diff --git a/.gitattributes b/.gitattributes index a6344aac8c09253b3b630fb776ae94478aa0275b..ea5ce4f59240f580b68fcaefd46527638793dd23 100644 --- a/.gitattributes +++ b/.gitattributes @@ -33,3 +33,17 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text *.zip filter=lfs diff=lfs merge=lfs -text *.zst filter=lfs diff=lfs merge=lfs -text *tfevents* filter=lfs diff=lfs merge=lfs -text +Musetalk/data/video/man_musev.mp4 filter=lfs diff=lfs merge=lfs -text +Musetalk/data/video/monalisa_musev.mp4 filter=lfs diff=lfs merge=lfs -text +Musetalk/data/video/seaside4_musev.mp4 filter=lfs diff=lfs merge=lfs -text +Musetalk/data/video/sit_musev.mp4 filter=lfs diff=lfs merge=lfs -text +Musetalk/data/video/sun_musev.mp4 filter=lfs diff=lfs merge=lfs -text +Musetalk/data/video/yongen_musev.mp4 filter=lfs diff=lfs merge=lfs -text +examples/source_image/art_16.png filter=lfs diff=lfs merge=lfs -text +examples/source_image/art_17.png filter=lfs diff=lfs merge=lfs -text +examples/source_image/art_3.png filter=lfs diff=lfs merge=lfs -text +examples/source_image/art_4.png filter=lfs diff=lfs merge=lfs -text +examples/source_image/art_5.png filter=lfs diff=lfs merge=lfs -text +examples/source_image/art_8.png filter=lfs diff=lfs merge=lfs -text +examples/source_image/art_9.png filter=lfs diff=lfs merge=lfs -text +inputs/boy.png filter=lfs diff=lfs merge=lfs -text diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..8fdad491f04f35f4a140c5fd110b9dab27301658 --- /dev/null +++ b/.gitignore @@ -0,0 +1,15 @@ +.DS_Store +checkpoints/ +gfpgan/ +__pycache__/ +*.pyc +Linly-AI +Qwen +checkpoints +temp +*.wav +*.vtt +*.srt +results/example_answer.mp4 +request-Linly-api.py +results diff --git a/.gitmodules b/.gitmodules new file mode 100644 index 0000000000000000000000000000000000000000..e845fe6baa8e33e87864be84b301cbec26ae40ee --- /dev/null +++ b/.gitmodules @@ -0,0 +1,10 @@ +[submodule "MuseV"] + path = MuseV + url = https://github.com/TMElyralab/MuseV.git + +[submodule "ChatTTS"] + path = ChatTTS + url = https://github.com/2noise/ChatTTS.git +[submodule "CosyVoice"] + path = CosyVoice + url = https://github.com/FunAudioLLM/CosyVoice.git diff --git a/ASR/FunASR.py b/ASR/FunASR.py new file mode 100644 index 0000000000000000000000000000000000000000..443c02f89d9d2114a617cfa36f6ebaf6e1ed78eb --- /dev/null +++ b/ASR/FunASR.py @@ -0,0 +1,54 @@ +''' +Reference: https://github.com/alibaba-damo-academy/FunASR +pip install funasr +pip install modelscope +pip install -U rotary_embedding_torch +''' +try: + from funasr import AutoModel +except: + print("如果想使用FunASR，请先安装funasr，若使用Whisper，请忽略此条信息") +import os +import sys +sys.path.append('./') +from src.cost_time import calculate_time + +class FunASR: + def __init__(self) -> None: + # 定义模型的自定义路径 + model_path = "FunASR/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch" + vad_model_path = "FunASR/speech_fsmn_vad_zh-cn-16k-common-pytorch" + punc_model_path = "FunASR/punc_ct-transformer_zh-cn-common-vocab272727-pytorch" + + # 检查文件是否存在于 FunASR 目录下 + model_exists = os.path.exists(model_path) + vad_model_exists = os.path.exists(vad_model_path) + punc_model_exists = os.path.exists(punc_model_path) + # Modelscope AutoDownload + self.model = AutoModel( + model=model_path if model_exists else "paraformer-zh", + vad_model=vad_model_path if vad_model_exists else "fsmn-vad", + punc_model=punc_model_path if punc_model_exists else "ct-punc-c", + ) + # 自定义路径 + # self.model = AutoModel(model="FunASR/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch", # model_revision="v2.0.4", + # vad_model="FunASR/speech_fsmn_vad_zh-cn-16k-common-pytorch", # vad_model_revision="v2.0.4", + # punc_model="FunASR/punc_ct-transformer_zh-cn-common-vocab272727-pytorch", # punc_model_revision="v2.0.4", + # # spk_model="cam++", spk_model_revision="v2.0.2", + # ) + @calculate_time + def transcribe(self, audio_file): + res = self.model.generate(input=audio_file, + batch_size_s=300) + print(res) + return res[0]['text'] + + +if __name__ == "__main__": + import os + # 创建ASR对象并进行语音识别 + audio_file = "output.wav" # 音频文件路径 + if not os.path.exists(audio_file): + os.system('edge-tts --text "hello" --write-media output.wav') + asr = FunASR() + print(asr.transcribe(audio_file)) \ No newline at end of file diff --git a/ASR/README.md b/ASR/README.md new file mode 100644 index 0000000000000000000000000000000000000000..7f418cce7dbc065392e059b57203fa3bb7407230 --- /dev/null +++ b/ASR/README.md @@ -0,0 +1,77 @@ +## ASR 同数字人沟通的桥梁 + +### Whisper OpenAI + +Whisper 是一个自动语音识别 (ASR) 系统，它使用从网络上收集的 680,000 小时多语言和多任务监督数据进行训练。使用如此庞大且多样化的数据集可以提高对口音、背景噪音和技术语言的鲁棒性。此外，它还支持多种语言的转录，以及将这些语言翻译成英语。 + +使用方法很简单，我们只要安装以下库，后续模型会自动下载 + +```bash +pip install -U openai-whisper +``` + +借鉴OpenAI的Whisper实现了ASR的语音识别，具体使用方法参考 [https://github.com/openai/whisper](https://github.com/openai/whisper) + +```python +''' +https://github.com/openai/whisper +pip install -U openai-whisper +''' +import whisper + +class WhisperASR: + def __init__(self, model_path): + self.LANGUAGES = { + "en": "english", + "zh": "chinese", + } + self.model = whisper.load_model(model_path) + + def transcribe(self, audio_file): + result = self.model.transcribe(audio_file) + return result["text"] +``` + + + +### FunASR Alibaba + +阿里的`FunASR`的语音识别效果也是相当不错，而且时间也是比whisper更快的，更能达到实时的效果，所以也将FunASR添加进去了，在ASR文件夹下的FunASR文件里可以进行体验，参考 [https://github.com/alibaba-damo-academy/FunASR](https://github.com/alibaba-damo-academy/FunASR) + +需要注意的是，在第一次运行的时候，需要安装以下库。 + +```bash +pip install funasr +pip install modelscope +pip install -U rotary_embedding_torch +``` + +```python +''' +Reference: https://github.com/alibaba-damo-academy/FunASR +pip install funasr +pip install modelscope +pip install -U rotary_embedding_torch +''' +try: + from funasr import AutoModel +except: + print("如果想使用FunASR，请先安装funasr，若使用Whisper，请忽略此条信息") + +class FunASR: + def __init__(self) -> None: + self.model = AutoModel(model="paraformer-zh", model_revision="v2.0.4", + vad_model="fsmn-vad", vad_model_revision="v2.0.4", + punc_model="ct-punc-c", punc_model_revision="v2.0.4", + # spk_model="cam++", spk_model_revision="v2.0.2", + ) + + def transcribe(self, audio_file): + res = self.model.generate(input=audio_file, + batch_size_s=300) + print(res) + return res[0]['text'] +``` + + + diff --git a/ASR/Whisper.py b/ASR/Whisper.py new file mode 100644 index 0000000000000000000000000000000000000000..eda52d6ff7d98d895d1d39aaa8730f44fd7a0087 --- /dev/null +++ b/ASR/Whisper.py @@ -0,0 +1,129 @@ +''' +https://github.com/openai/whisper +pip install -U openai-whisper +''' +import whisper +import sys +sys.path.append('./') +from src.cost_time import calculate_time + +class WhisperASR: + def __init__(self, model_path): + self.LANGUAGES = { + "en": "english", + "zh": "chinese", + "de": "german", + "es": "spanish", + "ru": "russian", + "ko": "korean", + "fr": "french", + "ja": "japanese", + "pt": "portuguese", + "tr": "turkish", + "pl": "polish", + "ca": "catalan", + "nl": "dutch", + "ar": "arabic", + "sv": "swedish", + "it": "italian", + "id": "indonesian", + "hi": "hindi", + "fi": "finnish", + "vi": "vietnamese", + "he": "hebrew", + "uk": "ukrainian", + "el": "greek", + "ms": "malay", + "cs": "czech", + "ro": "romanian", + "da": "danish", + "hu": "hungarian", + "ta": "tamil", + "no": "norwegian", + "th": "thai", + "ur": "urdu", + "hr": "croatian", + "bg": "bulgarian", + "lt": "lithuanian", + "la": "latin", + "mi": "maori", + "ml": "malayalam", + "cy": "welsh", + "sk": "slovak", + "te": "telugu", + "fa": "persian", + "lv": "latvian", + "bn": "bengali", + "sr": "serbian", + "az": "azerbaijani", + "sl": "slovenian", + "kn": "kannada", + "et": "estonian", + "mk": "macedonian", + "br": "breton", + "eu": "basque", + "is": "icelandic", + "hy": "armenian", + "ne": "nepali", + "mn": "mongolian", + "bs": "bosnian", + "kk": "kazakh", + "sq": "albanian", + "sw": "swahili", + "gl": "galician", + "mr": "marathi", + "pa": "punjabi", + "si": "sinhala", + "km": "khmer", + "sn": "shona", + "yo": "yoruba", + "so": "somali", + "af": "afrikaans", + "oc": "occitan", + "ka": "georgian", + "be": "belarusian", + "tg": "tajik", + "sd": "sindhi", + "gu": "gujarati", + "am": "amharic", + "yi": "yiddish", + "lo": "lao", + "uz": "uzbek", + "fo": "faroese", + "ht": "haitian creole", + "ps": "pashto", + "tk": "turkmen", + "nn": "nynorsk", + "mt": "maltese", + "sa": "sanskrit", + "lb": "luxembourgish", + "my": "myanmar", + "bo": "tibetan", + "tl": "tagalog", + "mg": "malagasy", + "as": "assamese", + "tt": "tatar", + "haw": "hawaiian", + "ln": "lingala", + "ha": "hausa", + "ba": "bashkir", + "jw": "javanese", + "su": "sundanese", + } + self.model = whisper.load_model(model_path) + + @calculate_time + def transcribe(self, audio_file): + result = self.model.transcribe(audio_file) + return result["text"] + + +if __name__ == "__main__": + import os + # 创建ASR对象并进行语音识别 + model_path = "./Whisper/tiny.pt" # 模型路径 + audio_file = "output.wav" # 音频文件路径 + if not os.path.exists(audio_file): + os.system('edge-tts --text "hello" --write-media output.wav') + asr = WhisperASR(model_path) + print(asr.transcribe(audio_file)) \ No newline at end of file diff --git a/ASR/__init__.py b/ASR/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..47ef79b3fcd251a626fe59cb690d0e5167cfee34 --- /dev/null +++ b/ASR/__init__.py @@ -0,0 +1,4 @@ +from .Whisper import WhisperASR +from .FunASR import FunASR + +__all__ = ['WhisperASR', 'FunASR'] diff --git a/ASR/requirements_funasr.txt b/ASR/requirements_funasr.txt new file mode 100644 index 0000000000000000000000000000000000000000..5d57a4158c358633e8c609ae85ddfa660ed45c44 --- /dev/null +++ b/ASR/requirements_funasr.txt @@ -0,0 +1,3 @@ +funasr +modelscope +# rotary_embedding_torch \ No newline at end of file diff --git "a/AutoDL\351\203\250\347\275\262.md" "b/AutoDL\351\203\250\347\275\262.md" new file mode 100644 index 0000000000000000000000000000000000000000..6de1f6c6cf1599f640258dd8278733247d159274 --- /dev/null +++ "b/AutoDL\351\203\250\347\275\262.md" @@ -0,0 +1,215 @@ +# 在AutoDL平台部署Linly-Talker (0基础小白超详细教程) + + + +- [在AutoDL平台部署Linly-Talker 0基础小白超详细教程](#%E5%9C%A8autodl%E5%B9%B3%E5%8F%B0%E9%83%A8%E7%BD%B2linly-talker-0%E5%9F%BA%E7%A1%80%E5%B0%8F%E7%99%BD%E8%B6%85%E8%AF%A6%E7%BB%86%E6%95%99%E7%A8%8B) + - [快速上手直接使用镜像以下安装操作全免](#%E5%BF%AB%E9%80%9F%E4%B8%8A%E6%89%8B%E7%9B%B4%E6%8E%A5%E4%BD%BF%E7%94%A8%E9%95%9C%E5%83%8F%E4%BB%A5%E4%B8%8B%E5%AE%89%E8%A3%85%E6%93%8D%E4%BD%9C%E5%85%A8%E5%85%8D) + - [一、注册AutoDL](#%E4%B8%80%E6%B3%A8%E5%86%8Cautodl) + - [二、创建实例](#%E4%BA%8C%E5%88%9B%E5%BB%BA%E5%AE%9E%E4%BE%8B) + - [登录AutoDL，进入算力市场，选择机器](#%E7%99%BB%E5%BD%95autodl%E8%BF%9B%E5%85%A5%E7%AE%97%E5%8A%9B%E5%B8%82%E5%9C%BA%E9%80%89%E6%8B%A9%E6%9C%BA%E5%99%A8) + - [配置基础镜像](#%E9%85%8D%E7%BD%AE%E5%9F%BA%E7%A1%80%E9%95%9C%E5%83%8F) + - [无卡模式开机](#%E6%97%A0%E5%8D%A1%E6%A8%A1%E5%BC%8F%E5%BC%80%E6%9C%BA) + - [三、部署环境](#%E4%B8%89%E9%83%A8%E7%BD%B2%E7%8E%AF%E5%A2%83) + - [进入终端](#%E8%BF%9B%E5%85%A5%E7%BB%88%E7%AB%AF) + - [下载代码文件](#%E4%B8%8B%E8%BD%BD%E4%BB%A3%E7%A0%81%E6%96%87%E4%BB%B6) + - [下载模型文件](#%E4%B8%8B%E8%BD%BD%E6%A8%A1%E5%9E%8B%E6%96%87%E4%BB%B6) + - [四、Linly-Talker项目](#%E5%9B%9Blinly-talker%E9%A1%B9%E7%9B%AE) + - [环境安装](#%E7%8E%AF%E5%A2%83%E5%AE%89%E8%A3%85) + - [端口设置](#%E7%AB%AF%E5%8F%A3%E8%AE%BE%E7%BD%AE) + - [有卡开机](#%E6%9C%89%E5%8D%A1%E5%BC%80%E6%9C%BA) + - [运行网页版对话webui](#%E8%BF%90%E8%A1%8C%E7%BD%91%E9%A1%B5%E7%89%88%E5%AF%B9%E8%AF%9Dwebui) + - [端口映射](#%E7%AB%AF%E5%8F%A3%E6%98%A0%E5%B0%84) + - [体验Linly-Talker（成功）](#%E4%BD%93%E9%AA%8Clinly-talker%E6%88%90%E5%8A%9F) + + + + + +## 快速上手直接使用镜像(以下安装操作全免) + +若使用我设定好的镜像，可以直接运行即可，不需要安装环境，直接运行webui.py或者是app_talk.py即可体验，不需要安装任何环境，可直接跳到4.4即可 + +访问后在自定义设置里面打开端口，默认是6006端口，直接使用运行即可！ + +```bash +python webui.py +python app_talk.py +``` + +环境模型都安装好了，直接使用即可，镜像地址在：[https://www.codewithgpu.com/i/Kedreamix/Linly-Talker/Kedreamix-Linly-Talker](https://www.codewithgpu.com/i/Kedreamix/Linly-Talker/Kedreamix-Linly-Talker)，感谢大家的支持 + + + +## 一、注册AutoDL + +[AutoDL官网](https://www.autodl.com/home) 注册账户好并充值，自己选择机器，我觉得如果正常跑一下，5元已经够了 + +![注册AutoDL](https://pic1.zhimg.com/v2-210a3e83c7d9d56900e1e4967106832f.png) + +## 二、创建实例 + +### 2.1 登录AutoDL，进入算力市场，选择机器 + +这一部分实际上我觉得12g都OK的，无非是速度问题而已 + +![选择RTX 3090机器](https://pic1.zhimg.com/v2-a9c077dbd42d0c1d018db942a340f81b.png) + + + +### 2.2 配置基础镜像 + +选择镜像，最好选择2.0以上可以体验克隆声音功能，其他无所谓 + +![配置基础镜像](https://picx.zhimg.com/v2-0a7770dd2e1449a097f72cc8d7e680c0.png) + + + +### 2.3 无卡模式开机 + +创建成功后为了省钱先关机，然后使用无卡模式开机。 +无卡模式一个小时只需要0.1元，比较适合部署环境。 + +![无卡模式开机](https://picx.zhimg.com/v2-792797164f527f103902949d2b55a036.png) + +## 三、部署环境 + +### 3.1 进入终端 + +打开jupyterLab，进入数据盘（autodl-tmp），打开终端，将Linly-Talker模型下载到数据盘中。 + +![进入终端](https://pic1.zhimg.com/v2-ab0bb3d4c1dcada54a3cae20860a981b.png) + + + +### 3.2 下载代码文件 + +根据Github上的说明，使用命令行下载模型文件和代码文件，利用学术加速会快一点 + +```bash +# 开启学术镜像，更快的clone代码 参考 https://www.autodl.com/docs/network_turbo/ +source /etc/network_turbo + +cd /root/autodl-tmp/ +# 下载代码 +git clone https://github.com/Kedreamix/Linly-Talker.git --depth 1 + +# 取消学术加速 +unset http_proxy && unset https_proxy +``` + + + +### 3.3 下载模型文件 + +我制作一个脚本可以完成下述所有模型的下载，无需用户过多操作。这种方式适合网络稳定的情况，并且特别适合 Linux 用户。对于 Windows 用户，也可以使用 Git 来下载模型。如果网络环境不稳定，用户可以选择使用手动下载方法，或者尝试运行 Shell 脚本来完成下载。脚本具有以下功能。 + +1. **选择下载方式**: 用户可以选择从三种不同的源下载模型：ModelScope、Huggingface 或 Huggingface 镜像站点。 +2. **下载模型**: 根据用户的选择，执行相应的下载命令。 +3. **移动模型文件**: 下载完成后，将模型文件移动到指定的目录。 +4. **错误处理**: 在每一步操作中加入了错误检查，如果操作失败，脚本会输出错误信息并停止执行。 + +选择使用`modelscope`来下载会快一点，不需要开学术加速，记得首先需要先安装modelscope库 + +```sh +# 下载modelscope +pip install modelscope -i https://pypi.tuna.tsinghua.edu.cn/simple +cd /root/autodl-tmp/Linly-Talker +sh scripts/download_models.sh +``` + +![下载文件](https://pic1.zhimg.com/v2-5f1edcc7f135797f130dbe1565e4e889.png) + +等待一段时间下载完以后，脚本会自动移动到对应的目录 + +![自动移动目录](https://pic1.zhimg.com/v2-7ed4657a8b45ef529bc62c49ad11eaa2.png) + +## 四、Linly-Talker项目 + +### 4.1 环境安装 + +进入代码路径，进行安装环境，由于选了镜像是含有pytorch的，所以只需要进行安装其他依赖即可，可能需要花一定的时间，建议直接使用安装好的镜像 + +```bash +cd /root/autodl-tmp/Linly-Talker + +conda install ffmpeg==4.2.2 # ffmpeg==4.2.2 + +# 升级pip +python -m pip install --upgrade pip +# 更换 pypi 源加速库的安装 +pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple + +pip install tb-nightly -i https://mirrors.aliyun.com/pypi/simple +pip install -r requirements_webui.txt + +# 安装有关musetalk依赖 +pip install --no-cache-dir -U openmim +mim install mmengine +mim install "mmcv>=2.0.1" +mim install "mmdet>=3.1.0" +mim install "mmpose>=1.1.0" + +# 安装NeRF-based依赖，可能问题较多，可以先放弃 +# 亲测需要有卡开机后再跑这个pytorch3d，需要一定的内存来编译 +pip install "git+https://github.com/facebookresearch/pytorch3d.git" + +# 若pyaudio出现问题，可安装对应依赖 +sudo apt-get update +sudo apt-get install libasound-dev portaudio19-dev libportaudio2 libportaudiocpp0 +pip install -r TFG/requirements_nerf.txt +``` + + + +### 4.2 有卡开机 + +进入autodl容器实例界面，执行关机操作，然后进行有卡开机，开机后打开jupyterLab。 + +查看配置 + +```bash +nvidia-smi +``` + +![有卡开机](https://pic1.zhimg.com/v2-c2b3e6ed2d39bb8a1e237b04b05e0480.png) + + + +### 4.3 运行网页版对话webui + +需要有卡模式开机，执行下边命令，这里面就跟代码是一模一样的了 + +```bash +cd /root/autodl-tmp/Linly-Talker +# 第一次运行可能会下载部分nltk，可以使用一下学术加速 +source /etc/network_turbo +python webui.py +``` + +![运行网页版对话webui](https://pica.zhimg.com/v2-472c322a57dc9e30f5c86b253124de87.png) + +### 4.4 端口映射 + +这可以直接打开autodl的自定义服务，默认是6006端口，我们已经设置了，所以直接使用即可 + +![端口映射](https://pic1.zhimg.com/v2-c25c84053dc971c8b8258ce8fdb3667e.png) + +另外还有一种端口映射方式，是通过输入ssh账密实现的，步骤是一样的 + +> ssh端口映射工具：windows：[https://autodl-public.ks3-cn-beijing.ksyuncs.com/tool/AutoDL-SSH-Tools.zip](https://autodl-public.ks3-cn-beijing.ksyuncs.com/tool/AutoDL-SSH-Tools.zip) + +### 4.5 体验Linly-Talker（成功） + +点开网页，即可正确执行Linly-Talker，这一部分就跟视频一模一样了 + +![体验Linly-Talker](https://picx.zhimg.com/v2-1559a5e3af76198e494bab29c5574b2d.png) + + + +![MuseTalk](https://picx.zhimg.com/v2-9b997ecb8d66250c9c228702f3f54ab3.png) + + + +**！！！注意：不用了，一定要去控制台=》容器实例，把镜像实例关机，它是按时收费的，不关机会一直扣费的。** + +**建议选北京区的，稍微便宜一些。可以晚上部署，网速快，便宜的GPU也充足。白天部署，北京区的GPU容易没有。** \ No newline at end of file diff --git a/ChatTTS/.gitignore b/ChatTTS/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..1ed4d073766b8943d66d08d5e86b54ca7b1e53f0 --- /dev/null +++ b/ChatTTS/.gitignore @@ -0,0 +1,163 @@ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class +*.ckpt +# C extensions +*.so +*.pt + +# Distribution / packaging +.Python +outputs/ +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +asset/* +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/#use-with-ide +.pdm.toml + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +#.idea/ diff --git a/ChatTTS/ChatTTS/__init__.py b/ChatTTS/ChatTTS/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..0f4c079ba76ed6799552a3db22f2f35d9489edd3 --- /dev/null +++ b/ChatTTS/ChatTTS/__init__.py @@ -0,0 +1 @@ +from .core import Chat \ No newline at end of file diff --git a/ChatTTS/ChatTTS/core.py b/ChatTTS/ChatTTS/core.py new file mode 100644 index 0000000000000000000000000000000000000000..facfbb4d249ec325870c1e89c26cbe3dc3845f70 --- /dev/null +++ b/ChatTTS/ChatTTS/core.py @@ -0,0 +1,200 @@ + +import os +import logging +from functools import partial +from omegaconf import OmegaConf + +import torch +from vocos import Vocos +from .model.dvae import DVAE +from .model.gpt import GPT_warpper +from .utils.gpu_utils import select_device +from .utils.infer_utils import count_invalid_characters, detect_language, apply_character_map, apply_half2full_map +from .utils.io_utils import get_latest_modified_file +from .infer.api import refine_text, infer_code + +from huggingface_hub import snapshot_download + +logging.basicConfig(level = logging.INFO) + + +class Chat: + def __init__(self, ): + self.pretrain_models = {} + self.normalizer = {} + self.logger = logging.getLogger(__name__) + + def check_model(self, level = logging.INFO, use_decoder = False): + not_finish = False + check_list = ['vocos', 'gpt', 'tokenizer'] + + if use_decoder: + check_list.append('decoder') + else: + check_list.append('dvae') + + for module in check_list: + if module not in self.pretrain_models: + self.logger.log(logging.WARNING, f'{module} not initialized.') + not_finish = True + + if not not_finish: + self.logger.log(level, f'All initialized.') + + return not not_finish + + def load_models(self, source='huggingface', force_redownload=False, local_path='', **kwargs): + if source == 'huggingface': + hf_home = os.getenv('HF_HOME', os.path.expanduser("~/.cache/huggingface")) + try: + download_path = get_latest_modified_file(os.path.join(hf_home, 'hub/models--2Noise--ChatTTS/snapshots')) + except: + download_path = None + if download_path is None or force_redownload: + self.logger.log(logging.INFO, f'Download from HF: https://huggingface.co/2Noise/ChatTTS') + download_path = snapshot_download(repo_id="2Noise/ChatTTS", allow_patterns=["*.pt", "*.yaml"]) + else: + self.logger.log(logging.INFO, f'Load from cache: {download_path}') + elif source == 'local': + self.logger.log(logging.INFO, f'Load from local: {local_path}') + download_path = local_path + + self._load(**{k: os.path.join(download_path, v) for k, v in OmegaConf.load(os.path.join(download_path, 'config', 'path.yaml')).items()}, **kwargs) + + def _load( + self, + vocos_config_path: str = None, + vocos_ckpt_path: str = None, + dvae_config_path: str = None, + dvae_ckpt_path: str = None, + gpt_config_path: str = None, + gpt_ckpt_path: str = None, + decoder_config_path: str = None, + decoder_ckpt_path: str = None, + tokenizer_path: str = None, + device: str = None, + compile: bool = True, + ): + if not device: + device = select_device(4096) + self.logger.log(logging.INFO, f'use {device}') + + if vocos_config_path: + vocos = Vocos.from_hparams(vocos_config_path).to(device).eval() + assert vocos_ckpt_path, 'vocos_ckpt_path should not be None' + vocos.load_state_dict(torch.load(vocos_ckpt_path)) + self.pretrain_models['vocos'] = vocos + self.logger.log(logging.INFO, 'vocos loaded.') + + if dvae_config_path: + cfg = OmegaConf.load(dvae_config_path) + dvae = DVAE(**cfg).to(device).eval() + assert dvae_ckpt_path, 'dvae_ckpt_path should not be None' + dvae.load_state_dict(torch.load(dvae_ckpt_path, map_location='cpu')) + self.pretrain_models['dvae'] = dvae + self.logger.log(logging.INFO, 'dvae loaded.') + + if gpt_config_path: + cfg = OmegaConf.load(gpt_config_path) + gpt = GPT_warpper(**cfg).to(device).eval() + assert gpt_ckpt_path, 'gpt_ckpt_path should not be None' + gpt.load_state_dict(torch.load(gpt_ckpt_path, map_location='cpu')) + if compile and 'cuda' in str(device): + gpt.gpt.forward = torch.compile(gpt.gpt.forward, backend='inductor', dynamic=True) + self.pretrain_models['gpt'] = gpt + spk_stat_path = os.path.join(os.path.dirname(gpt_ckpt_path), 'spk_stat.pt') + assert os.path.exists(spk_stat_path), f'Missing spk_stat.pt: {spk_stat_path}' + self.pretrain_models['spk_stat'] = torch.load(spk_stat_path).to(device) + self.logger.log(logging.INFO, 'gpt loaded.') + + if decoder_config_path: + cfg = OmegaConf.load(decoder_config_path) + decoder = DVAE(**cfg).to(device).eval() + assert decoder_ckpt_path, 'decoder_ckpt_path should not be None' + decoder.load_state_dict(torch.load(decoder_ckpt_path, map_location='cpu')) + self.pretrain_models['decoder'] = decoder + self.logger.log(logging.INFO, 'decoder loaded.') + + if tokenizer_path: + tokenizer = torch.load(tokenizer_path, map_location='cpu') + tokenizer.padding_side = 'left' + self.pretrain_models['tokenizer'] = tokenizer + self.logger.log(logging.INFO, 'tokenizer loaded.') + + self.check_model() + + def infer( + self, + text, + skip_refine_text=False, + refine_text_only=False, + params_refine_text={}, + params_infer_code={'prompt':'[speed_5]'}, + use_decoder=True, + do_text_normalization=True, + lang=None, + ): + + assert self.check_model(use_decoder=use_decoder) + + if not isinstance(text, list): + text = [text] + + if do_text_normalization: + for i, t in enumerate(text): + _lang = detect_language(t) if lang is None else lang + self.init_normalizer(_lang) + text[i] = self.normalizer[_lang](t) + if _lang == 'zh': + text[i] = apply_half2full_map(text[i]) + + for i, t in enumerate(text): + invalid_characters = count_invalid_characters(t) + if len(invalid_characters): + self.logger.log(logging.WARNING, f'Invalid characters found! : {invalid_characters}') + text[i] = apply_character_map(t) + + if not skip_refine_text: + text_tokens = refine_text(self.pretrain_models, text, **params_refine_text)['ids'] + text_tokens = [i[i < self.pretrain_models['tokenizer'].convert_tokens_to_ids('[break_0]')] for i in text_tokens] + text = self.pretrain_models['tokenizer'].batch_decode(text_tokens) + if refine_text_only: + return text + + text = [params_infer_code.get('prompt', '') + i for i in text] + params_infer_code.pop('prompt', '') + result = infer_code(self.pretrain_models, text, **params_infer_code, return_hidden=use_decoder) + + if use_decoder: + mel_spec = [self.pretrain_models['decoder'](i[None].permute(0,2,1)) for i in result['hiddens']] + else: + mel_spec = [self.pretrain_models['dvae'](i[None].permute(0,2,1)) for i in result['ids']] + + wav = [self.pretrain_models['vocos'].decode(i).cpu().numpy() for i in mel_spec] + + return wav + + def sample_random_speaker(self, ): + + dim = self.pretrain_models['gpt'].gpt.layers[0].mlp.gate_proj.in_features + std, mean = self.pretrain_models['spk_stat'].chunk(2) + return torch.randn(dim, device=std.device) * std + mean + + def init_normalizer(self, lang): + + if lang not in self.normalizer: + if lang == 'zh': + try: + from tn.chinese.normalizer import Normalizer + except: + self.logger.log(logging.WARNING, f'Package WeTextProcessing not found! \ + Run: conda install -c conda-forge pynini=2.1.5 && pip install WeTextProcessing') + self.normalizer[lang] = Normalizer().normalize + else: + try: + from nemo_text_processing.text_normalization.normalize import Normalizer + except: + self.logger.log(logging.WARNING, f'Package nemo_text_processing not found! \ + Run: conda install -c conda-forge pynini=2.1.5 && pip install nemo_text_processing') + self.normalizer[lang] = partial(Normalizer(input_case='cased', lang=lang).normalize, verbose=False, punct_post_process=True) + diff --git a/ChatTTS/ChatTTS/experimental/llm.py b/ChatTTS/ChatTTS/experimental/llm.py new file mode 100644 index 0000000000000000000000000000000000000000..a4e5f94d8e08b0d2c2ceb806cf4efc11b891dd1f --- /dev/null +++ b/ChatTTS/ChatTTS/experimental/llm.py @@ -0,0 +1,40 @@ + +from openai import OpenAI + +prompt_dict = { + 'kimi': [ {"role": "system", "content": "你是 Kimi，由 Moonshot AI 提供的人工智能助手，你更擅长中文和英文的对话。"}, + {"role": "user", "content": "你好，请注意你现在生成的文字要按照人日常生活的口吻，你的回复将会后续用TTS模型转为语音，并且请把回答控制在100字以内。并且标点符号仅包含逗号和句号，将数字等转为文字回答。"}, + {"role": "assistant", "content": "好的，我现在生成的文字将按照人日常生活的口吻， 并且我会把回答控制在一百字以内, 标点符号仅包含逗号和句号，将阿拉伯数字等转为中文文字回答。下面请开始对话。"},], + 'deepseek': [ + {"role": "system", "content": "You are a helpful assistant"}, + {"role": "user", "content": "你好，请注意你现在生成的文字要按照人日常生活的口吻，你的回复将会后续用TTS模型转为语音，并且请把回答控制在100字以内。并且标点符号仅包含逗号和句号，将数字等转为文字回答。"}, + {"role": "assistant", "content": "好的，我现在生成的文字将按照人日常生活的口吻， 并且我会把回答控制在一百字以内, 标点符号仅包含逗号和句号，将阿拉伯数字等转为中文文字回答。下面请开始对话。"},], + 'deepseek_TN': [ + {"role": "system", "content": "You are a helpful assistant"}, + {"role": "user", "content": "你好，现在我们在处理TTS的文本输入，下面将会给你输入一段文本，请你将其中的阿拉伯数字等等转为文字表达，并且输出的文本里仅包含逗号和句号这两个标点符号"}, + {"role": "assistant", "content": "好的，我现在对TTS的文本输入进行处理。这一般叫做text normalization。下面请输入"}, + {"role": "user", "content": "We paid $123 for this desk."}, + {"role": "assistant", "content": "We paid one hundred and twenty three dollars for this desk."}, + {"role": "user", "content": "详询请拨打010-724654"}, + {"role": "assistant", "content": "详询请拨打零幺零，七二四六五四"}, + {"role": "user", "content": "罗森宣布将于7月24日退市，在华门店超6000家！"}, + {"role": "assistant", "content": "罗森宣布将于七月二十四日退市，在华门店超过六千家。"}, + ], +} + +class llm_api: + def __init__(self, api_key, base_url, model): + self.client = OpenAI( + api_key = api_key, + base_url = base_url, + ) + self.model = model + def call(self, user_question, temperature = 0.3, prompt_version='kimi', **kwargs): + + completion = self.client.chat.completions.create( + model = self.model, + messages = prompt_dict[prompt_version]+[{"role": "user", "content": user_question},], + temperature = temperature, + **kwargs + ) + return completion.choices[0].message.content diff --git a/ChatTTS/ChatTTS/infer/api.py b/ChatTTS/ChatTTS/infer/api.py new file mode 100644 index 0000000000000000000000000000000000000000..744dbbd26cb20fceffedc97a7e160f49a26251d5 --- /dev/null +++ b/ChatTTS/ChatTTS/infer/api.py @@ -0,0 +1,125 @@ + +import torch +import torch.nn.functional as F +from transformers.generation import TopKLogitsWarper, TopPLogitsWarper +from ..utils.infer_utils import CustomRepetitionPenaltyLogitsProcessorRepeat + +def infer_code( + models, + text, + spk_emb = None, + top_P = 0.7, + top_K = 20, + temperature = 0.3, + repetition_penalty = 1.05, + max_new_token = 2048, + **kwargs +): + + device = next(models['gpt'].parameters()).device + + if not isinstance(text, list): + text = [text] + + if not isinstance(temperature, list): + temperature = [temperature] * models['gpt'].num_vq + + if spk_emb is not None: + text = [f'[Stts][spk_emb]{i}[Ptts]' for i in text] + else: + text = [f'[Stts][empty_spk]{i}[Ptts]' for i in text] + + text_token = models['tokenizer'](text, return_tensors='pt', add_special_tokens=False, padding=True).to(device) + input_ids = text_token['input_ids'][...,None].expand(-1, -1, models['gpt'].num_vq) + text_mask = torch.ones(text_token['input_ids'].shape, dtype=bool, device=device) + + inputs = { + 'input_ids': input_ids, + 'text_mask': text_mask, + 'attention_mask': text_token['attention_mask'], + } + + emb = models['gpt'].get_emb(**inputs) + if spk_emb is not None: + emb[inputs['input_ids'][..., 0] == models['tokenizer'].convert_tokens_to_ids('[spk_emb]')] = \ + F.normalize(spk_emb.to(device).to(emb.dtype)[None].expand(len(text), -1), p=2.0, dim=1, eps=1e-12) + + num_code = models['gpt'].emb_code[0].num_embeddings - 1 + + LogitsWarpers = [] + if top_P is not None: + LogitsWarpers.append(TopPLogitsWarper(top_P, min_tokens_to_keep=3)) + if top_K is not None: + LogitsWarpers.append(TopKLogitsWarper(top_K, min_tokens_to_keep=3)) + + LogitsProcessors = [] + if repetition_penalty is not None and repetition_penalty != 1: + LogitsProcessors.append(CustomRepetitionPenaltyLogitsProcessorRepeat(\ + repetition_penalty, num_code, 16)) + + result = models['gpt'].generate( + emb, inputs['input_ids'], + temperature = torch.tensor(temperature, device=device), + attention_mask = inputs['attention_mask'], + LogitsWarpers = LogitsWarpers, + LogitsProcessors = LogitsProcessors, + eos_token = num_code, + max_new_token = max_new_token, + infer_text = False, + **kwargs + ) + + return result + + +def refine_text( + models, + text, + top_P = 0.7, + top_K = 20, + temperature = 0.7, + repetition_penalty = 1.0, + max_new_token = 384, + prompt = '', + **kwargs +): + + device = next(models['gpt'].parameters()).device + + if not isinstance(text, list): + text = [text] + + assert len(text), 'text should not be empty' + + text = [f"[Sbreak]{i}[Pbreak]{prompt}" for i in text] + text_token = models['tokenizer'](text, return_tensors='pt', add_special_tokens=False, padding=True).to(device) + text_mask = torch.ones(text_token['input_ids'].shape, dtype=bool, device=device) + + inputs = { + 'input_ids': text_token['input_ids'][...,None].expand(-1, -1, models['gpt'].num_vq), + 'text_mask': text_mask, + 'attention_mask': text_token['attention_mask'], + } + + LogitsWarpers = [] + if top_P is not None: + LogitsWarpers.append(TopPLogitsWarper(top_P, min_tokens_to_keep=3)) + if top_K is not None: + LogitsWarpers.append(TopKLogitsWarper(top_K, min_tokens_to_keep=3)) + + LogitsProcessors = [] + if repetition_penalty is not None and repetition_penalty != 1: + LogitsProcessors.append(CustomRepetitionPenaltyLogitsProcessorRepeat(repetition_penalty, len(models['tokenizer']), 16)) + + result = models['gpt'].generate( + models['gpt'].get_emb(**inputs), inputs['input_ids'], + temperature = torch.tensor([temperature,], device=device), + attention_mask = inputs['attention_mask'], + LogitsWarpers = LogitsWarpers, + LogitsProcessors = LogitsProcessors, + eos_token = torch.tensor(models['tokenizer'].convert_tokens_to_ids('[Ebreak]'), device=device)[None], + max_new_token = max_new_token, + infer_text = True, + **kwargs + ) + return result \ No newline at end of file diff --git a/ChatTTS/ChatTTS/model/dvae.py b/ChatTTS/ChatTTS/model/dvae.py new file mode 100644 index 0000000000000000000000000000000000000000..336e8e16cdea41669a581f326047d945d81f2933 --- /dev/null +++ b/ChatTTS/ChatTTS/model/dvae.py @@ -0,0 +1,155 @@ +import math +from einops import rearrange +from vector_quantize_pytorch import GroupedResidualFSQ + +import torch +import torch.nn as nn +import torch.nn.functional as F + +class ConvNeXtBlock(nn.Module): + def __init__( + self, + dim: int, + intermediate_dim: int, + kernel, dilation, + layer_scale_init_value: float = 1e-6, + ): + # ConvNeXt Block copied from Vocos. + super().__init__() + self.dwconv = nn.Conv1d(dim, dim, + kernel_size=kernel, padding=dilation*(kernel//2), + dilation=dilation, groups=dim + ) # depthwise conv + + self.norm = nn.LayerNorm(dim, eps=1e-6) + self.pwconv1 = nn.Linear(dim, intermediate_dim) # pointwise/1x1 convs, implemented with linear layers + self.act = nn.GELU() + self.pwconv2 = nn.Linear(intermediate_dim, dim) + self.gamma = ( + nn.Parameter(layer_scale_init_value * torch.ones(dim), requires_grad=True) + if layer_scale_init_value > 0 + else None + ) + + def forward(self, x: torch.Tensor, cond = None) -> torch.Tensor: + residual = x + x = self.dwconv(x) + x = x.transpose(1, 2) # (B, C, T) -> (B, T, C) + x = self.norm(x) + x = self.pwconv1(x) + x = self.act(x) + x = self.pwconv2(x) + if self.gamma is not None: + x = self.gamma * x + x = x.transpose(1, 2) # (B, T, C) -> (B, C, T) + + x = residual + x + return x + + + +class GFSQ(nn.Module): + + def __init__(self, + dim, levels, G, R, eps=1e-5, transpose = True + ): + super(GFSQ, self).__init__() + self.quantizer = GroupedResidualFSQ( + dim=dim, + levels=levels, + num_quantizers=R, + groups=G, + ) + self.n_ind = math.prod(levels) + self.eps = eps + self.transpose = transpose + self.G = G + self.R = R + + def _embed(self, x): + if self.transpose: + x = x.transpose(1,2) + x = rearrange( + x, "b t (g r) -> g b t r", g = self.G, r = self.R, + ) + feat = self.quantizer.get_output_from_indices(x) + return feat.transpose(1,2) if self.transpose else feat + + def forward(self, x,): + if self.transpose: + x = x.transpose(1,2) + feat, ind = self.quantizer(x) + ind = rearrange( + ind, "g b t r ->b t (g r)", + ) + embed_onehot = F.one_hot(ind.long(), self.n_ind).to(x.dtype) + e_mean = torch.mean(embed_onehot, dim=[0,1]) + e_mean = e_mean / (e_mean.sum(dim=1) + self.eps).unsqueeze(1) + perplexity = torch.exp(-torch.sum(e_mean * torch.log(e_mean + self.eps), dim=1)) + + return ( + torch.zeros(perplexity.shape, dtype=x.dtype, device=x.device), + feat.transpose(1,2) if self.transpose else feat, + perplexity, + None, + ind.transpose(1,2) if self.transpose else ind, + ) + +class DVAEDecoder(nn.Module): + def __init__(self, idim, odim, + n_layer = 12, bn_dim = 64, hidden = 256, + kernel = 7, dilation = 2, up = False + ): + super().__init__() + self.up = up + self.conv_in = nn.Sequential( + nn.Conv1d(idim, bn_dim, 3, 1, 1), nn.GELU(), + nn.Conv1d(bn_dim, hidden, 3, 1, 1) + ) + self.decoder_block = nn.ModuleList([ + ConvNeXtBlock(hidden, hidden* 4, kernel, dilation,) + for _ in range(n_layer)]) + self.conv_out = nn.Conv1d(hidden, odim, kernel_size=1, bias=False) + + def forward(self, input, conditioning=None): + # B, T, C + x = input.transpose(1, 2) + x = self.conv_in(x) + for f in self.decoder_block: + x = f(x, conditioning) + + x = self.conv_out(x) + return x.transpose(1, 2) + + +class DVAE(nn.Module): + def __init__( + self, decoder_config, vq_config, dim=512 + ): + super().__init__() + self.register_buffer('coef', torch.randn(1, 100, 1)) + + self.decoder = DVAEDecoder(**decoder_config) + self.out_conv = nn.Conv1d(dim, 100, 3, 1, 1, bias=False) + if vq_config is not None: + self.vq_layer = GFSQ(**vq_config) + else: + self.vq_layer = None + + def forward(self, inp): + + if self.vq_layer is not None: + vq_feats = self.vq_layer._embed(inp) + else: + vq_feats = inp.detach().clone() + + temp = torch.chunk(vq_feats, 2, dim=1) # flatten trick :) + temp = torch.stack(temp, -1) + vq_feats = temp.reshape(*temp.shape[:2], -1) + + vq_feats = vq_feats.transpose(1, 2) + dec_out = self.decoder(input=vq_feats) + dec_out = self.out_conv(dec_out.transpose(1, 2)) + mel = dec_out * self.coef + + return mel diff --git a/ChatTTS/ChatTTS/model/gpt.py b/ChatTTS/ChatTTS/model/gpt.py new file mode 100644 index 0000000000000000000000000000000000000000..de90d9b744aeb4d5f38f62faad744032c4166af7 --- /dev/null +++ b/ChatTTS/ChatTTS/model/gpt.py @@ -0,0 +1,265 @@ +import os +os.environ["TOKENIZERS_PARALLELISM"] = "false" + +import logging +from tqdm import tqdm +from einops import rearrange +from transformers.cache_utils import Cache + +import torch +import torch.nn as nn +import torch.nn.functional as F +import torch.nn.utils.parametrize as P +from torch.nn.utils.parametrizations import weight_norm +from transformers import LlamaModel, LlamaConfig + + +class LlamaMLP(nn.Module): + def __init__(self, hidden_size, intermediate_size): + super().__init__() + self.hidden_size = hidden_size + self.intermediate_size = intermediate_size + self.gate_proj = nn.Linear(self.hidden_size, self.intermediate_size, bias=False) + self.up_proj = nn.Linear(self.hidden_size, self.intermediate_size, bias=False) + self.down_proj = nn.Linear(self.intermediate_size, self.hidden_size, bias=False) + self.act_fn = F.silu + + def forward(self, x): + down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x)) + return down_proj + + +class GPT_warpper(nn.Module): + def __init__( + self, + gpt_config, + num_audio_tokens, + num_text_tokens, + num_vq=4, + **kwargs, + ): + super().__init__() + + self.logger = logging.getLogger(__name__) + self.gpt = self.build_model(gpt_config) + self.model_dim = self.gpt.config.hidden_size + + self.num_vq = num_vq + self.emb_code = nn.ModuleList([nn.Embedding(num_audio_tokens, self.model_dim) for i in range(self.num_vq)]) + self.emb_text = nn.Embedding(num_text_tokens, self.model_dim) + self.head_text = weight_norm(nn.Linear(self.model_dim, num_text_tokens, bias=False), name='weight') + self.head_code = nn.ModuleList([weight_norm(nn.Linear(self.model_dim, num_audio_tokens, bias=False), name='weight') for i in range(self.num_vq)]) + + def build_model(self, config): + + configuration = LlamaConfig(**config) + model = LlamaModel(configuration) + del model.embed_tokens + + return model + + def get_emb(self, input_ids, text_mask, **kwargs): + + emb_text = self.emb_text(input_ids[text_mask][:, 0]) + + emb_code = [self.emb_code[i](input_ids[~text_mask][:, i]) for i in range(self.num_vq)] + emb_code = torch.stack(emb_code, 2).sum(2) + + emb = torch.zeros((input_ids.shape[:-1])+(emb_text.shape[-1],), device=emb_text.device, dtype=emb_text.dtype) + emb[text_mask] = emb_text + emb[~text_mask] = emb_code.to(emb.dtype) + + return emb + + def prepare_inputs_for_generation( + self, input_ids, past_key_values=None, attention_mask=None, inputs_embeds=None, cache_position=None, **kwargs + ): + # With static cache, the `past_key_values` is None + # TODO joao: standardize interface for the different Cache classes and remove of this if + has_static_cache = False + if past_key_values is None: + past_key_values = getattr(self.gpt.layers[0].self_attn, "past_key_value", None) + has_static_cache = past_key_values is not None + + past_length = 0 + if past_key_values is not None: + if isinstance(past_key_values, Cache): + past_length = cache_position[0] if cache_position is not None else past_key_values.get_seq_length() + max_cache_length = ( + torch.tensor(past_key_values.get_max_length(), device=input_ids.device) + if past_key_values.get_max_length() is not None + else None + ) + cache_length = past_length if max_cache_length is None else torch.min(max_cache_length, past_length) + # TODO joao: remove this `else` after `generate` prioritizes `Cache` objects + else: + cache_length = past_length = past_key_values[0][0].shape[2] + max_cache_length = None + + # Keep only the unprocessed tokens: + # 1 - If the length of the attention_mask exceeds the length of input_ids, then we are in a setting where + # some of the inputs are exclusively passed as part of the cache (e.g. when passing input_embeds as + # input) + if attention_mask is not None and attention_mask.shape[1] > input_ids.shape[1]: + input_ids = input_ids[:, -(attention_mask.shape[1] - past_length) :] + # 2 - If the past_length is smaller than input_ids', then input_ids holds all input tokens. We can discard + # input_ids based on the past_length. + elif past_length < input_ids.shape[1]: + input_ids = input_ids[:, past_length:] + # 3 - Otherwise (past_length >= input_ids.shape[1]), let's assume input_ids only has unprocessed tokens. + + # If we are about to go beyond the maximum cache length, we need to crop the input attention mask. + if ( + max_cache_length is not None + and attention_mask is not None + and cache_length + input_ids.shape[1] > max_cache_length + ): + attention_mask = attention_mask[:, -max_cache_length:] + + position_ids = kwargs.get("position_ids", None) + if attention_mask is not None and position_ids is None: + # create position_ids on the fly for batch generation + position_ids = attention_mask.long().cumsum(-1) - 1 + position_ids.masked_fill_(attention_mask == 0, 1) + if past_key_values: + position_ids = position_ids[:, -input_ids.shape[1] :] + + # if `inputs_embeds` are passed, we only want to use them in the 1st generation step + if inputs_embeds is not None and past_key_values is None: + model_inputs = {"inputs_embeds": inputs_embeds} + else: + # The `contiguous()` here is necessary to have a static stride during decoding. torchdynamo otherwise + # recompiles graphs as the stride of the inputs is a guard. Ref: https://github.com/huggingface/transformers/pull/29114 + # TODO: use `next_tokens` directly instead. + model_inputs = {"input_ids": input_ids.contiguous()} + + input_length = position_ids.shape[-1] if position_ids is not None else input_ids.shape[-1] + if cache_position is None: + cache_position = torch.arange(past_length, past_length + input_length, device=input_ids.device) + else: + cache_position = cache_position[-input_length:] + + if has_static_cache: + past_key_values = None + + model_inputs.update( + { + "position_ids": position_ids, + "cache_position": cache_position, + "past_key_values": past_key_values, + "use_cache": kwargs.get("use_cache"), + "attention_mask": attention_mask, + } + ) + return model_inputs + + def generate( + self, + emb, + inputs_ids, + temperature, + eos_token, + attention_mask = None, + max_new_token = 2048, + min_new_token = 0, + LogitsWarpers = [], + LogitsProcessors = [], + infer_text=False, + return_attn=False, + return_hidden=False, + ): + + with torch.no_grad(): + + attentions = [] + hiddens = [] + + start_idx, end_idx = inputs_ids.shape[1], torch.zeros(inputs_ids.shape[0], device=inputs_ids.device, dtype=torch.long) + finish = torch.zeros(inputs_ids.shape[0], device=inputs_ids.device).bool() + + temperature = temperature[None].expand(inputs_ids.shape[0], -1) + temperature = rearrange(temperature, "b n -> (b n) 1") + + attention_mask_cache = torch.ones((inputs_ids.shape[0], inputs_ids.shape[1]+max_new_token,), dtype=torch.bool, device=inputs_ids.device) + if attention_mask is not None: + attention_mask_cache[:, :attention_mask.shape[1]] = attention_mask + + for i in tqdm(range(max_new_token)): + + model_input = self.prepare_inputs_for_generation(inputs_ids, + outputs.past_key_values if i!=0 else None, + attention_mask_cache[:, :inputs_ids.shape[1]], use_cache=True) + + if i == 0: + model_input['inputs_embeds'] = emb + else: + if infer_text: + model_input['inputs_embeds'] = self.emb_text(model_input['input_ids'][:,:,0]) + else: + code_emb = [self.emb_code[i](model_input['input_ids'][:,:,i]) for i in range(self.num_vq)] + model_input['inputs_embeds'] = torch.stack(code_emb, 3).sum(3) + + model_input['input_ids'] = None + outputs = self.gpt.forward(**model_input, output_attentions=return_attn) + attentions.append(outputs.attentions) + hidden_states = outputs[0] # 🐻 + if return_hidden: + hiddens.append(hidden_states[:, -1]) + + with P.cached(): + if infer_text: + logits = self.head_text(hidden_states) + else: + logits = torch.stack([self.head_code[i](hidden_states) for i in range(self.num_vq)], 3) + + logits = logits[:, -1].float() + + if not infer_text: + logits = rearrange(logits, "b c n -> (b n) c") + logits_token = rearrange(inputs_ids[:, start_idx:], "b c n -> (b n) c") + else: + logits_token = inputs_ids[:, start_idx:, 0] + + logits = logits / temperature + + for logitsProcessors in LogitsProcessors: + logits = logitsProcessors(logits_token, logits) + + for logitsWarpers in LogitsWarpers: + logits = logitsWarpers(logits_token, logits) + + if i < min_new_token: + logits[:, eos_token] = -torch.inf + + scores = F.softmax(logits, dim=-1) + + idx_next = torch.multinomial(scores, num_samples=1) + + if not infer_text: + idx_next = rearrange(idx_next, "(b n) 1 -> b n", n=self.num_vq) + finish = finish | (idx_next == eos_token).any(1) + inputs_ids = torch.cat([inputs_ids, idx_next.unsqueeze(1)], 1) + else: + finish = finish | (idx_next == eos_token).any(1) + inputs_ids = torch.cat([inputs_ids, idx_next.unsqueeze(-1).expand(-1, -1, self.num_vq)], 1) + + end_idx = end_idx + (~finish).int() + + if finish.all(): + break + + inputs_ids = [inputs_ids[idx, start_idx: start_idx+i] for idx, i in enumerate(end_idx.int())] + inputs_ids = [i[:, 0] for i in inputs_ids] if infer_text else inputs_ids + + if return_hidden: + hiddens = torch.stack(hiddens, 1) + hiddens = [hiddens[idx, :i] for idx, i in enumerate(end_idx.int())] + + if not finish.all(): + self.logger.warn(f'Incomplete result. hit max_new_token: {max_new_token}') + + return { + 'ids': inputs_ids, + 'attentions': attentions, + 'hiddens':hiddens, + } \ No newline at end of file diff --git a/ChatTTS/ChatTTS/utils/gpu_utils.py b/ChatTTS/ChatTTS/utils/gpu_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..13c7add8f07c600324a76e2fc16e5c4f60ed67fd --- /dev/null +++ b/ChatTTS/ChatTTS/utils/gpu_utils.py @@ -0,0 +1,23 @@ + +import torch +import logging + +def select_device(min_memory = 2048): + logger = logging.getLogger(__name__) + if torch.cuda.is_available(): + available_gpus = [] + for i in range(torch.cuda.device_count()): + props = torch.cuda.get_device_properties(i) + free_memory = props.total_memory - torch.cuda.memory_reserved(i) + available_gpus.append((i, free_memory)) + selected_gpu, max_free_memory = max(available_gpus, key=lambda x: x[1]) + device = torch.device(f'cuda:{selected_gpu}') + free_memory_mb = max_free_memory / (1024 * 1024) + if free_memory_mb < min_memory: + logger.log(logging.WARNING, f'GPU {selected_gpu} has {round(free_memory_mb, 2)} MB memory left.') + device = torch.device('cpu') + else: + logger.log(logging.WARNING, f'No GPU found, use CPU instead') + device = torch.device('cpu') + + return device diff --git a/ChatTTS/ChatTTS/utils/infer_utils.py b/ChatTTS/ChatTTS/utils/infer_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..74efceade6d433be97e8517b8d28251f399b3b41 --- /dev/null +++ b/ChatTTS/ChatTTS/utils/infer_utils.py @@ -0,0 +1,141 @@ + +import re +import torch +import torch.nn.functional as F + + +class CustomRepetitionPenaltyLogitsProcessorRepeat(): + + def __init__(self, penalty: float, max_input_ids, past_window): + if not isinstance(penalty, float) or not (penalty > 0): + raise ValueError(f"`penalty` has to be a strictly positive float, but is {penalty}") + + self.penalty = penalty + self.max_input_ids = max_input_ids + self.past_window = past_window + + def __call__(self, input_ids: torch.LongTensor, scores: torch.FloatTensor) -> torch.FloatTensor: + + input_ids = input_ids[:, -self.past_window:] + freq = F.one_hot(input_ids, scores.size(1)).sum(1) + freq[self.max_input_ids:] = 0 + alpha = self.penalty**freq + scores = torch.where(scores < 0, scores*alpha, scores/alpha) + + return scores + +class CustomRepetitionPenaltyLogitsProcessor(): + + def __init__(self, penalty: float, max_input_ids, past_window): + if not isinstance(penalty, float) or not (penalty > 0): + raise ValueError(f"`penalty` has to be a strictly positive float, but is {penalty}") + + self.penalty = penalty + self.max_input_ids = max_input_ids + self.past_window = past_window + + def __call__(self, input_ids: torch.LongTensor, scores: torch.FloatTensor) -> torch.FloatTensor: + + input_ids = input_ids[:, -self.past_window:] + score = torch.gather(scores, 1, input_ids) + _score = score.detach().clone() + score = torch.where(score < 0, score * self.penalty, score / self.penalty) + score[input_ids>=self.max_input_ids] = _score[input_ids>=self.max_input_ids] + scores.scatter_(1, input_ids, score) + + return scores + +def count_invalid_characters(s): + + s = re.sub(r'\[uv_break\]|\[laugh\]|\[lbreak\]', '', s) + pattern = re.compile(r'[^\u4e00-\u9fffA-Za-z，。、,\. ]') + non_alphabetic_chinese_chars = pattern.findall(s) + return set(non_alphabetic_chinese_chars) + +def detect_language(sentence): + + chinese_char_pattern = re.compile(r'[\u4e00-\u9fff]') + english_word_pattern = re.compile(r'\b[A-Za-z]+\b') + + chinese_chars = chinese_char_pattern.findall(sentence) + english_words = english_word_pattern.findall(sentence) + + if len(chinese_chars) > len(english_words): + return "zh" + else: + return "en" + + +character_map = { + '：': '，', + '；': '，', + '！': '。', + '（': '，', + '）': '，', + '【': '，', + '】': '，', + '『': '，', + '』': '，', + '「': '，', + '」': '，', + '《': '，', + '》': '，', + '－': '，', + '‘': '', + '“': '', + '’': '', + '”': '', + ':': ',', + ';': ',', + '!': '.', + '(': ',', + ')': ',', + '[': ',', + ']': ',', + '>': ',', + '<': ',', + '-': ',', +} + +halfwidth_2_fullwidth_map = { + '!': '！', + '"': '“', + "'": '‘', + '#': '＃', + '$': '＄', + '%': '％', + '&': '＆', + '(': '（', + ')': '）', + ',': '，', + '-': '－', + '*': '＊', + '+': '＋', + '.': '。', + '/': '／', + ':': '：', + ';': '；', + '<': '＜', + '=': '＝', + '>': '＞', + '?': '？', + '@': '＠', + # '[': '［', + '\\': '＼', + # ']': '］', + '^': '＾', + # '_': '＿', + '`': '｀', + '{': '｛', + '|': '｜', + '}': '｝', + '~': '～' + } + +def apply_half2full_map(text): + translation_table = str.maketrans(halfwidth_2_fullwidth_map) + return text.translate(translation_table) + +def apply_character_map(text): + translation_table = str.maketrans(character_map) + return text.translate(translation_table) \ No newline at end of file diff --git a/ChatTTS/ChatTTS/utils/io_utils.py b/ChatTTS/ChatTTS/utils/io_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..b3f5eda06504ac69ceff9cb4fe5ecb0fbf112b3f --- /dev/null +++ b/ChatTTS/ChatTTS/utils/io_utils.py @@ -0,0 +1,14 @@ + +import os +import logging + +def get_latest_modified_file(directory): + logger = logging.getLogger(__name__) + + files = [os.path.join(directory, f) for f in os.listdir(directory)] + if not files: + logger.log(logging.WARNING, f'No files found in the directory: {directory}') + return None + latest_file = max(files, key=os.path.getmtime) + + return latest_file \ No newline at end of file diff --git a/ChatTTS/LICENSE b/ChatTTS/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..c657cab45c850057a63b3605897f5195f3c4ac02 --- /dev/null +++ b/ChatTTS/LICENSE @@ -0,0 +1,407 @@ +Attribution-NonCommercial 4.0 International + +======================================================================= + +Creative Commons Corporation ("Creative Commons") is not a law firm and +does not provide legal services or legal advice. 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For +the avoidance of doubt, this paragraph does not form part of the +public licenses. + +Creative Commons may be contacted at creativecommons.org. diff --git a/ChatTTS/README.md b/ChatTTS/README.md new file mode 100644 index 0000000000000000000000000000000000000000..934c0a859c79fbecb394d2315ceb0eba783262ac --- /dev/null +++ b/ChatTTS/README.md @@ -0,0 +1,132 @@ +# ChatTTS +[**English**](./README.md) | [**中文简体**](./README_CN.md) + +ChatTTS is a text-to-speech model designed specifically for dialogue scenario such as LLM assistant. It supports both English and Chinese languages. Our model is trained with 100,000+ hours composed of chinese and english. The open-source version on **[HuggingFace](https://huggingface.co/2Noise/ChatTTS)** is a 40,000 hours pre trained model without SFT. + +For formal inquiries about model and roadmap, please contact us at **open-source@2noise.com**. You could join our QQ group: ~~808364215 (Full)~~ 230696694 (Group 2) for discussion. Adding github issues is always welcomed. + +--- +## Highlights +1. **Conversational TTS**: ChatTTS is optimized for dialogue-based tasks, enabling natural and expressive speech synthesis. It supports multiple speakers, facilitating interactive conversations. +2. **Fine-grained Control**: The model could predict and control fine-grained prosodic features, including laughter, pauses, and interjections. +3. **Better Prosody**: ChatTTS surpasses most of open-source TTS models in terms of prosody. We provide pretrained models to support further research and development. + +For the detailed description of the model, you can refer to **[video on Bilibili](https://www.bilibili.com/video/BV1zn4y1o7iV)** + +--- + +## Disclaimer + +This repo is for academic purposes only. It is intended for educational and research use, and should not be used for any commercial or legal purposes. The authors do not guarantee the accuracy, completeness, or reliability of the information. The information and data used in this repo, are for academic and research purposes only. The data obtained from publicly available sources, and the authors do not claim any ownership or copyright over the data. + +ChatTTS is a powerful text-to-speech system. However, it is very important to utilize this technology responsibly and ethically. To limit the use of ChatTTS, we added a small amount of high-frequency noise during the training of the 40,000-hour model, and compressed the audio quality as much as possible using MP3 format, to prevent malicious actors from potentially using it for criminal purposes. At the same time, we have internally trained a detection model and plan to open-source it in the future. + + +--- +## Usage + +

Basic usage

+ +```python +import ChatTTS +from IPython.display import Audio + +chat = ChatTTS.Chat() +chat.load_models(compile=False) # Set to True for better performance + +texts = ["PUT YOUR TEXT HERE",] + +wavs = chat.infer(texts, ) + +torchaudio.save("output1.wav", torch.from_numpy(wavs[0]), 24000) +``` + +

Advanced usage

+ +```python +################################### +# Sample a speaker from Gaussian. + +rand_spk = chat.sample_random_speaker() + +params_infer_code = { + 'spk_emb': rand_spk, # add sampled speaker + 'temperature': .3, # using custom temperature + 'top_P': 0.7, # top P decode + 'top_K': 20, # top K decode +} + +################################### +# For sentence level manual control. + +# use oral_(0-9), laugh_(0-2), break_(0-7) +# to generate special token in text to synthesize. +params_refine_text = { + 'prompt': '[oral_2][laugh_0][break_6]' +} + +wav = chat.infer(texts, params_refine_text=params_refine_text, params_infer_code=params_infer_code) + +################################### +# For word level manual control. +text = 'What is [uv_break]your favorite english food?[laugh][lbreak]' +wav = chat.infer(text, skip_refine_text=True, params_refine_text=params_refine_text, params_infer_code=params_infer_code) +torchaudio.save("output2.wav", torch.from_numpy(wavs[0]), 24000) +``` + +
+

Example: self introduction

 + +```python +inputs_en = """ +chat T T S is a text to speech model designed for dialogue applications. +[uv_break]it supports mixed language input [uv_break]and offers multi speaker +capabilities with precise control over prosodic elements [laugh]like like +[uv_break]laughter[laugh], [uv_break]pauses, [uv_break]and intonation. +[uv_break]it delivers natural and expressive speech,[uv_break]so please +[uv_break] use the project responsibly at your own risk.[uv_break] +""".replace('\n', '') # English is still experimental. + +params_refine_text = { + 'prompt': '[oral_2][laugh_0][break_4]' +} +# audio_array_cn = chat.infer(inputs_cn, params_refine_text=params_refine_text) +audio_array_en = chat.infer(inputs_en, params_refine_text=params_refine_text) +torchaudio.save("output3.wav", torch.from_numpy(audio_array_en[0]), 24000) +``` +[male speaker](https://github.com/2noise/ChatTTS/assets/130631963/e0f51251-db7f-4d39-a0e9-3e095bb65de1) + +[female speaker](https://github.com/2noise/ChatTTS/assets/130631963/f5dcdd01-1091-47c5-8241-c4f6aaaa8bbd) +
+ +--- +## Roadmap +- [x] Open-source the 40k hour base model and spk_stats file +- [ ] Open-source VQ encoder and Lora training code +- [ ] Streaming audio generation without refining the text* +- [ ] Open-source the 40k hour version with multi-emotion control +- [ ] ChatTTS.cpp maybe? (PR or new repo are welcomed.) + +---- +## FAQ + +##### How much VRAM do I need? How about infer speed? +For a 30-second audio clip, at least 4GB of GPU memory is required. For the 4090 GPU, it can generate audio corresponding to approximately 7 semantic tokens per second. The Real-Time Factor (RTF) is around 0.3. + +##### model stability is not good enough, with issues such as multi speakers or poor audio quality. + +This is a problem that typically occurs with autoregressive models(for bark and valle). It's generally difficult to avoid. One can try multiple samples to find a suitable result. + +##### Besides laughter, can we control anything else? Can we control other emotions? + +In the current released model, the only token-level control units are [laugh], [uv_break], and [lbreak]. In future versions, we may open-source models with additional emotional control capabilities. + +--- +## Acknowledgements +- [bark](https://github.com/suno-ai/bark), [XTTSv2](https://github.com/coqui-ai/TTS) and [valle](https://arxiv.org/abs/2301.02111) demostrate a remarkable TTS result by a autoregressive-style system. +- [fish-speech](https://github.com/fishaudio/fish-speech) reveals capability of GVQ as audio tokenizer for LLM modeling. +- [vocos](https://github.com/gemelo-ai/vocos) which is used as a pretrained vocoder. + +--- +## Special Appreciation +- [wlu-audio lab](https://audio.westlake.edu.cn/) for early algorithm experiments. diff --git a/ChatTTS/README_CN.md b/ChatTTS/README_CN.md new file mode 100644 index 0000000000000000000000000000000000000000..fa33a883b49da608cdcaf727a7ca59a61510149c --- /dev/null +++ b/ChatTTS/README_CN.md @@ -0,0 +1,136 @@ +# ChatTTS +[**English**](./README.md) | [**中文简体**](./README_CN.md) + +ChatTTS是专门为对话场景设计的文本转语音模型，例如LLM助手对话任务。它支持英文和中文两种语言。最大的模型使用了10万小时以上的中英文数据进行训练。在HuggingFace中开源的版本为4万小时训练且未SFT的版本. + +如需就模型进行正式商业咨询，请发送邮件至 **open-source@2noise.com**。对于中文用户，您可以加入我们的QQ群：~~808364215 (已满)~~ 230696694 (二群) 进行讨论。同时欢迎在GitHub上提出问题。如果遇到无法使用 **[HuggingFace](https://huggingface.co/2Noise/ChatTTS)** 的情况,可以在 [modelscope](https://www.modelscope.cn/models/pzc163/chatTTS) 上进行下载. + +--- +## 亮点 +1. **对话式 TTS**: ChatTTS针对对话式任务进行了优化，实现了自然流畅的语音合成，同时支持多说话人。 +2. **细粒度控制**: 该模型能够预测和控制细粒度的韵律特征，包括笑声、停顿和插入词等。 +3. **更好的韵律**: ChatTTS在韵律方面超越了大部分开源TTS模型。同时提供预训练模型，支持进一步的研究。 + +对于模型的具体介绍, 可以参考B站的 **[宣传视频](https://www.bilibili.com/video/BV1zn4y1o7iV)** + +--- + +## 免责声明 +本文件中的信息仅供学术交流使用。其目的是用于教育和研究，不得用于任何商业或法律目的。作者不保证信息的准确性、完整性或可靠性。本文件中使用的信息和数据，仅用于学术研究目的。这些数据来自公开可用的来源，作者不对数据的所有权或版权提出任何主张。 + +ChatTTS是一个强大的文本转语音系统。然而，负责任地和符合伦理地利用这项技术是非常重要的。为了限制ChatTTS的使用，我们在4w小时模型的训练过程中添加了少量额外的高频噪音，并用mp3格式尽可能压低了音质，以防不法分子用于潜在的犯罪可能。同时我们在内部训练了检测模型，并计划在未来开放。 + +--- +## 用法 + +

基本用法

+ +```python +import ChatTTS +from IPython.display import Audio + +chat = ChatTTS.Chat() +chat.load_models(compile=False) # 设置为True以获得更快速度 + +texts = ["在这里输入你的文本",] + +wavs = chat.infer(texts, use_decoder=True) + +torchaudio.save("output1.wav", torch.from_numpy(wavs[0]), 24000) +``` + +

进阶用法

+ +```python +################################### +# Sample a speaker from Gaussian. + +rand_spk = chat.sample_random_speaker() + +params_infer_code = { + 'spk_emb': rand_spk, # add sampled speaker + 'temperature': .3, # using custom temperature + 'top_P': 0.7, # top P decode + 'top_K': 20, # top K decode +} + +################################### +# For sentence level manual control. + +# use oral_(0-9), laugh_(0-2), break_(0-7) +# to generate special token in text to synthesize. +params_refine_text = { + 'prompt': '[oral_2][laugh_0][break_6]' +} + +wav = chat.infer(texts, params_refine_text=params_refine_text, params_infer_code=params_infer_code) + +################################### +# For word level manual control. +# use_decoder=False to infer faster with a bit worse quality +text = 'What is [uv_break]your favorite english food?[laugh][lbreak]' +wav = chat.infer(text, skip_refine_text=True, params_infer_code=params_infer_code, use_decoder=False) + +torchaudio.save("output2.wav", torch.from_numpy(wavs[0]), 24000) +``` + +
+

自我介绍样例

 + +```python +inputs_cn = """ +chat T T S 是一款强大的对话式文本转语音模型。它有中英混读和多说话人的能力。 +chat T T S 不仅能够生成自然流畅的语音，还能控制[laugh]笑声啊[laugh]， +停顿啊[uv_break]语气词啊等副语言现象[uv_break]。这个韵律超越了许多开源模型[uv_break]。 +请注意，chat T T S 的使用应遵守法律和伦理准则，避免滥用的安全风险。[uv_break]' +""".replace('\n', '') + +params_refine_text = { + 'prompt': '[oral_2][laugh_0][break_4]' +} +audio_array_cn = chat.infer(inputs_cn, params_refine_text=params_refine_text) +# audio_array_en = chat.infer(inputs_en, params_refine_text=params_refine_text) + +torchaudio.save("output3.wav", torch.from_numpy(audio_array_cn[0]), 24000) +``` +[男说话人](https://github.com/2noise/ChatTTS/assets/130631963/bbfa3b83-2b67-4bb6-9315-64c992b63788) + +[女说话人](https://github.com/2noise/ChatTTS/assets/130631963/e061f230-0e05-45e6-8e4e-0189f2d260c4) +
+ + +--- +## 计划路线 +- [x] 开源4w小时基础模型和spk_stats文件 +- [ ] 开源VQ encoder和Lora 训练代码 +- [ ] 在非refine text情况下, 流式生成音频* +- [ ] 开源多情感可控的4w小时版本 +- [ ] ChatTTS.cpp maybe? (欢迎社区PR或独立的新repo) + +--- +## 常见问题 + +##### 连不上HuggingFace +请使用[modelscope](https://www.modelscope.cn/models/pzc163/chatTTS)的版本. 并设置cache的位置: +```python +chat.load_models(source='local', local_path='你的下载位置') +``` + +##### 我要多少显存? Infer的速度是怎么样的? +对于30s的音频, 至少需要4G的显存. 对于4090, 1s生成约7个字所对应的音频. RTF约0.3. + +##### 模型稳定性似乎不够好, 会出现其他说话人或音质很差的现象. +这是自回归模型通常都会出现的问题. 说话人可能会在中间变化, 可能会采样到音质非常差的结果, 这通常难以避免. 可以多采样几次来找到合适的结果. + +##### 除了笑声还能控制什么吗? 还能控制其他情感吗? +在现在放出的模型版本中, 只有[laugh]和[uv_break], [lbreak]作为字级别的控制单元. 在未来的版本中我们可能会开源其他情感控制的版本. + +--- +## 致谢 +- [bark](https://github.com/suno-ai/bark),[XTTSv2](https://github.com/coqui-ai/TTS)和[valle](https://arxiv.org/abs/2301.02111)展示了自回归任务用于TTS任务的可能性. +- [fish-speech](https://github.com/fishaudio/fish-speech)一个优秀的自回归TTS模型, 揭示了GVQ用于LLM任务的可能性. +- [vocos](https://github.com/gemelo-ai/vocos)作为模型中的vocoder. + +--- +## 特别致谢 +- [wlu-audio lab](https://audio.westlake.edu.cn/)为我们提供了早期算法试验的支持. diff --git a/ChatTTS/example.ipynb b/ChatTTS/example.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..b229e702a2cbab53cf03fe2712bc27a4ebad25e3 --- /dev/null +++ b/ChatTTS/example.ipynb @@ -0,0 +1,407 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import torch\n", + "torch._dynamo.config.cache_size_limit = 64\n", + "torch._dynamo.config.suppress_errors = True\n", + "torch.set_float32_matmul_precision('high')\n", + "\n", + "import ChatTTS\n", + "from IPython.display import Audio" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load Models" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "chat = ChatTTS.Chat()\n", + "chat.load_models()\n", + "\n", + "# Use force_redownload=True if the weights updated.\n", + "# chat.load_models(force_redownload=True)\n", + "\n", + "# If you download the weights manually, set source='locals'.\n", + "# chat.load_models(source='local', local_path='YOUR LOCAL PATH')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Inference" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Batch infer" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:ChatTTS.core:All initialized.\n", + " 28%|██▊ | 106/384 [00:00<00:01, 140.38it/s]\n", + " 47%|████▋ | 960/2048 [00:07<00:08, 133.25it/s]\n" + ] + } + ], + "source": [ + "texts = [\"So we found being competitive and collaborative was a huge way of staying motivated towards our goals, so one person to call when you fall off, one person who gets you back on then one person to actually do the activity with.\",]*3 \\\n", + " + [\"我觉得像我们这些写程序的人，他，我觉得多多少少可能会对开源有一种情怀在吧我觉得开源是一个很好的形式。现在其实最先进的技术掌握在一些公司的手里的话，就他们并不会轻易的开放给所有的人用。\"]*3 \n", + " \n", + "wavs = chat.infer(texts)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Audio(wavs[0], rate=24_000, autoplay=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Audio(wavs[3], rate=24_000, autoplay=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Custom params" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:ChatTTS.core:All initialized.\n", + " 14%|█▍ | 53/384 [00:00<00:02, 146.65it/s]\n", + " 22%|██▏ | 452/2048 [00:03<00:11, 140.51it/s]\n" + ] + } + ], + "source": [ + "params_infer_code = {'prompt':'[speed_5]', 'temperature':.3}\n", + "params_refine_text = {'prompt':'[oral_2][laugh_0][break_6]'}\n", + "\n", + "wav = chat.infer('四川美食可多了，有麻辣火锅、宫保鸡丁、麻婆豆腐、担担面、回锅肉、夫妻肺片等，每样都让人垂涎三尺。', \\\n", + " params_refine_text=params_refine_text, params_infer_code=params_infer_code)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Audio(wav[0], rate=24_000, autoplay=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### fix random speaker" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "rand_spk = chat.sample_random_speaker()\n", + "params_infer_code = {'spk_emb' : rand_spk, }\n", + "\n", + "wav = chat.infer('四川美食确实以辣闻名，但也有不辣的选择。比如甜水面、赖汤圆、蛋烘糕、叶儿粑等，这些小吃口味温和，甜而不腻，也很受欢迎。', \\\n", + " params_refine_text=params_refine_text, params_infer_code=params_infer_code)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Audio(wav[0], rate=24_000, autoplay=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Two stage control" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:ChatTTS.core:All initialized.\n", + " 23%|██▎ | 87/384 [00:00<00:01, 150.60it/s]\n" + ] + }, + { + "data": { + "text/plain": [ + "['so we found being competitive and collaborative [uv_break] was a huge way of staying [uv_break] motivated towards our goals, [uv_break] so [uv_break] one person to call [uv_break] when you fall off, [uv_break] one person who [uv_break] gets you back [uv_break] on then [uv_break] one person [uv_break] to actually do the activity with.']" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "text = \"So we found being competitive and collaborative was a huge way of staying motivated towards our goals, so one person to call when you fall off, one person who gets you back on then one person to actually do the activity with.\"\n", + "chat.infer(text, refine_text_only=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:ChatTTS.core:All initialized.\n", + " 49%|████▊ | 995/2048 [00:07<00:07, 141.85it/s]\n" + ] + } + ], + "source": [ + "text = 'so we found being competitive and collaborative [uv_break] was a huge way of staying [uv_break] motivated towards our goals, [uv_break] so [uv_break] one person to call [uv_break] when you fall off, [uv_break] one person who [uv_break] gets you back [uv_break] on then [uv_break] one person [uv_break] to actually do the activity with.'\n", + "wav = chat.infer(text, skip_refine_text=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## LLM Call" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "from ChatTTS.experimental.llm import llm_api\n", + "\n", + "API_KEY = ''\n", + "client = llm_api(api_key=API_KEY,\n", + " base_url=\"https://api.deepseek.com\",\n", + " model=\"deepseek-chat\")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:httpx:HTTP Request: POST https://api.deepseek.com/chat/completions \"HTTP/1.1 200 OK\"\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "四川美食可多了, 有麻辣火锅、宫保鸡丁、麻婆豆腐、担担面、回锅肉、夫妻肺片、串串香、龙抄手、宜宾燃面、乐山钵钵鸡等, 每样都让人垂涎三尺。\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:httpx:HTTP Request: POST https://api.deepseek.com/chat/completions \"HTTP/1.1 200 OK\"\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "四川美食可多了，有麻辣火锅、宫保鸡丁、麻婆豆腐、担担面、回锅肉、夫妻肺片、串串香、龙抄手、宜宾燃面、乐山钵钵鸡等，每样都让人垂涎三尺。\n" + ] + } + ], + "source": [ + "user_question = '四川有哪些好吃的美食呢?'\n", + "text = client.call(user_question, prompt_version = 'deepseek')\n", + "print(text)\n", + "text = client.call(text, prompt_version = 'deepseek_TN')\n", + "print(text)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:ChatTTS.core:All initialized.\n", + " 20%|█▉ | 75/384 [00:00<00:02, 144.93it/s]\n", + " 32%|███▏ | 647/2048 [00:04<00:09, 140.27it/s]\n" + ] + } + ], + "source": [ + "params_infer_code = {'spk_emb' : rand_spk, 'temperature':.3}\n", + "\n", + "wav = chat.infer(text, params_infer_code=params_infer_code)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.8" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/ChatTTS/requirements.txt b/ChatTTS/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..b52a108698e30533f9ed0ed41dc4fc09762bb4b0 --- /dev/null +++ b/ChatTTS/requirements.txt @@ -0,0 +1,8 @@ +omegaconf~=2.3.0 +torch~=2.1.0 +tqdm +einops +vector_quantize_pytorch +transformers~=4.41.1 +vocos +IPython \ No newline at end of file diff --git a/ChatTTS/webui.py b/ChatTTS/webui.py new file mode 100644 index 0000000000000000000000000000000000000000..95fc9d25daea1c016cdb776e60df9ffc00abf3b3 --- /dev/null +++ b/ChatTTS/webui.py @@ -0,0 +1,113 @@ +import os +import random +import argparse + +import torch +import gradio as gr +import numpy as np + +import ChatTTS + + +def generate_seed(): + new_seed = random.randint(1, 100000000) + return { + "__type__": "update", + "value": new_seed + } + + +def generate_audio(text, temperature, top_P, top_K, audio_seed_input, text_seed_input, refine_text_flag): + + torch.manual_seed(audio_seed_input) + rand_spk = chat.sample_random_speaker() + params_infer_code = { + 'spk_emb': rand_spk, + 'temperature': temperature, + 'top_P': top_P, + 'top_K': top_K, + } + params_refine_text = {'prompt': '[oral_2][laugh_0][break_6]'} + + torch.manual_seed(text_seed_input) + + if refine_text_flag: + text = chat.infer(text, + skip_refine_text=False, + refine_text_only=True, + params_refine_text=params_refine_text, + params_infer_code=params_infer_code + ) + + wav = chat.infer(text, + skip_refine_text=True, + params_refine_text=params_refine_text, + params_infer_code=params_infer_code + ) + + audio_data = np.array(wav[0]).flatten() + sample_rate = 24000 + text_data = text[0] if isinstance(text, list) else text + + return [(sample_rate, audio_data), text_data] + + +def main(): + + with gr.Blocks() as demo: + gr.Markdown("# ChatTTS Webui") + gr.Markdown("ChatTTS Model: [2noise/ChatTTS](https://github.com/2noise/ChatTTS)") + + default_text = "四川美食确实以辣闻名，但也有不辣的选择。比如甜水面、赖汤圆、蛋烘糕、叶儿粑等，这些小吃口味温和，甜而不腻，也很受欢迎。" + text_input = gr.Textbox(label="Input Text", lines=4, placeholder="Please Input Text...", value=default_text) + + with gr.Row(): + refine_text_checkbox = gr.Checkbox(label="Refine text", value=True) + temperature_slider = gr.Slider(minimum=0.00001, maximum=1.0, step=0.00001, value=0.3, label="Audio temperature") + top_p_slider = gr.Slider(minimum=0.1, maximum=0.9, step=0.05, value=0.7, label="top_P") + top_k_slider = gr.Slider(minimum=1, maximum=20, step=1, value=20, label="top_K") + + with gr.Row(): + audio_seed_input = gr.Number(value=2, label="Audio Seed") + generate_audio_seed = gr.Button("\U0001F3B2") + text_seed_input = gr.Number(value=42, label="Text Seed") + generate_text_seed = gr.Button("\U0001F3B2") + + generate_button = gr.Button("Generate") + + text_output = gr.Textbox(label="Output Text", interactive=False) + audio_output = gr.Audio(label="Output Audio") + + generate_audio_seed.click(generate_seed, + inputs=[], + outputs=audio_seed_input) + + generate_text_seed.click(generate_seed, + inputs=[], + outputs=text_seed_input) + + generate_button.click(generate_audio, + inputs=[text_input, temperature_slider, top_p_slider, top_k_slider, audio_seed_input, text_seed_input, refine_text_checkbox], + outputs=[audio_output, text_output]) + + parser = argparse.ArgumentParser(description='ChatTTS demo Launch') + parser.add_argument('--server_name', type=str, default='0.0.0.0', help='Server name') + parser.add_argument('--server_port', type=int, default=8080, help='Server port') + parser.add_argument('--local_path', type=str, default=None, help='the local_path if need') + args = parser.parse_args() + + print("loading ChatTTS model...") + global chat + chat = ChatTTS.Chat() + + if args.local_path == None: + chat.load_models() + else: + print('local model path:', args.local_path) + chat.load_models('local', local_path=args.local_path) + + demo.launch(server_name=args.server_name, server_port=args.server_port, inbrowser=True) + + +if __name__ == '__main__': + main() \ No newline at end of file diff --git a/CosyVoice/.github/ISSUE_TEMPLATE/bug_report.md b/CosyVoice/.github/ISSUE_TEMPLATE/bug_report.md new file mode 100644 index 0000000000000000000000000000000000000000..dd84ea7824f11be1eeda22377549cbc1aec7f980 --- /dev/null +++ b/CosyVoice/.github/ISSUE_TEMPLATE/bug_report.md @@ -0,0 +1,38 @@ +--- +name: Bug report +about: Create a report to help us improve +title: '' +labels: '' +assignees: '' + +--- + +**Describe the bug** +A clear and concise description of what the bug is. + +**To Reproduce** +Steps to reproduce the behavior: +1. Go to '...' +2. Click on '....' +3. Scroll down to '....' +4. See error + +**Expected behavior** +A clear and concise description of what you expected to happen. + +**Screenshots** +If applicable, add screenshots to help explain your problem. + +**Desktop (please complete the following information):** + - OS: [e.g. iOS] + - Browser [e.g. chrome, safari] + - Version [e.g. 22] + +**Smartphone (please complete the following information):** + - Device: [e.g. iPhone6] + - OS: [e.g. iOS8.1] + - Browser [e.g. stock browser, safari] + - Version [e.g. 22] + +**Additional context** +Add any other context about the problem here. diff --git a/CosyVoice/.github/ISSUE_TEMPLATE/feature_request.md b/CosyVoice/.github/ISSUE_TEMPLATE/feature_request.md new file mode 100644 index 0000000000000000000000000000000000000000..bbcbbe7d61558adde3cbfd0c7a63a67c27ed6d30 --- /dev/null +++ b/CosyVoice/.github/ISSUE_TEMPLATE/feature_request.md @@ -0,0 +1,20 @@ +--- +name: Feature request +about: Suggest an idea for this project +title: '' +labels: '' +assignees: '' + +--- + +**Is your feature request related to a problem? Please describe.** +A clear and concise description of what the problem is. Ex. I'm always frustrated when [...] + +**Describe the solution you'd like** +A clear and concise description of what you want to happen. + +**Describe alternatives you've considered** +A clear and concise description of any alternative solutions or features you've considered. + +**Additional context** +Add any other context or screenshots about the feature request here. diff --git a/CosyVoice/.gitignore b/CosyVoice/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..139a40fcc6684a16b0f8e50cf5de488872e99a97 --- /dev/null +++ b/CosyVoice/.gitignore @@ -0,0 +1,49 @@ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# Visual Studio Code files +.vscode +.vs + +# PyCharm files +.idea + +# Eclipse Project settings +*.*project +.settings + +# Sublime Text settings +*.sublime-workspace +*.sublime-project + +# Editor temporaries +*.swn +*.swo +*.swp +*.swm +*~ + +# IPython notebook checkpoints +.ipynb_checkpoints + +# macOS dir files +.DS_Store + +exp +data +raw_wav +tensorboard +**/*build* + +# Clangd files +.cache +compile_commands.json + +# train/inference files +*.wav +*.pt +pretrained_models/* +*_pb2_grpc.py +*_pb2.py \ No newline at end of file diff --git a/CosyVoice/.gitmodules b/CosyVoice/.gitmodules new file mode 100644 index 0000000000000000000000000000000000000000..3d1b157d53a4d636737eefb44d513fa9ec0515d5 --- /dev/null +++ b/CosyVoice/.gitmodules @@ -0,0 +1,3 @@ +[submodule "third_party/Matcha-TTS"] + path = third_party/Matcha-TTS + url = https://github.com/shivammehta25/Matcha-TTS.git diff --git a/CosyVoice/CODE_OF_CONDUCT.md b/CosyVoice/CODE_OF_CONDUCT.md new file mode 100644 index 0000000000000000000000000000000000000000..66c2a4cafb77b81f9d8f7e65a485b841a6a347a9 --- /dev/null +++ b/CosyVoice/CODE_OF_CONDUCT.md @@ -0,0 +1,76 @@ +# Contributor Covenant Code of Conduct + +## Our Pledge + +In the interest of fostering an open and welcoming environment, we as +contributors and maintainers pledge to making participation in our project and +our community a harassment-free experience for everyone, regardless of age, body +size, disability, ethnicity, sex characteristics, gender identity and expression, +level of experience, education, socio-economic status, nationality, personal +appearance, race, religion, or sexual identity and orientation. + +## Our Standards + +Examples of behavior that contributes to creating a positive environment +include: + +* Using welcoming and inclusive language +* Being respectful of differing viewpoints and experiences +* Gracefully accepting constructive criticism +* Focusing on what is best for the community +* Showing empathy towards other community members + +Examples of unacceptable behavior by participants include: + +* The use of sexualized language or imagery and unwelcome sexual attention or + advances +* Trolling, insulting/derogatory comments, and personal or political attacks +* Public or private harassment +* Publishing others' private information, such as a physical or electronic + address, without explicit permission +* Other conduct which could reasonably be considered inappropriate in a + professional setting + +## Our Responsibilities + +Project maintainers are responsible for clarifying the standards of acceptable +behavior and are expected to take appropriate and fair corrective action in +response to any instances of unacceptable behavior. + +Project maintainers have the right and responsibility to remove, edit, or +reject comments, commits, code, wiki edits, issues, and other contributions +that are not aligned to this Code of Conduct, or to ban temporarily or +permanently any contributor for other behaviors that they deem inappropriate, +threatening, offensive, or harmful. + +## Scope + +This Code of Conduct applies both within project spaces and in public spaces +when an individual is representing the project or its community. Examples of +representing a project or community include using an official project e-mail +address, posting via an official social media account, or acting as an appointed +representative at an online or offline event. Representation of a project may be +further defined and clarified by project maintainers. + +## Enforcement + +Instances of abusive, harassing, or otherwise unacceptable behavior may be +reported by contacting the project team at mikelei@mobvoi.com. All +complaints will be reviewed and investigated and will result in a response that +is deemed necessary and appropriate to the circumstances. The project team is +obligated to maintain confidentiality with regard to the reporter of an incident. +Further details of specific enforcement policies may be posted separately. + +Project maintainers who do not follow or enforce the Code of Conduct in good +faith may face temporary or permanent repercussions as determined by other +members of the project's leadership. + +## Attribution + +This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4, +available at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html + +[homepage]: https://www.contributor-covenant.org + +For answers to common questions about this code of conduct, see +https://www.contributor-covenant.org/faq diff --git a/CosyVoice/FAQ.md b/CosyVoice/FAQ.md new file mode 100644 index 0000000000000000000000000000000000000000..53df058b3e66f6070cfd49704c8e91759ddd5047 --- /dev/null +++ b/CosyVoice/FAQ.md @@ -0,0 +1,16 @@ +## ModuleNotFoundError: No module named 'matcha' + +Matcha-TTS is a third_party module. Please check `third_party` directory. If there is no `Matcha-TTS`, execute `git submodule update --init --recursive`. + +run `export PYTHONPATH=third_party/Matcha-TTS` if you want to use `from cosyvoice.cli.cosyvoice import CosyVoice` in python script. + +## cannot find resource.zip or cannot unzip resource.zip + +Please make sure you have git-lfs installed. Execute + +```sh +git clone https://www.modelscope.cn/iic/CosyVoice-ttsfrd.git pretrained_models/CosyVoice-ttsfrd +cd pretrained_models/CosyVoice-ttsfrd/ +unzip resource.zip -d . +pip install ttsfrd-0.3.6-cp38-cp38-linux_x86_64.whl +``` diff --git a/CosyVoice/LICENSE b/CosyVoice/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..261eeb9e9f8b2b4b0d119366dda99c6fd7d35c64 --- /dev/null +++ b/CosyVoice/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/CosyVoice/README.md b/CosyVoice/README.md new file mode 100644 index 0000000000000000000000000000000000000000..d5a9934b4a84e9f8525290752fccd65bdd1a7635 --- /dev/null +++ b/CosyVoice/README.md @@ -0,0 +1,189 @@ +# CosyVoice +## 👉🏻 [CosyVoice Demos](https://fun-audio-llm.github.io/) 👈🏻 +[[CosyVoice Paper](https://fun-audio-llm.github.io/pdf/CosyVoice_v1.pdf)][[CosyVoice Studio](https://www.modelscope.cn/studios/iic/CosyVoice-300M)][[CosyVoice Code](https://github.com/FunAudioLLM/CosyVoice)] + +For `SenseVoice`, visit [SenseVoice repo](https://github.com/FunAudioLLM/SenseVoice) and [SenseVoice space](https://www.modelscope.cn/studios/iic/SenseVoice). + +## Roadmap + +- [x] 2024/07 + + - [x] Flow matching training support + - [x] WeTextProcessing support when ttsfrd is not avaliable + - [x] Fastapi server and client + +- [ ] 2024/08 + + - [ ] Repetition Aware Sampling(RAS) inference for llm stability + - [ ] Streaming inference mode support, including kv cache and sdpa for rtf optimization + +- [ ] 2024/09 + + - [ ] 50hz llm model which supports 10 language + +- [ ] 2024/10 + + - [ ] 50hz llama based llm model which supports lora finetune + +- [ ] TBD + + - [ ] Support more instruction mode + - [ ] Voice conversion + - [ ] Music generation + - [ ] Training script sample based on Mandarin + - [ ] CosyVoice-500M trained with more multi-lingual data + - [ ] More... + +## Install + +**Clone and install** + +- Clone the repo +``` sh +git clone --recursive https://github.com/FunAudioLLM/CosyVoice.git +# If you failed to clone submodule due to network failures, please run following command until success +cd CosyVoice +git submodule update --init --recursive +``` + +- Install Conda: please see https://docs.conda.io/en/latest/miniconda.html +- Create Conda env: + +``` sh +conda create -n cosyvoice python=3.8 +conda activate cosyvoice +# pynini is required by WeTextProcessing, use conda to install it as it can be executed on all platform. +conda install -y -c conda-forge pynini==2.1.5 +pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host=mirrors.aliyun.com + +# If you encounter sox compatibility issues +# ubuntu +sudo apt-get install sox libsox-dev +# centos +sudo yum install sox sox-devel +``` + +**Model download** + +We strongly recommend that you download our pretrained `CosyVoice-300M` `CosyVoice-300M-SFT` `CosyVoice-300M-Instruct` model and `CosyVoice-ttsfrd` resource. + +If you are expert in this field, and you are only interested in training your own CosyVoice model from scratch, you can skip this step. + +``` python +# SDK模型下载 +from modelscope import snapshot_download +snapshot_download('iic/CosyVoice-300M', local_dir='pretrained_models/CosyVoice-300M') +snapshot_download('iic/CosyVoice-300M-SFT', local_dir='pretrained_models/CosyVoice-300M-SFT') +snapshot_download('iic/CosyVoice-300M-Instruct', local_dir='pretrained_models/CosyVoice-300M-Instruct') +snapshot_download('iic/CosyVoice-ttsfrd', local_dir='pretrained_models/CosyVoice-ttsfrd') +``` + +``` sh +# git模型下载，请确保已安装git lfs +mkdir -p pretrained_models +git clone https://www.modelscope.cn/iic/CosyVoice-300M.git pretrained_models/CosyVoice-300M +git clone https://www.modelscope.cn/iic/CosyVoice-300M-SFT.git pretrained_models/CosyVoice-300M-SFT +git clone https://www.modelscope.cn/iic/CosyVoice-300M-Instruct.git pretrained_models/CosyVoice-300M-Instruct +git clone https://www.modelscope.cn/iic/CosyVoice-ttsfrd.git pretrained_models/CosyVoice-ttsfrd +``` + +Optionaly, you can unzip `ttsfrd` resouce and install `ttsfrd` package for better text normalization performance. + +Notice that this step is not necessary. If you do not install `ttsfrd` package, we will use WeTextProcessing by default. + +``` sh +cd pretrained_models/CosyVoice-ttsfrd/ +unzip resource.zip -d . +pip install ttsfrd-0.3.6-cp38-cp38-linux_x86_64.whl +``` + +**Basic Usage** + +For zero_shot/cross_lingual inference, please use `CosyVoice-300M` model. +For sft inference, please use `CosyVoice-300M-SFT` model. +For instruct inference, please use `CosyVoice-300M-Instruct` model. +First, add `third_party/Matcha-TTS` to your `PYTHONPATH`. + +``` sh +export PYTHONPATH=third_party/Matcha-TTS +``` + +``` python +from cosyvoice.cli.cosyvoice import CosyVoice +from cosyvoice.utils.file_utils import load_wav +import torchaudio + +cosyvoice = CosyVoice('pretrained_models/CosyVoice-300M-SFT') +# sft usage +print(cosyvoice.list_avaliable_spks()) +output = cosyvoice.inference_sft('你好，我是通义生成式语音大模型，请问有什么可以帮您的吗？', '中文女') +torchaudio.save('sft.wav', output['tts_speech'], 22050) + +cosyvoice = CosyVoice('pretrained_models/CosyVoice-300M') +# zero_shot usage, <|zh|><|en|><|jp|><|yue|><|ko|> for Chinese/English/Japanese/Cantonese/Korean +prompt_speech_16k = load_wav('zero_shot_prompt.wav', 16000) +output = cosyvoice.inference_zero_shot('收到好友从远方寄来的生日礼物，那份意外的惊喜与深深的祝福让我心中充满了甜蜜的快乐，笑容如花儿般绽放。', '希望你以后能够做的比我还好呦。', prompt_speech_16k) +torchaudio.save('zero_shot.wav', output['tts_speech'], 22050) +# cross_lingual usage +prompt_speech_16k = load_wav('cross_lingual_prompt.wav', 16000) +output = cosyvoice.inference_cross_lingual('<|en|>And then later on, fully acquiring that company. So keeping management in line, interest in line with the asset that\'s coming into the family is a reason why sometimes we don\'t buy the whole thing.', prompt_speech_16k) +torchaudio.save('cross_lingual.wav', output['tts_speech'], 22050) + +cosyvoice = CosyVoice('pretrained_models/CosyVoice-300M-Instruct') +# instruct usage, support [laughter][breath] +output = cosyvoice.inference_instruct('在面对挑战时，他展现了非凡的勇气与智慧。', '中文男', 'Theo \'Crimson\', is a fiery, passionate rebel leader. Fights with fervor for justice, but struggles with impulsiveness.') +torchaudio.save('instruct.wav', output['tts_speech'], 22050) +``` + +**Start web demo** + +You can use our web demo page to get familiar with CosyVoice quickly. +We support sft/zero_shot/cross_lingual/instruct inference in web demo. + +Please see the demo website for details. + +``` python +# change iic/CosyVoice-300M-SFT for sft inference, or iic/CosyVoice-300M-Instruct for instruct inference +python3 webui.py --port 50000 --model_dir pretrained_models/CosyVoice-300M +``` + +**Advanced Usage** + +For advanced user, we have provided train and inference scripts in `examples/libritts/cosyvoice/run.sh`. +You can get familiar with CosyVoice following this recipie. + +**Build for deployment** + +Optionally, if you want to use grpc for service deployment, +you can run following steps. Otherwise, you can just ignore this step. + +``` sh +cd runtime/python +docker build -t cosyvoice:v1.0 . +# change iic/CosyVoice-300M to iic/CosyVoice-300M-Instruct if you want to use instruct inference +# for grpc usage +docker run -d --runtime=nvidia -p 50000:50000 cosyvoice:v1.0 /bin/bash -c "cd /opt/CosyVoice/CosyVoice/runtime/python/grpc && python3 server.py --port 50000 --max_conc 4 --model_dir iic/CosyVoice-300M && sleep infinity" +python3 grpc/client.py --port 50000 --mode +# for fastapi usage +docker run -d --runtime=nvidia -p 50000:50000 cosyvoice:v1.0 /bin/bash -c "cd /opt/CosyVoice/CosyVoice/runtime/python/fastapi && MODEL_DIR=iic/CosyVoice-300M fastapi dev --port 50000 server.py && sleep infinity" +python3 fastapi/client.py --port 50000 --mode +``` + +## Discussion & Communication + +You can directly discuss on [Github Issues](https://github.com/FunAudioLLM/CosyVoice/issues). + +You can also scan the QR code to join our official Dingding chat group. + + + +## Acknowledge + +1. We borrowed a lot of code from [FunASR](https://github.com/modelscope/FunASR). +2. We borrowed a lot of code from [FunCodec](https://github.com/modelscope/FunCodec). +3. We borrowed a lot of code from [Matcha-TTS](https://github.com/shivammehta25/Matcha-TTS). +4. We borrowed a lot of code from [AcademiCodec](https://github.com/yangdongchao/AcademiCodec). +5. We borrowed a lot of code from [WeNet](https://github.com/wenet-e2e/wenet). + +## Disclaimer +The content provided above is for academic purposes only and is intended to demonstrate technical capabilities. Some examples are sourced from the internet. If any content infringes on your rights, please contact us to request its removal. diff --git a/CosyVoice/asset/dingding.png b/CosyVoice/asset/dingding.png new file mode 100644 index 0000000000000000000000000000000000000000..9a644005c7b38fd64597c1eadfc6c708973e9a94 Binary files /dev/null and b/CosyVoice/asset/dingding.png differ diff --git a/CosyVoice/cosyvoice/__init__.py b/CosyVoice/cosyvoice/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/CosyVoice/cosyvoice/bin/inference.py b/CosyVoice/cosyvoice/bin/inference.py new file mode 100644 index 0000000000000000000000000000000000000000..6b777fa1cba925f9786db60b7efa15dcd189adeb --- /dev/null +++ b/CosyVoice/cosyvoice/bin/inference.py @@ -0,0 +1,114 @@ +# Copyright (c) 2024 Alibaba Inc (authors: Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from __future__ import print_function + +import argparse +import logging +logging.getLogger('matplotlib').setLevel(logging.WARNING) +import os + +import torch +from torch.utils.data import DataLoader +import torchaudio +from hyperpyyaml import load_hyperpyyaml +from tqdm import tqdm +from cosyvoice.cli.model import CosyVoiceModel + +from cosyvoice.dataset.dataset import Dataset + +def get_args(): + parser = argparse.ArgumentParser(description='inference with your model') + parser.add_argument('--config', required=True, help='config file') + parser.add_argument('--prompt_data', required=True, help='prompt data file') + parser.add_argument('--prompt_utt2data', required=True, help='prompt data file') + parser.add_argument('--tts_text', required=True, help='tts input file') + parser.add_argument('--llm_model', required=True, help='llm model file') + parser.add_argument('--flow_model', required=True, help='flow model file') + parser.add_argument('--hifigan_model', required=True, help='hifigan model file') + parser.add_argument('--gpu', + type=int, + default=-1, + help='gpu id for this rank, -1 for cpu') + parser.add_argument('--mode', + default='sft', + choices=['sft', 'zero_shot'], + help='inference mode') + parser.add_argument('--result_dir', required=True, help='asr result file') + args = parser.parse_args() + print(args) + return args + + +def main(): + args = get_args() + logging.basicConfig(level=logging.DEBUG, + format='%(asctime)s %(levelname)s %(message)s') + os.environ['CUDA_VISIBLE_DEVICES'] = str(args.gpu) + + # Init cosyvoice models from configs + use_cuda = args.gpu >= 0 and torch.cuda.is_available() + device = torch.device('cuda' if use_cuda else 'cpu') + with open(args.config, 'r') as f: + configs = load_hyperpyyaml(f) + + model = CosyVoiceModel(configs['llm'], configs['flow'], configs['hift']) + model.load(args.llm_model, args.flow_model, args.hifigan_model) + + test_dataset = Dataset(args.prompt_data, data_pipeline=configs['data_pipeline'], mode='inference', shuffle=False, partition=False, tts_file=args.tts_text, prompt_utt2data=args.prompt_utt2data) + test_data_loader = DataLoader(test_dataset, batch_size=None, num_workers=0) + + del configs + os.makedirs(args.result_dir, exist_ok=True) + fn = os.path.join(args.result_dir, 'wav.scp') + f = open(fn, 'w') + with torch.no_grad(): + for batch_idx, batch in tqdm(enumerate(test_data_loader)): + utts = batch["utts"] + assert len(utts) == 1, "inference mode only support batchsize 1" + text = batch["text"] + text_token = batch["text_token"].to(device) + text_token_len = batch["text_token_len"].to(device) + tts_text = batch["tts_text"] + tts_index = batch["tts_index"] + tts_text_token = batch["tts_text_token"].to(device) + tts_text_token_len = batch["tts_text_token_len"].to(device) + speech_token = batch["speech_token"].to(device) + speech_token_len = batch["speech_token_len"].to(device) + speech_feat = batch["speech_feat"].to(device) + speech_feat_len = batch["speech_feat_len"].to(device) + utt_embedding = batch["utt_embedding"].to(device) + spk_embedding = batch["spk_embedding"].to(device) + if args.mode == 'sft': + model_input = {'text': tts_text_token, 'text_len': tts_text_token_len, + 'llm_embedding': spk_embedding, 'flow_embedding': spk_embedding} + else: + model_input = {'text': tts_text_token, 'text_len': tts_text_token_len, + 'prompt_text': text_token, 'prompt_text_len': text_token_len, + 'llm_prompt_speech_token': speech_token, 'llm_prompt_speech_token_len': speech_token_len, + 'flow_prompt_speech_token': speech_token, 'flow_prompt_speech_token_len': speech_token_len, + 'prompt_speech_feat': speech_feat, 'prompt_speech_feat_len': speech_feat_len, + 'llm_embedding': utt_embedding, 'flow_embedding': utt_embedding} + model_output = model.inference(**model_input) + tts_key = '{}_{}'.format(utts[0], tts_index[0]) + tts_fn = os.path.join(args.result_dir, '{}.wav'.format(tts_key)) + torchaudio.save(tts_fn, model_output['tts_speech'], sample_rate=22050) + f.write('{} {}\n'.format(tts_key, tts_fn)) + f.flush() + f.close() + logging.info('Result wav.scp saved in {}'.format(fn)) + + +if __name__ == '__main__': + main() diff --git a/CosyVoice/cosyvoice/bin/train.py b/CosyVoice/cosyvoice/bin/train.py new file mode 100644 index 0000000000000000000000000000000000000000..a9d0e0581d81a8964683dea4af2fd0f407eab5e8 --- /dev/null +++ b/CosyVoice/cosyvoice/bin/train.py @@ -0,0 +1,136 @@ +# Copyright (c) 2024 Alibaba Inc (authors: Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from __future__ import print_function +import argparse +import datetime +import logging +logging.getLogger('matplotlib').setLevel(logging.WARNING) +from copy import deepcopy +import torch +import torch.distributed as dist +import deepspeed + +from hyperpyyaml import load_hyperpyyaml + +from torch.distributed.elastic.multiprocessing.errors import record + +from cosyvoice.utils.executor import Executor +from cosyvoice.utils.train_utils import ( + init_distributed, + init_dataset_and_dataloader, + init_optimizer_and_scheduler, + init_summarywriter, save_model, + wrap_cuda_model, check_modify_and_save_config) + + +def get_args(): + parser = argparse.ArgumentParser(description='training your network') + parser.add_argument('--train_engine', + default='torch_ddp', + choices=['torch_ddp', 'deepspeed'], + help='Engine for paralleled training') + parser.add_argument('--model', required=True, help='model which will be trained') + parser.add_argument('--config', required=True, help='config file') + parser.add_argument('--train_data', required=True, help='train data file') + parser.add_argument('--cv_data', required=True, help='cv data file') + parser.add_argument('--checkpoint', help='checkpoint model') + parser.add_argument('--model_dir', required=True, help='save model dir') + parser.add_argument('--tensorboard_dir', + default='tensorboard', + help='tensorboard log dir') + parser.add_argument('--ddp.dist_backend', + dest='dist_backend', + default='nccl', + choices=['nccl', 'gloo'], + help='distributed backend') + parser.add_argument('--num_workers', + default=0, + type=int, + help='num of subprocess workers for reading') + parser.add_argument('--prefetch', + default=100, + type=int, + help='prefetch number') + parser.add_argument('--pin_memory', + action='store_true', + default=False, + help='Use pinned memory buffers used for reading') + parser.add_argument('--deepspeed.save_states', + dest='save_states', + default='model_only', + choices=['model_only', 'model+optimizer'], + help='save model/optimizer states') + parser.add_argument('--timeout', + default=30, + type=int, + help='timeout (in seconds) of cosyvoice_join.') + parser = deepspeed.add_config_arguments(parser) + args = parser.parse_args() + return args + + +@record +def main(): + args = get_args() + logging.basicConfig(level=logging.DEBUG, + format='%(asctime)s %(levelname)s %(message)s') + + override_dict = {k: None for k in ['llm', 'flow', 'hift'] if k != args.model} + with open(args.config, 'r') as f: + configs = load_hyperpyyaml(f, overrides=override_dict) + configs['train_conf'].update(vars(args)) + + # Init env for ddp + init_distributed(args) + + # Get dataset & dataloader + train_dataset, cv_dataset, train_data_loader, cv_data_loader = \ + init_dataset_and_dataloader(args, configs) + + # Do some sanity checks and save config to arsg.model_dir + configs = check_modify_and_save_config(args, configs) + + # Tensorboard summary + writer = init_summarywriter(args) + + # load checkpoint + model = configs[args.model] + if args.checkpoint is not None: + model.load_state_dict(torch.load(args.checkpoint, map_location='cpu')) + + # Dispatch model from cpu to gpu + model = wrap_cuda_model(args, model) + + # Get optimizer & scheduler + model, optimizer, scheduler = init_optimizer_and_scheduler(args, configs, model) + + # Save init checkpoints + info_dict = deepcopy(configs['train_conf']) + save_model(model, 'init', info_dict) + + # Get executor + executor = Executor() + + # Start training loop + for epoch in range(info_dict['max_epoch']): + executor.epoch = epoch + train_dataset.set_epoch(epoch) + dist.barrier() + group_join = dist.new_group(backend="gloo", timeout=datetime.timedelta(seconds=args.timeout)) + executor.train_one_epoc(model, optimizer, scheduler, train_data_loader, cv_data_loader, writer, info_dict, group_join) + dist.destroy_process_group(group_join) + +if __name__ == '__main__': + main() diff --git a/CosyVoice/cosyvoice/cli/__init__.py b/CosyVoice/cosyvoice/cli/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/CosyVoice/cosyvoice/cli/cosyvoice.py b/CosyVoice/cosyvoice/cli/cosyvoice.py new file mode 100644 index 0000000000000000000000000000000000000000..ea8c4482891a62df6cbac39faa88972c81f5412f --- /dev/null +++ b/CosyVoice/cosyvoice/cli/cosyvoice.py @@ -0,0 +1,83 @@ +# Copyright (c) 2024 Alibaba Inc (authors: Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import os +import torch +from hyperpyyaml import load_hyperpyyaml +from modelscope import snapshot_download +from cosyvoice.cli.frontend import CosyVoiceFrontEnd +from cosyvoice.cli.model import CosyVoiceModel + +class CosyVoice: + + def __init__(self, model_dir): + instruct = True if '-Instruct' in model_dir else False + self.model_dir = model_dir + if not os.path.exists(model_dir): + model_dir = snapshot_download(model_dir) + with open('{}/cosyvoice.yaml'.format(model_dir), 'r') as f: + configs = load_hyperpyyaml(f) + self.frontend = CosyVoiceFrontEnd(configs['get_tokenizer'], + configs['feat_extractor'], + '{}/campplus.onnx'.format(model_dir), + '{}/speech_tokenizer_v1.onnx'.format(model_dir), + '{}/spk2info.pt'.format(model_dir), + instruct, + configs['allowed_special']) + self.model = CosyVoiceModel(configs['llm'], configs['flow'], configs['hift']) + self.model.load('{}/llm.pt'.format(model_dir), + '{}/flow.pt'.format(model_dir), + '{}/hift.pt'.format(model_dir)) + del configs + + def list_avaliable_spks(self): + spks = list(self.frontend.spk2info.keys()) + return spks + + def inference_sft(self, tts_text, spk_id): + tts_speeches = [] + for i in self.frontend.text_normalize(tts_text, split=True): + model_input = self.frontend.frontend_sft(i, spk_id) + model_output = self.model.inference(**model_input) + tts_speeches.append(model_output['tts_speech']) + return {'tts_speech': torch.concat(tts_speeches, dim=1)} + + def inference_zero_shot(self, tts_text, prompt_text, prompt_speech_16k): + prompt_text = self.frontend.text_normalize(prompt_text, split=False) + tts_speeches = [] + for i in self.frontend.text_normalize(tts_text, split=True): + model_input = self.frontend.frontend_zero_shot(i, prompt_text, prompt_speech_16k) + model_output = self.model.inference(**model_input) + tts_speeches.append(model_output['tts_speech']) + return {'tts_speech': torch.concat(tts_speeches, dim=1)} + + def inference_cross_lingual(self, tts_text, prompt_speech_16k): + if self.frontend.instruct is True: + raise ValueError('{} do not support cross_lingual inference'.format(self.model_dir)) + tts_speeches = [] + for i in self.frontend.text_normalize(tts_text, split=True): + model_input = self.frontend.frontend_cross_lingual(i, prompt_speech_16k) + model_output = self.model.inference(**model_input) + tts_speeches.append(model_output['tts_speech']) + return {'tts_speech': torch.concat(tts_speeches, dim=1)} + + def inference_instruct(self, tts_text, spk_id, instruct_text): + if self.frontend.instruct is False: + raise ValueError('{} do not support instruct inference'.format(self.model_dir)) + instruct_text = self.frontend.text_normalize(instruct_text, split=False) + tts_speeches = [] + for i in self.frontend.text_normalize(tts_text, split=True): + model_input = self.frontend.frontend_instruct(i, spk_id, instruct_text) + model_output = self.model.inference(**model_input) + tts_speeches.append(model_output['tts_speech']) + return {'tts_speech': torch.concat(tts_speeches, dim=1)} diff --git a/CosyVoice/cosyvoice/cli/frontend.py b/CosyVoice/cosyvoice/cli/frontend.py new file mode 100644 index 0000000000000000000000000000000000000000..3ed85500cd3ab65f8f4f7540c084adb0c648186f --- /dev/null +++ b/CosyVoice/cosyvoice/cli/frontend.py @@ -0,0 +1,168 @@ +# Copyright (c) 2024 Alibaba Inc (authors: Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from functools import partial +import onnxruntime +import torch +import numpy as np +import whisper +from typing import Callable +import torchaudio.compliance.kaldi as kaldi +import torchaudio +import os +import re +import inflect +try: + import ttsfrd + use_ttsfrd = True +except ImportError: + print("failed to import ttsfrd, use WeTextProcessing instead") + from tn.chinese.normalizer import Normalizer as ZhNormalizer + from tn.english.normalizer import Normalizer as EnNormalizer + use_ttsfrd = False +from cosyvoice.utils.frontend_utils import contains_chinese, replace_blank, replace_corner_mark, remove_bracket, spell_out_number, split_paragraph + + +class CosyVoiceFrontEnd: + + def __init__(self, + get_tokenizer: Callable, + feat_extractor: Callable, + campplus_model: str, + speech_tokenizer_model: str, + spk2info: str = '', + instruct: bool = False, + allowed_special: str = 'all'): + self.tokenizer = get_tokenizer() + self.feat_extractor = feat_extractor + self.device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') + option = onnxruntime.SessionOptions() + option.graph_optimization_level = onnxruntime.GraphOptimizationLevel.ORT_ENABLE_ALL + option.intra_op_num_threads = 1 + self.campplus_session = onnxruntime.InferenceSession(campplus_model, sess_options=option, providers=["CPUExecutionProvider"]) + self.speech_tokenizer_session = onnxruntime.InferenceSession(speech_tokenizer_model, sess_options=option, providers=["CUDAExecutionProvider"if torch.cuda.is_available() else "CPUExecutionProvider"]) + if os.path.exists(spk2info): + self.spk2info = torch.load(spk2info, map_location=self.device) + self.instruct = instruct + self.allowed_special = allowed_special + self.inflect_parser = inflect.engine() + self.use_ttsfrd = use_ttsfrd + if self.use_ttsfrd: + self.frd = ttsfrd.TtsFrontendEngine() + ROOT_DIR = os.path.dirname(os.path.abspath(__file__)) + assert self.frd.initialize('{}/../../pretrained_models/CosyVoice-ttsfrd/resource'.format(ROOT_DIR)) is True, 'failed to initialize ttsfrd resource' + self.frd.set_lang_type('pinyin') + self.frd.enable_pinyin_mix(True) + self.frd.set_breakmodel_index(1) + else: + self.zh_tn_model = ZhNormalizer(remove_erhua=False, full_to_half=False) + self.en_tn_model = EnNormalizer() + + def _extract_text_token(self, text): + text_token = self.tokenizer.encode(text, allowed_special=self.allowed_special) + text_token = torch.tensor([text_token], dtype=torch.int32).to(self.device) + text_token_len = torch.tensor([text_token.shape[1]], dtype=torch.int32).to(self.device) + return text_token, text_token_len + + def _extract_speech_token(self, speech): + feat = whisper.log_mel_spectrogram(speech, n_mels=128) + speech_token = self.speech_tokenizer_session.run(None, {self.speech_tokenizer_session.get_inputs()[0].name: feat.detach().cpu().numpy(), + self.speech_tokenizer_session.get_inputs()[1].name: np.array([feat.shape[2]], dtype=np.int32)})[0].flatten().tolist() + speech_token = torch.tensor([speech_token], dtype=torch.int32).to(self.device) + speech_token_len = torch.tensor([speech_token.shape[1]], dtype=torch.int32).to(self.device) + return speech_token, speech_token_len + + def _extract_spk_embedding(self, speech): + feat = kaldi.fbank(speech, + num_mel_bins=80, + dither=0, + sample_frequency=16000) + feat = feat - feat.mean(dim=0, keepdim=True) + embedding = self.campplus_session.run(None, {self.campplus_session.get_inputs()[0].name: feat.unsqueeze(dim=0).cpu().numpy()})[0].flatten().tolist() + embedding = torch.tensor([embedding]).to(self.device) + return embedding + + def _extract_speech_feat(self, speech): + speech_feat = self.feat_extractor(speech).squeeze(dim=0).transpose(0, 1).to(self.device) + speech_feat = speech_feat.unsqueeze(dim=0) + speech_feat_len = torch.tensor([speech_feat.shape[1]], dtype=torch.int32).to(self.device) + return speech_feat, speech_feat_len + + def text_normalize(self, text, split=True): + text = text.strip() + if contains_chinese(text): + if self.use_ttsfrd: + text = self.frd.get_frd_extra_info(text, 'input') + else: + text = self.zh_tn_model.normalize(text) + text = text.replace("\n", "") + text = replace_blank(text) + text = replace_corner_mark(text) + text = text.replace(".", "、") + text = text.replace(" - ", "，") + text = remove_bracket(text) + text = re.sub(r'[，,]+$', '。', text) + texts = [i for i in split_paragraph(text, partial(self.tokenizer.encode, allowed_special=self.allowed_special), "zh", token_max_n=80, + token_min_n=60, merge_len=20, + comma_split=False)] + else: + if self.use_ttsfrd: + text = self.frd.get_frd_extra_info(text, 'input') + else: + text = self.en_tn_model.normalize(text) + text = spell_out_number(text, self.inflect_parser) + texts = [i for i in split_paragraph(text, partial(self.tokenizer.encode, allowed_special=self.allowed_special), "en", token_max_n=80, + token_min_n=60, merge_len=20, + comma_split=False)] + if split is False: + return text + return texts + + def frontend_sft(self, tts_text, spk_id): + tts_text_token, tts_text_token_len = self._extract_text_token(tts_text) + embedding = self.spk2info[spk_id]['embedding'] + model_input = {'text': tts_text_token, 'text_len': tts_text_token_len, 'llm_embedding': embedding, 'flow_embedding': embedding} + return model_input + + def frontend_zero_shot(self, tts_text, prompt_text, prompt_speech_16k): + tts_text_token, tts_text_token_len = self._extract_text_token(tts_text) + prompt_text_token, prompt_text_token_len = self._extract_text_token(prompt_text) + prompt_speech_22050 = torchaudio.transforms.Resample(orig_freq=16000, new_freq=22050)(prompt_speech_16k) + speech_feat, speech_feat_len = self._extract_speech_feat(prompt_speech_22050) + speech_token, speech_token_len = self._extract_speech_token(prompt_speech_16k) + embedding = self._extract_spk_embedding(prompt_speech_16k) + model_input = {'text': tts_text_token, 'text_len': tts_text_token_len, + 'prompt_text': prompt_text_token, 'prompt_text_len': prompt_text_token_len, + 'llm_prompt_speech_token': speech_token, 'llm_prompt_speech_token_len': speech_token_len, + 'flow_prompt_speech_token': speech_token, 'flow_prompt_speech_token_len': speech_token_len, + 'prompt_speech_feat': speech_feat, 'prompt_speech_feat_len': speech_feat_len, + 'llm_embedding': embedding, 'flow_embedding': embedding} + return model_input + + def frontend_cross_lingual(self, tts_text, prompt_speech_16k): + model_input = self.frontend_zero_shot(tts_text, '', prompt_speech_16k) + # in cross lingual mode, we remove prompt in llm + del model_input['prompt_text'] + del model_input['prompt_text_len'] + del model_input['llm_prompt_speech_token'] + del model_input['llm_prompt_speech_token_len'] + return model_input + + def frontend_instruct(self, tts_text, spk_id, instruct_text): + model_input = self.frontend_sft(tts_text, spk_id) + # in instruct mode, we remove spk_embedding in llm due to information leakage + del model_input['llm_embedding'] + instruct_text_token, instruct_text_token_len = self._extract_text_token(instruct_text + '') + model_input['prompt_text'] = instruct_text_token + model_input['prompt_text_len'] = instruct_text_token_len + return model_input diff --git a/CosyVoice/cosyvoice/cli/model.py b/CosyVoice/cosyvoice/cli/model.py new file mode 100644 index 0000000000000000000000000000000000000000..f4625e396cbf7437fde9fcd7274f730f0d2248be --- /dev/null +++ b/CosyVoice/cosyvoice/cli/model.py @@ -0,0 +1,60 @@ +# Copyright (c) 2024 Alibaba Inc (authors: Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import torch + +class CosyVoiceModel: + + def __init__(self, + llm: torch.nn.Module, + flow: torch.nn.Module, + hift: torch.nn.Module): + self.device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') + self.llm = llm + self.flow = flow + self.hift = hift + + def load(self, llm_model, flow_model, hift_model): + self.llm.load_state_dict(torch.load(llm_model, map_location=self.device)) + self.llm.to(self.device).eval() + self.flow.load_state_dict(torch.load(flow_model, map_location=self.device)) + self.flow.to(self.device).eval() + self.hift.load_state_dict(torch.load(hift_model, map_location=self.device)) + self.hift.to(self.device).eval() + + def inference(self, text, text_len, flow_embedding, llm_embedding=torch.zeros(0, 192), + prompt_text=torch.zeros(1, 0, dtype=torch.int32), prompt_text_len=torch.zeros(1, dtype=torch.int32), + llm_prompt_speech_token=torch.zeros(1, 0, dtype=torch.int32), llm_prompt_speech_token_len=torch.zeros(1, dtype=torch.int32), + flow_prompt_speech_token=torch.zeros(1, 0, dtype=torch.int32), flow_prompt_speech_token_len=torch.zeros(1, dtype=torch.int32), + prompt_speech_feat=torch.zeros(1, 0, 80), prompt_speech_feat_len=torch.zeros(1, dtype=torch.int32)): + tts_speech_token = self.llm.inference(text=text.to(self.device), + text_len=text_len.to(self.device), + prompt_text=prompt_text.to(self.device), + prompt_text_len=prompt_text_len.to(self.device), + prompt_speech_token=llm_prompt_speech_token.to(self.device), + prompt_speech_token_len=llm_prompt_speech_token_len.to(self.device), + embedding=llm_embedding.to(self.device), + beam_size=1, + sampling=25, + max_token_text_ratio=30, + min_token_text_ratio=3) + tts_mel = self.flow.inference(token=tts_speech_token, + token_len=torch.tensor([tts_speech_token.size(1)], dtype=torch.int32).to(self.device), + prompt_token=flow_prompt_speech_token.to(self.device), + prompt_token_len=flow_prompt_speech_token_len.to(self.device), + prompt_feat=prompt_speech_feat.to(self.device), + prompt_feat_len=prompt_speech_feat_len.to(self.device), + embedding=flow_embedding.to(self.device)) + tts_speech = self.hift.inference(mel=tts_mel).cpu() + torch.cuda.empty_cache() + return {'tts_speech': tts_speech} diff --git a/CosyVoice/cosyvoice/dataset/__init__.py b/CosyVoice/cosyvoice/dataset/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/CosyVoice/cosyvoice/dataset/dataset.py b/CosyVoice/cosyvoice/dataset/dataset.py new file mode 100644 index 0000000000000000000000000000000000000000..431fae124debeabfbb7c7742317bddcf7984e91e --- /dev/null +++ b/CosyVoice/cosyvoice/dataset/dataset.py @@ -0,0 +1,160 @@ +# Copyright (c) 2021 Mobvoi Inc. (authors: Binbin Zhang) +# 2024 Alibaba Inc (authors: Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import random +import json +import math +from functools import partial + +import torch +import torch.distributed as dist +from torch.utils.data import IterableDataset +from cosyvoice.utils.file_utils import read_lists, read_json_lists + + +class Processor(IterableDataset): + + def __init__(self, source, f, *args, **kw): + assert callable(f) + self.source = source + self.f = f + self.args = args + self.kw = kw + + def set_epoch(self, epoch): + self.source.set_epoch(epoch) + + def __iter__(self): + """ Return an iterator over the source dataset processed by the + given processor. + """ + assert self.source is not None + assert callable(self.f) + return self.f(iter(self.source), *self.args, **self.kw) + + def apply(self, f): + assert callable(f) + return Processor(self, f, *self.args, **self.kw) + + +class DistributedSampler: + + def __init__(self, shuffle=True, partition=True): + self.epoch = -1 + self.update() + self.shuffle = shuffle + self.partition = partition + + def update(self): + assert dist.is_available() + if dist.is_initialized(): + self.rank = dist.get_rank() + self.world_size = dist.get_world_size() + else: + self.rank = 0 + self.world_size = 1 + worker_info = torch.utils.data.get_worker_info() + if worker_info is None: + self.worker_id = 0 + self.num_workers = 1 + else: + self.worker_id = worker_info.id + self.num_workers = worker_info.num_workers + return dict(rank=self.rank, + world_size=self.world_size, + worker_id=self.worker_id, + num_workers=self.num_workers) + + def set_epoch(self, epoch): + self.epoch = epoch + + def sample(self, data): + """ Sample data according to rank/world_size/num_workers + + Args: + data(List): input data list + + Returns: + List: data list after sample + """ + data = list(range(len(data))) + # force datalist even + if self.partition: + if self.shuffle: + random.Random(self.epoch).shuffle(data) + if len(data) < self.world_size: + data = data * math.ceil(self.world_size / len(data)) + data = data[:self.world_size] + data = data[self.rank::self.world_size] + if len(data) < self.num_workers: + data = data * math.ceil(self.num_workers / len(data)) + data = data[:self.num_workers] + data = data[self.worker_id::self.num_workers] + return data + + +class DataList(IterableDataset): + + def __init__(self, lists, shuffle=True, partition=True): + self.lists = lists + self.sampler = DistributedSampler(shuffle, partition) + + def set_epoch(self, epoch): + self.sampler.set_epoch(epoch) + + def __iter__(self): + sampler_info = self.sampler.update() + indexes = self.sampler.sample(self.lists) + for index in indexes: + data = dict(src=self.lists[index]) + data.update(sampler_info) + yield data + + +def Dataset(data_list_file, + data_pipeline, + mode='train', + shuffle=True, + partition=True, + tts_file='', + prompt_utt2data=''): + """ Construct dataset from arguments + + We have two shuffle stage in the Dataset. The first is global + shuffle at shards tar/raw file level. The second is global shuffle + at training samples level. + + Args: + data_type(str): raw/shard + tokenizer (BaseTokenizer): tokenizer to tokenize + partition(bool): whether to do data partition in terms of rank + """ + assert mode in ['train', 'inference'] + lists = read_lists(data_list_file) + if mode == 'inference': + with open(tts_file) as f: + tts_data = json.load(f) + utt2lists = read_json_lists(prompt_utt2data) + # filter unnecessary file in inference mode + lists = list(set([utt2lists[utt] for utt in tts_data.keys() if utt2lists[utt] in lists])) + dataset = DataList(lists, + shuffle=shuffle, + partition=partition) + if mode == 'inference': + # map partial arg tts_data in inference mode + data_pipeline[0] = partial(data_pipeline[0], tts_data=tts_data) + for func in data_pipeline: + dataset = Processor(dataset, func, mode=mode) + return dataset diff --git a/CosyVoice/cosyvoice/dataset/processor.py b/CosyVoice/cosyvoice/dataset/processor.py new file mode 100644 index 0000000000000000000000000000000000000000..11f31c4d47ff88a2c624e4f3f93790f9b07ed1f5 --- /dev/null +++ b/CosyVoice/cosyvoice/dataset/processor.py @@ -0,0 +1,369 @@ +# Copyright (c) 2024 Alibaba Inc (authors: Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import logging +import random + +import pyarrow.parquet as pq +from io import BytesIO +import torch +import torchaudio +from torch.nn.utils.rnn import pad_sequence +import torch.nn.functional as F + +torchaudio.set_audio_backend('soundfile') + +AUDIO_FORMAT_SETS = set(['flac', 'mp3', 'm4a', 'ogg', 'opus', 'wav', 'wma']) + + +def parquet_opener(data, mode='train', tts_data={}): + """ Give url or local file, return file descriptor + Inplace operation. + + Args: + data(Iterable[str]): url or local file list + + Returns: + Iterable[{src, stream}] + """ + for sample in data: + assert 'src' in sample + url = sample['src'] + try: + df = pq.read_table(url).to_pandas() + for i in range(len(df)): + if mode == 'inference' and df.loc[i, 'utt'] not in tts_data: + continue + sample.update(dict(df.loc[i])) + if mode == 'train': + # NOTE do not return sample directly, must initialize a new dict + yield {**sample} + else: + for index, text in enumerate(tts_data[df.loc[i, 'utt']]): + yield {**sample, 'tts_index': index, 'tts_text': text} + except Exception as ex: + logging.warning('Failed to open {}, ex info {}'.format(url, ex)) + +def filter(data, + max_length=10240, + min_length=10, + token_max_length=200, + token_min_length=1, + min_output_input_ratio=0.0005, + max_output_input_ratio=1, + mode='train'): + """ Filter sample according to feature and label length + Inplace operation. + + Args:: + data: Iterable[{key, wav, label, sample_rate}] + max_length: drop utterance which is greater than max_length(10ms) + min_length: drop utterance which is less than min_length(10ms) + token_max_length: drop utterance which is greater than + token_max_length, especially when use char unit for + english modeling + token_min_length: drop utterance which is + less than token_max_length + min_output_input_ratio: minimal ration of + token_length / feats_length(10ms) + max_output_input_ratio: maximum ration of + token_length / feats_length(10ms) + + Returns: + Iterable[{key, wav, label, sample_rate}] + """ + for sample in data: + sample['speech'], sample['sample_rate'] = torchaudio.load(BytesIO(sample['audio_data'])) + del sample['audio_data'] + # sample['wav'] is torch.Tensor, we have 100 frames every second + num_frames = sample['speech'].size(1) / sample['sample_rate'] * 100 + if num_frames < min_length: + continue + if num_frames > max_length: + continue + if len(sample['text_token']) < token_min_length: + continue + if len(sample['text_token']) > token_max_length: + continue + if len(sample['speech_token']) == 0: + continue + if num_frames != 0: + if len(sample['text_token']) / num_frames < min_output_input_ratio: + continue + if len(sample['text_token']) / num_frames > max_output_input_ratio: + continue + yield sample + + +def resample(data, resample_rate=22050, min_sample_rate=16000, mode='train'): + """ Resample data. + Inplace operation. + + Args: + data: Iterable[{key, wav, label, sample_rate}] + resample_rate: target resample rate + + Returns: + Iterable[{key, wav, label, sample_rate}] + """ + for sample in data: + assert 'sample_rate' in sample + assert 'speech' in sample + sample_rate = sample['sample_rate'] + waveform = sample['speech'] + if sample_rate != resample_rate: + if sample_rate < min_sample_rate: + continue + sample['sample_rate'] = resample_rate + sample['speech'] = torchaudio.transforms.Resample( + orig_freq=sample_rate, new_freq=resample_rate)(waveform) + max_val = sample['speech'].abs().max() + if max_val > 1: + sample['speech'] /= max_val + yield sample + + +def compute_fbank(data, + feat_extractor, + mode='train'): + """ Extract fbank + + Args: + data: Iterable[{key, wav, label, sample_rate}] + + Returns: + Iterable[{key, feat, label}] + """ + for sample in data: + assert 'sample_rate' in sample + assert 'speech' in sample + assert 'utt' in sample + assert 'text_token' in sample + waveform = sample['speech'] + mat = feat_extractor(waveform).squeeze(dim=0).transpose(0, 1) + sample['speech_feat'] = mat + del sample['speech'] + yield sample + + +def parse_embedding(data, normalize, mode='train'): + """ Parse utt_embedding/spk_embedding + + Args: + data: Iterable[{key, wav, label, sample_rate}] + + Returns: + Iterable[{key, feat, label}] + """ + for sample in data: + sample['utt_embedding'] = torch.tensor(sample['utt_embedding'], dtype=torch.float32) + sample['spk_embedding'] = torch.tensor(sample['spk_embedding'], dtype=torch.float32) + if normalize: + sample['utt_embedding'] = F.normalize(sample['utt_embedding'], dim=0) + sample['spk_embedding'] = F.normalize(sample['spk_embedding'], dim=0) + yield sample + + +def tokenize(data, get_tokenizer, allowed_special, mode='train'): + """ Decode text to chars or BPE + Inplace operation + + Args: + data: Iterable[{key, wav, txt, sample_rate}] + + Returns: + Iterable[{key, wav, txt, tokens, label, sample_rate}] + """ + tokenizer = get_tokenizer() + for sample in data: + assert 'text' in sample + sample['text_token'] = tokenizer.encode(sample['text'], allowed_special=allowed_special) + if mode == 'inference': + sample['tts_text_token'] = tokenizer.encode(sample['tts_text'], allowed_special=allowed_special) + yield sample + + +def shuffle(data, shuffle_size=10000, mode='train'): + """ Local shuffle the data + + Args: + data: Iterable[{key, feat, label}] + shuffle_size: buffer size for shuffle + + Returns: + Iterable[{key, feat, label}] + """ + buf = [] + for sample in data: + buf.append(sample) + if len(buf) >= shuffle_size: + random.shuffle(buf) + for x in buf: + yield x + buf = [] + # The sample left over + random.shuffle(buf) + for x in buf: + yield x + + +def sort(data, sort_size=500, mode='train'): + """ Sort the data by feature length. + Sort is used after shuffle and before batch, so we can group + utts with similar lengths into a batch, and `sort_size` should + be less than `shuffle_size` + + Args: + data: Iterable[{key, feat, label}] + sort_size: buffer size for sort + + Returns: + Iterable[{key, feat, label}] + """ + + buf = [] + for sample in data: + buf.append(sample) + if len(buf) >= sort_size: + buf.sort(key=lambda x: x['speech_feat'].size(0)) + for x in buf: + yield x + buf = [] + # The sample left over + buf.sort(key=lambda x: x['speech_feat'].size(0)) + for x in buf: + yield x + + +def static_batch(data, batch_size=16): + """ Static batch the data by `batch_size` + + Args: + data: Iterable[{key, feat, label}] + batch_size: batch size + + Returns: + Iterable[List[{key, feat, label}]] + """ + buf = [] + for sample in data: + buf.append(sample) + if len(buf) >= batch_size: + yield buf + buf = [] + if len(buf) > 0: + yield buf + + +def dynamic_batch(data, max_frames_in_batch=12000, mode='train'): + """ Dynamic batch the data until the total frames in batch + reach `max_frames_in_batch` + + Args: + data: Iterable[{key, feat, label}] + max_frames_in_batch: max_frames in one batch + + Returns: + Iterable[List[{key, feat, label}]] + """ + buf = [] + longest_frames = 0 + for sample in data: + assert 'speech_feat' in sample + assert isinstance(sample['speech_feat'], torch.Tensor) + new_sample_frames = sample['speech_feat'].size(0) + longest_frames = max(longest_frames, new_sample_frames) + frames_after_padding = longest_frames * (len(buf) + 1) + if frames_after_padding > max_frames_in_batch: + yield buf + buf = [sample] + longest_frames = new_sample_frames + else: + buf.append(sample) + if len(buf) > 0: + yield buf + + +def batch(data, batch_type='static', batch_size=16, max_frames_in_batch=12000, mode='train'): + """ Wrapper for static/dynamic batch + """ + if mode == 'inference': + return static_batch(data, 1) + else: + if batch_type == 'static': + return static_batch(data, batch_size) + elif batch_type == 'dynamic': + return dynamic_batch(data, max_frames_in_batch) + else: + logging.fatal('Unsupported batch type {}'.format(batch_type)) + + +def padding(data, use_spk_embedding, mode='train'): + """ Padding the data into training data + + Args: + data: Iterable[List[{key, feat, label}]] + + Returns: + Iterable[Tuple(keys, feats, labels, feats lengths, label lengths)] + """ + for sample in data: + assert isinstance(sample, list) + speech_feat_len = torch.tensor([x['speech_feat'].size(1) for x in sample], + dtype=torch.int32) + order = torch.argsort(speech_feat_len, descending=True) + + utts = [sample[i]['utt'] for i in order] + speech_token = [torch.tensor(sample[i]['speech_token']) for i in order] + speech_token_len = torch.tensor([i.size(0) for i in speech_token], dtype=torch.int32) + speech_token = pad_sequence(speech_token, + batch_first=True, + padding_value=0) + speech_feat = [sample[i]['speech_feat'] for i in order] + speech_feat_len = torch.tensor([i.size(0) for i in speech_feat], dtype=torch.int32) + speech_feat = pad_sequence(speech_feat, + batch_first=True, + padding_value=0) + text = [sample[i]['text'] for i in order] + text_token = [torch.tensor(sample[i]['text_token']) for i in order] + text_token_len = torch.tensor([i.size(0) for i in text_token], dtype=torch.int32) + text_token = pad_sequence(text_token, batch_first=True, padding_value=0) + utt_embedding = torch.stack([sample[i]['utt_embedding'] for i in order], dim=0) + spk_embedding = torch.stack([sample[i]['spk_embedding'] for i in order], dim=0) + batch = { + "utts": utts, + "speech_token": speech_token, + "speech_token_len": speech_token_len, + "speech_feat": speech_feat, + "speech_feat_len": speech_feat_len, + "text": text, + "text_token": text_token, + "text_token_len": text_token_len, + "utt_embedding": utt_embedding, + "spk_embedding": spk_embedding, + } + if mode == 'inference': + tts_text = [sample[i]['tts_text'] for i in order] + tts_index = [sample[i]['tts_index'] for i in order] + tts_text_token = [torch.tensor(sample[i]['tts_text_token']) for i in order] + tts_text_token_len = torch.tensor([i.size(0) for i in tts_text_token], dtype=torch.int32) + tts_text_token = pad_sequence(tts_text_token, batch_first=True, padding_value=-1) + batch.update({'tts_text': tts_text, + 'tts_index': tts_index, + 'tts_text_token': tts_text_token, + 'tts_text_token_len': tts_text_token_len}) + if use_spk_embedding is True: + batch["embedding"] = batch["spk_embedding"] + else: + batch["embedding"] = batch["utt_embedding"] + yield batch diff --git a/CosyVoice/cosyvoice/flow/decoder.py b/CosyVoice/cosyvoice/flow/decoder.py new file mode 100644 index 0000000000000000000000000000000000000000..43492799390b44a2843bc53604603842754799f9 --- /dev/null +++ b/CosyVoice/cosyvoice/flow/decoder.py @@ -0,0 +1,222 @@ +# Copyright (c) 2024 Alibaba Inc (authors: Xiang Lyu, Zhihao Du) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import torch +import torch.nn as nn +from einops import pack, rearrange, repeat +from matcha.models.components.decoder import SinusoidalPosEmb, Block1D, ResnetBlock1D, Downsample1D, TimestepEmbedding, Upsample1D +from matcha.models.components.transformer import BasicTransformerBlock + + +class ConditionalDecoder(nn.Module): + def __init__( + self, + in_channels, + out_channels, + channels=(256, 256), + dropout=0.05, + attention_head_dim=64, + n_blocks=1, + num_mid_blocks=2, + num_heads=4, + act_fn="snake", + ): + """ + This decoder requires an input with the same shape of the target. So, if your text content + is shorter or longer than the outputs, please re-sampling it before feeding to the decoder. + """ + super().__init__() + channels = tuple(channels) + self.in_channels = in_channels + self.out_channels = out_channels + + self.time_embeddings = SinusoidalPosEmb(in_channels) + time_embed_dim = channels[0] * 4 + self.time_mlp = TimestepEmbedding( + in_channels=in_channels, + time_embed_dim=time_embed_dim, + act_fn="silu", + ) + self.down_blocks = nn.ModuleList([]) + self.mid_blocks = nn.ModuleList([]) + self.up_blocks = nn.ModuleList([]) + + output_channel = in_channels + for i in range(len(channels)): # pylint: disable=consider-using-enumerate + input_channel = output_channel + output_channel = channels[i] + is_last = i == len(channels) - 1 + resnet = ResnetBlock1D(dim=input_channel, dim_out=output_channel, time_emb_dim=time_embed_dim) + transformer_blocks = nn.ModuleList( + [ + BasicTransformerBlock( + dim=output_channel, + num_attention_heads=num_heads, + attention_head_dim=attention_head_dim, + dropout=dropout, + activation_fn=act_fn, + ) + for _ in range(n_blocks) + ] + ) + downsample = ( + Downsample1D(output_channel) if not is_last else nn.Conv1d(output_channel, output_channel, 3, padding=1) + ) + self.down_blocks.append(nn.ModuleList([resnet, transformer_blocks, downsample])) + + for i in range(num_mid_blocks): + input_channel = channels[-1] + out_channels = channels[-1] + resnet = ResnetBlock1D(dim=input_channel, dim_out=output_channel, time_emb_dim=time_embed_dim) + + transformer_blocks = nn.ModuleList( + [ + BasicTransformerBlock( + dim=output_channel, + num_attention_heads=num_heads, + attention_head_dim=attention_head_dim, + dropout=dropout, + activation_fn=act_fn, + ) + for _ in range(n_blocks) + ] + ) + + self.mid_blocks.append(nn.ModuleList([resnet, transformer_blocks])) + + channels = channels[::-1] + (channels[0],) + for i in range(len(channels) - 1): + input_channel = channels[i] * 2 + output_channel = channels[i + 1] + is_last = i == len(channels) - 2 + resnet = ResnetBlock1D( + dim=input_channel, + dim_out=output_channel, + time_emb_dim=time_embed_dim, + ) + transformer_blocks = nn.ModuleList( + [ + BasicTransformerBlock( + dim=output_channel, + num_attention_heads=num_heads, + attention_head_dim=attention_head_dim, + dropout=dropout, + activation_fn=act_fn, + ) + for _ in range(n_blocks) + ] + ) + upsample = ( + Upsample1D(output_channel, use_conv_transpose=True) + if not is_last + else nn.Conv1d(output_channel, output_channel, 3, padding=1) + ) + self.up_blocks.append(nn.ModuleList([resnet, transformer_blocks, upsample])) + self.final_block = Block1D(channels[-1], channels[-1]) + self.final_proj = nn.Conv1d(channels[-1], self.out_channels, 1) + self.initialize_weights() + + + def initialize_weights(self): + for m in self.modules(): + if isinstance(m, nn.Conv1d): + nn.init.kaiming_normal_(m.weight, nonlinearity="relu") + if m.bias is not None: + nn.init.constant_(m.bias, 0) + elif isinstance(m, nn.GroupNorm): + nn.init.constant_(m.weight, 1) + nn.init.constant_(m.bias, 0) + elif isinstance(m, nn.Linear): + nn.init.kaiming_normal_(m.weight, nonlinearity="relu") + if m.bias is not None: + nn.init.constant_(m.bias, 0) + + def forward(self, x, mask, mu, t, spks=None, cond=None): + """Forward pass of the UNet1DConditional model. + + Args: + x (torch.Tensor): shape (batch_size, in_channels, time) + mask (_type_): shape (batch_size, 1, time) + t (_type_): shape (batch_size) + spks (_type_, optional): shape: (batch_size, condition_channels). Defaults to None. + cond (_type_, optional): placeholder for future use. Defaults to None. + + Raises: + ValueError: _description_ + ValueError: _description_ + + Returns: + _type_: _description_ + """ + + t = self.time_embeddings(t) + t = self.time_mlp(t) + + x = pack([x, mu], "b * t")[0] + + if spks is not None: + spks = repeat(spks, "b c -> b c t", t=x.shape[-1]) + x = pack([x, spks], "b * t")[0] + if cond is not None: + x = pack([x, cond], "b * t")[0] + + hiddens = [] + masks = [mask] + for resnet, transformer_blocks, downsample in self.down_blocks: + mask_down = masks[-1] + x = resnet(x, mask_down, t) + x = rearrange(x, "b c t -> b t c").contiguous() + attn_mask = torch.matmul(mask_down.transpose(1, 2).contiguous(), mask_down) + for transformer_block in transformer_blocks: + x = transformer_block( + hidden_states=x, + attention_mask=attn_mask, + timestep=t, + ) + x = rearrange(x, "b t c -> b c t").contiguous() + hiddens.append(x) # Save hidden states for skip connections + x = downsample(x * mask_down) + masks.append(mask_down[:, :, ::2]) + masks = masks[:-1] + mask_mid = masks[-1] + + for resnet, transformer_blocks in self.mid_blocks: + x = resnet(x, mask_mid, t) + x = rearrange(x, "b c t -> b t c").contiguous() + attn_mask = torch.matmul(mask_mid.transpose(1, 2).contiguous(), mask_mid) + for transformer_block in transformer_blocks: + x = transformer_block( + hidden_states=x, + attention_mask=attn_mask, + timestep=t, + ) + x = rearrange(x, "b t c -> b c t").contiguous() + + for resnet, transformer_blocks, upsample in self.up_blocks: + mask_up = masks.pop() + skip = hiddens.pop() + x = pack([x[:, :, :skip.shape[-1]], skip], "b * t")[0] + x = resnet(x, mask_up, t) + x = rearrange(x, "b c t -> b t c").contiguous() + attn_mask = torch.matmul(mask_up.transpose(1, 2).contiguous(), mask_up) + for transformer_block in transformer_blocks: + x = transformer_block( + hidden_states=x, + attention_mask=attn_mask, + timestep=t, + ) + x = rearrange(x, "b t c -> b c t").contiguous() + x = upsample(x * mask_up) + x = self.final_block(x, mask_up) + output = self.final_proj(x * mask_up) + return output * mask diff --git a/CosyVoice/cosyvoice/flow/flow.py b/CosyVoice/cosyvoice/flow/flow.py new file mode 100644 index 0000000000000000000000000000000000000000..90a45b413075ef4412ef9a08e4bcf968d7af7285 --- /dev/null +++ b/CosyVoice/cosyvoice/flow/flow.py @@ -0,0 +1,141 @@ +# Copyright (c) 2024 Alibaba Inc (authors: Xiang Lyu, Zhihao Du) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import logging +import random +from typing import Dict, Optional +import torch +import torch.nn as nn +from torch.nn import functional as F +from omegaconf import DictConfig +from cosyvoice.utils.mask import make_pad_mask + + +class MaskedDiffWithXvec(torch.nn.Module): + def __init__(self, + input_size: int = 512, + output_size: int = 80, + spk_embed_dim: int = 192, + output_type: str = "mel", + vocab_size: int = 4096, + input_frame_rate: int = 50, + only_mask_loss: bool = True, + encoder: torch.nn.Module = None, + length_regulator: torch.nn.Module = None, + decoder: torch.nn.Module = None, + decoder_conf: Dict = {'in_channels': 240, 'out_channel': 80, 'spk_emb_dim': 80, 'n_spks': 1, 'cfm_params': DictConfig({'sigma_min': 1e-06, 'solver': 'euler', 't_scheduler': 'cosine', 'training_cfg_rate': 0.2, 'inference_cfg_rate': 0.7, 'reg_loss_type': 'l1'}), 'decoder_params': {'channels': [256, 256], 'dropout': 0.0, 'attention_head_dim': 64, 'n_blocks': 4, 'num_mid_blocks': 12, 'num_heads': 8, 'act_fn': 'gelu'}}, + mel_feat_conf: Dict = {'n_fft': 1024, 'num_mels': 80, 'sampling_rate': 22050, 'hop_size': 256, 'win_size': 1024, 'fmin': 0, 'fmax': 8000}): + super().__init__() + self.input_size = input_size + self.output_size = output_size + self.decoder_conf = decoder_conf + self.mel_feat_conf = mel_feat_conf + self.vocab_size = vocab_size + self.output_type = output_type + self.input_frame_rate = input_frame_rate + logging.info(f"input frame rate={self.input_frame_rate}") + self.input_embedding = nn.Embedding(vocab_size, input_size) + self.spk_embed_affine_layer = torch.nn.Linear(spk_embed_dim, output_size) + self.encoder = encoder + self.encoder_proj = torch.nn.Linear(self.encoder.output_size(), output_size) + self.decoder = decoder + self.length_regulator = length_regulator + self.only_mask_loss = only_mask_loss + + def forward( + self, + batch: dict, + device: torch.device, + ) -> Dict[str, Optional[torch.Tensor]]: + token = batch['speech_token'].to(device) + token_len = batch['speech_token_len'].to(device) + feat = batch['speech_feat'].to(device) + feat_len = batch['speech_feat_len'].to(device) + embedding = batch['embedding'].to(device) + + # xvec projection + embedding = F.normalize(embedding, dim=1) + embedding = self.spk_embed_affine_layer(embedding) + + # concat text and prompt_text + mask = (~make_pad_mask(token_len)).float().unsqueeze(-1).to(device) + token = self.input_embedding(torch.clamp(token, min=0)) * mask + + # text encode + h, h_lengths = self.encoder(token, token_len) + h = self.encoder_proj(h) + h, h_lengths = self.length_regulator(h, feat_len) + + # get conditions + conds = torch.zeros(feat.shape, device=token.device) + for i, j in enumerate(feat_len): + if random.random() < 0.5: + continue + index = random.randint(0, int(0.3 * j)) + conds[i, :index] = feat[i, :index] + conds = conds.transpose(1, 2) + + mask = (~make_pad_mask(feat_len)).to(h) + feat = F.interpolate(feat.unsqueeze(dim=1), size=h.shape[1:], mode="nearest").squeeze(dim=1) + loss, _ = self.decoder.compute_loss( + feat.transpose(1, 2).contiguous(), + mask.unsqueeze(1), + h.transpose(1, 2).contiguous(), + embedding, + cond=conds + ) + return {'loss': loss} + + @torch.inference_mode() + def inference(self, + token, + token_len, + prompt_token, + prompt_token_len, + prompt_feat, + prompt_feat_len, + embedding): + assert token.shape[0] == 1 + # xvec projection + embedding = F.normalize(embedding, dim=1) + embedding = self.spk_embed_affine_layer(embedding) + + # concat text and prompt_text + token, token_len = torch.concat([prompt_token, token], dim=1), prompt_token_len + token_len + mask = (~make_pad_mask(token_len)).float().unsqueeze(-1).to(embedding) + token = self.input_embedding(torch.clamp(token, min=0)) * mask + + # text encode + h, h_lengths = self.encoder(token, token_len) + h = self.encoder_proj(h) + feat_len = (token_len / 50 * 22050 / 256).int() + h, h_lengths = self.length_regulator(h, feat_len) + + # get conditions + conds = torch.zeros([1, feat_len.max().item(), self.output_size], device=token.device) + if prompt_feat.shape[1] != 0: + for i, j in enumerate(prompt_feat_len): + conds[i, :j] = prompt_feat[i] + conds = conds.transpose(1, 2) + + mask = (~make_pad_mask(feat_len)).to(h) + feat = self.decoder( + mu=h.transpose(1, 2).contiguous(), + mask=mask.unsqueeze(1), + spks=embedding, + cond=conds, + n_timesteps=10 + ) + if prompt_feat.shape[1] != 0: + feat = feat[:, :, prompt_feat.shape[1]:] + return feat diff --git a/CosyVoice/cosyvoice/flow/flow_matching.py b/CosyVoice/cosyvoice/flow/flow_matching.py new file mode 100644 index 0000000000000000000000000000000000000000..f82eaaeaf9a5809e9f26b1d22185c899affc2263 --- /dev/null +++ b/CosyVoice/cosyvoice/flow/flow_matching.py @@ -0,0 +1,138 @@ +# Copyright (c) 2024 Alibaba Inc (authors: Xiang Lyu, Zhihao Du) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import torch +import torch.nn.functional as F +from matcha.models.components.flow_matching import BASECFM + +class ConditionalCFM(BASECFM): + def __init__(self, in_channels, cfm_params, n_spks=1, spk_emb_dim=64, estimator: torch.nn.Module = None): + super().__init__( + n_feats=in_channels, + cfm_params=cfm_params, + n_spks=n_spks, + spk_emb_dim=spk_emb_dim, + ) + self.t_scheduler = cfm_params.t_scheduler + self.training_cfg_rate = cfm_params.training_cfg_rate + self.inference_cfg_rate = cfm_params.inference_cfg_rate + in_channels = in_channels + (spk_emb_dim if n_spks > 0 else 0) + # Just change the architecture of the estimator here + self.estimator = estimator + + @torch.inference_mode() + def forward(self, mu, mask, n_timesteps, temperature=1.0, spks=None, cond=None): + """Forward diffusion + + Args: + mu (torch.Tensor): output of encoder + shape: (batch_size, n_feats, mel_timesteps) + mask (torch.Tensor): output_mask + shape: (batch_size, 1, mel_timesteps) + n_timesteps (int): number of diffusion steps + temperature (float, optional): temperature for scaling noise. Defaults to 1.0. + spks (torch.Tensor, optional): speaker ids. Defaults to None. + shape: (batch_size, spk_emb_dim) + cond: Not used but kept for future purposes + + Returns: + sample: generated mel-spectrogram + shape: (batch_size, n_feats, mel_timesteps) + """ + z = torch.randn_like(mu) * temperature + t_span = torch.linspace(0, 1, n_timesteps + 1, device=mu.device) + if self.t_scheduler == 'cosine': + t_span = 1 - torch.cos(t_span * 0.5 * torch.pi) + return self.solve_euler(z, t_span=t_span, mu=mu, mask=mask, spks=spks, cond=cond) + + def solve_euler(self, x, t_span, mu, mask, spks, cond): + """ + Fixed euler solver for ODEs. + Args: + x (torch.Tensor): random noise + t_span (torch.Tensor): n_timesteps interpolated + shape: (n_timesteps + 1,) + mu (torch.Tensor): output of encoder + shape: (batch_size, n_feats, mel_timesteps) + mask (torch.Tensor): output_mask + shape: (batch_size, 1, mel_timesteps) + spks (torch.Tensor, optional): speaker ids. Defaults to None. + shape: (batch_size, spk_emb_dim) + cond: Not used but kept for future purposes + """ + t, _, dt = t_span[0], t_span[-1], t_span[1] - t_span[0] + + # I am storing this because I can later plot it by putting a debugger here and saving it to a file + # Or in future might add like a return_all_steps flag + sol = [] + + for step in range(1, len(t_span)): + dphi_dt = self.estimator(x, mask, mu, t, spks, cond) + # Classifier-Free Guidance inference introduced in VoiceBox + if self.inference_cfg_rate > 0: + cfg_dphi_dt = self.estimator( + x, mask, + torch.zeros_like(mu), t, + torch.zeros_like(spks) if spks is not None else None, + torch.zeros_like(cond) + ) + dphi_dt = ((1.0 + self.inference_cfg_rate) * dphi_dt - + self.inference_cfg_rate * cfg_dphi_dt) + x = x + dt * dphi_dt + t = t + dt + sol.append(x) + if step < len(t_span) - 1: + dt = t_span[step + 1] - t + + return sol[-1] + + def compute_loss(self, x1, mask, mu, spks=None, cond=None): + """Computes diffusion loss + + Args: + x1 (torch.Tensor): Target + shape: (batch_size, n_feats, mel_timesteps) + mask (torch.Tensor): target mask + shape: (batch_size, 1, mel_timesteps) + mu (torch.Tensor): output of encoder + shape: (batch_size, n_feats, mel_timesteps) + spks (torch.Tensor, optional): speaker embedding. Defaults to None. + shape: (batch_size, spk_emb_dim) + + Returns: + loss: conditional flow matching loss + y: conditional flow + shape: (batch_size, n_feats, mel_timesteps) + """ + b, _, t = mu.shape + + # random timestep + t = torch.rand([b, 1, 1], device=mu.device, dtype=mu.dtype) + if self.t_scheduler == 'cosine': + t = 1 - torch.cos(t * 0.5 * torch.pi) + # sample noise p(x_0) + z = torch.randn_like(x1) + + y = (1 - (1 - self.sigma_min) * t) * z + t * x1 + u = x1 - (1 - self.sigma_min) * z + + # during training, we randomly drop condition to trade off mode coverage and sample fidelity + if self.training_cfg_rate > 0: + cfg_mask = torch.rand(b, device=x1.device) > self.training_cfg_rate + mu = mu * cfg_mask.view(-1, 1, 1) + spks = spks * cfg_mask.view(-1, 1) + cond = cond * cfg_mask.view(-1, 1, 1) + + pred = self.estimator(y, mask, mu, t.squeeze(), spks, cond) + loss = F.mse_loss(pred * mask, u * mask, reduction="sum") / (torch.sum(mask) * u.shape[1]) + return loss, y diff --git a/CosyVoice/cosyvoice/flow/length_regulator.py b/CosyVoice/cosyvoice/flow/length_regulator.py new file mode 100644 index 0000000000000000000000000000000000000000..622f29aaccc44d8e8cce23ecab7b086ebb853fde --- /dev/null +++ b/CosyVoice/cosyvoice/flow/length_regulator.py @@ -0,0 +1,49 @@ +# Copyright (c) 2024 Alibaba Inc (authors: Xiang Lyu, Zhihao Du) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from typing import Tuple +import torch.nn as nn +from torch.nn import functional as F +from cosyvoice.utils.mask import make_pad_mask + + +class InterpolateRegulator(nn.Module): + def __init__( + self, + channels: int, + sampling_ratios: Tuple, + out_channels: int = None, + groups: int = 1, + ): + super().__init__() + self.sampling_ratios = sampling_ratios + out_channels = out_channels or channels + model = nn.ModuleList([]) + if len(sampling_ratios) > 0: + for _ in sampling_ratios: + module = nn.Conv1d(channels, channels, 3, 1, 1) + norm = nn.GroupNorm(groups, channels) + act = nn.Mish() + model.extend([module, norm, act]) + model.append( + nn.Conv1d(channels, out_channels, 1, 1) + ) + self.model = nn.Sequential(*model) + + def forward(self, x, ylens=None): + # x in (B, T, D) + mask = (~make_pad_mask(ylens)).to(x).unsqueeze(-1) + x = F.interpolate(x.transpose(1, 2).contiguous(), size=ylens.max(), mode='nearest') + out = self.model(x).transpose(1, 2).contiguous() + olens = ylens + return out * mask, olens diff --git a/CosyVoice/cosyvoice/hifigan/f0_predictor.py b/CosyVoice/cosyvoice/hifigan/f0_predictor.py new file mode 100644 index 0000000000000000000000000000000000000000..36b85f4ed90c3a412cb179f49ccb471132a86550 --- /dev/null +++ b/CosyVoice/cosyvoice/hifigan/f0_predictor.py @@ -0,0 +1,55 @@ +# Copyright (c) 2024 Alibaba Inc (authors: Xiang Lyu, Kai Hu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import torch +import torch.nn as nn +from torch.nn.utils import weight_norm + + +class ConvRNNF0Predictor(nn.Module): + def __init__(self, + num_class: int = 1, + in_channels: int = 80, + cond_channels: int = 512 + ): + super().__init__() + + self.num_class = num_class + self.condnet = nn.Sequential( + weight_norm( + nn.Conv1d(in_channels, cond_channels, kernel_size=3, padding=1) + ), + nn.ELU(), + weight_norm( + nn.Conv1d(cond_channels, cond_channels, kernel_size=3, padding=1) + ), + nn.ELU(), + weight_norm( + nn.Conv1d(cond_channels, cond_channels, kernel_size=3, padding=1) + ), + nn.ELU(), + weight_norm( + nn.Conv1d(cond_channels, cond_channels, kernel_size=3, padding=1) + ), + nn.ELU(), + weight_norm( + nn.Conv1d(cond_channels, cond_channels, kernel_size=3, padding=1) + ), + nn.ELU(), + ) + self.classifier = nn.Linear(in_features=cond_channels, out_features=self.num_class) + + def forward(self, x: torch.Tensor) -> torch.Tensor: + x = self.condnet(x) + x = x.transpose(1, 2) + return torch.abs(self.classifier(x).squeeze(-1)) diff --git a/CosyVoice/cosyvoice/hifigan/generator.py b/CosyVoice/cosyvoice/hifigan/generator.py new file mode 100644 index 0000000000000000000000000000000000000000..a45419b5826c907f24547944ae175fa98e88c2c3 --- /dev/null +++ b/CosyVoice/cosyvoice/hifigan/generator.py @@ -0,0 +1,391 @@ +# Copyright (c) 2024 Alibaba Inc (authors: Xiang Lyu, Kai Hu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""HIFI-GAN""" + +import typing as tp +import numpy as np +from scipy.signal import get_window +import torch +import torch.nn as nn +import torch.nn.functional as F +from torch.nn import Conv1d +from torch.nn import ConvTranspose1d +from torch.nn.utils import remove_weight_norm +from torch.nn.utils import weight_norm +from torch.distributions.uniform import Uniform + +from cosyvoice.transformer.activation import Snake +from cosyvoice.utils.common import get_padding +from cosyvoice.utils.common import init_weights + + +"""hifigan based generator implementation. + +This code is modified from https://github.com/jik876/hifi-gan + ,https://github.com/kan-bayashi/ParallelWaveGAN and + https://github.com/NVIDIA/BigVGAN + +""" +class ResBlock(torch.nn.Module): + """Residual block module in HiFiGAN/BigVGAN.""" + def __init__( + self, + channels: int = 512, + kernel_size: int = 3, + dilations: tp.List[int] = [1, 3, 5], + ): + super(ResBlock, self).__init__() + self.convs1 = nn.ModuleList() + self.convs2 = nn.ModuleList() + + for dilation in dilations: + self.convs1.append( + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=dilation, + padding=get_padding(kernel_size, dilation) + ) + ) + ) + self.convs2.append( + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=1, + padding=get_padding(kernel_size, 1) + ) + ) + ) + self.convs1.apply(init_weights) + self.convs2.apply(init_weights) + self.activations1 = nn.ModuleList([ + Snake(channels, alpha_logscale=False) + for _ in range(len(self.convs1)) + ]) + self.activations2 = nn.ModuleList([ + Snake(channels, alpha_logscale=False) + for _ in range(len(self.convs2)) + ]) + + def forward(self, x: torch.Tensor) -> torch.Tensor: + for idx in range(len(self.convs1)): + xt = self.activations1[idx](x) + xt = self.convs1[idx](xt) + xt = self.activations2[idx](xt) + xt = self.convs2[idx](xt) + x = xt + x + return x + + def remove_weight_norm(self): + for idx in range(len(self.convs1)): + remove_weight_norm(self.convs1[idx]) + remove_weight_norm(self.convs2[idx]) + +class SineGen(torch.nn.Module): + """ Definition of sine generator + SineGen(samp_rate, harmonic_num = 0, + sine_amp = 0.1, noise_std = 0.003, + voiced_threshold = 0, + flag_for_pulse=False) + samp_rate: sampling rate in Hz + harmonic_num: number of harmonic overtones (default 0) + sine_amp: amplitude of sine-wavefrom (default 0.1) + noise_std: std of Gaussian noise (default 0.003) + voiced_thoreshold: F0 threshold for U/V classification (default 0) + flag_for_pulse: this SinGen is used inside PulseGen (default False) + Note: when flag_for_pulse is True, the first time step of a voiced + segment is always sin(np.pi) or cos(0) + """ + + def __init__(self, samp_rate, harmonic_num=0, + sine_amp=0.1, noise_std=0.003, + voiced_threshold=0): + super(SineGen, self).__init__() + self.sine_amp = sine_amp + self.noise_std = noise_std + self.harmonic_num = harmonic_num + self.sampling_rate = samp_rate + self.voiced_threshold = voiced_threshold + + def _f02uv(self, f0): + # generate uv signal + uv = (f0 > self.voiced_threshold).type(torch.float32) + return uv + + @torch.no_grad() + def forward(self, f0): + """ + :param f0: [B, 1, sample_len], Hz + :return: [B, 1, sample_len] + """ + + F_mat = torch.zeros((f0.size(0), self.harmonic_num + 1, f0.size(-1))).to(f0.device) + for i in range(self.harmonic_num + 1): + F_mat[:, i: i + 1, :] = f0 * (i + 1) / self.sampling_rate + + theta_mat = 2 * np.pi * (torch.cumsum(F_mat, dim=-1) % 1) + u_dist = Uniform(low=-np.pi, high=np.pi) + phase_vec = u_dist.sample(sample_shape=(f0.size(0), self.harmonic_num + 1, 1)).to(F_mat.device) + phase_vec[:, 0, :] = 0 + + # generate sine waveforms + sine_waves = self.sine_amp * torch.sin(theta_mat + phase_vec) + + # generate uv signal + uv = self._f02uv(f0) + + # noise: for unvoiced should be similar to sine_amp + # std = self.sine_amp/3 -> max value ~ self.sine_amp + # . for voiced regions is self.noise_std + noise_amp = uv * self.noise_std + (1 - uv) * self.sine_amp / 3 + noise = noise_amp * torch.randn_like(sine_waves) + + # first: set the unvoiced part to 0 by uv + # then: additive noise + sine_waves = sine_waves * uv + noise + return sine_waves, uv, noise + + +class SourceModuleHnNSF(torch.nn.Module): + """ SourceModule for hn-nsf + SourceModule(sampling_rate, harmonic_num=0, sine_amp=0.1, + add_noise_std=0.003, voiced_threshod=0) + sampling_rate: sampling_rate in Hz + harmonic_num: number of harmonic above F0 (default: 0) + sine_amp: amplitude of sine source signal (default: 0.1) + add_noise_std: std of additive Gaussian noise (default: 0.003) + note that amplitude of noise in unvoiced is decided + by sine_amp + voiced_threshold: threhold to set U/V given F0 (default: 0) + Sine_source, noise_source = SourceModuleHnNSF(F0_sampled) + F0_sampled (batchsize, length, 1) + Sine_source (batchsize, length, 1) + noise_source (batchsize, length 1) + uv (batchsize, length, 1) + """ + + def __init__(self, sampling_rate, upsample_scale, harmonic_num=0, sine_amp=0.1, + add_noise_std=0.003, voiced_threshod=0): + super(SourceModuleHnNSF, self).__init__() + + self.sine_amp = sine_amp + self.noise_std = add_noise_std + + # to produce sine waveforms + self.l_sin_gen = SineGen(sampling_rate, harmonic_num, + sine_amp, add_noise_std, voiced_threshod) + + # to merge source harmonics into a single excitation + self.l_linear = torch.nn.Linear(harmonic_num + 1, 1) + self.l_tanh = torch.nn.Tanh() + + def forward(self, x): + """ + Sine_source, noise_source = SourceModuleHnNSF(F0_sampled) + F0_sampled (batchsize, length, 1) + Sine_source (batchsize, length, 1) + noise_source (batchsize, length 1) + """ + # source for harmonic branch + with torch.no_grad(): + sine_wavs, uv, _ = self.l_sin_gen(x.transpose(1, 2)) + sine_wavs = sine_wavs.transpose(1, 2) + uv = uv.transpose(1, 2) + sine_merge = self.l_tanh(self.l_linear(sine_wavs)) + + # source for noise branch, in the same shape as uv + noise = torch.randn_like(uv) * self.sine_amp / 3 + return sine_merge, noise, uv + + +class HiFTGenerator(nn.Module): + """ + HiFTNet Generator: Neural Source Filter + ISTFTNet + https://arxiv.org/abs/2309.09493 + """ + def __init__( + self, + in_channels: int = 80, + base_channels: int = 512, + nb_harmonics: int = 8, + sampling_rate: int = 22050, + nsf_alpha: float = 0.1, + nsf_sigma: float = 0.003, + nsf_voiced_threshold: float = 10, + upsample_rates: tp.List[int] = [8, 8], + upsample_kernel_sizes: tp.List[int] = [16, 16], + istft_params: tp.Dict[str, int] = {"n_fft": 16, "hop_len": 4}, + resblock_kernel_sizes: tp.List[int] = [3, 7, 11], + resblock_dilation_sizes: tp.List[tp.List[int]] = [[1, 3, 5], [1, 3, 5], [1, 3, 5]], + source_resblock_kernel_sizes: tp.List[int] = [7, 11], + source_resblock_dilation_sizes: tp.List[tp.List[int]] = [[1, 3, 5], [1, 3, 5]], + lrelu_slope: float = 0.1, + audio_limit: float = 0.99, + f0_predictor: torch.nn.Module = None, + ): + super(HiFTGenerator, self).__init__() + + self.out_channels = 1 + self.nb_harmonics = nb_harmonics + self.sampling_rate = sampling_rate + self.istft_params = istft_params + self.lrelu_slope = lrelu_slope + self.audio_limit = audio_limit + + self.num_kernels = len(resblock_kernel_sizes) + self.num_upsamples = len(upsample_rates) + self.m_source = SourceModuleHnNSF( + sampling_rate=sampling_rate, + upsample_scale=np.prod(upsample_rates) * istft_params["hop_len"], + harmonic_num=nb_harmonics, + sine_amp=nsf_alpha, + add_noise_std=nsf_sigma, + voiced_threshod=nsf_voiced_threshold) + self.f0_upsamp = torch.nn.Upsample(scale_factor=np.prod(upsample_rates) * istft_params["hop_len"]) + + self.conv_pre = weight_norm( + Conv1d(in_channels, base_channels, 7, 1, padding=3) + ) + + # Up + self.ups = nn.ModuleList() + for i, (u, k) in enumerate(zip(upsample_rates, upsample_kernel_sizes)): + self.ups.append( + weight_norm( + ConvTranspose1d( + base_channels // (2**i), + base_channels // (2**(i + 1)), + k, + u, + padding=(k - u) // 2, + ) + ) + ) + + # Down + self.source_downs = nn.ModuleList() + self.source_resblocks = nn.ModuleList() + downsample_rates = [1] + upsample_rates[::-1][:-1] + downsample_cum_rates = np.cumprod(downsample_rates) + for i, (u, k, d) in enumerate(zip(downsample_cum_rates[::-1], source_resblock_kernel_sizes, + source_resblock_dilation_sizes)): + if u == 1: + self.source_downs.append( + Conv1d(istft_params["n_fft"] + 2, base_channels // (2 ** (i + 1)), 1, 1) + ) + else: + self.source_downs.append( + Conv1d(istft_params["n_fft"] + 2, base_channels // (2 ** (i + 1)), u * 2, u, padding=(u // 2)) + ) + + self.source_resblocks.append( + ResBlock(base_channels // (2 ** (i + 1)), k, d) + ) + + self.resblocks = nn.ModuleList() + for i in range(len(self.ups)): + ch = base_channels // (2**(i + 1)) + for j, (k, d) in enumerate(zip(resblock_kernel_sizes, resblock_dilation_sizes)): + self.resblocks.append(ResBlock(ch, k, d)) + + self.conv_post = weight_norm(Conv1d(ch, istft_params["n_fft"] + 2, 7, 1, padding=3)) + self.ups.apply(init_weights) + self.conv_post.apply(init_weights) + self.reflection_pad = nn.ReflectionPad1d((1, 0)) + self.stft_window = torch.from_numpy(get_window("hann", istft_params["n_fft"], fftbins=True).astype(np.float32)) + self.f0_predictor = f0_predictor + + def _f02source(self, f0: torch.Tensor) -> torch.Tensor: + f0 = self.f0_upsamp(f0[:, None]).transpose(1, 2) # bs,n,t + + har_source, _, _ = self.m_source(f0) + return har_source.transpose(1, 2) + + def _stft(self, x): + spec = torch.stft( + x, + self.istft_params["n_fft"], self.istft_params["hop_len"], self.istft_params["n_fft"], window=self.stft_window.to(x.device), + return_complex=True) + spec = torch.view_as_real(spec) # [B, F, TT, 2] + return spec[..., 0], spec[..., 1] + + def _istft(self, magnitude, phase): + magnitude = torch.clip(magnitude, max=1e2) + real = magnitude * torch.cos(phase) + img = magnitude * torch.sin(phase) + inverse_transform = torch.istft(torch.complex(real, img), self.istft_params["n_fft"], self.istft_params["hop_len"], self.istft_params["n_fft"], window=self.stft_window.to(magnitude.device)) + return inverse_transform + + def forward(self, x: torch.Tensor) -> torch.Tensor: + f0 = self.f0_predictor(x) + s = self._f02source(f0) + + s_stft_real, s_stft_imag = self._stft(s.squeeze(1)) + s_stft = torch.cat([s_stft_real, s_stft_imag], dim=1) + + x = self.conv_pre(x) + for i in range(self.num_upsamples): + x = F.leaky_relu(x, self.lrelu_slope) + x = self.ups[i](x) + + if i == self.num_upsamples - 1: + x = self.reflection_pad(x) + + # fusion + si = self.source_downs[i](s_stft) + si = self.source_resblocks[i](si) + x = x + si + + xs = None + for j in range(self.num_kernels): + if xs is None: + xs = self.resblocks[i * self.num_kernels + j](x) + else: + xs += self.resblocks[i * self.num_kernels + j](x) + x = xs / self.num_kernels + + x = F.leaky_relu(x) + x = self.conv_post(x) + magnitude = torch.exp(x[:, :self.istft_params["n_fft"] // 2 + 1, :]) + phase = torch.sin(x[:, self.istft_params["n_fft"] // 2 + 1:, :]) # actually, sin is redundancy + + x = self._istft(magnitude, phase) + x = torch.clamp(x, -self.audio_limit, self.audio_limit) + return x + + def remove_weight_norm(self): + print('Removing weight norm...') + for l in self.ups: + remove_weight_norm(l) + for l in self.resblocks: + l.remove_weight_norm() + remove_weight_norm(self.conv_pre) + remove_weight_norm(self.conv_post) + self.source_module.remove_weight_norm() + for l in self.source_downs: + remove_weight_norm(l) + for l in self.source_resblocks: + l.remove_weight_norm() + + @torch.inference_mode() + def inference(self, mel: torch.Tensor) -> torch.Tensor: + return self.forward(x=mel) diff --git a/CosyVoice/cosyvoice/llm/llm.py b/CosyVoice/cosyvoice/llm/llm.py new file mode 100644 index 0000000000000000000000000000000000000000..3b418c5d1017c6f8412418dd8d1c1b7790947241 --- /dev/null +++ b/CosyVoice/cosyvoice/llm/llm.py @@ -0,0 +1,206 @@ +# Copyright (c) 2024 Alibaba Inc (authors: Xiang Lyu, Zhihao Du) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from typing import Dict, Optional, Union +import torch +from torch import nn +import torch.nn.functional as F +from torch.nn.utils.rnn import pad_sequence, unpad_sequence +from cosyvoice.utils.common import IGNORE_ID +from cosyvoice.transformer.label_smoothing_loss import LabelSmoothingLoss +from cosyvoice.utils.common import th_accuracy + + +class TransformerLM(torch.nn.Module): + def __init__( + self, + text_encoder_input_size: int, + llm_input_size: int, + llm_output_size: int, + text_token_size: int, + speech_token_size: int, + text_encoder: torch.nn.Module, + llm: torch.nn.Module, + length_normalized_loss: bool = True, + lsm_weight: float = 0.0, + spk_embed_dim: int = 192, + ): + super().__init__() + self.llm_input_size = llm_input_size + self.speech_token_size = speech_token_size + # 1. build text token inputs related modules + self.text_embedding = torch.nn.Embedding(text_token_size, text_encoder_input_size) + self.text_encoder = text_encoder + self.text_encoder_affine_layer = nn.Linear( + self.text_encoder.output_size(), + llm_input_size + ) + + # 2. build speech token language model related modules + self.sos_eos = 0 + self.task_id = 1 + self.llm_embedding = torch.nn.Embedding(2, llm_input_size) + self.llm = llm + self.llm_decoder = nn.Linear(llm_output_size, speech_token_size + 1) + self.criterion_ce = LabelSmoothingLoss( + size=speech_token_size + 1, + padding_idx=IGNORE_ID, + smoothing=lsm_weight, + normalize_length=length_normalized_loss, + ) + + # 3. [Optional] build speech token related modules + self.speech_embedding = torch.nn.Embedding(speech_token_size, llm_input_size) + self.spk_embed_affine_layer = torch.nn.Linear(spk_embed_dim, llm_input_size) + + def encode( + self, + text: torch.Tensor, + text_lengths: torch.Tensor, + ): + encoder_out, encoder_mask = self.text_encoder(text, text_lengths, decoding_chunk_size=1, num_decoding_left_chunks=-1) + encoder_out_lens = encoder_mask.squeeze(1).sum(1) + encoder_out = self.text_encoder_affine_layer(encoder_out) + return encoder_out, encoder_out_lens + + def pad_unpad_sequence(self, sos_eos_emb, embedding, text_token, text_token_len, task_id_emb, speech_token, speech_token_len): + text_token = unpad_sequence(text_token, text_token_len.cpu(), batch_first=True) + speech_token = unpad_sequence(speech_token, speech_token_len.cpu(), batch_first=True) + lm_input = [torch.concat([sos_eos_emb.squeeze(dim=0), embedding[i], text_token[i], task_id_emb.squeeze(dim=0), speech_token[i]], dim=0) for i in range(len(text_token))] + lm_input_len = torch.tensor([i.size(0) for i in lm_input], dtype=torch.int32) + lm_input = pad_sequence(lm_input, batch_first=True, padding_value=IGNORE_ID) + return lm_input, lm_input_len + + def forward( + self, + batch: dict, + device: torch.device, + ) -> Dict[str, Optional[torch.Tensor]]: + """ + Args: + text: (B, L, D) + text_lengths: (B,) + audio: (B, T, N) or (B, T) + audio_lengths: (B,) + """ + text_token = batch['text_token'].to(device) + text_token_len = batch['text_token_len'].to(device) + speech_token = batch['speech_token'].to(device) + speech_token_len = batch['speech_token_len'].to(device) + embedding = batch['embedding'].to(device) + + # 1. prepare llm_target + lm_target = [torch.tensor([IGNORE_ID] * (2 + text_token_len[i]) + speech_token[i, :speech_token_len[i]].tolist() + [self.speech_token_size]) for i in range(text_token.size(0))] + lm_target = pad_sequence(lm_target, batch_first=True, padding_value=IGNORE_ID).to(device) + + # 1. encode text_token + text_token = self.text_embedding(text_token) + text_token, text_token_len = self.encode(text_token, text_token_len) + + # 2. embedding projection + embedding = F.normalize(embedding, dim=1) + embedding = self.spk_embed_affine_layer(embedding) + embedding = embedding.unsqueeze(1) + + # 3. eos and task_id + sos_eos_emb = self.llm_embedding.weight[self.sos_eos].reshape(1, 1, -1) + task_id_emb = self.llm_embedding.weight[self.task_id].reshape(1, 1, -1) + + # 4. encode speech_token + speech_token = self.speech_embedding(speech_token) + + # 5. unpad and pad + lm_input, lm_input_len = self.pad_unpad_sequence(sos_eos_emb, embedding, text_token, text_token_len, task_id_emb, speech_token, speech_token_len) + + # 6. run lm forward + lm_output, lm_output_mask = self.llm(lm_input, lm_input_len.to(device)) + logits = self.llm_decoder(lm_output) + loss = self.criterion_ce(logits, lm_target) + acc = th_accuracy(logits.view(-1, self.speech_token_size + 1), lm_target, ignore_label=IGNORE_ID) + return {'loss': loss, 'acc': acc} + + def sampling_ids( + self, + weighted_scores: torch.Tensor, + sampling: Union[bool, int, float] = True, + beam_size: int = 1, + ignore_eos: bool = True, + ): + while True: + prob, indices = weighted_scores.softmax(dim=-1).topk(sampling) + top_ids = prob.multinomial(beam_size, replacement=True) + top_ids = indices[top_ids] + if (not ignore_eos) or (self.speech_token_size not in top_ids): + break + return top_ids + + @torch.inference_mode() + def inference( + self, + text: torch.Tensor, + text_len: torch.Tensor, + prompt_text: torch.Tensor, + prompt_text_len: torch.Tensor, + prompt_speech_token: torch.Tensor, + prompt_speech_token_len: torch.Tensor, + embedding: torch.Tensor, + beam_size: int = 1, + sampling: int = 25, + max_token_text_ratio: float = 20, + min_token_text_ratio: float = 2, + ) -> torch.Tensor: + device = text.device + text = torch.concat([prompt_text, text], dim=1) + text_len += prompt_text_len + text = self.text_embedding(text) + + # 1. encode text + text, text_len = self.encode(text, text_len) + + # 2. encode embedding + if embedding.shape[0] != 0: + embedding = F.normalize(embedding, dim=1) + embedding = self.spk_embed_affine_layer(embedding) + embedding = embedding.unsqueeze(dim=1) + else: + embedding = torch.zeros(1, 0, self.llm_input_size).to(device) + + # 3. concat llm_input + sos_eos_emb = self.llm_embedding.weight[self.sos_eos].reshape(1, 1, -1) + task_id_emb = self.llm_embedding.weight[self.task_id].reshape(1, 1, -1) + if prompt_speech_token_len != 0: + prompt_speech_token_emb = self.speech_embedding(prompt_speech_token) + else: + prompt_speech_token_emb = torch.zeros(1, 0, self.llm_input_size).to(device) + lm_input = torch.concat([sos_eos_emb, embedding, text, task_id_emb, prompt_speech_token_emb], dim=1) + + # 4. cal min/max_length + min_len = int((text_len - prompt_text_len) * min_token_text_ratio) + max_len = int((text_len - prompt_text_len) * max_token_text_ratio) + + # 5. step by step decode + out_tokens = [] + offset = 0 + att_cache, cnn_cache = torch.zeros((0, 0, 0, 0), device=lm_input.device), torch.zeros((0, 0, 0, 0), device=lm_input.device) + for i in range(max_len): + y_pred, att_cache, cnn_cache = self.llm.forward_chunk(lm_input, offset=0, required_cache_size=-1, att_cache=att_cache, cnn_cache=cnn_cache, + att_mask=torch.tril(torch.ones((1, lm_input.shape[1], lm_input.shape[1]), device=lm_input.device)).to(torch.bool)) + logp = self.llm_decoder(y_pred[:, -1]).log_softmax(dim=-1) + top_ids = self.sampling_ids(logp.squeeze(dim=0), sampling, beam_size, ignore_eos=True if i < min_len else False).item() + if top_ids == self.speech_token_size: + break + out_tokens.append(top_ids) + offset += lm_input.size(1) + lm_input = self.speech_embedding.weight[top_ids].reshape(1, 1, -1) + + return torch.tensor([out_tokens], dtype=torch.int64, device=device) diff --git a/CosyVoice/cosyvoice/transformer/__init__.py b/CosyVoice/cosyvoice/transformer/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/CosyVoice/cosyvoice/transformer/activation.py b/CosyVoice/cosyvoice/transformer/activation.py new file mode 100644 index 0000000000000000000000000000000000000000..8cea54816385d3b6585ccc2417bc71630d578177 --- /dev/null +++ b/CosyVoice/cosyvoice/transformer/activation.py @@ -0,0 +1,84 @@ +# Copyright (c) 2020 Johns Hopkins University (Shinji Watanabe) +# 2020 Northwestern Polytechnical University (Pengcheng Guo) +# 2020 Mobvoi Inc (Binbin Zhang) +# 2024 Alibaba Inc (Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Swish() activation function for Conformer.""" + +import torch +from torch import nn, sin, pow +from torch.nn import Parameter + + +class Swish(torch.nn.Module): + """Construct an Swish object.""" + + def forward(self, x: torch.Tensor) -> torch.Tensor: + """Return Swish activation function.""" + return x * torch.sigmoid(x) + + +# Implementation adapted from https://github.com/EdwardDixon/snake under the MIT license. +# LICENSE is in incl_licenses directory. +class Snake(nn.Module): + ''' + Implementation of a sine-based periodic activation function + Shape: + - Input: (B, C, T) + - Output: (B, C, T), same shape as the input + Parameters: + - alpha - trainable parameter + References: + - This activation function is from this paper by Liu Ziyin, Tilman Hartwig, Masahito Ueda: + https://arxiv.org/abs/2006.08195 + Examples: + >>> a1 = snake(256) + >>> x = torch.randn(256) + >>> x = a1(x) + ''' + def __init__(self, in_features, alpha=1.0, alpha_trainable=True, alpha_logscale=False): + ''' + Initialization. + INPUT: + - in_features: shape of the input + - alpha: trainable parameter + alpha is initialized to 1 by default, higher values = higher-frequency. + alpha will be trained along with the rest of your model. + ''' + super(Snake, self).__init__() + self.in_features = in_features + + # initialize alpha + self.alpha_logscale = alpha_logscale + if self.alpha_logscale: # log scale alphas initialized to zeros + self.alpha = Parameter(torch.zeros(in_features) * alpha) + else: # linear scale alphas initialized to ones + self.alpha = Parameter(torch.ones(in_features) * alpha) + + self.alpha.requires_grad = alpha_trainable + + self.no_div_by_zero = 0.000000001 + + def forward(self, x): + ''' + Forward pass of the function. + Applies the function to the input elementwise. + Snake ∶= x + 1/a * sin^2 (xa) + ''' + alpha = self.alpha.unsqueeze(0).unsqueeze(-1) # line up with x to [B, C, T] + if self.alpha_logscale: + alpha = torch.exp(alpha) + x = x + (1.0 / (alpha + self.no_div_by_zero)) * pow(sin(x * alpha), 2) + + return x diff --git a/CosyVoice/cosyvoice/transformer/attention.py b/CosyVoice/cosyvoice/transformer/attention.py new file mode 100644 index 0000000000000000000000000000000000000000..cb6723af96283e0204234cd5d5c214550b551441 --- /dev/null +++ b/CosyVoice/cosyvoice/transformer/attention.py @@ -0,0 +1,326 @@ +# Copyright (c) 2019 Shigeki Karita +# 2020 Mobvoi Inc (Binbin Zhang) +# 2022 Xingchen Song (sxc19@mails.tsinghua.edu.cn) +# 2024 Alibaba Inc (Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Multi-Head Attention layer definition.""" + +import math +from typing import Tuple + +import torch +from torch import nn + + +class MultiHeadedAttention(nn.Module): + """Multi-Head Attention layer. + + Args: + n_head (int): The number of heads. + n_feat (int): The number of features. + dropout_rate (float): Dropout rate. + + """ + + def __init__(self, + n_head: int, + n_feat: int, + dropout_rate: float, + key_bias: bool = True): + """Construct an MultiHeadedAttention object.""" + super().__init__() + assert n_feat % n_head == 0 + # We assume d_v always equals d_k + self.d_k = n_feat // n_head + self.h = n_head + self.linear_q = nn.Linear(n_feat, n_feat) + self.linear_k = nn.Linear(n_feat, n_feat, bias=key_bias) + self.linear_v = nn.Linear(n_feat, n_feat) + self.linear_out = nn.Linear(n_feat, n_feat) + self.dropout = nn.Dropout(p=dropout_rate) + + def forward_qkv( + self, query: torch.Tensor, key: torch.Tensor, value: torch.Tensor + ) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor]: + """Transform query, key and value. + + Args: + query (torch.Tensor): Query tensor (#batch, time1, size). + key (torch.Tensor): Key tensor (#batch, time2, size). + value (torch.Tensor): Value tensor (#batch, time2, size). + + Returns: + torch.Tensor: Transformed query tensor, size + (#batch, n_head, time1, d_k). + torch.Tensor: Transformed key tensor, size + (#batch, n_head, time2, d_k). + torch.Tensor: Transformed value tensor, size + (#batch, n_head, time2, d_k). + + """ + n_batch = query.size(0) + q = self.linear_q(query).view(n_batch, -1, self.h, self.d_k) + k = self.linear_k(key).view(n_batch, -1, self.h, self.d_k) + v = self.linear_v(value).view(n_batch, -1, self.h, self.d_k) + q = q.transpose(1, 2) # (batch, head, time1, d_k) + k = k.transpose(1, 2) # (batch, head, time2, d_k) + v = v.transpose(1, 2) # (batch, head, time2, d_k) + + return q, k, v + + def forward_attention( + self, + value: torch.Tensor, + scores: torch.Tensor, + mask: torch.Tensor = torch.ones((0, 0, 0), dtype=torch.bool) + ) -> torch.Tensor: + """Compute attention context vector. + + Args: + value (torch.Tensor): Transformed value, size + (#batch, n_head, time2, d_k). + scores (torch.Tensor): Attention score, size + (#batch, n_head, time1, time2). + mask (torch.Tensor): Mask, size (#batch, 1, time2) or + (#batch, time1, time2), (0, 0, 0) means fake mask. + + Returns: + torch.Tensor: Transformed value (#batch, time1, d_model) + weighted by the attention score (#batch, time1, time2). + + """ + n_batch = value.size(0) + # NOTE(xcsong): When will `if mask.size(2) > 0` be True? + # 1. onnx(16/4) [WHY? Because we feed real cache & real mask for the + # 1st chunk to ease the onnx export.] + # 2. pytorch training + if mask.size(2) > 0: # time2 > 0 + mask = mask.unsqueeze(1).eq(0) # (batch, 1, *, time2) + # For last chunk, time2 might be larger than scores.size(-1) + mask = mask[:, :, :, :scores.size(-1)] # (batch, 1, *, time2) + scores = scores.masked_fill(mask, -float('inf')) + attn = torch.softmax(scores, dim=-1).masked_fill( + mask, 0.0) # (batch, head, time1, time2) + # NOTE(xcsong): When will `if mask.size(2) > 0` be False? + # 1. onnx(16/-1, -1/-1, 16/0) + # 2. jit (16/-1, -1/-1, 16/0, 16/4) + else: + attn = torch.softmax(scores, dim=-1) # (batch, head, time1, time2) + + p_attn = self.dropout(attn) + x = torch.matmul(p_attn, value) # (batch, head, time1, d_k) + x = (x.transpose(1, 2).contiguous().view(n_batch, -1, + self.h * self.d_k) + ) # (batch, time1, d_model) + + return self.linear_out(x) # (batch, time1, d_model) + + def forward( + self, + query: torch.Tensor, + key: torch.Tensor, + value: torch.Tensor, + mask: torch.Tensor = torch.ones((0, 0, 0), dtype=torch.bool), + pos_emb: torch.Tensor = torch.empty(0), + cache: torch.Tensor = torch.zeros((0, 0, 0, 0)) + ) -> Tuple[torch.Tensor, torch.Tensor]: + """Compute scaled dot product attention. + + Args: + query (torch.Tensor): Query tensor (#batch, time1, size). + key (torch.Tensor): Key tensor (#batch, time2, size). + value (torch.Tensor): Value tensor (#batch, time2, size). + mask (torch.Tensor): Mask tensor (#batch, 1, time2) or + (#batch, time1, time2). + 1.When applying cross attention between decoder and encoder, + the batch padding mask for input is in (#batch, 1, T) shape. + 2.When applying self attention of encoder, + the mask is in (#batch, T, T) shape. + 3.When applying self attention of decoder, + the mask is in (#batch, L, L) shape. + 4.If the different position in decoder see different block + of the encoder, such as Mocha, the passed in mask could be + in (#batch, L, T) shape. But there is no such case in current + CosyVoice. + cache (torch.Tensor): Cache tensor (1, head, cache_t, d_k * 2), + where `cache_t == chunk_size * num_decoding_left_chunks` + and `head * d_k == size` + + + Returns: + torch.Tensor: Output tensor (#batch, time1, d_model). + torch.Tensor: Cache tensor (1, head, cache_t + time1, d_k * 2) + where `cache_t == chunk_size * num_decoding_left_chunks` + and `head * d_k == size` + + """ + q, k, v = self.forward_qkv(query, key, value) + + # NOTE(xcsong): + # when export onnx model, for 1st chunk, we feed + # cache(1, head, 0, d_k * 2) (16/-1, -1/-1, 16/0 mode) + # or cache(1, head, real_cache_t, d_k * 2) (16/4 mode). + # In all modes, `if cache.size(0) > 0` will alwayse be `True` + # and we will always do splitting and + # concatnation(this will simplify onnx export). Note that + # it's OK to concat & split zero-shaped tensors(see code below). + # when export jit model, for 1st chunk, we always feed + # cache(0, 0, 0, 0) since jit supports dynamic if-branch. + # >>> a = torch.ones((1, 2, 0, 4)) + # >>> b = torch.ones((1, 2, 3, 4)) + # >>> c = torch.cat((a, b), dim=2) + # >>> torch.equal(b, c) # True + # >>> d = torch.split(a, 2, dim=-1) + # >>> torch.equal(d[0], d[1]) # True + if cache.size(0) > 0: + key_cache, value_cache = torch.split(cache, + cache.size(-1) // 2, + dim=-1) + k = torch.cat([key_cache, k], dim=2) + v = torch.cat([value_cache, v], dim=2) + # NOTE(xcsong): We do cache slicing in encoder.forward_chunk, since it's + # non-trivial to calculate `next_cache_start` here. + new_cache = torch.cat((k, v), dim=-1) + + scores = torch.matmul(q, k.transpose(-2, -1)) / math.sqrt(self.d_k) + return self.forward_attention(v, scores, mask), new_cache + + +class RelPositionMultiHeadedAttention(MultiHeadedAttention): + """Multi-Head Attention layer with relative position encoding. + Paper: https://arxiv.org/abs/1901.02860 + Args: + n_head (int): The number of heads. + n_feat (int): The number of features. + dropout_rate (float): Dropout rate. + """ + + def __init__(self, + n_head: int, + n_feat: int, + dropout_rate: float, + key_bias: bool = True): + """Construct an RelPositionMultiHeadedAttention object.""" + super().__init__(n_head, n_feat, dropout_rate, key_bias) + # linear transformation for positional encoding + self.linear_pos = nn.Linear(n_feat, n_feat, bias=False) + # these two learnable bias are used in matrix c and matrix d + # as described in https://arxiv.org/abs/1901.02860 Section 3.3 + self.pos_bias_u = nn.Parameter(torch.Tensor(self.h, self.d_k)) + self.pos_bias_v = nn.Parameter(torch.Tensor(self.h, self.d_k)) + torch.nn.init.xavier_uniform_(self.pos_bias_u) + torch.nn.init.xavier_uniform_(self.pos_bias_v) + + def rel_shift(self, x): + """Compute relative positional encoding. + + Args: + x (torch.Tensor): Input tensor (batch, head, time1, 2*time1-1). + time1 means the length of query vector. + + Returns: + torch.Tensor: Output tensor. + + """ + zero_pad = torch.zeros((*x.size()[:3], 1), device=x.device, dtype=x.dtype) + x_padded = torch.cat([zero_pad, x], dim=-1) + + x_padded = x_padded.view(*x.size()[:2], x.size(3) + 1, x.size(2)) + x = x_padded[:, :, 1:].view_as(x)[ + :, :, :, : x.size(-1) // 2 + 1 + ] # only keep the positions from 0 to time2 + return x + + def forward( + self, + query: torch.Tensor, + key: torch.Tensor, + value: torch.Tensor, + mask: torch.Tensor = torch.ones((0, 0, 0), dtype=torch.bool), + pos_emb: torch.Tensor = torch.empty(0), + cache: torch.Tensor = torch.zeros((0, 0, 0, 0)) + ) -> Tuple[torch.Tensor, torch.Tensor]: + """Compute 'Scaled Dot Product Attention' with rel. positional encoding. + Args: + query (torch.Tensor): Query tensor (#batch, time1, size). + key (torch.Tensor): Key tensor (#batch, time2, size). + value (torch.Tensor): Value tensor (#batch, time2, size). + mask (torch.Tensor): Mask tensor (#batch, 1, time2) or + (#batch, time1, time2), (0, 0, 0) means fake mask. + pos_emb (torch.Tensor): Positional embedding tensor + (#batch, time2, size). + cache (torch.Tensor): Cache tensor (1, head, cache_t, d_k * 2), + where `cache_t == chunk_size * num_decoding_left_chunks` + and `head * d_k == size` + Returns: + torch.Tensor: Output tensor (#batch, time1, d_model). + torch.Tensor: Cache tensor (1, head, cache_t + time1, d_k * 2) + where `cache_t == chunk_size * num_decoding_left_chunks` + and `head * d_k == size` + """ + q, k, v = self.forward_qkv(query, key, value) + q = q.transpose(1, 2) # (batch, time1, head, d_k) + + # NOTE(xcsong): + # when export onnx model, for 1st chunk, we feed + # cache(1, head, 0, d_k * 2) (16/-1, -1/-1, 16/0 mode) + # or cache(1, head, real_cache_t, d_k * 2) (16/4 mode). + # In all modes, `if cache.size(0) > 0` will alwayse be `True` + # and we will always do splitting and + # concatnation(this will simplify onnx export). Note that + # it's OK to concat & split zero-shaped tensors(see code below). + # when export jit model, for 1st chunk, we always feed + # cache(0, 0, 0, 0) since jit supports dynamic if-branch. + # >>> a = torch.ones((1, 2, 0, 4)) + # >>> b = torch.ones((1, 2, 3, 4)) + # >>> c = torch.cat((a, b), dim=2) + # >>> torch.equal(b, c) # True + # >>> d = torch.split(a, 2, dim=-1) + # >>> torch.equal(d[0], d[1]) # True + if cache.size(0) > 0: + key_cache, value_cache = torch.split(cache, + cache.size(-1) // 2, + dim=-1) + k = torch.cat([key_cache, k], dim=2) + v = torch.cat([value_cache, v], dim=2) + # NOTE(xcsong): We do cache slicing in encoder.forward_chunk, since it's + # non-trivial to calculate `next_cache_start` here. + new_cache = torch.cat((k, v), dim=-1) + + n_batch_pos = pos_emb.size(0) + p = self.linear_pos(pos_emb).view(n_batch_pos, -1, self.h, self.d_k) + p = p.transpose(1, 2) # (batch, head, time1, d_k) + + # (batch, head, time1, d_k) + q_with_bias_u = (q + self.pos_bias_u).transpose(1, 2) + # (batch, head, time1, d_k) + q_with_bias_v = (q + self.pos_bias_v).transpose(1, 2) + + # compute attention score + # first compute matrix a and matrix c + # as described in https://arxiv.org/abs/1901.02860 Section 3.3 + # (batch, head, time1, time2) + matrix_ac = torch.matmul(q_with_bias_u, k.transpose(-2, -1)) + + # compute matrix b and matrix d + # (batch, head, time1, time2) + matrix_bd = torch.matmul(q_with_bias_v, p.transpose(-2, -1)) + # NOTE(Xiang Lyu): Keep rel_shift since espnet rel_pos_emb is used + if matrix_ac.shape != matrix_bd.shape: + matrix_bd = self.rel_shift(matrix_bd) + + scores = (matrix_ac + matrix_bd) / math.sqrt( + self.d_k) # (batch, head, time1, time2) + + return self.forward_attention(v, scores, mask), new_cache diff --git a/CosyVoice/cosyvoice/transformer/convolution.py b/CosyVoice/cosyvoice/transformer/convolution.py new file mode 100644 index 0000000000000000000000000000000000000000..4d5d96149154776000991a681a666fbe55e562fe --- /dev/null +++ b/CosyVoice/cosyvoice/transformer/convolution.py @@ -0,0 +1,145 @@ +# Copyright (c) 2020 Mobvoi Inc. (authors: Binbin Zhang, Di Wu) +# 2024 Alibaba Inc (Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# Modified from ESPnet(https://github.com/espnet/espnet) +"""ConvolutionModule definition.""" + +from typing import Tuple + +import torch +from torch import nn + + +class ConvolutionModule(nn.Module): + """ConvolutionModule in Conformer model.""" + + def __init__(self, + channels: int, + kernel_size: int = 15, + activation: nn.Module = nn.ReLU(), + norm: str = "batch_norm", + causal: bool = False, + bias: bool = True): + """Construct an ConvolutionModule object. + Args: + channels (int): The number of channels of conv layers. + kernel_size (int): Kernel size of conv layers. + causal (int): Whether use causal convolution or not + """ + super().__init__() + + self.pointwise_conv1 = nn.Conv1d( + channels, + 2 * channels, + kernel_size=1, + stride=1, + padding=0, + bias=bias, + ) + # self.lorder is used to distinguish if it's a causal convolution, + # if self.lorder > 0: it's a causal convolution, the input will be + # padded with self.lorder frames on the left in forward. + # else: it's a symmetrical convolution + if causal: + padding = 0 + self.lorder = kernel_size - 1 + else: + # kernel_size should be an odd number for none causal convolution + assert (kernel_size - 1) % 2 == 0 + padding = (kernel_size - 1) // 2 + self.lorder = 0 + self.depthwise_conv = nn.Conv1d( + channels, + channels, + kernel_size, + stride=1, + padding=padding, + groups=channels, + bias=bias, + ) + + assert norm in ['batch_norm', 'layer_norm'] + if norm == "batch_norm": + self.use_layer_norm = False + self.norm = nn.BatchNorm1d(channels) + else: + self.use_layer_norm = True + self.norm = nn.LayerNorm(channels) + + self.pointwise_conv2 = nn.Conv1d( + channels, + channels, + kernel_size=1, + stride=1, + padding=0, + bias=bias, + ) + self.activation = activation + + def forward( + self, + x: torch.Tensor, + mask_pad: torch.Tensor = torch.ones((0, 0, 0), dtype=torch.bool), + cache: torch.Tensor = torch.zeros((0, 0, 0)), + ) -> Tuple[torch.Tensor, torch.Tensor]: + """Compute convolution module. + Args: + x (torch.Tensor): Input tensor (#batch, time, channels). + mask_pad (torch.Tensor): used for batch padding (#batch, 1, time), + (0, 0, 0) means fake mask. + cache (torch.Tensor): left context cache, it is only + used in causal convolution (#batch, channels, cache_t), + (0, 0, 0) meas fake cache. + Returns: + torch.Tensor: Output tensor (#batch, time, channels). + """ + # exchange the temporal dimension and the feature dimension + x = x.transpose(1, 2) # (#batch, channels, time) + + # mask batch padding + if mask_pad.size(2) > 0: # time > 0 + x.masked_fill_(~mask_pad, 0.0) + + if self.lorder > 0: + if cache.size(2) == 0: # cache_t == 0 + x = nn.functional.pad(x, (self.lorder, 0), 'constant', 0.0) + else: + assert cache.size(0) == x.size(0) # equal batch + assert cache.size(1) == x.size(1) # equal channel + x = torch.cat((cache, x), dim=2) + assert (x.size(2) > self.lorder) + new_cache = x[:, :, -self.lorder:] + else: + # It's better we just return None if no cache is required, + # However, for JIT export, here we just fake one tensor instead of + # None. + new_cache = torch.zeros((0, 0, 0), dtype=x.dtype, device=x.device) + + # GLU mechanism + x = self.pointwise_conv1(x) # (batch, 2*channel, dim) + x = nn.functional.glu(x, dim=1) # (batch, channel, dim) + + # 1D Depthwise Conv + x = self.depthwise_conv(x) + if self.use_layer_norm: + x = x.transpose(1, 2) + x = self.activation(self.norm(x)) + if self.use_layer_norm: + x = x.transpose(1, 2) + x = self.pointwise_conv2(x) + # mask batch padding + if mask_pad.size(2) > 0: # time > 0 + x.masked_fill_(~mask_pad, 0.0) + + return x.transpose(1, 2), new_cache diff --git a/CosyVoice/cosyvoice/transformer/decoder.py b/CosyVoice/cosyvoice/transformer/decoder.py new file mode 100644 index 0000000000000000000000000000000000000000..961c875eab519f7a9e8a6e56720dc878b7852372 --- /dev/null +++ b/CosyVoice/cosyvoice/transformer/decoder.py @@ -0,0 +1,396 @@ +# Copyright (c) 2021 Mobvoi Inc. (authors: Binbin Zhang, Di Wu) +# 2024 Alibaba Inc (Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# Modified from ESPnet(https://github.com/espnet/espnet) +"""Decoder definition.""" +from typing import Tuple, List, Optional + +import torch +import torch.utils.checkpoint as ckpt +import logging + +from cosyvoice.transformer.decoder_layer import DecoderLayer +from cosyvoice.transformer.positionwise_feed_forward import PositionwiseFeedForward +from cosyvoice.utils.class_utils import ( + COSYVOICE_EMB_CLASSES, + COSYVOICE_ATTENTION_CLASSES, + COSYVOICE_ACTIVATION_CLASSES, +) +from cosyvoice.utils.mask import (subsequent_mask, make_pad_mask) + + +class TransformerDecoder(torch.nn.Module): + """Base class of Transfomer decoder module. + Args: + vocab_size: output dim + encoder_output_size: dimension of attention + attention_heads: the number of heads of multi head attention + linear_units: the hidden units number of position-wise feedforward + num_blocks: the number of decoder blocks + dropout_rate: dropout rate + self_attention_dropout_rate: dropout rate for attention + input_layer: input layer type + use_output_layer: whether to use output layer + pos_enc_class: PositionalEncoding or ScaledPositionalEncoding + normalize_before: + True: use layer_norm before each sub-block of a layer. + False: use layer_norm after each sub-block of a layer. + src_attention: if false, encoder-decoder cross attention is not + applied, such as CIF model + key_bias: whether use bias in attention.linear_k, False for whisper models. + gradient_checkpointing: rerunning a forward-pass segment for each + checkpointed segment during backward. + tie_word_embedding: Tie or clone module weights depending of whether we are + using TorchScript or not + """ + + def __init__( + self, + vocab_size: int, + encoder_output_size: int, + attention_heads: int = 4, + linear_units: int = 2048, + num_blocks: int = 6, + dropout_rate: float = 0.1, + positional_dropout_rate: float = 0.1, + self_attention_dropout_rate: float = 0.0, + src_attention_dropout_rate: float = 0.0, + input_layer: str = "embed", + use_output_layer: bool = True, + normalize_before: bool = True, + src_attention: bool = True, + key_bias: bool = True, + activation_type: str = "relu", + gradient_checkpointing: bool = False, + tie_word_embedding: bool = False, + ): + super().__init__() + attention_dim = encoder_output_size + activation = COSYVOICE_ACTIVATION_CLASSES[activation_type]() + + self.embed = torch.nn.Sequential( + torch.nn.Identity() if input_layer == "no_pos" else + torch.nn.Embedding(vocab_size, attention_dim), + COSYVOICE_EMB_CLASSES[input_layer](attention_dim, + positional_dropout_rate), + ) + + self.normalize_before = normalize_before + self.after_norm = torch.nn.LayerNorm(attention_dim, eps=1e-5) + self.use_output_layer = use_output_layer + if use_output_layer: + self.output_layer = torch.nn.Linear(attention_dim, vocab_size) + else: + self.output_layer = torch.nn.Identity() + self.num_blocks = num_blocks + self.decoders = torch.nn.ModuleList([ + DecoderLayer( + attention_dim, + COSYVOICE_ATTENTION_CLASSES["selfattn"]( + attention_heads, attention_dim, + self_attention_dropout_rate, key_bias), + COSYVOICE_ATTENTION_CLASSES["selfattn"]( + attention_heads, attention_dim, src_attention_dropout_rate, + key_bias) if src_attention else None, + PositionwiseFeedForward(attention_dim, linear_units, + dropout_rate, activation), + dropout_rate, + normalize_before, + ) for _ in range(self.num_blocks) + ]) + + self.gradient_checkpointing = gradient_checkpointing + self.tie_word_embedding = tie_word_embedding + + def forward( + self, + memory: torch.Tensor, + memory_mask: torch.Tensor, + ys_in_pad: torch.Tensor, + ys_in_lens: torch.Tensor, + r_ys_in_pad: torch.Tensor = torch.empty(0), + reverse_weight: float = 0.0, + ) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor]: + """Forward decoder. + Args: + memory: encoded memory, float32 (batch, maxlen_in, feat) + memory_mask: encoder memory mask, (batch, 1, maxlen_in) + ys_in_pad: padded input token ids, int64 (batch, maxlen_out) + ys_in_lens: input lengths of this batch (batch) + r_ys_in_pad: not used in transformer decoder, in order to unify api + with bidirectional decoder + reverse_weight: not used in transformer decoder, in order to unify + api with bidirectional decode + Returns: + (tuple): tuple containing: + x: decoded token score before softmax (batch, maxlen_out, + vocab_size) if use_output_layer is True, + torch.tensor(0.0), in order to unify api with bidirectional decoder + olens: (batch, ) + NOTE(xcsong): + We pass the `__call__` method of the modules instead of `forward` to the + checkpointing API because `__call__` attaches all the hooks of the module. + https://discuss.pytorch.org/t/any-different-between-model-input-and-model-forward-input/3690/2 + """ + tgt = ys_in_pad + maxlen = tgt.size(1) + # tgt_mask: (B, 1, L) + tgt_mask = ~make_pad_mask(ys_in_lens, maxlen).unsqueeze(1) + tgt_mask = tgt_mask.to(tgt.device) + # m: (1, L, L) + m = subsequent_mask(tgt_mask.size(-1), + device=tgt_mask.device).unsqueeze(0) + # tgt_mask: (B, L, L) + tgt_mask = tgt_mask & m + x, _ = self.embed(tgt) + if self.gradient_checkpointing and self.training: + x = self.forward_layers_checkpointed(x, tgt_mask, memory, + memory_mask) + else: + x = self.forward_layers(x, tgt_mask, memory, memory_mask) + if self.normalize_before: + x = self.after_norm(x) + if self.use_output_layer: + x = self.output_layer(x) + olens = tgt_mask.sum(1) + return x, torch.tensor(0.0), olens + + def forward_layers(self, x: torch.Tensor, tgt_mask: torch.Tensor, + memory: torch.Tensor, + memory_mask: torch.Tensor) -> torch.Tensor: + for layer in self.decoders: + x, tgt_mask, memory, memory_mask = layer(x, tgt_mask, memory, + memory_mask) + return x + + @torch.jit.ignore(drop=True) + def forward_layers_checkpointed(self, x: torch.Tensor, + tgt_mask: torch.Tensor, + memory: torch.Tensor, + memory_mask: torch.Tensor) -> torch.Tensor: + for layer in self.decoders: + x, tgt_mask, memory, memory_mask = ckpt.checkpoint( + layer.__call__, x, tgt_mask, memory, memory_mask) + return x + + def forward_one_step( + self, + memory: torch.Tensor, + memory_mask: torch.Tensor, + tgt: torch.Tensor, + tgt_mask: torch.Tensor, + cache: Optional[List[torch.Tensor]] = None, + ) -> Tuple[torch.Tensor, List[torch.Tensor]]: + """Forward one step. + This is only used for decoding. + Args: + memory: encoded memory, float32 (batch, maxlen_in, feat) + memory_mask: encoded memory mask, (batch, 1, maxlen_in) + tgt: input token ids, int64 (batch, maxlen_out) + tgt_mask: input token mask, (batch, maxlen_out) + dtype=torch.uint8 in PyTorch 1.2- + dtype=torch.bool in PyTorch 1.2+ (include 1.2) + cache: cached output list of (batch, max_time_out-1, size) + Returns: + y, cache: NN output value and cache per `self.decoders`. + y.shape` is (batch, maxlen_out, token) + """ + x, _ = self.embed(tgt) + new_cache = [] + for i, decoder in enumerate(self.decoders): + if cache is None: + c = None + else: + c = cache[i] + x, tgt_mask, memory, memory_mask = decoder(x, + tgt_mask, + memory, + memory_mask, + cache=c) + new_cache.append(x) + if self.normalize_before: + y = self.after_norm(x[:, -1]) + else: + y = x[:, -1] + if self.use_output_layer: + y = torch.log_softmax(self.output_layer(y), dim=-1) + return y, new_cache + + def tie_or_clone_weights(self, jit_mode: bool = True): + """Tie or clone module weights (between word_emb and output_layer) + depending of whether we are using TorchScript or not""" + if not self.use_output_layer: + return + if jit_mode: + logging.info("clone emb.weight to output.weight") + self.output_layer.weight = torch.nn.Parameter( + self.embed[0].weight.clone()) + else: + logging.info("tie emb.weight with output.weight") + self.output_layer.weight = self.embed[0].weight + + if getattr(self.output_layer, "bias", None) is not None: + self.output_layer.bias.data = torch.nn.functional.pad( + self.output_layer.bias.data, + ( + 0, + self.output_layer.weight.shape[0] - + self.output_layer.bias.shape[0], + ), + "constant", + 0, + ) + + +class BiTransformerDecoder(torch.nn.Module): + """Base class of Transfomer decoder module. + Args: + vocab_size: output dim + encoder_output_size: dimension of attention + attention_heads: the number of heads of multi head attention + linear_units: the hidden units number of position-wise feedforward + num_blocks: the number of decoder blocks + r_num_blocks: the number of right to left decoder blocks + dropout_rate: dropout rate + self_attention_dropout_rate: dropout rate for attention + input_layer: input layer type + use_output_layer: whether to use output layer + pos_enc_class: PositionalEncoding or ScaledPositionalEncoding + normalize_before: + True: use layer_norm before each sub-block of a layer. + False: use layer_norm after each sub-block of a layer. + key_bias: whether use bias in attention.linear_k, False for whisper models. + """ + + def __init__( + self, + vocab_size: int, + encoder_output_size: int, + attention_heads: int = 4, + linear_units: int = 2048, + num_blocks: int = 6, + r_num_blocks: int = 0, + dropout_rate: float = 0.1, + positional_dropout_rate: float = 0.1, + self_attention_dropout_rate: float = 0.0, + src_attention_dropout_rate: float = 0.0, + input_layer: str = "embed", + use_output_layer: bool = True, + normalize_before: bool = True, + key_bias: bool = True, + gradient_checkpointing: bool = False, + tie_word_embedding: bool = False, + ): + + super().__init__() + self.tie_word_embedding = tie_word_embedding + self.left_decoder = TransformerDecoder( + vocab_size, + encoder_output_size, + attention_heads, + linear_units, + num_blocks, + dropout_rate, + positional_dropout_rate, + self_attention_dropout_rate, + src_attention_dropout_rate, + input_layer, + use_output_layer, + normalize_before, + key_bias=key_bias, + gradient_checkpointing=gradient_checkpointing, + tie_word_embedding=tie_word_embedding) + + self.right_decoder = TransformerDecoder( + vocab_size, + encoder_output_size, + attention_heads, + linear_units, + r_num_blocks, + dropout_rate, + positional_dropout_rate, + self_attention_dropout_rate, + src_attention_dropout_rate, + input_layer, + use_output_layer, + normalize_before, + key_bias=key_bias, + gradient_checkpointing=gradient_checkpointing, + tie_word_embedding=tie_word_embedding) + + def forward( + self, + memory: torch.Tensor, + memory_mask: torch.Tensor, + ys_in_pad: torch.Tensor, + ys_in_lens: torch.Tensor, + r_ys_in_pad: torch.Tensor, + reverse_weight: float = 0.0, + ) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor]: + """Forward decoder. + Args: + memory: encoded memory, float32 (batch, maxlen_in, feat) + memory_mask: encoder memory mask, (batch, 1, maxlen_in) + ys_in_pad: padded input token ids, int64 (batch, maxlen_out) + ys_in_lens: input lengths of this batch (batch) + r_ys_in_pad: padded input token ids, int64 (batch, maxlen_out), + used for right to left decoder + reverse_weight: used for right to left decoder + Returns: + (tuple): tuple containing: + x: decoded token score before softmax (batch, maxlen_out, + vocab_size) if use_output_layer is True, + r_x: x: decoded token score (right to left decoder) + before softmax (batch, maxlen_out, vocab_size) + if use_output_layer is True, + olens: (batch, ) + """ + l_x, _, olens = self.left_decoder(memory, memory_mask, ys_in_pad, + ys_in_lens) + r_x = torch.tensor(0.0) + if reverse_weight > 0.0: + r_x, _, olens = self.right_decoder(memory, memory_mask, + r_ys_in_pad, ys_in_lens) + return l_x, r_x, olens + + def forward_one_step( + self, + memory: torch.Tensor, + memory_mask: torch.Tensor, + tgt: torch.Tensor, + tgt_mask: torch.Tensor, + cache: Optional[List[torch.Tensor]] = None, + ) -> Tuple[torch.Tensor, List[torch.Tensor]]: + """Forward one step. + This is only used for decoding. + Args: + memory: encoded memory, float32 (batch, maxlen_in, feat) + memory_mask: encoded memory mask, (batch, 1, maxlen_in) + tgt: input token ids, int64 (batch, maxlen_out) + tgt_mask: input token mask, (batch, maxlen_out) + dtype=torch.uint8 in PyTorch 1.2- + dtype=torch.bool in PyTorch 1.2+ (include 1.2) + cache: cached output list of (batch, max_time_out-1, size) + Returns: + y, cache: NN output value and cache per `self.decoders`. + y.shape` is (batch, maxlen_out, token) + """ + return self.left_decoder.forward_one_step(memory, memory_mask, tgt, + tgt_mask, cache) + + def tie_or_clone_weights(self, jit_mode: bool = True): + """Tie or clone module weights (between word_emb and output_layer) + depending of whether we are using TorchScript or not""" + self.left_decoder.tie_or_clone_weights(jit_mode) + self.right_decoder.tie_or_clone_weights(jit_mode) diff --git a/CosyVoice/cosyvoice/transformer/decoder_layer.py b/CosyVoice/cosyvoice/transformer/decoder_layer.py new file mode 100644 index 0000000000000000000000000000000000000000..91c7c5d7fb2a8e79cea7705646e5381016f73466 --- /dev/null +++ b/CosyVoice/cosyvoice/transformer/decoder_layer.py @@ -0,0 +1,132 @@ +# Copyright (c) 2019 Shigeki Karita +# 2020 Mobvoi Inc (Binbin Zhang) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Decoder self-attention layer definition.""" +from typing import Optional, Tuple + +import torch +from torch import nn + + +class DecoderLayer(nn.Module): + """Single decoder layer module. + + Args: + size (int): Input dimension. + self_attn (torch.nn.Module): Self-attention module instance. + `MultiHeadedAttention` instance can be used as the argument. + src_attn (torch.nn.Module): Inter-attention module instance. + `MultiHeadedAttention` instance can be used as the argument. + If `None` is passed, Inter-attention is not used, such as + CIF, GPT, and other decoder only model. + feed_forward (torch.nn.Module): Feed-forward module instance. + `PositionwiseFeedForward` instance can be used as the argument. + dropout_rate (float): Dropout rate. + normalize_before (bool): + True: use layer_norm before each sub-block. + False: to use layer_norm after each sub-block. + """ + + def __init__( + self, + size: int, + self_attn: nn.Module, + src_attn: Optional[nn.Module], + feed_forward: nn.Module, + dropout_rate: float, + normalize_before: bool = True, + ): + """Construct an DecoderLayer object.""" + super().__init__() + self.size = size + self.self_attn = self_attn + self.src_attn = src_attn + self.feed_forward = feed_forward + self.norm1 = nn.LayerNorm(size, eps=1e-5) + self.norm2 = nn.LayerNorm(size, eps=1e-5) + self.norm3 = nn.LayerNorm(size, eps=1e-5) + self.dropout = nn.Dropout(dropout_rate) + self.normalize_before = normalize_before + + def forward( + self, + tgt: torch.Tensor, + tgt_mask: torch.Tensor, + memory: torch.Tensor, + memory_mask: torch.Tensor, + cache: Optional[torch.Tensor] = None + ) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor]: + """Compute decoded features. + + Args: + tgt (torch.Tensor): Input tensor (#batch, maxlen_out, size). + tgt_mask (torch.Tensor): Mask for input tensor + (#batch, maxlen_out). + memory (torch.Tensor): Encoded memory + (#batch, maxlen_in, size). + memory_mask (torch.Tensor): Encoded memory mask + (#batch, maxlen_in). + cache (torch.Tensor): cached tensors. + (#batch, maxlen_out - 1, size). + + Returns: + torch.Tensor: Output tensor (#batch, maxlen_out, size). + torch.Tensor: Mask for output tensor (#batch, maxlen_out). + torch.Tensor: Encoded memory (#batch, maxlen_in, size). + torch.Tensor: Encoded memory mask (#batch, maxlen_in). + + """ + residual = tgt + if self.normalize_before: + tgt = self.norm1(tgt) + + if cache is None: + tgt_q = tgt + tgt_q_mask = tgt_mask + else: + # compute only the last frame query keeping dim: max_time_out -> 1 + assert cache.shape == ( + tgt.shape[0], + tgt.shape[1] - 1, + self.size, + ), "{cache.shape} == {(tgt.shape[0], tgt.shape[1] - 1, self.size)}" + tgt_q = tgt[:, -1:, :] + residual = residual[:, -1:, :] + tgt_q_mask = tgt_mask[:, -1:, :] + + x = residual + self.dropout( + self.self_attn(tgt_q, tgt, tgt, tgt_q_mask)[0]) + if not self.normalize_before: + x = self.norm1(x) + + if self.src_attn is not None: + residual = x + if self.normalize_before: + x = self.norm2(x) + x = residual + self.dropout( + self.src_attn(x, memory, memory, memory_mask)[0]) + if not self.normalize_before: + x = self.norm2(x) + + residual = x + if self.normalize_before: + x = self.norm3(x) + x = residual + self.dropout(self.feed_forward(x)) + if not self.normalize_before: + x = self.norm3(x) + + if cache is not None: + x = torch.cat([cache, x], dim=1) + + return x, tgt_mask, memory, memory_mask diff --git a/CosyVoice/cosyvoice/transformer/embedding.py b/CosyVoice/cosyvoice/transformer/embedding.py new file mode 100644 index 0000000000000000000000000000000000000000..46130a503f72f103e09d3392077ed352368ce54f --- /dev/null +++ b/CosyVoice/cosyvoice/transformer/embedding.py @@ -0,0 +1,293 @@ +# Copyright (c) 2020 Mobvoi Inc. (authors: Binbin Zhang, Di Wu) +# 2024 Alibaba Inc (Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# Modified from ESPnet(https://github.com/espnet/espnet) +"""Positonal Encoding Module.""" + +import math +from typing import Tuple, Union + +import torch +import torch.nn.functional as F +import numpy as np + + +class PositionalEncoding(torch.nn.Module): + """Positional encoding. + + :param int d_model: embedding dim + :param float dropout_rate: dropout rate + :param int max_len: maximum input length + + PE(pos, 2i) = sin(pos/(10000^(2i/dmodel))) + PE(pos, 2i+1) = cos(pos/(10000^(2i/dmodel))) + """ + + def __init__(self, + d_model: int, + dropout_rate: float, + max_len: int = 5000, + reverse: bool = False): + """Construct an PositionalEncoding object.""" + super().__init__() + self.d_model = d_model + self.xscale = math.sqrt(self.d_model) + self.dropout = torch.nn.Dropout(p=dropout_rate) + self.max_len = max_len + + self.pe = torch.zeros(self.max_len, self.d_model) + position = torch.arange(0, self.max_len, + dtype=torch.float32).unsqueeze(1) + div_term = torch.exp( + torch.arange(0, self.d_model, 2, dtype=torch.float32) * + -(math.log(10000.0) / self.d_model)) + self.pe[:, 0::2] = torch.sin(position * div_term) + self.pe[:, 1::2] = torch.cos(position * div_term) + self.pe = self.pe.unsqueeze(0) + + def forward(self, + x: torch.Tensor, + offset: Union[int, torch.Tensor] = 0) \ + -> Tuple[torch.Tensor, torch.Tensor]: + """Add positional encoding. + + Args: + x (torch.Tensor): Input. Its shape is (batch, time, ...) + offset (int, torch.tensor): position offset + + Returns: + torch.Tensor: Encoded tensor. Its shape is (batch, time, ...) + torch.Tensor: for compatibility to RelPositionalEncoding + """ + + self.pe = self.pe.to(x.device) + pos_emb = self.position_encoding(offset, x.size(1), False) + x = x * self.xscale + pos_emb + return self.dropout(x), self.dropout(pos_emb) + + def position_encoding(self, + offset: Union[int, torch.Tensor], + size: int, + apply_dropout: bool = True) -> torch.Tensor: + """ For getting encoding in a streaming fashion + + Attention!!!!! + we apply dropout only once at the whole utterance level in a none + streaming way, but will call this function several times with + increasing input size in a streaming scenario, so the dropout will + be applied several times. + + Args: + offset (int or torch.tensor): start offset + size (int): required size of position encoding + + Returns: + torch.Tensor: Corresponding encoding + """ + # How to subscript a Union type: + # https://github.com/pytorch/pytorch/issues/69434 + if isinstance(offset, int): + assert offset + size <= self.max_len + pos_emb = self.pe[:, offset:offset + size] + elif isinstance(offset, torch.Tensor) and offset.dim() == 0: # scalar + assert offset + size <= self.max_len + pos_emb = self.pe[:, offset:offset + size] + else: # for batched streaming decoding on GPU + assert torch.max(offset) + size <= self.max_len + index = offset.unsqueeze(1) + \ + torch.arange(0, size).to(offset.device) # B X T + flag = index > 0 + # remove negative offset + index = index * flag + pos_emb = F.embedding(index, self.pe[0]) # B X T X d_model + + if apply_dropout: + pos_emb = self.dropout(pos_emb) + return pos_emb + + +class RelPositionalEncoding(PositionalEncoding): + """Relative positional encoding module. + See : Appendix B in https://arxiv.org/abs/1901.02860 + Args: + d_model (int): Embedding dimension. + dropout_rate (float): Dropout rate. + max_len (int): Maximum input length. + """ + + def __init__(self, d_model: int, dropout_rate: float, max_len: int = 5000): + """Initialize class.""" + super().__init__(d_model, dropout_rate, max_len, reverse=True) + + def forward(self, + x: torch.Tensor, + offset: Union[int, torch.Tensor] = 0) \ + -> Tuple[torch.Tensor, torch.Tensor]: + """Compute positional encoding. + Args: + x (torch.Tensor): Input tensor (batch, time, `*`). + Returns: + torch.Tensor: Encoded tensor (batch, time, `*`). + torch.Tensor: Positional embedding tensor (1, time, `*`). + """ + self.pe = self.pe.to(x.device) + x = x * self.xscale + pos_emb = self.position_encoding(offset, x.size(1), False) + return self.dropout(x), self.dropout(pos_emb) + + +class WhisperPositionalEncoding(PositionalEncoding): + """ Sinusoids position encoding used in openai-whisper.encoder + """ + + def __init__(self, d_model: int, dropout_rate: float, max_len: int = 1500): + super().__init__(d_model, dropout_rate, max_len) + self.xscale = 1.0 + log_timescale_increment = np.log(10000) / (d_model // 2 - 1) + inv_timescales = torch.exp(-log_timescale_increment * + torch.arange(d_model // 2)) + scaled_time = torch.arange(max_len)[:, np.newaxis] * \ + inv_timescales[np.newaxis, :] + pe = torch.cat([torch.sin(scaled_time), torch.cos(scaled_time)], dim=1) + delattr(self, "pe") + self.register_buffer("pe", pe.unsqueeze(0)) + + +class LearnablePositionalEncoding(PositionalEncoding): + """ Learnable position encoding used in openai-whisper.decoder + """ + + def __init__(self, d_model: int, dropout_rate: float, max_len: int = 448): + super().__init__(d_model, dropout_rate, max_len) + # NOTE(xcsong): overwrite self.pe & self.xscale + self.pe = torch.nn.Parameter(torch.empty(1, max_len, d_model)) + self.xscale = 1.0 + + +class NoPositionalEncoding(torch.nn.Module): + """ No position encoding + """ + + def __init__(self, d_model: int, dropout_rate: float): + super().__init__() + self.d_model = d_model + self.dropout = torch.nn.Dropout(p=dropout_rate) + + def forward(self, + x: torch.Tensor, + offset: Union[int, torch.Tensor] = 0) \ + -> Tuple[torch.Tensor, torch.Tensor]: + """ Just return zero vector for interface compatibility + """ + pos_emb = torch.zeros(1, x.size(1), self.d_model).to(x.device) + return self.dropout(x), pos_emb + + def position_encoding(self, offset: Union[int, torch.Tensor], + size: int) -> torch.Tensor: + return torch.zeros(1, size, self.d_model) + + +class EspnetRelPositionalEncoding(torch.nn.Module): + """Relative positional encoding module (new implementation). + + Details can be found in https://github.com/espnet/espnet/pull/2816. + + See : Appendix B in https://arxiv.org/abs/1901.02860 + + Args: + d_model (int): Embedding dimension. + dropout_rate (float): Dropout rate. + max_len (int): Maximum input length. + + """ + + def __init__(self, d_model, dropout_rate, max_len=5000): + """Construct an PositionalEncoding object.""" + super(EspnetRelPositionalEncoding, self).__init__() + self.d_model = d_model + self.xscale = math.sqrt(self.d_model) + self.dropout = torch.nn.Dropout(p=dropout_rate) + self.pe = None + self.extend_pe(torch.tensor(0.0).expand(1, max_len)) + + def extend_pe(self, x): + """Reset the positional encodings.""" + if self.pe is not None: + # self.pe contains both positive and negative parts + # the length of self.pe is 2 * input_len - 1 + if self.pe.size(1) >= x.size(1) * 2 - 1: + if self.pe.dtype != x.dtype or self.pe.device != x.device: + self.pe = self.pe.to(dtype=x.dtype, device=x.device) + return + # Suppose `i` means to the position of query vecotr and `j` means the + # position of key vector. We use position relative positions when keys + # are to the left (i>j) and negative relative positions otherwise (i torch.Tensor: + """ For getting encoding in a streaming fashion + + Attention!!!!! + we apply dropout only once at the whole utterance level in a none + streaming way, but will call this function several times with + increasing input size in a streaming scenario, so the dropout will + be applied several times. + + Args: + offset (int or torch.tensor): start offset + size (int): required size of position encoding + + Returns: + torch.Tensor: Corresponding encoding + """ + pos_emb = self.pe[ + :, + self.pe.size(1) // 2 - size + 1 : self.pe.size(1) // 2 + size, + ] + return pos_emb diff --git a/CosyVoice/cosyvoice/transformer/encoder.py b/CosyVoice/cosyvoice/transformer/encoder.py new file mode 100644 index 0000000000000000000000000000000000000000..7e8bd230b28c7f55c809a75b6f722a92d7ea089f --- /dev/null +++ b/CosyVoice/cosyvoice/transformer/encoder.py @@ -0,0 +1,472 @@ +# Copyright (c) 2021 Mobvoi Inc (Binbin Zhang, Di Wu) +# 2022 Xingchen Song (sxc19@mails.tsinghua.edu.cn) +# 2024 Alibaba Inc (Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# Modified from ESPnet(https://github.com/espnet/espnet) +"""Encoder definition.""" +from typing import Tuple + +import torch +import torch.utils.checkpoint as ckpt + +from cosyvoice.transformer.convolution import ConvolutionModule +from cosyvoice.transformer.encoder_layer import TransformerEncoderLayer +from cosyvoice.transformer.encoder_layer import ConformerEncoderLayer +from cosyvoice.transformer.positionwise_feed_forward import PositionwiseFeedForward +from cosyvoice.utils.class_utils import ( + COSYVOICE_EMB_CLASSES, + COSYVOICE_SUBSAMPLE_CLASSES, + COSYVOICE_ATTENTION_CLASSES, + COSYVOICE_ACTIVATION_CLASSES, +) +from cosyvoice.utils.mask import make_pad_mask +from cosyvoice.utils.mask import add_optional_chunk_mask + + +class BaseEncoder(torch.nn.Module): + + def __init__( + self, + input_size: int, + output_size: int = 256, + attention_heads: int = 4, + linear_units: int = 2048, + num_blocks: int = 6, + dropout_rate: float = 0.1, + positional_dropout_rate: float = 0.1, + attention_dropout_rate: float = 0.0, + input_layer: str = "conv2d", + pos_enc_layer_type: str = "abs_pos", + normalize_before: bool = True, + static_chunk_size: int = 0, + use_dynamic_chunk: bool = False, + global_cmvn: torch.nn.Module = None, + use_dynamic_left_chunk: bool = False, + gradient_checkpointing: bool = False, + ): + """ + Args: + input_size (int): input dim + output_size (int): dimension of attention + attention_heads (int): the number of heads of multi head attention + linear_units (int): the hidden units number of position-wise feed + forward + num_blocks (int): the number of decoder blocks + dropout_rate (float): dropout rate + attention_dropout_rate (float): dropout rate in attention + positional_dropout_rate (float): dropout rate after adding + positional encoding + input_layer (str): input layer type. + optional [linear, conv2d, conv2d6, conv2d8] + pos_enc_layer_type (str): Encoder positional encoding layer type. + opitonal [abs_pos, scaled_abs_pos, rel_pos, no_pos] + normalize_before (bool): + True: use layer_norm before each sub-block of a layer. + False: use layer_norm after each sub-block of a layer. + static_chunk_size (int): chunk size for static chunk training and + decoding + use_dynamic_chunk (bool): whether use dynamic chunk size for + training or not, You can only use fixed chunk(chunk_size > 0) + or dyanmic chunk size(use_dynamic_chunk = True) + global_cmvn (Optional[torch.nn.Module]): Optional GlobalCMVN module + use_dynamic_left_chunk (bool): whether use dynamic left chunk in + dynamic chunk training + key_bias: whether use bias in attention.linear_k, False for whisper models. + gradient_checkpointing: rerunning a forward-pass segment for each + checkpointed segment during backward. + """ + super().__init__() + self._output_size = output_size + + self.global_cmvn = global_cmvn + self.embed = COSYVOICE_SUBSAMPLE_CLASSES[input_layer]( + input_size, + output_size, + dropout_rate, + COSYVOICE_EMB_CLASSES[pos_enc_layer_type](output_size, + positional_dropout_rate), + ) + + self.normalize_before = normalize_before + self.after_norm = torch.nn.LayerNorm(output_size, eps=1e-5) + self.static_chunk_size = static_chunk_size + self.use_dynamic_chunk = use_dynamic_chunk + self.use_dynamic_left_chunk = use_dynamic_left_chunk + self.gradient_checkpointing = gradient_checkpointing + + def output_size(self) -> int: + return self._output_size + + def forward( + self, + xs: torch.Tensor, + xs_lens: torch.Tensor, + decoding_chunk_size: int = 0, + num_decoding_left_chunks: int = -1, + ) -> Tuple[torch.Tensor, torch.Tensor]: + """Embed positions in tensor. + + Args: + xs: padded input tensor (B, T, D) + xs_lens: input length (B) + decoding_chunk_size: decoding chunk size for dynamic chunk + 0: default for training, use random dynamic chunk. + <0: for decoding, use full chunk. + >0: for decoding, use fixed chunk size as set. + num_decoding_left_chunks: number of left chunks, this is for decoding, + the chunk size is decoding_chunk_size. + >=0: use num_decoding_left_chunks + <0: use all left chunks + Returns: + encoder output tensor xs, and subsampled masks + xs: padded output tensor (B, T' ~= T/subsample_rate, D) + masks: torch.Tensor batch padding mask after subsample + (B, 1, T' ~= T/subsample_rate) + NOTE(xcsong): + We pass the `__call__` method of the modules instead of `forward` to the + checkpointing API because `__call__` attaches all the hooks of the module. + https://discuss.pytorch.org/t/any-different-between-model-input-and-model-forward-input/3690/2 + """ + T = xs.size(1) + masks = ~make_pad_mask(xs_lens, T).unsqueeze(1) # (B, 1, T) + if self.global_cmvn is not None: + xs = self.global_cmvn(xs) + xs, pos_emb, masks = self.embed(xs, masks) + mask_pad = masks # (B, 1, T/subsample_rate) + chunk_masks = add_optional_chunk_mask(xs, masks, + self.use_dynamic_chunk, + self.use_dynamic_left_chunk, + decoding_chunk_size, + self.static_chunk_size, + num_decoding_left_chunks) + if self.gradient_checkpointing and self.training: + xs = self.forward_layers_checkpointed(xs, chunk_masks, pos_emb, + mask_pad) + else: + xs = self.forward_layers(xs, chunk_masks, pos_emb, mask_pad) + if self.normalize_before: + xs = self.after_norm(xs) + # Here we assume the mask is not changed in encoder layers, so just + # return the masks before encoder layers, and the masks will be used + # for cross attention with decoder later + return xs, masks + + def forward_layers(self, xs: torch.Tensor, chunk_masks: torch.Tensor, + pos_emb: torch.Tensor, + mask_pad: torch.Tensor) -> torch.Tensor: + for layer in self.encoders: + xs, chunk_masks, _, _ = layer(xs, chunk_masks, pos_emb, mask_pad) + return xs + + @torch.jit.ignore(drop=True) + def forward_layers_checkpointed(self, xs: torch.Tensor, + chunk_masks: torch.Tensor, + pos_emb: torch.Tensor, + mask_pad: torch.Tensor) -> torch.Tensor: + for layer in self.encoders: + xs, chunk_masks, _, _ = ckpt.checkpoint(layer.__call__, xs, + chunk_masks, pos_emb, + mask_pad) + return xs + + def forward_chunk( + self, + xs: torch.Tensor, + offset: int, + required_cache_size: int, + att_cache: torch.Tensor = torch.zeros(0, 0, 0, 0), + cnn_cache: torch.Tensor = torch.zeros(0, 0, 0, 0), + att_mask: torch.Tensor = torch.ones((0, 0, 0), dtype=torch.bool), + ) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor]: + """ Forward just one chunk + + Args: + xs (torch.Tensor): chunk input, with shape (b=1, time, mel-dim), + where `time == (chunk_size - 1) * subsample_rate + \ + subsample.right_context + 1` + offset (int): current offset in encoder output time stamp + required_cache_size (int): cache size required for next chunk + compuation + >=0: actual cache size + <0: means all history cache is required + att_cache (torch.Tensor): cache tensor for KEY & VALUE in + transformer/conformer attention, with shape + (elayers, head, cache_t1, d_k * 2), where + `head * d_k == hidden-dim` and + `cache_t1 == chunk_size * num_decoding_left_chunks`. + cnn_cache (torch.Tensor): cache tensor for cnn_module in conformer, + (elayers, b=1, hidden-dim, cache_t2), where + `cache_t2 == cnn.lorder - 1` + + Returns: + torch.Tensor: output of current input xs, + with shape (b=1, chunk_size, hidden-dim). + torch.Tensor: new attention cache required for next chunk, with + dynamic shape (elayers, head, ?, d_k * 2) + depending on required_cache_size. + torch.Tensor: new conformer cnn cache required for next chunk, with + same shape as the original cnn_cache. + + """ + assert xs.size(0) == 1 + # tmp_masks is just for interface compatibility + tmp_masks = torch.ones(1, + xs.size(1), + device=xs.device, + dtype=torch.bool) + tmp_masks = tmp_masks.unsqueeze(1) + if self.global_cmvn is not None: + xs = self.global_cmvn(xs) + # NOTE(xcsong): Before embed, shape(xs) is (b=1, time, mel-dim) + xs, pos_emb, _ = self.embed(xs, tmp_masks, offset) + # NOTE(xcsong): After embed, shape(xs) is (b=1, chunk_size, hidden-dim) + elayers, cache_t1 = att_cache.size(0), att_cache.size(2) + chunk_size = xs.size(1) + attention_key_size = cache_t1 + chunk_size + pos_emb = self.embed.position_encoding(offset=offset - cache_t1, + size=attention_key_size) + if required_cache_size < 0: + next_cache_start = 0 + elif required_cache_size == 0: + next_cache_start = attention_key_size + else: + next_cache_start = max(attention_key_size - required_cache_size, 0) + r_att_cache = [] + r_cnn_cache = [] + for i, layer in enumerate(self.encoders): + # NOTE(xcsong): Before layer.forward + # shape(att_cache[i:i + 1]) is (1, head, cache_t1, d_k * 2), + # shape(cnn_cache[i]) is (b=1, hidden-dim, cache_t2) + xs, _, new_att_cache, new_cnn_cache = layer( + xs, + att_mask, + pos_emb, + att_cache=att_cache[i:i + 1] if elayers > 0 else att_cache, + cnn_cache=cnn_cache[i] if cnn_cache.size(0) > 0 else cnn_cache) + # NOTE(xcsong): After layer.forward + # shape(new_att_cache) is (1, head, attention_key_size, d_k * 2), + # shape(new_cnn_cache) is (b=1, hidden-dim, cache_t2) + r_att_cache.append(new_att_cache[:, :, next_cache_start:, :]) + r_cnn_cache.append(new_cnn_cache.unsqueeze(0)) + if self.normalize_before: + xs = self.after_norm(xs) + + # NOTE(xcsong): shape(r_att_cache) is (elayers, head, ?, d_k * 2), + # ? may be larger than cache_t1, it depends on required_cache_size + r_att_cache = torch.cat(r_att_cache, dim=0) + # NOTE(xcsong): shape(r_cnn_cache) is (e, b=1, hidden-dim, cache_t2) + r_cnn_cache = torch.cat(r_cnn_cache, dim=0) + + return (xs, r_att_cache, r_cnn_cache) + + def forward_chunk_by_chunk( + self, + xs: torch.Tensor, + decoding_chunk_size: int, + num_decoding_left_chunks: int = -1, + ) -> Tuple[torch.Tensor, torch.Tensor]: + """ Forward input chunk by chunk with chunk_size like a streaming + fashion + + Here we should pay special attention to computation cache in the + streaming style forward chunk by chunk. Three things should be taken + into account for computation in the current network: + 1. transformer/conformer encoder layers output cache + 2. convolution in conformer + 3. convolution in subsampling + + However, we don't implement subsampling cache for: + 1. We can control subsampling module to output the right result by + overlapping input instead of cache left context, even though it + wastes some computation, but subsampling only takes a very + small fraction of computation in the whole model. + 2. Typically, there are several covolution layers with subsampling + in subsampling module, it is tricky and complicated to do cache + with different convolution layers with different subsampling + rate. + 3. Currently, nn.Sequential is used to stack all the convolution + layers in subsampling, we need to rewrite it to make it work + with cache, which is not prefered. + Args: + xs (torch.Tensor): (1, max_len, dim) + chunk_size (int): decoding chunk size + """ + assert decoding_chunk_size > 0 + # The model is trained by static or dynamic chunk + assert self.static_chunk_size > 0 or self.use_dynamic_chunk + subsampling = self.embed.subsampling_rate + context = self.embed.right_context + 1 # Add current frame + stride = subsampling * decoding_chunk_size + decoding_window = (decoding_chunk_size - 1) * subsampling + context + num_frames = xs.size(1) + att_cache: torch.Tensor = torch.zeros((0, 0, 0, 0), device=xs.device) + cnn_cache: torch.Tensor = torch.zeros((0, 0, 0, 0), device=xs.device) + outputs = [] + offset = 0 + required_cache_size = decoding_chunk_size * num_decoding_left_chunks + + # Feed forward overlap input step by step + for cur in range(0, num_frames - context + 1, stride): + end = min(cur + decoding_window, num_frames) + chunk_xs = xs[:, cur:end, :] + (y, att_cache, + cnn_cache) = self.forward_chunk(chunk_xs, offset, + required_cache_size, att_cache, + cnn_cache) + outputs.append(y) + offset += y.size(1) + ys = torch.cat(outputs, 1) + masks = torch.ones((1, 1, ys.size(1)), + device=ys.device, + dtype=torch.bool) + return ys, masks + + +class TransformerEncoder(BaseEncoder): + """Transformer encoder module.""" + + def __init__( + self, + input_size: int, + output_size: int = 256, + attention_heads: int = 4, + linear_units: int = 2048, + num_blocks: int = 6, + dropout_rate: float = 0.1, + positional_dropout_rate: float = 0.1, + attention_dropout_rate: float = 0.0, + input_layer: str = "conv2d", + pos_enc_layer_type: str = "abs_pos", + normalize_before: bool = True, + static_chunk_size: int = 0, + use_dynamic_chunk: bool = False, + global_cmvn: torch.nn.Module = None, + use_dynamic_left_chunk: bool = False, + key_bias: bool = True, + selfattention_layer_type: str = "selfattn", + activation_type: str = "relu", + gradient_checkpointing: bool = False, + ): + """ Construct TransformerEncoder + + See Encoder for the meaning of each parameter. + """ + super().__init__(input_size, output_size, attention_heads, + linear_units, num_blocks, dropout_rate, + positional_dropout_rate, attention_dropout_rate, + input_layer, pos_enc_layer_type, normalize_before, + static_chunk_size, use_dynamic_chunk, global_cmvn, + use_dynamic_left_chunk, gradient_checkpointing) + activation = COSYVOICE_ACTIVATION_CLASSES[activation_type]() + self.encoders = torch.nn.ModuleList([ + TransformerEncoderLayer( + output_size, + COSYVOICE_ATTENTION_CLASSES[selfattention_layer_type](attention_heads, + output_size, + attention_dropout_rate, + key_bias), + PositionwiseFeedForward(output_size, linear_units, + dropout_rate, activation), + dropout_rate, normalize_before) for _ in range(num_blocks) + ]) + + +class ConformerEncoder(BaseEncoder): + """Conformer encoder module.""" + + def __init__( + self, + input_size: int, + output_size: int = 256, + attention_heads: int = 4, + linear_units: int = 2048, + num_blocks: int = 6, + dropout_rate: float = 0.1, + positional_dropout_rate: float = 0.1, + attention_dropout_rate: float = 0.0, + input_layer: str = "conv2d", + pos_enc_layer_type: str = "rel_pos", + normalize_before: bool = True, + static_chunk_size: int = 0, + use_dynamic_chunk: bool = False, + global_cmvn: torch.nn.Module = None, + use_dynamic_left_chunk: bool = False, + positionwise_conv_kernel_size: int = 1, + macaron_style: bool = True, + selfattention_layer_type: str = "rel_selfattn", + activation_type: str = "swish", + use_cnn_module: bool = True, + cnn_module_kernel: int = 15, + causal: bool = False, + cnn_module_norm: str = "batch_norm", + key_bias: bool = True, + gradient_checkpointing: bool = False, + ): + """Construct ConformerEncoder + + Args: + input_size to use_dynamic_chunk, see in BaseEncoder + positionwise_conv_kernel_size (int): Kernel size of positionwise + conv1d layer. + macaron_style (bool): Whether to use macaron style for + positionwise layer. + selfattention_layer_type (str): Encoder attention layer type, + the parameter has no effect now, it's just for configure + compatibility. + activation_type (str): Encoder activation function type. + use_cnn_module (bool): Whether to use convolution module. + cnn_module_kernel (int): Kernel size of convolution module. + causal (bool): whether to use causal convolution or not. + key_bias: whether use bias in attention.linear_k, False for whisper models. + """ + super().__init__(input_size, output_size, attention_heads, + linear_units, num_blocks, dropout_rate, + positional_dropout_rate, attention_dropout_rate, + input_layer, pos_enc_layer_type, normalize_before, + static_chunk_size, use_dynamic_chunk, global_cmvn, + use_dynamic_left_chunk, gradient_checkpointing) + activation = COSYVOICE_ACTIVATION_CLASSES[activation_type]() + + # self-attention module definition + encoder_selfattn_layer_args = ( + attention_heads, + output_size, + attention_dropout_rate, + key_bias, + ) + # feed-forward module definition + positionwise_layer_args = ( + output_size, + linear_units, + dropout_rate, + activation, + ) + # convolution module definition + convolution_layer_args = (output_size, cnn_module_kernel, activation, + cnn_module_norm, causal) + + self.encoders = torch.nn.ModuleList([ + ConformerEncoderLayer( + output_size, + COSYVOICE_ATTENTION_CLASSES[selfattention_layer_type]( + *encoder_selfattn_layer_args), + PositionwiseFeedForward(*positionwise_layer_args), + PositionwiseFeedForward( + *positionwise_layer_args) if macaron_style else None, + ConvolutionModule( + *convolution_layer_args) if use_cnn_module else None, + dropout_rate, + normalize_before, + ) for _ in range(num_blocks) + ]) diff --git a/CosyVoice/cosyvoice/transformer/encoder_layer.py b/CosyVoice/cosyvoice/transformer/encoder_layer.py new file mode 100644 index 0000000000000000000000000000000000000000..dfd758bc1cc7780aa4f6a322a264c879b74a6cfe --- /dev/null +++ b/CosyVoice/cosyvoice/transformer/encoder_layer.py @@ -0,0 +1,236 @@ +# Copyright (c) 2021 Mobvoi Inc (Binbin Zhang, Di Wu) +# 2022 Xingchen Song (sxc19@mails.tsinghua.edu.cn) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# Modified from ESPnet(https://github.com/espnet/espnet) +"""Encoder self-attention layer definition.""" + +from typing import Optional, Tuple + +import torch +from torch import nn + + +class TransformerEncoderLayer(nn.Module): + """Encoder layer module. + + Args: + size (int): Input dimension. + self_attn (torch.nn.Module): Self-attention module instance. + `MultiHeadedAttention` or `RelPositionMultiHeadedAttention` + instance can be used as the argument. + feed_forward (torch.nn.Module): Feed-forward module instance. + `PositionwiseFeedForward`, instance can be used as the argument. + dropout_rate (float): Dropout rate. + normalize_before (bool): + True: use layer_norm before each sub-block. + False: to use layer_norm after each sub-block. + """ + + def __init__( + self, + size: int, + self_attn: torch.nn.Module, + feed_forward: torch.nn.Module, + dropout_rate: float, + normalize_before: bool = True, + ): + """Construct an EncoderLayer object.""" + super().__init__() + self.self_attn = self_attn + self.feed_forward = feed_forward + self.norm1 = nn.LayerNorm(size, eps=1e-5) + self.norm2 = nn.LayerNorm(size, eps=1e-5) + self.dropout = nn.Dropout(dropout_rate) + self.size = size + self.normalize_before = normalize_before + + def forward( + self, + x: torch.Tensor, + mask: torch.Tensor, + pos_emb: torch.Tensor, + mask_pad: torch.Tensor = torch.ones((0, 0, 0), dtype=torch.bool), + att_cache: torch.Tensor = torch.zeros((0, 0, 0, 0)), + cnn_cache: torch.Tensor = torch.zeros((0, 0, 0, 0)), + ) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor]: + """Compute encoded features. + + Args: + x (torch.Tensor): (#batch, time, size) + mask (torch.Tensor): Mask tensor for the input (#batch, time，time), + (0, 0, 0) means fake mask. + pos_emb (torch.Tensor): just for interface compatibility + to ConformerEncoderLayer + mask_pad (torch.Tensor): does not used in transformer layer, + just for unified api with conformer. + att_cache (torch.Tensor): Cache tensor of the KEY & VALUE + (#batch=1, head, cache_t1, d_k * 2), head * d_k == size. + cnn_cache (torch.Tensor): Convolution cache in conformer layer + (#batch=1, size, cache_t2), not used here, it's for interface + compatibility to ConformerEncoderLayer. + Returns: + torch.Tensor: Output tensor (#batch, time, size). + torch.Tensor: Mask tensor (#batch, time, time). + torch.Tensor: att_cache tensor, + (#batch=1, head, cache_t1 + time, d_k * 2). + torch.Tensor: cnn_cahce tensor (#batch=1, size, cache_t2). + + """ + residual = x + if self.normalize_before: + x = self.norm1(x) + x_att, new_att_cache = self.self_attn(x, x, x, mask, pos_emb=pos_emb, cache=att_cache) + x = residual + self.dropout(x_att) + if not self.normalize_before: + x = self.norm1(x) + + residual = x + if self.normalize_before: + x = self.norm2(x) + x = residual + self.dropout(self.feed_forward(x)) + if not self.normalize_before: + x = self.norm2(x) + + fake_cnn_cache = torch.zeros((0, 0, 0), dtype=x.dtype, device=x.device) + return x, mask, new_att_cache, fake_cnn_cache + + +class ConformerEncoderLayer(nn.Module): + """Encoder layer module. + Args: + size (int): Input dimension. + self_attn (torch.nn.Module): Self-attention module instance. + `MultiHeadedAttention` or `RelPositionMultiHeadedAttention` + instance can be used as the argument. + feed_forward (torch.nn.Module): Feed-forward module instance. + `PositionwiseFeedForward` instance can be used as the argument. + feed_forward_macaron (torch.nn.Module): Additional feed-forward module + instance. + `PositionwiseFeedForward` instance can be used as the argument. + conv_module (torch.nn.Module): Convolution module instance. + `ConvlutionModule` instance can be used as the argument. + dropout_rate (float): Dropout rate. + normalize_before (bool): + True: use layer_norm before each sub-block. + False: use layer_norm after each sub-block. + """ + + def __init__( + self, + size: int, + self_attn: torch.nn.Module, + feed_forward: Optional[nn.Module] = None, + feed_forward_macaron: Optional[nn.Module] = None, + conv_module: Optional[nn.Module] = None, + dropout_rate: float = 0.1, + normalize_before: bool = True, + ): + """Construct an EncoderLayer object.""" + super().__init__() + self.self_attn = self_attn + self.feed_forward = feed_forward + self.feed_forward_macaron = feed_forward_macaron + self.conv_module = conv_module + self.norm_ff = nn.LayerNorm(size, eps=1e-5) # for the FNN module + self.norm_mha = nn.LayerNorm(size, eps=1e-5) # for the MHA module + if feed_forward_macaron is not None: + self.norm_ff_macaron = nn.LayerNorm(size, eps=1e-5) + self.ff_scale = 0.5 + else: + self.ff_scale = 1.0 + if self.conv_module is not None: + self.norm_conv = nn.LayerNorm(size, eps=1e-5) # for the CNN module + self.norm_final = nn.LayerNorm( + size, eps=1e-5) # for the final output of the block + self.dropout = nn.Dropout(dropout_rate) + self.size = size + self.normalize_before = normalize_before + + def forward( + self, + x: torch.Tensor, + mask: torch.Tensor, + pos_emb: torch.Tensor, + mask_pad: torch.Tensor = torch.ones((0, 0, 0), dtype=torch.bool), + att_cache: torch.Tensor = torch.zeros((0, 0, 0, 0)), + cnn_cache: torch.Tensor = torch.zeros((0, 0, 0, 0)), + ) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor]: + """Compute encoded features. + + Args: + x (torch.Tensor): (#batch, time, size) + mask (torch.Tensor): Mask tensor for the input (#batch, time，time), + (0, 0, 0) means fake mask. + pos_emb (torch.Tensor): positional encoding, must not be None + for ConformerEncoderLayer. + mask_pad (torch.Tensor): batch padding mask used for conv module. + (#batch, 1，time), (0, 0, 0) means fake mask. + att_cache (torch.Tensor): Cache tensor of the KEY & VALUE + (#batch=1, head, cache_t1, d_k * 2), head * d_k == size. + cnn_cache (torch.Tensor): Convolution cache in conformer layer + (#batch=1, size, cache_t2) + Returns: + torch.Tensor: Output tensor (#batch, time, size). + torch.Tensor: Mask tensor (#batch, time, time). + torch.Tensor: att_cache tensor, + (#batch=1, head, cache_t1 + time, d_k * 2). + torch.Tensor: cnn_cahce tensor (#batch, size, cache_t2). + """ + + # whether to use macaron style + if self.feed_forward_macaron is not None: + residual = x + if self.normalize_before: + x = self.norm_ff_macaron(x) + x = residual + self.ff_scale * self.dropout( + self.feed_forward_macaron(x)) + if not self.normalize_before: + x = self.norm_ff_macaron(x) + + # multi-headed self-attention module + residual = x + if self.normalize_before: + x = self.norm_mha(x) + x_att, new_att_cache = self.self_attn(x, x, x, mask, pos_emb, + att_cache) + x = residual + self.dropout(x_att) + if not self.normalize_before: + x = self.norm_mha(x) + + # convolution module + # Fake new cnn cache here, and then change it in conv_module + new_cnn_cache = torch.zeros((0, 0, 0), dtype=x.dtype, device=x.device) + if self.conv_module is not None: + residual = x + if self.normalize_before: + x = self.norm_conv(x) + x, new_cnn_cache = self.conv_module(x, mask_pad, cnn_cache) + x = residual + self.dropout(x) + + if not self.normalize_before: + x = self.norm_conv(x) + + # feed forward module + residual = x + if self.normalize_before: + x = self.norm_ff(x) + + x = residual + self.ff_scale * self.dropout(self.feed_forward(x)) + if not self.normalize_before: + x = self.norm_ff(x) + + if self.conv_module is not None: + x = self.norm_final(x) + + return x, mask, new_att_cache, new_cnn_cache diff --git a/CosyVoice/cosyvoice/transformer/label_smoothing_loss.py b/CosyVoice/cosyvoice/transformer/label_smoothing_loss.py new file mode 100644 index 0000000000000000000000000000000000000000..feacabf09609ee6eb047c89ce18d372256c72c71 --- /dev/null +++ b/CosyVoice/cosyvoice/transformer/label_smoothing_loss.py @@ -0,0 +1,96 @@ +# Copyright (c) 2019 Shigeki Karita +# 2020 Mobvoi Inc (Binbin Zhang) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Label smoothing module.""" + +import torch +from torch import nn + + +class LabelSmoothingLoss(nn.Module): + """Label-smoothing loss. + + In a standard CE loss, the label's data distribution is: + [0,1,2] -> + [ + [1.0, 0.0, 0.0], + [0.0, 1.0, 0.0], + [0.0, 0.0, 1.0], + ] + + In the smoothing version CE Loss,some probabilities + are taken from the true label prob (1.0) and are divided + among other labels. + + e.g. + smoothing=0.1 + [0,1,2] -> + [ + [0.9, 0.05, 0.05], + [0.05, 0.9, 0.05], + [0.05, 0.05, 0.9], + ] + + Args: + size (int): the number of class + padding_idx (int): padding class id which will be ignored for loss + smoothing (float): smoothing rate (0.0 means the conventional CE) + normalize_length (bool): + normalize loss by sequence length if True + normalize loss by batch size if False + """ + + def __init__(self, + size: int, + padding_idx: int, + smoothing: float, + normalize_length: bool = False): + """Construct an LabelSmoothingLoss object.""" + super(LabelSmoothingLoss, self).__init__() + self.criterion = nn.KLDivLoss(reduction="none") + self.padding_idx = padding_idx + self.confidence = 1.0 - smoothing + self.smoothing = smoothing + self.size = size + self.normalize_length = normalize_length + + def forward(self, x: torch.Tensor, target: torch.Tensor) -> torch.Tensor: + """Compute loss between x and target. + + The model outputs and data labels tensors are flatten to + (batch*seqlen, class) shape and a mask is applied to the + padding part which should not be calculated for loss. + + Args: + x (torch.Tensor): prediction (batch, seqlen, class) + target (torch.Tensor): + target signal masked with self.padding_id (batch, seqlen) + Returns: + loss (torch.Tensor) : The KL loss, scalar float value + """ + assert x.size(2) == self.size + batch_size = x.size(0) + x = x.view(-1, self.size) + target = target.view(-1) + # use zeros_like instead of torch.no_grad() for true_dist, + # since no_grad() can not be exported by JIT + true_dist = torch.zeros_like(x) + true_dist.fill_(self.smoothing / (self.size - 1)) + ignore = target == self.padding_idx # (B,) + total = len(target) - ignore.sum().item() + target = target.masked_fill(ignore, 0) # avoid -1 index + true_dist.scatter_(1, target.unsqueeze(1), self.confidence) + kl = self.criterion(torch.log_softmax(x, dim=1), true_dist) + denom = total if self.normalize_length else batch_size + return kl.masked_fill(ignore.unsqueeze(1), 0).sum() / denom diff --git a/CosyVoice/cosyvoice/transformer/positionwise_feed_forward.py b/CosyVoice/cosyvoice/transformer/positionwise_feed_forward.py new file mode 100644 index 0000000000000000000000000000000000000000..b7a2cf6e7315e3a5ed2794423daff0a59cc5b208 --- /dev/null +++ b/CosyVoice/cosyvoice/transformer/positionwise_feed_forward.py @@ -0,0 +1,115 @@ +# Copyright (c) 2019 Shigeki Karita +# 2020 Mobvoi Inc (Binbin Zhang) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Positionwise feed forward layer definition.""" + +import torch + + +class PositionwiseFeedForward(torch.nn.Module): + """Positionwise feed forward layer. + + FeedForward are appied on each position of the sequence. + The output dim is same with the input dim. + + Args: + idim (int): Input dimenstion. + hidden_units (int): The number of hidden units. + dropout_rate (float): Dropout rate. + activation (torch.nn.Module): Activation function + """ + + def __init__( + self, + idim: int, + hidden_units: int, + dropout_rate: float, + activation: torch.nn.Module = torch.nn.ReLU(), + ): + """Construct a PositionwiseFeedForward object.""" + super(PositionwiseFeedForward, self).__init__() + self.w_1 = torch.nn.Linear(idim, hidden_units) + self.activation = activation + self.dropout = torch.nn.Dropout(dropout_rate) + self.w_2 = torch.nn.Linear(hidden_units, idim) + + def forward(self, xs: torch.Tensor) -> torch.Tensor: + """Forward function. + + Args: + xs: input tensor (B, L, D) + Returns: + output tensor, (B, L, D) + """ + return self.w_2(self.dropout(self.activation(self.w_1(xs)))) + + +class MoEFFNLayer(torch.nn.Module): + """ + Mixture of expert with Positionwise feed forward layer + See also figure 1 in https://arxiv.org/pdf/2305.15663.pdf + The output dim is same with the input dim. + + Modified from https://github.com/Lightning-AI/lit-gpt/pull/823 + https://github.com/mistralai/mistral-src/blob/b46d6/moe_one_file_ref.py#L203-L219 + Args: + n_expert: number of expert. + n_expert_per_token: The actual number of experts used for each frame + idim (int): Input dimenstion. + hidden_units (int): The number of hidden units. + dropout_rate (float): Dropout rate. + activation (torch.nn.Module): Activation function + """ + + def __init__( + self, + n_expert: int, + n_expert_per_token: int, + idim: int, + hidden_units: int, + dropout_rate: float, + activation: torch.nn.Module = torch.nn.ReLU(), + ): + super(MoEFFNLayer, self).__init__() + self.gate = torch.nn.Linear(idim, n_expert, bias=False) + self.experts = torch.nn.ModuleList( + PositionwiseFeedForward(idim, hidden_units, dropout_rate, + activation) for _ in range(n_expert)) + self.n_expert_per_token = n_expert_per_token + + def forward(self, xs: torch.Tensor) -> torch.Tensor: + """Foward function. + Args: + xs: input tensor (B, L, D) + Returns: + output tensor, (B, L, D) + + """ + B, L, D = xs.size( + ) # batch size, sequence length, embedding dimension (idim) + xs = xs.view(-1, D) # (B*L, D) + router = self.gate(xs) # (B*L, n_expert) + logits, indices = torch.topk( + router, self.n_expert_per_token + ) # probs:(B*L, n_expert), indices: (B*L, n_expert) + weights = torch.nn.functional.softmax( + logits, dim=1, + dtype=torch.float).to(dtype=xs.dtype) # (B*L, n_expert_per_token) + output = torch.zeros_like(xs) # (B*L, D) + for i, expert in enumerate(self.experts): + mask = indices == i + batch_idx, ith_expert = torch.where(mask) + output[batch_idx] += weights[batch_idx, ith_expert, None] * expert( + xs[batch_idx]) + return output.view(B, L, D) diff --git a/CosyVoice/cosyvoice/transformer/subsampling.py b/CosyVoice/cosyvoice/transformer/subsampling.py new file mode 100644 index 0000000000000000000000000000000000000000..e17c2e324e3afb24e1b619effe29cef07c9c5b3a --- /dev/null +++ b/CosyVoice/cosyvoice/transformer/subsampling.py @@ -0,0 +1,383 @@ +# Copyright (c) 2021 Mobvoi Inc (Binbin Zhang, Di Wu) +# 2024 Alibaba Inc (Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# Modified from ESPnet(https://github.com/espnet/espnet) +"""Subsampling layer definition.""" + +from typing import Tuple, Union + +import torch + + +class BaseSubsampling(torch.nn.Module): + + def __init__(self): + super().__init__() + self.right_context = 0 + self.subsampling_rate = 1 + + def position_encoding(self, offset: Union[int, torch.Tensor], + size: int) -> torch.Tensor: + return self.pos_enc.position_encoding(offset, size) + + +class EmbedinigNoSubsampling(BaseSubsampling): + """Embedding input without subsampling + """ + + def __init__(self, idim: int, odim: int, dropout_rate: float, + pos_enc_class: torch.nn.Module): + super().__init__() + self.embed = torch.nn.Embedding(idim, odim) + self.pos_enc = pos_enc_class + + def forward( + self, + x: torch.Tensor, + x_mask: torch.Tensor, + offset: Union[int, torch.Tensor] = 0 + ) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor]: + """Input x. + + Args: + x (torch.Tensor): Input tensor (#batch, time, idim). + x_mask (torch.Tensor): Input mask (#batch, 1, time). + + Returns: + torch.Tensor: linear input tensor (#batch, time', odim), + where time' = time . + torch.Tensor: linear input mask (#batch, 1, time'), + where time' = time . + + """ + x = self.embed(x) + x, pos_emb = self.pos_enc(x, offset) + return x, pos_emb, x_mask + + +class LinearNoSubsampling(BaseSubsampling): + """Linear transform the input without subsampling + + Args: + idim (int): Input dimension. + odim (int): Output dimension. + dropout_rate (float): Dropout rate. + + """ + + def __init__(self, idim: int, odim: int, dropout_rate: float, + pos_enc_class: torch.nn.Module): + """Construct an linear object.""" + super().__init__() + self.out = torch.nn.Sequential( + torch.nn.Linear(idim, odim), + torch.nn.LayerNorm(odim, eps=1e-5), + torch.nn.Dropout(dropout_rate), + ) + self.pos_enc = pos_enc_class + self.right_context = 0 + self.subsampling_rate = 1 + + def forward( + self, + x: torch.Tensor, + x_mask: torch.Tensor, + offset: Union[int, torch.Tensor] = 0 + ) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor]: + """Input x. + + Args: + x (torch.Tensor): Input tensor (#batch, time, idim). + x_mask (torch.Tensor): Input mask (#batch, 1, time). + + Returns: + torch.Tensor: linear input tensor (#batch, time', odim), + where time' = time . + torch.Tensor: linear input mask (#batch, 1, time'), + where time' = time . + + """ + x = self.out(x) + x, pos_emb = self.pos_enc(x, offset) + return x, pos_emb, x_mask + + +class Conv1dSubsampling2(BaseSubsampling): + """Convolutional 1D subsampling (to 1/2 length). + It is designed for Whisper, ref: + https://github.com/openai/whisper/blob/main/whisper/model.py + + Args: + idim (int): Input dimension. + odim (int): Output dimension. + dropout_rate (float): Dropout rate. + + """ + + def __init__(self, idim: int, odim: int, dropout_rate: float, + pos_enc_class: torch.nn.Module): + """Construct an Conv1dSubsampling2 object.""" + super().__init__() + self.conv = torch.nn.Sequential( + torch.nn.Conv1d(idim, odim, kernel_size=3, padding=1), + torch.nn.GELU(), + torch.nn.Conv1d(odim, odim, kernel_size=3, stride=2, padding=1), + torch.nn.GELU(), + ) + self.pos_enc = pos_enc_class + # The right context for every conv layer is computed by: + # (kernel_size - 1) * frame_rate_of_this_layer + self.subsampling_rate = 2 + # 4 = (3 - 1) * 1 + (3 - 1) * 1 + self.right_context = 4 + + def forward( + self, + x: torch.Tensor, + x_mask: torch.Tensor, + offset: Union[int, torch.Tensor] = 0 + ) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor]: + """Subsample x. + + Args: + x (torch.Tensor): Input tensor (#batch, time, idim). + x_mask (torch.Tensor): Input mask (#batch, 1, time). + + Returns: + torch.Tensor: Subsampled tensor (#batch, time', odim), + where time' = time // 2. + torch.Tensor: Subsampled mask (#batch, 1, time'), + where time' = time // 2. + torch.Tensor: positional encoding + + """ + time = x.size(1) + x = x.transpose(1, 2) # (b, f, t) + x = self.conv(x) + x = x.transpose(1, 2) # (b, t, f) + x, pos_emb = self.pos_enc(x, offset) + return x, pos_emb, x_mask[:, :, (time + 1) % 2::2] + + +class Conv2dSubsampling4(BaseSubsampling): + """Convolutional 2D subsampling (to 1/4 length). + + Args: + idim (int): Input dimension. + odim (int): Output dimension. + dropout_rate (float): Dropout rate. + + """ + + def __init__(self, idim: int, odim: int, dropout_rate: float, + pos_enc_class: torch.nn.Module): + """Construct an Conv2dSubsampling4 object.""" + super().__init__() + self.conv = torch.nn.Sequential( + torch.nn.Conv2d(1, odim, 3, 2), + torch.nn.ReLU(), + torch.nn.Conv2d(odim, odim, 3, 2), + torch.nn.ReLU(), + ) + self.out = torch.nn.Sequential( + torch.nn.Linear(odim * (((idim - 1) // 2 - 1) // 2), odim)) + self.pos_enc = pos_enc_class + # The right context for every conv layer is computed by: + # (kernel_size - 1) * frame_rate_of_this_layer + self.subsampling_rate = 4 + # 6 = (3 - 1) * 1 + (3 - 1) * 2 + self.right_context = 6 + + def forward( + self, + x: torch.Tensor, + x_mask: torch.Tensor, + offset: Union[int, torch.Tensor] = 0 + ) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor]: + """Subsample x. + + Args: + x (torch.Tensor): Input tensor (#batch, time, idim). + x_mask (torch.Tensor): Input mask (#batch, 1, time). + + Returns: + torch.Tensor: Subsampled tensor (#batch, time', odim), + where time' = time // 4. + torch.Tensor: Subsampled mask (#batch, 1, time'), + where time' = time // 4. + torch.Tensor: positional encoding + + """ + x = x.unsqueeze(1) # (b, c=1, t, f) + x = self.conv(x) + b, c, t, f = x.size() + x = self.out(x.transpose(1, 2).contiguous().view(b, t, c * f)) + x, pos_emb = self.pos_enc(x, offset) + return x, pos_emb, x_mask[:, :, 2::2][:, :, 2::2] + + +class Conv2dSubsampling6(BaseSubsampling): + """Convolutional 2D subsampling (to 1/6 length). + Args: + idim (int): Input dimension. + odim (int): Output dimension. + dropout_rate (float): Dropout rate. + pos_enc (torch.nn.Module): Custom position encoding layer. + """ + + def __init__(self, idim: int, odim: int, dropout_rate: float, + pos_enc_class: torch.nn.Module): + """Construct an Conv2dSubsampling6 object.""" + super().__init__() + self.conv = torch.nn.Sequential( + torch.nn.Conv2d(1, odim, 3, 2), + torch.nn.ReLU(), + torch.nn.Conv2d(odim, odim, 5, 3), + torch.nn.ReLU(), + ) + self.linear = torch.nn.Linear(odim * (((idim - 1) // 2 - 2) // 3), + odim) + self.pos_enc = pos_enc_class + # 10 = (3 - 1) * 1 + (5 - 1) * 2 + self.subsampling_rate = 6 + self.right_context = 10 + + def forward( + self, + x: torch.Tensor, + x_mask: torch.Tensor, + offset: Union[int, torch.Tensor] = 0 + ) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor]: + """Subsample x. + Args: + x (torch.Tensor): Input tensor (#batch, time, idim). + x_mask (torch.Tensor): Input mask (#batch, 1, time). + + Returns: + torch.Tensor: Subsampled tensor (#batch, time', odim), + where time' = time // 6. + torch.Tensor: Subsampled mask (#batch, 1, time'), + where time' = time // 6. + torch.Tensor: positional encoding + """ + x = x.unsqueeze(1) # (b, c, t, f) + x = self.conv(x) + b, c, t, f = x.size() + x = self.linear(x.transpose(1, 2).contiguous().view(b, t, c * f)) + x, pos_emb = self.pos_enc(x, offset) + return x, pos_emb, x_mask[:, :, 2::2][:, :, 4::3] + + +class Conv2dSubsampling8(BaseSubsampling): + """Convolutional 2D subsampling (to 1/8 length). + + Args: + idim (int): Input dimension. + odim (int): Output dimension. + dropout_rate (float): Dropout rate. + + """ + + def __init__(self, idim: int, odim: int, dropout_rate: float, + pos_enc_class: torch.nn.Module): + """Construct an Conv2dSubsampling8 object.""" + super().__init__() + self.conv = torch.nn.Sequential( + torch.nn.Conv2d(1, odim, 3, 2), + torch.nn.ReLU(), + torch.nn.Conv2d(odim, odim, 3, 2), + torch.nn.ReLU(), + torch.nn.Conv2d(odim, odim, 3, 2), + torch.nn.ReLU(), + ) + self.linear = torch.nn.Linear( + odim * ((((idim - 1) // 2 - 1) // 2 - 1) // 2), odim) + self.pos_enc = pos_enc_class + self.subsampling_rate = 8 + # 14 = (3 - 1) * 1 + (3 - 1) * 2 + (3 - 1) * 4 + self.right_context = 14 + + def forward( + self, + x: torch.Tensor, + x_mask: torch.Tensor, + offset: Union[int, torch.Tensor] = 0 + ) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor]: + """Subsample x. + + Args: + x (torch.Tensor): Input tensor (#batch, time, idim). + x_mask (torch.Tensor): Input mask (#batch, 1, time). + + Returns: + torch.Tensor: Subsampled tensor (#batch, time', odim), + where time' = time // 8. + torch.Tensor: Subsampled mask (#batch, 1, time'), + where time' = time // 8. + torch.Tensor: positional encoding + """ + x = x.unsqueeze(1) # (b, c, t, f) + x = self.conv(x) + b, c, t, f = x.size() + x = self.linear(x.transpose(1, 2).contiguous().view(b, t, c * f)) + x, pos_emb = self.pos_enc(x, offset) + return x, pos_emb, x_mask[:, :, 2::2][:, :, 2::2][:, :, 2::2] + + +class LegacyLinearNoSubsampling(BaseSubsampling): + """Linear transform the input without subsampling + + Args: + idim (int): Input dimension. + odim (int): Output dimension. + dropout_rate (float): Dropout rate. + + """ + + def __init__(self, idim: int, odim: int, dropout_rate: float, + pos_enc_class: torch.nn.Module): + """Construct an linear object.""" + super().__init__() + self.out = torch.nn.Sequential( + torch.nn.Linear(idim, odim), + torch.nn.LayerNorm(odim, eps=1e-5), + torch.nn.Dropout(dropout_rate), + torch.nn.ReLU(), + ) + self.pos_enc = pos_enc_class + self.right_context = 0 + self.subsampling_rate = 1 + + def forward( + self, + x: torch.Tensor, + x_mask: torch.Tensor, + offset: Union[int, torch.Tensor] = 0 + ) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor]: + """Input x. + + Args: + x (torch.Tensor): Input tensor (#batch, time, idim). + x_mask (torch.Tensor): Input mask (#batch, 1, time). + + Returns: + torch.Tensor: linear input tensor (#batch, time', odim), + where time' = time . + torch.Tensor: linear input mask (#batch, 1, time'), + where time' = time . + + """ + x = self.out(x) + x, pos_emb = self.pos_enc(x, offset) + return x, pos_emb, x_mask diff --git a/CosyVoice/cosyvoice/utils/__init__.py b/CosyVoice/cosyvoice/utils/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/CosyVoice/cosyvoice/utils/class_utils.py b/CosyVoice/cosyvoice/utils/class_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..b8cc4714586161487c7019153b960bfb2a029e36 --- /dev/null +++ b/CosyVoice/cosyvoice/utils/class_utils.py @@ -0,0 +1,70 @@ +# Copyright [2023-11-28] +# 2024 Alibaba Inc (authors: Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import torch + +from cosyvoice.transformer.activation import Swish +from cosyvoice.transformer.subsampling import ( + LinearNoSubsampling, + EmbedinigNoSubsampling, + Conv1dSubsampling2, + Conv2dSubsampling4, + Conv2dSubsampling6, + Conv2dSubsampling8, +) +from cosyvoice.transformer.embedding import (PositionalEncoding, + RelPositionalEncoding, + WhisperPositionalEncoding, + LearnablePositionalEncoding, + NoPositionalEncoding) +from cosyvoice.transformer.attention import (MultiHeadedAttention, + RelPositionMultiHeadedAttention) +from cosyvoice.transformer.embedding import EspnetRelPositionalEncoding +from cosyvoice.transformer.subsampling import LegacyLinearNoSubsampling + + +COSYVOICE_ACTIVATION_CLASSES = { + "hardtanh": torch.nn.Hardtanh, + "tanh": torch.nn.Tanh, + "relu": torch.nn.ReLU, + "selu": torch.nn.SELU, + "swish": getattr(torch.nn, "SiLU", Swish), + "gelu": torch.nn.GELU, +} + +COSYVOICE_SUBSAMPLE_CLASSES = { + "linear": LinearNoSubsampling, + "linear_legacy": LegacyLinearNoSubsampling, + "embed": EmbedinigNoSubsampling, + "conv1d2": Conv1dSubsampling2, + "conv2d": Conv2dSubsampling4, + "conv2d6": Conv2dSubsampling6, + "conv2d8": Conv2dSubsampling8, + 'paraformer_dummy': torch.nn.Identity +} + +COSYVOICE_EMB_CLASSES = { + "embed": PositionalEncoding, + "abs_pos": PositionalEncoding, + "rel_pos": RelPositionalEncoding, + "rel_pos_espnet": EspnetRelPositionalEncoding, + "no_pos": NoPositionalEncoding, + "abs_pos_whisper": WhisperPositionalEncoding, + "embed_learnable_pe": LearnablePositionalEncoding, +} + +COSYVOICE_ATTENTION_CLASSES = { + "selfattn": MultiHeadedAttention, + "rel_selfattn": RelPositionMultiHeadedAttention, +} diff --git a/CosyVoice/cosyvoice/utils/common.py b/CosyVoice/cosyvoice/utils/common.py new file mode 100644 index 0000000000000000000000000000000000000000..6ec5e178359031e42c64090eede8aabfdf067afa --- /dev/null +++ b/CosyVoice/cosyvoice/utils/common.py @@ -0,0 +1,103 @@ +# Copyright (c) 2020 Mobvoi Inc (Binbin Zhang) +# 2024 Alibaba Inc (authors: Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# Modified from ESPnet(https://github.com/espnet/espnet) +"""Unility functions for Transformer.""" + +from typing import List + +import torch + +IGNORE_ID = -1 + + +def pad_list(xs: List[torch.Tensor], pad_value: int): + """Perform padding for the list of tensors. + + Args: + xs (List): List of Tensors [(T_1, `*`), (T_2, `*`), ..., (T_B, `*`)]. + pad_value (float): Value for padding. + + Returns: + Tensor: Padded tensor (B, Tmax, `*`). + + Examples: + >>> x = [torch.ones(4), torch.ones(2), torch.ones(1)] + >>> x + [tensor([1., 1., 1., 1.]), tensor([1., 1.]), tensor([1.])] + >>> pad_list(x, 0) + tensor([[1., 1., 1., 1.], + [1., 1., 0., 0.], + [1., 0., 0., 0.]]) + + """ + max_len = max([len(item) for item in xs]) + batchs = len(xs) + ndim = xs[0].ndim + if ndim == 1: + pad_res = torch.zeros(batchs, + max_len, + dtype=xs[0].dtype, + device=xs[0].device) + elif ndim == 2: + pad_res = torch.zeros(batchs, + max_len, + xs[0].shape[1], + dtype=xs[0].dtype, + device=xs[0].device) + elif ndim == 3: + pad_res = torch.zeros(batchs, + max_len, + xs[0].shape[1], + xs[0].shape[2], + dtype=xs[0].dtype, + device=xs[0].device) + else: + raise ValueError(f"Unsupported ndim: {ndim}") + pad_res.fill_(pad_value) + for i in range(batchs): + pad_res[i, :len(xs[i])] = xs[i] + return pad_res + + +def th_accuracy(pad_outputs: torch.Tensor, pad_targets: torch.Tensor, + ignore_label: int) -> torch.Tensor: + """Calculate accuracy. + + Args: + pad_outputs (Tensor): Prediction tensors (B * Lmax, D). + pad_targets (LongTensor): Target label tensors (B, Lmax). + ignore_label (int): Ignore label id. + + Returns: + torch.Tensor: Accuracy value (0.0 - 1.0). + + """ + pad_pred = pad_outputs.view(pad_targets.size(0), pad_targets.size(1), + pad_outputs.size(1)).argmax(2) + mask = pad_targets != ignore_label + numerator = torch.sum( + pad_pred.masked_select(mask) == pad_targets.masked_select(mask)) + denominator = torch.sum(mask) + return (numerator / denominator).detach() + + +def get_padding(kernel_size, dilation=1): + return int((kernel_size * dilation - dilation) / 2) + + +def init_weights(m, mean=0.0, std=0.01): + classname = m.__class__.__name__ + if classname.find("Conv") != -1: + m.weight.data.normal_(mean, std) diff --git a/CosyVoice/cosyvoice/utils/executor.py b/CosyVoice/cosyvoice/utils/executor.py new file mode 100644 index 0000000000000000000000000000000000000000..c12e52df9f41bf8d8c05a65a069f898aec3ef6ca --- /dev/null +++ b/CosyVoice/cosyvoice/utils/executor.py @@ -0,0 +1,110 @@ +# Copyright (c) 2020 Mobvoi Inc (Binbin Zhang) +# 2024 Alibaba Inc (authors: Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import logging +from contextlib import nullcontext +import os + +import torch +import torch.distributed as dist + +from cosyvoice.utils.train_utils import update_parameter_and_lr, log_per_step, log_per_save, batch_forward, batch_backward, save_model, cosyvoice_join + + +class Executor: + + def __init__(self): + self.step = 0 + self.epoch = 0 + self.rank = int(os.environ.get('RANK', 0)) + self.device = torch.device('cuda:{}'.format(self.rank)) + + def train_one_epoc(self, model, optimizer, scheduler, train_data_loader, cv_data_loader, writer, info_dict, group_join): + ''' Train one epoch + ''' + + lr = optimizer.param_groups[0]['lr'] + logging.info('Epoch {} TRAIN info lr {} rank {}'.format(self.epoch, lr, self.rank)) + logging.info('using accumulate grad, new batch size is {} times' + ' larger than before'.format(info_dict['accum_grad'])) + # A context manager to be used in conjunction with an instance of + # torch.nn.parallel.DistributedDataParallel to be able to train + # with uneven inputs across participating processes. + model.train() + model_context = model.join if info_dict['train_engine'] == 'torch_ddp' else nullcontext + with model_context(): + for batch_idx, batch_dict in enumerate(train_data_loader): + info_dict["tag"] = "TRAIN" + info_dict["step"] = self.step + info_dict["epoch"] = self.epoch + info_dict["batch_idx"] = batch_idx + if cosyvoice_join(group_join, info_dict): + break + + # Disable gradient synchronizations across DDP processes. + # Within this context, gradients will be accumulated on module + # variables, which will later be synchronized. + if info_dict['train_engine'] == 'torch_ddp' and (batch_idx + 1) % info_dict["accum_grad"] != 0: + context = model.no_sync + # Used for single gpu training and DDP gradient synchronization + # processes. + else: + context = nullcontext + + with context(): + info_dict = batch_forward(model, batch_dict, info_dict) + info_dict = batch_backward(model, info_dict) + + info_dict = update_parameter_and_lr(model, optimizer, scheduler, info_dict) + log_per_step(writer, info_dict) + # NOTE specify save_per_step in cosyvoice.yaml if you want to enable step save + if info_dict['save_per_step'] > 0 and (self.step + 1) % info_dict['save_per_step'] == 0 and (batch_idx + 1) % info_dict["accum_grad"] == 0: + dist.barrier() + self.cv(model, cv_data_loader, writer, info_dict, on_batch_end=False) + model.train() + if (batch_idx + 1) % info_dict["accum_grad"] == 0: + self.step += 1 + dist.barrier() + self.cv(model, cv_data_loader, writer, info_dict, on_batch_end=True) + + @torch.inference_mode() + def cv(self, model, cv_data_loader, writer, info_dict, on_batch_end=True): + ''' Cross validation on + ''' + logging.info('Epoch {} Step {} on_batch_end {} CV rank {}'.format(self.epoch, self.step + 1, on_batch_end, self.rank)) + model.eval() + total_num_utts, total_loss_dict = 0, {} # avoid division by 0 + for batch_idx, batch_dict in enumerate(cv_data_loader): + info_dict["tag"] = "CV" + info_dict["step"] = self.step + info_dict["epoch"] = self.epoch + info_dict["batch_idx"] = batch_idx + + num_utts = len(batch_dict["utts"]) + total_num_utts += num_utts + + info_dict = batch_forward(model, batch_dict, info_dict) + + for k, v in info_dict['loss_dict'].items(): + if k not in total_loss_dict: + total_loss_dict[k] = [] + total_loss_dict[k].append(v.item() * num_utts) + log_per_step(None, info_dict) + for k, v in total_loss_dict.items(): + total_loss_dict[k] = sum(v) / total_num_utts + info_dict['loss_dict'] = total_loss_dict + log_per_save(writer, info_dict) + model_name = 'epoch_{}_whole'.format(self.epoch) if on_batch_end else 'epoch_{}_step_{}'.format(self.epoch, self.step + 1) + save_model(model, model_name, info_dict) diff --git a/CosyVoice/cosyvoice/utils/file_utils.py b/CosyVoice/cosyvoice/utils/file_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..d4179e109da4073ca9be75767c3f59d2ee68a5cf --- /dev/null +++ b/CosyVoice/cosyvoice/utils/file_utils.py @@ -0,0 +1,53 @@ +# Copyright (c) 2021 Mobvoi Inc. (authors: Binbin Zhang) +# 2024 Alibaba Inc (authors: Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import json +import torchaudio + + +def read_lists(list_file): + lists = [] + with open(list_file, 'r', encoding='utf8') as fin: + for line in fin: + lists.append(line.strip()) + return lists + +def read_json_lists(list_file): + lists = read_lists(list_file) + results = {} + for fn in lists: + with open(fn, 'r', encoding='utf8') as fin: + results.update(json.load(fin)) + return results + +def load_wav(wav, target_sr): + speech, sample_rate = torchaudio.load(wav) + speech = speech.mean(dim=0, keepdim=True) + if sample_rate != target_sr: + assert sample_rate > target_sr, 'wav sample rate {} must be greater than {}'.format(sample_rate, target_sr) + speech = torchaudio.transforms.Resample(orig_freq=sample_rate, new_freq=target_sr)(speech) + return speech + +def speed_change(waveform, sample_rate, speed_factor: str): + effects = [ + ["tempo", speed_factor], # speed_factor + ["rate", f"{sample_rate}"] + ] + augmented_waveform, new_sample_rate = torchaudio.sox_effects.apply_effects_tensor( + waveform, + sample_rate, + effects + ) + return augmented_waveform, new_sample_rate diff --git a/CosyVoice/cosyvoice/utils/frontend_utils.py b/CosyVoice/cosyvoice/utils/frontend_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..59489a7a6fdb442b1134baac3e5eef0211130954 --- /dev/null +++ b/CosyVoice/cosyvoice/utils/frontend_utils.py @@ -0,0 +1,125 @@ +# Copyright (c) 2024 Alibaba Inc (authors: Xiang Lyu, Zhihao Du) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import re +chinese_char_pattern = re.compile(r'[\u4e00-\u9fff]+') + +# whether contain chinese character +def contains_chinese(text): + return bool(chinese_char_pattern.search(text)) + + +# replace special symbol +def replace_corner_mark(text): + text = text.replace('²', '平方') + text = text.replace('³', '立方') + return text + + +# remove meaningless symbol +def remove_bracket(text): + text = text.replace('（', '').replace('）', '') + text = text.replace('【', '').replace('】', '') + text = text.replace('`', '').replace('`', '') + text = text.replace("——", " ") + return text + + +# spell Arabic numerals +def spell_out_number(text: str, inflect_parser): + new_text = [] + st = None + for i, c in enumerate(text): + if not c.isdigit(): + if st is not None: + num_str = inflect_parser.number_to_words(text[st: i]) + new_text.append(num_str) + st = None + new_text.append(c) + else: + if st is None: + st = i + if st is not None and st < len(text): + num_str = inflect_parser.number_to_words(text[st:]) + new_text.append(num_str) + return ''.join(new_text) + + +# split paragrah logic： +# 1. per sentence max len token_max_n, min len token_min_n, merge if last sentence len less than merge_len +# 2. cal sentence len according to lang +# 3. split sentence according to puncatation +def split_paragraph(text: str, tokenize, lang="zh", token_max_n=80, token_min_n=60, merge_len=20, comma_split=False): + def calc_utt_length(_text: str): + if lang == "zh": + return len(_text) + else: + return len(tokenize(_text)) + + def should_merge(_text: str): + if lang == "zh": + return len(_text) < merge_len + else: + return len(tokenize(_text)) < merge_len + + if lang == "zh": + pounc = ['。', '？', '！', '；', '：', '、', '.', '?', '!', ';'] + else: + pounc = ['.', '?', '!', ';', ':'] + if comma_split: + pounc.extend(['，', ',']) + st = 0 + utts = [] + for i, c in enumerate(text): + if c in pounc: + if len(text[st: i]) > 0: + utts.append(text[st: i] + c) + if i + 1 < len(text) and text[i + 1] in ['"', '”']: + tmp = utts.pop(-1) + utts.append(tmp + text[i + 1]) + st = i + 2 + else: + st = i + 1 + if len(utts) == 0: + if lang == "zh": + utts.append(text + '。') + else: + utts.append(text + '.') + final_utts = [] + cur_utt = "" + for utt in utts: + if calc_utt_length(cur_utt + utt) > token_max_n and calc_utt_length(cur_utt) > token_min_n: + final_utts.append(cur_utt) + cur_utt = "" + cur_utt = cur_utt + utt + if len(cur_utt) > 0: + if should_merge(cur_utt) and len(final_utts) != 0: + final_utts[-1] = final_utts[-1] + cur_utt + else: + final_utts.append(cur_utt) + + return final_utts + + +# remove blank between chinese character +def replace_blank(text: str): + out_str = [] + for i, c in enumerate(text): + if c == " ": + if ((text[i + 1].isascii() and text[i + 1] != " ") and + (text[i - 1].isascii() and text[i - 1] != " ")): + out_str.append(c) + else: + out_str.append(c) + return "".join(out_str) diff --git a/CosyVoice/cosyvoice/utils/mask.py b/CosyVoice/cosyvoice/utils/mask.py new file mode 100644 index 0000000000000000000000000000000000000000..2b460bbd5adb4bd61d643ace71400a14fe314236 --- /dev/null +++ b/CosyVoice/cosyvoice/utils/mask.py @@ -0,0 +1,227 @@ +# Copyright (c) 2019 Shigeki Karita +# 2020 Mobvoi Inc (Binbin Zhang) +# 2024 Alibaba Inc (authors: Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import torch +''' +def subsequent_mask( + size: int, + device: torch.device = torch.device("cpu"), +) -> torch.Tensor: + """Create mask for subsequent steps (size, size). + + This mask is used only in decoder which works in an auto-regressive mode. + This means the current step could only do attention with its left steps. + + In encoder, fully attention is used when streaming is not necessary and + the sequence is not long. In this case, no attention mask is needed. + + When streaming is need, chunk-based attention is used in encoder. See + subsequent_chunk_mask for the chunk-based attention mask. + + Args: + size (int): size of mask + str device (str): "cpu" or "cuda" or torch.Tensor.device + dtype (torch.device): result dtype + + Returns: + torch.Tensor: mask + + Examples: + >>> subsequent_mask(3) + [[1, 0, 0], + [1, 1, 0], + [1, 1, 1]] + """ + ret = torch.ones(size, size, device=device, dtype=torch.bool) + return torch.tril(ret) +''' + + +def subsequent_mask( + size: int, + device: torch.device = torch.device("cpu"), +) -> torch.Tensor: + """Create mask for subsequent steps (size, size). + + This mask is used only in decoder which works in an auto-regressive mode. + This means the current step could only do attention with its left steps. + + In encoder, fully attention is used when streaming is not necessary and + the sequence is not long. In this case, no attention mask is needed. + + When streaming is need, chunk-based attention is used in encoder. See + subsequent_chunk_mask for the chunk-based attention mask. + + Args: + size (int): size of mask + str device (str): "cpu" or "cuda" or torch.Tensor.device + dtype (torch.device): result dtype + + Returns: + torch.Tensor: mask + + Examples: + >>> subsequent_mask(3) + [[1, 0, 0], + [1, 1, 0], + [1, 1, 1]] + """ + arange = torch.arange(size, device=device) + mask = arange.expand(size, size) + arange = arange.unsqueeze(-1) + mask = mask <= arange + return mask + + +def subsequent_chunk_mask( + size: int, + chunk_size: int, + num_left_chunks: int = -1, + device: torch.device = torch.device("cpu"), +) -> torch.Tensor: + """Create mask for subsequent steps (size, size) with chunk size, + this is for streaming encoder + + Args: + size (int): size of mask + chunk_size (int): size of chunk + num_left_chunks (int): number of left chunks + <0: use full chunk + >=0: use num_left_chunks + device (torch.device): "cpu" or "cuda" or torch.Tensor.device + + Returns: + torch.Tensor: mask + + Examples: + >>> subsequent_chunk_mask(4, 2) + [[1, 1, 0, 0], + [1, 1, 0, 0], + [1, 1, 1, 1], + [1, 1, 1, 1]] + """ + ret = torch.zeros(size, size, device=device, dtype=torch.bool) + for i in range(size): + if num_left_chunks < 0: + start = 0 + else: + start = max((i // chunk_size - num_left_chunks) * chunk_size, 0) + ending = min((i // chunk_size + 1) * chunk_size, size) + ret[i, start:ending] = True + return ret + + +def add_optional_chunk_mask(xs: torch.Tensor, + masks: torch.Tensor, + use_dynamic_chunk: bool, + use_dynamic_left_chunk: bool, + decoding_chunk_size: int, + static_chunk_size: int, + num_decoding_left_chunks: int, + enable_full_context: bool = True): + """ Apply optional mask for encoder. + + Args: + xs (torch.Tensor): padded input, (B, L, D), L for max length + mask (torch.Tensor): mask for xs, (B, 1, L) + use_dynamic_chunk (bool): whether to use dynamic chunk or not + use_dynamic_left_chunk (bool): whether to use dynamic left chunk for + training. + decoding_chunk_size (int): decoding chunk size for dynamic chunk, it's + 0: default for training, use random dynamic chunk. + <0: for decoding, use full chunk. + >0: for decoding, use fixed chunk size as set. + static_chunk_size (int): chunk size for static chunk training/decoding + if it's greater than 0, if use_dynamic_chunk is true, + this parameter will be ignored + num_decoding_left_chunks: number of left chunks, this is for decoding, + the chunk size is decoding_chunk_size. + >=0: use num_decoding_left_chunks + <0: use all left chunks + enable_full_context (bool): + True: chunk size is either [1, 25] or full context(max_len) + False: chunk size ~ U[1, 25] + + Returns: + torch.Tensor: chunk mask of the input xs. + """ + # Whether to use chunk mask or not + if use_dynamic_chunk: + max_len = xs.size(1) + if decoding_chunk_size < 0: + chunk_size = max_len + num_left_chunks = -1 + elif decoding_chunk_size > 0: + chunk_size = decoding_chunk_size + num_left_chunks = num_decoding_left_chunks + else: + # chunk size is either [1, 25] or full context(max_len). + # Since we use 4 times subsampling and allow up to 1s(100 frames) + # delay, the maximum frame is 100 / 4 = 25. + chunk_size = torch.randint(1, max_len, (1, )).item() + num_left_chunks = -1 + if chunk_size > max_len // 2 and enable_full_context: + chunk_size = max_len + else: + chunk_size = chunk_size % 25 + 1 + if use_dynamic_left_chunk: + max_left_chunks = (max_len - 1) // chunk_size + num_left_chunks = torch.randint(0, max_left_chunks, + (1, )).item() + chunk_masks = subsequent_chunk_mask(xs.size(1), chunk_size, + num_left_chunks, + xs.device) # (L, L) + chunk_masks = chunk_masks.unsqueeze(0) # (1, L, L) + chunk_masks = masks & chunk_masks # (B, L, L) + elif static_chunk_size > 0: + num_left_chunks = num_decoding_left_chunks + chunk_masks = subsequent_chunk_mask(xs.size(1), static_chunk_size, + num_left_chunks, + xs.device) # (L, L) + chunk_masks = chunk_masks.unsqueeze(0) # (1, L, L) + chunk_masks = masks & chunk_masks # (B, L, L) + else: + chunk_masks = masks + return chunk_masks + + +def make_pad_mask(lengths: torch.Tensor, max_len: int = 0) -> torch.Tensor: + """Make mask tensor containing indices of padded part. + + See description of make_non_pad_mask. + + Args: + lengths (torch.Tensor): Batch of lengths (B,). + Returns: + torch.Tensor: Mask tensor containing indices of padded part. + + Examples: + >>> lengths = [5, 3, 2] + >>> make_pad_mask(lengths) + masks = [[0, 0, 0, 0 ,0], + [0, 0, 0, 1, 1], + [0, 0, 1, 1, 1]] + """ + batch_size = lengths.size(0) + max_len = max_len if max_len > 0 else lengths.max().item() + seq_range = torch.arange(0, + max_len, + dtype=torch.int64, + device=lengths.device) + seq_range_expand = seq_range.unsqueeze(0).expand(batch_size, max_len) + seq_length_expand = lengths.unsqueeze(-1) + mask = seq_range_expand >= seq_length_expand + return mask diff --git a/CosyVoice/cosyvoice/utils/scheduler.py b/CosyVoice/cosyvoice/utils/scheduler.py new file mode 100644 index 0000000000000000000000000000000000000000..fbf4803f81bd7a3cee4af7bd8b6af2d3b46304d7 --- /dev/null +++ b/CosyVoice/cosyvoice/utils/scheduler.py @@ -0,0 +1,739 @@ +# Copyright (c) 2020 Mobvoi Inc (Binbin Zhang) +# 2022 Ximalaya Inc (Yuguang Yang) +# 2024 Alibaba Inc (authors: Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# Modified from ESPnet(https://github.com/espnet/espnet) +# NeMo(https://github.com/NVIDIA/NeMo) + +from typing import Union + +import math +import warnings +import torch +from torch.optim.lr_scheduler import _LRScheduler + + +class WarmupLR(_LRScheduler): + """The WarmupLR scheduler + + This scheduler is almost same as NoamLR Scheduler except for following + difference: + + NoamLR: + lr = optimizer.lr * model_size ** -0.5 + * min(step ** -0.5, step * warmup_step ** -1.5) + WarmupLR: + lr = optimizer.lr * warmup_step ** 0.5 + * min(step ** -0.5, step * warmup_step ** -1.5) + + Note that the maximum lr equals to optimizer.lr in this scheduler. + + """ + + def __init__( + self, + optimizer: torch.optim.Optimizer, + warmup_steps: Union[int, float] = 25000, + last_epoch: int = -1, + ): + self.warmup_steps = warmup_steps + + # __init__() must be invoked before setting field + # because step() is also invoked in __init__() + super().__init__(optimizer, last_epoch) + + def __repr__(self): + return f"{self.__class__.__name__}(warmup_steps={self.warmup_steps})" + + def get_lr(self): + step_num = self.last_epoch + 1 + if self.warmup_steps == 0: + return [lr * step_num**-0.5 for lr in self.base_lrs] + else: + return [ + lr * self.warmup_steps**0.5 * + min(step_num**-0.5, step_num * self.warmup_steps**-1.5) + for lr in self.base_lrs + ] + + def set_step(self, step: int): + self.last_epoch = step + + +class WarmupPolicy(_LRScheduler): + """Adds warmup kwargs and warmup logic to lr policy. + All arguments should be passed as kwargs for clarity, + Args: + warmup_steps: Number of training steps in warmup stage + warmup_ratio: Ratio of warmup steps to total steps + max_steps: Total number of steps while training or `None` for + infinite training + """ + + def __init__(self, + optimizer, + *, + warmup_steps=None, + warmup_ratio=None, + max_steps=None, + min_lr=0.0, + last_epoch=-1): + assert not (warmup_steps is not None and warmup_ratio is not None),\ + "Either use particular number of step or ratio" + assert warmup_ratio is None or max_steps is not None, \ + "If there is a ratio, there should be a total steps" + + # It is necessary to assign all attributes *before* __init__, + # as class is wrapped by an inner class. + self.max_steps = max_steps + if warmup_steps is not None: + self.warmup_steps = warmup_steps + elif warmup_ratio is not None: + self.warmup_steps = int(warmup_ratio * max_steps) + else: + self.warmup_steps = 0 + + self.min_lr = min_lr + super().__init__(optimizer, last_epoch) + + def get_lr(self): + if not self._get_lr_called_within_step: + warnings.warn( + "To get the last learning rate computed " + "by the scheduler, please use `get_last_lr()`.", + UserWarning, + stacklevel=2) + + step = self.last_epoch + + if step <= self.warmup_steps and self.warmup_steps > 0: + return self._get_warmup_lr(step) + + if step > self.max_steps: + return [self.min_lr for _ in self.base_lrs] + + return self._get_lr(step) + + def _get_warmup_lr(self, step): + lr_val = (step + 1) / (self.warmup_steps + 1) + return [initial_lr * lr_val for initial_lr in self.base_lrs] + + def _get_lr(self, step): + """Simple const lr policy""" + return self.base_lrs + + +class SquareRootConstantPolicy(_LRScheduler): + """Adds warmup kwargs and warmup logic to lr policy. + All arguments should be passed as kwargs for clarity, + Args: + warmup_steps: Number of training steps in warmup stage + warmup_ratio: Ratio of warmup steps to total steps + max_steps: Total number of steps while training or `None` for + infinite training + """ + + def __init__(self, + optimizer, + *, + constant_steps=None, + constant_ratio=None, + max_steps=None, + min_lr=0.0, + last_epoch=-1): + assert not (constant_steps is not None + and constant_ratio is not None), \ + "Either use particular number of step or ratio" + assert constant_ratio is None or max_steps is not None, \ + "If there is a ratio, there should be a total steps" + + # It is necessary to assign all attributes *before* __init__, + # as class is wrapped by an inner class. + self.max_steps = max_steps + if constant_steps is not None: + self.constant_steps = constant_steps + elif constant_ratio is not None: + self.constant_steps = int(constant_ratio * max_steps) + else: + self.constant_steps = 0 + + self.constant_lr = 1 / (constant_steps**0.5) + self.min_lr = min_lr + super().__init__(optimizer, last_epoch) + + def get_lr(self): + if not self._get_lr_called_within_step: + warnings.warn( + "To get the last learning rate computed " + "by the scheduler, please use `get_last_lr()`.", + UserWarning, + stacklevel=2) + + step = self.last_epoch + + if step <= self.constant_steps: + return [self.constant_lr for _ in self.base_lrs] + + if step > self.max_steps: + return [self.min_lr for _ in self.base_lrs] + + return self._get_lr(step) + + def _get_lr(self, step): + """Simple const lr policy""" + return self.base_lrs + + +class WarmupHoldPolicy(WarmupPolicy): + """Variant of WarmupPolicy which maintains high + learning rate for a defined number of steps. + All arguments should be passed as kwargs for clarity, + Args: + warmup_steps: Number of training steps in warmup stage + warmup_ratio: Ratio of warmup steps to total steps + hold_steps: Number of training steps to + hold the learning rate after warm up + hold_ratio: Ratio of hold steps to total steps + max_steps: Total number of steps while training or `None` for + infinite training + """ + + def __init__( + self, + optimizer, + *, + warmup_steps=None, + warmup_ratio=None, + hold_steps=None, + hold_ratio=None, + max_steps=None, + min_lr=0.0, + last_epoch=-1, + ): + assert not (hold_steps is not None and hold_ratio is not None), \ + "Either use particular number of step or ratio" + assert hold_ratio is None or max_steps is not None, \ + "If there is a ratio, there should be a total steps" + + self.min_lr = min_lr + self._last_warmup_lr = 0.0 + + # Necessary to duplicate as class attributes are hidden in inner class + self.max_steps = max_steps + if warmup_steps is not None: + self.warmup_steps = warmup_steps + elif warmup_ratio is not None: + self.warmup_steps = int(warmup_ratio * max_steps) + else: + self.warmup_steps = 0 + + if hold_steps is not None: + self.hold_steps = hold_steps + self.warmup_steps + elif hold_ratio is not None: + self.hold_steps = int(hold_ratio * max_steps) + self.warmup_steps + else: + self.hold_steps = 0 + + super().__init__( + optimizer, + warmup_steps=warmup_steps, + warmup_ratio=warmup_ratio, + max_steps=max_steps, + last_epoch=last_epoch, + min_lr=min_lr, + ) + + def get_lr(self): + if not self._get_lr_called_within_step: + warnings.warn( + "To get the last learning rate computed by the scheduler," + " " + "please use `get_last_lr()`.", + UserWarning, + stacklevel=2) + + step = self.last_epoch + + # Warmup phase + if step <= self.warmup_steps and self.warmup_steps > 0: + return self._get_warmup_lr(step) + + # Hold phase + if (step >= self.warmup_steps) and (step < self.hold_steps): + return self.base_lrs + + if step > self.max_steps: + return [self.min_lr for _ in self.base_lrs] + + return self._get_lr(step) + + +class WarmupAnnealHoldPolicy(_LRScheduler): + """Adds warmup kwargs and warmup logic to lr policy. + All arguments should be passed as kwargs for clarity, + Args: + warmup_steps: Number of training steps in warmup stage + warmup_ratio: Ratio of warmup steps to total steps + max_steps: Total number of steps while training or `None` for + infinite training + min_lr: Minimum lr to hold the learning rate after decay at. + constant_steps: Number of steps to keep lr constant at. + constant_ratio: Ratio of steps to keep lr constant. + """ + + def __init__( + self, + optimizer, + *, + warmup_steps=None, + warmup_ratio=None, + constant_steps=None, + constant_ratio=None, + max_steps=None, + min_lr=0.0, + last_epoch=-1, + ): + assert not (warmup_steps is not None + and warmup_ratio is not None), \ + "Either use particular number of step or ratio" + assert not (constant_steps is not None + and constant_ratio is not None), \ + "Either use constant_steps or constant_ratio" + assert warmup_ratio is None or max_steps is not None, \ + "If there is a ratio, there should be a total steps" + + # It is necessary to assign all attributes *before* __init__, + # as class is wrapped by an inner class. + self.max_steps = max_steps + + if warmup_steps is not None: + self.warmup_steps = warmup_steps + elif warmup_ratio is not None: + self.warmup_steps = int(warmup_ratio * max_steps) + else: + self.warmup_steps = 0 + + if constant_steps is not None: + self.constant_steps = constant_steps + elif constant_ratio is not None: + self.constant_steps = int(constant_ratio * max_steps) + else: + self.constant_steps = 0 + + self.decay_steps = max_steps - (self.constant_steps + + self.warmup_steps) + + self.min_lr = min_lr + super().__init__(optimizer, last_epoch) + + def get_lr(self): + if not self._get_lr_called_within_step: + warnings.warn( + "To get the last learning rate computed " + "by the scheduler, please use `get_last_lr()`.", + UserWarning, + stacklevel=2) + + step = self.last_epoch + + # Warmup steps + if self.warmup_steps > 0 and step <= self.warmup_steps: + return self._get_warmup_lr(step) + + # Constant steps after warmup and decay + if self.constant_steps > 0 and ( + self.warmup_steps + self.decay_steps) < step <= self.max_steps: + return self._get_constant_lr(step) + + # Min lr after max steps of updates + if step > self.max_steps: + return [self.min_lr for _ in self.base_lrs] + + return self._get_lr(step) + + def _get_warmup_lr(self, step): + lr_val = (step + 1) / (self.warmup_steps + 1) + return [initial_lr * lr_val for initial_lr in self.base_lrs] + + def _get_constant_lr(self, step): + return [self.min_lr for _ in self.base_lrs] + + def _get_lr(self, step): + """Simple const lr policy""" + return self.base_lrs + + +def _squareroot_annealing(initial_lr, step, max_steps, min_lr): + mult = ((max_steps - step) / max_steps)**0.5 + out_lr = initial_lr * mult + out_lr = max(out_lr, min_lr) + return out_lr + + +def _square_annealing(initial_lr, step, max_steps, min_lr): + mult = ((max_steps - step) / max_steps)**2 + out_lr = initial_lr * mult + out_lr = max(out_lr, min_lr) + return out_lr + + +def _cosine_annealing(initial_lr, step, max_steps, min_lr): + mult = 0.5 * (1 + math.cos(math.pi * step / max_steps)) + out_lr = (initial_lr - min_lr) * mult + min_lr + return out_lr + + +def _linear_warmup_with_cosine_annealing(max_lr, warmup_steps, step, + decay_steps, min_lr): + assert max_lr > min_lr + # Use linear warmup for the initial part. + if warmup_steps > 0 and step <= warmup_steps: + return max_lr * float(step) / float(warmup_steps) + + # For any steps larger than `decay_steps`, use `min_lr`. + if step > warmup_steps + decay_steps: + return min_lr + + # If we are done with the warmup period, use the decay style. + num_steps_ = step - warmup_steps + decay_steps_ = decay_steps + decay_ratio = float(num_steps_) / float(decay_steps_) + assert decay_ratio >= 0.0 + assert decay_ratio <= 1.0 + delta_lr = max_lr - min_lr + + coeff = 0.5 * (math.cos(math.pi * decay_ratio) + 1.0) + + return min_lr + coeff * delta_lr + + +def _poly_decay(initial_lr, step, decay_steps, power, min_lr, cycle): + if cycle: + multiplier = 1.0 if step == 0 else math.ceil(step / decay_steps) + decay_steps *= multiplier + else: + step = min(step, decay_steps) + p = step / decay_steps + lr = (initial_lr - min_lr) * math.pow(1.0 - p, power) + lr += min_lr + return lr + + +def _noam_hold_annealing(initial_lr, step, warmup_steps, hold_steps, + decay_rate, min_lr): + # hold_steps = total number of steps + # to hold the LR, not the warmup + hold steps. + T_warmup_decay = max(1, warmup_steps**decay_rate) + T_hold_decay = max(1, (step - hold_steps)**decay_rate) + lr = (initial_lr * T_warmup_decay) / T_hold_decay + lr = max(lr, min_lr) + return lr + + +class SquareAnnealing(WarmupPolicy): + + def __init__(self, + optimizer, + *, + max_steps, + min_lr=1e-5, + last_epoch=-1, + **kwargs): + super().__init__(optimizer=optimizer, + max_steps=max_steps, + last_epoch=last_epoch, + min_lr=min_lr, + **kwargs) + + def _get_lr(self, step): + new_lrs = [ + _square_annealing( + initial_lr=initial_lr, + step=step - self.warmup_steps, + max_steps=self.max_steps - self.warmup_steps, + min_lr=self.min_lr, + ) for initial_lr in self.base_lrs + ] + return new_lrs + + +class SquareRootAnnealing(WarmupPolicy): + + def __init__(self, + optimizer, + *, + max_steps, + min_lr=0, + last_epoch=-1, + **kwargs): + super().__init__(optimizer=optimizer, + max_steps=max_steps, + last_epoch=last_epoch, + min_lr=min_lr, + **kwargs) + + def _get_lr(self, step): + new_lrs = [ + _squareroot_annealing(initial_lr=initial_lr, + step=step, + max_steps=self.max_steps, + min_lr=self.min_lr) + for initial_lr in self.base_lrs + ] + return new_lrs + + +class CosineAnnealing(WarmupAnnealHoldPolicy): + + def __init__(self, + optimizer, + *, + max_steps, + min_lr=0, + last_epoch=-1, + **kwargs): + super().__init__(optimizer=optimizer, + max_steps=max_steps, + last_epoch=last_epoch, + min_lr=min_lr, + **kwargs) + + def _get_lr(self, step): + for initial_lr in self.base_lrs: + if initial_lr < self.min_lr: + raise ValueError( + f"{self} received an initial learning rate " + f"that was lower than the minimum learning rate.") + + if self.constant_steps is None or self.constant_steps == 0: + new_lrs = [ + _cosine_annealing( + initial_lr=initial_lr, + step=step - self.warmup_steps, + max_steps=self.max_steps - self.warmup_steps, + min_lr=self.min_lr, + ) for initial_lr in self.base_lrs + ] + else: + new_lrs = self._get_linear_warmup_with_cosine_annealing_lr(step) + return new_lrs + + def _get_warmup_lr(self, step): + if self.constant_steps is None or self.constant_steps == 0: + return super()._get_warmup_lr(step) + else: + # Use linear warmup for the initial part. + return self._get_linear_warmup_with_cosine_annealing_lr(step) + + def _get_constant_lr(self, step): + # Only called when `constant_steps` > 0. + return self._get_linear_warmup_with_cosine_annealing_lr(step) + + def _get_linear_warmup_with_cosine_annealing_lr(self, step): + # Cosine Schedule for Megatron LM, + # slightly different warmup schedule + constant LR at the end. + new_lrs = [ + _linear_warmup_with_cosine_annealing( + max_lr=self.base_lrs[0], + warmup_steps=self.warmup_steps, + step=step, + decay_steps=self.decay_steps, + min_lr=self.min_lr, + ) for _ in self.base_lrs + ] + return new_lrs + + +class NoamAnnealing(_LRScheduler): + + def __init__(self, + optimizer, + *, + d_model, + warmup_steps=None, + warmup_ratio=None, + max_steps=None, + min_lr=0.0, + last_epoch=-1): + self._normalize = d_model**(-0.5) + assert not (warmup_steps is not None + and warmup_ratio is not None), \ + "Either use particular number of step or ratio" + assert warmup_ratio is None or max_steps is not None, \ + "If there is a ratio, there should be a total steps" + + # It is necessary to assign all attributes *before* __init__, + # as class is wrapped by an inner class. + self.max_steps = max_steps + if warmup_steps is not None: + self.warmup_steps = warmup_steps + elif warmup_ratio is not None: + self.warmup_steps = int(warmup_ratio * max_steps) + else: + self.warmup_steps = 0 + + self.min_lr = min_lr + super().__init__(optimizer, last_epoch) + + def get_lr(self): + if not self._get_lr_called_within_step: + warnings.warn( + "To get the last learning rate computed " + "by the scheduler, please use `get_last_lr()`.", + UserWarning, + stacklevel=2) + + step = max(1, self.last_epoch) + + for initial_lr in self.base_lrs: + if initial_lr < self.min_lr: + raise ValueError( + f"{self} received an initial learning rate " + f"that was lower than the minimum learning rate.") + + new_lrs = [ + self._noam_annealing(initial_lr=initial_lr, step=step) + for initial_lr in self.base_lrs + ] + return new_lrs + + def _noam_annealing(self, initial_lr, step): + if self.warmup_steps > 0: + mult = self._normalize * min(step**(-0.5), + step * (self.warmup_steps**(-1.5))) + else: + mult = self._normalize * step**(-0.5) + + out_lr = initial_lr * mult + if step > self.warmup_steps: + out_lr = max(out_lr, self.min_lr) + return out_lr + + +class NoamHoldAnnealing(WarmupHoldPolicy): + + def __init__(self, + optimizer, + *, + max_steps, + decay_rate=0.5, + min_lr=0.0, + last_epoch=-1, + **kwargs): + """ + From Nemo: + Implementation of the Noam Hold Annealing policy + from the SqueezeFormer paper. + + Unlike NoamAnnealing, the peak learning rate + can be explicitly set for this scheduler. + The schedule first performs linear warmup, + then holds the peak LR, then decays with some schedule for + the remainder of the steps. + Therefore the min-lr is still dependent + on the hyper parameters selected. + + It's schedule is determined by three factors- + + Warmup Steps: Initial stage, where linear warmup + occurs uptil the peak LR is reached. Unlike NoamAnnealing, + the peak LR is explicitly stated here instead of a scaling factor. + + Hold Steps: Intermediate stage, where the peak LR + is maintained for some number of steps. In this region, + the high peak LR allows the model to converge faster + if training is stable. However the high LR + may also cause instability during training. + Should usually be a significant fraction of training + steps (around 30-40% of the entire training steps). + + Decay Steps: Final stage, where the LR rapidly decays + with some scaling rate (set by decay rate). + To attain Noam decay, use 0.5, + for Squeezeformer recommended decay, use 1.0. + The fast decay after prolonged high LR during + hold phase allows for rapid convergence. + + References: + - [Squeezeformer: + An Efficient Transformer for Automatic Speech Recognition] + (https://arxiv.org/abs/2206.00888) + + Args: + optimizer: Pytorch compatible Optimizer object. + warmup_steps: Number of training steps in warmup stage + warmup_ratio: Ratio of warmup steps to total steps + hold_steps: Number of training steps to + hold the learning rate after warm up + hold_ratio: Ratio of hold steps to total steps + max_steps: Total number of steps while training or `None` for + infinite training + decay_rate: Float value describing the polynomial decay + after the hold period. Default value + of 0.5 corresponds to Noam decay. + min_lr: Minimum learning rate. + """ + self.decay_rate = decay_rate + super().__init__(optimizer=optimizer, + max_steps=max_steps, + last_epoch=last_epoch, + min_lr=min_lr, + **kwargs) + + def _get_lr(self, step): + if self.warmup_steps is None or self.warmup_steps == 0: + raise ValueError( + "Noam scheduler cannot be used without warmup steps") + + if self.hold_steps > 0: + hold_steps = self.hold_steps - self.warmup_steps + else: + hold_steps = 0 + + new_lrs = [ + _noam_hold_annealing( + initial_lr, + step=step, + warmup_steps=self.warmup_steps, + hold_steps=hold_steps, + decay_rate=self.decay_rate, + min_lr=self.min_lr, + ) for initial_lr in self.base_lrs + ] + return new_lrs + + def set_step(self, step: int): + self.last_epoch = step + + +class ConstantLR(_LRScheduler): + """The ConstantLR scheduler + + This scheduler keeps a constant lr + + """ + + def __init__( + self, + optimizer: torch.optim.Optimizer, + ): + # __init__() must be invoked before setting field + # because step() is also invoked in __init__() + super().__init__(optimizer) + + def get_lr(self): + return self.base_lrs + + def set_step(self, step: int): + self.last_epoch = step diff --git a/CosyVoice/cosyvoice/utils/train_utils.py b/CosyVoice/cosyvoice/utils/train_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..f8d7b4586c71c389624e6fc9ea6d81c3372d0370 --- /dev/null +++ b/CosyVoice/cosyvoice/utils/train_utils.py @@ -0,0 +1,289 @@ +# Copyright (c) 2021 Mobvoi Inc. (authors: Binbin Zhang) +# 2023 Horizon Inc. (authors: Xingchen Song) +# 2024 Alibaba Inc (authors: Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from contextlib import nullcontext +import logging +import os +import torch +import json +import re +import datetime +import yaml + +import deepspeed +import torch.optim as optim +import torch.distributed as dist + +from torch.utils.tensorboard import SummaryWriter +from torch.utils.data import DataLoader +from torch.nn.utils import clip_grad_norm_ + +from deepspeed.runtime.zero.stage_1_and_2 import estimate_zero2_model_states_mem_needs_all_live + +from cosyvoice.dataset.dataset import Dataset +from cosyvoice.utils.scheduler import WarmupLR, NoamHoldAnnealing, ConstantLR + + +def init_distributed(args): + world_size = int(os.environ.get('WORLD_SIZE', 1)) + local_rank = int(os.environ.get('LOCAL_RANK', 0)) + rank = int(os.environ.get('RANK', 0)) + logging.info('training on multiple gpus, this gpu {}'.format(local_rank) + + ', rank {}, world_size {}'.format(rank, world_size)) + if args.train_engine == 'torch_ddp': + torch.cuda.set_device(local_rank) + dist.init_process_group(args.dist_backend) + else: + deepspeed.init_distributed(dist_backend=args.dist_backend) + return world_size, local_rank, rank + + +def init_dataset_and_dataloader(args, configs): + train_dataset = Dataset(args.train_data, data_pipeline=configs['data_pipeline'], mode='train', shuffle=True, partition=True) + cv_dataset = Dataset(args.cv_data, data_pipeline=configs['data_pipeline'], mode='train', shuffle=False, partition=False) + + # do not use persistent_workers=True, as whisper tokenizer opens tiktoken file each time when the for loop starts + train_data_loader = DataLoader(train_dataset, + batch_size=None, + pin_memory=args.pin_memory, + num_workers=args.num_workers, + prefetch_factor=args.prefetch) + cv_data_loader = DataLoader(cv_dataset, + batch_size=None, + pin_memory=args.pin_memory, + num_workers=args.num_workers, + prefetch_factor=args.prefetch) + return train_dataset, cv_dataset, train_data_loader, cv_data_loader + + + +def check_modify_and_save_config(args, configs): + if args.train_engine == "torch_ddp": + configs['train_conf']["dtype"] = 'fp32' + else: + with open(args.deepspeed_config, 'r') as fin: + ds_configs = json.load(fin) + if "fp16" in ds_configs and ds_configs["fp16"]["enabled"]: + configs['train_conf']["dtype"] = "fp16" + elif "bf16" in ds_configs and ds_configs["bf16"]["enabled"]: + configs['train_conf']["dtype"] = "bf16" + else: + configs['train_conf']["dtype"] = "fp32" + assert ds_configs["train_micro_batch_size_per_gpu"] == 1 + # if use deepspeed, override ddp config + configs['train_conf']['save_per_step'] = int(configs['train_conf']['save_per_step'] * configs['train_conf']['accum_grad'] / ds_configs["gradient_accumulation_steps"]) + configs['train_conf']['accum_grad'] = ds_configs["gradient_accumulation_steps"] + configs['train_conf']['grad_clip'] = ds_configs["gradient_clipping"] + configs['train_conf']['log_interval'] = ds_configs["steps_per_print"] + return configs + + +def wrap_cuda_model(args, model): + local_world_size = int(os.environ.get('LOCAL_WORLD_SIZE', 1)) + world_size = int(os.environ.get('WORLD_SIZE', 1)) + if args.train_engine == "torch_ddp": # native pytorch ddp + assert (torch.cuda.is_available()) + model.cuda() + model = torch.nn.parallel.DistributedDataParallel(model, find_unused_parameters=True) + else: + if int(os.environ.get('RANK', 0)) == 0: + logging.info("Estimating model states memory needs (zero2)...") + estimate_zero2_model_states_mem_needs_all_live( + model, + num_gpus_per_node=local_world_size, + num_nodes=world_size // local_world_size) + return model + + +def init_optimizer_and_scheduler(args, configs, model): + if configs['train_conf']['optim'] == 'adam': + optimizer = optim.Adam(model.parameters(), **configs['train_conf']['optim_conf']) + elif configs['train_conf']['optim'] == 'adamw': + optimizer = optim.AdamW(model.parameters(), **configs['train_conf']['optim_conf']) + else: + raise ValueError("unknown optimizer: " + configs['train_conf']) + + if configs['train_conf']['scheduler'] == 'warmuplr': + scheduler_type = WarmupLR + scheduler = WarmupLR(optimizer, **configs['train_conf']['scheduler_conf']) + elif configs['train_conf']['scheduler'] == 'NoamHoldAnnealing': + scheduler_type = NoamHoldAnnealing + scheduler = NoamHoldAnnealing(optimizer, **configs['train_conf']['scheduler_conf']) + elif configs['train_conf']['scheduler'] == 'constantlr': + scheduler_type = ConstantLR + scheduler = ConstantLR(optimizer) + else: + raise ValueError("unknown scheduler: " + configs['train_conf']) + + # use deepspeed optimizer for speedup + if args.train_engine == "deepspeed": + def scheduler(opt): + return scheduler_type(opt, **configs['train_conf']['scheduler_conf']) + model, optimizer, _, scheduler = deepspeed.initialize( + args=args, + model=model, + optimizer=None, + lr_scheduler=scheduler, + model_parameters=model.parameters()) + + return model, optimizer, scheduler + + +def init_summarywriter(args): + writer = None + if int(os.environ.get('RANK', 0)) == 0: + os.makedirs(args.model_dir, exist_ok=True) + writer = SummaryWriter(args.tensorboard_dir) + return writer + + +def save_model(model, model_name, info_dict): + rank = int(os.environ.get('RANK', 0)) + model_dir = info_dict["model_dir"] + save_model_path = os.path.join(model_dir, '{}.pt'.format(model_name)) + + if info_dict["train_engine"] == "torch_ddp": + if rank == 0: + torch.save(model.module.state_dict(), save_model_path) + else: + with torch.no_grad(): + model.save_checkpoint(save_dir=model_dir, + tag=model_name, + client_state=info_dict) + if rank == 0: + info_path = re.sub('.pt$', '.yaml', save_model_path) + info_dict['save_time'] = datetime.datetime.now().strftime('%d/%m/%Y %H:%M:%S') + with open(info_path, 'w') as fout: + data = yaml.dump(info_dict) + fout.write(data) + logging.info('[Rank {}] Checkpoint: save to checkpoint {}'.format(rank, save_model_path)) + + +def cosyvoice_join(group_join, info_dict): + world_size = int(os.environ.get('WORLD_SIZE', 1)) + local_rank = int(os.environ.get('LOCAL_RANK', 0)) + rank = int(os.environ.get('RANK', 0)) + + if info_dict["batch_idx"] != 0: + # we try to join all rank in both ddp and deepspeed mode, in case different rank has different lr + try: + dist.monitored_barrier(group=group_join, + timeout=group_join.options._timeout) + return False + except RuntimeError as e: + logging.info("Detected uneven workload distribution: {}\n".format(e) + + "Break current worker to manually join all workers, " + + "world_size {}, current rank {}, current local_rank {}\n". + format(world_size, rank, local_rank)) + return True + else: + return False + + +def batch_forward(model, batch, info_dict): + device = int(os.environ.get('LOCAL_RANK', 0)) + + dtype = info_dict["dtype"] + if dtype == "fp16": + dtype = torch.float16 + elif dtype == "bf16": + dtype = torch.bfloat16 + else: # fp32 + dtype = torch.float32 + + if info_dict['train_engine'] == 'torch_ddp': + autocast = nullcontext() + else: + autocast = torch.cuda.amp.autocast(enabled=True, dtype=dtype, cache_enabled=False) + + with autocast: + info_dict['loss_dict'] = model(batch, device) + return info_dict + + +def batch_backward(model, info_dict): + if info_dict["train_engine"] == "deepspeed": + scaled_loss = model.backward(info_dict['loss_dict']['loss']) + else: + scaled_loss = info_dict['loss_dict']['loss'] / info_dict['accum_grad'] + scaled_loss.backward() + + info_dict['loss_dict']['loss'] = scaled_loss + return info_dict + + +def update_parameter_and_lr(model, optimizer, scheduler, info_dict): + grad_norm = 0.0 + if info_dict['train_engine'] == "deepspeed": + info_dict["is_gradient_accumulation_boundary"] = model.is_gradient_accumulation_boundary() + model.step() + grad_norm = model.get_global_grad_norm() + elif (info_dict['batch_idx'] + 1) % info_dict["accum_grad"] == 0: + grad_norm = clip_grad_norm_(model.parameters(), info_dict['grad_clip']) + if torch.isfinite(grad_norm): + optimizer.step() + optimizer.zero_grad() + scheduler.step() + info_dict["lr"] = optimizer.param_groups[0]['lr'] + info_dict["grad_norm"] = grad_norm + return info_dict + + +def log_per_step(writer, info_dict): + tag = info_dict["tag"] + epoch = info_dict.get('epoch', 0) + step = info_dict["step"] + batch_idx = info_dict["batch_idx"] + loss_dict = info_dict['loss_dict'] + rank = int(os.environ.get('RANK', 0)) + + # only rank 0 write to tensorboard to avoid multi-process write + if writer is not None: + if (info_dict['train_engine'] == 'deepspeed' and info_dict['is_gradient_accumulation_boundary'] is True) or \ + (info_dict['train_engine'] == 'torch_ddp' and (info_dict['batch_idx'] + 1) % info_dict['accum_grad'] == 0): + for k in ['epoch', 'lr', 'grad_norm']: + writer.add_scalar('{}/{}'.format(tag, k), info_dict[k], step + 1) + for k, v in loss_dict.items(): + writer.add_scalar('{}/{}'.format(tag, k), v, step + 1) + + # TRAIN & CV, Shell log (stdout) + if (info_dict['batch_idx'] + 1) % info_dict['log_interval'] == 0: + log_str = '{} Batch {}/{} '.format(tag, epoch, batch_idx + 1) + for name, value in loss_dict.items(): + log_str += '{} {:.6f} '.format(name, value) + if tag == "TRAIN": + log_str += 'lr {:.8f} grad_norm {:.6f}'.format( + info_dict["lr"], info_dict['grad_norm']) + log_str += ' rank {}'.format(rank) + logging.debug(log_str) + + +def log_per_save(writer, info_dict): + tag = info_dict["tag"] + epoch = info_dict["epoch"] + step = info_dict["step"] + loss_dict = info_dict["loss_dict"] + lr = info_dict['lr'] + rank = int(os.environ.get('RANK', 0)) + logging.info( + 'Epoch {} Step {} CV info lr {} {} rank {}'.format( + epoch, step + 1, lr, rank, ' '.join(['{}_{}'.format(k, v) for k, v in loss_dict.items()]))) + + if writer is not None: + for k in ['epoch', 'lr']: + writer.add_scalar('{}/{}'.format(tag, k), info_dict[k], step + 1) + for k, v in loss_dict.items(): + writer.add_scalar('{}/{}'.format(tag, k), v, step + 1) diff --git a/CosyVoice/examples/libritts/cosyvoice/conf/cosyvoice.fromscratch.yaml b/CosyVoice/examples/libritts/cosyvoice/conf/cosyvoice.fromscratch.yaml new file mode 100644 index 0000000000000000000000000000000000000000..54b6e7b5cb253ff1b4be88238203033473870e2b --- /dev/null +++ b/CosyVoice/examples/libritts/cosyvoice/conf/cosyvoice.fromscratch.yaml @@ -0,0 +1,198 @@ +# set random seed, so that you may reproduce your result. +__set_seed1: !apply:random.seed [1986] +__set_seed2: !apply:numpy.random.seed [1986] +__set_seed3: !apply:torch.manual_seed [1986] +__set_seed4: !apply:torch.cuda.manual_seed_all [1986] + +# fixed params +sample_rate: 22050 +text_encoder_input_size: 512 +llm_input_size: 1024 +llm_output_size: 1024 +spk_embed_dim: 192 + +# model params +# for all class/function included in this repo, we use ! or ! for intialization, so that user may find all corresponding class/function according to one single yaml. +# for system/third_party class/function, we do not require this. +llm: !new:cosyvoice.llm.llm.TransformerLM + text_encoder_input_size: !ref + llm_input_size: !ref + llm_output_size: !ref + text_token_size: 51866 + speech_token_size: 4096 + length_normalized_loss: True + lsm_weight: 0 + spk_embed_dim: !ref + text_encoder: !new:cosyvoice.transformer.encoder.ConformerEncoder + input_size: !ref + output_size: 1024 + attention_heads: 8 + linear_units: 2048 + num_blocks: 3 + dropout_rate: 0.1 + positional_dropout_rate: 0.1 + attention_dropout_rate: 0 + normalize_before: True + input_layer: 'linear' + pos_enc_layer_type: 'rel_pos_espnet' + selfattention_layer_type: 'rel_selfattn' + use_cnn_module: False + macaron_style: False + use_dynamic_chunk: False + use_dynamic_left_chunk: False + static_chunk_size: 1 + llm: !new:cosyvoice.transformer.encoder.TransformerEncoder + input_size: !ref + output_size: !ref + attention_heads: 8 + linear_units: 2048 + num_blocks: 7 + dropout_rate: 0.1 + positional_dropout_rate: 0.1 + attention_dropout_rate: 0 + input_layer: 'linear_legacy' + pos_enc_layer_type: 'rel_pos_espnet' + selfattention_layer_type: 'rel_selfattn' + static_chunk_size: 1 + +flow: !new:cosyvoice.flow.flow.MaskedDiffWithXvec + input_size: 512 + output_size: 80 + spk_embed_dim: !ref + output_type: 'mel' + vocab_size: 4096 + input_frame_rate: 50 + only_mask_loss: True + encoder: !new:cosyvoice.transformer.encoder.ConformerEncoder + output_size: 512 + attention_heads: 4 + linear_units: 1024 + num_blocks: 3 + dropout_rate: 0.1 + positional_dropout_rate: 0.1 + attention_dropout_rate: 0.1 + normalize_before: True + input_layer: 'linear' + pos_enc_layer_type: 'rel_pos_espnet' + selfattention_layer_type: 'rel_selfattn' + input_size: 512 + use_cnn_module: False + macaron_style: False + length_regulator: !new:cosyvoice.flow.length_regulator.InterpolateRegulator + channels: 80 + sampling_ratios: [1, 1, 1, 1] + decoder: !new:cosyvoice.flow.flow_matching.ConditionalCFM + in_channels: 240 + n_spks: 1 + spk_emb_dim: 80 + cfm_params: !new:omegaconf.DictConfig + content: + sigma_min: 1e-06 + solver: 'euler' + t_scheduler: 'cosine' + training_cfg_rate: 0.2 + inference_cfg_rate: 0.7 + reg_loss_type: 'l1' + estimator: !new:cosyvoice.flow.decoder.ConditionalDecoder + in_channels: 320 + out_channels: 80 + channels: [256, 256] + dropout: 0 + attention_head_dim: 64 + n_blocks: 4 + num_mid_blocks: 8 + num_heads: 8 + act_fn: 'gelu' + +hift: !new:cosyvoice.hifigan.generator.HiFTGenerator + in_channels: 80 + base_channels: 512 + nb_harmonics: 8 + sampling_rate: !ref + nsf_alpha: 0.1 + nsf_sigma: 0.003 + nsf_voiced_threshold: 10 + upsample_rates: [8, 8] + upsample_kernel_sizes: [16, 16] + istft_params: + n_fft: 16 + hop_len: 4 + resblock_kernel_sizes: [3, 7, 11] + resblock_dilation_sizes: [[1, 3, 5], [1, 3, 5], [1, 3, 5]] + source_resblock_kernel_sizes: [7, 11] + source_resblock_dilation_sizes: [[1, 3, 5], [1, 3, 5]] + lrelu_slope: 0.1 + audio_limit: 0.99 + f0_predictor: !new:cosyvoice.hifigan.f0_predictor.ConvRNNF0Predictor + num_class: 1 + in_channels: 80 + cond_channels: 512 + +# processor functions +parquet_opener: !name:cosyvoice.dataset.processor.parquet_opener +get_tokenizer: !name:whisper.tokenizer.get_tokenizer + multilingual: True + num_languages: 100 + language: 'en' + task: 'transcribe' +allowed_special: 'all' +tokenize: !name:cosyvoice.dataset.processor.tokenize + get_tokenizer: !ref + allowed_special: !ref +filter: !name:cosyvoice.dataset.processor.filter + max_length: 40960 + min_length: 0 + token_max_length: 200 + token_min_length: 1 +resample: !name:cosyvoice.dataset.processor.resample + resample_rate: !ref +feat_extractor: !name:matcha.utils.audio.mel_spectrogram + n_fft: 1024 + num_mels: 80 + sampling_rate: !ref + hop_size: 256 + win_size: 1024 + fmin: 0 + fmax: 8000 + center: False +compute_fbank: !name:cosyvoice.dataset.processor.compute_fbank + feat_extractor: !ref +parse_embedding: !name:cosyvoice.dataset.processor.parse_embedding + normalize: True +shuffle: !name:cosyvoice.dataset.processor.shuffle + shuffle_size: 1000 +sort: !name:cosyvoice.dataset.processor.sort + sort_size: 500 # sort_size should be less than shuffle_size +batch: !name:cosyvoice.dataset.processor.batch + batch_type: 'dynamic' + max_frames_in_batch: 12000 +padding: !name:cosyvoice.dataset.processor.padding + use_spk_embedding: False # change to True during sft + +# dataset processor pipeline +data_pipeline: [ + !ref , + !ref , + !ref , + !ref , + !ref , + !ref , + !ref , + !ref , + !ref , + !ref , +] + +# train conf +train_conf: + optim: adam + optim_conf: + lr: 0.002 # change to 0.001 if you want to train flow from scratch + scheduler: warmuplr + scheduler_conf: + warmup_steps: 25000 + max_epoch: 200 + grad_clip: 5 + accum_grad: 2 + log_interval: 100 + save_per_step: -1 \ No newline at end of file diff --git a/CosyVoice/examples/libritts/cosyvoice/conf/cosyvoice.yaml b/CosyVoice/examples/libritts/cosyvoice/conf/cosyvoice.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f43af16827ba692b5552f8c242d6139e1a3e4302 --- /dev/null +++ b/CosyVoice/examples/libritts/cosyvoice/conf/cosyvoice.yaml @@ -0,0 +1,198 @@ +# set random seed, so that you may reproduce your result. +__set_seed1: !apply:random.seed [1986] +__set_seed2: !apply:numpy.random.seed [1986] +__set_seed3: !apply:torch.manual_seed [1986] +__set_seed4: !apply:torch.cuda.manual_seed_all [1986] + +# fixed params +sample_rate: 22050 +text_encoder_input_size: 512 +llm_input_size: 1024 +llm_output_size: 1024 +spk_embed_dim: 192 + +# model params +# for all class/function included in this repo, we use ! or ! for intialization, so that user may find all corresponding class/function according to one single yaml. +# for system/third_party class/function, we do not require this. +llm: !new:cosyvoice.llm.llm.TransformerLM + text_encoder_input_size: !ref + llm_input_size: !ref + llm_output_size: !ref + text_token_size: 51866 + speech_token_size: 4096 + length_normalized_loss: True + lsm_weight: 0 + spk_embed_dim: !ref + text_encoder: !new:cosyvoice.transformer.encoder.ConformerEncoder + input_size: !ref + output_size: 1024 + attention_heads: 16 + linear_units: 4096 + num_blocks: 6 + dropout_rate: 0.1 + positional_dropout_rate: 0.1 + attention_dropout_rate: 0 + normalize_before: True + input_layer: 'linear' + pos_enc_layer_type: 'rel_pos_espnet' + selfattention_layer_type: 'rel_selfattn' + use_cnn_module: False + macaron_style: False + use_dynamic_chunk: False + use_dynamic_left_chunk: False + static_chunk_size: 1 + llm: !new:cosyvoice.transformer.encoder.TransformerEncoder + input_size: !ref + output_size: !ref + attention_heads: 16 + linear_units: 4096 + num_blocks: 14 + dropout_rate: 0.1 + positional_dropout_rate: 0.1 + attention_dropout_rate: 0 + input_layer: 'linear_legacy' + pos_enc_layer_type: 'rel_pos_espnet' + selfattention_layer_type: 'rel_selfattn' + static_chunk_size: 1 + +flow: !new:cosyvoice.flow.flow.MaskedDiffWithXvec + input_size: 512 + output_size: 80 + spk_embed_dim: !ref + output_type: 'mel' + vocab_size: 4096 + input_frame_rate: 50 + only_mask_loss: True + encoder: !new:cosyvoice.transformer.encoder.ConformerEncoder + output_size: 512 + attention_heads: 8 + linear_units: 2048 + num_blocks: 6 + dropout_rate: 0.1 + positional_dropout_rate: 0.1 + attention_dropout_rate: 0.1 + normalize_before: True + input_layer: 'linear' + pos_enc_layer_type: 'rel_pos_espnet' + selfattention_layer_type: 'rel_selfattn' + input_size: 512 + use_cnn_module: False + macaron_style: False + length_regulator: !new:cosyvoice.flow.length_regulator.InterpolateRegulator + channels: 80 + sampling_ratios: [1, 1, 1, 1] + decoder: !new:cosyvoice.flow.flow_matching.ConditionalCFM + in_channels: 240 + n_spks: 1 + spk_emb_dim: 80 + cfm_params: !new:omegaconf.DictConfig + content: + sigma_min: 1e-06 + solver: 'euler' + t_scheduler: 'cosine' + training_cfg_rate: 0.2 + inference_cfg_rate: 0.7 + reg_loss_type: 'l1' + estimator: !new:cosyvoice.flow.decoder.ConditionalDecoder + in_channels: 320 + out_channels: 80 + channels: [256, 256] + dropout: 0 + attention_head_dim: 64 + n_blocks: 4 + num_mid_blocks: 12 + num_heads: 8 + act_fn: 'gelu' + +hift: !new:cosyvoice.hifigan.generator.HiFTGenerator + in_channels: 80 + base_channels: 512 + nb_harmonics: 8 + sampling_rate: !ref + nsf_alpha: 0.1 + nsf_sigma: 0.003 + nsf_voiced_threshold: 10 + upsample_rates: [8, 8] + upsample_kernel_sizes: [16, 16] + istft_params: + n_fft: 16 + hop_len: 4 + resblock_kernel_sizes: [3, 7, 11] + resblock_dilation_sizes: [[1, 3, 5], [1, 3, 5], [1, 3, 5]] + source_resblock_kernel_sizes: [7, 11] + source_resblock_dilation_sizes: [[1, 3, 5], [1, 3, 5]] + lrelu_slope: 0.1 + audio_limit: 0.99 + f0_predictor: !new:cosyvoice.hifigan.f0_predictor.ConvRNNF0Predictor + num_class: 1 + in_channels: 80 + cond_channels: 512 + +# processor functions +parquet_opener: !name:cosyvoice.dataset.processor.parquet_opener +get_tokenizer: !name:whisper.tokenizer.get_tokenizer + multilingual: True + num_languages: 100 + language: 'en' + task: 'transcribe' +allowed_special: 'all' +tokenize: !name:cosyvoice.dataset.processor.tokenize + get_tokenizer: !ref + allowed_special: !ref +filter: !name:cosyvoice.dataset.processor.filter + max_length: 40960 + min_length: 0 + token_max_length: 200 + token_min_length: 1 +resample: !name:cosyvoice.dataset.processor.resample + resample_rate: !ref +feat_extractor: !name:matcha.utils.audio.mel_spectrogram + n_fft: 1024 + num_mels: 80 + sampling_rate: !ref + hop_size: 256 + win_size: 1024 + fmin: 0 + fmax: 8000 + center: False +compute_fbank: !name:cosyvoice.dataset.processor.compute_fbank + feat_extractor: !ref +parse_embedding: !name:cosyvoice.dataset.processor.parse_embedding + normalize: True +shuffle: !name:cosyvoice.dataset.processor.shuffle + shuffle_size: 1000 +sort: !name:cosyvoice.dataset.processor.sort + sort_size: 500 # sort_size should be less than shuffle_size +batch: !name:cosyvoice.dataset.processor.batch + batch_type: 'dynamic' + max_frames_in_batch: 2000 +padding: !name:cosyvoice.dataset.processor.padding + use_spk_embedding: False # change to True during sft + +# dataset processor pipeline +data_pipeline: [ + !ref , + !ref , + !ref , + !ref , + !ref , + !ref , + !ref , + !ref , + !ref , + !ref , +] + +# train conf +train_conf: + optim: adam + optim_conf: + lr: 0.001 # change to 1e-5 during sft + scheduler: warmuplr # change to constantlr during sft + scheduler_conf: + warmup_steps: 2500 + max_epoch: 200 + grad_clip: 5 + accum_grad: 2 + log_interval: 100 + save_per_step: -1 \ No newline at end of file diff --git a/CosyVoice/examples/libritts/cosyvoice/conf/ds_stage2.json b/CosyVoice/examples/libritts/cosyvoice/conf/ds_stage2.json new file mode 100644 index 0000000000000000000000000000000000000000..2b2de3df7fe50968269ecafbf1f4ab9eb210f322 --- /dev/null +++ b/CosyVoice/examples/libritts/cosyvoice/conf/ds_stage2.json @@ -0,0 +1,42 @@ +{ + "train_micro_batch_size_per_gpu": 1, + "gradient_accumulation_steps": 1, + "steps_per_print": 100, + "gradient_clipping": 5, + "fp16": { + "enabled": false, + "auto_cast": false, + "loss_scale": 0, + "initial_scale_power": 16, + "loss_scale_window": 256, + "hysteresis": 2, + "consecutive_hysteresis": false, + "min_loss_scale": 1 + }, + "bf16": { + "enabled": false + }, + "zero_force_ds_cpu_optimizer": false, + "zero_optimization": { + "stage": 2, + "offload_optimizer": { + "device": "none", + "pin_memory": true + }, + "allgather_partitions": true, + "allgather_bucket_size": 5e8, + "overlap_comm": false, + "reduce_scatter": true, + "reduce_bucket_size": 5e8, + "contiguous_gradients" : true + }, + "optimizer": { + "type": "AdamW", + "params": { + "lr": 0.001, + "weight_decay": 0.0001, + "torch_adam": true, + "adam_w_mode": true + } + } +} \ No newline at end of file diff --git a/CosyVoice/examples/libritts/cosyvoice/local/download_and_untar.sh b/CosyVoice/examples/libritts/cosyvoice/local/download_and_untar.sh new file mode 100644 index 0000000000000000000000000000000000000000..ec1360afea16a70d162e8c3098733e7657910f3d --- /dev/null +++ b/CosyVoice/examples/libritts/cosyvoice/local/download_and_untar.sh @@ -0,0 +1,97 @@ +#!/bin/bash + +# Copyright 2014 Johns Hopkins University (author: Daniel Povey) +# Apache 2.0 + +remove_archive=false + +if [ "$1" == --remove-archive ]; then + remove_archive=true + shift +fi + +if [ $# -ne 3 ]; then + echo "Usage: $0 [--remove-archive] " + echo "e.g.: $0 /export/a15/vpanayotov/data www.openslr.org/resources/11 dev-clean" + echo "With --remove-archive it will remove the archive after successfully un-tarring it." + echo " can be one of: dev-clean, test-clean, dev-other, test-other," + echo " train-clean-100, train-clean-360, train-other-500." + exit 1 +fi + +data=$1 +url=$2 +part=$3 + +if [ ! -d "$data" ]; then + echo "$0: no such directory $data" + exit 1 +fi + +part_ok=false +list="dev-clean test-clean dev-other test-other train-clean-100 train-clean-360 train-other-500" +for x in $list; do + if [ "$part" == $x ]; then part_ok=true; fi +done +if ! $part_ok; then + echo "$0: expected to be one of $list, but got '$part'" + exit 1 +fi + +if [ -z "$url" ]; then + echo "$0: empty URL base." + exit 1 +fi + +if [ -f $data/LibriTTS/$part/.complete ]; then + echo "$0: data part $part was already successfully extracted, nothing to do." + exit 0 +fi + + +# sizes of the archive files in bytes. This is some older versions. +sizes_old="371012589 347390293 379743611 361838298 6420417880 23082659865 30626749128" +# sizes_new is the archive file sizes of the final release. Some of these sizes are of +# things we probably won't download. +sizes_new="337926286 314305928 695964615 297279345 87960560420 33373768 346663984 328757843 6387309499 23049477885 30593501606" + +if [ -f $data/$part.tar.gz ]; then + size=$(/bin/ls -l $data/$part.tar.gz | awk '{print $5}') + size_ok=false + for s in $sizes_old $sizes_new; do if [ $s == $size ]; then size_ok=true; fi; done + if ! $size_ok; then + echo "$0: removing existing file $data/$part.tar.gz because its size in bytes $size" + echo "does not equal the size of one of the archives." + rm $data/$part.tar.gz + else + echo "$data/$part.tar.gz exists and appears to be complete." + fi +fi + +if [ ! -f $data/$part.tar.gz ]; then + if ! which wget >/dev/null; then + echo "$0: wget is not installed." + exit 1 + fi + full_url=$url/$part.tar.gz + echo "$0: downloading data from $full_url. This may take some time, please be patient." + + if ! wget -P $data --no-check-certificate $full_url; then + echo "$0: error executing wget $full_url" + exit 1 + fi +fi + +if ! tar -C $data -xvzf $data/$part.tar.gz; then + echo "$0: error un-tarring archive $data/$part.tar.gz" + exit 1 +fi + +touch $data/LibriTTS/$part/.complete + +echo "$0: Successfully downloaded and un-tarred $data/$part.tar.gz" + +if $remove_archive; then + echo "$0: removing $data/$part.tar.gz file since --remove-archive option was supplied." + rm $data/$part.tar.gz +fi diff --git a/CosyVoice/examples/libritts/cosyvoice/local/prepare_data.py b/CosyVoice/examples/libritts/cosyvoice/local/prepare_data.py new file mode 100644 index 0000000000000000000000000000000000000000..92482261fd26843e4881f987e8c5ff8c66de9163 --- /dev/null +++ b/CosyVoice/examples/libritts/cosyvoice/local/prepare_data.py @@ -0,0 +1,51 @@ +import argparse +import logging +import glob +import os +from tqdm import tqdm + + +logger = logging.getLogger() + +def main(): + wavs = list(glob.glob('{}/*/*/*wav'.format(args.src_dir))) + + utt2wav, utt2text, utt2spk, spk2utt = {}, {}, {}, {} + for wav in tqdm(wavs): + txt = wav.replace('.wav', '.normalized.txt') + if not os.path.exists(txt): + logger.warning('{} do not exsist'.format(txt)) + continue + with open(txt) as f: + content = ''.join(l.replace('\n', '') for l in f.readline()) + utt = os.path.basename(wav).replace('.wav', '') + spk = utt.split('_')[0] + utt2wav[utt] = wav + utt2text[utt] = content + utt2spk[utt] = spk + if spk not in spk2utt: + spk2utt[spk] = [] + spk2utt[spk].append(utt) + + with open('{}/wav.scp'.format(args.des_dir), 'w') as f: + for k, v in utt2wav.items(): + f.write('{} {}\n'.format(k, v)) + with open('{}/text'.format(args.des_dir), 'w') as f: + for k, v in utt2text.items(): + f.write('{} {}\n'.format(k, v)) + with open('{}/utt2spk'.format(args.des_dir), 'w') as f: + for k, v in utt2spk.items(): + f.write('{} {}\n'.format(k, v)) + with open('{}/spk2utt'.format(args.des_dir), 'w') as f: + for k, v in spk2utt.items(): + f.write('{} {}\n'.format(k, ' '.join(v))) + return + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument('--src_dir', + type=str) + parser.add_argument('--des_dir', + type=str) + args = parser.parse_args() + main() diff --git a/CosyVoice/examples/libritts/cosyvoice/path.sh b/CosyVoice/examples/libritts/cosyvoice/path.sh new file mode 100644 index 0000000000000000000000000000000000000000..e0fa06ca2168b64b7c06cc81ae5a36d1aa08a613 --- /dev/null +++ b/CosyVoice/examples/libritts/cosyvoice/path.sh @@ -0,0 +1,3 @@ +# NOTE(kan-bayashi): Use UTF-8 in Python to avoid UnicodeDecodeError when LC_ALL=C +export PYTHONIOENCODING=UTF-8 +export PYTHONPATH=../../../:../../../third_party/Matcha-TTS:$PYTHONPATH diff --git a/CosyVoice/examples/libritts/cosyvoice/run.sh b/CosyVoice/examples/libritts/cosyvoice/run.sh new file mode 100644 index 0000000000000000000000000000000000000000..96eca9b9026bc23945e70c99ff3c0a759887d883 --- /dev/null +++ b/CosyVoice/examples/libritts/cosyvoice/run.sh @@ -0,0 +1,105 @@ +#!/bin/bash +# Copyright 2024 Alibaba Inc. All Rights Reserved. +. ./path.sh || exit 1; + +stage=-1 +stop_stage=3 + +data_url=www.openslr.org/resources/60 +data_dir=/mnt/lyuxiang.lx/data/tts/openslr/libritts +pretrained_model_dir=../../../pretrained_models/CosyVoice-300M + +if [ ${stage} -le -1 ] && [ ${stop_stage} -ge -1 ]; then + echo "Data Download" + for part in dev-clean test-clean dev-other test-other train-clean-100 train-clean-360 train-other-500; do + local/download_and_untar.sh ${data_dir} ${data_url} ${part} + done +fi + +if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then + echo "Data preparation, prepare wav.scp/text/utt2spk/spk2utt" + for x in train-clean-100 train-clean-360 train-other-500 dev-clean dev-other test-clean test-other; do + mkdir -p data/$x + python local/prepare_data.py --src_dir $data_dir/LibriTTS/$x --des_dir data/$x + done +fi + +if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then + echo "Extract campplus speaker embedding, you will get spk2embedding.pt and utt2embedding.pt in data/$x dir" + for x in train-clean-100 train-clean-360 train-other-500 dev-clean dev-other test-clean test-other; do + tools/extract_embedding.py --dir data/$x \ + --onnx_path $pretrained_model_dir/campplus.onnx + done +fi + +if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then + echo "Extract discrete speech token, you will get utt2speech_token.pt in data/$x dir" + for x in train-clean-100 train-clean-360 train-other-500 dev-clean dev-other test-clean test-other; do + tools/extract_speech_token.py --dir data/$x \ + --onnx_path $pretrained_model_dir/speech_tokenizer_v1.onnx + done +fi + +if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then + echo "Prepare required parquet format data, you should have prepared wav.scp/text/utt2spk/spk2utt/utt2embedding.pt/spk2embedding.pt/utt2speech_token.pt" + for x in train-clean-100 train-clean-360 train-other-500 dev-clean dev-other test-clean test-other; do + mkdir -p data/$x/parquet + tools/make_parquet_list.py --num_utts_per_parquet 1000 \ + --num_processes 10 \ + --src_dir data/$x \ + --des_dir data/$x/parquet + done +fi + +# inference +if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then + echo "Run inference. Please make sure utt in tts_text is in prompt_data" + for mode in sft zero_shot; do + python cosyvoice/bin/inference.py --mode $mode \ + --gpu 0 \ + --config conf/cosyvoice.yaml \ + --prompt_data data/test-clean/parquet/data.list \ + --prompt_utt2data data/test-clean/parquet/utt2data.list \ + --tts_text `pwd`/tts_text.json \ + --llm_model $pretrained_model_dir/llm.pt \ + --flow_model $pretrained_model_dir/flow.pt \ + --hifigan_model $pretrained_model_dir/hift.pt \ + --result_dir `pwd`/exp/cosyvoice/test-clean/$mode + done +fi + +# train llm +export CUDA_VISIBLE_DEVICES="0,1,2,3" +num_gpus=$(echo $CUDA_VISIBLE_DEVICES | awk -F "," '{print NF}') +job_id=1986 +dist_backend="nccl" +num_workers=2 +prefetch=100 +train_engine=torch_ddp +if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then + echo "Run train. We only support llm traning for now. If your want to train from scratch, please use conf/cosyvoice.fromscratch.yaml" + if [ $train_engine == 'deepspeed' ]; then + echo "Notice deepspeed has its own optimizer config. Modify conf/ds_stage2.json if necessary" + fi + cat data/{train-clean-100,train-clean-360,train-other-500}/parquet/data.list > data/train.data.list + cat data/{dev-clean,dev-other}/parquet/data.list > data/dev.data.list + for model in llm; do + torchrun --nnodes=1 --nproc_per_node=$num_gpus \ + --rdzv_id=$job_id --rdzv_backend="c10d" --rdzv_endpoint="localhost:0" \ + cosyvoice/bin/train.py \ + --train_engine $train_engine \ + --config conf/cosyvoice.yaml \ + --train_data data/train.data.list \ + --cv_data data/dev.data.list \ + --model $model \ + --checkpoint $pretrained_model_dir/$model.pt \ + --model_dir `pwd`/exp/cosyvoice/$model/$train_engine \ + --tensorboard_dir `pwd`/tensorboard/cosyvoice/$model/$train_engine \ + --ddp.dist_backend $dist_backend \ + --num_workers ${num_workers} \ + --prefetch ${prefetch} \ + --pin_memory \ + --deepspeed_config ./conf/ds_stage2.json \ + --deepspeed.save_states model+optimizer + done +fi \ No newline at end of file diff --git a/CosyVoice/examples/libritts/cosyvoice/tts_text.json b/CosyVoice/examples/libritts/cosyvoice/tts_text.json new file mode 100644 index 0000000000000000000000000000000000000000..9f3e8d9f7326b7e2eb9b9cbcfc9611d8f5c8bd9d --- /dev/null +++ b/CosyVoice/examples/libritts/cosyvoice/tts_text.json @@ -0,0 +1,5 @@ +{ + "1089_134686_000002_000000": [ + "hello, my name is Jack. What is your name?" + ] +} \ No newline at end of file diff --git a/CosyVoice/requirements.txt b/CosyVoice/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..c7a7f7d2249e0169724a06aa55234f727c95fde5 --- /dev/null +++ b/CosyVoice/requirements.txt @@ -0,0 +1,31 @@ +--extra-index-url https://download.pytorch.org/whl/cu118 +conformer==0.3.2 +deepspeed==0.14.2; sys_platform == 'linux' +diffusers==0.27.2 +gdown==5.1.0 +gradio==4.32.2 +grpcio==1.57.0 +grpcio-tools==1.57.0 +hydra-core==1.3.2 +HyperPyYAML==1.2.2 +inflect==7.3.1 +librosa==0.10.2 +lightning==2.2.4 +matplotlib==3.7.5 +modelscope==1.15.0 +networkx==3.1 +omegaconf==2.3.0 +onnxruntime-gpu==1.16.0; sys_platform == 'linux' +onnxruntime==1.16.0; sys_platform == 'darwin' or sys_platform == 'windows' +openai-whisper==20231117 +protobuf==4.25 +pydantic==2.7.0 +rich==13.7.1 +soundfile==0.12.1 +tensorboard==2.14.0 +torch==2.0.1 +torchaudio==2.0.2 +wget==3.2 +fastapi==0.111.0 +fastapi-cli==0.0.4 +WeTextProcessing==1.0.3 diff --git a/CosyVoice/runtime/python/Dockerfile b/CosyVoice/runtime/python/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..6b5e9442bfabd2c2238fb8ba32ea387a140d2cb8 --- /dev/null +++ b/CosyVoice/runtime/python/Dockerfile @@ -0,0 +1,13 @@ +FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime +ENV DEBIAN_FRONTEND=noninteractive + +WORKDIR /opt/CosyVoice + +RUN sed -i s@/archive.ubuntu.com/@/mirrors.aliyun.com/@g /etc/apt/sources.list +RUN apt-get update -y +RUN apt-get -y install git unzip git-lfs +RUN git lfs install +RUN git clone --recursive https://github.com/FunAudioLLM/CosyVoice.git +# here we use python==3.10 because we cannot find an image which have both python3.8 and torch2.0.1-cu118 installed +RUN cd CosyVoice && pip3 install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host=mirrors.aliyun.com +RUN cd CosyVoice/runtime/python/grpc && python3 -m grpc_tools.protoc -I. --python_out=. --grpc_python_out=. cosyvoice.proto \ No newline at end of file diff --git a/CosyVoice/runtime/python/fastapi/client.py b/CosyVoice/runtime/python/fastapi/client.py new file mode 100644 index 0000000000000000000000000000000000000000..cf32092d7ce047ef82c5dc2ee036a299e5ba7cdf --- /dev/null +++ b/CosyVoice/runtime/python/fastapi/client.py @@ -0,0 +1,78 @@ +import argparse +import logging +import requests + +def saveResponse(path, response): + # 以二进制写入模式打开文件 + with open(path, 'wb') as file: + # 将响应的二进制内容写入文件 + file.write(response.content) + +def main(): + api = args.api_base + if args.mode == 'sft': + url = api + "/api/inference/sft" + payload={ + 'tts': args.tts_text, + 'role': args.spk_id + } + response = requests.request("POST", url, data=payload) + saveResponse(args.tts_wav, response) + elif args.mode == 'zero_shot': + url = api + "/api/inference/zero-shot" + payload={ + 'tts': args.tts_text, + 'prompt': args.prompt_text + } + files=[('audio', ('prompt_audio.wav', open(args.prompt_wav,'rb'), 'application/octet-stream'))] + response = requests.request("POST", url, data=payload, files=files) + saveResponse(args.tts_wav, response) + elif args.mode == 'cross_lingual': + url = api + "/api/inference/cross-lingual" + payload={ + 'tts': args.tts_text, + } + files=[('audio', ('prompt_audio.wav', open(args.prompt_wav,'rb'), 'application/octet-stream'))] + response = requests.request("POST", url, data=payload, files=files) + saveResponse(args.tts_wav, response) + else: + url = api + "/api/inference/instruct" + payload = { + 'tts': args.tts_text, + 'role': args.spk_id, + 'instruct': args.instruct_text + } + response = requests.request("POST", url, data=payload) + saveResponse(args.tts_wav, response) + logging.info("Response save to {}", args.tts_wav) + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument('--api_base', + type=str, + default='http://127.0.0.1:6006') + parser.add_argument('--mode', + default='sft', + choices=['sft', 'zero_shot', 'cross_lingual', 'instruct'], + help='request mode') + parser.add_argument('--tts_text', + type=str, + default='你好，我是通义千问语音合成大模型，请问有什么可以帮您的吗？') + parser.add_argument('--spk_id', + type=str, + default='中文女') + parser.add_argument('--prompt_text', + type=str, + default='希望你以后能够做的比我还好呦。') + parser.add_argument('--prompt_wav', + type=str, + default='../../../zero_shot_prompt.wav') + parser.add_argument('--instruct_text', + type=str, + default='Theo \'Crimson\', is a fiery, passionate rebel leader. Fights with fervor for justice, but struggles with impulsiveness.') + parser.add_argument('--tts_wav', + type=str, + default='demo.wav') + args = parser.parse_args() + prompt_sr, target_sr = 16000, 22050 + main() diff --git a/CosyVoice/runtime/python/fastapi/server.py b/CosyVoice/runtime/python/fastapi/server.py new file mode 100644 index 0000000000000000000000000000000000000000..b670665b6f2b77636ae86893e2a6e3b023084d23 --- /dev/null +++ b/CosyVoice/runtime/python/fastapi/server.py @@ -0,0 +1,119 @@ +# Set inference model +# export MODEL_DIR=pretrained_models/CosyVoice-300M-Instruct +# For development +# fastapi dev --port 6006 fastapi_server.py +# For production deployment +# fastapi run --port 6006 fastapi_server.py + +import os +import sys +import io,time +from fastapi import FastAPI, Response, File, UploadFile, Form +from fastapi.responses import HTMLResponse +from fastapi.middleware.cors import CORSMiddleware #引入 CORS中间件模块 +from contextlib import asynccontextmanager +ROOT_DIR = os.path.dirname(os.path.abspath(__file__)) +sys.path.append('{}/../../..'.format(ROOT_DIR)) +sys.path.append('{}/../../../third_party/Matcha-TTS'.format(ROOT_DIR)) +from cosyvoice.cli.cosyvoice import CosyVoice +from cosyvoice.utils.file_utils import load_wav +import numpy as np +import torch +import torchaudio +import logging +logging.getLogger('matplotlib').setLevel(logging.WARNING) + +class LaunchFailed(Exception): + pass + +@asynccontextmanager +async def lifespan(app: FastAPI): + model_dir = os.getenv("MODEL_DIR", "pretrained_models/CosyVoice-300M-SFT") + if model_dir: + logging.info("MODEL_DIR is {}", model_dir) + app.cosyvoice = CosyVoice(model_dir) + # sft usage + logging.info("Avaliable speakers {}", app.cosyvoice.list_avaliable_spks()) + else: + raise LaunchFailed("MODEL_DIR environment must set") + yield + +app = FastAPI(lifespan=lifespan) + +#设置允许访问的域名 +origins = ["*"] #"*"，即为所有,也可以改为允许的特定ip。 +app.add_middleware( + CORSMiddleware, + allow_origins=origins, #设置允许的origins来源 + allow_credentials=True, + allow_methods=["*"], # 设置允许跨域的http方法，比如 get、post、put等。 + allow_headers=["*"]) #允许跨域的headers，可以用来鉴别来源等作用。 + +def buildResponse(output): + buffer = io.BytesIO() + torchaudio.save(buffer, output, 22050, format="wav") + buffer.seek(0) + return Response(content=buffer.read(-1), media_type="audio/wav") + +@app.post("/api/inference/sft") +@app.get("/api/inference/sft") +async def sft(tts: str = Form(), role: str = Form()): + start = time.process_time() + output = app.cosyvoice.inference_sft(tts, role) + end = time.process_time() + logging.info("infer time is {} seconds", end-start) + return buildResponse(output['tts_speech']) + +@app.post("/api/inference/zero-shot") +async def zeroShot(tts: str = Form(), prompt: str = Form(), audio: UploadFile = File()): + start = time.process_time() + prompt_speech = load_wav(audio.file, 16000) + prompt_audio = (prompt_speech.numpy() * (2**15)).astype(np.int16).tobytes() + prompt_speech_16k = torch.from_numpy(np.array(np.frombuffer(prompt_audio, dtype=np.int16))).unsqueeze(dim=0) + prompt_speech_16k = prompt_speech_16k.float() / (2**15) + + output = app.cosyvoice.inference_zero_shot(tts, prompt, prompt_speech_16k) + end = time.process_time() + logging.info("infer time is {} seconds", end-start) + return buildResponse(output['tts_speech']) + +@app.post("/api/inference/cross-lingual") +async def crossLingual(tts: str = Form(), audio: UploadFile = File()): + start = time.process_time() + prompt_speech = load_wav(audio.file, 16000) + prompt_audio = (prompt_speech.numpy() * (2**15)).astype(np.int16).tobytes() + prompt_speech_16k = torch.from_numpy(np.array(np.frombuffer(prompt_audio, dtype=np.int16))).unsqueeze(dim=0) + prompt_speech_16k = prompt_speech_16k.float() / (2**15) + + output = app.cosyvoice.inference_cross_lingual(tts, prompt_speech_16k) + end = time.process_time() + logging.info("infer time is {} seconds", end-start) + return buildResponse(output['tts_speech']) + +@app.post("/api/inference/instruct") +@app.get("/api/inference/instruct") +async def instruct(tts: str = Form(), role: str = Form(), instruct: str = Form()): + start = time.process_time() + output = app.cosyvoice.inference_instruct(tts, role, instruct) + end = time.process_time() + logging.info("infer time is {} seconds", end-start) + return buildResponse(output['tts_speech']) + +@app.get("/api/roles") +async def roles(): + return {"roles": app.cosyvoice.list_avaliable_spks()} + +@app.get("/", response_class=HTMLResponse) +async def root(): + return """ + + + + + Api information + + + Get the supported tones from the Roles API first, then enter the tones and textual content in the TTS API for synthesis. Documents of API + + + """ diff --git a/CosyVoice/runtime/python/grpc/client.py b/CosyVoice/runtime/python/grpc/client.py new file mode 100644 index 0000000000000000000000000000000000000000..9d1c27de6e09dcb0eca98a5ac9a65bbfda1078b1 --- /dev/null +++ b/CosyVoice/runtime/python/grpc/client.py @@ -0,0 +1,102 @@ +# Copyright (c) 2024 Alibaba Inc (authors: Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import os +import sys +ROOT_DIR = os.path.dirname(os.path.abspath(__file__)) +sys.path.append('{}/../../..'.format(ROOT_DIR)) +sys.path.append('{}/../../../third_party/Matcha-TTS'.format(ROOT_DIR)) +import logging +import argparse +import torchaudio +import cosyvoice_pb2 +import cosyvoice_pb2_grpc +import grpc +import torch +import numpy as np +from cosyvoice.utils.file_utils import load_wav + + +def main(): + with grpc.insecure_channel("{}:{}".format(args.host, args.port)) as channel: + stub = cosyvoice_pb2_grpc.CosyVoiceStub(channel) + request = cosyvoice_pb2.Request() + if args.mode == 'sft': + logging.info('send sft request') + sft_request = cosyvoice_pb2.sftRequest() + sft_request.spk_id = args.spk_id + sft_request.tts_text = args.tts_text + request.sft_request.CopyFrom(sft_request) + elif args.mode == 'zero_shot': + logging.info('send zero_shot request') + zero_shot_request = cosyvoice_pb2.zeroshotRequest() + zero_shot_request.tts_text = args.tts_text + zero_shot_request.prompt_text = args.prompt_text + prompt_speech = load_wav(args.prompt_wav, 16000) + zero_shot_request.prompt_audio = (prompt_speech.numpy() * (2**15)).astype(np.int16).tobytes() + request.zero_shot_request.CopyFrom(zero_shot_request) + elif args.mode == 'cross_lingual': + logging.info('send cross_lingual request') + cross_lingual_request = cosyvoice_pb2.crosslingualRequest() + cross_lingual_request.tts_text = args.tts_text + prompt_speech = load_wav(args.prompt_wav, 16000) + cross_lingual_request.prompt_audio = (prompt_speech.numpy() * (2**15)).astype(np.int16).tobytes() + request.cross_lingual_request.CopyFrom(cross_lingual_request) + else: + logging.info('send instruct request') + instruct_request = cosyvoice_pb2.instructRequest() + instruct_request.tts_text = args.tts_text + instruct_request.spk_id = args.spk_id + instruct_request.instruct_text = args.instruct_text + request.instruct_request.CopyFrom(instruct_request) + + response = stub.Inference(request) + logging.info('save response to {}'.format(args.tts_wav)) + tts_speech = torch.from_numpy(np.array(np.frombuffer(response.tts_audio, dtype=np.int16))).unsqueeze(dim=0) + torchaudio.save(args.tts_wav, tts_speech, target_sr) + logging.info('get response') + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument('--host', + type=str, + default='0.0.0.0') + parser.add_argument('--port', + type=int, + default='50000') + parser.add_argument('--mode', + default='sft', + choices=['sft', 'zero_shot', 'cross_lingual', 'instruct'], + help='request mode') + parser.add_argument('--tts_text', + type=str, + default='你好，我是通义千问语音合成大模型，请问有什么可以帮您的吗？') + parser.add_argument('--spk_id', + type=str, + default='中文女') + parser.add_argument('--prompt_text', + type=str, + default='希望你以后能够做的比我还好呦。') + parser.add_argument('--prompt_wav', + type=str, + default='../../../zero_shot_prompt.wav') + parser.add_argument('--instruct_text', + type=str, + default='Theo \'Crimson\', is a fiery, passionate rebel leader. Fights with fervor for justice, but struggles with impulsiveness.') + parser.add_argument('--tts_wav', + type=str, + default='demo.wav') + args = parser.parse_args() + prompt_sr, target_sr = 16000, 22050 + main() diff --git a/CosyVoice/runtime/python/grpc/cosyvoice.proto b/CosyVoice/runtime/python/grpc/cosyvoice.proto new file mode 100644 index 0000000000000000000000000000000000000000..babf3e7ad8cf2193725fd1d4f93040fc6b7e295f --- /dev/null +++ b/CosyVoice/runtime/python/grpc/cosyvoice.proto @@ -0,0 +1,43 @@ +syntax = "proto3"; + +package cosyvoice; +option go_package = "protos/"; + +service CosyVoice{ + rpc Inference(Request) returns (Response) {} +} + +message Request{ + oneof RequestPayload { + sftRequest sft_request = 1; + zeroshotRequest zero_shot_request = 2; + crosslingualRequest cross_lingual_request = 3; + instructRequest instruct_request = 4; + } +} + +message sftRequest{ + string spk_id = 1; + string tts_text = 2; +} + +message zeroshotRequest{ + string tts_text = 1; + string prompt_text = 2; + bytes prompt_audio = 3; +} + +message crosslingualRequest{ + string tts_text = 1; + bytes prompt_audio = 2; +} + +message instructRequest{ + string tts_text = 1; + string spk_id = 2; + string instruct_text = 3; +} + +message Response{ + bytes tts_audio = 1; +} \ No newline at end of file diff --git a/CosyVoice/runtime/python/grpc/server.py b/CosyVoice/runtime/python/grpc/server.py new file mode 100644 index 0000000000000000000000000000000000000000..0329be7625815061cca43572388e2c788cfe79a8 --- /dev/null +++ b/CosyVoice/runtime/python/grpc/server.py @@ -0,0 +1,83 @@ +# Copyright (c) 2024 Alibaba Inc (authors: Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import os +import sys +ROOT_DIR = os.path.dirname(os.path.abspath(__file__)) +sys.path.append('{}/../../..'.format(ROOT_DIR)) +sys.path.append('{}/../../../third_party/Matcha-TTS'.format(ROOT_DIR)) +from concurrent import futures +import argparse +import cosyvoice_pb2 +import cosyvoice_pb2_grpc +import logging +logging.getLogger('matplotlib').setLevel(logging.WARNING) +import grpc +import torch +import numpy as np +from cosyvoice.cli.cosyvoice import CosyVoice + +logging.basicConfig(level=logging.DEBUG, + format='%(asctime)s %(levelname)s %(message)s') + +class CosyVoiceServiceImpl(cosyvoice_pb2_grpc.CosyVoiceServicer): + def __init__(self, args): + self.cosyvoice = CosyVoice(args.model_dir) + logging.info('grpc service initialized') + + def Inference(self, request, context): + if request.HasField('sft_request'): + logging.info('get sft inference request') + model_output = self.cosyvoice.inference_sft(request.sft_request.tts_text, request.sft_request.spk_id) + elif request.HasField('zero_shot_request'): + logging.info('get zero_shot inference request') + prompt_speech_16k = torch.from_numpy(np.array(np.frombuffer(request.zero_shot_request.prompt_audio, dtype=np.int16))).unsqueeze(dim=0) + prompt_speech_16k = prompt_speech_16k.float() / (2**15) + model_output = self.cosyvoice.inference_zero_shot(request.zero_shot_request.tts_text, request.zero_shot_request.prompt_text, prompt_speech_16k) + elif request.HasField('cross_lingual_request'): + logging.info('get cross_lingual inference request') + prompt_speech_16k = torch.from_numpy(np.array(np.frombuffer(request.cross_lingual_request.prompt_audio, dtype=np.int16))).unsqueeze(dim=0) + prompt_speech_16k = prompt_speech_16k.float() / (2**15) + model_output = self.cosyvoice.inference_cross_lingual(request.cross_lingual_request.tts_text, prompt_speech_16k) + else: + logging.info('get instruct inference request') + model_output = self.cosyvoice.inference_instruct(request.instruct_request.tts_text, request.instruct_request.spk_id, request.instruct_request.instruct_text) + + logging.info('send inference response') + response = cosyvoice_pb2.Response() + response.tts_audio = (model_output['tts_speech'].numpy() * (2 ** 15)).astype(np.int16).tobytes() + return response + +def main(): + grpcServer = grpc.server(futures.ThreadPoolExecutor(max_workers=args.max_conc), maximum_concurrent_rpcs=args.max_conc) + cosyvoice_pb2_grpc.add_CosyVoiceServicer_to_server(CosyVoiceServiceImpl(args), grpcServer) + grpcServer.add_insecure_port('0.0.0.0:{}'.format(args.port)) + grpcServer.start() + logging.info("server listening on 0.0.0.0:{}".format(args.port)) + grpcServer.wait_for_termination() + + +if __name__ == '__main__': + parser = argparse.ArgumentParser() + parser.add_argument('--port', + type=int, + default=50000) + parser.add_argument('--max_conc', + type=int, + default=4) + parser.add_argument('--model_dir', + type=str, + default='iic/CosyVoice-300M', + help='local path or modelscope repo id') + args = parser.parse_args() + main() diff --git a/CosyVoice/third_party/Matcha-TTS/.env.example b/CosyVoice/third_party/Matcha-TTS/.env.example new file mode 100644 index 0000000000000000000000000000000000000000..a790e320464ebc778ca07f5bcd826a9c8412ed0e --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/.env.example @@ -0,0 +1,6 @@ +# example of file for storing private and user specific environment variables, like keys or system paths +# rename it to ".env" (excluded from version control by default) +# .env is loaded by train.py automatically +# hydra allows you to reference variables in .yaml configs with special syntax: ${oc.env:MY_VAR} + +MY_VAR="/home/user/my/system/path" diff --git a/CosyVoice/third_party/Matcha-TTS/.github/PULL_REQUEST_TEMPLATE.md b/CosyVoice/third_party/Matcha-TTS/.github/PULL_REQUEST_TEMPLATE.md new file mode 100644 index 0000000000000000000000000000000000000000..410bcd87a45297ab8f0d369574a032858b6b1811 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/.github/PULL_REQUEST_TEMPLATE.md @@ -0,0 +1,22 @@ +## What does this PR do? + + + +Fixes #\ + +## Before submitting + +- [ ] Did you make sure **title is self-explanatory** and **the description concisely explains the PR**? +- [ ] Did you make sure your **PR does only one thing**, instead of bundling different changes together? +- [ ] Did you list all the **breaking changes** introduced by this pull request? +- [ ] Did you **test your PR locally** with `pytest` command? +- [ ] Did you **run pre-commit hooks** with `pre-commit run -a` command? + +## Did you have fun? + +Make sure you had fun coding 🙃 diff --git a/CosyVoice/third_party/Matcha-TTS/.github/codecov.yml b/CosyVoice/third_party/Matcha-TTS/.github/codecov.yml new file mode 100644 index 0000000000000000000000000000000000000000..c66853c4bd9991f730da5dda7dc9881986779558 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/.github/codecov.yml @@ -0,0 +1,15 @@ +coverage: + status: + # measures overall project coverage + project: + default: + threshold: 100% # how much decrease in coverage is needed to not consider success + + # measures PR or single commit coverage + patch: + default: + threshold: 100% # how much decrease in coverage is needed to not consider success + + + # project: off + # patch: off diff --git a/CosyVoice/third_party/Matcha-TTS/.github/dependabot.yml b/CosyVoice/third_party/Matcha-TTS/.github/dependabot.yml new file mode 100644 index 0000000000000000000000000000000000000000..b19ccab12a3c573025ce6ba6d9068b062b29cc1b --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/.github/dependabot.yml @@ -0,0 +1,17 @@ +# To get started with Dependabot version updates, you'll need to specify which +# package ecosystems to update and where the package manifests are located. +# Please see the documentation for all configuration options: +# https://docs.github.com/github/administering-a-repository/configuration-options-for-dependency-updates + +version: 2 +updates: + - package-ecosystem: "pip" # See documentation for possible values + directory: "/" # Location of package manifests + target-branch: "dev" + schedule: + interval: "daily" + ignore: + - dependency-name: "pytorch-lightning" + update-types: ["version-update:semver-patch"] + - dependency-name: "torchmetrics" + update-types: ["version-update:semver-patch"] diff --git a/CosyVoice/third_party/Matcha-TTS/.github/release-drafter.yml b/CosyVoice/third_party/Matcha-TTS/.github/release-drafter.yml new file mode 100644 index 0000000000000000000000000000000000000000..59af159f671abe75311eb626c8ec92ca6ea09d3c --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/.github/release-drafter.yml @@ -0,0 +1,44 @@ +name-template: "v$RESOLVED_VERSION" +tag-template: "v$RESOLVED_VERSION" + +categories: + - title: "🚀 Features" + labels: + - "feature" + - "enhancement" + - title: "🐛 Bug Fixes" + labels: + - "fix" + - "bugfix" + - "bug" + - title: "🧹 Maintenance" + labels: + - "maintenance" + - "dependencies" + - "refactoring" + - "cosmetic" + - "chore" + - title: "📝️ Documentation" + labels: + - "documentation" + - "docs" + +change-template: "- $TITLE @$AUTHOR (#$NUMBER)" +change-title-escapes: '\<*_&' # You can add # and @ to disable mentions + +version-resolver: + major: + labels: + - "major" + minor: + labels: + - "minor" + patch: + labels: + - "patch" + default: patch + +template: | + ## Changes + + $CHANGES diff --git a/CosyVoice/third_party/Matcha-TTS/.gitignore b/CosyVoice/third_party/Matcha-TTS/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..cbec8b43a0414bbbf4cc9feae49b9dc091a60c92 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/.gitignore @@ -0,0 +1,163 @@ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +pip-wheel-metadata/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +.python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +### VisualStudioCode +.vscode/* +!.vscode/settings.json +!.vscode/tasks.json +!.vscode/launch.json +!.vscode/extensions.json +*.code-workspace +**/.vscode + +# JetBrains +.idea/ + +# Data & Models +*.h5 +*.tar +*.tar.gz + +# Lightning-Hydra-Template +configs/local/default.yaml +/data/ +/logs/ +.env + +# Aim logging +.aim + +# Cython complied files +matcha/utils/monotonic_align/core.c + +# Ignoring hifigan checkpoint +generator_v1 +g_02500000 +gradio_cached_examples/ +synth_output/ diff --git a/CosyVoice/third_party/Matcha-TTS/.pre-commit-config.yaml b/CosyVoice/third_party/Matcha-TTS/.pre-commit-config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e695f115eba12d84fe6f465c5d834dfa35c3d2ec --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/.pre-commit-config.yaml @@ -0,0 +1,59 @@ +default_language_version: + python: python3.10 + +repos: + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v4.5.0 + hooks: + # list of supported hooks: https://pre-commit.com/hooks.html + - id: trailing-whitespace + - id: end-of-file-fixer + # - id: check-docstring-first + - id: check-yaml + - id: debug-statements + - id: detect-private-key + - id: check-toml + - id: check-case-conflict + - id: check-added-large-files + + # python code formatting + - repo: https://github.com/psf/black + rev: 23.12.1 + hooks: + - id: black + args: [--line-length, "120"] + + # python import sorting + - repo: https://github.com/PyCQA/isort + rev: 5.13.2 + hooks: + - id: isort + args: ["--profile", "black", "--filter-files"] + + # python upgrading syntax to newer version + - repo: https://github.com/asottile/pyupgrade + rev: v3.15.0 + hooks: + - id: pyupgrade + args: [--py38-plus] + + # python check (PEP8), programming errors and code complexity + - repo: https://github.com/PyCQA/flake8 + rev: 7.0.0 + hooks: + - id: flake8 + args: + [ + "--max-line-length", "120", + "--extend-ignore", + "E203,E402,E501,F401,F841,RST2,RST301", + "--exclude", + "logs/*,data/*,matcha/hifigan/*", + ] + additional_dependencies: [flake8-rst-docstrings==0.3.0] + + # pylint + - repo: https://github.com/pycqa/pylint + rev: v3.0.3 + hooks: + - id: pylint diff --git a/CosyVoice/third_party/Matcha-TTS/.project-root b/CosyVoice/third_party/Matcha-TTS/.project-root new file mode 100644 index 0000000000000000000000000000000000000000..63eab774b9e36aa1a46cbd31b59cbd373bc5477f --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/.project-root @@ -0,0 +1,2 @@ +# this file is required for inferring the project root directory +# do not delete diff --git a/CosyVoice/third_party/Matcha-TTS/.pylintrc b/CosyVoice/third_party/Matcha-TTS/.pylintrc new file mode 100644 index 0000000000000000000000000000000000000000..962864189eab99a66b315b80f5a9976e7a423d4a --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/.pylintrc @@ -0,0 +1,525 @@ +[MASTER] + +# A comma-separated list of package or module names from where C extensions may +# be loaded. Extensions are loading into the active Python interpreter and may +# run arbitrary code. +extension-pkg-whitelist= + +# Add files or directories to the blacklist. They should be base names, not +# paths. +ignore=CVS + +# Add files or directories matching the regex patterns to the blacklist. The +# regex matches against base names, not paths. +ignore-patterns= + +# Python code to execute, usually for sys.path manipulation such as +# pygtk.require(). +#init-hook= + +# Use multiple processes to speed up Pylint. Specifying 0 will auto-detect the +# number of processors available to use. +jobs=1 + +# Control the amount of potential inferred values when inferring a single +# object. This can help the performance when dealing with large functions or +# complex, nested conditions. +limit-inference-results=100 + +# List of plugins (as comma separated values of python modules names) to load, +# usually to register additional checkers. +load-plugins= + +# Pickle collected data for later comparisons. +persistent=yes + +# Specify a configuration file. +#rcfile= + +# When enabled, pylint would attempt to guess common misconfiguration and emit +# user-friendly hints instead of false-positive error messages. +suggestion-mode=yes + +# Allow loading of arbitrary C extensions. Extensions are imported into the +# active Python interpreter and may run arbitrary code. +unsafe-load-any-extension=no + + +[MESSAGES CONTROL] + +# Only show warnings with the listed confidence levels. Leave empty to show +# all. Valid levels: HIGH, INFERENCE, INFERENCE_FAILURE, UNDEFINED. +confidence= + +# Disable the message, report, category or checker with the given id(s). You +# can either give multiple identifiers separated by comma (,) or put this +# option multiple times (only on the command line, not in the configuration +# file where it should appear only once). You can also use "--disable=all" to +# disable everything first and then reenable specific checks. For example, if +# you want to run only the similarities checker, you can use "--disable=all +# --enable=similarities". If you want to run only the classes checker, but have +# no Warning level messages displayed, use "--disable=all --enable=classes +# --disable=W". +disable=missing-docstring, + too-many-public-methods, + too-many-lines, + bare-except, + ## for avoiding weird p3.6 CI linter error + ## TODO: see later if we can remove this + assigning-non-slot, + unsupported-assignment-operation, + ## end + line-too-long, + fixme, + wrong-import-order, + ungrouped-imports, + wrong-import-position, + import-error, + invalid-name, + too-many-instance-attributes, + arguments-differ, + arguments-renamed, + no-name-in-module, + no-member, + unsubscriptable-object, + raw-checker-failed, + bad-inline-option, + locally-disabled, + file-ignored, + suppressed-message, + useless-suppression, + deprecated-pragma, + use-symbolic-message-instead, + useless-object-inheritance, + too-few-public-methods, + too-many-branches, + too-many-arguments, + too-many-locals, + too-many-statements, + duplicate-code, + not-callable, + import-outside-toplevel, + logging-fstring-interpolation, + logging-not-lazy, + unused-argument, + no-else-return, + chained-comparison, + redefined-outer-name + +# Enable the message, report, category or checker with the given id(s). You can +# either give multiple identifier separated by comma (,) or put this option +# multiple time (only on the command line, not in the configuration file where +# it should appear only once). See also the "--disable" option for examples. +enable=c-extension-no-member + + +[REPORTS] + +# Python expression which should return a note less than 10 (10 is the highest +# note). You have access to the variables errors warning, statement which +# respectively contain the number of errors / warnings messages and the total +# number of statements analyzed. This is used by the global evaluation report +# (RP0004). +evaluation=10.0 - ((float(5 * error + warning + refactor + convention) / statement) * 10) + +# Template used to display messages. This is a python new-style format string +# used to format the message information. See doc for all details. +#msg-template= + +# Set the output format. Available formats are text, parseable, colorized, json +# and msvs (visual studio). You can also give a reporter class, e.g. +# mypackage.mymodule.MyReporterClass. +output-format=text + +# Tells whether to display a full report or only the messages. +reports=no + +# Activate the evaluation score. +score=yes + + +[REFACTORING] + +# Maximum number of nested blocks for function / method body +max-nested-blocks=5 + +# Complete name of functions that never returns. When checking for +# inconsistent-return-statements if a never returning function is called then +# it will be considered as an explicit return statement and no message will be +# printed. +never-returning-functions=sys.exit + + +[LOGGING] + +# Format style used to check logging format string. `old` means using % +# formatting, while `new` is for `{}` formatting. +logging-format-style=old + +# Logging modules to check that the string format arguments are in logging +# function parameter format. +logging-modules=logging + + +[SPELLING] + +# Limits count of emitted suggestions for spelling mistakes. +max-spelling-suggestions=4 + +# Spelling dictionary name. Available dictionaries: none. To make it working +# install python-enchant package.. +spelling-dict= + +# List of comma separated words that should not be checked. +spelling-ignore-words= + +# A path to a file that contains private dictionary; one word per line. +spelling-private-dict-file= + +# Tells whether to store unknown words to indicated private dictionary in +# --spelling-private-dict-file option instead of raising a message. +spelling-store-unknown-words=no + + +[MISCELLANEOUS] + +# List of note tags to take in consideration, separated by a comma. +notes=FIXME, + XXX, + TODO + + +[TYPECHECK] + +# List of decorators that produce context managers, such as +# contextlib.contextmanager. Add to this list to register other decorators that +# produce valid context managers. +contextmanager-decorators=contextlib.contextmanager + +# List of members which are set dynamically and missed by pylint inference +# system, and so shouldn't trigger E1101 when accessed. Python regular +# expressions are accepted. +generated-members=numpy.*,torch.* + +# Tells whether missing members accessed in mixin class should be ignored. A +# mixin class is detected if its name ends with "mixin" (case insensitive). +ignore-mixin-members=yes + +# Tells whether to warn about missing members when the owner of the attribute +# is inferred to be None. +ignore-none=yes + +# This flag controls whether pylint should warn about no-member and similar +# checks whenever an opaque object is returned when inferring. The inference +# can return multiple potential results while evaluating a Python object, but +# some branches might not be evaluated, which results in partial inference. In +# that case, it might be useful to still emit no-member and other checks for +# the rest of the inferred objects. +ignore-on-opaque-inference=yes + +# List of class names for which member attributes should not be checked (useful +# for classes with dynamically set attributes). This supports the use of +# qualified names. +ignored-classes=optparse.Values,thread._local,_thread._local + +# List of module names for which member attributes should not be checked +# (useful for modules/projects where namespaces are manipulated during runtime +# and thus existing member attributes cannot be deduced by static analysis. It +# supports qualified module names, as well as Unix pattern matching. +ignored-modules= + +# Show a hint with possible names when a member name was not found. The aspect +# of finding the hint is based on edit distance. +missing-member-hint=yes + +# The minimum edit distance a name should have in order to be considered a +# similar match for a missing member name. +missing-member-hint-distance=1 + +# The total number of similar names that should be taken in consideration when +# showing a hint for a missing member. +missing-member-max-choices=1 + + +[VARIABLES] + +# List of additional names supposed to be defined in builtins. Remember that +# you should avoid defining new builtins when possible. +additional-builtins= + +# Tells whether unused global variables should be treated as a violation. +allow-global-unused-variables=yes + +# List of strings which can identify a callback function by name. A callback +# name must start or end with one of those strings. +callbacks=cb_, + _cb + +# A regular expression matching the name of dummy variables (i.e. expected to +# not be used). +dummy-variables-rgx=_+$|(_[a-zA-Z0-9_]*[a-zA-Z0-9]+?$)|dummy|^ignored_|^unused_ + +# Argument names that match this expression will be ignored. Default to name +# with leading underscore. +ignored-argument-names=_.*|^ignored_|^unused_ + +# Tells whether we should check for unused import in __init__ files. +init-import=no + +# List of qualified module names which can have objects that can redefine +# builtins. +redefining-builtins-modules=six.moves,past.builtins,future.builtins,builtins,io + + +[FORMAT] + +# Expected format of line ending, e.g. empty (any line ending), LF or CRLF. +expected-line-ending-format= + +# Regexp for a line that is allowed to be longer than the limit. +ignore-long-lines=^\s*(# )??$ + +# Number of spaces of indent required inside a hanging or continued line. +indent-after-paren=4 + +# String used as indentation unit. This is usually " " (4 spaces) or "\t" (1 +# tab). +indent-string=' ' + +# Maximum number of characters on a single line. +max-line-length=120 + +# Maximum number of lines in a module. +max-module-lines=1000 + +# Allow the body of a class to be on the same line as the declaration if body +# contains single statement. +single-line-class-stmt=no + +# Allow the body of an if to be on the same line as the test if there is no +# else. +single-line-if-stmt=no + + +[SIMILARITIES] + +# Ignore comments when computing similarities. +ignore-comments=yes + +# Ignore docstrings when computing similarities. +ignore-docstrings=yes + +# Ignore imports when computing similarities. +ignore-imports=no + +# Minimum lines number of a similarity. +min-similarity-lines=4 + + +[BASIC] + +# Naming style matching correct argument names. +argument-naming-style=snake_case + +# Regular expression matching correct argument names. Overrides argument- +# naming-style. +argument-rgx=[a-z_][a-z0-9_]{0,30}$ + +# Naming style matching correct attribute names. +attr-naming-style=snake_case + +# Regular expression matching correct attribute names. Overrides attr-naming- +# style. +#attr-rgx= + +# Bad variable names which should always be refused, separated by a comma. +bad-names= + +# Naming style matching correct class attribute names. +class-attribute-naming-style=any + +# Regular expression matching correct class attribute names. Overrides class- +# attribute-naming-style. +#class-attribute-rgx= + +# Naming style matching correct class names. +class-naming-style=PascalCase + +# Regular expression matching correct class names. Overrides class-naming- +# style. +#class-rgx= + +# Naming style matching correct constant names. +const-naming-style=UPPER_CASE + +# Regular expression matching correct constant names. Overrides const-naming- +# style. +#const-rgx= + +# Minimum line length for functions/classes that require docstrings, shorter +# ones are exempt. +docstring-min-length=-1 + +# Naming style matching correct function names. +function-naming-style=snake_case + +# Regular expression matching correct function names. Overrides function- +# naming-style. +#function-rgx= + +# Good variable names which should always be accepted, separated by a comma. +good-names=i, + j, + k, + x, + ex, + Run, + _ + +# Include a hint for the correct naming format with invalid-name. +include-naming-hint=no + +# Naming style matching correct inline iteration names. +inlinevar-naming-style=any + +# Regular expression matching correct inline iteration names. Overrides +# inlinevar-naming-style. +#inlinevar-rgx= + +# Naming style matching correct method names. +method-naming-style=snake_case + +# Regular expression matching correct method names. Overrides method-naming- +# style. +#method-rgx= + +# Naming style matching correct module names. +module-naming-style=snake_case + +# Regular expression matching correct module names. Overrides module-naming- +# style. +#module-rgx= + +# Colon-delimited sets of names that determine each other's naming style when +# the name regexes allow several styles. +name-group= + +# Regular expression which should only match function or class names that do +# not require a docstring. +no-docstring-rgx=^_ + +# List of decorators that produce properties, such as abc.abstractproperty. Add +# to this list to register other decorators that produce valid properties. +# These decorators are taken in consideration only for invalid-name. +property-classes=abc.abstractproperty + +# Naming style matching correct variable names. +variable-naming-style=snake_case + +# Regular expression matching correct variable names. Overrides variable- +# naming-style. +variable-rgx=[a-z_][a-z0-9_]{0,30}$ + + +[STRING] + +# This flag controls whether the implicit-str-concat-in-sequence should +# generate a warning on implicit string concatenation in sequences defined over +# several lines. +check-str-concat-over-line-jumps=no + + +[IMPORTS] + +# Allow wildcard imports from modules that define __all__. +allow-wildcard-with-all=no + +# Analyse import fallback blocks. This can be used to support both Python 2 and +# 3 compatible code, which means that the block might have code that exists +# only in one or another interpreter, leading to false positives when analysed. +analyse-fallback-blocks=no + +# Deprecated modules which should not be used, separated by a comma. +deprecated-modules=optparse,tkinter.tix + +# Create a graph of external dependencies in the given file (report RP0402 must +# not be disabled). +ext-import-graph= + +# Create a graph of every (i.e. internal and external) dependencies in the +# given file (report RP0402 must not be disabled). +import-graph= + +# Create a graph of internal dependencies in the given file (report RP0402 must +# not be disabled). +int-import-graph= + +# Force import order to recognize a module as part of the standard +# compatibility libraries. +known-standard-library= + +# Force import order to recognize a module as part of a third party library. +known-third-party=enchant + + +[CLASSES] + +# List of method names used to declare (i.e. assign) instance attributes. +defining-attr-methods=__init__, + __new__, + setUp + +# List of member names, which should be excluded from the protected access +# warning. +exclude-protected=_asdict, + _fields, + _replace, + _source, + _make + +# List of valid names for the first argument in a class method. +valid-classmethod-first-arg=cls + +# List of valid names for the first argument in a metaclass class method. +valid-metaclass-classmethod-first-arg=cls + + +[DESIGN] + +# Maximum number of arguments for function / method. +max-args=5 + +# Maximum number of attributes for a class (see R0902). +max-attributes=7 + +# Maximum number of boolean expressions in an if statement. +max-bool-expr=5 + +# Maximum number of branch for function / method body. +max-branches=12 + +# Maximum number of locals for function / method body. +max-locals=15 + +# Maximum number of parents for a class (see R0901). +max-parents=15 + +# Maximum number of public methods for a class (see R0904). +max-public-methods=20 + +# Maximum number of return / yield for function / method body. +max-returns=6 + +# Maximum number of statements in function / method body. +max-statements=50 + +# Minimum number of public methods for a class (see R0903). +min-public-methods=2 + + +[EXCEPTIONS] + +# Exceptions that will emit a warning when being caught. Defaults to +# "BaseException, Exception". +overgeneral-exceptions=builtins.BaseException, + builtins.Exception diff --git a/CosyVoice/third_party/Matcha-TTS/LICENSE b/CosyVoice/third_party/Matcha-TTS/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..858018e750da7be7b271bb7307e68d159ed67ef6 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2023 Shivam Mehta + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/CosyVoice/third_party/Matcha-TTS/MANIFEST.in b/CosyVoice/third_party/Matcha-TTS/MANIFEST.in new file mode 100644 index 0000000000000000000000000000000000000000..c013140cdfb9de19c4d4e73c73a44e33f33fa871 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/MANIFEST.in @@ -0,0 +1,14 @@ +include README.md +include LICENSE.txt +include requirements.*.txt +include *.cff +include requirements.txt +include matcha/VERSION +recursive-include matcha *.json +recursive-include matcha *.html +recursive-include matcha *.png +recursive-include matcha *.md +recursive-include matcha *.py +recursive-include matcha *.pyx +recursive-exclude tests * +prune tests* diff --git a/CosyVoice/third_party/Matcha-TTS/Makefile b/CosyVoice/third_party/Matcha-TTS/Makefile new file mode 100644 index 0000000000000000000000000000000000000000..4b523dd17b13a19617c9cc9d9dad7f7d8d4c24a0 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/Makefile @@ -0,0 +1,42 @@ + +help: ## Show help + @grep -E '^[.a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[36m%-30s\033[0m %s\n", $$1, $$2}' + +clean: ## Clean autogenerated files + rm -rf dist + find . -type f -name "*.DS_Store" -ls -delete + find . | grep -E "(__pycache__|\.pyc|\.pyo)" | xargs rm -rf + find . | grep -E ".pytest_cache" | xargs rm -rf + find . | grep -E ".ipynb_checkpoints" | xargs rm -rf + rm -f .coverage + +clean-logs: ## Clean logs + rm -rf logs/** + +create-package: ## Create wheel and tar gz + rm -rf dist/ + python setup.py bdist_wheel --plat-name=manylinux1_x86_64 + python setup.py sdist + python -m twine upload dist/* --verbose --skip-existing + +format: ## Run pre-commit hooks + pre-commit run -a + +sync: ## Merge changes from main branch to your current branch + git pull + git pull origin main + +test: ## Run not slow tests + pytest -k "not slow" + +test-full: ## Run all tests + pytest + +train-ljspeech: ## Train the model + python matcha/train.py experiment=ljspeech + +train-ljspeech-min: ## Train the model with minimum memory + python matcha/train.py experiment=ljspeech_min_memory + +start_app: ## Start the app + python matcha/app.py diff --git a/CosyVoice/third_party/Matcha-TTS/README.md b/CosyVoice/third_party/Matcha-TTS/README.md new file mode 100644 index 0000000000000000000000000000000000000000..ebc6b7c0a76d30c33bf95583d629825c02183e31 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/README.md @@ -0,0 +1,278 @@ +
+ +# 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching + +### [Shivam Mehta](https://www.kth.se/profile/smehta), [Ruibo Tu](https://www.kth.se/profile/ruibo), [Jonas Beskow](https://www.kth.se/profile/beskow), [Éva Székely](https://www.kth.se/profile/szekely), and [Gustav Eje Henter](https://people.kth.se/~ghe/) + +[![python](https://img.shields.io/badge/-Python_3.10-blue?logo=python&logoColor=white)](https://www.python.org/downloads/release/python-3100/) +[![pytorch](https://img.shields.io/badge/PyTorch_2.0+-ee4c2c?logo=pytorch&logoColor=white)](https://pytorch.org/get-started/locally/) +[![lightning](https://img.shields.io/badge/-Lightning_2.0+-792ee5?logo=pytorchlightning&logoColor=white)](https://pytorchlightning.ai/) +[![hydra](https://img.shields.io/badge/Config-Hydra_1.3-89b8cd)](https://hydra.cc/) +[![black](https://img.shields.io/badge/Code%20Style-Black-black.svg?labelColor=gray)](https://black.readthedocs.io/en/stable/) +[![isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/) + +

+ +

+ +
+ +> This is the official code implementation of 🍵 Matcha-TTS [ICASSP 2024]. + +We propose 🍵 Matcha-TTS, a new approach to non-autoregressive neural TTS, that uses [conditional flow matching](https://arxiv.org/abs/2210.02747) (similar to [rectified flows](https://arxiv.org/abs/2209.03003)) to speed up ODE-based speech synthesis. Our method: + +- Is probabilistic +- Has compact memory footprint +- Sounds highly natural +- Is very fast to synthesise from + +Check out our [demo page](https://shivammehta25.github.io/Matcha-TTS) and read [our ICASSP 2024 paper](https://arxiv.org/abs/2309.03199) for more details. + +[Pre-trained models](https://drive.google.com/drive/folders/17C_gYgEHOxI5ZypcfE_k1piKCtyR0isJ?usp=sharing) will be automatically downloaded with the CLI or gradio interface. + +You can also [try 🍵 Matcha-TTS in your browser on HuggingFace 🤗 spaces](https://huggingface.co/spaces/shivammehta25/Matcha-TTS). + +## Teaser video + +[![Watch the video](https://img.youtube.com/vi/xmvJkz3bqw0/hqdefault.jpg)](https://youtu.be/xmvJkz3bqw0) + +## Installation + +1. Create an environment (suggested but optional) + +``` +conda create -n matcha-tts python=3.10 -y +conda activate matcha-tts +``` + +2. Install Matcha TTS using pip or from source + +```bash +pip install matcha-tts +``` + +from source + +```bash +pip install git+https://github.com/shivammehta25/Matcha-TTS.git +cd Matcha-TTS +pip install -e . +``` + +3. Run CLI / gradio app / jupyter notebook + +```bash +# This will download the required models +matcha-tts --text "" +``` + +or + +```bash +matcha-tts-app +``` + +or open `synthesis.ipynb` on jupyter notebook + +### CLI Arguments + +- To synthesise from given text, run: + +```bash +matcha-tts --text "" +``` + +- To synthesise from a file, run: + +```bash +matcha-tts --file +``` + +- To batch synthesise from a file, run: + +```bash +matcha-tts --file --batched +``` + +Additional arguments + +- Speaking rate + +```bash +matcha-tts --text "" --speaking_rate 1.0 +``` + +- Sampling temperature + +```bash +matcha-tts --text "" --temperature 0.667 +``` + +- Euler ODE solver steps + +```bash +matcha-tts --text "" --steps 10 +``` + +## Train with your own dataset + +Let's assume we are training with LJ Speech + +1. Download the dataset from [here](https://keithito.com/LJ-Speech-Dataset/), extract it to `data/LJSpeech-1.1`, and prepare the file lists to point to the extracted data like for [item 5 in the setup of the NVIDIA Tacotron 2 repo](https://github.com/NVIDIA/tacotron2#setup). + +2. Clone and enter the Matcha-TTS repository + +```bash +git clone https://github.com/shivammehta25/Matcha-TTS.git +cd Matcha-TTS +``` + +3. Install the package from source + +```bash +pip install -e . +``` + +4. Go to `configs/data/ljspeech.yaml` and change + +```yaml +train_filelist_path: data/filelists/ljs_audio_text_train_filelist.txt +valid_filelist_path: data/filelists/ljs_audio_text_val_filelist.txt +``` + +5. Generate normalisation statistics with the yaml file of dataset configuration + +```bash +matcha-data-stats -i ljspeech.yaml +# Output: +#{'mel_mean': -5.53662231756592, 'mel_std': 2.1161014277038574} +``` + +Update these values in `configs/data/ljspeech.yaml` under `data_statistics` key. + +```bash +data_statistics: # Computed for ljspeech dataset + mel_mean: -5.536622 + mel_std: 2.116101 +``` + +to the paths of your train and validation filelists. + +6. Run the training script + +```bash +make train-ljspeech +``` + +or + +```bash +python matcha/train.py experiment=ljspeech +``` + +- for a minimum memory run + +```bash +python matcha/train.py experiment=ljspeech_min_memory +``` + +- for multi-gpu training, run + +```bash +python matcha/train.py experiment=ljspeech trainer.devices=[0,1] +``` + +7. Synthesise from the custom trained model + +```bash +matcha-tts --text "" --checkpoint_path +``` + +## ONNX support + +> Special thanks to [@mush42](https://github.com/mush42) for implementing ONNX export and inference support. + +It is possible to export Matcha checkpoints to [ONNX](https://onnx.ai/), and run inference on the exported ONNX graph. + +### ONNX export + +To export a checkpoint to ONNX, first install ONNX with + +```bash +pip install onnx +``` + +then run the following: + +```bash +python3 -m matcha.onnx.export matcha.ckpt model.onnx --n-timesteps 5 +``` + +Optionally, the ONNX exporter accepts **vocoder-name** and **vocoder-checkpoint** arguments. This enables you to embed the vocoder in the exported graph and generate waveforms in a single run (similar to end-to-end TTS systems). + +**Note** that `n_timesteps` is treated as a hyper-parameter rather than a model input. This means you should specify it during export (not during inference). If not specified, `n_timesteps` is set to **5**. + +**Important**: for now, torch>=2.1.0 is needed for export since the `scaled_product_attention` operator is not exportable in older versions. Until the final version is released, those who want to export their models must install torch>=2.1.0 manually as a pre-release. + +### ONNX Inference + +To run inference on the exported model, first install `onnxruntime` using + +```bash +pip install onnxruntime +pip install onnxruntime-gpu # for GPU inference +``` + +then use the following: + +```bash +python3 -m matcha.onnx.infer model.onnx --text "hey" --output-dir ./outputs +``` + +You can also control synthesis parameters: + +```bash +python3 -m matcha.onnx.infer model.onnx --text "hey" --output-dir ./outputs --temperature 0.4 --speaking_rate 0.9 --spk 0 +``` + +To run inference on **GPU**, make sure to install **onnxruntime-gpu** package, and then pass `--gpu` to the inference command: + +```bash +python3 -m matcha.onnx.infer model.onnx --text "hey" --output-dir ./outputs --gpu +``` + +If you exported only Matcha to ONNX, this will write mel-spectrogram as graphs and `numpy` arrays to the output directory. +If you embedded the vocoder in the exported graph, this will write `.wav` audio files to the output directory. + +If you exported only Matcha to ONNX, and you want to run a full TTS pipeline, you can pass a path to a vocoder model in `ONNX` format: + +```bash +python3 -m matcha.onnx.infer model.onnx --text "hey" --output-dir ./outputs --vocoder hifigan.small.onnx +``` + +This will write `.wav` audio files to the output directory. + +## Citation information + +If you use our code or otherwise find this work useful, please cite our paper: + +```text +@inproceedings{mehta2024matcha, + title={Matcha-{TTS}: A fast {TTS} architecture with conditional flow matching}, + author={Mehta, Shivam and Tu, Ruibo and Beskow, Jonas and Sz{\'e}kely, {\'E}va and Henter, Gustav Eje}, + booktitle={Proc. ICASSP}, + year={2024} +} +``` + +## Acknowledgements + +Since this code uses [Lightning-Hydra-Template](https://github.com/ashleve/lightning-hydra-template), you have all the powers that come with it. + +Other source code we would like to acknowledge: + +- [Coqui-TTS](https://github.com/coqui-ai/TTS/tree/dev): For helping me figure out how to make cython binaries pip installable and encouragement +- [Hugging Face Diffusers](https://huggingface.co/): For their awesome diffusers library and its components +- [Grad-TTS](https://github.com/huawei-noah/Speech-Backbones/tree/main/Grad-TTS): For the monotonic alignment search source code +- [torchdyn](https://github.com/DiffEqML/torchdyn): Useful for trying other ODE solvers during research and development +- [labml.ai](https://nn.labml.ai/transformers/rope/index.html): For the RoPE implementation diff --git a/CosyVoice/third_party/Matcha-TTS/configs/__init__.py b/CosyVoice/third_party/Matcha-TTS/configs/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..56bf7f4aa4906bc0f997132708cc0826c198e4aa --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/__init__.py @@ -0,0 +1 @@ +# this file is needed here to include configs when building project as a package diff --git a/CosyVoice/third_party/Matcha-TTS/configs/callbacks/default.yaml b/CosyVoice/third_party/Matcha-TTS/configs/callbacks/default.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ebaa3ed31a7f626bc62f90184dc4b25b631e52a9 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/callbacks/default.yaml @@ -0,0 +1,5 @@ +defaults: + - model_checkpoint.yaml + - model_summary.yaml + - rich_progress_bar.yaml + - _self_ diff --git a/CosyVoice/third_party/Matcha-TTS/configs/callbacks/model_checkpoint.yaml b/CosyVoice/third_party/Matcha-TTS/configs/callbacks/model_checkpoint.yaml new file mode 100644 index 0000000000000000000000000000000000000000..3d085c711a8521b6b98ad6401b686bb601ceacd6 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/callbacks/model_checkpoint.yaml @@ -0,0 +1,17 @@ +# https://lightning.ai/docs/pytorch/stable/api/lightning.pytorch.callbacks.ModelCheckpoint.html + +model_checkpoint: + _target_: lightning.pytorch.callbacks.ModelCheckpoint + dirpath: ${paths.output_dir}/checkpoints # directory to save the model file + filename: checkpoint_{epoch:03d} # checkpoint filename + monitor: epoch # name of the logged metric which determines when model is improving + verbose: False # verbosity mode + save_last: true # additionally always save an exact copy of the last checkpoint to a file last.ckpt + save_top_k: 10 # save k best models (determined by above metric) + mode: "max" # "max" means higher metric value is better, can be also "min" + auto_insert_metric_name: True # when True, the checkpoints filenames will contain the metric name + save_weights_only: False # if True, then only the model’s weights will be saved + every_n_train_steps: null # number of training steps between checkpoints + train_time_interval: null # checkpoints are monitored at the specified time interval + every_n_epochs: 100 # number of epochs between checkpoints + save_on_train_epoch_end: null # whether to run checkpointing at the end of the training epoch or the end of validation diff --git a/CosyVoice/third_party/Matcha-TTS/configs/callbacks/model_summary.yaml b/CosyVoice/third_party/Matcha-TTS/configs/callbacks/model_summary.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6e5368d0e94298cce6d5421365b4583bd763ba92 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/callbacks/model_summary.yaml @@ -0,0 +1,5 @@ +# https://lightning.ai/docs/pytorch/stable/api/lightning.pytorch.callbacks.RichModelSummary.html + +model_summary: + _target_: lightning.pytorch.callbacks.RichModelSummary + max_depth: 3 # the maximum depth of layer nesting that the summary will include diff --git a/CosyVoice/third_party/Matcha-TTS/configs/callbacks/none.yaml b/CosyVoice/third_party/Matcha-TTS/configs/callbacks/none.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/CosyVoice/third_party/Matcha-TTS/configs/callbacks/rich_progress_bar.yaml b/CosyVoice/third_party/Matcha-TTS/configs/callbacks/rich_progress_bar.yaml new file mode 100644 index 0000000000000000000000000000000000000000..de6f1ccb11205a4db93645fb6f297e50205de172 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/callbacks/rich_progress_bar.yaml @@ -0,0 +1,4 @@ +# https://lightning.ai/docs/pytorch/latest/api/lightning.pytorch.callbacks.RichProgressBar.html + +rich_progress_bar: + _target_: lightning.pytorch.callbacks.RichProgressBar diff --git a/CosyVoice/third_party/Matcha-TTS/configs/data/hi-fi_en-US_female.yaml b/CosyVoice/third_party/Matcha-TTS/configs/data/hi-fi_en-US_female.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1269f9b3b421d27a204bb0697e2f27a0fa0864a3 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/data/hi-fi_en-US_female.yaml @@ -0,0 +1,14 @@ +defaults: + - ljspeech + - _self_ + +# Dataset URL: https://ast-astrec.nict.go.jp/en/release/hi-fi-captain/ +_target_: matcha.data.text_mel_datamodule.TextMelDataModule +name: hi-fi_en-US_female +train_filelist_path: data/filelists/hi-fi-captain-en-us-female_train.txt +valid_filelist_path: data/filelists/hi-fi-captain-en-us-female_val.txt +batch_size: 32 +cleaners: [english_cleaners_piper] +data_statistics: # Computed for this dataset + mel_mean: -6.38385 + mel_std: 2.541796 diff --git a/CosyVoice/third_party/Matcha-TTS/configs/data/ljspeech.yaml b/CosyVoice/third_party/Matcha-TTS/configs/data/ljspeech.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f251420c3caadd9b27a0b01ad28ee37b5eec1440 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/data/ljspeech.yaml @@ -0,0 +1,21 @@ +_target_: matcha.data.text_mel_datamodule.TextMelDataModule +name: ljspeech +train_filelist_path: data/filelists/ljs_audio_text_train_filelist.txt +valid_filelist_path: data/filelists/ljs_audio_text_val_filelist.txt +batch_size: 32 +num_workers: 20 +pin_memory: True +cleaners: [english_cleaners2] +add_blank: True +n_spks: 1 +n_fft: 1024 +n_feats: 80 +sample_rate: 22050 +hop_length: 256 +win_length: 1024 +f_min: 0 +f_max: 8000 +data_statistics: # Computed for ljspeech dataset + mel_mean: -5.536622 + mel_std: 2.116101 +seed: ${seed} diff --git a/CosyVoice/third_party/Matcha-TTS/configs/data/vctk.yaml b/CosyVoice/third_party/Matcha-TTS/configs/data/vctk.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ba11cc63371ad6308d6711513268de7efe50eed9 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/data/vctk.yaml @@ -0,0 +1,14 @@ +defaults: + - ljspeech + - _self_ + +_target_: matcha.data.text_mel_datamodule.TextMelDataModule +name: vctk +train_filelist_path: data/filelists/vctk_audio_sid_text_train_filelist.txt +valid_filelist_path: data/filelists/vctk_audio_sid_text_val_filelist.txt +batch_size: 32 +add_blank: True +n_spks: 109 +data_statistics: # Computed for vctk dataset + mel_mean: -6.630575 + mel_std: 2.482914 diff --git a/CosyVoice/third_party/Matcha-TTS/configs/debug/default.yaml b/CosyVoice/third_party/Matcha-TTS/configs/debug/default.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e3932c82585fbe44047c1569a5cfe9ee9895c71a --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/debug/default.yaml @@ -0,0 +1,35 @@ +# @package _global_ + +# default debugging setup, runs 1 full epoch +# other debugging configs can inherit from this one + +# overwrite task name so debugging logs are stored in separate folder +task_name: "debug" + +# disable callbacks and loggers during debugging +# callbacks: null +# logger: null + +extras: + ignore_warnings: False + enforce_tags: False + +# sets level of all command line loggers to 'DEBUG' +# https://hydra.cc/docs/tutorials/basic/running_your_app/logging/ +hydra: + job_logging: + root: + level: DEBUG + + # use this to also set hydra loggers to 'DEBUG' + # verbose: True + +trainer: + max_epochs: 1 + accelerator: cpu # debuggers don't like gpus + devices: 1 # debuggers don't like multiprocessing + detect_anomaly: true # raise exception if NaN or +/-inf is detected in any tensor + +data: + num_workers: 0 # debuggers don't like multiprocessing + pin_memory: False # disable gpu memory pin diff --git a/CosyVoice/third_party/Matcha-TTS/configs/debug/fdr.yaml b/CosyVoice/third_party/Matcha-TTS/configs/debug/fdr.yaml new file mode 100644 index 0000000000000000000000000000000000000000..7f2d34fa37c31017e749d5a4fc5ae6763e688b46 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/debug/fdr.yaml @@ -0,0 +1,9 @@ +# @package _global_ + +# runs 1 train, 1 validation and 1 test step + +defaults: + - default + +trainer: + fast_dev_run: true diff --git a/CosyVoice/third_party/Matcha-TTS/configs/debug/limit.yaml b/CosyVoice/third_party/Matcha-TTS/configs/debug/limit.yaml new file mode 100644 index 0000000000000000000000000000000000000000..514d77fbd1475b03fff0372e3da3c2fa7ea7d190 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/debug/limit.yaml @@ -0,0 +1,12 @@ +# @package _global_ + +# uses only 1% of the training data and 5% of validation/test data + +defaults: + - default + +trainer: + max_epochs: 3 + limit_train_batches: 0.01 + limit_val_batches: 0.05 + limit_test_batches: 0.05 diff --git a/CosyVoice/third_party/Matcha-TTS/configs/debug/overfit.yaml b/CosyVoice/third_party/Matcha-TTS/configs/debug/overfit.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9906586a67a12aa81ff69138f589a366dbe2222f --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/debug/overfit.yaml @@ -0,0 +1,13 @@ +# @package _global_ + +# overfits to 3 batches + +defaults: + - default + +trainer: + max_epochs: 20 + overfit_batches: 3 + +# model ckpt and early stopping need to be disabled during overfitting +callbacks: null diff --git a/CosyVoice/third_party/Matcha-TTS/configs/debug/profiler.yaml b/CosyVoice/third_party/Matcha-TTS/configs/debug/profiler.yaml new file mode 100644 index 0000000000000000000000000000000000000000..266295f15e0166e1d1b58b88caa7673f4b6493b5 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/debug/profiler.yaml @@ -0,0 +1,15 @@ +# @package _global_ + +# runs with execution time profiling + +defaults: + - default + +trainer: + max_epochs: 1 + # profiler: "simple" + profiler: "advanced" + # profiler: "pytorch" + accelerator: gpu + + limit_train_batches: 0.02 diff --git a/CosyVoice/third_party/Matcha-TTS/configs/eval.yaml b/CosyVoice/third_party/Matcha-TTS/configs/eval.yaml new file mode 100644 index 0000000000000000000000000000000000000000..be312992b2a486b04d83a54dbd8f670d94979709 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/eval.yaml @@ -0,0 +1,18 @@ +# @package _global_ + +defaults: + - _self_ + - data: mnist # choose datamodule with `test_dataloader()` for evaluation + - model: mnist + - logger: null + - trainer: default + - paths: default + - extras: default + - hydra: default + +task_name: "eval" + +tags: ["dev"] + +# passing checkpoint path is necessary for evaluation +ckpt_path: ??? diff --git a/CosyVoice/third_party/Matcha-TTS/configs/experiment/hifi_dataset_piper_phonemizer.yaml b/CosyVoice/third_party/Matcha-TTS/configs/experiment/hifi_dataset_piper_phonemizer.yaml new file mode 100644 index 0000000000000000000000000000000000000000..7e6c57a0d0a399f7463f4ff2d96e1928c435779b --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/experiment/hifi_dataset_piper_phonemizer.yaml @@ -0,0 +1,14 @@ +# @package _global_ + +# to execute this experiment run: +# python train.py experiment=multispeaker + +defaults: + - override /data: hi-fi_en-US_female.yaml + +# all parameters below will be merged with parameters from default configurations set above +# this allows you to overwrite only specified parameters + +tags: ["hi-fi", "single_speaker", "piper_phonemizer", "en_US", "female"] + +run_name: hi-fi_en-US_female_piper_phonemizer diff --git a/CosyVoice/third_party/Matcha-TTS/configs/experiment/ljspeech.yaml b/CosyVoice/third_party/Matcha-TTS/configs/experiment/ljspeech.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d5723f42cf3552226c42bd91202cc18818b685f0 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/experiment/ljspeech.yaml @@ -0,0 +1,14 @@ +# @package _global_ + +# to execute this experiment run: +# python train.py experiment=multispeaker + +defaults: + - override /data: ljspeech.yaml + +# all parameters below will be merged with parameters from default configurations set above +# this allows you to overwrite only specified parameters + +tags: ["ljspeech"] + +run_name: ljspeech diff --git a/CosyVoice/third_party/Matcha-TTS/configs/experiment/ljspeech_min_memory.yaml b/CosyVoice/third_party/Matcha-TTS/configs/experiment/ljspeech_min_memory.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ef554dc633c392b1592d90d9d7734f2329264fdd --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/experiment/ljspeech_min_memory.yaml @@ -0,0 +1,18 @@ +# @package _global_ + +# to execute this experiment run: +# python train.py experiment=multispeaker + +defaults: + - override /data: ljspeech.yaml + +# all parameters below will be merged with parameters from default configurations set above +# this allows you to overwrite only specified parameters + +tags: ["ljspeech"] + +run_name: ljspeech_min + + +model: + out_size: 172 diff --git a/CosyVoice/third_party/Matcha-TTS/configs/experiment/multispeaker.yaml b/CosyVoice/third_party/Matcha-TTS/configs/experiment/multispeaker.yaml new file mode 100644 index 0000000000000000000000000000000000000000..553842f4e2168db0fee4e44db11b5d086295b044 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/experiment/multispeaker.yaml @@ -0,0 +1,14 @@ +# @package _global_ + +# to execute this experiment run: +# python train.py experiment=multispeaker + +defaults: + - override /data: vctk.yaml + +# all parameters below will be merged with parameters from default configurations set above +# this allows you to overwrite only specified parameters + +tags: ["multispeaker"] + +run_name: multispeaker diff --git a/CosyVoice/third_party/Matcha-TTS/configs/extras/default.yaml b/CosyVoice/third_party/Matcha-TTS/configs/extras/default.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b9c6b622283a647fbc513166fc14f016cc3ed8a0 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/extras/default.yaml @@ -0,0 +1,8 @@ +# disable python warnings if they annoy you +ignore_warnings: False + +# ask user for tags if none are provided in the config +enforce_tags: True + +# pretty print config tree at the start of the run using Rich library +print_config: True diff --git a/CosyVoice/third_party/Matcha-TTS/configs/hparams_search/mnist_optuna.yaml b/CosyVoice/third_party/Matcha-TTS/configs/hparams_search/mnist_optuna.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1391183ebcdec3d8f5eb61374e0719d13c7545da --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/hparams_search/mnist_optuna.yaml @@ -0,0 +1,52 @@ +# @package _global_ + +# example hyperparameter optimization of some experiment with Optuna: +# python train.py -m hparams_search=mnist_optuna experiment=example + +defaults: + - override /hydra/sweeper: optuna + +# choose metric which will be optimized by Optuna +# make sure this is the correct name of some metric logged in lightning module! +optimized_metric: "val/acc_best" + +# here we define Optuna hyperparameter search +# it optimizes for value returned from function with @hydra.main decorator +# docs: https://hydra.cc/docs/next/plugins/optuna_sweeper +hydra: + mode: "MULTIRUN" # set hydra to multirun by default if this config is attached + + sweeper: + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + + # storage URL to persist optimization results + # for example, you can use SQLite if you set 'sqlite:///example.db' + storage: null + + # name of the study to persist optimization results + study_name: null + + # number of parallel workers + n_jobs: 1 + + # 'minimize' or 'maximize' the objective + direction: maximize + + # total number of runs that will be executed + n_trials: 20 + + # choose Optuna hyperparameter sampler + # you can choose bayesian sampler (tpe), random search (without optimization), grid sampler, and others + # docs: https://optuna.readthedocs.io/en/stable/reference/samplers.html + sampler: + _target_: optuna.samplers.TPESampler + seed: 1234 + n_startup_trials: 10 # number of random sampling runs before optimization starts + + # define hyperparameter search space + params: + model.optimizer.lr: interval(0.0001, 0.1) + data.batch_size: choice(32, 64, 128, 256) + model.net.lin1_size: choice(64, 128, 256) + model.net.lin2_size: choice(64, 128, 256) + model.net.lin3_size: choice(32, 64, 128, 256) diff --git a/CosyVoice/third_party/Matcha-TTS/configs/hydra/default.yaml b/CosyVoice/third_party/Matcha-TTS/configs/hydra/default.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1533136b22802a4f81e5387b74e407289edce94d --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/hydra/default.yaml @@ -0,0 +1,19 @@ +# https://hydra.cc/docs/configure_hydra/intro/ + +# enable color logging +defaults: + - override hydra_logging: colorlog + - override job_logging: colorlog + +# output directory, generated dynamically on each run +run: + dir: ${paths.log_dir}/${task_name}/${run_name}/runs/${now:%Y-%m-%d}_${now:%H-%M-%S} +sweep: + dir: ${paths.log_dir}/${task_name}/${run_name}/multiruns/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + +job_logging: + handlers: + file: + # Incorporates fix from https://github.com/facebookresearch/hydra/pull/2242 + filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log diff --git a/CosyVoice/third_party/Matcha-TTS/configs/local/.gitkeep b/CosyVoice/third_party/Matcha-TTS/configs/local/.gitkeep new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/CosyVoice/third_party/Matcha-TTS/configs/logger/aim.yaml b/CosyVoice/third_party/Matcha-TTS/configs/logger/aim.yaml new file mode 100644 index 0000000000000000000000000000000000000000..8f9f6adad7feb2780c2efd5ddb0ed053621e05f8 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/logger/aim.yaml @@ -0,0 +1,28 @@ +# https://aimstack.io/ + +# example usage in lightning module: +# https://github.com/aimhubio/aim/blob/main/examples/pytorch_lightning_track.py + +# open the Aim UI with the following command (run in the folder containing the `.aim` folder): +# `aim up` + +aim: + _target_: aim.pytorch_lightning.AimLogger + repo: ${paths.root_dir} # .aim folder will be created here + # repo: "aim://ip_address:port" # can instead provide IP address pointing to Aim remote tracking server which manages the repo, see https://aimstack.readthedocs.io/en/latest/using/remote_tracking.html# + + # aim allows to group runs under experiment name + experiment: null # any string, set to "default" if not specified + + train_metric_prefix: "train/" + val_metric_prefix: "val/" + test_metric_prefix: "test/" + + # sets the tracking interval in seconds for system usage metrics (CPU, GPU, memory, etc.) + system_tracking_interval: 10 # set to null to disable system metrics tracking + + # enable/disable logging of system params such as installed packages, git info, env vars, etc. + log_system_params: true + + # enable/disable tracking console logs (default value is true) + capture_terminal_logs: false # set to false to avoid infinite console log loop issue https://github.com/aimhubio/aim/issues/2550 diff --git a/CosyVoice/third_party/Matcha-TTS/configs/logger/comet.yaml b/CosyVoice/third_party/Matcha-TTS/configs/logger/comet.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e0789274e2137ee6c97ca37a5d56c2b8abaf0aaa --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/logger/comet.yaml @@ -0,0 +1,12 @@ +# https://www.comet.ml + +comet: + _target_: lightning.pytorch.loggers.comet.CometLogger + api_key: ${oc.env:COMET_API_TOKEN} # api key is loaded from environment variable + save_dir: "${paths.output_dir}" + project_name: "lightning-hydra-template" + rest_api_key: null + # experiment_name: "" + experiment_key: null # set to resume experiment + offline: False + prefix: "" diff --git a/CosyVoice/third_party/Matcha-TTS/configs/logger/csv.yaml b/CosyVoice/third_party/Matcha-TTS/configs/logger/csv.yaml new file mode 100644 index 0000000000000000000000000000000000000000..fa028e9c146430c319101ffdfce466514338591c --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/logger/csv.yaml @@ -0,0 +1,7 @@ +# csv logger built in lightning + +csv: + _target_: lightning.pytorch.loggers.csv_logs.CSVLogger + save_dir: "${paths.output_dir}" + name: "csv/" + prefix: "" diff --git a/CosyVoice/third_party/Matcha-TTS/configs/logger/many_loggers.yaml b/CosyVoice/third_party/Matcha-TTS/configs/logger/many_loggers.yaml new file mode 100644 index 0000000000000000000000000000000000000000..dd586800bdccb4e8f4b0236a181b7ddd756ba9ab --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/logger/many_loggers.yaml @@ -0,0 +1,9 @@ +# train with many loggers at once + +defaults: + # - comet + - csv + # - mlflow + # - neptune + - tensorboard + - wandb diff --git a/CosyVoice/third_party/Matcha-TTS/configs/logger/mlflow.yaml b/CosyVoice/third_party/Matcha-TTS/configs/logger/mlflow.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f8fb7e685fa27fc8141387a421b90a0b9b492d9e --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/logger/mlflow.yaml @@ -0,0 +1,12 @@ +# https://mlflow.org + +mlflow: + _target_: lightning.pytorch.loggers.mlflow.MLFlowLogger + # experiment_name: "" + # run_name: "" + tracking_uri: ${paths.log_dir}/mlflow/mlruns # run `mlflow ui` command inside the `logs/mlflow/` dir to open the UI + tags: null + # save_dir: "./mlruns" + prefix: "" + artifact_location: null + # run_id: "" diff --git a/CosyVoice/third_party/Matcha-TTS/configs/logger/neptune.yaml b/CosyVoice/third_party/Matcha-TTS/configs/logger/neptune.yaml new file mode 100644 index 0000000000000000000000000000000000000000..8233c140018ecce6ab62971beed269991d31c89b --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/logger/neptune.yaml @@ -0,0 +1,9 @@ +# https://neptune.ai + +neptune: + _target_: lightning.pytorch.loggers.neptune.NeptuneLogger + api_key: ${oc.env:NEPTUNE_API_TOKEN} # api key is loaded from environment variable + project: username/lightning-hydra-template + # name: "" + log_model_checkpoints: True + prefix: "" diff --git a/CosyVoice/third_party/Matcha-TTS/configs/logger/tensorboard.yaml b/CosyVoice/third_party/Matcha-TTS/configs/logger/tensorboard.yaml new file mode 100644 index 0000000000000000000000000000000000000000..2bd31f6d8ba68d1f5c36a804885d5b9f9c1a9302 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/logger/tensorboard.yaml @@ -0,0 +1,10 @@ +# https://www.tensorflow.org/tensorboard/ + +tensorboard: + _target_: lightning.pytorch.loggers.tensorboard.TensorBoardLogger + save_dir: "${paths.output_dir}/tensorboard/" + name: null + log_graph: False + default_hp_metric: True + prefix: "" + # version: "" diff --git a/CosyVoice/third_party/Matcha-TTS/configs/logger/wandb.yaml b/CosyVoice/third_party/Matcha-TTS/configs/logger/wandb.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ece165889b3d0d9dc750a8f3c7454188cfdf12b7 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/logger/wandb.yaml @@ -0,0 +1,16 @@ +# https://wandb.ai + +wandb: + _target_: lightning.pytorch.loggers.wandb.WandbLogger + # name: "" # name of the run (normally generated by wandb) + save_dir: "${paths.output_dir}" + offline: False + id: null # pass correct id to resume experiment! + anonymous: null # enable anonymous logging + project: "lightning-hydra-template" + log_model: False # upload lightning ckpts + prefix: "" # a string to put at the beginning of metric keys + # entity: "" # set to name of your wandb team + group: "" + tags: [] + job_type: "" diff --git a/CosyVoice/third_party/Matcha-TTS/configs/model/cfm/default.yaml b/CosyVoice/third_party/Matcha-TTS/configs/model/cfm/default.yaml new file mode 100644 index 0000000000000000000000000000000000000000..0d1d9609e2d05c7b0a12a26115520340ac18e584 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/model/cfm/default.yaml @@ -0,0 +1,3 @@ +name: CFM +solver: euler +sigma_min: 1e-4 diff --git a/CosyVoice/third_party/Matcha-TTS/configs/model/decoder/default.yaml b/CosyVoice/third_party/Matcha-TTS/configs/model/decoder/default.yaml new file mode 100644 index 0000000000000000000000000000000000000000..aaa00e63402ade5c76247a2f1d6b294ec3c61e63 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/model/decoder/default.yaml @@ -0,0 +1,7 @@ +channels: [256, 256] +dropout: 0.05 +attention_head_dim: 64 +n_blocks: 1 +num_mid_blocks: 2 +num_heads: 2 +act_fn: snakebeta diff --git a/CosyVoice/third_party/Matcha-TTS/configs/model/encoder/default.yaml b/CosyVoice/third_party/Matcha-TTS/configs/model/encoder/default.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d4d5e5adee8f707bd384b682a3ad9a116c40c6ed --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/model/encoder/default.yaml @@ -0,0 +1,18 @@ +encoder_type: RoPE Encoder +encoder_params: + n_feats: ${model.n_feats} + n_channels: 192 + filter_channels: 768 + filter_channels_dp: 256 + n_heads: 2 + n_layers: 6 + kernel_size: 3 + p_dropout: 0.1 + spk_emb_dim: 64 + n_spks: 1 + prenet: true + +duration_predictor_params: + filter_channels_dp: ${model.encoder.encoder_params.filter_channels_dp} + kernel_size: 3 + p_dropout: ${model.encoder.encoder_params.p_dropout} diff --git a/CosyVoice/third_party/Matcha-TTS/configs/model/matcha.yaml b/CosyVoice/third_party/Matcha-TTS/configs/model/matcha.yaml new file mode 100644 index 0000000000000000000000000000000000000000..36f6eafbdcaa324f7494a4b97a7590da7824f357 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/model/matcha.yaml @@ -0,0 +1,15 @@ +defaults: + - _self_ + - encoder: default.yaml + - decoder: default.yaml + - cfm: default.yaml + - optimizer: adam.yaml + +_target_: matcha.models.matcha_tts.MatchaTTS +n_vocab: 178 +n_spks: ${data.n_spks} +spk_emb_dim: 64 +n_feats: 80 +data_statistics: ${data.data_statistics} +out_size: null # Must be divisible by 4 +prior_loss: true diff --git a/CosyVoice/third_party/Matcha-TTS/configs/model/optimizer/adam.yaml b/CosyVoice/third_party/Matcha-TTS/configs/model/optimizer/adam.yaml new file mode 100644 index 0000000000000000000000000000000000000000..42795577474eaee5b0b96845a95e1a11c9152385 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/model/optimizer/adam.yaml @@ -0,0 +1,4 @@ +_target_: torch.optim.Adam +_partial_: true +lr: 1e-4 +weight_decay: 0.0 diff --git a/CosyVoice/third_party/Matcha-TTS/configs/paths/default.yaml b/CosyVoice/third_party/Matcha-TTS/configs/paths/default.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ec81db2d34712909a79be3e42e65efe08c35ecee --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/paths/default.yaml @@ -0,0 +1,18 @@ +# path to root directory +# this requires PROJECT_ROOT environment variable to exist +# you can replace it with "." if you want the root to be the current working directory +root_dir: ${oc.env:PROJECT_ROOT} + +# path to data directory +data_dir: ${paths.root_dir}/data/ + +# path to logging directory +log_dir: ${paths.root_dir}/logs/ + +# path to output directory, created dynamically by hydra +# path generation pattern is specified in `configs/hydra/default.yaml` +# use it to store all files generated during the run, like ckpts and metrics +output_dir: ${hydra:runtime.output_dir} + +# path to working directory +work_dir: ${hydra:runtime.cwd} diff --git a/CosyVoice/third_party/Matcha-TTS/configs/train.yaml b/CosyVoice/third_party/Matcha-TTS/configs/train.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e6f5c2e7b9781758c8d25f941f004ca383c3f494 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/train.yaml @@ -0,0 +1,51 @@ +# @package _global_ + +# specify here default configuration +# order of defaults determines the order in which configs override each other +defaults: + - _self_ + - data: ljspeech + - model: matcha + - callbacks: default + - logger: tensorboard # set logger here or use command line (e.g. `python train.py logger=tensorboard`) + - trainer: default + - paths: default + - extras: default + - hydra: default + + # experiment configs allow for version control of specific hyperparameters + # e.g. best hyperparameters for given model and datamodule + - experiment: null + + # config for hyperparameter optimization + - hparams_search: null + + # optional local config for machine/user specific settings + # it's optional since it doesn't need to exist and is excluded from version control + - optional local: default + + # debugging config (enable through command line, e.g. `python train.py debug=default) + - debug: null + +# task name, determines output directory path +task_name: "train" + +run_name: ??? + +# tags to help you identify your experiments +# you can overwrite this in experiment configs +# overwrite from command line with `python train.py tags="[first_tag, second_tag]"` +tags: ["dev"] + +# set False to skip model training +train: True + +# evaluate on test set, using best model weights achieved during training +# lightning chooses best weights based on the metric specified in checkpoint callback +test: True + +# simply provide checkpoint path to resume training +ckpt_path: null + +# seed for random number generators in pytorch, numpy and python.random +seed: 1234 diff --git a/CosyVoice/third_party/Matcha-TTS/configs/trainer/cpu.yaml b/CosyVoice/third_party/Matcha-TTS/configs/trainer/cpu.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b7d6767e60c956567555980654f15e7bb673a41f --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/trainer/cpu.yaml @@ -0,0 +1,5 @@ +defaults: + - default + +accelerator: cpu +devices: 1 diff --git a/CosyVoice/third_party/Matcha-TTS/configs/trainer/ddp.yaml b/CosyVoice/third_party/Matcha-TTS/configs/trainer/ddp.yaml new file mode 100644 index 0000000000000000000000000000000000000000..94b43e20ca7bf1f2ea92627fd46906e4f0a273a1 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/trainer/ddp.yaml @@ -0,0 +1,9 @@ +defaults: + - default + +strategy: ddp + +accelerator: gpu +devices: [0,1] +num_nodes: 1 +sync_batchnorm: True diff --git a/CosyVoice/third_party/Matcha-TTS/configs/trainer/ddp_sim.yaml b/CosyVoice/third_party/Matcha-TTS/configs/trainer/ddp_sim.yaml new file mode 100644 index 0000000000000000000000000000000000000000..8404419e5c295654967d0dfb73a7366e75be2f1f --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/trainer/ddp_sim.yaml @@ -0,0 +1,7 @@ +defaults: + - default + +# simulate DDP on CPU, useful for debugging +accelerator: cpu +devices: 2 +strategy: ddp_spawn diff --git a/CosyVoice/third_party/Matcha-TTS/configs/trainer/default.yaml b/CosyVoice/third_party/Matcha-TTS/configs/trainer/default.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ee3d370d8ca6b08d7ee7a86d34184c2104f0e1ef --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/trainer/default.yaml @@ -0,0 +1,20 @@ +_target_: lightning.pytorch.trainer.Trainer + +default_root_dir: ${paths.output_dir} + +max_epochs: -1 + +accelerator: gpu +devices: [0] + +# mixed precision for extra speed-up +precision: 16-mixed + +# perform a validation loop every N training epochs +check_val_every_n_epoch: 1 + +# set True to to ensure deterministic results +# makes training slower but gives more reproducibility than just setting seeds +deterministic: False + +gradient_clip_val: 5.0 diff --git a/CosyVoice/third_party/Matcha-TTS/configs/trainer/gpu.yaml b/CosyVoice/third_party/Matcha-TTS/configs/trainer/gpu.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b2389510a90f5f0161cff6ccfcb4a96097ddf9a1 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/trainer/gpu.yaml @@ -0,0 +1,5 @@ +defaults: + - default + +accelerator: gpu +devices: 1 diff --git a/CosyVoice/third_party/Matcha-TTS/configs/trainer/mps.yaml b/CosyVoice/third_party/Matcha-TTS/configs/trainer/mps.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1ecf6d5cc3a34ca127c5510f4a18e989561e38e4 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/configs/trainer/mps.yaml @@ -0,0 +1,5 @@ +defaults: + - default + +accelerator: mps +devices: 1 diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/VERSION b/CosyVoice/third_party/Matcha-TTS/matcha/VERSION new file mode 100644 index 0000000000000000000000000000000000000000..442b1138f7851df1c22deb15fd5d6ff5b742e550 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/VERSION @@ -0,0 +1 @@ +0.0.5.1 diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/__init__.py b/CosyVoice/third_party/Matcha-TTS/matcha/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/app.py b/CosyVoice/third_party/Matcha-TTS/matcha/app.py new file mode 100644 index 0000000000000000000000000000000000000000..d68fbaa2d10d1faab606d89906af5e8b6baa5aa4 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/app.py @@ -0,0 +1,357 @@ +import tempfile +from argparse import Namespace +from pathlib import Path + +import gradio as gr +import soundfile as sf +import torch + +from matcha.cli import ( + MATCHA_URLS, + VOCODER_URLS, + assert_model_downloaded, + get_device, + load_matcha, + load_vocoder, + process_text, + to_waveform, +) +from matcha.utils.utils import get_user_data_dir, plot_tensor + +LOCATION = Path(get_user_data_dir()) + +args = Namespace( + cpu=False, + model="matcha_vctk", + vocoder="hifigan_univ_v1", + spk=0, +) + +CURRENTLY_LOADED_MODEL = args.model + + +def MATCHA_TTS_LOC(x): + return LOCATION / f"{x}.ckpt" + + +def VOCODER_LOC(x): + return LOCATION / f"{x}" + + +LOGO_URL = "https://shivammehta25.github.io/Matcha-TTS/images/logo.png" +RADIO_OPTIONS = { + "Multi Speaker (VCTK)": { + "model": "matcha_vctk", + "vocoder": "hifigan_univ_v1", + }, + "Single Speaker (LJ Speech)": { + "model": "matcha_ljspeech", + "vocoder": "hifigan_T2_v1", + }, +} + +# Ensure all the required models are downloaded +assert_model_downloaded(MATCHA_TTS_LOC("matcha_ljspeech"), MATCHA_URLS["matcha_ljspeech"]) +assert_model_downloaded(VOCODER_LOC("hifigan_T2_v1"), VOCODER_URLS["hifigan_T2_v1"]) +assert_model_downloaded(MATCHA_TTS_LOC("matcha_vctk"), MATCHA_URLS["matcha_vctk"]) +assert_model_downloaded(VOCODER_LOC("hifigan_univ_v1"), VOCODER_URLS["hifigan_univ_v1"]) + +device = get_device(args) + +# Load default model +model = load_matcha(args.model, MATCHA_TTS_LOC(args.model), device) +vocoder, denoiser = load_vocoder(args.vocoder, VOCODER_LOC(args.vocoder), device) + + +def load_model(model_name, vocoder_name): + model = load_matcha(model_name, MATCHA_TTS_LOC(model_name), device) + vocoder, denoiser = load_vocoder(vocoder_name, VOCODER_LOC(vocoder_name), device) + return model, vocoder, denoiser + + +def load_model_ui(model_type, textbox): + model_name, vocoder_name = RADIO_OPTIONS[model_type]["model"], RADIO_OPTIONS[model_type]["vocoder"] + + global model, vocoder, denoiser, CURRENTLY_LOADED_MODEL # pylint: disable=global-statement + if CURRENTLY_LOADED_MODEL != model_name: + model, vocoder, denoiser = load_model(model_name, vocoder_name) + CURRENTLY_LOADED_MODEL = model_name + + if model_name == "matcha_ljspeech": + spk_slider = gr.update(visible=False, value=-1) + single_speaker_examples = gr.update(visible=True) + multi_speaker_examples = gr.update(visible=False) + length_scale = gr.update(value=0.95) + else: + spk_slider = gr.update(visible=True, value=0) + single_speaker_examples = gr.update(visible=False) + multi_speaker_examples = gr.update(visible=True) + length_scale = gr.update(value=0.85) + + return ( + textbox, + gr.update(interactive=True), + spk_slider, + single_speaker_examples, + multi_speaker_examples, + length_scale, + ) + + +@torch.inference_mode() +def process_text_gradio(text): + output = process_text(1, text, device) + return output["x_phones"][1::2], output["x"], output["x_lengths"] + + +@torch.inference_mode() +def synthesise_mel(text, text_length, n_timesteps, temperature, length_scale, spk): + spk = torch.tensor([spk], device=device, dtype=torch.long) if spk >= 0 else None + output = model.synthesise( + text, + text_length, + n_timesteps=n_timesteps, + temperature=temperature, + spks=spk, + length_scale=length_scale, + ) + output["waveform"] = to_waveform(output["mel"], vocoder, denoiser) + with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp: + sf.write(fp.name, output["waveform"], 22050, "PCM_24") + + return fp.name, plot_tensor(output["mel"].squeeze().cpu().numpy()) + + +def multispeaker_example_cacher(text, n_timesteps, mel_temp, length_scale, spk): + global CURRENTLY_LOADED_MODEL # pylint: disable=global-statement + if CURRENTLY_LOADED_MODEL != "matcha_vctk": + global model, vocoder, denoiser # pylint: disable=global-statement + model, vocoder, denoiser = load_model("matcha_vctk", "hifigan_univ_v1") + CURRENTLY_LOADED_MODEL = "matcha_vctk" + + phones, text, text_lengths = process_text_gradio(text) + audio, mel_spectrogram = synthesise_mel(text, text_lengths, n_timesteps, mel_temp, length_scale, spk) + return phones, audio, mel_spectrogram + + +def ljspeech_example_cacher(text, n_timesteps, mel_temp, length_scale, spk=-1): + global CURRENTLY_LOADED_MODEL # pylint: disable=global-statement + if CURRENTLY_LOADED_MODEL != "matcha_ljspeech": + global model, vocoder, denoiser # pylint: disable=global-statement + model, vocoder, denoiser = load_model("matcha_ljspeech", "hifigan_T2_v1") + CURRENTLY_LOADED_MODEL = "matcha_ljspeech" + + phones, text, text_lengths = process_text_gradio(text) + audio, mel_spectrogram = synthesise_mel(text, text_lengths, n_timesteps, mel_temp, length_scale, spk) + return phones, audio, mel_spectrogram + + +def main(): + description = """# 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching + ### [Shivam Mehta](https://www.kth.se/profile/smehta), [Ruibo Tu](https://www.kth.se/profile/ruibo), [Jonas Beskow](https://www.kth.se/profile/beskow), [Éva Székely](https://www.kth.se/profile/szekely), and [Gustav Eje Henter](https://people.kth.se/~ghe/) + We propose 🍵 Matcha-TTS, a new approach to non-autoregressive neural TTS, that uses conditional flow matching (similar to rectified flows) to speed up ODE-based speech synthesis. Our method: + + + * Is probabilistic + * Has compact memory footprint + * Sounds highly natural + * Is very fast to synthesise from + + + Check out our [demo page](https://shivammehta25.github.io/Matcha-TTS). Read our [arXiv preprint for more details](https://arxiv.org/abs/2309.03199). + Code is available in our [GitHub repository](https://github.com/shivammehta25/Matcha-TTS), along with pre-trained models. + + Cached examples are available at the bottom of the page. + """ + + with gr.Blocks(title="🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching") as demo: + processed_text = gr.State(value=None) + processed_text_len = gr.State(value=None) + + with gr.Box(): + with gr.Row(): + gr.Markdown(description, scale=3) + with gr.Column(): + gr.Image(LOGO_URL, label="Matcha-TTS logo", height=50, width=50, scale=1, show_label=False) + html = '
' + gr.HTML(html) + + with gr.Box(): + radio_options = list(RADIO_OPTIONS.keys()) + model_type = gr.Radio( + radio_options, value=radio_options[0], label="Choose a Model", interactive=True, container=False + ) + + with gr.Row(): + gr.Markdown("# Text Input") + with gr.Row(): + text = gr.Textbox(value="", lines=2, label="Text to synthesise", scale=3) + spk_slider = gr.Slider( + minimum=0, maximum=107, step=1, value=args.spk, label="Speaker ID", interactive=True, scale=1 + ) + + with gr.Row(): + gr.Markdown("### Hyper parameters") + with gr.Row(): + n_timesteps = gr.Slider( + label="Number of ODE steps", + minimum=1, + maximum=100, + step=1, + value=10, + interactive=True, + ) + length_scale = gr.Slider( + label="Length scale (Speaking rate)", + minimum=0.5, + maximum=1.5, + step=0.05, + value=1.0, + interactive=True, + ) + mel_temp = gr.Slider( + label="Sampling temperature", + minimum=0.00, + maximum=2.001, + step=0.16675, + value=0.667, + interactive=True, + ) + + synth_btn = gr.Button("Synthesise") + + with gr.Box(): + with gr.Row(): + gr.Markdown("### Phonetised text") + phonetised_text = gr.Textbox(interactive=False, scale=10, label="Phonetised text") + + with gr.Box(): + with gr.Row(): + mel_spectrogram = gr.Image(interactive=False, label="mel spectrogram") + + # with gr.Row(): + audio = gr.Audio(interactive=False, label="Audio") + + with gr.Row(visible=False) as example_row_lj_speech: + examples = gr.Examples( # pylint: disable=unused-variable + examples=[ + [ + "We propose Matcha-TTS, a new approach to non-autoregressive neural TTS, that uses conditional flow matching (similar to rectified flows) to speed up O D E-based speech synthesis.", + 50, + 0.677, + 0.95, + ], + [ + "The Secret Service believed that it was very doubtful that any President would ride regularly in a vehicle with a fixed top, even though transparent.", + 2, + 0.677, + 0.95, + ], + [ + "The Secret Service believed that it was very doubtful that any President would ride regularly in a vehicle with a fixed top, even though transparent.", + 4, + 0.677, + 0.95, + ], + [ + "The Secret Service believed that it was very doubtful that any President would ride regularly in a vehicle with a fixed top, even though transparent.", + 10, + 0.677, + 0.95, + ], + [ + "The Secret Service believed that it was very doubtful that any President would ride regularly in a vehicle with a fixed top, even though transparent.", + 50, + 0.677, + 0.95, + ], + [ + "The narrative of these events is based largely on the recollections of the participants.", + 10, + 0.677, + 0.95, + ], + [ + "The jury did not believe him, and the verdict was for the defendants.", + 10, + 0.677, + 0.95, + ], + ], + fn=ljspeech_example_cacher, + inputs=[text, n_timesteps, mel_temp, length_scale], + outputs=[phonetised_text, audio, mel_spectrogram], + cache_examples=True, + ) + + with gr.Row() as example_row_multispeaker: + multi_speaker_examples = gr.Examples( # pylint: disable=unused-variable + examples=[ + [ + "Hello everyone! I am speaker 0 and I am here to tell you that Matcha-TTS is amazing!", + 10, + 0.677, + 0.85, + 0, + ], + [ + "Hello everyone! I am speaker 16 and I am here to tell you that Matcha-TTS is amazing!", + 10, + 0.677, + 0.85, + 16, + ], + [ + "Hello everyone! I am speaker 44 and I am here to tell you that Matcha-TTS is amazing!", + 50, + 0.677, + 0.85, + 44, + ], + [ + "Hello everyone! I am speaker 45 and I am here to tell you that Matcha-TTS is amazing!", + 50, + 0.677, + 0.85, + 45, + ], + [ + "Hello everyone! I am speaker 58 and I am here to tell you that Matcha-TTS is amazing!", + 4, + 0.677, + 0.85, + 58, + ], + ], + fn=multispeaker_example_cacher, + inputs=[text, n_timesteps, mel_temp, length_scale, spk_slider], + outputs=[phonetised_text, audio, mel_spectrogram], + cache_examples=True, + label="Multi Speaker Examples", + ) + + model_type.change(lambda x: gr.update(interactive=False), inputs=[synth_btn], outputs=[synth_btn]).then( + load_model_ui, + inputs=[model_type, text], + outputs=[text, synth_btn, spk_slider, example_row_lj_speech, example_row_multispeaker, length_scale], + ) + + synth_btn.click( + fn=process_text_gradio, + inputs=[ + text, + ], + outputs=[phonetised_text, processed_text, processed_text_len], + api_name="matcha_tts", + queue=True, + ).then( + fn=synthesise_mel, + inputs=[processed_text, processed_text_len, n_timesteps, mel_temp, length_scale, spk_slider], + outputs=[audio, mel_spectrogram], + ) + + demo.queue().launch(share=True) + + +if __name__ == "__main__": + main() diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/cli.py b/CosyVoice/third_party/Matcha-TTS/matcha/cli.py new file mode 100644 index 0000000000000000000000000000000000000000..579d7d636450a41f1c06a4393d64ddbae38c5011 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/cli.py @@ -0,0 +1,418 @@ +import argparse +import datetime as dt +import os +import warnings +from pathlib import Path + +import matplotlib.pyplot as plt +import numpy as np +import soundfile as sf +import torch + +from matcha.hifigan.config import v1 +from matcha.hifigan.denoiser import Denoiser +from matcha.hifigan.env import AttrDict +from matcha.hifigan.models import Generator as HiFiGAN +from matcha.models.matcha_tts import MatchaTTS +from matcha.text import sequence_to_text, text_to_sequence +from matcha.utils.utils import assert_model_downloaded, get_user_data_dir, intersperse + +MATCHA_URLS = { + "matcha_ljspeech": "https://github.com/shivammehta25/Matcha-TTS-checkpoints/releases/download/v1.0/matcha_ljspeech.ckpt", + "matcha_vctk": "https://github.com/shivammehta25/Matcha-TTS-checkpoints/releases/download/v1.0/matcha_vctk.ckpt", +} + +VOCODER_URLS = { + "hifigan_T2_v1": "https://github.com/shivammehta25/Matcha-TTS-checkpoints/releases/download/v1.0/generator_v1", # Old url: https://drive.google.com/file/d/14NENd4equCBLyyCSke114Mv6YR_j_uFs/view?usp=drive_link + "hifigan_univ_v1": "https://github.com/shivammehta25/Matcha-TTS-checkpoints/releases/download/v1.0/g_02500000", # Old url: https://drive.google.com/file/d/1qpgI41wNXFcH-iKq1Y42JlBC9j0je8PW/view?usp=drive_link +} + +MULTISPEAKER_MODEL = { + "matcha_vctk": {"vocoder": "hifigan_univ_v1", "speaking_rate": 0.85, "spk": 0, "spk_range": (0, 107)} +} + +SINGLESPEAKER_MODEL = {"matcha_ljspeech": {"vocoder": "hifigan_T2_v1", "speaking_rate": 0.95, "spk": None}} + + +def plot_spectrogram_to_numpy(spectrogram, filename): + fig, ax = plt.subplots(figsize=(12, 3)) + im = ax.imshow(spectrogram, aspect="auto", origin="lower", interpolation="none") + plt.colorbar(im, ax=ax) + plt.xlabel("Frames") + plt.ylabel("Channels") + plt.title("Synthesised Mel-Spectrogram") + fig.canvas.draw() + plt.savefig(filename) + + +def process_text(i: int, text: str, device: torch.device): + print(f"[{i}] - Input text: {text}") + x = torch.tensor( + intersperse(text_to_sequence(text, ["english_cleaners2"]), 0), + dtype=torch.long, + device=device, + )[None] + x_lengths = torch.tensor([x.shape[-1]], dtype=torch.long, device=device) + x_phones = sequence_to_text(x.squeeze(0).tolist()) + print(f"[{i}] - Phonetised text: {x_phones[1::2]}") + + return {"x_orig": text, "x": x, "x_lengths": x_lengths, "x_phones": x_phones} + + +def get_texts(args): + if args.text: + texts = [args.text] + else: + with open(args.file, encoding="utf-8") as f: + texts = f.readlines() + return texts + + +def assert_required_models_available(args): + save_dir = get_user_data_dir() + if not hasattr(args, "checkpoint_path") and args.checkpoint_path is None: + model_path = args.checkpoint_path + else: + model_path = save_dir / f"{args.model}.ckpt" + assert_model_downloaded(model_path, MATCHA_URLS[args.model]) + + vocoder_path = save_dir / f"{args.vocoder}" + assert_model_downloaded(vocoder_path, VOCODER_URLS[args.vocoder]) + return {"matcha": model_path, "vocoder": vocoder_path} + + +def load_hifigan(checkpoint_path, device): + h = AttrDict(v1) + hifigan = HiFiGAN(h).to(device) + hifigan.load_state_dict(torch.load(checkpoint_path, map_location=device)["generator"]) + _ = hifigan.eval() + hifigan.remove_weight_norm() + return hifigan + + +def load_vocoder(vocoder_name, checkpoint_path, device): + print(f"[!] Loading {vocoder_name}!") + vocoder = None + if vocoder_name in ("hifigan_T2_v1", "hifigan_univ_v1"): + vocoder = load_hifigan(checkpoint_path, device) + else: + raise NotImplementedError( + f"Vocoder {vocoder_name} not implemented! define a load_<> method for it" + ) + + denoiser = Denoiser(vocoder, mode="zeros") + print(f"[+] {vocoder_name} loaded!") + return vocoder, denoiser + + +def load_matcha(model_name, checkpoint_path, device): + print(f"[!] Loading {model_name}!") + model = MatchaTTS.load_from_checkpoint(checkpoint_path, map_location=device) + _ = model.eval() + + print(f"[+] {model_name} loaded!") + return model + + +def to_waveform(mel, vocoder, denoiser=None): + audio = vocoder(mel).clamp(-1, 1) + if denoiser is not None: + audio = denoiser(audio.squeeze(), strength=0.00025).cpu().squeeze() + + return audio.cpu().squeeze() + + +def save_to_folder(filename: str, output: dict, folder: str): + folder = Path(folder) + folder.mkdir(exist_ok=True, parents=True) + plot_spectrogram_to_numpy(np.array(output["mel"].squeeze().float().cpu()), f"{filename}.png") + np.save(folder / f"{filename}", output["mel"].cpu().numpy()) + sf.write(folder / f"{filename}.wav", output["waveform"], 22050, "PCM_24") + return folder.resolve() / f"{filename}.wav" + + +def validate_args(args): + assert ( + args.text or args.file + ), "Either text or file must be provided Matcha-T(ea)TTS need sometext to whisk the waveforms." + assert args.temperature >= 0, "Sampling temperature cannot be negative" + assert args.steps > 0, "Number of ODE steps must be greater than 0" + + if args.checkpoint_path is None: + # When using pretrained models + if args.model in SINGLESPEAKER_MODEL: + args = validate_args_for_single_speaker_model(args) + + if args.model in MULTISPEAKER_MODEL: + args = validate_args_for_multispeaker_model(args) + else: + # When using a custom model + if args.vocoder != "hifigan_univ_v1": + warn_ = "[-] Using custom model checkpoint! I would suggest passing --vocoder hifigan_univ_v1, unless the custom model is trained on LJ Speech." + warnings.warn(warn_, UserWarning) + if args.speaking_rate is None: + args.speaking_rate = 1.0 + + if args.batched: + assert args.batch_size > 0, "Batch size must be greater than 0" + assert args.speaking_rate > 0, "Speaking rate must be greater than 0" + + return args + + +def validate_args_for_multispeaker_model(args): + if args.vocoder is not None: + if args.vocoder != MULTISPEAKER_MODEL[args.model]["vocoder"]: + warn_ = f"[-] Using {args.model} model! I would suggest passing --vocoder {MULTISPEAKER_MODEL[args.model]['vocoder']}" + warnings.warn(warn_, UserWarning) + else: + args.vocoder = MULTISPEAKER_MODEL[args.model]["vocoder"] + + if args.speaking_rate is None: + args.speaking_rate = MULTISPEAKER_MODEL[args.model]["speaking_rate"] + + spk_range = MULTISPEAKER_MODEL[args.model]["spk_range"] + if args.spk is not None: + assert ( + args.spk >= spk_range[0] and args.spk <= spk_range[-1] + ), f"Speaker ID must be between {spk_range} for this model." + else: + available_spk_id = MULTISPEAKER_MODEL[args.model]["spk"] + warn_ = f"[!] Speaker ID not provided! Using speaker ID {available_spk_id}" + warnings.warn(warn_, UserWarning) + args.spk = available_spk_id + + return args + + +def validate_args_for_single_speaker_model(args): + if args.vocoder is not None: + if args.vocoder != SINGLESPEAKER_MODEL[args.model]["vocoder"]: + warn_ = f"[-] Using {args.model} model! I would suggest passing --vocoder {SINGLESPEAKER_MODEL[args.model]['vocoder']}" + warnings.warn(warn_, UserWarning) + else: + args.vocoder = SINGLESPEAKER_MODEL[args.model]["vocoder"] + + if args.speaking_rate is None: + args.speaking_rate = SINGLESPEAKER_MODEL[args.model]["speaking_rate"] + + if args.spk != SINGLESPEAKER_MODEL[args.model]["spk"]: + warn_ = f"[-] Ignoring speaker id {args.spk} for {args.model}" + warnings.warn(warn_, UserWarning) + args.spk = SINGLESPEAKER_MODEL[args.model]["spk"] + + return args + + +@torch.inference_mode() +def cli(): + parser = argparse.ArgumentParser( + description=" 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching" + ) + parser.add_argument( + "--model", + type=str, + default="matcha_ljspeech", + help="Model to use", + choices=MATCHA_URLS.keys(), + ) + + parser.add_argument( + "--checkpoint_path", + type=str, + default=None, + help="Path to the custom model checkpoint", + ) + + parser.add_argument( + "--vocoder", + type=str, + default=None, + help="Vocoder to use (default: will use the one suggested with the pretrained model))", + choices=VOCODER_URLS.keys(), + ) + parser.add_argument("--text", type=str, default=None, help="Text to synthesize") + parser.add_argument("--file", type=str, default=None, help="Text file to synthesize") + parser.add_argument("--spk", type=int, default=None, help="Speaker ID") + parser.add_argument( + "--temperature", + type=float, + default=0.667, + help="Variance of the x0 noise (default: 0.667)", + ) + parser.add_argument( + "--speaking_rate", + type=float, + default=None, + help="change the speaking rate, a higher value means slower speaking rate (default: 1.0)", + ) + parser.add_argument("--steps", type=int, default=10, help="Number of ODE steps (default: 10)") + parser.add_argument("--cpu", action="store_true", help="Use CPU for inference (default: use GPU if available)") + parser.add_argument( + "--denoiser_strength", + type=float, + default=0.00025, + help="Strength of the vocoder bias denoiser (default: 0.00025)", + ) + parser.add_argument( + "--output_folder", + type=str, + default=os.getcwd(), + help="Output folder to save results (default: current dir)", + ) + parser.add_argument("--batched", action="store_true", help="Batched inference (default: False)") + parser.add_argument( + "--batch_size", type=int, default=32, help="Batch size only useful when --batched (default: 32)" + ) + + args = parser.parse_args() + + args = validate_args(args) + device = get_device(args) + print_config(args) + paths = assert_required_models_available(args) + + if args.checkpoint_path is not None: + print(f"[🍵] Loading custom model from {args.checkpoint_path}") + paths["matcha"] = args.checkpoint_path + args.model = "custom_model" + + model = load_matcha(args.model, paths["matcha"], device) + vocoder, denoiser = load_vocoder(args.vocoder, paths["vocoder"], device) + + texts = get_texts(args) + + spk = torch.tensor([args.spk], device=device, dtype=torch.long) if args.spk is not None else None + if len(texts) == 1 or not args.batched: + unbatched_synthesis(args, device, model, vocoder, denoiser, texts, spk) + else: + batched_synthesis(args, device, model, vocoder, denoiser, texts, spk) + + +class BatchedSynthesisDataset(torch.utils.data.Dataset): + def __init__(self, processed_texts): + self.processed_texts = processed_texts + + def __len__(self): + return len(self.processed_texts) + + def __getitem__(self, idx): + return self.processed_texts[idx] + + +def batched_collate_fn(batch): + x = [] + x_lengths = [] + + for b in batch: + x.append(b["x"].squeeze(0)) + x_lengths.append(b["x_lengths"]) + + x = torch.nn.utils.rnn.pad_sequence(x, batch_first=True) + x_lengths = torch.concat(x_lengths, dim=0) + return {"x": x, "x_lengths": x_lengths} + + +def batched_synthesis(args, device, model, vocoder, denoiser, texts, spk): + total_rtf = [] + total_rtf_w = [] + processed_text = [process_text(i, text, "cpu") for i, text in enumerate(texts)] + dataloader = torch.utils.data.DataLoader( + BatchedSynthesisDataset(processed_text), + batch_size=args.batch_size, + collate_fn=batched_collate_fn, + num_workers=8, + ) + for i, batch in enumerate(dataloader): + i = i + 1 + start_t = dt.datetime.now() + output = model.synthesise( + batch["x"].to(device), + batch["x_lengths"].to(device), + n_timesteps=args.steps, + temperature=args.temperature, + spks=spk, + length_scale=args.speaking_rate, + ) + + output["waveform"] = to_waveform(output["mel"], vocoder, denoiser) + t = (dt.datetime.now() - start_t).total_seconds() + rtf_w = t * 22050 / (output["waveform"].shape[-1]) + print(f"[🍵-Batch: {i}] Matcha-TTS RTF: {output['rtf']:.4f}") + print(f"[🍵-Batch: {i}] Matcha-TTS + VOCODER RTF: {rtf_w:.4f}") + total_rtf.append(output["rtf"]) + total_rtf_w.append(rtf_w) + for j in range(output["mel"].shape[0]): + base_name = f"utterance_{j:03d}_speaker_{args.spk:03d}" if args.spk is not None else f"utterance_{j:03d}" + length = output["mel_lengths"][j] + new_dict = {"mel": output["mel"][j][:, :length], "waveform": output["waveform"][j][: length * 256]} + location = save_to_folder(base_name, new_dict, args.output_folder) + print(f"[🍵-{j}] Waveform saved: {location}") + + print("".join(["="] * 100)) + print(f"[🍵] Average Matcha-TTS RTF: {np.mean(total_rtf):.4f} ± {np.std(total_rtf)}") + print(f"[🍵] Average Matcha-TTS + VOCODER RTF: {np.mean(total_rtf_w):.4f} ± {np.std(total_rtf_w)}") + print("[🍵] Enjoy the freshly whisked 🍵 Matcha-TTS!") + + +def unbatched_synthesis(args, device, model, vocoder, denoiser, texts, spk): + total_rtf = [] + total_rtf_w = [] + for i, text in enumerate(texts): + i = i + 1 + base_name = f"utterance_{i:03d}_speaker_{args.spk:03d}" if args.spk is not None else f"utterance_{i:03d}" + + print("".join(["="] * 100)) + text = text.strip() + text_processed = process_text(i, text, device) + + print(f"[🍵] Whisking Matcha-T(ea)TS for: {i}") + start_t = dt.datetime.now() + output = model.synthesise( + text_processed["x"], + text_processed["x_lengths"], + n_timesteps=args.steps, + temperature=args.temperature, + spks=spk, + length_scale=args.speaking_rate, + ) + output["waveform"] = to_waveform(output["mel"], vocoder, denoiser) + # RTF with HiFiGAN + t = (dt.datetime.now() - start_t).total_seconds() + rtf_w = t * 22050 / (output["waveform"].shape[-1]) + print(f"[🍵-{i}] Matcha-TTS RTF: {output['rtf']:.4f}") + print(f"[🍵-{i}] Matcha-TTS + VOCODER RTF: {rtf_w:.4f}") + total_rtf.append(output["rtf"]) + total_rtf_w.append(rtf_w) + + location = save_to_folder(base_name, output, args.output_folder) + print(f"[+] Waveform saved: {location}") + + print("".join(["="] * 100)) + print(f"[🍵] Average Matcha-TTS RTF: {np.mean(total_rtf):.4f} ± {np.std(total_rtf)}") + print(f"[🍵] Average Matcha-TTS + VOCODER RTF: {np.mean(total_rtf_w):.4f} ± {np.std(total_rtf_w)}") + print("[🍵] Enjoy the freshly whisked 🍵 Matcha-TTS!") + + +def print_config(args): + print("[!] Configurations: ") + print(f"\t- Model: {args.model}") + print(f"\t- Vocoder: {args.vocoder}") + print(f"\t- Temperature: {args.temperature}") + print(f"\t- Speaking rate: {args.speaking_rate}") + print(f"\t- Number of ODE steps: {args.steps}") + print(f"\t- Speaker: {args.spk}") + + +def get_device(args): + if torch.cuda.is_available() and not args.cpu: + print("[+] GPU Available! Using GPU") + device = torch.device("cuda") + else: + print("[-] GPU not available or forced CPU run! Using CPU") + device = torch.device("cpu") + return device + + +if __name__ == "__main__": + cli() diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/data/__init__.py b/CosyVoice/third_party/Matcha-TTS/matcha/data/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/data/components/__init__.py b/CosyVoice/third_party/Matcha-TTS/matcha/data/components/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/data/text_mel_datamodule.py b/CosyVoice/third_party/Matcha-TTS/matcha/data/text_mel_datamodule.py new file mode 100644 index 0000000000000000000000000000000000000000..704f93629f1874b88efd07609409653ffbb8338a --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/data/text_mel_datamodule.py @@ -0,0 +1,231 @@ +import random +from typing import Any, Dict, Optional + +import torch +import torchaudio as ta +from lightning import LightningDataModule +from torch.utils.data.dataloader import DataLoader + +from matcha.text import text_to_sequence +from matcha.utils.audio import mel_spectrogram +from matcha.utils.model import fix_len_compatibility, normalize +from matcha.utils.utils import intersperse + + +def parse_filelist(filelist_path, split_char="|"): + with open(filelist_path, encoding="utf-8") as f: + filepaths_and_text = [line.strip().split(split_char) for line in f] + return filepaths_and_text + + +class TextMelDataModule(LightningDataModule): + def __init__( # pylint: disable=unused-argument + self, + name, + train_filelist_path, + valid_filelist_path, + batch_size, + num_workers, + pin_memory, + cleaners, + add_blank, + n_spks, + n_fft, + n_feats, + sample_rate, + hop_length, + win_length, + f_min, + f_max, + data_statistics, + seed, + ): + super().__init__() + + # this line allows to access init params with 'self.hparams' attribute + # also ensures init params will be stored in ckpt + self.save_hyperparameters(logger=False) + + def setup(self, stage: Optional[str] = None): # pylint: disable=unused-argument + """Load data. Set variables: `self.data_train`, `self.data_val`, `self.data_test`. + + This method is called by lightning with both `trainer.fit()` and `trainer.test()`, so be + careful not to execute things like random split twice! + """ + # load and split datasets only if not loaded already + + self.trainset = TextMelDataset( # pylint: disable=attribute-defined-outside-init + self.hparams.train_filelist_path, + self.hparams.n_spks, + self.hparams.cleaners, + self.hparams.add_blank, + self.hparams.n_fft, + self.hparams.n_feats, + self.hparams.sample_rate, + self.hparams.hop_length, + self.hparams.win_length, + self.hparams.f_min, + self.hparams.f_max, + self.hparams.data_statistics, + self.hparams.seed, + ) + self.validset = TextMelDataset( # pylint: disable=attribute-defined-outside-init + self.hparams.valid_filelist_path, + self.hparams.n_spks, + self.hparams.cleaners, + self.hparams.add_blank, + self.hparams.n_fft, + self.hparams.n_feats, + self.hparams.sample_rate, + self.hparams.hop_length, + self.hparams.win_length, + self.hparams.f_min, + self.hparams.f_max, + self.hparams.data_statistics, + self.hparams.seed, + ) + + def train_dataloader(self): + return DataLoader( + dataset=self.trainset, + batch_size=self.hparams.batch_size, + num_workers=self.hparams.num_workers, + pin_memory=self.hparams.pin_memory, + shuffle=True, + collate_fn=TextMelBatchCollate(self.hparams.n_spks), + ) + + def val_dataloader(self): + return DataLoader( + dataset=self.validset, + batch_size=self.hparams.batch_size, + num_workers=self.hparams.num_workers, + pin_memory=self.hparams.pin_memory, + shuffle=False, + collate_fn=TextMelBatchCollate(self.hparams.n_spks), + ) + + def teardown(self, stage: Optional[str] = None): + """Clean up after fit or test.""" + pass # pylint: disable=unnecessary-pass + + def state_dict(self): # pylint: disable=no-self-use + """Extra things to save to checkpoint.""" + return {} + + def load_state_dict(self, state_dict: Dict[str, Any]): + """Things to do when loading checkpoint.""" + pass # pylint: disable=unnecessary-pass + + +class TextMelDataset(torch.utils.data.Dataset): + def __init__( + self, + filelist_path, + n_spks, + cleaners, + add_blank=True, + n_fft=1024, + n_mels=80, + sample_rate=22050, + hop_length=256, + win_length=1024, + f_min=0.0, + f_max=8000, + data_parameters=None, + seed=None, + ): + self.filepaths_and_text = parse_filelist(filelist_path) + self.n_spks = n_spks + self.cleaners = cleaners + self.add_blank = add_blank + self.n_fft = n_fft + self.n_mels = n_mels + self.sample_rate = sample_rate + self.hop_length = hop_length + self.win_length = win_length + self.f_min = f_min + self.f_max = f_max + if data_parameters is not None: + self.data_parameters = data_parameters + else: + self.data_parameters = {"mel_mean": 0, "mel_std": 1} + random.seed(seed) + random.shuffle(self.filepaths_and_text) + + def get_datapoint(self, filepath_and_text): + if self.n_spks > 1: + filepath, spk, text = ( + filepath_and_text[0], + int(filepath_and_text[1]), + filepath_and_text[2], + ) + else: + filepath, text = filepath_and_text[0], filepath_and_text[1] + spk = None + + text = self.get_text(text, add_blank=self.add_blank) + mel = self.get_mel(filepath) + + return {"x": text, "y": mel, "spk": spk} + + def get_mel(self, filepath): + audio, sr = ta.load(filepath) + assert sr == self.sample_rate + mel = mel_spectrogram( + audio, + self.n_fft, + self.n_mels, + self.sample_rate, + self.hop_length, + self.win_length, + self.f_min, + self.f_max, + center=False, + ).squeeze() + mel = normalize(mel, self.data_parameters["mel_mean"], self.data_parameters["mel_std"]) + return mel + + def get_text(self, text, add_blank=True): + text_norm = text_to_sequence(text, self.cleaners) + if self.add_blank: + text_norm = intersperse(text_norm, 0) + text_norm = torch.IntTensor(text_norm) + return text_norm + + def __getitem__(self, index): + datapoint = self.get_datapoint(self.filepaths_and_text[index]) + return datapoint + + def __len__(self): + return len(self.filepaths_and_text) + + +class TextMelBatchCollate: + def __init__(self, n_spks): + self.n_spks = n_spks + + def __call__(self, batch): + B = len(batch) + y_max_length = max([item["y"].shape[-1] for item in batch]) + y_max_length = fix_len_compatibility(y_max_length) + x_max_length = max([item["x"].shape[-1] for item in batch]) + n_feats = batch[0]["y"].shape[-2] + + y = torch.zeros((B, n_feats, y_max_length), dtype=torch.float32) + x = torch.zeros((B, x_max_length), dtype=torch.long) + y_lengths, x_lengths = [], [] + spks = [] + for i, item in enumerate(batch): + y_, x_ = item["y"], item["x"] + y_lengths.append(y_.shape[-1]) + x_lengths.append(x_.shape[-1]) + y[i, :, : y_.shape[-1]] = y_ + x[i, : x_.shape[-1]] = x_ + spks.append(item["spk"]) + + y_lengths = torch.tensor(y_lengths, dtype=torch.long) + x_lengths = torch.tensor(x_lengths, dtype=torch.long) + spks = torch.tensor(spks, dtype=torch.long) if self.n_spks > 1 else None + + return {"x": x, "x_lengths": x_lengths, "y": y, "y_lengths": y_lengths, "spks": spks} diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/LICENSE b/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..91751daed806f63ac594cf077a3065f719a41662 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2020 Jungil Kong + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/README.md b/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/README.md new file mode 100644 index 0000000000000000000000000000000000000000..5db25850451a794b1db1b15b08e82c1d802edbb3 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/README.md @@ -0,0 +1,101 @@ +# HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis + +### Jungil Kong, Jaehyeon Kim, Jaekyoung Bae + +In our [paper](https://arxiv.org/abs/2010.05646), +we proposed HiFi-GAN: a GAN-based model capable of generating high fidelity speech efficiently.
+We provide our implementation and pretrained models as open source in this repository. + +**Abstract :** +Several recent work on speech synthesis have employed generative adversarial networks (GANs) to produce raw waveforms. +Although such methods improve the sampling efficiency and memory usage, +their sample quality has not yet reached that of autoregressive and flow-based generative models. +In this work, we propose HiFi-GAN, which achieves both efficient and high-fidelity speech synthesis. +As speech audio consists of sinusoidal signals with various periods, +we demonstrate that modeling periodic patterns of an audio is crucial for enhancing sample quality. +A subjective human evaluation (mean opinion score, MOS) of a single speaker dataset indicates that our proposed method +demonstrates similarity to human quality while generating 22.05 kHz high-fidelity audio 167.9 times faster than +real-time on a single V100 GPU. We further show the generality of HiFi-GAN to the mel-spectrogram inversion of unseen +speakers and end-to-end speech synthesis. Finally, a small footprint version of HiFi-GAN generates samples 13.4 times +faster than real-time on CPU with comparable quality to an autoregressive counterpart. + +Visit our [demo website](https://jik876.github.io/hifi-gan-demo/) for audio samples. + +## Pre-requisites + +1. Python >= 3.6 +2. Clone this repository. +3. Install python requirements. Please refer [requirements.txt](requirements.txt) +4. Download and extract the [LJ Speech dataset](https://keithito.com/LJ-Speech-Dataset/). + And move all wav files to `LJSpeech-1.1/wavs` + +## Training + +``` +python train.py --config config_v1.json +``` + +To train V2 or V3 Generator, replace `config_v1.json` with `config_v2.json` or `config_v3.json`.
+Checkpoints and copy of the configuration file are saved in `cp_hifigan` directory by default.
+You can change the path by adding `--checkpoint_path` option. + +Validation loss during training with V1 generator.
+![validation loss](./validation_loss.png) + +## Pretrained Model + +You can also use pretrained models we provide.
+[Download pretrained models](https://drive.google.com/drive/folders/1-eEYTB5Av9jNql0WGBlRoi-WH2J7bp5Y?usp=sharing)
+Details of each folder are as in follows: + +| Folder Name | Generator | Dataset | Fine-Tuned | +| ------------ | --------- | --------- | ------------------------------------------------------ | +| LJ_V1 | V1 | LJSpeech | No | +| LJ_V2 | V2 | LJSpeech | No | +| LJ_V3 | V3 | LJSpeech | No | +| LJ_FT_T2_V1 | V1 | LJSpeech | Yes ([Tacotron2](https://github.com/NVIDIA/tacotron2)) | +| LJ_FT_T2_V2 | V2 | LJSpeech | Yes ([Tacotron2](https://github.com/NVIDIA/tacotron2)) | +| LJ_FT_T2_V3 | V3 | LJSpeech | Yes ([Tacotron2](https://github.com/NVIDIA/tacotron2)) | +| VCTK_V1 | V1 | VCTK | No | +| VCTK_V2 | V2 | VCTK | No | +| VCTK_V3 | V3 | VCTK | No | +| UNIVERSAL_V1 | V1 | Universal | No | + +We provide the universal model with discriminator weights that can be used as a base for transfer learning to other datasets. + +## Fine-Tuning + +1. Generate mel-spectrograms in numpy format using [Tacotron2](https://github.com/NVIDIA/tacotron2) with teacher-forcing.
+ The file name of the generated mel-spectrogram should match the audio file and the extension should be `.npy`.
+ Example: + ` Audio File : LJ001-0001.wav +Mel-Spectrogram File : LJ001-0001.npy` +2. Create `ft_dataset` folder and copy the generated mel-spectrogram files into it.
+3. Run the following command. + ``` + python train.py --fine_tuning True --config config_v1.json + ``` + For other command line options, please refer to the training section. + +## Inference from wav file + +1. Make `test_files` directory and copy wav files into the directory. +2. Run the following command. + ` python inference.py --checkpoint_file [generator checkpoint file path]` + Generated wav files are saved in `generated_files` by default.
+ You can change the path by adding `--output_dir` option. + +## Inference for end-to-end speech synthesis + +1. Make `test_mel_files` directory and copy generated mel-spectrogram files into the directory.
+ You can generate mel-spectrograms using [Tacotron2](https://github.com/NVIDIA/tacotron2), + [Glow-TTS](https://github.com/jaywalnut310/glow-tts) and so forth. +2. Run the following command. + ` python inference_e2e.py --checkpoint_file [generator checkpoint file path]` + Generated wav files are saved in `generated_files_from_mel` by default.
+ You can change the path by adding `--output_dir` option. + +## Acknowledgements + +We referred to [WaveGlow](https://github.com/NVIDIA/waveglow), [MelGAN](https://github.com/descriptinc/melgan-neurips) +and [Tacotron2](https://github.com/NVIDIA/tacotron2) to implement this. diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/__init__.py b/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/config.py b/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/config.py new file mode 100644 index 0000000000000000000000000000000000000000..b3abea9e151a08864353d32066bd4935e24b82e7 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/config.py @@ -0,0 +1,28 @@ +v1 = { + "resblock": "1", + "num_gpus": 0, + "batch_size": 16, + "learning_rate": 0.0004, + "adam_b1": 0.8, + "adam_b2": 0.99, + "lr_decay": 0.999, + "seed": 1234, + "upsample_rates": [8, 8, 2, 2], + "upsample_kernel_sizes": [16, 16, 4, 4], + "upsample_initial_channel": 512, + "resblock_kernel_sizes": [3, 7, 11], + "resblock_dilation_sizes": [[1, 3, 5], [1, 3, 5], [1, 3, 5]], + "resblock_initial_channel": 256, + "segment_size": 8192, + "num_mels": 80, + "num_freq": 1025, + "n_fft": 1024, + "hop_size": 256, + "win_size": 1024, + "sampling_rate": 22050, + "fmin": 0, + "fmax": 8000, + "fmax_loss": None, + "num_workers": 4, + "dist_config": {"dist_backend": "nccl", "dist_url": "tcp://localhost:54321", "world_size": 1}, +} diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/denoiser.py b/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/denoiser.py new file mode 100644 index 0000000000000000000000000000000000000000..9fd33312a09b1940374a0e29a97fe3a1a1dac7d2 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/denoiser.py @@ -0,0 +1,64 @@ +# Code modified from Rafael Valle's implementation https://github.com/NVIDIA/waveglow/blob/5bc2a53e20b3b533362f974cfa1ea0267ae1c2b1/denoiser.py + +"""Waveglow style denoiser can be used to remove the artifacts from the HiFiGAN generated audio.""" +import torch + + +class Denoiser(torch.nn.Module): + """Removes model bias from audio produced with waveglow""" + + def __init__(self, vocoder, filter_length=1024, n_overlap=4, win_length=1024, mode="zeros"): + super().__init__() + self.filter_length = filter_length + self.hop_length = int(filter_length / n_overlap) + self.win_length = win_length + + dtype, device = next(vocoder.parameters()).dtype, next(vocoder.parameters()).device + self.device = device + if mode == "zeros": + mel_input = torch.zeros((1, 80, 88), dtype=dtype, device=device) + elif mode == "normal": + mel_input = torch.randn((1, 80, 88), dtype=dtype, device=device) + else: + raise Exception(f"Mode {mode} if not supported") + + def stft_fn(audio, n_fft, hop_length, win_length, window): + spec = torch.stft( + audio, + n_fft=n_fft, + hop_length=hop_length, + win_length=win_length, + window=window, + return_complex=True, + ) + spec = torch.view_as_real(spec) + return torch.sqrt(spec.pow(2).sum(-1)), torch.atan2(spec[..., -1], spec[..., 0]) + + self.stft = lambda x: stft_fn( + audio=x, + n_fft=self.filter_length, + hop_length=self.hop_length, + win_length=self.win_length, + window=torch.hann_window(self.win_length, device=device), + ) + self.istft = lambda x, y: torch.istft( + torch.complex(x * torch.cos(y), x * torch.sin(y)), + n_fft=self.filter_length, + hop_length=self.hop_length, + win_length=self.win_length, + window=torch.hann_window(self.win_length, device=device), + ) + + with torch.no_grad(): + bias_audio = vocoder(mel_input).float().squeeze(0) + bias_spec, _ = self.stft(bias_audio) + + self.register_buffer("bias_spec", bias_spec[:, :, 0][:, :, None]) + + @torch.inference_mode() + def forward(self, audio, strength=0.0005): + audio_spec, audio_angles = self.stft(audio) + audio_spec_denoised = audio_spec - self.bias_spec.to(audio.device) * strength + audio_spec_denoised = torch.clamp(audio_spec_denoised, 0.0) + audio_denoised = self.istft(audio_spec_denoised, audio_angles) + return audio_denoised diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/env.py b/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/env.py new file mode 100644 index 0000000000000000000000000000000000000000..9ea4f948a3f002921bf9bc24f52cbc1c0b1fc2ec --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/env.py @@ -0,0 +1,17 @@ +""" from https://github.com/jik876/hifi-gan """ + +import os +import shutil + + +class AttrDict(dict): + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + self.__dict__ = self + + +def build_env(config, config_name, path): + t_path = os.path.join(path, config_name) + if config != t_path: + os.makedirs(path, exist_ok=True) + shutil.copyfile(config, os.path.join(path, config_name)) diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/meldataset.py b/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/meldataset.py new file mode 100644 index 0000000000000000000000000000000000000000..8b43ea7965e04a52d5427a485ee911b743057c4a --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/meldataset.py @@ -0,0 +1,217 @@ +""" from https://github.com/jik876/hifi-gan """ + +import math +import os +import random + +import numpy as np +import torch +import torch.utils.data +from librosa.filters import mel as librosa_mel_fn +from librosa.util import normalize +from scipy.io.wavfile import read + +MAX_WAV_VALUE = 32768.0 + + +def load_wav(full_path): + sampling_rate, data = read(full_path) + return data, sampling_rate + + +def dynamic_range_compression(x, C=1, clip_val=1e-5): + return np.log(np.clip(x, a_min=clip_val, a_max=None) * C) + + +def dynamic_range_decompression(x, C=1): + return np.exp(x) / C + + +def dynamic_range_compression_torch(x, C=1, clip_val=1e-5): + return torch.log(torch.clamp(x, min=clip_val) * C) + + +def dynamic_range_decompression_torch(x, C=1): + return torch.exp(x) / C + + +def spectral_normalize_torch(magnitudes): + output = dynamic_range_compression_torch(magnitudes) + return output + + +def spectral_de_normalize_torch(magnitudes): + output = dynamic_range_decompression_torch(magnitudes) + return output + + +mel_basis = {} +hann_window = {} + + +def mel_spectrogram(y, n_fft, num_mels, sampling_rate, hop_size, win_size, fmin, fmax, center=False): + if torch.min(y) < -1.0: + print("min value is ", torch.min(y)) + if torch.max(y) > 1.0: + print("max value is ", torch.max(y)) + + global mel_basis, hann_window # pylint: disable=global-statement + if fmax not in mel_basis: + mel = librosa_mel_fn(sampling_rate, n_fft, num_mels, fmin, fmax) + mel_basis[str(fmax) + "_" + str(y.device)] = torch.from_numpy(mel).float().to(y.device) + hann_window[str(y.device)] = torch.hann_window(win_size).to(y.device) + + y = torch.nn.functional.pad( + y.unsqueeze(1), (int((n_fft - hop_size) / 2), int((n_fft - hop_size) / 2)), mode="reflect" + ) + y = y.squeeze(1) + + spec = torch.view_as_real( + torch.stft( + y, + n_fft, + hop_length=hop_size, + win_length=win_size, + window=hann_window[str(y.device)], + center=center, + pad_mode="reflect", + normalized=False, + onesided=True, + return_complex=True, + ) + ) + + spec = torch.sqrt(spec.pow(2).sum(-1) + (1e-9)) + + spec = torch.matmul(mel_basis[str(fmax) + "_" + str(y.device)], spec) + spec = spectral_normalize_torch(spec) + + return spec + + +def get_dataset_filelist(a): + with open(a.input_training_file, encoding="utf-8") as fi: + training_files = [ + os.path.join(a.input_wavs_dir, x.split("|")[0] + ".wav") for x in fi.read().split("\n") if len(x) > 0 + ] + + with open(a.input_validation_file, encoding="utf-8") as fi: + validation_files = [ + os.path.join(a.input_wavs_dir, x.split("|")[0] + ".wav") for x in fi.read().split("\n") if len(x) > 0 + ] + return training_files, validation_files + + +class MelDataset(torch.utils.data.Dataset): + def __init__( + self, + training_files, + segment_size, + n_fft, + num_mels, + hop_size, + win_size, + sampling_rate, + fmin, + fmax, + split=True, + shuffle=True, + n_cache_reuse=1, + device=None, + fmax_loss=None, + fine_tuning=False, + base_mels_path=None, + ): + self.audio_files = training_files + random.seed(1234) + if shuffle: + random.shuffle(self.audio_files) + self.segment_size = segment_size + self.sampling_rate = sampling_rate + self.split = split + self.n_fft = n_fft + self.num_mels = num_mels + self.hop_size = hop_size + self.win_size = win_size + self.fmin = fmin + self.fmax = fmax + self.fmax_loss = fmax_loss + self.cached_wav = None + self.n_cache_reuse = n_cache_reuse + self._cache_ref_count = 0 + self.device = device + self.fine_tuning = fine_tuning + self.base_mels_path = base_mels_path + + def __getitem__(self, index): + filename = self.audio_files[index] + if self._cache_ref_count == 0: + audio, sampling_rate = load_wav(filename) + audio = audio / MAX_WAV_VALUE + if not self.fine_tuning: + audio = normalize(audio) * 0.95 + self.cached_wav = audio + if sampling_rate != self.sampling_rate: + raise ValueError(f"{sampling_rate} SR doesn't match target {self.sampling_rate} SR") + self._cache_ref_count = self.n_cache_reuse + else: + audio = self.cached_wav + self._cache_ref_count -= 1 + + audio = torch.FloatTensor(audio) + audio = audio.unsqueeze(0) + + if not self.fine_tuning: + if self.split: + if audio.size(1) >= self.segment_size: + max_audio_start = audio.size(1) - self.segment_size + audio_start = random.randint(0, max_audio_start) + audio = audio[:, audio_start : audio_start + self.segment_size] + else: + audio = torch.nn.functional.pad(audio, (0, self.segment_size - audio.size(1)), "constant") + + mel = mel_spectrogram( + audio, + self.n_fft, + self.num_mels, + self.sampling_rate, + self.hop_size, + self.win_size, + self.fmin, + self.fmax, + center=False, + ) + else: + mel = np.load(os.path.join(self.base_mels_path, os.path.splitext(os.path.split(filename)[-1])[0] + ".npy")) + mel = torch.from_numpy(mel) + + if len(mel.shape) < 3: + mel = mel.unsqueeze(0) + + if self.split: + frames_per_seg = math.ceil(self.segment_size / self.hop_size) + + if audio.size(1) >= self.segment_size: + mel_start = random.randint(0, mel.size(2) - frames_per_seg - 1) + mel = mel[:, :, mel_start : mel_start + frames_per_seg] + audio = audio[:, mel_start * self.hop_size : (mel_start + frames_per_seg) * self.hop_size] + else: + mel = torch.nn.functional.pad(mel, (0, frames_per_seg - mel.size(2)), "constant") + audio = torch.nn.functional.pad(audio, (0, self.segment_size - audio.size(1)), "constant") + + mel_loss = mel_spectrogram( + audio, + self.n_fft, + self.num_mels, + self.sampling_rate, + self.hop_size, + self.win_size, + self.fmin, + self.fmax_loss, + center=False, + ) + + return (mel.squeeze(), audio.squeeze(0), filename, mel_loss.squeeze()) + + def __len__(self): + return len(self.audio_files) diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/models.py b/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/models.py new file mode 100644 index 0000000000000000000000000000000000000000..d209d9a4e99ec29e4167a5a2eaa62d72b3eff694 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/models.py @@ -0,0 +1,368 @@ +""" from https://github.com/jik876/hifi-gan """ + +import torch +import torch.nn as nn +import torch.nn.functional as F +from torch.nn import AvgPool1d, Conv1d, Conv2d, ConvTranspose1d +from torch.nn.utils import remove_weight_norm, spectral_norm, weight_norm + +from .xutils import get_padding, init_weights + +LRELU_SLOPE = 0.1 + + +class ResBlock1(torch.nn.Module): + def __init__(self, h, channels, kernel_size=3, dilation=(1, 3, 5)): + super().__init__() + self.h = h + self.convs1 = nn.ModuleList( + [ + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=dilation[0], + padding=get_padding(kernel_size, dilation[0]), + ) + ), + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=dilation[1], + padding=get_padding(kernel_size, dilation[1]), + ) + ), + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=dilation[2], + padding=get_padding(kernel_size, dilation[2]), + ) + ), + ] + ) + self.convs1.apply(init_weights) + + self.convs2 = nn.ModuleList( + [ + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=1, + padding=get_padding(kernel_size, 1), + ) + ), + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=1, + padding=get_padding(kernel_size, 1), + ) + ), + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=1, + padding=get_padding(kernel_size, 1), + ) + ), + ] + ) + self.convs2.apply(init_weights) + + def forward(self, x): + for c1, c2 in zip(self.convs1, self.convs2): + xt = F.leaky_relu(x, LRELU_SLOPE) + xt = c1(xt) + xt = F.leaky_relu(xt, LRELU_SLOPE) + xt = c2(xt) + x = xt + x + return x + + def remove_weight_norm(self): + for l in self.convs1: + remove_weight_norm(l) + for l in self.convs2: + remove_weight_norm(l) + + +class ResBlock2(torch.nn.Module): + def __init__(self, h, channels, kernel_size=3, dilation=(1, 3)): + super().__init__() + self.h = h + self.convs = nn.ModuleList( + [ + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=dilation[0], + padding=get_padding(kernel_size, dilation[0]), + ) + ), + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=dilation[1], + padding=get_padding(kernel_size, dilation[1]), + ) + ), + ] + ) + self.convs.apply(init_weights) + + def forward(self, x): + for c in self.convs: + xt = F.leaky_relu(x, LRELU_SLOPE) + xt = c(xt) + x = xt + x + return x + + def remove_weight_norm(self): + for l in self.convs: + remove_weight_norm(l) + + +class Generator(torch.nn.Module): + def __init__(self, h): + super().__init__() + self.h = h + self.num_kernels = len(h.resblock_kernel_sizes) + self.num_upsamples = len(h.upsample_rates) + self.conv_pre = weight_norm(Conv1d(80, h.upsample_initial_channel, 7, 1, padding=3)) + resblock = ResBlock1 if h.resblock == "1" else ResBlock2 + + self.ups = nn.ModuleList() + for i, (u, k) in enumerate(zip(h.upsample_rates, h.upsample_kernel_sizes)): + self.ups.append( + weight_norm( + ConvTranspose1d( + h.upsample_initial_channel // (2**i), + h.upsample_initial_channel // (2 ** (i + 1)), + k, + u, + padding=(k - u) // 2, + ) + ) + ) + + self.resblocks = nn.ModuleList() + for i in range(len(self.ups)): + ch = h.upsample_initial_channel // (2 ** (i + 1)) + for _, (k, d) in enumerate(zip(h.resblock_kernel_sizes, h.resblock_dilation_sizes)): + self.resblocks.append(resblock(h, ch, k, d)) + + self.conv_post = weight_norm(Conv1d(ch, 1, 7, 1, padding=3)) + self.ups.apply(init_weights) + self.conv_post.apply(init_weights) + + def forward(self, x): + x = self.conv_pre(x) + for i in range(self.num_upsamples): + x = F.leaky_relu(x, LRELU_SLOPE) + x = self.ups[i](x) + xs = None + for j in range(self.num_kernels): + if xs is None: + xs = self.resblocks[i * self.num_kernels + j](x) + else: + xs += self.resblocks[i * self.num_kernels + j](x) + x = xs / self.num_kernels + x = F.leaky_relu(x) + x = self.conv_post(x) + x = torch.tanh(x) + + return x + + def remove_weight_norm(self): + print("Removing weight norm...") + for l in self.ups: + remove_weight_norm(l) + for l in self.resblocks: + l.remove_weight_norm() + remove_weight_norm(self.conv_pre) + remove_weight_norm(self.conv_post) + + +class DiscriminatorP(torch.nn.Module): + def __init__(self, period, kernel_size=5, stride=3, use_spectral_norm=False): + super().__init__() + self.period = period + norm_f = weight_norm if use_spectral_norm is False else spectral_norm + self.convs = nn.ModuleList( + [ + norm_f(Conv2d(1, 32, (kernel_size, 1), (stride, 1), padding=(get_padding(5, 1), 0))), + norm_f(Conv2d(32, 128, (kernel_size, 1), (stride, 1), padding=(get_padding(5, 1), 0))), + norm_f(Conv2d(128, 512, (kernel_size, 1), (stride, 1), padding=(get_padding(5, 1), 0))), + norm_f(Conv2d(512, 1024, (kernel_size, 1), (stride, 1), padding=(get_padding(5, 1), 0))), + norm_f(Conv2d(1024, 1024, (kernel_size, 1), 1, padding=(2, 0))), + ] + ) + self.conv_post = norm_f(Conv2d(1024, 1, (3, 1), 1, padding=(1, 0))) + + def forward(self, x): + fmap = [] + + # 1d to 2d + b, c, t = x.shape + if t % self.period != 0: # pad first + n_pad = self.period - (t % self.period) + x = F.pad(x, (0, n_pad), "reflect") + t = t + n_pad + x = x.view(b, c, t // self.period, self.period) + + for l in self.convs: + x = l(x) + x = F.leaky_relu(x, LRELU_SLOPE) + fmap.append(x) + x = self.conv_post(x) + fmap.append(x) + x = torch.flatten(x, 1, -1) + + return x, fmap + + +class MultiPeriodDiscriminator(torch.nn.Module): + def __init__(self): + super().__init__() + self.discriminators = nn.ModuleList( + [ + DiscriminatorP(2), + DiscriminatorP(3), + DiscriminatorP(5), + DiscriminatorP(7), + DiscriminatorP(11), + ] + ) + + def forward(self, y, y_hat): + y_d_rs = [] + y_d_gs = [] + fmap_rs = [] + fmap_gs = [] + for _, d in enumerate(self.discriminators): + y_d_r, fmap_r = d(y) + y_d_g, fmap_g = d(y_hat) + y_d_rs.append(y_d_r) + fmap_rs.append(fmap_r) + y_d_gs.append(y_d_g) + fmap_gs.append(fmap_g) + + return y_d_rs, y_d_gs, fmap_rs, fmap_gs + + +class DiscriminatorS(torch.nn.Module): + def __init__(self, use_spectral_norm=False): + super().__init__() + norm_f = weight_norm if use_spectral_norm is False else spectral_norm + self.convs = nn.ModuleList( + [ + norm_f(Conv1d(1, 128, 15, 1, padding=7)), + norm_f(Conv1d(128, 128, 41, 2, groups=4, padding=20)), + norm_f(Conv1d(128, 256, 41, 2, groups=16, padding=20)), + norm_f(Conv1d(256, 512, 41, 4, groups=16, padding=20)), + norm_f(Conv1d(512, 1024, 41, 4, groups=16, padding=20)), + norm_f(Conv1d(1024, 1024, 41, 1, groups=16, padding=20)), + norm_f(Conv1d(1024, 1024, 5, 1, padding=2)), + ] + ) + self.conv_post = norm_f(Conv1d(1024, 1, 3, 1, padding=1)) + + def forward(self, x): + fmap = [] + for l in self.convs: + x = l(x) + x = F.leaky_relu(x, LRELU_SLOPE) + fmap.append(x) + x = self.conv_post(x) + fmap.append(x) + x = torch.flatten(x, 1, -1) + + return x, fmap + + +class MultiScaleDiscriminator(torch.nn.Module): + def __init__(self): + super().__init__() + self.discriminators = nn.ModuleList( + [ + DiscriminatorS(use_spectral_norm=True), + DiscriminatorS(), + DiscriminatorS(), + ] + ) + self.meanpools = nn.ModuleList([AvgPool1d(4, 2, padding=2), AvgPool1d(4, 2, padding=2)]) + + def forward(self, y, y_hat): + y_d_rs = [] + y_d_gs = [] + fmap_rs = [] + fmap_gs = [] + for i, d in enumerate(self.discriminators): + if i != 0: + y = self.meanpools[i - 1](y) + y_hat = self.meanpools[i - 1](y_hat) + y_d_r, fmap_r = d(y) + y_d_g, fmap_g = d(y_hat) + y_d_rs.append(y_d_r) + fmap_rs.append(fmap_r) + y_d_gs.append(y_d_g) + fmap_gs.append(fmap_g) + + return y_d_rs, y_d_gs, fmap_rs, fmap_gs + + +def feature_loss(fmap_r, fmap_g): + loss = 0 + for dr, dg in zip(fmap_r, fmap_g): + for rl, gl in zip(dr, dg): + loss += torch.mean(torch.abs(rl - gl)) + + return loss * 2 + + +def discriminator_loss(disc_real_outputs, disc_generated_outputs): + loss = 0 + r_losses = [] + g_losses = [] + for dr, dg in zip(disc_real_outputs, disc_generated_outputs): + r_loss = torch.mean((1 - dr) ** 2) + g_loss = torch.mean(dg**2) + loss += r_loss + g_loss + r_losses.append(r_loss.item()) + g_losses.append(g_loss.item()) + + return loss, r_losses, g_losses + + +def generator_loss(disc_outputs): + loss = 0 + gen_losses = [] + for dg in disc_outputs: + l = torch.mean((1 - dg) ** 2) + gen_losses.append(l) + loss += l + + return loss, gen_losses diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/xutils.py b/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/xutils.py new file mode 100644 index 0000000000000000000000000000000000000000..eefadcb7a1d0bf9015e636b88fee3e22c9771bc5 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/hifigan/xutils.py @@ -0,0 +1,60 @@ +""" from https://github.com/jik876/hifi-gan """ + +import glob +import os + +import matplotlib +import torch +from torch.nn.utils import weight_norm + +matplotlib.use("Agg") +import matplotlib.pylab as plt + + +def plot_spectrogram(spectrogram): + fig, ax = plt.subplots(figsize=(10, 2)) + im = ax.imshow(spectrogram, aspect="auto", origin="lower", interpolation="none") + plt.colorbar(im, ax=ax) + + fig.canvas.draw() + plt.close() + + return fig + + +def init_weights(m, mean=0.0, std=0.01): + classname = m.__class__.__name__ + if classname.find("Conv") != -1: + m.weight.data.normal_(mean, std) + + +def apply_weight_norm(m): + classname = m.__class__.__name__ + if classname.find("Conv") != -1: + weight_norm(m) + + +def get_padding(kernel_size, dilation=1): + return int((kernel_size * dilation - dilation) / 2) + + +def load_checkpoint(filepath, device): + assert os.path.isfile(filepath) + print(f"Loading '{filepath}'") + checkpoint_dict = torch.load(filepath, map_location=device) + print("Complete.") + return checkpoint_dict + + +def save_checkpoint(filepath, obj): + print(f"Saving checkpoint to {filepath}") + torch.save(obj, filepath) + print("Complete.") + + +def scan_checkpoint(cp_dir, prefix): + pattern = os.path.join(cp_dir, prefix + "????????") + cp_list = glob.glob(pattern) + if len(cp_list) == 0: + return None + return sorted(cp_list)[-1] diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/models/__init__.py b/CosyVoice/third_party/Matcha-TTS/matcha/models/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/models/baselightningmodule.py b/CosyVoice/third_party/Matcha-TTS/matcha/models/baselightningmodule.py new file mode 100644 index 0000000000000000000000000000000000000000..3724888090e36b5f55445d33a87fcdae687b35a5 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/models/baselightningmodule.py @@ -0,0 +1,209 @@ +""" +This is a base lightning module that can be used to train a model. +The benefit of this abstraction is that all the logic outside of model definition can be reused for different models. +""" +import inspect +from abc import ABC +from typing import Any, Dict + +import torch +from lightning import LightningModule +from lightning.pytorch.utilities import grad_norm + +from matcha import utils +from matcha.utils.utils import plot_tensor + +log = utils.get_pylogger(__name__) + + +class BaseLightningClass(LightningModule, ABC): + def update_data_statistics(self, data_statistics): + if data_statistics is None: + data_statistics = { + "mel_mean": 0.0, + "mel_std": 1.0, + } + + self.register_buffer("mel_mean", torch.tensor(data_statistics["mel_mean"])) + self.register_buffer("mel_std", torch.tensor(data_statistics["mel_std"])) + + def configure_optimizers(self) -> Any: + optimizer = self.hparams.optimizer(params=self.parameters()) + if self.hparams.scheduler not in (None, {}): + scheduler_args = {} + # Manage last epoch for exponential schedulers + if "last_epoch" in inspect.signature(self.hparams.scheduler.scheduler).parameters: + if hasattr(self, "ckpt_loaded_epoch"): + current_epoch = self.ckpt_loaded_epoch - 1 + else: + current_epoch = -1 + + scheduler_args.update({"optimizer": optimizer}) + scheduler = self.hparams.scheduler.scheduler(**scheduler_args) + scheduler.last_epoch = current_epoch + return { + "optimizer": optimizer, + "lr_scheduler": { + "scheduler": scheduler, + "interval": self.hparams.scheduler.lightning_args.interval, + "frequency": self.hparams.scheduler.lightning_args.frequency, + "name": "learning_rate", + }, + } + + return {"optimizer": optimizer} + + def get_losses(self, batch): + x, x_lengths = batch["x"], batch["x_lengths"] + y, y_lengths = batch["y"], batch["y_lengths"] + spks = batch["spks"] + + dur_loss, prior_loss, diff_loss = self( + x=x, + x_lengths=x_lengths, + y=y, + y_lengths=y_lengths, + spks=spks, + out_size=self.out_size, + ) + return { + "dur_loss": dur_loss, + "prior_loss": prior_loss, + "diff_loss": diff_loss, + } + + def on_load_checkpoint(self, checkpoint: Dict[str, Any]) -> None: + self.ckpt_loaded_epoch = checkpoint["epoch"] # pylint: disable=attribute-defined-outside-init + + def training_step(self, batch: Any, batch_idx: int): + loss_dict = self.get_losses(batch) + self.log( + "step", + float(self.global_step), + on_step=True, + prog_bar=True, + logger=True, + sync_dist=True, + ) + + self.log( + "sub_loss/train_dur_loss", + loss_dict["dur_loss"], + on_step=True, + on_epoch=True, + logger=True, + sync_dist=True, + ) + self.log( + "sub_loss/train_prior_loss", + loss_dict["prior_loss"], + on_step=True, + on_epoch=True, + logger=True, + sync_dist=True, + ) + self.log( + "sub_loss/train_diff_loss", + loss_dict["diff_loss"], + on_step=True, + on_epoch=True, + logger=True, + sync_dist=True, + ) + + total_loss = sum(loss_dict.values()) + self.log( + "loss/train", + total_loss, + on_step=True, + on_epoch=True, + logger=True, + prog_bar=True, + sync_dist=True, + ) + + return {"loss": total_loss, "log": loss_dict} + + def validation_step(self, batch: Any, batch_idx: int): + loss_dict = self.get_losses(batch) + self.log( + "sub_loss/val_dur_loss", + loss_dict["dur_loss"], + on_step=True, + on_epoch=True, + logger=True, + sync_dist=True, + ) + self.log( + "sub_loss/val_prior_loss", + loss_dict["prior_loss"], + on_step=True, + on_epoch=True, + logger=True, + sync_dist=True, + ) + self.log( + "sub_loss/val_diff_loss", + loss_dict["diff_loss"], + on_step=True, + on_epoch=True, + logger=True, + sync_dist=True, + ) + + total_loss = sum(loss_dict.values()) + self.log( + "loss/val", + total_loss, + on_step=True, + on_epoch=True, + logger=True, + prog_bar=True, + sync_dist=True, + ) + + return total_loss + + def on_validation_end(self) -> None: + if self.trainer.is_global_zero: + one_batch = next(iter(self.trainer.val_dataloaders)) + if self.current_epoch == 0: + log.debug("Plotting original samples") + for i in range(2): + y = one_batch["y"][i].unsqueeze(0).to(self.device) + self.logger.experiment.add_image( + f"original/{i}", + plot_tensor(y.squeeze().cpu()), + self.current_epoch, + dataformats="HWC", + ) + + log.debug("Synthesising...") + for i in range(2): + x = one_batch["x"][i].unsqueeze(0).to(self.device) + x_lengths = one_batch["x_lengths"][i].unsqueeze(0).to(self.device) + spks = one_batch["spks"][i].unsqueeze(0).to(self.device) if one_batch["spks"] is not None else None + output = self.synthesise(x[:, :x_lengths], x_lengths, n_timesteps=10, spks=spks) + y_enc, y_dec = output["encoder_outputs"], output["decoder_outputs"] + attn = output["attn"] + self.logger.experiment.add_image( + f"generated_enc/{i}", + plot_tensor(y_enc.squeeze().cpu()), + self.current_epoch, + dataformats="HWC", + ) + self.logger.experiment.add_image( + f"generated_dec/{i}", + plot_tensor(y_dec.squeeze().cpu()), + self.current_epoch, + dataformats="HWC", + ) + self.logger.experiment.add_image( + f"alignment/{i}", + plot_tensor(attn.squeeze().cpu()), + self.current_epoch, + dataformats="HWC", + ) + + def on_before_optimizer_step(self, optimizer): + self.log_dict({f"grad_norm/{k}": v for k, v in grad_norm(self, norm_type=2).items()}) diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/models/components/__init__.py b/CosyVoice/third_party/Matcha-TTS/matcha/models/components/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/models/components/decoder.py b/CosyVoice/third_party/Matcha-TTS/matcha/models/components/decoder.py new file mode 100644 index 0000000000000000000000000000000000000000..1137cd7008e9d07b4f306926a82e44c2b2cddbdf --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/models/components/decoder.py @@ -0,0 +1,443 @@ +import math +from typing import Optional + +import torch +import torch.nn as nn +import torch.nn.functional as F +from conformer import ConformerBlock +from diffusers.models.activations import get_activation +from einops import pack, rearrange, repeat + +from matcha.models.components.transformer import BasicTransformerBlock + + +class SinusoidalPosEmb(torch.nn.Module): + def __init__(self, dim): + super().__init__() + self.dim = dim + assert self.dim % 2 == 0, "SinusoidalPosEmb requires dim to be even" + + def forward(self, x, scale=1000): + if x.ndim < 1: + x = x.unsqueeze(0) + device = x.device + half_dim = self.dim // 2 + emb = math.log(10000) / (half_dim - 1) + emb = torch.exp(torch.arange(half_dim, device=device).float() * -emb) + emb = scale * x.unsqueeze(1) * emb.unsqueeze(0) + emb = torch.cat((emb.sin(), emb.cos()), dim=-1) + return emb + + +class Block1D(torch.nn.Module): + def __init__(self, dim, dim_out, groups=8): + super().__init__() + self.block = torch.nn.Sequential( + torch.nn.Conv1d(dim, dim_out, 3, padding=1), + torch.nn.GroupNorm(groups, dim_out), + nn.Mish(), + ) + + def forward(self, x, mask): + output = self.block(x * mask) + return output * mask + + +class ResnetBlock1D(torch.nn.Module): + def __init__(self, dim, dim_out, time_emb_dim, groups=8): + super().__init__() + self.mlp = torch.nn.Sequential(nn.Mish(), torch.nn.Linear(time_emb_dim, dim_out)) + + self.block1 = Block1D(dim, dim_out, groups=groups) + self.block2 = Block1D(dim_out, dim_out, groups=groups) + + self.res_conv = torch.nn.Conv1d(dim, dim_out, 1) + + def forward(self, x, mask, time_emb): + h = self.block1(x, mask) + h += self.mlp(time_emb).unsqueeze(-1) + h = self.block2(h, mask) + output = h + self.res_conv(x * mask) + return output + + +class Downsample1D(nn.Module): + def __init__(self, dim): + super().__init__() + self.conv = torch.nn.Conv1d(dim, dim, 3, 2, 1) + + def forward(self, x): + return self.conv(x) + + +class TimestepEmbedding(nn.Module): + def __init__( + self, + in_channels: int, + time_embed_dim: int, + act_fn: str = "silu", + out_dim: int = None, + post_act_fn: Optional[str] = None, + cond_proj_dim=None, + ): + super().__init__() + + self.linear_1 = nn.Linear(in_channels, time_embed_dim) + + if cond_proj_dim is not None: + self.cond_proj = nn.Linear(cond_proj_dim, in_channels, bias=False) + else: + self.cond_proj = None + + self.act = get_activation(act_fn) + + if out_dim is not None: + time_embed_dim_out = out_dim + else: + time_embed_dim_out = time_embed_dim + self.linear_2 = nn.Linear(time_embed_dim, time_embed_dim_out) + + if post_act_fn is None: + self.post_act = None + else: + self.post_act = get_activation(post_act_fn) + + def forward(self, sample, condition=None): + if condition is not None: + sample = sample + self.cond_proj(condition) + sample = self.linear_1(sample) + + if self.act is not None: + sample = self.act(sample) + + sample = self.linear_2(sample) + + if self.post_act is not None: + sample = self.post_act(sample) + return sample + + +class Upsample1D(nn.Module): + """A 1D upsampling layer with an optional convolution. + + Parameters: + channels (`int`): + number of channels in the inputs and outputs. + use_conv (`bool`, default `False`): + option to use a convolution. + use_conv_transpose (`bool`, default `False`): + option to use a convolution transpose. + out_channels (`int`, optional): + number of output channels. Defaults to `channels`. + """ + + def __init__(self, channels, use_conv=False, use_conv_transpose=True, out_channels=None, name="conv"): + super().__init__() + self.channels = channels + self.out_channels = out_channels or channels + self.use_conv = use_conv + self.use_conv_transpose = use_conv_transpose + self.name = name + + self.conv = None + if use_conv_transpose: + self.conv = nn.ConvTranspose1d(channels, self.out_channels, 4, 2, 1) + elif use_conv: + self.conv = nn.Conv1d(self.channels, self.out_channels, 3, padding=1) + + def forward(self, inputs): + assert inputs.shape[1] == self.channels + if self.use_conv_transpose: + return self.conv(inputs) + + outputs = F.interpolate(inputs, scale_factor=2.0, mode="nearest") + + if self.use_conv: + outputs = self.conv(outputs) + + return outputs + + +class ConformerWrapper(ConformerBlock): + def __init__( # pylint: disable=useless-super-delegation + self, + *, + dim, + dim_head=64, + heads=8, + ff_mult=4, + conv_expansion_factor=2, + conv_kernel_size=31, + attn_dropout=0, + ff_dropout=0, + conv_dropout=0, + conv_causal=False, + ): + super().__init__( + dim=dim, + dim_head=dim_head, + heads=heads, + ff_mult=ff_mult, + conv_expansion_factor=conv_expansion_factor, + conv_kernel_size=conv_kernel_size, + attn_dropout=attn_dropout, + ff_dropout=ff_dropout, + conv_dropout=conv_dropout, + conv_causal=conv_causal, + ) + + def forward( + self, + hidden_states, + attention_mask, + encoder_hidden_states=None, + encoder_attention_mask=None, + timestep=None, + ): + return super().forward(x=hidden_states, mask=attention_mask.bool()) + + +class Decoder(nn.Module): + def __init__( + self, + in_channels, + out_channels, + channels=(256, 256), + dropout=0.05, + attention_head_dim=64, + n_blocks=1, + num_mid_blocks=2, + num_heads=4, + act_fn="snake", + down_block_type="transformer", + mid_block_type="transformer", + up_block_type="transformer", + ): + super().__init__() + channels = tuple(channels) + self.in_channels = in_channels + self.out_channels = out_channels + + self.time_embeddings = SinusoidalPosEmb(in_channels) + time_embed_dim = channels[0] * 4 + self.time_mlp = TimestepEmbedding( + in_channels=in_channels, + time_embed_dim=time_embed_dim, + act_fn="silu", + ) + + self.down_blocks = nn.ModuleList([]) + self.mid_blocks = nn.ModuleList([]) + self.up_blocks = nn.ModuleList([]) + + output_channel = in_channels + for i in range(len(channels)): # pylint: disable=consider-using-enumerate + input_channel = output_channel + output_channel = channels[i] + is_last = i == len(channels) - 1 + resnet = ResnetBlock1D(dim=input_channel, dim_out=output_channel, time_emb_dim=time_embed_dim) + transformer_blocks = nn.ModuleList( + [ + self.get_block( + down_block_type, + output_channel, + attention_head_dim, + num_heads, + dropout, + act_fn, + ) + for _ in range(n_blocks) + ] + ) + downsample = ( + Downsample1D(output_channel) if not is_last else nn.Conv1d(output_channel, output_channel, 3, padding=1) + ) + + self.down_blocks.append(nn.ModuleList([resnet, transformer_blocks, downsample])) + + for i in range(num_mid_blocks): + input_channel = channels[-1] + out_channels = channels[-1] + + resnet = ResnetBlock1D(dim=input_channel, dim_out=output_channel, time_emb_dim=time_embed_dim) + + transformer_blocks = nn.ModuleList( + [ + self.get_block( + mid_block_type, + output_channel, + attention_head_dim, + num_heads, + dropout, + act_fn, + ) + for _ in range(n_blocks) + ] + ) + + self.mid_blocks.append(nn.ModuleList([resnet, transformer_blocks])) + + channels = channels[::-1] + (channels[0],) + for i in range(len(channels) - 1): + input_channel = channels[i] + output_channel = channels[i + 1] + is_last = i == len(channels) - 2 + + resnet = ResnetBlock1D( + dim=2 * input_channel, + dim_out=output_channel, + time_emb_dim=time_embed_dim, + ) + transformer_blocks = nn.ModuleList( + [ + self.get_block( + up_block_type, + output_channel, + attention_head_dim, + num_heads, + dropout, + act_fn, + ) + for _ in range(n_blocks) + ] + ) + upsample = ( + Upsample1D(output_channel, use_conv_transpose=True) + if not is_last + else nn.Conv1d(output_channel, output_channel, 3, padding=1) + ) + + self.up_blocks.append(nn.ModuleList([resnet, transformer_blocks, upsample])) + + self.final_block = Block1D(channels[-1], channels[-1]) + self.final_proj = nn.Conv1d(channels[-1], self.out_channels, 1) + + self.initialize_weights() + # nn.init.normal_(self.final_proj.weight) + + @staticmethod + def get_block(block_type, dim, attention_head_dim, num_heads, dropout, act_fn): + if block_type == "conformer": + block = ConformerWrapper( + dim=dim, + dim_head=attention_head_dim, + heads=num_heads, + ff_mult=1, + conv_expansion_factor=2, + ff_dropout=dropout, + attn_dropout=dropout, + conv_dropout=dropout, + conv_kernel_size=31, + ) + elif block_type == "transformer": + block = BasicTransformerBlock( + dim=dim, + num_attention_heads=num_heads, + attention_head_dim=attention_head_dim, + dropout=dropout, + activation_fn=act_fn, + ) + else: + raise ValueError(f"Unknown block type {block_type}") + + return block + + def initialize_weights(self): + for m in self.modules(): + if isinstance(m, nn.Conv1d): + nn.init.kaiming_normal_(m.weight, nonlinearity="relu") + + if m.bias is not None: + nn.init.constant_(m.bias, 0) + + elif isinstance(m, nn.GroupNorm): + nn.init.constant_(m.weight, 1) + nn.init.constant_(m.bias, 0) + + elif isinstance(m, nn.Linear): + nn.init.kaiming_normal_(m.weight, nonlinearity="relu") + + if m.bias is not None: + nn.init.constant_(m.bias, 0) + + def forward(self, x, mask, mu, t, spks=None, cond=None): + """Forward pass of the UNet1DConditional model. + + Args: + x (torch.Tensor): shape (batch_size, in_channels, time) + mask (_type_): shape (batch_size, 1, time) + t (_type_): shape (batch_size) + spks (_type_, optional): shape: (batch_size, condition_channels). Defaults to None. + cond (_type_, optional): placeholder for future use. Defaults to None. + + Raises: + ValueError: _description_ + ValueError: _description_ + + Returns: + _type_: _description_ + """ + + t = self.time_embeddings(t) + t = self.time_mlp(t) + + x = pack([x, mu], "b * t")[0] + + if spks is not None: + spks = repeat(spks, "b c -> b c t", t=x.shape[-1]) + x = pack([x, spks], "b * t")[0] + + hiddens = [] + masks = [mask] + for resnet, transformer_blocks, downsample in self.down_blocks: + mask_down = masks[-1] + x = resnet(x, mask_down, t) + x = rearrange(x, "b c t -> b t c") + mask_down = rearrange(mask_down, "b 1 t -> b t") + for transformer_block in transformer_blocks: + x = transformer_block( + hidden_states=x, + attention_mask=mask_down, + timestep=t, + ) + x = rearrange(x, "b t c -> b c t") + mask_down = rearrange(mask_down, "b t -> b 1 t") + hiddens.append(x) # Save hidden states for skip connections + x = downsample(x * mask_down) + masks.append(mask_down[:, :, ::2]) + + masks = masks[:-1] + mask_mid = masks[-1] + + for resnet, transformer_blocks in self.mid_blocks: + x = resnet(x, mask_mid, t) + x = rearrange(x, "b c t -> b t c") + mask_mid = rearrange(mask_mid, "b 1 t -> b t") + for transformer_block in transformer_blocks: + x = transformer_block( + hidden_states=x, + attention_mask=mask_mid, + timestep=t, + ) + x = rearrange(x, "b t c -> b c t") + mask_mid = rearrange(mask_mid, "b t -> b 1 t") + + for resnet, transformer_blocks, upsample in self.up_blocks: + mask_up = masks.pop() + x = resnet(pack([x, hiddens.pop()], "b * t")[0], mask_up, t) + x = rearrange(x, "b c t -> b t c") + mask_up = rearrange(mask_up, "b 1 t -> b t") + for transformer_block in transformer_blocks: + x = transformer_block( + hidden_states=x, + attention_mask=mask_up, + timestep=t, + ) + x = rearrange(x, "b t c -> b c t") + mask_up = rearrange(mask_up, "b t -> b 1 t") + x = upsample(x * mask_up) + + x = self.final_block(x, mask_up) + output = self.final_proj(x * mask_up) + + return output * mask diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/models/components/flow_matching.py b/CosyVoice/third_party/Matcha-TTS/matcha/models/components/flow_matching.py new file mode 100644 index 0000000000000000000000000000000000000000..5cad7431ef66a8d11da32a77c1af7f6e31d6b774 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/models/components/flow_matching.py @@ -0,0 +1,132 @@ +from abc import ABC + +import torch +import torch.nn.functional as F + +from matcha.models.components.decoder import Decoder +from matcha.utils.pylogger import get_pylogger + +log = get_pylogger(__name__) + + +class BASECFM(torch.nn.Module, ABC): + def __init__( + self, + n_feats, + cfm_params, + n_spks=1, + spk_emb_dim=128, + ): + super().__init__() + self.n_feats = n_feats + self.n_spks = n_spks + self.spk_emb_dim = spk_emb_dim + self.solver = cfm_params.solver + if hasattr(cfm_params, "sigma_min"): + self.sigma_min = cfm_params.sigma_min + else: + self.sigma_min = 1e-4 + + self.estimator = None + + @torch.inference_mode() + def forward(self, mu, mask, n_timesteps, temperature=1.0, spks=None, cond=None): + """Forward diffusion + + Args: + mu (torch.Tensor): output of encoder + shape: (batch_size, n_feats, mel_timesteps) + mask (torch.Tensor): output_mask + shape: (batch_size, 1, mel_timesteps) + n_timesteps (int): number of diffusion steps + temperature (float, optional): temperature for scaling noise. Defaults to 1.0. + spks (torch.Tensor, optional): speaker ids. Defaults to None. + shape: (batch_size, spk_emb_dim) + cond: Not used but kept for future purposes + + Returns: + sample: generated mel-spectrogram + shape: (batch_size, n_feats, mel_timesteps) + """ + z = torch.randn_like(mu) * temperature + t_span = torch.linspace(0, 1, n_timesteps + 1, device=mu.device) + return self.solve_euler(z, t_span=t_span, mu=mu, mask=mask, spks=spks, cond=cond) + + def solve_euler(self, x, t_span, mu, mask, spks, cond): + """ + Fixed euler solver for ODEs. + Args: + x (torch.Tensor): random noise + t_span (torch.Tensor): n_timesteps interpolated + shape: (n_timesteps + 1,) + mu (torch.Tensor): output of encoder + shape: (batch_size, n_feats, mel_timesteps) + mask (torch.Tensor): output_mask + shape: (batch_size, 1, mel_timesteps) + spks (torch.Tensor, optional): speaker ids. Defaults to None. + shape: (batch_size, spk_emb_dim) + cond: Not used but kept for future purposes + """ + t, _, dt = t_span[0], t_span[-1], t_span[1] - t_span[0] + + # I am storing this because I can later plot it by putting a debugger here and saving it to a file + # Or in future might add like a return_all_steps flag + sol = [] + + for step in range(1, len(t_span)): + dphi_dt = self.estimator(x, mask, mu, t, spks, cond) + + x = x + dt * dphi_dt + t = t + dt + sol.append(x) + if step < len(t_span) - 1: + dt = t_span[step + 1] - t + + return sol[-1] + + def compute_loss(self, x1, mask, mu, spks=None, cond=None): + """Computes diffusion loss + + Args: + x1 (torch.Tensor): Target + shape: (batch_size, n_feats, mel_timesteps) + mask (torch.Tensor): target mask + shape: (batch_size, 1, mel_timesteps) + mu (torch.Tensor): output of encoder + shape: (batch_size, n_feats, mel_timesteps) + spks (torch.Tensor, optional): speaker embedding. Defaults to None. + shape: (batch_size, spk_emb_dim) + + Returns: + loss: conditional flow matching loss + y: conditional flow + shape: (batch_size, n_feats, mel_timesteps) + """ + b, _, t = mu.shape + + # random timestep + t = torch.rand([b, 1, 1], device=mu.device, dtype=mu.dtype) + # sample noise p(x_0) + z = torch.randn_like(x1) + + y = (1 - (1 - self.sigma_min) * t) * z + t * x1 + u = x1 - (1 - self.sigma_min) * z + + loss = F.mse_loss(self.estimator(y, mask, mu, t.squeeze(), spks), u, reduction="sum") / ( + torch.sum(mask) * u.shape[1] + ) + return loss, y + + +class CFM(BASECFM): + def __init__(self, in_channels, out_channel, cfm_params, decoder_params, n_spks=1, spk_emb_dim=64): + super().__init__( + n_feats=in_channels, + cfm_params=cfm_params, + n_spks=n_spks, + spk_emb_dim=spk_emb_dim, + ) + + in_channels = in_channels + (spk_emb_dim if n_spks > 1 else 0) + # Just change the architecture of the estimator here + self.estimator = Decoder(in_channels=in_channels, out_channels=out_channel, **decoder_params) diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/models/components/text_encoder.py b/CosyVoice/third_party/Matcha-TTS/matcha/models/components/text_encoder.py new file mode 100644 index 0000000000000000000000000000000000000000..a388d05d6351fa2c9d9632fed0942d51fbec067b --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/models/components/text_encoder.py @@ -0,0 +1,410 @@ +""" from https://github.com/jaywalnut310/glow-tts """ + +import math + +import torch +import torch.nn as nn +from einops import rearrange + +import matcha.utils as utils +from matcha.utils.model import sequence_mask + +log = utils.get_pylogger(__name__) + + +class LayerNorm(nn.Module): + def __init__(self, channels, eps=1e-4): + super().__init__() + self.channels = channels + self.eps = eps + + self.gamma = torch.nn.Parameter(torch.ones(channels)) + self.beta = torch.nn.Parameter(torch.zeros(channels)) + + def forward(self, x): + n_dims = len(x.shape) + mean = torch.mean(x, 1, keepdim=True) + variance = torch.mean((x - mean) ** 2, 1, keepdim=True) + + x = (x - mean) * torch.rsqrt(variance + self.eps) + + shape = [1, -1] + [1] * (n_dims - 2) + x = x * self.gamma.view(*shape) + self.beta.view(*shape) + return x + + +class ConvReluNorm(nn.Module): + def __init__(self, in_channels, hidden_channels, out_channels, kernel_size, n_layers, p_dropout): + super().__init__() + self.in_channels = in_channels + self.hidden_channels = hidden_channels + self.out_channels = out_channels + self.kernel_size = kernel_size + self.n_layers = n_layers + self.p_dropout = p_dropout + + self.conv_layers = torch.nn.ModuleList() + self.norm_layers = torch.nn.ModuleList() + self.conv_layers.append(torch.nn.Conv1d(in_channels, hidden_channels, kernel_size, padding=kernel_size // 2)) + self.norm_layers.append(LayerNorm(hidden_channels)) + self.relu_drop = torch.nn.Sequential(torch.nn.ReLU(), torch.nn.Dropout(p_dropout)) + for _ in range(n_layers - 1): + self.conv_layers.append( + torch.nn.Conv1d(hidden_channels, hidden_channels, kernel_size, padding=kernel_size // 2) + ) + self.norm_layers.append(LayerNorm(hidden_channels)) + self.proj = torch.nn.Conv1d(hidden_channels, out_channels, 1) + self.proj.weight.data.zero_() + self.proj.bias.data.zero_() + + def forward(self, x, x_mask): + x_org = x + for i in range(self.n_layers): + x = self.conv_layers[i](x * x_mask) + x = self.norm_layers[i](x) + x = self.relu_drop(x) + x = x_org + self.proj(x) + return x * x_mask + + +class DurationPredictor(nn.Module): + def __init__(self, in_channels, filter_channels, kernel_size, p_dropout): + super().__init__() + self.in_channels = in_channels + self.filter_channels = filter_channels + self.p_dropout = p_dropout + + self.drop = torch.nn.Dropout(p_dropout) + self.conv_1 = torch.nn.Conv1d(in_channels, filter_channels, kernel_size, padding=kernel_size // 2) + self.norm_1 = LayerNorm(filter_channels) + self.conv_2 = torch.nn.Conv1d(filter_channels, filter_channels, kernel_size, padding=kernel_size // 2) + self.norm_2 = LayerNorm(filter_channels) + self.proj = torch.nn.Conv1d(filter_channels, 1, 1) + + def forward(self, x, x_mask): + x = self.conv_1(x * x_mask) + x = torch.relu(x) + x = self.norm_1(x) + x = self.drop(x) + x = self.conv_2(x * x_mask) + x = torch.relu(x) + x = self.norm_2(x) + x = self.drop(x) + x = self.proj(x * x_mask) + return x * x_mask + + +class RotaryPositionalEmbeddings(nn.Module): + """ + ## RoPE module + + Rotary encoding transforms pairs of features by rotating in the 2D plane. + That is, it organizes the $d$ features as $\frac{d}{2}$ pairs. + Each pair can be considered a coordinate in a 2D plane, and the encoding will rotate it + by an angle depending on the position of the token. + """ + + def __init__(self, d: int, base: int = 10_000): + r""" + * `d` is the number of features $d$ + * `base` is the constant used for calculating $\Theta$ + """ + super().__init__() + + self.base = base + self.d = int(d) + self.cos_cached = None + self.sin_cached = None + + def _build_cache(self, x: torch.Tensor): + r""" + Cache $\cos$ and $\sin$ values + """ + # Return if cache is already built + if self.cos_cached is not None and x.shape[0] <= self.cos_cached.shape[0]: + return + + # Get sequence length + seq_len = x.shape[0] + + # $\Theta = {\theta_i = 10000^{-\frac{2(i-1)}{d}}, i \in [1, 2, ..., \frac{d}{2}]}$ + theta = 1.0 / (self.base ** (torch.arange(0, self.d, 2).float() / self.d)).to(x.device) + + # Create position indexes `[0, 1, ..., seq_len - 1]` + seq_idx = torch.arange(seq_len, device=x.device).float().to(x.device) + + # Calculate the product of position index and $\theta_i$ + idx_theta = torch.einsum("n,d->nd", seq_idx, theta) + + # Concatenate so that for row $m$ we have + # $[m \theta_0, m \theta_1, ..., m \theta_{\frac{d}{2}}, m \theta_0, m \theta_1, ..., m \theta_{\frac{d}{2}}]$ + idx_theta2 = torch.cat([idx_theta, idx_theta], dim=1) + + # Cache them + self.cos_cached = idx_theta2.cos()[:, None, None, :] + self.sin_cached = idx_theta2.sin()[:, None, None, :] + + def _neg_half(self, x: torch.Tensor): + # $\frac{d}{2}$ + d_2 = self.d // 2 + + # Calculate $[-x^{(\frac{d}{2} + 1)}, -x^{(\frac{d}{2} + 2)}, ..., -x^{(d)}, x^{(1)}, x^{(2)}, ..., x^{(\frac{d}{2})}]$ + return torch.cat([-x[:, :, :, d_2:], x[:, :, :, :d_2]], dim=-1) + + def forward(self, x: torch.Tensor): + """ + * `x` is the Tensor at the head of a key or a query with shape `[seq_len, batch_size, n_heads, d]` + """ + # Cache $\cos$ and $\sin$ values + x = rearrange(x, "b h t d -> t b h d") + + self._build_cache(x) + + # Split the features, we can choose to apply rotary embeddings only to a partial set of features. + x_rope, x_pass = x[..., : self.d], x[..., self.d :] + + # Calculate + # $[-x^{(\frac{d}{2} + 1)}, -x^{(\frac{d}{2} + 2)}, ..., -x^{(d)}, x^{(1)}, x^{(2)}, ..., x^{(\frac{d}{2})}]$ + neg_half_x = self._neg_half(x_rope) + + x_rope = (x_rope * self.cos_cached[: x.shape[0]]) + (neg_half_x * self.sin_cached[: x.shape[0]]) + + return rearrange(torch.cat((x_rope, x_pass), dim=-1), "t b h d -> b h t d") + + +class MultiHeadAttention(nn.Module): + def __init__( + self, + channels, + out_channels, + n_heads, + heads_share=True, + p_dropout=0.0, + proximal_bias=False, + proximal_init=False, + ): + super().__init__() + assert channels % n_heads == 0 + + self.channels = channels + self.out_channels = out_channels + self.n_heads = n_heads + self.heads_share = heads_share + self.proximal_bias = proximal_bias + self.p_dropout = p_dropout + self.attn = None + + self.k_channels = channels // n_heads + self.conv_q = torch.nn.Conv1d(channels, channels, 1) + self.conv_k = torch.nn.Conv1d(channels, channels, 1) + self.conv_v = torch.nn.Conv1d(channels, channels, 1) + + # from https://nn.labml.ai/transformers/rope/index.html + self.query_rotary_pe = RotaryPositionalEmbeddings(self.k_channels * 0.5) + self.key_rotary_pe = RotaryPositionalEmbeddings(self.k_channels * 0.5) + + self.conv_o = torch.nn.Conv1d(channels, out_channels, 1) + self.drop = torch.nn.Dropout(p_dropout) + + torch.nn.init.xavier_uniform_(self.conv_q.weight) + torch.nn.init.xavier_uniform_(self.conv_k.weight) + if proximal_init: + self.conv_k.weight.data.copy_(self.conv_q.weight.data) + self.conv_k.bias.data.copy_(self.conv_q.bias.data) + torch.nn.init.xavier_uniform_(self.conv_v.weight) + + def forward(self, x, c, attn_mask=None): + q = self.conv_q(x) + k = self.conv_k(c) + v = self.conv_v(c) + + x, self.attn = self.attention(q, k, v, mask=attn_mask) + + x = self.conv_o(x) + return x + + def attention(self, query, key, value, mask=None): + b, d, t_s, t_t = (*key.size(), query.size(2)) + query = rearrange(query, "b (h c) t-> b h t c", h=self.n_heads) + key = rearrange(key, "b (h c) t-> b h t c", h=self.n_heads) + value = rearrange(value, "b (h c) t-> b h t c", h=self.n_heads) + + query = self.query_rotary_pe(query) + key = self.key_rotary_pe(key) + + scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(self.k_channels) + + if self.proximal_bias: + assert t_s == t_t, "Proximal bias is only available for self-attention." + scores = scores + self._attention_bias_proximal(t_s).to(device=scores.device, dtype=scores.dtype) + if mask is not None: + scores = scores.masked_fill(mask == 0, -1e4) + p_attn = torch.nn.functional.softmax(scores, dim=-1) + p_attn = self.drop(p_attn) + output = torch.matmul(p_attn, value) + output = output.transpose(2, 3).contiguous().view(b, d, t_t) + return output, p_attn + + @staticmethod + def _attention_bias_proximal(length): + r = torch.arange(length, dtype=torch.float32) + diff = torch.unsqueeze(r, 0) - torch.unsqueeze(r, 1) + return torch.unsqueeze(torch.unsqueeze(-torch.log1p(torch.abs(diff)), 0), 0) + + +class FFN(nn.Module): + def __init__(self, in_channels, out_channels, filter_channels, kernel_size, p_dropout=0.0): + super().__init__() + self.in_channels = in_channels + self.out_channels = out_channels + self.filter_channels = filter_channels + self.kernel_size = kernel_size + self.p_dropout = p_dropout + + self.conv_1 = torch.nn.Conv1d(in_channels, filter_channels, kernel_size, padding=kernel_size // 2) + self.conv_2 = torch.nn.Conv1d(filter_channels, out_channels, kernel_size, padding=kernel_size // 2) + self.drop = torch.nn.Dropout(p_dropout) + + def forward(self, x, x_mask): + x = self.conv_1(x * x_mask) + x = torch.relu(x) + x = self.drop(x) + x = self.conv_2(x * x_mask) + return x * x_mask + + +class Encoder(nn.Module): + def __init__( + self, + hidden_channels, + filter_channels, + n_heads, + n_layers, + kernel_size=1, + p_dropout=0.0, + **kwargs, + ): + super().__init__() + self.hidden_channels = hidden_channels + self.filter_channels = filter_channels + self.n_heads = n_heads + self.n_layers = n_layers + self.kernel_size = kernel_size + self.p_dropout = p_dropout + + self.drop = torch.nn.Dropout(p_dropout) + self.attn_layers = torch.nn.ModuleList() + self.norm_layers_1 = torch.nn.ModuleList() + self.ffn_layers = torch.nn.ModuleList() + self.norm_layers_2 = torch.nn.ModuleList() + for _ in range(self.n_layers): + self.attn_layers.append(MultiHeadAttention(hidden_channels, hidden_channels, n_heads, p_dropout=p_dropout)) + self.norm_layers_1.append(LayerNorm(hidden_channels)) + self.ffn_layers.append( + FFN( + hidden_channels, + hidden_channels, + filter_channels, + kernel_size, + p_dropout=p_dropout, + ) + ) + self.norm_layers_2.append(LayerNorm(hidden_channels)) + + def forward(self, x, x_mask): + attn_mask = x_mask.unsqueeze(2) * x_mask.unsqueeze(-1) + for i in range(self.n_layers): + x = x * x_mask + y = self.attn_layers[i](x, x, attn_mask) + y = self.drop(y) + x = self.norm_layers_1[i](x + y) + y = self.ffn_layers[i](x, x_mask) + y = self.drop(y) + x = self.norm_layers_2[i](x + y) + x = x * x_mask + return x + + +class TextEncoder(nn.Module): + def __init__( + self, + encoder_type, + encoder_params, + duration_predictor_params, + n_vocab, + n_spks=1, + spk_emb_dim=128, + ): + super().__init__() + self.encoder_type = encoder_type + self.n_vocab = n_vocab + self.n_feats = encoder_params.n_feats + self.n_channels = encoder_params.n_channels + self.spk_emb_dim = spk_emb_dim + self.n_spks = n_spks + + self.emb = torch.nn.Embedding(n_vocab, self.n_channels) + torch.nn.init.normal_(self.emb.weight, 0.0, self.n_channels**-0.5) + + if encoder_params.prenet: + self.prenet = ConvReluNorm( + self.n_channels, + self.n_channels, + self.n_channels, + kernel_size=5, + n_layers=3, + p_dropout=0.5, + ) + else: + self.prenet = lambda x, x_mask: x + + self.encoder = Encoder( + encoder_params.n_channels + (spk_emb_dim if n_spks > 1 else 0), + encoder_params.filter_channels, + encoder_params.n_heads, + encoder_params.n_layers, + encoder_params.kernel_size, + encoder_params.p_dropout, + ) + + self.proj_m = torch.nn.Conv1d(self.n_channels + (spk_emb_dim if n_spks > 1 else 0), self.n_feats, 1) + self.proj_w = DurationPredictor( + self.n_channels + (spk_emb_dim if n_spks > 1 else 0), + duration_predictor_params.filter_channels_dp, + duration_predictor_params.kernel_size, + duration_predictor_params.p_dropout, + ) + + def forward(self, x, x_lengths, spks=None): + """Run forward pass to the transformer based encoder and duration predictor + + Args: + x (torch.Tensor): text input + shape: (batch_size, max_text_length) + x_lengths (torch.Tensor): text input lengths + shape: (batch_size,) + spks (torch.Tensor, optional): speaker ids. Defaults to None. + shape: (batch_size,) + + Returns: + mu (torch.Tensor): average output of the encoder + shape: (batch_size, n_feats, max_text_length) + logw (torch.Tensor): log duration predicted by the duration predictor + shape: (batch_size, 1, max_text_length) + x_mask (torch.Tensor): mask for the text input + shape: (batch_size, 1, max_text_length) + """ + x = self.emb(x) * math.sqrt(self.n_channels) + x = torch.transpose(x, 1, -1) + x_mask = torch.unsqueeze(sequence_mask(x_lengths, x.size(2)), 1).to(x.dtype) + + x = self.prenet(x, x_mask) + if self.n_spks > 1: + x = torch.cat([x, spks.unsqueeze(-1).repeat(1, 1, x.shape[-1])], dim=1) + x = self.encoder(x, x_mask) + mu = self.proj_m(x) * x_mask + + x_dp = torch.detach(x) + logw = self.proj_w(x_dp, x_mask) + + return mu, logw, x_mask diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/models/components/transformer.py b/CosyVoice/third_party/Matcha-TTS/matcha/models/components/transformer.py new file mode 100644 index 0000000000000000000000000000000000000000..dd1afa3aff5383912209e508676c6885e13ef4ee --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/models/components/transformer.py @@ -0,0 +1,316 @@ +from typing import Any, Dict, Optional + +import torch +import torch.nn as nn +from diffusers.models.attention import ( + GEGLU, + GELU, + AdaLayerNorm, + AdaLayerNormZero, + ApproximateGELU, +) +from diffusers.models.attention_processor import Attention +from diffusers.models.lora import LoRACompatibleLinear +from diffusers.utils.torch_utils import maybe_allow_in_graph + + +class SnakeBeta(nn.Module): + """ + A modified Snake function which uses separate parameters for the magnitude of the periodic components + Shape: + - Input: (B, C, T) + - Output: (B, C, T), same shape as the input + Parameters: + - alpha - trainable parameter that controls frequency + - beta - trainable parameter that controls magnitude + References: + - This activation function is a modified version based on this paper by Liu Ziyin, Tilman Hartwig, Masahito Ueda: + https://arxiv.org/abs/2006.08195 + Examples: + >>> a1 = snakebeta(256) + >>> x = torch.randn(256) + >>> x = a1(x) + """ + + def __init__(self, in_features, out_features, alpha=1.0, alpha_trainable=True, alpha_logscale=True): + """ + Initialization. + INPUT: + - in_features: shape of the input + - alpha - trainable parameter that controls frequency + - beta - trainable parameter that controls magnitude + alpha is initialized to 1 by default, higher values = higher-frequency. + beta is initialized to 1 by default, higher values = higher-magnitude. + alpha will be trained along with the rest of your model. + """ + super().__init__() + self.in_features = out_features if isinstance(out_features, list) else [out_features] + self.proj = LoRACompatibleLinear(in_features, out_features) + + # initialize alpha + self.alpha_logscale = alpha_logscale + if self.alpha_logscale: # log scale alphas initialized to zeros + self.alpha = nn.Parameter(torch.zeros(self.in_features) * alpha) + self.beta = nn.Parameter(torch.zeros(self.in_features) * alpha) + else: # linear scale alphas initialized to ones + self.alpha = nn.Parameter(torch.ones(self.in_features) * alpha) + self.beta = nn.Parameter(torch.ones(self.in_features) * alpha) + + self.alpha.requires_grad = alpha_trainable + self.beta.requires_grad = alpha_trainable + + self.no_div_by_zero = 0.000000001 + + def forward(self, x): + """ + Forward pass of the function. + Applies the function to the input elementwise. + SnakeBeta ∶= x + 1/b * sin^2 (xa) + """ + x = self.proj(x) + if self.alpha_logscale: + alpha = torch.exp(self.alpha) + beta = torch.exp(self.beta) + else: + alpha = self.alpha + beta = self.beta + + x = x + (1.0 / (beta + self.no_div_by_zero)) * torch.pow(torch.sin(x * alpha), 2) + + return x + + +class FeedForward(nn.Module): + r""" + A feed-forward layer. + + Parameters: + dim (`int`): The number of channels in the input. + dim_out (`int`, *optional*): The number of channels in the output. If not given, defaults to `dim`. + mult (`int`, *optional*, defaults to 4): The multiplier to use for the hidden dimension. + dropout (`float`, *optional*, defaults to 0.0): The dropout probability to use. + activation_fn (`str`, *optional*, defaults to `"geglu"`): Activation function to be used in feed-forward. + final_dropout (`bool` *optional*, defaults to False): Apply a final dropout. + """ + + def __init__( + self, + dim: int, + dim_out: Optional[int] = None, + mult: int = 4, + dropout: float = 0.0, + activation_fn: str = "geglu", + final_dropout: bool = False, + ): + super().__init__() + inner_dim = int(dim * mult) + dim_out = dim_out if dim_out is not None else dim + + if activation_fn == "gelu": + act_fn = GELU(dim, inner_dim) + if activation_fn == "gelu-approximate": + act_fn = GELU(dim, inner_dim, approximate="tanh") + elif activation_fn == "geglu": + act_fn = GEGLU(dim, inner_dim) + elif activation_fn == "geglu-approximate": + act_fn = ApproximateGELU(dim, inner_dim) + elif activation_fn == "snakebeta": + act_fn = SnakeBeta(dim, inner_dim) + + self.net = nn.ModuleList([]) + # project in + self.net.append(act_fn) + # project dropout + self.net.append(nn.Dropout(dropout)) + # project out + self.net.append(LoRACompatibleLinear(inner_dim, dim_out)) + # FF as used in Vision Transformer, MLP-Mixer, etc. have a final dropout + if final_dropout: + self.net.append(nn.Dropout(dropout)) + + def forward(self, hidden_states): + for module in self.net: + hidden_states = module(hidden_states) + return hidden_states + + +@maybe_allow_in_graph +class BasicTransformerBlock(nn.Module): + r""" + A basic Transformer block. + + Parameters: + dim (`int`): The number of channels in the input and output. + num_attention_heads (`int`): The number of heads to use for multi-head attention. + attention_head_dim (`int`): The number of channels in each head. + dropout (`float`, *optional*, defaults to 0.0): The dropout probability to use. + cross_attention_dim (`int`, *optional*): The size of the encoder_hidden_states vector for cross attention. + only_cross_attention (`bool`, *optional*): + Whether to use only cross-attention layers. In this case two cross attention layers are used. + double_self_attention (`bool`, *optional*): + Whether to use two self-attention layers. In this case no cross attention layers are used. + activation_fn (`str`, *optional*, defaults to `"geglu"`): Activation function to be used in feed-forward. + num_embeds_ada_norm (: + obj: `int`, *optional*): The number of diffusion steps used during training. See `Transformer2DModel`. + attention_bias (: + obj: `bool`, *optional*, defaults to `False`): Configure if the attentions should contain a bias parameter. + """ + + def __init__( + self, + dim: int, + num_attention_heads: int, + attention_head_dim: int, + dropout=0.0, + cross_attention_dim: Optional[int] = None, + activation_fn: str = "geglu", + num_embeds_ada_norm: Optional[int] = None, + attention_bias: bool = False, + only_cross_attention: bool = False, + double_self_attention: bool = False, + upcast_attention: bool = False, + norm_elementwise_affine: bool = True, + norm_type: str = "layer_norm", + final_dropout: bool = False, + ): + super().__init__() + self.only_cross_attention = only_cross_attention + + self.use_ada_layer_norm_zero = (num_embeds_ada_norm is not None) and norm_type == "ada_norm_zero" + self.use_ada_layer_norm = (num_embeds_ada_norm is not None) and norm_type == "ada_norm" + + if norm_type in ("ada_norm", "ada_norm_zero") and num_embeds_ada_norm is None: + raise ValueError( + f"`norm_type` is set to {norm_type}, but `num_embeds_ada_norm` is not defined. Please make sure to" + f" define `num_embeds_ada_norm` if setting `norm_type` to {norm_type}." + ) + + # Define 3 blocks. Each block has its own normalization layer. + # 1. Self-Attn + if self.use_ada_layer_norm: + self.norm1 = AdaLayerNorm(dim, num_embeds_ada_norm) + elif self.use_ada_layer_norm_zero: + self.norm1 = AdaLayerNormZero(dim, num_embeds_ada_norm) + else: + self.norm1 = nn.LayerNorm(dim, elementwise_affine=norm_elementwise_affine) + self.attn1 = Attention( + query_dim=dim, + heads=num_attention_heads, + dim_head=attention_head_dim, + dropout=dropout, + bias=attention_bias, + cross_attention_dim=cross_attention_dim if only_cross_attention else None, + upcast_attention=upcast_attention, + ) + + # 2. Cross-Attn + if cross_attention_dim is not None or double_self_attention: + # We currently only use AdaLayerNormZero for self attention where there will only be one attention block. + # I.e. the number of returned modulation chunks from AdaLayerZero would not make sense if returned during + # the second cross attention block. + self.norm2 = ( + AdaLayerNorm(dim, num_embeds_ada_norm) + if self.use_ada_layer_norm + else nn.LayerNorm(dim, elementwise_affine=norm_elementwise_affine) + ) + self.attn2 = Attention( + query_dim=dim, + cross_attention_dim=cross_attention_dim if not double_self_attention else None, + heads=num_attention_heads, + dim_head=attention_head_dim, + dropout=dropout, + bias=attention_bias, + upcast_attention=upcast_attention, + # scale_qk=False, # uncomment this to not to use flash attention + ) # is self-attn if encoder_hidden_states is none + else: + self.norm2 = None + self.attn2 = None + + # 3. Feed-forward + self.norm3 = nn.LayerNorm(dim, elementwise_affine=norm_elementwise_affine) + self.ff = FeedForward(dim, dropout=dropout, activation_fn=activation_fn, final_dropout=final_dropout) + + # let chunk size default to None + self._chunk_size = None + self._chunk_dim = 0 + + def set_chunk_feed_forward(self, chunk_size: Optional[int], dim: int): + # Sets chunk feed-forward + self._chunk_size = chunk_size + self._chunk_dim = dim + + def forward( + self, + hidden_states: torch.FloatTensor, + attention_mask: Optional[torch.FloatTensor] = None, + encoder_hidden_states: Optional[torch.FloatTensor] = None, + encoder_attention_mask: Optional[torch.FloatTensor] = None, + timestep: Optional[torch.LongTensor] = None, + cross_attention_kwargs: Dict[str, Any] = None, + class_labels: Optional[torch.LongTensor] = None, + ): + # Notice that normalization is always applied before the real computation in the following blocks. + # 1. Self-Attention + if self.use_ada_layer_norm: + norm_hidden_states = self.norm1(hidden_states, timestep) + elif self.use_ada_layer_norm_zero: + norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1( + hidden_states, timestep, class_labels, hidden_dtype=hidden_states.dtype + ) + else: + norm_hidden_states = self.norm1(hidden_states) + + cross_attention_kwargs = cross_attention_kwargs if cross_attention_kwargs is not None else {} + + attn_output = self.attn1( + norm_hidden_states, + encoder_hidden_states=encoder_hidden_states if self.only_cross_attention else None, + attention_mask=encoder_attention_mask if self.only_cross_attention else attention_mask, + **cross_attention_kwargs, + ) + if self.use_ada_layer_norm_zero: + attn_output = gate_msa.unsqueeze(1) * attn_output + hidden_states = attn_output + hidden_states + + # 2. Cross-Attention + if self.attn2 is not None: + norm_hidden_states = ( + self.norm2(hidden_states, timestep) if self.use_ada_layer_norm else self.norm2(hidden_states) + ) + + attn_output = self.attn2( + norm_hidden_states, + encoder_hidden_states=encoder_hidden_states, + attention_mask=encoder_attention_mask, + **cross_attention_kwargs, + ) + hidden_states = attn_output + hidden_states + + # 3. Feed-forward + norm_hidden_states = self.norm3(hidden_states) + + if self.use_ada_layer_norm_zero: + norm_hidden_states = norm_hidden_states * (1 + scale_mlp[:, None]) + shift_mlp[:, None] + + if self._chunk_size is not None: + # "feed_forward_chunk_size" can be used to save memory + if norm_hidden_states.shape[self._chunk_dim] % self._chunk_size != 0: + raise ValueError( + f"`hidden_states` dimension to be chunked: {norm_hidden_states.shape[self._chunk_dim]} has to be divisible by chunk size: {self._chunk_size}. Make sure to set an appropriate `chunk_size` when calling `unet.enable_forward_chunking`." + ) + + num_chunks = norm_hidden_states.shape[self._chunk_dim] // self._chunk_size + ff_output = torch.cat( + [self.ff(hid_slice) for hid_slice in norm_hidden_states.chunk(num_chunks, dim=self._chunk_dim)], + dim=self._chunk_dim, + ) + else: + ff_output = self.ff(norm_hidden_states) + + if self.use_ada_layer_norm_zero: + ff_output = gate_mlp.unsqueeze(1) * ff_output + + hidden_states = ff_output + hidden_states + + return hidden_states diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/models/matcha_tts.py b/CosyVoice/third_party/Matcha-TTS/matcha/models/matcha_tts.py new file mode 100644 index 0000000000000000000000000000000000000000..64b2c07fe8de4760aee1aed80d206112d30df55f --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/models/matcha_tts.py @@ -0,0 +1,239 @@ +import datetime as dt +import math +import random + +import torch + +import matcha.utils.monotonic_align as monotonic_align +from matcha import utils +from matcha.models.baselightningmodule import BaseLightningClass +from matcha.models.components.flow_matching import CFM +from matcha.models.components.text_encoder import TextEncoder +from matcha.utils.model import ( + denormalize, + duration_loss, + fix_len_compatibility, + generate_path, + sequence_mask, +) + +log = utils.get_pylogger(__name__) + + +class MatchaTTS(BaseLightningClass): # 🍵 + def __init__( + self, + n_vocab, + n_spks, + spk_emb_dim, + n_feats, + encoder, + decoder, + cfm, + data_statistics, + out_size, + optimizer=None, + scheduler=None, + prior_loss=True, + ): + super().__init__() + + self.save_hyperparameters(logger=False) + + self.n_vocab = n_vocab + self.n_spks = n_spks + self.spk_emb_dim = spk_emb_dim + self.n_feats = n_feats + self.out_size = out_size + self.prior_loss = prior_loss + + if n_spks > 1: + self.spk_emb = torch.nn.Embedding(n_spks, spk_emb_dim) + + self.encoder = TextEncoder( + encoder.encoder_type, + encoder.encoder_params, + encoder.duration_predictor_params, + n_vocab, + n_spks, + spk_emb_dim, + ) + + self.decoder = CFM( + in_channels=2 * encoder.encoder_params.n_feats, + out_channel=encoder.encoder_params.n_feats, + cfm_params=cfm, + decoder_params=decoder, + n_spks=n_spks, + spk_emb_dim=spk_emb_dim, + ) + + self.update_data_statistics(data_statistics) + + @torch.inference_mode() + def synthesise(self, x, x_lengths, n_timesteps, temperature=1.0, spks=None, length_scale=1.0): + """ + Generates mel-spectrogram from text. Returns: + 1. encoder outputs + 2. decoder outputs + 3. generated alignment + + Args: + x (torch.Tensor): batch of texts, converted to a tensor with phoneme embedding ids. + shape: (batch_size, max_text_length) + x_lengths (torch.Tensor): lengths of texts in batch. + shape: (batch_size,) + n_timesteps (int): number of steps to use for reverse diffusion in decoder. + temperature (float, optional): controls variance of terminal distribution. + spks (bool, optional): speaker ids. + shape: (batch_size,) + length_scale (float, optional): controls speech pace. + Increase value to slow down generated speech and vice versa. + + Returns: + dict: { + "encoder_outputs": torch.Tensor, shape: (batch_size, n_feats, max_mel_length), + # Average mel spectrogram generated by the encoder + "decoder_outputs": torch.Tensor, shape: (batch_size, n_feats, max_mel_length), + # Refined mel spectrogram improved by the CFM + "attn": torch.Tensor, shape: (batch_size, max_text_length, max_mel_length), + # Alignment map between text and mel spectrogram + "mel": torch.Tensor, shape: (batch_size, n_feats, max_mel_length), + # Denormalized mel spectrogram + "mel_lengths": torch.Tensor, shape: (batch_size,), + # Lengths of mel spectrograms + "rtf": float, + # Real-time factor + """ + # For RTF computation + t = dt.datetime.now() + + if self.n_spks > 1: + # Get speaker embedding + spks = self.spk_emb(spks.long()) + + # Get encoder_outputs `mu_x` and log-scaled token durations `logw` + mu_x, logw, x_mask = self.encoder(x, x_lengths, spks) + + w = torch.exp(logw) * x_mask + w_ceil = torch.ceil(w) * length_scale + y_lengths = torch.clamp_min(torch.sum(w_ceil, [1, 2]), 1).long() + y_max_length = y_lengths.max() + y_max_length_ = fix_len_compatibility(y_max_length) + + # Using obtained durations `w` construct alignment map `attn` + y_mask = sequence_mask(y_lengths, y_max_length_).unsqueeze(1).to(x_mask.dtype) + attn_mask = x_mask.unsqueeze(-1) * y_mask.unsqueeze(2) + attn = generate_path(w_ceil.squeeze(1), attn_mask.squeeze(1)).unsqueeze(1) + + # Align encoded text and get mu_y + mu_y = torch.matmul(attn.squeeze(1).transpose(1, 2), mu_x.transpose(1, 2)) + mu_y = mu_y.transpose(1, 2) + encoder_outputs = mu_y[:, :, :y_max_length] + + # Generate sample tracing the probability flow + decoder_outputs = self.decoder(mu_y, y_mask, n_timesteps, temperature, spks) + decoder_outputs = decoder_outputs[:, :, :y_max_length] + + t = (dt.datetime.now() - t).total_seconds() + rtf = t * 22050 / (decoder_outputs.shape[-1] * 256) + + return { + "encoder_outputs": encoder_outputs, + "decoder_outputs": decoder_outputs, + "attn": attn[:, :, :y_max_length], + "mel": denormalize(decoder_outputs, self.mel_mean, self.mel_std), + "mel_lengths": y_lengths, + "rtf": rtf, + } + + def forward(self, x, x_lengths, y, y_lengths, spks=None, out_size=None, cond=None): + """ + Computes 3 losses: + 1. duration loss: loss between predicted token durations and those extracted by Monotinic Alignment Search (MAS). + 2. prior loss: loss between mel-spectrogram and encoder outputs. + 3. flow matching loss: loss between mel-spectrogram and decoder outputs. + + Args: + x (torch.Tensor): batch of texts, converted to a tensor with phoneme embedding ids. + shape: (batch_size, max_text_length) + x_lengths (torch.Tensor): lengths of texts in batch. + shape: (batch_size,) + y (torch.Tensor): batch of corresponding mel-spectrograms. + shape: (batch_size, n_feats, max_mel_length) + y_lengths (torch.Tensor): lengths of mel-spectrograms in batch. + shape: (batch_size,) + out_size (int, optional): length (in mel's sampling rate) of segment to cut, on which decoder will be trained. + Should be divisible by 2^{num of UNet downsamplings}. Needed to increase batch size. + spks (torch.Tensor, optional): speaker ids. + shape: (batch_size,) + """ + if self.n_spks > 1: + # Get speaker embedding + spks = self.spk_emb(spks) + + # Get encoder_outputs `mu_x` and log-scaled token durations `logw` + mu_x, logw, x_mask = self.encoder(x, x_lengths, spks) + y_max_length = y.shape[-1] + + y_mask = sequence_mask(y_lengths, y_max_length).unsqueeze(1).to(x_mask) + attn_mask = x_mask.unsqueeze(-1) * y_mask.unsqueeze(2) + + # Use MAS to find most likely alignment `attn` between text and mel-spectrogram + with torch.no_grad(): + const = -0.5 * math.log(2 * math.pi) * self.n_feats + factor = -0.5 * torch.ones(mu_x.shape, dtype=mu_x.dtype, device=mu_x.device) + y_square = torch.matmul(factor.transpose(1, 2), y**2) + y_mu_double = torch.matmul(2.0 * (factor * mu_x).transpose(1, 2), y) + mu_square = torch.sum(factor * (mu_x**2), 1).unsqueeze(-1) + log_prior = y_square - y_mu_double + mu_square + const + + attn = monotonic_align.maximum_path(log_prior, attn_mask.squeeze(1)) + attn = attn.detach() + + # Compute loss between predicted log-scaled durations and those obtained from MAS + # refered to as prior loss in the paper + logw_ = torch.log(1e-8 + torch.sum(attn.unsqueeze(1), -1)) * x_mask + dur_loss = duration_loss(logw, logw_, x_lengths) + + # Cut a small segment of mel-spectrogram in order to increase batch size + # - "Hack" taken from Grad-TTS, in case of Grad-TTS, we cannot train batch size 32 on a 24GB GPU without it + # - Do not need this hack for Matcha-TTS, but it works with it as well + if not isinstance(out_size, type(None)): + max_offset = (y_lengths - out_size).clamp(0) + offset_ranges = list(zip([0] * max_offset.shape[0], max_offset.cpu().numpy())) + out_offset = torch.LongTensor( + [torch.tensor(random.choice(range(start, end)) if end > start else 0) for start, end in offset_ranges] + ).to(y_lengths) + attn_cut = torch.zeros(attn.shape[0], attn.shape[1], out_size, dtype=attn.dtype, device=attn.device) + y_cut = torch.zeros(y.shape[0], self.n_feats, out_size, dtype=y.dtype, device=y.device) + + y_cut_lengths = [] + for i, (y_, out_offset_) in enumerate(zip(y, out_offset)): + y_cut_length = out_size + (y_lengths[i] - out_size).clamp(None, 0) + y_cut_lengths.append(y_cut_length) + cut_lower, cut_upper = out_offset_, out_offset_ + y_cut_length + y_cut[i, :, :y_cut_length] = y_[:, cut_lower:cut_upper] + attn_cut[i, :, :y_cut_length] = attn[i, :, cut_lower:cut_upper] + + y_cut_lengths = torch.LongTensor(y_cut_lengths) + y_cut_mask = sequence_mask(y_cut_lengths).unsqueeze(1).to(y_mask) + + attn = attn_cut + y = y_cut + y_mask = y_cut_mask + + # Align encoded text with mel-spectrogram and get mu_y segment + mu_y = torch.matmul(attn.squeeze(1).transpose(1, 2), mu_x.transpose(1, 2)) + mu_y = mu_y.transpose(1, 2) + + # Compute loss of the decoder + diff_loss, _ = self.decoder.compute_loss(x1=y, mask=y_mask, mu=mu_y, spks=spks, cond=cond) + + if self.prior_loss: + prior_loss = torch.sum(0.5 * ((y - mu_y) ** 2 + math.log(2 * math.pi)) * y_mask) + prior_loss = prior_loss / (torch.sum(y_mask) * self.n_feats) + else: + prior_loss = 0 + + return dur_loss, prior_loss, diff_loss diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/onnx/__init__.py b/CosyVoice/third_party/Matcha-TTS/matcha/onnx/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/onnx/export.py b/CosyVoice/third_party/Matcha-TTS/matcha/onnx/export.py new file mode 100644 index 0000000000000000000000000000000000000000..9b795086158e1ad8a4bb5cd92306f3fa765f71ea --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/onnx/export.py @@ -0,0 +1,181 @@ +import argparse +import random +from pathlib import Path + +import numpy as np +import torch +from lightning import LightningModule + +from matcha.cli import VOCODER_URLS, load_matcha, load_vocoder + +DEFAULT_OPSET = 15 + +SEED = 1234 +random.seed(SEED) +np.random.seed(SEED) +torch.manual_seed(SEED) +torch.cuda.manual_seed(SEED) +torch.backends.cudnn.deterministic = True +torch.backends.cudnn.benchmark = False + + +class MatchaWithVocoder(LightningModule): + def __init__(self, matcha, vocoder): + super().__init__() + self.matcha = matcha + self.vocoder = vocoder + + def forward(self, x, x_lengths, scales, spks=None): + mel, mel_lengths = self.matcha(x, x_lengths, scales, spks) + wavs = self.vocoder(mel).clamp(-1, 1) + lengths = mel_lengths * 256 + return wavs.squeeze(1), lengths + + +def get_exportable_module(matcha, vocoder, n_timesteps): + """ + Return an appropriate `LighteningModule` and output-node names + based on whether the vocoder is embedded in the final graph + """ + + def onnx_forward_func(x, x_lengths, scales, spks=None): + """ + Custom forward function for accepting + scaler parameters as tensors + """ + # Extract scaler parameters from tensors + temperature = scales[0] + length_scale = scales[1] + output = matcha.synthesise(x, x_lengths, n_timesteps, temperature, spks, length_scale) + return output["mel"], output["mel_lengths"] + + # Monkey-patch Matcha's forward function + matcha.forward = onnx_forward_func + + if vocoder is None: + model, output_names = matcha, ["mel", "mel_lengths"] + else: + model = MatchaWithVocoder(matcha, vocoder) + output_names = ["wav", "wav_lengths"] + return model, output_names + + +def get_inputs(is_multi_speaker): + """ + Create dummy inputs for tracing + """ + dummy_input_length = 50 + x = torch.randint(low=0, high=20, size=(1, dummy_input_length), dtype=torch.long) + x_lengths = torch.LongTensor([dummy_input_length]) + + # Scales + temperature = 0.667 + length_scale = 1.0 + scales = torch.Tensor([temperature, length_scale]) + + model_inputs = [x, x_lengths, scales] + input_names = [ + "x", + "x_lengths", + "scales", + ] + + if is_multi_speaker: + spks = torch.LongTensor([1]) + model_inputs.append(spks) + input_names.append("spks") + + return tuple(model_inputs), input_names + + +def main(): + parser = argparse.ArgumentParser(description="Export 🍵 Matcha-TTS to ONNX") + + parser.add_argument( + "checkpoint_path", + type=str, + help="Path to the model checkpoint", + ) + parser.add_argument("output", type=str, help="Path to output `.onnx` file") + parser.add_argument( + "--n-timesteps", type=int, default=5, help="Number of steps to use for reverse diffusion in decoder (default 5)" + ) + parser.add_argument( + "--vocoder-name", + type=str, + choices=list(VOCODER_URLS.keys()), + default=None, + help="Name of the vocoder to embed in the ONNX graph", + ) + parser.add_argument( + "--vocoder-checkpoint-path", + type=str, + default=None, + help="Vocoder checkpoint to embed in the ONNX graph for an `e2e` like experience", + ) + parser.add_argument("--opset", type=int, default=DEFAULT_OPSET, help="ONNX opset version to use (default 15") + + args = parser.parse_args() + + print(f"[🍵] Loading Matcha checkpoint from {args.checkpoint_path}") + print(f"Setting n_timesteps to {args.n_timesteps}") + + checkpoint_path = Path(args.checkpoint_path) + matcha = load_matcha(checkpoint_path.stem, checkpoint_path, "cpu") + + if args.vocoder_name or args.vocoder_checkpoint_path: + assert ( + args.vocoder_name and args.vocoder_checkpoint_path + ), "Both vocoder_name and vocoder-checkpoint are required when embedding the vocoder in the ONNX graph." + vocoder, _ = load_vocoder(args.vocoder_name, args.vocoder_checkpoint_path, "cpu") + else: + vocoder = None + + is_multi_speaker = matcha.n_spks > 1 + + dummy_input, input_names = get_inputs(is_multi_speaker) + model, output_names = get_exportable_module(matcha, vocoder, args.n_timesteps) + + # Set dynamic shape for inputs/outputs + dynamic_axes = { + "x": {0: "batch_size", 1: "time"}, + "x_lengths": {0: "batch_size"}, + } + + if vocoder is None: + dynamic_axes.update( + { + "mel": {0: "batch_size", 2: "time"}, + "mel_lengths": {0: "batch_size"}, + } + ) + else: + print("Embedding the vocoder in the ONNX graph") + dynamic_axes.update( + { + "wav": {0: "batch_size", 1: "time"}, + "wav_lengths": {0: "batch_size"}, + } + ) + + if is_multi_speaker: + dynamic_axes["spks"] = {0: "batch_size"} + + # Create the output directory (if not exists) + Path(args.output).parent.mkdir(parents=True, exist_ok=True) + + model.to_onnx( + args.output, + dummy_input, + input_names=input_names, + output_names=output_names, + dynamic_axes=dynamic_axes, + opset_version=args.opset, + export_params=True, + do_constant_folding=True, + ) + print(f"[🍵] ONNX model exported to {args.output}") + + +if __name__ == "__main__": + main() diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/onnx/infer.py b/CosyVoice/third_party/Matcha-TTS/matcha/onnx/infer.py new file mode 100644 index 0000000000000000000000000000000000000000..89ca92559c6df3776a07a038d7838242a3d19189 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/onnx/infer.py @@ -0,0 +1,168 @@ +import argparse +import os +import warnings +from pathlib import Path +from time import perf_counter + +import numpy as np +import onnxruntime as ort +import soundfile as sf +import torch + +from matcha.cli import plot_spectrogram_to_numpy, process_text + + +def validate_args(args): + assert ( + args.text or args.file + ), "Either text or file must be provided Matcha-T(ea)TTS need sometext to whisk the waveforms." + assert args.temperature >= 0, "Sampling temperature cannot be negative" + assert args.speaking_rate >= 0, "Speaking rate must be greater than 0" + return args + + +def write_wavs(model, inputs, output_dir, external_vocoder=None): + if external_vocoder is None: + print("The provided model has the vocoder embedded in the graph.\nGenerating waveform directly") + t0 = perf_counter() + wavs, wav_lengths = model.run(None, inputs) + infer_secs = perf_counter() - t0 + mel_infer_secs = vocoder_infer_secs = None + else: + print("[🍵] Generating mel using Matcha") + mel_t0 = perf_counter() + mels, mel_lengths = model.run(None, inputs) + mel_infer_secs = perf_counter() - mel_t0 + print("Generating waveform from mel using external vocoder") + vocoder_inputs = {external_vocoder.get_inputs()[0].name: mels} + vocoder_t0 = perf_counter() + wavs = external_vocoder.run(None, vocoder_inputs)[0] + vocoder_infer_secs = perf_counter() - vocoder_t0 + wavs = wavs.squeeze(1) + wav_lengths = mel_lengths * 256 + infer_secs = mel_infer_secs + vocoder_infer_secs + + output_dir = Path(output_dir) + output_dir.mkdir(parents=True, exist_ok=True) + for i, (wav, wav_length) in enumerate(zip(wavs, wav_lengths)): + output_filename = output_dir.joinpath(f"output_{i + 1}.wav") + audio = wav[:wav_length] + print(f"Writing audio to {output_filename}") + sf.write(output_filename, audio, 22050, "PCM_24") + + wav_secs = wav_lengths.sum() / 22050 + print(f"Inference seconds: {infer_secs}") + print(f"Generated wav seconds: {wav_secs}") + rtf = infer_secs / wav_secs + if mel_infer_secs is not None: + mel_rtf = mel_infer_secs / wav_secs + print(f"Matcha RTF: {mel_rtf}") + if vocoder_infer_secs is not None: + vocoder_rtf = vocoder_infer_secs / wav_secs + print(f"Vocoder RTF: {vocoder_rtf}") + print(f"Overall RTF: {rtf}") + + +def write_mels(model, inputs, output_dir): + t0 = perf_counter() + mels, mel_lengths = model.run(None, inputs) + infer_secs = perf_counter() - t0 + + output_dir = Path(output_dir) + output_dir.mkdir(parents=True, exist_ok=True) + for i, mel in enumerate(mels): + output_stem = output_dir.joinpath(f"output_{i + 1}") + plot_spectrogram_to_numpy(mel.squeeze(), output_stem.with_suffix(".png")) + np.save(output_stem.with_suffix(".numpy"), mel) + + wav_secs = (mel_lengths * 256).sum() / 22050 + print(f"Inference seconds: {infer_secs}") + print(f"Generated wav seconds: {wav_secs}") + rtf = infer_secs / wav_secs + print(f"RTF: {rtf}") + + +def main(): + parser = argparse.ArgumentParser( + description=" 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching" + ) + parser.add_argument( + "model", + type=str, + help="ONNX model to use", + ) + parser.add_argument("--vocoder", type=str, default=None, help="Vocoder to use (defaults to None)") + parser.add_argument("--text", type=str, default=None, help="Text to synthesize") + parser.add_argument("--file", type=str, default=None, help="Text file to synthesize") + parser.add_argument("--spk", type=int, default=None, help="Speaker ID") + parser.add_argument( + "--temperature", + type=float, + default=0.667, + help="Variance of the x0 noise (default: 0.667)", + ) + parser.add_argument( + "--speaking-rate", + type=float, + default=1.0, + help="change the speaking rate, a higher value means slower speaking rate (default: 1.0)", + ) + parser.add_argument("--gpu", action="store_true", help="Use CPU for inference (default: use GPU if available)") + parser.add_argument( + "--output-dir", + type=str, + default=os.getcwd(), + help="Output folder to save results (default: current dir)", + ) + + args = parser.parse_args() + args = validate_args(args) + + if args.gpu: + providers = ["GPUExecutionProvider"] + else: + providers = ["CPUExecutionProvider"] + model = ort.InferenceSession(args.model, providers=providers) + + model_inputs = model.get_inputs() + model_outputs = list(model.get_outputs()) + + if args.text: + text_lines = args.text.splitlines() + else: + with open(args.file, encoding="utf-8") as file: + text_lines = file.read().splitlines() + + processed_lines = [process_text(0, line, "cpu") for line in text_lines] + x = [line["x"].squeeze() for line in processed_lines] + # Pad + x = torch.nn.utils.rnn.pad_sequence(x, batch_first=True) + x = x.detach().cpu().numpy() + x_lengths = np.array([line["x_lengths"].item() for line in processed_lines], dtype=np.int64) + inputs = { + "x": x, + "x_lengths": x_lengths, + "scales": np.array([args.temperature, args.speaking_rate], dtype=np.float32), + } + is_multi_speaker = len(model_inputs) == 4 + if is_multi_speaker: + if args.spk is None: + args.spk = 0 + warn = "[!] Speaker ID not provided! Using speaker ID 0" + warnings.warn(warn, UserWarning) + inputs["spks"] = np.repeat(args.spk, x.shape[0]).astype(np.int64) + + has_vocoder_embedded = model_outputs[0].name == "wav" + if has_vocoder_embedded: + write_wavs(model, inputs, args.output_dir) + elif args.vocoder: + external_vocoder = ort.InferenceSession(args.vocoder, providers=providers) + write_wavs(model, inputs, args.output_dir, external_vocoder=external_vocoder) + else: + warn = "[!] A vocoder is not embedded in the graph nor an external vocoder is provided. The mel output will be written as numpy arrays to `*.npy` files in the output directory" + warnings.warn(warn, UserWarning) + write_mels(model, inputs, args.output_dir) + + +if __name__ == "__main__": + main() diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/text/__init__.py b/CosyVoice/third_party/Matcha-TTS/matcha/text/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..71a4b57891d3c06ad9f25493c1b40bc2f5962d17 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/text/__init__.py @@ -0,0 +1,53 @@ +""" from https://github.com/keithito/tacotron """ +from matcha.text import cleaners +from matcha.text.symbols import symbols + +# Mappings from symbol to numeric ID and vice versa: +_symbol_to_id = {s: i for i, s in enumerate(symbols)} +_id_to_symbol = {i: s for i, s in enumerate(symbols)} # pylint: disable=unnecessary-comprehension + + +def text_to_sequence(text, cleaner_names): + """Converts a string of text to a sequence of IDs corresponding to the symbols in the text. + Args: + text: string to convert to a sequence + cleaner_names: names of the cleaner functions to run the text through + Returns: + List of integers corresponding to the symbols in the text + """ + sequence = [] + + clean_text = _clean_text(text, cleaner_names) + for symbol in clean_text: + symbol_id = _symbol_to_id[symbol] + sequence += [symbol_id] + return sequence + + +def cleaned_text_to_sequence(cleaned_text): + """Converts a string of text to a sequence of IDs corresponding to the symbols in the text. + Args: + text: string to convert to a sequence + Returns: + List of integers corresponding to the symbols in the text + """ + sequence = [_symbol_to_id[symbol] for symbol in cleaned_text] + return sequence + + +def sequence_to_text(sequence): + """Converts a sequence of IDs back to a string""" + result = "" + for symbol_id in sequence: + s = _id_to_symbol[symbol_id] + result += s + return result + + +def _clean_text(text, cleaner_names): + for name in cleaner_names: + cleaner = getattr(cleaners, name) + if not cleaner: + raise Exception("Unknown cleaner: %s" % name) + text = cleaner(text) + return text diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/text/cleaners.py b/CosyVoice/third_party/Matcha-TTS/matcha/text/cleaners.py new file mode 100644 index 0000000000000000000000000000000000000000..5e8d96b681eb9f57356a1b86a7008e74b65ff44b --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/text/cleaners.py @@ -0,0 +1,116 @@ +""" from https://github.com/keithito/tacotron + +Cleaners are transformations that run over the input text at both training and eval time. + +Cleaners can be selected by passing a comma-delimited list of cleaner names as the "cleaners" +hyperparameter. Some cleaners are English-specific. You'll typically want to use: + 1. "english_cleaners" for English text + 2. "transliteration_cleaners" for non-English text that can be transliterated to ASCII using + the Unidecode library (https://pypi.python.org/pypi/Unidecode) + 3. "basic_cleaners" if you do not want to transliterate (in this case, you should also update + the symbols in symbols.py to match your data). +""" + +import logging +import re + +import phonemizer +import piper_phonemize +from unidecode import unidecode + +# To avoid excessive logging we set the log level of the phonemizer package to Critical +critical_logger = logging.getLogger("phonemizer") +critical_logger.setLevel(logging.CRITICAL) + +# Intializing the phonemizer globally significantly reduces the speed +# now the phonemizer is not initialising at every call +# Might be less flexible, but it is much-much faster +global_phonemizer = phonemizer.backend.EspeakBackend( + language="en-us", + preserve_punctuation=True, + with_stress=True, + language_switch="remove-flags", + logger=critical_logger, +) + + +# Regular expression matching whitespace: +_whitespace_re = re.compile(r"\s+") + +# List of (regular expression, replacement) pairs for abbreviations: +_abbreviations = [ + (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1]) + for x in [ + ("mrs", "misess"), + ("mr", "mister"), + ("dr", "doctor"), + ("st", "saint"), + ("co", "company"), + ("jr", "junior"), + ("maj", "major"), + ("gen", "general"), + ("drs", "doctors"), + ("rev", "reverend"), + ("lt", "lieutenant"), + ("hon", "honorable"), + ("sgt", "sergeant"), + ("capt", "captain"), + ("esq", "esquire"), + ("ltd", "limited"), + ("col", "colonel"), + ("ft", "fort"), + ] +] + + +def expand_abbreviations(text): + for regex, replacement in _abbreviations: + text = re.sub(regex, replacement, text) + return text + + +def lowercase(text): + return text.lower() + + +def collapse_whitespace(text): + return re.sub(_whitespace_re, " ", text) + + +def convert_to_ascii(text): + return unidecode(text) + + +def basic_cleaners(text): + """Basic pipeline that lowercases and collapses whitespace without transliteration.""" + text = lowercase(text) + text = collapse_whitespace(text) + return text + + +def transliteration_cleaners(text): + """Pipeline for non-English text that transliterates to ASCII.""" + text = convert_to_ascii(text) + text = lowercase(text) + text = collapse_whitespace(text) + return text + + +def english_cleaners2(text): + """Pipeline for English text, including abbreviation expansion. + punctuation + stress""" + text = convert_to_ascii(text) + text = lowercase(text) + text = expand_abbreviations(text) + phonemes = global_phonemizer.phonemize([text], strip=True, njobs=1)[0] + phonemes = collapse_whitespace(phonemes) + return phonemes + + +def english_cleaners_piper(text): + """Pipeline for English text, including abbreviation expansion. + punctuation + stress""" + text = convert_to_ascii(text) + text = lowercase(text) + text = expand_abbreviations(text) + phonemes = "".join(piper_phonemize.phonemize_espeak(text=text, voice="en-US")[0]) + phonemes = collapse_whitespace(phonemes) + return phonemes diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/text/numbers.py b/CosyVoice/third_party/Matcha-TTS/matcha/text/numbers.py new file mode 100644 index 0000000000000000000000000000000000000000..f99a8686dcb73532091122613e74bd643a8a327f --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/text/numbers.py @@ -0,0 +1,71 @@ +""" from https://github.com/keithito/tacotron """ + +import re + +import inflect + +_inflect = inflect.engine() +_comma_number_re = re.compile(r"([0-9][0-9\,]+[0-9])") +_decimal_number_re = re.compile(r"([0-9]+\.[0-9]+)") +_pounds_re = re.compile(r"£([0-9\,]*[0-9]+)") +_dollars_re = re.compile(r"\$([0-9\.\,]*[0-9]+)") +_ordinal_re = re.compile(r"[0-9]+(st|nd|rd|th)") +_number_re = re.compile(r"[0-9]+") + + +def _remove_commas(m): + return m.group(1).replace(",", "") + + +def _expand_decimal_point(m): + return m.group(1).replace(".", " point ") + + +def _expand_dollars(m): + match = m.group(1) + parts = match.split(".") + if len(parts) > 2: + return match + " dollars" + dollars = int(parts[0]) if parts[0] else 0 + cents = int(parts[1]) if len(parts) > 1 and parts[1] else 0 + if dollars and cents: + dollar_unit = "dollar" if dollars == 1 else "dollars" + cent_unit = "cent" if cents == 1 else "cents" + return f"{dollars} {dollar_unit}, {cents} {cent_unit}" + elif dollars: + dollar_unit = "dollar" if dollars == 1 else "dollars" + return f"{dollars} {dollar_unit}" + elif cents: + cent_unit = "cent" if cents == 1 else "cents" + return f"{cents} {cent_unit}" + else: + return "zero dollars" + + +def _expand_ordinal(m): + return _inflect.number_to_words(m.group(0)) + + +def _expand_number(m): + num = int(m.group(0)) + if num > 1000 and num < 3000: + if num == 2000: + return "two thousand" + elif num > 2000 and num < 2010: + return "two thousand " + _inflect.number_to_words(num % 100) + elif num % 100 == 0: + return _inflect.number_to_words(num // 100) + " hundred" + else: + return _inflect.number_to_words(num, andword="", zero="oh", group=2).replace(", ", " ") + else: + return _inflect.number_to_words(num, andword="") + + +def normalize_numbers(text): + text = re.sub(_comma_number_re, _remove_commas, text) + text = re.sub(_pounds_re, r"\1 pounds", text) + text = re.sub(_dollars_re, _expand_dollars, text) + text = re.sub(_decimal_number_re, _expand_decimal_point, text) + text = re.sub(_ordinal_re, _expand_ordinal, text) + text = re.sub(_number_re, _expand_number, text) + return text diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/text/symbols.py b/CosyVoice/third_party/Matcha-TTS/matcha/text/symbols.py new file mode 100644 index 0000000000000000000000000000000000000000..7018df549a1e50c3be20416069b6913c641024bd --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/text/symbols.py @@ -0,0 +1,17 @@ +""" from https://github.com/keithito/tacotron + +Defines the set of symbols used in text input to the model. +""" +_pad = "_" +_punctuation = ';:,.!?¡¿—…"«»“” ' +_letters = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz" +_letters_ipa = ( + "ɑɐɒæɓʙβɔɕçɗɖðʤəɘɚɛɜɝɞɟʄɡɠɢʛɦɧħɥʜɨɪʝɭɬɫɮʟɱɯɰŋɳɲɴøɵɸθœɶʘɹɺɾɻʀʁɽʂʃʈʧʉʊʋⱱʌɣɤʍχʎʏʑʐʒʔʡʕʢǀǁǂǃˈˌːˑʼʴʰʱʲʷˠˤ˞↓↑→↗↘'̩'ᵻ" +) + + +# Export all symbols: +symbols = [_pad] + list(_punctuation) + list(_letters) + list(_letters_ipa) + +# Special symbol ids +SPACE_ID = symbols.index(" ") diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/train.py b/CosyVoice/third_party/Matcha-TTS/matcha/train.py new file mode 100644 index 0000000000000000000000000000000000000000..d1d64c6c44af2622be5e6bf368616feb6619ed7e --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/train.py @@ -0,0 +1,122 @@ +from typing import Any, Dict, List, Optional, Tuple + +import hydra +import lightning as L +import rootutils +from lightning import Callback, LightningDataModule, LightningModule, Trainer +from lightning.pytorch.loggers import Logger +from omegaconf import DictConfig + +from matcha import utils + +rootutils.setup_root(__file__, indicator=".project-root", pythonpath=True) +# ------------------------------------------------------------------------------------ # +# the setup_root above is equivalent to: +# - adding project root dir to PYTHONPATH +# (so you don't need to force user to install project as a package) +# (necessary before importing any local modules e.g. `from src import utils`) +# - setting up PROJECT_ROOT environment variable +# (which is used as a base for paths in "configs/paths/default.yaml") +# (this way all filepaths are the same no matter where you run the code) +# - loading environment variables from ".env" in root dir +# +# you can remove it if you: +# 1. either install project as a package or move entry files to project root dir +# 2. set `root_dir` to "." in "configs/paths/default.yaml" +# +# more info: https://github.com/ashleve/rootutils +# ------------------------------------------------------------------------------------ # + + +log = utils.get_pylogger(__name__) + + +@utils.task_wrapper +def train(cfg: DictConfig) -> Tuple[Dict[str, Any], Dict[str, Any]]: + """Trains the model. Can additionally evaluate on a testset, using best weights obtained during + training. + + This method is wrapped in optional @task_wrapper decorator, that controls the behavior during + failure. Useful for multiruns, saving info about the crash, etc. + + :param cfg: A DictConfig configuration composed by Hydra. + :return: A tuple with metrics and dict with all instantiated objects. + """ + # set seed for random number generators in pytorch, numpy and python.random + if cfg.get("seed"): + L.seed_everything(cfg.seed, workers=True) + + log.info(f"Instantiating datamodule <{cfg.data._target_}>") # pylint: disable=protected-access + datamodule: LightningDataModule = hydra.utils.instantiate(cfg.data) + + log.info(f"Instantiating model <{cfg.model._target_}>") # pylint: disable=protected-access + model: LightningModule = hydra.utils.instantiate(cfg.model) + + log.info("Instantiating callbacks...") + callbacks: List[Callback] = utils.instantiate_callbacks(cfg.get("callbacks")) + + log.info("Instantiating loggers...") + logger: List[Logger] = utils.instantiate_loggers(cfg.get("logger")) + + log.info(f"Instantiating trainer <{cfg.trainer._target_}>") # pylint: disable=protected-access + trainer: Trainer = hydra.utils.instantiate(cfg.trainer, callbacks=callbacks, logger=logger) + + object_dict = { + "cfg": cfg, + "datamodule": datamodule, + "model": model, + "callbacks": callbacks, + "logger": logger, + "trainer": trainer, + } + + if logger: + log.info("Logging hyperparameters!") + utils.log_hyperparameters(object_dict) + + if cfg.get("train"): + log.info("Starting training!") + trainer.fit(model=model, datamodule=datamodule, ckpt_path=cfg.get("ckpt_path")) + + train_metrics = trainer.callback_metrics + + if cfg.get("test"): + log.info("Starting testing!") + ckpt_path = trainer.checkpoint_callback.best_model_path + if ckpt_path == "": + log.warning("Best ckpt not found! Using current weights for testing...") + ckpt_path = None + trainer.test(model=model, datamodule=datamodule, ckpt_path=ckpt_path) + log.info(f"Best ckpt path: {ckpt_path}") + + test_metrics = trainer.callback_metrics + + # merge train and test metrics + metric_dict = {**train_metrics, **test_metrics} + + return metric_dict, object_dict + + +@hydra.main(version_base="1.3", config_path="../configs", config_name="train.yaml") +def main(cfg: DictConfig) -> Optional[float]: + """Main entry point for training. + + :param cfg: DictConfig configuration composed by Hydra. + :return: Optional[float] with optimized metric value. + """ + # apply extra utilities + # (e.g. ask for tags if none are provided in cfg, print cfg tree, etc.) + utils.extras(cfg) + + # train the model + metric_dict, _ = train(cfg) + + # safely retrieve metric value for hydra-based hyperparameter optimization + metric_value = utils.get_metric_value(metric_dict=metric_dict, metric_name=cfg.get("optimized_metric")) + + # return optimized metric + return metric_value + + +if __name__ == "__main__": + main() # pylint: disable=no-value-for-parameter diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/utils/__init__.py b/CosyVoice/third_party/Matcha-TTS/matcha/utils/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..074db6461184e8cbb86d977cb41d9ebd918e958a --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/utils/__init__.py @@ -0,0 +1,5 @@ +from matcha.utils.instantiators import instantiate_callbacks, instantiate_loggers +from matcha.utils.logging_utils import log_hyperparameters +from matcha.utils.pylogger import get_pylogger +from matcha.utils.rich_utils import enforce_tags, print_config_tree +from matcha.utils.utils import extras, get_metric_value, task_wrapper diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/utils/audio.py b/CosyVoice/third_party/Matcha-TTS/matcha/utils/audio.py new file mode 100644 index 0000000000000000000000000000000000000000..0bcd74df47fb006f68deb5a5f4a4c2fb0aa84f57 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/utils/audio.py @@ -0,0 +1,82 @@ +import numpy as np +import torch +import torch.utils.data +from librosa.filters import mel as librosa_mel_fn +from scipy.io.wavfile import read + +MAX_WAV_VALUE = 32768.0 + + +def load_wav(full_path): + sampling_rate, data = read(full_path) + return data, sampling_rate + + +def dynamic_range_compression(x, C=1, clip_val=1e-5): + return np.log(np.clip(x, a_min=clip_val, a_max=None) * C) + + +def dynamic_range_decompression(x, C=1): + return np.exp(x) / C + + +def dynamic_range_compression_torch(x, C=1, clip_val=1e-5): + return torch.log(torch.clamp(x, min=clip_val) * C) + + +def dynamic_range_decompression_torch(x, C=1): + return torch.exp(x) / C + + +def spectral_normalize_torch(magnitudes): + output = dynamic_range_compression_torch(magnitudes) + return output + + +def spectral_de_normalize_torch(magnitudes): + output = dynamic_range_decompression_torch(magnitudes) + return output + + +mel_basis = {} +hann_window = {} + + +def mel_spectrogram(y, n_fft, num_mels, sampling_rate, hop_size, win_size, fmin, fmax, center=False): + if torch.min(y) < -1.0: + print("min value is ", torch.min(y)) + if torch.max(y) > 1.0: + print("max value is ", torch.max(y)) + + global mel_basis, hann_window # pylint: disable=global-statement + if f"{str(fmax)}_{str(y.device)}" not in mel_basis: + mel = librosa_mel_fn(sr=sampling_rate, n_fft=n_fft, n_mels=num_mels, fmin=fmin, fmax=fmax) + mel_basis[str(fmax) + "_" + str(y.device)] = torch.from_numpy(mel).float().to(y.device) + hann_window[str(y.device)] = torch.hann_window(win_size).to(y.device) + + y = torch.nn.functional.pad( + y.unsqueeze(1), (int((n_fft - hop_size) / 2), int((n_fft - hop_size) / 2)), mode="reflect" + ) + y = y.squeeze(1) + + spec = torch.view_as_real( + torch.stft( + y, + n_fft, + hop_length=hop_size, + win_length=win_size, + window=hann_window[str(y.device)], + center=center, + pad_mode="reflect", + normalized=False, + onesided=True, + return_complex=True, + ) + ) + + spec = torch.sqrt(spec.pow(2).sum(-1) + (1e-9)) + + spec = torch.matmul(mel_basis[str(fmax) + "_" + str(y.device)], spec) + spec = spectral_normalize_torch(spec) + + return spec diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/utils/generate_data_statistics.py b/CosyVoice/third_party/Matcha-TTS/matcha/utils/generate_data_statistics.py new file mode 100644 index 0000000000000000000000000000000000000000..96a5382296426803f1010385d184af7bfc901290 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/utils/generate_data_statistics.py @@ -0,0 +1,111 @@ +r""" +The file creates a pickle file where the values needed for loading of dataset is stored and the model can load it +when needed. + +Parameters from hparam.py will be used +""" +import argparse +import json +import os +import sys +from pathlib import Path + +import rootutils +import torch +from hydra import compose, initialize +from omegaconf import open_dict +from tqdm.auto import tqdm + +from matcha.data.text_mel_datamodule import TextMelDataModule +from matcha.utils.logging_utils import pylogger + +log = pylogger.get_pylogger(__name__) + + +def compute_data_statistics(data_loader: torch.utils.data.DataLoader, out_channels: int): + """Generate data mean and standard deviation helpful in data normalisation + + Args: + data_loader (torch.utils.data.Dataloader): _description_ + out_channels (int): mel spectrogram channels + """ + total_mel_sum = 0 + total_mel_sq_sum = 0 + total_mel_len = 0 + + for batch in tqdm(data_loader, leave=False): + mels = batch["y"] + mel_lengths = batch["y_lengths"] + + total_mel_len += torch.sum(mel_lengths) + total_mel_sum += torch.sum(mels) + total_mel_sq_sum += torch.sum(torch.pow(mels, 2)) + + data_mean = total_mel_sum / (total_mel_len * out_channels) + data_std = torch.sqrt((total_mel_sq_sum / (total_mel_len * out_channels)) - torch.pow(data_mean, 2)) + + return {"mel_mean": data_mean.item(), "mel_std": data_std.item()} + + +def main(): + parser = argparse.ArgumentParser() + + parser.add_argument( + "-i", + "--input-config", + type=str, + default="vctk.yaml", + help="The name of the yaml config file under configs/data", + ) + + parser.add_argument( + "-b", + "--batch-size", + type=int, + default="256", + help="Can have increased batch size for faster computation", + ) + + parser.add_argument( + "-f", + "--force", + action="store_true", + default=False, + required=False, + help="force overwrite the file", + ) + args = parser.parse_args() + output_file = Path(args.input_config).with_suffix(".json") + + if os.path.exists(output_file) and not args.force: + print("File already exists. Use -f to force overwrite") + sys.exit(1) + + with initialize(version_base="1.3", config_path="../../configs/data"): + cfg = compose(config_name=args.input_config, return_hydra_config=True, overrides=[]) + + root_path = rootutils.find_root(search_from=__file__, indicator=".project-root") + + with open_dict(cfg): + del cfg["hydra"] + del cfg["_target_"] + cfg["data_statistics"] = None + cfg["seed"] = 1234 + cfg["batch_size"] = args.batch_size + cfg["train_filelist_path"] = str(os.path.join(root_path, cfg["train_filelist_path"])) + cfg["valid_filelist_path"] = str(os.path.join(root_path, cfg["valid_filelist_path"])) + + text_mel_datamodule = TextMelDataModule(**cfg) + text_mel_datamodule.setup() + data_loader = text_mel_datamodule.train_dataloader() + log.info("Dataloader loaded! Now computing stats...") + params = compute_data_statistics(data_loader, cfg["n_feats"]) + print(params) + json.dump( + params, + open(output_file, "w"), + ) + + +if __name__ == "__main__": + main() diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/utils/instantiators.py b/CosyVoice/third_party/Matcha-TTS/matcha/utils/instantiators.py new file mode 100644 index 0000000000000000000000000000000000000000..5547b4ed61ed8c21e63c528f58526a949879a94f --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/utils/instantiators.py @@ -0,0 +1,56 @@ +from typing import List + +import hydra +from lightning import Callback +from lightning.pytorch.loggers import Logger +from omegaconf import DictConfig + +from matcha.utils import pylogger + +log = pylogger.get_pylogger(__name__) + + +def instantiate_callbacks(callbacks_cfg: DictConfig) -> List[Callback]: + """Instantiates callbacks from config. + + :param callbacks_cfg: A DictConfig object containing callback configurations. + :return: A list of instantiated callbacks. + """ + callbacks: List[Callback] = [] + + if not callbacks_cfg: + log.warning("No callback configs found! Skipping..") + return callbacks + + if not isinstance(callbacks_cfg, DictConfig): + raise TypeError("Callbacks config must be a DictConfig!") + + for _, cb_conf in callbacks_cfg.items(): + if isinstance(cb_conf, DictConfig) and "_target_" in cb_conf: + log.info(f"Instantiating callback <{cb_conf._target_}>") # pylint: disable=protected-access + callbacks.append(hydra.utils.instantiate(cb_conf)) + + return callbacks + + +def instantiate_loggers(logger_cfg: DictConfig) -> List[Logger]: + """Instantiates loggers from config. + + :param logger_cfg: A DictConfig object containing logger configurations. + :return: A list of instantiated loggers. + """ + logger: List[Logger] = [] + + if not logger_cfg: + log.warning("No logger configs found! Skipping...") + return logger + + if not isinstance(logger_cfg, DictConfig): + raise TypeError("Logger config must be a DictConfig!") + + for _, lg_conf in logger_cfg.items(): + if isinstance(lg_conf, DictConfig) and "_target_" in lg_conf: + log.info(f"Instantiating logger <{lg_conf._target_}>") # pylint: disable=protected-access + logger.append(hydra.utils.instantiate(lg_conf)) + + return logger diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/utils/logging_utils.py b/CosyVoice/third_party/Matcha-TTS/matcha/utils/logging_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..1a12d1ddafa25ca3ae8e497bcd7de2191f13659b --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/utils/logging_utils.py @@ -0,0 +1,53 @@ +from typing import Any, Dict + +from lightning.pytorch.utilities import rank_zero_only +from omegaconf import OmegaConf + +from matcha.utils import pylogger + +log = pylogger.get_pylogger(__name__) + + +@rank_zero_only +def log_hyperparameters(object_dict: Dict[str, Any]) -> None: + """Controls which config parts are saved by Lightning loggers. + + Additionally saves: + - Number of model parameters + + :param object_dict: A dictionary containing the following objects: + - `"cfg"`: A DictConfig object containing the main config. + - `"model"`: The Lightning model. + - `"trainer"`: The Lightning trainer. + """ + hparams = {} + + cfg = OmegaConf.to_container(object_dict["cfg"]) + model = object_dict["model"] + trainer = object_dict["trainer"] + + if not trainer.logger: + log.warning("Logger not found! Skipping hyperparameter logging...") + return + + hparams["model"] = cfg["model"] + + # save number of model parameters + hparams["model/params/total"] = sum(p.numel() for p in model.parameters()) + hparams["model/params/trainable"] = sum(p.numel() for p in model.parameters() if p.requires_grad) + hparams["model/params/non_trainable"] = sum(p.numel() for p in model.parameters() if not p.requires_grad) + + hparams["data"] = cfg["data"] + hparams["trainer"] = cfg["trainer"] + + hparams["callbacks"] = cfg.get("callbacks") + hparams["extras"] = cfg.get("extras") + + hparams["task_name"] = cfg.get("task_name") + hparams["tags"] = cfg.get("tags") + hparams["ckpt_path"] = cfg.get("ckpt_path") + hparams["seed"] = cfg.get("seed") + + # send hparams to all loggers + for logger in trainer.loggers: + logger.log_hyperparams(hparams) diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/utils/model.py b/CosyVoice/third_party/Matcha-TTS/matcha/utils/model.py new file mode 100644 index 0000000000000000000000000000000000000000..869cc6092f5952930534c47544fae88308e96abf --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/utils/model.py @@ -0,0 +1,90 @@ +""" from https://github.com/jaywalnut310/glow-tts """ + +import numpy as np +import torch + + +def sequence_mask(length, max_length=None): + if max_length is None: + max_length = length.max() + x = torch.arange(max_length, dtype=length.dtype, device=length.device) + return x.unsqueeze(0) < length.unsqueeze(1) + + +def fix_len_compatibility(length, num_downsamplings_in_unet=2): + factor = torch.scalar_tensor(2).pow(num_downsamplings_in_unet) + length = (length / factor).ceil() * factor + if not torch.onnx.is_in_onnx_export(): + return length.int().item() + else: + return length + + +def convert_pad_shape(pad_shape): + inverted_shape = pad_shape[::-1] + pad_shape = [item for sublist in inverted_shape for item in sublist] + return pad_shape + + +def generate_path(duration, mask): + device = duration.device + + b, t_x, t_y = mask.shape + cum_duration = torch.cumsum(duration, 1) + path = torch.zeros(b, t_x, t_y, dtype=mask.dtype).to(device=device) + + cum_duration_flat = cum_duration.view(b * t_x) + path = sequence_mask(cum_duration_flat, t_y).to(mask.dtype) + path = path.view(b, t_x, t_y) + path = path - torch.nn.functional.pad(path, convert_pad_shape([[0, 0], [1, 0], [0, 0]]))[:, :-1] + path = path * mask + return path + + +def duration_loss(logw, logw_, lengths): + loss = torch.sum((logw - logw_) ** 2) / torch.sum(lengths) + return loss + + +def normalize(data, mu, std): + if not isinstance(mu, (float, int)): + if isinstance(mu, list): + mu = torch.tensor(mu, dtype=data.dtype, device=data.device) + elif isinstance(mu, torch.Tensor): + mu = mu.to(data.device) + elif isinstance(mu, np.ndarray): + mu = torch.from_numpy(mu).to(data.device) + mu = mu.unsqueeze(-1) + + if not isinstance(std, (float, int)): + if isinstance(std, list): + std = torch.tensor(std, dtype=data.dtype, device=data.device) + elif isinstance(std, torch.Tensor): + std = std.to(data.device) + elif isinstance(std, np.ndarray): + std = torch.from_numpy(std).to(data.device) + std = std.unsqueeze(-1) + + return (data - mu) / std + + +def denormalize(data, mu, std): + if not isinstance(mu, float): + if isinstance(mu, list): + mu = torch.tensor(mu, dtype=data.dtype, device=data.device) + elif isinstance(mu, torch.Tensor): + mu = mu.to(data.device) + elif isinstance(mu, np.ndarray): + mu = torch.from_numpy(mu).to(data.device) + mu = mu.unsqueeze(-1) + + if not isinstance(std, float): + if isinstance(std, list): + std = torch.tensor(std, dtype=data.dtype, device=data.device) + elif isinstance(std, torch.Tensor): + std = std.to(data.device) + elif isinstance(std, np.ndarray): + std = torch.from_numpy(std).to(data.device) + std = std.unsqueeze(-1) + + return data * std + mu diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/utils/monotonic_align/__init__.py b/CosyVoice/third_party/Matcha-TTS/matcha/utils/monotonic_align/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..eee6e0d47c2e3612ef02bc17442e6886998e5a94 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/utils/monotonic_align/__init__.py @@ -0,0 +1,22 @@ +import numpy as np +import torch + +from matcha.utils.monotonic_align.core import maximum_path_c + + +def maximum_path(value, mask): + """Cython optimised version. + value: [b, t_x, t_y] + mask: [b, t_x, t_y] + """ + value = value * mask + device = value.device + dtype = value.dtype + value = value.data.cpu().numpy().astype(np.float32) + path = np.zeros_like(value).astype(np.int32) + mask = mask.data.cpu().numpy() + + t_x_max = mask.sum(1)[:, 0].astype(np.int32) + t_y_max = mask.sum(2)[:, 0].astype(np.int32) + maximum_path_c(path, value, t_x_max, t_y_max) + return torch.from_numpy(path).to(device=device, dtype=dtype) diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/utils/monotonic_align/core.pyx b/CosyVoice/third_party/Matcha-TTS/matcha/utils/monotonic_align/core.pyx new file mode 100644 index 0000000000000000000000000000000000000000..091fcc3a50a51f3d3fee47a70825260757e6d885 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/utils/monotonic_align/core.pyx @@ -0,0 +1,47 @@ +import numpy as np + +cimport cython +cimport numpy as np + +from cython.parallel import prange + + +@cython.boundscheck(False) +@cython.wraparound(False) +cdef void maximum_path_each(int[:,::1] path, float[:,::1] value, int t_x, int t_y, float max_neg_val) nogil: + cdef int x + cdef int y + cdef float v_prev + cdef float v_cur + cdef float tmp + cdef int index = t_x - 1 + + for y in range(t_y): + for x in range(max(0, t_x + y - t_y), min(t_x, y + 1)): + if x == y: + v_cur = max_neg_val + else: + v_cur = value[x, y-1] + if x == 0: + if y == 0: + v_prev = 0. + else: + v_prev = max_neg_val + else: + v_prev = value[x-1, y-1] + value[x, y] = max(v_cur, v_prev) + value[x, y] + + for y in range(t_y - 1, -1, -1): + path[index, y] = 1 + if index != 0 and (index == y or value[index, y-1] < value[index-1, y-1]): + index = index - 1 + + +@cython.boundscheck(False) +@cython.wraparound(False) +cpdef void maximum_path_c(int[:,:,::1] paths, float[:,:,::1] values, int[::1] t_xs, int[::1] t_ys, float max_neg_val=-1e9) nogil: + cdef int b = values.shape[0] + + cdef int i + for i in prange(b, nogil=True): + maximum_path_each(paths[i], values[i], t_xs[i], t_ys[i], max_neg_val) diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/utils/monotonic_align/setup.py b/CosyVoice/third_party/Matcha-TTS/matcha/utils/monotonic_align/setup.py new file mode 100644 index 0000000000000000000000000000000000000000..f22bc6a35a5a04c9e6d7b82040973722c9b770c9 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/utils/monotonic_align/setup.py @@ -0,0 +1,7 @@ +# from distutils.core import setup +# from Cython.Build import cythonize +# import numpy + +# setup(name='monotonic_align', +# ext_modules=cythonize("core.pyx"), +# include_dirs=[numpy.get_include()]) diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/utils/pylogger.py b/CosyVoice/third_party/Matcha-TTS/matcha/utils/pylogger.py new file mode 100644 index 0000000000000000000000000000000000000000..61600678029362e110f655edb91d5f3bc5b1cd1c --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/utils/pylogger.py @@ -0,0 +1,21 @@ +import logging + +from lightning.pytorch.utilities import rank_zero_only + + +def get_pylogger(name: str = __name__) -> logging.Logger: + """Initializes a multi-GPU-friendly python command line logger. + + :param name: The name of the logger, defaults to ``__name__``. + + :return: A logger object. + """ + logger = logging.getLogger(name) + + # this ensures all logging levels get marked with the rank zero decorator + # otherwise logs would get multiplied for each GPU process in multi-GPU setup + logging_levels = ("debug", "info", "warning", "error", "exception", "fatal", "critical") + for level in logging_levels: + setattr(logger, level, rank_zero_only(getattr(logger, level))) + + return logger diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/utils/rich_utils.py b/CosyVoice/third_party/Matcha-TTS/matcha/utils/rich_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..f602f6e9351d948946eb419eb4e420190ea634bc --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/utils/rich_utils.py @@ -0,0 +1,101 @@ +from pathlib import Path +from typing import Sequence + +import rich +import rich.syntax +import rich.tree +from hydra.core.hydra_config import HydraConfig +from lightning.pytorch.utilities import rank_zero_only +from omegaconf import DictConfig, OmegaConf, open_dict +from rich.prompt import Prompt + +from matcha.utils import pylogger + +log = pylogger.get_pylogger(__name__) + + +@rank_zero_only +def print_config_tree( + cfg: DictConfig, + print_order: Sequence[str] = ( + "data", + "model", + "callbacks", + "logger", + "trainer", + "paths", + "extras", + ), + resolve: bool = False, + save_to_file: bool = False, +) -> None: + """Prints the contents of a DictConfig as a tree structure using the Rich library. + + :param cfg: A DictConfig composed by Hydra. + :param print_order: Determines in what order config components are printed. Default is ``("data", "model", + "callbacks", "logger", "trainer", "paths", "extras")``. + :param resolve: Whether to resolve reference fields of DictConfig. Default is ``False``. + :param save_to_file: Whether to export config to the hydra output folder. Default is ``False``. + """ + style = "dim" + tree = rich.tree.Tree("CONFIG", style=style, guide_style=style) + + queue = [] + + # add fields from `print_order` to queue + for field in print_order: + _ = ( + queue.append(field) + if field in cfg + else log.warning(f"Field '{field}' not found in config. Skipping '{field}' config printing...") + ) + + # add all the other fields to queue (not specified in `print_order`) + for field in cfg: + if field not in queue: + queue.append(field) + + # generate config tree from queue + for field in queue: + branch = tree.add(field, style=style, guide_style=style) + + config_group = cfg[field] + if isinstance(config_group, DictConfig): + branch_content = OmegaConf.to_yaml(config_group, resolve=resolve) + else: + branch_content = str(config_group) + + branch.add(rich.syntax.Syntax(branch_content, "yaml")) + + # print config tree + rich.print(tree) + + # save config tree to file + if save_to_file: + with open(Path(cfg.paths.output_dir, "config_tree.log"), "w") as file: + rich.print(tree, file=file) + + +@rank_zero_only +def enforce_tags(cfg: DictConfig, save_to_file: bool = False) -> None: + """Prompts user to input tags from command line if no tags are provided in config. + + :param cfg: A DictConfig composed by Hydra. + :param save_to_file: Whether to export tags to the hydra output folder. Default is ``False``. + """ + if not cfg.get("tags"): + if "id" in HydraConfig().cfg.hydra.job: + raise ValueError("Specify tags before launching a multirun!") + + log.warning("No tags provided in config. Prompting user to input tags...") + tags = Prompt.ask("Enter a list of comma separated tags", default="dev") + tags = [t.strip() for t in tags.split(",") if t != ""] + + with open_dict(cfg): + cfg.tags = tags + + log.info(f"Tags: {cfg.tags}") + + if save_to_file: + with open(Path(cfg.paths.output_dir, "tags.log"), "w") as file: + rich.print(cfg.tags, file=file) diff --git a/CosyVoice/third_party/Matcha-TTS/matcha/utils/utils.py b/CosyVoice/third_party/Matcha-TTS/matcha/utils/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..af65e09070b4a4786ad139ec6e3d57d5ef578204 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/matcha/utils/utils.py @@ -0,0 +1,219 @@ +import os +import sys +import warnings +from importlib.util import find_spec +from pathlib import Path +from typing import Any, Callable, Dict, Tuple + +import gdown +import matplotlib.pyplot as plt +import numpy as np +import torch +import wget +from omegaconf import DictConfig + +from matcha.utils import pylogger, rich_utils + +log = pylogger.get_pylogger(__name__) + + +def extras(cfg: DictConfig) -> None: + """Applies optional utilities before the task is started. + + Utilities: + - Ignoring python warnings + - Setting tags from command line + - Rich config printing + + :param cfg: A DictConfig object containing the config tree. + """ + # return if no `extras` config + if not cfg.get("extras"): + log.warning("Extras config not found! ") + return + + # disable python warnings + if cfg.extras.get("ignore_warnings"): + log.info("Disabling python warnings! ") + warnings.filterwarnings("ignore") + + # prompt user to input tags from command line if none are provided in the config + if cfg.extras.get("enforce_tags"): + log.info("Enforcing tags! ") + rich_utils.enforce_tags(cfg, save_to_file=True) + + # pretty print config tree using Rich library + if cfg.extras.get("print_config"): + log.info("Printing config tree with Rich! ") + rich_utils.print_config_tree(cfg, resolve=True, save_to_file=True) + + +def task_wrapper(task_func: Callable) -> Callable: + """Optional decorator that controls the failure behavior when executing the task function. + + This wrapper can be used to: + - make sure loggers are closed even if the task function raises an exception (prevents multirun failure) + - save the exception to a `.log` file + - mark the run as failed with a dedicated file in the `logs/` folder (so we can find and rerun it later) + - etc. (adjust depending on your needs) + + Example: + ``` + @utils.task_wrapper + def train(cfg: DictConfig) -> Tuple[Dict[str, Any], Dict[str, Any]]: + ... + return metric_dict, object_dict + ``` + + :param task_func: The task function to be wrapped. + + :return: The wrapped task function. + """ + + def wrap(cfg: DictConfig) -> Tuple[Dict[str, Any], Dict[str, Any]]: + # execute the task + try: + metric_dict, object_dict = task_func(cfg=cfg) + + # things to do if exception occurs + except Exception as ex: + # save exception to `.log` file + log.exception("") + + # some hyperparameter combinations might be invalid or cause out-of-memory errors + # so when using hparam search plugins like Optuna, you might want to disable + # raising the below exception to avoid multirun failure + raise ex + + # things to always do after either success or exception + finally: + # display output dir path in terminal + log.info(f"Output dir: {cfg.paths.output_dir}") + + # always close wandb run (even if exception occurs so multirun won't fail) + if find_spec("wandb"): # check if wandb is installed + import wandb + + if wandb.run: + log.info("Closing wandb!") + wandb.finish() + + return metric_dict, object_dict + + return wrap + + +def get_metric_value(metric_dict: Dict[str, Any], metric_name: str) -> float: + """Safely retrieves value of the metric logged in LightningModule. + + :param metric_dict: A dict containing metric values. + :param metric_name: The name of the metric to retrieve. + :return: The value of the metric. + """ + if not metric_name: + log.info("Metric name is None! Skipping metric value retrieval...") + return None + + if metric_name not in metric_dict: + raise ValueError( + f"Metric value not found! \n" + "Make sure metric name logged in LightningModule is correct!\n" + "Make sure `optimized_metric` name in `hparams_search` config is correct!" + ) + + metric_value = metric_dict[metric_name].item() + log.info(f"Retrieved metric value! <{metric_name}={metric_value}>") + + return metric_value + + +def intersperse(lst, item): + # Adds blank symbol + result = [item] * (len(lst) * 2 + 1) + result[1::2] = lst + return result + + +def save_figure_to_numpy(fig): + data = np.fromstring(fig.canvas.tostring_rgb(), dtype=np.uint8, sep="") + data = data.reshape(fig.canvas.get_width_height()[::-1] + (3,)) + return data + + +def plot_tensor(tensor): + plt.style.use("default") + fig, ax = plt.subplots(figsize=(12, 3)) + im = ax.imshow(tensor, aspect="auto", origin="lower", interpolation="none") + plt.colorbar(im, ax=ax) + plt.tight_layout() + fig.canvas.draw() + data = save_figure_to_numpy(fig) + plt.close() + return data + + +def save_plot(tensor, savepath): + plt.style.use("default") + fig, ax = plt.subplots(figsize=(12, 3)) + im = ax.imshow(tensor, aspect="auto", origin="lower", interpolation="none") + plt.colorbar(im, ax=ax) + plt.tight_layout() + fig.canvas.draw() + plt.savefig(savepath) + plt.close() + + +def to_numpy(tensor): + if isinstance(tensor, np.ndarray): + return tensor + elif isinstance(tensor, torch.Tensor): + return tensor.detach().cpu().numpy() + elif isinstance(tensor, list): + return np.array(tensor) + else: + raise TypeError("Unsupported type for conversion to numpy array") + + +def get_user_data_dir(appname="matcha_tts"): + """ + Args: + appname (str): Name of application + + Returns: + Path: path to user data directory + """ + + MATCHA_HOME = os.environ.get("MATCHA_HOME") + if MATCHA_HOME is not None: + ans = Path(MATCHA_HOME).expanduser().resolve(strict=False) + elif sys.platform == "win32": + import winreg # pylint: disable=import-outside-toplevel + + key = winreg.OpenKey( + winreg.HKEY_CURRENT_USER, + r"Software\Microsoft\Windows\CurrentVersion\Explorer\Shell Folders", + ) + dir_, _ = winreg.QueryValueEx(key, "Local AppData") + ans = Path(dir_).resolve(strict=False) + elif sys.platform == "darwin": + ans = Path("~/Library/Application Support/").expanduser() + else: + ans = Path.home().joinpath(".local/share") + + final_path = ans.joinpath(appname) + final_path.mkdir(parents=True, exist_ok=True) + return final_path + + +def assert_model_downloaded(checkpoint_path, url, use_wget=True): + if Path(checkpoint_path).exists(): + log.debug(f"[+] Model already present at {checkpoint_path}!") + print(f"[+] Model already present at {checkpoint_path}!") + return + log.info(f"[-] Model not found at {checkpoint_path}! Will download it") + print(f"[-] Model not found at {checkpoint_path}! Will download it") + checkpoint_path = str(checkpoint_path) + if not use_wget: + gdown.download(url=url, output=checkpoint_path, quiet=False, fuzzy=True) + else: + wget.download(url=url, out=checkpoint_path) diff --git a/CosyVoice/third_party/Matcha-TTS/notebooks/.gitkeep b/CosyVoice/third_party/Matcha-TTS/notebooks/.gitkeep new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/CosyVoice/third_party/Matcha-TTS/pyproject.toml b/CosyVoice/third_party/Matcha-TTS/pyproject.toml new file mode 100644 index 0000000000000000000000000000000000000000..74aa39300a61b8b3607dc634d68aa47013141ec5 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/pyproject.toml @@ -0,0 +1,51 @@ +[build-system] +requires = ["setuptools", "wheel", "cython==0.29.35", "numpy==1.24.3", "packaging"] + +[tool.black] +line-length = 120 +target-version = ['py310'] +exclude = ''' + +( + /( + \.eggs # exclude a few common directories in the + | \.git # root of the project + | \.hg + | \.mypy_cache + | \.tox + | \.venv + | _build + | buck-out + | build + | dist + )/ + | foo.py # also separately exclude a file named foo.py in + # the root of the project +) +''' + +[tool.pytest.ini_options] +addopts = [ + "--color=yes", + "--durations=0", + "--strict-markers", + "--doctest-modules", +] +filterwarnings = [ + "ignore::DeprecationWarning", + "ignore::UserWarning", +] +log_cli = "True" +markers = [ + "slow: slow tests", +] +minversion = "6.0" +testpaths = "tests/" + +[tool.coverage.report] +exclude_lines = [ + "pragma: nocover", + "raise NotImplementedError", + "raise NotImplementedError()", + "if __name__ == .__main__.:", +] diff --git a/CosyVoice/third_party/Matcha-TTS/requirements.txt b/CosyVoice/third_party/Matcha-TTS/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e14a532cb14f99190404472915213940bfad4b9 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/requirements.txt @@ -0,0 +1,45 @@ +# --------- pytorch --------- # +torch>=2.0.0 +torchvision>=0.15.0 +lightning>=2.0.0 +torchmetrics>=0.11.4 + +# --------- hydra --------- # +hydra-core==1.3.2 +hydra-colorlog==1.2.0 +hydra-optuna-sweeper==1.2.0 + +# --------- loggers --------- # +# wandb +# neptune-client +# mlflow +# comet-ml +# aim>=3.16.2 # no lower than 3.16.2, see https://github.com/aimhubio/aim/issues/2550 + +# --------- others --------- # +rootutils # standardizing the project root setup +pre-commit # hooks for applying linters on commit +rich # beautiful text formatting in terminal +pytest # tests +# sh # for running bash commands in some tests (linux/macos only) +phonemizer # phonemization of text +tensorboard +librosa +Cython +numpy +einops +inflect +Unidecode +scipy +torchaudio +matplotlib +pandas +conformer==0.3.2 +diffusers==0.25.0 +notebook +ipywidgets +gradio==3.43.2 +gdown +wget +seaborn +piper_phonemize diff --git a/CosyVoice/third_party/Matcha-TTS/scripts/schedule.sh b/CosyVoice/third_party/Matcha-TTS/scripts/schedule.sh new file mode 100644 index 0000000000000000000000000000000000000000..44b3da1116ef4d54e9acffee7d639d549e136d45 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/scripts/schedule.sh @@ -0,0 +1,7 @@ +#!/bin/bash +# Schedule execution of many runs +# Run from root folder with: bash scripts/schedule.sh + +python src/train.py trainer.max_epochs=5 logger=csv + +python src/train.py trainer.max_epochs=10 logger=csv diff --git a/CosyVoice/third_party/Matcha-TTS/setup.py b/CosyVoice/third_party/Matcha-TTS/setup.py new file mode 100644 index 0000000000000000000000000000000000000000..80d4aac04c6cd36859c5d753468ef2e105770098 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/setup.py @@ -0,0 +1,45 @@ +#!/usr/bin/env python +import os + +import numpy +from Cython.Build import cythonize +from setuptools import Extension, find_packages, setup + +exts = [ + Extension( + name="matcha.utils.monotonic_align.core", + sources=["matcha/utils/monotonic_align/core.pyx"], + ) +] + +with open("README.md", encoding="utf-8") as readme_file: + README = readme_file.read() + +cwd = os.path.dirname(os.path.abspath(__file__)) +with open(os.path.join(cwd, "matcha", "VERSION")) as fin: + version = fin.read().strip() + +setup( + name="matcha-tts", + version=version, + description="🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching", + long_description=README, + long_description_content_type="text/markdown", + author="Shivam Mehta", + author_email="shivam.mehta25@gmail.com", + url="https://shivammehta25.github.io/Matcha-TTS", + install_requires=[str(r) for r in open(os.path.join(os.path.dirname(__file__), "requirements.txt"))], + include_dirs=[numpy.get_include()], + include_package_data=True, + packages=find_packages(exclude=["tests", "tests/*", "examples", "examples/*"]), + # use this to customize global commands available in the terminal after installing the package + entry_points={ + "console_scripts": [ + "matcha-data-stats=matcha.utils.generate_data_statistics:main", + "matcha-tts=matcha.cli:cli", + "matcha-tts-app=matcha.app:main", + ] + }, + ext_modules=cythonize(exts, language_level=3), + python_requires=">=3.9.0", +) diff --git a/CosyVoice/third_party/Matcha-TTS/synthesis.ipynb b/CosyVoice/third_party/Matcha-TTS/synthesis.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..dfbde30b5ad98f1368be3aa181145a4eac97da93 --- /dev/null +++ b/CosyVoice/third_party/Matcha-TTS/synthesis.ipynb @@ -0,0 +1,419 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "f37f4e3b-f764-4502-a6a2-6417bd9bfab9", + "metadata": {}, + "source": [ + "# Matcha-TTS: A fast TTS architecture with conditional flow matching\n", + "---\n", + "[Shivam Mehta](https://www.kth.se/profile/smehta), [Ruibo Tu](https://www.kth.se/profile/ruibo), [Jonas Beskow](https://www.kth.se/profile/beskow), [Éva Székely](https://www.kth.se/profile/szekely), and [Gustav Eje Henter](https://people.kth.se/~ghe/)\n", + "\n", + "We introduce Matcha-TTS, a new encoder-decoder architecture for speedy TTS acoustic modelling, trained using optimal-transport conditional flow matching (OT-CFM). This yields an ODE-based decoder capable of high output quality in fewer synthesis steps than models trained using score matching. Careful design choices additionally ensure each synthesis step is fast to run. The method is probabilistic, non-autoregressive, and learns to speak from scratch without external alignments. Compared to strong pre-trained baseline models, the Matcha-TTS system has the smallest memory footprint, rivals the speed of the fastest models on long utterances, and attains the highest mean opinion score in a listening test.\n", + "\n", + "Demo Page: https://shivammehta25.github.io/Matcha-TTS \\\n", + "Code: https://github.com/shivammehta25/Matcha-TTS\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "148f4bc0-c28e-4670-9a5e-4c7928ab8992", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "env: CUDA_VISIBLE_DEVICES=0\n" + ] + } + ], + "source": [ + "%env CUDA_VISIBLE_DEVICES=0" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "8d5876c0-b47e-4c80-9e9c-62550f81b64e", + "metadata": {}, + "outputs": [], + "source": [ + "import datetime as dt\n", + "from pathlib import Path\n", + "\n", + "import IPython.display as ipd\n", + "import numpy as np\n", + "import soundfile as sf\n", + "import torch\n", + "from tqdm.auto import tqdm\n", + "\n", + "# Hifigan imports\n", + "from matcha.hifigan.config import v1\n", + "from matcha.hifigan.denoiser import Denoiser\n", + "from matcha.hifigan.env import AttrDict\n", + "from matcha.hifigan.models import Generator as HiFiGAN\n", + "# Matcha imports\n", + "from matcha.models.matcha_tts import MatchaTTS\n", + "from matcha.text import sequence_to_text, text_to_sequence\n", + "from matcha.utils.model import denormalize\n", + "from matcha.utils.utils import get_user_data_dir, intersperse" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "b1a30306-588c-4f22-8d9b-e2676880b0e5", + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2\n", + "%matplotlib inline\n", + "# This allows for real time code changes being reflected in the notebook, no need to restart the kernel" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "a312856b-01a9-4d75-a4c8-4666dffa0692", + "metadata": {}, + "outputs": [], + "source": [ + "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")" + ] + }, + { + "cell_type": "markdown", + "id": "88f3b3c3-d014-443b-84eb-e143cdec3e21", + "metadata": {}, + "source": [ + "## Filepaths" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "7640a4c1-44ce-447c-a8ff-45012fb7bddd", + "metadata": {}, + "outputs": [], + "source": [ + "MATCHA_CHECKPOINT = get_user_data_dir()/\"matcha_ljspeech.ckpt\"\n", + "HIFIGAN_CHECKPOINT = get_user_data_dir() / \"hifigan_T2_v1\"\n", + "OUTPUT_FOLDER = \"synth_output\"" + ] + }, + { + "cell_type": "markdown", + "id": "6477a3a9-71f2-4d2f-bb86-bdf3e31c2461", + "metadata": {}, + "source": [ + "## Load Matcha-TTS" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "26a16230-04ba-4825-a844-2fb5ab945e24", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model loaded! Parameter count: 18,204,193\n" + ] + } + ], + "source": [ + "def load_model(checkpoint_path):\n", + " model = MatchaTTS.load_from_checkpoint(checkpoint_path, map_location=device)\n", + " model.eval()\n", + " return model\n", + "count_params = lambda x: f\"{sum(p.numel() for p in x.parameters()):,}\"\n", + "\n", + "\n", + "model = load_model(MATCHA_CHECKPOINT)\n", + "print(f\"Model loaded! Parameter count: {count_params(model)}\")" + ] + }, + { + "cell_type": "markdown", + "id": "3077b84b-e3b6-42e1-a84b-2f7084b13f92", + "metadata": {}, + "source": [ + "## Load HiFi-GAN (Vocoder)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "f6b68184-968d-4868-9029-f0c40e9e68af", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Removing weight norm...\n" + ] + } + ], + "source": [ + "def load_vocoder(checkpoint_path):\n", + " h = AttrDict(v1)\n", + " hifigan = HiFiGAN(h).to(device)\n", + " hifigan.load_state_dict(torch.load(checkpoint_path, map_location=device)['generator'])\n", + " _ = hifigan.eval()\n", + " hifigan.remove_weight_norm()\n", + " return hifigan\n", + "\n", + "vocoder = load_vocoder(HIFIGAN_CHECKPOINT)\n", + "denoiser = Denoiser(vocoder, mode='zeros')" + ] + }, + { + "cell_type": "markdown", + "id": "4cbc2ba0-09ff-40e2-9e60-6b77b534f9fb", + "metadata": {}, + "source": [ + "### Helper functions to synthesise" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "880a1879-24fd-4757-849c-850339120796", + "metadata": {}, + "outputs": [], + "source": [ + "@torch.inference_mode()\n", + "def process_text(text: str):\n", + " x = torch.tensor(intersperse(text_to_sequence(text, ['english_cleaners2']), 0),dtype=torch.long, device=device)[None]\n", + " x_lengths = torch.tensor([x.shape[-1]],dtype=torch.long, device=device)\n", + " x_phones = sequence_to_text(x.squeeze(0).tolist())\n", + " return {\n", + " 'x_orig': text,\n", + " 'x': x,\n", + " 'x_lengths': x_lengths,\n", + " 'x_phones': x_phones\n", + " }\n", + "\n", + "\n", + "@torch.inference_mode()\n", + "def synthesise(text, spks=None):\n", + " text_processed = process_text(text)\n", + " start_t = dt.datetime.now()\n", + " output = model.synthesise(\n", + " text_processed['x'], \n", + " text_processed['x_lengths'],\n", + " n_timesteps=n_timesteps,\n", + " temperature=temperature,\n", + " spks=spks,\n", + " length_scale=length_scale\n", + " )\n", + " # merge everything to one dict \n", + " output.update({'start_t': start_t, **text_processed})\n", + " return output\n", + "\n", + "@torch.inference_mode()\n", + "def to_waveform(mel, vocoder):\n", + " audio = vocoder(mel).clamp(-1, 1)\n", + " audio = denoiser(audio.squeeze(0), strength=0.00025).cpu().squeeze()\n", + " return audio.cpu().squeeze()\n", + " \n", + "def save_to_folder(filename: str, output: dict, folder: str):\n", + " folder = Path(folder)\n", + " folder.mkdir(exist_ok=True, parents=True)\n", + " np.save(folder / f'{filename}', output['mel'].cpu().numpy())\n", + " sf.write(folder / f'{filename}.wav', output['waveform'], 22050, 'PCM_24')" + ] + }, + { + "cell_type": "markdown", + "id": "78f857e3-2ef7-4c86-b776-596c4d3cf875", + "metadata": {}, + "source": [ + "## Setup text to synthesise" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "2e0a9acd-0845-4192-ba09-b9683e28a3ac", + "metadata": {}, + "outputs": [], + "source": [ + "texts = [\n", + " \"The Secret Service believed that it was very doubtful that any President would ride regularly in a vehicle with a fixed top, even though transparent.\"\n", + "]" + ] + }, + { + "cell_type": "markdown", + "id": "a9da9e2d-99b9-4c6f-8a08-c828e2cba121", + "metadata": {}, + "source": [ + "### Hyperparameters" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "f0d216e5-4895-4da8-9d24-9e61021d2556", + "metadata": {}, + "outputs": [], + "source": [ + "## Number of ODE Solver steps\n", + "n_timesteps = 10\n", + "\n", + "## Changes to the speaking rate\n", + "length_scale=1.0\n", + "\n", + "## Sampling temperature\n", + "temperature = 0.667" + ] + }, + { + "cell_type": "markdown", + "id": "b93aac89-c7f8-4975-8510-4e763c9689f4", + "metadata": {}, + "source": [ + "## Synthesis" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "5a227963-aa12-43b9-a706-1168b6fc0ba5", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "8342d12401c54017b0e19b8d293a06bf", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/1 [00:00\n", + " \n", + " Your browser does not support the audio element.\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of ODE steps: 10\n", + "Mean RTF:\t\t\t\t0.017228 ± 0.000000\n", + "Mean RTF Waveform (incl. vocoder):\t0.021445 ± 0.000000\n" + ] + } + ], + "source": [ + "outputs, rtfs = [], []\n", + "rtfs_w = []\n", + "for i, text in enumerate(tqdm(texts)):\n", + " output = synthesise(text) #, torch.tensor([15], device=device, dtype=torch.long).unsqueeze(0))\n", + " output['waveform'] = to_waveform(output['mel'], vocoder)\n", + "\n", + " # Compute Real Time Factor (RTF) with HiFi-GAN\n", + " t = (dt.datetime.now() - output['start_t']).total_seconds()\n", + " rtf_w = t * 22050 / (output['waveform'].shape[-1])\n", + "\n", + " ## Pretty print\n", + " print(f\"{'*' * 53}\")\n", + " print(f\"Input text - {i}\")\n", + " print(f\"{'-' * 53}\")\n", + " print(output['x_orig'])\n", + " print(f\"{'*' * 53}\")\n", + " print(f\"Phonetised text - {i}\")\n", + " print(f\"{'-' * 53}\")\n", + " print(output['x_phones'])\n", + " print(f\"{'*' * 53}\")\n", + " print(f\"RTF:\\t\\t{output['rtf']:.6f}\")\n", + " print(f\"RTF Waveform:\\t{rtf_w:.6f}\")\n", + " rtfs.append(output['rtf'])\n", + " rtfs_w.append(rtf_w)\n", + "\n", + " ## Display the synthesised waveform\n", + " ipd.display(ipd.Audio(output['waveform'], rate=22050))\n", + "\n", + " ## Save the generated waveform\n", + " save_to_folder(i, output, OUTPUT_FOLDER)\n", + "\n", + "print(f\"Number of ODE steps: {n_timesteps}\")\n", + "print(f\"Mean RTF:\\t\\t\\t\\t{np.mean(rtfs):.6f} ± {np.std(rtfs):.6f}\")\n", + "print(f\"Mean RTF Waveform (incl. vocoder):\\t{np.mean(rtfs_w):.6f} ± {np.std(rtfs_w):.6f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e3e85c3f-1623-4647-b40c-fa96907656fc", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/CosyVoice/tools/extract_embedding.py b/CosyVoice/tools/extract_embedding.py new file mode 100644 index 0000000000000000000000000000000000000000..96a043c852b00b3edf7c409b620d09e5f1912cba --- /dev/null +++ b/CosyVoice/tools/extract_embedding.py @@ -0,0 +1,69 @@ +#!/usr/bin/env python3 +# Copyright (c) 2024 Alibaba Inc (authors: Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import argparse +import torch +import torchaudio +from tqdm import tqdm +import onnxruntime +import torchaudio.compliance.kaldi as kaldi + + +def main(args): + utt2wav, utt2spk = {}, {} + with open('{}/wav.scp'.format(args.dir)) as f: + for l in f: + l = l.replace('\n', '').split() + utt2wav[l[0]] = l[1] + with open('{}/utt2spk'.format(args.dir)) as f: + for l in f: + l = l.replace('\n', '').split() + utt2spk[l[0]] = l[1] + + option = onnxruntime.SessionOptions() + option.graph_optimization_level = onnxruntime.GraphOptimizationLevel.ORT_ENABLE_ALL + option.intra_op_num_threads = 1 + providers = ["CPUExecutionProvider"] + ort_session = onnxruntime.InferenceSession(args.onnx_path, sess_options=option, providers=providers) + + utt2embedding, spk2embedding = {}, {} + for utt in tqdm(utt2wav.keys()): + audio, sample_rate = torchaudio.load(utt2wav[utt]) + if sample_rate != 16000: + audio = torchaudio.transforms.Resample(orig_freq=sample_rate, new_freq=16000)(audio) + feat = kaldi.fbank(audio, + num_mel_bins=80, + dither=0, + sample_frequency=16000) + feat = feat - feat.mean(dim=0, keepdim=True) + embedding = ort_session.run(None, {ort_session.get_inputs()[0].name: feat.unsqueeze(dim=0).cpu().numpy()})[0].flatten().tolist() + utt2embedding[utt] = embedding + spk = utt2spk[utt] + if spk not in spk2embedding: + spk2embedding[spk] = [] + spk2embedding[spk].append(embedding) + for k, v in spk2embedding.items(): + spk2embedding[k] = torch.tensor(v).mean(dim=0).tolist() + + torch.save(utt2embedding, '{}/utt2embedding.pt'.format(args.dir)) + torch.save(spk2embedding, '{}/spk2embedding.pt'.format(args.dir)) + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument('--dir', + type=str) + parser.add_argument('--onnx_path', + type=str) + args = parser.parse_args() + main(args) diff --git a/CosyVoice/tools/extract_speech_token.py b/CosyVoice/tools/extract_speech_token.py new file mode 100644 index 0000000000000000000000000000000000000000..fac0b0bc18e273920147be3a4c525b6249e1f21b --- /dev/null +++ b/CosyVoice/tools/extract_speech_token.py @@ -0,0 +1,61 @@ +#!/usr/bin/env python3 +# Copyright (c) 2024 Alibaba Inc (authors: Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import argparse +import logging +import torch +from tqdm import tqdm +import onnxruntime +import numpy as np +import torchaudio +import whisper + + +def main(args): + utt2wav = {} + with open('{}/wav.scp'.format(args.dir)) as f: + for l in f: + l = l.replace('\n', '').split() + utt2wav[l[0]] = l[1] + + option = onnxruntime.SessionOptions() + option.graph_optimization_level = onnxruntime.GraphOptimizationLevel.ORT_ENABLE_ALL + option.intra_op_num_threads = 1 + providers = ["CUDAExecutionProvider"] + ort_session = onnxruntime.InferenceSession(args.onnx_path, sess_options=option, providers=providers) + + utt2speech_token = {} + for utt in tqdm(utt2wav.keys()): + audio, sample_rate = torchaudio.load(utt2wav[utt]) + if sample_rate != 16000: + audio = torchaudio.transforms.Resample(orig_freq=sample_rate, new_freq=16000)(audio) + if audio.shape[1] / 16000 > 30: + logging.warning('do not support extract speech token for audio longer than 30s') + speech_token = [] + else: + feat = whisper.log_mel_spectrogram(audio, n_mels=128) + speech_token = ort_session.run(None, {ort_session.get_inputs()[0].name: feat.detach().cpu().numpy(), + ort_session.get_inputs()[1].name: np.array([feat.shape[2]], dtype=np.int32)})[0].flatten().tolist() + utt2speech_token[utt] = speech_token + torch.save(utt2speech_token, '{}/utt2speech_token.pt'.format(args.dir)) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument('--dir', + type=str) + parser.add_argument('--onnx_path', + type=str) + args = parser.parse_args() + main(args) diff --git a/CosyVoice/tools/make_parquet_list.py b/CosyVoice/tools/make_parquet_list.py new file mode 100644 index 0000000000000000000000000000000000000000..399d9a6b57bb24579c674bc2f27f7688c867c1a5 --- /dev/null +++ b/CosyVoice/tools/make_parquet_list.py @@ -0,0 +1,112 @@ +#!/usr/bin/env python3 +# Copyright (c) 2024 Alibaba Inc (authors: Xiang Lyu) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import argparse +import logging +import os +import json +from tqdm import tqdm +import pandas as pd +import multiprocessing +import time +import torch + + +def job(utt_list, parquet_file, utt2parquet_file, spk2parquet_file): + start_time = time.time() + data_list = [] + for utt in tqdm(utt_list): + data = open(utt2wav[utt], 'rb').read() + data_list.append(data) + wav_list = [utt2wav[utt] for utt in utt_list] + text_list = [utt2text[utt] for utt in utt_list] + spk_list = [utt2spk[utt] for utt in utt_list] + uttembedding_list = [utt2embedding[utt] for utt in utt_list] + spkembedding_list = [spk2embedding[utt2spk[utt]] for utt in utt_list] + speech_token_list = [utt2speech_token[utt] for utt in utt_list] + + # 保存到parquet,utt2parquet_file,spk2parquet_file + df = pd.DataFrame() + df['utt'] = utt_list + df['wav'] = wav_list + df['audio_data'] = data_list + df['text'] = text_list + df['spk'] = spk_list + df['utt_embedding'] = uttembedding_list + df['spk_embedding'] = spkembedding_list + df['speech_token'] = speech_token_list + df.to_parquet(parquet_file) + with open(utt2parquet_file, 'w') as f: + json.dump({k: parquet_file for k in utt_list}, f, ensure_ascii=False, indent=2) + with open(spk2parquet_file, 'w') as f: + json.dump({k: parquet_file for k in list(set(spk_list))}, f, ensure_ascii=False, indent=2) + logging.info('spend time {}'.format(time.time() - start_time)) + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument('--num_utts_per_parquet', + type=int, + default=1000, + help='num utts per parquet') + parser.add_argument('--num_processes', + type=int, + default=1, + help='num processes for make parquets') + parser.add_argument('--src_dir', + type=str) + parser.add_argument('--des_dir', + type=str) + args = parser.parse_args() + + utt2wav, utt2text, utt2spk = {}, {}, {} + with open('{}/wav.scp'.format(args.src_dir)) as f: + for l in f: + l = l.replace('\n', '').split() + utt2wav[l[0]] = l[1] + with open('{}/text'.format(args.src_dir)) as f: + for l in f: + l = l.replace('\n', '').split() + utt2text[l[0]] = ' '.join(l[1:]) + with open('{}/utt2spk'.format(args.src_dir)) as f: + for l in f: + l = l.replace('\n', '').split() + utt2spk[l[0]] = l[1] + utt2embedding = torch.load('{}/utt2embedding.pt'.format(args.src_dir)) + spk2embedding = torch.load('{}/spk2embedding.pt'.format(args.src_dir)) + utt2speech_token = torch.load('{}/utt2speech_token.pt'.format(args.src_dir)) + utts = list(utt2wav.keys()) + + # Using process pool to speedup + pool = multiprocessing.Pool(processes=args.num_processes) + parquet_list, utt2parquet_list, spk2parquet_list = [], [], [] + for i, j in enumerate(range(0, len(utts), args.num_utts_per_parquet)): + parquet_file = os.path.join(args.des_dir, 'parquet_{:09d}.tar'.format(i)) + utt2parquet_file = os.path.join(args.des_dir, 'utt2parquet_{:09d}.json'.format(i)) + spk2parquet_file = os.path.join(args.des_dir, 'spk2parquet_{:09d}.json'.format(i)) + parquet_list.append(parquet_file) + utt2parquet_list.append(utt2parquet_file) + spk2parquet_list.append(spk2parquet_file) + pool.apply_async(job, (utts[j: j + args.num_utts_per_parquet], parquet_file, utt2parquet_file, spk2parquet_file)) + pool.close() + pool.join() + + with open('{}/data.list'.format(args.des_dir), 'w', encoding='utf8') as f1, \ + open('{}/utt2data.list'.format(args.des_dir), 'w', encoding='utf8') as f2, \ + open('{}/spk2data.list'.format(args.des_dir), 'w', encoding='utf8') as f3: + for name in parquet_list: + f1.write(name + '\n') + for name in utt2parquet_list: + f2.write(name + '\n') + for name in spk2parquet_list: + f3.write(name + '\n') diff --git a/CosyVoice/webui.py b/CosyVoice/webui.py new file mode 100644 index 0000000000000000000000000000000000000000..39cf9a8a9d11677524177815ecc9e9ebbe5cef9a --- /dev/null +++ b/CosyVoice/webui.py @@ -0,0 +1,194 @@ +# Copyright (c) 2024 Alibaba Inc (authors: Xiang Lyu, Liu Yue) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import os +import sys +ROOT_DIR = os.path.dirname(os.path.abspath(__file__)) +sys.path.append('{}/third_party/Matcha-TTS'.format(ROOT_DIR)) + +import argparse +import gradio as gr +import numpy as np +import torch +import torchaudio +import random +import librosa + +import logging +logging.getLogger('matplotlib').setLevel(logging.WARNING) + +from cosyvoice.cli.cosyvoice import CosyVoice +from cosyvoice.utils.file_utils import load_wav, speed_change + +logging.basicConfig(level=logging.DEBUG, + format='%(asctime)s %(levelname)s %(message)s') + +def generate_seed(): + seed = random.randint(1, 100000000) + return { + "__type__": "update", + "value": seed + } + +def set_all_random_seed(seed): + random.seed(seed) + np.random.seed(seed) + torch.manual_seed(seed) + torch.cuda.manual_seed_all(seed) + +max_val = 0.8 +def postprocess(speech, top_db=60, hop_length=220, win_length=440): + speech, _ = librosa.effects.trim( + speech, top_db=top_db, + frame_length=win_length, + hop_length=hop_length + ) + if speech.abs().max() > max_val: + speech = speech / speech.abs().max() * max_val + speech = torch.concat([speech, torch.zeros(1, int(target_sr * 0.2))], dim=1) + return speech + +inference_mode_list = ['预训练音色', '3s极速复刻', '跨语种复刻', '自然语言控制'] +instruct_dict = {'预训练音色': '1. 选择预训练音色\n2. 点击生成音频按钮', + '3s极速复刻': '1. 选择prompt音频文件，或录入prompt音频，注意不超过30s，若同时提供，优先选择prompt音频文件\n2. 输入prompt文本\n3. 点击生成音频按钮', + '跨语种复刻': '1. 选择prompt音频文件，或录入prompt音频，注意不超过30s，若同时提供，优先选择prompt音频文件\n2. 点击生成音频按钮', + '自然语言控制': '1. 选择预训练音色\n2. 输入instruct文本\n3. 点击生成音频按钮'} +def change_instruction(mode_checkbox_group): + return instruct_dict[mode_checkbox_group] + +def generate_audio(tts_text, mode_checkbox_group, sft_dropdown, prompt_text, prompt_wav_upload, prompt_wav_record, instruct_text, seed, speed_factor): + if prompt_wav_upload is not None: + prompt_wav = prompt_wav_upload + elif prompt_wav_record is not None: + prompt_wav = prompt_wav_record + else: + prompt_wav = None + # if instruct mode, please make sure that model is iic/CosyVoice-300M-Instruct and not cross_lingual mode + if mode_checkbox_group in ['自然语言控制']: + if cosyvoice.frontend.instruct is False: + gr.Warning('您正在使用自然语言控制模式, {}模型不支持此模式, 请使用iic/CosyVoice-300M-Instruct模型'.format(args.model_dir)) + return (target_sr, default_data) + if instruct_text == '': + gr.Warning('您正在使用自然语言控制模式, 请输入instruct文本') + return (target_sr, default_data) + if prompt_wav is not None or prompt_text != '': + gr.Info('您正在使用自然语言控制模式, prompt音频/prompt文本会被忽略') + # if cross_lingual mode, please make sure that model is iic/CosyVoice-300M and tts_text prompt_text are different language + if mode_checkbox_group in ['跨语种复刻']: + if cosyvoice.frontend.instruct is True: + gr.Warning('您正在使用跨语种复刻模式, {}模型不支持此模式, 请使用iic/CosyVoice-300M模型'.format(args.model_dir)) + return (target_sr, default_data) + if instruct_text != '': + gr.Info('您正在使用跨语种复刻模式, instruct文本会被忽略') + if prompt_wav is None: + gr.Warning('您正在使用跨语种复刻模式, 请提供prompt音频') + return (target_sr, default_data) + gr.Info('您正在使用跨语种复刻模式, 请确保合成文本和prompt文本为不同语言') + # if in zero_shot cross_lingual, please make sure that prompt_text and prompt_wav meets requirements + if mode_checkbox_group in ['3s极速复刻', '跨语种复刻']: + if prompt_wav is None: + gr.Warning('prompt音频为空，您是否忘记输入prompt音频？') + return (target_sr, default_data) + if torchaudio.info(prompt_wav).sample_rate < prompt_sr: + gr.Warning('prompt音频采样率{}低于{}'.format(torchaudio.info(prompt_wav).sample_rate, prompt_sr)) + return (target_sr, default_data) + # sft mode only use sft_dropdown + if mode_checkbox_group in ['预训练音色']: + if instruct_text != '' or prompt_wav is not None or prompt_text != '': + gr.Info('您正在使用预训练音色模式，prompt文本/prompt音频/instruct文本会被忽略！') + # zero_shot mode only use prompt_wav prompt text + if mode_checkbox_group in ['3s极速复刻']: + if prompt_text == '': + gr.Warning('prompt文本为空，您是否忘记输入prompt文本？') + return (target_sr, default_data) + if instruct_text != '': + gr.Info('您正在使用3s极速复刻模式，预训练音色/instruct文本会被忽略！') + + if mode_checkbox_group == '预训练音色': + logging.info('get sft inference request') + set_all_random_seed(seed) + output = cosyvoice.inference_sft(tts_text, sft_dropdown) + elif mode_checkbox_group == '3s极速复刻': + logging.info('get zero_shot inference request') + prompt_speech_16k = postprocess(load_wav(prompt_wav, prompt_sr)) + set_all_random_seed(seed) + output = cosyvoice.inference_zero_shot(tts_text, prompt_text, prompt_speech_16k) + elif mode_checkbox_group == '跨语种复刻': + logging.info('get cross_lingual inference request') + prompt_speech_16k = postprocess(load_wav(prompt_wav, prompt_sr)) + set_all_random_seed(seed) + output = cosyvoice.inference_cross_lingual(tts_text, prompt_speech_16k) + else: + logging.info('get instruct inference request') + set_all_random_seed(seed) + output = cosyvoice.inference_instruct(tts_text, sft_dropdown, instruct_text) + + if speed_factor != 1.0: + try: + audio_data, sample_rate = speed_change(output["tts_speech"], target_sr, str(speed_factor)) + audio_data = audio_data.numpy().flatten() + except Exception as e: + print(f"Failed to change speed of audio: \n{e}") + else: + audio_data = output['tts_speech'].numpy().flatten() + + return (target_sr, audio_data) + +def main(): + with gr.Blocks() as demo: + gr.Markdown("### 代码库 [CosyVoice](https://github.com/FunAudioLLM/CosyVoice) 预训练模型 [CosyVoice-300M](https://www.modelscope.cn/models/iic/CosyVoice-300M) [CosyVoice-300M-Instruct](https://www.modelscope.cn/models/iic/CosyVoice-300M-Instruct) [CosyVoice-300M-SFT](https://www.modelscope.cn/models/iic/CosyVoice-300M-SFT)") + gr.Markdown("#### 请输入需要合成的文本，选择推理模式，并按照提示步骤进行操作") + + tts_text = gr.Textbox(label="输入合成文本", lines=1, value="我是通义实验室语音团队全新推出的生成式语音大模型，提供舒适自然的语音合成能力。") + speed_factor = gr.Slider(minimum=0.25, maximum=4, step=0.05, label="语速调节", value=1.0, interactive=True) + with gr.Row(): + mode_checkbox_group = gr.Radio(choices=inference_mode_list, label='选择推理模式', value=inference_mode_list[0]) + instruction_text = gr.Text(label="操作步骤", value=instruct_dict[inference_mode_list[0]], scale=0.5) + sft_dropdown = gr.Dropdown(choices=sft_spk, label='选择预训练音色', value=sft_spk[0], scale=0.25) + with gr.Column(scale=0.25): + seed_button = gr.Button(value="\U0001F3B2") + seed = gr.Number(value=0, label="随机推理种子") + + with gr.Row(): + prompt_wav_upload = gr.Audio(sources='upload', type='filepath', label='选择prompt音频文件，注意采样率不低于16khz') + prompt_wav_record = gr.Audio(sources='microphone', type='filepath', label='录制prompt音频文件') + prompt_text = gr.Textbox(label="输入prompt文本", lines=1, placeholder="请输入prompt文本，需与prompt音频内容一致，暂时不支持自动识别...", value='') + instruct_text = gr.Textbox(label="输入instruct文本", lines=1, placeholder="请输入instruct文本.", value='') + + generate_button = gr.Button("生成音频") + + audio_output = gr.Audio(label="合成音频") + + seed_button.click(generate_seed, inputs=[], outputs=seed) + generate_button.click(generate_audio, + inputs=[tts_text, mode_checkbox_group, sft_dropdown, prompt_text, prompt_wav_upload, prompt_wav_record, instruct_text, seed, speed_factor], + outputs=[audio_output]) + mode_checkbox_group.change(fn=change_instruction, inputs=[mode_checkbox_group], outputs=[instruction_text]) + demo.queue(max_size=4, default_concurrency_limit=2) + demo.launch(server_name='0.0.0.0', server_port=args.port) + +if __name__ == '__main__': + parser = argparse.ArgumentParser() + parser.add_argument('--port', + type=int, + default=8000) + parser.add_argument('--model_dir', + type=str, + default='iic/CosyVoice-300M', + help='local path or modelscope repo id') + args = parser.parse_args() + cosyvoice = CosyVoice(args.model_dir) + sft_spk = cosyvoice.list_avaliable_spks() + prompt_sr, target_sr = 16000, 22050 + default_data = np.zeros(target_sr) + main() diff --git a/GPT_SoVITS/AR/__init__.py b/GPT_SoVITS/AR/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/GPT_SoVITS/AR/data/__init__.py b/GPT_SoVITS/AR/data/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/GPT_SoVITS/AR/data/bucket_sampler.py b/GPT_SoVITS/AR/data/bucket_sampler.py new file mode 100644 index 0000000000000000000000000000000000000000..647491f7d71ec697a3fa492163c3c5e1a145025f --- /dev/null +++ b/GPT_SoVITS/AR/data/bucket_sampler.py @@ -0,0 +1,162 @@ +# modified from https://github.com/feng-yufei/shared_debugging_code/blob/main/bucketsampler.py +import itertools +import math +import random +from random import shuffle +from typing import Iterator +from typing import Optional +from typing import TypeVar + +import torch +import torch.distributed as dist +from torch.utils.data import Dataset +from torch.utils.data import Sampler + +__all__ = [ + "DistributedBucketSampler", +] + +T_co = TypeVar("T_co", covariant=True) + + +class DistributedBucketSampler(Sampler[T_co]): + r""" + sort the dataset wrt. input length + divide samples into buckets + sort within buckets + divide buckets into batches + sort batches + """ + + def __init__( + self, + dataset: Dataset, + num_replicas: Optional[int] = None, + rank: Optional[int] = None, + shuffle: bool = True, + seed: int = 0, + drop_last: bool = False, + batch_size: int = 32, + ) -> None: + if num_replicas is None: + if not dist.is_available(): + raise RuntimeError("Requires distributed package to be available") + num_replicas = dist.get_world_size() if torch.cuda.is_available() else 1 + if rank is None: + if not dist.is_available(): + raise RuntimeError("Requires distributed package to be available") + rank = dist.get_rank() if torch.cuda.is_available() else 0 + if torch.cuda.is_available(): + torch.cuda.set_device(rank) + if rank >= num_replicas or rank < 0: + raise ValueError( + "Invalid rank {}, rank should be in the interval" + " [0, {}]".format(rank, num_replicas - 1) + ) + self.dataset = dataset + self.num_replicas = num_replicas + self.rank = rank + self.epoch = 0 + self.drop_last = drop_last + # If the dataset length is evenly divisible by # of replicas, then there + # is no need to drop any data, since the dataset will be split equally. + if ( + self.drop_last and len(self.dataset) % self.num_replicas != 0 + ): # type: ignore[arg-type] + # Split to nearest available length that is evenly divisible. + # This is to ensure each rank receives the same amount of data when + # using this Sampler. + self.num_samples = math.ceil( + (len(self.dataset) - self.num_replicas) + / self.num_replicas # type: ignore[arg-type] + ) + else: + self.num_samples = math.ceil( + len(self.dataset) / self.num_replicas + ) # type: ignore[arg-type] + self.total_size = self.num_samples * self.num_replicas + self.shuffle = shuffle + self.seed = seed + self.batch_size = batch_size + self.id_with_length = self._get_sample_lengths() + self.id_buckets = self.make_buckets(bucket_width=2.0) + + def _get_sample_lengths(self): + id_with_lengths = [] + for i in range(len(self.dataset)): + id_with_lengths.append((i, self.dataset.get_sample_length(i))) + id_with_lengths.sort(key=lambda x: x[1]) + return id_with_lengths + + def make_buckets(self, bucket_width: float = 2.0): + buckets = [] + cur = [] + max_sec = bucket_width + for id, sec in self.id_with_length: + if sec < max_sec: + cur.append(id) + else: + buckets.append(cur) + cur = [id] + max_sec += bucket_width + if len(cur) > 0: + buckets.append(cur) + return buckets + + def __iter__(self) -> Iterator[T_co]: + if self.shuffle: + # deterministically shuffle based on epoch and seed + g = torch.Generator() + g.manual_seed(self.seed + self.epoch) + random.seed(self.epoch + self.seed) + shuffled_bucket = [] + for buc in self.id_buckets: + buc_copy = buc.copy() + shuffle(buc_copy) + shuffled_bucket.append(buc_copy) + grouped_batch_size = self.batch_size * self.num_replicas + shuffled_bucket = list(itertools.chain(*shuffled_bucket)) + n_batch = int(math.ceil(len(shuffled_bucket) / grouped_batch_size)) + batches = [ + shuffled_bucket[b * grouped_batch_size : (b + 1) * grouped_batch_size] + for b in range(n_batch) + ] + shuffle(batches) + indices = list(itertools.chain(*batches)) + else: + # type: ignore[arg-type] + indices = list(range(len(self.dataset))) + + if not self.drop_last: + # add extra samples to make it evenly divisible + padding_size = self.total_size - len(indices) + if padding_size <= len(indices): + indices += indices[:padding_size] + else: + indices += (indices * math.ceil(padding_size / len(indices)))[ + :padding_size + ] + else: + # remove tail of data to make it evenly divisible. + indices = indices[: self.total_size] + assert len(indices) == self.total_size + + # subsample + indices = indices[self.rank : self.total_size : self.num_replicas] + assert len(indices) == self.num_samples + + return iter(indices) + + def __len__(self) -> int: + return self.num_samples + + def set_epoch(self, epoch: int) -> None: + r""" + Sets the epoch for this sampler. When :attr:`shuffle=True`, this ensures all replicas + use a different random ordering for each epoch. Otherwise, the next iteration of this + sampler will yield the same ordering. + + Args: + epoch (int): Epoch number. + """ + self.epoch = epoch diff --git a/GPT_SoVITS/AR/data/data_module.py b/GPT_SoVITS/AR/data/data_module.py new file mode 100644 index 0000000000000000000000000000000000000000..037484a9b49145b04fdb3a0b9664013913df606b --- /dev/null +++ b/GPT_SoVITS/AR/data/data_module.py @@ -0,0 +1,74 @@ +# modified from https://github.com/feng-yufei/shared_debugging_code/blob/main/data_module.py +from pytorch_lightning import LightningDataModule +from AR.data.bucket_sampler import DistributedBucketSampler +from AR.data.dataset import Text2SemanticDataset +from torch.utils.data import DataLoader + + +class Text2SemanticDataModule(LightningDataModule): + def __init__( + self, + config, + train_semantic_path, + train_phoneme_path, + dev_semantic_path=None, + dev_phoneme_path=None, + ): + super().__init__() + self.config = config + self.train_semantic_path = train_semantic_path + self.train_phoneme_path = train_phoneme_path + self.dev_semantic_path = dev_semantic_path + self.dev_phoneme_path = dev_phoneme_path + self.num_workers = self.config["data"]["num_workers"] + + def prepare_data(self): + pass + + def setup(self, stage=None, output_logs=False): + self._train_dataset = Text2SemanticDataset( + phoneme_path=self.train_phoneme_path, + semantic_path=self.train_semantic_path, + max_sec=self.config["data"]["max_sec"], + pad_val=self.config["data"]["pad_val"], + ) + self._dev_dataset = self._train_dataset + # self._dev_dataset = Text2SemanticDataset( + # phoneme_path=self.dev_phoneme_path, + # semantic_path=self.dev_semantic_path, + # max_sample=self.config['data']['max_eval_sample'], + # max_sec=self.config['data']['max_sec'], + # pad_val=self.config['data']['pad_val']) + + def train_dataloader(self): + batch_size = max(min(self.config["train"]["batch_size"],len(self._train_dataset)//4),1)#防止不保存 + sampler = DistributedBucketSampler(self._train_dataset, batch_size=batch_size) + return DataLoader( + self._train_dataset, + batch_size=batch_size, + sampler=sampler, + collate_fn=self._train_dataset.collate, + num_workers=self.num_workers, + persistent_workers=True, + prefetch_factor=16, + ) + + def val_dataloader(self): + return DataLoader( + self._dev_dataset, + batch_size=1, + shuffle=False, + collate_fn=self._train_dataset.collate, + num_workers=max(self.num_workers, 12), + persistent_workers=True, + prefetch_factor=16, + ) + + # 这个会使用到嘛？ + def test_dataloader(self): + return DataLoader( + self._dev_dataset, + batch_size=1, + shuffle=False, + collate_fn=self._train_dataset.collate, + ) diff --git a/GPT_SoVITS/AR/data/dataset.py b/GPT_SoVITS/AR/data/dataset.py new file mode 100644 index 0000000000000000000000000000000000000000..b1ea69e600414f71c9d208b4bea5a8b3e467f8bb --- /dev/null +++ b/GPT_SoVITS/AR/data/dataset.py @@ -0,0 +1,320 @@ +# modified from https://github.com/feng-yufei/shared_debugging_code/blob/main/t2s_dataset.py +import pdb +import sys + +# sys.path.append("/data/docker/liujing04/gpt-vits/mq-vits-s1bert_no_bert") +import traceback, os +from typing import Dict +from typing import List + +import numpy as np +import pandas as pd +import torch, json +from torch.utils.data import DataLoader +from torch.utils.data import Dataset +from transformers import AutoTokenizer + +from text import cleaned_text_to_sequence + +# from config import exp_dir + + +def batch_sequences(sequences: List[np.array], axis: int = 0, pad_value: int = 0): + seq = sequences[0] + ndim = seq.ndim + if axis < 0: + axis += ndim + dtype = seq.dtype + pad_value = dtype.type(pad_value) + seq_lengths = [seq.shape[axis] for seq in sequences] + max_length = np.max(seq_lengths) + + padded_sequences = [] + for seq, length in zip(sequences, seq_lengths): + padding = ( + [(0, 0)] * axis + [(0, max_length - length)] + [(0, 0)] * (ndim - axis - 1) + ) + padded_seq = np.pad(seq, padding, mode="constant", constant_values=pad_value) + padded_sequences.append(padded_seq) + batch = np.stack(padded_sequences) + return batch + + +class Text2SemanticDataset(Dataset): + """dataset class for text tokens to semantic model training.""" + + def __init__( + self, + phoneme_path: str, + semantic_path: str, + max_sample: int = None, + max_sec: int = 100, + pad_val: int = 1024, + # min value of phoneme/sec + min_ps_ratio: int = 3, + # max value of phoneme/sec + max_ps_ratio: int = 25, + ) -> None: + super().__init__() + + self.semantic_data = pd.read_csv( + semantic_path, delimiter="\t", encoding="utf-8" + ) + # get dict + self.path2 = phoneme_path # "%s/2-name2text.txt"%exp_dir#phoneme_path + self.path3 = "%s/3-bert" % ( + os.path.basename(phoneme_path) + ) # "%s/3-bert"%exp_dir#bert_dir + self.path6 = semantic_path # "%s/6-name2semantic.tsv"%exp_dir#semantic_path + assert os.path.exists(self.path2) + assert os.path.exists(self.path6) + self.phoneme_data = {} + with open(self.path2, "r", encoding="utf8") as f: + lines = f.read().strip("\n").split("\n") + + for line in lines: + tmp = line.split("\t") + if len(tmp) != 4: + continue + self.phoneme_data[tmp[0]] = [tmp[1], tmp[2], tmp[3]] + + # self.phoneme_data = np.load(phoneme_path, allow_pickle=True).item() + # pad for semantic tokens + self.PAD: int = pad_val + # self.hz = 25 + # with open("/data/docker/liujing04/gpt-vits/mq-vits-s1bert_no_bert/configs/s2.json", "r") as f:data = f.read() + # data=json.loads(data)["model"]["semantic_frame_rate"]#50hz + # self.hz=int(data[:-2])# + self.hz = int(os.environ.get("hz", "25hz")[:-2]) + + # max seconds of semantic token + self.max_sec = max_sec + self.min_ps_ratio = min_ps_ratio + self.max_ps_ratio = max_ps_ratio + + if max_sample is not None: + self.semantic_data = self.semantic_data[:max_sample] + + # {idx: (semantic, phoneme)} + # semantic list, phoneme list + self.semantic_phoneme = [] + self.item_names = [] + + self.inited = False + + if not self.inited: + # 调用初始化函数 + self.init_batch() + self.inited = True + del self.semantic_data + del self.phoneme_data + # self.tokenizer = AutoTokenizer.from_pretrained("hfl/chinese-roberta-wwm-ext-large") + # self.tokenizer = AutoTokenizer.from_pretrained("/data/docker/liujing04/bert-vits2/Bert-VITS2-master20231106/bert/chinese-roberta-wwm-ext-large") + + def init_batch(self): + semantic_data_len = len(self.semantic_data) + phoneme_data_len = len(self.phoneme_data.keys()) + print("semantic_data_len:", semantic_data_len) + print("phoneme_data_len:", phoneme_data_len) + print(self.semantic_data) + idx = 0 + num_not_in = 0 + num_deleted_bigger = 0 + num_deleted_ps = 0 + for i in range(semantic_data_len): + # 先依次遍历 + # get str + item_name = self.semantic_data.iloc[i,0] + # print(self.phoneme_data) + try: + phoneme, word2ph, text = self.phoneme_data[item_name] + except Exception: + traceback.print_exc() + # print(f"{item_name} not in self.phoneme_data !") + num_not_in += 1 + continue + + semantic_str = self.semantic_data.iloc[i,1] + # get token list + semantic_ids = [int(idx) for idx in semantic_str.split(" ")] + # (T), 是否需要变成 (1, T) -> 不需要，因为需要求 len + # 过滤掉太长的样本 + if ( + len(semantic_ids) > self.max_sec * self.hz + ): #########1###根据token个数推测总时长过滤时长60s（config里）#40*25=1k + num_deleted_bigger += 1 + continue + # (T, ), 这个速度不会很慢，所以可以在一开始就处理，无需在 __getitem__ 里面单个处理#### + phoneme = phoneme.split(" ") + + try: + phoneme_ids = cleaned_text_to_sequence(phoneme) + except: + traceback.print_exc() + # print(f"{item_name} not in self.phoneme_data !") + num_not_in += 1 + continue + # if len(phoneme_ids) >400:###########2：改为恒定限制为semantic/2.5就行 + if ( + len(phoneme_ids) > self.max_sec * self.hz / 2.5 + ): ###########2：改为恒定限制为semantic/2.5就行 + num_deleted_ps += 1 + continue + # if len(semantic_ids) > 1000:###########3 + # num_deleted_bigger += 1 + # continue + + ps_ratio = len(phoneme_ids) / (len(semantic_ids) / self.hz) + + if ( + ps_ratio > self.max_ps_ratio or ps_ratio < self.min_ps_ratio + ): ##########4#3~25#每秒多少个phone + num_deleted_ps += 1 + # print(item_name) + continue + + self.semantic_phoneme.append((semantic_ids, phoneme_ids)) + idx += 1 + self.item_names.append(item_name) + + min_num = 100 # 20直接不补#30补了也不存ckpt + leng = len(self.semantic_phoneme) + if leng < min_num: + tmp1 = self.semantic_phoneme + tmp2 = self.item_names + self.semantic_phoneme = [] + self.item_names = [] + for _ in range(max(2, int(min_num / leng))): + self.semantic_phoneme += tmp1 + self.item_names += tmp2 + if num_not_in > 0: + print(f"there are {num_not_in} semantic datas not in phoneme datas") + if num_deleted_bigger > 0: + print( + f"deleted {num_deleted_bigger} audios who's duration are bigger than {self.max_sec} seconds" + ) + if num_deleted_ps > 0: + # 4702 for LibriTTS, LirbriTTS 是标注数据, 是否需要筛？=> 需要，有值为 100 的极端值 + print( + f"deleted {num_deleted_ps} audios who's phoneme/sec are bigger than {self.max_ps_ratio} or smaller than {self.min_ps_ratio}" + ) + """ + there are 31 semantic datas not in phoneme datas + deleted 34 audios who's duration are bigger than 54 seconds + deleted 3190 audios who's phoneme/sec are bigger than 25 or smaller than 3 + dataset.__len__(): 366463 + + """ + # 345410 for LibriTTS + print("dataset.__len__():", self.__len__()) + + def __get_item_names__(self) -> List[str]: + return self.item_names + + def __len__(self) -> int: + return len(self.semantic_phoneme) + + def __getitem__(self, idx: int) -> Dict: + semantic_ids, phoneme_ids = self.semantic_phoneme[idx] + item_name = self.item_names[idx] + phoneme_ids_len = len(phoneme_ids) + # semantic tokens target + semantic_ids_len = len(semantic_ids) + + flag = 0 + path_bert = "%s/%s.pt" % (self.path3, item_name) + if os.path.exists(path_bert) == True: + bert_feature = torch.load(path_bert, map_location="cpu") + else: + flag = 1 + if flag == 1: + # bert_feature=torch.zeros_like(phoneme_ids,dtype=torch.float32) + bert_feature = None + else: + assert bert_feature.shape[-1] == len(phoneme_ids) + return { + "idx": idx, + "phoneme_ids": phoneme_ids, + "phoneme_ids_len": phoneme_ids_len, + "semantic_ids": semantic_ids, + "semantic_ids_len": semantic_ids_len, + "bert_feature": bert_feature, + } + + def get_sample_length(self, idx: int): + semantic_ids = self.semantic_phoneme[idx][0] + sec = 1.0 * len(semantic_ids) / self.hz + return sec + + def collate(self, examples: List[Dict]) -> Dict: + sample_index: List[int] = [] + phoneme_ids: List[torch.Tensor] = [] + phoneme_ids_lens: List[int] = [] + semantic_ids: List[torch.Tensor] = [] + semantic_ids_lens: List[int] = [] + # return + + for item in examples: + sample_index.append(item["idx"]) + phoneme_ids.append(np.array(item["phoneme_ids"], dtype=np.int64)) + semantic_ids.append(np.array(item["semantic_ids"], dtype=np.int64)) + phoneme_ids_lens.append(item["phoneme_ids_len"]) + semantic_ids_lens.append(item["semantic_ids_len"]) + + # pad 0 + phoneme_ids = batch_sequences(phoneme_ids) + semantic_ids = batch_sequences(semantic_ids, pad_value=self.PAD) + + # # convert each batch to torch.tensor + phoneme_ids = torch.tensor(phoneme_ids) + semantic_ids = torch.tensor(semantic_ids) + phoneme_ids_lens = torch.tensor(phoneme_ids_lens) + semantic_ids_lens = torch.tensor(semantic_ids_lens) + bert_padded = torch.FloatTensor(len(examples), 1024, max(phoneme_ids_lens)) + bert_padded.zero_() + + for idx, item in enumerate(examples): + bert = item["bert_feature"] + if bert != None: + bert_padded[idx, :, : bert.shape[-1]] = bert + + return { + # List[int] + "ids": sample_index, + # torch.Tensor (B, max_phoneme_length) + "phoneme_ids": phoneme_ids, + # torch.Tensor (B) + "phoneme_ids_len": phoneme_ids_lens, + # torch.Tensor (B, max_semantic_ids_length) + "semantic_ids": semantic_ids, + # torch.Tensor (B) + "semantic_ids_len": semantic_ids_lens, + # torch.Tensor (B, 1024, max_phoneme_length) + "bert_feature": bert_padded, + } + + +if __name__ == "__main__": + root_dir = "/data/docker/liujing04/gpt-vits/prepare/dump_mix/" + dataset = Text2SemanticDataset( + phoneme_path=root_dir + "phoneme_train.npy", + semantic_path=root_dir + "semantic_train.tsv", + ) + + batch_size = 12 + dataloader = DataLoader( + dataset, batch_size=batch_size, collate_fn=dataset.collate, shuffle=False + ) + for i, batch in enumerate(dataloader): + if i % 1000 == 0: + print(i) + # if i == 0: + # print('batch["ids"]:', batch["ids"]) + # print('batch["phoneme_ids"]:', batch["phoneme_ids"], + # batch["phoneme_ids"].shape) + # print('batch["phoneme_ids_len"]:', batch["phoneme_ids_len"], + # batch["phoneme_ids_len"].shape) + # print('batch["semantic_ids"]:', batch["semantic_ids"], + # batch["semantic_ids"].shape) + # print('batch["semantic_ids_len"]:', batch["semantic_ids_len"], + # batch["semantic_ids_len"].shape) diff --git a/GPT_SoVITS/AR/models/__init__.py b/GPT_SoVITS/AR/models/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/GPT_SoVITS/AR/models/t2s_lightning_module.py b/GPT_SoVITS/AR/models/t2s_lightning_module.py new file mode 100644 index 0000000000000000000000000000000000000000..f9dfc648e06e05ba04a45069525e13381e0bd1f1 --- /dev/null +++ b/GPT_SoVITS/AR/models/t2s_lightning_module.py @@ -0,0 +1,140 @@ +# modified from https://github.com/feng-yufei/shared_debugging_code/blob/main/model/t2s_lightning_module.py +import os, sys + +now_dir = os.getcwd() +sys.path.append(now_dir) +from typing import Dict + +import torch +from pytorch_lightning import LightningModule +from AR.models.t2s_model import Text2SemanticDecoder +from AR.modules.lr_schedulers import WarmupCosineLRSchedule +from AR.modules.optim import ScaledAdam + + +class Text2SemanticLightningModule(LightningModule): + def __init__(self, config, output_dir, is_train=True): + super().__init__() + self.config = config + self.top_k = 3 + self.model = Text2SemanticDecoder(config=config, top_k=self.top_k) + pretrained_s1 = config.get("pretrained_s1") + if pretrained_s1 and is_train: + # print(self.load_state_dict(torch.load(pretrained_s1,map_location="cpu")["state_dict"])) + print( + self.load_state_dict( + torch.load(pretrained_s1, map_location="cpu")["weight"] + ) + ) + if is_train: + self.automatic_optimization = False + self.save_hyperparameters() + self.eval_dir = output_dir / "eval" + self.eval_dir.mkdir(parents=True, exist_ok=True) + + def training_step(self, batch: Dict, batch_idx: int): + opt = self.optimizers() + scheduler = self.lr_schedulers() + loss, acc = self.model.forward( + batch["phoneme_ids"], + batch["phoneme_ids_len"], + batch["semantic_ids"], + batch["semantic_ids_len"], + batch["bert_feature"], + ) + self.manual_backward(loss) + if batch_idx > 0 and batch_idx % 4 == 0: + opt.step() + opt.zero_grad() + scheduler.step() + + self.log( + "total_loss", + loss, + on_step=True, + on_epoch=True, + prog_bar=True, + sync_dist=True, + ) + self.log( + "lr", + scheduler.get_last_lr()[0], + on_epoch=True, + prog_bar=True, + sync_dist=True, + ) + self.log( + f"top_{self.top_k}_acc", + acc, + on_step=True, + on_epoch=True, + prog_bar=True, + sync_dist=True, + ) + + def validation_step(self, batch: Dict, batch_idx: int): + return + + # # get loss + # loss, acc = self.model.forward( + # batch['phoneme_ids'], batch['phoneme_ids_len'], + # batch['semantic_ids'], batch['semantic_ids_len'], + # batch['bert_feature'] + # ) + # + # self.log( + # "val_total_loss", + # loss, + # on_step=True, + # on_epoch=True, + # prog_bar=True, + # sync_dist=True) + # self.log( + # f"val_top_{self.top_k}_acc", + # acc, + # on_step=True, + # on_epoch=True, + # prog_bar=True, + # sync_dist=True) + # + # # get infer output + # semantic_len = batch['semantic_ids'].size(1) + # prompt_len = min(int(semantic_len * 0.5), 150) + # prompt = batch['semantic_ids'][:, :prompt_len] + # pred_semantic = self.model.infer(batch['phoneme_ids'], + # batch['phoneme_ids_len'], prompt, + # batch['bert_feature'] + # ) + # save_name = f'semantic_toks_{batch_idx}.pt' + # save_path = os.path.join(self.eval_dir, save_name) + # torch.save(pred_semantic.detach().cpu(), save_path) + + def configure_optimizers(self): + model_parameters = self.model.parameters() + parameters_names = [] + parameters_names.append( + [name_param_pair[0] for name_param_pair in self.model.named_parameters()] + ) + lm_opt = ScaledAdam( + model_parameters, + lr=0.01, + betas=(0.9, 0.95), + clipping_scale=2.0, + parameters_names=parameters_names, + show_dominant_parameters=False, + clipping_update_period=1000, + ) + + return { + "optimizer": lm_opt, + "lr_scheduler": { + "scheduler": WarmupCosineLRSchedule( + lm_opt, + init_lr=self.config["optimizer"]["lr_init"], + peak_lr=self.config["optimizer"]["lr"], + end_lr=self.config["optimizer"]["lr_end"], + warmup_steps=self.config["optimizer"]["warmup_steps"], + total_steps=self.config["optimizer"]["decay_steps"], + ) + }, + } diff --git a/GPT_SoVITS/AR/models/t2s_lightning_module_onnx.py b/GPT_SoVITS/AR/models/t2s_lightning_module_onnx.py new file mode 100644 index 0000000000000000000000000000000000000000..bb9e30b9f914d86256bf98a28c8f2e3b37012762 --- /dev/null +++ b/GPT_SoVITS/AR/models/t2s_lightning_module_onnx.py @@ -0,0 +1,106 @@ +# modified from https://github.com/feng-yufei/shared_debugging_code/blob/main/model/t2s_lightning_module.py +import os, sys + +now_dir = os.getcwd() +sys.path.append(now_dir) +from typing import Dict + +import torch +from pytorch_lightning import LightningModule +from AR.models.t2s_model_onnx import Text2SemanticDecoder +from AR.modules.lr_schedulers import WarmupCosineLRSchedule +from AR.modules.optim import ScaledAdam + + +class Text2SemanticLightningModule(LightningModule): + def __init__(self, config, output_dir, is_train=True): + super().__init__() + self.config = config + self.top_k = 3 + self.model = Text2SemanticDecoder(config=config, top_k=self.top_k) + pretrained_s1 = config.get("pretrained_s1") + if pretrained_s1 and is_train: + # print(self.load_state_dict(torch.load(pretrained_s1,map_location="cpu")["state_dict"])) + print( + self.load_state_dict( + torch.load(pretrained_s1, map_location="cpu")["weight"] + ) + ) + if is_train: + self.automatic_optimization = False + self.save_hyperparameters() + self.eval_dir = output_dir / "eval" + self.eval_dir.mkdir(parents=True, exist_ok=True) + + def training_step(self, batch: Dict, batch_idx: int): + opt = self.optimizers() + scheduler = self.lr_schedulers() + loss, acc = self.model.forward( + batch["phoneme_ids"], + batch["phoneme_ids_len"], + batch["semantic_ids"], + batch["semantic_ids_len"], + batch["bert_feature"], + ) + self.manual_backward(loss) + if batch_idx > 0 and batch_idx % 4 == 0: + opt.step() + opt.zero_grad() + scheduler.step() + + self.log( + "total_loss", + loss, + on_step=True, + on_epoch=True, + prog_bar=True, + sync_dist=True, + ) + self.log( + "lr", + scheduler.get_last_lr()[0], + on_epoch=True, + prog_bar=True, + sync_dist=True, + ) + self.log( + f"top_{self.top_k}_acc", + acc, + on_step=True, + on_epoch=True, + prog_bar=True, + sync_dist=True, + ) + + def validation_step(self, batch: Dict, batch_idx: int): + return + + def configure_optimizers(self): + model_parameters = self.model.parameters() + parameters_names = [] + parameters_names.append( + [name_param_pair[0] for name_param_pair in self.model.named_parameters()] + ) + lm_opt = ScaledAdam( + model_parameters, + lr=0.01, + betas=(0.9, 0.95), + clipping_scale=2.0, + parameters_names=parameters_names, + show_dominant_parameters=False, + clipping_update_period=1000, + ) + + return { + "optimizer": lm_opt, + "lr_scheduler": { + "scheduler": WarmupCosineLRSchedule( + lm_opt, + init_lr=self.config["optimizer"]["lr_init"], + peak_lr=self.config["optimizer"]["lr"], + end_lr=self.config["optimizer"]["lr_end"], + warmup_steps=self.config["optimizer"]["warmup_steps"], + total_steps=self.config["optimizer"]["decay_steps"], + ) + }, + } diff --git a/GPT_SoVITS/AR/models/t2s_model.py b/GPT_SoVITS/AR/models/t2s_model.py new file mode 100644 index 0000000000000000000000000000000000000000..083dc0998e227d08beeb347b552964b3f2969671 --- /dev/null +++ b/GPT_SoVITS/AR/models/t2s_model.py @@ -0,0 +1,327 @@ +# modified from https://github.com/feng-yufei/shared_debugging_code/blob/main/model/t2s_model.py +import torch +from tqdm import tqdm + +from AR.models.utils import make_pad_mask +from AR.models.utils import ( + topk_sampling, + sample, + logits_to_probs, + multinomial_sample_one_no_sync, +) +from AR.modules.embedding import SinePositionalEmbedding +from AR.modules.embedding import TokenEmbedding +from AR.modules.transformer import LayerNorm +from AR.modules.transformer import TransformerEncoder +from AR.modules.transformer import TransformerEncoderLayer +from torch import nn +from torch.nn import functional as F +from torchmetrics.classification import MulticlassAccuracy + +default_config = { + "embedding_dim": 512, + "hidden_dim": 512, + "num_head": 8, + "num_layers": 12, + "num_codebook": 8, + "p_dropout": 0.0, + "vocab_size": 1024 + 1, + "phoneme_vocab_size": 512, + "EOS": 1024, +} + + +class Text2SemanticDecoder(nn.Module): + def __init__(self, config, norm_first=False, top_k=3): + super(Text2SemanticDecoder, self).__init__() + self.model_dim = config["model"]["hidden_dim"] + self.embedding_dim = config["model"]["embedding_dim"] + self.num_head = config["model"]["head"] + self.num_layers = config["model"]["n_layer"] + self.norm_first = norm_first + self.vocab_size = config["model"]["vocab_size"] + self.phoneme_vocab_size = config["model"]["phoneme_vocab_size"] + self.p_dropout = config["model"]["dropout"] + self.EOS = config["model"]["EOS"] + self.norm_first = norm_first + assert self.EOS == self.vocab_size - 1 + # should be same as num of kmeans bin + # assert self.EOS == 1024 + self.bert_proj = nn.Linear(1024, self.embedding_dim) + self.ar_text_embedding = TokenEmbedding( + self.embedding_dim, self.phoneme_vocab_size, self.p_dropout + ) + self.ar_text_position = SinePositionalEmbedding( + self.embedding_dim, dropout=0.1, scale=False, alpha=True + ) + self.ar_audio_embedding = TokenEmbedding( + self.embedding_dim, self.vocab_size, self.p_dropout + ) + self.ar_audio_position = SinePositionalEmbedding( + self.embedding_dim, dropout=0.1, scale=False, alpha=True + ) + + self.h = TransformerEncoder( + TransformerEncoderLayer( + d_model=self.model_dim, + nhead=self.num_head, + dim_feedforward=self.model_dim * 4, + dropout=0.1, + batch_first=True, + norm_first=norm_first, + ), + num_layers=self.num_layers, + norm=LayerNorm(self.model_dim) if norm_first else None, + ) + + self.ar_predict_layer = nn.Linear(self.model_dim, self.vocab_size, bias=False) + self.loss_fct = nn.CrossEntropyLoss(reduction="sum") + + self.ar_accuracy_metric = MulticlassAccuracy( + self.vocab_size, + top_k=top_k, + average="micro", + multidim_average="global", + ignore_index=self.EOS, + ) + + def forward(self, x, x_lens, y, y_lens, bert_feature): + """ + x: phoneme_ids + y: semantic_ids + """ + x = self.ar_text_embedding(x) + x = x + self.bert_proj(bert_feature.transpose(1, 2)) + x = self.ar_text_position(x) + x_mask = make_pad_mask(x_lens) + + y_mask = make_pad_mask(y_lens) + y_mask_int = y_mask.type(torch.int64) + codes = y.type(torch.int64) * (1 - y_mask_int) + + # Training + # AR Decoder + y, targets = self.pad_y_eos(codes, y_mask_int, eos_id=self.EOS) + x_len = x_lens.max() + y_len = y_lens.max() + y_emb = self.ar_audio_embedding(y) + y_pos = self.ar_audio_position(y_emb) + + xy_padding_mask = torch.concat([x_mask, y_mask], dim=1) + ar_xy_padding_mask = xy_padding_mask + + x_attn_mask = F.pad( + torch.zeros((x_len, x_len), dtype=torch.bool, device=x.device), + (0, y_len), + value=True, + ) + y_attn_mask = F.pad( + torch.triu( + torch.ones(y_len, y_len, dtype=torch.bool, device=x.device), + diagonal=1, + ), + (x_len, 0), + value=False, + ) + xy_attn_mask = torch.concat([x_attn_mask, y_attn_mask], dim=0) + bsz, src_len = x.shape[0], x_len + y_len + _xy_padding_mask = ( + ar_xy_padding_mask.view(bsz, 1, 1, src_len) + .expand(-1, self.num_head, -1, -1) + .reshape(bsz * self.num_head, 1, src_len) + ) + xy_attn_mask = xy_attn_mask.logical_or(_xy_padding_mask) + new_attn_mask = torch.zeros_like(xy_attn_mask, dtype=x.dtype) + new_attn_mask.masked_fill_(xy_attn_mask, float("-inf")) + xy_attn_mask = new_attn_mask + # x 和完整的 y 一次性输入模型 + xy_pos = torch.concat([x, y_pos], dim=1) + xy_dec, _ = self.h( + (xy_pos, None), + mask=xy_attn_mask, + ) + logits = self.ar_predict_layer(xy_dec[:, x_len:]).permute(0, 2, 1) + # loss + # from feiteng: 每次 duration 越多, 梯度更新也应该更多, 所以用 sum + loss = F.cross_entropy(logits, targets, reduction="sum") + acc = self.ar_accuracy_metric(logits.detach(), targets).item() + return loss, acc + + # 需要看下这个函数和 forward 的区别以及没有 semantic 的时候 prompts 输入什么 + def infer( + self, + x, + x_lens, + prompts, + bert_feature, + top_k: int = -100, + early_stop_num: int = -1, + temperature: float = 1.0, + ): + x = self.ar_text_embedding(x) + x = x + self.bert_proj(bert_feature.transpose(1, 2)) + x = self.ar_text_position(x) + + # AR Decoder + y = prompts + prefix_len = y.shape[1] + x_len = x.shape[1] + x_attn_mask = torch.zeros((x_len, x_len), dtype=torch.bool) + stop = False + for _ in tqdm(range(1500)): + y_emb = self.ar_audio_embedding(y) + y_pos = self.ar_audio_position(y_emb) + # x 和逐渐增长的 y 一起输入给模型 + xy_pos = torch.concat([x, y_pos], dim=1) + y_len = y.shape[1] + x_attn_mask_pad = F.pad( + x_attn_mask, + (0, y_len), + value=True, + ) + y_attn_mask = F.pad( + torch.triu(torch.ones(y_len, y_len, dtype=torch.bool), diagonal=1), + (x_len, 0), + value=False, + ) + xy_attn_mask = torch.concat([x_attn_mask_pad, y_attn_mask], dim=0).to( + y.device + ) + + xy_dec, _ = self.h( + (xy_pos, None), + mask=xy_attn_mask, + ) + logits = self.ar_predict_layer(xy_dec[:, -1]) + samples = topk_sampling( + logits, top_k=top_k, top_p=1.0, temperature=temperature + ) + + if early_stop_num != -1 and (y.shape[1] - prefix_len) > early_stop_num: + print("use early stop num:", early_stop_num) + stop = True + + if torch.argmax(logits, dim=-1)[0] == self.EOS or samples[0, 0] == self.EOS: + # print(torch.argmax(logits, dim=-1)[0] == self.EOS, samples[0, 0] == self.EOS) + stop = True + if stop: + if prompts.shape[1] == y.shape[1]: + y = torch.concat([y, torch.zeros_like(samples)], dim=1) + print("bad zero prediction") + print(f"T2S Decoding EOS [{prefix_len} -> {y.shape[1]}]") + break + # 本次生成的 semantic_ids 和之前的 y 构成新的 y + # print(samples.shape)#[1,1]#第一个1是bs + # import os + # os._exit(2333) + y = torch.concat([y, samples], dim=1) + return y + + def pad_y_eos(self, y, y_mask_int, eos_id): + targets = F.pad(y, (0, 1), value=0) + eos_id * F.pad( + y_mask_int, (0, 1), value=1 + ) + # 错位 + return targets[:, :-1], targets[:, 1:] + + def infer_panel( + self, + x, #####全部文本token + x_lens, + prompts, ####参考音频token + bert_feature, + top_k: int = -100, + early_stop_num: int = -1, + temperature: float = 1.0, + ): + x = self.ar_text_embedding(x) + x = x + self.bert_proj(bert_feature.transpose(1, 2)) + x = self.ar_text_position(x) + + # AR Decoder + y = prompts + prefix_len = y.shape[1] + x_len = x.shape[1] + x_attn_mask = torch.zeros((x_len, x_len), dtype=torch.bool) + stop = False + # print(1111111,self.num_layers) + cache = { + "all_stage": self.num_layers, + "k": [None] * self.num_layers, ###根据配置自己手写 + "v": [None] * self.num_layers, + # "xy_pos":None,##y_pos位置编码每次都不一样的没法缓存，每次都要重新拼xy_pos.主要还是写法原因，其实是可以历史统一一样的，但也没啥计算量就不管了 + "y_emb": None, ##只需要对最新的samples求emb，再拼历史的就行 + # "logits":None,###原版就已经只对结尾求再拼接了，不用管 + # "xy_dec":None,###不需要，本来只需要最后一个做logits + "first_infer": 1, + "stage": 0, + } + for idx in tqdm(range(1500)): + if cache["first_infer"] == 1: + y_emb = self.ar_audio_embedding(y) + else: + y_emb = torch.cat( + [cache["y_emb"], self.ar_audio_embedding(y[:, -1:])], 1 + ) + cache["y_emb"] = y_emb + y_pos = self.ar_audio_position(y_emb) + # x 和逐渐增长的 y 一起输入给模型 + if cache["first_infer"] == 1: + xy_pos = torch.concat([x, y_pos], dim=1) + else: + xy_pos = y_pos[:, -1:] + y_len = y_pos.shape[1] + ###以下3个不做缓存 + if cache["first_infer"] == 1: + x_attn_mask_pad = F.pad( + x_attn_mask, + (0, y_len), ###xx的纯0扩展到xx纯0+xy纯1，(x,x+y) + value=True, + ) + y_attn_mask = F.pad( ###yy的右上1扩展到左边xy的0,(y,x+y) + torch.triu(torch.ones(y_len, y_len, dtype=torch.bool), diagonal=1), + (x_len, 0), + value=False, + ) + xy_attn_mask = torch.concat([x_attn_mask_pad, y_attn_mask], dim=0).to( + y.device + ) + else: + ###最右边一列（是错的） + # xy_attn_mask=torch.ones((1, x_len+y_len), dtype=torch.bool,device=xy_pos.device) + # xy_attn_mask[:,-1]=False + ###最下面一行（是对的） + xy_attn_mask = torch.zeros( + (1, x_len + y_len), dtype=torch.bool, device=xy_pos.device + ) + # pdb.set_trace() + ###缓存重头戏 + # print(1111,xy_pos.shape,xy_attn_mask.shape,x_len,y_len) + xy_dec, _ = self.h((xy_pos, None), mask=xy_attn_mask, cache=cache) + logits = self.ar_predict_layer( + xy_dec[:, -1] + ) ##不用改，如果用了cache的默认就是只有一帧，取最后一帧一样的 + # samples = topk_sampling(logits, top_k=top_k, top_p=1.0, temperature=temperature) + if(idx==0):###第一次跑不能EOS否则没有了 + logits = logits[:, :-1] ###刨除1024终止符号的概率 + samples = sample( + logits[0], y, top_k=top_k, top_p=1.0, repetition_penalty=1.35 + )[0].unsqueeze(0) + if early_stop_num != -1 and (y.shape[1] - prefix_len) > early_stop_num: + print("use early stop num:", early_stop_num) + stop = True + + if torch.argmax(logits, dim=-1)[0] == self.EOS or samples[0, 0] == self.EOS: + # print(torch.argmax(logits, dim=-1)[0] == self.EOS, samples[0, 0] == self.EOS) + stop = True + if stop: + if prompts.shape[1] == y.shape[1]: + y = torch.concat([y, torch.zeros_like(samples)], dim=1) + print("bad zero prediction") + print(f"T2S Decoding EOS [{prefix_len} -> {y.shape[1]}]") + break + # 本次生成的 semantic_ids 和之前的 y 构成新的 y + # print(samples.shape)#[1,1]#第一个1是bs + y = torch.concat([y, samples], dim=1) + cache["first_infer"] = 0 + return y, idx diff --git a/GPT_SoVITS/AR/models/t2s_model_onnx.py b/GPT_SoVITS/AR/models/t2s_model_onnx.py new file mode 100644 index 0000000000000000000000000000000000000000..263b9337fe2a2629b37bb2797c9274cd7a3e1940 --- /dev/null +++ b/GPT_SoVITS/AR/models/t2s_model_onnx.py @@ -0,0 +1,337 @@ +# modified from https://github.com/feng-yufei/shared_debugging_code/blob/main/model/t2s_model.py +import torch +from tqdm import tqdm + +from AR.modules.embedding_onnx import SinePositionalEmbedding +from AR.modules.embedding_onnx import TokenEmbedding +from AR.modules.transformer_onnx import LayerNorm +from AR.modules.transformer_onnx import TransformerEncoder +from AR.modules.transformer_onnx import TransformerEncoderLayer +from torch import nn +from torch.nn import functional as F +from torchmetrics.classification import MulticlassAccuracy + +default_config = { + "embedding_dim": 512, + "hidden_dim": 512, + "num_head": 8, + "num_layers": 12, + "num_codebook": 8, + "p_dropout": 0.0, + "vocab_size": 1024 + 1, + "phoneme_vocab_size": 512, + "EOS": 1024, +} + +inf_tensor_value = torch.FloatTensor([-float("Inf")]).float() + +def logits_to_probs( + logits, + previous_tokens = None, + temperature: float = 1.0, + top_k = None, + top_p = None, + repetition_penalty: float = 1.0, +): + previous_tokens = previous_tokens.squeeze() + if previous_tokens is not None and repetition_penalty != 1.0: + previous_tokens = previous_tokens.long() + score = torch.gather(logits, dim=0, index=previous_tokens) + score = torch.where( + score < 0, score * repetition_penalty, score / repetition_penalty + ) + logits.scatter_(dim=0, index=previous_tokens, src=score) + + if top_p is not None and top_p < 1.0: + sorted_logits, sorted_indices = torch.sort(logits, descending=True) + cum_probs = torch.cumsum( + torch.nn.functional.softmax(sorted_logits, dim=-1), dim=-1 + ) + sorted_indices_to_remove = cum_probs > top_p + sorted_indices_to_remove[0] = False # keep at least one option + indices_to_remove = sorted_indices_to_remove.scatter( + dim=0, index=sorted_indices, src=sorted_indices_to_remove + ) + logits = logits.masked_fill(indices_to_remove, -float("Inf")) + + logits = logits / max(temperature, 1e-5) + + if top_k is not None: + v, _ = torch.topk(logits, min(top_k, logits.size(-1))) + pivot = v.select(-1, -1).unsqueeze(-1) + logits = torch.where(logits < pivot, inf_tensor_value, logits) + + probs = torch.nn.functional.softmax(logits, dim=-1) + return probs + + +def multinomial_sample_one_no_sync( + probs_sort +): # Does multinomial sampling without a cuda synchronization + q = torch.randn_like(probs_sort) + return torch.argmax(probs_sort / q, dim=-1, keepdim=True).to(dtype=torch.int) + + +def sample( + logits, + previous_tokens, + **sampling_kwargs, +): + probs = logits_to_probs( + logits=logits, previous_tokens=previous_tokens, **sampling_kwargs + ) + idx_next = multinomial_sample_one_no_sync(probs) + return idx_next, probs + + +class OnnxEncoder(nn.Module): + def __init__(self, ar_text_embedding, bert_proj, ar_text_position): + super().__init__() + self.ar_text_embedding = ar_text_embedding + self.bert_proj = bert_proj + self.ar_text_position = ar_text_position + + def forward(self, x, bert_feature): + x = self.ar_text_embedding(x) + x = x + self.bert_proj(bert_feature.transpose(1, 2)) + return self.ar_text_position(x) + + +class T2SFirstStageDecoder(nn.Module): + def __init__(self, ar_audio_embedding, ar_audio_position, h, ar_predict_layer, loss_fct, ar_accuracy_metric, + top_k, early_stop_num, num_layers): + super().__init__() + self.ar_audio_embedding = ar_audio_embedding + self.ar_audio_position = ar_audio_position + self.h = h + self.ar_predict_layer = ar_predict_layer + self.loss_fct = loss_fct + self.ar_accuracy_metric = ar_accuracy_metric + self.top_k = top_k + self.early_stop_num = early_stop_num + self.num_layers = num_layers + + def forward(self, x, prompt): + y = prompt + x_example = x[:,:,0] * 0.0 + #N, 1, 512 + cache = { + "all_stage": self.num_layers, + "k": None, + "v": None, + "y_emb": None, + "first_infer": 1, + "stage": 0, + } + + y_emb = self.ar_audio_embedding(y) + + cache["y_emb"] = y_emb + y_pos = self.ar_audio_position(y_emb) + + xy_pos = torch.concat([x, y_pos], dim=1) + + y_example = y_pos[:,:,0] * 0.0 + x_attn_mask = torch.matmul(x_example.transpose(0, 1) , x_example).bool() + y_attn_mask = torch.ones_like(torch.matmul(y_example.transpose(0, 1), y_example), dtype=torch.int64) + y_attn_mask = torch.cumsum(y_attn_mask, dim=1) - torch.cumsum( + torch.ones_like(y_example.transpose(0, 1), dtype=torch.int64), dim=0 + ) + y_attn_mask = y_attn_mask > 0 + + x_y_pad = torch.matmul(x_example.transpose(0, 1), y_example).bool() + y_x_pad = torch.matmul(y_example.transpose(0, 1), x_example).bool() + x_attn_mask_pad = torch.cat([x_attn_mask, torch.ones_like(x_y_pad)], dim=1) + y_attn_mask = torch.cat([y_x_pad, y_attn_mask], dim=1) + xy_attn_mask = torch.concat([x_attn_mask_pad, y_attn_mask], dim=0) + cache["k"] = torch.matmul(x_attn_mask_pad[0].float().unsqueeze(-1), torch.zeros((1, 512)))\ + .unsqueeze(1).repeat(self.num_layers, 1, 1, 1) + cache["v"] = torch.matmul(x_attn_mask_pad[0].float().unsqueeze(-1), torch.zeros((1, 512)))\ + .unsqueeze(1).repeat(self.num_layers, 1, 1, 1) + + xy_dec = self.h(xy_pos, mask=xy_attn_mask, cache=cache) + logits = self.ar_predict_layer(xy_dec[:, -1]) + samples = sample(logits[0], y, top_k=self.top_k, top_p=1.0, repetition_penalty=1.35)[0].unsqueeze(0) + + y = torch.concat([y, samples], dim=1) + + return y, cache["k"], cache["v"], cache["y_emb"], x_example + + +class T2SStageDecoder(nn.Module): + def __init__(self, ar_audio_embedding, ar_audio_position, h, ar_predict_layer, loss_fct, ar_accuracy_metric, + top_k, early_stop_num, num_layers): + super().__init__() + self.ar_audio_embedding = ar_audio_embedding + self.ar_audio_position = ar_audio_position + self.h = h + self.ar_predict_layer = ar_predict_layer + self.loss_fct = loss_fct + self.ar_accuracy_metric = ar_accuracy_metric + self.top_k = top_k + self.early_stop_num = early_stop_num + self.num_layers = num_layers + + def forward(self, y, k, v, y_emb, x_example): + cache = { + "all_stage": self.num_layers, + "k": torch.nn.functional.pad(k, (0, 0, 0, 0, 0, 1)), + "v": torch.nn.functional.pad(v, (0, 0, 0, 0, 0, 1)), + "y_emb": y_emb, + "first_infer": 0, + "stage": 0, + } + + y_emb = torch.cat( + [cache["y_emb"], self.ar_audio_embedding(y[:, -1:])], 1 + ) + cache["y_emb"] = y_emb + y_pos = self.ar_audio_position(y_emb) + + xy_pos = y_pos[:, -1:] + + y_example = y_pos[:,:,0] * 0.0 + + xy_attn_mask = torch.cat([x_example, y_example], dim=1) + xy_attn_mask = torch.zeros_like(xy_attn_mask, dtype=torch.bool) + + xy_dec = self.h(xy_pos, mask=xy_attn_mask, cache=cache) + logits = self.ar_predict_layer(xy_dec[:, -1]) + samples = sample(logits[0], y, top_k=self.top_k, top_p=1.0, repetition_penalty=1.35)[0].unsqueeze(0) + + y = torch.concat([y, samples], dim=1) + + return y, cache["k"], cache["v"], cache["y_emb"], logits, samples + + +class Text2SemanticDecoder(nn.Module): + def __init__(self, config, norm_first=False, top_k=3): + super(Text2SemanticDecoder, self).__init__() + self.model_dim = config["model"]["hidden_dim"] + self.embedding_dim = config["model"]["embedding_dim"] + self.num_head = config["model"]["head"] + self.num_layers = config["model"]["n_layer"] + self.norm_first = norm_first + self.vocab_size = config["model"]["vocab_size"] + self.phoneme_vocab_size = config["model"]["phoneme_vocab_size"] + self.p_dropout = float(config["model"]["dropout"]) + self.EOS = config["model"]["EOS"] + self.norm_first = norm_first + assert self.EOS == self.vocab_size - 1 + self.bert_proj = nn.Linear(1024, self.embedding_dim) + self.ar_text_embedding = TokenEmbedding(self.embedding_dim, self.phoneme_vocab_size, self.p_dropout) + self.ar_text_position = SinePositionalEmbedding(self.embedding_dim, dropout=0.1, scale=False, alpha=True) + self.ar_audio_embedding = TokenEmbedding(self.embedding_dim, self.vocab_size, self.p_dropout) + self.ar_audio_position = SinePositionalEmbedding(self.embedding_dim, dropout=0.1, scale=False, alpha=True) + self.h = TransformerEncoder( + TransformerEncoderLayer( + d_model=self.model_dim, + nhead=self.num_head, + dim_feedforward=self.model_dim * 4, + dropout=0.1, + batch_first=True, + norm_first=norm_first, + ), + num_layers=self.num_layers, + norm=LayerNorm(self.model_dim) if norm_first else None, + ) + self.ar_predict_layer = nn.Linear(self.model_dim, self.vocab_size, bias=False) + self.loss_fct = nn.CrossEntropyLoss(reduction="sum") + self.ar_accuracy_metric = MulticlassAccuracy( + self.vocab_size, + top_k=top_k, + average="micro", + multidim_average="global", + ignore_index=self.EOS, + ) + self.top_k = torch.LongTensor([1]) + self.early_stop_num = torch.LongTensor([-1]) + + def init_onnx(self): + self.onnx_encoder = OnnxEncoder(self.ar_text_embedding, self.bert_proj, self.ar_text_position) + self.first_stage_decoder = T2SFirstStageDecoder(self.ar_audio_embedding, self.ar_audio_position, self.h, + self.ar_predict_layer, self.loss_fct, self.ar_accuracy_metric, self.top_k, self.early_stop_num, + self.num_layers) + self.stage_decoder = T2SStageDecoder(self.ar_audio_embedding, self.ar_audio_position, self.h, + self.ar_predict_layer, self.loss_fct, self.ar_accuracy_metric, self.top_k, self.early_stop_num, + self.num_layers) + + def forward(self, x, prompts, bert_feature): + early_stop_num = self.early_stop_num + prefix_len = prompts.shape[1] + + x = self.onnx_encoder(x, bert_feature) + y, k, v, y_emb, stage, x_example = self.first_stage_decoder(x, prompts) + + stop = False + for idx in range(1, 1500): + enco = self.stage_decoder(y, k, v, y_emb, stage, x_example) + y, k, v, y_emb, stage, logits, samples = enco + if early_stop_num != -1 and (y.shape[1] - prefix_len) > early_stop_num: + stop = True + if torch.argmax(logits, dim=-1)[0] == self.EOS or samples[0, 0] == self.EOS: + stop = True + if stop: + break + y[0, -1] = 0 + return y, idx + + def infer(self, x, prompts, bert_feature): + top_k = self.top_k + early_stop_num = self.early_stop_num + + x = self.onnx_encoder(x, bert_feature) + + y = prompts + prefix_len = y.shape[1] + x_len = x.shape[1] + x_example = x[:,:,0] * 0.0 + x_attn_mask = torch.matmul(x_example.transpose(0, 1), x_example) + x_attn_mask = torch.zeros_like(x_attn_mask, dtype=torch.bool) + + stop = False + cache = { + "all_stage": self.num_layers, + "k": [None] * self.num_layers, + "v": [None] * self.num_layers, + "y_emb": None, + "first_infer": 1, + "stage": 0, + } + for idx in range(1500): + if cache["first_infer"] == 1: + y_emb = self.ar_audio_embedding(y) + else: + y_emb = torch.cat( + [cache["y_emb"], self.ar_audio_embedding(y[:, -1:])], 1 + ) + cache["y_emb"] = y_emb + y_pos = self.ar_audio_position(y_emb) + if cache["first_infer"] == 1: + xy_pos = torch.concat([x, y_pos], dim=1) + else: + xy_pos = y_pos[:, -1:] + y_len = y_pos.shape[1] + if cache["first_infer"] == 1: + x_attn_mask_pad = F.pad(x_attn_mask, (0, y_len), value=True) + y_attn_mask = F.pad( + torch.triu(torch.ones(y_len, y_len, dtype=torch.bool), diagonal=1), + (x_len, 0), value=False + ) + xy_attn_mask = torch.concat([x_attn_mask_pad, y_attn_mask], dim=0) + else: + xy_attn_mask = torch.zeros((1, x_len + y_len), dtype=torch.bool) + xy_dec = self.h(xy_pos, mask=xy_attn_mask, cache=cache) + logits = self.ar_predict_layer(xy_dec[:, -1]) + samples = sample(logits[0], y, top_k=top_k, top_p=1.0, repetition_penalty=1.35)[0].unsqueeze(0) + if early_stop_num != -1 and (y.shape[1] - prefix_len) > early_stop_num: + stop = True + if torch.argmax(logits, dim=-1)[0] == self.EOS or samples[0, 0] == self.EOS: + stop = True + if stop: + if prompts.shape[1] == y.shape[1]: + y = torch.concat([y, torch.zeros_like(samples)], dim=1) + break + y = torch.concat([y, samples], dim=1) + cache["first_infer"] = 0 + return y, idx \ No newline at end of file diff --git a/GPT_SoVITS/AR/models/utils.py b/GPT_SoVITS/AR/models/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..25fe44636d9126030b34c734a4bd5d0205c98e58 --- /dev/null +++ b/GPT_SoVITS/AR/models/utils.py @@ -0,0 +1,160 @@ +# modified from https://github.com/feng-yufei/shared_debugging_code/blob/main/model/utils.py\ +import torch +import torch.nn.functional as F + + +def sequence_mask(length, max_length=None): + if max_length is None: + max_length = length.max() + x = torch.arange(max_length, dtype=length.dtype, device=length.device) + return x.unsqueeze(0) < length.unsqueeze(1) + + +def make_pad_mask(lengths: torch.Tensor, max_len: int = 0) -> torch.Tensor: + """ + Args: + lengths: + A 1-D tensor containing sentence lengths. + max_len: + The length of masks. + Returns: + Return a 2-D bool tensor, where masked positions + are filled with `True` and non-masked positions are + filled with `False`. + + #>>> lengths = torch.tensor([1, 3, 2, 5]) + #>>> make_pad_mask(lengths) + tensor([[False, True, True, True, True], + [False, False, False, True, True], + [False, False, True, True, True], + [False, False, False, False, False]]) + """ + assert lengths.ndim == 1, lengths.ndim + max_len = max(max_len, lengths.max()) + n = lengths.size(0) + seq_range = torch.arange(0, max_len, device=lengths.device) + expaned_lengths = seq_range.unsqueeze(0).expand(n, max_len) + + return expaned_lengths >= lengths.unsqueeze(-1) + + +# https://github.com/microsoft/unilm/blob/master/xtune/src/transformers/modeling_utils.py +def top_k_top_p_filtering( + logits, top_k=0, top_p=1.0, filter_value=-float("Inf"), min_tokens_to_keep=1 +): + """Filter a distribution of logits using top-k and/or nucleus (top-p) filtering + Args: + logits: logits distribution shape (batch size, vocabulary size) + if top_k > 0: keep only top k tokens with highest probability (top-k filtering). + if top_p < 1.0: keep the top tokens with cumulative probability >= top_p (nucleus filtering). + Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751) + Make sure we keep at least min_tokens_to_keep per batch example in the output + From: https://gist.github.com/thomwolf/1a5a29f6962089e871b94cbd09daf317 + """ + if top_k > 0: + top_k = min(max(top_k, min_tokens_to_keep), logits.size(-1)) # Safety check + # Remove all tokens with a probability less than the last token of the top-k + indices_to_remove = logits < torch.topk(logits, top_k)[0][..., -1, None] + logits[indices_to_remove] = filter_value + + if top_p < 1.0: + sorted_logits, sorted_indices = torch.sort(logits, descending=True) + cumulative_probs = torch.cumsum(F.softmax(sorted_logits, dim=-1), dim=-1) + + # Remove tokens with cumulative probability above the threshold (token with 0 are kept) + sorted_indices_to_remove = cumulative_probs > top_p + if min_tokens_to_keep > 1: + # Keep at least min_tokens_to_keep (set to min_tokens_to_keep-1 because we add the first one below) + sorted_indices_to_remove[..., :min_tokens_to_keep] = 0 + # Shift the indices to the right to keep also the first token above the threshold + sorted_indices_to_remove[..., 1:] = sorted_indices_to_remove[..., :-1].clone() + sorted_indices_to_remove[..., 0] = 0 + + # scatter sorted tensors to original indexing + indices_to_remove = sorted_indices_to_remove.scatter( + 1, sorted_indices, sorted_indices_to_remove + ) + logits[indices_to_remove] = filter_value + return logits + + +def topk_sampling(logits, top_k=10, top_p=1.0, temperature=1.0): + # temperature: (`optional`) float + # The value used to module the next token probabilities. Must be strictly positive. Default to 1.0. + # top_k: (`optional`) int + # The number of highest probability vocabulary tokens to keep for top-k-filtering. Between 1 and infinity. Default to 50. + # top_p: (`optional`) float + # The cumulative probability of parameter highest probability vocabulary tokens to keep for nucleus sampling. Must be between 0 and 1. Default to 1. + + # Temperature (higher temperature => more likely to sample low probability tokens) + if temperature != 1.0: + logits = logits / temperature + # Top-p/top-k filtering + logits = top_k_top_p_filtering(logits, top_k=top_k, top_p=top_p) + # Sample + token = torch.multinomial(F.softmax(logits, dim=-1), num_samples=1) + return token + + +from typing import Optional, Tuple + + +def multinomial_sample_one_no_sync( + probs_sort, +): # Does multinomial sampling without a cuda synchronization + q = torch.empty_like(probs_sort).exponential_(1) + return torch.argmax(probs_sort / q, dim=-1, keepdim=True).to(dtype=torch.int) + + +def logits_to_probs( + logits, + previous_tokens: Optional[torch.Tensor] = None, + temperature: float = 1.0, + top_k: Optional[int] = None, + top_p: Optional[int] = None, + repetition_penalty: float = 1.0, +): + previous_tokens = previous_tokens.squeeze() + # print(logits.shape,previous_tokens.shape) + # pdb.set_trace() + if previous_tokens is not None and repetition_penalty != 1.0: + previous_tokens = previous_tokens.long() + score = torch.gather(logits, dim=0, index=previous_tokens) + score = torch.where( + score < 0, score * repetition_penalty, score / repetition_penalty + ) + logits.scatter_(dim=0, index=previous_tokens, src=score) + + if top_p is not None and top_p < 1.0: + sorted_logits, sorted_indices = torch.sort(logits, descending=True) + cum_probs = torch.cumsum( + torch.nn.functional.softmax(sorted_logits, dim=-1), dim=-1 + ) + sorted_indices_to_remove = cum_probs > top_p + sorted_indices_to_remove[0] = False # keep at least one option + indices_to_remove = sorted_indices_to_remove.scatter( + dim=0, index=sorted_indices, src=sorted_indices_to_remove + ) + logits = logits.masked_fill(indices_to_remove, -float("Inf")) + + logits = logits / max(temperature, 1e-5) + + if top_k is not None: + v, _ = torch.topk(logits, min(top_k, logits.size(-1))) + pivot = v.select(-1, -1).unsqueeze(-1) + logits = torch.where(logits < pivot, -float("Inf"), logits) + + probs = torch.nn.functional.softmax(logits, dim=-1) + return probs + + +def sample( + logits, + previous_tokens: Optional[torch.Tensor] = None, + **sampling_kwargs, +) -> Tuple[torch.Tensor, torch.Tensor]: + probs = logits_to_probs( + logits=logits, previous_tokens=previous_tokens, **sampling_kwargs + ) + idx_next = multinomial_sample_one_no_sync(probs) + return idx_next, probs diff --git a/GPT_SoVITS/AR/modules/__init__.py b/GPT_SoVITS/AR/modules/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/GPT_SoVITS/AR/modules/activation.py b/GPT_SoVITS/AR/modules/activation.py new file mode 100644 index 0000000000000000000000000000000000000000..5ca888b5e557777be5a09482a84ce00967f67236 --- /dev/null +++ b/GPT_SoVITS/AR/modules/activation.py @@ -0,0 +1,428 @@ +# modified from https://github.com/lifeiteng/vall-e/blob/main/valle/modules/activation.py +from typing import Optional +from typing import Tuple +import torch +from torch import Tensor +from torch.nn import Linear +from torch.nn import Module +from torch.nn.init import constant_ +from torch.nn.init import xavier_normal_ +from torch.nn.init import xavier_uniform_ +from torch.nn.modules.linear import NonDynamicallyQuantizableLinear +from torch.nn.parameter import Parameter + +from torch.nn import functional as F +from AR.modules.patched_mha_with_cache import multi_head_attention_forward_patched + +F.multi_head_attention_forward = multi_head_attention_forward_patched + + +class MultiheadAttention(Module): + r"""Allows the model to jointly attend to information + from different representation subspaces as described in the paper: + `Attention Is All You Need `_. + + Multi-Head Attention is defined as: + + .. math:: + \text{MultiHead}(Q, K, V) = \text{Concat}(head_1,\dots,head_h)W^O + + where :math:`head_i = \text{Attention}(QW_i^Q, KW_i^K, VW_i^V)`. + + ``forward()`` will use a special optimized implementation if all of the following + conditions are met: + + - self attention is being computed (i.e., ``query``, ``key``, and ``value`` are the same tensor. This + restriction will be loosened in the future.) + - Either autograd is disabled (using ``torch.inference_mode`` or ``torch.no_grad``) or no tensor argument ``requires_grad`` + - training is disabled (using ``.eval()``) + - dropout is 0 + - ``add_bias_kv`` is ``False`` + - ``add_zero_attn`` is ``False`` + - ``batch_first`` is ``True`` and the input is batched + - ``kdim`` and ``vdim`` are equal to ``embed_dim`` + - at most one of ``key_padding_mask`` or ``attn_mask`` is passed + - if a `NestedTensor `_ is passed, neither ``key_padding_mask`` + nor ``attn_mask`` is passed + + If the optimized implementation is in use, a + `NestedTensor `_ can be passed for + ``query``/``key``/``value`` to represent padding more efficiently than using a + padding mask. In this case, a `NestedTensor `_ + will be returned, and an additional speedup proportional to the fraction of the input + that is padding can be expected. + + Args: + embed_dim: Total dimension of the model. + num_heads: Number of parallel attention heads. Note that ``embed_dim`` will be split + across ``num_heads`` (i.e. each head will have dimension ``embed_dim // num_heads``). + dropout: Dropout probability on ``attn_output_weights``. Default: ``0.0`` (no dropout). + bias: If specified, adds bias to input / output projection layers. Default: ``True``. + add_bias_kv: If specified, adds bias to the key and value sequences at dim=0. Default: ``False``. + add_zero_attn: If specified, adds a new batch of zeros to the key and value sequences at dim=1. + Default: ``False``. + kdim: Total number of features for keys. Default: ``None`` (uses ``kdim=embed_dim``). + vdim: Total number of features for values. Default: ``None`` (uses ``vdim=embed_dim``). + batch_first: If ``True``, then the input and output tensors are provided + as (batch, seq, feature). Default: ``False`` (seq, batch, feature). + + Examples:: + + >>> # xdoctest: +SKIP + >>> multihead_attn = nn.MultiheadAttention(embed_dim, num_heads) + >>> attn_output, attn_output_weights = multihead_attn(query, key, value) + + """ + __constants__ = ["batch_first"] + bias_k: Optional[torch.Tensor] + bias_v: Optional[torch.Tensor] + + def __init__( + self, + embed_dim, + num_heads, + dropout=0.0, + bias=True, + add_bias_kv=False, + add_zero_attn=False, + kdim=None, + vdim=None, + batch_first=False, + linear1_cls=Linear, + linear2_cls=Linear, + device=None, + dtype=None, + ) -> None: + factory_kwargs = {"device": device, "dtype": dtype} + super(MultiheadAttention, self).__init__() + self.embed_dim = embed_dim + self.kdim = kdim if kdim is not None else embed_dim + self.vdim = vdim if vdim is not None else embed_dim + self._qkv_same_embed_dim = self.kdim == embed_dim and self.vdim == embed_dim + + self.num_heads = num_heads + self.dropout = dropout + self.batch_first = batch_first + self.head_dim = embed_dim // num_heads + assert ( + self.head_dim * num_heads == self.embed_dim + ), "embed_dim must be divisible by num_heads" + + if add_bias_kv: + self.bias_k = Parameter(torch.empty((1, 1, embed_dim), **factory_kwargs)) + self.bias_v = Parameter(torch.empty((1, 1, embed_dim), **factory_kwargs)) + else: + self.bias_k = self.bias_v = None + + if linear1_cls == Linear: + if not self._qkv_same_embed_dim: + self.q_proj_weight = Parameter( + torch.empty((embed_dim, embed_dim), **factory_kwargs) + ) + self.k_proj_weight = Parameter( + torch.empty((embed_dim, self.kdim), **factory_kwargs) + ) + self.v_proj_weight = Parameter( + torch.empty((embed_dim, self.vdim), **factory_kwargs) + ) + self.register_parameter("in_proj_weight", None) + else: + self.in_proj_weight = Parameter( + torch.empty((3 * embed_dim, embed_dim), **factory_kwargs) + ) + self.register_parameter("q_proj_weight", None) + self.register_parameter("k_proj_weight", None) + self.register_parameter("v_proj_weight", None) + + if bias: + self.in_proj_bias = Parameter( + torch.empty(3 * embed_dim, **factory_kwargs) + ) + else: + self.register_parameter("in_proj_bias", None) + self.out_proj = NonDynamicallyQuantizableLinear( + embed_dim, embed_dim, bias=bias, **factory_kwargs + ) + + self._reset_parameters() + else: + if not self._qkv_same_embed_dim: + raise NotImplementedError + else: + self.in_proj_linear = linear1_cls( + embed_dim, 3 * embed_dim, bias=bias, **factory_kwargs + ) + self.in_proj_weight = self.in_proj_linear.weight + + self.register_parameter("q_proj_weight", None) + self.register_parameter("k_proj_weight", None) + self.register_parameter("v_proj_weight", None) + + if bias: + self.in_proj_bias = self.in_proj_linear.bias + else: + self.register_parameter("in_proj_bias", None) + + self.out_proj = linear2_cls( + embed_dim, embed_dim, bias=bias, **factory_kwargs + ) + + if self.bias_k is not None: + xavier_normal_(self.bias_k) + if self.bias_v is not None: + xavier_normal_(self.bias_v) + + self.add_zero_attn = add_zero_attn + + def _reset_parameters(self): + if self._qkv_same_embed_dim: + xavier_uniform_(self.in_proj_weight) + else: + xavier_uniform_(self.q_proj_weight) + xavier_uniform_(self.k_proj_weight) + xavier_uniform_(self.v_proj_weight) + + if self.in_proj_bias is not None: + constant_(self.in_proj_bias, 0.0) + constant_(self.out_proj.bias, 0.0) + + if self.bias_k is not None: + xavier_normal_(self.bias_k) + if self.bias_v is not None: + xavier_normal_(self.bias_v) + + def __setstate__(self, state): + # Support loading old MultiheadAttention checkpoints generated by v1.1.0 + if "_qkv_same_embed_dim" not in state: + state["_qkv_same_embed_dim"] = True + + super(MultiheadAttention, self).__setstate__(state) + + def forward( + self, + query: Tensor, + key: Tensor, + value: Tensor, + key_padding_mask: Optional[Tensor] = None, + need_weights: bool = True, + attn_mask: Optional[Tensor] = None, + average_attn_weights: bool = True, + cache=None, + ) -> Tuple[Tensor, Optional[Tensor]]: + r""" + Args: + query: Query embeddings of shape :math:`(L, E_q)` for unbatched input, :math:`(L, N, E_q)` when ``batch_first=False`` + or :math:`(N, L, E_q)` when ``batch_first=True``, where :math:`L` is the target sequence length, + :math:`N` is the batch size, and :math:`E_q` is the query embedding dimension ``embed_dim``. + Queries are compared against key-value pairs to produce the output. + See "Attention Is All You Need" for more details. + key: Key embeddings of shape :math:`(S, E_k)` for unbatched input, :math:`(S, N, E_k)` when ``batch_first=False`` + or :math:`(N, S, E_k)` when ``batch_first=True``, where :math:`S` is the source sequence length, + :math:`N` is the batch size, and :math:`E_k` is the key embedding dimension ``kdim``. + See "Attention Is All You Need" for more details. + value: Value embeddings of shape :math:`(S, E_v)` for unbatched input, :math:`(S, N, E_v)` when + ``batch_first=False`` or :math:`(N, S, E_v)` when ``batch_first=True``, where :math:`S` is the source + sequence length, :math:`N` is the batch size, and :math:`E_v` is the value embedding dimension ``vdim``. + See "Attention Is All You Need" for more details. + key_padding_mask: If specified, a mask of shape :math:`(N, S)` indicating which elements within ``key`` + to ignore for the purpose of attention (i.e. treat as "padding"). For unbatched `query`, shape should be :math:`(S)`. + Binary and byte masks are supported. + For a binary mask, a ``True`` value indicates that the corresponding ``key`` value will be ignored for + the purpose of attention. For a float mask, it will be directly added to the corresponding ``key`` value. + need_weights: If specified, returns ``attn_output_weights`` in addition to ``attn_outputs``. + Default: ``True``. + attn_mask: If specified, a 2D or 3D mask preventing attention to certain positions. Must be of shape + :math:`(L, S)` or :math:`(N\cdot\text{num\_heads}, L, S)`, where :math:`N` is the batch size, + :math:`L` is the target sequence length, and :math:`S` is the source sequence length. A 2D mask will be + broadcasted across the batch while a 3D mask allows for a different mask for each entry in the batch. + Binary, byte, and float masks are supported. For a binary mask, a ``True`` value indicates that the + corresponding position is not allowed to attend. For a byte mask, a non-zero value indicates that the + corresponding position is not allowed to attend. For a float mask, the mask values will be added to + the attention weight. + average_attn_weights: If true, indicates that the returned ``attn_weights`` should be averaged across + heads. Otherwise, ``attn_weights`` are provided separately per head. Note that this flag only has an + effect when ``need_weights=True``. Default: ``True`` (i.e. average weights across heads) + + Outputs: + - **attn_output** - Attention outputs of shape :math:`(L, E)` when input is unbatched, + :math:`(L, N, E)` when ``batch_first=False`` or :math:`(N, L, E)` when ``batch_first=True``, + where :math:`L` is the target sequence length, :math:`N` is the batch size, and :math:`E` is the + embedding dimension ``embed_dim``. + - **attn_output_weights** - Only returned when ``need_weights=True``. If ``average_attn_weights=True``, + returns attention weights averaged across heads of shape :math:`(L, S)` when input is unbatched or + :math:`(N, L, S)`, where :math:`N` is the batch size, :math:`L` is the target sequence length, and + :math:`S` is the source sequence length. If ``average_attn_weights=False``, returns attention weights per + head of shape :math:`(\text{num\_heads}, L, S)` when input is unbatched or :math:`(N, \text{num\_heads}, L, S)`. + + .. note:: + `batch_first` argument is ignored for unbatched inputs. + """ + is_batched = query.dim() == 3 + if key_padding_mask is not None: + _kpm_dtype = key_padding_mask.dtype + if _kpm_dtype != torch.bool and not torch.is_floating_point( + key_padding_mask + ): + raise AssertionError( + "only bool and floating types of key_padding_mask are supported" + ) + why_not_fast_path = "" + if not is_batched: + why_not_fast_path = ( + f"input not batched; expected query.dim() of 3 but got {query.dim()}" + ) + elif query is not key or key is not value: + # When lifting this restriction, don't forget to either + # enforce that the dtypes all match or test cases where + # they don't! + why_not_fast_path = "non-self attention was used (query, key, and value are not the same Tensor)" + elif self.in_proj_bias is not None and query.dtype != self.in_proj_bias.dtype: + why_not_fast_path = f"dtypes of query ({query.dtype}) and self.in_proj_bias ({self.in_proj_bias.dtype}) don't match" + elif ( + self.in_proj_weight is not None and query.dtype != self.in_proj_weight.dtype + ): + # this case will fail anyway, but at least they'll get a useful error message. + why_not_fast_path = f"dtypes of query ({query.dtype}) and self.in_proj_weight ({self.in_proj_weight.dtype}) don't match" + elif self.training: + why_not_fast_path = "training is enabled" + elif not self.batch_first: + why_not_fast_path = "batch_first was not True" + elif self.bias_k is not None: + why_not_fast_path = "self.bias_k was not None" + elif self.bias_v is not None: + why_not_fast_path = "self.bias_v was not None" + elif self.dropout: + why_not_fast_path = f"dropout was {self.dropout}, required zero" + elif self.add_zero_attn: + why_not_fast_path = "add_zero_attn was enabled" + elif not self._qkv_same_embed_dim: + why_not_fast_path = "_qkv_same_embed_dim was not True" + elif attn_mask is not None: + why_not_fast_path = "attn_mask was not None" + elif query.is_nested and key_padding_mask is not None: + why_not_fast_path = ( + "key_padding_mask is not supported with NestedTensor input" + ) + elif self.num_heads % 2 == 1: + why_not_fast_path = "num_heads is odd" + elif torch.is_autocast_enabled(): + why_not_fast_path = "autocast is enabled" + + if not why_not_fast_path: + tensor_args = ( + query, + key, + value, + self.in_proj_weight, + self.in_proj_bias, + self.out_proj.weight, + self.out_proj.bias, + ) + # We have to use list comprehensions below because TorchScript does not support + # generator expressions. + if torch.overrides.has_torch_function(tensor_args): + why_not_fast_path = "some Tensor argument has_torch_function" + elif not all( + [ + (x is None or x.is_cuda or "cpu" in str(x.device)) + for x in tensor_args + ] + ): + why_not_fast_path = "some Tensor argument is neither CUDA nor CPU" + elif torch.is_grad_enabled() and any( + [x is not None and x.requires_grad for x in tensor_args] + ): + why_not_fast_path = ( + "grad is enabled and at least one of query or the " + "input/output projection weights or biases requires_grad" + ) + if not why_not_fast_path: + return torch._native_multi_head_attention( + query, + key, + value, + self.embed_dim, + self.num_heads, + self.in_proj_weight, + self.in_proj_bias, + self.out_proj.weight, + self.out_proj.bias, + key_padding_mask if key_padding_mask is not None else attn_mask, + need_weights, + average_attn_weights, + 1 + if key_padding_mask is not None + else 0 + if attn_mask is not None + else None, + ) + + any_nested = query.is_nested or key.is_nested or value.is_nested + assert not any_nested, ( + "MultiheadAttention does not support NestedTensor outside of its fast path. " + + f"The fast path was not hit because {why_not_fast_path}" + ) + + if self.batch_first and is_batched: + # make sure that the transpose op does not affect the "is" property + if key is value: + if query is key: + query = key = value = query.transpose(1, 0) + else: + query, key = [x.transpose(1, 0) for x in (query, key)] + value = key + else: + query, key, value = [x.transpose(1, 0) for x in (query, key, value)] + + if not self._qkv_same_embed_dim: + attn_output, attn_output_weights = F.multi_head_attention_forward( + query, + key, + value, + self.embed_dim, + self.num_heads, + self.in_proj_weight, + self.in_proj_bias, + self.bias_k, + self.bias_v, + self.add_zero_attn, + self.dropout, + self.out_proj.weight, + self.out_proj.bias, + training=self.training, + key_padding_mask=key_padding_mask, + need_weights=need_weights, + attn_mask=attn_mask, + use_separate_proj_weight=True, + q_proj_weight=self.q_proj_weight, + k_proj_weight=self.k_proj_weight, + v_proj_weight=self.v_proj_weight, + average_attn_weights=average_attn_weights, + cache=cache, + ) + else: + attn_output, attn_output_weights = F.multi_head_attention_forward( + query, + key, + value, + self.embed_dim, + self.num_heads, + self.in_proj_weight, + self.in_proj_bias, + self.bias_k, + self.bias_v, + self.add_zero_attn, + self.dropout, + self.out_proj.weight, + self.out_proj.bias, + training=self.training, + key_padding_mask=key_padding_mask, + need_weights=need_weights, + attn_mask=attn_mask, + average_attn_weights=average_attn_weights, + cache=cache, + ) + if self.batch_first and is_batched: + return attn_output.transpose(1, 0), attn_output_weights + else: + return attn_output, attn_output_weights diff --git a/GPT_SoVITS/AR/modules/activation_onnx.py b/GPT_SoVITS/AR/modules/activation_onnx.py new file mode 100644 index 0000000000000000000000000000000000000000..b54acd999f165cb7d47a9388461e3f31164cd380 --- /dev/null +++ b/GPT_SoVITS/AR/modules/activation_onnx.py @@ -0,0 +1,178 @@ +# modified from https://github.com/lifeiteng/vall-e/blob/main/valle/modules/activation.py +from typing import Optional +from typing import Tuple +import torch +from torch import Tensor +from torch.nn import Linear +from torch.nn import Module +from torch.nn.init import constant_ +from torch.nn.init import xavier_normal_ +from torch.nn.init import xavier_uniform_ +from torch.nn.modules.linear import NonDynamicallyQuantizableLinear +from torch.nn.parameter import Parameter + +from torch.nn import functional as F +from AR.modules.patched_mha_with_cache_onnx import multi_head_attention_forward_patched + + +class MultiheadAttention(Module): + __constants__ = ["batch_first"] + bias_k: Optional[torch.Tensor] + bias_v: Optional[torch.Tensor] + + def __init__( + self, + embed_dim, + num_heads, + dropout=0.0, + bias=True, + add_bias_kv=False, + add_zero_attn=False, + kdim=None, + vdim=None, + batch_first=False, + linear1_cls=Linear, + linear2_cls=Linear, + device=None, + dtype=None, + ) -> None: + factory_kwargs = {"device": device, "dtype": dtype} + super(MultiheadAttention, self).__init__() + self.embed_dim = embed_dim + self.kdim = kdim if kdim is not None else embed_dim + self.vdim = vdim if vdim is not None else embed_dim + self._qkv_same_embed_dim = self.kdim == embed_dim and self.vdim == embed_dim + + self.num_heads = num_heads + self.dropout = dropout + self.batch_first = batch_first + self.head_dim = embed_dim // num_heads + assert ( + self.head_dim * num_heads == self.embed_dim + ), "embed_dim must be divisible by num_heads" + + if add_bias_kv: + self.bias_k = Parameter(torch.empty((1, 1, embed_dim), **factory_kwargs)) + self.bias_v = Parameter(torch.empty((1, 1, embed_dim), **factory_kwargs)) + else: + self.bias_k = self.bias_v = None + + if linear1_cls == Linear: + if not self._qkv_same_embed_dim: + self.q_proj_weight = Parameter( + torch.empty((embed_dim, embed_dim), **factory_kwargs) + ) + self.k_proj_weight = Parameter( + torch.empty((embed_dim, self.kdim), **factory_kwargs) + ) + self.v_proj_weight = Parameter( + torch.empty((embed_dim, self.vdim), **factory_kwargs) + ) + self.register_parameter("in_proj_weight", None) + else: + self.in_proj_weight = Parameter( + torch.empty((3 * embed_dim, embed_dim), **factory_kwargs) + ) + self.register_parameter("q_proj_weight", None) + self.register_parameter("k_proj_weight", None) + self.register_parameter("v_proj_weight", None) + + if bias: + self.in_proj_bias = Parameter( + torch.empty(3 * embed_dim, **factory_kwargs) + ) + else: + self.register_parameter("in_proj_bias", None) + self.out_proj = NonDynamicallyQuantizableLinear( + embed_dim, embed_dim, bias=bias, **factory_kwargs + ) + + self._reset_parameters() + else: + if not self._qkv_same_embed_dim: + raise NotImplementedError + else: + self.in_proj_linear = linear1_cls( + embed_dim, 3 * embed_dim, bias=bias, **factory_kwargs + ) + self.in_proj_weight = self.in_proj_linear.weight + + self.register_parameter("q_proj_weight", None) + self.register_parameter("k_proj_weight", None) + self.register_parameter("v_proj_weight", None) + + if bias: + self.in_proj_bias = self.in_proj_linear.bias + else: + self.register_parameter("in_proj_bias", None) + + self.out_proj = linear2_cls( + embed_dim, embed_dim, bias=bias, **factory_kwargs + ) + + if self.bias_k is not None: + xavier_normal_(self.bias_k) + if self.bias_v is not None: + xavier_normal_(self.bias_v) + + self.add_zero_attn = add_zero_attn + + def _reset_parameters(self): + if self._qkv_same_embed_dim: + xavier_uniform_(self.in_proj_weight) + else: + xavier_uniform_(self.q_proj_weight) + xavier_uniform_(self.k_proj_weight) + xavier_uniform_(self.v_proj_weight) + + if self.in_proj_bias is not None: + constant_(self.in_proj_bias, 0.0) + constant_(self.out_proj.bias, 0.0) + + if self.bias_k is not None: + xavier_normal_(self.bias_k) + if self.bias_v is not None: + xavier_normal_(self.bias_v) + + def __setstate__(self, state): + # Support loading old MultiheadAttention checkpoints generated by v1.1.0 + if "_qkv_same_embed_dim" not in state: + state["_qkv_same_embed_dim"] = True + + super(MultiheadAttention, self).__setstate__(state) + + def forward( + self, + query: Tensor, + key: Tensor, + value: Tensor, + key_padding_mask: Optional[Tensor] = None, + need_weights: bool = True, + attn_mask: Optional[Tensor] = None, + average_attn_weights: bool = True, + cache=None, + ) -> Tuple[Tensor, Optional[Tensor]]: + any_nested = query.is_nested or key.is_nested or value.is_nested + query = key = value = query.transpose(1, 0) + attn_output = multi_head_attention_forward_patched( + query, + key, + value, + self.embed_dim, + self.num_heads, + self.in_proj_weight, + self.in_proj_bias, + self.bias_k, + self.bias_v, + self.add_zero_attn, + self.dropout, + self.out_proj.weight, + self.out_proj.bias, + training=self.training, + key_padding_mask=key_padding_mask, + need_weights=need_weights, + attn_mask=attn_mask, + average_attn_weights=average_attn_weights, + cache=cache, + ) + return attn_output.transpose(1, 0) diff --git a/GPT_SoVITS/AR/modules/embedding.py b/GPT_SoVITS/AR/modules/embedding.py new file mode 100644 index 0000000000000000000000000000000000000000..3a382f93d8e5c87d6d52354937494703dc81523b --- /dev/null +++ b/GPT_SoVITS/AR/modules/embedding.py @@ -0,0 +1,81 @@ +# modified from https://github.com/lifeiteng/vall-e/blob/main/valle/modules/embedding.py +import math + +import torch +from torch import nn + + +class TokenEmbedding(nn.Module): + def __init__( + self, + embedding_dim: int, + vocab_size: int, + dropout: float = 0.0, + ): + super().__init__() + + self.vocab_size = vocab_size + self.embedding_dim = embedding_dim + + self.dropout = torch.nn.Dropout(p=dropout) + self.word_embeddings = nn.Embedding(self.vocab_size, self.embedding_dim) + + @property + def weight(self) -> torch.Tensor: + return self.word_embeddings.weight + + def embedding(self, index: int) -> torch.Tensor: + return self.word_embeddings.weight[index : index + 1] + + def forward(self, x: torch.Tensor): + x = self.word_embeddings(x) + x = self.dropout(x) + return x + + +class SinePositionalEmbedding(nn.Module): + def __init__( + self, + embedding_dim: int, + dropout: float = 0.0, + scale: bool = False, + alpha: bool = False, + ): + super().__init__() + self.embedding_dim = embedding_dim + self.x_scale = math.sqrt(embedding_dim) if scale else 1.0 + self.alpha = nn.Parameter(torch.ones(1), requires_grad=alpha) + self.dropout = torch.nn.Dropout(p=dropout) + + self.reverse = False + self.pe = None + self.extend_pe(torch.tensor(0.0).expand(1, 4000)) + + def extend_pe(self, x): + """Reset the positional encodings.""" + if self.pe is not None: + if self.pe.size(1) >= x.size(1): + if self.pe.dtype != x.dtype or self.pe.device != x.device: + self.pe = self.pe.to(dtype=x.dtype, device=x.device) + return + pe = torch.zeros(x.size(1), self.embedding_dim) + if self.reverse: + position = torch.arange( + x.size(1) - 1, -1, -1.0, dtype=torch.float32 + ).unsqueeze(1) + else: + position = torch.arange(0, x.size(1), dtype=torch.float32).unsqueeze(1) + div_term = torch.exp( + torch.arange(0, self.embedding_dim, 2, dtype=torch.float32) + * -(math.log(10000.0) / self.embedding_dim) + ) + pe[:, 0::2] = torch.sin(position * div_term) + pe[:, 1::2] = torch.cos(position * div_term) + pe = pe.unsqueeze(0) + self.pe = pe.to(device=x.device, dtype=x.dtype).detach() + + def forward(self, x: torch.Tensor) -> torch.Tensor: + self.extend_pe(x) + output = x.unsqueeze(-1) if x.ndim == 2 else x + output = output * self.x_scale + self.alpha * self.pe[:, : x.size(1)] + return self.dropout(output) diff --git a/GPT_SoVITS/AR/modules/embedding_onnx.py b/GPT_SoVITS/AR/modules/embedding_onnx.py new file mode 100644 index 0000000000000000000000000000000000000000..b93405b45005d6101da1a3947d3d188fc460ae4e --- /dev/null +++ b/GPT_SoVITS/AR/modules/embedding_onnx.py @@ -0,0 +1,63 @@ +# modified from https://github.com/lifeiteng/vall-e/blob/main/valle/modules/embedding.py +import math + +import torch +from torch import nn + + +class TokenEmbedding(nn.Module): + def __init__( + self, + embedding_dim: int, + vocab_size: int, + dropout: float = 0.0, + ): + super().__init__() + + self.vocab_size = vocab_size + self.embedding_dim = embedding_dim + + self.dropout = torch.nn.Dropout(p=dropout) + self.word_embeddings = nn.Embedding(self.vocab_size, self.embedding_dim) + + @property + def weight(self) -> torch.Tensor: + return self.word_embeddings.weight + + def embedding(self, index: int) -> torch.Tensor: + return self.word_embeddings.weight[index : index + 1] + + def forward(self, x: torch.Tensor): + x = self.word_embeddings(x) + x = self.dropout(x) + return x + + +class SinePositionalEmbedding(nn.Module): + def __init__( + self, + embedding_dim: int, + dropout: float = 0.0, + scale: bool = False, + alpha: bool = False, + ): + super().__init__() + self.embedding_dim = embedding_dim + self.x_scale = math.sqrt(embedding_dim) if scale else 1.0 + self.alpha = nn.Parameter(torch.ones(1), requires_grad=alpha) + self.dropout = torch.nn.Dropout(p=dropout) + self.reverse = False + self.div_term = torch.exp(torch.arange(0, self.embedding_dim, 2) * -(math.log(10000.0) / self.embedding_dim)) + + def extend_pe(self, x): + position = torch.cumsum(torch.ones_like(x[:,:,0]), dim=1).transpose(0, 1) + scpe = (position * self.div_term).unsqueeze(0) + pe = torch.cat([torch.sin(scpe), torch.cos(scpe)]).permute(1, 2, 0) + pe = pe.contiguous().view(1, -1, self.embedding_dim) + return pe + + def forward(self, x: torch.Tensor) -> torch.Tensor: + pe = self.extend_pe(x) + output = x.unsqueeze(-1) if x.ndim == 2 else x + output = output * self.x_scale + self.alpha * pe + return self.dropout(output) diff --git a/GPT_SoVITS/AR/modules/lr_schedulers.py b/GPT_SoVITS/AR/modules/lr_schedulers.py new file mode 100644 index 0000000000000000000000000000000000000000..7dec462b7b825c991b5925858b42056091a98379 --- /dev/null +++ b/GPT_SoVITS/AR/modules/lr_schedulers.py @@ -0,0 +1,82 @@ +# modified from https://github.com/feng-yufei/shared_debugging_code/blob/main/model/lr_schedulers.py +import math + +import torch +from matplotlib import pyplot as plt +from torch import nn +from torch.optim import Adam + + +class WarmupCosineLRSchedule(torch.optim.lr_scheduler._LRScheduler): + """ + Implements Warmup learning rate schedule until 'warmup_steps', going from 'init_lr' to 'peak_lr' for multiple optimizers. + """ + + def __init__( + self, + optimizer, + init_lr, + peak_lr, + end_lr, + warmup_steps=10000, + total_steps=400000, + current_step=0, + ): + self.init_lr = init_lr + self.peak_lr = peak_lr + self.end_lr = end_lr + self.optimizer = optimizer + self._warmup_rate = (peak_lr - init_lr) / warmup_steps + self._decay_rate = (end_lr - peak_lr) / (total_steps - warmup_steps) + self._current_step = current_step + self.lr = init_lr + self.warmup_steps = warmup_steps + self.total_steps = total_steps + self._last_lr = [self.lr] + + def set_lr(self, lr): + self._last_lr = [g["lr"] for g in self.optimizer.param_groups] + for g in self.optimizer.param_groups: + # g['lr'] = lr + g["lr"] = self.end_lr ###锁定用线性 + + def step(self): + if self._current_step < self.warmup_steps: + lr = self.init_lr + self._warmup_rate * self._current_step + + elif self._current_step > self.total_steps: + lr = self.end_lr + + else: + decay_ratio = (self._current_step - self.warmup_steps) / ( + self.total_steps - self.warmup_steps + ) + if decay_ratio < 0.0 or decay_ratio > 1.0: + raise RuntimeError( + "Decay ratio must be in [0.0, 1.0]. Fix LR scheduler settings." + ) + coeff = 0.5 * (1.0 + math.cos(math.pi * decay_ratio)) + lr = self.end_lr + coeff * (self.peak_lr - self.end_lr) + + self.lr = lr = self.end_lr = 0.002 ###锁定用线性###不听话，直接锁定！ + self.set_lr(lr) + self.lr = lr + self._current_step += 1 + return self.lr + + +if __name__ == "__main__": + m = nn.Linear(10, 10) + opt = Adam(m.parameters(), lr=1e-4) + s = WarmupCosineLRSchedule( + opt, 1e-6, 2e-4, 1e-6, warmup_steps=2000, total_steps=20000, current_step=0 + ) + lrs = [] + for i in range(25000): + s.step() + lrs.append(s.lr) + print(s.lr) + + plt.plot(lrs) + plt.plot(range(0, 25000), lrs) + plt.show() diff --git a/GPT_SoVITS/AR/modules/optim.py b/GPT_SoVITS/AR/modules/optim.py new file mode 100644 index 0000000000000000000000000000000000000000..98785f05b2e3aa123ae22955d677b9f68efec256 --- /dev/null +++ b/GPT_SoVITS/AR/modules/optim.py @@ -0,0 +1,622 @@ +# Copyright 2022 Xiaomi Corp. (authors: Daniel Povey) +# +# See ../LICENSE for clarification regarding multiple authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import contextlib +import logging +from collections import defaultdict +from typing import List +from typing import Tuple + +import torch +from torch import Tensor +from torch.optim import Optimizer + + +class BatchedOptimizer(Optimizer): + """ + This class adds to class Optimizer the capability to optimize parameters in batches: + it will stack the parameters and their grads for you so the optimizer can work + on tensors with an extra leading dimension. This is intended for speed with GPUs, + as it reduces the number of kernels launched in the optimizer. + + Args: + params: + """ + + def __init__(self, params, defaults): + super(BatchedOptimizer, self).__init__(params, defaults) + + @contextlib.contextmanager + def batched_params(self, param_group, group_params_names): + """ + This function returns (technically, yields) a list of + of tuples (p, state), where + p is a `fake` parameter that is stacked (over axis 0) from real parameters + that share the same shape, and its gradient is also stacked; + `state` is the state corresponding to this batch of parameters + (it will be physically located in the "state" for one of the real + parameters, the last one that has any particular shape and dtype). + + This function is decorated as a context manager so that it can + write parameters back to their "real" locations. + + The idea is, instead of doing: + + for p in group["params"]: + state = self.state[p] + ... + + you can do: + + with self.batched_params(group["params"]) as batches: + for p, state, p_names in batches: + ... + + + Args: + group: a parameter group, which is a list of parameters; should be + one of self.param_groups. + group_params_names: name for each parameter in group, + which is List[str]. + """ + batches = defaultdict( + list + ) # `batches` maps from tuple (dtype_as_str,*shape) to list of nn.Parameter + batches_names = defaultdict( + list + ) # `batches` maps from tuple (dtype_as_str,*shape) to list of str + + assert len(param_group) == len(group_params_names) + for p, named_p in zip(param_group, group_params_names): + key = (str(p.dtype), *p.shape) + batches[key].append(p) + batches_names[key].append(named_p) + + batches_names_keys = list(batches_names.keys()) + sorted_idx = sorted( + range(len(batches_names)), key=lambda i: batches_names_keys[i]) + batches_names = [ + batches_names[batches_names_keys[idx]] for idx in sorted_idx + ] + batches = [batches[batches_names_keys[idx]] for idx in sorted_idx] + + stacked_params_dict = dict() + + # turn batches into a list, in deterministic order. + # tuples will contain tuples of (stacked_param, state, stacked_params_names), + # one for each batch in `batches`. + tuples = [] + + for batch, batch_names in zip(batches, batches_names): + p = batch[0] + # we arbitrarily store the state in the + # state corresponding to the 1st parameter in the + # group. class Optimizer will take care of saving/loading state. + state = self.state[p] + p_stacked = torch.stack(batch) + grad = torch.stack([ + torch.zeros_like(p) if p.grad is None else p.grad for p in batch + ]) + p_stacked.grad = grad + stacked_params_dict[key] = p_stacked + tuples.append((p_stacked, state, batch_names)) + + yield tuples # <-- calling code will do the actual optimization here! + + for ((stacked_params, _state, _names), batch) in zip(tuples, batches): + for i, p in enumerate(batch): # batch is list of Parameter + p.copy_(stacked_params[i]) + + +class ScaledAdam(BatchedOptimizer): + """ + Implements 'Scaled Adam', a variant of Adam where we scale each parameter's update + proportional to the norm of that parameter; and also learn the scale of the parameter, + in log space, subject to upper and lower limits (as if we had factored each parameter as + param = underlying_param * log_scale.exp()) + + + Args: + params: The parameters or param_groups to optimize (like other Optimizer subclasses) + lr: The learning rate. We will typically use a learning rate schedule that starts + at 0.03 and decreases over time, i.e. much higher than other common + optimizers. + clipping_scale: (e.g. 2.0) + A scale for gradient-clipping: if specified, the normalized gradients + over the whole model will be clipped to have 2-norm equal to + `clipping_scale` times the median 2-norm over the most recent period + of `clipping_update_period` minibatches. By "normalized gradients", + we mean after multiplying by the rms parameter value for this tensor + [for non-scalars]; this is appropriate because our update is scaled + by this quantity. + betas: beta1,beta2 are momentum constants for regular momentum, and moving sum-sq grad. + Must satisfy 0 < beta <= beta2 < 1. + scalar_lr_scale: A scaling factor on the learning rate, that we use to update the + scale of each parameter tensor and scalar parameters of the mode.. + If each parameter were decomposed + as p * p_scale.exp(), where (p**2).mean().sqrt() == 1.0, scalar_lr_scale + would be a the scaling factor on the learning rate of p_scale. + eps: A general-purpose epsilon to prevent division by zero + param_min_rms: Minimum root-mean-square value of parameter tensor, for purposes of + learning the scale on the parameters (we'll constrain the rms of each non-scalar + parameter tensor to be >= this value) + param_max_rms: Maximum root-mean-square value of parameter tensor, for purposes of + learning the scale on the parameters (we'll constrain the rms of each non-scalar + parameter tensor to be <= this value) + scalar_max: Maximum absolute value for scalar parameters (applicable if your + model has any parameters with numel() == 1). + size_update_period: The periodicity, in steps, with which we update the size (scale) + of the parameter tensor. This is provided to save a little time + in the update. + clipping_update_period: if clipping_scale is specified, this is the period + """ + + def __init__( + self, + params, + lr=3e-02, + clipping_scale=None, + betas=(0.9, 0.98), + scalar_lr_scale=0.1, + eps=1.0e-08, + param_min_rms=1.0e-05, + param_max_rms=3.0, + scalar_max=10.0, + size_update_period=4, + clipping_update_period=100, + parameters_names=None, + show_dominant_parameters=True, ): + + assert parameters_names is not None, ( + "Please prepare parameters_names," + "which is a List[List[str]]. Each List[str] is for a group" + "and each str is for a parameter") + defaults = dict( + lr=lr, + clipping_scale=clipping_scale, + betas=betas, + scalar_lr_scale=scalar_lr_scale, + eps=eps, + param_min_rms=param_min_rms, + param_max_rms=param_max_rms, + scalar_max=scalar_max, + size_update_period=size_update_period, + clipping_update_period=clipping_update_period, ) + + super(ScaledAdam, self).__init__(params, defaults) + assert len(self.param_groups) == len(parameters_names) + self.parameters_names = parameters_names + self.show_dominant_parameters = show_dominant_parameters + + def __setstate__(self, state): + super(ScaledAdam, self).__setstate__(state) + + @torch.no_grad() + def step(self, closure=None): + """Performs a single optimization step. + + Arguments: + closure (callable, optional): A closure that reevaluates the model + and returns the loss. + """ + loss = None + if closure is not None: + with torch.enable_grad(): + loss = closure() + + batch = True + + for group, group_params_names in zip(self.param_groups, + self.parameters_names): + + with self.batched_params(group["params"], + group_params_names) as batches: + + # batches is list of pairs (stacked_param, state). stacked_param is like + # a regular parameter, and will have a .grad, but the 1st dim corresponds to + # a stacking dim, it is not a real dim. + + if (len(batches[0][1]) == + 0): # if len(first state) == 0: not yet initialized + clipping_scale = 1 + else: + clipping_scale = self._get_clipping_scale(group, batches) + + for p, state, _ in batches: + # Perform optimization step. + # grad is not going to be None, we handled that when creating the batches. + grad = p.grad + if grad.is_sparse: + raise RuntimeError( + "ScaledAdam optimizer does not support sparse gradients" + ) + # State initialization + if len(state) == 0: + self._init_state(group, p, state) + + self._step_one_batch(group, p, state, clipping_scale) + + return loss + + def _init_state(self, group: dict, p: Tensor, state: dict): + """ + Initializes state dict for parameter 'p'. Assumes that dim 0 of tensor p + is actually the batch dimension, corresponding to batched-together + parameters of a given shape. + + + Args: + group: Dict to look up configuration values. + p: The parameter that we are initializing the state for + state: Dict from string to whatever state we are initializing + """ + size_update_period = group["size_update_period"] + + state["step"] = 0 + + kwargs = {"device": p.device, "dtype": p.dtype} + + # 'delta' implements conventional momentum. There are + # several different kinds of update going on, so rather than + # compute "exp_avg" like in Adam, we store and decay a + # parameter-change "delta", which combines all forms of + # update. this is equivalent to how it's done in Adam, + # except for the first few steps. + state["delta"] = torch.zeros_like( + p, memory_format=torch.preserve_format) + + batch_size = p.shape[0] + numel = p.numel() // batch_size + numel = p.numel() + + if numel > 1: + # "param_rms" just periodically records the scalar root-mean-square value of + # the parameter tensor. + # it has a shape like (batch_size, 1, 1, 1, 1) + param_rms = ( + (p**2).mean(dim=list(range(1, p.ndim)), keepdim=True).sqrt()) + state["param_rms"] = param_rms + + state["scale_exp_avg_sq"] = torch.zeros_like(param_rms) + state["scale_grads"] = torch.zeros(size_update_period, + *param_rms.shape, **kwargs) + + # exp_avg_sq is the weighted sum of scaled gradients. as in Adam. + state["exp_avg_sq"] = torch.zeros_like( + p, memory_format=torch.preserve_format) + + def _get_clipping_scale(self, + group: dict, + tuples: List[Tuple[Tensor, dict, List[str]]] + ) -> float: + """ + Returns a scalar factor <= 1.0 that dictates gradient clipping, i.e. we will scale the gradients + by this amount before applying the rest of the update. + + Args: + group: the parameter group, an item in self.param_groups + tuples: a list of tuples of (param, state, param_names) + where param is a batched set of parameters, + with a .grad (1st dim is batch dim) + and state is the state-dict where optimization parameters are kept. + param_names is a List[str] while each str is name for a parameter + in batched set of parameters "param". + """ + assert len(tuples) >= 1 + clipping_scale = group["clipping_scale"] + (first_p, first_state, _) = tuples[0] + step = first_state["step"] + if clipping_scale is None or step == 0: + # no clipping. return early on step == 0 because the other + # parameters' state won't have been initialized yet. + return 1.0 + clipping_update_period = group["clipping_update_period"] + + tot_sumsq = torch.tensor(0.0, device=first_p.device) + for (p, state, param_names) in tuples: + grad = p.grad + if grad.is_sparse: + raise RuntimeError( + "ScaledAdam optimizer does not support sparse gradients") + if p.numel() == p.shape[0]: # a batch of scalars + tot_sumsq += (grad**2).sum() # sum() to change shape [1] to [] + else: + tot_sumsq += ((grad * state["param_rms"])**2).sum() + + tot_norm = tot_sumsq.sqrt() + if "model_norms" not in first_state: + first_state["model_norms"] = torch.zeros( + clipping_update_period, device=p.device) + first_state["model_norms"][step % clipping_update_period] = tot_norm + + if step % clipping_update_period == 0: + # Print some stats. + # We don't reach here if step == 0 because we would have returned + # above. + sorted_norms = first_state["model_norms"].sort()[0].to("cpu") + quartiles = [] + for n in range(0, 5): + index = min( + clipping_update_period - 1, + (clipping_update_period // 4) * n, ) + quartiles.append(sorted_norms[index].item()) + + median = quartiles[2] + threshold = clipping_scale * median + first_state["model_norm_threshold"] = threshold + percent_clipped = (first_state["num_clipped"] * 100.0 / + clipping_update_period + if "num_clipped" in first_state else 0.0) + first_state["num_clipped"] = 0 + quartiles = " ".join(["%.3e" % x for x in quartiles]) + logging.info( + f"Clipping_scale={clipping_scale}, grad-norm quartiles {quartiles}, " + f"threshold={threshold:.3e}, percent-clipped={percent_clipped:.1f}" + ) + + if step < clipping_update_period: + return 1.0 # We have not yet estimated a norm to clip to. + else: + try: + model_norm_threshold = first_state["model_norm_threshold"] + except KeyError: + logging.info( + "Warning: model_norm_threshold not in state: possibly " + "you changed config when restarting, adding clipping_scale option?" + ) + return 1.0 + ans = min(1.0, (model_norm_threshold / (tot_norm + 1.0e-20)).item()) + if ans < 1.0: + first_state["num_clipped"] += 1 + if ans < 0.1: + logging.warn( + f"Scaling gradients by {ans}, model_norm_threshold={model_norm_threshold}" + ) + if self.show_dominant_parameters: + assert p.shape[0] == len(param_names) + self._show_gradient_dominating_parameter(tuples, tot_sumsq) + return ans + + def _show_gradient_dominating_parameter( + self, tuples: List[Tuple[Tensor, dict, List[str]]], + tot_sumsq: Tensor): + """ + Show information of parameter wihch dominanting tot_sumsq. + + Args: + tuples: a list of tuples of (param, state, param_names) + where param is a batched set of parameters, + with a .grad (1st dim is batch dim) + and state is the state-dict where optimization parameters are kept. + param_names is a List[str] while each str is name for a parameter + in batched set of parameters "param". + tot_sumsq: sumsq of all parameters. Though it's could be calculated + from tuples, we still pass it to save some time. + """ + all_sumsq_orig = {} + for (p, state, batch_param_names) in tuples: + # p is a stacked batch parameters. + batch_grad = p.grad + if p.numel() == p.shape[0]: # a batch of scalars + batch_sumsq_orig = batch_grad**2 + # Dummpy values used by following `zip` statement. + batch_rms_orig = torch.ones(p.shape[0]) + else: + batch_rms_orig = state["param_rms"] + batch_sumsq_orig = ((batch_grad * batch_rms_orig)**2).sum( + dim=list(range(1, batch_grad.ndim))) + + for name, sumsq_orig, rms, grad in zip(batch_param_names, + batch_sumsq_orig, + batch_rms_orig, batch_grad): + + proportion_orig = sumsq_orig / tot_sumsq + all_sumsq_orig[name] = (proportion_orig, sumsq_orig, rms, grad) + + assert torch.isclose( + sum([value[0] for value in all_sumsq_orig.values()]).cpu(), + torch.tensor(1.0), ) + sorted_by_proportion = { + k: v + for k, v in sorted( + all_sumsq_orig.items(), + key=lambda item: item[1][0], + reverse=True, ) + } + dominant_param_name = next(iter(sorted_by_proportion)) + (dominant_proportion, dominant_sumsq, dominant_rms, + dominant_grad, ) = sorted_by_proportion[dominant_param_name] + logging.info(f"Parameter Dominanting tot_sumsq {dominant_param_name}" + f" with proportion {dominant_proportion:.2f}," + f" where dominant_sumsq=(grad_sumsq*orig_rms_sq)" + f"={dominant_sumsq:.3e}," + f" grad_sumsq = {(dominant_grad**2).sum():.3e}," + f" orig_rms_sq={(dominant_rms**2).item():.3e}") + + def _step_one_batch(self, + group: dict, + p: Tensor, + state: dict, + clipping_scale: float): + """ + Do the step for one parameter, which is actually going to be a batch of + `real` parameters, with dim 0 as the batch dim. + Args: + group: dict to look up configuration values + p: parameter to update (actually multiple parameters stacked together + as a batch) + state: state-dict for p, to look up the optimizer state + """ + lr = group["lr"] + size_update_period = group["size_update_period"] + beta1 = group["betas"][0] + + grad = p.grad + if clipping_scale != 1.0: + grad = grad * clipping_scale + step = state["step"] + delta = state["delta"] + + delta.mul_(beta1) + batch_size = p.shape[0] + numel = p.numel() // batch_size + if numel > 1: + # Update the size/scale of p, and set param_rms + scale_grads = state["scale_grads"] + scale_grads[step % size_update_period] = (p * grad).sum( + dim=list(range(1, p.ndim)), keepdim=True) + if step % size_update_period == size_update_period - 1: + param_rms = state["param_rms"] # shape: (batch_size, 1, 1, ..) + param_rms.copy_((p**2) + .mean(dim=list(range(1, p.ndim)), keepdim=True) + .sqrt()) + if step > 0: + # self._size_update() learns the overall scale on the + # parameter, by shrinking or expanding it. + self._size_update(group, scale_grads, p, state) + + if numel == 1: + # For parameters with 1 element we just use regular Adam. + # Updates delta. + self._step_scalar(group, p, state) + else: + self._step(group, p, state) + + state["step"] = step + 1 + + def _size_update(self, + group: dict, + scale_grads: Tensor, + p: Tensor, + state: dict) -> None: + """ + Called only where p.numel() > 1, this updates the scale of the parameter. + If we imagine: p = underlying_param * scale.exp(), and we are doing + gradient descent on underlying param and on scale, this function does the update + on `scale`. + + Args: + group: dict to look up configuration values + scale_grads: a tensor of shape (size_update_period, batch_size, 1, 1,...) containing + grads w.r.t. the scales. + p: The parameter to update + state: The state-dict of p + """ + + param_rms = state["param_rms"] + beta1, beta2 = group["betas"] + size_lr = group["lr"] * group["scalar_lr_scale"] + param_min_rms = group["param_min_rms"] + param_max_rms = group["param_max_rms"] + eps = group["eps"] + step = state["step"] + batch_size = p.shape[0] + + size_update_period = scale_grads.shape[0] + # correct beta2 for the size update period: we will have + # faster decay at this level. + beta2_corr = beta2**size_update_period + + scale_exp_avg_sq = state[ + "scale_exp_avg_sq"] # shape: (batch_size, 1, 1, ..) + scale_exp_avg_sq.mul_(beta2_corr).add_( + (scale_grads**2).mean(dim=0), # mean over dim `size_update_period` + alpha=1 - beta2_corr, ) # shape is (batch_size, 1, 1, ...) + + # The 1st time we reach here is when size_step == 1. + size_step = (step + 1) // size_update_period + bias_correction2 = 1 - beta2_corr**size_step + # we don't bother with bias_correction1; this will help prevent divergence + # at the start of training. + + denom = scale_exp_avg_sq.sqrt() + eps + + scale_step = (-size_lr * (bias_correction2**0.5) * + scale_grads.sum(dim=0) / denom) + + is_too_small = param_rms < param_min_rms + is_too_large = param_rms > param_max_rms + + # when the param gets too small, just don't shrink it any further. + scale_step.masked_fill_(is_too_small, 0.0) + # when it gets too large, stop it from getting any larger. + scale_step.masked_fill_(is_too_large, -size_lr * size_update_period) + delta = state["delta"] + # the factor of (1-beta1) relates to momentum. + delta.add_(p * scale_step, alpha=(1 - beta1)) + + def _step(self, group: dict, p: Tensor, state: dict): + """ + This function does the core update of self.step(), in the case where the members of + the batch have more than 1 element. + + Args: + group: A dict which will be used to look up configuration values + p: The parameter to be updated + grad: The grad of p + state: The state-dict corresponding to parameter p + + This function modifies p. + """ + grad = p.grad + lr = group["lr"] + beta1, beta2 = group["betas"] + eps = group["eps"] + param_min_rms = group["param_min_rms"] + step = state["step"] + + exp_avg_sq = state["exp_avg_sq"] + exp_avg_sq.mul_(beta2).addcmul_(grad, grad, value=(1 - beta2)) + + this_step = state["step"] - (state["zero_step"] + if "zero_step" in state else 0) + bias_correction2 = 1 - beta2**(this_step + 1) + if bias_correction2 < 0.99: + # note: not in-place. + exp_avg_sq = exp_avg_sq * (1.0 / bias_correction2) + + denom = exp_avg_sq.sqrt() + denom += eps + grad = grad / denom + + alpha = -lr * (1 - beta1) * state["param_rms"].clamp(min=param_min_rms) + + delta = state["delta"] + delta.add_(grad * alpha) + p.add_(delta) + + def _step_scalar(self, group: dict, p: Tensor, state: dict): + """ + A simplified form of the core update for scalar tensors, where we cannot get a good + estimate of the parameter rms. + """ + beta1, beta2 = group["betas"] + scalar_max = group["scalar_max"] + eps = group["eps"] + lr = group["lr"] * group["scalar_lr_scale"] + grad = p.grad + + exp_avg_sq = state["exp_avg_sq"] # shape: (batch_size,) + exp_avg_sq.mul_(beta2).addcmul_(grad, grad, value=1 - beta2) + + # bias_correction2 is like in Adam. Don't bother with bias_correction1; + # slower update at the start will help stability anyway. + bias_correction2 = 1 - beta2**(state["step"] + 1) + denom = (exp_avg_sq / bias_correction2).sqrt() + eps + + delta = state["delta"] + delta.add_(grad / denom, alpha=-lr * (1 - beta1)) + p.clamp_(min=-scalar_max, max=scalar_max) + p.add_(delta) diff --git a/GPT_SoVITS/AR/modules/patched_mha_with_cache.py b/GPT_SoVITS/AR/modules/patched_mha_with_cache.py new file mode 100644 index 0000000000000000000000000000000000000000..57206703ca97a26ca14727cefa731eb0e508260b --- /dev/null +++ b/GPT_SoVITS/AR/modules/patched_mha_with_cache.py @@ -0,0 +1,463 @@ +from torch.nn.functional import * +from torch.nn.functional import ( + _mha_shape_check, + _canonical_mask, + _none_or_dtype, + _in_projection_packed, +) + +# import torch +# Tensor = torch.Tensor +# from typing import Callable, List, Optional, Tuple, Union + + +def multi_head_attention_forward_patched( + query: Tensor, + key: Tensor, + value: Tensor, + embed_dim_to_check: int, + num_heads: int, + in_proj_weight: Optional[Tensor], + in_proj_bias: Optional[Tensor], + bias_k: Optional[Tensor], + bias_v: Optional[Tensor], + add_zero_attn: bool, + dropout_p: float, + out_proj_weight: Tensor, + out_proj_bias: Optional[Tensor], + training: bool = True, + key_padding_mask: Optional[Tensor] = None, + need_weights: bool = True, + attn_mask: Optional[Tensor] = None, + use_separate_proj_weight: bool = False, + q_proj_weight: Optional[Tensor] = None, + k_proj_weight: Optional[Tensor] = None, + v_proj_weight: Optional[Tensor] = None, + static_k: Optional[Tensor] = None, + static_v: Optional[Tensor] = None, + average_attn_weights: bool = True, + is_causal: bool = False, + cache=None, +) -> Tuple[Tensor, Optional[Tensor]]: + r""" + Args: + query, key, value: map a query and a set of key-value pairs to an output. + See "Attention Is All You Need" for more details. + embed_dim_to_check: total dimension of the model. + num_heads: parallel attention heads. + in_proj_weight, in_proj_bias: input projection weight and bias. + bias_k, bias_v: bias of the key and value sequences to be added at dim=0. + add_zero_attn: add a new batch of zeros to the key and + value sequences at dim=1. + dropout_p: probability of an element to be zeroed. + out_proj_weight, out_proj_bias: the output projection weight and bias. + training: apply dropout if is ``True``. + key_padding_mask: if provided, specified padding elements in the key will + be ignored by the attention. This is an binary mask. When the value is True, + the corresponding value on the attention layer will be filled with -inf. + need_weights: output attn_output_weights. + Default: `True` + Note: `needs_weight` defaults to `True`, but should be set to `False` + For best performance when attention weights are not nedeeded. + *Setting needs_weights to `True` + leads to a significant performance degradation.* + attn_mask: 2D or 3D mask that prevents attention to certain positions. A 2D mask will be broadcasted for all + the batches while a 3D mask allows to specify a different mask for the entries of each batch. + is_causal: If specified, applies a causal mask as attention mask, and ignores + attn_mask for computing scaled dot product attention. + Default: ``False``. + .. warning:: + is_causal is provides a hint that the attn_mask is the + causal mask.Providing incorrect hints can result in + incorrect execution, including forward and backward + compatibility. + use_separate_proj_weight: the function accept the proj. weights for query, key, + and value in different forms. If false, in_proj_weight will be used, which is + a combination of q_proj_weight, k_proj_weight, v_proj_weight. + q_proj_weight, k_proj_weight, v_proj_weight, in_proj_bias: input projection weight and bias. + static_k, static_v: static key and value used for attention operators. + average_attn_weights: If true, indicates that the returned ``attn_weights`` should be averaged across heads. + Otherwise, ``attn_weights`` are provided separately per head. Note that this flag only has an effect + when ``need_weights=True.``. Default: True + + + Shape: + Inputs: + - query: :math:`(L, E)` or :math:`(L, N, E)` where L is the target sequence length, N is the batch size, E is + the embedding dimension. + - key: :math:`(S, E)` or :math:`(S, N, E)`, where S is the source sequence length, N is the batch size, E is + the embedding dimension. + - value: :math:`(S, E)` or :math:`(S, N, E)` where S is the source sequence length, N is the batch size, E is + the embedding dimension. + - key_padding_mask: :math:`(S)` or :math:`(N, S)` where N is the batch size, S is the source sequence length. + If a FloatTensor is provided, it will be directly added to the value. + If a BoolTensor is provided, the positions with the + value of ``True`` will be ignored while the position with the value of ``False`` will be unchanged. + - attn_mask: 2D mask :math:`(L, S)` where L is the target sequence length, S is the source sequence length. + 3D mask :math:`(N*num_heads, L, S)` where N is the batch size, L is the target sequence length, + S is the source sequence length. attn_mask ensures that position i is allowed to attend the unmasked + positions. If a BoolTensor is provided, positions with ``True`` + are not allowed to attend while ``False`` values will be unchanged. If a FloatTensor + is provided, it will be added to the attention weight. + - static_k: :math:`(N*num_heads, S, E/num_heads)`, where S is the source sequence length, + N is the batch size, E is the embedding dimension. E/num_heads is the head dimension. + - static_v: :math:`(N*num_heads, S, E/num_heads)`, where S is the source sequence length, + N is the batch size, E is the embedding dimension. E/num_heads is the head dimension. + + Outputs: + - attn_output: :math:`(L, E)` or :math:`(L, N, E)` where L is the target sequence length, N is the batch size, + E is the embedding dimension. + - attn_output_weights: Only returned when ``need_weights=True``. If ``average_attn_weights=True``, returns + attention weights averaged across heads of shape :math:`(L, S)` when input is unbatched or + :math:`(N, L, S)`, where :math:`N` is the batch size, :math:`L` is the target sequence length, and + :math:`S` is the source sequence length. If ``average_attn_weights=False``, returns attention weights per + head of shape :math:`(num_heads, L, S)` when input is unbatched or :math:`(N, num_heads, L, S)`. + """ + tens_ops = ( + query, + key, + value, + in_proj_weight, + in_proj_bias, + bias_k, + bias_v, + out_proj_weight, + out_proj_bias, + ) + if has_torch_function(tens_ops): + return handle_torch_function( + multi_head_attention_forward, + tens_ops, + query, + key, + value, + embed_dim_to_check, + num_heads, + in_proj_weight, + in_proj_bias, + bias_k, + bias_v, + add_zero_attn, + dropout_p, + out_proj_weight, + out_proj_bias, + training=training, + key_padding_mask=key_padding_mask, + need_weights=need_weights, + attn_mask=attn_mask, + is_causal=is_causal, + use_separate_proj_weight=use_separate_proj_weight, + q_proj_weight=q_proj_weight, + k_proj_weight=k_proj_weight, + v_proj_weight=v_proj_weight, + static_k=static_k, + static_v=static_v, + average_attn_weights=average_attn_weights, + cache=cache, + ) + + is_batched = _mha_shape_check( + query, key, value, key_padding_mask, attn_mask, num_heads + ) + + # For unbatched input, we unsqueeze at the expected batch-dim to pretend that the input + # is batched, run the computation and before returning squeeze the + # batch dimension so that the output doesn't carry this temporary batch dimension. + if not is_batched: + # unsqueeze if the input is unbatched + query = query.unsqueeze(1) + key = key.unsqueeze(1) + value = value.unsqueeze(1) + if key_padding_mask is not None: + key_padding_mask = key_padding_mask.unsqueeze(0) + + # set up shape vars + tgt_len, bsz, embed_dim = query.shape + src_len, _, _ = key.shape + + key_padding_mask = _canonical_mask( + mask=key_padding_mask, + mask_name="key_padding_mask", + other_type=_none_or_dtype(attn_mask), + other_name="attn_mask", + target_type=query.dtype, + ) + + if is_causal and attn_mask is None: + raise RuntimeError( + "Need attn_mask if specifying the is_causal hint. " + "You may use the Transformer module method " + "`generate_square_subsequent_mask` to create this mask." + ) + + if is_causal and key_padding_mask is None and not need_weights: + # when we have a kpm or need weights, we need attn_mask + # Otherwise, we use the is_causal hint go as is_causal + # indicator to SDPA. + attn_mask = None + else: + attn_mask = _canonical_mask( + mask=attn_mask, + mask_name="attn_mask", + other_type=None, + other_name="", + target_type=query.dtype, + check_other=False, + ) + + if key_padding_mask is not None: + # We have the attn_mask, and use that to merge kpm into it. + # Turn off use of is_causal hint, as the merged mask is no + # longer causal. + is_causal = False + + assert ( + embed_dim == embed_dim_to_check + ), f"was expecting embedding dimension of {embed_dim_to_check}, but got {embed_dim}" + if isinstance(embed_dim, torch.Tensor): + # embed_dim can be a tensor when JIT tracing + head_dim = embed_dim.div(num_heads, rounding_mode="trunc") + else: + head_dim = embed_dim // num_heads + assert ( + head_dim * num_heads == embed_dim + ), f"embed_dim {embed_dim} not divisible by num_heads {num_heads}" + if use_separate_proj_weight: + # allow MHA to have different embedding dimensions when separate projection weights are used + assert ( + key.shape[:2] == value.shape[:2] + ), f"key's sequence and batch dims {key.shape[:2]} do not match value's {value.shape[:2]}" + else: + assert ( + key.shape == value.shape + ), f"key shape {key.shape} does not match value shape {value.shape}" + + # + # compute in-projection + # + if not use_separate_proj_weight: + assert ( + in_proj_weight is not None + ), "use_separate_proj_weight is False but in_proj_weight is None" + q, k, v = _in_projection_packed(query, key, value, in_proj_weight, in_proj_bias) + else: + assert ( + q_proj_weight is not None + ), "use_separate_proj_weight is True but q_proj_weight is None" + assert ( + k_proj_weight is not None + ), "use_separate_proj_weight is True but k_proj_weight is None" + assert ( + v_proj_weight is not None + ), "use_separate_proj_weight is True but v_proj_weight is None" + if in_proj_bias is None: + b_q = b_k = b_v = None + else: + b_q, b_k, b_v = in_proj_bias.chunk(3) + q, k, v = _in_projection( + query, + key, + value, + q_proj_weight, + k_proj_weight, + v_proj_weight, + b_q, + b_k, + b_v, + ) + if cache != None: + if cache["first_infer"] == 1: + cache["k"][cache["stage"]] = k + # print(0,cache["k"].shape) + cache["v"][cache["stage"]] = v + else: ###12个layer每个都要留自己的cache_kv + # print(1,cache["k"].shape) + cache["k"][cache["stage"]] = torch.cat( + [cache["k"][cache["stage"]], k], 0 + ) ##本来时序是1，但是proj的时候可能transpose了所以时序到0维了 + cache["v"][cache["stage"]] = torch.cat([cache["v"][cache["stage"]], v], 0) + # print(2, cache["k"].shape) + src_len = cache["k"][cache["stage"]].shape[0] + k = cache["k"][cache["stage"]] + v = cache["v"][cache["stage"]] + # if attn_mask is not None: + # attn_mask=attn_mask[-1:,] + # print(attn_mask.shape,attn_mask) + cache["stage"] = (cache["stage"] + 1) % cache["all_stage"] + # print(2333,cache) + # prep attention mask + + attn_mask = _canonical_mask( + mask=attn_mask, + mask_name="attn_mask", + other_type=None, + other_name="", + target_type=q.dtype, + check_other=False, + ) + + if attn_mask is not None: + # ensure attn_mask's dim is 3 + if attn_mask.dim() == 2: + correct_2d_size = (tgt_len, src_len) + if attn_mask.shape != correct_2d_size: + raise RuntimeError( + f"The shape of the 2D attn_mask is {attn_mask.shape}, but should be {correct_2d_size}." + ) + attn_mask = attn_mask.unsqueeze(0) + elif attn_mask.dim() == 3: + correct_3d_size = (bsz * num_heads, tgt_len, src_len) + if attn_mask.shape != correct_3d_size: + raise RuntimeError( + f"The shape of the 3D attn_mask is {attn_mask.shape}, but should be {correct_3d_size}." + ) + else: + raise RuntimeError( + f"attn_mask's dimension {attn_mask.dim()} is not supported" + ) + + # add bias along batch dimension (currently second) + if bias_k is not None and bias_v is not None: + assert static_k is None, "bias cannot be added to static key." + assert static_v is None, "bias cannot be added to static value." + k = torch.cat([k, bias_k.repeat(1, bsz, 1)]) + v = torch.cat([v, bias_v.repeat(1, bsz, 1)]) + if attn_mask is not None: + attn_mask = pad(attn_mask, (0, 1)) + if key_padding_mask is not None: + key_padding_mask = pad(key_padding_mask, (0, 1)) + else: + assert bias_k is None + assert bias_v is None + + # + # reshape q, k, v for multihead attention and make em batch first + # + q = q.view(tgt_len, bsz * num_heads, head_dim).transpose(0, 1) + if static_k is None: + k = k.view(k.shape[0], bsz * num_heads, head_dim).transpose(0, 1) + else: + # TODO finish disentangling control flow so we don't do in-projections when statics are passed + assert ( + static_k.size(0) == bsz * num_heads + ), f"expecting static_k.size(0) of {bsz * num_heads}, but got {static_k.size(0)}" + assert ( + static_k.size(2) == head_dim + ), f"expecting static_k.size(2) of {head_dim}, but got {static_k.size(2)}" + k = static_k + if static_v is None: + v = v.view(v.shape[0], bsz * num_heads, head_dim).transpose(0, 1) + else: + # TODO finish disentangling control flow so we don't do in-projections when statics are passed + assert ( + static_v.size(0) == bsz * num_heads + ), f"expecting static_v.size(0) of {bsz * num_heads}, but got {static_v.size(0)}" + assert ( + static_v.size(2) == head_dim + ), f"expecting static_v.size(2) of {head_dim}, but got {static_v.size(2)}" + v = static_v + + # add zero attention along batch dimension (now first) + if add_zero_attn: + zero_attn_shape = (bsz * num_heads, 1, head_dim) + k = torch.cat( + [k, torch.zeros(zero_attn_shape, dtype=k.dtype, device=k.device)], dim=1 + ) + v = torch.cat( + [v, torch.zeros(zero_attn_shape, dtype=v.dtype, device=v.device)], dim=1 + ) + if attn_mask is not None: + attn_mask = pad(attn_mask, (0, 1)) + if key_padding_mask is not None: + key_padding_mask = pad(key_padding_mask, (0, 1)) + + # update source sequence length after adjustments + src_len = k.size(1) + + # merge key padding and attention masks + if key_padding_mask is not None: + assert key_padding_mask.shape == ( + bsz, + src_len, + ), f"expecting key_padding_mask shape of {(bsz, src_len)}, but got {key_padding_mask.shape}" + key_padding_mask = ( + key_padding_mask.view(bsz, 1, 1, src_len) + .expand(-1, num_heads, -1, -1) + .reshape(bsz * num_heads, 1, src_len) + ) + if attn_mask is None: + attn_mask = key_padding_mask + else: + attn_mask = attn_mask + key_padding_mask + + # adjust dropout probability + if not training: + dropout_p = 0.0 + + # + # (deep breath) calculate attention and out projection + # + + if need_weights: + B, Nt, E = q.shape + q_scaled = q / math.sqrt(E) + + assert not ( + is_causal and attn_mask is None + ), "FIXME: is_causal not implemented for need_weights" + + if attn_mask is not None: + attn_output_weights = torch.baddbmm( + attn_mask, q_scaled, k.transpose(-2, -1) + ) + else: + attn_output_weights = torch.bmm(q_scaled, k.transpose(-2, -1)) + attn_output_weights = softmax(attn_output_weights, dim=-1) + if dropout_p > 0.0: + attn_output_weights = dropout(attn_output_weights, p=dropout_p) + + attn_output = torch.bmm(attn_output_weights, v) + + attn_output = ( + attn_output.transpose(0, 1).contiguous().view(tgt_len * bsz, embed_dim) + ) + attn_output = linear(attn_output, out_proj_weight, out_proj_bias) + attn_output = attn_output.view(tgt_len, bsz, attn_output.size(1)) + + # optionally average attention weights over heads + attn_output_weights = attn_output_weights.view(bsz, num_heads, tgt_len, src_len) + if average_attn_weights: + attn_output_weights = attn_output_weights.mean(dim=1) + + if not is_batched: + # squeeze the output if input was unbatched + attn_output = attn_output.squeeze(1) + attn_output_weights = attn_output_weights.squeeze(0) + return attn_output, attn_output_weights + else: + # attn_mask can be either (L,S) or (N*num_heads, L, S) + # if attn_mask's shape is (1, L, S) we need to unsqueeze to (1, 1, L, S) + # in order to match the input for SDPA of (N, num_heads, L, S) + if attn_mask is not None: + if attn_mask.size(0) == 1 and attn_mask.dim() == 3: + attn_mask = attn_mask.unsqueeze(0) + else: + attn_mask = attn_mask.view(bsz, num_heads, -1, src_len) + + q = q.view(bsz, num_heads, tgt_len, head_dim) + k = k.view(bsz, num_heads, src_len, head_dim) + v = v.view(bsz, num_heads, src_len, head_dim) + + attn_output = scaled_dot_product_attention( + q, k, v, attn_mask, dropout_p, is_causal + ) + attn_output = ( + attn_output.permute(2, 0, 1, 3).contiguous().view(bsz * tgt_len, embed_dim) + ) + + attn_output = linear(attn_output, out_proj_weight, out_proj_bias) + attn_output = attn_output.view(tgt_len, bsz, attn_output.size(1)) + if not is_batched: + # squeeze the output if input was unbatched + attn_output = attn_output.squeeze(1) + return attn_output, None diff --git a/GPT_SoVITS/AR/modules/patched_mha_with_cache_onnx.py b/GPT_SoVITS/AR/modules/patched_mha_with_cache_onnx.py new file mode 100644 index 0000000000000000000000000000000000000000..14bdb550a09a2f1dac610ea653848689e6443b4d --- /dev/null +++ b/GPT_SoVITS/AR/modules/patched_mha_with_cache_onnx.py @@ -0,0 +1,92 @@ +from torch.nn.functional import * +from torch.nn.functional import ( + _mha_shape_check, + _canonical_mask, + _none_or_dtype, + _in_projection_packed, +) + +def multi_head_attention_forward_patched( + query, + key, + value, + embed_dim_to_check: int, + num_heads: int, + in_proj_weight, + in_proj_bias: Optional[Tensor], + bias_k: Optional[Tensor], + bias_v: Optional[Tensor], + add_zero_attn: bool, + dropout_p: float, + out_proj_weight: Tensor, + out_proj_bias: Optional[Tensor], + training: bool = True, + key_padding_mask: Optional[Tensor] = None, + need_weights: bool = True, + attn_mask: Optional[Tensor] = None, + use_separate_proj_weight: bool = False, + q_proj_weight: Optional[Tensor] = None, + k_proj_weight: Optional[Tensor] = None, + v_proj_weight: Optional[Tensor] = None, + static_k: Optional[Tensor] = None, + static_v: Optional[Tensor] = None, + average_attn_weights: bool = True, + is_causal: bool = False, + cache=None, +) -> Tuple[Tensor, Optional[Tensor]]: + + # set up shape vars + _, _, embed_dim = query.shape + attn_mask = _canonical_mask( + mask=attn_mask, + mask_name="attn_mask", + other_type=None, + other_name="", + target_type=query.dtype, + check_other=False, + ) + head_dim = embed_dim // num_heads + + proj_qkv = linear(query, in_proj_weight, in_proj_bias) + proj_qkv = proj_qkv.unflatten(-1, (3, query.size(-1))).unsqueeze(0).transpose(0, -2).squeeze(-2).contiguous() + q, k, v = proj_qkv[0], proj_qkv[1], proj_qkv[2] + + if cache["first_infer"] == 1: + cache["k"][cache["stage"]] = k + cache["v"][cache["stage"]] = v + else: + cache["k"][cache["stage"]] = torch.cat([cache["k"][cache["stage"]][:-1], k], 0) + cache["v"][cache["stage"]] = torch.cat([cache["v"][cache["stage"]][:-1], v], 0) + k = cache["k"][cache["stage"]] + v = cache["v"][cache["stage"]] + cache["stage"] = (cache["stage"] + 1) % cache["all_stage"] + + attn_mask = _canonical_mask( + mask=attn_mask, + mask_name="attn_mask", + other_type=None, + other_name="", + target_type=q.dtype, + check_other=False, + ) + attn_mask = attn_mask.unsqueeze(0) + + q = q.view(-1, num_heads, head_dim).transpose(0, 1) + k = k.view(-1, num_heads, head_dim).transpose(0, 1) + v = v.view(-1, num_heads, head_dim).transpose(0, 1) + + dropout_p = 0.0 + attn_mask = attn_mask.unsqueeze(0) + q = q.view(num_heads, -1, head_dim).unsqueeze(0) + k = k.view(num_heads, -1, head_dim).unsqueeze(0) + v = v.view(num_heads, -1, head_dim).unsqueeze(0) + attn_output = scaled_dot_product_attention( + q, k, v, attn_mask, dropout_p, is_causal + ) + attn_output = ( + attn_output.permute(2, 0, 1, 3).contiguous().view(-1, embed_dim) + ) + attn_output = linear(attn_output, out_proj_weight, out_proj_bias) + attn_output = attn_output.view(-1, 1, attn_output.size(1)) + + return attn_output diff --git a/GPT_SoVITS/AR/modules/scaling.py b/GPT_SoVITS/AR/modules/scaling.py new file mode 100644 index 0000000000000000000000000000000000000000..9256a8cbf342b6a259c48fb8821fed0492c649fd --- /dev/null +++ b/GPT_SoVITS/AR/modules/scaling.py @@ -0,0 +1,335 @@ +# Copyright 2022 Xiaomi Corp. (authors: Daniel Povey) +# +# See ../../../../LICENSE for clarification regarding multiple authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import logging +import math +import random +from typing import Optional +from typing import Tuple +from typing import Union + +import torch +import torch.nn as nn +from torch import Tensor + + +class DoubleSwishFunction(torch.autograd.Function): + """ + double_swish(x) = x * torch.sigmoid(x-1) + This is a definition, originally motivated by its close numerical + similarity to swish(swish(x)), where swish(x) = x * sigmoid(x). + + Memory-efficient derivative computation: + double_swish(x) = x * s, where s(x) = torch.sigmoid(x-1) + double_swish'(x) = d/dx double_swish(x) = x * s'(x) + x' * s(x) = x * s'(x) + s(x). + Now, s'(x) = s(x) * (1-s(x)). + double_swish'(x) = x * s'(x) + s(x). + = x * s(x) * (1-s(x)) + s(x). + = double_swish(x) * (1-s(x)) + s(x) + ... so we just need to remember s(x) but not x itself. + """ + + @staticmethod + def forward(ctx, x: Tensor) -> Tensor: + requires_grad = x.requires_grad + x_dtype = x.dtype + if x.dtype == torch.float16: + x = x.to(torch.float32) + + s = torch.sigmoid(x - 1.0) + y = x * s + + if requires_grad: + deriv = y * (1 - s) + s + # notes on derivative of x * sigmoid(x - 1): + # https://www.wolframalpha.com/input?i=d%2Fdx+%28x+*+sigmoid%28x-1%29%29 + # min \simeq -0.043638. Take floor as -0.043637 so it's a lower bund + # max \simeq 1.1990. Take ceil to be 1.2 so it's an upper bound. + # the combination of "+ torch.rand_like(deriv)" and casting to torch.uint8 (which + # floors), should be expectation-preserving. + floor = -0.043637 + ceil = 1.2 + d_scaled = (deriv - floor) * (255.0 / (ceil - floor)) + torch.rand_like( + deriv + ) + if __name__ == "__main__": + # for self-testing only. + assert d_scaled.min() >= 0.0 + assert d_scaled.max() < 256.0 + d_int = d_scaled.to(torch.uint8) + ctx.save_for_backward(d_int) + if x.dtype == torch.float16 or torch.is_autocast_enabled(): + y = y.to(torch.float16) + return y + + @staticmethod + def backward(ctx, y_grad: Tensor) -> Tensor: + (d,) = ctx.saved_tensors + # the same constants as used in forward pass. + floor = -0.043637 + ceil = 1.2 + d = d * ((ceil - floor) / 255.0) + floor + return y_grad * d + + +class DoubleSwish(torch.nn.Module): + def forward(self, x: Tensor) -> Tensor: + """Return double-swish activation function which is an approximation to Swish(Swish(x)), + that we approximate closely with x * sigmoid(x-1). + """ + if torch.jit.is_scripting() or torch.jit.is_tracing(): + return x * torch.sigmoid(x - 1.0) + return DoubleSwishFunction.apply(x) + + +class ActivationBalancerFunction(torch.autograd.Function): + @staticmethod + def forward( + ctx, + x: Tensor, + scale_factor: Tensor, + sign_factor: Optional[Tensor], + channel_dim: int, + ) -> Tensor: + if channel_dim < 0: + channel_dim += x.ndim + ctx.channel_dim = channel_dim + xgt0 = x > 0 + if sign_factor is None: + ctx.save_for_backward(xgt0, scale_factor) + else: + ctx.save_for_backward(xgt0, scale_factor, sign_factor) + return x + + @staticmethod + def backward(ctx, x_grad: Tensor) -> Tuple[Tensor, None, None, None]: + if len(ctx.saved_tensors) == 3: + xgt0, scale_factor, sign_factor = ctx.saved_tensors + for _ in range(ctx.channel_dim, x_grad.ndim - 1): + scale_factor = scale_factor.unsqueeze(-1) + sign_factor = sign_factor.unsqueeze(-1) + factor = sign_factor + scale_factor * (xgt0.to(x_grad.dtype) - 0.5) + else: + xgt0, scale_factor = ctx.saved_tensors + for _ in range(ctx.channel_dim, x_grad.ndim - 1): + scale_factor = scale_factor.unsqueeze(-1) + factor = scale_factor * (xgt0.to(x_grad.dtype) - 0.5) + neg_delta_grad = x_grad.abs() * factor + return ( + x_grad - neg_delta_grad, + None, + None, + None, + ) + + +def _compute_scale_factor( + x: Tensor, + channel_dim: int, + min_abs: float, + max_abs: float, + gain_factor: float, + max_factor: float, +) -> Tensor: + if channel_dim < 0: + channel_dim += x.ndim + sum_dims = [d for d in range(x.ndim) if d != channel_dim] + x_abs_mean = torch.mean(x.abs(), dim=sum_dims).to(torch.float32) + + if min_abs == 0.0: + below_threshold = 0.0 + else: + # below_threshold is 0 if x_abs_mean > min_abs, can be at most max_factor if + # x_abs)_mean , min_abs. + below_threshold = ((min_abs - x_abs_mean) * (gain_factor / min_abs)).clamp( + min=0, max=max_factor + ) + + above_threshold = ((x_abs_mean - max_abs) * (gain_factor / max_abs)).clamp( + min=0, max=max_factor + ) + + return below_threshold - above_threshold + + +def _compute_sign_factor( + x: Tensor, + channel_dim: int, + min_positive: float, + max_positive: float, + gain_factor: float, + max_factor: float, +) -> Tensor: + if channel_dim < 0: + channel_dim += x.ndim + sum_dims = [d for d in range(x.ndim) if d != channel_dim] + proportion_positive = torch.mean((x > 0).to(torch.float32), dim=sum_dims) + if min_positive == 0.0: + factor1 = 0.0 + else: + # 0 if proportion_positive >= min_positive, else can be + # as large as max_factor. + factor1 = ( + (min_positive - proportion_positive) * (gain_factor / min_positive) + ).clamp_(min=0, max=max_factor) + + if max_positive == 1.0: + factor2 = 0.0 + else: + # 0 if self.proportion_positive <= max_positive, else can be + # as large as -max_factor. + factor2 = ( + (proportion_positive - max_positive) * (gain_factor / (1.0 - max_positive)) + ).clamp_(min=0, max=max_factor) + sign_factor = factor1 - factor2 + # require min_positive != 0 or max_positive != 1: + assert not isinstance(sign_factor, float) + return sign_factor + + +class ActivationBalancer(torch.nn.Module): + """ + Modifies the backpropped derivatives of a function to try to encourage, for + each channel, that it is positive at least a proportion `threshold` of the + time. It does this by multiplying negative derivative values by up to + (1+max_factor), and positive derivative values by up to (1-max_factor), + interpolated from 1 at the threshold to those extremal values when none + of the inputs are positive. + + Args: + num_channels: the number of channels + channel_dim: the dimension/axis corresponding to the channel, e.g. + -1, 0, 1, 2; will be interpreted as an offset from x.ndim if negative. + min_positive: the minimum, per channel, of the proportion of the time + that (x > 0), below which we start to modify the derivatives. + max_positive: the maximum, per channel, of the proportion of the time + that (x > 0), above which we start to modify the derivatives. + max_factor: the maximum factor by which we modify the derivatives for + either the sign constraint or the magnitude constraint; + e.g. with max_factor=0.02, the the derivatives would be multiplied by + values in the range [0.98..1.02]. + sign_gain_factor: determines the 'gain' with which we increase the + change in gradient once the constraints on min_positive and max_positive + are violated. + scale_gain_factor: determines the 'gain' with which we increase the + change in gradient once the constraints on min_abs and max_abs + are violated. + min_abs: the minimum average-absolute-value difference from the mean + value per channel, which we allow, before we start to modify + the derivatives to prevent this. + max_abs: the maximum average-absolute-value difference from the mean + value per channel, which we allow, before we start to modify + the derivatives to prevent this. + min_prob: determines the minimum probability with which we modify the + gradients for the {min,max}_positive and {min,max}_abs constraints, + on each forward(). This is done randomly to prevent all layers + from doing it at the same time. Early in training we may use + higher probabilities than this; it will decay to this value. + """ + + def __init__( + self, + num_channels: int, + channel_dim: int, + min_positive: float = 0.05, + max_positive: float = 0.95, + max_factor: float = 0.04, + sign_gain_factor: float = 0.01, + scale_gain_factor: float = 0.02, + min_abs: float = 0.2, + max_abs: float = 100.0, + min_prob: float = 0.1, + ): + super(ActivationBalancer, self).__init__() + self.num_channels = num_channels + self.channel_dim = channel_dim + self.min_positive = min_positive + self.max_positive = max_positive + self.max_factor = max_factor + self.min_abs = min_abs + self.max_abs = max_abs + self.min_prob = min_prob + self.sign_gain_factor = sign_gain_factor + self.scale_gain_factor = scale_gain_factor + + # count measures how many times the forward() function has been called. + # We occasionally sync this to a tensor called `count`, that exists to + # make sure it is synced to disk when we load and save the model. + self.cpu_count = 0 + self.register_buffer("count", torch.tensor(0, dtype=torch.int64)) + + def forward(self, x: Tensor) -> Tensor: + if torch.jit.is_scripting() or not x.requires_grad or torch.jit.is_tracing(): + return _no_op(x) + + count = self.cpu_count + self.cpu_count += 1 + + if random.random() < 0.01: + # Occasionally sync self.cpu_count with self.count. + # count affects the decay of 'prob'. don't do this on every iter, + # because syncing with the GPU is slow. + self.cpu_count = max(self.cpu_count, self.count.item()) + self.count.fill_(self.cpu_count) + + # the prob of doing some work exponentially decreases from 0.5 till it hits + # a floor at min_prob (==0.1, by default) + prob = max(self.min_prob, 0.5 ** (1 + (count / 4000.0))) + + if random.random() < prob: + sign_gain_factor = 0.5 + if self.min_positive != 0.0 or self.max_positive != 1.0: + sign_factor = _compute_sign_factor( + x, + self.channel_dim, + self.min_positive, + self.max_positive, + gain_factor=self.sign_gain_factor / prob, + max_factor=self.max_factor, + ) + else: + sign_factor = None + + scale_factor = _compute_scale_factor( + x.detach(), + self.channel_dim, + min_abs=self.min_abs, + max_abs=self.max_abs, + gain_factor=self.scale_gain_factor / prob, + max_factor=self.max_factor, + ) + return ActivationBalancerFunction.apply( + x, + scale_factor, + sign_factor, + self.channel_dim, + ) + else: + return _no_op(x) + + +def BalancedDoubleSwish( + d_model, channel_dim=-1, max_abs=10.0, min_prob=0.25 +) -> nn.Sequential: + """ + ActivationBalancer -> DoubleSwish + """ + balancer = ActivationBalancer( + d_model, channel_dim=channel_dim, max_abs=max_abs, min_prob=min_prob + ) + return nn.Sequential( + balancer, + DoubleSwish(), + ) diff --git a/GPT_SoVITS/AR/modules/transformer.py b/GPT_SoVITS/AR/modules/transformer.py new file mode 100644 index 0000000000000000000000000000000000000000..7921f48e70bd6849897389d8e0a39d1ac4062b97 --- /dev/null +++ b/GPT_SoVITS/AR/modules/transformer.py @@ -0,0 +1,378 @@ +# modified from https://github.com/lifeiteng/vall-e/blob/main/valle/modules/transformer.py +import copy +import numbers +from functools import partial +from typing import Any +from typing import Callable +from typing import List +from typing import Optional +from typing import Tuple +from typing import Union + +import torch +from AR.modules.activation import MultiheadAttention +from AR.modules.scaling import BalancedDoubleSwish +from torch import nn +from torch import Tensor +from torch.nn import functional as F + +_shape_t = Union[int, List[int], torch.Size] + + +class LayerNorm(nn.Module): + __constants__ = ["normalized_shape", "eps", "elementwise_affine"] + normalized_shape: Tuple[int, ...] + eps: float + elementwise_affine: bool + + def __init__( + self, + normalized_shape: _shape_t, + eps: float = 1e-5, + elementwise_affine: bool = True, + device=None, + dtype=None, + ) -> None: + factory_kwargs = {"device": device, "dtype": dtype} + super(LayerNorm, self).__init__() + if isinstance(normalized_shape, numbers.Integral): + # mypy error: incompatible types in assignment + normalized_shape = (normalized_shape,) # type: ignore[assignment] + self.normalized_shape = tuple(normalized_shape) # type: ignore[arg-type] + self.eps = eps + self.elementwise_affine = elementwise_affine + if self.elementwise_affine: + self.weight = nn.Parameter( + torch.empty(self.normalized_shape, **factory_kwargs) + ) + self.bias = nn.Parameter( + torch.empty(self.normalized_shape, **factory_kwargs) + ) + else: + self.register_parameter("weight", None) + self.register_parameter("bias", None) + + self.reset_parameters() + + def reset_parameters(self) -> None: + if self.elementwise_affine: + nn.init.ones_(self.weight) + nn.init.zeros_(self.bias) + + def forward(self, input: Tensor, embedding: Any = None) -> Tensor: + if isinstance(input, tuple): + input, embedding = input + return ( + F.layer_norm( + input, + self.normalized_shape, + self.weight, + self.bias, + self.eps, + ), + embedding, + ) + + assert embedding is None + return F.layer_norm( + input, self.normalized_shape, self.weight, self.bias, self.eps + ) + + def extra_repr(self) -> str: + return ( + "{normalized_shape}, eps={eps}, " + "elementwise_affine={elementwise_affine}".format(**self.__dict__) + ) + + +class IdentityNorm(nn.Module): + def __init__( + self, + d_model: int, + eps: float = 1e-5, + device=None, + dtype=None, + ) -> None: + super(IdentityNorm, self).__init__() + + def forward(self, input: Tensor, embedding: Any = None) -> Tensor: + if isinstance(input, tuple): + return input + + assert embedding is None + return input + + +class TransformerEncoder(nn.Module): + r"""TransformerEncoder is a stack of N encoder layers. Users can build the + BERT(https://arxiv.org/abs/1810.04805) model with corresponding parameters. + + Args: + encoder_layer: an instance of the TransformerEncoderLayer() class (required). + num_layers: the number of sub-encoder-layers in the encoder (required). + norm: the layer normalization component (optional). + enable_nested_tensor: if True, input will automatically convert to nested tensor + (and convert back on output). This will improve the overall performance of + TransformerEncoder when padding rate is high. Default: ``True`` (enabled). + + Examples:: + >>> encoder_layer = TransformerEncoderLayer(d_model=512, nhead=8) + >>> transformer_encoder = TransformerEncoder(encoder_layer, num_layers=6) + >>> src = torch.rand(10, 32, 512) + >>> out = transformer_encoder(src) + """ + __constants__ = ["norm"] + + def __init__(self, encoder_layer, num_layers, norm=None): + super(TransformerEncoder, self).__init__() + self.layers = _get_clones(encoder_layer, num_layers) + self.num_layers = num_layers + self.norm = norm + + def forward( + self, + src: Tensor, + mask: Optional[Tensor] = None, + src_key_padding_mask: Optional[Tensor] = None, + return_layer_states: bool = False, + cache=None, + ) -> Tensor: + r"""Pass the input through the encoder layers in turn. + + Args: + src: the sequence to the encoder (required). + mask: the mask for the src sequence (optional). + src_key_padding_mask: the mask for the src keys per batch (optional). + return_layer_states: return layers' state (optional). + + Shape: + see the docs in Transformer class. + """ + if return_layer_states: + layer_states = [] # layers' output + output = src + for mod in self.layers: + output = mod( + output, + src_mask=mask, + src_key_padding_mask=src_key_padding_mask, + cache=cache, + ) + layer_states.append(output[0]) + + if self.norm is not None: + output = self.norm(output) + + return layer_states, output + + output = src + for mod in self.layers: + output = mod( + output, + src_mask=mask, + src_key_padding_mask=src_key_padding_mask, + cache=cache, + ) + + if self.norm is not None: + output = self.norm(output) + + return output + + +class TransformerEncoderLayer(nn.Module): + __constants__ = ["batch_first", "norm_first"] + + def __init__( + self, + d_model: int, + nhead: int, + dim_feedforward: int = 2048, + dropout: float = 0.1, + activation: Union[str, Callable[[Tensor], Tensor]] = F.relu, + batch_first: bool = False, + norm_first: bool = False, + device=None, + dtype=None, + linear1_self_attention_cls: nn.Module = nn.Linear, + linear2_self_attention_cls: nn.Module = nn.Linear, + linear1_feedforward_cls: nn.Module = nn.Linear, + linear2_feedforward_cls: nn.Module = nn.Linear, + layer_norm_cls: nn.Module = LayerNorm, + layer_norm_eps: float = 1e-5, + adaptive_layer_norm=False, + ) -> None: + factory_kwargs = {"device": device, "dtype": dtype} + super(TransformerEncoderLayer, self).__init__() + # print(233333333333,d_model,nhead) + # import os + # os._exit(2333333) + self.self_attn = MultiheadAttention( + d_model, # 512 16 + nhead, + dropout=dropout, + batch_first=batch_first, + linear1_cls=linear1_self_attention_cls, + linear2_cls=linear2_self_attention_cls, + **factory_kwargs, + ) + + # Implementation of Feedforward model + self.linear1 = linear1_feedforward_cls( + d_model, dim_feedforward, **factory_kwargs + ) + self.dropout = nn.Dropout(dropout) + self.linear2 = linear2_feedforward_cls( + dim_feedforward, d_model, **factory_kwargs + ) + + self.norm_first = norm_first + self.dropout1 = nn.Dropout(dropout) + self.dropout2 = nn.Dropout(dropout) + + # Legacy string support for activation function. + if isinstance(activation, str): + activation = _get_activation_fn(activation) + elif isinstance(activation, partial): + activation = activation(d_model) + elif activation == BalancedDoubleSwish: + activation = BalancedDoubleSwish(d_model) + + # # We can't test self.activation in forward() in TorchScript, + # # so stash some information about it instead. + # if activation is F.relu or isinstance(activation, torch.nn.ReLU): + # self.activation_relu_or_gelu = 1 + # elif activation is F.gelu or isinstance(activation, torch.nn.GELU): + # self.activation_relu_or_gelu = 2 + # else: + # self.activation_relu_or_gelu = 0 + self.activation = activation + + norm1 = layer_norm_cls(d_model, eps=layer_norm_eps, **factory_kwargs) + if layer_norm_cls == IdentityNorm: + norm2 = BalancedBasicNorm(d_model, eps=layer_norm_eps, **factory_kwargs) + else: + norm2 = layer_norm_cls(d_model, eps=layer_norm_eps, **factory_kwargs) + + if adaptive_layer_norm: + self.norm1 = AdaptiveLayerNorm(d_model, norm1) + self.norm2 = AdaptiveLayerNorm(d_model, norm2) + else: + self.norm1 = norm1 + self.norm2 = norm2 + + def __setstate__(self, state): + super(TransformerEncoderLayer, self).__setstate__(state) + if not hasattr(self, "activation"): + self.activation = F.relu + + def forward( + self, + src: Tensor, + src_mask: Optional[Tensor] = None, + src_key_padding_mask: Optional[Tensor] = None, + cache=None, + ) -> Tensor: + r"""Pass the input through the encoder layer. + + Args: + src: the sequence to the encoder layer (required). + src_mask: the mask for the src sequence (optional). + src_key_padding_mask: the mask for the src keys per batch (optional). + + Shape: + see the docs in Transformer class. + """ + x, stage_embedding = src, None + is_src_tuple = False + if isinstance(src, tuple): + x, stage_embedding = src + is_src_tuple = True + + if src_key_padding_mask is not None: + _skpm_dtype = src_key_padding_mask.dtype + if _skpm_dtype != torch.bool and not torch.is_floating_point( + src_key_padding_mask + ): + raise AssertionError( + "only bool and floating types of key_padding_mask are supported" + ) + + if self.norm_first: + x = x + self._sa_block( + self.norm1(x, stage_embedding), + src_mask, + src_key_padding_mask, + cache=cache, + ) + x = x + self._ff_block(self.norm2(x, stage_embedding)) + else: + x = self.norm1( + x + self._sa_block(x, src_mask, src_key_padding_mask, cache=cache), + stage_embedding, + ) + x = self.norm2(x + self._ff_block(x), stage_embedding) + + if is_src_tuple: + return (x, stage_embedding) + return x + + # self-attention block + def _sa_block( + self, + x: Tensor, + attn_mask: Optional[Tensor], + key_padding_mask: Optional[Tensor], + cache=None, + ) -> Tensor: + # print(x.shape,attn_mask.shape,key_padding_mask) + # torch.Size([1, 188, 512]) torch.Size([188, 188]) None + # import os + # os._exit(23333) + x = self.self_attn( + x, + x, + x, + attn_mask=attn_mask, + key_padding_mask=key_padding_mask, + need_weights=False, + cache=cache, + )[0] + return self.dropout1(x) + + # feed forward block + def _ff_block(self, x: Tensor) -> Tensor: + x = self.linear2(self.dropout(self.activation(self.linear1(x)))) + return self.dropout2(x) + + +class AdaptiveLayerNorm(nn.Module): + r"""Adaptive Layer Normalization""" + + def __init__(self, d_model, norm) -> None: + super(AdaptiveLayerNorm, self).__init__() + self.project_layer = nn.Linear(d_model, 2 * d_model) + self.norm = norm + self.d_model = d_model + self.eps = self.norm.eps + + def forward(self, input: Tensor, embedding: Tensor = None) -> Tensor: + if isinstance(input, tuple): + input, embedding = input + weight, bias = torch.split( + self.project_layer(embedding), + split_size_or_sections=self.d_model, + dim=-1, + ) + return (weight * self.norm(input) + bias, embedding) + + weight, bias = torch.split( + self.project_layer(embedding), + split_size_or_sections=self.d_model, + dim=-1, + ) + return weight * self.norm(input) + bias + + +def _get_clones(module, N): + return nn.ModuleList([copy.deepcopy(module) for i in range(N)]) diff --git a/GPT_SoVITS/AR/modules/transformer_onnx.py b/GPT_SoVITS/AR/modules/transformer_onnx.py new file mode 100644 index 0000000000000000000000000000000000000000..a3f68b43e7a4f3c8d989140009477e07a2d44d19 --- /dev/null +++ b/GPT_SoVITS/AR/modules/transformer_onnx.py @@ -0,0 +1,292 @@ +# modified from https://github.com/lifeiteng/vall-e/blob/main/valle/modules/transformer.py +import copy +import numbers +from functools import partial +from typing import Any +from typing import Callable +from typing import List +from typing import Optional +from typing import Tuple +from typing import Union + +import torch +from AR.modules.activation_onnx import MultiheadAttention +from AR.modules.scaling import BalancedDoubleSwish +from torch import nn +from torch import Tensor +from torch.nn import functional as F + +_shape_t = Union[int, List[int], torch.Size] + + +class LayerNorm(nn.Module): + __constants__ = ["normalized_shape", "eps", "elementwise_affine"] + normalized_shape: Tuple[int, ...] + eps: float + elementwise_affine: bool + + def __init__( + self, + normalized_shape: _shape_t, + eps: float = 1e-5, + elementwise_affine: bool = True, + device=None, + dtype=None, + ) -> None: + factory_kwargs = {"device": device, "dtype": dtype} + super(LayerNorm, self).__init__() + if isinstance(normalized_shape, numbers.Integral): + # mypy error: incompatible types in assignment + normalized_shape = (normalized_shape,) # type: ignore[assignment] + self.normalized_shape = tuple(normalized_shape) # type: ignore[arg-type] + self.eps = eps + self.elementwise_affine = elementwise_affine + if self.elementwise_affine: + self.weight = nn.Parameter( + torch.empty(self.normalized_shape, **factory_kwargs) + ) + self.bias = nn.Parameter( + torch.empty(self.normalized_shape, **factory_kwargs) + ) + else: + self.register_parameter("weight", None) + self.register_parameter("bias", None) + + self.reset_parameters() + + def reset_parameters(self) -> None: + if self.elementwise_affine: + nn.init.ones_(self.weight) + nn.init.zeros_(self.bias) + + def forward(self, input: Tensor, embedding: Any = None) -> Tensor: + if isinstance(input, tuple): + input, embedding = input + return ( + F.layer_norm( + input, + self.normalized_shape, + self.weight, + self.bias, + self.eps, + ), + embedding, + ) + + assert embedding is None + return F.layer_norm( + input, self.normalized_shape, self.weight, self.bias, self.eps + ) + + def extra_repr(self) -> str: + return ( + "{normalized_shape}, eps={eps}, " + "elementwise_affine={elementwise_affine}".format(**self.__dict__) + ) + + +class IdentityNorm(nn.Module): + def __init__( + self, + d_model: int, + eps: float = 1e-5, + device=None, + dtype=None, + ) -> None: + super(IdentityNorm, self).__init__() + + def forward(self, input: Tensor, embedding: Any = None) -> Tensor: + if isinstance(input, tuple): + return input + + assert embedding is None + return input + + +class TransformerEncoder(nn.Module): + r"""TransformerEncoder is a stack of N encoder layers. Users can build the + BERT(https://arxiv.org/abs/1810.04805) model with corresponding parameters. + + Args: + encoder_layer: an instance of the TransformerEncoderLayer() class (required). + num_layers: the number of sub-encoder-layers in the encoder (required). + norm: the layer normalization component (optional). + enable_nested_tensor: if True, input will automatically convert to nested tensor + (and convert back on output). This will improve the overall performance of + TransformerEncoder when padding rate is high. Default: ``True`` (enabled). + + Examples:: + >>> encoder_layer = TransformerEncoderLayer(d_model=512, nhead=8) + >>> transformer_encoder = TransformerEncoder(encoder_layer, num_layers=6) + >>> src = torch.rand(10, 32, 512) + >>> out = transformer_encoder(src) + """ + __constants__ = ["norm"] + + def __init__(self, encoder_layer, num_layers, norm=None): + super(TransformerEncoder, self).__init__() + self.layers = _get_clones(encoder_layer, num_layers) + self.num_layers = num_layers + self.norm = norm + + def forward( + self, + src: Tensor, + mask: Optional[Tensor] = None, + src_key_padding_mask: Optional[Tensor] = None, + return_layer_states: bool = False, + cache=None, + ) -> Tensor: + output = src + for mod in self.layers: + output = mod( + output, + src_mask=mask, + src_key_padding_mask=src_key_padding_mask, + cache=cache, + ) + + if self.norm is not None: + output = self.norm(output) + + return output + + +class TransformerEncoderLayer(nn.Module): + __constants__ = ["batch_first", "norm_first"] + def __init__( + self, + d_model: int, + nhead: int, + dim_feedforward: int = 2048, + dropout: float = 0.1, + activation: Union[str, Callable[[Tensor], Tensor]] = F.relu, + batch_first: bool = False, + norm_first: bool = False, + device=None, + dtype=None, + linear1_self_attention_cls: nn.Module = nn.Linear, + linear2_self_attention_cls: nn.Module = nn.Linear, + linear1_feedforward_cls: nn.Module = nn.Linear, + linear2_feedforward_cls: nn.Module = nn.Linear, + layer_norm_cls: nn.Module = LayerNorm, + layer_norm_eps: float = 1e-5, + adaptive_layer_norm=False, + ) -> None: + factory_kwargs = {"device": device, "dtype": dtype} + super(TransformerEncoderLayer, self).__init__() + self.self_attn = MultiheadAttention( + d_model, # 512 16 + nhead, + dropout=dropout, + batch_first=batch_first, + linear1_cls=linear1_self_attention_cls, + linear2_cls=linear2_self_attention_cls, + **factory_kwargs, + ) + self.linear1 = linear1_feedforward_cls( + d_model, dim_feedforward, **factory_kwargs + ) + self.dropout = nn.Dropout(dropout) + self.linear2 = linear2_feedforward_cls( + dim_feedforward, d_model, **factory_kwargs + ) + self.norm_first = norm_first + self.dropout1 = nn.Dropout(dropout) + self.dropout2 = nn.Dropout(dropout) + if isinstance(activation, str): + activation = _get_activation_fn(activation) + elif isinstance(activation, partial): + activation = activation(d_model) + elif activation == BalancedDoubleSwish: + activation = BalancedDoubleSwish(d_model) + self.activation = activation + + norm1 = layer_norm_cls(d_model, eps=layer_norm_eps, **factory_kwargs) + if layer_norm_cls == IdentityNorm: + norm2 = BalancedBasicNorm(d_model, eps=layer_norm_eps, **factory_kwargs) + else: + norm2 = layer_norm_cls(d_model, eps=layer_norm_eps, **factory_kwargs) + + if adaptive_layer_norm: + self.norm1 = AdaptiveLayerNorm(d_model, norm1) + self.norm2 = AdaptiveLayerNorm(d_model, norm2) + else: + self.norm1 = norm1 + self.norm2 = norm2 + + def __setstate__(self, state): + super(TransformerEncoderLayer, self).__setstate__(state) + if not hasattr(self, "activation"): + self.activation = F.relu + + def forward( + self, + src: Tensor, + src_mask: Optional[Tensor] = None, + src_key_padding_mask: Optional[Tensor] = None, + cache=None, + ) -> Tensor: + x = src + stage_embedding = None + x = self.norm1( + x + self._sa_block(x, src_mask, src_key_padding_mask, cache=cache), + stage_embedding, + ) + x = self.norm2(x + self._ff_block(x), stage_embedding) + + return x + + def _sa_block( + self, + x: Tensor, + attn_mask: Optional[Tensor], + key_padding_mask: Optional[Tensor], + cache=None, + ) -> Tensor: + x = self.self_attn( + x, + x, + x, + attn_mask=attn_mask, + key_padding_mask=key_padding_mask, + need_weights=False, + cache=cache, + ) + return self.dropout1(x) + + def _ff_block(self, x: Tensor) -> Tensor: + x = self.linear2(self.dropout(self.activation(self.linear1(x)))) + return self.dropout2(x) + + +class AdaptiveLayerNorm(nn.Module): + r"""Adaptive Layer Normalization""" + + def __init__(self, d_model, norm) -> None: + super(AdaptiveLayerNorm, self).__init__() + self.project_layer = nn.Linear(d_model, 2 * d_model) + self.norm = norm + self.d_model = d_model + self.eps = self.norm.eps + + def forward(self, input: Tensor, embedding: Tensor = None) -> Tensor: + if isinstance(input, tuple): + input, embedding = input + weight, bias = torch.split( + self.project_layer(embedding), + split_size_or_sections=self.d_model, + dim=-1, + ) + return (weight * self.norm(input) + bias, embedding) + + weight, bias = torch.split( + self.project_layer(embedding), + split_size_or_sections=self.d_model, + dim=-1, + ) + return weight * self.norm(input) + bias + + +def _get_clones(module, N): + return nn.ModuleList([copy.deepcopy(module) for i in range(N)]) diff --git a/GPT_SoVITS/AR/text_processing/__init__.py b/GPT_SoVITS/AR/text_processing/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/GPT_SoVITS/AR/text_processing/phonemizer.py b/GPT_SoVITS/AR/text_processing/phonemizer.py new file mode 100644 index 0000000000000000000000000000000000000000..9fcf5c09f24ee81436d7765d1430ecf508a524bd --- /dev/null +++ b/GPT_SoVITS/AR/text_processing/phonemizer.py @@ -0,0 +1,78 @@ +# modified from https://github.com/feng-yufei/shared_debugging_code/blob/main/text_processing/phonemizer.py +import itertools +import re +from typing import Dict +from typing import List + +import regex +from gruut import sentences +from gruut.const import Sentence +from gruut.const import Word +from AR.text_processing.symbols import SYMBOL_TO_ID + + +class GruutPhonemizer: + def __init__(self, language: str): + self._phonemizer = sentences + self.lang = language + self.symbol_to_id = SYMBOL_TO_ID + self._special_cases_dict: Dict[str] = { + r"\.\.\.": "... ", + ";": "; ", + ":": ": ", + ",": ", ", + r"\.": ". ", + "!": "! ", + r"\?": "? ", + "—": "—", + "…": "… ", + "«": "«", + "»": "»", + } + self._punctuation_regexp: str = ( + rf"([{''.join(self._special_cases_dict.keys())}])" + ) + + def _normalize_punctuation(self, text: str) -> str: + text = regex.sub(rf"\pZ+{self._punctuation_regexp}", r"\1", text) + text = regex.sub(rf"{self._punctuation_regexp}(\pL)", r"\1 \2", text) + text = regex.sub(r"\pZ+", r" ", text) + return text.strip() + + def _convert_punctuation(self, word: Word) -> str: + if not word.phonemes: + return "" + if word.phonemes[0] in ["‖", "|"]: + return word.text.strip() + + phonemes = "".join(word.phonemes) + # remove modifier characters ˈˌː with regex + phonemes = re.sub(r"[ˈˌː͡]", "", phonemes) + return phonemes.strip() + + def phonemize(self, text: str, espeak: bool = False) -> str: + text_to_phonemize: str = self._normalize_punctuation(text) + sents: List[Sentence] = [ + sent + for sent in self._phonemizer(text_to_phonemize, lang="en-us", espeak=espeak) + ] + words: List[str] = [ + self._convert_punctuation(word) for word in itertools.chain(*sents) + ] + return " ".join(words) + + def transform(self, phonemes): + # convert phonemes to ids + # dictionary is in symbols.py + return [self.symbol_to_id[p] for p in phonemes if p in self.symbol_to_id.keys()] + + +if __name__ == "__main__": + phonemizer = GruutPhonemizer("en-us") + # text -> IPA + phonemes = phonemizer.phonemize("Hello, wor-ld ?") + print("phonemes:", phonemes) + print("len(phonemes):", len(phonemes)) + phoneme_ids = phonemizer.transform(phonemes) + print("phoneme_ids:", phoneme_ids) + print("len(phoneme_ids):", len(phoneme_ids)) diff --git a/GPT_SoVITS/AR/text_processing/symbols.py b/GPT_SoVITS/AR/text_processing/symbols.py new file mode 100644 index 0000000000000000000000000000000000000000..c57e2d4133964bea9617081ea8f15b034e3833fb --- /dev/null +++ b/GPT_SoVITS/AR/text_processing/symbols.py @@ -0,0 +1,9 @@ +# modified from https://github.com/feng-yufei/shared_debugging_code/blob/main/text_processing/symbols.py +PAD = "_" +PUNCTUATION = ';:,.!?¡¿—…"«»“” ' +LETTERS = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz" +IPA_LETTERS = "ɑɐɒæɓʙβɔɕçɗɖðʤəɘɚɛɜɝɞɟʄɡɠɢʛɦɧħɥʜɨɪʝɭɬɫɮʟɱɯɰŋɳɲɴøɵɸθœɶʘɹɺɾɻʀʁɽʂʃʈʧʉʊʋⱱʌɣɤʍχʎʏʑʐʒʔʡʕʢǀǁǂǃˈˌːˑʼʴʰʱʲʷˠˤ˞↓↑→↗↘'̩'ᵻ" +SYMBOLS = [PAD] + list(PUNCTUATION) + list(LETTERS) + list(IPA_LETTERS) +SPACE_ID = SYMBOLS.index(" ") +SYMBOL_TO_ID = {s: i for i, s in enumerate(SYMBOLS)} +ID_TO_SYMBOL = {i: s for i, s in enumerate(SYMBOLS)} diff --git a/GPT_SoVITS/AR/utils/__init__.py b/GPT_SoVITS/AR/utils/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..c2eaf61adcfee96d6e7ec8fd70a7603e18afb567 --- /dev/null +++ b/GPT_SoVITS/AR/utils/__init__.py @@ -0,0 +1,37 @@ +import re + + +def str2bool(str): + return True if str.lower() == 'true' else False + + +def get_newest_ckpt(string_list): + # 定义一个正则表达式模式，用于匹配字符串中的数字 + pattern = r'epoch=(\d+)-step=(\d+)\.ckpt' + + # 使用正则表达式提取每个字符串中的数字信息，并创建一个包含元组的列表 + extracted_info = [] + for string in string_list: + match = re.match(pattern, string) + if match: + epoch = int(match.group(1)) + step = int(match.group(2)) + extracted_info.append((epoch, step, string)) + # 按照 epoch 后面的数字和 step 后面的数字进行排序 + sorted_info = sorted( + extracted_info, key=lambda x: (x[0], x[1]), reverse=True) + # 获取最新的 ckpt 文件名 + newest_ckpt = sorted_info[0][2] + return newest_ckpt + + +# 文本存在且不为空时 return True +def check_txt_file(file_path): + try: + with open(file_path, 'r') as file: + text = file.readline().strip() + assert text.strip() != '' + return text + except Exception: + return False + return False diff --git a/GPT_SoVITS/AR/utils/initialize.py b/GPT_SoVITS/AR/utils/initialize.py new file mode 100644 index 0000000000000000000000000000000000000000..17ff9f92e51c8941973139d6e34d4a1c7cd8daaa --- /dev/null +++ b/GPT_SoVITS/AR/utils/initialize.py @@ -0,0 +1,38 @@ +#!/usr/bin/env python3 +"""Initialize modules for espnet2 neural networks.""" +import torch +from typeguard import check_argument_types + + +def initialize(model: torch.nn.Module, init: str): + """Initialize weights of a neural network module. + + Parameters are initialized using the given method or distribution. + + Custom initialization routines can be implemented into submodules + as function `espnet_initialization_fn` within the custom module. + + Args: + model: Target. + init: Method of initialization. + """ + assert check_argument_types() + print("init with", init) + + # weight init + for p in model.parameters(): + if p.dim() > 1: + if init == "xavier_uniform": + torch.nn.init.xavier_uniform_(p.data) + elif init == "xavier_normal": + torch.nn.init.xavier_normal_(p.data) + elif init == "kaiming_uniform": + torch.nn.init.kaiming_uniform_(p.data, nonlinearity="relu") + elif init == "kaiming_normal": + torch.nn.init.kaiming_normal_(p.data, nonlinearity="relu") + else: + raise ValueError("Unknown initialization: " + init) + # bias init + for name, p in model.named_parameters(): + if ".bias" in name and p.dim() == 1: + p.data.zero_() diff --git a/GPT_SoVITS/AR/utils/io.py b/GPT_SoVITS/AR/utils/io.py new file mode 100644 index 0000000000000000000000000000000000000000..52f1f3c991506a9ea5d3fdbc71ded61e914694f1 --- /dev/null +++ b/GPT_SoVITS/AR/utils/io.py @@ -0,0 +1,34 @@ +import sys + +import torch +import yaml + + +def load_yaml_config(path): + with open(path) as f: + config = yaml.full_load(f) + return config + + +def save_config_to_yaml(config, path): + assert path.endswith(".yaml") + with open(path, "w") as f: + f.write(yaml.dump(config)) + f.close() + + +def write_args(args, path): + args_dict = dict( + (name, getattr(args, name)) for name in dir(args) if not name.startswith("_") + ) + with open(path, "a") as args_file: + args_file.write("==> torch version: {}\n".format(torch.__version__)) + args_file.write( + "==> cudnn version: {}\n".format(torch.backends.cudnn.version()) + ) + args_file.write("==> Cmd:\n") + args_file.write(str(sys.argv)) + args_file.write("\n==> args:\n") + for k, v in sorted(args_dict.items()): + args_file.write(" %s: %s\n" % (str(k), str(v))) + args_file.close() diff --git a/GPT_SoVITS/configs/s1.yaml b/GPT_SoVITS/configs/s1.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f8ae17d4415cbbacca2d30e1403239ecc554e98b --- /dev/null +++ b/GPT_SoVITS/configs/s1.yaml @@ -0,0 +1,31 @@ +train: + seed: 1234 + epochs: 300 + batch_size: 8 + gradient_accumulation: 4 + save_every_n_epoch: 1 + precision: 16 + gradient_clip: 1.0 +optimizer: + lr: 0.01 + lr_init: 0.00001 + lr_end: 0.0001 + warmup_steps: 2000 + decay_steps: 40000 +data: + max_eval_sample: 8 + max_sec: 54 + num_workers: 1 + pad_val: 1024 # same with EOS in model +model: + vocab_size: 1025 + phoneme_vocab_size: 512 + embedding_dim: 512 + hidden_dim: 512 + head: 16 + linear_units: 2048 + n_layer: 12 + dropout: 0 + EOS: 1024 +inference: + top_k: 5 diff --git a/GPT_SoVITS/configs/s1big.yaml b/GPT_SoVITS/configs/s1big.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a811150de4c418be57b3bb932a7fe12cc7b6f679 --- /dev/null +++ b/GPT_SoVITS/configs/s1big.yaml @@ -0,0 +1,31 @@ +train: + seed: 1234 + epochs: 300 + batch_size: 8 + gradient_accumulation: 4 + save_every_n_epoch: 1 + precision: 16-mixed + gradient_clip: 1.0 +optimizer: + lr: 0.01 + lr_init: 0.00001 + lr_end: 0.0001 + warmup_steps: 2000 + decay_steps: 40000 +data: + max_eval_sample: 8 + max_sec: 54 + num_workers: 1 + pad_val: 1024 # same with EOS in model +model: + vocab_size: 1025 + phoneme_vocab_size: 512 + embedding_dim: 1024 + hidden_dim: 1024 + head: 16 + linear_units: 2048 + n_layer: 16 + dropout: 0 + EOS: 1024 +inference: + top_k: 5 diff --git a/GPT_SoVITS/configs/s1big2.yaml b/GPT_SoVITS/configs/s1big2.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b8b889babbc43ada8c17cee52db68fd484cc0c97 --- /dev/null +++ b/GPT_SoVITS/configs/s1big2.yaml @@ -0,0 +1,31 @@ +train: + seed: 1234 + epochs: 300 + batch_size: 12 + gradient_accumulation: 4 + save_every_n_epoch: 1 + precision: 16-mixed + gradient_clip: 1.0 +optimizer: + lr: 0.01 + lr_init: 0.00001 + lr_end: 0.0001 + warmup_steps: 2000 + decay_steps: 40000 +data: + max_eval_sample: 8 + max_sec: 54 + num_workers: 1 + pad_val: 1024 # same with EOS in model +model: + vocab_size: 1025 + phoneme_vocab_size: 512 + embedding_dim: 1024 + hidden_dim: 1024 + head: 16 + linear_units: 2048 + n_layer: 6 + dropout: 0 + EOS: 1024 +inference: + top_k: 5 diff --git a/GPT_SoVITS/configs/s1longer.yaml b/GPT_SoVITS/configs/s1longer.yaml new file mode 100644 index 0000000000000000000000000000000000000000..3f57abd21a85a36107d247488e988797f0f8d484 --- /dev/null +++ b/GPT_SoVITS/configs/s1longer.yaml @@ -0,0 +1,31 @@ +train: + seed: 1234 + epochs: 20 + batch_size: 8 + save_every_n_epoch: 1 + precision: 16-mixed + gradient_clip: 1.0 +optimizer: + lr: 0.01 + lr_init: 0.00001 + lr_end: 0.0001 + warmup_steps: 2000 + decay_steps: 40000 +data: + max_eval_sample: 8 + max_sec: 54 + num_workers: 4 + pad_val: 1024 # same with EOS in model +model: + vocab_size: 1025 + phoneme_vocab_size: 512 + embedding_dim: 512 + hidden_dim: 512 + head: 16 + linear_units: 2048 + n_layer: 24 + dropout: 0 + EOS: 1024 + random_bert: 0 +inference: + top_k: 5 diff --git a/GPT_SoVITS/configs/s1mq.yaml b/GPT_SoVITS/configs/s1mq.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b554fd34f88faca8bc71eb3eaf6b1bdf301a326b --- /dev/null +++ b/GPT_SoVITS/configs/s1mq.yaml @@ -0,0 +1,77 @@ +train: + seed: 1234 + epochs: 100 + batch_size: 6 + gradient_accumulation: 4 + save_every_n_epoch: 1 + precision: 32 + gradient_clip: 1.0 +optimizer: + lr: 0.01 + lr_init: 0.00001 + lr_end: 0.0001 + warmup_steps: 2000 + decay_steps: 40000 +data: + max_eval_sample: 8 + max_sec: 40 + num_workers: 1 + pad_val: 1024 # same with EOS in model +model: + saving_path: "ckpt/" + resume_checkpoint: null + vocoder_config_path: "quantizer/new_ckpt/config.json" + vocoder_ckpt_path: "quantizer/new_ckpt/g_00600000" + datadir: "/home/liweiche/GigaSpeech/wavs" + metapath: "/home/liweiche/GigaSpeech/train2.json" + val_metapath: "/home/liweiche/GigaSpeech/dev2.json" + sampledir: "logs/" + pretrained_path: null + lr: 0.0001 + batch_size: 200.0 + train_bucket_size: 8192 + training_step: 800000 + optim_flat_percent: 0.0 + warmup_step: 50 + adam_beta1: 0.9 + adam_beta2: 0.98 + ffd_size: 3072 + hidden_size: 768 + enc_nlayers: 6 + dec_nlayers: 6 + nheads: 12 + ar_layer: 4 + ar_ffd_size: 1024 + ar_hidden_size: 256 + ar_nheads: 4 + aligner_softmax_temp: 1.0 + layer_norm_eps: 0.00001 + speaker_embed_dropout: 0.05 + label_smoothing: 0.0 + val_check_interval: 5000 + check_val_every_n_epoch: 1 + precision: "fp16" + nworkers: 16 + distributed: true + accelerator: "ddp" + version: null + accumulate_grad_batches: 1 + use_repetition_token: true + use_repetition_gating: false + repetition_penalty: 1.0 + sampling_temperature: 1.0 + top_k: -1 + min_top_k: 3 + top_p: 0.8 + sample_num: 4 + length_penalty_max_length: 15000 + length_penalty_max_prob: 0.95 + max_input_length: 2048 + max_output_length: 2000 + sample_rate: 16000 + n_codes: 1024 + n_cluster_groups: 1 + phone_context_window: 4 + phoneset_size: 1000 +inference: + top_k: 5 diff --git a/GPT_SoVITS/configs/s2.json b/GPT_SoVITS/configs/s2.json new file mode 100644 index 0000000000000000000000000000000000000000..e44e1eb7d9864a20c76d35201f1ce0b9b15f3e95 --- /dev/null +++ b/GPT_SoVITS/configs/s2.json @@ -0,0 +1,90 @@ +{ + "train": { + "log_interval": 100, + "eval_interval": 500, + "seed": 1234, + "epochs": 100, + "learning_rate": 0.0001, + "betas": [ + 0.8, + 0.99 + ], + "eps": 1e-09, + "batch_size": 32, + "fp16_run": true, + "lr_decay": 0.999875, + "segment_size": 20480, + "init_lr_ratio": 1, + "warmup_epochs": 0, + "c_mel": 45, + "c_kl": 1.0, + "text_low_lr_rate": 0.4 + }, + "data": { + "max_wav_value": 32768.0, + "sampling_rate": 32000, + "filter_length": 2048, + "hop_length": 640, + "win_length": 2048, + "n_mel_channels": 128, + "mel_fmin": 0.0, + "mel_fmax": null, + "add_blank": true, + "n_speakers": 300, + "cleaned_text": true + }, + "model": { + "inter_channels": 192, + "hidden_channels": 192, + "filter_channels": 768, + "n_heads": 2, + "n_layers": 6, + "kernel_size": 3, + "p_dropout": 0.1, + "resblock": "1", + "resblock_kernel_sizes": [ + 3, + 7, + 11 + ], + "resblock_dilation_sizes": [ + [ + 1, + 3, + 5 + ], + [ + 1, + 3, + 5 + ], + [ + 1, + 3, + 5 + ] + ], + "upsample_rates": [ + 10, + 8, + 2, + 2, + 2 + ], + "upsample_initial_channel": 512, + "upsample_kernel_sizes": [ + 16, + 16, + 8, + 2, + 2 + ], + "n_layers_q": 3, + "use_spectral_norm": false, + "gin_channels": 512, + "semantic_frame_rate": "25hz", + "freeze_quantizer": true + }, + "s2_ckpt_dir": "logs/s2/big2k1", + "content_module": "cnhubert" +} \ No newline at end of file diff --git a/GPT_SoVITS/configs/train.yaml b/GPT_SoVITS/configs/train.yaml new file mode 100644 index 0000000000000000000000000000000000000000..be5333571980807b7d8f788165035c02cb0d176c --- /dev/null +++ b/GPT_SoVITS/configs/train.yaml @@ -0,0 +1,32 @@ +gpu: + n_card: 1 + n_process_per_card: 2 +io: + text_path: D:\RVC1006\GPT-SoVITS\GPT_SoVITS + save_every_n_epoch: 1 + precision: 16-mixed + gradient_clip: 1.0 +optimizer: + lr: 0.01 + lr_init: 0.00001 + lr_end: 0.0001 + warmup_steps: 2000 + decay_steps: 40000 +data: + max_eval_sample: 8 + max_sec: 54 + num_workers: 1 + pad_val: 1024 # same with EOS in model +model: + vocab_size: 1025 + phoneme_vocab_size: 512 + embedding_dim: 512 + hidden_dim: 512 + head: 16 + linear_units: 2048 + n_layer: 24 + dropout: 0 + EOS: 1024 + random_bert: 0 +inference: + top_k: 5 diff --git a/GPT_SoVITS/feature_extractor/__init__.py b/GPT_SoVITS/feature_extractor/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..79aa9294fec8fd823afae7d1a18e3279533dd7cf --- /dev/null +++ b/GPT_SoVITS/feature_extractor/__init__.py @@ -0,0 +1,6 @@ +from . import cnhubert, whisper_enc + +content_module_map = { + 'cnhubert': cnhubert, + 'whisper': whisper_enc +} \ No newline at end of file diff --git a/GPT_SoVITS/feature_extractor/cnhubert.py b/GPT_SoVITS/feature_extractor/cnhubert.py new file mode 100644 index 0000000000000000000000000000000000000000..dc155bddb8de0ddc4fec06def2c5a7746f25af4e --- /dev/null +++ b/GPT_SoVITS/feature_extractor/cnhubert.py @@ -0,0 +1,104 @@ +import time + +import librosa +import torch +import torch.nn.functional as F +import soundfile as sf +import logging + +logging.getLogger("numba").setLevel(logging.WARNING) + +from transformers import ( + Wav2Vec2FeatureExtractor, + HubertModel, +) + +import utils +import torch.nn as nn + +cnhubert_base_path = None + + +class CNHubert(nn.Module): + def __init__(self): + super().__init__() + self.model = HubertModel.from_pretrained(cnhubert_base_path) + self.feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained( + cnhubert_base_path + ) + + def forward(self, x): + input_values = self.feature_extractor( + x, return_tensors="pt", sampling_rate=16000 + ).input_values.to(x.device) + feats = self.model(input_values)["last_hidden_state"] + return feats + + +# class CNHubertLarge(nn.Module): +# def __init__(self): +# super().__init__() +# self.model = HubertModel.from_pretrained("/data/docker/liujing04/gpt-vits/chinese-hubert-large") +# self.feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained("/data/docker/liujing04/gpt-vits/chinese-hubert-large") +# def forward(self, x): +# input_values = self.feature_extractor(x, return_tensors="pt", sampling_rate=16000).input_values.to(x.device) +# feats = self.model(input_values)["last_hidden_state"] +# return feats +# +# class CVec(nn.Module): +# def __init__(self): +# super().__init__() +# self.model = HubertModel.from_pretrained("/data/docker/liujing04/vc-webui-big/hubert_base") +# self.feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained("/data/docker/liujing04/vc-webui-big/hubert_base") +# def forward(self, x): +# input_values = self.feature_extractor(x, return_tensors="pt", sampling_rate=16000).input_values.to(x.device) +# feats = self.model(input_values)["last_hidden_state"] +# return feats +# +# class cnw2v2base(nn.Module): +# def __init__(self): +# super().__init__() +# self.model = Wav2Vec2Model.from_pretrained("/data/docker/liujing04/gpt-vits/chinese-wav2vec2-base") +# self.feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained("/data/docker/liujing04/gpt-vits/chinese-wav2vec2-base") +# def forward(self, x): +# input_values = self.feature_extractor(x, return_tensors="pt", sampling_rate=16000).input_values.to(x.device) +# feats = self.model(input_values)["last_hidden_state"] +# return feats + + +def get_model(): + model = CNHubert() + model.eval() + return model + + +# def get_large_model(): +# model = CNHubertLarge() +# model.eval() +# return model +# +# def get_model_cvec(): +# model = CVec() +# model.eval() +# return model +# +# def get_model_cnw2v2base(): +# model = cnw2v2base() +# model.eval() +# return model + + +def get_content(hmodel, wav_16k_tensor): + with torch.no_grad(): + feats = hmodel(wav_16k_tensor) + return feats.transpose(1, 2) + + +if __name__ == "__main__": + model = get_model() + src_path = "/Users/Shared/原音频2.wav" + wav_16k_tensor = utils.load_wav_to_torch_and_resample(src_path, 16000) + model = model + wav_16k_tensor = wav_16k_tensor + feats = get_content(model, wav_16k_tensor) + print(feats.shape) diff --git a/GPT_SoVITS/feature_extractor/whisper_enc.py b/GPT_SoVITS/feature_extractor/whisper_enc.py new file mode 100644 index 0000000000000000000000000000000000000000..983c3e4d8a96232d29f41847abfedb70c42ebb02 --- /dev/null +++ b/GPT_SoVITS/feature_extractor/whisper_enc.py @@ -0,0 +1,25 @@ +import torch + + +def get_model(): + import whisper + + model = whisper.load_model("small", device="cpu") + + return model.encoder + + +def get_content(model=None, wav_16k_tensor=None): + from whisper import log_mel_spectrogram, pad_or_trim + + dev = next(model.parameters()).device + mel = log_mel_spectrogram(wav_16k_tensor).to(dev)[:, :3000] + # if torch.cuda.is_available(): + # mel = mel.to(torch.float16) + feature_len = mel.shape[-1] // 2 + assert mel.shape[-1] < 3000, "输入音频过长，只允许输入30以内音频" + with torch.no_grad(): + feature = model(pad_or_trim(mel, 3000).unsqueeze(0))[ + :1, :feature_len, : + ].transpose(1, 2) + return feature diff --git a/GPT_SoVITS/inference_gui.py b/GPT_SoVITS/inference_gui.py new file mode 100644 index 0000000000000000000000000000000000000000..d5238049ebb3fbcb099c300a4c611432257c5e64 --- /dev/null +++ b/GPT_SoVITS/inference_gui.py @@ -0,0 +1,332 @@ +import sys +from PyQt5.QtCore import QEvent +from PyQt5.QtWidgets import QApplication, QMainWindow, QLabel, QLineEdit, QPushButton, QTextEdit +from PyQt5.QtWidgets import QGridLayout, QVBoxLayout, QWidget, QFileDialog, QStatusBar, QComboBox +import soundfile as sf + +from tools.i18n.i18n import I18nAuto +i18n = I18nAuto() + +from GPT_SoVITS.inference_webui import change_gpt_weights, change_sovits_weights, get_tts_wav + + +class GPTSoVITSGUI(QMainWindow): + def __init__(self): + super().__init__() + + self.init_ui() + + def init_ui(self): + self.setWindowTitle('GPT-SoVITS GUI') + self.setGeometry(800, 450, 950, 850) + + self.setStyleSheet(""" + QWidget { + background-color: #a3d3b1; + } + + QTabWidget::pane { + background-color: #a3d3b1; + } + + QTabWidget::tab-bar { + alignment: left; + } + + QTabBar::tab { + background: #8da4bf; + color: #ffffff; + padding: 8px; + } + + QTabBar::tab:selected { + background: #2a3f54; + } + + QLabel { + color: #000000; + } + + QPushButton { + background-color: #4CAF50; + color: white; + padding: 8px; + border: 1px solid #4CAF50; + border-radius: 4px; + } + + QPushButton:hover { + background-color: #45a049; + border: 1px solid #45a049; + box-shadow: 2px 2px 2px rgba(0, 0, 0, 0.1); + } + """) + + license_text = ( + "本软件以MIT协议开源, 作者不对软件具备任何控制力, 使用软件者、传播软件导出的声音者自负全责. " + "如不认可该条款, 则不能使用或引用软件包内任何代码和文件. 详见根目录LICENSE.") + license_label = QLabel(license_text) + license_label.setWordWrap(True) + + self.GPT_model_label = QLabel("选择GPT模型:") + self.GPT_model_input = QLineEdit() + self.GPT_model_input.setPlaceholderText("拖拽或选择文件") + self.GPT_model_input.setReadOnly(True) + self.GPT_model_button = QPushButton("选择GPT模型文件") + self.GPT_model_button.clicked.connect(self.select_GPT_model) + + self.SoVITS_model_label = QLabel("选择SoVITS模型:") + self.SoVITS_model_input = QLineEdit() + self.SoVITS_model_input.setPlaceholderText("拖拽或选择文件") + self.SoVITS_model_input.setReadOnly(True) + self.SoVITS_model_button = QPushButton("选择SoVITS模型文件") + self.SoVITS_model_button.clicked.connect(self.select_SoVITS_model) + + self.ref_audio_label = QLabel("上传参考音频:") + self.ref_audio_input = QLineEdit() + self.ref_audio_input.setPlaceholderText("拖拽或选择文件") + self.ref_audio_input.setReadOnly(True) + self.ref_audio_button = QPushButton("选择音频文件") + self.ref_audio_button.clicked.connect(self.select_ref_audio) + + self.ref_text_label = QLabel("参考音频文本:") + self.ref_text_input = QLineEdit() + self.ref_text_input.setPlaceholderText("拖拽或选择文件") + self.ref_text_input.setReadOnly(True) + self.ref_text_button = QPushButton("上传文本") + self.ref_text_button.clicked.connect(self.upload_ref_text) + + self.language_label = QLabel("参考音频语言:") + self.language_combobox = QComboBox() + self.language_combobox.addItems(["中文", "英文", "日文"]) + + self.target_text_label = QLabel("合成目标文本:") + self.target_text_input = QLineEdit() + self.target_text_input.setPlaceholderText("拖拽或选择文件") + self.target_text_input.setReadOnly(True) + self.target_text_button = QPushButton("上传文本") + self.target_text_button.clicked.connect(self.upload_target_text) + + self.language_label_02 = QLabel("合成音频语言:") + self.language_combobox_02 = QComboBox() + self.language_combobox_02.addItems(["中文", "英文", "日文"]) + + self.output_label = QLabel("输出音频路径:") + self.output_input = QLineEdit() + self.output_input.setPlaceholderText("拖拽或选择文件") + self.output_input.setReadOnly(True) + self.output_button = QPushButton("选择文件夹") + self.output_button.clicked.connect(self.select_output_path) + + self.output_text = QTextEdit() + self.output_text.setReadOnly(True) + + self.add_drag_drop_events([ + self.GPT_model_input, + self.SoVITS_model_input, + self.ref_audio_input, + self.ref_text_input, + self.target_text_input, + self.output_input, + ]) + + self.synthesize_button = QPushButton("合成") + self.synthesize_button.clicked.connect(self.synthesize) + + self.status_bar = QStatusBar() + + main_layout = QVBoxLayout() + + input_layout = QGridLayout() + input_layout.setSpacing(10) + + self.setLayout(input_layout) + + input_layout.addWidget(license_label, 0, 0, 1, 3) + + input_layout.addWidget(self.GPT_model_label, 1, 0) + input_layout.addWidget(self.GPT_model_input, 2, 0, 1, 2) + input_layout.addWidget(self.GPT_model_button, 2, 2) + + input_layout.addWidget(self.SoVITS_model_label, 3, 0) + input_layout.addWidget(self.SoVITS_model_input, 4, 0, 1, 2) + input_layout.addWidget(self.SoVITS_model_button, 4, 2) + + input_layout.addWidget(self.ref_audio_label, 5, 0) + input_layout.addWidget(self.ref_audio_input, 6, 0, 1, 2) + input_layout.addWidget(self.ref_audio_button, 6, 2) + + input_layout.addWidget(self.language_label, 7, 0) + input_layout.addWidget(self.language_combobox, 8, 0, 1, 1) + input_layout.addWidget(self.ref_text_label, 9, 0) + input_layout.addWidget(self.ref_text_input, 10, 0, 1, 2) + input_layout.addWidget(self.ref_text_button, 10, 2) + + input_layout.addWidget(self.language_label_02, 11, 0) + input_layout.addWidget(self.language_combobox_02, 12, 0, 1, 1) + input_layout.addWidget(self.target_text_label, 13, 0) + input_layout.addWidget(self.target_text_input, 14, 0, 1, 2) + input_layout.addWidget(self.target_text_button, 14, 2) + + input_layout.addWidget(self.output_label, 15, 0) + input_layout.addWidget(self.output_input, 16, 0, 1, 2) + input_layout.addWidget(self.output_button, 16, 2) + + main_layout.addLayout(input_layout) + + output_layout = QVBoxLayout() + output_layout.addWidget(self.output_text) + main_layout.addLayout(output_layout) + + main_layout.addWidget(self.synthesize_button) + + main_layout.addWidget(self.status_bar) + + self.central_widget = QWidget() + self.central_widget.setLayout(main_layout) + self.setCentralWidget(self.central_widget) + + def dragEnterEvent(self, event): + if event.mimeData().hasUrls(): + event.acceptProposedAction() + + def dropEvent(self, event): + if event.mimeData().hasUrls(): + file_paths = [url.toLocalFile() for url in event.mimeData().urls()] + + if len(file_paths) == 1: + self.update_ref_audio(file_paths[0]) + self.update_input_paths(self.ref_audio_input, file_paths[0]) + else: + self.update_ref_audio(", ".join(file_paths)) + + def add_drag_drop_events(self, widgets): + for widget in widgets: + widget.setAcceptDrops(True) + widget.installEventFilter(self) + + def eventFilter(self, obj, event): + if event.type() == QEvent.DragEnter: + mime_data = event.mimeData() + if mime_data.hasUrls(): + event.acceptProposedAction() + + elif event.type() == QEvent.Drop: + mime_data = event.mimeData() + if mime_data.hasUrls(): + file_paths = [url.toLocalFile() for url in mime_data.urls()] + if len(file_paths) == 1: + self.update_input_paths(obj, file_paths[0]) + else: + self.update_input_paths(obj, ", ".join(file_paths)) + event.acceptProposedAction() + + return super().eventFilter(obj, event) + + def select_GPT_model(self): + file_path, _ = QFileDialog.getOpenFileName(self, "选择GPT模型文件", "", "GPT Files (*.ckpt)") + if file_path: + self.GPT_model_input.setText(file_path) + + def select_SoVITS_model(self): + file_path, _ = QFileDialog.getOpenFileName(self, "选择SoVITS模型文件", "", "SoVITS Files (*.pth)") + if file_path: + self.SoVITS_model_input.setText(file_path) + + def select_ref_audio(self): + options = QFileDialog.Options() + options |= QFileDialog.DontUseNativeDialog + options |= QFileDialog.ShowDirsOnly + + file_dialog = QFileDialog() + file_dialog.setOptions(options) + + file_dialog.setFileMode(QFileDialog.AnyFile) + file_dialog.setNameFilter("Audio Files (*.wav *.mp3)") + + if file_dialog.exec_(): + file_paths = file_dialog.selectedFiles() + + if len(file_paths) == 1: + self.update_ref_audio(file_paths[0]) + self.update_input_paths(self.ref_audio_input, file_paths[0]) + else: + self.update_ref_audio(", ".join(file_paths)) + + def upload_ref_text(self): + file_path, _ = QFileDialog.getOpenFileName(self, "选择文本文件", "", "Text Files (*.txt)") + if file_path: + with open(file_path, 'r', encoding='utf-8') as file: + content = file.read() + self.ref_text_input.setText(content) + self.update_input_paths(self.ref_text_input, file_path) + + def upload_target_text(self): + file_path, _ = QFileDialog.getOpenFileName(self, "选择文本文件", "", "Text Files (*.txt)") + if file_path: + with open(file_path, 'r', encoding='utf-8') as file: + content = file.read() + self.target_text_input.setText(content) + self.update_input_paths(self.target_text_input, file_path) + + def select_output_path(self): + options = QFileDialog.Options() + options |= QFileDialog.DontUseNativeDialog + options |= QFileDialog.ShowDirsOnly + + folder_dialog = QFileDialog() + folder_dialog.setOptions(options) + folder_dialog.setFileMode(QFileDialog.Directory) + + if folder_dialog.exec_(): + folder_path = folder_dialog.selectedFiles()[0] + self.output_input.setText(folder_path) + + def update_ref_audio(self, file_path): + self.ref_audio_input.setText(file_path) + + def update_input_paths(self, input_box, file_path): + input_box.setText(file_path) + + def synthesize(self): + GPT_model_path = self.GPT_model_input.text() + SoVITS_model_path = self.SoVITS_model_input.text() + ref_audio_path = self.ref_audio_input.text() + language_combobox = self.language_combobox.currentText() + language_combobox = i18n(language_combobox) + ref_text = self.ref_text_input.text() + language_combobox_02 = self.language_combobox_02.currentText() + language_combobox_02 = i18n(language_combobox_02) + target_text = self.target_text_input.text() + output_path = self.output_input.text() + + change_gpt_weights(gpt_path=GPT_model_path) + change_sovits_weights(sovits_path=SoVITS_model_path) + + synthesis_result = get_tts_wav(ref_wav_path=ref_audio_path, + prompt_text=ref_text, + prompt_language=language_combobox, + text=target_text, + text_language=language_combobox_02) + + result_list = list(synthesis_result) + + if result_list: + last_sampling_rate, last_audio_data = result_list[-1] + output_wav_path = os.path.join(output_path, "output.wav") + sf.write(output_wav_path, last_audio_data, last_sampling_rate) + + result = "Audio saved to " + output_wav_path + + self.status_bar.showMessage("合成完成！输出路径：" + output_wav_path, 5000) + self.output_text.append("处理结果：\n" + result) + +def main(): + app = QApplication(sys.argv) + mainWin = GPTSoVITSGUI() + mainWin.show() + sys.exit(app.exec_()) + + +if __name__ == '__main__': + main() diff --git a/GPT_SoVITS/inference_webui.py b/GPT_SoVITS/inference_webui.py new file mode 100644 index 0000000000000000000000000000000000000000..421d81a00b7ae8cef3a2a3b2d3599b097dbdc7fe --- /dev/null +++ b/GPT_SoVITS/inference_webui.py @@ -0,0 +1,744 @@ +''' +按中英混合识别 +按日英混合识别 +多语种启动切分识别语种 +全部按中文识别 +全部按英文识别 +全部按日文识别 +''' +import os, re, logging +import LangSegment +logging.getLogger("markdown_it").setLevel(logging.ERROR) +logging.getLogger("urllib3").setLevel(logging.ERROR) +logging.getLogger("httpcore").setLevel(logging.ERROR) +logging.getLogger("httpx").setLevel(logging.ERROR) +logging.getLogger("asyncio").setLevel(logging.ERROR) +logging.getLogger("charset_normalizer").setLevel(logging.ERROR) +logging.getLogger("torchaudio._extension").setLevel(logging.ERROR) +import pdb + +if os.path.exists("./gweight.txt"): + with open("./gweight.txt", 'r', encoding="utf-8") as file: + gweight_data = file.read() + gpt_path = os.environ.get( + "gpt_path", gweight_data) +else: + gpt_path = os.environ.get( + "gpt_path", "GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt") + +if os.path.exists("./sweight.txt"): + with open("./sweight.txt", 'r', encoding="utf-8") as file: + sweight_data = file.read() + sovits_path = os.environ.get("sovits_path", sweight_data) +else: + sovits_path = os.environ.get("sovits_path", "GPT_SoVITS/pretrained_models/s2G488k.pth") +# gpt_path = os.environ.get( +# "gpt_path", "pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt" +# ) +# sovits_path = os.environ.get("sovits_path", "pretrained_models/s2G488k.pth") +cnhubert_base_path = os.environ.get( + "cnhubert_base_path", "GPT_SoVITS/pretrained_models/chinese-hubert-base" +) +bert_path = os.environ.get( + "bert_path", "GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large" +) +infer_ttswebui = os.environ.get("infer_ttswebui", 9872) +infer_ttswebui = int(infer_ttswebui) +is_share = os.environ.get("is_share", "False") +is_share = eval(is_share) +if "_CUDA_VISIBLE_DEVICES" in os.environ: + os.environ["CUDA_VISIBLE_DEVICES"] = os.environ["_CUDA_VISIBLE_DEVICES"] +is_half = eval(os.environ.get("is_half", "True")) +import gradio as gr +from transformers import AutoModelForMaskedLM, AutoTokenizer +import numpy as np +import librosa, torch +from feature_extractor import cnhubert + +cnhubert.cnhubert_base_path = cnhubert_base_path + +from module.models import SynthesizerTrn +from AR.models.t2s_lightning_module import Text2SemanticLightningModule +from text import cleaned_text_to_sequence +from text.cleaner import clean_text +from time import time as ttime +from module.mel_processing import spectrogram_torch +from my_utils import load_audio +from tools.i18n.i18n import I18nAuto + +i18n = I18nAuto() + +os.environ['PYTORCH_ENABLE_MPS_FALLBACK'] = '1' # 确保直接启动推理UI时也能够设置。 + +if torch.cuda.is_available(): + device = "cuda" +elif torch.backends.mps.is_available(): + device = "mps" +else: + device = "cpu" + +tokenizer = AutoTokenizer.from_pretrained(bert_path) +bert_model = AutoModelForMaskedLM.from_pretrained(bert_path) +if is_half == True: + bert_model = bert_model.half().to(device) +else: + bert_model = bert_model.to(device) + + +def get_bert_feature(text, word2ph): + with torch.no_grad(): + inputs = tokenizer(text, return_tensors="pt") + for i in inputs: + inputs[i] = inputs[i].to(device) + res = bert_model(**inputs, output_hidden_states=True) + res = torch.cat(res["hidden_states"][-3:-2], -1)[0].cpu()[1:-1] + assert len(word2ph) == len(text) + phone_level_feature = [] + for i in range(len(word2ph)): + repeat_feature = res[i].repeat(word2ph[i], 1) + phone_level_feature.append(repeat_feature) + phone_level_feature = torch.cat(phone_level_feature, dim=0) + return phone_level_feature.T + + +class DictToAttrRecursive(dict): + def __init__(self, input_dict): + super().__init__(input_dict) + for key, value in input_dict.items(): + if isinstance(value, dict): + value = DictToAttrRecursive(value) + self[key] = value + setattr(self, key, value) + + def __getattr__(self, item): + try: + return self[item] + except KeyError: + raise AttributeError(f"Attribute {item} not found") + + def __setattr__(self, key, value): + if isinstance(value, dict): + value = DictToAttrRecursive(value) + super(DictToAttrRecursive, self).__setitem__(key, value) + super().__setattr__(key, value) + + def __delattr__(self, item): + try: + del self[item] + except KeyError: + raise AttributeError(f"Attribute {item} not found") + + +ssl_model = cnhubert.get_model() +if is_half == True: + ssl_model = ssl_model.half().to(device) +else: + ssl_model = ssl_model.to(device) + +# 初始化引导音频列表 +def init_wav_list(sovits_path): + wav_path = "./output/slicer_opt" + match = re.search(r'([a-zA-Z]+)_e\d+_s\d+\.pth',sovits_path) + if match: + result = match.group(1) + wav_path = f"./logs/{result}/5-wav32k/" + + res = ["请选择参考音频"] + + # 遍历目录 + for file_path in os.listdir(wav_path): + # 检查当前file_path是否为文件 + if os.path.isfile(os.path.join(wav_path, file_path)): + # 将文件名添加到列表中 + res.append(file_path) + # print(res) + return res + +reference_wavs = init_wav_list(sovits_path) + + +# 切换参考音频 +def change_wav(audio_name): + wav_path = f"./output/slicer_opt/{audio_name}" + match = re.search(r'([a-zA-Z]+)_e\d+_s\d+\.pth',sovits_path) + if match: + result = match.group(1) + wav_path = f"./logs/{result}/5-wav32k/{audio_name}" + + return wav_path + +def change_sovits_weights(sovits_path): + global vq_model, hps + dict_s2 = torch.load(sovits_path, map_location="cpu") + hps = dict_s2["config"] + hps = DictToAttrRecursive(hps) + hps.model.semantic_frame_rate = "25hz" + vq_model = SynthesizerTrn( + hps.data.filter_length // 2 + 1, + hps.train.segment_size // hps.data.hop_length, + n_speakers=hps.data.n_speakers, + **hps.model + ) + if ("pretrained" not in sovits_path): + del vq_model.enc_q + if is_half == True: + vq_model = vq_model.half().to(device) + else: + vq_model = vq_model.to(device) + vq_model.eval() + print(vq_model.load_state_dict(dict_s2["weight"], strict=False)) + with open("./sweight.txt", "w", encoding="utf-8") as f: + f.write(sovits_path) + return init_wav_list(sovits_path) + + +change_sovits_weights(sovits_path) + + +def change_gpt_weights(gpt_path): + global hz, max_sec, t2s_model, config + hz = 50 + dict_s1 = torch.load(gpt_path, map_location="cpu") + config = dict_s1["config"] + max_sec = config["data"]["max_sec"] + t2s_model = Text2SemanticLightningModule(config, "****", is_train=False) + t2s_model.load_state_dict(dict_s1["weight"]) + if is_half == True: + t2s_model = t2s_model.half() + t2s_model = t2s_model.to(device) + t2s_model.eval() + total = sum([param.nelement() for param in t2s_model.parameters()]) + print("Number of parameter: %.2fM" % (total / 1e6)) + with open("./gweight.txt", "w", encoding="utf-8") as f: f.write(gpt_path) + + +change_gpt_weights(gpt_path) + + +def get_spepc(hps, filename): + audio = load_audio(filename, int(hps.data.sampling_rate)) + audio = torch.FloatTensor(audio) + audio_norm = audio + audio_norm = audio_norm.unsqueeze(0) + spec = spectrogram_torch( + audio_norm, + hps.data.filter_length, + hps.data.sampling_rate, + hps.data.hop_length, + hps.data.win_length, + center=False, + ) + return spec + + +dict_language = { + i18n("中文"): "all_zh",#全部按中文识别 + i18n("英文"): "en",#全部按英文识别#######不变 + i18n("日文"): "all_ja",#全部按日文识别 + i18n("中英混合"): "zh",#按中英混合识别####不变 + i18n("日英混合"): "ja",#按日英混合识别####不变 + i18n("多语种混合"): "auto",#多语种启动切分识别语种 +} + + +def splite_en_inf(sentence, language): + pattern = re.compile(r'[a-zA-Z ]+') + textlist = [] + langlist = [] + pos = 0 + for match in pattern.finditer(sentence): + start, end = match.span() + if start > pos: + textlist.append(sentence[pos:start]) + langlist.append(language) + textlist.append(sentence[start:end]) + langlist.append("en") + pos = end + if pos < len(sentence): + textlist.append(sentence[pos:]) + langlist.append(language) + # Merge punctuation into previous word + for i in range(len(textlist)-1, 0, -1): + if re.match(r'^[\W_]+$', textlist[i]): + textlist[i-1] += textlist[i] + del textlist[i] + del langlist[i] + # Merge consecutive words with the same language tag + i = 0 + while i < len(langlist) - 1: + if langlist[i] == langlist[i+1]: + textlist[i] += textlist[i+1] + del textlist[i+1] + del langlist[i+1] + else: + i += 1 + + return textlist, langlist + + +def clean_text_inf(text, language): + phones, word2ph, norm_text = clean_text(text, language.replace("all_","")) + phones = cleaned_text_to_sequence(phones) + return phones, word2ph, norm_text + +dtype=torch.float16 if is_half == True else torch.float32 +def get_bert_inf(phones, word2ph, norm_text, language): + language=language.replace("all_","") + if language == "zh": + bert = get_bert_feature(norm_text, word2ph).to(device)#.to(dtype) + else: + bert = torch.zeros( + (1024, len(phones)), + dtype=torch.float16 if is_half == True else torch.float32, + ).to(device) + + return bert + + +def nonen_clean_text_inf(text, language): + if(language!="auto"): + textlist, langlist = splite_en_inf(text, language) + else: + textlist=[] + langlist=[] + for tmp in LangSegment.getTexts(text): + langlist.append(tmp["lang"]) + textlist.append(tmp["text"]) + print(textlist) + print(langlist) + phones_list = [] + word2ph_list = [] + norm_text_list = [] + for i in range(len(textlist)): + lang = langlist[i] + phones, word2ph, norm_text = clean_text_inf(textlist[i], lang) + phones_list.append(phones) + if lang == "zh": + word2ph_list.append(word2ph) + norm_text_list.append(norm_text) + print(word2ph_list) + phones = sum(phones_list, []) + word2ph = sum(word2ph_list, []) + norm_text = ' '.join(norm_text_list) + + return phones, word2ph, norm_text + + +def nonen_get_bert_inf(text, language): + if(language!="auto"): + textlist, langlist = splite_en_inf(text, language) + else: + textlist=[] + langlist=[] + for tmp in LangSegment.getTexts(text): + langlist.append(tmp["lang"]) + textlist.append(tmp["text"]) + print(textlist) + print(langlist) + bert_list = [] + for i in range(len(textlist)): + text = textlist[i] + lang = langlist[i] + phones, word2ph, norm_text = clean_text_inf(text, lang) + bert = get_bert_inf(phones, word2ph, norm_text, lang) + bert_list.append(bert) + bert = torch.cat(bert_list, dim=1) + + return bert + + +splits = {"，", "。", "？", "！", ",", ".", "?", "!", "~", ":", "：", "—", "…", } + + +def get_first(text): + pattern = "[" + "".join(re.escape(sep) for sep in splits) + "]" + text = re.split(pattern, text)[0].strip() + return text + + +def get_cleaned_text_fianl(text,language): + if language in {"en","all_zh","all_ja"}: + phones, word2ph, norm_text = clean_text_inf(text, language) + elif language in {"zh", "ja","auto"}: + phones, word2ph, norm_text = nonen_clean_text_inf(text, language) + return phones, word2ph, norm_text + +def get_bert_final(phones, word2ph, norm_text,language,device): + if text_language == "en": + bert = get_bert_inf(phones, word2ph, norm_text, text_language) + elif text_language in {"zh", "ja","auto"}: + bert = nonen_get_bert_inf(text, text_language) + elif text_language == "all_zh": + bert = get_bert_feature(norm_text, word2ph).to(device) + else: + bert = torch.zeros((1024, len(phones))).to(device) + return bert + +def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language, how_to_cut=i18n("不切")): + t0 = ttime() + prompt_text = prompt_text.strip("\n") + if (prompt_text[-1] not in splits): prompt_text += "。" if prompt_language != "en" else "." + text = text.strip("\n") + if (text[0] not in splits and len(get_first(text)) < 4): text = "。" + text if text_language != "en" else "." + text + print(i18n("实际输入的参考文本:"), prompt_text) + print(i18n("实际输入的目标文本:"), text) + zero_wav = np.zeros( + int(hps.data.sampling_rate * 0.3), + dtype=np.float16 if is_half == True else np.float32, + ) + with torch.no_grad(): + wav16k, sr = librosa.load(ref_wav_path, sr=16000) + if (wav16k.shape[0] > 160000 or wav16k.shape[0] < 48000): + raise OSError(i18n("参考音频在3~10秒范围外，请更换！")) + wav16k = torch.from_numpy(wav16k) + zero_wav_torch = torch.from_numpy(zero_wav) + if is_half == True: + wav16k = wav16k.half().to(device) + zero_wav_torch = zero_wav_torch.half().to(device) + else: + wav16k = wav16k.to(device) + zero_wav_torch = zero_wav_torch.to(device) + wav16k = torch.cat([wav16k, zero_wav_torch]) + ssl_content = ssl_model.model(wav16k.unsqueeze(0))[ + "last_hidden_state" + ].transpose( + 1, 2 + ) # .float() + codes = vq_model.extract_latent(ssl_content) + prompt_semantic = codes[0, 0] + t1 = ttime() + prompt_language = dict_language[prompt_language] + text_language = dict_language[text_language] + + phones1, word2ph1, norm_text1=get_cleaned_text_fianl(prompt_text, prompt_language) + + if (how_to_cut == i18n("凑四句一切")): + text = cut1(text) + elif (how_to_cut == i18n("凑50字一切")): + text = cut2(text) + elif (how_to_cut == i18n("按中文句号。切")): + text = cut3(text) + elif (how_to_cut == i18n("按英文句号.切")): + text = cut4(text) + elif (how_to_cut == i18n("按标点符号切")): + text = cut5(text) + text = text.replace("\n\n", "\n").replace("\n\n", "\n").replace("\n\n", "\n") + print(i18n("实际输入的目标文本(切句后):"), text) + texts = text.split("\n") + audio_opt = [] + bert1=get_bert_final(phones1, word2ph1, norm_text1,prompt_language,device).to(dtype) + + for text in texts: + # 解决输入目标文本的空行导致报错的问题 + if (len(text.strip()) == 0): + continue + if (text[-1] not in splits): text += "。" if text_language != "en" else "." + print(i18n("实际输入的目标文本(每句):"), text) + phones2, word2ph2, norm_text2 = get_cleaned_text_fianl(text, text_language) + bert2 = get_bert_final(phones2, word2ph2, norm_text2, text_language, device).to(dtype) + + bert = torch.cat([bert1, bert2], 1) + + all_phoneme_ids = torch.LongTensor(phones1 + phones2).to(device).unsqueeze(0) + bert = bert.to(device).unsqueeze(0) + all_phoneme_len = torch.tensor([all_phoneme_ids.shape[-1]]).to(device) + prompt = prompt_semantic.unsqueeze(0).to(device) + t2 = ttime() + with torch.no_grad(): + # pred_semantic = t2s_model.model.infer( + pred_semantic, idx = t2s_model.model.infer_panel( + all_phoneme_ids, + all_phoneme_len, + prompt, + bert, + # prompt_phone_len=ph_offset, + top_k=config["inference"]["top_k"], + early_stop_num=hz * max_sec, + ) + t3 = ttime() + # print(pred_semantic.shape,idx) + pred_semantic = pred_semantic[:, -idx:].unsqueeze( + 0 + ) # .unsqueeze(0)#mq要多unsqueeze一次 + refer = get_spepc(hps, ref_wav_path) # .to(device) + if is_half == True: + refer = refer.half().to(device) + else: + refer = refer.to(device) + # audio = vq_model.decode(pred_semantic, all_phoneme_ids, refer).detach().cpu().numpy()[0, 0] + audio = ( + vq_model.decode( + pred_semantic, torch.LongTensor(phones2).to(device).unsqueeze(0), refer + ) + .detach() + .cpu() + .numpy()[0, 0] + ) ###试试重建不带上prompt部分 + max_audio=np.abs(audio).max()#简单防止16bit爆音 + if max_audio>1:audio/=max_audio + audio_opt.append(audio) + audio_opt.append(zero_wav) + t4 = ttime() + print("%.3f\t%.3f\t%.3f\t%.3f" % (t1 - t0, t2 - t1, t3 - t2, t4 - t3)) + yield hps.data.sampling_rate, (np.concatenate(audio_opt, 0) * 32768).astype( + np.int16 + ) + + +def split(todo_text): + todo_text = todo_text.replace("……", "。").replace("——", "，") + if todo_text[-1] not in splits: + todo_text += "。" + i_split_head = i_split_tail = 0 + len_text = len(todo_text) + todo_texts = [] + while 1: + if i_split_head >= len_text: + break # 结尾一定有标点，所以直接跳出即可，最后一段在上次已加入 + if todo_text[i_split_head] in splits: + i_split_head += 1 + todo_texts.append(todo_text[i_split_tail:i_split_head]) + i_split_tail = i_split_head + else: + i_split_head += 1 + return todo_texts + + +def cut1(inp): + inp = inp.strip("\n") + inps = split(inp) + split_idx = list(range(0, len(inps), 4)) + split_idx[-1] = None + if len(split_idx) > 1: + opts = [] + for idx in range(len(split_idx) - 1): + opts.append("".join(inps[split_idx[idx]: split_idx[idx + 1]])) + else: + opts = [inp] + return "\n".join(opts) + + +def cut2(inp): + inp = inp.strip("\n") + inps = split(inp) + if len(inps) < 2: + return inp + opts = [] + summ = 0 + tmp_str = "" + for i in range(len(inps)): + summ += len(inps[i]) + tmp_str += inps[i] + if summ > 50: + summ = 0 + opts.append(tmp_str) + tmp_str = "" + if tmp_str != "": + opts.append(tmp_str) + # print(opts) + if len(opts) > 1 and len(opts[-1]) < 50: ##如果最后一个太短了，和前一个合一起 + opts[-2] = opts[-2] + opts[-1] + opts = opts[:-1] + return "\n".join(opts) + + +def cut3(inp): + inp = inp.strip("\n") + return "\n".join(["%s" % item for item in inp.strip("。").split("。")]) + + +def cut4(inp): + inp = inp.strip("\n") + return "\n".join(["%s" % item for item in inp.strip(".").split(".")]) + + +# contributed by https://github.com/AI-Hobbyist/GPT-SoVITS/blob/main/GPT_SoVITS/inference_webui.py +def cut5(inp): + # if not re.search(r'[^\w\s]', inp[-1]): + # inp += '。' + inp = inp.strip("\n") + punds = r'[,.;?!、，。？！;：]' + items = re.split(f'({punds})', inp) + items = ["".join(group) for group in zip(items[::2], items[1::2])] + opt = "\n".join(items) + return opt + + +def custom_sort_key(s): + # 使用正则表达式提取字符串中的数字部分和非数字部分 + parts = re.split('(\d+)', s) + # 将数字部分转换为整数，非数字部分保持不变 + parts = [int(part) if part.isdigit() else part for part in parts] + return parts + + +def change_choices(): + SoVITS_names, GPT_names = get_weights_names() + return {"choices": sorted(SoVITS_names, key=custom_sort_key), "__type__": "update"}, {"choices": sorted(GPT_names, key=custom_sort_key), "__type__": "update"} + + +pretrained_sovits_name = "GPT_SoVITS/pretrained_models/s2G488k.pth" +pretrained_gpt_name = "GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt" +SoVITS_weight_root = "SoVITS_weights" +GPT_weight_root = "GPT_weights" +os.makedirs(SoVITS_weight_root, exist_ok=True) +os.makedirs(GPT_weight_root, exist_ok=True) + + +def get_weights_names(): + SoVITS_names = [pretrained_sovits_name] + for name in os.listdir(SoVITS_weight_root): + if name.endswith(".pth"): SoVITS_names.append("%s/%s" % (SoVITS_weight_root, name)) + GPT_names = [pretrained_gpt_name] + for name in os.listdir(GPT_weight_root): + if name.endswith(".ckpt"): GPT_names.append("%s/%s" % (GPT_weight_root, name)) + return SoVITS_names, GPT_names + + +SoVITS_names, GPT_names = get_weights_names() + +#region 输出音频历史记录相关 +output_history =[] +history_max_num = 20 + +def sync_output_history_to_checkbox_audio(): + checkbox_result = [] + audio_result = [] + for item in output_history: + label = item['label'] + if len(label)>15: + label=label[:15]+'...' + checkbox_result.append(gr.update(label=label,value=False)) + audio_result.append(gr.Audio.update(value=item['value'])) + for _ in range(len(audio_result),history_max_num): + checkbox_result.append(gr.Checkbox.update(label="",value=False)) + audio_result.append(gr.Audio.update(value = None)) + return [*checkbox_result,*audio_result] + +def add_to_history(audio,input_text): + if(audio is None or audio[1] is not None): + if len(output_history) == history_max_num: + output_history.pop() + output_history.insert(0,{'value':audio,'label':input_text}) + + return [*sync_output_history_to_checkbox_audio()] + +def clear_history(): + global output_history + output_history = [] + checkbox_result = [] + audio_result = [] + for _ in range(history_max_num): + checkbox_result.append(gr.Checkbox.update(label="",value=False)) + audio_result.append(gr.Audio.update(value = None)) + return [*checkbox_result,*audio_result] + +def shown_audio_num_change(audio_num): + audio_num = int(audio_num) + audio_result = [] + checkbox_result = [] + for _ in range(audio_num): + audio_result.append(gr.Audio.update(visible=True)) + checkbox_result.append(gr.update(visible=True)) + for _ in range(audio_num,history_max_num): + audio_result.append(gr.Audio.update(visible=False)) + checkbox_result.append(gr.update(visible=False)) + return [*checkbox_result,*audio_result] + +def delete_selected_history(*selected_list): + global output_history + print(f"!!!!!!!!{selected_list}") + for i in reversed(range(len(output_history))): + if(selected_list[i]): + output_history.pop(i) + print(f"!!!!{output_history}") + return [*sync_output_history_to_checkbox_audio()] + +with gr.Blocks(title="GPT-SoVITS WebUI") as app: + gr.Markdown( + value=i18n("本软件以MIT协议开源, 作者不对软件具备任何控制力, 使用软件者、传播软件导出的声音者自负全责.
如不认可该条款, 则不能使用或引用软件包内任何代码和文件. 详见根目录LICENSE.") + ) + with gr.Group(): + gr.Markdown(value=i18n("模型切换")) + with gr.Row(): + GPT_dropdown = gr.Dropdown(label=i18n("GPT模型列表"), choices=sorted(GPT_names, key=custom_sort_key), value=gpt_path, interactive=True) + SoVITS_dropdown = gr.Dropdown(label=i18n("SoVITS模型列表"), choices=sorted(SoVITS_names, key=custom_sort_key), value=sovits_path, interactive=True) + wavs_dropdown = gr.Dropdown(label=i18n("参考音频列表"), choices=reference_wavs,value="请选择参考音频",interactive=True) + refresh_button = gr.Button(i18n("刷新模型路径"), variant="primary") + refresh_button.click(fn=change_choices, inputs=[], outputs=[SoVITS_dropdown, GPT_dropdown]) + # SoVITS_dropdown.change(change_sovits_weights, [SoVITS_dropdown], []) + SoVITS_dropdown.change(change_sovits_weights, [SoVITS_dropdown], [wavs_dropdown]) + GPT_dropdown.change(change_gpt_weights, [GPT_dropdown], []) + gr.Markdown(value=i18n("*请上传并填写参考信息")) + with gr.Row(): + inp_ref = gr.Audio(label=i18n("请上传3~10秒内参考音频，超过会报错！"), type="filepath") + prompt_text = gr.Textbox(label=i18n("参考音频的文本"), value="") + prompt_language = gr.Dropdown( + label=i18n("参考音频的语种"), choices=[i18n("中文"), i18n("英文"), i18n("日文")], value=i18n("中文") + ) + wavs_dropdown.change(change_wav,[wavs_dropdown],[inp_ref]) + gr.Markdown(value=i18n("*请填写需要合成的目标文本。中英混合选中文，日英混合选日文，中日混合暂不支持，非目标语言文本自动遗弃。")) + with gr.Row(): + text = gr.Textbox(label=i18n("需要合成的文本"), value="") + text_language = gr.Dropdown( + label=i18n("需要合成的语种"), choices=[i18n("中文"), i18n("英文"), i18n("日文"), i18n("中英混合"), i18n("日英混合"), i18n("多语种混合")], value=i18n("中文") + ) + how_to_cut = gr.Radio( + label=i18n("怎么切"), + choices=[i18n("不切"), i18n("凑四句一切"), i18n("凑50字一切"), i18n("按中文句号。切"), i18n("按英文句号.切"), i18n("按标点符号切"), ], + value=i18n("凑四句一切"), + interactive=True, + ) + inference_button = gr.Button(i18n("合成语音"), variant="primary") + output = gr.Audio(label=i18n("输出的语音")) + + inference_button.click( + get_tts_wav, + [inp_ref, prompt_text, prompt_language, text, text_language, how_to_cut], + [output], + ) + history_audio = [] + history_checkbox = [] + with gr.Accordion("生成历史"): + with gr.Row(): + shown_audio_num = gr.Slider(1,20,history_max_num,step=1,interactive=True,label="记录显示数量") + add_history_button = gr.Button("添加当前音频记录",variant="primary") + delete_select_history_button = gr.Button("删除选择的记录") + clear_history_button = gr.Button("清空记录") + index=0 + while(index [b, n_h, t, d_k] + b, d, t_s, t_t = (*key.size(), query.size(2)) + query = query.view(b, self.n_heads, self.k_channels, t_t).transpose(2, 3) + key = key.view(b, self.n_heads, self.k_channels, t_s).transpose(2, 3) + value = value.view(b, self.n_heads, self.k_channels, t_s).transpose(2, 3) + + scores = torch.matmul(query / math.sqrt(self.k_channels), key.transpose(-2, -1)) + if self.window_size is not None: + assert ( + t_s == t_t + ), "Relative attention is only available for self-attention." + key_relative_embeddings = self._get_relative_embeddings(self.emb_rel_k, t_s) + rel_logits = self._matmul_with_relative_keys( + query / math.sqrt(self.k_channels), key_relative_embeddings + ) + scores_local = self._relative_position_to_absolute_position(rel_logits) + scores = scores + scores_local + if self.proximal_bias: + assert t_s == t_t, "Proximal bias is only available for self-attention." + scores = scores + self._attention_bias_proximal(t_s).to( + device=scores.device, dtype=scores.dtype + ) + if mask is not None: + scores = scores.masked_fill(mask == 0, -1e4) + if self.block_length is not None: + assert ( + t_s == t_t + ), "Local attention is only available for self-attention." + block_mask = ( + torch.ones_like(scores) + .triu(-self.block_length) + .tril(self.block_length) + ) + scores = scores.masked_fill(block_mask == 0, -1e4) + p_attn = F.softmax(scores, dim=-1) # [b, n_h, t_t, t_s] + p_attn = self.drop(p_attn) + output = torch.matmul(p_attn, value) + if self.window_size is not None: + relative_weights = self._absolute_position_to_relative_position(p_attn) + value_relative_embeddings = self._get_relative_embeddings( + self.emb_rel_v, t_s + ) + output = output + self._matmul_with_relative_values( + relative_weights, value_relative_embeddings + ) + output = ( + output.transpose(2, 3).contiguous().view(b, d, t_t) + ) # [b, n_h, t_t, d_k] -> [b, d, t_t] + return output, p_attn + + def _matmul_with_relative_values(self, x, y): + """ + x: [b, h, l, m] + y: [h or 1, m, d] + ret: [b, h, l, d] + """ + ret = torch.matmul(x, y.unsqueeze(0)) + return ret + + def _matmul_with_relative_keys(self, x, y): + """ + x: [b, h, l, d] + y: [h or 1, m, d] + ret: [b, h, l, m] + """ + ret = torch.matmul(x, y.unsqueeze(0).transpose(-2, -1)) + return ret + + def _get_relative_embeddings(self, relative_embeddings, length): + max_relative_position = 2 * self.window_size + 1 + # Pad first before slice to avoid using cond ops. + pad_length = max(length - (self.window_size + 1), 0) + slice_start_position = max((self.window_size + 1) - length, 0) + slice_end_position = slice_start_position + 2 * length - 1 + if pad_length > 0: + padded_relative_embeddings = F.pad( + relative_embeddings, + commons.convert_pad_shape([[0, 0], [pad_length, pad_length], [0, 0]]), + ) + else: + padded_relative_embeddings = relative_embeddings + used_relative_embeddings = padded_relative_embeddings[ + :, slice_start_position:slice_end_position + ] + return used_relative_embeddings + + def _relative_position_to_absolute_position(self, x): + """ + x: [b, h, l, 2*l-1] + ret: [b, h, l, l] + """ + batch, heads, length, _ = x.size() + # Concat columns of pad to shift from relative to absolute indexing. + x = F.pad(x, commons.convert_pad_shape([[0, 0], [0, 0], [0, 0], [0, 1]])) + + # Concat extra elements so to add up to shape (len+1, 2*len-1). + x_flat = x.view([batch, heads, length * 2 * length]) + x_flat = F.pad( + x_flat, commons.convert_pad_shape([[0, 0], [0, 0], [0, length - 1]]) + ) + + # Reshape and slice out the padded elements. + x_final = x_flat.view([batch, heads, length + 1, 2 * length - 1])[ + :, :, :length, length - 1 : + ] + return x_final + + def _absolute_position_to_relative_position(self, x): + """ + x: [b, h, l, l] + ret: [b, h, l, 2*l-1] + """ + batch, heads, length, _ = x.size() + # padd along column + x = F.pad( + x, commons.convert_pad_shape([[0, 0], [0, 0], [0, 0], [0, length - 1]]) + ) + x_flat = x.view([batch, heads, length**2 + length * (length - 1)]) + # add 0's in the beginning that will skew the elements after reshape + x_flat = F.pad(x_flat, commons.convert_pad_shape([[0, 0], [0, 0], [length, 0]])) + x_final = x_flat.view([batch, heads, length, 2 * length])[:, :, :, 1:] + return x_final + + def _attention_bias_proximal(self, length): + """Bias for self-attention to encourage attention to close positions. + Args: + length: an integer scalar. + Returns: + a Tensor with shape [1, 1, length, length] + """ + r = torch.arange(length, dtype=torch.float32) + diff = torch.unsqueeze(r, 0) - torch.unsqueeze(r, 1) + return torch.unsqueeze(torch.unsqueeze(-torch.log1p(torch.abs(diff)), 0), 0) + + +class FFN(nn.Module): + def __init__( + self, + in_channels, + out_channels, + filter_channels, + kernel_size, + p_dropout=0.0, + activation=None, + causal=False, + ): + super().__init__() + self.in_channels = in_channels + self.out_channels = out_channels + self.filter_channels = filter_channels + self.kernel_size = kernel_size + self.p_dropout = p_dropout + self.activation = activation + self.causal = causal + + if causal: + self.padding = self._causal_padding + else: + self.padding = self._same_padding + + self.conv_1 = nn.Conv1d(in_channels, filter_channels, kernel_size) + self.conv_2 = nn.Conv1d(filter_channels, out_channels, kernel_size) + self.drop = nn.Dropout(p_dropout) + + def forward(self, x, x_mask): + x = self.conv_1(self.padding(x * x_mask)) + if self.activation == "gelu": + x = x * torch.sigmoid(1.702 * x) + else: + x = torch.relu(x) + x = self.drop(x) + x = self.conv_2(self.padding(x * x_mask)) + return x * x_mask + + def _causal_padding(self, x): + if self.kernel_size == 1: + return x + pad_l = self.kernel_size - 1 + pad_r = 0 + padding = [[0, 0], [0, 0], [pad_l, pad_r]] + x = F.pad(x, commons.convert_pad_shape(padding)) + return x + + def _same_padding(self, x): + if self.kernel_size == 1: + return x + pad_l = (self.kernel_size - 1) // 2 + pad_r = self.kernel_size // 2 + padding = [[0, 0], [0, 0], [pad_l, pad_r]] + x = F.pad(x, commons.convert_pad_shape(padding)) + return x + + +import torch.nn as nn +from torch.nn.utils import remove_weight_norm, weight_norm + + +class Depthwise_Separable_Conv1D(nn.Module): + def __init__( + self, + in_channels, + out_channels, + kernel_size, + stride=1, + padding=0, + dilation=1, + bias=True, + padding_mode="zeros", # TODO: refine this type + device=None, + dtype=None, + ): + super().__init__() + self.depth_conv = nn.Conv1d( + in_channels=in_channels, + out_channels=in_channels, + kernel_size=kernel_size, + groups=in_channels, + stride=stride, + padding=padding, + dilation=dilation, + bias=bias, + padding_mode=padding_mode, + device=device, + dtype=dtype, + ) + self.point_conv = nn.Conv1d( + in_channels=in_channels, + out_channels=out_channels, + kernel_size=1, + bias=bias, + device=device, + dtype=dtype, + ) + + def forward(self, input): + return self.point_conv(self.depth_conv(input)) + + def weight_norm(self): + self.depth_conv = weight_norm(self.depth_conv, name="weight") + self.point_conv = weight_norm(self.point_conv, name="weight") + + def remove_weight_norm(self): + self.depth_conv = remove_weight_norm(self.depth_conv, name="weight") + self.point_conv = remove_weight_norm(self.point_conv, name="weight") + + +class Depthwise_Separable_TransposeConv1D(nn.Module): + def __init__( + self, + in_channels, + out_channels, + kernel_size, + stride=1, + padding=0, + output_padding=0, + bias=True, + dilation=1, + padding_mode="zeros", # TODO: refine this type + device=None, + dtype=None, + ): + super().__init__() + self.depth_conv = nn.ConvTranspose1d( + in_channels=in_channels, + out_channels=in_channels, + kernel_size=kernel_size, + groups=in_channels, + stride=stride, + output_padding=output_padding, + padding=padding, + dilation=dilation, + bias=bias, + padding_mode=padding_mode, + device=device, + dtype=dtype, + ) + self.point_conv = nn.Conv1d( + in_channels=in_channels, + out_channels=out_channels, + kernel_size=1, + bias=bias, + device=device, + dtype=dtype, + ) + + def forward(self, input): + return self.point_conv(self.depth_conv(input)) + + def weight_norm(self): + self.depth_conv = weight_norm(self.depth_conv, name="weight") + self.point_conv = weight_norm(self.point_conv, name="weight") + + def remove_weight_norm(self): + remove_weight_norm(self.depth_conv, name="weight") + remove_weight_norm(self.point_conv, name="weight") + + +def weight_norm_modules(module, name="weight", dim=0): + if isinstance(module, Depthwise_Separable_Conv1D) or isinstance( + module, Depthwise_Separable_TransposeConv1D + ): + module.weight_norm() + return module + else: + return weight_norm(module, name, dim) + + +def remove_weight_norm_modules(module, name="weight"): + if isinstance(module, Depthwise_Separable_Conv1D) or isinstance( + module, Depthwise_Separable_TransposeConv1D + ): + module.remove_weight_norm() + else: + remove_weight_norm(module, name) + + +class FFT(nn.Module): + def __init__( + self, + hidden_channels, + filter_channels, + n_heads, + n_layers=1, + kernel_size=1, + p_dropout=0.0, + proximal_bias=False, + proximal_init=True, + isflow=False, + **kwargs + ): + super().__init__() + self.hidden_channels = hidden_channels + self.filter_channels = filter_channels + self.n_heads = n_heads + self.n_layers = n_layers + self.kernel_size = kernel_size + self.p_dropout = p_dropout + self.proximal_bias = proximal_bias + self.proximal_init = proximal_init + if isflow: + cond_layer = torch.nn.Conv1d( + kwargs["gin_channels"], 2 * hidden_channels * n_layers, 1 + ) + self.cond_pre = torch.nn.Conv1d(hidden_channels, 2 * hidden_channels, 1) + self.cond_layer = weight_norm_modules(cond_layer, name="weight") + self.gin_channels = kwargs["gin_channels"] + self.drop = nn.Dropout(p_dropout) + self.self_attn_layers = nn.ModuleList() + self.norm_layers_0 = nn.ModuleList() + self.ffn_layers = nn.ModuleList() + self.norm_layers_1 = nn.ModuleList() + for i in range(self.n_layers): + self.self_attn_layers.append( + MultiHeadAttention( + hidden_channels, + hidden_channels, + n_heads, + p_dropout=p_dropout, + proximal_bias=proximal_bias, + proximal_init=proximal_init, + ) + ) + self.norm_layers_0.append(LayerNorm(hidden_channels)) + self.ffn_layers.append( + FFN( + hidden_channels, + hidden_channels, + filter_channels, + kernel_size, + p_dropout=p_dropout, + causal=True, + ) + ) + self.norm_layers_1.append(LayerNorm(hidden_channels)) + + def forward(self, x, x_mask, g=None): + """ + x: decoder input + h: encoder output + """ + if g is not None: + g = self.cond_layer(g) + + self_attn_mask = commons.subsequent_mask(x_mask.size(2)).to( + device=x.device, dtype=x.dtype + ) + x = x * x_mask + for i in range(self.n_layers): + if g is not None: + x = self.cond_pre(x) + cond_offset = i * 2 * self.hidden_channels + g_l = g[:, cond_offset : cond_offset + 2 * self.hidden_channels, :] + x = commons.fused_add_tanh_sigmoid_multiply( + x, g_l, torch.IntTensor([self.hidden_channels]) + ) + y = self.self_attn_layers[i](x, x, self_attn_mask) + y = self.drop(y) + x = self.norm_layers_0[i](x + y) + + y = self.ffn_layers[i](x, x_mask) + y = self.drop(y) + x = self.norm_layers_1[i](x + y) + x = x * x_mask + return x + + +class TransformerCouplingLayer(nn.Module): + def __init__( + self, + channels, + hidden_channels, + kernel_size, + n_layers, + n_heads, + p_dropout=0, + filter_channels=0, + mean_only=False, + wn_sharing_parameter=None, + gin_channels=0, + ): + assert channels % 2 == 0, "channels should be divisible by 2" + super().__init__() + self.channels = channels + self.hidden_channels = hidden_channels + self.kernel_size = kernel_size + self.n_layers = n_layers + self.half_channels = channels // 2 + self.mean_only = mean_only + + self.pre = nn.Conv1d(self.half_channels, hidden_channels, 1) + self.enc = ( + Encoder( + hidden_channels, + filter_channels, + n_heads, + n_layers, + kernel_size, + p_dropout, + isflow=True, + gin_channels=gin_channels, + ) + if wn_sharing_parameter is None + else wn_sharing_parameter + ) + self.post = nn.Conv1d(hidden_channels, self.half_channels * (2 - mean_only), 1) + self.post.weight.data.zero_() + self.post.bias.data.zero_() + + def forward(self, x, x_mask, g=None, reverse=False): + x0, x1 = torch.split(x, [self.half_channels] * 2, 1) + h = self.pre(x0) * x_mask + h = self.enc(h, x_mask, g=g) + stats = self.post(h) * x_mask + if not self.mean_only: + m, logs = torch.split(stats, [self.half_channels] * 2, 1) + else: + m = stats + logs = torch.zeros_like(m) + + if not reverse: + x1 = m + x1 * torch.exp(logs) * x_mask + x = torch.cat([x0, x1], 1) + logdet = torch.sum(logs, [1, 2]) + return x, logdet + else: + x1 = (x1 - m) * torch.exp(-logs) * x_mask + x = torch.cat([x0, x1], 1) + return x diff --git a/GPT_SoVITS/module/attentions_onnx.py b/GPT_SoVITS/module/attentions_onnx.py new file mode 100644 index 0000000000000000000000000000000000000000..df0ae8247b86c8d5006c3b600fa4dfa556ed578d --- /dev/null +++ b/GPT_SoVITS/module/attentions_onnx.py @@ -0,0 +1,365 @@ +import math +import torch +from torch import nn +from torch.nn import functional as F + +from module import commons +from module.modules import LayerNorm + + +class LayerNorm(nn.Module): + def __init__(self, channels, eps=1e-5): + super().__init__() + self.channels = channels + self.eps = eps + + self.gamma = nn.Parameter(torch.ones(channels)) + self.beta = nn.Parameter(torch.zeros(channels)) + + def forward(self, x): + x = x.transpose(1, -1) + x = F.layer_norm(x, (self.channels,), self.gamma, self.beta, self.eps) + return x.transpose(1, -1) + + +@torch.jit.script +def fused_add_tanh_sigmoid_multiply(input_a, input_b, n_channels): + n_channels_int = n_channels[0] + in_act = input_a + input_b + t_act = torch.tanh(in_act[:, :n_channels_int, :]) + s_act = torch.sigmoid(in_act[:, n_channels_int:, :]) + acts = t_act * s_act + return acts + + +class Encoder(nn.Module): + def __init__( + self, + hidden_channels, + filter_channels, + n_heads, + n_layers, + kernel_size=1, + p_dropout=0.0, + window_size=4, + isflow=True, + **kwargs + ): + super().__init__() + self.hidden_channels = hidden_channels + self.filter_channels = filter_channels + self.n_heads = n_heads + self.n_layers = n_layers + self.kernel_size = kernel_size + self.p_dropout = p_dropout + self.window_size = window_size + # if isflow: + # cond_layer = torch.nn.Conv1d(256, 2*hidden_channels*n_layers, 1) + # self.cond_pre = torch.nn.Conv1d(hidden_channels, 2*hidden_channels, 1) + # self.cond_layer = weight_norm(cond_layer, name='weight') + # self.gin_channels = 256 + self.cond_layer_idx = self.n_layers + if "gin_channels" in kwargs: + self.gin_channels = kwargs["gin_channels"] + if self.gin_channels != 0: + self.spk_emb_linear = nn.Linear(self.gin_channels, self.hidden_channels) + # vits2 says 3rd block, so idx is 2 by default + self.cond_layer_idx = ( + kwargs["cond_layer_idx"] if "cond_layer_idx" in kwargs else 2 + ) + logging.debug(self.gin_channels, self.cond_layer_idx) + assert ( + self.cond_layer_idx < self.n_layers + ), "cond_layer_idx should be less than n_layers" + self.drop = nn.Dropout(p_dropout) + self.attn_layers = nn.ModuleList() + self.norm_layers_1 = nn.ModuleList() + self.ffn_layers = nn.ModuleList() + self.norm_layers_2 = nn.ModuleList() + for i in range(self.n_layers): + self.attn_layers.append( + MultiHeadAttention( + hidden_channels, + hidden_channels, + n_heads, + p_dropout=p_dropout, + window_size=window_size, + ) + ) + self.norm_layers_1.append(LayerNorm(hidden_channels)) + self.ffn_layers.append( + FFN( + hidden_channels, + hidden_channels, + filter_channels, + kernel_size, + p_dropout=p_dropout, + ) + ) + self.norm_layers_2.append(LayerNorm(hidden_channels)) + + def forward(self, x, x_mask, g=None): + attn_mask = x_mask.unsqueeze(2) * x_mask.unsqueeze(-1) + x = x * x_mask + for i in range(self.n_layers): + if i == self.cond_layer_idx and g is not None: + g = self.spk_emb_linear(g.transpose(1, 2)) + g = g.transpose(1, 2) + x = x + g + x = x * x_mask + y = self.attn_layers[i](x, x, attn_mask) + y = self.drop(y) + x = self.norm_layers_1[i](x + y) + + y = self.ffn_layers[i](x, x_mask) + y = self.drop(y) + x = self.norm_layers_2[i](x + y) + x = x * x_mask + return x + + +class MultiHeadAttention(nn.Module): + def __init__( + self, + channels, + out_channels, + n_heads, + p_dropout=0.0, + window_size=None, + heads_share=True, + block_length=None, + proximal_bias=False, + proximal_init=False, + ): + super().__init__() + assert channels % n_heads == 0 + + self.channels = channels + self.out_channels = out_channels + self.n_heads = n_heads + self.p_dropout = p_dropout + self.window_size = window_size + self.heads_share = heads_share + self.block_length = block_length + self.proximal_bias = proximal_bias + self.proximal_init = proximal_init + self.attn = None + + self.k_channels = channels // n_heads + self.conv_q = nn.Conv1d(channels, channels, 1) + self.conv_k = nn.Conv1d(channels, channels, 1) + self.conv_v = nn.Conv1d(channels, channels, 1) + self.conv_o = nn.Conv1d(channels, out_channels, 1) + self.drop = nn.Dropout(p_dropout) + + if window_size is not None: + n_heads_rel = 1 if heads_share else n_heads + rel_stddev = self.k_channels**-0.5 + self.emb_rel_k = nn.Parameter( + torch.randn(n_heads_rel, window_size * 2 + 1, self.k_channels) + * rel_stddev + ) + self.emb_rel_v = nn.Parameter( + torch.randn(n_heads_rel, window_size * 2 + 1, self.k_channels) + * rel_stddev + ) + + nn.init.xavier_uniform_(self.conv_q.weight) + nn.init.xavier_uniform_(self.conv_k.weight) + nn.init.xavier_uniform_(self.conv_v.weight) + if proximal_init: + with torch.no_grad(): + self.conv_k.weight.copy_(self.conv_q.weight) + self.conv_k.bias.copy_(self.conv_q.bias) + + def forward(self, x, c, attn_mask=None): + q = self.conv_q(x) + k = self.conv_k(c) + v = self.conv_v(c) + + x, self.attn = self.attention(q, k, v, mask=attn_mask) + + x = self.conv_o(x) + return x + + def attention(self, query, key, value, mask=None): + # reshape [b, d, t] -> [b, n_h, t, d_k] + b, d, t_s, _ = (*key.size(), query.size(2)) + query = query.view(b, self.n_heads, self.k_channels, -1).transpose(2, 3) + key = key.view(b, self.n_heads, self.k_channels, -1).transpose(2, 3) + value = value.view(b, self.n_heads, self.k_channels, -1).transpose(2, 3) + + scores = torch.matmul(query / math.sqrt(self.k_channels), key.transpose(-2, -1)) + if self.window_size is not None: + key_relative_embeddings = self._get_relative_embeddings(self.emb_rel_k, t_s) + rel_logits = self._matmul_with_relative_keys( + query / math.sqrt(self.k_channels), key_relative_embeddings + ) + scores_local = self._relative_position_to_absolute_position(rel_logits) + scores = scores + scores_local + if mask is not None: + scores = scores.masked_fill(mask == 0, -1e4) + if self.block_length is not None: + block_mask = ( + torch.ones_like(scores) + .triu(-self.block_length) + .tril(self.block_length) + ) + scores = scores.masked_fill(block_mask == 0, -1e4) + p_attn = F.softmax(scores, dim=-1) + p_attn = self.drop(p_attn) + output = torch.matmul(p_attn, value) + if self.window_size is not None: + relative_weights = self._absolute_position_to_relative_position(p_attn) + value_relative_embeddings = self._get_relative_embeddings( + self.emb_rel_v, t_s + ) + output = output + self._matmul_with_relative_values( + relative_weights, value_relative_embeddings + ) + output = ( + output.transpose(2, 3).contiguous().view(b, d, -1) + ) + return output, p_attn + + def _matmul_with_relative_values(self, x, y): + """ + x: [b, h, l, m] + y: [h or 1, m, d] + ret: [b, h, l, d] + """ + ret = torch.matmul(x, y.unsqueeze(0)) + return ret + + def _matmul_with_relative_keys(self, x, y): + """ + x: [b, h, l, d] + y: [h or 1, m, d] + ret: [b, h, l, m] + """ + ret = torch.matmul(x, y.unsqueeze(0).transpose(-2, -1)) + return ret + + def _get_relative_embeddings(self, relative_embeddings, length): + max_relative_position = 2 * self.window_size + 1 + # Pad first before slice to avoid using cond ops. + pad_length = max(length - (self.window_size + 1), 0) + slice_start_position = max((self.window_size + 1) - length, 0) + slice_end_position = slice_start_position + 2 * length - 1 + if pad_length > 0: + padded_relative_embeddings = F.pad( + relative_embeddings, + commons.convert_pad_shape([[0, 0], [pad_length, pad_length], [0, 0]]), + ) + else: + padded_relative_embeddings = relative_embeddings + used_relative_embeddings = padded_relative_embeddings[ + :, slice_start_position:slice_end_position + ] + return used_relative_embeddings + + def _relative_position_to_absolute_position(self, x): + """ + x: [b, h, l, 2*l-1] + ret: [b, h, l, l] + """ + batch, heads, length, _ = x.size() + # Concat columns of pad to shift from relative to absolute indexing. + x = F.pad(x, commons.convert_pad_shape([[0, 0], [0, 0], [0, 0], [0, 1]])) + + # Concat extra elements so to add up to shape (len+1, 2*len-1). + x_flat = x.view([batch, heads, length * 2 * length]) + x_flat = F.pad( + x_flat, commons.convert_pad_shape([[0, 0], [0, 0], [0, length - 1]]) + ) + + # Reshape and slice out the padded elements. + x_final = x_flat.view([batch, heads, length + 1, 2 * length - 1])[ + :, :, :length, length - 1 : + ] + return x_final + + def _absolute_position_to_relative_position(self, x): + """ + x: [b, h, l, l] + ret: [b, h, l, 2*l-1] + """ + batch, heads, length, _ = x.size() + # padd along column + x = F.pad( + x, commons.convert_pad_shape([[0, 0], [0, 0], [0, 0], [0, length - 1]]) + ) + x_flat = x.view([batch, heads, length**2 + length * (length - 1)]) + # add 0's in the beginning that will skew the elements after reshape + x_flat = F.pad(x_flat, commons.convert_pad_shape([[0, 0], [0, 0], [length, 0]])) + x_final = x_flat.view([batch, heads, length, 2 * length])[:, :, :, 1:] + return x_final + + def _attention_bias_proximal(self, length): + """Bias for self-attention to encourage attention to close positions. + Args: + length: an integer scalar. + Returns: + a Tensor with shape [1, 1, length, length] + """ + r = torch.arange(length, dtype=torch.float32) + diff = torch.unsqueeze(r, 0) - torch.unsqueeze(r, 1) + return torch.unsqueeze(torch.unsqueeze(-torch.log1p(torch.abs(diff)), 0), 0) + + +class FFN(nn.Module): + def __init__( + self, + in_channels, + out_channels, + filter_channels, + kernel_size, + p_dropout=0.0, + activation=None, + causal=False, + ): + super().__init__() + self.in_channels = in_channels + self.out_channels = out_channels + self.filter_channels = filter_channels + self.kernel_size = kernel_size + self.p_dropout = p_dropout + self.activation = activation + self.causal = causal + + if causal: + self.padding = self._causal_padding + else: + self.padding = self._same_padding + + self.conv_1 = nn.Conv1d(in_channels, filter_channels, kernel_size) + self.conv_2 = nn.Conv1d(filter_channels, out_channels, kernel_size) + self.drop = nn.Dropout(p_dropout) + + def forward(self, x, x_mask): + x = self.conv_1(self.padding(x * x_mask)) + if self.activation == "gelu": + x = x * torch.sigmoid(1.702 * x) + else: + x = torch.relu(x) + x = self.drop(x) + x = self.conv_2(self.padding(x * x_mask)) + return x * x_mask + + def _causal_padding(self, x): + if self.kernel_size == 1: + return x + pad_l = self.kernel_size - 1 + pad_r = 0 + padding = [[0, 0], [0, 0], [pad_l, pad_r]] + x = F.pad(x, commons.convert_pad_shape(padding)) + return x + + def _same_padding(self, x): + if self.kernel_size == 1: + return x + pad_l = (self.kernel_size - 1) // 2 + pad_r = self.kernel_size // 2 + padding = [[0, 0], [0, 0], [pad_l, pad_r]] + x = F.pad(x, commons.convert_pad_shape(padding)) + return x diff --git a/GPT_SoVITS/module/commons.py b/GPT_SoVITS/module/commons.py new file mode 100644 index 0000000000000000000000000000000000000000..e96cf923515c7f5648af9dfedaa803df3f4f28be --- /dev/null +++ b/GPT_SoVITS/module/commons.py @@ -0,0 +1,189 @@ +import math +import torch +from torch.nn import functional as F + + +def init_weights(m, mean=0.0, std=0.01): + classname = m.__class__.__name__ + if classname.find("Conv") != -1: + m.weight.data.normal_(mean, std) + + +def get_padding(kernel_size, dilation=1): + return int((kernel_size * dilation - dilation) / 2) + + +def convert_pad_shape(pad_shape): + l = pad_shape[::-1] + pad_shape = [item for sublist in l for item in sublist] + return pad_shape + + +def intersperse(lst, item): + result = [item] * (len(lst) * 2 + 1) + result[1::2] = lst + return result + + +def kl_divergence(m_p, logs_p, m_q, logs_q): + """KL(P||Q)""" + kl = (logs_q - logs_p) - 0.5 + kl += ( + 0.5 * (torch.exp(2.0 * logs_p) + ((m_p - m_q) ** 2)) * torch.exp(-2.0 * logs_q) + ) + return kl + + +def rand_gumbel(shape): + """Sample from the Gumbel distribution, protect from overflows.""" + uniform_samples = torch.rand(shape) * 0.99998 + 0.00001 + return -torch.log(-torch.log(uniform_samples)) + + +def rand_gumbel_like(x): + g = rand_gumbel(x.size()).to(dtype=x.dtype, device=x.device) + return g + + +def slice_segments(x, ids_str, segment_size=4): + ret = torch.zeros_like(x[:, :, :segment_size]) + for i in range(x.size(0)): + idx_str = ids_str[i] + idx_end = idx_str + segment_size + ret[i] = x[i, :, idx_str:idx_end] + return ret + + +def rand_slice_segments(x, x_lengths=None, segment_size=4): + b, d, t = x.size() + if x_lengths is None: + x_lengths = t + ids_str_max = x_lengths - segment_size + 1 + ids_str = (torch.rand([b]).to(device=x.device) * ids_str_max).to(dtype=torch.long) + ret = slice_segments(x, ids_str, segment_size) + return ret, ids_str + + +def get_timing_signal_1d(length, channels, min_timescale=1.0, max_timescale=1.0e4): + position = torch.arange(length, dtype=torch.float) + num_timescales = channels // 2 + log_timescale_increment = math.log(float(max_timescale) / float(min_timescale)) / ( + num_timescales - 1 + ) + inv_timescales = min_timescale * torch.exp( + torch.arange(num_timescales, dtype=torch.float) * -log_timescale_increment + ) + scaled_time = position.unsqueeze(0) * inv_timescales.unsqueeze(1) + signal = torch.cat([torch.sin(scaled_time), torch.cos(scaled_time)], 0) + signal = F.pad(signal, [0, 0, 0, channels % 2]) + signal = signal.view(1, channels, length) + return signal + + +def add_timing_signal_1d(x, min_timescale=1.0, max_timescale=1.0e4): + b, channels, length = x.size() + signal = get_timing_signal_1d(length, channels, min_timescale, max_timescale) + return x + signal.to(dtype=x.dtype, device=x.device) + + +def cat_timing_signal_1d(x, min_timescale=1.0, max_timescale=1.0e4, axis=1): + b, channels, length = x.size() + signal = get_timing_signal_1d(length, channels, min_timescale, max_timescale) + return torch.cat([x, signal.to(dtype=x.dtype, device=x.device)], axis) + + +def subsequent_mask(length): + mask = torch.tril(torch.ones(length, length)).unsqueeze(0).unsqueeze(0) + return mask + + +@torch.jit.script +def fused_add_tanh_sigmoid_multiply(input_a, input_b, n_channels): + n_channels_int = n_channels[0] + in_act = input_a + input_b + t_act = torch.tanh(in_act[:, :n_channels_int, :]) + s_act = torch.sigmoid(in_act[:, n_channels_int:, :]) + acts = t_act * s_act + return acts + + +def convert_pad_shape(pad_shape): + l = pad_shape[::-1] + pad_shape = [item for sublist in l for item in sublist] + return pad_shape + + +def shift_1d(x): + x = F.pad(x, convert_pad_shape([[0, 0], [0, 0], [1, 0]]))[:, :, :-1] + return x + + +def sequence_mask(length, max_length=None): + if max_length is None: + max_length = length.max() + x = torch.arange(max_length, dtype=length.dtype, device=length.device) + return x.unsqueeze(0) < length.unsqueeze(1) + + +def generate_path(duration, mask): + """ + duration: [b, 1, t_x] + mask: [b, 1, t_y, t_x] + """ + device = duration.device + + b, _, t_y, t_x = mask.shape + cum_duration = torch.cumsum(duration, -1) + + cum_duration_flat = cum_duration.view(b * t_x) + path = sequence_mask(cum_duration_flat, t_y).to(mask.dtype) + path = path.view(b, t_x, t_y) + path = path - F.pad(path, convert_pad_shape([[0, 0], [1, 0], [0, 0]]))[:, :-1] + path = path.unsqueeze(1).transpose(2, 3) * mask + return path + + +def clip_grad_value_(parameters, clip_value, norm_type=2): + if isinstance(parameters, torch.Tensor): + parameters = [parameters] + parameters = list(filter(lambda p: p.grad is not None, parameters)) + norm_type = float(norm_type) + if clip_value is not None: + clip_value = float(clip_value) + + total_norm = 0 + for p in parameters: + param_norm = p.grad.data.norm(norm_type) + total_norm += param_norm.item() ** norm_type + if clip_value is not None: + p.grad.data.clamp_(min=-clip_value, max=clip_value) + total_norm = total_norm ** (1.0 / norm_type) + return total_norm + + +def squeeze(x, x_mask=None, n_sqz=2): + b, c, t = x.size() + + t = (t // n_sqz) * n_sqz + x = x[:, :, :t] + x_sqz = x.view(b, c, t // n_sqz, n_sqz) + x_sqz = x_sqz.permute(0, 3, 1, 2).contiguous().view(b, c * n_sqz, t // n_sqz) + + if x_mask is not None: + x_mask = x_mask[:, :, n_sqz - 1 :: n_sqz] + else: + x_mask = torch.ones(b, 1, t // n_sqz).to(device=x.device, dtype=x.dtype) + return x_sqz * x_mask, x_mask + + +def unsqueeze(x, x_mask=None, n_sqz=2): + b, c, t = x.size() + + x_unsqz = x.view(b, n_sqz, c // n_sqz, t) + x_unsqz = x_unsqz.permute(0, 2, 3, 1).contiguous().view(b, c // n_sqz, t * n_sqz) + + if x_mask is not None: + x_mask = x_mask.unsqueeze(-1).repeat(1, 1, 1, n_sqz).view(b, 1, t * n_sqz) + else: + x_mask = torch.ones(b, 1, t * n_sqz).to(device=x.device, dtype=x.dtype) + return x_unsqz * x_mask, x_mask diff --git a/GPT_SoVITS/module/core_vq.py b/GPT_SoVITS/module/core_vq.py new file mode 100644 index 0000000000000000000000000000000000000000..a5e22d667631d22a561189651e18e821800b57a5 --- /dev/null +++ b/GPT_SoVITS/module/core_vq.py @@ -0,0 +1,383 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. +# +# This implementation is inspired from +# https://github.com/lucidrains/vector-quantize-pytorch +# which is released under MIT License. Hereafter, the original license: +# MIT License +# +# Copyright (c) 2020 Phil Wang +# +# Permission is hereby granted, free of charge, to any person obtaining a copy +# of this software and associated documentation files (the "Software"), to deal +# in the Software without restriction, including without limitation the rights +# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +# copies of the Software, and to permit persons to whom the Software is +# furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in all +# copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +# SOFTWARE. + +"""Core vector quantization implementation.""" +import typing as tp + +from einops import rearrange, repeat +import torch +from torch import nn +import torch.nn.functional as F +from tqdm import tqdm + + +def default(val: tp.Any, d: tp.Any) -> tp.Any: + return val if val is not None else d + + +def ema_inplace(moving_avg, new, decay: float): + moving_avg.data.mul_(decay).add_(new, alpha=(1 - decay)) + + +def laplace_smoothing(x, n_categories: int, epsilon: float = 1e-5): + return (x + epsilon) / (x.sum() + n_categories * epsilon) + + +def uniform_init(*shape: int): + t = torch.empty(shape) + nn.init.kaiming_uniform_(t) + return t + + +def sample_vectors(samples, num: int): + num_samples, device = samples.shape[0], samples.device + + if num_samples >= num: + indices = torch.randperm(num_samples, device=device)[:num] + else: + indices = torch.randint(0, num_samples, (num,), device=device) + + return samples[indices] + + +def kmeans(samples, num_clusters: int, num_iters: int = 10): + dim, dtype = samples.shape[-1], samples.dtype + max_kmeans_samples = 500 + samples = samples[:max_kmeans_samples, :] + means = sample_vectors(samples, num_clusters) + + print("kmeans start ... ") + for _ in tqdm(range(num_iters)): + diffs = rearrange(samples, "n d -> n () d") - rearrange(means, "c d -> () c d") + dists = -(diffs**2).sum(dim=-1) + + buckets = dists.max(dim=-1).indices + bins = torch.bincount(buckets, minlength=num_clusters) + zero_mask = bins == 0 + bins_min_clamped = bins.masked_fill(zero_mask, 1) + + new_means = buckets.new_zeros(num_clusters, dim, dtype=dtype) + new_means.scatter_add_(0, repeat(buckets, "n -> n d", d=dim), samples) + new_means = new_means / bins_min_clamped[..., None] + + means = torch.where(zero_mask[..., None], means, new_means) + + return means, bins + + +class EuclideanCodebook(nn.Module): + """Codebook with Euclidean distance. + Args: + dim (int): Dimension. + codebook_size (int): Codebook size. + kmeans_init (bool): Whether to use k-means to initialize the codebooks. + If set to true, run the k-means algorithm on the first training batch and use + the learned centroids as initialization. + kmeans_iters (int): Number of iterations used for k-means algorithm at initialization. + decay (float): Decay for exponential moving average over the codebooks. + epsilon (float): Epsilon value for numerical stability. + threshold_ema_dead_code (int): Threshold for dead code expiration. Replace any codes + that have an exponential moving average cluster size less than the specified threshold with + randomly selected vector from the current batch. + """ + + def __init__( + self, + dim: int, + codebook_size: int, + kmeans_init: int = False, + kmeans_iters: int = 10, + decay: float = 0.99, + epsilon: float = 1e-5, + threshold_ema_dead_code: int = 2, + ): + super().__init__() + self.decay = decay + init_fn: tp.Union[tp.Callable[..., torch.Tensor], tp.Any] = ( + uniform_init if not kmeans_init else torch.zeros + ) + embed = init_fn(codebook_size, dim) + + self.codebook_size = codebook_size + + self.kmeans_iters = kmeans_iters + self.epsilon = epsilon + self.threshold_ema_dead_code = threshold_ema_dead_code + + self.register_buffer("inited", torch.Tensor([not kmeans_init])) + self.register_buffer("cluster_size", torch.zeros(codebook_size)) + self.register_buffer("embed", embed) + self.register_buffer("embed_avg", embed.clone()) + + @torch.jit.ignore + def init_embed_(self, data): + if self.inited: + return + + embed, cluster_size = kmeans(data, self.codebook_size, self.kmeans_iters) + self.embed.data.copy_(embed) + self.embed_avg.data.copy_(embed.clone()) + self.cluster_size.data.copy_(cluster_size) + self.inited.data.copy_(torch.Tensor([True])) + # Make sure all buffers across workers are in sync after initialization + # broadcast_tensors(self.buffers()) + + def replace_(self, samples, mask): + modified_codebook = torch.where( + mask[..., None], sample_vectors(samples, self.codebook_size), self.embed + ) + self.embed.data.copy_(modified_codebook) + + def expire_codes_(self, batch_samples): + if self.threshold_ema_dead_code == 0: + return + + expired_codes = self.cluster_size < self.threshold_ema_dead_code + if not torch.any(expired_codes): + return + + batch_samples = rearrange(batch_samples, "... d -> (...) d") + self.replace_(batch_samples, mask=expired_codes) + # broadcast_tensors(self.buffers()) + + def preprocess(self, x): + x = rearrange(x, "... d -> (...) d") + return x + + def quantize(self, x): + embed = self.embed.t() + dist = -( + x.pow(2).sum(1, keepdim=True) + - 2 * x @ embed + + embed.pow(2).sum(0, keepdim=True) + ) + embed_ind = dist.max(dim=-1).indices + return embed_ind + + def postprocess_emb(self, embed_ind, shape): + return embed_ind.view(*shape[:-1]) + + def dequantize(self, embed_ind): + quantize = F.embedding(embed_ind, self.embed) + return quantize + + def encode(self, x): + shape = x.shape + # pre-process + x = self.preprocess(x) + # quantize + embed_ind = self.quantize(x) + # post-process + embed_ind = self.postprocess_emb(embed_ind, shape) + return embed_ind + + def decode(self, embed_ind): + quantize = self.dequantize(embed_ind) + return quantize + + def forward(self, x): + shape, dtype = x.shape, x.dtype + x = self.preprocess(x) + + self.init_embed_(x) + + embed_ind = self.quantize(x) + embed_onehot = F.one_hot(embed_ind, self.codebook_size).type(dtype) + embed_ind = self.postprocess_emb(embed_ind, shape) + quantize = self.dequantize(embed_ind) + + if self.training: + # We do the expiry of code at that point as buffers are in sync + # and all the workers will take the same decision. + self.expire_codes_(x) + ema_inplace(self.cluster_size, embed_onehot.sum(0), self.decay) + embed_sum = x.t() @ embed_onehot + ema_inplace(self.embed_avg, embed_sum.t(), self.decay) + cluster_size = ( + laplace_smoothing(self.cluster_size, self.codebook_size, self.epsilon) + * self.cluster_size.sum() + ) + embed_normalized = self.embed_avg / cluster_size.unsqueeze(1) + self.embed.data.copy_(embed_normalized) + + return quantize, embed_ind + + +class VectorQuantization(nn.Module): + """Vector quantization implementation. + Currently supports only euclidean distance. + Args: + dim (int): Dimension + codebook_size (int): Codebook size + codebook_dim (int): Codebook dimension. If not defined, uses the specified dimension in dim. + decay (float): Decay for exponential moving average over the codebooks. + epsilon (float): Epsilon value for numerical stability. + kmeans_init (bool): Whether to use kmeans to initialize the codebooks. + kmeans_iters (int): Number of iterations used for kmeans initialization. + threshold_ema_dead_code (int): Threshold for dead code expiration. Replace any codes + that have an exponential moving average cluster size less than the specified threshold with + randomly selected vector from the current batch. + commitment_weight (float): Weight for commitment loss. + """ + + def __init__( + self, + dim: int, + codebook_size: int, + codebook_dim: tp.Optional[int] = None, + decay: float = 0.99, + epsilon: float = 1e-5, + kmeans_init: bool = True, + kmeans_iters: int = 50, + threshold_ema_dead_code: int = 2, + commitment_weight: float = 1.0, + ): + super().__init__() + _codebook_dim: int = default(codebook_dim, dim) + + requires_projection = _codebook_dim != dim + self.project_in = ( + nn.Linear(dim, _codebook_dim) if requires_projection else nn.Identity() + ) + self.project_out = ( + nn.Linear(_codebook_dim, dim) if requires_projection else nn.Identity() + ) + + self.epsilon = epsilon + self.commitment_weight = commitment_weight + + self._codebook = EuclideanCodebook( + dim=_codebook_dim, + codebook_size=codebook_size, + kmeans_init=kmeans_init, + kmeans_iters=kmeans_iters, + decay=decay, + epsilon=epsilon, + threshold_ema_dead_code=threshold_ema_dead_code, + ) + self.codebook_size = codebook_size + + @property + def codebook(self): + return self._codebook.embed + + def encode(self, x): + x = rearrange(x, "b d n -> b n d") + x = self.project_in(x) + embed_in = self._codebook.encode(x) + return embed_in + + def decode(self, embed_ind): + quantize = self._codebook.decode(embed_ind) + quantize = self.project_out(quantize) + quantize = rearrange(quantize, "b n d -> b d n") + return quantize + + def forward(self, x): + device = x.device + x = rearrange(x, "b d n -> b n d") + x = self.project_in(x) + + quantize, embed_ind = self._codebook(x) + + if self.training: + quantize = x + (quantize - x).detach() + + loss = torch.tensor([0.0], device=device, requires_grad=self.training) + + if self.training: + if self.commitment_weight > 0: + commit_loss = F.mse_loss(quantize.detach(), x) + loss = loss + commit_loss * self.commitment_weight + + quantize = self.project_out(quantize) + quantize = rearrange(quantize, "b n d -> b d n") + return quantize, embed_ind, loss + + +class ResidualVectorQuantization(nn.Module): + """Residual vector quantization implementation. + Follows Algorithm 1. in https://arxiv.org/pdf/2107.03312.pdf + """ + + def __init__(self, *, num_quantizers, **kwargs): + super().__init__() + self.layers = nn.ModuleList( + [VectorQuantization(**kwargs) for _ in range(num_quantizers)] + ) + + def forward( + self, x, n_q: tp.Optional[int] = None, layers: tp.Optional[list] = None + ): + quantized_out = 0.0 + residual = x + + all_losses = [] + all_indices = [] + out_quantized = [] + + n_q = n_q or len(self.layers) + + for i, layer in enumerate(self.layers[:n_q]): + quantized, indices, loss = layer(residual) + residual = residual - quantized + quantized_out = quantized_out + quantized + + all_indices.append(indices) + all_losses.append(loss) + if layers and i in layers: + out_quantized.append(quantized) + + out_losses, out_indices = map(torch.stack, (all_losses, all_indices)) + return quantized_out, out_indices, out_losses, out_quantized + + def encode( + self, x: torch.Tensor, n_q: tp.Optional[int] = None, st: tp.Optional[int] = None + ) -> torch.Tensor: + residual = x + all_indices = [] + n_q = n_q or len(self.layers) + st = st or 0 + for layer in self.layers[st:n_q]: + indices = layer.encode(residual) + quantized = layer.decode(indices) + residual = residual - quantized + all_indices.append(indices) + out_indices = torch.stack(all_indices) + return out_indices + + def decode(self, q_indices: torch.Tensor, st: int = 0) -> torch.Tensor: + quantized_out = torch.tensor(0.0, device=q_indices.device) + for i, indices in enumerate(q_indices): + layer = self.layers[st + i] + quantized = layer.decode(indices) + quantized_out = quantized_out + quantized + return quantized_out diff --git a/GPT_SoVITS/module/data_utils.py b/GPT_SoVITS/module/data_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..ff4c4f4311db8a3fda0a6052ba00ac0c622a9236 --- /dev/null +++ b/GPT_SoVITS/module/data_utils.py @@ -0,0 +1,332 @@ +import time +import logging +import os +import random +import traceback +import numpy as np +import torch +import torch.utils.data +from tqdm import tqdm + +from module import commons +from module.mel_processing import spectrogram_torch +from text import cleaned_text_to_sequence +from utils import load_wav_to_torch, load_filepaths_and_text +import torch.nn.functional as F +from functools import lru_cache +import requests +from scipy.io import wavfile +from io import BytesIO +from my_utils import load_audio + +# ZeroDivisionError fixed by Tybost (https://github.com/RVC-Boss/GPT-SoVITS/issues/79) +class TextAudioSpeakerLoader(torch.utils.data.Dataset): + """ + 1) loads audio, speaker_id, text pairs + 2) normalizes text and converts them to sequences of integers + 3) computes spectrograms from audio files. + """ + + def __init__(self, hparams, val=False): + exp_dir = hparams.exp_dir + self.path2 = "%s/2-name2text.txt" % exp_dir + self.path4 = "%s/4-cnhubert" % exp_dir + self.path5 = "%s/5-wav32k" % exp_dir + assert os.path.exists(self.path2) + assert os.path.exists(self.path4) + assert os.path.exists(self.path5) + names4 = set([name[:-3] for name in list(os.listdir(self.path4))]) # 去除.pt后缀 + names5 = set(os.listdir(self.path5)) + self.phoneme_data = {} + with open(self.path2, "r", encoding="utf8") as f: + lines = f.read().strip("\n").split("\n") + + for line in lines: + tmp = line.split("\t") + if (len(tmp) != 4): + continue + self.phoneme_data[tmp[0]] = [tmp[1]] + + self.audiopaths_sid_text = list(set(self.phoneme_data) & names4 & names5) + tmp = self.audiopaths_sid_text + leng = len(tmp) + min_num = 100 + if (leng < min_num): + self.audiopaths_sid_text = [] + for _ in range(max(2, int(min_num / leng))): + self.audiopaths_sid_text += tmp + self.max_wav_value = hparams.max_wav_value + self.sampling_rate = hparams.sampling_rate + self.filter_length = hparams.filter_length + self.hop_length = hparams.hop_length + self.win_length = hparams.win_length + self.sampling_rate = hparams.sampling_rate + self.val = val + + random.seed(1234) + random.shuffle(self.audiopaths_sid_text) + + print("phoneme_data_len:", len(self.phoneme_data.keys())) + print("wav_data_len:", len(self.audiopaths_sid_text)) + + audiopaths_sid_text_new = [] + lengths = [] + skipped_phone = 0 + skipped_dur = 0 + for audiopath in tqdm(self.audiopaths_sid_text): + try: + phoneme = self.phoneme_data[audiopath][0] + phoneme = phoneme.split(' ') + phoneme_ids = cleaned_text_to_sequence(phoneme) + except Exception: + print(f"{audiopath} not in self.phoneme_data !") + skipped_phone += 1 + continue + + size = os.path.getsize("%s/%s" % (self.path5, audiopath)) + duration = size / self.sampling_rate / 2 + + if duration == 0: + print(f"Zero duration for {audiopath}, skipping...") + skipped_dur += 1 + continue + + if 54 > duration > 0.6 or self.val: + audiopaths_sid_text_new.append([audiopath, phoneme_ids]) + lengths.append(size // (2 * self.hop_length)) + else: + skipped_dur += 1 + continue + + print("skipped_phone: ", skipped_phone, ", skipped_dur: ", skipped_dur) + print("total left: ", len(audiopaths_sid_text_new)) + assert len(audiopaths_sid_text_new) > 1 # 至少能凑够batch size，这里todo + self.audiopaths_sid_text = audiopaths_sid_text_new + self.lengths = lengths + + def get_audio_text_speaker_pair(self, audiopath_sid_text): + audiopath, phoneme_ids = audiopath_sid_text + text = torch.FloatTensor(phoneme_ids) + try: + spec, wav = self.get_audio("%s/%s" % (self.path5, audiopath)) + with torch.no_grad(): + ssl = torch.load("%s/%s.pt" % (self.path4, audiopath), map_location="cpu") + if (ssl.shape[-1] != spec.shape[-1]): + typee = ssl.dtype + ssl = F.pad(ssl.float(), (0, 1), mode="replicate").to(typee) + ssl.requires_grad = False + except: + traceback.print_exc() + spec = torch.zeros(1025, 100) + wav = torch.zeros(1, 100 * self.hop_length) + ssl = torch.zeros(1, 768, 100) + text = text[-1:] + print("load audio or ssl error!!!!!!", audiopath) + return (ssl, spec, wav, text) + + def get_audio(self, filename): + audio_array = load_audio(filename, self.sampling_rate) # load_audio的方法是已经归一化到-1~1之间的，不用再/32768 + audio = torch.FloatTensor(audio_array) # /32768 + audio_norm = audio + audio_norm = audio_norm.unsqueeze(0) + spec = spectrogram_torch(audio_norm, self.filter_length, self.sampling_rate, self.hop_length, self.win_length, + center=False) + spec = torch.squeeze(spec, 0) + return spec, audio_norm + + def get_sid(self, sid): + sid = torch.LongTensor([int(sid)]) + return sid + + def __getitem__(self, index): + # with torch.no_grad(): + return self.get_audio_text_speaker_pair(self.audiopaths_sid_text[index]) + + def __len__(self): + return len(self.audiopaths_sid_text) + + def random_slice(self, ssl, wav, mel): + assert abs(ssl.shape[-1] - wav.shape[-1] // self.hop_length) < 3, ( + "first", ssl.shape, wav.shape) + + len_mel = mel.shape[1] + if self.val: + reference_mel = mel[:, :len_mel // 3] + return reference_mel, ssl, wav, mel + dir = random.randint(0, 1) + sep_point = random.randint(int(len_mel // 3), int(len_mel // 3 * 2)) + + if dir == 0: + reference_mel = mel[:, :sep_point] + ssl = ssl[:, :, sep_point:] + wav2 = wav[:, sep_point * self.hop_length:] + mel = mel[:, sep_point:] + else: + reference_mel = mel[:, sep_point:] + ssl = ssl[:, :, :sep_point] + wav2 = wav[:, :sep_point * self.hop_length] + mel = mel[:, :sep_point] + + assert abs(ssl.shape[-1] - wav2.shape[-1] // self.hop_length) < 3, ( + ssl.shape, wav.shape, wav2.shape, mel.shape, sep_point, self.hop_length, sep_point * self.hop_length, dir) + return reference_mel, ssl, wav2, mel + + +class TextAudioSpeakerCollate(): + """ Zero-pads model inputs and targets + """ + + def __init__(self, return_ids=False): + self.return_ids = return_ids + + def __call__(self, batch): + """Collate's training batch from normalized text, audio and speaker identities + PARAMS + ------ + batch: [text_normalized, spec_normalized, wav_normalized, sid] + """ + # Right zero-pad all one-hot text sequences to max input length + _, ids_sorted_decreasing = torch.sort( + torch.LongTensor([x[1].size(1) for x in batch]), + dim=0, descending=True) + + max_ssl_len = max([x[0].size(2) for x in batch]) + max_ssl_len = int(2 * ((max_ssl_len // 2) + 1)) + max_spec_len = max([x[1].size(1) for x in batch]) + max_spec_len = int(2 * ((max_spec_len // 2) + 1)) + max_wav_len = max([x[2].size(1) for x in batch]) + max_text_len = max([x[3].size(0) for x in batch]) + + ssl_lengths = torch.LongTensor(len(batch)) + spec_lengths = torch.LongTensor(len(batch)) + wav_lengths = torch.LongTensor(len(batch)) + text_lengths = torch.LongTensor(len(batch)) + + spec_padded = torch.FloatTensor(len(batch), batch[0][1].size(0), max_spec_len) + wav_padded = torch.FloatTensor(len(batch), 1, max_wav_len) + ssl_padded = torch.FloatTensor(len(batch), batch[0][0].size(1), max_ssl_len) + text_padded = torch.LongTensor(len(batch), max_text_len) + + spec_padded.zero_() + wav_padded.zero_() + ssl_padded.zero_() + text_padded.zero_() + + for i in range(len(ids_sorted_decreasing)): + row = batch[ids_sorted_decreasing[i]] + + ssl = row[0] + ssl_padded[i, :, :ssl.size(2)] = ssl[0, :, :] + ssl_lengths[i] = ssl.size(2) + + spec = row[1] + spec_padded[i, :, :spec.size(1)] = spec + spec_lengths[i] = spec.size(1) + + wav = row[2] + wav_padded[i, :, :wav.size(1)] = wav + wav_lengths[i] = wav.size(1) + + text = row[3] + text_padded[i, :text.size(0)] = text + text_lengths[i] = text.size(0) + + return ssl_padded, ssl_lengths, spec_padded, spec_lengths, wav_padded, wav_lengths, text_padded, text_lengths + + +class DistributedBucketSampler(torch.utils.data.distributed.DistributedSampler): + """ + Maintain similar input lengths in a batch. + Length groups are specified by boundaries. + Ex) boundaries = [b1, b2, b3] -> any batch is included either {x | b1 < length(x) <=b2} or {x | b2 < length(x) <= b3}. + + It removes samples which are not included in the boundaries. + Ex) boundaries = [b1, b2, b3] -> any x s.t. length(x) <= b1 or length(x) > b3 are discarded. + """ + + def __init__(self, dataset, batch_size, boundaries, num_replicas=None, rank=None, shuffle=True): + super().__init__(dataset, num_replicas=num_replicas, rank=rank, shuffle=shuffle) + self.lengths = dataset.lengths + self.batch_size = batch_size + self.boundaries = boundaries + + self.buckets, self.num_samples_per_bucket = self._create_buckets() + self.total_size = sum(self.num_samples_per_bucket) + self.num_samples = self.total_size // self.num_replicas + + def _create_buckets(self): + buckets = [[] for _ in range(len(self.boundaries) - 1)] + for i in range(len(self.lengths)): + length = self.lengths[i] + idx_bucket = self._bisect(length) + if idx_bucket != -1: + buckets[idx_bucket].append(i) + + i = len(buckets) - 1 + while i >= 0: + if len(buckets[i]) == 0: + buckets.pop(i) + self.boundaries.pop(i + 1) + i -= 1 + + num_samples_per_bucket = [] + for i in range(len(buckets)): + len_bucket = len(buckets[i]) + total_batch_size = self.num_replicas * self.batch_size + rem = (total_batch_size - (len_bucket % total_batch_size)) % total_batch_size + num_samples_per_bucket.append(len_bucket + rem) + return buckets, num_samples_per_bucket + + def __iter__(self): + g = torch.Generator() + g.manual_seed(self.epoch) + + indices = [] + if self.shuffle: + for bucket in self.buckets: + indices.append(torch.randperm(len(bucket), generator=g).tolist()) + else: + for bucket in self.buckets: + indices.append(list(range(len(bucket)))) + + batches = [] + for i in range(len(self.buckets)): + bucket = self.buckets[i] + len_bucket = len(bucket) + ids_bucket = indices[i] + num_samples_bucket = self.num_samples_per_bucket[i] + + rem = num_samples_bucket - len_bucket + ids_bucket = ids_bucket + ids_bucket * (rem // len_bucket) + ids_bucket[:(rem % len_bucket)] + + ids_bucket = ids_bucket[self.rank::self.num_replicas] + + for j in range(len(ids_bucket) // self.batch_size): + batch = [bucket[idx] for idx in ids_bucket[j * self.batch_size:(j + 1) * self.batch_size]] + batches.append(batch) + + if self.shuffle: + batch_ids = torch.randperm(len(batches), generator=g).tolist() + batches = [batches[i] for i in batch_ids] + self.batches = batches + + assert len(self.batches) * self.batch_size == self.num_samples + return iter(self.batches) + + def _bisect(self, x, lo=0, hi=None): + if hi is None: + hi = len(self.boundaries) - 1 + + if hi > lo: + mid = (hi + lo) // 2 + if self.boundaries[mid] < x and x <= self.boundaries[mid + 1]: + return mid + elif x <= self.boundaries[mid]: + return self._bisect(x, lo, mid) + else: + return self._bisect(x, mid + 1, hi) + else: + return -1 + + def __len__(self): + return self.num_samples // self.batch_size \ No newline at end of file diff --git a/GPT_SoVITS/module/losses.py b/GPT_SoVITS/module/losses.py new file mode 100644 index 0000000000000000000000000000000000000000..b23fc8c1d5403d8d1ac19bb57e734029dcd67a19 --- /dev/null +++ b/GPT_SoVITS/module/losses.py @@ -0,0 +1,73 @@ +import math + +import torch +from torch.nn import functional as F + + +def feature_loss(fmap_r, fmap_g): + loss = 0 + for dr, dg in zip(fmap_r, fmap_g): + for rl, gl in zip(dr, dg): + rl = rl.float().detach() + gl = gl.float() + loss += torch.mean(torch.abs(rl - gl)) + + return loss * 2 + + +def discriminator_loss(disc_real_outputs, disc_generated_outputs): + loss = 0 + r_losses = [] + g_losses = [] + for dr, dg in zip(disc_real_outputs, disc_generated_outputs): + dr = dr.float() + dg = dg.float() + r_loss = torch.mean((1 - dr) ** 2) + g_loss = torch.mean(dg**2) + loss += r_loss + g_loss + r_losses.append(r_loss.item()) + g_losses.append(g_loss.item()) + + return loss, r_losses, g_losses + + +def generator_loss(disc_outputs): + loss = 0 + gen_losses = [] + for dg in disc_outputs: + dg = dg.float() + l = torch.mean((1 - dg) ** 2) + gen_losses.append(l) + loss += l + + return loss, gen_losses + + +def kl_loss(z_p, logs_q, m_p, logs_p, z_mask): + """ + z_p, logs_q: [b, h, t_t] + m_p, logs_p: [b, h, t_t] + """ + z_p = z_p.float() + logs_q = logs_q.float() + m_p = m_p.float() + logs_p = logs_p.float() + z_mask = z_mask.float() + + kl = logs_p - logs_q - 0.5 + kl += 0.5 * ((z_p - m_p) ** 2) * torch.exp(-2.0 * logs_p) + kl = torch.sum(kl * z_mask) + l = kl / torch.sum(z_mask) + return l + + +def mle_loss(z, m, logs, logdet, mask): + l = torch.sum(logs) + 0.5 * torch.sum( + torch.exp(-2 * logs) * ((z - m) ** 2) + ) # neg normal likelihood w/o the constant term + l = l - torch.sum(logdet) # log jacobian determinant + l = l / torch.sum( + torch.ones_like(z) * mask + ) # averaging across batch, channel and time axes + l = l + 0.5 * math.log(2 * math.pi) # add the remaining constant term + return l diff --git a/GPT_SoVITS/module/mel_processing.py b/GPT_SoVITS/module/mel_processing.py new file mode 100644 index 0000000000000000000000000000000000000000..503825ec6df0ba395b36739516a5d21842eb72d8 --- /dev/null +++ b/GPT_SoVITS/module/mel_processing.py @@ -0,0 +1,153 @@ +import math +import os +import random +import torch +from torch import nn +import torch.nn.functional as F +import torch.utils.data +import numpy as np +import librosa +import librosa.util as librosa_util +from librosa.util import normalize, pad_center, tiny +from scipy.signal import get_window +from scipy.io.wavfile import read +from librosa.filters import mel as librosa_mel_fn + +MAX_WAV_VALUE = 32768.0 + + +def dynamic_range_compression_torch(x, C=1, clip_val=1e-5): + """ + PARAMS + ------ + C: compression factor + """ + return torch.log(torch.clamp(x, min=clip_val) * C) + + +def dynamic_range_decompression_torch(x, C=1): + """ + PARAMS + ------ + C: compression factor used to compress + """ + return torch.exp(x) / C + + +def spectral_normalize_torch(magnitudes): + output = dynamic_range_compression_torch(magnitudes) + return output + + +def spectral_de_normalize_torch(magnitudes): + output = dynamic_range_decompression_torch(magnitudes) + return output + + +mel_basis = {} +hann_window = {} + + +def spectrogram_torch(y, n_fft, sampling_rate, hop_size, win_size, center=False): + if torch.min(y) < -1.0: + print("min value is ", torch.min(y)) + if torch.max(y) > 1.0: + print("max value is ", torch.max(y)) + + global hann_window + dtype_device = str(y.dtype) + "_" + str(y.device) + wnsize_dtype_device = str(win_size) + "_" + dtype_device + if wnsize_dtype_device not in hann_window: + hann_window[wnsize_dtype_device] = torch.hann_window(win_size).to( + dtype=y.dtype, device=y.device + ) + + y = torch.nn.functional.pad( + y.unsqueeze(1), + (int((n_fft - hop_size) / 2), int((n_fft - hop_size) / 2)), + mode="reflect", + ) + y = y.squeeze(1) + spec = torch.stft( + y, + n_fft, + hop_length=hop_size, + win_length=win_size, + window=hann_window[wnsize_dtype_device], + center=center, + pad_mode="reflect", + normalized=False, + onesided=True, + return_complex=False, + ) + + spec = torch.sqrt(spec.pow(2).sum(-1) + 1e-6) + return spec + + +def spec_to_mel_torch(spec, n_fft, num_mels, sampling_rate, fmin, fmax): + global mel_basis + dtype_device = str(spec.dtype) + "_" + str(spec.device) + fmax_dtype_device = str(fmax) + "_" + dtype_device + if fmax_dtype_device not in mel_basis: + mel = librosa_mel_fn( + sr=sampling_rate, n_fft=n_fft, n_mels=num_mels, fmin=fmin, fmax=fmax + ) + mel_basis[fmax_dtype_device] = torch.from_numpy(mel).to( + dtype=spec.dtype, device=spec.device + ) + spec = torch.matmul(mel_basis[fmax_dtype_device], spec) + spec = spectral_normalize_torch(spec) + return spec + + +def mel_spectrogram_torch( + y, n_fft, num_mels, sampling_rate, hop_size, win_size, fmin, fmax, center=False +): + if torch.min(y) < -1.0: + print("min value is ", torch.min(y)) + if torch.max(y) > 1.0: + print("max value is ", torch.max(y)) + + global mel_basis, hann_window + dtype_device = str(y.dtype) + "_" + str(y.device) + fmax_dtype_device = str(fmax) + "_" + dtype_device + wnsize_dtype_device = str(win_size) + "_" + dtype_device + if fmax_dtype_device not in mel_basis: + mel = librosa_mel_fn( + sr=sampling_rate, n_fft=n_fft, n_mels=num_mels, fmin=fmin, fmax=fmax + ) + mel_basis[fmax_dtype_device] = torch.from_numpy(mel).to( + dtype=y.dtype, device=y.device + ) + if wnsize_dtype_device not in hann_window: + hann_window[wnsize_dtype_device] = torch.hann_window(win_size).to( + dtype=y.dtype, device=y.device + ) + + y = torch.nn.functional.pad( + y.unsqueeze(1), + (int((n_fft - hop_size) / 2), int((n_fft - hop_size) / 2)), + mode="reflect", + ) + y = y.squeeze(1) + + spec = torch.stft( + y, + n_fft, + hop_length=hop_size, + win_length=win_size, + window=hann_window[wnsize_dtype_device], + center=center, + pad_mode="reflect", + normalized=False, + onesided=True, + return_complex=False, + ) + + spec = torch.sqrt(spec.pow(2).sum(-1) + 1e-6) + + spec = torch.matmul(mel_basis[fmax_dtype_device], spec) + spec = spectral_normalize_torch(spec) + + return spec diff --git a/GPT_SoVITS/module/models.py b/GPT_SoVITS/module/models.py new file mode 100644 index 0000000000000000000000000000000000000000..034f00728030aa6b7c2520ea4f286fe2a3f96750 --- /dev/null +++ b/GPT_SoVITS/module/models.py @@ -0,0 +1,989 @@ +import copy +import math +import torch +from torch import nn +from torch.nn import functional as F + +from module import commons +from module import modules +from module import attentions + +from torch.nn import Conv1d, ConvTranspose1d, AvgPool1d, Conv2d +from torch.nn.utils import weight_norm, remove_weight_norm, spectral_norm +from module.commons import init_weights, get_padding +from module.mrte_model import MRTE +from module.quantize import ResidualVectorQuantizer +from text.symbols import symbols +from torch.cuda.amp import autocast + + +class StochasticDurationPredictor(nn.Module): + def __init__( + self, + in_channels, + filter_channels, + kernel_size, + p_dropout, + n_flows=4, + gin_channels=0, + ): + super().__init__() + filter_channels = in_channels # it needs to be removed from future version. + self.in_channels = in_channels + self.filter_channels = filter_channels + self.kernel_size = kernel_size + self.p_dropout = p_dropout + self.n_flows = n_flows + self.gin_channels = gin_channels + + self.log_flow = modules.Log() + self.flows = nn.ModuleList() + self.flows.append(modules.ElementwiseAffine(2)) + for i in range(n_flows): + self.flows.append( + modules.ConvFlow(2, filter_channels, kernel_size, n_layers=3) + ) + self.flows.append(modules.Flip()) + + self.post_pre = nn.Conv1d(1, filter_channels, 1) + self.post_proj = nn.Conv1d(filter_channels, filter_channels, 1) + self.post_convs = modules.DDSConv( + filter_channels, kernel_size, n_layers=3, p_dropout=p_dropout + ) + self.post_flows = nn.ModuleList() + self.post_flows.append(modules.ElementwiseAffine(2)) + for i in range(4): + self.post_flows.append( + modules.ConvFlow(2, filter_channels, kernel_size, n_layers=3) + ) + self.post_flows.append(modules.Flip()) + + self.pre = nn.Conv1d(in_channels, filter_channels, 1) + self.proj = nn.Conv1d(filter_channels, filter_channels, 1) + self.convs = modules.DDSConv( + filter_channels, kernel_size, n_layers=3, p_dropout=p_dropout + ) + if gin_channels != 0: + self.cond = nn.Conv1d(gin_channels, filter_channels, 1) + + def forward(self, x, x_mask, w=None, g=None, reverse=False, noise_scale=1.0): + x = torch.detach(x) + x = self.pre(x) + if g is not None: + g = torch.detach(g) + x = x + self.cond(g) + x = self.convs(x, x_mask) + x = self.proj(x) * x_mask + + if not reverse: + flows = self.flows + assert w is not None + + logdet_tot_q = 0 + h_w = self.post_pre(w) + h_w = self.post_convs(h_w, x_mask) + h_w = self.post_proj(h_w) * x_mask + e_q = ( + torch.randn(w.size(0), 2, w.size(2)).to(device=x.device, dtype=x.dtype) + * x_mask + ) + z_q = e_q + for flow in self.post_flows: + z_q, logdet_q = flow(z_q, x_mask, g=(x + h_w)) + logdet_tot_q += logdet_q + z_u, z1 = torch.split(z_q, [1, 1], 1) + u = torch.sigmoid(z_u) * x_mask + z0 = (w - u) * x_mask + logdet_tot_q += torch.sum( + (F.logsigmoid(z_u) + F.logsigmoid(-z_u)) * x_mask, [1, 2] + ) + logq = ( + torch.sum(-0.5 * (math.log(2 * math.pi) + (e_q**2)) * x_mask, [1, 2]) + - logdet_tot_q + ) + + logdet_tot = 0 + z0, logdet = self.log_flow(z0, x_mask) + logdet_tot += logdet + z = torch.cat([z0, z1], 1) + for flow in flows: + z, logdet = flow(z, x_mask, g=x, reverse=reverse) + logdet_tot = logdet_tot + logdet + nll = ( + torch.sum(0.5 * (math.log(2 * math.pi) + (z**2)) * x_mask, [1, 2]) + - logdet_tot + ) + return nll + logq # [b] + else: + flows = list(reversed(self.flows)) + flows = flows[:-2] + [flows[-1]] # remove a useless vflow + z = ( + torch.randn(x.size(0), 2, x.size(2)).to(device=x.device, dtype=x.dtype) + * noise_scale + ) + for flow in flows: + z = flow(z, x_mask, g=x, reverse=reverse) + z0, z1 = torch.split(z, [1, 1], 1) + logw = z0 + return logw + + +class DurationPredictor(nn.Module): + def __init__( + self, in_channels, filter_channels, kernel_size, p_dropout, gin_channels=0 + ): + super().__init__() + + self.in_channels = in_channels + self.filter_channels = filter_channels + self.kernel_size = kernel_size + self.p_dropout = p_dropout + self.gin_channels = gin_channels + + self.drop = nn.Dropout(p_dropout) + self.conv_1 = nn.Conv1d( + in_channels, filter_channels, kernel_size, padding=kernel_size // 2 + ) + self.norm_1 = modules.LayerNorm(filter_channels) + self.conv_2 = nn.Conv1d( + filter_channels, filter_channels, kernel_size, padding=kernel_size // 2 + ) + self.norm_2 = modules.LayerNorm(filter_channels) + self.proj = nn.Conv1d(filter_channels, 1, 1) + + if gin_channels != 0: + self.cond = nn.Conv1d(gin_channels, in_channels, 1) + + def forward(self, x, x_mask, g=None): + x = torch.detach(x) + if g is not None: + g = torch.detach(g) + x = x + self.cond(g) + x = self.conv_1(x * x_mask) + x = torch.relu(x) + x = self.norm_1(x) + x = self.drop(x) + x = self.conv_2(x * x_mask) + x = torch.relu(x) + x = self.norm_2(x) + x = self.drop(x) + x = self.proj(x * x_mask) + return x * x_mask + + +class TextEncoder(nn.Module): + def __init__( + self, + out_channels, + hidden_channels, + filter_channels, + n_heads, + n_layers, + kernel_size, + p_dropout, + latent_channels=192, + ): + super().__init__() + self.out_channels = out_channels + self.hidden_channels = hidden_channels + self.filter_channels = filter_channels + self.n_heads = n_heads + self.n_layers = n_layers + self.kernel_size = kernel_size + self.p_dropout = p_dropout + self.latent_channels = latent_channels + + self.ssl_proj = nn.Conv1d(768, hidden_channels, 1) + + self.encoder_ssl = attentions.Encoder( + hidden_channels, + filter_channels, + n_heads, + n_layers // 2, + kernel_size, + p_dropout, + ) + + self.encoder_text = attentions.Encoder( + hidden_channels, filter_channels, n_heads, n_layers, kernel_size, p_dropout + ) + self.text_embedding = nn.Embedding(len(symbols), hidden_channels) + + self.mrte = MRTE() + + self.encoder2 = attentions.Encoder( + hidden_channels, + filter_channels, + n_heads, + n_layers // 2, + kernel_size, + p_dropout, + ) + + self.proj = nn.Conv1d(hidden_channels, out_channels * 2, 1) + + def forward(self, y, y_lengths, text, text_lengths, ge, test=None): + y_mask = torch.unsqueeze(commons.sequence_mask(y_lengths, y.size(2)), 1).to( + y.dtype + ) + + y = self.ssl_proj(y * y_mask) * y_mask + y = self.encoder_ssl(y * y_mask, y_mask) + + text_mask = torch.unsqueeze( + commons.sequence_mask(text_lengths, text.size(1)), 1 + ).to(y.dtype) + if test == 1: + text[:, :] = 0 + text = self.text_embedding(text).transpose(1, 2) + text = self.encoder_text(text * text_mask, text_mask) + y = self.mrte(y, y_mask, text, text_mask, ge) + + y = self.encoder2(y * y_mask, y_mask) + + stats = self.proj(y) * y_mask + m, logs = torch.split(stats, self.out_channels, dim=1) + return y, m, logs, y_mask + + def extract_latent(self, x): + x = self.ssl_proj(x) + quantized, codes, commit_loss, quantized_list = self.quantizer(x) + return codes.transpose(0, 1) + + def decode_latent(self, codes, y_mask, refer, refer_mask, ge): + quantized = self.quantizer.decode(codes) + + y = self.vq_proj(quantized) * y_mask + y = self.encoder_ssl(y * y_mask, y_mask) + + y = self.mrte(y, y_mask, refer, refer_mask, ge) + + y = self.encoder2(y * y_mask, y_mask) + + stats = self.proj(y) * y_mask + m, logs = torch.split(stats, self.out_channels, dim=1) + return y, m, logs, y_mask, quantized + + +class ResidualCouplingBlock(nn.Module): + def __init__( + self, + channels, + hidden_channels, + kernel_size, + dilation_rate, + n_layers, + n_flows=4, + gin_channels=0, + ): + super().__init__() + self.channels = channels + self.hidden_channels = hidden_channels + self.kernel_size = kernel_size + self.dilation_rate = dilation_rate + self.n_layers = n_layers + self.n_flows = n_flows + self.gin_channels = gin_channels + + self.flows = nn.ModuleList() + for i in range(n_flows): + self.flows.append( + modules.ResidualCouplingLayer( + channels, + hidden_channels, + kernel_size, + dilation_rate, + n_layers, + gin_channels=gin_channels, + mean_only=True, + ) + ) + self.flows.append(modules.Flip()) + + def forward(self, x, x_mask, g=None, reverse=False): + if not reverse: + for flow in self.flows: + x, _ = flow(x, x_mask, g=g, reverse=reverse) + else: + for flow in reversed(self.flows): + x = flow(x, x_mask, g=g, reverse=reverse) + return x + + +class PosteriorEncoder(nn.Module): + def __init__( + self, + in_channels, + out_channels, + hidden_channels, + kernel_size, + dilation_rate, + n_layers, + gin_channels=0, + ): + super().__init__() + self.in_channels = in_channels + self.out_channels = out_channels + self.hidden_channels = hidden_channels + self.kernel_size = kernel_size + self.dilation_rate = dilation_rate + self.n_layers = n_layers + self.gin_channels = gin_channels + + self.pre = nn.Conv1d(in_channels, hidden_channels, 1) + self.enc = modules.WN( + hidden_channels, + kernel_size, + dilation_rate, + n_layers, + gin_channels=gin_channels, + ) + self.proj = nn.Conv1d(hidden_channels, out_channels * 2, 1) + + def forward(self, x, x_lengths, g=None): + if g != None: + g = g.detach() + x_mask = torch.unsqueeze(commons.sequence_mask(x_lengths, x.size(2)), 1).to( + x.dtype + ) + x = self.pre(x) * x_mask + x = self.enc(x, x_mask, g=g) + stats = self.proj(x) * x_mask + m, logs = torch.split(stats, self.out_channels, dim=1) + z = (m + torch.randn_like(m) * torch.exp(logs)) * x_mask + return z, m, logs, x_mask + + +class WNEncoder(nn.Module): + def __init__( + self, + in_channels, + out_channels, + hidden_channels, + kernel_size, + dilation_rate, + n_layers, + gin_channels=0, + ): + super().__init__() + self.in_channels = in_channels + self.out_channels = out_channels + self.hidden_channels = hidden_channels + self.kernel_size = kernel_size + self.dilation_rate = dilation_rate + self.n_layers = n_layers + self.gin_channels = gin_channels + + self.pre = nn.Conv1d(in_channels, hidden_channels, 1) + self.enc = modules.WN( + hidden_channels, + kernel_size, + dilation_rate, + n_layers, + gin_channels=gin_channels, + ) + self.proj = nn.Conv1d(hidden_channels, out_channels, 1) + self.norm = modules.LayerNorm(out_channels) + + def forward(self, x, x_lengths, g=None): + x_mask = torch.unsqueeze(commons.sequence_mask(x_lengths, x.size(2)), 1).to( + x.dtype + ) + x = self.pre(x) * x_mask + x = self.enc(x, x_mask, g=g) + out = self.proj(x) * x_mask + out = self.norm(out) + return out + + +class Generator(torch.nn.Module): + def __init__( + self, + initial_channel, + resblock, + resblock_kernel_sizes, + resblock_dilation_sizes, + upsample_rates, + upsample_initial_channel, + upsample_kernel_sizes, + gin_channels=0, + ): + super(Generator, self).__init__() + self.num_kernels = len(resblock_kernel_sizes) + self.num_upsamples = len(upsample_rates) + self.conv_pre = Conv1d( + initial_channel, upsample_initial_channel, 7, 1, padding=3 + ) + resblock = modules.ResBlock1 if resblock == "1" else modules.ResBlock2 + + self.ups = nn.ModuleList() + for i, (u, k) in enumerate(zip(upsample_rates, upsample_kernel_sizes)): + self.ups.append( + weight_norm( + ConvTranspose1d( + upsample_initial_channel // (2**i), + upsample_initial_channel // (2 ** (i + 1)), + k, + u, + padding=(k - u) // 2, + ) + ) + ) + + self.resblocks = nn.ModuleList() + for i in range(len(self.ups)): + ch = upsample_initial_channel // (2 ** (i + 1)) + for j, (k, d) in enumerate( + zip(resblock_kernel_sizes, resblock_dilation_sizes) + ): + self.resblocks.append(resblock(ch, k, d)) + + self.conv_post = Conv1d(ch, 1, 7, 1, padding=3, bias=False) + self.ups.apply(init_weights) + + if gin_channels != 0: + self.cond = nn.Conv1d(gin_channels, upsample_initial_channel, 1) + + def forward(self, x, g=None): + x = self.conv_pre(x) + if g is not None: + x = x + self.cond(g) + + for i in range(self.num_upsamples): + x = F.leaky_relu(x, modules.LRELU_SLOPE) + x = self.ups[i](x) + xs = None + for j in range(self.num_kernels): + if xs is None: + xs = self.resblocks[i * self.num_kernels + j](x) + else: + xs += self.resblocks[i * self.num_kernels + j](x) + x = xs / self.num_kernels + x = F.leaky_relu(x) + x = self.conv_post(x) + x = torch.tanh(x) + + return x + + def remove_weight_norm(self): + print("Removing weight norm...") + for l in self.ups: + remove_weight_norm(l) + for l in self.resblocks: + l.remove_weight_norm() + + +class DiscriminatorP(torch.nn.Module): + def __init__(self, period, kernel_size=5, stride=3, use_spectral_norm=False): + super(DiscriminatorP, self).__init__() + self.period = period + self.use_spectral_norm = use_spectral_norm + norm_f = weight_norm if use_spectral_norm == False else spectral_norm + self.convs = nn.ModuleList( + [ + norm_f( + Conv2d( + 1, + 32, + (kernel_size, 1), + (stride, 1), + padding=(get_padding(kernel_size, 1), 0), + ) + ), + norm_f( + Conv2d( + 32, + 128, + (kernel_size, 1), + (stride, 1), + padding=(get_padding(kernel_size, 1), 0), + ) + ), + norm_f( + Conv2d( + 128, + 512, + (kernel_size, 1), + (stride, 1), + padding=(get_padding(kernel_size, 1), 0), + ) + ), + norm_f( + Conv2d( + 512, + 1024, + (kernel_size, 1), + (stride, 1), + padding=(get_padding(kernel_size, 1), 0), + ) + ), + norm_f( + Conv2d( + 1024, + 1024, + (kernel_size, 1), + 1, + padding=(get_padding(kernel_size, 1), 0), + ) + ), + ] + ) + self.conv_post = norm_f(Conv2d(1024, 1, (3, 1), 1, padding=(1, 0))) + + def forward(self, x): + fmap = [] + + # 1d to 2d + b, c, t = x.shape + if t % self.period != 0: # pad first + n_pad = self.period - (t % self.period) + x = F.pad(x, (0, n_pad), "reflect") + t = t + n_pad + x = x.view(b, c, t // self.period, self.period) + + for l in self.convs: + x = l(x) + x = F.leaky_relu(x, modules.LRELU_SLOPE) + fmap.append(x) + x = self.conv_post(x) + fmap.append(x) + x = torch.flatten(x, 1, -1) + + return x, fmap + + +class DiscriminatorS(torch.nn.Module): + def __init__(self, use_spectral_norm=False): + super(DiscriminatorS, self).__init__() + norm_f = weight_norm if use_spectral_norm == False else spectral_norm + self.convs = nn.ModuleList( + [ + norm_f(Conv1d(1, 16, 15, 1, padding=7)), + norm_f(Conv1d(16, 64, 41, 4, groups=4, padding=20)), + norm_f(Conv1d(64, 256, 41, 4, groups=16, padding=20)), + norm_f(Conv1d(256, 1024, 41, 4, groups=64, padding=20)), + norm_f(Conv1d(1024, 1024, 41, 4, groups=256, padding=20)), + norm_f(Conv1d(1024, 1024, 5, 1, padding=2)), + ] + ) + self.conv_post = norm_f(Conv1d(1024, 1, 3, 1, padding=1)) + + def forward(self, x): + fmap = [] + + for l in self.convs: + x = l(x) + x = F.leaky_relu(x, modules.LRELU_SLOPE) + fmap.append(x) + x = self.conv_post(x) + fmap.append(x) + x = torch.flatten(x, 1, -1) + + return x, fmap + + +class MultiPeriodDiscriminator(torch.nn.Module): + def __init__(self, use_spectral_norm=False): + super(MultiPeriodDiscriminator, self).__init__() + periods = [2, 3, 5, 7, 11] + + discs = [DiscriminatorS(use_spectral_norm=use_spectral_norm)] + discs = discs + [ + DiscriminatorP(i, use_spectral_norm=use_spectral_norm) for i in periods + ] + self.discriminators = nn.ModuleList(discs) + + def forward(self, y, y_hat): + y_d_rs = [] + y_d_gs = [] + fmap_rs = [] + fmap_gs = [] + for i, d in enumerate(self.discriminators): + y_d_r, fmap_r = d(y) + y_d_g, fmap_g = d(y_hat) + y_d_rs.append(y_d_r) + y_d_gs.append(y_d_g) + fmap_rs.append(fmap_r) + fmap_gs.append(fmap_g) + + return y_d_rs, y_d_gs, fmap_rs, fmap_gs + + +class ReferenceEncoder(nn.Module): + """ + inputs --- [N, Ty/r, n_mels*r] mels + outputs --- [N, ref_enc_gru_size] + """ + + def __init__(self, spec_channels, gin_channels=0): + super().__init__() + self.spec_channels = spec_channels + ref_enc_filters = [32, 32, 64, 64, 128, 128] + K = len(ref_enc_filters) + filters = [1] + ref_enc_filters + convs = [ + weight_norm( + nn.Conv2d( + in_channels=filters[i], + out_channels=filters[i + 1], + kernel_size=(3, 3), + stride=(2, 2), + padding=(1, 1), + ) + ) + for i in range(K) + ] + self.convs = nn.ModuleList(convs) + # self.wns = nn.ModuleList([weight_norm(num_features=ref_enc_filters[i]) for i in range(K)]) + + out_channels = self.calculate_channels(spec_channels, 3, 2, 1, K) + self.gru = nn.GRU( + input_size=ref_enc_filters[-1] * out_channels, + hidden_size=256 // 2, + batch_first=True, + ) + self.proj = nn.Linear(128, gin_channels) + + def forward(self, inputs): + N = inputs.size(0) + out = inputs.view(N, 1, -1, self.spec_channels) # [N, 1, Ty, n_freqs] + for conv in self.convs: + out = conv(out) + # out = wn(out) + out = F.relu(out) # [N, 128, Ty//2^K, n_mels//2^K] + + out = out.transpose(1, 2) # [N, Ty//2^K, 128, n_mels//2^K] + T = out.size(1) + N = out.size(0) + out = out.contiguous().view(N, T, -1) # [N, Ty//2^K, 128*n_mels//2^K] + + self.gru.flatten_parameters() + memory, out = self.gru(out) # out --- [1, N, 128] + + return self.proj(out.squeeze(0)).unsqueeze(-1) + + def calculate_channels(self, L, kernel_size, stride, pad, n_convs): + for i in range(n_convs): + L = (L - kernel_size + 2 * pad) // stride + 1 + return L + + +class Quantizer_module(torch.nn.Module): + def __init__(self, n_e, e_dim): + super(Quantizer_module, self).__init__() + self.embedding = nn.Embedding(n_e, e_dim) + self.embedding.weight.data.uniform_(-1.0 / n_e, 1.0 / n_e) + + def forward(self, x): + d = ( + torch.sum(x**2, 1, keepdim=True) + + torch.sum(self.embedding.weight**2, 1) + - 2 * torch.matmul(x, self.embedding.weight.T) + ) + min_indicies = torch.argmin(d, 1) + z_q = self.embedding(min_indicies) + return z_q, min_indicies + + +class Quantizer(torch.nn.Module): + def __init__(self, embed_dim=512, n_code_groups=4, n_codes=160): + super(Quantizer, self).__init__() + assert embed_dim % n_code_groups == 0 + self.quantizer_modules = nn.ModuleList( + [ + Quantizer_module(n_codes, embed_dim // n_code_groups) + for _ in range(n_code_groups) + ] + ) + self.n_code_groups = n_code_groups + self.embed_dim = embed_dim + + def forward(self, xin): + # B, C, T + B, C, T = xin.shape + xin = xin.transpose(1, 2) + x = xin.reshape(-1, self.embed_dim) + x = torch.split(x, self.embed_dim // self.n_code_groups, dim=-1) + min_indicies = [] + z_q = [] + for _x, m in zip(x, self.quantizer_modules): + _z_q, _min_indicies = m(_x) + z_q.append(_z_q) + min_indicies.append(_min_indicies) # B * T, + z_q = torch.cat(z_q, -1).reshape(xin.shape) + loss = 0.25 * torch.mean((z_q.detach() - xin) ** 2) + torch.mean( + (z_q - xin.detach()) ** 2 + ) + z_q = xin + (z_q - xin).detach() + z_q = z_q.transpose(1, 2) + codes = torch.stack(min_indicies, -1).reshape(B, T, self.n_code_groups) + return z_q, loss, codes.transpose(1, 2) + + def embed(self, x): + # idx: N, 4, T + x = x.transpose(1, 2) + x = torch.split(x, 1, 2) + ret = [] + for q, embed in zip(x, self.quantizer_modules): + q = embed.embedding(q.squeeze(-1)) + ret.append(q) + ret = torch.cat(ret, -1) + return ret.transpose(1, 2) # N, C, T + + +class CodePredictor(nn.Module): + def __init__( + self, + hidden_channels, + filter_channels, + n_heads, + n_layers, + kernel_size, + p_dropout, + n_q=8, + dims=1024, + ssl_dim=768, + ): + super().__init__() + self.hidden_channels = hidden_channels + self.filter_channels = filter_channels + self.n_heads = n_heads + self.n_layers = n_layers + self.kernel_size = kernel_size + self.p_dropout = p_dropout + + self.vq_proj = nn.Conv1d(ssl_dim, hidden_channels, 1) + self.ref_enc = modules.MelStyleEncoder( + ssl_dim, style_vector_dim=hidden_channels + ) + + self.encoder = attentions.Encoder( + hidden_channels, filter_channels, n_heads, n_layers, kernel_size, p_dropout + ) + + self.out_proj = nn.Conv1d(hidden_channels, (n_q - 1) * dims, 1) + self.n_q = n_q + self.dims = dims + + def forward(self, x, x_mask, refer, codes, infer=False): + x = x.detach() + x = self.vq_proj(x * x_mask) * x_mask + g = self.ref_enc(refer, x_mask) + x = x + g + x = self.encoder(x * x_mask, x_mask) + x = self.out_proj(x * x_mask) * x_mask + logits = x.reshape(x.shape[0], self.n_q - 1, self.dims, x.shape[-1]).transpose( + 2, 3 + ) + target = codes[1:].transpose(0, 1) + if not infer: + logits = logits.reshape(-1, self.dims) + target = target.reshape(-1) + loss = torch.nn.functional.cross_entropy(logits, target) + return loss + else: + _, top10_preds = torch.topk(logits, 10, dim=-1) + correct_top10 = torch.any(top10_preds == target.unsqueeze(-1), dim=-1) + top3_acc = 100 * torch.mean(correct_top10.float()).detach().cpu().item() + + print("Top-10 Accuracy:", top3_acc, "%") + + pred_codes = torch.argmax(logits, dim=-1) + acc = 100 * torch.mean((pred_codes == target).float()).detach().cpu().item() + print("Top-1 Accuracy:", acc, "%") + + return pred_codes.transpose(0, 1) + + +class SynthesizerTrn(nn.Module): + """ + Synthesizer for Training + """ + + def __init__( + self, + spec_channels, + segment_size, + inter_channels, + hidden_channels, + filter_channels, + n_heads, + n_layers, + kernel_size, + p_dropout, + resblock, + resblock_kernel_sizes, + resblock_dilation_sizes, + upsample_rates, + upsample_initial_channel, + upsample_kernel_sizes, + n_speakers=0, + gin_channels=0, + use_sdp=True, + semantic_frame_rate=None, + freeze_quantizer=None, + **kwargs + ): + super().__init__() + self.spec_channels = spec_channels + self.inter_channels = inter_channels + self.hidden_channels = hidden_channels + self.filter_channels = filter_channels + self.n_heads = n_heads + self.n_layers = n_layers + self.kernel_size = kernel_size + self.p_dropout = p_dropout + self.resblock = resblock + self.resblock_kernel_sizes = resblock_kernel_sizes + self.resblock_dilation_sizes = resblock_dilation_sizes + self.upsample_rates = upsample_rates + self.upsample_initial_channel = upsample_initial_channel + self.upsample_kernel_sizes = upsample_kernel_sizes + self.segment_size = segment_size + self.n_speakers = n_speakers + self.gin_channels = gin_channels + + self.use_sdp = use_sdp + self.enc_p = TextEncoder( + inter_channels, + hidden_channels, + filter_channels, + n_heads, + n_layers, + kernel_size, + p_dropout, + ) + self.dec = Generator( + inter_channels, + resblock, + resblock_kernel_sizes, + resblock_dilation_sizes, + upsample_rates, + upsample_initial_channel, + upsample_kernel_sizes, + gin_channels=gin_channels, + ) + self.enc_q = PosteriorEncoder( + spec_channels, + inter_channels, + hidden_channels, + 5, + 1, + 16, + gin_channels=gin_channels, + ) + self.flow = ResidualCouplingBlock( + inter_channels, hidden_channels, 5, 1, 4, gin_channels=gin_channels + ) + + self.ref_enc = modules.MelStyleEncoder( + spec_channels, style_vector_dim=gin_channels + ) + + ssl_dim = 768 + assert semantic_frame_rate in ["25hz", "50hz"] + self.semantic_frame_rate = semantic_frame_rate + if semantic_frame_rate == "25hz": + self.ssl_proj = nn.Conv1d(ssl_dim, ssl_dim, 2, stride=2) + else: + self.ssl_proj = nn.Conv1d(ssl_dim, ssl_dim, 1, stride=1) + + self.quantizer = ResidualVectorQuantizer(dimension=ssl_dim, n_q=1, bins=1024) + if freeze_quantizer: + self.ssl_proj.requires_grad_(False) + self.quantizer.requires_grad_(False) + # self.enc_p.text_embedding.requires_grad_(False) + # self.enc_p.encoder_text.requires_grad_(False) + # self.enc_p.mrte.requires_grad_(False) + + def forward(self, ssl, y, y_lengths, text, text_lengths): + y_mask = torch.unsqueeze(commons.sequence_mask(y_lengths, y.size(2)), 1).to( + y.dtype + ) + ge = self.ref_enc(y * y_mask, y_mask) + + with autocast(enabled=False): + ssl = self.ssl_proj(ssl) + quantized, codes, commit_loss, quantized_list = self.quantizer( + ssl, layers=[0] + ) + + if self.semantic_frame_rate == "25hz": + quantized = F.interpolate( + quantized, size=int(quantized.shape[-1] * 2), mode="nearest" + ) + + x, m_p, logs_p, y_mask = self.enc_p( + quantized, y_lengths, text, text_lengths, ge + ) + z, m_q, logs_q, y_mask = self.enc_q(y, y_lengths, g=ge) + z_p = self.flow(z, y_mask, g=ge) + + z_slice, ids_slice = commons.rand_slice_segments( + z, y_lengths, self.segment_size + ) + o = self.dec(z_slice, g=ge) + return ( + o, + commit_loss, + ids_slice, + y_mask, + y_mask, + (z, z_p, m_p, logs_p, m_q, logs_q), + quantized, + ) + + def infer(self, ssl, y, y_lengths, text, text_lengths, test=None, noise_scale=0.5): + y_mask = torch.unsqueeze(commons.sequence_mask(y_lengths, y.size(2)), 1).to( + y.dtype + ) + ge = self.ref_enc(y * y_mask, y_mask) + + ssl = self.ssl_proj(ssl) + quantized, codes, commit_loss, _ = self.quantizer(ssl, layers=[0]) + if self.semantic_frame_rate == "25hz": + quantized = F.interpolate( + quantized, size=int(quantized.shape[-1] * 2), mode="nearest" + ) + + x, m_p, logs_p, y_mask = self.enc_p( + quantized, y_lengths, text, text_lengths, ge, test=test + ) + z_p = m_p + torch.randn_like(m_p) * torch.exp(logs_p) * noise_scale + + z = self.flow(z_p, y_mask, g=ge, reverse=True) + + o = self.dec((z * y_mask)[:, :, :], g=ge) + return o, y_mask, (z, z_p, m_p, logs_p) + + @torch.no_grad() + def decode(self, codes, text, refer, noise_scale=0.5): + refer_lengths = torch.LongTensor([refer.size(2)]).to(refer.device) + refer_mask = torch.unsqueeze( + commons.sequence_mask(refer_lengths, refer.size(2)), 1 + ).to(refer.dtype) + ge = self.ref_enc(refer * refer_mask, refer_mask) + + y_lengths = torch.LongTensor([codes.size(2) * 2]).to(codes.device) + text_lengths = torch.LongTensor([text.size(-1)]).to(text.device) + + quantized = self.quantizer.decode(codes) + if self.semantic_frame_rate == "25hz": + quantized = F.interpolate( + quantized, size=int(quantized.shape[-1] * 2), mode="nearest" + ) + + x, m_p, logs_p, y_mask = self.enc_p( + quantized, y_lengths, text, text_lengths, ge + ) + z_p = m_p + torch.randn_like(m_p) * torch.exp(logs_p) * noise_scale + + z = self.flow(z_p, y_mask, g=ge, reverse=True) + + o = self.dec((z * y_mask)[:, :, :], g=ge) + return o + + def extract_latent(self, x): + ssl = self.ssl_proj(x) + quantized, codes, commit_loss, quantized_list = self.quantizer(ssl) + return codes.transpose(0, 1) diff --git a/GPT_SoVITS/module/models_onnx.py b/GPT_SoVITS/module/models_onnx.py new file mode 100644 index 0000000000000000000000000000000000000000..b97a7544c4d613ad040c830c72118eeab868e350 --- /dev/null +++ b/GPT_SoVITS/module/models_onnx.py @@ -0,0 +1,920 @@ +import copy +import math +import torch +from torch import nn +from torch.nn import functional as F + +from module import commons +from module import modules +from module import attentions_onnx as attentions + +from torch.nn import Conv1d, ConvTranspose1d, AvgPool1d, Conv2d +from torch.nn.utils import weight_norm, remove_weight_norm, spectral_norm +from module.commons import init_weights, get_padding +from module.mrte_model import MRTE +from module.quantize import ResidualVectorQuantizer +from text.symbols import symbols +from torch.cuda.amp import autocast + + +class StochasticDurationPredictor(nn.Module): + def __init__( + self, + in_channels, + filter_channels, + kernel_size, + p_dropout, + n_flows=4, + gin_channels=0, + ): + super().__init__() + filter_channels = in_channels # it needs to be removed from future version. + self.in_channels = in_channels + self.filter_channels = filter_channels + self.kernel_size = kernel_size + self.p_dropout = p_dropout + self.n_flows = n_flows + self.gin_channels = gin_channels + + self.log_flow = modules.Log() + self.flows = nn.ModuleList() + self.flows.append(modules.ElementwiseAffine(2)) + for i in range(n_flows): + self.flows.append( + modules.ConvFlow(2, filter_channels, kernel_size, n_layers=3) + ) + self.flows.append(modules.Flip()) + + self.post_pre = nn.Conv1d(1, filter_channels, 1) + self.post_proj = nn.Conv1d(filter_channels, filter_channels, 1) + self.post_convs = modules.DDSConv( + filter_channels, kernel_size, n_layers=3, p_dropout=p_dropout + ) + self.post_flows = nn.ModuleList() + self.post_flows.append(modules.ElementwiseAffine(2)) + for i in range(4): + self.post_flows.append( + modules.ConvFlow(2, filter_channels, kernel_size, n_layers=3) + ) + self.post_flows.append(modules.Flip()) + + self.pre = nn.Conv1d(in_channels, filter_channels, 1) + self.proj = nn.Conv1d(filter_channels, filter_channels, 1) + self.convs = modules.DDSConv( + filter_channels, kernel_size, n_layers=3, p_dropout=p_dropout + ) + if gin_channels != 0: + self.cond = nn.Conv1d(gin_channels, filter_channels, 1) + + def forward(self, x, x_mask, w=None, g=None, reverse=False, noise_scale=1.0): + x = torch.detach(x) + x = self.pre(x) + if g is not None: + g = torch.detach(g) + x = x + self.cond(g) + x = self.convs(x, x_mask) + x = self.proj(x) * x_mask + + if not reverse: + flows = self.flows + assert w is not None + + logdet_tot_q = 0 + h_w = self.post_pre(w) + h_w = self.post_convs(h_w, x_mask) + h_w = self.post_proj(h_w) * x_mask + e_q = ( + torch.randn(w.size(0), 2, w.size(2)).to(device=x.device, dtype=x.dtype) + * x_mask + ) + z_q = e_q + for flow in self.post_flows: + z_q, logdet_q = flow(z_q, x_mask, g=(x + h_w)) + logdet_tot_q += logdet_q + z_u, z1 = torch.split(z_q, [1, 1], 1) + u = torch.sigmoid(z_u) * x_mask + z0 = (w - u) * x_mask + logdet_tot_q += torch.sum( + (F.logsigmoid(z_u) + F.logsigmoid(-z_u)) * x_mask, [1, 2] + ) + logq = ( + torch.sum(-0.5 * (math.log(2 * math.pi) + (e_q**2)) * x_mask, [1, 2]) + - logdet_tot_q + ) + + logdet_tot = 0 + z0, logdet = self.log_flow(z0, x_mask) + logdet_tot += logdet + z = torch.cat([z0, z1], 1) + for flow in flows: + z, logdet = flow(z, x_mask, g=x, reverse=reverse) + logdet_tot = logdet_tot + logdet + nll = ( + torch.sum(0.5 * (math.log(2 * math.pi) + (z**2)) * x_mask, [1, 2]) + - logdet_tot + ) + return nll + logq # [b] + else: + flows = list(reversed(self.flows)) + flows = flows[:-2] + [flows[-1]] # remove a useless vflow + z = ( + torch.randn(x.size(0), 2, x.size(2)).to(device=x.device, dtype=x.dtype) + * noise_scale + ) + for flow in flows: + z = flow(z, x_mask, g=x, reverse=reverse) + z0, z1 = torch.split(z, [1, 1], 1) + logw = z0 + return logw + + +class DurationPredictor(nn.Module): + def __init__( + self, in_channels, filter_channels, kernel_size, p_dropout, gin_channels=0 + ): + super().__init__() + + self.in_channels = in_channels + self.filter_channels = filter_channels + self.kernel_size = kernel_size + self.p_dropout = p_dropout + self.gin_channels = gin_channels + + self.drop = nn.Dropout(p_dropout) + self.conv_1 = nn.Conv1d( + in_channels, filter_channels, kernel_size, padding=kernel_size // 2 + ) + self.norm_1 = modules.LayerNorm(filter_channels) + self.conv_2 = nn.Conv1d( + filter_channels, filter_channels, kernel_size, padding=kernel_size // 2 + ) + self.norm_2 = modules.LayerNorm(filter_channels) + self.proj = nn.Conv1d(filter_channels, 1, 1) + + if gin_channels != 0: + self.cond = nn.Conv1d(gin_channels, in_channels, 1) + + def forward(self, x, x_mask, g=None): + x = torch.detach(x) + if g is not None: + g = torch.detach(g) + x = x + self.cond(g) + x = self.conv_1(x * x_mask) + x = torch.relu(x) + x = self.norm_1(x) + x = self.drop(x) + x = self.conv_2(x * x_mask) + x = torch.relu(x) + x = self.norm_2(x) + x = self.drop(x) + x = self.proj(x * x_mask) + return x * x_mask + + +class TextEncoder(nn.Module): + def __init__( + self, + out_channels, + hidden_channels, + filter_channels, + n_heads, + n_layers, + kernel_size, + p_dropout, + latent_channels=192, + ): + super().__init__() + self.out_channels = out_channels + self.hidden_channels = hidden_channels + self.filter_channels = filter_channels + self.n_heads = n_heads + self.n_layers = n_layers + self.kernel_size = kernel_size + self.p_dropout = p_dropout + self.latent_channels = latent_channels + + self.ssl_proj = nn.Conv1d(768, hidden_channels, 1) + + self.encoder_ssl = attentions.Encoder( + hidden_channels, + filter_channels, + n_heads, + n_layers // 2, + kernel_size, + p_dropout, + ) + + self.encoder_text = attentions.Encoder( + hidden_channels, filter_channels, n_heads, n_layers, kernel_size, p_dropout + ) + self.text_embedding = nn.Embedding(len(symbols), hidden_channels) + + self.mrte = MRTE() + + self.encoder2 = attentions.Encoder( + hidden_channels, + filter_channels, + n_heads, + n_layers // 2, + kernel_size, + p_dropout, + ) + + self.proj = nn.Conv1d(hidden_channels, out_channels * 2, 1) + + def forward(self, y, text, ge): + y_mask = torch.ones_like(y[:1,:1,:]) + + y = self.ssl_proj(y * y_mask) * y_mask + y = self.encoder_ssl(y * y_mask, y_mask) + + text_mask = torch.ones_like(text).to(y.dtype).unsqueeze(0) + + text = self.text_embedding(text).transpose(1, 2) + text = self.encoder_text(text * text_mask, text_mask) + y = self.mrte(y, y_mask, text, text_mask, ge) + + y = self.encoder2(y * y_mask, y_mask) + + stats = self.proj(y) * y_mask + m, logs = torch.split(stats, self.out_channels, dim=1) + return y, m, logs, y_mask + + def extract_latent(self, x): + x = self.ssl_proj(x) + quantized, codes, commit_loss, quantized_list = self.quantizer(x) + return codes.transpose(0, 1) + + def decode_latent(self, codes, y_mask, refer, refer_mask, ge): + quantized = self.quantizer.decode(codes) + + y = self.vq_proj(quantized) * y_mask + y = self.encoder_ssl(y * y_mask, y_mask) + + y = self.mrte(y, y_mask, refer, refer_mask, ge) + + y = self.encoder2(y * y_mask, y_mask) + + stats = self.proj(y) * y_mask + m, logs = torch.split(stats, self.out_channels, dim=1) + return y, m, logs, y_mask, quantized + + +class ResidualCouplingBlock(nn.Module): + def __init__( + self, + channels, + hidden_channels, + kernel_size, + dilation_rate, + n_layers, + n_flows=4, + gin_channels=0, + ): + super().__init__() + self.channels = channels + self.hidden_channels = hidden_channels + self.kernel_size = kernel_size + self.dilation_rate = dilation_rate + self.n_layers = n_layers + self.n_flows = n_flows + self.gin_channels = gin_channels + + self.flows = nn.ModuleList() + for i in range(n_flows): + self.flows.append( + modules.ResidualCouplingLayer( + channels, + hidden_channels, + kernel_size, + dilation_rate, + n_layers, + gin_channels=gin_channels, + mean_only=True, + ) + ) + self.flows.append(modules.Flip()) + + def forward(self, x, x_mask, g=None, reverse=False): + if not reverse: + for flow in self.flows: + x, _ = flow(x, x_mask, g=g, reverse=reverse) + else: + for flow in reversed(self.flows): + x = flow(x, x_mask, g=g, reverse=reverse) + return x + + +class PosteriorEncoder(nn.Module): + def __init__( + self, + in_channels, + out_channels, + hidden_channels, + kernel_size, + dilation_rate, + n_layers, + gin_channels=0, + ): + super().__init__() + self.in_channels = in_channels + self.out_channels = out_channels + self.hidden_channels = hidden_channels + self.kernel_size = kernel_size + self.dilation_rate = dilation_rate + self.n_layers = n_layers + self.gin_channels = gin_channels + + self.pre = nn.Conv1d(in_channels, hidden_channels, 1) + self.enc = modules.WN( + hidden_channels, + kernel_size, + dilation_rate, + n_layers, + gin_channels=gin_channels, + ) + self.proj = nn.Conv1d(hidden_channels, out_channels * 2, 1) + + def forward(self, x, x_lengths, g=None): + if g != None: + g = g.detach() + x_mask = torch.unsqueeze(commons.sequence_mask(x_lengths, x.size(2)), 1).to( + x.dtype + ) + x = self.pre(x) * x_mask + x = self.enc(x, x_mask, g=g) + stats = self.proj(x) * x_mask + m, logs = torch.split(stats, self.out_channels, dim=1) + z = (m + torch.randn_like(m) * torch.exp(logs)) * x_mask + return z, m, logs, x_mask + + +class WNEncoder(nn.Module): + def __init__( + self, + in_channels, + out_channels, + hidden_channels, + kernel_size, + dilation_rate, + n_layers, + gin_channels=0, + ): + super().__init__() + self.in_channels = in_channels + self.out_channels = out_channels + self.hidden_channels = hidden_channels + self.kernel_size = kernel_size + self.dilation_rate = dilation_rate + self.n_layers = n_layers + self.gin_channels = gin_channels + + self.pre = nn.Conv1d(in_channels, hidden_channels, 1) + self.enc = modules.WN( + hidden_channels, + kernel_size, + dilation_rate, + n_layers, + gin_channels=gin_channels, + ) + self.proj = nn.Conv1d(hidden_channels, out_channels, 1) + self.norm = modules.LayerNorm(out_channels) + + def forward(self, x, x_lengths, g=None): + x_mask = torch.unsqueeze(commons.sequence_mask(x_lengths, x.size(2)), 1).to( + x.dtype + ) + x = self.pre(x) * x_mask + x = self.enc(x, x_mask, g=g) + out = self.proj(x) * x_mask + out = self.norm(out) + return out + + +class Generator(torch.nn.Module): + def __init__( + self, + initial_channel, + resblock, + resblock_kernel_sizes, + resblock_dilation_sizes, + upsample_rates, + upsample_initial_channel, + upsample_kernel_sizes, + gin_channels=0, + ): + super(Generator, self).__init__() + self.num_kernels = len(resblock_kernel_sizes) + self.num_upsamples = len(upsample_rates) + self.conv_pre = Conv1d( + initial_channel, upsample_initial_channel, 7, 1, padding=3 + ) + resblock = modules.ResBlock1 if resblock == "1" else modules.ResBlock2 + + self.ups = nn.ModuleList() + for i, (u, k) in enumerate(zip(upsample_rates, upsample_kernel_sizes)): + self.ups.append( + weight_norm( + ConvTranspose1d( + upsample_initial_channel // (2**i), + upsample_initial_channel // (2 ** (i + 1)), + k, + u, + padding=(k - u) // 2, + ) + ) + ) + + self.resblocks = nn.ModuleList() + for i in range(len(self.ups)): + ch = upsample_initial_channel // (2 ** (i + 1)) + for j, (k, d) in enumerate( + zip(resblock_kernel_sizes, resblock_dilation_sizes) + ): + self.resblocks.append(resblock(ch, k, d)) + + self.conv_post = Conv1d(ch, 1, 7, 1, padding=3, bias=False) + self.ups.apply(init_weights) + + if gin_channels != 0: + self.cond = nn.Conv1d(gin_channels, upsample_initial_channel, 1) + + def forward(self, x, g=None): + x = self.conv_pre(x) + if g is not None: + x = x + self.cond(g) + + for i in range(self.num_upsamples): + x = F.leaky_relu(x, modules.LRELU_SLOPE) + x = self.ups[i](x) + xs = None + for j in range(self.num_kernels): + if xs is None: + xs = self.resblocks[i * self.num_kernels + j](x) + else: + xs += self.resblocks[i * self.num_kernels + j](x) + x = xs / self.num_kernels + x = F.leaky_relu(x) + x = self.conv_post(x) + x = torch.tanh(x) + + return x + + def remove_weight_norm(self): + print("Removing weight norm...") + for l in self.ups: + remove_weight_norm(l) + for l in self.resblocks: + l.remove_weight_norm() + + +class DiscriminatorP(torch.nn.Module): + def __init__(self, period, kernel_size=5, stride=3, use_spectral_norm=False): + super(DiscriminatorP, self).__init__() + self.period = period + self.use_spectral_norm = use_spectral_norm + norm_f = weight_norm if use_spectral_norm == False else spectral_norm + self.convs = nn.ModuleList( + [ + norm_f( + Conv2d( + 1, + 32, + (kernel_size, 1), + (stride, 1), + padding=(get_padding(kernel_size, 1), 0), + ) + ), + norm_f( + Conv2d( + 32, + 128, + (kernel_size, 1), + (stride, 1), + padding=(get_padding(kernel_size, 1), 0), + ) + ), + norm_f( + Conv2d( + 128, + 512, + (kernel_size, 1), + (stride, 1), + padding=(get_padding(kernel_size, 1), 0), + ) + ), + norm_f( + Conv2d( + 512, + 1024, + (kernel_size, 1), + (stride, 1), + padding=(get_padding(kernel_size, 1), 0), + ) + ), + norm_f( + Conv2d( + 1024, + 1024, + (kernel_size, 1), + 1, + padding=(get_padding(kernel_size, 1), 0), + ) + ), + ] + ) + self.conv_post = norm_f(Conv2d(1024, 1, (3, 1), 1, padding=(1, 0))) + + def forward(self, x): + fmap = [] + + # 1d to 2d + b, c, t = x.shape + if t % self.period != 0: # pad first + n_pad = self.period - (t % self.period) + x = F.pad(x, (0, n_pad), "reflect") + t = t + n_pad + x = x.view(b, c, t // self.period, self.period) + + for l in self.convs: + x = l(x) + x = F.leaky_relu(x, modules.LRELU_SLOPE) + fmap.append(x) + x = self.conv_post(x) + fmap.append(x) + x = torch.flatten(x, 1, -1) + + return x, fmap + + +class DiscriminatorS(torch.nn.Module): + def __init__(self, use_spectral_norm=False): + super(DiscriminatorS, self).__init__() + norm_f = weight_norm if use_spectral_norm == False else spectral_norm + self.convs = nn.ModuleList( + [ + norm_f(Conv1d(1, 16, 15, 1, padding=7)), + norm_f(Conv1d(16, 64, 41, 4, groups=4, padding=20)), + norm_f(Conv1d(64, 256, 41, 4, groups=16, padding=20)), + norm_f(Conv1d(256, 1024, 41, 4, groups=64, padding=20)), + norm_f(Conv1d(1024, 1024, 41, 4, groups=256, padding=20)), + norm_f(Conv1d(1024, 1024, 5, 1, padding=2)), + ] + ) + self.conv_post = norm_f(Conv1d(1024, 1, 3, 1, padding=1)) + + def forward(self, x): + fmap = [] + + for l in self.convs: + x = l(x) + x = F.leaky_relu(x, modules.LRELU_SLOPE) + fmap.append(x) + x = self.conv_post(x) + fmap.append(x) + x = torch.flatten(x, 1, -1) + + return x, fmap + + +class MultiPeriodDiscriminator(torch.nn.Module): + def __init__(self, use_spectral_norm=False): + super(MultiPeriodDiscriminator, self).__init__() + periods = [2, 3, 5, 7, 11] + + discs = [DiscriminatorS(use_spectral_norm=use_spectral_norm)] + discs = discs + [ + DiscriminatorP(i, use_spectral_norm=use_spectral_norm) for i in periods + ] + self.discriminators = nn.ModuleList(discs) + + def forward(self, y, y_hat): + y_d_rs = [] + y_d_gs = [] + fmap_rs = [] + fmap_gs = [] + for i, d in enumerate(self.discriminators): + y_d_r, fmap_r = d(y) + y_d_g, fmap_g = d(y_hat) + y_d_rs.append(y_d_r) + y_d_gs.append(y_d_g) + fmap_rs.append(fmap_r) + fmap_gs.append(fmap_g) + + return y_d_rs, y_d_gs, fmap_rs, fmap_gs + + +class ReferenceEncoder(nn.Module): + """ + inputs --- [N, Ty/r, n_mels*r] mels + outputs --- [N, ref_enc_gru_size] + """ + + def __init__(self, spec_channels, gin_channels=0): + super().__init__() + self.spec_channels = spec_channels + ref_enc_filters = [32, 32, 64, 64, 128, 128] + K = len(ref_enc_filters) + filters = [1] + ref_enc_filters + convs = [ + weight_norm( + nn.Conv2d( + in_channels=filters[i], + out_channels=filters[i + 1], + kernel_size=(3, 3), + stride=(2, 2), + padding=(1, 1), + ) + ) + for i in range(K) + ] + self.convs = nn.ModuleList(convs) + # self.wns = nn.ModuleList([weight_norm(num_features=ref_enc_filters[i]) for i in range(K)]) + + out_channels = self.calculate_channels(spec_channels, 3, 2, 1, K) + self.gru = nn.GRU( + input_size=ref_enc_filters[-1] * out_channels, + hidden_size=256 // 2, + batch_first=True, + ) + self.proj = nn.Linear(128, gin_channels) + + def forward(self, inputs): + N = inputs.size(0) + out = inputs.view(N, 1, -1, self.spec_channels) # [N, 1, Ty, n_freqs] + for conv in self.convs: + out = conv(out) + # out = wn(out) + out = F.relu(out) # [N, 128, Ty//2^K, n_mels//2^K] + + out = out.transpose(1, 2) # [N, Ty//2^K, 128, n_mels//2^K] + T = out.size(1) + N = out.size(0) + out = out.contiguous().view(N, T, -1) # [N, Ty//2^K, 128*n_mels//2^K] + + self.gru.flatten_parameters() + memory, out = self.gru(out) # out --- [1, N, 128] + + return self.proj(out.squeeze(0)).unsqueeze(-1) + + def calculate_channels(self, L, kernel_size, stride, pad, n_convs): + for i in range(n_convs): + L = (L - kernel_size + 2 * pad) // stride + 1 + return L + + +class Quantizer_module(torch.nn.Module): + def __init__(self, n_e, e_dim): + super(Quantizer_module, self).__init__() + self.embedding = nn.Embedding(n_e, e_dim) + self.embedding.weight.data.uniform_(-1.0 / n_e, 1.0 / n_e) + + def forward(self, x): + d = ( + torch.sum(x**2, 1, keepdim=True) + + torch.sum(self.embedding.weight**2, 1) + - 2 * torch.matmul(x, self.embedding.weight.T) + ) + min_indicies = torch.argmin(d, 1) + z_q = self.embedding(min_indicies) + return z_q, min_indicies + + +class Quantizer(torch.nn.Module): + def __init__(self, embed_dim=512, n_code_groups=4, n_codes=160): + super(Quantizer, self).__init__() + assert embed_dim % n_code_groups == 0 + self.quantizer_modules = nn.ModuleList( + [ + Quantizer_module(n_codes, embed_dim // n_code_groups) + for _ in range(n_code_groups) + ] + ) + self.n_code_groups = n_code_groups + self.embed_dim = embed_dim + + def forward(self, xin): + # B, C, T + B, C, T = xin.shape + xin = xin.transpose(1, 2) + x = xin.reshape(-1, self.embed_dim) + x = torch.split(x, self.embed_dim // self.n_code_groups, dim=-1) + min_indicies = [] + z_q = [] + for _x, m in zip(x, self.quantizer_modules): + _z_q, _min_indicies = m(_x) + z_q.append(_z_q) + min_indicies.append(_min_indicies) # B * T, + z_q = torch.cat(z_q, -1).reshape(xin.shape) + loss = 0.25 * torch.mean((z_q.detach() - xin) ** 2) + torch.mean( + (z_q - xin.detach()) ** 2 + ) + z_q = xin + (z_q - xin).detach() + z_q = z_q.transpose(1, 2) + codes = torch.stack(min_indicies, -1).reshape(B, T, self.n_code_groups) + return z_q, loss, codes.transpose(1, 2) + + def embed(self, x): + # idx: N, 4, T + x = x.transpose(1, 2) + x = torch.split(x, 1, 2) + ret = [] + for q, embed in zip(x, self.quantizer_modules): + q = embed.embedding(q.squeeze(-1)) + ret.append(q) + ret = torch.cat(ret, -1) + return ret.transpose(1, 2) # N, C, T + + +class CodePredictor(nn.Module): + def __init__( + self, + hidden_channels, + filter_channels, + n_heads, + n_layers, + kernel_size, + p_dropout, + n_q=8, + dims=1024, + ssl_dim=768, + ): + super().__init__() + self.hidden_channels = hidden_channels + self.filter_channels = filter_channels + self.n_heads = n_heads + self.n_layers = n_layers + self.kernel_size = kernel_size + self.p_dropout = p_dropout + + self.vq_proj = nn.Conv1d(ssl_dim, hidden_channels, 1) + self.ref_enc = modules.MelStyleEncoder( + ssl_dim, style_vector_dim=hidden_channels + ) + + self.encoder = attentions.Encoder( + hidden_channels, filter_channels, n_heads, n_layers, kernel_size, p_dropout + ) + + self.out_proj = nn.Conv1d(hidden_channels, (n_q - 1) * dims, 1) + self.n_q = n_q + self.dims = dims + + def forward(self, x, x_mask, refer, codes, infer=False): + x = x.detach() + x = self.vq_proj(x * x_mask) * x_mask + g = self.ref_enc(refer, x_mask) + x = x + g + x = self.encoder(x * x_mask, x_mask) + x = self.out_proj(x * x_mask) * x_mask + logits = x.reshape(x.shape[0], self.n_q - 1, self.dims, x.shape[-1]).transpose( + 2, 3 + ) + target = codes[1:].transpose(0, 1) + if not infer: + logits = logits.reshape(-1, self.dims) + target = target.reshape(-1) + loss = torch.nn.functional.cross_entropy(logits, target) + return loss + else: + _, top10_preds = torch.topk(logits, 10, dim=-1) + correct_top10 = torch.any(top10_preds == target.unsqueeze(-1), dim=-1) + top3_acc = 100 * torch.mean(correct_top10.float()).detach().cpu().item() + + print("Top-10 Accuracy:", top3_acc, "%") + + pred_codes = torch.argmax(logits, dim=-1) + acc = 100 * torch.mean((pred_codes == target).float()).detach().cpu().item() + print("Top-1 Accuracy:", acc, "%") + + return pred_codes.transpose(0, 1) + + +class SynthesizerTrn(nn.Module): + """ + Synthesizer for Training + """ + + def __init__( + self, + spec_channels, + segment_size, + inter_channels, + hidden_channels, + filter_channels, + n_heads, + n_layers, + kernel_size, + p_dropout, + resblock, + resblock_kernel_sizes, + resblock_dilation_sizes, + upsample_rates, + upsample_initial_channel, + upsample_kernel_sizes, + n_speakers=0, + gin_channels=0, + use_sdp=True, + semantic_frame_rate=None, + freeze_quantizer=None, + **kwargs + ): + super().__init__() + self.spec_channels = spec_channels + self.inter_channels = inter_channels + self.hidden_channels = hidden_channels + self.filter_channels = filter_channels + self.n_heads = n_heads + self.n_layers = n_layers + self.kernel_size = kernel_size + self.p_dropout = p_dropout + self.resblock = resblock + self.resblock_kernel_sizes = resblock_kernel_sizes + self.resblock_dilation_sizes = resblock_dilation_sizes + self.upsample_rates = upsample_rates + self.upsample_initial_channel = upsample_initial_channel + self.upsample_kernel_sizes = upsample_kernel_sizes + self.segment_size = segment_size + self.n_speakers = n_speakers + self.gin_channels = gin_channels + + self.use_sdp = use_sdp + self.enc_p = TextEncoder( + inter_channels, + hidden_channels, + filter_channels, + n_heads, + n_layers, + kernel_size, + p_dropout, + ) + self.dec = Generator( + inter_channels, + resblock, + resblock_kernel_sizes, + resblock_dilation_sizes, + upsample_rates, + upsample_initial_channel, + upsample_kernel_sizes, + gin_channels=gin_channels, + ) + self.enc_q = PosteriorEncoder( + spec_channels, + inter_channels, + hidden_channels, + 5, + 1, + 16, + gin_channels=gin_channels, + ) + self.flow = ResidualCouplingBlock( + inter_channels, hidden_channels, 5, 1, 4, gin_channels=gin_channels + ) + + self.ref_enc = modules.MelStyleEncoder( + spec_channels, style_vector_dim=gin_channels + ) + + ssl_dim = 768 + self.ssl_dim = ssl_dim + assert semantic_frame_rate in ["25hz", "50hz"] + self.semantic_frame_rate = semantic_frame_rate + if semantic_frame_rate == "25hz": + self.ssl_proj = nn.Conv1d(ssl_dim, ssl_dim, 2, stride=2) + else: + self.ssl_proj = nn.Conv1d(ssl_dim, ssl_dim, 1, stride=1) + + self.quantizer = ResidualVectorQuantizer(dimension=ssl_dim, n_q=1, bins=1024) + if freeze_quantizer: + self.ssl_proj.requires_grad_(False) + self.quantizer.requires_grad_(False) + # self.enc_p.text_embedding.requires_grad_(False) + # self.enc_p.encoder_text.requires_grad_(False) + # self.enc_p.mrte.requires_grad_(False) + + def forward(self, codes, text, refer): + refer_mask = torch.ones_like(refer[:1,:1,:]) + ge = self.ref_enc(refer * refer_mask, refer_mask) + + y_lengths = torch.LongTensor([codes.size(2) * 2]).to(codes.device) + text_lengths = torch.LongTensor([text.size(-1)]).to(text.device) + + quantized = self.quantizer.decode(codes) + if self.semantic_frame_rate == "25hz": + dquantized = torch.cat([quantized, quantized]).permute(1, 2, 0) + quantized = dquantized.contiguous().view(1, self.ssl_dim, -1) + + x, m_p, logs_p, y_mask = self.enc_p( + quantized, text, ge + ) + z_p = m_p + torch.randn_like(m_p) * torch.exp(logs_p) + + z = self.flow(z_p, y_mask, g=ge, reverse=True) + + o = self.dec((z * y_mask)[:, :, :], g=ge) + return o + + def extract_latent(self, x): + ssl = self.ssl_proj(x) + quantized, codes, commit_loss, quantized_list = self.quantizer(ssl) + return codes.transpose(0, 1) \ No newline at end of file diff --git a/GPT_SoVITS/module/modules.py b/GPT_SoVITS/module/modules.py new file mode 100644 index 0000000000000000000000000000000000000000..f44474558423ba27b1d2693cf35289b07cc0086f --- /dev/null +++ b/GPT_SoVITS/module/modules.py @@ -0,0 +1,923 @@ +import math +import numpy as np +import torch +from torch import nn +from torch.nn import functional as F + +from torch.nn import Conv1d +from torch.nn.utils import weight_norm, remove_weight_norm + +from module import commons +from module.commons import init_weights, get_padding +from module.transforms import piecewise_rational_quadratic_transform +import torch.distributions as D + + +LRELU_SLOPE = 0.1 + + +class LayerNorm(nn.Module): + def __init__(self, channels, eps=1e-5): + super().__init__() + self.channels = channels + self.eps = eps + + self.gamma = nn.Parameter(torch.ones(channels)) + self.beta = nn.Parameter(torch.zeros(channels)) + + def forward(self, x): + x = x.transpose(1, -1) + x = F.layer_norm(x, (self.channels,), self.gamma, self.beta, self.eps) + return x.transpose(1, -1) + + +class ConvReluNorm(nn.Module): + def __init__( + self, + in_channels, + hidden_channels, + out_channels, + kernel_size, + n_layers, + p_dropout, + ): + super().__init__() + self.in_channels = in_channels + self.hidden_channels = hidden_channels + self.out_channels = out_channels + self.kernel_size = kernel_size + self.n_layers = n_layers + self.p_dropout = p_dropout + assert n_layers > 1, "Number of layers should be larger than 0." + + self.conv_layers = nn.ModuleList() + self.norm_layers = nn.ModuleList() + self.conv_layers.append( + nn.Conv1d( + in_channels, hidden_channels, kernel_size, padding=kernel_size // 2 + ) + ) + self.norm_layers.append(LayerNorm(hidden_channels)) + self.relu_drop = nn.Sequential(nn.ReLU(), nn.Dropout(p_dropout)) + for _ in range(n_layers - 1): + self.conv_layers.append( + nn.Conv1d( + hidden_channels, + hidden_channels, + kernel_size, + padding=kernel_size // 2, + ) + ) + self.norm_layers.append(LayerNorm(hidden_channels)) + self.proj = nn.Conv1d(hidden_channels, out_channels, 1) + self.proj.weight.data.zero_() + self.proj.bias.data.zero_() + + def forward(self, x, x_mask): + x_org = x + for i in range(self.n_layers): + x = self.conv_layers[i](x * x_mask) + x = self.norm_layers[i](x) + x = self.relu_drop(x) + x = x_org + self.proj(x) + return x * x_mask + + +class DDSConv(nn.Module): + """ + Dialted and Depth-Separable Convolution + """ + + def __init__(self, channels, kernel_size, n_layers, p_dropout=0.0): + super().__init__() + self.channels = channels + self.kernel_size = kernel_size + self.n_layers = n_layers + self.p_dropout = p_dropout + + self.drop = nn.Dropout(p_dropout) + self.convs_sep = nn.ModuleList() + self.convs_1x1 = nn.ModuleList() + self.norms_1 = nn.ModuleList() + self.norms_2 = nn.ModuleList() + for i in range(n_layers): + dilation = kernel_size**i + padding = (kernel_size * dilation - dilation) // 2 + self.convs_sep.append( + nn.Conv1d( + channels, + channels, + kernel_size, + groups=channels, + dilation=dilation, + padding=padding, + ) + ) + self.convs_1x1.append(nn.Conv1d(channels, channels, 1)) + self.norms_1.append(LayerNorm(channels)) + self.norms_2.append(LayerNorm(channels)) + + def forward(self, x, x_mask, g=None): + if g is not None: + x = x + g + for i in range(self.n_layers): + y = self.convs_sep[i](x * x_mask) + y = self.norms_1[i](y) + y = F.gelu(y) + y = self.convs_1x1[i](y) + y = self.norms_2[i](y) + y = F.gelu(y) + y = self.drop(y) + x = x + y + return x * x_mask + + +class WN(torch.nn.Module): + def __init__( + self, + hidden_channels, + kernel_size, + dilation_rate, + n_layers, + gin_channels=0, + p_dropout=0, + ): + super(WN, self).__init__() + assert kernel_size % 2 == 1 + self.hidden_channels = hidden_channels + self.kernel_size = (kernel_size,) + self.dilation_rate = dilation_rate + self.n_layers = n_layers + self.gin_channels = gin_channels + self.p_dropout = p_dropout + + self.in_layers = torch.nn.ModuleList() + self.res_skip_layers = torch.nn.ModuleList() + self.drop = nn.Dropout(p_dropout) + + if gin_channels != 0: + cond_layer = torch.nn.Conv1d( + gin_channels, 2 * hidden_channels * n_layers, 1 + ) + self.cond_layer = torch.nn.utils.weight_norm(cond_layer, name="weight") + + for i in range(n_layers): + dilation = dilation_rate**i + padding = int((kernel_size * dilation - dilation) / 2) + in_layer = torch.nn.Conv1d( + hidden_channels, + 2 * hidden_channels, + kernel_size, + dilation=dilation, + padding=padding, + ) + in_layer = torch.nn.utils.weight_norm(in_layer, name="weight") + self.in_layers.append(in_layer) + + # last one is not necessary + if i < n_layers - 1: + res_skip_channels = 2 * hidden_channels + else: + res_skip_channels = hidden_channels + + res_skip_layer = torch.nn.Conv1d(hidden_channels, res_skip_channels, 1) + res_skip_layer = torch.nn.utils.weight_norm(res_skip_layer, name="weight") + self.res_skip_layers.append(res_skip_layer) + + def forward(self, x, x_mask, g=None, **kwargs): + output = torch.zeros_like(x) + n_channels_tensor = torch.IntTensor([self.hidden_channels]) + + if g is not None: + g = self.cond_layer(g) + + for i in range(self.n_layers): + x_in = self.in_layers[i](x) + if g is not None: + cond_offset = i * 2 * self.hidden_channels + g_l = g[:, cond_offset : cond_offset + 2 * self.hidden_channels, :] + else: + g_l = torch.zeros_like(x_in) + + acts = commons.fused_add_tanh_sigmoid_multiply(x_in, g_l, n_channels_tensor) + acts = self.drop(acts) + + res_skip_acts = self.res_skip_layers[i](acts) + if i < self.n_layers - 1: + res_acts = res_skip_acts[:, : self.hidden_channels, :] + x = (x + res_acts) * x_mask + output = output + res_skip_acts[:, self.hidden_channels :, :] + else: + output = output + res_skip_acts + return output * x_mask + + def remove_weight_norm(self): + if self.gin_channels != 0: + torch.nn.utils.remove_weight_norm(self.cond_layer) + for l in self.in_layers: + torch.nn.utils.remove_weight_norm(l) + for l in self.res_skip_layers: + torch.nn.utils.remove_weight_norm(l) + + +class ResBlock1(torch.nn.Module): + def __init__(self, channels, kernel_size=3, dilation=(1, 3, 5)): + super(ResBlock1, self).__init__() + self.convs1 = nn.ModuleList( + [ + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=dilation[0], + padding=get_padding(kernel_size, dilation[0]), + ) + ), + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=dilation[1], + padding=get_padding(kernel_size, dilation[1]), + ) + ), + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=dilation[2], + padding=get_padding(kernel_size, dilation[2]), + ) + ), + ] + ) + self.convs1.apply(init_weights) + + self.convs2 = nn.ModuleList( + [ + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=1, + padding=get_padding(kernel_size, 1), + ) + ), + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=1, + padding=get_padding(kernel_size, 1), + ) + ), + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=1, + padding=get_padding(kernel_size, 1), + ) + ), + ] + ) + self.convs2.apply(init_weights) + + def forward(self, x, x_mask=None): + for c1, c2 in zip(self.convs1, self.convs2): + xt = F.leaky_relu(x, LRELU_SLOPE) + if x_mask is not None: + xt = xt * x_mask + xt = c1(xt) + xt = F.leaky_relu(xt, LRELU_SLOPE) + if x_mask is not None: + xt = xt * x_mask + xt = c2(xt) + x = xt + x + if x_mask is not None: + x = x * x_mask + return x + + def remove_weight_norm(self): + for l in self.convs1: + remove_weight_norm(l) + for l in self.convs2: + remove_weight_norm(l) + + +class ResBlock2(torch.nn.Module): + def __init__(self, channels, kernel_size=3, dilation=(1, 3)): + super(ResBlock2, self).__init__() + self.convs = nn.ModuleList( + [ + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=dilation[0], + padding=get_padding(kernel_size, dilation[0]), + ) + ), + weight_norm( + Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=dilation[1], + padding=get_padding(kernel_size, dilation[1]), + ) + ), + ] + ) + self.convs.apply(init_weights) + + def forward(self, x, x_mask=None): + for c in self.convs: + xt = F.leaky_relu(x, LRELU_SLOPE) + if x_mask is not None: + xt = xt * x_mask + xt = c(xt) + x = xt + x + if x_mask is not None: + x = x * x_mask + return x + + def remove_weight_norm(self): + for l in self.convs: + remove_weight_norm(l) + + +class Log(nn.Module): + def forward(self, x, x_mask, reverse=False, **kwargs): + if not reverse: + y = torch.log(torch.clamp_min(x, 1e-5)) * x_mask + logdet = torch.sum(-y, [1, 2]) + return y, logdet + else: + x = torch.exp(x) * x_mask + return x + + +class Flip(nn.Module): + def forward(self, x, *args, reverse=False, **kwargs): + x = torch.flip(x, [1]) + if not reverse: + logdet = torch.zeros(x.size(0)).to(dtype=x.dtype, device=x.device) + return x, logdet + else: + return x + + +class ElementwiseAffine(nn.Module): + def __init__(self, channels): + super().__init__() + self.channels = channels + self.m = nn.Parameter(torch.zeros(channels, 1)) + self.logs = nn.Parameter(torch.zeros(channels, 1)) + + def forward(self, x, x_mask, reverse=False, **kwargs): + if not reverse: + y = self.m + torch.exp(self.logs) * x + y = y * x_mask + logdet = torch.sum(self.logs * x_mask, [1, 2]) + return y, logdet + else: + x = (x - self.m) * torch.exp(-self.logs) * x_mask + return x + + +class ResidualCouplingLayer(nn.Module): + def __init__( + self, + channels, + hidden_channels, + kernel_size, + dilation_rate, + n_layers, + p_dropout=0, + gin_channels=0, + mean_only=False, + ): + assert channels % 2 == 0, "channels should be divisible by 2" + super().__init__() + self.channels = channels + self.hidden_channels = hidden_channels + self.kernel_size = kernel_size + self.dilation_rate = dilation_rate + self.n_layers = n_layers + self.half_channels = channels // 2 + self.mean_only = mean_only + + self.pre = nn.Conv1d(self.half_channels, hidden_channels, 1) + self.enc = WN( + hidden_channels, + kernel_size, + dilation_rate, + n_layers, + p_dropout=p_dropout, + gin_channels=gin_channels, + ) + self.post = nn.Conv1d(hidden_channels, self.half_channels * (2 - mean_only), 1) + self.post.weight.data.zero_() + self.post.bias.data.zero_() + + def forward(self, x, x_mask, g=None, reverse=False): + x0, x1 = torch.split(x, [self.half_channels] * 2, 1) + h = self.pre(x0) * x_mask + h = self.enc(h, x_mask, g=g) + stats = self.post(h) * x_mask + if not self.mean_only: + m, logs = torch.split(stats, [self.half_channels] * 2, 1) + else: + m = stats + logs = torch.zeros_like(m) + + if not reverse: + x1 = m + x1 * torch.exp(logs) * x_mask + x = torch.cat([x0, x1], 1) + logdet = torch.sum(logs, [1, 2]) + return x, logdet + else: + x1 = (x1 - m) * torch.exp(-logs) * x_mask + x = torch.cat([x0, x1], 1) + return x + + +class ConvFlow(nn.Module): + def __init__( + self, + in_channels, + filter_channels, + kernel_size, + n_layers, + num_bins=10, + tail_bound=5.0, + ): + super().__init__() + self.in_channels = in_channels + self.filter_channels = filter_channels + self.kernel_size = kernel_size + self.n_layers = n_layers + self.num_bins = num_bins + self.tail_bound = tail_bound + self.half_channels = in_channels // 2 + + self.pre = nn.Conv1d(self.half_channels, filter_channels, 1) + self.convs = DDSConv(filter_channels, kernel_size, n_layers, p_dropout=0.0) + self.proj = nn.Conv1d( + filter_channels, self.half_channels * (num_bins * 3 - 1), 1 + ) + self.proj.weight.data.zero_() + self.proj.bias.data.zero_() + + def forward(self, x, x_mask, g=None, reverse=False): + x0, x1 = torch.split(x, [self.half_channels] * 2, 1) + h = self.pre(x0) + h = self.convs(h, x_mask, g=g) + h = self.proj(h) * x_mask + + b, c, t = x0.shape + h = h.reshape(b, c, -1, t).permute(0, 1, 3, 2) # [b, cx?, t] -> [b, c, t, ?] + + unnormalized_widths = h[..., : self.num_bins] / math.sqrt(self.filter_channels) + unnormalized_heights = h[..., self.num_bins : 2 * self.num_bins] / math.sqrt( + self.filter_channels + ) + unnormalized_derivatives = h[..., 2 * self.num_bins :] + + x1, logabsdet = piecewise_rational_quadratic_transform( + x1, + unnormalized_widths, + unnormalized_heights, + unnormalized_derivatives, + inverse=reverse, + tails="linear", + tail_bound=self.tail_bound, + ) + + x = torch.cat([x0, x1], 1) * x_mask + logdet = torch.sum(logabsdet * x_mask, [1, 2]) + if not reverse: + return x, logdet + else: + return x + + +class LinearNorm(nn.Module): + def __init__( + self, + in_channels, + out_channels, + bias=True, + spectral_norm=False, + ): + super(LinearNorm, self).__init__() + self.fc = nn.Linear(in_channels, out_channels, bias) + + if spectral_norm: + self.fc = nn.utils.spectral_norm(self.fc) + + def forward(self, input): + out = self.fc(input) + return out + + +class Mish(nn.Module): + def __init__(self): + super(Mish, self).__init__() + + def forward(self, x): + return x * torch.tanh(F.softplus(x)) + + +class Conv1dGLU(nn.Module): + """ + Conv1d + GLU(Gated Linear Unit) with residual connection. + For GLU refer to https://arxiv.org/abs/1612.08083 paper. + """ + + def __init__(self, in_channels, out_channels, kernel_size, dropout): + super(Conv1dGLU, self).__init__() + self.out_channels = out_channels + self.conv1 = ConvNorm(in_channels, 2 * out_channels, kernel_size=kernel_size) + self.dropout = nn.Dropout(dropout) + + def forward(self, x): + residual = x + x = self.conv1(x) + x1, x2 = torch.split(x, split_size_or_sections=self.out_channels, dim=1) + x = x1 * torch.sigmoid(x2) + x = residual + self.dropout(x) + return x + + +class ConvNorm(nn.Module): + def __init__( + self, + in_channels, + out_channels, + kernel_size=1, + stride=1, + padding=None, + dilation=1, + bias=True, + spectral_norm=False, + ): + super(ConvNorm, self).__init__() + + if padding is None: + assert kernel_size % 2 == 1 + padding = int(dilation * (kernel_size - 1) / 2) + + self.conv = torch.nn.Conv1d( + in_channels, + out_channels, + kernel_size=kernel_size, + stride=stride, + padding=padding, + dilation=dilation, + bias=bias, + ) + + if spectral_norm: + self.conv = nn.utils.spectral_norm(self.conv) + + def forward(self, input): + out = self.conv(input) + return out + + +class MultiHeadAttention(nn.Module): + """Multi-Head Attention module""" + + def __init__(self, n_head, d_model, d_k, d_v, dropout=0.0, spectral_norm=False): + super().__init__() + + self.n_head = n_head + self.d_k = d_k + self.d_v = d_v + + self.w_qs = nn.Linear(d_model, n_head * d_k) + self.w_ks = nn.Linear(d_model, n_head * d_k) + self.w_vs = nn.Linear(d_model, n_head * d_v) + + self.attention = ScaledDotProductAttention( + temperature=np.power(d_model, 0.5), dropout=dropout + ) + + self.fc = nn.Linear(n_head * d_v, d_model) + self.dropout = nn.Dropout(dropout) + + if spectral_norm: + self.w_qs = nn.utils.spectral_norm(self.w_qs) + self.w_ks = nn.utils.spectral_norm(self.w_ks) + self.w_vs = nn.utils.spectral_norm(self.w_vs) + self.fc = nn.utils.spectral_norm(self.fc) + + def forward(self, x, mask=None): + d_k, d_v, n_head = self.d_k, self.d_v, self.n_head + sz_b, len_x, _ = x.size() + + residual = x + + q = self.w_qs(x).view(sz_b, len_x, n_head, d_k) + k = self.w_ks(x).view(sz_b, len_x, n_head, d_k) + v = self.w_vs(x).view(sz_b, len_x, n_head, d_v) + q = q.permute(2, 0, 1, 3).contiguous().view(-1, len_x, d_k) # (n*b) x lq x dk + k = k.permute(2, 0, 1, 3).contiguous().view(-1, len_x, d_k) # (n*b) x lk x dk + v = v.permute(2, 0, 1, 3).contiguous().view(-1, len_x, d_v) # (n*b) x lv x dv + + if mask is not None: + slf_mask = mask.repeat(n_head, 1, 1) # (n*b) x .. x .. + else: + slf_mask = None + output, attn = self.attention(q, k, v, mask=slf_mask) + + output = output.view(n_head, sz_b, len_x, d_v) + output = ( + output.permute(1, 2, 0, 3).contiguous().view(sz_b, len_x, -1) + ) # b x lq x (n*dv) + + output = self.fc(output) + + output = self.dropout(output) + residual + return output, attn + + +class ScaledDotProductAttention(nn.Module): + """Scaled Dot-Product Attention""" + + def __init__(self, temperature, dropout): + super().__init__() + self.temperature = temperature + self.softmax = nn.Softmax(dim=2) + self.dropout = nn.Dropout(dropout) + + def forward(self, q, k, v, mask=None): + attn = torch.bmm(q, k.transpose(1, 2)) + attn = attn / self.temperature + + if mask is not None: + attn = attn.masked_fill(mask, -np.inf) + + attn = self.softmax(attn) + p_attn = self.dropout(attn) + + output = torch.bmm(p_attn, v) + return output, attn + + +class MelStyleEncoder(nn.Module): + """MelStyleEncoder""" + + def __init__( + self, + n_mel_channels=80, + style_hidden=128, + style_vector_dim=256, + style_kernel_size=5, + style_head=2, + dropout=0.1, + ): + super(MelStyleEncoder, self).__init__() + self.in_dim = n_mel_channels + self.hidden_dim = style_hidden + self.out_dim = style_vector_dim + self.kernel_size = style_kernel_size + self.n_head = style_head + self.dropout = dropout + + self.spectral = nn.Sequential( + LinearNorm(self.in_dim, self.hidden_dim), + Mish(), + nn.Dropout(self.dropout), + LinearNorm(self.hidden_dim, self.hidden_dim), + Mish(), + nn.Dropout(self.dropout), + ) + + self.temporal = nn.Sequential( + Conv1dGLU(self.hidden_dim, self.hidden_dim, self.kernel_size, self.dropout), + Conv1dGLU(self.hidden_dim, self.hidden_dim, self.kernel_size, self.dropout), + ) + + self.slf_attn = MultiHeadAttention( + self.n_head, + self.hidden_dim, + self.hidden_dim // self.n_head, + self.hidden_dim // self.n_head, + self.dropout, + ) + + self.fc = LinearNorm(self.hidden_dim, self.out_dim) + + def temporal_avg_pool(self, x, mask=None): + if mask is None: + out = torch.mean(x, dim=1) + else: + len_ = (~mask).sum(dim=1).unsqueeze(1) + x = x.masked_fill(mask.unsqueeze(-1), 0) + x = x.sum(dim=1) + out = torch.div(x, len_) + return out + + def forward(self, x, mask=None): + x = x.transpose(1, 2) + if mask is not None: + mask = (mask.int() == 0).squeeze(1) + max_len = x.shape[1] + slf_attn_mask = ( + mask.unsqueeze(1).expand(-1, max_len, -1) if mask is not None else None + ) + + # spectral + x = self.spectral(x) + # temporal + x = x.transpose(1, 2) + x = self.temporal(x) + x = x.transpose(1, 2) + # self-attention + if mask is not None: + x = x.masked_fill(mask.unsqueeze(-1), 0) + x, _ = self.slf_attn(x, mask=slf_attn_mask) + # fc + x = self.fc(x) + # temoral average pooling + w = self.temporal_avg_pool(x, mask=mask) + + return w.unsqueeze(-1) + + +class MelStyleEncoderVAE(nn.Module): + def __init__(self, spec_channels, z_latent_dim, emb_dim): + super().__init__() + self.ref_encoder = MelStyleEncoder(spec_channels, style_vector_dim=emb_dim) + self.fc1 = nn.Linear(emb_dim, z_latent_dim) + self.fc2 = nn.Linear(emb_dim, z_latent_dim) + self.fc3 = nn.Linear(z_latent_dim, emb_dim) + self.z_latent_dim = z_latent_dim + + def reparameterize(self, mu, logvar): + if self.training: + std = torch.exp(0.5 * logvar) + eps = torch.randn_like(std) + return eps.mul(std).add_(mu) + else: + return mu + + def forward(self, inputs, mask=None): + enc_out = self.ref_encoder(inputs.squeeze(-1), mask).squeeze(-1) + mu = self.fc1(enc_out) + logvar = self.fc2(enc_out) + posterior = D.Normal(mu, torch.exp(logvar)) + kl_divergence = D.kl_divergence( + posterior, D.Normal(torch.zeros_like(mu), torch.ones_like(logvar)) + ) + loss_kl = kl_divergence.mean() + + z = posterior.rsample() + style_embed = self.fc3(z) + + return style_embed.unsqueeze(-1), loss_kl + + def infer(self, inputs=None, random_sample=False, manual_latent=None): + if manual_latent is None: + if random_sample: + dev = next(self.parameters()).device + posterior = D.Normal( + torch.zeros(1, self.z_latent_dim, device=dev), + torch.ones(1, self.z_latent_dim, device=dev), + ) + z = posterior.rsample() + else: + enc_out = self.ref_encoder(inputs.transpose(1, 2)) + mu = self.fc1(enc_out) + z = mu + else: + z = manual_latent + style_embed = self.fc3(z) + return style_embed.unsqueeze(-1), z + + +class ActNorm(nn.Module): + def __init__(self, channels, ddi=False, **kwargs): + super().__init__() + self.channels = channels + self.initialized = not ddi + + self.logs = nn.Parameter(torch.zeros(1, channels, 1)) + self.bias = nn.Parameter(torch.zeros(1, channels, 1)) + + def forward(self, x, x_mask=None, g=None, reverse=False, **kwargs): + if x_mask is None: + x_mask = torch.ones(x.size(0), 1, x.size(2)).to( + device=x.device, dtype=x.dtype + ) + x_len = torch.sum(x_mask, [1, 2]) + if not self.initialized: + self.initialize(x, x_mask) + self.initialized = True + + if reverse: + z = (x - self.bias) * torch.exp(-self.logs) * x_mask + logdet = None + return z + else: + z = (self.bias + torch.exp(self.logs) * x) * x_mask + logdet = torch.sum(self.logs) * x_len # [b] + return z, logdet + + def store_inverse(self): + pass + + def set_ddi(self, ddi): + self.initialized = not ddi + + def initialize(self, x, x_mask): + with torch.no_grad(): + denom = torch.sum(x_mask, [0, 2]) + m = torch.sum(x * x_mask, [0, 2]) / denom + m_sq = torch.sum(x * x * x_mask, [0, 2]) / denom + v = m_sq - (m**2) + logs = 0.5 * torch.log(torch.clamp_min(v, 1e-6)) + + bias_init = ( + (-m * torch.exp(-logs)).view(*self.bias.shape).to(dtype=self.bias.dtype) + ) + logs_init = (-logs).view(*self.logs.shape).to(dtype=self.logs.dtype) + + self.bias.data.copy_(bias_init) + self.logs.data.copy_(logs_init) + + +class InvConvNear(nn.Module): + def __init__(self, channels, n_split=4, no_jacobian=False, **kwargs): + super().__init__() + assert n_split % 2 == 0 + self.channels = channels + self.n_split = n_split + self.no_jacobian = no_jacobian + + w_init = torch.linalg.qr( + torch.FloatTensor(self.n_split, self.n_split).normal_() + )[0] + if torch.det(w_init) < 0: + w_init[:, 0] = -1 * w_init[:, 0] + self.weight = nn.Parameter(w_init) + + def forward(self, x, x_mask=None, g=None, reverse=False, **kwargs): + b, c, t = x.size() + assert c % self.n_split == 0 + if x_mask is None: + x_mask = 1 + x_len = torch.ones((b,), dtype=x.dtype, device=x.device) * t + else: + x_len = torch.sum(x_mask, [1, 2]) + + x = x.view(b, 2, c // self.n_split, self.n_split // 2, t) + x = ( + x.permute(0, 1, 3, 2, 4) + .contiguous() + .view(b, self.n_split, c // self.n_split, t) + ) + + if reverse: + if hasattr(self, "weight_inv"): + weight = self.weight_inv + else: + weight = torch.inverse(self.weight.float()).to(dtype=self.weight.dtype) + logdet = None + else: + weight = self.weight + if self.no_jacobian: + logdet = 0 + else: + logdet = torch.logdet(self.weight) * (c / self.n_split) * x_len # [b] + + weight = weight.view(self.n_split, self.n_split, 1, 1) + z = F.conv2d(x, weight) + + z = z.view(b, 2, self.n_split // 2, c // self.n_split, t) + z = z.permute(0, 1, 3, 2, 4).contiguous().view(b, c, t) * x_mask + if reverse: + return z + else: + return z, logdet + + def store_inverse(self): + self.weight_inv = torch.inverse(self.weight.float()).to(dtype=self.weight.dtype) diff --git a/GPT_SoVITS/module/mrte_model.py b/GPT_SoVITS/module/mrte_model.py new file mode 100644 index 0000000000000000000000000000000000000000..b0cd242c3faef30c819cbd7cdbedd90f83fcb1d6 --- /dev/null +++ b/GPT_SoVITS/module/mrte_model.py @@ -0,0 +1,192 @@ +# This is Multi-reference timbre encoder + +import torch +from torch import nn +from torch.nn.utils import remove_weight_norm, weight_norm +from module.attentions import MultiHeadAttention + + +class MRTE(nn.Module): + def __init__( + self, + content_enc_channels=192, + hidden_size=512, + out_channels=192, + kernel_size=5, + n_heads=4, + ge_layer=2, + ): + super(MRTE, self).__init__() + self.cross_attention = MultiHeadAttention(hidden_size, hidden_size, n_heads) + self.c_pre = nn.Conv1d(content_enc_channels, hidden_size, 1) + self.text_pre = nn.Conv1d(content_enc_channels, hidden_size, 1) + self.c_post = nn.Conv1d(hidden_size, out_channels, 1) + + def forward(self, ssl_enc, ssl_mask, text, text_mask, ge, test=None): + if ge == None: + ge = 0 + attn_mask = text_mask.unsqueeze(2) * ssl_mask.unsqueeze(-1) + + ssl_enc = self.c_pre(ssl_enc * ssl_mask) + text_enc = self.text_pre(text * text_mask) + if test != None: + if test == 0: + x = ( + self.cross_attention( + ssl_enc * ssl_mask, text_enc * text_mask, attn_mask + ) + + ssl_enc + + ge + ) + elif test == 1: + x = ssl_enc + ge + elif test == 2: + x = ( + self.cross_attention( + ssl_enc * 0 * ssl_mask, text_enc * text_mask, attn_mask + ) + + ge + ) + else: + raise ValueError("test should be 0,1,2") + else: + x = ( + self.cross_attention( + ssl_enc * ssl_mask, text_enc * text_mask, attn_mask + ) + + ssl_enc + + ge + ) + x = self.c_post(x * ssl_mask) + return x + + +class SpeakerEncoder(torch.nn.Module): + def __init__( + self, + mel_n_channels=80, + model_num_layers=2, + model_hidden_size=256, + model_embedding_size=256, + ): + super(SpeakerEncoder, self).__init__() + self.lstm = nn.LSTM( + mel_n_channels, model_hidden_size, model_num_layers, batch_first=True + ) + self.linear = nn.Linear(model_hidden_size, model_embedding_size) + self.relu = nn.ReLU() + + def forward(self, mels): + self.lstm.flatten_parameters() + _, (hidden, _) = self.lstm(mels.transpose(-1, -2)) + embeds_raw = self.relu(self.linear(hidden[-1])) + return embeds_raw / torch.norm(embeds_raw, dim=1, keepdim=True) + + +class MELEncoder(nn.Module): + def __init__( + self, + in_channels, + out_channels, + hidden_channels, + kernel_size, + dilation_rate, + n_layers, + ): + super().__init__() + self.in_channels = in_channels + self.out_channels = out_channels + self.hidden_channels = hidden_channels + self.kernel_size = kernel_size + self.dilation_rate = dilation_rate + self.n_layers = n_layers + + self.pre = nn.Conv1d(in_channels, hidden_channels, 1) + self.enc = WN(hidden_channels, kernel_size, dilation_rate, n_layers) + self.proj = nn.Conv1d(hidden_channels, out_channels, 1) + + def forward(self, x): + # print(x.shape,x_lengths.shape) + x = self.pre(x) + x = self.enc(x) + x = self.proj(x) + return x + + +class WN(torch.nn.Module): + def __init__(self, hidden_channels, kernel_size, dilation_rate, n_layers): + super(WN, self).__init__() + assert kernel_size % 2 == 1 + self.hidden_channels = hidden_channels + self.kernel_size = kernel_size + self.dilation_rate = dilation_rate + self.n_layers = n_layers + + self.in_layers = torch.nn.ModuleList() + self.res_skip_layers = torch.nn.ModuleList() + + for i in range(n_layers): + dilation = dilation_rate**i + padding = int((kernel_size * dilation - dilation) / 2) + in_layer = nn.Conv1d( + hidden_channels, + 2 * hidden_channels, + kernel_size, + dilation=dilation, + padding=padding, + ) + in_layer = weight_norm(in_layer) + self.in_layers.append(in_layer) + + # last one is not necessary + if i < n_layers - 1: + res_skip_channels = 2 * hidden_channels + else: + res_skip_channels = hidden_channels + + res_skip_layer = torch.nn.Conv1d(hidden_channels, res_skip_channels, 1) + res_skip_layer = weight_norm(res_skip_layer, name="weight") + self.res_skip_layers.append(res_skip_layer) + + def forward(self, x): + output = torch.zeros_like(x) + n_channels_tensor = torch.IntTensor([self.hidden_channels]) + + for i in range(self.n_layers): + x_in = self.in_layers[i](x) + + acts = fused_add_tanh_sigmoid_multiply(x_in, n_channels_tensor) + + res_skip_acts = self.res_skip_layers[i](acts) + if i < self.n_layers - 1: + res_acts = res_skip_acts[:, : self.hidden_channels, :] + x = x + res_acts + output = output + res_skip_acts[:, self.hidden_channels :, :] + else: + output = output + res_skip_acts + return output + + def remove_weight_norm(self): + for l in self.in_layers: + remove_weight_norm(l) + for l in self.res_skip_layers: + remove_weight_norm(l) + + +@torch.jit.script +def fused_add_tanh_sigmoid_multiply(input, n_channels): + n_channels_int = n_channels[0] + t_act = torch.tanh(input[:, :n_channels_int, :]) + s_act = torch.sigmoid(input[:, n_channels_int:, :]) + acts = t_act * s_act + return acts + + +if __name__ == "__main__": + content_enc = torch.randn(3, 192, 100) + content_mask = torch.ones(3, 1, 100) + ref_mel = torch.randn(3, 128, 30) + ref_mask = torch.ones(3, 1, 30) + model = MRTE() + out = model(content_enc, content_mask, ref_mel, ref_mask) + print(out.shape) diff --git a/GPT_SoVITS/module/quantize.py b/GPT_SoVITS/module/quantize.py new file mode 100644 index 0000000000000000000000000000000000000000..f9a5c632dadbd82e0e2802daee5c0f1fe51b36a7 --- /dev/null +++ b/GPT_SoVITS/module/quantize.py @@ -0,0 +1,119 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +"""Residual vector quantizer implementation.""" + +from dataclasses import dataclass, field +import math +import typing as tp + +import torch +from torch import nn + +from module.core_vq import ResidualVectorQuantization + + +@dataclass +class QuantizedResult: + quantized: torch.Tensor + codes: torch.Tensor + bandwidth: torch.Tensor # bandwidth in kb/s used, per batch item. + penalty: tp.Optional[torch.Tensor] = None + metrics: dict = field(default_factory=dict) + + +class ResidualVectorQuantizer(nn.Module): + """Residual Vector Quantizer. + Args: + dimension (int): Dimension of the codebooks. + n_q (int): Number of residual vector quantizers used. + bins (int): Codebook size. + decay (float): Decay for exponential moving average over the codebooks. + kmeans_init (bool): Whether to use kmeans to initialize the codebooks. + kmeans_iters (int): Number of iterations used for kmeans initialization. + threshold_ema_dead_code (int): Threshold for dead code expiration. Replace any codes + that have an exponential moving average cluster size less than the specified threshold with + randomly selected vector from the current batch. + """ + + def __init__( + self, + dimension: int = 256, + n_q: int = 8, + bins: int = 1024, + decay: float = 0.99, + kmeans_init: bool = True, + kmeans_iters: int = 50, + threshold_ema_dead_code: int = 2, + ): + super().__init__() + self.n_q = n_q + self.dimension = dimension + self.bins = bins + self.decay = decay + self.kmeans_init = kmeans_init + self.kmeans_iters = kmeans_iters + self.threshold_ema_dead_code = threshold_ema_dead_code + self.vq = ResidualVectorQuantization( + dim=self.dimension, + codebook_size=self.bins, + num_quantizers=self.n_q, + decay=self.decay, + kmeans_init=self.kmeans_init, + kmeans_iters=self.kmeans_iters, + threshold_ema_dead_code=self.threshold_ema_dead_code, + ) + + def forward( + self, + x: torch.Tensor, + n_q: tp.Optional[int] = None, + layers: tp.Optional[list] = None, + ) -> QuantizedResult: + """Residual vector quantization on the given input tensor. + Args: + x (torch.Tensor): Input tensor. + n_q (int): Number of quantizer used to quantize. Default: All quantizers. + layers (list): Layer that need to return quantized. Defalt: None. + Returns: + QuantizedResult: + The quantized (or approximately quantized) representation with + the associated numbert quantizers and layer quantized required to return. + """ + n_q = n_q if n_q else self.n_q + if layers and max(layers) >= n_q: + raise ValueError( + f"Last layer index in layers: A {max(layers)}. Number of quantizers in RVQ: B {self.n_q}. A must less than B." + ) + quantized, codes, commit_loss, quantized_list = self.vq( + x, n_q=n_q, layers=layers + ) + return quantized, codes, torch.mean(commit_loss), quantized_list + + def encode( + self, x: torch.Tensor, n_q: tp.Optional[int] = None, st: tp.Optional[int] = None + ) -> torch.Tensor: + """Encode a given input tensor with the specified sample rate at the given bandwidth. + The RVQ encode method sets the appropriate number of quantizer to use + and returns indices for each quantizer. + Args: + x (torch.Tensor): Input tensor. + n_q (int): Number of quantizer used to quantize. Default: All quantizers. + st (int): Start to encode input from which layers. Default: 0. + """ + n_q = n_q if n_q else self.n_q + st = st or 0 + codes = self.vq.encode(x, n_q=n_q, st=st) + return codes + + def decode(self, codes: torch.Tensor, st: int = 0) -> torch.Tensor: + """Decode the given codes to the quantized representation. + Args: + codes (torch.Tensor): Input indices for each quantizer. + st (int): Start to decode input codes from which layers. Default: 0. + """ + quantized = self.vq.decode(codes, st=st) + return quantized diff --git a/GPT_SoVITS/module/transforms.py b/GPT_SoVITS/module/transforms.py new file mode 100644 index 0000000000000000000000000000000000000000..a11f799e023864ff7082c1f49c0cc18351a13b47 --- /dev/null +++ b/GPT_SoVITS/module/transforms.py @@ -0,0 +1,209 @@ +import torch +from torch.nn import functional as F + +import numpy as np + + +DEFAULT_MIN_BIN_WIDTH = 1e-3 +DEFAULT_MIN_BIN_HEIGHT = 1e-3 +DEFAULT_MIN_DERIVATIVE = 1e-3 + + +def piecewise_rational_quadratic_transform( + inputs, + unnormalized_widths, + unnormalized_heights, + unnormalized_derivatives, + inverse=False, + tails=None, + tail_bound=1.0, + min_bin_width=DEFAULT_MIN_BIN_WIDTH, + min_bin_height=DEFAULT_MIN_BIN_HEIGHT, + min_derivative=DEFAULT_MIN_DERIVATIVE, +): + if tails is None: + spline_fn = rational_quadratic_spline + spline_kwargs = {} + else: + spline_fn = unconstrained_rational_quadratic_spline + spline_kwargs = {"tails": tails, "tail_bound": tail_bound} + + outputs, logabsdet = spline_fn( + inputs=inputs, + unnormalized_widths=unnormalized_widths, + unnormalized_heights=unnormalized_heights, + unnormalized_derivatives=unnormalized_derivatives, + inverse=inverse, + min_bin_width=min_bin_width, + min_bin_height=min_bin_height, + min_derivative=min_derivative, + **spline_kwargs + ) + return outputs, logabsdet + + +def searchsorted(bin_locations, inputs, eps=1e-6): + bin_locations[..., -1] += eps + return torch.sum(inputs[..., None] >= bin_locations, dim=-1) - 1 + + +def unconstrained_rational_quadratic_spline( + inputs, + unnormalized_widths, + unnormalized_heights, + unnormalized_derivatives, + inverse=False, + tails="linear", + tail_bound=1.0, + min_bin_width=DEFAULT_MIN_BIN_WIDTH, + min_bin_height=DEFAULT_MIN_BIN_HEIGHT, + min_derivative=DEFAULT_MIN_DERIVATIVE, +): + inside_interval_mask = (inputs >= -tail_bound) & (inputs <= tail_bound) + outside_interval_mask = ~inside_interval_mask + + outputs = torch.zeros_like(inputs) + logabsdet = torch.zeros_like(inputs) + + if tails == "linear": + unnormalized_derivatives = F.pad(unnormalized_derivatives, pad=(1, 1)) + constant = np.log(np.exp(1 - min_derivative) - 1) + unnormalized_derivatives[..., 0] = constant + unnormalized_derivatives[..., -1] = constant + + outputs[outside_interval_mask] = inputs[outside_interval_mask] + logabsdet[outside_interval_mask] = 0 + else: + raise RuntimeError("{} tails are not implemented.".format(tails)) + + ( + outputs[inside_interval_mask], + logabsdet[inside_interval_mask], + ) = rational_quadratic_spline( + inputs=inputs[inside_interval_mask], + unnormalized_widths=unnormalized_widths[inside_interval_mask, :], + unnormalized_heights=unnormalized_heights[inside_interval_mask, :], + unnormalized_derivatives=unnormalized_derivatives[inside_interval_mask, :], + inverse=inverse, + left=-tail_bound, + right=tail_bound, + bottom=-tail_bound, + top=tail_bound, + min_bin_width=min_bin_width, + min_bin_height=min_bin_height, + min_derivative=min_derivative, + ) + + return outputs, logabsdet + + +def rational_quadratic_spline( + inputs, + unnormalized_widths, + unnormalized_heights, + unnormalized_derivatives, + inverse=False, + left=0.0, + right=1.0, + bottom=0.0, + top=1.0, + min_bin_width=DEFAULT_MIN_BIN_WIDTH, + min_bin_height=DEFAULT_MIN_BIN_HEIGHT, + min_derivative=DEFAULT_MIN_DERIVATIVE, +): + if torch.min(inputs) < left or torch.max(inputs) > right: + raise ValueError("Input to a transform is not within its domain") + + num_bins = unnormalized_widths.shape[-1] + + if min_bin_width * num_bins > 1.0: + raise ValueError("Minimal bin width too large for the number of bins") + if min_bin_height * num_bins > 1.0: + raise ValueError("Minimal bin height too large for the number of bins") + + widths = F.softmax(unnormalized_widths, dim=-1) + widths = min_bin_width + (1 - min_bin_width * num_bins) * widths + cumwidths = torch.cumsum(widths, dim=-1) + cumwidths = F.pad(cumwidths, pad=(1, 0), mode="constant", value=0.0) + cumwidths = (right - left) * cumwidths + left + cumwidths[..., 0] = left + cumwidths[..., -1] = right + widths = cumwidths[..., 1:] - cumwidths[..., :-1] + + derivatives = min_derivative + F.softplus(unnormalized_derivatives) + + heights = F.softmax(unnormalized_heights, dim=-1) + heights = min_bin_height + (1 - min_bin_height * num_bins) * heights + cumheights = torch.cumsum(heights, dim=-1) + cumheights = F.pad(cumheights, pad=(1, 0), mode="constant", value=0.0) + cumheights = (top - bottom) * cumheights + bottom + cumheights[..., 0] = bottom + cumheights[..., -1] = top + heights = cumheights[..., 1:] - cumheights[..., :-1] + + if inverse: + bin_idx = searchsorted(cumheights, inputs)[..., None] + else: + bin_idx = searchsorted(cumwidths, inputs)[..., None] + + input_cumwidths = cumwidths.gather(-1, bin_idx)[..., 0] + input_bin_widths = widths.gather(-1, bin_idx)[..., 0] + + input_cumheights = cumheights.gather(-1, bin_idx)[..., 0] + delta = heights / widths + input_delta = delta.gather(-1, bin_idx)[..., 0] + + input_derivatives = derivatives.gather(-1, bin_idx)[..., 0] + input_derivatives_plus_one = derivatives[..., 1:].gather(-1, bin_idx)[..., 0] + + input_heights = heights.gather(-1, bin_idx)[..., 0] + + if inverse: + a = (inputs - input_cumheights) * ( + input_derivatives + input_derivatives_plus_one - 2 * input_delta + ) + input_heights * (input_delta - input_derivatives) + b = input_heights * input_derivatives - (inputs - input_cumheights) * ( + input_derivatives + input_derivatives_plus_one - 2 * input_delta + ) + c = -input_delta * (inputs - input_cumheights) + + discriminant = b.pow(2) - 4 * a * c + assert (discriminant >= 0).all() + + root = (2 * c) / (-b - torch.sqrt(discriminant)) + outputs = root * input_bin_widths + input_cumwidths + + theta_one_minus_theta = root * (1 - root) + denominator = input_delta + ( + (input_derivatives + input_derivatives_plus_one - 2 * input_delta) + * theta_one_minus_theta + ) + derivative_numerator = input_delta.pow(2) * ( + input_derivatives_plus_one * root.pow(2) + + 2 * input_delta * theta_one_minus_theta + + input_derivatives * (1 - root).pow(2) + ) + logabsdet = torch.log(derivative_numerator) - 2 * torch.log(denominator) + + return outputs, -logabsdet + else: + theta = (inputs - input_cumwidths) / input_bin_widths + theta_one_minus_theta = theta * (1 - theta) + + numerator = input_heights * ( + input_delta * theta.pow(2) + input_derivatives * theta_one_minus_theta + ) + denominator = input_delta + ( + (input_derivatives + input_derivatives_plus_one - 2 * input_delta) + * theta_one_minus_theta + ) + outputs = input_cumheights + numerator / denominator + + derivative_numerator = input_delta.pow(2) * ( + input_derivatives_plus_one * theta.pow(2) + + 2 * input_delta * theta_one_minus_theta + + input_derivatives * (1 - theta).pow(2) + ) + logabsdet = torch.log(derivative_numerator) - 2 * torch.log(denominator) + + return outputs, logabsdet diff --git a/GPT_SoVITS/my_utils.py b/GPT_SoVITS/my_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..776939dd29bbcd9c45e47665f545a3dddcb16478 --- /dev/null +++ b/GPT_SoVITS/my_utils.py @@ -0,0 +1,21 @@ +import ffmpeg +import numpy as np + + +def load_audio(file, sr): + try: + # https://github.com/openai/whisper/blob/main/whisper/audio.py#L26 + # This launches a subprocess to decode audio while down-mixing and resampling as necessary. + # Requires the ffmpeg CLI and `ffmpeg-python` package to be installed. + file = ( + file.strip(" ").strip('"').strip("\n").strip('"').strip(" ") + ) # 防止小白拷路径头尾带了空格和"和回车 + out, _ = ( + ffmpeg.input(file, threads=0) + .output("-", format="f32le", acodec="pcm_f32le", ac=1, ar=sr) + .run(cmd=["ffmpeg", "-nostdin"], capture_stdout=True, capture_stderr=True) + ) + except Exception as e: + raise RuntimeError(f"Failed to load audio: {e}") + + return np.frombuffer(out, np.float32).flatten() diff --git a/GPT_SoVITS/onnx_export.py b/GPT_SoVITS/onnx_export.py new file mode 100644 index 0000000000000000000000000000000000000000..f08679f913859d2e8657548d6c1382148240b0a9 --- /dev/null +++ b/GPT_SoVITS/onnx_export.py @@ -0,0 +1,314 @@ +from module.models_onnx import SynthesizerTrn, symbols +from AR.models.t2s_lightning_module_onnx import Text2SemanticLightningModule +import torch +import torchaudio +from torch import nn +from feature_extractor import cnhubert +cnhubert_base_path = "pretrained_models/chinese-hubert-base" +cnhubert.cnhubert_base_path=cnhubert_base_path +ssl_model = cnhubert.get_model() +from text import cleaned_text_to_sequence +import soundfile +from my_utils import load_audio +import os +import json + +def spectrogram_torch(y, n_fft, sampling_rate, hop_size, win_size, center=False): + hann_window = torch.hann_window(win_size).to( + dtype=y.dtype, device=y.device + ) + y = torch.nn.functional.pad( + y.unsqueeze(1), + (int((n_fft - hop_size) / 2), int((n_fft - hop_size) / 2)), + mode="reflect", + ) + y = y.squeeze(1) + spec = torch.stft( + y, + n_fft, + hop_length=hop_size, + win_length=win_size, + window=hann_window, + center=center, + pad_mode="reflect", + normalized=False, + onesided=True, + return_complex=False, + ) + spec = torch.sqrt(spec.pow(2).sum(-1) + 1e-6) + return spec + + +class DictToAttrRecursive(dict): + def __init__(self, input_dict): + super().__init__(input_dict) + for key, value in input_dict.items(): + if isinstance(value, dict): + value = DictToAttrRecursive(value) + self[key] = value + setattr(self, key, value) + + def __getattr__(self, item): + try: + return self[item] + except KeyError: + raise AttributeError(f"Attribute {item} not found") + + def __setattr__(self, key, value): + if isinstance(value, dict): + value = DictToAttrRecursive(value) + super(DictToAttrRecursive, self).__setitem__(key, value) + super().__setattr__(key, value) + + def __delattr__(self, item): + try: + del self[item] + except KeyError: + raise AttributeError(f"Attribute {item} not found") + + +class T2SEncoder(nn.Module): + def __init__(self, t2s, vits): + super().__init__() + self.encoder = t2s.onnx_encoder + self.vits = vits + + def forward(self, ref_seq, text_seq, ref_bert, text_bert, ssl_content): + codes = self.vits.extract_latent(ssl_content) + prompt_semantic = codes[0, 0] + bert = torch.cat([ref_bert.transpose(0, 1), text_bert.transpose(0, 1)], 1) + all_phoneme_ids = torch.cat([ref_seq, text_seq], 1) + bert = bert.unsqueeze(0) + prompt = prompt_semantic.unsqueeze(0) + return self.encoder(all_phoneme_ids, bert), prompt + + +class T2SModel(nn.Module): + def __init__(self, t2s_path, vits_model): + super().__init__() + dict_s1 = torch.load(t2s_path, map_location="cpu") + self.config = dict_s1["config"] + self.t2s_model = Text2SemanticLightningModule(self.config, "ojbk", is_train=False) + self.t2s_model.load_state_dict(dict_s1["weight"]) + self.t2s_model.eval() + self.vits_model = vits_model.vq_model + self.hz = 50 + self.max_sec = self.config["data"]["max_sec"] + self.t2s_model.model.top_k = torch.LongTensor([self.config["inference"]["top_k"]]) + self.t2s_model.model.early_stop_num = torch.LongTensor([self.hz * self.max_sec]) + self.t2s_model = self.t2s_model.model + self.t2s_model.init_onnx() + self.onnx_encoder = T2SEncoder(self.t2s_model, self.vits_model) + self.first_stage_decoder = self.t2s_model.first_stage_decoder + self.stage_decoder = self.t2s_model.stage_decoder + #self.t2s_model = torch.jit.script(self.t2s_model) + + def forward(self, ref_seq, text_seq, ref_bert, text_bert, ssl_content): + early_stop_num = self.t2s_model.early_stop_num + + #[1,N] [1,N] [N, 1024] [N, 1024] [1, 768, N] + x, prompts = self.onnx_encoder(ref_seq, text_seq, ref_bert, text_bert, ssl_content) + + prefix_len = prompts.shape[1] + + #[1,N,512] [1,N] + y, k, v, y_emb, x_example = self.first_stage_decoder(x, prompts) + + stop = False + for idx in range(1, 1500): + #[1, N] [N_layer, N, 1, 512] [N_layer, N, 1, 512] [1, N, 512] [1] [1, N, 512] [1, N] + enco = self.stage_decoder(y, k, v, y_emb, x_example) + y, k, v, y_emb, logits, samples = enco + if early_stop_num != -1 and (y.shape[1] - prefix_len) > early_stop_num: + stop = True + if torch.argmax(logits, dim=-1)[0] == self.t2s_model.EOS or samples[0, 0] == self.t2s_model.EOS: + stop = True + if stop: + break + y[0, -1] = 0 + + return y[:, -idx:].unsqueeze(0) + + def export(self, ref_seq, text_seq, ref_bert, text_bert, ssl_content, project_name, dynamo=False): + #self.onnx_encoder = torch.jit.script(self.onnx_encoder) + if dynamo: + export_options = torch.onnx.ExportOptions(dynamic_shapes=True) + onnx_encoder_export_output = torch.onnx.dynamo_export( + self.onnx_encoder, + (ref_seq, text_seq, ref_bert, text_bert, ssl_content), + export_options=export_options + ) + onnx_encoder_export_output.save(f"onnx/{project_name}/{project_name}_t2s_encoder.onnx") + return + torch.onnx.export( + self.onnx_encoder, + (ref_seq, text_seq, ref_bert, text_bert, ssl_content), + f"onnx/{project_name}/{project_name}_t2s_encoder.onnx", + input_names=["ref_seq", "text_seq", "ref_bert", "text_bert", "ssl_content"], + output_names=["x", "prompts"], + dynamic_axes={ + "ref_seq": [1], + "text_seq": [1], + "ref_bert": [0], + "text_bert": [0], + "ssl_content": [2], + }, + opset_version=16 + ) + x, prompts = self.onnx_encoder(ref_seq, text_seq, ref_bert, text_bert, ssl_content) + torch.exp + torch.onnx.export( + self.first_stage_decoder, + (x, prompts), + f"onnx/{project_name}/{project_name}_t2s_fsdec.onnx", + input_names=["x", "prompts"], + output_names=["y", "k", "v", "y_emb", "x_example"], + dynamic_axes={ + "x": [1], + "prompts": [1], + }, + verbose=True, + opset_version=16 + ) + y, k, v, y_emb, x_example = self.first_stage_decoder(x, prompts) + + torch.onnx.export( + self.stage_decoder, + (y, k, v, y_emb, x_example), + f"onnx/{project_name}/{project_name}_t2s_sdec.onnx", + input_names=["iy", "ik", "iv", "iy_emb", "ix_example"], + output_names=["y", "k", "v", "y_emb", "logits", "samples"], + dynamic_axes={ + "iy": [1], + "ik": [1], + "iv": [1], + "iy_emb": [1], + "ix_example": [1], + }, + verbose=True, + opset_version=16 + ) + + +class VitsModel(nn.Module): + def __init__(self, vits_path): + super().__init__() + dict_s2 = torch.load(vits_path,map_location="cpu") + self.hps = dict_s2["config"] + self.hps = DictToAttrRecursive(self.hps) + self.hps.model.semantic_frame_rate = "25hz" + self.vq_model = SynthesizerTrn( + self.hps.data.filter_length // 2 + 1, + self.hps.train.segment_size // self.hps.data.hop_length, + n_speakers=self.hps.data.n_speakers, + **self.hps.model + ) + self.vq_model.eval() + self.vq_model.load_state_dict(dict_s2["weight"], strict=False) + + def forward(self, text_seq, pred_semantic, ref_audio): + refer = spectrogram_torch( + ref_audio, + self.hps.data.filter_length, + self.hps.data.sampling_rate, + self.hps.data.hop_length, + self.hps.data.win_length, + center=False + ) + return self.vq_model(pred_semantic, text_seq, refer)[0, 0] + + +class GptSoVits(nn.Module): + def __init__(self, vits, t2s): + super().__init__() + self.vits = vits + self.t2s = t2s + + def forward(self, ref_seq, text_seq, ref_bert, text_bert, ref_audio, ssl_content): + pred_semantic = self.t2s(ref_seq, text_seq, ref_bert, text_bert, ssl_content) + return self.vits(text_seq, pred_semantic, ref_audio) + + def export(self, ref_seq, text_seq, ref_bert, text_bert, ref_audio, ssl_content, project_name): + self.t2s.export(ref_seq, text_seq, ref_bert, text_bert, ssl_content, project_name) + pred_semantic = self.t2s(ref_seq, text_seq, ref_bert, text_bert, ssl_content) + torch.onnx.export( + self.vits, + (text_seq, pred_semantic, ref_audio), + f"onnx/{project_name}/{project_name}_vits.onnx", + input_names=["text_seq", "pred_semantic", "ref_audio"], + output_names=["audio"], + dynamic_axes={ + "text_seq": [1], + "pred_semantic": [2], + "ref_audio": [1], + }, + opset_version=17 + ) + + +class SSLModel(nn.Module): + def __init__(self): + super().__init__() + self.ssl = ssl_model + + def forward(self, ref_audio_16k): + return self.ssl.model(ref_audio_16k)["last_hidden_state"].transpose(1, 2) + + +def export(vits_path, gpt_path, project_name): + vits = VitsModel(vits_path) + gpt = T2SModel(gpt_path, vits) + gpt_sovits = GptSoVits(vits, gpt) + ssl = SSLModel() + ref_seq = torch.LongTensor([cleaned_text_to_sequence(["n", "i2", "h", "ao3", ",", "w", "o3", "sh", "i4", "b", "ai2", "y", "e4"])]) + text_seq = torch.LongTensor([cleaned_text_to_sequence(["w", "o3", "sh", "i4", "b", "ai2", "y", "e4"])]) + ref_bert = torch.randn((ref_seq.shape[1], 1024)).float() + text_bert = torch.randn((text_seq.shape[1], 1024)).float() + ref_audio = torch.randn((1, 48000 * 5)).float() + # ref_audio = torch.tensor([load_audio("rec.wav", 48000)]).float() + ref_audio_16k = torchaudio.functional.resample(ref_audio,48000,16000).float() + ref_audio_sr = torchaudio.functional.resample(ref_audio,48000,vits.hps.data.sampling_rate).float() + + try: + os.mkdir(f"onnx/{project_name}") + except: + pass + + ssl_content = ssl(ref_audio_16k).float() + + a = gpt_sovits(ref_seq, text_seq, ref_bert, text_bert, ref_audio_sr, ssl_content).detach().cpu().numpy() + + # soundfile.write("out.wav", a, vits.hps.data.sampling_rate) + + gpt_sovits.export(ref_seq, text_seq, ref_bert, text_bert, ref_audio_sr, ssl_content, project_name) + + MoeVSConf = { + "Folder" : f"{project_name}", + "Name" : f"{project_name}", + "Type" : "GPT-SoVits", + "Rate" : vits.hps.data.sampling_rate, + "NumLayers": gpt.t2s_model.num_layers, + "EmbeddingDim": gpt.t2s_model.embedding_dim, + "Dict": "BasicDict", + "BertPath": "chinese-roberta-wwm-ext-large", + "Symbol": symbols, + "AddBlank": False + } + + MoeVSConfJson = json.dumps(MoeVSConf) + with open(f"onnx/{project_name}.json", 'w') as MoeVsConfFile: + json.dump(MoeVSConf, MoeVsConfFile, indent = 4) + + +if __name__ == "__main__": + try: + os.mkdir("onnx") + except: + pass + + gpt_path = "pt_model/koharu-e20.ckpt" + vits_path = "pt_model/koharu_e20_s4960.pth" + exp_path = "koharu" + export(vits_path, gpt_path, exp_path) + + # soundfile.write("out.wav", a, vits.hps.data.sampling_rate) \ No newline at end of file diff --git a/GPT_SoVITS/prepare_datasets/1-get-text.py b/GPT_SoVITS/prepare_datasets/1-get-text.py new file mode 100644 index 0000000000000000000000000000000000000000..88c9d85848ad1e003d39908e2f45faa5cb0604c4 --- /dev/null +++ b/GPT_SoVITS/prepare_datasets/1-get-text.py @@ -0,0 +1,131 @@ +# -*- coding: utf-8 -*- + +import os + +inp_text = os.environ.get("inp_text") +inp_wav_dir = os.environ.get("inp_wav_dir") +exp_name = os.environ.get("exp_name") +i_part = os.environ.get("i_part") +all_parts = os.environ.get("all_parts") +os.environ["CUDA_VISIBLE_DEVICES"] = os.environ.get("_CUDA_VISIBLE_DEVICES") +opt_dir = os.environ.get("opt_dir") +bert_pretrained_dir = os.environ.get("bert_pretrained_dir") +is_half = eval(os.environ.get("is_half", "True")) +import sys, numpy as np, traceback, pdb +import os.path +from glob import glob +from tqdm import tqdm +from text.cleaner import clean_text +import torch +from transformers import AutoModelForMaskedLM, AutoTokenizer +import numpy as np + +# inp_text=sys.argv[1] +# inp_wav_dir=sys.argv[2] +# exp_name=sys.argv[3] +# i_part=sys.argv[4] +# all_parts=sys.argv[5] +# os.environ["CUDA_VISIBLE_DEVICES"]=sys.argv[6]#i_gpu +# opt_dir="/data/docker/liujing04/gpt-vits/fine_tune_dataset/%s"%exp_name +# bert_pretrained_dir="/data/docker/liujing04/bert-vits2/Bert-VITS2-master20231106/bert/chinese-roberta-wwm-ext-large" + +from time import time as ttime +import shutil + + +def my_save(fea, path): #####fix issue: torch.save doesn't support chinese path + dir = os.path.dirname(path) + name = os.path.basename(path) + tmp_path = "%s/%s%s.pth" % (dir, ttime(), i_part) + torch.save(fea, tmp_path) + shutil.move(tmp_path, "%s/%s" % (dir, name)) + + + +txt_path = "%s/2-name2text-%s.txt" % (opt_dir, i_part) +if os.path.exists(txt_path) == False: + bert_dir = "%s/3-bert" % (opt_dir) + os.makedirs(opt_dir, exist_ok=True) + os.makedirs(bert_dir, exist_ok=True) + if torch.cuda.is_available(): + device = "cuda:0" + elif torch.backends.mps.is_available(): + device = "mps" + else: + device = "cpu" + tokenizer = AutoTokenizer.from_pretrained(bert_pretrained_dir) + bert_model = AutoModelForMaskedLM.from_pretrained(bert_pretrained_dir) + if is_half == True: + bert_model = bert_model.half().to(device) + else: + bert_model = bert_model.to(device) + + def get_bert_feature(text, word2ph): + with torch.no_grad(): + inputs = tokenizer(text, return_tensors="pt") + for i in inputs: + inputs[i] = inputs[i].to(device) + res = bert_model(**inputs, output_hidden_states=True) + res = torch.cat(res["hidden_states"][-3:-2], -1)[0].cpu()[1:-1] + + assert len(word2ph) == len(text) + phone_level_feature = [] + for i in range(len(word2ph)): + repeat_feature = res[i].repeat(word2ph[i], 1) + phone_level_feature.append(repeat_feature) + + phone_level_feature = torch.cat(phone_level_feature, dim=0) + + return phone_level_feature.T + + def process(data, res): + for name, text, lan in data: + try: + name = os.path.basename(name) + phones, word2ph, norm_text = clean_text( + text.replace("%", "-").replace("￥", ","), lan + ) + path_bert = "%s/%s.pt" % (bert_dir, name) + if os.path.exists(path_bert) == False and lan == "zh": + bert_feature = get_bert_feature(norm_text, word2ph) + assert bert_feature.shape[-1] == len(phones) + # torch.save(bert_feature, path_bert) + my_save(bert_feature, path_bert) + phones = " ".join(phones) + # res.append([name,phones]) + res.append([name, phones, word2ph, norm_text]) + except: + print(name, text, traceback.format_exc()) + + todo = [] + res = [] + with open(inp_text, "r", encoding="utf8") as f: + lines = f.read().strip("\n").split("\n") + + language_v1_to_language_v2 = { + "ZH": "zh", + "zh": "zh", + "JP": "ja", + "jp": "ja", + "JA": "ja", + "ja": "ja", + "EN": "en", + "en": "en", + "En": "en", + } + for line in lines[int(i_part) :: int(all_parts)]: + try: + wav_name, spk_name, language, text = line.split("|") + # todo.append([name,text,"zh"]) + todo.append( + [wav_name, text, language_v1_to_language_v2.get(language, language)] + ) + except: + print(line, traceback.format_exc()) + + process(todo, res) + opt = [] + for name, phones, word2ph, norm_text in res: + opt.append("%s\t%s\t%s\t%s" % (name, phones, word2ph, norm_text)) + with open(txt_path, "w", encoding="utf8") as f: + f.write("\n".join(opt) + "\n") diff --git a/GPT_SoVITS/prepare_datasets/2-get-hubert-wav32k.py b/GPT_SoVITS/prepare_datasets/2-get-hubert-wav32k.py new file mode 100644 index 0000000000000000000000000000000000000000..26c71b741bc9e5a275367ec6769f415e001d2dd7 --- /dev/null +++ b/GPT_SoVITS/prepare_datasets/2-get-hubert-wav32k.py @@ -0,0 +1,114 @@ +# -*- coding: utf-8 -*- + +import sys,os +inp_text= os.environ.get("inp_text") +inp_wav_dir= os.environ.get("inp_wav_dir") +exp_name= os.environ.get("exp_name") +i_part= os.environ.get("i_part") +all_parts= os.environ.get("all_parts") +os.environ["CUDA_VISIBLE_DEVICES"]= os.environ.get("_CUDA_VISIBLE_DEVICES") +from feature_extractor import cnhubert +opt_dir= os.environ.get("opt_dir") +cnhubert.cnhubert_base_path= os.environ.get("cnhubert_base_dir") +is_half=eval(os.environ.get("is_half","True")) + +import pdb,traceback,numpy as np,logging +from scipy.io import wavfile +import librosa,torch +now_dir = os.getcwd() +sys.path.append(now_dir) +from my_utils import load_audio + +# from config import cnhubert_base_path +# cnhubert.cnhubert_base_path=cnhubert_base_path +# inp_text=sys.argv[1] +# inp_wav_dir=sys.argv[2] +# exp_name=sys.argv[3] +# i_part=sys.argv[4] +# all_parts=sys.argv[5] +# os.environ["CUDA_VISIBLE_DEVICES"]=sys.argv[6] +# cnhubert.cnhubert_base_path=sys.argv[7] +# opt_dir="/data/docker/liujing04/gpt-vits/fine_tune_dataset/%s"%exp_name + +from time import time as ttime +import shutil +def my_save(fea,path):#####fix issue: torch.save doesn't support chinese path + dir=os.path.dirname(path) + name=os.path.basename(path) + tmp_path="%s/%s%s.pth"%(dir,ttime(),i_part) + torch.save(fea,tmp_path) + shutil.move(tmp_path,"%s/%s"%(dir,name)) + +hubert_dir="%s/4-cnhubert"%(opt_dir) +wav32dir="%s/5-wav32k"%(opt_dir) +os.makedirs(opt_dir,exist_ok=True) +os.makedirs(hubert_dir,exist_ok=True) +os.makedirs(wav32dir,exist_ok=True) + +maxx=0.95 +alpha=0.5 +if torch.cuda.is_available(): + device = "cuda:0" +elif torch.backends.mps.is_available(): + device = "mps" +else: + device = "cpu" +model=cnhubert.get_model() +# is_half=False +if(is_half==True): + model=model.half().to(device) +else: + model = model.to(device) + +nan_fails=[] +def name2go(wav_name): + hubert_path="%s/%s.pt"%(hubert_dir,wav_name) + if(os.path.exists(hubert_path)):return + wav_path="%s/%s"%(inp_wav_dir,wav_name) + tmp_audio = load_audio(wav_path, 32000) + tmp_max = np.abs(tmp_audio).max() + if tmp_max > 2.2: + print("%s-filtered" % (wav_name, tmp_max)) + return + tmp_audio32 = (tmp_audio / tmp_max * (maxx * alpha*32768)) + ((1 - alpha)*32768) * tmp_audio + tmp_audio32b = (tmp_audio / tmp_max * (maxx * alpha*1145.14)) + ((1 - alpha)*1145.14) * tmp_audio + tmp_audio = librosa.resample( + tmp_audio32b, orig_sr=32000, target_sr=16000 + )#不是重采样问题 + tensor_wav16 = torch.from_numpy(tmp_audio) + if (is_half == True): + tensor_wav16=tensor_wav16.half().to(device) + else: + tensor_wav16 = tensor_wav16.to(device) + ssl=model.model(tensor_wav16.unsqueeze(0))["last_hidden_state"].transpose(1,2).cpu()#torch.Size([1, 768, 215]) + if np.isnan(ssl.detach().numpy()).sum()!= 0: + nan_fails.append(wav_name) + print("nan filtered:%s"%wav_name) + return + wavfile.write( + "%s/%s"%(wav32dir,wav_name), + 32000, + tmp_audio32.astype("int16"), + ) + my_save(ssl,hubert_path ) + +with open(inp_text,"r",encoding="utf8")as f: + lines=f.read().strip("\n").split("\n") + +for line in lines[int(i_part)::int(all_parts)]: + try: + # wav_name,text=line.split("\t") + wav_name, spk_name, language, text = line.split("|") + wav_name=os.path.basename(wav_name) + name2go(wav_name) + except: + print(line,traceback.format_exc()) + +if(len(nan_fails)>0 and is_half==True): + is_half=False + model=model.float() + for wav_name in nan_fails: + try: + name2go(wav_name) + except: + print(wav_name,traceback.format_exc()) diff --git a/GPT_SoVITS/prepare_datasets/3-get-semantic.py b/GPT_SoVITS/prepare_datasets/3-get-semantic.py new file mode 100644 index 0000000000000000000000000000000000000000..9ab56a4879409b2e25ddd5f6a76acaaefdd28d4f --- /dev/null +++ b/GPT_SoVITS/prepare_datasets/3-get-semantic.py @@ -0,0 +1,95 @@ +import os + +inp_text = os.environ.get("inp_text") +exp_name = os.environ.get("exp_name") +i_part = os.environ.get("i_part") +all_parts = os.environ.get("all_parts") +os.environ["CUDA_VISIBLE_DEVICES"] = os.environ.get("_CUDA_VISIBLE_DEVICES") +opt_dir = os.environ.get("opt_dir") +pretrained_s2G = os.environ.get("pretrained_s2G") +s2config_path = os.environ.get("s2config_path") +is_half = eval(os.environ.get("is_half", "True")) +import math, traceback +import multiprocessing +import sys, pdb + +now_dir = os.getcwd() +sys.path.append(now_dir) +from random import shuffle +import torch.multiprocessing as mp +from glob import glob +from tqdm import tqdm +import logging, librosa, utils, torch +from module.models import SynthesizerTrn + +logging.getLogger("numba").setLevel(logging.WARNING) +# from config import pretrained_s2G + +# inp_text=sys.argv[1] +# exp_name=sys.argv[2] +# i_part=sys.argv[3] +# all_parts=sys.argv[4] +# os.environ["CUDA_VISIBLE_DEVICES"]=sys.argv[5] +# opt_dir="/data/docker/liujing04/gpt-vits/fine_tune_dataset/%s"%exp_name + + +hubert_dir = "%s/4-cnhubert" % (opt_dir) +semantic_path = "%s/6-name2semantic-%s.tsv" % (opt_dir, i_part) +if os.path.exists(semantic_path) == False: + os.makedirs(opt_dir, exist_ok=True) + + if torch.cuda.is_available(): + device = "cuda" + elif torch.backends.mps.is_available(): + device = "mps" + else: + device = "cpu" + hps = utils.get_hparams_from_file(s2config_path) + vq_model = SynthesizerTrn( + hps.data.filter_length // 2 + 1, + hps.train.segment_size // hps.data.hop_length, + n_speakers=hps.data.n_speakers, + **hps.model + ) + if is_half == True: + vq_model = vq_model.half().to(device) + else: + vq_model = vq_model.to(device) + vq_model.eval() + # utils.load_checkpoint(utils.latest_checkpoint_path(hps.s2_ckpt_dir, "G_*.pth"), vq_model, None, True) + # utils.load_checkpoint(pretrained_s2G, vq_model, None, True) + print( + vq_model.load_state_dict( + torch.load(pretrained_s2G, map_location="cpu")["weight"], strict=False + ) + ) + + def name2go(wav_name, lines): + hubert_path = "%s/%s.pt" % (hubert_dir, wav_name) + if os.path.exists(hubert_path) == False: + return + ssl_content = torch.load(hubert_path, map_location="cpu") + if is_half == True: + ssl_content = ssl_content.half().to(device) + else: + ssl_content = ssl_content.to(device) + codes = vq_model.extract_latent(ssl_content) + semantic = " ".join([str(i) for i in codes[0, 0, :].tolist()]) + lines.append("%s\t%s" % (wav_name, semantic)) + + with open(inp_text, "r", encoding="utf8") as f: + lines = f.read().strip("\n").split("\n") + + lines1 = [] + for line in lines[int(i_part) :: int(all_parts)]: + # print(line) + try: + # wav_name,text=line.split("\t") + wav_name, spk_name, language, text = line.split("|") + wav_name = os.path.basename(wav_name) + # name2go(name,lines1) + name2go(wav_name, lines1) + except: + print(line, traceback.format_exc()) + with open(semantic_path, "w", encoding="utf8") as f: + f.write("\n".join(lines1)) diff --git a/GPT_SoVITS/pretrained_models/README.md b/GPT_SoVITS/pretrained_models/README.md new file mode 100644 index 0000000000000000000000000000000000000000..adaf88694058b3a500839f032907f9a480f63431 --- /dev/null +++ b/GPT_SoVITS/pretrained_models/README.md @@ -0,0 +1,4 @@ +--- +license: mit +--- +pretrained models used in https://github.com/RVC-Boss/GPT-SoVITS \ No newline at end of file diff --git a/GPT_SoVITS/pretrained_models/chinese-hubert-base/config.json b/GPT_SoVITS/pretrained_models/chinese-hubert-base/config.json new file mode 100644 index 0000000000000000000000000000000000000000..0bb839d4b0cd2ad41cb13c6500fd660800aaefdf --- /dev/null +++ b/GPT_SoVITS/pretrained_models/chinese-hubert-base/config.json @@ -0,0 +1,72 @@ +{ + "_name_or_path": "/data/docker/liujing04/gpt-vits/chinese-hubert-base", + "activation_dropout": 0.1, + "apply_spec_augment": true, + "architectures": [ + "HubertModel" + ], + "attention_dropout": 0.1, + "bos_token_id": 1, + "classifier_proj_size": 256, + "conv_bias": false, + "conv_dim": [ + 512, + 512, + 512, + 512, + 512, + 512, + 512 + ], + "conv_kernel": [ + 10, + 3, + 3, + 3, + 3, + 2, + 2 + ], + "conv_stride": [ + 5, + 2, + 2, + 2, + 2, + 2, + 2 + ], + "ctc_loss_reduction": "sum", + "ctc_zero_infinity": false, + "do_stable_layer_norm": false, + "eos_token_id": 2, + "feat_extract_activation": "gelu", + "feat_extract_norm": "group", + "feat_proj_dropout": 0.0, + "feat_proj_layer_norm": true, + "final_dropout": 0.1, + "hidden_act": "gelu", + "hidden_dropout": 0.1, + "hidden_size": 768, + "initializer_range": 0.02, + "intermediate_size": 3072, + "layer_norm_eps": 1e-05, + "layerdrop": 0.1, + "mask_feature_length": 10, + "mask_feature_min_masks": 0, + "mask_feature_prob": 0.0, + "mask_time_length": 10, + "mask_time_min_masks": 2, + "mask_time_prob": 0.05, + "model_type": "hubert", + "num_attention_heads": 12, + "num_conv_pos_embedding_groups": 16, + "num_conv_pos_embeddings": 128, + "num_feat_extract_layers": 7, + "num_hidden_layers": 12, + "pad_token_id": 0, + "torch_dtype": "float16", + "transformers_version": "4.30.2", + "use_weighted_layer_sum": false, + "vocab_size": 32 +} diff --git a/GPT_SoVITS/pretrained_models/chinese-hubert-base/preprocessor_config.json b/GPT_SoVITS/pretrained_models/chinese-hubert-base/preprocessor_config.json new file mode 100644 index 0000000000000000000000000000000000000000..409547bbb99588f69a603019a707505610fa38d3 --- /dev/null +++ b/GPT_SoVITS/pretrained_models/chinese-hubert-base/preprocessor_config.json @@ -0,0 +1,9 @@ +{ + "do_normalize": true, + "feature_extractor_type": "Wav2Vec2FeatureExtractor", + "feature_size": 1, + "padding_side": "right", + "padding_value": 0, + "return_attention_mask": false, + "sampling_rate": 16000 +} \ No newline at end of file diff --git a/GPT_SoVITS/pretrained_models/chinese-hubert-base/pytorch_model.bin b/GPT_SoVITS/pretrained_models/chinese-hubert-base/pytorch_model.bin new file mode 100644 index 0000000000000000000000000000000000000000..a73dedefbc10383bc70e289fe0897d2157c6f66b --- /dev/null +++ b/GPT_SoVITS/pretrained_models/chinese-hubert-base/pytorch_model.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:24164f129c66499d1346e2aa55f183250c223161ec2770c0da3d3b08cf432d3c +size 188811417 diff --git 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diff --git a/GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt b/GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..83b22408d0d3edd38eef2224a01b2c72a3f50a0b --- /dev/null +++ b/GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b1c1e17e9c99547a89388f72048cd6e1b41b5a18b170e86a46dfde0324d63eb1 +size 155093966 diff --git a/GPT_SoVITS/pretrained_models/s2D488k.pth b/GPT_SoVITS/pretrained_models/s2D488k.pth new file mode 100644 index 0000000000000000000000000000000000000000..c26cd041ef0b596089a0aedaf56ab446ed097374 --- /dev/null +++ b/GPT_SoVITS/pretrained_models/s2D488k.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fc579c1db3c1e21b721001cf99d7a584214280df19b002e200b630a34fa06eb8 +size 93533667 diff --git a/GPT_SoVITS/pretrained_models/s2G488k.pth b/GPT_SoVITS/pretrained_models/s2G488k.pth new file mode 100644 index 0000000000000000000000000000000000000000..a63e37a8755ad141ba68db9ef0109bf36ec020c4 --- /dev/null +++ b/GPT_SoVITS/pretrained_models/s2G488k.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:020a014e1e01e550e510f2f61fae5e5f5b6aab40f15c22f1f12f724df507e835 +size 105973721 diff --git a/GPT_SoVITS/process_ckpt.py b/GPT_SoVITS/process_ckpt.py new file mode 100644 index 0000000000000000000000000000000000000000..7483337911edef1fec891e413a1f6430d754ca0b --- /dev/null +++ b/GPT_SoVITS/process_ckpt.py @@ -0,0 +1,23 @@ +import traceback +from collections import OrderedDict + +import torch +from tools.i18n.i18n import I18nAuto + +i18n = I18nAuto() + + +def savee(ckpt, name, epoch, steps, hps): + try: + opt = OrderedDict() + opt["weight"] = {} + for key in ckpt.keys(): + if "enc_q" in key: + continue + opt["weight"][key] = ckpt[key].half() + opt["config"] = hps + opt["info"] = "%sepoch_%siteration" % (epoch, steps) + torch.save(opt, "%s/%s.pth" % (hps.save_weight_dir, name)) + return "Success." + except: + return traceback.format_exc() diff --git a/GPT_SoVITS/s1_train.py b/GPT_SoVITS/s1_train.py new file mode 100644 index 0000000000000000000000000000000000000000..3bbfdfb3a46473f11e2e1d87e5c91ac0e3b42a7f --- /dev/null +++ b/GPT_SoVITS/s1_train.py @@ -0,0 +1,170 @@ +# modified from https://github.com/feng-yufei/shared_debugging_code/blob/main/train_t2s.py +import os +import pdb + +if "_CUDA_VISIBLE_DEVICES" in os.environ: + os.environ["CUDA_VISIBLE_DEVICES"] = os.environ["_CUDA_VISIBLE_DEVICES"] +import argparse +import logging +from pathlib import Path + +import torch, platform +from pytorch_lightning import seed_everything +from pytorch_lightning import Trainer +from pytorch_lightning.callbacks import ModelCheckpoint +from pytorch_lightning.loggers import TensorBoardLogger # WandbLogger +from pytorch_lightning.strategies import DDPStrategy +from AR.data.data_module import Text2SemanticDataModule +from AR.models.t2s_lightning_module import Text2SemanticLightningModule +from AR.utils.io import load_yaml_config + +logging.getLogger("numba").setLevel(logging.WARNING) +logging.getLogger("matplotlib").setLevel(logging.WARNING) +torch.set_float32_matmul_precision("high") +from AR.utils import get_newest_ckpt + +from collections import OrderedDict + + +class my_model_ckpt(ModelCheckpoint): + def __init__( + self, + config, + if_save_latest, + if_save_every_weights, + half_weights_save_dir, + exp_name, + **kwargs + ): + super().__init__(**kwargs) + self.if_save_latest = if_save_latest + self.if_save_every_weights = if_save_every_weights + self.half_weights_save_dir = half_weights_save_dir + self.exp_name = exp_name + self.config = config + + def on_train_epoch_end(self, trainer, pl_module): + # if not self._should_skip_saving_checkpoint(trainer) and self._should_save_on_train_epoch_end(trainer): + if self._should_save_on_train_epoch_end(trainer): + monitor_candidates = self._monitor_candidates(trainer) + if ( + self._every_n_epochs >= 1 + and (trainer.current_epoch + 1) % self._every_n_epochs == 0 + ): + if ( + self.if_save_latest == True + ): ####如果设置只保存最后一个ckpt，在保存下一个ckpt后要清理掉之前的所有ckpt + to_clean = list(os.listdir(self.dirpath)) + self._save_topk_checkpoint(trainer, monitor_candidates) + if self.if_save_latest == True: + for name in to_clean: + try: + os.remove("%s/%s" % (self.dirpath, name)) + except: + pass + if self.if_save_every_weights == True: + to_save_od = OrderedDict() + to_save_od["weight"] = OrderedDict() + dictt = trainer.strategy._lightning_module.state_dict() + for key in dictt: + to_save_od["weight"][key] = dictt[key].half() + to_save_od["config"] = self.config + to_save_od["info"] = "GPT-e%s" % (trainer.current_epoch + 1) + torch.save( + to_save_od, + "%s/%s-e%s.ckpt" + % ( + self.half_weights_save_dir, + self.exp_name, + trainer.current_epoch + 1, + ), + ) + self._save_last_checkpoint(trainer, monitor_candidates) + + +def main(args): + config = load_yaml_config(args.config_file) + + output_dir = Path(config["output_dir"]) + output_dir.mkdir(parents=True, exist_ok=True) + + ckpt_dir = output_dir / "ckpt" + ckpt_dir.mkdir(parents=True, exist_ok=True) + + seed_everything(config["train"]["seed"], workers=True) + ckpt_callback: ModelCheckpoint = my_model_ckpt( + config=config, + if_save_latest=config["train"]["if_save_latest"], + if_save_every_weights=config["train"]["if_save_every_weights"], + half_weights_save_dir=config["train"]["half_weights_save_dir"], + exp_name=config["train"]["exp_name"], + save_top_k=-1, + monitor="top_3_acc", + mode="max", + save_on_train_epoch_end=True, + every_n_epochs=config["train"]["save_every_n_epoch"], + dirpath=ckpt_dir, + ) + logger = TensorBoardLogger(name=output_dir.stem, save_dir=output_dir) + trainer: Trainer = Trainer( + max_epochs=config["train"]["epochs"], + accelerator="gpu", + # val_check_interval=9999999999999999999999,###不要验证 + # check_val_every_n_epoch=None, + limit_val_batches=0, + devices=-1, + benchmark=False, + fast_dev_run=False, + strategy = "auto" if torch.backends.mps.is_available() else DDPStrategy( + process_group_backend="nccl" if platform.system() != "Windows" else "gloo" + ), # mps 不支持多节点训练 + precision=config["train"]["precision"], + logger=logger, + num_sanity_val_steps=0, + callbacks=[ckpt_callback], + ) + + model: Text2SemanticLightningModule = Text2SemanticLightningModule( + config, output_dir + ) + + data_module: Text2SemanticDataModule = Text2SemanticDataModule( + config, + train_semantic_path=config["train_semantic_path"], + train_phoneme_path=config["train_phoneme_path"], + # dev_semantic_path=args.dev_semantic_path, + # dev_phoneme_path=args.dev_phoneme_path + ) + + try: + # 使用正则表达式匹配文件名中的数字部分，并按数字大小进行排序 + newest_ckpt_name = get_newest_ckpt(os.listdir(ckpt_dir)) + ckpt_path = ckpt_dir / newest_ckpt_name + except Exception: + ckpt_path = None + print("ckpt_path:", ckpt_path) + trainer.fit(model, data_module, ckpt_path=ckpt_path) + + +# srun --gpus-per-node=1 --ntasks-per-node=1 python train.py --path-to-configuration configurations/default.yaml +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument( + "-c", + "--config_file", + type=str, + default="configs/s1longer.yaml", + help="path of config file", + ) + # args for dataset + # parser.add_argument('--train_semantic_path',type=str,default='/data/docker/liujing04/gpt-vits/fine_tune_dataset/xuangou/6-name2semantic.tsv') + # parser.add_argument('--train_phoneme_path', type=str, default='/data/docker/liujing04/gpt-vits/fine_tune_dataset/xuangou/2-name2text.txt') + + # parser.add_argument('--dev_semantic_path', type=str, default='dump_mix/semantic_dev.tsv') + # parser.add_argument('--dev_phoneme_path', type=str, default='dump_mix/phoneme_dev.npy') + # parser.add_argument('--output_dir',type=str,default='/data/docker/liujing04/gpt-vits/fine_tune_dataset/xuangou/logs_s1',help='directory to save the results') + # parser.add_argument('--output_dir',type=str,default='/liujing04/gpt_logs/s1/xuangou_ft',help='directory to save the results') + + args = parser.parse_args() + logging.info(str(args)) + main(args) diff --git a/GPT_SoVITS/s2_train.py b/GPT_SoVITS/s2_train.py new file mode 100644 index 0000000000000000000000000000000000000000..e6b64f6b5cc369f58308ec1f73ad26fc98926008 --- /dev/null +++ b/GPT_SoVITS/s2_train.py @@ -0,0 +1,600 @@ +import utils, os + +hps = utils.get_hparams(stage=2) +os.environ["CUDA_VISIBLE_DEVICES"] = hps.train.gpu_numbers.replace("-", ",") +import torch +from torch.nn import functional as F +from torch.utils.data import DataLoader +from torch.utils.tensorboard import SummaryWriter +import torch.multiprocessing as mp +import torch.distributed as dist, traceback +from torch.nn.parallel import DistributedDataParallel as DDP +from torch.cuda.amp import autocast, GradScaler +from tqdm import tqdm +import logging, traceback + +logging.getLogger("matplotlib").setLevel(logging.INFO) +logging.getLogger("h5py").setLevel(logging.INFO) +logging.getLogger("numba").setLevel(logging.INFO) +from random import randint +from module import commons + +from module.data_utils import ( + TextAudioSpeakerLoader, + TextAudioSpeakerCollate, + DistributedBucketSampler, +) +from module.models import ( + SynthesizerTrn, + MultiPeriodDiscriminator, +) +from module.losses import generator_loss, discriminator_loss, feature_loss, kl_loss +from module.mel_processing import mel_spectrogram_torch, spec_to_mel_torch +from process_ckpt import savee + +torch.backends.cudnn.benchmark = False +torch.backends.cudnn.deterministic = False +###反正A100fp32更快，那试试tf32吧 +torch.backends.cuda.matmul.allow_tf32 = True +torch.backends.cudnn.allow_tf32 = True +torch.set_float32_matmul_precision("medium") # 最低精度但最快（也就快一丁点），对于结果造成不了影响 +# from config import pretrained_s2G,pretrained_s2D +global_step = 0 + + +def main(): + """Assume Single Node Multi GPUs Training Only""" + assert torch.cuda.is_available() or torch.backends.mps.is_available(), "Only GPU training is allowed." + + if torch.backends.mps.is_available(): + n_gpus = 1 + else: + n_gpus = torch.cuda.device_count() + os.environ["MASTER_ADDR"] = "localhost" + os.environ["MASTER_PORT"] = str(randint(20000, 55555)) + + mp.spawn( + run, + nprocs=n_gpus, + args=( + n_gpus, + hps, + ), + ) + + +def run(rank, n_gpus, hps): + global global_step + if rank == 0: + logger = utils.get_logger(hps.data.exp_dir) + logger.info(hps) + # utils.check_git_hash(hps.s2_ckpt_dir) + writer = SummaryWriter(log_dir=hps.s2_ckpt_dir) + writer_eval = SummaryWriter(log_dir=os.path.join(hps.s2_ckpt_dir, "eval")) + + dist.init_process_group( + backend = "gloo" if os.name == "nt" or torch.backends.mps.is_available() else "nccl", + init_method="env://", + world_size=n_gpus, + rank=rank, + ) + torch.manual_seed(hps.train.seed) + if torch.cuda.is_available(): + torch.cuda.set_device(rank) + + train_dataset = TextAudioSpeakerLoader(hps.data) ######## + train_sampler = DistributedBucketSampler( + train_dataset, + hps.train.batch_size, + [ + 32, + 300, + 400, + 500, + 600, + 700, + 800, + 900, + 1000, + 1100, + 1200, + 1300, + 1400, + 1500, + 1600, + 1700, + 1800, + 1900, + ], + num_replicas=n_gpus, + rank=rank, + shuffle=True, + ) + collate_fn = TextAudioSpeakerCollate() + train_loader = DataLoader( + train_dataset, + num_workers=6, + shuffle=False, + pin_memory=True, + collate_fn=collate_fn, + batch_sampler=train_sampler, + persistent_workers=True, + prefetch_factor=16, + ) + # if rank == 0: + # eval_dataset = TextAudioSpeakerLoader(hps.data.validation_files, hps.data, val=True) + # eval_loader = DataLoader(eval_dataset, num_workers=0, shuffle=False, + # batch_size=1, pin_memory=True, + # drop_last=False, collate_fn=collate_fn) + + net_g = SynthesizerTrn( + hps.data.filter_length // 2 + 1, + hps.train.segment_size // hps.data.hop_length, + n_speakers=hps.data.n_speakers, + **hps.model, + ).cuda(rank) if torch.cuda.is_available() else SynthesizerTrn( + hps.data.filter_length // 2 + 1, + hps.train.segment_size // hps.data.hop_length, + n_speakers=hps.data.n_speakers, + **hps.model, + ).to("mps") + + net_d = MultiPeriodDiscriminator(hps.model.use_spectral_norm).cuda(rank) if torch.cuda.is_available() else MultiPeriodDiscriminator(hps.model.use_spectral_norm).to("mps") + for name, param in net_g.named_parameters(): + if not param.requires_grad: + print(name, "not requires_grad") + + te_p = list(map(id, net_g.enc_p.text_embedding.parameters())) + et_p = list(map(id, net_g.enc_p.encoder_text.parameters())) + mrte_p = list(map(id, net_g.enc_p.mrte.parameters())) + base_params = filter( + lambda p: id(p) not in te_p + et_p + mrte_p and p.requires_grad, + net_g.parameters(), + ) + + # te_p=net_g.enc_p.text_embedding.parameters() + # et_p=net_g.enc_p.encoder_text.parameters() + # mrte_p=net_g.enc_p.mrte.parameters() + + optim_g = torch.optim.AdamW( + # filter(lambda p: p.requires_grad, net_g.parameters()),###默认所有层lr一致 + [ + {"params": base_params, "lr": hps.train.learning_rate}, + { + "params": net_g.enc_p.text_embedding.parameters(), + "lr": hps.train.learning_rate * hps.train.text_low_lr_rate, + }, + { + "params": net_g.enc_p.encoder_text.parameters(), + "lr": hps.train.learning_rate * hps.train.text_low_lr_rate, + }, + { + "params": net_g.enc_p.mrte.parameters(), + "lr": hps.train.learning_rate * hps.train.text_low_lr_rate, + }, + ], + hps.train.learning_rate, + betas=hps.train.betas, + eps=hps.train.eps, + ) + optim_d = torch.optim.AdamW( + net_d.parameters(), + hps.train.learning_rate, + betas=hps.train.betas, + eps=hps.train.eps, + ) + if torch.cuda.is_available(): + net_g = DDP(net_g, device_ids=[rank], find_unused_parameters=True) + net_d = DDP(net_d, device_ids=[rank], find_unused_parameters=True) + else: + net_g = net_g.to("mps") + net_d = net_d.to("mps") + + try: # 如果能加载自动resume + _, _, _, epoch_str = utils.load_checkpoint( + utils.latest_checkpoint_path("%s/logs_s2" % hps.data.exp_dir, "D_*.pth"), + net_d, + optim_d, + ) # D多半加载没事 + if rank == 0: + logger.info("loaded D") + # _, _, _, epoch_str = utils.load_checkpoint(utils.latest_checkpoint_path(hps.model_dir, "G_*.pth"), net_g, optim_g,load_opt=0) + _, _, _, epoch_str = utils.load_checkpoint( + utils.latest_checkpoint_path("%s/logs_s2" % hps.data.exp_dir, "G_*.pth"), + net_g, + optim_g, + ) + global_step = (epoch_str - 1) * len(train_loader) + # epoch_str = 1 + # global_step = 0 + except: # 如果首次不能加载，加载pretrain + # traceback.print_exc() + epoch_str = 1 + global_step = 0 + if hps.train.pretrained_s2G != "": + if rank == 0: + logger.info("loaded pretrained %s" % hps.train.pretrained_s2G) + print( + net_g.module.load_state_dict( + torch.load(hps.train.pretrained_s2G, map_location="cpu")["weight"], + strict=False, + ) if torch.cuda.is_available() else net_g.load_state_dict( + torch.load(hps.train.pretrained_s2G, map_location="cpu")["weight"], + strict=False, + ) + ) ##测试不加载优化器 + if hps.train.pretrained_s2D != "": + if rank == 0: + logger.info("loaded pretrained %s" % hps.train.pretrained_s2D) + print( + net_d.module.load_state_dict( + torch.load(hps.train.pretrained_s2D, map_location="cpu")["weight"] + ) if torch.cuda.is_available() else net_d.load_state_dict( + torch.load(hps.train.pretrained_s2D, map_location="cpu")["weight"] + ) + ) + + # scheduler_g = torch.optim.lr_scheduler.ExponentialLR(optim_g, gamma=hps.train.lr_decay, last_epoch=epoch_str - 2) + # scheduler_d = torch.optim.lr_scheduler.ExponentialLR(optim_d, gamma=hps.train.lr_decay, last_epoch=epoch_str - 2) + + scheduler_g = torch.optim.lr_scheduler.ExponentialLR( + optim_g, gamma=hps.train.lr_decay, last_epoch=-1 + ) + scheduler_d = torch.optim.lr_scheduler.ExponentialLR( + optim_d, gamma=hps.train.lr_decay, last_epoch=-1 + ) + for _ in range(epoch_str): + scheduler_g.step() + scheduler_d.step() + + scaler = GradScaler(enabled=hps.train.fp16_run) + + for epoch in range(epoch_str, hps.train.epochs + 1): + if rank == 0: + train_and_evaluate( + rank, + epoch, + hps, + [net_g, net_d], + [optim_g, optim_d], + [scheduler_g, scheduler_d], + scaler, + # [train_loader, eval_loader], logger, [writer, writer_eval]) + [train_loader, None], + logger, + [writer, writer_eval], + ) + else: + train_and_evaluate( + rank, + epoch, + hps, + [net_g, net_d], + [optim_g, optim_d], + [scheduler_g, scheduler_d], + scaler, + [train_loader, None], + None, + None, + ) + scheduler_g.step() + scheduler_d.step() + + +def train_and_evaluate( + rank, epoch, hps, nets, optims, schedulers, scaler, loaders, logger, writers +): + net_g, net_d = nets + optim_g, optim_d = optims + # scheduler_g, scheduler_d = schedulers + train_loader, eval_loader = loaders + if writers is not None: + writer, writer_eval = writers + + train_loader.batch_sampler.set_epoch(epoch) + global global_step + + net_g.train() + net_d.train() + for batch_idx, ( + ssl, + ssl_lengths, + spec, + spec_lengths, + y, + y_lengths, + text, + text_lengths, + ) in tqdm(enumerate(train_loader)): + if torch.cuda.is_available(): + spec, spec_lengths = spec.cuda(rank, non_blocking=True), spec_lengths.cuda( + rank, non_blocking=True + ) + y, y_lengths = y.cuda(rank, non_blocking=True), y_lengths.cuda( + rank, non_blocking=True + ) + ssl = ssl.cuda(rank, non_blocking=True) + ssl.requires_grad = False + # ssl_lengths = ssl_lengths.cuda(rank, non_blocking=True) + text, text_lengths = text.cuda(rank, non_blocking=True), text_lengths.cuda( + rank, non_blocking=True + ) + else: + spec, spec_lengths = spec.to("mps"), spec_lengths.to("mps") + y, y_lengths = y.to("mps"), y_lengths.to("mps") + ssl = ssl.to("mps") + ssl.requires_grad = False + # ssl_lengths = ssl_lengths.cuda(rank, non_blocking=True) + text, text_lengths = text.to("mps"), text_lengths.to("mps") + + with autocast(enabled=hps.train.fp16_run): + ( + y_hat, + kl_ssl, + ids_slice, + x_mask, + z_mask, + (z, z_p, m_p, logs_p, m_q, logs_q), + stats_ssl, + ) = net_g(ssl, spec, spec_lengths, text, text_lengths) + + mel = spec_to_mel_torch( + spec, + hps.data.filter_length, + hps.data.n_mel_channels, + hps.data.sampling_rate, + hps.data.mel_fmin, + hps.data.mel_fmax, + ) + y_mel = commons.slice_segments( + mel, ids_slice, hps.train.segment_size // hps.data.hop_length + ) + y_hat_mel = mel_spectrogram_torch( + y_hat.squeeze(1), + hps.data.filter_length, + hps.data.n_mel_channels, + hps.data.sampling_rate, + hps.data.hop_length, + hps.data.win_length, + hps.data.mel_fmin, + hps.data.mel_fmax, + ) + + y = commons.slice_segments( + y, ids_slice * hps.data.hop_length, hps.train.segment_size + ) # slice + + # Discriminator + y_d_hat_r, y_d_hat_g, _, _ = net_d(y, y_hat.detach()) + with autocast(enabled=False): + loss_disc, losses_disc_r, losses_disc_g = discriminator_loss( + y_d_hat_r, y_d_hat_g + ) + loss_disc_all = loss_disc + optim_d.zero_grad() + scaler.scale(loss_disc_all).backward() + scaler.unscale_(optim_d) + grad_norm_d = commons.clip_grad_value_(net_d.parameters(), None) + scaler.step(optim_d) + + with autocast(enabled=hps.train.fp16_run): + # Generator + y_d_hat_r, y_d_hat_g, fmap_r, fmap_g = net_d(y, y_hat) + with autocast(enabled=False): + loss_mel = F.l1_loss(y_mel, y_hat_mel) * hps.train.c_mel + loss_kl = kl_loss(z_p, logs_q, m_p, logs_p, z_mask) * hps.train.c_kl + + loss_fm = feature_loss(fmap_r, fmap_g) + loss_gen, losses_gen = generator_loss(y_d_hat_g) + loss_gen_all = loss_gen + loss_fm + loss_mel + kl_ssl * 1 + loss_kl + + optim_g.zero_grad() + scaler.scale(loss_gen_all).backward() + scaler.unscale_(optim_g) + grad_norm_g = commons.clip_grad_value_(net_g.parameters(), None) + scaler.step(optim_g) + scaler.update() + + if rank == 0: + if global_step % hps.train.log_interval == 0: + lr = optim_g.param_groups[0]["lr"] + losses = [loss_disc, loss_gen, loss_fm, loss_mel, kl_ssl, loss_kl] + logger.info( + "Train Epoch: {} [{:.0f}%]".format( + epoch, 100.0 * batch_idx / len(train_loader) + ) + ) + logger.info([x.item() for x in losses] + [global_step, lr]) + + scalar_dict = { + "loss/g/total": loss_gen_all, + "loss/d/total": loss_disc_all, + "learning_rate": lr, + "grad_norm_d": grad_norm_d, + "grad_norm_g": grad_norm_g, + } + scalar_dict.update( + { + "loss/g/fm": loss_fm, + "loss/g/mel": loss_mel, + "loss/g/kl_ssl": kl_ssl, + "loss/g/kl": loss_kl, + } + ) + + # scalar_dict.update({"loss/g/{}".format(i): v for i, v in enumerate(losses_gen)}) + # scalar_dict.update({"loss/d_r/{}".format(i): v for i, v in enumerate(losses_disc_r)}) + # scalar_dict.update({"loss/d_g/{}".format(i): v for i, v in enumerate(losses_disc_g)}) + image_dict = { + "slice/mel_org": utils.plot_spectrogram_to_numpy( + y_mel[0].data.cpu().numpy() + ), + "slice/mel_gen": utils.plot_spectrogram_to_numpy( + y_hat_mel[0].data.cpu().numpy() + ), + "all/mel": utils.plot_spectrogram_to_numpy( + mel[0].data.cpu().numpy() + ), + "all/stats_ssl": utils.plot_spectrogram_to_numpy( + stats_ssl[0].data.cpu().numpy() + ), + } + utils.summarize( + writer=writer, + global_step=global_step, + images=image_dict, + scalars=scalar_dict, + ) + global_step += 1 + if epoch % hps.train.save_every_epoch == 0 and rank == 0: + if hps.train.if_save_latest == 0: + utils.save_checkpoint( + net_g, + optim_g, + hps.train.learning_rate, + epoch, + os.path.join( + "%s/logs_s2" % hps.data.exp_dir, "G_{}.pth".format(global_step) + ), + ) + utils.save_checkpoint( + net_d, + optim_d, + hps.train.learning_rate, + epoch, + os.path.join( + "%s/logs_s2" % hps.data.exp_dir, "D_{}.pth".format(global_step) + ), + ) + else: + utils.save_checkpoint( + net_g, + optim_g, + hps.train.learning_rate, + epoch, + os.path.join( + "%s/logs_s2" % hps.data.exp_dir, "G_{}.pth".format(233333333333) + ), + ) + utils.save_checkpoint( + net_d, + optim_d, + hps.train.learning_rate, + epoch, + os.path.join( + "%s/logs_s2" % hps.data.exp_dir, "D_{}.pth".format(233333333333) + ), + ) + if rank == 0 and hps.train.if_save_every_weights == True: + if hasattr(net_g, "module"): + ckpt = net_g.module.state_dict() + else: + ckpt = net_g.state_dict() + logger.info( + "saving ckpt %s_e%s:%s" + % ( + hps.name, + epoch, + savee( + ckpt, + hps.name + "_e%s_s%s" % (epoch, global_step), + epoch, + global_step, + hps, + ), + ) + ) + + if rank == 0: + logger.info("====> Epoch: {}".format(epoch)) + + +def evaluate(hps, generator, eval_loader, writer_eval): + generator.eval() + image_dict = {} + audio_dict = {} + print("Evaluating ...") + with torch.no_grad(): + for batch_idx, ( + ssl, + ssl_lengths, + spec, + spec_lengths, + y, + y_lengths, + text, + text_lengths, + ) in enumerate(eval_loader): + print(111) + if torch.cuda.is_available(): + spec, spec_lengths = spec.cuda(), spec_lengths.cuda() + y, y_lengths = y.cuda(), y_lengths.cuda() + ssl = ssl.cuda() + text, text_lengths = text.cuda(), text_lengths.cuda() + else: + spec, spec_lengths = spec.to("mps"), spec_lengths.to("mps") + y, y_lengths = y.to("mps"), y_lengths.to("mps") + ssl = ssl.to("mps") + text, text_lengths = text.to("mps"), text_lengths.to("mps") + for test in [0, 1]: + y_hat, mask, *_ = generator.module.infer( + ssl, spec, spec_lengths, text, text_lengths, test=test + ) if torch.cuda.is_available() else generator.infer( + ssl, spec, spec_lengths, text, text_lengths, test=test + ) + y_hat_lengths = mask.sum([1, 2]).long() * hps.data.hop_length + + mel = spec_to_mel_torch( + spec, + hps.data.filter_length, + hps.data.n_mel_channels, + hps.data.sampling_rate, + hps.data.mel_fmin, + hps.data.mel_fmax, + ) + y_hat_mel = mel_spectrogram_torch( + y_hat.squeeze(1).float(), + hps.data.filter_length, + hps.data.n_mel_channels, + hps.data.sampling_rate, + hps.data.hop_length, + hps.data.win_length, + hps.data.mel_fmin, + hps.data.mel_fmax, + ) + image_dict.update( + { + f"gen/mel_{batch_idx}_{test}": utils.plot_spectrogram_to_numpy( + y_hat_mel[0].cpu().numpy() + ) + } + ) + audio_dict.update( + {f"gen/audio_{batch_idx}_{test}": y_hat[0, :, : y_hat_lengths[0]]} + ) + image_dict.update( + { + f"gt/mel_{batch_idx}": utils.plot_spectrogram_to_numpy( + mel[0].cpu().numpy() + ) + } + ) + audio_dict.update({f"gt/audio_{batch_idx}": y[0, :, : y_lengths[0]]}) + + # y_hat, mask, *_ = generator.module.infer(ssl, spec_lengths, speakers, y=None) + # audio_dict.update({ + # f"gen/audio_{batch_idx}_style_pred": y_hat[0, :, :] + # }) + + utils.summarize( + writer=writer_eval, + global_step=global_step, + images=image_dict, + audios=audio_dict, + audio_sampling_rate=hps.data.sampling_rate, + ) + generator.train() + + +if __name__ == "__main__": + main() diff --git a/GPT_SoVITS/text/__init__.py b/GPT_SoVITS/text/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..a48b9a49a39bdae1801d94a15db645154d6a68d1 --- /dev/null +++ b/GPT_SoVITS/text/__init__.py @@ -0,0 +1,15 @@ +from text.symbols import * + + +_symbol_to_id = {s: i for i, s in enumerate(symbols)} + +def cleaned_text_to_sequence(cleaned_text): + '''Converts a string of text to a sequence of IDs corresponding to the symbols in the text. + Args: + text: string to convert to a sequence + Returns: + List of integers corresponding to the symbols in the text + ''' + phones = [_symbol_to_id[symbol] for symbol in cleaned_text] + return phones + diff --git a/GPT_SoVITS/text/chinese.py b/GPT_SoVITS/text/chinese.py new file mode 100644 index 0000000000000000000000000000000000000000..ea41db1f99ee056d00ef4f89fb3ed7f316fb0fc3 --- /dev/null +++ b/GPT_SoVITS/text/chinese.py @@ -0,0 +1,172 @@ +import os +import pdb +import re + +import cn2an +from pypinyin import lazy_pinyin, Style + +from text.symbols import punctuation +from text.tone_sandhi import ToneSandhi +from text.zh_normalization.text_normlization import TextNormalizer + +normalizer = lambda x: cn2an.transform(x, "an2cn") + +current_file_path = os.path.dirname(__file__) +pinyin_to_symbol_map = { + line.split("\t")[0]: line.strip().split("\t")[1] + for line in open(os.path.join(current_file_path, "opencpop-strict.txt")).readlines() +} + +import jieba_fast.posseg as psg + + +rep_map = { + "：": ",", + "；": ",", + "，": ",", + "。": ".", + "！": "!", + "？": "?", + "\n": ".", + "·": ",", + "、": ",", + "...": "…", + "$": ".", + "/": ",", + "—": "-", +} + +tone_modifier = ToneSandhi() + + +def replace_punctuation(text): + text = text.replace("嗯", "恩").replace("呣", "母") + pattern = re.compile("|".join(re.escape(p) for p in rep_map.keys())) + + replaced_text = pattern.sub(lambda x: rep_map[x.group()], text) + + replaced_text = re.sub( + r"[^\u4e00-\u9fa5" + "".join(punctuation) + r"]+", "", replaced_text + ) + + return replaced_text + + +def g2p(text): + pattern = r"(?<=[{0}])\s*".format("".join(punctuation)) + sentences = [i for i in re.split(pattern, text) if i.strip() != ""] + phones, word2ph = _g2p(sentences) + return phones, word2ph + + +def _get_initials_finals(word): + initials = [] + finals = [] + orig_initials = lazy_pinyin(word, neutral_tone_with_five=True, style=Style.INITIALS) + orig_finals = lazy_pinyin( + word, neutral_tone_with_five=True, style=Style.FINALS_TONE3 + ) + for c, v in zip(orig_initials, orig_finals): + initials.append(c) + finals.append(v) + return initials, finals + + +def _g2p(segments): + phones_list = [] + word2ph = [] + for seg in segments: + pinyins = [] + # Replace all English words in the sentence + seg = re.sub("[a-zA-Z]+", "", seg) + seg_cut = psg.lcut(seg) + initials = [] + finals = [] + seg_cut = tone_modifier.pre_merge_for_modify(seg_cut) + for word, pos in seg_cut: + if pos == "eng": + continue + sub_initials, sub_finals = _get_initials_finals(word) + sub_finals = tone_modifier.modified_tone(word, pos, sub_finals) + initials.append(sub_initials) + finals.append(sub_finals) + + # assert len(sub_initials) == len(sub_finals) == len(word) + initials = sum(initials, []) + finals = sum(finals, []) + # + for c, v in zip(initials, finals): + raw_pinyin = c + v + # NOTE: post process for pypinyin outputs + # we discriminate i, ii and iii + if c == v: + assert c in punctuation + phone = [c] + word2ph.append(1) + else: + v_without_tone = v[:-1] + tone = v[-1] + + pinyin = c + v_without_tone + assert tone in "12345" + + if c: + # 多音节 + v_rep_map = { + "uei": "ui", + "iou": "iu", + "uen": "un", + } + if v_without_tone in v_rep_map.keys(): + pinyin = c + v_rep_map[v_without_tone] + else: + # 单音节 + pinyin_rep_map = { + "ing": "ying", + "i": "yi", + "in": "yin", + "u": "wu", + } + if pinyin in pinyin_rep_map.keys(): + pinyin = pinyin_rep_map[pinyin] + else: + single_rep_map = { + "v": "yu", + "e": "e", + "i": "y", + "u": "w", + } + if pinyin[0] in single_rep_map.keys(): + pinyin = single_rep_map[pinyin[0]] + pinyin[1:] + + assert pinyin in pinyin_to_symbol_map.keys(), (pinyin, seg, raw_pinyin) + new_c, new_v = pinyin_to_symbol_map[pinyin].split(" ") + new_v = new_v + tone + phone = [new_c, new_v] + word2ph.append(len(phone)) + + phones_list += phone + return phones_list, word2ph + + +def text_normalize(text): + # https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/paddlespeech/t2s/frontend/zh_normalization + tx = TextNormalizer() + sentences = tx.normalize(text) + dest_text = "" + for sentence in sentences: + dest_text += replace_punctuation(sentence) + return dest_text + + +if __name__ == "__main__": + text = "啊——但是《原神》是由,米哈\游自主，研发的一款全.新开放世界.冒险游戏" + text = "呣呣呣～就是…大人的鼹鼠党吧？" + text = "你好" + text = text_normalize(text) + print(g2p(text)) + + +# # 示例用法 +# text = "这是一个示例文本：,你好！这是一个测试..." +# print(g2p_paddle(text)) # 输出: 这是一个示例文本你好这是一个测试 diff --git a/GPT_SoVITS/text/cleaner.py b/GPT_SoVITS/text/cleaner.py new file mode 100644 index 0000000000000000000000000000000000000000..0d82d8506ab969d3a9a2f0df47a26124b1a5a462 --- /dev/null +++ b/GPT_SoVITS/text/cleaner.py @@ -0,0 +1,58 @@ +from text import chinese, japanese, cleaned_text_to_sequence, symbols, english + +language_module_map = {"zh": chinese, "ja": japanese, "en": english} +special = [ + # ("%", "zh", "SP"), + ("￥", "zh", "SP2"), + ("^", "zh", "SP3"), + # ('@', 'zh', "SP4")#不搞鬼畜了，和第二版保持一致吧 +] + + +def clean_text(text, language): + if(language not in language_module_map): + language="en" + text=" " + for special_s, special_l, target_symbol in special: + if special_s in text and language == special_l: + return clean_special(text, language, special_s, target_symbol) + language_module = language_module_map[language] + norm_text = language_module.text_normalize(text) + if language == "zh": + phones, word2ph = language_module.g2p(norm_text) + assert len(phones) == sum(word2ph) + assert len(norm_text) == len(word2ph) + else: + phones = language_module.g2p(norm_text) + word2ph = None + + for ph in phones: + assert ph in symbols + return phones, word2ph, norm_text + + +def clean_special(text, language, special_s, target_symbol): + """ + 特殊静音段sp符号处理 + """ + text = text.replace(special_s, ",") + language_module = language_module_map[language] + norm_text = language_module.text_normalize(text) + phones = language_module.g2p(norm_text) + new_ph = [] + for ph in phones[0]: + assert ph in symbols + if ph == ",": + new_ph.append(target_symbol) + else: + new_ph.append(ph) + return new_ph, phones[1], norm_text + + +def text_to_sequence(text, language): + phones = clean_text(text) + return cleaned_text_to_sequence(phones) + + +if __name__ == "__main__": + print(clean_text("你好%啊啊啊额、还是到付红四方。", "zh")) diff --git a/GPT_SoVITS/text/cmudict-fast.rep b/GPT_SoVITS/text/cmudict-fast.rep new file mode 100644 index 0000000000000000000000000000000000000000..ec1564a87ea73e92c254c7883b410bcc5fca6e26 --- /dev/null +++ b/GPT_SoVITS/text/cmudict-fast.rep @@ -0,0 +1,135010 @@ +'BOUT B AW1 T +'CAUSE K AH0 Z +'COURSE K AO1 R S +'CUSE K Y UW1 Z +'EM AH0 M +'FRISCO F R IH1 S K OW0 +'GAIN G EH1 N +'KAY K EY1 +'M AH0 M +'N AH0 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EY1 +A.'S EY1 Z +A.D. EY2 D IY1 +A.M. 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AE1 D AH0 M K AH0 S +ADAMO AA0 D AA1 M OW0 +ADAMOWICZ AH0 D AA1 M AH0 V IH0 CH +ADAMS AE1 D AH0 M Z +ADAMS' AE1 D AH0 M Z +ADAMS'S AE1 D AH0 M Z IH0 Z +ADAMSKI AH0 D AE1 M S K IY2 +ADAMSON AE1 D AH0 M S AH0 N +ADAMSTOWN AE1 D AH0 M S T AW2 N +ADAN EY1 D AH0 N +ADAPSO AH0 D AE1 P S OW0 +ADAPT AH0 D AE1 P T +ADAPTABILITY AH0 D AE2 P T AH0 B IH1 L AH0 T IY0 +ADAPTABLE AH0 D AE1 P T AH0 B AH0 L +ADAPTAPLEX AH0 D AE1 P T AH0 P L EH2 K S +ADAPTATION AE2 D AH0 P T EY1 SH AH0 N +ADAPTATIONS AE2 D AE0 P T EY1 SH AH0 N Z +ADAPTATIONS(2) AE2 D AH0 P T EY1 SH AH0 N Z +ADAPTEC AH0 D AE1 P T EH2 K +ADAPTEC'S AH0 D AE1 P T EH2 K S +ADAPTED AH0 D AE1 P T IH0 D +ADAPTER AH0 D AE1 P T ER0 +ADAPTERS AH0 D AE1 P T ER0 Z +ADAPTING AH0 D AE1 P T IH0 NG +ADAPTIVE AH0 D AE1 P T IH0 V +ADAPTOR AH0 D AE1 P T ER0 +ADAPTORS AH0 D AE1 P T ER0 Z +ADAPTS AH0 D AE1 P T S +ADAR AH0 D AA1 R +ADARAND AE1 D AH0 R AE2 N D +ADAS EY1 D AH0 Z +ADAY AH0 D EY1 +ADAZA AH0 D AA1 Z AH0 +ADBLOCK AE1 D B L AA2 K +ADCOCK AH0 D K AA1 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D IH1 SH N AH0 L +ADDITIONALLY AH0 D IH1 SH AH0 N AH2 L IY0 +ADDITIONALLY(2) AH0 D IH1 SH N AH0 L IY0 +ADDITIONS AH0 D IH1 SH AH0 N Z +ADDITIVE AE1 D AH0 T IH0 V +ADDITIVE(2) AE1 D IH0 T IH0 V +ADDITIVES AE1 D AH0 T IH0 V Z +ADDITIVES(2) AE1 D IH0 T IH0 V Z +ADDLE AE1 D AH0 L +ADDLED AE1 D AH0 L D +ADDLEMAN AE1 D AH0 L M AH0 N +ADDRESS AE1 D R EH2 S +ADDRESS(2) AH0 D R EH1 S +ADDRESSABLE AH0 D R EH1 S AH0 B AH0 L +ADDRESSED AH0 D R EH1 S T +ADDRESSEE AE2 D R EH0 S IY1 +ADDRESSES AE1 D R EH1 S IH0 Z +ADDRESSES(2) AH0 D R EH1 S IH0 Z +ADDRESSING AH0 D R EH1 S IH0 NG +ADDS AE1 D Z +ADDUCI AA0 D UW1 CH IY0 +ADDUCT AE1 D AH0 K T +ADDWEST AE2 D W EH1 S T +ADDY AE1 D IY0 +ADDYSTON AE1 D IY0 S T AH0 N +ADE EY1 D +ADEE AH0 D IY1 +ADEL AH0 D EH1 L +ADELA AH0 D EH1 L AH0 +ADELAAR AE1 D AH0 L AA2 R +ADELAIDE AE1 D AH0 L EY2 D +ADELANTO AE0 D AH0 L AA1 N T OW0 +ADELBERT AH0 D EH1 L B ER0 T +ADELE AH0 D EH1 L +ADELE'S AH0 D EH1 L Z +ADELINE AE1 D AH0 L AY2 N +ADELIZZI AE2 D AH0 L IY1 Z IY0 +ADELL 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AH0 N +ADES EY1 D Z +ADEY EY1 D IY0 +ADGER AE1 JH ER0 +ADHAM AE1 D HH AE0 M +ADHD EY2 D IY2 EY2 CH D IY1 +ADHERE AH0 D HH IH1 R +ADHERED AE0 D HH IH1 R D +ADHERENCE AH0 D HH IH1 R AH0 N S +ADHERENT AH0 D HH IH1 R AH0 N T +ADHERENTS AE0 D HH IH1 R AH0 N T S +ADHERES AH0 D HH IH1 R Z +ADHERING AH0 D HH IH1 R IH0 NG +ADHESION AE0 D HH IY1 ZH AH0 N +ADHESIVE AE0 D HH IY1 S IH0 V +ADHESIVE(2) AH0 D HH IY1 S IH0 V +ADHESIVES AE0 D HH IY1 S IH0 V Z +ADHESIVES(2) AH0 D HH IY1 S IH0 V Z +ADIA AA1 D IY0 AH0 +ADID AH0 D IH1 D +ADIDAS AH0 D IY1 D AH0 S +ADIDAS'S AH0 D IY1 D AH0 S IH0 Z +ADIEU AH0 D UW1 +ADIN AH0 D IH1 N +ADINA AA0 D IY1 N AH0 +ADINE AA0 D IY1 N IY0 +ADINOLFI AA0 D IY0 N OW1 L F IY0 +ADIOS AA2 D IY0 OW1 S +ADIPOSE AE1 D AH0 P OW2 S +ADIRONDACK AE2 D ER0 AA1 N D AE0 K +ADISQ AH0 D IH1 S K +ADISQ(2) EY1 D IH0 S K +ADJACENT AH0 JH EY1 S AH0 N T +ADJANI AE0 D JH AA1 N IY0 +ADJECTIVE AE1 JH IH0 K T IH0 V +ADJECTIVES AE1 JH IH0 K T IH0 V Z +ADJOIN AH0 JH OY1 N +ADJOINING AH0 JH OY1 N IH0 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L T AA2 B AH0 T AH2 B AY1 +ADLAI AA0 D L AA1 IY0 +ADLER AE1 D L ER0 +ADLER'S AE1 D L ER0 Z +ADLERS AE1 D L ER0 Z +ADLEY AE1 D L IY0 +ADLON AE1 D L AA0 N +ADLONG AE1 D L AO0 NG +ADMAN AE1 D M AH0 N +ADMEN AE1 D M AH0 N +ADMIN AE1 D M IH0 N +ADMINISTER AH0 D M IH1 N AH0 S T ER0 +ADMINISTERED AH0 D M IH1 N AH0 S T ER0 D +ADMINISTERING AE0 D M IH1 N IH0 S T ER2 IH0 NG +ADMINISTERS AE0 D M IH1 N IH0 S T ER0 Z +ADMINISTRATE AE0 D M IH1 N IH0 S T R EY2 T +ADMINISTRATING AH0 D M IH1 N AH0 S T R EY2 T IH0 NG +ADMINISTRATION AE0 D M IH2 N IH0 S T R EY1 SH AH0 N +ADMINISTRATION'S AE0 D M IH2 N IH0 S T R EY1 SH AH0 N Z +ADMINISTRATIONS AE0 D M IH2 N IH0 S T R EY1 SH AH0 N Z +ADMINISTRATIONS' AE0 D M IH2 N IH0 S T R EY1 SH AH0 N Z +ADMINISTRATIVE AH0 D M IH1 N AH0 S T R EY2 T IH0 V +ADMINISTRATIVELY AE0 D M IH2 N AH0 S T R EY1 T IH0 V L IY0 +ADMINISTRATOR AH0 D M IH1 N AH0 S T R EY2 T ER0 +ADMINISTRATOR'S AE0 D M IH1 N IH0 S T R EY2 T ER0 Z +ADMINISTRATORS AE0 D M IH1 N IH0 S T R EY2 T ER0 Z 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IH0 D +ADMITTEDLY AE0 D M IH1 T IH0 D L IY0 +ADMITTING AE0 D M IH1 T IH0 NG +ADMITTING(2) AH0 D M IH1 T IH0 NG +ADMONISH AE0 D M AA1 N IH0 SH +ADMONISHED AH0 D M AA1 N IH0 SH T +ADMONISHES AE0 D M AA1 N IH0 SH IH0 Z +ADMONISHING AE0 D M AA1 N IH0 SH IH0 NG +ADMONISHMENT AE0 D M AA1 N IH0 SH M EH0 N T +ADMONITION AE2 D M AH0 N IH1 SH AH0 N +ADMONITIONS AE2 D M AH0 N IH1 SH AH0 N Z +ADMONITORY AE2 D M AO1 N IH0 T AO2 R IY0 +ADNAN AE1 D N AH0 N +ADNEY AE1 D N IY0 +ADO AH0 D UW1 +ADOBE AH0 D OW1 B IY0 +ADOBE'S AH0 D OW1 B IY0 Z +ADOLESCENCE AE2 D AH0 L EH1 S AH0 N S +ADOLESCENCE(2) AE2 D OW0 L EH1 S AH0 N S +ADOLESCENT AE2 D AH0 L EH1 S AH0 N T +ADOLESCENT(2) AE2 D OW0 L EH1 S AH0 N T +ADOLESCENTS AE2 D AH0 L EH1 S AH0 N T S +ADOLESCENTS(2) AE2 D OW0 L EH1 S AH0 N T S +ADOLF EY1 D AA0 L F +ADOLF'S EY1 D AA0 L F S +ADOLFO AH0 D AA1 L F OW2 +ADOLPH EY1 D AO0 L F +ADOLPHA AA0 D OW1 L F AH0 +ADOLPHSON AE1 D OW0 L F S AH0 N +ADOLPHUS AH0 D AO1 L F AH0 S +ADON AA0 D AO1 N +ADONIA AA0 D OW1 N IY0 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B AA1 L M Z +BALMY B AA1 M IY0 +BALODIA B AH0 L OW1 D IY0 AH0 +BALOG B AE1 L AO0 G +BALOGA B AA0 L OW1 G AH0 +BALOGH B AE1 L OW0 +BALON B AA0 L AO1 N +BALONEY B AH0 L OW1 N IY0 +BALOW B AE1 L OW0 +BALSA B AO1 L S AH0 +BALSAM B AO1 L S AH0 M +BALSAMIC B AA2 L S AA1 M IH0 K +BALSAMO B AA0 L S AA1 M OW0 +BALSBAUGH B AO1 L Z B AO2 +BALSER B EY1 L S ER0 +BALSIGER B AE1 L S IH0 G ER0 +BALSLEY B AE1 L S L IY0 +BALSTER B AE1 L S T ER0 +BALT'S B AO1 L T S +BALTAZAR B AA0 L T AA0 Z AA1 R +BALTER B AO1 L T ER0 +BALTES B EY1 L T S +BALTHASAR B AE1 L TH AH0 S ER0 +BALTHASER B AE1 L TH AH0 S ER0 +BALTHAZAR B AE1 L TH AH0 Z ER0 +BALTHAZOR B AA0 L TH AA0 Z AO1 R +BALTHROP B AE1 L TH R AH0 P +BALTIC B AO1 L T IH0 K +BALTICA B AE1 L T IH0 K AH0 +BALTICS B AO1 L T IH0 K S +BALTIERRA B AA0 L T IH1 R AH0 +BALTIMORE B AO1 L T AH0 M AO2 R +BALTIMORE'S B AO1 L T AH0 M AO2 R Z +BALTO B AA1 L T OW0 +BALTODANO B AO2 L T OW0 D AA1 N OW0 +BALTSA B AO1 L T S AH0 +BALTZ B AE1 L T S +BALTZELL B AE1 L T Z AH0 L +BALTZER B AE1 L T Z ER0 +BALUCHI B AH0 L UW1 CH IY0 +BALUJA B AH0 L UW1 JH AH0 +BALUKAS B AH0 L UW1 K AH0 Z +BALYEAT B AE2 L IY0 AE1 T +BALZ B AO1 L Z +BALZAC B AA0 L Z AE1 K +BALZANO B AA0 L Z AA1 N OW0 +BALZARINI B AA0 L Z AA0 R IY1 N IY0 +BALZER B EY1 L Z ER0 +BAM B AE1 M +BAMAKO B AE1 M AH0 K OW0 +BAMBA B AE1 M B AH0 +BAMBACH B AE1 M B AA2 K +BAMBENEK B AE0 M B EH1 N EH0 K +BAMBER B AE1 M B ER0 +BAMBERG B AE1 M B ER0 G +BAMBERGER B AE1 M B ER0 G ER0 +BAMBI B AE1 M B IY0 +BAMBINO B AE2 M B IY1 N OW0 +BAMBINOS B AE2 M B IY1 N OW0 Z +BAMBOO B AE0 M B UW1 +BAMBRICK B AE1 M B R IH0 K +BAMBURG B AE1 M B ER0 G +BAME B EY1 M +BAMFORD B AE1 M F ER0 D +BAMUT B AE1 M AH0 T +BAN B AE1 N +BAN'S B AE1 N Z +BANACCI B AH0 N AA1 CH IY0 +BANACH B AE1 N AH0 K +BANAL B AH0 N AA1 L +BANALITIES B AH0 N AE1 L IH0 T IY0 Z +BANALITY B AH0 N AE1 L IH0 T IY0 +BANAMEX B AE1 N AH0 M EH2 K S +BANANA B AH0 N AE1 N AH0 +BANANAS B AH0 N AE1 N AH0 Z +BANAS B AE1 N AH0 Z +BANASIAK B AH0 N AA1 S IY0 AE0 K +BANASZAK B AH0 N AA1 SH AH0 K +BANBURY B AE1 N B EH2 R IY0 +BANC B AE1 NG K +BANCA B AE1 NG K AH0 +BANCA(2) B AA1 NG K AH0 +BANCAIRE B AE0 N K EH1 R +BANCARIO B AE0 N K EH1 R IY0 OW0 +BANCO B AE1 NG K OW0 +BANCOKLAHOMA B AE0 NG K AA2 K L AH0 HH OW1 M AH0 +BANCOMER B AE1 NG K AH0 M ER0 +BANCOR B AE1 N K AO2 R +BANCORP B AE1 NG K AO0 R P +BANCORP(2) B AE1 N K AO0 R P +BANCORP'S B AE1 NG K AO0 R P S +BANCORP'S(2) B AE1 N K AO0 R P S +BANCORPORATION B AE1 N K AO2 R P ER0 EY0 SH AH0 N +BANCROFT B AE1 NG K R AO0 F T +BANCROFT'S B AE1 N K R AO2 F T S +BANCSERVE B AE1 N K S ER0 V +BANCSHARES B AE1 NG K SH EH0 R Z +BANCSHARES' B AE0 NG K SH EH1 R Z +BANCTEC B AE1 NG K T EH2 K +BANCTEXAS B AE0 NG K T EH1 K S AH0 S +BAND B AE1 N D +BAND'S B AE1 N D Z +BANDA B AE1 N D AH0 +BANDAG B AE1 N D AE2 G +BANDAGE B AE1 N D IH0 JH +BANDAGED B AE1 N D AH0 JH D +BANDAGES B AE1 N D AH0 JH AH0 Z +BANDAGES(2) B AE1 N D IH0 JH IH0 Z +BANDAI B AE2 N D AY1 +BANDAID B AE1 N D EY0 D +BANDANA B AE2 N D AE1 N AH0 +BANDANAS B AE2 N D AE1 N AH0 Z +BANDAR B AE1 N D AA0 R +BANDED B AE1 N D IH0 D +BANDEL B AE1 N D AH0 L +BANDEMER B AE1 N D IY0 M ER0 +BANDER B AE1 N D ER0 +BANDERAS B AE0 N D ER1 AH0 S +BANDERAS(2) B AA0 N D ER0 AH1 S +BANDICOOT B AE1 N D IH0 K UW2 T +BANDICOOT(2) B AE1 N D IY0 K UW2 T +BANDICOOTS B AE1 N D IH0 K UW2 T S +BANDICOOTS(2) B AE1 N D IY0 K UW2 T S +BANDIED B AE1 N D IY0 D +BANDING B AE1 N D IH0 NG +BANDIT B AE1 N D AH0 T +BANDITRY B AE1 N D AH0 T R IY0 +BANDITS B AE1 N D AH0 T S +BANDLEADER B AE1 N D L IY0 D ER0 +BANDLEADERS B AE1 N D L IY0 D ER0 Z +BANDOLIER B AE2 N D AH0 L IH1 R +BANDOLIERS B AE2 N D AH0 L IH1 R Z +BANDOW B AE1 N D AW2 +BANDOW'S B AE1 N D AW2 Z +BANDS B AE1 N D Z +BANDSHELL B AE0 N D SH EH1 L +BANDSTAND B AE1 N D S T AE2 N D +BANDT B AE1 N T +BANDUCCI B AA0 N D UW1 CH IY0 +BANDWAGON B AE1 N D W AE2 G AH0 N +BANDWIDTH B AE1 N D W IH0 D TH +BANDY B AE1 N D IY0 +BANE B EY1 N +BANEGAS B AE1 N IH0 G AH0 Z +BANERJEE B AH0 N ER1 JH IY0 +BANES B EY1 N Z +BANESTO B AH0 N EH1 S T OW0 +BANESTO'S B AH0 N EH1 S T OW0 Z +BANET B AE1 N IH0 T +BANEY B EY1 N IY0 +BANFF B AE1 N F +BANFIELD B AE1 N F IY2 L D +BANFORD B AE1 N F ER0 D +BANG B AE1 NG +BANGALA B AA0 N G AA1 L AH0 +BANGALOR B AE1 NG G AH0 L AO2 R +BANGALORE B AE1 NG G AH0 L AO2 R +BANGALORE'S B AE1 NG G AH0 L AO2 R Z +BANGE B AE1 N JH +BANGED B AE1 NG D +BANGEE B AE1 N JH IY0 +BANGEMANN B AE1 NG G AH0 M AH0 N +BANGER B AE1 NG ER0 +BANGERS B AE1 NG ER0 Z +BANGERT B EY1 NG G ER0 T +BANGERTER B EY1 NG G ER0 T ER0 +BANGHART B AE1 NG HH AA2 R T +BANGING B AE1 NG IH0 NG +BANGISH B AE1 NG IH0 SH +BANGKOK B AE0 NG K AA1 K +BANGKOK(2) B AE1 NG K AA0 K +BANGKOK'S B AE1 NG K AA0 K S +BANGLA B AE1 NG L AA2 +BANGLADESH B AE1 NG L AH0 D EH2 SH +BANGLADESH'S B AE1 NG L AH0 D EH2 SH IH0 Z +BANGLADESHI B AE1 NG L AH0 D EH2 SH IY0 +BANGLADESHI'S B AE1 NG L AH0 D EH2 SH IY0 Z +BANGLADESHIS B AE1 NG L AH0 D EH2 SH IY0 Z +BANGLE B AE1 NG G AH0 L +BANGLES B AE1 NG G AH0 L Z +BANGO B AA1 NG G OW0 +BANGOR B AE1 NG G ER0 +BANGOR(2) B AE1 NG G AO2 R +BANGS B AE1 NG Z +BANH B AE1 N +BANIA B AA1 N IY0 AH0 +BANICK B AE1 N IH0 K +BANIK B AE1 N IH0 K +BANIS B AE1 N IH0 S +BANISH B AE1 N IH0 SH +BANISHED B AE1 N IH0 SH T +BANISHING B AE1 N IH0 SH IH0 NG +BANISHMENT B AE1 N IH0 SH M AH0 N T +BANISTER B AE1 N IH0 S T ER0 +BANJA B AA1 N Y AH0 +BANJO B AE1 N JH OW2 +BANK B AE1 NG K +BANK'S B AE1 NG K S +BANKABLE B AE1 NG K AH0 B AH0 L +BANKAMERICA B AE2 NG K AH0 M EH1 R IH0 K AH0 +BANKAMERICA'S B AE2 NG K AH0 M EH1 R IH0 K AH0 Z +BANKATLANTIC B AE2 NG K AH0 T L AE1 N T IH0 K +BANKBOOK B AE1 NG K B UH2 K +BANKCARD B AE1 NG K AA2 R D +BANKCARDS B AE1 NG K AA2 R D Z +BANKCORP B AE1 NG K AO2 R P +BANKE B AE1 NG K +BANKEAST B AE2 NG K IY1 S T +BANKED B AE1 NG K T +BANKEN B AE1 NG K AH0 N +BANKER B AE1 NG K ER0 +BANKER'S B AE1 NG K ER0 Z +BANKERS B AE1 NG K ER0 Z +BANKERS' B AE1 NG K ER0 Z +BANKERT B AE1 NG K ER0 T +BANKES B AE1 NG K S +BANKEY B AE1 N K IY2 +BANKHEAD B AE1 NG K HH EH2 D +BANKHOLDING B AE1 NG K HH OW2 L D IH0 NG +BANKING B AE1 NG K IH0 NG +BANKING'S B AE1 NG K IH0 NG Z +BANKNOTE B AE1 NG K N OW2 T +BANKNOTES B AE1 NG K N OW2 T S +BANKO B AE1 NG K OW0 +BANKOWSKI B AH0 NG K AO1 F S K IY0 +BANKROLL B AE1 NG K R OW2 L +BANKROLLED B AE1 NG K R OW2 L D +BANKROLLING B AE1 NG K R OW2 L IH0 NG +BANKROLLS B AE1 NG K R OW2 L Z +BANKRUPCTY B AE1 NG K R AH0 P T S IY0 +BANKRUPT B AE1 NG K R AH0 P T +BANKRUPTCIES B AE1 NG K R AH0 P T S IY0 Z +BANKRUPTCY B AE1 NG K R AH0 P S IY0 +BANKRUPTCY(2) B AE1 NG K R AH0 P T S IY0 +BANKRUPTCY'S B AE1 NG K R AH0 P S IY0 Z +BANKRUPTED B AE1 NG K R AH0 P T IH0 D +BANKRUPTING B AE1 NG K R AH2 P T IH0 NG +BANKS B AE1 NG K S +BANKS' B AE1 NG K S +BANKS'S B AE1 NG K S IH0 Z +BANKSHARE B AE1 NG K SH EH2 R +BANKSHARES B AE1 NG K SH EH2 R Z +BANKSON B AE1 NG K S AH0 N +BANKSTON B AE1 NG K S T AH0 N +BANKVEREIN B AE1 NG K V ER0 AY2 N +BANKVERMONT B AE1 NG K V ER0 M AA1 N T +BANKWORCESTER B AE1 NG K W ER1 CH EH2 S T ER0 +BANKWORCESTER(2) B AE1 NG K W UW1 S T ER0 +BANN B AE1 N +BANNAN B AE1 N AH0 N +BANNED B AE1 N D +BANNER B AE1 N ER0 +BANNER'S B AE1 N ER0 Z +BANNERMAN B AE1 N ER0 M AH0 N +BANNERS B AE1 N ER0 Z +BANNICK B AE1 N IH0 K +BANNING B AE1 N IH0 NG +BANNINGS B AE1 N IH0 NG Z +BANNISTER B AE1 N AH0 S T ER0 +BANNISTER(2) B AE1 N IH0 S T ER0 +BANNON B AE1 N AH0 N +BANOS B AA1 N OW0 Z +BANOUN B AH0 N UW1 N +BANPAIS B AE2 N P EY1 +BANPONCE B AE1 N P AA0 N S +BANQUE B AE1 NG K +BANQUET B AE1 NG K W AH0 T +BANQUETS B AE1 NG K W AH0 T S +BANQUO'S B AE1 NG K W OW0 Z +BANS B AE1 N Z +BANSAL B AA0 N S AA1 L +BANSHEE B AE0 N SH IY1 +BANSHEE(2) B AE1 N SH IY0 +BANTA B AE1 N T AH0 +BANTAM B AE1 N T AH0 M +BANTAM'S B AE1 N T AH0 M Z +BANTAMS B AE1 N T AH0 M Z +BANTER B AE1 N T ER0 +BANTERED B AE1 N T ER0 D +BANTERING B AE1 N T ER0 IH0 NG +BANTLE B AE1 N T AH0 L +BANTON B AE1 N T AH0 N +BANTU B AE1 N T UW0 +BANTZ B AE1 N T S +BANUELOS B AA0 N W EH1 L OW0 Z +BANVILLE B AA1 N V IH0 L +BANWART B AE1 N W AO2 R T +BANXQUOTE B AE1 NG K S K W OW2 T +BANYA B AA1 N Y AH0 +BANYA(2) B AE1 N Y AH0 +BANYALUCA B AE1 N Y AH0 L UW2 K AH0 +BANYAN B AE1 N Y AH0 N +BANYAS B AA1 N Y AH0 Z +BANYAS(2) B AE1 N Y AH0 Z +BANYU B AA1 N Y UW2 +BANZHAF B AE1 N Z HH AH0 F +BAO B AW1 +BAOGUANG B AA1 AO0 G W AE2 NG +BAPLEY B AE1 P L IY0 +BAPNA B AA1 P N AH0 +BAPTISM B AE1 P T IH0 Z AH0 M +BAPTISMAL B AE0 P T IH1 Z M AH0 L +BAPTISMS B AE1 P T IH2 Z AH0 M Z +BAPTIST B AE1 P T AH0 S T +BAPTIST(2) B AE1 P T IH0 S T +BAPTISTA B AE2 P T IH1 S T AH0 +BAPTISTE B AH0 P T IH1 S T +BAPTISTERY B AE1 P T AH0 S T R IY0 +BAPTISTS B AE1 P T AH0 S T S +BAPTISTS(2) B AE1 P T AH0 S +BAPTIZE B AE0 P T AY1 Z +BAPTIZED B AE0 P T AY1 Z D +BAPTIZED(2) B AE1 P T AY2 Z D +BAR B AA1 R +BAR'S B AA1 R Z +BAR-MITZVAH B AA1 R M IH1 T S V AH0 +BARA B AA1 R AH0 +BARABAR B EH1 R AH0 B AA0 R +BARACH B AH0 R AA1 K +BARACH(2) B ER0 AA1 K +BARACK B AA1 R AH0 K +BARACK(2) B AE0 R AA1 K +BARAFF B AA0 R AA1 F +BARAGI B AH0 R AA1 G IY0 +BARAHONA B AE2 R AH0 HH OW1 N AH0 +BARAJAS B AA0 R AA1 Y AA0 Z +BARAK B AA1 R AH0 K +BARAKAT B AA1 R AH0 K AA2 T +BARAM B EH1 R AE0 M +BARAN B AA0 R AA1 N +BARANEK B AE1 R AH0 N IH0 K +BARANOSKI B ER0 AH0 N AW1 S K IY0 +BARANOWSKI B ER0 AH0 N AO1 F S K IY0 +BARANSKI B ER0 AE1 N S K IY0 +BARANY B ER0 AO1 N IY0 +BARASCH B AE1 R AH0 SH +BARASH B AE1 R AH0 SH +BARATH B AE1 R AH0 TH +BARATTA B AA0 R AA1 T AH0 +BARB B AA1 R B +BARB'S B AA1 R B Z +BARBA B AA1 R B AH0 +BARBADOS B AA0 R B EY1 D OW0 S +BARBAGALLO B AA2 R B AH0 G AE1 L OW0 +BARBAKOW B AA1 R B AH0 K AW2 +BARBANEL B AA1 R B AH0 N AH0 L +BARBANO B AA0 R B AA1 N OW0 +BARBARA B AA1 R B ER0 AH0 +BARBARA(2) B AA1 R B R AH0 +BARBARA'S B AA1 R B ER0 AH0 Z +BARBAREE B AA1 R B ER0 IY1 +BARBARIAN B AA0 R B EH1 R IY0 AH0 N +BARBARIANS B AA0 R B EH1 R IY0 AH0 N Z +BARBARIC B AA0 R B AE1 R IH0 K +BARBARIC(2) B AA0 R B EH1 R IH0 K +BARBARINO B AA0 R B AA0 R IY1 N OW0 +BARBARISM B AA1 R B ER0 IH2 Z AH0 M +BARBARITY B AA0 R B AE1 R AH0 T IY0 +BARBARITY(2) B AA0 R B EH1 R AH0 T IY0 +BARBARO B AA0 R B AA1 R OW0 +BARBAROUS B AA1 R B ER0 AH0 S +BARBARY B AA1 R B ER0 IY0 +BARBASH B AA1 R B AE2 SH +BARBATO B AA0 R B AA1 T OW0 +BARBE B AA1 R B +BARBEAU B AA0 R B OW1 +BARBECUE B AA1 R B IH0 K Y UW2 +BARBECUE'S B AA1 R B IH0 K Y UW2 Z +BARBECUED B AA1 R B IH0 K Y UW2 D +BARBECUEING B AA1 R B IH0 K Y UW2 IH0 NG +BARBECUES B AA1 R B IH0 K Y UW2 Z +BARBECUING B AA1 R B IH0 K Y UW2 IH0 NG +BARBED B AA1 R B D +BARBED-WIRE B AA1 R B D W AY1 R +BARBEE B AA1 R B IY1 +BARBEL B AA1 R B EH2 L +BARBELL B AA1 R B EH2 L +BARBELLA B AA2 R B EH1 L AH0 +BARBELLS B AA1 R B EH2 L Z +BARBELS B AA1 R B AH0 L Z +BARBEQUE B AA1 R B IH0 K Y UW2 +BARBEQUED B AA1 R B IH0 K Y UW2 D +BARBEQUEING B AA1 R B IH0 K Y UW2 IH0 NG +BARBEQUES B AA1 R B IH0 K Y UW2 Z +BARBER B AA1 R B ER0 +BARBER'S B AA1 R B ER0 Z +BARBERA B AA0 R B EH1 R AH0 +BARBERI B AA0 R B EH1 R IY0 +BARBERIO B AA2 R B IY1 R IY0 OW0 +BARBERIS B AA1 R B ER0 IH0 S +BARBERO B AA0 R B EH1 R OW0 +BARBERS B AA1 R B ER0 Z +BARBERSHOP B AA1 R B ER0 SH AA2 P +BARBETTE B AA0 R B EH1 T +BARBIAN B AA1 R B IY0 AH0 N +BARBIE B AA1 R B IY0 +BARBIE'S B AA1 R B IY0 Z +BARBIER B AA1 R B IY0 ER0 +BARBIERI B AA0 R B IH1 R IY0 +BARBIERI'S B AA0 R B IH1 R IY0 Z +BARBIES B AA1 R B IY0 Z +BARBIN B AA1 R B IH0 N +BARBITURATE B AA0 R B IH1 CH ER0 AH0 T +BARBITURATES B AA0 R B IH1 CH ER0 AH0 T S +BARBO B AA1 R B OW0 +BARBONE B AA1 R B OW2 N +BARBOSA B AA0 R B OW1 S AH0 +BARBOUR B AA1 R B ER0 +BARBOUR'S B AA1 R B ER0 Z +BARBOURSVILLE B AA1 B ER0 Z V IH0 L +BARBOZA B AA0 R B OW1 Z AH0 +BARBRA B AA1 R B R AH0 +BARBRE B AA1 R B ER0 +BARBS B AA1 R B Z +BARBUDA B AA0 R B UW1 D AH0 +BARBY B AA1 R B IY0 +BARCA B AA1 R K AH0 +BARCELLA B AA2 R S EH1 L AH0 +BARCELLOS B AA0 R S EH1 L OW0 Z +BARCELO B AA0 R CH EH1 L OW0 +BARCELONA B AA2 R S IH0 L OW1 N AH0 +BARCENAS B AA1 R S IH0 N AH0 Z +BARCH B AA1 R K +BARCHEFSKY B AA0 CH EH1 F S K IY0 +BARCIA B AA1 R CH AH0 +BARCLAY B AA1 R K L EY2 +BARCLAY(2) B AA1 R K L IY2 +BARCLAY'S B AA1 R K L IY0 Z +BARCLAY'S(2) B AA1 R K L EY0 Z +BARCLAYS B AA1 R K L IY0 Z +BARCLAYS(2) B AA1 R K L EY0 Z +BARCLAYS' B AA1 R K L IY0 Z +BARCLAYS'(2) B AA1 R K L EY0 Z +BARCLAYS'S B AA1 R K L IY2 Z IH0 Z +BARCLAYS'S(2) B AA1 R K L EY2 Z IH0 Z +BARCLIFT B AA1 R K L IH0 F T +BARCO B AA1 R K OW0 +BARCO'S B AA1 R K OW0 Z +BARCOMB B AA1 R K AH0 M +BARCROFT B AA1 R K R AO2 F T +BARCUS B AA1 R K AH0 S +BARCZAK B AA1 R CH AE0 K +BARD B AA1 R D +BARD'S B AA1 R D Z +BARDELL B AA0 R D EH1 L +BARDEN B AA1 R D AH0 N +BARDERA B AA2 R D EH1 R AH0 +BARDIN B AA1 R D IH0 N +BARDO B AA1 R D OW0 +BARDOLF B AA1 R D OW2 L F +BARDOLPH B AA1 R D AA0 L F +BARDON B AA0 R D AO1 N +BARDRICK B AA1 R D R IH0 K +BARDSLEY B AA1 R D S L IY0 +BARDULF B AA1 R D AH0 L F +BARDULPH B AA1 R D AH0 L F +BARDWELL B AA1 R D W EH2 L +BARE B EH1 R +BARED B EH1 R D +BAREFIELD B AE1 R IH0 F IY0 L D +BAREFIELD(2) B AE1 R F IY0 L D +BAREFOOT B EH1 R F UH2 T +BAREIS B AE1 R AY0 Z +BARELA B AA0 R EH1 L AH0 +BARELY B EH1 R L IY0 +BARENBOIM B EH1 R AH0 N B OY2 M +BARENBOIM'S B EH1 R AH0 N B OY2 M Z +BARENS B EH1 R AH0 N Z +BARENTINE B AA0 R EH0 N T IY1 N IY0 +BARENTINE(2) B EH1 R AH0 N T IY1 N +BARENTINE(3) B EH1 R AH0 N T AY1 N +BARENTS B EH1 R AH0 N T S +BARES B EH1 R Z +BAREST B EH1 R AH0 S T +BAREY B EH1 R IY0 +BARF B AA1 R F +BARFIELD B AA1 R F IY2 L D +BARFKNECHT B AA1 R F K N EH0 K T +BARFKNECHT(2) B AA1 R F N EH0 K T +BARFOOT B AA1 R F UH2 T +BARFUSS B AA1 R F AH2 S +BARG B AA1 R G +BARGA B AA1 R G AH0 +BARGAIN B AA1 R G AH0 N +BARGAIN(2) B AA1 R G IH0 N +BARGAINED B AA1 R G AH0 N D +BARGAINER B AA1 R G IH0 N ER0 +BARGAINERS B AA1 R G IH0 N ER0 Z +BARGAINING B AA1 R G IH0 N IH0 NG +BARGAINS B AA1 R G AH0 N Z +BARGAINS(2) B AA1 R G IH0 N Z +BARGANIER B AA1 R G AH0 N IY0 ER0 +BARGAR B AA0 R G AA1 R +BARGAS B AA1 R G AH0 Z +BARGE B AA1 R JH +BARGED B AA1 R JH D +BARGER B AA1 R JH ER0 +BARGERON B AA1 R G ER0 AH0 N +BARGES B AA1 R JH AH0 Z +BARGES(2) B AA1 R JH IH0 Z +BARGING B AA1 R JH IH0 NG +BARGMAN B AA1 R G M AH0 N +BARGMANN B AA1 R G M AH0 N +BARGO B AA1 R G OW2 +BARHAM B AA1 R HH AH0 M +BARHORST B AA1 R HH AO0 R S T +BARI B AA1 R IY0 +BARI'S B AA1 R IY0 Z +BARIBEAU B AE1 R IH0 B OW0 +BARICH B AE1 R IH0 K +BARIL B EH1 R AH0 L +BARILE B AA1 R AH0 L +BARILLARI B EH2 R IH0 L EH1 R IY0 +BARILLARI'S B EH2 R IH0 L EH1 R IY0 Z +BARILLO B ER0 IH1 L OW0 +BARINCO B ER0 IH1 NG K OW2 +BARING B EH1 R IH0 NG +BARING'S B EH1 R IH0 NG Z +BARINGER B EH1 R IH0 NG ER0 +BARINGS B EH1 R IH0 NG Z +BARINGS' B EH1 R IH0 NG Z +BARIS B AA1 R IY0 Z +BARISH B EH1 R IH0 SH +BARISTA B AA0 R IY1 S T AH0 +BARISTAS B AA0 R IY1 S T AH0 Z +BARITE B EH1 R AY0 T +BARITES B EH1 R AY0 T S +BARITONE B EH1 R AH0 T OW2 N +BARITONES B EH1 R AH0 T OW2 N Z +BARIUM B EH1 R IY0 AH0 M +BARK B AA1 R K +BARKAI B AA0 R K AY1 +BARKALOW B AA1 R K AH0 L OW2 +BARKAN B AA1 R K AH0 N +BARKDOLL B AA1 R K D AH0 L +BARKDULL B AA1 R K D AH0 L +BARKE B AA1 R K +BARKED B AA1 R K T +BARKELEY B AA1 R K L IY0 +BARKER B AA1 R K ER0 +BARKERS B AA1 R K ER0 Z +BARKES B AA1 R K S +BARKETT B AA1 R K IH0 T +BARKEY B AA1 R K IY2 +BARKHURST B AA1 R K HH ER0 S T +BARKIN B AA1 R K IH0 N +BARKING B AA1 R K IH0 NG +BARKLEY B AA1 R K L IY0 +BARKLOW B AA1 R K L OW2 +BARKMAN B AA1 R K M AH0 N +BARKO B AA1 R K OW0 +BARKOCY B AA1 R K AH0 S IY0 +BARKOW B AA1 R K OW0 +BARKS B AA1 R K S +BARKSDALE B AA1 R K S D EY2 L +BARKSHIRE B AA1 R K SH AY2 R +BARKUS B AA1 R K AH0 S +BARLAGE B AA1 R L IH0 JH +BARLETT B AA1 R L IH0 T +BARLETTA B AA0 R L EH1 T AH0 +BARLETTESVILLE B AA1 R L AH0 T S V IH2 L +BARLEY B AA1 R L IY0 +BARLOON B AA0 R L UW1 N +BARLOW B AA1 R L OW2 +BARLOWE B AA1 R L OW2 +BARMAN B AA1 R M AH0 N +BARMORE B AA1 R M AO0 R +BARN B AA1 R N +BARNA B AA1 R N AH0 +BARNABAS B AA1 R N AH0 B AH0 S +BARNABY B AA1 R N AH0 B IY0 +BARNABY'S B AA1 R N AH0 B IY0 Z +BARNACLE B AA1 R N AH0 K AH0 L +BARNACLES B AA1 R N AH0 K AH0 L Z +BARNARD B AA1 R N AA0 R D +BARNARD'S B AA1 R N AA0 R D Z +BARNARDS B AA1 R N ER0 D Z +BARNAS B AA1 R N AH0 Z +BARNDT B AA1 R N T +BARNELL B AA1 R N AH0 L +BARNER B AA1 R N ER0 +BARNES B AA1 R N Z +BARNET B AA1 R N IH0 T +BARNETT B AA0 R N EH1 T +BARNETT'S B AA0 R N EH1 T S +BARNETTE B AA1 R N EH1 T +BARNEVIK B AA0 R N EH1 V IH0 K +BARNEY B AA1 R N IY0 +BARNEY'S B AA1 R N IY0 Z +BARNEYS B AA1 R N IY0 Z +BARNFIELD B AA1 R N F IY2 L D +BARNHARD B AA1 R N HH AA2 R D +BARNHARDT B AA1 R N HH AA2 R T +BARNHART B AA1 R N HH AA2 R T +BARNHILL B AA1 R N HH IH2 L +BARNHOUSE B AA1 R N HH AW2 S +BARNICK B AA1 R N IH0 K +BARNICLE B AA1 R N IH0 K AH0 L +BARNISH B AA1 R N IH0 SH +BARNO B AA1 R N OW0 +BARNOWSKI B AA0 R N AW1 S K IY0 +BARNS B AA1 R N Z +BARNSTORM B AA1 R N S T AO2 R M +BARNSTORMING B AA1 R N S T AO2 R M IH0 NG +BARNUM B AA1 R N AH0 M +BARNWELL B AA1 R N W EH2 L +BARNY B AA1 R N IY0 +BARNYARD B AA1 R N Y AA2 R D +BARO B AA1 R OW0 +BAROID B ER0 OY1 D +BAROMETER B ER0 AA1 M IH0 T ER0 +BAROMETERS B ER0 AA1 M IH0 T ER0 Z +BAROMETRIC B AE2 R AH0 M EH1 T R IH0 K +BARON B AE1 R AH0 N +BARON(2) B EH1 R AH0 N +BARON'S B AE1 R AH0 N Z +BARON'S(2) B EH1 R AH0 N Z +BARONE B ER0 OW1 N +BARONE'S B ER0 OW1 N Z +BARONESS B EH1 R AH0 N IH0 S +BARONET B EH1 R AH0 N AH0 T +BARONET(2) B EH2 R AH0 N EH1 T +BARONETS B EH1 R AH0 N AH0 T S +BARONETS(2) B EH2 R AH0 N EH1 T S +BARONI B AA0 R OW1 N IY0 +BARONS B AE1 R AH0 N Z +BARONS(2) B EH1 R AH0 N Z +BAROODY B ER0 UW1 D IY0 +BAROQUE B ER0 OW1 K +BAROS B AA1 R OW0 Z +BAROVIC B EH1 R AH0 V IH0 K +BAROVSKY B ER0 AA1 V S K IY0 +BARR B AA1 R +BARR'S B AA1 R Z +BARRA B AA1 R AH0 +BARRACK B AE1 R AH0 K +BARRACK(2) B EH1 R AH0 K +BARRACKS B AE1 R AH0 K S +BARRACKS(2) B EH1 R AH0 K S +BARRACLOUGH B AE1 R AH0 K L AW0 +BARRACO B AA0 R AA1 K OW0 +BARRACUDA B EH2 R AH0 K UW1 D AH0 +BARRADINO B EH2 R AH0 D IY1 N OW0 +BARRAGAN B EH1 R AH0 G AH0 N +BARRAGE B ER0 AA1 ZH +BARRAGED B ER0 AA1 ZH D +BARRAGES B ER0 AA1 ZH IH0 Z +BARRANCO B AA0 R AA1 N K OW0 +BARRAS B AE1 R AH0 Z +BARRASSO B AA2 R AA1 S OW0 +BARRATT B AE1 R AH0 T +BARRAZA B AA2 R AA1 Z AH0 +BARRE B EH1 R IY0 +BARRE(2) B AA1 R +BARRECA B AA2 R EH1 K AH0 +BARRED B AA1 R D +BARREDA B AA0 R EY1 D AH0 +BARREIRO B AA0 R EH1 R OW0 +BARREL B AE1 R AH0 L +BARREL(2) B EH1 R AH0 L +BARRELED B AE1 R AH0 L D +BARRELED(2) B EH1 R AH0 L D +BARRELING B AE1 R AH0 L IH0 NG +BARRELING(2) B EH1 R AH0 L IH0 NG +BARRELL B AA0 R EY1 L +BARRELS B AE1 R AH0 L Z +BARRELS(2) B EH1 R AH0 L Z +BARREN B AE1 R AH0 N +BARREN(2) B EH1 R AH0 N +BARRENS B AE1 R AH0 N Z +BARRENTINE B AE1 R AH0 N T AY2 N +BARRERA B AA2 R EH1 R AH0 +BARRERAS B AA0 R EH1 R AA0 Z +BARRES B AA1 R Z +BARRESI B AA2 R EH1 S IY0 +BARRET B AE1 R IH0 T +BARRETO B AA0 R EH1 T OW0 +BARRETT B AE1 R IH0 T +BARRETT(2) B EH1 R IH0 T +BARRETTA B AA0 R EH1 T AH0 +BARRETTE B ER0 EH1 T +BARRETTO B AA0 R EH1 T OW0 +BARRICADA B AA2 R IH0 K AA1 D AH0 +BARRICADE B AE1 R AH0 K EY2 D +BARRICADE(2) B EH1 R AH0 K EY2 D +BARRICADED B AE1 R AH0 K EY2 D IH0 D +BARRICADED(2) B EH1 R AH0 K EY2 D IH0 D +BARRICADES B AE1 R AH0 K EY2 D Z +BARRICADES(2) B EH1 R AH0 K EY2 D Z +BARRICK B AE1 R IH0 K +BARRICK(2) B EH1 R IH0 K +BARRICK'S B AE1 R IH0 K S +BARRICK'S(2) B EH1 R IH0 K S +BARRICKLOW B AE1 R IH0 K L AW0 +BARRICKMAN B AE1 R IH0 K M AH0 N +BARRIE B AE1 R IY0 +BARRIE(2) B EH1 R IY0 +BARRIENTES B ER0 IY1 N T S +BARRIENTEZ B AA0 R IY1 N T EH0 Z +BARRIENTOS B AA0 R IY1 N T OW0 Z +BARRIER B AE1 R IY0 ER0 +BARRIER(2) B EH1 R IY0 ER0 +BARRIERE B AA0 R IH1 R IY0 +BARRIERS B AE1 R IY0 ER0 Z +BARRIERS(2) B EH1 R IY0 ER0 Z +BARRIGA B AA2 R IY1 G AH0 +BARRIGER B AE1 R IH0 G ER0 +BARRILLEAUX B AE1 R IH0 L OW2 +BARRINEAU B AE1 R IH0 N OW2 +BARRING B AA1 R IH0 NG +BARRINGER B AE1 R IH0 NG ER0 +BARRINGS B AA1 R IH0 NG Z +BARRINGTON B AE1 R IH0 NG T AH0 N +BARRINGTON(2) B EH1 R IH0 NG T AH0 N +BARRIO B AA1 R IY0 OW0 +BARRIOS B AA0 R IY1 OW0 Z +BARRIOS(2) B EH0 R IY1 OW0 Z +BARRIS B AE1 R IH0 S +BARRIS(2) B EH1 R IH0 S +BARRISH B AE1 R IH0 SH +BARRISTER B AE1 R IH0 S T ER0 +BARRISTER(2) B EH1 R IH0 S T ER0 +BARRISTERS B AE1 R IH0 S T ER0 Z +BARRISTERS(2) B EH1 R IH0 S T ER0 Z +BARRITT B ER0 IH1 T +BARRO B AA1 R OW0 +BARRON B AE1 R AH0 N 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AA0 R T EY1 L +BARTELS B AA1 R T AH0 L Z +BARTELSON B AA1 R T IH0 L S AH0 N +BARTELT B AA1 R T IH0 L T +BARTEN B AA1 R T AH0 N +BARTENDER B AA1 R T EH2 N D ER0 +BARTENDERS B AA1 R T EH2 N D ER0 Z +BARTER B AA1 R T ER0 +BARTERED B AA1 R T ER0 D +BARTERING B AA1 R T ER0 IH0 NG +BARTH B AA1 R TH +BARTHA B AA1 R TH AH0 +BARTHEL B AA1 R TH AH0 L +BARTHELEMY B AA2 R TH EH1 L AH0 M IY0 +BARTHELME B AA1 R TH AH0 L M +BARTHELME'S B AA1 R TH AH0 L M Z +BARTHES B AA1 R TH S +BARTHOLD B AA1 R TH OW2 L D +BARTHOLDY B AA0 R TH OW1 L D IY0 +BARTHOLOMAY B AA0 R TH AH0 L AA1 M EY0 +BARTHOLOMEW B AA0 R TH AA1 L AH0 M Y UW2 +BARTHOLOW B AA1 R TH AH0 L OW0 +BARTHRAM B AA1 R TH R AE2 M +BARTKO B AA1 R T K OW0 +BARTKOWIAK B ER0 T K AW1 IY0 AE0 K +BARTKOWSKI B ER0 T K AO1 F S K IY0 +BARTKUS B AA1 R T K IH0 S +BARTL B AA1 R T AH0 L +BARTLE B AA1 R T AH0 L +BARTLEBAUGH B AA1 R T AH0 L B AO0 +BARTLES B AA1 R T AH0 L Z +BARTLESON B AA1 R T AH0 L S AH0 N +BARTLESTEIN B AA1 R T AH0 L S T IY2 N +BARTLESTEIN(2) B AA1 R T AH0 L S T AY2 N +BARTLESVILLE B AA1 R T AH0 L Z V IH2 L +BARTLETT B AA1 R T L IH0 T +BARTLETT'S B AA1 R T L AH0 T S +BARTLEY B AA1 R T L IY0 +BARTLING B AA1 R T L IH0 NG +BARTLOW B AA1 R T L OW0 +BARTMAN B AA1 R T M AH0 N +BARTMESS B AA1 R T M IH0 S +BARTNICK B AA1 R T N IH0 K +BARTNICKI B ER0 T N IH1 T S K IY0 +BARTNIK B AA1 R T N IH0 K +BARTO B AA1 R T OW0 +BARTOK B AA1 R T AH0 K +BARTOL B AA1 R T AH0 L +BARTOLETTI B AA0 R T OW0 L EH1 T IY0 +BARTOLI B AA0 R T OW1 L IY0 +BARTOLINI B AA0 R T OW0 L IY1 N IY0 +BARTOLO B AA0 R T OW1 L OW0 +BARTOLOMEI B AA0 R T OW0 L OW0 M EY1 IY0 +BARTOLOMEO B AA0 R T AO0 L AH0 M EY1 OW0 +BARTOLUCCI B AA0 R T OW0 L UW1 CH IY0 +BARTON B AA1 R T AH0 N +BARTON'S B AA1 R T AH0 N Z +BARTONE B AA0 R T OW1 N IY0 +BARTOO B AA1 R CH UW0 +BARTOS B AA1 R T OW0 Z +BARTOSCH B AA1 R T AO0 SH +BARTOSH B AA1 R T AH0 SH +BARTOSIEWICZ B ER0 T AA1 S AH0 V IH0 CH +BARTOSIK B ER0 T OW1 S IH0 K +BARTOSZEK B ER0 T AA1 SH EH0 K +BARTOW B AA1 R T OW2 +BARTRAM B AA1 R T R AE2 M +BARTS B AA1 R T S +BARTSCH B AA1 R CH +BARTUNEK B AA1 R T AH0 N IH0 K +BARTUS B AA1 R T AH0 S +BARTZ B AA1 R T S +BARUCH B AA2 R UW1 K +BARWICK B AA1 R W IH2 K +BARYSHNIKOV B ER0 IH1 SH N IH0 K AA2 V +BARYSHNIKOV'S B ER0 IH1 SH N IH0 K AA2 V Z +BARZ B AA1 R Z +BAS-RELIEF B AA1 R IY0 L IY1 F +BAS-RELIEF(2) B AA1 S R IY0 L IY1 F +BAS-RELIEFS B AA1 R IY0 L IY1 F S +BAS-RELIEFS(2) B AA1 S R IY0 L IY1 F S +BASA B AA1 S AH0 +BASAL B EY1 S AH0 L +BASALDUA B AA0 S AA0 L D UW1 AH0 +BASALT B AH0 S AO1 L T +BASALTS B AH0 S AO1 L T S +BASAM B AH0 S AA1 M +BASARA B AH0 S EH1 R AH0 +BASARA'S B AH0 S EH1 R AH0 Z +BASAYEV B AE1 S AA0 Y EH2 V +BASAYEV(2) B AE1 S AA0 Y EH2 F +BASCAY B AE1 S K EY0 +BASCH B AE1 SH +BASCO B AA1 S K OW0 +BASCOM B AE1 S K AH0 M +BASDEN B AE1 S D AH0 N +BASE B EY1 S +BASE'S B EY1 S AH0 Z +BASEBALL B EY1 S B AO1 L +BASEBALL'S B EY1 S B AO1 L Z +BASEBALLS B EY1 S B AO1 L Z +BASEBOARD B EY1 S B AO2 R D +BASEBOARDS B EY1 S B AO2 R D Z +BASED B EY1 S T +BASEHORE B AE1 S IH0 HH AO0 R +BASEHORE(2) B EY1 S HH AO0 R +BASEL B AA1 Z AH0 L +BASELESS B EY1 S L AH0 S +BASELINE B EY1 S L AY2 N +BASELINES B EY1 S L AY2 N Z +BASEMAN B EY1 S M AH0 N +BASEMENT B EY1 S M AH0 N T +BASEMENTS B EY1 S M AH0 N T S +BASENJI B AH0 S EH1 N JH IY0 +BASER B EY1 S ER0 +BASES B EY1 S AH0 Z +BASES(2) B EY1 S IH0 Z +BASES(3) B EY1 S IY0 Z +BASEY B EY1 S IY0 +BASFORD B AE1 S F ER0 D +BASGALL B AE1 S G AH0 L +BASH B AE1 SH +BASHA B AA1 SH AH0 +BASHAM B AE1 SH AH0 M +BASHAR B AH0 SH AA1 R +BASHAW B AH0 SH AO1 +BASHED B AE1 SH T +BASHER B AE1 SH ER0 +BASHERS B AE1 SH ER0 Z +BASHES B AE1 SH IH0 Z +BASHFORD B AE1 SH F ER0 D +BASHFUL B AE1 SH F AH0 L +BASHFULNESS B AE1 SH F AH0 L N EH2 S +BASHING B AE1 SH IH0 NG +BASHIR B AH0 SH IH1 R +BASHOR B AE1 SH ER0 +BASHORE B AE1 SH ER0 +BASI B AA1 S IY0 +BASI(2) B EY1 S IY0 +BASIC B EY1 S IH0 K +BASIC'S B EY1 S IH0 K S +BASICALLY B EY1 S IH0 K L IY0 +BASICH B AA1 S IH0 HH +BASICS B EY1 S IH0 K S +BASIE B EY1 Z IY0 +BASIL B AE1 Z AH0 L +BASILE B AA1 S AH0 L +BASILIA B AA0 S IY1 L IY0 AH0 +BASILICA B AH0 S IH1 L IH0 K AH0 +BASILICA(2) B AH0 Z IH1 L AH0 K AH0 +BASILIO B AA0 S IY1 L IY0 OW0 +BASIM B AA0 S IY1 M +BASIM'S B AA0 S IY1 M Z +BASIN B EY1 S AH0 N +BASING B EY1 S IH0 NG +BASINGER B EY1 S IH0 NG ER0 +BASINS B EY1 S AH0 N Z +BASINSKI B AH0 S IH1 N S K IY0 +BASIS B EY1 S AH0 S +BASIS(2) B EY1 S IH0 S +BASISTA B AH0 S IH1 S T AH0 +BASIX B EY1 S IH0 K S +BASK B AE1 S K +BASKED B AE1 S K T +BASKERVILLE B AE1 S K ER0 V IH2 L +BASKET B AE1 S K AH0 T +BASKETBALL B AE1 S K AH0 T B AO2 L +BASKETBALL'S B AE1 S K AH0 T B AO2 L Z +BASKETBALLS B AE1 S K AH0 T B AO2 L Z +BASKETMAKER B AE1 S K AH0 T M EY2 K ER0 +BASKETMAKING B AE1 S K AH0 T M EY2 K IH0 NG +BASKETRY B AE1 S K AH0 T R IY0 +BASKETS B AE1 S K AH0 T S +BASKETT B AE1 S K IH0 T +BASKETTE B AH0 S K EH1 T +BASKIN B AE1 S K IH0 N +BASKING B AE1 S K IH0 NG +BASKINS B AE1 S K IH0 N Z +BASKS B AE1 S K S +BASLE B AE1 S AH0 L +BASLER B EY1 Z AH0 L ER0 +BASNER B AE1 S N ER0 +BASNETT B AE1 S 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IH0 Z +BENZEL B EH1 N Z AH0 L +BENZENE B EH0 N Z IY1 N +BENZENE(2) B EH1 N Z IY0 N +BENZES B EH1 N Z IH0 Z +BENZIE B EH1 N Z IY0 +BENZIGER B EH1 N Z IH0 G ER0 +BENZINE B EH1 N Z IY0 N +BENZING B EH1 N Z IH0 NG +BENZINGER B EH1 N Z IH0 NG ER0 +BENZODIAZEPINE B EH2 N Z OW0 D IY0 AE1 Z AH0 P IY0 N +BEOUGHER B AW1 F ER0 +BEOWULF B EY1 AH0 W UH2 L F +BEQUEATH B IH0 K W IY1 TH +BEQUEATHED B AH0 K W IY1 TH T +BEQUEST B IH0 K W EH1 S T +BEQUESTS B IH0 K W EH1 S T S +BEQUETTE B IH0 K EH1 T +BERA B EH1 R AH0 +BERADINO B ER2 AA0 D IY1 N OW0 +BERAN B EH1 R AH0 N +BERANDINO B EH2 R AH0 N D IY1 N OW2 +BERANEK B EH1 R AH0 N IH0 K +BERARD B ER0 AA1 R D +BERARDI B ER0 AA1 R D IY0 +BERARDINELLI B ER0 AA0 R D IY0 N EH1 L IY0 +BERARDINO B ER0 AA0 R D IY1 N OW0 +BERARDO B ER0 AA1 R D OW0 +BERARDUCCI B ER0 AA0 R D UW1 CH IY0 +BERATE B IH0 R EY1 T +BERATED B IH0 R EY1 T IH0 D +BERATING B IH0 R EY1 T IH0 NG +BERBER B ER1 B ER0 +BERBERIAN B ER0 B IH1 R IY0 AH0 N +BERBERICH B ER1 B ER0 IH0 K +BERBICK B ER1 B IH0 K +BERCAW B ER1 K AO0 +BERCH B ER1 K +BERCHENALL B ER1 K AH0 N AA2 L +BERCHTESGADEN B ER1 K T AH0 S G AA2 D AH0 N +BERCHTOLD B ER1 K T OW0 L D +BERCIER B ER1 K IY0 ER0 +BERCOR B ER1 K AO2 R +BERDAHL B ER1 D AA0 L +BERDAN B ER1 D AH0 N +BERDINE B ER0 D IY1 N IY0 +BERE B IH1 R +BEREA B ER0 IY1 AH0 +BEREAVE B ER0 IY1 V +BEREAVED B ER0 IY1 V D +BEREAVEMENT B ER0 IY1 V M AH0 N T +BEREFT B ER0 EH1 F T +BEREGOVOY B ER0 EH1 G AH0 V OY2 +BEREGOVOY(2) B EH2 R AH0 G OW1 V OY2 +BEREGOVOY(3) B EH2 R EH1 G AH0 V OY2 +BEREND B EH1 R EH0 N D +BERENDS B EH1 R EH0 N D Z +BERENDT B EH1 R IH0 N T +BERENDZEN B EH1 R IH0 N D Z AH0 N +BERENS B IH1 R AH0 N Z +BERENSON B EH1 R IH0 N S AH0 N +BERENT B EH1 R AH0 N T +BERES B IY1 R Z +BERESFORD B IH1 R Z F ER0 D +BERET B EH1 R AH0 T +BERET(2) B EH1 R EY0 T +BERETS B EH1 R AH0 T S +BERETS(2) B EH1 R EY0 Z +BERETTA B ER0 EH1 T AH0 +BERETTAS B ER0 EH1 T AH0 S +BEREZINE B IH1 R AH0 Z IY0 N +BEREZINE(2) B IH1 R AH0 Z AY0 N +BERG B ER1 G +BERG'S B ER1 G Z 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R EH0 N +BERGS B ER1 G Z +BERGSCHNEIDER B ER1 G SH N AY0 D ER0 +BERGSMA B EH1 R G Z M AH0 +BERGSTEDT B ER1 G S T EH0 T +BERGSTEIN B ER1 G S T AY2 N +BERGSTEIN(2) B ER1 G S T IY2 N +BERGSTEN B ER1 G S AH0 N +BERGSTRAND B ER1 G S T R AE2 N D +BERGSTRAUSSER B ER1 G S T R AW2 S ER0 +BERGSTRAUSSER'S B ER1 G S T R AW2 S ER0 Z +BERGSTRESSER B ER1 G S T R EH2 S ER0 +BERGSTROM B ER1 G S T R AA0 M +BERGTHOLD B ER1 G TH OW2 L D +BERGUM B ER1 G AH0 M +BERHOW B ER1 HH OW0 +BERIA B EH1 R IY0 AH0 +BERING B EH1 R IH0 NG +BERINGER B EH1 R IH0 NG ER0 +BERISFORD B EH1 R IH0 S F ER0 D +BERISH B ER1 IH0 SH +BERJAYA B ER0 JH AY1 AH0 +BERK B ER1 K +BERKA B ER1 K AH0 +BERKE B ER1 K +BERKEBILE B ER1 K IH0 B AH0 L +BERKEL B ER1 K AH0 L +BERKELEY B ER1 K L IY0 +BERKELEY'S B ER1 K L IY0 Z +BERKELMAN B ER1 K AH0 L M AH0 N +BERKEMEIER B ER1 K IH0 M AY0 ER0 +BERKEN B ER1 K AH0 N +BERKERY B ER1 K ER0 IY0 +BERKES B ER1 K S +BERKEY B ER1 K IY0 +BERKHEIMER B ER1 K HH AY0 M ER0 +BERKLAND B ER1 K L AH0 N D +BERKLEE B ER1 K L IY0 +BERKLEY B ER1 K L IY0 +BERKLINE B ER1 K L AY2 N +BERKMAN B ER1 K M AH0 N +BERKO B ER1 K OW0 +BERKOFF B ER1 K AO0 F +BERKOVITZ B ER1 K AH0 V IH0 T S +BERKOWITZ B ER1 K AH0 W IH0 T S +BERKSHIRE B ER1 K SH ER0 +BERKSHIRE(2) B ER1 K SH AY2 R +BERKSHIRES B ER1 K SH IH2 R Z +BERKSHIRES(2) B ER1 K SH AY2 R Z +BERKSON B ER1 K S AH0 N +BERKSTRESSER B ER1 K S T R IH0 S ER0 +BERLACK B ER1 L AE0 K +BERLAND B ER1 L AH0 N D +BERLANGA B ER0 L AA1 NG G AH0 +BERLASCONE B EH2 R L AH0 S K OW1 N IY0 +BERLASCONE'S B EH2 R L AH0 S K OW1 N IY0 Z +BERLE B ER1 L +BERLE'S B ER1 L Z +BERLES B ER1 L Z +BERLES' B ER1 L Z +BERLET B ER2 L EH1 T +BERLET'S B ER1 L EH1 T S +BERLEX B ER1 L EH2 K S +BERLIN B ER0 L IH1 N +BERLIN'S B ER0 L IH1 N Z +BERLINER B ER0 L IH1 N ER0 +BERLINER(2) B ER0 L AY1 N ER0 +BERLINER'S B ER0 L IH1 N ER0 Z +BERLINER'S(2) B ER0 L AY1 N ER0 Z +BERLINERS B ER0 L IH1 N ER0 Z +BERLINERS(2) B ER0 L AY1 N ER0 Z +BERLING B ER1 L IH0 NG +BERLINGER B ER1 L IH0 NG ER0 +BERLIOZ B ER1 L IY0 OW0 Z 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EH1 R IY0 M AH0 N +BERSCH B ER1 SH +BERSERK B ER0 S ER1 K +BERSHAD B ER0 SH AA1 D +BERSON B ER1 S AH0 N +BERST B ER1 S T +BERSTEIN B ER1 S T IY0 N +BERSTEIN(2) B ER1 S T AY0 N +BERT B ER1 T +BERTA B ER1 T AH0 +BERTCH B ER1 CH +BERTE B ER1 T +BERTELLI B ER0 T EH1 L IY0 +BERTELS B ER1 T AH0 L Z +BERTELSEN B ER1 T IH0 L S AH0 N +BERTELSMANN B ER1 T AH0 L Z M AH0 N +BERTELSMANN'S B ER1 T AH0 L Z M AH0 N Z +BERTELSON B ER1 T IH0 L S AH0 N +BERTH B ER1 TH +BERTHA B ER1 TH AH0 +BERTHELOT B ER1 TH AH0 L AA0 T +BERTHELSEN B ER1 TH AH0 L S AH0 N +BERTHIAUME B ER2 TH IY0 UW1 M IY0 +BERTHOLD B ER1 TH OW2 L D +BERTHOLF B ER1 TH OW0 L F +BERTHS B ER1 TH S +BERTHS(2) B ER1 DH Z +BERTI B EH1 R T IY0 +BERTIE B ER1 T IY0 +BERTIL B ER1 T IH0 L +BERTILDE B ER1 T IH0 L D +BERTIN B ER1 T IH0 N +BERTINI B ER0 T IY1 N IY0 +BERTINO B ER0 T IY1 N OW0 +BERTINOTTI B ER0 T IH0 N AO1 T IY0 +BERTKE B ER1 T K IY0 +BERTLING B ER1 T AH0 L IH0 NG +BERTLING(2) B ER1 T L IH0 NG +BERTOLD B ER1 T OW0 L D +BERTOLDI B ER0 T OW1 L D IY0 +BERTOLI B ER0 T OW1 L IY0 +BERTOLINI B ER0 T OW0 L IY1 N IY0 +BERTOLINO B ER0 T OW0 L IY1 N OW0 +BERTOLOTTI B ER0 T OW0 L OW1 T IY0 +BERTOLUCCI B ER2 T OW0 L UW1 CH IY0 +BERTON B ER1 T AH0 N +BERTONE B ER0 T OW1 N IY0 +BERTONI B ER0 T OW1 N IY0 +BERTRADE B ER1 T R AH0 D +BERTRAM B ER1 T R AH0 M +BERTRAN B ER1 T R AH0 N +BERTRAND B ER1 T R AH0 N D +BERTSCH B ER1 CH +BERTSCHE B ER1 CH +BERTUCCI B ER0 T UW1 CH IY0 +BERTUCCI'S B ER0 T UW1 CH IY0 Z +BERTY B ER1 T IY0 +BERTZ B ER1 T S +BERUBE B EH1 R UW0 B +BERUDI B AH0 R UW1 D IY0 +BERUMEN B IH1 R UW0 M EH0 N +BERWALD B ER1 W AO0 L D +BERWANGER B ER1 W AO0 NG ER0 +BERWICK B ER1 W IH0 K +BERWYN B ER1 W IH0 N +BERYL B EH1 R AH0 L +BERYLLIUM B ER0 IH1 L IY0 AH0 M +BERZIN B ER1 Z IH0 N +BERZINS B ER1 Z IH0 N Z +BES B IY1 Z +BESANCON B IH0 S AE1 N K AH0 N +BESANT B EH1 Z AH0 N T +BESAW B IY1 S AO0 +BESCH B EH1 SH +BESCHLOSS B EH1 SH L AO2 S +BESCHLOSS' B EH1 SH L AO2 S +BESCHLOSS'S B EH1 SH L AO2 S IH0 S +BESECKER B EH1 S IH0 K ER0 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+BIS B IH1 S +BISAILLON B AY1 S AH0 L AA0 N +BISBEE B IH1 S B IY0 +BISBING B IH1 S B IH0 NG +BISCARDI B IH0 S K AA1 R D IY0 +BISCAYNE B IH0 S K EY1 N +BISCEGLIA B IH0 S CH EH1 G L IY0 AH0 +BISCH B IH1 SH +BISCHEL B IH1 SH AH0 L +BISCHOF B IH1 SH AH0 F +BISCHOFBERGER B IH1 SH AO0 F B ER0 G ER0 +BISCHOFF B IH1 S K HH AO0 F +BISCOE B IH0 S K OW1 +BISCOTTI B IH0 S K AO1 T IY0 +BISCUIT B IH1 S K AH0 T +BISCUITS B IH1 S K AH0 T S +BISE B AY1 Z +BISEK B IH1 S IH0 K +BISEL B IH1 S AH0 L +BISER B AY1 Z ER0 +BISESI B IH0 S EH1 S IY0 +BISEXUAL B AY2 S EH1 K SH UW0 AH0 L +BISEXUALITY B AY2 S EH0 K SH UW0 AE1 L AH0 T IY0 +BISEXUALS B AY2 S EH1 K SH UW0 AH0 L Z +BISH B IH1 SH +BISHER B IH1 SH ER0 +BISHOFF B IH1 S HH AO0 F +BISHOP B IH1 SH AH0 P +BISHOP'S B IH1 SH AH0 P S +BISHOPRICS B IH1 SH AH0 P R IH0 K S +BISHOPS B IH1 SH AH0 P S +BISHOPS' B IH1 SH AA0 P S +BISHOPSGATE B IH1 SH AH0 P S G EY2 T +BISIANI B IH0 S IY0 AA1 N IY0 +BISIG B IH1 S IH0 G +BISIGNANO B IH0 S IY0 G N AA1 N OW0 +BISKUP B IH1 S K AH0 P +BISMARCK B IH1 Z M AA2 R K +BISMARCK'S B IH1 Z M AA2 R K S +BISMARK B IH1 Z M AA2 R K +BISMUTH B IH1 Z M AH0 TH +BISON B AY1 S AH0 N +BISPING B IH1 S P IH0 NG +BISQUE B IH1 S K +BISQUIT B IH1 S K IH0 T +BISS B IH1 S +BISSELL B IH1 S AH0 L +BISSEN B IH1 S AH0 N +BISSET B IH1 S IH0 T +BISSETT B IH1 S IH0 T +BISSETTE B IH0 S EH1 T +BISSEY B IH1 S IY0 +BISSINGER B IH1 S IH0 N JH ER0 +BISSO B IY1 S OW0 +BISSON B IH1 S AH0 N +BISSONETTE B IH1 S AH0 N EH0 T +BISSONNETTE B IH1 S AH0 N EH2 T +BISTLINE B IH1 S T L AY2 N +BISTODEAU B IH1 S T AH0 D OW0 +BISTRO B IH1 S T R OW0 +BISUTEKI B IY2 S UW0 T EY1 K IY0 +BISUTEKI'S B IY2 S UW0 T EY1 K IY0 Z +BIT B IH1 T +BITAR B IH1 T ER0 +BITCH B IH1 CH +BITCHES B IH1 CH IH0 Z +BITCHINESS B IH1 CH IY0 N AH0 S +BITCHING B IH1 CH IH0 NG +BITCHY B IH1 CH IY0 +BITCOIN B IH1 T K OY1 N +BITCOINS B IH1 T K OY1 N Z +BITE B AY1 T +BITER B AY1 T ER0 +BITES B AY1 T S +BITESIZE B IH1 T S AY2 Z +BITHER B IH1 DH ER0 +BITING B AY1 T IH0 NG +BITLER B AY1 T AH0 L ER0 +BITLER(2) B AY1 T L ER0 +BITNER B IH1 T N ER0 +BITNEY B IH1 T N IY0 +BITS B IH1 T S +BITSY B IH1 T S IY0 +BITTEL B IH1 T AH0 L +BITTEN B IH1 T AH0 N +BITTENBENDER B IH1 T IH0 N B EH2 N D ER0 +BITTER B IH1 T ER0 +BITTEREST B IH1 T ER0 AH0 S T +BITTERLY B IH1 T ER0 L IY0 +BITTERMAN B IH1 T ER0 M AH0 N +BITTERMAN'S B IH1 T ER0 M AH0 N Z +BITTERMANN B IH1 T ER0 M AH0 N +BITTERMANN'S B IH1 T ER0 M AH0 N Z +BITTERNESS B IH1 T ER0 N AH0 S +BITTERROOT B IH1 T ER0 R UW2 T +BITTERS B IH1 T ER0 Z +BITTERSWEET B IH1 T ER0 S W IY2 T +BITTICK B IH1 T IH0 K +BITTING B IH1 T IH0 NG +BITTINGER B IH1 T IH0 NG ER0 +BITTLE B IH1 T AH0 L +BITTMAN B IH1 T M AH0 N +BITTNER B IH1 T N ER0 +BITTON B IH1 T AH0 N +BITTY B IH1 T IY0 +BITUMEN B IH2 T UW1 M AH0 N +BITUMEN(2) B AY2 T UW1 M AH0 N +BITUMINOUS B IH0 T UW1 M AH0 N AH0 S +BITZ B IH1 T S +BITZER B IH1 T Z ER0 +BIVALVE B AY1 V AE2 L V +BIVALVES B AY1 V AE2 L V Z +BIVEN B AY1 V AH0 N +BIVENS B AY1 V AH0 N Z +BIVIANO B IY2 V IY0 AA1 N OW0 +BIVIN B IH1 V IH0 N +BIVINS B IH1 V IH0 N Z +BIVONA B IH0 V OW1 N AH0 +BIVOUAC B IH1 V W AE0 K +BIWEEKLY B AY0 W IY1 K L IY0 +BIX B IH1 K S +BIXBY B IH1 K S B IY0 +BIXEL B IH1 K S AH0 L +BIXLER B IH1 K S L ER0 +BIZ B IH1 Z +BIZANGO B IH0 Z AE1 NG G OW0 +BIZARRE B AH0 Z AA1 R +BIZARRE(2) B IH0 Z AA1 R +BIZET B IH0 Z EH1 T +BIZMART B IH1 Z M AA2 R T +BIZRATE B IH1 Z EY2 T +BIZUB B IH1 Z AH0 B +BIZZARO B IH0 Z AA1 R OW0 +BIZZELL B IH1 Z AH0 L +BIZZY B IH1 Z IY0 +BJELASNICA B Y EH0 L AE1 S N IH0 K AH0 +BJELLAND B Y EH1 L AH0 N D +BJERKE B Y ER1 K +BJOERN B Y AO1 R N +BJORGE B Y AO1 R G +BJORK B Y AO1 R K +BJORKLUND B Y AO1 R K L AH0 N D +BJORKMAN B Y AO1 R K M AH0 N +BJORN B Y AO1 R N +BJORNSTAD B Y AO1 R N S T AH0 D +BLAB B L AE1 B +BLABBED B L AE1 B D +BLABBER B L AE1 B ER0 +BLABBERS B L AE1 B ER0 Z +BLACHLY B L AA1 CH L IY0 +BLACHLY(2) B L AA1 K L IY0 +BLACK B L AE1 K +BLACK'S B L AE1 K S +BLACKARD B L AE1 K ER0 D +BLACKBALL B L AE1 K B AO2 L +BLACKBERRIES B L AE1 K B EH2 R IY0 Z +BLACKBERRY B L AE1 K B EH2 R IY0 +BLACKBIRD B L AE1 K B ER0 D +BLACKBIRDS B L AE1 K B ER0 D Z +BLACKBOARD B L AE1 K B AO2 R D +BLACKBOARDS B L AE1 K B AO2 R D Z +BLACKBURN B L AE1 K B ER0 N +BLACKED B L AE1 K T +BLACKEN B L AE1 K AH0 N +BLACKENED B L AE1 K AH0 N D +BLACKENING B L AE1 K AH0 N IH0 NG +BLACKENING(2) B L AE1 K N IH0 NG +BLACKENS B L AE1 K AH0 N Z +BLACKER B L AE1 K ER0 +BLACKERBY B L AE1 K ER0 B IY0 +BLACKEST B L AE1 K AH0 S T +BLACKETER B L AE1 K IY0 T ER0 +BLACKETT B L AE1 K IH0 T +BLACKFOOT B L AE1 K F UH2 T +BLACKFORD B L AE1 K F ER0 D +BLACKHAM B L AE1 K HH AH0 M +BLACKHAWK B L AE1 K HH AO2 K +BLACKHAWK'S B L AE1 K HH AO2 K S +BLACKHAWKS B L AE1 K HH AO2 K S +BLACKHEATH B L AE1 K HH IY2 TH +BLACKHURST B L AE1 K HH ER0 S T +BLACKIE B L AE1 K IY0 +BLACKJACK B L AE1 K JH AE2 K +BLACKLEDGE B L AE1 K L EH2 JH +BLACKLEY B L AE1 K L IY0 +BLACKLIST B L AE1 K L IH2 S T +BLACKLISTED B L AE1 K L IH2 S T IH0 D +BLACKLISTING B L AE1 K L IH2 S T IH0 NG +BLACKLOCK B L AE1 K L AA2 K +BLACKMAIL B L AE1 K M EY2 L +BLACKMAILED B L AE1 K M EY2 L D +BLACKMAILING B L AE1 K M EY2 L IH0 NG +BLACKMAN B L AE1 K M AH0 N +BLACKMER B L AE1 K M ER0 +BLACKMON B L AE1 K M AH0 N +BLACKMORE B L AE1 K M AO0 R +BLACKMUN B L AE1 K M AH0 N +BLACKMUN'S B L AE1 K M AH0 N Z +BLACKNESS B L AE1 K N AH0 S +BLACKOUT B L AE1 K AW2 T +BLACKOUTS B L AE1 K AW2 T S +BLACKPOOL B L AE1 K P UW2 L +BLACKROCK B L AE1 K R AA2 K +BLACKS B L AE1 K S +BLACKS' B L AE1 K S +BLACKSBURG B L AE1 K S B ER0 G +BLACKSHEAR B L AE1 K SH IH0 R +BLACKSHER B L AE1 K SH ER0 +BLACKSHIRE B L AE1 K SH AY2 R +BLACKSMITH B L AE1 K S M IH2 TH +BLACKSON B L AE1 K S AH0 N +BLACKSTOCK B L AE1 K S T AA2 K +BLACKSTON B L AE1 K S T AH0 N +BLACKSTONE B L AE1 K S T OW2 N +BLACKSTONE'S B L AE1 K S T OW2 N Z +BLACKTOP B L AE1 K T AA2 P +BLACKWELDER B L AE1 K W EH2 L D ER0 +BLACKWELL B L AE1 K W EH2 L +BLACKWOOD B L AE1 K W UH2 D +BLADDER B L AE1 D ER0 +BLADDERS B L AE1 D ER0 Z +BLADE B L EY1 D +BLADED B L EY1 D IH0 D +BLADEN B L EY1 D AH0 N +BLADES B L EY1 D Z +BLADING B L EY1 D IH0 NG +BLADOW B L AE1 D OW0 +BLAESE B L EY1 Z +BLAESING B L EH1 S IH0 NG +BLAGDEN B L AE1 G D AH0 N +BLAGG B L AE1 G +BLAH B L AA1 +BLAHA B L AA1 HH AH0 +BLAHNIK B L AA1 N IH0 K +BLAHUT B L AE1 HH AH0 T +BLAICH B L EY1 CH +BLAIKIE B L EY1 K IY0 +BLAIN B L EY1 N +BLAINE B L EY1 N +BLAIR B L EH1 R +BLAIR'S B L EH1 R Z +BLAIS B L EH1 Z +BLAISDELL B L EY1 S D AH0 L +BLAISE B L EY1 Z +BLAISER B L EY1 Z ER0 +BLAIZE B L EY1 Z +BLAKE B L EY1 K +BLAKE'S B L EY1 K S +BLAKELEY B L EY1 K L IY0 +BLAKELEY'S B L EY1 K L IY0 Z +BLAKELY B L EY1 K L IY0 +BLAKELY'S B L EY1 K L IY0 Z +BLAKEMAN B L EY1 K M AH0 N +BLAKEMORE B L EY1 K M AO0 R +BLAKENEY B L EY1 K N IY0 +BLAKENEY'S B L EY1 K N IY0 Z +BLAKENHAM B L EY1 K AH0 N HH AE2 M +BLAKENSHIP B L EY1 K AH0 N SH IH0 P +BLAKER B L EY1 K ER0 +BLAKES B L EY1 K S +BLAKESLEE B L EY1 K S L IY0 +BLAKESLEY B L EY1 K S L IY0 +BLAKEY B L EY1 K IY0 +BLAKLEY B L AE1 K L IY0 +BLAKNEY B L AE1 K N IY0 +BLALACK B L AE1 L AH0 K +BLALOCK B L AE1 L AA0 K +BLAME B L EY1 M +BLAMED B L EY1 M D +BLAMELESS B L EY1 M L AH0 S +BLAMES B L EY1 M Z +BLAMESTRORM B L EY1 M S T AO2 R M +BLAMING B L EY1 M IH0 NG +BLAMPIED B L AE1 M P IY0 D +BLAN B L AE1 N +BLANC B L AE1 NG K +BLANCA B L AA1 NG K AH0 +BLANCETT B L AE1 N S IH0 T +BLANCH B L AE1 N CH +BLANCHARD B L AE1 N CH ER0 D +BLANCHARD'S B L AE1 N CH ER0 D Z +BLANCHARDS B L AE1 N CH ER0 D Z +BLANCHE B L AE1 N CH +BLANCHET B L AE1 N K IH0 T +BLANCHETT B L AE1 N CH IH0 T +BLANCHETTE B L AH0 N SH EH1 T +BLANCHFIELD B L AE1 N CH F IY2 L D +BLANCK B L AE1 NG K +BLANCMANGE B L AH0 M AA1 N JH +BLANCO B L AE1 NG K OW0 +BLAND B L AE1 N D +BLANDA B L AE1 N D AH0 +BLANDER B L AE1 N D ER0 +BLANDFORD B L AE1 N D F AO0 R D +BLANDIN B L AE1 N D IH0 N +BLANDING B L AE1 N D IH0 NG +BLANDINO B L AA0 N D IY1 N OW0 +BLANDISHMENT B L AE1 N D IH0 SH M AH0 N T +BLANDISHMENTS B L AE1 N D IH0 SH M AH0 N T S +BLANDLY B L AE1 N D L IY0 +BLANDNESS B L AE1 N D N AH0 S +BLANDO B L AE1 N D OW0 +BLANDON B L AE1 N D IH0 N +BLANE B L EY1 N +BLANEY B L EY1 N IY0 +BLANFORD B L AE1 N F ER0 D +BLANK B L AE1 NG K +BLANKE B L AE1 NG K +BLANKED B L AE1 NG K T +BLANKEN B L AE1 NG K AH0 N +BLANKENBAKER B L AE1 NG K AH0 N B EY2 K ER0 +BLANKENBECKLER B L AE1 NG K AH0 N B EH2 K L ER0 +BLANKENBURG B L AE1 NG K AH0 N B ER0 G +BLANKENHORN B L AE1 NG K IH0 N HH ER0 N +BLANKENSHIP B L AE1 NG K AH0 N SH IH2 P +BLANKET B L AE1 NG K AH0 T +BLANKET(2) B L AE1 NG K IH0 T +BLANKETED B L AE1 NG K AH0 T IH0 D +BLANKETING B L AE1 NG K AH0 T IH0 NG +BLANKETS B L AE1 NG K AH0 T S +BLANKIE B L AE1 NG K IY2 +BLANKIES B L AE1 NG K IY2 Z +BLANKING B L AE1 NG K IH0 NG +BLANKINSHIP B L AE1 NG K IH0 N SH IH0 P +BLANKLEY B L AE1 NG K L IY0 +BLANKLY B L AE1 NG K L IY0 +BLANKLY'S B L AE1 NG K L IY0 Z +BLANKS B L AE1 NG K S +BLANKY B L AE1 NG K IY2 +BLANN B L AE1 N +BLANQUITA B L AA0 N K IY1 T AH0 +BLANSETT B L AE1 N S IH0 T +BLANTON B L AE1 N T AH0 N +BLARE B L EH1 R +BLARED B L EH1 R D +BLARES B L EH1 R Z +BLARING B L EH1 R IH0 NG +BLAS B L AA1 S +BLASCHKE B L AE1 SH K +BLASCO B L AA1 S K OW0 +BLASDEL B L AE1 S D AH0 L +BLASDELL B L AE1 S D AH0 L +BLASE B L EY1 Z +BLASER B L EY1 Z ER0 +BLASI B L EY1 Z IY0 +BLASIA B L AA1 S IY0 AH0 +BLASIER B L EY1 Z IY0 ER0 +BLASIER(2) B L EY1 ZH ER0 +BLASIER'S B L EY1 Z IY0 ER0 Z +BLASIER'S(2) B L EY1 ZH ER0 Z +BLASING B L EY1 Z IH0 NG +BLASINGAME B L AA0 S IH0 NG G AA1 M IY0 +BLASINI B L AH0 S IY1 N IY0 +BLASIO B L AE1 Z IY0 OW2 +BLASIUS B L EY1 S IY0 IH0 S +BLASKE B L EY1 S K +BLASKO B L AA1 S K OW0 +BLASPHEMOUS B L AE1 S F AH0 M AH0 S +BLASPHEMY B L AE1 S F AH0 M IY0 +BLASS B L AE1 S +BLASSIE B L AE1 S IY0 +BLASSIE'S B L AE1 S IY0 Z +BLASSINGAME B L AA0 S IH0 NG G AA1 M IY0 +BLAST B L AE1 S T +BLASTDOWN B L AE1 S T D AW2 N +BLASTED B L AE1 S T AH0 D +BLASTED(2) B L AE1 S T IH0 D +BLASTER B L AE1 S T ER0 +BLASTFURNACE B L AE1 S T F ER2 N AH0 S +BLASTING B L AE1 S T IH0 NG +BLASTODERM B L AE1 S T AH0 D ER0 M +BLASTOFF B L AE1 S T AO2 F +BLASTOMA B L AE2 S T OW1 M AH0 +BLASTS B L AE1 S T S +BLASZAK B L AA1 SH AH0 K +BLASZCZYK B L AA1 SH CH IH0 K +BLATANT B L EY1 T AH0 N T +BLATANTLY B L EY1 T AH0 N T L IY0 +BLATCHFORD B L AE1 CH F ER0 D +BLATCHLEY B L AE1 CH L IY0 +BLATHER B L AE1 DH ER0 +BLATNIK B L AE1 T N IH0 K +BLATT B L AE1 T +BLATTER B L AE1 T ER0 +BLATTNER B L AE1 T N ER0 +BLATZ B L AE1 T S +BLAU B L AW1 +BLAUCH B L AO1 CH +BLAUER B L AW1 R +BLAUM B L AO1 M +BLAUSER B L AW1 S ER0 +BLAUSTEIN B L AW1 S T AY0 N +BLAUSTEIN(2) B L AW1 S T IY0 N +BLAUVELT B L AW1 V IH0 L T +BLAY B L EY1 +BLAYDES B L EY1 D Z +BLAYDON B L EY1 D AH0 N +BLAYLOCK B L EY1 L AH0 K +BLAYNE B L EY1 N +BLAYNEY B L EY1 N IY0 +BLAYZE B L EY1 Z +BLAZE B L EY1 Z +BLAZED B L EY1 Z D +BLAZEJEWSKI B L AH0 Z EY0 EH1 F S K IY0 +BLAZEK B L AA1 Z EH0 K +BLAZER B L EY1 Z ER0 +BLAZERS B L EY1 Z ER0 Z +BLAZES B L EY1 Z IH0 Z +BLAZIER B L EY1 Z IY0 ER0 +BLAZINA B L AA0 Z IY1 N AH0 +BLAZING B L EY1 Z IH0 NG +BLEA B L IY1 +BLEACH B L IY1 CH +BLEACHED B L IY1 CH T +BLEACHER B L IY1 CH ER0 +BLEACHERS B L IY1 CH ER0 Z +BLEACHING B L IY1 CH IH0 NG +BLEAK B L IY1 K +BLEAKER B L IY1 K ER0 +BLEAKEST B L IY1 K AH0 S T +BLEAKLEY B L IY1 K L IY0 +BLEAKNESS B L IY1 K N AH0 S +BLEAKNEY B L IY1 K N IY0 +BLEAM B L IY1 M +BLEARY B L IH1 R IY0 +BLEAU B L OW1 +BLECH B L EH1 K +BLECH'S B L EH1 K S +BLECHA B L EH1 CH AH0 +BLECHER B L EH1 K ER0 +BLECHLEY B L EH1 K L IY0 +BLECHMAN B L EH1 K M AH0 N +BLECK B L EH1 K +BLECKER B L EH1 K ER0 +BLED B L EH1 D +BLEDSOE B L EH1 D S OW0 +BLEECKER B L IY1 K ER0 +BLEED B L IY1 D +BLEEDING B L IY1 D IH0 NG +BLEEDS B L IY1 D Z +BLEEKER B L IY1 K ER0 +BLEEP B L IY1 P +BLEEPING B L IY1 P IH0 NG +BLEGEN B L EH1 G AH0 N +BLEHM B L EH1 M +BLEICH B L AY1 K +BLEICHER B L AY1 K ER0 +BLEIER B L AY1 ER0 +BLEIL B L IY1 L +BLEILER B L AY1 L ER0 +BLEILERS B L AY1 L ER0 Z +BLELLOCH B L EH1 L AA0 K +BLEMISH B L EH1 M IH0 SH +BLEMISHED B L EH1 M IH0 SH T +BLEMISHES B L EH1 M IH0 SH IH0 Z +BLEND B L EH1 N D +BLENDA B L EH1 N D AH0 +BLENDAX B L EH1 N D AE2 K S +BLENDED B L EH1 N D IH0 D +BLENDER B L EH1 N D ER0 +BLENDERS B L EH1 N D ER0 Z +BLENDING B L EH1 N D IH0 NG +BLENDS B L EH1 N D Z +BLENHEIM B L EH1 N HH AY2 M +BLEPHARISMA B L EH2 F ER0 IH1 Z M AH0 +BLESER B L IY1 Z ER0 +BLESS B L EH1 S +BLESSED B L EH1 S T +BLESSEDLY B L EH1 S AH0 D L IY0 +BLESSEDNESS B L EH1 S AH0 D N AH0 S +BLESSES B L EH1 S IH0 Z +BLESSING B L EH1 S IH0 NG +BLESSINGER B L EH1 S IH0 NG ER0 +BLESSINGS B L EH1 S IH0 NG Z +BLESSINGTON B L EH1 S IH0 NG T AH0 N +BLEST B L EH1 S T +BLETHEN B L EH1 TH AH0 N +BLEU B L UW1 +BLEVENS B L IY1 V AH0 N Z +BLEVINS B L EH1 V IH0 N Z +BLEW B L UW1 +BLEWETT B L UW1 IH0 T +BLEWITT B L UW1 IH0 T +BLEY B L EY1 +BLICK B L IH1 K +BLICKENSTAFF B L IH1 K IH0 N S T AH0 F +BLIDA B L AY1 D AH0 +BLIGH B L AY1 +BLIGHT B L AY1 T +BLIGHTED B L AY1 T IH0 D +BLILEY B L AY1 L IY0 +BLIMP B L IH1 M P +BLIMPS B L IH1 M P S +BLINCOE B L IH0 N K OW1 +BLIND B L AY1 N D +BLINDED B L AY1 N D IH0 D +BLINDER B L AY1 N D ER0 +BLINDER'S B L AY1 N D ER0 Z +BLINDERS B L AY1 N D ER0 Z +BLINDFOLD B L AY1 N D F OW2 L D +BLINDFOLDED B L AY1 N D F OW2 L D IH0 D +BLINDING B L AY1 N D IH0 NG +BLINDLY B L AY1 N D L IY0 +BLINDNESS B L AY1 N D N AH0 S +BLINDS B L AY1 N D Z +BLINDSIDE B L AY1 N D S AY2 D +BLINDSIDED B L AY1 N D S AY2 D IH0 D +BLINK B L IH1 NG K +BLINKED B L IH1 NG K T +BLINKEN B L IH1 NG K AH0 N +BLINKING B L IH1 NG K IH0 NG +BLINKS B L IH1 NG K S +BLINN B L IH1 N +BLIP B L IH1 P +BLIPS B L IH1 P S +BLISCOLL B L IH1 S K AO0 L +BLISH B L IH1 SH +BLISS B L IH1 S +BLISS' B L IH1 S +BLISSETT B L IH1 S IH0 T +BLISSFUL B L IH1 S F AH0 L +BLISSFULLY B L IH1 S F AH0 L IY0 +BLISTER B L IH1 S T ER0 +BLISTERED B L IH1 S T ER0 D +BLISTERING B L IH1 S T ER0 IH0 NG +BLISTERS B L IH1 S T ER0 Z +BLITCH B L IH1 CH +BLITHE B L AY1 DH +BLITHELY B L AY1 TH L IY0 +BLITSTEIN B L IH1 T S T IY0 N +BLITSTEIN(2) B L IH1 T S T AY0 N +BLITZ B L IH1 T S +BLITZED B L IH1 T S T +BLITZEN B L IH1 T S AH0 N +BLITZER B L IH1 T S ER0 +BLITZER'S B L IH1 T S ER0 Z +BLITZES B L IH1 T S IH0 Z +BLITZKRIEG B L IH1 T S K R IY2 G +BLIVEN B L AY1 V AH0 N +BLIXT B L IH1 K S T +BLIZARD B L IH1 Z ER0 D +BLIZZARD B L IH1 Z ER0 D +BLIZZARDS B L IH1 Z ER0 D Z +BLOAT B L OW1 T +BLOATED B L OW1 T IH0 D +BLOATEDNESS B L OW1 T IH0 D N AH0 S +BLOATING B L OW1 T IH0 NG +BLOATS B L OW1 T S +BLOB B L AA1 B +BLOBBY B L AA1 B IY0 +BLOBS B L AA1 B Z +BLOC B L AA1 K +BLOC'S B L AA1 K S +BLOCH B L AA1 K +BLOCH'S B L AA1 K S +BLOCHER B L AA1 K ER0 +BLOCK B L AA1 K +BLOCK'S B L AA1 K S +BLOCKADE B L AA2 K EY1 D +BLOCKADED B L AA2 K EY1 D IH0 D +BLOCKADER B L AA2 K EY1 D ER0 +BLOCKADERS B L AA2 K EY1 D ER0 Z +BLOCKADES B L AA2 K EY1 D Z +BLOCKADING B L AA2 K EY1 D IH0 NG +BLOCKAGE B L AA1 K IH0 JH +BLOCKAGES B L AA1 K IH0 JH IH0 Z +BLOCKBUSTER B L AA1 K B AH2 S T ER0 +BLOCKBUSTER'S B L AA1 K B AH2 S T ER0 Z +BLOCKBUSTERS B L AA1 K B AH2 S T ER0 Z +BLOCKCHAIN B L AA1 K CH EY1 N +BLOCKED B L AA1 K T +BLOCKER B L AA1 K ER0 +BLOCKERS B L AA1 K ER0 Z +BLOCKHEAD B L AA1 K HH EH2 D +BLOCKHEADS B L AA1 K HH EH2 D Z +BLOCKHOUSE B L AA1 K HH AW2 S +BLOCKHOUSES B L AA1 K HH AW2 S AH0 Z +BLOCKING B L AA1 K IH0 NG +BLOCKS B L AA1 K S +BLOCS B L AA1 K S +BLODGETT B L AA1 JH IH0 T +BLOEDEL B L OW1 D AH0 L +BLOEDORN B L OW1 D ER0 N +BLOEM B L OW1 M +BLOEMER B L OW1 M ER0 +BLOEMKER B L OW1 M K ER0 +BLOG B L AO1 G +BLOGGER B L AO1 G ER0 +BLOGGERS B L AO1 G ER0 Z +BLOGGING B L AO1 G IH0 NG +BLOGOSPHERE B L AO1 G AH0 S F IH2 R +BLOGOSPHERE(2) B L AO1 G AO0 S F IY1 R +BLOGS B L AO1 G Z +BLOHM B L OW1 M +BLOK B L AA1 K +BLOKE B L OW1 K +BLOKES B L OW1 K S +BLOM B L AA1 M +BLOMBERG B L AA1 M B ER0 G +BLOME B L OW1 M +BLOMGREN B L AA1 M G R EH0 N +BLOMKVIST B L AA1 M K W IH2 S T +BLOMQUIST B L AA1 M K W IH2 S T +BLOMSTROM B L AA1 M S T R AH0 M +BLOND B L AA1 N D +BLONDE B L AA1 N D +BLONDE'S B L AA1 N D Z +BLONDELL B L AA1 N D AH0 L +BLONDER B L AA1 N D ER0 +BLONDES B L AA1 N D Z +BLONDEST B L AA1 N D AH0 S T +BLONDIE B L AA1 N D IY0 +BLONDIN B L AA1 N D IH0 N +BLONDS B L AA1 N D Z +BLOOD B L AH1 D +BLOOD'S B L AH1 D Z +BLOODBATH B L AH1 D B AE2 TH +BLOODED B L AH1 D IH0 D +BLOODGOOD B L AH1 D G UH2 D +BLOODHOUND B L AH1 D HH AW0 N D +BLOODHOUNDS B L AH1 D HH AW0 N D Z +BLOODHOUNDS(2) B L AH1 D HH AW0 N Z +BLOODIED B L AH1 D IY0 D +BLOODIER B L AH1 D IY0 ER0 +BLOODIEST B L AH1 D IY0 AH0 S T +BLOODLESS B L AH1 D L AH0 S +BLOODLETTING B L AH1 D L EH2 T IH0 NG +BLOODLINE B L AH1 D L AY2 N +BLOODLINES B L AH1 D L AY2 N Z +BLOODS B L AH1 D Z +BLOODSHED B L AH1 D SH EH2 D +BLOODSTAIN B L AH1 D S T EY2 N +BLOODSTAINED B L AH1 D S T EY2 N D +BLOODSTAINS B L AH1 D S T EY2 N Z +BLOODSTONE B L AH1 D S T OW2 N +BLOODSTREAM B L AH1 D S T R IY2 M +BLOODSUCKER B L AH1 D S AH2 K ER0 +BLOODSUCKERS B L AH1 D S AH2 K ER0 Z +BLOODSUCKING B L AH1 D S AH2 K IH0 NG +BLOODSWORTH B L AH1 D Z W ER2 TH +BLOODTHIRSTY B L AH1 D TH ER2 S T IY0 +BLOODWORTH B L AH1 D W ER2 TH +BLOODY B L AH1 D IY0 +BLOOM B L UW1 M +BLOOM'S B L UW1 M Z +BLOOMBERG B L UW1 M B ER0 G +BLOOMBERG'S B L UW1 M B ER0 G Z +BLOOMED B L UW1 M D +BLOOMER B L UW1 M ER0 +BLOOMERS B L UW1 M ER0 Z +BLOOMFIELD B L UW1 M F IY2 L D +BLOOMING B L UW1 M IH0 NG +BLOOMINGDALE B L UW1 M IH0 NG D EY2 L +BLOOMINGDALE'S B L UW1 M IH0 NG D EY2 L Z +BLOOMINGDALES B L UW1 M IH0 NG D EY2 L Z +BLOOMINGTON B L UW1 M IH0 NG T AH0 N +BLOOMQUIST B L UW1 M K W IH2 S T +BLOOMS B L UW1 M Z +BLOOPER B L UW1 P ER0 +BLOOPERS B L UW1 P ER0 Z +BLOOR B L UH1 R +BLOSE B L OW1 Z +BLOSS B L AO1 S +BLOSSER B L AO1 S ER0 +BLOSSOM B L AA1 S AH0 M +BLOSSOMED B L AA1 S AH0 M D +BLOSSOMING B L AA1 S AH0 M IH0 NG +BLOSSOMS B L AA1 S AH0 M Z +BLOT B L AA1 T +BLOTCH B L AA1 T CH +BLOTCHED B L AA1 T CH T +BLOTCHES B L AA1 T CH AH0 Z +BLOTCHIER B L AA1 T CH IY0 ER0 +BLOTCHIEST B L AA1 T CH IY0 AH0 S T +BLOTCHING B L AA1 T CH IH0 NG +BLOTCHY B L AA1 T CH IY0 +BLOTNICK B L AA1 T N IH0 K +BLOTS B L AA1 T S +BLOTTED B L AA1 T AH0 D +BLOTTER B L AA1 T ER0 +BLOTTING B L AA1 T IH0 NG +BLOUCH B L AW1 CH +BLOUGH B L AW1 +BLOUIN B L W IY1 N +BLOUNT B L AW1 N T +BLOUSE B L AW1 S +BLOUSES B L AW1 S AH0 Z +BLOUSES(2) B L AW1 S IH0 Z +BLOW B L OW1 +BLOWDRIED B L OW1 D R AY2 D +BLOWDRIES B L OW1 D R AY2 Z +BLOWDRY B L OW1 D R AY2 +BLOWDRYER B L OW1 D R AY2 ER0 +BLOWDRYERS B L OW1 D R AY2 ER0 Z +BLOWDRYING B L OW1 D R AY2 IH0 NG +BLOWE B L OW1 +BLOWED B L OW1 D +BLOWER B L OW1 ER0 +BLOWERS B L OW1 ER0 Z +BLOWFISH B L OW1 F IH0 SH +BLOWGUN B L OW1 G AH2 N +BLOWGUNS B L OW1 G AH2 N Z +BLOWHARD B L OW1 HH AA2 R D +BLOWHARDS B L OW1 HH AA2 R D Z +BLOWHOLE B L OW1 HH OW2 L +BLOWHOLES B L OW1 HH OW2 L Z +BLOWIER B L OW1 IY0 ER0 +BLOWIEST B L OW1 IY0 AH0 S T +BLOWING B L OW1 IH0 NG +BLOWJOB B L OW1 JH AA2 B +BLOWJOBS B L OW1 JH AA2 B Z +BLOWN B L OW1 N +BLOWOUT B L OW1 AW2 T +BLOWOUTS B L OW1 AW2 T S +BLOWPIPE B L OW1 P AY2 P +BLOWPIPES B L OW1 P AY2 P S +BLOWS B L OW1 Z +BLOWTORCH B L OW1 T AO2 R CH +BLOWTORCHES B L OW1 T AO2 R CH AH0 Z +BLOWUP B L OW1 AH2 P +BLOWY B L OW1 IY0 +BLOXHAM B L AA1 K S AH0 M +BLOXOM B L AA1 K S AH0 M +BLOXSOM B L AA1 K S AH0 M +BLOYD B L OY1 D +BLOYER B L OY1 ER0 +BLUBAUGH B L AH1 B AO0 +BLUBBER B L AH1 B ER0 +BLUDGEON B L AH1 JH AH0 N +BLUDGEONED B L AH1 JH AH0 N D +BLUDGEONING B L AH1 JH AH0 N IH0 NG +BLUE B L UW1 +BLUE'S B L UW1 Z +BLUEBEARD B L UW1 B IY2 R D +BLUEBELL B L UW1 B EH2 L +BLUEBELLS B L UW1 B EH2 L Z +BLUEBERRIES B L UW1 B EH2 R IY0 Z +BLUEBERRY B L UW1 B EH2 R IY0 +BLUEBIRD B L UW1 B ER2 D +BLUEBIRDS B L UW1 B ER2 D Z +BLUEBLOOD B L UW1 B L AH2 D +BLUEBLOODED B L UW1 B L AH2 D AH0 D +BLUEBLOODS B L UW1 B L AH2 D Z +BLUEBONNET B L UW1 B AA2 N AH0 T +BLUEBONNETS B L UW1 B AA2 N AH0 T S +BLUEBOTTLE B L UW1 B AO2 T AH0 L +BLUEBOTTLES B L UW1 B AO2 T AH0 L Z +BLUECHIP B L UW1 CH IH2 P +BLUECOLLAR B L UW1 K AO2 L ER0 +BLUED B L UW1 D +BLUEEYED B L UW1 AY0 D +BLUEFIELD B L UW1 F IY2 L D +BLUEGRASS B L UW1 G R AE2 S +BLUEING B L UW1 IH0 NG +BLUEISH B L UW1 IH0 SH +BLUEJACKET B L UW1 JH AE2 K IH0 T +BLUEJAY B L UW1 JH EY2 +BLUEJEANS B L UW1 JH IY0 N Z +BLUELAW B L UW1 L AA2 +BLUEMEL B L UH1 M AH0 L +BLUENESS B L UW1 N AH0 S +BLUEPENCIL B L UW1 P EH2 N S AH0 L +BLUEPENCILLED B L UW1 P EH2 N S AH0 L D +BLUEPENCILLING B L UW1 P EH2 N S AH0 L IH0 NG +BLUEPENCILS B L UW1 P EH2 N S AH0 L Z +BLUEPRINT B L UW1 P R IH2 N T +BLUEPRINTS B L UW1 P R IH2 N T S +BLUER B L UW1 ER0 +BLUES B L UW1 Z +BLUES' B L UW1 Z +BLUEST B L UW1 AH0 S T +BLUESTEIN B L UH1 S T AY0 N +BLUESTEIN(2) B L UH1 S T IY0 N +BLUESTINE B L UW1 S T AY2 N +BLUESTONE B L UW1 S T OW2 N +BLUESY B L UW1 Z IY0 +BLUESY(2) B L UW1 AH0 S IY0 +BLUETOOTH B L UW1 T UW2 TH +BLUETT B L UW1 T +BLUEY B L UW1 IY0 +BLUFF B L AH1 F +BLUFFED B L AH1 F T +BLUFFER B L AH1 F ER0 +BLUFFING B L AH1 F IH0 NG +BLUFFS B L AH1 F S +BLUFORD B L UW1 F ER0 D +BLUHDORN B L AH1 D AO2 R N +BLUHM B L AH1 M +BLUING B L UW1 IH0 NG +BLUISH B L UW1 IH0 SH +BLUITT B L UW1 T +BLUM B L UW1 M +BLUMBERG B L AH1 M B ER0 G +BLUME B L UW1 M +BLUMENBERG B L UW1 M EH0 N B ER0 G +BLUMENFELD B L UW1 M IH0 N F EH0 L D +BLUMENSCHEIN B L AH1 M IH0 N SH AY0 N +BLUMENSHINE B L AH1 M IH0 N SH AY0 N +BLUMENSTEIN B L UW1 M EH0 N S T AY0 N +BLUMENSTEIN(2) B L UW1 M EH0 N S T IY0 N +BLUMENSTOCK B L UW1 M EH0 N S T AA0 K +BLUMENTHAL B L UW1 M AH0 N TH AO2 L +BLUMER B L UW1 M ER0 +BLUMQUIST B L AH1 M K W IH0 S T +BLUMSTEIN B L AH1 M S T AY0 N +BLUMSTEIN(2) B L AH1 M S T IY0 N +BLUNCK B L AH1 NG K +BLUNDALL B L AH1 N D AH0 L +BLUNDELL B L AH1 N D AH0 L +BLUNDER B L AH1 N D ER0 +BLUNDERED B L AH1 N D ER0 D +BLUNDERING B L AH1 N D ER0 IH0 NG +BLUNDERS B L AH1 N D ER0 Z +BLUNK B L AH1 NG K +BLUNT B L AH1 N T +BLUNTED B L AH1 N T AH0 D +BLUNTED(2) B L AH1 N T IH0 D +BLUNTER B L AH1 N T ER0 +BLUNTEST B L AH1 N T AH0 S T +BLUNTING B L AH1 N T IH0 NG +BLUNTLY B L AH1 N T L IY0 +BLUNTNESS B L AH1 N T N AH0 S +BLUNTS B L AH1 N T S +BLUR B L ER1 +BLURB B L ER1 B +BLURBS B L ER1 B Z +BLURRED B L ER1 D +BLURRING B L ER1 IH0 NG +BLURRY B L ER1 IY0 +BLURS B L ER1 Z +BLURT B L ER1 T +BLURTED B L ER1 T IH0 D +BLURTON B L ER1 T AH0 N +BLURTS B L ER1 T S +BLUSH B L AH1 SH +BLUSHED B L AH1 SH T 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R D IH0 NG Z +BOARDMAN B AO1 R D M AH0 N +BOARDROOM B AO1 R D R UW2 M +BOARDROOMS B AO1 R D R UW2 M Z +BOARDS B AO1 R D Z +BOARDWALK B AO1 R D W AO2 K +BOARDWALKS B AO1 R D W AO2 K S +BOARMAN B AO1 R M AH0 N +BOART B AO1 R T +BOAS B OW1 AH0 Z +BOASE B OW1 Z +BOAST B OW1 S T +BOASTED B OW1 S T AH0 D +BOASTED(2) B OW1 S T IH0 D +BOASTFUL B OW1 S T F AH0 L +BOASTING B OW1 S T IH0 NG +BOASTS B OW1 S T S +BOAT B OW1 T +BOAT'S B OW1 T S +BOATED B OW1 T IH0 D +BOATERS B OW1 T ER0 Z +BOATHOUSE B OW1 T HH AW1 S +BOATING B OW1 T IH0 NG +BOATLIFT B OW1 T L IH2 F T +BOATLIFT'S B OW1 T L IH2 F T S +BOATLIFTS B OW1 T L IH2 F T S +BOATLOAD B OW1 T L OW2 D +BOATLOADS B OW1 T L OW2 D Z +BOATMAN B OW1 T M AH0 N +BOATMEN'S B OW1 T M EH0 N Z +BOATNER B OW1 T N ER0 +BOATRIGHT B OW1 T R AY2 T +BOATS B OW1 T S +BOATSWAIN B OW1 T S W EY0 N +BOATWRIGHT B OW1 T R AY2 T +BOATYARD B OW1 T Y AA2 R D +BOAZ B OW1 AE0 Z +BOB B AA1 B +BOB'S B AA1 B Z +BOBACK B OW1 B AE2 K +BOBADILLA B OW0 B AA0 D IH1 L AH0 +BOBAK B OW1 B AH0 K +BOBB B AA1 B +BOBBER B AA1 B ER0 +BOBBETT B AA1 B IH0 T +BOBBETTE B AA1 B EH1 T +BOBBI B AA1 B IY0 +BOBBIE B AA1 B IY0 +BOBBIN B AA1 B AH0 N +BOBBING B AA1 B IH0 NG +BOBBINGER B AA1 B IH0 NG ER0 +BOBBINGER'S B AA1 B IH0 NG ER0 Z +BOBBITT B AA1 B IH0 T +BOBBITT'S B AA1 B IH0 T S +BOBBITTS B AA1 B IH0 T S +BOBBLE B AO1 B AH0 L +BOBBLED B AO1 B AH0 L D +BOBBLES B AO1 B AH0 L Z +BOBBLING B AO1 B L IH0 NG +BOBBO B AA1 B OW0 +BOBBY B AA1 B IY0 +BOBBY'S B AA1 B IY0 Z +BOBCAT B AA1 B K AE2 T +BOBCATS B AA1 B K AE2 T Z +BOBE B OW1 B +BOBECK B OW1 B EH2 K +BOBEK B OW1 B IH0 K +BOBER B AA1 B ER0 +BOBERG B OW1 B ER0 G +BOBICK B AA1 B IH0 K +BOBIER B OW1 B IY0 ER0 +BOBINSKI B AH0 B IH1 N S K IY0 +BOBLITT B AH0 B L IH1 T +BOBO B OW1 B OW0 +BOBOLAS B OW1 B OW0 L AH0 S +BOBROW B AA1 B R OW2 +BOBROWSKI B AH0 B R AO1 F S K IY0 +BOBSLED B AA1 B S L EH2 D +BOBST B AA1 B S T +BOBZIEN B AA1 B Z IY0 N +BOCA B OW1 K AH0 +BOCANEGRA B OW2 K AH0 N EH1 G R AH0 +BOCCE B OW1 CH IY0 +BOCCE(2) B OW1 K AH0 +BOCCHINO B OW2 K IY1 N OW0 +BOCCIA B OW1 CH AH0 +BOCCIO B OW1 CH IY0 OW0 +BOCCUZZI B OW0 K UW1 T S IY0 +BOCEK B OW1 CH EH2 K +BOCH B AA1 K +BOCHAROV B AA1 CH ER0 AA0 V +BOCHCO B AA1 CH K OW0 +BOCHE B AA1 CH +BOCHENEK B AA1 K IH0 N IH0 K +BOCHES B AA1 CH IH0 Z +BOCHICCHIO B OW0 K IY1 K IY0 OW0 +BOCHNER B AA1 K N ER0 +BOCHRAM B AA1 K R AH0 M +BOCIAN B OW1 SH AH0 N +BOCK B AA1 K +BOCKELMAN B AA1 K AH0 L M AH0 N +BOCKIUS B AA1 K IY0 AH0 S +BOCKMAN B AA1 K M AH0 N +BOCKUS B AA1 K AH0 S +BOCOCK B AA1 K AH0 K +BOCOOK B AA1 K UH0 K +BOCUSE B OW0 K Y UW1 Z +BODA B OW1 D AH0 +BODAMER B AA1 D AH0 M ER0 +BODANIS B OW0 D AA1 N IH0 S +BODDEN B AA1 D AH0 N +BODDIE B AA1 D IY0 +BODDINGTON B AA1 D IH0 NG T AH0 N +BODDY B AA1 D IY0 +BODE B OW1 D +BODEGA B OW0 D EY1 G AH0 +BODEGAS B OW0 D EY1 G AH0 S +BODEGUITA B OW2 D EH0 G IY1 D AH0 +BODEGUITA(2) B OW2 D AH0 G IY1 D AH0 +BODELL B AH0 D EH1 L +BODEN B OW1 D AH0 N +BODENHAMER B AA1 D IH0 N HH AH0 M ER0 +BODENHAMER(2) B OW1 D IH0 N HH AH0 M ER0 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AH0 L +BRAMBLES B R AE1 M B AH0 L Z +BRAMBLETT B R AE1 M B L IH0 T +BRAME B R EY1 M +BRAMEL B R AE1 M AH0 L +BRAMER B R EY1 M ER0 +BRAMHALL B R AE1 M HH AH0 L +BRAMLAGE B R AE1 M L IH0 JH +BRAMLET B R AE1 M L IH0 T +BRAMLETT B R AE1 M L IH0 T +BRAMLETTE B R AE2 M L EH1 T +BRAMLEY B R AE1 M L IY0 +BRAMMEIER B R AE1 M AY0 ER0 +BRAMMER B R AE1 M ER0 +BRAMPTON B R AE1 M P T AH0 N +BRAMS B R AE1 M Z +BRAMSON B R AE1 M S AH0 N +BRAMWELL B R AE1 M W EH2 L +BRAN B R AE1 N +BRANAGAN B R AE1 N AH0 G AE0 N +BRANAGH B R AE1 N AH0 G +BRANAM B R AE1 N AH0 M +BRANAMAN B R AE1 N AH0 M AH0 N +BRANAN B R EY1 N AH0 N +BRANCA B R AE1 NG K AH0 +BRANCACCIO B R AA0 N K AA1 CH IY0 OW0 +BRANCATO B R AA0 N K AA1 T OW0 +BRANCH B R AE1 N CH +BRANCH'S B R AE1 N CH IH0 Z +BRANCHE B R AE1 N CH +BRANCHEAU B R AH0 N SH OW1 +BRANCHED B R AE1 N CH T +BRANCHES B R AE1 N CH AH0 Z +BRANCHES(2) B R AE1 N CH IH0 Z +BRANCHING B R AE1 N CH IH0 NG +BRANCHLET B R AE1 N CH L AH0 T +BRANCHLETS B R AE1 N CH L AH0 T S +BRANCO B R AE1 NG K OW0 +BRAND B R AE1 N D +BRAND'S B R AE1 N D Z +BRAND-NEW B R AE1 N D N UW2 +BRANDA B R AE1 N D AH0 +BRANDAU B R AE1 N D AW0 +BRANDE B R AE1 N D +BRANDEBERRY B R AE1 N D B EH0 R IY0 +BRANDED B R AE1 N D IH0 D +BRANDEIS B R AE1 N D AY0 S +BRANDEL B R AE1 N D AH0 L +BRANDEN B R AE1 N D AH0 N +BRANDENBERG B R AE1 N D AH0 N B ER0 G +BRANDENBERGER B R AE1 N D AH0 N B ER0 G ER0 +BRANDENBURG B R AE1 N D AH0 N B ER0 G +BRANDENBURGER B R AE1 N D AH0 N B ER0 G ER0 +BRANDENSTEIN B R AE1 N D EH0 N S T AY2 N +BRANDENSTEIN(2) B R AE1 N D EH0 N S T IY2 N +BRANDER B R AE1 N D ER0 +BRANDES B R AE1 N D Z +BRANDFORD B R AE1 N D F ER0 D +BRANDHORST B R AE1 N D HH AO0 R S T +BRANDI B R AE1 N D IY0 +BRANDING B R AE1 N D IH0 NG +BRANDIS B R AE1 N D IH0 S +BRANDISH B R AE1 N D IH0 SH +BRANDISHED B R AE1 N D IH0 SH T +BRANDISHES B R AE1 N D IH0 SH IH0 Z +BRANDISHING B R AE1 N D IH0 SH IH0 NG +BRANDL B R AE1 N D AH0 L +BRANDLE B R AE1 N D AH0 L +BRANDNAME B R AE1 N D N EY2 M +BRANDNER B R AE1 N D N ER0 +BRANDNEW B R AE1 N D N UW2 +BRANDO B R AE1 N D OW0 +BRANDO'S B R AE1 N D OW0 Z +BRANDON B R AE1 N D AH0 N +BRANDON'S B R AE1 N D AH0 N Z +BRANDOW B R AE1 N D AW2 +BRANDS B R AE1 N D Z +BRANDS' B R AE1 N D Z +BRANDS'S B R AE1 N D Z IH0 Z +BRANDSTETTER B R AE1 N D S T IH0 T ER0 +BRANDT B R AE1 N T +BRANDTNER B R AE1 N T N ER0 +BRANDVOLD B R AE1 N D V OW2 L D +BRANDWEIN B R AE1 N D W AY2 N +BRANDY B R AE1 N D IY0 +BRANDYWINE B R AE1 N D IY0 W AY2 N +BRANER B R EY1 N ER0 +BRANFORD B R AE1 N F ER0 D +BRANHAM B R AE1 N HH AH0 M +BRANI B R AE1 N IY0 +BRANIFF B R AE1 N IH0 F +BRANIFF'S B R AE1 N IH0 F S +BRANIGAN B R AE1 N IH0 G AH0 N +BRANILLO B R AH0 N IH1 L OW0 +BRANIN B R AE1 N IH0 N +BRANISLOV B R AE1 N IH0 S L AA2 V +BRANITZKY B R AH0 N IH1 T S K IY2 +BRANK B R AE1 NG K +BRANK'S B R AE1 NG K S +BRANKI B R AE1 NG K IY0 +BRANKO B R AE1 NG K OW0 +BRANKS B R AE1 NG K S +BRANN B R AE1 N +BRANNA B R AE1 N AH0 +BRANNAM B R AE1 N AH0 M +BRANNAN B R AE1 N AH0 N +BRANNEN B R AE1 N AH0 N +BRANNER B R AE1 N ER0 +BRANNICK B R AE1 N IH0 K +BRANNIGAN B R AE1 N IH0 G AH0 N +BRANNING B R AE1 N IH0 NG +BRANNOCK B R AE1 N AH0 K +BRANNON B R AE1 N AH0 N +BRANNUM B R AE1 N AH0 M +BRANON B R AE1 N AH0 N +BRANSCOM B R AE1 N S K AH0 M +BRANSCOMB B R AE1 N S K AH0 M +BRANSCOME B R AE1 N Z K AH2 M +BRANSCUM B R AE1 N S K AH0 M +BRANSFIELD B R AE1 N Z F IY2 L D +BRANSFORD B R AE1 N S F ER0 D +BRANSOM B R AE1 N S AH0 M +BRANSON B R AE1 N S AH0 N +BRANSON'S B R AE1 N S AH2 N Z +BRANSTAD B R AE1 N S T AE2 D +BRANSTETTER B R AE1 N S T IH0 T ER0 +BRANT B R AE1 N T +BRANTLEY B R AE1 N T L IY0 +BRANTLY B R AE1 N T L IY0 +BRANTNER B R AE1 N T N ER0 +BRANTON B R AE1 N T AH0 N +BRANUM B R AE1 N AH0 M +BRANYON B R AE1 N Y AH0 N +BRANZ B R AE1 N Z +BRAQUE B R AE1 K +BRAS B R AE1 S +BRAS(2) B R AA1 S +BRASCADE B R AH0 S K EY1 D +BRASCAN B R AE1 S K AH0 N +BRASCH B R AE1 SH +BRASCO B R AE1 S K OW0 +BRASE B R EY1 Z +BRASEL B R AE1 S AH0 L +BRASELTON B R AH0 S EH1 L T AH0 N +BRASFIELD B R AE1 S F IY0 L D +BRASH B R AE1 SH +BRASHEAR B R AE1 SH IY0 R +BRASHEARS B R AE1 SH IY0 R Z +BRASHER B R AE1 SH ER0 +BRASHERS B R AE1 SH ER0 Z +BRASHIER B R AE1 SH IY0 ER0 +BRASHNESS B R AE1 SH N AH0 S +BRASIL B R AE1 S AH0 L +BRASIL(2) B R AH0 S IY1 L +BRASILIA B R AH0 Z IH1 L Y AH0 +BRASILIA(2) B R AH0 S IH1 L Y AH0 +BRASINGTON B R AE1 S IH0 NG T AH0 N +BRASOW B R AE1 S OW0 +BRASOW(2) B R AE1 Z OW0 +BRASS B R AE1 S +BRASSARD B R AE1 S ER0 D +BRASSEAUX B R AH0 S OW1 +BRASSELL B R AE1 S AH0 L +BRASSERIE B R AE1 S ER0 IY0 +BRASSES B R AE1 S IH0 Z +BRASSEUR B R AE1 S ER2 +BRASSEUX B R AA1 S UH2 +BRASSFIELD B R AE1 S F IY2 L D +BRASSO B R AE1 S OW0 +BRASSO'S B R AE1 S OW0 Z +BRASSY B R AE1 S IY0 +BRASWELL B R AE1 S W EH0 L +BRAT B R AE1 T +BRATCHER B R AE1 CH ER0 +BRATON B R AE1 T IH0 N +BRATS B R AE1 T S +BRATSCH B R AE1 CH +BRATT B R AE1 T +BRATTAIN B R AH0 T EY1 N +BRATTASLAVA B R AA2 T AH0 S L AA1 V AH0 +BRATTASLAVA'S B R AA2 T AH0 S L AA1 V AH0 Z +BRATTEN B R AE1 T AH0 N +BRATTIN B R AE1 T IH0 N 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AH0 +BRAWER B R AO1 ER0 +BRAWL B R AO1 L +BRAWLEY B R AO1 L IY0 +BRAWLING B R AO1 L IH0 NG +BRAWLS B R AO1 L Z +BRAWN B R AO1 N +BRAWNER B R AO1 N ER0 +BRAWNY B R AO1 N IY0 +BRAXTON B R AE1 K S T AH0 N +BRAY B R EY1 +BRAYBOY B R EY1 B OY2 +BRAYER B R EY1 ER0 +BRAYFIELD B R EY1 F IY2 L D +BRAYMAN B R EY1 M AH0 N +BRAYTON B R EY1 T AH0 N +BRAZ B R AE1 Z +BRAZDA B R AE1 Z D AH0 +BRAZEAL B R AH0 Z IY1 L +BRAZEAU B R AH0 Z OW1 +BRAZEE B R AE1 Z IY0 +BRAZEL B R AE1 Z AH0 L +BRAZELL B R AE1 Z AH0 L +BRAZELTON B R AH0 Z EH1 L T AH0 N +BRAZEN B R EY1 Z AH0 N +BRAZENLY B R EY1 Z AH0 N L IY0 +BRAZENNESS B R EY1 Z AH0 N AH0 S +BRAZIEL B R AH0 Z IY1 L +BRAZIER B R EY1 Z IY0 ER0 +BRAZIERS B R EY1 ZH ER0 Z +BRAZIL B R AH0 Z IH1 L +BRAZIL'S B R AH0 Z IH1 L Z +BRAZILE B R AA1 Z AY0 L +BRAZILIAN B R AH0 Z IH1 L Y AH0 N +BRAZILIANS B R AH0 Z IH1 L Y AH0 N Z +BRAZILL B R AE1 Z AH0 L +BRAZOS B R AA1 Z OW0 S +BRAZZAVILLE B R AE1 Z AH0 V IH0 L +BRAZZAVILLE'S B R AE1 Z AH0 V IH0 L Z +BRAZZEL B R AE1 Z AH0 L +BRAZZELL B R AE1 Z AH0 L +BRCA B R IH1 K AH0 +BRCKO B ER1 CH K OW0 +BRCKO'S B ER1 CH K OW0 Z +BREA B R IY1 +BREACH B R IY1 CH +BREACHED B R IY1 CH T +BREACHES B R IY1 CH IH0 Z +BREACHING B R IY1 CH IH0 NG +BREAD B R EH1 D +BREADBASKET B R EH1 D B AE2 S K AH0 T +BREADBOX B R EH1 D B AA2 K S +BREADCRUMB B R EH1 D K R AH1 M +BREADED B R EH1 D IH0 D +BREADFRUIT B R EH1 D F R UW2 T +BREADING B R EH1 D IH0 NG +BREADS B R EH1 D Z +BREADTH B R EH1 D TH +BREADWINNER B R EH1 D W IH2 N ER0 +BREADWINNERS B R EH1 D W IH2 N ER0 Z +BREADY B R EH1 D IY0 +BREAK B R EY1 K +BREAK-IN B R EY1 K IH2 N +BREAKABLE B R EY1 K AH0 B AH0 L +BREAKAGE B R EY1 K IH0 JH +BREAKAWAY B R EY1 K AH0 W EY2 +BREAKDOWN B R EY1 K D AW2 N +BREAKDOWNS B R EY1 K D AW2 N Z +BREAKER B R EY1 K ER0 +BREAKERS B R EY1 K ER0 Z +BREAKEVEN B R EY1 K IY2 V AH0 N +BREAKEY B R EY1 K IY0 +BREAKFAST B R EH1 K F AH0 S T +BREAKFASTS B R EH1 K F AH0 S T S +BREAKFIELD B R EY1 K F IY2 L D +BREAKING B R EY1 K IH0 NG +BREAKMATE B R EY1 K M EY2 T +BREAKNECK B R EY1 K N EH2 K +BREAKOUT B R EY1 K AW2 T +BREAKOUTS B R EY1 K AW2 T S +BREAKS B R EY1 K S +BREAKTHROUGH B R EY1 K TH R UW2 +BREAKTHROUGHS B R EY1 K TH R UW2 Z +BREAKUP B R EY1 K AH2 P +BREAKUPS B R EY1 K AH0 P S +BREAKWATER B R EY1 K W AO2 T ER0 +BREAKY B R EY1 K IY0 +BREAM B R IY1 M +BREAN B R IY1 N +BREARLEY B R ER1 L IY0 +BREAST B R EH1 S T +BREASTED B R EH1 S T AH0 D +BREASTED(2) B R EH1 S T IH0 D +BREASTFED B R EH1 S T F EH2 D +BREASTFEED B R EH1 S T F IY0 D +BREASTFEEDING B R EH1 S T F IY0 D IH0 NG +BREASTFEEDING'S B R EH1 S T F IY0 D IH0 NG Z +BREASTFEEDS B R EH1 S T F IY0 D Z +BREASTING B R EH1 S T IH0 NG +BREASTPLATE B R EH1 S T P L EY2 T +BREASTS B R EH1 S T S +BREATH B R EH1 TH +BREATHE B R IY1 DH +BREATHED B R IY1 DH D +BREATHER B R IY1 DH ER0 +BREATHES B R IY1 DH Z +BREATHING B R IY1 DH IH0 NG +BREATHLESS B R EH1 TH L AH0 S +BREATHLESSLY B R EH1 TH L AH0 S L IY0 +BREATHS B R EH1 TH S +BREATHTAKING B R EH1 TH T EY2 K IH0 NG +BREATHTAKINGLY B R EH1 TH T EY2 K IH0 NG L IY0 +BREATHY B R EH1 TH IY0 +BREAU B R OW1 +BREAULT B R OW1 +BREAUX B R OW1 +BREAUX(2) B R UW1 +BREAZEALE B R IY1 Z IY2 L +BREBACH B R EH1 B AH0 K +BRECHBILL B R EH1 K B AH0 L +BRECHEEN B R EH1 K IY0 N +BRECHEISEN B R EH1 K AY0 S AH0 N +BRECHER B R EH1 K ER0 +BRECHT B R EH1 K T +BRECHTEL B R EH1 K T AH0 L +BRECK B R EH1 K +BRECKENRIDGE B R EH1 K AH0 N R IH2 JH +BRECKER B R EH1 K ER0 +BRECO B R EH1 K OW0 +BRED B R EH1 D +BREDA B R EY1 D AH0 +BREDE B R IY1 D +BREDEN B R IY1 D AH0 N +BREDESON B R EH1 D IH0 S AH0 N +BREE B R IY1 +BREECE B R IY1 S +BREECH B R IY1 CH +BREECHES B R IY1 CH IH0 Z +BREECHING B R IY1 CH IH0 NG +BREED B R IY1 D +BREED'S B R IY1 D Z +BREEDEN B R IY1 D AH0 N +BREEDEN'S B R IY1 D AH0 N Z +BREEDER B R IY1 D ER0 +BREEDERS B R IY1 D ER0 Z +BREEDERS' B R IY1 D ER0 Z +BREEDING B R IY1 D IH0 NG +BREEDLOVE B R IY1 D L AH2 V +BREEDS B R IY1 D Z +BREELAND B R IY1 L AH0 N D +BREEN B R IY1 N +BREES B R IY1 Z +BREESE B R IY1 Z +BREEZE B R IY1 Z +BREEZED B R IY1 Z D +BREEZES B R IY1 Z IH0 Z +BREEZEWAY B R IY1 Z W EY2 +BREEZY B R IY1 Z IY0 +BREGE B R IY1 JH +BREGER B R IY1 G ER0 +BREGLIO B R EH1 G L IY0 OW0 +BREGMAN B R EH1 G M AH0 N +BREGUET B R IY1 G AH0 T +BREHM B R EH1 M +BREHMER B R EH1 M ER0 +BREIDENBACH B R AY1 D IH0 N B AA0 K +BREIDENSTEIN B R AY1 D AH0 N S T AY0 N +BREIDENSTEIN(2) B R AY1 D AH0 N S T IY0 N +BREIER B R AY1 ER0 +BREIGHNER B R EY1 N ER0 +BREIGHTON B R AY1 T AH0 N +BREINER B R AY1 N ER0 +BREINING B R AY1 N IH0 NG +BREININGER B R AY1 N IH0 NG ER0 +BREISCH B R AY1 SH +BREIT B R IY1 T +BREITBACH B R AY1 T B AA2 K +BREITBARTH B R AY1 T B AA2 R TH +BREITENBACH B R AY1 T IH0 N B AA0 K +BREITENSTEIN B R AY1 T AH0 N S T AY0 N +BREITENSTEIN(2) B R AY1 T AH0 N S T IY0 N +BREITHAUPT B R AY1 TH AW0 P T +BREITKREUTZ B R AY1 T K R OY2 T S +BREITLING B R AY1 T AH0 L IH0 NG +BREITLING(2) B R AY1 T L IH0 NG +BREITMAN B R AY1 T M AH0 N +BREITSCHWERDT B R AY1 CH W ER0 T +BREITWEISER B R AY1 T W AY2 S ER0 +BREITZMAN B R AY1 T S M AH0 N +BREKKE B R EH1 K +BRELAND B R EH1 L AH0 N D +BRELSFORD B R EH1 L S F ER0 D +BREM B R EH1 M +BREMEN B R EH1 M AH0 N +BREMER B R IY1 M ER0 +BREMMER B R EH1 M ER0 +BREMNER B R EH1 M N ER0 +BREMS B R EH1 M Z +BREN B R EH1 N +BRENDA B R EH1 N D AH0 +BRENDA'S B R EH1 N D AH0 Z +BRENDAN B R EH1 N D AH0 N +BRENDEL B R EH1 N D AH0 L +BRENDEN B R EH1 N D AH0 N +BRENDER B R EH1 N D ER0 +BRENDLE B R EH1 N D AH0 L +BRENDLINGER B R EH1 N D AH0 L IH0 NG ER0 +BRENDLINGER(2) B R EH1 N D L IH0 NG ER0 +BRENDON B R EH1 N D AH0 N +BRENDOR B R EH1 N D ER0 +BRENDSEL B R EH1 N D S AH0 L +BRENEMAN B R IY1 N M AH0 N +BRENER B R IY1 N ER0 +BRENES B R IY1 N Z +BRENGLE B R IH1 NG AH0 L +BRENIZER B R EH1 N AY0 Z ER0 +BRENN B R EH1 N +BRENNA B R EH1 N AH0 +BRENNAN B R EH1 N AH0 N +BRENNAN'S B R EH1 N AH0 N Z +BRENNANS B R EH1 N AH0 N Z +BRENNECKE B R EH1 N IH0 K +BRENNEKE B R EH1 N AH0 K IY0 +BRENNEMAN B R EH1 N M AH0 N +BRENNEN B R EH1 N AH0 N +BRENNER B R EH1 N ER0 +BRENNING B R EH1 N IH0 NG +BRENSINGER B R EH1 N S IH0 NG ER0 +BRENT B R EH1 N T +BRENTANO B R EH2 N T AA1 N OW0 +BRENTANOS B R EH2 N T AA1 N OW0 Z +BRENTLINGER B R EH1 N T AH0 L IH0 NG ER0 +BRENTLINGER(2) B R EH1 N T L IH0 NG ER0 +BRENTON B R EH1 N T AH0 N +BRENTS B R EH1 N T S +BRENTWOOD B R EH1 N T W UH2 D +BREON B R IY1 AH0 N +BRESCA B R EH1 S K AH0 +BRESCIA B R EH1 S CH AH0 +BRESEE B R IH0 S IY1 +BRESETTE B R IH0 S EH1 T +BRESHEARS B R EH1 SH IY0 R Z +BRESLAW B R EH1 S L AA0 +BRESLER B R EH1 S L ER0 +BRESLIN B R EH1 S L IH0 N +BRESLOW B R EH1 S L OW0 +BRESNAHAN B R EH1 S N AH0 HH AE0 N +BRESNAN B R EH1 S N AH0 N +BRESNICK B R EH1 S N IH0 K +BRESS B R EH1 S +BRESSE B R EH1 S +BRESSEAU B R EH1 S OW0 +BRESSER B R EH1 S ER0 +BRESSER'S B R EH1 S ER0 Z +BRESSETTE B R EH2 S EH1 T +BRESSLER B R EH1 S L ER0 +BRESSMAN B R EH1 S M AH0 N +BRESSON B R EH1 S AH0 N +BREST B R EH1 S T +BRESTER B R EH1 S T ER0 +BRET B R EH1 T +BRETH B R EH1 TH +BRETHAUER B R EH1 TH AW0 ER0 +BRETHEN B R IY1 TH AH0 N +BRETHREN B R EH1 DH R AH0 N +BRETON B R EH1 T AH0 N 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B R IH1 JH AH0 Z +BRIDGES(2) B R IH1 JH IH0 Z +BRIDGESTONE B R IH1 JH S T OW2 N +BRIDGESTONE'S B R IH1 JH S T OW2 N Z +BRIDGET B R IH1 JH AH0 T +BRIDGET(2) B R IH1 JH IH0 T +BRIDGET'S B R IH1 JH AH0 T S +BRIDGETON B R IH1 JH T AH0 N +BRIDGETOWN B R IH1 JH T AW2 N +BRIDGETT B R IH1 JH IH0 T +BRIDGETTE B R IH1 JH IH0 T +BRIDGETTE(2) B R IH2 JH IY1 T +BRIDGEWATER B R IH1 JH W AO2 T ER0 +BRIDGHAM B R IH1 JH HH AH0 M +BRIDGING B R IH1 JH IH0 NG +BRIDGMAN B R IH1 JH M AH0 N +BRIDIE B R IH1 D IY0 +BRIDLE B R AY1 D AH0 L +BRIDLED B R AY1 D AH0 L D +BRIDWELL B R IH1 D W EH2 L +BRIE B R IY1 +BRIEANT B R IY1 AH0 N T +BRIEF B R IY1 F +BRIEFCASE B R IY1 F K EY2 S +BRIEFCASES B R IY1 F K EY2 S IH0 Z +BRIEFED B R IY1 F T +BRIEFER B R IY1 F ER0 +BRIEFERS B R IY1 F ER0 Z +BRIEFEST B R IY1 F AH0 S T +BRIEFING B R IY1 F IH0 NG +BRIEFINGS B R IY1 F IH0 NG Z +BRIEFLY B R IY1 F L IY0 +BRIEFS B R IY1 F S +BRIEGEL B R IY1 G AH0 L +BRIEGER B R IY1 G ER0 +BRIEL B R IY1 L +BRIEN B R AY1 IH0 N +BRIENZA B R IY1 N 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R IY0 OW1 N EH0 S +BRIONY B R AY1 AH0 N IY2 +BRIONY'S B R AY1 AH0 N IY2 Z +BRIQUEMONT B R IH1 K M AO0 N T +BRISBANE B R IH1 Z B EY2 N +BRISBIN B R IH1 Z B IH0 N +BRISBOIS B R IH0 Z B W AA1 +BRISBOIS(2) B R IH1 Z B W AA2 +BRISBON B R IH1 Z B AH0 N +BRISBURG B R IH1 S B ER0 G +BRISCO B R IY1 S K OW0 +BRISCOE B R IH1 S K OW0 +BRISENDINE B R IH1 S IH0 N D AY2 N +BRISENO B R IY0 S EH1 N OW0 +BRISENO'S B R IY0 S EH1 N OW0 Z +BRISK B R IH1 S K +BRISKER B R IH1 S K ER0 +BRISKET B R IH1 S K AH0 T +BRISKEY B R IH1 S K IY0 +BRISKI B R IH1 S K IY0 +BRISKIN B R IH1 S K IH0 N +BRISKLY B R IH1 S K L IY0 +BRISKY B R IH1 S K IY0 +BRISLIN B R IH1 S L IH0 N +BRISON B R IH1 S AH0 N +BRISSETTE B R IH0 S EH1 T +BRISSEY B R IH1 S IY0 +BRISSON B R IH1 S AH0 N +BRISTER B R IH1 S T ER0 +BRISTLE B R IH1 S AH0 L +BRISTLED B R IH1 S AH0 L D +BRISTLES B R IH1 S AH0 L Z +BRISTLING B R IH1 S AH0 L IH0 NG +BRISTLING(2) B R IH1 S L IH0 NG +BRISTOL B R IH1 S T AH0 L +BRISTOL'S B R IH1 S T AH0 L Z +BRISTOW B R IH1 S T 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+BRITTS B R IH1 T S +BRITZ B R IH1 T S +BRIX B R IH1 K S +BRIXEY B R IH1 K S IY0 +BRIXIUS B R AY1 K S IY0 IH0 S +BRIZENDINE B R IY0 Z EH0 N D IY1 N IY0 +BRIZILL B R IH0 Z IH1 L +BRIZOLA B R IH0 Z OW1 L AH0 +BRIZZI B R IH1 Z IY0 +BRIZZOLARA B R IY0 T S OW0 L AA1 R AH0 +BRO B R OW1 +BRO'S B R OW1 Z +BROACH B R OW1 CH +BROACHED B R OW1 CH T +BROACHES B R OW1 CH IH0 Z +BROACHING B R OW1 CH IH0 NG +BROAD B R AO1 D +BROAD'S B R AO1 D Z +BROADACRE B R AO1 D EY0 K ER0 +BROADAWAY B R AO1 D AH0 W EY2 +BROADBAND B R AO1 D B AE2 N D +BROADBASE B R AO1 D B EY2 S +BROADBASED B R AO1 D B EY2 S T +BROADBEACH B R AO1 D B IY2 CH +BROADBENT B R AO1 D B EH2 N T +BROADCAST B R AO1 D K AE2 S T +BROADCASTER B R AO1 D K AE2 S T ER0 +BROADCASTER'S B R AO1 D K AE2 S T ER0 Z +BROADCASTERS B R AO1 D K AE2 S T ER0 Z +BROADCASTERS' B R AO1 D K AE2 S T ER0 Z +BROADCASTING B R AO1 D K AE2 S T IH0 NG +BROADCASTING'S B R AO1 D K AE2 S T IH0 NG Z +BROADCASTS B R AO1 D K AE2 S T S +BROADDUS B R AO1 D IH0 S +BROADEN B R AO1 D AH0 N +BROADENED B R AO1 D AH0 N D +BROADENING B R AO1 D AH0 N IH0 NG +BROADENING(2) B R AO1 D N IH0 NG +BROADENS B R AO1 D AH0 N Z +BROADER B R AO1 D ER0 +BROADEST B R AO1 D IH0 S T +BROADHEAD B R AO1 D HH EH2 D +BROADHURST B R AO1 D HH ER0 S T +BROADIE B R AO1 D IY0 +BROADLEY B R AO1 D L IY0 +BROADLY B R AO1 D L IY0 +BROADNAX B R AO1 D N AE0 K S +BROADPFOOT B R AO1 D F UH0 T +BROADRICK B R AO1 D R IH0 K +BROADSIDE B R AO1 D S AY2 D +BROADSIDED B R AO1 D S AY2 D IH0 D +BROADSTREET B R AO1 D S T R IY2 T +BROADSWORD B R AO1 D S AO2 R D +BROADUS B R OW1 D AH0 S +BROADVIEW B R AO1 D V Y UW2 +BROADWAY B R AO1 D W EY2 +BROADWAY'S B R AO1 D W EY2 Z +BROADWELL B R AO1 D W EH2 L +BROADY B R AO1 D IY0 +BROBDINGNAGIAN B R AO2 B D IH0 G N AE1 G IY0 AH0 N +BROBDINGNAGIANS B R AO2 B D IH0 G N AE1 G IY0 AH0 N Z +BROBECK B R OW1 B EH2 K +BROBERG B R OW1 B ER0 G +BROBST B R AA1 B S T +BROC B R AA1 K +BROCADE B R OW0 K EY1 D +BROCADES B R OW0 K EY1 D Z +BROCATO B R OW0 K AA1 T OW0 +BROCCO B R AA1 K OW0 +BROCCOLI B R AA1 K AH0 L IY0 +BROCCOLI(2) B R AA1 K L IY0 +BROCE B R OW1 S +BROCHU B R OW1 K UW0 +BROCHURE B R OW0 SH UH1 R +BROCHURES B R OW0 SH UH1 R Z +BROCIOUS B R AH0 SH IY1 S +BROCK B R AA1 K +BROCK'S B R AA1 K S +BROCKBANK B R AA1 K B AH0 NG K +BROCKEL B R AA1 K AH0 L +BROCKER B R AA1 K ER0 +BROCKERT B R AA1 K ER0 T +BROCKETT B R AA1 K IH0 T +BROCKHAUS B R AA1 K HH AW2 S +BROCKHOFF B R AA1 K HH AO2 F +BROCKHOUSE B R AA1 K HH AW2 S +BROCKIE B R AA1 K IY0 +BROCKINGTON B R AA1 K IH0 NG T AH0 N +BROCKLEHURST B R AA1 K AH0 L HH ER0 S T +BROCKLEY B R AA1 K L IY0 +BROCKLIN B R AA1 K L IH0 N +BROCKLIN'S B R AA1 K L IH0 N Z +BROCKMAN B R AA1 K M AH0 N +BROCKMANN B R AA1 K M AH0 N +BROCKMEIER B R AA1 K M AY0 ER0 +BROCKMEYER B R AA1 K M AY0 ER0 +BROCKNER B R AA1 K N ER0 +BROCKSMITH B R AA1 K S M IH2 TH +BROCKTON B R AA1 K T AH0 N +BROCKWAY B R AA1 K W EY2 +BROCKWAY'S B R AA1 K W EY2 Z +BROCKWELL B R AA1 K W EH2 L +BROD B R AA1 D +BRODA B R OW1 D AH0 +BRODBECK B R AA1 D B EH2 K +BRODE B R OW1 D +BRODEN B R OW1 D AH0 N +BRODER B R OW1 D ER0 +BRODER'S B R OW1 D ER0 Z +BRODERBUND B R OW1 T ER0 B AH0 N D +BRODERICK B R AA1 D ER0 IH0 K +BRODERICK(2) B R AA1 D R IH0 K +BRODERICK'S B R AA1 D ER0 IH0 K Z +BRODERICK'S(2) B R AA1 D R IH0 K Z +BRODERSEN B R AA1 D ER0 S AH0 N +BRODERSOHN B R OW1 T ER0 S AH0 N +BRODERSON B R AA1 D ER0 S AH0 N +BRODEUR B R AA1 D ER0 +BRODHEAD B R AA1 D HH EH2 D +BRODIE B R OW1 T IY0 +BRODIN B R OW1 D IH0 N +BRODKIN B R AA1 D K IH0 N +BRODMAN B R AA1 D M AH0 N +BRODNAX B R AA1 D N AE0 K S +BRODOWSKI B R AH0 D AO1 F S K IY0 +BRODRICK B R AA1 D R IH0 K +BRODRY B R AA1 D R IY0 +BRODSKY B R AA1 D S K IY0 +BRODT B R AA1 D T +BRODY B R OW1 D IY0 +BRODY'S B R OW1 D IY0 Z +BRODZINSKI B R AH0 JH IH1 N S K IY0 +BROE B R OW1 +BROECKER B R OW1 K ER0 +BROEKER B R OW1 K ER0 +BROER B R OW1 ER0 +BROERMAN B R OW1 ER0 M AH0 N +BROERS B R OW1 ER0 Z +BROGAN B R OW1 G AH0 N +BROGDEN B R AA1 G D AH0 N +BROGDON B R AA1 G D AH0 N +BROGNA B R OW1 G N AH0 +BROICH B R OY1 CH +BROIL B R OY1 L +BROILED B R OY1 L D +BROILER B R OY1 L ER0 +BROILERS B R OY1 L ER0 Z +BROILING B R OY1 L IH0 NG +BROIN B R OY1 N +BROK B R AA1 K +BROKAW B R OW1 K AO0 +BROKE B R OW1 K +BROKEN B R OW1 K AH0 N +BROKEN-TOOTH B R OW1 K AH0 N T UW2 TH +BROKEN-WIND B R OW1 K AH0 N W IH1 N D +BROKEN-WINDED B R OW1 K AH0 N W IH1 N D IH0 D +BROKER B R OW1 K ER0 +BROKER'S B R OW1 K ER0 Z +BROKERAGE B R OW1 K ER0 IH0 JH +BROKERAGE(2) B R OW1 K R IH0 JH +BROKERAGE'S B R OW1 K ER0 IH0 JH IH0 Z +BROKERAGE'S(2) B R OW1 K R IH0 JH IH0 Z +BROKERAGES B R OW1 K ER0 IH0 JH IH0 Z +BROKERAGES(2) B R OW1 K R IH0 JH IH0 Z +BROKERAGES' B R OW1 K ER0 IH0 JH IH0 Z +BROKERAGES'(2) B R OW1 K R IH0 JH IH0 Z +BROKERED B R OW1 K ER0 D +BROKERING B R OW1 K ER0 IH0 NG +BROKERS B R OW1 K ER0 Z +BROKERS' B R OW1 K ER0 Z +BROKING B R OW1 K IH0 NG +BROKINI B R AH0 K IY1 N IY0 +BROLIN B R OW1 L IH0 N +BROLLY B R AA1 L IY0 +BROM B R AA1 M +BROMAN B R OW1 M AH0 N +BROMBERG B R AA1 M B ER0 G +BROMFIELD B R AA1 M F IY2 L D +BROMFIELD'S B R AA1 M F IY2 L D Z +BROMIDE B R OW1 M AY2 D +BROMIDES B R OW1 M AY2 D Z +BROMINE B R OW1 M IY2 N +BROMLEY B R AA1 M L IY0 +BROMM B R AA1 M +BROMMER B R AA1 M ER0 +BROMONT B R OW1 M AA2 N T +BROMPHERIL B R AA1 M F EH0 R IH0 L +BROMWELL B R AA1 M W EH2 L +BROMWICH B R AA1 M W IH0 CH +BRONAUGH B R AA1 N AO0 +BRONC B R AA1 NG K +BRONCHIAL B R AA1 N CH IY0 AH0 L +BRONCHITIS B R AA0 NG K AY1 T AH0 S +BRONCHOSCOPE B R AA1 N K AH0 S K OW1 P +BRONCO B R AA1 NG K OW0 +BRONCOS B R AA1 NG K OW0 Z +BRONDER B R AA1 N D ER0 +BRONER B R OW1 N ER0 +BRONFMAN B R AA1 N F M AH0 N +BRONFMAN'S B R AA1 N F M AH0 N Z +BRONFMANS B R AA1 N F M AH0 N Z +BRONK B R AA1 NG K +BRONKEMA B R AH0 NG K IY1 M AH0 +BRONN B R AA1 N +BRONNER B R AA1 N ER0 +BRONS B R AA1 N Z +BRONSON B R AA1 N S AH0 N +BRONSTEIN B R AA1 N S T IY2 N +BRONSTEIN(2) B R AA1 N S T AY2 N +BRONSTON B R AA1 N S T AH0 N +BRONTE B R AA1 N T IY0 +BRONTE'S B R AA1 N T IY0 Z +BRONTOSAURUS B R AO2 N T AH0 S AO1 R AH0 S +BRONTOSAURUS(2) B R AO2 N AH0 S AO1 R AH0 S +BRONWEN B R AO1 N W IH0 N +BRONWYN B R AA1 N W IH0 N +BRONX B R AA1 NG K S +BRONY B R OW1 N IY2 +BRONZE B R AA1 N Z +BRONZED B R AA1 N Z D +BRONZEN B R AA1 N Z AH0 N +BRONZES B R AA1 N Z AH0 Z +BRONZES(2) B R AA1 N Z IH0 Z +BROOCH B R UW1 CH +BROOCH(2) B R OW1 CH +BROOD B R UW1 D +BROODED B R UW1 D IH0 D +BROODING B R UW1 D IH0 NG +BROODY B R UW1 D IY0 +BROOK B R UH1 K +BROOK'S B R UH1 K S +BROOKBANK B R UH1 K B AE2 NG K +BROOKE B R UH1 K +BROOKE'S B R UH1 K S +BROOKEHILL B R UH1 K HH IH2 L +BROOKEN B R UH1 K AH0 N +BROOKENS B R UH1 K AH0 N Z +BROOKER B R UH1 K ER0 +BROOKES B R UH1 K S +BROOKFIELD B R UH1 K F IY2 L D +BROOKHART B R UW1 K HH AA0 R T +BROOKHAVEN B R UH1 K HH EY2 V AH0 N +BROOKHURST B R UH1 K HH ER2 S T +BROOKING B R UH1 K IH0 NG +BROOKINGS B R UH1 K IH0 NG Z +BROOKINS B R UW1 K IH0 N Z +BROOKLINE B R UH1 K L AY2 N +BROOKLYN B R UH1 K L AH0 N +BROOKLYN(2) B R UH1 K L IH0 N +BROOKLYN'S B R UH1 K L AH0 N Z +BROOKLYN'S(2) B R UH1 K L IH0 N Z +BROOKMAN B R UH1 K M AH0 N +BROOKNER B R UH1 K N ER0 +BROOKNER'S B R UH1 K N ER0 Z +BROOKOVER B R UH1 K OW2 V ER0 +BROOKS B R UH1 K S +BROOKS' B R UH1 K S +BROOKS'S B R UH1 K S IH0 Z +BROOKS'S(2) B R UH1 K S +BROOKSHIER B R UW1 K SH IY0 ER0 +BROOKSHIRE B R UW1 K SH AY0 R +BROOKSIDE B R UH1 K S AY2 D +BROOKSTONE B R UH1 K S T OW2 N +BROOKSVILLE B R UH1 K S V IH0 L +BROOKSVILLE'S B R UH1 K S V IH0 L Z +BROOM B R UW1 M +BROOMALL B R UW1 M AH0 L +BROOME B R UW1 M +BROOMFIELD B R UW1 M F IY2 L D +BROOMS B R UW1 M Z +BROOMSTICK B R UW1 M S T IH2 K +BROOMSTICKS B R UW1 M S T IH2 K S +BROPHY B R OW1 F IY0 +BROSCH B R AO1 SH +BROSE B R OW1 Z +BROSH B R AA1 SH +BROSHEARS B R AA1 SH IH0 R Z +BROSIOUS B R OW1 Z IY0 AH0 S +BROSIUS B R OW1 S IY0 IH0 S +BROSKI B R AW1 S K IY0 +BROSKY B R AA1 S K IY0 +BROSNAHAN B R AA1 S N AH0 HH AE0 N +BROSNAN B R AA1 S N AH0 N +BROSS B R AO1 S +BROSSARD B R AH0 S AA1 R D +BROSSART B R AA1 S AA0 R T +BROSSEAU B R AH0 S OW1 +BROSSER B R AA1 S ER0 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+BROUILLETTE B R W IY0 L EH1 T +BROUN B R UW1 N +BROUNTAS B R AW1 N T AH0 S +BROUSE B R AW1 S +BROUSSARD B R UW0 S AA1 R D +BROUSSEAU B R UW2 S OW1 +BROUSSET B R UW1 S EH0 T +BROUWER B R AW1 W ER0 +BROW B R AW1 +BROWARD B R AW1 ER0 D +BROWBEAT B R AW1 B IY2 T +BROWDER B R AW1 D ER0 +BROWE B R OW1 +BROWED B R AW1 D +BROWER B R AW1 ER0 +BROWN B R AW1 N +BROWN'S B R AW1 N Z +BROWNBACK B R AW1 N B AE2 K +BROWNE B R AW1 N +BROWNED B R AW1 N D +BROWNELL B R AW0 N EH1 L +BROWNER B R AW1 N ER0 +BROWNEST B R AW1 N IH0 S T +BROWNFIELD B R AW1 N F IY2 L D +BROWNFIELDS B R AW1 N F IY2 L D Z +BROWNIE B R AW1 N IY0 +BROWNIES B R AW1 N IY0 Z +BROWNING B R AW1 N IH0 NG +BROWNING'S B R AW1 N IH0 NG Z +BROWNISH B R AW1 N IH0 SH +BROWNLEE B R AW1 N L IY0 +BROWNLEY B R AW1 N L IY0 +BROWNLIE B R AW1 N L IY0 +BROWNLOW B R AW1 N L OW2 +BROWNMILLER B R AW1 N M IH2 L ER0 +BROWNOUT B R AW1 N AW2 T +BROWNOUTS B R AW1 N AW2 T S +BROWNRIGG B R AW1 N R IH0 G +BROWNS B R AW1 N Z +BROWNS' B R AW1 N Z +BROWNSON B R AW1 N S AH0 N +BROWNSTEIN B R AW1 N S T AY2 N +BROWNSTEIN(2) B R AW1 N S T IY2 N +BROWNSTONE B R AW1 N S T OW2 N +BROWNSVILLE B R AW1 N Z V IH0 L +BROWS B R AW1 Z +BROWSE B R AW1 Z +BROWSED B R AW1 Z D +BROWSER B R AW1 Z ER0 +BROWSERS B R AW1 Z ER0 Z +BROWSING B R AW1 Z IH0 NG +BROX B R AA1 K S +BROXSON B R AA1 K S AH0 N +BROXTERMAN B R AA1 K S T ER0 M AH0 N +BROXTON B R AA1 K S T AH0 N +BROY B R OY1 +BROYARD B R OY1 ER0 D +BROYHILL B R OY1 HH IH2 L +BROYLES B R OY1 L Z +BROZ B R AA1 Z +BROZEK B R OW1 Z EH0 K +BROZMAN B R AA1 Z M AH0 N +BROZOVICH B R AA1 Z AH0 V IH0 CH +BROZOWSKI B R AH0 Z AO1 F S K IY0 +BRUBAKER B R AH1 B AH0 K ER0 +BRUBECK B R UW1 B EH2 K +BRUCATO B R UW0 K AA1 T OW0 +BRUCE B R UW1 S +BRUCE'S B R UW1 S AH0 Z +BRUCH B R AH1 CH +BRUCHHAUSEN B R UW1 K HH AW2 Z AH0 N +BRUCIE B R AH1 K IY0 +BRUCITE B R UW1 S AY2 T +BRUCK B R AH1 K +BRUCK'S B R AH1 K S +BRUCKER B R AH1 K ER0 +BRUCKHEIMER B R AH1 K HH AY2 M ER0 +BRUCKMAN B R AH1 K M AH0 N +BRUCKNER B R AH1 K N ER0 +BRUCKS B R AH1 K S +BRUDER B R UW1 D ER0 +BRUE B R UW1 +BRUECHER B R UW1 CH ER0 +BRUECK B R UW1 K +BRUECKNER B R UH1 K N ER0 +BRUEGGE B R UW1 G AH0 +BRUEGGEMAN B R UW1 G M AH0 N +BRUEGGEMANN B R UW1 G M AH0 N +BRUEGGEN B R UW1 G AH0 N +BRUEGGER B R UW1 G ER0 +BRUEGGER'S B R UW1 G ER0 Z +BRUEHL B R UW1 L +BRUELLA B R UW2 EH1 L AH0 +BRUEMMER B R UW1 M ER0 +BRUEN B R UW1 N +BRUENING B R UW1 N IH0 NG +BRUER B R UW1 ER0 +BRUFF B R AH1 F +BRUFORD B R UW1 F ER0 D +BRUGES B R UW1 JH IH0 Z +BRUGES(2) B R UW1 ZH +BRUGGEMAN B R AH1 G M AH0 N +BRUGGER B R AH1 G ER0 +BRUGH B R AH1 +BRUGMAN B R AH1 G M AH0 N +BRUHA B R UW1 HH AH0 +BRUHL B R AH1 L +BRUHN B R AH1 N +BRUIN B R UW1 IH0 N +BRUIN'S B R UW1 IH0 N Z +BRUINGTON B R UW1 IH0 NG T AH0 N +BRUINS B R UW1 IH0 N Z +BRUINSMA B R UW0 IH1 N S M AH0 +BRUISE B R UW1 Z +BRUISED B R UW1 Z D +BRUISES B R UW1 Z AH0 Z +BRUISES(2) B R UW1 Z IH0 Z +BRUISING B R UW1 Z IH0 NG +BRULE B R UW1 L +BRULEY B R UW1 L IY0 +BRUM B R AH1 M +BRUMBACH B R AH1 M B AA2 K +BRUMBACK B R AH1 M B AE2 K +BRUMBAUGH B R AH1 M B AO2 +BRUMBELOW B R AH1 M B IH0 L OW0 +BRUMER B R UW1 M ER0 +BRUMETT B R AH1 M IH0 T +BRUMFIELD B R AH1 M F IY2 L D +BRUMIT B R UW1 M IH0 T +BRUMITT B R UW1 M IH0 T +BRUMLEY B R AH1 M L IY0 +BRUMLOW B R AH1 M L OW0 +BRUMM B R AH1 M +BRUMMEL B R AH1 M AH0 L +BRUMMELL B R AH1 M AH0 L +BRUMMER B R AH1 M ER0 +BRUMMET B R AH1 M IH0 T +BRUMMETT B R AH1 M IH0 T +BRUMMITT B R AH1 M IH0 T +BRUMMOND B R AH1 M AH0 N D +BRUN B R AH1 N +BRUNA B R UW1 N AH0 +BRUNCH B R AH1 N CH +BRUNCHES B R AH1 N CH IH0 Z +BRUNCOR B R AH1 N K AO2 R +BRUNDAGE B R AH1 N D IH0 JH +BRUNDIDGE B R AH1 N D IH0 JH +BRUNDIGE B R AH1 N D IH0 G +BRUNDTLAND B R AH1 N T L AH0 N D +BRUNE B R UW1 N +BRUNEAU B R AH0 N OW1 +BRUNEI B R UW0 N AY1 +BRUNELL B R AH1 N AH0 L +BRUNELLA B R UW2 N EH1 L AH0 +BRUNELLE B R AH0 N EH1 L +BRUNELLI B R UW0 N EH1 L IY0 +BRUNER B R UW1 N ER0 +BRUNET B R UW0 N EH1 T +BRUNETT B R AH1 N IH0 T +BRUNETTA B R UW0 N EH1 T AH0 +BRUNETTE B R UW0 N EH1 T +BRUNETTES B R UW0 N EH1 T S +BRUNETTI B R UW0 N EH1 T IY0 +BRUNETTO B R UW0 N EH1 T OW0 +BRUNEY B R UW1 N IY0 +BRUNGARD B R AH1 NG G ER0 D +BRUNGARDT B R AH1 NG G AA0 R T +BRUNGER B R AH1 NG ER0 +BRUNHILDA B R UW0 N HH IY1 L D AH0 +BRUNI B R UW1 N IY0 +BRUNICK B R UW1 N IH0 K +BRUNING B R UW1 N IH0 NG +BRUNJES B R AH0 N ZH IY1 Z +BRUNK B R AH1 NG K +BRUNKE B R AH1 NG K +BRUNKEN B R AH1 NG K AH0 N +BRUNKER B R AH1 NG K ER0 +BRUNKHORST B R AH1 NG K HH AO0 R S T +BRUNKOW B R AH1 NG K OW0 +BRUNN B R AH1 N +BRUNNER B R AH1 N ER0 +BRUNNHILDE B R AH1 N HH IH0 L D +BRUNO B R UW1 N OW0 +BRUNO'S B R UW1 N OW0 Z +BRUNS B R AH1 N Z +BRUNSKILL B R AH1 N S K IH2 L +BRUNSMAN B R AH1 N S M AH0 N +BRUNSON B R AH1 N S AH0 N +BRUNSVOLD B R AH1 N Z V OW2 L D +BRUNSWICK B R AH1 N Z W IH0 K +BRUNSWICK'S B R AH1 N Z W IH0 K S +BRUNSWIG B R AH1 N S W IH0 G +BRUNSWIG'S B R AH1 N S W IH0 G Z +BRUNT B R AH1 N T +BRUNTJEN B R AH1 N T JH EH2 N +BRUNTON B R AH1 N T AH0 N +BRUNTY B R AH1 N T IY0 +BRUNTZ B R AH1 N T S +BRUS B R AH1 S +BRUSCA B R AH1 S K AH0 +BRUSCHI B R UW1 S K IY0 +BRUSCO B R UW1 S K OW0 +BRUSE B R UW1 Z +BRUSETT B R UH0 S EH1 T +BRUSETT(2) B R UW2 S EH1 T +BRUSETTE B R UW2 S EH1 T +BRUSH B R AH1 SH +BRUSHABER B R AH1 SH AH0 B ER0 +BRUSHED B R AH1 SH T +BRUSHES B R AH1 SH IH0 Z +BRUSHFIRE B R AH1 SH F AY2 R +BRUSHFIRES B R AH1 SH F AY2 R Z +BRUSHING B R AH1 SH IH0 NG +BRUSHWORK B R AH1 SH W ER2 K +BRUSHY B R AH1 SH IY0 +BRUSKE B R AH1 S K +BRUSKI B R AH1 S K IY0 +BRUSKY B R AH1 S K IY0 +BRUSO B R UW1 S OW0 +BRUSQUE B R AH1 S K +BRUSQUELY B R AH1 S K L IY0 +BRUSS B R AH1 S +BRUSSEAU B R AH0 S OW1 +BRUSSEL B R AH1 S AH0 L +BRUSSELMANS B R AH1 S AH0 L M AH0 N Z +BRUSSELS B R AH1 S AH0 L Z +BRUST B R AH1 S T +BRUSTER B R AH1 S T ER0 +BRUSTOLONI B R UW1 S T OW0 L OW1 N IY0 +BRUT B R UW1 T +BRUTAL B R UW1 T AH0 L +BRUTALITIES B R UW0 T AE1 L AH0 T IY0 Z +BRUTALITY B R UW0 T AE1 L AH0 T IY0 +BRUTALITY(2) B R UW0 T AE1 L IH0 T IY0 +BRUTALIZATION B R UW1 T AH0 L AH0 Z EY2 SH AH0 N +BRUTALIZE B R UW1 T AH0 L AY2 Z +BRUTALIZED B R UW1 T AH0 L AY2 Z D +BRUTALIZES B R UW1 T AH0 L AY2 Z IH0 Z +BRUTALIZING B R UW1 T AH0 L AY2 Z IH0 NG +BRUTALLY B R UW1 T AH0 L IY0 +BRUTE B R UW1 T +BRUTING B R UW1 T IH0 NG +BRUTISH B R UW1 T IH0 SH +BRUTON B R UW1 T AH0 N +BRUTSCHE B R AH1 CH IY0 +BRUTUS B R UW1 T AH0 S +BRUUN B R UW1 N +BRUXELLES B R AH0 K S EH1 L AH0 S +BRUYETTE B R UW0 EH1 T +BRUYNES B R UW1 IH0 N Z +BRUZZESE B R UW0 T S EY1 Z IY0 +BRYAN B R AY1 AH0 N +BRYAN'S B R AY1 AH0 N Z +BRYANS B R AY1 AH0 N Z +BRYANS' B R AY1 AH0 N Z +BRYANT B R AY1 AH0 N T +BRYARS B R AY1 ER0 Z +BRYCE B R AY1 S +BRYDEN B R AY1 D AH0 N +BRYDGES B R IH1 JH IH0 Z +BRYDIE B R IH1 D IY0 +BRYDON B R IH1 D AH0 N +BRYE B R AY1 +BRYEN B R AY1 AH0 N +BRYER B R AY1 ER0 +BRYK B R IH1 K +BRYMER B R AY1 M ER0 +BRYN B R IH1 N +BRYNA B R IH1 N AH0 +BRYNE B R AY1 N +BRYNER B R AY1 N ER0 +BRYNGELSON B R IH1 NG G IH0 L S AH0 N +BRYON B R AY1 AH0 N +BRYS B R IH1 S +BRYSON B R AY1 S AH0 N +BRZESKA B R EH1 Z K AA2 +BRZEZINSKI B R IH0 Z IH1 N S K IY0 +BRZOSKA B R OW1 S K AH0 +BRZOZOWSKI B R AH0 Z AO1 F S K IY0 +BRZYCKI B R IH1 T S K IY0 +BS B IY2 EH1 S +BT B IY1 T IY1 +BTA B IY1 T IY1 EY1 +BUA B Y UW1 AH0 +BUA(2) B IY1 Y UW1 EY1 +BUB B AH1 B +BUBAR B UW1 B ER0 +BUBB B AH1 B +BUBBA B AH1 B AH0 +BUBBLE B AH1 B AH0 L +BUBBLED B AH1 B AH0 L D +BUBBLES B AH1 B AH0 L Z +BUBBLING B AH1 B AH0 L IH0 NG +BUBBLING(2) B AH1 B L IH0 NG +BUBBLY B AH1 B L IY0 +BUBBLY(2) B AH1 B AH0 L IY0 +BUBECK B UW1 B EH0 K +BUBEL B UW1 B AH0 L +BUBER B UW1 B ER2 +BUBIER B Y UW1 B IY0 ER0 +BUBINGA B AH0 B IH1 NG G AH0 +BUBKA B AH1 B K AH0 +BUBLITZ B AH1 B L IH0 T S +BUBOLTZ B Y UW1 B OW2 L T S +BUBOLZ B Y UW1 B OW2 L Z +BUBONIC B Y UW0 B AA1 N IH0 K +BUC B AH1 K +BUCARO B UW0 K AA1 R OW0 +BUCASE B Y UW1 K EY2 S +BUCCAL B Y UW1 K AH0 L +BUCCANEER B AH2 K AH0 N IY1 R +BUCCANEERS B AH2 K AH0 N IY1 R Z +BUCCELLATO B UW0 CH EH0 L AA1 T OW0 +BUCCHERI B UW0 K EH1 R IY0 +BUCCI B UW1 CH IY0 +BUCCIARELLI B UW0 CH ER0 EH1 L IY0 +BUCCIERI B UW0 CH IH1 R IY0 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AW2 T S +BUYS B AY1 Z +BUYSSE B AY1 S +BUZA B Y UW1 Z AH0 +BUZAN B Y UW1 Z AH0 N +BUZARD B Y UW0 Z AA1 R D +BUZBEE B AH1 Z B IY2 +BUZBY B AH1 Z B IY0 +BUZEK B UW1 Z EH0 K +BUZZ B AH1 Z +BUZZARD B AH1 Z ER0 D +BUZZARD'S B AH1 Z ER0 D Z +BUZZARDS B AH1 Z ER0 D Z +BUZZE B AH1 Z +BUZZE(2) B Y UW1 Z IY0 +BUZZED B AH1 Z D +BUZZELL B AH0 Z EH1 L +BUZZELLI B UW0 T S EH1 L IY0 +BUZZER B AH1 Z ER0 +BUZZES B AH1 Z IH0 Z +BUZZETTA B Y UW0 Z EH1 T AH0 +BUZZFEED B AH1 Z F IY1 D +BUZZING B AH1 Z IH0 NG +BUZZWORD B AH1 Z W ER0 D +BUZZWORDS B AH1 Z W ER0 D Z +BUZZY B AH1 Z IY0 +BUZZY'S B AH1 Z IY0 Z +BY B AY1 +BYAM B AY1 AH0 M +BYARD B Y AA1 R D +BYARD(2) B AY1 ER0 D +BYARS B AY1 ER0 Z +BYAS B AY1 AH0 S +BYASSEE B IY0 AA1 S IY0 +BYBEE B AY1 B IY2 +BYE B AY1 +BYE-BYE B AY1 B AY1 +BYELORUSSIA B AY2 AH0 L OW0 R AH1 SH AH0 +BYELORUSSIA(2) B EH1 L OW0 R AH1 SH AH0 +BYELORUSSIA(3) B AY2 EH1 L OW0 R AH1 SH AH0 +BYER B AY1 ER0 +BYERLEIN B AY1 R L AY2 N +BYERLEY B AY1 ER0 L IY0 +BYERLY B AY1 ER0 L IY0 +BYERS B 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S IY1 +C.'S S IY1 Z +C.D.S S IY1 D IY1 Z +C.O.D. S IY1 OW1 D IY1 +C.S S IY1 Z +CA K AH1 +CA(2) S IY1 EY1 +CA(3) K AA1 +CAAN K AA1 N +CAB K AE1 B +CAB'S K AE1 B Z +CABA K AA1 B AH0 +CABAL K AH0 B AA1 L +CABALLERO K AE2 B AH0 Y EH1 R OW0 +CABAN K EY1 B AH0 N +CABANA K AH0 B AE1 N AH0 +CABANAS K AH0 B AE1 N AH0 Z +CABANISS K AE1 B AH0 N IH0 S +CABARET K AE2 B ER0 EY1 +CABARETS K AE2 B ER0 EY1 Z +CABBAGE K AE1 B AH0 JH +CABBAGE(2) K AE1 B IH0 JH +CABBAGES K AE1 B IH0 JH IH0 Z +CABBIE K AE1 B IY0 +CABBIES K AE1 B IY0 Z +CABBY K AE1 B IY0 +CABDRIVER K AE1 B D R AY2 V ER0 +CABDRIVERS K AE1 B D R AY2 V ER0 Z +CABE K EY1 B +CABELA K AA2 B EH1 L AH0 +CABELA'S K AA2 B EH1 L AH0 +CABELL K AA0 B EH1 L +CABELLO K AH0 B EH1 L OW0 +CABERNET K AE2 B ER0 N EY1 +CABERNETS K AE2 B ER0 N EH1 T S +CABERNETS(2) K AE2 B ER0 N EY1 Z +CABEY K EY1 B IY0 +CABEZAS K AH0 B EY1 Z AH0 Z +CABIN K AE1 B AH0 N +CABINDA K AH0 B IH1 N D AH0 +CABINESS K EY1 B IY0 N IH0 S +CABINET K AE1 B AH0 N AH0 T +CABINET(2) K AE1 B N AH0 T +CABINET'S K AE1 B N AH0 T S +CABINETRY K 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AH0 +CALAMINE K AE1 L AH0 M AY2 N +CALAMINE'S K AE1 L AH0 M AY2 N Z +CALAMITIES K AH0 L AE1 M AH0 T IY0 Z +CALAMITOUS K AH0 L AE1 M AH0 T AH0 S +CALAMITY K AH0 L AE1 M AH0 T IY0 +CALAMITY(2) K AH0 L AE1 M IH0 T IY0 +CALAN K EY1 L AH0 N +CALANDRA K AH0 L AE1 N D R AH0 +CALANDRO K AH0 L AE1 N D R OW0 +CALANTHA K AH0 L AE1 N TH AH0 +CALARCO K AH0 L AA1 R K OW0 +CALAVERAS K AE0 L AH0 V EH1 R AH0 Z +CALAWAY K AA1 L AH0 W EY0 +CALBERT K AE1 L B ER0 T +CALBOS K AA1 L B OW0 S +CALCAGNI K AA0 L K AA1 G N IY0 +CALCAGNO K AA0 L K AA1 G N OW0 +CALCATERRA K AE2 L K AH0 T EH1 R AH0 +CALCIFIED K AE1 L S AH0 F AY2 D +CALCIFY K AE1 L S AH0 F AY2 +CALCITE K AE1 L S AY2 T +CALCIUM K AE1 L S IY0 AH0 M +CALCOMP K AO1 L K AA2 M P +CALCOTE K AA0 L K OW1 T IY0 +CALCULATE K AE1 L K Y AH0 L EY2 T +CALCULATED K AE1 L K Y AH0 L EY2 T IH0 D +CALCULATES K AE1 L K Y AH0 L EY2 T S +CALCULATING K AE1 L K Y AH0 L EY2 T IH0 NG +CALCULATION K AE2 L K Y AH0 L EY1 SH AH0 N +CALCULATIONS K AE2 L K Y AH0 L EY1 SH AH0 N Z 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EH1 R OW0 +CALES K EY1 L Z +CALEY K EY1 L IY0 +CALF K AE1 F +CALF'S K AE1 F S +CALFED K AE1 F T +CALFED(2) K AE1 L F EH2 D +CALFED'S K AE1 L F EH2 D Z +CALFEE K AE1 L F IY0 +CALGARY K AE1 L G ER0 IY0 +CALGENE K AE1 L JH IY2 N +CALGENE'S K AE1 L JH IY2 N Z +CALGON K AE1 L G AO0 N +CALGROUP K AE1 L G R UW2 P +CALHOON K AE0 L HH UW1 N +CALHOUN K AE0 L HH UW1 N +CALI K AA1 L IY0 +CALI(2) K AE1 L IY0 +CALIA K AA1 L IY0 AH0 +CALIBER K AE1 L AH0 B ER0 +CALIBRATE K AE1 L AH0 B R EY2 T +CALIBRATED K AE1 L AH0 B R EY2 T AH0 D +CALIBRATION K AE2 L AH0 B R EY1 SH AH0 N +CALICO K AE1 L AH0 K OW2 +CALIDA K AA0 L IY1 D AH0 +CALIENDO K AA0 L IY0 EH1 N D OW0 +CALIF K AE1 L IH0 F +CALIFANO K AA0 L IY0 F AA1 N OW0 +CALIFF K AE1 L IH0 F +CALIFORNIA K AE2 L AH0 F AO1 R N Y AH0 +CALIFORNIA'S K AE2 L IH0 F AO1 R N Y AH0 Z +CALIFORNIAN K AE2 L IH0 F AO1 R N Y AH0 N +CALIFORNIAN'S K AE2 L IH0 F AO1 R N Y AH0 N Z +CALIFORNIANS K AE2 L IH0 F AO1 R N Y AH0 N Z +CALIGIURI K AE2 L AH0 JH IH1 R IY0 +CALILL K AH0 L IH1 L +CALILLS K AH0 L IH1 L Z +CALIPER K AE1 L AH0 P ER0 +CALIPERS K AE1 L AH0 P ER0 Z +CALIPH K AE1 L AH0 F +CALIRI K AA0 L IH1 R IY0 +CALISE K AA1 L AY0 Z +CALISTA K AH0 L IH1 S T AH0 +CALISTHENIC K AE2 L AH0 S TH EH1 N IH0 K +CALISTHENICS K AE2 L AH0 S TH EH1 N IH0 K S +CALITE K AE1 L AY2 T +CALITE(2) K EY1 L AY2 T +CALIX K AE1 L IH0 K S +CALIX(2) K EY1 L AH0 K S +CALK K AO1 K +CALKIN K AE1 L K IH0 N +CALKINS K AE1 L K IH0 N Z +CALL K AO1 L +CALL'S K AO1 L Z +CALL'S(2) K AA1 L Z +CALLA K AE1 L AH0 +CALLABLE K AO1 L AH0 B AH0 L +CALLACE K AE1 L AH0 S +CALLAGHAN K AE1 L AH0 HH AE0 N +CALLAHAM K AE1 L AH0 HH AE2 M +CALLAHAN K AE1 L AH0 HH AE2 N +CALLAHAN'S K AE1 L AH0 HH AE2 N Z +CALLAIS K AH0 L EY1 +CALLAN K AE1 L AH0 N +CALLANAN K AE1 L AH0 N AH0 N +CALLAND K AE1 L AH0 N D +CALLANDER K AE1 L AH0 N D ER0 +CALLARI K AA0 L AA1 R IY0 +CALLAS K AE1 L AH0 Z +CALLAWAY K AE1 L AH0 W EY0 +CALLAWAY'S K AO1 L AH0 W EY2 Z +CALLBACK K AO1 L B AE2 K +CALLE K EY1 L +CALLEBS K EY1 L EH2 B Z +CALLED K AO1 L D +CALLEGARI K AA0 L EH0 G AA1 R IY0 +CALLEJA K AA0 L EY1 Y AH0 +CALLEJAS K AA0 L EY1 Y AA0 Z +CALLEN K AE1 L AH0 N +CALLENDER K AH0 L EH1 N D ER0 +CALLENS K AO1 L AH0 N Z +CALLER K AO1 L ER0 +CALLER'S K AO1 L ER0 Z +CALLERS K AO1 L ER0 Z +CALLERY K AE1 L ER0 IY0 +CALLES K EY1 L Z +CALLEY K AE1 L IY0 +CALLICOAT K AE1 L IH0 K OW2 T +CALLICOTT K AE1 L IH0 K AA0 T +CALLICUTT K AE1 L IH0 K AH0 T +CALLIE K AO1 L IY0 +CALLIER K AE1 L IY0 ER0 +CALLIES K AE1 L IY0 Z +CALLIGAN K AE1 L IH0 G AH0 N +CALLIGRAPHER K AH0 L IH1 G R AH0 F ER0 +CALLIGRAPHIC K AE2 L AH0 G R AE1 F IH0 K +CALLIGRAPHY K AH0 L IH1 G R AH0 F IY0 +CALLIHAN K AE1 L IH0 HH AE0 N +CALLINAN K AE1 L IH0 N AH0 N +CALLING K AO1 L IH0 NG +CALLIOPE K AH0 L AY1 AH0 P IY2 +CALLIOPES K AH0 L AY1 AH0 P IY2 Z +CALLIS K AE1 L IH0 S +CALLISON K AE1 L IH0 S AH0 N +CALLISTER K AO1 L IH0 S T ER0 +CALLOUS K AE1 L AH0 S +CALLOUSED K AE1 L AH0 S T +CALLOUSLY K AE1 L AH0 S L IY0 +CALLOUSNESS K AE1 L AH0 S N AH0 S +CALLOW K AE1 L OW0 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ER0 IY0 Z +CALOWAY K AE1 L OW0 W EY2 +CALPERS K AE1 L P ER0 Z +CALPERS'S K AE1 L P ER0 Z IH0 Z +CALPIS K AE1 L P IH0 S +CALTABIANO K AA0 L T AA0 B IY0 AA1 N OW0 +CALTAGIRONE K AA0 L T AA0 JH IH0 R OW1 N IY0 +CALTEX K AH1 L T EH1 K S +CALTHA K AE1 L DH AH0 +CALTON K AE1 L T AH0 N +CALTRAIN K AE1 L T R EY2 N +CALTRANS K AE1 L T R AE2 N Z +CALUMET K AE2 L Y AH0 M EH1 T +CALUMNY K AE1 L AH0 M N IY0 +CALUTZI K AH0 L UW1 T Z IY0 +CALUZU K AH0 L UW1 Z UW0 +CALUZZI K AH0 L UW1 Z IY0 +CALVANI K AO2 L V AA1 N IY0 +CALVANO K AA0 L V AA1 N OW0 +CALVARIES K AE1 L V ER0 IY0 Z +CALVARY K AE1 L V ER0 IY0 +CALVERAS K AE0 L V EH1 R AH0 S +CALVERLEY K AE1 L V ER0 L IY0 +CALVERT K AE1 L V ER0 T +CALVERY K AE1 L V ER0 IY0 +CALVES K AE1 V Z +CALVET K AE1 L V AH0 T +CALVEY K AE0 L V EY1 +CALVI K AA1 L V IY0 +CALVILLO K AA0 L V IH1 L OW0 +CALVIN K AE1 L V AH0 N +CALVIN(2) K AE1 L V IH0 N +CALVIN'S K AE1 L V AH0 N Z +CALVIN'S(2) K AE1 L V IH0 N Z +CALVINA K AA0 L V IY1 N AH0 +CALVING K AE1 V IH0 NG +CALVINIST K AE1 L V AH0 N AH0 S T +CALVINIST(2) K AE1 L V IH0 N IH0 S T +CALVINO K AO2 L V IY1 N OW0 +CALVO K AA1 L V OW0 +CALYPSO K AH0 L IH1 P S OW2 +CALYPSOS K AH0 L IH1 P S OW2 Z +CALYX K AE1 L IH0 K S +CALZADA K AA0 L Z AA1 D AH0 +CAM K AE1 M +CAM'S K AE1 M Z +CAMA K AA1 M AH0 +CAMA(2) S IY1 EY1 EH1 M EY1 +CAMACHO K AH0 M AA1 CH OW0 +CAMAGUEY K AE1 M AH0 G EY0 +CAMAGUEY(2) K AE1 M AH0 G W EY0 +CAMAN K EY1 M AH0 N +CAMARA K AA0 M AA1 R AH0 +CAMARADERIE K AA2 M ER0 AA1 D ER0 IY0 +CAMARATA K AA0 M AA0 R AA1 T AH0 +CAMARENA K AA0 M AA0 R EH1 N AH0 +CAMARENA(2) K AA2 M ER0 EY1 N AH0 +CAMARGO K AA0 M AA1 R G OW0 +CAMARILLO K AA0 M AA0 R IH1 L OW0 +CAMARO K AH0 M EH1 R OW0 +CAMAROS K AH0 M AA1 R OW0 S +CAMBELL K AE1 M B AH0 L +CAMBER K AE1 M B ER0 +CAMBEX K AE1 M B AH0 K S +CAMBIOR K AE1 M B IY0 ER0 +CAMBODIA K AE2 M B OW1 D IY0 AH0 +CAMBODIA'S K AE2 M B OW1 D IY0 AH0 Z +CAMBODIAN K AE2 M B OW1 D IY0 AH0 N +CAMBODIANS K AE2 M B OW1 D IY0 AH0 N Z +CAMBRA K AE1 M B R AH0 +CAMBRE K AE1 M B ER0 +CAMBRIA K AE1 M B R IY0 AH0 +CAMBRIAN K AE1 M B R IY0 AH0 N +CAMBRIAN'S K AE1 M B R IY0 AH0 N Z +CAMBRIDGE K EY1 M B R IH0 JH +CAMBRIDGEPORT K EY1 M B R IH2 JH P AO2 R T +CAMBRIDGESIDE K EY1 M B R IH2 JH S AY2 D +CAMBRON K AE1 M B R AH0 N +CAMBURN K AE1 M B ER2 N +CAMBY K AE1 M B IY0 +CAMBY'S K AE1 M B IY0 Z +CAMCO K AE1 M K OW0 +CAMCORDER K AE1 M K AO2 R D ER0 +CAMCORDERS K AE1 M K AO2 R D ER0 Z +CAMDEN K AE1 M D AH0 N +CAMDEN'S K AE1 M D AH0 N Z +CAMDESSUS K AE0 M D EH1 S AH0 S +CAME K EY1 M +CAMECO K AE1 M IH0 K OW0 +CAMEJO K AA0 M EY1 Y OW0 +CAMEL K AE1 M AH0 L +CAMEL'S K AE1 M AH0 L Z +CAMELOT K AE1 M AH0 L AA2 T +CAMELS K AE1 M AH0 L Z +CAMEO K AE1 M IY0 OW2 +CAMEOS K AE1 M IY0 OW2 Z +CAMERA K AE1 M ER0 AH0 +CAMERA(2) K AE1 M R AH0 +CAMERA'S K AE1 M R AH0 Z +CAMERAMAN K AE1 M ER0 AH0 M AH0 N +CAMERAMEN K AE1 M ER0 AH0 M EH0 N +CAMERAS K AE1 M ER0 AH0 Z +CAMERAS(2) K AE1 M R AH0 Z +CAMERER K AE1 M ER0 ER0 +CAMERO K AH0 M EH1 R OW0 +CAMERON K AE1 M ER0 AH0 N +CAMERON'S K AE1 M ER0 AH0 N Z +CAMERONS K AE1 M ER0 AH0 N Z +CAMEROON K AE1 M ER0 UW2 N +CAMFIELD K AE1 M F IY2 L D +CAMHI K AE1 M HH IY0 +CAMILLA K AH0 M IH1 L AH0 +CAMILLE K AH0 M IY1 L +CAMILLERI K AA0 M IY0 L EH1 R IY0 +CAMILLI K AH0 M IH1 L IY0 +CAMILLO K AH0 M IH1 L OW0 +CAMINITI K AA0 M IY0 N IY1 T IY0 +CAMINO K AH0 M IY1 N OW0 +CAMIRE K AA0 M IH1 R IY0 +CAMM K AE1 M +CAMMACK K AE1 M AH0 K +CAMMARANO K AA0 M AA0 R AA1 N OW0 +CAMMARATA K AA0 M AA0 R AA1 T AH0 +CAMMAROTA K AA0 M AA0 R OW1 T AH0 +CAMMER K AE1 M ER0 +CAMMERMEYER K AE1 M ER0 M AY2 ER0 +CAMMIE K AE1 M IY0 +CAMMISA K AH0 M IY1 S AH0 +CAMMON K AE1 M AH0 N +CAMMY K AE1 M IY0 +CAMORRA K AH0 M AO1 R AH0 +CAMOUFLAGE K AE1 M AH0 F L AA2 ZH +CAMOUFLAGED K AE1 M AH0 F L AA2 ZH D +CAMOUFLAGING K AE1 M AH0 F L AA2 ZH IH0 NG +CAMP K AE1 M P +CAMP'S K AE1 M P S +CAMPA K AE1 M P AH0 +CAMPAIGN K AE0 M P EY1 N +CAMPAIGN'S K AE0 M P EY1 N Z +CAMPAIGNED K AE0 M P EY1 N D +CAMPAIGNER K AE0 M P EY1 N ER0 +CAMPAIGNERS K AE0 M P EY1 N ER0 Z +CAMPAIGNING K AE0 M 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N AA1 D IY0 +CANAL K AH0 N AE1 L +CANAL'S K AH0 N AE1 L Z +CANALE K AA0 N AA1 L IY0 +CANALES K AE1 N AH0 L Z +CANALS K AH0 N AE1 L Z +CANAM K AE1 N AH0 M +CANAN K EY1 N AH0 N +CANANDAIGUA K AE2 N AH0 N D EY1 G W AH0 +CANANEA K AE2 N AH0 N IY1 AH0 +CANAPE K AA1 N AH0 P EY2 +CANAPES K AA1 N AH0 P EY2 Z +CANARD K AH0 N AA1 R D +CANARIENSIS K AH0 N EH2 R IY0 EH1 N S AH0 S +CANARIES K AH0 N EH1 R IY0 Z +CANARY K AH0 N EH1 R IY0 +CANAS K AE1 N AH0 Z +CANASTA K AH0 N AE1 S T AH0 +CANAVAN K AE1 N AH0 V AE2 N +CANAVERAL K AH0 N AE1 V ER0 AH0 L +CANAVERAL(2) K AH0 N AE1 V R AH0 L +CANBERRA K AE2 N B EH1 R AH0 +CANBY K AE1 N B IY0 +CANCAN K AE1 N K AE2 N +CANCEL K AE1 N S AH0 L +CANCELED K AE1 N S AH0 L D +CANCELING K AE1 N S AH0 L IH0 NG +CANCELING(2) K AE1 N S L IH0 NG +CANCELLATION K AE2 N S AH0 L EY1 SH AH0 N +CANCELLATIONS K AE2 N S AH0 L EY1 SH AH0 N Z +CANCELLED K AE1 N S AH0 L D +CANCELLING K AE1 N S AH0 L IH0 NG +CANCELLING(2) K AE1 N S L IH0 NG +CANCELS K AE1 N S AH0 L Z +CANCER K AE1 N 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S T +CELLMARK S EH1 L M AA2 R K +CELLMARK'S S EH1 L M AA2 R K S +CELLNET S EH1 L N EH2 T +CELLO CH EH1 L OW0 +CELLOPHANE S EH1 L AH0 F EY2 N +CELLPHONE S EH1 L F OW0 N +CELLPHONES S EH1 L F OW2 N Z +CELLPRO S EH1 L P R OW0 +CELLS S EH1 L Z +CELLS' S EH1 L Z +CELLSTAR S EH1 L S T AA2 R +CELLUCCI CH EH0 L UW1 CH IY0 +CELLULAR S EH1 L Y AH0 L ER0 +CELLULAR'S S EH1 L Y AH0 L ER0 Z +CELLULOID S EH1 L AH0 L OY2 D +CELLULOSA S EH2 L UW0 L OW1 S AH0 +CELLULOSE S EH1 L Y AH0 L OW2 S +CELMER S EH1 L M ER0 +CELNIK S EH1 L N IH0 K +CELO S EH1 L OW0 +CELO(2) S IY1 L OW0 +CELO(3) S IY1 IY1 EH1 L OW1 +CELONA CH EH0 L OW1 N AH0 +CELOSIA CH EH0 L OW1 S IY0 AH0 +CELS S EH1 L Z +CELSIUS S EH1 L S IY0 AH0 S +CELSO S EH1 L S OW0 +CELT S EH1 L T +CELT(2) K EH1 L T +CELTIC S EH1 L T IH0 K +CELTIC(2) K EH1 L T IH0 K +CELTICS S EH1 L T IH0 K S +CELTICS' S EH1 L T IH0 K S +CELTS S EH1 L T S +CELTS(2) K EH1 L T S +CEMENT S AH0 M EH1 N T +CEMENT(2) S IH0 M EH1 N T +CEMENTED S AH0 M EH1 N T IH0 D +CEMENTED(2) S IH0 M EH1 N T IH0 D +CEMENTING S IH0 M EH1 N T IH0 NG +CEMENTOS S EH0 M EH1 N T OW0 S +CEMETERIES S EH1 M AH0 T EH2 R IY0 Z +CEMETERY S EH1 M AH0 T EH2 R IY0 +CEMETERY(2) S EH1 M IH0 T EH2 R IY0 +CEMEX K EH1 M EH2 K S +CEMP S EH1 M P +CENCALL S EH1 N S EH2 L +CENCI CH EH1 N CH IY0 +CENCOR S EH1 N K AO2 R +CENDEJAS S EY0 N D EY1 Y AA0 Z +CENERGY S EH1 N ER0 JH IY0 +CENICEROS S EY0 N IY0 S EH1 R OW0 Z +CENITH S EH1 N IH0 TH +CENITH'S S EH1 N IH0 TH S +CENOZOIC S IY2 N AH0 Z OW1 IH0 K +CENSER S EH1 N S ER0 +CENSOR S EH1 N S ER0 +CENSORED S EH1 N S ER0 D +CENSORING S EH1 N S ER0 IH0 NG +CENSORS S EH1 N S ER0 Z +CENSORSHIP S EH1 N S ER0 SH IH2 P +CENSURE S EH1 N SH ER0 +CENSURED S EH1 N SH ER0 D +CENSUS S EH1 N S AH0 S +CENSUSES S EH1 N S AH0 S IH0 Z +CENT S EH1 N T +CENTANNI CH EH0 N T AA1 N IY0 +CENTANNI(2) S EH0 N T AA1 N IY0 +CENTAUR S EH1 N T AO2 R +CENTAUR'S S EH1 N T AO2 R Z +CENTAURI S EH0 N T AA1 R IY0 +CENTAURS S EH1 N T AO2 R Z +CENTAVOS S EH0 N T AA1 V OW2 S +CENTEL S EH1 N T EH2 L +CENTEL'S S EH1 N T EH2 L Z +CENTENARIAN S EH2 N T AH0 N EH1 R IY0 AH0 N +CENTENARIANS S EH2 N T AH0 N EH1 R IY0 AH0 N Z +CENTENARY S EH1 N T AH0 N EH2 R IY0 +CENTENNIAL S EH0 N T EH1 N IY0 AH0 L +CENTENNIAL'S S EH0 N T EH1 N IY0 AH0 L Z +CENTENO CH EH0 N T EH1 N OW0 +CENTENO(2) S EH0 N T EH1 N OW0 +CENTER S EH1 N T ER0 +CENTER(2) S EH1 N ER0 +CENTER'S S EH1 N T ER0 Z +CENTER'S(2) S EH1 N ER0 Z +CENTERBANC S EH1 N T ER0 B AE0 NG K +CENTERBANK S EH1 N T ER0 B AE2 NG K +CENTERED S EH1 N T ER0 D +CENTERFIELDER S EH1 N T ER0 F IY2 L D ER0 +CENTERFOLD S EH1 N T ER0 F OW2 L D +CENTERING S EH1 N T ER0 IH0 NG +CENTERIOR S EH2 N T IH1 R IY0 ER0 +CENTERPIECE S EH1 N T ER0 P IY2 S +CENTERRE S EH1 N T ER0 +CENTERRE'S S EH1 N T ER0 Z +CENTERS S EH1 N T ER0 Z +CENTERS(2) S EH1 N ER0 Z +CENTERS' S EH1 N T ER0 Z +CENTERS'(2) S EH1 N ER0 Z +CENTERVILLE S EH1 N T ER0 V IH0 L +CENTEX S EH1 N T EH2 K S +CENTIGRADE S EH1 N T AH0 G R EY2 D +CENTIGRAM S EH1 N T AH0 G R AE2 M +CENTIME S EH1 N T AY2 M +CENTIMES S EH1 N T AY2 M Z +CENTIMETER S EH1 N T AH0 M IY2 T ER0 +CENTIMETERS S EH1 N T AH0 M IY2 T ER0 Z +CENTIMETRE S EH1 N T AH0 M IY2 T ER0 +CENTIMETRES S EH1 N T AH0 M IY2 T ER0 Z +CENTIPEDE S EH1 N T IH0 P IY2 D +CENTNER S EH1 N T N ER0 +CENTOCOR S EH1 N T AH0 K AO2 R +CENTOCOR'S S EH1 N T AH0 K AO2 R Z +CENTOFANTI CH EH0 N T OW0 F AA1 N T IY0 +CENTOLA CH EH0 N T OW1 L AH0 +CENTOXIN S EH2 N T AA1 K S IH0 N +CENTRAL S EH1 N T R AH0 L +CENTRAL'S S EH1 N T R AH0 L Z +CENTRALE S EH0 N T R AA1 L +CENTRALIA S EH0 N T R EY1 L IY0 AH0 +CENTRALISM S EH1 N T R AH0 L IH2 Z AH0 M +CENTRALISTS S EH1 N T R AH0 L IH0 S T S +CENTRALITY S EH0 N T AE1 L IH0 T IY0 +CENTRALIZATION S EH2 N T R AH0 L IH0 Z EY1 SH AH0 N +CENTRALIZE S EH1 N T R AH0 L AY2 Z +CENTRALIZED S EH1 N T R AH0 L AY2 Z D +CENTRALIZING S EH1 N T R AH0 L AY2 Z IH0 NG +CENTRALLY S EH1 N T R AH0 L IY0 +CENTRAM S EH1 N T R AE2 M +CENTRE S EH1 N T ER0 +CENTRELLA S EH2 N T R EH1 L AH0 +CENTRES S EH1 N T ER0 Z +CENTREX S EH1 N T R AH0 K S +CENTRIFUGAL S EH1 N T R IH0 F Y UW2 G AH0 L +CENTRIFUGE S EH1 N T R AH0 F Y UW2 JH +CENTRIFUGES S EH1 N T R AH0 F Y UW2 JH IH0 Z +CENTRIST S EH1 N T R IH0 S T +CENTRISTS S EH1 N T R IH0 S T S +CENTRO S EH1 N T R OW0 +CENTROMIN S EH1 N T R AH0 M IH0 N +CENTRONICS S EH2 N T R AA1 N IH0 K S +CENTRUST S EH1 N T R AH2 S T +CENTRUST'S S EH1 N T R AH2 S T S +CENTS S EH1 N T S +CENTS(2) S EH1 N S +CENTUM K EH1 N T AH0 M +CENTURI S EH0 N T UH1 R IY0 +CENTURIES S EH1 N CH ER0 IY0 Z +CENTURION S EH0 N T UH1 R IY0 AH0 N +CENTURY S EH1 N CH ER0 IY0 +CENTURY'S S EH1 N CH ER0 IY0 Z +CENVILL S EH1 N V IH0 L +CEO S IY1 IY2 OW1 +CEP S EH1 P +CEPEDA S EY0 P EY1 D AH0 +CEPERO S EY0 P EH1 R OW0 +CEPHALON S EH1 F AH0 L AA2 N +CEPHALOPOD S EH1 F AH0 L AH0 P AA2 D +CEPHALOSPORIN S EH2 F AH0 L AO1 S P AO2 R IH0 N +CEPHAS S EH1 F AH0 Z +CEPHUS S EH1 F AH0 S +CERA S EH1 R AH0 +CERACEOUS S ER0 EY1 SH AH0 S +CERADYNE S EH1 R AH0 D AY2 N +CERAMI CH ER0 AA1 M IY0 +CERAMIC S ER0 AE1 M IH0 K +CERAMICS S ER0 AE1 M IH0 K S +CERANKOSKY S EH2 R AH0 NG K AO1 S K IY2 +CERASOLI CH ER0 AA0 S OW1 L IY0 +CERAVOLO CH ER0 AA0 V OW1 L OW0 +CERBONE CH ER1 B OW0 N +CERCONE CH ER0 K OW1 N IY0 +CERDA CH EH1 R D AH0 +CEREAL S IH1 R IY0 AH0 L +CEREALS S IH1 R IY0 AH0 L Z +CEREBRAL S EH1 R AH0 B R AH0 L +CEREBRAL(2) S ER0 IY1 B R AH0 L +CEREBRALLY S ER0 IY1 B R AH0 L IY0 +CEREDASE S EH1 R AH0 D EY2 Z +CEREGHINO CH ER0 EH0 G IY1 N OW0 +CERELIA CH ER0 EH1 L IY0 AH0 +CEREMONIAL S EH2 R AH0 M OW1 N IY0 AH0 L +CEREMONIES S EH1 R AH0 M OW2 N IY0 Z +CEREMONY S EH1 R AH0 M OW2 N IY0 +CERENO S ER0 EY1 N OW0 +CERES S IH1 R IY0 Z +CEREZO S EH2 R EY1 Z OW0 +CEREZO(2) S ER0 EY1 Z OW0 +CERF S ER1 F +CERIDIAN S ER0 IH1 D IY0 AH0 N +CERINO CH ER0 IY1 N OW0 +CERIO CH EH1 R IY0 OW0 +CERISE S ER0 IY1 S +CERMAK CH ER1 M AH0 K +CERN S ER1 N +CERNA CH EH1 R N AH0 +CERNEY S ER1 N IY0 +CERNIGLIA CH ER2 N IY1 G L IY0 AA0 +CERNUDA S ER0 N UW1 D AH0 +CERNUDA'S S ER0 N UW1 D AH0 Z +CERNY S ER1 N IY0 +CERO S EH1 R OW2 +CERONE CH ER0 OW1 N IY0 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ER0 AH0 +CETUS S IY1 T AH0 S +CETUS'S S IY1 T AH0 S IH0 Z +CEVALLOS S EY0 V AA1 L OW0 Z +CEVAXS S EH1 V AE0 K S IH0 Z +CEYLON S IH0 L AA1 N +CEYLON(2) S IY0 L AA1 N +CEZANNE S EH2 Z AE1 N +CEZANNE'S S EH2 Z AE1 N Z +CFO S IY1 EH2 F OW1 +CGI S IY2 G IY2 AY1 +CHA CH AA1 +CHA-CHAS CH AA1 CH AA2 Z +CHABLIS SH AH0 B L IY1 +CHABON CH EY1 B AH0 N +CHABOT SH AH0 B OW1 +CHACABUCO CH AE2 K AH0 B Y UW1 K OW0 +CHACE CH EY1 S +CHACHERE SH AH0 SH IH1 R +CHACHI CH AA1 CH IY0 +CHACIN SH EY1 S IH0 N +CHACKO CH AE1 K OW0 +CHACON CH AE1 K AH0 N +CHAD CH AE1 D +CHAD'S CH AE1 D Z +CHADBOURNE SH AH0 D B UH1 R N +CHADD CH AE1 D +CHADDERDON CH AH0 D ER1 D AH0 N +CHADDOCK CH AE1 D AH0 K +CHADEL CH AE1 D AH0 L +CHADIAN CH EY1 D IY0 AH0 N +CHADICK CH AE1 D IH0 K +CHADLI CH AE1 D L IY0 +CHADRON CH AE1 D R AH0 N +CHADWELL CH AE1 D W EH2 L +CHADWICK CH AE1 D W IH0 K +CHADWICK'S CH AE1 D W IH0 K S +CHAE CH AY1 +CHAEBOL CH EY1 B AH0 L +CHAFE CH EY1 F +CHAFED CH EY1 F T +CHAFEE CH AE1 F IY0 +CHAFEE(2) CH EY1 F IY0 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EH1 R P ER2 S AH0 N +CHAIRS CH EH1 R Z +CHAIRWOMAN CH EH1 R W UH2 M AH0 N +CHAIRWOMEN CH EH1 R W IH2 M EH0 N +CHAISE SH EY1 Z +CHAISSON CH EY1 S AH0 N +CHAIT CH EY1 T +CHAJET CH AE1 JH AH0 T +CHALABI CH AH0 L AA1 B IY0 +CHALASANI CH AE2 L AH0 S AE1 N IY0 +CHALCEDONY CH AE1 L S AH0 D OW2 N IY0 +CHALET SH AE1 L EY2 +CHALET(2) SH AH0 L EY1 +CHALETS SH AH0 L EY1 Z +CHALETS(2) SH AE1 L EY2 Z +CHALFANT CH AE1 F AH0 N T +CHALFANT(2) CH AE1 F AA0 N T +CHALFIN CH AE1 L F IH0 N +CHALICE CH AE1 L IH0 S +CHALIFOUX SH AE1 L IH0 F UW0 +CHALK CH AA1 K +CHALK(2) CH AO1 K +CHALKED CH AO1 K T +CHALKER CH AO1 K ER0 +CHALKING CH AO1 K IH0 NG +CHALKLEY CH AE1 L K L IY0 +CHALKS CH AO1 K S +CHALLENDER CH AH0 L EH1 N D ER0 +CHALLENGE CH AE1 L AH0 N JH +CHALLENGED CH AE1 L AH0 N JH D +CHALLENGER CH AE1 L AH0 N JH ER0 +CHALLENGER(2) CH AE1 L IH0 N JH ER0 +CHALLENGER'S CH AE1 L AH0 N JH ER0 Z +CHALLENGERS CH AE1 L AH0 N JH ER0 Z +CHALLENGERY CH AE1 L AH0 N JH ER0 IY0 +CHALLENGES CH AE1 L AH0 N JH IH0 Z 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M AO1 R OW0 +CHAMORRO'S CH AH0 M AO1 R OW0 Z +CHAMP CH AE1 M P +CHAMPA K AA1 M P AH0 +CHAMPAGNE SH AE0 M P EY1 N +CHAMPAGNES SH AE0 M P EY1 N Z +CHAMPAIGN CH AE0 M P EY1 N +CHAMPAIGN-URBANA CH AE0 M P EY1 N ER0 B AE1 N AH0 +CHAMPEAU SH AE0 M P OW1 +CHAMPINE CH AE1 M P AY2 N +CHAMPION CH AE1 M P IY0 AH0 N +CHAMPION'S CH AE1 M P IY0 AH0 N Z +CHAMPIONED CH AE1 M P IY0 AH0 N D +CHAMPIONING CH AE1 M P IY0 AH0 N IH0 NG +CHAMPIONS CH AE1 M P IY0 AH0 N Z +CHAMPIONSHIP CH AE1 M P IY0 AH0 N SH IH2 P +CHAMPIONSHIP'S CH AE1 M P IY0 AH0 N SH IH2 P S +CHAMPIONSHIPS CH AE1 M P IY0 AH0 N SH IH2 P S +CHAMPLAIN SH AE0 M P L EY1 N +CHAMPLIN CH AE1 M P L IH0 N +CHAMPNEY CH AE1 M P N IY0 +CHAMPOUX SH AE0 M P UW1 +CHAMPS CH AE1 M P S +CHAN CH AE1 N +CHAN'S CH AE1 N Z +CHANA CH AE1 N AH0 +CHANCE CH AE1 N S +CHANCED CH AE1 N S T +CHANCELLOR CH AE1 N S AH0 L ER0 +CHANCELLOR(2) CH AE1 N S L ER0 +CHANCELLOR'S CH AE1 N S AH0 L ER0 Z +CHANCELLORS CH AE1 N S AH0 L ER0 Z +CHANCERY CH AE1 N S ER0 IY0 +CHANCES CH AE1 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ER1 K AH0 T R IY0 +CIRCUITS S ER1 K AH0 T S +CIRCULAR S ER1 K Y AH0 L ER0 +CIRCULARIZE S ER1 K Y AH0 L ER0 AY2 Z +CIRCULARIZING S ER1 K Y AH0 L ER0 AY2 Z IH0 NG +CIRCULARLY S ER1 K Y AH0 L ER0 L IY0 +CIRCULARS S ER1 K Y AH0 L ER0 Z +CIRCULATE S ER1 K Y AH0 L EY2 T +CIRCULATED S ER1 K Y AH0 L EY2 T IH0 D +CIRCULATES S ER1 K Y AH0 L EY2 T S +CIRCULATING S ER1 K Y AH0 L EY2 T IH0 NG +CIRCULATION S ER1 K Y AH0 L EY2 SH AH0 N +CIRCULATIONS S ER2 K Y AH0 L EY1 SH AH0 N Z +CIRCULATORY S ER1 K Y AH0 L AH0 T AO2 R IY0 +CIRCUMCISE S ER1 K AH0 M S AY2 Z +CIRCUMCISED S ER1 K AH0 M S AY2 Z D +CIRCUMCISION S ER2 K AH0 M S IH1 ZH AH0 N +CIRCUMFERENCE S ER2 K AH1 M F R AH0 N S +CIRCUMNAVIGATE S ER2 K AH0 M N AE1 V AH0 G EY2 T +CIRCUMSCRIBE S ER2 K AH0 M S K R AY1 B +CIRCUMSCRIBED S ER2 K AH0 M S K R AY1 B D +CIRCUMSPECT S ER1 K AH0 M S P EH2 K T +CIRCUMSPECTION S ER2 K AH0 M S P EH1 K SH AH0 N +CIRCUMSTANCE S ER1 K AH0 M S T AE2 N S +CIRCUMSTANCES S ER1 K AH0 M S T AE2 N S AH0 Z +CIRCUMSTANCES(2) S 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+CISKEI S IH0 S K EY1 +CISLER S IH1 S AH0 L ER0 +CISLER(2) S IH1 S L ER0 +CISLO CH IY1 S L OW0 +CISNEROS S IH0 S N EH1 R OW2 S +CISNEY S IH1 Z N IY0 +CISSELL S IH1 S AH0 L +CISSIE S IH1 S IY0 +CISSNA S IH1 S N AH0 +CIST S IH1 S T +CISTERCIAN S IH0 S T ER1 SH AH0 N +CISTERN S IH1 S T ER0 N +CISTERNS S IH1 S T ER0 N Z +CISZEK CH IH1 SH EH0 K +CISZEWSKI CH IH0 SH EH1 F S K IY2 +CIT S IY2 AY2 T IY1 +CITADEL S IH1 T AH0 D EH2 L +CITADEL'S S IH1 T AH0 D EH2 L Z +CITATION S AY0 T EY1 SH AH0 N +CITATIONS S AY0 T EY1 SH AH0 N Z +CITE S AY1 T +CITED S AY1 T AH0 D +CITED(2) S AY1 T IH0 D +CITES S AY1 T S +CITGO S IH1 T G OW0 +CITI S IH1 T IY0 +CITIBANK S IH1 T IY0 B AE2 NG K +CITIBANK'S S IH1 T IY0 B AE2 NG K S +CITIC S IH1 T IH0 K +CITICORP S IH1 T IY0 K AO2 R P +CITICORP'S S IH1 T IY0 K AO2 R P S +CITICORPS S IH1 T IY0 K AO2 R P S +CITICORPS' S IH1 T IY0 K AO2 R P S +CITIES S IH1 T IY0 Z +CITIES' S IH1 T IY0 Z +CITING S AY1 T IH0 NG +CITISTEEL S IH1 T IY0 S T IY2 L +CITIZEN S IH1 T AH0 Z AH0 N +CITIZEN(2) S IH1 T IH0 Z AH0 N +CITIZEN'S S IH1 T AH0 Z AH0 N Z +CITIZENRY S IH1 T IH0 Z AH0 N R IY0 +CITIZENRY'S S IH1 T IH0 Z AH0 N R IY0 Z +CITIZENS S IH1 T AH0 Z AH0 N Z +CITIZENS(2) S IH1 T IH0 Z AH0 N Z +CITIZENS' S IH1 T IH0 Z AH0 N Z +CITIZENSHIP S IH1 T IH0 Z AH0 N SH IH2 P +CITRANO CH IY0 T R AA1 N OW0 +CITRIC S IH1 T R IH0 K +CITRIN S IH1 T R IH0 N +CITRINE S IH2 T R IY1 N +CITRIX S IH1 T R IH0 K S +CITRO S IH1 T R OW0 +CITROEN S IH1 T R OW0 N +CITRON S IH1 T R AH0 N +CITRON(2) S IH1 T R AH0 N Z +CITRON'S S IH1 T R AH0 N Z +CITRON'S(2) S IH1 T R AA0 N Z +CITRONELLA S IH2 T R AA0 N EH1 L AH0 +CITROSUCO S IH2 T R AH0 S UW1 K OW0 +CITRUCEL S IH1 T R AH0 S EH2 L +CITRUCEL'S S IH1 T R AH0 S EH2 L Z +CITRUS S IH1 T R AH0 S +CITRUS'S S IH1 T R AH0 S AH0 Z +CITRUS'S(2) S IH1 T R AH0 S IH0 Z +CITTADINO CH IY0 T AA0 D IY1 N OW0 +CITY S IH1 T IY0 +CITY'S S IH1 T IY0 Z +CITYFED S IH1 T IY0 F EH2 D +CITYPLACE S IH1 T IY0 P L EY2 S +CITYSEARCH S IH1 T IY0 S ER2 CH +CITYSIDE S IH1 T IY0 S AY2 D +CITYTRUST S IH1 T IY0 T R AH2 S T +CITYWIDE S IH1 T IY0 W AY2 D +CIUCCI CH UW1 CH IY0 +CIUDAD S IY2 UW0 D AE1 D +CIULLA CH UW1 L AH0 +CIULLO CH UW1 L OW0 +CIVET S IH1 V AH0 T +CIVIC S IH1 V IH0 K +CIVICS S IH1 V IH0 K S +CIVIL S IH1 V AH0 L +CIVILETTI S IY2 V IH0 L EH1 T IY0 +CIVILIAN S AH0 V IH1 L Y AH0 N +CIVILIANS S AH0 V IH1 L Y AH0 N Z +CIVILITY S AH0 V IH1 L AH0 T IY0 +CIVILIZATION S IH2 V AH0 L IH0 Z EY1 SH AH0 N +CIVILIZATIONS S IH2 V AH0 L IH0 Z EY1 SH AH0 N Z +CIVILIZE S IH1 V AH0 L AY2 Z +CIVILIZED S IH1 V AH0 L AY2 Z D +CIVILLY S IH1 V IH0 L IY0 +CIVITELLO CH IY0 V IY0 T EH1 L OW0 +CIZEK CH IH1 Z EH0 K +CIZIK S IY1 Z IH0 K +CIZNEROS S IH2 Z N EH1 R OW0 S +CLAAR K L AA1 R +CLAASSEN K L AA1 S AH0 N +CLABAUGH K L AE1 B AO0 +CLABIR K L AE1 B IH0 R +CLABO K L AA1 B OW0 +CLABORN K L AE1 B ER0 N +CLABOUGH K L AE1 B AW0 +CLACK K L AE1 K +CLACKAMAS K L AE1 K AH0 M AH0 S +CLAD K L AE1 D +CLADDAGH K L AE1 D AH2 +CLADIFICATION K L AE2 D AH0 F AH0 K EY1 SH AH0 N +CLAES K L EY1 Z +CLAEYS K L EY1 Z +CLAFFEY K L AE1 F IY0 +CLAFLIN K L AE1 F L IH0 N +CLAGETT K L AE1 JH IH0 T +CLAGG K L AE1 G +CLAGGETT K L AE1 G IH0 T +CLAGUE K L AA1 G +CLAIBORN K L EY1 B ER0 N +CLAIBORNE K L EY1 B ER0 N +CLAIBORNE'S K L EY1 B AO0 R N Z +CLAIBORNE'S(2) K L EY1 B ER0 N Z +CLAIM K L EY1 M +CLAIMANT K L EY1 M AH0 N T +CLAIMANTS K L EY1 M AH0 N T S +CLAIMANTS' K L EY1 M AH0 N T S +CLAIMED K L EY1 M D +CLAIMING K L EY1 M IH0 NG +CLAIMS K L EY1 M Z +CLAIR K L EH1 R +CLAIRE K L EH1 R +CLAIRE'S K L EH1 R Z +CLAIRMONT K L EH1 R M AH0 N T +CLAIROL K L EH1 R AA0 L +CLAIRSON K L EH1 R S AH0 N +CLAIRVOYANCE K L EH0 R V OY1 AH0 N S +CLAIRVOYANT K L EH0 R V OY1 AH0 N T +CLAM K L AE1 M +CLAMBER K L AE1 M B ER0 +CLAMBERED K L AE1 M B ER0 D +CLAMEN K L EY1 M AH0 N +CLAMMED K L AE1 M D +CLAMMY K L AE1 M IY0 +CLAMOR K L AE1 M ER0 +CLAMORED K L AE1 M ER0 D +CLAMORING K L AE1 M ER0 IH0 NG +CLAMOUR K L AE1 M ER0 +CLAMP K L AE1 M P +CLAMPDOWN K L AE1 M P D AW2 N +CLAMPED K L AE1 M P T +CLAMPETT K L AE1 M P AH0 T +CLAMPING K L AE1 M P IH0 NG +CLAMPITT K L AH0 M P IH1 T +CLAMPS K L AE1 M P S +CLAMS K L AE1 M Z +CLAMSHELL K L AE1 M SH EH2 L +CLAN K L AE1 N +CLANCEY K L AE1 N S IY0 +CLANCY K L AE1 N S IY0 +CLANCY'S K L AE1 N S IY0 Z +CLANDESTINE K L AE0 N D EH1 S T IH0 N +CLANDESTINELY K L AE0 N D EH1 S T AH0 N L IY0 +CLANG K L AE1 NG +CLANGING K L AE1 NG IH0 NG +CLANIN K L AE1 N IH0 N +CLANK K L AE1 NG K +CLANKING K L AE1 NG K IH0 NG +CLANNISH K L AE1 N IH0 SH +CLANS K L AE1 N Z +CLANTON K L AE1 N T AH0 N +CLAP K L AE1 P +CLAPBOARD K L AE1 P B AO2 R D +CLAPBOARDS K L AE1 P B AO2 R D Z +CLAPHAM K L AE1 F AH0 M +CLAPMAN K L AE1 P M AH0 N +CLAPP K L AE1 P +CLAPPED K L AE1 P T +CLAPPER K L AE1 P ER0 +CLAPPING K L AE1 P IH0 NG +CLAPS K L AE1 P S +CLAPSADDLE K L AE1 P S AE2 D AH0 L +CLAPTON K L AE1 P T AH0 N +CLAPTON'S K L AE1 P T AH0 N Z +CLAR K L AA1 R +CLARA K L AE1 R AH0 +CLARA(2) K L EH1 R AH0 +CLARA'S K L AE1 R AH0 Z +CLARA'S(2) K L EH1 R AH0 Z +CLARABELLE K L AE1 R AH0 B AH0 L +CLARABELLE(2) K L AE1 R AH0 B EH2 L +CLARAMAE K L AA0 R AA1 M AY0 +CLARAN K L EH1 R AH0 N +CLARCOR K L AA1 R K AO2 R +CLARDY K L AA1 R D IY0 +CLARE K L EH1 R +CLAREMONT K L EH1 R M AA2 N T +CLAREN K L AE1 R AH0 N +CLARENCE K L EH1 R AH0 N S +CLARENDON K L EH1 R AH0 N D AH0 N +CLARESTA K L AA0 R EH1 S T AH0 +CLARETTE K L ER0 EH1 T +CLAREY K L AE1 R IY0 +CLARIBEL K L EH1 R AH0 B EH2 L +CLARICE K L ER0 IY1 S +CLARIDA K L AA0 R IY1 D AH0 +CLARIDGE K L EH1 R IH0 JH +CLARIDGES K L EH1 R IH0 JH IH0 Z +CLARIDON K L EH1 R AH0 D AA0 N +CLARIFICATION K L EH2 R AH0 F AH0 K EY1 SH AH0 N +CLARIFICATIONS K L EH2 R IH0 F IH0 K EY1 SH AH0 N Z +CLARIFIED K L EH1 R AH0 F AY2 D +CLARIFIES K L EH1 R AH0 F AY2 Z +CLARIFY K L EH1 R AH0 F AY2 +CLARIFYING K L EH1 R AH0 F AY2 IH0 NG +CLARIMOND K L AE1 R IH0 M AH0 N D +CLARINDA K L ER0 IH1 N D AH0 +CLARINE K L EH1 R IY0 N +CLARINET K L EH2 R AH0 N EH1 T +CLARINETIST K L EH2 R AH0 N EH1 T IH0 S T +CLARINETISTS K L EH2 R AH0 N EH1 T IH0 S T S +CLARINS K L EH1 R IH0 N Z +CLARION K L EH1 R IY0 AH0 N +CLARIS K L EH1 R IH0 S +CLARISSA K L ER0 IH1 S AH0 +CLARISSE K L AE1 R IH0 S +CLARISSE(2) K L AH0 R IY1 S +CLARITA K L AA0 R IY1 T AH0 +CLARITIN K L EH1 R IH0 T IH0 N +CLARITY K L EH1 R AH0 T IY0 +CLARITY(2) K L EH1 R IH0 T IY0 +CLARK K L AA1 R K +CLARK'S K L AA1 R K S +CLARKE K L AA1 R K +CLARKE'S K L AA1 R K S +CLARKEN K L AA1 R K EH0 N +CLARKIN K L AA1 R K IH0 N +CLARKS K L AA1 R K S +CLARKSBURG K L AA1 R K S B ER0 G +CLARKSON K L AA1 R K S AH0 N +CLARKSTON K L AA1 R K S T AH0 N +CLARKSVILLE K L AA1 R K S V IH2 L +CLARO K L AA1 R OW0 +CLAROSTAT K L EH1 R AH0 S T AE2 T +CLARRIDGE K L AE1 R IH0 JH +CLARRISSE K L AE1 R IH0 S +CLARY K L EH1 R IY0 +CLASBY K L AE1 S B IY0 +CLASEN K L EY1 S AH0 N +CLASH K L AE1 SH +CLASHED K L AE1 SH T +CLASHES K L AE1 SH IH0 Z +CLASHING K L AE1 SH IH0 NG +CLASON K L AE1 S AH0 N +CLASP K L AE1 S P +CLASPED K L AE1 S P T +CLASS K L AE1 S +CLASS'S K L AE1 S IH0 Z +CLASSACTION K L AE1 S AE1 K SH AH0 N +CLASSACTIONS K L AE1 S AE1 K SH AH0 N Z +CLASSED K L AE1 S T +CLASSEN K L AE1 S AH0 N +CLASSES K L AE1 S AH0 Z +CLASSES(2) K L AE1 S IH0 Z +CLASSIC K L AE1 S IH0 K +CLASSICAL K L AE1 S IH0 K AH0 L +CLASSICALLY K L AE1 S IH0 K L IY0 +CLASSICISM K L AE1 S IH0 S IH2 Z AH0 M +CLASSICIST K L AE1 S AH0 S AH0 S T +CLASSICS K L AE1 S IH0 K S +CLASSIER K L AE1 S IY0 ER0 +CLASSIFIABLE K L AE1 S AH0 F AY2 AH0 B AH0 L +CLASSIFICATION K L AE2 S AH0 F AH0 K EY1 SH AH0 N +CLASSIFICATIONS K L AE2 S AH0 F AH0 K EY1 SH AH0 N Z +CLASSIFIED K L AE1 S AH0 F AY2 D +CLASSIFIEDS K L AE1 S AH0 F AY2 D Z +CLASSIFIES K L AE1 S AH0 F AY2 Z +CLASSIFY K L AE1 S AH0 F AY2 +CLASSIFYING K L AE1 S AH0 F AY2 IH0 NG +CLASSING K L AE1 S IH0 NG +CLASSLESS K L AE1 S L AH0 S +CLASSMAN K L AE1 S M AH0 N +CLASSMATE K L AE1 S M EY2 T +CLASSMATES K L AE1 S M EY2 T S +CLASSMEN K L AE1 S M EH0 N +CLASSON K L AE1 S AH0 N +CLASSROOM K L AE1 S R UW2 M +CLASSROOMS K L AE1 S R UW2 M Z +CLASSY K L AE1 S IY0 +CLATTER K L AE1 T ER0 +CLATTERING K L AE1 T ER0 IH0 NG +CLAUD K L AO1 D +CLAUDE K L AO1 D +CLAUDET K L AO0 D EH1 T +CLAUDETTE K L OW0 D EH1 T +CLAUDIA K L AO1 D IY0 AH0 +CLAUDIAN K L AO1 D IY0 AH0 N +CLAUDIE K L AO1 D IY0 +CLAUDINA K L AO1 D IH0 N AH0 +CLAUDINA(2) K L AO0 D IY1 N AH0 +CLAUDINE K L AO0 D IY1 N +CLAUDIO K L AO1 D IY0 OW2 +CLAUDIUS K L AO1 D IY0 AH0 S +CLAUDSON K L AO1 D S AH0 N +CLAUNCH K L AO1 N CH +CLAUS K L AO1 Z +CLAUS' K L AO1 Z +CLAUSE K L AO1 Z +CLAUSELL K L AO1 Z AH0 L +CLAUSEN K L AW1 S AH0 N +CLAUSER K L AO1 Z ER0 +CLAUSES K L AO1 Z AH0 Z +CLAUSES(2) K L AO1 Z IH0 Z +CLAUSING K L AO1 Z IH0 NG +CLAUSON K L AO1 Z AH0 N +CLAUSS K L AO1 S +CLAUSSEN K L AO1 Z S AH0 N +CLAUSTROPHOBIA K L AO2 S T R AH0 F OW1 B IY0 AH0 +CLAUSTROPHOBIC K L AO2 S T R AH0 F OW1 B IH0 K +CLAVETTE K L AH0 V EH1 T +CLAVICHORD K L AE1 V AH0 K AO2 R D +CLAVICLE K L AE1 V AH0 K AH0 L +CLAVICLE(2) K L AE1 V IH0 K AH0 L +CLAVIN K L AE1 V IH0 N +CLAW K L AO1 +CLAWED K L AO1 D +CLAWING K L AO1 IH0 NG +CLAWS K L AO1 Z +CLAWSON K L AO1 S AH0 N +CLAXON K L AE1 K S AH0 N +CLAXTON K L AE1 K S T AH0 N +CLAY K L EY1 +CLAYBAUGH K L EY1 B AO2 +CLAYBORN K L EY1 B ER0 N +CLAYBORNE K L EY1 B ER0 N +CLAYBOURNE K L EY1 B ER0 N +CLAYBROOK K L EY1 B R UH2 K +CLAYBROOKS K L EY1 B R UH2 K S +CLAYBURN K L EY1 B ER2 N +CLAYCOMB K L EY1 K AH0 M +CLAYEY K L EY1 IY0 +CLAYMAN K L EY1 M AH0 N +CLAYMATION K L EY1 M EY2 SH AH0 N +CLAYMONT K L EY1 M AA2 N T +CLAYMORE K L EY1 M AO2 R +CLAYPOOL K L EY1 P UW2 L +CLAYPOOLE K L EY1 P UW2 L +CLAYS K L EY1 Z +CLAYSON K L EY1 Z AH0 N +CLAYTON K L EY1 T AH0 N +CLAYTON'S K L EY1 T AH0 N Z +CLAYTOR K L EY1 T ER0 +CLAYWELL K L EY1 W EH2 L +CLEAH K IY1 AH0 +CLEAN K L IY1 N +CLEANED K L IY1 N D +CLEANER K L IY1 N ER0 +CLEANERS K L IY1 N ER0 Z +CLEANEST K L IY1 N AH0 S T +CLEANING K L IY1 N IH0 NG +CLEANLINESS K L EH1 N L IY0 N IH0 S +CLEANLY K L IY1 N L IY0 +CLEANNESS K L IY1 N IH0 S +CLEANS K L IY1 N Z +CLEANSE K L EH1 N Z +CLEANSED K L EH1 N Z D +CLEANSER K L EH1 N Z ER0 +CLEANSERS K L EH1 N Z ER0 Z +CLEANSING K L EH1 N Z IH0 NG +CLEANTHA K L IY1 N TH AH0 +CLEANUP K L IY1 N AH2 P +CLEANUPS K L IY1 N AH2 P S +CLEAR K L IH1 R +CLEAR-CUT K L IH1 R K AH2 T +CLEARANCE K L IH1 R AH0 N S +CLEARANCES K L IH1 R AH0 N S IH0 Z +CLEARCUT K L IH1 R K AH2 T +CLEARCUTS K L IH1 R K AH2 T S +CLEARCUTTING K L IH1 R K AH2 T IH0 NG +CLEARED K L IH1 R D +CLEARER K L IH1 R ER0 +CLEAREST K L IH1 R IH0 S T +CLEARING K L IH1 R IH0 NG +CLEARINGHOUSE K L IH1 R IH0 NG HH AW2 S +CLEARINGHOUSES K L IY1 R IH0 NG HH AW2 S IH0 Z +CLEARLY K L IH1 R L IY0 +CLEARMAN K L IH1 R M AH0 N +CLEARNESS K L IH1 R N AH0 S +CLEARS K L IH1 R Z +CLEARWATER K L IH1 R W AO2 T ER0 +CLEARY K L IH1 R IY0 +CLEAT K L IY1 T +CLEATS K L IY1 T S +CLEAVAGE K L IY1 V AH0 JH +CLEAVAGE(2) K L IY1 V IH0 JH +CLEAVE K L IY1 V +CLEAVELAND K L IY1 V L AH0 N D +CLEAVENGER K L IY1 V IH0 N JH ER0 +CLEAVER K L IY1 V ER0 +CLEAVES K L IY1 V Z +CLECKLER K L EH1 K L ER0 +CLECKLEY K L EH1 K L IY0 +CLECKNER K L EH1 K N ER0 +CLEEK K L IY1 K +CLEERE K L IH1 R +CLEESE K L IY1 S +CLEETON K L IY1 T AH0 N +CLEF K L EH1 F +CLEFT K L EH1 F T +CLEGG K L EH1 G +CLEGHORN K L EH1 G HH ER0 N +CLELAND K L EH1 L AH0 N D +CLELL K L EH1 L +CLELLAND K L EH1 L AH0 N D +CLEM K L EH1 M +CLEMANS K L EH1 M AH0 N Z +CLEMATIS K L EH1 M AH0 T IH0 S +CLEMATIS(2) K L AH0 M AE1 T IH0 S +CLEMEN K L EH1 M AH0 N +CLEMENCE K L EH1 M AH0 N S +CLEMENCY K L EH1 M AH0 N S IY0 +CLEMENS K L EH1 M AH0 N Z +CLEMENSEN K L EH1 M AH0 N S AH0 N +CLEMENSON K L EH1 M IH0 N S AH0 N +CLEMENT K L EH1 M AH0 N T +CLEMENTE K L AH0 M EH1 N T EY0 +CLEMENTE(2) K L AH0 M EH1 N T IY0 +CLEMENTE'S K L AH0 M EH1 N T EY0 Z +CLEMENTE'S(2) K L AH0 M EH1 N T IY0 Z +CLEMENTES K L AH0 M EH1 N T EY0 Z +CLEMENTES(2) K L AH0 M EH1 N T IY0 Z +CLEMENTI K L EY0 M EY1 N T IY0 +CLEMENTIA K L EY0 M EY1 N SH AH0 +CLEMENTINE K L EH1 M AH0 N T AY2 N +CLEMENTINE(2) K L EH1 M AH0 N T IY2 N +CLEMENTS K L EH1 M AH0 N T S +CLEMENTSON K L EH1 M IH0 N T S AH0 N +CLEMENTZ K L EH1 M IH0 N T S +CLEMMER K L EH1 M ER0 +CLEMMIE K L EH1 M IY0 +CLEMMONS K L EH1 M AH0 N Z +CLEMMY K L EH1 M IY0 +CLEMO K L EY1 M OW0 +CLEMONS K L EH1 M AH0 N Z +CLEMSON K L EH1 M S AH0 N +CLENCH K L EH1 N CH +CLENCHED K L EH1 N CH T +CLENCHER K L EH1 N CH ER0 +CLENCHES K L EH1 N CH AH0 Z +CLENDANIEL K L EH1 N D AH0 N IY2 L +CLENDENEN K L EH1 N D AH0 N AH0 N +CLENDENIN K L EH1 N D IH0 N IH0 N +CLENDENING K L EH1 N D AH0 N IH0 NG +CLENDENNING K L EH2 N D EH1 N IH0 NG +CLENNEY K L EH1 N IY0 +CLENWAR K L EH1 N W ER0 +CLEO K L IY1 OW0 +CLEOPATRA K L IY2 AH0 P AE1 T R AH0 +CLEOPATRA'S K L IY2 AH0 P AE1 T R AH0 Z +CLEPHANE K L EH1 F EY2 N +CLEPPER K L EH1 P ER0 +CLERC K L ER1 K +CLERCQ K L ER1 K +CLERGY K L ER1 JH IY0 +CLERGYMAN K L ER1 JH IY0 M AH0 N +CLERGYMAN(2) K L ER1 JH IY0 M AE2 N +CLERGYMEN K L ER1 JH IY0 M IH0 N +CLERGYMEN(2) K L ER1 JH IY0 M EH2 N +CLERIC K L EH1 R IH0 K +CLERICAL K L EH1 R AH0 K AH0 L +CLERICAL(2) K L EH1 R IH0 K AH0 L +CLERICS K L EH1 R IH0 K S +CLERISSA K L ER0 IY1 S AH0 +CLERK K L ER1 K +CLERK'S K L ER1 K S +CLERKIN K L ER1 K IH0 N +CLERKS K L ER1 K S +CLERKS' K L ER1 K S +CLERMONT K L EH1 R M AA2 N T +CLEVA K L IY1 V AH0 +CLEVE K L IY1 V +CLEVELAND K L IY1 V L AH0 N D +CLEVELAND'S K L IY1 V L AH0 N D Z +CLEVELANDER K L IY1 V L AH0 N D ER0 +CLEVELANDERS K L IY1 V L AH0 N D ER0 Z +CLEVEN K L IY1 V AH0 N +CLEVENGER K L EH1 V IH0 N JH ER0 +CLEVER K L EH1 V ER0 +CLEVERER K L EH1 V AH0 R ER2 +CLEVERLY K L EH1 V ER0 L IY0 +CLEVERNESS K L EH1 V ER0 N AH0 S +CLEVETRUST K L IY1 V T R AH1 S T +CLEVIE K L IY1 V IY0 +CLEVINGER K L EH1 V IH0 NG ER0 +CLEVITE K L AH0 V AY1 T +CLEVITE'S K L AH0 V AY1 T S +CLEWELL K L EH1 W EH0 L +CLEWIS K L UW1 IH0 S +CLEWISTON K L UW1 AH0 S T AH0 N +CLEWS K L UW1 Z +CLIANTHA K L IY0 AE1 N TH AH0 +CLIBURN K L AY1 B ER0 N +CLICHE K L IY0 SH EY1 +CLICHED K L IY2 SH EY1 D +CLICHES K L IY0 SH EY1 Z +CLICK K L IH1 K +CLICKBAIT K L IH1 K B EY2 T +CLICKED K L IH1 K T +CLICKER K L IH1 K ER0 +CLICKING K L IH1 K IH0 NG +CLICKNER K L IH1 K N ER0 +CLICKS K L IH1 K S +CLIENT K L AY1 AH0 N T +CLIENT'S K L AY1 AH0 N T S +CLIENTELE K L AY2 AH0 N T EH1 L +CLIENTS K L AY1 AH0 N T S +CLIENTS' K L AY1 AH0 N T S +CLIETT K L IY1 T +CLIF K L IH1 F +CLIFF K L IH1 F +CLIFF'S K L IH1 F S +CLIFFE K L IH1 F +CLIFFHANGER K L IH1 F HH AE2 NG ER0 +CLIFFHANGERS K L IH1 F HH AE2 NG ER0 Z +CLIFFORD K L IH1 F ER0 D +CLIFFORD'S K L IH1 F ER0 D Z +CLIFFS K L IH1 F S +CLIFFS' K L IH1 F S +CLIFT K L IH1 F T +CLIFTON K L IH1 F T AH0 N +CLIGGOTT K L IH1 G AH0 T +CLIM K L IH1 M +CLIMACO K L IH1 M AH0 K OW0 +CLIMACTIC K L AY0 M AE1 K T IH0 K +CLIMATE K L AY1 M AH0 T +CLIMATE(2) K L AY1 M IH0 T +CLIMATES K L AY1 M AH0 T S +CLIMATES(2) K L AY1 M IH0 T S +CLIMATIC K L AY0 M AE1 T IH0 K +CLIMATOLOGIST K L IH2 M AH0 T AA1 L AH0 JH IH0 S T +CLIMATOLOGIST(2) K L AY2 M AH0 T AA1 L AH0 JH IH0 S T +CLIMATOLOGISTS K L IH2 M AH0 T AA1 L AH0 JH IH0 S T S +CLIMATOLOGISTS(2) K L AY2 M AH0 T AA1 L AH0 JH IH0 S T S +CLIMATOLOGISTS(3) K L IH2 M AH0 T AA1 L AH0 JH IH0 S +CLIMATOLOGISTS(4) K L AY2 M AH0 T AA1 L AH0 JH IH0 S +CLIMAX K L AY1 M AE2 K S +CLIMAXED K L AY1 M AE2 K S T +CLIMAXES K L IH1 M AE0 K S IH0 Z +CLIMAXES(2) K L AY1 M AE0 K S IH0 Z +CLIMB K L AY1 M +CLIMBED K L AY1 M D +CLIMBER K L AY1 M ER0 +CLIMBERS K L AY1 M ER0 Z +CLIMBERS' K L AY1 M ER0 Z +CLIMBING K L AY1 M IH0 NG +CLIMBS K L AY1 M Z +CLIMER K L AY1 M ER0 +CLIMES K L AY1 M Z +CLINARD K L IH1 N ER0 D +CLINCH K L IH1 N CH +CLINCHED K L IH1 N CH T +CLINCHER K L IH1 N CH ER0 +CLINCHES K L IH1 N CH AH0 Z +CLINCHES(2) K L IH1 N CH IH0 Z +CLINCHING K L IH1 N CH IH0 NG +CLINE K L AY1 N +CLINES K L AY1 N Z +CLINES'S K L AY1 N Z IH0 Z +CLING K L IH1 NG +CLINGAN K L IH1 NG G AH0 N +CLINGENPEEL K L IH0 NG G EH1 N P IY0 L +CLINGER K L IH1 NG ER0 +CLINGER'S K L IH1 NG ER0 Z +CLINGERMAN K L IH1 NG ER0 M AH0 N +CLINGING K L IH1 NG IH0 NG +CLINGMAN K L IH1 NG M AH0 N +CLINGS K L IH1 NG Z +CLINI K L IY1 N IY0 +CLINIC K L IH1 N IH0 K +CLINIC'S K L IH1 N IH0 K S +CLINICAL K L IH1 N AH0 K AH0 L +CLINICAL(2) K L IH1 N IH0 K AH0 L +CLINICAL'S K L IH1 N IH0 K AH0 L Z +CLINICALLY K L IH1 N IH0 K AH0 L IY0 +CLINICALLY(2) K L IH1 N IH0 K L IY0 +CLINICIAN K L IH0 N IH1 SH AH0 N +CLINICIANS K L IH0 N IH1 SH AH0 N Z +CLINICS K L IH1 N IH0 K S +CLINIQUE K L AH0 N IY1 K +CLINK K L IH1 NG K +CLINKENBEARD K L IH0 NG K EH1 N B ER0 D +CLINKSCALE K L IH1 NG K S K EY2 L +CLINKSCALES K L IH1 NG K S K EY2 L Z +CLINT K L IH1 N T +CLINTON K L IH1 N T AH0 N +CLINTON'S K L IH1 N T AH0 N Z +CLINTONITE K L IH1 N T AH0 N AY2 T +CLINTONITES K L IH1 N T AH0 N AY2 T S +CLINTONOMICS K L IH2 N T AH0 N AA1 M IH0 K S +CLINTONS K L IH1 N T AH0 N Z +CLINTONS' K L IH1 N T AH0 N Z +CLIO K L IY1 OW0 +CLIP K L IH1 P +CLIPBOARD K L IH1 P B AO2 R D +CLIPPARD K L IH1 P ER0 D +CLIPPED K L IH1 P T +CLIPPER K L IH1 P ER0 +CLIPPERS K L IH1 P ER0 Z +CLIPPING K L IH1 P IH0 NG +CLIPPINGER K L IH1 P IH0 NG ER0 +CLIPPINGS K L IH1 P IH0 NG Z +CLIPS K L IH1 P S +CLIQUE K L IY1 K +CLIQUES K L IH1 K S +CLITES K L AY1 T S +CLITORIS K L AY0 T AO1 R IH0 S +CLIVE K L AY1 V +CLIVER K L AY1 V ER0 +CLO S IY2 EH2 L OW1 +CLOAK K L OW1 K +CLOAKED K L OW1 K T +CLOAKING K L OW1 K IH0 NG +CLOAKROOM K L OW1 K R UW2 M +CLOBBER K L AA1 B ER0 +CLOBBERED K L AA1 B ER0 D +CLOBBERING K L AA1 B ER0 IH0 NG +CLOCK K L AA1 K +CLOCK'S K L AA1 K S +CLOCKED K L AA1 K T +CLOCKER K L AA1 K ER0 +CLOCKERS K L AA1 K ER0 Z +CLOCKING K L AA1 K IH0 NG +CLOCKS K L AA1 K S +CLOCKWISE K L AA1 K W AY2 Z +CLOCKWORK K L AA1 K W ER2 K +CLODFELTER K L AA1 D F EH2 L T ER0 +CLODOVEO K L OW0 D OW1 V IY0 OW0 +CLOE K L OW1 +CLOER K L OW1 ER0 +CLOEY K L OW1 IY0 +CLOG K L AA1 G +CLOGGED K L AO1 G D +CLOGGING K L AA1 G IH0 NG +CLOGGING(2) K L AO1 G IH0 NG +CLOGS K L AA1 G Z +CLOGSTON K L AA1 G S T AH0 N +CLOHERTY K L AA1 HH ER0 T IY0 +CLOHESSY K L AA1 HH IH0 S IY0 +CLOISTER K L OY1 S T ER0 +CLOISTERED K L OY1 S T ER0 D +CLOISTERS K L OY1 S T ER0 Z +CLOKE K L OW1 K +CLOMIPRAMINE K L OW1 M IH0 P R AH0 M AY2 N +CLONCH K L AA1 N CH +CLONE K L OW1 N +CLONED K L OW1 N D +CLONES K L OW1 N Z +CLONES' K L OW1 N Z +CLONIDINE K L AA1 N IH0 D IY2 N +CLONING K L OW1 N IH0 NG +CLONINGER K L OW1 N IH0 NG ER0 +CLONTS K L AA1 N T S +CLONTZ K L AA1 N T S +CLOONAN K L UW1 N AH0 N +CLOONEY K L UW1 N IY0 +CLOOTIE K L UW1 T IY0 +CLOPPER K L AA1 P ER0 +CLOPTON K L AA1 P T AH0 N +CLORE K L AO1 R +CLORE'S K L AO1 R Z +CLORINDA K L AO0 R IY1 N D AH0 +CLOROX K L AO1 R AA0 K S +CLOS K L AA1 S +CLOSE K L OW1 S +CLOSE(2) K L OW1 Z +CLOSE-UP K L OW1 S AH2 P +CLOSED K L OW1 Z D +CLOSEDOWN K L OW1 Z D AW2 N +CLOSEDOWNS K L OW1 Z D AW2 N Z +CLOSELY K L OW1 S L IY0 +CLOSENESS K L OW1 S N IH0 S +CLOSER K L OW1 S ER0 +CLOSER(2) K L OW1 Z ER0 +CLOSES K L OW1 Z IH0 Z +CLOSEST K L OW1 S AH0 S T +CLOSET K L AA1 Z AH0 T +CLOSETED K L AA1 Z AH0 T IH0 D +CLOSETS K L AA1 Z AH0 T S +CLOSEUP K L OW1 S AH1 P +CLOSEUPS K L OW1 S AH1 P S +CLOSING K L OW1 Z IH0 NG +CLOSINGS K L OW1 Z IH0 NG Z +CLOSS K L AO1 S +CLOSSER K L AO1 S ER0 +CLOSSON K L AA1 S AH0 N +CLOSURE K L OW1 ZH ER0 +CLOSURES K L OW1 ZH ER0 Z +CLOT K L AA1 T +CLOTFELTER K L AA1 T F EH2 L T ER0 +CLOTH K L AO1 TH +CLOTHE K L OW1 DH +CLOTHED K L OW1 DH D +CLOTHES K L OW1 DH Z +CLOTHES(2) K L OW1 Z +CLOTHESHORSE K L OW1 Z HH AO2 R S +CLOTHESTIME K L OW1 DH Z T AY1 M +CLOTHIER K L OW1 DH Y ER0 +CLOTHIERS K L OW1 DH Y ER0 Z +CLOTHILDA K L AH0 TH IH1 L D AH0 +CLOTHILDE K L AA1 TH IH0 L D +CLOTHING K L OW1 DH IH0 NG +CLOTHS K L AO1 TH S +CLOTILDA K L AH0 T IH1 L D AH0 +CLOTS K L AA1 T S +CLOTT K L AA1 T +CLOTTED K L AA1 T AH0 D +CLOTTED(2) K L AA1 T IH0 D +CLOTTING K L AA1 T IH0 NG +CLOTURE K L OW1 CH ER0 +CLOUATRE K L AW1 AH0 T R +CLOUD K L AW1 D +CLOUDBURST K L AW1 D B ER2 S T +CLOUDED K L AW1 D IH0 D +CLOUDINESS K L AW1 D IY0 N IH0 S +CLOUDING K L AW1 D IH0 NG +CLOUDLESS K L AW1 D L AH0 S +CLOUDS K L AW1 D Z +CLOUDY K L AW1 D IY0 +CLOUGH K L AW1 +CLOUGHERTY K L AW1 ER0 T IY0 +CLOUSE K L AW1 S +CLOUSER K L AW1 S ER0 +CLOUT K L AW1 T +CLOUTHIER K L AW1 TH IY0 ER0 +CLOUTHIER(2) K L OW1 TH IY0 ER0 +CLOUTHIER(3) K L OW1 DH IY0 ER0 +CLOUTIER K L AW1 T IY0 ER0 +CLOVE K L OW1 V +CLOVER K L OW1 V ER0 +CLOVERLEAF K L OW1 V ER0 L IY2 F +CLOVES K L OW1 V Z +CLOVIS K L OW1 V IH0 S +CLOW K L OW1 +CLOWARD K L OW1 W ER0 D +CLOWDUS K L AW1 D IH0 S +CLOWER K L AW1 ER0 +CLOWERS K L AW1 ER0 Z +CLOWES K L AW1 Z +CLOWN K L AW1 N +CLOWNEY K L AW1 N IY0 +CLOWNING K L AW1 N IH0 NG +CLOWNS K L AW1 N Z +CLOY K L OY1 +CLOYD K L OY1 D +CLOYING K L OY1 IH0 NG +CLOZAPINE K L OW1 Z AH0 P AY2 N +CLUB K L AH1 B +CLUB'S K L AH1 B Z +CLUBB K L AH1 B +CLUBBED K L AH1 B D +CLUBBING K L AH1 B IH0 NG +CLUBBY K L AH1 B IY0 +CLUBHOUSE K L AH1 B HH AW2 S +CLUBHOUSES K L AH1 B HH AW2 S IH0 Z +CLUBS K L AH1 B Z +CLUCAS K L UW1 K AH0 Z +CLUCK K L AH1 K +CLUCKEY K L AH1 K IY0 +CLUCKING K L AH1 K IH0 NG +CLUCKS K L AH1 K S +CLUE K L UW1 +CLUED K L UW1 D +CLUELESS K L UW1 L AH0 S +CLUES K L UW1 Z +CLUETT K L UW1 IH0 T +CLUFF K L AH1 F +CLUGSTON K L AH1 G S T AH0 N +CLUJ K L UW1 JH +CLUJ(2) S IY1 EH1 L Y UW1 JH EY1 +CLUKEY K L UW1 K IY0 +CLUM K L AH1 M +CLUMP K L AH1 M P +CLUMPING K L AH1 M P IH0 NG +CLUMPS K L AH1 M P S +CLUMPY K L AH1 M P IY0 +CLUMSILY K L AH1 M S AH0 L IY0 +CLUMSINESS K L AH1 M Z IY0 N AH0 S +CLUMSY K L AH1 M Z IY0 +CLUNE K L UW1 N +CLUNG K L AH1 NG +CLUNK K L AH1 NG K +CLUNKER K L AH1 NG K ER0 +CLUNKERS K L AH1 NG K ER0 Z +CLUNKS K L AH1 NG K S +CLUNKY K L AH1 NG K IY0 +CLUNY K L UW1 N IY0 +CLUSTER K L AH1 S T ER0 +CLUSTERED K L AH1 S T ER0 D +CLUSTERING K L AH1 S T ER0 IH0 NG +CLUSTERS K L AH1 S T ER0 Z +CLUTCH K L AH1 CH +CLUTCHED K L AH1 CH T +CLUTCHES K L AH1 CH AH0 Z +CLUTCHES(2) K L AH1 CH IH0 Z +CLUTCHING K L AH1 CH IH0 NG +CLUTE K L UW1 T +CLUTTER K L AH1 T ER0 +CLUTTERED K L AH1 T ER0 D +CLUTTERING K L AH1 T ER0 IH0 NG +CLUTTS K L AH1 T S +CLYATT K L AY1 AH0 T +CLYBURN K L IH1 B ER0 N +CLYDE K L AY1 D +CLYDESDALE K L AY1 D Z D EY2 L +CLYMENE K L IH0 M IY1 N +CLYMER K L AY1 M ER0 +CLYNE K L AY1 N +CLYTE K L AY1 T +CLYTIE K L IH1 T IY0 +CLYVE K L AY1 V +CMOS S IY1 M OW0 S +CMOS(2) S IY1 EH1 M OW1 EH1 S +CMU S IY1 EH1 M Y UW1 +CMUDICT S IY2 EH2 M Y UW1 D IH2 K T +CMX K AH0 M EH1 K S +CNBC'S S IY1 EH1 N B IY1 S IY1 Z +CNET S IY1 N EH2 T +CNN S IY1 EH1 N EH1 N +CNN'S S IY1 EH1 N EH1 N Z +CNN.COM S IY1 EH1 N EH1 N D AA1 T K AA1 M +CNNFN S IY1 EH1 N EH1 N EH1 F EH1 N +CO K OW1 +CO-FOUNDER K OW1 F AW1 N D ER0 +CO-LEADER K OW0 L IY1 D ER0 +CO-LEADERS K OW0 L IY1 D ER0 Z +CO-OP K OW1 AA2 P +CO-OPERATIVE K OW2 AA1 P ER2 AH0 T IH0 V +CO-OPERATIVE(2) K OW2 AA1 P R AH0 T IH0 V +CO-OPT K OW0 AA1 P T +CO-OPTED K OW0 AA1 P T AH0 D +CO-OWNER K OW1 OW2 N ER0 +CO-WIFE K OW1 W AY1 F +CO-WORKER K OW1 W ER1 K ER0 +CO-WORKERS K OW1 W ER1 K ER0 Z +CO. K OW1 +CO.(2) K AH1 P AH0 N IY0 +COACH K OW1 CH +COACH'S K OW1 CH IH0 Z +COACHED K OW1 CH T +COACHES K OW1 CH IH0 Z +COACHING K OW1 CH IH0 NG +COACHMAN K OW1 CH M AH0 N +COAD K OW1 D +COADY K OW1 D IY0 +COAGULATE K OW0 AE1 G Y AH0 L EY2 T +COAGULATING K OW0 AE1 G Y AH0 L EY2 T IH0 NG +COAGULATION K OW0 AE1 G Y AH0 L EY1 SH AH0 N +COAKLEY K OW1 K L IY0 +COAL K OW1 L +COAL'S K OW1 L Z +COALE K OW1 L +COALESCE K OW2 AH0 L EH1 S +COALESCED K OW2 AH0 L EH1 S T +COALESCENCE K OW2 AH0 L EH1 S AH0 N S +COALESCES K OW2 AH0 L EH1 S IH0 Z +COALESCING K OW2 AH0 L EH1 S IH0 NG +COALITION K OW2 AH0 L IH1 SH AH0 N +COALITION'S K OW2 AH0 L IH1 SH AH0 N Z +COALITIONS K OW2 AH0 L IH1 SH AH0 N Z +COALS K OW1 L Z +COALSON K OW1 L S AH0 N +COAN K OW1 N +COAR K AO1 R +COARSE K AO1 R S +COARSENING K AO1 R S IH0 N IH0 NG +COARSER K AO1 R S ER0 +COARTICULATE K OW2 AA0 R T IH1 K Y UW0 L EY0 T +COARTICULATED K OW2 AA0 R T IH1 K Y UW0 L EY0 T AH0 D +COARTICULATES K OW2 AA0 R T IH1 K Y UW0 L EY0 T S 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L V IH0 L +COLLEVILLE'S K OW1 L V IH0 L Z +COLLEY K AA1 L IY0 +COLLI K OW1 L IY0 +COLLICK K AA1 L IH0 K +COLLIDE K AH0 L AY1 D +COLLIDED K AH0 L AY1 D IH0 D +COLLIDER K AH0 L AY1 D ER0 +COLLIDES K AH0 L AY1 D Z +COLLIDING K AH0 L AY1 D IH0 NG +COLLIE K AA1 L IY0 +COLLIER K AA1 L Y ER0 +COLLIER'S K AA1 L Y ER0 Z +COLLIERS K AA1 L Y ER0 Z +COLLIES K AA1 L IY0 Z +COLLIGAN K AA1 L IH0 G AE0 N +COLLIGNON K AH0 L IH1 G N AH0 N +COLLIN K AA1 L IH0 N +COLLING K AA1 L IH0 NG +COLLINGE K AA1 L IH0 N JH +COLLINGS K AA1 L IH0 NG Z +COLLINGSWORTH K AH0 L IH1 NG Z W ER0 TH +COLLINGWOOD K AA1 L IH0 NG W UH2 D +COLLINS K AA1 L IH0 N Z +COLLINS' K AA1 L IH0 N Z +COLLINS'S K AA1 L IH0 N Z IH0 Z +COLLINS'S(2) K AA1 L IH0 N Z +COLLINSON K AA1 L IH0 N S AH0 N +COLLINSWORTH K AH0 L IH1 N S W ER0 TH +COLLIS K AA1 L IH0 S +COLLISION K AH0 L IH1 ZH AH0 N +COLLISIONAL K AH0 L IH1 ZH AH0 N AH0 L +COLLISIONS K AH0 L IH1 ZH AH0 N Z +COLLISON K AA1 L IH0 S AH0 N +COLLISTER K AA1 L IH0 S T ER0 +COLLIVER K AA1 L IH0 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M B AA1 R IY0 +COLOMBE K OW0 L OW1 M B IY0 +COLOMBIA K AH0 L AH1 M B IY0 AH0 +COLOMBIA'S K AH0 L AH1 M B IY0 AH0 Z +COLOMBIAN K AH0 L AH1 M B IY0 AH0 N +COLOMBIANS K AH0 L AH1 M B IY0 AH0 N Z +COLOMBO K AH0 L AH1 M B OW0 +COLOMBO'S K AH0 L AH1 M B OW0 Z +COLON K OW1 L AH0 N +COLONEL K ER1 N AH0 L +COLONEL'S K ER1 N AH0 L Z +COLONELS K ER1 N AH0 L Z +COLONIA K AH0 L OW1 N IY0 AH0 +COLONIAL K AH0 L OW1 N IY0 AH0 L +COLONIAL'S K AH0 L OW1 N IY0 AH0 L Z +COLONIALISM K AH0 L OW1 N IY0 AH0 L IH2 Z AH0 M +COLONIALIST K AH0 L OW1 N IY0 AH0 L IH0 S T +COLONIALISTS K AH0 L OW1 N IY0 AH0 L IH0 S T S +COLONIALS K AH0 L OW1 N IY0 AH0 L Z +COLONIES K AA1 L AH0 N IY0 Z +COLONIST K AA1 L AH0 N IH0 S T +COLONISTS K AA1 L AH0 N IH0 S T S +COLONIZATION K AA2 L AH0 N IH0 Z EY1 SH AH0 N +COLONIZE K AA1 L AH0 N AY2 Z +COLONIZED K AA1 L AH0 N AY2 Z D +COLONIZER K AA1 L AH0 N AY2 Z ER0 +COLONIZERS K AA1 L AH0 N AY2 Z ER0 Z +COLONNA K OW0 L OW1 N AH0 +COLONNADE K AA2 L AH0 N EY1 D +COLONUS K AH0 L OW1 N AH0 S 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K AA1 M IY0 Z +COMMINGLE K AH0 M IH1 NG G AH0 L +COMMINGLE(2) K OW0 M IH1 NG G AH0 L +COMMINGLED K AA0 M IH1 NG G AH0 L D +COMMINGLED(2) K OW0 M IH1 NG G AH0 L D +COMMINGLING K AA0 M IH1 NG G AH0 L IH0 NG +COMMINGLING(2) K OW0 M IH1 NG G L IH0 NG +COMMINS K AA1 M IH0 N Z +COMMISERATE K AH0 M IH1 S ER0 EY2 T +COMMISERATES K AH0 M IH1 S ER0 EY2 T S +COMMISERATING K AH0 M IH1 S ER0 EY2 T IH0 NG +COMMISH K AH0 M IH1 SH +COMMISION K AH0 M IH1 Z AH0 N +COMMISION(2) K AH0 M IH1 SH AH0 N +COMMISSAR K AA1 M AH0 S AA2 R +COMMISSARIES K AA1 M AH0 S EH2 R IY0 Z +COMMISSARS K AA1 M IH0 S AA0 Z +COMMISSARY K AA1 M AH0 S EH2 R IY0 +COMMISSION K AH0 M IH1 SH AH0 N +COMMISSION'S K AH0 M IH1 SH AH0 N Z +COMMISSIONED K AH0 M IH1 SH AH0 N D +COMMISSIONER K AH0 M IH1 SH AH0 N ER0 +COMMISSIONER'S K AH0 M IH1 SH AH0 N ER0 Z +COMMISSIONERS K AH0 M IH1 SH AH0 N ER0 Z +COMMISSIONING K AH0 M IH1 SH AH0 N IH0 NG +COMMISSIONS K AH0 M IH1 SH AH0 N Z +COMMISSO K OW0 M IY1 S OW0 +COMMIT K AH0 M IH1 T +COMMITEE K AA0 M IH1 T IY0 +COMMITEE(2) K AH0 M IH1 T IY0 +COMMITMENT K AH0 M IH1 T M AH0 N T +COMMITMENTS K AH0 M IH1 T M AH0 N T S +COMMITS K AH0 M IH1 T S +COMMITTAL K AH0 M IH1 T AH0 L +COMMITTED K AH0 M IH1 T IH0 D +COMMITTEE K AH0 M IH1 T IY0 +COMMITTEE'S K AH0 M IH1 T IY0 Z +COMMITTEEMAN K AH0 M IH1 T IY0 M AH0 N +COMMITTEES K AH0 M IH1 T IY0 Z +COMMITTEES' K AH0 M IH1 T IY0 Z +COMMITTING K AH0 M IH1 T IH0 NG +COMMODE K AH0 M OW1 D +COMMODIOUS K AH0 M OW1 D IY0 AH0 S +COMMODITIES K AH0 M AA1 D AH0 T IY0 Z +COMMODITY K AH0 M AA1 D AH0 T IY0 +COMMODITY'S K AH0 M AA1 D AH0 T IY0 Z +COMMODORE K AA1 M AH0 D AO2 R +COMMODORE'S K AA1 M AH0 D AO2 R Z +COMMON K AA1 M AH0 N +COMMONALITIES K AA2 M AH0 N AE1 L AH0 T IY0 Z +COMMONALITY K AA2 M AH0 N AE1 L AH0 T IY0 +COMMONER K AA1 M AH0 N ER0 +COMMONERS K AA1 M AH0 N ER0 Z +COMMONLY K AA1 M AH0 N L IY0 +COMMONPLACE K AA1 M AH0 N P L EY2 S +COMMONS K AA1 M AH0 N Z +COMMONSENSE K AA2 M AH0 N S EH1 N S +COMMONSENSICAL K AA2 M AH0 N S EH1 N S IH0 K AH0 L +COMMONWEALTH K AA1 M AH0 N W EH2 L TH +COMMONWEALTH'S K AA1 M AH0 N W EH2 L TH S +COMMOTION K AH0 M OW1 SH AH0 N +COMMUNAL K AH0 M Y UW1 N AH0 L +COMMUNE K AA1 M Y UW0 N +COMMUNE(2) K AH0 M Y UW1 N +COMMUNES K AA1 M Y UW0 N Z +COMMUNES(2) K AH0 M Y UW1 N Z +COMMUNICABLE K AH0 M Y UW1 N AH0 K AH0 B AH0 L +COMMUNICATE K AH0 M Y UW1 N AH0 K EY2 T +COMMUNICATED K AH0 M Y UW1 N AH0 K EY2 T IH0 D +COMMUNICATES K AH0 M Y UW1 N IH0 K EY2 T S +COMMUNICATING K AH0 M Y UW1 N AH0 K EY2 T IH0 NG +COMMUNICATION K AH0 M Y UW2 N AH0 K EY1 SH AH0 N +COMMUNICATION'S K AH0 M Y UW2 N IH0 K EY1 SH AH0 N Z +COMMUNICATIONS K AH0 M Y UW2 N AH0 K EY1 SH AH0 N Z +COMMUNICATIONS' K AH0 M Y UW2 N AH0 K EY1 SH AH0 N Z +COMMUNICATIVE K AH0 M Y UW1 N AH0 K AH0 T IH0 V +COMMUNICATOR K AH0 M Y UW1 N AH0 K EY2 T ER0 +COMMUNICATORS K AH0 M Y UW1 N AH0 K EY0 T ER0 Z +COMMUNING K AH0 M Y UW1 N IH0 NG +COMMUNION K AH0 M Y UW1 N Y AH0 N +COMMUNIQUE K AH0 M Y UW1 N AH0 K EY2 +COMMUNIQUE(2) K AH0 M Y UW2 N AH0 K EY1 +COMMUNIQUES K AH0 M Y UW2 N IH0 K EY1 Z +COMMUNISM K AA1 M Y AH0 N IH2 Z AH0 M +COMMUNISM'S K AA1 M Y AH0 N IH2 Z AH0 M Z +COMMUNIST K AA1 M Y AH0 N AH0 S T +COMMUNIST'S K AA1 M Y AH0 N AH0 S T S +COMMUNISTS K AA1 M Y AH0 N AH0 S T S +COMMUNISTS' K AA1 M Y UW0 N IH0 S T S +COMMUNITIES K AH0 M Y UW1 N AH0 T IY0 Z +COMMUNITIES(2) K AH0 M Y UW1 N IH0 T IY0 Z +COMMUNITY K AH0 M Y UW1 N AH0 T IY0 +COMMUNITY(2) K AH0 M Y UW1 N IH0 T IY0 +COMMUNITY'S K AH0 M Y UW1 N IH0 T IY0 Z +COMMUNITYWIDE K AH0 M Y UW1 N IH0 T IY0 W AY2 D +COMMUNIZATION K AA2 M Y AH0 N AH0 Z EY1 SH AH0 N +COMMUNIZE K AA1 M Y AH0 N AY2 Z +COMMUTATE K AA2 M Y AH0 T EY1 T +COMMUTATION K AA2 M Y AH0 T EY1 SH AH0 N +COMMUTE K AH0 M Y UW1 T +COMMUTED K AH0 M Y UW1 T IH0 D +COMMUTER K AH0 M Y UW1 T ER0 +COMMUTERS K AH0 M Y UW1 T ER0 Z +COMMUTES K AH0 M Y UW1 T S +COMMUTING K AH0 M Y UW1 T IH0 NG +COMO K OW1 M OW0 +COMOROS K AO0 M AO1 R OW2 S +COMP K AA1 M P +COMPACT K AA1 M P AE0 K T +COMPACT(2) K AH0 M P AE1 K T +COMPACTED K AH0 M P AE1 K T IH0 D +COMPACTNESS K AH0 M P AE1 K T N AH0 S +COMPACTOR K AH0 M P AE1 K T ER0 +COMPACTS K AH0 M P AE1 K T S +COMPACTS(2) K AA1 M P AE0 K T S +COMPAGNIE K AH1 M P AH0 N IY0 +COMPANERO K AA2 M P AH0 N Y EH1 R OW2 +COMPANHIA K AH0 M P AE1 N HH IY0 AA2 +COMPANIA K AH0 M P EY1 N IY2 AA0 +COMPANIES K AH1 M P AH0 N IY2 Z +COMPANIES' K AH1 M P AH0 N IY2 Z +COMPANIES'S K AH1 M P AH0 N IY0 Z IH0 Z +COMPANION K AH0 M P AE1 N Y AH0 N +COMPANIONS K AH0 M P AE1 N Y AH0 N Z +COMPANIONSHIP K AH0 M P AE1 N Y AH0 N SH IH2 P +COMPANIONWAY K AH0 M P AE1 N Y AH0 N W EY2 +COMPANY K AH1 M P AH0 N IY2 +COMPANY'LL K AH1 M P AH0 N IY0 AH0 L +COMPANY'S K AH1 M P AH0 N IY0 Z +COMPANYWIDE K AH1 M P AH0 N IY0 W AY2 D +COMPAORE K AA2 M P AH0 AO1 R IY0 +COMPAQ K AA1 M P AE2 K +COMPAQ'S K AA1 M P AE2 K S +COMPARABILITY K AA2 M P ER0 AH0 B IH1 L IH0 T IY2 +COMPARABLE K AA1 M P ER0 AH0 B AH0 L +COMPARABLE(2) K AH0 M P EH1 R AH0 B AH0 L +COMPARABLE(3) K AH0 M P R AH0 B AH0 L +COMPARABLY K AA1 M P ER0 AH0 B L IY0 +COMPARABLY(2) K AA1 M P R AH0 B L IY0 +COMPARATIVE K AH0 M P EH1 R AH0 T IH0 V +COMPARATIVELY K AH0 M P EH1 R AH0 T IH0 V L IY0 +COMPARATOR K AH0 M P ER1 AH0 T ER0 +COMPARE K AH0 M P EH1 R +COMPARED K AH0 M P EH1 R D +COMPARES K AH0 M P EH1 R Z +COMPARING K AH0 M P EH1 R IH0 NG +COMPARISON K AH0 M P EH1 R AH0 S AH0 N +COMPARISONS K AH0 M P EH1 R AH0 S AH0 N Z +COMPARTMENT K AH0 M P AA1 R T M AH0 N T +COMPARTMENTAL K AH0 M P AA2 R T M EH1 N T AH0 L +COMPARTMENTALIZE K AH0 M P AA2 R T M EH1 N T AH0 L AY2 Z +COMPARTMENTALIZED K AA2 M P AA0 R T M EH1 N T AH0 L AY0 Z D +COMPARTMENTS K AH0 M P AA1 R T M AH0 N T S +COMPAS K AA1 M P AH0 S +COMPASS K AH1 M P AH0 S +COMPASSION K AH0 M P AE1 SH AH0 N +COMPASSIONATE K AH0 M P AE1 SH AH0 N AH0 T +COMPASSIONATELY K AH0 M P AE1 SH AH0 N AH0 T L IY2 +COMPATIBILITY K AH0 M P AE2 T AH0 B IH1 L AH0 T IY2 +COMPATIBLE K AH0 M P AE1 T AH0 B AH0 L +COMPATIBLES K AH0 M P AE1 T IH0 B AH0 L Z +COMPATRIOT K AH0 M P EY1 T R IY0 AH0 T +COMPATRIOTS K AH0 M P EY1 T R IY0 AH0 T S +COMPEAN K AA1 M P AH0 N +COMPEAU K AH0 M P OW1 +COMPEL K AH0 M P EH1 L +COMPELLED K AH0 M P EH1 L D +COMPELLING K AH0 M P EH1 L IH0 NG +COMPELLINGLY K AH0 M P EH1 L IH0 NG L IY0 +COMPELS K AH0 M P EH1 L Z +COMPENDIUM K AH0 M P EH1 N D IY0 AH0 M +COMPENSABLE K AH0 M P EH1 N S AH0 B AH0 L +COMPENSATE K AA1 M P AH0 N S EY2 T +COMPENSATED K AA1 M P AH0 N S EY2 T AH0 D +COMPENSATES K AA1 M P AH0 N S EY2 T S +COMPENSATING K AA1 M P AH0 N S EY2 T IH0 NG +COMPENSATION K AA2 M P AH0 N S EY1 SH AH0 N +COMPENSATIONS K AA2 M P AH0 N S EY1 SH AH0 N Z +COMPENSATORY K AH0 M P EH1 N S AH0 T AO2 R IY0 +COMPETE K AH0 M P IY1 T +COMPETED K AH0 M P IY1 T IH0 D +COMPETENCE K AA1 M P AH0 T IH0 N S +COMPETENCIES K AA1 M P AH0 T IH0 N S IY0 Z +COMPETENCY K AA1 M P AH0 T IH0 N S IY0 +COMPETENT K AA1 M P AH0 T IH0 N T +COMPETENTLY K AA1 M P AH0 T IH0 N T L IY0 +COMPETES K AH0 M P IY1 T S +COMPETING K AH0 M P IY1 T IH0 NG +COMPETITION K AA2 M P AH0 T IH1 SH AH0 N +COMPETITION'S K AA2 M P AH0 T IH1 SH AH0 N Z +COMPETITIONS K AA2 M P AH0 T IH1 SH AH0 N Z +COMPETITIVE K AH0 M P EH1 T AH0 T IH0 V +COMPETITIVE(2) K AH0 M P EH1 T IH0 T IH0 V +COMPETITIVELY K AH0 M P EH1 T IH0 T IH0 V L IY0 +COMPETITIVENESS K AH0 M P EH1 T IH0 T IH0 V N IH0 S +COMPETITOR K AH0 M P EH1 T AH0 T ER0 +COMPETITOR(2) K AH0 M P EH1 T IH0 T ER0 +COMPETITOR'S K AH0 M P EH1 T AH0 T ER0 Z +COMPETITORS K AH0 M P EH1 T AH0 T ER0 Z +COMPETITORS(2) K AH0 M P EH1 T IH0 T ER0 Z +COMPETITORS' K AH0 M P EH1 T IH0 T ER0 Z +COMPHER K AA1 M F ER0 +COMPILATION K AA2 M P AH0 L EY1 SH AH0 N +COMPILATIONS K AA2 M P AH0 L EY1 SH AH0 N Z +COMPILE K AH0 M P AY1 L +COMPILED K AH0 M P AY1 L D +COMPILER K AH0 M P AY1 L ER0 +COMPILERS K AH0 M P AY1 L ER0 Z +COMPILES K AH0 M P AY1 L Z +COMPILING K AH0 M P AY1 L IH0 NG +COMPLACENCY K AH0 M P L EY1 S AH0 N S IY0 +COMPLACENT K AH0 M P L EY1 S AH0 N T +COMPLACENTLY K AH0 M P L EY1 S AH0 N T L IY0 +COMPLAIN K AH0 M P L EY1 N +COMPLAINANT K AH0 M P L EY1 N AH0 N T +COMPLAINANT'S K AH0 M P L EY1 N AH0 N T S +COMPLAINANTS K AH0 M P L EY1 N AH0 N T S +COMPLAINED K AH0 M P L EY1 N D +COMPLAINER K AH0 M P L EY1 N ER0 +COMPLAINERS K AA1 M P L EY2 N ER0 Z +COMPLAINING K AH0 M P L EY1 N IH0 NG +COMPLAINS K AH0 M P L EY1 N Z +COMPLAINT K AH0 M P L EY1 N T +COMPLAINTS K AH0 M P L EY1 N T S +COMPLAISANT K AH0 M P L EY1 S AH0 N T +COMPLECTION K AH0 M P L EH1 K SH AH0 N +COMPLECTIONS K AH0 M P L EH1 K SH AH0 N Z +COMPLEMENT K AA1 M P L AH0 M AH0 N T +COMPLEMENTARY K AA2 M P L AH0 M EH1 N T R IY0 +COMPLEMENTARY(2) K AA2 M P L AH0 M EH1 N CH IY0 +COMPLEMENTED K AA1 M P L AH0 M EH2 N T IH0 D +COMPLEMENTING K AA1 M P L AH0 M EH2 N T IH0 NG +COMPLEMENTS K AA1 M P L AH0 M AH0 N T S +COMPLETE K AH0 M P L IY1 T +COMPLETED K AH0 M P L IY1 T AH0 D +COMPLETED(2) K AH0 M P L IY1 T IH0 D +COMPLETELY K AH0 M P L IY1 T L IY0 +COMPLETENESS K AH0 M P L IY1 T N AH0 S +COMPLETES K AH0 M P L IY1 T S +COMPLETING K AH0 M P L IY1 T IH0 NG +COMPLETION K AH0 M P L IY1 SH AH0 N +COMPLETIONS K AH0 M P L IY1 SH AH0 N Z +COMPLEX K AA1 M P L EH0 K S +COMPLEX(2) K AH0 M P L EH1 K S +COMPLEXES K AA1 M P L EH0 K S AH0 Z +COMPLEXION K AH0 M P L EH1 K SH AH0 N +COMPLEXIONS K AH0 M P L EH1 K SH AH0 N Z +COMPLEXITIES K AH0 M P L EH1 K S IH0 T IY0 Z +COMPLEXITY K AH0 M P L EH1 K S AH0 T IY0 +COMPLEXITY(2) K AH0 M P L EH1 K S IH0 T IY0 +COMPLIANCE K AH0 M P L AY1 AH0 N S +COMPLIANT K AH0 M P L AY1 AH0 N T +COMPLICATE K AA1 M P L AH0 K EY2 T +COMPLICATED K AA1 M P L AH0 K EY2 T AH0 D +COMPLICATES K AA1 M P L IH0 K EY2 T S +COMPLICATING K AA1 M P L AH0 K EY2 T IH0 NG +COMPLICATION K AA2 M P L AH0 K EY1 SH AH0 N +COMPLICATIONS K AA2 M P L AH0 K EY1 SH AH0 N Z +COMPLICIT K AH0 M P L IH1 S AH0 T +COMPLICITIES K AH0 M P L IH1 S IH0 T IY0 Z +COMPLICITY K AH0 M P L IH1 S AH0 T IY0 +COMPLICITY(2) K AH0 M P L IH1 S IH0 T IY0 +COMPLIED K AH0 M P L AY1 D +COMPLIES K AH0 M P L AY1 Z +COMPLIMENT K AA1 M P L AH0 M EH0 N T +COMPLIMENTARY K AA2 M P L AH0 M EH1 N T ER0 IY0 +COMPLIMENTED K AA1 M P L AH0 M EH2 N T IH0 D +COMPLIMENTING K AA1 M P L AH0 M EH2 N T IH0 NG +COMPLIMENTS K AA1 M P L AH0 M EH0 N T S +COMPLY K AH0 M P L AY1 +COMPLYING K AH0 M P L AY1 IH0 NG +COMPO K AA1 M P OW2 +COMPONENT K AH0 M P OW1 N AH0 N T +COMPONENTS K AH0 M P OW1 N AH0 N T S +COMPORT K AH0 M P AO1 R T +COMPORTED K AH0 M P AO1 R T AH0 D +COMPORTMENT K AH0 M P AO1 R T M AH0 N T +COMPOSE K AH0 M P OW1 Z +COMPOSED K AH0 M P OW1 Z D +COMPOSER K AH0 M P OW1 Z ER0 +COMPOSER'S K AH0 M P OW1 Z ER0 Z +COMPOSERS K AH0 M P OW1 Z ER0 Z +COMPOSES K AH0 M P OW1 Z IH0 Z +COMPOSING K AH0 M P OW1 Z IH0 NG +COMPOSITE K AH0 M P AA1 Z AH0 T +COMPOSITE(2) K AA0 M P AA1 Z AH0 T +COMPOSITE'S K AH0 M P AA1 Z AH0 T S +COMPOSITE'S(2) K AA0 M P AA1 Z AH0 T S +COMPOSITES K AH0 M P AA1 Z AH0 T S +COMPOSITES(2) K AA0 M P AA1 Z AH0 T S +COMPOSITION K AA2 M P AH0 Z IH1 SH AH0 N +COMPOSITIONAL K AA2 M P AH0 Z IH1 SH AH0 N AH0 L +COMPOSITIONS K AA2 M P AH0 Z IH1 SH AH0 N Z +COMPOST K AA1 M P OW0 S T +COMPOSTELA K AO2 M P AO0 S T EH1 L AH0 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M P R EH1 S IH0 Z +COMPRESSING K AH0 M P R EH1 S IH0 NG +COMPRESSION K AH0 M P R EH1 SH AH0 N +COMPRESSOR K AH0 M P R EH1 S ER0 +COMPRESSORS K AH0 M P R EH1 S ER0 Z +COMPRINT K AA1 M P R IH2 N T +COMPRISE K AH0 M P R AY1 Z +COMPRISED K AH0 M P R AY1 Z D +COMPRISES K AH0 M P R AY1 Z AH0 Z +COMPRISES(2) K AH0 M P R AY1 Z IH0 Z +COMPRISING K AH0 M P R AY1 Z IH0 NG +COMPROMISE K AA1 M P R AH0 M AY2 Z +COMPROMISED K AA1 M P R AH0 M AY2 Z D +COMPROMISER K AA1 M P R AH0 M AY2 Z ER0 +COMPROMISES K AA1 M P R AH0 M AY2 Z IH0 Z +COMPROMISING K AA1 M P R AH0 M AY2 Z IH0 NG +COMPSTON K AA1 M P S T AH0 N +COMPTEK K AA1 M P T EH2 K +COMPTON K AA1 M P T AH0 N +COMPTON'S K AA1 M P T AH0 N Z +COMPTROLLER K AH0 M T R OW1 L ER0 +COMPTROLLER(2) K AA1 M T R OW2 L ER0 +COMPTROLLER'S K AH0 M T R OW1 L ER0 Z +COMPTROLLER'S(2) K AA1 M T R OW2 L ER0 Z +COMPTRONIX K AA2 M P T R AA1 N IH2 K S +COMPU K AA1 M P Y UW0 +COMPUADD K AA1 M P Y UW0 AE2 D +COMPUCHEM K AA1 M P Y UW0 K EH2 M +COMPUDYNE K AA1 M P Y UW0 D AY2 N +COMPUFUND K AA1 M P Y UW0 F AH2 N D +COMPUGRAPHIC K AA2 M P Y UW0 G R AE1 F IH0 K +COMPULSION K AH0 M P AH1 L SH AH0 N +COMPULSIONS K AH0 M P UH1 L SH AH0 N Z +COMPULSIVE K AH0 M P AH1 L S IH0 V +COMPULSIVELY K AH0 M P AH1 L S IH0 V L IY0 +COMPULSORY K AH0 M P AH1 L S ER0 IY0 +COMPUMAT K AA1 M P Y UW0 M AE2 T +COMPUNCTION K AH0 M P AH1 NG K SH AH0 N +COMPUS K AA1 M P Y UW0 Z +COMPUSA K AA1 M P Y UW1 EH1 S EY1 +COMPUSA'S K AA1 M P Y UW1 EH1 S EY1 Z +COMPUSERVE K AA1 M P Y UW0 S ER0 V +COMPUSERVE'S K AA1 M P Y UW0 S ER0 V Z +COMPUTALOG K AA1 M P Y UW0 T AE2 L AO0 G +COMPUTATION K AA2 M P Y AH0 T EY1 SH AH0 N +COMPUTATIONAL K AA2 M P Y UW0 T EY1 SH AH0 N AH0 L +COMPUTATIONS K AA2 M P Y UW0 T EY1 SH AH0 N Z +COMPUTE K AH0 M P Y UW1 T +COMPUTED K AH0 M P Y UW1 T AH0 D +COMPUTED(2) K AH0 M P Y UW1 T IH0 D +COMPUTER K AH0 M P Y UW1 T ER0 +COMPUTER'S K AH0 M P Y UW1 T ER0 Z +COMPUTER-GENERATED K AH0 M P Y UW1 T ER0 JH EH1 N ER0 EY2 T AH0 D +COMPUTERCRAFT K AH0 M P Y UW1 T ER0 K R AE2 F T 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+CONGRESS K AA1 NG G R AH0 S +CONGRESS' K AA1 N G R AH0 S IH0 Z +CONGRESS'(2) K AA1 NG G R AH0 S +CONGRESS'S K AA1 NG G R AH0 S IH0 Z +CONGRESSES K AA1 NG G R AH0 S IH0 Z +CONGRESSIONAL K AH0 N G R EH1 SH AH0 N AH0 L +CONGRESSIONALLY K AH0 N G R EH1 SH AH0 N AH0 L IY0 +CONGRESSIONALLY(2) K AH0 N G R EH1 SH N AH0 L IY0 +CONGRESSMAN K AA1 NG G R AH0 S M AH0 N +CONGRESSMAN'S K AA1 NG G R AH0 S M AH0 N Z +CONGRESSMEN K AA1 NG G R AH0 S M IH0 N +CONGRESSPEOPLE K AA1 NG G R AH0 S P IY2 P AH0 L +CONGRESSPERSON K AA1 NG G R AH0 S P ER2 S AH0 N +CONGRESSPERSONS K AA1 NG G R AH0 S P ER2 S AH0 N Z +CONGRESSWOMAN K AA1 NG G R AH0 S W UH2 M AH0 N +CONGRESSWOMAN'S K AA1 NG G R AH0 S W UH2 M AH0 N Z +CONGRESSWOMEN K AA1 NG G R AH0 S W IH2 M IH0 N +CONGROVE K AA1 NG G R AH0 V +CONGRUENCE K AO1 N G R UW0 AH0 N S +CONGRUENT K AO1 N G R UW0 EH2 N T +CONGRUITY K AH0 N G R UW1 AH0 T IY0 +CONIC K AA1 N IH0 K +CONIC(2) K OW1 N IH0 K +CONICAL K AA1 N IH0 K AH0 L +CONICAL(2) K OW1 N IH0 K AH0 L +CONICS K AA1 N IH0 K S +CONICS(2) K OW1 N IH0 K S +CONIFER K AA1 N AH0 F ER0 +CONIFER'S K AA1 N AH0 F ER0 Z +CONIFEROUS K AH0 N IH1 F ER0 AH0 S +CONIFERS K AA1 N AH0 F ER0 Z +CONIGLIARO K AH0 N IH2 G L IY0 AA1 R OW0 +CONIGLIO K AH0 N IH1 G L IY0 OW0 +CONISTON K AA1 N AH0 S T AH0 N +CONJECTURE K AH0 N JH EH1 K CH ER0 +CONJECTURE(2) K AH0 N JH EH1 K SH ER0 +CONJECTURES K AH0 N JH EH1 K CH ER0 Z +CONJECTURES(2) K AH0 N JH EH1 K SH ER0 Z +CONJOIN K AA2 N JH OY1 N +CONJOINED K AA2 N JH OY1 N D +CONJUGAL K AA1 N JH AH0 G AH0 L +CONJUGATE K AA2 N JH AH0 G EY1 T +CONJUGATE(2) K AA1 N JH AH0 G EY2 T +CONJUGATED K AA2 N JH AH0 G EY1 T IH0 D +CONJUGATED(2) K AA1 N JH AH0 G EY2 T IH0 D +CONJUGATES K AA2 N JH AH0 G EY1 T S +CONJUGATES(2) K AA1 N JH AH0 G EY2 T S +CONJUGATION K AA2 N JH AH0 G EY1 SH AH0 N +CONJUGATIONS K AA2 N JH AH0 G EY1 SH AH0 N Z +CONJUL K AA1 N JH AH0 L +CONJUNCTION K AH0 N JH AH1 NG K SH AH0 N +CONJUNCTIONS K AH0 N JH AH1 NG K SH AH0 N Z +CONJUNCTIVA K AA2 N JH AH0 NG K T AY1 V AH0 +CONJURE 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K AA1 N +CONN.(2) K AH0 N EH1 T AH0 K AH0 T +CONNALLY K AA1 N AH0 L IY0 +CONNALLY'S K AA1 N AH0 L IY0 Z +CONNAN K AA1 N AH0 N +CONNAUGHT K AA1 N AO0 T +CONNAUGHT'S K AA1 N AO0 T S +CONNAUGHTON K AA1 N AO0 T AA0 N +CONNAWAY K AA1 N AH0 W EY2 +CONNECT K AH0 N EH1 K T +CONNECTED K AH0 N EH1 K T IH0 D +CONNECTER K AH0 N EH1 K T ER0 +CONNECTICUT K AH0 N EH1 T AH0 K AH0 T +CONNECTICUT'S K AH0 N EH1 T AH0 K AH0 T S +CONNECTING K AH0 N EH1 K T IH0 NG +CONNECTION K AH0 N EH1 K SH AH0 N +CONNECTIONS K AH0 N EH1 K SH AH0 N Z +CONNECTIVE K AH0 N EH1 K T IH0 V +CONNECTIVITY K AH0 N EH0 K T IH1 V IH0 T IY0 +CONNECTOR K AH0 N EH1 K T ER0 +CONNECTORS K AH0 N EH1 K T ER0 Z +CONNECTS K AH0 N EH1 K T S +CONNED K AA1 N D +CONNEELY K AH0 N IY1 L IY0 +CONNELL K AA1 N AH0 L +CONNELLEY K AA1 N IH0 L IY0 +CONNELLY K AA1 N AH0 L IY0 +CONNELLY'S K AA1 N AH0 L IY0 Z +CONNELY K AA1 N L IY0 +CONNER K AA1 N ER0 +CONNER'S K AA1 N ER0 Z +CONNERLY K AA1 N ER0 L IY0 +CONNERS K AA1 N ER0 Z +CONNERY K AA1 N ER0 IY0 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AH0 N S T R AH1 K T IH0 V L IY0 +CONSTRUCTOR K AH0 N S T R AH1 K T ER0 +CONSTRUCTORS K AH0 N S T R AH1 K T ER0 Z +CONSTRUCTS K AH0 N S T R AH1 K T S +CONSTRUCTS(2) K AA1 N S T R AH0 K T S +CONSTRUE K AH0 N S T R UW1 +CONSTRUED K AH0 N S T R UW1 D +CONSUELA K AH0 N S W EY1 L AH0 +CONSUL K AA1 N S AH0 L +CONSULAR K AA1 N S AH0 L ER0 +CONSULATE K AA1 N S AH0 L AH0 T +CONSULATES K AA1 N S AH0 L AH0 T S +CONSULS K AA1 N S AH0 L Z +CONSULSHIP K AA1 N S AH0 L SH IH2 P +CONSULT K AH0 N S AH1 L T +CONSULTANCY K AH0 N S AH1 L T AH0 N S IY0 +CONSULTANT K AH0 N S AH1 L T AH0 N T +CONSULTANT'S K AH0 N S AH1 L T AH0 N T S +CONSULTANTS K AH0 N S AH1 L T AH0 N T S +CONSULTANTS' K AH0 N S AH1 L T AH2 N T S +CONSULTATION K AA2 N S AH0 L T EY1 SH AH0 N +CONSULTATIONS K AA2 N S AH0 L T EY1 SH AH0 N Z +CONSULTATIVE K AH0 N S AH1 L T AH0 T IH0 V +CONSULTED K AH0 N S AH1 L T AH0 D +CONSULTED(2) K AH0 N S AH1 L T IH0 D +CONSULTING K AH0 N S AH1 L T IH0 NG +CONSULTS K AH0 N S AH1 L T S +CONSUMABLE K AH0 N S UW1 M AH0 B AH0 L +CONSUME K AH0 N S UW1 M +CONSUMED K AH0 N S UW1 M D +CONSUMER K AH0 N S UW1 M ER0 +CONSUMER'S K AH0 N S UW1 M ER0 Z +CONSUMERISM K AH0 N S UW1 M ER0 IH2 Z AH0 M +CONSUMERIST K AH0 N S UW1 M ER0 IH0 S T +CONSUMERISTS K AH0 N S UW1 M ER0 IH0 S T S +CONSUMERS K AH0 N S UW1 M ER0 Z +CONSUMERS' K AH0 N S UW1 M ER0 Z +CONSUMES K AH0 N S UW1 M Z +CONSUMING K AH0 N S UW1 M IH0 NG +CONSUMMATE K AA1 N S AH0 M AH0 T +CONSUMMATE(2) K AA1 N S AH0 M EY2 T +CONSUMMATED K AA1 N S AH0 M EY2 T AH0 D +CONSUMMATES K AA1 N S AH0 M EY2 T S +CONSUMMATING K AA1 N S AH0 M EY2 T IH0 NG +CONSUMMATION K AA2 N S AH0 M EY1 SH AH0 N +CONSUMPTION K AH0 N S AH1 M P SH AH0 N +CONSUMPTION(2) K AH0 N S AH1 M SH AH0 N +CONTAC K AA1 N T AE0 K +CONTACT K AA1 N T AE2 K T +CONTACTED K AA1 N T AE2 K T IH0 D +CONTACTING K AA1 N T AE2 K T IH0 NG +CONTACTLESS K AA1 N T AE0 K T L EH2 S +CONTACTS K AA1 N T AE2 K T S +CONTACTS(2) K AA1 N T AE2 K S +CONTADORA K AA2 N T AH0 D AO1 R AH0 +CONTAGION K AH0 N T EY1 JH AH0 N +CONTAGIOUS K AH0 N T EY1 JH AH0 S +CONTAGIOUSNESS K AH0 N T EY1 JH AH0 S N AH0 S +CONTAIN K AH0 N T EY1 N +CONTAINED K AH0 N T EY1 N D +CONTAINER K AH0 N T EY1 N ER0 +CONTAINER'S K AH0 N T EY1 N ER0 Z +CONTAINERBOARD K AH0 N T EY1 N ER0 B AO2 R D +CONTAINERIZE K AH0 N T EY1 N ER0 AY2 Z +CONTAINERIZED K AH0 N T EY1 N ER0 AY2 Z D +CONTAINERS K AH0 N T EY1 N ER0 Z +CONTAINERS' K AH0 N T EY1 N ER0 Z +CONTAINING K AH0 N T EY1 N IH0 NG +CONTAINMENT K AH0 N T EY1 N M AH0 N T +CONTAINS K AH0 N T EY1 N Z +CONTAMINANT K AH0 N T AE1 M AH0 N AH0 N T +CONTAMINANTS K AH0 N T AE1 M AH0 N AH0 N T S +CONTAMINATE K AH0 N T AE1 M AH0 N EY2 T +CONTAMINATED K AH0 N T AE1 M AH0 N EY2 T IH0 D +CONTAMINATES K AH0 N T AE1 M AH0 N EY2 T S +CONTAMINATING K AH0 N T AE1 M AH0 N EY2 T IH0 NG +CONTAMINATION K AH0 N T AE2 M AH0 N EY1 SH AH0 N +CONTANT K AA1 N T AH0 N T +CONTE K AO1 N T +CONTE(2) K AO1 N T EY0 +CONTEL K AA1 N T EH2 L +CONTEMN K AH2 N T EH1 M +CONTEMPLATE K AA1 N T AH0 M P L EY2 T +CONTEMPLATED K AA1 N T AH0 M P L EY2 T IH0 D +CONTEMPLATES K AA1 N T AH0 M P L EY2 T S +CONTEMPLATING K AA1 N T AH0 M P L EY2 T IH0 NG +CONTEMPLATION K AA2 N T AH0 M P L EY1 SH AH0 N +CONTEMPLATIVE K AH0 N T EH1 M P L AH0 T IH0 V +CONTEMPO K AA2 N T EH1 M P OW0 +CONTEMPORANEOUS K AH0 N T EH2 M P ER0 EY1 N IY0 AH0 S +CONTEMPORANEOUSLY K AH0 N T EH2 M P ER0 EY1 N IY0 AH0 S L IY0 +CONTEMPORARIES K AH0 N T EH1 M P ER0 EH2 R IY0 Z +CONTEMPORARY K AH0 N T EH1 M P ER0 EH2 R IY0 +CONTEMPT K AH0 N T EH1 M P T +CONTEMPTIBLE K AH0 N T EH1 M P T AH0 B AH0 L +CONTEMPTUOUS K AH0 N T EH1 M P CH UW0 AH0 S +CONTEMPTUOUSLY K AH0 N T EH1 M P CH W AH0 S L IY0 +CONTEND K AH0 N T EH1 N D +CONTENDED K AH0 N T EH1 N D IH0 D +CONTENDER K AH0 N T EH1 N D ER0 +CONTENDERS K AH0 N T EH1 N D ER0 Z +CONTENDING K AH0 N T EH1 N D IH0 NG +CONTENDS K AH0 N T EH1 N D Z +CONTENDS(2) K AH0 N T EH1 N Z +CONTENT K AA1 N T EH0 N T +CONTENT(2) K AH0 N T EH1 N T +CONTENTED K AH0 N T EH1 N T AH0 D +CONTENTED(2) K AH0 N T EH1 N T IH0 D 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IH1 N Y UW0 +CONTINUED K AH0 N T IH1 N Y UW0 D +CONTINUES K AH0 N T IH1 N Y UW0 Z +CONTINUING K AH0 N T IH1 N Y UW0 IH0 NG +CONTINUITY K AA2 N T AH0 N UW1 AH0 T IY0 +CONTINUOUS K AH0 N T IH1 N Y UW0 AH0 S +CONTINUOUSLY K AH0 N T IH1 N Y UW0 AH0 S L IY0 +CONTINUUM K AH0 N T IH1 N Y UW0 AH0 M +CONTOIS K AH0 N T W AA1 +CONTORT K AH0 N T AO1 R T +CONTORTED K AH0 N T AO1 R T AH0 D +CONTORTION K AH0 N T AO1 R SH AH0 N +CONTORTIONIST K AH0 N T AO1 R SH AH0 N AH0 S T +CONTORTIONS K AH0 N T AO1 R SH AH0 N Z +CONTORTS K AH0 N T AO1 R T S +CONTOS K AA1 N T OW0 Z +CONTOUR K AA1 N T UH2 R +CONTOURED K AA1 N T UH2 R D +CONTOURS K AA1 N T UH2 R Z +CONTRA K AA1 N T R AH0 +CONTRABAND K AA1 N T R AH0 B AE2 N D +CONTRABASSOON K AA1 N T R AH0 B AE0 S UW1 N +CONTRACEPTION K AA2 N T R AH0 S EH1 P SH AH0 N +CONTRACEPTIVE K AA2 N T R AH0 S EH1 P T IH0 V +CONTRACEPTIVES K AA2 N T R AH0 S EH1 P T IH0 V Z +CONTRACT K AA1 N T R AE2 K T +CONTRACT(2) K AH0 N T R AE1 K T +CONTRACT'S K AA1 N T R AE2 K T S +CONTRACTED K AA1 N T R AE0 K T AH0 D +CONTRACTING K AA1 N T R AE0 K T IH0 NG +CONTRACTION K AH0 N T R AE1 K SH AH0 N +CONTRACTIONARY K AH0 N T R AE1 K SH AH0 N EH0 R IY0 +CONTRACTIONS K AH0 N T R AE1 K SH AH0 N Z +CONTRACTOR K AA1 N T R AE2 K T ER0 +CONTRACTOR'S K AA1 N T R AE2 K T ER0 Z +CONTRACTORS K AA1 N T R AE2 K T ER0 Z +CONTRACTORS' K AH0 N T R AE1 K T ER0 Z +CONTRACTS K AA1 N T R AE2 K T S +CONTRACTS(2) K AH0 N T R AE1 K T S +CONTRACTUAL K AH0 N T R AE1 K CH UW0 AH0 L +CONTRACTUALLY K AH0 N T R AE1 K CH UW0 AH0 L IY0 +CONTRADICT K AA2 N T R AH0 D IH1 K T +CONTRADICTED K AA2 N T R AH0 D IH1 K T AH0 D +CONTRADICTING K AA2 N T R AH0 D IH1 K T IH0 NG +CONTRADICTION K AA2 N T R AH0 D IH1 K SH AH0 N +CONTRADICTIONS K AA2 N T R AH0 D IH1 K SH AH0 N Z +CONTRADICTORILY K AA2 N T R AH0 D IH1 K T ER0 AH0 L IY0 +CONTRADICTORY K AA2 N T R AH0 D IH1 K T ER0 IY0 +CONTRADICTS K AA2 N T R AH0 D IH1 K T S +CONTRAN K AA1 N T R AE2 N +CONTRAPTION K AH0 N T R AE1 P SH AH0 N +CONTRAPTIONS K AH0 N T R AE1 P SH AH0 N Z +CONTRAPUNCTION K AH2 N T R AE0 P UH1 K CH AH0 N +CONTRAPUNCTUAL K AH2 N T R AE0 P UH1 K CH UW2 AH0 L +CONTRARIAN K AA2 N T R EH1 R IY0 AH0 N +CONTRARIANS K AH0 N T R EH1 R IY0 AH0 N Z +CONTRARINESS K AA1 N T R EH0 R IY0 N AH0 S +CONTRARY K AA1 N T R EH0 R IY0 +CONTRARY(2) K AH0 N T R EH1 R IY0 +CONTRAS K AA1 N T R AH0 Z +CONTRAS(2) K AO1 N T R AH0 Z +CONTRAS' K AA1 N T R AH0 Z +CONTRAST K AA1 N T R AE0 S T +CONTRAST(2) K AH0 N T R AE1 S T +CONTRASTED K AH0 N T R AE1 S T AH0 D +CONTRASTING K AH0 N T R AE1 S T IH0 NG +CONTRASTS K AA1 N T R AE0 S T S +CONTRASTS(2) K AH0 N T R AE1 S T S +CONTRASTS(3) K AA1 N T R AE0 S +CONTRASTS(4) K AH0 N T R AE1 S +CONTRAVENE K AA1 N T R AH0 V IY2 N +CONTRAVENTION K AA2 N T R AH0 V EH1 N CH AH0 N +CONTRERAS K AA0 N T R EH1 R AA0 Z +CONTRETEMPS K AA1 N T R AH0 T EH2 M P S +CONTRIBUTE K AH0 N T R IH1 B Y UW0 T +CONTRIBUTED K AH0 N T R IH1 B Y UW0 T IH0 D +CONTRIBUTES K AH0 N T R IH1 B Y UW0 T S +CONTRIBUTING K AH0 N T R IH1 B Y UW0 T IH0 NG 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IY0 +CONTURA K AA2 N T UH1 R AH0 +CONTUSION K AH0 N T UW1 ZH AH0 N +CONTUSIONS K AH0 N T UW1 ZH AH0 N Z +CONUNDRUM K AH0 N AH1 N D R AH0 M +CONUS K OW1 N AH0 S +CONVAIR K AA0 N V EH1 R +CONVALESCE K AA2 N V AH0 L EH1 S +CONVALESCENCE K AA2 N V AH0 L EH1 S AH0 N S +CONVALESCENT K AA2 N V AH0 L EH1 S AH0 N T +CONVECTION K AH0 N V EH1 K SH AH0 N +CONVECTIVE K AH0 N V EH1 K T IH0 V +CONVENE K AH0 N V IY1 N +CONVENED K AH0 N V IY1 N D +CONVENES K AH0 N V IY1 N Z +CONVENIENCE K AH0 N V IY1 N Y AH0 N S +CONVENIENCES K AH0 N V IY1 N Y AH0 N S IH0 Z +CONVENIENT K AH0 N V IY1 N Y AH0 N T +CONVENIENTLY K AH0 N V IY1 N Y AH0 N T L IY0 +CONVENING K AH0 N V IY1 N IH0 NG +CONVENT K AA1 N V AH0 N T +CONVENT(2) K AA1 N V EH2 N T +CONVENTION K AH0 N V EH1 N SH AH0 N +CONVENTION'S K AH0 N V EH1 N SH AH0 N Z +CONVENTIONAL K AH0 N V EH1 N SH AH0 N AH0 L +CONVENTIONALLY K AH0 N V EH1 N SH AH0 N AH0 L IY0 +CONVENTIONEER K AH0 N V EH2 N SH AH0 N IH1 R +CONVENTIONEERS K AH0 N V EH2 N SH AH0 N IH1 R Z 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AH0 N +CORDIAL K AO1 R JH AH0 L +CORDIALLY K AO1 R JH AH0 L IY0 +CORDIALS K AO1 R JH AH0 L Z +CORDIANT K AO1 R D IY0 AH0 N T +CORDIANT'S K AO1 R D IY0 AH0 N T S +CORDIE K AO1 R D IY0 +CORDIER K AO1 R D IY0 ER0 +CORDILL K AO1 R D AH0 L +CORDING K AO1 R D IH0 NG +CORDIS K AO1 R D IH0 S +CORDLE K AO1 R D AH0 L +CORDLESS K AO1 R D L AH0 S +CORDNER K AO1 R D N ER0 +CORDOBA K AO2 R D OW1 B AH0 +CORDOBA'S K AO2 R D OW1 B AH0 Z +CORDOBAS K AO2 R D OW1 B AH0 Z +CORDON K AO1 R D AH0 N +CORDONE K AO1 R D AH0 N +CORDONED K AO1 R D AH0 N D +CORDOVA K AO2 R D OW1 V AH0 +CORDOVER K AO1 R D OW2 V ER0 +CORDOVEZ K AO2 R D OW1 V EH0 Z +CORDRAY K AO1 R D R EY2 +CORDREY K AO1 R D R IY0 +CORDRY K AO1 R D ER0 IY0 +CORDS K AO1 R D Z +CORDTS K AO1 R D T S +CORDUROY K AO1 R D ER0 OY2 +CORDY K AO1 R D IY0 +CORE K AO1 R +COREA K AO0 R IY1 AH0 +COREL K AO2 R EH1 L +CORELL K AO2 R EH1 L +CORELLA K ER0 EH1 L AH0 +COREN K AO1 R AH0 N +CORES K AO1 R Z +CORESPONDENT K AO2 R AH0 S P AA1 N D AH0 N T +CORESTATE K AO1 R S 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K AO1 R P +CORP.(2) K AO1 R P ER0 EY1 SH AH0 N +CORP.'S K AO1 R P S +CORP.'S(2) K AO1 R P ER0 EY1 SH AH0 N Z +CORPENING K AO1 R P AH0 N IH0 NG +CORPORA K AO1 R P ER0 AH0 +CORPORACION K AO2 R P ER0 AA2 S IY0 OW1 N +CORPORAL K AO1 R P ER0 AH0 L +CORPORAL(2) K AO1 R P R AH0 L +CORPORATE K AO1 R P ER0 AH0 T +CORPORATE(2) K AO1 R P R AH0 T +CORPORATES K AO1 R P ER0 AH0 T S +CORPORATEWATCH K AO1 R P R AH0 T W AA2 CH +CORPORATEWIDE K AO1 R P ER0 IH0 T W AY2 D +CORPORATION K AO2 R P ER0 EY1 SH AH0 N +CORPORATION'S K AO2 R P ER0 EY1 SH AH0 N Z +CORPORATIONS K AO2 R P ER0 EY1 SH AH0 N Z +CORPORATIONS' K AO2 R P ER0 EY1 SH AH0 N Z +CORPORATISM K AO1 R P ER0 AH0 T IH2 Z AH0 M +CORPORATIST K AO1 R P ER0 AH0 T IH0 S T +CORPS K AO1 R +CORPS(2) K AO1 R Z +CORPS' K AO1 R Z +CORPSE K AO1 R P S +CORPSES K AO1 R P S AH0 Z +CORPSES(2) K AO1 R P S IH0 Z +CORPSMAN K AO1 R M AH0 N +CORPULANT K AO1 R P Y AH0 L AH0 N T +CORPUS K AO1 R P AH0 S +CORPUS-CHRISTI K AO1 R P AH0 S K R IH1 S T IY0 +CORPUZ K AO1 R P UW0 Z +CORR K AO1 R +CORRADI K ER0 AA1 D IY0 +CORRADINO K ER0 AA0 D IY1 N OW0 +CORRADO K ER0 AA1 D OW0 +CORRAL K ER0 AE1 L +CORRALES K ER0 AA1 L EH0 S +CORRALLED K ER0 AE1 L D +CORRALLING K ER0 AE1 L IH0 NG +CORRAO K AO1 R AW0 +CORREA K AO1 R IY0 AH0 +CORREALE K AO1 R IY0 AH0 L +CORRECT K ER0 EH1 K T +CORRECTED K ER0 EH1 K T AH0 D +CORRECTED(2) K ER0 EH1 K T IH0 D +CORRECTING K ER0 EH1 K T IH0 NG +CORRECTION K ER0 EH1 K SH AH0 N +CORRECTIONAL K ER0 EH1 K SH AH0 N AH0 L +CORRECTIONS K ER0 EH1 K SH AH0 N Z +CORRECTIVE K ER0 EH1 K T IH0 V +CORRECTLY K ER0 EH1 K T L IY0 +CORRECTNESS K ER0 EH1 K T N AH0 S +CORRECTS K ER0 EH1 K T S +CORREGIDOR K ER0 EH1 G AH0 D AO0 R +CORREIA K ER0 EY1 IY0 AH0 +CORREIRA K ER0 EH1 R AH0 +CORRELATE K AO1 R AH0 L EY2 T +CORRELATE(2) K AO1 R AH0 L AH0 T +CORRELATED K AO1 R AH0 L EY2 T AH0 D +CORRELATES K AO1 R AH0 L AH0 T S +CORRELATES(2) K AO1 R AH0 L EY0 T S +CORRELATING K AO1 R AH0 L EY0 T IH0 NG +CORRELATION K AO2 R AH0 L EY1 SH AH0 N +CORRELATIONS K AO2 R AH0 L EY1 SH AH0 N Z +CORRELL K ER0 EY1 L +CORRENE K AO1 R IY0 N +CORRENTE K ER0 EH1 N T IY0 +CORRENTI K ER0 EH1 N T IY0 +CORRESPOND K AO2 R AH0 S P AA1 N D +CORRESPONDED K AO2 R AH0 S P AA1 N D IH0 D +CORRESPONDENCE K AO2 R AH0 S P AA1 N D AH0 N S +CORRESPONDENT K AO2 R AH0 S P AA1 N D AH0 N T +CORRESPONDENTS K AO2 R AH0 S P AA1 N D AH0 N T S +CORRESPONDENTS' K AO2 R AH0 S P AA1 N D AH0 N T S +CORRESPONDING K AO2 R AH0 S P AA1 N D IH0 NG +CORRESPONDINGLY K AO2 R AH0 S P AA1 N D IH0 NG L IY0 +CORRESPONDS K AO2 R AH0 S P AA1 N D Z +CORRIB K AO1 R IH0 B +CORRICK K AO1 R IH0 K +CORRIDOR K AO1 R AH0 D ER0 +CORRIDOR(2) K AO1 R IH0 D ER0 +CORRIDORS K AO1 R IH0 D ER0 Z +CORRIDORS(2) K AO1 R AH0 D ER0 Z +CORRIE K AO1 R IY0 +CORRIERE K AO2 R Y EH1 R +CORRIGAN K AO1 R IH0 G AH0 N +CORRIGAN'S K AO1 R IH0 G AH0 N Z +CORRIGIBLE K AO1 R AH0 JH AH0 B AH0 L +CORRIHER K AO1 R IH0 HH ER0 +CORRIN K AO1 R IH0 N +CORRINA K ER0 IY1 N AH0 +CORRINGTON K AO1 R IH0 NG T AH0 N +CORRIVEAU K AO1 R IH0 V OW0 +CORROBORATE K ER0 AA1 B ER0 EY2 T +CORROBORATED K ER0 AA1 B ER0 EY2 T IH0 D +CORROBORATES K ER0 AO1 B ER0 EY2 T S +CORROBORATING K ER0 AA1 B ER0 EY2 T IH0 NG +CORROBORATION K ER0 AO2 B ER0 EY1 SH AH0 N +CORROBORATIVE K ER0 AA1 B ER0 AH0 T IH2 V +CORROBORATIVE(2) K ER0 AA1 B R AH0 T IH2 V +CORRODE K ER0 OW1 D +CORRODED K ER0 OW1 D IH0 D +CORRODES K ER0 OW1 D Z +CORRON K ER0 AO1 N +CORROON K AO0 R UW1 N +CORROSION K ER0 OW1 ZH AH0 N +CORROSIVE K ER0 OW1 S IH0 V +CORROW K AO1 R OW0 +CORRUGATE K AO1 R AH0 G EY2 T +CORRUGATED K AO1 R AH0 G EY2 T IH0 D +CORRUPT K ER0 AH1 P T +CORRUPTED K ER0 AH1 P T IH0 D +CORRUPTIBLE K ER0 AH1 P T IH0 B AH0 L +CORRUPTING K ER0 AH1 P T IH0 NG +CORRUPTION K ER0 AH1 P SH AH0 N +CORRUPTIONS K ER0 AH1 P SH AH0 N Z +CORRUPTIVE K ER0 AH1 P T IH0 V +CORRUPTLY K ER0 AH1 P T L IY0 +CORRUPTS K ER0 AH1 P T S +CORRY K AO1 R IY0 +CORSA K AO1 S AH0 +CORSAGE K AO0 R S AA1 ZH +CORSAIR K AO1 R S EH0 R +CORSARO K ER0 S AA1 R OW0 +CORSE K AO1 R S +CORSELLO K ER0 S EH1 L OW0 +CORSENTINO K ER0 S EH0 N T IY1 N OW0 +CORSER K AO1 R S ER0 +CORSET K AO1 R S AH0 T +CORSETTI K ER0 S EH1 T IY0 +CORSI K AO1 R S IY0 +CORSICA K AO1 R S IH0 K AH0 +CORSICAN K AO1 R S AH0 K AH0 N +CORSICAS K AO1 R S IH0 K AH0 Z +CORSIGLIA K ER0 S IY1 G L IY0 AH0 +CORSINI K ER0 S IY1 N IY0 +CORSO K AO1 R S OW0 +CORSON K AO1 R S AH0 N +CORT K AO1 R T +CORTE K AO1 R T +CORTEGE K AO0 R T EH1 ZH +CORTELAND K AO1 R T L AH0 N D +CORTELYOU K AO1 R T EH0 L Y UW2 +CORTEN K AO1 R T EH0 N +CORTENS K AO1 R T EH0 N Z +CORTENS' K AO1 R T EH0 N Z +CORTER K AO1 R T ER0 +CORTES K AO2 R T EH1 Z +CORTESE K ER0 T EY1 Z IY0 +CORTESI K ER0 T EH1 S IY0 +CORTEX K AO1 R T EH0 K S +CORTEZ K AO0 R T EH1 Z +CORTEZE K AO0 R T EH1 Z +CORTI K AO1 R T IY0 +CORTICAL K AO1 R T AH0 K AH0 L +CORTICOSTEROID K AO2 R T IH0 K OW0 S T EH1 R OY2 D +CORTICOSTEROIDS K AO2 R T IH0 K OW0 S T EH1 R OY2 D Z +CORTIN K AO1 R T IH0 N +CORTINA K ER0 T IY1 N AH0 +CORTINAS K AO1 R T IY0 N AH0 Z +CORTINE K AO0 R T IY1 N +CORTINES K AO0 R T IY1 N Z +CORTISOL K AO1 R T IH0 S AO2 L +CORTISONE K AO1 R T AH0 Z OW2 N +CORTLAND K AO1 R T L AH0 N D +CORTNER K AO1 R T N ER0 +CORTOPASSI K ER0 T OW0 P AA1 S IY0 +CORTRIGHT K AO1 R T R AY0 T +CORUM K AO1 R AH0 M +CORUNDUM K ER0 AH1 N D AH0 M +CORVA K AO1 R V AH0 +CORVALLIS K AO2 R V AE1 L IH0 S +CORVETTE K AO0 R V EH1 T +CORVETTES K AO2 R V EH1 T S +CORVIN K AO1 R V IH0 N +CORVINO K AO2 R V IY1 N OW0 +CORVO K AO1 R V OW0 +CORVUS K AO1 R V AH0 S +CORWIN K AO1 R W IH2 N +CORY K AO1 R IY2 +CORZINE K ER0 Z IY1 N IY0 +CORZO K AO1 R Z OW0 +COS K AO1 S +COSA K OW1 S AA0 +COSATU K AH0 S AA1 T UW2 +COSATU'S K AH0 S AA1 T UW2 Z +COSBY K AO1 Z B IY0 +COSBY'S K AO1 Z B IY0 Z +COSCIA K OW1 S CH AA0 +COSE K OW1 Z +COSELL K OW0 S EH1 L +COSENS K OW1 S AH0 N Z +COSENTINO K OW2 S EH0 N T IY1 N OW0 +COSENZA K OW2 S EH1 N Z AH0 +COSERATZ K OW1 Z ER0 AE2 T S +COSETTE K AH0 S EH1 T +COSEY K OW1 Z IY0 +COSGRIFF K AA1 S G R IH0 F +COSGROVE K AA1 S G R AH0 V +COSI K OW1 S IY0 +COSIC K OW1 S IH0 K +COSIC(2) K OW1 Z IH0 K +COSIC(3) K AA1 S IH0 K +COSIMA K OW0 S IY1 M AH0 +COSIO K OW1 S IY0 OW0 +COSLETT K AA1 S L IH0 T +COSMA K OW1 Z M AH0 +COSMAIR K AO1 Z M EH2 R +COSMAN K AA1 S M AH0 N +COSME K OW1 Z M +COSMETIC K AA0 Z M EH1 T IH0 K +COSMETICALLY K AO2 Z M EH1 T IH0 K L IY0 +COSMETICS K AA0 Z M EH1 T IH0 K S +COSMETOLOGY K AA2 Z M AH0 T AA1 L AH0 JH IY0 +COSMIC K AA1 Z M IH0 K +COSMO K AO1 Z M OW0 +COSMO'S K AA1 Z M OW0 Z +COSMODROME K AO1 Z M AH0 D R OW2 M +COSMOLOGY K AO0 Z M AO1 L AH0 JH IY0 +COSMONAUT K AO1 Z M AH0 N AO2 T +COSMONAUTS K AO1 Z M AH0 N AO2 T S +COSMONAUTS' K AO1 Z M AH0 N AO2 T S +COSMOPOLITAN K AA2 Z M AH0 P AA1 L AH0 T AH0 N +COSMOPULOS K AO2 Z M AH0 P Y UW1 L OW0 S +COSMOS K AA1 Z M OW0 S +COSNER K AA1 S N ER0 +COSPER K AA1 S P ER0 +COSPONSOR K OW2 S P AO1 N S ER0 +COSPONSORS K OW2 S P AO1 N S ER0 Z +COSS K AO1 S +COSSA K AO1 S AH0 +COSSACK K AO1 S AH0 K +COSSACKS K AA1 S AE0 K S +COSSAIRT K AA1 S ER0 T +COSSAT K AA1 S AE0 T +COSSET K AA1 S AH0 T +COSSETTE K AH0 S EH1 T +COSSEY K AA1 S IY0 +COSSIGA K AO2 S IY1 G AH0 +COSSIN K AA1 S IH0 N +COSSMAN K AO1 S M AH0 N +COST K AA1 S T +COST(2) K AO1 S T +COSTA K AO1 S T AA0 +COSTA-RICA K AO1 S T AH0 R IY1 K AH0 +COSTABILE K AO1 S T AH0 B AY2 L +COSTAIN K OW2 S T EY1 N +COSTALES K AA1 S T AH0 L Z +COSTANO K OW0 S T AA1 N OW0 +COSTANTINI K OW0 S T AA0 N T IY1 N IY0 +COSTANTINO K OW0 S T AA0 N T IY1 N OW0 +COSTANZA K OW0 S T AA1 N Z AH0 +COSTANZO K OW0 S T AA1 N Z OW0 +COSTAR K OW1 S T AA0 R +COSTARS K OW1 S T AA0 R Z +COSTAS K AO1 S T AH0 Z +COSTCO K AO1 S T K OW0 +COSTCUTTING K AO1 S T K AH2 T IH0 NG +COSTE K OW1 S T +COSTED K AA1 S T IH0 D +COSTEIRA K OW2 S T IY0 EH1 R AH0 +COSTELLA K AO2 S T EH1 L AH0 +COSTELLO K AO2 S T EH1 L OW0 +COSTELLO'S K AO2 S T EH1 L OW0 Z +COSTEN K AO1 S T AH0 N +COSTER K AO1 S T ER0 +COSTIGAN K AA1 S T IH0 G AE0 N +COSTILLA K OW0 S T IH1 L AH0 +COSTILOW K AA1 S T IH0 L OW0 +COSTIN K AA1 S T IH0 N +COSTING K AO1 S T IH0 NG +COSTLEY K AA1 S T L IY0 +COSTLIER K AO1 S T L IY0 ER0 +COSTLIEST K AO1 S T L IY0 IH0 S T +COSTLOW K AO1 S T L OW2 +COSTLY K AA1 S T L IY0 +COSTLY(2) K AO1 S T L IY0 +COSTNER K AA1 S T N ER0 +COSTNER'S K AA1 S T N ER0 Z +COSTON K AA1 S T AH0 N +COSTRA K AA1 S T R AH0 +COSTS K AA1 S T S +COSTS(2) K AO1 S T S +COSTUME K AA0 S T UW1 M +COSTUME(2) K AA1 S T UW0 M +COSTUMED K AO1 S T UW2 M D +COSTUMER K AA1 S T UW0 M ER0 +COSTUMERS K AA1 S T UW0 M ER0 Z +COSTUMES K AA0 S T UW1 M Z +COSTUMES(2) K AA1 S T UW0 M Z +COSURTUH K AH0 S ER1 T AH0 +COSY K OW1 Z IY0 +COT K AA1 T +COTA K OW1 T AH0 +COTE K OW1 T +COTELLE K OW2 T EH1 L +COTERIE K OW1 T ER0 IY0 +COTES K OW1 T S +COTHAM K AA1 TH AH0 M +COTHERN K AH1 DH ER0 N +COTHRAN K AA1 TH R AH0 N +COTHREN K AA1 TH ER0 AH0 N +COTHRON K AA1 TH R AH0 N +COTIJA K OW0 T IY1 JH AH0 +COTILLA K AH0 T IH1 L AH0 +COTLER K OW1 T AH0 L ER0 +COTLER(2) K AA1 T L ER0 +COTMAN K AA1 T M AH0 N +COTNER K AA1 T N ER0 +COTNEY K AA1 T N IY0 +COTNOIR K AH0 T N W AA1 R +COTO K OW1 T OW0 +COTRET K AA1 T R AH0 T +COTRONE K OW0 T R OW1 N IY0 +COTRONEO K OW0 T R OW1 N IY0 OW0 +COTS K AA1 T S +COTT K AA1 T +COTTA K AA1 T AH0 +COTTAGE K AA1 T AH0 JH +COTTAGE(2) K AA1 T IH0 JH +COTTAGES K AA1 T IH0 JH IH0 Z +COTTAM K AA1 T AH0 M +COTTEE K OW0 T IY1 +COTTEN K AA1 T AH0 N +COTTER K AA1 T ER0 +COTTERILL K AA1 T ER0 IH0 L +COTTERMAN K AA1 T ER0 M AH0 N +COTTIER K AA1 T IY0 ER0 +COTTINGHAM K AA1 T IH0 NG HH AE2 M +COTTLE K AA1 T AH0 L +COTTMAN K AA1 T M AH0 N +COTTO K OW1 T OW0 +COTTOM K AA1 T AH0 M +COTTON K AA1 T AH0 N +COTTON(2) K AO1 T AH0 N +COTTON'S K AA1 T AH0 N Z +COTTONE K OW0 T OW1 N IY0 +COTTONED K AA1 T AH0 N D +COTTONGIN K AH0 T AA1 NG JH IH0 N +COTTONMOUTH K AA1 T AH0 N M AW2 TH +COTTONS K AA1 T AH0 N Z +COTTONSEED K AA1 T AH0 N S IY2 D +COTTONWOOD K AA1 T AH0 N W UH2 D +COTTONWOODS K AA1 T AH0 N W UH2 D Z +COTTRELL K AA2 T R EH1 L +COTTRILL K AA1 T R AH0 L +COTTY K AA1 T IY0 +COTUGNO K OW0 T UW1 G N OW0 +COTY K OW1 T IY0 +COTYLEDON K AO1 T AH0 L IY2 D AH0 N +COU K UW1 +COUCH K AW1 CH +COUCHED K AW1 CH T 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AW1 N S AH0 L ER0 +COUNCILOR(2) K AW1 N S L ER0 +COUNCILORS K AW1 N S AH0 L ER0 Z +COUNCILORS(2) K AW1 N S L ER0 Z +COUNCILS K AW1 N S AH0 L Z +COUNCILWOMAN K AW1 N S AH0 L W UH2 M AH0 N +COUNCILWOMEN K AW1 N S AH0 L W IH2 M AH0 N +COUNIHAN K AW1 N IH0 HH AE0 N +COUNSEL K AW1 N S AH0 L +COUNSEL'S K AW1 N S AH0 L Z +COUNSELED K AW1 N S AH0 L D +COUNSELING K AW1 N S AH0 L IH0 NG +COUNSELING(2) K AW1 N S L IH0 NG +COUNSELL K AW1 N S AH0 L +COUNSELLOR K AW1 N S AH0 L ER0 +COUNSELLOR(2) K AW1 N S L ER0 +COUNSELLORS K AW1 N S AH0 L ER0 Z +COUNSELLORS(2) K AW1 N S L ER0 Z +COUNSELMAN K AW1 N S AH0 L M AH0 N +COUNSELOR K AW1 N S AH0 L ER0 +COUNSELORS K AW1 N S AH0 L ER0 Z +COUNSELS K AW1 N S AH0 L Z +COUNT K AW1 N T +COUNTABLE K AW1 N T AH0 B AH0 L +COUNTDOWN K AW1 N T D AW2 N +COUNTDOWNS K AW1 N T D AW2 N Z +COUNTED K AW1 N T IH0 D +COUNTED(2) K AW1 N IH0 D +COUNTED(3) K AW1 N AH0 D +COUNTENANCE K AW1 N T AH0 N AH0 N S +COUNTENANCED K AW1 N T AH0 N AH0 N S T +COUNTENANCES K AW1 N T AH0 N AH0 N S IH0 Z +COUNTER K AW1 N T ER0 +COUNTERACT K AW1 N T ER0 AE2 K T +COUNTERACTED K AW1 N T ER0 AE2 K T IH0 D +COUNTERACTING K AW2 N T ER0 AE1 K T IH0 NG +COUNTERATTACK K AW1 N T ER0 AH0 T AE2 K +COUNTERATTACKED K AW2 N T ER0 AH0 T AE1 K T +COUNTERATTACKING K AW1 N T ER0 AH0 T AE2 K IH0 NG +COUNTERATTACKS K AW1 N T ER0 AH0 T AE2 K S +COUNTERBALANCE K AW1 N T ER0 B AE2 L AH0 N S +COUNTERBALANCED K AW2 N T ER0 B AE1 L AH0 N S T +COUNTERBALANCES K AW1 N T ER0 B AE2 L AH0 N S IH0 Z +COUNTERBALANCING K AW1 N T ER0 B AE2 L AH0 N S IH0 NG +COUNTERBID K AW2 N T ER0 B IH1 D +COUNTERBIDS K AW2 N T ER0 B IH1 D Z +COUNTERCHALLENGE K AW1 N T ER0 CH AE2 L AH0 N JH +COUNTERCHALLENGES K AW1 N T ER0 CH AE2 L AH0 N JH AH0 Z +COUNTERCHARGE K AW1 N T ER0 CH AA2 R JH +COUNTERCHARGES K AW1 N T ER0 CH AA2 R JH IH0 Z +COUNTERCLAIM K AW1 N T ER0 K L EY2 M +COUNTERCLAIMS K AW1 N T ER0 K L EY2 M Z +COUNTERCLOCKWISE K AW2 N T ER0 K L AO1 K W AY0 Z +COUNTERCLOCKWISE(2) K AW2 N ER0 K L AO1 K W AY0 Z +COUNTERCULTURAL K AW2 N T ER0 K AH1 L CH ER0 AH0 L +COUNTERCULTURE K AW1 N T ER0 K AH2 L CH ER0 +COUNTERCULTURE(2) K AW1 N ER0 K AH2 L CH ER0 +COUNTERED K AW1 N T ER0 D +COUNTERESPIONAGE K AW2 N T ER0 EH1 S P IY0 AH0 N AA0 JH +COUNTERFEIT K AW1 N T ER0 F IH2 T +COUNTERFEITED K AW1 N T ER0 F IH2 T IH0 D +COUNTERFEITER K AW1 N T ER0 F IH2 T ER0 +COUNTERFEITERS K AW1 N T ER0 F IH2 T ER0 Z +COUNTERFEITING K AW1 N T ER0 F IH2 T IH0 NG +COUNTERFEITS K AW1 N T ER0 F IH2 T S +COUNTERFORCE K AW1 N T ER0 F AO2 R S +COUNTERFORCES K AW1 N T ER0 F AO2 R S IH0 Z +COUNTERING K AW1 N T ER0 IH0 NG +COUNTERINSURGENCIES K AW2 N T ER0 IH0 N S ER1 JH AH0 N S IY0 Z +COUNTERINSURGENCY K AW2 N T ER0 IH0 N S ER1 JH AH0 N S IY0 +COUNTERINTELLIGENCE K AW2 N T ER0 IH0 N T EH1 L IH0 JH AH0 N S +COUNTERLIFE K AW1 N T ER0 L AY2 F +COUNTERMAN K AW1 N T ER0 M AE2 N +COUNTERMEASURE K AW1 N T ER0 M EH2 ZH ER0 +COUNTERMEASURES K AW1 N T ER0 M EH2 ZH ER0 Z +COUNTERMOVE K AW1 N T ER0 M UW2 V +COUNTERMOVES K AW1 N T ER0 M UW2 V Z 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ER0 T EH2 N ER0 +COUNTERTERRORISM K AW1 N T ER0 T EH2 R ER0 IH2 Z AH0 M +COUNTERTERRORIST K AW2 N T ER0 T EH1 R ER0 IH0 S T +COUNTERTERRORISTS K AW2 N T ER0 T EH1 R ER0 IH0 S T S +COUNTERTOP K AW1 N T ER0 T AA2 P +COUNTERTOPS K AW1 N T ER0 T AA2 P S +COUNTERTRADE K AW1 N T ER0 T R EY2 D +COUNTERVAIL K AW1 N T ER0 V EY2 L +COUNTERVAILING K AW1 N T ER0 V EY2 L IH0 NG +COUNTERWEIGHT K AW1 N T ER0 W EY2 T +COUNTERWEIGHTS K AW1 N T ER0 W EY2 T S +COUNTESS K AW1 N T AH0 S +COUNTESSES K AW1 N T AH0 S IH0 Z +COUNTIES K AW1 N T IY0 Z +COUNTIES(2) K AW1 N IY0 Z +COUNTING K AW1 N T IH0 NG +COUNTING(2) K AW1 N IH0 NG +COUNTLESS K AW1 N T L AH0 S +COUNTRIES K AH1 N T R IY0 Z +COUNTRIES' K AH1 N T R IY0 Z +COUNTRY K AH1 N T R IY0 +COUNTRY'S K AH1 N T R IY0 Z +COUNTRYFOLK K AH1 N T R IY0 F OW2 K +COUNTRYMAN K AH1 N T R IY0 M AH0 N +COUNTRYMEN K AH1 N T R IY0 M IH0 N +COUNTRYSIDE K AH1 N T R IY0 S AY2 D +COUNTRYWIDE K AH1 N T R IY0 W AY2 D +COUNTS K AW1 N T S +COUNTY K AW1 N T IY0 +COUNTY(2) K AW1 N IY0 +COUNTY'S K AW1 N T IY0 Z +COUNTY'S(2) K AW1 N IY0 Z +COUP K UW1 +COUPE K UW1 P +COUPER K UW1 ER0 +COUPES K UW1 P S +COUPLAND K UW1 P L AH0 N D +COUPLE K AH1 P AH0 L +COUPLE'S K AH1 P AH0 L Z +COUPLED K AH1 P AH0 L D +COUPLER K AH1 P L ER0 +COUPLERS K AH1 P L ER0 Z +COUPLES K AH1 P AH0 L Z +COUPLEY K AH1 P L IY0 +COUPLING K AH1 P L IH0 NG +COUPLINGS K AH1 P L IH0 NG Z +COUPON K UW1 P AO2 N +COUPON(2) K Y UW1 P AO2 N +COUPONING K UW1 P AA0 N IH0 NG +COUPONING(2) K Y UW1 P AA0 N IH0 NG +COUPONITE K UW1 P AA0 N AY0 T +COUPONITE(2) K Y UW1 P AA0 N AY0 T +COUPONITES K UW1 P AA0 N AY0 T S +COUPONITES(2) K Y UW1 P AA0 N AY0 T S +COUPONS K UW1 P AO2 N Z +COUPONS(2) K Y UW1 P AO2 N Z +COUPS K UW1 Z +COUPS(2) K UW1 +COUR K UH1 R +COURAGE K ER1 AH0 JH +COURAGE(2) K ER1 IH0 JH +COURAGEOUS K ER0 EY1 JH AH0 S +COURAGEOUSLY K ER0 EY1 JH AH0 S L IY0 +COURANT K UH1 R AH0 N T +COURCHAINE K UH0 R SH EY1 N +COURCHESNE K UH0 R SH EH1 N +COURIC K AO1 R IH0 K +COURIER K ER1 IY0 ER0 +COURIER'S K ER1 IY0 ER0 Z +COURIERS K ER1 IY0 ER0 Z +COURINGTON K AO1 R IH0 NG T AH0 N +COURNOYER K AO1 R N OY0 ER0 +COURSE K AO1 R S +COURSE'S K AO1 R S IH0 Z +COURSEN K AO1 R S AH0 N +COURSER K AO1 R S ER0 +COURSES K AO1 R S AH0 Z +COURSES(2) K AO1 R S IH0 Z +COURSEY K AO1 R S IY0 +COURSING K AO1 R S IH0 NG +COURSON K AO1 R S AH0 N +COURT K AO1 R T +COURT'S K AO1 R T S +COURT-MARTIAL K AO1 R T M AA2 R SH AH0 L +COURTADE K AO1 R T EY0 D +COURTAULDS K AO1 R T AO2 L D Z +COURTEAU K ER1 T OW0 +COURTED K AO1 R T IH0 D +COURTEMANCHE K AO2 R T M AE1 N SH +COURTEMANCHE(2) K AO2 R T M AA1 N SH +COURTENAY K ER1 T AH0 N EY0 +COURTENAY(2) K AO1 R T N EY0 +COURTEOUS K ER1 T IY0 AH0 S +COURTER K AO1 R T ER0 +COURTER'S K AO1 R T ER0 Z +COURTESIES K ER1 T AH0 S IY0 Z +COURTESY K ER1 T AH0 S IY0 +COURTHOUSE K AO1 R T HH AW2 S +COURTHOUSES K AO1 R T HH AW2 S IH0 Z +COURTIER K AO1 R T IY0 ER0 +COURTIERS K AO1 R T IY0 ER0 Z +COURTING K AO1 R T IH0 NG +COURTIS K AO1 R T IH0 S +COURTLAND K AO1 R T L AE0 N D +COURTLY K AO1 R T L IY0 +COURTNEY K AO1 R T N IY0 +COURTOIS K AO1 R T W AA0 +COURTRIGHT K AO1 R T R AY2 T +COURTROOM K AO1 R T R UW2 M +COURTROOMS K AO1 R T R UW2 M Z +COURTS K AO1 R T S +COURTS' K AO1 R T S +COURTSHIP K AO1 R CH IH2 P +COURTWRIGHT K AO1 R T R AY2 T +COURTYARD K AO1 R T Y AA2 R D +COURTYARDS K AO1 R T Y AA2 R D Z +COURVILLE K UH0 R V IH1 L +COURY K AO1 R IY0 +COUSAR K UW0 S AA1 R +COUSE K AW1 S +COUSENS K UW1 S AH0 N Z +COUSENS(2) K AW1 S AH0 N Z +COUSER K AW1 S ER0 +COUSIN K AH1 Z AH0 N +COUSIN'S K AH1 Z AH0 N Z +COUSINEAU K UW1 S IH0 N OW2 +COUSINO K AW0 S IY1 N OW0 +COUSINS K AH1 Z AH0 N Z +COUSTEAU K UW2 S T OW1 +COUSTEAU'S K UW2 S T OW1 Z +COUSY K UW1 Z IY0 +COUTANT K UW0 T AO1 N T +COUTEE K UW0 T IY1 +COUTO K AW1 T OW0 +COUTS K AW1 T S +COUTTS K AW1 T S +COUTU K UW0 CH UW1 +COUTURE K UW0 T UH1 R +COUTURIER K UW0 T UH1 R IY0 ER0 +COUVILLION K UW0 V IY0 L Y AO1 N +COUVILLON K UW0 V IY0 L AO1 N +COUZENS K UW1 Z AH0 N Z +COVAL K OW0 V AA1 L +COVALENT K OW0 V AA1 L AH0 N T +COVALT K OW1 V AA0 L T +COVARIANCE K OW2 V AA1 R IY2 AH0 N S +COVARIES K OW2 V AA1 R IY2 Z +COVARRUBIAS K OW0 V AA0 R UW0 B IY1 AH0 Z +COVAS K OW1 V AH0 S +COVATTA K OW0 V AA1 T AH0 +COVAULT K OW1 V AO1 L T +COVE K OW1 V +COVEL K OW1 V AH0 L +COVELL K AA1 V AH0 L +COVELLI K OW2 V EH1 L IY0 +COVELLO K OW2 V EH1 L OW0 +COVEN K AH1 V AH0 N +COVEN(2) K OW1 V AH0 N +COVENANT K AH1 V AH0 N AH0 N T +COVENANTER K AH1 V AH0 N AH0 N T ER0 +COVENANTERS K AH1 V AH0 N AH0 N T ER0 Z +COVENANTS K AH1 V AH0 N AH0 N T S +COVENEY K AA1 V IH0 N IY0 +COVENT K AH1 V AH0 N T +COVENTRY K AH1 V AH0 N T R IY0 +COVER K AH1 V ER0 +COVER-UP K AH1 V ER0 AH2 P +COVERAGE K AH1 V ER0 AH0 JH +COVERAGE(2) K AH1 V ER0 IH0 JH +COVERAGE(3) K AH1 V R IH0 JH +COVERAGES K AH1 V ER0 AH0 JH IH0 Z +COVERAGES(2) K AH1 V ER0 IH0 JH IH0 Z +COVERAGES(3) K AH1 V R IH0 JH IH0 Z +COVERALL K AH1 V ER0 AO2 L +COVERALLS K AH1 V ER0 AO2 L Z +COVERDALE K AH1 V ER0 D EY2 L +COVERDELL K AH1 V ER0 D EH2 L +COVERED K AH1 V ER0 D +COVERING K AH1 V ER0 IH0 NG +COVERING(2) K AH1 V R IH0 NG +COVERINGS K AH1 V ER0 IH0 NG Z +COVERS K AH1 V ER0 Z +COVERSTONE K AH1 V ER0 S T OW2 N +COVERT K OW1 V ER0 T +COVERTLY K OW0 V ER1 T L IY0 +COVERUP K AH1 V ER0 AH2 P +COVERUPS K AH1 V ER0 AH2 P S +COVES K OW1 V Z +COVET K AH1 V AH0 T +COVETED K AH1 V AH0 T IH0 D +COVETS K AH1 V AH0 T S +COVEY K AH1 V IY0 +COVIA K OW1 V IY0 AH0 +COVIELLO K OW2 V IY0 EH1 L OW0 +COVILL K AA1 V AH0 L +COVILLE K OW1 V IH2 L +COVIN K OW1 V IH0 N +COVINA K OW0 V IY1 N AH0 +COVINGTON K AH1 V IH0 NG T AH0 N +COVINO K OW0 V IY1 N OW0 +COVITZ K OW1 V IH0 T S +COVY K AH1 V IY0 +COW K AW1 +COW'S K AW1 Z +COWABUNGA K AW2 AH0 B AH1 N G AH0 +COWAN K AW1 AH0 N +COWANS K AW1 AH0 N Z +COWARD K AW1 ER0 D +COWARD'S K AW1 ER0 D Z +COWARDICE K AW1 ER0 D AH0 S +COWARDLY K AW1 ER0 D L IY0 +COWARDS K AW1 ER0 D Z +COWART K AW1 AA0 R T +COWBELL K AW1 B EH2 L +COWBELLS K AW1 B EH2 L Z +COWBOY K AW1 B OY2 +COWBOY'S K AW1 B OY2 Z +COWBOYS K AW1 B OY2 Z +COWBOYS' K AW1 B OY2 Z +COWDEN K AW1 D AH0 N +COWDERY K AW1 D ER0 IY0 +COWDREY K AW1 D R IY0 +COWED K AW1 D +COWEDA K AH0 W IY1 D AH0 +COWELL K AA1 W EH0 L +COWEN K AW1 AH0 N +COWEN(2) K OW1 AH0 N +COWENS K AW1 AH0 N Z +COWENS(2) K OW1 AH0 N Z +COWER K AW1 ER0 +COWERING K AW1 ER0 IH0 NG +COWGER K AW1 JH ER0 +COWGILL K AW1 G IH2 L +COWGIRL K AW1 G ER2 L +COWGIRLS K AW1 G ER2 L Z +COWHER K AA1 W ER0 +COWHERD K AW1 HH ER2 D +COWIE K AW1 IY0 +COWIN K AW1 IH0 N +COWING K AW1 IH0 NG +COWL K AW1 L +COWLES K AW1 AH0 L Z +COWLEY K AW1 L IY0 +COWLICK K AW1 L IH0 K +COWLICKS K AW1 L IH0 K S +COWLING K AW1 L IH0 NG +COWLING'S K AW1 L IH0 NG Z +COWLINGS K AW1 L IH0 NG Z +COWLINGS' K AW1 L IH0 NG Z +COWLINGS'S K AW1 L IH0 NG Z IH0 Z +COWMAN K AW1 M AH0 N +COWORKER K OW1 W ER1 K ER0 +COWORKERS K OW1 W ER1 K ER0 Z +COWPER K AW1 P ER0 +COWPER(2) K UW1 P ER0 +COWPERTHWAITE K AW1 P ER0 TH W EY2 T +COWRIES K AW1 R IY0 Z +COWS K AW1 Z +COWSER K AW1 Z ER0 +COWSERT K AW1 S ER0 T +COWSLIP K AW1 S L IH0 P +COX K AA1 K S +COX'S K AA1 K S IH0 Z +COXE K AA1 K S +COXEN K AA1 K S AH0 N +COXON K AA1 K S AH0 N +COXWELL K AA1 K S W EH2 L +COY K OY1 +COYE K OY1 +COYER K OY1 ER0 +COYKENDALL K OY0 K EH1 N D AH0 L +COYLE K OY1 L +COYLY K OY1 L IY0 +COYM K OY1 M +COYNE K OY1 N +COYNER K OY1 N ER0 +COYOTE K AY0 OW1 T IY0 +COYOTE(2) K AY1 OW0 T +COYOTES K AY0 OW1 T IY0 S +COYOTES(2) K AY1 OW0 T S +COZ K AA1 Z +COZAD K OW1 Z AH0 D +COZART K AA1 Z AA0 R T +COZBY K AA1 Z B IY0 +COZIER K OW1 Z IY0 ER0 +COZINE K OW0 Z IY1 N IY0 +COZINESS K OW1 Z IY0 N AH0 S +COZMAN K OW1 Z M AH0 N +COZY K OW1 Z IY0 +COZYING K OW1 Z IY0 IH0 NG +COZZA K OW1 T S AH0 +COZZENS K AA1 Z AH0 N Z +COZZI K OW1 T S IY0 +COZZOLINO K OW0 T S OW0 L IY1 N OW0 +CPS S IY1 P IY2 EH1 S +CPU S IY2 P IY2 Y UW1 +CR. K R EH1 S AH0 N T +CRAB K R AE1 B +CRABB K R AE1 B +CRABBE K R AE1 B +CRABBED K R AE1 B D +CRABBS K R AE1 B Z +CRABBY K R AE1 B IY0 +CRABEATER K R AE1 B IY2 T ER0 +CRABILL K R AE1 B AH0 L +CRABLE K R EY1 B AH0 L +CRABMEAT K R AE1 B M IY2 T +CRABS K R AE1 B Z +CRABTREE K R AE1 B T R IY2 +CRACCHIOLO K R AA0 K IY0 OW1 L OW0 +CRACE K R EY1 S +CRACK K R AE1 K +CRACKDOWN K R AE1 K D AW2 N +CRACKDOWNS K R AE1 K D AW2 N Z +CRACKED K R AE1 K T +CRACKEL K R AE1 K AH0 L +CRACKER K R AE1 K ER0 +CRACKERJACK K R AE1 K ER0 JH AE2 K +CRACKERS K R AE1 K ER0 Z +CRACKHEAD K R AE1 K HH EH2 D +CRACKHEADS K R AE1 K HH EH2 D Z +CRACKING K R AE1 K IH0 NG +CRACKLE K R AE1 K AH0 L +CRACKLED K R AE1 K AH0 L D +CRACKLES K R AE1 K AH0 L Z +CRACKLING K R AE1 K L IH0 NG +CRACKPOT K R AE1 K P AA2 T +CRACKPOTS K R AE1 K P AA2 T S +CRACKS K R AE1 K S +CRACRAFT K R AA1 K R AE0 F T +CRADDOCK K R AE1 D AH0 K +CRADER K R EY1 D ER0 +CRADIC K R AE1 D IH0 K +CRADLE K R EY1 D AH0 L +CRADLES K R EY1 D AH0 L Z +CRADLING K R EY1 D AH0 L IH0 NG +CRADLING(2) K R EY1 D L IH0 NG +CRADOCK K R AE1 D AH0 K +CRADY K R EY1 D IY0 +CRAFT K R AE1 F T +CRAFT'S K R AE1 F T S +CRAFTED K R AE1 F T IH0 D +CRAFTING K R AE1 F T IH0 NG +CRAFTON K R AE1 F T AH0 N +CRAFTS K R AE1 F T S +CRAFTS(2) K R AE1 F S +CRAFTSMAN K R AE1 F T S M AH0 N +CRAFTSMAN(2) K R AE1 F S M AH0 N +CRAFTSMANSHIP K R AE1 F T S M AH0 N SH IH2 P +CRAFTSMANSHIP(2) K R AE1 F S M AH0 N SH IH2 P +CRAFTSMEN K R AE1 F T S M EH0 N +CRAFTSMEN(2) K R AE1 F S M EH0 N +CRAFTSPEOPLE K R AE1 F T S P IY2 P AH0 L +CRAFTSPEOPLE(2) K R AE1 F S P IY2 P AH0 L +CRAFTY K R AE1 F T IY0 +CRAG K R AE1 G +CRAGER K R EY1 JH ER0 +CRAGG K R AE1 G +CRAGGS K R AE1 G Z +CRAGGY K R AE1 G IY0 +CRAGHEAD K R AE1 G HH EH2 D +CRAGIN K R AE1 JH IH0 N +CRAGLE K R EY1 G AH0 L +CRAGO K R AA1 G OW0 +CRAGS K R AE1 G Z +CRAGUN K R AE1 G AH0 N +CRAIB K R EY1 B +CRAIG K R EY1 G +CRAIG'S K R EY1 G Z +CRAIGHEAD K R EY1 G HH EH2 D +CRAIGIE K R EY1 G IY0 +CRAIGO K R EY1 G OW0 +CRAIGSLIST K R EY1 G Z L IH2 S T +CRAIL K R EY1 L +CRAIN K R EY1 N +CRAIN'S K R EY1 N Z +CRAINE K R EY1 N +CRAKER K R EY1 K ER0 +CRALL K R AO1 L +CRAM K R AE1 M +CRAMBLIT K R AE1 M B L IH0 T +CRAMER K R EY1 M ER0 +CRAMER'S K R EY1 M ER0 Z +CRAMES K R EY1 M Z +CRAMMED K R AE1 M D +CRAMMER K R AE1 M ER0 +CRAMMING K R AE1 M IH0 NG +CRAMP K R AE1 M P +CRAMPED K R AE1 M P T +CRAMPING K R AE1 M P IH0 NG +CRAMPON K R AE1 M P AO0 N +CRAMPONS K R AE1 M P AO0 N Z +CRAMPS K R AE1 M P S +CRAMPTON K R AE1 M P T AH0 N +CRAMS K R AE1 M Z +CRAMTON K R AE1 M T AH0 N +CRANBERRIES K R AE1 N B EH2 R IY0 Z +CRANBERRY K R AE1 N B EH2 R IY0 +CRANCE K R AE1 N S +CRANDALL K R AE1 N D AH0 L +CRANDALL'S K R AE1 N D AH0 L Z +CRANDELL K R AE1 N D AH0 L +CRANE K R EY1 N +CRANE'S K R EY1 N Z +CRANED K R EY1 N D +CRANER K R EY1 N ER0 +CRANES K R EY1 N Z +CRANESBILL K R EY1 N Z B IH2 L +CRANESBILLS K R EY1 N Z B IH2 L Z +CRANEY K R EY1 N IY0 +CRANFIELD K R AE1 N F IY2 L D +CRANFILL K R AE1 N F AH0 L +CRANFORD K R AE1 N F ER0 D +CRANIAL K R EY1 N Y AH0 L +CRANIUM K R EY1 N IY2 AH0 M +CRANK K R AE1 NG K +CRANKED K R AE1 NG K T +CRANKING K R AE1 NG K IH0 NG +CRANKS K R AE1 NG K S +CRANKSHAFT K R AE1 NG K SH AE2 F T +CRANKSHAFTS K R AE1 NG K SH AE2 F T S +CRANKY K R AE1 NG K IY0 +CRANLEY K R AE1 N L IY0 +CRANMER K R AE1 N M ER0 +CRANMORE K R AA1 N M AO0 R +CRANNELL K R AE1 N AH0 L +CRANNEY K R AE1 N IY0 +CRANNIES K R AE1 N IY0 Z +CRANNY K R AE1 N IY0 +CRANOR K R EY1 N ER0 +CRANS K R AE1 N Z +CRANSHAW K R AE1 N SH AO2 +CRANSTON K R AE1 N S T AH0 N +CRANSTON'S K R AE1 N S T AH0 N Z +CRAP K R AE1 P +CRAPO K R AA1 P OW2 +CRAPPIE K R AE1 P IY2 +CRAPPS K R AE1 P S +CRAPPY K R AE1 P IY2 +CRAPS K R AE1 P S +CRAPSER K R AE1 P S ER0 +CRAPSHOOT K R AE1 P SH UW2 T +CRARY K ER1 EH0 R IY2 +CRASE K R EY1 Z +CRASH K R AE1 SH +CRASH'S K R AE1 SH IH0 Z +CRASHED K R AE1 SH T +CRASHES K R AE1 SH IH0 Z +CRASHING K R AE1 SH IH0 NG +CRASNER K R AE1 Z N ER0 +CRASNIANSKI K R AE2 S N IY0 AE1 N S K IY0 +CRASS K R AE1 S +CRASSWELLER K R AE1 S W EH2 L ER0 +CRASSWELLER'S K R AE1 S W EH2 L ER0 Z +CRATE K R EY1 T +CRATER K R EY1 T ER0 +CRATERED K R EY1 T ER0 D +CRATERS K R EY1 T ER0 Z +CRATES K R EY1 T S +CRATIA K R EY1 SH AH0 +CRATING K R EY1 T IH0 NG +CRATON K R AE1 T AH0 N +CRATTY K R AE1 T IY0 +CRAUGH K R AO1 +CRAUN K R AO1 N +CRAVATH K R AE1 V AH0 TH +CRAVE K R EY1 V +CRAVED K R EY1 V D +CRAVEN K R EY1 V AH0 N +CRAVEN'S K R EY1 V AH0 N Z +CRAVENS K R EY1 V AH0 N Z +CRAVER K R EY1 V ER0 +CRAVES K R EY1 V Z +CRAVEY K R EY1 V IY0 +CRAVIN K R EY1 V IH0 N +CRAVING K R EY1 V IH0 NG +CRAVINGS K R EY1 V IH0 NG Z +CRAW K R AO1 +CRAWFISH K R AO1 F IH2 SH +CRAWFORD K R AO1 F ER0 D +CRAWFORD'S K R AO1 F ER0 D Z +CRAWFORDSVILLE K R AO1 F ER0 D Z V IH2 L +CRAWL K R AO1 L +CRAWLED K R AO1 L D +CRAWLER K R AO1 L ER0 +CRAWLEY K R AO1 L IY0 +CRAWLING K R AO1 L IH0 NG +CRAWLS K R AO1 L Z +CRAWLY K R AO1 L IY0 +CRAWMER K R AO1 M ER0 +CRAWSHAW K R AO1 SH AO2 +CRAXI K R AE1 K S IY0 +CRAY K R EY1 +CRAY'S K R EY1 Z +CRAYCRAFT K R EY1 K R AE2 F T +CRAYFISH K R EY1 F IH0 SH +CRAYNE K R EY1 N +CRAYON K R EY1 AA2 N +CRAYONS K R EY1 AA2 N Z +CRAYS K R EY1 Z +CRAYTON K R EY1 T AH0 N +CRAZE K R EY1 Z +CRAZED K R EY1 Z D +CRAZIER K R EY1 Z IY0 ER0 +CRAZIES K R EY1 Z IY0 Z +CRAZIEST K R EY1 Z IY0 AH0 S T +CRAZILY K R EY1 Z AH0 L IY0 +CRAZINESS K R EY1 Z IY0 N AH0 S +CRAZY K R EY1 Z IY0 +CREA K R IY1 +CREACH K R IY1 CH +CREAGER K R IY1 IH0 JH ER0 +CREAGH K R IY1 G +CREAK K R IY1 K +CREAKED K R IY1 K T +CREAKING K R IY1 K IH0 NG +CREAKY K R IY1 K IY0 +CREAL K R IY1 L +CREAM K R IY1 M +CREAMED K R IY1 M D +CREAMER K R IY1 M ER0 +CREAMERY K R IY1 M ER0 IY0 +CREAMIER K R IY1 M IY0 ER0 +CREAMIEST K R IY1 M IY0 IH0 S T +CREAMS K R IY1 M Z +CREAMY K R IY1 M IY0 +CREAN K R IY1 N +CREAR K R IH1 R +CREASE K R IY1 S +CREASES K R IY1 S IH0 Z +CREASEY K R IY1 S IY0 +CREASMAN K R IY1 Z M AH0 N +CREASON K R IY1 S AH0 N +CREASY K R IY1 S IY0 +CREATE K R IY0 EY1 T +CREATE-A-BOOK K R IY0 EY2 T AH0 B UH1 K +CREATED K R IY0 EY1 T AH0 D +CREATED(2) K R IY0 EY1 T IH0 D +CREATES K R IY0 EY1 T S +CREATH K R EH1 TH +CREATING K R IY0 EY1 T IH0 NG +CREATION K R IY0 EY1 SH AH0 N +CREATIONISM K R IY0 EY1 SH AH0 N IH2 Z AH0 M +CREATIONS K R IY0 EY1 SH AH0 N Z +CREATIVE K R IY0 EY1 T IH0 V +CREATIVELY K R IY0 EY1 T IH0 V L IY0 +CREATIVENESS K R IY0 EY1 T IH0 V N AH0 S +CREATIVITY K R IY2 EY0 T IH1 V AH0 T IY0 +CREATOLOGIST K R IY0 EY2 T AO1 L AH0 JH IH0 S T +CREATOLOGISTS K R IY0 EY2 T AO1 L AH0 JH IH0 S T S +CREATOR K R IY0 EY1 T ER0 +CREATORS K R IY0 EY1 T ER0 Z +CREATURE K R IY1 CH ER0 +CREATURES K R IY1 CH ER0 Z +CRECELIUS K R IH0 S IY1 L IY0 IH0 S +CRECHE K R EH1 SH +CRECHES K R EH1 SH AH0 Z +CREDENCE K R IY1 D AH0 N S +CREDENTIAL K R IH0 D EH1 N SH AH0 L +CREDENTIAL(2) K R AH0 D EH1 N SH AH0 L +CREDENTIALED K R AH0 D EH1 N SH AH0 L D +CREDENTIALS K R AH0 D EH1 N SH AH0 L Z +CREDENZA K R AH0 D EH1 N Z AH0 +CREDEUR K R IH0 D ER1 +CREDIBILITY K R EH2 D AH0 B IH1 L IH0 T IY0 +CREDIBLE K R EH1 D AH0 B AH0 L +CREDIBLY K R EH1 D AH0 B L IY0 +CREDIT K R EH1 D AH0 T +CREDIT(2) K R EH1 D IH0 T +CREDIT'S K R EH1 D IH0 T S +CREDITABLE K R EH1 D AH0 T AH0 B AH0 L +CREDITABLY K R EH1 D AH0 T AH0 B L IY0 +CREDITANSTALT K R EH2 D IH1 T AH0 N SH T AO2 L T +CREDITBANK K R EH1 D IH0 T B AE2 NG K +CREDITED K R EH1 D AH0 T AH0 D +CREDITED(2) K R EH1 D IH0 T IH0 D +CREDITHRIFT K R EH2 D IH0 TH R IH1 F T +CREDITING K R EH1 D AH0 T IH0 NG +CREDITO K R EH0 D IY1 T OW0 +CREDITOR K R EH1 D AH0 T ER0 +CREDITOR(2) K R EH1 D IH0 T ER0 +CREDITORS K R EH1 D IH0 T ER0 Z +CREDITORS' K R EH1 D IH0 T ER0 Z +CREDITS K R EH1 D IH0 T S +CREDITWATCH K R EH1 D IH0 T W AA2 CH +CREDITWORTHINESS K R EH1 D IH0 T W ER2 DH IY0 N AH0 S +CREDITWORTHY K R EH1 D IH0 T W ER2 DH IY0 +CREDLE K R EH1 D AH0 L +CREDO K R EY1 D OW0 +CREDO(2) K R IY1 D OW0 +CREDULITY K R IH0 D UW1 L AH0 T IY0 +CREDULOUS K R EH1 JH AH0 L AH0 S +CREE K R IY1 +CREECH K R IY1 CH +CREECY K R IY1 S IY0 +CREED K R IY1 D +CREEDEN K R IY1 D AH0 N +CREEDON K R IY1 D AH0 N +CREEDS K R IY1 D Z +CREEGAN K R IY1 G AH0 N +CREEK K R IY1 K +CREEK'S K R IY1 K S +CREEKMORE K R IY1 K M AO0 R +CREEKMUR K R IY1 K M ER0 +CREEKS K R IY1 K S +CREEL K R IY1 L +CREELMAN K R IY1 L M AH0 N +CREELY K R IY1 L IY0 +CREEP K R IY1 P +CREEPINESS K R IY1 P IY0 N IH0 S +CREEPING K R IY1 P IH0 NG +CREEPS K R IY1 P S +CREEPY K R IY1 P IY0 +CREER K R IH1 R +CREES K R IY1 Z +CREF K R EH1 F +CREF'S K R EH1 F S +CREGAN K R IY1 G AH0 N +CREGAR K R IY1 G ER0 +CREGER K R IY1 JH ER0 +CREGG K R EH1 G +CREGGER K R EH1 G ER0 +CREGO K R EH1 G OW0 +CREHAN K R EH1 HH AH0 N +CREIGHTON K R EY1 T AH0 N +CREKO K R EH1 K OW0 +CRELLIN K R EH1 L IH0 N +CREMATE K R IY1 M EY0 T +CREMATED K R IY1 M EY0 T IH0 D +CREMATION K R IY0 M EY1 SH AH0 N +CREMATORIA K R IY0 M AH0 T AO1 R IY0 AH0 +CREMATORIUM K R IY0 M AH0 T AO1 R IY0 AH0 M +CREME K R IY1 M +CREMEANS K R EH1 M AH0 N Z +CREMEENS K R IH0 M IY1 N Z +CREMER K R IY1 M ER0 +CREMIN K R EH1 M IH0 N +CRENELATE K R EH1 N AH0 L EY2 T +CRENELATED K R EH1 N AH0 L EY2 T AH0 D +CRENSHAW K R EH1 N SH AO2 +CRENWELGE K R EH1 N W IH0 L JH +CREOLE K R IY1 OW0 L +CREOLES K R IY0 OW1 L Z +CREOLIZE K R IY1 OW2 L AY2 Z +CREOLIZED K R IY1 OW2 L AY2 Z D +CREOSOTE K R IY1 AH0 S OW2 T +CREPE K R EY1 P +CREPEAU K R IH0 P OW1 +CREPES K R EY1 P S +CREPS K R EH1 P S +CREPT K R EH1 P T +CREQUE K R EH1 K +CRESAP K R EH1 S AH0 P +CRESAP(2) K R IY1 S AH0 P +CRESCENDO K R IH0 SH EH1 N D OW0 +CRESCENT K R EH1 S AH0 N T +CRESCENTS K R EH1 S AH0 N T S +CRESCENZI K R EH0 S CH EH1 N Z IY0 +CRESCENZO K R EH0 S CH EH1 N Z OW0 +CRESCI K R EH1 S IY0 +CRESCOTT K R EH1 S K AA0 T +CRESON K R EH1 S AH0 N +CRESPI K R EH1 S P IY0 +CRESPIN K R EH1 S P IH0 N +CRESPO K R EH1 S P OW0 +CRESS K R EH1 S +CRESSES K R EH1 S AH0 Z +CRESSES(2) K R EH1 S IH0 Z +CRESSEY K R EH1 S IY0 +CRESSLER K R EH1 S L ER0 +CRESSMAN K R EH1 S M AH0 N +CRESSON K R EH1 S AH0 N +CRESSWELL K R EH1 S W EH2 L +CRESSY K R EH1 S IY0 +CREST K R EH1 S T +CRESTAR K R EH1 S T AA2 R +CRESTED K R EH1 S T IH0 D +CRESTFALLEN K R EH1 S T F AO2 L AH0 N +CRESTING K R EH1 S T IH0 NG +CRESTMONT K R EH1 S T M AA2 N T +CRESTS K R EH1 S T S +CRESWELL K R EH1 S W EH2 L +CRETACEOUS K R IH0 T EY1 SH IH0 S +CRETCHEN K R EH1 CH AH0 N +CRETE K R IY1 T +CRETELLA K R EH0 T EH1 L AH0 +CRETIEN K R IY1 SH Y AH0 N +CRETIN K R IY1 T AH0 N +CRETSINGER K R EH1 T S IH0 N JH ER0 +CREUTZFELDT K R UH1 T S F EH0 L D +CREUTZFELDT(2) K R UH1 T S F EH0 L T +CREVASSE K R AH0 V AE1 S +CREVELING K R EH1 V AH0 L IH0 NG +CREVELING(2) K R EH1 V L IH0 NG +CREVICE K R EH1 V AH0 S +CREVICES K R EH1 V AH0 S IH0 Z +CREVIER K R IY1 V IY0 ER0 +CREVISTON K R EH1 V IH0 S T AA0 N +CREW K R UW1 +CREW'S K R UW1 Z +CREWE K R UW1 +CREWEL K R UW1 AH0 L +CREWES K R UW1 Z +CREWMAN K R UW1 M AH0 N +CREWMEN K R UW1 M IH0 N +CREWS K R UW1 Z +CRIB K R IH1 B +CRIBARI K R IY0 B AA1 R IY0 +CRIBB K R IH1 B +CRIBBAGE K R IH1 B IH0 JH +CRIBBING K R IH1 B IH0 NG +CRIBBS K R IH1 B Z +CRIBS K R IH1 B Z +CRICHLOW K R IH1 K L OW0 +CRICHTON K R IH1 CH T AH0 N +CRICK K R IH1 K +CRICKET K R IH1 K AH0 T +CRICKET(2) K R IH1 K IH0 T +CRICKET'S K R IH1 K AH0 T S +CRICKETS K R IH1 K AH0 T S +CRIDDLE K R IH1 D AH0 L +CRIDER K R AY1 D ER0 +CRIED K R AY1 D +CRIER K R AY1 ER0 +CRIES K R AY1 Z +CRIGER K R AY1 JH ER0 +CRIGGER K R IH1 G ER0 +CRIGLER K R IH1 G L ER0 +CRIHFIELD K R IH1 F IY0 L D +CRILL K R IH1 L +CRILLEY K R IH1 L IY0 +CRILLY K R IH1 L IY0 +CRIM K R IH1 M +CRIME K R AY1 M +CRIME'S K R AY1 M Z +CRIMEA K R AY0 M IY1 AH0 +CRIMEAN K R IH0 M IY1 N +CRIMEAN(2) K R AY2 M IY1 AH0 N +CRIMES K R AY1 M Z +CRIMI K R IY1 M IY0 +CRIMINAL K R IH1 M AH0 N AH0 L +CRIMINAL'S K R IH1 M AH0 N AH0 L Z +CRIMINALIST K R IH1 M AH0 N AH0 L IH0 S T +CRIMINALIST'S K R IH1 M AH0 N AH0 L IH0 S T S +CRIMINALISTICS K R IH2 M AH0 N AH0 L IH1 S T IH0 K S +CRIMINALISTS K R IH1 M AH0 N AH0 L IH0 S T S +CRIMINALITY K R IH2 M AH0 N AE1 L IH0 T IY0 +CRIMINALIZATION K R IH2 M AH0 N AH0 L AH0 Z EY1 SH AH0 N +CRIMINALIZE K R IH1 M AH0 N AH0 L AY2 Z +CRIMINALIZED K R IH1 M AH0 N AH0 L AY2 Z D +CRIMINALIZING K R IH1 M AH0 N AH0 L AY2 Z IH0 NG +CRIMINALLY K R IH1 M AH0 N AH0 L IY0 +CRIMINALS K R IH1 M AH0 N AH0 L Z +CRIMINALS' K R IH1 M AH0 N AH0 L Z +CRIMINOLOGIST K R IH2 M IH0 N AA1 L AH0 JH IH0 S T +CRIMINOLOGISTS K R IH2 M IH0 N AA1 L AH0 JH IH0 S T S +CRIMINOLOGY K R IH2 M IH0 N AA1 L AH0 JH IY0 +CRIMM K R IH1 M +CRIMMINS K R IH1 M IH0 N Z +CRIMP K R IH1 M P +CRIMPED K R IH1 M P T +CRIMPING K R IH1 M P IH0 NG +CRIMPS K R IH1 M P S +CRIMSON K R IH1 M Z AH0 N +CRINER K R AY1 N ER0 +CRINGE K R IH1 N JH +CRINGED K R IH1 N JH D +CRINGES K R IH1 N JH IH0 Z +CRINGING K R IH1 N JH IH0 NG +CRIP K R IH1 P +CRIPE K R AY1 P +CRIPPEN K R IH1 P AH0 N +CRIPPLE K R IH1 P AH0 L +CRIPPLED K R IH1 P AH0 L D +CRIPPLES K R IH1 P AH0 L Z +CRIPPLING K R IH1 P AH0 L IH0 NG +CRIPPLING(2) K R IH1 P L IH0 NG +CRIPPS K R IH1 P S +CRIPS K R IH1 P S +CRIS K R IH1 S +CRISAFI K R IY0 S AA1 F IY0 +CRISAFULLI K R IY0 S AA0 F UW1 L IY0 +CRISANTI K R IH0 S AE1 N T IY0 +CRISCI K R IH1 S IY0 +CRISCIONE K R IY0 S CH OW1 N IY0 +CRISCO K R IY1 S K OW0 +CRISCUOLO K R IY0 S K W OW1 L OW0 +CRISE K R AY1 Z +CRISES K R AY1 S IY0 Z +CRISHMAN K R IH1 SH M AH0 N +CRISHMAN'S K R IH1 SH M AH0 N Z +CRISIS K R AY1 S AH0 S +CRISLER K R IH1 S AH0 L ER0 +CRISLER(2) K R IH1 S L ER0 +CRISLIP K R IH1 S L IH0 P +CRISMAN K R IH1 S M AH0 N +CRISMON K R IH1 Z M AH0 N +CRISOSTOMO K R IY0 S OW0 S T OW1 M OW0 +CRISP K R IH1 S P +CRISPELL K R IH1 S P AH0 L +CRISPEN K R IH1 S P AH0 N +CRISPER K R IH1 S P ER0 +CRISPIN K R IH1 S P IH0 N +CRISPINA K R IY0 S P IY1 N AH0 +CRISPINO K R IY0 S P IY1 N OW0 +CRISPLY K R IH1 S P L IY0 +CRISPNESS K R IH1 S P N AH0 S +CRISPO K R IY1 S P OW0 +CRISPY K R IH1 S P IY0 +CRISS K R IH1 S +CRISS-CROSS K R IH1 S K R AO1 S +CRISS-CROSSED K R IH1 S K R AO1 S T +CRISSCROSS K R IH1 S K R AO2 S +CRISSCROSSED K R IH1 S K R AO2 S T +CRISSCROSSING K R IH1 S K R AO2 S IH0 NG +CRISSEY K R IH1 S IY0 +CRISSINGER K R IH1 S IH0 N JH ER0 +CRISSLOW K R IH1 S L OW0 +CRISSMAN K R IH1 S M AH0 N +CRIST K R IH1 S T +CRISTA K R IH1 S T AH0 +CRISTABEL K R IH1 S T AH0 B EH0 L +CRISTAL K R IH1 S T AH0 L +CRISTIANI K R IH2 S T IY0 AA1 N IY0 +CRISTIANI(2) K R IH2 S CH IY0 AA1 N IY0 +CRISTIANI'S K R IH2 S T IY0 AA1 N IY0 Z +CRISTIANI'S(2) K R IH2 S CH IY0 AA1 N IY0 Z +CRISTIANO K R IY0 S T IY0 AA1 N OW0 +CRISTINA K R IH0 S T IY1 N AH0 +CRISTO K R IH1 S T OW2 +CRISTO'S K R IH1 S T OW2 Z +CRISTOBAL K R IH1 S T AH0 B AH0 L +CRISTOBEL K R IH1 S T AH0 B EH0 L +CRISTOBEL'S K R IH1 S T AH0 B EH0 L Z +CRISWELL K R IH1 S W EH0 L +CRITCHER K R IH1 CH ER0 +CRITCHFIELD K R IH1 CH F IY0 L D +CRITCHLEY K R IH1 CH L IY0 +CRITCHLOW K R IH1 CH L OW0 +CRITELLI K R IH0 T EH1 L IY0 +CRITERIA K R AY0 T IH1 R IY0 AH0 +CRITERION K R AY0 T IH1 R IY0 AH0 N +CRITES K R AY1 T S +CRITIC K R IH1 T IH0 K +CRITIC'S K R IH1 T IH0 K S +CRITICAL K R IH1 T IH0 K AH0 L +CRITICALITY K R IH2 T AH0 K AE1 L AH0 T IY0 +CRITICALLY K R IH1 T IH0 K AH0 L IY0 +CRITICALLY(2) K R IH1 T IH0 K L IY0 +CRITICISM K R IH1 T IH0 S IH2 Z AH0 M +CRITICISMS K R IH1 T IH0 S IH2 Z AH0 M Z +CRITICIZE K R IH1 T IH0 S AY2 Z +CRITICIZED K R IH1 T AH0 S AY2 Z D +CRITICIZES K R IH1 T IH0 S AY2 Z IH0 Z +CRITICIZING K R IH1 T IH0 S AY2 Z IH0 NG +CRITICS K R IH1 T IH0 K S +CRITICS' K R IH1 T IH0 K S +CRITIQUE K R AH0 T IY1 K +CRITIQUE(2) K R IH0 T IY1 K +CRITIQUED K R IH0 T IY1 K T +CRITIQUES K R IH0 T IY1 K S +CRITIQUING K R IH0 T IY1 K IH0 NG +CRITON K R AY1 T AH0 N +CRITSER K R IH1 T S ER0 +CRITTENDEN K R IH0 T EH1 N D AH0 N +CRITTENDON K R IH1 T AH0 N D IH0 N +CRITTER K R IH1 T ER0 +CRITTERS K R IH1 T ER0 Z +CRITZ K R IH1 T S +CRITZER K R IH1 T Z ER0 +CRIVARO K R IH0 V AE1 R OW0 +CRIVELLI K R IH0 V EH1 L IY0 +CRIVELLO K R IH0 V EH1 L OW0 +CRIVEN K R IH1 V AH0 N +CRM S IY1 AA1 R EH1 M +CRNKOVICH S ER1 N AH0 V IH2 CH +CRO K R OW1 +CROAK K R OW1 K +CROAKER K R OW1 K ER0 +CROAKING K R OW1 K IH0 NG +CROAT K R OW1 AA2 T +CROAT'S K R OW1 AA2 T S +CROATIA K R OW0 EY1 SH AH0 +CROATIA'S K R OW0 EY1 SH AH0 Z +CROATIAN K R OW0 EY1 SH AH0 N +CROATIAN'S K R OW0 EY1 SH AH0 N Z +CROATIANS K R OW0 EY1 SH AH0 N Z +CROATIANS' K R OW0 EY1 SH AH0 N Z +CROATS K R OW1 AA2 T S +CROC K R AA1 K +CROCCO K R AA1 K OW0 +CROCE K R OW1 CH IY0 +CROCHET K R OW0 SH EY1 +CROCHETED K R OW0 SH EY1 D +CROCHETIERE K R OW2 SH AH0 T IH1 R +CROCHETING K R OW0 SH EY1 IH0 NG +CROCK K R AA1 K +CROCKER K R AA1 K ER0 +CROCKER'S K R AA1 K ER0 Z +CROCKERY K R AA1 K ER0 IY0 +CROCKETT K R AA1 K IH0 T +CROCKFORD K R AA1 K F ER0 D +CROCODILE K R AA1 K AH0 D AY2 L +CROCODILES K R AA1 K AH0 D AY2 L Z +CROCODILIAN K R AA2 K AH0 D IH1 L Y AH0 N +CROCUS K R OW1 K AH0 S +CROCUSES K R OW1 K Y UW0 S IH0 Z +CROFF K R AO1 F +CROFFORD K R AA1 F ER0 D +CROFOOT K R OW1 F UH0 T +CROFT K R AO1 F T +CROFTON K R AA1 F T AH0 N +CROFTS K R AO1 F T S +CROGAN K R OW1 G AH0 N +CROGHAN K R AA1 G AH0 N +CROISSANT K W AA2 S AA1 N T +CROISSANT(2) K R AH0 S AA1 N T +CROISSANTS K W AA2 S AA1 N T S +CROISSANTS(2) K R AH0 S AA1 N T S +CROITZER K R OY1 T S ER0 +CROIX K R OY1 +CROIX'S K R OY1 Z +CROKE K R OW1 K +CROKER K R OW1 K ER0 +CROLEY K R OW1 L IY0 +CROLL K R OW1 L +CROM K R AA1 M +CROMARTIE K R AA1 M AA0 R T IY0 +CROMBIE K R AA1 M B IY0 +CROMER K R OW1 M ER0 +CROMER'S K R OW1 M ER0 Z +CROMIE K R AA1 M IY0 +CROMLEY K R AA1 M L IY0 +CROMPTON K R AA1 M P T AH0 N +CROMWELL K R AA1 M W AH0 L +CROMWELL'S K R AA1 M W IH0 L Z +CRON K R AA1 N +CRONAN K R OW1 N AH0 N +CRONAUER K R AA1 N AW0 R +CRONCE K R AA1 N S +CRONE K R OW1 N +CRONEN K R OW1 N AH0 N +CRONER K R OW1 N ER0 +CRONEY K R OW1 N IY0 +CRONIES K R OW1 N IY0 Z +CRONIN K R OW1 N IH0 N +CRONK K R AA1 NG K +CRONKHITE K R AA1 NG K HH AY2 T +CRONKITE K R AA1 NG K AY2 T +CRONKRIGHT K R AA1 NG K R AY2 T +CRONQUIST K R AA1 N K W IH2 S T +CRONUS K R OW1 N AH0 S +CRONY K R OW1 N IY0 +CRONYISM K R OW1 N IY0 IH2 Z AH0 M +CROOK K R UH1 K +CROOKE K R UH1 K +CROOKED K R UH1 K AH0 D +CROOKED-LEG K R UH1 K AH0 D L EH2 G +CROOKEDNESS K R UH1 K AH0 D N AH0 S +CROOKER K R UH1 K ER0 +CROOKLYN K R UH1 K L IH2 N +CROOKLYN'S K R UH1 K L IH2 N Z +CROOKS K R UH1 K S +CROOKSHANK K R UH1 K SH AE2 NG K +CROOKSHANKS K R UH1 K SH AE2 NG K S +CROOKSTON K R UH1 K S T AH0 N +CROOM K R UW1 M +CROOMS K R UW1 M Z +CROON K R UW1 N +CROONER K R UW1 N ER0 +CROONING K R UW1 N IH0 NG +CROONS K R UW1 N Z +CROP K R AA1 P +CROP'S K R AA1 P S +CROPLAND K R AA1 P L AE2 N D +CROPLEY K R AA1 P L IY0 +CROPP K R AA1 P +CROPPED K R AA1 P T +CROPPER K R AA1 P ER0 +CROPPING K R AA1 P IH0 NG +CROPS K R AA1 P S +CROPSEY K R AA1 P S IY0 +CROQUET K R OW0 K EY1 +CROS K R AO1 S +CROSBEY K R AA1 S B IY0 +CROSBIE K R AO1 Z B IY0 +CROSBY K R AO1 Z B IY0 +CROSBY'S K R AO1 Z B IY0 Z +CROSE K R OW1 Z +CROSHAW K R AA1 SH AO0 +CROSKEY K R AA1 S K IY0 +CROSLAND K R AA1 S L AH0 N D +CROSLEY K R AA1 S L IY0 +CROSLIN K R AA1 S L IH0 N +CROSON K R OW1 S AH0 N +CROSS K R AO1 S +CROSS'S K R AO1 S IH0 Z +CROSS-COUNTRY K R AO1 S K AH2 N T R IY0 +CROSS-POLLINATE K R AO1 S P AA2 L AH0 N EY2 T +CROSS-REFERENCE K R AO1 S R EH2 F ER0 AH0 N S +CROSSAN K R AA1 S AH0 N +CROSSBILL K R AO1 S B IH2 L +CROSSBILLS K R AO1 S B IH2 L Z +CROSSBONES K R AO1 S B OW2 N Z +CROSSBORDER K R AO1 S B AO2 R D ER0 +CROSSBOW K R AO1 S B OW2 +CROSSBOWS K R AO1 S B OW2 Z +CROSSCURRENT K R AO1 S K ER2 AH0 N T +CROSSCURRENTS K R AO1 S K ER2 AH0 N T S +CROSSE K R AA1 S +CROSSED K R AO1 S T +CROSSEN K R AO1 S AH0 N +CROSSER K R AO1 S ER0 +CROSSES K R AO1 S IH0 Z +CROSSETT K R AA1 S IH0 T +CROSSFIELD K R AO1 S F IY2 L D +CROSSFIRE K R AO1 S F AY0 R +CROSSFIRE(2) K R AO1 S F AY2 R +CROSSFIRE'S K R AO1 S F AY0 R Z +CROSSIN K R AA1 S IH0 N +CROSSING K R AO1 S IH0 NG +CROSSINGS K R AO1 S IH0 NG Z +CROSSLAND K R AO1 S L AE2 N D +CROSSLEY K R AA1 S L IY0 +CROSSLIN K R AA1 S L IH0 N +CROSSMAN K R AO1 S M AH0 N +CROSSNINE K R AO1 S N AY2 N +CROSSNO K R OW1 S N OW0 +CROSSON K R AA1 S AH0 N +CROSSOVER K R AO1 S OW2 V ER0 +CROSSPIECE K R AO1 S P IY2 S +CROSSPIECES K R AO1 S P IY2 S AH0 Z +CROSSPIECES(2) K R AO1 S P IY2 S IH0 Z +CROSSROAD K R AO1 S R OW2 D +CROSSROADS K R AO1 S R OW2 D Z +CROSSTALK K R AO1 S T AO1 K +CROSSTOWN K R AO1 S T AW2 N +CROSSVILLE K R AA1 S V IH0 L +CROSSWALK K R AA1 S W AA2 K +CROSSWALKS K R AA1 S W AA2 K S +CROSSWHITE K R AA1 S W AY0 T +CROSSWISE K R AO1 S W AY2 Z +CROSSWORD K R AO1 S W ER2 D +CROSSWORDS K R AO1 S W ER2 D Z +CROSTHWAIT K R AA1 S TH W AH0 T +CROSTHWAITE K R AA1 S TH W AH0 T +CROSTON K R AA1 S T AH0 N +CROSWELL K R AA1 S W EH0 L +CROTCH K R AA1 CH +CROTCHETY K R AA1 CH AH0 T IY0 +CROTEAU K R AH0 T OW1 +CROTHERS K R AH1 DH ER0 Z +CROTONVILLE K R OW1 T AH0 N V IH2 L +CROTTEAU K R AH0 T OW1 +CROTTS K R AA1 T S +CROTTY K R AA1 T IY0 +CROTWELL K R AA1 T W EH2 L +CROTZER K R OW1 T Z ER0 +CROUCH K R AW1 CH +CROUCHED K R AW1 CH T +CROUCHER K R AW1 CH ER0 +CROUCHING K R AW1 CH IH0 NG +CROUGH K R AW1 +CROUNSE K R AW1 N S +CROUP K R UW1 P +CROUSE K R AW1 S +CROUSER K R AW1 S ER0 +CROUT K R AW1 T +CROUTHAMEL K R AW1 TH AH0 M EH0 L +CROUTON K R UW1 T AH0 N +CROUTONS K R UW1 T AH0 N Z +CROVITZ K R OW1 V IH0 T S +CROVITZ'S K R OW1 V IH0 T S IH0 Z +CROVL K R OW1 V AH0 L +CROVLS K R OW1 V AH0 L 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M +CRUMBAUGH K R AH1 M B AO2 +CRUMBLE K R AH1 M B AH0 L +CRUMBLED K R AH1 M B AH0 L D +CRUMBLES K R AH1 M B AH0 L Z +CRUMBLEY K R AH1 M B L IY0 +CRUMBLING K R AH1 M B AH0 L IH0 NG +CRUMBLING(2) K R AH1 M B L IH0 NG +CRUMBS K R AH1 M Z +CRUMBY K R AH1 M B IY0 +CRUME K R UW1 M +CRUMITIE K R UW1 M IH0 T IY0 +CRUMLEY K R AH1 M L IY0 +CRUMLY K R AH1 M L IY0 +CRUMM K R AH1 M +CRUMMETT K R AH1 M IH0 T +CRUMMEY K R AH1 M IY0 +CRUMMY K R AH1 M IY0 +CRUMP K R AH1 M P +CRUMPACKER K R AH1 M P AH0 K ER0 +CRUMPLE K R AH1 M P AH0 L +CRUMPLED K R AH1 M P AH0 L D +CRUMPLER K R AH1 M P AH0 L ER0 +CRUMPLER(2) K R AH1 M P L ER0 +CRUMPTON K R AH1 M P T AH0 N +CRUMRINE K R AH1 M R IY2 N +CRUNCH K R AH1 N CH +CRUNCHED K R AH1 N CH T +CRUNCHER K R AH1 N CH ER0 +CRUNCHERS K R AH1 N CH ER0 Z +CRUNCHES K R AH1 N CH IH0 Z +CRUNCHING K R AH1 N CH IH0 NG +CRUNCHY K R AH1 N CH IY0 +CRUNK K R AH1 NG K +CRUNKLETON K R AH1 NG K AH0 L T AA0 N +CRUPI K R UW1 P IY0 +CRUSADE K R UW0 S EY1 D +CRUSADER K R UW0 S EY1 D ER0 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AE1 Z M IH0 K +CYTOTECH S AY1 T OW0 T EH2 K +CYTOTECHS S AY1 T OW0 T EH2 K S +CYWINSKI K IH0 V IH1 N S K IY0 +CZAJA CH AY1 AH0 +CZAJKA CH AY1 K AH0 +CZAJKOWSKI CH AY0 K AO1 F S K IY0 +CZAPLA CH AA1 P L AH0 +CZAPLEWSKI CH AH0 P L EH1 F S K IY0 +CZAPLICKI CH AH0 P L IH1 T S K IY0 +CZAR Z AA1 R +CZAR'S Z AA1 R Z +CZARIST Z AA1 R IH0 S T +CZARNECKI CH ER0 N EH1 T S K IY0 +CZARNIK CH AA1 R N IH0 K +CZARNY CH AA1 R N IY0 +CZARS Z AA1 R Z +CZARTORYSKI S AA2 R T AO0 R IY1 S K IY0 +CZECH CH EH1 K +CZECHOSLOVAK CH EH2 K AH0 S L OW1 V AA0 K +CZECHOSLOVAKIA CH EH2 K AH0 S L OW0 V AA1 K IY0 AH0 +CZECHOSLOVAKIA'S CH EH2 K AH0 S L OW0 V AA1 K IY0 AH0 Z +CZECHOSLOVAKIAN CH EH2 CH AH0 S L OW0 V AA1 K IY0 AH0 N +CZECHOSLOVAKS CH EH2 K AH0 S L OW1 V AA0 K S +CZECHOWSKI CH IH0 HH AO1 F S K IY0 +CZECHS CH EH1 K S +CZEKAJEWSKI CH EH2 K AH0 Y EH1 W S K IY0 +CZEPIEL CH EH1 P IY0 L +CZERNIAK CH ER1 N IY0 AE0 K +CZERNY CH ER1 N IY0 +CZERWINSKI CH ER0 V IH1 N S K IY0 +CZERWONKA CH ER0 V AA1 NG K AH0 +CZESLAW CH 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EH2 K T R IH1 S AH0 T EY2 +D'ELECTRICITE(2) D AH0 L EH2 K T R IH1 S IH2 T EY2 +D'ESCOTO D EH0 S K OW1 T OW0 +D'ESTAING D AH0 S T EY1 NG +D'ETAT D EH1 T AE2 T +D'ETAT(2) D EY2 T AA1 +D'ETATS D EY2 T AA1 Z +D'ETRE D EH1 T R IY0 +D'ETUDE D EH1 T UW1 D +D'GENETTA D IY0 JH AH0 N EH1 T AH0 +D'IVOIRE D IY0 V W AA1 R +D'OEUVRE D ER1 V +D'OEUVRES D ER1 V Z +D'OR D AO1 R +D'ORSAY D AO2 R S EY1 +D'S D IY1 Z +D'SOUZA D IH0 S UW1 Z AH0 +D'SOUZA(2) D IY0 S UW1 Z AH0 +D. D IY1 +D.'S D IY1 Z +D.C. D IY2 S IY1 +D.S D IY1 Z +DA D AA1 +DA(2) D IY1 EY1 +DA'S D IY1 EY1 Z +DAANE D AA1 N +DAARMSTADT D AA1 R M S T AA0 D +DAAS D AA1 S +DAB D AE1 B +DABAH D AE1 B AH0 +DABAH(2) D AH0 B AA1 +DABBING D AE1 B IH0 NG +DABBLE D AE1 B AH0 L +DABBLED D AE1 B AH0 L D +DABBLES D AE1 B AH0 L Z +DABBLING D AE1 B AH0 L IH0 NG +DABBLING(2) D AE1 B L IH0 NG +DABBS D AE1 B Z +DABCHICK D AE1 B CH IH0 K +DABHOL D AE1 B OW0 L +DABKOWSKI D AH0 B K AO1 F S K IY0 +DABNEY D AE1 B N IY0 +DABROWSKI D AH0 B R AO1 F S K IY0 +DAC D AE1 K +DACE D EY1 S +DACEY D EY1 S IY0 +DACHA D AA1 CH AH0 +DACHAU D AE1 K AW0 +DACHSHUND D AA1 K S HH UH2 N D +DACHSHUNDS D AA1 K S HH UH2 N T S +DACIA D EY1 SH IY0 AH0 +DACK D AE1 K +DACOSTA D AA0 K OW1 S T AH0 +DACQUISTO D AE1 K W IH0 S T OW0 +DACRON D AE1 K R AA2 N +DACRUZ D AA1 K R UW0 Z +DACS D AE1 K S +DACTYL D AE1 K T IH0 L +DACUNHA D AH0 K AH1 N HH AH0 +DACUS D AE1 K IH0 S +DACY D EY1 S IY0 +DAD D AE1 D +DAD'S D AE1 D Z +DADA D AA1 D AA2 +DADAMO D AA0 D AA1 M OW0 +DADDARIO D AA0 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M AO1 R F IH0 K +DIMORPHISM D AY0 M AO1 R F IH0 Z AH0 M +DIMPERIO D IH0 M P EH1 R IY0 OW2 +DIMPLE D IH1 M P AH0 L +DIMPLED D IH1 M P AH0 L D +DIMPLES D IH1 M P AH0 L Z +DIMRY D IH1 M R IY0 +DIMS D IH1 M Z +DIMSDALE D IH1 M Z D EY2 L +DIMUNITION D IH0 M Y UW0 N IH1 SH AH0 N +DIMURO D IH0 M UH1 R OW2 +DIMUZIO D IH0 M UW1 Z IY0 OW2 +DIN D IH1 N +DINA D IY1 N AH0 +DINAH D AY1 N AH0 +DINAN D IH1 N AH0 N +DINAPOLI D IH0 N AE1 P AH0 L IY2 +DINAR D IH0 N AA1 R +DINARDO D IH0 N AA1 R D OW2 +DINARS D AY1 N ER0 Z +DINARS(2) D IH2 N AA1 R Z +DINATALE D IH0 N AA0 T AA1 L IY2 +DINATALE(2) D IY0 N AA0 T AA1 L IY0 +DINDA D IH1 N D AH0 +DINE D AY1 N +DINED D AY1 N D +DINEEN D IH0 N IY1 N +DINEHART D AY1 N HH AA2 R T +DINER D AY1 N ER0 +DINERS D AY1 N ER0 Z +DINES D AY1 N Z +DINESH D IH1 N EH0 SH +DING D IH1 NG +DING-DONG D IH1 NG D AO1 NG +DINGEE D IH1 NG G IY0 +DINGEL D IH1 NG G AH0 L +DINGELL D IH1 NG G AH0 L +DINGELL'S D IH1 NG G AH0 L Z +DINGER D IH1 NG ER0 +DINGES D IH1 N JH IH0 Z +DINGESS D IH1 NG G IH0 S +DINGHAM D IH1 NG AH0 M +DINGHY D IH1 NG IY0 +DINGLE D IH1 NG G AH0 L +DINGLEDINE D IH1 NG G AH0 L D AY0 N +DINGLER D IH1 NG G AH0 L ER0 +DINGLER(2) D IH1 NG G L ER0 +DINGLEY D IH1 NG G L IY0 +DINGMAN D IH1 NG M AH0 N +DINGO D IH1 NG G OW0 +DINGS D IH1 NG Z +DINGUS D IH1 NG G IH0 S +DINGWALL D IH1 NG G W AH0 L +DINGY D IH1 N JH IY0 +DINH D IH1 N +DINI D IY1 N IY0 +DINICOLA D IH0 N IY0 K OW1 L AA0 +DINING D AY1 N IH0 NG +DININO D IH0 N IY1 N OW2 +DINIUS D AY1 N IY0 IH0 S +DINK D IH1 NG K +DINKEL D IH1 NG K AH0 L +DINKINS D IH1 NG K IH0 N Z +DINKINS' D IH1 NG K IH0 N Z +DINKY D IH1 NG K IY0 +DINMUKHAMED D IH2 N M UW0 K AA1 M EH0 D +DINNEEN D IH0 N IY1 N +DINNER D IH1 N ER0 +DINNER'S D IH1 N ER0 Z +DINNERS D IH1 N ER0 Z +DINNERTIME D IH1 N ER0 T AY2 M +DINNERWARE D IH1 N ER0 W EH2 R +DINNING D IH1 N IH0 NG +DINO D IY1 N OW0 +DINOSAUR D AY1 N AH0 S AO2 R +DINOSAURS D AY1 N AH0 S AO2 R Z +DINOSEB D AY1 N OW0 S EH2 B +DINOTO D IH0 N OW1 T OW2 +DINOTOPIA D AY2 N AH0 T OW1 P IY0 AH0 +DINOVO D IH0 N OW1 V OW2 +DINSA D IH1 N S AH0 +DINSDALE D IH1 N Z D EY2 L +DINSE D IH1 N S +DINSMORE D IY1 N S M AO0 R +DINT D IH1 N T +DINUNZIO D IH0 N AH1 N Z IY0 OW2 +DINWIDDIE D IH1 N W IH0 D IY0 +DIOCESAN D AY0 AA1 S AH0 S AH0 N +DIOCESE D AY1 AH0 S IY2 Z +DIOCESE(2) D AY1 AH0 S AH0 S +DIOCESES D AY1 AH0 S IY2 Z +DIOCESES(2) D AY1 AH0 S IY2 Z AH0 Z +DIODATI D IY2 OW0 D AA1 T IY2 +DIODATO D IY2 OW0 D AA1 T OW2 +DIODE D AY1 OW2 D +DIODES D AY1 OW2 D Z +DIOGUARDI D IY0 OW0 G AA1 R D IY2 +DION D AY1 AH0 N +DION(2) D IY1 AO2 N +DIONA D IY0 OW1 N AH0 +DIONE D IY1 AA0 N +DIONISIO D AY2 AH0 N IH1 S IY0 OW2 +DIONNE D IY1 AA0 N +DIONYSIAN D AY2 AH0 N IH1 S IY0 AH0 N +DIONYSIUS D AY2 AH0 N IH1 S IY0 AH0 S +DIOR D IY2 AO1 R +DIORIO D IY0 AO1 R IY0 OW2 +DIORITE D AY1 ER0 AY2 T +DIOS D IY1 OW0 S +DIOS' D IY1 OW0 S +DIOS'S D IY1 OW0 S IH0 Z +DIOXIDE D AY0 AA1 K S AY2 D +DIOXIDES D AY0 AA1 K S AY0 D Z +DIOXIN D AY2 AA1 K S IH0 N +DIOXINS D AY2 AA1 K S IH0 N Z +DIP D IH1 P +DIPALMA D IH0 P AA1 L M AH0 +DIPANJAN D AH0 P AA1 N JH AH2 N +DIPAOLA D IH0 P AA0 OW1 L AH0 +DIPAOLO D IH0 P AA0 OW1 L OW2 +DIPASQUALE D IH0 P AA0 S K W AA1 L IY2 +DIPASQUALE(2) D IY0 P AA0 S K W AA1 L IY0 +DIPERNA D IH0 P EH1 R N AH0 +DIPHTHERIA D IH0 F TH IH1 R IY0 AA0 +DIPHTHONG D IH1 F TH AO2 NG +DIPIAZZA D IH0 P IY0 AA1 T S AA2 +DIPIAZZA(2) D IY0 P IY0 AA1 T S AA2 +DIPIERO D IH0 P IH1 R OW2 +DIPIERRO D IH0 P IH1 R OW2 +DIPIETRO D IH0 P IY1 T R OW2 +DIPINTO D IH0 P IH1 N T OW2 +DIPIRRO D IH0 P IH1 R OW2 +DIPLOMA D IH0 P L OW1 M AA0 +DIPLOMACY D IH0 P L OW1 M AH0 S IY0 +DIPLOMAS D IH0 P L OW1 M AH0 Z +DIPLOMAT D IH1 P L AH0 M AE2 T +DIPLOMAT'S D IH1 P L AH0 M AE2 T S +DIPLOMATIC D IH2 P L AH0 M AE1 T IH0 K +DIPLOMATICALLY D IH2 P L AH0 M AE1 T IH0 K L IY0 +DIPLOMATS D IH1 P L AH0 M AE2 T S +DIPLOMATS' D IH1 P L AH0 M AE2 T S +DIPOLE D AY1 P OW2 L +DIPPED D IH1 P T +DIPPEL D IH1 P AH0 L +DIPPER D IH1 P ER0 +DIPPERS D IH1 P ER0 Z +DIPPING D IH1 P IH0 NG +DIPPLE D IH1 P AH0 L +DIPPOLD D IH1 P OW2 L D +DIPPOLITO D IH0 P OW0 L IY1 T OW2 +DIPPY D IH1 P IY0 +DIPRIMA D IH0 P R IY1 M AH0 +DIPS D IH1 P S +DIPSHIT D IH1 P SH IH2 T +DIPSTICK D IH1 P S T IH2 K +DIRCKS D ER1 K S +DIRE D AY1 R +DIRE(2) D AY1 ER0 +DIRECT D ER0 EH1 K T +DIRECT(2) D AY0 R EH1 K T +DIRECT(3) D IH0 R EH1 K T +DIRECTED D ER0 EH1 K T AH0 D +DIRECTED(2) D ER0 EH1 K T IH0 D +DIRECTED(3) D AY0 R EH1 K T IH0 D +DIRECTED(4) D IH0 R EH1 K T IH0 D +DIRECTING D ER0 EH1 K T IH0 NG +DIRECTING(2) D IY0 R EH1 K T IH0 NG +DIRECTING(3) D AY0 R EH1 K T IH0 NG +DIRECTING(4) D IH0 R EH1 K T IH0 NG +DIRECTION D ER0 EH1 K SH AH0 N +DIRECTION(2) D IY0 R EH1 K SH IH0 N +DIRECTION(3) D AY0 R EH1 K SH IH0 N +DIRECTION(4) D IH0 R EH1 K SH IH0 N +DIRECTIONAL D ER0 EH1 K SH AH0 N AH0 L +DIRECTIONAL(2) D IY0 R EH1 K SH IH0 N AH0 L +DIRECTIONAL(3) D AY0 R EH1 K SH IH0 N AH0 L +DIRECTIONAL(4) D IH0 R EH1 K SH IH0 N AH0 L +DIRECTIONLESS D ER0 EH1 K SH AH0 N L AH0 S +DIRECTIONLESS(2) D IY0 R EH1 K SH IH0 N L AH0 S +DIRECTIONLESS(3) D AY0 R EH1 K SH IH0 N L AH0 S +DIRECTIONLESS(4) D IH0 R EH1 K SH IH0 N L AH0 S +DIRECTIONS D ER0 EH1 K SH AH0 N Z +DIRECTIONS(2) D IY0 R EH1 K SH IH0 N Z +DIRECTIONS(3) D AY0 R EH1 K SH IH0 N Z +DIRECTIONS(4) D IH0 R EH1 K SH IH0 N Z +DIRECTIVE D ER0 EH1 K T IH0 V +DIRECTIVE(2) D IY0 R EH1 K T IH0 V +DIRECTIVE(3) D AY0 R EH1 K T IH0 V +DIRECTIVE(4) D IH0 R EH1 K T IH0 V +DIRECTIVES D AY0 R EH1 K T IH0 V Z +DIRECTIVES(2) D IY0 R EH1 K T IH0 V Z +DIRECTIVES(3) D ER0 EH1 K T IH0 V Z +DIRECTIVES(4) D IH0 R EH1 K T IH0 V Z +DIRECTLY D ER0 EH1 K T L IY0 +DIRECTLY(2) D IY0 R EH1 K L IY0 +DIRECTLY(3) D AY0 R EH1 K L IY0 +DIRECTLY(4) D IH0 R EH1 K L IY0 +DIRECTNESS D ER0 EH1 K T N AH0 S +DIRECTNESS(2) D IY0 R EH1 K N AH0 S +DIRECTNESS(3) D AY0 R EH1 K N AH0 S +DIRECTNESS(4) D IH0 R EH1 K N AH0 S +DIRECTOR D ER0 EH1 K T ER0 +DIRECTOR(2) D AY0 R EH1 K T ER0 +DIRECTOR(3) D IY0 R EH1 K T ER0 +DIRECTOR(4) D IH0 R EH1 K T ER0 +DIRECTOR'S D AY0 R EH1 K T ER0 Z +DIRECTOR'S(2) D ER0 EH1 K T ER0 Z +DIRECTOR'S(3) D IY0 R EH1 K T ER0 Z +DIRECTOR'S(4) D IH0 R EH1 K T ER0 Z +DIRECTORAL D ER0 EH1 K T ER0 AH0 L +DIRECTORATE D ER0 EH1 K T ER0 AH0 T +DIRECTORATE(2) D AY0 R EH1 K T ER0 AH0 T +DIRECTORATE(3) D IY0 R EH1 K T ER0 AH0 T +DIRECTORATE(4) D IH0 R EH1 K T ER0 AH0 T +DIRECTORIAL D ER0 EH0 K T AO1 R IY0 AH0 L +DIRECTORIAL(2) D AY0 R EH0 K T AO1 R IY0 AH0 L +DIRECTORIAL(3) D IY0 R EH0 K T AO1 R IY0 AH0 L +DIRECTORIAL(4) D IH0 R EH0 K T AO1 R IY0 AH0 L +DIRECTORIES D AY0 R EH1 K T ER0 IY0 Z +DIRECTORIES(2) D ER0 EH1 K T ER0 IY0 Z +DIRECTORIES(3) D IY0 R EH1 K T ER0 IY0 Z +DIRECTORIES(4) D IH0 R EH1 K T ER0 IY0 Z +DIRECTORS D ER0 EH1 K T ER0 Z +DIRECTORS(2) D AY0 R EH1 K T ER0 Z +DIRECTORS(3) D IY0 R EH1 K T ER0 Z +DIRECTORS(4) D IH0 R EH1 K T ER0 Z +DIRECTORS' D IH0 R EH1 K T ER0 Z +DIRECTORS'(2) D ER0 EH1 K T ER0 Z +DIRECTORS'(3) D IY0 R EH1 K T ER0 Z +DIRECTORSHIP D ER0 EH1 K T ER0 SH IH2 P +DIRECTORSHIP(2) D AY0 R EH1 K T ER0 SH IH2 P +DIRECTORSHIP(3) D IY0 R EH1 K T ER0 SH IH2 P +DIRECTORSHIP(4) D IH0 R EH1 K T ER0 SH IH2 P +DIRECTORSHIPS D ER0 EH1 K T ER0 SH IH2 P S +DIRECTORSHIPS(2) D AY0 R EH1 K T ER0 SH IH2 P S +DIRECTORSHIPS(3) D IY0 R EH1 K T ER0 SH IH2 P S +DIRECTORSHIPS(4) D IH0 R EH1 K T ER0 SH IH2 P S +DIRECTORY D ER0 EH1 K T ER0 IY0 +DIRECTORY(2) D AY0 R EH1 K T ER0 IY0 +DIRECTORY(3) D IY0 R EH1 K T ER0 IY0 +DIRECTORY(4) D IH0 R EH1 K T ER0 IY0 +DIRECTS D ER0 EH1 K T S +DIRECTS(2) D AY0 R EH1 K T S +DIRECTS(3) D IY0 R EH1 K T S +DIRECTS(4) D IH0 R EH1 K T S +DIRECTV D ER0 EH1 K T IY1 V IY1 +DIRECTV(2) D AY0 R EH1 K T IY1 V IY1 +DIRECTV(3) D IY0 R EH1 K T IY1 V IY1 +DIRECTV(4) D IH0 R EH1 K T IY1 V IY1 +DIRENZO D IH0 R EH1 N Z OW2 +DIREST D AY1 R AH0 S T +DIRGE D ER1 JH +DIRHAMS D ER1 AH0 M Z +DIRICKSON D IH1 R IH2 K S AH0 N +DIRIENZO D IH0 R IY1 N Z OW2 +DIRK D ER1 K +DIRKES D ER1 K S +DIRKS D ER1 K S +DIRKSE D ER1 K S +DIRKSEN D ER1 K S AH0 N +DIRLAM D ER0 L AE1 M +DIROCCO D IH0 R AA1 K OW2 +DIROSA D IH0 R OW1 S AA0 +DIRR D ER1 +DIRT D ER1 T +DIRT'S D ER1 T S +DIRTIER D ER1 T IY0 ER0 +DIRTIEST D ER1 T IY0 AH0 S T +DIRTY D ER1 T IY0 +DIRUSSO D IH0 R UW1 S OW2 +DIS D IH1 S +DISA D IH1 S AH0 +DISABATINO D IH0 S AA0 B AA0 T IY1 N OW0 +DISABATO D IH0 S AA0 B AA1 T OW0 +DISABILITIES D IH0 S AH0 B IH1 L AH0 T IY0 Z +DISABILITIES(2) D IH0 S AH0 B IH1 L IH0 T IY0 Z +DISABILITY D IH2 S AH0 B IH1 L IH0 T IY0 +DISABILITY(2) D IH0 S AH0 B IH1 L IH0 T IY0 Z +DISABLE D IH0 S EY1 B AH0 L +DISABLED D IH0 S EY1 B AH0 L D +DISABLES D IH0 S EY1 B AH0 L Z +DISABLING D IH0 S EY1 B AH0 L IH0 NG +DISABLING(2) D IH2 S EY1 B L IH0 NG +DISABUSE D IH0 S AH0 B Y UW1 S +DISABUSE(2) D IH0 S AH0 B Y UW1 Z +DISABUSED D IH0 S AH0 B Y UW1 Z D +DISABUSES D IH0 S AH0 B Y UW1 S IH0 Z +DISADVANTAGE D IH2 S AH0 D V AE1 N T IH0 JH +DISADVANTAGE(2) D IH2 S AH0 D V AE1 N IH0 JH +DISADVANTAGED D IH0 S AH0 D V AE1 N T IH0 JH D +DISADVANTAGED(2) D IH2 S AH0 D V AE1 N IH0 JH D +DISADVANTAGEOUS D IH2 S AE2 D V AE2 N T EY1 JH AH0 S +DISADVANTAGES D IH2 S AH0 D V AE1 N T IH0 JH IH0 Z +DISADVANTAGES(2) D IH2 S AH0 D V AE1 N IH0 JH Z +DISAFFECT D IH2 S AH0 F EH1 K T +DISAFFECTED D IH2 S AH0 F EH1 K T IH0 D +DISAFFECTION D IH2 S AH0 F EH1 K SH AH0 N +DISAGREE D IH0 S AH0 G R IY1 +DISAGREEABLE D IH2 S AH0 G R IY1 AH0 B AH0 L +DISAGREED D IH0 S AH0 G R IY1 D +DISAGREEING D IH0 S AH0 G R IY1 IH0 NG +DISAGREEMENT D IH0 S AH0 G R IY1 M AH0 N T +DISAGREEMENTS D IH2 S AH0 G R IY1 M AH0 N T S +DISAGREES D IH0 S AH0 G R IY1 Z +DISALLOW D IH2 S AH0 L AW1 +DISALLOWANCE D IH2 S AH0 L AW1 AH0 N S +DISALLOWANCES D IH2 S AH0 L AW1 AH0 N S IH0 Z +DISALLOWED D IH2 S AH0 L AW1 D +DISALLOWING D IH0 S AH0 L AW1 IH0 NG +DISALVO D IH0 S AA1 L V OW2 +DISANO D IH0 S AA1 N OW0 +DISANTI D IH0 S AE1 N T IY2 +DISANTIS D IH0 S AA1 N T IH0 S +DISANTO D IH0 S AE1 N T OW2 +DISAPPEAR D IH2 S AH0 P IH1 R +DISAPPEAR(2) D IH2 S AH0 P IY1 R +DISAPPEARANCE D IH2 S AH0 P IH1 R AH0 N S +DISAPPEARANCE(2) D IH2 S AH0 P IY1 R AH0 N S +DISAPPEARANCES D IH2 S AH0 P IH1 R AH0 N S IH0 Z +DISAPPEARANCES(2) D IH2 S AH0 P IY1 R AH0 N S IH0 Z +DISAPPEARED D IH2 S AH0 P IH1 R D +DISAPPEARED(2) D IH2 S AH0 P IY1 R D +DISAPPEARING D IH2 S AH0 P IH1 R IH0 NG +DISAPPEARING(2) D IH2 S AH0 P IY1 R IH0 NG +DISAPPEARS D IH2 S AH0 P IH1 R Z +DISAPPEARS(2) D IH2 S AH0 P IY1 R Z +DISAPPOINT D IH2 S AH0 P OY1 N T +DISAPPOINTED D IH2 S AH0 P OY1 N T IH0 D +DISAPPOINTED(2) D IH2 S AH0 P OY1 N IH0 D +DISAPPOINTING D IH2 S AH0 P OY1 N T IH0 NG +DISAPPOINTING(2) D IH2 S AH0 P OY1 N IH0 NG +DISAPPOINTINGLY D IH0 S AH0 P OY1 N T IH0 NG L IY0 +DISAPPOINTINGLY(2) D IH0 S AH0 P OY1 N IH0 NG L IY0 +DISAPPOINTMENT D IH2 S AH0 P OY1 N T M AH0 N T +DISAPPOINTMENTS D IH0 S AH0 P OY1 N T M AH0 N T S +DISAPPOINTS D IH2 S AH0 P OY1 N T S +DISAPPROVAL D IH0 S AH0 P R UW1 V AH0 L +DISAPPROVE D IH2 S AH0 P R UW1 V +DISAPPROVED D IH2 S AH0 P R UW1 V D +DISAPPROVES D IH0 S AH0 P R UW1 V Z +DISAPPROVING D IH0 S AH0 P R UW1 V IH0 NG +DISARM D IH0 S AA1 R M +DISARMAMENT D IH0 S AA1 R M AH0 M AH0 N T +DISARMED D IH0 S AA1 R M D +DISARMING D IH0 S AA1 R M IH0 NG +DISARMINGLY D IH0 S AA1 R M IH0 NG L IY0 +DISARRAY D IH2 S ER0 EY1 +DISARRAY(2) D IH2 S AH0 R EY1 +DISASSEMBLE D IH2 S AH0 S EH1 M B AH0 L +DISASSEMBLED D IH2 S AH0 S EH1 M B AH0 L D +DISASSOCIATE D IH2 S AH0 S OW1 SH IY0 EY0 T +DISASSOCIATE(2) D IH2 S AH0 S OW1 S IY0 EY0 T +DISASSOCIATED D IH2 S AH0 S OW1 SH IY0 EY0 T AH0 D +DISASSOCIATED(2) D IH2 S AH0 S OW1 S IY0 EY0 T AH0 D +DISASTER D IH0 Z AE1 S T ER0 +DISASTERS D IH0 Z AE1 S T ER0 Z +DISASTROUS D IH0 Z AE1 S T R AH0 S +DISASTROUSLY D IH0 Z AE1 S T R AH0 S L IY0 +DISAVOW D IH2 S AH0 V AW1 +DISAVOWED D IH2 S AH0 V AW1 D +DISAVOWING D IH0 S AH0 V AW1 IH0 NG +DISBAND D IH0 S B AE1 N D +DISBANDED D IH0 S B AE1 N D IH0 D +DISBANDING D IH0 S B AE1 N D IH0 NG +DISBAR D IH2 S B AA1 R +DISBARMENT D IH2 S B AA1 R M AH0 N T +DISBARRED D IH0 S B AA1 R D +DISBELIEF D IH2 S B IH0 L IY1 F +DISBELIEVE D IH0 S B AH0 L IY1 V +DISBELIEVING D IH0 S B AH0 L IY1 V IH0 NG +DISBRO D IH1 S B R OW0 +DISBROW D IH1 S B R AW0 +DISBURSE D IH0 S B ER1 S +DISBURSED D IH0 S B ER1 S T +DISBURSEMENT D IH0 S B ER1 S M AH0 N T +DISBURSEMENTS D IH0 S B ER1 S M AH0 N T S +DISBURSING D IH0 S B ER1 S IH0 NG +DISC D IH1 S K +DISCARD D IH0 S K AA1 R D +DISCARDED D IH0 S K AA1 R D IH0 D +DISCARDING D IH0 S K AA1 R D IH0 NG +DISCARDS D IH0 S K AA1 R D Z +DISCENZA D IH0 S CH EH1 N Z AA0 +DISCERN D IH0 S ER1 N +DISCERNABLY D IH0 S ER1 N AH0 B L IY0 +DISCERNED D IH0 S ER1 N D +DISCERNIBLE D IH0 S ER1 N AH0 B AH0 L +DISCERNING D IH0 S ER1 N IH0 NG +DISCERNMENT D IH0 S ER1 N M AH0 N T +DISCERNS D IH0 S ER1 N Z +DISCH D IH1 SH +DISCHARGE D IH0 S CH AA1 R JH +DISCHARGE(2) D IH1 S CH AA2 R JH +DISCHARGED D IH0 S CH AA1 R JH D +DISCHARGED(2) D IH1 S CH AA2 R JH D +DISCHARGES D IH0 S CH AA1 R JH AH0 Z +DISCHARGES(2) D IH1 S CH AA2 R JH AH0 Z +DISCHARGING D IH0 S CH AA1 R JH IH0 NG +DISCHARGING(2) D IH1 S CH AA2 R JH IH0 NG +DISCHER D IH1 SH ER0 +DISCHINGER D IH1 SH IH0 N JH ER0 +DISCIPLE D IH0 S AY1 P AH0 L +DISCIPLES D IH0 S AY1 P AH0 L Z +DISCIPLINARIAN D IH2 S IH0 P L IH0 N EH1 R IY0 AH0 N +DISCIPLINARIANS D IH2 S IH0 P L IH0 N EH1 R IY0 AH0 N Z +DISCIPLINARY D IH1 S AH0 P L AH0 N EH2 R IY0 +DISCIPLINE D IH1 S AH0 P L AH0 N +DISCIPLINED D IH1 S AH0 P L AH0 N D +DISCIPLINES D IH1 S AH0 P L AH0 N Z +DISCIPLINING D IH1 S AH0 P L AH0 N IH0 NG +DISCLAIM D IH0 S K L EY1 M +DISCLAIMED D IH0 S K L EY1 M D +DISCLAIMER D IH0 S K L EY1 M ER0 +DISCLAIMERS D IH0 S K L EY1 M ER0 Z +DISCLAIMING D IH0 S K L EY1 M IH0 NG +DISCLAIMS D IH0 S K L EY1 M Z +DISCLAND D IH1 S K L AE2 N D +DISCLOSE D IH0 S K L OW1 Z +DISCLOSED D IH0 S K L OW1 Z D +DISCLOSES D IH0 S K L OW1 Z IH0 Z +DISCLOSING D IH0 S K L OW1 Z IH0 NG +DISCLOSURE D IH0 S K L OW1 ZH ER0 +DISCLOSURES D IH0 S K L OW1 ZH ER0 Z +DISCO D IH1 S K OW0 +DISCOGRAPHY D IH0 S K AO1 G R AH0 F IY0 +DISCOLOR D IH0 S K AH1 L ER0 +DISCOLORATION D IH0 S K AH2 L ER0 EY1 SH AH0 N +DISCOLORATIONS D IH0 S K AH2 L ER0 EY1 SH AH0 N Z +DISCOLORED D IH0 S K AH1 L ER0 D +DISCOLORS D IH0 S K AH1 L ER0 Z +DISCOMBOBULATE D IH2 S K AH0 M B AO1 B Y UW0 L EY0 T +DISCOMBOBULATED D IH2 S K AH0 M B AO1 B Y UW0 L EY0 T AH0 D +DISCOMBOBULATES D IH2 S K AH0 M B AO1 B Y UW0 L EY0 T S +DISCOMBOBULATING D IH2 S K AH0 M B AO1 B Y UW0 L EY0 T IH0 NG +DISCOMFORT D IH0 S K AH1 M F ER0 T +DISCONCERT D IH2 S K AH0 N S ER1 T +DISCONCERTING D IH2 S K AH0 N S ER1 T IH0 NG +DISCONNECT D IH0 S K AH0 N EH1 K T +DISCONNECTED D IH2 S K AH0 N EH1 K T IH0 D +DISCONNECTING D IH2 S K AH0 N EH1 K T IH0 NG +DISCONNECTION D IH2 S K AH0 N EH1 K SH AH0 N +DISCONNECTS D IH0 S K AH0 N EH1 K T S +DISCONTENT D IH0 S K AH0 N T EH1 N T +DISCONTENTED D IH2 S K AH0 N T EH1 N T IH0 D +DISCONTENTEDLY D IH2 S K AH0 N T EH1 N T IH0 D L IY0 +DISCONTENTEDNESS D IH2 S K AH0 N T EH1 N T IH0 D N AH0 S +DISCONTENTS D IH2 S K AH0 N T EH1 N T S +DISCONTINUANCE D IH2 S K AH0 N T IH1 N Y UW0 AH0 N S +DISCONTINUATION D IH2 S K AH0 N T IH2 N Y UW0 EY1 SH AH0 N +DISCONTINUE D IH0 S K AH0 N T IH1 N Y UW0 +DISCONTINUED D IH0 S K AH0 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EH1 N S +DISPENSED D IH0 S P EH1 N S T +DISPENSER D IH0 S P EH1 N S ER0 +DISPENSERS D IH0 S P EH1 N S ER0 Z +DISPENSES D IH0 S P EH1 N S IH0 Z +DISPENSING D IH0 S P EH1 N S IH0 NG +DISPENZA D IH0 S P EH1 N Z AH0 +DISPERSAL D IH0 S P ER1 S AH0 L +DISPERSANT D IH2 S P ER1 S AH0 N T +DISPERSANTS D IH2 S P ER1 S AH0 N T S +DISPERSE D IH0 S P ER1 S +DISPERSED D IH0 S P ER1 S T +DISPERSING D IH0 S P ER1 S IH0 NG +DISPERSION D IH0 S P ER1 ZH AH0 N +DISPERSIVE D IH0 S P ER1 S IH0 V +DISPIRITED D IH0 S P IH1 R AH0 T IH0 D +DISPIRITING D IH0 S P IH1 R IH0 T IH0 NG +DISPLACE D IH0 S P L EY1 S +DISPLACED D IH0 S P L EY1 S T +DISPLACEMENT D IH0 S P L EY1 S M AH0 N T +DISPLACEMENTS D IH0 S P L EY1 S M AH0 N T S +DISPLACES D IH0 S P L EY1 S IH0 Z +DISPLACING D IH0 S P L EY1 S IH0 NG +DISPLAY D IH0 S P L EY1 +DISPLAYED D IH0 S P L EY1 D +DISPLAYING D IH0 S P L EY1 IH0 NG +DISPLAYS D IH0 S P L EY1 Z +DISPLAYWRITE D IH0 S P L EY1 R AY2 T +DISPLAYWRITER D IH0 S P L EY1 R AY2 T ER0 +DISPLEASE D IH0 S P L IY1 Z +DISPLEASED D IH0 S P L IY1 Z D +DISPLEASURE D IH0 S P L EH1 ZH ER0 +DISPOSABLE D IH0 S P OW1 Z AH0 B AH0 L +DISPOSABLES D IH0 S P OW1 Z AH0 B AH0 L Z +DISPOSAL D IH0 S P OW1 Z AH0 L +DISPOSALS D IH0 S P OW1 Z AH0 L Z +DISPOSE D IH0 S P OW1 Z +DISPOSED D IH0 S P OW1 Z D +DISPOSER D IH0 S P OW1 Z ER0 +DISPOSES D IH0 S P OW1 Z IH0 Z +DISPOSING D IH0 S P OW1 Z IH0 NG +DISPOSITION D IH2 S P AH0 Z IH1 SH AH0 N +DISPOSITIONS D IH2 S P AH0 Z IH1 SH AH0 N Z +DISPOSITIVE D IH2 S P AA1 Z AH0 T IH0 V +DISPOSSESS D IH2 S P AH0 Z EH1 S +DISPOSSESSED D IH2 S P AH0 Z EH1 S T +DISPROPORTIONATE D IH2 S P R AH0 P AO1 R SH AH0 N IH0 T +DISPROPORTIONATELY D IH2 S P R AH0 P AO1 R SH AH0 N AH0 T L IY0 +DISPROVE D IH0 S P R UW1 V +DISPROVED D IH0 S P R UW1 V D +DISPROVEN D IH0 S P R UW1 V IH0 N +DISPROVES D IH0 S P R UW1 V Z +DISPUTABLE D IH0 S P Y UW1 T AH0 B AH0 L +DISPUTATION D IH0 S P Y UW1 T EY1 SH AH0 N +DISPUTE D IH0 S P Y UW1 T +DISPUTED D IH0 S P Y UW1 T AH0 D +DISPUTED(2) D IH0 S P Y UW1 T IH0 D +DISPUTES D IH0 S P Y UW1 T S +DISPUTING D IH0 S P Y UW1 T IH0 NG +DISQUALIFICATION D IH0 S K W AA2 L AH0 F AH0 K EY1 SH AH0 N +DISQUALIFIED D IH0 S K W AA1 L AH0 F AY2 D +DISQUALIFIES D IH0 S K W AA1 L AH0 F AY2 Z +DISQUALIFY D IH0 S K W AA1 L AH0 F AY2 +DISQUALIFYING D IH0 S K W AA1 L AH0 F AY2 IH0 NG +DISQUE D IH1 S K +DISQUIET D IH0 S K W AY1 AH0 T +DISQUIETING D IH0 S K W AY1 AH0 T IH0 NG +DISRAELI D IH0 Z R EY1 L IY0 +DISREGARD D IH2 S R IH0 G AA1 R D +DISREGARDED D IH2 S R IH0 G AA1 R D IH0 D +DISREGARDING D IH2 S R IH0 G AA1 R D IH0 NG +DISREGARDS D IH2 S R IH0 G AA1 R D Z +DISREPAIR D IH2 S R IH0 P EH1 R +DISREPUTABLE D IH0 S R EH1 P Y AH0 T AH0 B AH0 L +DISREPUTE D IH2 S R IH0 P Y UW1 T +DISRESPECT D IH2 S R IH0 S P EH1 K T +DISRESPECTED D IH2 S R IH0 S P EH1 K T IH0 D +DISRESPECTFUL D IH2 S R IH0 S P EH1 K T F AH0 L +DISRESPECTING D IH2 S R IH0 S P EH1 K T IH0 NG +DISRESPECTS D IH2 S R IH0 S P EH1 K T S +DISRUPT D IH0 S R AH1 P T +DISRUPTED D IH0 S R AH1 P T IH0 D +DISRUPTING D IH0 S R AH1 P T IH0 NG +DISRUPTION D IH0 S R AH1 P SH AH0 N +DISRUPTIONS D IH0 S R AH1 P SH AH0 N Z +DISRUPTIVE D IH0 S R AH1 P T IH0 V +DISRUPTS D IH0 S R AH1 P T S +DISS D IH1 S +DISSATISFACTION D IH2 S AE0 T IH0 S F AE1 K SH AH0 N +DISSATISFIED D IH0 S AE1 T AH0 S F AY2 D +DISSATISFY D IH0 S AE1 T AH0 S F AY2 +DISSECT D AY0 S EH1 K T +DISSECTED D AY0 S EH1 K T AH0 D +DISSECTING D AY0 S EH1 K T IH0 NG +DISSECTION D AY0 S EH1 K SH AH0 N +DISSECTION(2) D AY1 S EH0 K SH AH0 N +DISSECTIONS D AY0 S EH1 K SH AH0 N Z +DISSECTIONS(2) D AY1 S EH0 K SH AH0 N Z +DISSECTS D AY0 S EH1 K T S +DISSECTS(2) D AY0 S EH1 K S +DISSEMBLE D IH0 S EH1 M B AH0 L +DISSEMBLING D IH0 S EH1 M B L IH0 NG +DISSEMINATE D IH0 S EH1 M AH0 N EY2 T +DISSEMINATED D IH0 S EH1 M AH0 N EY2 T AH0 D +DISSEMINATES D IH0 S EH1 M AH0 N EY2 T S +DISSEMINATING D IH0 S EH1 M AH0 N EY2 T IH0 NG +DISSEMINATION D IH0 S EH2 M AH0 N EY1 SH AH0 N +DISSENSION D IH0 S EH1 N SH AH0 N +DISSENT D IH0 S EH1 N T +DISSENTED D IH0 S EH1 N T IH0 D +DISSENTED(2) D IH0 S EH1 N IH0 D +DISSENTER D IH0 S EH1 N T ER0 +DISSENTERS D IH0 S EH1 N T ER0 Z +DISSENTERS(2) D IH0 S EH1 N ER0 Z +DISSENTING D IH0 S EH1 N T IH0 NG +DISSENTING(2) D IH0 S EH1 N IH0 NG +DISSENTS D IH0 S EH1 N T S +DISSERTATION D IH2 S ER0 T EY1 SH AH0 N +DISSERVICE D IH0 S ER1 V AH0 S +DISSIDENCE D IH1 S AH0 D AH0 N S +DISSIDENT D IH1 S AH0 D AH0 N T +DISSIDENTS D IH1 S AH0 D AH0 N T S +DISSIDENTS' D IH1 S AH0 D AH0 N T S +DISSIMILAR D IH0 S IH1 M AH0 L ER0 +DISSIMILARITY D IH2 S IH2 M AH0 L AE1 R AH0 T IY0 +DISSING D IH1 S IH0 NG +DISSINGER D IH1 S IH0 N JH ER0 +DISSIPATE D IH1 S AH0 P EY2 T +DISSIPATED D IH1 S AH0 P EY2 T IH0 D +DISSIPATES D IH1 S AH0 P EY2 T S +DISSIPATING D IH1 S AH0 P EY2 T IH0 NG +DISSIPATION D IH2 S IH0 P EY1 SH AH0 N +DISSIPATIVE D IH1 S AH0 P EY2 T IH0 V +DISSOCIATE D IH0 S OW1 S IY0 EY0 T +DISSOCIATION D IH0 S OW2 S IY0 EY1 SH AH0 N +DISSOLUTION D IH2 S AH0 L UW1 SH AH0 N +DISSOLVE D IH0 Z AA1 L V +DISSOLVED D IH0 Z AA1 L V D +DISSOLVER D IH0 Z AA1 L V ER0 +DISSOLVERS D IH0 Z AA1 L V ER0 Z +DISSOLVES D IH0 Z AA1 L V Z +DISSOLVING D IH0 Z AO1 L V IH0 NG +DISSONANCE D IH1 S AH0 N AH0 N S +DISSONANT D IH1 S AH0 N AH0 N T +DISSUADE D IH0 S W EY1 D +DISSUADED D IH0 S W EY1 D IH0 D +DISSYMMETRIC D IH2 S IH0 M EH1 T R IH0 K +DISSYMMETRY D IH0 S IH1 M AH0 T R IY0 +DISTAD D IH1 S T AH0 D +DISTAL D IH1 S T AH0 L +DISTANCE D IH1 S T AH0 N S +DISTANCED D IH1 S T AH0 N S T +DISTANCES D IH1 S T AH0 N S AH0 Z +DISTANCES(2) D IH1 S T AH0 N S IH0 Z +DISTANCING D IH1 S T AH0 N S IH0 NG +DISTANT D IH1 S T AH0 N T +DISTASI D IH0 S T AA1 S IY0 +DISTASIO D IH0 S T AA1 S IY0 OW0 +DISTASTE D IH0 S T EY1 S T +DISTASTEFUL D IH0 S T EY1 S T F AH0 L +DISTEFANO D IH0 S T EH0 F AA1 N OW0 +DISTEL D IH1 S T AH0 L +DISTEMPER D IH0 S T EH1 M P ER0 +DISTEND D IH0 S T EH1 N D +DISTENDED D IH0 S T EH1 N D IH0 D +DISTIL D IH0 S T IH1 L +DISTILL D IH0 S T IH1 L +DISTILLATE D IH1 S T AH0 L EY2 T +DISTILLATE(2) D IH1 S T AH0 L AH0 T +DISTILLATES D IH1 S T AH0 L EY2 T S +DISTILLATION D IH2 S T AH0 L EY1 SH AH0 N +DISTILLED D IH0 S T IH1 L D +DISTILLER D IH0 S T IH1 L ER0 +DISTILLER'S D IH0 S T IH1 L ER0 Z +DISTILLERIES D IH0 S T IH1 L ER0 IY0 Z +DISTILLERS D IH0 S T IH1 L ER0 Z +DISTILLERS' D IH0 S T IH1 L ER0 Z +DISTILLERS'S D IH0 S T IH1 L ER0 Z IH0 Z +DISTILLERY D IH0 S T IH1 L ER0 IY0 +DISTILLING D IH0 S T IH1 L IH0 NG +DISTILLS D IH0 S T IH1 L Z +DISTINCT D IH0 S T IH1 NG K T +DISTINCTION D IH0 S T IH1 NG K SH AH0 N +DISTINCTIONS D IH0 S T IH1 NG K SH AH0 N Z +DISTINCTIVE D IH0 S T IH1 NG K T IH0 V +DISTINCTIVELY D IH0 S T IH1 NG K T IH0 V L IY0 +DISTINCTIVENESS D IH0 S T IH1 NG K T IH0 V N AH0 S +DISTINCTLY D IH0 S T IH1 NG K T L IY0 +DISTINGUISH D IH0 S T IH1 NG G W IH0 SH +DISTINGUISHABLE D IH0 S T IH1 NG G W IH0 SH AH0 B AH0 L +DISTINGUISHED D IH0 S T IH1 NG G W IH0 SH T +DISTINGUISHES D IH0 S T IH1 NG G W IH0 SH IH0 Z +DISTINGUISHING D IH0 S T IH1 NG G W IH0 SH IH0 NG +DISTLER D IH1 S T L ER0 +DISTORT D IH0 S T AO1 R T +DISTORTED D IH0 S T AO1 R T AH0 D +DISTORTED(2) D IH0 S T AO1 R T IH0 D +DISTORTING D IH0 S T AO1 R T IH0 NG +DISTORTION D IH0 S T AO1 R SH AH0 N +DISTORTIONS D IH0 S T AO1 R SH AH0 N Z +DISTORTS D IH0 S T AO1 R T S +DISTRACT D IH0 S T R AE1 K T +DISTRACTED D IH0 S T R AE1 K T AH0 D +DISTRACTED(2) D IH0 S T R AE1 K T IH0 D +DISTRACTING D IH0 S T R AE1 K T IH0 NG +DISTRACTION D IH0 S T R AE1 K SH AH0 N +DISTRACTIONS D IH0 S T R AE1 K SH AH0 N Z +DISTRACTS D IH0 S T R AE1 K T S +DISTRAUGHT D IH0 S T R AO1 T +DISTRESS D IH0 S T R EH1 S +DISTRESSED D IH0 S T R EH1 S T +DISTRESSES D IH0 S T R EH1 S IH0 Z +DISTRESSING D IH0 S T R EH1 S IH0 NG +DISTRESSINGLY D IH0 S T R EH1 S IH0 NG L IY0 +DISTRIBUTE D IH0 S T R IH1 B Y UW0 T +DISTRIBUTED D IH0 S T R IH1 B Y AH0 T AH0 D +DISTRIBUTES D IH0 S T R IH1 B Y UW0 T S +DISTRIBUTING D IH0 S T R IH1 B Y UW0 T IH0 NG +DISTRIBUTION D IH2 S T R AH0 B Y UW1 SH AH0 N +DISTRIBUTIONS D IH2 S T R AH0 B Y UW1 SH AH0 N Z +DISTRIBUTIVE D IH0 S T R IH1 B Y UW0 T IH0 V +DISTRIBUTOR D IH0 S T R IH1 B Y AH0 T ER0 +DISTRIBUTOR'S D IH0 S T R IH1 B Y UW0 T ER0 Z +DISTRIBUTORS D IH0 S T R IH1 B Y AH0 T ER0 Z +DISTRIBUTORS' D IH0 S T R IH1 B Y AH0 T ER0 Z +DISTRIBUTORSHIP D IH0 S T R IH1 B Y UW0 T ER0 SH IH2 P +DISTRIBUTORSHIPS D IH0 S T R IH1 B Y UW0 T ER0 SH IH2 P S +DISTRICT D IH1 S T R IH0 K T +DISTRICT'S D IH1 S T R IH0 K T S +DISTRICTING D IH1 S T R IH0 K T IH0 N G +DISTRICTS D IH1 S T R IH0 K T S +DISTRIGAS D IH0 S T R IY1 G AH0 S +DISTRON D IH1 S T R AA2 N +DISTRUST D IH0 S T R AH1 S T +DISTRUSTED D IH0 S T R AH1 S T AH0 D +DISTRUSTED(2) D IH0 S T R AH1 S T IH0 D +DISTRUSTFUL D IH0 S T R AH1 S T F AH0 L +DISTRUSTS D IH0 S T R AH1 S T S +DISTURB D IH0 S T ER1 B +DISTURBANCE D IH0 S T ER1 B AH0 N S +DISTURBANCES D IH0 S T ER1 B AH0 N S AH0 Z +DISTURBANCES(2) D IH0 S T ER1 B AH0 N S IH0 Z +DISTURBED D IH0 S T ER1 B D +DISTURBING D IH0 S T ER1 B IH0 NG +DISTURBINGLY D IH0 S T ER1 B IH0 NG L IY0 +DISTURBS D IH0 S T ER1 B Z +DISUNION D IH0 S Y UW1 N Y AH0 N +DISUNITY D IH0 S Y UW1 N AH0 T IY0 +DISUSE D IH0 S Y UW1 S +DITCH D IH1 CH +DITCHED D IH1 CH T +DITCHES D IH1 CH AH0 Z +DITCHES(2) D IH1 CH IH0 Z +DITCHING D IH1 CH IH0 NG +DITH D IH1 TH +DITHER D IH1 DH ER0 +DITHERING D IH1 DH ER0 IH0 NG +DITHERS D IH1 DH ER0 Z +DITHYRAMB D IH1 TH ER0 AE2 M +DITKA D IH1 T K AH0 +DITKA'S D IH1 T K AH0 Z +DITLOW D IH1 T L OW0 +DITMARS D IH1 T M ER0 Z +DITMER D IH1 T M ER0 +DITMORE D IH1 T M AO0 R +DITOMASSO D IH0 T OW0 M AA1 S OW2 +DITOMMASO D IH0 T OW0 M AA1 S OW2 +DITSY D IH1 T S IY0 +DITTBERNER D IH1 T B ER0 N ER0 +DITTEMORE D IH0 T EH1 M AO0 R +DITTER D IH1 T ER0 +DITTIES D IH1 T IY0 Z +DITTMAN D IH1 T M AH0 N +DITTMANN D IH1 T M AH0 N +DITTMAR D IH1 T M ER0 +DITTMER D IH1 T M ER0 +DITTO D IH1 T OW0 +DITTOHEAD D IH1 T OW0 HH EH2 D +DITTON D IH1 T AH0 N +DITTRICH D IH1 T R IH0 K +DITTUS D IH1 T AH0 S +DITTY D IH1 T IY0 +DITULLIO D IH0 T AH1 L IY0 OW2 +DITZEL D IH1 T Z AH0 L +DITZLER D IH1 T S L ER0 +DIURETIC D AY2 UW0 R EH1 T IH0 K +DIURETICS D AY2 UW0 R EH1 T IH0 K S +DIURNAL D AY0 ER1 N AH0 L +DIURNALLY D AY0 ER1 N AH0 L IY0 +DIVA D IY1 V AH0 +DIVAD D IH1 V AE0 D +DIVALENT D AY0 V EY1 L AH0 N T +DIVALL D IH1 V AH0 L +DIVAN D IH0 V AE1 N +DIVAS D IY1 V AH0 Z +DIVE D AY1 V +DIVED D AY1 V D +DIVELBISS D IH0 V EH1 L B IH0 S +DIVELEY D IH1 V IH0 L IY0 +DIVELY D AY1 V L IY0 +DIVEN D AY1 V AH0 N +DIVENS D AY1 V AH0 N Z +DIVER D AY1 V ER0 +DIVER'S D AY1 V ER0 Z +DIVERGE D IH0 V ER1 JH +DIVERGED D AY0 V ER1 JH D +DIVERGENCE D AY0 V ER1 JH AH0 N S +DIVERGENCE(2) D IH0 V ER1 JH AH0 N S +DIVERGENCES D AY0 V ER1 JH AH0 N S IH0 Z +DIVERGENT D AY0 V ER1 JH AH0 N T +DIVERGENT(2) D IH0 V ER1 JH AH0 N T +DIVERGES D AY0 V ER1 JH IH0 Z +DIVERGING D AY0 V ER1 JH IH0 NG +DIVERS D AY1 V ER0 Z +DIVERSE D AY0 V ER1 S +DIVERSE(2) D IH0 V ER1 S +DIVERSICARE D IH1 V ER0 S IH0 K EH2 R +DIVERSIFICATION D AY0 V ER2 S AH0 F AH0 K EY1 SH AH0 N +DIVERSIFICATION(2) D IH0 V ER2 S AH0 F AH0 K EY1 SH AH0 N +DIVERSIFICATIONS D AY0 V ER2 S AH0 F AH0 K EY1 SH AH0 N Z +DIVERSIFICATIONS(2) D IH0 V ER2 S AH0 F AH0 K EY1 SH AH0 N Z +DIVERSIFIED D AY0 V ER1 S AH0 F AY2 D +DIVERSIFIED(2) D IH0 V ER1 S AH0 F AY2 D +DIVERSIFY D AY0 V ER1 S AH0 F AY2 +DIVERSIFY(2) D IH0 V ER1 S AH0 F AY2 +DIVERSIFYING D AY0 V ER1 S AH0 F AY2 IH0 NG +DIVERSIFYING(2) D IH0 V ER1 S AH0 F AY2 IH0 NG +DIVERSION D AY0 V ER1 ZH AH0 N +DIVERSION(2) D IH0 V ER1 ZH AH0 N +DIVERSIONARY D AY0 V ER1 ZH AH0 N EH2 R IY0 +DIVERSIONARY(2) D IH0 V ER1 ZH AH0 N EH2 R IY0 +DIVERSIONS D IH0 V ER1 ZH AH0 N Z +DIVERSIONS(2) D AY0 V ER1 ZH AH0 N Z +DIVERSITY D IH0 V ER1 S IH0 T IY0 +DIVERSITY(2) D AY0 V ER1 S IH0 T IY0 +DIVERT D AY0 V ER1 T +DIVERT(2) D IH0 V ER1 T +DIVERTED D AY0 V ER1 T IH0 D +DIVERTED(2) D IH0 V ER1 T IH0 D +DIVERTICULA D AY2 V ER0 T IH1 K Y AH0 L AH0 +DIVERTICULUM D AY2 V ER0 T IH1 K Y AH0 L AH0 M +DIVERTIMENTO D IH0 V ER2 T AH0 M EH1 N T OW2 +DIVERTING D AY0 V ER1 T IH0 NG +DIVERTING(2) D IH0 V ER1 T IH0 NG +DIVERTS D AY0 V ER1 T S +DIVERTS(2) D IH0 V ER1 T S +DIVES D AY1 V Z +DIVEST D AY0 V EH1 S T +DIVEST(2) D IH0 V EH1 S T +DIVESTED D AY0 V EH1 S T IH0 D +DIVESTING D AY0 V EH1 S T IH0 NG +DIVESTITURE D IH0 V EH1 S T IH0 CH ER0 +DIVESTITURE(2) D AY0 V EH1 S T IH0 CH ER0 +DIVESTITURES D IH0 V EH1 S T IH0 CH ER0 Z +DIVESTITURES(2) D AY0 V EH1 S T IH0 CH ER0 Z +DIVESTMENT D AY0 V EH1 S T M AH0 N T +DIVESTMENT(2) D AY0 V EH1 S M AH0 N T +DIVESTMENT(3) D IH0 V EH1 S M AH0 N T +DIVESTMENTS D AY0 V EH1 S T M AH0 N T S +DIVESTMENTS(2) D AY0 V EH1 S M AH0 N T S +DIVESTMENTS(3) D IH0 V EH1 S M AH0 N T S +DIVESTS D AY0 V EH1 S T S +DIVI D IY1 V IY0 +DIVIDE D IH0 V AY1 D +DIVIDED D IH0 V AY1 D IH0 D +DIVIDEND D IH1 V IH0 D EH2 N D +DIVIDEND'S D IH1 V AH0 D EH2 N D Z +DIVIDENDS D IH1 V AH0 D EH2 N D Z +DIVIDER D IH0 V AY1 D ER0 +DIVIDES D IH0 V AY1 D Z +DIVIDING D IH0 V AY1 D IH0 NG +DIVINATION D IH2 V AH0 N EY1 SH AH0 N +DIVINCENZO D IH0 V IY0 N CH EH1 N Z OW0 +DIVINE D IH0 V AY1 N +DIVINELY D IH0 V AY1 N L IY0 +DIVINEY D IH1 V IH0 N IY0 +DIVING D AY1 V IH0 NG +DIVINING D AH0 V AY1 N IH0 NG +DIVINITAS D IH2 V IH0 N IY1 T AH0 S +DIVINITIES D IH0 V IH1 N AH0 T IY0 Z +DIVINITY D IH0 V IH1 N AH0 T IY0 +DIVIRGILIO D IH0 V IH0 R JH IY1 L IY0 OW2 +DIVIS D IY1 V IH0 S +DIVISIBLE D IH0 V IH1 Z AH0 B AH0 L +DIVISION D IH0 V IH1 ZH AH0 N +DIVISION'S D IH0 V IH1 ZH AH0 N Z +DIVISIONAL D IH0 V IH1 ZH AH0 N AH0 L +DIVISIONS D IH0 V IH1 ZH AH0 N Z +DIVISIONS' D IH0 V IH1 ZH AH0 N Z +DIVISIVE D IH0 V AY1 S IH0 V +DIVISIVENESS D IH0 V AY1 S IH0 V N AH0 S +DIVISON D IH0 V IH1 ZH AH0 N +DIVISON(2) D IH0 V IH1 S AH0 N +DIVISOR D IH0 V AY1 Z ER0 +DIVITA D IH0 V IY1 T AH0 +DIVITO D IH0 V IY1 T OW0 +DIVORCE D IH0 V AO1 R S +DIVORCED D IH0 V AO1 R S T +DIVORCEE D AH0 V AO1 R S IY2 +DIVORCEE(2) D AH0 V AO1 R S EY2 +DIVORCES D IH0 V AO1 R S IH0 Z +DIVORCING D IH0 V AO1 R S IH0 NG +DIVULGE D IH0 V AH1 L JH +DIVULGE(2) D AY0 V AH1 L JH +DIVULGED D IH0 V AH1 L JH D +DIVULGED(2) D AY0 V AH1 L JH D +DIVULGING D IH0 V AH1 L JH IH0 NG +DIVULGING(2) D AY0 V AH1 L JH IH0 NG +DIVVIED D IH1 V IY0 D +DIVVY D IH1 V IY0 +DIWA D IY1 W AH0 +DIWALI D IH0 W AA1 L IY0 +DIX D IH1 K S +DIXIE D IH1 K S IY0 +DIXIELAND D IH1 K S IY0 L AE2 N D +DIXON D IH1 K S AH0 N +DIXON'S D IH1 K S AH0 N Z +DIXONS D IH1 K S AH0 N Z +DIXSON D IH1 K S AH0 N +DIXVILLE D IH1 K S V IH0 L +DIXY D IH1 K S IY0 +DIZON D IH1 Z AH0 N +DIZZINESS D IH1 Z IY0 N AH0 S +DIZZY D IH1 Z IY0 +DIZZYING D IH1 Z IY0 IH0 NG +DJ D IY1 JH EY1 +DJAKARTA JH AH0 K AA1 R T AH0 +DJAKARTA'S JH AH0 K AA1 R T AH0 Z +DJIBOUTI JH IH0 B UW1 T IY2 +DJUKANOVIC JH UW0 K AE1 N AH0 V IH0 K +DJUKANOVIC(2) JH AH0 K AE1 N AH0 V IH0 CH +DJURDJEVIC JH ER1 JH AH0 V IH0 K +DK D IY1 K EY1 +DLOUHY D AH0 L AW1 IY0 +DLUGOS D AH0 L UW1 G OW0 S +DLUGOSZ D AH0 L UW1 G OW0 S +DLUGOSZ(2) D AH0 L UW1 G OW0 SH +DMITRI D AH0 M IY1 T R IY0 +DMITRI(2) D M IY1 T R IY0 +DMZ D IY1 EH2 M Z IY2 +DNA D IY1 EH2 N EY1 +DNASE D IY1 EH2 N EY2 S +DNASE(2) D IY1 EH2 N EY2 Z +DNC D IY1 EH2 N S IY2 +DNIESTER D N IY1 S T ER0 +DNS D IY2 EH2 N EH1 S 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+DOWNSIZES D AW1 N S AY2 Z IH0 Z +DOWNSIZING D AW1 N S AY2 Z IH0 NG +DOWNSIZINGS D AW1 N S AY2 Z IH0 NG Z +DOWNSTAGE D AW1 N S T EY2 JH +DOWNSTAIRS D AW1 N S T EH1 R Z +DOWNSTATE D AW1 N S T EY2 T +DOWNSTREAM D AW1 N S T R IY1 M +DOWNSWING D AW1 N S W IH2 NG +DOWNTIME D AW1 N T AY2 M +DOWNTOWN D AW1 N T AW1 N +DOWNTOWN'S D AW1 N T AW1 N Z +DOWNTOWNS D AW1 N T AW1 N Z +DOWNTREND D AW1 N T R EH2 N D +DOWNTRODDEN D AW2 N T R AA1 D AH0 N +DOWNTURN D AW1 N T ER2 N +DOWNTURNS D AW1 N T ER2 N Z +DOWNUM D AW1 N AH0 M +DOWNVOTE D AW1 N V OW1 T +DOWNVOTED D AW1 N V OW1 T IH0 D +DOWNVOTES D AW1 N V OW1 T S +DOWNVOTING D AW1 N V OW1 T IH0 NG +DOWNWARD D AW1 N W ER0 D +DOWNWARDLY D AW1 N W ER0 D L IY0 +DOWNWARDS D AW1 N W ER0 D Z +DOWNWIND D AW0 N W IH1 N D +DOWNY D AW1 N IY0 +DOWRY D AW1 R IY0 +DOWSE D AW1 S +DOWSING D AW1 S IH0 NG +DOWSMAN D AW1 Z M AH0 N +DOWTY D AW1 T IY0 +DOXEY D AA1 K S IY0 +DOXIE D AA1 K S IY0 +DOXOLOGIES D AA0 K S AA1 L AH0 JH IY0 Z +DOXOLOGY D AA0 K S AA1 L AH0 JH IY0 +DOXTATER D AA1 K S T EY0 T ER0 +DOXY D AA1 K S IY0 +DOYAL D OY0 AA1 L +DOYEL D OY1 AH0 L +DOYEN D OY1 IH0 N +DOYENNE D OY2 EH1 N +DOYLE D OY1 L +DOYLE'S D OY1 L Z +DOYON D OY1 AH0 N +DOZE D OW1 Z +DOZED D OW1 Z D +DOZEN D AH1 Z AH0 N +DOZENS D AH1 Z AH0 N Z +DOZES D OW1 Z IH0 Z +DOZIER D OW1 Z IY0 ER0 +DOZING D OW1 Z IH0 NG +DQALPHA D IY1 K Y UW1 AE1 L F AH0 +DR D R AY1 V +DR(2) D AA1 K T ER0 +DR. D R AY1 V +DR.(2) D AA1 K T ER0 +DRAB D R AE1 B +DRABBED D R AE1 B D +DRABBLE D R AE1 B AH0 L +DRABEK D R AE1 B IH0 K +DRABENSTOTT D R AH0 B EH1 N S T AH0 T +DRABIK D R AA1 B IH0 K +DRABINSKY D R AH0 B IH1 N S K IY0 +DRABKIN D R AE1 B K IH2 N +DRABS D R AE1 B Z +DRACE D R EY1 S +DRACH D R AE1 CH +DRACHENBERG D R AE1 K AH0 N B ER0 G +DRACHMA D R AE1 K M AH0 +DRACHMAS D R AA1 K M AH0 Z +DRACKETT D R AE1 K IH0 T +DRACO D R EY1 K OW0 +DRACO(2) D R AE1 K OW0 +DRACONIAN D R EY0 K OW1 N IY0 AH0 N +DRACONIAN(2) D R AH0 K OW1 N IY0 AH0 N +DRACULA D R AE1 K Y UW0 L AH0 +DRAEGER D R EH1 G ER0 +DRAFFEN D R AE1 F AH0 N +DRAFT D R AE1 F T +DRAFT'S D R AE1 F T S +DRAFTED D R AE1 F T IH0 D +DRAFTEE D R AE1 F T IY1 +DRAFTEES D R AE1 F T IY1 Z +DRAFTER D R AE1 F T ER0 +DRAFTERS D R AE1 F T ER0 Z +DRAFTING D R AE1 F T IH0 NG +DRAFTS D R AE1 F T S +DRAFTSMAN D R AE1 F T S M AH0 N +DRAFTSMANSHIP D R AE1 F T S M AH0 N SH IH2 P +DRAFTSMEN D R AE1 F T S M AH0 N +DRAFTY D R AE1 F T IY0 +DRAG D R AE1 G +DRAGAN D R AA1 G AH0 N +DRAGE D R EY1 JH +DRAGER D R EY1 G ER0 +DRAGGED D R AE1 G D +DRAGGING D R AE1 G IH0 NG +DRAGGY D R AE1 G IY0 +DRAGLINE D R AE1 G L AY2 N +DRAGNET D R AE1 G N EH2 T +DRAGNETS D R AE1 G N EH2 T S +DRAGO D R AA1 G OW0 +DRAGON D R AE1 G AH0 N +DRAGON'S D R AE1 G AH0 N Z +DRAGONAIR D R AE1 G AH0 N EH2 R +DRAGONE D R AH0 G OW1 N +DRAGONHEAD D R AE1 G AH0 N HH EH2 D +DRAGONHEART D R AE1 G AH0 N HH AA2 R T +DRAGONS D R AE1 G AH0 N Z +DRAGOO D R AA1 G UW0 +DRAGOVICH D R AE1 G AH0 V IH0 CH +DRAGS D R AE1 G Z +DRAHEIM D R AE1 HH AY0 M +DRAHOS D R EY1 HH OW0 Z +DRAHUSCHAK D R AE1 HH AH0 SH AE0 K +DRAHUSCHAK(2) D R AH0 HH UW1 SH AH0 K +DRAIN D R EY1 N +DRAINAGE D R EY1 N AH0 JH +DRAINAGE(2) D R EY1 N IH0 JH +DRAINE D R EY1 N +DRAINED D R EY1 N D +DRAINER D R EY1 N ER0 +DRAINERS D R EY1 N ER0 Z +DRAINING D R EY1 N IH0 NG +DRAINS D R EY1 N Z +DRAKE D R EY1 K +DRAKEFORD D R AE1 K F AO0 R D +DRAKES D R EY1 K S +DRAKOS D R EY1 K OW0 Z +DRALLE D R EY1 L +DRAM D R AE1 M +DRAM(2) D IY1 R AE2 M +DRAMA D R AA1 M AH0 +DRAMAMINE D R AE1 M AH0 M IY2 N +DRAMAS D R AA1 M AH0 Z +DRAMATIC D R AH0 M AE1 T IH0 K +DRAMATICALLY D R AH0 M AE1 T IH0 K L IY0 +DRAMATICALLY(2) D R AH0 M AE1 T IH0 K AH0 L IY0 +DRAMATICS D R AH0 M AE1 T IH0 K S +DRAMATIST D R AA1 M AH0 T IH0 S T +DRAMATIZATION D R AE2 M AH0 T AH0 Z EY1 SH AH0 N +DRAMATIZATIONS D R AE2 M AH0 T AH0 Z EY1 SH AH0 N Z +DRAMATIZE D R AA1 M AH0 T AY2 Z +DRAMATIZE(2) D R AE1 M AH0 T AY2 Z +DRAMATIZED D R AE1 M AH0 T AY2 Z D +DRAMATIZES D R AE1 M AH0 T AY2 Z IH0 Z +DRAMATIZING D R AE1 M AH0 T AY2 Z IH0 NG +DRAMATURGY D R AA1 M AH0 T ER0 JH IY0 +DRAMS D R AE1 M Z +DRAMS(2) D IY1 R AE2 M Z +DRANE D R EY1 N +DRANEY D R EY1 N IY0 +DRANG D R AE1 NG +DRANK D R AE1 NG K +DRANSFIELD D R AE1 N S F IY2 L D +DRAPE D R EY1 P +DRAPEAU D R AH0 P OW1 +DRAPED D R EY1 P T +DRAPER D R EY1 P ER0 +DRAPERIES D R EY1 P ER0 IY0 Z +DRAPERY D R EY1 P ER0 IY0 +DRAPES D R EY1 P S +DRAPING D R EY1 P IH0 NG +DRAPKIN D R AE1 P K IH0 N +DRASNER D R AE1 S N ER0 +DRASTIC D R AE1 S T IH0 K +DRASTICALLY D R AE1 S T IH0 K L IY0 +DRAUGHN D R AO1 N +DRAUGHON D R AO1 AH0 N +DRAUGHT D R AE1 F T +DRAUGHTS D R AE1 F T S +DRAUS D R AO1 Z +DRAVECKY D R AH0 V EH1 K IY0 +DRAVES D R EY1 V Z +DRAVIS D R AE1 V IH0 S +DRAVO D R AE1 V OW0 +DRAVO'S D R AE1 V OW0 Z +DRAW D R AO1 +DRAWBACK D R AO1 B AE2 K +DRAWBACKS D R AO1 B AE2 K S +DRAWBAUGH D R AO1 B AO2 +DRAWBRIDGE D R AO1 B R IH2 JH +DRAWDOWN D R AO1 D AW2 N +DRAWDOWNS D R AO1 D AW2 N Z +DRAWDY D R AO1 D IY0 +DRAWER D R AO1 R +DRAWERS D R AO1 R Z +DRAWING D R AO1 IH0 NG +DRAWINGS D R AO1 IH0 NG Z +DRAWL D R AO1 L +DRAWLED D R AO1 L D +DRAWLS D R AO1 L Z +DRAWN D R AO1 N +DRAWS D R AO1 Z +DRAY D R EY1 +DRAYER D R EY1 ER0 +DRAYTON D R EY1 T AH0 N +DRAYTON'S D R EY1 T AH0 N Z +DREAD D R EH1 D +DREADED D R EH1 D IH0 D +DREADFUL D R EH1 D F AH0 L +DREADFULLY D R EH1 D F AH0 L IY0 +DREADING D R EH1 D IH0 NG +DREADNOUGHT D R EH1 D N AO2 T +DREADS D R EH1 D Z +DREAM D R IY1 M +DREAMED D R IY1 M D +DREAMER D R IY1 M ER0 +DREAMERS D R IY1 M ER0 Z +DREAMING D R IY1 M IH0 NG +DREAMLAND D R IY1 M L AE2 N D +DREAMLIKE D R IY1 M L AY2 K +DREAMS D R IY1 M Z +DREAMT D R EH1 M T +DREAMWORKS D R IY1 M W ER2 K S +DREAMWORKS' D R IY1 M W ER2 K S +DREAMWORLD D R IY1 M W ER2 L D +DREAMY D R IY1 M IY0 +DREARINESS D R IY1 R IY0 N AH0 S +DREARY D R IH1 R IY0 +DREBSKY D R EH1 B S K IY0 +DRECHSEL D R EH1 K S AH0 L +DRECHSLER D R EH1 K S AH0 L ER0 +DRECHSLER(2) D R EH1 K S L ER0 +DRED D R EH1 D +DREDD D R EH1 D +DREDGE D R EH1 JH +DREDGED D R EH1 JH D +DREDGES D R EH1 JH AH0 Z +DREDGES(2) D R EH1 JH IH0 Z +DREDGING D R EH1 JH IH0 NG +DREES D R IY1 Z +DREESE D R IY1 Z +DREESSEN D R IY1 S AH0 N +DREGER D R EH1 G ER0 +DREGS D R EH1 G Z +DREHER D R EH1 R +DREIBELBIS D R AY1 B IH0 L B IH0 S +DREIER D R AY1 ER0 +DREIGHTON D R AY1 T IH0 N +DREILING D R AY1 L IH0 NG +DREIS D R IY1 Z +DREISBACH D R AY1 S B AA2 K +DREMAN D R IY1 M AH0 N +DRENCH D R EH1 N CH +DRENCHED D R EH1 N CH T +DRENCHES D R EH1 N CH AH0 Z +DRENCHING D R EH1 N CH IH0 NG +DRENNAN D R EH1 N AH0 N +DRENNEN D R EH1 N AH0 N +DRENNING D R EH1 N IH0 NG +DRENNON D R EH1 N AH0 N +DRENTH D R EH1 N TH +DREPUNG D R EY1 P AH2 NG +DREPUNG(2) D R EY2 P AO1 NG +DRESBACH D R EH1 S B AA2 K +DRESCH D R EH1 SH +DRESCHER D R EH1 SH ER0 +DRESDEN D R EH1 Z D IH0 N +DRESDNER D R EH1 Z D N ER0 +DRESDNER'S D R EH1 Z D N ER0 Z +DRESEN D R IY1 Z AH0 N +DRESHER D R EH1 SH ER0 +DRESNER D R EH1 Z N ER0 +DRESS D R EH1 S +DRESSAGE D R EH0 S AA1 ZH +DRESSED D R EH1 S T +DRESSEL D R EH1 S AH0 L +DRESSEN D R EH1 S AH0 N +DRESSER D R EH1 S ER0 +DRESSER'S D R EH1 S ER0 Z +DRESSERS D R EH1 S ER0 Z +DRESSES D R EH1 S AH0 Z +DRESSES(2) D R EH1 S IH0 Z +DRESSIER D R EH1 S IY0 ER0 +DRESSING D R EH1 S IH0 NG +DRESSINGS D R EH1 S IH0 NG Z +DRESSLER D R EH1 S L ER0 +DRESSMAKER D R EH1 S M EY2 K ER0 +DRESSMAKERS D R EH1 S M EY2 K ER0 Z +DRESSMAKING D R EH1 S M EY2 K IH0 NG +DRESSY D R EH1 S IY0 +DREW D R UW1 +DREWERY D R UW1 ER0 IY0 +DREWES D R UW1 Z +DREWETT D R UW1 IH0 T +DREWRY D R UW1 R IY0 +DREWS D R UW1 Z +DREXEL D R EH1 K S AH0 L +DREXEL'S D R EH1 K S AH0 L Z +DREXLER D R EH1 K S L ER0 +DREY D R EY1 +DREYER D R EY1 ER0 +DREYFUS D R AY1 F AH0 S +DREYFUS(2) D R EY1 F AH0 S +DREYFUS'S D R EY1 F AH0 S IH0 Z +DREYFUSS D R EY1 F AH0 S +DRIBBED D R IH1 B D +DRIBBLE D R IH1 B AH0 L +DRIBBLED D R IH1 B AH0 L D +DRIBBLES D R IH1 B AH0 L Z +DRIBBLING D R IH1 B AH0 L IH0 NG +DRIBBLING(2) D R IH1 B L IH0 NG +DRIBS D R IH1 B Z +DRIED D R AY1 D +DRIEHAUS D R IY1 HH AW2 S +DRIER D R AY1 ER0 +DRIES D R AY1 Z +DRIESSEN D R IY1 S AH0 N +DRIEST D R AY1 AH0 S T +DRIEVER D R IY1 V ER0 +DRIFT D R IH1 F T +DRIFTA D R IH1 F T AH0 +DRIFTED D R IH1 F T AH0 D +DRIFTED(2) D R IH1 F T IH0 D +DRIFTER D R IH1 F T ER0 +DRIFTERS D R IH1 F T ER0 Z +DRIFTING D R IH1 F T IH0 NG +DRIFTNET D R IH1 F T N EH2 T +DRIFTS D R IH1 F T S +DRIFTWOOD D R IH1 F T W UH2 D +DRIGGERS D R IH1 G ER0 Z +DRIGGS D R IH1 G Z +DRILL D R IH1 L +DRILLBIT D R IH1 L B IH2 T +DRILLED D R IH1 L D +DRILLER D R IH1 L ER0 +DRILLERS D R IH1 L ER0 Z +DRILLING D R IH1 L IH0 NG +DRILLING'S D R IH1 L IH0 NG Z +DRILLS D R IH1 L Z +DRINA D IY1 N AH0 +DRINA'S D IY1 N AH0 Z +DRINAS D IY1 N AH0 Z +DRING D R IH1 NG +DRINK D R IH1 NG K +DRINKABLE D R IH1 N K AH0 B AH0 L +DRINKARD D R IH1 NG K ER0 D +DRINKER D R IH1 NG K ER0 +DRINKER'S D R IH1 NG K ER0 Z +DRINKERS D R IH1 NG K ER0 Z +DRINKING D R IH1 NG K IH0 NG +DRINKS D R IH1 NG K S +DRINKWATER D R IH1 NG K W AO2 T ER0 +DRINKWINE D R IH1 NG K W AY2 N +DRINNON D R IH1 N AH0 N +DRIP D R IH1 P +DRIP-DRY D R IH1 P D R AY1 +DRIPPED D R IH1 P T +DRIPPING D R IH1 P IH0 NG +DRIPPS D R IH1 P S +DRIPS D R IH1 P S +DRISCOLL D R IH1 S K AH0 L +DRISKELL D R IH1 S K AH0 L +DRISKILL D R IH1 S K IH0 L +DRIVABLE D R AY1 V AH0 B AH0 L +DRIVE D R AY1 V +DRIVE'S D R AY1 V Z +DRIVE-BY D R AY1 V B AY1 +DRIVE-THRU D R AY1 V TH R UW1 +DRIVE-THRUS D R AY1 V TH R UW1 Z +DRIVEL D R IH1 V AH0 L +DRIVEN D R IH1 V AH0 N +DRIVER D R AY1 V ER0 +DRIVER'S D R AY1 V ER0 Z +DRIVERLESS D R AY1 V ER0 L IH0 S +DRIVERS D R AY1 V ER0 Z +DRIVERS' D R AY1 V ER0 Z +DRIVES D R AY1 V Z +DRIVEWAY D R AY1 V W EY2 +DRIVEWAYS D R AY1 V W EY2 Z +DRIVING D R AY1 V IH0 NG +DRIZZLE D R IH1 Z AH0 L +DRIZZLING D R IH1 Z AH0 L IH0 NG +DRIZZLING(2) D R IH1 Z L IH0 NG +DRIZZLY D R IH1 Z L IY0 +DROBKOV D R AO1 B K AO0 V +DROBKOV(2) D R AO1 B K AO0 F +DROBNY D R AA1 B N IY0 +DRODDY D R AA1 D IY0 +DROEGE D R OW1 JH +DROESSLER D R OW1 S AH0 L ER0 +DROESSLER(2) D R OW1 S L ER0 +DROGE D R OW1 JH +DROGOUL D R OW0 G UW1 L +DROGOUL'S D R OW0 G UW1 L Z +DROGUE D R OW1 G +DROHAN D R OW1 AH0 N +DROID D R OY1 D +DROIDS D R OY1 D Z +DROKE D R OW1 K +DROLET D R OW1 L IH0 T +DROLL D R OW1 L +DROLLINGER D R OW1 L IH0 NG ER0 +DROMEDARY D R AA1 M AH0 D EH2 R IY0 +DROMER D R OW1 M ER0 +DROMEY D R OW1 M IY0 +DROMGOOLE D R AA1 M G UW2 L +DROMGOOLES D R AA0 M G UW1 L Z +DROMI D R AA1 M IY0 +DROMOMANIA D R OW2 M OW0 M EY1 N IY0 AH0 +DROMOMANIA(2) D R OW2 M OW0 M EY1 N Y AH0 +DROMON D R OW1 M AH0 N +DRONE D R OW1 N +DRONED D R OW1 N D +DRONES D R OW1 N Z +DRONET D R OW1 N IH0 T +DRONEY D R OW1 N IY0 +DRONING D R OW1 N IH0 NG +DROOL D R UW1 L +DROOLED D R UW1 L D +DROOLING D R UW1 L IH0 NG +DROOP D R UW1 P +DROOPED D R UW1 P T +DROOPING D R UW1 P IH0 NG +DROOPY D R UW1 P IY0 +DROP D R AA1 P +DROP(2) D R AO1 P +DROP-OFF D R AA1 P AO2 F +DROP-OFFS D R AA1 P AO2 F S +DROPBOX D R AA1 P B AA2 K S +DROPKIN D R AA1 P K IH0 N +DROPLET D R AA1 P L AH0 T +DROPLETS D R AA1 P L AH0 T S +DROPOFF D R AA1 P AO2 F +DROPOFFS D R AA1 P AO2 F S +DROPOUT D R AA1 P AW2 T +DROPOUTS D R AA1 P AW2 T S +DROPPED D R AA1 P T +DROPPER D R AA1 P ER0 +DROPPERS D R AA1 P ER0 Z +DROPPING D R AA1 P IH0 NG +DROPPINGS D R AA1 P IH0 NG Z +DROPS D R AA1 P S +DROPSY D R AA1 P S IY0 +DROSER D R OW1 Z ER0 +DROSS D R AO1 S +DROST D R AA1 S T +DROSTE D R OW1 S T +DROSTE(2) D R AA1 S T +DROSTE(3) D R AA1 S T AH0 +DROTAR D R OW1 T ER0 +DROUGHT D R AW1 T +DROUGHT'S D R AW1 T S +DROUGHTS D R AW1 T S +DROUILLARD D R W IY0 L AA1 R D +DROUIN D R W IY1 N +DROVE D R OW1 V +DROVER D R OW1 V ER0 +DROVES D R OW1 V Z +DROWN D R AW1 N +DROWNED D R AW1 N D +DROWNING D R AW1 N IH0 NG +DROWNINGS D R AW1 N IH0 NG Z +DROWNS D R AW1 N Z +DROWSINESS D R AW1 Z IY0 N AH0 S +DROWSY D R AW1 Z IY0 +DROZ D R AA1 Z +DROZD D R AA1 Z D +DROZDA D R AA1 Z D AH0 +DROZDOWSKI D R AH0 Z D AO1 F S K IY0 +DRU D R UW1 +DRUB D R AH1 B +DRUBBED D R AH1 B D +DRUBBING D R AH1 B IH0 NG +DRUCE D R UW1 S +DRUCIE D R AH1 K IY0 +DRUCK D R AH1 K +DRUCKENMILLER D R AH1 K IH0 N M IH2 L ER0 +DRUCKER D R AH1 K ER0 +DRUCKMAN D R AH1 K M AH0 N +DRUDGE D R AH1 JH +DRUDGERY D R AH1 JH ER0 IY0 +DRUELLA D R UW2 EH1 L AH0 +DRUG D R AH1 G +DRUG'S D R AH1 G Z +DRUGAN D R UW1 G AH0 N +DRUGGED D R AH1 G D +DRUGGING D R AH1 G IH0 NG +DRUGGIST D R AH1 G IH0 S T +DRUGGIST'S D R AH1 G AH0 S T S +DRUGGIST'S(2) D R AH1 G IH0 S T S +DRUGGISTS D R AH1 G AH0 S T S +DRUGGISTS(2) D R AH1 G IH0 S T S +DRUGMAKER D R AH1 G M EY2 K ER0 +DRUGMAKERS D R AH1 G M EY2 K ER0 Z +DRUGS D R AH1 G Z +DRUGS' D R AH1 G Z +DRUGSTORE D R AH1 G S T AO2 R +DRUGSTORES D R AH1 G S T AO2 R Z +DRUID D R UW1 IH0 D +DRUIDISM D R UW1 AH0 D IH2 Z AH0 M +DRUIDS D R UW1 IH0 D Z +DRUISILLA D R IH0 S IH1 L AH0 +DRUM D R AH1 M +DRUMBEAT D R AH1 M B IY2 T +DRUMHEAD D R AH1 M HH EH2 D +DRUMHELLER D R AH1 M HH EH2 L ER0 +DRUMLIN'S D R AH1 M L IH0 N Z +DRUMM D R AH1 M +DRUMMED D R AH1 M D +DRUMMER D R AH1 M ER0 +DRUMMERS D R AH1 M ER0 Z +DRUMMEY D R AH1 M IY0 +DRUMMING D R AH1 M IH0 NG +DRUMMOND D R AH1 M AH0 N D +DRUMMONDS D R AH1 M AH0 N D Z +DRUMRIGHT D R AH1 M R AY2 T +DRUMS D R AH1 M Z +DRUMSTICK D R AH1 M S T IH0 K +DRUMWRIGHT D R AH1 M R AY2 T +DRUNK D R AH1 NG K +DRUNKARD D R AH1 NG K ER0 D +DRUNKARDS D R AH1 NG K ER0 D Z +DRUNKEN D R AH1 NG K AH0 N +DRUNKENNESS D R AH1 NG K AH0 N N AH0 S +DRUNKS D R AH1 NG K S +DRUPE D R UW1 P +DRUPES D R UW1 P S +DRURY D R UW1 R IY0 +DRUSA D R UW1 S AH0 +DRUSE D R UW1 Z +DRUSIE D R AH1 S IY0 +DRUSILLA D R UW2 S IH1 L AH0 +DRUTHERS D R AH1 DH ER0 Z +DRUZE D R UW1 Z +DRY D R AY1 +DRYCLEAN D R AY1 K L IY2 N +DRYCLEANER D R AY1 K L IY2 N ER0 +DRYCLEANING D R AY1 K L IY2 N IH0 NG +DRYDEN D R AY1 D AH0 N +DRYE D R AY1 +DRYER D R AY1 ER0 +DRYERS D R AY1 ER0 Z +DRYING D R AY1 IH0 NG +DRYLY D R AY1 L IY0 +DRYNESS D R AY1 N AH0 S +DRYPERS D R AY1 P ER0 Z +DRYPOINT D R AY1 P OY2 N T +DRYSDALE D R AY1 Z D EY2 L +DRYSER D R AY1 S ER0 +DRYWALL D R AY1 W AA2 L +DRZEWIECKI JH UW0 IY1 T S K IY0 +DSOUZA D AH0 S UW1 Z AH0 +DSS D IY1 EH1 S EH1 S +DSV D IY1 EH1 S V IY1 +DU D UW1 +DU(2) D AH0 +DU-BOIS D UW1 B OY1 S +DUAL D UW1 AH0 L +DUAL(2) D UW1 L +DUALISM D UW1 AH0 L IH2 Z AH0 M +DUALISMS D UW1 AH0 L IH2 Z AH0 M Z +DUALIST D UW1 AH0 L IH0 S T +DUALISTIC D UW2 AH0 L IH1 S T IH0 K +DUALITY D UW0 AE1 L AH0 T IY0 +DUALS D UW1 AH0 L Z +DUAN D W AE1 N +DUAN(2) D W EY1 N +DUANA D UW0 AE1 N AH0 +DUANE D W EY1 N +DUARTE D W AA1 R T EY2 +DUARTE'S D W AA1 R T EY2 Z +DUB D AH1 B +DUBA D UW1 B AH0 +DUBACH D AH1 B AA0 K +DUBAI D UW0 B AY1 +DUBARRY D UW1 B EH2 R IY0 +DUBAS D UW1 B AH0 Z 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+DUBREUIL D AH1 B R UW0 L +DUBROC D AH1 B R AH0 K +DUBROFF D UW1 B R AO0 F +DUBROVNIK D UW0 B R AA1 V N IH0 K +DUBROVNIK'S D UW0 B R AA1 V N IH0 K Z +DUBROVNIKS D UW0 B R AA1 V N IH0 K Z +DUBROVSKY D UW0 B R AO1 F S K IY0 +DUBROVSKY(2) D UW0 B R AO1 V S K IY0 +DUBROW D AH1 B R OW2 +DUBS D AH1 B Z +DUBUC D UW1 B AH0 K +DUBUISSON D AH1 B IH0 S AH0 N +DUBUQUE D AH0 B Y UW1 K +DUBUQUE'S D AH0 B Y UW1 K S +DUBY D UW1 B IY0 +DUC D AH1 K +DUCA D UW1 K AH0 +DUCAL D UW1 K AH0 L +DUCE D UW1 S +DUCEY D AH1 S IY0 +DUCH D AH1 CH +DUCHAINE D AH0 SH EY1 N +DUCHAMP D UW0 SH AA1 M P +DUCHAMP'S D UW0 SH AA1 M P S +DUCHARME D AH0 SH AA1 R M +DUCHEMIN D AH1 SH IH0 M AE0 N +DUCHENE D AH1 K IY0 N +DUCHENNE D UW0 SH EH1 N +DUCHESNEAU D AH1 SH IH0 S N OW0 +DUCHESS D AH1 CH AH0 S +DUCHIN D UW1 CH IH0 N +DUCHON D AH1 CH AH0 N +DUCHOSSOIS D UW0 CH AO1 S W AA2 +DUCHOW D AH1 CH OW0 +DUCHY D AH1 CH IY0 +DUCK D AH1 K +DUCK'S D AH1 K S +DUCKED D AH1 K T +DUCKER D AH1 K ER0 +DUCKETT D AH1 K IH0 T +DUCKIES D AH1 K IH2 Z +DUCKING D AH1 K IH0 NG +DUCKLING D AH1 K L IH0 NG +DUCKLINGS D AH1 K L IH0 NG Z +DUCKS D AH1 K S +DUCKS' D AH1 K S +DUCKSWORTH D AH1 K S W ER2 TH +DUCKWALL D AH1 K W AO2 L +DUCKWEED D AH1 K W IY2 D +DUCKWORTH D AH1 K W ER2 TH +DUCKY D AH1 K IY2 +DUCLOS D AH0 K L OW1 Z +DUCOMMUN D UW0 K AA1 M AH0 N +DUCOMMUN(2) D UW0 K AA1 M UW1 N +DUCOTE D AH0 K OW1 T +DUCT D AH1 K T +DUCTILE D AH1 K T AH0 L +DUCTILITY D AH0 K T IH1 L AH0 T IY0 +DUCTLESS D AH1 K T L AH0 S +DUCTS D AH1 K T S +DUD D AH1 D +DUDA D UW1 D AH0 +DUDACK D UW1 D AE0 K +DUDAR D UW1 D ER0 +DUDAS D UW1 D AH0 Z +DUDASH D AH1 D AH0 SH +DUDAYEV D UW0 D AY1 EH2 V +DUDAYEV'S D UW0 D AY1 EH2 V Z +DUDD D AH1 D +DUDDING D AH1 D IH0 NG +DUDDY D AH1 D IY0 +DUDE D UW1 D +DUDECK D UW1 D EH0 K +DUDECK'S D UW1 D EH0 K S +DUDEK D UW1 D IH0 K +DUDEN D UW1 D AH0 N +DUDENHOEFFER D AH1 D IH0 N HH OW0 F ER0 +DUDES D Y UW1 D Z +DUDGEON D AH1 JH AH0 N +DUDIK D UW1 D IH0 K +DUDLEY D AH1 D L IY0 +DUDMAN D AH1 D M AH0 N +DUDNEY D AH1 D N IY0 +DUDS D AH1 D Z +DUDZIAK D AH1 JH IY0 AE0 K +DUDZIK D AH1 D Z IH0 K +DUDZINSKI D AH0 JH IH1 N S K IY0 +DUE D UW1 +DUE(2) D Y UW1 +DUECKER D UW1 K ER0 +DUEITT D UW1 AH0 T +DUEKER D UW1 K ER0 +DUEL D UW1 AH0 L +DUELED D UW1 AH0 L D +DUELING D UW1 L IH0 NG +DUELIST D UW1 AH0 L IH0 S T +DUELL JH UW1 L +DUELL(2) D UW1 L +DUELS D UW1 AH0 L Z +DUENA D UW0 EH1 N AH0 +DUENA(2) D W EY1 N Y AH0 +DUENAS D UW0 EH1 N AH0 S +DUENAS(2) D W EY1 N Y AH0 S +DUENEZ D W EH0 N EH1 Z +DUENOW D UW1 N OW0 +DUENSING D UH1 N S IH0 NG +DUER D UW1 ER0 +DUERKSEN D UH1 R K S AH0 N +DUERR D UH1 R +DUERSON D UH1 R S AH0 N +DUERST D UH1 R S T +DUES D UW1 Z +DUESBERG D UW1 Z B ER0 G +DUESING D UW1 S IH0 NG +DUESLER D UW1 S AH0 L ER0 +DUESLER(2) D UW1 S L ER0 +DUESSELDORF D UW1 S AH0 L D AO2 R F +DUET D UW0 EH1 T +DUET(2) D Y UW0 EH1 T +DUETS D UW0 EH1 T S +DUETS(2) D Y UW0 EH1 T S +DUEY D UW1 IY0 +DUEY(2) D Y UW1 IY0 +DUFAULT D AH0 F OW1 +DUFEK D UW1 F IH0 K +DUFF D AH1 F +DUFFALA D AH0 F AE1 L AH0 +DUFFEE D AH1 F IY0 +DUFFEK D AH1 F IH0 K +DUFFEL D AH1 F AH0 L +DUFFELL D AH1 F AH0 L +DUFFER D AH1 F ER0 +DUFFETT D AH1 F IH0 T +DUFFEY D AH1 F IY0 +DUFFIE D AH1 F IY0 +DUFFIELD D AH1 F IY2 L D +DUFFIN D AH1 F IH0 N +DUFFNER D AH1 F N ER0 +DUFFORD D AH1 F ER0 D +DUFFOUR D AH1 F AO0 R +DUFFUS D AH1 F AH0 S +DUFFY D AH1 F IY0 +DUFFY'S D AH1 F IY0 Z +DUFNER D AH1 F N ER0 +DUFORD D AH1 F ER0 D +DUFORT D AH1 F ER0 T +DUFOUR D AH0 F UH1 R +DUFRANE D AH0 F R EY1 N +DUFRENE D AH0 F R IY1 N +DUFRESNE D AH0 F R EH1 N +DUFUR D AH0 F ER1 +DUG D AH1 G +DUGAL D UW1 JH AH0 L +DUGALD D AH1 G AH0 L D +DUGAN D AH1 G AH0 N +DUGAR D UW1 G ER0 +DUGAS D UW1 G AH0 Z +DUGDALE D AH1 G D EY2 L +DUGGAN D AH1 G AH0 N +DUGGAR D AH1 G ER0 +DUGGER D AH1 G ER0 +DUGGIN D AH1 G IH0 N +DUGGINS D AH1 G IH0 N Z +DUGO D UW1 G OW0 +DUGOUT D AH1 G AW2 T +DUGOUTS D AH1 G AW2 T S +DUGUAY D AH1 G EY0 +DUGUID D AH1 G W IH0 D +DUH D AH1 +DUHAIME D UW1 AY0 M +DUHAMEL D UW2 HH AE1 M AH0 L +DUHART D AH1 HH AA0 R T +DUHE D UW1 HH +DUHON D UW1 HH AH0 N +DUHR D ER1 +DUI D IY1 Y UW1 AY1 +DUIGNAN D IH0 G N AE1 N +DUIS D UW1 IH0 Z +DUIS(2) D IY1 Y UW1 AY1 Z +DUISBURG D UW1 S B ER0 G +DUITSMAN D UW1 T S M AH0 N +DUK D AH1 K +DUKAKIS D UW0 K AA1 K IH0 S +DUKAKIS' D UW0 K AA1 K IH0 S +DUKAKIS'(2) D UW0 K AA1 K IH0 S IH0 Z +DUKAKIS'S D UW0 K AA1 K IH0 S IH0 Z +DUKAKISES D UW0 K AA1 K IH0 S IH0 Z +DUKART D AH1 K AA0 R T +DUKE D UW1 K +DUKE'S D UW1 K S +DUKED D UW1 K T +DUKEDOM D UW1 K D AH0 M +DUKEMAN D UW1 K M AH0 N +DUKER D UW1 K ER0 +DUKES D UW1 K S +DUKING D UW1 K IH0 NG +DULA D UW1 L AH0 +DULAC D AH0 L AE1 K +DULAK D UW1 L AH0 K +DULANEY D Y UW1 L AH0 N IY0 +DULANY D Y UW0 L AO1 N IY0 +DULAY D Y UW1 L EY0 +DULCE D AH1 L S +DULCEA D AH1 L S IY0 AH0 +DULCET D AH1 L S AH0 T +DULCIANA D UW0 L CH AE1 N AH0 +DULCIBELLE D AH1 L S IH0 B AH0 L +DULCIE D AH1 L K IY0 +DULCIMER D AH1 L S IH0 M ER0 +DULCINE D AH1 L S IH0 N +DULCINEA D AH2 L S IH0 N IY1 AH0 +DULE D UW1 L +DULEY D Y UW1 L IY0 +DULIN D UW1 L IH0 N +DULING D Y UW1 L IH0 NG +DULL D AH1 L +DULLE D AH1 L +DULLEA D AH1 L IY0 AH0 +DULLED D AH1 L D +DULLER D AH1 L ER0 +DULLES D AH1 L AH0 S +DULLEST D AH1 L AH0 S T +DULLING D AH1 L IH0 NG +DULLNESS D AH1 L N AH0 S +DULMAGE D AH1 L M AH0 JH +DULONG D Y UW1 L AO0 NG +DULSKI D AH1 L S K IY0 +DULUDE D Y UW1 L UW2 D +DULUTH D AH0 L UW1 TH +DULWICH D AH1 L W IH2 CH +DULWORTH D AH1 L W ER0 TH +DULY D UW1 L IY0 +DUM D AH1 M +DUMA D UW1 M AH0 +DUMA'S D UW1 M AH0 Z +DUMAINE D AH0 M EY1 N +DUMAIS D AH0 M EY1 +DUMAN D UW1 M AH0 N +DUMAS D UW1 M AH0 Z +DUMAS(2) D UW2 M AA1 +DUMB D AH1 M +DUMB-ASS D AH1 M B AE2 S +DUMBASS D AH1 M B AE2 S +DUMBBELL D AH1 M B EH2 L +DUMBBELLS D AH1 M B EH2 L Z +DUMBER D AH1 M ER0 +DUMBEST D AH1 M AH0 S T +DUMBFOUND D AH1 M F AW0 N D +DUMBFOUNDED D AH1 M F AW0 N D IH0 D +DUMBFOUNDING D AH1 M F AW0 N D IH0 NG +DUMBFOUNDS D AH1 M F AW0 N D Z +DUMBING D AH1 M IH0 NG +DUMBLEDORE D AH1 M B AH0 L D AO2 R +DUMBO D AH1 M B OW0 +DUMBSTRUCK D AH1 M S T R AH2 K +DUMENIL D UW1 M AH0 N IH2 L +DUMEZ D UW1 M EH0 Z +DUMFORD D AH1 M F ER0 D +DUMIRE D UW0 M IH1 R EY0 +DUMKE D AH1 M K IY0 +DUMLAO D UW1 M L AW0 +DUMLER D AH1 M L ER0 +DUMM D AH1 M +DUMMER D AH1 M ER0 +DUMMIES D AH1 M IY0 Z +DUMMITT D AH1 M IH0 T +DUMMY D AH1 M IY0 +DUMOND D AH0 M AA1 N D +DUMONT D UW0 M AA1 N T +DUMOULIN D AH1 M UW0 L AE0 N +DUMP D AH1 M P +DUMPED D AH1 M P T +DUMPER D AH1 M P ER0 +DUMPING D AH1 M P IH0 NG +DUMPLING D AH1 M P L IH0 NG +DUMPLINGS D AH1 M P L IH0 NG Z +DUMPS D AH1 M P S +DUMPSTER D AH1 M P S T ER0 +DUMPSTERS D AH1 M P S T ER0 Z +DUMPTRUCK D AH1 M P T R AH2 K +DUMPTRUCKS D AH1 M P T R AH2 K S +DUMPTY D AH1 M P T IY0 +DUMPY D AH1 M P IY0 +DUN D AH1 N +DUN'S D AH1 N Z +DUNA D UW1 N AH0 +DUNAGAN D UW0 N AA1 G AA0 N +DUNAHOO D UW0 N AA1 HH UW0 +DUNAJ D UW1 N AH0 JH +DUNAVAN D AH1 N AH0 V AE2 N +DUNAVANT D UW0 N AA1 V AH0 N T +DUNAWAY D AH1 N AH0 W EY2 +DUNAY D AH1 N EY0 +DUNBAR D AH1 N B AA0 R +DUNBLANE D AH1 N B L EY2 N +DUNC D AH1 NG K +DUNCAN D AH1 NG K AH0 N +DUNCANSON D AH1 NG K AH0 N S AH0 N +DUNCKEL D AH1 NG K AH0 L +DUNCOMBE D AH1 NG K AH0 M +DUNDAS D AH1 N D AH0 Z +DUNDEE D AH0 N D IY1 +DUNDON D AH1 N D AH0 N +DUNDORE D AH1 N D ER0 +DUNE D UW1 N +DUNEDIN D UW1 N AH0 D IH0 N +DUNEGAN D AH1 N IH0 G AE0 N +DUNES D UW1 N Z +DUNFEE D AH1 N F IY2 +DUNFORD D AH1 N F ER0 D +DUNG D AH1 NG +DUNGAN D AH1 NG G AH0 N +DUNGEON D AH1 N JH AH0 N +DUNGEONS D AH1 N JH AH0 N Z +DUNGEY D AH1 N JH IY0 +DUNHAM D AH1 N AH0 M +DUNHILL D AH1 N HH IH2 L +DUNIGAN D AH1 N IH0 G AE0 N +DUNITE D UW0 N AY1 T +DUNIVAN D AH1 N IH0 V AE0 N +DUNJA D UW1 N Y AH0 +DUNJA(2) D AH1 N JH AH0 +DUNK D AH1 NG K +DUNKED D AH1 NG K T +DUNKEL D AH1 NG K AH0 L +DUNKELBERG D AH1 NG K AH0 L B ER0 G +DUNKELBERGER D AH1 NG K AH0 L B ER0 G ER0 +DUNKER D AH1 NG K ER0 +DUNKERLEY D AH1 NG K ER0 L IY0 +DUNKIN D AH1 NG K IH0 N +DUNKIN' D AH1 NG K IH0 N +DUNKIRK D AH1 N K ER0 K +DUNKLE D AH1 NG K AH0 L +DUNKLEBERGER D AH1 NG K AH0 L B ER0 G ER0 +DUNKLEE D AH1 NG K L IY2 +DUNKLEY D AH1 NG K L IY0 +DUNKLIN D AH1 NG K L IH0 N +DUNKS D AH1 NG K S +DUNLAEVY D AH0 N L EY1 V IY0 +DUNLAP D AH1 N L AE0 P +DUNLAVEY D AH0 N L AH0 V EY1 +DUNLAVY D AH1 N L AH0 V IY0 +DUNLAY D AH1 N L EY2 +DUNLEAVY D UW1 N L AH0 V IY0 +DUNLEVY D UW1 N L IH0 V IY0 +DUNLEY D AH1 N L IY0 +DUNLOP D AH1 N L AA2 P +DUNMAN D AH1 N M AH0 N +DUNMIRE D UW0 N M IH1 R EY0 +DUNN D AH1 N +DUNNAGAN D AH1 N AH0 G AE0 N +DUNNAM D AH1 N AH0 M +DUNNAVANT D AH1 N AH0 V AH0 N T +DUNNAWAY D AH1 N AH0 W EY0 +DUNNE D AH1 N +DUNNED D AH1 N D +DUNNELL D AH1 N AH0 L +DUNNETT D AH1 N IH0 T +DUNNIGAN D AH1 N IH0 G AH0 N +DUNNING D AH1 N IH0 NG +DUNNINGTON D AH1 N IH0 NG T AH0 N +DUNNO D AH0 N OW1 +DUNPHY D AH1 N F IY0 +DUNS D AH1 N Z +DUNSHEE D AH1 N SH IY0 +DUNSMOOR D AH1 N Z M UH2 R +DUNSMORE D AH1 N S M AO0 R +DUNSON D AH1 N S AH0 N +DUNST D AH1 N S T +DUNSTAN D AH1 N S T AH0 N +DUNSTER D AH1 N S T ER0 +DUNSTON D AH1 N S T AH0 N +DUNSWORTH D AH1 N Z W ER2 TH +DUNTON D AH1 N T AH0 N +DUNWOODY D AH1 N W UH2 D IY0 +DUNWORTH D AH1 N W ER2 TH +DUO D UW1 OW0 +DUODENAL D UW1 AH0 D IY1 N AH0 L 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AH0 P R AA1 Z +DUPRE D AH1 P R EY0 +DUPREE D AH0 P R IY1 +DUPREY D AH1 P R EY0 +DUPRIEST D AH1 P ER0 IY0 IH0 S T +DUPRIEST(2) D UW2 P R IY1 S T +DUPUIS D AH0 P W IY1 +DUPUY D AH0 P W IY1 +DUQUE D UW1 K +DUQUESNE D UW0 K EY1 N +DUQUESNE'S D UW0 K EY1 N Z +DUQUETTE D AH0 K EH1 T +DURA D UH1 R AH0 +DURABILITY D ER0 AH0 B IH1 L IH0 T IY0 +DURABLE D UH1 R AH0 B AH0 L +DURABLES D UH1 R AH0 B AH0 L Z +DURACELL D UH1 R AH0 S EH2 L +DURAKON D UH1 R AH0 K IH0 N +DURALL D Y UW1 R AH0 L +DURAMED D UH1 R AH0 M EH2 D +DURAN D ER0 AE1 N +DURAN'S D ER0 AE1 N S +DURAND D UH0 R AA1 N D +DURANDO D UH0 R AA1 N D OW0 +DURANG D ER0 AE1 NG +DURANGO D ER0 AE1 NG G OW0 +DURANT D UH1 R AH0 N T +DURANT'S D ER0 AE1 N T S +DURANTE D UH0 R AA1 N T IY0 +DURATION D UH1 R EY1 SH AH0 N +DURATIONS D UH1 R EY1 SH AH0 N Z +DURAY D UH1 R EY0 +DURAZO D UH0 R AA1 Z OW0 +DURBAN D ER1 B AH0 N +DURBEN D ER1 B AH0 N +DURBIN D ER1 B IH0 N +DURCH D ER1 CH +DURCHHOLZ D ER1 CH OW2 L T S +DURDEN D ER1 D AH0 N +DURDIN D ER1 D IH0 N 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N +DUSTS D AH1 S T S +DUSTY D AH1 S T IY0 +DUSZA D AH1 SH AH0 +DUSZYNSKI D AH0 SH IH1 N S K IY0 +DUTCH D AH1 CH +DUTCHER D AH1 CH ER0 +DUTCHMAN D AH1 CH M AH0 N +DUTHIE D AH1 TH IY0 +DUTIES D UW1 T IY0 Z +DUTIFUL D UW1 T IY0 F AH0 L +DUTIFULLY D UW1 T IY0 F AH0 L IY0 +DUTIL D AH0 T IH1 L +DUTKA D AH1 T K AH0 +DUTKIEWICZ D AH1 T K AH0 V IH0 CH +DUTKO D AH1 T K OW0 +DUTOIT D UW0 T OY1 T +DUTRA D UW1 T R AH0 +DUTRO D AH1 T R OW0 +DUTROW D AH1 T R OW0 +DUTSON D AH1 T S AH0 N +DUTT D AH1 T +DUTTER D AH1 T ER0 +DUTTON D AH1 T AH0 N +DUTY D UW1 T IY0 +DUTY(2) D Y UW1 T IY0 +DUVA D UW1 V AH0 +DUVAL D UW0 V AE1 L +DUVALIER D UW0 V AE1 L Y ER0 +DUVALIERS D UW0 V EY1 L Y ER0 Z +DUVALL D UW0 V AA1 L +DUVE D UW1 V +DUVERNAY D AH0 V ER1 N EY0 +DUVREES D UW0 V R IY1 Z +DUWAYNE D UW0 W EY1 N +DUWE D UW1 W +DUX D AH1 K S +DUZAN D UW1 Z AH0 N +DVD D IY2 V IY2 D IY1 +DVDS D IY2 V IY2 D IY1 Z +DVORACEK D V AO1 R AH0 CH EH0 K +DVORAK D V AO1 R AH0 K +DVORSKY D V AO1 R S K IY0 +DWAN D W AA1 N +DWANA D W AA1 N AH0 +DWARF D W AO1 R F +DWARFED D W AO1 R F T +DWARFING D W AO1 R F IH0 NG +DWARFISM D W AO1 R F IH0 Z AH0 M +DWARFS D W AO1 R F S +DWARVES D W AO1 R V Z +DWAYNE D W EY1 N +DWECK D W EH1 K +DWEEB D W IY1 B +DWELL D W EH1 L +DWELLE D W EH1 L +DWELLED D W EH1 L D +DWELLER D W EH1 L ER0 +DWELLERS D W EH1 L ER0 Z +DWELLEY D W EH1 L IY0 +DWELLING D W EH1 L IH0 NG +DWELLINGS D W EH1 L IH0 NG Z +DWELLS D W EH1 L Z +DWELT D W EH1 L T +DWI D IY1 D AH1 B AH0 L Y UW1 AY1 +DWI(2) D IY1 D AH1 B AH0 Y UW1 AY1 +DWIGGINS D W IH1 G IH0 N Z +DWIGHT D W AY1 T +DWINDLE D W IH1 N D AH0 L +DWINDLED D W IH1 N D AH0 L D +DWINDLES D W IH1 N D AH0 L Z +DWINDLING D W IH1 N D AH0 L IH0 NG +DWINDLING(2) D W IH1 N D L IH0 NG +DWINELL D W IH1 N AH0 L +DWIRE D W AY1 R +DWIVEDI D W IH0 V EH1 D IY0 +DWORAK D W ER1 AH0 K +DWORIN D W AO1 R IH0 N +DWORKIN D W AO1 R K IH0 N +DWORSKY D W ER1 S K IY0 +DWYER D W AY1 ER0 +DYAD D AY1 AE2 D +DYAL D AY1 AH0 L +DYAN D AY0 AE1 N +DYANA D AY0 AE1 N AH0 +DYANE D AY0 AE1 N +DYANSEN 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AH0 N +DYNAMIC D AY0 N AE1 M IH0 K +DYNAMICALLY D AY0 N AE1 M IH0 K L IY2 +DYNAMICS D AY0 N AE1 M IH0 K S +DYNAMICS' D IH0 N AE1 M IH0 K S +DYNAMICS'(2) D AY0 N AE1 M IH0 K S +DYNAMICS'S D AY0 N AE1 M IH0 K S IH0 Z +DYNAMISM D AY1 N AH0 M IH2 Z AH0 M +DYNAMITE D AY1 N AH0 M AY2 T +DYNAMO D AY1 N AH0 M OW2 +DYNAMOMETER D AY2 N AH0 M AA1 M AH0 T ER0 +DYNAPAC D AY1 N AH0 P AE2 K +DYNASCAN D AY1 N AH0 S K AE2 N +DYNASTIC D AY0 N AE1 S T IH0 K +DYNASTIES D AY1 N AH0 S T IY0 Z +DYNASTY D AY1 N AH0 S T IY0 +DYNATECH D IH1 N AH0 T EH2 K +DYNCORP D IH1 N K AO2 R P +DYNCORP(2) D AY1 N K AO2 R P +DYNEER D IH0 N IH1 R +DYNEER(2) D AY0 N IH1 R +DYNES D AY1 N Z +DYSAN D AY1 S AH0 N +DYSART D IH1 S ER0 T +DYSENTERY D IH1 S AH0 N T EH2 R IY0 +DYSERT D IH1 S ER0 T +DYSFUNCTION D IH0 S F AH1 NG K SH AH0 N +DYSFUNCTIONAL D IH0 S F AH1 NG K SH AH0 N AH0 L +DYSFUNCTIONS D IH0 S F AH1 NG K SH AH0 N Z +DYSINGER D IH1 S IH0 N JH ER0 +DYSLEXIA D IH0 S L EH1 K S IY0 AH0 +DYSLEXIC D IH0 S L EH1 K S IH0 K +DYSON D AY1 S AH0 N +DYSPEPTIC D IH2 S P EH1 P T IH0 K +DYSPHORIC D IH2 S F AO1 R IH0 K +DYSPLASIA D IH2 S P L EY1 ZH AH0 +DYSPNEA D IH2 S P N IY1 AH0 +DYSTROPHIN D IH1 S T R AH0 F IH0 N +DYSTROPHY D IH1 S T R AH0 F IY0 +DZERZHINSK JH ER0 Z IH1 N S K +DZHAMBUL JH AE0 M B UW1 L +DZHIRKVELOV JH ER2 K V EH1 L AO0 V +DZHOKHAR JH OW2 K AA1 R +DZHOKHAR'S JH OW2 K AA1 R Z +DZIAK D Z IY1 AE0 K +DZIALO JH IY0 AA1 L OW0 +DZIEDZIC JH IY1 JH IH0 K +DZIEKAN JH IY1 K AH0 N +DZIK D Z IH1 K +DZIKOWSKI JH IH0 K AO1 F S K IY2 +DZIUBA JH IY0 UW1 B AH0 +DZIUK JH IY0 UW1 K +DZOKHAR JH OW2 K AA1 R +E IY1 +E'S IY1 Z +E-COMMERCE IY1 K AA1 M ER0 S +E-MAIL IY1 M EY2 L +E-MAILED IY1 M EY2 L D +E-MAILING IY1 M EY2 L IH0 NG +E-MAILS IY1 M EY2 L Z +E. IY1 +E.'S IY1 Z +E.G. IY2 G IY1 +E.S IY1 Z +EACH IY1 CH +EACHAN IY1 CH AH0 N +EACHUS IY1 CH AH0 S +EADDY IY1 D IY0 +EADE IY1 D +EADER IY1 D ER0 +EADES IY1 D Z +EADIE EH1 D IY0 +EADS IY1 D Z +EADS' IY1 D Z +EADY IY1 D IY0 +EAGAN IY1 G AH0 N +EAGAR IY1 G ER0 +EAGEN IY1 G AH0 N +EAGER IY1 G ER0 +EAGERLY IY1 G ER0 L IY0 +EAGERNESS IY1 G ER0 N AH0 S +EAGLE IY1 G AH0 L +EAGLE'S IY1 G AH0 L Z +EAGLEBURGER IY1 G AH0 L B ER0 G ER0 +EAGLES IY1 G AH0 L Z +EAGLESON IY1 G AH0 L S AH0 N +EAGLETON IY1 G AH0 L T AH0 N +EAGLEYE IY1 G AH0 L AY2 +EAGLIN IY1 G L IH0 N +EAGON IY1 G AH0 N +EAKEN IY1 K AH0 N +EAKER IY1 K ER0 +EAKES IY1 K S +EAKIN IY1 K IH0 N +EAKINS IY1 K IH0 N Z +EAKLE IY1 K AH0 L +EALES IY1 L Z +EALEY IY1 L IY0 +EALING IY1 L IH0 NG +EALY IY1 L IY0 +EAMER IY1 M ER0 +EAMES IY1 M Z +EAMON IY1 M AH0 N +EANES IY1 N Z +EAP IY1 EY1 P IY1 +EAP(2) IY1 P +EAPPEN IY1 P AH0 N +EAR IY1 R +EAR(2) IH1 R +EARDLEY IH1 R D L IY0 +EARDLEY(2) ER1 D L IY0 +EARED IH1 R D +EARFUL IY1 R F AH2 L +EARFULL IH1 R F AH2 L +EARGLE IH1 R G AH0 L +EARHART IH1 R HH AA0 R T +EARHART(2) EH1 R HH AA0 R T +EARL ER1 L +EARL'S ER1 L Z +EARLDOM ER1 L D AH0 M +EARLE ER1 L +EARLENE ER1 L IY0 N +EARLES ER1 L Z +EARLESS IH1 R L AH0 S +EARLESS(2) IY1 R L AH0 S +EARLEY ER1 L IY0 +EARLIE ER1 L IY0 +EARLIER ER1 L IY0 ER0 +EARLIER'S ER1 L IY0 ER0 Z +EARLIEST ER1 L IY0 AH0 S T +EARLINE ER1 L AY0 N +EARLL ER1 L +EARLS ER1 L Z +EARLY ER1 L IY0 +EARLYWINE ER1 L IY0 W AY2 N +EARMARK IH1 R M AA2 R K +EARMARK(2) IY1 R M AA2 R K +EARMARKED IH1 R M AA2 R K T +EARMARKED(2) IY1 R M AA2 R K T +EARMARKING IH1 R M AA2 R K IH0 NG +EARMARKING(2) IY1 R M AA2 R K IH0 NG +EARMARKS IH1 R M AA2 R K S +EARMARKS(2) IY1 R M AA2 R K S +EARMUFF IH1 R M AH2 F +EARMUFF(2) IY1 R M AH2 F +EARMUFFS IH1 R M AH2 F S +EARMUFFS(2) IY1 R M AH2 F S +EARN ER1 N +EARNED ER1 N D +EARNER ER1 N ER0 +EARNERS ER1 N ER0 Z +EARNEST ER1 N IH0 S T +EARNESTLY ER1 N AH0 S T L IY0 +EARNESTNESS ER1 N AH0 S T N AH0 S +EARNEY ER1 N IY0 +EARNHARDT ER1 N HH AA2 R T +EARNHART ER1 N HH AA2 R T 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IH0 T +ELECTORATE'S IH0 L EH1 K T ER0 AH0 T S +ELECTORATES IH0 L EH1 K T ER0 AH0 T S +ELECTORS IH0 L EH1 K T ER0 Z +ELECTRA IH0 L EH1 K T R AH0 +ELECTRIC IH0 L EH1 K T R IH0 K +ELECTRIC'S IH0 L EH1 K T R IH0 K S +ELECTRICAL IH0 L EH1 K T R IH0 K AH0 L +ELECTRICALLY IH0 L EH1 K T R IH0 K AH0 L IY0 +ELECTRICALLY(2) IH0 L EH1 K T R IH0 K L IY0 +ELECTRICALS IH0 L EH1 K T R IH0 K AH0 L Z +ELECTRICAR IH0 L EH1 K T R IH0 K AA2 R +ELECTRICIAN IH0 L EH0 K T R IH1 SH AH0 N +ELECTRICIANS IH0 L EH0 K T R IH1 SH AH0 N Z +ELECTRICIANS' IH0 L EH0 K T R IH1 SH AH0 N Z +ELECTRICITE AH0 L EH2 K T R IH1 S IH2 T EY0 +ELECTRICITY IH0 L EH2 K T R IH1 S AH0 T IY0 +ELECTRICS IH0 L EH1 K T R IH0 K S +ELECTRIFICATION IH0 L EH2 K T R AH0 F IH0 K EY1 SH AH0 N +ELECTRIFIED IH0 L EH1 K T R AH0 F AY2 D +ELECTRIFIES IH0 L EH1 K T R AH0 F AY2 Z +ELECTRIFY IH0 L EH1 K T R AH0 F AY2 +ELECTRIFYING IH0 L EH1 K T R AH0 F AY2 IH0 NG +ELECTRIQUE EH2 L EH0 K T R IY1 K +ELECTRO IH0 L EH1 K T R OW0 +ELECTROBIOLOGY IH2 L EH2 K T R OW0 B AY0 AA1 L AH0 JH IY2 +ELECTROBIOLOGY'S IH2 L EH2 K T R OW0 B AY0 AA1 L AH0 JH IY2 Z +ELECTROCARDIOGRAM IH2 L EH2 K T R OW0 K AA1 R D IY0 AH0 G R AE2 M +ELECTROCARDIOGRAMS IH2 L EH2 K T R OW0 K AA1 R D IY0 AH0 G R AE2 M Z +ELECTROCHEMICAL AH2 L EH2 K T R OW0 K EH1 M IH0 K AH0 L +ELECTROCOM IH2 L EH1 K T R OW0 K AA2 M +ELECTROCUTE IH2 L EH1 K T R AH0 K Y UW2 T +ELECTROCUTED IH2 L EH1 K T R AH0 K Y UW2 T IH0 D +ELECTROCUTION IH2 L EH2 K T R AH0 K Y UW1 SH AH0 N +ELECTROCUTIONS AH0 L EH2 K T R AH0 K Y UW1 SH AH0 N Z +ELECTRODE IH2 L EH1 K T R OW0 D +ELECTRODES IH2 L EH1 K T R OW0 D Z +ELECTRODYNAMIC IH2 L EH2 K T R OW0 D AY2 N AE1 M IH0 K +ELECTRODYNAMICS IH2 L EH2 K T R OW0 D AY2 N AE1 M IH0 K S +ELECTROLUX IH0 L EH1 K T R AH0 L AH0 K S +ELECTROLYSIS IH0 L EH2 K T R AA1 L AH0 S AH0 S +ELECTROLYTE IH0 L EH2 K T R AA0 L AY1 T +ELECTROLYTES IH0 L EH2 K T R AA0 L AY1 T S +ELECTROLYTIC IH2 L EH2 K T R AH0 L IH1 T IH0 K +ELECTROMAGNET IH0 L EH2 K T R OW0 M AE1 G N AH0 T +ELECTROMAGNETIC 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JH AH0 N IH1 R IH0 NG +ENGINEERS EH1 N JH AH0 N IH1 R Z +ENGINEERS' EH1 N JH AH0 N IH1 R Z +ENGINES EH1 N JH AH0 N Z +ENGINES' EH1 NG G IY2 N Z +ENGLAND IH1 NG G L AH0 N D +ENGLAND'S IH1 NG G L AH0 N D Z +ENGLANDER IH1 NG G L AH0 N D ER0 +ENGLANDERS IH1 NG G L AH0 N D ER0 Z +ENGLANDS IH1 NG G L AH0 N D Z +ENGLBRED EH1 G AH0 L B R EH2 D +ENGLE EH1 NG G AH0 L +ENGLEBERT IH1 NG AH0 L B ER0 T +ENGLEHARDT IH1 NG AH0 L HH AA0 R T +ENGLEHART IH1 NG AH0 L HH AA0 R T +ENGLEMAN IH1 NG AH0 L M AH0 N +ENGLER EH1 NG G AH0 L ER0 +ENGLER(2) EH1 NG G L ER0 +ENGLER'S EH1 NG G AH0 L ER0 Z +ENGLER'S(2) EH1 NG G L ER0 Z +ENGLERT IH1 NG L ER0 T +ENGLERTH IH1 NG L ER0 TH +ENGLES IH1 NG AH0 L Z +ENGLEWOOD EH1 NG G AH0 L W UH2 D +ENGLISH IH1 NG G L IH0 SH +ENGLISH(2) IH1 NG L IH0 SH +ENGLISHMAN IH1 NG G L IH0 SH M AH0 N +ENGLISHMEN EH2 NG L IH1 SH M AH0 N +ENGLISHWOMAN IH1 NG G L IH0 SH W UH2 M AH0 N +ENGLUND IH1 NG L AH0 N D +ENGMAN EH1 NG M AH0 N +ENGQUIST EH1 NG K W IH0 S T +ENGRAM EH1 N G R AE2 M +ENGRAVE IH0 N G R EY1 V +ENGRAVED IH0 N G R EY1 V D +ENGRAVER IH0 N G R EY1 V ER0 +ENGRAVING IH0 N G R EY1 V IH0 NG +ENGRAVINGS IH0 N G R EY1 V IH0 NG Z +ENGROSS IH0 N G R OW1 S +ENGROSSED IH0 N G R OW1 S T +ENGROSSING IH0 N G R OW1 S IH0 NG +ENGROSSMENT IH0 N G R OW1 S M AH0 N T +ENGSTRAND EH1 NG S T R AH0 N D +ENGSTROM EH1 NG S T R AH0 M +ENGULF IH0 N G AH1 L F +ENGULFED IH0 N G AH1 L F T +ENGULFING IH0 N G AH1 L F IH0 NG +ENGWALL IH0 NG W AO1 L +ENHANCE EH0 N HH AE1 N S +ENHANCED EH0 N HH AE1 N S T +ENHANCED(2) IH0 N HH AE1 N S T +ENHANCEMENT EH0 N HH AE1 N S M AH0 N T +ENHANCEMENTS EH0 N HH AE1 N S M AH0 N T S +ENHANCER EH0 N HH AE1 N S ER0 +ENHANCES EH0 N HH AE1 N S IH0 Z +ENHANCING EH0 N HH AE1 N S IH0 NG +ENHOLM EH1 N HH OW2 L M +ENHOLME EH1 N HH OW2 L M +ENIAC IY1 N IY0 AE2 K +ENICHEM EH1 N IH0 CH AH0 M +ENID IY1 N IH0 D +ENIGMA IH0 N IH1 G M AH0 +ENIGMATIC EH2 N IH0 G M AE1 T IH0 K +ENIMONT IY1 N IH0 M AA2 N T +ENIS EH1 N IH0 S +ENITT EH1 N IH0 T +ENIX EH1 N IH0 K S +ENJOIN EH2 N JH 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L AY1 T AH0 N Z +ENLIST EH2 N L IH1 S T +ENLISTED EH2 N L IH1 S T IH0 D +ENLISTED(2) IH0 N L IH1 S T AH0 D +ENLISTEE IH0 N L IH2 S T IY1 +ENLISTEES IH0 N L IH2 S T IY1 Z +ENLISTING EH0 N L IH1 S T IH0 NG +ENLISTING(2) IH0 N L IH1 S T IH0 NG +ENLISTMENT EH0 N L IH1 S T M AH0 N T +ENLISTS EH0 N L IH1 S T S +ENLIVEN EH0 N L AY1 V AH0 N +ENLIVENED EH0 N L AY1 V AH0 N D +ENLIVENING EH0 N L AY1 V AH0 N IH0 NG +ENLIVENS EH0 N L AY1 V AH0 N Z +ENLO EH1 N L OW0 +ENLOE IH0 N L OW1 +ENLOW IH0 N L OW1 +ENMAN EH1 N M AH0 N +ENMESH EH0 N M EH1 SH +ENMESHED EH0 N M EH1 SH T +ENMESHES EH0 N M EH1 SH AH0 Z +ENMESHING EH0 N M EH1 SH IH0 NG +ENMITIES EH1 N M AH0 T IY0 Z +ENMITIES(2) EH1 N M IH0 T IY0 Z +ENMITY EH1 N M AH0 T IY0 +ENMITY(2) EH1 N M IH0 T IY0 +ENNEA EH1 N IY0 AH0 +ENNEKING EH1 N IH0 K IH0 NG +ENNEN EH1 N AH0 N +ENNES EH1 N Z +ENNES(2) EH1 N EH0 Z +ENNIS EH1 N IH0 S +ENNOBLE IH0 N OW1 B AH0 L +ENNOBLED IH0 N OW1 B AH0 L D +ENNOBLES IH0 N OW1 B AH0 L Z +ENNOBLING IH0 N OW1 B L IH0 NG 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AO1 K AH0 S +ENTEROLOGY EH2 N T ER0 AA1 L AH0 JH IY0 +ENTERPRISE EH1 N T ER0 P R AY2 Z +ENTERPRISE(2) EH1 N ER0 P R AY2 Z +ENTERPRISE'S EH1 N T ER0 P R AY2 Z AH0 Z +ENTERPRISE'S(2) EH1 N T ER0 P R AY2 Z IH0 Z +ENTERPRISE'S(3) EH1 N ER0 P R AY2 Z AH0 Z +ENTERPRISE'S(4) EH1 N ER0 P R AY2 Z IH0 Z +ENTERPRISES EH1 N T ER0 P R AY2 Z IH0 Z +ENTERPRISES(2) EH1 N ER0 P R AY2 Z IH0 Z +ENTERPRISES' EH1 N T ER0 P R AY2 Z IH0 Z +ENTERPRISES'(2) EH1 N ER0 P R AY2 Z IH0 Z +ENTERPRISING EH1 N T ER0 P R AY2 Z IH0 NG +ENTERPRISING(2) EH1 N ER0 P R AY2 Z IH0 NG +ENTERRA EH0 N T EH1 R AH0 +ENTERS EH1 N T ER0 Z +ENTERS(2) EH1 N ER0 Z +ENTERTAIN EH2 N T ER0 T EY1 N +ENTERTAIN(2) EH2 N ER0 T EY1 N +ENTERTAINED EH2 N T ER0 T EY1 N D +ENTERTAINED(2) EH2 N ER0 T EY1 N D +ENTERTAINER EH2 N T ER0 T EY1 N ER0 +ENTERTAINER(2) EH2 N ER0 T EY1 N ER0 +ENTERTAINER'S EH2 N T ER0 T EY1 N ER0 Z +ENTERTAINER'S(2) EH2 N ER0 T EY1 N ER0 Z +ENTERTAINERS EH2 N T ER0 T EY1 N ER0 Z +ENTERTAINERS(2) EH2 N ER0 T EY1 N ER0 Z 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T +ERHART ER1 HH AA0 R T +ERIC EH1 R IH0 K +ERIC'S EH1 R IH0 K S +ERICA EH1 R IH0 K AH0 +ERICH EH1 R IH0 K +ERICHSEN EH1 R IH0 K S AH0 N +ERICK EH1 R IH0 K +ERICKA EH1 R IH0 K AH0 +ERICKSEN EH1 R IH0 K S AH0 N +ERICKSON EH1 R IH0 K S AH0 N +ERICSON EH1 R IH0 K S AH0 N +ERICSSON EH1 R IH0 K S AH0 N +ERICSSON'S EH1 R IH0 K S AH0 N Z +ERIDANIA EH2 R IH0 D AE1 N IY0 AH0 +ERIE IH1 R IY0 +ERIK EH1 R IH0 K +ERIK'S EH1 R IH0 K S +ERIKA EH1 R IH0 K AH0 +ERIKSEN EH1 R IH0 K S AH0 N +ERIKSON EH1 R IH0 K S AH0 N +ERIKSON'S EH1 R IH0 K S AH0 N Z +ERIKSSON EH1 R IH0 K S AH0 N +ERIN EH1 R IH0 N +ERINA ER0 IY1 N AH0 +ERION EH0 R IY0 AO1 N +ERISA EH0 R IY1 S AH0 +ERISMAN EH1 R IH0 S M AH0 N +ERITREA EH2 R IH0 T R IY1 AH0 +ERITREA(2) EH2 R IH0 T R EY1 AH0 +ERITREAN EH2 R IH0 T R IY1 AH0 N +ERITREAN(2) EH2 R IH0 T R EY1 AH0 N +ERITREANS EH1 R IH0 T R IY2 N Z +ERITREANS(2) EH2 R IH0 T R EY1 AH0 N Z +ERK ER1 K +ERKER ER1 K ER0 +ERKKILA ER1 K IH0 L AH0 +ERL ER1 L +ERLACH ER1 L AA2 K +ERLAND ER1 L AH0 N D 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IY1 R OW0 D +ERODED IH0 R OW1 D AH0 D +ERODED(2) IH0 R OW1 D IH0 D +ERODES IH0 R OW1 D Z +ERODIBLE IH0 R OW1 D AH0 B AH0 L +ERODING IH0 R OW1 D IH0 NG +ERODING(2) IY0 R OW1 D IH0 NG +EROH EH1 R OW0 +EROICA ER0 OY1 K AH0 +EROL EH1 R AH0 L +EROL'S EH1 R AH0 L Z +ERON IH1 R AA0 N +EROS IH1 R AA0 S +EROSION IH0 R OW1 ZH AH0 N +EROSIONAL IH0 R OW1 ZH AH0 N AH0 L +EROSIVE IH0 R OW1 S IH0 V +EROTIC IH0 R AA1 T IH0 K +EROTICA IH0 R AA1 T IH0 K AH0 +EROTICISM ER0 AA1 T IH0 S IH2 Z AH0 M +ERPELDING ER1 P IH0 L D IH0 NG +ERPS ER1 P S +ERR EH1 R +ERR(2) ER1 +ERRA EH1 R AH0 +ERRAND EH1 R AH0 N D +ERRANDS EH1 R AH0 N D Z +ERRANT EH1 R AH0 N T +ERRATIC IH0 R AE1 T IH0 K +ERRATICALLY EH0 R AE1 T IH0 K L IY0 +ERRED EH1 R D +ERRETT EH1 R IH0 T +ERRIA EH1 R IY0 AH0 +ERRICKSON EH1 R IH0 K S AH0 N +ERRICO ER0 IY1 K OW0 +ERRING EH1 R IH0 NG +ERRINGTON EH1 R IH0 NG T AH0 N +ERROL EH1 R AH0 L +ERROL'S EH1 R AH0 L Z +ERRONEOUS EH0 R OW1 N IY0 AH0 S +ERRONEOUS(2) ER0 OW1 N IY0 AH0 S +ERRONEOUSLY EH0 R OW1 N IY0 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AO1 R T AH0 B AH0 L +EXPORTED IH0 K S P AO1 R T AH0 D +EXPORTER IH0 K S P AO1 R T ER0 +EXPORTERS IH0 K S P AO1 R T ER0 Z +EXPORTERS' EH2 K S P AO1 R T ER0 Z +EXPORTING IH0 K S P AO1 R T IH0 NG +EXPORTS EH1 K S P AO0 R T S +EXPOS EH1 K S P OW0 Z +EXPOSE IH0 K S P OW1 Z +EXPOSED IH0 K S P OW1 Z D +EXPOSES IH0 K S P OW1 Z IH0 Z +EXPOSING IH0 K S P OW1 Z IH0 NG +EXPOSITION EH2 K S P AH0 Z IH1 SH AH0 N +EXPOSITIONS EH2 K S P AH0 Z IH1 SH AH0 N Z +EXPOSITO EH0 K S P AH0 S AY1 T OW0 +EXPOSITO(2) EH0 K S P AH0 Z IY1 T OW0 +EXPOSURE IH0 K S P OW1 ZH ER0 +EXPOSURES IH0 K S P OW1 ZH ER0 Z +EXPOUND IH0 K S P AW1 N D +EXPOUNDED IH0 K S P AW1 N D AH0 D +EXPOUNDING IH0 K S P AW1 N D IH0 NG +EXPOUNDS IH0 K S P AW1 N D Z +EXPRESS IH0 K S P R EH1 S +EXPRESS' IH0 K S P R EH1 S +EXPRESS'S IH0 K S P R EH1 S IH0 Z +EXPRESSED IH0 K S P R EH1 S T +EXPRESSES IH0 K S P R EH1 S AH0 Z +EXPRESSES(2) IH0 K S P R EH1 S IH0 Z +EXPRESSING IH0 K S P R EH1 S IH0 NG +EXPRESSION IH0 K S P R EH1 SH AH0 N +EXPRESSIONISM IH0 K S P R EH1 SH AH0 N IH2 Z AH0 M +EXPRESSIONIST IH0 K S P R EH1 SH AH0 N AH0 S T +EXPRESSIONISTIC IH0 K S P R EH2 SH AH0 N IH1 S T IH0 K +EXPRESSIONLESS IH0 K S P R EH2 SH AH0 N L IH0 S +EXPRESSIONS IH0 K S P R EH1 SH AH0 N Z +EXPRESSIVE IH0 K S P R EH1 S IH0 V +EXPRESSIVITY EH2 K S P R AH0 S IH1 V IH0 T IY0 +EXPRESSLY EH0 K S P R EH1 S L IY0 +EXPRESSO IH0 K S P EH1 S OW0 +EXPRESSO(2) EH0 K S P EH1 S OW0 +EXPRESSWAY IH0 K S P R EH1 S W EY2 +EXPROPRIATE EH0 K S P R OW1 P R IY0 EY2 T +EXPROPRIATED EH0 K S P R OW1 P R IY0 EY2 T IH0 D +EXPROPRIATION EH2 K S P R OW2 P R IY0 EY1 SH AH0 N +EXPROPRIATIONS EH2 K S P R OW2 P R IY0 EY1 SH AH0 N Z +EXPULSION IH0 K S P AH1 L SH AH0 N +EXPULSIONS IH0 K S P AH1 L SH AH0 N Z +EXPUNGE IH0 K S P AH1 N JH +EXPUNGED IH0 K S P AH1 N JH D +EXQUISITE EH1 K S K W AH0 Z AH0 T +EXQUISITELY EH2 K S K W IH1 Z IH0 T L IY0 +EXTANT EH1 K S T AH0 N T +EXTEL EH1 K S T EH2 L +EXTEND IH0 K S T EH1 N D +EXTENDABLE EH2 K S T EH1 N D AH0 B AH0 L +EXTENDED IH0 K S T EH1 N D AH0 D +EXTENDED(2) IH0 K S T EH1 N D IH0 D +EXTENDER EH1 K S T EH2 N D ER0 +EXTENDERS EH1 K S T EH2 N D ER0 Z +EXTENDIBLE EH2 K S T EH1 N D IH0 B AH0 L +EXTENDING IH0 K S T EH1 N D IH0 NG +EXTENDS IH0 K S T EH1 N D Z +EXTENSION IH0 K S T EH1 N SH AH0 N +EXTENSIONS IH0 K S T EH1 N SH AH0 N Z +EXTENSIVE IH0 K S T EH1 N S IH0 V +EXTENSIVELY IH0 K S T EH1 N S IH0 V L IY0 +EXTENT IH0 K S T EH1 N T +EXTENUATE IH0 K S T EH1 N Y UW0 EY2 T +EXTENUATING IH0 K S T EH1 N Y UW0 EY2 T IH0 NG +EXTERIOR IH0 K S T IH1 R IY0 ER0 +EXTERIORS EH0 K S T IH1 R IY0 ER0 Z +EXTERMINATE IH0 K S T ER1 M AH0 N EY2 T +EXTERMINATED IH0 K S T ER1 M AH0 N EY2 T IH0 D +EXTERMINATES IH0 K S T ER1 M AH0 N EY2 T S +EXTERMINATING IH0 K S T ER1 M AH0 N EY2 T IH0 NG +EXTERMINATION IH0 K S T ER2 M AH0 N EY1 SH AH0 N +EXTERMINATOR IH0 K S T ER1 M AH0 N EY2 T ER0 +EXTERMINATORS IH0 K S T ER1 M AH0 N EY2 T ER0 Z +EXTERNAL IH0 K S T ER1 N AH0 L +EXTERNALLY IH0 K S T ER1 N AH0 L IY0 +EXTINCT IH0 K S T IH1 NG K T +EXTINCTION IH0 K S T IH1 NG K SH AH0 N +EXTINCTION(2) IH0 K S T IH1 NG SH AH0 N +EXTINCTIONS IH0 K S T IH1 NG K SH AH0 N Z +EXTINCTIONS(2) IH0 K S T IH1 NG SH AH0 N Z +EXTINGUISH IH0 K S T IH1 NG G W IH0 SH +EXTINGUISHED IH0 K S T IH1 NG G W IH0 SH T +EXTINGUISHER IH0 K S T IH1 NG G W IH0 SH ER0 +EXTINGUISHERS IH0 K S T IH1 NG G W IH0 SH ER0 Z +EXTINGUISHING IH0 K S T IH1 NG G W IH0 SH IH0 NG +EXTINGUISHMENT IH0 K S T IH1 NG G W IH0 SH M AH0 N T +EXTIRPATE EH1 K S T ER0 P EY2 T +EXTIRPATED EH1 K S T ER0 P EY2 T AH0 D +EXTIRPATES EH1 K S T ER0 P EY2 T S +EXTIRPATING EH1 K S T ER0 P EY2 T IH0 NG +EXTOL IH0 K S T OW1 L +EXTOLLED IH0 K S T OW1 L D +EXTOLLING IH0 K S T OW1 L IH0 NG +EXTOLS IH0 K S T OW1 L Z +EXTON EH1 K S T AH0 N +EXTORT EH0 K S T AO1 R T +EXTORTED EH0 K S T AO1 R T IH0 D +EXTORTING EH0 K S T AO1 R T IH0 NG +EXTORTION EH0 K S T AO1 R SH AH0 N +EXTORTIONATE EH0 K S T AO1 R SH AH0 N AH0 T +EXTORTIONATE(2) EH0 K S T AO1 R SH AH0 N EY2 T +EXTORTIONIST EH0 K S T AO1 R SH AH0 N IH0 S T 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SH B EH2 K +FISHBEIN F IH1 SH B AY2 N +FISHBOWL F IH1 SH B OW2 L +FISHBURN F IH1 SH B ER2 N +FISHBURNE F IH1 SH B ER0 N +FISHEATER F IH1 SH IY2 T ER0 +FISHEATERS F IH1 SH IY2 T ER0 Z +FISHED F IH1 SH T +FISHEL F IH1 SH AH0 L +FISHELL F IH1 SH AH0 L +FISHER F IH1 SH ER0 +FISHER'S F IH1 SH ER0 Z +FISHERIES F IH1 SH ER0 IY0 Z +FISHERMAN F IH1 SH ER0 M AE2 N +FISHERMAN(2) F IH1 SH ER0 M AH0 N +FISHERMAN'S F IH1 SH ER0 M AH0 N Z +FISHERMEN F IH1 SH ER0 M IH0 N +FISHERS F IH1 SH ER0 Z +FISHERY F IH1 SH ER0 IY0 +FISHES F IH1 SH AH0 Z +FISHES(2) F IH1 SH IH0 Z +FISHING F IH1 SH IH0 NG +FISHKILL F IH1 SH K IH2 L +FISHKIN F IH1 SH K IH0 N +FISHLOW F IH1 SH L OW2 +FISHMAN F IH1 SH M AE2 N +FISHMAN(2) F IH1 SH M AH0 N +FISHMONGER F IH1 SH M AA2 NG G ER0 +FISHY F IH1 SH IY0 +FISK F IH1 S K +FISK'S F IH1 S K S +FISKE F IH1 S K +FISKE'S F IH1 S K S +FISLER F IH1 S AH0 L ER0 +FISLER(2) F IH1 S L ER0 +FISONS F AY1 Z AH0 N Z +FISS F IH1 S +FISSEL F IH1 S AH0 L +FISSELL F IH1 S AH0 L +FISSILE F IH1 S AH0 L +FISSION F IH1 SH AH0 N +FISSIONABLE F IH1 SH AH0 N AH0 B AH0 L +FISSURE F IH1 SH ER0 +FISSURED F IH1 SH ER0 D +FISSURES F IH1 SH ER0 Z +FIST F IH1 S T +FISTED F IH1 S T IH0 D +FISTER F IH1 S T ER0 +FISTFUL F IH1 S T F AH0 L +FISTICUFF F IH1 S T IH0 K AH2 F +FISTICUFFS F IH1 S T IH0 K AH2 F S +FISTS F IH1 S T S +FIT F IH1 T +FITAK F IH1 T AE2 K +FITCH F IH1 CH +FITCHBURG F IH1 CH B ER0 G +FITCHETT F IH1 CH IH0 T +FITE F AY1 T +FITES F AY1 T S +FITFUL F IH1 T F AH0 L +FITFULLY F IH1 T F AH0 L IY0 +FITHE F IH1 TH +FITHIAN F IH1 TH IY0 AH0 N +FITNESS F IH1 T N AH0 S +FITS F IH1 T S +FITSWATER F IH1 T S W AO2 T ER0 +FITT F IH1 T +FITTED F IH1 T AH0 D +FITTED(2) F IH1 T IH0 D +FITTER F IH1 T ER0 +FITTERER F IH1 T ER0 ER0 +FITTEST F IH1 T AH0 S T +FITTING F IH1 T IH0 NG +FITTINGLY F IH1 T IH0 NG L IY0 +FITTINGS F IH1 T IH0 NG Z +FITTIPALDI F IH0 T IH0 P AA1 L D IY0 +FITTON F IH1 T AH0 N +FITTRO F IH1 T R OW0 +FITTS F IH1 T S +FITZ F IH1 T S +FITZCO F IH1 T S K OW0 +FITZER F IH1 T S ER0 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AH0 L Z +FLANNERY F L AE1 N ER0 IY0 +FLANNIGAN F L AE1 N IH0 G AH0 N +FLANSBURG F L AE1 N S B ER0 G +FLAP F L AE1 P +FLAPDOODLE F L AE1 P D UW2 D AH0 L +FLAPJACK F L AE1 P JH AE2 K +FLAPJACKS F L AE1 P JH AE2 K S +FLAPLIKE F L AE1 P L AY2 K +FLAPPED F L AE1 P T +FLAPPER F L AE1 P ER0 +FLAPPERS F L AE1 P ER0 Z +FLAPPING F L AE1 P IH0 NG +FLAPS F L AE1 P S +FLARE F L EH1 R +FLARED F L EH1 R D +FLARES F L EH1 R Z +FLARING F L EH1 R IH0 NG +FLARINGLY F L EH1 R IH0 NG L IY0 +FLASCH F L AE1 SH +FLASH F L AE1 SH +FLASH'S F L AE1 SH IH0 Z +FLASHBACK F L AE1 SH B AE2 K +FLASHBACKS F L AE1 SH B AE2 K S +FLASHBULB F L AE1 SH B AH0 L B +FLASHBULBS F L AE1 SH B AH0 L B Z +FLASHCARD F L AE1 SH K AA2 R D +FLASHCARDS F L AE1 SH K AA2 R D Z +FLASHDANCE F L AE1 SH D AE2 N S +FLASHDANCES F L AE1 SH D AE2 N S IH0 Z +FLASHED F L AE1 SH T +FLASHER F L AE1 SH ER0 +FLASHER'S F L AE1 SH ER0 Z +FLASHERS F L AE1 SH ER0 Z +FLASHES F L AE1 SH IH0 Z +FLASHGUN F L AE1 SH G AH0 N +FLASHGUNS F L AE1 SH G AH0 N Z 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N +FLAWS F L AO1 Z +FLAX F L AE1 K S +FLAXMAN F L AE1 K S M AH0 N +FLAXSEED F L AE1 K S IY2 D +FLAY F L EY1 +FLAYED F L EY1 D +FLEA F L IY1 +FLEAGLE F L IY1 G AH0 L +FLEAS F L IY1 Z +FLECK F L EH1 K +FLECKENSTEIN F L EH1 K AH0 N S T AY2 N +FLECKENSTEIN(2) F L EH1 K AH0 N S T IY2 N +FLECKS F L EH1 K S +FLED F L EH1 D +FLEDERMAUS F L EH1 D ER0 M AW0 S +FLEDGE F L EH1 JH +FLEDGED F L EH1 JH D +FLEDGING F L EH1 JH IH0 NG +FLEDGLING F L EH1 JH L IH0 NG +FLEE F L IY1 +FLEECE F L IY1 S +FLEECED F L IY1 S T +FLEECES F L IY1 S IH0 Z +FLEECING F L IY1 S IH0 NG +FLEECY F L IY1 S IY0 +FLEEGER F L IY1 G ER0 +FLEEING F L IY1 IH0 NG +FLEEK F L IY1 K +FLEEMAN F L IY1 M AH0 N +FLEENER F L IY1 N ER0 +FLEENOR F L IY1 N ER0 +FLEER F L IH1 R +FLEES F L IY1 Z +FLEET F L IY1 T +FLEET'S F L IY1 T S +FLEETING F L IY1 T IH0 NG +FLEETINGLY F L IY1 T IH0 NG L IY0 +FLEETS F L IY1 T S +FLEETWOOD F L IY1 T W UH2 D +FLEGAL F L IY1 G AH0 L +FLEGEL F L EH1 G AH0 L +FLEHARTY F L EH1 HH AA0 R T IY0 +FLEIG F L IY1 G 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DH ER0 IH0 NG HH AE0 M +FOTI F OW1 T IY0 +FOTIS F OW1 T IH0 S +FOTOPOULOS F AH0 T AA1 P AH0 L IH0 S +FOUAD F UW1 AE0 D +FOUCAULT F UW2 K OW1 +FOUCH F AW1 CH +FOUCHE F AW1 CH +FOUCHER F AW1 K ER0 +FOUGERE F AW1 G ER0 +FOUGHT F AO1 T +FOUHY F UW1 IY0 +FOUHY(2) F UW1 HH IY0 +FOUL F AW1 L +FOULDS F OW1 L D Z +FOULED F AW1 L D +FOULING F AW1 L IH0 NG +FOULK F AW1 L K +FOULKE F AW1 L K +FOULKES F AW1 L K S +FOULKS F UW1 L K S +FOULNESS F AW1 L N AH0 S +FOULS F AW1 L Z +FOUND F AW1 N D +FOUNDATION F AW0 N D EY1 SH AH0 N +FOUNDATION'S F AW0 N D EY1 SH AH0 N Z +FOUNDATIONAL F AW0 N D EY1 SH AH0 N AH0 L +FOUNDATIONS F AW0 N D EY1 SH AH0 N Z +FOUNDED F AW1 N D IH0 D +FOUNDER F AW1 N D ER0 +FOUNDER'S F AW1 N D ER0 Z +FOUNDERED F AW1 N D ER0 D +FOUNDERING F AW1 N D ER0 IH0 NG +FOUNDERS F AW1 N D ER0 Z +FOUNDERS' F AW1 N D ER0 Z +FOUNDING F AW1 N D IH0 NG +FOUNDLING F AW1 N D L IH0 NG +FOUNDRIES F AW1 N D R IY0 Z +FOUNDRY F AW1 N D R IY0 +FOUNTAIN F AW1 N T AH0 N +FOUNTAINE F UW0 N T EY1 N 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DH ER0 M AO2 R +FURTHERS F ER1 DH ER0 Z +FURTHEST F ER1 TH AH0 S T +FURTICK F ER1 T IH0 K +FURTIVE F ER1 T IH0 V +FURTIVELY F ER1 T IH0 V L IY0 +FURUKAWA F UH0 R UW0 K AA1 W AH0 +FURUTA F ER0 UW1 T AH0 +FURUYA F UH0 R UW1 Y AH0 +FURY F Y UH1 R IY0 +FUSARO F UW0 S AA1 R OW0 +FUSCO F UW1 S K OW0 +FUSE F Y UW1 Z +FUSED F Y UW1 Z D +FUSELAGE F Y UW1 S AH0 L AA2 JH +FUSELAGE(2) F Y UW1 S AH0 L IH0 JH +FUSELAGES F Y UW1 S AH0 L AA0 JH IH0 Z +FUSELAGES(2) F Y UW1 S AH0 L IH0 JH IH0 Z +FUSELIER F Y UW1 S L IY0 ER0 +FUSES F Y UW1 Z AH0 Z +FUSES(2) F Y UW1 Z IH0 Z +FUSIBLE F Y UW1 Z AH0 B AH0 L +FUSILLADE F Y UW1 S IH0 L EY2 D +FUSILLI F Y UW0 S IH1 L IY0 +FUSING F Y UW1 Z IH0 NG +FUSION F Y UW1 ZH AH0 N +FUSNER F UW1 Z N ER0 +FUSON F UW1 S AH0 N +FUSS F AH1 S +FUSSED F AH1 S T +FUSSELL F AH1 S AH0 L +FUSSELMAN F AH1 S AH0 L M AH0 N +FUSSES F AH1 S IH0 Z +FUSSING F AH1 S IH0 NG +FUSSNER F AH1 S N ER0 +FUSSY F AH1 S IY0 +FUST F AH1 S T +FUSTAT F AH1 S T AE0 T +FUSTIAN F AH1 S T IY2 AH0 N +FUSTOK F AH1 S T AA0 K +FUSTON F AH1 S T AH0 N +FUSTY F AH1 S T IY2 +FUTCH F AH1 CH +FUTHER F AH1 DH ER0 +FUTILE F Y UW1 T AH0 L +FUTILITY F Y UW0 T IH1 L AH0 T IY0 +FUTON F UW1 T AA0 N +FUTONS F UW1 T AA0 N Z +FUTRAL F AH1 T R AH0 L +FUTRELL F Y UW0 T R EH1 L +FUTTERMAN F AH1 T ER0 M AH0 N +FUTURE F Y UW1 CH ER0 +FUTURE'S F Y UW1 CH ER0 Z +FUTURES F Y UW1 CH ER0 Z +FUTURES' F Y UW1 CH ER0 Z +FUTURISM F Y UW1 CH ER0 IH2 Z AH0 M +FUTURIST F Y UW1 CH ER0 IH0 S T +FUTURISTIC F Y UW2 CH ER0 IH1 S T IH0 K +FUTURISTS F Y UW1 CH ER0 IH0 S T S +FUZES F Y UW1 Z IH0 Z +FUZZ F AH1 Z +FUZZIER F AH1 Z IY0 ER0 +FUZZY F AH1 Z IY0 +FYE F AY1 +FYFE F AY1 F +FYFFE F AY1 F +FYFFES F IH1 F S +FYFFES(2) F AY1 F S +FYI F AO1 R Y AO1 R IH2 N F ER0 M EY1 SH AH0 N +FYKE F AY1 K +FYOCK F Y AA1 K +FYODOR F Y OW1 D ER0 +FYODOR'S F Y OW1 D ER0 Z +FYODOROV F Y OW1 D ER0 AO2 V +FYODOROV'S F Y OW1 D ER0 AO2 V Z +G JH IY1 +G'S JH IY1 Z +G'VANNI'S JH IY2 OW0 V AA1 N IY0 Z +G. JH IY1 +G.'S JH IY1 Z +G.S JH IY1 Z +GA G AA1 +GA(2) JH IY1 EY1 +GA(3) JH AO1 R JH AH0 +GAAL G AA1 L +GAAR G AA1 R +GAARDER G AA1 R D ER0 +GAB G AE1 B +GABA G AA1 B AH0 +GABALDON G AA0 B AA0 L D AO1 N +GABARDINE G AE1 B ER0 D IY2 N +GABARDINES G AE1 B ER0 D IY2 N Z +GABAY G AE1 B EY0 +GABBARD G AH0 B AA1 R D +GABBERT G AE1 B ER0 T +GABBING G AE1 B IH0 NG +GABBRO G AE1 B R OW0 +GABBROIC G AE0 B R OW1 IH0 K +GABBY G AE1 B IY0 +GABE G EY1 B +GABEHART G EY1 B HH AA2 R T +GABEIRA G AH0 B EY1 R AH0 +GABEL G AH0 B EH1 L +GABELE G AH0 B EH1 L EY0 +GABELLI G AH0 B EH1 L IY0 +GABER G EY1 B ER0 +GABERT G AE1 B ER0 T +GABHART G AE1 B HH AA2 R T +GABIE G AE1 B IY0 +GABLE G EY1 B AH0 L +GABLED G EY1 B AH0 L D +GABLER G EY1 B AH0 L ER0 +GABLER(2) G EY1 B L ER0 +GABLES G EY1 B AH0 L Z +GABON G AH0 B AA1 N +GABOR G AH0 B AO1 R +GABORIAULT G AE1 B ER0 IY0 OW0 +GABOURY G AE1 B UH0 R IY0 +GABRALL G EY1 B R AH0 L +GABRALL'S G EY1 B R AH0 L Z +GABRIEL G EY1 B R IY0 AH0 L +GABRIEL'S G EY1 B R IY0 AH0 L Z +GABRIELA G AA2 B R IY0 EH1 L AA2 +GABRIELE G AA0 B R IY0 EH1 L +GABRIELLA G AA2 B R IY0 EH1 L AA2 +GABRIELLE G AE1 B R IY0 EH0 L +GABRIELLI G AA2 B R IY0 EH1 L IY2 +GABRIELSEN G AE1 B R IY0 L S AH0 N +GABRIELSEN(2) G EY1 B R IY0 EH0 L S AH0 N +GABRIELSON G AE1 B R IY0 L S AH0 N +GABRIELSON(2) G EY1 B R IY0 EH0 L S AH0 N +GABROWNY G AH0 B R AW1 N IY0 +GABRYS G AE1 B ER0 IY0 Z +GABY G AE1 B IY0 +GACCIONE G AA0 K CH OW1 N IY2 +GACEK G AA1 CH EH2 K +GACH G AE1 CH +GACY G EY1 S IY2 +GACY'S G EY1 S IY2 Z +GAD G AE1 D +GADBERRY G AE1 D B EH2 R IY2 +GADBOIS G AE1 D B W AA2 +GADD G AE1 D +GADDIE G AE1 D IY0 +GADDING G AE1 D IH0 NG +GADDIS G AE1 D IH0 S +GADDUM G AE1 D AH0 M +GADDY G AE1 D IY0 +GADE G EY1 D +GADFLIES G AE1 D F L AY2 Z +GADFLY G AE1 D F L AY2 +GADGET G AE1 JH AH0 T +GADGET'S G AE1 JH AH0 T S +GADGETRY G AE1 JH AH0 T R IY0 +GADGETS G AE1 JH AH0 T S +GADHAFI G AH0 D AA1 F IY0 +GADHAFI(2) G AH0 D HH AA1 F IY0 +GADHAFI'S G AH0 D AA1 F IY0 Z +GADHAFI'S(2) G AH0 D HH AA1 F IY0 Z 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IY0 OW0 +GAGLIONE G AA0 G L IY0 OW1 N IY0 +GAGLIONE(2) G AE0 G L IY0 OW1 N IY0 +GAGNE G EY1 N IY0 +GAGNE(2) G AE1 G N IY0 +GAGNER G AE1 G N ER0 +GAGNIER G AE1 G N IY0 ER0 +GAGNON G AE1 N Y AH0 N +GAGS G AE1 G Z +GAHAGAN G AA0 HH AA1 G AA0 N +GAHAN G AE1 HH AH0 N +GAHLI G AA1 L IY0 +GAHM G AE1 M +GAHN G AE1 N +GAHR G AA1 R +GAI G EY1 +GAIA G AY1 AH0 +GAIDAR G AY1 D AA2 R +GAIDAR'S G AY1 D AA2 R Z +GAIER G EY1 ER0 +GAIGE G EY1 JH +GAIL G EY1 L +GAIL'S G EY1 L Z +GAILE G EY1 L +GAILEY G EY1 L IY0 +GAILLARD G EY1 L ER0 D +GAILY G EY1 L IY0 +GAIN G EY1 N +GAINED G EY1 N D +GAINER G EY1 N ER0 +GAINERS G EY1 N ER0 Z +GAINES G EY1 N Z +GAINESVILLE G EY1 N Z V IH2 L +GAINEY G EY1 N IY0 +GAINFUL G EY1 N F AH0 L +GAINFULLY G EY1 N F AH0 L IY0 +GAINING G EY1 N IH0 NG +GAINOR G EY1 N ER0 +GAINOUS G EY1 N AH0 S +GAINS G EY1 N Z +GAINSAY G EY1 N S EY2 +GAINSBORO G EY1 N Z B ER0 OW0 +GAINSCO G EY1 N S K OW0 +GAIR G EH1 R +GAISER G EY1 Z ER0 +GAIT G EY1 T +GAITAN G AY2 T AA1 N +GAITER G EY1 T ER0 +GAITHER G EY1 TH ER0 +GAITHERSBURG G EY1 TH ER0 Z B ER0 G +GAITSKILL G EY1 T S K IH1 L +GAJDA G AY1 D AH0 +GAJEWSKI G AY0 EH1 F S K IY0 +GAL G AE1 L +GALA G AE1 L AH0 +GALA(2) G EY1 L AH0 +GALACTIC G AH0 L AE1 K T IH0 K +GALACTICA G AH0 L AE1 K T IH2 K AH0 +GALACTOSE G AH0 L AE1 K T OW0 S +GALAHAD G AE1 L AH0 HH AE2 D +GALAMBOS G AA0 L AA1 M B OW0 Z +GALAN G EY1 L AH0 N +GALANE G AH0 L EY1 N +GALANG G AE1 L AH0 NG +GALANIS G AH0 L AA1 N IH0 S +GALANOS G AH0 L AA1 N OW0 S +GALANT G AA1 L AH0 N T +GALANTE G AA0 L AA1 N T IY0 +GALANTER G AH0 L AE1 N T ER0 +GALANTI G AH0 L AE1 N T IY0 +GALAPAGOS G AH0 L AA1 P AH0 G OW0 Z +GALARNEAU G AE1 L AA0 R N OW2 +GALARZA G AH0 L AA1 R Z AH0 +GALAS G EY1 L AH0 Z +GALASIE G AE1 L AH0 S IY0 +GALASSI G AA0 L AA1 S IY0 +GALASSO G AA0 L AA1 S OW0 +GALATAS G AA0 L AA1 T AA0 Z +GALATEA G AE2 L AH0 T IY1 AH0 +GALATI G AA0 L AA1 T IY0 +GALAVIZ G AE1 L AH0 V IH0 Z +GALAX G AE1 L AE2 K S +GALAXIES G AE1 L AH0 K S IY0 Z +GALAXY G AE1 L AH0 K S IY0 +GALAXY'S G AE1 L AH0 K S IY0 Z +GALBAN G AE1 L B AH0 N +GALBO G AE1 L B OW0 +GALBRAITH G AE1 L B R EY2 TH +GALBREATH G AE1 L B R EH2 TH +GALE G EY1 L +GALE'S G EY1 L Z +GALEA G EY1 L IY0 AH0 +GALEANO G AA0 L IY1 N OW0 +GALEB G AE1 L AH0 B +GALEB(2) G EY1 L AH0 B +GALEBS G AE1 L AH0 B Z +GALEBS(2) G EY1 L AH0 B Z +GALEF G AE1 L AH0 F +GALEN G EY1 L AH0 N +GALEN'S G EY1 L AH0 N Z +GALENA G AH0 L IY1 N AH0 +GALENICAL G AH0 L EH1 N IH0 K AH0 L +GALENTINE G AA0 L EH0 N T IY1 N IY0 +GALER G EY1 L ER0 +GALERIA G AE2 L ER0 IY1 AH0 +GALERIAS G AE2 L ER0 IY1 AH0 Z +GALERIES G AE1 L ER0 IY0 Z +GALERNTER G AH0 L ER1 N T ER0 +GALES G EY1 L Z +GALESBURG G EY1 L Z B ER0 G +GALESI G AH0 L EH1 S IY0 +GALEY G EY1 L IY0 +GALFORD G AE1 L F ER0 D +GALGANO G AA0 L G AA1 N OW0 +GALI G AA1 L IY0 +GALI'S G AA1 L IY0 Z +GALIANO G AA0 L IY0 AA1 N OW0 +GALICIA G AH0 L IH1 SH IY0 AH0 +GALIE G EY1 L IY0 +GALIENA G AA0 L IY1 N AH0 +GALIK G AE1 L IH0 K +GALILEAN G AE2 L AH0 L IY1 AH0 N +GALILEE G AE1 L AH0 L IY2 +GALILEO G AE2 L AH0 L IY1 OW0 +GALILEO(2) G AE2 L AH0 L EY1 OW0 +GALILEO'S G AE2 L AH0 L IY1 OW0 Z +GALILEO'S(2) G AE2 L AH0 L EY1 OW0 Z +GALIN G AE1 L IH0 N +GALINA G AH0 L IY1 N AH0 +GALINDO G AA0 L IY1 N D OW0 +GALINSKI G AH0 L IH1 N S K IY0 +GALINSKY G AH0 L IH1 N S K IY0 +GALIOTO G AA0 L IY0 OW1 T OW0 +GALIPAULT G AE1 L IH0 P AO2 L T +GALIPAULT(2) G AE1 L IH0 P OW2 +GALIPEAU G AE1 L IH0 P OW2 +GALITSIN G AH0 L IH1 T S IH0 N +GALKA G AE1 L K AH0 +GALL G AO1 L +GALLA G AE1 L AH0 +GALLACHER G AE1 L AH0 K ER0 +GALLAGER G AO1 L IH0 JH ER0 +GALLAGHER G AE1 L AH0 G ER0 +GALLAHAN G AE1 L AH0 HH AE0 N +GALLAHER G AE1 L AH0 HH ER0 +GALLAMORE G AA0 L AA1 M AO0 R +GALLAND G AE1 L AH0 N D +GALLANT G AE1 L AH0 N T +GALLANTLY G AE1 L AH0 N T L IY0 +GALLANTRY G AE1 L AH0 N T R IY0 +GALLARD G AH0 L AA1 R D +GALLARDO G AA0 L AA1 R D OW0 +GALLAS G AE1 L AH0 Z +GALLATIN G AE1 L AH0 T IH0 N +GALLAUDET G AE1 L AH0 D EH0 T +GALLAWAY G AO1 L AH0 W EY2 +GALLBLADDER G AO1 L B L AE2 D ER0 +GALLE G EY1 L +GALLE(2) G AE2 L EY1 +GALLEGO G AA0 L EH1 G OW0 +GALLEGOS G AE1 L IH0 G OW0 Z +GALLEMORE G AA0 L EH1 M AO0 R +GALLEN G AO1 L AH0 N +GALLENTINE G AA0 L EH0 N T IY1 N IY0 +GALLEON G AE1 L IY0 AH0 N +GALLEONS G AE1 L IY0 AH0 N Z +GALLER G AO1 L ER0 +GALLERANI G AA0 L ER0 AA1 N IY0 +GALLERIA G AE2 L ER0 IY1 AH0 +GALLERIES G AE1 L ER0 IY0 Z +GALLERY G AE1 L ER0 IY0 +GALLERY'S G AE1 L ER0 IY0 Z +GALLES G EY1 L Z +GALLET G AE1 L IH0 T +GALLETTI G AA0 L EH1 T IY0 +GALLEY G AE1 L IY0 +GALLEYS G AE1 L IY0 Z +GALLI G AE1 L IY0 +GALLIA G AE1 L Y AH0 +GALLIANO G AA0 L IY0 AA1 N OW0 +GALLIC G AE1 L IH0 K +GALLICK G AE1 L IH0 K +GALLIEN G AH0 L IY1 N +GALLIER G AE1 L IY0 ER0 +GALLIGAN G AE1 L IH0 G AH0 N +GALLIHER G AE1 L IH0 HH ER0 +GALLIK G AE1 L IH0 K +GALLIMARD G AE1 L IH0 M ER0 D +GALLIMORE G AA0 L IY1 M AO0 R +GALLINA G AA0 L IY1 N AH0 +GALLING G AO1 L IH0 NG +GALLINGER G AO1 L IH0 NG ER0 +GALLINSKY G AH0 L IH1 N S K IY0 +GALLION G AE1 L Y AH0 N +GALLIUM G AE1 L IY0 AH0 M +GALLIVAN G AE1 L IH0 V AH0 N +GALLMAN G AO1 L M AH0 N +GALLO G AE1 L OW0 +GALLO'S G AE1 L OW0 Z +GALLOGLY G AE1 L AH0 G L IY0 +GALLON G AE1 L AH0 N +GALLONS G AE1 L AH0 N Z +GALLOON G AH0 L UW1 N +GALLOP G AE1 L AH0 P +GALLOPED G AE1 L AH0 P T +GALLOPING G AE1 L AH0 P IH0 NG +GALLOS G AE1 L OW0 Z +GALLOW G AE1 L OW0 +GALLOWAY G AE1 L OW0 W EY2 +GALLOWAYS G AE1 L OW0 W EY2 Z +GALLOWS G AE1 L OW0 Z +GALLS G AO1 L Z +GALLSTONE G AO1 L S T OW2 N +GALLSTONES G AA1 L S T OW2 N Z +GALLSTONES(2) G AO1 L S T OW2 N Z +GALLUCCI G AA0 L UW1 CH IY0 +GALLUCCIO G AA0 L UW1 CH IY0 OW0 +GALLUP G AE1 L AH0 P +GALLUS G AE1 L AH0 S +GALLUZZO G AA0 L UW1 Z OW0 +GALLWAY G AO1 L W EY2 +GALOOB G AH0 L UW1 B +GALOOB'S G AH0 L UW1 B Z +GALORE G AH0 L AO1 R +GALOSH G AH0 L AA1 SH +GALOSHES G AH0 L AA1 SH AH0 Z +GALOSHES(2) G AH0 L AA1 SH IH0 Z +GALOTTI G AH0 L AA1 T IY0 +GALPIN G AE1 L P IH0 N +GALS G AE1 L Z +GALSTER G AE1 L S T ER0 +GALSWORTHY G AE1 L Z W ER2 DH IY0 +GALT G AO1 L T +GALTON G AE1 L T AH0 N +GALUDET G AE2 L Y UW0 D EH1 T +GALUS G AE1 L IH0 S +GALUSHA G AE1 L AH0 SH AH0 +GALUSKA G AH0 L AH1 S K AH0 +GALVAN G AA0 L V AA1 N +GALVANIC G AE0 L V AE1 N IH0 K +GALVANIZE G AE1 L V AH0 N AY2 Z +GALVANIZED G AE1 L V AH0 N AY2 Z D +GALVANIZES G AE1 L V AH0 N AY2 Z AH0 Z +GALVANIZING G AE1 L V AH0 N AY2 Z IH0 NG +GALVEN G AA1 L V AH0 N +GALVESTON G AE1 L V AH0 S T AH0 N +GALVEZ G AA0 L V EH1 Z +GALVIN G AE1 L V IH0 N +GALVIN'S G AE1 L V IH0 N Z +GALWAY G AA1 L W EY0 +GALYEAN G AE1 L IY0 AH0 N +GALYEN G AE1 L IY0 EH0 N +GALYON G AE1 L IY0 AA0 N +GAMA G AA1 M AH0 +GAMACHE G AA1 M EY0 K +GAMAGE G AE1 M IH0 JH +GAMAL G AH0 M AA1 L +GAMBA G AE1 M B AH0 +GAMBALE G AA0 M B AA1 L IY0 +GAMBARDELLA G AA0 M B AA0 R D EH1 L AH0 +GAMBER G AE1 M B ER0 +GAMBIA G AE1 M B IY0 AH0 +GAMBILL G AH0 M B IH1 L +GAMBINO G AE0 M B IY1 N OW0 +GAMBIT G AE1 M B IH0 T +GAMBITS G AE1 M B AH0 T S +GAMBLE G AE1 M B AH0 L +GAMBLE'S G AE1 M B AH0 L Z +GAMBLED G AE1 M B AH0 L D +GAMBLER G AE1 M B L ER0 +GAMBLER'S G AE1 M B L ER0 Z +GAMBLERS G AE1 M B L ER0 Z +GAMBLES G AE1 M B AH0 L Z +GAMBLIN G AE1 M B L IH0 N +GAMBLING G AE1 M B AH0 L IH0 NG +GAMBLING(2) G AE1 M B L IH0 NG +GAMBLING'S G AE1 M B L IH0 NG Z +GAMBOA G AA0 M B OW1 AH0 +GAMBONE G AA1 M B OW0 N +GAMBREL G AE1 M B R AH0 L +GAMBRELL G AE1 M B R AH0 L +GAMBRILL G AE1 M B R IH0 L +GAMBRO G AE1 M B R OW0 +GAMCO G AE1 M K OW0 +GAME G EY1 M +GAME'S G EY1 M Z +GAMEBOY G EY1 M B OY2 +GAMECOCK G EY1 M K AO2 K +GAMECOCKS G EY1 M K AO2 K S +GAMEKEEPER G EY1 M K IY2 P ER0 +GAMEKEEPERS G EY1 M K IY2 P ER0 S +GAMEL G AA1 M AH0 L +GAMELIN G AE1 M IH0 L IH0 N +GAMELIN(2) G AE1 M L IH0 N +GAMELLO G AH0 M EH1 L OW0 +GAMELY G EY1 M L IY0 +GAMEPLAY G EY1 M P L EY2 +GAMER G EY1 M ER0 +GAMERS G EY1 M ER0 Z +GAMES G EY1 M Z +GAMES' G EY1 M Z +GAMESHOW G EY1 M SH OW2 +GAMESHOWS G EY1 M SH OW2 Z +GAMESMAN G EY1 M Z M AE2 N +GAMESMANSHIP G EY1 M Z M AH0 N SH IH2 P +GAMEST G EY1 M AH0 S T +GAMET G AE1 M IH0 T +GAMETANGIA G AE2 M AH0 T AE1 N JH IY0 AH0 +GAMETE G AE1 M IY0 T +GAMETE(2) G AH0 M IY1 T +GAMETOPHYTE G AH0 M IY1 T AH0 F AY2 T +GAMEZ G AA0 M EH1 Z +GAMING G EY1 M IH0 NG +GAMING'S G EY1 M IH0 NG Z +GAMINO G AA0 M IY1 N OW0 +GAMM G AE1 M +GAMMA G AE1 M AH0 +GAMMAGE G AE1 M IH0 JH +GAMMAL G AH0 M AA1 L +GAMMEL G AE1 M AH0 L +GAMMELL G AE1 M AH0 L +GAMMILL G AE1 M IH0 L +GAMMON G AE1 M AH0 N +GAMMONS G AE1 M AH0 N Z +GAMONS G AE1 M AH0 N Z +GAMP G AE1 M P +GAMPER G AE1 M P ER0 +GAMSAKHURDIA G AE0 M S AH0 K ER1 D IY0 AH0 +GAMSAKHURDIA(2) G AE0 M S AH0 K ER1 D Y AH0 +GAMUNDE G AH0 M UW1 N D +GAMUNDE'S G AH0 M UW1 N D Z +GAMUT G AE1 M AH0 T +GAN G AE1 N +GANANOQUE G AH0 N AE1 N AH0 K +GANAS G AE1 N AH0 Z +GANATIEUGANAUF G AH0 N EY1 SH AH0 G AE2 N AH0 L F +GANAWAY G AE1 N AH0 W EY0 +GANCARZ G AA1 N K AA0 R Z +GANCI G AE1 N S IY0 +GANDA G AE1 N D AH0 +GANDALF G AE1 N D AO0 L F +GANDALF'S G AE1 N D AO0 L F S +GANDARA G AA0 N D AA1 R AH0 +GANDEE G AE1 N D IY0 +GANDER G AE1 N D ER0 +GANDERS G AE1 N D ER0 Z +GANDHI G AA1 N D IY0 +GANDHI'S G AA1 N D IY0 Z +GANDOLFI G AA0 N D OW1 L F IY0 +GANDOLFO G AA0 N D OW1 L F OW0 +GANDY G AE1 N D IY0 +GANEM G AE1 N IH0 M +GANES G EY1 N Z +GANEY G EY1 N IY0 +GANG G AE1 NG +GANG'S G AE1 NG Z +GANGBANGER G AE1 NG B AE0 NG G ER0 +GANGBANGERS G AE1 NG B AE0 NG G ER0 Z +GANGBUSTER G AE1 NG B AH2 S T ER0 +GANGBUSTERS G AE1 NG B AH2 S T ER0 Z +GANGE G AE1 N JH +GANGEMI G AA0 NG G EH1 M IY0 +GANGER G AE1 NG ER0 +GANGES G AE1 N JH IY0 Z +GANGI G AE1 N JH IY0 +GANGING G AE1 NG IH0 NG +GANGL G AE1 NG G AH0 L +GANGLIA G AE1 NG G L IY0 AA0 +GANGLION G AE1 NG G L IY0 AA0 N +GANGLIONIC G AE2 NG G L IY0 AA1 N IH0 K +GANGLOFF G AE1 NG G L AO0 F +GANGLY G AE1 NG L IY0 +GANGPLANK G AE1 NG P L AE2 NG K +GANGRENE G AE1 N G R IY0 N +GANGS G AE1 NG Z +GANGSTA G AE1 NG S T AH0 +GANGSTER G AE1 NG S T ER0 +GANGSTERS G AE1 NG S T ER0 Z +GANGWER G AE1 NG W ER0 +GANIC G AE1 N IH0 K +GANIM G AE1 N IH0 M +GANIS G AE1 N IH0 S +GANLEY G AE1 N L IY0 +GANN G AE1 N +GANNAWAY G AE1 N AH0 W EY0 +GANNETT G AE1 N IH0 T +GANNETT'S G AE1 N AH0 T S +GANNON G AE1 N AH0 N +GANO G AA1 N OW0 +GANOE G AE1 N OW0 +GANONG G AE1 N AO0 NG +GANS G AE1 N Z +GANSEN G AE1 N S AH0 N +GANSER G AE1 N S ER0 +GANSKE G AE1 N S K +GANSON G AE1 N S AH0 N +GANSTER G AE1 N S T ER0 +GANT G AE1 N T +GANTENBEIN G AE1 N T IH0 N B AY0 N +GANTER G AE1 N T ER0 +GANTLET G AO1 N T L AH0 T +GANTNER G AE1 N T N ER0 +GANTOS G AE1 N T OW0 S +GANTRY G AE1 N T R IY0 +GANTT G AE1 N T +GANTZ G AE1 N T S +GANUS G EY1 N IH0 S +GANYMEDE G AE1 N AH0 M IY2 D +GANZ G AE1 N Z +GANZEL G AE1 N Z AH0 L +GANZER G AE1 N Z ER0 +GAO G AW1 +GAONA G AA0 OW1 N AH0 +GAP G AE1 P +GAP'S G AE1 P S +GAPE G EY1 P +GAPING G EY1 P IH0 NG +GAPINSKI G AH0 P IH1 N S K IY0 +GAPP G AE1 P +GAPPA G AE1 P AH0 +GAPS G AE1 P S +GAR G AA1 R +GARA G AE1 R AH0 +GARABEDIAN G AE2 R AH0 B IY1 D IY0 AH0 N +GARAFALO G AA0 R AA0 F AA1 L OW0 +GARAFOLA G AA0 R AA0 F OW1 L AH0 +GARAGE G ER0 AA1 ZH +GARAGES G ER0 AA1 ZH IH0 Z +GARAGIOLA G ER0 AE2 JH IY0 OW1 L AH0 +GARAGIOLA(2) G EH2 R AH0 JH IY0 OW1 L AH0 +GARAJDA G ER0 AA1 ZH D AH0 +GARAJDA(2) G AO0 R AA1 ZH D AH0 +GARAJDA'S G ER0 AA1 ZH D AH0 Z +GARAJDA'S(2) G AO0 R AA1 ZH D AH0 Z +GARAMENDI G EH2 R AH0 M EH1 N D IY0 +GARAMENDI'S G EH2 R AH0 M EH1 N D IY0 Z +GARAND G AE1 R AH0 N D +GARANT G AA1 R AH0 N T +GARARD G ER0 AA1 R D +GARAVAGLIA G AA0 R AA0 V AA1 G L IY0 AH0 +GARAY G AE1 R EY0 +GARB G AA1 R B +GARBACZ G AA1 R B AH0 CH +GARBAGE G AA1 R B IH0 JH +GARBARINI G AA0 R B AA0 R IY1 N IY0 +GARBARINO G AA0 R B AA0 R IY1 N OW0 +GARBE G AA1 R B +GARBED G AA1 R B D +GARBER G AA1 R B ER0 +GARBERS G AA1 R B ER0 Z +GARBETT G AA1 R B IH0 T +GARBLE G AA1 R B AH0 L +GARBLED G AA1 R B AH0 L D +GARBLES G AA1 R B AH0 L Z +GARBLING G AA1 R B L IH0 NG +GARBO G AA1 R B OW0 +GARBUTT G AA1 R B AH0 T +GARCEAU G AA0 R S OW1 +GARCES G AA1 R S EH0 S +GARCETTI G AA2 R CH EH1 T IY0 +GARCETTI'S G AA2 R CH EH1 T IY0 Z +GARCIA G AA2 R S IY1 AH0 +GARCIA'S G AA0 R S IY1 AH0 Z +GARCIAS G AA0 R S IY1 AH0 Z +GARCZYNSKI G ER0 CH IH1 N S K IY0 +GARD G AA1 R D +GARDA G AA1 R D AH0 +GARDE G AA1 R D +GARDEA G AA1 R D IY0 AH0 +GARDELLA G AA2 R D EH1 L AH0 +GARDEN G AA1 R D AH0 N +GARDEN'S G AA1 R D AH0 N Z +GARDENA G AA0 R D IY1 N AH0 +GARDENAMERICA G AA2 R D AH0 N AH0 M EH1 R IH0 K AH0 +GARDENED G AA1 R D AH0 N D +GARDENER G AA1 R D AH0 N ER0 +GARDENER'S G AA1 R D AH0 N ER0 Z +GARDENERS G AA1 R D AH0 N ER0 Z +GARDENERS(2) G AA1 R D N ER0 Z +GARDENHIRE G AA1 R D AH0 N HH AY2 R +GARDENIA G AA0 R D IY1 N Y AH0 +GARDENIAS G AA0 R D IY1 N Y AH0 Z +GARDENING G AA1 R D AH0 N IH0 NG +GARDENING(2) G AA1 R D N IH0 NG +GARDENS G AA1 R D AH0 N Z +GARDIN G AA1 R D IH0 N +GARDINER G AA1 R D N ER0 +GARDINI G AA0 R D IY1 N IY0 +GARDINI'S G AA0 R D IY1 N IY0 Z +GARDINIER G AA1 R D IH0 N IY0 ER0 +GARDINIER(2) G AA1 R D IH0 N Y ER0 +GARDNER G AA1 R D N ER0 +GARDNER'S G AA1 R D N ER0 Z +GARDOLIN G AA1 R D OW0 L IH0 N +GARDOLIN'S G AA1 R D OW0 L IH0 N Z +GARDUNO G AA0 R D UW1 N OW0 +GARDYNE G AA1 R D AY2 N +GARE G EH1 R +GAREAU G ER0 OW1 +GARED G AE1 R AH0 D +GARELICK G AE1 R IH0 L IH0 K +GARETH G EH1 R IH0 TH +GARETT G AE1 R IH0 T +GAREY G AE1 R IY0 +GARFIELD G AA1 R F IY2 L D +GARFINKEL G AA1 R F IH0 NG K AH0 L +GARFINKLE G AA1 R F IH2 NG K AH0 L +GARFUNKEL G AA1 R F AH0 NG K AH0 L +GARG G AA1 R G +GARGAN G AA1 R G AH0 N +GARGANO G AA0 R G AA1 N OW0 +GARGANTUAN G AA0 R G AE1 N CH UW0 AH0 N +GARGER G AA1 R G ER0 +GARGES G AA1 R JH IH0 Z +GARGILL G AA1 R JH IH0 L +GARGIS G AA1 R G IH0 S +GARGIULO G AA1 R JH UW0 L OW0 +GARGOYLE G AA1 R G OY2 L +GARGOYLES G AA1 R G OY2 L Z +GARGUILO G AA0 R G W IY1 L OW0 +GARGUS G AA1 R G AH0 S +GARI G AA1 R IY0 +GARIBALDI G AE2 R AH0 B AO1 L D IY0 +GARIBAY G AE1 R IH0 B EY0 +GARIEPY G ER0 IY1 P IY0 +GARIN G EH1 R IH0 N +GARING G EH1 R IH0 NG +GARINGER G EH1 R IH0 NG ER0 +GARIS G AE1 R IH0 S +GARISH G EH1 R IH0 SH +GARISSA G AH0 R IH1 S AH0 +GARITY G AE1 R IH0 T IY0 +GARL G AA1 R L +GARLAN G AA1 R L AH0 N +GARLAND G AA1 R L AH0 N D +GARLIC G AA1 R L IH0 K +GARLICK G AA1 R L IH0 K +GARLICKY G AA1 R L IH0 K IY0 +GARLING G AA1 R L IH0 NG +GARLINGER G AA1 R L IH0 NG ER0 +GARLINGHOUSE G AA1 R L IH0 NG HH AW2 S +GARLINGTON G AA1 R L IH0 NG T AH0 N +GARLITZ G AA1 R L IH0 T S +GARLOCK G AA1 R L AH0 K +GARLOW G AA1 R L OW0 +GARMAN G AA1 R M AH0 N +GARMANY G ER0 M AO1 N IY0 +GARMENT G AA1 R M AH0 N T +GARMENTS G AA1 R M AH0 N T S +GARMON G AA1 R M AH0 N +GARMOND G AA1 R M AH0 N D +GARMS G AA1 R M Z +GARMUND G AA1 R M AH0 N D +GARN G AA1 R N +GARNEAU G AA0 R N OW1 +GARNELL G AA0 R N EH1 L +GARNER G AA1 R N ER0 +GARNERED G AA1 R N ER0 D +GARNERING G AA1 R N ER0 IH0 NG +GARNERS G AA1 R N ER0 Z +GARNES G AA1 R N Z +GARNET G AA1 R N AH0 T +GARNETT G AA1 R N IH0 T +GARNETTE G AA0 R N EH1 T +GARNEY G AA1 R N IY0 +GARNICA G AA0 R N IY1 K AH0 +GARNIER G AA1 R N IY0 ER0 +GARNISH G AA1 R N IH0 SH +GARNISHED G AA1 R N IH0 SH T +GARNISHES G AA1 R N IH0 SH AH0 Z +GARNISHMENT G AA1 R N IH0 SH M AH0 N T +GARNO G AA1 R N OW0 +GARNOCK G AA1 R N AH0 K +GARNSEY G AA1 R N S IY0 +GARO G EH1 R OW0 +GAROFALO G AA0 R OW0 F AA1 L OW0 +GAROFANO G AA0 R OW0 F AA1 N OW0 +GAROFOLO G EH0 R AH0 F OW1 L AH0 +GAROLS G AE1 R AO0 L Z +GARON G AA0 R AO1 N +GARONE G ER0 OW1 N +GARONZIK G ER0 AA1 N Z IH0 K +GAROUTTE G ER0 UW1 T +GARP G AA1 R P +GARP'S G AA1 R P S +GARPS G AA1 R P S +GARR G AE1 R +GARRABRANT G AA0 R AA1 B R AH0 N T +GARRAHAN G AE1 R AH0 HH AE0 N +GARRAMONE G AE1 R AH0 M OW2 N +GARRARD G AE1 R ER0 D +GARRATT G EH1 R AH0 T +GARRAWAY G AE1 R AH0 W EY0 +GARRELL G AA0 R EY1 L +GARRELS G AE1 R AH0 L Z +GARRELTS G AE1 R IH0 L T S +GARREN G AA1 R AH0 N +GARRET G EH1 R IH0 T +GARRET'S G EH1 R AH0 T S +GARRETS G EH1 R AH0 T S +GARRETSON G AE1 R IH0 T S AH0 N +GARRETT G AE1 R IH0 T +GARRETT(2) G EH1 R IH0 T +GARRETT'S G AE1 R IH0 T Z +GARRETT'S(2) G EH1 R IH0 T Z +GARRETTE G ER0 EH1 T +GARREY G AE1 R IY0 +GARRICK G EH1 R IH0 K +GARRIDO G AA0 R IY1 D OW0 +GARRIDO-LUNA G AA0 R IY1 D OW0 L UW1 N AH0 +GARRIGA G AE1 R IH0 G AH0 +GARRIGAN G AE1 R IH0 G AH0 N +GARRIGUES G AA0 R IY1 G EH0 S +GARRIGUS G AA0 R IY1 G IH0 S +GARRINGER G AE1 R IH0 NG ER0 +GARRIOTT G AE1 R IY0 AH0 T +GARRIS G AE1 R IH0 S +GARRISON G AE1 R IH0 S AH0 N +GARRISONED G AE1 R AH0 S AH0 N D +GARRITANO G AA0 R IY0 T AA1 N OW0 +GARRITT G AE1 R IH0 T +GARRITY G EH1 R IH0 T IY0 +GARRO G AA1 R OW0 +GARROD G AE1 R AH0 D +GARROL G AE1 R AH0 L +GARROLS G AE1 R AH0 L Z +GARRON G AE1 R AH0 N +GARRON'S G EH1 R AH0 N Z +GARROS G EH1 R OW0 S +GARROTT G AE1 R AH0 T +GARROW G EH1 R OW0 +GARROWAY G AE1 R OW0 W EY2 +GARROZ G AE1 R AH0 Z +GARRULOUS G EH1 R AH0 L AH0 S +GARRY G AE1 R IY0 +GARRY(2) G EH1 R IY0 +GARS G AA1 R Z +GARSIDE G AA1 R S AY2 D +GARSKE G AA1 R S K +GARSON G AA1 R S AH0 N +GARST G AA1 R S T +GARSTEN G AA1 R S T EH0 N +GARSTEN'S G AA1 R S T EH0 N Z +GARSTIN G AA1 R S T AH0 N +GARSTKA G AA1 R S T K AH0 +GARSTON G AA1 R S T AH0 N +GARTEN G AA1 R T AH0 N +GARTENBERG G AA1 R T AH0 N B ER0 G +GARTER G AA1 R T ER0 +GARTERS G AA1 R T ER0 Z +GARTH G AA1 R TH +GARTHWAITE G AA1 R TH W EY2 T +GARTIN G AA1 R T IH0 N +GARTLAND G AA1 R T L AH0 N D +GARTLEY G AA1 R T L IY0 +GARTMAN G AA1 R T M AH0 N +GARTMORE G AA1 R T M AO2 R +GARTNER G AA1 R T N ER0 +GARTON G AA1 R T AH0 N +GARTRELL G AA1 R T R AH0 L +GARTSIDE G AA1 R T S AY2 D +GARTZKE G AA1 R T S K +GARTZKE(2) G AA1 R T S K IY0 +GARUDA G AH0 R UW1 D AH0 +GARUDA'S G AH0 R UW1 D AH0 Z +GARVER G AA1 R V ER0 +GARVER'S G AA1 R V ER0 Z +GARVERICK G AA1 R V ER0 IH0 K +GARVEY G AA1 R V IY0 +GARVIE G AA1 R V IY0 +GARVIN G AA1 R V IH0 N +GARWIN G AA1 R W IH0 N +GARWOOD G AA1 R W UH2 D +GARY G EH1 R IY0 +GARY(2) G AE1 R IY0 +GARY'S G EH1 R IY0 Z +GARY'S(2) G AE1 R IY0 Z +GARZA G AA1 R Z AH0 +GARZARELLI G AA1 R Z ER0 EH2 L IY0 +GARZON G AA1 R Z AH0 N +GAS G AE1 S +GAS'S G AE1 S IH0 Z +GASAWAY G AE1 S AH0 W EY2 +GASBARRO G AA0 S B AA1 R OW0 +GASCA G AA1 S K AH0 +GASCON G AE1 S K AH0 N +GASCONS G AE1 S K AH0 N Z +GASE G EY1 Z +GASEOUS G AE1 S IY0 AH0 S +GASES G AE1 S AH0 Z +GASES(2) G AE1 S IH0 Z +GASH G AE1 SH +GASHED G AE1 SH T +GASHES G AE1 SH AH0 Z +GASICH G EY1 Z IH0 K +GASIFICATION G AE2 S AH0 F AH0 K EY1 SH AH0 N +GASIFY G AE2 S AH0 F AY2 +GASIOR G AE1 S IY0 ER0 +GASIOROWSKI G AH0 S IY0 AO0 R AO1 F S K IY0 +GASKA G AA1 S K AH0 +GASKAMP G AE1 S K AE2 M P +GASKELL G AE1 S K AH0 L +GASKET G AE1 S K AH0 T +GASKETS G AE1 S K AH0 T S +GASKEY G AE1 S K IY2 +GASKILL G AE1 S K IH2 L +GASKIN G AE1 S K IH0 N +GASKINS G AE1 S K IH0 N Z +GASLIGHT G AE1 S L AY0 T +GASNER G AE1 S N ER0 +GASOHOL G AE1 S AH0 HH AO2 L +GASOLINE G AE1 S AH0 L IY2 N +GASOLINES G AE2 S AH0 L IY1 N Z +GASP G AE1 S P +GASPAR G AE1 S P ER0 +GASPARA G AH0 S P AA1 R AH0 +GASPARD G AH0 S P AA1 R D +GASPARI G AA0 S P AA1 R IY0 +GASPARINI G AA0 S P AA0 R IY1 N IY0 +GASPARRO G AA0 S P AA1 R OW0 +GASPE G AE1 S P IY0 +GASPED G AE1 S P T +GASPER G AE1 S P ER0 +GASPERINI G AA0 S P ER0 IY1 N IY0 +GASPING G AE1 S P IH0 NG +GASPS G AE1 S P S +GASQUE G EY1 S K +GASS G AE1 S +GASSAWAY G AE1 S AH0 W EY0 +GASSED G AE1 S T +GASSEE G AE1 S IY1 +GASSEN G AE1 S AH0 N +GASSER G AE1 S ER0 +GASSERT G AE1 S ER0 T +GASSES G AE1 S IH0 Z +GASSETT G AE1 S IH0 T +GASSING G AE1 S IH0 NG +GASSMAN G AE1 S M AH0 N +GASSMANN G AE1 S M AH0 N +GASSNER G AE1 S N ER0 +GAST G AE1 S T +GASTELLI G AH0 S T EH1 L IY0 +GASTER G AE1 S T ER0 +GASTILUM G EY1 S T IH0 L AH0 M +GASTINEAU G AE1 S T IH0 N OW2 +GASTON G AE1 S T AH0 N +GASTON'S G AE1 S T AH0 N Z +GASTONIA G AH0 S T OW1 N IY0 AH0 +GASTRIC G AE1 S T R IH0 K +GASTRITIS G AE0 S T R AY1 T AH0 S +GASTRO G AE1 S T R OW0 +GASTROINTESTINAL G AE2 S T R OW0 IH0 N T EH1 S T AH0 N AH0 L +GASTRONOMIC G AH0 S T R AA2 N AA1 M IH0 K +GASTRONOMY G AE0 S T R AA1 N AH0 M IY0 +GASTROSCOPE G AE1 S T R AH0 S K OW2 P +GASTROVASCULAR G AE2 S T R OW0 V AE1 S K Y AH0 L ER0 +GASTRULATE G AE1 S T R AH0 L EY2 T +GASTRULATION G AE2 S T R AH0 L EY1 SH AH0 N +GAT G AE1 T +GATCH G AE1 CH +GATCHEL G AE1 CH AH0 L +GATCHELL G AE1 CH AH0 L +GATE G EY1 T +GATEAU G AA0 T OW1 +GATED G EY1 T IH0 D +GATEKEEPER G EY1 T K IY2 P ER0 +GATEKEEPERS G EY1 T K IY2 P ER0 Z +GATELEY G AE1 T IH0 L IY0 +GATELEY(2) G EY1 T L IY0 +GATELY G EY1 T L IY0 +GATES G EY1 T S +GATES' G EY1 T S +GATES'S G EY1 T S IH0 Z +GATES'S(2) G EY1 T S +GATEWAY G EY1 T W EY2 +GATEWAY'S G EY1 T W EY2 Z +GATEWAYS G EY1 T W EY2 Z +GATEWOOD G EY1 T W UH2 D +GATH G AE1 TH +GATHER G AE1 DH ER0 +GATHERED G AE1 DH ER0 D +GATHERER G AE1 DH ER0 ER0 +GATHERERS G AE1 DH ER0 ER0 Z +GATHERING G AE1 DH ER0 IH0 NG +GATHERINGS G AE1 DH ER0 IH0 NG Z +GATHERS G AE1 DH ER0 Z +GATHINGS G AE1 TH IH0 NG Z +GATHMAN G AE1 TH M AH0 N +GATHRIGHT G AE1 TH R AY2 T +GATIEN G EY1 T Y EH0 N +GATING G EY1 T IH0 NG +GATLEY G AE1 T L IY0 +GATLIFF G AE1 T L IH0 F +GATLIN G AE1 T L IH0 N +GATLING G AE1 T L IH0 NG +GATLING'S G AE1 T L IH0 NG Z +GATOIL G AH0 T OY1 L +GATOR G EY1 T ER0 +GATORADE G AE1 T ER0 EY2 D +GATORS G EY1 T ER0 Z +GATOS G AA1 T OW2 S +GATOS(2) G AE1 T OW2 S +GATOS(3) G EY1 T OW2 S +GATOS(4) G EY1 T OW0 S +GATRELL G AE1 T R AH0 L +GATSBY G AE1 T S B IY0 +GATSON G AE1 T S AH0 N +GATT G AE1 T +GATTEN G AE1 T AH0 N +GATTI G AE1 T IY0 +GATTING G AE1 T IH0 NG +GATTIS G AE1 T 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AA2 N Z +GERMOND G ER1 M AH0 N D +GERMS JH ER1 M Z +GERNER G ER1 N ER0 +GERNERT G ER1 N ER0 T +GERO JH EH1 R OW0 +GEROLD G EH1 R OW0 L D +GEROME G EH1 R AH0 M +GERON JH EH1 R AH0 N +GERONIMO JH AH0 R AO1 N IH0 M OW2 +GERONTOLOGIST JH EH2 R AH0 N T AA1 L AH0 JH IH0 S T +GERONTOLOGY JH EH2 R AH0 N T AA1 L AH0 JH IY0 +GEROUX ZH ER0 UW1 +GEROW JH EH1 R OW0 +GERRALD JH EH1 R AH0 L D +GERRI JH EH1 R IY0 +GERRICK JH EH1 R IH0 K +GERRIE JH EH1 R IY0 +GERRINGER JH EH1 R IH0 NG ER0 +GERRISH JH EH1 R IH0 SH +GERRIT JH EH1 R IH0 T +GERRITS JH EH1 R IH0 T S +GERRITSEN G EH1 R IH0 T S AH0 N +GERRITY JH EH1 R IH0 T IY0 +GERRY JH EH1 R IY0 +GERRY'S JH EH1 R IY0 Z +GERRYMANDER JH EH1 R IY0 M AE2 N D ER0 +GERRYMANDERED JH EH2 R IY0 M AE1 N D ER0 D +GERRYMANDERING JH EH2 R IY0 M AE1 N D ER0 IH0 NG +GERRYMANDERS JH EH1 R IY0 M AE2 N D ER0 Z +GERSCH G ER1 SH +GERSH G ER1 SH +GERSHMAN G ER1 SH M AH0 N +GERSHON G ER1 SH AH0 N +GERSHOWITZ G ER1 SH AH0 W IH0 T S +GERSHWIN G ER1 SH W IH0 N +GERSHWIN'S G ER1 SH W IH0 N Z +GERSKI G ER1 S K IY0 +GERSON JH ER1 S AH0 N +GERSON(2) G ER1 S AH0 N +GERST G ER1 S T +GERSTEIN G ER1 S T AY0 N +GERSTEIN(2) G ER1 S T IY0 N +GERSTEL G ER1 S T AH0 L +GERSTEN G ER1 S T AH0 N +GERSTENBERGER G ER1 S T AH0 N B ER0 G ER0 +GERSTENHABER G ER1 S T AH0 N HH EY2 B ER0 +GERSTER G ER1 S T ER0 +GERSTMAN G ER1 S T M AH0 N +GERSTNER G ER1 S T N ER0 +GERSTNER'S G ER1 S T N ER0 Z +GERSZEWSKI G ER0 SH EH1 F S K IY0 +GERT G ER1 T +GERTH G ER1 TH +GERTIE JH ER1 T IY0 +GERTLER G ER1 T AH0 L ER0 +GERTLER(2) G ER1 T L ER0 +GERTNER G ER1 T N ER0 +GERTRUD G ER1 T R UW0 D +GERTRUDE G ER1 T R UW0 D +GERTSCH G ER1 CH +GERTY JH ER1 T IY0 +GERTZ G ER1 T S +GERUND JH EH1 R AH0 N D +GERUNDS JH EH1 R AH0 N D Z +GERVAIS ZH ER0 V EY1 +GERVASE G ER1 V AH0 S +GERVASI JH ER0 V AA1 S IY0 +GERVASIO JH ER0 V AA1 S IY0 OW0 +GERWIG G ER1 W IH0 G +GERWIN G ER1 W IH0 N +GERY JH EH1 R IY0 +GESAMTMETALL G EH0 S AE1 M T M EH2 T AH0 L +GESCHKE G EH1 SH K +GESCO G EH1 S K OW0 +GESELL G EH1 S AH0 L 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JH AH0 V AA1 N IY0 +GIOVANNI'S JH IY2 OW0 V AA1 N IY0 Z +GIOVANNI'S(2) JH AH0 V AA1 N IY0 Z +GIOVANNIELLO JH OW0 V AA2 N IY0 EH1 L OW0 +GIOVANNINI JH OW0 V AA0 N IY1 N IY0 +GIOVANNONI JH OW0 V AA0 N OW1 N IY0 +GIOVENCO JH OW0 V EH1 N K OW0 +GIOVINAZZO JH OW0 V IY0 N AA1 Z OW0 +GIPE JH AY1 P +GIPP JH IH1 P +GIPPER G IH1 P ER0 +GIPPLE JH IH1 P AH0 L +GIPSON G IY1 P S AH0 N +GIRAFFE JH ER0 AE1 F +GIRAFFES JH ER0 AE1 F S +GIRALDO JH IH0 R AA1 L D OW0 +GIRARD JH ER0 AA1 R D +GIRARDI JH IH0 R AA1 R D IY0 +GIRARDIN ZH IH2 R AA1 R D EH0 N +GIRARDOT ZH IH1 R AA2 R D OW0 +GIRAUD ZH AY0 R OW1 +GIRD G ER1 D +GIRDER G ER1 D ER0 +GIRDERS G ER1 D ER0 Z +GIRDING G ER1 D IH0 NG +GIRDLE G ER1 D AH0 L +GIRDLER G ER1 D AH0 L ER0 +GIRDLER(2) G ER1 D L ER0 +GIRDLEY G ER1 D L IY0 +GIRDNER G ER1 D N ER0 +GIRDS G ER1 D Z +GIRE G AY1 R +GIREN G IH1 R AH0 N +GIREN(2) JH IH1 R AH0 N +GIRGENTI JH IH0 R JH EH1 N T IY0 +GIRGIS G ER1 G IH0 S +GIRIJA G IH2 R IY1 JH AH0 +GIRL G ER1 L +GIRL'S G ER1 L Z +GIRLFRIEND G ER1 L F R EH2 N D +GIRLFRIEND'S G ER1 L F R EH2 N D Z +GIRLFRIENDS G ER1 L F R EH2 N D Z +GIRLHOOD G ER1 L HH UH2 D +GIRLIE G ER1 L IY0 +GIRLISH G ER1 L IH0 SH +GIRLISHLY G ER1 L IH0 SH L IY0 +GIRLS G ER1 L Z +GIRLS' G ER1 L Z +GIROBANK G IH1 R OW0 B AE2 NG K +GIROD ZH ER0 AA1 D +GIROIR ZH AY0 R W AA1 R +GIROLAMO JH IH0 R OW0 L AA1 M OW0 +GIROLDI G IH0 R OW1 L D IY0 +GIROLDI'S G IH0 R OW1 L D IY0 Z +GIRON ZH IH1 R AH0 N +GIRONDE JH ER0 AO1 N D +GIROUARD ZH AY1 R UW0 ER0 D +GIROUX ZH IH0 R UW1 +GIROZENTRALE G IH0 R OW1 Z AH0 N T R AA2 L +GIRSKY G ER1 S K IY0 +GIRT G ER1 T +GIRTEN G ER1 T AH0 N +GIRTH G ER1 TH +GIRTMAN G ER1 T M AH0 N +GIRTON G ER1 T AH0 N +GIRVAN G ER1 V AH0 N +GIRVEN G ER1 V AH0 N +GIRVIN G ER1 V IH0 N +GISBERT JH IH1 S B ER0 T +GISBERT(2) G IH1 S B ER0 T +GISCARD G IH0 S K AA1 R D +GISCARD(2) ZH IH0 S K AA1 R +GISCLAIR ZH IH0 S K L EH1 R +GISELA G IY1 Z AH0 L AH0 +GISELLA JH IH0 S EH1 L AH0 +GISELLE ZH IH0 S EH1 L +GISENYI JH IH0 S EH1 N IY0 +GISENYI(2) JH IH0 S EH1 N Y IY0 +GISH JH IH1 SH +GISH(2) G IH1 SH +GISI JH IY1 S IY0 +GISLER G IH1 S AH0 L ER0 +GISLER(2) G IH1 S L ER0 +GISMONDI JH IY0 S M OW1 N D IY0 +GISSENDANNER G IH1 S IH0 N D AH0 N ER0 +GISSI G IH1 S IY0 +GIST JH IH1 S T +GISU JH IH1 S UW0 +GIT G IH1 T +GITANA JH IY0 T AE1 N AH0 +GITANO G IH0 T AA1 N OW0 +GITANO'S G IH0 T AA1 N OW0 Z +GITCHELL JH IH1 CH AH0 L +GITHA JH IH1 DH AH0 +GITHENS G IH1 TH AH0 N Z +GITHUB G IH1 T HH AH0 B +GITLIN JH IH1 T L IH0 N +GITTELMAN G IH1 T AH0 L M AH0 N +GITTENS G IH1 T AH0 N Z +GITTER G IH1 T ER0 +GITTINGS JH IH1 T IH0 NG Z +GITTINS JH IH1 T IH0 N Z +GITTIS JH IH1 T AH0 S +GITTIS(2) G IH1 T IH0 S +GITTLEMAN G IH1 T AH0 L M AH0 N +GITTLEMAN'S G IH1 T AH0 L M AH0 N Z +GITTLER G IH1 T L ER0 +GITTO JH IY1 T OW0 +GIUDICE JH UW1 D IH0 S IY0 +GIUDICI JH UW1 D IH0 CH IY0 +GIUFFRE JH UW1 F R IY0 +GIUFFRE'S JH UW1 F R IY0 Z +GIUFFRIDA JH UW1 F R IY0 D AH0 +GIULIANI JH UW2 L IY0 AA1 N IY0 +GIULIANI'S JH UW2 L IY0 AA1 N IY0 Z +GIULIANO JH UW2 L IY0 AA1 N OW0 +GIULIO JH UW1 L IY0 OW0 +GIUNTA JH UW1 N T AH0 +GIURESCU JH UW2 R EH1 S K UW0 +GIUSEPPE JH IH0 S EH1 P IY0 +GIUSTI JH UW1 S T IY0 +GIUSTO JH UW1 S T OW0 +GIVAN G IH1 V AH0 N +GIVE G IH1 V +GIVEAWAY G IH1 V AH0 W EY2 +GIVEAWAYS G IH1 V AH0 W EY2 Z +GIVEBACK G IH1 V B AE2 K +GIVEBACKS G IH1 V B AE2 K S +GIVEN G IH1 V AH0 N +GIVEN(2) G IH1 V IH0 N +GIVENCHY G IH0 V EH1 N CH IY0 +GIVENNESS G IH1 V AH0 N AH0 S +GIVENS G IH1 V AH0 N Z +GIVENS'S G IH1 V AH0 N Z IH0 Z +GIVER G IH1 V ER0 +GIVERS G IH1 V ER0 Z +GIVES G IH1 V Z +GIVETH G IH1 V EH0 TH +GIVHAN G IH1 V HH AH0 N +GIVIN' G IH1 V IH0 N +GIVING G IH1 V IH0 NG +GIVING-FEAST G IH1 V IH0 NG F IY2 S T +GIVINS G IH1 V IH0 N Z +GIVLER G IH1 V L ER0 +GIZA G IH1 Z AH0 +GIZA(2) G IY1 Z AH0 +GIZBERT G IH1 Z B ER0 T +GIZBERT'S G IH1 Z B ER0 T S +GIZMO G IH1 Z M OW2 +GIZMOS G IH1 Z M OW0 Z +GIZZARD G IH1 Z ER0 D +GIZZI JH IY1 T S IY0 +GJELTEN JH EH1 L T AH0 N +GJELTEN'S JH EH1 L T AH0 N Z +GJERDE JH ER1 D +GLAAB G L AA1 B +GLAB G L AE1 B +GLACE G L EY1 S +GLACIAL G L EY1 SH AH0 L +GLACIATE G L EY1 SH IY0 EY2 T +GLACIATE(2) G L EY1 S IY0 EY2 T +GLACIATED G L EY1 SH IY0 EY2 T AH0 D +GLACIATED(2) G L EY1 S IY0 EY2 T AH0 D +GLACIATION G L EY2 SH IY0 EY1 SH AH0 N +GLACIER G L EY1 SH ER0 +GLACIER'S G L EY1 SH ER0 Z +GLACIERS G L EY1 SH ER0 Z +GLACIS G L EY1 S AH0 S +GLACKEN G L AE1 K AH0 N +GLACKIN G L AE1 K IH0 N +GLAD G L AE1 D +GLADD G L AE1 D +GLADDEN G L AE1 D AH0 N +GLADDING G L AE1 D IH0 NG +GLADDOCK G L AE1 D AH0 K +GLADE G L EY1 D +GLADES G L EY1 D Z +GLADFELTER G L AE1 D F EH2 L T ER0 +GLADHILL G L AE1 D HH IH2 L +GLADIATOR G L AE1 D IY0 EY2 T ER0 +GLADIATORS G L AE1 D IY0 EY2 T ER0 Z +GLADIEUX G L AE1 D IY0 OW0 +GLADIOLUS G L AE2 D IY0 OW1 L AH0 S +GLADIS G L AE1 D IH0 S +GLADISH G L AE1 D IH0 SH +GLADJE G L AE1 D JH IY2 +GLADLY G L AE1 D L IY0 +GLADMAN G L AE1 D M AH0 N +GLADNEY G L AE1 D N IY0 +GLADSON G L AE1 D S AH0 N +GLADSTEIN G L AE1 D S T AY2 N +GLADSTEIN(2) G L AE1 D S T IY2 N +GLADSTONE G L AE1 D S T OW2 N +GLADSTONES G L AE1 D S T OW2 N Z +GLADU G L EY1 D UW0 +GLADWELL G L AE1 D W EH2 L +GLADWIN G L AE1 D W IH0 N +GLADYS G L AE1 D IH0 S +GLADYS' G L AE1 D IH0 S +GLAESER G L EY1 Z ER0 +GLAHN G L AE1 N +GLAM G L AE1 M +GLAMOR G L AE1 M ER0 +GLAMORIZE G L AE1 M ER0 AY2 Z +GLAMORIZED G L AE1 M ER0 AY0 Z D +GLAMORIZING G L AE1 M ER0 AY0 Z IH0 NG +GLAMOROUS G L AE1 M ER0 AH0 S +GLAMOUR G L AE1 M ER0 +GLANCE G L AE1 N S +GLANCED G L AE1 N S T +GLANCES G L AE1 N S IH0 Z +GLANCING G L AE1 N S IH0 NG +GLANCY G L AE1 N S IY0 +GLAND G L AE1 N D +GLANDER G L AE1 N D ER0 +GLANDON G L AE1 N D AH0 N +GLANDS G L AE1 N D Z +GLANDULAR G L AE1 N JH AH0 L ER0 +GLANTON G L AE1 N T AH0 N +GLANTZ G L AE1 N T S +GLANVILLE G L AE1 N V IH2 L +GLANZ G L AE1 N Z +GLANZER G L AE1 N Z ER0 +GLANZMAN G L AE1 N Z M AH0 N +GLARE G L EH1 R +GLARED G L EH1 R D +GLARES G L EH1 R Z +GLARING G L EH1 R IH0 NG +GLARIS G L EH1 R IH0 S +GLAS G L AE1 S +GLASBY G L AE1 S B IY0 +GLASCO G L AA1 S K OW0 +GLASCOCK G L AE1 S K AH0 K +GLASCOE G L AE1 S K OW0 +GLASER G L EY1 Z ER0 +GLASGOW G L AE1 S K OW2 +GLASGOW(2) G L AE1 S G OW2 +GLASHEEN G L AH0 SH IY1 N +GLASHOW G L AE1 SH AW0 +GLASNER G L AE1 S N ER0 +GLASNOST G L AE1 S N AA0 S T +GLASNOST(2) G L AO1 S T N OW2 S T +GLASNOST(3) G L AO1 S N OW2 S T +GLASOW G L EY1 Z OW0 +GLASPER G L AE1 S P ER0 +GLASPIE G L AE1 S P IY0 +GLASPY G L AE1 S P IY0 +GLASS G L AE1 S +GLASS'S G L AE1 S IH0 Z +GLASSBERG G L AE1 S B ER0 G +GLASSBLOWER G L AE1 S B L OW2 ER0 +GLASSBLOWERS G L AE1 S B L OW2 ER0 Z +GLASSBLOWING G L AE1 S B L OW2 IH0 NG +GLASSBURN G L AE1 S B ER2 N +GLASSCO G L AE1 S K OW0 +GLASSCOCK G L AE1 S K AA2 K +GLASSED G L AE1 S T +GLASSER G L AE1 S ER0 +GLASSES G L AE1 S AH0 Z +GLASSES(2) G L AE1 S IH0 Z +GLASSEY G L AE1 S IY0 +GLASSFORD G L AE1 S F AO0 R D +GLASSLIKE G L AE1 S L AY2 K +GLASSMAKER G L AE1 S M EY2 K ER0 +GLASSMAKING G L AE1 S M EY2 K IH0 NG +GLASSMAN G L AE1 S M AE2 N +GLASSMAN(2) G L AE1 S M AH0 N +GLASSMEYER G L AE1 S M AY0 ER0 +GLASSNER G L AE1 S N ER0 +GLASSON G L AE1 S AH0 N +GLASSWARE G L AE1 S W EH2 R +GLASSY G L AE1 S IY0 +GLASTETTER G L AE1 S T IH0 T ER0 +GLATFELTER G L AE1 T F IH0 L T ER0 +GLATT G L AE1 T +GLATZ G L AE1 T S +GLATZER G L EY1 T Z ER0 +GLAUB G L AO1 B +GLAUBER G L AW1 B ER0 +GLAUCOMA G L AO0 K OW1 M AH0 +GLAUDE G L AO1 D +GLAUS G L AO1 Z +GLAUSER G L AW1 S ER0 +GLAVAN G L EY1 V AH0 N +GLAVIN G L AE1 V IH0 N +GLAVINE G L AE0 V IH1 N +GLAVINE(2) G L AE0 V IY1 N +GLAWE G L AO1 +GLAXO G L AE1 K S OW0 +GLAXO'S G L AE1 K S OW0 Z +GLAZA G L AA1 Z AH0 +GLAZE G L EY1 Z +GLAZEBROOK G L EY1 Z B R UH2 K +GLAZED G L EY1 Z D +GLAZENER G L AE1 Z IY0 N ER0 +GLAZER G L EY1 Z ER0 +GLAZES G L EY1 Z AH0 Z +GLAZES(2) G L EY1 Z IH0 Z +GLAZIER G L EY1 Z IY0 ER0 +GLAZING G L EY1 Z IH0 NG +GLAZNER G L AE1 Z N ER0 +GLAZUNOV G L AE1 Z UW0 N AA0 V +GLEACHER G L IY1 CH ER0 +GLEAM G L IY1 M +GLEAMED G L IY1 M D +GLEAMING G L IY1 M IH0 NG +GLEAMS G L IY1 M Z +GLEAN G L IY1 N +GLEANED G L IY1 N D +GLEASON G L IY1 S AH0 N +GLEASON'S G L IY1 S AH0 N Z +GLEATON G L IY1 T AH0 N +GLEAVE G L IY1 V +GLEAVES G L IY1 V Z +GLEBA G L IY1 B AH0 +GLECKLER G L EH1 K L ER0 +GLEDA G L EY1 D AH0 +GLEDHILL G L EH1 D HH IH2 L +GLEE G L IY1 +GLEEFUL G L IY1 F AH0 L +GLEEFULLY G L IY1 F AH0 L IY0 +GLEESON G L IY1 Z AH0 N +GLEGHORN G L EH1 G HH ER0 N +GLEICH G L AY1 K +GLEICHAUF G L AY1 K AO0 F +GLEIM G L IY1 M +GLEISNER G L AY1 S N ER0 +GLEMP G L EH1 M P +GLEN G L EH1 N +GLENAYRE G L EH2 N EH1 R +GLENAYRE(2) G L EH2 N AY1 R +GLENBROOK G L EH1 N B R UH2 K +GLENDA G L EH1 N D AH0 +GLENDALE G L EH1 N D EY2 L +GLENDENING G L EH1 N D AH0 N IH0 NG +GLENDENNING G L EH1 N D IH0 N IH0 NG +GLENDINNING G L EH1 N D IH0 N IH0 NG +GLENDON G L EH1 N D OW0 N +GLENFED G L EH1 N F EH2 D +GLENFED'S G L EH1 N F EH2 D Z +GLENGARRY G L EH2 N G EH1 R IY0 +GLENHAM G L EH1 N HH AH0 M +GLENHAM(2) G L EH1 N AH0 M +GLENMORE G L EH1 N M AO2 R +GLENN G L EH1 N +GLENN'S G L EH1 N Z +GLENNA G L EH1 N AH0 +GLENNIE G L EH1 N IY0 +GLENNON G L EH1 N AH0 N +GLENNY G L EH1 N IY0 +GLENORA G L AH0 N AO1 R AH0 +GLENS G L EH1 N Z +GLENVIEW G L EH1 N V Y UW2 +GLENVILLE G L EH1 N V IH0 L +GLENWOOD G L EH1 N W UH2 D +GLENWOOD'S G L EH1 N W UH2 D Z +GLESS G L EH1 S +GLESSNER G L EH1 S N ER0 +GLEW G L UW1 +GLIB G L IH1 B +GLIBLY G L IH1 B L IY0 +GLICK G L IH1 K +GLICKENHAUS G L IH1 K AH0 N HH AW2 S +GLICKMAN G L IH1 K M AH0 N +GLICKMAN'S G L IH1 K S M AH0 N Z +GLICKSMAN G L IH1 K S M AH0 N +GLICKSTEIN G L IH1 K S T IY2 N +GLICKSTEIN(2) G L IH1 K S T AY2 N +GLIDDEN G L IH1 D AH0 N +GLIDE G L AY1 D +GLIDED G L AY1 D IH0 D +GLIDER G L AY1 D ER0 +GLIDERS G L AY1 D ER0 Z +GLIDES G L AY1 D Z +GLIDEWELL G L AY1 D W EH2 L +GLIDING G L AY1 D IH0 NG +GLIMCHER G L IH1 M CH ER0 +GLIMMER G L IH1 M ER0 +GLIMMERING G L IH1 M ER0 IH0 NG +GLIMMERS G L IH1 M ER0 Z +GLIMPSE G L IH1 M P S +GLIMPSED G L IH1 M P S T +GLIMPSES G L IH1 M P S IH0 Z +GLINES G L AY1 N Z +GLINKA G L IH1 NG K AH0 +GLINSKI G L IH1 N S K IY0 +GLINT G L IH1 N T +GLINTING G L IH1 N T IH0 NG +GLISSANDI G L AH0 S AA1 N D IY0 +GLISSON G L IH1 S AH0 N +GLISTEN G L IH1 S AH0 N +GLISTENED G L IH1 S AH0 N D +GLISTENING G L IH1 S AH0 N IH0 NG +GLISTENING(2) G L IH1 S N IH0 NG +GLITCH G L IH1 CH +GLITCHES G L IH1 CH IH0 Z +GLITTER G L IH1 T ER0 +GLITTERED G L IH1 T ER0 D +GLITTERING G L IH1 T ER0 IH0 NG +GLITTERS G L IH1 T ER0 Z +GLITTERY G L IH1 T ER0 IY0 +GLITZ G L IH1 T S +GLITZY G L IH1 T S IY0 +GLO G L OW1 +GLOAM G L OW1 M +GLOAMING G L OW1 M IH0 NG +GLOAT G L OW1 T +GLOATED G L OW1 T IH0 D +GLOATING G L OW1 T IH0 NG +GLOATS G L OW1 T S +GLOB G L AA1 B +GLOBAL G L OW1 B AH0 L +GLOBAL'S G L OW1 B AH0 L Z +GLOBALIZATION G L OW2 B AH0 L IH0 Z EY1 SH AH0 N +GLOBALIZE G L OW1 B AH0 L AY2 Z +GLOBALIZED G L OW1 B AH0 L AY2 Z D +GLOBALLY G L OW1 B AH0 L IY0 +GLOBALSTAR G L OW1 B AH0 L S T AA2 R +GLOBCOM G L AA1 B K AA0 M +GLOBE G L OW1 B +GLOBE'S G L OW1 B Z +GLOBES G L OW1 B Z +GLOBETROTTER G L OW1 B T R AO0 T ER0 +GLOBETROTTERS G L OW1 B T R AO0 T ER0 Z +GLOBEX G L OW1 B AH0 K S +GLOBO G L OW1 B OW0 +GLOBS G L AA1 B Z +GLOBULAR G L AA1 B Y AH0 L ER0 +GLOBULIN G L AA1 B Y AH0 L IH0 N +GLOBULINS G L AA1 B Y AH0 L IH0 N Z +GLOBUS G L OW1 B AH0 S +GLOCESTER G L AW1 S T ER0 +GLOCK G L AA1 K +GLOCKENSPIEL G L AA1 K AH0 N S P IY2 L +GLOCKNER G L AA1 K N ER0 +GLOD G L AA1 D +GLODOWSKI G L AH0 D AO1 F S K IY0 +GLOE G L OW1 +GLOECKNER G L OW1 K N ER0 +GLOEDE G L OW1 D +GLOGOWSKI G L AH0 G AO1 F S K IY0 +GLOMAR G L OW1 M AA0 R +GLOMB G L AA1 M +GLOMSKI G L AA1 M S K IY2 +GLONASS G L AA1 N AH0 S +GLOOM G L UW1 M +GLOOMIER G L UW1 M IY0 ER0 +GLOOMILY G L UW1 M AH0 L IY0 +GLOOMY G L UW1 M IY0 +GLOOR G L UH1 R +GLOP G L AA1 P +GLOPPY G L AA1 P IY0 +GLOR G L AO1 R +GLORE G L AO1 R +GLORI G L AO1 R IY0 +GLORIA G L AO1 R IY0 AH0 +GLORIANA G L AO2 R IY0 AE1 N AH0 +GLORIANE G L AO2 R IY0 AE1 N +GLORIES G L AO1 R IY0 Z +GLORIFICATION G L AO2 R AH0 F IH0 K EY1 SH AH0 N +GLORIFICATION(2) G L AO2 R IH0 F IH0 K EY1 SH AH0 N +GLORIFIED G L AO1 R AH0 F AY2 D +GLORIFIES G L AO1 R AH0 F AY2 Z +GLORIFY G L AO1 R AH0 F AY2 +GLORIFYING G L AO1 R AH0 F AY2 IH0 NG +GLORIOSO G L AO0 R IY0 OW1 S OW0 +GLORIOUS G L AO1 R IY0 AH0 S +GLORIOUSLY G L AO1 R IY0 AH0 S L IY0 +GLORY G L AO1 R IY0 +GLOSS G L AO1 S +GLOSSARY G L AO1 S ER0 IY0 +GLOSSED G L AO1 S T +GLOSSER G L AO1 S ER0 +GLOSSES G L AO1 S IH0 Z +GLOSSIER G L AO1 S IY0 ER0 +GLOSSMAN G L AO1 S M AH0 N +GLOSSON G L AA1 S AH0 N +GLOSSY G L AO1 S IY0 +GLOSTER G L AA1 S T ER0 +GLOTFELTY G L AA1 T F IH0 L T IY0 +GLOTTAL G L AA1 T AH0 L +GLOTTIS G L AA1 T AH0 S +GLOTZBACH G L AA1 T S B AA0 K +GLOUCESTER G L AO1 S T ER0 +GLOVE G L AH1 V +GLOVED G L AH1 V D +GLOVER G L AH1 V ER0 +GLOVES G L AH1 V Z +GLOW G L OW1 +GLOWACKI G L AW0 AA1 T S K IY0 +GLOWED G L OW1 D +GLOWER G L AW1 ER0 +GLOWERED G L AW1 ER0 D +GLOWERING G L AW1 ER0 IH0 NG +GLOWING G L OW1 IH0 NG +GLOWINGLY G L OW1 IH0 NG L IY0 +GLOWS G L OW1 Z +GLOYD G L OY1 D +GLUCK G L AH1 K +GLUCK'S G L AH1 K S +GLUCKMAN G L AH1 K M AH0 N +GLUCKSMAN G L AH1 K S M AH0 N +GLUCOSAMATE G L UW0 K AA1 S AH0 M EY2 T 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+GRABOWSKI G R AH0 B AO1 F S K IY0 +GRABOY G R EY1 B OY0 +GRABS G R AE1 B Z +GRABSKI G R AE1 B S K IY2 +GRACE G R EY1 S +GRACE'S G R EY1 S IH0 Z +GRACED G R EY1 S T +GRACEFFA G R AH0 S EH1 F AH0 +GRACEFUL G R EY1 S F AH0 L +GRACEFULLY G R EY1 S F AH0 L IY0 +GRACELAND G R EY1 S L AE0 N D +GRACELESS G R EY1 S L AH0 S +GRACES G R EY1 S IH0 Z +GRACEY G R EY1 S IY0 +GRACHEV G R AA1 CH EH0 V +GRACHEV'S G R AA1 CH EH0 V Z +GRACHOV G R AA1 CH AO1 V +GRACI G R AA1 CH IY0 +GRACIA G R AA1 CH AH0 +GRACIANO G R AA0 CH IY0 AA1 N OW0 +GRACIAS G R AA1 S IY0 AH0 Z +GRACIE G R EY1 S IY0 +GRACILE G R AE1 S AH0 L +GRACING G R EY1 S IH0 NG +GRACIOUS G R EY1 SH AH0 S +GRACIOUSLY G R EY1 SH AH0 S L IY0 +GRACIOUSNESS G R EY1 SH AH0 S N AH0 S +GRACKLE G R AE1 K AH0 L +GRACKLES G R AE1 K AH0 L Z +GRACO G R AE1 K OW0 +GRACY G R EY1 S IY0 +GRACZYK G R AA1 CH IH0 K +GRAD G R AE1 D +GRADATE G R EY1 D EY0 T +GRADATION G R EY0 D EY1 SH AH0 N +GRADATIONS G R EY0 D EY1 SH AH0 N Z +GRADCHEV G R AE1 D CH EH0 F +GRADCHEV(2) G R AE1 D CH AO0 V +GRADCO G R AE1 D K OW0 +GRADDY G R AE1 D IY0 +GRADE G R EY1 D +GRADED G R EY1 D AH0 D +GRADED(2) G R EY1 D IH0 D +GRADEL G R AE1 D AH0 L +GRADEN G R EY1 D AH0 N +GRADER G R EY1 D ER0 +GRADERS G R EY1 D ER0 Z +GRADES G R EY1 D Z +GRADIENT G R EY1 D IY0 AH0 N T +GRADIENTS G R EY1 D IY0 AH0 N T S +GRADING G R EY1 D IH0 NG +GRADISON G R AE1 D IH0 S AH0 N +GRADNEY G R AE1 D N IY0 +GRADO G R AA1 D OW0 +GRADOV G R EY1 D AO0 F +GRADOVS G R EY1 D AO0 F S +GRADS G R AE1 D Z +GRADSTEIN G R AE1 D S T IY0 N +GRADSTEIN(2) G R AE1 D S T AY0 N +GRADSTEIN'S G R AE1 D S T IY0 N Z +GRADSTEIN'S(2) G R AE1 D S T AY0 N Z +GRADUAL G R AE1 JH UW0 AH0 L +GRADUALISM G R AE1 JH AH0 W AH0 L IH2 Z AH0 M +GRADUALIST G R AE1 JH AH0 W AH0 L IH0 S T +GRADUALLY G R AE1 JH UW0 AH0 L IY0 +GRADUALLY(2) G R AE1 JH UW0 L IY0 +GRADUATE G R AE1 JH AH0 W AH0 T +GRADUATE(2) G R AE1 JH AH0 W EY2 T +GRADUATE(3) G R AE1 JH UW0 W AH0 T +GRADUATE(4) G R AE1 JH UW0 EY2 T +GRADUATED G R AE1 JH UW0 EY2 T IH0 D +GRADUATED(2) G R AE1 JH AH0 W EY2 T IH0 D +GRADUATES G R AE1 JH AH0 W AH0 T S +GRADUATES(2) G R AE1 JH AH0 W EY2 T S +GRADUATES(3) G R AE1 JH UW0 W AH0 T S +GRADUATES(4) G R AE1 JH UW0 EY2 T S +GRADUATING G R AE1 JH AH0 W EY2 T IH0 NG +GRADUATING(2) G R AE1 JH UW0 EY2 T IH0 NG +GRADUATION G R AE2 JH UW0 EY1 SH AH0 N +GRADUATION(2) G R AE2 JH AH0 W EY1 SH AH0 N +GRADUATIONS G R AE2 JH UW0 EY1 SH AH0 N Z +GRADUATIONS(2) G R AE2 JH AH0 W EY1 SH AH0 N Z +GRADUS G R EY1 D AH0 S +GRADY G R EY1 D IY0 +GRAEBER G R EH1 B ER0 +GRAEBNER G R EH1 B N ER0 +GRAEF G R IY1 F +GRAEF(2) G R AE1 F +GRAEFE G R IY1 F +GRAEFE(2) G R AE1 F +GRAEFF G R IY1 F +GRAEFF(2) G R AE1 F +GRAEME G R EY1 M +GRAEME(2) G R AE1 M +GRAESER G R EY1 Z ER0 +GRAESSLE G R EH1 S AH0 L +GRAETZ G R IY1 T S +GRAF G R AE1 F +GRAFE G R EY1 F +GRAFF G R AE1 F +GRAFFAM G R AE1 F AH0 M +GRAFFEO G R AA1 F IY0 OW0 +GRAFFITI G R AH0 F IY1 T IY0 +GRAFFIUS G R AE1 F IY0 IH0 S +GRAFT G R AE1 F T +GRAFTED G R AE1 F T IH0 D +GRAFTING G R AE1 F T IH0 NG +GRAFTON G R AE1 F T AH0 N +GRAFTS G R AE1 F T S +GRAGE G R EY1 JH +GRAGERT G R EY1 G ER0 T +GRAGG G R AE1 G +GRAHAM G R EY1 AH0 M +GRAHAM(2) G R AE1 M +GRAHAM'S G R EY1 AH0 M Z +GRAHAM'S(2) G R AE1 M Z +GRAHAMS G R AE1 M Z +GRAHAMS(2) G R EY1 AH0 M Z +GRAHEK G R AE1 HH IH0 K +GRAHL G R AA1 L +GRAHN G R AE1 N +GRAICHEN G R AY1 K AH0 N +GRAIL G R EY1 L +GRAIN G R EY1 N +GRAINED G R EY1 N D +GRAINERY G R EY1 N ER0 IY0 +GRAINGER G R EY1 NG JH ER0 +GRAINS G R EY1 N Z +GRAINY G R EY1 N IY0 +GRAJEDA G R AY0 IY1 D AH0 +GRALEY G R AE1 L IY0 +GRALL G R AO1 L +GRAM G R AE1 M +GRAMA G R AE1 M AH0 +GRAMAPHONE G R AE1 M AH0 F OW2 N +GRAMBLING G R AE1 M B L IH0 NG +GRAMBLING(2) G R AE1 M B AH0 L IH0 NG +GRAMER G R EY1 M ER0 +GRAMERCY G R AH0 M ER1 S IY0 +GRAMERSEY G R AH0 M ER1 S IY0 +GRAMES G R EY1 M Z +GRAMLEY G R AE1 M L IY0 +GRAMLICH G R AE1 M L IH0 K +GRAMLING G R AE1 M L IH0 NG +GRAMM G R AE1 M +GRAMM'S G R AE1 M Z +GRAMMAR G R AE1 M ER0 +GRAMMATICAL G R AH0 M AE1 T AH0 K AH0 L +GRAMMATICAL(2) G R AH0 M AE1 T IH0 K AH0 L +GRAMMATICO G R AA0 M AA0 T IY1 K OW0 +GRAMMER G R AE1 M ER0 +GRAMMIES G R AE1 M IY2 Z +GRAMMOPHON G R AE1 M AH0 F AA0 N +GRAMMS G R AE1 M Z +GRAMMY G R AE1 M IY0 +GRAMMY'S G R AE1 M IY0 Z +GRAMMYS G R AE1 M IY0 Z +GRAMS G R AE1 M Z +GRAMZA G R AE1 M Z AH0 +GRAN G R AE1 N +GRANA G R AE1 N AH0 +GRANADA G R AH0 N AA1 D AH0 +GRANADA'S G R AH0 N AA1 D AH0 Z +GRANADE G R AH0 N EY1 D +GRANADO G R AA0 N AA1 D OW0 +GRANADOS G R AA0 N AA1 D OW0 Z +GRANAHAN G R AE1 N AH0 HH AE0 N +GRANAT G R AE1 N AH0 T +GRANATA G R AA0 N AA1 T AH0 +GRANATO G R AA0 N AA1 T OW0 +GRANBERG G R AE1 N B ER0 G +GRANBERRY G R AE1 N B EH2 R IY0 +GRANCARE G R AE1 N K EH2 R +GRAND G R AE1 N D +GRAND'S G R AE1 N D Z +GRAND-DAUGHTER G R AE1 N D AO2 T ER0 +GRANDA G R AE1 N D AH0 +GRANDAD G R AE1 N D AE2 D +GRANDAD'S G R AE1 N D AE2 D Z +GRANDBABIES G R AE1 N D B EY2 B IY0 Z +GRANDBABIES(2) G R AE1 N B EY2 B IY0 Z +GRANDBABY G R AE1 N D B EY2 B IY0 +GRANDBABY(2) G R AE1 N B EY2 B IY0 +GRANDBERRY G R AE1 N D B EH2 R IY0 +GRANDCHAMP G R AE1 N D CH AE2 M P +GRANDCHILD G R AE1 N D CH AY2 L D +GRANDCHILD(2) G R AE1 N CH AY2 L D +GRANDCHILDREN G R AE1 N CH IH2 L D R AH0 N +GRANDCHILDREN(2) G R AE1 N D CH IH2 L D R AH0 N +GRANDCHILDREN'S G R AE1 N CH IH2 L D R AH0 N Z +GRANDCHILDREN'S(2) G R AE1 N D CH IH2 L D R AH0 N Z +GRANDDAD G R AE1 N D AE2 D +GRANDDADDY G R AE1 N D AE2 D IY0 +GRANDDAUGHTER G R AE1 N D AO2 T ER0 +GRANDDAUGHTER'S G R AE1 N D AO2 T ER0 Z +GRANDDAUGHTERS G R AE1 N D AO2 T ER0 Z +GRANDE G R AE1 N D +GRANDER G R AE1 N D ER0 +GRANDERSON G R AE1 N D ER0 S AH0 N +GRANDEST G R AE1 N D AH0 S T +GRANDEUR G R AE0 N D UW1 R +GRANDFATHER G R AE1 N D F AA2 DH ER0 +GRANDFATHER(2) G R AE1 N F AA2 DH ER0 +GRANDFATHER'S G R AE1 N D F AA2 DH ER0 Z +GRANDFATHER'S(2) G R AE1 N F AA2 DH ER0 Z +GRANDFATHERED G R AE1 N D F AA2 DH ER0 D +GRANDFATHERED(2) G R AE1 N F AA2 DH ER0 D +GRANDFATHERING G R AE1 N D F AA2 DH ER0 IH0 NG +GRANDFATHERING(2) G R AE1 N F AA2 DH ER0 IH0 NG +GRANDFATHERLY G R AE1 N D F AA2 DH ER0 L IY0 +GRANDFATHERLY(2) G R AE1 N F AA2 DH ER0 L IY0 +GRANDFATHERS G R AE1 N D F AA2 DH ER0 Z +GRANDFATHERS(2) G R AE1 N F AA2 DH ER0 Z +GRANDFIELD G R AE1 N D F IY2 L D +GRANDI G R AE1 N D IY0 +GRANDILLO G R AE0 N D IH1 L OW0 +GRANDILOQUENT G R AE0 N D IH1 L AH0 K W AH0 N T +GRANDIN G R AE1 N D IH2 N +GRANDINETTI G R AE0 N D IY0 N EH1 T IY0 +GRANDIOSE G R AE2 N D IY0 OW1 S +GRANDIOSE(2) G R AE1 N D IY0 OW2 S +GRANDIS G R AE1 N D IH0 S +GRANDISON G R AE1 N D IH0 S AH0 N +GRANDKID G R AE1 N D K IH2 D +GRANDKID(2) G R AE1 N K IH2 D +GRANDKIDS G R AE1 N D K IH2 D Z +GRANDKIDS(2) G R AE1 N K IH2 D Z +GRANDLY G R AE1 N D L IY0 +GRANDMA G R AE1 N D M AA0 +GRANDMA'S G R AE1 N D M AA2 Z +GRANDMAISON G R AE1 N D M AY2 Z AA1 N +GRANDMAISON(2) G R AE1 N D M EY1 S AH0 N +GRANDMAS G R AE1 N D M AA2 Z +GRANDMASTER G R AE1 N D M AE1 S T ER0 +GRANDMASTER(2) G R AE1 N M AE1 S T ER0 +GRANDMET G R AE1 N D M EH2 T +GRANDMOM G R AE1 N D M AA2 M +GRANDMOTHER G R AE1 N D M AH2 DH ER0 +GRANDMOTHER'S G R AE1 N D M AH2 DH ER0 Z +GRANDMOTHERLY G R AE1 N D M AH2 DH ER0 L IY0 +GRANDMOTHERS G R AE1 N D M AH2 DH ER0 Z +GRANDNEPHEW G R AE1 N D N EH1 F Y UW0 +GRANDNEPHEWS G R AE1 N D N EH1 F Y UW0 Z +GRANDON G R AE1 N D AA0 N +GRANDPA G R AE1 N D P AA2 +GRANDPA'S G R AE1 N P AA2 Z +GRANDPARENT G R AE1 N D P EH2 R AH0 N T +GRANDPARENTS G R AE1 N D P EH2 R AH0 N T S +GRANDPARENTS' G R AE1 N D P EH2 R AH0 N T S +GRANDPAS G R AE1 N D P AA2 Z +GRANDPRE G R AE1 N D P R EY2 +GRANDS G R AE1 N D Z +GRANDSON G R AE1 N D S AH2 N +GRANDSON'S G R AE1 N D S AH2 N Z +GRANDSONS G R AE1 N D S AH2 N Z +GRANDSTAFF G R AE1 N D S T AE2 F +GRANDSTAND G R AE1 N D S T AE2 N D +GRANDSTANDING G R AE1 N D S T AE2 N D IH0 NG +GRANDT G R AE1 N T +GRANDUNCLE G R AE1 N D AH1 NG K AH0 L +GRANDUNCLES G R AE1 N D AH1 NG K AH0 L Z +GRANDVIEW G R AE1 N D V Y UW2 +GRANDY G R AE1 N D IY0 +GRANER G R EY1 N ER0 +GRANESE G R AE1 N IY0 Z +GRANEY G R EY1 N IY0 +GRANFIELD G R AE1 N F IY2 L D +GRANGE G R EY1 N JH +GRANGER G R EY1 N JH ER0 +GRANGERS G R EY1 N JH ER0 Z +GRANGES G R EY1 N JH IH0 Z +GRANHOLM G R AE1 N HH OW2 L M +GRANIER G R EY1 N IY0 ER0 +GRANIERI G R AA0 N IH1 R IY0 +GRANILLO G R AH0 N IH1 L OW0 +GRANINGEVERKEN G R AE2 N IH0 NG G EH1 V ER0 K AH0 N +GRANINGEVERKEN'S G R AE2 N IH0 NG G EH1 V ER0 K AH0 N Z +GRANITE G R AE1 N AH0 T +GRANITE(2) G R AE1 N IH0 T +GRANITIC G R AH0 N IH1 T IH0 K +GRANITO G R AA0 N IY1 T OW0 +GRANLUND G R AE1 N L AH0 N D +GRANNAN G R AE1 N AH0 N +GRANNIES G R AE1 N IY0 Z +GRANNIS G R AE1 N IH0 S +GRANNY G R AE1 N IY0 +GRANO G R AA1 N OW0 +GRANOFF G R AE1 N AO0 F +GRANOLA G R AH0 N OW1 L AH0 +GRANQUIST G R AE1 N K W IH2 S T +GRANSTROM G R AE1 N S T R AH0 M +GRANT G R AE1 N T +GRANT'S G R AE1 N T S +GRANTED G R AE1 N T AH0 D +GRANTED(2) G R AE1 N T IH0 D +GRANTED(3) G R AE1 N AH0 D +GRANTED(4) G R AE1 N IH0 D +GRANTHAM G R AE1 N TH AH0 M +GRANTING G R AE1 N T IH0 NG +GRANTING(2) G R AE1 N IH0 NG +GRANTLAND G R AE1 N T L AH0 N D +GRANTOR G R AE1 N T ER0 +GRANTORS G R AE1 N T ER0 Z +GRANTREE G R AE1 N T R IY2 +GRANTREE'S G R AE1 N T R IY2 Z +GRANTS G R AE1 N T S +GRANTZ G R AE1 N T S +GRANULAR G R AE1 N Y AH0 L ER0 +GRANULATION G R AE2 N Y AH0 L EY1 SH AH0 N +GRANULE G R AE1 N Y AH0 L +GRANULES G R AE1 N Y AH0 L Z +GRANULOCYTE G R AH0 N UW1 L OW0 S AY2 T +GRANUM G R AE1 N AH0 M +GRANVILLE G R AE1 N V IH0 L +GRANVILLE'S G R AE1 N V IH0 L Z +GRANZ G R AE1 N T S +GRANZOW G R AE1 N Z OW0 +GRAPAGE G R EY1 P AH0 JH +GRAPE G R EY1 P +GRAPEFRUIT G R EY1 P F R UW2 T +GRAPEFRUITS G R EY1 P F R UW2 T S +GRAPER G R EY1 P ER0 +GRAPES G R EY1 P S +GRAPESHOT G R EY1 P SH AA2 T +GRAPEVINE G R EY1 P V AY2 N +GRAPEVINES G R EY1 P V AY2 N Z +GRAPH G R AE1 F +GRAPHIC G R AE1 F IH0 K +GRAPHICAL G R AE1 F IH0 K AH0 L +GRAPHICALLY G R AE1 F IH0 K L IY0 +GRAPHICS G R AE1 F IH0 K S +GRAPHICS' G R AE1 F IH0 K S +GRAPHITE G R AE1 F AY2 T +GRAPHOLOGY G R AH0 F AA1 L AH0 JH IY0 +GRAPHS G R AE1 F S +GRAPPLE G R AE1 P AH0 L +GRAPPLED G R AE1 P AH0 L D +GRAPPLES G R AE1 P AH0 L Z +GRAPPLING G R AE1 P L IH0 NG +GRAPPLING(2) G R AE1 P AH0 L IH0 NG +GRAS G R AE1 S +GRAS(2) G R AA1 +GRASER G R EY1 Z ER0 +GRASMICK G R AE1 Z M IH0 K +GRASP G R AE1 S P +GRASPED G R AE1 S P T +GRASPING G R AE1 S P IH0 NG +GRASPS G R AE1 S P S +GRASS G R AE1 S +GRASSE G R AE1 S +GRASSED G R AE1 S T +GRASSEL G R AE1 S AH0 L +GRASSER G R AE1 S ER0 +GRASSERS G R AE1 S ER0 Z +GRASSES G R AE1 S AH0 Z +GRASSES(2) G R AE1 S IH0 Z +GRASSFIELD G R AE1 S F IY2 L D +GRASSFIELD'S G R AE1 S F IY2 L D Z +GRASSGREEN G R AE1 S G R IY2 N +GRASSHOPPER G R AE1 S HH AA2 P ER0 +GRASSHOPPERS G R AE1 S HH AA2 P ER0 Z +GRASSI G R AE1 S IY0 +GRASSIA G R AA1 S IY0 AH0 +GRASSINGS G R AE1 S IH0 NG Z +GRASSL G R AE1 S AH0 L +GRASSLAND G R AE1 S L AE2 N D +GRASSLANDS G R AE1 S L AE2 N D Z +GRASSLEY G R AE1 S L IY0 +GRASSLIKE G R AE1 S L AY2 K +GRASSMAN G R AE1 S M AH0 N +GRASSO G R AE1 S OW0 +GRASSROOT G R AE1 S R UW1 T +GRASSROOTS G R AE1 S R UW1 T S +GRASSY G R AE1 S IY0 +GRASTY G R AE1 S T IY0 +GRATA G R AA1 T AH0 +GRATE G R EY1 T +GRATED G R EY1 T IH0 D +GRATEFUL G R EY1 T F AH0 L +GRATEFULLY G R EY1 T F AH0 L IY0 +GRATER G R EY1 T ER0 +GRATES G R EY1 T S +GRATHWOHL G R AE1 TH W OW2 L +GRATIFICATION G R AE2 T AH0 F AH0 K EY1 SH AH0 N +GRATIFIED G R AE1 T AH0 F AY2 D +GRATIFIES G R AE1 T AH0 F AY2 Z +GRATIFY G R AE1 T AH0 F AY2 +GRATIFYING G R AE1 T AH0 F AY2 IH0 NG +GRATING G R EY1 T IH0 NG +GRATIS G R AE1 T AH0 S +GRATITUDE G R AE1 T AH0 T UW2 D +GRATTAN G R AE1 T AH0 N +GRATTON G R AE1 T AH0 N +GRATUITIES G R AH0 T UW1 IH0 T IY0 Z +GRATUITOUS G R AH0 T UW1 AH0 T AH0 S +GRATUITOUSLY G R AH0 T UW1 AH0 T AH0 S L IY0 +GRATUITY G R AH0 T UW1 IH0 T IY0 +GRATZ G R AE1 T S +GRATZER G R EY1 T Z ER0 +GRAU G R AW1 +GRAUBERGER G R AW1 B ER0 G ER0 +GRAUE G R AW1 +GRAUE(2) G R UW1 +GRAUEL G R AW1 AH0 L +GRAUEL(2) G R UW1 AH0 L +GRAUER G R AW1 ER0 +GRAUER(2) G R UW1 ER0 +GRAUL G R AO1 L +GRAUMAN G R AO1 M AH0 N +GRAUMANN G R AO1 M AH0 N +GRAUNKE G R AO1 NG K +GRAVAMEN G R AA0 V EY1 M AH0 N +GRAVANO G R AH0 V AA1 N OW0 +GRAVANO(2) G R AH0 V AE1 N OW0 +GRAVATT G R AE1 V AH0 T +GRAVE G R EY1 V +GRAVEL G R AE1 V AH0 L +GRAVELINE G R EY1 V L AY2 N +GRAVELL G R AE1 V AH0 L +GRAVELLE G R AH0 V EH1 L +GRAVELLY G R AE1 V AH0 L IY0 +GRAVELY G R EY1 V L IY0 +GRAVEN G R EY1 V AH0 N +GRAVER G R EY1 V ER0 +GRAVES G R EY1 V Z +GRAVES'S G R EY1 V Z IH0 Z +GRAVESIDE G R EY1 V S AY2 D +GRAVESITE G R EY1 V S AY2 T +GRAVEST G R AE1 V AH0 S T +GRAVESTONE G R EY1 V S T OW2 N +GRAVESTONES G R EY1 V S T OW2 N Z +GRAVETT G R AE1 V IH0 T +GRAVETTE G R AH0 V EH1 T +GRAVEYARD G R EY1 V Y AA2 R D +GRAVEYARDS G R EY1 V Y AA2 R D Z +GRAVIES G R EY1 V IY0 Z +GRAVIMETER G R AE1 V AH0 M IY2 T ER0 +GRAVIMETRIC G R AE2 V AH0 M EH1 T R IH0 K +GRAVINA G R AA0 V IY1 N AH0 +GRAVINO G R AA0 V IY1 N OW0 +GRAVITAS G R AE1 V AH0 T AH0 S +GRAVITATE G R AE1 V IH0 T EY2 T +GRAVITATED G R AE1 V AH0 T EY2 T IH0 D +GRAVITATES G R AE1 V IH0 T EY2 T S +GRAVITATING G R AE1 V IH0 T EY2 T IH0 NG +GRAVITATION G R AE2 V IH0 T EY1 SH AH0 N +GRAVITATIONAL G R AE2 V IH0 T EY1 SH AH0 N AH0 L +GRAVITATIONALLY G R AE2 V AH0 T EY1 SH N AH0 L IY0 +GRAVITT G R AE1 V IH0 T +GRAVITT'S G R AE1 V IH0 T S +GRAVITY G R AE1 V AH0 T IY0 +GRAVITY(2) G R AE1 V IH0 T IY0 +GRAVLEY G R AE1 V L IY0 +GRAVLIN G R AE1 V L IH0 N +GRAVOIS G R AH0 V W AA1 +GRAVY G R EY1 V IY0 +GRAW G R AO1 +GRAWE G R AO1 +GRAY G R EY1 +GRAY'S G R EY1 Z +GRAYBEAL G R EY1 B AH0 L +GRAYBEARD G R EY1 B IY0 R D +GRAYBEARDS G R EY1 B IY0 R D Z +GRAYBILL G R EY1 B IH2 L +GRAYDON G R EY1 D AH0 N +GRAYE G R EY1 +GRAYER G R EY1 ER0 +GRAYEST G R EY1 IH0 S T +GRAYING G R EY1 IH0 NG +GRAYISH G R EY1 IH0 SH +GRAYLING G R EY1 L IH0 NG +GRAYS G R EY1 Z +GRAYSON G R EY1 S AH0 N +GRAZE G R EY1 Z +GRAZED G R EY1 Z D +GRAZER G R EY1 Z ER0 +GRAZIANI G R AA0 Z IY0 AA1 N IY0 +GRAZIANO G R AA0 T S IY0 AA1 N OW0 +GRAZIER G R EY1 Z IY0 ER0 +GRAZING G R EY1 Z IH0 NG +GRBAVICA G ER0 B AA1 V IH0 K AH0 +GRBAVICA(2) G ER2 B AH0 V AY1 K AH0 +GREANEY G R IY1 N IY0 +GREAR G R IH1 R +GREASE G R IY1 S +GREASED G R IY1 S T +GREASER G R IY1 S ER0 +GREASEWOOD G R IY1 S W UH2 D +GREASING G R IY1 S IH0 NG +GREASON G R IY1 S AH0 N +GREASY G R IY1 S IY0 +GREAT G R EY1 T +GREAT'S G R EY1 T S +GREAT-CIRCLE G R EY1 T S ER1 K AH0 L +GREAT-GRANDFATHER G R EY2 T G R AE1 N D F AA2 DH ER0 +GREAT-GRANDMOTHER G R EY2 T G R AE1 N D M AH2 TH ER0 +GREATER G R EY1 T ER0 +GREATEST G R EY1 T AH0 S T +GREATHOUSE G R EY1 T HH AW2 S +GREATLY G R EY1 T L IY0 +GREATNESS G R EY1 T N AH0 S +GREATS G R EY1 T S +GREAVE G R IY1 V +GREAVES G R IY1 V Z +GREB G R EH1 B +GREBE G R IY1 B +GREBER G R IY1 B ER0 +GREBNER G R EH1 B N ER0 +GRECCO G R EH1 K OW0 +GRECH G R EH1 K +GRECIAN G R IY1 SH AH0 N +GRECKO G R EH1 K OW0 +GRECO G R EH1 K OW0 +GRECO-ROMAN G R EH2 K OW0 R OW1 M AH0 N +GREDE G R IY1 D +GREDEL G R EH1 D AH0 L +GREDITOR G R EH1 D IH0 T ER0 +GREEAR G R IY1 ER0 +GREECE G R IY1 S +GREECE'S G R IY1 S IH0 Z +GREED G R IY1 D +GREEDIER G R IY2 D IY0 ER0 +GREEDIEST G R IY2 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M +GRISHAM'S G R IH1 SH AH0 M Z +GRISHILDA G R IH0 SH IH1 L D AH0 +GRISHMAN G R IH1 SH M AH0 N +GRISLY G R IH1 Z L IY0 +GRISMER G ER1 IH0 Z AH0 M ER0 +GRISMER(2) G R IH1 S M ER0 +GRISMORE G R IY1 S M AO0 R +GRISSETT G R IH1 S IH0 T +GRISSINGER G R IH1 S IH0 NG ER0 +GRISSO G R IH1 S OW0 +GRISSOM G R IH1 S AH0 M +GRISSON G R IH1 S AH0 N +GRIST G R IH1 S T +GRISTLE G R IH1 S AH0 L +GRISWELL G R IH1 S W EH0 L +GRISWOLD G R IH1 S W OW2 L D +GRIT G R IH1 T +GRITES G R AY1 T S +GRITS G R IH1 T S +GRITTER G R IH1 T ER0 +GRITTING G R IH1 T IH0 NG +GRITTON G R IH1 T AH0 N +GRITTY G R IH1 T IY0 +GRITZ G R IH1 T S +GRITZMACHER G R IH1 T S M AA2 K ER0 +GRIVAS G R IY1 V AA0 Z +GRIZ G R IH1 Z +GRIZELDA G R IY0 Z EH1 L D AH0 +GRIZZARD G R IH1 Z ER0 D +GRIZZELL G R IH1 Z AH0 L +GRIZZLE G R IH1 Z AH0 L +GRIZZLED G R IH1 Z AH0 L D +GRIZZLIES G R IH1 Z L IY0 Z +GRIZZLY G R IH1 Z L IY0 +GRO G R OW1 +GROAN G R OW1 N +GROANED G R OW1 N D +GROANING G R OW1 N IH0 NG +GROANS G R OW1 N Z +GROAT G R OW1 T +GROB G R AA1 B +GROBE G R OW1 B +GROBEN G R AA1 B AH0 N +GROBER G R OW1 B ER0 +GROBIAN G R OW1 B IY0 AH0 N +GROBLER G R AA1 B L ER0 +GROCE G R OW1 S +GROCER G R OW1 S ER0 +GROCER'S G R OW1 S ER0 Z +GROCERIES G R OW1 S ER0 IY0 Z +GROCERIES(2) G R OW1 S R IY0 Z +GROCERS G R OW1 S ER0 Z +GROCERY G R OW1 S ER0 IY0 +GROCERY(2) G R OW1 S R IY0 +GROCH G R AA1 K +GROCHOWSKI G R AH0 CH AO1 F S K IY0 +GRODE G R OW1 D +GRODEN G R OW1 D AH0 N +GRODIN G R OW1 D IH0 N +GRODSKY G R AA1 D S K IY0 +GROEBNER G R OW1 B N ER0 +GROEGER G R OW1 G ER0 +GROEN G R OW1 N +GROENE G R AA1 IY0 N +GROENEVELD G R OW1 N IH0 V IH0 L D +GROENEWOLD G R OW1 N UW0 OW0 L D +GROENING G R AA1 AH0 N IH0 NG +GROEP G R OW1 P +GROER G R OW1 ER0 +GROESBECK G R OW1 S B EH0 K +GROFF G R AO1 F +GROFT G R AA1 F T +GROG G R AA1 G +GROGAN G R OW1 G AH0 N +GROGG G R AA1 G +GROGGY G R AA1 G IY0 +GROH G R OW1 +GROHMAN G R OW1 M AH0 N +GROHS G R OW1 S +GROIN G R OY1 N +GROINED G R OY1 N D +GROINS G R OY1 N Z +GROLEAU G R AH0 L OW1 +GROLIER G R OW1 L Y ER0 +GROLL G R OW1 L +GROM G R AA1 M +GROMA G R AA1 M AH0 +GROMAN G R OW1 M AH0 N +GROMEK G R OW1 M IH0 K +GROMER G R OW1 M ER0 +GROMES G R OW1 M Z +GROMYKO G R OW0 M IY1 K OW0 +GRONAU G R OW1 N AW0 +GRONBERG G R AA1 N B ER0 G +GRONDAHL G R AA1 N D AA2 L +GRONDIN G R AA1 N D IH0 N +GRONE G R OW1 N +GRONEMEYER G R AA1 N IH0 M AY0 ER0 +GRONER G R OW1 N ER0 +GRONEWOLD G R AA1 N UW0 OW0 L D +GRONINGER G R OW1 N IH0 NG ER0 +GRONLUND G R AA1 N L AH0 N D +GRONOWSKI G R AH0 N AO1 F S K IY0 +GRONSETH G R AA1 N S IH0 TH +GRONSKI G R AA1 N S K IY0 +GROOM G R UW1 M +GROOME G R UW1 M +GROOMED G R UW1 M D +GROOMER G R UW1 M ER0 +GROOMERS G R UW1 M ER0 Z +GROOMES G R UW1 M Z +GROOMING G R UW1 M IH0 NG +GROOMS G R UW1 M Z +GROOPMAN G R UW1 P M AH0 N +GROOS G R UW1 Z +GROOT G R UW1 T +GROOTERS G R UW1 T ER0 Z +GROOVE G R UW1 V +GROOVER G R UW1 V ER0 +GROOVES G R UW1 V Z +GROOVIEST G R UW1 V IY0 AH0 S T +GROOVY G R UW1 V IY0 +GROPE G R OW1 P +GROPED G R OW1 P T +GROPES G R OW1 P S +GROPING G R OW1 P IH0 NG +GROPP G R AA1 P +GROPPER G R AA1 P ER0 +GROPPY G R AA1 P IY0 +GROPPY'S G R AA1 P IY0 Z +GROS G R OW1 S +GROSBEAK G R OW1 S B IY2 K +GROSBEAKS G R OW1 S B IY2 K S +GROSCH G R AO1 SH +GROSE G R OW1 Z +GROSECLOSE G R AA0 S IH0 K L OW1 Z +GROSH G R AA1 SH +GROSHEK G R AA1 SH IH0 K +GROSHONG G R AA1 SH AO0 NG +GROSJEAN G R AH0 S ZH IY1 N +GROSKOPF G R AA1 S K AO0 P F +GROSKOPF(2) G R OW1 S K AO0 F +GROSS G R OW1 S +GROSS'S G R OW1 S IH0 Z +GROSSBARD G R OW1 S B AA2 R D +GROSSBERG G R OW1 S B ER0 G +GROSSE G R AA1 S +GROSSED G R OW1 S T +GROSSENBACHER G R AA1 S IH0 N B AA0 K ER0 +GROSSER G R OW1 S ER0 +GROSSES G R OW1 S IH0 Z +GROSSFELD G R OW1 S F EH2 L D +GROSSHANS G R AA1 SH AH0 N Z +GROSSI G R OW1 S IY0 +GROSSING G R OW1 S IH0 NG +GROSSKOPF G R OW1 S K AO0 P F +GROSSKOPF(2) G R OW1 S K AO0 F +GROSSLY G R OW1 S L IY0 +GROSSMAN G R OW1 S M AH0 N +GROSSMAN'S G R OW1 S M AH0 N Z +GROSSMANN G R AO1 S M AH0 N +GROSSNICKLE G R AA1 S N IH0 K AH0 L +GROSSO G R OW1 S OW0 +GROSVENOR G 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G R OW1 N AH2 P +GROWN-UPS G R OW1 N AH2 P S +GROWNUP G R OW1 N AH2 P +GROWNUPS G R OW1 N AH2 P S +GROWS G R OW1 Z +GROWTH G R OW1 TH +GROWTH'S G R OW1 TH S +GROWTHS G R OW1 TH S +GROZNY G R OW1 Z N IY0 +GROZNY'S G R OW1 Z N IY0 Z +GRUA G R UW1 AH0 +GRUB G R AH1 B +GRUB-THIEF G R AH1 B TH IY2 F +GRUB-THIEVES G R AH1 B TH IY2 V Z +GRUBA G R UW1 B AH0 +GRUBAUGH G R AH1 B AO0 +GRUBB G R AH1 B +GRUBBS G R AH1 B Z +GRUBBY G R AH1 B IY0 +GRUBE G R UW1 B +GRUBEN G R AH1 B AH0 N +GRUBER G R UW1 B ER0 +GRUBEROVA G R UW2 B EH0 R OW1 V AH0 +GRUBMAN G R AH1 B M AH0 N +GRUBS G R AH1 B Z +GRUBSTEIN G R AH1 B S T IY2 N +GRUBSTEIN(2) G R AH1 B S T AY2 N +GRUCCI G R UW1 CH IY0 +GRUDENSTEIN G R UW1 D IH0 N S T IY2 N +GRUDENSTEIN(2) G R UW1 D IH0 N S T AY2 N +GRUDGE G R AH1 JH +GRUDGES G R AH1 JH IH0 Z +GRUDGING G R AH1 JH IH0 NG +GRUDGINGLY G R AH1 JH IH0 NG L IY0 +GRUDGINGLY(2) G R AH1 JH IH0 NG G L IY0 +GRUDZIEN G R AH1 D Z IY0 N +GRUDZINSKI G R AH0 JH IH1 N S K IY0 +GRUE G R UW1 +GRUEL G R UW1 IH0 L 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EH1 S T IH0 M IH0 T S +GUESSTIMATES(2) G EH1 S T IH0 M EY0 T S +GUESSWORK G EH1 S W ER2 K +GUEST G EH1 S T +GUEST'S G EH1 S T S +GUESTED G EH1 S T IH0 D +GUESTHOUSE G EH1 S T HH AW2 S +GUESTHOUSES G EH1 S T HH AW2 S IH0 Z +GUESTS G EH1 S T S +GUESTS' G EH1 S T S +GUETTLER G EH1 T AH0 L ER0 +GUETTLER(2) G EH1 T L ER0 +GUEVARA G EY0 V AA1 R AH0 +GUEVARA(2) G AH0 V AA1 R AH0 +GUEVARA'S G EY0 V AA1 R AH0 Z +GUEVARA'S(2) G AH0 V AA1 R AH0 Z +GUEZ G EH1 Z +GUEZ'S G EH1 Z IH0 Z +GUFF G AH1 F +GUFFAW G AH0 F AO1 +GUFFAWS G AH0 F AO1 Z +GUFFEY G AH1 F IY0 +GUFFIN G AH1 F IH0 N +GUFFY G AH1 F IY0 +GUGEL G UW1 G AH0 L +GUGGENHEIM G UW1 G AH0 N HH AY2 M +GUGGENHEIM'S G UW1 G AH0 N HH AY2 M Z +GUGGISBERG G AH1 G IH0 S B ER0 G +GUGINO G UW0 JH IY1 N OW0 +GUGLIELMETTI G UW0 G L IY0 EH0 L M EH1 T IY0 +GUGLIELMI G UW0 G L IY0 EH1 L M IY0 +GUGLIELMO G UW0 G L IY0 EH1 L M OW0 +GUGLIOTTA G UW0 G L IY0 OW1 T AH0 +GUGLIOTTI G UW0 G L IY0 OW1 T IY0 +GUGLIUZZA G UW0 G L IY0 UW1 T S AH0 +GUHL G AH1 L +GUIANA G 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G AY1 T AH0 N +GUZA G Y UW1 Z AH0 +GUZEK G UW1 Z EH0 K +GUZIK G Y UW1 Z IH0 K +GUZMAN G AH1 Z M AH0 N +GUZMAN(2) G UW1 Z M AA2 N +GUZOWSKI G AH0 Z AO1 F S K IY0 +GUZY G Y UW1 Z IY0 +GUZZARDO G UW0 T S AA1 R D OW0 +GUZZETTA G UW0 T S EH1 T AH0 +GUZZETTI G Y UW0 Z EH1 T IY0 +GUZZI G UW1 T S IY0 +GUZZLE G AH1 Z AH0 L +GUZZLER G AH1 Z L ER0 +GUZZLER'S G AH1 Z AH0 L ER0 Z +GUZZLER'S(2) G AH1 Z L ER0 Z +GUZZLERS G AH1 Z AH0 L ER0 Z +GUZZLERS(2) G AH1 Z L ER0 Z +GUZZLES G AH1 Z AH0 L Z +GUZZLING G AH1 Z AH0 L IH0 NG +GUZZLING(2) G AH1 Z L IH0 NG +GUZZO G UW1 Z OW0 +GVARYAHU G AH0 V EH0 R Y AA1 HH UW0 +GWALTNEY G W AO1 L T N IY0 +GWARTNEY G W AO1 R T N IY0 +GWAY G W EY1 +GWAY(2) JH IY1 W EY2 +GWEN G W EH1 N +GWENDA G W EH1 N D AH0 +GWENDOLYN G W EH1 N D AH0 L IH0 N +GWENNIE G W EH1 N IY0 +GWENORE G W EH1 N ER0 +GWIN G W IH1 N +GWINN G W IH1 N +GWINN'S G W IH1 N Z +GWINNER G W IH1 N ER0 +GWINNETT G W IH0 N EH1 T +GWIZDALA G W IH0 Z D AA1 L AH0 +GWOZDZ G W AA1 Z D Z +GWYN G W IH1 N +GWYNETH G W IH1 N AH0 TH +GWYNETH'S G W IH1 N AH0 TH S +GWYNETHS G W IH1 N AH0 TH S +GWYNN G W IH1 N +GWYNNE G W IH1 N +GYGER G AY1 G ER0 +GYI G IY1 +GYI(2) JH IY1 W AY1 AY1 +GYLES JH AY1 L Z +GYLLENHAMMAR JH IH1 L EH0 N HH AE2 M ER0 +GYM JH IH1 M +GYM'S JH IH1 M Z +GYMBOREE JH IH2 M B AO0 R IY1 +GYMNASIA JH IH0 M N EY1 Z IY0 AH0 +GYMNASIUM JH IH0 M N EY1 Z IY0 AH0 M +GYMNASIUMS JH IH0 M N EY1 Z IY0 AH0 M Z +GYMNAST JH IH1 M N AH0 S T +GYMNASTIC JH IH0 M N AE1 S T IH0 K +GYMNASTICS JH IH0 M N AE1 S T IH0 K S +GYMNASTS JH IH1 M N AE0 S T S +GYMS JH IH1 M Z +GYN G IH1 N +GYN(2) G AY1 N +GYNECOLOGIC G AY2 N AH0 K AH0 L AA1 JH IH0 K +GYNECOLOGICAL G AY2 N AH0 K AH0 L AA1 JH IH0 K AH0 L +GYNECOLOGIST G AY2 N AH0 K AA1 L AH0 JH AH0 S T +GYNECOLOGISTS G AY2 N AH0 K AA1 L AH0 JH AH0 S T S +GYNECOLOGY G AY2 N AH0 K AA1 L AH0 JH IY0 +GYNEX JH IH1 N AH0 K S +GYOHTEN G Y OW1 T AH0 N +GYOSAI G Y OW1 S EY2 +GYP JH IH1 P +GYPPED JH IH1 P T +GYPSIES JH IH1 P S IY0 Z +GYPSUM JH IH1 P S AH0 M +GYPSUM'S JH IH1 P S AH0 M Z +GYPSY JH IH1 P S IY0 +GYR JH AY1 R +GYRATE JH AY1 R EY2 T +GYRATED JH AY1 R EY2 T IH0 D +GYRATES JH AY1 R EY2 T S +GYRATING JH AY1 R EY2 T IH0 NG +GYRATION JH AY0 R EY1 SH AH0 N +GYRATIONS JH AY0 R EY1 SH AH0 N Z +GYRO JH AY1 R OW2 +GYROCOMPASS JH AY1 R OW0 K AH2 M P AH0 S +GYRODYNE JH IH1 R AH0 D AY0 N +GYRODYNES JH IH1 R AH0 D AY0 N Z +GYROPILOT JH AY1 R OW0 P AY2 L AH0 T +GYROS JH AY1 R OW2 Z +GYROSCOPE JH AY1 R AH0 S K OW2 P +GYROSCOPES JH AY1 R AH0 S K OW2 P S +GYROSCOPIC JH AY2 R AH0 S K AA1 P IH0 K +GYTHA JH AY1 DH AH0 +GYUHAMA G Y UW2 HH AA1 M AH0 +H EY1 CH +H'S EY1 CH IH0 Z +H. EY1 CH +H.'S EY1 CH IH0 Z +HA HH AA1 +HA'ARETZ HH AA1 R EH0 T S +HA'ARETZ(2) HH AH0 AA1 R EH0 T S +HA'ETZNI HH AH0 EH1 T S N IY0 +HA-HA HH AA2 HH AA1 +HA-HA-HA HH AA2 HH AA2 HH AA1 +HAAB HH AA1 B +HAACK HH AA1 K +HAACKE HH AA1 K +HAAF HH AA1 F +HAAG HH AA1 G +HAAGEN HH AA1 G AH0 N +HAAGENSON HH AA1 G IH0 N S AH0 N +HAAK HH AA1 K +HAAKE HH AA1 K +HAAKENSON HH AA1 K IH0 N S AH0 N +HAALAND HH AA1 L AH0 N D +HAAN HH AA1 N +HAAPALA HH AA2 P AA1 L AH0 +HAAR HH AA1 R +HAAS HH AA1 S +HAASE HH AA1 S +HAASS HH AA1 S +HAAVELMO HH AA2 V EH1 L M OW0 +HABBEN HH AE1 B AH0 N +HABEAS HH AE1 B IY0 AH0 S +HABECK HH AA1 B EH0 K +HABECKER HH AE1 B EH0 K ER0 +HABEEB HH AE1 B IY0 B +HABEGGER HH AE1 B IH0 G ER0 +HABEL HH AE1 B AH0 L +HABENICHT HH AE1 B IH0 N IH0 K T +HABER HH EY1 B ER0 +HABERDASHERY HH AE1 B ER0 D AE2 SH ER0 IY0 +HABERER HH AE1 B ER0 ER0 +HABERKORN HH AE1 B ER0 K ER0 N +HABERL HH AE1 B ER0 L +HABERLAND HH AE1 B ER0 L AH0 N D +HABERLE HH AE1 B ER0 AH0 L +HABERMAN HH EY1 B ER0 M AH0 N +HABERMANN HH EY1 B ER0 M AH0 N +HABERMAS HH AA1 B ER0 M AA2 S +HABERMEHL HH AE1 B ER0 M AH0 L +HABERSON HH EY1 B ER0 S IH0 N +HABERSON(2) HH AE1 B ER0 S IH0 N +HABERSTROH HH AA0 B EH1 R S T R OW0 +HABIB HH AH0 B IY1 B +HABIBI HH AH0 B IY1 B IY0 +HABIBIE HH AH0 B IY1 B IY0 +HABICH HH AE1 B IH0 K +HABICHT HH AE1 B IH0 K T +HABIG HH AE1 B IH0 G +HABIGER HH AE1 B IH0 G ER0 +HABIT HH AE1 B AH0 T +HABITABLE HH AE1 B AH0 T AH0 B AH0 L +HABITAT HH AE1 B AH0 T AE2 T +HABITAT'S HH AE1 B AH0 T AE2 T S +HABITATION HH AE2 B AH0 T EY1 SH AH0 N +HABITATS HH AE1 B AH0 T AE2 T S +HABITS HH AE1 B AH0 T S +HABITUAL HH AH0 B IH1 CH UW0 AH0 L +HABITUALLY HH AH0 B IH1 CH UW0 AH0 L IY0 +HABITUALLY(2) HH AH0 B IH1 CH UW0 L IY0 +HABITUES HH AE1 B IH0 CH UW0 Z +HABLE HH EY1 B AH0 L +HABS HH AE1 B Z +HABSBURG HH AE1 P S B ER0 G +HABY HH EY1 B IY0 +HABYARIMANA HH AE2 B IY0 ER0 IY0 M AA1 N AA2 +HABYARIMANA(2) HH AE2 B IY0 AA0 R IY0 M AA1 N AH0 +HACH HH AE1 CH +HACHETTE HH AH0 SH EH1 T +HACHEY HH AE1 CH IY0 +HACHTEL HH AE1 K T AH0 L +HACIENDA HH AE2 S IY0 EH1 N D AH0 +HACK HH AE1 K +HACKATHON HH AE1 K AH0 TH AO2 N +HACKATHORN HH AE1 K AH0 TH ER2 N +HACKBART HH AE1 K B AA2 R T +HACKBARTH HH AE1 K B AA2 R TH +HACKBERRY HH AE1 K B EH2 R IY0 +HACKE HH AE1 K +HACKED HH AE1 K T +HACKEL HH AE1 K AH0 L +HACKENBERG HH AE1 K AH0 N B ER0 G +HACKENSACK HH AE1 K AH0 N S AE2 K +HACKER HH AE1 K ER0 +HACKER'S HH AE1 K ER0 Z +HACKERS HH AE1 K ER0 Z +HACKERT HH AE1 K ER0 T +HACKETT HH AE1 K IH0 T +HACKFORD HH AE1 K F ER0 D +HACKING HH AE1 K IH0 NG +HACKL HH AE1 K AH0 L +HACKLE HH AE1 K AH0 L +HACKLEMAN HH AE1 K AH0 L M AH0 N +HACKLER HH AE1 K AH0 L ER0 +HACKLER(2) HH AE1 K L ER0 +HACKLES HH AE1 K AH0 L Z +HACKLEY HH AE1 K L IY0 +HACKMAN HH AE1 K M AE2 N +HACKMAN(2) HH AE1 K M AH0 N +HACKMANN HH AE1 K M AH0 N +HACKMATACK HH AE1 K M AH0 T AE2 K +HACKNEY HH AE1 K N IY0 +HACKNEYED HH AE1 K N IY0 D +HACKS HH AE1 K S +HACKSAW HH AE1 K S AO2 +HACKSTAFF HH AE1 K S T AE2 F +HACKWORTH HH AE1 K W ER2 TH +HAD HH AE1 D +HADA HH AA1 D AH0 +HADAD HH AE1 D AH0 D +HADAR HH AE1 D ER2 +HADAWAY HH AA1 D AH0 W EY0 +HADD HH AE1 D +HADDAD HH AE1 D AH0 D +HADDAN HH AE1 D AH0 N +HADDAWAY HH AE1 D AH0 W EY0 +HADDEN HH AE1 D AH0 N +HADDOCK HH AE1 D AH0 K +HADDON HH AE1 D AH0 N +HADDONFIELD HH AE1 D AH0 N F IY0 L D +HADDOW HH AE1 D OW0 +HADE HH EY1 D +HADEN HH EY1 D AH0 N +HADER HH EY1 D ER0 +HADES HH EY1 D IY0 Z +HADES(2) HH EY1 D Z +HADFIELD HH AE1 D F IY2 L D +HADID HH AA0 D IY1 D +HADLEIGH HH AE1 D L AH0 +HADLER HH EY1 D AH0 L ER0 +HADLER(2) HH EY1 D L ER0 +HADLEY HH AE1 D L IY0 +HADLINE HH AE1 D L AY0 N +HADLOCK HH AE1 D L AH0 K +HADN'T HH AE1 D AH0 N T +HADN'T(2) HH AE1 D AH0 N +HADNOT HH AE1 D N AH0 T +HADOOP HH AE1 D UW1 P +HADOYA HH AH0 D OY1 AH0 +HADRIA HH AE1 D R IY0 AH0 +HADRIAN HH AE1 D R IY0 AH0 N +HADRIAN(2) HH EY1 D R IY0 AH0 N +HADRIAN'S HH EY1 D R IY0 AH0 N Z +HADRON HH AE1 D R AO2 N +HADSALL HH AE1 D S AH0 L +HADSELL HH AE1 D S AH0 L +HADSON HH AE1 D S AH0 N +HADWIN HH AE1 D W IH0 N +HAEBERLE HH EH1 B ER0 AH0 L +HAECKER HH EH1 K ER0 +HAEFELE HH EH1 F AH0 L +HAEFFNER HH EH1 F N ER0 +HAEFNER HH EH1 F N ER0 +HAEGELE HH EH1 G AH0 L +HAEGER HH EH1 G ER0 +HAEN HH IY1 N +HAENEL HH EH1 N AH0 L +HAERING HH AA1 ER0 IH0 NG +HAERTEL HH EH1 R T AH0 L +HAESE HH IY1 S +HAESSLY HH AE1 S L IY0 +HAEUSSLER HH AW1 S L ER0 +HAFELE HH AE1 F AH0 L +HAFEMAN HH EY1 F M AH0 N +HAFEN HH AE1 F AH0 N +HAFER HH EY1 F ER0 +HAFEY HH EY1 F IY0 +HAFEZ HH AA1 F EH0 Z +HAFF HH AE1 F +HAFFEY HH AE1 F IY0 +HAFFEZ HH AA1 F EH0 Z +HAFFNER HH AE1 F N ER0 +HAFFORD HH AE1 F ER0 D +HAFIF HH AA0 F IY1 F +HAFIF'S HH AA0 F IY1 F S +HAFLEY HH AE1 F L IY0 +HAFNER HH AE1 F N ER0 +HAFNIA HH AE1 F N IY0 AH0 +HAFNIUM HH AE1 F N IY0 AH0 M +HAFT HH AE1 F T +HAFT'S HH AE1 F T S +HAFT'S(2) HH AE1 F S +HAFTA HH AE1 F T AH0 +HAFTS HH AE1 F T S +HAFTS(2) HH AE1 F S +HAFTS' HH AE1 F T S +HAFTS'(2) HH AE1 F S +HAG HH AE1 G +HAGA HH AA1 G AH0 +HAGADORN HH AE1 G AH0 D AO0 R N +HAGAMAN HH AE1 G AH0 M AH0 N +HAGAN HH EY1 G AH0 N +HAGANS HH EY1 G AH0 N Z +HAGAR HH EY1 G AA0 R +HAGAR(2) HH EY1 G ER0 +HAGARTY HH AE1 G AA0 R T IY0 +HAGBERG HH AE1 G B ER0 G +HAGE HH EY1 JH +HAGEDORN HH AE1 G IH0 D ER0 N +HAGEE HH AE1 JH IY0 +HAGEL HH AE1 G AH0 L +HAGELIN HH AE1 G IH0 L IH0 N +HAGEMAN HH EY1 JH M AH0 N +HAGEMANN HH EY1 JH M AH0 N +HAGEMEIER HH AE1 G IH0 M AY0 ER0 +HAGEMEISTER HH AE1 G IH0 M AY0 S T ER0 +HAGEMEYER HH AE1 G IH0 M AY0 ER0 +HAGEN HH EY1 G AH0 N +HAGENBUCH HH AE1 G IH0 N B AH0 K +HAGENLOCKER HH EY1 G AH0 N L AA2 K ER0 +HAGENOW HH AE1 JH IH0 N OW0 +HAGENS HH EY1 G AH0 N Z +HAGER HH EY1 G ER0 +HAGERMAN HH EY1 G ER0 M AH0 N +HAGERSTOWN HH EY1 G ER0 Z T AW2 N +HAGERTY HH AE1 JH ER0 T IY0 +HAGEWOOD HH EY1 JH W UH0 D +HAGEY HH AE1 JH IY0 +HAGFISH HH AE1 G F IH0 SH +HAGG HH AE1 G +HAGGADAH HH AH0 G AH1 D AH0 +HAGGAN HH AE1 G AH0 N +HAGGAR HH AE1 G ER0 +HAGGARD HH AE1 G ER0 D +HAGGART HH AE1 G ER0 T +HAGGARTY HH AE1 G AA2 R T IY0 +HAGGE HH AE1 G +HAGGERTY HH AE1 G ER0 T IY0 +HAGGETT HH AE1 G IH0 T +HAGGINS HH AE1 G IH0 N Z +HAGGLE HH AE1 G AH0 L +HAGGLED HH AE1 G AH0 L D +HAGGLING HH AE1 G AH0 L IH0 NG +HAGGLING(2) HH AE1 G L IH0 NG +HAGGLUND HH AE1 G L AH0 N D +HAGGSTROM HH AE1 G S T R AH0 M +HAGIN HH AE1 JH IH0 N +HAGIN(2) HH AE1 G IH2 N +HAGINS HH AE1 G IH0 N Z +HAGINS(2) HH AE1 JH IH2 N Z +HAGIOGRAPHY HH AE2 G IY0 AA1 G R AH0 F IY0 +HAGIWARA HH AA2 G IH0 W AA1 R AH0 +HAGLE HH EY1 G AH0 L +HAGLER HH AE1 G L ER0 +HAGLEY HH AE1 G L IY0 +HAGLUND HH AE1 G L AH0 N D +HAGMAN HH AE1 G M AH0 N +HAGMANN HH AE1 G M AH0 N +HAGNER HH AE1 G N ER0 +HAGOOD HH AE1 G UH0 D +HAGOPIAN HH AH0 G OW1 P IY0 AH0 N +HAGSTROM HH AE1 G S T R AH0 M +HAGUE HH EY1 G +HAGWOOD HH AE1 G W UH2 D +HAGY HH EY1 G IY0 +HAH HH AA1 +HAHL HH AA1 L +HAHM HH AE1 M +HAHN HH AA1 N +HAHNE HH EY1 N +HAHNER HH AA1 N ER0 +HAHS HH AA1 S +HAID HH EY1 D +HAIDA HH AY1 D AH0 +HAIDEE HH EY1 D IY0 +HAIDER HH EY1 D ER0 +HAIDET HH EY1 D IH0 T +HAIFA HH AY1 F AH0 +HAIFONG HH AY1 F AO0 NG +HAIG HH EY1 G +HAIG'S HH EY1 G Z +HAIGH HH EY1 +HAIGHT HH EY1 T +HAIGLER HH EY1 G L ER0 +HAIK HH EY1 K +HAIKU HH AY1 K UW0 +HAIKUS HH AY1 K UW0 Z +HAIL HH EY1 L +HAILAND HH EY1 L AH0 N D +HAILE HH EY1 L +HAILE(2) HH AY1 L IY0 +HAILED HH EY1 L D +HAILES HH EY1 L Z +HAILES(2) HH AY1 L IY0 Z +HAILEY HH EY1 L IY0 +HAILING HH EY1 L IH0 NG +HAILS HH EY1 L Z +HAILSTONE HH EY1 L S T OW2 N +HAILSTONES HH EY1 L S T OW2 N Z +HAILSTORM HH EY1 L S T AO2 R M +HAIM HH AY1 M +HAIM(2) HH EY1 M +HAIMES HH EY1 M Z +HAIMOVITCH HH EY1 M AH0 V IH0 CH +HAIMOVITZ HH EY1 M AH0 V IH0 T S +HAIMOWITZ HH AY1 M AH0 W IH0 T S +HAIN HH EY1 N +HAINAN HH EY1 N AH0 N +HAINER HH EY1 N ER0 +HAINES HH EY1 N Z +HAINEY HH EY1 N IY0 +HAINLEY HH EY1 N L IY0 +HAINLINE HH EY1 N L AY2 N +HAINS HH EY1 N Z +HAINSWORTH HH EY1 N S W ER0 TH +HAIR HH EH1 R +HAIR'S HH EH1 R Z +HAIRCUT HH EH1 R K AH2 T +HAIRCUTS HH EH1 R K AH2 T S +HAIRDO HH EH1 R D UW2 +HAIRDOS HH EH1 R D UW2 Z +HAIRDRESSER HH EH1 R D R EH2 S ER0 +HAIRDRESSERS HH EH1 R D R EH2 S ER0 Z +HAIRDRESSING HH EH1 R D R EH2 S IH0 NG +HAIRE HH EH1 R +HAIRED HH EH1 R D +HAIRFIELD HH EH1 R F IY2 L D +HAIRGROVE HH AY1 R G R AH0 V +HAIRINESS HH EH1 R IY0 N AH0 S +HAIRLESS HH EH1 R L AH0 S +HAIRLINE HH EH1 R L AY2 N +HAIRR HH EH1 R +HAIRS HH EH1 R Z +HAIRSPRAY HH EH1 R S P R EY2 +HAIRSTON HH AY1 R S T AH0 N +HAIRSTYLE HH EH1 R S T AY2 L +HAIRY HH EH1 R IY0 +HAISLEY HH EY1 Z L IY0 +HAISLIP HH AY1 S L IH0 P +HAIST HH AA1 IH0 S T +HAIT HH EY1 T +HAITH HH EY1 TH +HAITHCOCK HH EY1 TH K AA2 K +HAITI HH EY1 T IY0 +HAITI'S HH EY1 T IY0 Z +HAITIAN HH EY1 SH AH0 N +HAITIANS HH EY1 SH AH0 N Z +HAITIEN HH EY1 SH AH0 N +HAITIENS HH EY1 SH AH0 N Z +HAITIS HH EY1 T IY0 Z +HAIZLIP HH EY1 Z L IH0 P +HAJDU HH AA1 Y D UW0 +HAJDUK HH AY1 D AH0 K +HAJEK HH AY1 EH0 K +HAJIME HH AA0 JH IY1 M IY0 +HAJJ HH AE1 JH +HAJJAR HH AA0 Y AA1 R +HAKALA HH AH0 K AA1 L AH0 +HAKAN HH EY1 K AH0 N +HAKAN(2) HH AA1 K AH0 N +HAKANSON HH AE1 K AH0 N S AH0 N +HAKE HH EY1 K +HAKEEM HH AA0 K IY1 M +HAKEEM'S HH AA0 K IY1 M Z +HAKES HH EY1 K S +HAKIM HH AA0 K IY1 M +HAKIM(2) AA0 K IY1 M +HAKIM'S HH AA0 K IY1 M Z +HAKIM'S(2) AA0 K IY1 M Z +HAKKI HH AE1 K IY0 +HAKKO HH AE1 K OW0 +HAKON HH AE1 K AH0 N +HAKUHODO HH AA2 K UW2 HH OW1 D OW0 +HAL HH AE1 L +HAL'S HH AE1 L Z +HALAMA HH AA0 L AA1 M AH0 +HALAMANDARIS HH AE2 L AH0 M AE1 N D ER0 IH0 S +HALAS HH AA1 L AH0 Z +HALASZ HH AA1 L AH0 SH +HALBACH HH AE1 L B AA0 K +HALBERG HH AE1 L B ER0 G +HALBERSTADT HH AE1 L B ER0 SH T AE0 T +HALBERSTAM HH AE1 L B ER0 S T AE0 M +HALBERT HH AE1 L B ER0 T +HALBIG HH AE1 L B IH0 G +HALBROOK HH AE1 L B R UH0 K +HALBROOKS HH AE1 L B R UH0 K S +HALBUR HH AE1 L B ER0 +HALBUTOGULLARI HH AE0 L B UW2 T OW2 G UW0 L AA1 R IY0 +HALCION HH AE1 L S IY0 AH0 N +HALCION'S HH AE1 L S IY0 AH0 N Z +HALCOMB HH AE1 L K AH0 M +HALCYON HH AE1 L S IY0 AH0 N +HALCYONE HH AE1 L S IY0 OW0 N +HALD HH AO1 L D +HALDAN HH AE1 L D AH0 N +HALDANA HH AH0 L D AE1 N AH0 +HALDEMAN HH AA1 L D M AH0 N +HALDEMAN(2) HH AA1 L D AH0 M AH0 N +HALDEMAN'S HH AA1 L D M AH0 N Z +HALDEMAN'S(2) HH AA1 L D AH0 M AH0 N Z +HALDEN HH AO1 L D AH0 N +HALDER HH AO1 L D ER0 +HALDERMAN HH AO1 L D ER0 M AH0 N +HALE HH EY1 L +HALE'S HH EY1 L Z +HALEBOPP HH AY0 L B AO1 P +HALEN HH EY1 L EH0 N +HALES HH EY1 L Z +HALEVI HH AH0 L EY1 V IY0 +HALEVI(2) HH AH0 L IY1 V IY0 +HALEY HH EY1 L IY0 +HALEY'S HH EY1 L IY0 Z +HALF HH AE1 F +HALF'S HH AE1 F S +HALF-BAKED HH AE1 F B EY2 K T +HALF-COCK HH AE1 F K AA2 K +HALF-COCKED HH AE1 F K AA2 K T +HALF-DOZEN HH AE1 F D AH2 Z AH0 N +HALF-HEARTED HH AE1 F HH AA2 R T IH0 D +HALF-HOUR HH AE1 F AW2 ER0 +HALF-TIME HH AE1 F T AY2 M +HALFACRE HH AE1 F EY2 K ER0 +HALFBACK HH AE1 F B AE2 K +HALFBACKS HH AE1 F B AE2 K S +HALFDAN HH AE1 L F D AH0 N +HALFERTY HH AE1 F ER0 T IY0 +HALFHEARTED HH AE1 F HH AA2 R T IH0 D +HALFHILL HH AE1 F HH IH2 L +HALFMAN HH AE1 F M AH0 N +HALFMANN HH AE1 F M AH0 N +HALFORD HH AE1 F ER0 D +HALFRIDA HH AE1 F R IH0 D AH0 +HALFTIME HH AE1 F T AY2 M +HALFTIMES HH AE1 F T AY2 M Z +HALFTONE HH AE1 F T OW2 N +HALFTONES HH AE1 F T OW2 N Z +HALFWAY HH AE1 F W EY1 +HALFWIT HH AE1 F W IH0 T +HALFWITS HH AE1 F W IH0 T S +HALGREN HH AE1 L G R EH0 N +HALIBURTON HH AE1 L IH0 B ER2 T AH0 N +HALIBUT HH AE1 L AH0 B AH0 T +HALIDE HH AE1 L AY2 D +HALIFA HH AH0 L IY1 F AH0 +HALIFAX HH AE1 L IH0 F AE2 K S +HALIK HH AE1 L IH0 K +HALIMA HH AH0 L IY1 M AH0 +HALIMEDA HH AA0 L IY0 M EY1 D AH0 +HALITE HH AE1 L AY0 T +HALKO HH AE1 L K OW0 +HALL HH AO1 L +HALL'S HH AO1 L Z +HALLA HH AE1 L AH0 +HALLADAY HH AE1 L AH0 D EY2 +HALLAHAN HH AE1 L AH0 HH AE0 N +HALLAM HH AE1 L AH0 M +HALLANAN HH AE1 L AH0 N AH0 N +HALLANDALE HH AE1 L AH0 N D EY2 L +HALLAS HH AE1 L AH0 Z +HALLAUER HH AE1 L AW0 ER0 +HALLBAUER HH AO1 L B AW2 R +HALLBERG HH AO1 L B ER0 G +HALLE HH AE1 L +HALLE(2) HH AE1 L IY0 +HALLECK HH AE1 L IH0 K +HALLELUJAH HH AE2 L AH0 L UW1 Y AH0 +HALLEN HH AO1 L AH0 N +HALLENBECK HH AO1 L AH0 N B EH2 K +HALLER HH AO1 L ER0 +HALLERAN HH AE1 L ER0 AE0 N +HALLET HH AE1 L IH0 T +HALLETT HH AE1 L IH0 T +HALLEY HH AE1 L IY0 +HALLEY(2) HH EY1 L IY0 +HALLFORD HH AE1 L F ER0 D +HALLGARTEN HH AO1 L G AA2 R T AH0 N +HALLGREN HH AE1 L G R EH0 N +HALLIBURTON HH AE1 L IH0 B ER2 T AH0 N +HALLIBURTON'S HH AE1 L IH0 B ER2 T AH0 N Z +HALLICIFORN HH AH0 L IH1 S IH0 F AO0 R N +HALLIDAY HH AE1 L IH0 D EY2 +HALLIE HH AO1 L IY0 +HALLIGAN HH AE1 L IH0 G AH0 N +HALLIN HH AE1 L IH0 N +HALLINAN HH AE1 L IH0 N AH0 N +HALLING HH AO1 L IH0 NG +HALLINGBY HH AO1 L IH0 NG B IY0 +HALLISEY HH AE1 L IH0 S IY0 +HALLMAN HH AO1 L M AH0 N +HALLMARK HH AA1 L M AA2 R K +HALLMARK'S HH AO1 L M AA2 R K S +HALLMARKS HH AO1 L M AA2 R K S +HALLOCK HH AE1 L AH0 K +HALLORAN HH AE1 L ER0 AH0 N +HALLOW HH AE1 L OW0 +HALLOWAY HH AE1 L OW0 W EY2 +HALLOWE'EN HH AE2 L AH0 W IY1 N +HALLOWED HH AE1 L OW0 D +HALLOWEEN HH AE2 L AH0 W IY1 N +HALLOWEEN'S HH AE2 L AH0 W IY1 N Z +HALLOWELL HH AE1 L AH0 W EH0 L +HALLOWS HH AE1 L OW0 Z +HALLQUIST HH AE1 L K W IH0 S T +HALLS HH AO1 L Z +HALLSTROM HH AE1 L S T R AH0 M +HALLUCINATE HH AH0 L UW1 S AH0 N EY0 T +HALLUCINATED HH AH0 L UW1 S AH0 N EY0 T IH0 D +HALLUCINATES HH AH0 L UW1 S AH0 N EY0 T S +HALLUCINATING HH AH0 L UW1 S AH0 N EY0 T IH0 NG +HALLUCINATING(2) HH AH0 L UW1 S IH0 N EY0 T IH0 NG +HALLUCINATION HH AH0 L UW2 S AH0 N EY1 SH AH0 N +HALLUCINATIONS HH AH0 L UW2 S AH0 N EY1 SH AH0 N Z +HALLUCINATORY HH AH0 L UW1 S AH0 N AH0 T AO2 R IY0 +HALLUCINOGENIC HH AH0 L UW2 S AH0 N AH0 JH EH1 N IH0 K +HALLUM HH AE1 L AH0 M +HALLUMS HH AE1 L AH0 M Z +HALLWARD HH AO1 L W ER0 D +HALLWAY HH AO1 L W EY2 +HALLWAYS HH AO1 L W EY2 Z +HALLWOOD HH AO1 L W UH2 D +HALLY HH AE1 L IY0 +HALM HH AA1 M +HALMI HH AO1 L M IY0 +HALMOS HH AO1 L M OW0 S +HALMSTAD HH AA1 L M S T AE2 D +HALO HH EY1 L OW0 +HALOGEN HH AE1 L AH0 JH AH0 N +HALOGENATE HH AE1 L AH0 JH AH0 N EY2 T +HALOGENATED HH AE1 L AH0 JH AH0 N EY2 T IH0 D +HALON HH EY1 L AA2 N +HALOPHYTIC HH AE2 L AH0 F IH1 T IH0 K +HALOS HH EY1 L OW0 Z +HALPER HH AE1 L P ER0 +HALPERIN HH AE1 L P ER0 IH0 N +HALPERIN(2) HH AE1 L P R IH0 N +HALPERN HH AE1 L P ER0 N +HALPERSTANT HH AE1 L P ER0 S T AH0 N T +HALPERT HH AE1 L P ER0 T +HALPIN HH AE1 L P IH0 N +HALPRIN HH AE1 L P R IH0 N +HALSELL HH AE1 L S AH0 L +HALSETH HH AE1 L S IH0 TH +HALSEY HH AE1 L S IY0 +HALSTEAD HH AE1 L S T EH0 D +HALSTED HH AE1 L S T IH0 D +HALSTON HH AO1 L S T AH0 N +HALSTON'S HH AO1 L S T AH0 N Z +HALT HH AO1 L T +HALTED HH AO1 L T AH0 D +HALTED(2) HH AO1 L T IH0 D +HALTEMAN HH EY1 L T M AH0 N +HALTER HH AO1 L T ER0 +HALTER'S HH AO1 L T ER0 Z +HALTERMAN HH AO1 L T ER0 M AH0 N +HALTERS HH AO1 L T ER0 Z +HALTING HH AO1 L T IH0 NG +HALTINGLY HH AO1 L T IH0 NG L IY0 +HALTIWANGER HH AE1 L T IH0 W AH0 NG ER0 +HALTOM HH AE1 L T AH0 M +HALTON HH AE1 L T AH0 N +HALTS HH AO1 L T S +HALUSKA HH AH0 L AH1 S K AH0 +HALVE HH AE1 V +HALVED HH AE1 V D +HALVERSON HH AE1 L V ER0 S AH0 N +HALVES HH AE1 V Z +HALVING HH AE1 V IH0 NG +HALVORSEN HH AE0 L V AO1 R S AH0 N +HALVORSON HH AE1 L V ER0 S AH0 N +HAM HH AE1 M +HAMA HH AA1 M AH0 +HAMACHER HH AE1 M AH0 K ER0 +HAMAD HH AE1 M AH0 D +HAMADA HH AA0 M AA1 D AH0 +HAMADEI HH AE1 M AH0 D EY2 +HAMADI HH AH0 M AA1 D IY0 +HAMAKER HH AA1 M EY0 K ER0 +HAMAL HH EY1 M AH0 L +HAMAMOTO HH AA0 M AA0 M OW1 T OW0 +HAMAN HH EY1 M AH0 N +HAMANAKA HH AH0 M AH0 N AA1 K AH0 +HAMANN HH AA1 M AH0 N +HAMAR HH AH0 M AA1 R +HAMAS HH AA2 M AA1 S +HAMAS' HH AA2 M AA1 S +HAMASAKI HH AA2 M AA0 S AA1 K IY0 +HAMBELTON HH AH0 M B EH1 L T AH0 N +HAMBERG HH AE1 M B ER0 G +HAMBERGER HH AE1 M B ER0 G ER0 +HAMBLEN HH AE1 M B AH0 L AH0 N +HAMBLET HH AE1 M B L IH0 T +HAMBLETON HH AE1 M B AH0 L T AA0 N +HAMBLEY HH AE1 M B L IY0 +HAMBLIN HH AE1 M B L IH0 N +HAMBLY HH AE1 M B L IY0 +HAMBRECHT HH AE1 M B R EH2 K T +HAMBRICK HH AE1 M B R IH2 K +HAMBRIGHT HH AE1 M B R AY2 T +HAMBRO HH AE1 M B R OW0 +HAMBROS HH AE1 M B R OW0 S +HAMBURG HH AE1 M B ER0 G +HAMBURGER HH AE1 M B ER0 G ER0 +HAMBURGERS HH AE1 M B ER0 G ER0 Z +HAMBY HH AE1 M B IY0 +HAMDAN HH AE1 M D AH0 N +HAMDOON HH AE0 M D UW1 N +HAMDUN HH AE1 M D AH0 N +HAMED HH AE1 M D +HAMEISTER HH AE1 M AY0 S T ER0 +HAMEL HH AE1 M AH0 L +HAMELIN HH AE1 M AH0 L IH0 N +HAMELIN(2) HH AE1 M L IH2 N +HAMER HH AE1 M ER0 +HAMES HH EY1 M Z +HAMID HH AH0 M IY1 D +HAMIEL HH AE1 M IY0 L +HAMIL HH AE1 M AH0 L +HAMILL HH AE1 M AH0 L +HAMILTON HH AE1 M AH0 L T AH0 N +HAMILTON'S HH AE1 M AH0 L T AH0 N Z +HAMILTONIAN HH AE1 M AH0 L T OW2 N Y AH0 N +HAMILTONS HH AE1 M AH0 L T AH0 N Z +HAMISH HH AE1 M IH0 SH +HAMITER HH AE1 M AY0 T ER0 +HAMITIC HH AE0 M IH1 T IH0 K +HAMLER HH AE1 M AH0 L ER0 +HAMLER(2) HH AE1 M L ER0 +HAMLET HH AE1 M L AH0 T +HAMLET(2) HH AE1 M L IH0 T +HAMLETS HH AE1 M L AH0 T S +HAMLETT HH AE1 M L IH0 T +HAMLEY HH AE1 M L IY0 +HAMLEY'S HH AE1 M L IY0 Z +HAMLIN HH AE1 M L IH0 N +HAMLING HH AE1 M L IH0 NG +HAMLISCH HH AE1 M L IH0 SH +HAMLISCH'S HH AE1 M L IH0 SH AH0 Z +HAMM HH AE1 M +HAMMAC HH AE1 M AH0 K +HAMMACHER HH AE1 M AA2 K ER0 +HAMMACK HH AE1 M AH0 K +HAMMAKER HH AE1 M EY2 K ER0 +HAMMAN HH AE1 M AH0 N +HAMMANN HH AE1 M AH0 N +HAMMAR HH AE1 M ER0 +HAMMAS HH AH0 M AA1 S +HAMMAS' HH AH0 M AA1 S +HAMMAS'S HH AH0 M AA1 S IH0 S +HAMME HH AE1 M +HAMMEL HH AE1 M AH0 L +HAMMELL HH AE1 M AH0 L +HAMMEN HH AE1 M AH0 N +HAMMER HH AE1 M ER0 +HAMMER'S HH AE1 M ER0 Z +HAMMERED HH AE1 M ER0 D +HAMMERING HH AE1 M ER0 IH0 NG +HAMMERLE HH AE1 M ER0 AH0 L +HAMMERLOCK HH AE1 M ER0 L AA2 K +HAMMERMAN HH AE1 M ER0 M AH0 N +HAMMERMEISTER HH AE1 M ER0 M AY2 S T ER0 +HAMMERMILL HH AE1 M ER0 M IH2 L +HAMMERS HH AE1 M ER0 Z +HAMMERSCHMIDT HH AE1 M ER0 SH M IH2 T +HAMMERSLEY HH AE1 M ER0 S L IY0 +HAMMERSMITH HH AE1 M ER0 S M IH2 TH +HAMMERSON HH AE1 M ER0 S AH0 N +HAMMERSTEIN HH AE1 M ER0 S T IY2 N +HAMMERSTEIN(2) HH AE1 M ER0 S T AY2 N +HAMMERSTEIN'S HH AE1 M ER0 S T IY2 N Z +HAMMERSTEIN'S(2) HH AE1 M ER0 S T AY2 N Z +HAMMERSTROM HH AE1 M ER0 S T R AH0 M +HAMMES HH AE1 M Z +HAMMETT HH AE1 M IH0 T +HAMMILL HH AE1 M AH0 L +HAMMITT HH AE1 M IH0 T +HAMMOCK HH AE1 M AH0 K +HAMMOCKS HH AE1 M AH0 K S +HAMMON HH AE1 M AH0 N +HAMMOND HH AE1 M AH0 N D +HAMMONDS HH AE1 M AH0 N D Z +HAMMONS HH AE1 M AH0 N Z +HAMMONTREE HH AE0 M AH0 N T R IY1 +HAMMURABI HH AE1 M AH0 R AA2 B IY2 +HAMNER HH AE1 M N ER0 +HAMON HH AE1 M AH0 N +HAMOR HH AE1 M ER0 +HAMP HH AE1 M P +HAMPE HH AE1 M P +HAMPEL HH AE1 M P AH0 L +HAMPER HH AE1 M P ER0 +HAMPERED HH AE1 M P ER0 D +HAMPERING HH AE1 M P ER0 IH0 NG +HAMPERS HH AE1 M P ER0 Z +HAMPLE HH AE1 M P AH0 L +HAMPSHIRE HH AE1 M P SH ER0 +HAMPSHIRE(2) HH AE1 M SH ER0 +HAMPSHIRE(3) HH AE1 M P SH AY0 ER0 +HAMPSHIRE(4) HH AE1 M SH AY0 ER0 +HAMPSHIRE'S HH AE1 M P SH ER0 Z +HAMPSHIRE'S(2) HH AE1 M SH ER0 Z +HAMPSHIRE'S(3) HH AE1 M P SH AY0 ER0 Z +HAMPSHIRE'S(4) HH AE1 M SH AY0 ER0 Z +HAMPSHIRITES HH AE1 M P SH ER0 AY2 T S +HAMPSON HH AE1 M P S AH0 N +HAMPSTEAD HH AE1 M P S T EH2 D +HAMPTON HH AE1 M P T AH0 N +HAMPTON'S HH AE1 M P T AH0 N Z +HAMPTONS HH AE1 M P T AH0 N Z +HAMPTONSHIRE HH AE1 M P T AH0 N SH ER0 +HAMPTONSHIRE'S HH AE1 M P T AH0 N SH ER0 Z +HAMRE HH AE1 M ER0 +HAMRIC HH AE1 M R IH0 K +HAMRICK HH AE1 M R IH0 K +HAMROCK HH AE1 M R AA2 K +HAMS HH AE1 M Z +HAMSHER HH AE1 M SH ER0 +HAMSON HH AE1 M S AH0 N +HAMSPHIRE HH AE1 M S F AY2 R +HAMSTER HH AE1 M S T ER0 +HAMSTERS HH AE1 M S T ER0 Z +HAMSTRA HH AE1 M S T R AH0 +HAMSTRING HH AE1 M S T R IH2 NG +HAMSTRINGS HH AE1 M S T R IH2 NG Z +HAMSTRUNG HH AE1 M S T R AH0 NG +HAMTRAMCK HH AE0 M T R AE1 M IH0 K +HAN HH AA1 N +HAN(2) HH AE1 N +HAN'S HH AA1 N Z +HAN'S(2) HH AE1 N Z +HANA HH AE1 N AH0 +HANAFIN HH AE1 N AH0 F IH0 N +HANAGAN HH AA0 N AA1 G AA0 N +HANAHAN HH AE1 N AH0 HH AE0 N +HANAK HH AA1 N AH0 K +HANAN HH EY1 N AH0 N +HANAS HH AE1 N AH0 Z +HANAUER HH AE1 N AW0 ER0 +HANAWALT HH AE1 N AH0 W AO2 L T +HANAWAY HH AE1 N AH0 W EY0 +HANBACK HH AE1 N B AE2 K +HANBERRY HH AE1 N B EH2 R IY0 +HANBO HH AE1 N B OW0 +HANBURY HH AE1 N B EH2 R IY0 +HANBY HH AE1 N B IY0 +HANCE HH AE1 N S +HANCHER HH AE1 N CH ER0 +HANCHETT HH AE1 N CH IH0 T +HANCHEY HH AE1 N CH IY0 +HANCOCK HH AE1 N K AA2 K +HANCOCK'S HH AE1 N K AA2 K S +HANCOX HH AE1 N K AA0 K S +HAND HH AE1 N D +HAND'S HH AE1 N D Z +HAND-HELD HH AE1 N D HH EH2 L D +HANDA HH AE1 N D AH0 +HANDBAG HH AE1 N D B AE2 G +HANDBAGS HH AE1 N D B AE2 G Z +HANDBALL HH AE1 N D B AO2 L +HANDBALLS HH AE1 N D B AO2 L Z +HANDBILL HH AE1 N D B IH2 L +HANDBILLS HH AE1 N D B IH2 L Z +HANDBOOK HH AE1 N D B UH2 K +HANDBOOKS HH AE1 N D B UH2 K S +HANDCLASP HH AE1 N D K L AE2 S P +HANDCRAFT HH AE1 N D K R AE2 F T +HANDCRAFTED HH AE1 N D K R AE2 F T IH0 D +HANDCRAFTS HH AE1 N D K R AE2 F T S +HANDCUFF HH AE1 N D K AH2 F +HANDCUFFED HH AE1 N D K AH2 F T +HANDCUFFING HH AE1 N D K AH2 F IH0 NG +HANDCUFFS HH AE1 N D K AH2 F S +HANDED HH AE1 N D AH0 D +HANDED(2) HH AE1 N D IH0 D +HANDEDLY HH AE1 N D IH0 D L IY0 +HANDEDNESS HH AE1 N D AH0 D N AH0 S +HANDEL HH AE1 N D AH0 L +HANDEL'S HH AE1 N D AH0 L Z +HANDELAND HH AE1 N D IH0 L AH0 N D +HANDELMAN HH AE1 N D AH0 L M AH0 N +HANDELS HH AE1 N D AH0 L Z +HANDELSBANK HH AE1 N D AH0 L Z B AE2 NG K +HANDELSBANKEN HH AE2 N D AH0 L S B AE1 NG K AH0 N +HANDELSMAN HH AE1 N D IH0 L S M AH0 N +HANDER HH AE1 N D ER0 +HANDERS HH AE1 N D ER0 Z +HANDFORD HH AE1 N D F ER0 D +HANDFUL HH AE1 N D F UH2 L +HANDFULS HH AE1 N D F UH2 L Z +HANDGUN HH AE1 N D G AH2 N +HANDGUNS HH AE1 N D G AH2 N Z +HANDHELD HH AE1 N D HH EH1 L D +HANDHOLD HH AE1 N D HH OW2 L D +HANDHOLDING HH AE1 N D HH OW2 L D IH0 NG +HANDICAP HH AE1 N D IY0 K AE2 P +HANDICAPPED HH AE1 N D IY0 K AE2 P T +HANDICAPPER HH AE1 N D IY0 K AE2 P ER0 +HANDICAPPERS HH AE1 N D IY0 K AE2 P ER0 Z +HANDICAPPING HH AE1 N D IY0 K AE2 P IH0 NG +HANDICAPS HH AE1 N D IY0 K AE2 P S +HANDICRAFT HH AE1 N D IY0 K R AE2 F T +HANDICRAFTS HH AE1 N D IY0 K R AE2 F T S +HANDIER HH AE1 N D IY0 ER0 +HANDIEST HH AE1 N D IY0 AH0 S T +HANDILY HH AE1 N D AH0 L IY0 +HANDING HH AE1 N D IH0 NG +HANDIWORK HH AE1 N D IY0 W ER2 K +HANDKE HH AE1 N D K IY0 +HANDKERCHIEF HH AE1 NG K ER0 CH IH0 F +HANDKERCHIEF(2) HH AE1 NG K ER0 CH IY0 F +HANDKERCHIEFS HH AE1 NG K ER0 CH AH0 F S +HANDKERCHIEFS(2) HH AE1 NG K ER0 CH IY0 F S +HANDLE HH AE1 N D AH0 L +HANDLEBAR HH AE1 N D AH0 L B AA2 R +HANDLEBARS HH AE1 N D AH0 L B AA2 R Z +HANDLED HH AE1 N D AH0 L D +HANDLER HH AE1 N D L ER0 +HANDLER(2) HH AE1 N D AH0 L ER0 +HANDLERS HH AE1 N D L ER0 Z +HANDLERS(2) HH AE1 N D AH0 L ER0 Z +HANDLES HH AE1 N D AH0 L Z +HANDLEY HH AE1 N D L IY0 +HANDLIN HH AE1 N D L IH0 N +HANDLING HH AE1 N D L IH0 NG +HANDLING(2) HH AE1 N D AH0 L IH0 NG +HANDLON HH AE1 N D L AH0 N +HANDLOOM HH AE1 N D L UW2 M +HANDLOOMS HH AE1 N D L UW2 M Z +HANDLY HH AE1 N D L IY0 +HANDMADE HH AE1 N D M EY1 D +HANDMADE(2) HH AE1 N M EY1 D +HANDOUT HH AE1 N D AW2 T +HANDOUTS HH AE1 N D AW2 T S +HANDOVER HH AE1 N D OW0 V ER0 +HANDPICK HH AE1 N D P IH1 K +HANDPICKED HH AE1 N D P IH1 K T +HANDRAIL HH AE1 N D R EY2 L +HANDRAILS HH AE1 N D R EY2 L Z +HANDRICH HH AE1 N D R IH0 K +HANDROS HH AE1 N D R OW0 S +HANDS HH AE1 N D Z +HANDS(2) HH AE1 N Z +HANDS-ON HH AE2 N Z AO1 N +HANDSAW HH AE1 N D S AO2 +HANDSAWS HH AE1 N D S AO2 Z +HANDSET HH AE1 N D S EH2 T +HANDSETS HH AE1 N D S EH2 T S +HANDSHAKE HH AE1 N D SH EY2 K +HANDSHAKES HH AE1 N D SH EY2 K S +HANDSHAKING HH AE1 N D SH EY2 K IH0 NG +HANDSOME HH AE1 N S AH0 M +HANDSOMELY HH AE1 N S AH0 M L IY0 +HANDSTAND HH AE1 N D S T AE2 N D +HANDSTANDS HH AE1 N D S T AE2 N D Z +HANDWERK HH AE1 N D W ER0 K +HANDWERKER HH AE1 N D W ER0 K ER0 +HANDWOVEN HH AE1 N D W OW1 V AH0 N +HANDWOVEN(2) HH AE1 N W OW1 V AH0 N +HANDWRITING HH AE1 N D R AY2 T IH0 NG +HANDWRITTEN HH AE1 N D R IH2 T AH0 N +HANDY HH AE1 N D IY0 +HANDYMAN HH AE1 N D IY0 M AE2 N +HANDYMEN HH AE1 N D IY0 M EH1 N +HANE HH EY1 N +HANEDA HH AH0 N EY1 D AH0 +HANEL HH AE1 N AH0 L +HANELINE HH AE1 N IH0 L AY2 N +HANEMANN HH EY1 N M AH0 N +HANER HH EY1 N ER0 +HANES HH EY1 N Z +HANEY HH EY1 N IY0 +HANF HH AE1 N F +HANFORD HH AE1 N F ER0 D +HANFT HH AE1 N F T +HANG HH AE1 NG +HANGAR HH AE1 NG ER0 +HANGARS HH AE1 NG ER0 Z +HANGARTNER HH AE1 NG G AA0 R T N ER0 +HANGED HH AE1 NG D +HANGEN HH AE1 NG AH0 N +HANGER HH AE1 NG ER0 +HANGERS HH AE1 NG ER0 Z +HANGIN' HH AE1 NG G IH0 N +HANGING HH AE1 NG IH0 NG +HANGING(2) HH AE1 NG G IH0 NG +HANGINGS HH AE1 NG G IH0 NG Z +HANGMAN HH AE1 NG M AH0 N +HANGOUT HH AE1 NG AW2 T +HANGOUTS HH AE1 NG AW2 T S +HANGOVER HH AE1 NG OW2 V ER0 +HANGOVERS HH AE1 NG OW2 V ER0 Z +HANGS HH AE1 NG Z +HANGSANG HH AE1 NG S AE2 NG +HANGSANG'S HH AE1 NG S AE2 NG Z +HANGUL HH AE1 N G UH2 L +HANGUP HH AE1 NG G AH2 P +HANGUPS HH AE1 NG G AH2 P S +HANI HH AE1 N IY0 +HANI'S HH AE1 N IY0 Z +HANIFEN HH AE1 N IH0 F AH0 N +HANIFIN HH AE1 N IH0 F IH0 N +HANIGAN HH AE1 N IH0 G AH0 N +HANING HH EY1 N IH0 NG +HANISCH HH AE1 N IH0 SH +HANISEE HH AE1 N IH0 S IY0 +HANISH HH AE1 N IH0 SH +HANJIN HH AE1 N JH IH0 N +HANK HH AE1 NG K +HANK'S HH AE1 N K S +HANKE HH AE1 NG K +HANKEL HH AE1 NG K AH0 L +HANKEN HH AE1 NG K AH0 N +HANKER HH AE1 NG K ER0 +HANKERING HH AE1 NG K ER0 IH0 NG +HANKERSON HH AE1 NG K ER0 S AH0 N +HANKES HH AE1 NG K S +HANKEY HH AE1 NG K IY0 +HANKIN HH AE1 NG K IH0 N +HANKINS HH AE1 NG K IH0 N Z +HANKINSON HH AE1 NG K IH0 N S AH0 N +HANKLA HH AE1 NG K L AH0 +HANKO HH AE1 NG K OW0 +HANKS HH AE1 NG K S +HANKY HH AE1 NG K IY0 +HANLEY HH AE1 N L IY0 +HANLEY'S HH AE1 N L IY0 Z +HANLIN HH AE1 N L IH0 N +HANLON HH AE1 N L AH0 N +HANLY HH AE1 N L IY0 +HANMER HH AE1 N M ER0 +HANN HH AE1 N +HANNA HH AE1 N AH0 +HANNA'S HH AE1 N AH0 Z +HANNAFORD HH AE1 N AH0 F ER0 D +HANNAGAN HH AE1 N AH0 G AE0 N +HANNAH HH AE1 N AH0 +HANNAHS HH AE1 N AH0 Z +HANNAM HH AE1 N AH0 M +HANNAMAN HH AE1 N AH0 M AH0 N +HANNAN HH AE1 N AH0 N +HANNAY HH AE1 N EY0 +HANNEKEN HH AE1 N IH0 K AH0 N +HANNEMAN HH AE1 N M AH0 N +HANNEMANN HH AE1 N M AH0 N +HANNEN HH AE1 N AH0 N +HANNER HH AE1 N ER0 +HANNERS HH AE1 N ER0 Z +HANNES HH AE1 N Z +HANNESSON HH AE1 N AH0 S AH0 N +HANNEY HH AE1 N IY0 +HANNI HH AE1 N IY0 +HANNIBAL HH AE1 N IH0 B AH0 L +HANNIE HH AE1 N IY0 +HANNIFIN HH AE1 N IH0 F IH0 N +HANNIG HH AE1 N IH0 G +HANNIGAN HH AE1 N IH0 G AH0 N +HANNING HH AE1 N IH0 NG +HANNIS HH AE1 N IH0 S +HANNITY HH AE1 N IH0 T IY0 +HANNOCH HH AE1 N AH0 K +HANNOLD HH AE1 N OW2 L D +HANNON HH AE1 N AH0 N +HANNULA HH AE1 N UW0 L AH0 +HANNUM HH AE1 N AH0 M +HANNY HH AE1 N IY0 +HANO HH AA1 N OW0 +HANOI HH AE1 N OY0 +HANOI'S HH AH0 N OY1 Z +HANOLD HH AE1 N OW0 L D +HANOVER HH AE1 N OW0 V ER0 +HANOVER'S HH AE1 N OW0 V ER0 Z +HANOVERIAN HH AE2 N OW0 V IH1 R IY0 AH0 N +HANRAHAN HH AE1 N R AH0 HH AE0 N +HANRATTY HH AE1 N R AH0 T IY0 +HANS HH AA1 N S +HANS(2) HH AE1 N Z +HANSA HH AE1 N S AH0 +HANSARD HH AE1 N S ER0 D +HANSBERGER HH AE1 N S B ER0 G ER0 +HANSBERRY HH AE1 N S B EH2 R IY0 +HANSBROUGH HH AE1 N S B R AW0 +HANSBURY HH AE1 N S B EH0 R IY0 +HANSCHE HH AE1 N SH IY0 +HANSCOM HH AE1 N S K AH0 M +HANSEATIC HH AE2 N S IY0 AE1 T IH0 K +HANSEL HH AE1 N S AH0 L +HANSELL HH AE1 N S AH0 L +HANSELMAN HH AE1 N S AH0 L M AH0 N +HANSEN HH AE1 N S AH0 N +HANSEN'S HH AE1 N S AH0 N Z +HANSER HH AA1 N S ER0 +HANSFORD HH AE1 N S F ER0 D +HANSHAW HH AE1 N SH AO2 +HANSHEW HH AE1 N SH UW0 +HANSHIN HH AE1 N SH IH0 N +HANSLEY HH AE1 N S L IY0 +HANSMA HH AE1 N S M AH0 +HANSMAN HH AE1 N S M AH0 N +HANSMANN HH AE1 N S M AH0 N +HANSOM HH AE1 N S AH0 M +HANSON HH AE1 N S AH0 N +HANSON'S HH AE1 N S AH0 N Z +HANSSEN HH AE1 N S AH0 N +HANSSON HH AE1 N S AH0 N +HANTA HH AE1 N T AH0 +HANTA(2) HH AA1 N T AH0 +HANTAVIRUS HH AE1 N T AH0 V AY2 R AH0 S +HANTEN HH AE1 N T AH0 N +HANTHORN HH AE1 N TH ER0 N +HANTMAN HH AE1 N T M AH0 N +HANTZ HH AE1 N T S +HANUKKAH HH AA1 N AH0 K AH0 +HANUKKAH'S HH AA1 N AH0 K AH0 Z +HANUKKAHS HH AA1 N AH0 K AH0 Z +HANUS HH EY1 N IH0 S +HANVEY HH AE1 N V IY0 +HANWA HH AE1 N W AH0 +HANWA'S HH AE1 N W AH0 Z +HANWAY HH AE1 N W EY2 +HANY HH EY1 N IY0 +HANY'S HH EY1 N IY0 Z +HANZEL HH AE1 N Z AH0 L +HANZLIK HH AE1 N Z L IH0 K +HAO HH AW1 +HAO-CHI HH AW1 CH IY1 +HAP HH AE1 P +HAPAG HH EY1 P AE2 G +HAPEMAN HH EY1 P M AH0 N +HAPGOOD HH AE1 P G UH2 D +HAPHAZARD HH AE0 P HH AE1 Z ER0 D +HAPHAZARDLY HH AE1 F AH0 Z ER0 D L IY0 +HAPHAZARDLY(2) HH AE0 P HH AE1 Z ER0 D L IY0 +HAPKE HH EY1 P K IY0 +HAPLESS HH AE1 P L AH0 S +HAPLOID HH AE1 P L OY0 D +HAPNER HH AE1 P N ER0 +HAPOALIM HH AH0 P OW1 L IH0 M +HAPOALIM(2) HH AH0 P OW2 AH0 L IY1 M +HAPP HH AE1 P +HAPPE HH AE1 P +HAPPEL HH AE1 P AH0 L +HAPPEN HH AE1 P AH0 N +HAPPENED HH AE1 P AH0 N D +HAPPENING HH AE1 P AH0 N IH0 NG +HAPPENING(2) HH AE1 P N IH0 NG +HAPPENINGS HH AE1 P AH0 N IH0 NG Z +HAPPENINGS(2) HH AE1 P N IH0 NG Z +HAPPENS HH AE1 P AH0 N Z +HAPPENSTANCE HH AE1 P AH0 N S T AE2 N S +HAPPIER HH AE1 P IY0 ER0 +HAPPIEST HH AE1 P IY0 AH0 S T +HAPPILY HH AE1 P AH0 L IY0 +HAPPINESS HH AE1 P IY0 N AH0 S +HAPPY HH AE1 P IY0 +HAPSBURG HH AE1 P S B ER0 G +HAQ HH AE1 K +HAQ'S HH AE1 K S +HAQUE HH AE1 K +HAR HH AA1 R +HARA HH EH1 R AH0 +HARA-KIRI HH AA1 R IH0 K IH1 R IY0 +HARADA HH AA0 R AA1 D AH0 +HARADIM HH AH0 R AE1 D IH2 M +HARADIM(2) HH AH0 R AE2 D IY1 M +HARAHAN HH AE1 R AH0 HH AE2 N +HARALD HH AA1 R AH0 L D +HARALDA HH AA0 R AA1 L D AH0 +HARALSON HH AE1 R AH0 L S AH0 N +HARAN HH AE1 R AH0 N +HARANGUE HH ER0 AE1 NG +HARANGUED HH ER0 AE1 NG D +HARANGUES HH ER0 AE1 NG Z +HARANGUING HH ER0 AE1 NG IH0 NG +HARARE HH ER0 AA1 R IY0 +HARASS HH ER0 AE1 S +HARASSED HH ER0 AE1 S T +HARASSER HH ER0 AE1 S ER0 +HARASSERS HH ER0 AE1 S ER0 Z +HARASSES HH ER0 AE1 S IH0 Z +HARASSING HH ER0 AE1 S IH0 NG +HARASSMENT HH ER0 AE1 S M AH0 N T +HARASZTI HH ER0 AE1 S T IY0 +HARAWAY HH AA1 R AH0 W EY0 +HARB HH AA1 R B +HARBACH HH AA1 R B AA2 K +HARBAUGH HH AA1 R B AO2 +HARBECK HH AA1 R B EH2 K +HARBER HH AA1 R B ER0 +HARBERT HH AA1 R B ER0 T +HARBERTS HH AA1 R B ER0 T S +HARBESON HH AA1 R B IH0 S AH0 N +HARBIN HH AA1 R B IH0 N +HARBINGER HH AA1 R B IH0 N JH ER0 +HARBINGERS HH AA1 R B IH0 NG ER0 Z +HARBINSON HH AA1 R B IH0 N S AH0 N +HARBISON HH AA1 R B IH0 S AH0 N +HARBOLD HH AA1 R B OW2 L D +HARBOR HH AA1 R B ER0 +HARBOR'S HH AA1 R B ER0 Z +HARBORED HH AA1 R B ER0 D +HARBORING HH AA1 R B ER0 IH0 NG +HARBORS HH AA1 R B ER0 Z +HARBORSIDE HH AA1 R B ER0 S AY2 D +HARBORY HH AA1 R B AH0 R IY0 +HARBOUR HH AA1 R B ER0 +HARBUCK HH AA1 R B AH0 K +HARBURY HH AA1 R B ER0 IY0 +HARC HH AA1 R K +HARCLERODE HH AA1 R K AH0 L ER0 OW0 D +HARCLERODE(2) HH AA1 R K L ER0 OW0 D +HARCOURT HH AA1 R K AO2 R T +HARCOURT'S HH AA1 R K ER0 T S +HARCROW HH AA1 R K R OW0 +HARCUM HH AA1 R K AH0 M +HARD HH AA1 R D +HARD-ASS HH AA2 R D AE2 S +HARD-WORKING HH AA2 R D HH W ER1 K IH0 NG +HARDACRE HH AA1 R D EY2 K ER0 +HARDAGE HH AA1 R D IH0 JH +HARDART HH AA1 R D AA2 R T +HARDAWAY HH AA1 R D AH0 W EY2 +HARDBACK HH AA1 R D B AE2 K +HARDBALL HH AA1 R D B AO2 L +HARDBOARD HH AA1 R D B AO2 R D +HARDCASTLE HH AA1 R D K AE2 S AH0 L +HARDCASTLE'S HH AA1 R D K AE2 S AH0 L Z +HARDCORE HH AA1 R D K AO1 R +HARDCOVER HH AA1 R D K AH2 V ER0 +HARDCOVERS HH AA1 R D K AH2 V ER0 Z +HARDEBECK HH AA1 R D B EH0 K +HARDEE HH AA1 R D IY1 +HARDEE'S HH AA1 R D IY1 Z +HARDEGREE HH AA0 R D IH0 G R IY1 +HARDEMAN HH AA1 R D M AH0 N +HARDEN HH AA1 R D AH0 N +HARDEN'S HH AA1 R D AH0 N Z +HARDENBROOK HH AA1 R D AH0 N B R UH2 K +HARDENED HH AA1 R D AH0 N D +HARDENER HH AA1 R D AH0 N ER0 +HARDENERS HH AA1 R D AH0 N ER0 Z +HARDENING HH AA1 R D AH0 N IH0 NG +HARDENING(2) HH AA1 R D N IH0 NG +HARDENS HH AA1 R D AH0 N Z +HARDER HH AA1 R D ER0 +HARDERS HH AA1 R D ER0 Z +HARDEST HH AA1 R D AH0 S T +HARDESTY HH AA1 R D AH0 S T IY0 +HARDEY HH AA1 R D IY0 +HARDGOOD HH AA1 R D G UH2 D +HARDGOODS HH AA1 R D G UH2 D Z +HARDGRAVE HH AA1 R D G R EY2 V +HARDGROVE HH AA1 R D G R OW2 V +HARDHEAD HH AA1 R D HH EH2 D +HARDHEADED HH AA1 R D HH EH2 D IH0 D +HARDICK HH AA1 R D IH0 K +HARDIE HH AA1 R D IY0 +HARDIER HH AA1 R D IY0 ER0 +HARDIEST HH AA1 R D IY0 AH0 S T +HARDIGREE HH AA0 R D IH0 G R IY1 +HARDIMAN HH AA1 R D IH0 M AH0 N +HARDIMON HH AA1 R D IH0 M AA0 N +HARDIN HH AA1 R D IH0 N +HARDING HH AA1 R D IH0 NG +HARDING'S HH AA1 R D IH0 NG S +HARDINGER HH AA1 R D IH0 NG ER0 +HARDISON HH AA1 R D IH0 S AH0 N +HARDISTER HH AA1 R D IH0 S T ER0 +HARDISTY HH AA1 R D IH0 S T IY0 +HARDLINE HH AA1 R D L AY2 N +HARDLINER HH AA1 R D L AY2 N ER0 +HARDLINERS HH AA1 R D L AY2 N ER0 Z +HARDLY HH AA1 R D L IY0 +HARDMAN HH AA1 R D M AH0 N +HARDNESS HH AA1 R D N AH0 S +HARDNETT HH AA1 R D N IH0 T +HARDPRESSED HH AA1 R D P R EH2 S T +HARDRICK HH AA1 R D R IH0 K +HARDS HH AA1 R D Z +HARDSCRABBLE HH AA1 R D S K R AE2 B AH0 L +HARDSHIP HH AA1 R D SH IH0 P +HARDSHIPS HH AA1 R D SH IH0 P S +HARDT HH AA1 R T +HARDTKE HH AA1 R D K IY0 +HARDWARE HH AA1 R D W EH2 R +HARDWAY HH AA1 R D W EY2 +HARDWICK HH AA1 R D W IH2 K +HARDWICKE HH AA1 R D W IH0 K +HARDWIN HH AA1 R D W IH0 N +HARDWIRED HH AA2 R D W AY1 ER0 D +HARDWOOD HH AA1 R D W UH2 D +HARDWOODS HH AA1 R D W UH2 D Z +HARDWORK HH AA1 R D W ER2 K +HARDWORKING HH AA1 R D W ER2 K IH0 NG +HARDY HH AA1 R D IY0 +HARDY'S HH AA1 R D IY0 Z +HARDYMON HH AA1 R D IY0 M AA2 N +HARE HH EH1 R +HARE'S HH EH1 R Z +HAREBRAINED HH EH1 R B R EY2 N D +HARELSON HH AE1 R IH0 L S AH0 N +HAREM HH EH1 R AH0 M +HAREN HH EH1 R AH0 N +HARER HH EH1 R ER0 +HARES HH EH1 R Z +HAREWOOD HH EH1 R W UH2 D +HARFF HH AA1 R F +HARFORD HH AA1 R F ER0 D +HARGADON HH AA0 R G AA0 D AO1 N +HARGAN HH AA1 R G AH0 N +HARGARTEN HH AA1 R G AA0 R T AH0 N +HARGENS HH AA1 R G AH0 N Z +HARGER HH AA1 R G ER0 +HARGETT HH AA1 R JH IH0 T +HARGIS HH AA1 R G IH0 S +HARGRAVE HH AA1 R G R EY2 V +HARGRAVES HH AA1 R G R EY2 V Z +HARGREAVES HH AA1 R G R IY2 V Z +HARGROVE HH AA1 R G R OW2 V +HARGUS HH AA1 R G AH0 S +HARI HH AA1 R IY0 +HARIG HH AE1 R IH0 G +HARIMA HH EH0 R IY1 M AH0 +HARING HH EH1 R IH0 NG +HARIRI HH ER0 IH1 R IY0 +HARIS HH AA1 R IY0 S +HARIS(2) HH EH1 R IH0 S +HARITOS HH EH0 R IY1 T OW0 S +HARIZ HH EH1 R IH0 Z +HARJO HH AA1 R JH OW0 +HARJU HH AA1 R Y UW0 +HARK HH AA1 R K +HARKAVY HH AA1 R K AH0 V IY0 +HARKE HH AA1 R K +HARKEN HH AA1 R K AH0 N +HARKENS HH AA1 R K AH0 N Z +HARKER HH AA1 R K ER0 +HARKEY HH AA1 R K IY0 +HARKIN HH AA1 R K IH0 N +HARKIN'S HH AA1 R K IH0 N Z +HARKING HH AA1 R K IH0 NG +HARKINS HH AA1 R K IH0 N Z +HARKLEROAD HH AA1 R K L ER0 OW0 D +HARKLESS HH AA1 R K L AH0 S +HARKNESS HH AA1 R K N AH0 S +HARKRADER HH AA1 R K R AH0 D ER0 +HARKRIDER HH AA1 R K R AY2 D ER0 +HARKS HH AA1 R K S +HARL HH AA1 R L +HARLACHER HH AA1 R L AH0 K ER0 +HARLAN HH AA1 R L AH0 N +HARLAND HH AA1 R L AH0 N D +HARLE HH AA1 R AH0 L +HARLEM HH AA1 R L AH0 M +HARLEM'S HH AA1 R L AH0 M Z +HARLEMAN HH AA1 R AH0 L M AH0 N +HARLEQUIN HH AA1 R L AH0 K W AH0 N +HARLESS HH AA1 R L IH0 S +HARLEY HH AA1 R L IY0 +HARLEY'S HH AA1 R L IY0 Z +HARLEYSVILLE HH AA1 R L IY0 Z V IH2 L +HARLIN HH AA1 R L IH0 N +HARLIN'S HH AA1 R L IH0 N Z +HARLING HH AA1 R L IH0 NG +HARLINGEN HH AA1 R L IH0 NG AH0 N +HARLISON HH AA1 R L IH0 S AH0 N +HARLOFF HH AA1 R L AO0 F +HARLOT HH AA1 R L AH0 T +HARLOW HH AA1 R L OW0 +HARM HH AA1 R M +HARM'S HH AA1 R M Z +HARMAN HH AA1 R M AH0 N +HARMATA HH AA0 R M AA1 T AH0 +HARMATTAN HH AA2 R M AH0 T AE1 N +HARMED HH AA1 R M D +HARMEL HH AA1 R M AH0 L +HARMEN HH AA1 R M AH0 N +HARMENING HH AA1 R M AH0 N IH0 NG +HARMER HH AA1 R M ER0 +HARMES HH AA1 R M Z +HARMETZ HH AA1 R M EH2 T S +HARMEYER HH AA1 R M AY2 ER0 +HARMFUL HH AA1 R M F AH0 L +HARMFULLY HH AA1 R M F AH0 L IY0 +HARMFULNESS HH AA1 R M F AH0 L N AH0 S +HARMING HH AA1 R M IH0 NG +HARMISON HH AA1 R M IH0 S AH0 N +HARMLESS HH AA1 R M L AH0 S +HARMLESSLY HH AA1 R M L AH0 S L IY0 +HARMON HH AA1 R M AH0 N +HARMON'S HH AA1 R M AH0 N Z +HARMONIA HH AA0 R M OW1 N IY0 AH0 +HARMONIC HH AA0 R M AA1 N IH0 K +HARMONICA HH AA0 R M AA1 N IH0 K AH0 +HARMONICS HH AA0 R M AA1 N IH0 K S +HARMONIE HH AA1 R M AH0 N IY0 +HARMONIES HH AA1 R M AH0 N IY0 Z +HARMONIOUS HH AA0 R M OW1 N IY0 AH0 S +HARMONIOUSLY HH AA0 R M OW1 N IY0 AH0 S L IY0 +HARMONIUM HH AA0 R M OW1 N IY0 AH0 M +HARMONIZATION HH AA2 R M AH0 N IH0 Z EY1 SH AH0 N +HARMONIZE HH AA1 R M AH0 N AY2 Z +HARMONIZED HH AA1 R M AH0 N AY2 Z D +HARMONIZES HH AA1 R M AH0 N AY2 Z IH0 Z +HARMONIZING HH AA1 R M AH0 N AY2 Z IH0 NG +HARMONY HH AA1 R M AH0 N IY0 +HARMS HH AA1 R M Z +HARMSEN HH AA1 R M S AH0 N +HARN HH AA1 R N +HARNACK HH AA1 R N AH0 K +HARNAGE HH AA1 R N IH0 JH +HARNDEN HH AA1 R N D AH0 N +HARNE HH AA1 R N +HARNED HH AA1 R N D +HARNER HH AA1 R N ER0 +HARNESS HH AA1 R N AH0 S +HARNESS(2) HH AA1 R N IH0 S +HARNESSED HH AA1 R N AH0 S T +HARNESSES HH AA1 R N AH0 S AH0 Z +HARNESSES(2) HH AA1 R N AH0 S IH0 Z +HARNESSING HH AA1 R N AH0 S IH0 NG +HARNETT HH AA1 R N IH0 T +HARNEY HH AA1 R N IY0 +HARNISCH HH AA1 R N IH0 SH +HARNISCHFEGER HH AA1 R N IH0 SH F EH2 G ER0 +HARNISCHFEGER'S HH AA1 R N IH0 SH F EH2 G ER0 Z +HARNISH HH AA1 R N IH0 SH +HARNOIS HH AA0 R N W AA1 +HARO HH AA1 R OW0 +HAROLD HH EH1 R AH0 L D +HAROLD'S HH EH1 R AH0 L D Z +HAROLDSON HH AE1 R OW0 L D S AH0 N +HARP HH AA1 R P +HARPE HH AA1 R P +HARPED HH AA1 R P T +HARPEL HH AA0 R P EH1 L +HARPENAU HH AA1 R P IH0 N OW0 +HARPER HH AA1 R P ER0 +HARPER'S HH AA1 R P ER0 Z +HARPERCOLLINS HH AA1 R P ER0 K AO1 L IH0 N Z +HARPERS HH AA1 R P ER0 Z +HARPHAM HH AA1 R F AH0 M +HARPIN HH AA0 R P AE1 N +HARPING HH AA1 R P IH0 NG +HARPIST HH AA1 R P IH0 S T +HARPISTS HH AA1 R P IH0 S T S +HARPLEY HH AA1 R P L IY0 +HARPO HH AA1 R P OW0 +HARPOLD HH AA1 R P OW2 L D +HARPOLE HH AA1 R P OW2 L +HARPOON HH AA0 R P UW1 N +HARPOONS HH AA0 R P UW1 N Z +HARPOOTLIAN HH AA0 R P UW1 T L IY0 AH0 N +HARPS HH AA1 R P S +HARPSICHORD HH AA1 R P S AH0 K AO2 R D +HARPST HH AA1 R P S T +HARPSTER HH AA1 R P S T ER0 +HARQUEBUS HH AA1 R K W AH0 B AH0 S +HARR HH AE1 R +HARRA HH AA1 R AH0 +HARRAH HH AE1 R AH0 +HARRAH'S HH EH1 R AH0 Z +HARRAL HH AE1 R AH0 L +HARRALSON HH AE1 R AH0 L S AH0 N +HARRE HH AE1 R +HARREL HH AE1 R AH0 L +HARRELD HH AE1 R IH0 L D +HARRELL HH EH1 R AH0 L +HARRELL'S HH AE1 R AH0 L Z +HARRELSON HH EH1 R IH0 L S AH0 N +HARREN HH AE1 R AH0 N +HARRER HH AA1 R ER0 +HARRIED HH EH1 R IY0 D +HARRIER HH EH1 R IY0 ER0 +HARRIES HH EH1 R IY0 Z +HARRIET HH EH1 R IY0 AH0 T +HARRIETTE HH AE1 R IY0 EH0 T +HARRIGAN HH EH1 R IH0 G AH0 N +HARRIGER HH AE1 R IH0 G ER0 +HARRILL HH AE1 R AH0 L +HARRIMAN HH EH1 R IH0 M AH0 N +HARRING HH AE1 R IH0 NG +HARRINGTON HH EH1 R IH0 NG T AH0 N +HARRIOTT HH AE1 R IY0 AH0 T +HARRIS HH EH1 R IH0 S +HARRIS' HH EH1 R IH0 S +HARRIS'S HH EH1 R IH0 S IH0 Z +HARRISBURG HH AE1 R IH0 S B ER0 G +HARRISBURG(2) HH EH1 R IH0 S B ER0 G +HARRISBURG'S HH AE1 R IH0 S B ER0 G Z +HARRISBURG'S(2) HH EH1 R IH0 S B ER0 G Z +HARRISBURGH HH AE1 R IH0 S B ER0 G +HARRISBURGH(2) HH EH1 R IH0 S B ER0 G +HARRISBURGH'S HH AE1 R IH0 S B ER0 G Z +HARRISBURGH'S(2) HH EH1 R IH0 S B ER0 G Z +HARRISES HH AE1 R IH0 S IH0 Z +HARRISON HH EH1 R IH0 S AH0 N +HARRISON'S HH EH1 R IH0 S AH0 N Z +HARRISS HH AE1 R IH0 S +HARRITY HH AE1 R IH0 T IY0 +HARROD HH EH1 R AH0 D +HARROD'S HH EH1 R AH0 D Z +HARRODS HH EH1 R AH0 D Z +HARROLD HH EH1 R AH0 L D +HARRON HH AE1 R AH0 N +HARROP HH EH1 R AH0 P +HARROUN HH ER0 UW1 N +HARROW HH AE1 R OW0 +HARROWER HH AE1 R OW0 W ER0 +HARROWING HH EH1 R OW0 IH0 NG +HARRY HH EH1 R IY0 +HARRY'S HH EH1 R IY0 Z +HARRYMAN HH AE1 R IY0 M AH0 N +HARSCH HH AA1 R SH +HARSCO HH AA1 R S K OW0 +HARSH HH AA1 R SH +HARSHA HH AA1 R SH AH0 +HARSHAM HH AA1 R SH AH0 M +HARSHAW HH AA1 R SH AO2 +HARSHBARGER HH AA1 R SH B AA2 R G ER0 +HARSHBERGER HH AA1 R SH B ER0 G ER0 +HARSHER HH AA1 R SH ER0 +HARSHEST HH AA1 R SH AH0 S T +HARSHFIELD HH AA1 R SH F IY2 L D +HARSHLY HH AA1 R SH L IY0 +HARSHMAN HH AA1 R SH M AH0 N +HARSHNESS HH AA1 R SH N AH0 S +HARSTAD HH AA1 R S T AH0 D +HARSTON HH AA1 R S T AH0 N +HART HH AA1 R T +HART'S HH AA1 R T S +HARTE HH AA1 R T +HARTEL HH AA1 R T AH0 L +HARTELL HH AA1 R T AH0 L +HARTEN HH AA1 R T AH0 N +HARTENSTEIN HH AA1 R T AH0 N S T AY2 N +HARTENSTEIN(2) HH AA1 R T AH0 N S T IY2 N +HARTER HH AA1 R T ER0 +HARTFIEL HH AA1 R T F IY2 L +HARTFIELD HH AA1 R T F IY2 L D +HARTFORD HH AA1 R T F ER0 D +HARTFORD'S HH AA1 R T F ER0 D Z +HARTGRAVES HH AA1 R T G R EY2 V Z +HARTGROVE HH AA1 R T G R OW2 V +HARTH HH AA1 R TH +HARTIG HH AA1 R T IH0 G +HARTIGAN HH AA1 R T IH0 G AH0 N +HARTIN HH AA1 R T IH0 N +HARTING HH AA1 R T IH0 NG +HARTINGER HH AA1 R T IH0 NG ER0 +HARTIS HH AA1 R T IH0 S +HARTJE HH AA1 R T JH EY0 +HARTKE HH AA1 R T K IY0 +HARTKOPF HH AA1 R T K AO0 F +HARTL HH AA1 R T AH0 L +HARTLAGE HH AA1 R T L IH0 JH +HARTLAND HH AA1 R T L AH0 N D +HARTLAUB HH AA1 R T L AW2 B +HARTLE HH AA1 R T AH0 L +HARTLESS HH AA1 R T L AH0 S +HARTLEY HH AA1 R T L IY0 +HARTLIEB HH AA1 R T L IY2 B +HARTLINE HH AA1 R T L AY2 N +HARTLING HH AA1 R T L IH0 NG +HARTMAN HH AA1 R T M AH0 N +HARTMANN HH AA1 R T M AH0 N +HARTMARX HH AA1 R T M AA2 R K S +HARTNELL HH AA1 R T N AH0 L +HARTNER HH AA1 R T N ER0 +HARTNESS HH AA1 R T N AH0 S +HARTNETT HH AA1 R T N IH0 T +HARTNEY HH AA1 R T N IY0 +HARTOG HH AA1 R T AH0 G +HARTON HH AA1 R T AH0 N +HARTONG HH AA1 R T AO0 NG +HARTRANFT HH AA1 R T R AH2 N F T +HARTS HH AA1 R T S +HARTSELL HH AA1 R T S AH0 L +HARTSFIELD HH AA1 R T S F IY2 L D +HARTSHORN HH AA1 R T S HH AO2 R N +HARTSHORNE HH AA1 R CH ER0 N +HARTSOCK HH AA1 R T S AH0 K +HARTSOE HH AA1 R T S OW0 +HARTSON HH AA1 R T S AH0 N +HARTSOOK HH AA1 R T S UH0 K +HARTSOUGH HH AA1 R T S AW0 +HARTSTEIN HH AA1 R T S T AY2 N +HARTSTEIN(2) HH AA1 R T S T IY2 N +HARTSVILLE HH AA1 R T S V IH0 L +HARTT HH AA1 R T +HARTTER HH AA1 R T ER0 +HARTUNG HH AA1 R T AH0 NG +HARTWELL HH AA1 R T W EH2 L +HARTWICK HH AA1 R T W IH2 K +HARTWIG HH AA1 R T W IH0 K +HARTWOOD HH AA1 R T W UH2 D +HARTY HH AA1 R T IY0 +HARTZ HH AA1 R T S +HARTZEL HH AA1 R T Z AH0 L +HARTZELL HH AA1 R T Z AH0 L +HARTZLER HH AA1 R T S L ER0 +HARTZOG HH AA1 R T Z AH0 G +HARUO HH AA0 R UW1 OW0 +HARV HH AA1 R V +HARVARD HH AA1 R V ER0 D +HARVARD'S HH AA1 R V ER0 D Z +HARVATH HH AA1 R V AH0 TH +HARVE HH AA1 R V +HARVEL HH AA1 R V AH0 L +HARVELL HH AA1 R V AH0 L +HARVEST HH AA1 R V AH0 S T +HARVESTABLE HH AA1 R V AH0 S T AH0 B AH0 L +HARVESTED HH AA1 R V AH0 S T IH0 D +HARVESTER HH AA1 R V AH0 S T ER0 +HARVESTERS HH AA1 R V AH0 S T ER0 Z +HARVESTING HH AA1 R V AH0 S T IH0 NG +HARVESTS HH AA1 R V AH0 S T S +HARVEY HH AA1 R V IY0 +HARVEY'S HH AA1 R V IY0 Z +HARVIE HH AA1 R V IY0 +HARVILL HH AA1 R V IH0 L +HARVILLE HH AA1 R V IH2 L +HARVIN HH AA1 R V IH0 N +HARVISON HH AA1 R V IH0 S AH0 N +HARWARD HH AA1 R W ER0 D +HARWELL HH AA1 R W EH2 L +HARWICK HH AA1 R W IH0 K +HARWOOD HH AA1 R W UH2 D +HARYANA HH EH0 R Y AA1 N AH0 +HAS HH AE1 Z +HAS(2) HH AH0 Z +HAS-BEEN HH AE1 Z B IH2 N +HAS-BEENS HH AE1 Z B IH2 N Z +HASAN HH EY1 Z AH0 N +HASBRO HH AE1 Z B R OW0 +HASBRO'S HH AE1 Z B R OW2 Z +HASBROOK HH AE1 S B R UH0 K +HASBROUCK HH AE1 Z B R UH2 K +HASCALL HH AE1 S K AH0 L +HASCH HH AE1 SH +HASCHKE HH AE1 SH K +HASE HH EY1 Z +HASEGAWA HH AA2 S EY0 G AA1 W AH0 +HASEK HH AA1 S EH0 K +HASELDEN HH AE1 S IH0 L D AH0 N +HASELEY HH AE1 S IH0 L IY0 +HASELHORST HH AE1 S IH0 L HH AO0 R S T +HASELTINE HH AE1 S IH0 L T IY0 N +HASELTON HH AH0 S EH1 L T AH0 N +HASEMAN HH EY1 S M AH0 N +HASENAUER HH AE1 S IH0 N AW0 ER0 +HASENFUS HH EY1 Z AH0 N F AH2 S +HASER HH EH1 Z ER0 +HASH HH AE1 SH +HASHAGEN HH AE1 SH AH0 G AH0 N +HASHED HH AE1 SH T +HASHEM HH AE1 SH IH0 M +HASHEMI HH AH0 SH EY1 M IY0 +HASHEMITE HH AE1 SH AH0 M AY2 T +HASHER HH AE1 SH ER0 +HASHER'S HH AE1 SH ER0 Z +HASHERS HH AE1 SH ER0 Z +HASHES HH AE1 SH AH0 Z +HASHI HH AE1 SH IY2 +HASHIM HH AE1 SH IH0 M +HASHIMOTO HH AA0 SH IY0 M OW1 T OW0 +HASHING HH AE1 SH IH0 NG +HASHISH HH AE1 SH IH0 SH +HASHISH(2) HH AH0 SH IY1 SH +HASHMAN HH AE1 SH M AH0 N +HASHMARK HH AE1 SH M AA2 R K +HASHMI HH AE1 SH M IY0 +HASHMI(2) HH AA1 SH M IY0 +HASHTAG HH AE1 SH T AE2 G +HASID HH AH0 S IH1 D +HASIDIC HH AH0 S IH1 D IH0 K +HASIDIC(2) HH AH0 S IY1 D IH0 K +HASIDIM HH AH0 S IH1 D IH0 M +HASIDIM(2) HH AH0 S IY1 D IH0 M +HASIDS HH AH0 S IH1 D Z +HASKE HH EY1 S K +HASKELL HH AE1 S K AH0 L +HASKETT HH AE1 S K IH0 T +HASKEW HH AE1 S K Y UW0 +HASKIN HH AE1 S K IH0 N +HASKINS HH AE1 S K IH0 N Z +HASLAM HH AE1 S L AH0 M +HASLER HH AE1 S AH0 L ER0 +HASLER(2) HH AE1 S L ER0 +HASLETT HH AE1 S L IH0 T +HASLEY HH AE1 Z L IY0 +HASMAN HH AE1 S M AH0 N +HASN'T HH AE1 Z AH0 N T +HASO HH AA1 S OW2 +HASO'S HH AA1 S OW2 Z +HASPEL HH AE1 S P AH0 L +HASS HH AE1 S +HASSAN HH AH0 S AA1 N +HASSE HH AA1 S +HASSEBROCK HH AE1 S IH0 B R AA1 K +HASSEL HH AE1 S AH0 L +HASSELBACH HH AE1 S IH0 L B AA0 K +HASSELBRING HH AE1 S IH0 L B R IH0 NG +HASSELL HH AE1 S AH0 L +HASSELMAN HH AE1 S AH0 L M AH0 N +HASSEN HH AE1 S AH0 N +HASSENBERG HH AE1 S AH0 N B ER0 G +HASSENFELD HH AE1 S AH0 N F EH2 L D +HASSETT HH AE1 S IH0 T +HASSEY HH AE1 S IY0 +HASSIG HH AE1 S IH0 G +HASSING HH AE1 S IH0 NG +HASSINGER HH AE1 S IH0 N JH ER0 +HASSLE HH AE1 S AH0 L +HASSLED HH AE1 S AH0 L D +HASSLER HH AE1 S L ER0 +HASSLES HH AE1 S AH0 L Z +HASSLING HH AE1 S AH0 L IH0 NG +HASSLING(2) HH AE1 S L IH0 NG +HASSMAN HH AE1 S M AH0 N +HASSON HH AE1 S AH0 N +HAST HH AE1 S T +HASTA HH AE1 S T AH0 +HASTA(2) AA1 S T AH0 +HASTE HH EY1 S T +HASTEN HH EY1 S AH0 N +HASTENED HH EY1 S AH0 N D +HASTENING HH EY1 S AH0 N IH0 NG +HASTENING(2) HH EY1 S N IH0 NG +HASTENS HH EY1 S AH0 N Z +HASTERT HH AE1 S T ER0 T +HASTEY HH EY1 S T IY0 +HASTIE HH EY1 S T IY0 +HASTILY HH EY1 S T AH0 L IY0 +HASTING HH EY1 S T IH0 NG +HASTINGS HH EY1 S T IH0 NG Z +HASTON HH AE1 S T AH0 N +HASTY HH EY1 S T IY0 +HASWELL HH AE1 S W EH0 L +HASZ HH AA1 SH +HAT HH AE1 T +HAT'S HH AE1 T S +HATA HH AA1 T AH0 +HATALA HH AE1 T AH0 L AH0 +HATAWAY HH AE1 T AH0 W EY2 +HATCH HH AE1 CH +HATCH'S HH AE1 CH IH0 Z +HATCHBACK HH AE1 CH B AE2 K +HATCHED HH AE1 CH T +HATCHEL HH AE1 CH AH0 L +HATCHELL HH AE1 CH AH0 L +HATCHER HH AE1 CH ER0 +HATCHERIES HH AE1 CH ER0 IY0 Z +HATCHERY HH AE1 CH ER0 IY0 +HATCHES HH AE1 CH IH0 Z +HATCHET HH AE1 CH AH0 T +HATCHETS HH AE1 CH AH0 T S +HATCHETT HH AE1 CH IH0 T +HATCHING HH AE1 CH IH0 NG +HATE HH EY1 T +HATED HH EY1 T AH0 D +HATED(2) HH EY1 T IH0 D +HATEFUL HH EY1 T F AH0 L +HATEM HH AE1 T IH0 M +HATER HH EY1 T ER0 +HATERS HH EY1 T ER0 Z +HATES HH EY1 T S +HATFIELD HH AE1 T F IY2 L D +HATFIELD'S HH AE1 T F IY2 L D Z +HATH HH AE1 TH +HATHAWAY HH AE1 TH AH0 W EY2 +HATHAWAY'S HH AE1 TH AH0 W EY2 Z +HATHCOAT HH AE1 TH K OW2 T +HATHCOCK HH AE1 TH K AH0 K +HATHEWAY HH EY1 DH W EY0 +HATHORN HH AA1 TH AO0 R N +HATHORNE HH AE1 TH ER0 N +HATING HH EY1 T IH0 NG +HATLER HH EY1 T AH0 L ER0 +HATLER(2) HH EY1 T L ER0 +HATLESTAD HH AE1 T AH0 L S T AH0 D +HATLEY HH AE1 T L IY0 +HATMAKER HH AE1 T M EY2 K ER0 +HATON HH AE1 T AO0 N +HATON(2) AE2 T AO1 N +HATRED HH EY1 T R AH0 D +HATREDS HH EY1 T R AH0 D Z +HATRICK HH AE1 T R IH0 K +HATS HH AE1 T S +HATT HH AE1 T +HATTABAUGH HH AE1 T AH0 B AO0 +HATTAN HH AE1 T AH0 N +HATTAWAY HH AE1 T AH0 W EY0 +HATTEN HH AE1 T AH0 N +HATTENDORF HH AE1 T IH0 N D AO0 R F +HATTER HH AE1 T ER0 +HATTERAS HH AE1 T ER0 AH0 S +HATTERSLEY HH AE1 T ER0 Z L IY0 +HATTERY HH AE1 T ER0 IY0 +HATTIE HH AE1 T IY0 +HATTON HH AE1 T AH0 N +HATTORI HH AA0 T AO1 R IY0 +HATTUSAS HH AH0 T UW1 S AH0 S +HATTY HH AE1 T IY0 +HATZ HH AE1 T S +HAU HH AW1 +HAUB HH AO1 B +HAUBER HH AW1 B ER0 +HAUBERT HH AW1 B ER0 T +HAUBNER HH AW1 B N ER0 +HAUBRICH HH AW1 B R IH0 K +HAUCH HH AO1 CH +HAUCK HH AO1 K +HAUENSTEIN HH AW1 AH0 N S T AY0 N +HAUENSTEIN(2) HH AW1 AH0 N S T IY0 N +HAUER HH AW1 ER0 +HAUETER HH AW1 T ER0 +HAUF HH AO1 F +HAUFER HH AO1 F ER0 +HAUFF HH AO1 F +HAUG HH AO1 G +HAUGAN HH AO1 G AH0 N +HAUGE HH AO1 JH +HAUGEN HH AW1 G AH0 N +HAUGER HH AW1 G ER0 +HAUGH HH AO1 +HAUGHEY HH AO1 K IY0 +HAUGHN HH AO1 N +HAUGHT HH AO1 T +HAUGHTILY HH AO1 T IH0 L IY0 +HAUGHTON HH AO1 T AH0 N +HAUGHTY HH AO1 T IY0 +HAUGLAND HH AO1 G L AH0 N D +HAUK HH AO1 K +HAUKE HH AO1 K +HAUL HH AO1 L +HAULAGE HH AO1 L AH0 JH +HAULED HH AO1 L D +HAULER HH AO1 L ER0 +HAULERS HH AO1 L ER0 Z +HAULING HH AO1 L IH0 NG +HAULS HH AO1 L Z +HAULSEY HH AO1 L S IY0 +HAUN HH AO1 N +HAUNT HH AO1 N T +HAUNTED HH AO1 N T IH0 D +HAUNTING HH AO1 N T IH0 NG +HAUNTINGLY HH AO1 N T IH0 NG L IY0 +HAUNTS HH AO1 N T S +HAUPERT HH AW1 P ER0 T +HAUPPAUGE HH AW1 P AO0 JH +HAUPT HH AO1 P T +HAUPTFUHRER HH AW1 P T F Y UH2 R ER0 +HAUPTMAN HH AW1 P T M AH0 N +HAUPTMANN HH AW1 P T M AH0 N +HAURY HH AO1 R IY0 +HAUS HH AW1 S +HAUSA HH AW1 S AH0 +HAUSAUER HH AW1 S AW0 ER0 +HAUSCH HH AW1 SH +HAUSCHILD HH AW1 S CH AY2 L D +HAUSCHILDT HH AW1 SH IH0 L T +HAUSE HH AW1 S +HAUSEN HH AW1 Z AH0 N +HAUSER HH AW1 Z ER0 +HAUSERMAN HH AW1 Z ER0 M AH0 N +HAUSFELD HH AW1 S F EH2 L D +HAUSKY HH AO1 S K IY0 +HAUSLER HH AW1 S AH0 L ER0 +HAUSLER(2) HH AW1 S L ER0 +HAUSMAN HH AW1 S M AH0 N +HAUSMANN HH AW1 S M AH0 N +HAUSNER HH AW1 S N ER0 +HAUSS HH AW1 S +HAUSSER HH AW1 S ER0 +HAUSSLER HH AW1 S AH0 L ER0 +HAUSSLER(2) HH AW1 S L ER0 +HAUSSMANN HH AW1 S M AH0 N +HAUSUMMI HH AW0 S UW1 M IY0 +HAUSWIRTH HH AW1 S W ER0 TH +HAUT HH AO1 T +HAUTALA HH AO1 T AH0 L AH0 +HAUTE HH OW1 T +HAUTE(2) HH AH1 T +HAUTER HH AW1 T ER0 +HAUTH HH AO1 TH +HAUVER HH AW1 V ER0 +HAVANA HH AH0 V AE1 N AH0 +HAVANA'S HH AH0 V AE1 N AH0 Z +HAVARD HH AE1 V ER0 D +HAVAS HH AA1 V AA0 Z +HAVE HH AE1 V +HAVEL HH AE1 V AH0 L +HAVELKA HH AH0 V EH1 L K AH0 +HAVELOCK HH AE1 V L AA2 K +HAVEMAN HH EY1 V M AH0 N +HAVEMANN HH AE1 V AH0 M AH0 N +HAVEN HH EY1 V AH0 N +HAVEN'T HH AE1 V AH0 N T +HAVEN'T(2) HH AE1 V AH0 N +HAVENER HH AE1 V IY0 N ER0 +HAVENS HH EY1 V AH0 N Z +HAVER HH EH1 V ER0 +HAVERFIELD HH AE1 V ER0 F IY2 L D +HAVERFORD HH AE1 V ER0 F ER0 D +HAVERKAMP HH AE1 V ER0 K AE2 M P +HAVERLAND HH AE1 V ER0 L AH0 N D +HAVERLY HH EY1 V ER0 L IY0 +HAVERSTICK HH EY1 V ER0 S T IH0 K +HAVERSTOCK HH EY1 V ER0 S T AA0 K +HAVERTY HH AE1 V ER0 T IY0 +HAVES HH AE1 V Z +HAVEY HH EY1 V IY0 +HAVIER HH AE1 V Y ER0 +HAVILAND HH EY1 V IY0 L AH0 N D +HAVILL HH AA0 V IY1 L +HAVILLAND HH AE1 V AH0 L AH0 N D +HAVIN' HH AE1 V IH0 N +HAVING HH AE1 V IH0 NG +HAVINGTON HH AE1 V IH0 NG T AH0 N +HAVINGTON'S HH AE1 V IH0 NG T AH0 N Z +HAVINS HH AE1 V IH0 N Z +HAVIS HH AE1 V IH0 S +HAVLICEK HH AA1 V L IH0 CH EH0 K +HAVLIK HH AE1 V L IH0 K +HAVLIN HH AE1 V L IH0 N +HAVNER HH AE1 V N ER0 +HAVOC HH AE1 V AH0 K +HAVRAN HH AE1 V R AH0 N +HAVRANEK HH AH0 V R AE1 N EH0 K +HAVRILLA HH AE2 V R IH1 L AH0 +HAVRON HH AE1 V R AH0 N +HAW HH AO1 +HAWAII HH AH0 W AY1 IY2 +HAWAII'S HH AH0 W AY1 IY2 Z +HAWAIIAN HH AH0 W AY1 AH0 N +HAWAIIANS HH AH0 W AY1 AH0 N Z +HAWASS HH AE1 W AA0 S +HAWBAKER HH AO1 B EY2 K ER0 +HAWE HH AO1 +HAWES HH AO1 Z +HAWING HH AO1 IH0 NG +HAWK HH AO1 K +HAWKBILL HH AO1 K B IH2 L +HAWKBILL'S HH AO1 K B IH2 L Z +HAWKE HH AO1 K +HAWKE'S HH AO1 K S +HAWKED HH AO1 K T +HAWKEN HH AO1 K AH0 N +HAWKER HH AO1 K ER0 +HAWKERS HH AO1 K ER0 Z +HAWKES HH AO1 K S +HAWKEY HH AO1 K IY2 +HAWKEYE HH AO1 K AY2 +HAWKEYE'S HH AO1 K AY2 Z +HAWKINESS HH AO1 K N AH0 S +HAWKING HH AO1 K IH0 NG +HAWKINS HH AO1 K IH0 N Z +HAWKINS' HH AO1 K IH0 N Z +HAWKINSON HH AO1 K IH0 N S AH0 N +HAWKISH HH AO1 K IH0 SH +HAWKS HH AO1 K S +HAWKSLEY HH AO1 K S L IY0 +HAWLEY HH AO1 L IY0 +HAWLEY'S HH AO1 L IY0 Z +HAWN HH AO1 N +HAWORTH HH AE1 W ER0 TH +HAWS HH AO1 Z +HAWTHORN HH AO1 TH AO2 R N +HAWTHORNE HH AO1 TH AO0 R N +HAWTHORNE'S HH AO1 TH AO0 R N Z +HAWTHORNS HH AO1 TH AO2 R N Z +HAWVER HH AO1 V ER0 +HAXTON HH AE1 K S T AH0 N +HAY HH EY1 +HAYASHI HH AA0 Y AA1 SH IY0 +HAYASHIDA HH AA0 Y AA0 SH IY1 D AH0 +HAYCOCK HH EY1 K AA2 K +HAYCRAFT HH EY1 K R AE2 F T +HAYDEL HH EY1 D AH0 L +HAYDEN HH EY1 D AH0 N +HAYDN HH AY1 D AH0 N +HAYDN'S HH AY1 D AH0 N Z +HAYDOCK HH EY1 D AA2 K +HAYDON HH EY1 D AH0 N +HAYDU HH EY1 D UW0 +HAYDUK HH EY1 D AH0 K +HAYE HH EY1 +HAYEK HH EY1 IH0 K +HAYEN HH EY1 AH0 N +HAYENGA HH EY0 EY1 NG G AH0 +HAYER HH EY1 ER0 +HAYES HH EY1 Z +HAYFIELD HH EY1 F IY2 L D +HAYFIELDS HH EY1 F IY2 L D Z +HAYFORD HH EY1 F ER0 D +HAYGOOD HH EY1 G UH2 D +HAYHURST HH EY1 HH ER0 S T +HAYING HH EY1 IH0 NG +HAYLES HH EY1 L Z +HAYLEY HH EY1 L IY0 +HAYLOFT HH EY1 L AO2 F T +HAYLOFTS HH EY1 L AO2 F T S +HAYMAKER HH EY1 M EY2 K ER0 +HAYMAKERS HH EY1 M EY2 K ER0 Z +HAYMAN HH EY1 M AH0 N +HAYMARKET HH EY1 M AA2 R K IH0 T +HAYMARKETS HH EY1 M AA2 R K IH0 T S +HAYMES HH EY1 M Z +HAYMON HH EY1 M AH0 N +HAYMOND HH EY1 M AH0 N D +HAYMORE HH EY1 M AO0 R +HAYN HH EY1 N +HAYNE HH EY1 N +HAYNER HH EY1 N ER0 +HAYNES HH EY1 N Z +HAYNESWORTH HH EY1 N Z W ER0 TH +HAYNIE HH EY1 N IY0 +HAYNSWORTH HH EY1 N Z W ER0 TH +HAYS HH EY1 Z +HAYSE HH EY1 Z +HAYSLETT HH EY1 S L IH0 T +HAYSLIP HH EY1 S L IH0 P +HAYSTACK HH EY1 S T AE2 K +HAYSTACKS HH EY1 S T AE2 K S +HAYTER HH EY1 T ER0 +HAYTON HH EY1 T AH0 N +HAYWARD HH EY1 W ER0 D +HAYWARD'S HH EY1 W ER0 D Z +HAYWIRE HH EY1 W AY2 R +HAYWOOD HH EY1 W UH2 D +HAYWORTH HH EY1 W ER2 TH +HAZAN HH EY1 Z AH0 N +HAZARD HH AE1 Z ER0 D +HAZARDOUS HH AE1 Z ER0 D AH0 S +HAZARDS HH AE1 Z ER0 D Z +HAZE HH EY1 Z +HAZEL HH EY1 Z AH0 L +HAZELBAKER HH EY1 Z AH0 L B EY2 K ER0 +HAZELETT HH AE1 Z IH0 L EH0 T +HAZELETT(2) HH AE1 Z L EH0 T +HAZELIP HH AE1 Z IH0 L IH0 P +HAZELL HH AE1 Z AH0 L +HAZELNUT HH EY1 Z AH0 L N AH2 T +HAZELNUTS HH EY1 Z AH0 L N AH2 T S +HAZELRIGG HH AH0 Z EH1 L R IH0 G +HAZELRIGG(2) HH EY1 Z EH0 L R IH0 G +HAZELTINE HH EY1 Z AH0 L T AY2 N +HAZELTON HH EY1 Z AH0 L T AH0 N +HAZELWOOD HH EY1 Z AH0 L W UH2 D +HAZELWOOD'S HH EY1 Z AH0 L W UH2 D Z +HAZEN HH EY1 Z AH0 N +HAZIER HH EY1 Z IY0 ER0 +HAZING HH EY1 Z IH0 NG +HAZLE HH EY1 Z AH0 L +HAZLETON HH EY1 Z AH0 L T AH0 N +HAZLETT HH AE1 Z L IH0 T +HAZLEWOOD HH EY1 Z AH0 L W UH2 D +HAZY HH EY1 Z IY0 +HAZZARD HH AE1 Z ER0 D +HBO EY1 CH B IY0 OW1 +HBOX EY1 CH B AO1 K S +HCES EY1 CH S IY1 IY1 EH1 S +HE HH IY1 +HE'D HH IY1 D +HE'LL HH IY1 L +HE'S HH IY1 Z +HEABERLIN HH IY1 B ER0 L IH0 N +HEACOCK HH IY1 K AH0 K +HEACOX HH IY1 K AA0 K S +HEAD HH EH1 D +HEAD'S HH EH1 D Z +HEADACHE HH EH1 D EY2 K +HEADACHES HH EH1 D EY2 K S +HEADBAND HH EH1 D B AE2 N D +HEADBANDS HH EH1 D B AE2 N D Z +HEADBOARD HH EH1 D B AO2 R D +HEADBOARDS HH EH1 D B AO2 R D Z +HEADCHEESE HH EH1 D CH IY2 Z +HEADCOUNT HH EH1 D K AW2 N T +HEADCOUNTS HH EH1 D K AW2 N T S +HEADDRESS HH EH1 D R EH2 S +HEADDRESSES HH EH1 D D R EH2 S AH0 Z +HEADED HH EH1 D AH0 D +HEADED(2) HH EH1 D IH0 D +HEADEN HH EH1 D AH0 N +HEADER HH EH1 D ER0 +HEADERS HH EH1 D ER0 Z +HEADFIRST HH EH1 D F ER1 S T +HEADGEAR HH EH1 D G IH2 R +HEADHUNTER HH EH1 D HH AH2 N T ER0 +HEADHUNTERS HH EH1 D HH AH2 N T ER0 Z +HEADING HH EH1 D IH0 NG +HEADINGS HH EH1 D IH0 NG Z +HEADINGTON HH EH1 D IH0 NG T AH0 N +HEADLEE HH EH1 D L IY2 +HEADLESS HH EH1 D L AH0 S +HEADLEY HH EH1 D L IY0 +HEADLIGHT HH EH1 D L AY2 T +HEADLIGHTS HH EH1 D L AY2 T S +HEADLINE HH EH1 D L AY2 N +HEADLINED HH EH1 D L AY2 N D +HEADLINER HH EH1 D L AY2 N ER0 +HEADLINERS HH EH1 D L AY2 N ER0 Z +HEADLINES HH EH1 D L AY2 N Z +HEADLINING HH EH1 D L AY2 N IH0 NG +HEADLONG HH EH1 D L AO2 NG +HEADLUND HH EH1 D L AH0 N D +HEADMAN HH EH1 D M AH0 N +HEADMASTER HH EH1 D M AE1 S T ER0 +HEADMASTERS HH EH1 D M AE1 S T ER0 Z +HEADMISTRESS HH EH1 D M IH2 S T R AH0 S +HEADMISTRESSES HH EH1 D M IH2 S T R AH0 S AH0 Z +HEADPHONE HH EH1 D F OW2 N +HEADPHONES HH EH1 D F OW2 N Z +HEADQUARTER HH EH1 D K W AO2 R T ER0 +HEADQUARTER(2) HH EH1 D K AO2 R T ER0 +HEADQUARTERED HH EH1 D K AO2 R T ER0 D +HEADQUARTERED(2) HH EH1 D K W AO2 R T ER0 D +HEADQUARTERS HH EH1 D K W AO2 R T ER0 Z +HEADQUARTERS(2) HH EH1 D K AO2 R T ER0 Z +HEADREST HH EH1 D R EH2 S T +HEADRESTS HH EH1 D R EH2 S T S +HEADRICK HH EH1 D R IH0 K +HEADROOM HH EH1 D R UW2 M +HEADS HH EH1 D Z +HEADS-UP HH EH1 D Z AH2 P +HEADSET HH EH1 D S EH2 T +HEADSETS HH EH1 D S EH2 T S +HEADSHIP HH EH1 D SH IH2 P +HEADSHOT HH EH1 D SH AA2 T +HEADSMAN HH EH1 D Z M AH0 N +HEADSTART HH EH1 D S T AA2 R T +HEADSTARTS HH EH1 D S T AA2 R T S +HEADSTONE HH EH1 D S T OW2 N +HEADSTONES HH EH1 D S T OW2 N Z +HEADSTRONG HH EH1 D S T R AO2 NG +HEADWATER HH EH1 D W AO2 T ER0 +HEADWATERS HH EH1 D W AO2 T ER0 Z +HEADWAY HH EH1 D W EY2 +HEADWIND HH EH1 D W IH2 N D +HEADWINDS HH EH1 D W IH2 N D Z +HEADY HH EH1 D IY0 +HEAFNER HH IY1 F N ER0 +HEAGLE HH IY1 G AH0 L +HEAGNEY HH IY1 G N IY0 +HEAGY HH IY1 JH IY0 +HEAL HH IY1 L +HEALD HH IY1 L D +HEALED HH IY1 L D +HEALER HH IY1 L ER0 +HEALERS HH IY1 L ER0 Z +HEALEY HH IY1 L IY0 +HEALING HH IY1 L IH0 NG +HEALS HH IY1 L Z +HEALTH HH EH1 L TH +HEALTH'S HH EH1 L TH S +HEALTHAMERICA HH IY2 L TH AH0 M EH1 R IH0 K AH0 +HEALTHCARE HH EH1 L TH K EH2 R +HEALTHCARE'S HH EH1 L TH K EH2 R Z +HEALTHCORP HH EH1 L TH K AO2 R P +HEALTHCORP(2) HH EH1 L TH K AO2 R +HEALTHDYNE HH EH1 L TH D AY2 N +HEALTHFUL HH EH1 L TH F AH0 L +HEALTHIER HH EH1 L TH IY0 ER0 +HEALTHIEST HH EH1 L TH IY0 IH0 S T +HEALTHINESS HH EH1 L TH IY0 N AH0 S +HEALTHSOURCE HH EH1 L TH S AO2 R S +HEALTHSOUTH HH EH1 L TH S AW2 TH +HEALTHTRUST HH EH1 L TH T R AH2 S T +HEALTHTRUST'S HH EH1 L TH T R AH2 S T S +HEALTHVEST HH EH1 L TH V EH2 S T +HEALTHWEEK HH EH1 L TH W IY2 K +HEALTHWISE HH EH1 L TH W AY2 Z +HEALTHWORK HH EH1 L TH W ER0 K +HEALTHWORKS HH EH1 L TH W ER0 K S +HEALTHY HH EH1 L TH IY0 +HEALY HH IY1 L IY0 +HEALY'S HH IY1 L IY0 Z +HEANEY HH IY1 N IY0 +HEAP HH IY1 P +HEAPE HH IY1 P +HEAPED HH IY1 P T +HEAPHY HH IY1 F IY0 +HEAPING HH IY1 P IH0 NG +HEAPS HH IY1 P S +HEAR HH IY1 R +HEARD HH ER1 D +HEARER HH IY1 R ER0 +HEARERS HH IY1 R ER0 Z +HEARIN HH IH1 R IH0 N +HEARING HH IY1 R IH0 NG +HEARING'S HH IY1 R IH0 NG Z +HEARINGS HH IY1 R IH0 NG Z +HEARKENS HH AA1 R K AH0 N Z +HEARL HH ER1 L +HEARN HH ER1 N +HEARNE HH ER1 N +HEARNS HH ER1 N Z +HEARON HH IH1 R AH0 N +HEARRON HH AO1 R AH0 N +HEARS HH IY1 R Z +HEARSAY HH IY1 R S EY2 +HEARSE HH ER1 S +HEARST HH ER1 S T +HEARST'S HH ER1 S T S +HEART HH AA1 R T +HEART'S HH AA1 R T S +HEARTACHE HH AA1 R T EY2 K +HEARTBEAT HH AA1 R T B IY2 T +HEARTBEATS HH AA1 R T B IY2 T S +HEARTBREAK HH AA1 R T B R EY2 K +HEARTBREAKING HH AA1 R T B R EY2 K IH0 NG +HEARTBREAKS HH AA1 R T B R EY2 K S +HEARTBROKEN HH AA1 R T B R OW2 K AH0 N +HEARTBURN HH AA1 R T B ER2 N +HEARTED HH AA1 R T AH0 D +HEARTED(2) HH AA1 R T IH0 D +HEARTEDLY HH AA1 R T IH0 D L IY0 +HEARTEN HH AA1 R T AH0 N +HEARTENED HH AA1 R T AH0 N D +HEARTENING HH AA1 R T AH0 N IH0 NG +HEARTENING(2) HH AA1 R T N IH0 NG +HEARTFELT HH AA1 R T F EH2 L T +HEARTH HH AA1 R TH +HEARTHS HH AA1 R TH S +HEARTIER HH AA1 R T IY0 ER0 +HEARTIEST HH AA1 R T IY0 AH0 S T +HEARTILY HH AA1 R T AH0 L IY0 +HEARTLAND HH AA1 R T L AE2 N D +HEARTLESS HH AA1 R T L AH0 S +HEARTS HH AA1 R T S +HEARTSCAN HH AA1 R T S K AE2 N +HEARTTHROB HH AA1 R T TH R AA2 B +HEARTTHROBS HH AA1 R T TH R AA2 B Z +HEARTWARMING HH AA1 R T W AO2 R M IH0 NG +HEARTWISE HH AA1 R T W AY2 Z +HEARTWOOD HH AA1 R T W UH2 D +HEARTY HH AA1 R T IY0 +HEASLEY HH IY1 Z L IY0 +HEASLIP HH IY1 S L IH0 P +HEASTON HH IY1 S T AH0 N +HEAT HH IY1 T +HEAT'S HH IY1 T S +HEATED HH IY1 T AH0 D +HEATED(2) HH IY1 T IH0 D +HEATEDLY HH IY1 T IH0 D L IY0 +HEATER HH IY1 T ER0 +HEATERS HH IY1 T ER0 Z +HEATH HH IY1 TH +HEATH'S HH IY1 TH S +HEATHCLIFF HH EH1 TH K L IH0 F +HEATHCOCK HH EH1 TH K AH0 K +HEATHCOTE HH EH1 TH K AH0 T +HEATHEN HH IY1 DH AH0 N +HEATHER HH EH1 DH ER0 +HEATHER'S HH EH1 DH ER0 Z +HEATHERINGTON HH EH1 DH ER0 IH0 NG T AH0 N +HEATHERLY HH EH1 DH ER0 L IY0 +HEATHERS HH EH1 DH ER0 Z +HEATHMAN HH IY1 TH M AH0 N +HEATHROW HH IY1 TH R OW0 +HEATHROW'S HH IY1 TH R OW0 Z +HEATHWOOD HH IY1 TH W UH2 D +HEATING HH IY1 T IH0 NG +HEATLEY HH IY1 T L IY0 +HEATON HH IY1 T AH0 N +HEATS HH IY1 T S +HEATWOLE HH IY1 T W OW2 L +HEAVE HH IY1 V +HEAVED HH IY1 V D +HEAVEN HH EH1 V AH0 N +HEAVEN'S HH EH1 V AH0 N Z +HEAVENER HH EH1 V AH0 N ER0 +HEAVENLY HH EH1 V AH0 N L IY0 +HEAVENS HH EH1 V AH0 N Z +HEAVES HH IY1 V Z +HEAVEY HH IY1 V IY0 +HEAVIER HH EH1 V IY0 ER0 +HEAVIES HH EH1 V IY0 Z +HEAVIEST HH EH1 V IY0 AH0 S T +HEAVILY HH EH1 V AH0 L IY0 +HEAVIN HH EH1 V IH0 N +HEAVING HH IY1 V IH0 NG +HEAVNER HH IY1 V N ER0 +HEAVRIN HH IY1 V R IH0 N +HEAVY HH EH1 V IY0 +HEAVYHANDED HH EH1 V IY0 HH AE2 N D IH0 D +HEAVYSET HH EH1 V IY0 S EH2 T +HEAVYWEIGHT HH EH1 V IY0 W EY2 T +HEAVYWEIGHTS HH EH1 V IY0 W EY2 T S +HEBARD HH EH1 B ER0 D +HEBB HH EH1 B +HEBDA HH EH1 B D AH0 +HEBDING HH EH1 B D IH0 NG +HEBE HH IY1 B +HEBEI HH IY1 B IY0 +HEBEL HH EH1 B AH0 L +HEBELER HH EH1 B AH0 L ER0 +HEBENSTREIT HH EH1 B IH0 N S T R AY0 T +HEBER HH IY1 B ER0 +HEBERER HH EH1 B ER0 ER0 +HEBERLE HH EH1 B ER0 AH0 L +HEBERLEIN HH EH1 B ER0 L AY2 N +HEBERLING HH EH1 B ER0 L IH0 NG +HEBERT HH EH1 B ER0 T +HEBNER HH EH1 B N ER0 +HEBREW HH IY1 B R UW0 +HEBREWS HH IY1 B R UW0 Z +HEBRIDES HH EH1 B R IH0 D IY0 Z +HEBRON HH EH1 B R AH0 N +HEBRON(2) HH EH1 B R AO2 N +HECCO HH EH1 K OW0 +HECHINGER HH EH1 K IH0 N JH ER0 +HECHLER HH EH1 K L ER0 +HECHT HH EH1 K T +HECHT'S HH EH1 K T S +HECHTMAN HH EH1 K T M AH0 N +HECK HH EH1 K +HECK'S HH EH1 K S +HECKAMAN HH EH1 K AH0 M AH0 N +HECKARD HH EH1 K ER0 D +HECKART HH EH1 K ER0 T +HECKATHORN HH EH1 K AH0 TH ER0 N +HECKBERT HH EH1 K B ER0 T +HECKEL HH EH1 K AH0 L +HECKENDORN HH EH1 K EH0 N D AO0 R N +HECKER HH EH1 K ER0 +HECKERT HH EH1 K ER0 T +HECKLE HH EH1 K AH0 L +HECKLED HH EH1 K AH0 L D +HECKLER HH EH1 K L ER0 +HECKLERS HH EH1 K L ER0 Z +HECKLING HH EH1 K L IH0 NG +HECKMAN HH EH1 K M AH0 N +HECKMANN HH EH1 K M AH0 N +HECKUVA HH EH0 K Y UW1 V AH0 +HECKUVA(2) HH EH1 K AH0 V AH0 +HECLA HH EH1 K L AH0 +HECLA'S HH EH1 K L AH0 Z +HECOX HH EH1 K AA0 K S +HECTARE HH EH1 K T AA2 R +HECTARES HH EH1 K T AA2 R Z +HECTIC HH EH1 K T IH0 K +HECTOGRAPH HH EH1 K T AH0 G R AE2 F +HECTOR HH EH1 K T ER0 +HECTOR'S HH EH1 K T ER0 Z +HECTORING HH EH1 K T ER0 IH0 NG +HECUBA HH EH1 K Y AH0 B AH0 +HECUBA(2) HH EH1 K Y UW0 B AH0 +HEDA HH EY1 D AH0 +HEDBERG HH EH1 D B ER0 G +HEDDA HH EH1 D AH0 +HEDDEN HH EH1 D AH0 N +HEDDING HH EH1 D IH0 NG +HEDDY HH EH1 D IY0 +HEDEEN HH EH1 D IY0 N +HEDGE HH EH1 JH +HEDGECOCK HH EH1 JH K AA2 K +HEDGED HH EH1 JH D +HEDGEHOG HH EH1 JH HH AA2 G +HEDGEHOGS HH EH1 JH HH AA2 G Z +HEDGEPATH HH EH1 JH P AE2 TH +HEDGEPETH HH EH1 JH IH0 P EH0 TH +HEDGER HH EH1 JH ER0 +HEDGERS HH EH1 JH ER0 Z +HEDGES HH EH1 JH IH0 Z +HEDGING HH EH1 JH IH0 NG +HEDGLIN HH EH1 JH L IH0 N +HEDGPETH HH EH1 JH P IH0 TH +HEDI HH EH1 D IY0 +HEDIGER HH EH1 D IH0 G ER0 +HEDIN HH EH1 D IH0 N +HEDINGER HH EH1 D IH0 N G ER0 +HEDINGER(2) HH EH1 D IH0 N JH ER0 +HEDLEY HH EH1 D L IY0 +HEDLUND HH EH1 D L AH0 N D +HEDMAN HH EH1 D M AH0 N +HEDONIC HH AH0 D AA1 N IH0 K +HEDONISM HH IY1 D AH0 N IH2 Z AH0 M +HEDONISTIC HH IY2 D AH0 N IH1 S T IH0 K +HEDQUIST HH EH1 D K W IH2 S T +HEDRICH HH EH1 D R IH0 K +HEDRICK HH EH1 D R IH0 K +HEDSTROM HH EH1 D S T R AH0 M +HEDTKE HH EH1 D K IY0 +HEDWIG HH EH1 D W IH0 G +HEDWIGA HH EH1 D W IH0 G AH0 +HEDY HH IY1 D IY0 +HEE HH IY1 +HEEB HH IY1 B +HEEBNER HH IY1 B N ER0 +HEED HH IY1 D +HEEDED HH IY1 D AH0 D +HEEDED(2) HH IY1 D IH0 D +HEEDING HH IY1 D IH0 NG +HEEDS HH IY1 D Z +HEEFNER HH IY1 F N ER0 +HEEG HH IY1 G +HEEHAW HH IY1 HH AW2 +HEEKE HH IY1 K +HEEKIN HH IY1 K IH0 N +HEEL HH IY1 L +HEELAN HH IY1 L AH0 N +HEELED HH IY1 L D +HEELING HH IY1 L IH0 NG +HEELS HH IY1 L Z +HEEMSTRA HH IY1 M S T R AH0 +HEENAN HH IY1 N AH0 N +HEENEY HH IY1 N IY0 +HEER HH IY1 ER0 +HEEREN HH IH1 R AH0 N +HEERMANN HH IH1 R M AH0 N +HEES HH IY1 Z +HEESCH HH IY1 SH +HEESE HH IY1 Z +HEETER HH IY1 T ER0 +HEFEI HH AH0 F EY1 +HEFFEL HH EH1 F AH0 L +HEFFELFINGER HH EH1 F IH0 L F IH0 NG ER0 +HEFFERAN HH EH1 F ER0 AH0 N +HEFFERMAN HH EH1 F ER0 M AH0 N +HEFFERN HH EH1 F ER0 N +HEFFERNAN HH EH1 F ER0 N AH0 N +HEFFERON HH EH1 F ER0 AH0 N +HEFFINGTON HH EH1 F IH0 NG T AH0 N +HEFFLER HH EH1 F L ER0 +HEFFLEY HH EH1 F L IY0 +HEFFNER HH EH1 F N ER0 +HEFFRON HH EH1 F R AH0 N +HEFLER HH EH1 F L ER0 +HEFLEY HH EH1 F L IY0 +HEFLIN HH EH1 F L IH0 N +HEFNER HH EH1 F N ER0 +HEFNER'S HH EH1 F N ER0 Z +HEFT HH EH1 F T +HEFTER HH EH1 F T ER0 +HEFTI HH EH1 F T IY0 +HEFTIER HH EH1 F T IY0 ER0 +HEFTIEST HH EH1 F T IY0 AH0 S T +HEFTY HH EH1 F T IY0 +HEGADORN HH EH1 G AH0 D AO2 R N +HEGARTY HH EH1 G AA0 R T IY0 +HEGE HH IY1 JH +HEGEDUS HH EH1 G IH0 D IH0 S +HEGEL HH EH1 G AH0 L +HEGELIAN HH IY0 JH IY1 L IY0 AH0 N +HEGEMAN HH IY1 G M AH0 N +HEGEMONIC HH EH2 G AH0 M AA1 N IH0 K +HEGEMONY HH IY0 JH EH1 M AH0 N IY0 +HEGENNA HH EH0 G EH1 N AH0 +HEGER HH IY1 G ER0 +HEGG HH EH1 G +HEGGE HH EH1 G +HEGGEN HH EH1 G AH0 N +HEGGIE HH EH1 G IY0 +HEGLAND HH EH1 G L AH0 N D +HEGLER HH EH1 G L ER0 +HEGLUND HH EH1 G L AH0 N D +HEGNA HH EH1 G N AH0 +HEGNER HH EH1 G N ER0 +HEGSTROM HH EH1 G S T R AH0 M +HEGWOOD HH EH1 G W UH2 D +HEGYI HH EY1 G Y IY0 +HEH HH EH1 +HEHIR HH EH1 HH IH0 R +HEHL HH EH1 L +HEHMAN HH EH1 M AH0 N +HEHMEYER HH EH1 M AY2 R +HEHN HH EH1 N +HEHR HH EH1 R +HEIBEL HH AY1 B AH0 L +HEIBERG HH AY1 B ER0 G +HEIBERGER HH AY1 B ER0 G ER0 +HEICHEL HH AY1 K AH0 L +HEICHELBECH HH AY1 K IH0 L B IH0 K +HEICK HH AY1 K +HEICO HH AY1 K OW0 +HEICO'S HH AY1 K OW0 Z +HEID HH AY1 D +HEIDBREDER HH AY1 D B R IH0 D ER0 +HEIDBRINK HH AY1 D B R IH0 NG K +HEIDE HH AY1 D +HEIDECKER HH AY1 D IH0 K ER0 +HEIDEGGER HH AY1 D IH0 G ER0 +HEIDEL HH AY1 D AH0 L +HEIDELBERG HH AY1 D AH0 L B ER0 G +HEIDELBERG'S HH AY1 D AH0 L B ER0 G Z +HEIDELBERGER HH AY1 D AH0 L B ER0 G ER0 +HEIDEMAN HH AY1 D M AH0 N +HEIDEMANN HH AY1 D M AH0 N +HEIDEN HH AY1 D AH0 N +HEIDENREICH HH AY1 D IH0 N R AY0 K +HEIDER HH AY1 D ER0 +HEIDI HH AY1 D IY0 +HEIDI'S HH AY1 D IY0 S +HEIDINGER HH AY1 D IH0 NG ER0 +HEIDIWEAR HH AY1 D IY0 W EH0 R +HEIDLER HH AY1 D AH0 L ER0 +HEIDLER(2) HH AY1 D L ER0 +HEIDORN HH AY1 D ER0 N +HEIDRICH HH AY1 D R IH0 K +HEIDRICK HH AY1 D R IH0 K +HEIDSTRA HH AY1 D S T R AH0 +HEIDT HH AY1 D T +HEIER HH AY1 ER0 +HEIFER HH AY1 F ER0 +HEIFER(2) HH EH1 F ER0 +HEIFERS HH EH1 F ER0 Z +HEIFERS(2) HH AY1 F ER0 Z +HEIFETZ HH AY1 F IH0 T S +HEIFNER HH IY1 F N ER0 +HEIGES HH AY1 JH IH0 Z +HEIGHT HH AY1 T +HEIGHTEN HH AY1 T AH0 N +HEIGHTENED HH AY1 T AH0 N D +HEIGHTENING HH AY1 T AH0 N IH0 NG +HEIGHTENING(2) HH AY1 T N IH0 NG +HEIGHTENS HH AY1 T AH0 N Z +HEIGHTH HH AY1 TH +HEIGHTS HH AY1 T S +HEIGL HH AY1 G AH0 L +HEIKEN HH AY1 K AH0 N +HEIKES HH AY1 K AH0 Z +HEIKKILA HH AY1 K IH0 L AH0 +HEIKKINEN HH AY1 K IH0 N AH0 N +HEIKO HH AY1 K OW0 +HEIKO(2) HH EY1 K OW0 +HEIL HH AY1 L +HEILAND HH AY1 L AH0 N D +HEILBRUN HH AY1 L B R AH0 N +HEILEMAN HH AY1 L M AH0 N +HEILEMAN'S HH AY1 L M AH0 N Z +HEILER HH AY1 L ER0 +HEILIG HH AY1 L IH0 G +HEILMAN HH AY1 L M AH0 N +HEILMANN HH AY1 L M AH0 N +HEIM HH AY1 M +HEIMAN HH AY1 M AH0 N +HEIMANN HH AY1 M AH0 N +HEIMBACH HH AY1 M B AA2 K +HEIMBERGER HH AY1 M B ER0 G ER0 +HEIMBIGNER HH AY1 M B AY0 G N ER0 +HEIMBUCH HH AY1 M B AH0 K +HEIMBURGER HH AY1 M B ER0 G ER0 +HEIMER HH AY1 M ER0 +HEIMERL HH AY1 M ER0 L +HEIMLICH HH AY1 M L IH0 K +HEIMS HH AY1 M Z +HEIMSOTH HH AY1 M S AH0 TH +HEIN HH AY1 N +HEINBACH HH AY1 N B AA2 K +HEINBAUGH HH AY1 N B AW0 +HEINBURGER HH AY1 N B ER0 G ER0 +HEINDEL HH AY1 N D AH0 L +HEINDL HH AY1 N D AH0 L +HEINE HH AY1 N +HEINECKE HH AY1 N IH0 K +HEINEKEN HH AY1 N AH0 K AH0 N +HEINEMAN HH AY1 N M AH0 N +HEINEMANN HH AY1 N M AH0 N +HEINEN HH AY1 N AH0 N +HEINER HH AY1 N ER0 +HEINES HH AY1 N Z +HEINEY HH AY1 N IY0 +HEINI HH AY1 N IY0 +HEINICKE HH AY1 N IH0 K +HEINIG HH AY1 N IH0 G +HEININGER HH AY1 N IH0 NG ER0 +HEINISCH HH AY1 N IH0 SH +HEINKE HH AY1 NG K +HEINKEL HH AY1 NG K AH0 L +HEINL HH AY1 N AH0 L +HEINLE HH AY1 N AH0 L +HEINLEIN HH AY1 N L AY2 N +HEINLEN HH AY1 N AH0 L AH0 N +HEINLY HH AY1 N L IY0 +HEINO HH AY1 N OW0 +HEINOLD HH AY1 N OW0 L D +HEINONEN HH AY1 N AH0 N AH0 N +HEINOUS HH EY1 N AH0 S +HEINRICH HH AY1 N R IH0 K +HEINRICHS HH AY1 N R IH0 K S +HEINS HH AY1 N Z +HEINSOHN HH AY1 N S AH0 N +HEINTZ HH AY1 N T S +HEINTZE HH AY1 N T S +HEINTZELMAN HH AY1 N T Z AH0 L M AH0 N +HEINTZMAN HH AY1 N T S M AH0 N +HEINY HH AY1 N IY0 +HEINZ HH AY1 N Z +HEINZ'S HH AY1 N Z IH0 Z +HEINZE HH AY1 N Z +HEINZEL HH AY1 N Z AH0 L +HEINZELMAN HH AY1 N Z AH0 L M AH0 N +HEINZEN HH AY1 N Z AH0 N +HEINZMAN HH AY1 N Z M AH0 N +HEINZMANN HH AY1 N Z M AH0 N +HEIPLE HH AY1 P AH0 L +HEIR EH1 R +HEIRESS EH1 R AH0 S +HEIRESSES EH1 R AH0 S IH0 Z +HEIRLOOM EH1 R L UW2 M +HEIRLOOMS EH1 R L UW2 M Z +HEIRONIMUS EH1 R AA0 N IH0 M UW0 S +HEIRONIMUS(2) HH AY0 R AA1 N IH0 M AH0 S +HEIRS EH1 R Z +HEISBOURG HH AY1 S B AO2 R G +HEISE HH AY1 S +HEISEL HH AY1 S AH0 L +HEISER HH AY1 S ER0 +HEISERMAN HH AY1 S ER0 M AH0 N +HEISEY HH AY1 S IY0 +HEISHMAN HH IY1 IH0 SH M AH0 N +HEISINGER HH AY1 S IH0 N JH ER0 +HEISKELL HH AY1 S K AH0 L +HEISLER HH AY1 S AH0 L ER0 +HEISLER(2) HH AY1 S L ER0 +HEISMAN HH AY1 S M AH0 N +HEISMAN'S HH AY1 S M AH0 N Z +HEISNER HH AY1 S N ER0 +HEISS HH AY1 S +HEIST HH AY1 S T +HEISTAND HH AY1 S T AH0 N D +HEISTER HH AY1 S T ER0 +HEIT HH AY1 T +HEITKAMP HH AY1 T K AE2 M P +HEITMAN HH AY1 T M AH0 N +HEITMANN HH AY1 T M AH0 N +HEITMEYER HH AY1 T M AY0 ER0 +HEITNER HH AY1 T N ER0 +HEITZ HH AY1 T S +HEITZENRATER HH AY1 T Z IH0 N R EY0 T ER0 +HEITZMAN HH AY1 T S M AH0 N +HEIWA HH AY1 W AH0 +HEIZER HH AY1 Z ER0 +HEJL HH EH1 JH L +HEJNA HH EH1 JH N AH0 +HEKKER HH EH1 K ER0 +HEKMATYAR HH EH2 K M AH0 T Y AA1 R +HEKMATYAR'S HH EH2 K M AH0 T Y AA1 R Z +HELABA HH EH0 L AA1 B AH0 +HELANDER HH EH1 L AH0 N D ER0 +HELANE HH AH0 L EY1 N +HELBER HH EH1 L B ER0 +HELBERG HH EH1 L B ER0 G +HELBERT HH EH1 L B ER0 T +HELBIG HH EH1 L B IH0 G +HELBING HH EH1 L B IH0 NG +HELBLING HH EH1 L B AH0 L IH0 NG +HELBLING(2) HH EH1 L B L IH0 NG +HELD HH EH1 L D +HELDENBRAND HH EH1 L D IH0 N B R AH0 N D +HELDENBRAND(2) HH EH1 L D IH0 N B R AE0 N D +HELDENTENOR HH EH1 L D EH0 N T EH2 N ER0 +HELDER HH EH1 L D ER0 +HELDERMAN HH EH1 L D ER0 M AH0 N +HELDMAN HH EH1 L D M AH0 N +HELDOR HH EH1 L D ER0 +HELDRETH HH EH1 L D R IH0 TH +HELDRING HH EH1 L D R IH0 NG +HELDS HH EH1 L D Z +HELDT HH EH1 L T +HELEN HH EH1 L AH0 N +HELEN'S HH EH1 L IH0 N Z +HELENA HH EH1 L AH0 N AH0 +HELENA'S HH EH1 L IH0 N AH0 Z +HELENE HH AH0 L IY1 N +HELENS HH EH1 L AH0 N Z +HELF HH EH1 L F +HELFAND HH EH1 L F AH0 N D +HELFER HH EH1 L F ER0 +HELFGOTT HH EH1 L F G AA2 T +HELFMAN HH EH1 L F M AH0 N +HELFRICH HH EH1 L F R IH0 K +HELGA HH EH1 L G AH0 +HELGERSON HH EH1 L G ER0 S AH0 N +HELGESEN HH EH1 L G IY0 Z AH0 N +HELGESON HH EH1 L G IH0 S AH0 N +HELGET HH EH1 L G IH0 T +HELGREN HH EH1 L G R EH0 N +HELICAL HH EH1 L IH0 K AH0 L +HELICE HH EH1 L IH0 S +HELICON HH EH1 L IH0 K AA2 N +HELICONS HH EH1 L IH0 K AA2 N Z +HELICOPTER HH EH1 L IH0 K AA2 P T ER0 +HELICOPTER'S HH EH1 L AH0 K AA2 P T ER0 Z +HELICOPTERS HH EH1 L IH0 K AA2 P T ER0 Z +HELIE HH EH1 L IY0 +HELIN HH EH1 L IH0 N +HELING HH IY1 L IH0 NG +HELINSKI HH IH0 L IH1 N S K IY0 +HELIONETIC HH IY2 L IY0 OW0 N EH1 T IH0 K +HELIONETICS HH IY2 L IY0 OW0 N EH1 T IH0 K S +HELIOPOLIS HH IY2 L IY0 AA1 P AH0 L AH0 S +HELIOS HH IY1 L IY0 AA2 S +HELIOTROPE HH IY1 L IY0 AH0 T R OW2 P +HELIUM HH IY1 L IY0 AH0 M +HELIX HH IY1 L IH0 K S +HELKE HH EH1 L K +HELL HH EH1 L +HELL'S HH EH1 L Z +HELLACIOUS HH EH2 L EY1 SH AH0 S +HELLACIOUSLY HH EH2 L EY1 SH AH0 S L IY0 +HELLACIOUSNESS HH EH2 L EY1 SH AH0 S N AH0 S +HELLAMS HH EH1 L AH0 M Z +HELLAND HH EH1 L AH0 N D +HELLARD HH EH1 L ER0 D +HELLBERG HH EH1 L B ER0 G +HELLBUSCH HH EH1 L B AH0 SH +HELLBUSCH(2) HH EH1 L B UH0 SH +HELLE HH EH1 L +HELLEN HH EH1 L AH0 N +HELLENBRAND HH EH1 L AH0 N B R AE2 N D +HELLENIC HH AH0 L EH1 N IH0 K +HELLENISM HH EH1 L AH0 N IH2 Z AH0 M +HELLENISTIC HH EH2 L AH0 N IH1 S T IH0 K +HELLENIZE HH EH1 L AH0 N AY2 Z +HELLENIZED HH EH1 L AH0 N AY2 Z D +HELLENIZES HH EH1 L AH0 N AY2 Z IH0 Z +HELLENIZING HH EH1 L AH0 N AY2 Z IH0 NG +HELLER HH EH1 L ER0 +HELLER'S HH EH1 L ER0 Z +HELLERMAN HH EH1 L ER0 M AH0 N +HELLFIRE HH EH1 L F AY2 R +HELLICKSON HH EH1 L IH0 K S AH0 N +HELLIER HH EH1 L Y ER0 +HELLING HH EH1 L IH0 NG +HELLINGER HH EH1 L IH0 NG ER0 +HELLISH HH EH1 L IH0 SH +HELLMAN HH EH1 L M AH0 N +HELLMANN HH EH1 L M AH0 N +HELLMER HH EH1 L M ER0 +HELLMUTH HH EH1 L M UW2 TH +HELLNER HH EH1 L N ER0 +HELLO HH AH0 L OW1 +HELLO(2) HH EH0 L OW1 +HELLRAISER HH EH1 L R EY2 Z ER0 +HELLSTROM HH EH1 L S T R AH0 M +HELLUMS HH EH1 L AH0 M Z +HELLUVA HH EH2 L UW1 V AH0 +HELLWIG HH EH1 L W IH0 G +HELLYER HH EH1 L IY0 ER0 +HELM HH EH1 L M +HELMA HH EH1 L M AH0 +HELMAN HH EH1 L M AH0 N +HELMBRECHT HH EH1 L M B R IH0 K T +HELME HH EH1 L M +HELMER HH EH1 L M ER0 +HELMERICH HH EH1 L M ER0 IH0 K +HELMERS HH EH1 L M ER0 Z +HELMES HH EH1 L M Z +HELMET HH EH1 L M AH0 T +HELMETED HH EH1 L M AH0 T IH0 D +HELMETS HH EH1 L M AH0 T S +HELMICH HH EH1 L M IH0 K +HELMICK HH EH1 L M IH0 K +HELMIG HH EH1 L M IH0 G +HELMING HH EH1 L M IH0 NG +HELMINIAK HH EH1 L M IH0 N IY0 AE0 K +HELMINSKI HH IH0 L M IH1 N S K IY0 +HELMINTH HH EH1 L M IH0 N TH +HELMKAMP HH EH1 L M K AE2 M P +HELMKE HH EH1 L M K +HELMONT HH EH1 L M AA2 N T +HELMS HH EH1 L M Z +HELMS' HH EH1 L M Z +HELMS'S HH EH1 L M Z IH0 Z +HELMSBURTON HH EH1 L M Z B ER0 T AH0 N +HELMSLEY HH EH1 L M Z L IY0 +HELMSLEY'S HH EH1 L M Z L IY0 Z +HELMSLEYS HH EH1 L M Z L IY0 Z +HELMSMAN HH EH1 L M Z M AE2 N +HELMSTETTER HH EH1 L M S T IH0 T ER0 +HELMUT HH EH1 L M AH0 T +HELMUTH HH EH1 L M UW2 TH +HELOT HH EH1 L AH0 T +HELOTISM HH EH1 L AH0 T IH2 Z AH0 M +HELOTRY HH EH1 L AH0 T R IY0 +HELOTS HH EH1 L AH0 T S +HELP HH EH1 L P +HELPED HH EH1 L P T +HELPER HH EH1 L P ER0 +HELPERS HH EH1 L P ER0 Z +HELPFUL HH EH1 L P F AH0 L +HELPFULLY HH EH1 L P F AH0 L IY0 +HELPING HH EH1 L P IH0 NG +HELPINGS HH EH1 L P IH0 NG Z +HELPLESS HH EH1 L P L AH0 S +HELPLESSLY HH EH1 L P L AH0 S L IY0 +HELPLESSNESS HH EH1 L P L AH0 S N AH0 S +HELPRIN HH EH1 L P R IH0 N +HELPS HH EH1 L P S +HELSEL HH EH1 L S AH0 L +HELSER HH EH1 L S ER0 +HELSETH HH EH1 L S IH0 TH +HELSINKI HH EH1 L S IH0 NG K IY0 +HELSLEY HH EH1 L S L IY0 +HELSTROM HH EH1 L S T R AH0 M +HELT HH EH1 L T +HELTER HH EH1 L T ER0 +HELTER-SKELTER HH EH2 L T ER0 S K EH1 L T ER0 +HELTON HH EH1 L T AH0 N +HELTSLEY HH EH1 L T S L IY0 +HELTZEL HH EH1 L T Z AH0 L +HELVETICA HH EH2 L V EH1 T IH0 K AH0 +HELVEY HH EH1 L V IY0 +HELVIE HH EH1 L V IY0 +HELWIG HH EH1 L W IH0 G +HELZER HH EH1 L Z ER0 +HEM HH EH1 M +HEMAN HH IY1 M AH0 N +HEMANI HH AH0 M AA1 N IY0 +HEMANN HH EH1 M AH0 N +HEMANT HH EH1 M AH0 N T +HEMATITE HH EH1 M AH0 T AY2 T +HEMATOLOGY HH EH2 M AH0 T AA1 L AH0 JH IY0 +HEMATOLOGY(2) HH IY2 M AH0 T AA1 L AH0 JH IY0 +HEMBERGER HH EH1 M B ER0 G ER0 +HEMBREE HH IH0 M B R IY1 +HEMBRICK HH EH1 M B R IH2 K +HEMBY HH EH1 M B IY0 +HEMDALE HH EH1 M D EY2 L +HEMDALE'S HH EH1 M D EY2 L Z +HEMEL HH EH1 M AH0 L +HEMENWAY HH EH1 M AH0 N W EY2 +HEMIMORPHITE HH EH2 M AH0 M AO1 R F AY2 T +HEMING HH EH1 M IH0 NG +HEMINGER HH EH1 M IH0 NG ER0 +HEMINGWAY HH EH1 M IH0 NG W EY2 +HEMINGWAY'S HH EH1 M IH0 NG W EY2 Z +HEMIPLEGIA HH EH2 M AH0 P L IY1 JH IY0 AH0 +HEMIPLEGIA(2) HH EH2 M AH0 P L IY1 JH Y AH0 +HEMISPHERE HH EH1 M IH0 S F IH2 R +HEMISPHERIC HH EH2 M AH0 S F IH1 R IH0 K +HEMKER HH EH1 M K ER0 +HEMLER HH EH1 M L ER0 +HEMLINE HH EH1 M L AY2 N +HEMLINES HH EH1 M L AY2 N Z +HEMLO HH EH1 M L OW0 +HEMLOCK HH EH1 M L AA2 K +HEMM HH EH1 M +HEMME HH EH1 M +HEMMED HH EH1 M D +HEMMELGARN HH EH1 M IH0 L G AA0 R N +HEMMEN HH EH1 M AH0 N +HEMMER HH EH1 M ER0 +HEMMERICH HH EH1 M ER0 IH0 K +HEMMERLE HH EH1 M ER0 L IY0 +HEMMERLING HH EH1 M ER0 L IH0 NG +HEMMERT HH EH1 M ER0 T +HEMMETER HH EH1 M IH0 T ER0 +HEMMING HH EH1 M IH0 NG +HEMMINGER HH EH1 M IH0 NG ER0 +HEMMINGHAUS HH EH1 M IH0 NG HH AW2 S +HEMMINGS HH EH1 M IH0 NG Z +HEMMINGSEN HH EH1 M IH0 NG S AH0 N +HEMMINGSON HH EH1 M IH0 NG S AH0 N +HEMO HH IY1 M OW0 +HEMOCYANIN HH IY2 M AH0 S AY1 AH0 N AH0 N +HEMODYNAMIC HH EH2 M OW0 D AY0 N AE1 M IH0 K +HEMODYNAMICS HH EH2 M OW0 D AY0 N AE1 M IH0 K S +HEMOGLOBIN HH IY2 M AH0 G L OW1 B AH0 N +HEMOLYTIC HH IY2 M AH0 L IH1 T IH0 K +HEMOND HH EH1 M AH0 N D +HEMOPHILIA HH IY2 M AH0 F IY1 L IY0 AH0 +HEMOPHILIAC HH IY0 M AH0 F IH1 L IY0 AE0 K +HEMOPHILIAC(2) HH IY0 M OW0 F IH1 L IY0 AE0 K +HEMOPHILIAC(3) HH IY0 M AH0 F IH1 L Y AE0 K +HEMOPHILIAC(4) HH IY0 M OW0 F IH1 L Y AE0 K +HEMOPHILIACS HH IY2 M AH0 F IH1 L IY0 AE2 K S +HEMORRHAGE HH EH1 M ER0 IH0 JH +HEMORRHAGE(2) HH EH1 M R AH0 JH +HEMORRHAGED HH EH1 M ER0 IH0 JH D +HEMORRHAGIC HH EH2 M ER0 AE1 G IH0 K +HEMORRHAGING HH EH1 M ER0 IH0 JH IH0 NG +HEMORRHOID HH EH1 M ER0 OY2 D +HEMORRHOIDS HH EH1 M ER0 OY2 D Z +HEMOTEC HH EH1 M OW0 T EH2 K +HEMP HH EH1 M P +HEMPEL HH EH1 M P AH0 L +HEMPEN HH EH1 M P AH0 N +HEMPFLING HH EH1 M P F AH0 L IH0 NG +HEMPFLING(2) HH EH1 M P F L IH0 NG +HEMPHILL HH EH1 M P HH IH2 L +HEMPSTEAD HH EH1 M P S T EH0 D +HEMRIC HH EH1 M R IH0 K +HEMRICK HH EH1 M R IH0 K +HEMRY HH EH1 M R IY0 +HEMS HH EH1 M Z +HEMSLEY HH EH1 M Z L IY0 +HEMSTREET HH EH1 M S T R IY2 T +HEMY HH EH1 M IY0 +HEN HH EH1 N +HEN'S HH EH1 N Z +HENAO HH EY1 N AW0 +HENARD HH EH1 N ER0 D +HENAULT HH EH1 N AW0 L T +HENBANE HH EH1 N B EY2 N +HENCE HH EH1 N S +HENCEFORTH HH EH1 N S F AO1 R TH +HENCH HH EH1 N CH +HENCHMAN HH EH1 N CH M AH0 N +HENCHMEN HH EH1 N CH M AH0 N +HENCKEL HH EH1 N K AH0 L +HENDEE HH EH1 N D IY0 +HENDEL HH EH1 N D AH0 L +HENDERSHOT HH EH1 N D ER0 SH AH0 T +HENDERSHOTT HH EH1 N D ER0 SH AH0 T +HENDERSON HH EH1 N D ER0 S AH0 N +HENDLER HH EH1 N D L ER0 +HENDLEY HH EH1 N D L IY0 +HENDON HH EH1 N D OW0 N +HENDRA HH EH1 N D R AH0 +HENDREN HH EH1 N D ER0 AH0 N +HENDRICH HH EH1 N D R IH0 K +HENDRICK HH EH1 N D R IH0 K +HENDRICKS HH EH1 N D R IH0 K S +HENDRICKSEN HH EH1 N D R IH0 K S AH0 N +HENDRICKSON HH EH1 N D R IH0 K S AH0 N +HENDRIE HH EH1 N D ER0 IY0 +HENDRIK HH EH1 N D R IH0 K +HENDRIKS HH EH1 N D R IH0 K S +HENDRIKSEN HH EH1 N D R IH0 K S AH0 N +HENDRIX HH EH1 N D R IH0 K S +HENDRIXSON HH EH1 N D R IH0 K S AH0 N +HENDRON HH EH1 N D R AH0 N +HENDRY HH EH1 N D R IY0 +HENDRY'S HH EH1 N D R IY0 Z +HENDRYX HH EH1 N D R IH0 K S +HENDY HH EH1 N D IY0 +HENEGAR HH EH1 N IH0 G ER0 +HENEGHAN HH IH0 N EH1 G AH0 N +HENEHAN HH EH1 N IH0 HH AE0 N +HENERY HH EH1 N ER0 IY0 +HENES HH IY1 N Z +HENEY HH EH1 N IY0 +HENG HH EH1 NG +HENGEL HH EH1 NG G AH0 L +HENGST HH EH1 NG G S T +HENHOUSE HH EH1 N HH AW2 S +HENIE HH EH1 N IY0 +HENIGAN HH EH1 N IH0 G AH0 N +HENIN HH EH1 N IH0 N +HENINGER HH EH1 N IH0 NG ER0 +HENION HH EH1 N Y AH0 N +HENK HH EH1 NG K +HENKE HH EH1 NG K +HENKEL HH EH1 NG K AH0 L +HENKELMAN HH EH1 NG K AH0 L M AH0 N +HENKELS HH EH1 NG K AH0 L Z +HENKEN HH EH1 NG K AH0 N +HENKES HH EH1 NG K S +HENKIN HH EH1 NG K IH0 N +HENKLE HH EH1 NG K AH0 L +HENLE HH EH1 N AH0 L +HENLEY HH EH1 N L IY0 +HENLEY'S HH EH1 N L IY0 Z +HENLEYS HH EH1 N L IY0 Z +HENLINE HH EH1 N L AY2 N +HENLY HH EH1 N L IY0 +HENMAN HH EH1 N M AH0 N +HENN HH EH1 N +HENNA HH EH1 N AH0 +HENNAN HH EH1 N AH0 N +HENNE HH EH1 N +HENNE(2) HH EH1 N IY0 +HENNEBERGER HH EH1 N B ER0 G ER0 +HENNEBERRY HH EH1 N B EH0 R IY0 +HENNEKE HH EH1 N IH0 K +HENNELLY HH EH1 N AH0 L IY0 +HENNEMAN HH EH1 N M AH0 N +HENNEN HH EH1 N AH0 N +HENNEPIN HH EH1 N IH0 P IH0 N +HENNER HH EH1 N ER0 +HENNES HH EH1 N Z +HENNESS HH EH1 N IH0 S +HENNESSEE HH EH1 N IH0 S IY0 +HENNESSEY HH EH1 N AH0 S IY0 +HENNESSEY'S HH EH1 N AH0 S IY0 Z +HENNESSY HH EH1 N AH0 S IY0 +HENNEY HH EH1 N IY0 +HENNICK HH EH1 N IH0 K +HENNIG HH EH1 N IH0 G +HENNIGAN HH EH1 N IH0 G AH0 N +HENNIGAR HH EH1 N IH0 G ER0 +HENNING HH EH1 N IH0 NG +HENNINGER HH EH1 N IH0 NG ER0 +HENNINGS HH EH1 N IH0 NG Z +HENNINGSEN HH EH1 N IH0 NG S AH0 N +HENNINGTON HH EH1 N IH0 NG T AH0 N +HENNIS HH EH1 N IH0 S +HENNON HH EH1 N AH0 N +HENPECK HH EH1 N P EH2 K +HENPECKED HH EH1 N P EH2 K T +HENRI HH EH1 N R IY0 +HENRI(2) AO2 R IY1 +HENRI(3) AA2 N R IY1 +HENRICH HH EH1 N R IH0 K +HENRICHS HH EH1 N R IH0 K S +HENRICHSEN HH EH1 N R IH0 K S AH0 N +HENRICK HH EH1 N R IH0 K +HENRICKS HH EH1 N R IH0 K S +HENRICKSEN HH EH1 N R IH0 K S AH0 N +HENRICKSON HH EH1 N R IH0 K S AH0 N +HENRIE HH EH1 N ER0 IY0 +HENRIETTA HH EH2 N R IY0 EH1 T AH0 +HENRIETTE HH EH2 N R IY0 EH1 T +HENRIK HH EH1 N R IH0 K +HENRIKA HH EH1 N R IH0 K AH0 +HENRIKSEN HH EH1 N R IH0 K S AH0 N +HENRIKSON HH EH1 N R IH0 K S AH0 N +HENRIQUE AA0 N R IY1 K +HENRIQUES HH EH0 N R IY1 K EH0 Z +HENRIQUES(2) AA0 N R IY1 K +HENRIQUEZ HH EH0 N R IY1 K EH0 Z +HENRIQUEZ(2) AA0 N R IY1 K +HENRY HH EH1 N R IY0 +HENRY'S HH EH1 N R IY0 Z +HENS HH EH1 N Z +HENSARLING HH EH1 N S AA0 R L IH0 NG +HENSCH HH EH1 N SH +HENSCHEL HH EH1 N SH AH0 L +HENSCHEN HH EH1 N SH AH0 N +HENSE HH EH1 N S +HENSEL HH EH1 N S AH0 L +HENSEN HH EH1 N S AH0 N +HENSHAW HH EH1 N SH AO2 +HENSIL HH EH1 N S AH0 L +HENSKE HH EH1 N S K IY0 +HENSLEE HH EH1 N Z L IY2 +HENSLER HH EH1 N S AH0 L ER0 +HENSLER(2) HH EH1 N S L ER0 +HENSLEY HH EH1 N Z L IY0 +HENSON HH EH1 N S AH0 N +HENTGES HH EH1 N T JH IH0 Z +HENTHORN HH EH1 N TH AO2 R N +HENTHORNE HH EH1 N TH AO2 R N +HENTIC HH EH1 N T IH0 K +HENTOFF HH EH1 N T AO0 F +HENTON HH EH1 N T AH0 N +HENTSCHEL HH EH1 N CH AH0 L +HENTZ HH EH1 N T S +HENWOOD HH EH1 N W UH2 D +HENZE HH EH1 N Z +HENZEL HH EH1 N Z AH0 L +HENZLER HH EH1 N Z L ER0 +HEON HH IY1 AH0 N +HEOROICO HH IY2 AH0 R OW1 AH0 K OW0 +HEP HH EH1 P +HEPARIN HH EH1 P ER0 IH0 N +HEPATIC HH AH0 P AE1 T IH0 K +HEPATITIS HH EH2 P AH0 T AY1 T AH0 S +HEPBURN HH EH1 P B ER0 N +HEPBURN'S HH EH1 P B ER0 N Z +HEPFER HH EH1 P F ER0 +HEPKER HH EH1 P K ER0 +HEPLER HH EH1 P L ER0 +HEPNER HH EH1 P N ER0 +HEPP HH EH1 P +HEPPE HH EH1 P +HEPPER HH EH1 P ER0 +HEPPLER HH EH1 P L ER0 +HEPPNER HH EH1 P N ER0 +HEPTATHLON HH EH0 P T AE1 TH L AA0 N +HEPWORTH HH EH1 P W ER0 TH +HER HH ER1 +HER(2) HH ER0 +HER'S HH ER1 Z +HERA HH IH1 R AH0 +HERADIA HH ER0 AA1 D IY0 AH0 +HERALD HH EH1 R AH0 L D +HERALD'S HH EH1 R AH0 L D Z +HERALDED HH EH1 R AH0 L D IH0 D +HERALDIC HH EH0 R AE1 L D IH0 K +HERALDING HH EH1 R AH0 L D IH0 NG +HERALDRY HH EH1 R AH0 L D R IY0 +HERALDS HH EH1 R AH0 L D Z +HERB ER1 B +HERB(2) HH ER1 B +HERB'S ER1 B Z +HERB'S(2) HH ER1 B Z +HERBACEOUS ER0 B EY1 SH AH0 S +HERBAL ER1 B AH0 L +HERBAL(2) HH ER1 B AH0 L +HERBALIFE HH ER1 B AH0 L AY2 F +HERBALIFE(2) ER1 B AH0 L AY2 F +HERBALIST ER1 B AH0 L AH0 S T +HERBALIST(2) HH ER1 B AH0 L AH0 S T +HERBALIST'S ER1 B AH0 L AH0 S T S +HERBALIST'S(2) HH ER1 B AH0 L AH0 S T S +HERBALISTS ER1 B AH0 L AH0 S T S +HERBALISTS(2) HH ER1 B AH0 L AH0 S T S +HERBALISTS(3) ER1 B AH0 L AH0 S +HERBALISTS(4) HH ER1 B AH0 L AH0 S +HERBALISTS' ER1 B AH0 L AH0 S T S +HERBALISTS'(2) HH ER1 B AH0 L AH0 S T S +HERBARIUM HH ER0 B EH1 R IY2 AH0 M +HERBARIUM(2) ER0 B EH1 R IY2 AH0 M +HERBARIUMS HH ER0 B EH1 R IY2 AH0 M Z +HERBARIUMS(2) ER0 B EH1 R IY2 AH0 M Z +HERBECK HH ER1 B EH0 K +HERBEL HH ER1 B AH0 L +HERBER HH ER1 B ER0 +HERBERG HH ER1 B ER0 G +HERBERGER HH ER1 B ER0 G ER0 +HERBERS HH ER1 B ER0 Z +HERBERT HH ER1 B ER0 T +HERBERT'S HH ER1 B ER0 T S +HERBICIDE HH ER1 B IH0 S AY2 D +HERBICIDE(2) ER1 B IH0 S AY2 D +HERBICIDES ER1 B AH0 S AY2 D Z +HERBICIDES(2) HH ER1 B AH0 S AY2 D Z +HERBIE HH ER1 B IY0 +HERBIG HH ER1 B IH0 G +HERBIN HH ER1 B IH0 N +HERBISON HH ER1 B IH0 S AH0 N +HERBIVORE HH ER1 B IH0 V AO2 R +HERBIVORE(2) ER1 B IH0 V AO2 R +HERBIVOROUS HH ER0 B IH1 V ER0 AH0 S +HERBIVOROUS(2) ER0 B IH1 V ER0 AH0 S +HERBOLD HH ER1 B OW0 L D +HERBS ER1 B Z +HERBST HH ER1 B S T +HERBSTER HH ER1 B S T ER0 +HERCEG HH ER1 S IH0 G +HERCEGOVINA HH EH2 R T S AH0 G OW0 V IY1 N AH0 +HERCEGOVINA(2) HH ER2 R T S AH0 G OW0 V IY1 N AH0 +HERCEGOVINA'S HH EH2 R T S AH0 G OW0 V IY1 N AH0 Z +HERCEGOVINA'S(2) HH ER2 R T S AH0 G OW0 V IY1 N AH0 Z +HERCULEAN HH ER0 K Y UW1 L IY0 AH0 N +HERCULES HH ER1 K Y AH0 L IY2 Z +HERCZEG HH ER1 CH IH0 G +HERD HH ER1 D +HERDA HH EH1 R D AH0 +HERDAL HH EH1 R D AH0 L +HERDED HH ER1 D IH0 D +HERDER HH EH1 R D ER0 +HERDER(2) HH ER1 D ER0 +HERDERS HH ER1 D ER0 Z +HERDING HH ER1 D IH0 NG +HERDMAN HH ER1 D M AH0 N +HERDS HH ER1 D Z +HERDSMEN HH ER1 D Z M IH0 N +HERDT HH ER1 T +HERE HH IY1 R +HERE'S HH IH1 R Z +HEREABOUT HH IH1 R AH0 B AW2 T +HEREABOUTS HH IH1 R AH0 B AW2 T S +HEREAFTER HH IH0 R AE1 F T ER0 +HEREBY HH IH0 R B AY1 +HEREDIA HH ER0 EH1 D IY0 AH0 +HEREDITARY HH ER0 EH1 D AH0 T EH2 R IY0 +HEREDITY HH ER0 EH1 D AH0 T IY0 +HEREFORD HH EH1 R AH0 F ER0 D +HEREIN HH IH0 R IH1 N +HERENDEEN HH IH1 R N D IY0 N +HERESY HH EH1 R AH0 S IY0 +HERETIC HH EH1 R AH0 T IH0 K +HERETICAL HH ER0 EH1 T IH0 K AH0 L +HERETICS HH EH1 R AH0 T IH0 K S +HERETOFORE HH IH2 R T AH0 F AO1 R +HEREWITH HH IH1 R W IH1 TH +HERFORD HH ER1 F ER0 D +HERFURTH HH ER1 F ER0 TH +HERGERT HH ER1 G ER0 T +HERGET HH ER1 G IH0 T +HERGOTT HH ER1 G AH0 T +HERIN HH EH1 R IH0 N +HERING HH ER1 IH0 NG +HERINGER HH EH1 R IH0 N JH ER0 +HERINGTON HH EH1 R IH0 NG T AH0 N +HERITABLE HH EH1 R AH0 T AH0 B AH0 L +HERITAGE HH EH1 R AH0 T AH0 JH +HERITAGE(2) HH EH1 R IH0 T IH0 JH +HERITAGE'S HH EH1 R AH0 T IH0 JH IH0 Z +HERITAGES HH EH1 R IH0 T IH0 JH AH0 Z +HERK HH ER1 K +HERKERT HH ER1 K ER0 T +HERL HH ER1 L +HERLIHY HH ER1 L IH0 HH IY0 +HERLING HH ER1 L IH0 NG +HERLONG HH ER1 L AO0 NG +HERM HH ER1 M +HERMAN HH ER1 M AH0 N +HERMAN'S HH ER1 M AH0 N Z +HERMANCE HH ER1 M AH0 N S +HERMANN HH ER1 M AH0 N +HERMANNS HH ER1 M AA0 N Z +HERMANS HH ER1 M AH0 N Z +HERMANSEN HH ER1 M AH0 N S AH0 N +HERMANSON HH ER1 M AH0 N S AH0 N +HERMAPHRODITE HH ER0 M AE1 F R AH0 D AY2 T +HERMAPHRODITIC HH ER0 M AE2 F R AH0 D IH1 T IH0 K +HERMENIO HH ER0 M EH1 N IY0 OW0 +HERMES HH ER1 M IY0 Z +HERMETICALLY HH ER0 M EH1 T IH0 K AH0 L IY0 +HERMETICALLY(2) HH ER0 M EH1 T IH0 K L IY0 +HERMIA HH ER1 M IY0 AH0 +HERMIAS HH ER1 M IY0 AH0 Z +HERMIDA HH EH0 R M IY1 D AH0 +HERMIE HH ER1 M IY0 +HERMINA HH ER1 M IH0 N AH0 +HERMINA(2) HH ER0 M IY1 N AH0 +HERMINE HH ER1 M IH0 N +HERMINIA HH EH0 R M IY1 N IY0 AH0 +HERMINIE HH ER2 M IH1 N IY0 +HERMIONE HH ER0 M IY0 OW1 N IY0 +HERMIT HH ER1 M AH0 T +HERMITAGE HH ER1 M AH0 T AH0 JH +HERMITS HH ER1 M AH0 T S +HERMON HH ER1 M AH0 N +HERMOSA HH EH0 R M OW1 S AH0 +HERMOSILLO HH ER0 M AH0 S IH1 L OW0 +HERMS HH ER1 M Z +HERMSEN HH ER1 M S AH0 N +HERN HH ER1 N +HERNAN HH ER1 N AH0 N +HERNANDES HH ER1 N IH0 N D Z +HERNANDES(2) HH ER0 N AE1 N D EH0 Z +HERNANDEZ HH ER0 N AE1 N D EH0 Z +HERNANDEZ'S HH ER0 N AE1 N D EH0 Z AH0 Z +HERNANDO HH ER0 N AA1 N D OW0 +HERNDON HH ER1 N D AH0 N +HERNE HH ER1 N +HERNER HH ER1 N ER0 +HERNIA HH ER1 N IY0 AH0 +HERNIATE HH ER1 N IY0 EY2 T +HERNIATES HH ER1 N IY0 EY2 T S +HERNON HH ER1 N AH0 N +HERO HH IH1 R OW0 +HERO(2) HH IY1 R OW0 +HERO'S HH IH1 R OW0 Z +HERO'S(2) HH IY1 R OW0 Z +HEROD HH EH1 R AH0 D +HEROES HH IH1 R OW0 Z +HEROES(2) HH IY1 R OW0 Z +HEROIC HH IH0 R OW1 IH0 K +HEROICALLY HH IH2 R OW1 IH0 K L IY0 +HEROICS HH IH0 R OW1 IH0 K S +HEROIN HH EH1 R OW0 AH0 N +HEROIN'S HH EH1 R OW0 AH0 N Z +HEROINE HH EH1 R OW0 AH0 N +HEROINES HH EH1 R OW2 AH0 N Z +HEROISM HH EH1 R OW0 IH2 Z AH0 M +HEROIZE HH IY1 R OW0 AY2 Z +HEROIZED HH IY1 R OW0 AY2 Z D +HEROLD HH EH1 R AH0 L D +HERON HH EH1 R AH0 N +HERON'S HH EH1 R AH0 N Z +HERONS HH EH1 R AH0 N Z +HEROS HH IH1 R OW0 Z +HEROUX HH ER0 UW1 +HERPES HH ER1 P IY0 Z +HERR HH EH1 R +HERRE HH EH1 R +HERRE(2) HH AH1 R IY0 +HERREID HH EH1 R AY0 D +HERRELL HH EH1 R AH0 L +HERREN HH EH1 R AH0 N +HERRERA HH ER0 EH1 R AH0 +HERRERO HH EH0 R EH1 R OW0 +HERRHAUSEN HH EH1 R HH AW2 Z AH0 N +HERRIAGE HH EH1 R IY0 IH0 JH +HERRICK HH EH1 R IH0 K +HERRIDGE HH EH1 R IH0 JH +HERRIG HH EH1 R IH0 G +HERRIMAN HH EH1 R IH0 M AH0 N +HERRIN HH EH1 R IH0 N +HERRING HH EH1 R IH0 NG +HERRINGS HH EH1 R IH0 NG Z +HERRINGSHAW HH EH1 R IH0 NG SH AO2 +HERRINGTON HH EH1 R IH0 NG T AH0 N +HERRINGTON'S HH EH1 R IH0 NG T AH0 N Z +HERRIOTT HH EH1 R IY0 AA0 T +HERRIOTT(2) HH EH1 R IY0 AH0 T +HERRLE HH EH1 R AH0 L +HERRLINGER HH EH1 R L IH2 NG ER0 +HERRLINGER(2) HH EH1 R L IH2 NG G ER0 +HERRMAN HH EH1 R M AH0 N +HERRMANN HH EH1 R M AH0 N +HERRO HH EH1 R OW0 +HERROD HH EH1 R AH0 D +HERROLD HH EH1 R OW2 L D +HERRON HH EH1 R AH0 N +HERRONIMO HH ER0 AA1 N AH0 M OW0 +HERRONIMO'S HH ER0 AA1 N AH0 M OW0 Z +HERS HH ER0 Z +HERS(2) HH ER1 Z +HERSANT HH ER1 S AH0 N T +HERSCH HH ER1 SH +HERSCHEL HH ER1 SH AH0 L +HERSCHEL'S HH ER1 SH AH0 L Z +HERSCHELL HH ER1 SH AH0 L +HERSCHENSOHN HH ER1 SH AH0 N S AH0 N +HERSCU HH ER0 S K UW1 +HERSELF HH ER0 S EH1 L F +HERSEY HH ER1 S IY0 +HERSH HH ER1 SH +HERSHBERGER HH ER1 SH B ER0 G ER0 +HERSHEY HH ER1 SH IY0 +HERSHEY'S HH ER1 SH IY0 Z +HERSHISER HH ER1 SH AY0 Z ER0 +HERSHKOWITZ HH ER1 SH K AH0 W IH0 T S +HERSHMAN HH ER1 SH M AH0 N +HERSHNER HH ER1 SH N ER0 +HERSKOVITZ HH ER1 S K AH0 V IH0 T S +HERSKOWITZ HH ER1 S K AH0 W IH0 T S +HERSMAN HH ER1 S M AH0 N +HERSOM HH ER1 S AH0 M +HERSON HH ER1 S AH0 N +HERST HH ER1 S T +HERT HH ER1 T +HERTA HH ER1 T AH0 +HERTEL HH ER1 T AH0 L +HERTENSTEIN HH ER1 T AH0 N S T AY0 N +HERTENSTEIN(2) HH ER1 T AH0 N S T IY0 N +HERTER HH ER1 T ER0 +HERTHA HH ER1 TH AH0 +HERTIG HH ER1 T IH0 G +HERTING HH ER1 T IH0 NG +HERTLEIN HH ER1 T L AY0 N +HERTOG HH ER1 T AA0 G +HERTZ HH EH1 R T S +HERTZ(2) HH ER1 T S +HERTZBERG HH ER1 T S B ER0 G +HERTZENLEBEN HH ER1 T AH0 N L EY2 B AH0 N +HERTZENLEBEN'S HH ER1 T AH0 N L EY2 B AH0 N Z +HERTZLER HH ER1 T Z AH0 L ER0 +HERTZLER(2) HH ER1 T Z L ER0 +HERTZOG HH ER1 T Z AH0 G +HERTZOG(2) HH ER1 T Z AA2 G +HERVE HH ER1 V +HERVE(2) HH ER1 V EY0 +HERVEY HH ER0 V EY1 +HERWICK HH ER1 W IH2 K +HERWIG HH ER1 W IH0 G +HERWITZ HH ER1 W IH0 T S +HERYANA HH ER0 Y AE1 N AH0 +HERZ HH ER1 Z +HERZBERG HH ER1 Z B ER0 G +HERZBERGER HH ER1 Z B ER0 G ER0 +HERZEGOVINA HH EH2 R T S AH0 G OW0 V IY1 N AH0 +HERZEGOVINA(2) HH ER2 T S AH0 G OW0 V IY1 N AH0 +HERZEGOVINA'S HH EH2 R T S AH0 G OW0 V IY1 N AH0 Z +HERZEGOVINA'S(2) HH ER2 T S AH0 G OW0 V IY1 N AH0 Z +HERZER HH ER1 Z ER0 +HERZFELD HH ER1 Z F EH0 L D +HERZIG HH ER1 Z IH0 G +HERZING HH ER1 Z IH0 NG +HERZLINGER HH ER1 Z L IH2 NG ER0 +HERZOG HH ER1 Z AA0 G +HESCH HH EH1 SH +HESELTINE HH EH1 S AH0 L T IY2 N +HESELTINE(2) HH EH1 S AH0 L T AY2 N +HESELTON HH IH0 S EH1 L T AH0 N +HESHENG HH EH1 SH EH1 NG +HESIK HH EH1 S IH0 K +HESIK(2) HH EY1 S IH0 K +HESIOD HH IY1 S IY0 AH0 D +HESITANCY HH EH1 Z IH0 T AH0 N S IY0 +HESITANT HH EH1 Z IH0 T AH0 N T +HESITANTLY HH EH1 Z IH0 T AH0 N T L IY0 +HESITATE HH EH1 Z AH0 T EY2 T +HESITATED HH EH1 Z IH0 T EY2 T IH0 D +HESITATES HH EH1 Z AH0 T EY2 T S +HESITATING HH EH1 Z AH0 T EY2 T IH0 NG +HESITATION HH EH2 Z AH0 T EY1 SH AH0 N +HESITATIONS HH EH2 Z AH0 T EY1 SH AH0 N Z +HESKETH HH EH1 S K IH0 TH +HESKETT HH EH1 S K IH0 T +HESLEP HH EH1 S L IH0 P +HESLER HH EH1 S AH0 L ER0 +HESLER(2) HH EH1 S L ER0 +HESLIN HH EH1 Z L IH0 N +HESLIN'S HH EH1 Z L IH0 N Z +HESLOP HH EH1 S L AH0 P +HESPER HH EH1 S P ER0 +HESPERA HH EY0 S P EH1 R AH0 +HESS HH EH1 S +HESSE HH EH1 S +HESSE'S HH EH1 S IH0 Z +HESSEL HH EH1 S AH0 L +HESSELTINE HH EH1 S IH0 L T IY0 N +HESSER HH EH1 S ER0 +HESSIAN HH EH1 SH AH0 N +HESSING HH EH1 S IH0 NG +HESSINGER HH EH1 S IH0 N JH ER0 +HESSION HH EH1 SH IH0 N +HESSITE HH EH1 S AY0 T +HESSLER HH EH1 S L ER0 +HESSLING HH EH1 S AH0 L IH0 NG +HESSLING(2) HH EH1 S L IH0 NG +HESSON HH EH1 S AH0 N +HESSTON HH EH1 S T AH0 N +HESSTON'S HH EH1 S T AH0 N Z +HESTAND HH EH1 S T AH0 N D +HESTER HH EH1 S T ER0 +HESTHER HH EH1 S DH ER0 +HESTIA HH EH1 S T IY0 AH0 +HESTON HH EH1 S T AH0 N +HETEROCERCAL HH EH2 T ER0 OW0 S ER1 K AH0 L +HETERODOX HH EH1 T ER0 AH0 D AA2 K S +HETERODOXY HH EH1 T ER0 AH0 D AA2 K S IY0 +HETERODYNE HH EH1 T ER0 AH0 D AY2 N +HETEROGENEITY HH EH2 T ER0 AH0 JH IH0 N IY1 AH0 T IY0 +HETEROGENEITY(2) HH EH2 T ER0 AH0 JH IH0 N EY1 AH0 T IY0 +HETEROGENEOUS HH EH2 T ER0 AH0 JH IY1 N Y AH0 S +HETEROSEXUAL HH EH2 T ER0 OW0 S EH1 K SH AH0 W AH0 L +HETEROSEXUALITY HH EH2 T ER0 OW0 S EH0 K SH AH0 W AE1 L IH0 T IY0 +HETEROSEXUALS HH EH2 T ER0 OW0 S EH1 K SH AH0 W AH0 L Z +HETEROSIS HH EH2 T ER0 OW1 S AH0 S +HETEROSPOROUS HH EH2 T ER0 AA1 S P ER0 AH0 S +HETEROTROPHIC HH EH2 T ER0 AH0 T R AA1 F IH0 K +HETEROZYGOUS HH EH2 T ER0 AH0 Z AY1 G AH0 S +HETH HH EH1 TH +HETHERINGTON HH EH1 DH ER0 IH0 NG T AH0 N +HETLAND HH EH1 T L AH0 N D +HETMAN HH EH1 T M AH0 N +HETRICK HH EH1 T R IH0 K +HETT HH EH1 T +HETTEL HH EH1 T AH0 L +HETTI HH EH1 T IY0 +HETTICK HH EH1 T IH0 K +HETTIE HH EH1 T IY0 +HETTLER HH EH1 T L ER0 +HETTRICK HH EH1 T R IH0 K +HETTY HH EH1 T IY0 +HETU HH IY1 CH UW0 +HETZ HH EH1 T S +HETZEL HH EH1 T Z AH0 L +HETZER HH EH1 T Z ER0 +HETZLER HH EH1 T S L ER0 +HEUBERGER HH OY1 B ER0 G ER0 +HEUBLEIN HH Y UW1 B L AY2 N +HEUER HH Y UW1 ER0 +HEUER'S HH Y UW1 ER0 Z +HEUERMAN HH OY1 ER0 M AH0 N +HEUERMANN HH OY1 ER0 M AH0 N +HEUMAN HH Y UW1 M AH0 N +HEUMANN HH Y UW1 M AH0 N +HEUN HH Y UW1 N +HEUNG-YEUNG HH UW1 NG Y UW1 NG +HEUPEL HH OY1 P AH0 L +HEURING HH ER1 IH0 NG +HEURISTIC HH Y UH0 R IH1 S T IH0 K +HEURISTICS HH Y UH0 R IH1 S T IH0 K S +HEUSEN HH Y UW1 S AH0 N +HEUSER HH OY1 S ER0 +HEUSSER HH Y UW1 S ER0 +HEVENER HH EH1 V IY0 N ER0 +HEVERLY HH EH1 V ER0 L IY0 +HEVEY HH IH0 V EY1 +HEVIA HH EY1 V IY0 AH0 +HEVNER HH EH1 V N ER0 +HEW HH Y UW1 +HEWARD HH Y UW1 ER0 D +HEWE HH Y UW1 +HEWELL HH EH1 W EH0 L +HEWELL(2) HH Y UW1 W EH0 L +HEWER HH Y UW1 ER0 +HEWES HH Y UW1 Z +HEWETT HH Y UW1 IH0 T +HEWEY HH Y UW1 IY0 +HEWING HH Y UW1 IH0 NG +HEWINS HH Y UW1 IH0 N Z +HEWITT HH Y UW1 IH0 T +HEWITT'S HH Y UW1 IH0 T S +HEWLER HH Y UW1 L ER0 +HEWLER'S HH Y UW1 L ER0 Z +HEWLETT HH Y UW1 L IH0 T +HEWN HH Y UW1 N +HEWS HH Y UW1 Z +HEWSON HH Y UW1 S AH0 N +HEX HH EH1 K S +HEXACHLOROPHENE HH EH2 K S AH0 K L AO1 R AH0 F IY2 N +HEXAGON HH EH1 K S AH0 G AA2 N +HEXAGONAL HH EH0 K S AE1 G AH0 N AH0 L +HEXANE HH EH1 K S EY0 N +HEXCEL HH EH1 K S AH0 L +HEXT HH EH1 K S T +HEY HH EY1 +HEYBOER HH EY1 B OW0 ER0 +HEYD HH EY1 D +HEYDAY HH EY1 D EY2 +HEYDE HH EY1 D +HEYDEN HH EY1 D AH0 N +HEYDON HH EY1 D AH0 N +HEYDT HH EY1 D T +HEYE HH AY1 +HEYEN HH AY1 N +HEYER HH EY1 ER0 +HEYING HH EY1 IH0 NG +HEYL HH EY1 L +HEYMAN HH EY1 M AH0 N +HEYMAN'S HH EY1 M AH0 N Z +HEYMANN HH EY1 M AH0 N +HEYMANN'S HH EY1 M AH0 N Z +HEYN HH EY1 N +HEYNE HH EY1 N +HEYS HH EY1 Z +HEYSE HH EY1 S +HEYSER HH EY1 Z ER0 +HEYWARD HH EY1 W ER0 D +HEYWOOD HH EY1 W UH2 D +HEZBOLLAH HH EH1 Z B AA0 L AH2 +HEZBOLLAH'S HH EH1 Z B AA0 L AH2 Z +HEZBULLAH HH EH2 Z B AA0 L AH1 +HEZBULLAH(2) HH EH1 Z B AA0 L AH2 +HEZBULLAH'S HH EH1 Z B AA0 L AH2 Z +HFDF EY1 CH EH1 F D IY1 EH1 F +HGH EY1 CH JH IY1 EY1 CH +HI HH AY1 +HI-FI HH AY1 F AY1 +HIAA EY1 CH AY1 EY1 EY1 +HIAASEN HH AY1 AA0 S IH0 N +HIALEAH HH AY2 AH0 L IY1 AH0 +HIAM HH AY1 AH0 M +HIATT HH AY1 AH0 T +HIATT'S HH AY1 AH0 T S +HIATUS HH AY0 EY1 T AH0 S +HIAWATHA HH AY2 AH0 W AA1 TH AH0 +HIBAAQ HH AY1 B AE2 K +HIBACHI HH AH0 B AA1 CH IY0 +HIBACHI(2) HH IY0 B AA1 CH IY0 +HIBBARD HH IH1 B ER0 D +HIBBEN HH IH1 B AH0 N +HIBBERD HH IH1 B ER0 D +HIBBERT HH IH1 B ER0 T +HIBBETT HH IH1 B IH0 T +HIBBING HH IH1 B IH0 NG +HIBBITTS HH IH1 B IH0 T S +HIBBLER HH IH1 B L ER0 +HIBBS HH IH1 B Z +HIBDON HH IH1 B D AH0 N +HIBERNATE HH AY1 B ER0 N EY2 T +HIBERNATION HH AY2 B ER0 N EY1 SH AH0 N +HIBERNIA HH AY2 B ER1 N IY0 AH0 +HIBERNIA'S HH AY2 B ER1 N IY0 AH0 Z +HIBLER HH IH1 B L ER0 +HIBMA HH IH1 B M AH0 +HIBNER HH IH1 B N ER0 +HIBOR HH AY1 B ER0 +HIBSHMAN HH IH1 B SH M AH0 N +HICCOUGH HH IH1 K AH0 P +HICCOUGHS HH IH1 K AH0 P S +HICCUP HH IH1 K AH0 P +HICCUPS HH IH1 K AH0 P S +HICE HH AY1 S +HICFA HH IH1 K F AH0 +HICHENS HH IH1 K AH0 N Z +HICK HH IH1 K +HICKAM HH IH1 K AH0 M +HICKCOX HH IH1 K AA0 K S +HICKEL HH IH1 K AH0 L +HICKEN HH IH1 K AH0 N +HICKERSON HH IH1 K ER0 S AH0 N +HICKEY HH IH1 K IY0 +HICKLE HH IH1 K AH0 L +HICKLIN HH IH1 K L IH0 N +HICKLING HH IH1 K L IH0 NG +HICKMAN HH IH1 K M AH0 N +HICKMON HH IH1 K M AH0 N +HICKOK HH IH1 K AH0 K +HICKORIES HH IH1 K ER0 IY0 Z +HICKORY HH IH1 K ER0 IY0 +HICKORY(2) HH IH1 K R IY0 +HICKOX HH IH1 K AA0 K S +HICKS HH IH1 K S +HICKSON HH IH1 K S AH0 N +HICKSVILLE HH IH1 K S V IH2 L +HID HH IH1 D +HIDALGO HH AH0 D AE1 L G OW2 +HIDDEN HH IH1 D AH0 N +HIDE HH AY1 D +HIDEAKI HH IY2 D EY0 AA1 K IY0 +HIDEAWAY HH AY1 D AH0 W EY2 +HIDEBOUND HH AY1 D B AW2 N D +HIDEO HH IH0 D EY1 OW0 +HIDEOUS HH IH1 D IY0 AH0 S +HIDEOUSLY HH IH1 D IY0 AH0 S L IY0 +HIDEOUT HH AY1 D AW2 T +HIDEOUTS HH AY1 D AW2 T S +HIDER HH AY1 D ER0 +HIDES HH AY1 D Z +HIDING HH AY1 D IH0 NG +HIDY HH AY1 D IY0 +HIEB HH IY1 B +HIEBER HH IY1 B ER0 +HIEBERT HH IY1 B ER0 T +HIEGEL HH IY1 G AH0 L +HIEMS HH IY1 M Z +HIEMSTRA HH IY1 M S T R AH0 +HIER HH AY1 ER0 +HIERARCHICAL HH AY2 R AA1 R K AH0 K AH0 L +HIERARCHIES HH AY1 R AA2 R K IY0 Z +HIERARCHY HH AY1 ER0 AA2 R K IY0 +HIERARCHY(2) HH AY1 R AA2 R K IY0 +HIERHOLZER HH AY1 R HH OW0 L Z ER0 +HIEROGLYPH HH AY2 R OW0 G L IH1 F +HIEROGLYPHIC HH AY2 R OW0 G L IH1 F IH0 K +HIEROGLYPHICS HH AY2 R OW0 G L IH1 F IH0 K S +HIEROGLYPHS HH AY2 R OW0 G L IH1 F S +HIERS HH IY1 R Z +HIESTAND HH IY1 S T AH0 N D +HIESTER HH AY1 IH0 S T ER0 +HIETALA HH AY1 T AH0 L AH0 +HIETPAS HH AY1 T P AH0 Z +HIETT HH AY1 T +HIGA HH IY1 G AH0 +HIGASHI HH IY0 G AA1 SH IY0 +HIGBEE HH IH1 G B IY2 +HIGBIE HH IH1 G B IY0 +HIGBY HH IH1 G B IY0 +HIGDON HH IH1 G D AH0 N +HIGGASON HH IH1 G AH0 S AH0 N +HIGGENBOTHAM HH IH1 G IH0 N B AH0 TH AH0 M +HIGGENS HH IH1 G AH0 N Z +HIGGERSON HH IH1 G ER0 S AH0 N +HIGGINBOTHAM HH IH0 G IH0 N B AA1 TH AH0 M +HIGGINBOTTOM HH IH0 G IH0 N B AA1 T AH0 M +HIGGINS HH IH1 G IH0 N Z +HIGGINSON HH IH1 G IH0 N S AH0 N +HIGGS HH IH1 G Z +HIGH HH AY1 +HIGH-END HH AY2 EH1 N D +HIGH-LEVEL HH AY2 L EH1 V AH0 L +HIGH-MINDED HH AY2 M AY1 N D IH0 D +HIGH-POWERED HH AY2 P AW1 ER0 D +HIGH-PROFILE HH AY2 P R OW1 F AY0 L +HIGH-QUALITY HH AY2 K W AA1 L AH0 T IY0 +HIGH-SCHOOL HH AY1 S K UW2 L +HIGH-SPEED HH AY1 S P IY2 D +HIGH-SPIRITED HH AY2 S P IH1 R IH0 D IH0 D +HIGH-SPIRITEDNESS HH AY2 S P IH1 R IH0 D IH0 D N AH0 S +HIGH-TECH HH AY2 T EH1 K +HIGHAM HH AY1 AH0 M +HIGHBERGER HH AY1 B ER2 G ER0 +HIGHBOY HH AY1 B OY2 +HIGHBROW HH AY1 B R AW2 +HIGHBROWS HH AY1 B R AW2 Z +HIGHER HH AY1 ER0 +HIGHEST HH AY1 AH0 S T +HIGHFALUTIN HH AY2 F AH0 L UW1 T IH0 N +HIGHFIELD HH AY1 F IY2 L D +HIGHFILL HH AY1 F IH2 L +HIGHFLIER HH AY1 F L AY2 ER0 +HIGHFLIERS HH AY1 F L AY2 ER0 Z +HIGHFLYING HH AY1 F L AY2 IH0 NG +HIGHLAND HH AY1 L AH0 N D +HIGHLANDER HH AY1 L AE2 N D ER0 +HIGHLANDERS HH AY1 L AE2 N D ER0 Z +HIGHLANDS HH AY1 L AH0 N D Z +HIGHLEY HH AY1 L IY0 +HIGHLIGHT HH AY1 L AY2 T +HIGHLIGHTED HH AY1 L AY2 T IH0 D +HIGHLIGHTING HH AY1 L AY2 T IH0 NG +HIGHLIGHTS HH AY1 L AY2 T S +HIGHLY HH AY1 L IY0 +HIGHMAN HH AY1 M AH0 N +HIGHNESS HH AY1 N AH0 S +HIGHOSIN HH AY1 OW0 S IH0 N +HIGHRISE HH AY1 R AY2 Z +HIGHRISES HH AY1 R AY2 Z IH0 Z +HIGHS HH AY1 Z +HIGHSCHOOL HH AY1 S K UW2 L +HIGHSCHOOLS HH AY1 S K UW2 L Z +HIGHSMITH HH AY1 S M IH2 TH +HIGHSPEED HH AY1 S P IY2 D +HIGHT HH AY1 T +HIGHTECH HH AY1 T EH2 K +HIGHTOWER HH AY1 T AW2 ER0 +HIGHTOWER'S HH AY1 T AW2 ER0 Z +HIGHWAY HH AY1 W EY2 +HIGHWAY'S HH AY1 W EY2 Z +HIGHWAYS HH AY1 W EY2 Z +HIGHYIELD HH AY1 Y IY1 L D +HIGINBOTHAM HH IH1 G IH0 N B AH0 TH AH0 M +HIGLEY HH IH1 G L IY0 +HIGMAN HH IH1 G M AH0 N +HIGNIGHT HH IH1 G N AY2 T +HIGNITE HH IH1 G N AY2 T +HIGUCHI HH IY0 G UW1 CH IY0 +HIGUERA HH IY0 G EH1 R AH0 +HIJACK HH AY1 JH AE2 K +HIJACKED HH AY1 JH AE2 K T +HIJACKER HH AY1 JH AE2 K ER0 +HIJACKERS HH AY1 JH AE2 K ER0 Z +HIJACKING HH AY1 JH AE2 K IH0 NG +HIJACKINGS HH AY1 JH AE2 K IH0 NG Z +HIJINKS HH IH1 JH IH0 NG K S +HIKE HH AY1 K +HIKED HH AY1 K T +HIKER HH AY1 K ER0 +HIKERS HH AY1 K ER0 Z +HIKES HH AY1 K S +HIKING HH AY1 K IH0 NG +HILAND HH IH1 L AH0 N D +HILARIA HH IY0 L AA1 R IY0 AH0 +HILARIO HH IY0 L AA1 R IY0 OW0 +HILARIOUS HH IH0 L EH1 R IY0 AH0 S +HILARIOUSLY HH IH0 L EH1 R IY0 AH0 S L IY0 +HILARITY HH IH0 L EH1 R AH0 T IY0 +HILARY HH IH1 L ER0 IY0 +HILB HH IH1 L B +HILBERG HH IH1 L B ER0 G +HILBERT HH IH1 L B ER0 T +HILBORN HH IH1 L B ER0 N +HILBUN HH IH1 L B AH0 N +HILBURN HH IH1 L B ER0 N +HILD HH IH1 L D +HILDA HH IH1 L D AH0 +HILDE HH IH1 L D +HILDEBRAN HH IH1 L D IH0 B R AH0 N +HILDEBRAND HH IH1 L D IH0 B R AE2 N D +HILDEBRANDT HH IH1 L D IH0 B R AH0 N T +HILDEBRANT HH IH1 L D IH0 B R AH0 N T +HILDEGARD HH IH1 L D AH0 G AA2 R D +HILDEGARDE HH IH1 L D IH0 G AA2 R D +HILDEGARDES HH IH1 L D AH0 G AA2 R D Z +HILDEMAR HH IH1 L D IH0 M ER0 +HILDEN HH AY1 L D AH0 N +HILDENBRAND HH IH1 L D IH0 N B R AH0 N D +HILDENBRAND(2) HH IH1 L D AH0 N B R AE0 N D +HILDER HH IH1 L D ER0 +HILDERBRAND HH IH1 L D ER0 B R AH0 N D +HILDERBRANDT HH IH1 L D ER0 B R AH0 N T +HILDIE HH AY1 L D IY0 +HILDITCH HH IH1 L D IH0 CH +HILDRETH HH IH1 L D R IH0 TH +HILDUM HH IH1 L D AH0 M +HILDY HH IH1 L D IY0 +HILE HH AY1 L +HILEMAN HH AY1 L M AH0 N +HILEMON HH AY1 L M AH0 N +HILEMON'S HH AY1 L M AH0 N Z +HILER HH AY1 L ER0 +HILES HH AY1 L Z +HILEY HH IH1 L IY0 +HILFIGER HH IH1 L F AY0 G ER0 +HILFIGER(2) HH IH1 L F IH0 G ER0 +HILFIKER HH IH1 L F IH0 K ER0 +HILGART HH IH1 L G AA2 R T +HILGEMAN HH IH1 L G M AH0 N +HILGENBERG HH IH1 L G AH0 N B ER0 G +HILGENDORF HH IH1 L G IH0 N D AO0 R F +HILGER HH IH1 L G ER0 +HILGERS HH IH1 L G ER0 Z +HILGERT HH IH1 L G ER0 T +HILINSKI HH IH0 L IH1 N S K IY0 +HILKE HH IH1 L K AH0 +HILKER HH IH1 L K ER0 +HILL HH IH1 L +HILL'S HH IH1 L Z +HILLA HH IH1 L AH0 +HILLARD HH IH1 L ER0 D +HILLARD'S HH IH1 L ER0 D Z +HILLARY HH IH1 L ER0 IY0 +HILLARY'S HH IH1 L ER0 IY0 Z +HILLAS HH IH1 L AH0 S +HILLBILLIES HH IH1 L B IH2 L IY0 Z +HILLBILLY HH IH1 L B IH0 L IY0 +HILLCREST HH IH1 L K R EH0 S T +HILLE HH IH1 L +HILLEARY HH IH1 L ER0 IY0 +HILLEBRAND HH IH1 L IH0 B R AH0 N D +HILLEGAS HH IH1 L IH0 G AH0 Z +HILLEGASS HH IH1 L IH0 G AH0 S +HILLEL HH IH2 L EH1 L +HILLEN HH IH1 L AH0 N +HILLENBRAND HH IH1 L AH0 N B R AE2 N D +HILLENBRAND'S HH IH1 L AH0 N B R AE2 N D Z +HILLENBURG HH IH1 L AH0 N B ER0 G +HILLER HH IH1 L ER0 +HILLERMAN HH IH1 L ER0 M AH0 N +HILLERY HH IH1 L ER0 IY0 +HILLESHEIM HH IH1 L IH0 S HH AY0 M +HILLESTAD HH IH1 L IH0 S T AH0 D +HILLEY HH IH1 L IY0 +HILLHAVEN HH IH1 L HH EY2 V AH0 N +HILLHAVEN'S HH IH1 L HH EY2 V AH0 N Z +HILLHOUSE HH IH1 L HH AW2 S +HILLIAN HH IH1 L Y AH0 N +HILLIANS HH IH1 L Y AH0 N Z +HILLIARD HH IH1 L Y AA0 R D +HILLIER HH IH1 L IY0 ER0 +HILLIGOSS HH IH1 L IH0 G AA0 S +HILLIKER HH IH1 L AY0 K ER0 +HILLIKER(2) HH IH1 L IH0 K ER0 +HILLIN HH IH1 L IH0 N +HILLING HH IH1 L IH0 NG +HILLIS HH IH1 L IH0 S +HILLMAN HH IH1 L M AE2 N +HILLMANN HH IH1 L M AH0 N +HILLMER HH IH1 L M ER0 +HILLOCK HH IH1 L AH0 K +HILLS HH IH1 L Z +HILLS' HH IH1 L Z +HILLSBORO HH IH1 L Z B ER0 OW0 +HILLSBOROUGH HH IH1 L Z B ER0 OW0 +HILLSDALE HH IH1 L Z D EY2 L +HILLSDOWN HH IH1 L Z D AW2 N +HILLSIDE HH IH1 L S AY2 D +HILLSIDES HH IH1 L S AY2 D Z +HILLSMAN HH IH1 L S M AH0 N +HILLSON HH IH1 L S AH0 N +HILLSTROM HH IH1 L S T R AH0 M +HILLTOP HH IH1 L T AA2 P +HILLTOPS HH IH1 L T AA2 P S +HILLY HH IH1 L IY0 +HILLYARD HH IH1 L Y AA2 R D +HILLYER HH IH1 L IY0 ER0 +HILMA HH IH1 L M AH0 +HILMER HH IH1 L M ER0 +HILMES HH IH1 L M Z +HILO HH IY1 L OW0 +HILPERT HH IH1 L P ER0 T +HILSABECK HH IH1 L S AH0 B EH2 K +HILSCHER HH IH1 L SH ER0 +HILSINGER HH IH1 L S IH0 NG ER0 +HILSMAN HH IH1 L Z M AH0 N +HILSON HH IH1 L S AH0 N +HILT HH IH1 L T +HILTNER HH IH1 L T N ER0 +HILTON HH IH1 L T AH0 N +HILTON'S HH IH1 L T AH0 N Z +HILTON-HEAD HH IH1 L T AH0 N HH EH1 D +HILTONS HH IH1 L T AH0 N Z +HILTS HH IH1 L T S +HILTUNEN HH IH1 L T AH0 N AH0 N +HILTY HH IH1 L T IY0 +HILTZ HH IH1 L T S +HILYARD HH AH0 L Y AA1 R D +HILYER HH IH1 L IY0 ER0 +HIM HH IH1 M +HIM(2) IH0 M +HIMALAYA HH IH2 M AH0 L AY1 AH0 +HIMALAYA(2) HH IH2 M AH0 L EY1 AH0 +HIMALAYAN HH IH2 M AH0 L EY1 AH0 N +HIMALAYAN(2) HH IH2 M AH0 L AY1 AH0 N +HIMALAYAS HH IH2 M AH0 L AY1 AH0 S +HIMALAYAS(2) HH IH2 M AH0 L EY1 AH0 S +HIME HH AY1 M +HIMEBAUGH HH IH1 M IH0 B AO0 +HIMEL HH IH1 M AH0 L +HIMES HH AY1 M Z +HIMMEL HH IH1 M AH0 L +HIMMELBERGER HH IH1 M AH0 L B ER0 G ER0 +HIMMELFARB HH IH1 M AH0 L F AA2 R B +HIMMELSBACH HH IH1 M IH0 L S B AA0 K +HIMMELSTEIN HH IH1 M AH0 L S T AY0 N +HIMMELSTEIN(2) HH IH1 M AH0 L S T IY0 N +HIMMLER HH IH1 M L ER0 +HIMONT HH IH1 M AH0 N T +HIMONT(2) HH AY1 M AH0 N T +HIMSELF HH IH0 M S EH1 L F +HINCH HH IH1 N CH +HINCHCLIFF HH IH1 N CH K L IH0 F +HINCHCLIFFE HH IH1 N CH K L IH0 F +HINCHEY HH IH1 N CH IY0 +HINCHLIFFE HH IH1 N K L IH0 F +HINCHMAN HH IH1 NG K M AH0 N +HINCK HH IH1 NG K +HINCKLEY HH IH1 NG K L IY0 +HIND HH AY1 N D +HINDE HH IH1 N D +HINDELONG HH IH1 N D AH0 L AO0 NG +HINDER HH IH1 N D ER0 +HINDERED HH IH1 N D ER0 D +HINDERER HH IH1 N D ER0 ER0 +HINDERING HH IH1 N D ER0 IH0 NG +HINDERLITER HH IH1 N D ER0 L IY0 T ER0 +HINDERMAN HH AY1 N D ER0 M AH0 N +HINDERS HH IH1 N D ER0 Z +HINDES HH IH1 N D Z +HINDI HH IH1 N D IY0 +HINDLE HH IH1 N D AH0 L +HINDLEY HH IH1 N D L IY0 +HINDMAN HH AY1 N D M AH0 N +HINDQUARTER HH AY1 N D K W AO2 R T ER0 +HINDQUARTER(2) HH AY1 N D K AO2 R T ER0 +HINDQUARTERS HH AY1 N D K W AO2 R T ER0 Z +HINDQUARTERS(2) HH AY1 N D K AO2 R T ER0 Z +HINDRANCE HH IH1 N D R AH0 N S +HINDRANCES HH IH1 N D R AH0 N S IH0 Z +HINDS HH AY1 N D Z +HINDSIGHT HH AY1 N D S AY2 T +HINDSIGHT(2) HH AY1 N S AY2 T +HINDSIGHT'S HH AY1 N D S AY2 T S +HINDSIGHT'S(2) HH AY1 N S AY2 T S +HINDU HH IH1 N D UW2 +HINDUISM HH IH1 N JH UW0 IH2 Z AH0 M +HINDUS HH IH1 N D UW2 Z +HINDUSTAN HH IH1 N D UW0 S T AE2 N +HINE HH AY1 N +HINEBAUGH HH IH1 N IH0 B AO0 +HINELINE HH IH1 N IH0 L AY2 N +HINELY HH AY1 N L IY0 +HINEMAN HH AY1 N M AH0 N +HINER HH AY1 N ER0 +HINERMAN HH AY1 N ER0 M AH0 N +HINES HH AY1 N Z +HINESLEY HH IH1 N IH0 S L IY0 +HINESLEY(2) HH AY1 N Z L IY0 +HINEY HH IH1 N IY0 +HING HH IH1 NG +HINGE HH IH1 N JH +HINGED HH IH1 N JH D +HINGER HH IH1 N JH ER0 +HINGES HH IH1 N JH IH0 Z +HINGHAM HH IH1 NG AH0 M +HINGIS HH IH1 NG AH0 S +HINGLE HH IH1 NG G AH0 L +HINGST HH IH1 NG S T +HINGSTON HH IH1 NG S T AH0 N +HINK HH IH1 NG K +HINKEL HH IH1 NG K AH0 L +HINKELMAN HH IH1 NG K AH0 L M AH0 N +HINKLE HH IH1 NG K AH0 L +HINKLEY HH IH1 NG K L IY0 +HINKSON HH IH1 NG K S AH0 N +HINMAN HH IH1 N M AH0 N +HINMEN HH IH1 N M EH0 N +HINN HH IH1 N +HINNANT HH IH1 N AH0 N T +HINNENKAMP HH IH1 N IH0 N K AE0 M P +HINNERS HH IH1 N ER0 Z +HINNY HH IH1 N IY0 +HINO HH IY1 N OW0 +HINOJOS HH IY0 N OW1 Y OW0 Z +HINOJOSA HH IY0 N OW0 JH OW1 S AH0 +HINOTE HH IH0 N OW1 T +HINRICHS HH IH1 N R IH0 K S +HINRICHSEN HH IH1 N R IH0 K S AH0 N +HINSCH HH IH1 N SH +HINSDALE HH IH1 N S D EY2 L +HINSHAW HH IH1 N SH AO2 +HINSLEY HH IH1 N S L IY0 +HINSON HH IH1 N S AH0 N +HINT HH IH1 N T +HINTED HH IH1 N T AH0 D +HINTED(2) HH IH1 N T IH0 D +HINTED(3) HH IH1 N IH0 D +HINTERLAND HH IH1 N T ER0 L AE2 N D +HINTERLANDS HH IH1 N T ER0 L AE2 N D Z +HINTING HH IH1 N T IH0 NG +HINTON HH IH1 N T AH0 N +HINTS HH IH1 N T S +HINTZ HH IH1 N T S +HINTZE HH IH1 N T Z +HINZ HH IH1 N Z +HINZACK HH IH1 N Z AE0 K +HINZE HH IH1 N Z +HINZMAN HH IH1 N Z M AH0 N +HIOTT HH AY1 AH0 T +HIP HH IH1 P +HIP-HOP HH IH1 P HH AO2 P +HIP-POCKET HH IH1 P P AA1 K AH0 T +HIPBONE HH IH1 P B OW1 N +HIPBONES HH IH1 P B OW1 N Z +HIPKINS HH IH1 P K IH0 N Z +HIPOLITO IY1 P OW0 L IY1 T OW0 +HIPP HH IH1 P +HIPPE HH IH1 P +HIPPEN HH IH1 P AH0 N +HIPPENSTEEL HH IH1 P IH0 N S T IY0 L +HIPPER HH IH1 P ER0 +HIPPERT HH IH1 P ER0 T +HIPPEST HH IH1 P AH0 S T +HIPPIE HH IH1 P IY0 +HIPPIES HH IH1 P IY0 Z +HIPPLE HH IH1 P AH0 L +HIPPLER HH IH1 P L ER0 +HIPPO HH IH1 P OW0 +HIPPOCAMPUS HH IH2 P OW0 K AE1 M P AH0 S +HIPPOCRATES HH IH1 P AH0 K R EY2 T S +HIPPOCRATES(2) HH IH0 P AO1 K R AH0 T IY0 Z +HIPPOCRATIC HH IH0 P AH0 K R AE1 T IH0 K +HIPPODROME HH IH1 P AH0 D R OW2 M +HIPPOLYTUS HH AH0 P AA1 L AH0 T AH0 S +HIPPOPOTAMUS HH IH2 P AH0 P AA1 T AH0 M AH0 S +HIPPOPOTAMUSES HH IH2 P AH0 P AA1 T AH0 M AH0 S IH0 Z +HIPPOS HH IH1 P OW0 Z +HIPPS HH IH1 P S +HIPS HH IH1 P S +HIPSHER HH IH1 P SH ER0 +HIPSKIND HH IH1 P S K IH0 N D +HIPSTER HH IH1 P S T ER0 +HIPSTERS HH IH1 P S T ER0 Z +HIPWELL HH IH1 P W EH2 L +HIRABAYASHI HH IH0 R AH0 B AY0 AA1 SH IY0 +HIRADIN HH IH0 R AA1 D IH0 N +HIRAI HH IH0 R AA1 IY0 +HIRAM HH AY1 R AH0 M +HIRANO HH IH0 R AA1 N OW0 +HIRATA HH IH0 R AA1 T AH0 +HIRAYAMA HH IH0 R AA0 Y AA1 M AH0 +HIRD HH ER1 D +HIRE HH AY1 ER0 +HIRE(2) HH AY1 R +HIRED HH AY1 ER0 D +HIRES HH AY1 ER0 Z +HIRES(2) HH AY1 R Z +HIRIART HH IH1 R IY0 AA0 R T +HIRING HH AY1 R IH0 NG +HIRINGS HH AY1 R IH0 NG Z +HIRN HH ER1 N +HIRO HH IH1 R OW0 +HIROAKI HH IH2 R OW0 AA1 K IY0 +HIROHITO HH IH2 R OW0 HH IY1 T OW2 +HIROHITO(2) HH IH2 R AH0 HH IY1 T OW2 +HIROHITO'S HH IH2 R OW0 HH IY1 T OW2 Z +HIROHITO'S(2) HH IH2 R AH0 HH IY1 T OW2 Z +HIROMASA HH IH2 R OW0 M AA1 S AH0 +HIRONS HH AY1 R AH0 N Z +HIROSAKAMOKI HH IH2 R AH0 S AE0 K AH0 M OW1 K IY0 +HIROSAKIMA HH IH2 R AH0 S AH0 K IY1 M AH0 +HIROSE HH IH0 R OW1 S EY0 +HIROSHI HH IH0 R OW1 SH IY0 +HIROSHIMA HH IH2 R OW0 SH IY1 M AH0 +HIROSHIMA(2) HH IH2 R OW1 SH IH0 M AH0 +HIROTA HH IH0 R OW1 T AH0 +HIROYUKI HH IH2 R OW0 Y UW1 K IY0 +HIRSCH HH ER1 SH +HIRSCH'S HH ER1 SH IH0 Z +HIRSCHBERG HH ER1 SH B ER0 G +HIRSCHFELD HH ER1 SH F EH0 L D +HIRSCHFIELD HH ER1 S K F IY0 L D +HIRSCHHORN HH ER1 SH HH ER0 N +HIRSCHI HH IH1 R S K IY0 +HIRSCHMAN HH ER1 SH M AH0 N +HIRSCHMANN HH ER1 SH M AH0 N +HIRSCHY HH ER1 SH IY0 +HIRSH HH ER1 SH +HIRSHBERG HH ER1 SH B ER0 G +HIRSHFIELD HH ER1 SH F IY0 L D +HIRSHHORN HH ER1 SH HH AO2 R N +HIRSHHORN(2) HH ER1 SH AO2 R N +HIRSHMAN HH ER1 SH M AH0 N +HIRST HH ER1 S T +HIRST'S HH ER1 S T S +HIRSUTE HH ER0 S UW1 T +HIRT HH ER1 T +HIRTH HH ER1 TH +HIRTLE HH ER1 T AH0 L +HIRTZ HH ER1 T S +HIRULOG HH IH1 R UW2 L AA2 G +HIRZEL HH ER1 Z AH0 L +HIS HH IH1 Z +HIS(2) HH IH0 Z +HISADA HH IH0 S AA1 D AH0 +HISAO HH IH0 S AA1 OW0 +HISAW HH AY1 S AO0 +HISCOCK HH IH1 S K AH0 K +HISCOX HH IH1 S K AA0 K S +HISE HH AY1 Z +HISEL HH IH1 S AH0 L +HISER HH AY1 Z ER0 +HISEY HH IH1 S IY0 +HISHAM HH IH1 SH AH0 M +HISLE HH AY1 AH0 L +HISLOP HH IH1 S L AH0 P +HISPANIC HH IH0 S P AE1 N IH0 K +HISPANICS HH IH0 S P AE1 N IH0 K S +HISPANIOLA HH IH0 S P AA2 NG OW1 L AH0 +HISPANO HH IH0 S P AA1 N OW0 +HISPANOIL HH IH1 S P AH0 N OY2 L +HISS HH IH1 S +HISS'S HH IH1 S IH0 Z +HISSED HH IH1 S T +HISSELF HH IH2 S EH1 L F +HISSES HH IH1 S IH0 Z +HISSING HH IH1 S IH0 NG +HISSONG HH IH1 S AO2 NG +HISTADRUT HH IH1 S T AH0 D R AH0 T +HISTAMINE HH IH1 S T AH0 M IY2 N +HISTIDINE HH IH1 S T AH0 D IY2 N +HISTOGRAM HH IH1 S T AH0 G R AE2 M +HISTOGRAMS HH IH1 S T AH0 G R AE2 M Z +HISTOLOGY HH IH0 S T AA1 L AH0 JH IY0 +HISTORIAN HH IH0 S T AO1 R IY0 AH0 N +HISTORIANS HH IH0 S T AO1 R IY0 AH0 N Z +HISTORIC HH IH0 S T AO1 R IH0 K +HISTORICAL HH IH0 S T AO1 R IH0 K AH0 L +HISTORICALLY HH IH0 S T AO1 R IH0 K AH0 L IY0 +HISTORICALLY(2) HH IH0 S T AO1 R IH0 K L IY0 +HISTORIES HH IH1 S T ER0 IY0 Z +HISTORIES(2) HH IH1 S T R IY0 Z +HISTORIOGRAPHY HH IH0 S T AO2 R IY0 AA1 G R AH0 F IY0 +HISTORY HH IH1 S T ER0 IY0 +HISTORY(2) HH IH1 S T R IY0 +HISTORY'S HH IH1 S T ER0 IY0 Z +HISTORY'S(2) HH IH1 S T R IY0 Z +HISTRIONIC HH IH2 S T R IY0 AA1 N IH0 K +HISTRIONICS HH IH2 S T R IY0 AA1 N IH0 K S +HIT HH IH1 T +HIT-AND-RUN HH IH1 T AE0 N R AH2 N +HITACHI HH IH0 T AA1 CH IY0 +HITCH HH IH1 CH +HITCHCOCK HH IH1 CH K AA2 K +HITCHCOCK'S HH IH1 CH K AA2 K S +HITCHED HH IH1 CH T +HITCHENS HH IH1 CH AH0 N Z +HITCHES HH IH1 CH IH0 Z +HITCHHIKE HH IH1 CH HH AY2 K +HITCHHIKED HH IH1 CH HH AY2 K T +HITCHHIKER HH IH1 CH HH AY2 K ER0 +HITCHHIKERS HH IH1 CH HH AY2 K ER0 Z +HITCHHIKES HH IH1 CH HH AY2 K S +HITCHHIKING HH IH1 CH HH AY2 K IH0 NG +HITCHING HH IH1 CH IH0 NG +HITCHINGS HH IH1 CH IH0 NG Z +HITCHINS HH IH1 CH IH0 N Z +HITCHMAN HH IH1 CH M AH0 N +HITCHNER HH IH1 CH N ER0 +HITE HH AY1 T +HITES HH AY1 T S +HITHER HH IH1 DH ER0 +HITHERTO HH IH1 DH ER2 T UW1 +HITLER HH IH1 T L ER0 +HITLER'S HH IH1 T L ER0 Z +HITMAN HH IH1 T M AE2 N +HITOSHI HH IH0 T OW1 SH IY0 +HITS HH IH1 T S +HITSCHLER HH IH1 T S L ER0 +HITSCHLER(2) HH IH1 CH L ER0 +HITSMAN HH IH1 T S M AH0 N +HITSON HH IH1 T S AH0 N +HITT HH IH1 T +HITTER HH IH1 T ER0 +HITTER'S HH IH1 T ER0 Z +HITTERS HH IH1 T ER0 Z +HITTING HH IH1 T IH0 NG +HITTITE HH IH1 T AY2 T +HITTLE HH IH1 T AH0 L +HITTNER HH IH1 T N ER0 +HITTY HH IH1 T IY0 +HITZ HH IH1 T S +HITZEMAN HH IH1 T S M AH0 N +HIV EY1 CH AY1 V IY1 # ABBREV +HIVE HH AY1 V +HIVELY HH AY1 V L IY0 +HIVES HH AY1 V Z +HIWAY HH AY1 W EY2 +HIX HH IH1 K S +HIXENBAUGH HH IH0 G Z EH1 N B AO0 +HIXON HH IH1 K S AH0 N +HIXSON HH IH1 K S AH0 N +HIZBOLLAH HH IH0 Z B OW1 L AH0 +HIZER HH AY1 Z ER0 +HJELM HH Y EH1 L M +HJERPE HH Y ER1 P +HJORT HH AH0 Y AO1 R T +HLAD HH L AE1 D +HLADIK HH L AE1 D IH0 K +HLADKY HH L AE1 D K IY0 +HLAVAC HH L AA1 V AH0 K +HLAVACEK HH L AA1 V AH0 CH EH0 K +HLAVATY HH L AH0 V AA1 T IY0 +HM HH M +HMM HH M +HMMM HH M +HMONG M AO1 NG +HMONG(2) HH M AO1 NG +HMONG(3) HH AH0 M AO1 NG +HNAT HH N AE1 T +HO HH OW1 +HO'S HH OW1 Z +HOADLEY HH OW1 D L IY0 +HOAG HH OW1 G +HOAGIE HH OW1 G IY0 +HOAGLAND HH OW1 G L AH0 N D +HOAGLIN HH OW1 G L IH0 N +HOAGLUND HH OW1 G L AH0 N D +HOAGY HH OW1 G IY0 +HOAK HH OW1 K +HOANG HH OW1 NG +HOAR HH AO1 R +HOARD HH AO1 R D +HOARDED HH AO1 R D IH0 D +HOARDING HH AO1 R D IH0 NG +HOARDS HH AO1 R D Z +HOARE HH AO1 R +HOARSE HH AO1 R S +HOARSENESS HH AO1 R S N AH0 S +HOARY HH AO1 R IY0 +HOAX HH OW1 K S +HOAXES HH OW1 K S IH0 Z +HOB HH AA1 B +HOBACK HH OW1 B AE2 K +HOBAN HH OW1 B AH0 N +HOBART HH OW1 B AA2 R T +HOBAUGH HH AA1 B AO0 +HOBBES HH AA1 B IY0 Z +HOBBES(2) HH AA1 B Z +HOBBIE HH AA1 B IY0 +HOBBIES HH AA1 B IY0 Z +HOBBING HH AA1 B IH0 NG +HOBBINS HH AA1 B IH0 N Z +HOBBIT HH AA1 B IH0 T +HOBBITS HH AO1 B IH0 T S +HOBBLE HH AA1 B AH0 L +HOBBLED HH AA1 B AH0 L D +HOBBLES HH AA1 B AH0 L Z +HOBBLING HH AA1 B AH0 L IH0 NG +HOBBLING(2) HH AA1 B L IH0 NG +HOBBS HH AA1 B Z +HOBBY HH AA1 B IY0 +HOBBYIST HH AA1 B IY0 IH0 S T +HOBBYISTS HH AA1 B IY0 IH0 S T S +HOBDAY HH AA1 B D EY2 +HOBDY HH AA1 B D IY0 +HOBEN HH AA1 B AH0 N +HOBERG HH OW1 B ER0 G +HOBERMAN HH OW1 B ER0 M AH0 N +HOBERT HH AA1 B ER0 T +HOBGOOD HH AA1 B G UH2 D +HOBIN HH OW1 B IH0 N +HOBLIT HH AA1 B L IH0 T +HOBNAIL HH AA1 B N EY2 L +HOBNOB HH AA1 B N AA2 B +HOBNOBBING HH AA1 B N AA2 B IH0 NG +HOBO HH OW1 B OW0 +HOBOES HH OW1 B OW0 Z +HOBOKEN HH OW1 B OW0 K AH0 N +HOBS HH AA1 B Z +HOBSBAWM HH AA0 B S B AO1 M +HOBSON HH AA1 B S AH0 N +HOBSON'S HH AA1 B S AH0 N Z +HOC HH AA1 K +HOCEVAR HH OW0 S EY0 V AA1 R +HOCH HH AA1 K +HOCHBERG HH AA1 K B ER0 G +HOCHBRUECKNER HH AA1 K B R AH2 K N ER0 +HOCHENHEIM HH AO1 K AH0 N HH AY2 M +HOCHHALTER HH AA1 K HH AH0 L T ER0 +HOCHHAUSER HH AA1 K HH AW2 Z ER0 +HOCHMAN HH AA1 K M AH0 N +HOCHMUTH HH AA1 K M UW2 TH +HOCHSTATTER HH AA1 K S T AH0 T ER0 +HOCHSTEDLER HH AA1 K S T IH0 D AH0 L ER0 +HOCHSTEDLER(2) HH AA1 K S T EH0 D L ER0 +HOCHSTEIN HH AA1 K S T AY0 N +HOCHSTEIN(2) HH AA1 K S T IY0 N +HOCHSTETLER HH AA1 K S T IH0 T AH0 L ER0 +HOCHSTETLER(2) HH AA1 K S T EH0 T L ER0 +HOCHTIEF HH AA1 K T IY2 F +HOCK HH AA1 K +HOCKADAY HH AA1 K AH0 D EY2 +HOCKBERG HH AA1 K B ER0 G +HOCKENBERRY HH AA1 K AH0 N B EH2 R IY0 +HOCKENBURY HH AA1 K AH0 N B EH2 R IY0 +HOCKENSMITH HH AA1 K AH0 N S M IH2 TH +HOCKER HH AA1 K ER0 +HOCKERSMITH HH AA1 K ER0 S M IH2 TH +HOCKETT HH AA1 K IH0 T +HOCKEY HH AA1 K IY0 +HOCKEY'S HH AA1 K IY0 Z +HOCKIN HH AA1 K IH0 N +HOCKING HH AA1 K IH0 NG +HOCKLEY HH AA1 K L IY0 +HOCKMAN HH AA1 K M AH0 N +HOCKNEY HH AA1 K N IY0 +HOCKNEY'S HH AA1 K N IY0 Z +HOCTOR HH AA1 K T ER0 +HOCUS HH OW1 K AH0 S +HOCUTT HH AA1 K AH0 T +HODAK HH OW1 D AH0 K +HODAPP HH AA1 D AH0 P +HODDE HH AA1 D +HODDER HH AA1 D ER0 +HODDING HH AA1 D IH0 NG +HODDUR HH AA1 D ER0 +HODEL HH OW1 D AH0 L +HODES HH OW1 D Z +HODGDON HH AA1 JH D AH0 N +HODGE HH AA1 JH +HODGE'S HH AA1 JH IH0 Z +HODGEN HH AA1 JH AH0 N +HODGENS HH AA1 JH AH0 N Z +HODGEPODGE HH AA1 JH P AA2 JH +HODGES HH AA1 JH IH0 Z +HODGIN HH AA1 JH IH0 N +HODGINS HH AA1 JH IH0 N Z +HODGKIN HH AA1 JH K IH0 N +HODGKIN'S HH AA1 JH K IH0 N Z +HODGKINS HH AA1 JH K IH0 N Z +HODGKINSON HH AA1 JH K IH0 N S AH0 N +HODGKISS HH AA1 JH K IH0 S +HODGMAN HH AA1 JH M AH0 N +HODGMAN'S HH AA1 JH M AH0 N Z +HODGSON HH AA1 JH S AH0 N +HODKINSON HH AA1 D K IH0 N S AH0 N +HODNETT HH AA1 D N IH0 T +HODO HH OW1 D OW0 +HODSDON HH AA1 D Z D AH0 N +HODSON HH AA1 D S AH0 N +HOE HH OW1 +HOECHST HH OW1 K S T +HOECHST(2) HH OW1 SH T +HOECHST'S HH OW1 K S T S +HOECHST'S(2) HH OW1 SH T S +HOECK HH OW1 K +HOECKER HH OW1 K ER0 +HOEDOWN HH OW1 D AW2 N +HOEFER HH OW1 F ER0 +HOEFFNER HH OW1 F N ER0 +HOEFLE HH OW1 F AH0 L +HOEFLER HH OW1 F AH0 L ER0 +HOEFLER(2) HH OW1 F L ER0 +HOEFLICH HH OW1 F L IH0 K +HOEFLING HH OW1 F AH0 L IH0 NG +HOEFLING(2) HH OW1 F L IH0 NG +HOEFS HH OW1 F S +HOEFT HH OW1 F T +HOEG HH OW1 G +HOEGER HH OW1 G ER0 +HOEHN HH OW1 N +HOEHNE HH OW1 N +HOEING HH OW1 IH0 NG +HOEK HH OW1 K +HOEKSEMA HH OW1 K S IH0 M AH0 +HOEKSTRA HH OW1 K S T R AH0 +HOEL HH OW1 L +HOELL HH OW1 L +HOELLE HH OW1 L +HOELSCHER HH OW1 L SH ER0 +HOELTER HH OW1 L T ER0 +HOELTERHOFF HH OW1 L T ER0 HH AO2 F +HOELTERHOFF'S HH OW1 L T ER0 HH AO2 F S +HOELTING HH OW1 L T IH0 NG +HOELZEL HH OW1 L Z AH0 L +HOELZER HH OW1 L Z ER0 +HOEN HH OW1 N +HOENE HH AA1 IY0 N +HOENER HH OW1 N ER0 +HOENIG HH OW1 N IH0 G +HOEPER HH OW1 P ER0 +HOEPFNER HH OW1 P F N ER0 +HOEPFNER(2) HH OW1 P N ER0 +HOEPNER HH OW1 P N ER0 +HOEPPNER HH OW1 P N ER0 +HOERIG HH AO1 R IH0 G +HOERNER HH AO1 R N ER0 +HOERR HH AO1 R +HOES HH OW1 Z +HOESCH HH OW1 SH +HOESCHEN HH OW1 SH AH0 N +HOESLY HH OW1 S L IY0 +HOEVELER HH OW1 V L ER0 +HOEVET HH OW1 V EH2 T +HOEVET'S HH OW1 V EH2 T S +HOEY HH OW1 IY0 +HOF HH AA1 F +HOFACKER HH AA1 F AH0 K ER0 +HOFBAUER HH AA1 F B AW0 ER0 +HOFER HH OW1 F ER0 +HOFF HH AO1 F +HOFFA HH AO1 F AH0 +HOFFA'S HH AO1 F AH0 Z +HOFFACKER HH AO1 F AH0 K ER0 +HOFFART HH AO1 F AA0 R T +HOFFARTH HH AO1 F AA0 R TH +HOFFECKER HH AO1 F IH0 K ER0 +HOFFENBERG HH AO1 F AH0 N B ER0 G +HOFFENBERG'S HH AA1 F AH0 N B ER0 G Z +HOFFER HH AA1 F ER0 +HOFFERBER HH AO1 F ER0 B ER0 +HOFFERT HH AO1 F ER0 T +HOFFITZ HH AA1 F IH0 T S +HOFFLER HH AO1 F AH0 L ER0 +HOFFLER(2) HH AO1 F L ER0 +HOFFMAN HH AO1 F M AH0 N +HOFFMAN'S HH AO1 F M AH0 N Z +HOFFMANN HH AO1 F M AH0 N +HOFFMASTER HH AO1 F M AE2 S T ER0 +HOFFMEIER HH AO1 F M AY0 ER0 +HOFFMEISTER HH AO1 F M AY2 S T ER0 +HOFFMEYER HH AO1 F M AY0 ER0 +HOFFNER HH AO1 F N ER0 +HOFFPAUIR HH AO1 F P AW0 ER0 +HOFI HH OW1 F IY0 +HOFLAND HH AA1 F L AH0 N D +HOFLER HH AA1 F L ER0 +HOFMAN HH AA1 F M AH0 N +HOFMANN HH AA1 F M AH0 N +HOFMEISTER HH AA1 F M AY0 S T ER0 +HOFRICHTER HH AA1 F R IH0 K T ER0 +HOFSTAD HH AA1 F S T AE0 D +HOFSTETTER HH AA1 F S T EH0 T ER0 +HOFSTRA HH AA1 F S T R AH0 +HOG HH AA1 G +HOGAN HH OW1 G AA2 N +HOGAN(2) HH OW1 G AH0 N +HOGAN'S HH OW1 G AA2 N Z +HOGANS HH OW1 G AA2 N Z +HOGANS(2) HH OW1 G AH0 N Z +HOGANSON HH AA1 G AH0 N S AH0 N +HOGARTH HH OW1 G AA2 R TH +HOGARTY HH AA1 G AA2 R T IY0 +HOGBERG HH AA1 G B ER0 G +HOGE HH OW1 JH +HOGELAND HH AA1 G IH0 L AH0 N D +HOGELAND(2) HH OW1 G L AH0 N D +HOGEN HH AA1 G AH0 N +HOGENSON HH AA1 JH IH0 N S AH0 N +HOGER HH OW1 G ER0 +HOGG HH AA1 G +HOGGAN HH AA1 G AH0 N +HOGGARD HH AA1 G ER0 D +HOGGART HH AA1 G ER0 T +HOGGATT HH AA1 G AH0 T +HOGGE HH AA1 G +HOGGING HH AO1 G IH0 NG +HOGLAND HH AA1 G L AH0 N D +HOGLE HH OW1 G AH0 L +HOGLUND HH AO1 G L AH0 N D +HOGLUND'S HH AO1 G L AH0 N D Z +HOGLUNDS HH AO1 G L AH0 N D Z +HOGNOSE HH AA1 G N OW2 Z +HOGREFE HH AA1 G R IH0 F +HOGS HH AA1 G Z +HOGSED HH OW1 G S T +HOGSETT HH AA1 G S IH0 T +HOGSTON HH AA1 G S T AH0 N +HOGUE HH OW1 G +HOGWARTS HH AA1 G W AO2 R T S +HOGWASH HH AA1 G W AA2 SH +HOGWOOD HH AO1 G W UH2 D +HOH HH OW1 +HOHEISEL HH OW1 AY0 S AH0 L +HOHENBERGER HH OW1 AH0 N B ER0 G ER0 +HOHENSEE HH AA0 HH IH0 N S IY1 +HOHENSTEIN HH OW1 AH0 N S T AY0 N +HOHENSTEIN(2) HH OW1 AH0 N S T IY0 N +HOHL HH OW1 L +HOHLER HH OW1 L ER0 +HOHLT HH OW1 L T +HOHMAN HH OW1 M AH0 N +HOHMANN HH OW1 M AH0 N +HOHN HH AA1 N +HOHNER HH OW1 N ER0 +HOHNSTEIN HH OW1 N S T AY0 N +HOHNSTEIN(2) HH OW1 N S T IY0 N +HOHO HH OW1 HH OW1 +HOHORST HH OW1 HH AO2 R S T +HOHOS HH OW1 HH OW1 Z +HOHUM HH OW1 HH AH1 M +HOI HH OY1 +HOILAND HH OY0 L AE1 N D +HOILMAN HH OY1 L M AH0 N +HOISINGTON HH OY1 Z IH0 NG T AH0 N +HOIST HH OY1 S T +HOISTED HH OY1 S T AH0 D +HOISTED(2) HH OY1 S T IH0 D +HOISTING HH OY1 S T IH0 NG +HOISTS HH OY1 S T S +HOIT HH OY1 T +HOITY HH OY1 T IY0 +HOIUM HH AA1 IY0 AH0 M +HOJNACKI HH AH0 Y N AA1 T S K IY0 +HOK HH AO1 K +HOKANSON HH AA1 K AH0 N S AH0 N +HOKE HH OW1 K +HOKENSON HH AA1 K IH0 N S AH0 N +HOKEY HH OW1 K IY0 +HOKKAIDO HH OW0 K AY1 D OW0 +HOKUM HH OW1 K AH0 M +HOKURIKU HH AA2 K ER0 IY1 K UW2 +HOLA HH OW1 L AH0 +HOLADAY HH OW1 L AH0 D EY0 +HOLAHAN HH AA1 L AH0 HH AE0 N +HOLAN HH OW1 L AH0 N +HOLAWAY HH OW1 L AH0 W EY0 +HOLBEIN HH OW1 L B AY0 N +HOLBEN HH OW1 L B AH0 N +HOLBERG HH OW1 L B ER0 G +HOLBERT HH OW1 L B ER0 T +HOLBROOK HH OW1 L B R UH2 K +HOLBROOKE HH OW1 L B R UH0 K +HOLBROOKE'S HH OW1 L B R UH0 K S +HOLBROOKS HH OW1 L B R UH0 K S +HOLCK HH OW1 L K +HOLCOMB HH OW1 L K AH0 M +HOLCOMBE HH OW1 L K AH0 M +HOLD HH OW1 L D +HOLDA HH OW1 L D AH0 +HOLDAWAY HH OW1 L D AH0 W EY2 +HOLDE HH OW1 L D +HOLDEMAN HH OW1 L D M AH0 N +HOLDEN HH OW1 L D AH0 N +HOLDEN'S HH OW1 L D AH0 N Z +HOLDER HH OW1 L D ER0 +HOLDER'S HH OW1 L D ER0 Z +HOLDERBANK HH OW1 L D ER0 B AE2 NG K +HOLDERBAUM HH OW1 L D ER0 B AW0 M +HOLDERBY HH OW1 L D ER0 B IY0 +HOLDERFIELD HH OW1 L D ER0 F IY2 L D +HOLDERMAN HH OW1 L D ER0 M AH0 N +HOLDERNESS HH OW1 L D ER0 N AH0 S +HOLDERS HH OW1 L D ER0 Z +HOLDERS' HH OW1 L D ER0 Z +HOLDFAST HH OW1 L F AE2 S T +HOLDING HH OW1 L D IH0 NG +HOLDING'S HH OW1 L D IH0 NG Z +HOLDINGS HH OW1 L D IH0 NG Z +HOLDINGS' HH OW1 L D IH0 NG Z +HOLDMAN HH OW1 L D M AH0 N +HOLDORF HH OW1 L D AO0 R F +HOLDOUT HH OW1 L D AW2 T +HOLDOUTS HH OW1 L D AW2 T S +HOLDOVER HH OW1 L D OW2 V ER0 +HOLDOVERS HH OW1 L D OW2 V ER0 Z +HOLDREN HH OW1 L D ER0 AH0 N +HOLDRIDGE HH OW1 L D R IH0 JH +HOLDS HH OW1 L D Z +HOLDSWORTH HH OW1 L D Z W ER2 TH +HOLDUP HH OW1 L D AH2 P +HOLDUPS HH OW1 L D AH2 P S +HOLE HH OW1 L +HOLECEK HH AA1 L IH0 CH EH0 K +HOLED HH OW1 L D +HOLEMAN HH OW1 L M AH0 N +HOLEN HH OW1 L AH0 N +HOLES HH OW1 L Z +HOLEWINSKI HH AH0 L UW0 IH1 N S K IY0 +HOLFORD HH OW1 L F ER0 D +HOLGATE HH OW1 L G EY2 T +HOLGERSON HH OW1 L G ER0 S AH0 N +HOLGUIN HH OW1 L G IH0 N +HOLIAN HH OW1 L IY0 AH0 N +HOLICK HH AA1 L IH0 K +HOLIDAY HH AA1 L AH0 D EY2 +HOLIDAY(2) HH AA1 L IH0 D EY2 +HOLIDAY'S HH AA1 L AH0 D EY2 Z +HOLIDAYS HH AA1 L AH0 D EY2 Z +HOLIDAYSBURG HH AA1 L AH0 D EY2 Z B ER0 G +HOLIEN HH OW1 L IY0 AH0 N +HOLIER HH OW1 L IY0 ER0 +HOLIEST HH OW1 L IY0 IH0 S T +HOLIFIELD HH AA1 L IH0 F IY2 L D +HOLIHAN HH AA1 L IH0 HH AE0 N +HOLIK HH OW1 L IH0 K +HOLIMAN HH AA1 L IH0 M AH0 N +HOLINESS HH OW1 L IY0 N AH0 S +HOLING HH OW1 L IH0 NG +HOLISTIC HH OW0 L IH1 S T IH0 K +HOLL HH AA1 L +HOLLABAUGH HH AA1 L AH0 B AO2 +HOLLADAY HH AA1 L AH0 D EY2 +HOLLAN HH AA1 L AH0 N +HOLLAND HH AA1 L AH0 N D +HOLLAND'S HH AA1 L AH0 N D Z +HOLLANDER HH AA1 L AH0 N D ER0 +HOLLANDERS HH AA1 L AH0 N D ER0 Z +HOLLANDS HH AA1 L AH0 N D Z +HOLLANDSWORTH HH AA1 L AH0 N D Z W ER2 TH +HOLLAR HH AA1 L ER0 +HOLLARS HH AA1 L ER0 Z +HOLLATZ HH AA1 L AH0 T S +HOLLAWAY HH AA1 L AH0 W EY0 +HOLLE HH AA1 L +HOLLEMAN HH OW1 L M AH0 N +HOLLEN HH AA1 L AH0 N +HOLLENBACH HH AA1 L IH0 N B AA0 K +HOLLENBACK HH AA1 L AH0 N B AE2 K +HOLLENBAUGH HH AH0 L EH1 N B AO0 +HOLLENBECK HH AA1 L AH0 N B EH2 K +HOLLENBERG HH AA1 L AH0 N B ER0 G +HOLLENDER HH AA1 L EH0 N D ER0 +HOLLENKAMP HH AA1 L IH0 N K AE0 M P +HOLLER HH AA1 L ER0 +HOLLERAN HH AA1 L ER0 AH0 N +HOLLERBACH HH AA1 L ER0 B AA2 K +HOLLERED HH AA1 L ER0 D +HOLLERING HH AA1 L ER0 IH0 NG +HOLLERN HH AA1 L ER0 N +HOLLERS HH AA1 L ER0 Z +HOLLETT HH AA1 L IH0 T +HOLLEY HH AA1 L IY0 +HOLLIBAUGH HH AA1 L IH0 B AO2 +HOLLICK HH AA1 L IH0 K +HOLLIDAY HH AA1 L IH0 D EY2 +HOLLIDAY'S HH AA1 L IH0 D EY2 Z +HOLLIE HH AA1 L IY0 +HOLLIER HH AO1 L IY0 ER0 +HOLLIES HH AA1 L IY0 Z +HOLLIFIELD HH AA1 L IH0 F IY2 L D +HOLLIMAN HH AA1 L IH0 M AH0 N +HOLLIMAN'S HH AA1 L IH0 M AH0 N Z +HOLLIMON HH AA1 L IH0 M AH0 N +HOLLIN HH AA1 L IH0 N +HOLLING HH AA1 L IH0 NG +HOLLINGER HH AA1 L IH0 NG ER0 +HOLLINGS HH AA1 L IH0 NG Z +HOLLINGS(2) HH AA1 L IH0 NG G Z +HOLLINGSHEAD HH AA1 L IH0 NG Z HH EH2 D +HOLLINGSWORTH HH AA1 L IH0 NG Z W ER2 TH +HOLLINGWORTH HH AA1 L IH0 NG G W ER2 TH +HOLLINS HH AA1 L IH0 N Z +HOLLINSHEAD HH AA1 L IH0 N S HH EH2 D +HOLLINSHEAD(2) HH AA1 L IH0 N Z HH EH2 D +HOLLINSWORTH HH AA1 L IH0 N S W ER2 TH +HOLLINSWORTH(2) HH AA1 L IH0 N Z W ER2 TH +HOLLIS HH AA1 L IH0 S +HOLLISTER HH AA1 L IH0 S T ER0 +HOLLISTON HH AA1 L IH0 S T AH0 N +HOLLMAN HH AA1 L M AH0 N +HOLLMANN HH AA1 L M AH0 N +HOLLO HH AA1 L OW2 +HOLLOBAUGH HH AA1 L AH0 B AO0 +HOLLOM HH AO1 L AH0 M +HOLLOMAN HH AA1 L OW0 M AH0 N +HOLLOMON HH AA1 L AH0 M AA0 N +HOLLON HH AA1 L AH0 N +HOLLOPETER HH AA1 L AH0 P IY0 T ER0 +HOLLORAN HH AA1 L ER0 AH0 N +HOLLOW HH AA1 L OW0 +HOLLOW'S HH AA1 L OW0 Z +HOLLOWAY HH AA1 L OW0 W EY2 +HOLLOWED HH AA1 L OW0 D +HOLLOWELL HH AA1 L AH0 W EH0 L +HOLLOWING HH AA1 L OW0 IH0 NG +HOLLOWS HH AA1 L OW0 Z +HOLLSTEIN HH AA1 L S T AY0 N +HOLLSTEIN(2) HH AA1 L S T IY0 N +HOLLY HH AA1 L IY0 +HOLLY'S HH AA1 L IY0 Z +HOLLYFIELD HH AA1 L IH0 F IY2 L D +HOLLYFIELD(2) HH AA1 L IY0 F IY2 L D +HOLLYHEAD HH AO1 L IY0 HH EH2 D +HOLLYHOCK HH AA1 L IY0 HH AA2 K +HOLLYHOCKS HH AA1 L IY0 HH AA2 K S +HOLLYWOOD HH AA1 L IY0 W UH2 D +HOLLYWOOD'S HH AA1 L IY0 W UH2 D Z +HOLM HH OW1 M +HOLMAN HH AA1 L M AH0 N +HOLMBERG HH OW1 L M B ER0 G +HOLMDALE HH OW1 L M D EY2 L +HOLME HH OW1 L M 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AH0 D +HOLSTE HH OW1 L S T +HOLSTEAD HH OW1 L S T EH2 D +HOLSTEIN HH OW1 L S T IY2 N +HOLSTEN HH OW1 L S AH0 N +HOLSTER HH OW1 L S T ER0 +HOLSTINE HH OW1 L S T AY2 N +HOLSTON HH OW1 L S T AH0 N +HOLSTROM HH OW1 L S T R AH0 M +HOLSWORTH HH OW1 L S W ER0 TH +HOLT HH OW1 L T +HOLT'S HH OW1 L T S +HOLTAN HH OW1 L T AH0 N +HOLTE HH OW1 L T +HOLTEN HH OW1 L T AH0 N +HOLTER HH OW1 L T ER0 +HOLTERMAN HH OW1 L T ER0 M AH0 N +HOLTHAUS HH OW1 L T HH AW2 S +HOLTHUS HH OW1 L TH AH0 S +HOLTKAMP HH OW1 L T K AE2 M P +HOLTMAN HH OW1 L T M AH0 N +HOLTMANN HH OW1 L T M AH0 N +HOLTON HH OW1 L T AH0 N +HOLTORF HH OW1 L T ER0 F +HOLTROP HH OW1 L T R AH0 P +HOLTRY HH OW1 L T R IY0 +HOLTS HH OW1 L T S +HOLTSCLAW HH OW1 L T S K L AO2 +HOLTZ HH OW1 L T S +HOLTZ'S HH OW1 L T S IH0 Z +HOLTZAPPLE HH OW1 L T Z AH0 P AH0 L +HOLTZCLAW HH OW1 L T S K L AO0 +HOLTZER HH OW1 L T Z ER0 +HOLTZINGER HH OW1 L T Z IH0 NG ER0 +HOLTZMAN HH OW1 L T S M AH0 N +HOLUB HH OW1 L AH0 B +HOLUM HH OW1 L AH0 M +HOLVEN HH AO1 L V EH0 N 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HH OW1 M S T EH2 D IH0 D +HOMESTEADER HH OW1 M S T EH0 D ER0 +HOMESTEADERS HH OW1 M S T EH0 D ER0 Z +HOMESTEADS HH OW1 M S T EH2 D Z +HOMESTRETCH HH OW1 M S T R EH2 CH +HOMETOWN HH OW1 M T AW2 N +HOMETOWNS HH OW1 M T AW2 N Z +HOMEWARD HH OW1 M W ER0 D +HOMEWOOD HH OW1 M W UH2 D +HOMEWORK HH OW1 M W ER2 K +HOMEWORKER HH OW1 M W ER2 K ER0 +HOMEWORKERS HH OW1 M W ER2 K ER0 Z +HOMEWORLD HH OW1 M W ER2 L D +HOMEY HH OW1 M IY0 +HOMEYER HH OW1 M IY0 ER0 +HOMICIDAL HH AA2 M AH0 S AY1 D AH0 L +HOMICIDE HH AA1 M AH0 S AY2 D +HOMICIDES HH AA1 M AH0 S AY2 D Z +HOMILETIC HH AA2 M AH0 L EH1 T IH0 K +HOMILIES HH OW1 M AH0 L IY0 Z +HOMILY HH AA1 M AH0 L IY0 +HOMINEM HH AA1 M IH0 N EH0 M +HOMING HH OW1 M IH0 NG +HOMINID HH AA1 M AH0 N IH0 D +HOMINY HH AA1 M IH0 N IY0 +HOMME HH AA1 M +HOMMEL HH AA1 M AH0 L +HOMMES HH AA1 M Z +HOMO HH OW1 M OW0 +HOMO-ERECTUS HH OW1 M OW0 IH0 R EH1 K T AH0 S +HOMOGENEITY HH AA2 M AH0 JH AH0 N IY1 AH0 T IY0 +HOMOGENEOUS HH OW2 M AH0 JH IY1 N IY0 AH0 S +HOMOGENIZATION HH 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ER0 Z +HOOKERS HH UH1 K ER0 Z +HOOKING HH UH1 K IH0 NG +HOOKS HH UH1 K S +HOOKUP HH UH1 K AH2 P +HOOKUPS HH UH1 K AH2 P S +HOOKWORM HH UH1 K W ER0 M +HOOKWORMS HH UH1 K W ER0 M Z +HOOKY HH UH1 K IY0 +HOOLE HH UW1 L +HOOLEY HH UW1 L IY0 +HOOLIGAN HH UW1 L IH0 G AH0 N +HOOLIGANISM HH UW1 L IH0 G AH0 N IH2 Z AH0 M +HOOLIGANS HH UW1 L IH0 G AH0 N Z +HOOLIHAN HH UW1 L IH0 HH AE0 N +HOOLIHAN'S HH UW1 L IH0 HH AE0 N Z +HOON HH UW1 N +HOONAH HH UW1 N AH0 +HOOP HH UW1 P +HOOPER HH UW1 P ER0 +HOOPERMAN HH UW1 P ER0 M AH0 N +HOOPES HH UW1 P S +HOOPINGARNER HH UW0 P IH1 NG G AA0 R N ER0 +HOOPLA HH UW1 P L AA2 +HOOPOE HH UW1 P UW2 +HOOPS HH UW1 P S +HOORAY HH UH0 R EY1 +HOOS HH UW1 Z +HOOSE HH UW1 S +HOOSER HH UW1 Z ER0 +HOOSIER HH UW1 ZH ER0 +HOOSIERS HH UW1 Z Y ER0 Z +HOOT HH UW1 T +HOOTED HH UW1 T IH0 D +HOOTEN HH UW1 T AH0 N +HOOTER HH UW1 T ER0 +HOOTERS HH UW1 T ER0 Z +HOOTIE HH UW1 T IY0 +HOOTMAN HH UW1 T M AH0 N +HOOTON HH UW1 T AH0 N +HOOTS HH UW1 T S +HOOVEN HH UW1 V AH0 N +HOOVER HH UW1 V 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M AH0 N +HOPP HH AA1 P +HOPPA HH AA1 P AH0 +HOPPE HH AA1 P +HOPPED HH AA1 P T +HOPPEL HH AA1 P AH0 L +HOPPER HH AA1 P ER0 +HOPPER'S HH AA1 P ER0 Z +HOPPERS HH AA1 P ER0 Z +HOPPERT HH AA1 P ER0 T +HOPPES HH AA1 P S +HOPPING HH AA1 P IH0 NG +HOPPLE HH AA1 P AH0 L +HOPPS HH AA1 P S +HOPPY HH AO1 P IY0 +HOPS HH AA1 P S +HOPSCOTCH HH AA1 P S K AA2 CH +HOPSCOTCHED HH AA1 P S K AA2 CH T +HOPSON HH AA1 P S AH0 N +HOPTON HH AA1 P T AH0 N +HOPWOOD HH AA1 P W UH2 D +HORA HH AO1 R AH0 +HORACE HH AO1 R AH0 S +HORACE(2) HH AO1 R IH0 S +HORACE'S HH AO1 R AH0 S AH0 Z +HORACEK HH AO1 R AH0 CH EH0 K +HORACIA HH AO0 R AA1 S IY0 AH0 +HORACIO HH AO0 R EY1 S IY0 OW0 +HORAK HH AO1 R AH0 K +HORAN HH AO1 R AH0 N +HORATIA HH AO0 R AA1 SH AH0 +HORATIAN HH ER0 EY1 SH AH0 N +HORATIO HH ER0 EY1 SH OW0 +HORATIO'S HH AO0 R EY1 SH IY0 OW0 Z +HORATIUS HH AO0 R EY1 SH AH0 S +HORCH HH AO1 R K +HORCHOW HH AO1 R CH OW0 +HORD HH AO1 R D +HORDE HH AO1 R D +HORDES HH AO1 R D Z +HOREHOUND HH AA1 R HH AW2 N D +HOREJSI HH AO0 R EY1 Y S IY0 +HORELICK HH AO1 R AH0 L IH0 K +HOREN HH AO1 R AH0 N +HORENSTEIN HH AO1 R AH0 N S T AY0 N +HORENSTEIN(2) HH AO1 R AH0 N S T IY0 N +HORGAN HH AO1 R G AH0 N +HORGAVITT HH AO1 R G AH0 V IH2 T +HORGER HH AO1 R G ER0 +HORI HH AO1 R IY0 +HORIGUCHI HH AO2 R IH0 G UW1 CH IY0 +HORINE HH AO1 R IY0 N +HORIUCHI HH AO0 R IY0 UW1 CH IY0 +HORIZON HH ER0 AY1 Z AH0 N +HORIZON'S HH ER0 AY1 Z AH0 N Z +HORIZONS HH ER0 AY1 Z AH0 N Z +HORIZONTAL HH AO2 R AH0 Z AA1 N T AH0 L +HORIZONTALLY HH AO2 R IH0 Z AA1 N T AH0 L IY0 +HORIZONTALLY(2) HH AO0 R IH0 Z AO1 N AH0 L IY0 +HORKEY HH AO1 R K IY0 +HORKY HH AO1 R K IY0 +HORLACHER HH AO1 R L AH0 K ER0 +HORLICK HH AO1 R L IH0 K +HORMAN HH AO1 R M AH0 N +HORMANN HH AO1 R M AH0 N +HORMATS HH AO1 R M AE0 T S +HORMEL HH AO0 R M EH1 L +HORMONAL HH AO1 R M OW2 N AH0 L +HORMONE HH AO1 R M OW2 N +HORMONES HH AO1 R M OW2 N Z +HORMUZ HH AO1 R M UW0 Z +HORN HH AO1 R N +HORN'S HH AO1 R N Z +HORNACK HH AO1 R N AH0 K +HORNADAY HH AO1 R N AH0 D EY2 +HORNAK HH AO1 R N AH0 K +HORNBACK HH AO1 R N B AE2 K +HORNBAKER HH AO1 R N B AH0 K ER0 +HORNBEAK HH AO1 R N B AH0 K +HORNBECK HH AO1 R N B EH2 K +HORNBERGER HH AO1 R N B ER0 G ER0 +HORNBILL HH AO1 R N B IH2 L +HORNBILLS HH AO1 R N B IH2 L Z +HORNBLENDE HH AO1 R N B L EH2 N D +HORNBLOWER HH AO1 R N B L OW2 ER0 +HORNBOOK HH AO1 R N B UH2 K +HORNBOSTEL HH AO1 R N B AH0 S T AH0 L +HORNBOSTEL(2) HH AO1 R N B AH0 S AH0 L +HORNBROOK HH AO1 R N B R UH2 K +HORNBUCKLE HH AO1 R N B AH0 K AH0 L +HORNBURG HH AO1 R N B ER0 G +HORNBY HH AO1 R N B IY0 +HORNE HH AO1 R N +HORNED HH AO1 R N D +HORNELL HH AO2 R N EH1 L +HORNER HH AO1 R N ER0 +HORNERE HH AO1 R N ER0 +HORNET HH AO1 R N IH0 T +HORNET'S HH AO1 R N AH0 T S +HORNETS HH AO1 R N AH0 T S +HORNEY HH AO1 R N IY0 +HORNICK HH AO1 R N IH0 K +HORNIG HH AO1 R N IH0 G +HORNIK HH AO1 R N IH0 K +HORNING HH AO1 R N IH0 NG +HORNLESS HH AO1 R N L AH0 S +HORNLIKE HH AO1 R N L AY2 K +HORNOR HH AO1 R N ER0 +HORNPIPE HH AO1 R N P AY0 P +HORNS HH AO1 R N Z +HORNSBY HH AO1 R N Z B IY0 +HORNSTEIN HH AO1 R N S T AY2 N +HORNSTEIN(2) HH AO1 R N S T IY2 N +HORNUNG HH AO1 R N AH0 NG +HORNY HH AO1 R N IY0 +HORNYAK HH AO1 R N Y AE0 K +HOROSCOPE HH AO1 R AH0 S K OW2 P +HOROSCOPES HH AO1 R AH0 S K OW2 P S +HOROVITZ HH AA1 R AH0 V IH0 T S +HOROWITZ HH AO1 R OW0 IH0 T S +HORR HH AO1 R +HORRELL HH AO1 R AH0 L +HORRENDOUS HH AO2 R EH1 N D AH0 S +HORRENDOUSLY HH AO2 R EH1 N D AH0 S L IY0 +HORRIBLE HH AO1 R AH0 B AH0 L +HORRIBLY HH AO1 R AH0 B L IY0 +HORRID HH AO1 R AH0 D +HORRIFIC HH AO0 R IH1 F IH0 K +HORRIFIED HH AO1 R AH0 F AY2 D +HORRIFY HH AO1 R AH0 F AY2 +HORRIFYING HH AO1 R AH0 F AY2 IH0 NG +HORRIGAN HH AO1 R AH0 G AH0 N +HORROCKS HH AO1 R AH0 K S +HORROR HH AO1 R ER0 +HORRORS HH AO1 R ER0 Z +HORS HH AO1 R Z +HORS(2) AO2 R +HORS-D-OEUVRE AO2 R D ER1 V +HORSCH HH AO1 R SH +HORSE HH AO1 R S +HORSE'S HH AO1 R S AH0 Z +HORSEBACK HH AO1 R S B AE2 K +HORSED HH AO1 R S T +HORSEFLESH HH AO1 R S F L EH2 SH +HORSEHEAD HH AO1 R S HH EH2 D +HORSELY HH AO1 R S L IY0 +HORSEMAN HH AO1 R S M AH0 N +HORSEMANSHIP HH AO1 R S M AH0 N SH IH0 P +HORSEMEN HH AO1 R S M AH0 N +HORSEPLAY HH AO1 R S P L EY2 +HORSEPOWER HH AO1 R S P AW2 ER0 +HORSERADISH HH AO1 R S R AE2 D IH0 SH +HORSES HH AO1 R S AH0 Z +HORSES(2) HH AO1 R S IH0 Z +HORSES' HH AO1 R S IH0 Z +HORSESHIT HH AO1 R S SH IH2 T +HORSESHOE HH AO1 R S SH UW2 +HORSESHOES HH AO1 R S SH UW2 Z +HORSETAIL HH AO1 R S T EY2 L +HORSETAILS HH AO1 R S T EY2 L Z +HORSEY HH AO1 R S IY0 +HORSFALL HH AO1 R S F AH0 L +HORSHAM HH AO1 R SH AH0 M +HORSHAM'S HH AO1 R SH AH0 M Z +HORSING HH AO1 R S IH0 NG +HORSLEY HH AO1 R S L IY0 +HORSMAN HH AO1 R S M AH0 N +HORST HH AO1 R S T +HORSTMAN HH AO1 R S T M AH0 N +HORSTMANN HH AO1 R S T M AH0 N +HORTA HH AO1 R T AH0 +HORTEN HH AO1 R T AH0 N +HORTER HH AO1 R T ER0 +HORTICULTURAL HH AO2 R T AH0 K AH1 L CH ER0 AH0 L +HORTICULTURE HH AO1 R T IH0 K AH2 L CH ER0 +HORTICULTURIST HH AO2 R T IH0 K AH1 L CH ER0 IH0 S T +HORTMAN HH AO1 R T M AH0 N +HORTON HH AO1 R T AH0 N +HORUS HH AO1 R AH0 S +HORVAC HH AO1 R V AE0 K +HORVAC'S HH AO1 R V AE0 K S +HORVAT HH AO1 R V AH0 T +HORVATH HH AO1 R V AE0 TH +HORVATH'S HH AO1 R V AE0 TH S +HORVITZ HH AO1 R V IH0 T S +HORWATH HH AO1 R W AO0 TH +HORWICH HH AO1 R W IH0 K +HORWITZ HH AO1 R W IH0 T S +HOSACK HH AA1 S AH0 K +HOSAKAWA HH OW0 S AH0 K AA1 W AH0 +HOSCH HH AO1 SH +HOSE HH OW1 Z +HOSEA HH OW0 S IY1 AH0 +HOSEA(2) HH OW0 Z EY1 AH0 +HOSEA'S HH OW0 Z IY1 AH0 Z +HOSEA'S(2) HH OW0 Z EY1 AH0 Z +HOSED HH OW1 Z D +HOSEK HH OW1 S EH0 K +HOSELTON HH AH0 S EH1 L T AH0 N +HOSES HH OW1 Z IH0 Z +HOSEY HH OW1 Z IY0 +HOSFORD HH AA1 S F ER0 D +HOSHAW HH AA1 SH AO0 +HOSHIMOTO HH OW0 SH IY0 M OW1 T OW0 +HOSICK HH AA1 S IH0 K +HOSIE HH OW1 Z IY0 +HOSIERY HH OW1 ZH ER0 IY0 +HOSING HH OW1 Z IH0 NG +HOSKIN HH AA1 S K IH0 N +HOSKING HH AA1 S K IH0 NG +HOSKINS HH AA1 S K IH0 N Z +HOSKINSON HH AA1 S K IH0 N S AH0 N +HOSKYNS HH AO1 S K IH0 N Z +HOSLER HH AA1 S AH0 L ER0 +HOSLER(2) HH AA1 S L ER0 +HOSLEY HH AA1 S L IY0 +HOSMAN HH AA1 S M AH0 N +HOSNER HH AA1 S N ER0 +HOSNI HH OW1 Z N IY0 +HOSNI(2) HH AO1 S N IY0 +HOSOKA HH OW2 S AA1 K AH0 +HOSOKA'S HH OW2 S AA1 K AH0 Z +HOSOKAWA HH OW2 S AH0 K AA1 W AH0 +HOSOKAWA'S HH OW2 S AH0 K AA1 W AH0 Z +HOSPICE HH AA1 S P AH0 S +HOSPICE'S HH AA1 S P AH0 S IH0 Z +HOSPICES HH AA1 S P AH0 S IH0 Z +HOSPITABLE HH AA1 S P IH1 T AH0 B AH0 L +HOSPITAL HH AA1 S P IH2 T AH0 L +HOSPITAL'S HH AA1 S P IH2 T AH0 L Z +HOSPITALITY HH AA2 S P AH0 T AE1 L AH0 T IY0 +HOSPITALIZATION HH AA2 S P IH0 T AH0 L AH0 Z EY1 SH AH0 N +HOSPITALIZATIONS HH AA2 S P IH0 T AH0 L AH0 Z EY1 SH AH0 N Z +HOSPITALIZE HH AO1 S P IH2 T AH0 L AY2 Z +HOSPITALIZED HH AA1 S P IH0 T AH0 L AY2 Z D +HOSPITALS HH AA1 S P IH2 T AH0 L Z +HOSPITALS' HH AO1 S P IH0 T AH0 L Z +HOSS HH AA1 S +HOSSACK HH AA1 S AH0 K +HOSSAIN HH AH0 S EY1 N +HOSSEIN HH AO1 S EY2 N +HOSSEINI HH OW0 S EY0 IY1 N IY0 +HOSSLER HH AA1 S AH0 L ER0 +HOSSLER(2) HH AA1 S L ER0 +HOST HH OW1 S T +HOST'S HH OW1 S T S +HOSTAGE HH AA1 S T IH0 JH +HOSTAGES HH AA1 S T AH0 JH AH0 Z +HOSTAGES' HH AO1 S T IH0 JH IH0 Z +HOSTED HH OW1 S T IH0 D +HOSTEL HH AA1 S T AH0 L +HOSTELS HH AA1 S T AH0 L Z +HOSTENCH HH AO1 S T AH0 N CH +HOSTER HH OW1 S T ER0 +HOSTERMAN HH OW1 S T ER0 M AH0 N +HOSTESS HH OW1 S T AH0 S +HOSTESSES HH OW1 S T AH0 S AH0 Z +HOSTESSES(2) HH OW1 S T AH0 S IH0 Z +HOSTETLER HH AA1 S T IH0 T AH0 L ER0 +HOSTETTER HH AA1 S T IH0 T ER0 +HOSTETTLER HH AA1 S T IH0 T AH0 L ER0 +HOSTETTLER(2) HH AA1 S T EH0 T L ER0 +HOSTILE HH AA1 S T AH0 L +HOSTILE(2) HH AA0 S T AY1 L +HOSTILITIES HH AA0 S T IH1 L AH0 T IY0 Z +HOSTILITY HH AA0 S T IH1 L AH0 T IY0 +HOSTING HH OW1 S T IH0 NG +HOSTLER HH AA1 S L ER0 +HOSTS HH OW1 S T S +HOSTUTLER HH AA1 S T UW0 T AH0 L ER0 +HOSTUTLER(2) HH AA1 S T UW0 T L ER0 +HOT HH AA1 T +HOT-CROSS HH AA1 T K R AO1 S +HOT-LINE HH AA1 T L AY1 N +HOT-SHOT HH AA1 SH AA2 T +HOT-SHOTS HH AA1 SH AA2 T S +HOTALING HH AA1 T AH0 L IH0 NG +HOTALING'S HH AA1 T AH0 L IH0 NG Z +HOTARD HH AA1 T ER0 D +HOTBED HH AA1 T B EH2 D +HOTBEDS HH AA1 T B EH2 D Z +HOTCAKE HH AA1 T K 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+HURLBUTT HH ER1 L B AH0 T +HURLED HH ER1 L D +HURLESS HH ER1 L AH0 S +HURLEY HH ER1 L IY0 +HURLING HH ER1 L IH0 NG +HURLOCK HH ER1 L AH0 K +HURLY HH ER1 L IY0 +HURM HH ER1 M +HURN HH ER1 N +HURNEY HH ER1 N IY0 +HURON HH Y UW1 R AA2 N +HURON(2) HH Y UH1 R AA2 N +HURRAH HH UH0 R AA1 +HURRAY HH AH0 R EY1 +HURRELL HH AO1 R AH0 L +HURRI HH ER1 IY0 +HURRICANE HH ER1 AH0 K EY2 N +HURRICANE(2) HH AH1 R AH0 K EY2 N Z +HURRICANE'S HH ER1 AH0 K EY2 N Z +HURRICANES HH ER1 AH0 K EY2 N Z +HURRIED HH ER1 IY0 D +HURRIEDLY HH ER1 IY0 D L IY0 +HURRIES HH ER1 IY0 Z +HURRY HH ER1 IY0 +HURRYING HH ER1 IY0 IH0 NG +HURSEY HH ER1 S IY0 +HURSH HH ER1 SH +HURST HH ER1 S T +HURSTON HH ER1 S T AH0 N +HURT HH ER1 T +HURTA HH ER1 T AH0 +HURTADO HH ER0 T AA1 D OW0 +HURTEAU HH ER0 T OW1 +HURTFUL HH ER1 T F AH0 L +HURTIG HH ER1 T IH0 G +HURTING HH ER1 T IH0 NG +HURTLE HH ER1 T AH0 L +HURTLING HH ER1 T L IH0 NG +HURTS HH ER1 T S +HURTT HH ER1 T +HURTUBISE HH ER1 T AH0 B AY0 Z +HURVEY HH ER1 V IY0 +HURVITZ HH ER1 V IH0 T S +HURWITZ HH ER1 W IH0 T S +HUSAIN HH AH1 S AY0 N +HUSAK HH UW1 S AH0 K +HUSAR HH UW1 S ER0 +HUSBAND HH AH1 Z B AH0 N D +HUSBAND'S HH AH1 Z B AH0 N D Z +HUSBANDRY HH AH1 Z B AH0 N D R IY0 +HUSBANDS HH AH1 Z B AH0 N D Z +HUSBANDS' HH AH1 S B AH0 N D Z +HUSBY HH AH1 S B IY0 +HUSCHKA HH AH1 SH K AH0 +HUSE HH Y UW1 Z +HUSEBY HH AH1 S IH0 B IY0 +HUSEMAN HH UW1 S M AH0 N +HUSEN HH UW1 S AH0 N +HUSER HH Y UW1 Z ER0 +HUSH HH AH1 SH +HUSHED HH AH1 SH T +HUSIC HH Y UW1 Z IH0 K +HUSK HH AH1 S K +HUSKA HH AH1 S K AH0 +HUSKEY HH AH1 S K IY0 +HUSKINS HH AH1 S K IH0 N Z +HUSKS HH AH1 S K S +HUSKY HH AH1 S K IY0 +HUSKY'S HH AH1 S K IY0 Z +HUSMAN HH AH1 S M AH0 N +HUSMANN HH AH1 S M AH0 N +HUSON HH UW1 S AH0 N +HUSS HH AH1 S +HUSSAIN HH UW0 S EY1 N +HUSSAR HH AH1 S ER0 +HUSSEIN HH UW0 S EY1 N +HUSSEIN'S HH UW0 S EY1 N Z +HUSSEINI HH Y UW0 S EY1 N IY0 +HUSSEINI(2) HH UW0 S EY1 N IY0 +HUSSER HH AH1 S ER0 +HUSSEY HH AH1 S IY0 +HUSSITE HH AH1 S AY2 T +HUSSMAN HH AH1 S M AH0 N +HUSSON HH AH1 S AH0 N +HUSSONG HH AH1 S AO2 NG +HUSSY HH AH1 S IY0 +HUST HH AH1 S T +HUSTAD HH AH1 S T AH0 D +HUSTEAD HH AH1 S T EH0 D +HUSTED HH AH1 S T IH0 D +HUSTER HH AH1 S T ER0 +HUSTINGS HH AH1 S T IH0 NG Z +HUSTLE HH AH1 S AH0 L +HUSTLED HH AH1 S AH0 L D +HUSTLER HH AH1 S AH0 L ER0 +HUSTLER(2) HH AH1 S L ER0 +HUSTLERS HH AH1 S AH0 L ER0 Z +HUSTLERS(2) HH AH1 S L ER0 Z +HUSTLES HH AH1 S AH0 L Z +HUSTLING HH AH1 S AH0 L IH0 NG +HUSTLING(2) HH AH1 S L IH0 NG +HUSTON HH AH1 S T AH0 N +HUT HH AH1 T +HUT'S HH AH1 T S +HUTA HH UW1 T AH0 +HUTCH HH AH1 CH +HUTCHCRAFT HH AH1 CH K R AE2 F T +HUTCHENS HH AH1 CH AH0 N Z +HUTCHEON HH AH1 CH IY0 AH0 N +HUTCHERSON HH AH1 CH ER0 S AH0 N +HUTCHESON HH AH1 CH IH0 S AH0 N +HUTCHINGS HH AH1 CH IH0 NG Z +HUTCHINS HH AH1 T CH IH2 N Z +HUTCHINSON HH AH1 CH IH0 N S AH0 N +HUTCHISON HH AH1 CH IH0 S AH0 N +HUTCHISON'S HH AH1 CH IH0 S AH0 N Z +HUTH HH UW1 TH +HUTMACHER HH AH1 T M AH0 K ER0 +HUTNICK HH AH1 T N IH0 K +HUTO HH UW1 T OW2 +HUTS HH AH1 T S +HUTSELL HH AH1 T S AH0 L +HUTSON HH AH1 T S AH0 N +HUTT HH AH1 T +HUTTER HH AH1 T ER0 +HUTTNER HH AH1 T N ER0 +HUTTO HH UW1 T OW0 +HUTTON HH AH1 T AH0 N +HUTTON'S HH AH1 T AH0 N Z +HUTU HH UW1 T UW2 +HUTU'S HH UW1 T UW2 Z +HUTUS HH UW1 T UW2 Z +HUTZEL HH AH1 T Z AH0 L +HUTZELL HH AH1 T Z AH0 L +HUTZELMAN HH AH1 T S AH0 L M AH0 N +HUTZLER HH AH1 T S L ER0 +HUVAL HH UW0 V AE1 L +HUWE HH UW1 W +HUX HH AH1 K S +HUXFORD HH AH1 K S F ER0 D +HUXLEY HH AH1 K S L IY0 +HUXTABLE HH AH1 K S T AH0 B AH0 L +HUXTABLES HH AH1 K S T AH0 B AH0 L Z +HUYCK HH AY1 K +HUYETT HH AY1 IH0 T +HUYLER HH AY1 L ER0 +HUYNH HH AY1 N +HUYSER HH AY1 S ER0 +HUZZAH HH UH2 Z AA1 +HWA HH W AA1 +HWAN HH W AA1 N +HWAN'S HH W AA1 N Z +HWANG HH W AE1 NG +HWANG(2) HH W AA1 NG +HWANG-HO HH W AE1 NG HH OW1 +HWANG-HO(2) HH W AA1 NG HH OW1 +HWE HH W EY1 +HY HH AY1 +HYACINTH HH AY1 AH0 S IH2 N TH +HYACINTHA HH AY2 AH0 S IH1 N TH AH0 +HYACINTHE HH AY1 AH0 S IH0 N TH +HYACINTHIA HH AY2 AH0 S IH1 N TH IY0 AH0 +HYACINTHIE HH AY1 AH0 S IH2 N TH IY0 +HYACINTHS HH AY1 AH0 S IH0 N TH S +HYADES HH AY1 AH0 D IY2 Z +HYAKUTAKE HH AY1 AH0 K UW0 T AA2 K IY0 +HYAKUTAKE(2) HH AY1 AH0 K Y UW0 T AA2 K IY0 +HYALURONIC HH AY2 AH0 L ER0 AA1 N IH0 K +HYAMS HH AY1 AH0 M Z +HYANNIS HH AY0 AE1 N IH0 S +HYANNISPORT HH AY0 AE1 N IH0 S P AO0 R T +HYATT HH AY1 AH0 T +HYATT'S HH AY1 AH0 T S +HYBL HH IH1 B AH0 L +HYBL'S HH IH1 B AH0 L Z +HYBRID HH AY1 B R AH0 D +HYBRID(2) HH AY1 B R IH0 D +HYBRIDIZATION HH AY2 B R AH0 D AH0 Z EY1 SH AH0 N +HYBRIDIZE HH AY1 B R AH0 D AY2 Z +HYBRIDS HH AY1 B R AH0 D Z +HYBRIENKO HH AY1 B R IY0 EH2 N K OW0 +HYBRITECH HH AY1 B R IH0 T EH2 K +HYCHE HH AY1 CH +HYCOR HH AY1 K AO2 R +HYCROFT HH AY1 K R AO2 F T +HYDE HH AY1 D +HYDE'S HH AY1 D Z +HYDEA HH AY2 D IY1 AH0 +HYDEA(2) HH AY2 D EY1 AH0 +HYDEIA HH AY1 D EY1 AH0 +HYDEN HH AY1 D AH0 N +HYDER HH AY1 D ER0 +HYDERABAD HH AY0 D EH1 R AH0 B AE2 D +HYDERABAD(2) HH AY1 D ER0 AH0 B AE2 D +HYDOCK HH AY1 D AH0 K +HYDRA HH AY1 D R AH0 +HYDRANT HH AY1 D R AH0 N T +HYDRANTS HH AY1 D R AH0 N T S +HYDRAS HH AY1 D R AH0 Z +HYDRATE HH AY1 D R EY2 T +HYDRATED HH AY1 D R EY2 T AH0 D +HYDRATES HH AY1 D R EY2 T S +HYDRATION HH AY0 D R EY1 SH AH0 N +HYDRAULIC HH AY0 D R AO1 L IH0 K +HYDRAULICS HH AY0 D R AO1 L IH0 K S +HYDRAZINE HH AY1 D R AH0 Z IY2 N +HYDRICK HH IH1 D R IH0 K +HYDRIDE HH AY1 D R AY2 D +HYDRO HH AY1 D R OW2 +HYDRO'S HH AY1 D R OW2 Z +HYDROCARBON HH AY2 D R OW0 K AA1 R B AH0 N +HYDROCARBONS HH AY2 D R OW0 K AA1 R B AH0 N Z +HYDROCEPHALIC HH AY2 D R OW0 S EH0 F AA1 L IH0 K +HYDROCEPHALUS HH AY2 D R OW0 S EH1 F AH0 L AH0 S +HYDROELECTRIC HH AY2 D R OW0 IH0 L EH1 K T R IH0 K +HYDROENCEPHALUS HH AY2 D R OW0 AH0 N S EH1 F AH0 L AH0 S +HYDROFOIL HH AY1 D R AH0 F OY2 L +HYDROGEN HH AY1 D R AH0 JH AH0 N +HYDROGENATE HH AY1 D R AH0 JH AH0 N EY2 T +HYDROGENATED HH AY1 D R AH0 JH AH0 N EY2 T IH0 D +HYDROGENATED(2) HH AY0 D R AA1 JH AH0 N EY2 T IH0 D +HYDROGENATES HH AY1 D R AH0 JH AH0 N EY2 T S +HYDROGENATING HH AY1 D R AH0 JH AH0 N EY2 T IH0 NG +HYDROGENATION HH AY2 D R AA2 JH AH0 N EY1 SH AH0 N +HYDROGENS HH AY1 D R AH0 JH AH0 N Z +HYDROGRAPHIC HH AY2 D R AH0 G R AE1 F IH0 K +HYDROLYSIS HH AY0 D R AA1 L AH0 S AH0 S +HYDROLYZE HH AY1 D R AH0 L AY2 Z +HYDROLYZED HH AY1 D R AH0 L AY2 Z D +HYDROLYZING HH AY1 D R AH0 L AY2 Z IH0 NG +HYDROMETER HH AY0 D R AA1 M AH0 T ER0 +HYDRON HH AY1 D R AH0 N +HYDROPHILIC HH AY2 D R AH0 F IH1 L IH0 K +HYDROPIC HH AY2 D R AO1 P IH0 K +HYDROPONIC HH AY2 D R AH0 P AA1 N IH0 K +HYDROPOWER HH AY1 D R OW0 P AW2 R +HYDROSOL HH AY1 D R AH0 S AA2 L +HYDROSULFIDE HH AY2 D R OW0 S AH1 L F AY2 D +HYDROTHERAPY HH AY2 D R OW0 TH EH1 R AH0 P IY0 +HYDROTHERMAL HH AY2 D R OW0 TH ER1 M AH0 L +HYDROUS HH AY1 D R AH0 S +HYDROX HH AY1 D R AO2 K S +HYDROXIDE HH AY0 D R AA1 K S AY0 D +HYDROXIDES HH AY0 D R AA1 K S AY0 D Z +HYDROXY HH AY2 D R AO1 K S IY0 +HYDSTRA HH AY1 D S T R AH0 +HYE HH AY0 +HYENA HH AY0 IY1 N AH0 +HYENAS HH AY0 IY1 N AH0 Z +HYER HH AY1 ER0 +HYERS HH AY1 ER0 Z +HYGEIA HH AY2 JH EY1 AH0 +HYGIENE HH AY1 JH IY2 N +HYGIENIST HH AY2 G IY1 N IH0 S T +HYGIENIST(2) HH AY2 G EH1 N IH0 S T +HYGIENISTS HH AY2 G IY1 N IH0 S T S +HYGIENISTS(2) HH AY2 G IY1 N IH0 S +HYGIENISTS(3) HH AY2 G EH1 N IH0 S T S +HYGIENISTS(4) HH AY2 G EH1 N IH0 S +HYGROMETER HH AY0 G R AA1 M AH0 T ER0 +HYKES HH AY1 K S +HYLAND HH AY1 L AH0 N D +HYLE HH AY1 L +HYLER HH AY1 L ER0 +HYLSA HH AY1 L S AH0 +HYLTON HH IH1 L T AH0 N +HYMAN HH AY1 M AH0 N +HYMANS HH AY1 M AH0 N Z +HYMAS HH AY1 M AH0 Z +HYMEL HH AY1 M AH0 L +HYMEN HH AY1 M AH0 N +HYMENEAL HH IH2 M AH0 N IY1 AH0 L +HYMER HH AY1 M ER0 +HYMES HH AY1 M Z +HYMIE HH AY1 M IY0 +HYMIES HH AY1 M IY0 Z +HYMN HH IH1 M +HYMNAL HH IH1 M N AH0 L +HYMNALS HH IH1 M N AH0 L Z +HYMNOLOGY HH IH0 M N AA1 L AH0 JH IY0 +HYMNS HH IH1 M Z +HYMOWITZ HH IH1 M AH0 W IH0 T S +HYMOWITZ(2) HH AY1 M AH0 W IH0 T S +HYND HH IH1 N D +HYNDAI HH IH1 N D AY1 +HYNDMAN HH IH1 N D M AH0 N +HYNDS HH IH1 N D Z +HYNEK HH AY1 N IH0 K +HYNES HH AY1 N Z +HYNES'S HH AY1 N Z IH0 Z +HYNSON HH IH1 N S AH0 N +HYOGO HH Y OW1 G OW0 +HYOTAN HH Y OW1 T AE2 N +HYPE HH AY1 P +HYPED HH AY1 P T +HYPER HH AY1 P ER0 +HYPERACTIVE HH AY2 P ER0 AE1 K T IH0 V +HYPERACTIVITY HH AY2 P ER0 AE0 K T IH1 V IH0 T IY0 +HYPERBARIC HH AY0 P ER0 B AA1 R IH0 K +HYPERBARIC(2) HH AY0 P ER1 B AE1 R IH0 K +HYPERBOLA HH AY0 P ER1 B AH0 L AH0 +HYPERBOLE HH AY0 P ER1 B AH0 L IY2 +HYPERBOLIC HH AY2 P ER0 B AA1 L IH0 K +HYPERBOREAN HH AY2 P ER0 B AO1 R IY0 AH0 N +HYPERCARD HH AY2 P ER0 K AA1 R D +HYPERCHROMATIC HH AY2 P ER0 K R OW0 M AE1 T IH0 K +HYPERCRITICAL HH AY2 P ER0 K R IH1 T IH0 K AH0 L +HYPERDRIVE HH AY1 P ER0 D R AY2 V +HYPERINFLATION HH AY2 P ER0 IH0 N F L EY1 SH AH0 N +HYPERION HH AY0 P IH1 R IY0 AH0 N +HYPERKINETIC HH AY2 P ER0 K IH0 N EH1 T IH0 K +HYPERLINK HH AY1 P ER0 L IH0 NG K +HYPERLINKS HH AY1 P ER0 L IH0 NG K S +HYPERMARKET HH AY1 P ER0 M AA2 R K IH0 T +HYPERMARKETS HH AY1 P ER0 M AA2 R K IH0 T S +HYPEROPIA HH AY2 P ER0 OW1 P IY2 AA0 +HYPERPLASIA HH AY2 P ER0 P L EY1 ZH AA0 +HYPERSENSITIVE HH AY2 P ER0 S EH1 N S IH0 T IH0 V 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M P R AH0 V AY2 Z AH0 Z +IMPROVISES(2) IH2 M P R AH0 V AY1 Z AH0 Z +IMPROVISING IH1 M P R AH0 V AY2 Z IH0 NG +IMPRUDENCE IH2 M P R UW1 D AH0 N S +IMPRUDENT IH2 M P R UW1 D AH0 N T +IMPRUDENTLY IH2 M P R UW1 D AH0 N T L IY0 +IMPSON IH1 M P S AH0 N +IMPUGN IH2 M P Y UW1 N +IMPUGNED IH2 M P Y UW1 N D +IMPUGNING IH2 M P Y UW1 N IH0 NG +IMPUGNS IH2 M P Y UW1 N Z +IMPULSE IH1 M P AH0 L S +IMPULSE(2) IH2 M P AH1 L S +IMPULSES IH1 M P AH0 L S IH0 Z +IMPULSES(2) IH2 M P AH1 L S IH0 Z +IMPULSIVE IH2 M P AH1 L S IH0 V +IMPULSIVELY IH2 M P AH1 L S IH0 V L IY0 +IMPUNITY IH2 M P Y UW1 N IH0 T IY0 +IMPURE IH2 M P Y UH1 R +IMPURITIES IH2 M P Y UH1 R AH0 T IY0 Z +IMPURITY IH2 M P Y UH1 R AH0 T IY0 +IMPUTATION IH2 M P Y AH0 T EY1 SH AH0 N +IMPUTE IH2 M P Y UW1 T +IMPUTED IH2 M P Y UW1 T IH0 D +IMRE IH1 M R AH0 +IMREG IH2 M R EH1 G +IMREG'S IH2 M R EH1 G Z +IMRIE IH1 M ER0 IY0 +IMUS AY1 M AH0 S +IN IH0 N +IN(2) IH1 N +IN'S IH0 N Z +IN'S(2) IH1 N Z +IN-APP IH0 N AE1 P +IN-DEPTH IH0 N D EH1 P TH +IN-HOUSE 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IH1 NG K +INC.(2) IH0 NG K AO1 R P AO0 R EY0 T AH0 D +INC.'S IH1 NG K S +INCA IH1 NG K AH0 +INCALCULABLE IH2 N K AE1 L K Y AH0 L AH0 B AH0 L +INCANDESCENT IH2 N K AH0 N D EH1 S AH0 N T +INCANT IH2 N K AE1 N T +INCANTATION IH2 N K AE1 N T EY1 SH AH0 N +INCANTATORY IH2 N K AE1 N T AH0 T AO2 R IY0 +INCAPABLE IH2 N K EY1 P AH0 B AH0 L +INCAPACITATE IH2 N K AH0 P AE1 S IH0 T EY2 T +INCAPACITATED IH2 N K AH0 P AE1 S IH0 T EY2 T IH0 D +INCAPACITATING IH2 N K AH0 P AE1 S IH0 T EY2 T IH0 NG +INCAPACITATION IH2 N K AH0 P AE2 S IH0 T EY1 SH AH0 N +INCAPACITY IH2 N K AH0 P AE1 S AH0 T IY0 +INCARCERATE IH2 N K AA1 R S ER0 EY2 T +INCARCERATED IH2 N K AA1 R S ER0 EY2 T IH0 D +INCARCERATES IH2 N K AA1 R S ER0 EY2 T S +INCARCERATING IH2 N K AA1 R S ER0 EY2 T IH0 NG +INCARCERATION IH2 N K AA2 R S ER0 EY1 SH AH0 N +INCARNATE IH2 N K AA1 R N AH0 T +INCARNATE(2) IH2 N K AA1 R N EY2 T +INCARNATION IH2 N K AA1 R N EY1 SH AH0 N +INCARNATIONS IH2 N K AA0 R N EY1 SH AH0 N Z +INCAS IH1 NG K AH0 Z +INCASE IH2 N K 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IY0 +INCOMPATIBILITY IH2 N K AA2 M P AH0 T IH0 B IH1 L IH0 T IY0 +INCOMPATIBLE IH2 N K AH0 M P AE1 T AH0 B AH0 L +INCOMPETENCE IH2 N K AA1 M P AH0 T AH0 N S +INCOMPETENCY IH2 N K AA1 M P AH0 T AH0 N S IY0 +INCOMPETENT IH2 N K AA1 M P AH0 T AH0 N T +INCOMPETENTLY IH2 N K AA1 M P AH0 T AH0 N T L IY0 +INCOMPETENTS IH2 NG K AA1 M P AH0 T AH0 N T S +INCOMPLETE IH2 N K AH0 M P L IY1 T +INCOMPREHENSIBLE IH2 NG K AA2 M P R AH0 HH EH1 N S IH0 B AH0 L +INCOMPREHENSIBLY IH2 NG K AA2 M P R AH0 HH EH1 N S IH0 B L IY0 +INCOMPRESSIBLE IH2 N K AH0 M P R EH1 S AH0 B AH0 L +INCONCEIVABLE IH2 N K AH0 N S IY1 V AH0 B AH0 L +INCONCLUSIVE IH2 N K AH0 N K L UW1 S IH0 V +INCONCLUSIVELY IH2 NG K AA1 N K L UW0 S IH0 V L IY0 +INCONGRUITY IH2 NG K AO0 NG R UW1 IH0 T IY0 +INCONGRUOUS IH2 NG K AO1 NG R UW0 AH0 S +INCONGRUOUSLY IH2 NG K AO1 NG R UW0 AH0 S L IY0 +INCONSEQUENTIAL IH2 NG K AA2 N S AH0 K W EH1 N CH AH0 L +INCONSISTENCIES IH2 NG K AA1 N S IH0 S T EH2 N S IY0 Z +INCONSISTENCY IH2 N K AH0 N S IH1 S T AH0 N S IY0 +INCONSISTENT IH2 N K AH0 N S IH1 S T AH0 N T +INCONSPICUOUS IH2 NG K AA1 N S P IH0 K W AH0 S +INCONSTANCY IH2 N K AA1 N S T AH0 N S IY0 +INCONTINENCE IH2 N K AA1 N T AH0 N AH0 N S +INCONTINENT IH2 N K AA1 N T AH0 N AH0 N T +INCONTROVERTIBLE IH2 NG K AA2 N T R OW0 V ER1 T IH0 B AH0 L +INCONVENIENCE IH2 N K AH0 N V IY1 N Y AH0 N S +INCONVENIENCED IH2 N K AH0 N V IY1 N Y AH0 N S T +INCONVENIENCES IH2 N K AH0 N V IY1 N Y AH0 N S IH0 Z +INCONVENIENT IH2 N K AH0 N V IY1 N Y AH0 N T +INCOORDINATION IH2 N K OW2 AO1 R D AH0 N EY2 SH AH0 N +INCORPORATE IH2 N K AO1 R P ER0 EY2 T +INCORPORATED IH2 N K AO1 R P ER0 EY2 T IH0 D +INCORPORATED(2) IH0 N K AO1 R P ER0 EY2 T IH0 D +INCORPORATED'S IH2 N K AO1 R P ER0 EY2 T IH0 D Z +INCORPORATES IH2 N K AO1 R P ER0 EY2 T S +INCORPORATING IH2 N K AO1 R P ER0 EY2 T IH0 NG +INCORPORATION IH2 N K AO2 R P ER0 EY1 SH AH0 N +INCORPORATION'S IH2 N K AO2 R P ER0 EY1 SH AH0 N Z +INCORPORATIONS IH2 N K AO2 R P ER0 EY1 SH AH0 N Z +INCORRECT IH2 N K ER0 EH1 K T 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+JUVENILES JH UW1 V AH0 N AH0 L Z +JUVENILES(2) JH UW1 V AH0 N AY2 L Z +JUWAN JH UW1 AA0 N +JUXTAPOSE JH AH2 K S T AH0 P OW1 Z +JUXTAPOSED JH AH2 K S T AH0 P OW1 Z D +JUXTAPOSES JH AH2 K S T AH0 P OW1 Z IH0 Z +JUXTAPOSING JH AH2 K S T AH0 P OW1 Z IH0 NG +JUXTAPOSITION JH AH2 K S T AH0 P AH0 Z IH1 SH AH0 N +JUXTAPOSITIONS JH AH2 K S T AH0 P AH0 Z IH1 SH AH0 N Z +JWAN JH W AA1 N +JYISHANE JH IY1 SH EY1 N +JYNX JH IH1 NG K S +K K EY1 +K'S K EY1 Z +K-MART K EY1 M AA1 R T +K-MART'S K EY1 M AA1 R T S +K. K EY1 +K.'S K EY1 Z +KA K AA1 +KAAS K AA1 S +KAATZ K AA1 T S +KABART K AH0 B AA1 R T +KABAT K AE1 B AH0 T +KABBAH K AH0 B AH1 +KABBALAH K AH0 B AA1 L AH0 +KABBANI K AH0 B AA1 N IY0 +KABEL K AE1 B AH0 L +KABI K AE1 B IY0 +KABI(2) K AA1 B IY0 +KABILA K AH0 B IH1 L AH0 +KABILA'S K AH0 B IH1 L AH0 Z +KABIVITRUM K AH0 B IH1 V IH0 T R AH0 M +KABLE K EY1 B AH0 L +KABLER K EY1 B AH0 L ER0 +KABLER(2) K EY1 B L ER0 +KABOOM K AH0 B UW1 M +KABRAL K AH0 B R AA1 L +KABUKI K AH0 B UW1 K IY2 +KABUL K AA1 B UH0 L +KACER K EY1 S ER0 +KACH K AE1 CH +KACHEL K AE1 K AH0 L +KACHIGIAN K AH0 SH IY1 G IY2 AH0 N +KACHIGIAN(2) K AH0 SH IH1 G IY0 AH0 N +KACHMAR K AE1 K M ER0 +KACHUCK K AH0 CH AH1 K +KACHUR K AE1 CH ER0 +KACKLEY K AE1 K L IY0 +KACZMARCZYK K AA1 CH M ER0 CH IH0 K +KACZMAREK K AH0 CH M AA1 R EH0 K +KACZMARSKI K AH0 CH M AA1 R S K IY0 +KACZOR K AA1 CH ER0 +KACZOROWSKI K AH0 CH ER0 AO1 F S K IY0 +KACZYNSKI K AH0 CH IH1 N S K IY0 +KACZYNSKI(2) K AH0 Z IH1 N S K IY0 +KACZYNSKI'S K AH0 CH IH1 N S K IY0 Z +KACZYNSKI'S(2) K AH0 Z IH1 N S K IY0 Z +KADAR K AE1 D ER0 +KADAR(2) K AH0 D AA1 R +KADE K EY1 D +KADEL K AE1 D AH0 L +KADEN K EY1 D AH0 N +KADER K EY1 D ER0 +KADING K EY1 D IH0 NG +KADISH K EY1 D IH0 SH +KADLEC K AA1 D L IH0 K +KADOW K AA1 D OW0 +KADRESCU K AH0 D R EH1 S K Y UW0 +KADRMAS K AE1 D ER0 M AA2 Z +KADUMI K AH0 D UW1 M IY0 +KADY K EY1 D IY0 +KAEDING K EH1 D IH0 NG +KAEHLER K EH1 L ER0 +KAEL K EY1 L +KAELIN K EH1 L IH0 N +KAELIN'S K EH1 L IH0 N Z +KAERCHER K EH1 R K ER0 +KAESER K EY1 Z ER0 +KAESTNER K EH1 S T N ER0 +KAETZEL K EH1 T Z AH0 L +KAFELNIKOV K AH0 F EH1 L N IH0 K AO2 F +KAFELNIKOV(2) K AH0 F EH1 L N IH0 K AO2 V +KAFER K EY1 F ER0 +KAFFENBERGER K AE1 F AH0 N B ER0 G ER0 +KAFKA K AA1 F K AH0 +KAFKA'S K AA1 F K AH0 Z +KAFKAESQUE K AA1 F K AH0 EH1 S K +KAGAMI K AE1 G AH0 M IY0 +KAGAN K EY1 G AH0 N +KAGARLITSKY K AE2 G ER0 L IH1 T S K IY1 +KAGAWA K AH0 G AA1 W AH0 +KAGE K EY1 JH +KAGEL K EY1 G AH0 L +KAGEY K EY1 JH IY0 +KAGEYAMA K AA2 G IY0 AA1 M AH0 +KAGIN K EY1 G IH0 N +KAGINS K EY1 G IH0 N Z +KAGLER K AE1 G L ER0 +KAGY K EY1 G IY0 +KAH K AA1 +KAHALANI K AA2 HH AH0 L AA1 N IY0 +KAHAN K AH0 HH AA1 N +KAHAN'S K AH0 HH AA1 N Z +KAHANE K AH0 HH AA1 N EY2 +KAHANE(2) K AH0 HH EY1 N +KAHL K AA1 L +KAHLE K AA1 L +KAHLER K AA1 L ER0 +KAHLEY K AA1 L IY0 +KAHN K AA1 N +KAHN'S K AA1 N Z +KAHNG K AA1 NG +KAHR K AA1 R +KAHR'S K AA1 R Z +KAHRE K EH1 R +KAHRE(2) K AA1 R +KAHRS K AA1 R Z +KAHULUI K AH0 HH UW1 L W IY0 +KAHUNA K AH0 HH UW1 N AH0 +KAI K AY1 +KAIFU K AY1 F UW2 +KAIGLER K EY1 G L ER0 +KAIL K EY1 L +KAILASH K EY1 L AH0 SH +KAILUA K AY0 L UW1 AH0 +KAIM K EY1 M +KAIN K EY1 N +KAINE K EY1 N +KAINER K EY1 N ER0 +KAINZ K EY1 N Z +KAIRAMO K EH2 R AA1 M OW0 +KAIREY K EH1 R IY0 +KAISER K AY1 Z ER0 +KAISER'S K AY1 Z ER0 Z +KAISERAUGST K AY1 Z ER0 AO0 G S T +KAISERTECH K AY1 Z ER0 T EH2 K +KAISERTECH'S K AY1 Z ER0 T EH2 K S +KAISHA K EY1 SH AH0 +KAJI K AA1 JH IY0 +KAJIMA K AA2 JH IY1 M AH0 +KAJUAHAR K AH0 JH UW1 AH0 HH AA0 R +KAKADU K AA2 K AA1 D UW0 +KAKIMOTO K AA2 K IH0 M OW1 T OW0 +KAKOS K EY1 K OW0 Z +KAKTOVIK K AE2 K T OW1 V IH0 K +KAKUEI K AE1 K Y UW0 IY0 +KAKUMARU K AA2 K UW0 M AA1 R UW0 +KAL K AE1 L +KAL(2) K EY1 EY1 EH1 L +KALAFUT K AE1 L AH0 F AH0 T +KALAL K EY1 L AH0 L +KALAMAZOO K AE2 L AH0 M AH0 Z UW1 +KALAN K EY1 L AH0 N +KALAS K AA1 L AH0 Z +KALASHNIKOV K AH0 L AE1 SH N IH0 K AA2 V +KALATA K AH0 L AA1 T AH0 +KALB K AE1 L B +KALBACH K AE1 L B AA2 K +KALBERER K AE1 L B ER0 ER0 +KALBFLEISCH K AE1 L B F L AY2 SH +KALE K EY1 L +KALEEL K AE1 L IY0 L +KALEIDA K AH0 L AY1 D AH0 +KALEIDOSCOPE K AH0 L AY1 D AH0 S K OW2 P +KALEN K EY1 L AH0 N +KALER K EY1 L ER0 +KALETA K AE1 L IH0 T AH0 +KALEY K EY1 L IY0 +KALGOORLIE K AE2 L G UW1 R L IY0 +KALI K AA1 L IY2 +KALIKOW K AE1 L IH0 K OW0 +KALIL K AE1 L AH0 L +KALIN K AE1 L IH0 N +KALINA K AH0 L AY1 N AH0 +KALININGRAD K AH0 L IH1 N IH0 NG G R AE2 D +KALINOSKI K AH0 L IH0 N AW1 S K IY0 +KALINOWSKI K AH0 L IH0 N AO1 F S K IY0 +KALINSKE K AH0 L IH1 N S K IY0 +KALINSKI K AH0 L IH1 N S K IY0 +KALIS K AE1 L IH0 S +KALISH K AE1 L IH0 SH +KALISPELL K AE1 L IH0 S P EH2 L +KALISZ K AA1 L IH0 SH +KALISZEWSKI K AH0 L IH0 SH EH1 F S K IY0 +KALIVODA K AH0 L IH0 V OW1 D AH0 +KALK K AO1 K +KALKA K AE1 L K AH0 +KALKASKA K AE0 L K AA1 S K AH0 +KALKBRENNER K AE1 L K B R IH0 N ER0 +KALL K AO1 L +KALLA K AE1 L AH0 +KALLAL K AE1 L AH0 L +KALLAM K AE1 L AH0 M +KALLAS K AE1 L AH0 Z +KALLAY K AE1 L EY0 +KALLEN K AO1 L AH0 N +KALLENBACH K AE1 L IH0 N B AA0 K +KALLENBERGER K AO1 L AH0 N B ER0 G ER0 +KALLHOFF K AE1 L HH AO0 F +KALLIEL K AE1 L IY0 AH0 L +KALLINS K AE1 L IH0 N Z +KALLIO K AE1 L IY0 OW0 +KALLIS K AE1 L IH0 S +KALLMAN K AO1 L M AH0 N +KALLMEYER K AE1 L M AY0 ER0 +KALLSTROM K AE1 L S T R AH0 M +KALLUS K AE1 L AH0 S +KALMAN K AE1 L M AH0 N +KALMANOVITZ K AE2 L M AE1 N AH0 V IH0 T S +KALMAR K AE1 L M ER0 +KALMBACH K AE1 L M B AA0 K +KALMUS K AE1 L M IH0 S +KALNINS K AE1 L N IH0 N Z +KALO K EY1 L OW0 +KALOK K AE1 L AA2 K +KALOUS K AE1 L AH0 S +KALP K AE1 L P +KALT K AO1 L T +KALTENBACH K AE1 L T IH0 N B AA0 K +KALTENBACHER K AA1 L T AH0 N B AA2 K ER0 +KALTER K AO1 L T ER0 +KALTHOFF K AE1 L TH +KALUGIN K AH0 L UW1 G AH0 N +KALUZA K AH0 L UW1 Z AH0 +KALUZNY K AH0 L AH1 Z N IY0 +KALVAR K AE1 L V AA0 R +KAM K AE1 M +KAMA K AA1 M AH0 +KAMAKAU K AA2 M AH0 K AA1 UW0 +KAMAKAU'S K AA2 M AH0 K AA1 UW0 Z +KAMAL K EY1 M AH0 L +KAMALI K AH0 M AA1 L IY0 +KAMAN K EY1 M AH0 N +KAMBER K AE1 M B ER0 +KAMCHATKA K AE2 M CH AE1 T K AH0 +KAMCHATKA(2) K AA2 M CH AA1 T K AH0 +KAMEHAMEHA K AH0 M EY1 AH0 M EY1 AH0 +KAMEHAMEHA'S K AH0 M EY1 AH0 M EY1 AH0 Z +KAMEI K AE1 M IY0 +KAMEI(2) K AA2 M EY1 +KAMEL K AA1 M AH0 L +KAMEN K AA1 M EH0 N +KAMEN(2) K EY1 M EH0 N +KAMENAR K AE1 M AH0 N ER0 +KAMENS K AA1 M EH0 N Z +KAMENS(2) K EY1 M EH0 N Z +KAMENSKY K AH0 M EH1 N S K IY0 +KAMENTSEV K AH0 M EH1 N T S AA2 V +KAMER K EY1 M ER0 +KAMERER K AE1 M ER0 ER0 +KAMIKAZE K AA2 M AH0 K AA1 Z IY0 +KAMIN K AA1 M IY0 N +KAMIN(2) K EY1 M IH2 N +KAMIN(3) K AE1 M IH2 N +KAMINER K AE1 M IH0 N ER0 +KAMINS K AE1 M IH0 N Z +KAMINS(2) K EY1 M IH2 N Z +KAMINSKI K AH0 M IH1 N S K IY0 +KAMINSKY K AH0 M IH1 N S K IY0 +KAMIR K AH0 M IH1 R +KAMKE K AE1 M K IY0 +KAMLER K AE1 M AH0 L ER0 +KAMLER(2) K AE1 M L ER0 +KAMM K AE1 M +KAMMAN K AE1 M AH0 N +KAMMER K AE1 M ER0 +KAMMERER K AE1 M ER0 ER0 +KAMMERZELL K AE1 M ER0 Z AH0 L +KAMMEYER K AE1 M AY0 ER0 +KAMNEVA K AE2 M N EY1 V AH0 +KAMP K AE1 M P +KAMP'S K AE1 M P S +KAMPA K AE1 M P AH0 +KAMPALA K AH0 M P AA1 L AH0 +KAMPE K AE1 M P +KAMPELMAN K AE1 M P AH0 L M AH0 N +KAMPEN K AE1 M P AH0 N +KAMPER K AE1 M P ER0 +KAMPF K AE1 M P F +KAMPFER K AE1 M P F ER0 +KAMPHAUS K AE1 M P HH AW2 S +KAMPMAN K AE1 M P M AH0 N +KAMPMANN K AE1 M P M AH0 N +KAMPS K AE1 M P S +KAMPSCHULTE K AE1 M P SH UH2 L T IY0 +KAMRA K AE1 M R AH0 +KAMRADT K AE1 M R AH0 T +KAMRAN K AE1 M R AH0 N +KAMRATH K AE1 M R AH0 TH +KAMSTRA K AE1 M S T R AH0 +KAN K AE1 N +KANA K AE1 N AH0 +KANADE K AH0 N AA1 D EY2 +KANADY K AE1 N AH0 D IY0 +KANAGY K AE1 N AH0 JH IY0 +KANAI K AH0 N AY1 +KANAK K AE1 N AH0 K 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NG K AH0 +KANKAKEE K AE1 NG K IH0 K IY0 +KANKAKU K AA2 N K AA1 K UW0 +KANN K AE1 N +KANNAN K AA1 N AH0 N +KANNE K AE1 N +KANNENBERG K AE1 N AH0 N B ER0 G +KANNER K AE1 N ER0 +KANNO K AE1 N OW0 +KANO K AA1 N OW0 +KANODE K AH0 N OW1 D +KANON K EY1 N AH0 N +KANOUSE K AA0 N OW0 UW1 S EY0 +KANSAI K AE0 N S AY1 +KANSALLIS K AE2 N S AE1 L IH0 S +KANSAN K AE1 N Z AH0 N +KANSAN'S K AE1 N Z AH0 N Z +KANSANS K AE1 N Z AH0 N Z +KANSANS' K AE1 N Z AH0 N Z +KANSAS K AE1 N Z AH0 S +KANSAS' K AE1 N Z AH0 S +KANSAS'S K AE1 N Z AH0 S IH0 Z +KANSAS-CITY K AE1 N Z AH0 S IH1 T IY0 +KANSAS-CITY(2) K AE1 N Z AH0 S S IH1 T IY0 +KANSIAN K AE1 N Z IY0 AH0 N +KANT K AE1 N T +KANTER K AE1 N T ER0 +KANTER'S K AE1 N T ER0 Z +KANTIAN K AE1 N T IY0 AH0 N +KANTLE K AE1 N T AH0 L +KANTNER K AE1 N T N ER0 +KANTOLA K AH0 N T OW1 L AH0 +KANTOR K AE1 N T ER0 +KANTOR'S K AE1 N T ER0 Z +KANTOR'S(2) K AE1 N T AO0 R Z +KANTROWITZ K AE1 N T R AH0 W IH0 T S +KANTZ K AE1 N T S +KANZ K AE1 N Z +KANZI K AA1 N Z IY0 +KANZLER K AE1 N Z L ER0 +KAO K AW1 +KAO(2) K EY1 OW2 +KAOHSIUNG K EY2 OW1 S IY0 AH0 NG +KAOLIN K AW1 L IH0 N +KAOLIN(2) K EY1 OW0 L IH0 N +KAORI K AO1 R IY0 +KAPAUN K AE1 P AW0 N +KAPFER K AE1 P F ER0 +KAPINOS K AE1 P IH0 N OW0 Z +KAPINOS(2) K AE1 P IY0 N OW0 Z +KAPITAN K AE1 P IH0 T AH0 N +KAPLAIN K AE1 P L AH0 N +KAPLAIN'S K AE1 P L AH0 N Z +KAPLAN K AE1 P L AH0 N +KAPLAN'S K AE1 P L AH0 N Z +KAPLER K EY1 P AH0 L ER0 +KAPLER(2) K EY1 P L ER0 +KAPLIN K AE1 P L IH0 N +KAPLOW K AE1 P L OW0 +KAPLOWITZ K AA1 P L AH0 W IH0 T S +KAPNER K AE1 P N ER0 +KAPNICK K AE1 P N IH0 K +KAPOOR K AH0 P UW1 R +KAPOR K EY1 P ER0 +KAPOSI K AH0 P OW1 S IY0 +KAPOSI'S K AH0 P OW1 S IY0 Z +KAPP K AE1 P +KAPPA K AE1 P AH0 +KAPPEL K AE1 P AH0 L +KAPPELER K AE1 P AH0 L ER0 +KAPPELMAN K AE1 P AH0 L M AH0 N +KAPPER K AE1 P ER0 +KAPPES K AE1 P S +KAPPLER K AE1 P L ER0 +KAPPUS K AE1 P AH0 S +KAPRAL K AE1 P R AH0 L +KAPRAYOON K AE1 P R AH0 Y UW0 N +KAPS K AE1 P S +KAPTON K AE1 P T AH0 N +KAPTUR K AE1 P T ER0 +KAPUR K AE1 P ER0 +KAPUSCINSKI K AH0 P AH0 S CH IH1 N S K IY0 +KAPUSTA K AH0 P AH1 S T AH0 +KARA K EH1 R AH0 +KARABAKH K EH1 R AH0 B AE0 K +KARABIN K AA0 R AA1 B IY0 N +KARACH K AE1 R AH0 CH +KARACHI K AA0 R AA1 CH IY0 +KARADZIC K AA0 R AA1 JH IH0 K +KARADZIC'S K AA0 R AA1 JH IH0 K S +KARAFFA K AE1 R AH0 F AH0 +KARAJAN K EH1 R AH0 JH AH0 N +KARAKOS K AA1 R AH0 K AO2 S +KARAM K AE1 R AH0 M +KARAMI K ER0 AA1 M IY0 +KARAN K EH1 R AH0 N +KARAN'S K EH1 R AH0 N Z +KARANICKI K EH2 R AH0 N IH1 K IY0 +KARANITSKI K EH2 R AH0 N IH1 T S K IY0 +KARAOKE K EH2 R IY0 OW1 K IY0 +KARAS K AA1 R AH0 Z +KARASAWA K AA2 R AH0 S AA1 W AH0 +KARASEK K ER0 AA1 S EH0 K +KARASIK K ER0 AA1 S IH0 K +KARAT K EH1 R AH0 T +KARATE K ER0 AA1 T IY0 +KARATIRM K ER1 AH0 T ER0 M +KARATSU K ER0 AE1 T S UW1 +KARATZ K EH1 R AH0 T S +KARBAN K AA1 R B AH0 N +KARBASSIOUN K AA2 R B AE1 S IY0 UW2 N +KARBER K AA1 R B ER0 +KARBOWSKI K ER0 B AO1 F S K IY0 +KARCH K AA1 R K +KARCHER K AA1 R CH ER0 +KARCZ K AA1 R CH +KARCZEWSKI K ER0 CH EH1 F S K IY0 +KARDASHIAN K AA1 D AH0 SH EY2 N +KARDASHIAN'S K AA1 D AH0 SH EY2 N Z +KARDELL K AA1 R D AH0 L +KARDOS K AA1 R D OW0 Z +KAREEM K ER0 IY1 M +KAREEM'S K ER0 IY1 M Z +KAREL K EH1 R AH0 L +KARELIAN K ER0 IY1 L IY0 AH0 N +KARELS K EH1 R AH0 L Z +KAREMA K AH0 R EH1 M AH0 +KAREMA'S K AH0 R EH1 M AH0 Z +KAREN K EH1 R AH0 N +KAREN'S K EH1 R AH0 N Z +KARENINA K EH2 R EH0 N IY1 N AH0 +KARENINA(2) K AH0 R EH1 N IH0 N AH0 +KARET K EH1 R AH0 T +KARG K AA1 R G +KARGER K AA1 R G ER0 +KARGES K AA1 R JH IH0 Z +KARGONAOV K AA1 R G AH0 N AO2 V +KARI K EH1 R IY0 +KARIBU K EH2 R IY1 B UW0 +KARIM K ER0 IY1 M +KARIMI K AA0 R IY1 M IY0 +KARIN K EH1 R IH0 N +KARINA K AA0 R IY1 N AH0 +KARINO K EH2 R IY1 N OW0 +KARIOTIS K AA2 R IY0 OW1 T IH0 S +KARIS K EH1 R IY0 Z +KARL K AA1 R L +KARL'S K AA1 R L Z +KARLA K AA1 R L AH0 +KARLE K AA1 R AH0 L +KARLEN K AA1 R L AH0 N +KARLHEINZ K AA1 R L HH AY1 N Z +KARLIK K AA1 R L IH0 K +KARLIN K AA1 R L IH0 N +KARLINE K AA1 R L AY2 N +KARLOW K AA1 R L OW0 +KARLS K AA1 R L Z +KARLSEN K AA1 R L S AH0 N +KARLSON K AA1 R L S AH0 N +KARLSRUHE K AA1 R L Z R UW2 +KARLSSON K AA1 R L S AH0 N +KARMA K AA1 R M AH0 +KARMAN K AA1 R M AH0 N +KARN K AA1 R N +KARNAL K AA1 R N AH0 L +KARNER K AA1 R N ER0 +KARNES K AA1 R N Z +KARNEY K AA1 R N IY0 +KARNICKI K AA0 R N IH1 K IY0 +KARNOW K AA1 R N OW0 +KARNOW(2) K AA1 R N AW0 +KARNS K AA1 R N Z +KARNSUND K AA1 R N S AH0 N D +KAROL K EH1 R AO0 L +KAROLINA K EH2 R AH0 L AY1 N AH0 +KAROLINE K EH1 R AH0 L AY2 N +KAROLINSKA K EH2 R OW0 L IH1 N S K AH0 +KAROLY K ER0 OW1 L IY0 +KAROLYI K ER0 OW1 L Y IY0 +KAROLYN K AE1 R AH0 L IH0 N +KARON K EH1 R AH0 N +KAROS K AA1 R OW0 S +KAROUN K ER0 UW1 N +KAROW K AA1 R OW0 +KARP K AA1 R P +KARPATKIN K AA2 R P AE1 T K IH0 N +KARPEL K AA1 R P AH0 L +KARPEN K AA1 R P AH0 N +KARPF K AA1 R P F +KARPINSKI K ER0 P IH1 N S K IY0 +KARPOV K AA1 R P AA2 V +KARPOWICZ K AA1 R P AH0 V IH0 CH +KARR K AA1 R +KARRAKER K AA1 R AH0 K ER0 +KARRAS K AE1 R AH0 Z +KARREN K AE1 R AH0 N +KARRER K AA1 R ER0 +KARRICK K AE1 R IH0 K +KARRIKER K AE1 R IH0 K ER0 +KARRY K EH1 R IY0 +KARSH K AA1 R SH +KARSHNER K AA1 R SH N ER0 +KARSON K AA1 R S AH0 N +KARST K AA1 R S T +KARSTADT K AA1 R S T AE2 T +KARSTEN K AA1 R S T AH0 N +KARSTENS K AA1 R S T AH0 N Z +KARSTETTER K AA1 R S T IH0 T ER0 +KARTASASMITA K AA0 R T AE2 S AH0 S M IY1 T AH0 +KARTCHNER K AA1 R CH N ER0 +KARTER K AA1 R T ER0 +KARTES K AA1 R T S +KARUN K ER0 UW1 N +KARVONEN K AA1 R V AH0 N AH0 N +KARWOSKI K ER0 V AW1 S K IY0 +KARWOWSKI K ER0 V AO1 F S K IY0 +KARY K EH1 R IY0 +KARYDAKIS K EH2 R IY0 D AE1 K IH0 S +KARYN K AE1 R IH0 N +KARYRRHEXIS K EH2 R IY0 R EH1 K S IH0 S +KASABIAN K AH0 S EY1 B IY0 AH0 N +KASAGIC K AH0 S AA1 G IH0 K +KASAL K EY1 S AH0 L +KASBROL K AE1 Z B R AO0 L +KASBROLS K AE1 Z B R AO0 L Z +KASCH K AE1 SH +KASCHAK K AE1 SH AH0 K +KASDORF K AE1 S D AO0 R F +KASE K EY1 Z +KASEL K AE1 S AH0 L +KASELL K AE1 S AH0 L +KASEMAN K EY1 S M AH0 N +KASER K EY1 Z ER0 +KASESE K AH0 S IY1 Z IY0 +KASEY K AE1 S IY0 +KASH K AE1 SH +KASHA K AA1 SH 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K IH1 N S ER0 +KINSEY K IH1 N Z IY0 +KINSHASA K IH0 N SH AA1 S AH0 +KINSHASA(2) K IH0 N SH AE1 S AH0 +KINSHIP K IH1 N SH IH2 P +KINSINGER K IH1 N S IH0 N JH ER0 +KINSLER K IH1 N S AH0 L ER0 +KINSLER(2) K IH1 N S L ER0 +KINSLEY K IH1 N Z L IY0 +KINSLEY'S K IH1 N Z L IY0 Z +KINSLOW K IH1 N S L OW2 +KINSMAN K IH1 N Z M AE2 N +KINST K IH1 N S T +KINSTLER K IH1 N S T L ER0 +KINSTON K IH1 N S T AH0 N +KINT K IH1 N T +KINTER K IH1 N T ER0 +KINTIGH K IH1 N T AY0 +KINTNER K IH1 N T N ER0 +KINTON K IH1 N T AH0 N +KINTZ K IH1 N T S +KINTZEL K IH1 N T Z AH0 L +KINYON K IH1 N Y AH0 N +KINZEL K IH1 N Z AH0 L +KINZER K IH1 N Z ER0 +KINZEY K IH1 N Z IY0 +KINZIE K IH1 N Z IY0 +KINZLER K IH1 N Z L ER0 +KINZLMAIER K IH1 N Z AH0 L M AY2 ER0 +KIOSK K IY1 AO2 S K +KIOSKS K IY1 AO2 S K S +KIOUS K AY1 AH0 S +KIP K IH1 P +KIPER K AY1 P ER0 +KIPFER K IH1 P F ER0 +KIPLING K IH1 P L IH0 NG +KIPLINGER K IH1 P AH0 L IH0 NG ER0 +KIPLINGER(2) K IH1 P L IH0 NG ER0 +KIPLINGER'S K IH1 P L IH2 NG ER0 Z +KIPNIS K IH1 P N IH0 S +KIPP K IH1 P +KIPPER K IH1 P ER0 +KIPPERMAN K IH1 P ER0 M AH0 N +KIPPERS K IH1 P ER0 Z +KIPPES K IH1 P S +KIPPUR K IH1 P ER0 +KIR K IH1 R +KIRA K IH1 R AA0 +KIRACOFE K IH1 R AH0 K OW2 F +KIRALY K IH1 R AH0 L IY0 +KIRBY K ER1 B IY0 +KIRBY'S K ER1 B IY0 Z +KIRCH K ER1 K +KIRCHBERG K ER1 K B ER0 G +KIRCHBERG(2) K ER1 CH B ER0 G +KIRCHBERGER K ER1 CH B ER0 G ER0 +KIRCHEN K ER1 K AH0 N +KIRCHER K ER1 K ER0 +KIRCHGESSNER K ER1 K G IH0 S N ER0 +KIRCHHOFER K ER1 K HH AH0 F ER0 +KIRCHHOFF K ER1 K HH AO0 F +KIRCHMAN K ER1 K M AH0 N +KIRCHNER K ER1 K N ER0 +KIRCHNERS K ER1 K N ER0 Z +KIRCHOFF K ER1 K HH AO0 F +KIRGAN K ER1 G AH0 N +KIRGIZ K IH1 R G IH0 Z +KIRI K IH1 R IY0 +KIRIBATI K IH2 R IH1 B AA1 T IY0 +KIRIN K IH1 R IH0 N +KIRK K ER1 K +KIRK'S K ER1 K S +KIRKBRIDE K ER1 K B R AY0 D +KIRKBY K ER1 K B IY0 +KIRKEBY K ER1 K IH0 B IY0 +KIRKENDALL K ER0 K EH1 N D AH0 L +KIRKENDOLL K ER0 K EH1 N D OW0 L +KIRKER K ER1 K ER0 +KIRKEY K ER1 K IY0 +KIRKHAM K ER1 K HH AH0 M +KIRKHART K ER1 K HH AA0 R T +KIRKLAND K ER1 K L AH0 N D +KIRKLAND'S K ER1 K L AH0 N D Z +KIRKLEY K ER1 K L IY0 +KIRKLIN K ER1 K L IH0 N +KIRKMAN K ER1 K M AH0 N +KIRKNER K ER1 K N ER0 +KIRKPATRICK K ER0 K P AE1 T R IH0 K +KIRKPATRICK(2) K ER0 P AE1 T R IH0 K +KIRKS K ER1 K S +KIRKSEY K ER1 K S IY0 +KIRKUK K IH2 R K UH1 K +KIRKUM K IH1 R K AH0 M +KIRKWOOD K ER1 K W UH0 D +KIRLEY K ER1 L IY0 +KIRLIN K ER1 L IH0 N +KIRMSE K ER1 M S IY0 +KIRN K ER1 N +KIRNAN K ER1 N AH0 N +KIRNER K ER1 N ER0 +KIROUAC K AY1 R AW0 AE0 K +KIROV K IH1 R AA0 V +KIRSCH K ER1 SH +KIRSCHBAUM K ER1 SH B AW0 M +KIRSCHENBAUM K ER1 SH AH0 N B AW0 M +KIRSCHENMANN K ER1 SH AH0 N M AH0 N +KIRSCHMAN K ER1 SH M AH0 N +KIRSCHNER K ER1 SH N ER0 +KIRSH K ER1 SH +KIRSHBAUM K ER1 SH B AW2 M +KIRSHENBAUM K ER1 SH AH0 N B AW0 M +KIRSHFINK K ER1 SH F IH0 NG K +KIRSHNER K ER1 SH N ER0 +KIRST K ER1 S T +KIRSTEIN K ER1 S T AY0 N +KIRSTEIN(2) K ER1 S T IY0 N +KIRSTEN K ER1 S T AH0 N +KIRSTIE K ER1 S T IY0 +KIRSTIN K ER1 S T IH0 N +KIRT K ER1 T +KIRTLAND K ER1 T L AH0 N D +KIRTLEY K ER1 T L IY0 +KIRTON K ER1 T AH0 N +KIRTS K ER1 T S +KIRVEN K ER1 V AH0 N +KIRWAN K ER1 W AO0 N +KIRWIN K ER1 W IH0 N +KIRYAS K IH1 R Y AH0 S +KIRYAS(2) K IH2 R Y AA1 S +KIRYAT K IH1 R Y AH0 T +KIRYAT(2) K IH2 R Y AA1 T +KIS K IH1 S +KISAMORE K IY0 S AA1 M AO0 R +KISAN K IH1 Z AH0 N +KISCH K IH1 SH +KISCHELL K IH1 SH AH0 L +KISCO K IH1 S K OW0 +KISE K AY1 Z +KISER K AY1 Z ER0 +KISH K IH1 SH +KISHA K IH1 SH AH0 +KISHBAUGH K IH1 SH B AW0 +KISHI K IY1 SH IY0 +KISHORE K IY1 SH AO2 R +KISIEL K IH1 S IY0 L +KISKA K IH1 S K AH0 +KISKA'S K IH1 S K AH0 Z +KISLER K IH1 S AH0 L ER0 +KISLER(2) K IH1 S L ER0 +KISLING K IH1 S AH0 L IH0 NG +KISLING(2) K IH1 S L IH0 NG +KISMAYU K IH0 S M AA1 Y UW0 +KISMAYU(2) K IH0 Z M AA1 Y UW0 +KISMET K IH1 Z M IH0 T +KISMETS K IH1 Z M IH0 T S +KISNER K IH1 S N ER0 +KISOR K AY1 Z ER0 +KISS K IH1 S +KISSACK K IH1 S AH0 K +KISSAM K IH1 S AH0 M +KISSANE K IH1 S AH0 N +KISSED K IH1 S T +KISSEE K IH1 S IY1 +KISSEL K IH1 S AH0 L +KISSELL K IH1 S AH0 L +KISSER K IH1 S ER0 +KISSES K IH1 S AH0 Z +KISSES(2) K IH1 S IH0 Z +KISSICK K IH1 S IH0 K +KISSIMMEE K IH0 S IH1 M IY0 +KISSING K IH1 S IH0 NG +KISSINGER K IH1 S IH0 N JH ER0 +KISSINGER'S K IH1 S IH0 N JH ER0 Z +KISSLER K IH1 S L ER0 +KISSLING K IH1 S L IH0 NG +KISSNER K IH1 S N ER0 +KIST K IH1 S T +KISTER K IH1 S T ER0 +KISTLER K IH1 S T L ER0 +KISTNER K IH1 S T N ER0 +KISZCZAK K IH1 Z AE0 K +KISZCZAK(2) K IH1 SH AE0 K +KIT K IH1 T +KITA K IY1 T AH0 +KITAGAWA K IY0 T AA0 G AA1 W AH0 +KITAJIMA K IY2 T AH0 JH IY1 M AH0 +KITAMURA K IY0 T AA0 M UH1 R AH0 +KITCAT K IH1 T K AE2 T +KITCH K IH1 CH +KITCHEL K IH1 CH AH0 L +KITCHELL K IH1 CH AH0 L +KITCHEN K IH1 CH AH0 N +KITCHEN'S K IH1 CH AH0 N Z +KITCHENAID K IH1 CH AH0 N EY2 D +KITCHENER K IH1 CH AH0 N ER0 +KITCHENER(2) K IH1 CH N ER0 +KITCHENETTE K IH2 CH AH0 N EH1 T +KITCHENS K IH1 CH AH0 N Z +KITCHENWARE K IH1 CH AH0 N W EH2 R +KITCHIN K IH1 CH IH0 N +KITCHING K IH1 CH IH0 NG +KITCHINGS K IH1 CH IH0 NG Z +KITE K AY1 T +KITES K AY1 T S +KITHCART K IH1 TH K AA2 R T +KITIMAT K IH1 T IH0 M AE0 T +KITING K AY1 T IH0 NG +KITMAN K IH1 T M AH0 N +KITNER K IH1 T N ER0 +KITOWSKI K IH0 T AO1 F S K IY0 +KITS K IH1 T S +KITSCH K IH1 CH +KITSON K IH1 T S AH0 N +KITT K IH1 T +KITTANEH K IH0 T AA1 N EH2 +KITTEL K IH1 T AH0 L +KITTELL K IH1 T AH0 L +KITTELSON K IH1 T IH0 L S AH0 N +KITTEN K IH1 T AH0 N +KITTENS K IH1 T AH0 N Z +KITTERMAN K IH1 T ER0 M AH0 N +KITTINGER K IH1 T IH0 NG ER0 +KITTIWAKE K IH1 T IH0 W EY2 K +KITTLE K IH1 T AH0 L +KITTLER K IH1 T AH0 L ER0 +KITTLES K IH1 T AH0 L Z +KITTLESON K IH1 T AH0 L S AH0 N +KITTMAN K IH1 T M AH0 N +KITTNER K IH1 T N ER0 +KITTREDGE K IH1 T R IH0 JH +KITTRELL K IH1 T R AH0 L +KITTS K IH1 T S +KITTY K IH1 T IY0 +KITZ K IH1 T S +KITZHABER K IH1 T S HH EY2 B ER0 +KITZHABER(2) K IH1 T S HH AA2 B ER0 +KITZMAN K IH1 T S M AH0 N +KITZMILLER K IH1 T S M IH2 L ER0 +KIVELA K IH1 V IH0 L AH0 +KIVETT K IH1 V IH0 T +KIVI K IH1 V IY0 +KIWANI K IH0 W AA1 N IH0 +KIWANIS K IH0 W AA1 N IH0 S +KIWI K IY1 W IY0 +KIWI'S K IY1 W IY0 Z +KIWIS K IY1 W IY0 Z +KIYOHIDA K IY2 OW0 HH IY1 D AH0 +KIYOSHI K IY0 OW1 SH IY0 +KIYOTAKA K IY2 OW0 T AA1 K AH0 +KIZER K AY1 Z ER0 +KIZZIAH K IH1 Z IY0 AH0 +KJAR K Y AA1 R +KJAR(2) K EY1 JH EY1 EY1 AA1 R +KJELL K Y EH1 L +KJELLBERG K Y EH1 L B ER0 G +KJELLBERG(2) JH EH1 L B ER0 G +KJENSTAD K Y EH1 N S T AE2 D +KJOS K Y AO1 S +KKK K EY1 K EY1 K EY1 +KLAAS K L AA1 S +KLAASSEN K L AA1 S AH0 N +KLABUNDE K L AE1 B AH0 N D +KLADSTRUP K L AE1 D S T R AH0 P +KLADSTRUP'S K L AE1 D S T R AH0 P S +KLAGES K L EY1 JH IH0 Z +KLAHN K L AE1 N +KLAHR K L AE1 R +KLAIBER K L EY1 B ER0 +KLAMATH-FALLS K L AE1 M AH0 TH F AO1 L Z +KLAMER K L EY1 M ER0 +KLAMM K L AE1 M +KLAMMER K L AE1 M ER0 +KLAMON K L EY1 M AH0 N +KLAN K L AE1 N +KLAN'S K L AE1 N Z +KLANG K L AE1 NG +KLANN K L AE1 N +KLANS K L AE1 N Z +KLANSMAN K L AE1 N Z M AH0 N +KLANSMEN K L AE1 N Z M AH0 N +KLANWATCH K L AE1 N W AA2 CH +KLAPP K L AE1 P +KLAPPER K L AE1 P ER0 +KLAPPERICH K L AE1 P ER0 IH0 K +KLAR K L AA1 R +KLARE K L EH1 R +KLARICH K L AE1 R IH0 K +KLARMAN K L AA1 R M AH0 N +KLAS K L AE1 S +KLASE K L EY1 Z +KLASEN K L EY1 S AH0 N +KLASS K L AE1 S +KLASSEN K L AE1 S AH0 N +KLATSKY K L AE1 T S K IY0 +KLATT K L AE1 T +KLAUBER K L AW1 B ER0 +KLAUER K L AW1 ER0 +KLAUS K L AW1 S +KLAUSER K L AW1 S ER0 +KLAUSING K L AW1 S IH0 NG +KLAUSNER K L AW1 S N ER0 +KLAVER K L EY1 V ER0 +KLAWITTER K L AO1 IH0 T ER0 +KLAY K L EY1 +KLAYMAN K L EY1 M AH0 N +KLEBAN K L EH1 B AH0 N +KLEBBA K L EH1 B AH0 +KLEBE K L IY1 B +KLEBER K L IY1 B ER0 +KLECK K L EH1 K +KLECKA K L EH1 K AH0 +KLECKER K L EH1 K ER0 +KLECKNER K L EH1 K N ER0 +KLECZKA K L EH1 K S K AH0 +KLEE K L IY1 +KLEE'S K L IY1 Z +KLEEMAN K L IY1 M AH0 N +KLEEN K L IY1 N +KLEENEX K L IY1 N AH0 K S +KLEER K L IH1 R +KLEES K L IY1 Z +KLEFFNER K L EH1 F N ER0 +KLEIBER K L AY1 B ER0 +KLEIER K L AY1 ER0 +KLEIMAN K L AY1 M AH0 N +KLEIN K L AY1 N +KLEIN'S K L AY1 N Z +KLEINBERG K L AY1 N B ER0 G +KLEINDIENST K L AY1 N D IY2 N S T +KLEINE K L AY1 N +KLEINER K L AY1 N ER0 +KLEINERT K L AY1 N ER0 T +KLEINFELD K L AY1 N F EH2 L D +KLEINFELTER K L AY1 N F IH0 L T ER0 +KLEINHANS K L AY1 N HH AH0 N Z +KLEINHENZ K L AY1 N HH IH0 N S +KLEINKNECHT K L AY1 NG K N IH0 K T +KLEINMAN K L AY1 N M AH0 N +KLEINPASTE K L AY1 N P EY2 S T +KLEINPETER K L AY1 N P IY0 T ER0 +KLEINSASSER K L AY1 N S AH0 S ER0 +KLEINSCHMIDT K L AY1 N SH M IH2 T +KLEINSMITH K L AY1 N S M IH0 TH +KLEINWORT K L AY1 N W ER0 T +KLEIS K L AY1 Z +KLEISS K L AY1 S +KLEIST K L AY1 S T +KLEJNA K L EY1 N ER0 +KLEM K L EH1 M +KLEMA K L EH1 M AH0 +KLEMAN K L EH1 M AH0 N +KLEMANN K L EH1 M AH0 N +KLEMENS K L EH1 M AH0 N S +KLEMENT K L EH1 M AH0 N T +KLEMM K L EH1 M +KLEMME K L EH1 M +KLEMMER K L EH1 M ER0 +KLEMP K L EH1 M P +KLEMPNER K L EH1 M P N ER0 +KLEMZ K L EH1 M Z +KLENGE K L EH1 N JH +KLENK K L EH1 NG K +KLENKE K L EH1 NG K +KLENSCH K L EH1 N SH +KLEPAC K L EH1 P AH0 K +KLEPFER K L EH1 P F ER0 +KLEPPE K L EH1 P +KLEPPER K L EH1 P ER0 +KLEPPINGER K L EH1 P IH0 NG G ER0 +KLEPTOCRAT K L EH1 P T AH0 K R AE0 T +KLEPTOMANIAC K L EH2 P T AH0 M EY1 N IY0 AE0 K +KLERK K L ER1 K +KLERK'S K L ER1 K S +KLESCH K L EH1 SH +KLESKEN K L EH1 S K AH0 N +KLESS K L EH1 S +KLETT K L EH1 T +KLEUBECK K L UW1 B EH0 K +KLEVE K L IY1 V +KLEVEN K L IY1 V AH0 N +KLEVER K L EH1 V ER0 +KLEY K L EY1 +KLEZMATIC K L EH0 Z M AE1 T IH0 K +KLEZMATICS K L EH0 Z M AE1 T IH0 K S +KLEZMER K L EH1 Z M ER0 +KLICH K L IH1 CH +KLICK K L IH1 K +KLICKOVIC K L IH1 K AH0 V IH2 K +KLIEBERT K L IY1 B ER0 T +KLIEG K L IY1 G +KLIEMAN K L AY1 M AH0 N +KLIER K L AY1 ER0 +KLIETHERMES K L IY1 TH ER0 M Z +KLIEWER K L IY1 W ER0 +KLIGMAN K L IH1 G M AH0 N +KLIM K L IH1 M +KLIMA K L AY1 M AH0 +KLIMAS K L AY1 M AH0 Z +KLIMASZEWSKI K L IH0 M AH0 SH EH1 F S K IY0 +KLIMCZAK K L IH1 M CH AE0 K +KLIMEK K L IH1 M IH0 K +KLIMENT K L AY1 M AH0 N T +KLIMER K L IH1 M ER0 +KLIMER(2) K L AY1 M ER0 +KLIMOWICZ K L IH1 M AH0 V IH0 CH +KLINCK K L IH1 NG K +KLINDT K L IH1 N T +KLINDWORTH K L IH1 N D W ER0 TH +KLINE K L AY1 N +KLINEDINST K L IH1 N IH0 D IH0 N S T +KLINEDINST(2) K L AY1 N D IH0 N S T +KLINEFELTER K L IH1 N IH0 F IH0 L T ER0 +KLINEFELTER(2) K L AY1 N F IH0 L T ER0 +KLING K L IH1 NG +KLINGAMAN K L IH1 NG G AH0 M AH0 N +KLINGBEIL K L IH1 NG B AY0 L +KLINGBERG K L IH1 NG B ER0 G +KLINGE K L IH1 N JH +KLINGEL K L IH1 NG G AH0 L +KLINGENBERG K L IH1 NG AH0 N B ER0 G +KLINGENSMITH K L IH1 NG G IH0 N S M IH0 TH +KLINGER K L IH1 NG ER0 +KLINGER'S K L IH1 NG ER0 Z +KLINGERMAN K L IH1 NG ER0 M AH0 N +KLINGHOFFER K L IH1 NG HH AO2 F ER0 +KLINGLER K L IH1 NG G AH0 L ER0 +KLINGLER(2) K L IH1 NG G L ER0 +KLINGMAN K L IH1 NG M AH0 N +KLINGON K L IH1 NG G AH0 N +KLINGONS K L IH1 NG G AH0 N Z +KLINK K L IH1 NG K +KLINKE K L IH1 NG K +KLINKER K L IH1 NG K ER0 +KLINKHAMMER K L IH1 NG K HH AE0 M ER0 +KLINKHAMMER'S K L IH1 NG K HH AE0 M ER0 Z +KLINKNER K L IH1 NG K N ER0 +KLINT K L IH1 N T +KLINTWORTH K L IH1 N T W ER0 TH +KLINZING K L IH1 N Z IH0 NG +KLIPFEL K L IH1 P F AH0 L +KLIPP K L IH1 P +KLIPPEL K L IH1 P AH0 L +KLISH K L IH1 SH +KLITZ K L IH1 T S +KLITZKE K L IH1 T S K IY0 +KLIXSHAVICH K L IH0 K S AE1 V IH0 CH +KLOBERDANZ K L AA1 B ER0 D AH0 N S +KLOC K L AA1 K +KLOCEK K L OW1 S IH0 K +KLOCK K L AA1 K +KLOCKE K L AA1 K +KLOECKNER K L OW1 K N ER0 +KLOEHN K L OW1 N +KLOEPFER K L OW1 P F ER0 +KLOEPPEL K L OW1 P AH0 L +KLOEPPER K L OW1 P ER0 +KLOIBER K L OY1 B ER0 +KLOM K L AO1 M +KLOMP K L AA1 M P +KLONDIKE K L AA1 N D AY2 K +KLONOWSKI K L AH0 N AO1 F S K IY0 +KLONTZ K L AA1 N T S +KLOOS K L UW1 Z +KLOOSTER K L UW1 S T ER0 +KLOOSTERMAN K L UW1 S T ER0 M AH0 N +KLOPF K L AA1 P F +KLOPFENSTEIN K L AA1 P F AH0 N S T AY0 N +KLOPFENSTEIN(2) K L AA1 P F AH0 N S T IY0 N +KLOPFER K L AA1 P F ER0 +KLOPP K L AA1 P +KLOPPENBURG K L AA1 P AH0 N B ER0 G +KLOS K L AO1 S +KLOSE K L OW1 Z +KLOSINSKI K L AH0 S IH1 N S K IY0 +KLOSOWSKI K L AH0 S AO1 F S K IY0 +KLOSS K L AO1 S +KLOSSNER K L AA1 S N ER0 +KLOSTER K L AO1 S T ER0 +KLOSTERMAN K L AA1 S T ER0 M AH0 N +KLOSTERMANN K L AA1 S T ER0 M AH0 N +KLOTH K L AA1 TH +KLOTZ K L AA1 T S +KLOTZBACH K L AA1 T S B AA0 K +KLU K L UW1 +KLU(2) K EY2 EH2 L Y UW1 +KLUCEVSEK K L UW0 S EH1 V S EH0 K +KLUCK K L AH1 K +KLUDT K L AH1 D T +KLUENDER K L UH1 N D ER0 +KLUESNER K L UH1 S N ER0 +KLUEVER K L UH1 V ER0 +KLUG K L AH1 G +KLUGE K L UW1 JH +KLUGE'S K L UW1 JH IH0 Z +KLUGER K L UW1 G ER0 +KLUGH K L AH1 +KLUGMAN K L AH1 G M AH0 N +KLUGT K L AH1 T +KLUKAS K L UW1 K AH0 Z +KLUMB K L AH1 M +KLUMP K L AH1 M P +KLUMPP K L AH1 M P +KLUNDER K L AH1 N D ER0 +KLUNDT K L AH1 N T +KLUNK K L AH1 NG K +KLUS K L AH1 S +KLUSMAN K L AH1 S M AH0 N +KLUTE K L UW1 T +KLUTH K L UW1 TH +KLUTTS K L AH1 T S +KLUTTZ K L AH1 T S +KLUTZ K L AH1 T S +KLUTZNICK K L AH1 T S N IH0 K +KLUVER K L UW1 V ER0 +KLUWER K L UW1 W ER0 +KLUX K L AH1 K S +KLYM K L IH1 M +KLYNVELD K L IH1 N V EH2 L D +KMART K EY1 M AA2 R T +KMART'S K EY1 M AA2 R T S +KMETZ K AH0 M EH1 T S +KMIEC K AH0 M IY1 K +KMIECIK K AH0 M IY1 CH IH0 K +KNAACK N AA1 K +KNAAK N AA1 K +KNAB N AE1 B +KNABB N AE1 B +KNABE N EY1 B +KNABLE N EY1 B AH0 L +KNACK N AE1 K +KNACKS N AE1 K S +KNACKSTEDT N AE1 K S T IH0 T +KNAGGS N AE1 G Z +KNAPE N EY1 P +KNAPIK N AE1 P IH0 K +KNAPKE N EY1 P K +KNAPP N AE1 P +KNAPP'S N AE1 P S +KNAPPENBERGER N AE1 P AH0 N B ER0 G ER0 +KNAPPER N AE1 P ER0 +KNAPSACK N AE1 P S AE2 K +KNAPTON N AE1 P T AH0 N +KNARR N AE1 R +KNAUB N AO1 B +KNAUER N AW1 ER0 +KNAUF N AO1 F +KNAUFF N AO1 F +KNAUP N AO1 P +KNAUS N AO1 Z +KNAUSS N AO1 S +KNAVE N EY1 V +KNAVES N EY1 V Z +KNBC K EY1 EH1 N B IY1 S IY1 +KNEAD N IY1 D +KNEADING N IY1 D IH0 NG +KNEAFSEY N IY1 F S IY0 +KNEALE N IY1 L +KNEBEL N EH1 B AH0 L +KNECHT N EH1 K T +KNECHTEL N EH1 K T AH0 L +KNEE N IY1 +KNEEBONE N IY1 B OW2 N +KNEECAP N IY1 K AE2 P +KNEECAPS N IY1 K AE2 P S +KNEECE N IY1 S +KNEED N IY1 D +KNEEING N IY1 IH0 NG +KNEEL N IY1 L +KNEELAND N IY1 L AH0 N D +KNEELING N IY1 L IH0 NG +KNEER N IH1 R +KNEES N IY1 Z +KNEIP N IY1 P +KNEISEL N AY1 S AH0 L +KNEISLEY N IY1 S L IY0 +KNELL N EH1 L +KNELLER N EH1 L ER0 +KNELT N EH1 L T +KNEPP N EH1 P +KNEPPER N EH1 P ER0 +KNERR N EH1 R +KNESS N EH1 S +KNESSET N EH1 S AH0 T +KNESSET(2) K N EH1 S AH0 T +KNESSET(3) K AH0 N EH1 S AH0 T +KNEW N UW1 +KNEW(2) N Y UW1 +KNEZEVICH N EH1 Z IH0 V IH0 CH +KNICELY N AY1 S L IY0 +KNICK N IH1 K +KNICK-KNACK N IH1 K N AE1 K +KNICK-KNACKS N IH1 K N AE1 K S +KNICKER N IH1 K ER0 +KNICKERBOCKER N IH1 K ER0 B AA2 K ER0 +KNICKERBOCKERED N IH1 K ER0 B AA2 K ER0 D +KNICKERBOCKERS N IH1 K ER0 B AA2 K ER0 Z +KNICKERS N IH1 K ER0 Z +KNICKKNACK N IH1 K N AE2 K +KNICKKNACKS N IH1 K N AE2 K S +KNICKS N IH1 K S +KNICKS' N IH1 K S +KNIEF N IY1 F +KNIEP N IY1 P +KNIERIEM N IY1 R IY2 M +KNIERIM N IH1 R IH0 M +KNIES N AY1 Z +KNIESS N IY1 S +KNIEVEL K AH0 N IY1 V AH0 L +KNIEVEL(2) N IY1 V AH0 L +KNIFE N AY1 F +KNIFED N AY1 F T +KNIFELIKE N AY1 F L AY2 K +KNIFEPOINT N AY1 F P OY2 N T +KNIFFEN N IH1 F AH0 N +KNIFFIN N IH1 F IH0 N +KNIFING N AY1 F IH0 NG +KNIFINGS N AY1 F IH0 NG Z +KNIGGE N IH1 G +KNIGHT N AY1 T +KNIGHT'S N AY1 T S +KNIGHTED N AY1 T IH0 D +KNIGHTEN N AY1 T AH0 N +KNIGHTHOOD N AY1 T HH UH2 D +KNIGHTLY N AY1 T L IY0 +KNIGHTON N AY1 T AH0 N +KNIGHTS N AY1 T S +KNILL N IH1 L +KNIN K EY1 EH1 N AY1 EH1 N +KNIN(2) K N IH1 N +KNIN(3) N IH1 N +KNIPE N AY1 P +KNIPFER N IH1 P F ER0 +KNIPL N IH1 P AH0 L +KNIPP N IH1 P +KNIPPA N IH1 P AH0 +KNIPPEL N IH1 P AH0 L +KNIPPENBERG N IH1 P AH0 N B ER0 G +KNIPPER N IH1 P ER0 +KNIPPLE N IH1 P AH0 L +KNISELY N AY1 Z L IY0 +KNISKERN N IH1 S K ER0 N +KNISLEY N IH1 S L IY0 +KNISPEL N IH1 S P AH0 L +KNISS N IH1 S +KNIT N IH1 T +KNITS N IH1 T S +KNITTED N IH1 T AH0 D +KNITTED(2) N IH1 T IH0 D +KNITTEL N IH1 T AH0 L +KNITTER N IH1 T ER0 +KNITTING N IH1 T IH0 NG +KNITTLE N IH1 T AH0 L +KNITWEAR N IH1 T W EH2 R +KNIVES N AY1 V Z +KNIVETON N AY1 V T AH0 N +KNOB N AA1 B +KNOBBE N AA1 B +KNOBBY N AA1 B IY0 +KNOBEL N OW1 B AH0 L +KNOBLAUCH N AA1 B L AW0 K +KNOBLE N OW1 B AH0 L +KNOBLOCH N AA1 B L AH0 K +KNOBLOCK N AA1 B L AA0 K +KNOBS N AA1 B Z +KNOCH N AA1 K +KNOCHE N AA1 CH +KNOCHEL N AA1 K AH0 L +KNOCK N AA1 K +KNOCKDOWN N AA1 K D AW2 N +KNOCKED N AA1 K T +KNOCKING N AA1 K IH0 NG +KNOCKOFF N AA1 K AO2 F +KNOCKOFFS N AA1 K AO2 F S +KNOCKOUT N AA1 K AW2 T +KNOCKOUTS N AA1 K AW2 T S +KNOCKS N AA1 K S +KNODE N OW1 D +KNODEL N OW1 D AH0 L +KNODLE N OW1 D AH0 L +KNOEBEL N OW1 B AH0 L +KNOEDLER N OW1 D AH0 L ER0 +KNOEDLER(2) N OW1 D L ER0 +KNOELL N OW1 L +KNOFF N AO1 F +KNOGO N OW1 G OW0 +KNOKE N OW1 K +KNOLES N OW1 L Z +KNOLL N OW1 L +KNOLL'S N OW1 L Z +KNOOP N UW1 P +KNOP N AA1 P +KNOPE N OW1 P +KNOPF N AA1 P F +KNOPF(2) N AA1 F +KNOPP N AA1 P +KNORR N AO1 R +KNOST N AA1 S T +KNOT N AA1 T +KNOTEK N OW1 T IH0 K +KNOTH N AA1 TH +KNOTS N AA1 T S +KNOTT N AA1 T +KNOTT'S N AA1 T S +KNOTTED N AA1 T IH0 D +KNOTTS N AA1 T S +KNOTTY N AA1 T IY0 +KNOUFF N OW1 F +KNOUS N AO1 S +KNOUSE N AW1 S +KNOW N OW1 +KNOW-HOW N OW1 HH AW2 +KNOWED N OW1 D +KNOWER N OW1 ER0 +KNOWING N OW1 IH0 NG +KNOWINGLY N OW1 IH0 NG L IY0 +KNOWLEDGE N AA1 L AH0 JH +KNOWLEDGE(2) N AA1 L IH0 JH +KNOWLEDGEABLE N AA1 L AH0 JH AH0 B AH0 L +KNOWLEDGEABLY N AA1 L IH0 JH AH0 B L IY0 +KNOWLEDGEWARE N AA1 L IH0 JH W EH2 R +KNOWLES N OW1 L Z +KNOWLTON N OW1 L T AH0 N +KNOWN N OW1 N +KNOWNS N OW1 N Z +KNOWS N OW1 Z +KNOX N AA1 K S +KNOX'S N AA1 K S IH0 Z +KNOXVILLE N AA1 K S V IH0 L +KNOY N OY1 +KNUCKLE N AH1 K AH0 L +KNUCKLED N AH1 K AH0 L D +KNUCKLES N AH1 K AH0 L Z +KNUDSEN K N UW1 D S AH0 N +KNUDSEN'S K N UW1 D S AH0 N Z +KNUDSON K N UW1 D S AH0 N +KNUDTSON K N UW1 T S AH0 N +KNUEPPEL K N UW1 P AH0 L +KNUPP K N AH1 P +KNUST K N AH1 S T +KNUT K N AH1 T +KNUTE K N UW1 T +KNUTH K N UW1 TH +KNUTS K N AH1 T S +KNUTSEN N AH1 T S AH0 N +KNUTSON N UW1 T S AH0 N +KNUTZEN N AH1 T Z AH0 N +KO K OW1 +KOALA K OW0 AA1 L AH0 +KOALAS K OW0 AA1 L AH0 Z +KOBA K OW1 B AA0 +KOBACKER K OW1 B AE2 K ER0 +KOBAK K OW1 B AH0 K +KOBAYASHI K OW2 B AA0 Y AA1 SH IY0 +KOBE K OW1 B EY0 +KOBE'S K OW1 B EY0 Z +KOBEL K OW1 B AH0 L +KOBER K OW1 B ER0 +KOBERSTEIN K OW1 B ER0 S T AY0 N +KOBERSTEIN(2) K OW1 B ER0 S T IY0 N +KOBES K OW1 B Z +KOBLE K OW1 B AH0 L +KOBLER K OW1 B AH0 L ER0 +KOBLER(2) K OW1 B L ER0 +KOBREN K AA1 B R AH0 N +KOBRIN K AA1 B R IH0 N +KOBRIN'S K AA1 B R IH0 N Z +KOBS K AA1 B Z +KOBUS K OW1 B AH0 S +KOBY K OW1 B IY0 +KOBYLARZ K AH0 B IH1 L ER0 Z +KOBYLINSKI K AH0 B IH0 L IH1 N S K IY0 +KOBZA K AA1 B Z AH0 +KOCAK K OW1 K AH0 K +KOCH K AO1 CH +KOCH(2) K OW1 K +KOCHAN K AA1 K AH0 N +KOCHANEK K AA1 K AH0 N IH0 K +KOCHANOWSKI K AH0 HH AH0 N AO1 F S K IY0 +KOCHANSKI K AH0 HH AE1 N S K IY0 +KOCHEL K AA1 K AH0 L +KOCHENDORFER K AA1 K IH0 N D AO0 R F ER0 +KOCHER K AO1 CH ER0 +KOCHEVAR K AH0 HH EH1 V ER0 +KOCHIS K AA1 K IH0 S +KOCHMAN K AA1 K M AH0 N +KOCI K OW1 S IY0 +KOCIAN K OW1 SH AH0 N +KOCIEMBA K OW2 S IY0 EH1 M B AH0 +KOCINSKI K AH0 CH IH1 N S K IY0 +KOCIOLEK K OW2 S IY0 OW1 L EH0 K +KOCIS K OW1 S IH0 S +KOCK K AA1 K +KOCOUREK K AH0 K UH1 R EH0 K +KOCSIS K AA1 K S IH0 S +KOCUR K OW1 K ER0 +KOCUR'S K OW1 K ER0 Z +KOCUREK K AH0 K Y UW1 R EH0 K +KODACOLOR K OW1 D AH0 K AH2 L ER0 +KODAK K OW1 D AE2 K +KODAK'S K OW1 D AE2 K S +KODAMA K OW0 D AA1 M AH0 +KODIAK K OW1 D IY0 AE2 K +KODO K OW1 D OW0 +KOEBEL K OW1 B AH0 L +KOEDINGER K OW1 D IH0 NG ER0 +KOEGEL K OW1 G AH0 L +KOEGLER K OW1 G AH0 L ER0 +KOEGLER(2) K OW1 G L ER0 +KOEHL K OW1 L +KOEHLER K OW1 L ER0 +KOEHN K OW1 N +KOEHNE K OW1 N +KOEHNEN K OW1 N AH0 N +KOEKI K OW1 K IY0 +KOELLE K OW1 L +KOELLER K OW1 L ER0 +KOELLING K OW1 L IH0 NG +KOELSCH K OW1 L SH +KOELZER K OW1 L Z ER0 +KOEN K OW1 N +KOENEMAN K AA1 IY0 N M AH0 N +KOENEN K OW1 N AH0 N +KOENIG K ER1 N IH0 G +KOENIGS K ER1 N IH0 G Z +KOENIGSBERG K OW1 N IH0 G Z B ER0 G +KOENIGSFELD K OW1 N IH0 G Z F EH2 L D +KOEP K OW1 P +KOEPKE K OW1 P K +KOEPP K OW1 P +KOEPPE K OW1 P +KOEPPEL K OW1 P AH0 L +KOEPPEN K OW1 P AH0 N +KOEPSEL K OW1 P S EH0 L +KOEPSELL K OW1 P S EH0 L +KOERBER K AO1 R B ER0 +KOERNER K AO1 R N ER0 +KOERNKE K AO1 R N AH0 K IY0 +KOESTER K AO1 S T ER0 +KOESTERS K AO1 S T ER0 Z +KOESTLER K OW1 S T L ER0 +KOESTNER K OW1 S T N ER0 +KOETHER K OW1 DH ER0 +KOETJE K OW1 JH AH0 +KOETTER K OW1 T ER0 +KOETTING K OW1 T IH0 NG +KOFF K AO1 F +KOFFLER K AA1 F AH0 L ER0 +KOFFLER(2) K AA1 F L ER0 +KOFFMAN K AO1 F M AH0 N +KOFI K OW1 F IY0 +KOFLER K OW1 F AH0 L ER0 +KOFLER(2) K OW1 F L ER0 +KOFOED K OW1 F OW0 D +KOFRON K AA1 F R AH0 N +KOFU K OW1 F UW0 +KOGA K OW1 G AH0 +KOGAN K OW1 G AH0 N +KOGEL K OW1 G AH0 L +KOGER K OW1 G ER0 +KOGI K OW1 G IY0 +KOGLER K OW1 G AH0 L ER0 +KOGLER(2) K OW1 G L ER0 +KOGLIN K AA1 G L IH0 N +KOGUT K OW1 G AH0 T +KOGYO K OW1 JH Y OW0 +KOH K OW1 +KOHAN K OW1 HH AA0 N +KOHEN K OW1 AH0 N +KOHL K OW1 L +KOHL'S K OW1 L Z +KOHLBECK K OW1 L B EH2 K +KOHLBERG K OW1 L B ER0 G +KOHLBERG'S K OW1 L B ER0 G Z +KOHLENBERG K OW1 L AH0 N B ER0 G +KOHLER K OW1 L ER0 +KOHLES K OW1 HH AH0 L Z +KOHLHEPP K OW1 L HH IH0 P +KOHLHOFF K OW1 L HH AO2 F +KOHLI K OW1 L IY0 +KOHLMAN K OW1 L M AH0 N +KOHLMANN K OW1 L M AH0 N +KOHLMEIER K OW1 L M AY0 ER0 +KOHLMEYER K OW1 L M AY0 ER0 +KOHLRABI K AO0 L R AA1 B IY0 +KOHLS K OW1 L Z +KOHN K AA1 N +KOHNE K OW1 N +KOHNEN K OW1 N AH0 N +KOHNER K OW1 N ER0 +KOHNKE K AA1 NG K +KOHOUT K OW1 AW0 T +KOHR K AO1 R +KOHRING K AO1 R IH0 NG +KOHRS K AO1 R Z +KOHTARO K OW0 T AA1 R OW0 +KOHTORO K OW0 T AO1 R OW0 +KOHUT K OW1 AH0 T +KOICHI K OW0 IY1 CH IY0 +KOIDO K OY1 D OW0 +KOIKE K OY1 K +KOITO K OY1 T OW0 +KOITO(2) K OY1 T OW2 +KOITO(3) K OW2 IY1 T OW2 +KOIVISTO K OY2 V IH1 S T OW0 +KOJAK K OW1 JH AE2 K +KOJI K OW1 JH IY0 +KOJIMA K AH0 Y AY1 M AH0 +KOK K AA1 K +KOKAN K OW1 K AH0 N +KOKAN'S K OW1 K AH0 N Z +KOKATE K OW2 K AA1 T EY2 +KOKATE(2) K OW2 K AA1 T EY0 +KOKATE'S K OW2 K AA1 T EY2 Z +KOKATE'S(2) K OW2 K AA1 T EY0 Z +KOKE K OW1 K +KOKEN K OW1 K AH0 N +KOKER K OW1 K ER0 +KOKES K OW1 K S +KOKESH K AA1 K IH0 SH +KOKI K OW1 K IY0 +KOKINDA K AH0 K IH1 N D AH0 +KOKO K OW1 K OW0 +KOKO'S K OW1 K OW0 Z +KOKOMO K OW1 K AH0 M OW2 +KOKOSCHKA K AH0 K AO1 SH K AH0 +KOKOSZKA K AH0 K AA1 SH K AH0 +KOKUSAI K AA1 K Y UW0 S AY2 +KOL K OW1 L +KOLAKOWSKI K AH0 L AH0 K AO1 F S K IY0 +KOLANDER K AA1 L AH0 N D ER0 +KOLAR K OW1 L ER0 +KOLARIK K AH0 L AA1 R IH0 K +KOLASA K AH0 L AA1 S AH0 +KOLASINSKI K AH0 L AH0 S IH1 N S K IY0 +KOLB K OW1 L B +KOLBE K OW1 L B +KOLBECK K AA1 L B EH0 K +KOLBER K OW1 L B ER0 +KOLBERG K OW1 L B ER0 G +KOLBERT K OW1 L B ER0 T +KOLBO K OW1 L B OW0 +KOLDEN K OW1 L D AH0 N +KOLE K OW1 L +KOLEK K OW1 L EH0 K +KOLENDA K AH0 L EH1 N D AH0 +KOLESAR K AH0 L EH1 S ER0 +KOLICH K AA1 L IH0 HH +KOLIN K OW1 L IH0 N +KOLINSKI K AH0 L IH1 N S K IY0 +KOLK K OW1 K +KOLKA K OW1 L K AH0 +KOLKER K OW1 K ER0 +KOLL K AA1 L +KOLLAR K AA1 L ER0 +KOLLASCH K AA1 L AH0 SH +KOLLATH K AA1 L AH0 TH +KOLLE K AA1 L +KOLLEK K AO1 L EH0 K +KOLLEK(2) K OW1 L EH0 K +KOLLER K AA1 L ER0 +KOLLI K AA1 L IY0 +KOLLING K AA1 L IH0 NG +KOLLMAN K AA1 L M AH0 N +KOLLMANN K AA1 L M AH0 N +KOLLMEYER K AA1 L M AY0 ER0 +KOLLMORGEN K OW0 L M AO1 R G AH0 N +KOLLMORGEN(2) K AO0 L M AO1 R G AH0 N +KOLM K OW1 M +KOLMAN K AA1 L M AH0 N +KOLODNY K AH0 L AA1 D N IY0 +KOLODZIEJ K AH0 L AA1 D Z IY0 JH +KOLODZIEJSKI K AH0 L AA2 JH IY0 EY1 S K IY0 +KOLOJEJCHICK K OW2 L OW0 JH EY1 CH IH0 K +KOLOKOFF K AA1 L AH0 K AO2 F +KOLOSKI K AH0 L AW1 S K IY0 +KOLOWICH K AA1 L AH0 W IH0 CH +KOLP K OW1 L P +KOLSKI K OW1 L S K IY0 +KOLSKY K OW1 L S K IY0 +KOLSTAD K OW1 L S T AH0 D +KOLTER K OW1 L T ER0 +KOLTERMAN K OW1 L T ER0 M AH0 N +KOLTON K OW1 L T AH0 N +KOLTS K OW1 L T S +KOLTZ K OW1 L T S +KOMABA K OW0 M AA1 B AH0 +KOMAG K OW1 M AE0 G +KOMAN K OW1 M AH0 N +KOMANSKY K OW0 M AE1 N S K IY0 +KOMAR K OW1 M ER0 +KOMARA K OW0 M AA1 R AH0 +KOMAREK K OW0 M AA1 R EH0 K +KOMARIK K OW0 M AA1 R IH0 K +KOMARIK'S K OW0 M AA1 R IH0 K S +KOMATANI K AO1 M AH0 T AA1 N IY2 +KOMATSU K OW0 M AA1 T S UW1 +KOMBAT K AA1 M B AE0 T +KOMER K OW1 M ER0 +KOMERCNI K OW2 M ER1 CH N IY0 +KOMI K OW1 M IY0 +KOMINE K OW1 M AY2 N +KOMINEFT K AA1 M IH0 N EH0 F T +KOMINEK K AO1 M AH0 N EH2 K +KOMISAR K AH0 M IH1 S ER0 +KOMISAR(2) K AA1 M IH0 S AA0 R +KOMMER K AA1 M ER0 +KOMODO K AH0 M OW1 D OW0 +KOMODO(2) K OW0 M OW1 D OW0 +KOMORI K OW0 M AO1 R IY0 +KOMORNY K OW0 M AO1 R N IY0 +KOMOROWSKI K AH0 M ER0 AO1 F S K IY0 +KOMOTO K OW0 M OW1 T OW0 +KOMP K AA1 M P +KOMPANEK K AA2 M P AA1 N EH2 K +KOMSOMOL K AA1 M S OW0 M AH0 L +KOMSOMOL'S K AA1 M S OW0 M AH0 L Z +KOMURA K OW2 M UH1 R AH0 +KON K AA1 N +KONA K OW1 N AH0 +KONAGA K AH0 N AA1 G AH0 +KONARSKI K AH0 N AA1 R S K IY0 +KONCZAL K AA1 N CH AH0 L +KONDAS K AA1 N D AH0 Z +KONDO K AA1 N D OW0 +KONDRACKI K AH0 N D R AA1 T S K IY0 +KONDRAT K AA1 N D R AH0 T +KONECNY K AH0 N EH1 K N IY0 +KONEN K AA1 N AH0 N +KONG K AO1 NG +KONG(2) K AO1 NG G +KONG'S K AO1 NG Z +KONG'S(2) K AO1 NG G Z +KONGER K AA1 NG G ER0 +KONGERS K AA1 NG G ER0 Z +KONGSBERG K AO1 NG Z B ER0 G +KONGSBERG(2) K AO1 NG G Z B ER0 G +KONGSBERG'S K AO1 NG Z B ER0 G Z +KONGSBERG'S(2) K AO1 NG G Z B ER0 G Z +KONICA K AA1 N IH0 K AH0 +KONICEK K AA1 N IH0 CH EH2 K +KONICKI K AH0 N IH1 T S K IY0 +KONIECZKA K AH0 N IY1 CH K AH0 +KONIECZNY K AH0 N IY1 CH N IY0 +KONIG K AA1 N IH0 G +KONING K OW1 N IH0 NG +KONINKLIJKE K AA2 N IH0 NG K L IY1 K IY0 +KONISHI K OW0 N IY1 SH IY0 +KONISHIROKU K AA2 N IH2 SH IH0 R OW1 K UW2 +KONITZER K AA1 N IH0 T Z ER0 +KONKEL K AA1 NG K AH0 L +KONKLE K AA1 NG K AH0 L +KONKOL K AA1 NG K AO0 L +KONNER K AA1 N ER0 +KONO K OW1 N OW0 +KONOLD K AA1 N OW0 L D +KONOP K OW1 N AH0 P +KONOPKA K AH0 N OW1 P K AH0 +KONRAD K AA1 N R AH0 D +KONRATH K AA1 N R AH0 TH +KONSTANTIN K AA1 N S T IH0 N T IY2 N +KONSULTAT K AA2 N S AH0 L T AA1 T +KONTOS K AA1 N T OW0 Z +KONTRA K AA1 N T R AH0 +KONTRAS K AA1 N T R AH0 S +KONTROLLBANK K AA1 N T R AH0 L B AE2 NG K +KONWINSKI K AH0 N V IH1 N S K IY0 +KONZ K AA1 N Z +KONZEN K AA1 N Z AH0 N +KONZI K AA1 N Z IY0 +KONZI'S K AA1 N Z IY0 Z +KOO K UW1 +KOOB K UW1 B +KOOGLER K UW1 G L ER0 +KOOI K UW1 IY0 +KOOIKER K UW1 IH0 K ER0 +KOOIMAN K UW1 IH0 M AH0 N +KOOISTRA K UW0 IH1 Z T R AH0 +KOOK K UW1 K +KOOKEN K UW1 K AH0 N +KOOKER K UH1 K ER0 +KOOKS K UW1 K S +KOOKY K UW1 K IY0 +KOOL K UW1 L +KOOLHAAS K UW1 L HH AA0 S +KOON K UW1 N +KOON'S K UW1 N Z +KOONCE K UW1 N S +KOONE K UW1 N +KOONIG K UW1 N IH0 G +KOONING K UW1 N IH0 NG +KOONS K UW1 N Z +KOONTS K UW1 N T S +KOONTZ K UW1 N T S +KOOP K UW1 P +KOOP'S K UW1 P S +KOOPMAN K UW1 P M AH0 N +KOOPMANN K UW1 P M AH0 N +KOOPS K UW1 P S +KOOR K UW1 R +KOORS K UH1 R Z +KOOS K UW1 Z +KOOSER K UW1 Z ER0 +KOOTENAY K UW1 T AH0 N EY2 +KOOY K UW1 IY0 +KOOYMAN K AA1 OY0 M AH0 N +KOPACZ K AA1 P AH0 CH +KOPAS K OW1 P AH0 Z +KOPCHEV K AA1 P CH AH0 V +KOPCZYNSKI K AH0 P CH IH1 N S K IY0 +KOPE K OW1 P +KOPEC K OW1 P IH0 K +KOPECKY K AH0 P EH1 T S K IY0 +KOPEK K OW1 P AH0 K +KOPEKS K OW1 P AH0 K S +KOPEL K OW1 P AH0 L +KOPELMAN K OW1 P AH0 L M AH0 N +KOPER K OW1 P ER0 +KOPERA K AH0 P IH1 R AH0 +KOPERSKI K AH0 P ER1 S K IY0 +KOPETSKI K AH0 P EH1 T S K IY0 +KOPF K AO1 P F +KOPINSKI K AH0 P IH1 N S K IY0 +KOPISCHKE K AH0 P IH1 SH K IY0 +KOPIT K AA1 P IH0 T +KOPKA K OW1 P K AH0 +KOPKE K OW1 P K +KOPKO K OW1 P K OW0 +KOPLAN K AA1 P L AH0 N +KOPLIN K AA1 P L IH0 N +KOPLOVITZ K AA1 P L AH0 V IH0 T S +KOPP K AA1 P +KOPPE K AA1 P +KOPPEL K AA1 P AH0 L +KOPPEL'S K AA1 P AH0 L Z +KOPPELL K AA1 P AH0 L +KOPPELMAN K AA1 P AH0 L M AH0 N +KOPPEN K AA1 P AH0 N +KOPPENHAVER K AA1 P IH0 N HH AH0 V ER0 +KOPPER K AA1 P ER0 +KOPPERS K AA1 P ER0 Z +KOPPERS' K AA1 P ER0 Z +KOPPES K AA1 P S +KOPPLE K AA1 P AH0 L +KOPPLIN K AA1 P L IH0 N +KOPRIVA K AA1 P R IH0 V AH0 +KOPROWSKI K AH0 P R AO1 F S K IY0 +KOPS K AA1 P S +KOPUSOVIC K AH0 P UW1 S AH0 V IH0 K +KOPY K AA1 P IY0 +KORA K AO1 R AH0 +KORAL K AO1 R AH0 L +KORAN K AO0 R AA1 N +KORANDA K ER0 AE1 N D AH0 +KORANIC K AO0 R AE1 N IH0 K +KORB K AO1 R B +KORBA K AO1 R B AH0 +KORBEL K AO1 R B AH0 L +KORBER K AO1 R B ER0 +KORBREN K AO1 R B R EH0 N +KORBY K AO1 R B IY0 +KORCZAK K AO1 R CH AE0 K +KORDA K AO1 R D AH0 +KORDELL K AO0 R D EH1 L +KOREA K AO2 R IY1 AH0 +KOREA(2) K R IY1 AH0 +KOREA(3) K ER0 R IY1 AH0 +KOREA'S K AO2 R IY1 AH0 Z +KOREA'S(2) K R IY1 AH0 Z +KOREA'S(3) K ER0 R IY1 AH0 Z +KOREAGATE K AO2 R IY1 AH0 G EY2 T +KOREAGATE(2) K ER0 R IY1 AH0 G EY2 T +KOREAN K AO2 R IY1 AH0 N +KOREAN(2) K R IY1 AH0 N +KOREAN(3) K ER0 R IY1 AH0 N +KOREAN'S K R IY1 AH0 N Z +KOREAN'S(2) K ER0 IY1 AH0 N Z +KOREANS K AO2 R IY1 AH0 N Z +KOREANS(2) K R IY1 AH0 N Z +KOREANS(3) K ER0 R IY1 AH0 N Z +KOREANS' K AO2 R IY1 AH0 N Z +KOREANS'(2) K R IY1 AH0 N Z +KOREANS'(3) K ER0 R IY1 AH0 N Z +KOREAS K AO1 R IY0 AH0 Z +KOREAS(2) K R IY0 AH0 Z +KOREAS(3) K ER0 R IY0 AH0 Z +KOREATOWN K ER0 IY1 AH0 T AW2 N +KORELL K AO1 R EH0 L +KOREN K AO1 R AH0 N +KORENEK K AO1 R IH0 N IH0 K +KORESH K AO2 R EH1 SH +KORESH'S K AO2 R EH1 SH AH0 Z +KORET K AO1 R AH0 T +KOREY K AO1 R IY0 +KORF K AO1 R F +KORFF K AO1 R F +KORFHAGE K AO1 R F HH IH0 JH +KORHONEN K AO1 R HH AH0 N AH0 N +KORINEK K AO1 R IH0 N IH0 K +KORMAN K AO1 R M AH0 N +KORMOS K AO1 R M OW0 Z +KORN K AO1 R N +KORNACKI K ER0 N AA1 T S K IY0 +KORNBERG K AO1 R N B ER0 G +KORNBLUM K AO1 R N B L AH0 M +KORNBLUTH K AO1 R N B L UW0 TH +KORNEGAY K AO1 R N IH0 G EY0 +KORNER K AO1 R N ER0 +KORNFELD K AO1 R N F EH0 L D +KORNHAUSER K AO1 R N HH AW0 Z ER0 +KORNREICH K AO1 R N R AY0 K +KORNS K AO1 N Z +KOROL K AO1 R AO0 L +KOROLOGOS K AO0 R AA2 L OW1 G OW0 S +KORONA K ER0 OW1 N AH0 +KOROTICH K AO1 R AH0 T IH0 CH +KORPELA K ER0 P IY1 L AH0 +KORPI K AO1 R P IY0 +KORRY K AO1 R IY0 +KORRY'S K AO1 R IY0 Z +KORSON K AO1 R S AH0 N +KORT K AO1 R T +KORTE K AO1 R T +KORTEN K AO1 R T AH0 N +KORTH K AO1 R TH +KORTHALS K AO1 R TH AH0 L Z +KORTMAN K AO1 R T M AH0 N +KORTUM K AO1 R T AH0 M +KORTZ K AO1 R T S +KORUNA K AO0 R UW1 N AA2 +KORVA K AO1 R V AA2 +KORVER K AO1 R V ER2 +KORY K AO1 R IY2 +KORYAGIN K AO2 R Y AA1 G IH0 N +KORZENIEWSKI K ER0 Z IH2 N IY0 EH1 F S K IY0 +KORZENIEWSKI(2) K AO2 R Z AH0 N UW1 F S K IY0 +KOS K AA1 S +KOSA K OW1 S AA2 +KOSAK K OW1 S AH0 K +KOSAKOWSKI K AH0 S AH0 K AO1 F S K IY2 +KOSAN K OW1 Z AH0 N +KOSANKE K AA1 S AH0 NG K +KOSANOVICH K AH0 S AE1 N AH0 V IH0 CH +KOSAR K OW1 S ER0 +KOSBERG K AO1 Z B ER0 G +KOSBIE K AA1 Z B IY0 +KOSCH K AO1 SH +KOSCHECK K AO1 S CH EH0 K +KOSCHECK'S K AO1 S CH EH0 K S +KOSCIELNIAK K AH0 S CH IY1 L N IY0 AE0 K +KOSCINSKI K AH0 S CH IH1 N S K IY0 +KOSCO K OW1 S K OW0 +KOSECOFF K OW1 S AH0 K AO0 F +KOSEK K OW1 S EH0 K +KOSEL K OW1 S AH0 L +KOSER K OW1 Z ER0 +KOSH K AA1 SH +KOSHER K OW1 SH ER0 +KOSHERED K OW1 SH ER0 D +KOSHERING K OW1 SH ER0 IH0 NG +KOSHERS K OW1 SH ER0 S +KOSIBA K OW0 S IY1 B AH0 +KOSIER K OW1 S IY0 ER0 +KOSIK K OW1 S IH0 K +KOSIN K OW1 S IH0 N +KOSINSKI K AH0 S IH1 N S K IY0 +KOSKA K OW1 S K AH0 +KOSKELA K AH0 S K IY1 L AH0 +KOSKEY K AA1 S K IY0 +KOSKI K AW1 S K IY0 +KOSKINEN K AA1 S K IH0 N AH0 N +KOSKO K OW1 S K OW0 +KOSKOTAS K AO2 S K OW1 T AH0 S +KOSKY K AA1 S K IY0 +KOSLOSKI K AH0 S L AW1 S K IY0 +KOSLOSKY K AH0 S L OW1 S K IY0 +KOSLOW K AA1 S L OW0 +KOSLOW'S K AA1 Z L OW2 Z +KOSLOWSKI K AH0 S L AO1 F S K IY0 +KOSMAN K AA1 S M AH0 N +KOSMATKA K AH0 S M AA1 T K AH0 +KOSMETSKY K AA2 Z M EH1 T S K IY0 +KOSMETSKY'S K AA2 Z M EH1 T S K IY0 Z +KOSMICKI K AH0 S M IH1 T S K IY0 +KOSNOVSKY K AA2 Z N AA1 F S K IY0 +KOSNOVSKY'S K AA2 Z N AA1 F S K IY0 Z +KOSOVO K OW1 S OW0 V OW2 +KOSOWSKI K AH0 S AO1 F S K IY0 +KOSOWSKY K AH0 S AW1 S K IY0 +KOSS K AO1 S +KOSSMAN K AO1 S M AH0 N +KOSSOW K AA1 S OW0 +KOSSUTH K AA1 S AH0 TH +KOST K AA1 S T +KOSTA K OW1 S T AH0 +KOSTAL K AA1 S T AH0 L +KOSTAS K OW1 S T AH0 Z +KOSTECKI K AH0 S T EH1 T S K IY0 +KOSTEK K AA1 S T EH0 K +KOSTELECKY K AH0 S T EH0 L EH1 T S K IY0 +KOSTELNIK K AH0 S T EH1 L N IH0 K +KOSTER K AA1 S T ER0 +KOSTIC K AA1 S T IH0 K +KOSTICK K OW1 S T IH0 K +KOSTKA K AA1 S T K AH0 +KOSTMAYER K AO1 S T M EY2 ER0 +KOSTOFF K AA1 S T AO0 F +KOSTRZEWA K AH0 S T R AH0 Z EH1 W AH0 +KOSTRZEWSKI K AO2 S T ER0 Z EH1 W S K IY0 +KOSUB K OW1 S AH0 B +KOSY K OW1 S IY0 +KOSYAKOV K OW1 S Y AA0 K AO0 V +KOSYGIN K OW1 S IH0 G IH0 N +KOSYGIN(2) K OW1 S IY0 G IH0 N +KOT K AA1 T +KOTARA K OW0 T AA1 R AH0 +KOTARSKI K AH0 T AA1 R S K IY0 +KOTAS K OW1 T AH0 Z +KOTCH K AA1 CH +KOTE K OW1 T +KOTECKI K AH0 T EH1 T S K IY0 +KOTEK K OW1 T EH2 K +KOTELES K AA1 T EH0 L EH0 Z +KOTH K AA1 TH +KOTHARI K AA1 TH ER0 IY0 +KOTHE K OW1 DH +KOTILA K AH0 T AY1 L AH0 +KOTLARZ K AA1 T L ER0 Z +KOTLER K OW1 T AH0 L ER0 +KOTLER(2) K AA1 T L ER0 +KOTLOWITZ K AA1 T L AH0 W IH0 T S +KOTO K OW1 T OW0 +KOTOWSKI K AH0 T AO1 F S K IY0 +KOTSONIS K AE2 T S OW1 N AH0 S +KOTSONIS(2) K OW0 T S OW1 N AH0 S +KOTSONIS' K AE2 T S OW1 N AH0 S +KOTSONIS'(2) K OW0 T S OW1 N AH0 S +KOTSONIS'S K AE2 T S OW1 N AH0 S IH0 Z +KOTSONIS'S(2) K OW0 T S OW1 N AH0 S IH0 Z +KOTT K AA1 T +KOTTER K AA1 T ER0 +KOTTKE K AA1 T K IY0 +KOTTLER K AA1 T L ER0 +KOTTWITZ K AA1 T W IH0 T S +KOTULA K AH0 T UW1 L AH0 +KOTZ K AA1 T S +KOTZEBUE K AA1 T S AH0 B Y UW2 +KOUBA K UW1 B AH0 +KOUDELKA K AW0 D EH1 L K AH0 +KOUGH K AW1 +KOUNS K AW1 N Z +KOUNTZ K AW1 N T S +KOURI K OW0 UH1 R IY0 +KOURIL K UW1 R AH0 L +KOUROU K UW1 R UW2 +KOURY K AW1 R IY0 +KOUYATE K AW2 Y AA1 T EY2 +KOVAC K OW1 V AH0 K +KOVACEVIC K AH0 V AH0 CH EH1 V IH0 K +KOVACEVICH K AH0 V AA1 CH IH0 V IH0 CH +KOVACH K OW1 V AA0 K +KOVACH'S K OW1 V AA0 K S +KOVACIC K AH0 V AA1 K IH0 K +KOVACICH K AH0 V AA1 CH IH0 HH +KOVACIK K AA1 V AH0 CH IH0 K +KOVACK K AA1 V AH0 K +KOVACS K OW1 V AE0 K S +KOVAKS K OW1 V AE0 K S +KOVAL K OW1 V AH0 L +KOVALCHIK K AH0 V AA1 L HH IH0 K +KOVALCIK K AA1 V AH0 L CH IH0 K +KOVALESKI K AH0 V AH0 L EH1 S K IY0 +KOVALIK K AH0 V AA1 L IH0 K +KOVALSKY K AH0 V AA1 L S K IY0 +KOVALYOV K OW1 V AA0 L Y AH0 V +KOVAR K OW1 V ER0 +KOVARIK K AH0 V AA1 R IH0 K +KOVATCH K AA1 V AH0 CH +KOVATS K OW1 V AH0 T S +KOVEN K OW1 V AH0 N +KOVER K OW1 V ER0 +KOVERSADA K AH2 V ER0 S AA1 T AH0 +KOVICH K AA1 V IH0 CH +KOWABUNGA K AW2 AH0 B AH1 NG G AH0 +KOWAL K AW1 AH0 L +KOWALCHUK K AW0 AA1 L HH AH0 K +KOWALCZYK K AW1 AH0 L CH IH0 K +KOWALESKI K AW0 AH0 L EH1 S K IY0 +KOWALEWSKI K AW0 AH0 L EH1 F S K IY0 +KOWALIK K AW0 AA1 L IH0 K +KOWALKE K AA1 W AO2 K +KOWALKOWSKI K AA1 W AO0 K AO2 F S K IY0 +KOWALL K AW1 AH0 L +KOWALSKI K AH0 W AA1 L S K IY0 +KOWALSKY K AW0 AA1 L S K IY0 +KOWITZ K AA1 W IH0 T S +KOWNACKI K AW2 N AA1 K IY0 +KOWTOW K AW1 T AW1 +KOWTOW(2) K OW1 T OW1 +KOYAMA K OW0 Y AA1 M AH0 +KOYO K OY1 OW0 +KOZA K OW1 Z AH0 +KOZAK K OW1 Z AH0 K +KOZAKIEWICZ K AH0 Z AA1 K AH0 V IH0 CH +KOZAR K OW1 Z ER0 +KOZBERG K AA1 Z B ER0 G +KOZEL K OW1 Z AH0 L +KOZEMCHAK K OW2 Z EH1 M CH AE2 K +KOZICKI K AH0 Z IH1 T S K IY0 +KOZIEL K AA1 Z IY0 L +KOZIK K OW1 Z IH0 K +KOZIKOWSKI K AH0 Z IH0 K AO1 F S K IY0 +KOZINSKI K AH0 Z IH1 N S K IY0 +KOZIOL K AA1 Z IY0 AO0 L +KOZLIK K AA1 Z L IH0 K +KOZLOFF K AA1 Z L AO0 F +KOZLOSKI K AH0 Z L AW1 S K IY0 +KOZLOW K AA1 Z L OW0 +KOZLOWSKI K AH0 Z L AO1 F S K IY0 +KOZMA K OW1 Z M AH0 +KOZMINSKI K AH0 Z M IH1 N S K IY0 +KOZNOVSKY K AA2 Z N AA1 F S K IY0 +KOZNOVSKY'S K AA2 Z N AA1 F S K IY0 Z +KOZO K OW1 Z OW0 +KOZOL K OW1 Z AH0 L +KOZUB K OW1 Z AH0 B +KOZUCH K AA1 Z AH0 HH +KOZYREV K AA1 Z ER0 EH2 V +KOZYREV'S K AA1 Z ER0 EH2 V Z +KPMG K EY1 P IY1 EH1 M JH IH1 +KRAAI K R AA1 IY0 +KRAATZ K R AA1 T S +KRABBE K R AE1 B +KRABBENHOFT K R AE1 B IH0 N HH AH0 F T +KRABILL K R AE1 B AH0 L +KRACH K R AE1 CH +KRACHT K R AE1 K T +KRACK K R AE1 K +KRACKE K R AE1 K +KRAEGER K R EH1 G ER0 +KRAEMER K R EH1 M ER0 +KRAEUTLER K R AW1 T L ER0 +KRAFFT K R AE1 F T +KRAFT K R AE1 F T +KRAFT'S K R AE1 F T S +KRAFTWERK K R AE1 F T W ER0 K +KRAGE K R EY1 JH +KRAGER K R EY1 G ER0 +KRAGH K R AE1 G +KRAGT K R AE1 G T +KRAH K R AA1 +KRAHENBUHL K R AA1 IH0 N B AH0 L +KRAHL K R AA1 L +KRAHN K R AE1 N +KRAIN K R EY1 N +KRAJEWSKI K R AY0 EH1 F S K IY0 +KRAJICEK K R AY1 IH0 CH EH0 K +KRAJINA K R AY1 N AH0 +KRAJINA(2) K R AY0 IY1 N AH0 +KRAJINA'S K R AY1 N AH0 Z +KRAJINA'S(2) K R AY0 IY1 N AH0 Z +KRAKER K R EY1 K ER0 +KRAKOW K R AA1 K AW0 +KRAKOW(2) K R AA1 K AA0 V +KRAKOW(3) K R AE1 K AW0 +KRAKOWER K R AE1 K OW0 ER0 +KRAKOWSKI K R AH0 K AO1 F S K IY0 +KRAL K R AE1 L +KRALICEK K R AA1 L IH0 CH EH0 K +KRALIK K R AA1 L IH0 K +KRALL K R AO1 L +KRAM K R AE1 M +KRAMAR K R AE1 M ER0 +KRAMER K R EY1 M ER0 +KRAMER'S K R EY1 M ER0 Z +KRAMLICH K R AE1 M L IH0 K +KRAMM K R AE1 M +KRAMME K R AE1 M +KRAMMER K R AE1 M ER0 +KRAMMES K R AE1 M Z +KRAMP K R AE1 M P +KRAMPE K R AE1 M P +KRANDALL K R AE1 N D AH0 L +KRANE K R EY1 N +KRANER K R EY1 N ER0 +KRANICH K R AE1 N IH0 CH +KRANS K R AE1 N Z +KRANTZ K R AE1 N T S +KRANZ K R AE1 N Z +KRANZLER K R AE1 N Z L ER0 +KRAPELS K R AE1 P AH0 L Z +KRAPF K R AE1 P F +KRAPP K R AE1 P +KRAPRAYOON K R AE1 P R AA0 Y UW0 N +KRAS K R AE1 S +KRASINSKI K R AH0 S IH1 N S K IY0 +KRASKA K R AA1 S K AH0 +KRASNER K R AE1 S N ER0 +KRASNOFF K R AE1 S N AO0 F +KRASNOW K R AA1 S N OW0 +KRASNOYARSK K R AE0 S N OY1 AA0 R S K +KRASNY K R AE1 Z N IY0 +KRASOWSKI K R AH0 S AO1 F S K IY0 +KRASS K R AE1 S +KRASZEWSKI K R AH0 SH EH1 F S K IY0 +KRAT K R AE1 T +KRATKY K R AE1 T K IY0 +KRATOCHVIL K R AE1 T AH0 K V AH0 L +KRATOS K R AE1 T AO2 S +KRATT K R AE1 T +KRATZ K R AE1 T S +KRATZER K R EY1 T Z ER0 +KRATZKE K R AE1 T S K IY0 +KRAUER K R AW1 R +KRAUS K R AW1 S +KRAUSE K R AO1 S +KRAUSER K R AW1 S ER0 +KRAUSHAAR K R AW1 SH AA2 R +KRAUSKOPF K R AW1 S K AO0 F +KRAUSS K R AW1 S +KRAUSSE K R AO1 S +KRAUSZ K R AW1 SH +KRAUT K R AW1 T +KRAUTER K R AW1 T ER0 +KRAUTH K R AO1 TH +KRAUTHAMMER K R AW1 T HH AE2 M ER0 +KRAUZE K R AW1 Z +KRAVCHUK K R AA1 V CH UH2 K +KRAVCHUK'S K R AA1 V CH UH2 K Z +KRAVETZ K R AE1 V IH0 T S +KRAVIS K R AE1 V IH0 S +KRAVITZ K R AE1 V IH0 T S +KRAWCCYKIEWI K R AW2 CH IH0 K UW1 IY0 +KRAWCHUK K R AO1 CH AH0 K +KRAWCZAK K R AA1 V CH AE0 K +KRAWCZYK K R AA1 V CH IH0 K +KRAWIEC K R AA1 V IY0 K +KRAWITZ K R AA1 W IH0 T S +KRAY K R EY1 +KRAYNAK K R EY1 N AH0 K +KREAGER K R IY1 G ER0 +KREAMER K R IY1 M ER0 +KREBBS K R EH1 B Z +KREBS K R EH1 B Z +KREBS'S K R EH1 B Z IH0 Z +KREBSBACH K R EH1 B Z B AA0 K +KRECH K R EH1 K +KRECKO K R EH1 K OW0 +KREDIETBANK K R EH0 D IY0 T B AE1 NG K +KREDIT K R EH1 T IH0 T +KREDITANSTALT K R EH0 D IH1 T AH2 N S T AO2 L T +KREEGER K R IY1 G ER0 +KREFT K R EH1 F T +KREG K R EH1 G +KREGEL K R EH1 G AH0 L +KREGER K R IY1 G ER0 +KREH K R EH1 +KREHBIEL K R EH1 B IY0 L +KREHER K R EH1 R +KREICHER K R AY1 K ER0 +KREIDER K R AY1 D ER0 +KREIDLER K R AY1 D AH0 L ER0 +KREIDLER(2) K R AY1 D L ER0 +KREIFELS K R AY1 F AH0 L Z +KREIG K R IY1 G +KREIGER K R AY1 G ER0 +KREILING K R AY1 L IH0 NG +KREIMER K R AY1 M ER0 +KREIN K R EY1 N +KREINER K R AY1 N ER0 +KREIS K R IY1 Z +KREISBERG K R AY1 S B ER0 G +KREISCHER K R AY1 SH ER0 +KREISEL K R AY1 S AH0 L +KREISER K R AY1 S ER0 +KREISHER K R IY1 IH0 SH ER0 +KREISLER K R AY1 S L ER0 +KREISMAN K R AY1 S M AH0 N +KREISS K R AY1 S +KREITER K R AY1 T ER0 +KREITMAN K R AY1 T M AH0 N +KREITNER K R AY1 T N ER0 +KREITZ K R IY1 T S +KREITZBERG K R AY1 T S B ER0 G +KREITZER K R AY1 T Z ER0 +KREJCI K R EH1 JH S IY0 +KRELL K R EH1 L +KREMER K R IY1 M ER0 +KREMERS K R IY1 M ER0 Z +KREMLIN K R EH1 M L AH0 N +KREMLIN(2) K R EH1 M L IH0 N +KREMLIN'S K R EH1 M L IH0 N Z +KREMLINOLOGIST K R EH2 M L IH0 N AA1 L AH0 JH IH0 S T +KREMLINOLOGISTS K R EH2 M L IH0 N AA1 L AH0 JH IH0 S T S +KREMPA K R EH1 M P AH0 +KREMPASKY K R IH0 M P AA1 S K IY0 +KREMPLER K R EH1 M P L ER0 +KREMPLERS K R EH1 M P L ER0 Z +KREN K R EH1 N +KRENEK K R EH1 N IH0 K +KRENGEL K R EH1 NG G AH0 L +KRENIK K R EH1 N IH0 K +KRENKE K R EH1 NG K +KRENN K R EH1 N +KRENTZ K R EH1 N T S +KRENWINKLE K R EH1 N W IH2 NG K AH0 L +KRENWINKLE'S K R EH1 N W IH2 NG K AH0 L Z +KRENZ K R EH1 N Z +KRENZER K R EH1 N Z ER0 +KREPPS K R EH1 P S +KREPS K R EH1 P S +KRESA K R IY1 S ER0 +KRESGE K R EH1 S G IY0 +KRESLOVSKY K R EH0 S L AO1 V S K IY0 +KRESS K R EH1 S +KRESSE K R EH1 S +KRESSER K R EH1 S ER0 +KRESSIN K R EH1 S IH0 N +KRESSLER K R EH1 S L ER0 +KRETCHMAN K R EH1 CH M AH0 N +KRETCHMER K R EH1 CH M ER0 +KRETSCH K R EH1 CH +KRETSCHMAR K R EH1 CH M ER0 +KRETSCHMER K R EH1 CH M ER0 +KRETZ K R EH1 T S +KRETZER K R EH1 T Z ER0 +KRETZSCHMAR K R EH1 CH M ER0 +KREUGER K R OY1 G ER0 +KREUL K R UW1 L +KREUSER K R OY1 S ER0 +KREUTER K R OY1 T ER0 +KREUTZ K R UW1 T S +KREUZER K R UW1 Z ER0 +KREWSON K R UW1 S AH0 N +KREY K R EY1 +KRIBS K R IH1 B Z +KRICHBAUM K R IH1 K B AW0 M +KRICK K R IH1 K +KRIDER K R AY1 D ER0 +KRIDLER K R IH1 D L ER0 +KRIEBEL K R IY1 B AH0 L +KRIEG K R IY1 G +KRIEGEL K R IY1 G AH0 L +KRIEGER K R IY1 G ER0 +KRIEGER'S K R IY1 G ER0 Z +KRIENKE K R IY1 NG K +KRIER K R AY1 ER0 +KRIESE K R IY1 Z +KRIESEL K R IY1 S AH0 L +KRIETE K R IY1 T +KRIGBAUM K R IH1 G B AW2 M +KRIGER K R AY1 G ER0 +KRIGSTEN K R IH1 G S T IH0 N +KRIKALEV K R IH1 K AH0 L EH2 V +KRIKALEV'S K R IH1 K AH0 L EH2 V Z +KRIKORIAN K R IH0 K AO1 R IY0 AH0 N +KRILL K R IH1 L +KRIM K R IH1 M +KRIMINYOK K R IH0 M IH1 N Y AO0 K +KRIMMEL K R IH1 M AH0 L +KRINER K R AY1 N ER0 +KRING K R IH1 NG +KRINGEN K R IH1 NG AH0 N +KRINGLEY K R IH1 NG G L IY0 +KRINGS K R IH1 NG Z +KRINKE K R IH1 NG K +KRINSKY K R IH1 N S K IY0 +KRIS K R IH1 S +KRISCH K R IH1 SH +KRISCHER K R IH1 SH ER0 +KRISE K R AY1 Z +KRISHER K R IH1 SH ER0 +KRISHNA K R IH1 SH N AH0 +KRISHNA(2) K R IY1 SH N AH0 +KRISHNAN K R IH1 SH N AH0 N +KRISKO K R IH1 S K OW0 +KRISPIES K R IH1 S P IY0 Z +KRISS K R IH1 S +KRIST K R IH1 S T +KRISTA K R IH1 S T AH0 +KRISTALL K R IH1 S T AH0 L +KRISTALLNACHT K R IH1 S T AH0 L N AA2 K T +KRISTEN K R IH1 S T AH0 N +KRISTENSEN K R IH1 S T AH0 N S AH0 N +KRISTI K R IH1 S T IY0 +KRISTI'S K R IH1 S T IY0 Z +KRISTIANSEN K R IH1 S CH AH0 N S AH0 N +KRISTIE K R IH1 S T IY0 +KRISTIN K R IH1 S T IH0 N +KRISTINA K R IH0 S T IY1 N AH0 +KRISTINE K R IH0 S T IY1 N +KRISTOF K R IH1 S T AH0 F +KRISTOFF K R IH1 S T AO0 F +KRISTOFFE K R IH1 S T AO0 F +KRISTOFFERSON K R IH2 S T AO1 F ER0 S AH0 N +KRISTOL K R IH1 S T AH0 L +KRISTOL'S K R IH1 S T AH0 L Z +KRISTOPHER K R IH1 S T AH0 F ER0 +KRISTOPHER'S K R IH1 S T AH0 F ER0 Z +KRISTY K R IH1 S T IY0 +KRITZ K R IH1 T S +KRITZER K R IH1 T Z ER0 +KRIVANEK K R IH1 V AH0 N IH0 K +KRIZ K R IH1 Z +KRIZAN K R IH1 Z AH0 N +KRIZEK K R IH1 Z EH0 K +KROB K R AA1 B +KROBOTH K R AA1 B AH0 TH +KROC K R AA1 K +KROC'S K R AA1 K S +KROCK K R AA1 K +KROEBER K R OW1 B ER0 +KROEBER'S K R OW1 B ER0 Z +KROEGER K R OW1 G ER0 +KROEGER'S K R OW1 G ER0 Z +KROEGERS K R OW1 G ER0 Z +KROEKER K R OW1 K ER0 +KROENER K R OW1 N ER0 +KROENING K R AA1 AH0 N IH0 NG +KROENKE K R OW1 NG K +KROES K R OW1 Z +KROESE K R OW1 S +KROEZE K R OW1 Z +KROFT K R AA1 F T +KROG K R AA1 G +KROGER K R OW1 G ER0 +KROGER'S K R OW1 G ER0 Z +KROGH K R OW1 +KROGMAN K R AA1 G M AH0 N +KROGSTAD K R AA1 G S T AH0 D +KROH K R OW1 +KROHN K R OW1 N +KROK K R AA1 K +KROL K R AO1 L +KROLAK K R OW1 L AH0 K +KROLCZYK K R OW1 L CH IH0 K +KROLICK K R AA1 L IH0 K +KROLIKOWSKI K R AH0 L IH0 K AO1 F S K IY0 +KROLL K R AO1 L +KROM K R AA1 M +KROME K R OW1 M +KROMER K R OW1 M ER0 +KROMM K R AA1 M +KRON K R AA1 N +KRONA K R OW1 N AH0 +KRONBERG K R AA1 N B ER0 G +KRONE K R OW1 N AH0 +KRONEN K R OW1 N AH0 N +KRONENBERG K R AA1 N AH0 N B ER0 G +KRONENBERGER K R AA1 N AH0 N B ER0 G ER0 +KRONER K R OW1 N ER0 +KRONICK K R AA1 N IH0 K +KRONISH K R AA1 N IH0 SH +KRONK K R AA1 NG K +KRONOR K R OW1 N ER0 +KRONOS K R OW1 N OW0 S +KRONTZ K R AA1 N T S +KROON K R UW1 N +KROPF K R AA1 P F +KROPP K R AA1 P +KROSS K R AO1 S +KROSSEL K R AO1 S AH0 L +KROTKOV K R AO1 T K AO0 V +KROTZ K R AA1 T S +KROTZER K R OW1 T Z ER0 +KROUNER K R UW1 N ER0 +KROUPA K R UW1 P AH0 +KROUSE K R AW1 S +KROUT K R AW1 T +KROWE K R OW1 +KROWITZ K R AW1 IH0 T S +KROY K R OY1 +KRUCHTEN K R AH1 K T AH0 N +KRUCK K R AH1 K +KRUCKEBERG K R AH1 K B ER0 G +KRUCKENBERG K R AH1 K AH0 N B ER0 G +KRUCZEK K R AH1 CH EH0 K +KRUDMAN K R AH1 D M AH0 N +KRUDMAN'S K R AH1 D M AH0 N Z +KRUEGER K R UW1 G ER0 +KRUER K R UW1 ER0 +KRUG K R AH1 G +KRUGER K R UW1 G ER0 +KRUGERRAND K R UW0 G EH1 R AE0 N D +KRUGH K R AH1 +KRUGMAN K R AH1 G M AH0 N +KRUK K R AH1 K +KRUKOWSKI K R AH0 K AO1 F S K IY0 +KRUL K R AH1 L +KRULL K R AH1 L +KRULWICH K R AH1 L W IH0 CH +KRUM K R AH1 M +KRUMHOLZ K R AH1 M HH OW2 L Z +KRUMM K R AH1 M +KRUMME K R AH1 M +KRUMMEL K R AH1 M AH0 L +KRUMMEL'S K R AH1 M AH0 L Z +KRUMREY K R AH1 M R IY0 +KRUMWIEDE K R AH1 M W IY2 D +KRUPA K R UW1 P AH0 +KRUPICKA K R UW2 P IH1 K AH0 +KRUPINSKI K R AH0 P IH1 N S K IY0 +KRUPKA K R AH1 P K AH0 +KRUPMAN K R AH1 P M AH0 N +KRUPNICK K R AH1 P N IH0 K +KRUPP K R AH1 P +KRUPP'S K R AH1 P S +KRUPPA K R AH1 P AH0 +KRUPSKI K R AH1 P S K IY0 +KRUS K R AH1 S +KRUSCHEV K R UW1 S CH EH2 V +KRUSCHKE K R AH1 SH K +KRUSE K R UW1 Z +KRUSEMARK K R AH1 S IH0 M AA0 R K +KRUSINSKI K R AH0 S IH1 N S K IY0 +KRUSZEWSKI K R AH0 SH EH1 F S K IY0 +KRUSZKA K R AH1 SH K AH0 +KRUSZYNSKI K R AH0 SH IH1 N S K IY0 +KRUTICK K R UW1 T IH2 K +KRUTSINGER K R AH1 T S IH0 N JH ER0 +KRUTTSCHNITT K R AH1 CH N IH0 T +KRUTZ K R AH1 T S +KRUZEL K R UW1 Z AH0 L +KRYCH K R IH1 CH +KRYDER K R AY1 D ER0 +KRYGER K R AY1 G ER0 +KRYGIER K R AY1 G IY0 ER0 +KRYPTON K R IH1 P T AA0 N +KRYPTONIAN K R IH0 P T OW1 N IY2 AH0 N +KRYPTONITE K R IH1 P T AH0 N AY2 T +KRYPTOS K R IH1 P T OW0 S +KRYSIAK K R IH1 S IY0 AE0 K +KRYSTAL K R IH1 S T AH0 L +KRZEMINSKI K R IH0 M IH1 N S K IY0 +KRZYSZTOF K R IY1 S T AO0 F +KRZYSZTOF(2) K R IY1 SH T AO0 F +KRZYWICKI K R IH0 V IH1 T S K IY0 +KRZYZANOWSKI K R IH0 Z AH0 N AO1 F S K IY0 +KSIAZEK K S Y AA1 Z EH0 K +KU K UW1 +KUALA K W AA1 L AH0 +KUAN K W AA1 N +KUBA K Y UW1 B AH0 +KUBACKI K AH0 B AA1 T S K IY0 +KUBALA K AH0 B AA1 L AH0 +KUBALA(2) K UW0 B AA1 L AH0 +KUBAN K Y UW1 B AH0 N +KUBAS K UW1 B AH0 Z +KUBAT K UW1 B AH0 T +KUBE K Y UW1 B +KUBENA K AH0 B IY1 N AH0 +KUBERSKI K UW0 B ER1 S K IY0 +KUBES K UW1 B EH2 S +KUBIAK K UW1 B IY0 AE0 K +KUBIC K Y UW1 B IH0 K +KUBICA K Y UW1 B IH0 K AH0 +KUBICEK K AH1 B IH0 CH EH0 K +KUBICK K Y UW1 B IH0 K +KUBICKI K AH0 B IH1 T S K IY0 +KUBIK K Y UW1 B IH0 K +KUBIN K Y UW1 B IH0 N +KUBINSKI K AH0 B IH1 N S K IY0 +KUBIS K UW1 B IH0 S +KUBISIAK K AH0 B IH1 S IY0 AE0 K +KUBITZ K Y UW1 B IH0 T S +KUBLER K Y UW1 B AH0 L ER0 +KUBLER(2) K Y UW1 B L ER0 +KUBLY K AH1 B L IY0 +KUBO K Y UW1 B OW0 +KUBOTA K UW0 B OW1 T AH0 +KUBRICK K Y UW1 B R IH2 K +KUBRICK'S K Y UW1 B R IH2 K S +KUBY K Y UW1 B IY0 +KUC K AH1 K +KUCAN K Y UW1 K AH0 N +KUCERA K AH0 CH IH1 R AH0 +KUCEWICZ K Y UW1 S IH0 W IH0 T S +KUCH K AH1 CH +KUCHAR K AH1 K ER0 +KUCHARSKI K AH0 CH AA1 R S K IY0 +KUCHENBECKER K AH1 K IH0 N B EH0 K ER0 +KUCHER K AH1 K ER0 +KUCHERA K AH1 CH ER0 AH0 +KUCHERA(2) K UW2 CH EH1 R AH0 +KUCHINSKI K AH0 CH IH1 N S K IY0 +KUCHINSKY K AH0 CH IH1 N S K IY0 +KUCHLER K AH1 K AH0 L ER0 +KUCHLER(2) K AH1 K L ER0 +KUCHMA K UW1 CH M AH0 +KUCHMA'S K UW1 CH M AH0 Z +KUCHTA K AH1 CH T AH0 +KUCINSKI K AH0 CH IH1 N S K IY0 +KUCK K AH1 K +KUCZEK K AH1 CH EH0 K +KUCZYNSKI K AH0 CH IH1 N S K IY0 +KUDER K Y UW1 D ER0 +KUDLA K AH1 D L AH0 +KUDLOW K AH1 D L OW0 +KUDNER K AH1 D N ER0 +KUDOS K UW1 D OW0 S +KUDRNA K AH2 D ER1 N AH0 +KUDZU K AH1 D Z UW0 +KUEBLER K UH1 B AH0 L ER0 +KUEBLER(2) K UH1 B L ER0 +KUECHLER K UH1 K AH0 L ER0 +KUECHLER(2) K UH1 K L ER0 +KUECK K UW1 K +KUECKER K UH1 K ER0 +KUEHL K UH1 L +KUEHLER K UH1 L ER0 +KUEHN K UW1 N +KUEHNE K UW1 N +KUEHNEL K UH1 N AH0 L +KUEHNER K UH1 N ER0 +KUEHNLE K UH1 N AH0 L +KUEKER K UH1 K ER0 +KUENHEIM K Y UW1 AH0 N HH AY2 M +KUENNEN K UH1 N AH0 N +KUENSTLER K UH1 N S AH0 L ER0 +KUENSTLER(2) K UH1 N S L ER0 +KUENZEL K UH1 N Z AH0 L +KUENZI K UW0 EY1 N Z IY0 +KUENZLI K UH1 N Z L IY0 +KUESTER K UH1 S T ER0 +KUETHER K UH1 DH ER0 +KUFAHL K AH1 F AA0 L +KUFFEL K AH1 F AH0 L +KUFFNER K AH1 F N ER0 +KUGEL K UW1 G AH0 L +KUGELMAN K AH1 G AH0 L M AH0 N +KUGLER K UW1 G AH0 L ER0 +KUGLER(2) K UW1 G L ER0 +KUHAR K UW1 ER0 +KUHL K AH1 L +KUHLE K UW1 AH0 L +KUHLENSCHMIDT K Y UW1 L AH0 N SH M IH2 T +KUHLMAN K UW1 L M AH0 N +KUHLMANN K UW1 L M AH0 N +KUHN K UW1 N +KUHNE K AH1 N +KUHNER K UW1 N ER0 +KUHNERT K UW1 N ER0 T +KUHNKE K AH1 NG K +KUHNLE K AH1 N AH0 L +KUHNS K UW1 N Z +KUHR K ER1 +KUHRT K ER1 T +KUIKEN K UW1 K AH0 N +KUIPER K UW1 P ER0 +KUIPERS K UW1 P ER0 Z +KUJALA K AH0 Y AA1 L AH0 +KUJAWA K UW0 JH AA1 W AH0 +KUJAWSKI K AH0 Y AA1 F S K IY0 +KUK K AH1 K +KUKER K Y UW1 K ER0 +KUKJE K UW1 K Y IH0 +KUKJE(2) K UW1 K JH EY2 +KUKJE(3) K UW1 K JH IY2 +KUKLA K AH1 K L AH0 +KUKLINSKI K AH0 K L IH1 N S K IY0 +KUKOWSKI K AH0 K AO1 F S K IY0 +KUKUK K UW1 K AH0 K +KULA K UW1 L AH0 +KULAGA K UW0 L AA1 G AH0 +KULAKOWSKI K Y UW0 L AH0 K AO1 F S K IY0 +KULAS K Y UW1 L AH0 Z +KULESA K Y UW0 L IY1 S AH0 +KULESZA K Y UW0 L EH1 SH AH0 +KULHANEK K AH1 L HH AH0 N EH0 K +KULICH K Y UW1 L IH0 K +KULICK K Y UW1 L IH0 K +KULIG K Y UW1 L IH0 G +KULIGOWSKI K Y UW0 L IH0 G AO1 F S K IY0 +KULIK K Y UW1 L IH0 K +KULIKOWSKI K Y UW0 L IH0 K AO1 F S K IY0 +KULINSKI K Y UW0 L IH1 N S K IY0 +KULIS K UW1 L IH0 S +KULISH K Y UW1 L IH0 SH +KULKA K AH1 L K AH0 +KULKARNI K AH0 L K AA1 R N IY0 +KULL K AH1 L +KULLA K AH1 L AH0 +KULLBERG K AH1 L B ER0 G +KULLMAN K AH1 L M AH0 N +KULLY K AH1 L IY0 +KULON K UW1 L AO2 N +KULOW K Y UW1 L OW0 +KULP K AH1 L P +KULPA K AH1 L P AH0 +KULWICKI K AH0 L V IH1 T S K IY0 +KULZER K AH1 L Z ER0 +KUMAGAI K UW0 M AA0 G AA1 IY0 +KUMAR K UW0 M AA1 R +KUMARATUNGA K UW0 M AA2 R AH0 T AH1 N G AH0 +KUMARISAMI K UW0 M AA2 R AH0 S AA1 M IY0 +KUMBAYA K UH2 M B AY0 Y AH1 +KUMBLE K AH1 M B AH0 L +KUME K Y UW1 M +KUMHO K AH1 M HH OW0 +KUMLER K AH1 M L ER0 +KUMM K AH1 M +KUMMER K AH1 M ER0 +KUMOURI K UW2 M AO1 R IY0 +KUMOURI'S K UW2 M AO1 R IY0 Z +KUMP K AH1 M P +KUMPF K AH1 M P F +KUMQUAT K AH1 M K W AA0 T +KUN K AH1 N +KUNA K Y UW1 N AH0 +KUNAEV K Y UW0 N EY1 V +KUNATH K AH1 N AH0 TH +KUNAYEV K Y UW0 N EY1 AH0 V +KUNCE K AH1 N S +KUNDA K AH1 N D AH0 +KUNDE K AH1 N D +KUNDERA K AH0 N D EH1 R AH0 +KUNDERT K AH1 N D ER0 T +KUNDINGER K AH1 N D IH0 NG ER0 +KUNDRAT K AH1 N D R AH0 T +KUNDUN K UH1 N D AH0 N +KUNERT K Y UW1 N ER0 T +KUNES K Y UW1 N Z +KUNESH K AH1 N IH0 SH +KUNEY K Y UW1 N IY0 +KUNG K AH1 NG +KUNIN K Y UW1 N IH0 N +KUNIO K Y UW1 N IY0 OW0 +KUNKA K AH1 NG K AH0 +KUNKEL K AH1 NG K AH0 L +KUNKLE K AH1 NG K AH0 L +KUNKLER K AH1 NG K L ER0 +KUNS K AH1 N Z +KUNSELMAN K AH1 N S AH0 L M AH0 N +KUNSMAN K AH1 N S M AH0 N +KUNST K AH1 N S T +KUNSTLER K AH1 N S T L ER0 +KUNSTLER(2) K AH1 N S L ER0 +KUNTSLER K AH1 N T S L ER0 +KUNTZ K AH1 N T S +KUNTZE K AH1 N T Z +KUNTZMAN K AH1 N T S M AH0 N +KUNZ K AH1 N Z +KUNZE K AH1 N Z +KUNZELMAN K AH1 N Z AH0 L M AH0 N +KUNZLER K AH1 N Z L ER0 +KUNZMAN K AH1 N Z M AH0 N +KUO K UW1 OW0 +KUOMINTANG K W OW1 M IH2 N T AE1 NG +KUOMINTANG(2) G W OW1 M IH2 N T AE1 NG 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IH1 L OW0 +KYLLONEN K IH0 L AA1 N AH0 N +KYM K IH1 M +KYNA K IH1 N AH0 +KYNARD K IH1 N ER0 D +KYNE K AY1 N +KYNIKOS K IH0 N IY1 K OW0 S +KYO K Y OW1 +KYO(2) K IY1 OW0 +KYOCERA K Y OW0 S EH1 R AH0 +KYOCERA(2) K IY0 OW0 S EH1 R AH0 +KYODO K Y OW1 D OW0 +KYOKO K IY0 OW1 K OW0 +KYOKUTO K Y AA0 K UW1 T OW0 +KYONG K Y AO1 NG +KYONGSANG K Y AO1 NG S AE0 NG +KYOSHI K IY0 OW1 SH IY0 +KYOTO K Y OW1 T OW0 +KYOUNG K Y AO1 NG +KYOUNG-MIN K Y AO1 NG M IH1 N +KYOWA K Y OW1 AH0 +KYRA K AY1 R AH0 +KYRGYZSTAN K IH1 R G IH0 S T AE2 N +KYRGYZSTAN(2) K IH2 R G IY1 S T AA2 N +KYRON K AY1 R AH0 N +KYSAR K IH1 S ER0 +KYSER K AY1 S ER0 +KYSOR K AY1 S ER0 +KYTE K AY1 T +KYTRIL K IH1 T R IH0 L +KYU K Y UW1 +KYUNG K Y AH1 NG +KYUSHU K Y AH1 SH UW0 +KYZAR K IH1 Z ER0 +KYZER K AY1 Z ER0 +L EH1 L +L'ALMA L AA1 L M AH0 +L'AMOUR L AE1 M AO0 R +L'EGGS L EH1 G Z +L'ENFANT L EH1 N F AA2 N T +L'ENFANT(2) L AA2 N F AA1 N T +L'ESPALIER L EH0 S P AE2 L IY0 EY1 +L'EXPANSION L EH2 K S P AE1 N SH AH0 N +L'EXPRESS L EH2 K S P R 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EH1 L +L.'S EH1 L Z +L.S EH1 L Z +LA L AA1 +LA-CARRE L AA1 K AA2 R EY1 +LA-CROSSE L AH0 K R AO1 S +LA-GUARDIA L AH0 G W AA1 R D IY0 AH0 +LA-NINA L AH0 N IY1 N Y AH0 +LA-PAZ L AH1 P AO0 Z +LA-QUINTA L AH0 K W IH1 N T AH0 +LAABS L AA1 B Z +LAACK L AA1 K +LAACO L AA1 K OW0 +LAAKE L AA1 K +LAAKSO L AA1 K S OW0 +LAAS L AA1 Z +LAATSCH L AA1 CH +LAB L AE1 B +LAB'S L AE1 B Z +LABA L AA1 B AH0 +LABADIE L AE1 B AH0 D IY0 +LABAN L EY1 B AH0 N +LABAND L AA0 B AE1 N D +LABANT L AH0 B AE1 N T +LABAR L AH0 B AA1 R +LABARBERA L AA0 B AA0 R B EH1 R AH0 +LABARGE L AE1 B AA0 R JH +LABARR L AH0 B AE1 R +LABARRE L AA0 B AA1 R EY0 +LABAT L AA1 B AA0 T +LABATE L AA1 B EY0 T +LABATON L AE1 B AH0 T AH0 N +LABATT L AH0 B AE1 T +LABATT'S L AH0 B AE1 T S +LABAUVE L AH0 B OW1 V +LABAY L AE1 B EY0 +LABBE L AE1 B +LABE L EY1 B +LABEAU L AH0 B OW1 +LABEL L EY1 B AH0 L +LABEL'S L EY1 B AH0 L Z +LABELED L EY1 B AH0 L D +LABELING L EY1 B AH0 L IH0 NG +LABELING(2) L EY1 B L IH0 NG +LABELL L AH0 B EH1 L +LABELLA L AH0 B EH1 L AH0 +LABELLE L AH0 B EH1 L +LABELLED L EY1 B AH0 L D +LABELS L EY1 B AH0 L Z +LABENSKI L AA0 B EH1 N S K IY0 +LABER L EY1 B ER0 +LABERGE L AA1 B ER0 G +LABIANCA L AA0 B IY0 AA1 NG K AH0 +LABIANCA'S L AA0 B IY0 AA1 NG K AH0 Z +LABINE L AA0 B IY1 N IY0 +LABLANC L AH0 B L AE1 NG K +LABO L AA1 B OW0 +LABODA L AA0 B OW1 D AH0 +LABOMBARD L AE1 B AH0 M B ER0 D +LABONTE L AH0 B AA1 N T +LABONTE(2) L AH0 B AA1 N T IY0 +LABOR L EY1 B ER0 +LABOR'S L EY1 B ER0 Z +LABORATOIRES L AH0 B AO1 R AH0 T W AA2 Z +LABORATORIES L AE1 B R AH0 T AO2 R IY0 Z +LABORATORIES' L AE1 B R AH0 T AO2 R IY0 Z +LABORATORY L AE1 B R AH0 T AO2 R IY0 +LABORATORY'S L AE1 B R AH0 T AO2 R IY0 Z +LABORDE L AH0 B AO1 R D +LABORE L AH0 B AO1 R +LABORED L EY1 B ER0 D +LABORER L EY1 B ER0 ER0 +LABORERS L EY1 B ER0 ER0 Z +LABORING L EY1 B ER0 IH0 NG +LABORIOUS L AH0 B AO1 R IY0 AH0 S +LABORIOUSLY L AH0 B AO1 R IY0 AH0 S L IY0 +LABORS L EY1 B ER0 Z +LABOSSIERE L AE1 B AH0 S IY0 EH0 R +LABOUISSE L AA0 B UW1 S +LABOUNTY L AH0 B 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CH EH1 R T IY0 +LACES L EY1 S AH0 Z +LACES(2) L EY1 S IH0 Z +LACEWELL L EY1 S W EH2 L +LACEY L EY1 S IY0 +LACH L AE1 CH +LACHANCE L AA1 CH AH0 N S +LACHAPELLE L AE1 SH AH0 P AH0 L +LACHARITE L AE1 CH ER0 AY2 T +LACHE L AE1 CH +LACHENBRUCH L AE1 K AH0 N B R UW2 K +LACHER L AE1 K ER0 +LACHICA L AE1 CH IH0 K AH0 +LACHLAN L AE1 K L AH0 N +LACHMAN L AE1 K M AH0 N +LACHMAR L AE1 K M AA0 R +LACHNEY L AE1 K N IY0 +LACHOWICZ L AA1 HH AH0 V IH0 CH +LACHRYMOSE L AE1 K R IY0 M OW2 Z +LACINA L AA0 CH IY1 N AH0 +LACIVITA L AA0 CH IY0 V IY1 T AH0 +LACK L AE1 K +LACKADAISICAL L AE2 K AH0 D EY1 Z IH0 K AH0 L +LACKAWANNA L AE2 K AH0 W AA1 N AH0 +LACKED L AE1 K T +LACKEY L AE1 K IY0 +LACKEYS L AE1 K IY0 Z +LACKIE L AE1 K IY0 +LACKING L AE1 K IH0 NG +LACKLUSTER L AE1 K L AH2 S T ER0 +LACKMAN L AE1 K M AH0 N +LACKNER L AE1 K N ER0 +LACKO L AE1 K OW0 +LACKOVIC L AE1 K AH0 V IH0 K +LACKS L AE1 K S +LACKSADAISCIOUS L AE2 K S AH0 D EY1 S IY0 AH0 S +LACLAIR L AE1 K L ER0 +LACLEDE L AA0 K L IY1 D +LACOCK L AE1 K AH0 K +LACOMB L AE1 K AH0 M +LACOMBE L AA0 K OW1 M B IY0 +LACONIC L AA0 K AA1 N IH0 K +LACONTE L AA0 K OW1 N T IY0 +LACORTE L AA0 K AO1 R T IY0 +LACOSS L AH0 K AA1 S +LACOSSE L AA0 K OW1 S IY0 +LACOSTE L AA0 K AO1 S T +LACOUNT L AH0 K UW1 N T +LACOUR L AH0 K UH1 R +LACOURSE L AH0 K UH1 R S +LACOURSIERE L AE1 K UH0 R S IY0 EH0 R +LACOUTURE L AE1 K UW0 CH ER0 +LACOVARA L AA0 K OW0 V AA1 R AH0 +LACQUER L AE1 K ER0 +LACQUERED L AE1 K ER0 D +LACROIX L AH0 K R OY1 +LACROSS L AH0 K R AO1 S +LACROSSE L AH0 K R AO1 S +LACTASE L AE1 K T EY2 S +LACTATE L AE1 K T EY0 T +LACTATING L AE1 K T EY0 T IH0 NG +LACTATION L AE0 K T EY1 SH AH0 N +LACTEALS L AE1 K T IY2 L Z +LACTER L AE1 K T ER0 +LACTIC L AE1 K T IH0 K +LACTOBACILLUS L AE2 K T OW0 B AH0 S IH1 L AH0 S +LACTONE L AE1 K T OW0 N +LACTOSE L AE1 K T OW0 S +LACY L EY1 S IY0 +LAD L AE1 D +LADA L AA1 D AH0 +LADAKH L AA1 D AH0 K +LADAS L AA1 D AH0 Z +LADBROKE L AE1 D B R OW2 K +LADBROKE'S L AE1 D B R OW2 K S +LADD L AE1 D +LADD'S L AE1 D Z +LADDER L 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JH IH0 D AA0 L +LILJEGREN L IH1 L JH IH0 G R EH0 N +LILL L IH1 L +LILLA L IH1 L AH0 +LILLARD L IH1 L ER0 D +LILLE L IH1 L +LILLE(2) L IY1 L +LILLEHAMER L IH1 L IY0 HH AE2 M ER0 +LILLEHAMER'S L IH1 L IY0 HH AE2 M ER0 Z +LILLEHAMMER L IH1 L IY0 HH AE2 M ER0 +LILLEHAMMER'S L IH1 L IY0 HH AE2 M ER0 Z +LILLER L IH1 L ER0 +LILLEY L IH1 L IY0 +LILLI L IH1 L IY0 +LILLIAN L IH1 L IY0 AH0 N +LILLIAN'S L IH1 L IY0 AH0 N Z +LILLIANA L IH0 L IY0 AE1 N AH0 +LILLIBRIDGE L IH1 L IH0 B R IH2 JH +LILLICH L IH1 L IH0 K +LILLICROP L IH1 L IH0 K R AA0 P +LILLIE L IH1 L IY0 +LILLIPUTIAN L IH2 L AH0 P Y UW1 SH AH0 N +LILLIS L IH1 L IH0 S +LILLO L IH1 L OW0 +LILLY L IH1 L IY0 +LILLY'S L IH1 L IY0 Z +LILT L IH1 L T +LILY L IH1 L IY0 +LILY'S L IH1 L IY2 Z +LILYAN L IH1 L IY0 AH0 N +LILYBELL L IH1 L IY0 B EH2 L +LIM L IH1 M +LIMA L AY1 M AH0 +LIMA(2) L IY1 M AH0 +LIMAN L AY1 M AH0 N +LIMAS L AY1 M AH0 Z +LIMAS(2) L IY1 M AH0 Z +LIMB L IH1 M +LIMBACH L IH1 M B AA2 K +LIMBAUGH L IH1 M B AO2 +LIMBAUGH'S L IH1 M B 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D N ER0 +LINDNER'S L IH1 N D N ER0 Z +LINDO L IH1 N D OW0 +LINDON L IH1 N D AH0 N +LINDOW L IH1 N D OW0 +LINDQUIST L IH1 N D K W IH2 S T +LINDROTH L IH1 N D R AO2 TH +LINDSAY L IH1 N D Z IY0 +LINDSETH L IH1 N D S IH0 TH +LINDSEY L IH1 N D Z IY0 +LINDSEY'S L IH1 N D Z IY0 Z +LINDSKOG L IH1 N D S K AH0 G +LINDSLEY L IH1 N D S L IY0 +LINDSTEDT L IH1 N D S T IH0 T +LINDSTRAND L IH1 N D S T R AH0 N D +LINDSTROM L IH1 N D S T R AH0 M +LINDVALL L IH1 N D V AH0 L +LINDY L IH1 N D IY0 +LINE L AY1 N +LINE'S L AY1 N Z +LINE-UP L AY1 N AH2 P +LINEAGE L IH1 N IY0 AH0 JH +LINEAGES L IH1 N IY0 IH0 JH IH0 Z +LINEAL L IH1 N IY0 AH0 L +LINEAR L IH1 N IY0 ER0 +LINEAR'S L IH1 N IY0 ER0 Z +LINEARLY L IH1 N IY0 ER0 L IY0 +LINEBACK L AY1 N B AE2 K +LINEBACKER L AY1 N B AE2 K ER0 +LINEBACKERS L AY1 N B AE2 K ER0 Z +LINEBARGER L IH1 N IH0 B AA0 R G ER0 +LINEBARGER(2) L AY1 N B AA0 R G ER0 +LINEBAUGH L IH1 N IH0 B AO0 +LINEBERGER L AY1 N B ER0 G ER0 +LINEBERRY L AY1 N B EH2 R IY0 +LINED L AY1 N D +LINEHAN L IH1 N IH0 HH AE0 N +LINEITEM L AY1 N EY0 T AH0 M +LINEMAN L AY1 N M AH0 N +LINEMEN L AY1 N M AH0 N +LINEN L IH1 N AH0 N +LINENBERGER L IH1 N AH0 N B ER0 G ER0 +LINENGER L IH1 N AH0 N JH ER0 +LINENGER'S L IH1 N AH0 N JH ER0 Z +LINENS L IH1 N AH0 N Z +LINER L AY1 N ER0 +LINER'S L AY1 N ER0 Z +LINERBOARD L AY1 N ER0 B AO2 R D +LINERS L AY1 N ER0 Z +LINERS' L AY1 N ER0 Z +LINES L AY1 N Z +LINES' L AY1 N Z +LINETTE L IH0 N EH1 T +LINEUP L AY1 N AH2 P +LINEUPS L AY1 N AH2 P S +LINEWEAVER L AY1 N W IY2 V ER0 +LINFORD L IH1 N F ER0 D +LING L IH1 NG +LINGAFELTER L IH1 NG G AH0 F IH0 L T ER0 +LINGARD L IH1 NG G ER0 D +LINGELBACH L IH1 NG G IH0 L B AA0 K +LINGENFELTER L IH1 NG G IH0 N F IH0 L T ER0 +LINGER L IH1 NG G ER0 +LINGER(2) L IH1 NG ER0 +LINGERED L IH1 NG G ER0 D +LINGERFELT L IH1 NG G ER0 F EH2 L T +LINGERIE L AA1 N ZH ER0 EY2 +LINGERING L IH1 NG G ER0 IH0 NG +LINGERING(2) L IH1 NG G R IH0 NG +LINGERS L IH1 NG G ER0 Z +LINGG L IH1 NG G +LINGLE L IH1 NG G AH0 L +LINGNER L IH1 NG N ER0 +LINGO L IH1 NG G OW0 +LINGS L IH1 NG Z +LINGUA L IH1 NG G W AH0 +LINGUINE L IH0 NG G W IY1 N IY0 +LINGUIST L IH1 NG G W IH0 S T +LINGUISTIC L IH0 NG G W IH1 S T IH0 K +LINGUISTICALLY L IH0 NG G W IH1 S T IH0 K L IY0 +LINGUISTICS L IH0 NG G W IH1 S T IH0 K S +LINGUISTS L IH1 NG G W IH0 S T S +LINGUS L IH1 NG G AH0 S +LINH L IH1 N +LINHARDT L IH1 N HH AA2 R T +LINHARES L IH1 N HH ER0 Z +LINHART L IH1 N HH AA2 R T +LINI L IY1 N IY0 +LINING L AY1 N IH0 NG +LININGER L AY1 N IH0 NG ER0 +LININGS L AY1 N IH0 NG Z +LINK L IH1 NG K +LINK'S L IH1 NG K S +LINKAGE L IH1 NG K AH0 JH +LINKAGE(2) L IH1 NG K IH0 JH +LINKAGES L IH1 NG K IH0 JH IH0 Z +LINKE L IH1 NG K +LINKED L IH1 NG K T +LINKEDIN L IH1 NG K T IH2 N +LINKENHOKER L IH1 NG K IH0 N HH AH0 K ER0 +LINKER L IH1 NG K ER0 +LINKING L IH1 NG K IH0 NG +LINKLETTER L IH1 NG K L EH2 T ER0 +LINKOUS L IH1 NG K AH0 S +LINKS L IH1 NG K S +LINKUP L IH1 NG K AH2 P +LINKUPS L IH1 NG K AH2 P S +LINLEY L IH1 N L IY0 +LINN L IH1 N +LINNANE L IH1 N AH0 N +LINNAS L IH1 N AH0 S +LINNE L IH1 N +LINNEA L IH1 N IY0 AH0 +LINNEHAN L IH1 N IH0 HH AE0 N +LINNELL L IH1 N AH0 L +LINNEMAN L IH1 N M AH0 N +LINNEMANN L IH1 N M AH0 N +LINNET L IH1 N IH0 T +LINNEY L IH1 N IY0 +LINNIK L IH1 N IH0 K +LINO L IY1 N OW0 +LINOLEUM L AH0 N OW1 L IY0 AH0 M +LINOTYPE L IH1 N OW0 T AY2 P +LINOWES L IH1 N OW0 Z +LINQUIST L IH1 N K W IH0 S T +LINS L IH1 N Z +LINSAY L IH1 N S EY0 +LINSCOMB L IH1 N S K AH0 M +LINSCOTT L IH1 N S K AH0 T +LINSE L IH1 N S +LINSEED L IH1 N S IY2 D +LINSEY L IH1 N Z IY0 +LINSEY-WOOLSEY L IH1 N Z IY0 W UH1 L Z IY0 +LINSKEY L IH1 N S K IY0 +LINSKY L IH1 N S K IY0 +LINSLEY L IH1 N S L IY0 +LINSON L IH1 N S AH0 N +LINSTROM L IH1 N S T R AH0 M +LINT L IH1 N T +LINTAS L IH1 N T AH0 S +LINTEL L IH1 N T AH0 L +LINTERS L IH1 N T ER0 Z +LINTHICUM L IH1 N TH IH0 K AH0 M +LINTNER L IH1 N T N ER0 +LINTON L IH1 N T AH0 N +LINTZ L IH1 N T S +LINUS L AY1 N AH0 S +LINUX L IH1 N AH0 K S +LINVILLE L IY1 N V IH0 L +LINWICK L IH1 N W IH2 K +LINWOOD L IH1 N W UH2 D 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AH0 S OW2 M +LIPOSOMES L IH1 P AH0 S OW2 M Z +LIPOSUCTION L IH1 P OW0 S AH2 K SH AH0 N +LIPOSUCTION(2) L AY1 P OW0 S AH2 K SH AH0 N +LIPOVSKY L IH0 P AA1 V S K IY0 +LIPP L IH1 P +LIPPA L IH1 P AH0 +LIPPARD L IH1 P ER0 D +LIPPE L IH1 P +LIPPED L IH1 P T +LIPPENS L IH1 P AH0 N Z +LIPPER L IH1 P ER0 +LIPPER'S L IH1 P ER0 Z +LIPPERT L IH1 P ER0 T +LIPPI L IH1 P IY0 +LIPPINCOTT L IH1 P IH0 N K AH0 T +LIPPITT L IH1 P IH0 T +LIPPMAN L IH1 P M AH0 N +LIPPMANN L IH1 P M AH0 N +LIPPO L IH1 P OW0 +LIPPOLD L IH1 P OW2 L D +LIPPS L IH1 P S +LIPPY L IH1 P IY0 +LIPS L IH1 P S +LIPS' L IH1 P S +LIPSCHITZ L IH1 P SH IH0 T S +LIPSCHULTZ L IH1 P SH AH0 L T S +LIPSCHUTZ L IH1 P SH AH0 T S +LIPSCOMB L IH1 P S K AH0 M +LIPSETT L IH1 P S IH0 T +LIPSEY L IH1 P S IY0 +LIPSHIE L IH1 P SH IY0 +LIPSHUTZ L IH1 P SH AH0 T S +LIPSIG L IH1 P S IH0 G +LIPSITZ L IH1 P S IH0 T S +LIPSKI L IH1 P S K IY2 +LIPSKY L IH1 P S K AY2 +LIPSON L IH1 P S AH0 N +LIPSTEIN L IH1 P S T IY2 N +LIPSTEIN(2) L IH1 P S T AY2 N +LIPSTICK L 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AE1 G N AH0 S AH0 N +MAGOON M AH0 G UW1 N +MAGOUIRK M AH0 G W ER1 K +MAGOWAN M AA0 G OW1 W AA0 N +MAGPIE M AE1 G P AY2 +MAGPIES M AE1 G P AY2 Z +MAGRANE M AE1 G R EY2 N +MAGRATH M AH0 G R AE1 TH +MAGRI M AE1 G R IY0 +MAGRINI M AA0 G R IY1 N IY0 +MAGRO M AE1 G R OW0 +MAGRUDER M AH0 G R UW1 D ER0 +MAGS M AE1 G Z +MAGTEN M AE1 G T EH1 N +MAGUIRE M AH0 G W AY1 R +MAGUS M EY1 G AH0 S +MAGWOOD M AE1 G W UH2 D +MAGYAR M AE1 G Y AA2 R +MAGYARS M AE1 G Y AA2 R Z +MAH M AA1 +MAHABHARATA M AA0 HH AA0 B ER0 AA1 T AH0 +MAHADY M AH0 HH AA1 D IY0 +MAHAFFEY M AH0 HH AE1 F IY0 +MAHAFFY M AE1 HH AH0 F IY0 +MAHAL M AH0 HH AA1 L +MAHALA M AE1 HH AH0 L AH0 +MAHALAH M AE1 HH AH0 L AH0 +MAHALIA M AH0 HH AE1 L IY0 AH0 +MAHAMUD M AH0 HH AA1 M UH2 D +MAHAN M EY1 AH0 N +MAHANEY M AH0 HH EY1 N IY0 +MAHANNAH M AH0 HH AE1 N AH0 +MAHANY M AE1 HH AH0 N IY0 +MAHAR M AE1 HH ER0 +MAHARAJA M AA2 HH ER0 AA1 ZH AH2 +MAHARAJA'S M AA0 HH ER0 AA1 ZH AH2 Z +MAHARAJAHS M AA0 HH ER0 AA1 JH AH0 Z +MAHARASHTRA M AA2 HH ER0 AA1 SH T R AH2 +MAHARIV M AA2 HH AA1 R IY0 V +MAHARIVE M AA2 HH AH0 R IY1 V +MAHATHIR M AE1 HH AH0 TH ER0 +MAHATHIR(2) M AH0 HH AE1 TH IH2 R +MAHATHIR(3) M AH0 HH AA1 TH IH2 R +MAHATMA M AH0 HH AA1 T M AH0 +MAHAVIRA M AA1 HH AA0 V IY2 R AA0 +MAHAYANA M AA2 HH AH0 Y AA1 N AH0 +MAHDI M AA1 D IY0 +MAHE M EY1 HH IY0 +MAHEN M EY1 HH EH2 N +MAHEN(2) M EY1 AH0 N +MAHER M AA1 R +MAHESH M AH0 HH EH1 SH +MAHEU M AE1 HH Y UW0 +MAHFOUZ M AA0 F UW1 Z +MAHFOUZ'S M AA0 F UW1 Z IH0 Z +MAHILA M AH0 HH IH1 L AH0 +MAHIN M AE1 HH IH0 N +MAHINDRA M AH0 HH IH1 N D R AH0 +MAHL M AA1 L +MAHLE M EY1 HH AH0 L +MAHLER M AA1 L ER0 +MAHLER'S M AA1 L ER0 Z +MAHLMAN M AA1 L M AH0 N +MAHLMANN M AA1 L M AH0 N +MAHLON M EY1 L AO2 N +MAHLSTEDT M AA1 L S T IH0 T +MAHLUM M AA1 L AH0 M +MAHMOOD M AE1 M UW0 D +MAHMOOD(2) M AA0 M UW1 D +MAHMOUD M AE1 M UW0 D +MAHMOUD(2) M AA0 M UW1 D +MAHMUD M AE1 M UW0 D +MAHMUD(2) M AA0 M UW1 D +MAHN M AE1 N +MAHNKE M AE1 NG K +MAHNKEN M AA1 NG K AH0 N +MAHOGANY M AH0 HH AA1 G AH0 N IY0 +MAHON M EY1 AH0 N +MAHONE M AE1 HH AH0 N +MAHONEY M AH0 HH OW1 N IY0 +MAHONY M AE1 HH AH0 N IY0 +MAHOOD M AA1 HH UH0 D +MAHOWALD M AE1 HH AW0 AO0 L D +MAHR M AA1 R +MAHRT M AA1 R T +MAHTAN M AA1 T AA2 N +MAHTAR M AA1 T ER0 +MAHURIN M AE1 HH Y ER0 IH0 N +MAHVI M AA1 V IY0 +MAHWAH M AA1 W AH0 +MAI M AY1 +MAIA M AY1 AH0 +MAID M EY1 D +MAID'S M EY1 D Z +MAIDA M EY1 D AH0 +MAIDAN M AY2 D AA1 N +MAIDEL M EY1 D AH0 L +MAIDEN M EY1 D AH0 N +MAIDENFORM M EY1 D AH0 N F AO2 R M +MAIDENS M EY1 D AH0 N Z +MAIDIE M EY1 D IY0 +MAIDS M EY1 D Z +MAIDS' M EY1 D Z +MAIELLO M AY2 EH1 L OW0 +MAIER M EY1 ER0 +MAIERS M EY1 ER0 Z +MAIETTA M AY0 EH1 T AH0 +MAIL M EY1 L +MAIL'S M EY1 L Z +MAILBAG M EY1 L B AE2 G +MAILBAGS M EY1 L B AE2 G Z +MAILBOX M EY1 L B AA2 K S +MAILBOXES M EY1 L B AA2 K S IH0 Z +MAILE M EY1 L +MAILED M EY1 L D +MAILER M EY1 L ER0 +MAILER'S M EY1 L ER0 Z +MAILERS M EY1 L ER0 Z +MAILEY M EY1 L IY0 +MAILGRAM M EY1 L G R AE2 M +MAILGRAMS M EY1 L G R AE2 M Z +MAILHOT M AY1 L HH AH0 T +MAILING M EY1 L 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IY0 +MAJESTA M AA0 Y EY1 S T AH0 +MAJESTIC M AH0 JH EH1 S T IH0 K +MAJESTICALLY M AH0 JH EH1 S T IH0 K AH0 L IY0 +MAJESTICALLY(2) M AH0 JH EH1 S T IH0 K L IY0 +MAJESTY M AE1 JH AH0 S T IY0 +MAJESTY'S M AE1 JH AH0 S T IY0 Z +MAJETTE M AH0 ZH EH1 T +MAJEURE M AH0 JH UW1 R +MAJEWSKI M AY0 EH1 F S K IY0 +MAJID M AH0 JH IH1 D +MAJIK M AE1 JH IH0 K +MAJKA M AY1 K AH0 +MAJKOWSKI M AY0 K AO1 F S K IY0 +MAJNOON M AE2 JH N UW1 N +MAJOLICA M AH0 JH AO1 L AH0 K AH0 +MAJOR M EY1 JH ER0 +MAJOR'S M EY1 JH ER0 Z +MAJORCA M AY0 AO1 R K AH0 +MAJORDOMO M EY2 JH ER0 D OW1 M OW0 +MAJORED M EY1 JH ER0 D +MAJORING M EY1 JH ER0 IH0 NG +MAJORITARIAN M AE2 JH ER0 IH0 T EH1 R IY0 AH0 N +MAJORITIES M AH0 JH AO1 R IH0 T IY0 Z +MAJORITY M AH0 JH AO1 R AH0 T IY0 +MAJORITY'S M AH0 JH AO1 R AH0 T IY0 Z +MAJOROS M AA0 Y AO1 R OW0 Z +MAJORS M EY1 JH ER0 Z +MAJORS' M EY1 JH ER0 Z +MAJROOH M AE1 JH R UW0 +MAJURE M AA0 Y UH1 R EY0 +MAK M AE1 K +MAK-KWAN M AE1 K K W AA1 N +MAKAR M AE1 K ER0 +MAKARA M AA0 K AA1 R AH0 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T EH1 S T AH0 +MALATHION M AH0 L AE1 TH IY0 AO0 N +MALATHION(2) M AH0 L AE1 TH IY0 AH0 N +MALAVE M AA0 L AA1 V IY0 +MALAWI M AH0 L AA1 W IY0 +MALAWI'S M AH0 L AA1 W IY0 Z +MALAY M EY1 L EY0 +MALAYAN M AH0 L EY1 AH0 N +MALAYS M AH0 L EY1 Z +MALAYSIA M AH0 L EY1 ZH AH0 +MALAYSIA'S M AH0 L EY1 ZH AH0 Z +MALAYSIAN M AH0 L EY1 ZH AH0 N +MALAYSIANS M AH0 L EY1 ZH AH0 N Z +MALBON M AE1 L B AH0 N +MALBROUGH M AE1 L B R AW0 +MALBURG M AE1 L B ER0 G +MALCHOW M AA1 L HH AW0 +MALCOLM M AE1 L K AH0 M +MALCOLM'S M AE1 L K AH0 M Z +MALCOLMSON M AE1 L K AH0 M S AH0 N +MALCOM M AE1 L K AH0 M +MALCOMB M AE1 L K AH0 M +MALCOMSON M AE1 L K AH0 M S AH0 N +MALCONTENT M AE2 L K AH0 N T EH1 N T +MALCONTENTS M AE2 L K AH0 N T EH1 N T S +MALCZEWSKI M AH0 L CH EH1 F S K IY0 +MALDEN M AO1 L D AH0 N +MALDIVES M AO1 L D AY2 V Z +MALDONADO M AE0 L D AH0 N AA1 D OW0 +MALDUTIS M AA0 L D UW1 T IH0 S +MALE M EY1 L +MALE'S M EY1 L Z +MALEC M AA1 L IH0 K +MALECHA M AH0 L EH1 CH AH0 +MALECKI M AH0 L EH1 K IY0 +MALEFACTOR M 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IY0 +MALICK M AE1 L IH0 K +MALICKI M AH0 L IH1 K IY0 +MALICOAT M AE1 L IH0 K OW2 T +MALIGN M AH0 L AY1 N +MALIGNANCIES M AH0 L IH1 G N AH0 N S IY0 Z +MALIGNANCY M AH0 L IH1 G N AH0 N S IY0 +MALIGNANT M AH0 L IH1 G N AH0 N T +MALIGNED M AH0 L AY1 N D +MALIK M AE1 L IH0 K +MALIN M AE1 L IH0 N +MALIN(2) M EY1 L IH0 N +MALINA M AA0 L IY1 N AH0 +MALINAK M AE1 L IH0 N AE2 K +MALINDA M AA0 L IY1 N D AH0 +MALINDE M AE1 L IH0 N D +MALINE M AA0 L IY1 N IY0 +MALINO M AH0 L IY1 N OW0 +MALINOSKI M AH0 L IH0 N AW1 S K IY0 +MALINOWSKI M AH0 L IH0 N AO1 F S K IY0 +MALINSKI M AH0 L IH1 N S K IY0 +MALIS M AA1 L IY0 Z +MALISZEWSKI M AH0 L IH0 SH EH1 F S K IY0 +MALIZIA M AH0 L IH1 Z IY0 AH0 +MALKIEL M AO1 L K IY0 AH0 L +MALKIEWICZ M AA1 L K AH0 V IH0 CH +MALKIN M AE1 L K IH0 N +MALKOVICH M AO1 L K AH0 V IH0 CH +MALKOWSKI M AH0 L K AO1 F S K IY0 +MALL M AO1 L +MALL'S M AO1 L Z +MALLARD M AE1 L ER0 D +MALLARDS M AE1 L ER0 D Z +MALLE M AE1 L +MALLEABILITY M AE2 L IY0 AH0 B IH1 L AH0 T IY0 +MALLEABLE M AE1 L IY0 AH0 B AH0 L +MALLEK M AE1 L IH0 K +MALLEN M AO1 L AH0 N +MALLER M AO1 L ER0 +MALLERY M AE1 L ER0 IY0 +MALLET M AE1 L IH0 T +MALLETON M AE1 L AH0 T AH0 N +MALLETON'S M AE1 L AH0 T AH0 N Z +MALLETT M AE1 L IH0 T +MALLETTE M AH0 L EH1 T +MALLEY M AE1 L IY0 +MALLIA M AA1 L IY0 AH0 +MALLICK M AE1 L IH0 K +MALLICOAT M AE1 L IH0 K OW0 T +MALLIE M AO1 L IY0 +MALLIGHTCO M AE2 L AY1 T K OW0 +MALLIN M AE1 L IH0 N +MALLINCKRODT M AE1 L IH0 NG K R AA2 T +MALLINGER M AO1 L IH0 NG ER0 +MALLINSON M AE1 L IH0 N S AH0 N +MALLIS M AE1 L IH0 S +MALLISON M AE1 L IH0 S AH0 N +MALLO M AA1 L OW0 +MALLOCH M AE1 L AH0 K +MALLON M AE1 L AH0 N +MALLONEE M AE0 L AH0 N IY1 +MALLORY M AE1 L ER0 IY0 +MALLOSEISMIC M AA1 L OW0 S AY1 Z M IH0 K +MALLOW M AE1 L OW0 +MALLOWS M AE1 L OW0 Z +MALLOY M AH0 L OY1 +MALLOZZI M AE2 L AA1 Z IY0 +MALLRAT M AO1 L R AE0 T +MALLRATS M AO1 L R AE0 T S +MALLS M AO1 L Z +MALLY M AE1 L IY0 +MALM M AA1 M +MALMBERG M AA1 L M B ER0 G +MALMGREN M AE1 L M G R EH0 N +MALMQUIST M AE1 L M K W IH0 S T +MALMSTROM M AE1 L M S T R AH0 M +MALNAR M AE1 L N ER0 +MALNOURISH M AE0 L N ER1 IH0 SH +MALNOURISHED M AE0 L N ER1 IH0 SH T +MALNUTRITION M AE2 L N UW0 T R IH1 SH AH0 N +MALO M AA1 L OW0 +MALON M AE1 L AH0 N +MALONE M AH0 L OW1 N +MALONE'S M AH0 L OW1 N Z +MALONEY M AH0 L OW1 N IY0 +MALOOF M AH0 L UW1 F +MALOSOVICH M AH0 L AO1 S AH0 V IH0 CH +MALOTT M AH0 L AA1 T +MALOUF M AE1 L OW0 F +MALOY M AE1 L OY0 +MALPASS M AE1 L P AH0 S +MALPENSA M AE2 L P EH1 N S AA0 +MALPHRUS M AE1 L F R AH0 S +MALPRACTICE M AE0 L P R AE1 K T AH0 S +MALPRACTICE(2) M AE0 L P R AE1 K T IH0 S +MALRITE M AE1 L R AY2 T +MALRITE'S M AE1 L R AY2 T S +MALSOM M AE1 L S AH0 M +MALSON M AE1 L S AH0 N +MALSTROM M AE1 L S T R AH0 M +MALT M AO1 L T +MALTA M AO1 L T AH0 +MALTAIS M AH0 L T EY1 +MALTASE M AO1 L T EY2 S +MALTBIE M AE1 L T B IY0 +MALTBY M AE1 L T B IY0 +MALTED M AO1 L T AH0 D +MALTER M AO1 L T ER0 +MALTESE M AO0 L T IY1 Z +MALTING M AO1 L T IH0 NG +MALTOSE M AO1 L T OW0 S +MALTREATED M AE0 L T R IY1 T IH0 D +MALTREATMENT M AE0 L T R IY1 T M AH0 N T +MALTS M AO1 L T S +MALTZ M AE1 L T S +MALUEG M AE1 L UH0 G +MALUKEN M AE2 L UW1 K IH0 N +MALUSO M AH0 L UW1 S OW0 +MALVA M AA1 L V AH0 +MALVAL M AA1 L V AA0 L +MALVEAUX M AE0 L V OW1 +MALVERN M AE1 L V ER0 N +MALVIE M AO1 L V IY0 +MALVIN M AE1 L V IH0 N +MALVINA M AA0 L V IY1 N AH0 +MALVINAS M AO0 L V IY1 N AH0 S +MALWARE M AE1 L W EH2 R +MALY M EY1 L IY0 +MALZAHN M AE1 L Z AH0 N +MAM M AA1 M +MAM(2) EH1 M EY1 EH1 M +MAMA M AA1 M AH0 +MAMA'S M AA1 M AH0 Z +MAMARONECK M AH0 M EH1 R AH0 N EH0 K +MAMAS M AA1 M AH0 Z +MAMBA M AA1 M B AH0 +MAMBAS M AA1 M B AH0 Z +MAMBO M AA1 M B OW0 +MAME M EY1 M +MAMELUKE M AE1 M AH0 L UW2 K +MAMET M AE1 M AH0 T +MAMET'S M AE1 M AH0 T S +MAMIE M EY1 M IY0 +MAMIS M AE1 M IH0 S +MAMMA M AA1 M AH0 +MAMMAL M AE1 M AH0 L +MAMMALIAN M AH0 M EY1 L IY0 AH0 N +MAMMALIAN(2) M AH0 M EY1 L Y AH0 N +MAMMALLIKE M AE1 M AH0 L L AY2 K +MAMMALS M AE1 M AH0 L Z +MAMMARY M AE1 M ER0 IY0 +MAMMEN M AE1 M AH0 N +MAMMOGRAM M AE1 M OW0 G R AE2 M +MAMMOGRAMS M AE1 M OW0 G R AE2 M Z +MAMMOGRAPHY M AH0 M AA1 G R AH0 F IY0 +MAMMOTH M AE1 M AH0 TH +MAMMOTHS M AE1 M AH0 TH S +MAMONE M AH0 M OW1 N +MAMSTED M AE1 M S T EH0 D +MAMULA M AE1 M Y UW0 L AH0 +MAN M AE1 N +MAN'S M AE1 N Z +MAN-MADE M AE1 N M EY2 D +MANA M AA1 N AH0 +MANAC M AE1 N AE0 K +MANAFORT M AE1 N AH0 F AO0 R T +MANAGE M AE1 N AH0 JH +MANAGE(2) M AE1 N IH0 JH +MANAGEABLE M AE1 N IH0 JH AH0 B AH0 L +MANAGED M AE1 N AH0 JH D +MANAGED(2) M AE1 N IH0 JH D +MANAGEMENT M AE1 N AH0 JH M AH0 N T +MANAGEMENT(2) M AE1 N IH0 JH M AH0 N T +MANAGEMENT'S M AE1 N IH0 JH M AH0 N T S +MANAGEMENTS M AE1 N IH0 JH M AH0 N T S +MANAGEMENTS' M AE1 N IH0 JH M AH0 N T S +MANAGER M AE1 N AH0 JH ER0 +MANAGER(2) M AE1 N IH0 JH ER0 +MANAGER'S M AE1 N IH0 JH ER0 Z +MANAGERIAL M AE2 N IH0 JH IH1 R IY0 AH0 L +MANAGERS M AE1 N AH0 JH ER0 Z +MANAGERS(2) M AE1 N IH0 JH ER0 Z +MANAGERS' M AE1 N AH0 JH ER0 Z +MANAGES M AE1 N IH0 JH IH0 Z +MANAGING M AE1 N AH0 JH IH0 NG +MANAGUA M AH0 N AA1 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AA1 R SH AH0 Z +MARCIAL M AA0 R S IY0 AA1 L +MARCIANO M AA0 R CH IY0 AA1 N OW0 +MARCIANTE M AA1 R CH AH0 N T IY0 +MARCIE M AA1 R K IY0 +MARCIL M AA1 R S IH0 L +MARCILE M AA1 R CH AH0 L +MARCILIO M AA0 R S IY1 L IY0 OW0 +MARCILLE M AA1 R S IH0 L +MARCIN M AA0 R S IY1 N +MARCINEK M ER0 CH IH1 N EH0 K +MARCINIAK M ER0 CH IH1 N IY0 AE0 K +MARCINKO M AA2 R S IH1 NG K OW0 +MARCINKOWSKI M ER0 CH IH0 NG K AO1 F S K IY0 +MARCINKUS M AA2 R S IH1 NG K AH0 S +MARCISSA M AA2 R S IH1 S AH0 +MARCKESANO M AA2 R K EH2 S AA1 N OW0 +MARCKS M AA1 R K S +MARCMANN M AA1 R K M AH0 N +MARCO M AA1 R K OW0 +MARCO'S M AA1 R K OW2 Z +MARCOE M AA1 R K OW0 +MARCOM M AA1 R K AH0 M +MARCON M AA1 R K AH0 N +MARCONE M AA0 R K OW1 N IY0 +MARCONI M AA0 R K OW1 N IY0 +MARCOR M AA1 R K AO2 R +MARCOS M AA1 R K OW0 S +MARCOS' M AA1 R K OW0 S +MARCOS'(2) M AA1 R K OW0 S IH0 Z +MARCOS'S M AA1 R K AH0 S IH0 Z +MARCOSES M AA0 R K OW1 S IH0 Z +MARCOSES' M AA0 R K OW1 S IH0 Z +MARCOTT M AA0 R K AA1 T +MARCOTTE M AA0 R K AO1 T +MARCOU M AA0 R K UW1 +MARCOUX M AA0 R K UW1 +MARCRUM M AA1 R K R AH0 M +MARCUCCI M AA0 R K UW1 CH IY0 +MARCUM M AA1 R K AH0 M +MARCUS M AA1 R K AH0 S +MARCUS'S M AA1 R K AH0 S IH0 Z +MARCUSSEN M AA1 R K AH0 S AH0 N +MARCY M AA1 R S IY0 +MARCZAK M AA1 R CH AE0 K +MARDEN M AA1 R D AH0 N +MARDER M AA1 R D ER0 +MARDI M AA1 R D IY0 +MARDI-GRAS M AA1 R D IY0 G R AA2 +MARDIS M AA1 R D IH0 S +MARDIS(2) M AA1 R D IY0 S +MARDON M AA1 R D AH0 N +MARE M EH1 R +MARE'S M EH1 R Z +MAREADY M ER0 EH1 D IY0 +MAREAN M AA0 R IY1 N +MAREK M AA1 R EH0 K +MARELDA M AA0 R EH1 L D AH0 +MARELLA M ER0 EH1 L AH0 +MARELLI M EH0 R EH1 L IY0 +MARENO M AA0 R EH1 N OW0 +MARES M EH1 R Z +MARESCA M AA0 R EH1 S K AH0 +MARESCO M AA0 R EH1 S K OW0 +MARESH M AE1 R IH0 SH +MARET M AA1 R EY0 T +MARETT M AE1 R IH0 T +MARETTA M AA0 R EH1 T AH0 +MARETTE M ER0 EH1 T +MAREZ M AA0 R EH1 Z +MARFA M AA1 R F AH0 +MARGA M AA1 R G AH0 +MARGALO M AA0 R G AA1 L OW0 +MARGALOV M AA1 G AH0 L AO0 V +MARGARET M AA1 R G ER0 IH0 T +MARGARET(2) M AA1 R G R AH0 T +MARGARET(3) M AA1 R G R IH0 T +MARGARET'S M AA1 R G ER0 IH0 T S +MARGARET'S(2) M AA1 R G R IH0 T S +MARGARETA M AA0 R G AA0 R EH1 T AH0 +MARGARETE M AA1 R G ER0 IY2 T +MARGARETHE M AA0 R G AA0 R EH1 DH IY0 +MARGARETTEN M AA2 R G ER0 EH1 T AH0 N +MARGARINE M AA1 R JH ER0 AH0 N +MARGARITA M AA2 R G ER0 IY1 T AH0 +MARGARITAS M AA2 R G EH0 R IY1 T AH0 S +MARGAUX M AA0 R G OW1 +MARGE M AA1 R JH +MARGEOTES M AA1 R JH IY0 OW2 T IY0 Z +MARGERUM M AA1 R G ER0 AH0 M +MARGERY M AA1 R JH ER0 IY0 +MARGESON M AA1 R G IH0 S AH0 N +MARGET M AA1 R G IH0 T +MARGETTE M AA0 R ZH EH1 T +MARGIE M AA1 R JH IY0 +MARGIN M AA1 R JH AH0 N +MARGINAL M AA1 R JH AH0 N AH0 L +MARGINALIZATION M AA2 R JH AH0 N AH0 L AH0 Z EY1 SH AH0 N +MARGINALIZE M AA1 R JH AH0 N AH0 L AY2 Z +MARGINALIZED M AA1 R JH AH0 N AH0 L AY2 Z D +MARGINALIZES M AA1 R JH AH0 N AH0 L AY2 Z IH0 Z +MARGINALIZING M AA1 R JH AH0 N AH0 L AY2 Z IH0 NG +MARGINALLY M AA1 R JH AH0 N AH0 L IY0 +MARGINED M AA1 R JH AH0 N D +MARGINING M AA1 R JH AH0 N IH0 NG +MARGINS M AA1 R JH AH0 N Z +MARGIOTTA M AA0 R JH OW1 T AH0 +MARGITTAI M AA1 R JH IH0 T AY2 +MARGO M AA1 R G OW0 +MARGOLICK M AA0 R G OW1 L IH0 K +MARGOLIES M AA0 R G OW1 L IY0 Z +MARGOLIN M AA1 R G AH0 L IH0 N +MARGOLIN(2) M AA0 R G OW1 L AH0 N +MARGOLIS M AA0 R G OW1 L IH0 S +MARGORY M ER0 G ER1 IY0 +MARGOSHES M AA0 R G AO1 SH IH0 Z +MARGOT M AA1 R G OW0 +MARGRAF M AA1 R G R AH0 F +MARGRAVE M AA1 R G R EY2 V +MARGRET M AA1 R G R EH0 T +MARGRET'S M AA1 R G R EH0 T S +MARGUERITE M AA2 R G ER0 IY1 T +MARGULIES M AA1 R G UW0 L IY0 Z +MARGULIS M AA1 R G AH0 L IH0 S +MARGUS M AA1 R G AH0 S +MARGY M AA1 R JH IY0 +MARHEFKA M ER0 HH EH1 F K AH0 +MARI M AA1 R IY0 +MARIA M ER0 IY1 AH0 +MARIA'S M ER0 IY1 AH0 Z +MARIACHI M AA2 R IY0 AA1 CH IY0 +MARIAH M ER0 AY1 AH0 +MARIAM M EH1 R IY0 AE0 M +MARIAN M EH1 R IY0 AH0 N +MARIAN'S M EH1 R IY0 AH0 N Z +MARIANA M EH2 R IY0 AE1 N AH0 +MARIANAS M EH2 R IY0 AE1 N AH0 S +MARIANI M AA0 R IY0 AA1 N IY0 +MARIANI(2) M AA0 R IY0 AE1 N IY0 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AH0 N +MARIMBA M ER0 IH1 M B AH0 +MARIMBALAX M ER0 IH1 M B AH0 L AH2 K S +MARIN M EH1 R IH0 N +MARINA M ER0 IY1 N AH0 +MARINACCIO M AA0 R IH0 N AA1 CH IY0 OW0 +MARINADE M AA1 R IH0 N EY2 D +MARINADES M AA1 R IH0 N EY2 D Z +MARINARO M AA0 R IH0 N AA1 R OW0 +MARINAS M ER0 IY1 N AH0 Z +MARINATE M EH1 R AH0 N EY2 T +MARINATED M EH1 R AH0 N EY2 T IH0 D +MARINATES M EH1 R AH0 N EY2 T S +MARINATING M EH1 R AH0 N EY2 T IH0 NG +MARINE M ER0 IY1 N +MARINE'S M ER0 IY1 N Z +MARINEAU M EH1 R IH0 N OW0 +MARINELAND M ER0 IY1 N L AH0 N D +MARINELLI M AA0 R IH0 N EH1 L IY0 +MARINELLO M AA0 R IH0 N EH1 L OW0 +MARINER M EH1 R AH0 N ER0 +MARINERS M EH1 R AH0 N ER0 Z +MARINES M ER0 IY1 N Z +MARINES' M ER0 IY1 N Z +MARINEZ M AA0 R IY1 N EH0 Z +MARING M EH1 R IH0 NG +MARINI M AA0 R IY1 N IY0 +MARINKOVICH M ER0 IH1 NG K AH0 V IH0 CH +MARINO M ER0 IY1 N OW0 +MARINO'S M ER0 IY1 N OW0 Z +MARINOFF M AE1 R IH0 N AO0 F +MARINOS M ER0 IY1 N OW0 Z +MARINUCCI M AA0 R IY0 N UW1 CH IY0 +MARINVEST M ER0 IH1 N V AH0 S T 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K D AW2 N Z +MARKE M AA1 R K +MARKED M AA1 R K T +MARKEDLY M AA1 R K AH0 D L IY0 +MARKEDLY(2) M AA1 R K IH0 D L IY0 +MARKEE M AA1 R K IY1 +MARKEL M AA1 R K AH0 L +MARKEL(2) M AA0 R K EH1 L +MARKELL M AA1 R K AH0 L +MARKEN M AA1 R K AH0 N +MARKER M AA1 R K ER0 +MARKERS M AA1 R K ER0 Z +MARKERT M AA1 R K ER0 T +MARKESE M AA0 R K IY1 S +MARKET M AA1 R K AH0 T +MARKET(2) M AA1 R K IH0 T +MARKET'S M AA1 R K AH0 T S +MARKETABILITY M AA2 R K IH0 T AH0 B IH1 L IH0 T IY0 +MARKETABLE M AA1 R K AH0 T AH0 B AH0 L +MARKETAMERICA M AA2 R K AH0 T AH0 M EH1 R IH0 K AH0 +MARKETED M AA1 R K AH0 T AH0 D +MARKETED(2) M AA1 R K AH0 T IH0 D +MARKETEER M AA2 R K AH0 T IH1 R +MARKETEERS M AA2 R K AH0 T IH1 R Z +MARKETER M AA1 R K AH0 T ER0 +MARKETER'S M AA1 R K AH0 T ER0 Z +MARKETERS M AA2 R K AH0 T ER0 Z +MARKETERS' M AA1 R K AH0 T ER0 Z +MARKETI M AA1 R K AH0 T IY0 +MARKETING M AA1 R K AH0 T IH0 NG +MARKETING'S M AA1 R K AH0 T IH0 NG Z +MARKETINGS M AA1 R K AH0 T IH0 NG Z +MARKETMAKER M AA1 R K AH0 T M EY2 K ER0 +MARKETMAKERS M AA1 R K AH0 T M EY2 K ER0 Z +MARKETPLACE M AA1 R K AH0 T P L EY2 S +MARKETPLACE(2) M AA1 R K IH0 T P L EY2 S +MARKETPLACE'S M AA1 R K AH0 T P L EY2 S IH0 Z +MARKETPLACES M AA1 R K AH0 T P L EY2 S IH0 Z +MARKETS M AA1 R K AH0 T S +MARKETS(2) M AA1 R K IH0 T S +MARKETS' M AA1 R K IH0 T S +MARKETSCOPE M AA1 R K AH0 T S K OW2 P +MARKETWIDE M AA1 R K AH0 T W AY2 D +MARKEY M AA1 R K IY2 +MARKEY'S M AA1 R K IY2 Z +MARKGRAF M AA1 R K G R AH0 F +MARKHAM M AA1 R K AH0 M +MARKHAM'S M AA1 R K AH0 M Z +MARKIE M AA1 R K IY0 +MARKIEWICZ M AA1 R K AH0 V IH0 CH +MARKIN M AA1 R K IH0 N +MARKING M AA1 R K IH0 NG +MARKINGS M AA1 R K IH0 NG Z +MARKKA M AA1 R K AH0 +MARKKAA M AA0 R K AA1 +MARKKAS M AA1 R K AH0 S +MARKLAND M AA1 R K L AH0 N D +MARKLE M AA1 R K AH0 L +MARKLEY M AA1 R K L IY0 +MARKMAN M AA1 R K M AH0 N +MARKO M AA1 R K OW0 +MARKOFF M AA1 R K AO2 F +MARKOS M AA1 R K OW0 Z +MARKOV M AA1 R K OW0 V +MARKOVIAN M AA2 R K OW1 V IY2 AH0 N +MARKOVIC M AA1 R K AH0 V IH0 K +MARKOVICH M AA1 R K AH0 V IH0 CH +MARKOVITZ M AA1 R K AH0 V IH0 T S +MARKOW M AA1 R K OW0 +MARKOWICZ M AA1 R K AH0 V IH0 CH +MARKOWITZ M AA1 R K AH0 W IH0 T S +MARKOWSKI M ER0 K AO1 F S K IY0 +MARKS M AA1 R K S +MARKS'S M AA1 R K S IH0 Z +MARKSBERRY M AA1 R K S B EH2 R IY0 +MARKSMAN M AA1 R K S M AH0 N +MARKSMANSHIP M AA1 R K S M AH0 N SH IH0 P +MARKSMEN M AA1 R K S M EH0 N +MARKSON M AA1 R K S AH0 N +MARKUM M AA1 R K AH0 M +MARKUNAS M AA1 R K UW0 N AH0 Z +MARKUP M AA1 R K AH2 P +MARKUPS M AA1 R K AH2 P S +MARKUS M AA1 R K AH0 S +MARKUSON M AA1 R K AH0 S AH0 N +MARKWARDT M AA1 R K W AO0 R T +MARKWELL M AA1 R K W EH2 L +MARKWOOD M AA1 R K W UH2 D +MARKY M AA1 R K IY0 +MARLA M AA1 R L AH0 +MARLAND M AA1 R L AH0 N D +MARLAR M AA1 R L ER0 +MARLATT M AA1 R L AH0 T +MARLBORO M AA1 R L B ER0 OW0 +MARLBORO'S M AA1 R L B ER0 R OW0 Z +MARLBOROS M AA1 R L B ER0 R OW0 Z +MARLBOROUGH M AA1 R L B ER0 OW0 +MARLEEN M AA0 R L IY1 N +MARLEENE M AA0 R L IY1 N +MARLEN M AA1 R L AH0 N +MARLENA M AA0 R L EY1 N AH0 +MARLENE M AA1 R L IY2 N +MARLENS M AA1 R L AH0 N Z +MARLER M AA1 R L ER0 +MARLETT M AA1 R L IH0 T +MARLETTE M AA2 R L EH1 T +MARLEY M AA1 R L IY0 +MARLIAVE M AA2 R L IY0 EH1 V +MARLIN M AA1 R L AH0 N +MARLIN(2) M AA1 R L IH0 N +MARLING M AA1 R L IH0 NG +MARLINS M AA1 R L AH0 N Z +MARLINS' M AA1 R L AH0 N Z +MARLO M AA1 R L OW0 +MARLON M AA1 R L AH0 N +MARLOW M AA1 R L OW0 +MARLOWE M AA1 R L OW2 +MARLTON M AA1 R L T AH0 N +MARLYS M AA1 R L IY0 Z +MARMADUKE M AA1 R M AH0 D UW2 K +MARMADUKE'S M AA1 R M AH0 D UW2 K S +MARMALADE M AA1 R M AH0 L EY2 D +MARMALADES M AA1 R M AH0 L EY2 D Z +MARMARA M AA0 R M AA1 R AH0 +MARMER M AA1 R M ER0 +MARMION M AA1 R M IY0 AH0 N +MARMO M AA1 R M OW0 +MARMOLEJO M AA0 R M OW0 L EY1 Y OW0 +MARMON M AA1 R M AH0 N +MARMOR M AA1 R M ER0 +MARMOSET M AA1 R M AH0 Z EH2 T +MARNELL M AA1 R N AH0 L +MARNER M AA1 R N ER0 +MARNEY M AA1 R N IY0 +MARNIE M AA1 R N IY0 +MARO M AA1 R OW0 +MAROC M AA2 R AO1 K +MAROGEN M EH1 R OW0 G AH0 N +MAROHL M AE1 R OW0 L 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EH2 L OW0 +MARSHMALLOWS M AA1 R SH M EH2 L OW0 Z +MARSHMAN M AA1 R SH M AH0 N +MARSHY M AA1 R SH IY0 +MARSICANO M AA0 R S IY0 K AA1 N OW0 +MARSICO M AA0 R S IY1 K OW0 +MARSIGLIA M AA2 R S IH1 G L IY0 AH0 +MARSILI M AA0 R S IY1 L IY0 +MARSISA M AA0 R S IH1 S AH0 +MARSISA'S M AA0 R S IH1 S AH0 Z +MARSLAND M AA1 R S L AH0 N D +MARSO M AA1 R S OW0 +MARSOLEK M AA1 R S AH0 L EH0 K +MARSON M AA1 R S AH0 N +MARSTELLER M AA1 R Z T EH2 L ER0 +MARSTERS M AA1 R S T ER0 Z +MARSTON M AA1 R S T AH0 N +MARSUPIAL M AA0 R S UW1 P IY0 AH0 L +MARSUPIALS M AA0 R S UW1 P IY0 AH0 L S +MARSZALEK M ER0 SH AA1 L EH0 K +MART M AA1 R T +MART'S M AA1 R T S +MARTA M AA1 R T AH0 +MARTE M AA1 R T +MARTECH M AA1 R T EH2 K +MARTEK M AA1 R T EH2 K +MARTEL M AA1 R T EH2 L +MARTELL M AA1 R T EH2 L +MARTELLA M AA2 R T EH1 L AH0 +MARTELLE M AA0 R T EH1 L +MARTELLI M AA0 R T EH1 L IY0 +MARTELLINI M AA2 R T EH2 L IY1 N IY0 +MARTELLO M AA0 R T EH1 L OW0 +MARTEN M AA1 R T AH0 N +MARTENEY M AA1 R T IH0 N IY0 +MARTENS M AA1 R T 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S AH0 N +MARXISM M AA1 R K S IH0 Z AH0 M +MARXIST M AA1 R K S AH0 S T +MARXIST(2) M AA1 R K S IH0 S T +MARXISTS M AA1 R K S IH0 S T S +MARY M EH1 R IY0 +MARY'S M EH1 R IY0 Z +MARYA M AA1 R Y AH0 +MARYALICE M EH0 R IY0 AE1 L AH0 S +MARYANN M EH0 R IY0 AE1 N +MARYANNE M EH0 R IY0 AE1 N +MARYBETH M EH1 R IY0 B EH1 TH +MARYLAND M EH1 R AH0 L AH0 N D +MARYLAND'S M EH1 R AH0 L AH0 N D Z +MARYLEBONE M ER1 L AH0 B OW0 N +MARYLIN M AE1 R IH0 L IH0 N +MARYLOU M AE1 R IY0 L UW0 +MARYMOUNT M EH1 R IY0 M AW2 N T +MARYMOUNT'S M EH1 R IY0 M AW2 N T S +MARYRUTH M AE1 R IH0 R UW0 TH +MARYSE M AA0 R IY1 S +MARYSVILLE M EH1 R IY0 Z V IH2 L +MARYVILLE M EH1 R IY0 V IH2 L +MARZ M AA1 R Z +MARZAN M AA1 R Z AH0 N +MARZANO M AA0 R Z AA1 N OW2 +MARZEC M AA1 R Z IH0 K +MARZETTE M AA2 R Z EH1 T +MARZILLI M AA0 R Z IY1 L IY2 +MARZO M AA1 R Z OW2 +MARZOLF M AA1 R Z OW2 L F +MARZOTTO M AA2 R Z AA1 T OW2 +MARZULLO M AA0 R Z UW1 L OW2 +MAS M AA1 Z +MASA M AA1 S AA0 +MASAAKI M AA2 S AA0 AA1 K IY2 +MASAHIKO M AA2 S AA0 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M AE1 S +MASS.(2) M AE2 S AH0 CH UW1 S AH0 T S +MASSA M AE1 S AH0 +MASSACHUSETTS M AE2 S AH0 CH UW1 S AH0 T S +MASSACHUSETTS' M AE2 S AH0 CH UW1 S AH0 T S +MASSACHUSSETTS M AE2 S AH0 CH UW1 S AH0 T S +MASSACRE M AE1 S AH0 K ER0 +MASSACRED M AE1 S AH0 K ER0 D +MASSACRES M AE1 S IH0 K ER0 Z +MASSACRING M AE1 S AH0 K ER0 IH0 NG +MASSAD M AE1 S AH0 D +MASSAGE M AH0 S AA1 ZH +MASSAGED M AH0 S AA1 ZH D +MASSAGER M AH0 S AA1 ZH ER0 +MASSAGERS M AH0 S AA1 ZH ER0 Z +MASSAGES M AH0 S AA1 ZH IH0 Z +MASSAGING M AH0 S AA1 ZH IH0 NG +MASSAR M AE1 S ER0 +MASSARI M AA0 S AA1 R IY0 +MASSARO M AH0 S AA1 R OW0 +MASSAT M AH0 S AA1 T +MASSBAUCH M AE1 S B AA2 K +MASSE M AE1 S +MASSED M AE1 S T +MASSENBURG M AE1 S AH0 N B ER0 G +MASSENET M AE1 S AH0 N EH2 T +MASSENET'S M AE1 S AH0 N EH2 T S +MASSENGALE M AE1 S AH0 N G EY2 L +MASSENGILL M AE1 S AH0 N G IH2 L +MASSER M AE1 S ER0 +MASSERY M AE1 S ER0 IY0 +MASSES M AE1 S AH0 Z +MASSES(2) M AE1 S IH0 Z +MASSETT M AE1 S IH0 T +MASSEY M AE1 S IY0 +MASSI M AE1 S IY0 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M ER1 V IH0 N +MERVYN'S M ER1 V IH0 N Z +MERWE M ER1 W IY0 +MERWIN M ER1 W IH0 N +MERWYN M ER1 W IH0 N +MERYL M EH1 R AH0 L +MERYLL M EH1 R AH0 L +MERZ M ER1 Z +MESA M EY1 S AH0 +MESA'S M EY1 S AH0 Z +MESABA M EH0 S AA1 B AH0 +MESAROS M EY0 S AA1 R OW0 Z +MESBIC M EH1 S B IH0 K +MESBICS M EH1 S B IH0 K S +MESCALERO M EH2 S K AH0 L EH1 R OW0 +MESCALINE M EH1 S K AH0 L IY2 N +MESCH M EH1 SH +MESCHED M EH1 SH EH0 D +MESCHER M EH1 SH ER0 +MESCHKE M EH1 SH K +MESDAMES M EY0 D AE1 M Z +MESELSOHN M EH1 Z AH0 L S AH0 N +MESELSON M EH1 Z AH0 L S AH0 N +MESENBRINK M EH1 S IH0 N B R IH0 NG K +MESENCHYMAL M EH2 Z EH0 K AY1 M AH0 L +MESENCHYMAL(2) M EH2 Z EH1 N K AH0 M AH0 L +MESENTERIC M EH2 S AH0 N T EH1 R IH0 K +MESEROLE M EH0 S ER0 OW1 L IY0 +MESERVE M EH1 S ER0 V +MESERVEY M EH0 Z ER0 V EY1 +MESH M EH1 SH +MESHED M EH1 SH T +MESHELL M EH1 SH AH0 L +MESHES M EH1 SH IH0 Z +MESHING M EH1 SH IH0 NG +MESHULAM M EH1 SH UW0 L AE0 M +MESICK M EH1 S IH0 K +MESIROW M EH1 S IH0 R OW0 +MESKE M EH1 S K 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AO0 R +MESSANA M EH0 S AE1 N AH0 +MESSED M EH1 S T +MESSEGHERO M EH2 S AH0 G EH1 R OW0 +MESSEL M EH1 S AH0 L +MESSENGER M EH1 S AH0 N JH ER0 +MESSENGER(2) M EH1 S IH0 N JH ER0 +MESSENGERS M EH1 S AH0 N JH ER0 Z +MESSER M EH1 S ER0 +MESSERLI M EH1 S ER0 L IY0 +MESSERLY M EH1 S ER0 L IY0 +MESSERSCHMIDT M EH1 S ER0 SH M IH2 T +MESSERSCHMITT M EH1 S ER0 SH M IH2 T +MESSERSMITH M EH1 S ER0 S M IH2 TH +MESSES M EH1 S IH0 Z +MESSIAEN M EH1 S IY0 EY2 N +MESSIAEN'S M EH1 S IY0 EY2 N Z +MESSIAH M AH0 S AY1 AH0 +MESSIAHS M AH0 S AY1 AH0 Z +MESSIANIC M EH2 S IY0 AE1 N IH0 K +MESSICK M EH1 S IH0 K +MESSIER M EH1 S IY0 ER0 +MESSIEURS M EY0 S Y ER1 Z +MESSIMER M EH1 S IH0 M ER0 +MESSINA M IH0 S IY1 N AH0 +MESSINEO M EH2 S IH1 N IY0 OW0 +MESSING M EH1 S IH0 NG +MESSINGER M EH1 S IH0 NG ER0 +MESSLER M EH1 S L ER0 +MESSMAN M EH1 S M AH0 N +MESSMER M EH1 S M ER0 +MESSMORE M EH1 S M AO0 R +MESSNER M EH1 S N ER0 +MESSRS M EH1 S ER0 Z +MESSRS. M EH1 S ER0 Z +MESSRS.(2) M IH0 S UW1 R Z +MESSY M EH1 S IY0 +MEST M EH1 S T +MESTA M EH1 S T AH0 +MESTAS M EH1 S T AH0 Z +MESTEK M EH1 S T EH2 K +MESTER M EH1 S T ER0 +MESTIZO M EH0 S T IY1 Z OW0 +MESTON M EH1 S T AH0 N +MESTRALLET M EH1 S T R AH0 L EH2 T +MESTRE M EH1 S T ER0 +MESTROVIC M EH1 S T R OW0 V IH0 K +MESZAROS M IH0 SH AA1 R OW0 Z +MET M EH1 T +MET'S M EH1 T S +META M IY1 T AH0 +METABOLIC M EH2 T AH0 B AA1 L IH0 K +METABOLISM M AH0 T AE1 B AH0 L IH2 Z AH0 M +METABOLISMS M AH0 T AE1 B AH0 L IH2 Z AH0 M Z +METABOLITE M AH0 T AE1 B AH0 L AY2 T +METABOLITES M AH0 T AE1 B AH0 L AY2 T S +METABOLIZE M AH0 T AE1 B AH0 L AY2 Z +METACARPAL M EH2 T AH0 K AA1 R P AH0 L +METACARPALS M EH2 T AH0 K AA1 R P AH0 L Z +METAGOGUE M EH1 T AH0 G AO2 G +METAGOGUED M EH1 T AH0 G AO2 G D +METAIRIE M AH0 T EH1 R IY0 +METAL M EH1 T AH0 L +METAL'S M EH1 T AH0 L Z +METALL M EH1 T AO1 L +METALLATZ M EH1 T AE1 L AH0 T S +METALLGESELLSCHAFT M EH2 T AH0 L G EH1 S AH0 L SH AE2 F T +METALLGESELLSCHAFT'S M EH2 T AH0 L G EH1 S AH0 L SH AE2 F T S +METALLIC M AH0 T AE1 L IH0 K +METALLIC'S M AH0 T AE1 L IH0 K S +METALLICA M AH0 T AE1 L IH0 K AH0 +METALLICA'S M AH0 T AE1 L IH0 K AH0 Z +METALLICS M AH0 T AE1 L IH0 K S +METALLO M EH0 T AA1 L OW0 +METALLURGICAL M EH2 T AH0 L ER1 JH IH0 K AH0 L +METALLURGY M EH1 T AH0 L ER0 JH IY0 +METALS M EH1 T AH0 L Z +METALS' M EH1 T AH0 L Z +METALWORK M EH1 T AH0 L W ER2 K +METALWORKER M EH1 T AH0 L W ER2 K ER0 +METALWORKERS M EH1 T AH0 L W ER2 K ER0 Z +METALWORKING M EH1 T AH0 L W ER2 K IH0 NG +METAMORPHASIS M EH2 T AH0 M AO1 R F AH0 S AH0 S +METAMORPHIC M EH2 T AH0 M AO1 R F IH0 K +METAMORPHOSE M EH2 T AH0 M AO1 R F OW0 Z +METAMORPHOSIS M EH2 T AH0 M AO1 R F AH0 S AH0 S +METAMUCIL M EH2 T AH0 M Y UW1 S AH0 L +METAMUCIL'S M EH2 T AH0 M Y UW1 S AH0 L Z +METAPHOR M EH1 T AH0 F AO0 R +METAPHORICAL M EH2 T AH0 F AO1 R IH0 K AH0 L +METAPHORICALLY M EH2 T AH0 F AO1 R IH0 K L IY0 +METAPHORS M EH1 T AH0 F AO0 R Z +METAPHYSICAL M EH2 T AH0 F IH1 Z IH0 K AH0 L +METAPHYSICS M EH2 T AH0 F IH1 Z IH0 K S +METASTASES M AH0 T AE1 S T EY2 S IY0 S +METASTASIS M AH0 T AE1 S T AH0 S IH0 S +METASTASIZE M AH0 T AE1 S T AH0 S AY2 Z +METASTASIZED M AH0 T AE1 S T AH0 S AY2 Z D +METASTATIC M EH2 T AH0 S T AE1 T IH0 K +METATHORAX M EH2 T AH0 TH AO1 R AE2 K S +METAVSKY M AH0 T AE1 V S K IY0 +METAXAS M AH0 T AE1 K S AH0 S +METCALF M EH1 T K AE2 F +METCALFE M EH1 T K AH0 L F +METCOM M EH1 T K AA0 M +METE M IY1 T +METE(2) M EH1 T AH0 +METED M IY1 T IH0 D +METEOR M IY1 T IY0 ER0 +METEORIC M IY2 T IY0 AO1 R IH0 K +METEORITE M IY1 T IY0 AO0 R AY2 T +METEOROLOGICAL M IY2 T IY0 AO2 R AH0 L AA1 JH IH0 K AH0 L +METEOROLOGIST M IY2 T IY0 ER0 AA1 L AH0 JH IH0 S T +METEOROLOGIST'S M IY2 T IY0 ER0 AA1 L AH0 JH IH0 S T S +METEOROLOGISTS M IY2 T IY0 ER0 AA1 L AH0 JH IH0 S T S +METEOROLOGY M IY2 T IY0 ER0 AA1 L AH0 JH IY0 +METEORS M IY1 T IY0 ER0 Z +METER M IY1 T ER0 +METERED M IY1 T ER0 D +METERING M IY1 T ER0 IH0 NG +METERS M IY1 T ER0 Z +METEX M EH1 T EH2 K S +METH M EH1 TH +METHADONE M EH1 TH AH0 D OW2 N +METHAMPHETAMINE M EH2 TH AE0 M F EH1 T AH0 M IY0 N +METHAMPHETAMINE(2) M EH2 TH AE0 M F EH1 T AH0 M AY0 N +METHANE M EH1 TH EY2 N +METHANEX M EH1 TH AH0 N EH2 K S +METHANOL M EH1 TH AH0 N AA2 L +METHAZINE M EH1 TH AH0 Z IY2 N +METHENEY M EH1 TH IH0 N IY0 +METHENY M EH1 TH IH0 N IY0 +METHNER M EH1 TH N ER0 +METHOD M EH1 TH AH0 D +METHODE M AH0 TH OW1 D +METHODICAL M AH0 TH AA1 D AH0 K AH0 L +METHODICAL(2) M AH0 TH AA1 D IH0 K AH0 L +METHODICALLY M AH0 TH AA1 D IH0 K AH0 L IY0 +METHODICALLY(2) M AH0 TH AA1 D IH0 K L IY0 +METHODISM M EH1 TH AH0 D IH2 Z AH0 M +METHODISMS M EH1 TH AH0 D IH2 Z AH0 M Z +METHODIST M EH1 TH AH0 D AH0 S T +METHODIST(2) M EH1 TH AH0 D IH0 S T +METHODOLOGICAL M EH2 TH AH0 D AH0 L AA1 JH IH0 K AH0 L +METHODOLOGIES M EH2 TH OW0 D AA1 L AH0 JH IY0 Z +METHODOLOGY M EH2 TH AH0 D AA1 L AH0 JH IY0 +METHODS M EH1 TH AH0 D Z +METHOT M EH1 TH AH0 T +METHOTREXATE M EH2 TH OW0 T R EH1 K S EY2 T +METHOUGHT M IY2 TH AO1 T +METHUSELAH M AH0 TH 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OW0 D OW2 M +METRODOME(2) M EH1 T R AH0 D OW2 M +METROMAIL M EH1 T R OW0 M EY2 L +METROMEDIA M EH2 T R OW0 M IY1 D IY0 AH0 +METROPLEX M EH1 T R OW0 P L EH2 K S +METROPLEXES M EH1 T R OW0 P L EH2 K S IH0 Z +METROPOL M EH1 T R AH0 P OW2 L +METROPOL'S M EH1 T R AH0 P OW2 L Z +METROPOLI M AH0 T R AA1 P AH0 L IY0 +METROPOLIS M AH0 T R AA1 P AH0 L AH0 S +METROPOLITAIN M EH2 T R AH0 P AO1 L AH0 T AH0 N +METROPOLITAN M EH2 T R AH0 P AA1 L AH0 T AH0 N +METROPOLITAN'S M EH2 T R AH0 P AA1 L AH0 T AH0 N Z +METROPOLITANS M EH2 T R AH0 P AA1 L AH0 T AH0 N Z +METROSEXUAL M EH2 T R AH0 S EH1 K SH UW2 AH0 L +METS M EH1 T S +METS' M EH1 T S +METSKER M EH1 T S K ER0 +METTE M EH1 T +METTER M EH1 T ER0 +METTERNICH M EH1 T ER0 N IH0 CH +METTLE M EH1 T AH0 L +METTLEN M EH1 T L AH0 N +METTLER M EH1 T L ER0 +METTS M EH1 T S +METTUR M EH1 T ER0 +METZ M EH1 T S +METZE M EH1 T Z +METZENBAUM M EH1 T S AH0 N B AW2 M +METZENBAUM'S M EH1 T S AH0 N B AW2 M Z +METZER M EH1 T S ER0 +METZGAR M EH1 T S G ER0 +METZGER M 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M AY1 ER0 S AH0 N +MEYN M EY1 N +MEYO M EY1 OW0 +MEYOHAS M EY0 OW1 HH AA0 S +MEZ M EH1 Z +MEZA M EH1 Z AH0 +MEZERA M EY0 Z EH1 R AH0 +MEZEY M EH1 Z IY0 +MEZGER M EH1 Z JH ER0 +MEZHDUMARODNOM M EH0 Z D UW2 M AH0 R AA1 D N AH0 M +MEZO M EH1 Z OW0 +MEZRO M EH1 Z R OW0 +MEZUZAH M AH0 Z UH1 Z AH0 +MEZVINSKY M EH2 Z V IH1 N S K IY0 +MEZVINSKY'S M EH2 Z V IH1 N S K IY0 Z +MEZZALUNA M EH2 Z AH0 L UW1 N AH0 +MEZZALUNA(2) M EH2 T S AH0 L UW1 N AH0 +MEZZANINE M EH1 Z AH0 N IY2 N +MEZZO M EH1 Z OW0 +MFUME M AH0 F UW1 M EY2 +MG EH2 M G IY1 +MGM EH2 M G IY2 EH1 M +MH EH1 M EY1 CH +MHM AH0 M HH AH0 M +MHOON M HH UW1 N +MI M IY1 +MI-VAMI M IY0 V AE1 M IY0 +MIA M IY1 AH0 +MIAMI M AY0 AE1 M IY0 +MIAMI'S M AY0 AE1 M IY0 Z +MIANO M IY0 AA1 N OW0 +MIARA M AY0 AA1 R AH0 +MIASMA M IY0 AE1 Z M AH0 +MIASMA(2) M AY0 AE1 Z M AH0 +MIATA M IY0 AA1 T AH0 +MIAZGA M IY0 AA1 Z G AH0 +MIB M IH1 B +MIC M IH1 K +MICA M AY1 K AH0 +MICAELA M IY0 K EY1 L AH0 +MICAH M AY1 K AH0 +MICALE M IY0 K AA1 L IY0 +MICALLEF M IH1 K AH0 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AH0 S +MIRACULOUSLY M ER0 AE1 K Y AH0 L AH0 S L IY0 +MIRAD M AH0 R AE1 D +MIRADA M IH0 R AA1 D AH0 +MIRAGE M ER0 AA1 ZH +MIRAGES M ER0 AA1 ZH AH0 Z +MIRAGLIA M IH0 R AE1 G L IY0 AH0 +MIRAK M IH1 R AE0 K +MIRAMAR M IH1 R AH0 M AA2 R +MIRAMAX M IH1 R AH0 M AE2 K S +MIRAMAX'S M IH1 R AH0 M AE2 K S IH0 Z +MIRAMONTES M IH0 R AA0 M OW1 N T EH0 S +MIRANDA M ER0 AE1 N D AH0 +MIRANDA'S M ER0 AE1 N D AH0 Z +MIRANDO M IH0 R AE1 N D OW0 +MIRATEC M IH1 R AH0 T EH2 K +MIRE M AY1 R +MIRE(2) M AY1 ER0 +MIRED M AY1 R D +MIRELES M IH0 R EY1 L EH0 S +MIRELEZ M IH0 R EY1 L EH0 Z +MIRELL M IH0 R EH1 L +MIRELLA M IH0 R EH1 L AH0 +MIRELLE M ER0 EH1 L +MIRENDA M IH0 R EH1 N D AH0 +MIRES M AY1 R Z +MIRIAM M IH1 R IY0 AH0 M +MIRICK M IH1 R IH0 K +MIRILLA M IH0 R IH1 L AH0 +MIRKIN M ER1 K IH0 N +MIRNA M ER1 N AH0 +MIRO M IH1 R OW0 +MIRO(2) M IH0 R OW1 +MIRO'S M IH1 R OW0 Z +MIRO'S(2) M IH0 R OW1 Z +MIRON M IH0 R AO1 N +MIRONENKO M IH2 R OW0 N EH1 NG K OW0 +MIROSLAV M IH1 R AH0 S L AA0 V +MIRRA M IH1 R AH0 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SH AH0 N +MISCALCULATIONS M IH0 S K AE1 L K Y AH0 L EY1 SH AH0 N Z +MISCARRIAGE M IH0 S K EH1 R AH0 JH +MISCARRIAGES M IH0 S K EH1 R IH0 JH IH0 Z +MISCAST M IH0 S K AE1 S T +MISCAVIGE M IH0 S K AE1 V IH1 JH +MISCAYUNA M IH2 S K AY0 Y UW1 N AH0 +MISCAYUNA'S M IH2 S K AY0 Y UW1 N AH0 Z +MISCELLANEOUS M IH2 S AH0 L EY1 N IY0 AH0 S +MISCELLANY M IH1 S AH0 L EY2 N IY0 +MISCH M IH1 SH +MISCHA M IH1 SH AH0 +MISCHARACTERIZATION M IH0 S K AE2 R AH0 K T ER0 AH0 Z EY1 SH AH0 N +MISCHARACTERIZATIONS M IH0 S K AE2 R AH0 K T ER0 AH0 Z EY1 SH AH0 N Z +MISCHARACTERIZE M IH0 S K AE1 R AH0 K T ER0 AY2 Z +MISCHARACTERIZED M IH0 S K AE1 R AH0 K T ER0 AY2 Z D +MISCHARACTERIZES M IH0 S K AE1 R AH0 K T ER0 AY2 Z IH0 Z +MISCHARACTERIZING M IH0 S K AE1 R AH0 K T ER0 AY2 Z IH0 NG +MISCHARGE M IH0 S CH AA1 R JH +MISCHARGED M IH0 S CH AA1 R JH D +MISCHARGES M IH0 S CH AA1 R JH IH0 Z +MISCHARGING M IH0 S CH AA1 R JH IH0 NG +MISCHEL M IH1 SH AH0 L +MISCHER M IH1 SH ER0 +MISCHIEF M IH1 S CH AH0 F +MISCHIEVOUS M IH1 S CH AH0 V AH0 S +MISCHKE M IH1 SH K +MISCHLER M IH1 SH AH0 L ER0 +MISCHLER(2) M IH1 SH L ER0 +MISCIBILITY M IH2 S IH0 B IH1 L IH0 T IY0 +MISCIBLE M IH1 S AH0 B AH0 L +MISCIBLE(2) M IH1 S IH0 B AH0 L +MISCOMMUNICATE M IH0 S K AH0 M Y UW1 N AH0 K EY2 T +MISCOMMUNICATION M IH0 S K AH0 M Y UW2 N AH0 K EY1 SH AH0 N +MISCONCEIVE M IH0 S K AH0 N S IY1 V +MISCONCEIVED M IH0 S K AH0 N S IY1 V D +MISCONCEIVES M IH0 S K AH0 N S IY1 V Z +MISCONCEIVING M IH0 S K AH0 N S IY1 V IH0 NG +MISCONCEPTION M IH0 S K AH0 N S EH1 P SH AH0 N +MISCONCEPTIONS M IH0 S K AH0 N S EH1 P SH AH0 N Z +MISCONDUCT M IH0 S K AA1 N D AH0 K T +MISCONSTRUE M IH0 S K AH0 N S T R UW1 +MISCONSTRUED M IH2 S K AH0 N S T R UW1 D +MISCONSTRUES M IH0 S K AH0 N S T R UW1 Z +MISCONSTRUING M IH0 S K AH0 N S T R UW1 IH0 NG +MISCOUNT M IH1 S K AW1 N T +MISCREANT M IH1 S K R IY0 AH0 N T +MISCREANTS M IH1 S K R IY0 AH0 N T S +MISCREATION M IH0 S K R IY0 EY1 SH AH0 N +MISCREATIONS M IH2 S K R IY0 EY1 SH AH0 N Z +MISCUE M IH1 S K Y UW2 +MISCUES M IH1 S K Y UW2 Z +MISDEED M IH1 S D IY1 D +MISDEEDS M IH0 S D IY1 D Z +MISDEMEANOR M IH2 S D AH0 M IY1 N ER0 +MISDEMEANORS M IH2 S D AH0 M IY1 N ER0 Z +MISDIAGNOSE M IH0 S D AY2 IH0 G N OW1 Z +MISDIAGNOSED M IH0 S D AY2 IH0 G N OW1 Z D +MISDIAGNOSES M IH0 S D AY2 IH0 G N OW1 S IY0 Z +MISDIAGNOSES(2) M IH0 S D AY2 IH0 G N OW1 S AH0 Z +MISDIAGNOSIS M IH0 S D AY2 IH0 G N OW1 S AH0 S +MISDIRECT M IH0 S D IH0 R EH1 K T +MISDIRECTED M IH0 S D IH0 R EH1 K T IH0 D +MISEK M IH1 S EH0 K +MISENER M IH1 S IY0 N ER0 +MISENHEIMER M IH1 S IH0 N HH AY0 M ER0 +MISER M AY1 Z ER0 +MISERABLE M IH1 Z ER0 AH0 B AH0 L +MISERABLE(2) M IH1 Z R AH0 B AH0 L +MISERABLES M IH1 Z ER0 AH0 B AH0 L Z +MISERABLES(2) M IH1 Z R AH0 B AH0 L Z +MISERABLES(3) M IH2 Z ER0 AA1 B +MISERABLY M IH1 Z ER0 AH0 B L IY0 +MISERABLY(2) M IH1 Z R AH0 B L IY0 +MISERATION M IH0 Z ER0 EY1 SH AH0 N +MISERIES M IH1 Z ER0 IY0 Z +MISERLY M AY1 Z ER0 L IY0 +MISERS M AY1 Z ER0 Z +MISERY M IH1 Z ER0 IY0 +MISES M AY1 Z IH0 Z +MISFELDT M IH1 S F IH0 L T +MISFIRE M IH0 S F AY1 ER0 +MISFIT M IH1 S F IH2 T +MISFITS M IH1 S F IH2 T S +MISFORTUNE M IH0 S F AO1 R CH AH0 N +MISFORTUNES M IH0 S F AO1 R CH AH0 N Z +MISGIVE M IH0 S G IH1 V +MISGIVING M IH0 S G IH1 V IH0 NG +MISGIVINGS M IH0 S G IH1 V IH0 NG Z +MISGOVERNMENT M IH0 S G AH1 V ER0 N M AH0 N T +MISGUIDE M IH0 S G AY1 D +MISGUIDED M IH0 S G AY1 D IH0 D +MISGUIDES M IH0 S G AY1 D Z +MISH M IH1 SH +MISHA M IH1 SH AH0 +MISHANDLE M IH0 S HH AE1 N D AH0 L +MISHANDLED M IH0 S HH AE1 N D AH0 L D +MISHANDLES M IH0 S HH AE1 N D AH0 L Z +MISHANDLING M IH0 S HH AE1 N D L IH0 NG +MISHAP M IH1 S HH AE2 P +MISHAPS M IH1 S HH AE2 P S +MISHAWAKA M IH2 SH AH0 W AO1 K AH0 +MISHAWAUM M IH1 SH AH0 W AA2 M +MISHAWUM M IH1 SH AH0 W AH2 M +MISHEAR M IH0 S HH IY1 R +MISHEARD M IH2 S HH ER1 D +MISHKIN M IY1 SH K IY0 N +MISHLER M IH1 SH L ER0 +MISHMASH M IH1 SH M AE2 SH +MISHOE M IY1 SH UW0 +MISHRA M IH1 SH R AH0 +MISIAK M IH1 S IY0 AE0 K +MISIASZEK M IH0 S IY0 AA1 SH EH0 K +MISIDENTIFICATION M IH2 S AY0 D EH2 N T IH0 F IH0 K EY1 SH AH0 N +MISIDENTIFICATION(2) M IH2 S AY0 D EH2 N IH0 F IH0 K EY1 SH AH0 N +MISIDENTIFIED M IH0 S AY0 D EH1 N T IH0 F AY2 D +MISIDENTIFIED(2) M IH0 S AY0 D EH1 N IH0 F AY2 D +MISIDENTIFIES M IH0 S AY0 D EH1 N T IH0 F AY2 Z +MISIDENTIFIES(2) M IH0 S AY0 D EH1 N IH0 F AY2 Z +MISIDENTIFY M IH0 S AY0 D EH1 N T AH0 F AY2 +MISIDENTIFY(2) M IH0 S AY0 D EH1 N AH0 F AY2 +MISIDENTIFYING M IH0 S AY0 D EH1 N T AH0 F AY2 IH0 NG +MISIDENTIFYING(2) M IH0 S AY0 D EH1 N AH0 F AY2 IH0 NG +MISIEWICZ M IH1 S AH0 V IH0 CH +MISIMPRESSION M IH0 S IH0 M P R EH1 SH AH0 N +MISINFORM M IH0 S IH2 N F AO1 R M +MISINFORMATION M IH2 S IH0 N F ER0 M EY1 SH AH0 N +MISINFORMED M IH0 S IH0 N F AO1 R M D +MISINFORMING M IH0 S IH0 N F AO1 R M IH0 NG +MISINFORMS M IH0 S IH2 N F AO1 R M Z +MISINTERPRET M IH0 S IH0 N T ER1 P R AH0 T +MISINTERPRETATION M IH0 S IH0 N T ER2 P R AH0 T EY1 SH AH0 N +MISINTERPRETED M IH0 S IH0 N T ER1 P R AH0 T IH0 D +MISINTERPRETING M IH0 S IH0 N T ER1 P R AH0 T IH0 NG +MISINTERPRETS M IH0 S IH0 N T ER1 P R AH0 T S +MISJUDGE M IH0 S JH AH1 JH +MISJUDGED M IH0 S JH AH1 JH D +MISJUDGES M IH0 S JH AH1 JH IH0 Z +MISJUDGING M IH0 S JH AH1 JH IH0 NG +MISJUDGMENT M IH0 S JH AH1 JH M AH0 N T +MISJUDGMENTS M IH0 S JH AH1 JH M AH0 N T S +MISKA M IH1 S K AH0 +MISKE M IH1 S K +MISKELL M IH1 S K AH0 L +MISKITO M IH0 S K IY1 T OW0 +MISKITOS M IH0 S K IY1 T OW0 S +MISKO M IH1 S K OW0 +MISLABEL M IH0 S L EY1 B AH0 L +MISLABELED M IH0 S L EY1 B AH0 L D +MISLABELING M IH0 S L EY1 B AH0 L IH0 NG +MISLABELING(2) M IH0 S L EY1 B L IH0 NG +MISLABELS M IH0 S L EY1 B AH0 L Z +MISLAID M IH0 S L EY1 D +MISLEAD M IH0 S L IY1 D +MISLEADING M IH0 S L IY1 D IH0 NG +MISLEADINGLY M IH0 S L IY1 D IH0 NG L IY0 +MISLEADS M IH0 S L IY1 D Z +MISLED M IH0 S L EH1 D +MISMANAGE M IH0 S M AE1 N IH0 JH +MISMANAGED M IH0 S M AE1 N IH0 JH D +MISMANAGEMENT M IH0 S M AE1 N IH0 JH M AH0 N T +MISMANAGES M IH0 S M AE1 N IH0 JH AH0 Z +MISMANAGING M IH0 S M AE1 N IH0 JH IH0 NG +MISMATCH M IH0 S M AE1 CH +MISMATCH(2) M IH1 S M AE2 CH +MISMATCHED M IH0 S M AE1 CH T +MISMATCHES M IH0 S M AE1 CH IH0 Z +MISNER M IH1 Z N ER0 +MISNOMER M IH0 S N OW1 M ER0 +MISOGYNE M IH1 Z AH0 JH IH0 N +MISOGYNIST M IH1 Z AH0 JH IH0 N IH0 S T +MISOGYNISTS M IH1 Z AH0 JH IH0 N IH0 S T S +MISOGYNISTS(2) M IH1 Z AH0 JH IH0 N IH0 S +MISOGYNY M IH1 Z AH0 JH IH0 N IY0 +MISPERCEIVE M IH0 S P ER0 S IY1 V +MISPERCEIVED M IH0 S P ER0 S IY1 V D +MISPERCEIVES M IH0 S P ER0 S IY1 V Z +MISPERCEPTION M IH2 S P ER0 S EH1 P SH AH0 N +MISPERCEPTIONS M IH0 S P ER0 S EH1 P SH AH0 N Z +MISPLACE M IH0 S P L EY1 S +MISPLACED M IH0 S P L EY1 S T +MISPLACES M IH0 S P L EY1 S IH0 Z +MISPLACING M IH0 S P L EY1 S IH0 NG +MISPRICE M IH0 S P R AY1 S +MISPRICED M IH0 S P R AY1 S T +MISPRICES M IH0 S P R AY1 S IH0 Z +MISPRICING M IH0 S P R AY1 S IH0 NG +MISPRINT M IH1 S P R IH1 N T +MISPRINTED M IH1 S P R IH1 N T AH0 D +MISPRINTS M IH1 S P R IH1 N T S +MISPRISION M IH0 S P R IH1 ZH AH0 N +MISPRONOUNCE M IH0 S P R AH0 N AW1 N S +MISPRONOUNCED M IH0 S P R AH0 N AW1 N S T +MISPRONOUNCES M IH0 S P R AH0 N AW1 N S IH0 Z +MISPRONOUNCING M IH0 S P R AH0 N AW1 N S IH0 NG +MISQUOTE M IH0 S K W OW1 T +MISQUOTED M IH0 S K W OW1 T IH0 D +MISQUOTES M IH0 S K W OW1 T S +MISQUOTING M IH0 S K W OW1 T IH0 NG +MISREAD M IH0 S R IY1 D +MISREAD(2) M IH0 S R EH1 D +MISREADING M IH0 S R IY1 D IH0 NG +MISRECOGNITION M IH0 S R EH2 K AH0 G N IH1 SH AH0 N +MISRECOGNIZE M IH0 S R EH1 K AH0 G N AY2 Z +MISRECOGNIZED M IH0 S R EH1 K AH0 G N AY2 Z D +MISRECOGNIZES M IH0 S R EH1 K AH0 G N AY2 Z IH0 Z +MISRECOGNIZING M IH0 S R EH1 K AH0 G N AY2 Z IH0 NG +MISREMEMBER M IH0 S R IY0 M EH1 M B ER0 +MISREMEMBERED M IH0 S R IY0 M EH1 M B ER0 D +MISREPORT M IH0 S R IH0 P AO1 R T +MISREPORTED M IH0 S R IH0 P AO1 R T IH0 D +MISREPRESENT M IH0 S R EH2 P R AH0 Z EH1 N T +MISREPRESENTATION M IH0 S R EH2 P R IH0 Z EH0 N T EY1 SH AH0 N +MISREPRESENTATIONS M IH0 S R EH2 P R IH0 Z EH0 N T EY1 SH AH0 N Z +MISREPRESENTED M IH2 S R EH0 P R IH0 Z EH1 N T IH0 D +MISREPRESENTED(2) M IH2 S R EH0 P R IH0 Z EH1 N IH0 D +MISREPRESENTING M IH0 S R EH2 P R AH0 Z EH1 N T IH0 NG +MISREPRESENTING(2) M IH0 S R EH2 P R AH0 Z EH1 N IH0 NG +MISREPRESENTS M IH0 S R EH2 P R AH0 Z EH1 N T S +MISREPRESENTS(2) M IH0 S R EH2 P R AH0 Z EH1 N S +MISRULE M IH0 S R UW1 L +MISS M IH1 S +MISSAL M IH1 S AH0 L +MISSED M IH1 S T +MISSEL M IH1 S AH0 L +MISSES M IH1 S AH0 Z +MISSES(2) M IH1 S IH0 Z +MISSETT M IH1 S AH0 T +MISSEY M IH1 S IY0 +MISSHAPEN M IH0 S SH EY1 P AH0 N +MISSHAPEN(2) M IH0 S HH AE1 P AH0 N +MISSIE M IH1 S IY0 +MISSILDINE M IH0 S IY0 L D IY1 N IY0 +MISSILDINE(2) M IH0 S IH0 L D AY1 N +MISSILE M IH1 S AH0 L +MISSILE'S M IH1 S AH0 L Z +MISSILES M IH1 S AH0 L Z +MISSILES' M IH1 S AH0 L Z +MISSIMER M IH1 S IH0 M ER0 +MISSING M IH1 S IH0 NG +MISSION M IH1 SH AH0 N +MISSION'S M IH1 SH AH0 N Z +MISSIONARIES M IH1 SH AH0 N EH2 R IY0 Z +MISSIONARY M IH1 SH AH0 N EH2 R IY0 +MISSIONS M IH1 SH AH0 N Z +MISSIS M IH1 S IH0 Z +MISSISSAUGA M IH2 S IH0 S AO1 G AH0 +MISSISSIPPI M IH2 S IH0 S IH1 P IY0 +MISSISSIPPI'S M IH2 S IH0 S IH1 P IY0 Z +MISSISSIPPIAN M IH2 S IH0 S IH1 P IY0 AH0 N +MISSISSIPPIANS M IH2 S IH0 S IH1 P IY0 AH0 N Z +MISSISSIPPIS M IH2 S IH0 S IH1 P IY0 Z +MISSIVE M IH1 S IH0 V +MISSLER M IH1 S L ER0 +MISSOULA M IH0 Z UW1 L AH0 +MISSOURI M AH0 Z UH1 R IY0 +MISSOURI(2) M AH0 Z ER1 AH0 +MISSOURI'S M AH0 Z UH1 R IY0 Z +MISSOURI'S(2) M AH0 Z ER1 AH0 Z +MISSOURIAN M AH0 Z UH1 R IY0 AH0 N +MISSOURIANS M AH0 Z UH1 R IY0 AH0 N Z +MISSPEAK M IH0 S S P IY1 K +MISSPEAK(2) M IH0 S P IY1 K +MISSPELL M IH0 S S P EH1 L +MISSPELL(2) M IH0 S P EH1 L +MISSPELLED M IH0 S S P EH1 L D +MISSPELLED(2) M IH0 S P EH1 L D +MISSPELLING M IH0 S S P EH1 L IH0 NG +MISSPELLING(2) M IH0 S P EH1 L IH0 NG +MISSPELLS M IH0 S S P EH1 L Z +MISSPELLS(2) M IH0 S P EH1 L Z +MISSPEND M IH0 S S P EH1 N D +MISSPEND(2) M IH0 S P EH1 N D +MISSPENDING M IH0 S S P EH1 N D IH0 NG +MISSPENDING(2) M IH0 S P EH1 N D IH0 NG +MISSPENT M IH0 S S P EH1 N T +MISSPENT(2) M IH0 S P EH1 N T +MISSPOKE M IH0 S S P OW1 K +MISSPOKE(2) M IH0 S P OW1 K +MISSPOKEN M IH0 S S P OW1 K AH0 N +MISSPOKEN(2) M IH0 S P OW1 K AH0 N +MISSTATE M IH0 S S T EY1 T +MISSTATE(2) M IH0 S T EY1 T +MISSTATED M IH0 S S T EY1 T IH0 D +MISSTATED(2) M IH0 S T EY1 T IH0 D +MISSTATEMENT M IH0 S T EY1 T M AH0 N T +MISSTATEMENTS M IH0 S T EY1 T M AH0 N T S +MISSTATEMENTS(2) M IH0 S T EY1 T M AH0 N S +MISSTATES M IH0 S S T EY1 T S +MISSTATES(2) M IH0 S T EY1 T S +MISSTATING M IH0 S S T EY1 T IH0 NG +MISSTATING(2) M IH0 S T EY1 T IH0 NG +MISSTEP M IH0 S S T EH1 P +MISSTEP(2) M IH0 S T EH1 P +MISSTEPS M IH0 S S T EH1 P S +MISSTEPS(2) M IH0 S T EH1 P S +MISSUS M IH1 S IH0 Z +MISSY M IH1 S IY0 +MISSY'S M IH1 S IY0 Z +MIST M IH1 S T +MISTAKE M IH0 S T EY1 K +MISTAKEN M IH0 S T EY1 K AH0 N +MISTAKENLY M IH0 S T EY1 K AH0 N L IY0 +MISTAKES M IH0 S T EY1 K S +MISTAKING M IH0 S T EY1 K IH0 NG +MISTER M IH1 S T ER0 +MISTERO M IH0 S T EH1 R OW0 +MISTERS M IH1 S T ER0 Z +MISTIC M IH1 S T IH0 K +MISTLER M IH1 S T L ER0 +MISTLETOE M IH1 S AH0 L T OW2 +MISTOOK M IH0 S T UH1 K +MISTRAL M IH1 S T R AH0 L +MISTREAT M IH0 S T R IY1 T +MISTREATED M IH0 S T R IY1 T IH0 D +MISTREATING M IH0 S T R IY1 T IH0 NG +MISTREATMENT M IH0 S T R IY1 T M AH0 N T +MISTREATS M IH0 S T R IY1 T S +MISTRESS M IH1 S T R AH0 S +MISTRESSES M IH1 S T R AH0 S AH0 Z +MISTRESSES(2) M IH1 S T R AH0 S IH0 Z +MISTRETTA M IH0 S T R EH1 T AH0 +MISTRIAL M IH0 S T R AY1 AH0 L +MISTRIAL(2) M IH1 S T R AY2 AH0 L +MISTRIALS M IH0 S T R AY1 AH0 L Z +MISTRIALS(2) M IH1 S T R AY2 AH0 L Z +MISTRUST M IH0 S T R AH1 S T +MISTRUSTED M IH0 S T R AH1 S T IH0 D +MISTRUSTFUL M IH0 S T R AH1 S T F AH0 L +MISTRUSTFUL(2) M IH0 S T R AH1 S F AH0 L +MISTRUSTING M IH0 S T R AH1 S T IH0 NG +MISTRUSTS M IH0 S T R AH1 S T S +MISTRUSTS(2) M IH0 S T R AH1 S +MISTRY M IH1 S T R IY0 +MISTRY(2) M IH0 S T R AY1 +MISTS M IH1 S T S +MISTY M IH1 S T IY0 +MISUNDER M IH0 S AH1 N D ER0 +MISUNDERSTAND M IH2 S AH0 N D ER0 S T AE1 N D +MISUNDERSTANDING M IH2 S AH0 N D ER0 S T AE1 N D IH0 NG +MISUNDERSTANDINGS M IH2 S AH0 N D ER0 S T AE1 N D IH0 NG Z +MISUNDERSTANDS M IH2 S AH0 N D ER0 S T AE1 N D Z +MISUNDERSTOOD M IH2 S AH0 N D ER0 S T UH1 D +MISURACA M IH0 S UH0 R AA1 K AH0 +MISUSE M IH0 S Y UW1 Z +MISUSE(2) M IH0 S Y UW1 S +MISUSED M IH0 S Y UW1 Z D +MISUSES M IH0 S Y UW1 Z IH0 Z +MISUSES(2) M IH0 S Y UW1 S IH0 Z +MISUSING M IH0 S Y UW1 Z IH0 NG +MIT EH1 M AY1 T IY1 +MIT(2) M IH1 T +MITA M IY1 T AH0 +MITAMURA M IY2 T AH0 M UH1 R AH0 +MITCH M IH1 CH +MITCHAM M IH1 CH AH0 M +MITCHEL M IH1 CH AH0 L +MITCHELL M IH1 CH AH0 L +MITCHELL'S M IH1 CH AH0 L Z +MITCHELSON M IH1 CH AH0 L S AH0 N +MITCHELTREE M IH0 CH IH0 L T R IY1 +MITCHEM M IH1 CH IH0 M +MITCHEN M IH1 CH AH0 N +MITCHENER M IH1 CH IY0 N ER0 +MITCHNER M IH1 CH N ER0 +MITCHUM M IH1 CH AH0 M +MITE M AY1 T +MITEK M AY1 T EH2 K +MITEL M AY1 T EH2 L +MITER M AY1 T ER0 +MITERING M AY1 T ER0 IH0 NG +MITES M AY1 T S +MITHCELL M IH1 TH S AH0 L +MITHRIDATE M IH1 TH R IH0 D EY2 T +MITHRIDATES M IH1 TH R IH0 D EY2 T S +MITHUN M IH1 TH AH0 N +MITI M IH1 T IY2 +MITI(2) M IY1 T IY2 +MITI(3) M IY1 T IY0 +MITIGATE M IH1 T AH0 G EY2 T +MITIGATED M IH1 T AH0 G EY2 T IH0 D +MITIGATES M IH1 T AH0 G EY2 T S +MITIGATING M IH1 T AH0 G EY2 T IH0 NG +MITIGATION M IH2 T IH0 G EY1 SH AH0 N +MITMAN M IH1 T M AH0 N +MITNICK M IH1 T N IH0 K +MITOCHONDRIA M AY2 T AH0 K AA1 N D R IY0 AH0 +MITOCHONDRIAL M AY2 T AH0 K AA1 N D R IY0 AH0 L +MITOCHONDRION M AY2 T AH0 K AA1 N D R IY0 AH0 N +MITOFSKY M IH0 T AO1 F S K IY0 +MITOTIC M AY2 T AO1 T IH0 K +MITRA M IH1 T R AH0 +MITRAL M AY1 T R AH0 L +MITRANO M IY0 T R AA1 N OW0 +MITRE M IH1 T R IY0 +MITRE(2) M AY1 T ER0 +MITRO M IH1 T R OW0 +MITROVICH M IH1 T R AH0 V IH0 CH +MITSCH M IH1 CH +MITSCHKE M IH1 CH K +MITSOTAKIS M IH2 T S OW0 T AA1 K IH0 S +MITSUBA M IY0 T S UW1 B AH0 +MITSUBISHI M IH2 T S UW2 B IY1 SH IY0 +MITSUBISHI'S M IH2 T S UW2 B IY1 SH IY0 Z +MITSUI M IY0 T S UW1 IY0 +MITSUI(2) M IH0 T S UW1 IY0 +MITSUI'S M IY0 T S UW1 IY0 Z +MITSUKOSHI M IY2 T S UW2 K 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IH0 Z UW1 N OW0 +MIZZELL M IH1 Z AH0 L +MJ'S EH1 M JH EY1 Z +MKHATSHWA M AH0 K AE1 CH W AH0 +MLADENIC M L AA2 D EH1 N IH0 CH +MLADIC M L AA1 D IH0 CH +MLADIC'S M L AA1 D IH0 CH IH0 Z +MLECKO M L EH1 K OW0 +MLECKO(2) M AH0 L EH1 K OW0 +MLOTOK M L OW1 T AA2 K +MLOTOK(2) M AH0 L AA1 T AA2 K +MM M +MMABATHO M AH0 B AA1 TH OW0 +MME EH1 M EH1 M IY1 +MNEMONIC N IH0 M AA1 N IH0 K +MNEMONIC(2) N IY0 M AA1 N IH0 K +MNEMONICS N IH0 M AA1 N IH0 K S +MNEMONICS(2) N IY0 M AA1 N IH0 K S +MNOOKIN M N UH1 K AH0 N +MNOOKIN(2) M AH0 N UH1 K AH0 N +MO M OW1 +MOAB M OW1 AE0 B +MOACQ M OW1 K +MOAD M OW1 D +MOAK M OW1 K +MOAKLEY M OW1 K L IY0 +MOAMI M OW1 M IY0 +MOAMMAR M OW1 AH0 M AA2 R +MOAN M OW1 N +MOANED M OW1 N D +MOANING M OW1 N IH0 NG +MOANS M OW1 N Z +MOAT M OW1 T +MOATES M OW1 EY2 T S +MOATS M OW1 T S +MOAWIYA M OW0 AA1 W IY0 AH0 +MOB M AA1 B +MOB'S M AA1 B Z +MOBAY M OW0 B EY1 +MOBBED M AA1 B D +MOBBS M AA1 B Z +MOBE M OW1 B +MOBERG M OW1 B ER0 G +MOBERLY M OW1 B ER0 L IY0 +MOBIL M OW1 B AH0 L 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CH EH1 R IY0 +MOCH M AA1 K +MOCHA M OW1 K AH0 +MOCHAS M OW1 K AH0 Z +MOCHEL M AA1 K AH0 L +MOCHIDA M AH0 CH IY1 D AH0 +MOCHIZUKI M OW0 CH IY0 Z UW1 K IY0 +MOCK M AA1 K +MOCK-HEROICALLY M AA1 K HH ER0 OW1 IH0 K L IY0 +MOCKBY M AA1 K B IY0 +MOCKED M AA1 K T +MOCKERY M AA1 K ER0 IY0 +MOCKING M AA1 K IH0 NG +MOCKINGBIRD M AA1 K IH0 NG B ER2 D +MOCKLER M AA1 K L ER0 +MOCKS M AA1 K S +MOCZYGEMBA M AH0 CH IH0 G EH1 M B AH0 +MOD M AO1 D +MODAL M OW1 D AH0 L +MODALISM M OW1 D AH0 L IH0 Z AH0 M +MODALITIES M AH0 D AE1 L AH0 T IY0 Z +MODALITY M AH0 D AE1 L AH0 T IY0 +MODARRESSI M OW0 D AA2 R EH1 S IY0 +MODE M OW1 D +MODED M OW1 D IH0 D +MODEL M AA1 D AH0 L +MODEL'S M AA1 D AH0 L Z +MODELED M AA1 D AH0 L D +MODELING M AA1 D AH0 L IH2 NG +MODELING(2) M AA1 D L IH0 NG +MODELL M OW0 D EY1 L +MODELLING M AA1 D AH0 L IH2 NG +MODELO M OW0 D EH1 L OW0 +MODELS M AA1 D AH0 L Z +MODELS' M AA1 D AH0 L Z +MODEM M OW1 D AH0 M +MODEMS M OW1 D AH0 M Z +MODEN M OW1 D AH0 N +MODENA M OW0 D EH1 N AH0 +MODER M OW1 D 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S T AH0 +NASTASI N AA0 S T AA1 S IY0 +NASTIER N AE1 S T IY0 ER0 +NASTIEST N AE1 S T IY0 AH0 S T +NASTINESS N AE1 S T IY0 N AH0 S +NASTY N AE1 S T IY0 +NASWORTHY N AE1 S W ER0 DH IY0 +NAT N AE1 T +NATA N AA1 T AH0 +NATAL N EY1 T AH0 L +NATAL(2) N AH0 T AA1 L +NATALA N AA0 T AA1 L AH0 +NATALE N AA0 T AA1 L IY0 +NATALI N AA0 T AA1 L IY0 +NATALIA N AH0 T AA1 L Y AH0 +NATALIE N AE1 T AH0 L IY0 +NATALLE N AH0 T AA1 L EY0 +NATALLE'S N AH0 T AA1 L EY0 Z +NATAN N EY1 T AH0 N +NATASHA N AH0 T AA1 SH AH0 +NATASHA(2) N AH0 T AE1 SH AH0 +NATASHA'S N AH0 T AA1 SH AH0 Z +NATASHA'S(2) N AH0 T AE1 SH AH0 Z +NATCHER N AE1 CH ER0 +NATCHEZ N AE1 CH EH2 Z +NATCHEZ' N AE1 CH EH2 Z +NATCHEZ'S N AE1 CH EH2 Z IH0 Z +NATCHITOCHES N AE0 K AH0 T AO1 SH +NATE N EY1 T +NATE'S N EY1 T S +NATEC'S N EY1 T EH2 K S +NATH N AE1 TH +NATHALIA N AH0 TH AE1 L IY0 AH0 +NATHALIE N AE1 T AH0 L IY0 +NATHAN N EY1 TH AH0 N +NATHAN'S N EY1 TH AH0 N Z +NATHANAEL N AE1 TH AH0 N EY2 L +NATHANIA N AH0 TH AE1 N IY0 AH0 +NATHANIEL N AH0 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AA0 N Z +NEGENT N EH1 G AH0 N T +NEGENT(2) N EH1 JH AH0 N T +NEGEV N EH1 G EH2 V +NEGLECT N AH0 G L EH1 K T +NEGLECT(2) N IH0 G L EH1 K T +NEGLECTED N AH0 G L EH1 K T AH0 D +NEGLECTED(2) N IH0 G L EH1 K T IH0 D +NEGLECTFUL N IH0 G L EH1 K T F AH0 L +NEGLECTING N IH0 G L EH1 K T IH0 NG +NEGLECTS N IH0 G L EH1 K T S +NEGLEY N EH1 G L IY0 +NEGLIA N EH1 G L IY0 AH0 +NEGLIGENCE N EH1 G L AH0 JH AH0 N S +NEGLIGENCE(2) N EH1 G L IH0 JH AH0 N S +NEGLIGENT N EH1 G L AH0 JH AH0 N T +NEGLIGENT(2) N EH1 G L IH0 JH AH0 N T +NEGLIGENTLY N EH1 G L IH0 JH AH0 N T L IY0 +NEGLIGIBLE N EH1 G L AH0 JH AH0 B AH0 L +NEGLIGIBLE(2) N EH1 G L IH0 JH AH0 B AH0 L +NEGOTIABLE N AH0 G OW1 SH AH0 B AH0 L +NEGOTIATE N AH0 G OW1 SH IY0 EY2 T +NEGOTIATE(2) N IH0 G OW1 SH IY0 EY2 T +NEGOTIATED N AH0 G OW1 SH IY0 EY2 T AH0 D +NEGOTIATED(2) N IH0 G OW1 SH IY0 EY2 T IH0 D +NEGOTIATES N IH0 G OW1 SH IY0 EY2 T S +NEGOTIATING N IH0 G OW1 SH IY0 EY2 T IH0 NG +NEGOTIATION N IH0 G OW2 SH IY0 EY1 SH AH0 N +NEGOTIATIONS N AH0 G OW2 SH IY0 EY1 SH AH0 N Z +NEGOTIATIONS(2) N IH0 G OW2 SH IY0 EY1 SH AH0 N Z +NEGOTIATOR N AH0 G OW1 SH IY0 EY2 T ER0 +NEGOTIATOR(2) N IH0 G OW1 SH IY0 EY2 T ER0 +NEGOTIATOR'S N IH0 G OW1 SH IY0 EY2 T ER0 Z +NEGOTIATORS N IH0 G OW1 SH IY0 EY2 T ER0 Z +NEGOTIATORS' N AH0 G OW1 SH IY0 EY2 T ER0 Z +NEGRETE N EH1 G R IY2 T +NEGRI N EH1 G R IY0 +NEGRIN N EH1 G R IH0 N +NEGRO N IY1 G R OW0 +NEGROES N IY1 G R OW0 Z +NEGROID N IY1 G R OY0 D +NEGRON N EH1 G R AH0 N +NEGRONI N EH2 G R OW1 N IY0 +NEGROPALPUS N EH2 G R AH0 P AA1 L P AH0 S +NEGROS N IY1 G R OW0 Z +NEGS N EH1 G Z +NEGU N EH1 G UW0 +NEGUS N IY1 G AH0 S +NEHEMIAH N IY2 AH0 M AY1 AH0 +NEHER N EY1 ER0 +NEHLS N EH1 L Z +NEHRING N EH1 R IH0 NG +NEHRU N EY1 R UW2 +NEIBAUER N AY1 B AW0 ER0 +NEIBERG N AY1 B ER0 G +NEIBERT N IY1 B ER0 T +NEICE N IY1 S +NEIDER N IY1 D ER0 +NEIDHARDT N AY1 D HH AA0 R T +NEIDHART N AY1 D HH AA0 R T +NEIDIGH N IY1 D AY2 +NEIDL N IY1 D AH0 L +NEIDLINGER N AY1 D AH0 L IH0 NG ER0 +NEIDLINGER(2) N IY1 D L IH0 NG ER0 +NEIER N AY1 ER0 +NEIFERT N IY1 F ER0 T +NEIGER N AY1 G ER0 +NEIGH N EY1 +NEIGHBOR N EY1 B ER0 +NEIGHBOR'S N EY1 B ER0 Z +NEIGHBORHOOD N EY1 B ER0 HH UH2 D +NEIGHBORHOOD'S N EY1 B ER0 HH UH2 D Z +NEIGHBORHOODS N EY1 B ER0 HH UH2 D Z +NEIGHBORING N EY1 B ER0 IH0 NG +NEIGHBORLY N EY1 B ER0 L IY0 +NEIGHBORS N EY1 B ER0 Z +NEIGHBORS' N EY1 B ER0 Z +NEIGHBOUR N EY1 B ER0 +NEIGHBOUR'S N EY1 B ER0 Z +NEIGHBOURHOOD N EY1 B ER0 HH UH2 D +NEIGHBOURHOOD'S N EY1 B ER0 HH UH2 D Z +NEIGHBOURHOODS N EY1 B ER0 HH UH2 D Z +NEIGHBOURING N EY1 B ER0 IH0 NG +NEIGHBOURLY N EY1 B ER0 L IY0 +NEIGHBOURS N EY1 B ER0 Z +NEIGHBOURS' N EY1 B ER0 Z +NEIGHMOND N EY1 M AH0 N D +NEIGHMOND'S N EY1 M AH0 N D Z +NEIKIRK N IY1 K ER0 K +NEIL N IY1 L +NEIL'S N IY1 L Z +NEILAN N IY1 L AH0 N +NEILD N IY1 L D +NEILE N IY1 L +NEILL N IY1 L +NEILS N IY1 L Z +NEILSEN N AY1 L S AH0 N +NEILSON N IY1 L S AH0 N +NEIMAN N IY1 M AH0 N +NEIMEYER N AY1 M AY0 ER0 +NEIN N IY1 N +NEIRA N EH1 R AH0 +NEIS N IY1 Z +NEISEN N AY1 S AH0 N 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SH AH0 L +NON-RECURRING N AA0 N R IH0 K ER1 IH0 NG +NON-REFUNDABLE N AA0 N R IH0 F AH1 N D AH0 B AH0 L +NON-REGULATED N AA0 N R EH1 G Y AH0 L EY2 T IH0 D +NON-RELIGIOUS N AA2 N R IH0 L IH1 JH AH0 S +NON-RENEWABLE N AA0 N R IY0 N UW1 AH0 B AH0 L +NON-RESIDENT N AA0 N R EH1 Z AH0 D AH0 N T +NON-RESIDENTIAL N AA2 N R EH2 Z AH0 D EH1 N SH AH0 L +NON-RESIDENTS N AA0 N R EH1 Z AH0 D AH0 N T S +NON-RESPONSIVE N AA0 N R IH0 S P AA1 N S IH0 V +NON-RESTRICTED N AA0 N R IH2 S T R IH1 K T IH0 D +NON-RESTRICTED(2) N AA0 N R IY2 S T R IH1 K T IH0 D +NON-ROMAN N AA0 N R OW1 M AH0 N +NON-RULING N AA0 N R UW1 L IH0 NG +NON-SECTARIAN N AA2 N S EH0 K T EH1 R IY0 AH0 N +NON-SENSE N AA1 N S EH0 N S +NON-SEQUITOR N AA1 N S EH1 K W IH0 T ER0 +NON-SEQUITORS N AA1 N S EH1 K W IH0 T ER0 Z +NON-SEQUITUR N AA1 N S EH1 K W IH0 T ER0 +NON-SEQUITURS N AA1 N S EH1 K W IH0 T ER0 Z +NON-SMOKER N AA0 N S M OW1 K ER0 +NON-SMOKERS N AA0 N S M OW1 K ER0 Z +NON-SMOKERS' N AA1 N S M OW1 K ER0 Z +NON-SMOKING N AA0 N S M OW1 K IH0 NG +NON-SPECIFIC N AA2 N S P AH0 S IH1 F IH0 K +NON-SPORTING N AA0 N S P AO1 R T IH0 NG +NON-STANDARD N AA0 N S T AE1 N D ER0 D +NON-STARTER N AA0 N S T AA1 R T ER0 +NON-STARTERS N AA0 N S T AA1 R T ER0 Z +NON-STICK N AA0 N S T IH1 K +NON-STOP N AA2 N S T AA1 P +NON-STOPS N AA2 N S T AA1 P S +NON-STRATEGIC N AA0 N S T R AH0 T IY1 JH IH0 K +NON-SUPERVISORY N AA0 N S UW2 P ER0 V AY1 Z ER0 IY0 +NON-SURGICAL N AA0 N S ER1 JH IH0 K AH0 L +NON-TAXABLE N AA0 N T AE1 K S AH0 B AH0 L +NON-TECHNICAL N AA0 N T EH1 K N IH0 K AH0 L +NON-TOXIC N AA0 N T AA1 K S IH0 K +NON-TRADITIONAL N AA2 N T R AH0 D IH1 SH AH0 N AH0 L +NON-TRANSFERABLE N AA2 N T R AE2 N S F ER1 AH0 B AH0 L +NON-TURBO N AO0 N T ER1 B OW0 +NON-TURBOS N AO0 N T ER1 B OW0 Z +NON-UNION N AA0 N Y UW1 N Y AH0 N +NON-UNIONIZED N AA0 N Y UW1 N Y AH0 N AY2 Z D +NON-UTILITY N AA2 N Y UW0 T IH1 L IH0 T IY0 +NON-VERBAL N AA0 N V ER1 B AH0 L +NON-VIOLENCE N AA0 N V AY1 AH0 L AH0 N S +NON-VIOLENT N AA0 N V AY1 AH0 L AH0 N T +NON-VOLATILE N AA0 N V AA1 L AH0 T AH0 L +NON-VOTING N AA0 N V OW1 T IH0 NG +NON-WHITE N AA1 N W AY1 T +NON-WHITE(2) N AA1 N HH W AY1 T +NON-WHITES N AA1 N W AY1 T S +NON-WHITES(2) N AA1 N HH W AY1 T S +NON-WOVEN N AA1 N W OW1 V IH0 N +NON-WOVENS N AA1 N W OW1 V AH0 N Z +NON-ZERO N AA0 N Z IY1 R OW0 +NON-ZERO-SUM N AA0 N Z IY1 R OW0 S AH2 M +NONA N AA1 N AA0 +NONACADEMIC N AA0 N AE2 K AH0 D EH1 M IH0 K +NONACCRUAL N AA2 N AH0 K R UW1 AH0 L +NONACCRUING N AA2 N AH0 K R UW1 IH0 NG +NONAGGRESSION N AA2 N AH0 G R EH1 SH AH0 N +NONAGRICULTURAL N AA2 N AE2 G R IH0 K AH1 L CH ER0 AH0 L +NONALCOHOLIC N AA2 N AE2 L K AH0 HH AA1 L IH0 K +NONALIGN N AA1 N AH0 L AY2 N +NONALIGNED N AA1 N AH0 L AY2 N D +NONAUTOMOTIVE N AA2 N AO2 T OW0 M OW1 T IH0 V +NONBANK N AA1 N B AE1 NG K +NONBANKING N AA1 N B AE1 NG K IH0 NG +NONBELIEVER N AA2 N B AH0 L IY1 V ER0 +NONBELIEVERS N AA2 N B AH0 L IY1 V ER0 Z +NONBINDING N AA1 N B AY1 N D IH0 NG +NONBITING N AA0 N B AY1 T IH0 NG +NONBUILDING N AA1 N B IH1 L D IH0 NG +NONBUSINESS N AA1 N B IH1 Z N AH0 S +NONCALLABLE N AA0 N K AO1 L AH0 B AH0 L +NONCASH N AA1 N K AE1 SH +NONCE N AA1 N S +NONCHALANCE N AA1 N SH AH0 L AA1 N S +NONCHALANT N AA2 N SH AH0 L AA1 N T +NONCHALANTLY N AA1 N SH AH0 L AA1 N T L IY0 +NONCOLOR N AA0 N K AH1 L ER0 +NONCOMBATANT N AA2 N K AH0 M B AE1 T AH0 N T +NONCOMBATANTS N AA2 N K AH0 M B AE1 T AH0 N T S +NONCOMMERCIAL N AA1 N K AH0 M ER1 SH AH0 L +NONCOMMITTAL N AA1 N K AH0 M IH1 T AH0 L +NONCOMMUNIST N AA1 N K AA1 M Y UW0 N IH0 S T +NONCOMMUNISTS N AA1 N K AA1 M Y UW0 N IH0 S T S +NONCOMPETE N AA0 N K AH0 M P IY1 T +NONCOMPETITIVE N AA2 N K AH0 M P EH1 T AH0 T IH0 V +NONCOMPLIANCE N AA2 N K AH0 M P L AY1 AH0 N S +NONCONFORMIST N AA2 N K AH0 N F AO1 R M IH0 S T +NONCONFORMISTS N AA2 N K AH0 N F AO1 R M AH0 S T S +NONCONFORMITY N AA2 N K AH0 N F AO1 R M AH0 T IY0 +NONCONTRACT N AA0 N K AA1 N T R AE2 K T +NONCONTROVERSIAL N AA0 N K AA2 N T R AH0 V ER1 SH AH0 L +NONCONVERTIBLE N AA0 N K AH0 N V ER1 T AH0 B AH0 L +NONCORE N AA1 N K AO1 R +NONCORPORATE N AA0 N K AO1 R P R AH0 T +NONCRIMINAL N AA0 N K R IH1 M IH0 N AH0 L +NONCUMULATIVE N AA0 N K Y UW1 M Y AH0 L AH0 T IH0 V +NONDEDUCTIBLE N AA0 N D IH0 D AH1 K T IH0 B AH0 L +NONDEFENSE N AA0 N D IH0 F EH1 N S +NONDESCRIPT N AA1 N D IH0 S K R IH1 P T +NONDIRECT N AA1 N D ER0 EH1 K T +NONDISCRIMINATE N AA0 N D IH2 S K R IH1 M AH0 N AH0 T +NONDISCRIMINATION N AA0 N D IH2 S K R IH0 M IH0 N EY1 SH AH0 N +NONDISCRIMINATORY N AA1 N D IH0 S K R IH1 M AH0 N AH0 T AO2 R IY0 +NONDOLLAR N AA1 N D AA1 L ER0 +NONDURABLE N AA0 N D UH1 R AH0 B AH0 L +NONDURABLES N AA0 N D UH1 R AH0 B AH0 L Z +NONE N AH1 N +NONECONOMIC N AA2 N EH2 K AH0 N AA1 M IH0 K +NONELECTRICAL N AA0 N IH0 L EH1 K T R IH0 K AH0 L +NONEMERGENCY N AA2 N IH0 M ER1 JH AH0 N S IY0 +NONENTITY N AA0 N EH1 N T AH0 T IY0 +NONESSENTIAL N AA2 N IH0 S EH1 N SH AH0 L +NONESUCH N AH1 N S AH1 CH +NONETHELESS N AH2 N DH AH0 L EH1 S +NONEVENT N AA1 N IH0 V EH1 N T +NONEXCLUSIVE N AA2 N IH0 K S K L UW1 S IH0 V +NONEXECUTIVE N AA1 N IH0 G Z EH1 K Y AH0 T IH0 V +NONEXISTENT N AA2 N AH0 G Z IH1 S T AH0 N T +NONFARM N AA1 N F AA1 R M +NONFAT N AA1 N F AE1 T +NONFATAL N AA1 N F EY1 T AH0 L +NONFERROUS N AA0 N F EH1 R AH0 S +NONFICTION N AA0 N F IH1 K SH AH0 N +NONFINANCIAL N AA0 N F AH0 N AE1 N SH AH0 L +NONFINANCIAL(2) N AA0 N F AY0 N AE1 N SH AH0 L +NONFOOD N AA1 N F UW1 D +NONGOVERNMENT N AA0 N G AH1 V ER0 N M AH0 N T +NONGOVERNMENTAL N AA0 N G AH2 V ER0 N M EH1 N T AH0 L +NONGREEK N AA2 N G R IY1 K +NONHUMAN N AA0 N HH Y UW1 M AH0 N +NONIE N AA1 N IY0 +NONINFLATIONARY N AA2 N IH0 N F L EY1 SH AH0 N EH2 R IY0 +NONINTEREST N AA0 N IH1 N T R AH0 S T +NONINTERFERENCE N AA2 N IH2 N T ER0 F IH1 R AH0 N S +NONINTERVENTION N AA2 N IH2 N T ER0 V EH1 N SH AH0 N +NONJET N AA1 N JH EH1 T +NONJETS N AA1 N JH EH1 T S +NONLETHAL N AA0 N L IY1 TH AH0 L +NONLINEAR N AA0 N L IH1 N IY2 ER0 +NONLITURGICAL N AA0 N L AH0 T ER1 JH IH0 K AH0 L +NONMANAGEMENT N AA0 N M AE1 N IH0 JH M AH0 N T +NONMANUFACTURING N AA2 N M AE2 N Y AH0 F AE1 K CH ER0 IH0 NG +NONMEMBER N AA0 N M EH1 M B ER0 +NONMEMBERS N AA0 N M EH1 M B ER0 Z +NONMILITARY N AA0 N M IH1 L AH0 T EH2 R IY0 +NONNATIVE N AA1 N EY1 T IH0 V +NONNATIVES N AA1 N EY1 T IH0 V Z +NONNEGOTIABLE N AA2 N AH0 G OW1 SH AH0 B AH0 L +NONNEMACHER N AA1 N IH0 M AH0 K ER0 +NONNUCLEAR N AA1 N UW1 K L IY2 ER0 +NONOPERATING N AA1 N AO1 P ER0 EY2 T IH0 NG +NONPACIFIST N AA2 N P AE1 S IH0 F IH0 S T +NONPACIFISTS N AA2 N P AE1 S IH0 F IH0 S T S +NONPARTISAN N AA0 N P AA1 R T AH0 Z AH0 N +NONPAYING N AA0 N P EY1 IH0 NG +NONPAYMENT N AA0 N P EY1 M AH0 N T +NONPERFORMING N AA0 N P ER0 F AO1 R M IH0 NG +NONPLANAR N AA0 N P L EY1 N ER0 +NONPLUSS N AA0 N P L AH1 S +NONPLUSSED N AA0 N P L AH1 S T +NONPOISONOUS N AA0 N P OY1 Z AH0 N AH0 S +NONPOLITICAL N AA2 N P AH0 L IH1 T IH0 K AH0 L +NONPRESCRIPTION N AA2 N P R AH0 S K R IH1 P SH AH0 N +NONPRODUCTIVE N AA2 N P R AH0 D AH1 K T IH0 V +NONPROFESSIONAL N AA2 N P R AH0 F EH1 SH AH0 N AH0 L +NONPROFESSIONALS N AA0 N P R AH0 F EH1 SH AH0 N AH0 L Z +NONPROFIT N AA0 N P R AA1 F AH0 T +NONPROFITS N AA1 N P R AA1 F IH0 T S +NONPROLIFERATION N AA0 N P R AH0 L IH2 F ER0 EY1 SH AH0 N +NONPUBLIC N AA0 N P AH1 B L IH0 K +NONQUALIFIED N AA0 N K W AA1 L AH0 F AY2 D +NONRACIAL N AA0 N R EY1 SH AH0 L +NONRECURRING N AA0 N R IH0 K ER1 IH0 NG +NONREFUNDABLE N AA0 N R IH0 F AH1 N D AH0 B AH0 L +NONREGULATED N AA0 N R EH1 G Y AH0 L EY2 T IH0 D +NONRELIGIOUS N AA2 N R IH0 L IH1 JH AH0 S +NONRENEWABLE N AA0 N R IY0 N UW1 AH0 B AH0 L +NONRESIDENT N AA0 N R EH1 Z AH0 D AH0 N T +NONRESIDENTIAL N AA2 N R EH2 Z AH0 D EH1 N SH AH0 L +NONRESIDENTS N AA0 N R EH1 Z AH0 D AH0 N T S +NONRESPONSIVE N AA0 N R IH0 S P AA1 N S IH0 V +NONRESTRICTED N AA0 N R IH0 S T R IH1 K T IH0 D +NONRESTRICTED(2) N AA0 N R IY0 S T R IH1 K T IH0 D +NONROMAN N AA0 N R OW1 M AH0 N +NONRULING N AA0 N R UW1 L IH0 NG +NONSECTARIAN N AA2 N S EH0 K T EH1 R IY0 AH0 N +NONSENSE N AA1 N S EH0 N S +NONSENSICAL N AA0 N S EH1 N S IH0 K AH0 L +NONSMOKER N AA0 N S M OW1 K ER0 +NONSMOKERS N AA0 N S M OW1 K ER0 Z +NONSMOKERS' N AA1 N S M OW1 K ER0 Z +NONSMOKING N AA1 N S M OW1 K IH0 NG +NONSPECIFIC N AA2 N S P AH0 S IH1 F IH0 K +NONSPORTING N AA0 N S P AO1 R T IH0 NG +NONSTANDARD N AA0 N S T AE1 N D ER0 D +NONSTARTER N AA0 N S T AA1 R T ER0 +NONSTARTERS N AA0 N S T AA1 R T ER0 Z +NONSTICK N AA0 N S T IH1 K +NONSTOP N AA2 N S T AA1 P +NONSTOPS N AA2 N S T AA1 P S +NONSTRATEGIC N AA0 N S T R AH0 T IY1 JH IH0 K +NONSURGICAL N AA0 N S ER1 JH IH0 K AH0 L +NONTAXABLE N AA0 N T AE1 K S AH0 B AH0 L +NONTECHNICAL N AA0 N T EH1 K N IH0 K AH0 L +NONTOXIC N AA0 N T AA1 K S IH0 K +NONTRADITIONAL N AA2 N T R AH0 D IH1 SH AH0 N AH0 L +NONTRANSFERABLE N AA2 N T R AE2 N S F ER1 AH0 B AH0 L +NONTURBO N AO0 N T ER1 B OW0 +NONTURBOS N AO0 N T ER1 B OW0 Z +NONUNION N AA0 N Y UW1 N Y AH0 N +NONUNIONIZED N AA0 N Y UW1 N Y AH0 N AY2 Z D +NONUTILITY N AA2 N Y UW0 T IH1 L IH0 T IY0 +NONVERBAL N AA0 N V ER1 B AH0 L +NONVIOLENCE N AA0 N V AY1 AH0 L AH0 N S +NONVIOLENT N AA0 N V AY1 AH0 L AH0 N T +NONVOLATILE N AA0 N V AA1 L AH0 T AH0 L +NONVOTING N AA0 N V OW1 T IH0 NG +NONWHITE N AA1 N W AY1 T +NONWHITE(2) N AA1 N HH W AY1 T +NONWHITES N AA1 N W AY1 T S +NONWHITES(2) N AA1 N HH W AY1 T S +NONWOVEN N AA1 N W OW1 V IH0 N +NONWOVENS N AA1 N W OW1 V AH0 N Z +NOODLE N UW1 D AH0 L +NOODLES N UW1 D AH0 L Z +NOOK N UH1 K +NOOKS N UH1 K S +NOON N UW1 N +NOONAN N UW1 N AH0 N +NOONE N UW1 N +NOONEY N UW1 N IY0 +NOONS N UW1 N Z +NOONTIME N UW1 N T AY2 M +NOORDA N UH1 R D AH0 +NOOSE N UW1 S +NOPE N OW1 P +NOR N AO1 R +NORA N AO1 R AH0 +NORA'S N AO1 R AH0 Z +NORAH N AO1 R AH0 +NORAMCO N AO0 R AE1 M K OW0 +NORANDA N AO0 R AE1 N D AH0 +NORANDA'S N AO0 R AE1 N D AH0 Z +NORBA N AO1 R B AH0 +NORBECK N AO1 R B EH0 K +NORBERG N AO1 R B ER0 G +NORBERT N AO1 R B ER0 T +NORBERTA N AO0 R B EH1 R T AH0 +NORBERTO N AO0 R B ER1 T OW2 +NORBURY N AO1 R B EH0 R IY0 +NORBY N AO1 R B IY0 +NORCEN N AO1 R S AH0 N +NORCEN'S N AO1 R S AH0 N Z +NORCIA N AO1 R CH AH0 +NORCO N AO1 R K OW0 +NORCROSS N AO1 R K R AO0 S +NORD N AO1 R D +NORDAHL N AO1 R D AA0 L +NORDAN N AO1 R D AH0 N +NORDBANKEN N AO1 R D B AE2 NG K AH0 N +NORDBERG N AO1 R D B ER0 G +NORDBY N AO1 R D B IY0 +NORDEEN N ER0 D IY1 N +NORDELL N AO1 R D AH0 L +NORDEN N AO1 R D AH0 N +NORDER N AO1 R D ER0 +NORDGREN N AO1 R D G R EH0 N +NORDIC N AO1 R D IH0 K +NORDICA N AO1 R D IH0 K AH0 +NORDICTRACK N AO1 R D IH0 K T R AE2 K +NORDIN N AO1 R D IH0 N +NORDINE N AO0 R D IY1 N IY0 +NORDIO N AO1 R D IY0 OW0 +NORDISK N AO1 R D IH2 S K +NORDLING N AO1 R D AH0 L IH0 NG +NORDLING(2) N AO1 R D L IH0 NG +NORDLUND N AO1 R D L AH0 N D +NORDMAN N AO1 R D M AH0 N +NORDMANN N AO1 R D M AH0 N +NORDMEYER N AO1 R D M AY0 ER0 +NORDQUIST N AO1 R D K W IH0 S T +NORDSON N AO1 R D S AH0 N +NORDSTROM N AO1 R D S T R AH0 M +NORDSTROM'S N AO1 R D S T R AH0 M Z +NORDSTROMS N AO1 R D S T R AH0 M Z +NORDYKE N AO1 R D AY2 K +NORECO N AO0 R EH1 K OW0 +NORED N AO1 R D +NOREEN N ER0 IY1 N +NOREIGA N AO0 R EY1 G AH0 +NORELCO N ER0 EH1 L K OW0 +NORELL N AO1 R AH0 L +NOREM N AO1 R IH0 M +NOREN N AO1 R AH0 N +NORENBERG N AO1 R AH0 N B ER0 G +NORENCO N AO1 R AH0 N K OW0 +NORENKO N AH0 R EH1 N K OW0 +NOREX N AO1 R AH0 K S +NORFLEET N AO1 R F L IY2 T +NORFOLK N AO1 R F AH0 K +NORFOLK'S N AO1 R F AH0 K S +NORGAARD N AO1 R G AA0 R D +NORGARD N AO1 R G ER0 D +NORGE N AO1 R JH +NORGREN N AO1 R G R AH0 N +NORICK N AO1 R IH0 K +NORIEGA N AO2 R IY0 EY1 G AH0 +NORIEGA'S N AO2 R IY0 EY1 G AH0 Z +NORIEGAS N AO2 R IY0 EY1 G AH0 S +NORIKO N AO2 R IY1 K OW2 +NORILSK N AO2 R IH1 L S K +NORIMATSU N AO2 R IY0 M AA1 T S UW0 +NORINCHUKIN N AO2 R IH0 N CH UW1 K IH0 N +NORINKO N AO2 R IH1 NG K OW0 +NORITA N AH0 R IY1 T AH0 +NORK N AO1 R K +NORKUS N AO1 R K IH0 S +NORLAND N AO1 R L AH0 N D +NORLANDER N AO1 R L AH0 N D ER0 +NORLIN N AO1 R L IH0 N +NORLING N AO1 R L IH0 NG +NORM N AO1 R M +NORMA N AO1 R M AH0 +NORMA-JEAN N AO2 R M AH0 JH IY1 N +NORMAL N AO1 R M AH0 L +NORMALCY N AO1 R M AH0 L S IY0 +NORMALITY N AO2 R M AE1 L AH0 T IY0 +NORMALIZATION N AO2 R M AH0 L IH0 Z EY1 SH AH0 N +NORMALIZE N AO1 R M AH0 L AY2 Z +NORMALIZED N AO1 R M AH0 L AY2 Z D +NORMALIZES N AO1 R M AH0 L AY2 Z IH0 Z +NORMALIZING N AO1 R M AH0 L AY2 Z IH0 NG +NORMALLY N AO1 R M AH0 L IY0 +NORMALLY(2) N AO1 R M L IY0 +NORMAN N AO1 R M AH0 N +NORMAN'S N AO1 R M AH0 N Z +NORMAND N AO1 R M AH0 N D +NORMANDIE N AO1 R M AH0 N D IY0 +NORMANDIN N AO1 R M AH0 N D IH0 N +NORMANDY N AO1 R M AH0 N D IY0 +NORMATIVE N AO1 R M AH0 T IH0 V +NORMCORE N AO1 R M K AO2 R +NORMENT N AO1 R M AH0 N T +NORMICK N AO1 R M IH0 K +NORMIE N AO1 R M IY0 +NORMILE N AO1 R M AY0 L +NORMING N AO1 R M IH0 NG +NORMINGTON N AO1 R M IH0 NG T AH0 N +NORMOYLE N AO1 R M OY0 L +NORMS N AO1 R M Z +NORMY N AO1 R M IY0 +NORNA N AO1 R N AH0 +NORODOM N AO1 R OW0 D AH2 M +NORODOM(2) N AO1 R AH0 D AH2 M +NORPLANT N AO1 R P L AE2 N T +NORPLANT'S N AO1 R P L AE2 N T S +NORQUIST N AO1 R K W IH0 S T +NORRED N AO1 R D +NORRELL N AO1 R AH0 L +NORRIE N AO1 R IY0 +NORRINGTON N AO1 R IH0 NG T AH0 N +NORRIS N AO1 R IH0 S +NORRIS'S N AO1 R AH0 S 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AH0 N +PALESTINIAN'S P AE2 L IH0 S T IH1 N IY0 AH0 N Z +PALESTINIANS P AE2 L IH0 S T IH1 N IY0 AH0 N Z +PALESTINIANS' P AE2 L AH0 S T IH1 N IY0 AH0 N Z +PALETTE P AE1 L AH0 T +PALEY P EY1 L IY0 +PALFREY P AE1 L F R IY0 +PALIMONY P AE1 L IH0 M OW2 N IY0 +PALIMPSEST P AE1 L IH0 S EH2 S T +PALIN P AE1 L IH0 N +PALINKAS P AE1 L IH0 NG K AH0 Z +PALISADE P AE2 L IH0 S EY1 D +PALISADES P AE2 L IH0 S EY1 D Z +PALKA P AE1 L K AH0 +PALKAR P AE1 L K AA0 R +PALKO P AE1 L K OW0 +PALKOVIC P AH0 L K AA1 V IH0 K +PALL P AA1 L +PALL(2) P AO1 L +PALLA P AE1 L AH0 +PALLADINO P AA0 L AA0 D IY1 N OW0 +PALLADIUM P AH0 L EY1 D IY0 AH0 M +PALLANTE P AA0 L AA1 N T IY0 +PALLAS P AE1 L AH0 S +PALLER P AE1 L ER0 +PALLESCHI P AA0 L EH1 S K IY0 +PALLET P AE1 L AH0 T +PALLETS P AE1 L AH0 T S +PALLETT P AE1 L AH0 T +PALLIATIVE P AE1 L IY0 AH0 T IH0 V +PALLIATIVES P AE1 L IY0 AH0 T IH0 V Z +PALLID P AE1 L AH0 D +PALLIDOTOMY P AE2 L IH0 D AO1 T AH0 M IY0 +PALLO P AE1 L OW0 +PALLONE P AA0 L OW1 N IY0 +PALM P AA1 M 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K +PALUMBO P AH0 L AH1 M B OW0 +PALUZZI P AA0 L UW1 T S IY0 +PAM P AE1 M +PAM'S P AE1 M Z +PAMACHO P AH0 M AA1 CH OW0 +PAMBY P AE1 M B IY0 +PAMELA P AE1 M AH0 L AH0 +PAMELA'S P AE1 M AH0 L AH0 Z +PAMELINA P AA0 M EH0 L IY1 N AH0 +PAMELLA P AH0 M EH1 L AH0 +PAMER P EY1 M ER0 +PAMMY P AE1 M IY0 +PAMOUR P AE1 M AO0 R +PAMPAS P AE1 M P AH0 Z +PAMPEL P AE1 M P AH0 L +PAMPER P AE1 M P ER0 +PAMPERED P AE1 M P ER0 D +PAMPERIN P AE1 M P ER0 IH0 N +PAMPERING P AE1 M P ER0 IH0 NG +PAMPERS P AE1 M P ER0 Z +PAMPHLET P AE1 M F L AH0 T +PAMPHLETEER P AE2 M F L AH0 T IH1 R +PAMPHLETEERS P AE2 M F L AH0 T IH1 R Z +PAMPHLETS P AE1 M F L AH0 T S +PAMPLIN P AE1 M P L IH0 N +PAMPLONA P AE0 M P L OW1 N AH0 +PAN P AE1 N +PAN'S P AE1 N Z +PANACEA P AE2 N AH0 S IY1 AH0 +PANACHE P AH0 N AA1 SH +PANACO P AE1 N AH0 K OW0 +PANAGOPOULOS P AE0 N AH0 G AA1 P AH0 L IH0 S +PANAGOS P AA0 N AA1 G OW0 Z +PANAM P AE2 N AE1 M +PANAMA P AE1 N AH0 M AA2 +PANAMA'S P AE1 N AH0 M AA2 Z +PANAMANIAN P AE2 N AH0 M EY1 N IY0 AH0 N 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NG Z +PANHANDLE P AE1 N HH AE2 N D AH0 L +PANHANDLE'S P AE1 N HH AE2 N D AH0 L Z +PANHANDLER P AE1 N HH AE2 N D L ER0 +PANHANDLERS P AE1 N HH AE2 N D L ER0 Z +PANHANDLING P AE1 N HH AE2 N D L IH0 NG +PANIAGUA P AA0 N IY0 AA1 G AH0 +PANIC P AE1 N IH0 K +PANIC'S P AE1 N IH0 K S +PANICCIA P AA0 N IY1 CH AH0 +PANICKED P AE1 N IH0 K T +PANICKING P AE1 N IH0 K IH0 NG +PANICKY P AE1 N IH0 K IY0 +PANICO P AA0 N IY1 K OW0 +PANICS P AE1 N IH0 K S +PANIK P AE1 N IH0 K +PANINI P AH0 N IY1 N IY2 +PANKAU P AE1 NG K AW0 +PANKEY P AE1 N K IY2 +PANKKI P AE1 NG K IY0 +PANKO P AE1 NG K OW0 +PANKONIN P AE1 NG K AH0 N IH0 N +PANKOW P AE1 NG K OW0 +PANKRATZ P AE1 NG K R AH0 T S +PANKY P AE1 NG K IY0 +PANMUNJOM P AE2 N M UW0 N JH AO1 M +PANMURE P AE1 N M UH2 R +PANNED P AE1 N D +PANNELL P AE1 N AH0 L +PANNIER P AE1 N IY0 ER0 +PANNILL P AE1 N IH0 L +PANNILL'S P AE1 N IH0 L Z +PANNING P AE1 N IH0 NG +PANNONE P AA0 N OW1 N IY0 +PANNU P AA1 N UW0 +PANNULLO P AA0 N UW1 L OW0 +PANNY P AE1 N IY0 +PANOPLY P AE1 N AA0 P L IY0 +PANOPOLYS P AH0 N AA1 P AH0 L IY0 Z +PANORA P AH0 N AO1 R AH0 +PANORAMA P AE2 N ER0 AE1 M AH0 +PANORAMIC P AE2 N ER0 AE1 M IH0 K +PANOS P AA1 N OW0 S +PANOZ P AE1 N AA0 Z +PANOZZO P AH0 N AA1 Z OW0 +PANPHILA P AE1 N F IH0 L AH0 +PANS P AE1 N Z +PANSIES P AE1 N Z IY0 Z +PANSOPHIC P AE1 N S AH0 F IH0 K +PANSY P AE1 N Z IY0 +PANT P AE1 N T +PANTALEO P AA0 N T AA1 L IY0 OW0 +PANTALONE P AE1 N T AH0 L OW2 N +PANTALOON P AE1 N T AH0 L UW2 N +PANTALOONS P AE1 N T AH0 L UW2 N Z +PANTANO P AA0 N T AA1 N OW0 +PANTED P AE1 N T IH0 D +PANTEL P AA0 N T EH1 L +PANTER P AE1 N T ER0 +PANTERA'S P AA0 N T EH1 R AH0 Z +PANTEX P AE1 N T EH0 K S +PANTHEA P AE1 N TH IY0 AH0 +PANTHEISTIC P AE2 N TH IY0 IH1 S T IH0 K +PANTHEON P AE1 N TH IY0 AA2 N +PANTHER P AE1 N TH ER0 +PANTHER'S P AE1 N TH ER0 Z +PANTHERS P AE1 N TH ER0 Z +PANTHERS' P AE1 N TH ER0 Z +PANTIES P AE1 N T IY0 Z +PANTING P AE1 N T IH0 NG +PANTLE P AE1 N T AH0 L +PANTOJA P AA0 N T OW1 Y AH0 +PANTOMIME P AE1 N T AH0 M AY2 M +PANTON P AE1 N T AH0 N +PANTRY P AE1 N T R IY0 +PANTS P AE1 N T S +PANTSUIT P AE1 N T S UW2 T +PANTSUIT(2) P AE1 N S UW2 T +PANTSUITS P AE1 N T S UW2 T S +PANTSUITS(2) P AE1 N S UW2 T S +PANTUSO P AA0 N T UW1 S OW0 +PANTY P AE1 N T IY0 +PANTYHOSE P AE1 N T IY0 HH OW2 Z +PANZA P AE1 N Z AH0 +PANZARELLA P AA0 N Z AA0 R EH1 L AH0 +PANZER P AE1 N Z ER0 +PANZHIHUA P AE2 N Z IH0 HH Y UW1 AH0 +PANZICA P AE1 N Z IH0 K AH0 +PAO P AW1 +PAO'S P AW1 Z +PAOLELLA P AA0 OW0 L EH1 L AH0 +PAOLETTI P AA0 OW0 L EH1 T IY0 +PAOLI P AW1 L IY0 +PAOLI(2) P EY2 OW1 L IY0 +PAOLILLO P AA0 OW0 L IH1 L OW0 +PAOLINI P AA0 OW0 L IY1 N IY0 +PAOLINO P AA0 OW0 L IY1 N OW0 +PAOLO P AW1 L OW0 +PAOLUCCI P AA0 OW0 L UW1 CH IY0 +PAONE P EY1 OW2 N +PAONESSA P AA0 OW0 N EH1 S AH0 +PAP P AE1 P +PAPA P AA1 P AH2 +PAPA'S P AA1 P AA2 Z +PAPACY P EY1 P AH0 S IY0 +PAPADAKIS P AA0 P AA0 D AA1 K IH0 S +PAPADOPOULOS P AE2 P AH0 D AA1 P AH0 L AH0 S +PAPADOPOULOS(2) P AA2 P AH0 D AA1 P AH0 L AH0 S +PAPAGEORGE P AE2 P AH0 JH AO1 R JH +PAPAGEORGE(2) P AA2 P AH0 JH AO1 R JH +PAPAGO P AA1 P AH0 G OW2 +PAPAL P EY1 P AH0 L +PAPALE P AA0 P AA1 L IY0 +PAPALEO P AA0 P EY0 L IY1 AH0 +PAPALIA P AA0 P AA1 L IY0 AH0 +PAPANDREA P AA0 P AA1 N D R IY0 AH0 +PAPANDREOU P AH0 P AE1 N D R IY0 UW2 +PAPANIA P AA0 P AA1 N IY0 AH0 +PAPARAZZI P AA2 P AA0 R AO1 Z IY2 +PAPARAZZI'S P AA2 P AA0 R AO1 Z IY2 Z +PAPARAZZIS P AA2 P AA0 R AO1 Z IY2 Z +PAPARELLA P AA0 P AA0 R EH1 L AH0 +PAPAS P AA1 P AH0 Z +PAPAW P AO1 P AO0 +PAPAY P AE1 P EY0 +PAPAYA P AH0 P AY1 AH0 +PAPAYAS P AH0 P AY1 AH0 Z +PAPAZIAN P AH0 P EY1 Z IY0 AH0 N +PAPE P EY1 P +PAPENFUSS P AE1 P AH0 N F AH2 S +PAPER P EY1 P ER0 +PAPER'S P EY1 P ER0 Z +PAPERAZZI P AE1 P AH0 R AA2 T S IY2 +PAPERBACK P EY1 P ER0 B AE2 K +PAPERBACKS P EY1 P ER0 B AE2 K S +PAPERBOARD P EY1 P ER0 B AO2 R D +PAPERBOY P EY1 P ER0 B AO2 Y +PAPERBOY'S P EY1 P ER0 B AO2 Y Z +PAPERBOYS P EY1 P ER0 B AO2 Y Z +PAPERED P EY1 P ER0 D +PAPERING P EY1 P ER0 IH0 NG +PAPERLESS P EY1 P ER0 L AH0 S +PAPERMAKING P AE1 P ER0 M EY2 K IH0 NG +PAPERMATE P EY1 P ER0 M EY2 T +PAPERNICK P EY1 P ER0 N IH2 K +PAPERS P EY1 P ER0 Z +PAPERS' P EY1 P ER0 Z +PAPERWEIGHT P EY1 P ER0 W EY2 T +PAPERWORK P EY1 P ER0 W ER2 K +PAPERWORKER P EY1 P ER0 W ER2 K ER0 +PAPERWORKERS P EY1 P ER0 W ER2 K ER0 Z +PAPERY P EY1 P ER0 IY0 +PAPESH P AE1 P IH0 SH +PAPIER P EY1 P Y ER0 +PAPIER-MACHE P EY1 P ER0 M AH0 SH EY1 +PAPILLION P AH0 P IH1 L Y AH0 N +PAPILLOMA P AE2 P IH0 L OW1 M AH0 +PAPIN P AA0 P IY1 N +PAPINEAU P AE1 P IH0 N OW2 +PAPINI P AA0 P IY1 N IY0 +PAPKE P EY1 P K +PAPO P AE0 P OW1 +PAPON P AE1 P AO0 N +PAPON'S P AE1 P AO0 N Z +PAPP P AE1 P +PAPPA P AE1 P AH0 +PAPPADIO P AH0 P EY1 D IY0 OW0 +PAPPALARDO P AA0 P AA0 L AA1 R D OW0 +PAPPAS P AE1 P AH0 S +PAPPERT P AE1 P ER0 T +PAPRIKA P AE0 P R IY1 K AH0 +PAPRIKA(2) P AH0 P R IY1 K AH0 +PAPROCKI P AH0 P R OW1 T S K IY0 +PAPSON P AE1 P S AH0 N +PAPUA P AE1 P Y UW0 AH0 +PAQUE P AE1 K +PAQUET P AA1 K EY0 T +PAQUETTE P AH0 K EH1 T +PAQUIN P AE1 K W IH0 N +PAR P AA1 R +PAR'S P AA1 R Z +PARA P EH1 R AH0 +PARABLE P EH1 R AH0 B AH0 L +PARABLES P EH1 R AH0 B AH0 L Z +PARABOLA P ER0 AE1 B AH0 L AH0 +PARABOLIC P EH2 R AH0 B AA1 L IH0 K +PARACHUTE P EH1 R AH0 SH UW2 T +PARACHUTED P EH1 R AH0 SH UW2 T IH0 D +PARACHUTES P EH1 R AH0 SH UW2 T S +PARACHUTING P EH1 R AH0 SH UW2 T IH0 NG +PARADA P ER0 AE1 D AH0 +PARADE P ER0 EY1 D +PARADED P ER0 EY1 D IH0 D +PARADEE P EH1 R AH0 D IY0 +PARADES P ER0 EY1 D Z +PARADIGM P EH1 R AH0 D AY2 M +PARADIGMS P EH1 R AH0 D AY2 M Z +PARADING P ER0 EY1 D IH0 NG +PARADIS P ER0 AE1 D IH0 S +PARADISE P EH1 R AH0 D AY2 S +PARADISO P ER0 AH0 D IY1 S OW0 +PARADOR P EH1 R AH0 D AO2 R +PARADOWSKI P ER0 AH0 D AO1 F S K IY0 +PARADOX P EH1 R AH0 D AA2 K S +PARADOXES P EH1 R AH0 D AA2 K S IH0 Z +PARADOXICAL P EH2 R AH0 D AA1 K S IH0 K AH0 L +PARADOXICALLY P EH2 R AH0 D AA1 K S AH0 K L IY0 +PARADOXICALLY(2) P EH2 R AH0 D AA1 K S AH0 K AH0 L IY0 +PARADY P ER0 AE1 D IY0 +PARADYNE P EH1 R AH0 D AY2 N +PARADYNE'S P EH1 R AH0 D AY2 N Z +PARAFFIN P EH1 R AH0 F AH0 N +PARAG P ER0 AA1 G +PARAGLIDE P EH1 R AH0 G L AY2 D +PARAGON P EH1 R AH0 G AA2 N +PARAGRAPH P AE1 R AH0 G R AE2 F +PARAGRAPH(2) P EH1 R AH0 G R AE2 F +PARAGRAPHS P AE1 R AH0 G R AE2 F S +PARAGRAPHS(2) P EH1 R AH0 G R AE2 F S +PARAGUAY P EH1 R AH0 G W EY2 +PARAGUAYAN P EH2 R AH0 G W AY1 AH0 N +PARAKEET P EH1 R AH0 K IY2 T +PARAKEETS P EH1 R AH0 K IY2 T S +PARALEGAL P EH2 R AH0 L IY1 G AH0 L +PARALEGALS P EH2 R AH0 L IY1 G AH0 L Z +PARALLAX P EH1 R AH0 L AE2 K S +PARALLEL P EH1 R AH0 L EH2 L +PARALLELED P EH1 R AH0 L EH2 L D +PARALLELING P EH1 R AH0 L EH2 L IH0 NG +PARALLELISM P EH1 R AH0 L EH2 L IH2 Z AH0 M +PARALLELS P EH1 R AH0 L EH2 L Z +PARALYMPIC P EH2 R AH0 L IH1 M P IH0 K +PARALYSIS P ER0 AE1 L AH0 S AH0 S +PARALYSIS(2) P ER0 AE1 L IH0 S IH0 S +PARALYTIC P EH2 R AH0 L IH1 T IH0 K +PARALYZE P EH1 R AH0 L AY2 Z +PARALYZED P EH1 R AH0 L AY2 Z D +PARALYZES P EH1 R AH0 L AY2 Z IH0 Z +PARALYZING P EH1 R AH0 L AY2 Z IH0 NG +PARAMAGNETIC P AE2 R AH0 M AE2 G N EH1 T IH0 K +PARAMAX P EH1 R AH0 M AE0 K S +PARAMECIUM P EH2 R AH0 M IY1 S IY0 AH0 M +PARAMEDIC P EH2 R AH0 M EH1 D IH0 K +PARAMEDICS P EH2 R AH0 M EH1 D IH0 K S +PARAMETER P ER0 AE1 M AH0 T ER0 +PARAMETERS P ER0 AE1 M AH0 T ER0 Z +PARAMETRIC P EH2 R AH0 M EH1 T R IH0 K +PARAMILITARIES P EH2 R AH0 M IH1 L AH0 T EH2 R IY0 Z +PARAMILITARY P EH2 R AH0 M IH1 L AH0 T EH2 R IY0 +PARAMO P ER0 AE1 M OW0 +PARAMONOVA P EH2 R AH0 M AH0 N OW1 V AH0 +PARAMORE P EH1 AH0 M AO1 R +PARAMOUNT P EH1 R AH0 M AW2 N T +PARAMOUNT'S P EH1 R AH0 M AW2 N T S +PARAMUS P ER0 AE1 M AH0 S +PARANA P ER0 AA1 N AH0 +PARANOIA P EH2 R AH0 N OY1 AH0 +PARANOIAC P EH2 R AH0 N OY1 AE2 K +PARANOID P EH1 R AH0 N OY2 D +PARANORMAL P EH0 R AH0 N AO1 R M AH0 L +PARAPET P EH1 R AH0 P EH2 T +PARAPHERNALIA P EH2 R AH0 F AH0 N EY1 L Y AH0 +PARAPHRASE P EH1 R AH0 F R EY2 Z +PARAPHRASING P EH1 R AH0 F R EY2 Z IH0 NG +PARAPLEGIA P EH2 R AH0 P L IY1 JH IY0 AH0 +PARAPLEGIC P EH2 R AH0 P L EH1 G IH0 K +PARAPLEGIC(2) P EH2 R AH0 P L IY1 JH IH0 K +PARASITE P EH1 R AH0 S AY2 T +PARASITES P EH1 R AH0 S AY2 T S +PARASITIC P EH2 R AH0 S IH1 T IH0 K +PARASYMPATHETIC P EH2 R AH0 S IH2 M P AH0 TH EH1 T IH0 K +PARATORE P ER0 AH0 T AO1 R IY0 +PARATROOP P EH1 R AH0 T R UW2 P +PARATROOPER P EH1 R AH0 T R UW2 P ER0 +PARATROOPERS P EH1 R AH0 T R UW2 P ER0 Z +PARATROOPS P EH1 R AH0 T R UW2 P S +PARAZOA P EH2 R AH0 Z OW1 AH0 +PARBOIL P AA1 R B OY2 L +PARBOILING P AA1 R B OY2 L IH0 NG +PARC P AA1 R K +PARCEL P AA1 R S AH0 L +PARCELED P AA1 R S AH0 L D +PARCELING P AA1 R S AH0 L IH0 NG +PARCELING(2) P AA1 R S L IH0 NG +PARCELL P AA0 R S EY1 L +PARCELLS P AA1 R S AH0 L Z +PARCELS P AA1 R S AH0 L Z +PARCH P AA1 R CH +PARCHED P AA1 R CH T +PARCHER P AA1 R CH ER0 +PARCHMAN P AA1 R K M AH0 N +PARCHMENT P AA1 R CH M AH0 N T +PARCHMENTLIKE P AA1 R CH M AH0 N T L AY2 K +PARCPLACE P AA1 R K P L EY2 S +PARDE P AA1 R D +PARDEE P AA1 R D IY0 +PARDEN P AA1 R D AH0 N +PARDI P AA1 R D IY0 +PARDINI P AA0 R D IY1 N IY0 +PARDO P AA1 R D OW0 +PARDOE P AA1 R D OW2 +PARDON P AA1 R D AH0 N +PARDONED P AA1 R D AH0 N D +PARDONING P AA1 R D AH0 N IH0 NG +PARDONS P AA1 R D AH0 N Z +PARDUE P AA1 R D UW2 +PARDUS P AA1 R D AH0 S +PARDY P AA1 R D IY0 +PARE P EH1 R +PARED P EH1 R D +PAREDES P AA0 R EY1 D EH0 S +PAREDEZ P AA0 R EY1 D EH0 Z +PAREDIS P EH1 R AH0 D IH2 S +PAREDO P AH0 R EY1 D OW0 +PAREKH P AA1 R IH0 K +PARELLA P AA0 R EH1 L AH0 +PARENT P EH1 R AH0 N T +PARENT'S P EH1 R AH0 N T S +PARENTAGE P EH1 R AH0 N T AH0 JH +PARENTAL P ER0 EH1 N T AH0 L +PARENTE P AA0 R EH1 N T IY0 +PARENTEAU P AA0 R EH1 N T OW0 +PARENTHESES P ER0 EH1 N TH AH0 S IY2 Z +PARENTHESIS P ER0 EH1 N TH AH0 S IH0 S +PARENTHETICAL P ER0 EH0 N TH EH1 T IH0 K AH0 L +PARENTHETICALLY P ER0 EH0 N TH EH1 T IH0 K AH0 L IY0 +PARENTHETICALLY(2) P ER0 EH0 N TH EH1 T IH0 K L IY0 +PARENTHOOD P EH1 R AH0 N T HH UH2 D +PARENTI P AA0 R EH1 N T IY0 +PARENTING P EH1 R AH0 N T IH0 NG +PARENTS P EH1 R AH0 N T S +PARENTS' P EH1 R AH0 N T S +PARES P EH1 R Z +PARETI P EH2 R EH1 T IY0 +PARETO P AA2 R EH1 T OW0 +PARETTI P EH2 R EH1 T IY0 +PARFAIT P AA2 R F EY1 +PARFAITS P AA2 R F EY1 Z +PARFITT P AA1 R F IH0 T +PARFUMS P ER0 F Y UW1 M Z +PARFUMS(2) P AA0 R F Y UW1 M Z +PARGA P AA1 R G AH0 +PARGESA P AA0 R JH EH1 S AH0 +PARHAM P AA1 R HH AH0 M +PARIAGUA P AA0 R IY0 AA1 G W AH0 +PARIAH P ER0 AY1 AH0 +PARIAHS P ER0 AY1 AH0 Z +PARIBAS P EH0 R IY1 B AH0 S +PARIBAS'S P EH0 R IY1 B AH0 S IH0 Z +PARIETAL P ER0 AY1 AH0 T AH0 L +PARIKH P AE1 R IH0 K +PARILLO P AA0 R IH1 L OW0 +PARIMUTUEL P EH2 R IH0 M Y UW1 CH UW0 AH0 L +PARING P EH1 R IH0 NG +PARIS P EH1 R IH0 S +PARIS(2) P AE1 R IH0 S +PARIS' P EH1 R IH0 S +PARIS'(2) P AE1 R IH0 S +PARIS'S P EH1 R IH0 S IH0 Z +PARISE P AA1 R AY0 Z +PARISEAU P AE1 R IH0 S OW0 +PARISH P AE1 R IH0 SH +PARISH(2) P EH1 R IH0 SH +PARISHES P AE1 R IH0 SH IH0 Z +PARISHES(2) P EH1 R IH0 SH IH0 Z +PARISHIONER P ER0 IH1 SH AH0 N ER0 +PARISHIONERS P ER0 IH1 SH AH0 N ER0 Z +PARISI P AA0 R IY1 S IY0 +PARISIAN P ER0 IH1 ZH AH0 N +PARISIANS P ER0 IH1 S IY0 AH0 N Z +PARISIENNE P ER0 IH1 S IY0 EH2 N +PARITIES P EH1 R AH0 T IY0 Z +PARITY P EH1 R AH0 T IY0 +PARIZEAU P EH1 R IH0 Z OW2 +PARIZEK P ER0 IH1 Z EH0 K +PARIZO P AA0 R IY1 Z OW0 +PARK P AA1 R K +PARK'S P AA1 R K S +PARKA P AA1 R K AH0 +PARKAS P AA1 R K AH0 Z +PARKE P AA1 R K +PARKED P AA1 R K T +PARKER P AA1 R K ER0 +PARKER'S P AA1 R K ER0 Z +PARKERS P AA1 R K ER0 Z +PARKERSBURG P AA1 R K ER0 Z B ER0 G +PARKERSON P AA1 R K ER0 S AH0 N +PARKES P AA1 R K S +PARKEY P AA1 R K IY2 +PARKFIELD P AA1 R K F IY0 L D +PARKHILL P AA1 R K HH IH2 L +PARKHURST P AA1 R K HH ER0 S T +PARKIN P AA1 R K IH0 N +PARKING P AA1 R K IH0 NG +PARKINS P AA1 R K IH0 N Z +PARKINSON P AA1 R K IH0 N S AH0 N +PARKINSON'S P AA1 R K IH0 N S AH0 N Z +PARKINSONISM P AA1 R K IH0 N S AH0 N IH2 Z IH0 M +PARKISON P AA1 R K IH0 S AH0 N +PARKLAND P AA1 R K L AE2 N D +PARKMAN P AA1 R K M AH0 N +PARKS P AA1 R K S +PARKS' P AA1 R K S +PARKSIDE P AA1 R K S AY2 D +PARKWAY P AA1 R K W EY2 +PARLANCE P AA1 R L AH0 N S +PARLATO P AA0 R L AA1 T OW0 +PARLAY P AA1 R L EY0 +PARLAYED P AA1 R L EY2 D +PARLAYING P AA1 R L EY0 IH0 NG +PARLAYS P AA1 R L EY0 Z +PARLEE P AA1 R L IY2 +PARLER P AA1 R L ER0 +PARLETT P AA1 R L IH0 T +PARLETTE P AA2 R L EH1 T +PARLEY P AA1 R L IY0 +PARLIAMENT P AA1 R L AH0 M AH0 N T +PARLIAMENT'S P AA1 R L AH0 M AH0 N T S +PARLIAMENTARIAN P AA2 R L AH0 M AH0 N T EH1 R IY0 AH0 N +PARLIAMENTARIANISM P AA2 R L AH0 M AH0 N T EH1 R IY0 AH0 N IH0 Z AH0 M +PARLIAMENTARIANISM(2) P AA2 R L AH0 M AH0 N T EH1 R IY0 AH0 N IH0 Z M +PARLIAMENTARIANS P AA2 R L AH0 M EH0 N T EH1 R IY0 AH0 N Z +PARLIAMENTARY P AA2 R L AH0 M EH1 N T ER0 IY0 +PARLIAMENTARY(2) P AA2 R L AH0 M EH1 N ER0 IY0 +PARLIAMENTS P AA1 R L AH0 M AH0 N T S +PARLIER P AA1 R L IY0 ER0 +PARLIN P AA1 R L IH0 N +PARLODEL P AA1 R L OW2 D EH2 L +PARLOR P AA1 R L ER0 +PARLORS P AA1 R L ER0 Z +PARLOUR P AA1 R L ER0 +PARLOW P AA1 R L OW2 +PARMA P AA1 R M AH0 +PARMALAT P AA1 R M AH0 L AE2 T +PARMAN P AA1 R M AH0 N +PARMAR P AA1 R M AA2 R +PARMELE P AA0 R M EH1 L IY0 +PARMELEE P AA1 R M IH0 L IY0 +PARMENTER P AA1 R M AH0 N T ER0 +PARMENTIER P AA1 R M AH0 N T IY0 ER0 +PARMER P AA1 R M ER0 +PARMESAN P AA1 R M AH0 Z AA2 N +PARMETER P AA1 R M IH0 T ER0 +PARMLEY P AA1 R M L IY0 +PARNASSUS P AA2 R N AE1 S AH0 S +PARNELL P AA1 R N AH0 L +PARNELLA P AA0 R N EH1 L AH0 +PARNES P AA1 R N Z +PARNESS P AA1 R N AH0 S +PARO P AA1 R OW0 +PAROCHIAL P ER0 OW1 K IY0 AH0 L +PAROCHIALISM P ER0 OW1 K IY0 AH0 L IH2 Z AH0 M +PARODI P AA0 R OW1 D IY0 +PARODIED P EH1 R AH0 D IY0 D +PARODIES P EH1 R AH0 D IY0 Z +PARODIST P AE1 R AH0 D IH0 S T +PARODY P EH1 R AH0 D IY0 +PAROLE P ER0 OW1 L +PAROLED P ER0 OW1 L D +PAROLEE P ER0 OW2 L IY1 +PAROLEES P ER0 OW2 L IY1 Z +PAROLES P ER0 OW1 L Z +PAROLING P ER0 OW1 L IH0 NG +PARPART P AA1 R P AA2 R T +PARQUET P AA0 R K EY1 +PARR P AA1 R +PARRA P AA1 R AH0 +PARRACK P AE1 R AH0 K +PARRAMORE P AA0 R AA1 M AO0 R +PARRAS P EH1 R AH0 Z +PARRELLA P AA0 R EH1 L AH0 +PARRENT P AA1 R AH0 N T +PARRETT P AE1 R IH0 T +PARRETTI P ER0 EH1 T IY0 +PARRETTI'S P ER0 EH1 T IY0 S +PARRIED P EH1 R IY0 D +PARRILL P AE1 R AH0 L +PARRILLA P AA2 R IH1 L AH0 +PARRILLO P AA2 R IH1 L OW0 +PARRINELLO P AA0 R IY0 N EH1 L OW0 +PARRINO P AA2 R IY1 N OW0 +PARRIOTT P AE1 R IY0 AH0 T +PARRIS P EH1 R IH0 S +PARRISH P EH1 R IH0 SH +PARRISHES P EH1 R IH0 SH IH0 Z +PARROT P EH1 R AH0 T +PARROTS P EH1 R AH0 T S +PARROTT P EH1 R AH0 T +PARROTTA P AA0 R OW1 T AH0 +PARROW P AE1 R OW0 +PARRY P EH1 R IY0 +PARS P AA1 R Z +PARSE P AA1 R S +PARSEC P AA1 R S EH2 K +PARSED P AA1 R S T +PARSEFAL P AA1 R S IH0 F AH0 L +PARSELL P AA1 R S AH0 L +PARSER P AA1 R S ER0 +PARSERS P AA1 R S ER0 Z +PARSHALL P AA1 R SH AH0 L +PARSHLEY P AA1 R SH L IY0 +PARSI P AA1 R S IY0 +PARSIFAL P AA1 R S IH0 F AH0 L +PARSIFAL(2) P AA1 R Z AH0 F AA2 L +PARSIMONIOUS P AA2 R S AH0 M OW1 N IY0 AH0 S +PARSIMONY P AA1 R S AH0 M OW2 N IY0 +PARSING P AA1 R S IH0 NG +PARSIPPANY P AA0 R S IH1 P AH0 N IY0 +PARSKY P AA1 R S K IY0 +PARSLEY P AA1 R S L IY0 +PARSLOW P AA1 R S L OW2 +PARSON P AA1 R S AH0 N +PARSONAGE P AA1 R S AH0 N IH0 JH +PARSONAGES P AA1 R S AH0 N IH0 JH AH0 Z +PARSONS P AA1 R S AH0 N Z +PARSOW P AA1 R S OW0 +PART P AA1 R T +PART'S P AA1 R T S +PART-TIME P AA1 R T T AY1 M +PARTAIN P AA0 R T EY1 N +PARTAKE P AA0 R T EY1 K +PARTCH P AA1 R CH +PARTE P AA1 R T +PARTE(2) P AA1 R T EY0 +PARTECIPAZIONI P AA2 R T EH2 S IH0 P AE2 Z IY0 OW1 N IY0 +PARTED P AA1 R T IH0 D +PARTEE P AA1 R T IY1 +PARTEN P AA1 R T AH0 N +PARTENOPE P AA1 R T AH0 N OW2 P +PARTHENIA P AA0 R TH EH1 N IY0 AH0 +PARTHENOGENETIC P AA2 R TH AH0 N OW0 JH AH0 N EH1 T IH0 K +PARTHENON P AA1 R TH AH0 N AA2 N +PARTHIAN P AA1 R TH IY0 AH0 N +PARTI P AA1 R T IY0 +PARTIAL P AA1 R SH AH0 L +PARTIALITY P AA2 R SH IY0 AE1 L AH0 T IY0 +PARTIALLY P AA1 R SH AH0 L IY0 +PARTIALLY(2) P AA1 R SH L IY0 +PARTICIPANT P AA0 R T IH1 S AH0 P AH0 N T +PARTICIPANTS P AA0 R T IH1 S AH0 P AH0 N T S +PARTICIPANTS' P AA0 R T IH1 S AH0 P AH0 N T S +PARTICIPATE P AA0 R T IH1 S AH0 P EY2 T +PARTICIPATED P AA0 R T IH1 S AH0 P EY2 T IH0 D +PARTICIPATES P AA0 R T IH1 S AH0 P EY2 T S +PARTICIPATING P AA0 R T IH1 S AH0 P EY2 T IH0 NG +PARTICIPATION P AA0 R T IH2 S AH0 P EY1 SH AH0 N +PARTICIPATIONS P AA0 R T IH2 S AH0 P EY1 SH AH0 N Z +PARTICIPATIVE P AA2 R T IH1 S AH0 P AH0 T IH0 V +PARTICIPATORY P AA2 R T IH1 S AH0 P AH0 T AO2 R IY0 +PARTICIPLE P AA1 R T IH0 S IH2 P AH0 L +PARTICIPLES P AA1 R T IH0 S IH2 P AH0 L Z +PARTICLE P AA1 R T AH0 K AH0 L +PARTICLE(2) P AA1 R T IH0 K AH0 L +PARTICLES P AA1 R T AH0 K AH0 L Z +PARTICLES(2) P AA1 R T IH0 K AH0 L Z +PARTICULAR P ER0 T IH1 K Y AH0 L ER0 +PARTICULAR(2) P AA2 T IH1 K Y AH0 L ER0 +PARTICULARITY P ER0 T IH2 K Y AH0 L AE1 R AH0 T IY0 +PARTICULARLY P AA2 R T IH1 K Y AH0 L ER0 L IY0 +PARTICULARLY(2) P ER0 T IH1 K Y AH0 L ER0 L IY0 +PARTICULARS P ER0 T IH1 K Y AH0 L ER0 Z +PARTICULATE P ER0 T IH1 K Y AH0 L AH0 T +PARTICULATES P AA2 R T IH1 K Y AH0 L AH0 T S +PARTIDA P AA0 R T IY1 D AH0 +PARTIDO P AA0 R T IY1 D OW0 +PARTIED P AA1 R T IY0 D +PARTIES P AA1 R T IY0 Z +PARTIES' P AA1 R T IY0 Z +PARTIES'(2) P AA1 R T IY2 Z +PARTIN P AA1 R T IH0 N +PARTING P AA1 R T IH0 NG +PARTINGTON P AA1 R T IH0 NG T AH0 N +PARTISAN P AA1 R T AH0 Z AH0 N +PARTISANED P AA1 R T AH0 Z AH0 N D +PARTISANS P AA1 R T AH0 Z AH0 N Z +PARTISANSHIP P AA1 R T AH0 Z AH0 N SH IH2 P +PARTITION P AA0 R T IH1 SH AH0 N +PARTITIONED P AA0 R T IH1 SH AH0 N D +PARTITIONING P AA0 R T IH1 SH AH0 N IH0 NG +PARTITIONS P AA0 R T IH1 SH AH0 N Z +PARTLOW P AA1 R T L OW2 +PARTLY P AA1 R T L IY0 +PARTNER P AA1 R T N ER0 +PARTNER'S P AA1 R T N ER0 Z +PARTNERED P AA1 R T N ER0 D +PARTNERING P AA1 R T N ER0 IH0 NG +PARTNERS P AA1 R T N ER0 Z +PARTNERS' P AA1 R T N ER0 Z +PARTNERSHIP P AA1 R T N ER0 SH IH2 P +PARTNERSHIP'S P AA1 R T N ER0 SH IH2 P S +PARTNERSHIPS P AA1 R T N ER0 SH IH2 P S +PARTNERSHIPS' P AA1 R T N ER0 SH IH0 P S +PARTNEY P AA1 R T N IY0 +PARTON P AA1 R T AH0 N +PARTRIDGE P AA1 R T R AH0 JH +PARTRIDGE(2) P AA1 R T R IH0 JH +PARTRIDGES P AA1 R T R IH0 JH IH0 Z +PARTS P AA1 R T S +PARTS' P AA1 R T S +PARTTIME P AA1 R T T AY2 M +PARTUM P AA1 R T AH0 M +PARTY P AA1 R T IY0 +PARTY'S P AA1 R T IY0 Z +PARTYING P AA1 R T IY0 IH0 NG +PARTYKA P ER0 T IH1 K AH0 +PARVIN P AA1 R V IH0 N +PARY P AA1 R IY0 +PARZIALE P AA2 R Z IY0 AA1 L IY0 +PARZYCH P AA1 R Z IH0 HH +PAS P AA1 Z +PAS-DE-DEUX P AA1 D AH0 D UW1 +PASADENA P AE2 S AH0 D IY1 N ER0 +PASCAGOULA P AE2 S K AH0 G UW1 L AH0 +PASCAL P AE0 S K AE1 L +PASCALE P AE0 S K AE1 L +PASCARELLA P AA0 S K AA0 R EH1 L AH0 +PASCARELLI P AA0 S K AA0 R EH1 L IY0 +PASCH P AE1 S K +PASCHAL P AE1 SH AH0 L +PASCHALL P AE1 SH AH0 L +PASCHEN P AE1 SH AH0 N +PASCHKE P AE1 SH K +PASCO P AA1 S K OW0 +PASCOE P AE1 S K OW0 +PASCUA P AA0 S K UW1 AH0 +PASCUAL P AE1 S K UW0 AH0 L +PASCUCCI P AA0 S K UW1 CH IY0 +PASCUTTO P AH0 S K Y UW1 T OW0 +PASCUZZI P AA0 S K UW1 T S IY0 +PASEK P AA1 S EH0 K +PASEO P AA0 S EY1 OW2 +PASH P AE1 SH +PASHA P AH0 SH AA1 +PASHA(2) P AA1 SH AH0 +PASHLEY P AE1 SH L IY0 +PASILLAS P AA0 S IH1 L AH0 Z +PASING P EY1 S IH0 NG +PASION P AA0 ZH IY1 N +PASK P AE1 S K 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AA2 P S +PAYTON P EY1 T AH0 N +PAZ P AA1 Z +PAZNER P AA1 Z N ER0 +PAZOS P AA1 Z OW0 Z +PAZUTO P AH0 Z UW1 T OW0 +PC P IY1 S IY1 +PC'S P IY1 S IY1 Z +PCS P IY1 S IY1 Z +PDF P IY2 D IY2 EH1 F +PEA P IY1 +PEABODY P IY1 B AA2 D IY0 +PEABODY'S P IY1 B AA2 D IY0 Z +PEACE P IY1 S +PEACEABLE P IY1 S AH0 B AH0 L +PEACEABLY P IY1 S AH0 B L IY0 +PEACEFUL P IY1 S F AH0 L +PEACEFULLY P IY1 S F AH0 L IY0 +PEACEFULNESS P IY1 S F AH0 L N AH0 S +PEACEKEEPER P IY1 S K IY2 P ER0 +PEACEKEEPERS P IY1 S K IY2 P ER0 Z +PEACEKEEPING P IY1 S K IY2 P IH0 NG +PEACEMAKER P IY1 S M EY2 K ER0 +PEACEMAKER'S P IY1 S M EY2 K ER0 Z +PEACEMAKERS P IY1 S M EY2 K ER0 Z +PEACEMAKING P IY1 S M EY2 K IH0 NG +PEACENIK P IY1 S N IH2 K +PEACETIME P IY1 S T AY2 M +PEACH P IY1 CH +PEACHER P IY1 CH ER0 +PEACHES P IY1 CH AH0 Z +PEACHES(2) P IY1 CH IH0 Z +PEACHEY P IY1 CH IY0 +PEACHTREE P IY1 CH T R IY2 +PEACHY P IY1 CH IY0 +PEACOCK P IY1 K AA2 K +PEACOCKS P IY1 K AA2 K S +PEADEN P EH1 D AH0 N +PEAFOWL P IY1 F AW2 L +PEAGLER P IY1 G L ER0 +PEAK P IY1 K +PEAKE P IY1 K +PEAKED P IY1 K T +PEAKES P IY1 K S +PEAKES' P IY1 K S +PEAKING P IY1 K IH0 NG +PEAKS P IY1 K S +PEAKS' P IY1 K S +PEAL P IY1 L +PEALE P IY1 L +PEALER P IY1 L ER0 +PEANUT P IY1 N AH0 T +PEANUT(2) P IY1 N AH2 T +PEANUTS P IY1 N AH0 T S +PEANUTS(2) P IY1 N AH2 T S +PEAPACK P IY1 P AE2 K +PEAPOD P IY1 P AO2 D +PEAR P EH1 R +PEARCE P IH1 R S +PEARCY P ER1 K IY0 +PEARL P ER1 L +PEARL-HARBOR P ER1 L HH AA1 R B ER0 +PEARLE P ER1 L +PEARLINE P ER1 L AY0 N +PEARLING P ER1 L IH0 NG +PEARLMAN P ER1 L M AE2 N +PEARLS P ER1 L Z +PEARLSTEIN P ER1 L S T AY2 N +PEARLSTEIN(2) P ER1 L S T IY2 N +PEARLSTINE P ER1 L S T AY2 N +PEARLY P ER1 L IY0 +PEARMAN P EH1 R M AH0 N +PEARS P EH1 R Z +PEARSALL P EH1 R S AO0 L +PEARSE P ER1 S +PEARSON P IH1 R S AH0 N +PEARSON'S P IH1 R S AH0 N Z +PEART P ER1 T +PEARY P IY1 R IY0 +PEAS P IY1 Z +PEASANT P EH1 Z AH0 N T +PEASANTRY P EH1 Z AH0 N T R IY0 +PEASANTS P EH1 Z AH0 N T S +PEASANTS' P EH1 Z AH0 N T S +PEASE P IY1 Z +PEASE(2) P IY1 S +PEASEY P IY1 Z IY0 +PEASEY'S P IY1 Z IY0 Z +PEASLEE P IY1 Z L IY2 +PEASLEY P IY1 Z L IY0 +PEAT P IY1 T +PEAT'S P IY1 T S +PEATROSS P IY1 T R AH0 S +PEAUDOUCE P OW1 D UW2 S +PEAVEY P IY1 V IY0 +PEAVLER P IY1 V L ER0 +PEAVY P IY1 V IY0 +PEAY P IY1 +PEBBLE P EH1 B AH0 L +PEBBLES P EH1 B AH0 L Z +PEBEREAU P EH1 B ER0 OW2 +PEBEREAU'S P EH1 B ER0 OW2 Z +PEBLEY P EH1 B L IY0 +PECAN P AH0 K AA1 N +PECAN(2) P IY1 K AA2 N +PECAN(3) P IH0 K AE1 N +PECANINS P EH1 K AH0 N IH0 N Z +PECANINS' P EH1 K AH0 N IH0 N Z +PECANS P IH0 K AE1 N Z +PECANS(2) P IY1 K AA2 N Z +PECANS(3) P AH0 K AA1 N Z +PECCI P EH1 CH IY0 +PECH P EH1 K +PECHA P EH1 CH AH0 +PECHACEK P EH1 K AH0 S IH0 K +PECHIN P EH1 CH IH0 N +PECHINEY P EH1 CH IH0 N IY0 +PECHMAN P EH1 K M AH0 N +PECHORA P AH0 K AO1 R AH0 +PECHORA(2) P EH1 K ER0 AH0 +PECHT P EH1 K T +PECINA P EH0 CH IY1 N AH0 +PECK P EH1 K +PECK'S P EH1 K S +PECKA P EH1 K AH0 +PECKENPAUGH P IH0 K EH1 N P AO0 +PECKHAM P EH1 K AH0 M +PECKING P EH1 K IH0 NG +PECKINPAUGH P IH0 K IH1 N P AO0 +PECKMAN P EH1 K M AH0 N +PECKSNIFFIAN P EH0 K S N IH1 F IY2 AH0 N +PECO P EY1 K OW0 +PECO'S P EY1 K OW0 Z +PECOR P EH1 K ER0 +PECORA P EH0 K AO1 R AH0 +PECORARO P EH0 K AO0 R AA1 R OW0 +PECORE P EH0 K AO1 R IY0 +PECOT P EH1 K AH0 T +PECTIC P EH1 K T IH0 K +PECTIN P EH1 K T AH0 N +PECTIN(2) P EH1 K T IH0 N +PECTORAL P EH1 K T ER0 AH0 L +PECTORIS P EH1 K T AH0 R IH0 S +PECULIAR P AH0 K Y UW1 L Y ER0 +PECULIAR(2) P IH0 K Y UW1 L Y ER0 +PECULIARITIES P IH0 K Y UW2 L IY0 EH1 R AH0 T IY0 Z +PECULIARITY P IH0 K Y UW2 L IY0 EH1 R AH0 T IY0 +PECULIARLY P IH0 K Y UW1 L Y ER0 L IY0 +PECUNIARY P EH0 K Y UW1 N IY0 EH2 R IY0 +PEDAGOGICAL P EH2 D AH0 G AA1 JH IH0 K AH0 L +PEDAGOGY P EH1 D AH0 G OW2 JH IY0 +PEDAL P EH1 D AH0 L +PEDALED P EH1 D AH0 L D +PEDALING P EH1 D AH0 L IH0 NG +PEDALING(2) P EH1 D L IH0 NG +PEDALLED P EH1 D AH0 L D +PEDALS P EH1 D AH0 L Z +PEDANT P EH1 D AH0 N T +PEDANTIC P AH0 D AE1 N T IH0 K +PEDANTRY P EH1 D AH0 N T R IY0 +PEDANTS P EH1 D AH0 N T S +PEDDICORD P EH1 D IH0 K AO0 R D +PEDDIE P EH1 D IY0 +PEDDLE P EH1 D AH0 L +PEDDLED P EH1 D AH0 L D +PEDDLER P EH1 D L ER0 +PEDDLERS P EH1 D L ER0 Z +PEDDLES P EH1 D AH0 L Z +PEDDLING P EH1 D AH0 L IH0 NG +PEDDLING(2) P EH1 D L IH0 NG +PEDDY P EH1 D IY0 +PEDEN P EH1 D AH0 N +PEDERSEN P EH1 D ER0 S AH0 N +PEDERSON P EH1 D ER0 S AH0 N +PEDESTAL P EH1 D AH0 S T AH0 L +PEDESTALS P EH1 D AH0 S T AH0 L Z +PEDESTRIAN P AH0 D EH1 S T R IY0 AH0 N +PEDESTRIANS P AH0 D EH1 S T R IY0 AH0 N Z +PEDIATRIC P IY2 D IY0 AE1 T R IH0 K +PEDIATRICIAN P IY2 D IY0 AH0 T R IH1 SH AH0 N +PEDIATRICIANS P IY2 D IY0 AH0 T R IH1 SH AH0 N Z +PEDIATRICS P IY2 D IY0 AE1 T R IH0 K S +PEDICURE P EH1 D IH0 K Y ER0 +PEDICURE(2) P EH1 D IH0 K Y AO0 R +PEDICURES P EH1 D IH0 K Y ER0 Z +PEDICURES(2) P EH1 D IH0 K Y AO0 R Z +PEDIGO P EH0 D IY1 G OW0 +PEDIGREE P EH1 D AH0 G R IY0 +PEDIGREES P EH1 D AH0 G R IY0 Z +PEDLEY P EH1 D L IY0 +PEDONE P EY0 D OW1 N EY0 +PEDOPHILE P EH1 D OW0 F AY0 L +PEDOPHILE(2) P EH1 D AH0 F IH0 L +PEDOPHILES P EH1 D OW0 F AY0 L Z +PEDOPHILES(2) P EH1 D AH0 F IH0 L Z +PEDOPHILIA P EH2 D AH0 F IH1 L Y AH0 +PEDOPHILIAC P EH2 D AH0 F IH1 L Y AE0 K +PEDOPHILIACS P EH2 D AH0 F IH1 L Y AE0 K S +PEDOPHILIC P EH0 D OW0 F IH1 L IH0 K +PEDOWITZ P EH1 D OW0 IH0 T S +PEDOWITZ(2) P AH0 D AW1 IH0 T S +PEDRAZA P EY0 D R AA1 Z AH0 +PEDRETTI P EH0 D R EH1 T IY0 +PEDRICK P EH1 D R IH0 K +PEDRO P EY1 D R OW0 +PEDROLI P EH2 D R OW1 L IY0 +PEDROS P EY1 D R OW0 Z +PEDROSA P EY0 D R OW1 S AH0 +PEDROSO P EY0 D R OW1 S OW0 +PEDROTTI P EH0 D R OW1 T IY0 +PEDROZA P EY0 D R OW1 Z AH0 +PEE P IY1 +PEE-PEE P IY1 P IY1 +PEE-WEE P IY1 W IY2 +PEEBLER P IY1 B L ER0 +PEEBLES P IY1 B AH0 L Z +PEED P IY1 D +PEEDIN P IY1 D IH0 N +PEEING P IY1 IH0 NG +PEEK P IY1 K +PEEKED P IY1 K T +PEEKING P IY1 K IH0 NG +PEEKS P IY1 K S +PEEL P IY1 L +PEELE P IY1 L +PEELED P IY1 L D +PEELER P IY1 L ER0 +PEELERS P IY1 L ER0 Z +PEELING P IY1 L IH0 NG +PEELS P IY1 L Z +PEENS P IY1 N Z +PEEP P IY1 P +PEEPED P IY1 P T +PEEPING P IY1 P IH0 NG +PEEPLES P IY1 P AH0 L Z +PEEPS P IY1 P S +PEER P IH1 R +PEER-TO-PEER P IH1 R T UW0 P IH1 R +PEERAGE P IH1 R AH0 JH +PEERED P IH1 R D +PEERING P IY1 R IH0 NG +PEERLESS P IH1 R L IH0 S +PEERS P IH1 R Z +PEERSON P IH1 R S AH0 N +PEERY P IY1 R IY0 +PEES P IY1 Z +PEET P IY1 T +PEET'S P IY1 T S +PEETE P IY1 T +PEETERS P IY1 T ER0 Z +PEETS P IY1 T S +PEETZ P IY1 T S +PEEVE P IY1 V +PEEVED P IY1 V D +PEEVES P IY1 V Z +PEEVEY P IY1 V IY0 +PEEVISH P IY1 V IH0 SH +PEEVY P IY1 V IY0 +PEEWEE P IY1 W IY2 +PEFFER P EH1 F ER0 +PEFFLEY P EH1 F L IY0 +PEG P EH1 G +PEGASUS P EH1 G AH0 S AH0 S +PEGBOARD P EH1 G B AO2 R D +PEGBOARDS P EH1 G B AO2 R D Z +PEGG P EH1 G +PEGGED P EH1 G D +PEGGIE P EH1 G IY0 +PEGGING P EH1 G IH0 NG +PEGGS P EH1 G Z +PEGGY P EH1 G IY0 +PEGLOW P EH1 G L OW2 +PEGMATITE P EH1 G M AH0 T AY2 T +PEGRAM P EH1 G R AE2 M +PEGS P EH1 G Z +PEGUERO P EY0 G EH1 R OW0 +PEGUES P EY1 G EH0 S +PEHL P EH1 L +PEHRSON P EH1 R S AH0 N +PEI P EY1 +PEI'S P EY1 Z +PEIFER P AY1 F ER0 +PEIFFER P AY1 F ER0 +PEIL P IY1 L +PEINADO P EY0 IY0 N AA1 D OW0 +PEINE P IY1 N +PEIPU P EY1 P UW2 +PEIRCE P IH1 R S +PEIRCE(2) P IY1 R S +PEIRSON P IY1 R S AH0 N +PEISER P AY1 S ER0 +PEITZ P IY1 T S +PEIXOTO P AH0 K S OW1 T OW0 +PEJORATIVE P AH0 JH AO1 R AH0 T IH0 V +PEKALA P IH0 K AA1 L AH0 +PEKAR P EH1 K ER0 +PEKAREK P EH1 K ER0 IH0 K +PEKIN P IY1 K AH0 N +PEKING P IY1 K IH1 NG +PEKO P IY1 K OW2 +PEKRUL P EH1 K R AH0 L +PELADEAU P EH1 L AH0 D OW2 +PELAEZ P EY0 L AA1 EH0 Z +PELAGIA P EH0 L AA1 JH IY0 AH0 +PELAGIAN P IH0 L EY1 JH IY0 AH0 N +PELAGIANS P IH0 L EY1 JH IY0 AH0 N Z +PELAGIC P AH0 L AE1 JH IH0 K +PELAGREENY P EH0 L AH0 G R IY1 N IY0 +PELAYO P EY0 L EY1 OW0 +PELC P EH1 L K +PELCHAT P EH1 L CH AH0 T +PELCZAR P EH1 L CH ER0 +PELE P EH1 L EY0 +PELEKUNU P EH2 L AH0 K UW1 N UW0 +PELEKUNU'S P EH2 L AH0 K UW1 N UW0 Z +PELEPONNESIAN P EH2 L AH0 P AH0 N IY1 ZH AH0 N +PELERIN P EH1 L ER0 IH0 N +PELETON P EH1 L AH0 T AO2 N +PELFREY P EH1 L F R IY0 +PELHAM P EH1 L AH0 M +PELICAN P EH1 L AH0 K AH0 N +PELICAN'S P EH1 L IH0 K AH0 N Z +PELICANS P EH1 L IH0 K AH0 N Z +PELIKAN P EH1 L IH0 K AE0 N +PELINO P EH0 L IY1 N OW0 +PELISSIER P EH1 L IH0 S IY0 ER0 +PELKA P EH1 L K AH0 +PELKEY P EH1 L K IY0 +PELKY P EH1 L K IY0 +PELL P EH1 L +PELL'S P EH1 L Z +PELLA P EH1 L AH0 +PELLAGRA P AH0 L AE1 G R AH0 +PELLAND P EH1 L AH0 N D +PELLE P EH1 L +PELLECCHIA P EH2 L EH1 K IY0 AH0 +PELLEGRIN P EH1 L IH0 G R IH0 N +PELLEGRINI P EH2 L EH0 G R IY1 N IY0 +PELLEGRINO P EH2 L EH0 G R IY1 N OW0 +PELLER P EH1 L ER0 +PELLERIN P EH1 L ER0 IH0 N +PELLERITO P EH0 L ER0 IY1 T OW0 +PELLET P EH1 L AH0 T +PELLETED P EH1 L AH0 T IH0 D +PELLETIER P EH0 L AH0 T IH1 R +PELLETS P EH1 L AH0 T S +PELLETT P EH1 L IH0 T +PELLEU P EH1 L UW0 +PELLEY P EH1 L IY0 +PELLICANE P EH1 L IH0 K EY2 N +PELLICANO P EH0 L IY0 K AA1 N OW0 +PELLMAN P EH1 L M AH0 N +PELLOW P EH1 L OW0 +PELLSTON P EH1 L S T AH0 N +PELLUM P EH1 L AH0 M +PELON P EH1 L AH0 N +PELOPONNESIAN P EH2 L AH0 P AH0 N IY1 ZH AH0 N +PELOQUIN P EY0 L OW0 K W IY1 N +PELOSI P EH0 L OW1 S IY0 +PELOSO P EH0 L OW1 S OW0 +PELOT P EH1 L AH0 T +PELPHREY P EH1 L F R IY0 +PELS P EH1 L Z +PELSTER P EH1 L S T ER0 +PELT P EH1 L T +PELTED P EH1 L T IH0 D +PELTIER P EH1 L T IY0 ER0 +PELTING P EH1 L T IH0 NG +PELTO P EH1 L T OW0 +PELTON P EH1 L T AH0 N +PELTS P EH1 L T S +PELTZ P EH1 L T S +PELTZER P EH1 L T Z ER0 +PELUSO P EH0 L UW1 S OW0 +PELVIC P EH1 L V IH0 K +PELVIS P EH1 L V AH0 S +PELZ P EH1 L Z +PELZEL P EH1 L Z AH0 L +PELZER P EH1 L Z ER0 +PEMBER P EH1 M B ER0 +PEMBERTON P EH1 M B ER0 T AH0 N +PEMBINA P EH1 M B IH0 N AH0 +PEMBLE P EH1 M B AH0 L +PEMBLETON P EH1 M B AH0 L T AA0 N +PEMBRIDGE P EH1 M B R IH2 JH +PEMBROKE P EH1 M B R OW2 K +PEMBROKE(2) P EH1 M B R UH0 K +PEMEX P EH1 M EH2 K S +PEMRICH P EH1 M R IH2 CH +PEN P EH1 N +PEN'S P EH1 N Z +PENA P EH1 N AH0 +PENA(2) P EY1 N Y AH0 +PENA'S P EH1 N AH0 Z +PENA'S(2) P EY1 N Y AH0 Z +PENAL P IY1 N AH0 L +PENALIZE P EH1 N AH0 L AY2 Z +PENALIZE(2) P IY1 N AH0 L AY2 Z +PENALIZED P IY1 N AH0 L AY2 Z D +PENALIZES P EH1 N AH0 L AY2 Z IH0 Z +PENALIZES(2) P IY1 N AH0 L AY2 Z IH0 Z +PENALIZING P IY1 N AH0 L AY2 Z IH0 NG +PENALOZA P EH0 N AA0 L OW1 Z AH0 +PENALTIES P EH1 N AH0 L T IY0 Z +PENALTY P EH1 N AH0 L T IY0 +PENANCE P EH1 N AH0 N S +PENANG P EH1 N AE0 NG +PENANS P EH1 N AH0 N Z +PENBERTHY P IH0 N B ER1 TH IY0 +PENCE P EH1 N S +PENCHANT P EH1 N CH AH0 N T +PENCIL P EH1 N S AH0 L +PENCILED P EH1 N S AH0 L D +PENCILS P EH1 N S AH0 L Z +PENDANT P EH1 N D AH0 N T +PENDARVIS P EH1 N D AA0 R V IH0 S +PENDELL P EH1 N D AH0 L +PENDELTON P IH0 N D EH1 L T AH0 N +PENDER P EH1 N D ER0 +PENDERGAST P EH1 N D ER0 G AE2 S T +PENDERGRAFT P EH1 N D ER0 G R AH0 F T +PENDERGRAPH P EH1 N D ER0 G R AE2 F +PENDERGRASS P EH1 N D ER0 G R AH0 S +PENDERGRAST P EH1 N D ER0 G R AH0 S T +PENDERS P EH1 N D ER0 Z +PENDING P EH1 N D IH0 NG +PENDLETON P EH1 N D AH0 L T AH0 N +PENDLEY P EH1 N D L IY0 +PENDOLA P EH0 N D OW1 L AH0 +PENDRIL P EH1 N D R IH0 L +PENDRIL'S P EH1 N D R IH0 L Z +PENDRY P EH1 N D R IY0 +PENDULOUS P EH1 N JH AH0 L AH0 S +PENDULUM P EH1 N JH AH0 L AH0 M +PENDYALA P EH2 D Y AA1 L AH0 +PENELAS P EH1 N AH0 L AA0 S +PENELOPE P AH0 N EH1 L AH0 P IY0 +PENETRATE P EH1 N AH0 T R EY2 T +PENETRATED P EH1 N AH0 T R EY2 T IH0 D +PENETRATES P EH1 N AH0 T R EY2 T S +PENETRATING P EH1 N AH0 T R EY2 T IH0 NG +PENETRATION P EH2 N AH0 T R EY1 SH AH0 N +PENETRATOR P EH1 N AH0 T R EY2 T ER0 +PENETRATORS P EH1 N AH0 T R EY2 T ER0 Z +PENFIELD P EH1 N F IY2 L D +PENFIL P EH1 N F IH0 L +PENFOLD P EH1 N F OW2 L D +PENG P EH1 NG +PENGASSAN P EH1 NG G AE2 S AH0 N +PENGELLY P EH1 NG G AH0 L IY0 +PENGO P EH1 NG G OW0 +PENGUIN P EH1 NG G W AH0 N +PENGUINS P EH1 NG G W AH0 N Z +PENH P EH1 N +PENH'S P EH1 N Z +PENICILLIN P EH2 N AH0 S IH1 L AH0 N +PENICILLINS P EH2 N AH0 S IH1 L AH0 N Z +PENICK P EH1 N IH0 K +PENIKESE P EH1 N IH0 K IY2 Z +PENILE P IY1 N AY0 L +PENINGER P EH1 N IH0 NG ER0 +PENINSULA P AH0 N IH1 N S AH0 L AH0 +PENINSULAR P AH0 N IH1 N S AH0 L ER0 +PENIS P IY1 N IH0 S +PENISES P IY1 N IH0 S IH0 Z +PENISTON P EH1 N IH0 S T AA0 N +PENITENT P EH1 N IH0 T IH0 N T +PENITENTIARIES P EH2 N IH0 T EH1 N CH ER0 IY0 Z +PENITENTIARY P EH2 N IH0 T EH1 N CH ER0 IY0 +PENIX P EH1 N IH0 K S +PENJA P EH1 N JH AH0 +PENJA'S P EH1 N JH AH0 Z +PENKALA P IH0 NG K AA1 L AH0 +PENKAVA P EH0 NG K AA1 V AH0 +PENLAND P EH1 N L AH0 N D +PENLEY P EH1 N L IY0 +PENMAN P EH1 N M AH0 N +PENN P EH1 N +PENN'S P EH1 N Z +PENN-HILLS P EH1 N HH IH0 L Z +PENNA P EH1 N AH0 +PENNA(2) P EH2 N S IH0 L V EY1 N Y AH0 +PENNACCHIO P EH0 N AA1 K IY0 OW0 +PENNANT P EH1 N AH0 N T +PENNANTS P EH1 N AH0 N T S +PENNBANCORP P EH1 N B AE1 N K AO2 R P +PENNCORP P EH1 N K AO2 R P +PENNE-PASTA P EH2 N EY0 P AA1 S T AH0 +PENNEBAKER P EH1 N IH0 B AH0 K ER0 +PENNEBAKER(2) P EH1 N IH0 B EY2 K ER0 +PENNED P EH1 N D +PENNEL P EH1 N AH0 L +PENNELL P EH1 N AH0 L +PENNELLA P EH2 N EH1 L AH0 +PENNER P EH1 N ER0 +PENNEX P EH1 N AH0 K S +PENNEY P EH1 N IY0 +PENNEY'S P EH1 N IY0 Z +PENNICK P EH1 N IH0 K +PENNIE P EH1 N IY0 +PENNIES P EH1 N IY0 Z +PENNILESS P 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N Z +PLANECON P L AE1 N AH0 K AA2 N +PLANECON(2) P L AE1 N K AA2 N +PLANED P L EY1 N D +PLANELOAD P L EY1 N L OW2 D +PLANELOADS P L EY1 N L OW2 D Z +PLANER P L EY1 N ER0 +PLANERS P L EY1 N ER0 Z +PLANES P L EY1 N Z +PLANES' P L EY1 N Z +PLANET P L AE1 N AH0 T +PLANET'S P L AE1 N AH0 T S +PLANETARIUM P L AE2 N AH0 T EH1 R IY0 AH0 M +PLANETARY P L AE1 N AH0 T EH2 R IY0 +PLANETS P L AE1 N AH0 T S +PLANITZER P L AE1 N IH0 T S ER0 +PLANK P L AE1 NG K +PLANKING P L AE1 NG K IH0 NG +PLANKS P L AE1 NG K S +PLANKTON P L AE1 NG K T AH0 N +PLANKTONIC P L AE0 NG K T AA1 N IH0 K +PLANNED P L AE1 N D +PLANNER P L AE1 N ER0 +PLANNER'S P L AE1 N ER0 Z +PLANNERS P L AE1 N ER0 Z +PLANNERS' P L AE1 N ER0 Z +PLANNING P L AE1 N IH0 NG +PLANO P L EY1 N OW0 +PLANS P L AE1 N Z +PLANS' P L AE1 N Z +PLANT P L AE1 N T +PLANT'S P L AE1 N T S +PLANTAIN P L AE1 N T AH0 N +PLANTAINS P L AE1 N T AH0 N Z +PLANTATION P L AE2 N T EY1 SH AH0 N +PLANTATIONS P L AE2 N T EY1 SH AH0 N Z +PLANTE P L AE1 N T +PLANTED P L AE1 N T IH0 D +PLANTER P L AE1 N T ER0 +PLANTERS P L AE1 N T ER0 Z +PLANTIFFS P L AE1 N T IH0 F S +PLANTING P L AE1 N T IH0 NG +PLANTINGS P L AE1 N T IH0 NG Z +PLANTLIKE P L AE1 N T L AY2 K +PLANTRONIC P L AE2 N T R AA1 N IH0 K +PLANTRONICS P L AE2 N T R AA1 N IH0 K S +PLANTS P L AE1 N T S +PLANTS' P L AE1 N T S +PLANTZ P L AE1 N T S +PLAQUE P L AE1 K +PLAQUES P L AE1 K S +PLAS P L AE1 S +PLASCENCIA P L AA0 S CH EH1 N CH AH0 +PLASENCIA P L AA0 S EH1 N CH AH0 +PLASKETT P L AE1 S K IH0 T +PLASMA P L AE1 Z M AH0 +PLASMINOGEN P L AE2 Z M IH1 N AH0 JH IH0 N +PLASMODIA P L AE0 Z M OW1 D IY0 AH0 +PLASMODIUM P L AE0 Z M OW1 D IY0 AH0 M +PLASS P L AE1 S +PLASSARD P L AE1 S ER0 D +PLASSE P L AE1 S +PLASTER P L AE1 S T ER0 +PLASTERBOARD P L AE1 S T ER0 B AO2 R D +PLASTERED P L AE1 S T ER0 D +PLASTERER P L AE1 S T ER0 ER0 +PLASTERING P L AE1 S T ER0 IH0 NG +PLASTERS P L AE1 S T ER0 Z +PLASTERWORK P L AE1 S T ER0 W ER2 K +PLASTIC P L AE1 S T IH0 K +PLASTICINE P L AE1 S T IH0 S IY2 N +PLASTICIZER P L AE1 S T AH0 S AY2 Z ER0 +PLASTICS P L AE1 S T IH0 K S +PLATA P L AA1 T AH0 +PLATE P L EY1 T +PLATEAU P L AE0 T OW1 +PLATEAUED P L AE0 T OW1 D +PLATEAUING P L AH0 T OW1 IH0 NG +PLATED P L EY1 T IH0 D +PLATEK P L AA1 T EH0 K +PLATELET P L EY1 T L AH0 T +PLATELETS P L EY1 T L AH0 T S +PLATELIKE P L EY1 T L AY2 K +PLATEN P L AE1 T AH0 N +PLATER P L EY1 T ER0 +PLATES P L EY1 T S +PLATFORM P L AE1 T F AO2 R M +PLATFORM'S P L AE1 T F AO2 R M Z +PLATFORMS P L AE1 T F AO2 R M Z +PLATH P L AE1 TH +PLATING P L EY1 T IH0 NG +PLATINUM P L AE1 T N AH0 M +PLATINUM(2) P L AE1 T AH0 N AH0 M +PLATINUM'S P L AE1 T AH0 N AH0 M Z +PLATINUM'S(2) P L AE1 T N AH0 M Z +PLATITUDE P L AE1 T IH0 T UW2 D +PLATITUDES P L AE1 T IH0 T UW2 D Z +PLATNER P L AE1 T N ER0 +PLATO P L EY1 T OW0 +PLATO'S P L EY1 T OW0 Z +PLATONA P L AA0 T OW1 N AH0 +PLATONIC P L AH0 T AA1 N IH0 K +PLATONIST P L EY1 T AH0 N AH0 S T +PLATONISTS P L EY1 T AH0 N AH0 S T S +PLATOON P L AH0 T UW1 N +PLATOONS P L AH0 T UW1 N Z +PLATT P L AE1 T +PLATTE P L AE1 T +PLATTEN P L AE1 T AH0 N +PLATTER P L AE1 T ER0 +PLATTERS P L AE1 T ER0 Z +PLATTNER P L AE1 T N ER0 +PLATTS P L AE1 T S +PLATTSBURGH P L AE1 T S B ER0 G +PLATY P L EY1 T IY0 +PLATYPUS P L AE1 T AH0 P UH2 S +PLATZ P L AE1 T S +PLATZER P L EY1 T Z ER0 +PLAUCHE P L AO1 CH +PLAUDIT P L AO1 D IH0 T +PLAUDITS P L AO1 D IH0 T S +PLAUGHER P L AO1 ER0 +PLAUSIBILITY P L AO2 Z IH0 B IH1 L IH0 T IY0 +PLAUSIBLE P L AO1 Z AH0 B AH0 L +PLAUSIBLY P L AO1 Z AH0 B L IY0 +PLAUT P L AO1 T +PLAUTUS P L AW1 T AH0 S +PLAUTZ P L AO1 T S +PLAVSIC P L AE1 V S IH0 K +PLAVSIC'S P L AE1 V S IH0 K S +PLAX P L AE1 K S +PLAY P L EY1 +PLAY'S P L EY1 Z +PLAYA P L AY1 AH0 +PLAYBACK P L EY1 B AE2 K +PLAYBOOK P L EY1 B UH0 K +PLAYBOY P L EY1 B OY2 +PLAYBOY'S P L EY1 B OY2 Z +PLAYCOUNT P L EY1 K AW2 N T +PLAYED P L EY1 D +PLAYER P L EY1 ER0 +PLAYER'S P L EY1 ER0 Z +PLAYERS P L EY1 ER0 Z +PLAYERS' P L EY1 ER0 Z +PLAYFORD P L EY1 F ER0 D +PLAYFUL P L EY1 F AH0 L +PLAYFULLY P L EY1 F AH0 L IY0 +PLAYFULNESS P L EY1 F AH0 L N AH0 S +PLAYGROUND P L EY1 G R AW2 N D +PLAYGROUND(2) P L EY1 G R AW2 N +PLAYGROUNDS P L EY1 G R AW2 N D Z +PLAYGROUNDS(2) P L EY1 G R AW2 N Z +PLAYHOUSE P L EY1 HH AW2 S +PLAYHOUSES P L EY1 HH AW2 S IH0 Z +PLAYIN' P L EY1 IH0 N +PLAYING P L EY1 IH0 NG +PLAYLIST P L EY1 L IH0 S T +PLAYLISTS P L EY1 L IH0 S T S +PLAYMATE P L EY1 M EY2 T +PLAYMATES P L EY1 M EY2 T S +PLAYOFF P L EY1 AO2 F +PLAYOFFS P L EY1 AO2 F S +PLAYPEN P L EY1 P EH2 N +PLAYPENS P L EY1 P EH2 N Z +PLAYROOM P L EY1 R UW2 M +PLAYROOMS P L EY1 R UW2 M Z +PLAYS P L EY1 Z +PLAYSTATION P L EY1 S T EY2 SH AH0 N +PLAYSTATIONS P L EY1 S T EY2 SH AH0 N Z +PLAYTEX P L EY1 T EH2 K S +PLAYTHING P L EY1 TH IH2 NG +PLAYTHINGS P L EY1 TH IH2 NG Z +PLAYWRIGHT P L EY1 R AY2 T +PLAYWRIGHT'S P L EY1 R AY2 T S +PLAYWRIGHTS P L EY1 R AY2 T S +PLAZA P L AA1 Z AH0 +PLAZA(2) P L AE1 Z AH0 +PLAZA'S P L AA1 Z AH0 Z +PLAZA'S(2) P L AE1 Z AH0 Z +PLAZAS P L AA1 Z AH0 Z +PLAZAS(2) P L AE1 Z AH0 Z +PLAZIC P L EY1 Z IH0 K +PLEA P L IY1 +PLEAD 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IY1 AH0 D IY2 Z +PLEIADS P L IY1 AH0 D Z +PLEIN P L IY1 N +PLEISTOCENE P L AY1 S T AH0 S IY2 N +PLEMMONS P L EH1 M AH0 N Z +PLEMONS P L EH1 M AH0 N Z +PLENARY P L EH1 N ER0 IY0 +PLENARY(2) P L IY1 N ER0 IY0 +PLENET P L EH1 N IH0 T +PLENMEER P L EH0 N M IH1 R +PLENTIFUL P L EH1 N T AH0 F AH0 L +PLENTIFUL(2) P L EH1 N T IH0 F AH0 L +PLENTIFUL(3) P L EH1 N AH0 F AH0 L +PLENTIFUL(4) P L EH1 N IH0 F AH0 L +PLENTY P L EH1 N T IY0 +PLENTY(2) P L EH1 N IY0 +PLENUM P L EH1 N AH0 M +PLENUM'S P L EH1 N AH0 M Z +PLEOMORPHIC P L IY2 AH0 M AO1 F IH0 K +PLEOMORPHISM P L IY2 AH0 M AO1 F IH0 Z M +PLEONASM P L IY1 AH0 N AE2 Z M +PLESCIA P L EY1 SH Y AH0 +PLESE P L IY1 Z +PLESHAR P L EH1 SH AA2 R +PLESKOW P L EH1 S K AW0 +PLESS P L EH1 S +PLESSEY P L EH1 S IY0 +PLESSEY'S P L EH1 S IY0 Z +PLESSINGER P L EH1 S IH0 NG ER0 +PLESSIS P L EH1 S IH0 S +PLESSY P L EH1 S IY0 +PLETCHER P L EH1 CH ER0 +PLETHORA P L EH1 TH ER0 AH0 +PLETHORA(2) P L AH0 TH AO1 R AH0 +PLETSCHER P L EH1 CH ER0 +PLETT P L EH1 T +PLETZ P L EH1 T S +PLEURAL P L UH1 R AH0 L +PLEURISY P L UH1 R AH0 S IY0 +PLEURITIDES P L UH2 R IH1 D AH0 T IY2 Z +PLEURITIS P L UH2 R AY1 T AH0 S +PLEURITIS(2) P L IY2 Y AH0 R AY1 T AH0 S +PLEVA P L EY1 V AH0 +PLEW P L UW1 +PLEWA P L UW1 AH0 +PLEX P L EH1 K S +PLEXIGLAS P L EH1 K S IH0 G L AE2 S +PLEXIGLAS(2) P L EH1 K S IY0 G L AE2 S +PLEXIGLASS P L EH1 K S IH0 G L AE2 S +PLEXIGLASS(2) P L EH1 K S IY0 G L AE2 S +PLEXUS P L EH1 K S AH0 S +PLIABLE P L AY1 AH0 B AH0 L +PLIANT P L AY1 AH0 N T +PLICHTA P L IH1 CH T AH0 +PLIED P L AY1 D +PLIER P L AY1 ER0 +PLIERS P L AY1 ER0 Z +PLIES P L AY1 Z +PLIGHT P L AY1 T +PLILER P L AY1 L ER0 +PLIMPTON P L IH1 M P T AH0 N +PLINIUS P L IH1 N IY0 AH0 S +PLINK P L IH1 NG K +PLINKING P L IH1 NG K IH0 NG +PLINTH P L IH1 N TH +PLINY P L IH1 N IY0 +PLIOCENE P L AY1 AH0 S IY2 N +PLISETSKAYA P L IH2 S AH0 T S K AY1 AH0 +PLISKA P L IH1 S K AH0 +PLITT P L IH1 T +PLOCAR P L OW1 K AA0 R +PLOCEK P L OW1 CH EH2 K +PLOCH P L AA1 K +PLOCHER P L AA1 K ER0 +PLOCK P L AA1 K 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IY0 AE2 K +PONTIAC(2) P AA1 N IY0 AE2 K +PONTIAC'S P AA1 N T IY0 AE2 K S +PONTIAC'S(2) P AA1 N IY0 AE2 K S +PONTIACS P AA1 N T IY0 AE2 K S +PONTIACS(2) P AA1 N IY0 AE2 K S +PONTIFF P AA1 N T AH0 F +PONTIFF(2) P AA1 N T IH0 F +PONTIFF'S P AA1 N T AH0 F S +PONTIFICAL P AA0 N T IH1 F AH0 K AH0 L +PONTIFICATE P AA0 N T IH1 F AH0 K EY2 T +PONTIFICATED P AA0 N T IH1 F AH0 K EY2 T IH0 D +PONTIFICATER P AA0 N T IH1 F AH0 K EY2 T ER0 +PONTIFICATERS P AA0 N T IH1 F AH0 K EY2 T ER0 Z +PONTIFICATES P AA0 N T IH1 F AH0 K EY2 T S +PONTIFICATING P AA0 N T IH1 F AH0 K EY2 T IH0 NG +PONTIFICATION P AA0 N T IH2 F AH0 K EY1 SH AH0 N +PONTIFICATIONS P AA0 N T IH2 F AH0 K EY1 SH AH0 N Z +PONTIKES P AA2 N T IY1 K EH2 Z +PONTILLO P OW0 N T IH1 L OW0 +PONTIOUS P OW1 N SH IH0 S +PONTIUS P AA1 N T IY2 IH0 S +PONTO P AA1 N T OW2 +PONTON P AA1 N T AH0 N +PONTOON P AA0 N T UW1 N +PONTOONS P AA2 N T UW1 N Z +PONTS P AA1 N T S +PONY P OW1 N IY2 +PONYTAIL P OW1 N IY0 T EY2 L +PONZETTI P AA0 N Z EH1 T IY0 +PONZI P AA1 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+PREDICTS P R IH0 D IH1 K T S +PREDICTS(2) P R IY0 D IH1 K T S +PREDICTS(3) P R IH0 D IH1 K S +PREDICTS(4) P R IY0 D IH1 K S +PREDILECTION P R EH2 D AH0 L EH1 K SH AH0 N +PREDILECTIONS P R EH2 D AH0 L EH1 K SH AH0 N Z +PREDISPOSE P R IY2 D IH0 S P OW1 Z +PREDISPOSED P R IY2 D IH0 S P OW1 Z D +PREDISPOSING P R IY2 D IH0 S P OW1 Z IH0 NG +PREDISPOSITION P R IY2 D IH0 S P AH0 Z IH1 SH AH0 N +PREDISPOSITIONS P R IY2 D IH0 S P AH0 Z IH1 SH AH0 N Z +PREDMORE P R EH1 D M AO0 R +PREDOMINANCE P R IH0 D AA1 M AH0 N AH0 N S +PREDOMINANT P R IH0 D AA1 M AH0 N AH0 N T +PREDOMINANTLY P R IH2 D AA1 M AH0 N AH0 N T L IY2 +PREDOMINATE P R IH0 D AA1 M AH0 N EY2 T +PREDOMINATE(2) P R IH0 D AA1 M AH0 N AH0 T +PREDOMINATED P R IH0 D AA1 M AH0 N EY2 T IH0 D +PREDOMINATELY P R IH2 D AA1 M AH0 N AH0 N T L IY2 +PREDOMINATES P R IH0 D AA1 M AH0 N EY2 T S +PREDOMINATING P R IH0 D AA1 M AH0 N EY2 T IH0 NG +PREE P R IY1 +PREECE P R IY1 S +PREELECTION P R IY0 IH0 L EH1 K SH AH0 N +PREEMINENCE P R IY0 EH1 M AH0 N AH0 N S +PREEMINENT P R IY0 EH1 M AH0 N AH0 N T +PREEMPT P R IY1 EH2 M P T +PREEMPTED P R IY0 EH1 M P T IH0 D +PREEMPTING P R IY0 EH1 M P T IH0 NG +PREEMPTION P R IY2 EH1 M P SH AH0 N +PREEMPTIVE P R IY0 EH1 M P T IH0 V +PREEMPTIVELY P R IY0 EH1 M P T IH0 V L IY0 +PREEMPTS P R IY1 EH2 M P T S +PREEN P R IY1 N +PREENED P R IY1 N D +PREENING P R IY1 N IH0 NG +PREEXIST P R IY1 IH0 G Z IH1 S T +PREEXISTED P R IY1 IH0 G Z IH1 S T IH0 D +PREEXISTING P R IY1 IH0 G Z IH1 S T IH0 NG +PREEXISTS P R IY1 IH0 G Z IH1 S T S +PREFAB P R IY1 F AE1 B +PREFABRICATE P R IY0 F AE1 B R IH0 K EY2 T +PREFABRICATED P R IY0 F AE1 B R IH0 K EY2 T IH0 D +PREFABRICATION P R IY2 F AE2 B R AH0 K EY1 SH AH0 N +PREFABS P R IY1 F AE1 B Z +PREFACE P R EH1 F AH0 S +PREFACED P R EH1 F AH0 S T +PREFECT P R IY1 F EH2 K T +PREFECTURAL P R IY0 F EH1 K CH ER0 AH0 L +PREFECTURE P R IY1 F EH2 K CH ER0 +PREFER P R AH0 F ER1 +PREFER(2) P R IH0 F ER1 +PREFER(3) P R IY0 F ER1 +PREFERABLE P R EH1 F ER0 AH0 B AH0 L +PREFERABLE(2) P R 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AH0 T S +PREROGATIVE P R IH0 R AA1 G AH0 T IH0 V +PREROGATIVE(2) P ER1 AA1 G AH0 T IH0 V +PREROGATIVES P R IH0 R AA1 G AH0 T IH0 V Z +PREROGATIVES(2) P ER1 AA1 G AH0 T IH0 V Z +PRES P R EH1 Z +PRESAGE P R EH1 S IH0 JH +PRESAGED P R EH1 S IH0 JH D +PRESAGES P R EH1 S IH0 JH IH0 Z +PRESAGING P R EH1 S IH0 JH IH0 NG +PRESALE P R IY1 S EY2 L +PRESARIO P R IH0 S AA1 R IY0 OW2 +PRESBY P R EH1 S B IY0 +PRESBY(2) P R EH1 Z B IY0 +PRESBYTERIAN P R EH2 S B IH0 T IH1 R IY0 AH0 N +PRESBYTERIAN(2) P R EH2 Z B IH0 T IH1 R IY0 AH0 N +PRESBYTERIANS P R EH2 S B IH0 T IH1 R IY0 AH0 N Z +PRESBYTERIANS(2) P R EH2 Z B IH0 T IH1 R IY0 AH0 N Z +PRESCHEL P R EH1 SH AH0 L +PRESCHER P R EH1 SH ER0 +PRESCHOOL P R IY0 S K UW1 L +PRESCHOOL(2) P R IY1 S K UW2 L +PRESCHOOLER P R IY1 S K UW2 L ER0 +PRESCHOOLERS P R IY1 S K UW2 L ER0 Z +PRESCHOOLS P R IY0 S K UW1 L Z +PRESCHOOLS(2) P R IY1 S K UW2 L Z +PRESCIENCE P R IY1 SH IY0 AH0 N S +PRESCIENT P R EH1 S IY0 AH0 N T +PRESCOT P R EH1 S K AH0 T +PRESCOTT P R EH1 S K AA0 T +PRESCRIBE P R AH0 S K R AY1 B +PRESCRIBE(2) P R IY0 S K R AY1 B +PRESCRIBED P R IY0 S K R AY1 B D +PRESCRIBER P R IY0 S K R AY1 B ER0 +PRESCRIBERS P R IY0 S K R AY1 B ER0 Z +PRESCRIBES P R IY0 S K R AY1 B Z +PRESCRIBING P R IY0 S K R AY1 B IH0 NG +PRESCRIPTION P R AH0 S K R IH1 P SH AH0 N +PRESCRIPTIONS P R AH0 S K R IH1 P SH AH0 N Z +PRESEASON P R IY2 S IY1 Z AH0 N +PRESENCE P R EH1 Z AH0 N S +PRESENCES P R EH1 Z AH0 N S IH0 Z +PRESENT P R EH1 Z AH0 N T +PRESENT(2) P R IY0 Z EH1 N T +PRESENT(3) P ER0 Z EH1 N T +PRESENTABLE P R AH0 Z EH1 N T AH0 B AH0 L +PRESENTATION P R EH2 Z AH0 N T EY1 SH AH0 N +PRESENTATIONS P R EH2 Z AH0 N T EY1 SH AH0 N Z +PRESENTED P R IY0 Z EH1 N T IH0 D +PRESENTED(2) P ER0 Z EH1 N T AH0 D +PRESENTED(3) P R IY0 Z EH1 N AH0 D +PRESENTED(4) P ER0 Z EH1 N AH0 D +PRESENTER P R EH1 Z AH0 N T ER0 +PRESENTER(2) P R IY0 Z EH1 N T ER0 +PRESENTERS P R EH1 Z AH0 N T ER0 Z +PRESENTERS(2) P R IY0 Z EH1 N T ER0 Z +PRESENTING P R IH0 Z EH1 N T IH0 NG +PRESENTING(2) P R 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IY0 +PRESLEY'S P R EH1 S L IY0 Z +PRESNALL P R EH1 S N AH0 L +PRESNELL P R EH1 S N AH0 L +PRESPLIT P R IY1 S P L IH1 T +PRESQUE-ISLE P R EH1 S K AY0 L +PRESS P R EH1 S +PRESS' P R EH1 S +PRESS'S P R EH1 S IH0 Z +PRESSBOARD P R EH1 S B AO2 R D +PRESSBURGER P R EH1 S B ER0 G ER0 +PRESSE P R EH1 S +PRESSED P R EH1 S T +PRESSEL P R EH1 S AH0 L +PRESSER P R EH1 S ER0 +PRESSER'S P R EH1 S ER0 Z +PRESSES P R EH1 S AH0 Z +PRESSES(2) P R EH1 S IH0 Z +PRESSEY P R EH1 S IY0 +PRESSING P R EH1 S IH0 NG +PRESSLER P R EH1 S L ER0 +PRESSLEY P R EH1 S L IY0 +PRESSLY P R EH1 S L IY0 +PRESSMAN P R EH1 S M AH0 N +PRESSNELL P R EH1 S N AH0 L +PRESSON P R EH1 S AH0 N +PRESSTEK P R EH1 S T EH2 K +PRESSURE P R EH1 SH ER0 +PRESSURE'S P R EH1 SH ER0 Z +PRESSURED P R EH1 SH ER0 D +PRESSURES P R EH1 SH ER0 Z +PRESSURING P R EH1 SH ER0 IH0 NG +PRESSURIZATION P R EH2 SH ER0 IH0 Z EY1 SH AH0 N +PRESSURIZE P R EH1 SH ER0 AY2 Z +PRESSURIZED P R EH1 SH ER0 AY2 Z D +PRESSURIZES P R EH1 SH ER0 AY2 Z IH0 Z +PRESSURIZING P 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K Y UW1 +Q.'S K Y UW1 Z +Q.S K Y UW1 Z +QAEDA K AY1 D AA0 +QANA K AA1 N AH0 +QANTAS K AE1 N T AH0 S +QANTAS(2) K AA1 N T AH0 S +QASR K EY1 Z ER0 +QASR(2) K Y UW1 EY1 EH1 S AA1 R +QATAR K AH2 T AA1 R +QAWI K AA1 W IY0 +QI K IY1 +QIAN K IY1 AA2 N +QIAN(2) JH IH1 N +QIAO K IY2 AW1 +QIAOTOU K IY2 AW1 T UW2 +QICHEN K IY1 CH EH2 N +QIN K IH1 N +QING K IH1 NG +QINGDAO CH IH1 NG D AW1 +QINGMING K IH1 NG M IH1 NG +QINTEX K IH1 N T EH2 K S +QIRYAT K IH0 R Y AA1 T +QMAX K Y UW1 M AE2 K S +QOM K AA1 M +QU K UW1 +QUA K W AA1 +QUACH K W AA1 CH +QUACK K W AE1 K +QUACKENBUSH K W AE1 K AH0 N B UH2 SH +QUACKERY K W AE1 K ER0 IY0 +QUACKS K W AE1 K S +QUAD K W AA1 D +QUADE K W EY1 D +QUADRA K W AE1 D R AH0 +QUADRANT K W AA1 D R AH0 N T +QUADRATIC K W AA0 D R AA1 T IH0 K +QUADRENNIAL K W AA0 D R EH1 N IY0 AH0 L +QUADREX K W AA1 D R EH0 K S +QUADRICEPS K W AA1 D R AH0 S EH2 P S +QUADRIPLEGIC K W AA2 D R AH0 P L IY1 JH IH0 K +QUADRUPLE K W AA0 D R UW1 P AH0 L +QUADRUPLED K W AA0 D R UW1 P AH0 L D 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K IY1 SH +QUICK K W IH1 K +QUICKEL K W IH1 K AH0 L +QUICKEN K W IH1 K AH0 N +QUICKENED K W IH1 K AH0 N D +QUICKENING K W IH1 K AH0 N IH0 NG +QUICKENS K W IH1 K AH0 N Z +QUICKER K W IH1 K ER0 +QUICKEST K W IH1 K IH0 S T +QUICKIE K W IH1 K IY0 +QUICKLY K W IH1 K L IY0 +QUICKNESS K W IH1 K N AH0 S +QUICKSAND K W IH1 K S AE2 N D +QUICKSANDS K W IH1 K S AE2 N D Z +QUICKSILVER K W IH1 K S IH1 L V ER0 +QUICKTIME K W IH1 K T AY2 M +QUID K W IH1 D +QUIESCENT K W AY0 EH1 S AH0 N T +QUIET K W AY1 AH0 T +QUIETED K W AY1 AH0 T IH0 D +QUIETER K W AY1 AH0 T ER0 +QUIETEST K W AY1 AH0 T AH0 S T +QUIETING K W AY1 AH0 T IH0 NG +QUIETIST K W AY1 AH0 T AH0 S T +QUIETLY K W AY1 AH0 T L IY0 +QUIETNESS K W AY1 AH0 T N AH0 S +QUIETS K W AY1 AH0 T S +QUIETT K W IY1 T +QUIEVONI K W IH0 V AO1 N IY0 +QUIGG K W IH1 G +QUIGGLE K W IH1 G AH0 L +QUIGLEY K W IH1 G L IY0 +QUIJADA K W IY0 Y AA1 D AH0 +QUIJANO K W IY0 Y AA1 N OW0 +QUIK K W IH1 K +QUIKSILVER K W IH1 K S IH1 L V ER0 +QUILALI K W IH0 L AA1 L IY0 +QUILES K W IY1 L EH0 S +QUILICI K W IY0 L IY1 CH IY0 +QUILL K W IH1 L +QUILLAN K W IH1 L AH0 N +QUILLEN K W IH1 L AH0 N +QUILLIAN K W IH1 L Y AH0 N +QUILLIN K W IH1 L IH0 N +QUILLING K W IH1 L IH0 NG +QUILLMAN K W IY0 L M AE1 N +QUILLON K W IH1 L AH0 N +QUILMES K W IH1 L M Z +QUILT K W IH1 L T +QUILTED K W IH1 L T IH0 D +QUILTER K W IH1 L T ER0 +QUILTERS K W IH1 L T ER0 Z +QUILTING K W IH1 L T IH0 NG +QUILTS K W IH1 L T S +QUILTY K W IH1 L T IY0 +QUIMBY K W IH1 M B IY0 +QUIN K W IH1 N +QUINA K W IY1 N AH0 +QUINA'S K W IY1 N AH0 Z +QUINBY K W IH1 N B IY0 +QUINCE K W IH1 N S +QUINCEY K W IH1 N S IY0 +QUINCY K W IH1 N S IY0 +QUINCY'S K W IH1 N S IY0 Z +QUINDLEN K W IH1 N D L AH0 N +QUINE K W AY1 N +QUININE K W AY1 N AY2 N +QUINLAN K W IH1 N L AH0 N +QUINLEY K W IH1 N L IY0 +QUINLIN K W IH1 N L IH0 N +QUINLIVAN K W IH1 N L IH0 V AH0 N +QUINN K W IH1 N +QUINN'S K W IH1 N Z +QUINNELL K W IH1 N AH0 L +QUINNEY K W IH1 N IY0 +QUINOA K IY2 N OW1 AH0 +QUINOBEQUIN K W IH2 N OW1 B IH0 K W IH0 N +QUINOCO K W 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K W IH1 P +QUIPP K W IH1 P +QUIPPED K W IH1 P T +QUIPS K W IH1 P S +QUIPSTER K W IH1 P S T ER0 +QUIRAM K W IY1 R AH0 M +QUIRE K W AY1 R +QUIRIN K W IH1 R IH0 N +QUIRING K W AY1 R IH0 NG +QUIRION K W IH1 R IY0 AH0 N +QUIRK K W ER1 K +QUIRKE K W ER1 K +QUIRKS K W ER1 K S +QUIRKY K W ER1 K IY0 +QUIROGA K W IH0 R OW1 G AH0 +QUIROS K W IH1 R OW0 Z +QUIROZ K W IH1 R OW0 Z +QUIRY K W AY1 R IY0 +QUISENBERRY K W AY1 Z AH0 N B EH0 R IY0 +QUISLING K W IH1 Z L IH0 NG +QUIST K W IH1 S T +QUIST'S K W IH1 S T S +QUIT K W IH1 T +QUITE K W AY1 T +QUITO K W IY1 T OW0 +QUITO(2) K IY1 T OW0 +QUITO(3) K IY1 T OW2 +QUITO'S K W IY1 T OW0 Z +QUITO'S(2) K IY1 T OW0 Z +QUITO'S(3) K IY1 T OW2 Z +QUITS K W IH1 T S +QUITTER K W IH1 T ER0 +QUITTERS K W IH1 T ER0 Z +QUITTING K W IH1 T IH0 NG +QUIVER K W IH1 V ER0 +QUIVERING K W IH1 V ER0 IH0 NG +QUIXOTE K IY0 HH OW1 T IY0 +QUIXOTIC K W IH0 K S AA1 T IH0 K +QUIZ K W IH1 Z +QUIZARD K W IH1 Z ER0 D +QUIZZED K W IH1 Z D +QUIZZES K W IH1 Z IH0 Z +QUIZZICAL K W IH1 Z AH0 K AH0 L +QUIZZING K W IH1 Z IH0 NG +QUO K W OW1 +QUOD K W AO1 D +QUOIN K W OY1 N +QUON K W AA1 N +QUORA K W AO1 R AH0 +QUORUM K W AO1 R AH0 M +QUORUMS K W AO1 R AH0 M Z +QUOTA K W OW1 T AH0 +QUOTABLE K W OW1 T AH0 B AH0 L +QUOTAS K W OW1 T AH0 Z +QUOTATION K W OW0 T EY1 SH AH0 N +QUOTATIONS K W OW0 T EY1 SH AH0 N Z +QUOTE K W OW1 T +QUOTED K W OW1 T IH0 D +QUOTES K W OW1 T S +QUOTH K W OW1 TH +QUOTIENT K W OW1 SH AH0 N T +QUOTING K W OW1 T IH0 NG +QUOTRON K W OW1 T R AA0 N +QUOTRON'S K W OW1 T R AA0 N Z +QURESHEY K UH0 R EY1 SH EY0 +QURESHI K UH0 R EY1 SH IY0 +R AA1 R +R'S AA1 R Z +R. AA1 R +R.'S AA1 R Z +R.S AA1 R Z +RA R AA1 +RAAB R AA1 B +RAAB'S R AA1 B Z +RAABE R AA1 B +RAAD R AA1 D +RAAP R AA1 P +RAASCH R AA1 SH +RAATZ R AA1 T S +RAB R AE1 B +RABAGO R AA0 B AA1 G OW0 +RABALAIS R AE1 B AH0 L EY2 +RABB R AE1 B +RABBANI R AH0 B AE1 N IY0 +RABBANI(2) R AH0 B AA1 N IY0 +RABBI R AE1 B AY2 +RABBINIC R AH0 B IH1 N IH0 K +RABBINICAL R AH0 B IH1 N IH0 K AH0 L +RABBIS R AE1 B AY2 Z +RABBIT R AE1 B AH0 T +RABBIT(2) R AE1 B IH0 T +RABBITEARS R AE1 B IH0 T IY1 R Z +RABBITLIKE R AE1 B AH0 T L AY2 K +RABBITS R AE1 B AH0 T S +RABBITT R AE1 B IH0 T +RABBLE R AE1 B AH0 L +RABE R EY1 B +RABEL R AE1 B AH0 L +RABEN R AE1 B AH0 N +RABENOLD R AE1 B IH0 N OW2 L D +RABER R EY1 B ER0 +RABES R EY1 B IY0 Z +RABEY R EY1 B IY0 +RABI R AA1 B IY0 +RABID R AE1 B IH0 D +RABID(2) R EY1 B IH0 D +RABIDEAU R AE1 B IH0 D OW2 +RABIES R EY1 B IY0 Z +RABIN R AA2 B IY1 N +RABIN'S R AA2 B IY1 N Z +RABINE R AH0 B IY1 N +RABINER R AH0 B IY1 N ER0 +RABINOVICH R AH0 B IH1 N AH0 V IH0 CH +RABINOVITZ R AH0 B IH1 N AH0 V IH0 T S +RABINOWITZ R AH0 B IH1 N AH0 W IH0 T S +RABKIN R AE1 B K IH0 N +RABOBANK R AA1 B OW0 B AE2 NG K +RABOIN R AH0 B OY1 N +RABOLD R AE1 B OW0 L D +RABON R AA0 B AO1 N +RABORN R AE1 B ER0 N +RABOURN R AH0 B UH1 R N +RABOY R AE1 B OY0 +RABUCK R AE1 B AH0 K +RABUKA R AH0 B UW1 K AH0 +RABUN R AE1 B AH0 N +RABURN R AE1 B ER0 N +RABY R EY1 B IY0 +RACAL R AE1 K AH0 L +RACAMIER R AE1 K AH0 M AY2 R +RACAMIER(2) R AH0 K EY1 M Y ER0 +RACANELLI R AA0 K AA0 N EH1 L IY0 +RACCA R AE1 K AH0 +RACCOON R AE0 K UW1 N +RACCOONS R AE0 K UW1 N Z +RACE R EY1 S +RACE'S R EY1 S IH0 Z +RACED R EY1 S T +RACEHORSE R EY1 S HH AO2 R S +RACEHORSES R AE1 S HH AO2 R S IH0 Z +RACEMAN R EY1 S M AH0 N +RACEMES R EY0 S IY1 M Z +RACER R EY1 S ER0 +RACERS R EY1 S ER0 Z +RACES R EY1 S AH0 Z +RACES(2) R EY1 S IH0 Z +RACETRACK R EY1 S T R AE2 K +RACETRACKS R EY1 S T R AE2 K S +RACETTE R AH0 S EH1 T +RACEWAY R EY1 S W EY2 +RACEY R EY1 S IY0 +RACH R AE1 CH +RACHAD R AH0 SH AA1 D +RACHAEL R EY1 CH AH0 L +RACHAL R AE1 K AH0 L +RACHEL R EY1 CH AH0 L +RACHEL'S R EY1 CH AH0 L Z +RACHELLE R AH0 SH EH1 L +RACHELS R EY1 CH IH0 L Z +RACHELVOLT R AH0 SH EH1 L V AO2 L T +RACHFORD R AE1 CH F ER0 D +RACHI R AH1 SH IY0 +RACHLIN R AE1 K L IH0 N +RACHMANINOFF R AE0 K M AE1 N IH0 N AO0 F +RACIAL R EY1 SH AH0 L +RACIALISM R EY1 SH AH0 L IH2 Z AH0 M +RACIALLY R EY1 SH AH0 L IY0 +RACICOT R AE1 S IH0 K AA0 T +RACIER R EY1 S IY0 ER0 +RACIEST R EY1 S IY0 AH0 S T +RACINE R AH0 S IY1 N +RACINESS R EY1 S IY0 N AH0 S +RACING R EY1 S IH0 NG +RACING'S R EY1 S IH0 NG Z +RACIOPPI R AA0 CH OW1 P IY0 +RACISM R EY1 S IH2 Z AH0 M +RACIST R EY1 S IH0 S T +RACISTS R EY1 S IH0 S T S +RACK R AE1 K +RACKED R AE1 K T +RACKER R AE1 K ER0 +RACKERS R AE1 K ER0 Z +RACKET R AE1 K IH0 T +RACKETEER R AE2 K IH0 T IH1 R +RACKETEERING R AE2 K IH0 T IH1 R IH0 NG +RACKETEERS R AE2 K AH0 T IH1 R Z +RACKETS R AE1 K AH0 T S +RACKING R AE1 K IH0 NG +RACKLEY R AE1 K L IY0 +RACKLIFF R AE1 K L IH0 F +RACKLIFFE R AE1 K L IH0 F +RACKMIL R AE1 K M IH0 L 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+RADER R EY1 D ER0 +RADERMACHER R AE1 D ER0 M AH0 K ER0 +RADFORD R AE1 D F ER0 D +RADHA R AA1 D AH0 +RADI R AA1 D IY0 +RADIAL R EY1 D IY0 AH0 L +RADIALLY R EY1 D IY0 AH0 L IY0 +RADIALS R EY1 D IY0 AH0 L Z +RADIANCE R EY1 D IY2 AH0 N S +RADIANCE(2) R EY1 D Y AH0 N S +RADIANT R EY1 D IY2 AH0 N T +RADIANT(2) R EY1 D Y AH0 N T +RADIATE R EY1 D IY0 AH0 T +RADIATE(2) R EY1 D IY0 EY2 T +RADIATED R EY1 D IY0 EY2 T IH0 D +RADIATES R EY1 D IY0 EY2 T S +RADIATING R EY1 D IY0 EY2 T IH0 NG +RADIATION R EY2 D IY0 EY1 SH AH0 N +RADIATION'S R EY2 D IY0 EY1 SH AH0 N Z +RADIATOR R EY1 D IY0 EY2 T ER0 +RADIATORS R EY1 D IY0 EY2 T ER0 Z +RADICAL R AE1 D AH0 K AH0 L +RADICAL(2) R AE1 D IH0 K AH0 L +RADICALISM R AE1 D IH0 K AH0 L IH2 Z AH0 M +RADICALIZATION R AE2 D IH0 K AH0 L IH0 Z EY1 SH AH0 N +RADICALIZE R AE1 D IH0 K AH0 L AY2 Z +RADICALIZED R AE1 D IH0 K AH0 L AY2 Z D +RADICALLY R AE1 D IH0 K L IY0 +RADICALS R AE1 D AH0 K AH0 L Z +RADICALS(2) R AE1 D IH0 K AH0 L Z +RADICE R AE1 D IH0 S +RADICH R AE1 D IH0 K +RADICK R AE1 D IH0 K +RADIN R AE1 D IH0 N +RADINKA R AH0 D IH1 NG K AH0 +RADIO R EY1 D IY0 OW2 +RADIO'S R EY1 D IY0 OW2 Z +RADIOACTIVE R EY2 D IY0 OW0 AE1 K T IH0 V +RADIOACTIVITY R EY1 D IY0 OW0 AE2 K T IH2 V AH0 T IY2 +RADIOACTIVITY(2) R EY2 D IY0 OW0 AE2 K T IH1 V AH0 T IY2 +RADIOED R EY1 D IY0 OW2 D +RADIOGRAPHIC R EY2 D IY0 OW2 G R AA1 F IH0 K +RADIOGRAPHY R EY2 D IY0 AA1 G R AH0 F IY0 +RADIOLOGICAL R EY2 D IY0 AH0 L AA1 JH IH0 K AH0 L +RADIOLOGIST R EY2 D IY0 AA1 L AH0 JH IH0 S T +RADIOLOGISTS R EY2 D IY0 AA1 L AH0 JH IH0 S T S +RADIOLOGY R EY2 D IY0 AA1 L AH0 JH IY0 +RADIOMAN R EY1 D IY0 OW0 M AE2 N +RADIOS R EY1 D IY0 OW2 Z +RADISH R AE1 D IH0 SH +RADISHES R AE1 D IH0 SH IH0 Z +RADISSON R AE1 D AH0 S AH0 N +RADITZ R EY1 D IH0 T S +RADIUM R EY1 D IY0 AH0 M +RADIUS R EY1 D IY0 AH0 S +RADKE R EY1 D K IY0 +RADKE(2) R AE1 D K IY0 +RADKO R AE1 D K OW0 +RADLE R EY1 D AH0 L +RADLER R EY1 D AH0 L ER0 +RADLER(2) R AE1 D L ER0 +RADLEY R AE1 D L IY0 +RADLIFF R AE1 D L IH0 F +RADLOFF R AE1 D L AO0 F +RADMAN R AE1 D M AH0 N +RADMILLA R AE2 D M IH1 L AH0 +RADMUND R AE1 D M AH0 N D +RADNER R AE1 D N ER0 +RADNEY R AE1 D N IY0 +RADNOR R AE1 D N ER0 +RADO R AA1 D OW0 +RADOLF R AE1 D OW0 L F +RADOMSKI R AH0 D AA1 M S K IY0 +RADON R EY1 D AA2 N +RADOS R AA1 D OW0 Z +RADOSEVICH R AH0 D AA1 S IH0 V IH0 CH +RADOSH R AH0 D AO1 SH +RADOVAN R AA1 D OW2 V AA2 N +RADOWSKI R AH0 D OW1 S K IY0 +RADOWSKI'S R AH0 D OW1 S K IY0 Z +RADTKE R AE1 D K IY0 +RADU R AA1 D UW0 +RADWAN R AE1 D W AH0 N +RADY R EY1 D IY0 +RADZIEWICZ R AA1 JH AH0 V IH0 CH +RADZIK R AE1 D Z IH0 K +RAE R EY1 +RAEBURN R EY1 B ER0 N +RAEDER R EH1 D ER0 +RAEDLER R EH1 D L ER0 +RAEL R EY1 L +RAETHER R EH1 DH ER0 +RAETZ R IY1 T S +RAF R AE1 F +RAFAEL R AA2 F AY0 EH1 L +RAFALE R AH0 F EY1 L +RAFALSKI R AH0 F AA1 L S K IY0 +RAFE R EY1 F +RAFELGHEM R AH0 F EH1 L G AH0 M +RAFF R AE1 F +RAFFA R AE1 F AH0 +RAFFAELE R AA0 F AY0 EH1 L EY0 +RAFFAELLI R AA0 F AA0 EH1 L IY0 +RAFFEL R AE1 F AH0 L +RAFFENSPERGER R AE1 F IH0 N S P ER0 G ER0 +RAFFERTY R AE1 F ER0 T IY0 +RAFFETTO R AA0 F EH1 T OW0 +RAFFETY R AE1 F T IY0 +RAFFI R AE1 F IY0 +RAFFI'S R AE1 F IY0 Z +RAFFIELD R AE1 F IY2 L D +RAFFISH R AE1 F IH0 SH +RAFFLE R AE1 F AH0 L +RAFFLES R AE1 F AH0 L Z +RAFFO R AE1 F OW0 +RAFI R AE1 F IY0 +RAFI(2) R AA1 F IY0 +RAFIK R AE1 F IH0 K +RAFSANJANI R AE2 F S AH0 N JH AA1 N IY0 +RAFT R AE1 F T +RAFTED R AE1 F T IH0 D +RAFTER R AE1 F T ER0 +RAFTERS R AE1 F T ER0 Z +RAFTERY R AE1 F T ER0 IY0 +RAFTING R AE1 F T IH0 NG +RAFTS R AE1 F T S +RAFUSE R AA0 F UW1 S IY0 +RAG R AE1 G +RAGAIN R AE1 G AH0 N +RAGAN R EY1 G AH0 N +RAGAS R AA1 G AH0 Z +RAGAVAN R AA1 G AH0 V AA2 N +RAGAVAN'S R AA1 G AH0 V AA2 N Z +RAGE R EY1 JH +RAGED R EY1 JH D +RAGEL R EY1 G AH0 L +RAGEN R AE1 G AH0 N +RAGER R EY1 G ER0 +RAGES R EY1 JH IH0 Z +RAGGED R AE1 G AH0 D +RAGGEDY R AE1 G AH0 D IY0 +RAGGIO R AA1 JH IY0 OW0 +RAGHIDA R AH0 G IY1 D AH0 +RAGIN R AE1 JH IH0 N +RAGING R EY1 JH IH0 NG +RAGLAND R AE1 G L AH0 N D +RAGLE R EY1 G AH0 L +RAGLIN R AE1 G L IH0 N +RAGMEN R AE1 G M AH0 N +RAGO R AA1 G OW0 +RAGON R AA0 G AO1 N +RAGONA R AA0 G OW1 N AH0 +RAGONE R AA0 G OW1 N IY0 +RAGONESE R AA0 G OW0 N EY1 Z IY0 +RAGS R AE1 G Z +RAGSDALE R AE1 G Z D EY2 L +RAGTAG R AE1 G T AE2 G +RAGTIME R AE1 G T AY2 M +RAGTOP R AE1 G T AO0 P +RAGU R AE0 G UW1 +RAGUCCI R AA0 G UW1 CH IY0 +RAGUE R EY1 G +RAGUE(2) R AE1 G +RAGUNATHAN R AA0 G UW1 N AH0 TH AA0 N +RAGUSA R AA0 G UW1 S AH0 +RAGWEED R AE1 G W IY2 D +RAH R AA1 +RAHAL R AH0 HH AA1 L +RAHE R EY1 HH IY0 +RAHEEM R AH0 HH IY1 M +RAHILL R AA1 HH IH0 L +RAHILLY R AE1 HH AH0 L IY0 +RAHIM R AH0 HH IY1 M +RAHL R AA1 L +RAHM R AE1 M +RAHM(2) R AA1 M +RAHMAN R AA1 M AH0 N +RAHMAN'S R AA1 M AH0 N Z +RAHMING R AA1 M IH0 NG +RAHN R AE1 N +RAHRIG R AE1 R IH0 G +RAHUL R AH0 HH UW1 L +RAHWAY R AA1 W EY2 +RAI R AA1 IY0 +RAIA R AA1 Y AH0 +RAIBLE R EY1 B AH0 L +RAICHE R EY1 CH +RAID R EY1 D +RAIDED R EY1 D IH0 D +RAIDER R EY1 D ER0 +RAIDER'S R EY1 D ER0 Z +RAIDERS R EY1 D ER0 Z +RAIDERS' R EY1 D ER0 Z +RAIDING R EY1 D IH0 NG +RAIDS R EY1 D Z +RAIFF R EY1 F +RAIFORD R EY1 F ER0 D +RAIKES R EY1 K S +RAIKO R EY1 K OW0 +RAIL R EY1 L +RAIL'S R EY1 L Z +RAILBIKE R EY1 L B AY2 K +RAILBIKER R EY1 L B AY0 K ER0 +RAILBIKERS R EY1 L B IH0 K ER0 Z +RAILCAR R EY1 L K AA2 R +RAILCARS R EY1 L K AA2 R Z +RAILE R EY1 L +RAILED R EY1 L D +RAILEY R EY1 L IY0 +RAILING R EY1 L IH0 NG +RAILINGS R EY1 L IH0 NG Z +RAILROAD R EY1 L R OW2 D +RAILROAD'S R EY1 L R OW2 D Z +RAILROADED R EY1 L R OW2 D IH0 D +RAILROADING R EY1 L R OW2 D IH0 NG +RAILROADS R EY1 L R OW2 D Z +RAILROADS' R EY1 L R OW2 D Z +RAILS R EY1 L Z +RAILSBACK R EY1 L Z B AE2 K +RAILTEX R EY1 L T EH2 K S +RAILWAY R EY1 L W EY2 +RAILWAY'S R EY1 L W EY2 Z +RAILWAYS R EY1 L W EY2 Z +RAIMER R EY1 M ER0 +RAIMO R EY1 M OW0 +RAIMOND R EY1 M AH0 N D +RAIMONDI R AH0 M OW1 N D IY0 +RAIMONDO R EY2 M AA1 N D OW0 +RAIN R EY1 N +RAINA R EY1 N AH0 +RAINBOLT R EY1 N B OW2 L T +RAINBOW R EY1 N B OW2 +RAINBOWS R EY1 N B OW2 Z +RAINCOAT R EY1 N K OW2 T +RAINCOAT'S R EY1 N K OW2 T S +RAINCOATS R EY1 N K OW2 T S +RAINDANCER R EY1 N D AE2 N S ER0 +RAINDROP R EY1 N D R AA2 P +RAINDROPS R EY1 N D R AA2 P S +RAINE R EY1 N +RAINED R EY1 N D +RAINER R EY1 N ER0 +RAINERI R AH0 N EH1 R IY0 +RAINES R EY1 N Z +RAINEY R EY1 N IY0 +RAINFALL R EY1 N F AO2 L +RAINFALLS R EY1 N F AO2 L Z +RAINFORD R AY1 N F ER0 D +RAINFOREST R AY1 N F AO2 R AH0 S T +RAINFORESTS R AY1 N F AO2 R AH0 S T S +RAINGER R AA1 IH0 NG ER0 +RAINIE R EY1 N IY0 +RAINIER R EY0 N IH1 R +RAINIEST R EY1 N IY0 AH0 S T +RAINING R EY1 N IH0 NG +RAINLEY R EY1 N L IY0 +RAINLEY'S R EY1 N L IY0 Z +RAINMAKER R EY1 N M EY2 K ER0 +RAINMAN R EY1 N M AH0 N +RAINONE R EY1 N OW2 N +RAINS R EY1 N Z +RAINSTORM R EY1 N S T AO2 R M +RAINSTORMS R EY1 N S T AO2 R M Z +RAINVILLE R EY1 N V IH2 L +RAINWATER R EY1 N W AO2 T ER0 +RAINY R EY1 N IY0 +RAIS R EY1 S +RAISA R EY1 S AH0 +RAISA(2) R AA2 IY1 S AH0 +RAISANEN R AY1 S AH0 N AH0 N +RAISBECK R EY1 Z B EH2 K +RAISCH R AY1 SH +RAISE R EY1 Z +RAISED R EY1 Z D +RAISER R EY1 Z ER0 +RAISERS R EY1 Z ER0 Z +RAISES R EY1 Z AH0 Z +RAISES(2) R EY1 Z IH0 Z +RAISIN R EY1 Z IH0 N +RAISING R EY1 Z IH0 NG +RAISINS R EY1 Z AH0 N Z +RAISINS(2) R EY1 Z IH0 N Z +RAISLER R EY1 Z L ER0 +RAISON R EY1 S AA0 N +RAISOR R EY1 Z ER0 +RAISSA R EY1 S AH0 +RAIT R EY1 T +RAITH R EY1 TH +RAITHEL R EY1 TH AH0 L +RAITT R EY1 T +RAJ R AA1 ZH +RAJ(2) R AA1 JH +RAJALA R AA0 Y AA1 L AH0 +RAJALA(2) R AA0 JH AA1 L AH0 +RAJARATNAM R AA0 JH ER0 AA1 T N AA0 M +RAJEWSKI R AY0 EH1 F S K IY0 +RAJIV R AA0 JH IY1 V +RAJIV(2) R AA0 ZH IY1 V +RAJKO R AA1 ZH K OW0 +RAJKUMAR R AA1 ZH K UW0 M AA1 R +RAJNEESH R AA0 JH N IY1 SH +RAJU R AA1 Y UW0 +RAK R AE1 K +RAKE R EY1 K +RAKED R EY1 K T +RAKER R EY1 K ER0 +RAKERS R EY1 K ER0 Z +RAKES R EY1 K S +RAKESTRAW R EY1 K S T R AO2 +RAKICH R AE1 K IH0 CH +RAKING R EY1 K IH0 NG +RAKISH R EY1 K IH0 SH +RAKIYA R AH0 K IY1 AH0 +RAKOCY R AH0 K OW1 CH IY0 +RAKOCZY R AH0 K OW1 CH IY0 +RAKOFF R AE1 K AO2 F +RAKOLTA R AH0 K AA1 L T AH0 +RAKOVICA R AH0 K OW1 V IH0 K AH0 +RAKOW R AE1 K AW0 +RAKOWSKI R AH0 K AW1 S K IY0 +RALEIGH R AO1 L IY0 +RALEIGH'S R AO1 L IY0 Z +RALES R EY1 L Z +RALES' R EY1 L Z +RALES'S R EY1 L Z IH0 Z +RALESES R AH0 L IY1 S IH0 Z +RALEY R AE1 L IY0 +RALF R AA1 L F +RALL R AO1 L +RALLIED R AE1 L IY0 D +RALLIES R AE1 L IY0 Z +RALLIS R AE1 L IH0 S +RALLO R AE1 L OW0 +RALLS R AO1 L Z +RALLY R AE1 L IY0 +RALLY'S R AE1 L IY0 Z +RALLYING R AE1 L IY0 IH0 NG +RALPH R AE1 L F +RALPH'S R AE1 L F S +RALPHS R AE1 L F S +RALSTON R AO1 L S T AH0 N +RALSTON'S R AA1 L S T AH0 N Z +RAM R AE1 M +RAMA R AA1 M AH0 +RAMADA R AH0 M AA1 D AH0 +RAMADA'S R AH0 M AA1 D AH0 Z +RAMADAN R AE1 M AH0 D AH0 N +RAMADAN(2) R AA1 M AH0 D AA2 N +RAMAGE R AE1 M IH0 JH +RAMAKER R AA1 M EY0 K ER0 +RAMALA R AH0 M AA1 L AH0 +RAMALLAH R AH0 M AE1 L AH0 +RAMALLAH(2) R AH0 M AA1 L AH0 +RAMAN R EY1 M AH0 N +RAMAN(2) R AA1 M AH0 N +RAMAPHOSA R AE2 M AH0 F OW1 S AH0 +RAMASWAMI R AA2 M AH0 S W AA1 M IY0 +RAMAT R AE1 M AE0 T +RAMAT(2) R AA1 M AH0 T +RAMBEAU R AH0 M B OW1 +RAMBEAU(2) R AE1 M B OW2 +RAMBERG R AE1 M B ER0 G +RAMBERT R AE1 M B ER0 T +RAMBIN R AE1 M B IH0 N +RAMBLE R AE1 M B AH0 L +RAMBLED R AE1 M B AH0 L D +RAMBLER R AE1 M B L ER0 +RAMBLERS R AE1 M B L ER0 Z +RAMBLING R AE1 M B L IH0 NG +RAMBLING(2) R AE1 M B AH0 L IH0 NG +RAMBO R AE1 M B OW0 +RAMBOW R AE1 M B OW0 +RAMBUNCTIOUS R AE0 M B AH1 NG K SH AH0 S +RAMEL R AE1 M AH0 L +RAMELLA R AH0 M EH1 L AH0 +RAMER R EY1 M ER0 +RAMERIZ R AA0 M EH1 R IY0 Z +RAMESES R AE1 M AH0 S IY2 Z +RAMESH R AA1 M EH2 SH +RAMESSES R AE1 M AH0 S IH0 Z +RAMESSES(2) R AE1 M S IY2 Z +RAMEY R AE1 M IY0 +RAMI R AA1 M IY0 +RAMIFICATION R AE2 M AH0 F AH0 K EY1 SH AH0 N +RAMIFICATIONS R AE2 M AH0 F AH0 K EY1 SH AH0 N Z +RAMIFY R AE1 M AH0 F AY2 +RAMIRES R AA0 M IH1 R EH0 S +RAMIREZ R AH0 M IH1 R EH0 Z +RAMIRO R AH0 M IH1 R OW0 +RAMLAWI R AE2 M L AW1 IY0 +RAMLER R AE1 M L ER0 +RAMLOW R AE1 M L OW2 +RAMM R AE1 M +RAMMED R AE1 M D +RAMMEL R AE1 M AH0 L +RAMMER R AE1 M ER0 +RAMMING R AE1 M IH0 NG +RAMO R EY1 M OW0 +RAMON R AH0 M OW1 N +RAMONA R AH0 M OW1 N AH0 +RAMONDA R AH0 M AA1 N D AH0 +RAMONE R AH0 M OW1 N +RAMOS R AA1 M OW0 S +RAMOS(2) R EY1 M OW0 S +RAMP R AE1 M P +RAMPAGE R AE1 M P EY2 JH +RAMPAGED R AE0 M P EY1 JH D +RAMPAGED(2) R AE1 M P EY2 JH D +RAMPAGER R AE1 M P EY2 JH ER0 +RAMPAGES R AE1 M P EY2 JH IH0 Z +RAMPAGING R AE1 M P EY2 JH IH0 NG +RAMPAGING(2) R AE1 M P AH0 JH IH0 NG +RAMPANT R AE1 M P AH0 N T +RAMPART R AE1 M P AA2 R T +RAMPARTS R AE1 M P AA2 R T S +RAMPELL R AE0 M P EH1 L +RAMPEY R AE1 M P IY0 +RAMPING R AE1 M P IH0 NG +RAMPLEY R AE1 M P L IY0 +RAMPS R AE1 M P S +RAMPY R AE1 M P IY0 +RAMQVIST R AE1 M K V IH2 S T +RAMQVIST(2) R AE1 M K W IH2 S T +RAMROD R AE1 M R AA2 D +RAMS R AE1 M Z +RAMSAY R AE1 M Z IY0 +RAMSAY(2) R AE1 M S EY2 +RAMSBURG R AE1 M S B ER0 G +RAMSDELL R AE1 M S D AH0 L +RAMSDEN R AE1 M S D AH0 N +RAMSER R AE1 M Z ER0 +RAMSES R AE1 M S IY2 Z +RAMSEUR R AH0 M S ER1 +RAMSEY R AE1 M Z IY0 +RAMSEY'S R AE1 M Z IY0 Z +RAMSEYER R AE1 M Z IY0 ER0 +RAMSEYS R AE1 M Z IY0 Z +RAMSEYS(2) R AE1 M S IY0 Z +RAMSHACKLE R AE1 M SH AE2 K AH0 L +RAMSTAD R AE1 M S T AH0 D +RAMSTEIN R AE1 M S T AY2 N +RAMSTEIN(2) R AE1 M S T IY2 N +RAMTANE R AE1 M T EY0 N +RAMTEK R AE1 M T EH2 K +RAMTHA R AE1 M TH AH0 +RAMTHUN R AE1 M TH AH0 N +RAMU R AA2 M UW1 +RAMUNE R AE1 M Y UW2 N +RAMUS R EY1 M AH0 S +RAMZI R AE1 M Z IY0 +RAN R AE1 N +RANA R AE1 N AH0 +RANALLI R AH0 N AE1 L IY0 +RANALLO R AH0 N AE1 L OW0 +RANCE R AE1 N S +RANCE'S R AE1 N S IH0 Z +RANCH R AE1 N CH +RANCH'S R AE1 N CH IH0 Z +RANCHER R AE1 N CH ER0 +RANCHERA R AA0 N CH EH1 R AH0 +RANCHERO R AA0 N CH EH1 R OW0 +RANCHERO(2) R AE0 N CH EH1 R OW0 +RANCHERS R AE1 N CH ER0 Z +RANCHES R AE1 N CH AH0 Z +RANCHING R AE1 N CH IH0 NG +RANCHLAND R AE1 N CH L AH0 N D +RANCHO R AE1 N CH OW0 +RANCID R AE1 N S IH0 D +RANCIDITY R AE0 N S IH1 D IH0 T IY0 +RANCK R AE1 NG K +RANCO R AE1 NG K OW0 +RANCOR R AE1 NG K ER0 +RANCOROUS R AE1 NG K ER0 AH0 S +RANCOROUSNESS R AE1 NG K ER0 AH0 S N IH0 S +RANCOURT R AH0 N K AO1 R T +RAND R AE1 N D +RAND'S R AE1 N D Z +RANDA R AA1 N D AH0 +RANDA'S R AA1 N D AH0 Z +RANDAL R AE1 N D AH0 L +RANDALL R AE1 N D AH0 L +RANDAZZO R AA0 N D AA1 Z OW0 +RANDEL R AE1 N D AH0 L +RANDELL R AE1 N D EH1 L +RANDER R AE1 N D ER0 +RANDI R AE1 N D IY0 +RANDLE R AE1 N D AH0 L +RANDLEMAN R AE1 N D AH0 L M AH0 N +RANDLES R AE1 N D AH0 L Z +RANDLETT R AE1 N D L IH0 T +RANDO R AA1 N D OW0 +RANDOL R AE1 N D AH0 L +RANDOLF R AE1 N D OW2 L F +RANDOLPH R AE1 N D AA0 L F +RANDOM R AE1 N D AH0 M +RANDOMIZE R AE1 N D AH0 M AY2 Z +RANDOMIZED R AE1 N D AH0 M AY2 Z D +RANDOMLY R AE1 N D AH0 M L IY0 +RANDOMNESS R AE1 N D AH0 M N AH0 S +RANDS R AE1 N D Z +RANDY R AE1 N D IY0 +RANDY'S R AE1 N D IY0 Z +RANEE R AE1 N IY1 +RANERI R AA0 N EH1 R IY0 +RANES R EY1 N Z +RANEY R EY1 N IY0 +RANFT R AE1 N F T +RANG R AE1 NG +RANGE R EY1 N JH +RANGED R EY1 N JH D +RANGEL R AE1 N JH EH1 L +RANGER R EY1 N JH ER0 +RANGER'S R EY1 N JH ER0 Z +RANGERS R EY1 N JH ER0 Z +RANGERS' R EY1 N JH ER0 Z +RANGES R EY1 N JH AH0 Z +RANGES(2) R EY1 N JH IH0 Z +RANGING R EY1 N JH IH0 NG +RANGOON R AE0 NG G UW1 N +RANGOON'S R AE0 NG G UW1 N Z +RANGY R EY1 N JH IY0 +RANH R AE1 N +RANI R AA1 N IY0 +RANIA R AA1 N IY0 AH0 +RANIERI R AE2 N IY0 EH1 R IY0 +RANIERI(2) R AH0 N IY0 EH1 R IY0 +RANK R AE1 NG K +RANKE R AE1 NG K +RANKED R AE1 NG K T +RANKER R AE1 NG K ER0 +RANKERS R AE1 NG K ER0 Z +RANKIN R AE1 NG K IH0 N +RANKINE R AE1 NG K AY2 N +RANKING R AE1 NG K IH0 NG +RANKINGS R AE1 NG K IH0 NG Z +RANKINS R AE1 NG K IH0 N Z +RANKLE R AE1 NG K AH0 L +RANKLED R AE1 NG K AH0 L D +RANKLES R AE1 NG K AH0 L Z +RANKLING R AE1 NG K L IH0 NG +RANKS R AE1 NG K S +RANLEY R AE1 N L IY0 +RANN R AE1 N +RANNEY R AE1 N IY0 +RANNOW R AE1 N OW0 +RANS R AE1 N Z +RANSACK R AE1 N S AE2 K +RANSACKED R AE1 N S AE2 K T +RANSACKING R AE1 N S AE2 K IH0 NG +RANSALL R AE1 N S AA0 L +RANSBOTTOM R AE1 N S B AA2 T AH0 M +RANSBURG R AE1 N Z B ER0 G +RANSBURG'S R AE1 N Z B ER0 G Z +RANSDELL R AE1 N Z D EH1 L +RANSFORD R AE1 N S F ER0 D +RANSIER R AE1 N S IY0 ER0 +RANSLEY R AE1 N S L IY0 +RANSOM R AE1 N S AH0 M +RANSOM'S R AE1 N S AH0 M Z +RANSOME R AE1 N S AH0 M +RANSOMS R AE1 N S AH0 M Z +RANSON R AE1 N S AH0 N +RANSONE R AE1 N S AH0 N +RANT R AE1 N T +RANTA R AE1 N T AH0 +RANTALA R AA0 N T AA1 L AH0 +RANTED R AE1 N T IH0 D +RANTING R AE1 N T IH0 NG +RANTOUL R AE2 N T UW1 L +RANTZ R AE1 N T S +RANUM R AE1 N AH0 M +RANZ R AE1 N Z +RAO R AW1 +RAO'S R AW1 Z +RAOUL R AA0 UW1 L +RAOUX R AE0 UW1 +RAP R AE1 P +RAPACIOUS R AH0 P AE1 SH IH0 S +RAPACIOUS(2) R AH0 P EY1 SH IH0 S +RAPACZ R AA1 P AH0 CH +RAPANELLI R AE2 P AH0 N EH1 L IY0 +RAPAPORT R AE1 P AH0 P AO2 R T +RAPE R EY1 P +RAPED R EY1 P T +RAPER R EY1 P ER0 +RAPERS R EY1 P ER0 Z +RAPES R EY1 P S +RAPESEED R EY1 P S IY2 D +RAPHAEL R AA2 F AY0 EH1 L +RAPHAEL(2) R AA2 F Y EH1 L +RAPHAEL(3) R EY1 F IY0 AH0 L +RAPHAELA R AE1 F AY0 EH1 L AH0 +RAPHAELITE R AE0 F Y EH1 L AY0 T +RAPHALIAN R AH0 F EY1 L IY0 AH0 N +RAPHEL R AE1 F AH0 L +RAPID R AE1 P AH0 D +RAPID(2) R AE1 P IH0 D +RAPIDITY R AH0 P IH1 D AH0 T IY0 +RAPIDLY R AE1 P AH0 D L IY0 +RAPIDS R AE1 P AH0 D Z +RAPIDS(2) R AE1 P IH0 D Z +RAPIER R EY1 P IY0 ER0 +RAPING R EY1 P IH0 NG +RAPIST R EY1 P IH0 S T +RAPIST'S R EY1 P IH0 S T S +RAPISTS R EY1 P IH0 S T S +RAPKIN R AE1 P K IH0 N +RAPLEY R AE1 P L IY0 +RAPOCA R AH0 P OW1 K ER0 +RAPOPORT R AH0 P AA1 P AO0 R T +RAPOPORT(2) R AE1 P AH0 P AO0 R T +RAPOSA R AA0 P OW1 S AH0 +RAPOSO R AA0 P OW1 S OW0 +RAPOZA R AA0 P OW1 Z AH0 +RAPOZO R AA0 P OW1 Z OW0 +RAPP R AE1 P +RAPPA R AE1 P AH0 +RAPPAHANNOCK R AE2 P AH0 HH AE1 N AH0 K +RAPPAPORT R AE1 P AH0 P AO0 R T +RAPPE R AE1 P +RAPPED R AE1 P T +RAPPELLING R AH0 P EH1 L IH0 NG +RAPPER R AE1 P ER0 +RAPPERS R AE1 P ER0 Z +RAPPING R AE1 P IH0 NG +RAPPOLD R AE1 P OW2 L D +RAPPOPORT R AE1 P AH0 P AO0 R T +RAPPORT R AE0 P AO1 R +RAPPROCHEMENT R AE2 P R OW2 SH M AA1 N +RAPS R AE1 P S +RAPSON R AE1 P S AH0 N +RAPT R AE1 P T +RAPTIS R AH0 P T IY1 S +RAPTLY R AE1 P T L IY0 +RAPTOPOULOS R AE0 P T AA1 P OW0 L AH0 S +RAPTOR R AE1 P T ER0 +RAPTORIAL R AE2 P T AO1 R IY0 AH0 L +RAPTORS R AE1 P T ER0 Z +RAPTURE R AE1 P CH ER0 +RAPTUROUS R AE1 P CH ER0 AH0 S +RAPUANO R AA0 P UW0 AA1 N OW0 +RAPUNZEL R AA2 P UH1 Z AH0 L +RAQUEL R AH0 K EH1 L +RARA R AA1 R AH0 +RARDON R AA1 R D AH0 N +RARE R EH1 R +RAREFIED R EH1 R AH0 F AY0 D +RAREFY R EH1 R AH0 F AY0 +RARELY R EH1 R L IY0 +RARENESS R EH1 R N IH0 S +RARER R EH1 R ER0 +RAREST R EH1 R AH0 S T +RARICK R AE1 R IH0 K +RARITAN R EH1 R IH0 T AH0 N +RARITIES R EH1 R IH0 T IY0 Z +RARITY R EH1 R AH0 T IY0 +RARITY(2) R EH1 R IH0 T IY0 +RAS R AE1 S +RASBURY R AE1 S B EH0 R IY0 +RASCAL R AE1 S K AH0 L +RASCALS R AE1 S K AH0 L Z +RASCH R AE1 SH +RASCHE R AE1 SH +RASCHKE R AE1 SH K +RASCO R AA1 S K OW0 +RASCOE R AE1 S K OW0 +RASCON R AE1 S K AH0 N +RASE R EY1 Z +RASER R EY1 Z ER0 +RASEY R AE1 S IY0 +RASH R AE1 SH +RASHAD R AH0 SH AA1 D +RASHEED R AH0 SH IY1 D +RASHES R AE1 SH IH0 Z +RASHID R AH0 SH IY1 D +RASHID(2) R AA0 SH IY1 D +RASIA R AA1 S IY0 AH0 +RASK R AE1 S K +RASKA R AA1 S K AH0 +RASKE R EY1 S K +RASKIN R AE1 S K IH0 N +RASKYN R AE1 S K IH0 N +RASMIN R AE1 S M AH0 N +RASMIN(2) R AE1 Z M IH0 N +RASMUS R AE1 Z M IH0 S +RASMUSON R AE1 Z M AH0 S AH0 N +RASMUSSEN R AE1 S M AH0 S AH0 N +RASMUSSON R AE1 Z M AH0 S AH0 N +RASNAKE R AE1 S N AH0 K +RASNER R AE1 S N ER0 +RASNICK R AE1 S N IH0 K +RASO R AA1 S OW0 +RASOR R EY1 Z ER0 +RASORITE R AE1 S ER0 AY2 T +RASP R AE1 S P +RASPBERRIES R AE1 Z B EH2 R IY0 Z +RASPBERRY R AE1 Z B EH2 R IY0 +RASPED R AE1 S P T +RASPS R AE1 S P S +RASPUTIN R AH0 S P Y UW1 T IH0 N +RASPUTIN'S R AE0 S P Y UW1 T AH0 N Z +RASPY R AE1 S P IY0 +RAST R AE1 S T +RASTER R AE1 S T ER0 +RASTEROP R AE1 S T ER0 AA2 P +RASTEROPS R AE1 S T ER0 AA2 P S +RASTETTER R EY1 S T IH0 T ER0 +RASTUS R AE1 S T AH0 S +RAT R AE1 T +RAT'S R AE1 T S +RAT-A-TAT R AE1 T AH0 T AE1 T +RATA R AE1 T AH0 +RATAJCZAK R AE1 T AH0 CH EH0 K +RATATISEMENT R AE1 T AH0 T AY2 Z M AH0 N T +RATATISEMENTS R AE1 T AH0 T AY2 Z M AH0 N T S +RATATOUILLE R AE2 T AH0 T UW1 Y +RATAY R AE1 T EY0 +RATCHET R AE1 CH AH0 T +RATCHET(2) R AE0 T CH AH0 T +RATCHETED R AE1 CH AH0 T IH0 D +RATCHETING R AE1 CH AH0 T IH0 NG +RATCHFORD R AE1 CH F ER0 D +RATCLIFF R AE1 T K L IH0 F +RATCLIFFE R AE1 T K L IH0 F +RATE R EY1 T +RATE'S R EY1 T S +RATED R EY1 T IH0 D +RATELIFF R AE1 T L IH0 F +RATEPAYER R EY1 T P EY2 ER0 +RATEPAYERS R EY1 T P EY2 ER0 Z +RATEPAYERS' R EY1 T P EY2 ER0 Z +RATER R EY1 T ER0 +RATERS R EY1 T ER0 Z +RATES R EY1 T S +RATH R AE1 TH +RATHBONE R AE1 TH B OW2 N +RATHBUN R AE1 TH B AH0 N +RATHBURN R AE1 TH B ER0 N +RATHBURNE R AE1 TH B ER0 N +RATHBURNE'S R AE1 TH B ER0 N Z +RATHE R EY1 DH +RATHEL R AE1 TH AH0 L +RATHER R AE1 DH ER0 +RATHER(2) R AH1 DH ER0 +RATHER'S R AE1 DH ER0 Z +RATHERT R AE1 TH ER0 T +RATHGEBER R AE1 TH G IH0 B ER0 +RATHJE R AE1 TH JH AH0 +RATHJEN R AE1 TH JH AH0 N +RATHKE R AE1 TH K AH0 +RATHMAN R AE1 TH M AH0 N +RATHMANN R AE1 TH M AH0 N +RATHSKELLER R AE1 TH S K EH2 L ER0 +RATICAN R AE1 T IH0 K AH0 N +RATIENI R AH0 T IY1 N IY0 +RATIER R EY1 T Y ER0 +RATIFICATION R AE2 T AH0 F AH0 K EY1 SH AH0 N +RATIFIED R AE1 T AH0 F AY2 D +RATIFIES R AE1 T AH0 F AY2 Z +RATIFY R AE1 T AH0 F AY2 +RATIFYING R AE1 T AH0 F AY2 IH0 NG +RATING R EY1 T IH0 NG +RATINGS R EY1 T IH0 NG Z +RATIO R EY1 SH IY0 OW2 +RATION R AE1 SH AH0 N +RATION(2) R EY1 SH AH0 N +RATIONAL R AE1 SH AH0 N AH0 L +RATIONAL(2) R AE1 SH N AH0 L +RATIONALE R AE2 SH AH0 N AE1 L +RATIONALES R AE2 SH AH0 N AE1 L Z +RATIONALITY R AE2 SH AH0 N AE1 L IH0 T IY0 +RATIONALIZATION R AE2 SH AH0 N AH0 L IH0 Z EY1 SH AH0 N +RATIONALIZATION(2) R AE2 SH N AH0 L IH0 Z EY1 SH AH0 N +RATIONALIZATIONS R AE2 SH AH0 N AH0 L IH0 Z EY1 SH AH0 N Z +RATIONALIZATIONS(2) R AE2 SH N AH0 L IH0 Z EY1 SH AH0 N Z +RATIONALIZE R AE1 SH AH0 N AH0 L AY2 Z +RATIONALIZED R AE1 SH AH0 N AH0 L AY2 Z D +RATIONALIZING R AE1 SH AH0 N AH0 L AY2 Z IH0 NG +RATIONALLY R AE1 SH AH0 N AH0 L IY0 +RATIONALLY(2) R AE1 SH N AH0 L IY0 +RATIONED R AE1 SH AH0 N D +RATIONED(2) R EY1 SH AH0 N D +RATIONING R AE1 SH AH0 N IH0 NG +RATIONING(2) R AE1 SH N IH0 NG +RATIONING(3) R EY1 SH AH0 N IH0 NG +RATIONS R AE1 SH AH0 N Z +RATIOS R EY1 SH IY0 OW2 Z +RATKO R AE1 T K OW0 +RATKOVICH R AA1 T K AH0 V IH0 CH +RATKOWSKI R AH0 T K AO1 F S K IY0 +RATLEDGE R AE1 T L IH0 JH +RATLEY R AE1 T L IY0 +RATLIFF R AE1 T L IH0 F +RATLIFFE R AE1 T L IH0 F +RATLIFFE'S R AE1 T L IH0 F S +RATNER R AE1 T N ER0 +RATNERS R AE1 T N ER0 Z +RATON R AH0 T OW1 N +RATS R AE1 T S +RATTAN R AE0 T AE1 N +RATTATOUILLE R AE0 T AH0 T UW1 IY0 +RATTE R AE1 T +RATTERMAN R AE1 T ER0 M AH0 N +RATTERREE R AE1 T ER0 IY1 +RATTIGAN R AE1 T IH0 G AH0 N +RATTIGAN'S R AE1 T IH0 G AH0 N Z +RATTLE R AE1 T AH0 L +RATTLED R AE1 T AH0 L D +RATTLER R AE1 T AH0 L ER0 +RATTLER(2) R AE1 T L ER0 +RATTLES R AE1 T AH0 L Z +RATTLESNAKE R AE1 T AH0 L S N EY2 K +RATTLESNAKES R AE1 T AH0 L S N EY2 K S +RATTLING R AE1 T L IH0 NG +RATTLING(2) R AE1 T AH0 L IH0 NG +RATTNER R AE1 T N ER0 +RATTRAY R AE1 T R EY0 +RATTS R AE1 T S +RATTY R AE1 T IY0 +RATU R AA0 T UW1 +RATZ R AE1 T S +RATZINGER R AE1 T S IH2 NG ER0 +RATZLAFF R AE1 T Z L AH0 F +RAU R AW1 +RAUB R AO1 B +RAUBER R AW1 B ER0 +RAUCCI R AO1 CH IY0 +RAUCH R AO1 CH +RAUCHER R AO1 CH ER0 +RAUCHER'S R AO1 CH ER0 Z +RAUCOUS R AO1 K AH0 S +RAUDABAUGH R AO1 D AH0 B AO0 +RAUDENBUSH R AW1 D IH0 N B UH0 SH +RAUEN R AW1 AH0 N +RAUER R AW1 ER0 +RAUH R AO1 +RAUL R AO1 L +RAUL(2) R AA0 UW1 L +RAUL(3) R AW1 L +RAULERSON R AO1 L ER0 S AH0 N +RAULS R AA0 UW1 L Z +RAULSTON R AO1 L S T AH0 N +RAUM R AO1 M +RAUN R AO1 N +RAUNCHY R AO1 N CH IY0 +RAUP R AO1 P +RAUPP R AO1 P +RAUSCH R AW1 SH +RAUSCHENBERG R AW1 SH AH0 N B ER0 G +RAUSCHER R AW1 SH ER0 +RAUSER R AW1 S ER0 +RAUT R AW1 T +RAUTENBERG R AW1 T AH0 N B ER0 G +RAUTH R AO1 TH +RAUTIO R AW1 T IY0 OW0 +RAVAGE R AE1 V IH0 JH +RAVAGED R AE1 V IH0 JH D +RAVAGES R AE1 V IH0 JH IH0 Z +RAVAGING R AE1 V IH0 JH IH0 NG +RAVAN R EY1 V AH0 N +RAVE R EY1 V +RAVED R EY1 V D +RAVEL R AE1 V AH0 L +RAVEL(2) R AH0 V EH1 L +RAVEL'S R AH0 V EH1 L Z +RAVELED R AE1 V AH0 L D +RAVELING R AE1 V AH0 L IH0 NG +RAVELING(2) R AE1 V L IH0 NG +RAVELO R 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AH0 B EH1 K AH0 Z +REBECK R IY1 B EH0 K +REBEKA R IH0 B IY1 K AH0 +REBEKKA R IH0 B EH1 K AH0 +REBEL R EH1 B AH0 L +REBEL(2) R IH0 B EH1 L +REBEL'S R EH1 B AH0 L Z +REBELLED R IH0 B EH1 L D +REBELLING R IH0 B EH1 L IH0 NG +REBELLION R IH0 B EH1 L Y AH0 N +REBELLION'S R IH0 B EH1 L Y AH0 N Z +REBELLIONS R IH0 B EH1 L Y AH0 N Z +REBELLIOUS R IH0 B EH1 L Y AH0 S +REBELLIOUS(2) R AH0 B EH1 L Y AH0 S +REBELLIOUSNESS R AH0 B EH1 L IY0 AH0 S N AH0 S +REBELLO R EH0 B EH1 L OW0 +REBELO R EH0 B EH1 L OW0 +REBELS R EH1 B AH0 L Z +REBELS(2) R IH0 B EH1 L Z +REBELS' R EH1 B AH0 L Z +REBER R EH1 B ER0 +REBERT R EH1 B ER0 T +REBHOLZ R EH1 B HH OW0 L Z +REBID R IY0 B IH1 D +REBIRTH R IY0 B ER1 TH +REBIRTHS R IY0 B ER1 TH S +REBMAN R EH1 B M AH0 N +REBMANN R EH1 B M AH0 N +REBO R IY1 B OW0 +REBOARD R IY0 B AO1 R D +REBOOK R IY0 B UH1 K +REBOOKED R IY0 B UH1 K T +REBOOT R IY0 B UW1 T +REBOOTS R IY0 B UW1 T S +REBORN R IY1 B AO1 R N +REBOUND R IY0 B AW1 N D +REBOUNDED R IY0 B AW1 N D IH0 D +REBOUNDING R IY0 B AW1 N D IH0 NG +REBOUNDS R IY1 B AW2 N D Z +REBROADCAST R IY0 B R AO1 D K AE2 S T +REBSTOCK R EH1 B S T AA2 K +REBUCK R EH1 B AH0 K +REBUFF R IH0 B AH1 F +REBUFF(2) R IY0 B AH1 F +REBUFFED R IH0 B AH1 F T +REBUFFED(2) R IY0 B AH1 F T +REBUFFING R IY0 B AH1 F IH0 NG +REBUFFS R IY0 B AH1 F S +REBUILD R IY0 B IH1 L D +REBUILDER R IY0 B IH1 L D ER0 +REBUILDERS R IY0 B IH1 L D ER0 Z +REBUILDING R IY0 B IH1 L D IH0 NG +REBUILDS R IY0 B IH1 L D Z +REBUILT R IY0 B IH1 L T +REBUKE R IY0 B Y UW1 K +REBUKE(2) R IH0 B Y UW1 K +REBUKED R IH0 B Y UW1 K T +REBUKED(2) R IY0 B Y UW1 K T +REBUKES R IY0 B Y UW1 K S +REBUKING R IY0 B Y UW1 K IH0 NG +REBUS R IY1 B AH0 S +REBUT R IH0 B AH1 T +REBUT(2) R IY0 B AH1 T +REBUTTAL R IH0 B AH1 T AH0 L +REBUTTAL(2) R IY0 B AH1 T AH0 L +REBUTTALS R IH0 B AH1 T AH0 L Z +REBUTTED R IH0 B AH1 T IH0 D +REBUTTING R IH0 B AH1 T IH0 NG +REBUTTING(2) R IY0 B AH1 T IH0 NG +REC R EH1 K +RECADI R IH0 K AE1 D IY0 +RECALCITRANCE R IH0 K AE1 L S AH0 T R AH0 N S +RECALCITRANT R IH0 K AE1 L S IH0 T R AH0 N T +RECALCULATE R IY0 K AE1 L K Y AH0 L EY2 T +RECALCULATED R IY0 K AE1 L K Y AH0 L EY2 T IH0 D +RECALCULATING R IY0 K AE1 L K Y AH0 L EY2 T IH0 NG +RECALCULATION R IY0 K AE2 L K Y AH0 L EY1 SH AH0 N +RECALL R IY1 K AO2 L +RECALL(2) R IH0 K AO1 L +RECALLED R IH0 K AO1 L D +RECALLING R IH0 K AO1 L IH0 NG +RECALLS R IY1 K AO2 L Z +RECALLS(2) R IH0 K AO1 L Z +RECANT R IY0 K AE1 N T +RECANTATION R EH2 K AH0 N T EY1 SH AH0 N +RECANTATION(2) R IY0 K AE0 N T EY1 SH AH0 N +RECANTED R IY0 K AE1 N T IH0 D +RECANTING R AH0 K AE1 N T IH0 NG +RECAP R IY1 K AE2 P +RECAP(2) R IH0 K AE1 P +RECAPITALIZATION R IY2 K AE2 P IH0 T AH0 L IH0 Z EY1 SH AH0 N +RECAPITALIZATIONS R IY0 K AE2 P AH0 T AH0 L AH0 Z EY1 SH AH0 N Z +RECAPITALIZE R IY2 K AE1 P IH0 T AH0 L AY2 Z +RECAPITALIZED R IY2 K AE1 P IH0 T AH0 L AY2 Z D +RECAPITALIZING R IY2 K AE1 P IH0 T AH0 L AY2 Z IH0 NG +RECAPITULATE R IY2 K AH0 P IH1 CH AH0 L EY2 T +RECAPITULATES R IY2 K AH0 P IH1 CH AH0 L EY2 T S +RECAPPED R IY0 K AE1 P T +RECAPPING R IY0 K AE1 P IH0 NG +RECAPS R IY1 K AE2 P S +RECAPTURE R IY0 K AE1 P CH ER0 +RECAPTURED R IY0 K AE1 P CH ER0 D +RECAPTURING R IY0 K AE1 P CH ER0 IH0 NG +RECAREY R IY0 K EH1 R IY0 +RECAST R IY0 K AE1 S T +RECASTING R IY0 K AE1 S T IH0 NG +RECCHIA R EH1 K IY0 AH0 +RECEDE R IH0 S IY1 D +RECEDED R AH0 S IY1 D IH0 D +RECEDED(2) R IH0 S IY1 D IH0 D +RECEDED(3) R IY0 S IY1 D IH0 D +RECEDES R IY0 S IY1 D Z +RECEDING R IH0 S IY1 D IH0 NG +RECEDING(2) R IY0 S IY1 D IH0 NG +RECEIPT R IH0 S IY1 T +RECEIPT(2) R IY0 S IY1 T +RECEIPTS R IH0 S IY1 T S +RECEIPTS(2) R IY0 S IY1 T S +RECEIVABLE R IH0 S IY1 V AH0 B AH0 L +RECEIVABLES R IH0 S IY1 V AH0 B AH0 L Z +RECEIVE R AH0 S IY1 V +RECEIVE(2) R IH0 S IY1 V +RECEIVE(3) R IY0 S IY1 V +RECEIVED R AH0 S IY1 V D +RECEIVED(2) R IH0 S IY1 V D +RECEIVED(3) R IY0 S IY1 V D +RECEIVER R AH0 S IY1 V ER0 +RECEIVER(2) R IH0 S IY1 V ER0 +RECEIVER(3) R IY0 S IY1 V ER0 +RECEIVERS R AH0 S IY1 V ER0 Z +RECEIVERS(2) R IH0 S IY1 V ER0 Z +RECEIVERS(3) R IY0 S IY1 V ER0 Z +RECEIVERSHIP R IH0 S IY1 V ER0 SH IH2 P +RECEIVERSHIP(2) R IY0 S IY1 V ER0 SH IH2 P +RECEIVERSHIPS R IH0 S IY1 V ER0 SH IH2 P S +RECEIVES R AH0 S IY1 V Z +RECEIVES(2) R IH0 S IY1 V Z +RECEIVES(3) R IY0 S IY1 V Z +RECEIVING R AH0 S IY1 V IH0 NG +RECEIVING(2) R IH0 S IY1 V IH0 NG +RECEIVING(3) R IY0 S IY1 V IH0 NG +RECENT R IY1 S AH0 N T +RECENTLY R IY1 S AH0 N T L IY0 +RECENTLY(2) R IY1 S AH0 N L IY0 +RECEPTACLE R AH0 S EH1 P T AH0 K AH0 L +RECEPTACLES R IH0 S EH1 P T IH0 K AH0 L Z +RECEPTECH R IY1 S EH2 P T EH1 K +RECEPTION R IH0 S EH1 P SH AH0 N +RECEPTION(2) R IY0 S EH1 P SH AH0 N +RECEPTIONIST R IH0 S EH1 P SH AH0 N IH0 S T +RECEPTIONIST(2) R IY0 S EH1 P SH AH0 N IH0 S T +RECEPTIONISTS R IH0 S EH1 P SH AH0 N IH0 S T S +RECEPTIONISTS(2) R IY0 S EH1 P SH AH0 N IH0 S T S +RECEPTIONISTS(3) R IH0 S EH1 P SH AH0 N IH0 S +RECEPTIONISTS(4) R IY0 S EH1 P SH AH0 N IH0 S +RECEPTIONS R IH0 S EH1 P SH AH0 N Z +RECEPTIVE R IH0 S EH1 P T IH0 V +RECEPTIVE(2) R IY0 S EH1 P T IH0 V +RECEPTIVITY R IY1 S EH2 P T IH1 V IH0 T IY0 +RECEPTOR R IY0 S EH1 P T ER0 +RECEPTORS R AH0 S EH1 P T ER0 Z +RECERTIFICATION R IY2 S ER0 T AH0 F AH0 K EY1 SH AH0 N +RECERTIFIED R IY0 S ER1 T IH0 F AY0 D +RECERTIFY R IY0 S ER1 T AH0 F AY0 +RECERTIFYING R IY0 S ER1 T AH0 F AY0 IH0 NG +RECESS R IH0 S EH1 S +RECESS(2) R IY1 S EH0 S +RECESSED R IH0 S EH1 S T +RECESSED(2) R IY1 S EH1 S T +RECESSES R IY1 S EH0 S AH0 Z +RECESSING R IY2 S EH1 S IH0 NG +RECESSION R IH0 S EH1 SH AH0 N +RECESSION(2) R IY2 S EH1 SH AH0 N +RECESSION'S R IY2 S EH1 SH AH0 N Z +RECESSIONARY R IY0 S EH1 SH AH0 N EH2 R IY0 +RECESSIONS R IH0 S EH1 SH AH0 N Z +RECESSIVE R AH0 S EH1 S IH0 V +RECH R EH1 K +RECHARGE R IY0 CH AA1 R JH +RECHARGEABLE R IY0 CH AA1 R JH AH0 B AH0 L +RECHARGED R IY0 CH AA1 R JH D +RECHARGING R IY0 CH AA1 R JH IH0 NG +RECHECK R IY1 CH EH1 K +RECHECKED R IY0 CH EH1 K T +RECHRISTEN R IY1 K R IH1 S AH0 N +RECHRISTENED R IY1 K R IH1 S AH0 N D +RECHT R EH1 K T +RECIDIVISM R AH0 S IH1 D IH0 V IH2 Z AH0 M +RECIDIVIST R AH0 S IH1 D IH0 V IH2 S T +RECIDIVISTS R AH0 S IH1 D IH0 V IH2 S T S +RECINE R EH0 CH IY1 N IY0 +RECIO R EH1 CH IY0 OW0 +RECIPE R EH1 S AH0 P IY0 +RECIPE'S R EH1 S AH0 P IY0 Z +RECIPES R EH1 S AH0 P IY0 Z +RECIPIENT R AH0 S IH1 P IY0 AH0 N T +RECIPIENT(2) R IH0 S IH1 P IY0 AH0 N T +RECIPIENT'S R IH0 S IH1 P IY0 AH0 N T S +RECIPIENTS R IH0 S IH1 P IY0 AH0 N T S +RECIPIENTS' R IH0 S IH1 P IY0 AH0 N T S +RECIPROCAL R IH0 S IH1 P R AH0 K AH0 L +RECIPROCANT R IY0 S IH1 P R AH0 K AH0 N T +RECIPROCANTS R IY0 S IH1 P R AH0 K AH0 N T S +RECIPROCATE R IH0 S IH1 P R AH0 K EY2 T +RECIPROCATED R IH0 S IH1 P R AH0 K EY2 T IH0 D +RECIPROCATES R IH0 S IH1 P R AH0 K EY2 T S +RECIPROCATING R IH0 S IH1 P R AH0 K EY2 T IH0 NG +RECIPROCITY R EH2 S IH0 P R AA1 S IH0 T IY0 +RECISION R IH0 S IH1 ZH AH0 N +RECISIONS R IH0 S IH1 ZH AH0 N Z +RECISSION R AH0 S IH1 SH AH0 N +RECITAL R AH0 S AY1 T AH0 L +RECITALS R IH0 S AY1 T AH0 L Z +RECITATION R EH2 S AH0 T EY1 SH AH0 N +RECITATIONS R EH2 S IH0 T EY1 SH AH0 N Z +RECITATIVES R EH2 S AH0 T AH0 T IY1 V Z +RECITE R AH0 S AY1 T +RECITED R AH0 S AY1 T IH0 D +RECITES R IY0 S AY1 T S +RECITING R IY0 S AY1 T IH0 NG +RECK R EH1 K +RECKARD R EH1 K ER0 D +RECKER R EH1 K ER0 +RECKITT R EH1 K IH0 T +RECKLESS R EH1 K L AH0 S +RECKLESSLY R EH1 K L AH0 S L IY0 +RECKLESSNESS R EH1 K L AH0 S N AH0 S +RECKNER R EH1 K N ER0 +RECKON R EH1 K AH0 N +RECKONED R EH1 K AH0 N D +RECKONING R EH1 K AH0 N IH0 NG +RECKONING(2) R EH1 K N IH0 NG +RECKONS R EH1 K AH0 N Z +RECKTENWALD R IH2 K T EH1 N W AH0 L D +RECLAIM R IY0 K L EY1 M +RECLAIMED R IY0 K L EY1 M D +RECLAIMER R IY0 K L EY1 M ER0 +RECLAIMER'S R IY0 K L EY1 M ER0 Z +RECLAIMING R IY0 K L EY1 M IH0 NG +RECLAMATION R EH2 K L AH0 M EY1 SH AH0 N +RECLASSIFICATION R IY0 K L AE2 S AH0 F AH0 K EY1 SH AH0 N +RECLASSIFIED R IY0 K L AE1 S AH0 F AY2 D +RECLASSIFY R IY0 K L AE1 S IH0 F AY2 +RECLASSIFYING R IY0 K L AE1 S IH0 F AY2 IH0 NG +RECLINE R IH0 K L AY1 N +RECLINED R IH0 K L AY1 N D +RECLINER R IH0 K L AY1 N ER0 +RECLINES R IH0 K L AY1 N Z +RECLINING R IH0 K L AY1 N IH0 NG +RECLINING(2) R IY0 K L AY1 N IH0 NG +RECLUSE R IH0 K L UW1 S +RECLUSIVE R IH0 K L UW1 S IH0 V +RECLUSIVE(2) R IY0 K L UW1 S IH0 V +RECO R EH1 K OW0 +RECOGNISE R EH1 K AH0 G N AY2 Z +RECOGNISED R EH1 K AH0 G N AY2 Z D +RECOGNISES R EH1 K AH0 G N AY2 Z IH0 Z +RECOGNISING R EH1 K AH0 G N AY2 Z IH0 NG +RECOGNITION R EH2 K AH0 G N IH1 SH AH0 N +RECOGNITION(2) R EH2 K IH0 G N IH1 SH AH0 N +RECOGNITION'S R EH2 K IH0 G N IH1 SH AH0 N Z +RECOGNIZABLE R EH2 K AH0 G N AY1 Z AH0 B AH0 L +RECOGNIZABLY R EH1 K AH0 G N AY2 Z AH0 B L IY0 +RECOGNIZANCE R IH0 K AA1 N AH0 Z AH0 N S +RECOGNIZE R EH1 K AH0 G N AY2 Z +RECOGNIZED R EH1 K AH0 G N AY2 Z D +RECOGNIZES R EH1 K AH0 G N AY2 Z AH0 Z +RECOGNIZES(2) R EH1 K AH0 G N AY2 Z IH0 Z +RECOGNIZING R EH1 K AH0 G N AY2 Z IH0 NG +RECOIL R IY0 K OY1 L +RECOILED R IY0 K OY1 L D +RECOILS R IY0 K OY1 L Z +RECOLLECT R EH2 K AH0 L EH1 K T +RECOLLECT(2) R IY2 K AH0 L EH1 K T +RECOLLECTED R EH2 K AH0 L EH1 K T IH0 D +RECOLLECTED(2) R IY2 K AH0 L EH1 K T IH0 D +RECOLLECTING R EH2 K AH0 L EH1 K T IH0 NG +RECOLLECTING(2) R IY2 K AH0 L EH1 K T IH0 NG +RECOLLECTION R EH2 K AH0 L EH1 K SH AH0 N +RECOLLECTIONS R EH2 K AH0 L EH1 K SH AH0 N Z +RECOLLECTS R EH2 K AH0 L EH1 K T S +RECOLLECTS(2) R IY2 K AH0 L EH1 K T S +RECOMBINANT R IH0 K AA1 M B IH0 N AH0 N T +RECOMBINATION R IY0 K AA2 M B IH0 N EY1 SH AH0 N +RECOMBINE R IY2 K AH0 M B AY1 N +RECOMMEND R EH2 K AH0 M EH1 N D +RECOMMENDATION R EH2 K AH0 M AH0 N D EY1 SH AH0 N +RECOMMENDATIONS R EH2 K AH0 M AH0 N D EY1 SH AH0 N Z +RECOMMENDED R EH2 K AH0 M EH1 N D IH0 D +RECOMMENDING R EH2 K AH0 M EH1 N D IH0 NG +RECOMMENDS R EH2 K AH0 M EH1 N D Z +RECOMMIT R IH0 K AA1 M IH0 T +RECOMMIT(2) R IY2 K AH0 M IH1 T +RECOMMITED R IH0 K AA1 M IH2 T IH0 D +RECOMMITED(2) R IY2 K AH0 M IH1 T IH0 D +RECOMMITS R IH0 K AA1 M IH0 T S +RECOMMITTED R IY2 K AH0 M IH1 T IH0 D +RECOMPENSE R EH1 K AH0 M P EH2 N S +RECON R IY1 K AO0 N +RECONCILE R EH1 K AH0 N S AY2 L +RECONCILED R EH1 K AH0 N S AY2 L D +RECONCILES R EH1 K AH0 N S AY2 L Z +RECONCILIATION R EH2 K AH0 N S IH2 L IY0 EY1 SH AH0 N +RECONCILIATIONS R EH2 K AH0 N S IH2 L IY0 EY1 SH AH0 N Z +RECONCILING R EH1 K AH0 N S AY2 L IH0 NG +RECONDITE R EH1 K AH0 N D AY2 T +RECONDITION R IY2 K AH0 N D IH1 SH AH0 N +RECONDITIONED R IY2 K AH0 N D IH1 SH AH0 N D +RECONDITIONING R IY2 K AH0 N D IH1 SH AH0 N IH0 NG +RECONDITIONING(2) R IY2 K AH0 N D IH1 SH N IH0 NG +RECONFIGURATION R IY0 K AH0 N F IH2 G Y ER0 EY1 SH AH0 N +RECONFIGURE R IY2 K AH0 N F IH1 G Y ER0 +RECONFIGURED R IY2 K AH0 N F IH1 G Y ER0 D +RECONFIRM R IY2 K AH0 N F ER1 M +RECONFIRMATION R IY2 K AA2 N F ER0 M EY1 SH AH0 N +RECONFIRMED R IY2 K AH0 N F ER1 M D +RECONNAISSANCE R IY0 K AA1 N AH0 S AH0 N S +RECONNECT R IY0 K AH0 N EH1 K T +RECONNECTED R IY0 K AH0 N EH1 K T IH0 D +RECONNECTING R IY0 K AH0 N EH1 K T IH0 NG +RECONNECTS R IY0 K AH0 N EH1 K T S +RECONNOITER R IY2 K AH0 N OY1 T ER0 +RECONNOITRE R IY2 K AH0 N OY1 T ER0 +RECONQUER R IY0 K AO1 NG K ER0 +RECONQUERED R IY0 K AO1 NG K ER0 D +RECONSIDER R IY2 K AH0 N S IH1 D ER0 +RECONSIDERATION R IY0 K AH0 N S IH2 D ER0 EY1 SH AH0 N +RECONSIDERED R IY2 K AH0 N S IH1 D ER0 D +RECONSIDERING R IY2 K AH0 N S IH1 D ER0 IH0 NG +RECONSTITUTE R IY0 K AA1 N S T AH0 T UW2 T +RECONSTITUTED R IY0 K AA1 N S T AH0 T UW2 T IH0 D +RECONSTITUTING R IY0 K AA1 N S T IH0 T UW2 T IH0 NG +RECONSTRUCT R IY2 K AH0 N S T R AH1 K T +RECONSTRUCTED R IY2 K AH0 N S T R AH1 K T IH0 D +RECONSTRUCTING R IY2 K AH0 N S T R AH1 K T IH0 NG +RECONSTRUCTION R IY2 K AH0 N S T R AH1 K SH AH0 N +RECONSTRUCTIONS R IY2 K AH0 N S T R AH1 K SH AH0 N Z +RECONSTRUCTIVE R IY2 K AH0 N S T R AH1 K T IH0 V +RECONVENE R IY0 K AH0 N V IY1 N +RECONVENED R IY0 K AH0 N V IY1 N D +RECONVENES R IY0 K AH0 N V IY1 N Z +RECORD R AH0 K AO1 R D +RECORD(2) R EH1 K ER0 D +RECORD(3) R IH0 K AO1 R D +RECORD'S R EH1 K ER0 D Z +RECORDABLE R IH0 K AO1 R D AH0 B AH0 L +RECORDED R AH0 K AO1 R D IH0 D +RECORDED(2) R IH0 K AO1 R D IH0 D +RECORDER R IH0 K AO1 R D ER0 +RECORDER(2) R IY0 K AO1 R D ER0 +RECORDERS R IH0 K AO1 R D ER0 Z +RECORDERS(2) R IY0 K AO1 R D ER0 Z +RECORDING R AH0 K AO1 R D IH0 NG +RECORDING(2) R IH0 K AO1 R D IH0 NG +RECORDINGS R IH0 K AO1 R D IH0 NG Z +RECORDKEEPING R EH1 K ER0 D K IY2 P IH0 NG +RECORDS R AH0 K AO1 R D Z +RECORDS(2) R EH1 K ER0 D Z +RECORDS(3) R IH0 K AO1 R D Z +RECORDS' R EH1 K ER0 D Z +RECORE R EH0 K AO1 R IY0 +RECOTON R IH0 K AO1 T IH0 N +RECOUNT R IH0 K AW1 N T +RECOUNT(2) R IY2 K AW1 N T +RECOUNTED R IH0 K AW1 N T IH0 D +RECOUNTED(2) R IY2 K AW1 N T IH0 D +RECOUNTING R IH0 K AW1 N T IH0 NG +RECOUNTING(2) R IY2 K AW1 N T IH0 NG +RECOUNTS R IY2 K AW1 N T S +RECOUNTS(2) R IH0 K AW1 N T S +RECOUP R IH0 K UW1 P +RECOUPED R IH0 K UW1 P T +RECOUPING R IH0 K UW1 P IH0 NG +RECOUPS R IH0 K UW1 P S +RECOURSE R IY1 K AO0 R S +RECOVER R IH0 K AH1 V ER0 +RECOVERABLE R IH0 K AH1 V ER0 AH0 B AH0 L +RECOVERED R AH0 K AH1 V ER0 D +RECOVERED(2) R IH0 K AH1 V ER0 D +RECOVERIES R IH0 K AH1 V ER0 IY0 Z +RECOVERING R AH0 K AH1 V ER0 IH0 NG +RECOVERING(2) R IH0 K AH1 V ER0 IH0 NG +RECOVERS R IH0 K AH1 V ER0 Z +RECOVERY R IH0 K AH1 V R IY0 +RECOVERY(2) R IH0 K AH1 V ER0 IY0 +RECOVERY'S R IH0 K AH1 V ER0 IY0 Z +RECOVERY'S(2) R IH0 K AH1 V R IY0 Z +RECREATE R EH1 K R IY0 EY2 T +RECREATE(2) R IY0 K R IY0 EY1 T +RECREATED R EH1 K R IY0 EY2 T IH0 D +RECREATED(2) R IY0 K R IY0 EY1 T IH0 D +RECREATES R EH1 K R IY0 EY2 T S +RECREATES(2) R IY0 K R IY0 EY1 T S +RECREATING R EH1 K R IY0 EY2 T IH0 NG +RECREATING(2) R IY0 K R IY0 EY1 T IH0 NG +RECREATION R EH2 K R IY0 EY1 SH AH0 N +RECREATIONAL R EH2 K R IY0 EY1 SH AH0 N AH0 L +RECRIMINATE R IH0 K R IH2 M IH0 N EY1 T +RECRIMINATION R IH0 K R IH2 M IH0 N EY1 SH AH0 N +RECRIMINATIONS R IH0 K R IH2 M IH0 N EY1 SH AH0 N Z +RECROSS R IY0 K R AO1 S +RECRUIT R AH0 K R UW1 T +RECRUIT(2) R IH0 K R UW1 T +RECRUIT(3) R IY0 K R UW1 T +RECRUIT'S R IY0 K R UW1 T S +RECRUITED R IH0 K R UW1 T IH0 D +RECRUITED(2) R IY0 K R UW1 T IH0 D +RECRUITER R IH0 K R UW1 T ER0 +RECRUITERS R IH0 K R UW1 T ER0 Z +RECRUITING R AH0 K R UW1 T IH0 NG +RECRUITING(2) R IH0 K R UW1 T IH0 NG +RECRUITING(3) R IY0 K R UW1 T IH0 NG +RECRUITMENT R AH0 K R UW1 T M AH0 N T +RECRUITMENT(2) R IH0 K R UW1 T M AH0 N T +RECRUITMENT(3) R IY0 K R UW1 T M AH0 N T +RECRUITS R AH0 K R UW1 T S +RECRUITS(2) R IH0 K R UW1 T S +RECRUITS(3) R IY0 K R UW1 T S +RECTAL R EH1 K T AH0 L +RECTANGLE R EH1 K T AE0 NG G AH0 L +RECTANGLES R EH1 K T AE2 NG G AH0 L Z +RECTANGULAR R EH0 K T AE1 NG G Y AH0 L ER0 +RECTENWALD R EH1 K T IH0 N W AO0 L D +RECTIFICATION R EH2 K T AH0 F AH0 K EY1 SH AH0 N +RECTIFIED R EH1 K T AH0 F AY2 D +RECTIFIER R EH1 K T AH0 F AY2 ER0 +RECTIFIERS R EH1 K T AH0 F AY2 ER0 Z +RECTIFIES R EH1 K T AH0 F AY2 Z +RECTIFY R EH1 K T AH0 F AY2 +RECTIFYING R EH1 K T AH0 F AY2 IH0 NG +RECTITUDE R EH1 K T IH0 T UW2 D +RECTOR R EH1 K T ER0 +RECTORY R EH1 K T ER0 IY0 +RECTUM R EH1 K T AH0 M +RECUPERATE R IH0 K UW1 P ER0 EY2 T +RECUPERATED R IH0 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+REDLER R EH1 D L ER0 +REDLEY R EH1 D L IY0 +REDLICH R EH1 D L IH0 K +REDLIN R EH1 D L IH0 N +REDLINGER R EH1 D AH0 L IH0 NG ER0 +REDLINGER(2) R EH1 D L IH0 NG ER0 +REDLINING R EH1 D L AY2 N IH0 NG +REDMAN R EH1 D M AE2 N +REDMANN R EH1 D M AH0 N +REDMON R EH1 D M AH0 N +REDMOND R EH1 D M AH0 N D +REDMUND R EH1 D M AH0 N D +REDNECK R EH1 D N EH2 K +REDNECKS R EH1 D N EH2 K S +REDNER R EH1 D N ER0 +REDNESS R EH1 D N AH0 S +REDNOUR R EH0 D N UH1 R +REDO R IY0 D UW1 +REDOGLIA R AH0 D AA1 G L IY0 AH0 +REDOING R IY0 D UW1 IH0 NG +REDOLENT R EH1 D AH0 L AH0 N T +REDONDO R IH0 D AA1 N D OW0 +REDONE R IY0 D AH1 N +REDOUBLE R IY0 D AH1 B AH0 L +REDOUBLED R IY0 D AH1 B AH0 L D +REDOUBLING R IY0 D AH1 B AH0 L IH0 NG +REDOUBLING(2) R IY0 D AH1 B L IH0 NG +REDOUBT R IY0 D AW1 T +REDOUBTABLE R IY0 D AW1 T AH0 B AH0 L +REDOUND R IY0 D AW1 N D +REDPATH R EH1 D P AE2 TH +REDPOLL R EH1 D P OW2 L +REDPOLLS R EH1 D P OW2 L Z +REDRAFT R IY0 D R AE1 F T +REDRAFTED R IY0 D R AE1 F T IH0 D +REDRAW R IY0 D R AO1 +REDRAWING R IY0 D R AO1 IH0 NG +REDRAWN R IY0 D R AO1 N +REDRESS R IH0 D R EH1 S +REDRESS(2) R IY1 D R EH0 S +REDRESSING R IY0 D R EH1 S IH0 NG +REDS R EH1 D Z +REDS' R EH1 D Z +REDSHAW R EH1 D SH AO2 +REDSKIN R EH1 D S K IH2 N +REDSKINS R EH1 D S K IH2 N Z +REDSKINS' R EH1 D S K IH2 N Z +REDSTONE R EH1 D S T OW2 N +REDSTONE'S R EH1 D S T OW2 N Z +REDUCE R AH0 D UW1 S +REDUCE(2) R IH0 D UW1 S +REDUCE(3) R IY0 D UW1 S +REDUCED R AH0 D UW1 S T +REDUCED(2) R IH0 D UW1 S T +REDUCED(3) R IY0 D UW1 S T +REDUCES R AH0 D UW1 S AH0 Z +REDUCES(2) R IH0 D UW1 S IH0 Z +REDUCES(3) R IY0 D UW1 S IH0 Z +REDUCIBLE R AH0 D UW1 S AH0 B AH0 L +REDUCING R AH0 D UW1 S IH0 NG +REDUCING(2) R IH0 D UW1 S IH0 NG +REDUCING(3) R IY0 D UW1 S IH0 NG +REDUCTION R AH0 D AH1 K SH AH0 N +REDUCTION(2) R IY0 D AH1 K SH AH0 N +REDUCTIONS R IY0 D AH1 K SH AH0 N Z +REDUNDANCIES R IH0 D AH1 N D AH0 N S IY0 Z +REDUNDANCY R IH0 D AH1 N D AH0 N S IY0 +REDUNDANT R IH0 D AH1 N D AH0 N T +REDUS R IY1 D AH0 S +REDUX R IY1 D AH2 K S +REDWALD R EH1 D W AH0 L D +REDWINE R EH1 D W AY2 N +REDWOOD R EH1 D W UH2 D +REDWOODS R EH1 D W UH2 D Z +REE R IY1 +REEB R IY1 B +REEB'S R IY1 B Z +REEBOK R IY1 B AA0 K +REEBOK'S R IY1 B AA0 K S +REEBOKS R IY1 B AA0 K S +REEBS R IY1 B Z +REEBS' R IY1 B Z +REECE R IY1 S +REECHE R IY1 CH +REECK R IY1 K +REED R IY1 D +REED'S R IY1 D Z +REEDER R IY1 D ER0 +REEDERS R IY1 D ER0 Z +REEDS R IY1 D Z +REEDUCATE R IY1 EH2 JH AH0 K EY2 T +REEDUCATION R IY0 EH2 D Y AH0 K EY2 SH AH0 N +REEDUCATION(2) R IY0 EH2 JH AH0 K EY2 SH AH0 N +REEDY R IY1 D IY0 +REEF R IY1 F +REEFER R IY1 F ER0 +REEFERS R IY1 F ER0 Z +REEFS R IY1 F S +REEG R IY1 G +REEH R IY1 +REEK R IY1 K +REEKING R IY1 K IH0 NG +REEKS R IY1 K S +REEL R IY1 L +REELECT R IY0 IH0 L EH1 K T +REELECTED R IY0 IH0 L EH1 K T IH0 D +REELECTING R IY0 IH0 L EH1 K T IH0 NG +REELECTION R IY0 IH0 L EH1 K SH AH0 N +REELED R IY1 L D +REELING R IY1 L IH0 NG +REELS R IY1 L Z +REEMERGE R IY0 IH0 M ER1 JH +REEMERGED R IY0 IH0 M ER1 JH D +REEMERGENCE R IY0 IH0 M ER1 JH AH0 N S +REEMPHASIZE R IY0 EH1 M F AH0 S AY2 Z +REEMPLOYMENT R IY0 IH0 M P L OY1 M AH0 N T +REEN R IY1 N +REENACT R IY0 IH0 N AE1 K T +REENACTED R IY0 IH0 N AE1 K T IH0 D +REENACTMENT R IY0 IH0 N AE1 K T M AH0 N T +REENACTMENTS R IY0 IH0 N AE1 K T M AH0 N T S +REENACTS R IY0 IH0 N AE1 K T S +REENGINEER R IY0 EH2 N JH AH0 N IH1 R +REENGINEERING R IY0 EH2 N JH AH0 N IH1 R IH0 NG +REENTER R IY0 IH1 N T ER0 +REENTERED R IY0 IH1 N T ER0 D +REENTERING R IY0 IH1 N T ER0 IH0 NG +REENTRY R IY0 IH1 N T R IY0 +REENTS R IY1 N T S +REEP R IY1 P +REES R IY1 Z +REESE R IY1 S +REESE'S R IY1 S IH0 Z +REESER R IY1 S ER0 +REESJONES R IY2 S JH OW1 N Z +REESJONES' R IY2 S JH OW1 N Z +REESJONES'(2) R IY2 S JH OW1 N Z AH0 Z +REESMAN R IY1 S M AH0 N +REESOR R IY1 S ER0 +REESTABLISH R IY0 IH0 S T AE1 B L IH0 SH +REESTABLISHED R IY2 IH0 S T AE1 B L IH0 SH T +REESTABLISHING R IY0 IH0 S T AE1 B L IH0 SH IH0 NG +REETZ R IY1 T S +REEVALUATE R IY2 IH0 V AE1 L UW0 EY2 T +REEVALUATED R IY0 IH0 V AE1 L Y UW0 EY2 T IH0 D +REEVALUATING R IY0 IH0 V AE1 L Y UW0 EY2 T IH0 NG +REEVALUATION R IY0 IH0 V AE2 L Y UW0 EY1 SH AH0 N +REEVE R IY1 V +REEVER R IY1 V ER0 +REEVES R IY1 V Z +REEVES' R IY1 V Z +REEVES'S R IY1 V Z IH0 Z +REEXAMINATION R IY0 IH0 G Z AE2 M AH0 N EY1 SH AH0 N +REEXAMINE R IY0 EH0 G Z AE1 M AH0 N +REEXAMINED R IY0 IH0 G Z AE1 M AH0 N D +REEXAMINING R IY0 IH0 G Z AE1 M AH0 N IH0 NG +REEXPORT R IY0 EH1 K S P AO2 R T +REEXPORTS R IY0 EH1 K S P AO2 R T S +REF R EH1 F +REFAAT R AH0 F AA1 T +REFAH R AH0 F AA1 +REFCO R EH1 F K OW0 +REFCORP R EH1 F K AO0 R P +REFENES R EH1 F IH0 N EH2 S +REFENES(2) R IH0 F IY1 N Z +REFER R AH0 F ER1 +REFER(2) R IH0 F ER1 +REFEREE R EH2 F ER0 IY1 +REFEREE'S R EH2 F ER0 IY1 Z +REFEREES R EH2 F ER0 IY1 Z +REFERENCE R EH1 F ER0 AH0 N S +REFERENCE(2) R EH1 F R AH0 N S +REFERENCED R EH1 F ER0 AH0 N S T +REFERENCED(2) R EH1 F R AH0 N S T +REFERENCES R EH1 F ER0 AH0 N S IH0 Z +REFERENCES(2) R EH1 F R AH0 N S IH0 Z +REFERENCING R EH1 F ER0 AH0 N S IH0 NG +REFERENCING(2) R EH1 F R AH0 N S IH0 NG +REFERENDA R EH2 F ER0 EH1 N D AH0 +REFERENDUM R EH2 F ER0 EH1 N D AH0 M +REFERENDUMS R EH2 F ER0 EH1 N D AH0 M Z +REFERING R IH0 F ER1 IH0 NG +REFERRAL R IH0 F ER1 AH0 L +REFERRALS R IH0 F ER1 AH0 L Z +REFERRED R AH0 F ER1 D +REFERRED(2) R IH0 F ER1 D +REFERRING R IH0 F ER1 IH0 NG +REFERS R AH0 F ER1 Z +REFERS(2) R IH0 F ER1 Z +REFF R EH1 F +REFFETT R EH1 F IH0 T +REFFITT R EH1 F IH0 T +REFFNER R EH1 F N ER0 +REFILE R IY0 F AY1 L +REFILED R IY0 F AY1 L D +REFILL R IY1 F IH0 L +REFILL(2) R IY0 F IH1 L +REFILLED R IY0 F IH1 L D +REFILLS R IY0 F IH1 L Z +REFILLS(2) R IY1 F IH0 L Z +REFINANCE R IY2 F AH0 N AE1 N S +REFINANCE(2) R IY1 F AY1 N AE2 N S +REFINANCED R IY2 F AH0 N AE1 N S T +REFINANCED(2) R IY1 F AY1 N AE2 N S T +REFINANCES R IY2 F AH0 N AE1 N S IH0 Z +REFINANCES(2) R IY1 F AY1 N AE2 N S IH0 Z +REFINANCING R IY2 F AH0 N AE1 N S IH0 NG +REFINANCING(2) R IY1 F AY1 N AE2 N S IH0 NG +REFINANCINGS R IY2 F AH0 N AE1 N S IH0 NG Z +REFINANCINGS(2) R IY1 F AY1 N AE2 N S IH0 NG Z +REFINE R AH0 F AY1 N +REFINE(2) R IH0 F AY1 N +REFINED R AH0 F AY1 N D +REFINED(2) R IH0 F AY1 N D +REFINEMENT R AH0 F AY1 N M AH0 N T +REFINEMENTS R IH0 F AY1 N M AH0 N T S +REFINER R IH0 F AY1 N ER0 +REFINER'S R IH0 F AY1 N ER0 Z +REFINERIES R IH0 F AY1 N ER0 IY0 Z +REFINERS R IH0 F AY1 N ER0 Z +REFINERS' R IH0 F AY1 N ER0 Z +REFINERY R IH0 F AY1 N ER0 IY0 +REFINERY'S R IH0 F AY1 N ER0 IY0 Z +REFINES R IH0 F AY1 N Z +REFINING R AH0 F AY1 N IH0 NG +REFINING(2) R IH0 F AY1 N IH0 NG +REFINISH R IY0 F IH1 N IH0 SH +REFINISHED R IY0 F IH1 N IH0 SH T +REFINISHING R IY0 F IH1 N IH0 SH IH0 NG +REFIT R IY0 F IH1 T +REFITTED R IY0 F IH1 T IH0 D +REFITTING R IY0 F IH1 T IH0 NG +REFLAG R IY0 F L AE1 G +REFLAGGED R IY0 F L AE1 G D +REFLAGGING R IY0 F L AE1 G IH0 NG +REFLATE R IY0 F L EY1 T +REFLATION R IY0 F L EY1 SH AH0 N +REFLECT R IH0 F L EH1 K T +REFLECTED R IH0 F L EH1 K T IH0 D +REFLECTING R IH0 F L EH1 K T IH0 NG +REFLECTION R IH0 F L EH1 K SH AH0 N +REFLECTIONS R IH0 F L EH1 K SH AH0 N Z +REFLECTIVE R IH0 F L EH1 K T IH0 V +REFLECTONE R IY0 F L EH1 K T OW2 N +REFLECTONE'S R IY0 F L EH1 K T OW2 N Z +REFLECTOR R IH0 F L EH1 K T ER0 +REFLECTORS R IH0 F L EH1 K T ER0 Z +REFLECTS R IH0 F L EH1 K T S +REFLEX R IY1 F L EH0 K S +REFLEXES R IY1 F L EH0 K S AH0 Z +REFLEXIVE R AH0 F L EH1 K S IH0 V +REFLEXIVELY R IY0 F L EH1 K S IH0 V L IY0 +REFLEXIVITY R IY2 F L EH2 K S IH1 V IH0 T IY0 +REFLUX R IY1 F L AH2 K S +REFOCUS R IY0 F OW1 K AH0 S +REFOCUSED R IY0 F OW1 K AH0 S T +REFOCUSES R IY0 F OW1 K AH0 S IH0 Z +REFOCUSING R IY0 F OW1 K AH0 S IH0 NG +REFOREST R IY0 F AO1 R AH0 S T +REFORESTATION R IY2 F AO0 R AH0 S T EY1 SH AH0 N +REFORM R AH0 F AO1 R M +REFORM(2) R IH0 F AO1 R M +REFORMA R IH0 F AO1 R M AH0 +REFORMATION R EH2 F ER0 M EY1 SH AH0 N +REFORMATORIES R IH0 F AO1 R M AH0 T AO2 R IY0 Z +REFORMATORY R IH0 F AO1 R M AH0 T AO2 R IY0 +REFORMED R IH0 F AO1 R M D +REFORMER R IH0 F AO1 R M ER0 +REFORMERS R IH0 F AO1 R M ER0 Z +REFORMERS' R IH0 F AO1 R M ER0 Z +REFORMING R IH0 F AO1 R M IH0 NG +REFORMIST R IH0 F AO1 R M IH0 S T +REFORMISTS R IH0 F AO1 R M IH0 S T S +REFORMS R AH0 F AO1 R M Z +REFORMS(2) R IH0 F AO1 R M Z +REFORMULATE R IY0 F AO1 R M Y AH0 L EY2 T +REFORMULATED R IY0 F AO1 R M Y AH0 L EY2 T IH0 D +REFRACTIVE R AH0 F R AE1 K T IH0 V +REFRACTOR R AH0 F R AE1 K T ER0 +REFRACTORIES R IH0 F R AE1 K T ER0 IY0 Z +REFRACTORS R AH0 F R AE1 K T ER0 Z +REFRACTORY R AH0 F R AE1 K T ER0 IY0 +REFRAIN R IH0 F R EY1 N +REFRAINED R IH0 F R EY1 N D +REFRAINING R IH0 F R EY1 N IH0 NG +REFRAINS R IH0 F R EY1 N Z +REFRESH R IH0 F R EH1 SH +REFRESHED R IY0 F R EH1 SH T +REFRESHER R IH0 F R EH1 SH ER0 +REFRESHES R IH0 F R EH1 SH IH0 Z +REFRESHING R IH0 F R EH1 SH IH0 NG +REFRESHINGLY R IY0 F R EH1 SH IH0 NG L IY0 +REFRESHMENT R AH0 F R EH1 SH M AH0 N T +REFRESHMENTS R AH0 F R EH1 SH M AH0 N T S +REFRIGERANT R IH0 F R IH1 JH ER0 AH0 N T +REFRIGERANTS R IH0 F R IH1 JH ER0 AH0 N T S +REFRIGERATE R IH0 F R IH1 JH ER0 EY2 T +REFRIGERATED R IH0 F R IH1 JH ER0 EY2 T IH0 D +REFRIGERATION R IH0 F R IH2 JH ER0 EY1 SH AH0 N +REFRIGERATOR R AH0 F R IH1 JH ER0 EY2 T ER0 +REFRIGERATOR(2) R IH0 F R IH1 JH ER0 EY2 T ER0 +REFRIGERATORS R IH0 F R IH1 JH ER0 EY2 T ER0 Z +REFSNES R EH1 F S N IY0 Z +REFUEL R IY0 F Y UW1 AH0 L +REFUELED R IY0 F Y UW1 AH0 L D +REFUELING R IY0 F Y UW1 AH0 L IH0 NG +REFUELING(2) R IY0 F Y UW1 L IH0 NG +REFUGE R EH1 F Y UW0 JH +REFUGE'S R EH1 F Y UW0 JH IH0 Z +REFUGEE R EH1 F Y UW0 JH IY0 +REFUGEES R EH1 F Y UW2 JH IY0 Z +REFUGEES' R EH1 F Y UW2 JH IY0 Z +REFUGES R EH0 F Y UW1 JH IH0 Z +REFUGIO R AH0 F Y UW1 JH IY0 OW0 +REFUND R IH0 F AH1 N D +REFUND(2) R IY1 F AH2 N D +REFUNDABLE R IH0 F AH1 N D AH0 B AH0 L +REFUNDED R IH0 F AH1 N D IH0 D +REFUNDERS R IH0 F AH1 N D ER0 Z +REFUNDING R IH0 F AH1 N D IH0 NG +REFUNDINGS R IY1 F AH2 N D IH0 NG Z +REFUNDS R IH0 F AH1 N D Z +REFUNDS(2) R IY1 F AH2 N D Z +REFURBISH R IY0 F ER1 B IH0 SH +REFURBISHED R IY0 F ER1 B IH0 SH T +REFURBISHING R IY0 F ER1 B IH0 SH IH0 NG +REFURBISHMENT R IY0 F ER1 B IH0 SH M AH0 N T +REFUSAL R AH0 F Y UW1 Z AH0 L +REFUSAL(2) R IH0 F Y UW1 Z AH0 L +REFUSALS R IH0 F Y UW1 Z AH0 L Z +REFUSE R AH0 F Y UW1 Z +REFUSE(2) R EH1 F Y UW2 Z +REFUSE(3) R IH0 F Y UW1 Z +REFUSED R AH0 F Y UW1 Z D +REFUSED(2) R IH0 F Y UW1 Z D +REFUSENIK R IH0 F Y UW1 Z N IH0 K +REFUSENIKS R IH0 F Y UW1 Z N IH0 K S +REFUSES R AH0 F Y UW1 Z AH0 Z +REFUSES(2) R IH0 F Y UW1 Z IH0 Z +REFUSING R AH0 F Y UW1 Z IH0 NG +REFUSING(2) R IH0 F Y UW1 Z IH0 NG +REFUTATION R EH2 F Y UW0 T EY1 SH AH0 N +REFUTE R IH0 F Y UW1 T +REFUTED R IH0 F Y UW1 T IH0 D +REFUTES R IH0 F Y UW1 T S +REFUTING R IH0 F Y UW1 T IH0 NG +REG R EH1 G +REGA R IY1 G AH0 +REGAIN R IH0 G EY1 N +REGAINED R IY0 G EY1 N D +REGAINING R IH0 G EY1 N IH0 NG +REGAINS R IY0 G EY1 N Z +REGAL R IY1 G AH0 L +REGALADO R EY0 G AA0 L AA1 D OW0 +REGALE R IH0 G EY1 L +REGALED R IH0 G EY1 L D +REGALES R IH0 G EY1 L Z +REGALIA R IH0 G EY1 L Y AH0 +REGALING R IH0 G EY1 L IH0 NG +REGALLY R IY1 G AH0 L IY0 +REGAN R IY1 G AH0 N +REGAN'S R IY1 G AH0 N Z +REGARD R IH0 G AA1 R D +REGARDED R IH0 G AA1 R D IH0 D +REGARDING R IH0 G AA1 R D IH0 NG +REGARDLESS R AH0 G AA1 R D L AH0 S +REGARDS R IH0 G AA1 R D Z +REGAS R IY1 G AH0 Z +REGATTA R IH0 G AA1 T AH0 +REGATTAS R AH0 G AA1 T AH0 Z +REGEHR R EH1 G IH0 R +REGEL R EH1 G AH0 L +REGEN R EH1 G AH0 N +REGENCY R IY1 JH AH0 N S IY0 +REGENCY'S R IY1 JH AH0 N S IY0 Z +REGENERATE R IY0 JH EH1 N ER0 EY2 T +REGENERATED R IY0 JH EH1 N ER0 EY2 T IH0 D +REGENERATING R IY0 JH EH1 N ER0 EY2 T IH0 NG +REGENERATION R IY0 JH EH1 N ER0 EY1 SH AH0 N +REGENERON R IY0 JH EH1 N ER0 AO2 N +REGENSBURG R IY1 G AH0 N Z B ER0 G +REGENSTEINER R EH1 G AH0 N S T AY2 N ER0 +REGENT R IY1 JH AH0 N T +REGENTS R IY1 JH AH0 N T S +REGER R IY1 G ER0 +REGESTER R EH1 JH IH0 S T ER0 +REGGAE R EH1 G EY2 +REGGAETON R EH2 G EY0 T OW1 N +REGGIE R EH1 JH IY0 +REGGIO R EH1 JH IY0 OW0 +REGGY R EH1 G IY0 +REGIE R EH1 G IY0 +REGIER R IY1 G IY0 ER0 +REGIME R AH0 ZH IY1 M +REGIME(2) R EY0 ZH IY1 M +REGIME'S R EY0 ZH IY1 M Z +REGIMEN R EH1 JH AH0 M AH0 N +REGIMENS R EH1 JH AH0 M AH0 N Z +REGIMENT R EH1 JH AH0 M AH0 N T +REGIMENTAL R EH2 JH AH0 M EH1 N T AH0 L +REGIMENTATION R EH2 JH AH0 M EH0 N T EY1 SH AH0 N +REGIMENTED R EH1 JH AH0 M EH2 N T IH0 D +REGIMENTS R EH1 JH AH0 M AH0 N T S +REGIMES R AH0 ZH IY1 M Z +REGIMES(2) R EY0 ZH IY1 M Z +REGINA R IH0 JH IY1 N AH0 +REGINALD R EH1 JH AH0 N AH0 L D +REGINALD'S R EH1 JH AH0 N AH0 L D Z +REGION R IY1 JH AH0 N +REGION'S R IY1 JH AH0 N Z +REGIONAL R IY1 JH AH0 N AH0 L +REGIONALIZE R IY1 JH AH0 N AH0 L AY2 Z +REGIONALIZED R IY1 JH AH0 N AH0 L AY2 Z D +REGIONALLY R IY1 JH AH0 N AH0 L IY0 +REGIONALS R IY1 JH AH0 N AH0 L Z +REGIONS R IY1 JH AH0 N Z +REGIS R IY1 JH IH0 S +REGISTER R EH1 JH IH0 S T ER0 +REGISTER'S R EH1 JH IH0 S T ER0 Z +REGISTERED R EH1 JH IH0 S T ER0 D +REGISTERING R EH1 JH IH0 S T ER0 IH0 NG +REGISTERING(2) R EH1 JH IH0 S T R IH0 NG +REGISTERS R EH1 JH AH0 S T ER0 Z +REGISTERS(2) R EH1 JH IH0 S T ER0 Z +REGISTRANT R EH1 JH AH0 S T R AH0 N T +REGISTRANTS R EH1 JH AH0 S T R AH0 N T S +REGISTRAR R EH1 JH IH0 S T R AA2 R +REGISTRARS R EH1 JH IH0 S T R AA2 R Z +REGISTRATION R EH2 JH IH0 S T R EY1 SH AH0 N +REGISTRATIONS R EH2 JH IH0 S T R EY1 SH AH0 N Z +REGISTRIES R EH1 JH IH0 S T R IY0 Z +REGISTRY R EH1 JH IH0 S T R IY0 +REGNER R EH1 G N ER0 +REGNERY R EH1 G N ER0 IY0 +REGNIER R EH1 G N IY0 ER0 +REGO R EH1 G OW0 +REGRESS R IY1 G R EH0 S +REGRESS(2) R IH0 G R EH1 S +REGRESSION R AH0 G R EH1 SH AH0 N +REGRESSIONS R AH0 G R EH1 SH AH0 N Z +REGRESSIVE R AH0 G R EH1 S IH0 V +REGRET R AH0 G R EH1 T +REGRET(2) R IH0 G R EH1 T +REGRETFUL R IH0 G R EH1 T F AH0 L +REGRETFULLY R IH0 G R EH1 T F AH0 L IY0 +REGRETS R IH0 G R EH1 T S +REGRETTABLE R IH0 G R EH1 T AH0 B AH0 L +REGRETTABLY R IH0 G R EH1 T AH0 B L IY0 +REGRETTED R IH0 G R EH1 T IH0 D +REGRETTING R IH0 G R EH1 T IH0 NG +REGROUP R IY0 G R UW1 P +REGROUPED R IY0 G R UW1 P T +REGROUPING R IY0 G R UW1 P IH0 NG +REGS R EH1 G Z +REGULA R EH0 G UW1 L AH0 +REGULAR R EH1 G Y AH0 L ER0 +REGULAR(2) R EY1 G Y AH0 L ER0 +REGULARITY R EH2 G Y AH0 L EH1 R AH0 T IY0 +REGULARLY R EH1 G Y AH0 L ER0 L IY0 +REGULARS R EH1 G Y AH0 L ER0 Z +REGULATE R EH1 G Y AH0 L EY2 T +REGULATED R EH1 G Y AH0 L EY2 T IH0 D +REGULATES R EH1 G Y AH0 L EY2 T S +REGULATING R EH1 G Y AH0 L EY2 T IH0 NG +REGULATINGLY R EH1 G Y AH0 L EY2 T IH0 NG L IY0 +REGULATION R EH2 G Y AH0 L EY1 SH AH0 N +REGULATIONS R EH2 G Y AH0 L EY1 SH AH0 N Z +REGULATIVE R EH1 G Y AH0 L EY2 T IH0 V +REGULATOR R EH1 G Y AH0 L EY2 T ER0 +REGULATOR'S R EH1 G Y AH0 L EY2 T ER0 Z +REGULATORS R EH1 G Y AH0 L EY2 T ER0 Z +REGULATORS' R EH1 G Y AH0 L EY2 T ER0 Z +REGULATORY R EH1 G Y AH0 L AH0 T AO2 R IY0 +REGURGITATE R IH2 G ER1 JH AH0 T EY2 T +REGWAN R EH1 G W AA0 N +REH R EH1 +REHA R IY1 HH AH0 +REHAB R IY0 HH AE0 B +REHABILITATE R IY2 HH AH0 B IH1 L AH0 T EY2 T +REHABILITATE(2) R IY2 AH0 B IH1 L AH0 T EY2 T +REHABILITATED R IY2 HH AH0 B IH1 L AH0 T EY2 T IH0 D +REHABILITATED(2) R IY2 AH0 B IH1 L AH0 T EY2 T IH0 D +REHABILITATING R IY2 HH AH0 B IH1 L AH0 T EY2 T IH0 NG +REHABILITATING(2) R IY2 AH0 B IH1 L AH0 T EY2 T IH0 NG +REHABILITATION R IY2 HH AH0 B IH2 L AH0 T EY1 SH AH0 N +REHABILITATION(2) R IY2 AH0 B IH2 L AH0 T EY1 SH AH0 N +REHABILITATIONS R IY2 HH AH0 B IH2 L AH0 T EY1 SH AH0 N Z +REHABILITATIONS(2) R IY2 AH0 B IH2 L AH0 T EY1 SH AH0 N Z +REHABILITATIVE R IY2 HH AH0 B IH1 L AH0 T EY2 T IH0 V +REHABILITATIVE(2) R IY2 AH0 B IH1 L AH0 T EY2 T IH0 V +REHABILITATOR R IY2 HH AH0 B IH1 L AH0 T EY0 T ER0 +REHABILITATORS R IY2 HH AH0 B IH1 L AH0 T EY0 T ER0 Z +REHABILITY R IY2 HH AH0 B IH1 L AH0 T IY0 +REHABILITY(2) R IY2 AH0 B IH1 L AH0 T IY0 +REHAK R EH1 HH AH0 K +REHASH R IY0 HH AE1 SH +REHASHING R IY0 HH AE1 SH IH0 NG +REHBEIN R EH1 B AY0 N +REHBEIN(2) R EH1 B IY0 N +REHBERG R EH1 B ER0 G +REHBERGER R EH1 B ER0 G ER0 +REHDER R EH1 D ER0 +REHEAR R IY0 HH IY1 R +REHEARING R IY0 HH IY1 R IH0 NG +REHEARINGS R IY0 HH IY1 R IH0 NG Z +REHEARSAL R IH0 HH ER1 S AH0 L +REHEARSAL(2) R IY0 HH ER1 S AH0 L +REHEARSALS R IH0 HH ER1 S AH0 L Z +REHEARSE R IY0 HH ER1 S +REHEARSED R IY0 HH ER1 S T +REHEARSES R IY0 HH ER1 S IH0 Z +REHEARSING R IH0 HH ER1 S IH0 NG +REHER R EH1 R +REHFELD R EH1 F EH2 L D +REHFELDT R EH1 F EH2 L T +REHG R EH1 JH +REHIRE R IY0 HH AY1 R +REHIRED R IY0 HH AY1 ER0 D +REHIRING R IY0 HH AY1 R IH0 NG +REHKOPF R EH1 K AO0 P F +REHKOPF(2) R EH1 K AO0 F +REHLING R EH1 L IH0 NG +REHM R EH1 M +REHMAN R EH1 M AH0 N +REHMANN R EH1 M AH0 N +REHMER R EH1 M ER0 +REHN R EH1 N +REHNQUIST R EH1 N K W IH2 S T +REHOR R EH1 HH ER0 +REHRIG R EH1 R IH0 G +REHYDRATE R IY0 HH AY1 D R EY0 T +REHYDRATION R IY2 HH AY0 D R EY1 SH AH0 N +REIBEL R AY1 B AH0 L +REIBER R AY1 B ER0 +REICH R AY1 K +REICH'S R AY1 K S +REICHARD R AY1 K ER0 D +REICHARDT R AY1 K AA0 R T +REICHART R IY1 IH0 K HH AA0 R T +REICHE R AY1 K +REICHEL R AY1 K AH0 L +REICHELDERFER R AY1 K IH0 L D ER0 F ER0 +REICHELT R AY1 K IH0 L T +REICHENBACH R AY1 K AH0 N B AA2 K +REICHENBERG R AY1 K AH0 N B ER0 G +REICHENBERGER R AY1 K AH0 N B ER0 G ER0 +REICHER R AY1 K ER0 +REICHERT R AY1 K ER0 T +REICHHOLD R AY1 K HH OW2 L D +REICHHOLD(2) R AY1 K OW2 L D +REICHHOLD'S R AY1 K HH OW2 L D Z +REICHHOLD'S(2) R AY1 K OW2 L D Z +REICHL R AY1 K AH0 L +REICHLE R AY1 K AH0 L +REICHLER R AY1 K L ER0 +REICHLEY R AY1 K L IY0 +REICHLIN R AY1 K L IH0 N +REICHLING R AY1 K AH0 L IH0 NG +REICHLING(2) R AY1 K L IH0 NG +REICHMAN R AY1 K M AH0 N +REICHMANN R AY1 K M AH0 N +REICHMANNS R AY1 K M AH0 N Z +REICHMUTH R AY1 K M UW2 TH +REICHOW R AY1 K OW0 +REICHSTUHL R AY1 K S T UW0 L +REICHWEIN R AY1 K W AY2 N +REICK R IY1 K +REICKS R AY1 K S +REID R IY1 D +REID'S R IY1 D Z +REID-MILLER R IY1 D M IH1 L ER0 +REIDEL R AY1 D AH0 L +REIDENBACH R AY1 D IH0 N B AA0 K +REIDER R IY1 D ER0 +REIDERS R IY1 D ER0 Z +REIDERS' R IY1 D ER0 Z +REIDINGER R AY1 D IH0 NG ER0 +REIDT R IY1 D T +REIDY R IY1 D IY0 +REIER R EY1 ER0 +REIERSON R AY1 ER0 S AH0 N +REIF R IY1 F +REIFEL R AY1 F AH0 L +REIFF R IY1 F +REIFSCHNEIDER R AY1 F SH N AY0 D ER0 +REIFSNYDER R AY1 F S N AY0 D ER0 +REIFSTECK R AY1 F S T IH0 K +REIGEL R AY1 G AH0 L +REIGER R AY1 G ER0 +REIGHARD R AY1 G HH ER0 D +REIGLE R IY1 G AH0 L +REIGN R EY1 N +REIGNED R EY1 N D +REIGNING R EY1 N IH0 NG +REIGNITE R IY2 IH0 G N AY1 T +REIGNITED R IY2 IH0 G N AY1 T IH0 D +REIGNITING R IY2 IH0 G N AY1 T IH0 NG +REIGNS R EY1 N Z +REIHER R AY1 HH ER0 +REIHL R AY1 L +REIKI R EY1 K IY0 +REIL R EY1 L +REILAND R AY1 L AH0 N D +REILEY R EY1 L IY0 +REILING R AY1 L IH0 NG +REILLEY R EY1 L IY0 +REILLY R AY1 L IY0 +REILLY'S R AY1 L IY0 Z +REILY R IY1 L IY0 +REIM R IY1 M +REIMAN R AY1 M AH0 N +REIMANN R AY1 M AH0 N +REIMBURSE R IY2 IH0 M B ER1 S +REIMBURSED R IY2 IH0 M B ER1 S T +REIMBURSEMENT R IY2 IH0 M B ER1 S M AH0 N T +REIMBURSEMENTS R IY2 IH0 M B ER1 S M AH0 N T S +REIMBURSES R IY2 IH0 M B ER1 S IH0 Z +REIMBURSING R IY2 IH0 M B ER1 S IH0 NG +REIMER R AY1 M ER0 +REIMERS R AY1 M ER0 Z +REIMPOSE R IY2 IH0 M P OW1 Z +REIMPOSED R IY2 IH0 M P OW1 Z D +REIMPOSING R IY2 IH0 M P OW1 Z IH0 NG +REIMPOSITION R IY2 IH0 M P AH0 Z IH1 SH AH0 N +REIMS R IY1 M Z +REIN R EY1 N +REINA R EY0 IY1 N AH0 +REINALDO R EY2 N AA1 L D OW0 +REINARD R AY1 N ER0 D +REINBOLD R AY1 N B OW2 L D +REINBOLT R AY1 N B OW2 L T +REINCARNATE R IY2 IH0 N K AA1 R N EY2 T +REINCARNATED R IY2 IH0 N K AA1 R N EY2 T IH0 D +REINCARNATION R IY2 IH0 N K AA0 R N EY1 SH AH0 N +REINCKE R AY1 NG K IY0 +REINCORPORATE R IY2 IH0 N K AO1 R P ER0 EY2 T +REINCORPORATING R IY2 IH0 N K AO1 R P ER0 EY2 T IH0 NG +REINCORPORATION R IY2 IH0 N K AO2 R P ER0 EY1 SH AH0 N +REINDEER R EY1 N D IH2 R +REINDEL R AY1 N D AH0 L +REINDERS R AY1 N D ER0 Z +REINDL R AY1 N D AH0 L +REINDUSTRIALIZE R IY0 IH0 N D AH1 S T R IY0 AH0 L AY0 Z +REINE R EY1 N +REINECK R AY1 N EH0 K +REINECKE R AY1 N IH0 K IY0 +REINED R EY1 N D +REINEKE R AY1 N IH0 K +REINER R AY1 N ER0 +REINER'S R AY1 N ER0 Z +REINERS R AY1 N ER0 Z +REINERT R AY1 N ER0 T +REINERTSEN R AY1 N ER0 T S AH0 N +REINERTSON R AY1 N ER0 T S AH0 N +REINES R EY1 N Z +REINEY R EY1 N IY0 +REINFORCE R IY2 IH0 N F AO1 R S +REINFORCED R IY2 IH0 N F AO1 R S T +REINFORCEMENT R IY2 IH0 N F AO1 R S M AH0 N T +REINFORCEMENTS R IY2 IH0 N F AO1 R S M AH0 N T S +REINFORCES R IY2 IH0 N F AO1 R S IH0 Z +REINFORCING R IY2 IH0 N F AO1 R S IH0 NG +REINGOLD R AY1 NG G OW0 L D +REINHARD R AY1 N HH AA2 R D +REINHARDT R AY1 N HH AA2 R T +REINHART R AY1 N HH AA2 R T +REINHART'S R AY1 N HH AA0 R T S +REINHEIMER R AY1 N HH AY2 M ER0 +REINHOLD R AY1 N HH OW0 L T +REINHOLZ R AY1 N HH OW0 L Z +REINIG R AY1 N IH0 G +REINING R EY1 N IH0 NG +REININGER R AY1 N IH0 NG ER0 +REINITZ R AY1 N IH0 T S +REINKE R EY1 NG K +REINKING R AY1 NG K IH0 NG +REINOEHL R AY1 N OW0 L +REINS R EY1 N Z +REINSCH R AY1 N SH +REINSDORF R AY1 N Z D AO2 R F +REINSEL R AY1 N S AH0 L +REINSPECT R IY2 IH0 N S P EH1 K T +REINSPECTION R IY2 IH0 N S P EH1 K SH AH0 N +REINSPECTIONS R IY2 IH0 N S P EH1 K SH AH0 N S +REINSTALL R IY2 IH0 N S T AA1 L +REINSTALLED R IY2 IH0 N S T AA1 L D +REINSTALLS R IY2 IH0 N S T AA1 L Z 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+REMEMBERED R IH0 M EH1 M B ER0 D +REMEMBERED(2) R IY0 M EH1 M B ER0 D +REMEMBERING R IH0 M EH1 M B ER0 IH0 NG +REMEMBERING(2) R IY0 M EH1 M B ER0 IH0 NG +REMEMBERING(3) R IH0 M EH1 M B R IH0 NG +REMEMBERING(4) R IY0 M EH1 M B R IH0 NG +REMEMBERS R IH0 M EH1 M B ER0 Z +REMEMBERS(2) R IY0 M EH1 M B ER0 Z +REMEMBRANCE R IY0 M EH1 M B R AH0 N S +REMEMBRANCES R IH0 M EH1 M B R AH0 N S IH0 Z +REMER R IY1 M ER0 +REMERCHANDISE R IY0 M ER1 CH AH0 N D AY2 Z +REMERCHANDISED R IY0 M ER1 CH AH0 N D AY2 Z D +REMERCI R IH0 M ER1 S IY0 +REMI R EH1 M IY0 +REMIC R EH1 M IH0 K +REMICK R EH1 M IH0 K +REMICS R EH1 M IH0 K S +REMIGIO R IH0 M IH1 JH IY0 OW0 +REMILLARD R EH1 M IH0 L ER0 D +REMIND R IY0 M AY1 N D +REMINDED R IY0 M AY1 N D IH0 D +REMINDER R IY0 M AY1 N D ER0 +REMINDERS R IY0 M AY1 N D ER0 Z +REMINDING R IY0 M AY1 N D IH0 NG +REMINDS R IY0 M AY1 N D Z +REMINGTON R EH1 M IH0 NG T AH0 N +REMINGTONS R EH1 M IH0 NG T AH0 N Z +REMINISCE R EH2 M AH0 N IH1 S +REMINISCED R EH2 M AH0 N IH1 S T 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EH1 N F R AW0 +RENGEL R EH1 NG G AH0 L +RENGO R EH1 NG G OW0 +RENGO'S R EH1 NG G OW0 Z +RENICK R EH1 N IH0 K +RENIER R IY1 N IY0 ER0 +RENIN R IY1 N AH0 N +RENISON R EH1 N IH0 S AH0 N +RENITA R EH0 N IY1 T AH0 +RENK R EH1 NG K +RENKEN R EH1 NG K AH0 N +RENKO R EH1 NG K OW0 +RENMINBI R EH0 N M IH1 N B IY0 +RENN R EH1 N +RENNA R EH1 N AH0 +RENNARD R IH0 N AA1 R D +RENNE R EH1 N +RENNELS R EH1 N AH0 L Z +RENNER R EH1 N ER0 +RENNERT R EH1 N ER0 T +RENNET R EH1 N AH0 T +RENNICK R EH1 N IH0 K +RENNIE R EH1 N IY0 +RENNINGER R EH1 N IH0 NG ER0 +RENNO R EH1 N OW0 +RENNY R EH1 N IY0 +RENO R IY1 N OW0 +RENO'S R IY1 N OW0 Z +RENOIR R EH0 N W AA1 R +RENOIRS R EH0 N W AA1 R Z +RENOMINATE R IY0 N AO1 M IH0 N EY2 T +RENOMINATED R IY0 N AA1 M AH0 N EY2 T IH0 D +RENOMINATION R IY1 N AA2 M AH0 N EY1 SH AH0 N +RENOUF R AH0 N UW1 F +RENOUNCE R IH0 N AW1 N S +RENOUNCED R IH0 N AW1 N S T +RENOUNCES R IH0 N AW1 N S IH0 Z +RENOUNCING R IH0 N AW1 N S IH0 NG +RENOVATABLE R EH1 N AH0 V EY2 T AH0 B AH0 L +RENOVATE R EH1 N AH0 V EY2 T +RENOVATED R EH1 N AH0 V EY2 T IH0 D +RENOVATING R EH1 N AH0 V EY2 T IH0 NG +RENOVATION R EH2 N AH0 V EY1 SH AH0 N +RENOVATIONS R EH1 N AH0 V EY2 SH AH0 N Z +RENOVATOR R EH1 N AH0 V EY2 T ER0 +RENOVATORS R EH1 N AH0 V EY2 T ER0 Z +RENOWN R IH0 N AW1 N +RENOWNED R IH0 N AW1 N D +RENQUIST R EH1 N K W IH0 S T +RENS R EH1 N Z +RENSBERGER R EH1 N S B ER0 G ER0 +RENSCH R EH1 N SH +RENSCHLER R EH1 N SH AH0 L ER0 +RENSCHLER(2) R EH1 N SH L ER0 +RENSHAW R EH1 N SH AO2 +RENSING R EH1 N S IH0 NG +RENSSELAER R EH2 N S AH0 L IH1 R +RENSTROM R EH1 N S T R AH0 M +RENT R EH1 N T +RENTA R EH1 N T AH0 +RENTABLE R EH1 N T AH0 B AH0 L +RENTAL R EH1 N T AH0 L +RENTALS R EH1 N T AH0 L Z +RENTAS R EH1 N T AH0 Z +RENTED R EH1 N T IH0 D +RENTER R EH1 N T ER0 +RENTERIA R EH0 N T EH1 R IY0 AH0 +RENTERS R EH1 N T ER0 Z +RENTFRO R EH1 N T F R OW0 +RENTFROW R EH1 N T F R AW0 +RENTIER R EH1 T IY2 ER0 +RENTING R EH1 N T IH0 NG +RENTMEESTER R EH1 N T M IY2 S T ER0 +RENTON R EH1 N T AH0 N +RENTS R EH1 N T S +RENTSCH R EH1 N CH +RENTSCHLER R EH1 N CH L ER0 +RENTZ R EH1 N T S +RENUNCIATE R IH0 N AH1 N S IY0 EY2 T +RENUNCIATION R IH0 N AH2 N S IY0 EY1 SH AH0 N +RENUZIT R IY0 N UW1 Z IH0 T +RENWICK R EH1 N W IH0 K +RENY R IY1 N IY0 +RENZ R EH1 N Z +RENZI R EH1 N Z IY0 +RENZULLI R EH0 N Z UW1 L IY0 +REO R IY1 OW0 +REOCCUPY R IY0 AO1 K Y UW2 P AY0 +REOCCUR R IY0 AH0 K ER1 +REOFFEND R IY0 AO0 F EH1 N D +REOFFENDED R IY0 AO0 F EH1 N D IH0 D +REOFFER R IY0 AO1 F ER0 +REOFFERED R IY0 AO1 F ER0 D +REOFFERING R IY0 AO1 F ER0 IH0 NG +REOPEN R IY0 OW1 P AH0 N +REOPENED R IY0 OW1 P AH0 N D +REOPENING R IY0 OW1 P AH0 N IH0 NG +REOPENS R IY0 OW1 P AH0 N Z +REORDER R IY0 AO1 R D ER0 +REORDERING R IY0 AO1 R D ER0 IH0 NG +REORGANIZATION R IY2 AO0 R G AH0 N AH0 Z EY1 SH AH0 N +REORGANIZATIONS R IY0 AO2 R G AH0 N IH0 Z EY1 SH AH0 N Z +REORGANIZE R IY0 AO1 R G AH0 N AY2 Z +REORGANIZED R IY0 AO1 R G AH0 N AY2 Z D +REORGANIZES R IY0 AO1 R G AH0 N AY2 Z IH0 Z +REORGANIZING R IY0 AO1 R G AH0 N AY2 Z IH0 NG +REORIENT R IY0 AO1 R IY0 EH0 N T +REORIENTATE R IY0 AO1 R IY0 EH0 N T EY0 T +REP R EH1 P +REP(2) R EH0 P R IY0 Z EH1 T AH0 T IH0 V +REP'S R EH1 P S +REP. R EH0 P R IY0 Z EH1 T AH0 T IH0 V +REPACK R IY0 P AE1 K +REPACKAGE R IY2 P AE1 K IH0 JH +REPACKAGED R IY1 P AE0 K IH0 JH D +REPACKAGES R IY2 P AE1 K IH0 JH IH0 Z +REPACKAGING R IY1 P AE0 K IH0 JH IH0 NG +REPACKED R IY0 P AE1 K T +REPAID R IY0 P EY1 D +REPAINT R IY0 P EY1 N T +REPAINTED R IY0 P EY1 N T IH0 D +REPAINTING R IY0 P EY1 N T IH0 NG +REPAIR R IH0 P EH1 R +REPAIRABLE R IH0 P EH1 R AH0 B AH0 L +REPAIRED R IH0 P EH1 R D +REPAIRED(2) R IY0 P EH1 R D +REPAIRING R IH0 P EH1 R IH0 NG +REPAIRING(2) R IY0 P EH1 R IH0 NG +REPAIRMAN R IH0 P EH1 R M AE2 N +REPAIRMAN(2) R IY0 P EH1 R M AE2 N +REPAIRMEN R IH0 P EH1 R M EH2 N +REPAIRS R IH0 P EH1 R Z +REPAIRS(2) R IY0 P EH1 R Z +REPAP R IY1 P AE0 P +REPARATION R EH2 P ER0 EY1 SH AH0 N +REPARATIONS R EH2 P ER0 EY1 SH AH0 N Z +REPARTEE R EH2 P ER0 T IY1 +REPASKY R IH0 P AA1 S K IY0 +REPASS R IY0 P AE1 S +REPATRIATE R IY0 P EY1 T R IY0 EY2 T +REPATRIATED R IY0 P EY1 T R IY0 EY2 T IH0 D +REPATRIATING R IY0 P EY1 T R IY0 EY2 T IH0 NG +REPATRIATION R IY0 P EY2 T R IY0 EY1 SH AH0 N +REPAY R IY0 P EY1 +REPAYABLE R IY0 P EY1 AH0 B AH0 L +REPAYING R IY0 P EY1 IH0 NG +REPAYMENT R IY0 P EY1 M AH0 N T +REPAYMENTS R IY0 P EY1 M AH0 N T S +REPAYS R IY2 P EY1 Z +REPEAL R IH0 P IY1 L +REPEAL(2) R IY0 P IY1 L +REPEALED R IH0 P IY1 L D +REPEALED(2) R IY0 P IY1 L D +REPEALING R IY0 P IY1 L IH0 NG +REPEALS R IY0 P IY1 L Z +REPEAT R IH0 P IY1 T +REPEAT(2) R IY0 P IY1 T +REPEATABLE R IH0 P IY1 T AH0 B AH0 L +REPEATED R IH0 P IY1 T IH0 D +REPEATED(2) R IY0 P IY1 T IH0 D +REPEATEDLY R IH0 P IY1 T IH0 D L IY0 +REPEATER R IH0 P IY1 T ER0 +REPEATERS R IH0 P IY1 T ER0 Z +REPEATING R IH0 P IY1 T IH0 NG +REPEATING(2) R IY0 P IY1 T IH0 NG +REPEATS R IH0 P IY1 T S +REPEATS(2) R IY0 P IY1 T S +REPEL R IH0 P EH1 L +REPELLED R AH0 P EH1 L D +REPELLED(2) R IH0 P EH1 L D +REPELLENT R IH0 P EH1 L AH0 N T +REPELLENTS R IH0 P EH1 L AH0 N T S +REPELLING R AH0 P EH1 L IH0 NG +REPELS R IH0 P EH1 L Z +REPENT R IH0 P EH1 N T +REPENTANCE R IH0 P EH1 N T AH0 N S +REPENTANT R IH0 P EH1 N T AH0 N T +REPENTED R IH0 P EH1 N T IH0 D +REPENTING R IH0 P EH1 N T IH0 NG +REPENTS R IH0 P EH1 N T S +REPERCUSSION R IY2 P ER0 K AH1 SH AH0 N +REPERCUSSION(2) R IY2 P R AH0 K AH1 SH AH0 N +REPERCUSSIONS R IY2 P ER0 K AH1 SH AH0 N Z +REPERCUSSIONS(2) R IY2 P R AH0 K AH1 SH AH0 N Z +REPERFUSION R EH2 P ER0 F Y UW1 ZH AH0 N +REPERTOIRE R EH1 P ER0 T W AA2 R +REPERTORY R EH1 P ER0 T AO2 R IY0 +REPETITION R EH2 P AH0 T IH1 SH AH0 N +REPETITIONS R EH2 P AH0 T IH1 SH AH0 N Z +REPETITIOUS R EH2 P AH0 T IH1 SH AH0 S +REPETITIVE R IH0 P EH1 T IH0 T IH0 V +REPETTI R EH0 P EH1 T IY0 +REPETTO R EH0 P EH1 T OW0 +REPH R EH1 F +REPHRASE R IY0 F R EY1 Z +REPINSKI R IH0 P IH1 N S K IY0 +REPKA R EH1 P K AH0 +REPKO R EH1 P K OW0 +REPLACE R IY2 P L EY1 S +REPLACE(2) ER0 P L EY1 S +REPLACEABLE R IY2 P L EY1 S AH0 B AH0 L +REPLACED R IY2 P L EY1 S T +REPLACEMENT R IH0 P L EY1 S M AH0 N T +REPLACEMENTS R IY0 P L EY1 S M AH0 N T S +REPLACES R IH0 P L EY1 S IH0 Z +REPLACING R IH0 P L EY1 S IH0 NG +REPLANT R IY0 P L AE1 N T +REPLANTED R IY0 P L AE1 N T IH0 D +REPLANTED(2) R IY0 P L AE1 N IH0 D +REPLANTING R IY0 P L AE1 N T IH0 NG +REPLAY R IY0 P L EY1 +REPLAYED R IY0 P L EY1 D +REPLAYING R IY0 P L EY1 IH0 NG +REPLAYS R IY0 P L EY1 Z +REPLENISH R IY0 P L EH1 N IH0 SH +REPLENISHED R IY0 P L EH1 N IH0 SH T +REPLENISHING R IY0 P L EH1 N IH0 SH IH0 NG +REPLENISHMENT R IH0 P L EH1 N IH0 SH M AH0 N T +REPLETE R IY0 P L IY1 T +REPLICA R EH1 P L IH0 K AH0 +REPLICAS R EH1 P L AH0 K AH0 Z +REPLICASE R EH1 P L IH0 K EY2 Z +REPLICATE R EH1 P L AH0 K EY2 T +REPLICATED R EH1 P L IH0 K EY2 T IH0 D +REPLICATES R EH1 P L IH0 K EY2 T S +REPLICATING R EH1 P L IH0 K EY2 T IH0 NG +REPLICATION R EH2 P L AH0 K EY1 SH AH0 N +REPLICATOR R EH1 P L IH0 K EY2 T ER0 +REPLICATORS R EH1 P L IH0 K EY2 T ER0 S +REPLIED R IH0 P L AY1 D +REPLIED(2) R IY0 P L AY1 D +REPLIES R IH0 P L AY1 Z +REPLIES(2) R IY0 P L AY1 Z +REPLIGEN R IH2 P L AY1 JH IH0 N +REPLIGEN'S R IH2 P L AY1 JH IH0 N Z +REPLOGLE R EH1 P L OW0 G AH0 L +REPLY R IH0 P L AY1 +REPLY(2) R IY0 P L AY1 +REPLYING R IH0 P L AY1 IH0 NG +REPLYING(2) R IY0 P L AY1 IH0 NG +REPO R IY1 P OW0 +REPONSE R IH0 P AA1 N S +REPORT R IY0 P AO1 R T +REPORT(2) R IH0 P AO1 R T +REPORT'S R IY0 P AO1 R T S +REPORT'S(2) R IH0 P AO1 R T S +REPORTABLE R IH0 P AO1 R T AH0 B AH0 L +REPORTAGE R IH0 P AO1 R T IH0 JH +REPORTED R IY2 P AO1 R T IH0 D +REPORTED(2) R IH0 P AO1 R T IH0 D +REPORTEDLY R IH0 P AO1 R T AH0 D L IY0 +REPORTEDLY(2) R IY0 P AO1 R T AH0 D L IY0 +REPORTER R IH0 P AO1 R T ER0 +REPORTER'S R IH0 P AO1 R T ER0 Z +REPORTERS R IH0 P AO1 R T ER0 Z +REPORTERS' R IH0 P AO1 R T ER0 Z +REPORTING R IY0 P AO1 R T IH0 NG +REPORTING(2) R IH0 P AO1 R T IH0 NG +REPORTORIAL R EH2 P ER0 T AO1 R IY0 AH0 L +REPORTS R IH0 P AO1 R T S +REPORTS(2) R IY0 P AO1 R T S +REPORTS' R IH0 P AO1 R T S +REPORTS'(2) R IY0 P AO1 R T S +REPOS R IY1 P OW2 Z +REPOSA R EH0 P OW1 S AH0 +REPOSE R IY0 P OW1 Z +REPOSITION R IY2 P AH0 Z IH1 SH AH0 N +REPOSITIONED R IY2 P AH0 Z IH1 SH AH0 N D +REPOSITIONING R IY2 P AH0 Z IH1 SH AH0 N IH0 NG +REPOSITORIES R IY0 P AA1 Z AH0 T AO2 R IY0 Z +REPOSITORY R IY0 P AA1 Z AH0 T AO2 R IY0 +REPOSSESS R IY2 P AH0 Z EH1 S +REPOSSESSED R IY2 P AH0 Z EH1 S T +REPOSSESSION R IY2 P AH0 Z EH1 SH AH0 N +REPOSSESSIONS R IY2 P AH0 Z EH1 SH AH0 N Z +REPOST R IY0 P OW1 S T +REPOSTED R IY0 P OW1 S T IH0 D +REPP R EH1 P +REPPERT R EH1 P ER0 T +REPPOND R EH1 P AH0 N D +REPPUCCI R EH0 P UW1 CH IY0 +REPR R EH1 P ER0 +REPREHENSIBLE R EH2 P R IH0 HH EH1 N S AH0 B AH0 L +REPRESENT R EH2 P R IH0 Z EH1 N T +REPRESENTATION R EH2 P R AH0 Z EH0 N T EY1 SH AH0 N +REPRESENTATIONAL R EH2 P R AH0 Z AH0 N T EY1 SH AH0 N AH0 L +REPRESENTATIONS R EH2 P R AH0 Z AH0 N T EY1 SH AH0 N Z +REPRESENTATIVE R EH2 P R AH0 Z EH1 N T AH0 T IH0 V +REPRESENTATIVE(2) R EH2 P R IH0 Z EH1 N T AH0 T IH0 V +REPRESENTATIVE(3) R EH2 P R AH0 Z EH1 N AH0 T IH0 V +REPRESENTATIVE(4) R EH2 P R IH0 Z EH1 N AH0 T IH0 V +REPRESENTATIVE'S R EH2 P R IH0 Z EH1 N T AH0 T IH0 V Z +REPRESENTATIVE'S(2) R EH2 P R IH0 Z EH1 N AH0 T IH0 V Z +REPRESENTATIVES R EH2 P R AH0 Z EH1 N T AH0 T IH0 V Z +REPRESENTATIVES(2) R EH2 P R IH0 Z EH1 N T AH0 T IH0 V Z +REPRESENTATIVES(3) R EH2 P R AH0 Z EH1 N AH0 T IH0 V Z +REPRESENTATIVES(4) R EH2 P R IH0 Z EH1 N AH0 T IH0 V Z +REPRESENTATIVES' R EH2 P R AH0 S EH1 N T AH0 T IH0 V Z +REPRESENTATIVES'(2) R EH2 P R AH0 S EH1 N AH0 T IH0 V Z +REPRESENTED R EH2 P R IH0 Z EH1 N T IH0 D +REPRESENTING R EH2 P R IH0 Z EH1 N T IH0 NG +REPRESENTS R EH2 P R IH0 Z EH1 N T S +REPRESS R IY0 P R EH1 S +REPRESSED R IY0 P R EH1 S T +REPRESSING R IY0 P R EH1 S IH0 NG +REPRESSION R IY0 P R EH1 SH AH0 N +REPRESSIONS R IY0 P R EH1 SH AH0 N Z +REPRESSIVE R IY0 P R EH1 S IH0 V +REPRICE R IY0 P R AY1 S +REPRICED R IY0 P R AY1 S T +REPRICING R IY0 P R AY1 S IH0 NG +REPRIEVE R IY0 P R IY1 V +REPRIMAND R EH1 P R AH0 M AE2 N D +REPRIMANDED R EH1 P R AH0 M AE2 N D IH0 D +REPRIMANDS R EH1 P R AH0 M AE2 N D Z +REPRINT R IY0 P R IH1 N T +REPRINTED R IY0 P R IH1 N T IH0 D +REPRINTING R IY0 P R IH1 N T IH0 NG +REPRINTS R IY0 P R IH1 N T S +REPRISAL R IY0 P R AY1 Z AH0 L +REPRISALS R IH0 P R AY1 Z AH0 L Z +REPRISALS(2) R IY0 P R AY1 Z AH0 L Z +REPRISE R IH0 P R AY1 Z +REPRISE(2) R IH0 P R IY1 Z +REPROACH R IY0 P R OW1 CH +REPROBATE R EH1 P R AO0 B EY0 T +REPROCESS R IY0 P R AO1 S EH0 S +REPROCESSED R IY0 P R AO1 S EH0 S T +REPROCESSING R IY0 P R AO1 S EH0 S IH0 NG +REPRODUCE R IY2 P R AH0 D UW1 S +REPRODUCED R IY2 P R AH0 D UW1 S T +REPRODUCES R IY2 P R AH0 D UW1 S IH0 Z +REPRODUCING R IY2 P R AH0 D UW1 S IH0 NG +REPRODUCTION R IY2 P R AH0 D AH1 K SH AH0 N +REPRODUCTIONS R IY2 P R AH0 D AH1 K SH AH0 N Z +REPRODUCTIVE R IY2 P R AH0 D AH1 K T IH0 V +REPROGENETICS R IY1 P R AO2 JH AH0 N EH2 T IH0 K S +REPROGRAM R IY0 P R OW1 G R AE2 M +REPROGRAMMED R IY0 P R OW1 G R AE2 M D +REPROGRAMMING R IY0 P R OW1 G R AE2 M IH0 NG +REPROGRAMS R IY0 P R OW1 G R AE2 M Z +REPROGRAPH R EH1 P R OW0 G R AE2 F +REPROGRAPHIC R EH2 P R OW0 G R AE1 F IH0 K +REPROGRAPHICS R EH2 P R OW0 G R AE1 F IH0 K S +REPS R EH1 P S +REPSHER R EH1 P SH ER0 +REPSOL R EH1 P S AA0 L +REPTILE R EH1 P T AY0 L +REPTILES R EH1 P T AY0 L Z +REPTILIAN R EH0 P T IH1 L Y AH0 N +REPTILIANS R EH0 P T IH1 L Y AH0 N Z +REPUBLIC R IY0 P AH1 B L AH0 K +REPUBLIC(2) R IY0 P AH1 B L IH0 K +REPUBLIC'S R IY0 P AH1 B L IH0 K S +REPUBLICA R IH0 P AH1 B L IH0 K AH0 +REPUBLICAN R IH0 P AH1 B L IH0 K AH0 N +REPUBLICAN(2) R IY0 P AH1 B L AH0 K AH0 N +REPUBLICAN(3) R IY0 P AH1 B L IH0 K AH0 N +REPUBLICAN'S R IY0 P AH1 B L IH0 K AH0 N Z +REPUBLICANISM R IH0 P AH1 B L IH0 K AH0 N IH2 Z AH0 M +REPUBLICANS R IH0 P AH1 B L IH0 K AH0 N Z +REPUBLICANS(2) R IY0 P AH1 B L AH0 K AH0 N Z +REPUBLICANS(3) R IY0 P AH1 B L IH0 K AH0 N Z +REPUBLICANS' R IH0 P AH1 B L IH0 K AH0 N Z +REPUBLICANS'(2) R IY0 P AH1 B L IH0 K AH0 N Z +REPUBLICBANK R IY0 P AH1 B L IH0 K B AE2 NG K +REPUBLICBANK'S R IY0 P AH1 B L IH0 K B AE2 NG K S +REPUBLICS R IY0 P AH1 B L IH0 K S +REPUBLIKA R IH0 P AH1 B L IH0 K AH0 +REPUDIATE R IY0 P Y UW1 D IY0 EY2 T +REPUDIATED R IY0 P Y UW1 D IY0 EY2 T IH0 D +REPUDIATES R IY0 P Y UW1 D IY0 EY2 T S +REPUDIATING R IY0 P Y UW1 D IY0 EY2 T IH0 NG +REPUDIATION R IH0 P Y UW2 D IY0 EY1 SH AH0 N +REPUGNANT R IH0 P AH1 G N AH0 N T +REPUGNANT(2) R IY0 P AH1 G N AH0 N T +REPULSE R IY0 P AH1 L S +REPULSED R IY0 P AH1 L S T +REPULSING R IY0 P AH1 L S IH0 NG +REPULSIVE R IY0 P AH1 L S IH0 V +REPURCHASE R IY0 P ER1 CH AH0 S +REPURCHASED R IY0 P ER1 CH AH0 S T +REPURCHASES R IY0 P ER1 CH AH0 S IH0 Z +REPURCHASING R IY0 P ER1 CH AH0 S IH0 NG +REPUTABLE R EH1 P Y AH0 T AH0 B AH0 L +REPUTATION R EH2 P Y AH0 T EY1 SH AH0 N +REPUTATIONS R EH2 P Y AH0 T EY1 SH AH0 N Z +REPUTE R IY0 P Y UW1 T +REPUTED R IH0 P Y UW1 T IH0 D +REPUTED(2) R IY0 P Y UW1 T IH0 D +REPUTEDLY R IH0 P Y UW1 T IH0 D L IY0 +REQUA R EY1 K W AH0 +REQUALIFY R IY2 K W AA1 L AH0 F AY2 +REQUEST R IH0 K W EH1 S T +REQUEST(2) R IY0 K W EH1 S T +REQUESTED R IH0 K W EH1 S T IH0 D +REQUESTED(2) R IY0 K W EH1 S T IH0 D +REQUESTER R IH0 K W EH1 S T ER0 +REQUESTING R IH0 K W EH1 S T IH0 NG +REQUESTING(2) R IY0 K W EH1 S T IH0 NG +REQUESTS R IH0 K W EH1 S T S +REQUESTS(2) R IY0 K W EH1 S T S +REQUESTS(3) R IH0 K W EH1 S +REQUESTS(4) R IY0 K W EH1 S +REQUIEM R EH1 K W IY0 AH0 M +REQUIRE R IY2 K W AY1 ER0 +REQUIRE(2) R IY0 K W AY1 R +REQUIRE(3) R IH0 K W AY1 ER0 +REQUIRED R IY0 K W AY1 ER0 D +REQUIRED(2) R IY0 K W AY1 R D +REQUIREMENT R IH0 K W AY1 R M AH0 N T +REQUIREMENTS R IH0 K W AY1 R M AH0 N T S +REQUIRES R IY0 K W AY1 ER0 Z +REQUIRES(2) R IY0 K W AY1 R Z +REQUIRING R IY0 K W AY1 ER0 IH0 NG +REQUIRING(2) R IY0 K W AY1 R IH0 NG +REQUISITE R EH1 K W AH0 Z AH0 T +REQUISITES R EH1 K W AH0 Z AH0 T S +REQUISITION R EH2 K W AH0 Z IH1 SH AH0 N +REQUISITIONED R EH2 K W AH0 Z IH1 SH AH0 N D +REREAD R IY1 R IY1 D +REREADING R IY1 R IY1 D IH0 NG +REREGULATE R IY0 R EH1 G Y AH0 L EY2 T +REREGULATION R IY0 R EH0 G Y AH0 L EY1 SH AH0 N +REROUTE R IY0 R UW1 T +REROUTE(2) R IY0 R AW1 T +REROUTED R IY0 R UW1 T IH0 D +REROUTED(2) R IY0 R AW1 T IH0 D +REROUTING R IY0 R UW1 T IH0 NG +REROUTING(2) R IY0 R AW1 T IH0 NG +RERUN R IY1 R AH1 N +RERUNNING R IY1 R AH1 N IH0 NG +RERUNS R IY1 R AH1 N Z +RES R EY1 Z +RESALE R IY1 S EY2 L +RESALES R IY1 S EY2 L Z +RESCH R EH1 SH +RESCHEDULE R IY0 S K EH1 JH UW0 L +RESCHEDULED R IY0 S K EH1 JH UW0 L D +RESCHEDULING R IY0 S K EH1 JH UW0 L IH0 NG +RESCHEDULINGS R IY0 SH K EH1 JH UW0 L IH0 NG Z +RESCHKE R EH1 SH K +RESCIGNO R EH0 S CH IY1 G N OW0 +RESCIND R IH0 S IH1 N D +RESCIND(2) R IY0 S IH1 N D +RESCINDED R IH0 S IH1 N D IH0 D +RESCINDED(2) R IY0 S IH1 N D IH0 D +RESCINDING R IH0 S IH1 N D IH0 NG +RESCINDS R IH0 S IH1 N D Z +RESCINDS(2) R IY0 S IH1 N D Z +RESCISSION R IH0 S IH1 ZH AH0 N +RESCISSIONS R IH0 S IH1 ZH AH0 N Z +RESCUE R EH1 S K Y UW0 +RESCUED R EH1 S K Y UW0 D +RESCUER R EH1 S K Y UW2 ER0 +RESCUERS R EH1 S K Y UW2 ER0 Z +RESCUES R EH1 S K Y UW2 Z +RESCUING R EH1 S K Y UW0 IH0 NG +RESDEL R EH1 Z D EH2 L +RESEACHERS R IY0 S ER1 CH ER0 Z +RESEAL R IY0 S IY1 L +RESEALABLE R IY0 S IY1 L AH0 B AH0 L +RESEALED R IY0 S IY1 L D +RESEALS R IY0 S IY1 L Z +RESEARCH R IY0 S ER1 CH +RESEARCH(2) R IY1 S ER0 CH +RESEARCH'S R IY0 S ER1 CH IH0 Z +RESEARCHED R IY0 S ER1 CH T +RESEARCHER R IY1 S ER0 CH ER0 +RESEARCHERS R IY1 S ER0 CH ER0 Z +RESEARCHERS' R IY1 S ER0 CH ER0 Z +RESEARCHES R IY0 S ER1 CH IH0 Z +RESEARCHING R IY0 S ER1 CH IH0 NG +RESECTION R IY2 S EH1 K SH AH0 N +RESEDA R EH0 S EY1 D AH0 +RESEED R IY0 S IY1 D +RESELL R IY0 S EH1 L +RESELLER R IY0 S EH1 L ER0 +RESELLERS R IY0 S EH1 L ER0 Z +RESELLING R IY0 S EH1 L IH0 NG +RESELLS R IY0 S EH1 L Z +RESEMBLANCE R IH0 Z EH1 M B L AH0 N S +RESEMBLANCE(2) R IY0 Z EH1 M B L AH0 N S +RESEMBLANCES R IY0 Z EH1 M B L AH0 N S AH0 Z +RESEMBLE R IH0 Z EH1 M B AH0 L +RESEMBLE(2) R IY0 Z EH1 M B AH0 L +RESEMBLED R IH0 Z EH1 M B AH0 L D +RESEMBLED(2) R IY0 Z EH1 M B AH0 L D +RESEMBLES R IH0 Z EH1 M B AH0 L Z +RESEMBLES(2) R IY0 Z EH1 M B AH0 L Z +RESEMBLING R IH0 Z EH1 M B AH0 L IH0 NG +RESEMBLING(2) R IY0 Z EH1 M B AH0 L IH0 NG +RESEMBLING(3) R IY0 Z EH1 M B L IH0 NG +RESEND R IH0 Z EH1 N D +RESENDE R IH0 S EH1 N D EY0 +RESENDES R EH1 S IH0 N D Z +RESENDEZ R EY0 S EY1 N D EH0 Z +RESENDIZ R IH0 S EH1 N D IH0 Z +RESENT R IH0 Z EH1 N T +RESENT(2) R IY0 Z EH1 N T +RESENTED R IY0 Z EH1 N T IH0 D +RESENTED(2) R IY0 Z EH1 N AH0 D +RESENTFUL R IH0 Z EH1 N T F AH0 L +RESENTING R IH0 Z EH1 N T IH0 NG +RESENTING(2) R IY0 Z EH1 N T IH0 NG +RESENTING(3) R IH0 Z EH1 N IH0 NG +RESENTING(4) R IY0 Z EH1 N IH0 NG +RESENTMENT R IH0 Z EH1 N T M AH0 N T +RESENTMENT(2) R IH0 Z EH1 N M AH0 N T +RESENTMENTS R IH0 Z EH1 N T M AH0 N T S +RESENTMENTS(2) R IH0 Z EH1 N M AH0 N T S +RESENTS R IH0 Z EH1 N T S +RESER R IY1 Z ER0 +RESERVATION R EH2 Z ER0 V EY1 SH AH0 N +RESERVATIONIST R EH2 Z ER0 V EY1 SH AH0 N IH0 S T +RESERVATIONISTS R EH2 Z ER0 V EY1 SH AH0 N IH0 S T S +RESERVATIONS R EH2 Z ER0 V EY1 SH AH0 N Z +RESERVE R IH0 Z ER1 V +RESERVE(2) R IY0 Z ER1 V +RESERVE'S R IH0 Z ER1 V Z +RESERVE'S(2) R IY0 Z ER1 V Z +RESERVED R IH0 Z ER1 V D +RESERVED(2) R IY0 Z ER1 V D +RESERVEESE R EH2 Z ER0 V IY1 S +RESERVES R IH0 Z ER1 V Z +RESERVES(2) R IY0 Z ER1 V Z +RESERVING R IH0 Z ER1 V IH0 NG +RESERVING(2) R IY0 Z ER1 V IH0 NG +RESERVIST R IH0 Z ER1 V IH0 S T +RESERVISTS R IH0 Z ER1 V IH0 S T S +RESERVOIR R EH1 Z AH0 V W AA2 R +RESERVOIR(2) R EH1 Z ER0 V W AA2 R +RESERVOIRS R EH1 Z ER0 V W AA2 R Z +RESET R IY0 S EH1 T +RESET(2) R IY1 S EH0 T +RESETAR R EH1 S IH0 T ER0 +RESETING R IY0 S EH1 T IH0 NG +RESETING(2) R IY1 S EH0 T IH0 NG +RESETS R IY0 S EH1 T S +RESETS(2) R IY1 S EH0 T S +RESETTABLE R IY0 S EH1 T AH0 B AH0 L +RESETTLE R IY0 S EH1 T AH0 L +RESETTLED R IY0 S EH1 T AH0 L D +RESETTLEMENT R IY0 S EH1 T AH0 L M AH0 N T +RESH R EH1 SH +RESHAPE R IY0 SH EY1 P +RESHAPED R IY0 SH EY1 P T +RESHAPING R IY0 SH EY1 P IH0 NG +RESHOT R IY0 SH AO1 T +RESHUFFLE R IY0 SH AH1 F AH0 L +RESHUFFLED R IY0 SH AH1 F AH0 L D +RESHUFFLING R IY0 SH AH1 F AH0 L IH0 NG +RESHUFFLING(2) R IY0 SH AH1 F L IH0 NG +RESIDE R IH0 Z AY1 D +RESIDE(2) R IY0 Z AY1 D +RESIDED R IH0 Z AY1 D IH0 D +RESIDENCE R EH1 Z IH0 D AH0 N S +RESIDENCES R EH1 Z IH0 D AH0 N S IH0 Z +RESIDENCIES R EH1 Z IH0 D EH2 N S IY0 Z +RESIDENCY R EH1 Z IH0 D AH0 N S IY0 +RESIDENT R EH1 Z IH0 D AH0 N T +RESIDENT'S R EH1 Z IH0 D AH0 N T S +RESIDENTIAL R EH2 Z IH0 D EH1 N SH AH0 L +RESIDENTS R EH1 Z IH0 D AH0 N T S +RESIDENTS' R EH1 Z IH0 D AH0 N T S +RESIDES R IH0 Z AY1 D Z +RESIDES(2) R IY0 Z AY1 D Z +RESIDING R IH0 Z AY1 D IH0 NG +RESIDING(2) R IY0 Z AY1 D IH0 NG +RESIDUAL R IH0 Z IH1 JH UW0 AH0 L +RESIDUALS R IH0 Z IH1 JH UW0 AH0 L Z +RESIDUE R EH1 Z AH0 D UW2 +RESIDUES R EH1 Z AH0 D UW2 Z +RESIGN R IH0 Z AY1 N +RESIGN(2) R IY0 Z AY1 N +RESIGN(3) R IY0 S AY1 N +RESIGNATION R EH2 Z AH0 G N EY1 SH AH0 N +RESIGNATION(2) R EH2 Z IH0 G N EY1 SH AH0 N +RESIGNATIONS R EH2 Z IH0 G N EY1 SH AH0 N Z +RESIGNED R IH0 Z AY1 N D +RESIGNED(2) R IY0 Z AY1 N D +RESIGNED(3) R IY0 S AY1 N D +RESIGNEE R EH2 Z IH0 G N IY1 +RESIGNEES R EH2 Z IH0 G N IY1 Z +RESIGNING R IH0 Z AY1 N IH0 NG +RESIGNING(2) R IY0 Z AY1 N IH0 NG +RESIGNING(3) R IY0 S AY1 N IH0 NG +RESIGNS R IH0 Z AY1 N Z +RESIGNS(2) R IY0 Z AY1 N Z +RESIGNS(3) R IY0 S AY1 N Z +RESILIENCE R IH0 Z IH1 L IY0 AH0 N S +RESILIENCE(2) R IH0 Z IH1 L Y AH0 N S +RESILIENCY R IH0 Z IH1 L Y AH0 N S IY0 +RESILIENT R IH0 Z IH1 L Y AH0 N T +RESIN R EH1 Z AH0 N +RESIN(2) R EH1 Z IH0 N +RESINS R EH1 Z AH0 N Z +RESINS(2) R EH1 Z IH0 N Z +RESIST R IH0 Z IH1 S T +RESIST(2) R IY0 Z IH1 S T +RESISTANCE R IH0 Z IH1 S T AH0 N S +RESISTANCE(2) R IY0 Z IH1 S T AH0 N S +RESISTANT R IH0 Z IH1 S T AH0 N T +RESISTANT(2) R IY0 Z IH1 S T AH0 N T +RESISTED R IH0 Z IH1 S T IH0 D +RESISTED(2) R IY0 Z IH1 S T IH0 D +RESISTENCE R IH0 Z IH1 S T AH0 N S +RESISTING R IH0 Z IH1 S T IH0 NG +RESISTING(2) R IY0 Z IH1 S T IH0 NG +RESISTIVENESS R IH2 Z IH1 S T IH2 V N AH0 S +RESISTOR R IH0 Z IH1 S T ER0 +RESISTORS R IH0 Z IH1 S T ER0 Z +RESISTS R IH0 Z IH1 S T S +RESISTS(2) R IY0 Z IH1 S T S +RESISTS(3) R IH0 Z IH1 S +RESISTS(4) R IY0 Z IH1 S +RESKE R EH1 S K +RESLER R EH1 Z L ER0 +RESNAIS R EH0 S N EY1 +RESNER R EH1 S N ER0 +RESNICK R EH1 Z N IH0 K +RESNICK'S R EH1 Z N IH0 K S +RESNIK R EH1 S N IH0 K +RESO R IH1 Z OW0 +RESO(2) R IY1 Z OW0 +RESO(3) R IH1 S OW0 +RESO(4) R IY1 S OW0 +RESO'S R IY1 S OW0 Z +RESO'S(2) R IY1 Z OW0 Z +RESO'S(3) R IH1 S OW0 Z +RESO'S(4) R IH1 Z OW0 Z +RESOLD R IY0 S OW1 L D +RESOLUTE R EH1 Z AH0 L UW2 T +RESOLUTELY R EH1 S AH0 L UW2 T L IY0 +RESOLUTELY(2) R EH1 Z AH0 L UW2 T L IY0 +RESOLUTION R EH2 Z AH0 L UW1 SH AH0 N +RESOLUTION'S R EH2 Z AH0 L UW1 SH AH0 N Z +RESOLUTIONS R EH2 Z AH0 L UW1 SH AH0 N Z +RESOLVE R IY0 Z AA1 L V +RESOLVED R IY0 Z AA1 L V D +RESOLVES R IY0 Z AA1 L V Z +RESOLVING R IY0 Z AA1 L V IH0 NG +RESONANCE R EH1 Z AH0 N AH0 N S +RESONANT R EH1 Z AH0 N AH0 N T +RESONATE R EH1 Z AH0 N EY2 T +RESONATED R EH1 Z AH0 N EY2 T IH0 D +RESONATES R EH1 Z AH0 N EY2 T S +RESONATING R EH1 Z AH0 N EY2 T IH0 NG +RESORT R IH0 Z AO1 R T +RESORT(2) R IY0 Z AO1 R T +RESORT(3) R IY0 S AO1 R T +RESORT'S R IH0 Z AO1 R T S +RESORTED R IH0 Z AO1 R T IH0 D +RESORTED(2) R IY0 Z AO1 R T IH0 D +RESORTED(3) R IY0 S AO1 R T IH0 D +RESORTING R IH0 Z AO1 R T IH0 NG +RESORTING(2) R IY0 Z AO1 R T IH0 NG +RESORTING(3) R IY0 S AO1 R T IH0 NG +RESORTS R IH0 Z AO1 R T S +RESORTS(2) R IY0 Z AO1 R T S +RESORTS(3) R IY0 S AO1 R T S +RESORTS' R IH0 Z AO1 R T S +RESOUND R IY2 S AW1 N D +RESOUND(2) R IY2 Z AW1 N D +RESOUNDING R IY0 S AW1 N D IH0 NG +RESOUNDINGLY R IH0 Z AW1 N D IH0 NG L IY0 +RESOURCE R IY1 S AO0 R S +RESOURCEFUL R IY0 S AO1 R S F AH0 L +RESOURCEFULNESS R IY0 S AO1 R S F AH0 L N AH0 S +RESOURCES R IY1 S AO0 R S IH0 Z +RESOURCES' R IY1 S AO0 R S IH0 Z +RESPAWN R IY2 S P AA1 N +RESPEAK R IY2 S P IY1 K +RESPECT R IH0 S P EH1 K T +RESPECT(2) R IY0 S P EH1 K T +RESPECTABILITY R IY0 S P EH2 K T AH0 B IH1 L IH0 T IY0 +RESPECTABLE R IH0 S P EH1 K T AH0 B AH0 L +RESPECTABLE(2) R IY0 S P EH1 K T AH0 B AH0 L +RESPECTABLY R IY0 S P EH1 K T AH0 B L IY0 +RESPECTED R IH0 S P EH1 K T IH0 D +RESPECTED(2) R IY0 S P EH1 K T IH0 D +RESPECTFUL R IH0 S P EH1 K T F AH0 L +RESPECTFULLY R IH0 S P EH1 K T F AH0 L IY0 +RESPECTING R IY0 S P EH1 K T IH0 NG +RESPECTIVE R IH0 S P EH1 K T IH0 V +RESPECTIVE(2) R IY0 S P EH1 K T IH0 V +RESPECTIVELY R IH0 S P EH1 K T IH0 V L IY0 +RESPECTS R IH0 S P EH1 K T S +RESPECTS(2) R IY0 S P EH1 K T S +RESPECTS(3) R AH0 S P EH1 K S +RESPECTS(4) R IY0 S P EH1 K S +RESPESS R EY1 S P IH0 S +RESPIRATION R EH2 S P ER0 EY1 SH AH0 N +RESPIRATOR R EH1 S P ER0 EY2 T ER0 +RESPIRATORS R EH1 S P ER0 EY2 T ER0 Z +RESPIRATORY R EH1 S P ER0 AH0 T AO2 R IY0 +RESPIRONIC R EH2 S P ER0 AA1 N IH0 K +RESPIRONICS R EH2 S ER0 AA1 N IH0 K S +RESPITE R EH1 S P IH0 T +RESPLENDENT R IY0 S P L EH1 N D AH0 N T +RESPOND R IH0 S P AA1 N D +RESPOND(2) R IY0 S P AA1 N D +RESPONDED R IH0 S P AA1 N D IH0 D +RESPONDED(2) R IY0 S P AA1 N D AH0 D +RESPONDED(3) R IY0 S P AA1 N D IH0 D +RESPONDENT R IH0 S P AA1 N D AH0 N T +RESPONDENTS R IH0 S P AA1 N D AH0 N T S +RESPONDENTS' R IH0 S P AA1 N D AH0 N T S +RESPONDER R IH0 S P AA1 N D ER0 +RESPONDERS R IH0 S P AA1 N D ER0 Z +RESPONDING R IH0 S P AA1 N D IH0 NG +RESPONDING(2) R IY0 S P AA1 N D IH0 NG +RESPONDS R IH0 S P AA1 N D Z +RESPONDS(2) R IY0 S P AA1 N D Z +RESPONSE R IH0 S P AA1 N S +RESPONSE(2) R IY0 S P AA1 N S +RESPONSES R IH0 S P AA1 N S IH0 Z +RESPONSES(2) R IY0 S P AA1 N S AH0 Z +RESPONSES(3) R IY0 S P AA1 N S IH0 Z +RESPONSIBILITIES R IY0 S P AA2 N S AH0 B IH1 L AH0 T IY0 Z +RESPONSIBILITY R IY0 S P AA2 N S AH0 B IH1 L AH0 T IY0 +RESPONSIBLE R IY0 S P AA1 N S AH0 B AH0 L +RESPONSIBLY R IH0 S P AA1 N S AH0 B L IY0 +RESPONSIVE R IH0 S P AA1 N S IH0 V +RESPONSIVENESS R IH0 S P AA1 N S IH0 V N AH0 S +RESPRESS R EH1 S P R IH0 S +RESS R EH1 S +RESSA R EH1 S AH0 +RESSA'S R EH1 S AH0 Z +RESSEGUIE R EH1 S IH0 G W IY0 +RESSEL R EH1 S AH0 L +RESSLER R EH1 S L ER0 +REST R EH1 S T +RESTAGE R IY0 S T EY1 JH +RESTAGED R IY0 S T EY1 JH D +RESTAINO R EH0 S T AA0 IY1 N OW0 +RESTART R IY0 S T AA1 R T +RESTARTED R IY0 S T AA1 R T IH0 D +RESTARTING R IY0 S T AA1 R T IH0 NG +RESTATE R IY0 S T EY1 T +RESTATED R IY0 S T EY1 T IH0 D +RESTATEMENT R IY0 S T EY1 T M AH0 N T +RESTATEMENTS R IY0 S T EY1 T M AH0 N T S +RESTATES R IY0 S T EY1 T S +RESTATING R IY0 S T EY1 T IH0 NG +RESTAURANT R EH1 S T ER0 AA2 N T +RESTAURANT(2) R EH1 S T R AA2 N T +RESTAURANT'S R EH1 S T ER0 AA2 N T S +RESTAURANT'S(2) R EH1 S T R AA2 N T S +RESTAURANTEUR R EH0 S T R AA0 N T ER1 +RESTAURANTEURS R EH0 S T R AA0 N T ER1 Z +RESTAURANTS R EH1 S T ER0 AA2 N T S +RESTAURANTS(2) R EH1 S T R AA2 N T S +RESTAURANTS' R EH1 S T ER0 AA2 N T S +RESTAURANTS'(2) R EH1 S T R AA2 N T S +RESTAURATEUR R EH2 S T ER0 AH0 T ER1 +RESTAURATEUR(2) R EH2 S T R AH0 T ER1 +RESTAURATEURS R EH2 S T ER0 AH0 T ER1 Z +RESTAURATEURS(2) R EH2 S T R AH0 T ER1 Z +RESTED R EH1 S T AH0 D +RESTED(2) R EH1 S T IH0 D +RESTER R EH1 S T ER0 +RESTFUL R EH1 S T F AH0 L +RESTING R EH1 S T IH0 NG +RESTITUTE R EH1 S T IH0 T UW2 T +RESTITUTION R EH2 S T IH0 T UW1 SH AH0 N +RESTIVE R EH1 S T IH0 V +RESTIVENESS R EH1 S T IH0 V N AH0 S +RESTIVO R EH0 S T IY1 V OW0 +RESTLESS R EH1 S T L AH0 S +RESTLESSLY R EH1 S T L AH0 S L IY0 +RESTLESSNESS R EH1 S T L AH0 S N AH0 S +RESTO R EH1 S T OW0 +RESTOCK R IY0 S T AA1 K +RESTOCKED R IY0 S T AA1 K T +RESTOCKING R IY0 S T AA1 K IH0 NG +RESTON R EH1 S T AH0 N +RESTORATION R EH2 S T ER0 EY1 SH AH0 N +RESTORATIONS R EH2 S T ER0 EY1 SH AH0 N Z +RESTORATIVE R AH0 S T AO1 R AH0 T IH0 V +RESTORE R IH0 S T AO1 R +RESTORED R IH0 S T AO1 R D +RESTORER R IH0 S T AO1 R ER0 +RESTORES R IH0 S T AO1 R Z +RESTORING R IH0 S T AO1 R IH0 NG +RESTRAIN R IY0 S T R EY1 N +RESTRAINED R IY0 S T R EY1 N D +RESTRAINING R IY0 S T R EY1 N IH0 NG +RESTRAINS R IY0 S T R EY1 N Z +RESTRAINT R IH0 S T R EY1 N T +RESTRAINT(2) R IY0 S T R EY1 N T +RESTRAINTS R IH0 S T R EY1 N T S +RESTRAINTS(2) R IY0 S T R EY1 N T S +RESTREPO R EH0 S T R EH1 P OW0 +RESTRICT R IY0 S T R IH1 K T +RESTRICTED R IY0 S T R IH1 K T AH0 D +RESTRICTED(2) R IY0 S T R IH1 K T IH0 D +RESTRICTING R IY0 S T R IH1 K T IH0 NG +RESTRICTION R IY0 S T R IH1 K SH AH0 N +RESTRICTIONS R IY0 S T R IH1 K SH AH0 N Z +RESTRICTIVE R IY0 S T R IH1 K T IH0 V +RESTRICTIVENESS R AH0 S T R IH1 K T IH0 V N AH0 S +RESTRICTS R IY0 S T R IH1 K T S +RESTROOM R EH1 S T R UW2 M +RESTROOMS R EH1 S T R UW2 M Z +RESTRUCTURE R IY0 S T R AH1 K CH ER0 +RESTRUCTURED R IY0 S T R AH1 K CH ER0 D +RESTRUCTURES R IY0 S T R AH1 K CH ER0 Z +RESTRUCTURING R IY0 S T R AH1 K CH ER0 IH0 NG +RESTRUCTURINGS R IY0 S T R AH1 K CH ER0 IH0 NG Z +RESTS R EH1 S T S +RESTYLE R IY0 S T AY1 L +RESTYLED R IY0 S T AY1 L D +RESUBMIT R IY2 S AH0 B M IH1 T +RESUBMITTED R IY2 S AH0 B M IH1 T IH0 D +RESUBMITTING R IY2 S AH0 B M IH1 T IH0 NG +RESULT R IH0 Z AH1 L T +RESULT(2) R IY0 Z AH1 L T +RESULTANT R IY0 Z AH1 L T AH0 N T +RESULTED R IH0 Z AH1 L T IH0 D +RESULTED(2) R IY0 Z AH1 L T AH0 D +RESULTED(3) R IY0 Z AH1 L T IH0 D +RESULTING R IH0 Z AH1 L T IH0 NG +RESULTING(2) R IY0 Z AH1 L T IH0 NG +RESULTS R IH0 Z AH1 L T S +RESULTS(2) R IY0 Z AH1 L T S +RESUME R IH0 Z UW1 M +RESUME(2) R IY0 Z UW1 M +RESUME(3) R EH1 Z AH0 M EY2 +RESUMED R IH0 Z UW1 M D +RESUMED(2) R IY0 Z UW1 M D +RESUMES R IH0 Z UW1 M Z +RESUMES(2) R IY0 Z UW1 M Z +RESUMES(3) R EH1 Z AH0 M EY2 Z +RESUMING R IH0 Z UW1 M IH0 NG +RESUMING(2) R IY0 Z UW1 M IH0 NG +RESUMPTION R IH0 Z AH1 M P SH AH0 N +RESUMPTION(2) R IY0 Z AH1 M P SH AH0 N +RESUMPTION(3) R IH0 Z AH1 M SH AH0 N +RESUMPTION(4) R IY0 Z AH1 M SH AH0 N +RESUPPLY R IY0 S AH0 P L AY1 +RESURFACE R IY0 S ER1 F AH0 S +RESURFACED R IY0 S ER1 F AH0 S T +RESURFACING R IY0 S ER1 F AH0 S IH0 NG +RESURGENCE R IY0 S ER1 JH AH0 N S +RESURGENCY R IH0 S ER1 JH AH0 N S IY0 +RESURGENCY(2) R IY0 S ER1 JH AH0 N S IY0 +RESURGENT R IH0 S ER1 JH AH0 N T +RESURGENT(2) R IY0 S ER1 JH AH0 N T +RESURGING R IY0 S ER1 JH IH0 NG +RESURRECT R EH2 Z ER0 EH1 K T +RESURRECTED R EH2 Z ER0 EH1 K T IH0 D +RESURRECTING R EH2 Z ER0 EH1 K T IH0 NG +RESURRECTION R EH2 Z ER0 EH1 K SH AH0 N +RESUSCITATE R IH0 S AH1 S IH0 T EY2 T +RESUSCITATE(2) R IY0 S AH1 S IH0 T EY2 T +RESUSCITATED R IH0 S AH1 S IH0 T EY2 T IH0 D +RESUSCITATING R IH0 S AH1 S IH0 T EY2 T IH0 NG +RESUSCITATION R IH0 S AH2 S IH0 T EY1 SH AH0 N +RESVERATROL R EH0 S V ER1 AH0 T R AO0 L +RET R EH1 T +RETA R EH1 T AH0 +RETABLOS R IY0 T AE1 B L OW0 S +RETAIL R IY1 T EY2 L +RETAILED R IY1 T EY2 L D +RETAILER R IY1 T EY2 L ER0 +RETAILER'S R IY1 T EY2 L ER0 Z +RETAILERS R IY1 T EY2 L ER0 Z +RETAILERS' R IY1 T EY2 L ER0 Z +RETAILING R IY1 T EY2 L IH0 NG +RETAILING'S R IY1 T EY2 L IH0 NG Z +RETAILS R IY1 T EY2 L Z +RETAIN R IH0 T EY1 N +RETAIN(2) R IY0 T EY1 N +RETAINED R IH0 T EY1 N D +RETAINED(2) R IY0 T EY1 N D +RETAINER R IH0 T EY1 N ER0 +RETAINER(2) R IY0 T EY1 N ER0 +RETAINERS R IH0 T EY1 N ER0 Z +RETAINING R IH0 T EY1 N IH0 NG +RETAINING(2) R IY0 T EY1 N IH0 NG +RETAINS R IH0 T EY1 N Z +RETAINS(2) R IY0 T EY1 N Z +RETAKE R IY1 T EY1 K +RETAKE(2) R IY0 T EY1 K +RETAKEN R IY0 T EY1 K AH0 N +RETAKING R IY0 T EY1 K IH0 NG +RETALIATE R IH0 T AE1 L IY0 EY2 T +RETALIATE(2) R IY0 T AE1 L IY0 EY2 T +RETALIATED R IH0 T AE1 L IY0 EY2 T IH0 D +RETALIATED(2) R IY0 T AE1 L IY0 EY2 T IH0 D +RETALIATING R IH0 T AE1 L IY0 EY2 T IH0 NG +RETALIATION R IY0 T AE2 L IY0 EY1 SH AH0 N +RETALIATORY R IY0 T AE1 L Y AH0 T AO2 R IY0 +RETANA R EH0 T AE1 N AH0 +RETARD R IH0 T AA1 R D +RETARD(2) R IY0 T AA1 R D +RETARDANT R IY0 T AA1 R D AH0 N T +RETARDATION R IY0 T AA0 R D EY1 SH AH0 N +RETARDED R IH0 T AA1 R D IH0 D +RETARDED(2) R IY0 T AA1 R D AH0 D +RETARDED(3) R IY0 T AA1 R D IH0 D +RETARDING R IH0 T AA1 R D IH0 NG +RETARDING(2) R IY0 T AA1 R D IH0 NG +RETARDS R IH0 T AA1 R D Z +RETARDS(2) R IY0 T AA1 R D Z +RETARGET R IY0 T AA1 R G AH0 T +RETARGETER R IY0 T AA1 R G AH0 T ER0 +RETARGETERS R IY0 T AA1 R G AH0 T ER0 Z +RETARGETING R IY0 T AA1 R G AH0 T IH0 NG +RETELL R IY0 T EH1 L +RETELLING R IY0 T EH1 L IH0 NG +RETEMEYER R EH1 T AH0 M AY2 R +RETENTION R IY0 T EH1 N SH AH0 N +RETEST R IY1 T EH1 S T +RETESTED R IY0 T EH1 S T IH0 D +RETESTING R IY0 T EH1 S T IH0 NG +RETESTS R IY1 T EH1 S T S +RETHERFORD R IH0 TH ER1 F ER0 D +RETHINK R IY0 TH IH1 NG K +RETHINKING R IY0 TH IH1 NG K IH0 NG +RETHOUGHT R IY0 TH AO1 T +RETI R EH1 T IY0 +RETICENCE R EH1 T IH0 S AH0 N S +RETICENT R EH1 T IH0 S AH0 N T +RETIN R EH1 T IH0 N +RETINA R EH1 T AH0 N AH0 +RETINAL R EH1 T AH0 N AH0 L +RETINOBLASTOMA R EH2 T IH0 N OW2 B L AE2 S T OW1 M AH0 +RETINOID R EH1 T IH0 N OY0 D +RETINOIDS R EH1 T IH0 N OY0 D Z +RETINOL R EH1 T IH0 N AO2 L +RETINUE R EH1 T AH0 N UW2 +RETINYL R EH1 T IH0 N AH0 L +RETIRE R IH0 T AY1 R +RETIRE(2) R IY0 T AY1 R +RETIRE(3) R IY2 T AY1 ER0 +RETIRED R IH0 T AY1 R D +RETIRED(2) R IY0 T AY1 ER0 D +RETIRED(3) R IY0 T AY1 R D +RETIREE R IY0 T AY1 R IY1 +RETIREE'S R IH0 T AY2 R IY1 Z +RETIREES R IY0 T AY1 R IY1 Z +RETIREES' R IH0 T AY2 R IY1 Z +RETIREMENT R IY0 T AY1 ER0 M AH0 N T +RETIREMENT(2) R IH0 T AY1 ER0 M AH0 N T +RETIREMENT'S R IH0 T AY1 R M AH0 N T S +RETIREMENT'S(2) R IY0 T AY1 R M AH0 N T S +RETIREMENTS R IH0 T AY1 R M AH0 N T S +RETIREMENTS(2) R IY0 T AY1 R M AH0 N T S +RETIRES R IH0 T AY1 R Z +RETIRES(2) R IY0 T AY1 ER0 Z +RETIRES(3) R IY0 T AY1 R Z +RETIRING R IH0 T AY1 R IH0 NG +RETIRING(2) R IY0 T AY1 ER0 IH0 NG +RETIRING(3) R IY0 T AY1 R IH0 NG +RETLIN R EH1 T L IH0 N +RETO R IY1 T UW1 +RETOOK R IY0 T UH1 K +RETOOL R IY0 T UW1 L +RETOOLED R IY0 T UW1 L D +RETOOLING R IY0 T UW1 L IH0 NG +RETORT R IY1 T AO2 R T +RETORTED R IY0 T AO1 R T IH0 D +RETORTS R IH0 T AO1 R T S +RETORTS(2) R IY0 T AO1 R T S +RETOUCHING R IY0 T AH1 CH IH0 NG +RETRACE R IY0 T R EY1 S +RETRACED R IY0 T R EY1 S T +RETRACEMENT R IY0 T R EY1 S M AH0 N T +RETRACING R IY0 T R EY1 S IH0 NG +RETRACT R IY0 T R AE1 K T +RETRACTABLE R IY0 T R AE1 K T AH0 B AH0 L +RETRACTED R IY0 T R AE1 K T AH0 D +RETRACTING R IY0 T R AE1 K T IH0 NG +RETRACTION R IY0 T R AE1 K SH AH0 N +RETRACTS R IY0 T R AE1 K T S +RETRAIN R IY0 T R EY1 N +RETRAINED R IY0 T R EY1 N D +RETRAINING R IY0 T R EY1 N IH0 NG +RETRANSMISSION R IY2 T R AE0 N Z M IH1 SH AH0 N +RETREAD R IY0 T R EH1 D +RETREADING R IY0 T R EH1 D IH0 NG +RETREADS R IY0 T R EH1 D Z +RETREAT R IY0 T R IY1 T +RETREATED R IY0 T R IY1 T AH0 D +RETREATED(2) R IY0 T R IY1 T IH0 D +RETREATING R IY0 T R IY1 T IH0 NG +RETREATS R IY0 T R IY1 T S +RETRENCH R IY0 T R EH1 N CH +RETRENCHED R IY0 T R EH1 N CH T +RETRENCHING R IY0 T R EH1 N CH IH0 NG +RETRENCHMENT R IY0 T R EH1 N CH M AH0 N T +RETRENCHMENTS R IY0 T R EH1 N CH M AH0 N T S +RETRIAL R IY0 T R AY1 AH0 L +RETRIBUTION R EH2 T R AH0 B Y UW1 SH AH0 N +RETRIED R IY0 T R AY1 D +RETRIEVAL R IH0 T R IY1 V AH0 L +RETRIEVAL(2) R IY0 T R IY1 V AH0 L +RETRIEVE R IH0 T R IY1 V +RETRIEVE(2) R IY0 T R IY1 V +RETRIEVED R IY0 T R IY1 V D +RETRIEVER R IY0 T R IY1 V ER0 +RETRIEVERS R IY0 T R IY1 V ER0 Z +RETRIEVES R IH0 T R IY1 V Z +RETRIEVES(2) R IY0 T R IY1 V Z +RETRIEVING R IY0 T R IY1 V IH0 NG +RETRO R EH1 T R OW0 +RETROACTIVE R EH2 T R OW0 AE1 K T IH0 V +RETROACTIVELY R EH2 T R OW0 AE1 K T IH0 V L IY0 +RETROACTIVITY R EH2 T R OW0 AE0 K T IH1 V IH0 T IY0 +RETROCESSION R EH2 T R OW0 S EH1 SH AH0 N +RETROCESSIONARIES R EH2 T R OW0 S EH1 SH AH0 N EH0 R IY0 Z +RETROCESSIONARY R EH2 T R OW0 S EH1 SH AH0 N EH0 R IY0 +RETROFIT R EH1 T R OW0 F IH2 T +RETROFITS R EH1 T R OW0 F IH2 T S +RETROFITTED R EH1 T R OW2 F IH2 T IH0 D +RETROFITTER R EH1 T R OW2 F IH2 T ER0 +RETROFITTING R EH1 T R OW0 F IH2 T IH0 NG +RETROGRADE R EH1 T R AH0 G R EY2 D +RETROSPECT R EH1 T R AH0 S P EH2 K T +RETROSPECTIVE R EH2 T R AH0 S P EH1 K T IH0 V +RETROSPECTIVELY R EH2 T R OW0 S P EH1 K T IH0 V L IY0 +RETROVIR R EH1 T R OW0 V IH2 R +RETROVIRUS R EH2 T R OW0 V AY1 R AH0 S +RETROVIRUSES R EH2 T R OW0 V AY1 R AH0 S IH0 Z +RETRY R IY0 T R AY1 +RETRYING R IY0 T R AY1 IH0 NG +RETTBERG R EH1 T B ER0 G +RETTER R EH1 T ER0 +RETTEW R EH1 CH UW0 +RETTIG R EH1 T IH0 G +RETTINGER R EH1 T IH0 N JH ER0 +RETTINGER(2) R EH1 T IH0 NG ER0 +RETTKE R EH1 T K IY0 +RETTON R EH1 T AH0 N +RETURN R IH0 T ER1 N +RETURN(2) R IY0 T ER1 N +RETURNABLE R IY0 T ER1 N AH0 B AH0 L +RETURNED R IH0 T ER1 N D +RETURNED(2) R IY0 T ER1 N D +RETURNEE R IH0 T ER0 N IY1 +RETURNEES R IH0 T ER0 N IY1 Z +RETURNING R IH0 T ER1 N IH0 NG +RETURNING(2) R IY0 T ER1 N IH0 NG +RETURNS R IH0 T ER1 N Z +RETURNS(2) R IY0 T ER1 N Z +RETURNS' R AH0 T ER1 N Z +RETURNS'(2) R IY0 T ER1 N Z +RETZ R EH1 T S +RETZER R EH1 T Z ER0 +RETZLAFF R EH1 T Z L AH0 F +RETZLOFF R EH1 T Z L AO0 F +REUBEN R UW1 B AH0 N +REUBER R OY1 B ER0 +REUL R UW1 L +REULAND R OY1 L AH0 N D +REULE R UW1 L +REUM R IY1 AH0 M +REUNIFICATION R IY0 UW2 N AH0 F AH0 K EY1 SH AH0 N +REUNIFIED R IY0 UW1 N AH0 F AY2 D +REUNIFY R IY0 UW1 N AH0 F AY2 +REUNION R IY0 UW1 N Y AH0 N +REUNIONS R IY0 UW1 N Y AH0 N Z +REUNITE R IY2 UW0 N AY1 T +REUNITED R IY2 UW0 N AY1 T IH0 D +REUNITES R IY2 UW0 N AY1 T S +REUNITING R IY2 UW0 N AY1 T IH0 NG +REUSABLE R IY0 UW1 Z AH0 B AH0 L +REUSCH R OY1 SH +REUSE R IY0 Y UW1 S +REUSE(2) R IY0 Y UW1 Z +REUSED R IY0 UW1 Z D +REUSING R IY0 Y UW1 Z IH0 NG +REUSS R 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AY1 ER0 D +REWIRING R IY0 W AY1 ER0 IH0 NG +REWIS R UW1 IH0 S +REWORD R IY0 W ER1 D +REWORK R IY0 W ER1 K +REWORKED R IY0 W ER1 K T +REWORKING R IY0 W ER1 K IH0 NG +REWRITE R IY0 R AY1 T +REWRITE(2) R IY1 R AY2 T +REWRITES R IY0 R AY1 T S +REWRITING R IY0 R AY1 T IH0 NG +REWRITTEN R IY0 R IH1 T AH0 N +REWROTE R IY0 R OW1 T +REX R EH1 K S +REXALL R EH1 K S AO2 L +REXANA R IH0 G Z AE1 N AH0 +REXENE R EH1 K S IY0 N +REXFORD R EH1 K S F ER0 D +REXHAM R EH1 K S AH0 M +REXNORD R EH1 K S N AO0 R D +REXON R EH1 K S AH0 N +REXROAD R EH1 K S R OW2 D +REXROAT R EH1 K S R OW0 T +REXRODE R EH1 K S R OW0 D +REXRODT R EH1 K S R OW0 D +REXROTH R EH1 K S R AA0 TH +REY R EY1 +REYBURN R EY1 B ER0 N +REYCRAFT R EY1 K R AE2 F T +REYER R EY1 ER0 +REYES R EY1 IH0 S +REYKJAVIK R EH1 K Y AH0 V IH0 K +REYKJAVIK(2) R EY1 K AH0 V IH0 K +REYMAN R EY1 M AH0 N +REYNA R EY1 N AH0 +REYNAGA R IY0 N AA1 G AH0 +REYNALDO R EY2 N AA1 L D OW0 +REYNARD R EY1 N ER0 D +REYNAUD R EY1 N AO0 D +REYNOLD R EH1 N AH0 L D +REYNOLDS R 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AE1 N TH +RHODE R OW1 D +RHODE-ISLAND R OW1 D AY1 L AH0 N D +RHODE-ISLAND'S R OW1 D AY1 L AH0 N D Z +RHODE-ISLANDER R OW1 D AY1 L AH0 N D ER0 +RHODE-ISLANDERS R OW1 D AY1 L AH0 N D ER0 Z +RHODEN R OW1 D AH0 N +RHODES R OW1 D Z +RHODESIA R OW0 D IY1 ZH AH0 +RHODESIAN R OW0 D IY1 ZH AH0 N +RHODIA R OW1 D IY0 AH0 +RHODIES R OW1 D IY0 Z +RHODIUM R OW1 D IY0 AH0 M +RHODODENDRON R OW2 D AH0 D EH1 N D R AH0 N +RHODOPSIN R OW0 D AA1 P S AH0 N +RHODUS R OW1 D AH0 S +RHODY R OW1 D IY0 +RHOME R OW1 M +RHONDA R AA1 N D AH0 +RHONE R OW1 N +RHONEY R OW1 N IY0 +RHORER R AO1 R ER0 +RHOTEN R OW1 T AH0 N +RHOTO R OW1 T OW0 +RHOTON R OW1 T AH0 N +RHUBARB R UW1 B AA2 R B +RHUDE R UW1 D +RHUDY R UW1 D IY0 +RHUE R UW1 +RHULE R UW1 L +RHYME R AY1 M +RHYMED R AY1 M D +RHYMER R AY1 M ER0 +RHYMES R AY1 M Z +RHYMING R AY1 M IH0 NG +RHYNE R AY1 N +RHYNER R AY1 N ER0 +RHYNES R AY1 N Z +RHYS R IY1 S +RHYS-JONES R IY1 S JH OW1 N Z +RHYTHM R IH1 DH AH0 M +RHYTHMIC R IH1 DH M IH0 K +RHYTHMICALLY R IH1 DH M IH0 K L IY0 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L IY0 +RICCIARDI R IY0 CH AA1 R D IY0 +RICCIO R IY1 CH IY0 OW0 +RICCITELLI R IY0 CH IY0 T EH1 L IY0 +RICCIUTI R IY0 K CH UW1 T IY0 +RICCO R IH1 K OW0 +RICCOBONO R IY0 K OW0 B OW1 N OW0 +RICE R AY1 S +RICE'S R AY1 S IH0 Z +RICEVILLE R AY1 S V IH0 L +RICH R IH1 CH +RICH'S R IH1 CH IH0 Z +RICHA R IH1 CH AH0 +RICHARD R IH1 CH ER0 D +RICHARD'S R IH1 CH ER0 D Z +RICHARDS R IH1 CH ER0 D Z +RICHARDS' R IH1 CH ER0 D Z +RICHARDS'S R IH1 CH ER0 D Z IH0 Z +RICHARDSON R IH1 CH ER0 D S AH0 N +RICHARDSON'S R IH1 CH ER0 D S AH0 N Z +RICHARDSONSMITH R IH1 CH ER0 D S AH0 N S M IH1 TH +RICHARDT R IH1 K AA0 R T +RICHARSON R IH1 CH AA2 R S AH0 N +RICHART R IH1 K HH AA2 R T +RICHAUD R IH0 SH OW2 D +RICHBOURG R IH1 CH B AO2 R G +RICHBURG R IH1 CH B ER0 G +RICHCO R IH1 K OW0 +RICHCREEK R IH1 CH K R IY2 K +RICHE R IH1 CH +RICHELIEU R IH1 SH AH0 L UW2 +RICHELSON R IH1 CH AH0 L S AH0 N +RICHEMONT R IH1 CH AH0 M AA2 N T +RICHENTHAL R IH1 K AH0 N TH AO2 L +RICHER R IH1 CH ER0 +RICHERD R IH1 CH ER0 D +RICHERSON R IH1 CH ER0 S AH0 N +RICHERT R IH1 K ER0 T +RICHES R IH1 CH AH0 Z +RICHES(2) R IH1 CH IH0 Z +RICHESIN R IH1 K IH0 S IH0 N +RICHESON R IH1 K IH0 S AH0 N +RICHEST R IH1 CH AH0 S T +RICHEY R IH1 CH IY0 +RICHFIELD R IH1 CH F IY2 L D +RICHFIELD'S R IH1 CH F IY2 L D Z +RICHFORD R IH1 CH F ER0 D +RICHIE R IH1 CH IY0 +RICHINS R IH1 K IH0 N Z +RICHISON R IH1 CH IH0 S AH0 N +RICHLAND R IH1 CH L AH0 N D +RICHLAND(2) R IH1 CH L AE0 N +RICHLY R IH1 CH L IY0 +RICHMAN R IH1 CH M AE2 N +RICHMOND R IH1 CH M AH0 N D +RICHMOND'S R IH1 CH M AH0 N D Z +RICHNER R IH1 K N ER0 +RICHNESS R IH1 CH N AH0 S +RICHOUX R IH0 SH UW1 +RICHSTONE R IH1 CH S T OW2 N +RICHTER R IH1 K T ER0 +RICHTON R IH1 CH T AH0 N +RICHTS R IH1 K T S +RICHWHITE R IH1 CH W AY2 T +RICHWINE R IH1 CH W AY2 N +RICIGLIANO R IH0 S IH2 G L IY0 AA1 N OW0 +RICK R IH1 K +RICK'S R IH1 K S +RICKABAUGH R IH1 K AH0 B AO2 +RICKARD R IH1 K ER0 D +RICKARDS R IH1 K ER0 D Z +RICKE R IH1 K +RICKEL R IH1 K AH0 L +RICKELS R IH1 K AH0 L Z +RICKEN R IH1 K AH0 N +RICKENBACH R IH1 K IH0 N B AA0 K +RICKENBAKER R IH1 K IH0 N B AH0 K ER0 +RICKER R IH1 K ER0 +RICKERS R IH1 K ER0 Z +RICKERSON R IH1 K ER0 S AH0 N +RICKERT R IH1 K ER0 T +RICKETS R IH1 K IH0 T S +RICKETSON R IH1 K IH0 T S AH0 N +RICKETT R IH1 K IH0 T +RICKETTS R IH1 K IH0 T S +RICKETY R IH1 K AH0 T IY0 +RICKEY R IH1 K IY0 +RICKI R IH1 K IY0 +RICKIE R IH1 K IY0 +RICKLEFS R IH1 K L IH0 F S +RICKLES R IH1 K AH0 L Z +RICKLES' R IH1 K AH0 L Z +RICKLES'(2) R IH1 K AH0 L Z IH0 Z +RICKMAN R IH1 K M AH0 N +RICKNER R IH1 K N ER0 +RICKS R IH1 K S +RICKSON R IH1 K S AH0 N +RICKWARD R IH1 K W ER0 D +RICKWOOD R IH1 K W UH2 D +RICKY R IH1 K IY2 +RICKY'S R IH1 K IY2 Z +RICO R IY1 K OW0 +RICO'S R IY1 K OW0 Z +RICOCHET R IH1 K AH0 SH EY2 +RICOCHETED R IH1 K AH0 SH EY2 D +RICOCHETING R IH1 K AH0 SH EY2 IH0 NG +RICOH R IY1 K OW0 +RICOH'S R IY1 K OW0 Z +RICOSTRUZIONE R IY0 K OW0 S T R UW0 Z IY0 OW1 N IY0 +RICOTTA R IY0 K AA1 T AH0 +RID R IH1 D +RIDABLE R AY1 D AH0 B AH0 L +RIDDANCE R IH1 D AH0 N S +RIDDELL R IH1 D AH0 L +RIDDEN R IH1 D AH0 N +RIDDER R IH1 D ER0 +RIDDER'S R IH1 D ER0 Z +RIDDICK R IH1 D IH0 K +RIDDING R IH1 D IH0 NG +RIDDLE R IH1 D AH0 L +RIDDLED R IH1 D AH0 L D +RIDDLER R IH1 D L ER0 +RIDDLES R IH1 D AH0 L Z +RIDDOCK R IH1 D AH0 K +RIDE R AY1 D +RIDEAU R IH0 D OW1 +RIDEAUX R IH0 D OW1 +RIDELL R IH0 D EH1 L +RIDEN R AY1 D AH0 N +RIDENER R IH1 D IY0 N ER0 +RIDENHOUR R IH1 D IH0 N AW0 R +RIDENOUR R IH1 D IH0 N UH0 R +RIDEOUT R AY1 D AW2 T +RIDER R AY1 D ER0 +RIDER'S R AY1 D ER0 Z +RIDERS R AY1 D ER0 Z +RIDERSHIP R AY1 D ER0 SH IH2 P +RIDES R AY1 D Z +RIDGE R IH1 JH +RIDGE'S R IH1 JH IH0 S +RIDGECREST R IH1 JH K R EH2 S T +RIDGED R IH1 JH D +RIDGEFIELD R IH1 JH F IY2 L D +RIDGELL R IH1 JH AH0 L +RIDGELY R IH1 JH L IY0 +RIDGES R IH1 JH AH0 Z +RIDGES(2) R IH1 JH IH0 Z +RIDGEWAY R IH1 JH W EY2 +RIDGEWOOD R IH1 JH W UH2 D +RIDGLEY R IH1 JH L IY0 +RIDGWAY R IH1 JH W EY2 +RIDICULE R IH1 D AH0 K Y UW2 L +RIDICULED R IH1 D AH0 K Y UW2 L D +RIDICULES R IH1 D AH0 K Y UW2 L Z +RIDICULING R IH1 D AH0 K Y UW2 L IH0 NG +RIDICULOUS R IH0 D IH1 K Y AH0 L AH0 S +RIDICULOUSLY R AH0 D IH1 K Y AH0 L AH0 S L IY0 +RIDING R AY1 D IH0 NG +RIDINGER R AY1 D IH0 NG ER0 +RIDINGS R AY1 D IH0 NG Z +RIDLEY R IH1 D L IY0 +RIDLING R IH1 D L IH0 NG +RIDLON R IH1 D L AH0 N +RIDNER R IH1 D N ER0 +RIDOLFI R IY0 D OW1 L F IY0 +RIDOUT R IH1 D AW2 T +RIDPATH R IH1 D P AE2 TH +RIDS R IH1 D Z +RIEBE R IY1 B +RIEBEL R IY1 B AH0 L +RIEBEN R IY1 B AH0 N +RIEBER R IY1 B ER0 +RIEBMAN R IY1 B M AH0 N +RIECHERS R IY1 K ER0 Z +RIECK R IY1 K +RIECKE R IY1 K +RIED R IY1 D +RIEDE R IY1 D +RIEDEL R IY1 D AH0 L +RIEDER R IY1 D ER0 +RIEDERER R IY1 D ER0 ER0 +RIEDERS R IY1 D ER0 Z +RIEDERS' R IY1 D ER0 Z +RIEDESEL R IY1 D IH0 S AH0 L +RIEDL R IY1 D AH0 L +RIEDLINGER R IY1 D AH0 L IH0 NG ER0 +RIEDLINGER(2) R IY1 D L IH0 NG ER0 +RIEDY R IY1 D IY0 +RIEF R IY1 F +RIEG R IY1 G +RIEGE R IY1 JH +RIEGEL R IY1 G AH0 L +RIEGER R IY1 G ER0 +RIEGERT R IY1 G ER0 T +RIEGLE R IY1 G AH0 L +RIEGLER R IY1 G L ER0 +RIEHL R IY1 L +RIEHLE R IY1 HH AH0 L +RIEHM R IY1 M +RIEK R IY1 K +RIEKE R IY1 K +RIEKEN R IY1 K AH0 N +RIEKER R IY1 K ER0 +RIEL R IY1 L +RIELLY R IY1 L IY0 +RIELY R IY1 L IY0 +RIEMAN R IY1 M AH0 N +RIEMANN R IY1 M AH0 N +RIEMENSCHNEIDER R IY1 M IH0 N SH N AY0 D ER0 +RIEMER R IY1 M ER0 +RIEMERSMA R IY0 M EH1 R S M AH0 +RIENDEAU R AH0 N D OW1 +RIENSTRA R IY1 N S T R AH0 +RIEPE R IY1 P +RIERA R IY1 R AH0 +RIERSON R IY1 R S AH0 N +RIES R AY1 Z +RIESBERG R IY1 S B ER0 G +RIESE R IY1 Z +RIESEN R IY1 S AH0 N +RIESENBERG R IY1 S AH0 N B ER0 G +RIESER R IY1 S ER0 +RIESH R AY1 SH +RIESH(2) R IY1 SH +RIESLING R IY1 Z L IH0 NG +RIESS R IY1 S +RIESTER R AY1 IH0 S T ER0 +RIESTERER R IY1 S T ER0 ER0 +RIETH R AY1 IH0 TH +RIETMAN R AY1 T M AH0 N +RIETVELD R IY1 T V IH0 L D +RIETZ R IY1 T S +RIEVES R IY1 V Z +RIFE R AY1 F +RIFENBURGH R IH1 F AH0 N B ER0 G +RIFF R IH1 F +RIFFE R IH1 F +RIFFED R IH1 F T +RIFFEL R IH1 F AH0 L +RIFFEY R IH1 F IY0 +RIFFING R IH1 F IH0 NG +RIFFLE R IH1 F AH0 L +RIFFRAFF R IH1 F R AE2 F +RIFFS R IH1 F S +RIFKIN R IH1 F K IH0 N +RIFKIN'S R IH1 F K IH0 N Z +RIFKIND R IH1 F K IH0 N D +RIFLE R AY1 F AH0 L +RIFLE-SHOT R AY1 F AH0 L SH AA2 T +RIFLED R AY1 F AH0 L D +RIFLEMAN R AY1 F AH0 L M AH0 N +RIFLERY R AY1 F AH0 L R IY0 +RIFLES R AY1 F AH0 L Z +RIFLING R AY1 F L IH0 NG +RIFT R IH1 F T +RIFTS R IH1 F T S +RIG R IH1 G +RIGA R IY1 G AH0 +RIGAS R AY1 G AH0 Z +RIGATONI R IH0 G AH0 T OW1 N IY0 +RIGBY R IH1 G B IY0 +RIGDON R IH1 G D AH0 N +RIGEL R AY1 JH AH0 L +RIGG R IH1 G +RIGGAN R IH1 G AH0 N +RIGGED R IH1 G D +RIGGEN R IH1 G AH0 N +RIGGENBACH R IH1 G IH0 N B AA0 K +RIGGI R IH1 JH IY0 +RIGGIN R IH1 G IH0 N +RIGGING R IH1 G IH0 NG +RIGGINGS R IH1 G IH0 NG Z +RIGGINS R IH1 G IH0 N Z +RIGGIO R IY1 JH IY0 OW0 +RIGGLE R IH1 G AH0 L +RIGGLEMAN R IH1 G AH0 L M AH0 N +RIGGS R IH1 G Z +RIGGSBEE R IH1 G Z B IY0 +RIGHETTI R IY0 G EH1 T IY0 +RIGHI R IY1 G IY0 +RIGHT R AY1 T +RIGHT'S R AY1 T S +RIGHT-BRACE R AY1 T B R EY1 S +RIGHT-HAND R AY0 T HH AE1 N D +RIGHT-HANDED R AY0 T HH AE1 N D IH0 D +RIGHT-WINGER R AY2 T W IH1 NG ER0 +RIGHT-WINGERS R AY2 T W IH1 NG ER0 Z +RIGHTED R AY1 T IH0 D +RIGHTEOUS R AY1 CH AH0 S +RIGHTEOUSLY R AY1 CH AH0 S L IY0 +RIGHTEOUSNESS R AY1 CH AH0 S N AH0 S +RIGHTER R AY1 T ER0 +RIGHTFUL R AY1 T F AH0 L +RIGHTFULLY R AY1 T F AH0 L IY0 +RIGHTHAND R AY0 T HH AE1 N D +RIGHTHANDED R AY0 T HH AE1 N D IH0 D +RIGHTISH R AY1 T IH0 SH +RIGHTIST R AY1 T IH0 S T +RIGHTISTS R AY1 T IH0 S T S +RIGHTLY R AY1 T L IY0 +RIGHTMIRE R AY1 T M AY2 R +RIGHTMYER R AY1 T M IY0 ER0 +RIGHTNESS R AY1 T N AH0 S +RIGHTO R AY1 T OW0 +RIGHTS R AY1 T S +RIGHTS' R AY1 T S +RIGHTWARD R AY1 T W ER0 D +RIGHTWING R AY1 T W IH2 NG +RIGHTY R AY1 T IY0 +RIGID R IH1 JH AH0 D +RIGID(2) R IH1 JH IH0 D +RIGIDITIES R IH0 JH IH1 D IH0 T IY0 Z +RIGIDITY R IH0 JH IH1 D AH0 T IY0 +RIGIDLY R IH1 JH IH0 D L IY0 +RIGLER R AY1 G AH0 L ER0 +RIGLER(2) R IH1 G L ER0 +RIGNEY R IH1 G N IY0 +RIGO R IY1 G OW0 +RIGOLETTO R IH2 G AH0 L EH1 T OW0 +RIGONI R IY0 G OW1 N IY0 +RIGOR R IH1 G ER0 +RIGOROUS R IH1 G ER0 AH0 S +RIGOROUSLY R IH1 G ER0 AH0 S L IY0 +RIGORS R IH1 G ER0 Z +RIGS R IH1 G Z +RIGSBEE R IH1 G Z B IY2 +RIGSBY R IH1 G Z B IY0 +RIGUEUR R IH0 G Y UW1 R +RIGUEUR(2) R IH1 G ER0 +RIHA R AY1 HH AH0 +RIHANNA R IY2 HH AA1 N AH0 +RIHN R IH1 N +RIJN R IY1 AH0 N +RIKARD R IH1 K ER0 D +RIKE R AY1 K +RIKELD R AY1 K EH0 L D +RIKELD(2) R IH1 K EH0 L D +RIKER R AY1 K ER0 +RIKER'S R AY1 K ER0 Z +RIKERS R AY1 K ER0 Z +RIKKI R IH1 K IY0 +RIKLIS R IH1 K L IH0 S +RIKSBANK R IH1 K S B AE2 NG K +RIKSDAG R IH1 K S D AE0 G +RILE R AY1 L +RILED R AY1 L D +RILES R AY1 L Z +RILEY R AY1 L IY0 +RILEY'S R AY1 L IY0 Z +RILL R IH1 L +RILL'S R IH1 L Z +RILLA R IH1 L AH0 +RILLETTE R IH0 L EH1 T +RILLING R IH1 L IH0 NG +RILWANU R IH0 L W AA1 N UW0 +RIM R IH1 M +RIMA R IY1 M AH0 +RIMBEY R IH1 M B IY0 +RIME R AY1 M +RIMEL R IH1 M AH0 L +RIMER R AY1 M ER0 +RIMES R AY1 M Z +RIMKUS R IH1 M K AH0 S +RIMMED R IH1 M D +RIMMER R IH1 M ER0 +RIMPOCHET R IH0 P OW1 CH IH0 T +RIMPOCHET(2) R IH2 M P OW1 CH AH0 T +RIMPOCHETS R IH2 P OW1 CH IH0 T S +RIMPOCHETS(2) R IH2 M P OW1 CH IH0 T S +RIMS R IH1 M Z +RIMSON R IH1 M S AH0 N +RINA R IY1 N AH0 +RINALDI R IY0 N AA1 L D IY0 +RINALDO R IH0 N AA1 L D OW0 +RINARD R IH1 N ER0 D +RINAS R AY1 N AH0 Z +RINAUDO R IY0 N AO1 D OW0 +RINCK R IH1 NG K +RINCON R IH1 NG K AH0 N +RIND R AY1 N D +RINDAHL R IH1 N D AA2 L +RINDERER R IH1 N D ER0 ER0 +RINDERKNECHT R IH1 N D ER0 K N IH0 K T +RINDFLEISCH R IH1 N D F L AY2 SH +RINDS R AY1 N D Z +RINDT R IH1 N T +RINE R AY1 N +RINEER R IH1 N IH0 R +RINEHARDT R AY1 N HH AA2 R T +RINEHART R AY1 N HH AA2 R T +RINEHIMER R AY1 N HH AY2 M ER0 +RINELLA R IH0 N EH1 L AH0 +RINER R AY1 N ER0 +RINES R AY1 N Z +RINEY R AY1 N IY0 +RING R IH1 NG +RING'S R IH1 NG Z +RING-AROUND-THE-ROSY R IH1 NG ER0 AW1 N DH ER0 OW1 Z IY0 +RINGBERG R IH1 NG B ER0 G +RINGDAHL R IH1 NG D AA0 L +RINGE R IH1 NG +RINGED R IH1 NG D +RINGEISEN R IH1 NG G AY0 S AH0 N +RINGEL R IH1 NG G AH0 L +RINGEN R IH1 NG AH0 N +RINGENBERG R IH1 NG AH0 N B ER0 G +RINGER R IH1 NG ER0 +RINGERS R IH1 NG ER0 Z +RINGGENBERG R IH1 NG G AH0 N B ER0 G +RINGGIT R IH1 NG IH0 T +RINGGOLD R IH1 NG G OW2 L D +RINGING R IH1 NG IH0 NG +RINGLAND R IH1 NG G L AH0 N D +RINGLE R IH1 NG G AH0 L +RINGLEADER R IH1 NG L IY2 D ER0 +RINGLEADERS R IH1 NG L IY2 D ER0 Z +RINGLER R IH1 NG G AH0 L ER0 +RINGLER(2) R IH1 NG G L ER0 +RINGLEY R IH1 NG G L IY0 +RINGLING R IH1 NG L IH0 NG +RINGMASTER R IH1 NG M AE2 S T ER0 +RINGNECK R IH1 NG N EH2 K +RINGO R IY1 NG G OW0 +RINGOLD R IH1 NG G OW0 L D +RINGQUIST R IH1 NG K W IH0 S T +RINGS R IH1 NG Z +RINGSIDE R IH1 NG S AY2 D +RINGSTAD R IH1 NG S T AH0 D +RINGUETTE R IH0 NG EH1 T +RINGWALD R IH1 NG W AO0 L D +RINGWOOD R IH1 NG W UH2 D +RINI R IY1 N IY0 +RININGER R IH1 N IH0 NG ER0 +RINK R IH1 NG K +RINKE R IH1 NG K +RINKENBERGER R IH1 NG K AH0 N B ER0 G ER0 +RINKER R IH1 NG K ER0 +RINKO R IH1 NG K OW0 +RINKS R IH1 NG K S +RINN R IH1 N +RINNE R IH1 N +RINSE R IH1 N S +RINSING R IH1 N S IH0 NG +RINTALA R IY0 N T AA1 L AH0 +RINTEL R IH0 N T EH1 L +RINTEL'S R IH0 N T EH1 L Z +RINTELS R IH0 N T EH1 L Z +RINTELS' R IH0 N T EH1 L Z +RIO R IY1 OW0 +RIO'S R IY1 OW0 Z +RIO-DE-JANEIRO R IY1 OW0 D IY1 JH AH0 N EH1 R OW2 +RIOJAS R IY0 OW1 Y AA0 Z +RIOLO R IY0 OW1 L OW0 +RION R AY1 AH0 N +RIOPEL R IY0 AH0 P EH1 L +RIOPELLE R IY0 AH0 P EH1 L IY0 +RIORDAN R IH1 R D AH0 N +RIORDAN'S R IH1 R D AH0 N Z +RIOS R IY1 OW0 S +RIOT R AY1 AH0 T +RIOTED R AY1 AH0 T IH0 D +RIOTER R AY1 AH0 T ER0 +RIOTERS R AY1 AH0 T ER0 Z +RIOTING R AY1 AH0 T IH0 NG +RIOTOUS R AY1 AH0 T AH0 S +RIOTS R AY1 AH0 T S +RIOTS' R AY1 AH0 T S +RIOUX R UW1 +RIP R IH1 P +RIPA R IY1 P AH0 +RIPE R AY1 P +RIPEN R AY1 P AH0 N +RIPENED R AY1 P AH0 N D +RIPENING R AY1 P AH0 N IH0 NG +RIPENING(2) R AY1 P N IH0 NG +RIPHAGEN R IH1 P AA2 G AH0 N +RIPKA R IY1 P K AH0 +RIPKE R IH1 P K +RIPKEN R IH1 P K AH0 N +RIPKEN'S R IH1 P K AH0 N Z +RIPKIN R IH1 P K IH0 N +RIPLEY R IH1 P L IY0 +RIPOFF R IH1 P AO2 F +RIPOFFS R IH1 P AO2 F S +RIPOSTE R IH0 P OW1 S T +RIPOSTES R IH0 P AO1 S T S +RIPP R IH1 P +RIPPE R IH1 P +RIPPED R IH1 P T +RIPPEE R IH1 P IY1 +RIPPEL R IH1 P AH0 L +RIPPEON R IH1 P IY0 AH0 N +RIPPER R IH1 P ER0 +RIPPERGER R IH1 P ER0 G ER0 +RIPPETOE R IH1 P IH0 T OW0 +RIPPEY R IH1 P IY0 +RIPPING R IH1 P IH0 NG +RIPPLE R IH1 P AH0 L +RIPPLED R IH1 P AH0 L D +RIPPLES R IH1 P AH0 L Z +RIPPLING R IH1 P AH0 L IH0 NG +RIPPLING(2) R IH1 P L IH0 NG +RIPPLINGER R IH1 P AH0 L IH0 NG ER0 +RIPPLINGER(2) R IH1 P L IH0 NG ER0 +RIPPON R IH1 P AH0 N +RIPPY R IH1 P IY0 +RIPS R IH1 P S +RISA R IY1 S AH0 +RISBERG R IH1 S B ER0 G +RISC R IH1 S K +RISCH R IH1 SH +RISDEN R IH1 S D AH0 N +RISDON R IH1 S D AH0 N +RISE R AY1 Z +RISEN R IH1 Z AH0 N +RISENHOOVER R IH1 S IH0 N HH UW0 V ER0 +RISENHOOVER(2) R AY1 Z IH0 N HH UW0 V ER0 +RISER R AY1 Z ER0 +RISES R AY1 Z AH0 Z +RISES(2) R AY1 Z IH0 Z +RISH R IH1 SH +RISHEL R IH1 SH AH0 L +RISHELL R IH1 SH AH0 L +RISHER R IH1 SH ER0 +RISI R IY1 S IY0 +RISIN R AY1 Z IH0 N +RISING R AY1 Z IH0 NG +RISINGER R AY1 Z IH0 NG ER0 +RISK R IH1 S K +RISKE R IH1 S K +RISKE'S R IH1 S K S +RISKED R IH1 S K T +RISKIER R IH1 S K IY0 ER0 +RISKIEST R IH1 S K IY0 AH0 S T +RISKIN R IH1 S K IH0 N +RISKINESS R IH1 S K IY0 N AH0 S +RISKING R IH1 S K IH0 NG +RISKLESS R IH1 S K L AH0 S +RISKO R IH1 S K OW0 +RISKS R IH1 S K S +RISKY R IH1 S K IY0 +RISLEY R IH1 Z L IY0 +RISNER R IH1 S N ER0 +RISO R IY1 S OW0 +RISON R IH1 S AH0 N +RISOTTO R IY2 S AO1 T OW2 +RISPOLI R IY0 S P OW1 L IY0 +RISQUE R IH2 S K EY1 +RISS R IH1 S +RISSE R IH1 S +RISSER R IH1 S ER0 +RISSLER R IH1 S L ER0 +RISSMAN R IH1 S M AH0 N +RISSMILLER R IH1 S M IH0 L ER0 +RISSMILLER'S R IH1 S M IH0 L ER0 Z +RISSO R IH1 S OW0 +RISSO'S R IH1 S OW0 Z +RISSOLI R IH0 S OW1 L IY0 +RISSOLI'S R IH0 S OW1 L IY0 Z +RIST R IH1 S T +RISTAU R IH1 S T AW0 +RISTER R IH1 S T ER0 +RISTON R IH1 S T AH0 N +RISTORANTE R IH0 S T ER0 AA1 N T EY0 +RISTORANTES R IH0 S T ER0 AA1 N T EY0 Z +RISTOW R IH1 S T OW0 +RITA R IY1 T AH0 +RITA'S R IY1 T AH0 Z +RITACCO R IY0 T AA1 K OW0 +RITALIN R IH1 T AH0 L IH0 N +RITCEY R IH1 T S IY0 +RITCEY'S R IH1 T S IY0 Z +RITCH R IH1 CH +RITCHEY R IH1 CH IY0 +RITCHEY'S R IH1 CH IY0 Z +RITCHIE R IH1 CH IY0 +RITCHIE'S R IH1 CH IY0 Z +RITE R AY1 T +RITE'S R AY1 T S +RITENOUR R IH1 T AH0 N AW0 R +RITENOUR(2) R AY1 T AH0 N AW0 R +RITENOUR'S R IH1 T AH0 N AW0 R Z +RITENOUR'S(2) R AY1 T AH0 N AW0 R Z +RITER R AY1 T ER0 +RITES R AY1 T S +RITESH R IH2 T EH1 SH +RITGER R IH1 T G ER0 +RITNER R IH1 T N ER0 +RITSEMA R IH0 T S IY1 M AH0 +RITSON R IH1 T S AH0 N +RITT R IH1 T +RITT'S R IH1 T S +RITTENBERG R IH1 T AH0 N B ER0 G +RITTENBERG'S R IH1 T AH0 N B ER0 G Z +RITTENBERRY R IH1 T AH0 N B EH0 R IY0 +RITTENBERRY'S R IH1 T AH0 N B EH0 R IY0 Z +RITTENHOUSE R IH1 T AH0 N HH AW2 S +RITTENHOUSE'S R IH1 T AH0 N HH AW2 S IH0 Z +RITTENOUR R IH1 T AH0 N AW0 R +RITTENOUR'S R IH1 T AH0 N AW0 R Z +RITTER R IH1 T ER0 +RITTER'S R IH1 T ER0 Z +RITTERBUSCH R IH1 T ER0 B UH2 SH +RITTEREISER R IH1 T ER0 AY2 Z ER0 +RITTEREISER'S R IH1 T ER0 AY2 Z ER0 Z +RITTGERS R IH1 T G ER0 Z +RITTHALER R IH1 TH AH0 L ER0 +RITTLE R IH1 T AH0 L +RITTMAN R IH1 T M AH0 N +RITTNER R IH1 T N ER0 +RITTS R IH1 T S +RITUAL R IH1 CH UW0 AH0 L +RITUALISTIC R IH2 CH UW0 AH0 L IH1 S T IH0 K +RITUALISTICALLY R IH2 CH UW0 AH0 L IH1 S T IH0 K AH0 L IY0 +RITUALISTICALLY(2) R IH2 CH UW0 AH0 L IH1 S T IH0 K L IY0 +RITUALS R IH1 CH UW0 AH0 L Z +RITZ R IH1 T S +RITZEL R IH1 T Z AH0 L +RITZENTHALER R IH1 T Z IH0 N TH AH0 L ER0 +RITZENTHALER(2) R IH1 T S IH0 N TH AA2 L ER0 +RITZER R IH1 T Z ER0 +RITZERT R IH1 T Z ER0 T +RITZIEST R IH1 T S IY0 AH0 S T +RITZMAN R IH1 T S M AH0 N +RITZY R IH1 T S IY0 +RIUNITE R IY0 UW0 N AY1 T +RIUNITE(2) R IY0 UW0 N AY1 T IY0 +RIVA R IY1 V AH0 +RIVAL R AY1 V AH0 L +RIVAL'S R AY1 V AH0 L Z +RIVALED R AY1 V AH0 L D +RIVALING R AY1 V AH0 L IH0 NG +RIVALING(2) R AY1 V L IH0 NG +RIVALRIES R AY1 V AH0 L R IY0 Z +RIVALRY R AY1 V AH0 L R IY0 +RIVALS R AY1 V AH0 L Z +RIVALS' R AY1 V AH0 L Z +RIVARD R IH1 V ER0 D +RIVAS R IY1 V AA0 Z +RIVEN R IH1 V AH0 N +RIVENBARK R IH1 V IH0 N B AA0 R K +RIVENBURG R IH1 V AH0 N B ER0 G +RIVENBURGH R IH1 V IH0 N B ER0 G +RIVER R IH1 V ER0 +RIVER'S R IH1 V ER0 Z +RIVERA R IH0 V EH1 R AH0 +RIVERBANK R IH1 V ER0 B AE2 NG K +RIVERBED R IH1 V ER0 B EH2 D +RIVERBEND R IH1 V ER0 B EH2 N D +RIVERBOAT R IH1 V ER0 B OW2 T +RIVERBOAT'S R IH1 V ER0 B OW2 T S +RIVERBOATS R IH1 V ER0 B OW2 T S +RIVERDALE R IH1 V ER0 D EY2 L +RIVERFRONT R IH1 V ER0 F R AH2 N T +RIVERHEAD R IH1 V ER0 HH EH2 D +RIVERO R IY0 V EH1 R OW0 +RIVERS R IH1 V ER0 Z +RIVERSIDE R IH1 V ER0 S AY2 D +RIVERSO R IH1 V ER0 S OW0 +RIVERWAY R IH1 V ER0 W EY2 +RIVERWOOD R IH1 V ER0 W UH2 D +RIVES R AY1 V Z +RIVEST R IH1 V IH0 S T +RIVET R IH1 V AH0 T +RIVETED R IH1 V AH0 T IH0 D +RIVETING R IH1 V AH0 T IH0 NG +RIVETS R IH1 V AH0 T S +RIVETT R IH1 V IH0 T +RIVETTE R IH0 V EH1 T +RIVIELLO R IY2 V IY0 EH1 L OW0 +RIVIERA R IH2 V IY0 EH1 R AH0 +RIVIERE R IH1 V IY0 EH0 R +RIVIERES R IH0 V Y IH1 R EH0 Z +RIVKIN R IH1 V K IH0 N +RIVKIND R IH1 V K IH0 N D +RIVLIN R IH1 V L IH0 N +RIX R IH1 K S +RIYAD R IY0 AA1 D +RIYAD(2) R IY0 AE1 D +RIYADH R IY0 AE1 D +RIYADH(2) R IY0 AA1 D +RIYALS R IY0 Y AA1 L Z +RIZ R IH1 Z +RIZER R AY1 Z ER0 +RIZK R IH1 Z K +RIZO R IY1 Z OW0 +RIZOR R AY1 Z ER0 +RIZZA R IH1 Z AH0 +RIZZI R IH1 Z IY0 +RIZZO R IH1 Z OW0 +RIZZOLI R IH0 Z OW1 L IY0 +RIZZOLO R IY0 T S OW1 L OW0 +RIZZUTI R IY0 T S UW1 T IY0 +RIZZUTO R IY0 T S UW1 T OW0 +RNA AA2 R EH2 N EY1 +RO R OW1 +ROA R OW1 AH0 +ROACH R OW1 CH +ROACHE R OW1 CH +ROACHES R OW1 CH IH0 Z +ROAD R OW1 D +ROAD'S R OW1 D Z +ROADBLOCK R OW1 D B L AA2 K +ROADBLOCKS R OW1 D B L AA2 K S +ROADCAP R OW1 D K AE2 P +ROADES R OW1 D Z +ROADHOUSE R OW1 D HH AW2 S +ROADIE R OW1 D IY0 +ROADMAP R OW1 D M AE2 P +ROADMASTER R OW1 D M AE2 S T ER0 +ROADRAILER R OW1 D R EY2 L ER0 +ROADRUNNER R OW1 D R AH2 N ER0 +ROADS R OW1 D Z +ROADSHOW R OW1 D SH OW2 +ROADSIDE R OW1 D S AY2 D +ROADSIDES R OW1 D S AY2 D Z +ROADSTER R OW1 D S T ER0 +ROADWAY R OW1 D W EY2 +ROADWAYS R OW1 D W EY2 Z +ROADWORK R OW1 D W ER2 K +ROADY R OW1 D IY0 +ROALD R OW1 L D +ROAM R OW1 M +ROAMED R OW1 M D +ROAMING R OW1 M IH0 NG +ROAMS R OW1 M Z +ROAN R OW1 N +ROANE R OW1 N +ROANNA R OW1 N AH0 +ROANOKE R OW1 AH0 N OW2 K +ROAR R AO1 R +ROARED R AO1 R D +ROARING R AO1 R IH0 NG +ROARK R AO1 R K +ROARKE R AO1 R K +ROARS R AO1 R Z +ROARTY R AO1 R T IY0 +ROAST R OW1 S T +ROASTED R OW1 S T AH0 D +ROASTED(2) R OW1 S T IH0 D +ROASTER R OW1 S T ER0 +ROASTERS R OW1 S T ER0 Z +ROASTING R OW1 S T IH0 NG +ROASTS R OW1 S T S +ROAT R OW1 T +ROATH R OW1 TH +ROB R AA1 B +ROB'S R AA1 B Z +ROBACK R OW1 B AE2 K +ROBAINA R OW0 B EY1 N AH0 +ROBAK R OW1 B AH0 K +ROBAR R AH0 B AA1 R +ROBARDS R AA1 B ER0 D Z +ROBARE R OW0 B AA1 R EY0 +ROBARGE R AA1 B AA0 R G +ROBART R AA1 B AA2 R T +ROBARTS R AA1 B AA2 R T S +ROBB R AA1 B +ROBB'S R AA1 B Z +ROBBE R AA1 B +ROBBED R AA1 B D +ROBBEN R AA1 B AH0 N +ROBBER R AA1 B ER0 +ROBBERIES R AA1 B ER0 IY0 Z +ROBBERS R AA1 B ER0 Z +ROBBERSON R AA1 B ER0 S AH0 N +ROBBERY R AA1 B ER0 IY0 +ROBBIE R AA1 B IY0 +ROBBIE'S R AA1 B IY0 Z +ROBBIN R AA1 B IH0 N +ROBBING R AA1 B IH0 NG +ROBBINS R AA1 B IH0 N Z +ROBBS R AA1 B Z +ROBBY R AA1 B IY0 +ROBBY'S R AA1 B IY0 Z +ROBE R OW1 B +ROBECK R OW1 B EH2 K +ROBED R OW1 B D +ROBEL R OW1 B AH0 L +ROBELLO R OW0 B EH1 L OW0 +ROBELO R AA2 B EH1 L OW0 +ROBER R OW1 B ER0 +ROBERDS R AA1 B ER0 D Z +ROBERG R OW1 B ER0 G +ROBERGE R AA1 B ER0 JH +ROBERS R OW1 B ER0 Z +ROBERSON R AA1 B ER0 S AH0 N +ROBERT R AA1 B ER0 T +ROBERT'S R AA1 B ER0 T S +ROBERTA R AH0 B ER1 T AH0 +ROBERTI R AH0 B ER1 T IY0 +ROBERTO R AH0 B EH1 R T OW0 +ROBERTO(2) R OW0 B EH1 R T OW0 +ROBERTS R AA1 B ER0 T S +ROBERTS' R AA1 B ER0 T S +ROBERTS'S R AA1 B ER0 T S IH0 Z +ROBERTSHAW R AA1 B ER1 T SH AO1 +ROBERTSON R AA1 B ER0 T S AH0 N +ROBERTSON'S R AA1 B ER0 T S AH0 N Z +ROBES R OW1 B Z +ROBESON R OW1 B IH0 S AH0 N +ROBEY R OW1 B IY0 +ROBIA R OW1 B IY0 AH0 +ROBICHAUD R AA1 B IH0 SH OW2 +ROBICHAUX R AA1 B IH0 SH OW2 +ROBICHEAUX R AA1 B IH0 SH OW2 +ROBIDEAU R AA1 B IH0 D OW2 +ROBIDOUX R AA1 B IH0 D UW0 +ROBIE R OW1 B IY0 +ROBILLARD R AA1 B IH0 L ER0 D +ROBIN R AA1 B AH0 N +ROBIN(2) R AA1 B IH0 N +ROBIN'S R AA1 B AH0 N Z +ROBIN'S(2) R AA1 B IH0 N Z +ROBINA R AH0 B IY1 N AH0 +ROBINETT R AA1 B IH0 N EH0 T +ROBINETTE R AA1 B IH0 N EH2 T +ROBINHOOD R AA1 B IH0 N HH UH2 D +ROBINIA R OW0 B IY1 N IY0 AH0 +ROBINS R AA1 B AH0 N Z +ROBINS' R AA1 B AH0 N Z +ROBINS'S R AA1 B AH0 N Z IH0 Z +ROBINSON R AA1 B AH0 N S AH0 N +ROBINSON'S R AA1 B AH0 N S AH0 N Z +ROBINSONS R AA1 B AH0 N S AH0 N Z +ROBINSONS' R AA1 B AH0 N S AH0 N Z +ROBISHAW R AA1 B IH0 SH AO2 +ROBISON R AA1 B IH0 S AH0 N +ROBITAILLE R AA1 B IH0 T EY2 L +ROBITUSSIN R AA2 B IH0 T AH1 S IH0 N +ROBITUSSIN(2) R OW2 B AH0 T AH1 S IH0 N +ROBL R AA1 B AH0 L +ROBLE R OW1 B AH0 L +ROBLEDO R OW0 B L EY1 D OW0 +ROBLEE R AA1 B L IY2 +ROBLES R OW1 B AH0 L Z +ROBLEY R AA1 B L IY0 +ROBLIN R AA1 B L IH0 N +ROBLING R OW1 B AH0 L IH0 NG +ROBLING(2) R OW1 B L IH0 NG +ROBNETT R AA1 B N IH0 T +ROBO R OW1 B OW0 +ROBOCOP R OW1 B OW0 K AA2 P +ROBOT R OW1 B AA2 T +ROBOT(2) R OW1 B AH2 T +ROBOT'S R OW1 B AA2 T S +ROBOT'S(2) R OW1 B AH2 T S +ROBOTIC R OW2 B AA1 T IH0 K +ROBOTICS R OW2 B AA1 T IH0 K S +ROBOTS R OW1 B AA2 T S +ROBOTS(2) R OW1 B AH2 T S +ROBS R AA1 B Z +ROBSON R AA1 B S AH0 N +ROBUCK R OW1 B AH0 K +ROBUST R OW0 B AH1 S T +ROBUSTA R AO2 B UH1 S T AH0 +ROBUSTAS R AO2 B UH1 S T AH0 S +ROBUSTELLI R OW2 B AH0 S T EH1 L IY0 +ROBUSTELLI'S R OW2 B AH0 S T EH1 L IY0 Z +ROBUSTLY R OW2 B AH1 S T L IY0 +ROBUSTNESS R OW0 B AH1 S T N AH0 S +ROBY R OW1 B IY0 +ROBYN R AA1 B IH0 N +ROC R AA1 K +ROCA R OW1 K AH0 +ROCAP R OW1 K AE2 P +ROCARD R OW1 K ER0 D +ROCARD(2) R OW1 K AA2 R D +ROCARD(3) R OW2 SH AA1 R D +ROCARD(4) R AH0 K AA1 R D +ROCCA R AA1 K AH0 +ROCCAFORTE R OW0 K AH0 F AO1 R T IY0 +ROCCAS R AA1 K AH0 S +ROCCHI R OW1 K IY0 +ROCCHIO R OW1 K IY0 OW0 +ROCCO R AA1 K OW0 +ROCCO'S R AA1 K OW0 Z +ROCH R AA1 K +ROCHA R OW1 K AH0 +ROCHAT R AA1 CH AH0 T +ROCHBERG R OW1 CH B ER0 G +ROCHE R OW1 CH +ROCHE(2) R OW1 SH +ROCHE'S R OW1 SH IH0 Z +ROCHEFORT R AA1 K IH0 F ER0 T +ROCHEFORT(2) R AA1 SH F ER0 T +ROCHEFORT(3) R AA1 K F ER0 T +ROCHELEAU R AA1 SH IH0 L OW0 +ROCHELLA R AH0 CH EH1 L AH0 +ROCHELLE R OW0 SH EH1 L +ROCHELLE(2) R AH2 SH EH1 L +ROCHELLE'S R OW0 SH EH1 L Z +ROCHELLE'S(2) R AH2 SH EH1 L Z +ROCHER R OW1 CH ER0 +ROCHER(2) R OW1 SH ER0 +ROCHESTER R AA1 CH EH2 S T ER0 +ROCHESTER'S R AA1 CH EH2 S T ER0 Z +ROCHETTE R AH0 SH EH1 T +ROCHFORD R AA1 CH F ER0 D +ROCHLIN R AA1 K L IH0 N +ROCHON R AA1 CH AH0 N +ROCK R AA1 K +ROCK'N'ROLL R AA1 K AH0 N R OW1 L +ROCK'S R AA1 K S +ROCK-AND-ROLL R AA1 K AE1 N D R OW1 L +ROCKABILLY R AA1 K AH0 B IH2 L IY0 +ROCKAFELLOW R AA1 K AH0 F EH2 L OW0 +ROCKAWAY R AA1 K AH0 W EY2 +ROCKE R AA1 K +ROCKED R AA1 K T +ROCKEFELLER R AA1 K AH0 F EH2 L ER0 +ROCKEFELLER'S R AA1 K AH0 F EH2 L ER0 Z +ROCKEFELLERS R AA1 K AH0 F EH2 L ER0 Z +ROCKEL R AA1 K AH0 L +ROCKENBACH R AA1 K IH0 N B AA0 K +ROCKER R AA1 K ER0 +ROCKERS R AA1 K ER0 Z +ROCKET R AA1 K AH0 T +ROCKET'S R AA1 K AH0 T S +ROCKETDYNE R AA1 K IH0 T D AY2 N +ROCKETED R AA1 K AH0 T IH0 D +ROCKETING R AA1 K AH0 T IH0 NG +ROCKETRY R AA1 K AH0 T R IY0 +ROCKETS R AA1 K AH0 T S +ROCKETT R AA1 K IH0 T +ROCKETTE R AA0 K EH1 T +ROCKETTES R AA0 K EH1 T S +ROCKEY R AA1 K IY0 +ROCKFORD R AA1 K F ER0 D +ROCKHILL R AA1 K HH IH2 L +ROCKHOLD R AA1 K HH OW2 L D +ROCKHOLT R AA1 K HH OW2 L T +ROCKIES R AA1 K IY0 Z +ROCKIN' R AA1 K IH0 N +ROCKING R AA1 K IH0 NG +ROCKINGHAM R AA1 K IH0 NG HH AE2 M +ROCKLAND R AA1 K L AH0 N D +ROCKLEY R AA1 K L IY0 +ROCKLIN R AA1 K L IH0 N +ROCKMAN R AA1 K M AH0 N +ROCKMORE R AA1 K M AO0 R +ROCKNE R AA1 K N IY0 +ROCKOFF R AA1 K AO2 F +ROCKOW R AA1 S K OW0 +ROCKPORT R AA1 K P AO2 R T +ROCKRESORT R AA1 K R IH0 Z AO2 R T +ROCKRESORTS R AA1 K R IH0 Z AO2 R T S +ROCKROSE R AA1 K R OW2 Z +ROCKS R AA1 K S +ROCKSTAR R AA1 K S T AA2 R +ROCKVILLE R AA1 K V IH2 L +ROCKWELL R AA1 K W EH2 L +ROCKWELL'S R AA1 K W EH2 L Z +ROCKWOOD R AA1 K W UH2 D +ROCKY R AA1 K IY0 +ROCOCO R AH0 K OW1 K OW2 +ROCQUE R AA1 K +ROD R AA1 D +RODA R OW1 D AH0 +RODABAUGH R AA1 D AH0 B AO0 +RODAK R OW1 D AH0 K +RODALE R OW1 D EY2 L +RODARTE R AA1 D AA0 R T +RODAS R OW1 D AH0 Z +RODD R AA1 D +RODDEN R AA1 D AH0 N +RODDENBERRY R AA1 D AH0 N B EH0 R IY0 +RODDEY R AA1 D IY0 +RODDICK R AA1 D IH2 K +RODDIE R AA1 D IY0 +RODDING R AA1 D IH0 NG +RODDY R AA1 D IY0 +RODE R OW1 D +RODEBAUGH R AA1 D IH0 B AO0 +RODEFER R AA1 D IH0 F ER0 +RODEFFER R AA1 D IH0 F ER0 +RODEHEAVER R AA1 D IH0 HH IY0 V ER0 +RODELA R OW0 D EH1 L AH0 +RODELL R AA1 D AH0 L +RODEN R OW1 D AH0 N +RODENBAUGH R AA1 D IH0 N B AW0 +RODENBECK R OW1 D AH0 N B EH0 K +RODENBERG R OW1 D AH0 N B ER0 G +RODENBERGER R OW1 D AH0 N B ER0 G ER0 +RODENBURG R OW1 D AH0 N B ER0 G +RODENT R OW1 D AH0 N T +RODENTICIDE R OW0 D EH1 N T IH0 S AY0 D +RODENTS R OW1 D AH0 N T S +RODEO R OW1 D IY0 OW2 +RODEOS R OW1 D IY0 OW2 Z +RODER R OW1 D ER0 +RODERICA R OW0 D ER0 IY1 K AH0 +RODERICK R AA1 D R IH0 K +RODERICK'S R AA1 D R IH0 K S +RODES R OW1 D Z +RODEWALD R AA1 D UW0 AO0 L D +RODEWAY R OW1 D W EY2 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R OW1 B AH2 K S +ROECKER R OW1 K ER0 +ROED R OW1 D +ROEDEL R OW1 D AH0 L +ROEDER R OW1 D ER0 +ROEDERER R OW1 D ER0 ER0 +ROEDIGER R OW1 D IH0 G ER0 +ROEDL R OW1 D AH0 L +ROEGNER R OW1 G N ER0 +ROEHI R OW1 IY0 +ROEHL R OW1 L +ROEHLING R OW1 L IH0 NG +ROEHM R OW1 M +ROEHR R AO1 R +ROEHRICH R AO1 R IH0 K +ROEHRIG R AO1 R IH0 G +ROEHRS R AO1 R Z +ROELAND R OW1 L AH0 N D +ROELKE R OW1 L K +ROELL R OW1 L +ROELLE R OW1 L +ROELLER R OW1 L ER0 +ROELOFS R OW1 L AH0 F S +ROEMER R OW1 M ER0 +ROEMMICH R OW1 M IH0 K +ROEN R OW1 N +ROEPER R OW1 P ER0 +ROEPKE R OW1 P K +ROES R OW1 Z +ROESCH R OW1 SH +ROESE R OW1 S +ROESEL R OW1 S AH0 L +ROESER R OW1 Z ER0 +ROESKE R OW1 S K +ROESLER R OW1 S AH0 L ER0 +ROESLER(2) R OW1 S L ER0 +ROESNER R OW1 S N ER0 +ROESSLER R OW1 S AH0 L ER0 +ROESSLER(2) R OW1 S L ER0 +ROESSNER R OW1 S N ER0 +ROETHER R OW1 DH ER0 +ROETHLER R OW1 TH AH0 L ER0 +ROETHLER(2) R OW1 TH L ER0 +ROETTGER R OW1 T G ER0 +ROEVER R AA1 EH0 V ER0 +ROFF R AO1 F +ROFFE R AA1 F +ROFFMAN R AO1 F M AH0 N 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HH AE1 N AH0 +ROHATYN R AA1 HH AH0 T IH0 N +ROHATYN(2) R OW0 HH AE1 T AH0 N +ROHATYN'S R AA1 HH AH0 T IH0 N Z +ROHATYN'S(2) R OW0 HH AE1 T AH0 N Z +ROHDE R OW1 D +ROHDE(2) R OW1 D AH0 +ROHE R OW1 +ROHER R OW1 ER0 +ROHL R OW1 L +ROHLAND R OW1 L AH0 N D +ROHLEDER R OW1 L IH0 D ER0 +ROHLF R OW1 L F +ROHLFING R OW1 L F IH0 NG +ROHLFS R OW1 L F S +ROHLICEK R AA1 L AH0 CH EH0 K +ROHLING R OW1 L IH0 NG +ROHLMAN R OW1 L M AH0 N +ROHLOFF R OW1 L AO0 F +ROHM R OW1 M +ROHMAN R OW1 M AH0 N +ROHMER R OW1 M ER0 +ROHN R AA1 N +ROHNER R OW1 N ER0 +ROHR R AO1 R +ROHRBACH R AO1 R B AA0 K +ROHRBACHER R AO1 R B AA0 K ER0 +ROHRBACK R AO1 R B AE0 K +ROHRBAUGH R AO1 R B AW0 +ROHRBOUGH R AO1 R B AW0 +ROHRER R AO1 R ER0 +ROHRICH R AO1 R IH0 K +ROHRIG R AO1 R IH0 G +ROHRMAN R AO1 R M AH0 N +ROHRS R AO1 R Z +ROHS R OW1 Z +ROHSTOFF R OW1 S T AO0 F +ROHWEDDER R OW1 W IH0 D ER0 +ROHWEDER R OW1 W IH0 D ER0 +ROHWER R OW1 W ER0 +ROHYPNOL R OW2 HH AY1 P N AO2 L +ROI R OY1 +ROIG R OY1 G +ROIL R OY1 L +ROILED R OY1 L D +ROILING R OY1 L IH0 NG +ROISTER R OY1 S T ER0 +ROISTER'S R OY1 S T ER0 Z +ROJAS R OW1 HH AA0 S +ROJEK R OW1 Y EH0 K +ROJO R OW1 JH OW0 +ROKA R OW1 K AH0 +ROKAHR R OW1 K AA2 R +ROKAR R OW1 K AA2 R +ROKICKI R AH0 K IH1 K IY0 +ROKOS R OW1 K OW0 Z +ROKOSZ R AA1 K AH0 SH +ROL R OW1 L +ROLAN R OW1 L AH0 N +ROLAND R OW1 L AH0 N D +ROLANDA R OW0 L AA1 N D AH0 +ROLANDO R OW0 L AA1 N D OW0 +ROLDAN R OW1 L D AH0 N +ROLE R OW1 L +ROLEMODEL R OW1 L M AA2 D AH0 L +ROLEMODELS R OW1 L M AA2 D AH0 L Z +ROLEN R OW1 L AH0 N +ROLEPLAYING R OW1 L P L EY2 IH0 NG +ROLES R OW1 L Z +ROLETTE R OW0 L EH1 T +ROLEX R OW1 L EH0 K S +ROLEY R OW1 L IY0 +ROLF R OW1 L F +ROLFE R OW1 L F +ROLFES R OW1 L F S +ROLFS R OW1 L F S +ROLFSON R OW1 L F S AH0 N +ROLIN R OW1 L IH0 N +ROLING R OW1 L IH0 NG +ROLISON R AA1 L IH0 S AH0 N +ROLL R OW1 L +ROLL'S R OW1 L Z +ROLLA R AA1 L AH0 +ROLLAND R AA1 L AH0 N D +ROLLAND'S R OW1 L AH0 N D Z +ROLLBACK R OW1 L B AE2 K +ROLLBACKS R OW1 L B AE2 K S +ROLLE R OW1 L +ROLLED R OW1 L D 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IH0 L +ROWEN R OW1 AH0 N +ROWENA R OW0 IY1 N AH0 +ROWENTA R OW2 EH1 N T AH0 +ROWER R OW1 ER0 +ROWES R OW1 Z +ROWIN R OW1 IH0 N +ROWING R OW1 IH0 NG +ROWINSKI R OW0 IH1 N S K IY0 +ROWLAND R OW1 L AH0 N D +ROWLAND'S R OW1 L AH0 N D Z +ROWLANDS R OW1 L AH0 N D Z +ROWLES R OW1 L Z +ROWLETT R OW1 L IH0 T +ROWLETTE R OW2 L EH1 T +ROWLEY R OW1 L IY0 +ROWLIE R OW1 L IY0 +ROWLY R OW1 L IY0 +ROWNEY R OW1 N IY0 +ROWNTREE R OW1 N T R IY2 +ROWNTREE'S R OW1 N T R IY2 Z +ROWNY R OW1 N IY0 +ROWS R OW1 Z +ROWSE R OW1 S +ROWSER R OW1 Z ER0 +ROWSEY R OW1 S IY0 +ROWSON R OW1 S AH0 N +ROWTON R OW1 T AH0 N +ROX R AA1 K S +ROX'S R AA1 K S IH0 S +ROXANA R AA0 K S AE1 N AH0 +ROXANI R AA0 K S AA1 N IY0 +ROXANNA R AA2 K S AE1 N AH0 +ROXANNE R AA1 K S IH0 N +ROXANNE(2) R AA2 K S AE1 N +ROXBOROUGH R AA1 K S B AH0 R OW0 +ROXBURY R AA1 K S B EH2 R IY0 +ROXIE R AA1 K S IY0 +ROXINE R AA1 K S AY0 N +ROXY R AA1 K S IY0 +ROY R OY1 +ROY'S R OY1 Z +ROYAL R OY1 AH0 L +ROYAL'S R OY1 AH0 L Z +ROYALE R OY0 AE1 L +ROYALIST R 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K IY0 +ROZZELL R AA1 Z AH0 L +ROZZI R AA1 Z IY0 +RPF AA1 R P IY1 EH1 F +RPM AA1 R P IY1 EH1 M +RSVP AA1 R EH1 S V IY1 P IY1 +RU R UW1 +RU(2) AA1 R Y UW1 +RUA R UW1 AH0 +RUAM R UW1 AH0 M +RUANE R UW0 EY1 N +RUANO R UW0 AA1 N OW0 +RUARK R UW1 AA0 R K +RUB R AH1 B +RUBACK R UW1 B AE2 K +RUBALCABA R UW0 B AA0 L K AA1 B AH0 +RUBALCAVA R UW0 B AA0 L K AA1 V AH0 +RUBANO R UW0 B AA1 N OW0 +RUBBED R AH1 B D +RUBBER R AH1 B ER0 +RUBBERIZE R AH1 B ER0 AY2 Z +RUBBERIZED R AH1 B ER0 AY2 Z D +RUBBERMAID R AH1 B ER0 M EY2 D +RUBBERMAID'S R AH1 B ER0 M EY2 D Z +RUBBERS R AH1 B ER0 Z +RUBBERY R AH1 B ER0 IY0 +RUBBIA R AH1 B IY0 AH0 +RUBBING R AH1 B IH0 NG +RUBBISH R AH1 B IH0 SH +RUBBLE R AH1 B AH0 L +RUBBO R UW1 B OW0 +RUBE R UW1 B +RUBECK R UW1 B EH2 K +RUBEL R UW1 B AH0 L +RUBELL R UW1 B AH0 L +RUBELLA R UW0 B EH1 L AH0 +RUBEN R UW1 B AH0 N +RUBENDALL R AH1 B IH0 N D AH0 L +RUBENFELD R AH1 B IH0 N F EH0 L D +RUBENS R UW1 B AH0 N Z +RUBENSTEIN R UW1 B AH0 N S T AY0 N +RUBENSTEIN(2) R UW1 B AH0 N S T IY0 N +RUBERG R UW1 B ER0 G +RUBERT R UW1 B ER0 T +RUBERTO R UW0 B EH1 R T OW0 +RUBEY R UW1 B IY0 +RUBI R UW1 B IY0 +RUBIA R UW1 B IY0 AH0 +RUBICAM R UW1 B IH0 K AH0 M +RUBICAM'S R UW1 B IH0 K AH0 M Z +RUBICON R UW1 B IH0 K AO0 N +RUBIE R UW1 B IY0 +RUBIES R UW1 B IY0 Z +RUBIK R UW1 B IH0 K +RUBIK'S R UW1 B IH0 K S +RUBIN R UW1 B IH0 N +RUBIN'S R UW1 B IH0 N Z +RUBINA R UW0 B IY1 N AH0 +RUBINO R UW0 B IY1 N OW0 +RUBINSON R AH1 B IH0 N S AH0 N +RUBINSTEIN R UW1 B IH0 N S T IY2 N +RUBINSTEIN(2) R UW1 B IH0 N S T AY2 N +RUBIO R UW1 B IY0 OW0 +RUBIOS R UW1 B IY0 OW0 Z +RUBIS R UW1 B IH0 S +RUBLE R UW1 B AH0 L +RUBLE'S R UW1 B AH0 L Z +RUBLES R UW1 B AH0 L Z +RUBLEY R AH1 B L IY0 +RUBLOFF R AH1 B L AO0 F +RUBOTTOM R AH1 B AH0 T AA0 M +RUBOUT R AH1 B AW2 T +RUBRIC R UW1 B R IH0 K +RUBRIGHT R AH1 B R AY2 T +RUBS R AH1 B Z +RUBY R UW1 B IY0 +RUBY'S R UW1 B IY0 Z +RUCCI R UW1 CH IY0 +RUCH R AH1 CH +RUCHLAMER R UW1 K L AH0 M ER0 +RUCHTI R UW1 K T IY0 +RUCINSKI R AH0 CH IH1 N S K IY0 +RUCK R AH1 K +RUCKEL R AH1 K AH0 L +RUCKELSHAUS R AH1 K AH0 L Z HH AW2 S +RUCKER R AH1 K ER0 +RUCKERT R AH1 K ER0 T +RUCKI R AH1 K IY0 +RUCKLE R AH1 K AH0 L +RUCKMAN R AH1 K M AH0 N +RUCKS R AH1 K S +RUCKSACK R AH1 K S AE2 K +RUCKUS R AH1 K AH0 S +RUD R AH1 D +RUDA R UW1 D AH0 +RUDANI R UW0 D AA1 N IY0 +RUDASILL R AH1 D AH0 S IH0 L +RUDD R AH1 D +RUDDELL R AH1 D AH0 L +RUDDEN R AH1 D AH0 N +RUDDER R AH1 D ER0 +RUDDERLESS R AH1 D ER0 L AH0 S +RUDDICK R AH1 D IH0 K +RUDDLE R AH1 D AH0 L +RUDDOCK R AH1 D AH0 K +RUDDY R AH1 D IY0 +RUDE R UW1 D +RUDEEN R AH1 D IY0 N +RUDEL R UW1 D AH0 L +RUDELL R AH1 D AH0 L +RUDELLE R AH0 D EH1 L +RUDELY R UW1 D L IY0 +RUDEN R UW1 D AH0 N +RUDENESS R UW1 D N AH0 S +RUDENSTEIN R UW1 D IH0 N S T IY0 N +RUDENSTEIN(2) R UW1 D IH0 N S T AY0 N +RUDENSTINE R UW1 D AH0 N Z T AY2 N +RUDER R UW1 D ER0 +RUDER'S R UW1 D ER0 Z +RUDERMAN R UW1 D ER0 M AH0 N +RUDESILL R AH1 D IH0 S AH0 L +RUDEST R UW1 D AH0 S T +RUDGE R AH1 JH +RUDI R UW1 D IY0 +RUDI'S R UW1 D IY0 Z +RUDICH R AH1 D 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UW1 L AH0 N D +RULE R UW1 L +RULE'S R UW1 L Z +RULEBOOK R UW1 L B UH2 K +RULED R UW1 L D +RULEMAKING R UW1 L M EY2 K IH0 NG +RULER R UW1 L ER0 +RULERS R UW1 L ER0 Z +RULES R UW1 L Z +RULEY R UW1 L IY0 +RULING R UW1 L IH0 NG +RULING'S R UW1 L IH0 NG Z +RULINGS R UW1 L IH0 NG Z +RULISON R AH1 L IH0 S AH0 N +RULLI R UW1 L IY0 +RULLMAN R AH1 L M AH0 N +RULLO R UW1 L OW0 +RULON R UW1 L AH0 N +RUM R AH1 M +RUMACK R UW1 M AE0 K +RUMAGE R AH1 M IH0 JH +RUMAN R UW1 M AH0 N +RUMANIA R UW0 M EY1 N IY0 AH0 +RUMANIAN R UW0 M EY1 N IY0 AH0 N +RUMANIAN(2) R UW0 M EY1 N Y AH0 N +RUMBAUGH R AH1 M B AO2 +RUMBERGER R AH1 M B ER0 G ER0 +RUMBLE R AH1 M B AH0 L +RUMBLED R AH1 M B AH0 L D +RUMBLES R AH1 M B AH0 L Z +RUMBLEY R AH1 M B L IY0 +RUMBLING R AH1 M B AH0 L IH0 NG +RUMBLING(2) R AH1 M B L IH0 NG +RUMBLING'S R AH1 M B AH0 L IH0 NG Z +RUMBLING'S(2) R AH1 M B L IH0 NG Z +RUMBLINGS R AH1 M B AH0 L IH0 NG Z +RUMBLINGS(2) R AH1 M B L IH0 NG Z +RUMBOLD R AH1 M B OW2 L D +RUMEN R UW1 M AH0 N +RUMER R UW1 M ER0 +RUMERY R AH1 M ER0 IY0 +RUMFELT R AH1 M F EH2 L T +RUMFORD R AH1 M F ER0 D +RUMINA R UW1 M IH0 N AH0 +RUMINANT R UW1 M AH0 N AH0 N T +RUMINATE R UW1 M IH0 N EY2 T +RUMINATED R UW1 M IH0 N EY2 T IH0 D +RUMINATION R UW2 M IH0 N EY1 SH AH0 N +RUMINATIONS R UW2 M IH0 N EY1 SH AH0 N Z +RUMINSKI R AH0 M IH1 N S K IY0 +RUMLER R AH1 M L ER0 +RUMLEY R AH1 M L IY0 +RUMMAGE R AH1 M IH0 JH +RUMMAGED R AH1 M IH0 JH D +RUMMAGES R AH1 M IH0 JH AH0 Z +RUMMAGING R AH1 M IH0 JH IH0 NG +RUMMEL R AH1 M AH0 L +RUMMELL R AH1 M AH0 L +RUMMY R AH1 M IY0 +RUMNEY R AH1 M N IY0 +RUMOR R UW1 M ER0 +RUMORE R UW0 M AO1 R +RUMORED R UW1 M ER0 D +RUMORS R UW1 M ER0 Z +RUMOUR R UW1 M ER0 +RUMOURS R UW1 M ER0 Z +RUMP R AH1 M P +RUMPEL R AH1 M P AH0 L +RUMPF R AH1 M P F +RUMPH R AH1 M F +RUMPLE R AH1 M P AH0 L +RUMPLED R AH1 M P AH0 L D +RUMRILL R AH1 M R IH0 L +RUMS R AH1 M Z +RUMSEY R AH1 M Z IY0 +RUMSFELD R AH1 M Z F EH2 L D +RUMSON R AH1 M S AH0 N +RUN R AH1 N +RUN'S R AH1 N Z +RUN-DOWN R AH1 N D AW1 N +RUN-ON R AH1 N AA1 N +RUN-ONS R AH1 N AA1 N Z +RUNABOUT R AH1 N AH0 B AW2 T +RUNAROUND R AH1 N AH0 R AW2 N D +RUNAROUND(2) R AH1 N AH0 R AW2 N +RUNAWAY R AH1 N AH0 W EY2 +RUNAWAYS R AH1 N AH0 W EY2 Z +RUNCIE R AH1 N S IY0 +RUNCK R AH1 NG K +RUNCKEL R AH1 NG K AH0 L +RUNCO R AH1 NG K OW0 +RUND R AH1 N D +RUNDALL R AH1 N D AH0 L +RUNDE R AH1 N D +RUNDELL R AH1 N D AH0 L +RUNDLE R AH1 N D AH0 L +RUNDOWN R AH1 N D AW2 N +RUNDQUIST R AH1 N D K W IH2 S T +RUNE R UW1 N +RUNES R UW1 N Z +RUNG R AH1 NG +RUNGE R AH1 N JH +RUNGS R AH1 NG Z +RUNION R UW1 N Y AH0 N +RUNIONS R UW1 N Y AH0 N Z +RUNK R AH1 NG K +RUNKEL R AH1 NG K AH0 L +RUNKLE R AH1 NG K AH0 L +RUNKLES R AH1 NG K AH0 L Z +RUNKO R AH1 N K OW0 +RUNNELLS R AH1 N AH0 L Z +RUNNELS R AH1 N AH0 L Z +RUNNER R AH1 N ER0 +RUNNER'S R AH1 N ER0 Z +RUNNER-UP R AH1 N ER0 AH2 P +RUNNERS R AH1 N ER0 Z +RUNNIN' R AH1 N IH0 N +RUNNING R AH1 N IH0 NG +RUNNINGS R AH1 N IH0 NG Z +RUNNION R AH1 N Y AH0 N +RUNNY R AH1 N IY0 +RUNOFF R AH1 N AO2 F +RUNQUIST R AH1 N K W IH2 S T +RUNS R AH1 N Z +RUNTE R AH1 N T +RUNUP R AH1 N AH2 P +RUNUPS R AH1 N AH2 P S +RUNWAY R AH1 N W EY2 +RUNWAYS R AH1 N W EY2 Z +RUNYAN R AH1 N Y AH0 N +RUNYON R AH1 N Y AH0 N +RUNZHEIMER R AH1 N Z HH AY2 M ER0 +RUOCCO R UW0 OW1 K OW0 +RUOFF R UW1 AO0 F +RUOTOLO R UW0 OW0 T OW1 L OW0 +RUPARD R UW1 P ER0 D +RUPAUL R UW0 P AA1 L +RUPE R UW1 P +RUPEE R UW0 P IY1 +RUPEES R UW0 P IY1 Z +RUPEES(2) R UW1 P IY0 Z +RUPERT R UW1 P ER0 T +RUPERTA R UW0 P EH1 R T AH0 +RUPHY R UW1 F IY0 +RUPIAH R UW0 P AY1 AH0 +RUPLE R UW1 P AH0 L +RUPLEY R AH1 P L IY0 +RUPNOW R AH1 P N OW0 +RUPOSI R UW0 P OW1 S IY0 +RUPP R AH1 P +RUPPE R AH1 P +RUPPEL R AH1 P AH0 L +RUPPENTHAL R AH1 P IH0 N TH AH0 L +RUPPERT R AH1 P ER0 T +RUPPRECHT R UW1 P R EH2 K T +RUPRECHT R AH1 P R IH0 K T +RUPTURE R AH1 P CH ER0 +RUPTURED R AH1 P CH ER0 D +RUPTURES R AH1 P CH ER0 Z +RUPTURING R AH1 P CH ER0 IH0 NG +RURAL R UH1 R AH0 L +RURIK R UH1 R IH0 K +RURITANIA R UH2 R AH0 T EY1 N IY0 AH0 +RUS R AH1 S +RUSALKA R UW2 S AE1 L K AH0 +RUSCH R AH1 SH +RUSCHE R AH1 SH +RUSCITTI R UW0 S CH IY1 T IY0 +RUSCONI R UW0 S K OW1 N IY0 +RUSE R UW1 Z +RUSED R UW1 Z D +RUSELER R UW1 S IH0 L ER0 +RUSES R UW1 Z IH0 Z +RUSH R AH1 SH +RUSH'S R AH1 SH IH0 Z +RUSHDIE R AH1 SH D IY0 +RUSHDIE'S R AH1 SH D IY0 Z +RUSHED R AH1 SH T +RUSHER R AH1 SH ER0 +RUSHES R AH1 SH AH0 Z +RUSHES(2) R AH1 SH IH0 Z +RUSHFORD R AH1 SH F ER0 D +RUSHIN R AH1 SH IH0 N +RUSHING R AH1 SH IH0 NG +RUSHLOW R AH1 SH L OW2 +RUSHMORE R AH1 SH M AO0 R +RUSHTON R AH1 SH T AH0 N +RUSIN R UW1 S IH0 N +RUSINKO R UW2 S IH1 NG K OW0 +RUSK R AH1 S K +RUSK'S R AH1 S K S +RUSKIN R AH1 S K IH0 N +RUSLAN R AH1 S L AH0 N +RUSNAK R AH1 S N AH0 K +RUSNOCK R AH1 S N AH0 K +RUSS R AH1 S +RUSSA R UW1 S AH0 +RUSSAK R AH1 S AH0 K +RUSSE R AH1 S +RUSSEL R AH1 S AH0 L +RUSSEL'S R AH1 S AH0 L Z +RUSSELL R AH1 S AH0 L +RUSSELL'S R AH1 S AH0 L Z +RUSSELLVILLE R AH1 S AH0 L V IH2 L +RUSSERT R AH1 S ER0 T +RUSSET R AH1 S IH0 T +RUSSETS R AH1 S IH0 T S +RUSSETT R AH1 S IH0 T +RUSSEY R AH1 S IY0 +RUSSI R UW1 S IY0 +RUSSIA R AH1 SH AH0 +RUSSIA'S R AH1 SH AH0 Z +RUSSIAN R AH1 SH AH0 N +RUSSIAN'S R AH1 SH AH0 N Z +RUSSIANS R AH1 SH AH0 N Z +RUSSIANS' R AH1 SH AH0 N Z +RUSSIFICATION R AH2 S AH0 F AH0 K EY1 SH AH0 N +RUSSIFICATION(2) R UW2 S AH0 F AH0 K EY1 SH AH0 N +RUSSIFIED R AH1 S AH0 F AY0 D +RUSSIN R AH1 S IH0 N +RUSSLER R AH1 S L ER0 +RUSSMAN R AH1 S M AH0 N +RUSSO R UW1 S OW0 +RUSSOLILLO R UW2 S OW0 L IH1 L OW0 +RUSSOLILLO(2) R UW2 S OW0 L IY1 OW0 +RUSSOM R AH1 S AH0 M +RUSSOMANNO R AH1 S AH0 M IH0 N OW0 +RUSSOW R AH1 S OW0 +RUSSUM R AH1 S AH0 M +RUST R AH1 S T +RUST'S R AH1 S T S +RUSTAD R AH1 S T AH0 D +RUSTED R AH1 S T IH0 D +RUSTIC R AH1 S T IH0 K +RUSTIER R AH1 S T IY0 ER0 +RUSTIEST R AH1 S T IY0 AH0 S T +RUSTIGAN R AH1 S T IH0 G AH0 N +RUSTIN R AH1 S T IH0 N +RUSTING R AH1 S T IH0 NG +RUSTLE R AH1 S AH0 L +RUSTLER R AH1 S L ER0 +RUSTLERS R AH1 S AH0 L ER0 Z +RUSTLERS(2) R AH1 S L ER0 Z +RUSTLING R AH1 S L IH0 NG +RUSTON R AH1 S T AH0 N +RUSTPROOF R AH1 S T P R UW1 F +RUSTPROOFING R AH1 S T P R UW1 F IH0 NG +RUSTS R AH1 S T S +RUSTY R AH1 S T IY0 +RUSTY'S R AH1 S T IY0 Z +RUSTYS R AH1 S T IY0 Z +RUSZKOWSKI R AH0 SH K AO1 F S K IY0 +RUT R AH1 T +RUTA R UW1 T AH0 +RUTABAGA R UW1 T AH0 B EY0 G AH0 +RUTABAGAS R UW1 T AH0 B EY0 G AH0 Z +RUTAN R UW1 T AH0 N +RUTAN'S R UW1 T AH0 N Z +RUTER R UW1 T ER0 +RUTGARD R AH1 T G AA2 R D +RUTGER R AH1 T G ER0 +RUTGER'S R AH1 T G ER0 Z +RUTGERS R AH1 T G ER0 Z +RUTGERS' R AH1 T G ER0 Z +RUTH R UW1 TH +RUTH'S R UW1 TH S +RUTH-ANN R UW2 TH AE1 N +RUTH-ANNE R UW2 TH AE1 N +RUTHANN R UW2 TH AE1 N +RUTHENBERG R AH1 TH AH0 N B ER0 G +RUTHER R UW1 TH ER0 +RUTHERFORD R AH1 TH ER0 F ER0 D +RUTHIE R UW1 TH IY0 +RUTHLESS R UW1 TH L AH0 S +RUTHLESSLY R UW1 TH L AH0 S L IY0 +RUTHLESSNESS R UW1 TH L AH0 S N AH0 S +RUTHVEN R AH1 TH V AH0 N +RUTIGLIANO R UW0 T IY0 G L IY0 AA1 N OW0 +RUTILE R UW1 T IY0 L +RUTKOSKI R AH0 T K AW1 S K IY0 +RUTKOWSKI R AH0 T K AO1 F S K IY0 +RUTLAND R AH1 T L AH0 N D +RUTLEDGE R AH1 T L IH0 JH 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EH1 S +S.'S EH1 S IH0 Z +SA S AA1 +SAAB S AA1 B +SAAB'S S AA1 B Z +SAAD S AA1 D +SAAL S AA1 L +SAAM S AA1 M +SAAMSTAAN S AA1 M S T AA2 N +SAAR S AA1 R +SAARI S AA1 R IY0 +SAARINEN S AA1 R IH0 N AH0 N +SAARINEN(2) S AH0 R IY1 N AH0 N +SAAS S AA1 S +SAATCHI S AA1 CH IY0 +SAATCHI'S S AA1 CH IY0 Z +SAATHOFF S AA1 T HH AO2 F +SAAVEDRA S AA0 V EY1 D R AH0 +SAB'S S AE1 B Z +SABA S AA1 B AH0 +SABAH S AA1 B AH0 +SABALA S AA0 B AA1 L AH0 +SABALAN S AE1 B AH0 L AH0 N +SABAN S EY1 B AH0 N +SABAS S AA1 B AH0 Z +SABAT S AA1 B AA0 T +SABATINE S AA0 B AA0 T IY1 N IY0 +SABATINI S AE2 B AH0 T IY1 N IY0 +SABATINO S AA0 B AA0 T IY1 N OW0 +SABATISTA S AA2 B AH0 T IY1 S T AH0 +SABATISTA'S S AA2 B AH0 T IY1 S T AH0 Z +SABATISTAS S AA2 B AH0 T IY1 S T AH0 Z +SABATISTAS' S AA2 B AH0 T IY1 S T AH0 Z +SABATKA S AA0 B AA1 T K AH0 +SABATO S AA0 B AA1 T OW0 +SABAUDIA S AH0 B AO1 D IY0 AH0 +SABB S AE1 B +SABBAGH S AE1 B AH0 G +SABBATH S AE1 B AH0 TH +SABBATHS S AE1 B AH0 TH S +SABBATICAL S AH0 B AE1 T IH0 K AH0 L 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OW2 L D +SAFFORD S AE1 F ER0 D +SAFFRAN S AE1 F R AH0 N +SAFFRON S AE1 F R AH0 N +SAFIAN S EY1 F IY0 AH0 N +SAFIER S AH0 F IH1 R +SAFING S EY1 F IH0 NG +SAFIR S AE1 F ER0 +SAFIRE S AH0 F AY1 R +SAFIRE'S S AH0 F AY1 R Z +SAFKO S AA1 F K OW0 +SAFLEY S AE1 F L IY0 +SAFRA S AE1 F R AH0 +SAFRA'S S AE1 F R AH0 Z +SAFRAN S AE1 F R AH0 N +SAFRANEK S AE1 F R AH0 N IH0 K +SAFRIT S AE1 F R IH0 T +SAG S AE1 G +SAGA S AA1 G AH0 +SAGAN S EY1 G AH0 N +SAGANSKY S AH0 G AE1 N S K IY0 +SAGAR S AA0 G AA1 R +SAGAS S AA1 G AH0 Z +SAGE S EY1 JH +SAGE'S S EY1 JH AH0 Z +SAGEBRUSH S EY1 JH B R AH2 SH +SAGEN S AE1 G AH0 N +SAGER S EY1 G ER0 +SAGERS S EY1 G ER0 Z +SAGES S EY1 JH IH0 Z +SAGGED S AE1 G D +SAGGESE S AE1 G IY0 Z +SAGGING S AE1 G IH0 NG +SAGINAW S AE1 G IH0 N AO2 +SAGITTAL S AE1 JH AH0 T AH0 L +SAGO S EY1 G OW0 +SAGONA S AA0 G OW1 N AH0 +SAGRAVES S AA0 G R AA1 V EH0 S +SAGS S AE1 G Z +SAGUARO S AH0 G W AO1 R OW0 +SAGUENAY S AE1 G AH0 N EY0 +SAHA S AA1 HH AH0 +SAHAGIAN S AH0 HH IY1 JH IY0 AH0 N +SAHAGUN S AE1 HH AH0 G AH0 N +SAHARA S AH0 HH EH1 R AH0 +SAHARAN S AE1 HH ER0 AH0 N +SAHGAL S AA1 G AH0 L +SAHL S AA1 L +SAHLEN S AA1 L AH0 N +SAHLI S AA1 L IY0 +SAHLIN S AA1 L IH0 N +SAHLMAN S AA1 L M AH0 N +SAHM S AE1 M +SAHR S AE1 R +SAI S AY1 +SAI(2) EH1 S EY1 AY1 +SAIA S AA1 Y AH0 +SAID S EH1 D +SAIDAN S EY1 D AH0 N +SAIDINER S EY1 D IH0 N ER0 +SAIF S AA2 IY1 F +SAIF(2) S AY1 F +SAIGON S AY2 G AA1 N +SAIKI S EY1 K IY0 +SAIL S EY1 L +SAILBOAT S EY1 L B OW2 T +SAILBOATS S EY1 L B OW2 T S +SAILED S EY1 L D +SAILER S EY1 L ER0 +SAILFISH S EY1 L F IH2 SH +SAILING S EY1 L IH0 NG +SAILOR S EY1 L ER0 +SAILOR'S S EY1 L ER0 Z +SAILORS S EY1 L ER0 Z +SAILORS' S EY1 L ER0 Z +SAILS S EY1 L Z +SAIN S EY1 N +SAINATO S AH0 N AA1 T OW0 +SAINDON S EY1 N D AH0 N +SAINE S EY1 N +SAINSBURY S EY1 N S B EH0 R IY0 +SAINT S EY1 N T +SAINT'S S EY1 N T S +SAINT-SAENS S EY1 N T S AA1 N Z +SAINTED S EY1 N T IH0 D +SAINTHOOD S EY1 N T HH UH2 D +SAINTLY S EY1 N T L IY0 +SAINTS S EY1 N T S +SAINTS' S EY1 N T S +SAINZ S EY1 N Z +SAIPAN S EY1 P AH0 N +SAIPAN'S S EY1 P AH0 N Z +SAIS S EY1 Z +SAISON S EY1 S AA0 N +SAITAMA S AA2 IH0 T AA1 M AH0 +SAITO S EY1 T OW2 +SAITTA S EY1 T AH0 +SAIZ S EY1 Z +SAJAK S AE1 JH AE0 K +SAJDAK S AY1 D AH0 K +SAK S AE1 K +SAKAGUCHI S AA0 K AA0 G UW1 CH IY0 +SAKAI S AA0 K AA1 IY0 +SAKAL S EY1 K AH0 L +SAKAMOTO S AA0 K AA0 M OW1 T OW0 +SAKAROV S AA0 K AA1 R AO2 V +SAKATA S AA0 K AA1 T AH0 +SAKAU S AA0 K AA1 UW0 +SAKE S EY1 K +SAKE'S S EY1 K S +SAKER S EY1 K ER0 +SAKES S EY1 K S +SAKHALIN S AE1 K AH0 L IH0 N +SAKHALINSK S AE2 K AH0 L IH1 N S K +SAKHAROV S AA1 K ER0 AA0 V +SAKI S AA1 K IY0 +SAKIGAKE S AA2 K IY0 G AA1 K IY0 +SAKINA S AH0 K IY1 N AH0 +SAKO S AA1 K OW0 +SAKOWITZ S AE1 K AH0 W IH0 T S +SAKOWSKI S AH0 K AO1 F S K IY2 +SAKS S AE1 K S +SAKS'S S AE1 K S IH0 Z +SAKSA S AE1 K S AH0 +SAKSIDA S AA2 K S IY1 D AA2 +SAKUMA S AA2 K UW1 M AA2 +SAKURA S AE0 K UH1 R AA2 +SAKURAI S AA0 K UH0 R AA1 IY0 +SAL S AE1 L +SAL'S S AE1 L Z +SALA S AA1 L AH0 +SALAAM S AH0 L AA1 M 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S EY1 L Y AH0 N T +SALIF S AH0 L IY1 F +SALIGMAN S AE1 L IH0 G M AH0 N +SALIM S AE1 L IH0 M +SALIM(2) S AA0 L IY0 M +SALIN S AA0 L IY1 N +SALINA S AH0 L IY1 N AH0 +SALINAS S AH0 L IY1 N AH0 S +SALINAS(2) S AH0 L IY1 N AH0 Z +SALINAS' S AH0 L IY1 N AH0 S +SALINAS'(2) S AH0 L IY1 N AH0 Z +SALINAS'S S AH0 L IY1 N AH0 S IH0 Z +SALINE S AH0 L IY1 N +SALING S EY1 L IH0 NG +SALINGER S AE1 L IH0 N JH ER0 +SALINGER'S S AE1 L IH0 N JH ER0 Z +SALINGERS S AE1 L IH0 N JH ER0 Z +SALINITY S AH0 L IH1 N AH0 T IY2 +SALIS S AA1 L IH0 S +SALISBURY S AE1 L Z B ER0 IY0 +SALIVA S AH0 L AY1 V AH0 +SALIVATE S AE1 L AH0 V EY2 T +SALIVATED S AE1 L AH0 V EY2 T IH0 D +SALIVATING S AE1 L AH0 V EY2 T IH0 NG +SALIZZONI S AE2 L IH0 Z OW1 N IY0 +SALK S AO1 K +SALK'S S AO1 K S +SALKELD S AE1 L K IH0 L D +SALKIN S AE1 L K IH0 N +SALL S AO1 L +SALLADE S AE1 L EY2 D +SALLAS S AA1 L AA0 Z +SALLE S EY1 L +SALLEE S AE1 L IY0 +SALLEH S AA1 L EH0 +SALLER S AO1 L ER0 +SALLES S AA1 L EH0 S +SALLEY S AE1 L IY0 +SALLIE S AE1 L IY0 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AH0 N +SAMOJLIK S AH0 M OY1 L IH0 K +SAMONS S AA1 M OW0 N Z +SAMORA S AA0 M AO1 R AH0 +SAMOS S EY1 M AA0 S +SAMOTH S AE1 M AH0 TH +SAMP S AE1 M P +SAMPAN S AE1 M P AE0 N +SAMPANS S AE1 M P AE0 N Z +SAMPER S AE1 M P ER0 +SAMPER'S S AE1 M P ER0 Z +SAMPERE S AE0 M P IY1 R +SAMPEY S AE1 M P IY0 +SAMPLE S AE1 M P AH0 L +SAMPLE'S S AE1 M P AH0 L Z +SAMPLED S AE1 M P AH0 L D +SAMPLER S AE1 M P L ER0 +SAMPLERS S AE1 M P L ER0 Z +SAMPLES S AE1 M P AH0 L Z +SAMPLEY S AE1 M P L IY0 +SAMPLING S AE1 M P L IH0 NG +SAMPLINGS S AE1 M P L IH0 NG Z +SAMPRAS S AE1 M P R AH0 S +SAMPRAS' S AE1 M P R AH0 S +SAMPRAS'S S AE1 M P R AH0 S IH0 Z +SAMPRE S AE1 M P R IY0 +SAMPRE(2) S AE1 M P ER0 +SAMPSEL S AE1 M P S AH0 L +SAMPSELL S AE1 M P S AH0 L +SAMPSON S AE1 M P S AH0 N +SAMRA S AE1 M R AH0 +SAMS S AE1 M Z +SAMSARA S AH0 M S AA1 R AH0 +SAMSEL S AE1 M S AH0 L +SAMSOM S AE1 M S AH0 M +SAMSON S AE1 M S AH0 N +SAMSONITE S AE1 M S AH0 N AY2 T +SAMSUNG S AE1 M S AH2 NG +SAMSUNG'S S AE1 M S AH2 NG Z +SAMUDIO S AA0 M UW1 D IY0 OW0 +SAMUEL S AE1 M Y UW0 L +SAMUEL'S S AE1 M Y UW0 L Z +SAMUELA S AE2 M Y UW0 EH1 L AH0 +SAMUELLE S AE1 M Y UW0 EH2 L +SAMUELS S AE1 M Y UW0 AH0 L Z +SAMUELSEN S AE1 M UH0 L S AH0 N +SAMUELSON S AE1 M Y UW0 AH0 L S AH0 N +SAMURAI S AE1 M UH0 R AY2 +SAMURAI(2) S AE1 M ER0 AY2 +SAMURAI'S S AE1 M ER0 AY2 Z +SAMURAIS S AE1 M ER0 AY2 Z +SAMURAIS(2) S AE1 M ER0 IH0 Z +SAN S AE1 N +SAN-ANDREAS S AE2 N AA0 N D R EY1 AH0 S +SAN-DIEGO S AE1 N D IY0 EY1 G OW0 +SAN-FRAN S AE1 N F R AE1 N +SAN-FRANCISCO S AE1 N F R AE0 N S IH1 S K OW0 +SAN-JOSE S AE2 N HH OW0 Z EY1 +SAN-JUAN S AE1 N W AA1 N +SAN-SALVADOR S AE1 N S AE1 L V AH0 D AO2 R +SANA S AA1 N AH0 +SANAA S AH0 N AA1 +SANABRIA S AH0 N AE1 B R IY0 AH0 +SANADA S AA0 N AA1 D AH0 +SANBORN S AE1 N B AO2 R N +SANCHES S AA1 N CH EH0 S +SANCHEZ S AE1 N CH EH0 Z +SANCHEZ'S S AE1 N CH EH0 Z IH0 Z +SANCHO S AA1 N K OW0 +SANCIA S AA1 N CH AH0 +SANCTIFICATION S AE2 NG K T AH0 F AH0 K EY1 SH AH0 N +SANCTIFY S AE1 NG K T AH0 F AY0 +SANCTIMONIOUS S AE2 NG K T AH0 M OW1 N IY0 AH0 S +SANCTIMONY S AE1 NG K T IH0 M OW2 N IY0 +SANCTION S AE1 NG K SH AH0 N +SANCTION'S S AE1 NG K SH AH0 N Z +SANCTIONED S AE1 NG K SH AH0 N D +SANCTIONING S AE1 NG K SH AH0 N IH0 NG +SANCTIONS S AE1 NG K SH AH0 N Z +SANCTIONS' S AE1 NG K SH AH0 N Z +SANCTITY S AE1 NG K T IH0 T IY0 +SANCTUARIES S AE1 NG K CH UW0 EH2 R IY0 Z +SANCTUARY S AE1 NG K CH UW0 EH2 R IY0 +SANCTUM S AE1 NG K T AH0 M +SAND S AE1 N D +SAND'S S AE1 N D Z +SANDA S AE1 N D AH0 +SANDAGE S AE1 N D IH0 JH +SANDAHL S AE1 N D AA2 L +SANDAL S AE1 N D AH0 L +SANDALL S AE1 N D AA0 L +SANDALO S AE2 N D AE1 L OW0 +SANDALS S AE1 N D AH0 L Z +SANDAU S AE1 N D AW0 +SANDBAG S AE1 N D B AE2 G +SANDBAGGED S AE1 N D B AE2 G D +SANDBAGGER S AE1 N D B AE2 G ER0 +SANDBAGGERS S AE1 N D B AE2 G ER0 Z +SANDBAGGING S AE1 N D B AE2 G IH0 NG +SANDBAGS S AE1 N D B AE2 G Z +SANDBAR S AE1 N D B AA2 R +SANDBERG S AE1 N D B ER0 G +SANDBLAST S AE1 N D B L AE2 S T +SANDBLASTED S AE1 N D B L AE2 S T IH0 D +SANDBOX S AE1 N D B AA2 K S +SANDBURG S AE1 N D B ER0 G +SANDE S AE1 N D +SANDED S AE1 N D IH0 D +SANDEEN S AE1 N D IY0 N +SANDEFER S AE1 N D IY0 F ER0 +SANDEFUR S AE1 N D EH0 F ER0 +SANDEL S AE1 N D EH0 L +SANDELL S AE1 N D EH0 L +SANDEN S AE1 N D AH0 N +SANDER S AE1 N D ER0 +SANDERFER S AE1 N D ER0 F ER0 +SANDERFORD S AE1 N D ER0 F AO0 R D +SANDERLIN S AE1 N D ER0 L IH0 N +SANDERS S AE1 N D ER0 Z +SANDERS'S S AE1 N D ER0 Z IH0 Z +SANDERSON S AE1 N D ER0 S AH0 N +SANDFORD S AE1 N D F ER0 D +SANDGREN S AE1 N D G R EH0 N +SANDHILL S AE1 N D HH IH2 L +SANDHOG S AE1 N D HH AO2 G +SANDHOGS S AE1 N D HH AO2 G Z +SANDHU S AE1 N D HH UW0 +SANDI S AE1 N D IY0 +SANDIA S AE1 N D IY0 AH0 +SANDIDGE S AE1 N D IH0 JH +SANDIE S AE1 N D IY0 +SANDIFER S AE1 N D AY0 F ER0 +SANDIFORD S AE1 N D IH0 F ER0 D +SANDIN S AE1 N D IH2 N +SANDING S AE1 N D IH0 NG +SANDINISTA S AE2 N D IH0 N IH1 S T AH0 +SANDINISTA(2) S AE2 N D IH0 N IY1 S T AH0 +SANDINISTAS S AE2 N D IH0 N IY1 S T AH0 Z +SANDINISTAS' S AE2 N D IH0 N IY1 S T AH0 Z +SANDINO S AE0 N D IY1 N OW0 +SANDINO'S S AE0 N D IY1 N OW0 Z +SANDLER S AE1 N D L ER0 +SANDLIN S AE1 N D L IH0 N +SANDLING S AE1 D L IH0 NG +SANDMAN S AE1 N D M AE2 N +SANDMANN S AE1 N D M AH0 N +SANDMEYER S AE1 N D M AY0 ER0 +SANDNER S AE1 N D N ER0 +SANDNESS S AE1 N D N AH0 S +SANDO S AE1 N D OW0 +SANDOM S AE1 N D AH0 M +SANDON S AE1 N D AO2 N +SANDOR S AE1 N D ER0 +SANDOS S AE1 N D OW0 Z +SANDOS(2) S AE1 N D OW0 S +SANDOSE S AE1 N D OW0 Z +SANDOVAL S AE1 N D OW2 V AH0 L +SANDOW S AE1 N D OW0 +SANDOZ S AE1 N D OW0 Z +SANDOZ'S S AE1 N D AH0 Z IH0 Z +SANDPAPER S AE1 N D P EY2 P ER0 +SANDPOINT S AE1 N D P OY2 N T +SANDQUIST S AE1 N D K W IH2 S T +SANDRA S AE1 N D R AH0 +SANDRIDGE S AE1 N D R IH2 JH +SANDRO S AE1 N D R OW0 +SANDROCK S AE1 N D R AA2 K +SANDS S AE1 N D Z +SANDSTONE S AE1 N D S T OW2 N +SANDSTONE(2) S AE1 N S T OW2 N +SANDSTORM S AE1 N D S T AO2 R M +SANDSTORMS S AE1 N D S T AO2 R M Z +SANDSTROM S AE1 N D S T R AH0 M +SANDT S AE1 N T +SANDTOWN S AE1 N D T AW2 N +SANDTOWN(2) S AE1 N T AW2 N +SANDUSKY S AE0 N D AH1 S K IY0 +SANDVIG S AE1 N D V IH2 G +SANDVIK S AE1 N D V IH0 K +SANDWICH S AE1 N D W IH0 CH +SANDWICH(2) S AE1 N W IH0 CH +SANDWICH(3) S AE1 M W IH0 CH +SANDWICHED S AE1 N D W IH2 CH T +SANDWICHED(2) S AE1 N W IH2 CH T +SANDWICHED(3) S AE1 M W IH2 CH T +SANDWICHES S AE1 N D W IH0 CH IH0 Z +SANDWICHES(2) S AE1 N W IH0 CH IH0 Z +SANDWICHES(3) S AE1 M W IH0 CH IH0 Z +SANDWICK S AE1 N D W IH2 K +SANDY S AE1 N D IY0 +SANDY'S S AE1 N D IY0 Z +SANE S EY1 N +SANER S EY1 N ER0 +SANFILIPPO S AE2 N F IH0 L IH1 P OW0 +SANFORD S AE1 N F ER0 D +SANFORD'S S AE1 N F ER0 D Z +SANG S AE1 NG +SANG-GON S AA1 NG G AO1 N +SANGER S AE1 NG ER0 +SANGFROID S AA2 N F R AW1 +SANGIOVESE S AE2 N JH IY1 OW0 V IY2 S +SANGSTER S AE1 NG S T ER0 +SANGUINE S AE1 NG G W IH0 N +SANGUINETTI S AA0 NG IY0 N EH1 T IY0 +SANGYO S AE1 N JH Y OW0 +SANHEDRIN S AE2 N HH IY1 D R IH0 N +SANI S AE1 N IY0 +SANI(2) S AE1 N IH0 +SANITARY S AE1 N IH0 T EH2 R IY0 +SANITATION S AE2 N AH0 T 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T +SAUERS S AW1 ER0 Z +SAUERTEIG S AW1 ER0 T EY2 G +SAUERWEIN S AW1 ER0 W AY0 N +SAUEY S AO1 IY0 +SAUGERTIES S AO1 G ER0 T IY0 Z +SAUK S AO1 K +SAUL S AO1 L +SAULNIER S AW1 L N IY0 ER0 +SAULS S AO1 L Z +SAULSBERRY S AO1 L S B EH2 R IY0 +SAULSBURY S AO1 L S B EH0 R IY0 +SAULT S AO1 L T +SAULTER S AO1 L T ER0 +SAULTERS S AW1 L T ER0 Z +SAUM S AO1 M +SAUNA S AO1 N AH0 +SAUNAS S AO1 N AH0 Z +SAUNDERS S AO1 N D ER0 Z +SAUNDERS' S AO1 N D ER0 Z +SAUNDERS'S S AO1 N D ER0 Z IH0 Z +SAUNDERSON S AO1 N D ER0 S AH0 N +SAUNDRA S AO1 N D R AH0 +SAUNDRA'S S AO1 N D R AH0 Z +SAUNIER S AO1 N IY0 ER0 +SAUNTER S AO1 N T ER0 +SAUR S AO1 R +SAURER S AW1 ER0 R +SAURO S AO1 R OW0 +SAUS S AO1 Z +SAUSAGE S AO1 S AH0 JH +SAUSAGE(2) S AO1 S IH0 JH +SAUSAGES S AO1 S IH0 JH IH0 Z +SAUSALITO S AO2 S AH0 L IY1 T OW0 +SAUSE S AO1 Z +SAUSEDA S AW0 S EY1 D AH0 +SAUSER S AW1 S ER0 +SAUSSER S AO1 S ER0 +SAUTE S AO0 T EY1 +SAUTEED S AO0 T EY1 D +SAUTER S AO0 T EY1 ER0 +SAUTERNE S OW0 T ER1 N +SAUTERNES S OW0 T ER1 N Z +SAUTTER S AO1 T ER0 +SAUVAGE S AO1 V IH0 JH +SAUVAGEAU S OW1 V AH0 ZH OW0 +SAUVE S AO1 V +SAUVIGNON S AO2 V IH1 N Y AA0 N +SAVA S AA1 V AH0 +SAVAGE S AE1 V AH0 JH +SAVAGE(2) S AE1 V IH0 JH +SAVAGED S AE1 V IH0 JH D +SAVAGELY S AE1 V IH0 JH L IY0 +SAVAGERY S AE1 V IH0 JH EH2 R IY0 +SAVAGES S AE1 V AH0 JH AH0 Z +SAVAGES(2) S AE1 V IH0 JH IH0 Z +SAVAGING S AE1 V IH0 JH IH0 NG +SAVAIKO S AH0 V EY1 K OW0 +SAVALA S AA0 V AA1 L AH0 +SAVALAS S AH0 V AA1 L AH0 S +SAVANNA S AH0 V AE1 N AH0 +SAVANNAH S AH0 V AE1 N AH0 +SAVANNAS S AH0 V AE1 N AH0 Z +SAVANT S AH0 V AA1 N T +SAVANTS S AE1 V AH0 N T S +SAVARD S AE1 V ER0 D +SAVARESE S AA0 V AA0 R EY1 Z IY0 +SAVARINO S AA0 V AA0 R IY1 N OW0 +SAVARY S AE1 V EH0 R IY0 +SAVAS S AA1 V AA0 Z +SAVASTA S AH0 V AE1 S T AH0 +SAVASTANO S AA0 V AA0 S T AA1 N OW0 +SAVE S EY1 V +SAVE'S S EY1 V Z +SAVED S EY1 V D +SAVEDRA S AH0 V EH1 D R AH0 +SAVEL S AA0 V EH1 L +SAVELL S AA0 V EY1 L +SAVELY S EY1 V L IY0 +SAVER S EY1 V ER0 +SAVERS S EY1 V ER0 Z +SAVERY S EY1 V ER0 IY0 +SAVES S EY1 V Z +SAVIANO S AA0 V IY0 AA1 N OW0 +SAVICH S AE1 V IH0 CH +SAVICKAS S AE1 V IH0 K AH0 Z +SAVIDGE S AE1 V IH0 JH +SAVIER S EY1 V Y ER0 +SAVIKAS S AH0 V IY1 K AH0 S +SAVILL S AA0 V IY1 L +SAVILLE S AA1 V IH0 L +SAVIMBI S AH0 V IH1 M B IY0 +SAVIN S AE1 V IH0 N +SAVIN'S S AE1 V IH0 N Z +SAVINA S AH0 V IY1 N AH0 +SAVING S EY1 V IH0 NG +SAVINGS S EY1 V IH0 NG Z +SAVINGS' S EY1 V IH0 NG Z +SAVINGS'S S EY1 V IH0 NG Z +SAVINGS'S(2) S EY1 V IH0 NG Z IH0 Z +SAVINI S AA0 V IY1 N IY0 +SAVINO S AA0 V IY1 N OW0 +SAVIO S AA1 V IY0 OW0 +SAVION S AE1 V IY0 AO0 N +SAVION(2) S AE1 V Y AO0 N +SAVIOR S EY1 V Y ER0 +SAVIOR'S S EY1 V Y ER0 Z +SAVIORS S EY1 V Y ER0 Z +SAVIR S EY1 V ER0 +SAVIR(2) S AH0 V IY1 R +SAVITCH S AE1 V IH0 CH +SAVITSKY S AH0 V IH1 T S K IY0 +SAVITT S AH0 V IH1 T +SAVITZ S AE1 V IH0 T S +SAVKO S AE1 V K OW0 +SAVO S AA1 V OW0 +SAVOCA S AA0 V OW1 K AH0 +SAVOIA S AA0 V OW1 Y AH0 +SAVOIE S AA1 V W AA0 +SAVON S EY1 V AO0 N +SAVONA S AA0 V OW1 N AH0 +SAVOR S EY1 V ER0 +SAVORED S EY1 V ER0 D +SAVORING S EY1 V ER0 IH0 NG +SAVORS S EY1 V ER0 Z +SAVORY S EY1 V ER0 IY0 +SAVOY S AH0 V OY1 +SAVR S EY1 V ER0 +SAVVIEST S AE1 V IY0 IH0 S T +SAVVY S AE1 V IY0 +SAW S AO1 +SAWA S AO1 W AH0 +SAWALL S AO1 W AO0 L +SAWASDEE S AH0 W AA1 Z D IY0 +SAWATZKY S AH0 W AA1 T S K IY0 +SAWAYA S AO0 W AA1 Y AH0 +SAWCHUK S AO1 CH AH0 K +SAWDEY S AO1 D IY0 +SAWDON S AO1 D AH0 N +SAWDUST S AO1 D AH2 S T +SAWDY S AO1 D IY0 +SAWED S AO1 D +SAWHILL S AO1 HH IH2 L +SAWICKI S AO0 IH1 T S K IY0 +SAWICZ S AW1 IH0 T S +SAWIN S AO1 IY0 N +SAWING S AO1 IH0 NG +SAWKA S AO1 K AH0 +SAWMILL S AO1 M IH2 L +SAWMILLS S AO1 M IH2 L Z +SAWS S AO1 Z +SAWSHANK S AO1 SH AE2 N K +SAWTELL S AO1 T EH2 L +SAWTELLE S AO2 T EH1 L +SAWYER S AO1 Y ER0 +SAWYER(2) S OY1 ER0 +SAWYER'S S AO1 Y ER0 Z +SAWYERS S AO1 Y ER0 Z +SAX S AE1 K S +SAXBY S AE1 K S B IY0 +SAXE S AE1 K S +SAXENA S AE1 K S IH0 N AH0 +SAXER S AE1 K S ER0 +SAXMAN S AE1 K S M AH0 N +SAXON S AE1 K S AH0 N +SAXON'S S AE1 K S AH0 N Z +SAXONA S AE1 K S AH0 N AH0 +SAXONS S AE1 K S AH0 N Z +SAXONY S AE1 K S AH0 N IY0 +SAXOPHONE S AE1 K S AH0 F OW2 N +SAXOPHONES S AE1 K S AH0 F OW2 N Z +SAXOPHONIST S AE1 K S AH0 F OW2 N IH0 S T +SAXTON S AE1 K S T AH0 N +SAY S EY1 +SAYAD S AY1 AE0 D +SAYAD'S S AY1 AE0 D Z +SAYBROOK S EY1 B R UH2 K +SAYE S EY1 +SAYED S AA2 Y EH1 D +SAYED(2) S EY2 Y IH1 D +SAYED(3) S EY1 D +SAYEGH S EY1 IH0 G +SAYER S EY1 ER0 +SAYERS S EY1 ER0 Z +SAYIID S AY1 IH0 D +SAYIID(2) S AY0 IY1 D +SAYIN' S EY1 IH0 N +SAYING S EY1 IH0 NG +SAYINGS S EY1 IH0 NG Z +SAYITO S AY0 IY1 T OW0 +SAYLE S EY1 L +SAYLER S EY1 L ER0 +SAYLES S EY1 L Z +SAYLOR S EY1 L ER0 +SAYLORS S EY1 L ER0 Z +SAYRE S EH1 R +SAYRES S EH1 R Z +SAYS S EH1 Z +SAYS(2) S IH1 Z +SAYYID S AY1 IH0 D +SAZAMA S AA0 Z AA1 M AH0 +SBA EH2 S B IY2 EY1 +SBARRO S B AA1 R OW0 +SBF EH2 S B IY2 EH1 F +SCAB S K AE1 B +SCABBARD S K AE1 B ER0 D +SCABS S K AE1 B Z +SCACCIA S K AA1 CH AH0 +SCAD S K AE1 D +SCADDEN S K AE1 D AH0 N +SCADS S K AE1 D Z +SCADUTO S K AA0 D UW1 T OW0 +SCAFF S K AE1 F +SCAFFIDI S K AA0 F IY1 D IY0 +SCAFFOLD S K AE1 F AH0 L D +SCAFFOLDING S K AE1 F AH0 L D IH0 NG +SCAFFOLDS S K AE1 F AH0 L D Z +SCAFIDI S K AA0 F IY1 D IY0 +SCAGGS S K AE1 G Z +SCAGLIONE S K AE2 G L IY0 OW1 N IY0 +SCAGS S K AE1 G Z +SCAHILL S K EY1 HH IH2 L +SCAIFE S K EY1 F +SCALA S K AA1 L AH0 +SCALABILITY S K EY1 L AH0 B IH1 L IH0 T IY0 +SCALABLE S K EY1 L AH0 B AH0 L +SCALAMANDRE S K AA1 L AH0 M AA2 N D ER0 +SCALAMANDRE(2) S K AE1 L AH0 M AE2 N D ER0 +SCALAR S K EY1 L ER0 +SCALD S K AO1 L D +SCALDED S K AO1 L D IH0 D +SCALDING S K AO1 L D IH0 NG +SCALDS S K AO1 L D Z +SCALE S K EY1 L +SCALEATRON S K EY1 L IY0 AH0 T R AA0 N +SCALED S K EY1 L D +SCALERA S K AA0 L EH1 R AH0 +SCALES S K EY1 L Z +SCALESE S K AA0 L EY1 Z IY0 +SCALF S K AE1 L F +SCALFARO S K AE2 L F AA1 R OW0 +SCALI S K AA1 L IY0 +SCALI(2) S K EY1 L IY0 +SCALIA S K AA1 L IY0 AH0 +SCALIA(2) S K AA1 L Y AH0 +SCALIA'S S K AA1 L IY0 AH0 Z +SCALIA'S(2) S K AA1 L Y AH0 Z +SCALING S K EY1 L IH0 NG +SCALISE S K AA1 L AY0 Z +SCALISI S K AA0 L IY1 S IY0 +SCALLAN S K AE1 L AH0 N +SCALLION S K AE1 L Y AH0 N +SCALLIONS S K AE1 L Y AH0 N Z +SCALLON S K AE1 L AH0 N +SCALLOP S K AE1 L AH0 P +SCALLOPED S K AA1 L AH0 P T +SCALLOPS S K AE1 L AH0 P S +SCALLY S K AE1 L IY0 +SCALP S K AE1 L P +SCALPED S K AE1 L P T +SCALPEL S K AE1 L P AH0 L +SCALPELS S K AE1 L P AH0 L Z +SCALPER S K AE1 L P ER0 +SCALPERS S K AE1 L P ER0 Z +SCALPING S K AE1 L P IH0 NG +SCALPS S K AE1 L P S +SCALZI S K AA1 L Z IY0 +SCALZITTI S K AA0 L Z IY1 T IY0 +SCALZO S K AA1 L Z OW0 +SCAM S K AE1 M +SCAMMED S K AE1 M D +SCAMMELL S K AE1 M AH0 L +SCAMMER S K AE1 M ER0 +SCAMMERS S K AE1 M ER0 Z +SCAMMON S K AE1 M AH0 N +SCAMPER S K AE1 M P ER0 +SCAMPERED S K AE1 M P ER0 D +SCAMPERING S K AE1 M P ER0 IH0 NG +SCAMS S K AE1 M Z +SCAN S K AE1 N +SCANDAL S K AE1 N D AH0 L +SCANDAL'S S K AE1 N D AH0 L Z +SCANDALIZE S K AE1 N D AH0 L AY2 Z +SCANDALIZED S K AE1 N D AH0 L AY2 Z D +SCANDALOUS S K AE1 N D AH0 L AH0 S +SCANDALS S K AE1 N D AH0 L Z +SCANDIA S K AE1 N D IY0 AH0 +SCANDINAVIA S K AE2 N D IH0 N EY1 V IY0 AH0 +SCANDINAVIA'S S K AE2 N D IH0 N EY1 V IY0 AH0 Z +SCANDINAVIAN S K AE2 N D IH0 N EY1 V IY0 AH0 N +SCANDINAVIANS S K AE2 N D IH0 N EY1 V IY0 AH0 N Z +SCANIA S K AA1 N IY0 AH0 +SCANLAN S K AE1 N L AH0 N +SCANLAND S K AE1 N L AH0 N D +SCANLIN S K AE1 N L IH0 N +SCANLON S K AE1 N L AH0 N +SCANLON'S S K AE1 N L AH0 N Z +SCANNED S K AE1 N D +SCANNELL S K AE1 N AH0 L +SCANNER S K AE1 N ER0 +SCANNERS S K AE1 N ER0 Z +SCANNING S K AE1 N IH0 NG +SCANS S K AE1 N Z +SCANT S K AE1 N T +SCANTILY S K AE1 N T AH0 L IY0 +SCANTINESS S K AE1 N T IY0 N AH0 S +SCANTLIN S K AE1 N T L IH0 N +SCANTY S K AE1 N T IY0 +SCAPA S K AA1 P AH0 +SCAPE S K EY1 P +SCAPEGOAT S K EY1 P G OW2 T +SCAPEGOATED S K EY1 P G OW2 T IH0 D +SCAPEGOATING S K EY1 P G OW2 T IH0 NG +SCAPEGOATS S K EY1 P G OW2 T S +SCAPULA S K AE1 P Y AH0 L AH0 +SCAR S K AA1 R +SCARAMOUCH S K AE1 R AH0 M AW2 CH +SCARANO S K AA0 R AA1 N OW0 +SCARBERRY S K AA1 R B EH2 R IY0 +SCARBOROUGH S K AA1 R B ER2 OW0 +SCARBRO S K AA1 R B R OW0 +SCARBROUGH S K AA1 R B R AW0 +SCARCE S K EH1 R S +SCARCELLA S K AA2 R S EH1 L AH0 +SCARCELY S K EH1 R S L IY0 +SCARCER S K EH1 R S ER0 +SCARCITY S K EH1 R S IH0 T IY0 +SCARDINA S K AA0 R D IY1 N AH0 +SCARDINO S K AA0 R D IY1 N OW0 +SCARE S K EH1 R +SCARECROW S K AE1 R K R OW2 +SCARECROW'S S K AE1 R K R OW2 Z +SCARECROWS S K AE1 R K R OW2 Z +SCARED S K EH1 R D +SCARES S K EH1 R Z +SCARF S K AA1 R F +SCARFACE S K AA1 R F EY2 S +SCARFF S K AA1 R F +SCARFO S K AA1 R F OW0 +SCARFS S K AA1 R F S +SCARGILL S K AA1 R G IH2 L +SCARIER S K EH1 R IY0 ER0 +SCARIEST S K EH1 R IY0 AH0 S T +SCARING S K EH1 R IH0 NG +SCARLATA S K AA0 R L AA1 T AH0 +SCARLET S K AA1 R L AH0 T +SCARLETT S K AA1 R L IH0 T +SCAROLA S K AA0 R OW1 L AH0 +SCARP S K AA1 R P +SCARPA S K AA1 R P AH0 +SCARPATI S K AA0 R P AA1 T IY0 +SCARPELLI S K AA0 R P EH1 L IY0 +SCARPELLO S K AA2 R P EH1 L OW0 +SCARPINATTO S K AA2 R P IH0 N AA1 T OW0 +SCARPINO S K AA0 R P IY1 N OW0 +SCARPONE S K AA0 R P OW1 N IY0 +SCARPULLA S K AA2 R P UH1 L AH0 +SCARRED S K AA1 R D +SCARRING S K AA1 R IH0 NG +SCARRY S K AE1 R IY0 +SCARS S K AA1 R Z +SCARSDALE S K AA1 R Z D EY2 L +SCARSELLA S K AA2 R S EH1 L AH0 +SCARVES S K AA1 R V Z +SCARY S K EH1 R IY0 +SCAT S K AE1 T +SCATENA S K AA0 T EH1 N AH0 +SCATES S K EY1 T S +SCATHING S K EY1 DH IH0 NG +SCATOLOGICAL S K AE0 T AH0 L AO1 JH AH0 K AH0 L +SCATOLOGY S K AE0 T AO1 L AH0 JH IY0 +SCATTER S K AE1 T ER0 +SCATTERED S K AE1 T ER0 D +SCATTERGOOD S K AE1 T ER0 G UH2 D +SCATTERGORIES S K AE1 T ER0 G AO2 R IY0 Z +SCATTERGORY S K AE1 T ER0 G AO2 R IY0 +SCATTERING S K AE1 T ER0 IH0 NG +SCATTERSHOT S K AE1 T ER0 SH AA2 T +SCATURRO S K AA0 T UH1 R OW0 +SCAVENGE S K AE1 V AH0 N JH +SCAVENGER S K AE1 V AH0 N JH ER0 +SCAVENGERS S K AE1 V AH0 N JH ER0 Z +SCAVENGING S K AE1 V AH0 N JH IH0 NG +SCAVO S K AA1 V OW0 +SCAVONE S K AH0 V OW1 N +SCAVUZZO S K AA0 V UW1 Z OW0 +SCEARCE S ER1 S +SCENARIO S IH0 N EH1 R IY0 OW0 +SCENARIOS S IH0 N EH1 R IY0 OW0 Z +SCENE S IY1 N +SCENERIES S IY1 N ER0 IY0 Z +SCENERY S IY1 N ER0 IY0 +SCENES S IY1 N Z +SCENIC S IY1 N IH0 K +SCENT S EH1 N T +SCENTED S EH1 N T IH0 D +SCENTS S EH1 N T S +SCEPTIC S K EH1 P T IH0 K +SCEPTICS S K EH1 P T IH0 K S +SCEPTRE S EH1 P T ER0 +SCEPTRE(2) S K EH1 P T ER0 +SCERBO S K EH1 R B OW0 +SCERZUSKY S ER0 Z UW1 S K IY0 +SCHAAB SH AA1 B +SCHAACK SH AA1 K +SCHAAD SH AA1 D +SCHAADT SH AA1 T +SCHAAF SH AA1 F +SCHAAFSMA SH AA1 F S M AH0 +SCHAAL SH AA1 L +SCHAAP SH AA1 P +SCHAAR SH AA1 R +SCHAB SH AE1 B +SCHABACKER SH AA1 B AE2 K ER0 +SCHABEL SH AE1 B AH0 L +SCHABEN SH AE1 B AH0 N +SCHABER SH EY1 B ER0 +SCHABERG SH AA1 B ER0 G +SCHABES SH EY1 B Z +SCHACHER SH AE1 K ER0 +SCHACHNER SH AE1 K N ER0 +SCHACHT SH AE1 K T +SCHACHTER SH AE1 K T ER0 +SCHACK SH AE1 K +SCHAD SH AE1 D +SCHADE SH EY1 D +SCHADEL SH AE1 D AH0 L +SCHADEN SH AE1 D AH0 N +SCHADENFREUDE SH AE1 D IH0 N F R OY2 D +SCHADER SH EY1 D ER0 +SCHADLER SH EY1 D AH0 L ER0 +SCHADLER(2) SH EY1 D L ER0 +SCHADT SH AE1 T +SCHAECHER SH EH1 K ER0 +SCHAEDEL SH EH1 D AH0 L +SCHAEDLER SH EH1 D AH0 L ER0 +SCHAEDLER(2) SH EH1 D L ER0 +SCHAEFER SH EY1 F ER0 +SCHAEFERS SH EY1 F ER0 Z +SCHAEFFER SH EH1 F ER0 +SCHAEFFLER SH AE1 F L ER0 +SCHAER SH AA1 ER0 +SCHAFER SH EY1 F ER0 +SCHAFF SH AE1 F +SCHAFFER SH EY1 F ER0 +SCHAFFERT SH AE1 F ER0 T +SCHAFFLER SH AE1 F L ER0 +SCHAFFNER SH AE1 F N ER0 +SCHAIBLE S K EY1 B AH0 L +SCHAIRER SH AY1 ER0 R +SCHAJA SH AA1 JH AH0 +SCHAKE SH EY1 K +SCHALK SH AO1 K +SCHALL SH AO1 L +SCHALLER SH AO1 L ER0 +SCHALLOCK SH AE1 L AH0 K +SCHALOW SH AE1 L OW0 +SCHAMA SH AA1 M AH0 +SCHAMBER SH AE1 M B ER0 +SCHAMBERGER SH AE1 M B ER0 G ER0 +SCHAMEL SH AE1 M AH0 L +SCHAMP SH AE1 M P +SCHANBACHER SH AE1 N B AA2 K ER0 +SCHANCK SH AE1 NG K +SCHANER SH EY1 N ER0 +SCHANK SH AE1 NG K +SCHANTZ SH AE1 N T S +SCHANZ SH AE1 N S +SCHAPER SH EY1 P ER0 +SCHAPIRO SH AE1 P AY0 R OW0 +SCHAPP SH AE1 P +SCHAPPELL SH AE1 P AH0 L +SCHAPPERT SH AE1 P ER0 T +SCHAR SH AA1 R +SCHARA S K AE1 R AH0 +SCHARDT SH AA1 R T +SCHARENBERG SH EH1 R AH0 N B ER0 G +SCHARER SH EH1 R ER0 +SCHARF SH AA1 R F +SCHARFE S K AA1 R F +SCHARFENBERG SH AA1 R F AH0 N B ER0 G +SCHARFF SH AA1 R F +SCHARFFENBERGER SH AA1 R F AH0 N B ER0 G ER0 +SCHARLAU SH AA1 R L AW0 +SCHARNHORST SH AA1 R N HH AO0 R S T +SCHARP SH AA1 R P +SCHARPF SH AA1 R P F +SCHARR SH AA1 R +SCHARRER SH AA1 R ER0 +SCHARTZ SH AA1 R T S +SCHATTNER SH AE1 T N ER0 +SCHATZ SH AE1 T S +SCHATZBERG SH AE1 T S B ER0 G +SCHATZEL SH AE1 T Z AH0 L +SCHATZMAN SH AE1 T Z M AH0 N +SCHAU SH OW1 +SCHAUB SH AO1 B +SCHAUBLE SH OW1 B AH0 L +SCHAUER SH AW1 ER0 +SCHAUF SH AW1 F +SCHAUFLER SH AW1 F AH0 L ER0 +SCHAUFLER(2) SH AW1 F L ER0 +SCHAUL SH OW1 L +SCHAUM SH OW1 M +SCHAUMBERG SH OW1 M B ER0 G +SCHAUMBURG SH AW1 M B ER0 G +SCHAUS S K AW1 S +SCHAUT SH OW1 T +SCHAVE SH EY1 V +SCHEAR SH IH1 R +SCHECHTER SH EH1 K T ER0 +SCHECHTMAN SH EH1 K T M AH0 N +SCHECK SH EH1 K +SCHECKEL SH EH1 K AH0 L +SCHECTER SH EH1 K T ER0 +SCHEDLER SH EH1 D AH0 L ER0 +SCHEDLER(2) SH EH1 D L ER0 +SCHEDULE S K EH1 JH UH0 L +SCHEDULE(2) S K EH1 JH UW0 L +SCHEDULED S K EH1 JH UH0 L D +SCHEDULED(2) S K EH1 JH UW0 L D +SCHEDULER S K EH1 JH UH0 L ER0 +SCHEDULER(2) S K EH1 JH UW0 L ER0 +SCHEDULERS S K EH1 JH UH0 L ER0 Z +SCHEDULERS(2) S K EH1 JH UW0 L ER0 Z +SCHEDULES S K EH1 JH UH0 L Z +SCHEDULES(2) S K EH1 JH UW0 L Z +SCHEDULING S K EH1 JH UH0 L IH0 NG +SCHEDULING(2) S K EH1 JH UW0 L IH0 NG +SCHEEL SH IY1 L +SCHEELE SH IY1 L +SCHEELER SH IY1 L ER0 +SCHEER SH IH1 R +SCHEERER SH IH1 R ER0 +SCHEETS SH IY1 T S +SCHEETZ SH IY1 T S +SCHEFF SH EH1 F +SCHEFFEL SH EH1 F AH0 L +SCHEFFER SH EH1 F ER0 +SCHEFFLER SH EH1 F AH0 L ER0 +SCHEFFLER(2) SH EH1 F L ER0 +SCHEHR SH EH1 R +SCHEIB SH AY1 B +SCHEIBE SH AY1 B +SCHEIBEL SH AY1 B AH0 L +SCHEIBER SH AY1 B ER0 +SCHEIBLE S K AY1 B AH0 L +SCHEIBNER SH AY1 B N ER0 +SCHEID SH AY1 D +SCHEIDECKER SH AY1 D IH0 K ER0 +SCHEIDEGGER SH AY1 D IH0 G ER0 +SCHEIDEL SH AY1 D AH0 L +SCHEIDER SH AY1 D ER0 +SCHEIDERER SH AY1 D ER0 ER0 +SCHEIDLER SH AY1 D AH0 L ER0 +SCHEIDLER(2) SH AY1 D L ER0 +SCHEIDT SH AY1 T +SCHEIER SH AY1 ER0 +SCHEIMAN SH AY1 M AH0 N +SCHEIN SH AY1 N +SCHEINBERG SH AY1 N B ER0 G +SCHEINER SH AY1 N ER0 +SCHEIRER SH AY1 ER0 R +SCHELER SH IY1 L ER0 +SCHELIN SH EH1 L IH0 N +SCHELL S K EH1 L +SCHELLENBERG SH EH1 L AH0 N B ER0 G +SCHELLENBERGER SH EH1 L AH0 N B ER0 G ER0 +SCHELLENGER SH EH1 L IH0 N JH ER0 +SCHELLER S K EH1 L ER0 +SCHELLHAMMER SH EH1 L HH AH0 M ER0 +SCHELLHASE SH EH1 L HH AH0 S +SCHELLHORN SH EH1 L HH ER0 N +SCHELLING S K EH1 L IH0 NG +SCHELLINGER SH EH1 L IH0 NG ER0 +SCHEMA S K IY1 M AH0 +SCHEMAS S K IY1 M AH0 Z +SCHEMATA S K IH0 M AE1 T AH0 +SCHEMATIC S K IH0 M AE1 T IH0 K +SCHEMATICS S K IH0 M AE1 T IH0 K S +SCHEMBRI SH EH1 M B R IY0 +SCHEME S K IY1 M +SCHEMED S K IY1 M D +SCHEMEL SH EH1 M AH0 L +SCHEMER S K IY1 M ER0 +SCHEMES S K IY1 M Z +SCHEMING S K IY1 M IH0 NG +SCHEMM SH EH1 M +SCHEMMEL SH EH1 M AH0 L +SCHEMPF SH EH1 M F +SCHEMPP SH EH1 M P +SCHENA SH IY1 N AH0 +SCHENCK SH EH1 NG K +SCHENDEL SH EH1 N D AH0 L +SCHENECTADY S K AH0 N EH1 K T AH0 D IY0 +SCHENECTADY'S S K AH0 N EH1 K T AH0 D IY0 Z +SCHENK SH EH1 NG K +SCHENKEL SH EH1 NG K AH0 L +SCHENKEN SH EH1 NG K AH0 N +SCHENKER SH EH1 NG K ER0 +SCHENLEY SH EH1 N L IY0 +SCHEPER SH IY1 P ER0 +SCHEPERS SH IY1 P ER0 Z +SCHEPIS SH EH1 P IH0 S +SCHEPP SH EH1 P +SCHER SH ER1 +SCHERB SH ER1 B +SCHERBARTH SH ER1 B AA0 R TH +SCHERER SH IH1 R ER0 +SCHERER'S SH EH1 R ER0 Z +SCHERF SH ER1 F +SCHERFF SH ER1 F +SCHERGER SH ER1 G ER0 +SCHERING SH ER1 IH0 NG +SCHERING(2) SH EH1 R IH0 NG +SCHERING'S SH EH1 R IH0 NG Z +SCHERLIS SH ER1 L IH0 S +SCHERMAN SH ER1 M AH0 N +SCHERMER SH ER1 M ER0 +SCHERMERHORN SH ER1 M ER0 HH ER0 N +SCHERR SH EH1 R +SCHERRER SH EH1 R ER0 +SCHERTZ SH ER1 T S +SCHERTZER SH ER1 T S ER0 +SCHERZ SH ER1 Z +SCHERZER SH ER1 Z ER0 +SCHERZINGER SH ER1 Z IH0 NG ER0 +SCHETTER SH EH1 T ER0 +SCHETTINO SH EH1 T IY0 N OW0 +SCHETTLER SH EH1 T AH0 L ER0 +SCHETTLER(2) SH EH1 T L ER0 +SCHEU SH OY1 +SCHEUER SH OY1 ER0 +SCHEUERMAN SH OY1 ER0 M AH0 N +SCHEUERMANN SH OY1 ER0 M AH0 N +SCHEUFLER SH OY1 F AH0 L ER0 +SCHEUFLER(2) SH OY1 F L ER0 +SCHEUNEMANN SH OY1 N M AH0 N +SCHEURER SH ER1 ER0 +SCHEURICH SH OY1 R IH0 K +SCHEURING SH ER1 IH0 NG +SCHEVE SH IY1 V +SCHEWE SH Y UW1 +SCHEXNAYDER SH EH1 K S N EY0 D ER0 +SCHEXNIDER SH EH1 K S N AY0 D ER0 +SCHEY SH EY1 +SCHIANO S K IY0 AA1 N OW0 +SCHIAPPA S K IY0 AA1 P AH0 +SCHIAVI S K IY0 AA1 V IY0 +SCHIAVO S K IY0 AA1 V OW0 +SCHIAVO'S S K IY0 AA1 V OW0 Z +SCHIAVONE S K IY0 AA0 V OW1 N IY0 +SCHIAVONI S K IY0 AA0 V OW1 N IY0 +SCHICK SH IH1 K +SCHICKER SH IH1 K ER0 +SCHICKLER SH IH1 K AH0 L ER0 +SCHICKLER(2) SH IH1 K L ER0 +SCHICKLING SH IH1 K AH0 L IH0 NG +SCHICKLING(2) SH IH1 K L IH0 NG +SCHIEBEL SH IY1 B AH0 L +SCHIEBER SH IY1 B ER0 +SCHIEFELBEIN SH IY1 F IH0 L B AY0 N +SCHIEFER SH IY1 F ER0 +SCHIEFFELIN SH IY1 F AH0 L IH0 N +SCHIEFFER SH IY1 F ER0 +SCHIEL SH IY1 L +SCHIELD SH IY1 L D +SCHIELE SH IY1 L +SCHIELKE SH IY1 L K +SCHIEMANN SH IY1 M AH0 N +SCHIER SH AY1 ER0 +SCHIEREN SH IH1 R AH0 N +SCHIERL SH IH1 R L +SCHIESS SH IY1 S +SCHIESSER SH IY1 S ER0 +SCHIEWE SH IY1 W IY0 +SCHIFANO S K IY0 F AA1 N OW0 +SCHIFERON SH IH1 F ER0 AO2 N +SCHIFERON(2) SH IH1 F R AO2 N +SCHIFERON'S SH IH1 F ER0 AO2 N Z +SCHIFERON'S(2) SH IH1 F R AO2 N Z +SCHIFF SH IH1 F +SCHIFFBAUER SH IH1 F B AW0 ER0 +SCHIFFER SH IH1 F ER0 +SCHIFFLER SH IH1 F AH0 L ER0 +SCHIFFLER(2) SH IH1 F L ER0 +SCHIFFMAN SH IH1 F M AH0 N +SCHIFFNER SH IH1 F N ER0 +SCHILD SH AY1 L D +SCHILDER SH AY1 L D ER0 +SCHILDKNECHT SH AY1 L D K AH0 N EH2 K T +SCHILDT SH IH1 L T +SCHILKE SH IH1 L K +SCHILL SH IH1 L +SCHILLACI S K IY0 L AA1 CH IY0 +SCHILLER SH IH1 L ER0 +SCHILLER'S SH IH1 L ER0 Z +SCHILLING SH IH1 L IH0 NG +SCHILLING'S SH IH1 L IH0 NG Z +SCHILLINGER SH IH1 L IH0 NG ER0 +SCHILLINGS SH IH1 L IH0 NG Z +SCHILLO S K IH1 L OW0 +SCHILT SH IH1 L T +SCHILTKNECHT SH IH1 L T N EH2 K T +SCHILTZ SH IH1 L T S +SCHILZ SH IH1 L Z +SCHIMBERNI SH IH0 M B ER1 N IY0 +SCHIMEK SH IH1 M IH0 K +SCHIMKE S K IH1 M K +SCHIMMEL SH IH1 M AH0 L +SCHIMMELBUSCH SH IH1 M AH0 L B UH2 SH +SCHIMMING SH IH1 M IH0 NG +SCHIMPF SH IH1 M P F +SCHINDEL SH IH1 N D AH0 L +SCHINDLER SH IH1 N D L ER0 +SCHINDLER'S SH IH1 N D L ER0 Z +SCHINKE S K IH1 NG K +SCHINKEL SH IH1 NG K AH0 L +SCHIPANI S K IY0 P AA1 N IY0 +SCHIPHOL S K IH1 P AH0 L +SCHIPKE SH IH1 P K IY0 +SCHIPPER SH IH1 P ER0 +SCHIPPERS SH IH1 P ER0 Z +SCHIRALDI S K IH0 R AA1 L D IY0 +SCHIRM SH ER1 M +SCHIRMER SH ER1 M ER0 +SCHIRO S K IH1 R OW0 +SCHIRTZINGER SH ER1 T Z IH0 NG ER0 +SCHISLER SH IH1 S AH0 L ER0 +SCHISLER(2) SH IH1 S L ER0 +SCHISM S K IH1 Z AH0 M +SCHISMS S K IH1 Z AH0 M Z +SCHISSEL SH IH1 S AH0 L +SCHISSLER SH IH1 S AH0 L ER0 +SCHISSLER(2) SH IH1 S L ER0 +SCHIST SH IH1 S T +SCHISTS SH IH1 S T S +SCHIZOPHRENIA S K IH2 T S AH0 F R IY1 N IY0 AH0 +SCHIZOPHRENIC SH IH2 Z AH0 F R EH1 N IH0 K +SCHLABACH SH L AE1 B AA0 K +SCHLACHTER SH L AE1 K T ER0 +SCHLACK SH L AE1 K +SCHLAFER SH L EY1 F ER0 +SCHLAFLY SH L AE1 F L IY0 +SCHLAG SH L AE1 G +SCHLAGEL SH L AE1 G AH0 L +SCHLAGER SH L EY1 G ER0 +SCHLAGETER SH L AE1 G IY0 T ER0 +SCHLAKE SH L EY1 K +SCHLANG SH L AE1 NG +SCHLANGEN SH L AE1 NG AH0 N +SCHLANGER SH L AE1 NG ER0 +SCHLARB SH L AA1 R B +SCHLATER SH L EY1 T ER0 +SCHLATTER SH L AE1 T ER0 +SCHLAUCH SH L AW1 K +SCHLECHT SH L EH1 K T +SCHLECHTER SH L EH1 K T ER0 +SCHLEE SH L IY1 +SCHLEETER SH L IY1 T ER0 +SCHLEGEL SH L EY1 G AH0 L +SCHLEGELMILCH SH L EH1 G IH0 L M IH0 L K +SCHLEICH SH L AY1 K +SCHLEICHER SH L AY1 K ER0 +SCHLEIF SH L AY1 F +SCHLEIFER SH L AY1 F ER0 +SCHLEIGER SH L AY1 G ER0 +SCHLEIMER SH L AY1 M ER0 +SCHLEIN SH L AY1 N +SCHLEIS SH L AY1 Z +SCHLEMMER SH L EH1 M ER0 +SCHLENDER SH L EH1 N D ER0 +SCHLENKER SH L EH1 NG K ER0 +SCHLEPP SH L EH1 P +SCHLERETH SH L EH1 R IH0 TH +SCHLESINGER SH L EH1 S IH0 N JH ER0 +SCHLESSER SH L EH1 S ER0 +SCHLESSINGER SH L EH1 S IH0 N JH ER0 +SCHLESWIG SH L EH1 S W IH0 G +SCHLEY SH L EY1 +SCHLEYER SH L EY1 ER0 +SCHLICHER SH L IH1 K ER0 +SCHLICHT SH L IH1 K T +SCHLICHTER SH L IH1 K T ER0 +SCHLICHTING SH L IH1 K T IH0 NG +SCHLICK SH L IH1 K +SCHLICKER SH L IH1 K ER0 +SCHLICT SH L IH1 K T +SCHLIE SH L IY1 +SCHLIEP SH L IY1 P +SCHLIEPER SH L IY1 P ER0 +SCHLINK SH L IH1 NG K +SCHLITT SH L IH1 T +SCHLITTER SH L IH1 T ER0 +SCHLITZ SH L IH1 T S +SCHLOBOHM SH L AA1 B OW0 M +SCHLOCK SH L AA1 K +SCHLOEMER SH L OW1 M ER0 +SCHLOESSER SH L AA1 IH0 S ER0 +SCHLOESSER(2) SH L AA1 S ER0 +SCHLOSBERG SH L AA1 S B ER0 G +SCHLOSS SH L AO1 S +SCHLOSSBERG SH L AO1 S B ER0 G +SCHLOSSER SH L AO1 S ER0 +SCHLOSSMAN SH L AO1 S M AH0 N +SCHLOTT SH L AA1 T +SCHLOTTER SH L AA1 T ER0 +SCHLOTTERBECK SH L AA1 T ER0 B EH0 K +SCHLOTTMAN SH L AA1 T M AH0 N +SCHLOTZHAUER SH L AA1 T S HH AW0 ER0 +SCHLOUGH SH L AW1 +SCHLUETER SH L UH1 T ER0 +SCHLUMBERGER SH L AH1 M B ER0 ZH EY2 +SCHLUMBERGER(2) SH L AH1 M B ER0 G ER0 +SCHLUND SH L AH1 N D +SCHLUP SH L AH1 P +SCHLUTER SH L UW1 T ER0 +SCHMADER SH M EY1 D ER0 +SCHMAHL SH M AA1 L +SCHMAL SH M AE1 L +SCHMALE SH M EY1 L +SCHMALL SH M AO1 L +SCHMALTZ SH M AA1 L T S +SCHMALZ SH M AO1 L Z +SCHMANCY SH M AE1 N S IY0 +SCHMAUS SH M AW1 Z +SCHMEAD SH M IY1 D +SCHMECHEL SH M EH1 K AH0 L +SCHMECK SH M EH1 K +SCHMEHL SH M EH1 L +SCHMEICHEL SH M AY1 K AH0 L +SCHMEISER SH M AY1 S ER0 +SCHMELING SH M EH1 L IH0 NG +SCHMELTER SH M EH1 L T ER0 +SCHMELTZ SH M EH1 L T S +SCHMELTZER SH M EH1 L T Z ER0 +SCHMELZ SH M EH1 L Z +SCHMELZER SH M EH1 L Z ER0 +SCHMELZLE SH M EH1 L Z AH0 L +SCHMERGEL SH M ER1 G AH0 L +SCHMERTZ SH M ER1 T S +SCHMETTERER SH M EH1 T ER0 ER0 +SCHMICK SH M IH1 K +SCHMID SH M IH1 D +SCHMIDDY SH M IH1 D IY0 +SCHMIDGALL SH M IH1 JH AH0 L +SCHMIDL SH M IH1 D AH0 L +SCHMIDLIN SH M IH1 D L IH0 N +SCHMIDT SH M IH1 T +SCHMIDT'S SH M IH1 T S +SCHMIDTKE SH M IH1 T K IY0 +SCHMIED SH M AY1 D +SCHMIEDER SH M AY1 D ER0 +SCHMIEG SH M IY1 G +SCHMIERER SH M AY1 ER0 ER0 +SCHMIESING SH M IY1 S IH0 NG +SCHMIT SH M IH1 T +SCHMITT SH M IH1 T +SCHMITTER SH M IH1 T ER0 +SCHMITTOU SH M IH1 CH UW0 +SCHMITZ SH M IH1 T S +SCHMITZER SH M IH1 T S ER0 +SCHMOKE SH M OW1 K +SCHMOKER SH M OW1 K ER0 +SCHMOLDT SH M OW1 L T +SCHMOLL SH M AA1 L +SCHMOOZE SH M UW1 Z +SCHMOOZING SH M UW1 Z IH0 NG +SCHMOTZER SH M OW1 T Z ER0 +SCHMOYER SH M OY1 ER0 +SCHMUCK SH M AH1 K +SCHMUCKER SH M AH1 K ER0 +SCHMUCKLER SH M AH1 K L ER0 +SCHMUHL SH M AH1 L +SCHMULTS SH M AH1 L T S +SCHMUNK SH M AH1 NG K +SCHMUTZ SH M AH1 T S +SCHMUTZLER SH M AH1 T Z AH0 L ER0 +SCHMUTZLER(2) SH M AH1 T Z L ER0 +SCHNABEL SH N AE1 B AH0 L +SCHNACK SH N AE1 K +SCHNACKENBERG SH N AE1 K AH0 N B ER0 G +SCHNAKE SH N EY1 K +SCHNAKENBERG SH N EY1 K AH0 N B ER0 G +SCHNALL SH N AO1 L +SCHNAPP SH N AE1 P +SCHNAPPS SH N AE1 P S +SCHNARR SH N AE1 R +SCHNAUZER SH N AW1 Z ER0 +SCHNEBERGER SH N IY1 B ER0 G ER0 +SCHNEBLY SH N EH1 B L IY0 +SCHNECK SH N EH1 K +SCHNECKLOTH SH N EH1 K L AH0 TH +SCHNEE SH N IY1 +SCHNEEBERGER SH N IY1 B ER0 G ER0 +SCHNEEMAN SH N IY1 M AH0 N +SCHNEERSON SH N IH1 R S AH0 N +SCHNEERSON'S SH N IH1 R S AH0 N Z +SCHNEID SH N AY1 D +SCHNEIDER SH N AY1 D ER0 +SCHNEIDER'S SH N AY1 D ER0 Z +SCHNEIDERMAN SH N AY1 D ER0 M AH0 N +SCHNEIDERMAN'S SH N AY1 D ER0 M AH0 N Z +SCHNEIDERS SH N AY1 D ER0 Z +SCHNEIDERS' SH N AY1 D ER0 Z +SCHNEIDEWIND SH N AY1 D AH0 W IH2 N D +SCHNEIDEWIND'S SH N AY1 D AH0 W IH2 N D Z +SCHNEIER SH N AY1 ER0 +SCHNEITER SH N AY1 T ER0 +SCHNELL SH N EH1 L +SCHNELLE SH N EH1 L +SCHNELLER SH N EH1 L ER0 +SCHNEPF SH N EH1 P F +SCHNEPP SH N EH1 P +SCHNETTLER SH N EH1 T AH0 L ER0 +SCHNETTLER(2) SH N EH1 T L ER0 +SCHNETZER SH N EH1 T Z ER0 +SCHNICK SH N IH1 K +SCHNIDER SH N AY1 D ER0 +SCHNIEDER SH N AY1 D ER0 +SCHNIEDERS SH N AY1 D ER0 Z +SCHNIER SH N AY1 ER0 +SCHNITKER SH N IH1 T K ER0 +SCHNITTKE SH N IH1 T K IY0 +SCHNITZ SH N IH1 T S +SCHNITZER SH N IH1 T Z ER0 +SCHNITZLER SH N IH1 T S L ER0 +SCHNOEBELEN SH N OW1 B AH0 L AH0 N +SCHNOOK SH N UH1 K +SCHNOOKS SH N UH1 K S +SCHNOOR SH N UH1 R +SCHNORR SH N AO1 R +SCHNUR SH N ER1 +SCHNURR SH N ER1 +SCHNYDER SH N AY1 D ER0 +SCHNYDER'S SH N AY1 D ER0 Z +SCHOBEL SH OW1 B AH0 L +SCHOBER SH OW1 B ER0 +SCHOBERT SH AA1 B ER0 T +SCHOCH SH AA1 K +SCHOCK SH AA1 K +SCHOECK SH OW1 K +SCHOEFFLER SH OW1 F AH0 L ER0 +SCHOEFFLER(2) SH OW1 F L ER0 +SCHOELLER SH OW1 L ER0 +SCHOELLHORN SH OW1 L HH AO2 R N +SCHOEMAKER SH OW1 M EY2 K ER0 +SCHOEN SH OW1 N +SCHOENBAUM SH OW1 N B AW2 M +SCHOENBECK SH OW1 N B EH2 K +SCHOENBERG SH OW1 N B ER0 G +SCHOENBERGER SH OW1 N B ER0 G ER0 +SCHOENBORN SH OW1 N B ER0 N +SCHOENDORF SH OW1 N D AO0 R F +SCHOENE SH AA1 IY0 N +SCHOENECK SH OW1 N EH0 K +SCHOENECKER SH OW1 N EH0 K ER0 +SCHOENEMAN SH AA1 IY0 N M AH0 N +SCHOENEMANN SH AA1 IY0 N M AH0 N +SCHOENER SH OW1 N ER0 +SCHOENFELD SH OW1 N F EH2 L D +SCHOENFELDER SH OW1 N F EH0 L D ER0 +SCHOENFELDT SH OW1 N F EH2 L T +SCHOENHALS SH OW1 N HH AH0 L Z +SCHOENHERR SH OW1 N HH ER0 +SCHOENHOF SH OW1 N HH AA2 F +SCHOENHOF'S SH OW1 N HH AA2 F S +SCHOENHOLTZ SH OW1 N HH OW2 L T S +SCHOENIG SH OW1 N IH0 G +SCHOENING SH AA1 AH0 N IH0 NG +SCHOENROCK SH OW1 N R AH0 K +SCHOENTHAL SH OW1 N TH AO2 L +SCHOENWALD SH OW1 N W AO2 L D +SCHOEPE SH OW1 P +SCHOEPF SH OW1 P +SCHOEPKE SH OW1 P K IY0 +SCHOEPP SH OW1 P +SCHOEPPNER SH OW1 P N ER0 +SCHOETTLE SH OW1 T AH0 L +SCHOFF SH AO1 F +SCHOFFSTALL SH AO1 F S T AH0 L +SCHOFIELD S K OW1 F IY0 L D +SCHOLAR S K AA1 L ER0 +SCHOLAR'S S K AA1 L ER0 Z +SCHOLARLY S K AA1 L ER0 L IY0 +SCHOLARS S K AA1 L ER0 Z +SCHOLARSHIP S K AA1 L ER0 SH IH2 P +SCHOLARSHIPS S K AA1 L ER0 SH IH2 P S +SCHOLASTIC S K AH0 L AE1 S T IH0 K +SCHOLBERG SH OW1 L B ER0 G +SCHOLER SH OW1 L ER0 +SCHOLES S K OW1 L Z +SCHOLEY SH OW1 L IY0 +SCHOLFIELD S K OW1 L F IY2 L D +SCHOLL SH AA1 L +SCHOLLE SH OW1 L +SCHOLLER SH AA1 L ER0 +SCHOLLMEYER SH AA1 L M AY0 ER0 +SCHOLTEN SH OW1 L T AH0 N +SCHOLTES SH OW1 L T S +SCHOLTZ SH OW1 L T S +SCHOLZ SH OW1 L Z +SCHOLZE SH OW1 L Z +SCHOMAKER SH OW1 M EY2 K ER0 +SCHOMBERG SH AA1 M B ER0 G +SCHOMBURG SH AA1 M B ER0 G +SCHOMER SH OW1 M ER0 +SCHOMMER SH AA1 M ER0 +SCHON SH AA1 N +SCHONBERG SH AA1 N B ER0 G +SCHONBERGER SH AA1 N B ER0 G ER0 +SCHONE SH OW1 N +SCHONEMAN SH OW1 N M AH0 N +SCHONFELD SH AA1 N F EH2 L D +SCHONS SH AA1 N Z +SCHOO SH UW1 +SCHOOF SH UH1 F +SCHOOK SH UH1 K +SCHOOL S K UW1 L +SCHOOL'S S K UW1 L Z +SCHOOLBOOK S K UW1 L B UH2 K +SCHOOLBOOKS S K UW1 L B UH2 K S +SCHOOLBOY S K UW1 L B OY2 +SCHOOLBOYS S K UW1 L B OY2 Z +SCHOOLBUS S K UW1 L B AH2 S +SCHOOLCHILD S K UW1 L CH AY2 L D +SCHOOLCHILDREN S K UW1 L CH IH2 L D R AH0 N +SCHOOLCRAFT S K UW1 L K R AE2 F T +SCHOOLED S K UW1 L D +SCHOOLER S K UW1 L ER0 +SCHOOLERS S K UW1 L ER0 Z +SCHOOLEY S K UW1 L IY0 +SCHOOLFIELD S K UW1 L F IY2 L D +SCHOOLGIRL S K UW1 L G ER2 L +SCHOOLGIRLS S K UW1 L G ER2 L Z +SCHOOLHOUSE S K UW1 L HH AW2 S +SCHOOLING S K UW1 L IH0 NG +SCHOOLMASTER S K UW1 L M AE2 S T ER0 +SCHOOLMATE S K UW1 L M EY2 T +SCHOOLMATES S K UW1 L M EY2 T S +SCHOOLROOM S K UW1 L R UW2 M +SCHOOLS S K UW1 L Z +SCHOOLS' S K UW1 L Z +SCHOOLTEACHER S K UW1 L T IY2 CH ER0 +SCHOOLTEACHERS S K UW1 L T IY2 CH ER0 Z +SCHOOLTIME S K UW1 L T AY2 M +SCHOOLWORK S K UW1 L W ER2 K +SCHOOLYARD S K UW1 L Y AA2 R D +SCHOON S K UW1 N +SCHOONER S K UW1 N ER0 +SCHOONERS S K UW1 N ER0 Z +SCHOONMAKER SH UW1 N M EY0 K ER0 +SCHOONOVER SH UW1 N AH0 V ER0 +SCHOPF SH AA1 P F +SCHOPFER SH AA1 P F ER0 +SCHOPP SH AA1 P +SCHOPPE SH AA1 P +SCHOR SH AO1 R +SCHORK SH AO1 R K +SCHORN SH AO1 R N +SCHORR SH AO1 R +SCHORR'S SH AO1 R Z +SCHORSCH SH AO1 R SH +SCHOTT SH AA1 T +SCHOTT'S SH AA1 T S +SCHOTTENSTEIN SH AA1 T AH0 N S T IY2 N +SCHOTTENSTEIN(2) SH AA1 T AH0 N S T AY2 N +SCHOU SH UW1 +SCHOUTEN SH AA1 UW0 T AH0 N +SCHOW SH AW1 +SCHOWALTER SH AW1 AH0 L T ER0 +SCHRACK SH R AE1 K +SCHRADE SH R EY1 D +SCHRADER SH R EY1 D ER0 +SCHRAEDER SH R EH1 D ER0 +SCHRAG SH R AE1 G +SCHRAGE SH R EY1 JH +SCHRAGER SH R EY1 G ER0 +SCHRAM SH R AE1 M +SCHRAMM SH R AE1 M +SCHRANDT SH R AE1 N T +SCHRANK SH R AE1 NG K +SCHRANTZ SH R AE1 N T S +SCHRANZ SH R AE1 N S +SCHRAUFNAGEL SH R AW1 F N AH0 G AH0 L +SCHRECENGOST SH R EH1 S IH0 NG G AH0 S T +SCHRECK SH R EH1 K +SCHRECKENGOST SH R EH1 K IH0 NG G AH0 S T +SCHRECONGOST SH R EH1 K AH0 NG G AH0 S T +SCHREDER SH R IY1 D ER0 +SCHREFFLER SH R EH1 F AH0 L ER0 +SCHREFFLER(2) SH R EH1 F L ER0 +SCHREGER SH R EH1 G ER0 +SCHREIBER SH R AY1 B ER0 +SCHREIBMAN SH R AY1 B M AH0 N +SCHREIER SH R AY1 ER0 +SCHREIFELS SH R AY1 F AH0 L Z +SCHREINER SH R AY1 N ER0 +SCHREITER SH R AY1 T ER0 +SCHREMP SH R EH1 M P +SCHREMPF SH R EH1 M P F +SCHREMPP SH R EH1 M P +SCHRENK SH R EH1 NG K +SCHREUR SH R ER1 +SCHREURS SH R ER1 Z +SCHREYER SH R AY1 R +SCHRIBER SH R AY1 B ER0 +SCHRICK SH R IH1 K +SCHRICKER SH R IH1 K ER0 +SCHRIEBER SH R IY1 B ER0 +SCHRIEFER SH R IY1 F ER0 +SCHRIER SH R AY1 ER0 +SCHRIEVER SH R IY1 V ER0 +SCHRIMPF SH R IH1 M P F +SCHRIMSHER SH R IH1 M SH ER0 +SCHRINER SH R AY1 N ER0 +SCHRIVER SH R AY1 V ER0 +SCHROADER SH R OW1 D ER0 +SCHROCK SH R AA1 K +SCHRODER SH R OW1 D ER0 +SCHRODERS SH R OW1 D ER0 Z +SCHRODT SH R AA1 T +SCHROECK SH R OW1 K +SCHROEDER SH R OW1 D ER0 +SCHROEDER'S SH R OW1 D ER0 Z +SCHROEDL SH R OW1 D AH0 L +SCHROEPFER SH R OW1 P F ER0 +SCHROER SH R OW1 ER0 +SCHROETER SH R OW1 T ER0 +SCHROFF SH R AO1 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OW1 L D Z +SCOLES S K OW1 L Z +SCOLIA S K OW1 L Y AH0 +SCOMA S K OW1 M AH0 +SCONC S K AA1 N S +SCONCE S K AA1 N S +SCONCES S K AA1 N S IH0 Z +SCONE S K OW1 N +SCONES S K OW1 N Z +SCONIERS S K AO1 N IY0 ER0 Z +SCONNIX S K AA1 N IH0 K S +SCONYERS S K AO1 N IY0 ER0 Z +SCOOBY S K UW1 B IY0 +SCOOP S K UW1 P +SCOOPED S K UW1 P T +SCOOPER S K UW1 P ER0 +SCOOPING S K UW1 P IH0 NG +SCOOPS S K UW1 P S +SCOOT S K UW1 T +SCOOTER S K UW1 T ER0 +SCOOTERS S K UW1 T ER0 Z +SCOOTS S K UW1 T S +SCOPE S K OW1 P +SCOPES S K OW1 P S +SCOPIC S K AA1 P IH0 K +SCOPING S K OW1 P IH0 NG +SCOPOLAMINE S K AO1 P AH0 L AH0 M IY2 N +SCOPOLAMINE(2) S K OW1 P L AH0 M IY2 N +SCOR S K AO1 R +SCORCH S K AO1 R CH +SCORCHED S K AO1 R CH T +SCORCHER S K AO1 R CH ER0 +SCORCHING S K AO1 R CH IH0 NG +SCORE S K AO1 R +SCOREBOARD S K AO1 R B AO2 R D +SCORECARD S K AO1 R K AA2 R D +SCORECARDS S K AO1 R K AA2 R D Z +SCORED S K AO1 R D +SCOREKEEPER S K AO1 R K IY2 P ER0 +SCOREKEEPERS S K AO1 R K IY2 P ER0 Z +SCOREKEEPING S K AO1 R K IY2 P IH0 NG +SCORELESS S K AO1 R L AH0 S +SCORER S K AO1 R ER0 +SCORERS S K AO1 R ER0 Z +SCORES S K AO1 R Z +SCORING S K AO1 R IH0 NG +SCORN S K AO1 R N +SCORNED S K AO1 R N D +SCORNFUL S K AO1 R N F AH0 L +SCORNS S K AO1 R N Z +SCORPIO S K AO1 R P IY0 OW2 +SCORPION S K AO1 R P IY0 AH0 N +SCORPIONS S K AO1 R P IY0 AH0 N Z +SCORPIUS S K AO1 R P IY2 AH0 S +SCORSESE S K AO2 R S IY1 Z +SCORSESE(2) S K AO2 R S EY1 Z IY0 +SCORSESE'S S K AO2 R S IY1 Z IH0 Z +SCORSESE'S(2) S K AO2 R S EY1 Z IY0 Z +SCORSONE S K AO1 R S AH0 N +SCORTESE S K AO0 R T IY1 Z +SCORTESE(2) S K AO0 R T IY1 Z IY0 +SCORZA S K AO1 R Z AH0 +SCOT S K AA1 T +SCOTCH S K AA1 CH +SCOTCHED S K AA1 CH T +SCOTCHES S K AA1 CH IH0 Z +SCOTCHGARD S K AA1 CH G AA2 R D +SCOTIA S K OW1 SH AH0 +SCOTIA'S S K OW1 SH AH0 Z +SCOTLAND S K AA1 T L AH0 N D +SCOTLAND'S S K AA1 T L AH0 N D Z +SCOTS S K AA1 T S +SCOTSMAN S K AA1 T S M AH0 N +SCOTT S K AA1 T +SCOTT'S S K AA1 T S +SCOTTEN S K AA1 T AH0 N +SCOTTIE S K AA1 T IY0 +SCOTTISH S K AA1 T IH0 SH +SCOTTO S K OW1 T OW0 +SCOTTO(2) S K AA1 T OW0 +SCOTTON S K AA1 T AH0 N +SCOTTS S K AA1 T S +SCOTTSBLUFF S K AA1 T S B L AH2 F +SCOTTSDALE S K AA1 T S D EY2 L +SCOTTY S K AA1 T IY0 +SCOTTY'S S K AA1 T IY0 Z +SCOUNDREL S K AW1 N D R AH0 L +SCOUNDRELS S K AW1 N D R AH0 L Z +SCOUR S K AW1 ER0 +SCOUR(2) S K AW1 R +SCOURED S K AW1 ER0 D +SCOURGE S K ER1 JH +SCOURGED S K ER1 JH D +SCOURGES S K ER1 JH IH0 Z +SCOURGING S K ER1 JH IH0 NG +SCOURING S K AW1 ER0 IH0 NG +SCOURS S K AW1 ER0 Z +SCOUT S K AW1 T +SCOUT'S S K AW1 T S +SCOUTED S K AW1 T IH0 D +SCOUTEN S K AW1 T AH0 N +SCOUTER S K AW1 T ER0 +SCOUTERS S K AW1 T ER0 Z +SCOUTING S K AW1 T IH0 NG +SCOUTMASTER S K AW1 T M AE2 S T ER0 +SCOUTS S K AW1 T S +SCOVEL S K OW1 V AH0 L +SCOVELL S K AA1 V AH0 L +SCOVIL S K OW1 V AH0 L +SCOVILL S K AA1 V AH0 L +SCOVILLE S K OW1 V IH2 L +SCOW S K AW1 +SCOWCROFT S K OW1 K R AO2 F T +SCOWDEN S K AW1 D AH0 N +SCOWL S K AW1 L +SCOWLED S K AW1 L D +SCOWLING S K AW1 L IH0 NG +SCOZZAFAVA S K OW0 T S AA0 F AA1 V AH0 +SCRABBLE S K R AE1 B AH0 L +SCRAGG S K R AE1 G +SCRAGGLE S K R AE1 G AH0 L +SCRAGGLY S K R AE1 G L IY0 +SCRAM S K R AE1 M +SCRAMBLE S K R AE1 M B AH0 L +SCRAMBLED S K R AE1 M B AH0 L D +SCRAMBLES S K R AE1 M B AH0 L Z +SCRAMBLING S K R AE1 M B AH0 L IH0 NG +SCRAMBLING(2) S K R AE1 M B L IH0 NG +SCRAMS S K R AE1 M Z +SCRANTON S K R AE1 N T AH0 N +SCRAP S K R AE1 P +SCRAPBOOK S K R AE1 P B UH2 K +SCRAPBOOKS S K R AE1 P B UH2 K S +SCRAPE S K R EY1 P +SCRAPED S K R EY1 P T +SCRAPER S K R EY1 P ER0 +SCRAPERS S K R EY1 P ER0 Z +SCRAPES S K R EY1 P S +SCRAPING S K R EY1 P IH0 NG +SCRAPINGS S K R EY1 P IH0 NG Z +SCRAPIRON S K R AE1 P AY2 ER0 N +SCRAPPED S K R AE1 P T +SCRAPPING S K R AE1 P IH0 NG +SCRAPPY S K R AE1 P IY0 +SCRAPS S K R AE1 P S +SCRATCH S K R AE1 CH +SCRATCHED S K R AE1 CH T +SCRATCHES S K R AE1 CH AH0 Z +SCRATCHES(2) S K R AE1 CH IH0 Z +SCRATCHING S K R AE1 CH IH0 NG +SCRATCHY S K R AE1 CH IY0 +SCRAWL S K R AO1 L +SCRAWLED S K R AO1 L D +SCRAWNY S K R AO1 N IY0 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Z AH2 P +SCREWY S K R UW1 IY0 +SCRIBBLE S K R IH1 B AH0 L +SCRIBBLED S K R IH1 B AH0 L D +SCRIBBLER S K R IH1 B L ER0 +SCRIBBLERS S K R IH1 B L ER0 Z +SCRIBBLES S K R IH1 B AH0 L Z +SCRIBBLING S K R IH1 B AH0 L IH0 NG +SCRIBBLING(2) S K R IH1 B L IH0 NG +SCRIBE S K R AY1 B +SCRIBER S K R AY1 B ER0 +SCRIBES S K R AY1 B Z +SCRIBNER S K R IH1 B N ER0 +SCRIBNER'S S K R IH1 B N ER0 Z +SCRIBNERS S K R IH1 B N ER0 Z +SCRIMGEOUR S K R IH1 M G AO0 R +SCRIMMAGE S K R IH1 M IH0 JH +SCRIMP S K R IH1 M P +SCRIMPING S K R IH1 M P IH0 NG +SCRIMSHAW S K R IH1 M SH AO2 +SCRIP S K R IH1 P +SCRIPP S K R IH1 P +SCRIPP'S S K R IH1 P S +SCRIPPS S K R IH1 P S +SCRIPT S K R IH1 P T +SCRIPTED S K R IH1 P T IH0 D +SCRIPTS S K R IH1 P T S +SCRIPTS(2) S K R IH1 P S +SCRIPTURAL S K R IH1 P CH ER0 AH0 L +SCRIPTURE S K R IH1 P CH ER0 +SCRIPTURES S K R IH1 P CH ER0 Z +SCRIPTWRITER S K R IH1 P T R AY2 T ER0 +SCRIPTWRITERS S K R IH1 P T R AY2 T ER0 Z +SCRIPTWRITING S K R IH1 P T R AY2 T IH0 NG +SCRITCHFIELD S K R IH1 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S EH1 L M AH0 +SELMAN S EH1 L M AH0 N +SELMER S EH1 L M ER0 +SELMON S EH1 L M AH0 N +SELNER S EH1 L N ER0 +SELOVER S EH1 L AH0 V ER0 +SELOWSKY S EH0 L AW1 S K IY0 +SELPH S EH1 L F +SELSOR S EH1 L S ER0 +SELTZ S EH1 L T S +SELTZER S EH1 L T S ER0 +SELVA S EY1 L V AH0 +SELVAGE S EH1 L V IH0 JH +SELVAGGIO S EH0 L V AA1 JH IY0 OW0 +SELVES S EH1 L V Z +SELVEY S EH1 L V IY0 +SELVIDGE S EH1 L V IH0 JH +SELVIG S EH1 L V IH0 G +SELWAY S EH1 L W EY2 +SELWIN S EH1 L W IH0 N +SELWITZ S EH1 L W IH0 T S +SELWYN S EH1 L W IH0 N +SELZ S EH1 L Z +SELZER S EH1 L Z ER0 +SELZER'S S EH1 L Z ER0 Z +SEMA S IY1 M AH0 +SEMAN S IY1 M AH0 N +SEMANS S IY1 M AH0 N Z +SEMANTIC S IH0 M AE1 N T IH0 K +SEMANTICS S IH0 M AE1 N T IH0 K S +SEMATECH S EH1 M AH0 T EH2 K +SEMBER S EH1 M B ER0 +SEMBLANCE S EH1 M B L AH0 N S +SEMEGRAN S EH1 M AH0 G R AH0 N +SEMEL S EH1 M AH0 L +SEMELE S EH1 M AH0 L IY2 +SEMEN S IY1 M AH0 N +SEMENZA S EH0 M EH1 N Z AH0 +SEMERAD S EH1 M ER0 AE0 D +SEMESTER S AH0 M EH1 S T ER0 +SEMESTERS S AH0 M EH1 S T ER0 Z +SEMI S EH1 M IY0 +SEMI(2) S EH1 M AY0 +SEMI-COLON S EH1 M IY0 K OW1 L AH0 N +SEMI-COLON(2) S EH1 M AH0 K OW1 L AH0 N +SEMI-HEIGHT S EH1 M IY0 HH AY1 T +SEMI-HEIGHT(2) S EH1 M IH0 HH AY1 T +SEMI-HEIGHT(3) S EH1 M AY0 HH AY1 T +SEMI-HEIGHTS S EH1 M IY0 HH AY1 T S +SEMI-HEIGHTS(2) S EH1 M AY0 HH AY1 T S +SEMI-HEIGHTS(3) S EH1 M IH0 HH AY1 T S +SEMI-HUMAN S EH2 M IY0 HH Y UW1 M AH0 N +SEMIANNUAL S EH2 M IY0 AE1 N Y AH0 W AH0 L +SEMIANNUAL(2) S EH2 M AY0 AE1 N Y AH0 W AH0 L +SEMIANNUAL(3) S EH2 M AH0 AE1 N Y AH0 W AH0 L +SEMIANNUALLY S EH2 M IY0 AE1 N UW0 AH0 L IY0 +SEMIANNUALLY(2) S EH2 M AY0 AE1 N UW0 AH0 L IY0 +SEMIANNUALLY(3) S EH2 M IY0 AE1 N UW0 L IY0 +SEMIANNUALLY(4) S EH2 M AY0 AE1 N UW0 L IY0 +SEMIAUTOMATIC S EH2 M IY0 AO2 T AH0 M AE1 T IH0 K +SEMIAUTOMATIC(2) S EH2 M AY0 AO2 T AH0 M AE1 T IH0 K +SEMIAUTOMATIC(3) S EH2 M IH0 AO2 T AH0 M AE1 T IH0 K +SEMICIRCULAR S EH2 M IY0 S ER1 K Y AH0 L ER0 +SEMICIRCULAR(2) S EH2 M AY0 S ER1 K Y AH0 L ER0 +SEMICIRCULAR(3) S EH2 M AH0 S ER1 K Y AH0 L ER0 +SEMICLAD S EH1 M IY0 K L AE2 D +SEMICLAD(2) S EH1 M AY0 K L AE2 D +SEMICLAD(3) S EH1 M AH0 K L AE2 D +SEMICLASSICAL S EH2 M IY0 K L AE1 S IH0 K AH0 L +SEMICLASSICAL(2) S EH2 M IH0 K L AE1 S IH0 K AH0 L +SEMICLASSICAL(3) S EH2 M AY0 K L AE1 S IH0 K AH0 L +SEMICON S EH1 M IH0 K AA2 N +SEMICONDUCTOR S EH2 M IY0 K AH0 N D AH1 K T ER0 +SEMICONDUCTOR(2) S EH2 M IH0 K AH0 N D AH1 K T ER0 +SEMICONDUCTOR(3) S EH2 M AY0 K AH0 N D AH1 K T ER0 +SEMICONDUCTOR'S S EH2 M IY0 K AH0 N D AH1 K T ER0 Z +SEMICONDUCTOR'S(2) S EH2 M IH0 K AH0 N D AH1 K T ER0 Z +SEMICONDUCTOR'S(3) S EH2 M AY0 K AH0 N D AH1 K T ER0 Z +SEMICONDUCTORS S EH2 M IY0 K AH0 N D AH1 K T ER0 Z +SEMICONDUCTORS(2) S EH2 M IH0 K AH0 N D AH1 K T ER0 Z +SEMICONDUCTORS(3) S EH2 M AY0 K AH0 N D AH1 K T ER0 Z +SEMICYLINDRICAL S EH2 M IY0 S AH0 L IH1 N D R IH0 K AH0 L +SEMICYLINDRICAL(2) S EH2 M IH0 S AH0 L IH1 N D R IH0 K AH0 L +SEMICYLINDRICAL(3) S EH2 M AY0 S AH0 L IH1 N D R IH0 K AH0 L +SEMIDRY S EH2 M IY0 D R AY1 +SEMIDRY(2) S EH2 M IH0 D R AY1 +SEMIDRY(3) S EH2 M AY0 D R AY1 +SEMIDRYING S EH2 M IY0 D R AY1 IH0 NG +SEMIDRYING(2) S EH2 M IH0 D R AY1 IH0 NG +SEMIDRYING(3) S EH2 M AY0 D R AY1 IH0 NG +SEMIEN S EH1 M IY0 N +SEMIFINAL S EH2 M IY0 F AY1 N AH0 L +SEMIFINAL(2) S EH2 M IH0 F AY1 N AH0 L +SEMIFINAL(3) S EH2 M AY0 F AY1 N AH0 L +SEMIFINALIST S EH2 M IY0 F AY1 N AH0 L IH0 S T +SEMIFINALIST(2) S EH2 M IH0 F AY1 N AH0 L IH0 S T +SEMIFINALIST(3) S EH2 M AY0 F AY1 N AH0 L IH0 S T +SEMIFINALISTS S EH2 M IY0 F AY1 N AH0 L IH0 S T S +SEMIFINALISTS(2) S EH2 M IY0 F AY1 N AH0 L IH0 S +SEMIFINALISTS(3) S EH2 M AY0 F AY1 N AH0 L IH0 S T S +SEMIFINALISTS(4) S EH2 M AY0 F AY1 N AH0 L IH0 S +SEMIFINALS S EH2 M IY0 F AY1 N AH0 L Z +SEMIFINALS(2) S EH2 M IH0 F AY1 N AH0 L Z +SEMIFINALS(3) S EH2 M AY0 F AY1 N AH0 L Z +SEMIFINISH S EH2 M IY0 F IH1 N IH0 SH +SEMIFINISH(2) S EH2 M AY0 F IH1 N IH0 SH +SEMIFINISH(3) S EH2 M IH0 F IH1 N IH0 SH +SEMIFINISHED S EH2 M IY0 F IH1 N IH0 SH T +SEMIFINISHED(2) S EH2 M AY0 F IH1 N IH0 SH T +SEMIFINISHED(3) S EH2 M IH0 F IH1 N IH0 SH T +SEMIGLOSS S EH2 M IY0 G L AA1 S +SEMIGLOSS(2) S EH2 M IH0 G L AA1 S +SEMILEGENDARY S EH2 M IY0 L EH1 JH AH0 N D EH2 R IY0 +SEMILEGENDARY(2) S EH2 M IH0 L EH1 JH AH0 N D EH2 R IY0 +SEMINAL S EH1 M AH0 N AH0 L +SEMINAR S EH1 M AH0 N AA2 R +SEMINARA S EH2 M IH0 N AA1 R AH0 +SEMINARIAN S EH2 M AH0 N EH1 R IY0 AH0 N +SEMINARIANS S EH2 M AH0 N EH1 R IY0 AH0 N Z +SEMINARIES S EH1 M AH0 N EH2 R IY0 Z +SEMINARIO S EH2 M IH0 N EH1 R IY0 OW0 +SEMINARS S EH1 M AH0 N AA2 R Z +SEMINARY S EH1 M AH0 N EH2 R IY0 +SEMINOLE S EH1 M IH0 N OW2 L +SEMINOLES S EH1 M IH0 N OW2 L Z +SEMIONENKOV S EH2 M IY0 OW0 N EH1 NG K AA0 V +SEMIOTIC S EH2 M IY0 AA1 T IH0 K +SEMIOTICS S EH2 M IY0 AA1 T IH0 K S +SEMIPERMANENT S EH2 M IY0 P ER1 M AH0 N AH0 N T +SEMIPERMANENT(2) S EH2 M IH0 P ER1 M AH0 N AH0 N T +SEMIPERMANENT(3) S EH2 M AY0 P ER1 M AH0 N AH0 N T +SEMIPRECIOUS S EH2 M IY0 P R EH1 SH AH0 S +SEMIPRECIOUS(2) S EH2 M IH0 P R EH1 SH AH0 S +SEMIPRECIOUS(3) S EH2 M AY0 P R EH1 SH AH0 S +SEMIRA S EH0 M IH1 R AH0 +SEMIRELIGIOUS S EH2 M IY0 R IH0 L IH1 JH AH0 S +SEMIRELIGIOUS(2) S EH2 M IH0 R IH0 L IH1 JH AH0 S +SEMIRELIGIOUS(3) S EH2 M AY0 R IH0 L IH1 JH AH0 S +SEMIS S EH1 M AY0 Z +SEMISECRECY S EH2 M IY0 S IY1 K R AH0 S IY0 +SEMISECRECY(2) S EH2 M IH0 S IY1 K R AH0 S IY0 +SEMITE S EH1 M AY0 T +SEMITIC S AH0 M IH1 T IH0 K +SEMITISM S EH1 M IH0 T IH2 Z AH0 M +SEMITRAILER S EH2 M IY0 T R EY1 L ER0 +SEMITRAILER(2) S EH2 M IH0 T R EY1 L ER0 +SEMITROPICAL S EH2 M IY0 T R AA1 P IH0 K AH0 L +SEMITROPICAL(2) S EH2 M IH0 T R AA1 P IH0 K AH0 L +SEMITROPICAL(3) S EH2 M AY0 T R AA1 P IH0 K AH0 L +SEMLER S EH1 M L ER0 +SEMMEL S EH1 M AH0 L +SEMMENS S EH1 M AH0 N Z +SEMMES S EH1 M Z +SEMMLER S EH1 M L ER0 +SEMOLINA S EH2 M AH0 L IY1 N AH0 +SEMON S EH1 M AH0 N +SEMONES S EY0 M OW1 N EH0 S +SEMPLE S EH1 M P AH0 L +SEMRAD S EH1 M R AH0 D +SEMRAU S EH1 M R AW0 +SEMROW S EH1 M R OW0 +SEMTEX S EH1 M T EH0 K S +SEN S EH1 N +SENA S EH1 N AH0 +SENATE S EH1 N AH0 T +SENATE(2) S EH1 N IH0 T +SENATE'S S EH1 N IH0 T S +SENATOR S EH1 N AH0 T ER0 +SENATOR'S S EH1 N AH0 T ER0 Z +SENATORE S EH0 N AA0 T AO1 R IY0 +SENATORIAL S EH2 N AH0 T AO1 R IY0 AH0 L +SENATORS S EH1 N AH0 T ER0 Z +SENATORS' S EH1 N AH0 T ER0 Z +SEND S EH1 N D +SENDAK S EH1 N D AE0 K +SENDAWAL S EH0 N D AA1 W AH0 L +SENDELBACH S EH1 N D IH0 L B AA0 K +SENDER S EH1 N D ER0 +SENDERO S EH0 N D EH1 R OW0 +SENDERS S EH1 N D ER0 Z +SENDING S EH1 N D IH0 NG +SENDO S EH1 N D OW0 +SENDS S EH1 N D Z +SENECA S EH1 N AH0 K AH0 +SENECAL S EH1 N IH0 K AH0 L +SENECHAL S EH1 N IH0 K AH0 L +SENEFF S EH1 N AH0 F +SENEGAL S EH2 N AH0 G AO1 L +SENEGALESE S EH2 N AH0 G AH0 L IY1 Z +SENEGAMBIA S EH2 N AH0 G AE1 M B IY0 AH0 +SENEKER S EH1 N AH0 K ER0 +SENESAC S EH1 N IH0 S AE0 K +SENESCENCE S AH0 N EH1 S AH0 N S +SENESE S EH1 N IY0 Z +SENEY S EH1 N IY0 +SENF S EH1 N F +SENFF S EH1 N F +SENFT S EH1 N F T +SENG S EH1 NG +SENGER S EH1 NG ER0 +SENGERS S EH1 NG ER0 Z +SENILE S IY1 N AY2 L +SENILITY S AH0 N IH1 L AH0 T IY0 +SENIOR S IY1 N Y ER0 +SENIORITY S IY0 N Y AO1 R IH0 T IY0 +SENIORNET S IY1 N Y ER0 N EH2 T +SENIORS S IY1 N Y ER0 Z +SENK S EH1 NG K +SENKBEIL S EH1 NG K B AY2 L +SENKO S EH1 NG K OW0 +SENN S EH1 N +SENNA S EH1 N AH0 +SENNE S EH1 N +SENNER S EH1 N ER0 +SENNET S EH1 N AH0 T +SENNETT S EH1 N IH0 T +SENNOTT S EH1 N AH0 T +SENOR S IY2 N Y AO1 R +SENORA S IY2 N Y AO1 R AH0 +SENS S EH1 N Z +SENSABAUGH S EH1 N S AH0 B AO2 +SENSATION S EH0 N S EY1 SH AH0 N +SENSATIONAL S EH0 N S EY1 SH AH0 N AH0 L +SENSATIONALISM S EH0 N S EY1 SH AH0 N AH0 L IH2 Z AH0 M +SENSATIONALIST S EH0 N S EY1 SH AH0 N AH0 L IH0 S T +SENSATIONALISTIC S EH0 N S EY2 SH AH0 N AH0 L IH1 S T IH0 K +SENSATIONALIZE S EH0 N S EY2 SH AH0 N AH0 L AY1 Z +SENSATIONALIZED S EH0 N S EY2 SH AH0 N AH0 L AY1 Z D +SENSATIONALIZES S EH0 N S EY2 SH AH0 N AH0 L AY1 Z IH0 Z +SENSATIONALIZING S EH0 N S EY2 SH AH0 N AH0 L AY1 Z IH0 NG +SENSATIONS S EH0 N S EY1 SH AH0 N Z +SENSE S EH1 N S +SENSE-DATA S EH1 N S D EY2 T AH0 +SENSE-DATA(2) S EH1 N S D AE2 T AH0 +SENSE-DATAS S EH1 N S D EY1 T AH0 Z +SENSE-DATAS(2) S EH1 N S D AE1 T AH0 Z +SENSE-DATUM S EH1 N S D AE1 T AH0 M +SENSE-DATUM(2) S EH1 N S D EY1 T AH0 M +SENSED S EH1 N S T +SENSEI S EH1 N S EY2 +SENSELESS S EH1 N S L AH0 S +SENSENBRENNER S EH1 N S AH0 N B R EH2 N ER0 +SENSENEY S EH1 N S IH0 N IY0 +SENSENIG S EH1 N S IH0 N IH0 G +SENSES S EH1 N S IH0 Z +SENSIBILITIES S EH2 N S IH0 B IH1 L IH0 T IY0 Z +SENSIBILITY S EH2 N S IH0 B IH1 L IH0 T IY0 +SENSIBLE S EH1 N S AH0 B AH0 L +SENSIBLY S EH1 N S AH0 B L IY0 +SENSING S EH1 N S IH0 NG +SENSITIVE S EH1 N S AH0 T IH0 V +SENSITIVE(2) S EH1 N S IH0 T IH0 V +SENSITIVELY S EH1 N S IH0 T IH0 V L IY0 +SENSITIVENESS S EH1 N S AH0 T IH0 V N AH0 S +SENSITIVITIES S EH2 N S IH0 T IH1 V IH0 T IY0 Z +SENSITIVITY S EH2 N S IH0 T IH1 V IH0 T IY0 +SENSITIZE S EH1 N S AH0 T AY2 Z +SENSITIZED S EH1 N S AH0 T AY2 Z D +SENSKE S EH1 N S K +SENSOR S EH1 N S ER0 +SENSOR'S S EH1 N S ER0 Z +SENSORMATIC S EH2 N S ER0 M AE1 T IH0 K +SENSORS S EH1 N S ER0 Z +SENSORY S EH1 N S ER0 IY0 +SENSUAL S EH1 N SH AH0 W AH0 L +SENSUALITY S EH2 N SH UW2 AE1 L AH0 T IY2 +SENSUOUS S EH1 N SH AH0 W AH0 S +SENT S EH1 N T +SENTELL S EH1 N T AH0 L +SENTELLE S EH0 N T EH1 L +SENTENCE S EH1 N T AH0 N S +SENTENCED S EH1 N T AH0 N S T +SENTENCES S EH1 N T AH0 N S AH0 Z +SENTENCES(2) S EH1 N T AH0 N S IH0 Z +SENTENCING S EH1 N T AH0 N S IH0 NG +SENTER S EH1 N T ER0 +SENTERS S EH1 N T ER0 Z +SENTIMENT S EH1 N T AH0 M AH0 N T +SENTIMENT(2) S EH1 N AH0 M AH0 N T +SENTIMENTAL S EH2 N T AH0 M EH1 N T AH0 L +SENTIMENTAL(2) S EH2 N AH0 M EH1 N T AH0 L +SENTIMENTAL(3) S EH2 N T AH0 M EH1 N AH0 L +SENTIMENTAL(4) S EH2 N AH0 M EH1 N AH0 L +SENTIMENTALITY S EH2 N T AH0 M EH0 N T AE1 L IH0 T IY0 +SENTIMENTALITY(2) S EH2 N AH0 M EH0 N T AE1 L IH0 T IY0 +SENTIMENTS S EH1 N T AH0 M AH0 N T S +SENTIMENTS(2) S EH1 N AH0 M AH0 N T S +SENTINEL S EH1 N T AH0 N AH0 L +SENTINELS S EH1 N T AH0 N AH0 L Z +SENTMAN S EH1 N T M AH0 N +SENTRA S EH1 N T R AH0 +SENTRAS S EH1 N T R AH0 S +SENTRIES S EH1 N T R IY0 Z +SENTRY S EH1 N T R IY0 +SENTY S EH1 N T IY0 +SENTZ S EH1 N T S +SENZAKI S EY0 N Z AA1 K IY0 +SEO S IY1 OW0 +SEO(2) S EY1 OW0 +SEOUL S OW1 L +SEOUL'S S OW1 L Z +SEOW S IY1 OW0 +SEOW(2) S IY1 AW0 +SEOW'S S IY1 OW2 Z +SEP S EH1 P +SEP(2) EH1 S IY1 P IY1 +SEPARATE S EH1 P ER0 EY2 T +SEPARATE(2) S EH1 P ER0 IH0 T +SEPARATE(3) S EH1 P R AH0 T +SEPARATED S EH1 P ER0 EY2 T IH0 D +SEPARATELY S EH1 P ER0 AH0 T L IY0 +SEPARATELY(2) S EH1 P R AH0 T L IY0 +SEPARATENESS S EH1 P ER0 AH0 T N AH0 S +SEPARATES S EH1 P ER0 EY2 T S +SEPARATES(2) S EH1 P ER0 IH0 T S +SEPARATING S EH1 P ER0 EY2 T IH0 NG +SEPARATION S EH2 P ER0 EY1 SH AH0 N +SEPARATIONS S EH2 P ER0 EY1 SH AH0 N Z +SEPARATISM S EH1 P ER0 AH0 T IH2 Z AH0 M +SEPARATIST S EH1 P ER0 AH0 T IH0 S T +SEPARATISTS S EH1 P ER0 AH0 T IH0 S T S +SEPARATISTS(2) S EH1 P R AH0 T IH0 S T S +SEPARATOR S EH1 P AH0 R EY2 T ER0 +SEPARATORS S EH1 P AH0 R EY2 T ER0 Z +SEPE S IY1 P +SEPEDA S EY0 P EY1 D AH0 +SEPHARDIC S AH0 F AA1 R D IH0 K +SEPHARDIM S IH0 F AA1 R D IH0 M +SEPHARDIM(2) S EH0 F AA2 R D IY1 M +SEPHLON S EH1 F L AO0 N +SEPHLON'S S EH1 F L AO0 N Z +SEPHORA S EH0 F AO1 R AH0 +SEPIA S IY1 P IY0 AH0 +SEPICH S EH1 P IH0 CH +SEPIK S EH1 P IH0 K +SEPP S EH1 P +SEPPALA S EH0 P AA1 L AH0 +SEPPI S EH1 P IY0 +SEPSIS S EH1 P S IH0 S +SEPT S EH1 P T +SEPTA S EH1 P T AH0 +SEPTEMBER S EH0 P T EH1 M B ER0 +SEPTEMBER'S S EH0 P T EH1 M B ER0 Z +SEPTER S EH1 P T ER0 +SEPTIC S EH1 P T IH0 K +SEPTIMA S EH0 P T IY1 M AH0 +SEPTIMUS S EH1 P T IH0 M IH0 S +SEPTUAGENARIAN S EH0 P CH UW2 AH0 JH AH0 N EH1 R IY0 AH0 N +SEPULVADO S EY0 P UW0 L V AA1 D OW0 +SEPULVEDA S EY0 P UW0 L V EY1 D AH0 +SEQUA S EH1 K W AH0 +SEQUA'S S EH1 K W AH0 Z +SEQUEIRA S EY0 K W EH1 R AH0 +SEQUEL S IY1 K W AH0 L +SEQUELS S IY1 K W AH0 L Z +SEQUENCE S IY1 K W AH0 N S +SEQUENCES S IY1 K W AH0 N S AH0 Z +SEQUENCES(2) S IY1 K W AH0 N S IH0 Z +SEQUENCING S IY1 K W AH0 N S IH0 NG +SEQUENT S IY1 K W AH0 N T +SEQUENTIAL S AH0 K W EH1 N SH AH0 L +SEQUENTIALLY S AH0 K W EH1 N SH AH0 L IY0 +SEQUESTER S IH0 K W EH1 S T ER0 +SEQUESTERED S IH0 K W EH1 S T ER0 D +SEQUESTERING S IH0 K W EH1 S T ER0 IH0 NG +SEQUESTERS S IH0 K W EH1 S T ER0 Z +SEQUESTRATION S EH2 K W AH0 S T R EY1 SH AH0 N +SEQUIN S IY1 K W AH0 N +SEQUIN(2) S IY1 K W IH0 N +SEQUINED S IY1 K W AH0 N D +SEQUINS S IY1 K W AH0 N Z +SEQUINS(2) S IY1 K W IH0 N Z +SEQUITUR S EH1 K W IH0 T ER0 +SEQUITURS S EH1 K W IH0 T ER0 Z +SEQUOIA S IH0 K W OY1 AH0 +SEQUOIAS S IH0 K W OY1 AH0 Z +SEQUOYAH S AH0 K W OY1 AH0 +SERA S IH1 R AH0 +SERAFIN S EH1 R AH0 F IH0 N +SERAFINA S ER0 AA0 F IY1 N AH0 +SERAFINE S ER0 AA0 F IY1 N IY0 +SERAFINI S ER0 AA0 F IY1 N IY0 +SERAFINO S ER0 AA0 F IY1 N OW0 +SERAGUT S EH1 R AH0 G AH2 T +SERAPHIM S ER2 AA0 F IY1 M +SERAPHINA S ER0 AA0 F IY1 N AH0 +SERAPHINE S ER0 AA0 F IY1 N IY0 +SERATONIN S ER0 AA0 T OW1 N IH0 N +SERATTI S EH0 R AA1 T IY0 +SERAW S ER0 AA1 +SERB S ER1 B +SERB'S S ER1 B Z +SERBAINE S ER0 B EY1 N +SERBIA S ER1 B IY0 AH0 +SERBIA'S S ER1 B IY0 AH0 Z +SERBIAN S ER1 B IY0 AH0 N +SERBIAN'S S ER1 B IY0 AH0 N Z +SERBIANS S ER1 B IY0 AH0 N Z +SERBIAS S ER1 B IY0 AH0 Z +SERBIN S ER1 B IH0 N +SERBO-CROATIA S ER1 B OW0 K R OW2 EY0 SH AH0 +SERBO-CROATIAN S ER1 B OW0 K R OW2 EY0 SH AH0 N +SERBS S ER1 B Z +SERBS' S ER1 B Z +SERBSKA S ER1 B S K AH0 +SERCO S ER1 K OW0 +SERDA S EH1 R D AH0 +SERE S IH1 R +SERENA S AH0 R IY1 N AH0 +SERENA'S S AH0 R IY1 N AH0 Z +SERENADE S EH2 R AH0 N EY1 D +SERENADED S EH2 R AH0 N EY1 D IH0 D +SERENADING S EH2 R AH0 N EY1 D IH0 NG +SERENDIPITOUS S EH2 R AH0 N D IH1 P IH0 T AH0 S +SERENDIPITY S EH2 R AH0 N D IH1 P IH0 T IY0 +SERENE S ER0 IY1 N +SERENELY S ER0 IY1 N AH0 L IY0 +SERENELY(2) S ER0 IY1 N L IY0 +SERENGETI S EH2 R AH0 N G EH1 T IY0 +SERENITY S ER0 EH1 N AH0 T IY0 +SERENO S EH0 R EY1 N OW0 +SERES S IY1 R Z +SEREX S EH1 R AH0 K S +SERF S ER1 F +SERFASS S ER1 F AE2 S +SERFIN S ER1 F IH0 N +SERFIN(2) S EH1 R F IH0 N +SERFLING S ER1 F L IH0 NG +SERFS S ER1 F S +SERGE S ER1 JH +SERGEANT S AA1 R JH AH0 N T +SERGEANTS S AA1 R JH AH0 N T S +SERGEI S ER0 G EY1 +SERGEI(2) S EH1 R G EY2 +SERGENT S ER1 JH AH0 N T +SERGEY S EH1 R JH IY0 +SERGEY(2) S EH1 R G EY0 +SERGI S EH1 R JH IY0 +SERGIO S ER1 JH Y OW2 +SERGIUS S ER1 JH Y AH0 S +SERIA S IH1 R IY0 AH0 +SERIAL S IH1 R IY2 AH0 L +SERIALIZE S IH1 R IY2 AH0 L AY2 Z +SERIALIZED S IH1 R IY2 AH0 L AY2 Z D +SERIALS S IH1 R IY0 AH0 L Z +SERIES S IH1 R IY0 Z +SERIES' S IH1 R IY0 Z +SERILDA S ER0 IY1 L D AH0 +SERINO S ER0 IY1 N OW0 +SERIO S IY1 R IY0 OW0 +SERIOUS S IH1 R IY0 AH0 S +SERIOUSLY S IH1 R IY0 AH0 S L IY0 +SERIOUSNESS S IH1 R IY0 AH0 S N AH0 S +SERLE S ER1 AH0 L +SERLIN S ER1 L IH0 N +SERLING S ER1 L IH0 NG +SERLO S EH1 R L OW0 +SERMERSHEIM S ER1 M ER0 S HH AY0 M +SERMON S ER1 M AH0 N +SERMONS S ER1 M AH0 N Z +SERNA S EH1 R N AH0 +SEROKA S EH0 R OW1 K AH0 +SEROLOGICAL S EH0 R AH0 L AO1 JH IH0 K AH0 L +SEROLOGIST S EH0 R AA1 L AH0 JH IH0 S T +SEROLOGY S EH0 R AA1 L AH0 JH IY0 +SERONO S EH2 R AA1 N OW0 +SEROTA S ER0 OW1 T AH0 +SEROTONIN S ER0 AH0 T OW1 N IH0 N +SEROWSKI S ER0 AW1 S K IY0 +SERPA S EH1 R P AH0 +SERPAS S ER1 P AH0 Z +SERPE S ER1 P +SERPENT S ER1 P AH0 N T +SERPENT'S S ER1 P AH0 N T S +SERPENTINE S ER1 P AH0 N T AY2 N +SERPENTS S ER1 P AH0 N T S +SERPICO S ER0 P IY1 K OW0 +SERR S EH1 R +SERRA S EH1 R AH0 +SERRA'S S EH1 R AH0 Z +SERRANO S ER0 AA1 N OW0 +SERRANO(2) S ER0 AE1 N OW0 +SERRANO'S S ER0 AA1 N OW0 Z +SERRANO'S(2) S ER0 AE1 N OW0 Z +SERRANTO S ER0 AA1 N T OW0 +SERRAO S EH1 R AW0 +SERRATE S EH1 R EY2 T +SERRATED S EH1 R EY2 T IH0 D +SERRATO S ER0 AA1 T OW0 +SERRATORE S ER0 AA0 T AO1 R IY0 +SERRES S EH1 R EH0 S +SERRITELLA S EH2 R IH0 T EH1 L AH0 +SERTICH S ER1 T IH0 K +SERUM S IH1 R AH0 M +SERV S ER1 V +SERVAAS S ER1 V AA0 S +SERVAIS S ER0 V EY1 +SERVAM S ER1 V AH0 M +SERVAN S ER1 V AH0 N +SERVANT S ER1 V AH0 N T +SERVANTS S ER1 V AH0 N T S +SERVANTS' S ER1 V AH0 N T S +SERVE S ER1 V +SERVED S ER1 V D +SERVELLO S ER0 V EH1 L OW0 +SERVER S ER1 V ER0 +SERVERS S ER1 V ER0 Z +SERVES S ER1 V Z +SERVICE S ER1 V AH0 S +SERVICE(2) S ER1 V IH0 S +SERVICE'S S ER1 V IH0 S IH0 Z +SERVICEABLE S ER1 V AH0 S AH0 B AH0 L +SERVICED S ER1 V IH0 S T +SERVICEMAN S ER1 V AH0 S M AE2 N +SERVICEMASTER S ER1 V IH0 S M AE2 S T ER0 +SERVICEMEN S ER1 V AH0 S M EH0 N +SERVICEMEN'S S ER1 V IH0 S M EH0 N Z +SERVICER S ER1 V IH0 S ER0 +SERVICES S ER1 V AH0 S AH0 Z +SERVICES(2) S ER1 V IH0 S IH0 Z +SERVICES' S ER1 V IH0 S IH0 Z +SERVICES'(2) S ER1 V AH0 S AH0 Z +SERVICING S ER1 V IH0 S IH0 NG +SERVICO S ER1 V IH0 K OW2 +SERVIDIO S ER0 V IY1 D IY0 OW0 +SERVILE S ER1 V AH0 L +SERVILITY S ER1 V IH0 L AH0 T IY2 +SERVIN S ER1 V IH0 N +SERVING S ER1 V IH0 NG +SERVINGS S ER1 V IH0 NG Z +SERVIOU S ER1 V IY0 UW0 +SERVIS S ER1 V IH0 S +SERVISS S ER1 V IH0 S +SERVITUDE S ER1 V AH0 T UW2 D +SERVO S ER1 V OW0 +SESAME S EH1 S AH0 M IY0 +SESDAQ S EH1 S D AE0 K +SESE S IY1 S IY0 +SESHADRI S EH0 SH AA1 D R IY0 +SESIT S EH1 Z IH0 T +SESKAR S EH1 S K AA2 R +SESKAR'S S EH1 S K AA2 R Z +SESLER S EH1 S AH0 L ER0 +SESLER(2) S EH1 S L ER0 +SESNO S EH1 S N OW2 +SESNO'S S EH1 S N OW2 Z +SESSA S EH1 S AH0 +SESSION S EH1 SH AH0 N +SESSION'S S EH1 SH AH0 N Z +SESSIONS S EH1 SH AH0 N Z +SESSIONS' S EH1 SH AH0 N Z +SESSLER S EH1 S L ER0 +SESSOMS S EH1 S AH0 M Z +SESSUMS S EH1 S AH0 M Z +SESTAK S EH1 S T AH0 K +SESTANOVICH S EH0 S T AE1 N AH0 V IH0 CH +SESTITO S EH0 S T IY1 T OW0 +SET S EH1 T +SET-UP S EH1 T AH2 P +SET-UPS S EH1 T AH2 P S +SETARO S EH0 T AA1 R OW0 +SETBACK S EH1 T B AE2 K +SETBACKS S EH1 T B AE2 K S +SETH S EH1 TH +SETH'S S EH1 TH S +SETHER S EH1 DH ER0 +SETHI S EH1 TH IY0 +SETHNESS S EH1 TH N AH0 S +SETHURAMAN S EH2 TH ER0 AA1 M AA0 N +SETI S EH1 T IY2 +SETLIFF S EH1 T L IH0 F +SETO S EH1 T OW0 +SETON S IY1 T AH0 N +SETS S EH1 T S +SETSER S EH1 T S ER0 +SETTANNI S EH0 T AA1 N IY0 +SETTE S EH1 T +SETTER S EH1 T ER0 +SETTERLUND S EH1 T ER0 L AH0 N D +SETTERS S EH1 T ER0 Z +SETTING S EH1 T IH0 NG +SETTINGS S EH1 T IH0 NG Z +SETTLE S EH1 T AH0 L +SETTLED S EH1 T AH0 L D +SETTLEMENT S EH1 T AH0 L M AH0 N T +SETTLEMENT'S S EH1 T AH0 L M AH0 N T S +SETTLEMENTS S EH1 T AH0 L M AH0 N T S +SETTLEMIRE S EH1 T AH0 L M AY2 R +SETTLEMYRE S EH1 T AH0 L M AY2 R +SETTLER S EH1 T AH0 L ER0 +SETTLER(2) S EH1 T L ER0 +SETTLERS S EH1 T L ER0 Z +SETTLERS(2) S EH1 T AH0 L ER0 Z +SETTLERS' S EH1 T L ER0 Z +SETTLES S EH1 T AH0 L Z +SETTLING S EH1 T AH0 L IH0 NG +SETTLING(2) S EH1 T L IH0 NG +SETTSU S EH1 T S UW0 +SETTY S EH1 T IY0 +SETUP S EH1 T AH2 P +SETUPS S EH1 T AH2 P S +SETZER S EH1 T Z ER0 +SETZLER S EH1 T S L ER0 +SEUBERT S UW1 B ER0 T +SEUFERT S UW1 F ER0 T +SEUSS S UW1 S +SEVAREID S EH1 V AH0 R AY2 D +SEVASTOPOL S EH2 V AH0 S T AO1 P AH0 L +SEVCIK S EH1 V S IH0 K +SEVE S EH1 V EY0 +SEVEN S EH1 V AH0 N +SEVEN'S S EH1 V AH0 N Z +SEVENFOLD S EH1 V AH0 N F OW2 L D +SEVENS S EH1 V AH0 N Z +SEVENTEEN S EH1 V AH0 N T IY1 N +SEVENTEENS S EH1 V AH0 N T IY2 N Z +SEVENTEENTH S EH1 V AH0 N T IY1 N TH +SEVENTH S EH1 V AH0 N TH +SEVENTHS S EH1 V AH0 N TH S +SEVENTIES S EH1 V AH0 N T IY0 Z 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EH2 K SH UW0 AE1 L AH0 T IY0 +SEXUALLY S EH1 K SH UW0 AH0 L IY0 +SEXY S EH1 K S IY0 +SEYBERT S EY1 B ER0 T +SEYBOLD S EY1 B OW2 L D +SEYCHELLES S EY1 SH EH0 L Z +SEYDEL S EY1 D AH0 L +SEYDOUX S EY2 D UW1 +SEYER S EY1 ER0 +SEYFARTH S EY1 F AA2 R TH +SEYFERT S EY1 F ER0 T +SEYFRIED S EY1 F ER0 IY0 D +SEYI S EY1 IY0 +SEYLER S EY1 L ER0 +SEYLLER S EY1 L ER0 +SEYMORE S IY1 M AO0 R +SEYMOUR S IY1 M AO0 R +SEYMOUR'S S IY1 M AO0 R Z +SFERNICE S F ER1 N IH0 S +SFERNICE(2) S AH0 F ER1 N IH0 S +SFERRA S F EH1 R AH0 +SFERRAZZA S F ER0 AA1 T S AH0 +SFFED S F EH1 D +SFFED(2) EH1 S EH2 F EH1 D +SFFED(3) EH1 S EH1 F EH1 F IY1 D IY1 +SFORZA S F AO1 R Z AH0 +SFUZZI S F UW1 T Z IY0 +SGAMBATI S K AA0 M B AA1 T IY0 +SGRO S K R OW1 +SGROI S K R OY1 +SGT S AA1 R JH AH0 N T +SH SH +SHA SH AA1 +SHA'ATH SH AA1 TH +SHAAK SH AA1 K +SHAANXI SH AA1 NG K S IY0 +SHAATH SH AA1 TH +SHAATH'S SH AA1 TH S +SHABAD SH AH0 B AE1 D +SHABAZZ SH AA1 B AA0 Z +SHABAZZ'S SH AA1 B AA0 Z IH0 Z +SHABBY SH AE1 B IY0 +SHABER SH EY1 B ER0 +SHACK SH AE1 K +SHACKELFORD SH AE1 K IH0 L F ER0 D +SHACKELTON SH AH0 K EH1 L T AH0 N +SHACKETT SH AE1 K IH0 T +SHACKLE SH AE1 K AH0 L +SHACKLED SH AE1 K AH0 L D +SHACKLEFORD SH AE1 K AH0 L F ER0 D +SHACKLES SH AE1 K AH0 L Z +SHACKLETON SH AE1 K AH0 L T AH0 N +SHACKLETON'S SH AE1 K AH0 L T AH0 N Z +SHACKLETONS SH AE1 K AH0 L T AH0 N Z +SHACKLETT SH AE1 K L IH0 T +SHACKS SH AE1 K S +SHAD SH AE1 D +SHAD'S SH AE1 D Z +SHADBUSH SH AE1 D B UH2 SH +SHADD SH AE1 D +SHADDEN SH AE1 D AH0 N +SHADDIX SH AE1 D IH0 K S +SHADDOCK SH AE1 D AH0 K +SHADDUCK SH AE1 D AH0 K +SHADE SH EY1 D +SHADED SH EY1 D IH0 D +SHADEGG SH AE1 D EH0 G +SHADEL SH AE1 D AH0 L +SHADER SH EY1 D ER0 +SHADES SH EY1 D Z +SHADID SH AE1 D IH0 D +SHADING SH EY1 D IH0 NG +SHADINGS SH EY1 D IH0 NG Z +SHADLE SH EY1 D AH0 L +SHADLEY SH AE1 D L IY0 +SHADOAN SH AE1 D OW0 N +SHADOW SH AE1 D OW2 +SHADOWED SH AE1 D OW0 D +SHADOWENS SH AE1 D OW0 AH0 N Z +SHADOWING SH AE1 D OW0 IH0 NG +SHADOWLAND SH AE1 D OW0 L AE2 N D +SHADOWLANDS SH 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+SHALLOWER SH AE1 L OW0 ER0 +SHALLOWNESS SH AE1 L OW0 N AH0 S +SHALNEV SH AA1 L N EH0 V +SHALNEV(2) SH AA1 L N EH0 F +SHALOM SH AH0 L OW1 M +SHALT SH AE1 L T +SHAM SH AE1 M +SHAMALIA SH AH0 M AA1 L Y AH0 +SHAMALIA(2) SH AH0 M EY1 L Y AH0 +SHAMAN SH EY1 M AH0 N +SHAMANISM SH EY1 M AH0 N IH2 Z M +SHAMANISTS SH EY1 M AH0 N IH2 S T S +SHAMANS SH EY1 M AH0 N Z +SHAMAS SH AE1 M AH0 S +SHAMBAUGH SH AE1 M B AO2 +SHAMBERGER SH AE1 M B ER0 G ER0 +SHAMBLE SH AE1 M B AH0 L +SHAMBLES SH AE1 M B AH0 L Z +SHAMBLEY SH AE1 M B L IY0 +SHAMBLIN SH AE1 M B L IH0 N +SHAMBO SH AE1 M B OW0 +SHAMBURG SH AE1 M B ER0 G +SHAMBURGER SH AE1 M B ER0 G ER0 +SHAME SH EY1 M +SHAMED SH EY1 M D +SHAMEFUL SH EY1 M F AH0 L +SHAMEL SH AE1 M AH0 L +SHAMELESS SH EY1 M L AH0 S +SHAMELESSLY SH EY1 M L AH0 S L IY0 +SHAMELLE SH AH0 M EH1 L +SHAMES SH EY1 M Z +SHAMING SH EY1 M IH0 NG +SHAMIR SH AH0 M IH1 R +SHAMIR'S SH AH0 M IH1 R Z +SHAMMOND SH AE1 M AH0 N D +SHAMP SH AE1 M P +SHAMPINE SH AE1 M P AY2 N +SHAMPOO SH AE0 M P UW1 +SHAMPOOED SH AE0 M P UW1 D +SHAMPOOS SH AE0 M P UW1 Z +SHAMROCK SH AE1 M R AA2 K +SHAMROCK'S SH AE1 M R AA2 K S +SHAMU SH AA0 M UW1 +SHAMUS SH EY1 M AH0 S +SHAN SH AE1 N +SHANA SH AE1 N AH0 +SHANA(2) SH EY1 N AH0 +SHANAFELT SH AE1 N AH0 F EH2 L T +SHANAHAN SH AE1 N AH0 HH AE0 N +SHANANSKY SH AH0 N AE1 N S K IY0 +SHAND SH AE1 N D +SHANDLING SH AE1 N D L IH0 NG +SHANDONG SH AA2 N D OW1 NG +SHANDS SH AE1 N D Z +SHANDWICK SH AE1 N D W IH2 K +SHANDWICK'S SH AE1 N D W IH2 K S +SHANDY SH AE1 N D IY0 +SHANE SH EY1 N +SHANER SH EY1 N ER0 +SHANEYFELT SH AE1 N IY0 F EH0 L T +SHANGHAI SH AE1 NG HH AY1 +SHANGHAI'S SH AE1 NG HH AY1 Z +SHANGKUN SH AE1 NG K AH0 N +SHANGRI SH AE1 NG G R IY0 +SHANHOLTZ SH AE1 N HH OW2 L T S +SHANHOLTZER SH AE1 N HH OW0 L T Z ER0 +SHANK SH AE1 NG K +SHANKAR SH AE1 NG K AA0 R +SHANKEL SH AE1 NG K AH0 L +SHANKEN SH AE1 NG K AH0 N +SHANKER SH AE1 NG K ER0 +SHANKLAND SH AE1 NG K L AH0 N D +SHANKLE SH AE1 NG K AH0 L +SHANKLES SH AE1 NG K AH0 L Z +SHANKLIN SH AE1 NG K L IH0 N +SHANKMAN SH AE1 NG K M AH0 N +SHANKS SH AE1 NG K S +SHANLEY SH AE1 N L IY0 +SHANNA SH AE1 N AH0 +SHANNAHAN SH AE1 N AH0 HH AE0 N +SHANNON SH AE1 N AH0 N +SHANNON'S SH AE1 N AH0 N Z +SHANSEV SH AE1 N S EH0 V +SHANSEV(2) SH AE1 N S EH0 F +SHANT SH AA1 N T +SHANTI SH AE1 N T IY0 +SHANTIES SH AE1 N T IY0 Z +SHANTY SH AE1 N T IY0 +SHANTYTOWN SH AE1 N T IY0 T AW2 N +SHANTYTOWNS SH AE1 N T IY0 T AW2 N Z +SHANTZ SH AE1 N T S +SHAO SH AW1 +SHAOLIN SH AA1 OW0 L IH2 N +SHAP SH AE1 P +SHAPE SH EY1 P +SHAPED SH EY1 P T +SHAPELESS SH EY1 P L AH0 S +SHAPELY SH EY1 P L IY0 +SHAPERO SH AH0 P IH1 R OW0 +SHAPES SH EY1 P S +SHAPING SH EY1 P IH0 NG +SHAPIRA SH AH0 P IH1 R AH0 +SHAPIRO SH AH0 P IH1 R OW0 +SHAPIRO'S SH AH0 P IH1 R OW0 Z +SHAPIROS SH AH0 P IH1 R OW0 Z +SHAPLEY SH AE1 P L IY0 +SHAPP SH AE1 P +SHAPPELL SH AE1 P AH0 L +SHAQ SH AE1 K +SHAQUILLE SH AH0 K IY1 L +SHARA SH AA1 R AH0 +SHARAA SH AA1 R AH0 +SHARANSKY SH ER0 AE1 N S K IY0 +SHARAR SH ER0 AA1 R +SHARBER SH AA1 R B ER0 +SHARBONO SH AA0 R B OW1 N OW0 +SHARD SH AA1 R D +SHARDS SH AA1 R D Z +SHARE SH EH1 R +SHARE'S SH EH1 R Z +SHARECROP SH EH1 R K R AA2 P +SHARECROPPER SH EH1 R K R AA2 P ER0 +SHARECROPPERS SH EH1 R K R AA2 P ER0 Z +SHARED SH EH1 R D +SHAREHOLDER SH EH1 R HH OW2 L D ER0 +SHAREHOLDER'S SH EH1 R HH OW2 L D ER0 Z +SHAREHOLDERS SH EH1 R HH OW2 L D ER0 Z +SHAREHOLDERS' SH EH1 R HH OW2 L D ER0 Z +SHAREHOLDING SH EH1 R HH OW2 L D IH0 NG +SHAREHOLDINGS SH EH1 R HH OW2 L D IH0 NG Z +SHARELL SH AH0 R EH1 L +SHAREOWNER SH EH1 R OW2 N ER0 +SHAREOWNERS SH EH1 R OW2 N ER0 Z +SHARER SH EH1 R ER0 +SHARES SH EH1 R Z +SHARES' SH EH1 R Z +SHAREWARE SH EH1 R W EH2 R +SHARF SH AA1 R F +SHARFMAN SH AA1 R F M AH0 N +SHARI SH AA1 R IY0 +SHARIA SH AA1 R IY0 AH0 +SHARIF SH ER0 IY1 F +SHARING SH EH1 R IH0 NG +SHARK SH AA1 R K +SHARKEY SH AA1 R K IY0 +SHARKING SH AA1 R K IH0 NG +SHARKLIKE SH AA1 R K L AY2 K +SHARKS SH AA1 R K S +SHARLA SH AA1 R L AH0 +SHARLEEN SH AA0 R L IY1 N +SHARLENE SH AA1 R L IY2 N +SHARLINE SH AA1 R L AY2 N +SHARLOW SH AA1 R L OW0 +SHARM SH AA1 R M +SHARMA SH AA1 R M AH0 +SHARMA'S SH AA1 R M AH0 Z +SHARMAN SH AA1 R M AH0 N +SHARON SH AE1 R AH0 N +SHARON(2) SH EH1 R AH0 N +SHARON(3) SH AH0 R OW1 N +SHARON'S SH EH1 R AH0 N Z +SHARON'S(2) SH AE1 R AH0 N Z +SHARON'S(3) SH AH0 R OW1 N Z +SHARP SH AA1 R P +SHARP'S SH AA1 R P S +SHARP-SIGN SH AA1 R P S AY1 N +SHARPE SH AA1 R P +SHARPEN SH AA1 R P AH0 N +SHARPENED SH AA1 R P AH0 N D +SHARPENING SH AA1 R P AH0 N IH0 NG +SHARPENING(2) SH AA1 R P N IH0 NG +SHARPENS SH AA1 R P AH0 N Z +SHARPER SH AA1 R P ER0 +SHARPEST SH AA1 R P AH0 S T +SHARPEVILLE SH AA1 R P AH0 V IH2 L +SHARPIE SH AA1 R P IY0 +SHARPIES SH AA1 R P IY0 Z +SHARPLES SH AA1 R P AH0 L Z +SHARPLESS SH AA1 R P L AH0 S +SHARPLEY SH AA1 R P L IY0 +SHARPLY SH AA1 R P L IY0 +SHARPNACK SH AA1 R P N AH0 K +SHARPNESS SH AA1 R P N AH0 S +SHARPS SH AA1 R P S +SHARPSHOOTER SH AA1 R P SH UW0 T ER0 +SHARPSHOOTER(2) SH AA1 R P SH UW2 T ER0 +SHARPSHOOTERS SH AA1 R P SH UW0 T ER0 Z +SHARPTON SH AA1 R P T AH0 N +SHARPY SH AA1 R P IY0 +SHARPY'S SH AA1 R P IY0 Z +SHARRAR SH ER0 AA1 R +SHARRER SH AA1 R ER0 +SHARRETT SH AE1 R IH0 T +SHARROCK SH AE1 R AH0 K +SHARRON SH AE1 R AH0 N +SHARROW SH AE1 R OW0 +SHARRY SH AA1 R IY0 +SHARTZER SH AA1 R T Z ER0 +SHARUM SH AA2 R AH1 M +SHARYL SH AA1 R AH0 L +SHAS SH AA1 S +SHASHLIK SH AA1 SH L IH0 K +SHASHOUA SH AH0 SH UW1 AH0 +SHASTA SH AE1 S T AH0 +SHASTA'S SH AE1 S T AH0 Z +SHASTEEN SH AE0 S T IY1 N +SHATKIN SH AE1 T K IH0 N +SHATLEY SH AE1 T L IY0 +SHATMAN SH AE1 T M AH0 N +SHATNER SH AE1 T N ER0 +SHATROV SH AE1 T R AA0 V +SHATT SH AE1 T +SHATTER SH AE1 T ER0 +SHATTERED SH AE1 T ER0 D +SHATTERING SH AE1 T ER0 IH0 NG +SHATTERPROOF SH AE1 T ER0 P R UW2 F +SHATTERS SH AE1 T ER0 Z +SHATTUCK SH AE1 T AH0 K +SHATZ SH AE1 T S +SHATZ(2) SH AA1 T S +SHATZER SH EY1 T Z ER0 +SHAUB SH AO1 B +SHAUGER SH AW1 G ER0 +SHAUGHNESSY SH AO1 N IH0 S IY0 +SHAUL SH AO1 L +SHAULIS SH AW1 L IH0 S +SHAULL SH AO1 L +SHAUN SH AO1 N +SHAUNA SH AO1 N AH0 +SHAVE SH EY1 V +SHAVED SH EY1 V D +SHAVELSON SH EY1 V AH0 L S IH0 N +SHAVELSON(2) SH AE1 V AH0 L S IH0 N +SHAVEN SH EY1 V AH0 N +SHAVER SH EY1 V ER0 +SHAVERS SH EY1 V ER0 Z +SHAVES SH EY1 V Z +SHAVING SH EY1 V IH0 NG +SHAVINGS SH EY1 V IH0 NG Z +SHAVORD SH AH0 V AO1 R D +SHAW SH AO1 +SHAW'S SH AO1 Z +SHAWCROSS SH AO1 K R AO2 S +SHAWGO SH AO1 G OW2 +SHAWHAN SH AE1 W AH0 N +SHAWINIGAN SH AH0 W IH1 N IH0 G AH0 N +SHAWL SH AO1 L +SHAWLER SH AO1 L ER0 +SHAWLEY SH AO1 L IY0 +SHAWLS SH AO1 L Z +SHAWMUT SH AO1 M AH0 T +SHAWMUT'S SH AO1 M AH0 T S +SHAWN SH AO1 N +SHAWN'S SH AO1 N Z +SHAWNA SH AO1 N AH0 +SHAWNEE SH AO1 N IY0 +SHAWNUT SH AO1 N AH0 T +SHAWSHANK SH AO1 SH AE2 N K +SHAWVER SH AO1 V ER0 +SHAY SH EY1 +SHAYKIN SH EY1 K IH0 N +SHAYKIN'S SH EY1 K IH0 N Z +SHAYNE SH EY1 N +SHAYS SH EY1 Z +SHCHARANSKY SH ER0 AE1 N S K IY0 +SHCHEDRIN SH EH1 D R IH0 N +SHCHERBITSKY SH ER0 B IH1 T S K IY0 +SHE SH IY1 +SHE'D SH IY1 D +SHE'LL SH IY1 L +SHE'S SH IY1 Z +SHEA SH EY1 +SHEA'S SH EY1 Z +SHEAD S HH EH1 D +SHEAF SH IY1 F +SHEAFFER SH IY1 F ER0 +SHEAHAN SH IY1 AH0 N +SHEALEY SH IY1 L IY0 +SHEALY SH IY1 L IY0 +SHEAN SH IY1 N +SHEAR SH IH1 R +SHEAR'S SH IY1 R Z +SHEARD SH IH1 R D +SHEARED SH IH1 R D +SHEARER SH IH1 R ER0 +SHEARIN SH IH1 R IH0 N +SHEARING SH IH1 R IH0 NG +SHEARMAN SH IY1 R M AH0 N +SHEARN SH IH1 R N +SHEARON SH IH1 R AH0 N +SHEAROUSE SH IH1 R AW0 S +SHEARS SH IY1 R Z +SHEARSON SH IH1 R S AH0 N +SHEARSON'S SH IH1 R S AH0 N Z +SHEATH SH IY1 TH +SHEATH-KNIFE SH IY1 TH N AY2 F +SHEATHBILL SH IY1 TH B IH0 L +SHEATHBILLS SH IY1 TH B IH0 L Z +SHEATHE SH IY1 DH +SHEATHED SH IY1 DH D +SHEATHING SH IY1 DH IH0 NG +SHEATS SH IY1 T S +SHEAVES SH IY1 V Z +SHEBA SH IY1 B AH0 +SHEBEK SH EH1 B AH0 K +SHEBOYGAN SH AH0 B OY1 G AH0 N +SHECK SH EH1 K +SHECK'S SH EH1 K S +SHECKLER SH EH1 K L ER0 +SHED SH EH1 D +SHEDD SH EH1 D +SHEDDEN SH EH1 D AH0 N +SHEDDING SH EH1 D IH0 NG +SHEDLOCK SH EH1 D L AA2 K +SHEDRICK SH EH1 D R IH0 K +SHEDS SH EH1 D Z +SHEEDER SH IY1 D ER0 +SHEEDY SH IY1 D IY0 +SHEEHAN SH IY1 AH0 N +SHEEHAN(2) SH IY1 HH AH0 N +SHEEHAN'S SH IY1 AH0 N Z +SHEEHAN'S(2) SH IY1 HH AH0 N Z +SHEEHY SH IY1 HH IY0 +SHEEHY(2) SH IY1 IY0 +SHEEK SH IY1 K +SHEEKS SH IY1 K S +SHEELA SH IY1 L AH0 +SHEELAH SH IY1 L AH0 +SHEELEN SH IY1 L AH0 N +SHEELER SH IY1 L ER0 +SHEELEY SH IY1 L IY0 +SHEELY SH IY1 L IY0 +SHEEN SH IY1 N +SHEEN'S SH IY1 N Z +SHEENA SH IY1 N AH0 +SHEENS SH IY1 N Z +SHEEP SH IY1 P +SHEEP'S SH IY1 P S +SHEEPISH SH IY1 P IH0 SH +SHEEPISHLY SH IY1 P IH0 SH L IY0 +SHEEPS SH IY1 P S +SHEEPSKIN SH IY1 P S K IH2 N +SHEER SH IH1 R +SHEERAN SH IH1 R AH0 N +SHEERER SH IY1 R ER0 +SHEERIN SH IH1 R IH0 N +SHEESH SH IY1 SH +SHEESLEY SH IY1 Z L IY0 +SHEET SH IY1 T +SHEETING SH IY1 T IH0 NG +SHEETS SH IY1 T S +SHEETZ SH IY1 T S +SHEFF SH EH1 F +SHEFFER SH EH1 F ER0 +SHEFFEY SH EH1 F IY0 +SHEFFIELD SH EH1 F IY0 L D +SHEFFLER SH EH1 F L ER0 +SHEFTEL SH EH2 F T EH1 L +SHEFTEL'S SH EH2 F T EH1 L Z +SHEGOG SH EH1 G AA0 G +SHEHAN SH EH1 HH AH0 N +SHEHANE SH EH1 HH AH0 N +SHEHORN SH EH1 HH ER0 N +SHEIK SH IY1 K +SHEIK'S SH IY1 K S +SHEIKDOM SH IY1 K D AH0 M +SHEIKDOMS SH IY1 K D AH0 M Z +SHEIKH SH IY1 K +SHEIKS SH IY1 K S +SHEIL SH AY1 L +SHEILA SH IY1 L AH0 +SHEILA'S SH IY1 L AH0 Z +SHEILAH SH IY1 L AH0 +SHEILDS SH AY1 L D Z +SHEILS SH AY1 L Z +SHEIN SH AY1 N +SHEINBERG SH AY1 N B ER0 G +SHEK SH EH1 K +SHEK'S SH EH1 K S +SHEKEL SH EH1 K AH0 L +SHEKELS SH EH1 K AH0 L Z +SHELBURNE SH EH1 L B ER0 N +SHELBY SH EH1 L B IY0 +SHELBY'S SH EH1 L B IY0 Z +SHELBYVILLE SH EH1 L B IY0 V IH2 L +SHELDAHL SH EH1 L D AA2 L +SHELDEN SH EH1 L D AH0 N +SHELDON SH EH1 L D AH0 N +SHELEV SH EH1 L IH0 V +SHELEY SH IY1 L IY0 +SHELF SH EH1 L F +SHELHAH SH EH1 L HH AH0 +SHELHAMER SH EH1 L HH AH0 M ER0 +SHELIA SH IH1 L Y AH0 +SHELINE SH EH1 L AY0 N +SHELL SH EH1 L +SHELL'S SH EH1 L Z +SHELLABARGER SH EH1 L AH0 B AA2 R G ER0 +SHELLAC SH EH1 L AE2 K +SHELLACK SH EH2 L AE1 K +SHELLACKED SH EH2 L AE1 K D +SHELLACKING SH EH2 L AE1 K IH0 NG +SHELLED SH EH1 L D +SHELLENBARGER SH EH1 L IH0 N B AA0 R G ER0 +SHELLENBERGER SH EH1 L AH0 N B ER0 G ER0 +SHELLER SH EH1 L ER0 +SHELLEY SH EH1 L IY0 +SHELLEY'S SH EH1 L IY0 Z +SHELLFISH SH EH1 L F IH2 SH +SHELLHAMMER SH EH1 L HH AE2 M ER0 +SHELLHORN SH EH1 L HH ER0 N +SHELLING SH EH1 L IH0 NG +SHELLINGS SH EH1 L IH0 NG Z +SHELLITO SH EY0 L IY1 T OW0 +SHELLMAN SH EH1 L M AH0 N +SHELLS SH EH1 L Z +SHELLSHOCK SH EH1 L SH AA2 K +SHELLSHOCKED SH EH1 L SH AA2 K T +SHELLY SH EH1 L IY0 +SHELMAN SH EH1 L M AH0 N +SHELNUTT SH EH1 L N AH0 T +SHELOR SH EH1 L ER0 +SHELP SH EH1 L P +SHELSTAD SH EH1 L S T AH0 D +SHELTER SH EH1 L T ER0 +SHELTERED SH EH1 L T ER0 D +SHELTERING SH EH1 L T ER0 IH0 NG +SHELTERS SH EH1 L T ER0 Z +SHELTON SH EH1 L T AH0 N +SHELTON'S SH EH1 L T AH0 N Z +SHELVE SH EH1 L V +SHELVED SH EH1 L V D +SHELVES SH EH1 L V Z +SHELVING SH EH1 L V IH0 NG +SHEMA SH IH0 M AH1 +SHEMANSKI SH IH0 M AE1 N S K IY0 +SHEMONA SH IH0 M OW1 N AH0 +SHEMWELL SH EH1 M W EH2 L +SHEN SH EH1 N +SHENA SH IY1 N AH0 +SHENANDOAH SH EH2 N AH0 N D OW1 AH0 +SHENANIGAN SH AH0 N AE1 N IH0 G AH0 N +SHENANIGANS SH AH0 N AE1 N IH0 G AH0 N Z +SHENBERGER SH EH1 N B ER0 G ER0 +SHENEFIELD SH EH1 N IH0 F IY2 L D +SHENEMAN SH IY1 N M AH0 N +SHENG SH EH1 NG +SHENG-FEN SH EH1 NG F EH1 N +SHENICE SH AH0 N IY1 S +SHENK SH EH1 NG K +SHENKER SH EH1 NG K ER0 +SHENKMAN SH EH1 NG K M AH0 N +SHENTON SH EH1 N T AH0 N +SHENYANG SH EH0 N Y AE1 NG +SHENZHEN SH EH1 N ZH EH2 N +SHEP SH EH1 P +SHEPARD SH EH1 P ER0 D +SHEPARD'S SH EH1 P ER0 D Z +SHEPARDSON SH EH1 P AA0 R D S AH0 N +SHEPERD SH EH1 P ER0 D +SHEPHARD SH EH1 P ER0 D +SHEPHEARD SH EH1 P ER0 D +SHEPHERD SH EH1 P ER0 D +SHEPHERD'S SH EH1 P ER0 D Z +SHEPHERDED SH EH1 P ER0 D IH0 D +SHEPHERDING SH EH1 P ER0 D IH0 NG +SHEPHERDS SH EH1 P ER0 D Z +SHEPLER SH EH1 P L ER0 +SHEPLEY SH EH1 P L IY0 +SHEPP SH EH1 P +SHEPPARD SH EH1 P ER0 D +SHEPPARD'S SH EH1 P ER0 D Z +SHEPPARDS SH EH1 P ER0 D Z +SHEPPER SH EH1 P ER0 +SHEPPERD SH EH1 P ER0 D +SHEPPERSON SH EH1 P ER0 S AH0 N +SHEPPY SH EH1 P IY0 +SHER SH ER1 +SHERAK SH EH1 R AE0 K +SHERARD SH EH1 R ER0 D +SHERATON SH EH1 R AH0 T AH0 N +SHERATON'S SH EH1 R AH0 T AH0 N Z +SHERBERT SH ER1 B ER0 T +SHERBET SH ER1 B AH0 T +SHERBONDY SH ER0 B AA1 N D IY0 +SHERBORNE SH ER1 B ER0 N +SHERBOURN SH ER0 B UH1 R N +SHERBOURNE SH ER0 B UH1 R N +SHERBURN SH ER1 B ER0 N +SHERBURNE SH ER1 B ER0 N +SHERE SH IH1 R +SHEREE SH ER0 IY1 +SHERER SH IH1 R ER0 +SHERFEY SH ER1 F IY0 +SHERFIELD SH ER1 F IY0 L D +SHERI SH EH1 R IY0 +SHERICK SH EH1 R IH0 K +SHERIDAN SH EH1 R IH0 D AH0 N +SHERIFF SH EH1 R AH0 F +SHERIFF(2) SH EH1 R IH0 F +SHERIFF'S SH EH1 R AH0 F S +SHERIFF'S(2) SH EH1 R IH0 F S +SHERIFFS SH EH1 R AH0 F S +SHERIN SH EH1 R IH0 N +SHERK SH ER1 K +SHERLEY SH ER1 L IY0 +SHERLIN SH ER1 L IH0 N +SHERLOCK SH ER1 L AA2 K +SHERLOCK'S SH ER1 L AA2 K S +SHERLUND SH ER1 L AH0 N D +SHERMAN SH ER1 M AH0 N +SHERMAN'S SH ER1 M AH0 N Z +SHERMER SH ER1 M ER0 +SHERNOFF SH ER1 N AO2 F +SHEROD SH EH1 R AH0 D +SHERR SH EH1 R +SHERR'S SH EH1 R Z +SHERRARD SH EH1 R ER0 D +SHERRELL SH EH1 R AH0 L +SHERRER SH EH1 R ER0 +SHERRGOLD SH EH1 R G OW2 L D +SHERRI SH EH1 R IY0 +SHERRI'S SH EH1 R IY0 Z +SHERRICK SH EH1 R IH0 K +SHERRIE SH EH1 R IY0 +SHERRIFF SH EH1 R IH0 F +SHERRILL SH EH1 R IH0 L +SHERRIN SH EH1 R IH0 N +SHERRIT SH EH1 R IH0 T +SHERRITT SH EH1 R IH0 T +SHERROD SH EH1 R AH0 D +SHERRON SH EH1 R AH0 N +SHERROW SH EH1 R OW0 +SHERRY SH EH1 R IY0 +SHERRY'S SH EH1 R IY0 Z +SHERTZER SH ER1 T Z ER0 +SHERVA SH ER1 V AH0 +SHERWIN SH ER1 W IH0 N +SHERWOOD SH ER1 W UH2 D +SHERWOOD'S SH ER1 W UH2 D Z +SHERYL SH EH1 R AH0 L +SHESHUNOFF SH EH1 SH UW0 N AO0 F +SHETH SH EH1 TH +SHETLAND SH EH1 T L AH0 N D +SHETLER SH EH1 T L ER0 +SHETLEY SH EH1 T L IY0 +SHETTER SH EH1 T ER0 +SHETTERLY SH EH1 T ER0 L IY0 +SHEVARDNADZE SH EH2 V ER0 D N AA1 D Z IY0 +SHEVARDNADZE'S SH EH2 V ER0 D N AA1 D Z IY0 Z +SHEVLIN SH EH1 V L IH0 N +SHEVTL SH EH1 V T IH0 L +SHEW SH UW1 +SHEWARD SH UW1 ER0 D +SHEWCHUK SH EH1 CH AH0 K +SHEWELL SH EH1 W EH0 L +SHEWMAKE SH UW1 M EY2 K +SHEWMAKER SH UW1 M EY0 K ER0 +SHH SH +SHI SH IY1 +SHIA SH IY1 AH0 +SHIAH SH IY1 AH0 +SHIAS SH IY1 AH0 Z +SHIBANNA SH IH0 B AE1 N AH0 +SHIBATA SH IY0 B AA1 T AH0 +SHIBBOLETH SH IH1 B AH0 L EH2 TH +SHIBLEY SH IH1 B L IY0 +SHICK SH IH1 K +SHICOFF SH IH1 K AO2 F +SHIDELER SH IH1 D AH0 L ER0 +SHIDLER SH AY1 D AH0 L ER0 +SHIDLER(2) SH AY1 D L ER0 +SHIED SH AY1 D +SHIEH SH IY1 +SHIEL SH IY1 L +SHIELA SH AY1 L AH0 +SHIELD SH IY1 L D +SHIELD'S SH IY1 L D Z +SHIELDED SH IY1 L D IH0 D +SHIELDING SH IY1 L D IH0 NG +SHIELDS SH IY1 L D Z +SHIELS SH IY1 L Z +SHIER SH AY1 ER0 +SHIES SH AY1 Z +SHIFF SH IH1 F +SHIFFER SH IH1 F ER0 +SHIFFLER SH IH1 F L ER0 +SHIFFLET SH IH1 F L IH0 T +SHIFFLETT SH IH1 F L IH0 T +SHIFFMAN SH IH1 F M AH0 N +SHIFLET SH IH1 F L IH0 T +SHIFLETT SH IH1 F L IH0 T +SHIFRIN SH IH1 F R IH0 N +SHIFT SH IH1 F T +SHIFTED SH IH1 F T IH0 D +SHIFTER SH IH1 F T ER0 +SHIFTING SH IH1 F T IH0 NG +SHIFTLESS SH IH1 F T L IH0 S +SHIFTS SH IH1 F T S +SHIFTY SH IH1 F T IY0 +SHIGEKI SH IH0 G EY1 K IY2 +SHIGEKUNI SH IY2 G IH0 K UW1 N 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AH0 S +SICONOLFI S IY0 K OW0 N OW1 L F IY0 +SICOTTE S IH0 K AO1 T +SID S IH1 D +SID'S S IH1 D Z +SIDAK S IH1 D AE0 K +SIDDALL S IH1 D AH0 L +SIDDELEY S IH1 D AH0 L IY0 +SIDDELL S IH1 D AH0 L +SIDDEN S IH1 D AH0 N +SIDDENS S IH1 D AH0 N Z +SIDDHARTHA S IH0 D AA1 R T AH2 +SIDDIG S IH1 D IH0 G +SIDDIQI S IY0 D IY1 K IY0 +SIDDIQUI S IY0 D IY1 K W IY0 +SIDDLE S IH1 D AH0 L +SIDDONS S IH1 D AH0 N Z +SIDE S AY1 D +SIDE'S S AY1 D Z +SIDE-BY-SIDE S AY1 D B AY0 S AY1 D +SIDEARM S AY1 D AA0 R M +SIDEARMS S AY1 D AA0 R M Z +SIDEBAR S AY1 D B AA2 R +SIDEBARS S AY1 D B AA2 R Z +SIDED S AY1 D IH0 D +SIDEK S AY1 D EH2 K +SIDEKICK S AY1 D K IH2 K +SIDELINE S AY1 D L AY2 N +SIDELINED S AY1 D L AY2 N D +SIDELINES S AY1 D L AY2 N Z +SIDELL S AY1 D AH0 L +SIDEMAN S AY1 D M AE2 N +SIDENER S IH1 D IY0 N ER0 +SIDER S AY1 D ER0 +SIDERCA S IH0 D ER1 K AH0 +SIDERIS S IH1 D ER0 IH0 S +SIDEROGRAPHER S AY2 D ER0 AO1 G R AH0 F ER0 +SIDEROGRAPHERS S AY2 D ER0 AO1 G R AH0 F ER0 Z +SIDERS S AY1 D ER0 Z +SIDERS' S AY1 D 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S ER1 M AH0 N Z +SIRMON S ER1 M AH0 N +SIRMONS S ER1 M AH0 N Z +SIRNA S ER1 N AH0 +SIROHI S ER0 OW1 HH IY0 +SIROIS S AY0 R W AA1 +SIROKY S IH1 R AH0 K IY0 +SIRON S IH1 R AH0 N +SIROTA S IH0 R OW1 T AH0 +SIROWITZ S IH1 R AH0 W IH0 T S +SIRRI S IH1 R IY0 +SIRRINE S IH0 R IY1 N IY0 +SIRS S ER1 R Z +SIS S IH1 S +SISCO S IY1 S K OW0 +SISCOE S IH1 S K OW0 +SISEMORE S AY1 Z M AO0 R +SISK S IH1 S K +SISKA S IY1 S K AH0 +SISKEL S IH1 S K AH0 L +SISKEL'S S IH1 S K AH0 L Z +SISKIN S IH1 S K IH0 N +SISKIND S IH1 S K IH0 N D +SISKO S IH1 S K OW0 +SISLER S IH1 S AH0 L ER0 +SISLER(2) S IH1 S L ER0 +SISLEY S IH1 Z L IY0 +SISNEROS S IH1 S N ER0 OW0 Z +SISNEY S IH1 Z N IY0 +SISON S IH1 S AH0 N +SISSEL S IH1 S AH0 L +SISSIE S IH1 S IY0 +SISSOM S IH1 S AH0 M +SISSON S IH1 S AH0 N +SISSY S IH1 S IY0 +SISTARE S IY0 S T AA1 R IY0 +SISTEK S IH1 S T IH0 K +SISTER S IH1 S T ER0 +SISTER'S S IH1 S T ER0 Z +SISTER-IN-LAW S IH1 S T ER0 IH0 N L AO2 +SISTERHOOD S IH1 S T ER0 HH UH0 D +SISTERS S IH1 S T ER0 Z +SISTERS-IN-LAW S IH1 S T ER0 Z IH0 N L AO2 +SISTI S IH1 S T IY0 +SISTINE S IH0 S T IY1 N +SISTINE(2) S IH1 S T IY0 N +SISTO S IH1 S T OW0 +SISTRUNK S IH1 S T R AH0 NG K +SISULU S IH0 S UW1 L UW0 +SIT S IH1 T +SITAR S IH0 T AA1 R +SITARS S IH0 T AA1 R Z +SITCOM S IH1 T K AA2 M +SITCOMS S IH1 T K AA0 M Z +SITE S AY1 T +SITE'S S AY1 T S +SITED S AY1 T IH0 D +SITEK S IH1 T EH0 K +SITENSKI S IH0 T EH1 N S K IY0 +SITENSKI'S S IH0 T EH1 N S K IY0 Z +SITENSKIS S IH0 T EH1 N S K IY0 Z +SITES S AY1 T S +SITHE S AY1 DH +SITING S AY1 T IH0 NG +SITIVENI S IY2 T IH0 V IY1 N IY0 +SITKA S IH1 T K AH0 +SITKO S IH1 T K OW0 +SITLER S AY1 T AH0 L ER0 +SITLER(2) S AY1 T L ER0 +SITLER(3) S IH1 T L ER0 +SITMAR S IH1 T M AA2 R +SITO S IY1 T OW0 +SITO'S S IY1 T OW0 Z +SITRICK S IH1 T R IH0 K +SITS S IH1 T S +SITTER S IH1 T ER0 +SITTERLY S IH1 T ER0 L IY0 +SITTERS S IH1 T ER0 Z +SITTIG S IH1 T IH0 G +SITTIN' S IH1 T AH0 N +SITTING S IH1 T IH0 NG +SITTLER S IH1 T L ER0 +SITTNER S IH1 T N ER0 +SITTON S IH1 T AH0 N +SITTS S IH1 T S +SITUATE S IH1 CH UW0 EY2 T +SITUATED S IH1 CH UW0 EY2 T IH0 D +SITUATION S IH2 CH UW0 EY1 SH AH0 N +SITUATION'S S IH2 CH UW0 EY1 SH AH0 N Z +SITUATIONAL S IH2 CH UW0 EY1 SH AH0 N AH0 L +SITUATIONS S IH2 CH UW0 EY1 SH AH0 N Z +SITUS S AY1 T AH0 S +SITZ S IH1 T S +SITZE S IH1 T Z +SITZER S IH1 T Z ER0 +SITZES S IH1 T S IH0 Z +SITZMAN S IH1 T S M AH0 N +SITZMANN S IH1 T S M AH0 N +SIU S IY1 UW0 +SIUDA S IY0 UW1 D AH0 +SIVAK S IH1 V AH0 K +SIVER S AY1 V ER0 +SIVERLING S IH1 V ER0 L IH0 NG +SIVERSON S IH1 V ER0 S AH0 N +SIVERTSEN S IH1 V ER0 T S AH0 N +SIVERTSON S IH1 V ER0 T S AH0 N +SIVILS S IH1 V AH0 L Z +SIVLEY S IH1 V L IY0 +SIVY S IH1 V IY0 +SIWEK S IH1 W IH0 K +SIX S IH1 K S +SIX'S S IH1 K S IH0 Z +SIX-PACK S IH1 K S P AE2 K +SIXED S IH1 K S T +SIXER S IH1 K S ER0 +SIXERS S IH1 K S ER0 Z +SIXES S IH1 K S IH0 Z +SIXFOLD S IH1 K S F OW2 L D +SIXTEEN S IH0 K S T IY1 N +SIXTEEN(2) S IH1 K S T IY1 N +SIXTEEN'S S IH2 K S T IY1 N Z +SIXTEENS S IH1 K S T IY1 N Z +SIXTEENTH S IH0 K S T IY1 N TH +SIXTEENTH(2) S IH1 K S T IY1 N TH +SIXTEENTHS S IH1 K S T IY1 N TH S +SIXTH S IH1 K S TH +SIXTHS S IH1 K S TH S +SIXTIES S IH1 K S T IY0 Z +SIXTIETH S IH1 K S T IY0 IH0 TH +SIXTY S IH1 K S T IY0 +SIXTY'S S IH1 K S T IY0 Z +SIZABLE S AY1 Z AH0 B AH0 L +SIZE S AY1 Z +SIZEABLE S AY1 Z AH0 B AH0 L +SIZED S AY1 Z D +SIZELER S AY1 Z L ER0 +SIZELOVE S AY1 Z L AH2 V +SIZEMORE S AY1 Z M AO0 R +SIZER S AY1 Z ER0 +SIZES S AY1 Z AH0 Z +SIZES(2) S AY1 Z IH0 Z +SIZING S AY1 Z IH0 NG +SIZZLE S IH1 Z AH0 L +SIZZLED S IH1 Z AH0 L D +SIZZLER S IH1 Z L ER0 +SIZZLERS S IH1 Z L ER0 Z +SIZZLIN S IH1 Z L IH0 N +SIZZLING S IH1 Z AH0 L IH0 NG +SIZZLING(2) S IH1 Z L IH0 NG +SJOBERG SH OW1 B ER0 G +SJOBLOM SH OW1 B L AA0 M +SJODIN SH OW1 D IH0 N +SJOGREN SH OW1 G R AH0 N +SJOLANDER SH OW1 L AE2 N D ER0 +SJOQUIST SH OW1 K W IH0 S T +SJOSTROM SH OW1 S T R AH0 M +SKA S K AA1 +SKAAR S K AA1 R +SKADDEN S K AE1 D IH0 N +SKAFF S K AE1 F +SKAGGS S K AE1 G Z +SKAINS S K EY1 N Z +SKALA S K AA1 L AH0 +SKALICKY S K AH0 L IH1 K IY0 +SKALLA S K AE1 L AH0 +SKALSKI S K AA1 L S K IY0 +SKALSKY S K AA1 L S K IY0 +SKANDIA S K AE1 N D IY0 ER0 +SKANDIA(2) S K AE1 N D IY0 AH0 +SKANDIA(3) S K AE1 N D Y AH0 +SKANDINAVISKA S K AE2 N D IH0 N AH0 V IH1 S K AH0 +SKANSKA S K AE1 N S K AH0 +SKARDA S K AA1 R D AH0 +SKARE S K EH1 R +SKASE S K EY1 Z +SKATE S K EY1 T +SKATEBOARD S K EY1 T B AO2 R D +SKATEBOARDING S K EY1 T B AO2 R D IH0 NG +SKATED S K EY1 T IH0 D +SKATER S K EY1 T ER0 +SKATERS S K EY1 T ER0 Z +SKATES S K EY1 T S +SKATING S K EY1 T IH0 NG +SKEAT S K IY1 T +SKEEL S K IY1 L +SKEELS S K IY1 L Z +SKEEN S K IY1 N +SKEENS S K IY1 N Z +SKEES S K IY1 Z +SKEET S K IY1 T +SKEETE S K IY1 T +SKEETER S K IY1 T ER0 +SKEETERS S K IY1 T ER0 Z +SKEETS S K IY1 T S +SKEFFINGTON S K EH1 F IH0 NG T AH0 N +SKEHAN S K EY1 AH0 N +SKEIN S K EY1 N +SKEINS S K EY1 N Z +SKELETAL S K EH1 L AH0 T AH0 L +SKELETON S K EH1 L AH0 T AH0 N +SKELETONS S K EH1 L AH0 T AH0 N Z +SKELLENGER S K EH1 L IH0 N JH ER0 +SKELLEY S K EH1 L IY0 +SKELLY S K EH1 L IY0 +SKELTER S K EH1 L T ER0 +SKELTON S K EH1 L T AH0 N +SKENANDORE S K IH0 N AE1 N D ER0 +SKENDER S K EH1 N D ER0 +SKENDERIAN S K EH2 N D EH1 R IY0 AH0 N +SKENE S K IY1 N +SKEOCH S K IY1 AA0 CH +SKEPTIC S K EH1 P T IH0 K +SKEPTICAL S K EH1 P T AH0 K AH0 L +SKEPTICAL(2) S K EH1 P T IH0 K AH0 L +SKEPTICALLY S K EH1 P T IH0 K AH0 L IY0 +SKEPTICALLY(2) S K EH1 P T IH0 K L IY0 +SKEPTICISM S K EH1 P T IH0 S IH2 Z AH0 M +SKEPTICS S K EH1 P T IH0 K S +SKERDAL S K EH1 R D AA2 L +SKERRY S K EH1 R IY0 +SKETCH S K EH1 CH +SKETCHBOOK S K EH1 CH B UH2 K +SKETCHBOOKS S K EH1 CH B UH2 K S +SKETCHED S K EH1 CH T +SKETCHES S K EH1 CH AH0 Z +SKETCHES(2) S K EH1 CH IH0 Z +SKETCHING S K EH1 CH IH0 NG +SKETCHY S K EH1 CH IY0 +SKEW S K Y UW1 +SKEWED S K Y UW1 D +SKEWER S K Y UW1 ER0 +SKEWERED S K Y UW1 ER0 D +SKEWERS S K Y UW1 ER0 Z +SKEWES S K Y UW1 Z +SKEWING S K Y UW1 IH0 NG +SKEWS S K Y UW1 Z +SKI S K IY1 +SKIBA S K AY1 B AH0 +SKIBBE S K IH1 B +SKIBICKI S K IH0 B IH1 K IY0 +SKIBINSKI S K IH0 B IH1 N S K IY0 +SKIBO S K AY1 B OW0 +SKIBO(2) S K IY1 B OW0 +SKID S K IH1 D +SKIDDED S K IH1 D IH0 D +SKIDDING S K IH1 D IH0 NG +SKIDGEL S K IH1 JH AH0 L +SKIDMORE S K IH1 D M AO0 R +SKIDS S K IH1 D Z +SKIED S K IY1 D +SKIER S K AY1 R +SKIER(2) S K IY1 ER0 +SKIERS S K IY1 ER0 Z +SKIES S K AY1 Z +SKIFF S K IH1 F +SKIFFINGTON S K IH1 F IH0 NG T AH0 N +SKIFFS S K IH1 F S +SKIING S K IY1 IH0 NG +SKILES S K AY1 L Z +SKILL S K IH1 L +SKILLED S K IH1 L D +SKILLEN S K IH1 L AH0 N +SKILLERN S K IH1 L ER0 N +SKILLET S K IH1 L AH0 T +SKILLFUL S K IH1 L F AH0 L +SKILLFULLY S K IH1 L F AH0 L IY0 +SKILLIN S K IH1 L IH0 N +SKILLING S K IH1 L IH0 NG +SKILLINGS S K IH1 L IH0 NG Z +SKILLMAN S K IH1 L M AH0 N +SKILLS S K IH1 L Z +SKILTON S K IH1 L T AH0 N +SKIM S K IH1 M +SKIMMED S K IH1 M D +SKIMMER S K IH1 M ER0 +SKIMMERS S K IH1 M ER0 Z +SKIMMING S K IH1 M IH0 NG +SKIMP S K IH1 M P +SKIMPIER S K IH1 M P IY0 ER0 +SKIMPIEST S K IH1 M P IY0 AH0 S T +SKIMPING S K IH1 M P IH0 NG +SKIMPY S K IH1 M P IY0 +SKIN S K IH1 N +SKIN'S S K IH1 N Z +SKINFLINT S K IH1 N F L IH0 N T +SKINHEAD S K IH1 N HH EH2 D +SKINHEADS S K IH1 N HH EH2 D Z +SKINKS S K IH1 NG K S +SKINLESS S K IH1 N L AH0 S +SKINNED S K IH1 N D +SKINNER S K IH1 N ER0 +SKINNER'S S K IH1 N ER0 Z +SKINNIER S K IH1 N IY0 ER0 +SKINNIEST S K IH1 N IY0 AH0 S T +SKINNY S K IH1 N IY0 +SKINS S K IH1 N Z +SKINS' S K IH1 N Z +SKIP S K IH1 P +SKIPJACK S K IH1 P JH AE2 K +SKIPJACK'S S K IH1 P JH AE2 K S +SKIPJACKS S K IH1 P JH AE2 K S +SKIPP S K IH1 P +SKIPPA S K IH1 P AH0 +SKIPPA'S S K IH1 P AH0 Z +SKIPPED S K IH1 P T +SKIPPER S K IH1 P ER0 +SKIPPER'S S K IH1 P ER0 Z +SKIPPERS S K IH1 P ER0 Z +SKIPPING S K IH1 P IH0 NG +SKIPPY S K IH1 P IY0 +SKIPS S K IH1 P S +SKIPTON S K IH1 P T AH0 N +SKIPWITH S K IH1 P W IH2 TH +SKIPWORTH S K IH1 P W ER2 TH +SKIRDALL S K ER1 D AA2 L +SKIRMISH S K ER1 M IH0 SH +SKIRMISHES S K ER1 M IH0 SH IH0 Z +SKIRMISHING S K ER1 M IH0 SH IH0 NG +SKIRT S K ER1 T +SKIRTED S K ER1 T IH0 D +SKIRTING S K ER1 T IH0 NG +SKIRTS S K ER1 T S +SKIRVIN S K ER1 V IH0 N +SKIS S K IY1 Z +SKIT S K IH1 T +SKITS S K IH1 T S +SKITTISH S K IH1 T IH0 SH +SKITTISHNESS S K IH1 T IH0 SH N AH0 S +SKITTLE S K IH1 T AH0 L +SKITTLES S K IH1 T AH0 L Z +SKIVER S K AY1 V ER0 +SKLAR S K L AA1 R +SKLENAR S K L EH1 N ER0 +SKOAL S K OW1 L +SKOCZYLAS S K AH0 CH IH1 L AH0 Z +SKODA S K OW1 D AA2 +SKOFF S K AO1 F +SKOG S K AA1 G +SKOGEN S K AA1 G AH0 N +SKOGLUND S K AA1 G L AH0 N D +SKOK S K AA1 K +SKOKIE S K OW1 K IY0 +SKOLER S K OW1 L ER0 +SKOLNICK S K OW1 L N IH0 K +SKOLNIK S K OW1 L N IH0 K +SKOLNIKS S K OW1 L N IH0 K S +SKONIECZNY S K AH0 N IY1 CH N IY2 +SKOOG S K UW1 G +SKOP S K AA1 P +SKOPJE S K AO1 P Y EH2 +SKORA S K AO1 R AH0 +SKORUPA S K ER0 UW1 P AA2 +SKORUPSKI S K ER0 AH1 P S K IY2 +SKOUSEN S K UW1 S AH0 N +SKOV S K AA1 V +SKOW S K AW1 +SKOWHEGAN S K OW1 HH IY2 G AH0 N +SKOWRON S K AW1 R AH0 N +SKOWRONEK S K AW0 R OW1 N EH0 K +SKOWRONSKI S K AW0 R AA1 N S K IY2 +SKRAMSTAD S K R AE1 M S T AE0 D +SKREW-UP S K R UW1 AH2 P +SKREW-UPS S K R UW1 AH2 P S +SKROCH S K R AA1 K +SKROCKI S K R AA1 K IY0 +SKRZYPEK S K ER0 Z IH1 P EH0 K +SKUDRA S K UW1 D R AA0 +SKUFCA S K AH1 F K AA0 +SKULDUGGERY S K AH0 L D AH1 G ER0 IY2 +SKULK S K AH1 L K +SKULKING S K AH1 L K IH0 NG +SKULKS S K AH1 L K S +SKULL S K AH1 L +SKULLCAP S K AH1 L K AE2 P +SKULLCAPS S K AH1 L K AE2 P S +SKULLS S K AH1 L Z +SKUNK S K AH1 NG K +SKUNKS S K AH1 NG K S +SKURA S K UH1 R AA0 +SKURDAL S K ER1 D AH0 L +SKURKA S K ER1 K AA0 +SKUTT S K AH1 T +SKY S K AY1 +SKY'S S K AY1 Z +SKYBOX S K AY1 B AA2 K S +SKYBOXES S K AY1 B AA2 K S IH0 Z +SKYCAP S K AY1 K AE2 P +SKYDIVE S K AY1 D AY0 V +SKYDIVING S K AY1 D AY0 V IH0 NG +SKYDOME S K AY1 D OW2 M +SKYE S K AY1 +SKYHAWK S K AY1 HH AO2 K +SKYHAWKS S K AY1 HH AO2 K S +SKYHIGH S K AY1 HH AY2 +SKYHOPPING S K AY1 HH AO0 P IH0 NG +SKYLARK S K AY1 L AA2 R K +SKYLARKS S K AY1 L AA2 R K S +SKYLAWN S K AY1 L AO2 N +SKYLES S K AY1 L Z +SKYLIGHT S K AY1 L AY2 T +SKYLIGHTS S K AY1 L AY2 T S +SKYLINE S K AY1 L AY2 N +SKYLINES S K AY1 L AY2 N Z +SKYLITE S K AY1 L AY2 T +SKYLITES S K AY1 L AY2 T S +SKYNET S K AY1 N EH2 T +SKYPE S K AY1 P +SKYROCKET S K AY1 R AA2 K AH0 T +SKYROCKETED S K AY1 R AA2 K AH0 T IH0 D +SKYROCKETING S K AY1 R AA2 K AH0 T IH0 NG +SKYROCKETS S K AY1 R AA2 K AH0 T S +SKYSCRAPER S K AY1 S K R EY2 P ER0 +SKYSCRAPERS S K AY1 S K R EY2 P ER0 Z +SKYTEL S K AY1 T EH2 L +SKYWALKER S K AY1 W AO2 K ER0 +SKYWARD S K AY1 W ER0 D +SKYWAVE S K AY1 W EY2 V +SKYWAY S K AY1 W EY2 +SKYWEST S K AY1 W EH2 S T +SKYWRITER S K AY1 R AY2 T ER0 +SKYWRITERS S K AY1 R AY2 T ER0 Z +SKYWRITING S K AY1 R AY2 T IH0 NG +SLAB S L AE1 B +SLABAUGH S L AE1 B AO0 +SLABS S L AE1 B Z +SLABY S L EY1 B IY0 +SLACK S L AE1 K +SLACKED S L AE1 K T +SLACKEN S L AE1 K AH0 N +SLACKENED S L AE1 K AH0 N D +SLACKENING S L AE1 K AH0 N IH0 NG +SLACKENS S L AE1 K AH0 N Z +SLACKER S L AE1 K ER0 +SLACKERS S L AE1 K ER0 Z +SLACKNESS S L AE1 K N AH0 S +SLACKS S L AE1 K S +SLADE S L EY1 D +SLADEK S L AE1 D IH0 K +SLADKY S L AE1 D K IY0 +SLAG S L AE1 G +SLAGEL S L AE1 G AH0 L +SLAGER S L EY1 G ER0 +SLAGGING S L AE1 G IH0 NG +SLAGHT S L AE1 T +SLAGLE S L EY1 G AH0 L +SLAGTER S L AE1 G T ER0 +SLAIN S L EY1 N +SLAINE S L EY1 N +SLALOM S L AA1 L AH0 M +SLAM S L AE1 M +SLAMA S L AA1 M AH0 +SLAMMED S L AE1 M D +SLAMMER S L AE1 M ER0 +SLAMMING S L AE1 M IH0 NG +SLAMS S L AE1 M Z +SLANDER S L AE1 N D ER0 +SLANDERED S L AE1 N D ER0 D +SLANDERER S L AE1 N D ER0 ER0 +SLANDERING S L AE1 N D ER0 IH0 NG +SLANDEROUS S L AE1 N D ER0 AH0 S +SLANDERS S L AE1 N D ER0 Z +SLANE S L EY1 N +SLANEY S L EY1 N IY0 +SLANG S L AE1 NG +SLANINA S L AA0 N IY1 N AH0 +SLANKARD S L AE1 NG K ER0 D +SLANT S L AE1 N T +SLANTED S L AE1 N T IH0 D +SLANTED(2) S L AE1 N AH0 D +SLANTED(3) S L AE1 N IH0 D +SLANTING S L AE1 N T IH0 NG +SLAP S L AE1 P +SLAPDASH S L AE1 P D AE2 SH +SLAPE S L EY1 P +SLAPHAPPY S L AE1 P HH AE2 P IY0 +SLAPPED S L AE1 P T +SLAPPEY S L AE1 P IY0 +SLAPPING S L AE1 P IH0 NG +SLAPS S L AE1 P S +SLAPSTICK S L AE1 P S T IH2 K +SLASH S L AE1 SH +SLASHED S L AE1 SH T +SLASHER S L AE1 SH ER0 +SLASHES S L AE1 SH IH0 Z +SLASHING S L AE1 SH IH0 NG +SLAT S L AE1 T +SLATE S L EY1 T +SLATED S L EY1 T IH0 D +SLATEN S L EY1 T AH0 N +SLATER S L EY1 T ER0 +SLATER'S S L EY1 T ER0 Z +SLATERS S L EY1 T ER0 Z +SLATES S L EY1 T S +SLATHER S L AE1 DH ER0 +SLATHERED S L AE1 DH ER0 D +SLATHERING S L AE1 DH ER0 IH0 NG +SLATHERS S L AE1 DH ER0 Z +SLATING S L EY1 T IH0 NG +SLATKIN S L AE1 T K IH0 N +SLATON S L AE1 T AH0 N +SLATS S L AE1 T S +SLATTEN S L AE1 T AH0 N +SLATTER S L AE1 T ER0 +SLATTERY S L AE1 T ER0 IY0 +SLATTON S L AE1 T AH0 N +SLAUGH S L AO1 +SLAUGHTER S L AO1 T ER0 +SLAUGHTERED S L AO1 T ER0 D +SLAUGHTERHOUSE S L AO1 T ER0 HH AW2 S +SLAUGHTERHOUSES S L AO1 T ER0 HH AW2 S IH0 Z +SLAUGHTERING S L AO1 T ER0 IH0 NG +SLAUGHTERINGS S L AO1 T ER0 IH0 NG Z +SLAUGHTERS S L AO1 T ER0 Z +SLAUSON S L AW1 Z AH0 N +SLAV S L AA1 V +SLAVA S L AA1 V AH0 +SLAVE S L EY1 V +SLAVEN S L EY1 V AH0 N +SLAVENS S L EY1 V AH0 N Z +SLAVERY S L EY1 V ER0 IY0 +SLAVES S L EY1 V Z +SLAVIC S L AA1 V IH0 K +SLAVICK S L AE1 V IH0 K +SLAVIK S L AA1 V IH0 K +SLAVIN S L AE1 V IH0 N +SLAVINSKI S L AH0 V IH1 N S K IY0 +SLAVISH S L EY1 V IH0 SH +SLAVISHLY S L AE1 V IH0 SH L IY0 +SLAVONIA S L AH0 V OW1 N IY0 AH0 +SLAVONIA(2) S L AH0 V OW1 N Y AH0 +SLAVS S L AA1 V Z +SLAW S L AO1 +SLAWINSKI S L AA0 V IH1 N S K IY0 +SLAWSON S L AO1 S AH0 N +SLAY S L EY1 +SLAYBACK S L EY1 B AE2 K +SLAYBAUGH S L EY1 B AO2 +SLAYDEN S L EY1 D AH0 N +SLAYDON S L EY1 D AH0 N +SLAYER S L EY1 ER0 +SLAYING S L EY1 IH0 NG +SLAYINGS S L EY1 IH0 NG Z +SLAYMAKER S L EY1 M EY2 K ER0 +SLAYTER S L EY1 T ER0 +SLAYTON S L EY1 T AH0 N +SLEASMAN S L IY1 Z M AH0 N +SLEATOR S L EY1 T ER0 +SLEAZE S L IY1 Z +SLEAZY S L IY1 Z IY0 +SLECHTA S L EH1 CH T AH0 +SLED S L EH1 D +SLEDD S L EH1 D +SLEDDING S L EH1 D IH0 NG +SLEDGE S L EH1 JH +SLEDGEHAMMER S L EH1 JH HH AE2 M ER0 +SLEDS S L EH1 D Z +SLEDZ S L EH1 D Z +SLEE S L IY1 +SLEEK S L IY1 K +SLEEKER S L IY1 K ER0 +SLEEKEST S L IY1 K AH0 S T +SLEEKLY S L IY1 K L IY0 +SLEEMAN S L IY1 M AH0 N +SLEEP S L IY1 P +SLEEPER S L IY1 P ER0 +SLEEPERS S L IY1 P ER0 Z +SLEEPILY S L IY1 P AH0 L IY0 +SLEEPINESS S L IY1 P IY0 N AH0 S +SLEEPING S L IY1 P IH0 NG +SLEEPLESS S L IY1 P L AH0 S +SLEEPOVER S L IY1 P OW2 V ER0 +SLEEPOVERS S L IY1 P OW2 V ER0 Z +SLEEPS S L IY1 P S +SLEEPWALK S L IY1 P W AO2 K +SLEEPWALKER S L IY1 P W AO2 K ER0 +SLEEPWALKERS S L IY1 P W AO2 K ER0 Z +SLEEPWALKING S L IY1 P W AO2 K IH0 NG +SLEEPWEAR S L IY1 P W EH2 R +SLEEPY S L IY1 P IY0 +SLEET S L IY1 T +SLEETER S L IY1 T ER0 +SLEETH S L IY1 TH +SLEEVE S L IY1 V +SLEEVED S L IY1 V D +SLEEVELESS S L IY1 V L IH0 S +SLEEVES S L IY1 V Z +SLEIGH S L EY1 +SLEIGHT S L AY1 T +SLEIPNER S L AY1 P N ER0 +SLEMMER S L EH1 M ER0 +SLEMP S L EH1 M P +SLENDER S L EH1 N D ER0 +SLENTZ S L EH1 N T S +SLEPIAN S L IY1 P IY0 AH0 N +SLEPIAN(2) S L IY1 P Y AH0 N +SLEPT S L EH1 P T +SLESSENGER S L EH1 S EH0 N G ER0 +SLETTEN S L EH1 T AH0 N +SLEUTH S L UW1 TH +SLEUTHING S L UW1 TH IH0 NG +SLEUTHS S L UW1 TH S +SLEVEN S L IY1 V AH0 N +SLEVIN S L EH1 V IH0 N +SLEW S L UW1 +SLEZAK S L EH1 Z AH0 K +SLICE S L AY1 S +SLICED S L AY1 S T +SLICER S L AY1 S ER0 +SLICES S L AY1 S AH0 Z +SLICES(2) S L AY1 S IH0 Z +SLICING S L AY1 S IH0 NG +SLICK S L IH1 K +SLICKED S L IH1 K T +SLICKER S L IH1 K ER0 +SLICKERS S L IH1 K ER0 Z +SLICKEST S L IH1 K AH0 S T +SLICKLY S L IH1 K L IY0 +SLICKS S L IH1 K S +SLID S L IH1 D +SLIDE S L AY1 D +SLIDER S L AY1 D ER0 +SLIDES S L AY1 D Z +SLIDING S L AY1 D IH0 NG +SLIFE S L AY1 F +SLIFER S L AY1 F ER0 +SLIFKA S L IH1 F K AH0 +SLIFKO S L IH1 F K OW0 +SLIGAR S L IH1 G ER0 +SLIGER S L AY1 G ER0 +SLIGH S L AY1 +SLIGHT S L AY1 T +SLIGHTED S L AY1 T IH0 D +SLIGHTEST S L AY1 T AH0 S T +SLIGHTING S L AY1 T IH0 NG +SLIGHTLY S L AY1 T L IY0 +SLIGHTS S L AY1 T S +SLIKER S L AY1 K ER0 +SLIM S L IH1 M +SLIMAK S L IH1 M AH0 K +SLIME S L AY1 M +SLIMMED S L IH1 M D +SLIMMER S L IH1 M ER0 +SLIMMEST S L IH1 M AH0 S T +SLIMMING S L IH1 M IH0 NG +SLIMP S L IH1 M P +SLIMS S L IH1 M Z +SLIMY S L AY1 M IY0 +SLINEY S L IH1 N IY0 +SLING S L IH1 NG +SLINGER S L IH1 NG ER0 +SLINGERLAND S L IH1 NG G ER0 L AH0 N D +SLINGING S L IH1 NG IH0 NG +SLINGS S L IH1 NG Z +SLINGSHOT S L IH1 NG SH AA2 T +SLINGSHOTS S L IH1 NG SH AA2 T S +SLINKARD S L IH1 NG K ER0 D +SLINKER S L IH1 NG K ER0 +SLINKY S L IH1 NG K IY0 +SLIP S L IH1 P +SLIP-ON S L IH1 P AA2 N +SLIP-ONS S L IH1 P AA2 N Z +SLIPPAGE S L IH1 P IH0 JH +SLIPPED S L IH1 P T +SLIPPER S L IH1 P ER0 +SLIPPERS S L IH1 P ER0 Z +SLIPPERY S L IH1 P ER0 IY0 +SLIPPERY(2) S L IH1 P R IY0 +SLIPPING S L IH1 P IH0 NG +SLIPS S L IH1 P S +SLIPSHOD S L IH1 P SH AA2 D +SLIT S L IH1 T +SLITER S L IY1 T ER0 +SLITHER S L IH1 DH ER0 +SLITHERING S L IH1 DH ER0 IH0 NG +SLITS S L IH1 T S +SLITTING S L IH1 T IH0 NG +SLIVA S L IY1 V AH0 +SLIVER S L IH1 V ER0 +SLIVERS S L IH1 V ER0 Z +SLIVINSKI S L IH0 V IH1 N S K IY0 +SLIVKA S L IH1 V K AH0 +SLIVOVITZ S L IH1 V AH0 V IH0 T S +SLIWA S L AY1 V AH0 +SLIWINSKI S L IH0 V IH1 N S K IY0 +SLOAN S L OW1 N +SLOAN'S S L OW1 N Z +SLOANE S L OW1 N +SLOAT S L OW1 T +SLOATE S L OW1 T +SLOB S L AA1 B +SLOBBER S L AA1 B ER0 +SLOBBERING S L AA1 B ER0 IH0 NG +SLOBODA S L AH0 B OW1 D AH0 +SLOBODAN S L OW1 B OW0 D AA2 N +SLOBOGIN S L AH0 B OW1 G AH0 N +SLOBOGIN'S S L AH0 B OW1 G AH0 N Z +SLOBS S L AA1 B Z +SLOCAN S L OW1 K AH0 N +SLOCAN'S S L OW1 K AH0 N Z +SLOCOMB S L OW1 K AH0 M +SLOCUM S L OW1 K AH0 M +SLOCUMB S L OW1 K AH0 M +SLOE S L OW1 +SLOG S L AA1 G +SLOGAN S L OW1 G AH0 N +SLOGANS S L OW1 G AH0 N Z +SLOGGED S L AA1 G D +SLOGGING S L AA1 G IH0 NG +SLOKUM S L OW1 K AH0 M +SLOMA S L OW1 M AH0 +SLOMAN S L OW1 M AH0 N +SLOMINSKI S L AH0 M IH1 N S K IY0 +SLOMSKI S L AA1 M S K IY0 +SLONAKER S L AA1 N AH0 K ER0 +SLONE S L OW1 N +SLONIKER S L AA1 N IH0 K ER0 +SLOOP S L UW1 P +SLOP S L AA1 P +SLOPE S L OW1 P +SLOPER S L OW1 P ER0 +SLOPES S L OW1 P S +SLOPING S L OW1 P IH0 NG +SLOPPIER S L AA1 P IY0 ER0 +SLOPPIEST S L AA1 P IY0 AH0 S T +SLOPPILY S L AA1 P AH0 L IY0 +SLOPPINESS S L AA1 P IY0 N AH0 S +SLOPPY S L AA1 P IY0 +SLORC S L AO1 R K +SLOSH S L AA1 SH +SLOSHING S L AA1 SH IH0 NG +SLOSS S L AO1 S +SLOT S L AA1 T +SLOTA S L OW1 T AH0 +SLOTH S L OW1 TH +SLOTHOWER S L AA1 TH OW0 ER0 +SLOTNICK S L AA1 T N IH0 K +SLOTS S L AA1 T S +SLOTT S L AA1 T +SLOTTED S L AA1 T IH0 D +SLOTTING S L AA1 T IH0 NG +SLOUCH S L AW1 CH +SLOUCHES S L AW1 CH IH0 Z +SLOUCHING S L AW1 CH IH0 NG +SLOUGH S L AH1 F +SLOUGHS S L AH1 F S +SLOVACEK S L AA1 V AH0 CH EH0 K +SLOVAK S L OW1 V AE0 K +SLOVAK(2) S L OW1 V AA0 K +SLOVAKIA S L OW2 V AA1 K IY2 AH0 +SLOVAKIA'S S L OW0 V AA1 K IY2 AH0 Z +SLOVAKIA'S(2) S L OW0 V AE1 K IY0 AH0 Z +SLOVAKIAN S L OW1 V AA0 K IY2 AH0 N +SLOVAKS S L OW1 V AE0 K S +SLOVAKS(2) S L OW1 V AA0 K S +SLOVENE S L OW2 V IY1 N +SLOVENES S L OW2 V IY1 N Z +SLOVENIA S L OW2 V IY1 N IY0 AH0 +SLOVENIAN S L OW2 V IY1 N IY0 AH0 N +SLOVENLINESS S L AH1 V AH0 N L IY0 N AH0 S +SLOVENLY S L AH1 V AH0 N L IY0 +SLOVER S L OW1 V ER0 +SLOVES S L OW1 V Z +SLOVO S L OW1 V OW0 +SLOVONIA S L AH0 V OW1 N IY0 AH0 +SLOVONIA(2) S L AH0 V OW1 N Y AH0 +SLOW S L OW1 +SLOWDOWN S L OW1 D AW2 N +SLOWDOWNS S L OW1 D AW2 N Z +SLOWED S L OW1 D +SLOWER S L OW1 ER0 +SLOWEST S L OW1 AH0 S T +SLOWEY S L OW1 IY0 +SLOWIK S L OW1 IH0 K +SLOWING S L OW1 IH0 NG +SLOWINSKI S L OW0 IH1 N S K IY0 +SLOWLY S L OW1 L IY0 +SLOWNESS S L OW1 N AH0 S +SLOWPOKE S L OW1 P OW2 K +SLOWS S L OW1 Z +SLUDER S L UW1 D ER0 +SLUDGE S L AH1 JH +SLUDGY S L AH1 JH IY0 +SLUG S L AH1 G +SLUGA S L UW1 G AH0 +SLUGFEST S L AH1 G F EH2 S T +SLUGGED S L AH1 G D +SLUGGER S L AH1 G ER0 +SLUGGERS S L AH1 G ER0 Z +SLUGGING S L AH1 G IH0 NG +SLUGGISH S L AH1 G IH0 SH +SLUGGISHLY S L AH1 G IH0 SH L IY0 +SLUGGISHNESS S L AH1 G IH0 SH N AH0 S +SLUGS S L AH1 G Z +SLUICE S L UW1 S +SLUICING S L UW1 S IH0 NG +SLUITER S L UW1 T ER0 +SLUKA S L UW1 K AH0 +SLUM S L AH1 M +SLUMBER S L AH1 M B ER0 +SLUMBERING S L AH1 M B ER0 IH0 NG +SLUMP S L AH1 M P +SLUMPED S L AH1 M P T +SLUMPING S L AH1 M P IH0 NG +SLUMPS S L AH1 M P S +SLUMS S L AH1 M Z +SLUNG S L AH1 NG +SLUPIC S L UW1 P IH0 K +SLUR S L ER1 +SLURP S L ER1 P +SLURRED S L ER1 D +SLURRING S L ER1 IH0 NG +SLURRY S L ER1 IY0 +SLURS S L ER1 Z +SLUSH S L AH1 SH +SLUSHAYETE S L UH0 SH EY0 EH1 T +SLUSHER S L AH1 SH ER0 +SLUSS S L AH1 S +SLUSSER S L AH1 S ER0 +SLUT S L AH1 T +SLUTS S L AH1 T S +SLUTSKY S L AH1 T S K IY0 +SLUTTY S L AH1 T IY2 +SLUTZ S L AH1 T S +SLUTZKY S L AH1 T S K IY0 +SLUYTER S L AY1 T ER0 +SLY S L AY1 +SLYE S L AY1 +SLYLY S L AY1 L IY0 +SLYNESS S L AY1 N AH0 S +SLYTER S L AY1 T ER0 +SMABY S M EY1 B IY0 +SMACK S M AE1 K +SMACKED S M AE1 K T +SMACKING S M AE1 K IH0 NG +SMACKS S M AE1 K S +SMAIL S M EY1 L +SMALDONE S M AE1 L D AH0 N +SMALE S M EY1 L +SMALL S M AO1 L +SMALLCAP S M AO1 L K AE2 P +SMALLEN S M AO1 L AH0 N +SMALLER S M AO1 L ER0 +SMALLEST S M AO1 L AH0 S T +SMALLEY S M AA1 L IY0 +SMALLING S M AO1 L IH0 NG +SMALLISH S M AO1 L IH0 SH +SMALLMAN S M AO1 L M AH0 N +SMALLNESS S M AO1 L N AH0 S +SMALLPOX S M AO1 L P AA2 K S +SMALLRIDGE S M AO1 L R IH2 JH +SMALLS S M AO1 L Z +SMALLTALK S M AO1 L T AO2 K +SMALLTOWN S M AO1 L T AW2 N +SMALLWOOD S M AO1 L W UH2 D +SMALTZ S M AE1 L T S +SMARMY S M AA1 R M IY0 +SMARR S M AE1 R +SMART S M AA1 R T +SMART-ASS S M AA1 R T AE2 S +SMARTALECK S M AA1 R T EH0 L AH0 K +SMARTASS S M AA1 R T AE1 S +SMARTCARD S M AA1 R T K AA2 R D +SMARTED S M AA1 R T IH0 D +SMARTEN S M AA1 R T AH0 N +SMARTENED S M AA1 R T AH0 N D +SMARTENING S M AA1 R T AH0 N IH0 NG +SMARTER S M AA1 R T ER0 +SMARTEST S M AA1 R T AH0 S T +SMARTIES S M AA1 R T IY0 Z +SMARTING S M AA1 R T IH0 NG +SMARTISH S M AA1 R T IH0 SH +SMARTLY S M AA1 R T L IY0 +SMARTMONEY S M AA1 R T M AH2 N IY0 +SMARTNESS S M AA1 R T N IH0 S +SMARTPHONE S M AA1 R T F OW2 N +SMARTPHONES S M AA1 R T F OW2 N Z +SMARTS S M AA1 R T S +SMARTT S M AA1 R T +SMARTY S M AA1 R T IY0 +SMASH S M AE1 SH +SMASHED S M AE1 SH T +SMASHER S M AE1 SH ER0 +SMASHES S M AE1 SH IH0 Z +SMASHING S M AE1 SH IH0 NG +SMATHER S M AE1 DH ER0 +SMATHERS S M AE1 DH ER0 Z +SMATTER S M AE1 T ER0 +SMATTERING S M AE1 T ER0 IH0 NG +SMAY S M EY1 +SMEAD S M IY1 D +SMEAL S M IY1 L +SMEAR S M IH1 R +SMEARED S M IH1 R D +SMEARING S M IH1 R IH0 NG +SMEARS S M IH1 R Z +SMEBY S M IY1 B IY0 +SMEDBERG S M EH1 D B ER0 G +SMEDLEY S M EH1 D L IY0 +SMEE S M IY1 +SMEETING S M IY1 T IH0 NG +SMEJKAL S M EH1 JH K AH0 L +SMELCER S M EH1 L S ER0 +SMELL S M EH1 L +SMELLED S M EH1 L D +SMELLEY S M EH1 L IY0 +SMELLING S M EH1 L IH0 NG +SMELLS S M EH1 L Z +SMELLY S M EH1 L IY0 +SMELSER S M EH1 L S ER0 +SMELT S M EH1 L T +SMELTER S M EH1 L T ER0 +SMELTER'S S M EH1 L T ER0 Z +SMELTERS S M EH1 L T ER0 Z +SMELTING S M EH1 L T IH0 NG +SMELTZ S M EH1 L T S +SMELTZER S M EH1 L T Z ER0 +SMESTAD S M EH1 S T AH0 D +SMET S M EH1 T +SMETANA S M EH1 T AH0 N AH0 +SMETHERS S M EH1 DH ER0 Z +SMETHURST S M EH1 TH ER0 S T +SMETZER S M EH1 T Z ER0 +SMICK S M IH1 K +SMID S M IH1 D +SMIDDY S M IH1 D IY0 +SMIDGEN S M IH1 JH AH0 N +SMIDT S M IH1 D T +SMIGEL S M IH1 JH AH0 L +SMIGELSKI S M IH0 G EH1 L S K IY0 +SMIGIEL S M IH1 JH IY0 L +SMIGIELSKI S M IH0 G IY1 L S K IY0 +SMILE S M AY1 L +SMILED S M AY1 L D +SMILES S M AY1 L Z +SMILEY S M AY1 L IY0 +SMILGIS S M IH1 L G IH0 Z +SMILGIS(2) S M IH1 L JH IH0 Z +SMILIE S M IH1 L IY0 +SMILING S M AY1 L IH0 NG +SMILINGLY S M AY1 L IH0 NG L IY0 +SMILLIE S M IH1 L IY0 +SMILOW S M IH1 L OW0 +SMINK S M IH1 NG K +SMIRK S M ER1 K +SMIRKING S M ER1 K IH0 NG +SMIRKS S M ER1 K S +SMIRNOFF S M ER1 N AO0 F +SMIRNOV S M ER1 N AA0 F +SMIRNOVA S M ER2 N OW1 V AH0 +SMISEK S M IH1 S EH0 K +SMIT S M IH1 T +SMITH S M IH1 TH +SMITH'S S M IH1 TH S +SMITHBURG S M IH1 TH B ER0 G +SMITHEE S M IH1 TH IY1 +SMITHER S M IH1 DH ER0 +SMITHEREEN S M IH2 DH ER0 IY1 N +SMITHEREENS S M IH2 DH ER0 IY1 N Z +SMITHERMAN S M IH1 DH ER0 M AH0 N +SMITHERS S M IH1 DH ER0 Z +SMITHEY S M IH1 TH IY0 +SMITHFIELD S M IH1 TH F IY0 L D +SMITHHART S M IH1 TH HH AA2 R T +SMITHKLINE S M IH1 TH K L AY2 N +SMITHKLINE'S S M IH1 TH K L AY2 N Z +SMITHS S M IH1 TH S +SMITHSON S M IH1 TH S AH0 N +SMITHSON'S S M IH1 TH S AH0 N Z +SMITHSONIAN S M IH0 TH S OW1 N IY0 AH0 N +SMITHSONIAN(2) S M IH0 S OW1 N IY0 AH0 N +SMITHSONIAN'S S M IH2 TH S OW1 N IY0 AH0 N Z +SMITHSONIAN'S(2) S M IH2 S OW1 N IY0 AH0 N Z +SMITHTOWN S M IH1 TH T AW2 N +SMITHWICK S M IH1 TH W IH2 K +SMITLEY S M IH1 T L IY0 +SMITS S M IH1 T S +SMITTEN S M IH1 T AH0 N +SMITTLE S M IH1 T AH0 L +SMITTY S M IH1 T IY0 +SMOAK S M OW1 K +SMOCK S M AA1 K +SMOG S M AA1 G +SMOGGIEST S M AA1 G IY0 AH0 S T +SMOGGY S M AO1 G IY0 +SMOKE S M OW1 K +SMOKED S M OW1 K T +SMOKEJUMPER S M OW1 K JH AH2 M P ER0 +SMOKEJUMPERS S M OW1 K JH AH2 M P ER0 Z +SMOKELESS S M OW1 K L AH0 S +SMOKER S M OW1 K ER0 +SMOKER'S S M OW1 K ER0 Z +SMOKERS S M OW1 K ER0 Z +SMOKERS' S M OW1 K ER0 Z +SMOKES S M OW1 K S +SMOKESCREEN S M OW1 K S K R IY2 N +SMOKESTACK S M OW1 K S T AE2 K +SMOKESTACKS S M OW1 K S T AE2 K S +SMOKEY S M OW1 K IY0 +SMOKING S M OW1 K IH0 NG +SMOKING'S S M OW1 K IH0 NG Z +SMOKY S M OW1 K IY0 +SMOLA S M OW1 L AA0 +SMOLAK S M OW1 L AH0 K +SMOLDER S M OW1 L D ER0 +SMOLDERING S M OW1 L D ER0 IH0 NG +SMOLEN S M AA1 L AH0 N +SMOLENSK S M OW0 L EH1 N S K +SMOLENSKI S M AH0 L EH1 N S K IY0 +SMOLEY S M OW1 L IY0 +SMOLIK S M OW1 L IH0 K +SMOLIN S M OW1 L IH0 N +SMOLINSKI S M AH0 L IH1 N S K IY0 +SMOLINSKY S M AH0 L IH1 N S K IY0 +SMOLKA S M OW1 L K AH0 +SMOOCH S M UW1 CH +SMOOCHES S M UW1 CH IH0 Z +SMOOT S M UW1 T +SMOOTH S M UW1 DH +SMOOTH-SHAVEN S M UW2 TH SH EY1 V AH0 N +SMOOTHED S M UW1 DH D +SMOOTHEN S M UW1 DH IH0 N +SMOOTHENS S M UW1 DH IH0 N Z +SMOOTHER S M UW1 DH ER0 +SMOOTHEST S M UW1 DH AH0 S T +SMOOTHING S M UW1 DH IH0 NG +SMOOTHLY S M UW1 DH L IY0 +SMOOTHNESS S M UW1 DH N AH0 S +SMOOTHS S M UW1 DH Z +SMOOTS S M UW1 T S +SMORGASBORD S M AO1 R G AH0 S B AO2 R D +SMOSH S M UH1 SH +SMOSHED S M UH1 SH T +SMOSHES S M UH1 SH AH0 Z +SMOSHING S M UH1 SH IH0 NG +SMOTHER S M AH1 DH ER0 +SMOTHERED S M AH1 DH ER0 D +SMOTHERING S M AH1 DH ER0 IH0 NG +SMOTHERMAN S M AH1 DH ER0 M AH0 N +SMOTHERMON S M AA1 TH ER0 M OW0 N +SMOTHERS S M AH1 DH ER0 Z +SMOTRICH S M AA1 T R IH0 K +SMOUSE S M AW1 S +SMOYER S M OY1 ER0 +SMREKAR S M R EH1 K ER0 +SMREKAR(2) S M ER1 IH0 K ER0 +SMS EH2 S EH2 M EH1 S +SMUCK S M AH1 K +SMUCKER S M AH1 K ER0 +SMUDGE S M AH1 JH +SMUDGED S M AH1 JH D +SMUG S M AH1 G +SMUGGLE S M AH1 G AH0 L +SMUGGLED S M AH1 G AH0 L D +SMUGGLER S M AH1 G L ER0 +SMUGGLER(2) S M AH1 G AH0 L ER0 +SMUGGLER'S S M AH1 G L ER0 Z +SMUGGLERS S M AH1 G L ER0 Z +SMUGGLERS(2) S M AH1 G AH0 L ER0 Z +SMUGGLERS' S M AH1 G L ER0 Z +SMUGGLERS'(2) S M AH1 G AH0 L ER0 Z +SMUGGLING S M AH1 G L IH0 NG +SMUGGLING(2) S M AH1 G AH0 L IH0 NG +SMUGLY S M AH1 G L IY0 +SMUGNESS S M AH1 G N AH0 S +SMULL S M AH1 L +SMULLEN S M AH1 L AH0 N +SMURF S M ER1 F +SMURFIT S M ER1 F IH0 T +SMURFS S M ER1 F S +SMUT S M AH1 T +SMUTTY S M AH1 T IY2 +SMYERS S M AY1 ER0 Z +SMYLIE S M IH1 L IY0 +SMYLY S M IH1 L IY0 +SMYRE S M AY1 R +SMYRNA S M ER1 N AH0 +SMYSER S M AY1 S ER0 +SMYTH S M AY1 TH +SMYTH(2) S M IH1 TH +SMYTHE S M AY1 DH +SNABEL S N AA1 B AH0 L +SNACK S N AE1 K +SNACKBAR S N AE1 K B AA0 R +SNACKED S N AE1 K T +SNACKING S N AE1 K IH0 NG +SNACKS S N AE1 K S +SNACKWELL S N AE1 K W EH2 L +SNACKWELL'S S N AE1 K W EH2 L Z +SNACKWELLS S N AE1 K W EH2 L Z +SNADER S N EY1 D ER0 +SNAFU S N AE1 F UW0 +SNAFUS S N AE1 F AH0 S +SNAG S N AE1 G +SNAGGED S N AE1 G D +SNAGGER S N AE1 G ER0 +SNAGGERS S N AE1 G ER0 Z +SNAGGING S N AE1 G IH0 NG +SNAGS S N AE1 G Z +SNAIL S N EY1 L +SNAIL'S S N EY1 L Z +SNAILS S N EY1 L Z +SNAKE S N EY1 K +SNAKE'S S N EY1 K S +SNAKEBITE S N EY1 K B AY2 T +SNAKEBITES S N EY1 K B AY2 T S +SNAKELIKE S N EY1 K L AY2 K +SNAKES S N EY1 K S +SNAKING S N EY1 K IH0 NG +SNAP S N AE1 P +SNAPCHAT S N AE1 P CH AE2 T +SNAPDRAGON S N AE1 P D R AE2 G AH0 N +SNAPDRAGONS S N AE1 P D R AE2 G AH0 N Z +SNAPE S N EY1 P +SNAPP S N AE1 P +SNAPPED S N AE1 P T +SNAPPER S N AE1 P ER0 +SNAPPIEST S N AE1 P IH0 EH2 S T +SNAPPING S N AE1 P IH0 NG +SNAPPLE S N AE1 P AH0 L +SNAPPLE'S S N AE1 P AH0 L Z +SNAPPLES S N AE1 P AH0 L Z +SNAPPY S N AE1 P IY0 +SNAPS S N AE1 P S +SNAPSHOT S N AE1 P SH AA2 T +SNAPSHOTS S N AE1 P SH AA2 T S +SNARE S N EH1 R +SNARED S N EH1 R D +SNARES S N EH1 R Z +SNARING S N EH1 R IH0 NG +SNARL S N AA1 R L +SNARLED S N AA1 R AH0 L D +SNARLING S N AA1 R L IH0 NG +SNARLS S N AA1 R L Z +SNARR S N AE1 R +SNARSKI S N AA1 R S K IY0 +SNATCH S N AE1 CH +SNATCHED S N AE1 CH T +SNATCHER S N AE1 CH ER0 +SNATCHERS S N AE1 CH ER0 Z +SNATCHES S N AE1 CH IH0 Z +SNATCHING S N AE1 CH IH0 NG +SNAVELY S N EY1 V L IY0 +SNAY S N EY1 +SNAZZIER S N AE1 Z IY0 ER0 +SNAZZY S N AE1 Z IY0 +SNEAD S N IY1 D +SNEAK S N IY1 K +SNEAKED S N IY1 K T +SNEAKER S N IY1 K ER0 +SNEAKERS S N IY1 K ER0 Z +SNEAKING S N IY1 K IH0 NG +SNEAKS S N IY1 K S +SNEAKY S N IY1 K IY0 +SNEARY S N IH1 R IY0 +SNEATH S N EH1 TH +SNECMA S N EH1 K M AA0 +SNEDAKER S N EH1 D AH0 K ER0 +SNEDDEN S N EH1 D AH0 N +SNEDDON S N EH1 D AH0 N +SNEDEGAR S N EH1 D IH0 G ER0 +SNEDEKER S N EH1 D IH0 K ER0 +SNEE S N IY1 +SNEED S N IY1 D +SNEER S N IH1 R +SNEERED S N IH1 R D +SNEERING S N IH1 R IH0 NG +SNEERINGER S N IH1 R IH0 N JH ER0 +SNEERS S N IH1 R Z +SNEEZE S N IY1 Z +SNEEZED S N IY1 Z D +SNEEZES S N IY1 Z IH0 Z +SNEEZING S N IY1 Z IH0 NG +SNEH S N EH1 +SNEIDER S N AY1 D ER0 +SNELGROVE S N EH1 L G R OW2 V +SNELL S N EH1 L +SNELLEN S N EH1 L AH0 N +SNELLENBERGER S N EH1 L AH0 N B ER0 G ER0 +SNELLER S N EH1 L ER0 +SNELLGROVE S N EH1 L G R OW2 V +SNELLING S N EH1 L IH0 NG +SNELLINGS S N EH1 L IH0 NG Z +SNELSON S N EH1 L S AH0 N +SNETHEN S N EH1 TH AH0 N +SNIA S N IY1 AH0 +SNICKER S N IH1 K ER0 +SNICKERED S N IH1 K ER0 D +SNICKERING S N IH1 K ER0 IH0 NG +SNICKERS S N IH1 K ER0 Z +SNIDE S N AY1 D +SNIDER S N AY1 D ER0 +SNIDOW S N IH1 D OW0 +SNIEGOWSKI S N IY0 G AO1 F S K IY0 +SNIFF S N IH1 F +SNIFFED S N IH1 F T +SNIFFEN S N IH1 F AH0 N +SNIFFER S N IH1 F ER0 +SNIFFIER S N IH1 F IY0 ER0 +SNIFFIEST S N IH1 F IY0 AH0 S T +SNIFFILY S N IH1 F AH0 L IY0 +SNIFFING S N IH1 F IH0 NG +SNIFFLE S N IH1 F AH0 L +SNIFFLER S N IH1 F L ER0 +SNIFFLES S N IH1 F AH0 L Z +SNIFFLING S N IH1 F L IH0 NG +SNIFFS S N IH1 F S +SNIFFY S N IH1 F IY0 +SNIFTER S N IH1 F T ER0 +SNIFTERS S N IH1 F T ER0 Z +SNIP S N IH1 P +SNIPE S N AY1 P +SNIPED S N AY1 P T +SNIPER S N AY1 P ER0 +SNIPER'S S N AY1 P ER0 Z +SNIPERS S N AY1 P ER0 Z +SNIPERS' S N AY1 P ER0 Z +SNIPES S N AY1 P S +SNIPING S N AY1 P IH0 NG +SNIPPET S N IH1 P AH0 T +SNIPPETS S N IH1 P AH0 T S +SNIPS S N IH1 P S +SNITCH S N IH1 CH +SNITCHING S N IH1 CH IH0 NG +SNITKER S N IH1 T K ER0 +SNITZER S N IH1 T Z ER0 +SNIVELY S N AY1 V L IY0 +SNOB S N AA1 B +SNOBBERY S N AA1 B ER0 IY0 +SNOBBISH S N AA1 B IH0 SH +SNOBBY S N AA1 B IY0 +SNOBS S N AA1 B Z +SNODDERLY S N AA1 D ER0 L IY0 +SNODDY S N AA1 D IY0 +SNODGRASS S N AA1 D G R AE2 S +SNOG S N AO1 G +SNOHOMISH S N AA1 HH AH0 M IH0 SH +SNOKE S N OW1 K +SNOOK S N UH1 K +SNOOKER S N UH1 K ER0 +SNOOKERED S N UH1 K ER0 D +SNOOKS S N UH1 K S +SNOOP S N UW1 P +SNOOPING S N UW1 P IH0 NG +SNOOPS S N UW1 P S +SNOOPY S N UW1 P IY0 +SNOOTY S N UW1 T IY0 +SNOOZE S N UW1 Z +SNOOZING S N UW1 Z IH0 NG +SNORE S N AO1 R +SNORER S N AO1 R ER0 +SNORERS S N AO1 R ER0 Z +SNORES S N AO1 R Z +SNORING S N AO1 R IH0 NG +SNORKEL S N AO1 R K AH0 L +SNORKELING S N AO1 R K AH0 L IH2 NG +SNORT S N AO1 R T +SNORTED S N AO1 R T IH0 D +SNORTER S N AO1 R T ER0 +SNORTERS S N AO1 R T ER0 Z +SNORTING S N AO1 R T IH0 NG +SNORTS S N AO1 R T S +SNOT S N AO1 T +SNOT-FACE S N AO1 T F EY2 S +SNOT-FACED S N AO1 T F EY2 S T +SNOTTY S N AO1 T IY2 +SNOUFFER S N OW1 F ER0 +SNOUT S N AW1 T +SNOUT'S S N AW1 T S +SNOUTS S N AW1 T S +SNOVER S N OW1 V ER0 +SNOW S N OW1 +SNOW'S S N OW1 Z +SNOWBALL S N OW1 B AO2 L +SNOWBALL'S S N OW1 B AO2 L Z +SNOWBALLED S N OW1 B AO2 L D +SNOWBALLING S N OW1 B AO2 L IH0 NG +SNOWBALLS S N OW1 B AO2 L Z +SNOWBERGER S N OW1 B ER0 G ER0 +SNOWBIRD S N OW1 B ER2 D +SNOWBIRDS S N OW1 B ER2 D Z +SNOWBOARD S N OW1 B AO2 R D +SNOWBOARDER S N OW1 B AO2 R D ER0 +SNOWBOARDERS S N OW1 B AO2 R D ER0 Z +SNOWBOARDS S N OW1 B AO2 R D Z +SNOWBOUND S N OW1 B AW2 N D +SNOWDEN S N OW1 D AH0 N +SNOWDON S N OW1 D AH0 N +SNOWE S N OW1 +SNOWED S N OW1 D +SNOWFALL S N OW1 F AA0 L +SNOWFALLS S N OW1 F AA0 L Z +SNOWFLAKE S N OW1 F L EY2 K +SNOWFLAKES S N OW1 F L EY2 K S +SNOWING S N OW1 IH0 NG +SNOWMAN S N OW1 M AE2 N +SNOWMOBILE S N OW1 M OW0 B IY2 L +SNOWMOBILES S N OW1 M OW0 B IY2 L Z +SNOWPLOW S N OW1 P L AW2 +SNOWPLOWS S N OW1 P L AW2 Z +SNOWS S N OW1 Z +SNOWSHOE S N OW1 SH UW2 +SNOWSHOES S N OW1 SH UW2 Z +SNOWSTORM S N OW1 S T AO2 R M +SNOWSTORMS S N OW1 S T AO2 R M Z +SNOWY S N OW1 IY0 +SNUB S N AH1 B +SNUBBED S N AH1 B D +SNUBBING S N AH1 B IH0 NG +SNUBS S N AH1 B Z +SNUCK S N AH1 K +SNUFF S N AH1 F +SNUFFED S N AH1 F T +SNUFFER S N AH1 F ER0 +SNUFFING S N AH1 F IH0 NG +SNUFFS S N AH1 F S +SNUG S N AH1 G +SNUGGING S N AH1 G IH0 NG +SNUGGLE S N AH1 G AH0 L +SNUGGLED S N AH1 G AH0 L D +SNUGGS S N AH1 G Z +SNUGLY S N AH1 G L IY0 +SNYDER S N AY1 D ER0 +SNYDER'S S N AY1 D ER0 Z +SNYDERGENERAL S N AY2 D ER0 JH EH1 N ER0 AH0 L +SO S OW1 +SO'S S OW1 Z +SO-CALLED S OW1 K AO1 L D +SO-SO S OW1 S OW1 +SOADY S OW1 D IY0 +SOAK S OW1 K +SOAKED S OW1 K T +SOAKER S OW1 K ER0 +SOAKING S OW1 K IH0 NG +SOAKS S OW1 K S +SOAP S OW1 P +SOAPBOX S OW1 P B AA2 K S +SOAPS S OW1 P S +SOAPY S OW1 P IY0 +SOAR S AO1 R +SOARD S AO1 R D +SOARED S AO1 R D +SOARES S AO1 R EH0 S +SOARING S AO1 R IH0 NG +SOARS S AO1 R Z +SOAVE S OW1 V +SOB S AA1 B +SOBBED S AA1 B D +SOBBING S AA1 B IH0 NG +SOBBINGLY S AA1 B IH0 NG L IY0 +SOBCZAK S AA1 B CH AE0 K +SOBCZYK S AA1 B CH IH0 K +SOBECK S OW1 B EH2 K +SOBECKI S AH0 B EH1 T S K IY0 +SOBEK S OW1 B IH0 K +SOBEL S OW1 B AH0 L +SOBELMAN S OW1 B AH0 L M AH0 N +SOBER S OW1 B ER0 +SOBERED S OW1 B ER0 D +SOBERING S OW1 B ER0 IH0 NG +SOBERLY S OW1 B ER0 L IY0 +SOBERS S OW1 B ER0 Z +SOBEY S OW1 B IY0 +SOBIBOR S OW0 B IY1 B AO0 R +SOBIBOR(2) S OW0 B IH1 B AO0 R +SOBIECH S AA1 B IY0 HH +SOBIESKI S OW2 B IY0 EH1 S K IY0 +SOBIL S OW1 B AH0 L +SOBIL'S S OW1 B AH0 L Z +SOBILS S OW1 B AH0 L Z +SOBIN S OW1 B IH0 N +SOBKOWIAK S AH0 B K AW1 IY0 AE0 K +SOBLE S OW1 B AH0 L +SOBOCINSKI S AH0 B AH0 CH IH1 N S K IY0 +SOBOL S OW1 B AH0 L +SOBOLESKI S AH0 B AH0 L EH1 S K IY0 +SOBOLEWSKI S AH0 B AH0 L EH1 F S K IY0 +SOBOLIK S AH0 B OW1 L IH0 K +SOBON S OW0 B AO1 N +SOBOTA S AH0 B OW1 T AH0 +SOBOTKA S AH0 B OW1 T K AH0 +SOBOTTA S OW0 B OW1 T AH0 +SOBRIETY S AH0 B R AY1 AH0 T IY0 +SOBRIQUET S OW1 B R AH0 K EY2 +SOBRIQUET(2) S AH2 B R AH0 K EH1 T +SOBS S AA1 B Z +SOCAL S OW1 K AH0 L +SOCALLED S OW1 K AA2 L D +SOCANAV S AA1 K AH0 N AA0 V +SOCARRAS S OW0 K AA1 R AA0 Z +SOCCER S AA1 K ER0 +SOCCER'S S AA1 K ER0 Z +SOCCI S OW1 CH IY0 +SOCHA S OW1 CH AH0 +SOCHACKI S AH0 CH AE1 K IY0 +SOCHET S OW0 SH EY1 +SOCHI S OW1 CH IY0 +SOCHOR S AA1 K ER0 +SOCIA S OW1 CH AH0 +SOCIABLE S OW1 SH AH0 B AH0 L +SOCIAL S OW1 SH AH0 L +SOCIALISM S OW1 SH AH0 L IH2 Z AH0 M +SOCIALIST S OW1 SH AH0 L AH0 S T +SOCIALIST(2) S OW1 SH AH0 L IH0 S T +SOCIALISTIC S OW2 SH AH0 L IH1 S T IH0 K +SOCIALISTS S OW1 SH AH0 L AH0 S T S +SOCIALISTS(2) S OW1 SH AH0 L IH0 S T S +SOCIALISTS' S OW1 SH AH0 L IH0 S T S +SOCIALITE S OW1 SH AH0 L AY2 T +SOCIALITES S OW1 SH AH0 L AY2 T S +SOCIALIZATION S OW2 SH AH0 L IH0 Z EY1 SH AH0 N +SOCIALIZE S OW1 SH AH0 L AY2 Z +SOCIALIZED S OW1 SH AH0 L AY2 Z D +SOCIALIZING S OW1 SH AH0 L AY2 Z IH0 NG +SOCIALLY S OW1 SH AH0 L IY0 +SOCIEDAD S OW2 S IY0 D AE1 D +SOCIETA S OW2 S IY0 EH1 T AH0 +SOCIETAL S AH0 S AY1 IH0 T AH0 L +SOCIETE S OW2 S IY0 EH0 T EY1 +SOCIETIES S AH0 S AY1 AH0 T IY0 Z +SOCIETY S AH0 S AY1 AH0 T IY0 +SOCIETY'S S AH0 S AY1 AH0 T IY0 Z +SOCIO S OW1 S IY0 OW0 +SOCIOECONOMIC S OW0 S IY2 OW2 EH2 K AH0 N AA1 M IH0 K +SOCIOLOGICAL S OW2 S IY0 AH0 L AA1 JH IH0 K AH0 L +SOCIOLOGIST S OW2 S IY0 AA1 L AH0 JH IH0 S T +SOCIOLOGISTS S OW2 S IY0 AA1 L AH0 JH IH0 S T S +SOCIOLOGY S OW2 S IY0 AA1 L AH0 JH IY0 +SOCIOPATH S OW1 S IY0 OW0 P AE2 TH +SOCIOPATHS S OW1 S IY0 OW0 P AE2 DH Z +SOCK S AA1 K +SOCKED S AA1 K T +SOCKET S AA1 K AH0 T +SOCKETS S AA1 K AH0 T S +SOCKING S AA1 K IH0 NG +SOCKS S AA1 K S +SOCKWELL S AA1 K W EH2 L +SOCO S OW1 K OW1 +SOCO(2) S AA1 K OW0 +SOCO'S S OW1 K OW1 Z +SOCO'S(2) S AA1 K OW0 Z +SOCOL S OW1 K AA2 L +SOCRATES S AA1 K R AH0 T IY2 Z +SOCRATIC S AH0 K R AE1 T IH0 K +SOD S AA1 D +SODA S OW1 D AH0 +SODA'S S OW1 D AH0 Z +SODANO S OW0 D AA1 N OW0 +SODARO S OW0 D AA1 R OW0 +SODAS S OW1 D AH0 Z +SODDEN S AA1 D AH0 N +SODDERS S AA1 D ER0 Z +SODECOM S OW1 D AH0 K AA0 M +SODEN S OW1 D AH0 N +SODER S OW1 D ER0 +SODERBERG S OW1 D ER0 B ER0 G +SODERBERGH S OW1 D ER0 B ER0 G +SODERBLOM S OW1 D ER0 B L AA2 M +SODERGREN S AA1 D ER0 G R EH0 N +SODERHOLM S OW1 D ER0 HH OW0 L M +SODERLUND S AA1 D ER0 L AH0 N D +SODERMAN S OW1 D ER0 M AH0 N +SODERQUIST S AA1 D ER0 K W IH0 S T +SODERSTROM S AA1 D ER0 S T R AH0 M +SODITIC S OW0 D IH1 T IH0 K +SODIUM S OW1 D IY0 AH0 M +SODOM S AO1 D AH0 M +SODOMIZE S AO1 D AH0 M AY2 Z +SODOMIZED S AO1 D AH0 M AY2 Z D +SODOMIZER S AO1 D AH0 M AY2 Z ER0 +SODOMIZES S AO1 D AH0 M AY2 Z AH0 Z +SODOMIZING S AO1 D AH0 M AY2 Z IH0 NG +SODOMY S AA1 D AH0 M IY0 +SODUS S OW1 D AH0 S +SOEDER S OW1 D ER0 +SOENS S OW1 N Z +SOERENSEN S AO1 R AH0 N S AH0 N +SOFA S OW1 F AH0 +SOFAER S OW0 F EY1 R +SOFAMOR S OW1 F AH0 M AO2 R +SOFAS S OW1 F AH0 Z +SOFER S OW1 F ER0 +SOFER'S S OW1 F ER0 Z +SOFFEL S AO1 F AH0 L +SOFFER S AO1 F ER0 +SOFFIT S AO1 F IH0 T +SOFIA S OW0 F IY1 AH0 +SOFIA'S S OW0 F IY1 AH0 Z +SOFIAN S OW0 F IY1 AH0 N +SOFIANS S OW0 F IY1 AH0 N Z +SOFIE S AA1 F IY0 +SOFITEL S AA1 F AH0 T EH2 L +SOFRANKO S AH0 F R AE1 NG K OW0 +SOFT S AA1 F T +SOFT(2) S AO1 F T +SOFTBALL S AO1 F T B AO2 L +SOFTBALL(2) S AO1 F B AO2 L +SOFTBALLS S AO1 F T B AO2 L Z +SOFTBALLS(2) S AO1 F B AO2 L Z +SOFTBANK S AO1 F T B AE2 NG K +SOFTDRINK S AO1 F T D R IH2 NG K +SOFTECH S AO1 F T EH2 K +SOFTEN S AA1 F AH0 N +SOFTEN(2) S AO1 F AH0 N +SOFTENED S AO1 F AH0 N D +SOFTENER S AO1 F AH0 N ER0 +SOFTENING S AO1 F AH0 N IH0 NG +SOFTENING(2) S AO1 F N IH0 NG +SOFTENS S AO1 F AH0 N Z +SOFTER S AA1 F T ER0 +SOFTER(2) S AO1 F T ER0 +SOFTEST S AO1 F T AH0 S T +SOFTIMAGE S AO1 F T IH2 M IH0 JH +SOFTKEY S AA1 F T K EY2 +SOFTLETTER S AO1 F T L EH2 T ER0 +SOFTLY S AO1 F T L IY0 +SOFTLY(2) S AO1 F L IY0 +SOFTNESS S AO1 F T N AH0 S +SOFTNESS(2) S AO1 F N AH0 S +SOFTSOAP S AO1 F T S OW2 P +SOFTSOAP(2) S AO1 F S OW2 P +SOFTSPOKEN S AO1 F T S P OW1 K AH0 N +SOFTSPOKEN(2) S AO1 F S P OW1 K AH0 N +SOFTWARE S AO1 F T W EH2 R +SOFTWARE(2) S AO1 F W EH2 R +SOFTWARE'S S AO1 F T W EH2 R Z +SOFTWARE'S(2) S AO1 F W EH2 R Z +SOFTWOOD S AO1 F T W UH2 D +SOGANG S OW1 G AE0 NG +SOGGY S AA1 G IY0 +SOGO S OW1 G OW0 +SOHIO S OW0 HH AY1 OW0 +SOHL S OW1 L +SOHM S OW1 M +SOHMER S OW1 M ER0 +SOHN S AA1 N +SOHNS S AA1 N Z +SOHO S OW1 HH OW0 +SOIFER S OY1 F ER0 +SOIFFER S OY1 F ER0 +SOIL S OY1 L +SOIL'S S OY1 L Z +SOILEAU S OY2 L OW1 +SOILED S OY1 L D +SOILS S OY1 L Z +SOIR S OY1 R +SOIREE S W AA0 R EY1 +SOISSON S OY1 Z S AH0 N +SOJA S OW1 JH AH0 +SOJKA S OY1 K AH0 +SOJOURN S OW1 JH ER0 N +SOJOURNER S OW1 JH ER0 N ER0 +SOJOURNERS S OW1 JH ER0 N ER0 Z +SOJOURNING S OW1 JH ER0 N IH0 NG +SOK S AA1 K 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L AH0 N D +SOUTHERLY S AH1 DH ER0 L IY0 +SOUTHERN S AH1 DH ER0 N +SOUTHERN'S S AH1 DH ER0 N Z +SOUTHERNER S AH1 DH ER0 N ER0 +SOUTHERNERS S AH1 DH ER0 N ER0 Z +SOUTHERNMOST S AH1 DH ER0 N M OW2 S T +SOUTHERNNET S AH1 DH ER0 N EH0 T +SOUTHERNNET'S S AH1 DH ER0 N EH0 T S +SOUTHERS S AH1 DH ER0 Z +SOUTHFIELD S AW1 TH F IY2 L D +SOUTHGATE S AW1 TH G EY2 T +SOUTHIN S AW1 TH IH2 N +SOUTHLAND S AW1 TH L AE2 N D +SOUTHLAND'S S AW1 TH L AE2 N D Z +SOUTHLIFE S AW1 TH L AY2 F +SOUTHMARK S AW1 TH M AA2 R K +SOUTHMARK'S S AW1 TH M AA2 R K S +SOUTHOLD S AW1 TH OW2 L D +SOUTHPAW S AW1 TH P AW2 +SOUTHPORT S AW1 TH P AO2 R T +SOUTHS S AW1 TH S +SOUTHSIDE S AW1 TH S AY2 D +SOUTHSTATE S AW1 TH S T EY2 T +SOUTHWALL S AW1 TH W AO2 L +SOUTHWARD S AW1 TH W ER0 D +SOUTHWAY S AW1 TH W EY2 +SOUTHWELL S AW1 TH W EH2 L +SOUTHWEST S AW2 TH W EH1 S T +SOUTHWEST'S S AW2 TH W EH1 S T S +SOUTHWESTERN S AW2 TH W EH1 S T ER0 N +SOUTHWICK S AW1 TH W IH0 K +SOUTHWOOD S AW1 TH W UH2 D +SOUTHWORTH S AW1 TH W ER0 TH +SOUTO S UW1 T OW0 +SOUVENIR S UW2 V AH0 N IH1 R +SOUVENIRS S UW2 V AH0 N IH1 R Z +SOUVEROFF S UW1 V ER0 AO0 F +SOUZA S UW1 Z AH0 +SOUZAS S UW1 Z AH0 Z +SOVA S OW1 V AH0 +SOVEREIGN S AA1 V R AH0 N +SOVEREIGNS S AA1 V R AH0 N Z +SOVEREIGNTY S AA1 V R AH0 N T IY0 +SOVETSKAYA S OW2 V EH0 T S K AY1 AA0 +SOVEXPORTFILM S OW2 V EH2 K S P AO0 R T F IH1 L M +SOVEY S OW1 V IY0 +SOVIET S OW1 V IY0 AH0 T +SOVIET(2) S OW1 V IY0 EH2 T +SOVIET'S S OW1 V IY0 EH2 T S +SOVIET-UNION S OW1 V IY0 EH2 T Y UW1 N Y AH0 N +SOVIETOLOGIST S OW2 V IY0 AH0 T AA1 L AH0 JH IH0 S T +SOVIETOLOGISTS S OW2 V IY0 AH0 T AA1 L AH0 JH IH0 S T S +SOVIETS S OW1 V IY0 EH2 T S +SOVIETS' S OW1 V IY0 EH2 T S +SOVINE S AA1 V AY0 N +SOVRAN S AA1 V R AH0 N +SOVRAN'S S AA1 V R AH0 N Z +SOVRANS S AA1 V R AH0 N Z +SOVYETSKY S OW0 V Y EH1 T S K IY2 +SOW S AW1 +SOW(2) S OW1 +SOWA S OW1 AH0 +SOWARD S OW1 ER0 D +SOWARDS S OW1 ER0 D Z +SOWASH S OW1 AH0 SH +SOWATA S OW2 AA1 T AH0 +SOWATA'S S OW2 AA1 T AH0 Z +SOWDEN S OW1 D AH0 N +SOWDER S OW1 D ER0 +SOWDERS S OW1 D ER0 Z +SOWED S AW1 D +SOWED(2) S OW1 D +SOWELL S AA1 W EH0 L +SOWER S OW1 ER0 +SOWERS S OW1 ER0 Z +SOWETO S OW0 EY1 T OW0 +SOWING S OW1 IH0 NG +SOWINSKI S OW0 IH1 N S K IY0 +SOWLE S OW1 L +SOWLES S OW1 L Z +SOWN S OW1 N +SOWS S OW1 Z +SOX S AA1 K S +SOX'S S AA1 K S IH0 Z +SOY S OY1 +SOYA S OY1 AH0 +SOYARS S OY1 ER0 Z +SOYBEAN S OY1 B IY2 N +SOYBEANS S OY1 B IY2 N Z +SOYKA S OY1 K AH0 +SOYSAUCE S OY1 S AO2 S +SOYUZ S OY1 AH0 Z +SOYUZ(2) S OY1 UW2 Z +SOYUZ'S S OY1 AH0 Z IH0 Z +SOYUZ'S(2) S OY1 UW2 Z IH0 Z +SOZA S OW1 Z AH0 +SOZIO S OW1 Z IY0 OW0 +SPA S P AA1 +SPACE S P EY1 S +SPACE-TIME S P EY1 S T AY2 M +SPACEBALL S P EY1 S B AO2 L +SPACEBALLS S P EY1 S B AO2 L Z +SPACEBAND S P EY1 S B AE2 N D +SPACEBANDS S P EY1 S B AE2 N D Z +SPACECRAFT S P EY1 S K R AE2 F T +SPACECRAFT'S S P EY1 S K R AE2 F T S +SPACED S P EY1 S T +SPACEHAB S P EY1 S HH AE2 B +SPACEK S P AA1 CH EH2 K +SPACEK(2) S P AA1 S EH2 K +SPACELINK S P EY1 S L IH2 NG K +SPACENET S P EY1 S N EH2 T +SPACEPORT S P EY1 S P AO2 R T +SPACEPORTS S P EY1 S P AO2 R T S +SPACER S P EY1 S ER0 +SPACERS S P EY1 S ER0 Z +SPACES S P EY1 S AH0 Z +SPACES(2) S P EY1 S IH0 Z +SPACESHIP S P EY1 S SH IH2 P +SPACESHIPS S P EY1 S SH IH2 P S +SPACESUIT S P EY1 S UW2 T +SPACESUITS S P EY1 S UW2 T S +SPACEWALK S P EY1 S W AA2 K +SPACEWALKING S P EY1 S W AA2 K IH0 NG +SPACEWALKS S P EY1 S W AA2 K S +SPACEX S P EY1 S AH0 K S +SPACEY S P EY1 S IY0 +SPACIAL S P EY1 SH AH0 L +SPACING S P EY1 S IH0 NG +SPACIOUS S P EY1 SH AH0 S +SPACK S P AE1 K +SPACKLE S P AE1 K AH0 L +SPACKMAN S P AE1 K M AH0 N +SPADA S P AA1 D AH0 +SPADACCINI S P AA0 D AA0 CH IY1 N IY0 +SPADAFORA S P AA0 D AA0 F AO1 R AH0 +SPADAFORE S P AA0 D AO1 F AO0 R +SPADARO S P AA0 D AA1 R OW0 +SPADE S P EY1 D +SPADER S P EY1 D ER0 +SPADES S P EY1 D Z +SPADEWORK S P EY1 D W ER2 K +SPADONI S P AA0 D OW1 N IY0 +SPADY S P EY1 D IY0 +SPAETH S P IY1 TH +SPAFFORD S P AE1 F ER0 D +SPAGHETTI S P AH0 G EH1 T IY0 +SPAGNA S P AE1 G N AH0 +SPAGNOLA S P AA0 G N OW1 L AH0 +SPAGNOLI S P AA0 G N OW1 L IY0 +SPAGNOLO S P AA0 G N OW1 L OW0 +SPAGNUOLO S P AA0 G N Y UW0 OW1 L OW0 +SPAGO S P EY1 G OW0 +SPAHN S P AA1 N +SPAHR S P AA1 R +SPAID S P EY1 D +SPAIN S P EY1 N +SPAIN'S S P EY1 N Z +SPAINHOUR S P AY1 N AW0 R +SPAINHOWER S P AY1 N HH OW0 ER0 +SPAK S P AE1 K +SPAKE S P EY1 K +SPALDING S P AO1 L D IH0 NG +SPALINK S P EY1 L IH2 NG K +SPALINK(2) S P AA1 L IH2 NG K +SPALL S P AO1 L +SPALLA S P AE1 L AH0 +SPALLONE S P AE1 L OW2 N +SPALVINS S P AE1 L V IH0 N Z +SPAM S P AE1 M +SPAMMING S P AE1 M IH0 NG +SPAMPINATO S P AA0 M P IY0 N AA1 T OW0 +SPAN S P AE1 N +SPAN'S S P AE1 N Z +SPANBAUER S P AE1 N B AW0 ER0 +SPANDEX S P AE1 N D AH0 K S +SPANG S P AE1 NG +SPANGENBERG S P AE1 NG AH0 N B ER0 G +SPANGLE S P AE1 NG G AH0 L +SPANGLED S P AE1 NG G AH0 L D +SPANGLER S P AE1 NG G AH0 L ER0 +SPANGLER(2) S P AE1 NG G L ER0 +SPANIARD S P AE1 N Y ER0 D +SPANIARDS S P AE1 N Y ER0 D Z +SPANIEL S P AE1 N Y AH0 L +SPANIER S P AE1 N Y ER0 +SPANIOL S P AE1 N Y AH0 L +SPANISH S P AE1 N IH0 SH +SPANK S P AE1 NG K +SPANKED S P AE1 NG K T +SPANKING S P AE1 NG K IH0 NG +SPANKY S P AE1 N K IY2 +SPANN S P AE1 N +SPANNED S P AE1 N D +SPANNER S P AE1 N ER0 +SPANNING S P AE1 N IH0 NG +SPANNINGER S P AE1 N IH0 NG ER0 +SPANO S P AA1 N OW0 +SPANOS S P EY1 N OW0 Z +SPANS S P AE1 N Z +SPANTON S P AE1 N T AH0 N +SPAR S P AA1 R +SPARACINO S P ER0 AH0 CH IY1 N OW0 +SPARACIO S P ER0 EY1 S IY0 OW0 +SPARACO S P ER0 AE1 K OW0 +SPARANO S P ER0 AE1 N OW0 +SPARC S P AA1 R K +SPARE S P EH1 R +SPARED S P EH1 R D +SPARES S P EH1 R Z +SPARGER S P AA1 R JH ER0 +SPARGO S P AA1 R G OW0 +SPARGUR S P AA1 R G ER0 +SPARING S P EH1 R IH0 NG +SPARINGLY S P EH1 R IH0 NG L IY0 +SPARK S P AA1 R K +SPARKED S P AA1 R K T +SPARKES S P AA1 R K S +SPARKING S P AA1 R K IH0 NG +SPARKLE S P AA1 R K AH0 L +SPARKLED S P AA1 R K AH0 L D +SPARKLES S P AA1 R K AH0 L Z +SPARKLING S P AA1 R K L IH0 NG +SPARKLING(2) S P AA1 R K AH0 L IH0 NG +SPARKLY S P AA1 R K L IY0 +SPARKMAN S P AA1 R K M AH0 N +SPARKS S P AA1 R K S +SPARKY S P AA1 R K IY0 +SPARLIN S P AA1 R L IH0 N +SPARLING S P AA1 R L IH0 NG +SPARR S P AE1 R +SPARRED S P AA1 R D +SPARRING S P AA1 R IH0 NG +SPARROW S P EH1 R OW0 +SPARROWS S P EH1 R OW0 Z +SPARSE S P AA1 R S +SPARSELY S P AA1 R S L IY0 +SPARTA S P AA1 R T AA0 +SPARTACUS S P AA1 R T AH0 K AH0 S +SPARTAN S P AA1 R T AH0 N +SPARTANBURG S P AA1 R T AH0 N B ER2 G +SPARTANS S P AA1 R T AH0 N Z +SPARTECH S P AA1 R T EH2 K +SPARTZ S P AA1 R T S +SPAS S P AA1 Z +SPASM S P AE1 Z AH0 M +SPASMODIC S P AE0 Z M AO1 D IH0 K +SPASMODICALLY S P AE0 Z M AO1 D IH0 K L IY0 +SPASMS S P AE1 Z AH0 M Z +SPASSO S P AE1 S OW2 +SPASTIC S P AE1 S T IH0 K +SPAT S P AE1 T +SPATAFORA S P AA0 T AA0 F AO1 R AA2 +SPATAFORE S P AE1 T AH0 F AO2 R +SPATARO S P AA0 T AA1 R OW2 +SPATE S P EY1 T +SPATES S P EY1 T S +SPATH S P AE1 TH +SPATIAL S P EY1 SH AH0 L +SPATOLA S P AA0 T OW1 L AA0 +SPATS S P AE1 T S +SPATTER S P AE1 T ER0 +SPATTERED S P AE1 T ER0 D +SPATTERING S P AE1 T ER0 IH0 NG +SPATTERS S P AE1 T ER0 Z +SPATULA S P AE1 CH UH2 L AH0 +SPATULAS S P AE1 CH UH2 L AH0 Z +SPATZ S P AE1 T S +SPAUGH S P AO1 +SPAULDING S P AO1 L D IH0 NG +SPAUR S P AO1 R +SPAVO S P AA1 V OW2 +SPAW S P AO1 +SPAWN S P AA1 N +SPAWN(2) S P AO1 N +SPAWNED S P AO1 N D +SPAWNING S P AA1 N IH0 NG +SPAWNING(2) S P AO1 N IH0 NG +SPAWNS S P AA1 N Z +SPAWNS(2) S P AO1 N Z +SPAY S P EY1 +SPAYD S P EY1 D +SPAYDE S P EY1 D +SPAYED S P EY1 D +SPAZ S P AE1 Z +SPAZES S P AE1 Z EH0 Z +SPAZIANI S P AA0 Z IY0 AA1 N IY2 +SPEAGLE S P IY1 G AH0 L +SPEAK S P IY1 K +SPEAK-EASY S P IY1 K IY2 Z IY2 +SPEAKE S P IY1 K +SPEAKER S P IY1 K ER0 +SPEAKER'S S P IY1 K ER0 Z +SPEAKERPHONE S P IY1 K ER0 F OW2 N +SPEAKERS S P IY1 K ER0 Z +SPEAKERSHIP S P IY1 K ER0 SH IH2 P +SPEAKES S P IY1 K S +SPEAKES'S S P IY1 K S IH0 Z +SPEAKING S P IY1 K IH0 NG +SPEAKMAN S P IY1 K M AH0 N +SPEAKS S P IY1 K S +SPEAR S P IH1 R +SPEARE S P IY1 R +SPEARHEAD S P IH1 R HH EH2 D +SPEARHEADED S P IH1 R HH EH2 D IH0 D +SPEARHEADING S P IH1 R HH EH2 D IH0 NG +SPEARING S P IH1 R IH0 NG +SPEARMAN S P IH1 R M AH0 N +SPEARS S P IH1 R Z +SPEAS S P IY1 Z +SPEASE S P IY1 Z +SPEC S P EH1 K +SPECHT S P EH1 K T +SPECIAL S P EH1 SH AH0 L +SPECIAL'S S P EH1 SH AH0 L Z +SPECIALE S P EH1 CH AH0 L IY0 +SPECIALIST S P EH1 SH AH0 L AH0 S T +SPECIALIST(2) S P EH1 SH AH0 L IH0 S T +SPECIALISTS S P EH1 SH AH0 L AH0 S T S +SPECIALISTS(2) S P EH1 SH AH0 L IH0 S T S +SPECIALISTS' S P EH1 SH AH0 L IH0 S T S +SPECIALITIES S P EH1 SH AH0 L T IY0 Z +SPECIALITY S P EH2 SH IY0 AE1 L IH0 T IY0 +SPECIALIZATION S P EH2 SH AH0 L AH0 Z EY1 SH AH0 N +SPECIALIZE S P EH1 SH AH0 L AY2 Z +SPECIALIZED S P EH1 SH AH0 L AY2 Z D +SPECIALIZES S P EH1 SH AH0 L AY2 Z AH0 Z +SPECIALIZES(2) S P EH1 SH AH0 L AY2 Z IH0 Z +SPECIALIZING S P EH1 SH AH0 L AY2 Z IH0 NG +SPECIALLY S P EH1 SH AH0 L IY0 +SPECIALLY(2) S P EH1 SH L IY0 +SPECIALS S P EH1 SH AH0 L Z +SPECIALTIES S P EH1 SH AH0 L T IY0 Z +SPECIALTY S P EH1 SH AH0 L T IY0 +SPECIALTY(2) S P EY1 SH AH0 L T IY0 +SPECIES S P IY1 SH IY0 Z +SPECIES' S P IY1 SH IY0 Z +SPECIFIC S P AH0 S IH1 F IH0 K +SPECIFIC(2) S P IH0 S IH1 F IH0 K +SPECIFICALLY S P AH0 S IH1 F IH0 K L IY0 +SPECIFICATION S P EH2 S IH0 F IH0 K EY1 SH AH0 N +SPECIFICATIONS S P EH2 S AH0 F AH0 K EY1 SH AH0 N Z +SPECIFICITY S P EH2 S AH0 F IH1 S AH0 T IY0 +SPECIFICS S P IH0 S IH1 F IH0 K S +SPECIFIED S P EH1 S AH0 F AY2 D +SPECIFIES S P EH1 S AH0 F AY2 Z +SPECIFY S P EH1 S AH0 F AY2 +SPECIFYING S P EH1 S AH0 F AY2 IH0 NG +SPECIMEN S P EH1 S AH0 M AH0 N +SPECIMENS S P EH1 S AH0 M AH0 N Z +SPECIOUS S P IY1 SH AH0 S +SPECK S P EH1 K +SPECKER S P EH1 K ER0 +SPECKLE S P EH1 K AH0 L +SPECKLED S P EH1 K AH0 L D +SPECKMAN S P EH1 K M AH0 N +SPECKS S P EH1 K S +SPECS S P EH1 K S +SPECTACLE S P EH1 K T AH0 K AH0 L +SPECTACLES S P EH1 K T AH0 K AH0 L Z +SPECTACULAR S P EH0 K T AE1 K Y AH0 L ER0 +SPECTACULARLY S P EH0 K T AE1 K Y AH0 L ER0 L IY0 +SPECTATOR S P EH1 K T EY0 T ER0 +SPECTATORS S P EH1 K T EY0 T ER0 Z +SPECTER S P EH1 K T ER0 +SPECTER'S S P EH1 K T ER0 Z +SPECTHRIE S P EH1 K TH R IY0 +SPECTOR S P EH1 K T ER0 +SPECTRA S P EH1 K T R AH0 +SPECTRA'S S P EH1 K T R AH0 Z +SPECTRADYNE S P EH1 K T R AH0 D AY2 N +SPECTRAL S P EH1 K T R AH0 L +SPECTRAMED S P EH1 K T R AH0 M D +SPECTRAMED(2) S P EH1 K T R AH0 M EH2 D +SPECTRAN S P EH1 K T R AE2 N +SPECTRAVISION S P EH1 K T R AH0 V IH2 ZH AH0 N +SPECTRE S P EH1 K T ER0 +SPECTROGRAPH S P EH1 K T R AH0 G R AE2 F +SPECTROMETER S P EH0 K T R AA1 M AH0 T ER0 +SPECTROMETRY S P EH0 K T R AA1 M AH0 T R IY0 +SPECTROSCOPY S P EH0 K T R AA1 S K AH0 P IY0 +SPECTRUM S P EH1 K T R AH0 M +SPECTRUM'S S P EH1 K T R AH0 M Z +SPECTRUMS S P EH1 K T R AH0 M Z +SPECULATE S P EH1 K Y AH0 L EY2 T +SPECULATED S P EH1 K Y AH0 L EY2 T IH0 D +SPECULATES S P EH1 K Y AH0 L EY2 T S +SPECULATING S P EH1 K Y AH0 L EY2 T IH0 NG +SPECULATION S P EH2 K Y AH0 L EY1 SH AH0 N +SPECULATIONS S P EH2 K Y AH0 L EY1 SH AH0 N Z +SPECULATIVE S P EH1 K Y AH0 L AH0 T IH0 V +SPECULATOR S P EH1 K Y AH0 L EY2 T ER0 +SPECULATORS S P EH1 K Y AH0 L EY2 T ER0 Z +SPECULATORS' S P EH1 K Y AH0 L ER0 T EY2 Z +SPED S P EH1 D +SPEECE S P IY1 S +SPEECH S P IY1 CH +SPEECHES S P IY1 CH AH0 Z +SPEECHES(2) S P IY1 CH IH0 Z +SPEECHIFY S P IY1 CH AH0 F AY2 +SPEECHIFYING S P IY1 CH AH0 F AY2 IH0 NG +SPEECHLESS S P IY1 CH L AH0 S +SPEECHWRITER S P IY1 CH R AY2 T ER0 +SPEECHWRITERS S P IY1 CH R AY2 T ER0 Z +SPEED S P IY1 D +SPEEDBOAT S P IY1 D B OW2 T +SPEEDBOATS S P IY1 D B OW2 T S +SPEEDED S P IY1 D IH0 D +SPEEDER S P IY1 D ER0 +SPEEDERS S P IY1 D ER0 Z +SPEEDIER S P IY1 D IY0 ER0 +SPEEDILY S P IY1 D AH0 L IY0 +SPEEDING S P IY1 D IH0 NG +SPEEDOMETER S P IY0 D AA1 M AH0 T ER0 +SPEEDRING S P IY1 D R IH2 NG +SPEEDS S P IY1 D Z +SPEEDSKATE S P IY1 D S K EY2 T +SPEEDSKATING S P IY1 D S K EY2 T IH0 NG +SPEEDUP S P IY1 D AH2 P +SPEEDWAY S P IY1 D W EY2 +SPEEDY S P IY1 D IY2 +SPEEGLE S P IY1 G AH0 L +SPEELMAN S P IY1 L M AH0 N +SPEER S P IH1 R +SPEES S P IY1 Z +SPEGAL S P IY1 G AH0 L +SPEHAR S P EH1 HH ER0 +SPEICH S P AY1 K +SPEICHER S P AY1 K ER0 +SPEIDEL S P AY1 D AH0 L +SPEIER S P AY1 ER0 +SPEIGHT S P EY1 T +SPEIGHTS S P EY1 T S +SPEIGNER S P AY1 G N ER0 +SPEIR S P IH1 R +SPEIRS S P IH1 R Z +SPEISER S P AY1 Z ER0 +SPEKTR S P EH1 K T ER0 +SPEKTR'S S P EH1 K T ER0 Z +SPELL S P EH1 L +SPELLACY S P EH1 L AH0 S IY0 +SPELLBINDING S P EH1 L B AY2 N D IH0 NG +SPELLBOUND S P EH1 L B AW2 N D +SPELLED S P EH1 L D +SPELLER S P EH1 L ER0 +SPELLERS S P EH1 L ER0 Z +SPELLING S P EH1 L IH0 NG +SPELLING'S S P EH1 L IH0 NG Z +SPELLINGS S P EH1 L IH0 NG Z +SPELLMAN S P EH1 L M AH0 N +SPELLMAN'S S P EH1 L M AH0 N Z +SPELLMEYER S P EH1 L M AY0 ER0 +SPELLMEYER'S S P EH1 L M AY0 ER0 Z +SPELLS S P EH1 L Z +SPELMAN S P EH1 L M AH0 N +SPELTZ S P EH1 L T S +SPELUNK S P AH0 L AH1 NG K +SPELUNKED S P AH0 L AH1 NG K T +SPELUNKER S P AH0 L AH1 NG K ER0 +SPELUNKERS S P AH0 L AH1 NG K ER0 Z +SPELUNKING S P AH0 L AH1 NG K IH0 NG +SPELUNKS S P AH0 L AH1 NG K S +SPENCE S P EH1 N S +SPENCER S P EH1 N S ER0 +SPENCER'S S P EH1 N S ER0 Z +SPENCERS S P EH1 N S ER0 Z +SPEND S P EH1 N D +SPENDABLE S P EH1 N D AH0 B AH0 L +SPENDER S P EH1 N D ER0 +SPENDERS S P EH1 N D ER0 Z +SPENDING S P EH1 N D IH0 NG +SPENDLEY S P EH1 N D L IY0 +SPENDLOVE S P EH1 N D L AH2 V +SPENDS S P EH1 N D Z +SPENDS(2) S P EH1 N Z +SPENDTHRIFT S P EH1 N D TH R IH2 F T +SPENGLER S P IH1 NG AH0 L ER0 +SPENGLER(2) S P IH1 NG L ER0 +SPENNER S P EH1 N ER0 +SPENO S P EH1 N OW0 +SPENS S P EH1 N S +SPENSER S P EH1 N S ER0 +SPENSER'S S P EH1 N S ER0 Z +SPENSERS S P EH1 N S ER0 Z +SPENT S P EH1 N T +SPERA S P EH1 R AH0 +SPERANZA S P ER0 AA1 N Z AH0 +SPERBECK S P ER1 B EH0 K +SPERBER S P ER1 B ER0 +SPERDUTO S P ER0 D UW1 T OW0 +SPERL S P ER1 L +SPERLE S P ER1 L +SPERLICH S P ER1 L IH0 K +SPERLING S P ER1 L IH0 NG +SPERM S P ER1 M +SPERMS S P ER1 M Z +SPERO S P EH1 R OW0 +SPEROS S P EH1 R OW0 Z +SPERRAZZA S P ER0 AA1 T S AH0 +SPERRFRIST S P EH1 R F R IH0 S T +SPERRY S P EH1 R IY0 +SPESSARD S P EH1 S ER0 D +SPETH S P EH1 TH +SPETHMANN S P EH1 TH M AH0 N +SPETSNAZ S P EH1 T S N AE0 Z +SPEVAK S P EH1 V AH0 K +SPEW S P Y UW1 +SPEWED S P Y UW1 D +SPEWING S P Y UW1 IH0 NG +SPEWS S P Y UW1 Z +SPEY S P EY1 +SPEYER S P EY1 ER0 +SPEZIALE S P EH0 Z IY0 AA1 L IY0 +SPEZZANO S P EH0 T S AA1 N OW0 +SPHAR S F AA1 R +SPHERE S F IH1 R +SPHERES S F IH1 R Z +SPHERICAL S F EH1 R IH0 K AH0 L +SPHEROID S F IH1 R OY2 D +SPHINCTER S F IH1 NG K T ER0 +SPHINCTERS S F IH1 NG K T ER0 Z +SPHINX S F IH1 NG K S +SPIC S P IH1 K +SPICE S P AY1 S +SPICED S P AY1 S T +SPICELAND S P AY1 S L AE2 N D +SPICER S P AY1 S ER0 +SPICES S P AY1 S AH0 Z +SPICES(2) S P AY1 S IH0 Z +SPICEY S P AY1 S IY0 +SPICHER S P IH1 CH ER0 +SPICING S P AY1 S IH0 NG +SPICKARD S P IH1 K ER0 D +SPICKLER S P IH1 K L ER0 +SPICUZZA S P IY0 K UW1 T S AH0 +SPICY S P AY1 S IY0 +SPIDEL S P IH1 D AH0 L +SPIDELL S P IH1 D AH0 L +SPIDER S P AY1 D ER0 +SPIDER-MAN S P AY1 D ER0 M AE0 N +SPIDERMAN S P AY1 D ER0 M AE0 N +SPIDERS S P AY1 D ER0 Z +SPIDLE S P AY1 D AH0 L +SPIE S P IY1 +SPIED S P AY1 D +SPIEGEL S P IY1 G AH0 L +SPIEGELBERG S P IY1 G AH0 L B ER0 G +SPIEGELMAN S P IY1 G AH0 L M AH0 N +SPIEGLER S P IY1 G L ER0 +SPIEKER S P IY1 K ER0 +SPIEL S P IY1 L +SPIELBERG S P IY1 L B ER0 G +SPIELBERG'S S P IY1 L B ER0 G Z +SPIELBERGER S P IY1 L B ER0 G ER0 +SPIELER S P IY1 L ER0 +SPIELMAN S P IY1 L M AH0 N +SPIELMANN S P IY1 L M AH0 N +SPIELVOGEL S P IY1 L V OW2 G AH0 L +SPIER S P AY1 ER0 +SPIERING S P AY1 ER0 IH0 NG +SPIERS S P AY1 ER0 Z +SPIES S P AY1 Z +SPIESS S P IY1 Z +SPIETH S P IY1 TH # NAME +SPIETH(2) S P AY1 AH0 TH # OLD +SPIETH'S S P IY1 TH S +SPIEWAK S P IY1 W AE2 K +SPIFFING S P IH1 F IH0 NG +SPIFFY S P IH1 F IY0 +SPIGHT S P AY1 T +SPIGNER S P AY1 G N ER0 +SPIGOT S P IH1 G AH0 T +SPIGOTS S P IH1 G AH0 T S +SPIKE S P AY1 K +SPIKED S P AY1 K T +SPIKER S P AY1 K ER0 +SPIKES S P AY1 K S +SPIKING S P AY1 K IH0 NG +SPIKY S P AY1 K IY0 +SPILDE S P IH1 L D +SPILKER S P IH1 L K ER0 +SPILL S P IH1 L +SPILL'S S P IH1 L Z +SPILLAGE S P IH1 L IH0 JH +SPILLANE S P IH1 L AH0 N +SPILLED S P IH1 L D +SPILLER S P IH1 L ER0 +SPILLERS S P IH1 L ER0 Z +SPILLING S P IH1 L IH0 NG +SPILLMAN S P IH1 L M AH0 N +SPILLOVER S P IH1 L OW2 V ER0 +SPILLS S P IH1 L Z +SPILLWAY S P IH1 L W EY2 +SPILMAN S P IH1 L M AH0 N +SPILOTRO S P IH0 L AA1 T R OW0 +SPILT S P IH1 L T +SPIN S P IH1 N +SPINA S P IY1 N AH0 +SPINACH S P IH1 N AH0 CH +SPINAL S P AY1 N AH0 L +SPINALE S P IY0 N AA1 L IY0 +SPINDEL S P IH1 N D AH0 L +SPINDLE S P IH1 N D AH0 L +SPINDLER S P IH1 N D AH0 L ER0 +SPINDLER(2) S P IH1 N D L ER0 +SPINE S P AY1 N +SPINELESS S P AY1 N L AH0 S +SPINELLA S P IH0 N EH1 L AH0 +SPINELLI S P IH0 N EH1 L IY0 +SPINELLO S P IH0 N EH1 L OW0 +SPINES S P AY1 N Z +SPINFIZZ S P IH1 N F IH0 Z +SPINIFEX S P IH1 N IH0 F EH0 K S +SPINK S P IH1 NG K +SPINKS S P IH1 NG K S +SPINKS'S S P IH1 NG K S IH0 Z +SPINNER S P IH1 N ER0 +SPINNER'S S P IH1 N ER0 Z +SPINNERS S P IH1 N ER0 Z +SPINNEY S P IH1 N IY0 +SPINNING S P IH1 N IH0 NG +SPINO S P IY1 N OW0 +SPINOFF S P IH1 N AO2 F +SPINOFFS S P IH1 N AO2 F S +SPINOLA S P IY0 N OW1 L AH0 +SPINOSA S P IY0 N OW1 S AH0 +SPINOZA S P IH0 N OW1 Z AH0 +SPINS S P IH1 N Z +SPINSTER S P IH1 N S T ER0 +SPINY S P AY1 N IY0 +SPIRA S P IH1 R AH0 +SPIRAL S P AY1 R AH0 L +SPIRALED S P AY1 R AH0 L D +SPIRALING S P AY1 R AH0 L IH0 NG +SPIRALLING S P AY1 R AH0 L IH0 NG +SPIRALS S P AY1 R AH0 L Z +SPIRE S P AY1 R +SPIRES S P AY1 R Z +SPIRIT S P IH1 R AH0 T +SPIRIT(2) S P IH1 R IH0 T +SPIRIT'S S P IH1 R IH0 T S +SPIRITED S P IH1 R IH0 T IH0 D +SPIRITEDNESS S P IH1 R IH0 T IH0 D N AH0 S +SPIRITO S P IH0 R IY1 T OW2 +SPIRITS S P IH1 R IH0 T S +SPIRITUAL S P IH1 R IH0 CH UW2 AH0 L +SPIRITUALISM S P IH1 R IH0 CH UW2 AH0 L IH2 Z M +SPIRITUALIST S P IH1 R IH0 CH UW2 AH0 L IH2 S T +SPIRITUALISTS S P IH1 R IH0 CH UW2 AH0 L IH2 S T S +SPIRITUALITY S P IH2 R IH0 CH UW2 AE1 L AH0 T IY2 +SPIRITUALLY S P IH1 R IH0 CH UW2 AH0 L IY2 +SPIRITUALS S P IH1 R IH0 CH UW2 AH0 L Z +SPIRO S P IH1 R OW2 +SPIRO'S S P IH1 R OW2 Z +SPIROS S P IH1 R OW2 Z +SPISAK S P IH1 S AH0 K +SPIT S P IH1 T +SPITALE S P IY0 T AA1 L IY0 +SPITBALL S P IH1 T B AO2 L +SPITBALL'S S P IH1 T B AO2 L Z +SPITE S P AY1 T +SPITEFUL S P AY1 T F AH0 L +SPITERI S P IY0 T EH1 R IY0 +SPITLER S P IH1 T L ER0 +SPITS S P IH1 T S +SPITTING S P IH1 T IH0 NG +SPITTLE S P IH1 T AH0 L +SPITTLER S P IH1 T L ER0 +SPITZ S P IH1 T S +SPITZER S P IH1 T Z ER0 +SPITZLEY S P IH1 T S L IY0 +SPITZNAGEL S P IH1 T S N EY2 G AH0 L +SPIVA S P IY1 V AH0 +SPIVACK S P IH1 V AH0 K +SPIVAK S P IH1 V AH0 K +SPIVEY S P IH1 V IY0 +SPIWAK S P IH1 V AH0 K +SPIZZIRRI S P IY0 T S IH1 R IY0 +SPLAIN S P L EY1 N +SPLAINE S P L EY1 N +SPLASH S P L AE1 SH +SPLASHED S P L AE1 SH T +SPLASHES S P L AE1 SH IH0 Z +SPLASHING S P L AE1 SH IH0 NG +SPLASHY S P L AE1 SH IY0 +SPLAT S P L AE1 T +SPLATTER S P L AE1 T ER0 +SPLATTERED S P L AE1 T ER0 D +SPLATTERING S P L AE1 T AH0 R IH2 NG +SPLATTERS S P L AE1 T ER0 Z +SPLAWN S P L AO1 N +SPLEEN S P L IY1 N +SPLEISSON S P EY1 S AH0 N +SPLENDID S P L EH1 N D IH0 D +SPLENDIDLY S P L EH1 N D AH0 D L IY0 +SPLENDOR S P L EH1 N D ER0 +SPLENIC S P L EH1 N IH0 K +SPLENIC(2) S P L IY1 N IH0 K +SPLICE S P L AY1 S +SPLICED S P L AY1 S T +SPLICES S P L AY1 S IH0 Z +SPLICHAL S P L IH1 CH AH0 L +SPLICING S P L AY1 S IH0 NG +SPLINT S P L IH1 N T +SPLINTER S P L IH1 N T ER0 +SPLINTERED S P L IH1 N T ER0 D +SPLINTERING S P L IH1 N T ER0 IH0 NG +SPLINTERS S P L IH1 N T ER0 Z +SPLINTERY S P L IH1 N T ER0 IY0 +SPLINTS S P L IH1 N T S +SPLIT S P L IH1 T +SPLITS S P L IH1 T S +SPLITT S P L IH1 T +SPLITTER S P L IH1 T ER0 +SPLITTING S P L IH1 T IH0 NG +SPLURGE S P L ER1 JH +SPLURGED S P L ER1 JH D +SPLURGES S P L ER1 JH IH0 S +SPLURGING S P L ER1 JH IH0 NG +SPOARER S P AO1 R ER0 +SPOCK S P AA1 K +SPODEN S P OW1 D AH0 N +SPOELSTRA S P OW1 L S T R AA0 +SPOERL S P AO1 R L +SPOFFORD S P AA1 F ER0 D +SPOGLI S P AA1 G L IY0 +SPOHN S P AA1 N +SPOHR S P AA1 R +SPOIL S P OY1 L +SPOILAGE S P OY1 L AH0 JH +SPOILAGE(2) S P OY1 L IH0 JH +SPOILED S P OY1 L D +SPOILER S P OY1 L ER0 +SPOILERS S P OY1 L ER0 Z +SPOILING S P OY1 L IH0 NG +SPOILS S P OY1 L Z +SPOKANE S P OW0 K AE1 N +SPOKANE(2) S P OW0 K EY1 N +SPOKE S P OW1 K +SPOKEN S P OW1 K AH0 N +SPOKENLY S P OW1 K AH0 N L IY0 +SPOKES S P OW1 K S +SPOKESMAN S P OW1 K S M AH0 N +SPOKESMEN S P OW1 K S M IH0 N +SPOKESPEOPLE S P OW1 K S P IY2 P AH0 L +SPOKESPERSON S P OW1 K S P ER0 S AH0 N +SPOKESPERSONS S P OW1 K S P ER0 S AH0 N Z +SPOKESWOMAN S P OW1 K S W UH2 M AH0 N +SPOKESWOMEN S P OW1 K S W IH2 M AH0 N +SPOLETO S P OW0 L EY1 T OW0 +SPOLETTO S P OW0 L EY1 T OW0 +SPOLETTO'S S P OW0 L EY1 T OW0 Z +SPOMER S P OW1 M ER0 +SPONAUGLE S P AA1 N AO0 G AH0 L +SPONG S P AO1 NG +SPONGE S P AH1 N JH +SPONGEBOB S P AH1 N JH B AA2 B +SPONGED S P AH1 N JH D +SPONGEFORM S P AH1 N JH F AO0 R M +SPONGES S P AH1 N JH AH0 Z +SPONGIFORM S P AH1 N JH IH0 F AO2 R M +SPONGY S P AH1 N JH IY0 +SPONSEL S P AA1 N S AH0 L +SPONSELLER S P AA1 N S AH0 L ER0 +SPONSLER S P AA1 N S AH0 L ER0 +SPONSLER(2) S P AA1 N S L ER0 +SPONSOR S P AA1 N S ER0 +SPONSOR'S S P AA1 N S ER0 Z +SPONSORED S P AA1 N S ER0 D +SPONSORING S P AA1 N S ER0 IH0 NG +SPONSORS S P AA1 N S ER0 Z +SPONSORSHIP S P AA1 N S ER0 SH IH2 P +SPONSORSHIPS S P AA1 N S ER0 SH IH2 P S +SPONTANEITY S P AA2 N T AH0 N IY1 AH0 T IY0 +SPONTANEOUS S P AA0 N T EY1 N IY0 AH0 S +SPONTANEOUSLY S P AA0 N T EY1 N IY0 AH0 S L IY0 +SPOOF S P UW1 F +SPOOFED S P UW1 F T +SPOOFING S P UW1 F IH0 NG +SPOOFS S P UW1 F S +SPOOK S P UW1 K +SPOOKED S P UW1 K T +SPOOKS S P UW1 K S +SPOOKY S P UW1 K IY0 +SPOOL S P UW1 L +SPOON S P UW1 N +SPOONEMORE S P UW1 N M AO0 R +SPOONER S P UW1 N ER0 +SPOONFUL S P UW1 N F UH2 L +SPOONFULS S P UW1 N F UH2 L Z +SPOONS S P UW1 N Z +SPOOR S P UH1 R +SPOOR'S S P UH1 R Z +SPORADIC S P ER0 AE1 D IH0 K +SPORADICALLY S P ER0 AE1 D IH0 K L IY0 +SPORCK S P AO1 R K +SPORE S P AO1 R +SPORER S P AO1 R ER0 +SPORES S P AO1 R Z +SPORKIN S P AO1 R K IH0 N +SPORKIN'S S P AO1 R K IH0 N Z +SPORLEDER S P AO1 R L IH0 D ER0 +SPORN S P AO1 R N +SPOROPHYTE S P AO1 R F AY2 T +SPOROPHYTES S P AO1 R F AY2 T S +SPORRER S P AO1 ER0 R +SPORT S P AO1 R T +SPORT'S S P AO1 R T S +SPORTED S P AO1 R T IH0 D +SPORTIER S P AO1 R T IY0 ER0 +SPORTING S P AO1 R T IH0 NG +SPORTINGLY S P AO1 R T IH0 NG L IY0 +SPORTS S P AO1 R T S +SPORTS' S P AO1 R T S +SPORTSBAR S P AO1 R T S B AA2 R +SPORTSCASTER S P AO1 R T S K AE2 S T ER0 +SPORTSCASTERS S P AO1 R T S K AE2 S T ER0 Z +SPORTSCHANNEL S P AO1 R T S CH AE1 N AH0 L +SPORTSCLUB S P AO1 R T S K L AH2 B +SPORTSMAN S P AO1 R T S M AH0 N +SPORTSMANSHIP S P AO1 R T S M AH0 N SH IH2 P +SPORTSMEN S P AO1 R T S M IH0 N +SPORTSTER S P AO1 R T S T ER0 +SPORTSWEAR S P AO1 R T S W EH2 R +SPORTSWRITER S P AO1 R T S R AY2 T ER0 +SPORTSWRITERS S P AO1 R T S R AY2 T ER0 Z +SPORTY S P AO1 R T IY0 +SPOSATO S P OW0 S AA1 T OW0 +SPOSITO S P OW0 S IY1 T OW0 +SPOT S P AA1 T +SPOTIFY S P AO1 T AH0 F AY2 +SPOTLESS S P AA1 T L AH0 S +SPOTLIGHT S P AA1 T L AY2 T +SPOTLIGHTED S P AA1 T L AY2 T IH0 D +SPOTLIGHTING S P AA1 T L AY2 T IH0 NG +SPOTLIGHTS S P AA1 T L AY2 T S +SPOTO S P OW1 T OW0 +SPOTS S P AA1 T S +SPOTTED S P AA1 T IH0 D +SPOTTER S P AA1 T ER0 +SPOTTERS S P AA1 T ER0 Z +SPOTTING S P AA1 T IH0 NG +SPOTTS S P AA1 T S +SPOTTY S P AA1 T IY0 +SPOUSAL S P AW1 Z AH0 L +SPOUSE S P AW1 S +SPOUSE'S S P AW1 S IH0 Z +SPOUSES S P AW1 S IH0 Z +SPOUT S P AW1 T +SPOUTED S P AW1 T IH0 D +SPOUTING S P AW1 T IH0 NG +SPOUTS S P AW1 T S +SPRACKLEN S P R AE1 K AH0 L AH0 N +SPRADLEY S P R AE1 D L IY0 +SPRADLIN S P R AE1 D L IH0 N +SPRADLING S P R AE1 D L IH0 NG +SPRAGG S P R AE1 G +SPRAGGINS S P R AE1 G IH0 N Z +SPRAGUE S P R EY1 G +SPRAGUE'S S P R EY1 G Z +SPRAIN S P R EY1 N +SPRAINED S P R EY1 N D +SPRAINING S P R EY1 N IH0 NG +SPRAINS S P R EY1 N Z +SPRAKER S P R EY1 K ER0 +SPRANG S P R AE1 NG +SPRANGER S P R AE1 NG ER0 +SPRANKLE S P R AE1 NG K AH0 L +SPRATLEY S P R AE1 T L IY0 +SPRATLIN S P R AE1 T L IH0 N +SPRATLING S P R AE1 T L IH0 NG +SPRATT S P R AE1 T +SPRAWL S P R AO1 L +SPRAWLED S P R AO1 L D +SPRAWLING S P R AO1 L IH0 NG +SPRAWLS S P R AO1 L Z +SPRAY S P R EY1 +SPRAYBERRY S P R EY1 B EH2 R IY0 +SPRAYED S P R EY1 D +SPRAYER S P R EY1 ER0 +SPRAYERS S P R EY1 ER0 Z +SPRAYING S P R EY1 IH0 NG +SPRAYS S P R EY1 Z +SPREAD S P R EH1 D +SPREADER S P R EH1 D ER0 +SPREADING S P R EH1 D IH0 NG +SPREADS S P R EH1 D Z +SPREADSHEET S P R EH1 D SH IY2 T +SPREADSHEETS S P R EH1 D SH IY2 T S +SPRECHER S P R EH1 K ER0 +SPRECKELS S P R EH1 K AH0 L Z +SPREE S P R IY1 +SPREEMAN S P R IY1 M AH0 N +SPREEN S P R IY1 N +SPREES S P R IY1 Z +SPREHE S P R IY1 HH +SPREITZER S P R AY1 T Z ER0 +SPRENG S P R EH1 NG +SPRENGER S P R EH1 N JH ER0 +SPRENKLE S P R EH1 NG K AH0 L +SPRICK S P R IH1 K +SPRIGG S P R IH1 G +SPRIGGED S P R IH1 G D +SPRIGGS S P R IH1 G Z +SPRIGHTLY S P R AY1 T L IY0 +SPRING S P R IH1 NG +SPRING(2) S P ER0 IH1 NG +SPRING'S S P R IH1 NG Z +SPRINGBOARD S P R IH1 NG B AO2 R D +SPRINGBORN S P R IH1 NG G B ER0 N +SPRINGDALE S P R IH1 NG D EY2 L +SPRINGER S P R IH1 NG ER0 +SPRINGERVILLE S P R IH1 NG ER0 V IH2 L +SPRINGFIELD S P R IH1 NG F IY2 L D +SPRINGFIELD'S S P R IH1 NG F IY2 L D Z +SPRINGING S P R IH1 NG IH0 NG +SPRINGMAN S P R IH1 NG M AH0 N +SPRINGS S P R IH1 NG Z +SPRINGS(2) S P ER0 IH1 NG Z +SPRINGSTEAD S P R IH1 NG S T EH2 D +SPRINGSTEEN S P R IH1 NG S T IY2 N +SPRINGSTEEN'S S P R IH1 NG S T IY2 N Z +SPRINGSTON S P R IH1 NG S T AH0 N +SPRINGTIME S P R IH1 NG T AY2 M +SPRINKEL S P R IH1 NG K AH0 L +SPRINKLE S P R IH1 NG K AH0 L +SPRINKLED S P R IH1 NG K AH0 L D +SPRINKLER S P R IH1 NG K L ER0 +SPRINKLER(2) S P R IH1 NG K AH0 L ER0 +SPRINKLERS S P R IH1 NG K L ER0 Z +SPRINKLERS(2) S P R IH1 NG K AH0 L ER0 Z +SPRINKLES S P R IH1 NG K AH0 L Z +SPRINKLING S P R IH1 NG K L IH0 NG +SPRINKLING(2) S P R IH1 NG K AH0 L IH0 NG +SPRINT S P R IH1 N T +SPRINT'S S P R IH1 N T S +SPRINTED S P R IH1 N T IH0 D +SPRINTER S P R IH1 N T ER0 +SPRINTERS S P R IH1 N T ER0 Z +SPRINTING S P R IH1 N T IH0 NG +SPRINTS S P R IH1 N T S +SPRITE S P R AY1 T +SPRIZZO S P R IH1 Z OW0 +SPROAT S P R OW1 T +SPROCK S P R AA1 K +SPROCKET S P R AA1 K AH0 T +SPROGUS S P R OW1 G AH0 S +SPROGUS'S S P R OW1 G AH0 S IH0 Z +SPROLES S P R OW1 L Z +SPRONG S P R AO1 NG +SPROTT S P R AA1 T +SPROUL S P R AW1 L +SPROULE S P R UW1 L +SPROULL S P R UW1 L +SPROULS S P R AW1 L Z +SPROUSE S P R AW1 S +SPROUT S P R AW1 T +SPROUTAPHILE S P R AW1 T AH0 F AY0 L +SPROUTAPHILES S P R AW1 T AH0 F AY0 L Z +SPROUTED S P R AW1 T IH0 D +SPROUTING S P R AW1 T IH0 NG +SPROUTS S P R AW1 T S +SPROW S P R AW1 +SPROWL S P R AW1 L +SPROWLE S P R AW1 AH0 L +SPROWLS S P R AW1 L Z +SPRUCE S P R UW1 S +SPRUCED S P R UW1 S T +SPRUCING S P R UW1 S IH0 NG +SPRUELL S P R UW1 L +SPRUIELL S P R UW1 L +SPRUILL S P R UW1 L +SPRUNG S P R AH1 NG +SPRUNGER S P R AH1 NG ER0 +SPRY S P R AY1 +SPUD S P AH1 D +SPUD'S S P AH1 D Z +SPUDS S P AH1 D Z +SPUHLER S P UW1 L ER0 +SPUN S P AH1 N +SPUNK S P AH1 NG K +SPUNKY S P AH1 NG K IY0 +SPUR S P ER1 +SPURDLE S P ER1 D AH0 L +SPURGE S P ER1 JH +SPURGEON S P ER1 JH IH0 N +SPURGIN S P ER1 JH IH0 N +SPURIOUS S P Y UH1 R IY0 AH0 S +SPURIOUS(2) S P ER1 IY0 AH0 S +SPURLIN S P ER1 L IH0 N +SPURLING S P ER1 L IH0 NG +SPURLOCK S P ER1 L AA2 K +SPURN S P ER1 N +SPURNED S P ER1 N D +SPURNING S P ER1 N IH0 NG +SPURNS S P ER1 N Z +SPURR S P ER1 +SPURRED S P ER1 D +SPURRIER S P ER1 IY0 ER0 +SPURRING S P ER1 IH0 NG +SPURS S P ER1 Z +SPURT S P ER1 T +SPURTED S P ER1 T IH0 D +SPURTING S P ER1 T IH0 NG +SPURTS S P ER1 T S +SPUTNIK S P AH1 T N IH0 K +SPUTNIKS S P AH1 T N IH0 K S +SPUTTER S P AH1 T ER0 +SPUTTERED S P AH1 T ER0 D +SPUTTERING S P AH1 T ER0 IH0 NG +SPUTTERS S P AH1 T ER0 Z +SPUTUM S P Y UW1 T AH0 M +SPY S P AY1 +SPY'S S P AY1 Z +SPYCATCHER S P AY1 K AE2 CH ER0 +SPYCHALSKI S P IH0 HH AA1 L S K IY0 +SPYGLASS S P AY1 G L AE2 S +SPYING S P AY1 IH0 NG +SPYKER S P AY1 K ER0 +SPYWARE S P AY1 W EH2 R +SQL EH2 S K Y UW2 EH1 L +SQL(2) S IY1 K W UH0 L +SQUABBLE S K W AA1 B AH0 L +SQUABBLED S K W AA1 B AH0 L D +SQUABBLES S K W AA1 B AH0 L Z +SQUABBLING S K W AA1 B AH0 L IH0 NG +SQUABBLING(2) S K W AA1 B L IH0 NG +SQUAD S K W AA1 D +SQUAD'S S K W AA1 D Z +SQUADRON S K W AA1 D R AH0 N +SQUADRONS S K W AA1 D R AH0 N Z +SQUADS S K W AA1 D Z +SQUALID S K W AA1 L AH0 D +SQUALL S K W AO1 L +SQUALLS S K W AO1 L Z +SQUALOR S K W AA1 L ER0 +SQUAMOUS S K W EY1 M AH0 S +SQUANDER S K W AA1 N D ER0 +SQUANDERED S K W AA1 N D ER0 D +SQUANDERING S K W AA1 N D ER0 IH0 NG +SQUANDERS S K W AA1 N D ER0 Z +SQUARE S K W EH1 R +SQUARED S K W EH1 R D +SQUARELY S K W EH1 R L IY0 +SQUARES S K W EH1 R Z +SQUARING S K W EH1 R IH0 NG +SQUASH S K W AA1 SH +SQUASHED S K W AA1 SH T +SQUASHING S K W AA1 SH IH0 NG +SQUASHY S K W AA1 SH IY0 +SQUAT S K W AA1 T +SQUATS S K W AA1 T S +SQUATTER S K W AA1 T ER0 +SQUATTERS S K W AA1 T ER0 Z +SQUATTING S K W AA1 T IH0 NG +SQUATTY S K W AA1 T IY0 +SQUAWK S K W AO1 K +SQUAWKING S K W AO1 K IH0 NG +SQUAWKS S K W AO1 K S +SQUEAK S K W IY1 K +SQUEAKED S K W IY1 K T +SQUEAKER S K W IY1 K ER0 +SQUEAKERS S K W IY1 K ER0 Z +SQUEAKING S K W IY1 K IH0 NG +SQUEAKS S K W IY1 K S +SQUEAKY S K W IY1 K IY0 +SQUEAL S K W IY1 L +SQUEALING S K W IY1 L IH0 NG +SQUEALS S K W IY1 L Z +SQUEAMISH S K W IY1 M IH0 SH +SQUEAMISHNESS S K W IY1 M IH0 SH N AH0 S +SQUEEGEE S K W IY1 JH IY0 +SQUEEZE S K W IY1 Z +SQUEEZED S K W IY1 Z D +SQUEEZES S K W IY1 Z IH0 Z +SQUEEZING S K W IY1 Z IH0 NG +SQUELCH S K W EH1 L CH +SQUELCHED S K W EH1 L CH T +SQUELCHING S K W EH1 L CH IH0 NG +SQUIBB S K W IH1 B +SQUIBB'S S K W IH1 B Z +SQUID S K W IH1 D +SQUIER S K W AY1 ER0 +SQUIERS S K W AY1 ER0 Z +SQUIGGLE S K W IH1 G AH0 L +SQUIGGLES S K W IH1 G AH0 L Z +SQUILLACE S K W IH1 L AH0 S +SQUILLACOTE S K W IH1 L AH0 K OW0 T +SQUILLACOTE'S S K W IH1 L AH0 K OW0 T S +SQUILLANTE S K W IY0 L AA1 N T EY0 +SQUINT S K W IH1 N T +SQUINTING S K W IH1 N T IH0 NG +SQUIRE S K W AY1 R +SQUIRES S K W AY1 ER0 Z +SQUIRM S K W ER1 M +SQUIRMING S K W ER1 M IH0 NG +SQUIRMS S K W ER1 M Z +SQUIRREL S K W ER1 AH0 L +SQUIRRELED S K W ER1 AH0 L D +SQUIRRELS S K W ER1 AH0 L Z +SQUIRT S K W ER1 T +SQUIRTED S K W ER1 T IH0 D +SQUIRTING S K W ER1 T IH0 NG +SQUIRTS S K W ER1 T S +SQUISHY S K W IH1 SH IY0 +SQUITIERI S K W IY0 T IH1 R IY0 +SQUYRES S K W AY1 R Z +SR S IY1 N Y ER0 +SR(2) S IH1 S T ER0 +SRADER SH R EY1 D ER0 +SRAM SH R AE1 M +SRAM(2) EH1 S R AE1 M +SRAMEK SH R AE1 M IH0 K +SRDAN S ER1 D AE2 N +SREBRENICA S R EY2 B R EH0 N IY1 T S AH0 +SREBRENICA(2) SH R EY2 B R AH0 N IY1 T S AH0 +SREBRENICA'S S R EY2 B R EH0 N IY1 T S AH0 Z +SREBRENICA'S(2) SH R EY2 B R AH0 N IY1 T S AH0 Z +SREMAC S R IY1 M AE2 K +SRI SH R IY1 +SRI(2) EH1 S AA1 R AY1 +SRI(3) S R IY1 +SRI-LANKA S R IY1 L AE1 NG K AH0 +SRI-LANKA(2) SH R IY1 L AE1 NG K AH0 +SRINAGAR S R IY1 N AH0 G AA2 R +SRINAGAR(2) SH R IY1 N AH0 G AA2 R +SRINAGARB S R IY1 N AH0 G AA2 R B +SRINAGARB(2) SH R IY1 N AH0 G AA2 R B +SRINIVAS S R IY1 N IH0 V AA2 S +SRINIVASAN S R IY0 N IY2 V AA0 S AA1 N +SRINIVASAN(2) SH R IY0 N IY2 V AA0 S AA1 N +SRIRAM S R IY1 R AA2 M +SRIRAM(2) SH R IY1 R AA2 M +SRIVASTAVA S R IY0 V AA0 S T AA1 V AH0 +SRIVASTAVA(2) SH R IY0 V AA0 S T AA1 V AH0 +SROCK SH R AA1 K +SROGE SH R OW1 G +SROKA SH R OW1 K AH0 +SROUFE SH R OW1 F +SRPSKA S R AH1 P S K AH0 +SSANGYONG S AE1 NG Y AO2 NG +SSN EH1 S EH1 S EH1 N +ST S T R IY1 T +ST(2) S EY1 N T +ST-CHARLES S EY1 N T CH AA1 R AH0 L Z +ST-CLAIR S EY1 N T K L EH1 R +ST-CLAIRE S EY1 N T K L EH1 R +ST-CYR S EY1 N T K IH1 R +ST-CYR(2) S EY1 N T S IH1 R +ST-DENIS S EY1 N T D EH1 N IH0 S +ST-DENNIS S EY1 N T D EH1 N IH0 S +ST-GEORGE S EY1 N T JH AO1 R JH +ST-GERMAIN S EY1 N T JH ER2 M EY1 N +ST-GERMAINE S EY1 N T JH ER2 M EY1 N +ST-GERMAINE(2) S AA1 N ZH ER2 M EY1 N +ST-HILAIRE S EY1 N T HH IH0 L EY1 R +ST-JACQUES S EY1 N T JH AA1 K S +ST-JACQUES(2) S AA1 N ZH AA1 K S +ST-JAMES S EY1 N T JH EY1 M Z +ST-JEAN S EY1 N T JH IY1 N +ST-JOHN S EY1 N T JH AA1 N +ST-JOHNS S EY1 N T JH AA1 N Z +ST-JULIEN S EY1 N T JH UW1 L IY0 AH0 N +ST-LAURENT S EY1 N T L AO1 R AH0 N T +ST-LAURENT(2) S AA1 N L AO2 R AO1 N T +ST-LAWRENCE S EY1 N T L AO1 R AH0 N S +ST-LOUIS S EY1 N T L UW1 AH0 S +ST-LOUIS(2) S EY1 N T L UW1 IY0 +ST-LUCIA S EY1 N T L UW1 SH AH0 +ST-LUCIA(2) S EY1 N T L UW2 S IY1 AH0 +ST-MARIE S EY1 N T M ER0 IY1 +ST-MARTIN S EY1 N T M AA1 R T IH0 N +ST-MARY S EY1 N T M EH1 R IY0 +ST-PETER S EY1 N T P IY1 T ER0 +ST-PETERSBURG S EY1 N T P IY1 T ER0 Z B ER0 G +ST-PIERRE S EY1 N T P Y EH1 R +ST-THOMAS S EY1 N T AA1 M AH0 S +STA S T AH1 +STA(2) EH1 S T IY1 EY1 +STAAB S T AA1 B +STAACK S T AA1 K +STAAL S T AA1 L +STAAR S T AA1 R +STAAR'S S T AA1 R Z +STAAS S T AA1 Z +STAAT S T AA1 T +STAATS S T AA1 T S +STAB S T AE1 B +STABBED S T AE1 B D +STABBING S T AE1 B IH0 NG +STABBINGS S T AE1 B IH0 NG Z +STABENOW S T AE1 B IH0 N OW0 +STABILE S T EY1 B IH0 L +STABILITY S T AH0 B IH1 L IH0 T IY0 +STABILIZATION S T EY2 B AH0 L AH0 Z EY1 SH AH0 N +STABILIZE S T EY1 B AH0 L AY2 Z +STABILIZED S T EY1 B AH0 L AY2 Z D +STABILIZER S T EY1 B AH0 L AY2 Z ER0 +STABILIZERS S T EY1 B AH0 L AY2 Z ER0 Z +STABILIZES S T EY1 B AH0 L AY2 Z AH0 Z +STABILIZES(2) S T EY1 B AH0 L AY2 Z IH0 Z +STABILIZING S T EY1 B AH0 L AY2 Z IH0 NG +STABLE S T EY1 B AH0 L +STABLER S T EY1 B AH0 L ER0 +STABLER(2) S T EY1 B L ER0 +STABLES S T EY1 B AH0 L Z +STABLEST S T EY1 B AH0 L AH0 S T +STABLEY S T AE1 B L IY0 +STABS S T AE1 B Z +STAC S T AE1 K +STAC'S S T AE1 K S +STACCATO S T AH0 K AA1 T OW2 +STACEY S T EY1 S IY0 +STACH S T AE1 CH +STACHNIK S T AE1 K N IH0 K +STACHOWIAK S T AH0 CH AW1 IY0 AE0 K +STACHOWICZ S T AA1 CH AH0 V IH0 CH +STACHOWSKI S T AH0 CH AO1 F S K IY0 +STACHURA S T AA0 CH UH1 R AH0 +STACHURSKI S T AH0 CH ER1 S K IY0 +STACIA S T AA1 CH AH0 +STACIE S T EY1 S IY0 +STACK S T AE1 K +STACKED S T AE1 K T +STACKER S T AE1 K ER0 +STACKHOUSE S T AE1 K HH AW2 S +STACKING S T AE1 K IH0 NG +STACKPOLE S T AE1 K P OW2 L +STACKS S T AE1 K S +STACY S T EY1 S IY0 +STADE S T EY1 D +STADEL S T AE1 D AH0 L +STADELMAN S T AE1 D AH0 L M AH0 N +STADER S T EY1 D ER0 +STADIA S T EY1 D IY0 AA0 +STADIUM S T EY1 D IY0 AH0 M +STADIUM'S S T EY1 D IY0 AH0 M Z +STADIUMS S T EY1 D IY0 AH0 M Z +STADLER S T AE1 D L ER0 +STADNIK S T AE1 D N IH0 K +STADT S T AE1 D T +STADTLANDER SH T AE1 T L AE2 N D ER0 +STADTMILLER SH T AE1 T M IH1 L ER0 +STAEBELL S T EH1 B EH0 L +STAEBLER S T EY1 L ER0 +STAEHLE S T EY1 L +STAFF S T AE1 F +STAFF'S S T AE1 F S +STAFFA S T AA1 F AA2 +STAFFED S T AE1 F T +STAFFER S T AE1 F ER0 +STAFFERS S T AE1 F ER0 Z +STAFFIERI S T AA0 F IH1 R IY0 +STAFFING S T AE1 F IH0 NG +STAFFORD S T AE1 F ER0 D +STAFFORD'S S T AE1 F ER0 D Z +STAFFORDSHIRE S T AE1 F ER0 D SH ER0 +STAFFORDSHIRE(2) S T AE1 F ER0 D SH AY2 ER0 +STAFFORDSHIRE'S S T AE1 F ER0 D SH ER0 Z +STAFFORDSHIRE'S(2) S T AE1 F ER0 D SH AY2 ER0 Z +STAFFS S T AE1 F S +STAG S T AE1 G +STAG-PARTY S T AE1 G P AE2 R T IY0 +STAGE S T EY1 JH +STAGECOACH S T EY1 JH K OW2 CH +STAGECRAFT S T EY1 JH K R AE2 F T +STAGED S T EY1 JH D +STAGEHAND S T EY1 JH HH AE2 N D +STAGEHANDS S T EY1 JH HH AE2 N D Z +STAGER S T EY1 JH ER0 +STAGES S T EY1 JH AH0 Z +STAGES(2) S T EY1 JH IH0 Z +STAGFLATE S T AE2 G F L EY1 T +STAGFLATION S T AE0 G F L EY1 SH AH0 N +STAGG S T AE1 G +STAGGER S T AE1 G ER0 +STAGGERED S T AE1 G ER0 D +STAGGERING S T AE1 G ER0 IH2 NG +STAGGERINGLY S T AE1 G ER0 IH2 NG L IY2 +STAGGERS S T AE1 G ER0 Z +STAGGS S T AE1 G Z +STAGING S T EY1 JH IH0 NG +STAGLIANO S T AA0 G L IY0 AA1 N OW2 +STAGNANT S T AE1 G N AH0 N T +STAGNARO S T AA0 G N AA1 R OW2 +STAGNATE S T AE1 G N EY2 T +STAGNATED S T AE1 G N EY2 T IH0 D +STAGNATING S T AE1 G N EY2 T IH0 NG +STAGNATION S T AE0 G N EY1 SH AH0 N +STAGNER S T AE1 G N ER0 +STAHL S T AA1 L +STAHLBERG S T AA1 L B ER0 G +STAHLE S T EY1 HH AH0 L +STAHLECKER S T AA1 L IH0 K ER0 +STAHLER S T AA1 L ER0 +STAHLEY S T AE1 L IY0 +STAHLHUT S T AA1 L HH AH0 T +STAHLMAN S T AA1 L M AH0 N +STAHLY S T AE1 L IY0 +STAHMER S T AA1 M ER0 +STAHNKE S T AE1 NG K +STAHR S T AE1 R +STAI S T AA1 IY0 +STAIB S T EY1 B +STAID S T EY1 D +STAIGER S T AY1 G ER0 +STAILEY S T EY1 L IY0 +STAIN S T EY1 N +STAINBACK S T EY1 N B AE2 K +STAINBROOK S T EY1 N B R UH2 K +STAINED S T EY1 N D +STAINES S T EY1 N Z +STAINING S T EY1 N IH0 NG +STAINLESS S T EY1 N L AH0 S +STAINMASTER S T EY1 N M AE2 S T ER0 +STAINS S T EY1 N Z +STAIR S T EH1 R +STAIRCASE S T EH1 R K EY2 S +STAIRCASES S T EH1 R K EY2 S IH0 Z +STAIRS S T EH1 R Z +STAIRWAY S T EH1 R W EY2 +STAIRWAYS S T EH1 R W EY2 Z +STAIRWELL S T EH1 R W EH2 L +STAIRWELLS S T EH1 R W EH2 L Z +STAKE S T EY1 K +STAKE'S S T EY1 K S +STAKE-OUT S T EY1 K AW1 T +STAKED S T EY1 K T +STAKEHOLDER S T EY1 K HH OW2 L D ER0 +STAKEHOLDERS S T EY1 K HH OW2 L D ER0 Z +STAKEOUT S T EY1 K AW2 T +STAKEOUTS S T EY1 K AW2 T S +STAKER S T EY1 K ER0 +STAKES S T EY1 K S +STAKING S T EY1 K IH0 NG +STALAG S T AE1 L AE2 G +STALAGMITE S T AE1 L AH0 G M AY2 T +STALCUP S T AO1 L K AH2 P +STALDER S T AO1 L D ER0 +STALE S T EY1 L +STALEMATE S T EY1 L M EY2 T +STALEMATED S T EY1 L M EY2 T IH0 D +STALEY S T EY1 L IY0 +STALEY'S S T EY1 L IY0 Z +STALIN S T AA1 L AH0 N +STALIN'S S T AA1 L IH0 N Z +STALINGRAD S T AE1 L IH0 N G R AE2 D +STALINISM S T AE1 L IH0 N IH2 Z AH0 M +STALINIST S T AA1 L IH0 N IH0 S T +STALINISTIC S T AA2 L IH0 N IH1 S T IH0 K +STALINISTS S T AE1 L IH0 N IH0 S T S +STALINIZATION S T AE2 L IH0 N IH0 Z EY1 SH AH0 N +STALINIZE S T AE1 L IH0 N AY2 Z +STALK S T AO1 K +STALKED S T AO1 K T +STALKER S T AO1 K ER0 +STALKERS S T AO1 K ER0 Z +STALKING S T AO1 K IH0 NG +STALKS S T AO1 K S +STALKY S T AO1 K IY0 +STALL S T AO1 L +STALLARD S T AE1 L ER0 D +STALLCUP S T AO1 L K AH2 P +STALLED S T AO1 L D +STALLER S T AO1 L ER0 +STALLIBRASS S T AE1 L IH0 B R AE0 S +STALLING S T AO1 L IH0 NG +STALLINGS S T AO1 L IH0 NG Z +STALLION S T AE1 L Y AH0 N +STALLIONS S T AE1 L Y AH0 N Z +STALLKAMP S T AO1 L K AE2 M P +STALLMAN S T AO1 L M AH0 N +STALLONE S T AH0 L OW1 N +STALLONE'S S T AH0 L OW1 N Z +STALLS S T AO1 L Z +STALLSMITH S T AO1 L S M IH2 TH +STALLWORTH S T AO1 L W ER2 TH +STALNAKER S T AE1 L N AH0 K ER0 +STALOFF S T AE1 L AO0 F +STALON S T EY1 L AH0 N +STALOWA S T AH0 L OW1 AH0 +STALTER S T AO1 L T ER0 +STALVEY S T AE1 L V IY0 +STALWART S T AO1 L W ER0 T +STALWARTS S T AO1 L W ER0 T S +STALZER S T EY1 L Z ER0 +STAM S T AE1 M +STAMAND S T AE1 M AH0 N D +STAMANT S T AE1 M AH0 N T +STAMAS S T AA1 M AH0 Z +STAMATY S T AE1 M AH0 T IY0 +STAMBAUGH S T AE1 M B AO0 +STAMBERG S T AE1 M B ER0 G +STAMENSON S T EY1 M AH0 N S AH0 N +STAMER S T EY1 M ER0 +STAMEY S T EY1 M IY0 +STAMFORD S T AE1 M F ER0 D +STAMINA S T AE1 M AH0 N AH0 +STAMLER S T AE1 M L ER0 +STAMM S T AE1 M +STAMMEN S T AE1 M AH0 N +STAMMER S T AE1 M ER0 +STAMOS S T EY1 M OW0 Z +STAMOUR S T AH0 M UH1 R +STAMP S T AE1 M P +STAMPED S T AE1 M P T +STAMPEDE S T AE0 M P IY1 D +STAMPEDED S T AE0 M P IY1 D IH0 D +STAMPEDING S T AE0 M P IY1 D IH0 NG +STAMPER S T AE1 M P ER0 +STAMPFLI S T AE1 M P F L IY0 +STAMPING S T AE1 M P IH0 NG +STAMPINGS S T AE1 M P IH0 NG Z +STAMPLEY S T AE1 M P L IY0 +STAMPS S T AE1 M P S +STAN S T AE1 N +STAN'S S T AE1 N Z +STANADYNE S T AE1 N AH0 D AY2 N +STANALAND S T AE1 N AH0 L AH0 N D +STANARD S T AE1 N ER0 D +STANAWAY S T AE1 N AH0 W EY0 +STANBACK S T AE1 N B AE2 K +STANBERRY S T AE1 N B EH2 R IY0 +STANBERY S T AE1 N B ER0 IY0 +STANBIC S T AE1 N B IH0 K +STANBROUGH S T AE1 N B R AW0 +STANBURY S T AE1 N B EH2 R IY0 +STANCE S T AE1 N S +STANCES S T AE1 N S IH0 Z +STANCH S T AE1 N CH +STANCHED S T AE1 N CH T +STANCHFIELD S T AE1 N CH F IY0 L D +STANCHING S T AE1 N CH IH0 NG +STANCIK S T AE1 N S IH0 K +STANCIL S T AE1 N S IH0 L +STANCILL S T AE1 N S IH0 L +STANCLIFF S T AE1 N K L IH0 F +STANCO S T AE1 NG K OW0 +STANCZAK S T AE1 N CH AE0 K +STANCZYK S T AE1 N CH IH0 K +STAND S T AE1 N D +STAND-BY S T AE1 N D B AY2 +STAND-UP S T AE1 N D AH2 P +STANDA S T AE1 N D AH0 +STANDALONE S T AE1 N D AH0 L OW2 N +STANDARD S T AE1 N D ER0 D +STANDARD'S S T AE1 N D ER0 D Z +STANDARD-BEARER S T AE1 N D ER0 D B EH1 R ER0 +STANDARD-BEARERS S T AE1 N D ER0 D B EH1 R ER0 Z +STANDARDIZATION S T AE0 N D ER0 D IH0 Z EY1 SH AH0 N +STANDARDIZE S T AE1 N D ER0 D AY2 Z +STANDARDIZED S T AE1 N D ER0 D AY2 Z D +STANDARDIZING S T AE1 N D ER0 D AY2 Z IH0 NG +STANDARDS S T AE1 N D ER0 D Z +STANDBY S T AE1 N D B AY1 +STANDBYS S T AE1 N D B AY2 Z +STANDEFER S T AE1 N D IH0 F ER0 +STANDEN S T AE1 N D AH0 N +STANDER S T AE1 N D ER0 +STANDERFER S T AE1 N D ER0 F ER0 +STANDERFORD S T AE1 N D ER0 F ER0 D +STANDEX S T AE1 N D AH0 K S +STANDFIELD S T AE1 N D F IY2 L D +STANDIFER S T AE1 N D IH0 F ER0 +STANDIFORD S T AE1 N D IH0 F ER0 D +STANDIN' S T AE1 N D IH0 N +STANDING S T AE1 N D IH0 NG +STANDINGS S T AE1 N D IH0 NG Z +STANDISH S T AE1 N D IH0 SH +STANDLEE S T AE1 N D L IY2 +STANDLEY S T AE1 N D L IY0 +STANDOFF S T AE1 N D AO2 F +STANDOFFS S T AE1 N D AO2 F S +STANDOUT S T AE1 N D AW2 T +STANDOUTS S T AE1 N D AW2 T S +STANDPOINT S T AE1 N D P OY2 N T +STANDPOINTS S T AE1 N D P OY2 N T S +STANDRE S T AE1 N D ER0 +STANDRIDGE S T AE1 N D R IH0 JH +STANDS S T AE1 N D Z +STANDSTILL S T AE1 N D S T IH2 L +STANDUP S T AE1 N D AH2 P +STANEK S T AE1 N IH0 K +STANFIELD S T AE1 N F IY2 L D +STANFILL S T AE1 N F AH0 L +STANFORD S T AE1 N F ER0 D +STANFORD'S S T AE1 N F ER0 D Z +STANFORTH S T AE1 N F ER0 TH +STANG S T AE1 NG +STANGA S T AA1 NG G AH0 +STANGE S T AE1 N JH +STANGEL S T EY1 NG G AH0 L +STANGELAND S T EY1 NG G IH0 L AH0 N D +STANGELAND(2) S T EY1 NG G L AH0 N D +STANGELO S T AA0 NG G EH1 L OW0 +STANGER S T AE1 NG ER0 +STANGL S T AE1 NG G AH0 L +STANGLAND S T AE1 NG G L AH0 N D +STANGLE S T AE1 NG G AH0 L +STANGLER S T AE1 NG G AH0 L ER0 +STANGLER(2) S T AE1 NG G L ER0 +STANGO S T AA1 NG G OW0 +STANHOPE S T AE1 N AH0 P +STANIAR S T EY1 N IY0 AA0 R +STANICH S T AE1 N IH0 CH +STANIFER S T AE1 N IH0 F ER0 +STANIS S T AE1 N IH0 S +STANISH S T AE1 N IH0 SH +STANISLAS S T AH0 N IH1 S L AH0 S +STANISLAV S T AE1 N IH0 S L AA0 V +STANISLAW S T AE1 N IH0 S L AO2 +STANISLAWSKI S T AH0 N IH0 S L AA1 F S K IY0 +STANISZEWSKI S T AH0 N IH0 SH EH1 F S K IY0 +STANK S T AE1 NG K +STANKE S T AE1 NG K +STANKEVICH S T AE1 NG K AH0 V IH2 CH +STANKEY S T AE1 NG K IY0 +STANKIEWICZ S T AE1 N K AH0 V IH0 CH +STANKO S T AE1 NG K OW0 +STANKOVICH S T AE1 NG K AH0 V IH0 CH +STANKOWSKI S T AH0 NG K AO1 F S K IY0 +STANKUS S T AE1 NG K AH0 S +STANLEIGH S T AE1 N L AH0 +STANLEY S T AE1 N L IY0 +STANLEY'S S T AE1 N L IY0 Z +STANLEYTOWN S T AE1 N L IY0 T AW2 N +STANLINE S T AE1 N L AY2 N +STANLY S T AE1 N L IY0 +STANMORE S T AE1 N M AO0 R +STANN S T AE1 N +STANNARD S T AE1 N ER0 D +STANNIE S T AE1 N IY0 +STANO S T AA1 N OW0 +STANPHILL S T AE1 N P HH IH2 L +STANSBERRY S T AE1 N S B EH2 R IY0 +STANSBURY S T AE1 N S B EH0 R IY0 +STANSEL S T AE1 N S AH0 L +STANSELL S T AE1 N S AH0 L +STANSFIELD S T AE1 N S F IY0 L D +STANSKY S T AE1 N S K IY0 +STANT S T AE1 N T +STANTON S T AE1 N T AH0 N +STANWAY S T AE1 N W EY2 +STANWICK S T AE1 N W IH0 K +STANWOOD S T AE1 N W UH2 D +STANZA S T AE1 N Z AH0 +STANZAS S T AE1 N Z AH0 Z +STANZIONE S T AA0 N Z IY0 OW1 N IY0 +STAPEL S T AE1 P AH0 L +STAPF S T AE1 P F +STAPH S T AE1 F +STAPHYLOCOCCUS S T AE2 F AH0 L AH0 K AO1 K AH0 S +STAPLE S T EY1 P AH0 L +STAPLED S T EY1 P AH0 L D +STAPLER S T EY1 P AH0 L ER0 +STAPLER(2) S T EY1 P L ER0 +STAPLERS S T EY1 P AH0 L ER0 Z +STAPLERS(2) S T EY1 P L ER0 Z +STAPLES S T EY1 P AH0 L Z +STAPLETON S T EY1 P AH0 L T AH0 N +STAPLEY S T AE1 P L IY0 +STAPLING S T EY1 P AH0 L IH0 NG +STAPLING(2) S T EY1 P L IH0 NG +STAPP S T AE1 P +STAR S T AA1 R +STAR'S S T AA1 R Z +STARACE S T AA0 R AA1 CH IY0 +STARBIRD S T AA1 R B ER2 D +STARBOARD S T AA1 R B ER0 D +STARBOARDS S T AA1 R B ER0 R D Z +STARBOARDS(2) S T AA1 R B AO2 R D Z +STARBUCK S T AA1 R B AH2 K +STARBUCK'S S T AA1 R B AH2 K S +STARBUCKS S T AA1 R B AH2 K S +STARCEVICH S T AA1 R S IH0 V IH0 CH +STARCH S T AA1 R CH +STARCHED S T AA1 R CH T +STARCHER S T AA1 R CH ER0 +STARCHES S T AA1 R CH IH0 Z +STARCHLIKE S T AA1 R CH L AY2 K +STARCHY S T AA1 R CH IY0 +STARCK S T AA1 R K +STARCKMANN S T AA1 R K M AH0 N +STARCRAFT S T AA1 R K R AE2 F T +STARCROSS S T AA1 R K R AO2 S +STARDEL S T AA1 R D EH2 L +STARDENT S T AA1 R D EH2 N T +STARDOM S T AA1 R D AH0 M +STARDUST S T AA1 R D AH2 S T +STARE S T EH1 R +STARED S T EH1 R D +STARER S T EH1 R ER0 +STARES S T EH1 R Z +STARFISH S T AA1 R F IH2 SH +STARFLEET S T AA1 R F IY2 T +STARFLEET'S S T AA1 R F IY2 T S +STARGATE S T AA1 R G EY2 T +STARGATES S T AA1 R G EY2 T S +STARGAZER S T AA1 R G EY2 Z ER0 +STARGAZERS S T AA1 R G EY2 Z ER0 Z +STARIN S T AE1 R IH0 N +STARIN' S T EH1 R IH0 N +STARING S T EH1 R IH0 NG +STARK S T AA1 R K +STARK'S S T AA1 R K S +STARKE S T AA1 R K +STARKEL S T AA1 R K AH0 L +STARKER S T AA1 R K ER0 +STARKERS S T AA1 R K ER0 Z +STARKES S T AA1 R K S +STARKEY S T AA1 R K IY2 +STARKIST S T AA1 R K IH0 S T +STARKLY S T AA1 R K L IY0 +STARKMAN S T AA1 R K M AH0 N +STARKNESS S T AA1 R K N IH0 S +STARKOVICH S T AA1 R K AH0 V IH0 CH +STARKS S T AA1 R K S +STARKWEATHER S T AA1 R K W EH2 DH ER0 +STARLET S T AA1 R L AH0 T +STARLETS S T AA1 R L AH0 T S +STARLIGHT S T AA1 R L AY2 T +STARLIKE S T AA1 R L AY2 K +STARLIN S T AA1 R L IH0 N +STARLING S T AA1 R L IH0 NG +STARLIPER S T AA1 R L IH0 P ER0 +STARLIT S T AA1 R L IH0 T +STARMAN S T AA1 R M AH0 N +STARMER S T AA1 R M ER0 +STARN S T AA1 R N +STARNER S T AA1 R N ER0 +STARNES S T AA1 R N Z +STARNS S T AA1 R N Z +STARODUBSTEV S T AA2 R OW0 D AH1 B S T EH2 V +STARON S T AE1 R AH0 N +STARPLEX S T AA1 R P L EH2 K S +STARPOINTE S T AA1 R P OY2 N T +STARR S T AA1 R +STARR'S S T AA1 R Z +STARRED S T AA1 R D +STARRETT S T AE1 R IH0 T +STARRING S T AA1 R IH0 NG +STARRS S T AA1 R Z +STARRY S T AA1 R IY2 +STARS S T AA1 R Z +STARS' S T AA1 R Z +STARSHIP S T AA1 R SH IH2 P +STARSIGHT S T AA1 R S AY2 T +STARSTREAM S T AA1 R S T R IY2 M +STARSTRUCK S T AA1 R S T R AH2 K +START S T AA1 R T +START-UP S T AA1 R T AH2 P +START-UPS S T AA1 R T AH1 P S +STARTED S T AA1 R T IH0 D +STARTER S T AA1 R T ER0 +STARTERS S T AA1 R T ER0 Z +STARTING S T AA1 R T IH0 NG +STARTLE S T AA1 R T AH0 L +STARTLED S T AA1 R T AH0 L D +STARTLES S T AA1 R T AH0 L Z +STARTLING S T AA1 R T L IH0 NG +STARTLINGLY S T AA1 R T L IH0 NG L IY2 +STARTS S T AA1 R T S +STARTUP S T AA1 R T AH2 P +STARTUPS S T AA1 R T AH2 P S +STARVATION S T AA0 R V EY1 SH AH0 N +STARVE S T AA1 R V +STARVED S T AA1 R V D +STARVES S T AA1 R V Z +STARVING S T AA1 R V IH0 NG +STARWALT S T AA1 R W AH0 L T +STARWAVE S T AA1 R W EY2 V +STARY S T EH1 R IY0 +STARZYK S T AA1 R Z IH0 K +STASH S T AE1 SH +STASHED S T AE1 SH T +STASHING S T AE1 SH IH0 NG +STASI S T AA1 S IY0 +STASIAK S T AA1 S IY0 AE0 K +STASIK S T AA1 S IH0 K +STASIO S T AA1 S IY0 OW0 +STASKO S T AA1 S K OW0 +STASNEY S T AE1 S N IY0 +STASNY S T AE1 S N IY0 +STASSEN S T AE1 S AH0 N +STASSI S T AE1 S IY0 +STASTNY S T AE1 S T N IY2 +STASZAK S T AA1 SH AH0 K +STASZEWSKI S T AH0 SH EH1 F S K IY2 +STAT S T AE1 T +STATE S T EY1 T +STATE'S S T EY1 T S +STATE-OF-THE-ART S T EY2 T AH0 V DH IH0 AA1 R T +STATECRAFT S T EY1 T K R AE2 F T +STATED S T EY1 T IH0 D +STATEHOOD S T EY1 T HH UH2 D +STATEHOUSE S T EY1 T HH AW2 S +STATEHOUSES S T EY1 T HH AW2 S IH0 Z +STATELESS S T EY1 T L IH0 S +STATELY S T EY1 T L IY0 +STATEMENT S T EY1 T M AH0 N T +STATEMENT'S S T EY1 T M AH0 N T S +STATEMENTS S T EY1 T M AH0 N T S +STATEN S T AE1 T AH0 N +STATER S T EY1 T ER0 +STATER'S S T EY1 T ER0 Z +STATERS S T EY1 T ER0 Z +STATES S T EY1 T S +STATES' S T EY1 T S +STATESBOROUGH S T EY1 T S B AH0 R OW0 +STATESIDE S T EY1 T S AY1 D +STATESMAN S T EY1 T S M AH0 N +STATESMAN'S S T EY1 T S M AH0 N Z +STATESMANLIKE S T AH0 T EH1 S M AH0 N L AY2 K +STATESMANSHIP S T EY1 T S M AH0 N SH IH2 P +STATESMEN S T EY1 T S M IH0 N +STATESWEST S T EY2 T S W EH1 S T +STATEWIDE S T EY1 T W AY2 D +STATHAM S T AE1 TH AH0 M +STATHIS S T AE1 TH IH0 S +STATHOPOULOS S T AH0 TH AA1 P AH0 L IH0 S +STATIC S T AE1 T IH0 K +STATICS S T AE1 T IH0 K S +STATIN S T EY1 T IH0 N +STATIN'S S T EY1 T IH0 N Z +STATING S T EY1 T IH0 NG +STATINS S T EY1 T IH0 N Z +STATION S T EY1 SH AH0 N +STATION'S S T EY1 SH AH0 N Z +STATIONARY S T EY1 SH AH0 N EH2 R IY0 +STATIONED S T EY1 SH AH0 N D +STATIONER S T EY1 SH AH0 N ER0 +STATIONERS S T EY1 SH AH0 N ER0 Z +STATIONERY S T EY1 SH AH0 N EH2 R IY0 +STATIONING S T EY1 SH AH0 N IH0 NG +STATIONS S T EY1 SH AH0 N Z +STATIONS' S T EY1 SH AH0 N Z +STATISM S T EY1 T IH2 Z AH0 M +STATIST S T EY1 T IH0 S T +STATISTIC S T AH0 T IH1 S T IH0 K +STATISTICAL S T AH0 T IH1 S T IH0 K AH0 L +STATISTICALLY S T AH0 T IH1 S T IH0 K AH0 L IY0 +STATISTICALLY(2) S T AH0 T IH1 S T IH0 K L IY0 +STATISTICIAN S T AE2 T AH0 S T IH1 SH AH0 N +STATISTICIANS S T AE2 T IH0 S T IH1 SH AH0 N Z +STATISTICS S T AH0 T IH1 S T IH0 K S +STATISTICS' S T AH0 T IH1 S T IH0 K S +STATISTS S T EY1 T IH0 S T S +STATLER S T AE1 T L ER0 +STATOIL S T AH0 T OY1 L +STATON S T AE1 T AH0 N +STATS S T AE1 T S +STATTIN S T AE1 T IH0 N +STATTON S T AE1 T AH0 N +STATUARY S T AE1 CH UW0 EH2 R IY0 +STATUE S T AE1 CH UW2 +STATUES S T AE1 CH UW2 Z +STATUESQUE S T AE2 CH UW0 EH1 S K +STATUETTE S T AE2 CH UW0 EH1 T +STATUETTES S T AE2 CH UW0 EH1 T S +STATUM S T AE1 T AH0 M +STATURE S T AE1 CH ER0 +STATUS S T AE1 T AH0 S +STATUS(2) S T EY1 T AH0 S +STATUTE S T AE1 CH UW0 T +STATUTE'S S T AE1 CH UW0 T S +STATUTES S T AE1 CH UW0 T S +STATUTORILY S T AE1 CH AH0 T AO2 R AH0 L IY0 +STATUTORILY(2) S T AE1 CH Y UW0 T AO2 R AH0 L IY0 +STATUTORY S T AE1 CH AH0 T AO2 R IY0 +STATZ S T AE1 T S +STATZER S T AE1 T Z ER0 +STATZER(2) S T EY1 T Z ER0 +STAUB S T AO1 B +STAUBER S T AW1 B ER0 +STAUBIN S T AW1 B IH0 N +STAUBS S T AO1 B Z +STAUCH S T AO1 CH +STAUDACHER S T AW1 D AH0 K ER0 +STAUDE S T AO1 D +STAUDER S T AW1 D ER0 +STAUDINGER S T AW1 D IH0 NG ER0 +STAUDT S T AO1 D T +STAUFF S T AO1 F +STAUFFACHER S T AW1 F AH0 K ER0 +STAUFFER S T AO1 F ER0 +STAUFFER'S S T AO1 F ER0 Z +STAUNCH S T AO1 N CH +STAUNCHEST S T AO1 N CH AH0 S T +STAUNCHLY S T AO1 N CH L IY0 +STAUNTON S T AO1 N T AH0 N +STAUP S T AO1 P +STAUSS S T AO1 S +STAUTER S T AW1 T ER0 +STAVE S T EY1 V +STAVED S T EY1 V D +STAVELY S T EY1 V L IY0 +STAVER S T EY1 V ER0 +STAVES S T EY1 V Z +STAVING S T EY1 V IH0 NG +STAVINOHA S T AE0 V IH0 N OW1 HH AH0 +STAVOLA S T AA0 V OW1 L AH0 +STAVROPOULOS S T AH0 V R AA1 P AH0 L IH0 S +STAVROS S T AH0 V R OW1 Z +STAWICKI S T AA0 V IH1 T S K IY0 +STAWSKI S T AA1 F S K IY0 +STAY S T EY1 +STAYED S T EY1 D +STAYER S T EY1 ER0 +STAYING S T EY1 IH0 NG +STAYNER S T EY1 N ER0 +STAYOVER S T EY1 OW2 V ER0 +STAYOVERS S T EY1 OW2 V ER0 Z +STAYS S T EY1 Z +STAYTON S T EY1 T AH0 N +STDS EH1 S T IY1 D IY1 Z +STDS(2) EH1 S T IY1 D IY1 EH1 S +STEAD S T EH1 D +STEADFAST S T EH1 D F AE2 S T +STEADFASTLY S T EH1 D F AE2 S T L IY0 +STEADFASTNESS S T EH1 D F AE2 S T N AH0 S +STEADHAM S T EH1 D HH AH0 M +STEADIED S T EH1 D IY0 D +STEADIER S T EH1 D IY0 ER0 +STEADILY S T EH1 D AH0 L IY0 +STEADINESS S T EH1 D IY0 N IH0 S +STEADMAN S T EH1 D M AH0 N +STEADY S T EH1 D IY0 +STEAGALL S T IY1 G AH0 L +STEAGLE S T IY1 G AH0 L +STEAK S T EY1 K +STEAKHOUSE S T EY1 K HH AW2 S +STEAKHOUSES S T EY1 K HH AW2 S IH0 Z +STEAKLEY S T IY1 K L IY0 +STEAKS S T EY1 K S +STEAL S T IY1 L +STEALER S T IY1 L ER0 +STEALEY S T IY1 L IY0 +STEALING S T IY1 L IH0 NG +STEALS S T IY1 L Z +STEALTH S T EH1 L TH +STEALTHIER S T EH1 L TH IY0 ER0 +STEALTHIES S T EH1 L TH IY0 Z +STEALTHIEST S T EH1 L TH IY0 AH0 S T +STEALTHY S T EH1 L TH IY0 +STEAM S T IY1 M +STEAMBOAT S T IY1 M B OW2 T +STEAMBOATS S T IY1 M B OW2 T S +STEAMED S T IY1 M D +STEAMER S T IY1 M ER0 +STEAMERS S T IY1 M ER0 Z +STEAMIER S T IY1 M IY0 ER0 +STEAMIEST S T IY1 M IY0 AH0 S T +STEAMILY S T IY1 M AH0 L IY0 +STEAMING S T IY1 M IH0 NG +STEAMROLLER S T IY1 M R OW2 L ER0 +STEAMROLLERED S T IY1 M R OW2 L ER0 D +STEAMS S T IY1 M Z +STEAMSHIP S T IY1 M SH IH2 P +STEAMY S T IY1 M IY0 +STEAR S T IH1 R +STEARIC S T IY1 R IH0 K +STEARMAN S T IH1 R M AH0 N +STEARN S T ER1 N +STEARNE S T ER1 N +STEARNS S T ER1 N Z +STEARNS'S S T ER1 N Z IH0 Z +STEARS S T IY1 R Z +STEBBINS S T EH1 B IH0 N Z +STEBER S T IY1 B ER0 +STEBNER S T EH1 B N ER0 +STEC S T EH1 K +STECH S T EH1 K +STECHER S T EH1 K ER0 +STECHLER S T EH1 K L ER0 +STECHSCHULTE S T EH1 K SH AH0 L T +STECK S T EH1 K +STECKEL S T EH1 K AH0 L +STECKELBERG S T EH1 K AH0 L B ER0 G +STECKER S T EH1 K ER0 +STECKLEIN S T EH1 K L AY2 N +STECKLER S T EH1 K L ER0 +STECKLEY S T EH1 K L IY0 +STECKMAN S T EH1 K M AH0 N +STEDMAN S T EH1 D M AH0 N +STEEB S T IY1 B +STEEBER S T IY1 B ER0 +STEED S T IY1 D +STEED'S S T IY1 D Z +STEEDLEY S T IY1 D L IY0 +STEEDMAN S T IY1 D M AH0 N +STEEDS S T IY1 D Z +STEEG S T IY1 G +STEEGE S T IY1 JH +STEEGO S T IY1 G OW0 +STEEL S T IY1 L +STEEL'S S T IY1 L Z +STEELCASE S T IY1 L K EY2 S +STEELE S T IY1 L +STEELED S T IY1 L D +STEELER S T IY1 L ER0 +STEELERS S T IY1 L ER0 Z +STEELEY S T IY1 L IY0 +STEELHEAD S T IY1 L HH EH2 D +STEELMAKER S T IY1 L M EY2 K ER0 +STEELMAKER'S S T IY1 L M EY2 K ER0 Z +STEELMAKERS S T IY1 L M EY2 K ER0 Z +STEELMAKERS' S T IY1 L M AH0 K ER0 Z +STEELMAKING S T IY1 L M EY2 K IH0 NG +STEELMAN S T IY1 L M AH0 N +STEELS S T IY1 L Z +STEELWORKER S T IY1 L W ER2 K ER0 +STEELWORKERS S T IY1 L W ER2 K ER0 Z +STEELWORKERS' S T IY1 L W ER0 K ER0 Z +STEELWORKS S T IY1 L W ER2 K S +STEELY S T IY1 L IY0 +STEEN S T IY1 N +STEENBERGEN S T IY1 N B ER0 G AH0 N +STEENBURGEN S T IY1 N B ER0 G AH0 N +STEENKAMP S T IY1 N K AE2 M P +STEENKISTE S T IY1 N K IH2 S T +STEENROD S T IY1 N R AH0 D +STEENSMA S T IY1 N Z M AH0 +STEENSON S T IY1 N S AH0 N +STEEP S T IY1 P +STEEPED S T IY1 P T +STEEPENED S T IY1 P AH0 N D +STEEPER S T IY1 P ER0 +STEEPEST S T IY1 P AH0 S T +STEEPLE S T IY1 P AH0 L +STEEPLECHASE S T IY1 P AH0 L CH EY2 S +STEEPLES S T IY1 P AH0 L Z +STEEPLY S T IY1 P L IY0 +STEEPNESS S T IY1 P N AH0 S +STEER S T IH1 R +STEERE S T IH1 R +STEERED S T IH1 R D +STEERING S T IH1 R IH0 NG +STEERS S T IH1 R Z +STEES S T IY1 Z +STEETON S T IY1 T AH0 N +STEEVER S T IY1 V ER0 +STEEVES S T IY1 V Z +STEFA S T EH1 F AH0 +STEFAN S T EH1 F AA0 N +STEFANELLI S T EH0 F AA0 N EH1 L IY0 +STEFANI S T EH1 F AH0 N IY0 +STEFANI'S S T EH1 F AH0 N IY0 Z +STEFANIAK S T IH0 F AE1 N IY0 AE0 K +STEFANIC S T IH0 F AE1 N IH0 K +STEFANICH S T EH1 F AH0 N IH0 CH +STEFANICK S T EH1 F AH0 N IH0 K +STEFANIE S T EH1 F AH0 N IY0 +STEFANIK S T IH0 F AE1 N IH0 K +STEFANKO S T IH0 F AE1 NG K OW0 +STEFANO S T EH1 F AH0 N OW0 +STEFANOPOLIS S T EH2 F AH0 N AO1 P AH0 L AH0 S +STEFANOWICZ S T IH0 F AE1 N AH0 V IH0 CH +STEFANSKI S T IH0 F AE1 N S K IY0 +STEFFAN S T EH1 F AH0 N +STEFFANCI S T EH2 F AA1 N S IY0 +STEFFE S T EH1 F +STEFFEK S T EH1 F IH0 K +STEFFEL S T EH1 F AH0 L +STEFFEN S T EH1 F AH0 N +STEFFENHAGEN S T EH1 F IH0 N HH AH0 G AH0 N +STEFFENS S T EH1 F AH0 N Z +STEFFENSEN S T EH1 F IH0 N S AH0 N +STEFFENSMEIER S T EH1 F IH0 N S M AY0 ER0 +STEFFENSON S T EH1 F IH0 N S AH0 N +STEFFES S T EH1 F S +STEFFEY S T EH1 F IY0 +STEFFI S T EH1 F IY0 +STEFFIE S T EH1 F IY0 +STEFFLER S T EH1 F L ER0 +STEFFY S T EH1 F IY0 +STEFKO S T EH1 F K OW0 +STEFL S T EH1 F AH0 L +STEGALL S T EH1 G AH0 L +STEGAR S T IY1 G ER0 +STEGAR'S S T IY1 G ER0 Z +STEGE S T IY1 JH +STEGEMAN S T IY1 G M AH0 N +STEGEMANN S T IY1 G M AH0 N +STEGEMEIER S T EH1 G M AY2 R +STEGENGA S T EH0 JH EH1 NG G AH0 +STEGER S T IY1 G ER0 +STEGMAIER S T EH1 G M AY0 ER0 +STEGMAN S T EH1 G M AH0 N +STEGMANN S T EH1 G M AH0 N +STEGNER S T EH1 G N ER0 +STEGOSAURUS S T EH2 G AH0 S AO1 R AH0 S +STEHLE S T EH1 HH AH0 L +STEHLIK S T EH1 L IH0 K +STEHLIN S T EH1 L IH0 N +STEHLING S T EH1 L IH0 NG +STEHMAN S T EH1 M AH0 N +STEHR S T EH1 R +STEIB S T IY1 B +STEICHEN S T AY1 K AH0 N +STEIDEL S T AY1 D AH0 L +STEIDINGER S T AY1 D IH0 NG ER0 +STEIDL S T IY1 D AH0 L +STEIDLE S T IY1 D AH0 L +STEIDTMANN S T AY1 T M AH0 N +STEIER S T AY1 ER0 +STEIG S T IY1 G +STEIGER S T AY1 G ER0 +STEIGERWALD S T AY1 G ER0 W AO2 L D +STEIGERWALT S T AY1 G ER0 W AH0 L T +STEIL S T IY1 L +STEIMAN S T AY1 M AH0 N +STEIMEL S T AY1 M AH0 L +STEIMER S T AY1 M ER0 +STEIMLE S T IY1 M AH0 L +STEIN S T AY1 N +STEIN'S S T AY1 N Z +STEINACKER S T AY1 N AE0 K ER0 +STEINBACH S T AY1 N B AA2 K +STEINBACHER S T AY1 N B AA2 K ER0 +STEINBACK S T AY1 N B AE2 K +STEINBAUER S T AY1 N B AW0 ER0 +STEINBAUGH S T AY1 N B AW0 +STEINBECK S T AY1 N B EH2 K +STEINBECK'S S T AY1 N B EH2 K S +STEINBERG S T AY1 N B ER0 G +STEINBERG'S S T AY1 N B ER0 G Z +STEINBERGEN S T AY1 N B AH0 R G AH0 N +STEINBERGER S T AY1 N B ER0 G ER0 +STEINBOCK S T AY1 N B AA2 K +STEINBORN S T AY1 N B AO1 R N +STEINBRECHER S T AY1 N B R EH2 K ER0 +STEINBRENNER S T AY1 N B R EH2 N ER0 +STEINBRINK S T AY1 N B R IH2 NG K +STEINEM S T AY1 N AH0 M +STEINER S T AY1 N ER0 +STEINER'S S T AY1 N ER0 Z +STEINERT S T AY1 N ER0 T +STEINES S T AY1 N Z +STEINFELD S T AY1 N F EH2 L D +STEINFELDT S T AY1 N F EH2 L T +STEINGUT S T AY1 N G AH2 T +STEINHAGEN S T AY1 N HH AE0 G AH0 N +STEINHARDT S T AY1 N HH AA2 R T +STEINHARDT'S S T AY1 N HH AA0 R T S +STEINHART S T AY1 N HH AA2 R T +STEINHAUER S T AY1 N HH AW0 ER0 +STEINHAUS S T AY1 N HH AW2 S +STEINHAUSER S T AY1 N HH AW2 Z ER0 +STEINHILBER S T AY1 N HH IH2 L B ER0 +STEINHOFF S T AY1 N HH AO2 F +STEINHORST S T AY1 N HH AO0 R S T +STEININGER S T AY1 N IH0 NG ER0 +STEINKAMP S T AY1 NG K AE0 M P +STEINKE S T AY1 NG K +STEINKRAUS S T AY1 NG K R AW0 Z +STEINKRAUSS S T AY1 N K R AW2 S +STEINKUEHLER S T AY1 N K Y UW2 L ER0 +STEINLE S T AY1 N AH0 L +STEINMAN S T AY1 N M AH0 N +STEINMANN S T AY1 N M AH0 N +STEINMETZ S T AY1 N M EH0 T S +STEINMEYER S T AY1 N M AY0 ER0 +STEINMILLER S T AY1 N M IH2 L ER0 +STEINROE S T AY1 N R OW2 +STEINWAY S T AY1 N W EY2 +STEINWAY'S S T AY1 N W EY2 Z +STEITZ S T IY1 T S +STEJSKAL S T EH1 JH S K AH0 L +STEKETEE S T EH1 K IH0 T IY0 +STEKLY S T EH1 K L IY0 +STELCO S T EH1 L K OW0 +STELIAN S T IY1 L IY0 AH0 N +STELL S T EH1 L +STELLA S T EH1 L AH0 +STELLA'S S T EH1 L AH0 Z +STELLAR S T EH1 L ER0 +STELLARTON S T EH1 L ER0 T AH0 N +STELLATO S T EH0 L AA1 T OW0 +STELLE S T EH1 L +STELLENBOSCH S T EH1 L AH0 N B AO2 SH +STELLER S T EH1 L ER0 +STELLHORN S T EH1 L HH ER0 N +STELLING S T EH1 L IH0 NG +STELLJES S T EY1 L Y EH0 S +STELLMACH S T EH1 L M AH0 K +STELLMACHER S T EH1 L M AH0 K ER0 +STELLMAN S T EH1 L M AH0 N +STELLO S T EH1 L OW0 +STELLY S T EH1 L IY0 +STELMACH S T EH1 L M AH0 K +STELMACK S T EH1 L M AH0 K +STELOFF S T EH1 L AO0 F +STELTER S T EH1 L T ER0 +STELTZ S T EH1 L T S +STELZER S T EH1 L Z ER0 +STELZNER S T EH1 L Z N ER0 +STEM S T EH1 M +STEMBERG S T EH1 M B ER0 G +STEMBRIDGE S T EH1 M B R IH2 JH +STEMEN S T EH1 M AH0 N +STEMLER S T EH1 M L ER0 +STEMLIKE S T EH1 M L AY2 K +STEMM S T EH1 M +STEMMED S T EH1 M D +STEMMER S T EH1 M ER0 +STEMMING S T EH1 M IH0 NG +STEMMLER S T EH1 M L ER0 +STEMPEL S T EH1 M P AH0 L +STEMPEL'S S T EH1 M P AH0 L Z +STEMPER S T EH1 M P ER0 +STEMPIEN S T EH1 M P IY0 N +STEMPLE S T EH1 M P AH0 L +STEMPLER S T EH1 M P L ER0 +STEMPLER'S S T EH1 M P L ER0 Z +STEMPOSTS S T EH1 M P OW2 S T S +STEMS S T EH1 M Z +STEN S T EH1 N +STENA S T IY1 N AH0 +STENA(2) S T EH1 N AH0 +STENA(3) S T EY1 N AH0 +STENBERG S T EH1 N B ER0 G +STENCEL S T EH1 N S AH0 L +STENCH S T EH1 N CH +STENCIL S T EH1 N S IH0 L +STENCILED S T EH1 N S IH0 L D +STENCILING S T EH1 N S IH0 L IH0 NG +STENCILING(2) S T EH1 N S L IH0 NG +STENDAL S T EH1 N D AH0 L +STENDER S T EH1 N D ER0 +STENDHAL S T EH1 N D AA0 L +STENDIG S T EH1 N D IH0 G +STENE S T IY1 N +STENERSON S T EH1 N ER0 S AH0 N +STENGEL S T EH1 NG G AH0 L +STENGER S T EH1 N JH ER0 +STENGLEIN S T IH1 NG L AY0 N +STENHOLM S T EH1 N HH OW2 L M +STENHOUSE S T EH1 N HH AW2 S +STENNER S T EH1 N ER0 +STENNETT S T EH1 N IH0 T +STENNIS S T EH1 N IH0 S +STENO S T EH1 N OW0 +STENOGRAPHER S T EH0 N AH1 G R AH0 F ER0 +STENOGRAPHIC S T EH2 N AH0 G R AE1 F IH0 K +STENOSIS S T EH2 N OW1 S IH0 S +STENQUIST S T EH1 N K W IH2 S T +STENSETH S T EH1 N S IH0 TH +STENSLAND S T EH1 N S L AH0 N D +STENSON S T EH1 N S AH0 N +STENSRUD S T EH1 N S R AH0 D +STENSTROM S T EH1 N S T R AH0 M +STENT S T EH1 N T +STENTOR S T EH1 N T ER0 +STENTORS S T EH1 N T ER0 Z +STENTZ S T EH1 N T S +STENY S T EH1 N IY0 +STENZ S T EH1 N Z +STENZEL S T EH1 N Z AH0 L +STEP S T EH1 P +STEP-BY-STEP S T EH1 P B IY0 S T EH2 P +STEPAN S T EH1 P AH0 N +STEPANAKERT S T AH0 P AE1 N AH0 K ER0 T +STEPANEK S T EH1 P AH0 N IH0 K +STEPANIAN S T IH0 P EY1 N IY0 AH0 N +STEPANIAN'S S T IH0 P EY1 N IY0 AH0 N Z +STEPANSKI S T IH0 P AE1 N S K IY0 +STEPCHILD S T EH1 P CH AY2 L D +STEPCHILDREN S T EH1 P CH IH1 L D R AH0 N +STEPDAUGHTER S T EH1 P D AO2 T ER0 +STEPDAUGHTERS S T EH1 P D AO2 T ER0 Z +STEPFATHER S T EH1 P F AA2 DH ER0 +STEPH S T EH1 F +STEPHA S T EH1 F AH0 +STEPHAN S T EH1 F AH0 N +STEPHANA S T EH0 F AA1 N AH0 +STEPHANE S T EH0 F AA1 N +STEPHANI S T EH1 F AH0 N IY0 +STEPHANIA S T IH0 F AE1 N IY0 AH0 +STEPHANIE S T EH1 F AH0 N IY0 +STEPHANOPOULOS S T EH2 F AH0 N AA1 P AH0 L AH0 S +STEPHANOPOULOS' S T EH2 F AH0 N AA1 P AH0 L AH0 S +STEPHANOPOULOS'S S T EH2 F AH0 N AA1 P AH0 L AH0 S IH0 S +STEPHANS S T EH1 F AH0 N Z +STEPHANY S T EH1 F AH0 N IY0 +STEPHEN S T IY1 V AH0 N +STEPHEN'S S T IY1 V AH0 N Z +STEPHENS S T IY1 V AH0 N Z +STEPHENS(2) S T EH1 F AH0 N Z +STEPHENS'S S T IY1 V IH0 N Z IH0 Z +STEPHENSON S T IY1 V AH0 N S AH0 N +STEPHENVILLE S T IY1 V IH0 N V IH2 L +STEPIEN S T EH1 P IY0 AH0 N +STEPKA S T EH1 P K AA2 +STEPLADDER S T EH1 P L AE2 D ER0 +STEPLADDERS S T EH1 P L AE2 D ER0 Z +STEPMOM S T EH1 P M AA2 M +STEPMOTHER S T EH1 P M AH2 DH ER0 +STEPNEY S T EH1 P N IY0 +STEPP S T EH1 P +STEPPE S T EH1 P +STEPPED S T EH1 P T +STEPPEL S T EH1 P AH0 L +STEPPENWOLF S T EH1 P AH0 N W UH2 L F +STEPPER S T EH1 P ER0 +STEPPERS S T EH1 P ER0 Z +STEPPES S T EH1 P S +STEPPIN' S T EH1 P IH0 N +STEPPING S T EH1 P IH0 NG +STEPPINGSTONE S T EH1 P IH0 NG S T OW2 N +STEPS S T EH1 P S +STEPSISTER S T EH1 P S IH2 S T ER0 +STEPSISTERS S T EH1 P S IH2 S T ER0 Z +STEPSON S T EH1 P S AH2 N +STEPTOE S T EH1 P T OW2 +STERBA S T EH1 R B AH0 +STERBENZ S T ER1 B IH0 N S +STERCHI S T EH1 R K IY0 +STEREO S T EH1 R IY0 OW2 +STEREOGRAPHIC S T EH2 R IY0 AH0 G R AE1 F IH0 K +STEREOLAB S T EH1 IY0 OW0 L AE2 B +STEREOMICROSCOPE S T EH2 R IY2 OW0 M AY1 K R AH0 S K OW2 P +STEREOS S T EH1 R IY0 OW2 Z +STEREOTACTIC S T EH2 R IY0 OW2 T AE1 K T IH0 K +STEREOTYPE S T EH1 R IY0 AH0 T AY2 P +STEREOTYPE(2) S T EH1 R IY0 OW0 T AY2 P +STEREOTYPED S T EH1 R IY0 AH0 T AY2 P T +STEREOTYPED(2) S T EH1 R IY0 OW0 T AY2 P T +STEREOTYPES S T EH1 R IY0 AH0 T AY2 P S +STEREOTYPES(2) S T EH1 R IY0 OW0 T AY2 P S +STEREOTYPICAL S T EH2 R IY0 OW0 T IH1 P IH0 K AH0 L +STEREOTYPICAL(2) S T EH2 R IY0 AH0 T IH1 P IH0 K AH0 L +STEREOTYPICALLY S T EH2 R IY0 OW0 T IH1 P IH0 K AH0 L IY2 +STEREOTYPING S T EH1 R IY0 AH0 T AY2 P IH0 NG +STEREOTYPING(2) S T EH1 R IY0 OW0 T AY2 P IH0 NG +STERETT S T EH1 R IH0 T +STERETT'S S T EH1 R AH0 T S +STERILE S T EH1 R AH0 L +STERILITY S T ER0 IH1 L IH0 T IY0 +STERILIZATION S T EH2 R AH0 L AH0 Z EY1 SH AH0 N +STERILIZATION(2) S T EH2 R AH0 L IH0 Z EY1 SH AH0 N +STERILIZATIONS S T EH2 R AH0 L AH0 Z EY1 SH AH0 N Z +STERILIZATIONS(2) S T EH2 R AH0 L IH0 Z EY1 SH AH0 N Z +STERILIZE S T EH1 R AH0 L AY2 Z +STERILIZED S T EH1 R AH0 L AY2 Z D +STERILIZER S T EH1 R AH0 L AY2 Z ER0 +STERILIZERS S T EH1 R AH0 L AY2 Z ER0 Z +STERILIZES S T EH1 R AH0 L AY2 Z IH0 Z +STERILIZING S T EH1 R AH0 L AY2 Z IH0 NG +STERK S T ER1 K +STERKEL S T ER1 K AH0 L +STERLE S T ER1 AH0 L +STERLING S T ER1 L IH0 NG +STERLING'S S T ER1 L IH0 NG Z +STERMAN S T ER1 M AH0 N +STERMER S T ER1 M ER0 +STERN S T ER1 N +STERN'S S T ER1 N Z +STERNBACH S T ER1 N B AA0 K +STERNBERG S T ER1 N B ER0 G +STERNBERGER S T ER1 N B ER0 G ER0 +STERNE S T ER1 N +STERNEM S T ER1 N EH0 M +STERNER S T ER1 N ER0 +STERNEST S T ER1 N AH0 S T +STERNFELD S T ER1 N F EH0 L D +STERNHAGEN S T ER1 N HH AH0 G AH0 N +STERNLY S T ER1 N L IY0 +STERNNESS S T ER1 N N AH0 S +STERNNESS(2) S T ER1 N AH0 S +STERNPOST S T ER1 N P OW2 S T +STERNPOSTS S T ER1 N P OW2 S T S +STERNS S T ER1 N Z +STEROID S T ER0 OY1 D +STEROIDS S T EH1 R OY0 D Z +STERR S T EH1 R +STERRETT S T EH1 R IH0 T +STERRY S T EH1 R IY0 +STET S T EH1 T +STETHEM S T EH1 TH AH0 M +STETHEM(2) S T EH1 T AH0 M +STETHOSCOPE S T EH1 TH AH0 S K OW2 P +STETHOSCOPES S T EH1 TH AH0 S K OW2 P S +STETLER S T EH1 T L ER0 +STETSON S T EH1 T S AH0 N +STETTER S T EH1 T ER0 +STETTLER S T EH1 T L ER0 +STETTNER S T EH1 T N ER0 +STETZ S T EH1 T S +STETZEL S T EH1 T Z AH0 L +STETZER S T EH1 T Z ER0 +STEUART S T OY1 AA0 R T +STEUBEN S T Y UW1 B IH0 N +STEUBEN(2) S T UW1 B IH0 N +STEUBENVILLE S T UW1 B AH0 N V IH2 L +STEUBER S T OY1 B ER0 +STEUCK S T UW1 K +STEUER S T OY1 ER0 +STEUERWALD S T OY1 ER0 W AO0 L D +STEURER S T ER1 ER0 +STEUVER S T UW1 V ER0 +STEVANA S T IH0 V AE1 N AH0 +STEVE S T IY1 V +STEVE'S S T IY1 V Z +STEVEDORE S T IY1 V AH0 D AO2 R +STEVEDORING S T IY1 V AH0 D AO2 R IH0 NG +STEVEN S T IY1 V AH0 N +STEVEN'S S T IY1 V AH0 N Z +STEVENA S T EH1 V IH0 N AH0 +STEVENS S T IY1 V AH0 N Z +STEVENS' S T IY1 V AH0 N Z +STEVENS'S S T IY1 V AH0 N Z AH0 Z +STEVENS'S(2) S T IY1 V AH0 N Z IH0 Z +STEVENSON S T IY1 V AH0 N S AH0 N +STEVER S T IY1 V ER0 +STEVERSON S T EH1 V ER0 S AH0 N +STEVES S T IY1 V Z +STEVESON S T EH1 V IH0 S AH0 N +STEVICK S T EH1 V IH0 K +STEVIE S T IY1 V IY0 +STEVISON S T EH1 V IH0 S AH0 N +STEW S T UW1 +STEW'S S T UW1 Z +STEWARD S T UW1 ER0 D +STEWARDESS S T UW1 ER0 D AH0 S +STEWARDESSES S T UW1 ER0 D AH0 S IH0 Z +STEWARDS S T UW1 ER0 D Z +STEWARDSHIP S T UW1 ER0 D SH IH2 P +STEWART S T UW1 ER0 T +STEWART'S S T UW1 ER0 T S +STEWED S T UW1 D +STEWING S T UW1 IH0 NG +STEWS S T UW1 Z +STEYER S T EY1 ER0 +STIBEL S T IH1 B AH0 L +STICE S T AY1 S +STICH S T IH1 CH +STICHA S T IH1 CH AH0 +STICHNOTH S T IH1 K N AA2 TH +STICHT S T IH1 K T +STICHTER S T IH1 K T ER0 +STICK S T IH1 K +STICKA S T IH1 K AH0 +STICKBALL S T IH1 K B AO2 L +STICKEL S T IH1 K AH0 L +STICKELS S T IH1 K AH0 L Z +STICKER S T IH1 K ER0 +STICKERS S T IH1 K ER0 Z +STICKIER S T IH1 K IY0 ER0 +STICKIEST S T IH1 K IY0 AH0 S T +STICKING S T IH1 K IH0 NG +STICKLAND S T IH1 K L AH0 N D +STICKLE S T IH1 K AH0 L +STICKLER S T IH1 K AH0 L ER0 +STICKLER(2) S T IH1 K L ER0 +STICKLES S T IH1 K AH0 L Z +STICKLEY S T IH1 K L IY0 +STICKNEY S T IH1 K N IY0 +STICKS S T IH1 K S +STICKTIGHT S T IH1 K T AY2 T +STICKTIGHTS S T IH1 K T AY2 T S +STICKY S T IH1 K IY0 +STIDD S T IH1 D +STIDHAM S T IH1 D HH AH0 M +STIEBEL S T IY1 B AH0 L +STIEBER S T IY1 B ER0 +STIEF S T IY1 F +STIEFEL S T IY1 F AH0 L +STIEFELHAGEN S T IY1 F AH0 L HH EY2 G AH0 N +STIEFELHAGEN(2) S T AY1 F AH0 L HH EY2 G AH0 N +STIEFVATER S T IY1 F V AH0 T ER0 +STIEG S T IY1 G +STIEGEMEIER S T IY1 JH AH0 M AY2 R +STIEGLER S T IY1 G L ER0 +STIEGLITZ S T IY1 G L IH0 T S +STIEHL S T IY1 L +STIENS S T IY1 N Z +STIER S T AY1 ER0 +STIERS S T AY1 ER0 Z +STIERWALT S T IH1 R W AH0 L T +STIEVE S T IY1 V +STIFEL S T IH1 F AH0 L +STIFF S T IH1 F +STIFFED S T IH1 F T +STIFFEL S T IH1 F AH0 L +STIFFEN S T IH1 F AH0 N +STIFFENED S T IH1 F AH0 N D +STIFFENER S T IH1 F AH0 N ER0 +STIFFENING S T IH1 F AH0 N IH0 NG +STIFFENING(2) S T IH1 F N IH0 NG +STIFFENS S T IH1 F AH0 N Z +STIFFER S T IH1 F ER0 +STIFFEST S T IH1 F AH0 S T +STIFFLER S T IH1 F L ER0 +STIFFLY S T IH1 F L IY0 +STIFFNESS S T IH1 F N AH0 S +STIFFS S T IH1 F S +STIFLE S T AY1 F AH0 L +STIFLED S T AY1 F AH0 L D +STIFLER S T AY1 F L ER0 +STIFLES S T AY1 F AH0 L Z +STIFLING S T AY1 F L IH0 NG +STIFLING(2) S T AY1 F AH0 L IH0 NG +STIFTER S T IH1 F T ER0 +STIG S T IH1 G +STIGALL S T IH1 G AH0 L +STIGER S T AY1 G ER0 +STIGERS S T AY1 G ER0 Z +STIGLER S T IH1 G L ER0 +STIGLITZ S T IH1 G L IH0 T S +STIGMA S T IH1 G M AH0 +STIGMATA S T IH0 G M AA1 T AH0 +STIGMATISM S T IH1 G M AH0 T IH2 Z AH0 M +STIGMATIZE S T IH1 G M AH0 T AY2 Z +STIGMATIZED S T IH1 G M AH0 T AY2 Z D +STIGMATIZING S T IH1 G M AH0 T AY2 Z IH0 NG +STIHL S T IH1 L +STIKA S T IH1 K AH0 +STIKELEATHER S T IH1 K IH0 L EH0 DH ER0 +STIKELEATHER(2) S T IH1 K L EH0 DH ER0 +STIKELEATHER(3) S T AY1 K L EH0 DH ER0 +STIL S T IH1 L +STILE S T AY1 L +STILES S T AY1 L Z +STILETTO S T AH0 L EH1 T OW0 +STILETTOS S T AH0 L EH1 T OW0 Z +STILL S T IH1 L +STILLBORN S T IH1 L B AO1 R N +STILLE S T IH1 L +STILLED S T IH1 L D +STILLER S T IH1 L ER0 +STILLER'S S T IH1 L ER0 Z +STILLEY S T IH1 L IY0 +STILLINGER S T IH1 L IH0 NG ER0 +STILLINGS S T IH1 L IH0 NG Z +STILLION S T IH1 L Y AH0 N +STILLMAN S T IH1 L M AH0 N +STILLNESS S T IH1 L N AH0 S +STILLS S T IH1 L Z +STILLSON S T IH1 L S AH0 N +STILLWAGON S T IH1 L W AE2 G AH0 N +STILLWATER S T IH1 L W AO2 T ER0 +STILLWELL S T IH1 L W EH2 L +STILLWELL'S S T IH1 L W EH2 L Z +STILS S T IH1 L Z +STILSON S T IH1 L S AH0 N +STILT S T IH1 L T +STILTED S T IH1 L T IH0 D +STILTNER S T IH1 L T N ER0 +STILTS S T IH1 L T S +STILWELL S T IH1 L W EH2 L +STIMAC S T IH1 M AH0 K +STIMMEL S T IH1 M AH0 L +STIMPERT S T IH1 M P ER0 T +STIMPSON S T IH1 M P S AH0 N +STIMPY S T IH1 M P IY0 +STIMSON S T IH1 M S AH0 N +STIMULANT S T IH1 M Y AH0 L AH0 N T +STIMULANTS S T IH1 M Y AH0 L AH0 N T S +STIMULATE S T IH1 M Y AH0 L EY2 T +STIMULATED S T IH1 M Y AH0 L EY2 T IH0 D +STIMULATES S T IH1 M Y AH0 L EY2 T S +STIMULATING S T IH1 M Y AH0 L EY2 T IH0 NG +STIMULATION S T IH2 M Y AH0 L EY1 SH AH0 N +STIMULATIVE S T IH1 M Y AH0 L EY2 T IH0 V +STIMULATOR S T IH1 M Y AH0 L EY2 T ER0 +STIMULATORS S T IH1 M Y AH0 L EY2 T ER0 Z +STIMULI S T IH1 M Y AH0 L AY2 +STIMULUS S T IH1 M Y AH0 L AH0 S +STINAR S T AY1 N AA0 R +STINCHCOMB S T IH1 N CH K AH0 M +STINCHFIELD S T IH1 N CH F IY0 L D +STINE S T AY1 N +STINEBAUGH S T IH1 N IH0 B AO0 +STINEL S T IH1 N AH0 L +STINEL(2) S T IH2 N EH1 L +STINEL'S S T IH1 N AH0 L Z +STINEL'S(2) S T IH2 N EH1 L Z +STINEMAN S T AY1 N M AH0 N +STINER S T AY1 N ER0 +STINES S T AY1 N Z +STING S T IH1 NG +STING'S S T IH1 NG Z +STINGER S T IH1 NG ER0 +STINGERS S T IH1 NG ER0 Z +STINGIER S T IH1 N JH IY0 ER0 +STINGINESS S T IH1 N JH IY0 N IH0 S +STINGING S T IH1 NG IH0 NG +STINGLEY S T IH1 NG G L IY0 +STINGS S T IH1 NG Z +STINGY S T IH1 N JH IY0 +STINK S T IH1 NG K +STINKBUG S T IH1 NG K B AH0 G +STINKBUGS S T IH1 NG K B AH0 G Z +STINKERS S T IH1 NG K ER0 Z +STINKING S T IH1 NG K IH0 NG +STINKS S T IH1 NG K S +STINKY S T IH1 NG K IY0 +STINNETT S T IH1 N IH0 T +STINNETTE S T IH0 N EH1 T +STINSON S T IH1 N S AH0 N +STINT S T IH1 N T +STINTS S T IH1 N T S +STIPANOVICH S T IH0 P AE1 N AH0 V IH0 CH +STIPE S T AY1 P +STIPEND S T AY1 P AH0 N D +STIPENDS S T AY1 P AH0 N D Z +STIPES S T AY1 P S +STIPP S T IH1 P +STIPULATE S T IH1 P Y AH0 L EY2 T +STIPULATED S T IH1 P Y AH0 L EY2 T IH0 D +STIPULATES S T IH1 P Y AH0 L EY2 T S +STIPULATING S T IH1 P Y AH0 L EY2 T IH0 NG +STIPULATION S T IH2 P Y AH0 L EY1 SH AH0 N +STIPULATIONS S T IH2 P Y AH0 L EY1 SH AH0 N Z +STIR S T ER1 +STIRES S T AY1 R Z +STIREWALT S T ER1 W AA2 L T +STIRLING S T ER1 L IH0 NG +STIRLING'S S T ER1 L IH0 NG Z +STIRN S T ER1 N +STIRRED S T ER1 D +STIRRING S T ER1 IH0 NG +STIRRINGS S T ER1 IH0 NG Z +STIRRUP S T ER1 AH0 P +STIRRUPS S T ER1 AH0 P S +STIRS S T ER1 Z +STITCH S T IH1 CH +STITCHED S T IH1 CH T +STITCHES S T IH1 CH IH0 Z +STITCHING S T IH1 CH IH0 NG +STITELER S T AY1 T L ER0 +STITELY S T AY1 T L IY0 +STITES S T AY1 T S +STITH S T IH1 TH +STITT S T IH1 T +STITZ S T IH1 T S +STITZEL S T IH1 T Z AH0 L +STITZER S T IH1 T Z ER0 +STIVER S T AY1 V ER0 +STIVERS S T AY1 V ER0 Z +STIVERSON S T IH1 V ER0 S AH0 N +STIVORIC S T IH0 V AO1 R IH0 K +STJOHN S EY1 N T JH AA1 N +STOBAUGH S T AA1 B AO0 +STOBBE S T AA1 B +STOBER S T OW1 B ER0 +STOBIE S T AA1 B IY0 +STOCHASTIC S T OW0 K AE1 S T IH0 K +STOCHASTICALLY S T OW0 K AE1 S T IH0 K AH0 L IY2 +STOCHASTICS S T OW0 K AE1 S T IH0 K S +STOCK S T AA1 K +STOCK'S S T AA1 K S +STOCKADE S T AA1 K EY2 D +STOCKADE'S S T AA1 K EY2 D Z +STOCKADES S T AA1 K EY2 D Z +STOCKARD S T AA1 K ER0 D +STOCKBRIDGE S T AA1 K B R IH0 JH +STOCKBROKER S T AA1 K B R OW2 K ER0 +STOCKBROKER'S S T AA1 K B R OW2 K ER0 Z +STOCKBROKERAGE S T AA1 K B R OW2 K ER0 IH0 JH +STOCKBROKERAGES S T AA1 K B R OW2 K ER0 IH0 JH IH0 Z +STOCKBROKERS S T AA1 K B R OW2 K ER0 Z +STOCKBROKERS' S T AA1 K B R OW2 K ER0 Z +STOCKBROKING S T AA1 K B R OW2 K IH0 NG +STOCKBURGER S T AA1 K B ER0 G ER0 +STOCKDALE S T AA1 K D EY2 L +STOCKDALE'S S T AA1 K D EY2 L Z +STOCKE S T AA1 K +STOCKED S T AA1 K T +STOCKEL S T AA1 K AH0 L +STOCKER S T AA1 K ER0 +STOCKERT S T AA1 K ER0 T +STOCKETT S T AA1 K IH0 T +STOCKFORD S T AA1 K F ER0 D +STOCKHAM S T AA1 K HH AH0 M +STOCKHAUSEN S T AA1 K HH AW2 Z AH0 N +STOCKHOLDER S T AA1 K HH OW2 L D ER0 +STOCKHOLDERS S T AA1 K HH OW2 L D ER0 Z +STOCKHOLDERS' S T AA1 K HH OW2 L D ER0 Z +STOCKHOLDING S T AA1 K HH OW2 L D IH0 NG +STOCKHOLDINGS S T AA1 K HH OW2 L D IH0 NG Z +STOCKHOLM S T AA1 K HH OW2 L M +STOCKHOLM'S S T AA1 K HH OW2 L M Z +STOCKING S T AA1 K IH0 NG +STOCKINGER S T AA1 K IH0 NG ER0 +STOCKINGS S T AA1 K IH0 NG Z +STOCKLEY S T AA1 K L IY0 +STOCKMAN S T AA1 K M AH0 N +STOCKMAN'S S T AA1 K M AE2 N Z +STOCKMARKET S T AA1 K M AA2 R K IH0 T +STOCKPILE S T AA1 K P AY2 L +STOCKPILED S T AA1 K P AY2 L D +STOCKPILES S T AA1 K P AY2 L Z +STOCKPILING S T AA1 K P AY2 L IH0 NG +STOCKROOM S T AA1 K R UW2 M +STOCKS S T AA1 K S +STOCKS' S T AA1 K S +STOCKSDALE S T AA1 K S D EY2 L +STOCKSLAGER S T AA1 K S L EY0 G ER0 +STOCKSTILL S T AA1 K S T IH2 L +STOCKTON S T AA1 K T AH0 N +STOCKWELL S T AA1 K W EH2 L +STOCKY S T AA1 K IY0 +STOCKYARD S T AA1 K Y AA2 R D +STOCKYARDS S T AA1 K Y AA2 R D Z +STOCUM S T OW1 K AH0 M +STODDARD S T AA1 D ER0 D +STODDARD'S S T AA1 D ER0 D Z +STODGHILL S T AA1 JH HH IH2 L +STODGY S T AA1 JH IY0 +STODOLA S T OW0 D OW1 L AA2 +STODOLSKY S T AH0 D AO1 L S K IY2 +STOEBER S T OW1 B ER0 +STOECKEL S T OW1 K AH0 L +STOECKER S T OW1 K ER0 +STOECKLE S T OW1 K AH0 L +STOECKLEIN S T OW1 K L AY2 N +STOEGER S T OW1 G ER0 +STOEHR S T AO1 R +STOELTING S T OW1 L T IH0 NG +STOELTZE S T OW1 L T S +STOERMER S T AO1 R M ER0 +STOESSEL S T OW1 S AH0 L +STOEVER S T AA1 EH0 V ER0 +STOFER S T OW1 F ER0 +STOFF S T AO1 F +STOFFEL S T AA1 F AH0 L +STOFFELS S T AA1 F AH0 L Z +STOFFER S T AO1 F ER0 +STOFFERS S T AO1 F ER0 Z +STOFFREGEN S T AA1 F R IH0 G AH0 N +STOFKO S T OW1 F K OW2 +STOGA S T OW1 G AH0 +STOGDILL S T AA1 G D IH0 L +STOGIE S T OW1 G IY2 +STOGIES S T OW1 G IY2 Z +STOGNER S T AA1 G N ER0 +STOGSDILL S T AA1 G Z D IH0 L +STOHL S T OW1 L +STOHLER S T OW1 L ER0 +STOHR S T AO1 R +STOIA S T OW1 Y AA2 +STOIBER S T OY1 B ER0 +STOIC S T OW1 IH0 K +STOICALLY S T OW1 IH0 K L IY0 +STOICISM S T OW1 AH0 S IH2 Z AH0 M +STOICS S T OW1 IH0 K S +STOKE S T OW1 K +STOKED S T OW1 K T +STOKELY S T OW1 K L IY0 +STOKER S T OW1 K ER0 +STOKERS S T OW1 K ER0 Z +STOKES S T OW1 K S +STOKING S T OW1 K IH0 NG +STOKKE S T AA1 K +STOKLEY S T AA1 K L IY0 +STOKLOSA S T AH0 K L OW1 S AA2 +STOL S T OW1 L +STOLAR S T OW1 L ER0 +STOLARSKI S T AH0 L AA1 R S K IY2 +STOLARZ S T OW1 L AA0 R Z +STOLBERG S T OW1 L B ER0 G +STOLDT S T OW1 L T +STOLE S T OW1 L +STOLEN S T OW1 L AH0 N +STOLER S T OW1 L ER0 +STOLFI S T OW1 L F IY0 +STOLICHNAYA S T OW2 L IH0 K N AY1 AH0 +STOLID S T AA1 L AH0 D +STOLL S T OW1 L +STOLLAR S T AA1 L ER0 +STOLLE S T AA1 L +STOLLEN S T AA1 L AH0 N +STOLLER S T OW1 L ER0 +STOLLEY S T AA1 L IY0 +STOLLINGS S T OW1 L IH0 NG Z +STOLP S T OW1 L P +STOLPE S T OW1 L P +STOLPER S T OW1 L P ER0 +STOLT S T OW1 L T +STOLTE S T OW1 L T +STOLTENBERG S T OW1 L T AH0 N B ER0 G +STOLTMAN S T OW1 L T M AH0 N +STOLTZ S T OW1 L T S +STOLTZFUS S T OW1 L T S F AH0 S +STOLTZMAN S T OW1 L T S M AH0 N +STOLZ S T OW1 L Z +STOLZE S T OW1 L Z +STOMA S T OW1 M AH0 +STOMACH S T AH1 M AH0 K +STOMACHS S T AH1 M AH0 K S +STOMATA S T OW1 M AH0 T AH0 +STOMBAUGH S T AA1 M B AO2 +STOMP S T AA1 M P +STOMPED S T AA1 M P T +STOMPING S T AA1 M P IH0 NG +STONE S T OW1 N +STONE'S S T OW1 N Z +STONEBACK S T OW1 N B AE2 K +STONEBERG S T OW1 N B ER0 G +STONEBERGER S T OW1 N B ER0 G ER0 +STONEBRAKER S T AA1 N IH0 B R AH0 K ER0 +STONEBRAKER(2) S T OW1 N B R EY0 K ER0 +STONEBURNER S T OW1 N B ER2 N ER0 +STONECIPHER S T OW1 N S AY2 F ER0 +STONECUTTER S T OW1 N K AH2 T ER0 +STONECUTTERS S T OW1 N K AH2 T ER0 Z +STONECYPHER S T AA1 N IH0 S IH0 F ER0 +STONECYPHER(2) S T OW1 N S AY0 F ER0 +STONED S T OW1 N D +STONEHAM S T OW1 N AH0 M +STONEHENGE S T OW1 N HH EH2 N JH +STONEHILL S T OW1 N HH IH2 L +STONEHOCKER S T OW1 N HH AA2 K ER0 +STONEHOUSE S T OW1 N HH AW2 S +STONEKING S T OW1 N K IH2 NG +STONEMAN S T OW1 N M AH0 N +STONER S T OW1 N ER0 +STONERIDGE S T OW1 N R IH2 JH +STONEROCK S T OW1 N R AA2 K +STONES S T OW1 N Z +STONES' S T OW1 N Z +STONESIFER S T OW1 N S AY2 F ER0 +STONESTREET S T OW1 N S T R IY2 T +STONEWALL S T OW1 N W AO2 L +STONEWALLED S T OW1 N W AO2 L D +STONEWALLING S T OW1 N W AO2 L IH0 NG +STONEWARE S T OW1 N W EH2 R +STONEY S T OW1 N IY0 +STONG S T AO1 NG +STONGE S T AA1 N JH +STONING S T OW1 N IH0 NG +STONY S T OW1 N IY0 +STONYFIELD S T OW1 N IY0 F IY2 L D +STOOD S T UH1 D +STOOGE S T UW1 JH +STOOGES S T UW1 JH IH0 Z +STOOKEY S T UW1 K IY0 +STOOKSBURY S T UW1 K S B EH0 R IY0 +STOOL S T UW1 L +STOOLS S T UW1 L Z +STOOP S T UW1 P +STOOPED S T UW1 P T +STOOPING S T UW1 P IH0 NG +STOOPS S T UW1 P S +STOOTS S T UW1 T S +STOP S T AA1 P +STOP-GAP S T AA1 P G AE2 P +STOPA S T OW1 P AH0 +STOPGAP S T AA1 P G AE2 P +STOPHER S T AA1 F ER0 +STOPKA S T OW1 P K AH0 +STOPLIGHT S T AA1 P L AY2 T +STOPLIGHTS S T AA1 P L AY2 T S +STOPOVER S T AA1 P OW2 V ER0 +STOPOVERS S T AA1 P OW2 V ER0 Z +STOPPAGE S T AA1 P IH0 JH +STOPPAGES S T AA1 P IH0 JH IH0 Z +STOPPED S T AA1 P T +STOPPEL S T AA1 P AH0 L +STOPPER S T AA1 P ER0 +STOPPERS S T AA1 P ER0 Z +STOPPING S T AA1 P IH0 NG +STOPS S T AA1 P S +STOPWATCH S T AA1 P W AA2 CH +STOPWATCHES S T AA1 P W AA2 CH IH0 Z +STORA S T AO1 R AH0 +STORA'S S T AO1 R AH0 Z +STORAGE S T AO1 R AH0 JH +STORAGE(2) S T AO1 R IH0 JH +STORAGETEK S T AO1 R AH0 JH T EH2 K +STORASKA S T AO2 R AE1 S AH0 +STORBECK S T AO1 R B EH0 K +STORCH S T AO1 R K +STORCK S T AO1 R K +STORDAHL S T AO1 R D AA0 L +STORE S T AO1 R +STORE'S S T AO1 R Z +STORED S T AO1 R D +STOREFRONT S T AO1 R F R AA2 N T +STOREFRONTS S T AO1 R F R AA2 N T S +STOREHOUSE S T AO1 R HH AW2 S +STOREHOUSE'S S T AO1 R HH AW2 S IH0 Z +STOREHOUSES S T AO1 R HH AW2 Z AH0 Z +STOREKEEPER S T AO1 R K IY2 P ER0 +STOREKEEPERS S T AO1 R K IY2 P ER0 Z +STORER S T AO1 R ER0 +STORER'S S T AO1 R ER0 Z +STOREROOM S T AO1 R R UW2 M +STORES S T AO1 R Z +STORES' S T AO1 R Z +STOREY S T AO1 R IY0 +STORFER S T AO1 R F ER0 +STORIE S T AO1 R IY0 +STORIED S T AO1 R IY0 D +STORIES S T AO1 R IY0 Z +STORING S T AO1 R IH0 NG +STORK S T AO1 R K +STORLIE S T AO1 R L IY0 +STORM S T AO1 R M +STORM'S S T AO1 R M Z +STORMED S T AO1 R M D +STORMENT S T AO1 R M AH0 N T +STORMER S T AO1 R M ER0 +STORMES S T AO1 R M Z +STORMIEST S T AO1 R M IY0 IH0 S T +STORMINESS S T AO1 R M IY0 N IH0 S +STORMING S T AO1 R M IH0 NG +STORMONT S T AO1 R M OW0 N T +STORMS S T AO1 R M Z +STORMY S T AO1 R M IY0 +STORR S T AO1 R +STORROW S T AA1 R OW0 +STORRS S T AO1 R Z +STORTI S T AO1 R T IY0 +STORTING S T AO1 R T IH0 NG +STORTS S T AO1 R T S +STORTZ S T AO1 R T S +STORY S T AO1 R IY0 +STORY'S S T AO1 R IY0 Z +STORYBOARD S T AO1 R IY0 B AO2 R D +STORYBOOK S T AO1 R IY0 B UH2 K +STORYBOOKS S T AO1 R IY0 B UH2 K S +STORYLINE S T AO1 R IY0 L AY2 N +STORYLINES S T AO1 R IY0 L AY2 N Z +STORYTELLER S T AO1 R IY0 T EH2 L ER0 +STORYTELLERS S T AO1 R IY0 T EH2 L ER0 Z +STORYTELLING S T AO1 R IY0 T EH2 L IH0 NG +STORZ S T AO1 R Z +STOSSEL S T AA1 S AH0 L +STOSSEL'S S T AA1 S AH0 L Z +STOTLER S T AA1 T L ER0 +STOTT S T AA1 T +STOTTLEMYER S T AA1 T AH0 L M AY0 ER0 +STOTTS S T AA1 T S +STOTZ S T AA1 T S +STOUDEMIRE S T UW1 D AH0 M AY2 R +STOUDENMIRE S T UW1 D AH0 N M AY2 R +STOUDER S T AH1 D ER0 +STOUDT S T AH1 D T +STOUFFER S T AH1 F ER0 +STOUFFER(2) S T OW1 F ER0 +STOUFFS S T AH1 F S +STOUFFS(2) S T OW1 F S +STOUGH S T AH1 F +STOUGHTON S T OW1 T AH0 N +STOUP S T UW1 P +STOUT S T AW1 T +STOUTE S T AW1 T +STOUTENBURG S T AW1 T AH0 N B ER0 G +STOUTLY S T AW1 T L IY0 +STOUTNESS S T AW1 T N AH0 S +STOVALL S T OW1 V AA0 L +STOVE S T OW1 V +STOVER S T OW1 V ER0 +STOVES S T OW1 V Z +STOW S T OW1 +STOWAWAY S T OW1 AH0 W EY2 +STOWAWAY'S S T OW1 AH0 W EY2 Z +STOWAWAYS S T OW1 AH0 W EY2 Z +STOWE S T OW1 +STOWED S T OW1 D +STOWELL S T AA1 W EH0 L +STOWER S T OW1 ER0 +STOWERS S T OW1 ER0 Z +STOWING S T OW1 W IH0 NG +STOY S T OY1 +STOYER S T OY1 ER0 +STRACENER S T R AE1 S IY0 N ER0 +STRACHAN S T R AE1 CH AH0 N +STRACK S T R AE1 K +STRACKE S T R AE1 K +STRADA S T R AA1 D AH0 +STRADDLE S T R AE1 D AH0 L +STRADDLED S T R AE1 D AH0 L D +STRADDLES S T R AE1 D AH0 L Z +STRADDLING S T R AE1 D L IH0 NG +STRADER S T R EY1 D ER0 +STRADFORD S T R AE1 D F ER0 D +STRADIVARIUS S T R AE2 D IH0 V EH1 R IY0 AH0 S +STRADLEY S T R AE1 D L IY0 +STRADLING S T R AE1 D L IH0 NG +STRAFE S T R EY1 F +STRAFING S T R EY1 F IH0 NG +STRAGGLE S T R AE1 G AH0 L +STRAGGLED S T R AE1 G AH0 L D +STRAGGLER S T R AE1 G L ER0 +STRAGGLERS S T R AE1 G L ER0 Z +STRAHAN S T R AE1 HH AH0 N +STRAHL S T R AA1 L +STRAHLE S T R EY1 HH AH0 L +STRAHLER S T R AA1 L ER0 +STRAHM S T R AA1 M +STRAIGHT S T R EY1 T +STRAIGHTAWAY S T R EY1 T AH0 W EY2 +STRAIGHTAWAYS S T R EY1 T AH0 W EY2 Z +STRAIGHTEDGE S T R EY1 T EH2 JH +STRAIGHTEN S T R EY1 T AH0 N +STRAIGHTENED S T R EY1 T AH0 N D +STRAIGHTENING S T R EY1 T AH0 N IH0 NG +STRAIGHTENING(2) S T R EY1 T N IH0 NG +STRAIGHTENS S T R EY1 T AH0 N Z +STRAIGHTER S T R EY1 T ER0 +STRAIGHTFORWARD S T R EY1 T F AO1 R W ER0 D +STRAIGHTFORWARDLY S T R EY2 T F AO1 R W ER0 D L IY0 +STRAIGHTS S T R EY1 T S +STRAIN S T R EY1 N +STRAINED S T R EY1 N D +STRAINING S T R EY1 N IH0 NG +STRAINS S T R EY1 N Z +STRAIT S T R EY1 T +STRAITJACKET S T R EY1 T JH AE2 K AH0 T +STRAITS S T R EY1 T S +STRAKA S T R AA1 K AH0 +STRAKER S T R EY1 K ER0 +STRALEY S T R AE1 L IY0 +STRAM S T R AE1 M +STRANAHAN S T R AE1 N AH0 HH AE0 N +STRAND S T R AE1 N D +STRANDBERG S T R AE1 N D B ER0 G +STRANDE S T R AE1 N D +STRANDED S T R AE1 N D IH0 D +STRANDING S T R AE1 N D IH0 NG +STRANDLINE S T R AE1 N D L AY2 N +STRANDLINE(2) S T R AE1 N L AY2 N +STRANDLINES S T R AE1 N D L AY2 N Z +STRANDLINES(2) S T R AE1 N L AY2 N Z +STRANDS S T R AE1 N D Z +STRANG S T R AE1 NG +STRANGE S T R EY1 N JH +STRANGELOVE S T R EY1 N JH L AH2 V +STRANGELY S T R EY1 N JH L IY0 +STRANGENESS S T R EY1 N JH N AH0 S +STRANGER S T R EY1 N JH ER0 +STRANGER'S S T R EY1 N JH ER0 Z +STRANGERS S T R EY1 N JH ER0 Z +STRANGEST S T R EY1 N JH IH0 S T +STRANGIS S T R AE1 N JH IH0 S +STRANGLE S T R AE1 NG G AH0 L +STRANGLED S T R AE1 NG G AH0 L D +STRANGLEHOLD S T R AE1 NG G AH0 L HH OW2 L D +STRANGLER S T R AE1 NG G L ER0 +STRANGLING S T R AE1 NG G AH0 L IH0 NG +STRANGLING(2) S T R AE1 NG G L IH0 NG +STRANGULATE S T R AE1 NG G Y AH0 L EY2 T +STRANGULATION S T R AE2 NG G Y AH0 L EY1 SH AH0 N +STRANGULATIONS S T R AE2 NG G Y AH0 L EY1 SH AH0 N Z +STRANGWAYES S T R AE1 NG W EY2 Z +STRANO S T R AA1 N OW0 +STRANSKY S T R AE1 N S K IY0 +STRAP S T R AE1 P +STRAPPED S T R AE1 P T +STRAPPING S T R AE1 P IH0 NG +STRAPS S T R AE1 P S +STRASBERG S T R AE1 S B ER0 G +STRASBOURG S T R AE1 S B AO2 R G +STRASBURG S T R AE1 S B ER0 G +STRASBURGER S T R AE1 S B ER0 G ER0 +STRASSBURG S T R AE1 S B ER0 G +STRASSBURGER S T R AE1 S B ER0 G ER0 +STRASSER S T R AE1 S ER0 +STRASSMAN S T R AE1 S M AH0 N +STRASSNER S T R AE1 S N ER0 +STRASZHEIM S T R AE1 S HH AY2 M +STRATA S T R AE1 T AH0 +STRATACOM S T R AE1 T AH0 K AA0 M +STRATAGEM S T R AE1 T AH0 JH AH0 M +STRATAGEMS S T R AE1 T AH0 JH AH0 M Z +STRATAS S T R AE1 T AH0 Z +STRATE S T R EY1 T +STRATEGEM S T R AE1 T IH0 JH EH0 M +STRATEGIC S T R AH0 T IY1 JH IH0 K +STRATEGICAL S T R AH0 T IY1 JH IH0 K AH0 L +STRATEGICALLY S T R AH0 T IY1 JH IH0 K L IY0 +STRATEGIES S T R AE1 T AH0 JH IY0 Z +STRATEGIST S T R AE1 T IH0 JH IH0 S T +STRATEGISTS S T R AE1 T IH0 JH IH0 S T S +STRATEGIZE S T R AE1 T AH0 JH AY0 Z +STRATEGIZING S T R AE1 T AH0 JH AY0 Z IH0 NG +STRATEGY S T R AE1 T AH0 JH IY0 +STRATEGY'S S T R AE1 T AH0 JH IY0 Z +STRATER S T R EY1 T ER0 +STRATFORD S T R AE1 T F ER0 D +STRATHMAN S T R AE1 TH M AH0 N +STRATIFICATION S T R AE2 T AH0 F IH0 K EY1 SH AH0 N +STRATIFIED S T R AE1 T AH0 F AY2 D +STRATIFY S T R AE1 T AH0 F AY2 +STRATIGRAPHIC S T R AE2 T AH0 G R AE1 F IH0 K +STRATMAN S T R AE1 T M AH0 N +STRATMANN S T R AE1 T M AH0 N +STRATOCASTER S T R AE1 T OW0 K AE2 S T ER0 +STRATOFLEX S T R AE1 T OW0 F L EH2 K S +STRATOSPHERE S T R AE1 T AH0 S F IH2 R +STRATOSPHERIC S T R AE2 T AH0 S F IH1 R IH0 K +STRATTON S T R AE1 T AH0 N +STRATUM S T R AE1 T AH0 M +STRATUS S T R AE1 T AH0 S +STRATUS'S S T R AE1 T AH0 S IH0 Z +STRAUB S T R AW1 B +STRAUBE S T R AW1 B +STRAUCH S T R AW1 K +STRAUGHAN S T R AO1 AH0 N +STRAUGHN S T R AO1 N +STRAUGHTER S T R AO1 T ER0 +STRAUM S T R AW1 M +STRAUM(2) S T R AA1 M +STRAUS S T R AW1 S +STRAUSBAUGH S T R AW1 S B AW0 +STRAUSE S T R AW1 S +STRAUSER S T R AW1 S ER0 +STRAUSS S T R AW1 S +STRAUSS'S S T R AW1 S IH0 Z +STRAUSSER S T R AW1 S ER0 +STRAVINSKY S T R AH0 V IH1 N S K IY0 +STRAVINSKY'S S T R AH0 V IH1 N S K IY0 Z +STRAW S T R AO1 +STRAWBERRIES S T R AO1 B EH2 R IY0 Z +STRAWBERRY S T R AO1 B EH2 R IY0 +STRAWBRIDGE S T R AO1 B R IH2 JH +STRAWDER S T R AO1 D ER0 +STRAWDERMAN S T R AO1 D ER0 M AH0 N +STRAWN S T R AO1 N +STRAWS S T R AO1 Z +STRAWSER S T R AO1 Z ER0 +STRAY S T R EY1 +STRAYED S T R EY1 D +STRAYER S T R EY1 ER0 +STRAYHORN S T R EY1 HH ER0 N +STRAYING S T R EY1 IH0 NG +STRAYS S T R EY1 Z +STREAK S T R IY1 K +STREAKED S T R IY1 K T +STREAKER S T R IY1 K ER0 +STREAKING S T R IY1 K IH0 NG +STREAKS S T R IY1 K S +STREAM S T R IY1 M +STREAMED S T R IY1 M D +STREAMER S T R IY1 M ER0 +STREAMERS S T R IY1 M ER0 Z +STREAMING S T R IY1 M IH0 NG +STREAMLINE S T R IY1 M L AY2 N +STREAMLINED S T R IY1 M L AY2 N D +STREAMLINING S T R IY1 M L AY2 N IH0 NG +STREAMS S T R IY1 M Z +STREATER S T R IY1 T ER0 +STREB S T R EH1 B +STREBE S T R IY1 B +STREBECK S T R IY1 B EH0 K +STREBEL S T R EH1 B AH0 L +STRECK S T R EH1 K +STRECKER S T R EH1 K ER0 +STREED S T R IY1 D +STREEP S T R IY1 P +STREEPER S T R IY1 P ER0 +STREET S T R IY1 T +STREET'S S T R IY1 T S +STREETCAR S T R IY1 T K AA2 R +STREETER S T R IY1 T ER0 +STREETERS S T R IY1 T ER0 Z +STREETMAN S T R IY1 T M AH0 N +STREETS S T R IY1 T S +STREETT S T R IY1 T +STREETWISE S T R IY1 T W AY2 Z +STREETY S T R IY1 T IY0 +STREFF S T R EH1 F +STREGE S T R IY1 JH +STREHL S T R EH1 L +STREHLE S T R EH1 L +STREHLOW S T R EH1 L OW0 +STREIB S T R AY1 B +STREIBER S T R AY1 B ER0 +STREICH S T R AY1 K +STREICHER S T R AY1 K ER0 +STREIFF S T R AY1 F +STREIGHT S T R EY1 T +STREIKER S T R AY1 K ER0 +STREISAND S T R AY1 Z AH0 N D +STREISAND(2) S T R AY1 S AE2 N D +STREISAND'S S T R AY1 Z AH0 N D Z +STREISAND'S(2) S T R AY1 S AE2 N D Z +STREIT S T R AY1 T +STREITMATTER S T R AY1 T M AH0 T ER0 +STRELOW S T R EH1 L OW0 +STRENG S T R EH1 NG +STRENGER S T R EH1 NG G ER0 +STRENGTH S T R EH1 NG K TH +STRENGTH(2) S T R EH1 NG TH +STRENGTHEN S T R EH1 NG TH AH0 N +STRENGTHENED S T R EH1 NG TH AH0 N D +STRENGTHENING S T R EH1 NG TH AH0 N IH0 NG +STRENGTHENS S T R EH1 NG TH AH0 N Z +STRENGTHS S T R EH1 NG K TH S +STRENGTHS(2) S T R EH1 NG TH S +STRENIO S T R IY1 N IY0 OW0 +STRENUOUS S T R EH1 N Y UW0 AH0 S +STRENUOUSLY S T R EH1 N Y UW0 AH0 S L IY0 +STREP S T R EH1 P +STREPS S T R EH1 P S +STREPTOCOCCUS S T R EH2 P T AH0 K AO1 K AH0 S +STREPTOKINASE S T R EH2 P T AH0 K AY1 N EY2 S +STREPTOKINASE(2) S T R EH2 P T OW0 K AY1 N EY2 Z +STRESS S T R EH1 S +STRESSED S T R EH1 S T +STRESSES S T R EH1 S AH0 Z +STRESSES(2) S T R EH1 S IH0 Z +STRESSFUL S T R EH1 S F AH0 L +STRESSING S T R EH1 S IH0 NG +STRESSOR S T R EH1 S ER0 +STRESSORS S T R EH1 S ER0 Z +STRETCH S T R EH1 CH +STRETCHED S T R EH1 CH T +STRETCHER S T R EH1 CH ER0 +STRETCHER-BEARER S T R EH1 CH ER0 B EH1 R ER0 +STRETCHER-BEARERS S T R EH1 CH ER0 B EH1 R ER0 Z +STRETCHERS S T R EH1 CH ER0 Z +STRETCHES S T R EH1 CH AH0 Z +STRETCHES(2) S T R EH1 CH IH0 Z +STRETCHING S T R EH1 CH IH0 NG +STRETTO S T R EH1 T OW2 +STREVIG S T R EH1 V IH0 G +STREW S T R UW1 +STREWN S T R UW1 N +STREY S T R EY1 +STRIAR S T R AY1 R +STRIBLING S T ER1 AH0 B AH0 L IH0 NG +STRIBLING(2) S T R IH1 B L IH0 NG +STRICK S T R IH1 K +STRICKEN S T R IH1 K AH0 N +STRICKER S T R IH1 K ER0 +STRICKLAND S T R IH1 K L AH0 N D +STRICKLEN S T R IH1 K AH0 L AH0 N +STRICKLER S T R IH1 K L ER0 +STRICKLIN S T R IH1 K L IH0 N +STRICKLING S T R IH1 K L IH0 NG +STRICT S T R IH1 K T +STRICTER S T R IH1 K T ER0 +STRICTEST S T R IH1 K T AH0 S T +STRICTLY S T R IH1 K T L IY0 +STRICTURE S T R IH1 K CH ER0 +STRICTURES S T R IH1 K CH ER0 Z +STRIDE S T R AY1 D +STRIDENCY S T R AY1 D AH0 N S IY0 +STRIDENT S T R AY1 D AH0 N T +STRIDENTLY S T R AY1 D AH0 N T L IY0 +STRIDER S T R AY1 D ER0 +STRIDES S T R AY1 D Z +STRIDING S T R AY1 D IH0 NG +STRIEBER S T R AY1 B ER0 +STRIEGEL S T R IY1 G AH0 L +STRIEKER S T R IY1 K ER0 +STRIEKER'S S T R IY1 K ER0 Z +STRIETER S T R IY1 T ER0 +STRIFE S T R AY1 F +STRIFES S T R AY1 F S +STRIKE S T R AY1 K +STRIKE'S S T R AY1 K S +STRIKEBREAKER S T R AY1 K B R EY2 K ER0 +STRIKEBREAKERS S T R AY1 K B R EY2 K ER0 Z +STRIKEOUT S T R AY1 K AW2 T +STRIKEOUTS S T R AY1 K AW2 T S +STRIKER S T R AY1 K ER0 +STRIKER'S S T R AY1 K ER0 Z +STRIKERS S T R AY1 K ER0 Z +STRIKERS' S T R AY1 K ER0 Z +STRIKES S T R AY1 K S +STRIKES' S T R AY1 K S +STRIKING S T R AY1 K IH0 NG +STRIKINGLY S T R AY1 K IH0 NG L IY0 +STRIMPLE S T R IH1 M P AH0 L +STRINDEN S T R IH1 N D AH0 N +STRINE S T R AY1 N +STRING S T R IH1 NG +STRINGED S T R IH1 NG D +STRINGENCY S T R IH1 N JH AH0 N S IY0 +STRINGENT S T R IH1 N JH AH0 N T +STRINGENTLY S T R IH1 N JH AH0 N T L IY0 +STRINGER S T R IH1 NG ER0 +STRINGERS S T R IH1 NG ER0 Z +STRINGFELLOW S T R IH1 NG F EH2 L OW0 +STRINGFIELD S T R IH1 NG F IY2 L D +STRINGHAM S T R IH1 NG HH AE2 M +STRINGING S T R IH1 NG IH0 NG +STRINGS S T R IH1 NG Z +STRINGY S T R IH1 NG IY0 +STRIP S T R IH1 P +STRIP'S S T R IH1 P S +STRIPE S T R AY1 P +STRIPED S T R AY1 P T +STRIPER S T R AY1 P ER0 +STRIPERS S T R AY1 P ER0 Z +STRIPES S T R AY1 P S +STRIPLIN S T R IH1 P L IH0 N +STRIPLING S T R IH1 P L IH0 NG +STRIPPED S T R IH1 P T +STRIPPER S T R IH1 P ER0 +STRIPPERS S T R IH1 P ER0 Z +STRIPPING S T R IH1 P IH0 NG +STRIPS S T R IH1 P S +STRIPTEASE S T R IH1 P T IY2 Z +STRITE S T R AY1 T +STRITTMATTER S T R IH1 T M AH0 T ER0 +STRIVE S T R AY1 V +STRIVEN S T R IH1 V AH0 N +STRIVES S T R AY1 V Z +STRIVING S T R AY1 V IH0 NG +STRIVINGS S T R AY1 V IH0 NG Z +STRNAD S T ER1 N AE0 D +STROBE S T R OW1 B +STROBEL S T R OW1 B AH0 L +STROBEL'S S T R OW1 B AH0 L Z +STROBER S T R OW1 B ER0 +STROBL S T R AA1 B AH0 L +STROBLE S T R OW1 B AH0 L +STROBRIDGE S T R AA1 B R IH0 JH +STROCK S T R AA1 K +STRODE S T R OW1 D +STRODER S T R OW1 D ER0 +STROEBEL S T R OW1 B AH0 L +STROESSNER S T R OW1 S N ER0 +STROGANOFF S T R OW1 G AH0 N AO2 F +STROH S T R OW1 +STROHECKER S T R OW1 IH0 K ER0 +STROHL S T R OW1 L +STROHM S T R OW1 M +STROHMAIER S T R OW1 M AY0 ER0 +STROHMAN S T R OW1 M AH0 N +STROHMEIER S T R OW1 M AY0 ER0 +STROHMEYER S T R OW1 M AY0 ER0 +STROIK S T R OY1 K +STROJNY S T R OW1 Y N IY0 +STROKE S T R OW1 K +STROKED S T R OW1 K T +STROKES S T R OW1 K S +STROKING S T R OW1 K IH0 NG +STROLE S T R OW1 L +STROLL S T R OW1 L +STROLLED S T R OW1 L D +STROLLER S T R OW1 L ER0 +STROLLERS S T R OW1 L ER0 Z +STROLLING S T R OW1 L IH0 NG +STROLLO S T R AA1 L OW0 +STROLLS S T R OW1 L Z +STROM S T R AA1 M +STROMA S T R OW1 M AH0 +STROMAIN S T R AA1 M AY0 N +STROMAN S T R OW1 M AH0 N +STROMBECK S T R AA1 M B EH2 K +STROMBERG S T R AA1 M B ER0 G +STROMBOLI S T R AA2 M B OW1 L IY0 +STROMBOLI'S S T R AA2 M B OW1 L IY0 Z +STROME S T R OW1 M +STROMER S T R OW1 M ER0 +STROMGREN S T R AA1 M G R EH0 N +STROMME S T R AA1 M +STROMMEN S T R AA1 M AH0 N +STROMQUIST S T R AA1 M K W IH2 S T +STRONACH S T R AA1 N AH0 K +STRONG S T R AO1 NG +STRONGER S T R AO1 NG ER0 +STRONGER(2) S T R AO1 NG G ER0 +STRONGEST S T R AO1 NG G AH0 S T +STRONGHOLD S T R AO1 NG HH OW2 L D +STRONGHOLDS S T R AO1 NG HH OW2 L D Z +STRONGLY S T R AO1 NG L IY0 +STRONGMAN S T R AO1 NG M AE2 N +STRONTIUM S T R AA1 N T IY0 AH0 M +STROOCK S T R UH1 K +STROOP S T R UW1 P +STROOPE S T R UW1 P +STROOT S T R UW1 T +STROPE S T R OW1 P +STROSCHEIN S T R AO1 SH AY0 N +STROSNIDER S T R AA1 S N AY0 D ER0 +STROSSEN S T R AO1 S EH0 N +STROSSEN(2) S T R AO1 S IH0 N +STROTHER S T R AA1 DH ER0 +STROTHERS S T R AH1 DH ER0 Z +STROTHMAN S T R AA1 TH M AH0 N +STROUD S T R AW1 D +STROUGH S T R AW1 +STROUP S T R UW1 P +STROUPE S T R UW1 P +STROUSE S T R AW1 S +STROUT S T R AW1 T +STROUTH S T R AW1 TH +STROVE S T R OW1 V +STROW S T R OW1 +STROZIER S T R OW1 Z IY0 ER0 +STRUB S T R AH1 B +STRUBBE S T R AH1 B +STRUBE S T R UW1 B +STRUBEL S T R UW1 B AH0 L +STRUBLE S T R UW1 B AH0 L +STRUCHEN S T R AH1 K AH0 N +STRUCK S T R AH1 K +STRUCKMAN S T R AH1 K M AH0 N +STRUCTURAL S T R AH1 K CH ER0 AH0 L +STRUCTURALLY S T R AH1 K CH ER0 AH0 L IY0 +STRUCTURE S T R AH1 K CH ER0 +STRUCTURE'S S T R AH1 K CH ER0 Z +STRUCTURED S T R AH1 K CH ER0 D +STRUCTURES S T R AH1 K CH ER0 Z +STRUCTURING S T R AH1 K CH ER0 IH0 NG +STRUEBING S T R UH1 B IH0 NG +STRUGGLE S T R AH1 G AH0 L +STRUGGLE'S S T R AH1 G AH0 L Z +STRUGGLED S T R AH1 G AH0 L D +STRUGGLES S T R AH1 G AH0 L Z +STRUGGLING S T R AH1 G AH0 L IH0 NG +STRUGGLING(2) S T R AH1 G L IH0 NG +STRUM S T R AH1 M +STRUMMING S T R AH1 M IH0 NG +STRUMS S T R AH1 M Z +STRUNG S T R AH1 NG +STRUNK S T R AH1 NG K +STRUNK'S S T R AH1 NG K S +STRUPP S T R AH1 P +STRUSS S T R AH1 S +STRUT S T R AH1 T +STRUTHERS S T R AH1 DH ER0 Z +STRUTS S T R AH1 T S +STRUTTING S T R AH1 T IH0 NG +STRUTTON S T R AH1 T AH0 N +STRUTZ S T R AH1 T S +STRUVE S T R UW1 V +STRYCHARZ S T R IH1 HH ER0 Z +STRYCHNINE S T R IH1 K N AY2 N +STRYKER S T R AY1 K ER0 +STRZELECKI S T R EH2 Z IH0 L EH1 T S K IY0 +STRZELECKI(2) S T ER2 Z IH0 L EH1 T S K IY0 +STU S T UW1 +STUARD S T UW1 ER0 D +STUART S T UW1 ER0 T +STUART(2) S T Y UW1 ER0 T +STUART(3) S T AO1 R T +STUART'S S T UW1 ER0 T S +STUART'S(2) S T Y UW1 ER0 T S +STUART'S(3) S T AO1 R T S +STUARTS S T UW1 ER0 T S +STUB S T AH1 B +STUBBE S T AH1 B +STUBBED S T AH1 B D +STUBBINS S T AH1 B IH0 N Z +STUBBLE S T AH1 B AH0 L +STUBBLEFIELD S T AH1 B AH0 L F IY2 L D +STUBBORN S T AH1 B ER0 N +STUBBORNLY S T AH1 B ER0 N L IY0 +STUBBORNNESS S T AH1 B ER0 N N AH0 S +STUBBORNNESS(2) S T AH1 B ER0 N AH0 S +STUBBS S T AH1 B Z +STUBBY S T AH1 B IY0 +STUBER S T UW1 B ER0 +STUBS S T AH1 B Z +STUCCO S T AH1 K OW0 +STUCCOED S T AH1 K OW0 D +STUCHELL S T AH1 K AH0 L +STUCK S T AH1 K +STUCKE S T AH1 K +STUCKER S T AH1 K ER0 +STUCKERT S T AH1 K ER0 T +STUCKEY S T AH1 K IY0 +STUCKI S T AH1 K IY0 +STUCKMAN S T AH1 K M AH0 N +STUCKY S T AH1 K IY0 +STUD S T AH1 D +STUDDARD S T AH1 D ER0 D +STUDDED S T AH1 D IH0 D +STUDDS S T AH1 D Z +STUDE S T UW1 D +STUDEBAKER S T UW1 D AH0 B EY2 K ER0 +STUDEMAN S T UW1 D M AH0 N +STUDEMAN(2) S T UW1 D AH0 M AH0 N +STUDENT S T UW1 D AH0 N T +STUDENT'S S T UW1 D AH0 N T S +STUDENTS S T UW1 D AH0 N T S +STUDENTS' S T UW1 D AH0 N T S +STUDER S T UW1 D ER0 +STUDIED S T AH1 D IY0 D +STUDIES S T AH1 D IY0 Z +STUDIO S T UW1 D IY0 OW2 +STUDIO'S S T UW1 D IY0 OW2 Z +STUDIOS S T UW1 D IY0 OW2 Z +STUDIOS' S T UW1 D IY0 OW2 Z +STUDIOUS S T UW1 D IY0 AH0 S +STUDIOUSLY S T UW1 D IY0 AH0 S L IY0 +STUDLEY S T AH1 D L IY0 +STUDNICKA S T AH0 D N IH1 S K AH0 +STUDS S T AH1 D Z +STUDSTILL S T AH1 D S T IH2 L +STUDT S T AH1 D T +STUDTGARD S T AH1 T G AA2 R D +STUDY S T AH1 D IY0 +STUDY'S S T AH1 D IY0 Z +STUDYING S T AH1 D IY0 IH0 NG +STUDZINSKI S T AH0 JH IH1 N S K IY0 +STUEBE S T UW1 B +STUEBER S T UH1 B ER0 +STUECK S T UW1 K +STUEVE S T UW1 V +STUEWE S T UW1 +STUFF S T AH1 F +STUFF'S S T AH1 F S +STUFF-IT S T AH1 F IH0 T +STUFF-IT'S S T AH1 F IH0 T S +STUFFED S T AH1 F T +STUFFER S T AH1 F ER0 +STUFFING S T AH1 F IH0 NG +STUFFLEBEAM S T AH1 F AH0 L B IY2 M +STUFFLEBEAN S T AH1 F AH0 L B IY2 N +STUFFS S T AH1 F S +STUFFY S T AH1 F IY0 +STUHLER S T UW1 L ER0 +STUHR S T ER1 +STUHR(2) S T UH1 R +STUKA S T UW1 K AH0 +STUKEL S T UW1 K AH0 L +STUKES S T UW1 K S +STUKEY S T AH1 K IY0 +STULL S T AH1 L +STULLER S T AH1 L ER0 +STULTIFY S T AH1 L T AH0 F AY2 +STULTIFYING S T AH1 L T AH0 F AY2 IH0 NG +STULTS S T AH1 L T S +STULTZ S T AH1 L T S +STUM S T AH1 M +STUMBAUGH S T AH1 M B AO2 +STUMBLE S T AH1 M B AH0 L +STUMBLED S T AH1 M B AH0 L D +STUMBLES S T AH1 M B AH0 L Z +STUMBLING S T AH1 M B AH0 L IH0 NG +STUMBLING(2) S T AH1 M B L IH0 NG +STUMBO S T AH1 M B OW2 +STUMM S T AH1 M +STUMP S T AH1 M P +STUMPAGE S T AH1 M P IH0 JH +STUMPE S T AH1 M P +STUMPED S T AH1 M P T +STUMPER S T AH1 M P ER0 +STUMPF S T AH1 M P F +STUMPFF S T AH1 M P F +STUMPH S T AH1 M F +STUMPING S T AH1 M P IH0 NG +STUMPO S T AH1 M P OW2 +STUMPP S T AH1 M P +STUMPS S T AH1 M P S +STUN S T AH1 N +STUNG S T AH1 NG +STUNK S T AH1 NG K +STUNNED S T AH1 N D +STUNNER S T AH1 N ER0 +STUNNING S T AH1 N IH0 NG +STUNNINGLY S T AH1 N IH0 NG L IY0 +STUNS S T AH1 N Z +STUNT S T AH1 N T +STUNTED S T AH1 N T IH0 D +STUNTS S T AH1 N T S +STUNTZ S T AH1 N T S +STUPA S T UW1 P AA2 +STUPAK S T UW1 P AH0 K +STUPAR S T UW1 P ER0 +STUPAY S T UW0 P EY1 +STUPENDOUS S T UW0 P EH1 N D AH0 S +STUPID S T UW1 P AH0 D +STUPID(2) S T UW1 P IH0 D +STUPIDER S T UW1 P IH0 D ER0 +STUPIDEST S T UW1 P IH0 D AH0 S T +STUPIDITY S T UW0 P IH1 D IH0 T IY2 +STUPIDLY S T UW1 P AH0 D L IY0 +STUPKA S T AH1 P K AA2 +STUPOR S T UW1 P ER0 +STUPP S T AH1 P +STUPSKI S T AH1 P S K IY2 +STURBRIDGE S T ER1 B R IH2 JH +STURC S T ER1 K +STURDEVANT S T ER1 D IH0 V AH0 N T +STURDHAL S T ER1 D AA0 L +STURDIER S T ER1 D IY0 ER0 +STURDINESS S T ER1 D IY0 N AH0 S +STURDIVANT S T ER1 D IH0 V AH0 N T +STURDY S T ER1 D IY0 +STURGELL S T ER1 G AH0 L +STURGEON S T ER1 JH AH0 N +STURGEON(2) S T ER1 JH IH0 N +STURGEONS S T ER1 JH AH0 N Z +STURGES S T ER1 JH IH0 Z +STURGESS S T ER1 G IH0 S +STURGILL S T ER1 G AH0 L +STURGIS S T ER1 JH IH0 S +STURKIE S T ER1 K IY0 +STURM S T ER1 M +STURMAN S T ER1 M AH0 N +STURMANS S T ER1 M AH0 N Z +STURMER S T ER1 M ER0 +STURN S T ER1 N +STURROCK S T AO1 R AH0 K 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AY2 Z +STYLIZE(2) S T AY1 AH0 L AY2 Z +STYLIZED S T AY1 L AY2 Z D +STYLUS S T AY1 L AH0 S +STYMIE S T AY1 M IY0 +STYMIED S T AY1 M IY0 D +STYMIES S T AY1 M IY0 Z +STYNE S T AY1 N +STYRENE S T AY1 R IY2 N +STYROFOAM S T AY1 R AH0 F OW2 M +STYRON S T AY1 R AO0 N +STYS S T IH1 S +STYX S T IH1 K S +SU S UW1 +SUARD S UW1 AA0 R D +SUARD(2) S W AA1 R D +SUAREZ S W AA0 R EH1 Z +SUASION S W EY1 ZH AH0 N +SUATA S UW0 AA1 T AH0 +SUATA'S S UW0 AA1 T AH0 Z +SUAVE S W AA1 V +SUAZO S W AA1 Z OW0 +SUB S AH1 B +SUB'S S AH1 B Z +SUB-FOREMAN S AH0 B F AO1 R M AH0 N +SUB-WAY S AH1 B W EY2 +SUBA S UW1 B AH0 +SUBACUTE S AH1 B AH0 K Y UW1 T +SUBANDRIO S AH0 B AE1 N D R IY0 OW0 +SUBARU S UW1 B ER0 UW0 +SUBASSEMBLIES S AH2 B AH0 S EH1 M B L IY0 Z +SUBASSEMBLY S AH2 B AH0 S EH1 M B L IY0 +SUBATOMIC S AH2 B AH0 T AA1 M IH0 K +SUBBED S AH1 B D +SUBBING S AH1 B IH0 NG +SUBCHAPTER S AH1 B CH AE1 P T ER0 +SUBCOMMANDER S AH1 B K AH0 M AE2 N D ER0 +SUBCOMMANDER'S S AH1 B K AH0 M AE2 N D ER0 Z +SUBCOMMANDERS S AH1 B K AH0 M AE2 N D ER0 Z +SUBCOMMITTEE S AH1 B K AH0 M IH1 T IY0 +SUBCOMMITTEE'S S AH1 B K AH0 M IH1 T IY0 Z +SUBCOMMITTEES S AH1 B K AH0 M IH1 T IY0 Z +SUBCOMPACT S AH0 B K AA1 M P AE0 K T +SUBCOMPACTS S AH0 B K AA1 M P AE0 K T S +SUBCONSCIOUS S AH0 B K AA1 N SH AH0 S +SUBCONSCIOUSLY S AH0 B K AA1 N SH AH0 S L IY0 +SUBCONTINENT S AH0 B K AA1 N T IH0 N AH0 N T +SUBCONTINENTS S AH0 B K AA1 N T IH0 N AH0 N T S +SUBCONTRACT S AH0 B K AA1 N T R AE2 K T +SUBCONTRACTED S AH0 B K AA1 N T R AE0 K T IH0 D +SUBCONTRACTING S AH2 B K AH0 N T R AE1 K T IH0 NG +SUBCONTRACTOR S AH0 B K AA1 N T R AE2 K T ER0 +SUBCONTRACTORS S AH0 B K AA1 N T R AE0 K T ER0 Z +SUBCONTRACTS S AH0 B K AA1 N T R AE2 K T S +SUBCULTURE S AH1 B K AH2 L CH ER0 +SUBCULTURES S AH1 B K AH2 L CH ER0 Z +SUBCUTANEOUS S AH0 B K Y UW2 T EY1 N IY0 AH0 S +SUBDIVIDE S AH2 B D AH0 V AY1 D +SUBDIVIDED S AH2 B D IH0 V AY1 D IH0 D +SUBDIVISION S AH1 B D IH0 V IH2 ZH AH0 N +SUBDIVISIONS S AH1 B D IH0 V IH2 ZH AH0 N Z +SUBDUE S AH0 B D UW1 +SUBDUED 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AY1 B ER0 Z +SUBSCRIBERS' S AH0 B S K R AY1 B ER0 Z +SUBSCRIBES S AH0 B S K R AY1 B Z +SUBSCRIBING S AH0 B S K R AY1 B IH0 NG +SUBSCRIPTION S AH0 B S K R IH1 P SH AH0 N +SUBSCRIPTIONS S AH0 B S K R IH1 P SH AH0 N Z +SUBSECTION S AH1 B S EH0 K SH AH0 N +SUBSEQUENT S AH1 B S AH0 K W AH0 N T +SUBSEQUENTLY S AH1 B S AH0 K W AH0 N T L IY0 +SUBSERVIENCE S AH0 B S ER1 V IY0 AH0 N S +SUBSERVIENT S AH0 B S ER1 V IY0 AH0 N T +SUBSET S AH1 B S EH2 T +SUBSETS S AH1 B S EH2 T S +SUBSIDE S AH0 B S AY1 D +SUBSIDED S AH0 B S AY1 D IH0 D +SUBSIDENCE S AH0 B S AY1 D AH0 N S +SUBSIDES S AH0 B S AY1 D Z +SUBSIDIARIES S AH0 B S IH1 D IY0 EH2 R IY0 Z +SUBSIDIARIES' S AH0 B S IH1 D IY0 EH2 R IY0 Z +SUBSIDIARY S AH0 B S IH1 D IY0 EH2 R IY0 +SUBSIDIARY'S S AH0 B S IH1 D IY0 EH2 R IY0 Z +SUBSIDIES S AH1 B S AH0 D IY0 Z +SUBSIDIES(2) S AH1 B S IH0 D IY0 Z +SUBSIDING S AH0 B S AY1 D IH0 NG +SUBSIDIZATION S AH2 B S IH0 D IH0 Z EY1 SH AH0 N +SUBSIDIZE S AH1 B S IH0 D AY2 Z +SUBSIDIZED S AH1 B S IH0 D AY2 Z D 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S AH1 B S T AH0 N T IH0 V L IY0 +SUBSTATION S AH1 B S T EY2 SH AH0 N +SUBSTITUTE S AH1 B S T AH0 T UW2 T +SUBSTITUTED S AH1 B S T AH0 T UW2 T IH0 D +SUBSTITUTES S AH1 B S T AH0 T UW2 T S +SUBSTITUTING S AH1 B S T IH0 T UW2 T IH0 NG +SUBSTITUTION S AH2 B S T IH0 T UW1 SH AH0 N +SUBSTITUTIONS S AH2 B S T IH0 T Y UW1 SH AH0 N Z +SUBSTRATE S AH1 B S T R EY2 T +SUBSTRATES S AH1 B S T R EY2 T S +SUBSURFACE S AH1 B S ER2 F AH0 S +SUBSYSTEM S AH1 B S IH2 S T AH0 M +SUBSYSTEMS S AH1 B S IH2 S T AH0 M Z +SUBTERFUGE S AH1 B T ER0 F Y UW2 JH +SUBTERRANEAN S AH0 B T ER0 EY1 N IY0 AH0 N +SUBTEXT S AH1 B T EH2 K S T +SUBTITLE S AH1 B T AY2 T AH0 L +SUBTITLED S AH1 B T AY2 T AH0 L D +SUBTITLES S AH1 B T AY2 T AH0 L Z +SUBTLE S AH1 T AH0 L +SUBTLER S AH1 T AH0 L ER0 +SUBTLER(2) S AH1 T L ER0 +SUBTLETIES S AH1 T AH0 L T IY0 Z +SUBTLETY S AH1 T AH0 L T IY0 +SUBTLY S AH1 T AH0 L IY0 +SUBTRACT S AH0 B T R AE1 K T +SUBTRACTED S AH0 B T R AE1 K T IH0 D +SUBTRACTING S AH0 B T R AE1 K T IH0 NG +SUBTRACTION S AH0 B T R AE1 K SH AH0 N +SUBTYPE S AH1 B T AY2 P +SUBTYPING S AH1 B T AY2 P IH0 NG +SUBUNIT S AH2 B Y UW1 N IH0 T +SUBUNITS S AH2 B Y UW1 N IH0 T S +SUBURB S AH1 B ER0 B +SUBURB'S S AH1 B ER0 B Z +SUBURBAN S AH0 B ER1 B AH0 N +SUBURBANITE S AH0 B ER1 B AH0 N AY2 T +SUBURBANITES S AH0 B ER1 B AH0 N AY2 T S +SUBURBANIZATION S AH0 B ER2 B AH0 N IH0 Z EY1 SH AH0 N +SUBURBANIZE S AH0 B ER1 B AH0 N AY2 Z +SUBURBANS S AH0 B ER1 B AH0 N Z +SUBURBIA S AH0 B ER1 B IY0 AH0 +SUBURBS S AH1 B ER0 B Z +SUBVERSION S AH0 B V ER1 ZH AH0 N +SUBVERSIVE S AH0 B V ER1 S IH0 V +SUBVERSIVES S AH0 B V ER1 S IH0 V Z +SUBVERT S AH0 B V ER1 T +SUBVERTED S AH0 B V ER1 T IH0 D +SUBVERTING S AH0 B V ER1 T IH0 NG +SUBVERTS S AH0 B V ER1 T S +SUBVOLCANIC S AH2 B V AA0 L K AE1 N IH0 K +SUBWAY S AH1 B W EY2 +SUBWAY'S S AH1 B W EY2 Z +SUBWAYS S AH1 B W EY2 Z +SUBZERO S AH2 B Z IH1 R OW0 +SUBZERO(2) S AH2 B Z IY1 R OW0 +SUC S AH1 K +SUCCEED S AH0 K S IY1 D +SUCCEEDED S AH0 K S IY1 D IH0 D +SUCCEEDING S AH0 K S IY1 D IH0 NG +SUCCEEDS S AH0 K S IY1 D Z +SUCCESS S AH0 K S EH1 S +SUCCESSES S AH0 K S EH1 S AH0 Z +SUCCESSES(2) S AH0 K S EH1 S IH0 Z +SUCCESSFUL S AH0 K S EH1 S F AH0 L +SUCCESSFULLY S AH0 K S EH1 S F AH0 L IY0 +SUCCESSION S AH0 K S EH1 SH AH0 N +SUCCESSIVE S AH0 K S EH1 S IH0 V +SUCCESSIVELY S AH0 K S EH1 S IH0 V L IY0 +SUCCESSOR S AH0 K S EH1 S ER0 +SUCCESSORS S AH0 K S EH1 S ER0 Z +SUCCINCT S AH0 K S IH1 NG K T +SUCCINCTLY S AH0 K S IH1 NG K T L IY0 +SUCCOR S AH1 K ER0 +SUCCULENT S AH1 K Y AH0 L IH0 N T +SUCCULENTS S AH1 K Y AH0 L AH0 N T S +SUCCUMB S AH0 K AH1 M +SUCCUMBED S AH0 K AH1 M D +SUCCUMBING S AH0 K AH1 M IH0 NG +SUCCUMBS S AH0 K AH1 M Z +SUCH S AH1 CH +SUCHAN S AH1 CH AH0 N +SUCHANEK S AH1 K AH0 N IH0 K +SUCHARD S UW0 SH AA1 R D +SUCHARSKI S AH0 K AA1 R S K IY0 +SUCHECKI S AH0 K EH1 K IY0 +SUCHER S AH1 CH ER0 +SUCHINDA S UW2 CH IH1 N D AH0 +SUCHOCKI S AH0 K AA1 K IY0 +SUCHOMEL S AH1 K OW0 M EH2 L +SUCHY S AH1 CH IY0 +SUCK S AH1 K +SUCKED S AH1 K T +SUCKER S AH1 K ER0 +SUCKERED S AH1 K ER0 D +SUCKERS S AH1 K ER0 Z +SUCKING S AH1 K IH0 NG +SUCKLE S AH1 K AH0 L +SUCKLING S AH1 K L IH0 NG +SUCKOW S AH1 K AW0 +SUCKROW S AH1 K R OW0 +SUCKS S AH1 K S +SUCRALOSE S UW1 K R AH0 L OW2 S +SUCRE S UW1 K ER0 +SUCROSE S UW1 K R OW0 S +SUCTION S AH1 K SH AH0 N +SUDA S UW1 D AH0 +SUDAFED S UW1 D AH0 F EH2 D +SUDAN S UW0 D AE1 N +SUDAN'S S UW0 D AE1 N Z +SUDANESE S UW2 D AH0 N IY1 Z +SUDANO S UW0 D AA1 N OW0 +SUDBECK S AH1 D B EH2 K +SUDBERRY S AH1 D B EH2 R IY0 +SUDBURY S AH1 D B EH2 R IY0 +SUDBURY'S S AH1 D B EH2 R IY0 Z +SUDD S AH1 D +SUDDAM S AH2 D AA1 M +SUDDAM'S S AH2 D AA1 M Z +SUDDARTH S AH1 D AA0 R TH +SUDDATH S AH1 D AH0 TH +SUDDEN S AH1 D AH0 N +SUDDENLY S AH1 D AH0 N L IY0 +SUDDENNESS S AH1 D AH0 N N AH0 S +SUDDERTH S AH1 D ER0 TH +SUDDETH S AH1 D IH0 TH +SUDDRETH S AH1 D R IH0 TH +SUDDUTH S AH1 D AH0 TH +SUDER S UW1 D ER0 +SUDERMAN S UW1 D ER0 M AH0 N +SUDLER S UW1 D AH0 L ER0 +SUDLER(2) S UW1 D L ER0 +SUDOL S UW1 D AH0 L +SUDS S AH1 D Z +SUE S UW1 +SUED S UW1 D +SUEDE S W EY1 D +SUEDES S W EY1 D Z +SUEKER S UW1 K ER0 +SUEN S UW1 N +SUES S UW1 Z +SUESS S W IH1 S +SUEY S UW1 IY0 +SUEZ S UW1 EH0 Z +SUEZ'S S UW1 EH0 Z IH0 Z +SUFFER S AH1 F ER0 +SUFFERED S AH1 F ER0 D +SUFFERER S AH1 F ER0 ER0 +SUFFERERS S AH1 F ER0 ER0 Z +SUFFERING S AH1 F ER0 IH0 NG +SUFFERING(2) S AH1 F R IH0 NG +SUFFERINGS S AH1 F ER0 IH0 NG Z +SUFFERINGS(2) S AH1 F R IH0 NG Z +SUFFERN S AH1 F ER0 N +SUFFERS S AH1 F ER0 Z +SUFFICE S AH0 F AY1 S +SUFFICED S AH0 F AY1 S T +SUFFICES S AH0 F AY1 S IH0 Z +SUFFICIENCY S AH0 F IH1 SH AH0 N S IY0 +SUFFICIENT S AH0 F IH1 SH AH0 N T +SUFFICIENTLY S AH0 F IH1 SH AH0 N T L IY0 +SUFFIELD S AH1 F IY0 L D +SUFFIELD'S S AH1 F IY0 L D Z +SUFFIX S AH1 F IH0 K S +SUFFOCATE S AH1 F AH0 K EY2 T +SUFFOCATED S AH1 F AH0 K EY2 T IH0 D +SUFFOCATING S AH1 F AH0 K EY2 T IH0 NG +SUFFOCATION S AH2 F AH0 K EY1 SH AH0 N +SUFFOLK S AH1 F AH0 K +SUFFRAGE S AH1 F R IH0 JH +SUFFRAGETTE S AH2 F R AH0 JH EH1 T +SUFFRAGETTES S AH2 F R AH0 JH EH1 T S +SUFFRAGIST S AH1 F R AH0 JH IH0 S T +SUFFRAGISTS S AH1 F R AH0 JH IH0 S T S +SUFFUSE S AH0 F Y UW1 Z +SUFFUSED S AH0 F Y UW1 Z D +SUFFUSES S AH0 F Y UW1 Z IH0 Z +SUFFUSING S AH0 F Y UW1 Z IH0 NG +SUGAR SH UH1 G ER0 +SUGAR'S SH UH1 G ER0 Z +SUGARCANE SH UH1 G ER0 K EY2 N +SUGARED SH UH1 G ER0 D +SUGARMAN SH UH1 G ER0 M AH0 N +SUGARS SH UH1 G ER0 Z +SUGARY SH UH1 G ER0 IY0 +SUGDEN S AH1 G D AH0 N +SUGERMAN S UW1 G ER0 M AH0 N +SUGG S AH1 G +SUGGEST S AH0 JH EH1 S T +SUGGESTED S AH0 JH EH1 S T IH0 D +SUGGESTIBLE S AH0 JH EH1 S T AH0 B AH0 L +SUGGESTING S AH0 JH EH1 S T IH0 NG +SUGGESTION S AH0 JH EH1 S CH AH0 N +SUGGESTIONS S AH0 JH EH1 S CH AH0 N Z +SUGGESTIVE S AH0 JH EH1 S T IH0 V +SUGGESTIVENESS S AH0 JH EH1 S T IH0 V N AH0 S +SUGGESTS S AH0 JH EH1 S T S +SUGGS S AH1 G Z +SUGIHARA S UW0 G IY0 HH AA1 R AH0 +SUGIMOTO S UW0 G IY0 M OW1 T OW0 +SUGIYAMA S UW0 G IY0 Y AA1 M AH0 +SUGRUE S AH1 G R UW0 +SUH S AH1 +SUHARTO S UW0 HH AA1 R T OW0 +SUHARTO'S S UW0 HH AA1 R T OW0 Z +SUHLER S UW1 L ER0 +SUHM S UW1 M +SUHR S UH1 R +SUHRE S UH1 R +SUHUA S UW1 HH W AA1 +SUHUD S UW0 HH UH1 D +SUI S UW1 IY0 +SUI(2) S W IY0 +SUICIDAL S UW2 AH0 S AY1 D AH0 L +SUICIDE S UW1 AH0 S AY2 D +SUICIDE(2) S UW1 IH0 S AY2 D +SUICIDES S UW1 AH0 S AY2 D Z +SUING S UW1 IH0 NG +SUIRE S UH1 R +SUISSE S W IH1 S +SUISSE(2) S W IY1 S +SUISSE'S S W IH1 S IH0 Z +SUISSE'S(2) S W IY1 S IH0 Z +SUIT S UW1 T +SUIT'S S UW1 T S +SUITABILITY S UW2 T AH0 B IH1 L IH0 T IY0 +SUITABLE S UW1 T AH0 B AH0 L +SUITABLY S UW1 T AH0 B L IY0 +SUITCASE S UW1 T K EY2 S +SUITCASES S UW1 T K EY2 S IH0 Z +SUITE S W IY1 T +SUITED S UW1 T IH0 D +SUITER S UW1 T ER0 +SUITES S W IY1 T S +SUITING S UW1 T IH0 NG +SUITOR S UW1 T ER0 +SUITOR'S S UW1 T ER0 Z +SUITORS S UW1 T ER0 Z +SUITS S UW1 T S +SUITT S UW1 T +SUK S AH1 K +SUKARNO S UW0 K AA1 R N OW0 +SUKARNO'S S UW0 K AA1 R N OW0 Z +SUKEY S UW1 K IY0 +SUKHAREV S AH1 K ER0 AH0 V +SUKHUMI S UW2 K UW1 M IY0 +SUKI S UW1 K IY0 +SUKIYAKI S UW0 K IY0 AA1 K IY0 +SUKRU S UH1 K R UW0 +SUKRU(2) S UW1 K R UW0 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IH1 R +SUMMITEERS S AH2 M IH0 T IH1 R Z +SUMMITRY S AH1 M IH0 T R IY0 +SUMMITS S AH1 M IH0 T S +SUMMITT S AH1 M IH0 T +SUMMITVILLE S AH1 M IH0 T V IH0 L +SUMMON S AH1 M AH0 N +SUMMONED S AH1 M AH0 N D +SUMMONING S AH1 M AH0 N IH0 NG +SUMMONS S AH1 M AH0 N Z +SUMMONSED S AH1 M AH0 N Z D +SUMMONSES S AH1 M AH0 N Z IH0 Z +SUMMOR'S S AH1 M ER0 Z +SUMMUM S AH1 M AH0 M +SUMMY S AH1 M IY0 +SUMNER S AH1 M N ER0 +SUMNERS S AH1 M N ER0 Z +SUMO S UW1 M OW0 +SUMP S AH1 M P +SUMPTER S AH1 M P T ER0 +SUMPTUOUS S AH1 M P CH W AH0 S +SUMPTUOUS(2) S AH1 M P CH UW0 AH0 S +SUMRALL S AH1 M R AH0 L +SUMRELL S UW0 M R EY1 L +SUMROW S AH1 M R OW2 +SUMS S AH1 M Z +SUMTER S AH1 M T ER0 +SUN S AH1 N +SUN'S S AH1 N Z +SUNAMERICA S AH1 N AH0 M EH1 R AH0 K AH0 +SUNAU S UW1 N AW0 +SUNBATH S AH1 N B AE2 TH +SUNBATHE S AH1 N B EY2 DH +SUNBATHING S AH1 N B EY2 DH IH0 NG +SUNBEAM S AH1 N B IY2 M +SUNBEAM'S S AH1 N B IY2 M Z +SUNBELT S AH1 N B EH2 L T +SUNBELT'S S AH1 N B EH2 L T S +SUNBIRD S AH1 N B ER2 D +SUNBIRDS S AH1 N B ER2 D Z +SUNBURN S AH1 N B ER2 N +SUNBURNED S AH1 N B ER2 N D +SUNCOAST S AH1 N K OW2 S T +SUNCOOK S AH1 N K UH2 K +SUNCOR S AH1 N K AO2 R +SUND S AH1 N D +SUNDAE S AH1 N D EY0 +SUNDAE'S S AH1 N D EY2 Z +SUNDAHL S AH1 N D AA2 L +SUNDAI S AH0 N D AY1 +SUNDANCE S AH1 N D AE2 N S +SUNDAR S UW1 N D AA0 R +SUNDARARAJAN S UW0 N D AA2 R AH0 R AA1 JH AH0 N +SUNDAY S AH1 N D EY2 +SUNDAY(2) S AH1 N D IY2 +SUNDAY'S S AH1 N D EY2 Z +SUNDAY'S(2) S AH1 N D IY2 Z +SUNDAYS S AH1 N D EY2 Z +SUNDAYS(2) S AH1 N D IY2 Z +SUNDBERG S AH1 N D B ER0 G +SUNDBY S AH1 N D B IY0 +SUNDE S AH1 N D +SUNDEEN S AH1 N D IY0 N +SUNDELL S AH1 N D AH0 L +SUNDER S AH1 N D ER0 +SUNDERLAND S AH1 N D ER0 L AH0 N D +SUNDERLIN S AH1 N D ER0 L IH0 N +SUNDERMAN S AH1 N D ER0 M AH0 N +SUNDERMEYER S AH1 N D ER0 M AY0 ER0 +SUNDEWS S AH1 N D UW2 Z +SUNDHEIM S AH1 N D HH AY2 M +SUNDIAL S AH1 N D AY2 L +SUNDIN S AH1 N D AH0 N +SUNDLUN S AH1 N D L AH0 N +SUNDOWN S AH1 N D AW2 N +SUNDQUIST S AH1 N D K W IH2 S T +SUNDRY S AH1 N D R IY0 +SUNDSTRAND S AH1 N D S T R AE2 N D +SUNDSTROM S AH1 N D S T R AH0 M +SUNDT S AH1 N T +SUNDY S AH1 N D IY0 +SUNFIRE S AH1 N F AY2 R +SUNFISH S AH1 N F IH2 SH +SUNFLOWER S AH1 N F L AW2 ER0 +SUNFLOWERS S AH1 N F L AW2 ER0 Z +SUNG S AH1 NG +SUNG'S S AH1 NG Z +SUNGARD S AH1 N G AA2 R D +SUNGARD'S S AH1 N G AA2 R D Z +SUNGLASS S AH1 N G L AE2 S +SUNGLASSES S AH1 N G L AE2 S IH0 Z +SUNGROUP S AH1 N G R UW2 P +SUNI S UW1 N IY0 +SUNIA S UW1 N IY0 AH0 +SUNIGA S UW0 N IY1 G AH0 +SUNIL S UW0 N IH1 L +SUNK S AH1 NG K +SUNKEN S AH1 NG K AH0 N +SUNKIST S AH1 N K IH2 S T +SUNLAND S AH1 N L AE2 N D +SUNLIGHT S AH1 N L AY2 T +SUNLIT S AH1 N L IH2 T +SUNLITE S AH1 N L AY2 T +SUNNI S UW1 N IY0 +SUNNING S AH1 N IH0 NG +SUNNIS S UH1 N IY2 Z +SUNNY S AH1 N IY0 +SUNNYSIDE S AH1 N IY0 S AY2 D +SUNNYVALE S AH1 N IY0 V EY2 L +SUNOBE S UW0 N OW1 B IY0 +SUNOBE'S S UW0 N OW1 B IY0 Z +SUNOCO S IH0 N OW1 K OW0 +SUNPOINT S AH1 N P OY2 N T +SUNRISE S AH1 N R AY2 Z +SUNRISE'S S AH1 N R AY2 Z IH0 Z +SUNROOF S AH1 N R UW2 F +SUNROOM S AH1 N R UW2 M +SUNS S AH1 N Z +SUNSCREEN S AH0 N S K R IY1 N +SUNSCREEN(2) S AH1 N S K R IY0 N +SUNSCREENS S AH0 N S K R IY1 N Z +SUNSCREENS(2) S AH1 N S K R IY0 N Z +SUNSERI S AH0 N S EH1 R IY0 +SUNSET S AH1 N S EH2 T +SUNSETS S AH1 N S EH2 T S +SUNSHINE S AH1 N SH AY2 N +SUNSHINE'S S AH1 N SH AY2 N Z +SUNSHINY S AH1 N SH AY2 N IY0 +SUNSPOT S AH1 N S P AA2 T +SUNSPOTS S AH1 N S P AA2 T S +SUNSTAR S AH1 N S T AA2 R +SUNSTATE S AH1 N S T EY2 T +SUNSTATES S AH1 N S T EY2 T S +SUNSWEET S AH1 N S W IY2 T +SUNSWEET'S S AH1 N S W IY2 T S +SUNTAN S AH1 N T AE2 N +SUNTER S AH1 N T ER0 +SUNTORY S AH1 N T AO1 R IY0 +SUNTRUST S AH1 N T R AH2 S T +SUNTRUST'S S AH1 N T R AH2 S T S +SUNUNU S AH0 N UW1 N UW0 +SUNUNU'S S AH0 N UW1 N UW0 Z +SUNUP S AH1 N AH0 P +SUNWARD S AH1 N W ER0 D +SUNWORLD S AH1 N W ER2 L D +SUNWORLD'S S AH1 N W ER2 L D Z +SUNY S UW1 N IY2 +SUON S UW1 AO0 N +SUP S AH1 P +SUPAK S UW1 P AH0 K +SUPAN S UW1 P AH0 N +SUPER S UW1 P ER0 +SUPER-IMPOSITION S UW2 P ER0 IH2 M P AH0 Z IH1 SH AH0 N +SUPER-POSITION S UW2 P ER0 P AH0 Z IH1 SH AH0 N +SUPERABRASIVE S UW2 P ER0 AH0 B R EY1 S IH0 V +SUPERABRASIVES S UW2 P ER0 AH0 B R EY1 S IH0 V Z +SUPERAMERICA S UW2 P ER0 AH0 M EH1 R IH0 K AH0 +SUPERB S UH0 P ER1 B +SUPERBAR S UW1 P ER0 B AA2 R +SUPERBLY S UW1 P ER0 B L IY0 +SUPERBOWL S UW1 P ER0 B OW2 L +SUPERBOWL'S S UW1 P ER0 B OW2 L Z +SUPERBOWLS S UW1 P ER0 B OW2 L Z +SUPERCALIFRAGILISTIC S UW2 P ER0 K AE2 L AH0 F R AE1 JH AH0 L IH2 S T IH0 K +SUPERCENTER S UW1 P ER0 S EH2 N T ER0 +SUPERCENTERS S UW1 P ER0 S EH2 N T ER0 S +SUPERCHARGE S UW2 P ER0 CH AA1 R JH +SUPERCHARGED S UW2 P ER0 CH AA1 R JH D +SUPERCILIOUS S UW2 P ER0 S IH1 L IY0 AH0 S +SUPERCOLLIDER S UW0 P ER0 K AH0 L AY1 D ER0 +SUPERCOMPUTER S UW2 P ER0 K AH0 M P Y UW1 T ER0 +SUPERCOMPUTERS S UW2 P ER0 K AH0 M P Y UW1 T ER0 Z +SUPERCOMPUTING S UW0 P ER0 K AH0 M P Y UW1 T IH0 NG +SUPERCONDUCTING S UW1 P ER0 K AH0 N D AH2 K T IH0 NG +SUPERCONDUCTIVE S UW0 P ER0 K AH0 N D AH1 K T IH0 V +SUPERCONDUCTIVITY S UW2 P ER0 K AA2 N D AH2 K T IH1 V AH0 T IY0 +SUPERCONDUCTOR S UW1 P ER0 K AH0 N D AH2 K T ER0 +SUPERCONDUCTORS S UW1 P ER0 K AH0 N D AH2 K T ER0 Z +SUPERCOOL S UW2 P ER0 K UW1 L +SUPERCOOLED S UW2 P ER0 K UW1 L D +SUPERCUT S UW1 P ER0 K AH2 T +SUPERCUTS S UW1 P ER0 K AH2 T S +SUPERDELEGATE S UW0 P ER0 D EH1 L AH0 G AH0 T +SUPERDELEGATES S UW0 P ER0 D EH1 L AH0 G AH0 T S +SUPERDOME S UW2 P ER0 D OW1 M +SUPERDOT S UW1 P ER0 D AA2 T +SUPERDRUG S UW1 P ER0 D R AH2 G +SUPERFAMILY S UW1 P ER0 F AE2 M L IY0 +SUPERFAN S UW1 P ER0 F AE2 N +SUPERFAST S UW1 P ER0 F AE2 S T +SUPERFICIAL S UW2 P ER0 F IH1 SH AH0 L +SUPERFICIALLY S UW1 P ER0 F IH2 SH AH0 L IY0 +SUPERFLUIDITY S UW2 P ER0 F L UW2 IH1 D AH0 T IY0 +SUPERFLUOUS S UW1 P ER0 F L W AH2 S +SUPERFON S UW1 P ER0 F IH0 N +SUPERFREIGHTER S UW1 P ER0 F R EY2 T ER0 +SUPERFREIGHTERS S UW1 P ER0 F R EY2 T ER0 Z +SUPERFUND S UW2 P ER0 F AH1 N D +SUPERGIANT S UW1 P ER0 JH AY1 AH0 N T +SUPERGIANTS S UW2 P ER0 JH AY1 AH0 N T S +SUPERHEATED S UW2 P ER0 HH IY1 T IH0 D +SUPERHERO S UW2 P ER0 HH IY1 R OW0 +SUPERHEROES S UW2 P ER0 HH IY1 R OW0 Z +SUPERHETERODYNE S UW2 P ER0 HH EH1 T ER0 AH0 D AY2 N +SUPERHIGHWAY S UW2 P ER0 HH AY1 W EY2 +SUPERHIGHWAYS S UW2 P ER0 HH AY1 W EY2 Z +SUPERHUMAN S UW2 P ER0 HH Y UW1 M AH0 N +SUPERIMPOSE S UW2 P ER0 AH0 M P OW1 Z +SUPERIMPOSED S UW2 P ER0 AH0 M P OW1 Z D +SUPERINTENDANT S UW2 P ER0 AH0 N T EH1 N D AH0 N T +SUPERINTENDANT(2) S UW2 P ER0 IH0 N T EH1 N D AH0 N T +SUPERINTENDENT S UW2 P ER0 AH0 N T EH1 N D AH0 N T +SUPERINTENDENT(2) S UW2 P ER0 IH0 N T EH1 N D AH0 N T +SUPERINTENDENT'S S UW2 P ER0 IH0 N T EH1 N D AH0 N T S +SUPERINTENDENTS S UW2 P ER0 AH0 N T EH1 N D AH0 N T S +SUPERINTENDENTS(2) S UW2 P ER0 IH0 N T EH1 N D AH0 N T S +SUPERIOR S UW0 P IH1 R IY0 ER0 +SUPERIOR'S S UW0 P IY1 R IY0 ER0 Z +SUPERIORITY S UW2 P IH0 R IY0 AO1 R IH0 T IY0 +SUPERIORS S UW0 P IH1 R IY0 ER0 Z +SUPERLATIVE S UH0 P ER1 L AH0 T IH0 V +SUPERLATIVES S UH0 P ER1 L AH0 T IH0 V Z +SUPERMAC S UW1 P ER0 M AE2 K +SUPERMAJORITY S UW1 P ER0 M AH0 JH AO2 R IH0 T IY0 +SUPERMAN S UW1 P ER0 M AH0 N +SUPERMAN(2) S UW1 P ER0 M AE2 N +SUPERMAN'S S UW1 P ER0 M AE0 N Z +SUPERMARKET S UW1 P ER0 M AA2 R K IH0 T +SUPERMARKET'S S UW1 P ER0 M AA2 R K AH0 T S +SUPERMARKETS S UW1 P ER0 M AA2 R K IH0 T S +SUPERMASSIVE S UW2 P ER0 M AE1 S IH0 V +SUPERMINICOMPUTER S UW1 P ER0 M IH2 N IY0 K AH0 M P Y UW2 T ER0 +SUPERMINICOMPUTERS S UW1 P ER0 M IH2 N IY0 K AH0 M P Y UW2 T ER0 Z +SUPERMODEL S UW1 P ER0 M AA2 D AH0 L +SUPERMODELS S UW1 P ER0 M AA2 D AH0 L Z +SUPERNATURAL S UW2 P ER0 N AE1 CH ER0 AH0 L +SUPERNATURALISM S UW2 P ER0 N AE1 CH ER0 AH0 L IH2 Z AH0 M +SUPERNOVA S UW2 P ER0 N OW1 V AH0 +SUPEROXIDE S UW2 P ER0 AA1 K S AY2 D +SUPERPOWER S UW2 P ER0 P AW1 ER0 +SUPERPOWERS S UW2 P ER0 P AW1 ER0 Z +SUPERPOWERS' S UW1 P ER0 P AW2 R Z +SUPERPREMIUM S UW2 P ER0 P R IY1 M IY0 AH0 M +SUPERPREMIUM(2) S UW2 P ER0 P R IY1 M Y AH0 M +SUPERREGIONAL S UW2 P ER0 R IY1 JH AH0 N AH0 L +SUPERREGIONALS S UW2 P ER0 R IY1 JH AH0 N AH0 L Z +SUPERREGIONALS' S UW0 P ER0 R IY1 JH AH0 N AH0 L Z +SUPERS S UW1 P ER0 Z +SUPERSAVER S UW1 P ER0 S EY2 V ER0 +SUPERSECRET S UW1 P ER0 S IY2 K R IH0 T +SUPERSEDE S UW2 P ER0 S IY1 D +SUPERSEDED S UW2 P ER0 S IY1 D IH0 D +SUPERSEDES S UW2 P ER0 S IY1 D Z +SUPERSEDING S UW2 P ER0 S IY1 D IH0 NG +SUPERSONIC S UW2 P ER0 S AA1 N IH0 K +SUPERSONICS S UW2 P ER0 S AA1 N IH0 K S +SUPERSTAR S UW2 P ER0 S T AA1 R +SUPERSTARS S UW2 P ER0 S T AA1 R Z +SUPERSTATION S UW2 P ER0 S T EY1 SH AH0 N +SUPERSTITION S UW2 P ER0 S T IH1 SH AH0 N +SUPERSTITIONS S UW2 P ER0 S T IH1 SH AH0 N Z +SUPERSTITIOUS S UW2 P ER0 S T IH1 SH AH0 S +SUPERSTORE S UW1 P ER0 S T AO2 R +SUPERSTORES S UW1 P ER0 S T AO2 R Z +SUPERSTRUCTURE S UW1 P ER0 S T R AH2 K CH ER0 +SUPERSTRUCTURES S UW1 P ER0 S T R AH2 K CH ER0 Z +SUPERTANKER S UW1 P ER0 T AE2 NG K ER0 +SUPERTANKERS S UW1 P ER0 T AE2 NG K ER0 Z +SUPERVALU S UW2 P ER0 V AE1 L Y UW0 +SUPERVALUE S UW2 P ER0 V AE1 L Y UW0 +SUPERVISE S UW1 P ER0 V AY2 Z +SUPERVISED S UW1 P ER0 V AY2 Z D +SUPERVISES S UW1 P ER0 V AY2 Z IH0 Z +SUPERVISING S UW1 P ER0 V AY2 Z IH0 NG +SUPERVISION S UW2 P ER0 V IH1 ZH AH0 N +SUPERVISOR S UW1 P ER0 V AY2 Z ER0 +SUPERVISOR'S S UW2 P ER0 V AY1 Z ER0 Z +SUPERVISORS S UW2 P ER0 V AY1 Z ER0 Z +SUPERVISORS' S UW1 P ER0 V AY2 Z ER0 Z +SUPERVISORY S UW2 P ER0 V AY1 Z ER0 IY0 +SUPERVOTING S UW2 P ER0 V OW1 T IH0 NG +SUPERWOMAN S UW1 P ER0 W UH2 M AH0 N +SUPERWOMEN S UW1 P ER0 W IH2 M IH0 N +SUPERX S UW1 P ER0 EH2 K S +SUPINE S AH0 P AY1 N +SUPINE(2) S UW1 P AY0 N +SUPINSKI S AH0 P IH1 N S K IY2 +SUPPA S UW1 P AH0 +SUPPER S AH1 P ER0 +SUPPERS S AH1 P ER0 Z +SUPPES S AH1 P S +SUPPLANT S AH0 P L AE1 N T +SUPPLANTED S AH0 P L AE1 N T IH0 D +SUPPLANTING S AH0 P L AE1 N T IH0 NG +SUPPLANTS S AH0 P L AE1 N T S +SUPPLE S AH1 P AH0 L +SUPPLEE S AH1 P L IY2 +SUPPLEMENT S AH1 P L AH0 M AH0 N T +SUPPLEMENT(2) S AH2 P L AH0 M EH1 N T +SUPPLEMENTAL S AH2 P L AH0 M EH1 N T AH0 L +SUPPLEMENTAL(2) S AH2 P L AH0 M EH1 N AH0 L +SUPPLEMENTARY S AH2 P L AH0 M EH1 N T ER0 IY0 +SUPPLEMENTARY(2) S AH2 P L AH0 M EH1 N ER0 IY0 +SUPPLEMENTARY(3) S AH2 P L AH0 M EH1 N T R IY0 +SUPPLEMENTARY(4) S AH2 P L AH0 M EH1 N CH R IY0 +SUPPLEMENTED S AH2 P L AH0 M EH2 N T IH0 D +SUPPLEMENTING S AH1 P L AH0 M AH0 N T IH0 NG +SUPPLEMENTING(2) S AH1 P L AH0 M EH1 N T IH0 NG +SUPPLEMENTS S AH1 P L AH0 M AH0 N T S +SUPPLEMENTS(2) S AH1 P L AH0 M EH1 N T S +SUPPLICANT S AH1 P L AH0 K AH0 N T +SUPPLIED S AH0 P L AY1 D +SUPPLIER S AH0 P L AY1 ER0 +SUPPLIER'S S AH0 P L AY1 ER0 Z +SUPPLIERS S AH0 P L AY1 ER0 Z +SUPPLIERS' S AH0 P L AY1 ER0 Z +SUPPLIES S AH0 P L AY1 Z +SUPPLY S AH0 P L AY1 +SUPPLY'S S AH0 P L AY1 Z +SUPPLYING S AH0 P L AY1 IH0 NG +SUPPORT S AH0 P AO1 R T +SUPPORTABLE S AH0 P AO1 R T AH0 B AH0 L +SUPPORTED S AH0 P AO1 R T IH0 D +SUPPORTER S AH0 P AO1 R T ER0 +SUPPORTERS S AH0 P AO1 R T ER0 Z +SUPPORTING S AH0 P AO1 R T IH0 NG +SUPPORTIVE S AH0 P AO1 R T IH0 V +SUPPORTS S AH0 P AO1 R T S +SUPPOSE S AH0 P OW1 Z +SUPPOSED S AH0 P OW1 Z D +SUPPOSEDLY S AH0 P OW1 Z AH0 D L IY0 +SUPPOSES S AH0 P OW1 Z IH0 Z +SUPPOSING S AH0 P OW1 Z IH0 NG +SUPPOSITION S AH2 P AH0 Z IH1 SH AH0 N +SUPPOSITIONS S AH2 P AH0 Z IH1 SH AH0 N Z +SUPPRESS S AH0 P R EH1 S +SUPPRESSANT S AH0 P R EH1 S AH0 N T +SUPPRESSANTS S AH0 P R EH1 S AH0 N T S +SUPPRESSED S AH0 P R EH1 S T +SUPPRESSES S AH0 P R EH1 S IH0 Z +SUPPRESSING S AH0 P R EH1 S IH0 NG +SUPPRESSION S AH0 P R EH1 SH AH0 N +SUPPRESSOR S AH0 P R EH1 S ER0 +SUPRA S UW1 P R AH0 +SUPRANATIONAL S UW2 P R AH0 N AE1 SH AH0 N AH0 L +SUPREMACIST S UW0 P R EH1 M AH0 S IH0 S T +SUPREMACISTS S UW0 P R EH1 M AH0 S IH0 S T S +SUPREMACY S AH0 P R EH1 M AH0 S IY0 +SUPREME S AH0 P R IY1 M +SUPREME(2) S ER0 P R IY1 M +SUPREMELY S UW0 P R IY1 M AH0 L IY0 +SUPREMES S UW0 P R IY1 M Z +SUPRENANT S UW0 P R EY1 N AH0 N T +SUPRISINGLY S UW2 P R AY1 Z IH0 NG L IY0 +SUPRISINGLY(2) S ER2 P R AY1 Z IH0 NG L IY0 +SUR S ER1 +SURA S UH1 R AH0 +SURACE S UH0 R AA1 S EY0 +SURAT S ER0 AA1 T +SURAT'S S ER0 AA1 T S +SURBAUGH S ER1 B AO0 +SURBER S ER1 B ER0 +SURCEASE S ER2 S IY1 S +SURCHARGE S ER0 CH AA1 R JH +SURCHARGE(2) S ER1 CH AA2 R JH +SURCHARGES S ER1 CH AA2 R JH IH0 Z +SURE SH UH1 R +SURELY SH UH1 R L IY0 +SUREN S UH1 R AH0 N +SURER SH UH1 R ER0 +SURES SH UH1 R Z +SURESH S ER0 EH1 SH +SUREST SH UH1 R IH0 S T +SURETTE S ER0 EH1 T +SURETY SH UH1 R AH0 T IY0 +SURF S ER1 F +SURF'S S ER1 F S +SURFACE S ER1 F AH0 S +SURFACED S ER1 F IH0 S T +SURFACENESS S ER1 F AH0 S N AH0 S +SURFACES S ER1 F AH0 S AH0 Z +SURFACES(2) S ER1 F AH0 S IH0 Z +SURFACING S ER1 F AH0 S IH0 NG +SURFACTANT S ER0 F AE1 K T AH0 N T +SURFBOARD S ER1 F B AO2 R D +SURFBOARDS S ER1 F B AO2 R D Z +SURFED S ER1 F T +SURFEIT S ER1 F AH0 T +SURFER S ER1 F ER0 +SURFERS S ER1 F ER0 Z +SURFING S ER1 F IH0 NG +SURGE S ER1 JH +SURGED S ER1 JH D +SURGEON S ER1 JH AH0 N +SURGEON(2) S ER1 JH IH0 N +SURGEON'S S ER1 JH AH0 N Z +SURGEONS S ER1 JH AH0 N Z +SURGEONS' S ER1 JH IH0 N Z +SURGERIES S ER1 JH ER0 IY0 Z +SURGERY S ER1 JH ER0 IY0 +SURGES S ER1 JH AH0 Z +SURGES(2) S ER1 JH IH0 Z +SURGICAL S ER1 JH IH0 K AH0 L +SURGICAL'S S ER1 JH IH0 K AH0 L Z +SURGICALLY S ER1 JH IH0 K AH0 L IY0 +SURGICALLY(2) S ER1 JH IH0 K L IY0 +SURGING S ER1 JH IH0 NG +SURIANO S UH2 R IY0 AA1 N OW0 +SURINAM S UH2 R AH0 N AA1 M +SURINAME S ER1 IH0 N AA0 M +SURLES S AO1 R AH0 L Z +SURLY S ER1 L IY0 +SURMA S ER1 M AH0 +SURMAN S ER1 M AH0 N +SURMISE S ER0 M AY1 Z +SURMISED S ER0 M AY1 Z D +SURMISES S ER0 M AY1 Z IH0 Z +SURMOUNT S ER0 M AW1 N T +SURMOUNTED S ER0 M AW1 N T IH0 D +SURMOUNTING S ER0 M AW1 N T IH0 NG +SURNAME S ER1 N EY2 M +SURNAMES S ER1 N EY2 M Z +SUROWIEC S ER0 AW1 IY0 K +SURPASS S ER0 P AE1 S +SURPASSED S ER0 P AE1 S T +SURPASSES S ER0 P AE1 S IH0 Z +SURPASSING S ER0 P AE1 S IH0 NG +SURPLUS S ER1 P L AH0 S +SURPLUSES S ER1 P L AH0 S IH0 Z +SURPRENANT S ER1 P R IH0 N AH0 N T +SURPRISE S ER0 P R AY1 Z +SURPRISE(2) S AH0 P R AY1 Z +SURPRISED S ER0 P R AY1 Z D +SURPRISED(2) S AH0 P R AY1 Z D +SURPRISES S ER0 P R AY1 Z IH0 Z +SURPRISES(2) S AH0 P R AY1 Z IH0 Z +SURPRISING S ER0 P R AY1 Z IH0 NG +SURPRISING(2) S AH0 P R AY1 Z IH0 NG +SURPRISINGLY S ER0 P R AY1 Z IH0 NG L IY0 +SURPRISINGLY(2) S AH0 P R AY1 Z IH0 NG L IY0 +SURRATT S AO1 R AH0 T +SURREAL S ER0 IY1 L +SURREALISM S ER0 IY1 L IH0 Z AH0 M +SURREALISM(2) S ER0 IY1 AH0 L IH2 Z AH0 M +SURREALISM'S S ER0 IY1 L IH0 Z AH0 M Z +SURREALISM'S(2) S ER0 IY1 AH0 L IH2 Z AH0 M Z +SURREALISMS S ER0 IY1 L IH0 Z AH0 M Z +SURREALISMS(2) S ER0 IY1 AH0 L IH2 Z AH0 M Z +SURREALISTIC S ER0 IY2 L IH1 S T IH0 K +SURREALISTIC(2) S ER0 IY2 AH0 L IH1 S T IH0 K +SURREBUTTAL S ER1 IH0 B AH0 T AH0 L +SURREBUTTAL(2) S ER1 IY0 B AH0 T AH0 L +SURRELL S AO1 R AH0 L +SURRENCY S AO1 R AH0 N S IY0 +SURRENDER S ER0 EH1 N D ER0 +SURRENDERED S ER0 EH1 N D ER0 D +SURRENDERING S ER0 EH1 N D ER0 IH0 NG +SURRENDERS S ER0 EH1 N D ER0 Z +SURREPTITIOUS S ER2 AH0 P T IH1 SH AH0 S +SURREPTITIOUSLY S ER2 AH0 P T IH1 SH AH0 S L IY0 +SURRETT S AO1 R IH0 T +SURRETTE S ER0 EH1 T +SURREY S ER1 IY0 +SURROGACY S ER1 AH0 G AH0 S IY0 +SURROGATE S ER1 AH0 G AH0 T +SURROGATE(2) S ER1 AH0 G EY2 T +SURROGATES S ER1 AH0 G AH0 T S +SURROGATES(2) S ER1 AH0 G EY2 T S +SURROGATION S ER0 AH0 G EY1 SH AH0 N +SURROUND S ER0 AW1 N D +SURROUNDED S ER0 AW1 N D IH0 D +SURROUNDING S ER0 AW1 N D IH0 NG +SURROUNDINGS S ER0 AW1 N D IH0 NG Z +SURROUNDS S ER0 AW1 N D Z +SURRY S ER1 IY0 +SURTAX S ER1 T AE2 K S +SURTAXES S ER1 T AE2 K S IH0 Z +SURVEIL S ER0 V EY1 L +SURVEILLANCE S ER0 V EY1 L AH0 N S +SURVEILLING S ER0 V EY1 L IH0 NG +SURVEY S ER0 V EY1 +SURVEY(2) S ER1 V EY2 +SURVEY'S S ER0 V EY1 Z +SURVEY'S(2) S ER1 V EY2 Z +SURVEYED S ER0 V EY1 D +SURVEYED(2) S ER1 V EY2 D +SURVEYING S ER0 V EY1 IH0 NG +SURVEYING(2) S ER1 V EY2 IH0 NG +SURVEYMONKEY S ER1 V EY2 M AH1 NG K IY0 +SURVEYOR S ER0 V EY1 ER0 +SURVEYOR(2) S ER1 V EY2 ER0 +SURVEYOR'S S ER0 V EY1 ER0 Z +SURVEYOR'S(2) S ER2 V EY2 ER0 Z +SURVEYORS S ER0 V EY1 ER0 Z +SURVEYORS(2) S ER2 V EY2 ER0 Z +SURVEYS S ER0 V EY1 Z +SURVEYS(2) S ER1 V EY2 Z +SURVIVABILITY S ER0 V AY2 V AH0 B IH1 L IH0 T IY0 +SURVIVABLE S ER0 V AY1 V AH0 B AH0 L +SURVIVAL S ER0 V AY1 V AH0 L +SURVIVALIST S ER0 V AY1 V AH0 L IH0 S T +SURVIVALISTS S ER0 V AY1 V AH0 L IH0 S T S +SURVIVE S ER0 V AY1 V +SURVIVED S ER0 V AY1 V D +SURVIVES S ER0 V AY1 V Z +SURVIVING S ER0 V AY1 V IH0 NG +SURVIVOR S ER0 V AY1 V ER0 +SURVIVOR'S S ER0 V AY1 V ER0 Z +SURVIVORS S ER0 V AY1 V ER0 Z +SUS S AH1 S +SUSA S UW1 S AH0 +SUSAN S UW1 Z AH0 N +SUSAN'S S UW1 Z AH0 N Z +SUSANA S UW0 S AA1 N AH0 +SUSANN S UW2 Z AE1 N +SUSANNA S UW0 Z AE1 N AH0 +SUSANNAH S UW2 S AE1 N AH0 +SUSANNE S UW2 Z AE1 N +SUSCEPTIBILITY S AH0 S EH2 P T AH0 B IH1 L AH0 T IY0 +SUSCEPTIBLE S AH0 S EH1 P T AH0 B AH0 L +SUSETTE S UW2 Z EH1 T +SUSHI S UW1 SH IY0 +SUSI S UW1 S IY0 +SUSIE S UW1 Z IY0 +SUSIE'S S UW1 Z IY0 Z +SUSKI S AH1 S K IY0 +SUSKIND S AH1 S K IH0 N D +SUSKO S AH1 S K OW0 +SUSMAN S AH1 S M AH0 N +SUSONG S AH1 S AO0 NG +SUSPECT S AH0 S P EH1 K T +SUSPECT(2) S AH1 S P EH2 K T +SUSPECT'S S AH0 S P EH1 K T S +SUSPECTED S AH0 S P EH1 K T IH0 D +SUSPECTING S AH0 S P EH1 K T IH0 NG +SUSPECTS S AH0 S P EH1 K T S +SUSPECTS(2) S AH1 S P EH2 K T S +SUSPECTS' S AH1 S P EH2 K T S +SUSPEND S AH0 S P EH1 N D +SUSPENDED S AH0 S P EH1 N D IH0 D +SUSPENDER S AH0 S P EH1 N D ER0 +SUSPENDERS S AH0 S P EH1 N D ER0 Z +SUSPENDING S AH0 S P EH1 N D IH0 NG +SUSPENDS S AH0 S P EH1 N D Z +SUSPENSE S AH0 S P EH1 N S +SUSPENSEFUL S AH0 S P EH1 N S F AH0 L +SUSPENSION S AH0 S P EH1 N SH AH0 N +SUSPENSIONS S AH0 S P EH1 N SH AH0 N Z +SUSPICION S AH0 S P IH1 SH AH0 N +SUSPICIONS S AH0 S P IH1 SH AH0 N Z +SUSPICIOUS S AH0 S P IH1 SH AH0 S +SUSPICIOUSLY S AH0 S P IH1 SH AH0 S L IY0 +SUSQUEHANNA S UW2 S K W EH0 HH AE1 N AH0 +SUSQUEHANNA'S S UW2 S K W EH0 HH AE1 N AH0 Z +SUSS S AH1 S +SUSSER S AH1 S ER0 +SUSSEX S AH1 S IH0 K S +SUSSKIND S AH1 S K IH0 N D +SUSSMAN S AH1 S M AH0 N +SUSSWEIN S AH1 S W IY2 N +SUSSWEIN(2) S AH1 S W AY2 N +SUSTAIN S AH0 S T EY1 N +SUSTAINABILITY S AH0 S T EY2 N AH0 B IH1 L IH0 T IY0 +SUSTAINABLE S AH0 S T EY1 N AH0 B AH0 L +SUSTAINED S AH0 S T EY1 N D +SUSTAINING S AH0 S T EY1 N IH0 NG +SUSTAINS S AH0 S T EY1 N Z +SUSTAITA S UW0 S T EY1 T AH0 +SUSTENANCE S AH1 S T AH0 N AH0 N S +SUSTEREN S AH0 S T EH1 R AH0 N +SUSUMU S UW2 S UW1 M UW0 +SUSY S UW1 Z IY0 +SUTCH S AH1 CH +SUTCLIFF S AH1 T K L IH0 F +SUTCLIFFE S AH1 T K L IH0 F +SUTER S UW1 T ER0 +SUTERA S UW0 T EH1 R AH0 +SUTFIN S AH1 T F IH0 N +SUTHARD S AH1 TH ER0 D +SUTHER S AH1 DH ER0 +SUTHERLAND S AH1 DH ER0 L AH0 N D +SUTHERLAND'S S AH1 DH ER0 L AH0 N D Z +SUTHERLIN S AH1 TH ER0 L IH0 N +SUTHERLIN(2) S AH1 DH ER0 L IH0 N +SUTHERS S AH1 DH ER0 Z +SUTLEY S AH1 T L IY0 +SUTLIFF S AH1 T L IH0 F +SUTNER S AH1 T N ER0 +SUTNICK S AH1 T N IH0 K +SUTO S UW1 T OW0 +SUTOR S UW1 T ER0 +SUTPHEN S AH1 T F AH0 N +SUTPHIN S AH1 T F IH0 N +SUTRO S UW1 T R OW0 +SUTRO'S S UW1 T R OW0 Z +SUTTER S AH1 T ER0 +SUTTLE S AH1 T AH0 L +SUTTLES S AH1 T AH0 L Z +SUTTMEIER S AH1 T M AY2 R +SUTTON S AH1 T AH0 N +SUTTON'S S AH1 T AH0 N Z 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AH0 N Z +SWEDES S W IY1 D Z +SWEDISH S W IY1 D IH0 SH +SWEDLUND S W EH1 D L AH0 N D +SWEEDEN S W IY1 D AH0 N +SWEEN S W IY1 N +SWEENEY S W IY1 N IY0 +SWEENY S W IY1 N IY0 +SWEEP S W IY1 P +SWEEPER S W IY1 P ER0 +SWEEPERS S W IY1 P ER0 Z +SWEEPING S W IY1 P IH0 NG +SWEEPS S W IY1 P S +SWEEPSTAKE S W IY1 P S T EY2 K +SWEEPSTAKES S W IY1 P S T EY2 K S +SWEERS S W IH1 R Z +SWEET S W IY1 T +SWEETEN S W IY1 T AH0 N +SWEETENED S W IY1 T AH0 N D +SWEETENER S W IY1 T AH0 N ER0 +SWEETENER(2) S W IY1 T N ER0 +SWEETENERS S W IY1 T AH0 N ER0 Z +SWEETENERS(2) S W IY1 T N ER0 Z +SWEETENING S W IY1 T AH0 N IH0 NG +SWEETENING(2) S W IY1 T N IH0 NG +SWEETENS S W IY1 T AH0 N Z +SWEETER S W IY1 T ER0 +SWEETEST S W IY1 T AH0 S T +SWEETHEART S W IY1 T HH AA2 R T +SWEETHEARTS S W IY1 T HH AA2 R T S +SWEETIE S W IY1 T IY0 +SWEETING S W IY1 T IH0 NG +SWEETLAND S W IY1 T L AH0 N D +SWEETLY S W IY1 T L IY0 +SWEETMAN S W IY1 T M AH0 N +SWEETNESS S W IY1 T N AH0 S +SWEETON S W IY1 T AH0 N +SWEETS S W IY1 T S +SWEETSER S W IY1 T S ER0 +SWEETWATER S W IY1 T W AA2 T ER0 +SWEEZEY S W IY1 Z IY0 +SWEEZY S W IY1 Z IY0 +SWEGER S W IY1 G ER0 +SWEHLA S W EH1 L AH0 +SWEIG S W AY1 G +SWEIGARD S W AY1 G ER0 D +SWEIGART S W IY1 G AA0 R T +SWEIGERT S W AY1 G ER0 T +SWEITZER S W AY1 T Z ER0 +SWELL S W EH1 L +SWELLED S W EH1 L D +SWELLING S W EH1 L IH0 NG +SWELLS S W EH1 L Z +SWELTER S W EH1 L T ER0 +SWELTERED S W EH1 L T ER0 D +SWELTERING S W EH1 L T ER0 IH0 NG +SWELTERS S W EH1 L T ER0 Z +SWELTRY S W EH1 L T R IY0 +SWEM S W EH1 M +SWENDSEN S W EH1 N D S AH0 N +SWENET S W EH1 N AH0 T +SWENEY S W EH1 N IY0 +SWENSEN S W EH1 N S AH0 N +SWENSEN'S S W EH1 N S AH0 N Z +SWENSON S W EH1 N S AH0 N +SWEPT S W EH1 P T +SWERDLOW S W ER1 D L AW0 +SWERGOLD S W ER1 G OW2 L D +SWERLING S W ER1 L IH0 NG +SWERVE S W ER1 V +SWERVED S W ER1 V D +SWETE S W IY1 T +SWETLAND S W EH1 T L AH0 N D +SWETNAM S W EH1 T N AH0 M +SWETT S W EH1 T +SWETZ S W EH1 T S +SWEZEY S W EH1 Z IY0 +SWIATEK S V IY0 AA1 T EH0 K +SWIATKOWSKI S V IY0 AH0 T K AO1 F S K IY0 +SWICEGOOD S W IH1 S IH0 G UH0 D +SWICK S W IH1 K +SWICKARD S W IH1 K ER0 D +SWIDER S W AY1 D ER0 +SWIDERSKI S V IH0 D ER1 S K IY0 +SWIDERSKI(2) S W IH0 D ER1 S K IY0 +SWIECH S W IY1 CH +SWIER S W AY1 ER0 +SWIFT S W IH1 F T +SWIFT'S S W IH1 F T S +SWIFTER S W IH1 F T ER0 +SWIFTEST S W IH1 F T AH0 S T +SWIFTLY S W IH1 F T L IY0 +SWIFTNESS S W IH1 F T N AH0 S +SWIFTS S W IH1 F T S +SWIG S W IH1 G +SWIGART S W IH1 G AA2 R T +SWIGER S W AY1 G ER0 +SWIGERT S W IH1 G ER0 T +SWIGGUM S W IH1 G AH0 M +SWIHART S W IH1 HH AA0 R T +SWILL S W IH1 L +SWILLEY S W IH1 L IY0 +SWILLING S W IH1 L IH0 NG +SWILLINGER S W IH1 L IH0 NG ER0 +SWIM S W IH1 M +SWIMMER S W IH1 M ER0 +SWIMMERS S W IH1 M ER0 Z +SWIMMING S W IH1 M IH0 NG +SWIMS S W IH1 M Z +SWIMSUIT S W IH1 M S UW2 T +SWIMSUITS S W IH1 M S UW2 T S +SWIMWEAR S W IH1 M W EH2 R +SWINBURNE'S S W IH1 N B ER0 N Z +SWINBURNES S W IH1 N B ER0 N Z +SWINDALL S W IH1 N D AH0 L +SWINDELL S W IH1 N D AH0 L +SWINDLE S W IH1 N D AH0 L +SWINDLED S W IH1 N D AH0 L D +SWINDLEHURST S W IH1 N D AH0 L HH ER0 S T +SWINDLER S W IH1 N D AH0 L ER0 +SWINDLER(2) S W IH1 N D L ER0 +SWINDLERS S W IH1 N D L ER0 Z +SWINDLES S W IH1 N D AH0 L Z +SWINDLING S W IH1 N D L IH0 NG +SWINE S W AY1 N +SWINEFORD S W IH1 N IH0 F ER0 D +SWINEFORD(2) S W AY1 N IH0 F ER0 D +SWINEHART S W AY1 N HH AA2 R T +SWINEY S W AY1 N IY0 +SWINFORD S W IH1 N F ER0 D +SWING S W IH1 NG +SWINGER S W IH1 NG ER0 +SWINGERS S W IH1 NG ER0 Z +SWINGING S W IH1 NG IH0 NG +SWINGLE S W IH1 NG G AH0 L +SWINGLER S W IH1 NG G AH0 L ER0 +SWINGLER(2) S W IH1 NG G L ER0 +SWINGLEY S W IH1 NG G L IY0 +SWINGS S W IH1 NG Z +SWINK S W IH1 NG K +SWINNEY S W IH1 N IY0 +SWINSON S W IH1 N S AH0 N +SWINT S W IH1 N T +SWINTON S W IH1 N T AH0 N +SWIPE S W AY1 P +SWIPED S W AY1 P T +SWIPES S W AY1 P S +SWIPING S W AY1 P IH0 NG +SWIRE S W AY1 R +SWIRL S W ER1 L +SWIRLED S W ER1 L D +SWIRLING S W ER1 L IH0 NG +SWIRLS S W ER1 L Z +SWIRSKY S W ER1 S K IY0 +SWISH S W IH1 SH +SWISHED S W IH1 SH T +SWISHER S W IH1 SH ER0 +SWISHES S W IH1 SH IH0 Z +SWISS S W IH1 S +SWISSAIR S W IH0 S EH1 R +SWISSHELM S W IH1 SH IH0 L M +SWISSHELM(2) S W IH1 S HH EH0 L M +SWISTAK S W IH1 S T AH0 K +SWITAJ S W IH0 T AY1 +SWITALA S W IH0 T AA1 L AH0 +SWITALSKI S W IH0 T AA1 L S K IY0 +SWITCH S W IH1 CH +SWITCHBLADE S W IH1 CH B L EY2 D +SWITCHBLADES S W IH1 CH B L EY2 D Z +SWITCHBOARD S W IH1 CH B AO2 R D +SWITCHBOARDS S W IH1 CH B AO2 R D Z +SWITCHED S W IH1 CH T +SWITCHER S W IH1 CH ER0 +SWITCHERS S W IH1 CH ER0 Z +SWITCHES S W IH1 CH AH0 Z +SWITCHES(2) S W IH1 CH IH0 Z +SWITCHING S W IH1 CH IH0 NG +SWITZER S W IH1 T S ER0 +SWITZERLAND S W IH1 T S ER0 L AH0 N D +SWITZERLAND'S S W IH1 T S ER0 L AH0 N D Z +SWIVEL S W IH1 V AH0 L +SWIVELED S W IH1 V AH0 L D +SWIVELING S W IH1 V AH0 L IH0 NG +SWIVELING(2) S W IH1 V L IH0 NG +SWIVELS S W IH1 V AH0 L Z +SWOBODA S W OW0 B OW1 D AH0 +SWOFFORD S W AA1 F ER0 D +SWOGGER S W AA1 G ER0 +SWOLLEN S W OW1 L AH0 N +SWONGER S W AO1 NG ER0 +SWOON S W UW1 N +SWOONED S W UW1 N D +SWOONING S W UW1 N IH0 NG +SWOOP S W UW1 P +SWOOPE S W UW1 P +SWOOPED S W UW1 P T +SWOOPING S W UW1 P IH0 NG +SWOOPS S W UW1 P S +SWOOSH S W UW1 SH +SWOOSHED S W UW1 SH T +SWOPE S W OW1 P +SWOPES S W OW1 P S +SWOR S W ER1 +SWORD S AO1 R D +SWORDFISH S AO1 R D F IH2 SH +SWORDFISH'S S AO1 R D F IH2 SH IH0 Z +SWORDLIKE S AO1 R D L AY2 K +SWORDPLAY S AO1 R D P L EY2 +SWORDPLAYS S AO1 R D P L EY2 Z +SWORDS S AO1 R D Z +SWORE S W AO1 R +SWORN S W AO1 R N +SWOVELAND S W OW1 V L AH0 N D +SWOYER S W OY1 ER0 +SWUM S W AH1 M +SWUNG S W AH1 NG +SWYERS S W AY1 ER0 Z +SWYGERT S W IH1 G ER0 T +SWYTO S W IY1 T OW0 +SY S AY1 +SYBASE S AY1 B EY2 S +SYBASE'S S AY1 B EY1 S IH0 Z +SYBERT S IH1 B ER0 T +SYBIL S IH1 B IH0 L +SYBILLA S IH0 B IH1 L AH0 +SYBILLE S IH1 B IH0 L +SYBRON S IH1 B R AH0 N +SYCAMORE S IH1 K AH0 M AO2 R +SYCARA S IH0 K AA1 R AH0 +SYCOPHANTIC S IH2 K AH0 F AE1 N T IH0 K +SYD S IH1 D +SYDELL S AY2 D EH1 L +SYDERS S AY1 D ER0 Z +SYDERS' S AY1 D ER0 Z +SYDNEY S IH1 D N IY0 +SYDNEY'S S IH1 D N IY0 Z +SYDNOR S IH1 D N ER0 +SYDOW S IH1 D OW0 +SYED S AY1 D +SYERS S AY1 ER0 Z +SYFERT S IH1 F ER0 T +SYGMA S IH1 G M AH0 +SYKES S AY1 K S +SYKORA S IH0 K AO1 R AH0 +SYLER S AY1 L ER0 +SYLLA S IH1 L AH0 +SYLLABIC S AH0 L AE1 B IH0 K +SYLLABLE S IH1 L AH0 B AH0 L +SYLLABLES S IH1 L AH0 B AH0 L Z +SYLLABUS S IH1 L AH0 B AH0 S +SYLMAR S IH1 L M AA0 R +SYLPH S IH1 L F +SYLPHIDE S IH1 L F IH0 D +SYLVA S IH1 L V AH0 +SYLVAIN S IH0 L V EY1 N +SYLVAN S IH1 L V AH0 N +SYLVANA S IH0 L V AE1 N AH0 +SYLVANIA S IH0 L V EY1 N IY0 AH0 +SYLVANUS S IH1 L V AH0 N IH0 S +SYLVEST S IH0 L V EH1 S T +SYLVESTER S IH0 L V EH1 S T ER0 +SYLVESTRE S IH0 L V EH1 S T ER0 +SYLVIA S IH1 L V IY0 AH0 +SYLVIA'S S IH1 L V IY0 AH0 Z +SYLVIE S IH1 L V IY0 +SYLVIO S IH1 L V IY0 OW0 +SYLVIO'S S IH1 L V IY0 OW0 Z +SYLVITE S IH1 L V AY2 T +SYM S IH1 M +SYMANSKI S IH0 M AE1 N S K IY0 +SYMANTEC S IH0 M AE1 N T EH2 K +SYMANTEC'S S IH0 M AE1 N T EH2 K S +SYMBION S IH1 M B IY0 AH0 N +SYMBION'S S IH1 M B IY0 AH0 N Z +SYMBIOSIS S IH2 M B AY0 OW1 S AH0 S +SYMBIOTIC S IH2 M B IY0 AA1 T IH0 K +SYMBOL S IH1 M B AH0 L +SYMBOL'S S IH1 M B AH0 L Z +SYMBOLIC S IH0 M B AA1 L IH0 K +SYMBOLICALLY S IH0 M B AA1 L IH0 K AH0 L IY0 +SYMBOLICALLY(2) S IH0 M B AA1 L IH0 K L IY0 +SYMBOLICS S IH0 M B AA1 L IH0 K S +SYMBOLISM S IH1 M B AH0 L IH2 Z AH0 M +SYMBOLISTS S IH1 M B AH0 L AH0 S T S +SYMBOLISTS(2) S IH1 M B AH0 L IH0 S T S +SYMBOLIZE S IH1 M B AH0 L AY2 Z +SYMBOLIZED S IH1 M B AH0 L AY2 Z D +SYMBOLIZES S IH1 M B AH0 L AY2 Z IH0 Z +SYMBOLIZING S IH1 M B AH0 L AY2 Z IH0 NG +SYMBOLS S IH1 M B AH0 L Z +SYME S AY1 M +SYMES S AY1 M Z +SYMINGTON S IH1 M IH0 NG T AH0 N +SYMMES S IH1 M Z +SYMMETRIC S AH0 M EH1 T R IH0 K +SYMMETRICAL S AH0 M EH1 T R IH0 K AH0 L +SYMMETRICALLY S AH0 M EH1 T R IH0 K L IY0 +SYMMETRY S IH1 M AH0 T R IY0 +SYMMONDS S IH1 M AH0 N D Z +SYMMS S IH1 M Z +SYMON S IH1 M AH0 N +SYMONDS S IH1 M AH0 N D Z +SYMONS S IH1 M AH0 N Z +SYMPATHETIC S IH2 M P AH0 TH EH1 T IH0 K +SYMPATHETICALLY S IH2 M P AH0 TH EH1 T IH0 K AH0 L IY0 +SYMPATHETICALLY(2) S IH2 M P AH0 TH EH1 T IH0 K L IY0 +SYMPATHIES S IH1 M P AH0 TH IY0 Z +SYMPATHIZE S IH1 M P AH0 TH AY2 Z +SYMPATHIZED S IH1 M P AH0 TH AY2 Z D +SYMPATHIZER S IH1 M P AH0 TH AY2 Z ER0 +SYMPATHIZERS S IH1 M P AH0 TH AY2 Z ER0 Z +SYMPATHIZES S IH1 M P AH0 TH AY2 Z IH0 Z +SYMPATHIZING S IH1 M P AH0 TH AY2 Z IH0 NG +SYMPATHY S IH1 M P AH0 TH IY0 +SYMPHONIC S IH0 M F AA1 N IH0 K +SYMPHONIES S IH1 M F AH0 N IY0 Z +SYMPHONY S IH1 M F AH0 N IY0 +SYMPHONY'S S IH1 M F AH0 N IY0 Z +SYMPOSIUM S IH0 M P OW1 Z IY0 AH0 M +SYMPOSIUMS S IH0 M P OW1 Z IY0 AH0 M Z +SYMPSON S IH1 M P S AH0 N +SYMPTOM S IH1 M P T AH0 M +SYMPTOMATIC S IH2 M P T AH0 M AE1 T IH0 K +SYMPTOMS S IH1 M P T AH0 M Z +SYMS S IH1 M Z +SYMTRON S IH1 M T R AA2 N +SYN S IH1 N +SYNA S IH1 N AH0 +SYNAGOGUE S IH1 N AH0 G AO2 G +SYNAGOGUES S IH1 N AH0 G AO2 G Z +SYNALLOY S IH0 N AE1 L OY0 +SYNALLOY'S S IH0 N AE1 L OY0 Z +SYNAN S AY1 N AH0 N +SYNAPSE S IH1 AE0 P S +SYNAPSES S IH1 AE0 P S IH0 Z +SYNAPTIC S IH2 N AE1 P T IH0 K +SYNAR S IH1 N AA0 R +SYNAR(2) S AY1 N AA0 R +SYNBIOTICS S IH2 N B IY0 AA1 T IH0 K S +SYNBIOTICS(2) S IH2 M B IY0 AA1 T IH0 K S +SYNC S IH1 NG K +SYNCH S IH1 N CH +SYNCHRO S IH1 NG K R OW0 +SYNCHRONIC S IH0 NG K R AA1 N IH0 K +SYNCHRONICITY S IH0 NG K R AH0 N IH1 S IH0 T IY0 +SYNCHRONIZATION S IH2 NG K R AH0 N AH0 Z EY1 SH AH0 N +SYNCHRONIZE S IH1 NG K R AH0 N AY2 Z +SYNCHRONIZED S IH1 NG K R AH0 N AY2 Z D +SYNCHRONIZES S IH1 NG K R AH0 N AY2 Z IH0 Z +SYNCHRONIZING S IH1 NG K R AH0 N AY2 Z IH0 NG +SYNCHRONOUS S IH1 NG K R AH0 N AH0 S +SYNCOM S IH1 NG K AA0 M +SYNCOPAL S IH1 N K AH0 P AH2 +SYNCOPATE S IH1 NG K AH0 P EY2 T +SYNCOPATED S IH1 NG K AH0 P EY2 T IH0 D +SYNCOPATION S IH1 NG K AH0 P EY2 SH AH0 N +SYNCOPE S IH1 N K AH0 P IY2 +SYNCOR S IH1 N K AO2 R +SYNDER S IH1 N D ER0 +SYNDICATE S IH1 N D IH0 K AH0 T +SYNDICATE(2) S IH1 N D AH0 K EY2 T +SYNDICATE'S S IH1 N D IH0 K AH0 T S +SYNDICATED S IH1 N D IH0 K EY2 T IH0 D +SYNDICATES S IH1 N D IH0 K EY2 T S +SYNDICATES(2) S IH1 N D IH0 K AH0 T S +SYNDICATING S IH1 N D IH0 K EY2 T IH0 NG +SYNDICATION S IH2 N D IH0 K EY1 SH AH0 N +SYNDICATIONS S IH2 N D IH0 K EY1 SH AH0 N Z +SYNDICATOR S IH1 N D IH0 K EY2 T ER0 +SYNDICATORS S IH1 N D IH0 K EY2 T ER0 Z +SYNDICATS S IH1 N D IH0 K IH2 T S +SYNDRICH S IH1 D R IH0 CH +SYNDROME S IH1 N D R OW2 M +SYNDROMES S IH1 N D R OW2 M Z +SYNERGEN S IH1 N ER0 JH EH2 N +SYNERGEN'S S IH1 N ER0 JH EH2 N Z +SYNERGETIC S IH0 N ER0 JH EH1 T IH0 K +SYNERGIES S IH1 N ER0 JH IY0 Z +SYNERGISM S IH1 N ER0 JH IH2 Z AH0 M +SYNERGISTIC S IH2 N ER0 JH IH1 S T IH0 K +SYNERGY S IH1 N ER0 JH IY0 +SYNERGY'S S IH1 N ER0 JH IY0 Z +SYNGMAN S IH1 NG M AH0 N +SYNHORST S IH1 N HH AO2 R S T +SYNNOTT S IH1 N AH0 T +SYNOD S IH1 N AH0 D +SYNOD'S S IH1 N AH0 D Z +SYNONYM S IH1 N AH0 N IH2 M +SYNONYMOUS S AH0 N AA1 N AH0 M AH0 S +SYNONYMOUSLY S AH0 N AA1 N AH0 M AH0 S L IY0 +SYNONYMS S IH1 N AH0 N IH2 M S +SYNOPSIS S IH0 N AA1 P S IH0 S +SYNOPTIC S IH0 N AA1 P T IH0 K +SYNOPTICS S IH0 N AA1 P T IH0 K S +SYNOVUS S AH0 N OW1 V AH0 S +SYNOVUS(2) S AY2 N OW1 V AH0 S +SYNTACTIC S IH2 N T AE1 K T IH0 K +SYNTAX S IH1 N T AE2 K S +SYNTECH S IH1 N T EH2 K +SYNTEX S IH1 N T EH2 K S +SYNTEX'S S IH1 N T EH0 K S IH0 Z +SYNTHESES S IH1 N TH AH0 S IY2 S +SYNTHESIS S IH1 N TH AH0 S AH0 S +SYNTHESIZE S IH1 N TH AH0 S AY2 Z +SYNTHESIZED S IH1 N TH IH0 S AY2 Z D +SYNTHESIZER S IH1 N TH AH0 S AY2 Z ER0 +SYNTHESIZERS S IH1 N TH AH0 S AY2 Z ER0 Z +SYNTHESIZING S IH1 N TH AH0 S AY2 Z IH0 NG +SYNTHETIC S IH0 N TH EH1 T IH0 K +SYNTHETICALLY S IH0 N TH EH1 T IH0 K L IY0 +SYNTHETICS S IH0 N TH EH1 T IH0 K S +SYNTREX S IH1 N T R AH0 K S +SYP S AY1 P +SYP(2) EH1 S W AY1 P IY1 +SYPHER S IH1 F ER0 +SYPHERS S IH1 F ER0 Z +SYPHILIS S IH1 F AH0 L IH0 S +SYPHON S AY1 F AH0 N +SYPNIEWSKI S IH0 P N IY0 EH1 F S K IY0 +SYPNIEWSKI(2) S IH0 P N UW1 S K IY0 +SYPOLT S IH1 P OW0 L T +SYRACUSE S IH1 R AH0 K Y UW2 Z +SYREK S IH1 R IH0 K +SYRIA S IH1 R IY0 AH0 +SYRIA'S S IH1 R IY0 AH0 Z +SYRIAN S IH1 R IY0 AH0 N +SYRIANS S IH1 R IY0 AH0 N Z +SYRING S AY1 R IH0 NG +SYRINGE S ER0 IH1 N JH +SYRINGE(2) S IH1 R IH0 N JH +SYRINGES S ER0 IH1 N JH AH0 Z +SYRON S AY1 R AH0 N +SYRUP S ER1 AH0 P +SYRUP(2) S IH1 R AH0 P +SYRUPS S ER1 AH0 P S +SYSCO S IH1 S K OW0 +SYSCON S AY1 S K AH0 N +SYSCON'S S AY1 S K AH0 N Z +SYSTEM S IH1 S T AH0 M +SYSTEM'S S IH1 S T AH0 M Z +SYSTEMAT S IH1 S T AH0 M AE0 T +SYSTEMATIC S IH2 S T AH0 M AE1 T IH0 K +SYSTEMATICALLY S IH2 S T AH0 M AE1 T IH0 K L IY0 +SYSTEMATICS S IH2 S T AH0 M AE1 T IH0 K S +SYSTEMHOUSE S IH1 S T AH0 M HH AW2 S +SYSTEMHOUSE'S S IH1 S T AH0 M HH AW2 S IH0 Z +SYSTEMIC S IH0 S T EH1 M IH0 K +SYSTEMICALLY S AH0 S T EH1 M IH0 K L IY0 +SYSTEMIX S IH1 S T IH0 M IH0 K S +SYSTEMIX(2) S IH2 S T EH1 M IH0 K S +SYSTEMONE S IH1 S T AH0 M OW2 N +SYSTEMS S IH1 S T AH0 M Z +SYSTEMS' S IH1 S T AH0 M Z +SYSTEMWIDE S IH1 S T AH0 M W AY2 D +SYSTOLIC S IH0 S T AO1 L IH0 K +SYSTRAN S AY1 S T R AE2 N +SYSTRAN(2) S IH1 S T R AE2 N +SYTSMA S IH1 T S M AH0 +SYVERSON S IH1 V ER0 S AH0 N +SYVERTSEN S IH1 V ER0 T S AH0 N +SZABO SH AA1 B OW0 +SZAFRAN SH AA1 F R AH0 N +SZAFRANSKI SH AH0 F R AE1 N S K IY0 +SZALAY SH AA1 L AY0 +SZALKOWSKI SH AH0 L K AO1 F S K IY0 +SZANTO SH AE1 N T OW0 +SZAREK SH AA1 R EH0 K +SZATKOWSKI SH AH0 T K AO1 F S K IY0 +SZCZECH SH EH1 K +SZCZEPANIAK SH IH0 P AE1 N IY0 AE0 K +SZCZEPANIK SH IH0 P AE1 N IH0 K +SZCZEPANSKI SH IH0 P AE1 N S K IY0 +SZCZERBA SH ER1 B AH0 +SZCZESNIAK SH EH1 Z N IY0 AE0 K +SZCZESNY SH EH1 Z N IY0 +SZCZYGIEL SH IH0 G IY1 L +SZE SH IY1 +SZE(2) SH EY1 +SZE-DI SH EY1 D IY1 +SZEKELY SH IY1 K L IY0 +SZELIGA SH IH0 L AY1 G AH0 +SZETO SH IY1 T OW0 +SZEWCZYK SH UW1 CH IH0 K +SZILAGYI SH IH0 L AA1 G IY0 +SZILARD S IH1 L ER0 D +SZILARD(2) Z IH1 L ER0 D +SZOKE SH OW1 K +SZOSTAK SH AA1 S T AH0 K +SZOSTEK SH AA1 S T EH0 K +SZOT SH AA1 T +SZOTT SH AA1 T +SZUBA SH UW1 B AH0 +SZUCH SH AH1 CH +SZUCS SH AH1 K S +SZUMSKI SH AH1 M S K IY0 +SZWED SH V EH1 D +SZYDLOWSKI SH IH0 D L AO1 F S K IY0 +SZYMANOWSKI SH IH0 M AH0 N AO1 F S K IY0 +SZYMANSKI SH IH0 M AE1 N S K IY0 +SZYMBORSKI SH IH0 M B AO1 R S K IY0 +SZYMCZAK SH IH1 M CH AE0 K +T T IY1 +T'ANG T AE1 NG +T'S T IY1 Z +T-BONE T IY1 B OW2 N +T-LAM T IY1 L AE1 M +T-MOBILE T IY1 M OW1 B IY0 L +T-SHIRT T IY1 S ER2 T +T-SHIRTS T IY1 S ER2 T S +T. T IY1 +T.'S T IY1 Z +T.S T IY1 Z +TA T AA1 +TAAFFE T AA1 F +TAB T AE1 B +TABACALERA T AH0 B AE2 K AH0 L EH1 R AH0 +TABACHNECK T AH0 B AA1 CH N EH2 K +TABAK T AE1 B AE0 K +TABAK(2) T AH0 B AE1 K +TABAKA T AA0 B AA1 K AH0 +TABAR T AA0 B AA1 R +TABARES T AA0 B AA1 R EH0 S +TABASCO T AH0 B AE1 S K OW0 +TABB T AE1 B +TABBERT T AE1 B ER0 T +TABBING T AE1 B IH0 NG +TABBY T AE1 B IY0 +TABER T EY1 B ER0 +TABERNACLE T AE1 B ER0 N AE2 K AH0 L +TABITHA T AE1 B IH0 TH AH0 +TABLATURE T AE1 B L AH0 CH ER0 +TABLE T EY1 B AH0 L +TABLE'S T EY1 B AH0 L Z +TABLEAU T AH0 B L OW1 +TABLEAUX T AH0 B L OW1 +TABLECLOTH T EY1 B AH0 L K L AO2 TH +TABLECLOTHS T EY1 B AH0 L K L AO2 TH S +TABLED T EY1 B AH0 L D +TABLER T EY1 B AH0 L ER0 +TABLER(2) T EY1 B L ER0 +TABLES T EY1 B AH0 L Z +TABLESPOON T EY1 B AH0 L S P UW2 N +TABLESPOONS T EY1 B AH0 L S P UW2 N Z +TABLET T AE1 B L AH0 T +TABLETOP T EY1 B AH0 L T AA2 P +TABLETS T AE1 B L AH0 T S +TABLEWARE T EY1 B AH0 L W EH2 R +TABLING T EY1 B AH0 L IH0 NG +TABLING(2) T EY1 B L IH0 NG +TABLOID T AE1 B L OY0 D +TABLOIDIZATION T AE2 B L OY0 D AH0 Z EY1 SH AH0 N +TABLOIDS T AE1 B L OY0 D Z +TABONE T AA1 B OW0 N +TABOO T AE0 B UW1 +TABOOS T AE0 B UW1 Z +TABOR T EY1 B ER0 +TABOR'S T EY1 B ER0 Z +TABORN T AE1 B ER0 N +TABRON T AE1 B R AH0 N +TABS T AE1 B Z +TABUCHI T AA2 B UW1 CH IY0 +TABULATE T AE1 B Y AH0 L EY2 T +TABULATED T AE1 B Y AH0 L EY2 T IH0 D +TABULATING T AE1 B Y AH0 L EY2 T IH0 NG +TABULATION T AE2 B Y AH0 L EY1 SH AH0 N +TABULATIONS T AE2 B Y AH0 L EY1 SH AH0 N Z +TABULATURE T AE1 B Y AH0 L AH0 CH ER0 +TAC T IY1 EY1 S IY1 +TAC(2) T AE1 K +TACEY T EY1 S IY0 +TACHYCARDIA T AA2 K IY0 K AA1 R D IY2 AH0 +TACIT T AE1 S IH0 T +TACITA T AA0 CH IY1 T AH0 +TACITLY T AE1 S IH0 T L IY0 +TACITURN T AE1 S IH0 T ER2 N +TACK T AE1 K +TACKE T AE1 K +TACKED T AE1 K T +TACKER T AE1 K ER0 +TACKETT T AE1 K IH0 T +TACKING T AE1 K IH0 NG +TACKITT T AE1 K IH0 T +TACKLE T AE1 K AH0 L +TACKLED T AE1 K AH0 L D +TACKLES T AE1 K AH0 L Z +TACKLING T AE1 K L IH0 NG +TACKLING(2) T AE1 K AH0 L IH0 NG +TACKS T AE1 K S +TACKY T AE1 K IY0 +TACO T AA1 K OW0 +TACOMA T AH0 K OW1 M AA0 +TACOMA'S T AH0 K OW1 M AH0 Z +TACOS T AA1 K OW0 Z +TACT T AE1 K T +TACTFUL T AE1 K T F AH0 L +TACTFULLY T AE1 K T F AH0 L IY0 +TACTIC T AE1 K T IH0 K +TACTICAL T AE1 K T IH0 K AH0 L +TACTICALLY T AE1 K T IH0 K AH0 L IY0 +TACTICIAN T AE0 K T IH1 SH AH0 N +TACTICIANS T AE0 K T IH1 SH AH0 N Z +TACTICS T AE1 K T IH0 K S +TACTILE T AE1 K T IH0 L +TACTILE(2) T AE1 K T AY2 L +TACTLESS T AE1 K T L AH0 S +TACY T EY1 S IY0 +TAD T AE1 D +TADA T AA1 D AH0 +TADASHI T AA2 D AA1 SH IY0 +TADD T AE1 D +TADDEI T AE1 D AY0 +TADDEO T AA1 D IY0 OW0 +TADDY T AE1 D IY0 +TADEUSZ T AE1 D IY0 UW0 Z +TADIC T AE1 D IH0 K +TADLOCK T AE1 D L AH0 K +TADPOLE T AE1 D P OW2 L +TADPOLES T AE1 D P OW2 L Z +TADROS T EY1 D R OW0 Z +TADYCH T AA1 D IH0 HH +TAE T EY1 +TAE(2) T AY1 +TAEGU T EY1 G UW0 +TAEKWONDO T AE1 K W AA2 N D OW1 +TAEKWONDO(2) T AY0 K W AA1 N D OW0 +TAEWOO T AY1 W UW0 +TAFARO T AH0 F AA1 R OW0 +TAFEL T AE1 F AH0 L +TAFF T AE1 F +TAFFE T AE1 F +TAFFEL T AE1 F AH0 L +TAFFETA T AE1 F AH0 T AH0 +TAFFY T AE1 F IY0 +TAFLINGER T EY1 F AH0 L IH0 NG ER0 +TAFLINGER(2) T EY1 F L IH0 NG ER0 +TAFOLLA T AH0 F AA1 L AH0 +TAFOYA T AA0 F OY1 AH0 +TAFT T AE1 F T +TAFT'S T AE1 F T S +TAG T AE1 G +TAGALOG T AE1 G AH0 L AA2 G +TAGAMET T AE1 G AH0 M EH1 T +TAGANKA T AH0 G AA1 NG K AH0 +TAGER T EY1 G ER0 +TAGG T AE1 G +TAGGART T AE1 G ER0 T +TAGGART'S T AE1 G ER0 T S +TAGGE T AE1 G +TAGGED T AE1 G D +TAGGERT T AE1 G ER0 T +TAGGING T AE1 G IH0 NG +TAGLE T EY1 G AH0 L +TAGLIAFERRI T AA0 G L Y AA0 F EH1 R IY0 +TAGLIERI T AA0 G L IH1 R IY0 +TAGLINE T AE1 G L AY2 N +TAGOUT T AE1 G AW2 T +TAGS T AE1 G Z +TAGUE T AA1 G +TAHER T EY1 ER0 +TAHITI T AH0 HH IY1 T IY0 +TAHMASSEBI T AA2 M AH0 S IY1 B IY0 +TAHOE T AE1 HH OW0 +TAI T AY1 +TAIBI T EY1 B IY0 +TAIKO T EY1 K OW0 +TAIL T EY1 L +TAILED T EY1 L D +TAILGATE T EY1 L G EY2 T +TAILHOOK T EY1 L HH UH2 K +TAILING T EY1 L IH0 NG +TAILINGS T EY1 L IH0 NG Z +TAILLON T EY1 L AH0 N +TAILOR T EY1 L ER0 +TAILORED T EY1 L ER0 D +TAILORING T EY1 L ER0 IH0 NG +TAILORS T EY1 L ER0 Z +TAILPIPE T EY1 L P AY2 P +TAILS T EY1 L Z +TAILSPIN T EY1 L S P IH2 N +TAIMA T AY1 M AH0 +TAINER T EY1 N ER0 +TAING T AA1 IH0 NG +TAINT T EY1 N T +TAINTED T EY1 N T IH0 D +TAINTER T EY1 N T ER0 +TAINTING T EY1 N T IH0 NG +TAINTS T EY1 N T S +TAIPEI T AY1 P EY2 +TAIPEI'S T AY1 P EY2 Z +TAIRA T AA0 IH1 R AH0 +TAISEI T EY1 S EY2 +TAISHO T EY1 SH OW0 +TAIT T EY1 T +TAITE T EY1 T +TAITT T EY1 T +TAIWAN T AY1 W AA1 N +TAIWAN'S T AY1 W AA1 N Z +TAIWANESE T AY1 W AA0 N IY1 Z +TAIYO T AY1 Y OW0 +TAJ T AA1 ZH +TAJIK T AA1 JH IH0 K +TAJIKISTAN T AA2 JH IY1 K IH0 S T AE2 N +TAJIKISTAN'S T AA2 JH IY1 K IH0 S T AE2 N Z +TAJIMA T AA2 JH IY1 M AH0 +TAK T AE1 K +TAKACH T AE1 K AH0 K +TAKACS T AE1 K AH0 K S +TAKAGI T AA0 K AA1 G IY0 +TAKAHASHI T AA0 K AA0 HH AA1 SH IY0 +TAKAKI T AA0 K AA1 K IY0 +TAKAKO T AA2 K AA1 K OW0 +TAKANASHI T AA2 K AA2 N AA1 SH IY0 +TAKAO T AA2 K AA1 OW0 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B AE2 N Z +TALIBANS T AE1 L IH0 B AE2 N Z +TALIGENT T AE1 L IH0 JH EH0 N T +TALISMAN T AE1 L IH0 S M AH0 N +TALITHA T AE1 L IH0 DH AH0 +TALK T AO1 K +TALK'S T AO1 K S +TALKABLE T AO1 K AH0 B AH0 L +TALKATIVE T AO1 K AH0 T IH0 V +TALKBACK T AO1 K B AE2 K +TALKED T AO1 K T +TALKER T AO1 K ER0 +TALKERS T AO1 K ER0 Z +TALKIE T AO1 K IY0 +TALKIES T AO1 K IY0 Z +TALKIN T AA1 K AH0 N +TALKIN' T AO1 K IH0 N +TALKING T AO1 K IH0 NG +TALKING'S T AO1 K IH0 NG Z +TALKINGTON T AO1 K IH0 NG T AH0 N +TALKS T AO1 K S +TALKY T AO1 K IY0 +TALL T AO1 L +TALLADEGA T AE2 L AH0 D EY1 G AH0 +TALLAHASSEAN T AE2 L AH0 HH AE1 S IY0 AH0 N +TALLAHASSEANS T AE2 L AH0 HH AE1 S IY0 AH0 N Z +TALLAHASSEE T AE2 L AH0 HH AE1 S IY0 +TALLAHASSEE'S T AE2 L AH0 HH AE1 S IY0 Z +TALLANT T AA1 L AH0 N T +TALLARICO T AA0 L AA0 R IY1 K OW0 +TALLENT T AA1 L AH0 N T +TALLER T AO1 L ER0 +TALLERICO T AA0 L ER0 IY1 K OW0 +TALLEST T AO1 L IH0 S T +TALLEY T AE1 L IY0 +TALLGRASS T AA1 L G R AE2 S +TALLIE T AO1 L IY0 +TALLIED T AE1 L IY0 D +TALLIES T AE1 L IY0 Z +TALLIL T AH0 L IH1 L +TALLMADGE T AE1 L M AE0 JH +TALLMAN T AO1 L M AH0 N +TALLO T AE1 L OW0 +TALLON T AE1 L AH0 N +TALLOW T AE1 L OW0 +TALLULA T AA0 L UW1 L AH0 +TALLULAH T AE2 L UW1 L AH0 +TALLY T AE1 L IY0 +TALLYHO T AE2 L IY0 HH OW1 +TALLYING T AE1 L IY0 IH0 NG +TALMADGE T AE1 L M AE0 JH +TALMAGE T AE1 L M IH0 JH +TALMAN T AE1 L M AH0 N +TALMOR T AE1 L M AO2 R +TALMUD T AE1 L M AH0 D +TALON T AE1 L AH0 N +TALONS T AE1 L AH0 N Z +TALSMA T AA1 L S M AH0 +TALTON T AE1 L T AH0 N +TALTOS T AA1 L T OW0 Z +TALTY T AO1 L T IY0 +TAM T AE1 M +TAMA T AA1 M AH0 +TAMALES T AH0 M AA1 L IY0 Z +TAMANAHA T AA0 M AA0 N AA1 HH AH0 +TAMARA T AH0 M AA1 R AH0 +TAMARAC T AE1 M ER0 AE0 K +TAMARGO T AA0 M AA1 R G OW0 +TAMARIN T AE1 M ER0 AH0 N +TAMARINS T AE1 M ER0 AH0 N Z +TAMARISK T AE1 M ER0 IH0 S K +TAMARISKS T AE1 M ER0 IH0 S K S +TAMAS T AA1 M AH0 Z +TAMASHIRO T AA0 M AA0 SH IH1 R OW0 +TAMAYO T AA0 M AA1 Y OW0 +TAMBLYN T AE1 M B L IH0 N +TAMBO T AE1 M B OW0 +TAMBOCOR T AE1 M B OW0 K AO2 R +TAMBOURINE T AE2 M B ER0 IY1 N +TAMBRANDS T AE1 M B R AE2 N D Z +TAMBS T AE1 M Z +TAMBURELLO T AA0 M B UH0 R EH1 L OW0 +TAMBURO T AA0 M B UH1 R OW0 +TAMBURRI T AA0 M B UH1 R IY0 +TAMBURRINO T AA0 M B UH0 R IY1 N OW0 +TAMBURRO T AA0 M B UH1 R OW0 +TAME T EY1 M +TAMED T EY1 M D +TAMER T EY1 M ER0 +TAMES T EY1 M Z +TAMEZ T AA0 M EH1 Z +TAMI T AE1 M IY0 +TAMIAMI T AE2 M IY0 AE1 M IY0 +TAMIL T AH0 M IH1 L +TAMIL(2) T AE1 M IH0 L +TAMILS T AH0 M IH1 L Z +TAMILS(2) T AE1 M IH0 L Z +TAMING T EY1 M IH0 NG +TAMKE T AE1 M K IY0 +TAMM T AE1 M +TAMMANY T AE1 M AH0 N IY0 +TAMMARO T AA0 M AA1 R OW0 +TAMMEN T AE1 M AH0 N +TAMMIE T AE1 M IY0 +TAMMINGA T AA0 M IY1 NG G AH0 +TAMMO T AE1 M OW0 +TAMMY T AE1 M IY0 +TAMOXIFEN T AE2 M AA1 K S AH0 F AH0 N +TAMP T AE1 M P +TAMPA T AE1 M P AH0 +TAMPA'S T AE1 M P AH0 Z +TAMPAX T AE1 M P AE2 K S +TAMPER T AE1 M P ER0 +TAMPERED T AE1 M P ER0 D +TAMPERING T AE1 M P ER0 IH0 NG +TAMPING T AE1 M P IH0 NG +TAMPLIN T AE1 M P L IH0 N +TAMPON T AE1 M P AA0 N 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AE1 N T R IH0 K +TANTRUM T AE1 N T R AH0 M +TANTRUMS T AE1 N T R AH0 M Z +TANU T AA1 N UW0 +TANYA T AA1 N Y AH0 +TANZANIA T AE0 N Z EY1 N IY0 AH0 +TANZANIA(2) T AE2 N Z AH0 N IY1 AH0 +TANZANIA(3) T AE2 N Z EY1 N Y AH0 +TANZANIA'S T AE0 N Z EY1 N IY0 AH0 Z +TANZANIA'S(2) T AE2 N Z AH0 N IY1 AH0 Z +TANZANIA'S(3) T AE2 N Z EY1 N Y AH0 Z +TANZANIAN T AE2 N Z EY1 N IY0 AH0 N +TANZANIAN(2) T AE2 N Z EY1 N Y AH0 N +TANZER T AE1 N Z ER0 +TANZI T AE1 N Z IY0 +TAO T AW1 +TAO(2) D AW1 +TAOISM D AW1 IH0 Z AH0 M +TAOIST D AW1 IH0 S T +TAOISTS D AW1 AH0 S T S +TAORMINA T AA0 AO0 R M IY1 N AH0 +TAOS T AW1 Z +TAP T AE1 P +TAPAS T AH1 P AH0 S +TAPE T EY1 P +TAPE'S T EY1 P S +TAPED T EY1 P T +TAPEIE T EY1 P IY0 EY0 +TAPEIE'S T EY1 P IY0 EY0 Z +TAPER T EY1 P ER0 +TAPERED T EY1 P ER0 D +TAPERING T EY1 P ER0 IH0 NG +TAPERS T EY1 P ER0 Z +TAPES T EY1 P S +TAPESTRIES T AE1 P AH0 S T R IY0 Z +TAPESTRY T AE1 P AH0 S T R IY0 +TAPIA T AA1 P IY0 AH0 +TAPIAS T AH0 P IY1 AH0 S +TAPIE T AE1 P IY0 +TAPING T EY1 P IH0 NG +TAPINGS T EY1 P IH0 NG Z +TAPLEY T AE1 P L IY0 +TAPLIN T AE1 P L IH0 N +TAPP T AE1 P +TAPPAN T AE1 P AH0 N +TAPPE T AE1 P +TAPPED T AE1 P T +TAPPEN T AE1 P AH0 N +TAPPER T AE1 P ER0 +TAPPET T AE1 P AH0 T +TAPPIN T AE1 P IH0 N +TAPPING T AE1 P IH0 NG +TAPS T AE1 P S +TAPSCOTT T AE1 P S K AH0 T +TAR T AA1 R +TARA T EH1 R AH0 +TARA(2) T AA1 R AH0 +TARA'S T EH1 R AH0 Z +TARA'S(2) T AA1 R AH0 Z +TARAHUMARA T AA0 R AH0 HH UW1 M AA0 R AH0 +TARALLO T ER0 AE1 L OW0 +TARANGO T AA0 R AA1 NG G OW0 +TARANTINO T AA0 R AA0 N T IY1 N OW0 +TARANTO T ER0 AE1 N T OW0 +TARANTO'S T ER0 AE1 N T OW0 Z +TARANTULA T AH0 R AE1 N CH UW0 L AH0 +TARANTULA(2) T AH0 R AE1 N CH AH0 L AH0 +TARANTULAS T AH0 R AE1 N CH UW0 L AH0 Z +TARANTULAS(2) T AH0 R AE1 N CH AH0 L AH0 Z +TARAS T AA1 R AH0 Z +TARASOFF T EH1 R IH0 S AO0 F +TARAVELLA T AE2 R AH0 V EH1 L AH0 +TARBELL T AA1 R B EH2 L +TARBERT T AA1 R B ER0 T +TARBET T AA1 R B IH0 T +TARBOX T AA1 R B AA2 K S +TARBUTTON T AA1 R B AH2 T AH0 N +TARDIF T AA1 R D IH0 F 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T AA1 R P L IY0 +TARPON T AA1 R P AH0 N +TARPS T AA1 R P S +TARPY T AA1 R P IY0 +TARQUINIO T AA0 R K W IY1 N IY0 OW0 +TARR T AA1 R +TARRANCE T AA1 R AH0 N S +TARRANT T AA1 R AH0 N T +TARRED T AA1 R D +TARRING T AA1 R IH0 NG +TARRY T EH1 R IY0 +TARRYTOWN T EH1 R IY0 T AW2 N +TARSES T AA1 R S IH0 S +TARSUS T AA1 R S AH0 S +TART T AA1 R T +TARTAGLIA T AA0 R T AE1 G L IY0 AH0 +TARTAGLIONE T AA0 R T AE0 G L IY0 OW1 N IY0 +TARTAN T AA1 R T AH0 N +TARTAR T AA1 R T ER0 +TARTARS T AA1 R T ER0 Z +TARTE T AA1 R T +TARTER T AA1 R T ER0 +TARTIKOFF T AA1 R T IH0 K AO2 F +TARTIKOFF'S T AA1 R T IH0 K AO2 F S +TARTIKOFFS T AA1 R T IH0 K AO2 F S +TARTLY T AA1 R T L IY0 +TARTNESS T AA1 R T N AH0 S +TARTS T AA1 R T S +TARTT T AA1 R T +TARTU T AA2 R T UW1 +TARVER T AA1 R V ER0 +TARVIN T AA1 R V IH0 N +TARZAN T AA1 R Z AE2 N +TARZAN(2) T AA1 R Z AH0 N +TARZAN'S T AA1 R Z AE2 N Z +TARZAN'S(2) T AA1 R Z AH0 N Z +TASADAY T AE1 S AH0 D EY0 +TASCA T AA1 S K AH0 +TASCH T AE1 SH +TASCHNER T AE1 SH N ER0 +TASER T EY1 Z ER0 +TASH T AE1 SH +TASHA T AE1 SH AH0 +TASHIN T AE1 SH IH0 N +TASHIRO T AA0 SH IH1 R OW0 +TASHJIAN T AE1 SH JH IY0 AH0 N +TASHKENT T AE2 SH K EH1 N T +TASK T AE1 S K +TASKED T AE1 S K T +TASKER T AE1 S K ER0 +TASKFORCE T AE1 S K F AO2 R S +TASKING T AE1 S K IH0 NG +TASKMASTER T AE1 S K M AE2 S T ER0 +TASKS T AE1 S K S +TASM T AE1 S AH0 M +TASMAN T AE1 Z M AH0 N +TASMANIA T AE2 Z M EY1 N IY0 AH0 +TASMANIAN T AE2 Z M EY1 N IY0 AH0 N +TASS T AE1 S +TASSEL T AE1 S AH0 L +TASSELED T AE1 S AH0 L D +TASSI T AE1 S IY0 +TASSIN T AE1 S IH0 N +TASSINARI T AA0 S IY0 N AA1 R IY2 +TASSO T AE1 S OW2 +TASSONE T AA0 S OW1 N IY2 +TASTE T EY1 S T +TASTED T EY1 S T IH0 D +TASTEFUL T EY1 S T F AH0 L +TASTEFULLY T EY1 S T F AH0 L IY0 +TASTELESS T EY1 S T L AH0 S +TASTER T EY1 S T ER0 +TASTER'S T EY1 S T ER0 Z +TASTERS T EY1 S T ER0 Z +TASTES T EY1 S T S +TASTIER T EY1 S T IY0 ER0 +TASTINESS T EY1 S T IY0 N AH0 S +TASTING T EY1 S T IH0 NG +TASTINGS T EY1 S T IH0 NG Z +TASTY T EY1 S T IY0 +TAT T AE1 T +TATA T AA1 T AA0 +TATAR T AA2 T AA1 R +TATARS T AA2 T AA1 R Z +TATARSTAN T AA2 T AA1 R S T AA2 N +TATE T EY1 T +TATE'S T EY1 T S +TATEHO T AH0 T EY1 HH OW0 +TATEHO'S T AH0 T EY1 HH OW0 Z +TATEM T AE1 T IH0 M +TATER T EY1 T ER0 +TATERS T EY1 T ER0 Z +TATGE T EY1 T JH +TATHAM T AE1 TH AH0 M +TATIANA T AE2 T IY2 AE1 N AA2 +TATIANA(2) T AE2 T Y AA1 N AA2 +TATJANA T AE2 T Y AA1 N AA2 +TATLOCK T AE1 T L AA2 K +TATMAN T AE1 T M AH0 N +TATOM T AE1 T AH0 M +TATRA T AE1 T R AA2 +TATRO T AE1 T R OW2 +TATSCH T AE1 CH +TATSUKICHI T AH0 T S UW0 K IY1 CH IY2 +TATSUNO T AE2 T S UW1 N OW2 +TATTER T AE1 T ER0 +TATTERED T AE1 T ER0 D +TATTERS T AE1 T ER0 Z +TATTERSALL T AE1 T ER0 S AH0 L +TATTLE T AE1 T AH0 L +TATTLED T AE1 T AH0 L D +TATTLER T AE1 T L ER0 +TATTOO T AE2 T UW1 +TATTOOED T AE2 T UW1 D +TATTOOING T AE2 T UW1 IH0 NG +TATTOOS T AE2 T UW1 Z +TATTY T AE1 T IY2 +TATU T AA2 T UW1 +TATUM T EY1 T AH0 M +TATYANA T AA0 T Y AA1 N AA0 +TAUB T AW1 B +TAUBE T AO1 B +TAUBER T AW1 B ER0 +TAUBERT T AW1 B ER0 T +TAUBES T AW1 B Z +TAUBMAN T AW1 B M AH0 N +TAUCHER T AW1 K ER0 +TAUER T AW1 ER0 +TAUGHT T AO1 T +TAUKE T AW1 K +TAUL T AO1 L +TAULBEE T AO1 L B IY2 +TAUNT T AO1 N T +TAUNTED T AO1 N T IH0 D +TAUNTING T AO1 N T IH0 NG +TAUNTON T AO1 N T AH0 N +TAUNTS T AO1 N T S +TAURUS T AO1 R AH0 S +TAURUSES T AO1 R AH0 S AH0 Z +TAUSCH T AW1 SH +TAUSCHER T AW1 SH ER0 +TAUSSIG T AW1 S IH0 G +TAUT T AO1 T +TAUZIN T AW1 Z IH0 N +TAVANO T AA0 V AA1 N OW0 +TAVARES T AA0 V AA1 R EH0 S +TAVAREZ T AA0 V AA1 R EH0 Z +TAVEL T AA0 V EH1 L +TAVENNER T AE1 V IH0 N ER0 +TAVERA T AA0 V EH1 R AH0 +TAVERAS T AA0 V EH1 R AA0 Z +TAVERN T AE1 V ER0 N +TAVERNA T AA0 V EH1 R N AH0 +TAVERNA'S T AA0 V EH1 R N AH0 Z +TAVERNAS T AA0 V EH1 R N AH0 Z +TAVERNIER T AE1 V ER0 N IY0 ER0 +TAVERNS T AE1 V ER0 N Z +TAVES T EY1 V Z +TAVIE T EY1 V IY0 +TAVIS T AA1 V IH0 S +TAVISH T EY1 V IH0 SH +TAVIST T AE1 V IH0 S T +TAVLIN T AE1 V L IH0 N +TAVOULAREAS T AA0 V UW0 L EH1 R IY0 AH0 S +TAVY T EY1 V IY0 +TAWANA T AA2 W AA1 N AH0 +TAWDRY T AO1 D R IY0 +TAWES T AO1 Z +TAWFIQ T AA1 F IH0 K +TAWIL T AO1 AH0 L +TAWNEY T AO1 N IY0 +TAWNY T AA1 N IY0 +TAX T AE1 K S +TAX'S T AE1 K S IH0 Z +TAXABILITY T AE2 K S AH0 B IH1 L IH0 T IY0 +TAXABLE T AE1 K S AH0 B AH0 L +TAXABLES T AE1 K S AH0 B AH0 L Z +TAXATION T AE0 K S EY1 SH AH0 N +TAXCUT T AE1 K S K AH2 T +TAXED T AE1 K S T +TAXER T AE1 K S ER0 +TAXERS T AE1 K S ER0 Z +TAXES T AE1 K S AH0 Z +TAXES(2) T AE1 K S IH0 Z +TAXES' T AE1 K S IH0 Z +TAXI T AE1 K S IY0 +TAXI'S T AE1 K S IY0 Z +TAXICAB T AE1 K S IY0 K AE2 B +TAXICABS T AE1 K S IY0 K AE2 B Z +TAXIDERMIST T AE1 K S AH0 D ER2 M AH0 S T +TAXIDERMISTS T AE1 K S AH0 D ER2 M AH0 S T S +TAXIDERMISTS(2) T AE1 K S AH0 D ER2 M AH0 S +TAXIDERMY T AE1 K S AH0 D ER2 M IY0 +TAXIED T AE1 K S IY0 D +TAXIING T AE1 K S IY0 IH0 NG +TAXING T AE1 K S IH0 NG +TAXIS T AE1 K S IY0 Z +TAXIWAY T AE1 K S IY0 W EY0 +TAXOL T AE1 K S AA2 L +TAXONOMIES T AE2 K S AO1 N AH0 M IY2 Z +TAXONOMY T AE2 K S AO1 N AH0 M IY2 +TAXPAYER T AE1 K S P EY2 ER0 +TAXPAYER'S T AE1 K S P EY2 ER0 Z +TAXPAYERS T AE1 K S P EY2 ER0 Z +TAXPAYERS' T AE1 K S P EY2 ER0 Z +TAXPAYING T AE1 K S P EY2 IH0 NG +TAY T EY1 +TAYLER T EY1 L ER0 +TAYLOE T EY1 L OW0 +TAYLOR T EY1 L ER0 +TAYLOR'S T EY1 L ER0 Z +TAYLORS T EY1 L ER0 Z +TAYMAN T EY1 M AH0 N +TAYS T EY1 Z +TB T IY1 B IY1 +TBILISI T AH0 B IH0 L IY1 S IY0 +TBILISI(2) T AH0 B L IY1 S IY0 +TCAS T IY1 S IY1 EY1 EH1 S +TCHAIKOVSKY CH EY2 K AA1 V S K IY0 +TCHAIKOVSKY(2) CH AY2 K AA1 V S K IY0 +TCHAIKOVSKY(3) CH AY2 K AA1 F S K IY0 +TCHAIKOVSKY'S CH EY2 K AA1 V S K IY0 Z +TCHAIKOVSKY'S(2) CH AY2 K AA1 V S K IY0 Z +TCHAIKOVSKY'S(3) CH AY2 K AA1 F S K IY0 Z +TCHURUK CH UH1 R IH0 K +TE T IY1 +TEA T IY1 +TEAC T IY1 K +TEAC(2) T IY1 AE0 K +TEACH T IY1 CH +TEACHABLE T IY1 CH AH0 B AH0 L +TEACHER T IY1 CH ER0 +TEACHER'S T IY1 CH ER0 Z +TEACHERS T IY1 CH ER0 Z +TEACHERS' T IY1 CH ER0 Z +TEACHES T IY1 CH AH0 Z +TEACHES(2) T IY1 CH IH0 Z +TEACHEY T IY1 CH IY0 +TEACHING T IY1 CH IH0 NG +TEACHINGS T IY1 CH IH0 NG Z +TEACHOUT T IY1 CH AW2 T +TEACUP T IY1 K AH2 P +TEAFORD T IY1 F AO2 R D +TEAFORD(2) T IY1 F ER0 D +TEAGARDEN T IY1 G AA2 R D AH0 N +TEAGLE T IY1 G AH0 L +TEAGUE T IY1 G +TEAHAN T IY1 AH0 N +TEAK T IY1 K +TEAKAMP T IY1 K AE0 M P +TEAKWOOD T IY1 K W UH2 D +TEAL T IY1 L +TEALE T IY1 L +TEALL T IY1 L +TEAM T IY1 M +TEAM'S T IY1 M Z +TEAMED T IY1 M D +TEAMER T IY1 M ER0 +TEAMING T IY1 M IH0 NG +TEAMMATE T IY1 M EY2 T +TEAMMATES T IY1 M M EY2 T S +TEAMS T IY1 M Z +TEAMS' T IY1 M Z +TEAMSTER T IY1 M S T ER0 +TEAMSTER'S T IY1 M S T ER0 Z +TEAMSTERS T IY1 M S T ER0 Z +TEAMSTERS' T IY1 M S T ER0 Z +TEAMWORK T IY1 M W ER2 K +TEANECK T IY1 N EH2 K +TEANEY T IY1 N IY0 +TEAPOT T IY1 P AA2 T +TEAR T EH1 R +TEAR(2) T IH1 R +TEARE T IY1 R +TEARFUL T IH1 R F AH0 L +TEARFULLY T IH1 R F AH0 L IY0 +TEARING T EH1 R IH0 NG +TEARING(2) T IH1 R IH0 NG +TEARLE T AO1 R AH0 L +TEARS T EH1 R Z +TEARS(2) T IH1 R Z +TEARY T IH1 R IY0 +TEAS T IY1 Z +TEASDALE T IY1 Z D EY2 L +TEASE T IY1 Z +TEASED T IY1 Z D +TEASER T IY1 Z ER0 +TEASES T IY1 Z IH0 Z +TEASING T IY1 Z IH0 NG +TEASLEY T IY1 Z L IY0 +TEASON T IY1 S AO0 N +TEASPOON T IY1 S P UW2 N +TEASPOONFUL T IY1 S P UW2 N F AH0 L +TEASPOONS T IY1 S P UW2 N Z +TEAST T IY1 S T +TEASTER T IY1 S T ER0 +TEAT T IY1 T +TEATE T IY1 EY2 T +TEATER T IY1 T ER0 +TEATRO T IY1 T R OW0 +TEATS T IY1 T S +TEBBE T EH1 B +TEBBEN T EH1 B AH0 N +TEBBETTS T EH1 B IH0 T S +TEBBIT T EH1 B IH0 T +TEBBS T EH1 B Z +TEBEAU T IH0 B OW1 +TEBELSKIS T AH0 B EH1 L S K IY0 S +TEBO T EH1 B OW0 +TEBUTHIURON T EH2 B AH0 TH Y UW1 R AA0 N +TEC T EH1 K +TECH T EH1 K +TECH'S T EH1 K S +TECHCRUNCH T EH1 CH K R AH1 N CH +TECHIE T EH1 K IY0 +TECHIES T EH1 K IY0 Z +TECHINT T EH1 CH IH0 N T +TECHINT(2) T EH1 K IH2 N T +TECHNIC T EH1 K N IH0 K +TECHNICAL T EH1 K N IH0 K AH0 L +TECHNICAL'S T EH1 K N IH0 K AH0 L Z +TECHNICALITIES T EH2 K N IH0 K AE1 L AH0 T IY0 Z +TECHNICALITY T EH2 K N IH0 K AE1 L IH0 T IY0 +TECHNICALLY T EH1 K N IH0 K AH0 L IY0 +TECHNICALLY(2) T EH1 K N IH0 K L IY0 +TECHNICALS T EH1 K N IH0 K AH0 L Z +TECHNICIAN T EH0 K N IH1 SH AH0 N +TECHNICIAN'S T EH0 K N IH1 SH AH0 N Z +TECHNICIANS T EH0 K N IH1 SH AH0 N Z +TECHNICOLOR T EH1 K N IH0 K AH2 L ER0 +TECHNICON T EH1 K N IH0 K AA2 N +TECHNICS T EH1 K N IH0 K S +TECHNIQUE T EH0 K N IY1 K +TECHNIQUES T EH0 K N IY1 K S +TECHNITROL T EH1 K N IH0 T R OW2 L +TECHNO T EH1 K N OW0 +TECHNOCRAT T EH1 K N AH0 K R AE2 T +TECHNOCRATIC T EH2 K N AH0 K R AE1 T IH0 K +TECHNOCRATS T EH1 K N AH0 K R AE2 T S +TECHNODYNE T EH1 K N OW0 D AY2 N +TECHNOLOGIC T EH2 K N AH0 L AA1 JH IH0 K +TECHNOLOGICAL T EH2 K N AH0 L AA1 JH IH0 K AH0 L +TECHNOLOGICALLY T EH2 K N AH0 L AA1 JH IH0 K AH0 L IY0 +TECHNOLOGICALLY(2) T EH2 K N AH0 L AA1 JH IH0 K L IY0 +TECHNOLOGIES T EH0 K N AA1 L AH0 JH IY0 Z +TECHNOLOGIES' T EH2 K N AA1 L AH0 JH IY0 Z +TECHNOLOGIST T EH2 K N AA1 L AH0 JH IH0 S T +TECHNOLOGISTS T EH2 K N AA1 L AH0 JH IH0 S T S +TECHNOLOGY T EH0 K N AA1 L AH0 JH IY0 +TECHNOLOGY'S T EH0 K N AA1 L AH0 JH IY0 Z +TECHNOMIC T EH2 K N AA1 M IH0 K +TECHNOPHOBE T EH1 K N OW0 F OW2 B +TECHNOPHOBE'S T EH1 K N OW0 F OW2 B Z +TECHNOPHOBES T EH1 K N OW0 F OW2 B Z +TECHS T EH1 K S +TECHSYSTEM T EH1 K S IH2 S T AH0 M +TECHSYSTEMS T EH1 K S IH2 S T AH0 M Z +TECHY T EH1 CH IY0 +TECK T EH1 K +TECK'S T EH1 K S +TECLA T EH1 K L AH0 +TECO T IY1 K OW0 +TECOGEN T EH1 K OW0 G AH0 N +TECOGEN(2) T EH1 K OW0 JH EH0 N +TECOS T IY1 K OW0 S +TECTONIC T EH0 K T AA1 N IH0 K +TECTONICS T EH0 K T AA1 N IH0 K S +TECUMSEH T AH0 K AH1 M S AH0 +TED T EH1 D +TED'S T EH1 D Z +TEDDER T EH1 D ER0 +TEDDIE T EH1 D IY0 +TEDDY T EH1 D IY0 +TEDDY'S T EH1 D IY0 Z +TEDESCHI T EH0 D EH1 S K IY0 +TEDESCO T EH0 D EH1 S K OW0 +TEDESCO'S T EH0 D EH1 S K OW0 Z +TEDFORD T EH1 D F ER0 D +TEDIOUS T IY1 D IY0 AH0 S +TEDIOUSLY T IY1 D IY0 AH0 S L IY0 +TEDIUM T IY1 D IY0 AH0 M +TEDMAN T EH1 D M AH0 N +TEDMOND T EH1 D M AH0 N D +TEDMUND T EH1 D M AH0 N D +TEDRICK T EH1 D R IH0 K +TEDROW T EH1 D R OW2 +TEE T IY1 +TEED T IY1 D +TEEGARDEN T IY1 G AA2 R D AH0 N +TEEGARDIN T IY0 G AA1 R D IH0 N +TEEHAN T IY1 AH0 N +TEEING T IY1 IH0 NG +TEEL T IY1 L +TEELE T IY1 L +TEELEY T IY1 L IY0 +TEELING T IY1 L IH0 NG +TEEM T IY1 M +TEEMING T IY1 M IH0 NG +TEEMS T IY1 M Z +TEEN T IY1 N +TEENA T IY1 N AH0 +TEENAGE T IY1 N EY2 JH +TEENAGED T IY1 N EY2 JH D +TEENAGER T IY1 N EY2 JH ER0 +TEENAGER'S T IY1 N EY2 JH ER0 Z +TEENAGERS T IY1 N EY2 JH ER0 Z +TEENIE T IY1 N IY0 +TEENS T IY1 N Z +TEENSY T IY1 N S IY0 +TEENY T IY1 N IY0 +TEEPLE T IY1 P AH0 L +TEEPLES T IY1 P AH0 L Z +TEER T IH1 R +TEES T IY1 Z +TEET T IY1 T +TEETER T IY1 T ER0 +TEETER'S T IY1 T ER0 Z +TEETERED T IY1 T ER0 D +TEETERING T IY1 T ER0 IH0 NG +TEETERS T IY1 T ER0 Z +TEETH T IY1 TH +TEETHE T IY1 DH +TEETHING T IY1 DH IH0 NG +TEETOTALER T IY2 T OW2 T EY1 L ER0 +TEETS T IY1 T S +TEFFETELLER T EH1 F IH0 T EH2 L ER0 +TEFFT T EH1 F T +TEFLON T EH1 F L AH0 N +TEFRA T EH1 F R AH0 +TEGELER T EH1 G AH0 L ER0 +TEGETHOFF T EH1 G IH0 T AO2 F +TEGGE T EH1 G +TEGTMEIER T EH1 T M AY0 ER0 +TEGTMEYER T EH1 T M AY0 ER0 +TEGUCIGALPA T EH0 G UW0 S IY0 G AE1 L P AH0 +TEGUCIGALPA(2) T EH0 G UW0 CH IY0 G AA1 L P AH0 +TEHAN T EY1 AH0 N +TEHERAN T EH2 HH ER0 AA1 N +TEHERAN'S T EH2 HH ER0 AA1 N Z +TEHERANI T EH2 HH ER0 AA1 N IY0 +TEHERANI'S T EH2 HH ER0 AA1 N IY0 Z +TEHERANIS T EH2 HH ER0 AA1 N IY0 Z +TEHERANS T EH2 HH ER0 AA1 N Z +TEHRAN T EY2 R AA1 N +TEHRAN'S T EY2 R AA1 N Z +TEHRANI T EY2 R AA1 N IY0 +TEHRANI'S T EY2 R AA1 N IY0 Z +TEHRANIS T EY2 R AA1 N IY0 Z +TEHRANS T EY2 R AA1 N Z +TEICH T AY1 K +TEICHER T AY1 K ER0 +TEICHERT T AY1 K ER0 T +TEICHMAN T AY1 K M AH0 N +TEICHMANN T AY1 K M AH0 N +TEICHOLZ T AY1 K HH AO2 L T S +TEIG T IY1 G +TEIGE T AY1 JH +TEIGEN T AY1 G AH0 N +TEIKOKU T EY2 K OW1 K UW2 +TEITEL T AY1 T AH0 L +TEITELBAUM T AY1 T AH0 L B AW0 M +TEITELL T AY1 T EH2 L +TEIXEIRA T AH0 K S EH1 R AH0 +TEJADA T EY0 Y AA1 D AH0 +TEJAN T EY0 JH AH0 N +TEJANO T EY0 Y AA1 N OW0 +TEJAS T IY1 JH AH0 S +TEJEDA T EY0 Y EY1 D AH0 +TEJERA T EY0 IH1 R AH0 +TEJON T EH1 JH AA0 N +TEK T EH1 K +TEKNOWLEDGE T EH2 K N AA1 L EH0 JH +TEKTRONIX T EH2 K T R AA1 N IH0 K S +TEL T EH1 L +TEL-AVIV T EH1 L AA0 V IY1 V +TELACTION T EH0 L AE1 K SH AH0 N +TELAMON T EH1 L AH0 M AH0 N +TELANDER T IY1 L AE0 N D ER0 +TELANDER(2) T IH0 L AE1 N D ER0 +TELCO T EH1 L K OW0 +TELE T EH1 L IY0 +TELE(2) T EH1 L AH0 +TELECABLE T EH1 L AH0 K EY2 B AH0 L +TELECARD T EH1 L AH0 K AA2 R D +TELECAST T EH1 L AH0 K AE2 S T +TELECASTS T EH1 L AH0 K AE2 S T S +TELECHARGE T EH1 L AH0 CH AA1 R JH +TELECHECK T EH1 L AH0 CH EH2 K +TELECOM T EH1 L AH0 K AA0 M +TELECOM'S T EH1 L AH0 K AA0 M Z +TELECOMMUNICATION T EH2 L AH0 K AH0 M Y UW2 N IH0 K EY1 SH AH0 N +TELECOMMUNICATIONS T EH2 L AH0 K AH0 M Y UW2 N AH0 K EY1 SH AH0 N Z +TELECOMMUNICATIONS' T EH2 L AH0 K AH0 M Y UW2 N AH0 K EY1 SH AH0 N Z +TELECOMMUTE T EH1 L AH0 K AH0 M Y UW2 T +TELECOMMUTER T EH1 L AH0 K AH0 M Y UW2 T ER0 +TELECOMMUTER'S T EH1 L AH0 K AH0 M Y UW2 T ER0 Z +TELECOMMUTERS T EH1 L AH0 K AH0 M Y UW2 T ER0 Z +TELECOMMUTING T EH0 L AH0 K AH0 M Y UW1 T IH0 NG +TELECOMS T EH1 L AH0 K AA0 M Z +TELECONFERENCE T EH2 L AH0 K AA1 N F R AH0 N S +TELECONFERENCING T EH2 L AH0 K AA1 N F R AH0 N S IH0 NG +TELECONNECT T EH2 L AH0 K AH0 N EH1 K T +TELECRAFTER T EH1 L AH0 K R AE2 F T ER0 +TELECREDIT T EH1 L AH0 K R EH2 D IH0 T +TELECTRON T EH1 L AH0 K T R AA0 N +TELECTRONIC T EH2 L AH0 K T R AA1 N IH0 K +TELECTRONICS T EH2 L AH0 K T R AA1 N IH0 K S +TELEDESIC T EH2 L AH0 D EH1 S IH0 K +TELEDYNE T EH1 L AH0 D AY2 N +TELEDYNE'S T EH1 L AH0 D AY2 N Z +TELEFLEX T EH1 L AH0 F L EH2 K S +TELEFON T EH1 L AH0 F AA2 N +TELEFONICA T EH2 L AH0 F AA1 N IH0 K AH0 +TELEFONOS T EH2 L EH0 F OW1 N OW0 S +TELEFUNKEN T EH2 L AH0 F AH1 NG K AH0 N +TELEGENIC T EH2 L AH0 JH EH1 N IH0 K +TELEGLOBE T EH1 L AH0 G L OW2 B +TELEGRAM T EH1 L AH0 G R AE2 M +TELEGRAMS T EH1 L AH0 G R AE2 M Z +TELEGRAPH T EH1 L AH0 G R AE2 F +TELEGRAPH'S T EH1 L AH0 G R AE2 F S +TELEGRAPHED T EH1 L AH0 G R AE2 F T +TELEKOM T EH1 L AH0 K AA0 M +TELEKOM'S T EH1 L AH0 K AA0 M Z +TELEMACHO T EH1 L AH0 M AA2 CH OW0 +TELEMANAGEMENT T EH1 L AH0 M AE2 N IH0 JH M AH0 N T +TELEMARKET T EH2 L AH0 M AA1 R K IH0 T +TELEMARKETER T EH2 L AH0 M AA1 R K IH0 T ER0 +TELEMARKETERS T EH2 L AH0 M AA1 R K IH0 T ER0 Z +TELEMARKETING T EH2 L AH0 M AA1 R K AH0 T IH0 NG +TELEMATIC T EH2 L AH0 M AE1 T IH0 K +TELEMATICS T EH2 L AH0 M AE1 T IH0 K S +TELEMECANIQUE T EH2 L AH0 M AH0 K AE1 N IH0 K +TELEMEDIA T EH2 L AH0 M IY1 D IY0 AH0 +TELEMEDICINE T EH2 L IH0 M EH1 D IH0 S AH0 N +TELEMETRY T AH0 L EH1 M AH0 T R IY0 +TELEMUNDO T EH2 L AH0 M UW1 N D OW0 +TELENET T EH1 L AH0 N EH2 T +TELEOLOGICAL T IY2 L IY0 AH0 L AO1 JH IH0 K AH0 L +TELEOLOGY T IY1 L IY0 AO2 L AH0 JH IY2 +TELEPATH T EH2 L AH0 P AE1 TH +TELEPATHIC T EH2 L AH0 P AE1 TH AH0 K +TELEPATHY T AH0 L EH1 P AH0 TH IY0 +TELEPHONE T EH1 L AH0 F OW2 N +TELEPHONE'S T EH1 L AH0 F OW2 N Z +TELEPHONED T EH1 L AH0 F OW2 N D +TELEPHONES T EH1 L AH0 F OW2 N Z +TELEPHONIC T EH2 L AH0 F AA1 N IH0 K +TELEPHONICS T EH2 L AH0 F AA1 N IH0 K S +TELEPHONING T EH1 L AH0 F OW2 N IH0 NG +TELEPHONIQUES T EH2 L AH0 F AA0 N IY1 K S +TELEPHONY T EH1 L AH0 F OW2 N IY0 +TELEPHOTO T EH1 L AH0 F OW2 T OW0 +TELEPICTURE T EH1 L AH0 P IH1 K CH ER0 +TELEPICTURES T EH1 L AH0 P IH1 K CH ER0 Z +TELEPORT T EH1 L AH0 P AO1 R T +TELEPORT'S T EH1 L AH0 P AO1 R T S +TELEPROBE T EH1 L AH0 P R OW1 B +TELEPROMPTER T EH1 L AH0 P R AA2 M P T ER0 +TELEQUEST T EH1 L AH0 K W EH1 S T +TELERATE T EH1 L ER0 EY1 T +TELESAT T EH1 L AH0 S AE0 T +TELESCIENCE T EH1 L AH0 S AY2 AH0 N S +TELESCIENCES T EH1 L AH0 S AY2 AH0 N S IH0 Z +TELESCO T EH0 L EH1 S K OW0 +TELESCOPE T EH1 L AH0 S K OW2 P +TELESCOPE'S T EH1 L AH0 S K OW2 P S +TELESCOPES T EH1 L AH0 S K OW2 P S +TELESCOPIC T EH2 L AH0 S K AO1 P IH0 K +TELESCRIPT T EH1 L AH0 S K R IH2 P T +TELESIS T EH1 L AH0 S IH0 S +TELESIS' T EH1 L AH0 S IH2 S +TELESIS'S T EH1 L AH0 S IH0 S IH0 Z +TELESPHERE T EH1 L AH0 S F IH2 R +TELESTRATOR T EH1 L AH0 S T R EY2 T ER0 +TELESYSTEM T EH1 L AH0 S IH2 S T AH0 M +TELETEXT T EH1 L AH0 T EH1 K S T +TELETHON T EH1 L AH0 TH AA0 N +TELETRON T EH1 L AH0 T R AA2 N +TELETTRA T EH1 L EH0 T R AH0 +TELETYPE T EH1 L AH0 T AY2 P +TELETYPES T EH1 L AH0 T AY2 P S +TELEVANGELIST T EH2 L AH0 V AE1 N JH AH0 L AH0 S T +TELEVANGELISTS T EH2 L AH0 V AE1 N JH AH0 L AH0 S T S +TELEVIDEO T EH2 L AH0 V IH1 D IY0 OW0 +TELEVISA T EH1 L AH0 V IY1 Z AH0 +TELEVISA'S T EH2 L AH0 V IY1 Z AH0 Z +TELEVISE T EH1 L AH0 V AY2 Z +TELEVISED T EH1 L AH0 V AY2 Z D +TELEVISING T EH1 L AH0 V AY2 Z IH0 NG +TELEVISION T EH1 L AH0 V IH2 ZH AH0 N +TELEVISION'S T EH1 L AH0 V IH2 ZH AH0 N Z +TELEVISIONS T EH1 L AH0 V IH2 ZH AH0 N Z +TELEVISON T EH1 L IH0 V IH0 ZH AH0 N +TELEWEST T EH1 L AH0 W EH1 S T +TELEX T EH1 L EH2 K S +TELEX'S T EH1 L EH2 K S IH0 Z +TELEXED T EH1 L EH2 K S T +TELEXES T EH1 L EH2 K S IH0 S +TELFAIR T EH1 L F EH2 R +TELFER T EH1 L F ER0 +TELFOR T EH1 L F ER0 +TELFORD T EH1 L F ER0 D +TELFOUR T EH1 L F ER0 +TELIT T EH1 L IH2 T +TELL T EH1 L +TELLABS T EH1 L AE2 B Z +TELLEFSEN T EH1 L IH0 F S AH0 N +TELLEP T EH1 L AH0 P +TELLER T EH1 L ER0 +TELLER'S T EH1 L ER0 Z +TELLERS T EH1 L ER0 Z +TELLES T EH1 L Z +TELLEZ T EY0 L EH1 Z +TELLIER T EH1 L IY0 ER0 +TELLIN' T EH1 L IH0 N +TELLING T EH1 L IH0 NG +TELLINGLY T EH1 L IH0 NG L IY0 +TELLIS T EH1 L IH0 S +TELLO T EH1 L OW0 +TELLS T EH1 L Z +TELLTALE T EH1 L T EY2 L +TELLTALES T EH1 L T EY2 L Z +TELLURIDE T EH1 L Y ER0 AY2 D +TELLURIDES T EH1 L Y ER0 AY2 D Z +TELLURIUM T EH0 L UH1 R IY0 AH0 M +TELLY T EH1 L IY0 +TELMEX T EH1 L M EH2 K S +TELMEX'S T EH1 L M EH2 K S IH0 Z +TELOMERASE T AH0 L OW1 M ER0 EY2 Z +TELOMERE T EH1 L AH0 M IY0 R +TELOMERES T EH1 L AH0 M IY0 R Z +TELOS T EH1 L OW0 S +TELSOURCE T EH1 L S AO2 R S +TELSTAR T EH1 L S T AA2 R +TELSTRA T EH1 L S T R AH0 +TELTSCHIK T EH1 L CH IH0 K +TELUGU T EH1 L UH0 G UW0 +TELUSTRATOR T EH1 L AH0 S T R EY2 T ER0 +TELUSTRATOR(2) T EH1 L Y AH0 S T R EY2 T ER0 +TELXON T EH1 L Z AA0 N +TELXON'S T EH1 L Z AH0 N Z +TELZROW T EH1 L Z R OW0 +TEMBLOR T EH1 M B L ER0 +TEMBLORS T EH1 M B L ER0 Z +TEMCO T EH1 M K OW0 +TEMECULA T AH0 M EH1 K Y AH0 L AH0 +TEMERITY T AH0 M EH1 R AH0 T IY0 +TEMERLIN T EH1 M ER0 L IH0 N +TEMEROUS T EH1 M ER0 AH0 S +TEMKIN T EH1 M K IH0 N +TEMME T EH1 M +TEMP T EH1 M P +TEMPE T EH1 M P IY0 +TEMPEL T EH1 M P AH0 L +TEMPELSMAN T EH1 M P AH0 L Z M AH0 N +TEMPER T EH1 M P ER0 +TEMPERA T EH1 M P ER0 AH0 +TEMPERAMENT T EH1 M P R AH0 M AH0 N T +TEMPERAMENT(2) T EH1 M P ER0 M AH0 N T +TEMPERAMENTAL T EH2 M P R AH0 M EH1 N T AH0 L +TEMPERAMENTAL(2) T EH2 M P ER0 M EH1 N T AH0 L +TEMPERAMENTALLY T EH2 M P R AH0 M EH1 N T AH0 L IY0 +TEMPERAMENTALLY(2) T EH2 M P ER0 M EH1 N T AH0 L IY0 +TEMPERAMENTALLY(3) T EH2 M P R AH0 M EH1 N AH0 L IY0 +TEMPERAMENTALLY(4) T EH2 M P ER0 M EH1 N AH0 L IY0 +TEMPERAMENTS T EH1 M P R AH0 M AH0 N T S +TEMPERAMENTS(2) T EH1 M P ER0 M AH0 N T S +TEMPERANCE T EH1 M P ER0 AH0 N S +TEMPERANCE(2) T EH1 M P R AH0 N S +TEMPERATE T EH1 M P R AH0 T +TEMPERATE(2) T EH1 M P ER0 AH0 T +TEMPERATURE T EH1 M P R AH0 CH ER0 +TEMPERATURE(2) T EH1 M P ER0 AH0 CH ER0 +TEMPERATURES T EH1 M P R AH0 CH ER0 Z +TEMPERATURES(2) T EH1 M P ER0 AH0 CH ER0 Z +TEMPERED T EH1 M P ER0 D +TEMPERING T EH1 M P ER0 IH0 NG +TEMPERS T EH1 M P ER0 Z +TEMPEST T EH1 M P AH0 S T +TEMPESTA T EH2 M P EH1 S T AH0 +TEMPESTUOUS T EH2 M P EH1 S CH UW0 AH0 S +TEMPLAR T EH1 M P L ER0 +TEMPLARS T EH1 M P L ER0 Z +TEMPLATE T EH1 M P L AH0 T +TEMPLATE(2) T EH1 M P L EY0 T +TEMPLATES T EH1 M P L AH0 T S +TEMPLE T EH1 M P AH0 L +TEMPLE'S T EH1 M P AH0 L Z +TEMPLEMAN T EH1 M P AH0 L M AH0 N +TEMPLER T EH1 M P AH0 L ER0 +TEMPLER(2) T EH1 M P L ER0 +TEMPLERS T EH1 M P AH0 L ER0 Z +TEMPLERS(2) T EH1 M P L ER0 Z +TEMPLES T EH1 M P AH0 L Z +TEMPLET T EH1 M P L IH0 T +TEMPLETON T EH1 M P AH0 L T AH0 N +TEMPLETON'S T EH1 M P AH0 L T AH0 N Z +TEMPLIN T EH1 M P L IH0 N +TEMPO T EH1 M P OW2 +TEMPORAL T EH1 M P ER0 AH0 L +TEMPORALLY T EH1 M P ER0 AH0 L IY0 +TEMPORARIES T EH1 M P ER0 EH2 R IY0 Z +TEMPORARILY T EH2 M P ER0 EH1 R AH0 L IY0 +TEMPORARY T EH1 M P ER0 EH2 R IY0 +TEMPORE T EH1 M P AO0 R +TEMPORE(2) T EH2 M P AO1 R IY0 +TEMPORIZE T EH1 M P ER0 AY2 Z +TEMPORIZING T EH1 M P ER0 AY2 Z IH0 NG +TEMPOS T EH1 M P OW2 Z +TEMPS T EH1 M P S +TEMPT T EH1 M P T +TEMPTATION T EH0 M T EY1 SH AH0 N +TEMPTATIONS T EH0 M T EY1 SH AH0 N Z +TEMPTED T EH1 M P T IH0 D +TEMPTING T EH1 M P T IH0 NG +TEMPTRESS T EH1 M P T R IH0 S +TEMPTS T EH1 M P T S +TEN T EH1 N +TEN'S T EH1 N Z +TENA T EH1 N AH0 +TENABLE T EH1 N AH0 B AH0 L +TENACIOUS T AH0 N EY1 SH AH0 S +TENACIOUSLY T AH0 N EY1 SH AH0 S L IY0 +TENACITY T AH0 N AE1 S IH0 T IY0 +TENAGLIA T EH0 N AA1 G L IY0 AH0 +TENANCY T EH1 N AH0 N S IY0 +TENANT T EH1 N AH0 N T +TENANT'S T EH1 N AH0 N T S +TENANTS T EH1 N AH0 N T S +TENANTS' T EH1 N AH0 N T S +TENBRINK T EH1 N B R IH2 NG K +TENCH T EH1 N CH +TENCZA T EH1 N CH AH0 +TEND T EH1 N D +TENDED T EH1 N D IH0 D +TENDENCIES T EH1 N D AH0 N S IY0 Z +TENDENCY T EH1 N D AH0 N S IY0 +TENDENTIOUS T EH2 N D EH1 N SH AH0 S +TENDER T EH1 N D ER0 +TENDERED T EH1 N D ER0 D +TENDERING T EH1 N D ER0 IH0 NG +TENDERLOIN T EH1 N D ER0 L OY2 N +TENDERLY T EH1 N D ER0 L IY0 +TENDERNESS T EH1 N D ER0 N AH0 S +TENDERS T EH1 N D ER0 Z +TENDING T EH1 N D IH0 NG +TENDLER T EH1 N D L ER0 +TENDON T EH1 N D AH0 N +TENDONS T EH1 N D AH0 N Z +TENDS T EH1 N D Z +TENEBROUS T EH1 N AH0 B R AH0 S +TENEMENT T EH1 N AH0 M AH0 N T +TENEMENTS T EH1 N AH0 M AH0 N T S +TENENBAUM T EH1 N AH0 N B AW2 M +TENER T EH1 N ER0 +TENERA T EH2 N EH1 R AH0 +TENET T EH1 N AH0 T +TENETS T EH1 N AH0 T S +TENEYCK T EH1 N IY0 K +TENFOLD T EH1 N F OW2 L D +TENG T EH1 NG +TENG-WEN T EH1 NG W EH1 N +TENGELMANN T EH1 NG G AH0 L M AH0 N +TENGIZ T EH1 NG G IH0 Z +TENGLEMANN T EH1 NG G AH0 L M AH0 N +TENN T EH1 N +TENNANT T EH1 N AH0 N T +TENNCARE T EH1 N K EH2 R +TENNCARE'S T EH1 N K EH2 R Z +TENNECO T EH1 N AH0 K OW0 +TENNECO'S T EH1 N AH0 K OW0 Z +TENNELL T EH1 N AH0 L +TENNENBAUM T EH1 N AH0 N B AW2 M +TENNENT T EH1 N AH0 N T +TENNER T EH1 N ER0 +TENNESSEAN T EH2 N IH0 S IY1 AH0 N +TENNESSEANS T EH2 N IH0 S IY1 AH0 N Z +TENNESSEE T EH2 N AH0 S IY1 +TENNESSEE'S T EH2 N AH0 S IY1 Z +TENNEY T EH1 N IY0 +TENNIS T EH1 N AH0 S +TENNIS(2) T EH1 N IH0 S +TENNIS'S T EH1 N AH0 S IH0 Z +TENNISON T EH1 N IH0 S AH0 N +TENNY T EH1 N IY0 +TENNYSON T EH1 N IH0 S AH0 N +TENOR T EH1 N ER0 +TENORE T EH1 N AO2 R +TENORIO T EH0 N AO1 R IY0 OW0 +TENORS T EH1 N ER0 Z +TENPAS T EH1 N P AH0 Z +TENPENNY T EH1 N P EH2 N IY0 +TENRECS T EH1 N R EH2 K S +TENS T EH1 N Z +TENSE T EH1 N S +TENSELY T EH1 N S L IY0 +TENSILE T EH1 N S AH0 L +TENSIOMETER T EH2 N S IY0 AA1 M IH0 T ER0 +TENSION T EH1 N SH AH0 N +TENSIONS T EH1 N CH AH0 N Z +TENSOR T EH1 N S ER0 +TENSORS T EH1 N S ER0 Z +TENT T EH1 N T +TENTACLE T EH1 N T AH0 K AH0 L +TENTACLES T EH1 N T AH0 K AH0 L Z +TENTATIVE T EH1 N T AH0 T IH0 V +TENTATIVE(2) T EH1 N AH0 T IH0 V +TENTATIVELY T EH1 N T AH0 T IH0 V L IY0 +TENTATIVELY(2) T EH1 N T AH0 V L IY0 +TENTH T EH1 N TH +TENTHS T EH1 N TH S +TENTING T EH1 N T IH0 NG +TENTS T EH1 N T S +TENUOUS T EH1 N Y AH0 W AH0 S +TENURE T EH1 N Y ER0 +TENURED T EH1 N Y ER0 D +TENURES T EH1 N Y ER0 Z +TENUTA T EH0 N UW1 T AH0 +TENZER T EH1 N Z ER0 +TEO T EY1 OW0 +TEODORO T IY2 OW0 D AO1 R OW0 +TEPE T IY1 P +TEPER T IY1 P ER0 +TEPID T EH1 P IH0 D +TEPLY T EH1 P L IY0 +TEPOZTLAN T IH0 P AO1 S T L AH0 N +TEPPER T EH1 P ER0 +TEPPERMAN T EH1 P ER0 M AH0 N +TEQUILA T AH0 K IY1 L AH0 +TEQUILIU T AH0 K IY1 L Y UW0 +TER T ER1 +TERABYTE T EH2 R AH0 B AY1 T +TERABYTES T EH2 R AH0 B AY1 T S +TERADA T ER0 AA1 D AH0 +TERADATA T EH2 R AH0 D AA1 T AH0 +TERADYNE T EH1 R AH0 D AY2 N +TERADYNE'S T EH1 R AH0 D AY2 N Z +TERAN T EH1 R AH0 N +TERASAWA T EH2 R AH0 S AA1 W AH0 +TERBUSH T ER1 B AH0 SH +TERBUSH(2) T ER1 B UH0 SH +TERCEL T ER1 S AH0 L +TERCERO T ER0 CH EH1 R OW0 +TERENCE T EH1 R AH0 N S +TERENCE'S T EH1 R AH0 N S IH0 Z +TERENTIA T ER0 EH1 N SH AH0 +TERESA T ER0 IY1 S AH0 +TERESA(2) T ER0 EY1 S AH0 +TERESA'S T ER0 IY1 S AH0 Z +TERESA'S(2) T ER0 EY1 S AH0 Z +TERESE T EH1 R IY0 Z +TERESI T ER0 EH1 S IY0 +TERESITA T ER0 EH0 S IY1 T AH0 +TERESSA T ER0 EH1 S AH0 +TEREX T EH1 R AH0 K S +TEREZA T ER0 EY1 Z AH0 +TEREZA'S T ER0 EY1 Z AH0 Z +TERHAAR T ER1 HH AA0 R +TERHORST T ER1 HH AO0 R S T +TERHUNE T ER0 HH Y UW1 N +TERI T EH1 R IY0 +TERIYAKI T EH2 R IH0 Y AA1 K IY0 +TERKEL T ER1 K AH0 L +TERKHORN T ER1 K AO2 R N +TERLECKI T ER0 L EH1 T S K IY0 +TERLIZZI T ER0 L IY1 T S IY0 +TERM T ER1 M +TERM'S T ER1 M Z +TERMAN T ER1 M AH0 N +TERMED T ER1 M D +TERMEER T ER0 M IH1 R +TERMER T ER1 M ER0 +TERMERS T ER1 M ER0 Z +TERMINABLE T ER1 M AH0 N AH0 B AH0 L +TERMINAL T ER1 M AH0 N AH0 L +TERMINALLY T ER1 M AH0 N AH0 L IY0 +TERMINALS T ER1 M AH0 N AH0 L Z +TERMINATE T ER1 M AH0 N EY2 T +TERMINATED T ER1 M AH0 N EY2 T IH0 D +TERMINATES T ER1 M IH0 N EY2 T S +TERMINATING T ER1 M AH0 N EY2 T IH0 NG +TERMINATION T ER0 M AH0 N EY1 SH AH0 N +TERMINATIONS T ER2 M AH0 N EY1 SH AH0 N Z +TERMINATOR T ER1 M AH0 N EY2 T ER0 +TERMINE T ER1 M IH0 N +TERMING T ER1 M IH0 NG +TERMINI T ER1 M IH0 N AY2 +TERMINOLOGY T ER2 M IH0 N AA1 L AH0 JH IY0 +TERMINUS T ER1 M IH0 N AH0 S 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L IY0 +TERRIE T EH1 R IY0 +TERRIEN T EH1 R IY0 AH0 N +TERRIER T EH1 R IY0 ER0 +TERRIERS T EH1 R IY0 ER0 Z +TERRIFIC T ER0 IH1 F IH0 K +TERRIFICALLY T ER0 IH1 F IH0 K L IY0 +TERRIFIED T EH1 R AH0 F AY2 D +TERRIFIES T EH1 R AH0 F AY2 Z +TERRIFY T EH1 R AH0 F AY2 +TERRIFYING T EH1 R AH0 F AY2 IH0 NG +TERRILE T EH2 R IY1 L +TERRILL T EH1 R AH0 L +TERRINGTON T EH1 R IH0 NG T AH0 N +TERRIO T EH1 R IY0 OW0 +TERRIS T EH1 R IH0 S +TERRITO T ER0 IY1 T OW0 +TERRITORIAL T EH2 R IH0 T AO1 R IY0 AH0 L +TERRITORIALISM T EH2 R AH0 T AO1 R IY0 AH0 L IH2 Z AH0 M +TERRITORIALLY T EH2 R IH0 T AO1 R IY0 AH0 L IY0 +TERRITORIES T EH1 R AH0 T AO2 R IY0 Z +TERRITORY T EH1 R IH0 T AO2 R IY0 +TERRITORY'S T EH1 R IH0 T AO2 R IY0 Z +TERRIZZI T EH2 R IH1 T S IY0 +TERRONES T EH1 R AH0 N Z +TERROR T EH1 R ER0 +TERRORISM T EH1 R ER0 IH2 Z AH0 M +TERRORIST T EH1 R ER0 IH0 S T +TERRORISTIC T EH2 R ER0 IH1 S T IH0 K +TERRORISTS T EH1 R ER0 AH0 S T S +TERRORISTS(2) T EH1 R ER0 IH0 S T S +TERRORISTS' T EH1 R ER0 IH0 S T S 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Z +TIPS T IH1 P S +TIPSTER T IH1 P S T ER0 +TIPSWORD T IH1 P S AO2 R D +TIPSY T IH1 P S IY0 +TIPTOE T IH1 P T OW2 +TIPTOED T IH1 P T OW2 D +TIPTOEING T IH1 P T OW2 IH0 NG +TIPTON T IH1 P T AH0 N +TIRADE T AY0 R EY1 D +TIRADES T AY0 R EY1 D Z +TIRADO T IH0 R AA1 D OW0 +TIRAMISU T IH2 R AH0 M IH1 S UW2 +TIRANA T IH1 R AA0 N AH0 +TIRANE T IH0 R EY1 N +TIRE T AY1 ER0 +TIRED T AY1 ER0 D +TIREDNESS T AY1 ER0 D N IH0 S +TIRELESS T AY1 ER0 L AH0 S +TIRELESSLY T AY1 R L AH0 S L IY0 +TIRELLO T IH0 R EH1 L OW0 +TIREMAKER T AY1 R M EY2 K ER0 +TIRES T AY1 ER0 Z +TIRESOME T AY1 ER0 S AH0 M +TIREY T AY1 R IY0 +TIRING T AY1 R IH0 NG +TIRONE T IH0 R OW1 N +TIROS T AY1 R OW0 Z +TIRPAK T ER1 P AH0 K +TIRRELL T IH0 R EY1 L +TIS T IH1 Z +TISCH T IH1 SH +TISCH'S T IH1 SH IH0 Z +TISCHER T IH1 SH ER0 +TISCHLER T IH1 SH AH0 L ER0 +TISCHLER(2) T IH1 SH L ER0 +TISDALE T IH1 S D EY0 L +TISDEL T IH1 S D AH0 L +TISDELL T IH1 S D AH0 L +TISH T IH1 SH +TISH'S T IH1 SH IH0 Z +TISHER T IH1 SH ER0 +TISHLER T IH1 SH L 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AO2 R IH0 S EH1 L IY0 +TORRID T AO1 R AH0 D +TORRIJOS T AO0 R IY1 OW0 S +TORRINGTON T AO1 R IH0 NG T AH0 N +TORRISI T AO0 R IY1 S IY0 +TORRY T AO1 R IY0 +TORSIELLO T AO0 R S IY0 EH1 L OW0 +TORSION T AO1 R SH AH0 N +TORSO T AO1 R S OW2 +TORSOS T AO1 R S OW2 Z +TORSTAR T AO1 R S T AA2 R +TORSTEN T AO1 R S T AH0 N +TORT T AO1 R T +TORTE T AO1 R T +TORTI T AO1 R T IY0 +TORTILLA T AO0 R T IY1 AH0 +TORTILLAS T AO2 R T IY1 AH0 Z +TORTOISE T AO1 R T AH0 S +TORTOISES T AO1 R T AH0 S AH0 Z +TORTORA T AO0 R T AO1 R AH0 +TORTORELLA T AO0 R T AO0 R EH1 L AH0 +TORTORELLI T AO0 R T AO0 R EH1 L IY0 +TORTORELLO T AO0 R T AO0 R EH1 L OW0 +TORTORICE T AO0 R T AO1 R IH0 S +TORTORICI T AO0 R T AO0 R IY1 CH IY0 +TORTORIELLO T AO0 R T AO0 R IY0 EH1 L OW0 +TORTS T AO1 R T S +TORTUOUS T AO1 R CH AH0 W AH0 S +TORTURE T AO1 R CH ER0 +TORTURED T AO1 R CH ER0 D +TORTURER T AO1 R CH ER0 ER0 +TORTURERS T AO1 R CH ER0 ER0 Z +TORTURES T AO1 R CH ER0 Z +TORTURING T AO1 R CH ER0 IH0 NG +TORTUROUS T AO1 R CH UW2 AH0 S 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T R EH1 K ER0 +TRACOR(3) T R EY1 K AO2 R +TRACOR(4) T R AE1 K AO2 R +TRACT T R AE1 K T +TRACTABLE T R AE1 K T AH0 B AH0 L +TRACTEBEL T R AE1 K T AH0 B AH0 L +TRACTION T R AE1 K SH AH0 N +TRACTOR T R AE1 K T ER0 +TRACTORS T R AE1 K T ER0 Z +TRACTS T R AE1 K T S +TRACY T R EY1 S IY0 +TRACY'S T R EY1 S IY0 Z +TRACZ T R AA1 CH +TRACZYK T R AA1 CH IH2 K +TRADABLE T R EY1 D AH0 B AH0 L +TRADE T R EY1 D +TRADE'S T R EY1 D Z +TRADE-OFF T R EY1 D AO2 F +TRADE-OFFS T R EY1 D AO2 F S +TRADEABLE T R EY1 D AH0 B AH0 L +TRADED T R EY1 D IH0 D +TRADEMARK T R EY1 D M AA2 R K +TRADEMARKED T R EY1 D M AA2 R K T +TRADEMARKS T R EY1 D M AA2 R K S +TRADEOFF T R EY1 D AO2 F +TRADEOFFS T R EY1 D AO2 F S +TRADER T R EY1 D ER0 +TRADER'S T R EY1 D ER0 Z +TRADERS T R EY1 D ER0 Z +TRADERS' T R EY1 D ER0 Z +TRADES T R EY1 D Z +TRADESMEN T R EY1 D Z M AH0 N +TRADING T R EY1 D IH0 NG +TRADING'S T R EY1 D IH0 NG Z +TRADINGS T R EY1 D IH0 NG Z +TRADITION T R AH0 D IH1 SH AH0 N +TRADITIONAL T R AH0 D IH1 SH AH0 N AH0 L 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AE1 M +TRAMBLE T R AE1 M B AH0 L +TRAMCO T R AE1 M K OW0 +TRAMEL T R AE1 M AH0 L +TRAMELL T R AA0 M EY1 L +TRAMIEL T R AE1 M IY0 AH0 L +TRAMMEL T R AE1 M AH0 L +TRAMMELL T R AE1 M AH0 L +TRAMONTANA T R AA0 M OW0 N T AE1 N AH0 +TRAMONTANO T R AA0 M OW0 N T AA1 N OW0 +TRAMONTE T R AA0 M OW1 N T IY0 +TRAMONTIN T R AH0 M AA1 N T IH0 N +TRAMP T R AE1 M P +TRAMPE T R AE1 M P +TRAMPED T R AE1 M P T +TRAMPING T R AE1 M P IH0 NG +TRAMPLE T R AE1 M P AH0 L +TRAMPLED T R AE1 M P AH0 L D +TRAMPLES T R AE1 M P AH0 L Z +TRAMPLING T R AE1 M P L IH0 NG +TRAMPOLINE T R AE2 M P AH0 L IY1 N +TRAMPS T R AE1 M P Z +TRAMS T R AE1 M Z +TRAN T R AE1 N +TRANBERG T R AE1 N B ER0 G +TRANCE T R AE1 N S +TRANCHE T R AE1 N CH +TRANCHES T R AE1 N CH EH0 Z +TRANCHINA T R AA0 N K IY1 N AH0 +TRANE T R EY1 N +TRANG T R AE1 NG +TRANI T R AA1 N IY0 +TRANQUIL T R AE1 NG K W AH0 L +TRANQUIL(2) T R AE1 NG K W IH0 L +TRANQUILITY T R AE0 NG K W IH1 L IH0 T IY0 +TRANQUILIZE T R AE1 NG K W AH0 L AY2 Z +TRANQUILIZER T R AE1 NG K W AH0 L AY2 Z ER0 +TRANQUILIZERS T R AE1 NG K W AH0 L AY2 Z ER0 Z +TRANQUILIZING T R AE1 NG K W AH0 L AY2 Z IH0 NG +TRANQUILLITY T R AE0 NG K W IH1 L IH0 T IY0 +TRANS T R AE1 N Z +TRANSACT T R AE0 N Z AE1 K T +TRANSACTED T R AE0 N S AE1 K T IH0 D +TRANSACTED(2) T R AE0 N Z AE1 K T IH0 D +TRANSACTION T R AE0 N Z AE1 K SH AH0 N +TRANSACTION'S T R AE0 N Z AE1 K SH AH0 N Z +TRANSACTIONS T R AE0 N Z AE1 K SH AH0 N Z +TRANSAFRICA T R AE2 N Z AE1 F R IH0 K AH0 +TRANSALASKA T R AE2 N Z AH0 L AE1 S K AH0 +TRANSALTA T R AE2 N Z AO1 L T AH0 +TRANSAMERICA T R AE2 N S AH0 M EH1 R IH0 K AH0 +TRANSAMERICA'S T R AE2 N Z AH0 M EH1 R IH0 K AH0 Z +TRANSAMERICAN T R AE2 N Z AH0 M EH1 R IH0 K AH0 N +TRANSAMERICAN'S T R AE2 N Z AH0 M EH1 R IH0 K AH0 N Z +TRANSATLANTIC T R AE2 N Z AH0 T L AE1 N T IH0 K +TRANSATLANTIC(2) T R AE2 N Z AH0 T L AE1 N IH0 K +TRANSCANADA T R AE2 N Z K AE1 N AH0 T AH0 +TRANSCANADA'S T R AE2 N Z K AE1 N AH0 D AH0 Z +TRANSCAPITAL T R AE2 N Z K AE1 P IH0 T AH0 L +TRANSCEND T R AE0 N S EH1 N D +TRANSCENDED T R AE0 N S EH1 N D IH0 D +TRANSCENDENCE T R AE0 N S EH1 N D AH0 N S +TRANSCENDENT T R AE0 N S EH1 N D AH0 N T +TRANSCENDENTAL T R AE2 N S AH0 N D EH1 N T AH0 L +TRANSCENDENTAL(2) T R AE2 N S AH0 N D EH1 N AH0 L +TRANSCENDING T R AE0 N S EH1 N D IH0 NG +TRANSCENDS T R AE0 N S EH1 N D Z +TRANSCHANNEL T R AH1 N S CH AE1 N AH0 L +TRANSCHANNEL'S T R AH1 N S CH AE1 N AH0 L Z +TRANSCISCO T R AE2 N S IH1 S K OW0 +TRANSCO T R AE1 N S K OW0 +TRANSCON T R AE1 N Z K AA0 N +TRANSCONTINENTAL T R AE2 N Z K AA2 N T IH0 N EH1 N T AH0 L +TRANSCONTINENTAL(2) T R AE2 N Z K AA2 N IH0 N EH1 N T AH0 L +TRANSCONTINENTAL(3) T R AE2 N Z K AA2 N T IH0 N EH1 N AH0 L +TRANSCONTINENTAL(4) T R AE2 N Z K AA2 N IH0 N EH1 N AH0 L +TRANSCONTINENTAL'S T R AE2 N Z K AA2 N T IH0 N EH1 N T AH0 L Z +TRANSCONTINENTAL'S(2) T R AE2 N Z K AA2 N IH0 N EH1 N T AH0 L Z +TRANSCONTINENTAL'S(3) T R AE2 N Z K AA2 N T IH0 N EH1 N AH0 L Z +TRANSCONTINENTAL'S(4) T R AE2 N Z K AA2 N IH0 N EH1 N AH0 L Z +TRANSCRIBE T R AE0 N S K R AY1 B +TRANSCRIBED T R AE0 N S K R AY1 B D +TRANSCRIBER T R AE0 N S K R AY1 B ER0 +TRANSCRIBERS T R AE0 N S K R AY1 B ER0 Z +TRANSCRIBES T R AE0 N S K R AY1 B Z +TRANSCRIBING T R AE0 N S K R AY1 B IH0 NG +TRANSCRIPT T R AE1 N S K R IH2 P T +TRANSCRIPTION T R AE2 N S K R IH1 P SH AH0 N +TRANSCRIPTIONS T R AE2 N S K R IH1 P SH AH0 N Z +TRANSCRIPTS T R AE1 N S K R IH2 P T S +TRANSDUCER T R AE0 N S D UW1 S ER0 +TRANSDUCERS T R AE0 N S D UW1 S ER0 Z +TRANSECT T R AE1 N S EH2 K T +TRANSECTED T R AE1 N S EH2 K T IH0 D +TRANSECTION T R AE1 N S EH2 K SH AH0 N +TRANSFER T R AE0 N S F ER1 +TRANSFER(2) T R AE1 N S F ER0 +TRANSFERABILITY T R AE2 N S F ER0 AH0 B IH1 L IH0 T IY0 +TRANSFERABLE T R AE0 N S F ER1 AH0 B AH0 L +TRANSFERED T R AE0 N S F ER1 D +TRANSFERENCE T R AE0 N S F ER1 AH0 N S +TRANSFERING T R AE0 N S F ER1 IH0 NG +TRANSFERRABLE T R AE2 N S F ER1 AH0 B AH0 L +TRANSFERRED T R AE0 N S F ER1 D +TRANSFERRED(2) T R AE1 N S F ER0 D +TRANSFERRING T R AE0 N S F ER1 IH0 NG +TRANSFERS T R AE0 N S F ER1 Z +TRANSFERS(2) T R AE1 N S F ER0 Z +TRANSFIX T R AE0 N S F IH1 K S +TRANSFIXED T R AE0 N S F IH1 K S T +TRANSFORM T R AE0 N S F AO1 R M +TRANSFORM(2) T R AE1 N S F AO0 R M +TRANSFORMATION T R AE2 N S F ER0 M EY1 SH AH0 N +TRANSFORMATIONAL T R AE2 N S F ER0 M EY1 SH AH0 N AH0 L +TRANSFORMATIONS T R AE2 N S F ER0 M EY1 SH AH0 N Z +TRANSFORMATIVE T R AE2 N S F AO1 R M AA0 T IH2 V +TRANSFORMED T R AE0 N S F AO1 R M D +TRANSFORMER T R AE0 N S F AO1 R M ER0 +TRANSFORMERS T R AE0 N S F AO1 R M ER0 Z +TRANSFORMING T R AE0 N S F AO1 R M IH0 NG +TRANSFORMS T R AE0 N S F AO1 R M Z +TRANSFUSE T R AE0 N S F Y UW1 Z +TRANSFUSED T R AE0 N S F Y UW1 Z D +TRANSFUSION T R AE0 N S F Y UW1 ZH AH0 N +TRANSFUSIONS T R AE0 N S F Y UW1 ZH AH0 N Z +TRANSGENDER T R AE1 N Z JH EH1 N D ER0 +TRANSGENIC T R AE2 N Z JH EH1 N IH0 K +TRANSGRESS T R AE0 N Z G R EH1 S +TRANSGRESSED T R AE0 N Z G R EH1 S T +TRANSGRESSES T R AE0 N Z G R EH1 S IH0 S +TRANSGRESSING T R AE0 N Z G R EH1 S IH0 NG +TRANSGRESSION T R AE0 N Z G R EH1 SH AH0 N +TRANSGRESSIONS T R AE0 N Z G R EH1 SH AH0 N Z +TRANSGRESSOR T R AE0 N Z G R EH1 S ER0 +TRANSIENCE T R AE1 N Z IY0 AH0 N S +TRANSIENT T R AE1 N ZH AH0 N T +TRANSIENTS T R AE1 N Z IY0 AH0 N T S +TRANSILLUMINATION T R AE2 N Z AH0 L UW2 M AH0 N EY1 SH AH0 N +TRANSIMAGE T R AE2 N Z IH1 M IH0 JH +TRANSISTOR T R AE0 N Z IH1 S T ER0 +TRANSISTORS T R AE0 N Z IH1 S T ER0 Z +TRANSIT T R AE1 N Z IH0 T +TRANSITED T R AE1 N Z IH0 T IH0 D +TRANSITING T R AE1 N Z IH0 T IH0 NG +TRANSITION T R AE0 N Z IH1 SH AH0 N +TRANSITIONAL T R AE0 N S IH1 SH AH0 N AH0 L +TRANSITIONAL(2) T R AE0 N Z IH1 SH AH0 N AH0 L +TRANSITIONING T R AE0 N Z IH1 SH AH0 N IH0 NG +TRANSITIONS T R AE0 N Z IH1 SH AH0 N Z +TRANSITORY T R AE1 N Z AH0 T AO2 R IY0 +TRANSITS T R AE1 N Z IH0 T S +TRANSKEI T R AE1 N Z K EY2 +TRANSLATE T R AE0 N Z L EY1 T +TRANSLATE(2) T R AE0 N S L EY1 T +TRANSLATED T R AE0 N Z L EY1 T IH0 D +TRANSLATED(2) T R AE0 N S L EY1 T IH0 D +TRANSLATES T R AE0 N Z L EY1 T S +TRANSLATES(2) T R AE1 N S L EY2 T S +TRANSLATING T R AE0 N Z L EY1 T IH0 NG +TRANSLATING(2) T R AE1 N S L EY2 T IH0 NG +TRANSLATION T R AE0 N Z L EY1 SH AH0 N +TRANSLATION(2) T R AE0 N S L EY1 SH AH0 N +TRANSLATIONS T R AE0 N Z L EY1 SH AH0 N Z +TRANSLATIONS(2) T R AE0 N S L EY1 SH AH0 N Z +TRANSLATOR T R AE0 N S L EY1 T ER0 +TRANSLATOR(2) T R AE0 N Z L EY1 T ER0 +TRANSLATORS T R AE0 N S L EY1 T ER0 Z +TRANSLATORS(2) T R AE0 N Z L EY1 T ER0 Z +TRANSLOGIC T R AE2 N Z L AA1 JH IH0 K +TRANSLUCENT T R AE0 N S L UW1 S AH0 N T +TRANSMARK T R AE1 N Z M AA2 R K +TRANSMEDIA T R AE2 N Z M IY1 D IY0 AH0 +TRANSMISSION T R AE0 N S M IH1 SH AH0 N +TRANSMISSION(2) T R AE0 N Z M IH1 SH AH0 N +TRANSMISSIONS T R AE0 N Z M IH1 SH AH0 N Z +TRANSMIT T R AE0 N Z M IH1 T +TRANSMITS T R AE0 N Z M IH1 T S +TRANSMITTABLE T R AE0 N Z M IH1 T AH0 B AH0 L +TRANSMITTAL T R AE0 N S M IH1 T AH0 L +TRANSMITTED T R AE0 N S M IH1 T IH0 D +TRANSMITTED(2) T R AE0 N Z M IH1 T AH0 D +TRANSMITTER T R AE0 N S M IH1 T ER0 +TRANSMITTER'S T R AE0 N S M IH1 T ER0 Z +TRANSMITTERS T R AE0 N S M IH1 T ER0 Z +TRANSMITTING T R AE0 N S M IH1 T IH0 NG +TRANSNATIONAL T R AE0 N S N AE1 SH AH0 N AH0 L +TRANSOCEANIC T R AE2 N Z OW0 SH IY0 AE1 N IH0 K +TRANSOHIO T R AE2 N Z OW0 HH AY1 OW0 +TRANSOM T R AE1 N S AH0 M +TRANSOMS T R AE1 N S AH0 M Z +TRANSOU T R AE1 N Z UW2 +TRANSPAC T R AE1 N Z P AE2 K +TRANSPACIFIC T R AE2 N S P AH0 S IH1 F IH0 K +TRANSPARENCIES T R AE0 N S P EH1 R AH0 N S IY0 Z +TRANSPARENCY T R AE0 N S P EH1 R AH0 N S IY0 +TRANSPARENT T R AE0 N S P EH1 R AH0 N T +TRANSPARENTLY T R AE0 N S P EH1 R AH0 N T L IY0 +TRANSPARK T R AE1 N S P AA1 R K +TRANSPIRE T R AE0 N S P AY1 ER0 +TRANSPIRED T R AE0 N S P AY1 ER0 D +TRANSPIRES T R AE0 N S P AY1 ER0 Z +TRANSPIRING T R AE0 N S P AY1 ER0 IH0 NG +TRANSPLANT T R AE0 N S P L AE1 N T +TRANSPLANTATION T R AE2 N Z P L AE0 N T EY1 SH AH0 N +TRANSPLANTED T R AE0 N S P L AE1 N T IH0 D +TRANSPLANTING T R AE0 N S P L AE1 N T IH0 NG +TRANSPLANTS T R AE0 N S P L AE1 N T S +TRANSPONDER T R AE0 N S P AA1 N D ER0 +TRANSPONDERS T R AE0 N S P AA1 N D ER0 Z +TRANSPORT T R AE0 N S P AO1 R T +TRANSPORT(2) T R AE1 N S P AO0 R T +TRANSPORTABLE T R AE0 N S P AO1 R T AH0 B AH0 L +TRANSPORTATION T R AE2 N S P ER0 T EY1 SH AH0 N +TRANSPORTATION'S T R AE2 N S P ER0 T EY1 SH AH0 N Z +TRANSPORTED T R AE0 N S P AO1 R T IH0 D +TRANSPORTER T R AE0 N S P AO1 R T ER0 +TRANSPORTERS T R AE0 N S P AO1 R T ER0 Z +TRANSPORTING T R AE0 N S P AO1 R T IH0 NG +TRANSPORTS T R AE0 N S P AO1 R T S +TRANSPORTS(2) T R AE1 N S P AO0 R T S +TRANSPOSE T R AE0 N S P OW1 Z +TRANSPOSED T R AE0 N S P OW1 Z D +TRANSRACIAL T R AE2 N Z R EY1 SH AH0 L +TRANSRAPID T R AE1 N Z R AE1 P IH0 D +TRANSSEXUAL T R AE0 N S EH1 K SH Y UW0 AH0 L +TRANSSEXUALS T R AE0 N S EH1 K SH Y UW0 AH0 L Z +TRANSTAR T R AE0 N S T AA1 R +TRANSTECHNOLOGY T R AE2 N Z T AH0 K N AA1 L AH0 JH IY0 +TRANSTECTOR T R AE2 N Z T EH1 K T ER0 +TRANSUE T R AE1 N Z UW0 +TRANSVAAL T R AE0 N Z V AA1 L +TRANSVERSE T R AE0 N Z V ER1 S +TRANSVESTITE T R AE0 N Z V EH1 S T AY0 T +TRANSVESTITES T R AE0 N Z V EH1 S T AY0 T S +TRANSWAY T R AE1 N Z W EY2 +TRANSWESTERN T R AE2 N Z W EH1 S T ER0 N +TRANSWORLD T R AE0 N S W ER1 L D +TRANSYLVANIA T R AE2 N Z IY0 L V EY1 N IY0 AH0 +TRANSYLVANIA(2) T R AE2 N S IH0 L V EY1 N Y AH0 +TRANT T R AE1 N T +TRANTER T R AE1 N T ER0 +TRANTHAM T R AE1 N TH AH0 M +TRANUM T R AE1 N AH0 M +TRANZONIC T R AE0 N Z AA1 N IH0 K +TRAP T R AE1 P +TRAPANI T R AA0 P AA1 N IY0 +TRAPASSO T R AA0 P AA1 S OW0 +TRAPELO T R AH0 P EH1 L OW0 +TRAPEZE T R AH0 P IY1 Z +TRAPHAGEN T R AE1 F AH0 G AH0 N +TRAPNELL T R AE1 P N AH0 L +TRAPP T R AE1 P +TRAPPE T R AE1 P +TRAPPED T R AE1 P T +TRAPPER T R AE1 P ER0 +TRAPPERS T R AE1 P ER0 Z +TRAPPING T R AE1 P IH0 NG +TRAPPINGS T R AE1 P IH0 NG Z +TRAPPIST T R AE1 P IH0 S T +TRAPS T R AE1 P S +TRASH T R AE1 SH +TRASHED T R AE1 SH T +TRASHES T R AE1 SH IH0 Z +TRASHING T R AE1 SH IH0 NG +TRASHY T R AE1 SH IY0 +TRASK T R AE1 S K +TRAUB T R AO1 B +TRAUDT T R AO1 D T +TRAUGER T R AW1 G ER0 +TRAUGH T R AO1 +TRAUGHBER T R AO1 B ER0 +TRAUGOTT T R AW1 G AH0 T +TRAUM T R AO1 M +TRAUMA T R AO1 M AH0 +TRAUMAS T R AO1 M AH0 Z +TRAUMATIC T R AO0 M AE1 T IH0 K +TRAUMATIZE T R AO1 M AH0 T AY2 Z +TRAUMATIZED T R AO1 M AH0 T AY2 Z D +TRAUSCH T R AW1 SH +TRAUT T R AO1 T +TRAUTH T R AO1 TH +TRAUTMAN T R AW1 T M AH0 N +TRAUTMANN T R AW1 T M AH0 N +TRAUTNER T R AW1 T N ER0 +TRAUTWEIN T R AW1 T W AY2 N +TRAVAGLINI T R AA0 V AA0 G L IY1 N IY0 +TRAVAIL T R AH0 V EY1 L +TRAVAILS T R AH0 V EY1 L Z +TRAVEL T R AE1 V AH0 L +TRAVELDAY T R AE1 V AH0 L D EY2 +TRAVELDAYS T R AE1 V AH0 L D EY2 Z +TRAVELED T R AE1 V AH0 L D +TRAVELER T R AE1 V AH0 L ER0 +TRAVELER(2) T R AE1 V L ER0 +TRAVELER'S T R AE1 V AH0 L ER0 Z +TRAVELERS T R AE1 V AH0 L ER0 Z +TRAVELERS(2) T R AE1 V L ER0 Z +TRAVELERS' T R AE1 V AH0 L ER0 Z +TRAVELGATE T R AE1 V AH0 L G EY2 T +TRAVELING T R AE1 V AH0 L IH0 NG +TRAVELING(2) T R AE1 V L IH0 NG +TRAVELLED T R AE1 V AH0 L D +TRAVELLER T R AE1 V AH0 L ER0 +TRAVELLERS T R AE1 V AH0 L ER0 Z +TRAVELLING T R AE1 V AH0 L IH0 NG +TRAVELLING(2) T R AE1 V L IH0 NG +TRAVELOCITY T R AE1 V AH0 L AA1 S AH0 T IY0 +TRAVELODGE T R AE1 V AH0 L AA1 JH +TRAVELOGUE T R AE1 V AH0 L AO2 G +TRAVELS T R AE1 V AH0 L Z +TRAVELSTEAD T R AE1 V AH0 L S T EH2 D +TRAVENOL T R AE1 V AH0 N AH0 L +TRAVER T R EY1 V ER0 +TRAVERS T R AE1 V ER0 Z +TRAVERSE T R AE1 V ER0 S +TRAVERSE(2) T R AH0 V ER1 S +TRAVERSED T R AE1 V ER0 S T +TRAVERSED(2) T R AH0 V ER1 S T +TRAVERSING T R AH0 V ER1 S IH0 NG +TRAVERSO T R AA0 V EH1 R S OW0 +TRAVESTIES T R AE1 V AH0 S T IY0 Z +TRAVESTY T R AE1 V AH0 S T IY0 +TRAVIATA T R AA0 V IY0 AA1 T AH0 +TRAVIESO T R AA0 V IY1 S OW0 +TRAVIS T R AE1 V IH0 S +TRAVISANO T R AE2 V IH0 S AA1 N OW0 +TRAVNIK T R AE1 V N IH0 K +TRAVOLTA T R AH0 V OW1 L T AH0 +TRAVOLTA'S T R AH0 V OW1 L T AH0 Z +TRAVOLTAS T R AH0 V OW1 L T AH0 Z +TRAWEEK T R AO1 IY2 K +TRAWICK T R AO1 IH0 K +TRAWLER T R AO1 L ER0 +TRAWLERS T R AO1 L ER0 Z +TRAX T R AE1 K S +TRAXLER T R AE1 K S L ER0 +TRAY T R EY1 +TRAYER T R EY1 ER0 +TRAYLOR T R EY1 L ER0 +TRAYNHAM T R EY1 N HH AH0 M +TRAYNOR T R EY1 N ER0 +TRAYS T R EY1 Z +TRAYWICK T R EY1 W IH2 K +TRBOVICH T ER0 B AA1 V IH0 CH +TRE T R EY1 +TREACHEROUS T R EH1 CH ER0 AH0 S +TREACHERY T R EH1 CH ER0 IY0 +TREACY T R EY1 S IY0 +TREAD T R EH1 D +TREADAWAY T R EH1 D AH0 W EY2 +TREADING T R EH1 D IH0 NG +TREADMILL T R EH1 D M IH2 L +TREADMILLS T R EH1 D M IH2 L Z +TREADS T R EH1 D Z +TREADSTONE T R EH1 D S T OW2 N +TREADWAY T R EH1 D W EY2 +TREADWELL T R EH1 D W EH2 L +TREADWHEEL T R EH1 D W IY2 L +TREANOR T R IY1 N ER0 +TREASE T R IY1 Z +TREASON T R IY1 Z AH0 N +TREASONOUS T R IY1 Z AH0 N AH2 S +TREASONS T R IY1 Z AH0 N S +TREASTER T R IY1 S T ER0 +TREASURE T R EH1 ZH ER0 +TREASURED T R EH1 ZH ER0 D +TREASURER T R EH1 ZH ER0 ER0 +TREASURER'S T R EH1 ZH ER0 ER0 Z +TREASURERS T R EH1 ZH ER0 ER0 Z +TREASURES T R EH1 ZH ER0 Z +TREASURIES T R EH1 ZH ER0 IY0 Z +TREASURY T R EH1 ZH ER0 IY0 +TREASURY'S T R EH1 ZH ER0 IY0 Z +TREASURYS T R EH1 ZH ER0 IY0 Z +TREAT T R IY1 T +TREATABLE T R IY1 T AH0 B AH0 L +TREATED T R IY1 T IH0 D +TREATER T R IY1 T ER0 +TREATERS T R IY1 T ER0 Z +TREATIES T R IY1 T IY0 Z +TREATING T R IY1 T IH0 NG +TREATISE T R IY1 T AH0 S +TREATISES T R IY1 T AH0 S AH0 Z +TREATMENT T R IY1 T M AH0 N T +TREATMENTS T R IY1 T M AH0 N T S +TREATS T R IY1 T S +TREATY T R IY1 T IY0 +TREATY'S T R IY1 T IY0 Z +TREBILCOCK T R IH0 B IH1 L K AH0 K +TREBLE T R EH1 B AH0 L +TREBLED T R EH1 B AH0 L D +TREBLINKA T R EH0 B L IH1 NG K ER0 +TREBLINKA(2) T R EH0 B L IH1 NG K AH0 +TRECKER T R EH1 K ER0 +TREDER T R IY1 D ER0 +TREDWAY T R EH1 D W EY2 +TREE T R IY1 +TREECE T R IY1 S +TREELESS T R IY1 L AH0 S +TREEN T R IY1 N +TREES T R IY1 Z +TREESE T R IY1 Z +TREESH T R IY1 SH +TREESWEET T R IY1 S W IY2 T +TREETOP T R IY1 T AO2 P +TREETOPS T R IY1 T AO2 P S +TREFETHEN T R EH1 F IH0 TH AH0 N +TREFGARNE T R EH1 F G AA0 R N +TREFRY T R EH1 F R IY0 +TREFZ T R EH1 F Z +TREGLIA T R EH1 G L IY0 AH0 +TREGO T R EH1 G OW0 +TREGONING T R EH1 G AH0 N IH0 NG +TREGRE T R EH1 G ER0 +TREGURTHA T R EH0 G ER1 TH AH0 +TREHARNE T R EH1 HH AA0 R N +TREIBER T R AY1 B ER0 +TREICHEL T R AY1 K AH0 +TREICHLER T R AY1 K AH0 L ER0 +TREICHLER(2) T R AY1 K L ER0 +TREINEN T R AY1 N AH0 N +TREJO T R EY1 Y OW0 +TREK T R EH1 K +TREKKED T R EH1 K T +TREKKING T R EH1 K IH0 NG +TREKS T R EH1 K S +TRELA T R EH1 L AH0 +TRELLA T R EH1 L AH0 +TRELLEBORG T R EH1 L AH0 B AO0 R G +TRELLEBORG'S T R EH1 L AH0 B AO0 R G Z +TRELLIS T R EH1 L AH0 S +TRELOAR T R EH1 L AO0 R +TREMAIN T R EH1 M AY0 N +TREMAINE T R IH0 M EY1 N +TREMAYNE T R EH1 M EY0 N +TREMBATH T R EH1 M B AH0 TH +TREMBLAY T R EH1 M B L EY0 +TREMBLE T R EH1 M B AH0 L +TREMBLED T R EH1 M B AH0 L D +TREMBLEY T R EH1 M B L IY0 +TREMBLING T R EH1 M B AH0 L IH0 NG +TREMBLING(2) T R EH1 M B L IH0 NG +TREMBLY T R EH1 M B L IY0 +TREMEL T R EH1 M AH0 L +TREMENDOUS T R AH0 M EH1 N D AH0 S +TREMENDOUS(2) T R IH0 M EH1 N D AH0 S +TREMENDOUSLY T R AH0 M EH1 N D AH0 S L IY0 +TREMENDOUSLY(2) T R IH0 M EH1 N D AH0 S L IY0 +TREMENS T R EH1 M AH0 N Z +TREML T R EH1 M AH0 L +TREMMEL T R EH1 M AH0 L +TREMONT T R EH1 M AH0 N T +TREMOR T R EH1 M ER0 +TREMORS T R EH1 M ER0 Z +TREMPER T R EH1 M P ER0 +TREMULOUS T R EH1 M Y AH0 L AH0 S +TREMULOUSLY T R EH1 M Y AH0 L AH0 S L IY0 +TRENARY T R EH1 N EH0 R IY0 +TRENCH T R EH1 N CH +TRENCHANT T R EH1 N CH AH0 N T +TRENCHARD T R EH1 NG K ER0 D +TRENCHER T R EH1 N CH ER0 +TRENCHES T R EH1 N CH IH0 Z +TREND T R EH1 N D +TRENDED T R EH1 N D IH0 D +TRENDIER T R EH1 N D Y ER0 +TRENDIER(2) T R EH1 N D IY0 ER0 +TRENDIEST T R EH0 N D IY1 S T +TRENDIEST(2) T R EH1 N D IY0 AH0 S T +TRENDING T R EH1 N D IH0 NG +TRENDLESS T R EH1 N D L AH0 S +TRENDLINE T R EH1 N D L AY2 N +TRENDS T R EH1 N D Z +TRENDS(2) T R EH1 N Z +TRENDSETTER T R EH1 N D S EH2 T ER0 +TRENDY T R EH1 N D IY0 +TRENHOLM T R EH1 N HH OW2 L M +TRENKAMP T R EH1 N K AE2 M P +TRENKLE T R EH1 NG K AH0 L +TRENT T R EH1 N T +TRENT'S T R EH1 N T S +TRENTE-ET-QUARANTE T R EY1 N T EY0 K W AA2 R EH1 N T EY0 +TRENTHAM T R EH1 N TH AH0 M +TRENTMAN T R EH1 N T M AH0 N +TRENTON T R EH1 N T AH0 N +TRENTON'S T R EH1 N T AH0 N Z +TREON T R IY1 AH0 N +TREPAGNIER T R EH1 P AH0 G N IY2 ER0 +TREPANIER T R EH1 P AH0 N IY2 ER0 +TREPIDATION T R EH2 P IH0 D EY1 SH AH0 N +TREPPEL T R EH1 P AH0 L +TREPTOW T R EH1 P T OW0 +TRESCH T R EH1 SH +TRESCOTT T R EH1 S K AH0 T +TRESPASS T R EH1 S P AE2 S +TRESPASS(2) T R EH1 S P AH0 S +TRESPASSING T R EH1 S P AE2 S IH0 NG +TRESPASSING(2) T R EH1 S P AH0 S IH0 NG +TRESS T R EH1 S +TRESSEL T R EH1 S AH0 L +TRESSES T R EH1 S IH0 Z +TRESSLER T R EH1 S L ER0 +TREST T R EH1 S T +TRESTER T R EH1 S T ER0 +TRESTLE T R EH1 S AH0 L +TRETHEWEY T R EH1 TH Y UW0 IY0 +TRETINOIN T R EH1 T IH0 N OY2 N +TRETTEL T R EH1 T AH0 L +TRETTER T R EH1 T ER0 +TRETTIN T R EH1 T IH0 N +TREU T R UW1 +TREUHAND T R UW1 HH AE2 N D +TREUHANDANSTALT T R UW2 HH AE1 N D AH0 N S T AA2 L T +TREURNICHT T R UW1 R N IH0 K T +TREVATHAN T R EH1 V AH0 TH AH0 N +TREVELYAN T R AH0 V EH1 L Y AH0 N +TREVINO T R AH0 V IY1 N OW0 +TREVISO T R EH0 V IY1 S OW0 +TREVIZO T R EH0 V IY1 Z OW0 +TREVOR T R EH1 V ER0 +TREW T R UW1 +TREXLER T R EH1 K S L ER0 +TREY T R EY1 +TREYBIG T R EY1 B IH0 G +TREZISE T R EH1 Z AY0 Z +TREZZA T R EH1 Z AH0 +TRI T R AY1 +TRI-STATE T R AY1 S T EY1 T +TRIAD T R AY1 AE2 D +TRIAD'S T R AY1 AE2 D Z +TRIADS T R AY1 AE2 D Z +TRIAGE T R AY1 IH0 JH +TRIAL T R AY1 AH0 L +TRIAL(2) T R AY1 L +TRIAL'S T R AY1 AH0 L Z +TRIALS T R AY1 AH0 L Z +TRIALS(2) T R AY1 L Z +TRIANA T R IY0 AE1 N AH0 +TRIANGLE T R AY1 AE2 NG G AH0 L +TRIANGLE'S T R AY1 AE2 NG G AH0 L Z +TRIANGLES T R AY1 AE2 NG G AH0 L Z +TRIANGULAR T R AY0 AE1 NG G Y AH0 L ER0 +TRIANGULATION T R AY0 AE2 NG G Y UW0 L EY1 SH AH0 N +TRIANO T R IY0 AA1 N OW0 +TRIARC T R AY1 AA2 R K +TRIASSIC T R AY2 AE1 S IH2 K +TRIATHLON T R AY2 AE1 TH L AH0 N +TRIB T R IH1 B +TRIBAL T R AY1 B AH0 L +TRIBALISM T R AY1 B AH0 L IH0 Z M +TRIBALISM(2) T R AY1 B AH0 L IH0 Z AH0 M +TRIBASA T R AY1 B AE1 S AH0 +TRIBBETT T R IH1 B IH0 T +TRIBBEY T R IH1 B IY0 +TRIBBLE T R IH1 B AH0 L +TRIBBLES T R IH1 B AH0 L Z +TRIBBY T R IH1 B IY0 +TRIBE T R AY1 B +TRIBE'S T R AY1 B Z +TRIBECA T R IH0 B EH1 K AH0 +TRIBES T R AY1 B Z +TRIBESMAN T R AY1 B Z M AE0 N +TRIBESMEN T R AY1 B Z M IH0 N +TRIBLE T R IH1 B AH0 L +TRIBOROUGH T R AY1 B ER0 OW0 +TRIBULATION T R IH2 B Y AH0 L EY1 SH AH0 N +TRIBULATIONS T R IH2 B Y AH0 L EY1 SH AH0 N Z +TRIBULL T R IH1 B AH0 L +TRIBUNAL T R AH0 B Y UW1 N AH0 L +TRIBUNALS T R AY2 B Y UW1 N AH0 L Z +TRIBUNE T R IH1 B Y UW0 N +TRIBUNE'S T R IH1 B Y UW0 N Z +TRIBUTARIES T R IH1 B Y AH0 T EH2 R IY0 Z +TRIBUTARY T R IH1 B Y AH0 T EH2 R IY0 +TRIBUTE T R IH1 B Y UW0 T +TRIBUTE'S T R IH1 B Y UW0 T S +TRIBUTES T R IH1 B Y UW0 T S +TRICARICO T R IY0 K AA0 R IY1 K OW0 +TRICE T R AY1 S +TRICENTROL T R AY2 S EH1 N T R AA0 L +TRICENTROL'S T R AY2 S EH1 N T R AA0 L Z +TRICEPS T R AY1 S EH2 P S +TRICERATOPS T R AY2 S EH1 R AH0 T AO2 P S +TRICHE T R IH1 CH +TRICHET T R IH1 CH IH0 T +TRICIA T R IH1 SH AH0 +TRICIA'S T R IH1 SH AH0 Z +TRICIL T R IH1 S IH0 L +TRICK T R IH1 K +TRICKED T R IH1 K T +TRICKEL T R IH1 K AH0 L +TRICKERY T R IH1 K ER0 IY0 +TRICKETT T R IH1 K IH0 T +TRICKEY T R IH1 K IY0 +TRICKIER T R IH1 K IY0 ER0 +TRICKIEST T R IH1 K IY0 AH0 S T +TRICKING T R IH1 K IH0 NG +TRICKLE T R IH1 K AH0 L +TRICKLED T R IH1 K AH0 L D +TRICKLES T R IH1 K AH0 L Z +TRICKLING T R IH1 K L IH0 NG +TRICKS T R IH1 K S +TRICKSTER T R IH1 K S T ER0 +TRICKSTERS T R IH1 K S T ER0 Z +TRICKY T R IH1 K IY0 +TRICO T R IY1 K OW0 +TRICUSPID T R AY0 K AH1 S P AH0 D +TRICYCLE T R IH1 S IH0 K AH0 L +TRIDENT T R AY1 D AH0 N T +TRIDEX T R IH1 D EH2 K S +TRIE T R AY1 +TRIED T R AY1 D +TRIENNIAL T R AY0 EH1 N IY0 AH0 L +TRIER T R AY1 ER0 +TRIERWEILER T R IH1 R W AY0 L ER0 +TRIES T R AY1 Z +TRIESTE T R IY1 S T +TRIEU T R UW1 +TRIFARI T R IH0 F AA1 R IY0 +TRIFECTA T R AY0 F EH1 K T AH0 +TRIFLE T R AY1 F AH0 L +TRIFLES T R AY1 F AH0 L Z +TRIFLING T R AY1 F L IH0 NG +TRIG T R IH1 G +TRIGG T R IH1 G +TRIGGER T R IH1 G ER0 +TRIGGERED T R IH1 G ER0 D +TRIGGERING T R IH1 G ER0 IH0 NG +TRIGGERS T R IH1 G ER0 Z +TRIGGS T R IH1 G Z +TRIGLYCERIDE T R AY0 G L IH1 S ER0 AY2 D +TRIGLYCERIDES T R AY0 G L IH1 S ER0 AY2 D Z +TRIGO T R IY1 G OW0 +TRILATERAL T R AY0 L AE1 T ER0 AH0 L +TRILBY T R IH1 L B IY0 +TRILL T R IH1 L +TRILLIN T R IH1 L IH0 N +TRILLING T R IH1 L IH0 NG +TRILLION T R IH1 L Y AH0 N +TRILLIONS T R IH1 L Y AH0 N Z +TRILLO T R IH1 L OW0 +TRILOGY T R IH1 L AH0 JH IY0 +TRILON T R IH1 L AH0 N +TRIM T R IH1 M +TRIMAC T R IH1 M AE0 K +TRIMARCHI T R IY0 M AA1 R K IY0 +TRIMARCO T R IH0 M AA1 R K OW0 +TRIMAS T R IY1 M AH0 S +TRIMBLE T R IH1 M B AH0 L +TRIMBOLI T R IY0 M B OW1 L IY0 +TRIMEDYNE T R AY1 M D AY2 N +TRIMESTER T R AY0 M EH1 S T ER0 +TRIMETREXATE T R IH0 M EH1 T R AH0 K S EY2 T +TRIMM T R IH1 M +TRIMMED T R IH1 M D +TRIMMER T R IH1 M ER0 +TRIMMERS T R IH1 M ER0 Z +TRIMMING T R IH1 M IH0 NG +TRIMMINGS T R IH1 M IH0 NG Z +TRIMPE T R IH1 M P +TRIMS T R IH1 M Z +TRINCOMALEE T R IH0 NG K OW1 M AH0 L IY0 +TRINE T R AY1 N +TRINGALI T R IH0 NG G AA1 L IY0 +TRINH T R IH1 N +TRINIDAD T R IH1 N IH0 D AE2 D +TRINITY T R IH1 N AH0 T IY0 +TRINITY(2) T R IH1 N IH0 T IY0 +TRINITY'S T R IH1 N IH0 T IY0 Z +TRINKA T R IH1 NG K AH0 +TRINKET T R IH1 NG K AH0 T +TRINKETS T R IH1 NG K AH0 T S +TRINKLE T R IH1 NG K AH0 L +TRINOVA T R AY2 N OW1 V AH0 +TRINTEX T R IH1 N T EH2 K S +TRIO T R IY1 OW2 +TRIO'S T R IY1 OW2 Z +TRIOLA T R IY0 OW1 L AH0 +TRIOLO T R IY0 OW1 L OW0 +TRIOMPHE T R IY0 OW1 M F +TRIP T R IH1 P +TRIP'S T R IH1 P S +TRIPARTITE T R AY0 P AA1 R T AY2 T +TRIPE T R AY1 P +TRIPI T R IY1 P IY0 +TRIPLE T R IH1 P AH0 L +TRIPLECAST T R IH1 P AH0 L K AE2 S T +TRIPLED T R IH1 P AH0 L D +TRIPLES T R IH1 P AH0 L Z +TRIPLET T R IH1 P L AH0 T +TRIPLETS T R IH1 P L AH0 T S +TRIPLETT T R IH1 P L IH0 T +TRIPLEX T R IH0 P L EH1 K S +TRIPLICATE T R IH1 P L IH0 K AH0 T +TRIPLING T R IH1 P AH0 L IH0 NG +TRIPLING(2) T R IH1 P L IH0 NG +TRIPOD T R AY1 P AA2 D +TRIPODI T R IY0 P OW1 D IY0 +TRIPODS T R AY1 P AA2 D Z +TRIPOLI T R IH1 P AH0 L IY0 +TRIPOLI'S T R IH1 P AH0 L IY0 Z +TRIPP T R IH1 P +TRIPP'S T R IH1 P S +TRIPPE T R IH1 P +TRIPPED T R IH1 P T +TRIPPEL T R IH1 P AH0 L +TRIPPER T R IH1 P ER0 +TRIPPERS T R IH1 P ER0 Z +TRIPPETT T R IH1 P IH0 T +TRIPPIE T R IH1 P IY0 +TRIPPING T R IH1 P IH0 NG +TRIPPLE T R IH1 P AH0 L +TRIPPY T R IH1 P IY2 +TRIPS T R IH1 P S +TRIPTYCH T R IH1 P T IH0 K +TRIPTYCHS T R IH1 P T IH0 K S +TRIREME T R AY1 R IY2 M +TRIREMES T R AY1 R IY2 M Z +TRISH T R IH1 SH +TRISHA T R IH1 SH AH0 +TRISHA'S T R IH1 SH AH0 Z +TRISKA T R IH1 S K AH0 +TRISLER T R IH1 S AH0 L ER0 +TRISLER(2) T R IH1 S L ER0 +TRISM T R IH1 Z AH0 M +TRISTA T R IH1 S T AH0 +TRISTAN T R IH1 S T AE2 N +TRISTAR T R AY1 S T AA2 R +TRISTATE T R AY1 S T EY2 T +TRISTRAM T R IH1 S T R AH0 M +TRITCH T R IH1 CH +TRITE T R AY1 T +TRITES T R AY1 T S +TRITIUM T R IH1 T IY0 AH0 M +TRITON T R AY1 T AH0 N +TRITON'S T R AY1 T AH0 N Z +TRITSCH T R IH1 CH +TRITSCHLER T R IH1 CH L ER0 +TRITT T R IH1 T +TRITZ T R IH1 T S +TRIUMPH T R AY1 AH0 M F +TRIUMPHAL T R AY0 AH1 M F AH0 L +TRIUMPHANT T R AY0 AH1 M F AH0 N T +TRIUMPHANTLY T R AY0 AH1 M F AH0 N T L IY0 +TRIUMPHED T R AY1 AH0 M F T +TRIUMPHS T R AY1 AH0 M F S +TRIUMVIRATE T R AY0 AH1 M V ER0 AH0 T +TRIVEDI T R IY0 V EH1 D IY0 +TRIVEST T R IH1 V AH0 S T +TRIVEST(2) T R AY1 V EH2 S T +TRIVETT T R IH1 V IH0 T +TRIVETTE T R IH0 V EH1 T +TRIVIA T R IH1 V IY0 AH0 +TRIVIAL T R IH1 V IY0 AH0 L +TRIVIALITY T R IH2 V IY0 AE1 L AH0 T IY2 +TRIVIALIZE T R IH1 V IY0 AH0 L AY2 Z +TRIVIALIZED T R IH1 V IY0 AH0 L AY2 Z D +TRIVIALIZES T R IH1 V IY0 AH0 L AY2 Z IH0 Z +TRIVIALIZING T R IH1 V IY0 AH0 L AY2 Z IH0 NG +TRIXIE T R IH1 K S IY0 +TRIXY T R IH1 K S IY0 +TRIZEC T R IH1 Z AH0 K +TRIZEC'S T R IH1 Z EH0 K S +TRNKA T R IH1 NG K AH0 +TRNOPOLJE T EH2 R N AH0 P AO1 L Y EH0 +TROBAUGH T R AA1 B AO0 +TROCHE T R AA1 CH +TROCHMANN T R AA1 CH M AE0 N +TROCHMANN(2) T R AA1 K M AE0 N +TROCKI T R AA1 K IY0 +TROD T R AA1 D +TRODDEN T R AA1 D AH0 N +TROEGER T R OW1 G ER0 +TROENDLE T R OW1 N D AH0 L +TROESTER T R OW1 S T ER0 +TROGDON T R AA1 G D AH0 N +TROHA T R OW1 HH AH0 +TROIA T R OW1 Y AH0 +TROIANI T R OW0 Y AA1 N IY0 +TROIANO T R OW0 IY0 AA1 N OW0 +TROIKA T R OY1 K AH0 +TROIS T W AA1 +TROISE T R OY1 Z +TROISI T R OY1 S IY0 +TROJAN T R OW1 JH AH0 N +TROJANOWSKI T R AH0 Y AH0 N AO1 F S K IY0 +TROJANS T R OW1 JH AH0 N Z +TROKEL T R OW1 K AH0 L +TROLINGER T R OW1 L IH0 NG ER0 +TROLL T R OW1 L +TROLL'S T R OW1 L Z +TROLLEY T R AA1 L IY0 +TROLLEYS T R AA1 L IY0 Z +TROLLING T R OW1 L IH0 NG +TROLLINGER T R OW1 L IH0 NG ER0 +TROLLS T R OW1 L Z +TROMA T R OW1 M AH0 +TROMBINO T R OW0 M B IY1 N OW0 +TROMBLE T R AA1 M B AH0 L +TROMBLEY T R AA1 M B L IY0 +TROMBLY T R AA1 M B L IY0 +TROMBONE T R AA0 M B OW1 N +TROMBONES T R AA0 M B OW1 N Z +TROMBONIST T R AA2 M B OW1 N IH0 S T +TROMP T R AA1 M P +TROMPETER T R AA1 M P IY0 T ER0 +TRON T R AA1 N +TRONCOSO T R OW0 N K OW1 S OW0 +TRONE T R OW1 N +TRONIC T R AA1 N IH0 K +TROON T R UW1 N +TROOP T R UW1 P +TROOP'S T R UW1 P S +TROOPED T R UW1 P T +TROOPER T R UW1 P ER0 +TROOPER'S T R UW1 P ER0 Z +TROOPERS T R UW1 P ER0 Z +TROOPERS' T R UW1 P ER0 Z +TROOPING T R UW1 P IH0 NG +TROOPS T R UW1 P S +TROOPS' T R UW1 P S +TROOST T R UW1 S T +TROPEA T R OW1 P IY0 AH0 +TROPEANO T R OW2 P IY1 N OW0 +TROPHIES T R OW1 F IY0 Z +TROPHY T R OW1 F IY0 +TROPIC T R AA1 P IH0 K +TROPICAL T R AA1 P IH0 K AH0 L +TROPICANA T R AA2 P IH0 K AE1 N AH0 +TROPICANA'S T R AA2 P IH0 K AE1 N AH0 Z +TROPICS T R AA1 P IH0 K S +TROPOPAUSE T R AA1 P AH0 P AO2 Z +TROPP T R AA1 P +TROPWORLD T R AA1 P W ER0 L D +TROSCH T R AA1 SH +TROSCLAIR T R AH0 S K L EH1 R +TROSPER T R AA1 S P ER0 +TROST T R AA1 S T +TROSTEL T R AA1 S T AH0 L +TROSTLE T R AA1 S AH0 L +TROT T R AA1 T +TROTH T R OW1 TH +TROTH(2) T R AO1 TH +TROTMAN T R AA1 T M AH0 N +TROTS T R AA1 T S +TROTSKY T R AA1 T S K IY2 +TROTT T R AA1 T +TROTTED T R AA1 T IH0 D +TROTTEN T R AA1 T AH0 N +TROTTER T R AA1 T ER0 +TROTTIER T R AA1 T IY0 ER0 +TROTTING T R AA1 T IH0 NG +TROUBADOUR T R UW1 B AH0 D AO2 R +TROUBH T R UW1 B +TROUBLE T R AH1 B AH0 L +TROUBLED T R AH1 B AH0 L D +TROUBLEFIELD T R AH1 B AH0 L F IY2 L D +TROUBLEMAKER T R AH1 B AH0 L M EY2 K ER0 +TROUBLEMAKERS T R AH1 B AH0 L M EY2 K ER0 Z +TROUBLES T R AH1 B AH0 L Z +TROUBLESHOOT T R AH1 B AH0 L SH UW2 T +TROUBLESHOOTER T R AH1 B AH0 L SH UW2 T ER0 +TROUBLESHOOTING T R AH1 B AH0 L SH UW2 T IH0 NG +TROUBLESHOOTS T R AH1 B AH0 L SH UW2 T S +TROUBLESOME T R AH1 B AH0 L S AH0 M +TROUBLING T R AH1 B AH0 L IH0 NG +TROUBLING(2) T R AH1 B L IH0 NG +TROUDT T R AW1 D T +TROUGH T R AO1 F +TROUGHS T R AO1 F S +TROUNCE T R AW1 N S +TROUNCED T R AW1 N S T +TROUNCING T R AW1 N S IH0 NG +TROUNG T R AW1 NG +TROUP T R UW1 P +TROUPE T R UW1 P +TROUPE'S T R UW1 P S +TROUPES T R UW1 P S +TROUSDALE T ER1 AH0 S D EY0 L +TROUSER T R AW1 Z ER0 +TROUSERS T R AW1 Z ER0 Z +TROUT T R AW1 T +TROUT'S T R AW1 T S +TROUTMAN T R AW1 T M AH0 N +TROUTNER T R AW1 T N ER0 +TROUTT T R AW1 T +TROUTWINE T R AW1 T W AY2 N +TROVATO T R OW0 V AA1 T OW0 +TROVATORE T R OW1 V AH0 T AO2 R +TROVE T R OW1 V +TROW T R OW1 +TROWBRIDGE T R OW1 B R IH0 JH +TROWEL T R AW1 W EH0 L +TROWELL T R AA1 W EH0 L +TROWER T R AW1 ER0 +TROXEL T R AA1 K S AH0 L +TROXELL T R AA1 K S AH0 L +TROXLER T R AA1 K S L ER0 +TROY T R OY1 +TROYAN T R OY1 AH0 N +TROYANOS T R OY2 AA1 N OW0 S +TROYAT T R OY1 AE0 T +TROYER T R OY1 ER0 +TROYKA T R OY1 K AH0 +TROYU T R OY0 UW1 +TRUANCY T R UW1 AH0 N S IY0 +TRUANT T R UW1 AH0 N T +TRUAX T R UW1 AE0 K S +TRUBEY T R UW1 B IY0 +TRUBY T R UW1 B IY0 +TRUCCO T R UW1 K OW0 +TRUCE T R UW1 S +TRUCHAN T R AH1 CH AH0 N +TRUCK T R AH1 K +TRUCK'S T R AH1 K S +TRUCKED T R AH1 K T +TRUCKEE T R AH1 K IY0 +TRUCKER T R AH1 K ER0 +TRUCKERS T R AH1 K ER0 Z +TRUCKERS' T R AH1 K ER0 Z +TRUCKING T R AH1 K IH0 NG +TRUCKLOAD T R AH1 K L OW2 D +TRUCKLOADS T R AH1 K L OW2 D Z +TRUCKS T R AH1 K S +TRUCKS' T R AH1 K S +TRUCULENT T R AH1 K Y AH0 L AH0 N T +TRUDA T R UW1 D AH0 +TRUDE T R UW1 D +TRUDEAU T R UW0 D OW1 +TRUDEL T R UW1 D AH0 L +TRUDELL T R AH1 D AH0 L +TRUDGE T R AH1 JH +TRUDGED T R AH1 JH D +TRUDGEN T R AH1 JH AH0 N +TRUDGES T R AH1 JH IH0 Z +TRUDGING T R AH1 JH IH0 NG +TRUDIA T R UW1 D IY0 AH0 +TRUDIE T R UW1 D IY0 +TRUDO T R UW1 D OW0 +TRUDY T R UW1 D IY0 +TRUE T R UW1 +TRUE-VIEW T R UW1 V Y UW1 +TRUEBLOOD T R UW1 B L AH2 D +TRUELL T R UW1 AH0 L +TRUELOVE T R UW1 L AH2 V +TRUEMAN T R UH1 M AH0 N +TRUER T R UW1 ER0 +TRUESDALE T R UW1 Z D EY2 L +TRUESDELL T R UW1 Z D EH2 L +TRUEST T R UW1 IH0 S T +TRUETT T R UW1 T +TRUEX T R UW1 EH2 K S +TRUFFAUT T R UW0 F OW1 +TRUFFAUT'S T R UW0 F OW1 Z +TRUFFLE T R AH1 F AH0 L +TRUFFLES T R AH1 F AH0 L Z +TRUGLIO T R AH1 G L IY0 OW0 +TRUICKO T R UW1 K OW0 +TRUICKO(2) T R UW2 IY1 K OW0 +TRUISM T R UW1 IH0 Z AH0 M +TRUITT T R UW1 T +TRUJILLO T R UW0 HH IY1 OW0 +TRULL T R AH1 L +TRULLINGER T R AH1 L IH0 NG ER0 +TRULOCK T R AH1 L AH0 K +TRULOVE T R UW0 L OW1 V IY0 +TRULSON T R AH1 L S AH0 N +TRULUCK T R AH1 L AH0 K +TRULY T R UW1 L IY0 +TRUMAN T R UW1 M AH0 N +TRUMAN'S T R UW1 M AH0 N Z +TRUMBLE T R AH1 M B AH0 L 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AA2 R T +TRYBA T R IH1 B AH0 +TRYBUS T R IH1 B IH0 S +TRYGG T R IH1 G +TRYGSTAD T R IH1 G S T AH0 D +TRYGVE T R IH1 G V IY0 +TRYIN' T R AY1 IH0 N +TRYING T R AY1 IH0 NG +TRYING(2) T R AY1 NG +TRYON T R AY1 AH0 N +TRYOUT T R AY1 AW2 T +TRYOUTS T R AY1 AW2 T S +TRYPHENA T R IH1 F IH0 N AH0 +TRYST T R IH1 S T +TRYST(2) T R AY1 S T +TRZASKA T ER0 Z AA1 S K AH0 +TRZCINSKI T ER0 ZH IH1 N S K IY0 +TRZECIAK T ER0 Z EH1 CH IY0 AE0 K +TS T IY1 EH1 S +TSAI T S AY1 +TSAI(2) S AY1 +TSAI'S T S AY1 Z +TSAI'S(2) S AY1 Z +TSAKOS T S AA1 K OW0 S +TSANG T S AE1 NG +TSANG(2) S AE1 NG +TSAO T S AW1 +TSAO(2) S AW1 +TSAR Z AA1 R +TSAR(2) T S AA1 R +TSCHANTZ CH AE1 N T S +TSCHETTER CH EH1 T ER0 +TSCHIDA CH AY1 D AH0 +TSCHIRHART CH ER1 HH AA0 R T +TSCHOPP CH AA1 P +TSCHUDY CH UW1 D IY0 +TSCHUMI CH UW1 M IY0 +TSE T S IY1 +TSE(2) S IY1 +TSEMEL T S EH1 M AH0 L +TSENG T S EH1 NG +TSENG(2) S EH1 NG +TSETSE T S IY1 T S IY0 +TSETSE(2) T IY1 T S IY0 +TSHISEKEDI SH IH0 S EH1 K AH0 D IY0 +TSIANG T S Y AE1 NG +TSINGTAO S 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AH1 N AH0 L Z +TUNNELING T AH1 N AH0 L IH0 NG +TUNNELL T AH1 N AH0 L +TUNNELS T AH1 N AH0 L Z +TUNNEY T AH1 N IY0 +TUNNY T AH1 N IY0 +TUNSTALL T AH1 N S T AH0 L +TUOHEY T UW1 HH EY0 +TUOHY T UW1 IY0 +TUOLUMNE T W AO1 L UW0 M +TUOMI T W OW1 M IY0 +TUPA T UW1 P AH0 +TUPAC T UW1 P AO0 K +TUPELO T Y UW1 P AH0 L OW2 +TUPELO(2) T UW1 P AH0 L OW2 +TUPELOV T UW1 P AH0 L AA0 V +TUPPER T AH1 P ER0 +TUPPERWARE T AH1 P ER0 W EH2 R +TUPY T UW1 P IY0 +TURANDOT T ER0 AE1 N D AH0 T +TURANO T UH0 R AA1 N OW0 +TURBAN T ER1 B AH0 N +TURBANS T ER1 B AH0 N Z +TURBAS T ER1 B AH0 S +TURBEN T ER1 B AH0 N +TURBERVILLE T ER1 B ER0 V IH2 L +TURBETT T ER1 B IH0 T +TURBEVILLE T ER1 B V IH0 L +TURBID T ER1 B IH0 D +TURBIDITY T ER0 B IH1 D AH0 T IY0 +TURBIN T ER1 B IH0 N +TURBINE T ER1 B AY0 N +TURBINEN T ER1 B IH0 N AH0 N +TURBINES T ER1 B AY0 N Z +TURBO T ER1 B OW0 +TURBOCHARGE T ER1 B OW0 CH AA2 R JH +TURBOCHARGED T ER1 B OW0 CH AA2 R JH D +TURBOCHARGES T ER1 B OW0 CH AA2 R JH IH0 Z +TURBOCHARGING T ER1 B OW0 CH 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+UTSUMI UW0 T S UW1 M IY0 +UTT AH1 T +UTTECH AH1 T EH2 K +UTTER AH1 T ER0 +UTTERANCE AH1 T ER0 AH0 N S +UTTERANCES AH1 T ER0 AH0 N S IH0 Z +UTTERED AH1 T ER0 D +UTTERING AH1 T ER0 IH0 NG +UTTERLY AH1 T ER0 L IY0 +UTTERS AH1 T ER0 Z +UTZ AH1 T S +UTZINGER AH1 T Z IH0 NG ER0 +UVA Y UW1 V AH0 +UVA(2) Y UW1 V IY1 EY1 +UWE Y UW1 +UY UW1 IY0 +UY(2) Y UW1 W AY1 +UYEDA AY0 IY1 D AH0 +UYEHARA UW0 Y EY0 HH AA1 R AH0 +UYENO AY0 EY1 N OW0 +UYS Y UW1 IY0 Z +UYS(2) Y UW1 W AY1 EH1 S +UZBEK UW1 Z B EH0 K +UZBEKISTAN UW0 Z B EH1 K IH0 S T AE2 N +UZBEKS UW1 Z B EH0 K S +UZELAC AH0 Z EH1 L AH0 K +UZI UW1 Z IY0 +UZIS UW1 Z IY0 Z +UZMACK UW1 Z M AE2 K +UZZELL UW0 Z EH1 L +UZZLE AH1 Z AH0 L +V V IY1 +V'S V IY1 Z +V. V IY1 +V.'S V IY1 Z +V.A. V IY2 EY1 +V.S V IY1 Z +VAAL V AA1 L +VAAPENFABRIKK V AA2 P EH1 N F AH0 B R IH0 K +VAAPENFABRIKK(2) V AA1 P AH0 N F AA2 B R IH0 K +VACA V AE1 K AH0 +VACANCIES V EY1 K AH0 N S IY0 Z +VACANCY V EY1 K AH0 N S IY0 +VACANT V EY1 K AH0 N T +VACANTI V AH0 K AE1 N T IY0 +VACATE V EY1 K EY0 T +VACATED V EY0 K EY1 T IH0 D +VACATED(2) V EY1 K EY0 T IH0 D +VACATING V EY1 K EY0 T IH0 NG +VACATION V EY0 K EY1 SH AH0 N +VACATIONED V EY0 K EY1 SH AH0 N D +VACATIONER V EY0 K EY1 SH AH0 N ER0 +VACATIONERS V EY0 K EY1 SH AH0 N ER0 Z +VACATIONERS' V EY0 K EY1 SH AH0 N ER0 Z +VACATIONING V EY0 K EY1 SH AH0 N IH0 NG +VACATIONING(2) V EY0 K EY1 SH N IH0 NG +VACATIONS V EY0 K EY1 SH AH0 N Z +VACAVILLE V AE1 K AH0 V IH2 L +VACCA V AE1 K AH0 +VACCARELLA V AA0 K ER0 EH1 L AH0 +VACCARO V AH0 K AA1 R OW0 +VACCINA V AE2 K S IY1 N AH0 +VACCINATE V AE1 K S AH0 N EY0 T +VACCINATED V AE1 K S AH0 N EY0 T IH0 D +VACCINATION V AE0 K S AH0 N EY1 SH AH0 N +VACCINATIONS V AE2 K S AH0 N EY1 SH AH0 N Z +VACCINE V AE2 K S IY1 N +VACCINE'S V AE2 K S IY1 N Z +VACCINES V AE2 K S IY1 N Z +VACCINIA V AH0 CH IY1 N IY0 AH0 +VACCO V AE1 K OW0 +VACEK V AA1 CH EH2 K +VACHA V AE1 CH AH0 +VACHON V AE1 CH AH0 N +VACILLATE V AE1 S AH0 L EY2 T +VACILLATED V AE1 S AH0 L EY0 T IH0 D +VACILLATES V AE1 S AH0 L EY2 T S +VACILLATING V AE1 S AH0 L EY2 T IH0 NG +VACILLATION V AE2 S AH0 L EY1 SH AH0 N +VACLAV V AE1 K L AA2 V +VACLAV(2) V AA1 K L AA2 V +VACLAVIK V AE1 K L AH0 V IH0 K +VACUOUS V AE1 K Y UW0 AH0 S +VACUTAINER V AE1 K Y UW0 T EY2 N ER0 +VACUUM V AE1 K Y UW0 M +VACUUMED V AE1 K Y UW0 M D +VACUUMING V AE1 K Y UW0 M IH0 NG +VACUUMS V AE1 K Y UW0 M Z +VADALA V AA0 D AA1 L AH0 +VADAS V AA1 D AA0 Z +VADEHRA V AH0 D EY1 R AH0 +VADEN V EY1 D AH0 N +VADER V EY1 D ER0 +VADIM V AA0 D IY1 M +VADNAIS V AH0 D N EY1 +VADNEY V AE1 D N IY0 +VAETH V IY1 TH +VAGABOND V AE1 G AH0 B AA0 N D +VAGABONDS V AE1 G AH0 B AA0 N D Z +VAGARIES V EY1 G ER0 IY0 Z +VAGARY V EY1 G ER0 IY0 +VAGELOS V AH0 JH EH1 L OW0 S +VAGINA V AH0 JH AY1 N AH0 +VAGINAL V AH0 JH AY1 N AH0 L +VAGRANCY V EY1 G R AH0 N S IY0 +VAGRANT V EY1 G R AH0 N T +VAGRANTS V EY1 G R AH0 N T S +VAGUE V EY1 G +VAGUELY V EY1 G L IY0 +VAGUENESS V EY1 G N IH0 S +VAGUER V EY1 G ER0 +VAGUEST V EY1 G IH0 S T +VAGUINE V AH0 G W IY1 N +VAHEY V AE1 HH EY2 +VAHID V AA0 HH IY1 D +VAHL V AA1 L +VAHLE V EY1 HH AH0 L +VAIL V EY1 L +VAILAB V EY1 L AE2 B +VAILE V EY1 L +VAILLANCOURT V EY1 L AH0 N K AO2 R T +VAIN V EY1 N +VAINLY V EY1 N L IY0 +VAJDA V AY1 D AH0 +VAJNA V AY1 N AH0 +VAKUF V AE1 K AH2 F +VAL V AE1 L +VALA V AA1 L AH0 +VALABLE V AE1 L AH0 B AH0 L +VALADE V AA0 L AA1 D EY0 +VALADEZ V AA0 L AA1 D EH0 Z +VALASEK V AH0 L AA1 S EH0 K +VALBORGA V AA0 L B AO1 R G AH0 +VALCOURT V AH0 L K AO1 R T +VALDA V AA1 L D AH0 +VALDEMAR V AA0 L D EY0 M AA1 R +VALDERRAMA V AA0 L D EH0 R AA1 M AH0 +VALDES V AE0 L D EH1 Z +VALDES-PEREZ V AE2 L D EH1 Z P ER0 EH1 Z +VALDESHARI V AE2 L D EH0 SH AA1 R IY0 +VALDEZ V AE0 L D EH1 Z +VALDIS V AE1 L D IH0 S +VALDIVIA V AA0 L D IY1 V IY0 AH0 +VALDOSTA V AE2 L D AO1 S T AH0 +VALDOVINOS V AA0 L D OW0 V IY1 N OW0 Z +VALE V EY1 L +VALEA V AH0 L IY1 AH0 +VALEDA V AA0 L EY1 D AH0 +VALEDICTORIAN V AE2 L AH0 D IH2 K T AO1 R IY0 AH0 N +VALEDICTORY V AE2 L AH0 D IH1 K T ER0 IY0 +VALEK V AA1 L EH0 K +VALENCE V EY1 L AH0 N S +VALENCIA V AH0 L EH1 N S IY0 AH0 +VALENCIA'S V AH0 L EH1 N S IY0 AH0 Z +VALENCIENNE V AH0 L EH1 N S IY0 EH2 N +VALENS V AE1 L AH0 N Z +VALENSUELA V AE2 L AH0 N Z W EY1 L AH0 +VALENSUELA'S V AE2 L AH0 N Z W EY1 L AH0 Z +VALENT V AE1 L AH0 N T +VALENTA V AH0 L EH1 N T AH2 +VALENTE V AA0 L EH1 N T IY2 +VALENTI V AA0 L EH1 N T IY2 +VALENTIA V AA0 L EH1 N SH AH0 +VALENTIN V AA2 L EH1 N T IY2 N +VALENTINA V AA2 L EH0 N T IY1 N AH0 +VALENTINE V AE1 L AH0 N T AY2 N +VALENTINE'S V AE1 L AH0 N T AY2 N Z +VALENTINES V AE1 L AH0 N T AY2 N Z +VALENTINI V AE2 L AH0 N T IY1 N IY0 +VALENTINO V AE2 L AH0 N T IY1 N OW0 +VALENTINO'S V AE2 L AH0 N T IY1 N OW0 Z +VALENZA V AH0 L EH1 N Z AH0 +VALENZANO V AE2 L EH0 N Z AA1 N OW0 +VALENZUELA V AA0 L EH0 N Z UW1 L AH0 +VALEO V AE1 L IY0 OW0 +VALERA V AH0 L EH1 R AH0 +VALERI V AA0 L EH1 R IY0 +VALERIA V AH0 L IY1 R IY0 AH0 +VALERIAN V AH0 L IH1 R IY0 AH0 N +VALERIANO V AA0 L ER0 IY0 AA1 N OW0 +VALERIE V AE1 L ER0 IY0 +VALERIO V AH0 L IY1 R IY0 OW0 +VALERO V AH0 L EH1 R OW0 +VALERY V AE1 L ER0 IY0 +VALES V EY1 L Z +VALESKA V AA0 L EY1 S K AH0 +VALET V AE0 L EY1 +VALHALLA V AE2 L HH AE1 L AH0 +VALHI V AE1 L HH IY0 +VALIA V AE1 L Y AH0 +VALIANT V AE1 L Y AH0 N T +VALIANTLY V AE1 L Y AH0 N T L IY0 +VALID V AE1 L IH0 D +VALIDA V AA0 L IY1 D AH0 +VALIDATE V AE1 L AH0 D EY0 T +VALIDATED V AE1 L AH0 D EY0 T IH0 D +VALIDATES V AE1 L AH0 D EY2 T S +VALIDATING V AE1 L AH0 D EY2 T IH0 NG +VALIDATION V AE2 L AH0 D EY1 SH AH0 N +VALIDED V AE1 L AH0 D IH0 D +VALIDITY V AH0 L IH1 D AH0 T IY0 +VALIDITY(2) V AH0 L IH1 D IH0 T IY0 +VALIDLY V AE1 L IH0 D L IY0 +VALIENTE V AA0 L IY1 N T IY0 +VALIN V AE1 L IH0 N +VALIQUETTE V AE1 L IH0 K EH2 T +VALIS V AE1 L IH0 S +VALIUM V EY1 L IY0 AH0 M +VALK V AO1 K +VALKO V AE1 L K OW0 +VALKYRIE V AE2 L K IY1 R IY2 AH0 +VALLA V AE1 L AH0 +VALLADARES V AA0 L AA0 D AA1 R EH0 S +VALLANCE V AE1 L AH0 N S +VALLANDINGHAM V AE0 L AH1 N D IH0 NG HH AE2 M +VALLARIO V AA0 L AA1 R IY0 OW0 +VALLARTA V AE2 L AA1 R T AA0 +VALLAS V AE1 L AH0 Z +VALLE V EY1 L +VALLEAU V AH0 L OW1 +VALLEE V AE1 L IY0 +VALLEGRANDE V AE2 L IY0 G R AE1 N D IY0 +VALLEGRANDE(2) V AE2 L IY0 G R AE1 N D +VALLEJO V AA0 L EY1 Y OW0 +VALLEJOS V AA0 L EY1 Y OW0 Z +VALLELY V EY1 L IY0 +VALLELY(2) V AE1 L IY0 +VALLERY V AE1 L ER0 IY0 +VALLES V EY1 L Z +VALLETTE V AE2 L EH1 T +VALLEY V AE1 L IY0 +VALLEY'S V AE1 L IY0 Z +VALLEYS V AE1 L IY0 Z +VALLEZ V AA0 L EH1 Z +VALLI V AE1 L IY0 +VALLIANT V AA0 L IY1 AH0 N T +VALLIE V AO1 L IY0 +VALLIER V AE1 L IY0 ER0 +VALLIERE V AE1 L IY0 EH0 R +VALLIS V AE1 L IH0 S +VALLO V AE1 L OW0 +VALLONE V AA0 L OW1 N IY0 +VALLOT V AE1 L AH0 T +VALLS V AO1 L Z +VALMEYER V AE1 L M AY0 ER0 +VALMONT V AO1 L M AA2 N T +VALOIS V AE0 L W AA1 +VALONE V AH0 L OW1 N +VALONIA V AH0 L OW1 N Y AH0 +VALOR V AE1 L ER0 +VALOREE V AE1 L ER0 IY1 +VALORES V AH0 L AO1 R EH0 Z +VALPARAISO V AE2 L P ER0 EY1 S OW0 +VALSELLA V AO0 L S EH1 L AH0 +VALSPAR V AE1 L Z P AA0 R +VALTEK V AO1 L T EH2 K +VALTIERRA V AA0 L T IH1 R AH0 +VALU V AE1 L Y UW0 +VALUABLE V AE1 L Y AH0 B AH0 L +VALUABLE(2) V AE1 L Y UW0 B AH0 L +VALUABLES V AE1 L Y AH0 B AH0 L Z +VALUABLES(2) V AE1 L Y UW0 B AH0 L Z +VALUATION V AE0 L Y UW0 EY1 SH AH0 N +VALUATIONS V AE0 L Y UW0 EY1 SH AH0 N Z +VALUE V AE1 L Y UW0 +VALUED V AE1 L Y UW0 D +VALUELESS V AE1 L Y UW0 L AH0 S +VALUEPOINT V AE1 L Y UW0 P OY2 N T +VALUES V AE1 L Y UW0 Z +VALUES' V AE1 L Y UW0 Z +VALUEVISION V AE1 L Y UW0 V IH2 ZH AH0 N +VALUING V AE1 L Y UW0 IH0 NG +VALUJET V AE1 L Y UW0 JH EH2 T +VALUJET'S V AE1 L Y UW0 JH EH2 T S +VALUKAS V AH0 L UW1 K AH0 S +VALVANO V AA0 L V AA1 N OW0 +VALVE V AE1 L V +VALVERDE V AA0 L V EH1 R D EY0 +VALVES V AE1 L V Z +VALVO V AA1 L V OW0 +VALVOLINE V AE1 L V AH0 L IY2 N +VAMOS V AA1 M OW0 Z +VAMP V AE1 M P +VAMPIRE V AE1 M P AY0 R +VAMPIRE'S V AE1 M P AY0 R Z +VAMPIRES V AE1 M P AY0 R Z +VAMPIRIC V AE0 M P IH1 R IH0 K +VAN V AE1 N +VAN-GOGH V AE1 N G OW1 +VANA V AE1 N AH0 +VANACKER V AE0 N AE1 K ER0 +VANACORE V AA0 N AA0 K AO1 R IY0 +VANADIUM V AH0 N EY1 D IY0 AH0 M +VANAKEN V AE1 N AH0 K AH0 N +VANALLEN V AH0 N AO1 L AH0 N +VANALSTINE V AE0 N AE1 L S T IY0 N +VANALSTYNE V AE1 N AH0 L S T AY2 N +VANAMAN V AE0 N AO1 M AH0 N +VANAMBURG V AE0 N AE1 M B ER0 G +VANAMBURGH V AE0 N AE1 M B ER0 G +VANANTWERP V AH0 N AE1 N T W ER0 P +VANARSDALE V AE1 N ER0 Z D EY2 L +VANARSDALL V AH0 N AA1 R S D AH0 L +VANASSE V AE0 N AE1 S +VANATTA V AA0 N AA1 T AH0 +VANATTER V AA0 N AE1 T ER0 +VANAUKEN V AE0 N AW1 K AH0 N +VANAUSDALL V AE0 N AW1 S D AH0 L +VANBEBBER V AE2 N B EH1 B ER0 +VANBEEK V AE2 N B IY1 K +VANBENSCHOTEN V AE0 N B EH1 N SH AH0 T AH0 N +VANBERGEN V AE0 N B ER1 G AH0 N +VANBIBBER V AE2 N B IH1 B ER0 +VANBIESBROUCK V AE2 N B IY1 AH0 S B R UW2 K +VANBLARCOM V AE2 N B L AA1 R K AH0 M +VANBLARICOM V AE2 N B L AE1 R IH0 K AH0 M +VANBROCKLIN V AE2 N B R AA1 K L IH0 N +VANBRUNT V AE2 N B R AH1 N T +VANBUREN V AE0 N B Y UW1 R AH0 N +VANBUSKIRK V AE2 N B AH1 S K ER0 K +VANCAMP V AE2 N K AE1 M P +VANCAMPEN V AE2 N K AE1 M P AH0 N +VANCE V AE1 N S +VANCIL V AE1 N S AH0 L +VANCISE V AA1 N CH AY0 S +VANCLEAVE V AE1 N K L AH0 V +VANCLEEF V AE2 N K L IY1 F +VANCLEVE V AE2 N K L IY1 V +VANCOMYCIN V AE2 N K OW0 M AY1 S IH0 N +VANCOTT V AH0 N K AA1 T +VANCOURT V AH0 N K AO1 R T +VANCOUVER V AE0 N K UW1 V ER0 +VANCOUVER'S V AE0 N K UW1 V ER0 Z +VANCURA V AA0 N K UH1 R AH0 +VANCUREN V AE0 N K Y UW1 R AH0 N +VANDAELE V AE0 N D EH1 L +VANDAGRIFF V AE2 N D AE1 G R IH0 F +VANDAGRIFF(2) V AE1 N D AH0 G R IH0 F +VANDAL V AE1 N D AH0 L +VANDALEN V AE2 N D AE1 L AH0 N +VANDALISM V AE1 N D AH0 L IH0 Z AH0 M +VANDALIZE V AE1 N D AH0 L AY2 Z +VANDALIZED V AE1 N D AH0 L AY2 Z D +VANDALIZING V AE1 N D AH0 L AY2 Z IH0 NG +VANDALL V AE2 N D AO1 L +VANDALS V AE1 N D AH0 L Z +VANDAM V AE2 N D AE1 M +VANDAMME V AE2 N D AE1 M +VANDE V AE1 N D +VANDEBERG V AE1 N D AH0 B ER0 G +VANDECAR V AE1 N D AH0 K AA2 R +VANDEGRIFT V AE1 N D AH0 G R IH0 F T +VANDEHEI V AE1 N D AH0 HH AY0 +VANDEHEY V AE1 N D IH0 HH IY0 +VANDELLA V AE2 N D EH1 L AH0 +VANDELLAS V AE2 N D EH1 L AH0 Z +VANDEMAN V AE1 N D AH0 M AH0 N +VANDEMARK V AE1 N D AH0 M AA2 R K +VANDEN V AE1 N D AH0 N +VANDENBERG V AE1 N D AH0 N B ER0 G +VANDENBERGH V AE1 N D AH0 N B ER0 G +VANDENBERGHE V AE1 N D AH0 N B ER0 G +VANDENBOOM V AE1 N D AH0 N B UW2 M +VANDENBOS V AE1 N D AH0 N B OW0 Z +VANDENBOSCH V AE1 N D AH0 N B AO2 SH +VANDENBRINK V AE1 N D AH0 N B R IH0 NG K +VANDENBURG V AE1 N D AH0 N B ER0 G +VANDENBURGH V AE1 N D AH0 N B ER0 G +VANDENHEUVEL V AE1 N D AH0 N HH OY0 V AH0 L +VANDER V AE1 N D ER0 +VANDERBECK V AE1 N D ER0 B EH2 K +VANDERBEEK V AE1 N D ER0 B IY2 K +VANDERBERG V AE1 N D ER0 B ER0 G +VANDERBILT V AE1 N D ER0 B IH0 L T +VANDERBURG V AE1 N D ER0 B ER0 G +VANDERBUSH V AE1 N D ER0 B UH0 SH +VANDERCOOK V AE1 N D ER0 K UH2 K +VANDERFORD V AE1 N D ER0 F ER0 D +VANDERGRIFF V AE1 N D ER0 G R IH0 F +VANDERGRIFT V AE1 N D ER0 G R IH0 F T +VANDERGRIFT'S V AE1 N D ER0 G R IH2 F T S +VANDERHEIDE V AE1 N D ER0 HH AY2 D +VANDERHEIDEN V AE1 N D ER0 HH AY0 D AH0 N +VANDERHEYDEN V AE1 N D ER0 HH EY0 D AH0 N +VANDERHOEF V AE1 N D ER0 HH OW2 F +VANDERHOFF V AE1 N D ER0 HH AO2 F +VANDERHOOF V AE1 N D ER0 HH UH2 F +VANDERHORST V AE1 N D ER0 HH AO2 R S T +VANDERKOLK V AE1 N D ER0 K OW2 K +VANDERKOOI V AE1 N D ER0 K UW2 IY0 +VANDERLAAN V AE1 N D ER0 L AA2 N +VANDERLEEST V AE1 N D ER0 AH0 L IY2 S T +VANDERLINDE V AE1 N D ER0 L IH2 N D +VANDERLINDEN V AE1 N D ER0 L IH2 N D AH0 N +VANDERLIP V AE1 N D ER0 L IH2 P +VANDERMARK V AE1 N D ER0 M AA2 R K +VANDERMEER V AE1 N D ER0 M IH2 R +VANDERMEULEN V AE1 N D ER0 M OY2 L AH0 N +VANDERMOLEN V AE1 N D ER0 M AA2 L AH0 N +VANDERPLOEG V AE1 N D ER0 P L OW2 G +VANDERPOEL V AE1 N D ER0 P OW2 L +VANDERPOL V AE1 N D ER0 P AO2 L +VANDERPOOL V AE1 N D ER0 P UW2 L +VANDERSCHAAF V AE1 N D ER0 SH AA2 F +VANDERSLICE V AE1 N D ER0 S L AY2 S +VANDERSLUIS V AE1 N D ER0 S L UW2 IH0 S +VANDERSLUIS(2) V AE1 N D ER0 S L UW2 S +VANDERVEEN V AE1 N D ER0 V IY2 N +VANDERVEER V AE1 N D ER0 V IH2 R +VANDERVELDE V AE1 N D ER0 V EH2 L D +VANDERVELDEN V AE1 N D ER0 V EH2 L D AH0 N +VANDERVLIET V AE1 N D ER0 V L IY2 T +VANDERVOORT V AE1 N D ER0 V UH2 R T +VANDERVORT V AE1 N D ER0 V AO2 R T +VANDERWAL V AE1 N D ER0 W AA2 L +VANDERWALL V AE1 N D ER0 W AA2 L +VANDERWEELE V AE1 N D ER0 W IY2 L +VANDERWEIDE V AE1 N D ER0 W AY2 D +VANDERWERF V AE1 N D ER0 W ER2 F +VANDERWERFF V AE1 N D ER0 W ER2 F +VANDERWILT V AE1 N D ER0 W IH2 L T +VANDERWOUDE V AE1 N D ER0 W AW2 D +VANDERZANDEN V AE1 N D ER0 Z AE2 N D AH0 N +VANDERZEE V AE1 N D ER0 Z IY2 +VANDEUSEN V AE0 N D OY1 S AH0 N +VANDEVANDER V AE1 N D AH0 V AE2 N D ER0 +VANDEVEER V AE1 N D AH0 V IH2 R +VANDEVELDE V AE1 N D AH0 V EH2 L D +VANDEVEN V AE1 N D AH0 V AH0 N +VANDEVENDER V AE1 N D AH0 V EH2 N D ER0 +VANDEVENTER V AE1 N D AH0 V AH0 N T ER0 +VANDEVER V AE2 N D IY1 V ER0 +VANDEVOORDE V AE1 N D AH0 V UH0 R D +VANDEVOORT V AE1 N D AH0 V UH0 R T +VANDEWALKER V AE1 N D AH0 W AO2 K ER0 +VANDEWALLE V AE0 N D UW1 EY0 L +VANDEWATER V AE1 N D AH0 W AO0 T ER0 +VANDEZANDE V AE1 N D AH0 Z IH0 N D +VANDINE V AE2 N D AY1 N +VANDIVER V AE1 N D AY2 V ER0 +VANDIVIER V AE0 N D AY1 V IY0 ER0 +VANDOREN V AE0 N D AO1 R AH0 N +VANDORN V AE0 N D AO1 R N +VANDRIEL V AE2 N D R IY1 L +VANDROSS V AE2 N D R AO1 S +VANDUNK V AE2 N D AH1 NG K +VANDUSEN V AE0 N D UW1 S AH0 N +VANDUYN V AE2 N D AY1 N +VANDUYNE V AE2 N D AY1 N +VANDUZER V AE2 N D UW1 Z ER0 +VANDYCK V AE0 N D IH1 K +VANDYK V AE1 N D IH0 K +VANDYKE V AE2 N D AY1 K +VANDYKEN V AE2 N D AY1 K AH0 N +VANDYNE V AE1 N D AY2 N +VANE V EY1 N +VANEATON V AE1 N AH0 T AA0 N +VANECEK V AE0 N EH1 S IH0 K +VANECK V AA1 N EH0 K +VANEGAS V AE0 N IY1 G AH0 Z +VANEK V AE0 N EH1 K +VANELLA V AH0 N EH1 L AH0 +VANENGEN V AE0 N EH1 NG AH0 N +VANEPPS V AE0 N EH1 P S +VANES V EY1 N Z +VANESS V AE1 N AH0 S +VANESSA V AH0 N EH1 S AH0 +VANESSEN V AA1 N IH0 S AH0 N +VANETTEN V AE1 N EH1 T AH0 N +VANEVERY V AH0 N EH1 V R IY0 +VANFLEET V AE2 N F L IY1 T +VANFOSSAN V AE0 N F AA1 S AH0 N +VANFOSSEN V AE0 N F AA1 S AH0 N +VANG V AE1 NG +VANGEL V EY1 NG G AH0 L +VANGELDER V EY1 NG G IH0 L D ER0 +VANGIE V AE1 NG IY0 +VANGIESON V AE1 NG G IY0 Z AH0 N +VANGILDER V AE1 NG G IH0 L D ER0 +VANGORDEN V AE1 NG G ER0 D AH0 N +VANGORDER V AE1 NG G ER0 D ER0 +VANGORP V AE1 NG G ER0 P +VANGUARD V AE1 N G AA2 R D +VANGUARD'S V AE1 N G AA2 R D Z +VANGUILDER V AE0 N G AY1 L D ER0 +VANGUNDY V AH0 NG G AH1 N D IY0 +VANGY V AE1 N JH IY0 +VANHALL V AE2 N HH AO1 L +VANHANDEL V AE2 N HH AE1 N D AH0 L +VANHECKE V AE2 N HH EH1 K +VANHEEL V AE2 N HH IY1 L +VANHISE V AE0 N HH AY1 Z +VANHOESEN V AE2 N HH OW1 S AH0 N +VANHOOK V AE2 N HH UH1 K +VANHOOSE V AE2 N HH UW1 S +VANHOOSER V AE2 N HH UW1 Z ER0 +VANHOOZER V AE2 N HH UW1 Z ER0 +VANHORN V AE0 N HH AO1 R N +VANHORNE V AE0 N HH AO1 R N +VANHOUSEN V AE1 N HH AW2 S AH0 N +VANHOUTEN V AE0 N HH AA1 UW0 T AH0 N +VANHOVE V AE0 N HH AH1 V +VANHOY V AE1 N HH OY0 +VANHUSS V AE2 N HH AH1 S +VANHYNING V AE2 N HH AY1 N IH0 NG +VANIA V AA1 N IY0 AH0 +VANIER V AE0 N IY1 ER0 +VANIK V AA1 N IH0 K +VANILLA V AH0 N IH1 L AH0 +VANILLI V AH0 N IH1 L IY0 +VANILLIN V AH0 N IH1 L IH0 N +VANISH V AE1 N IH0 SH +VANISHED V AE1 N IH0 SH T +VANISHES V AE1 N IH0 SH IH0 Z +VANISHING V AE1 N IH0 SH IH0 NG +VANITIES V AE1 N AH0 T IY0 Z +VANITY V AE1 N AH0 T IY0 +VANITY(2) V AE1 N IH0 T IY0 +VANKAMPEN V AE2 N K AE1 M P AH0 N +VANKEUREN V AE1 NG K OY0 R AH0 N +VANKIRK V AE1 NG K ER0 K +VANKLEECK V AE1 NG K L IY2 K +VANKUREN V AE1 NG K Y UW0 R AH0 N +VANLANDINGHAM V AE2 N L AE1 N D IH0 NG HH AE2 M +VANLANEN V AE2 N L AE1 N AH0 N +VANLANINGHAM V AE2 N L AE1 N IH0 NG HH AE2 M +VANLEER V AE0 N L IH1 R +VANLEEUWEN V AE0 N L UW1 AH0 N +VANLEUVEN V AE0 N L OY1 V AH0 N +VANLIERE V AE0 N L IH1 R +VANLIEW V AE1 N L IY0 UW0 +VANLOAN V AE1 N L OW2 N +VANLOO V AE1 N L UW2 +VANLUE V AE2 N L UW1 +VANLUVEN V AE2 N L UW1 V AH0 N +VANMAANEN V AE2 N M AA1 N AH0 N +VANMARTER V AE0 N M AA1 R T ER0 +VANMATRE V AE0 N M EY1 T ER0 +VANMETER V AE0 N M IY1 T ER0 +VANMETRE V AE0 N M IY1 T ER0 +VANN V AE1 N +VANNA V AE1 N AH0 +VANNAME V AE1 N AH0 M +VANNATER V AE0 N AE1 T ER0 +VANNATTA V AA0 N AA1 T AH0 +VANNATTER V AE0 N AE1 T ER0 +VANNATTER'S V AE0 N AE1 T ER0 Z +VANNELLI V AA0 N EH1 L IY0 +VANNESS V AE0 N IY1 S +VANNEST V AE0 N IY1 S T +VANNGUYEN V AE0 N G IY1 AH0 N +VANNGUYEN(2) V AE2 N UW0 Y EH1 N +VANNI V AE1 N IY0 +VANNICE V AE1 N IH0 S +VANNIE V AE1 N IY0 +VANNORMAN V AE0 N AO1 R M AH0 N +VANNORTWICK V AH0 N AO1 R T W IH0 K +VANNOSTRAND V AE0 N AA1 S T R AH0 N D +VANNOTE V AE0 N OW1 T +VANNOY V AE1 N OY0 +VANNUCCI V AA0 N UW1 CH IY0 +VANNY V AE1 N IY0 +VANO V AA1 N OW0 +VANORA V AE1 N ER0 AH0 +VANORDEN V AE0 N AO1 R D AH0 N +VANORDER V AE0 N AO1 R D ER0 +VANORMAN V AE0 N AO1 R M AH0 N +VANORNUM V AE0 N AO1 R N AH0 M +VANOSDOL V AE0 N AA1 S D AH0 L +VANOSS V AE0 N AA1 S +VANOSTRAND V AE0 N AA1 S T R AH0 N D +VANOUS V AE1 N AH0 S +VANOVER V AE1 N OW2 V ER0 +VANPATTEN V AE0 N P AE1 T AH0 N +VANPELT V AE2 N P EH1 L T +VANPUTTEN V AE0 N P AH1 T AH0 N +VANQUISH V AE1 NG K W IH0 SH +VANQUISHED V AE1 NG K W IH0 SH T +VANRIPER V AE2 N R AY1 P ER0 +VANROEKEL V AE2 N R OW1 K AH0 L +VANROSSUM V AE2 N R AA1 S AH0 M +VANRYN V AE2 N R IH1 N +VANS V AE1 N Z +VANSANDT V AE2 N S AE1 N T +VANSANT V AA1 N S AH0 N T +VANSCHAICK V AE0 N SH AY1 K +VANSCHOICK V AE2 N SH OY1 K +VANSCIVER V AE0 N S K AY1 V ER0 +VANSCOY V AE1 N S K OY2 +VANSCOYOC V AE2 N S K OY1 AA0 K +VANSCYOC V AE1 N S IY0 AA2 K +VANSELOW V AE1 N S IH0 L OW0 +VANSICKEL V AE2 N S IH1 K AH0 L +VANSICKLE V AE2 N S IH1 K AH0 L +VANSKIKE V AE2 N S K AY1 K +VANSKIVER V AE2 N S K AY1 V ER0 +VANSLOOTEN V AE2 N S L UW1 T AH0 N +VANSLYKE V AE2 N S L AY1 K +VANSTONE V AE2 N S T OW1 N +VANSTORY V AE2 N S T AO1 R IY0 +VANSTRATEN V AE2 N S T R EY1 T AH0 N +VANSYCKLE V AE1 N S AY0 K AH0 L +VANTAGE V AE1 N T AH0 JH +VANTAGE(2) V AE1 N T IH0 JH 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K +VARITY V EH1 R IH0 T IY0 +VARITY'S V EH1 R IH0 T IY0 Z +VARITYPER V EH1 R IH0 T AY2 P ER0 +VARLAM V AA1 R L AE0 M +VARLEN V AA1 R L AH0 N +VARLEY V AA1 R L IY0 +VARMA V AA1 R M AH0 +VARMINT V AA1 R M IH0 N T +VARMUS V AA1 R M AH0 S +VARN V AA1 R N +VARNADO V AA0 R N AA1 D OW0 +VARNADOE V AA0 R N AA1 D OW0 +VARNADORE V AA0 R N AA0 D AO1 R EY0 +VARNELL V AA1 R N AH0 L +VARNER V AA1 R N ER0 +VARNES V AA1 R N Z +VARNEY V AA1 R N IY0 +VARNI V AA1 R N IY0 +VARNISH V AA1 R N IH0 SH +VARNISHED V AA1 R N IH0 SH T +VARNISHES V AA1 R N IH0 SH AH0 Z +VARNISHES(2) V AA1 R N IH0 SH IH0 Z +VARNON V AA0 R N AO1 N +VARNUM V AA1 R N AH0 M +VARO V EH1 R OW0 +VARO(2) V AA1 R OW0 +VARON V AA0 R AO1 N +VARONA V AA0 R OW1 N AH0 +VARONE V ER0 OW1 N +VARRICCHIO V AA0 R IY1 K IY0 OW0 +VARRONE V AA0 R OW1 N EY0 +VARS V AA1 R Z +VARSITY V AA1 R S IH0 T IY0 +VARTANIAN V AA0 R T EY1 N IY0 AH0 N +VARVARO V AA0 R V AA1 R OW0 +VARVEL V AA0 R V EH1 L +VARVES V AA1 R V Z +VARY V EH1 R IY0 +VARYING V EH1 R IY0 IH0 NG 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K S IH0 Z +VAXSTATION V AE2 K S T EY1 SH AH0 N +VAYDA V EY1 D AH0 +VAZ V AE1 Z +VAZQUEZ V AE0 S K EH1 Z +VE V IY1 +VE(2) V IY1 IY1 +VEACH V IY1 CH +VEAL V IY1 L +VEALE V IY1 L +VEALS V IY1 L Z +VEASEY V IY1 Z IY0 +VEASLEY V IY1 Z L IY0 +VEATCH V IY1 CH +VEAZEY V IY1 Z IY0 +VEAZIE V IY1 Z IY0 +VEBA V IY1 B AH0 +VECCHIARELLI V EH0 K IY0 AA0 R EH1 L IY0 +VECCHIO V EH1 K IY0 OW0 +VECCHIONE V EH2 K IY0 OW1 N IY0 +VECCI V EH1 CH IY0 +VECELLIO V EH0 CH EH1 L IY0 OW0 +VECTOR V EH1 K T ER0 +VECTORS V EH1 K T ER0 Z +VECTRA V EH1 K T R ER0 +VEDA V EY1 D AH0 +VEDDER V EH1 D ER0 +VEDETTA V IH2 D EH1 T AH0 +VEDETTE V IH0 D EH1 T +VEDIS V EY1 D IH0 S +VEDULA V EH2 D UW1 L AH0 +VEE V IY1 +VEECH V IY1 CH +VEECO V IY1 K OW0 +VEEDER V IY1 D ER0 +VEEGENAN V IY1 G AH0 N AH0 N +VEEN V IY1 N +VEENSTRA V IY1 N S T R AH0 +VEEP V IY1 P +VEER V IH1 R +VEERED V IH1 R D +VEERING V IH1 R IH0 NG +VEERS V IH1 R Z +VEES V IY1 Z +VEGA V EY1 G AH0 +VEGAN V EH1 G AH0 N +VEGANS V EH1 G AH0 N Z +VEGAS V EY1 G AH0 S +VEGEMITE V EH1 JH AH0 M AY2 T +VEGESNA V EH0 G EH1 S N AH0 +VEGETABLE V EH1 JH T AH0 B AH0 L +VEGETABLES V EH1 JH T AH0 B AH0 L Z +VEGETAL V EH1 JH AH0 T AH0 L +VEGETARIAN V EH2 JH AH0 T EH1 R IY2 AH0 N +VEGETARIANISM V EH2 JH AH0 T EH1 R IY2 AH0 N IH2 Z AH0 M +VEGETARIANS V EH2 JH AH0 T EH1 R IY2 AH0 N Z +VEGETATE V EH1 JH AH0 T EY2 T +VEGETATION V EH2 JH AH0 T EY1 SH AH0 N +VEGETATIVE V EH2 JH AH0 T EY1 T IH0 V +VEGGIE V EH1 JH IY0 +VEGGIES V EH1 JH IY0 Z +VEGH V EH1 G +VEGISNAX V AH0 G IH1 S N AE0 K S +VEHEMENCE V IY1 AH0 M AH0 N S +VEHEMENCE(2) V AH0 HH IY1 M AH0 N S +VEHEMENT V IY1 AH0 M AH0 N T +VEHEMENT(2) V AH0 HH IY1 M AH0 N T +VEHEMENTLY V IY1 AH0 M AH0 N T L IY0 +VEHEMENTLY(2) V AH0 HH IY1 M AH0 N T L IY0 +VEHICLE V IY1 HH IH0 K AH0 L +VEHICLE(2) V IY1 IH0 K AH0 L +VEHICLE'S V IY1 HH IH0 K AH0 L Z +VEHICLES V IY1 HH IH0 K AH0 L Z +VEHICLES(2) V IY1 IH0 K AH0 L Z +VEHICLES' V EH1 HH IH0 K AH0 L Z +VEHICULAR V IY0 HH IH1 K Y AH0 L ER0 +VEIGA V EY1 G AH0 +VEIGEL V AY1 G AH0 L +VEIL V EY1 L +VEILED V EY1 L D +VEILING V EY1 L IH0 NG +VEILLETTE V AH0 L EH1 T +VEILLEUX V AH0 L OW1 +VEILLEUX(2) V EY1 L OW0 +VEILLON V EY1 L AH0 N +VEILS V EY1 L Z +VEIN V EY1 N +VEINS V EY1 N Z +VEIRA V EY1 R AH0 +VEIT V IY1 T +VEITCH V AY1 CH +VEITH V IY1 TH +VELA V EH1 L AH0 +VELAGRANDE V EH2 L AH0 G R AA1 N D EY2 +VELAGRANDE'S V EH2 L AH0 G R AA1 N D EY2 Z +VELARDE V EH0 L AA1 R D IY0 +VELARDI V EH0 L AA1 R D IY0 +VELARDO V EY0 L AA1 R D OW0 +VELASCO V EH0 L AA1 S K OW0 +VELASQUEZ V EH0 L AE1 S K EH0 Z +VELAYATI V EH0 L AY2 AA1 T IY0 +VELAZCO V AH0 L AE1 S K OW0 +VELAZQUEZ V EH0 L AE1 S K EH0 Z +VELCRO V EH1 L K R OW0 +VELDA V EH1 L D AH0 +VELDHUIZEN V EH1 L D HH IH0 Z AH0 N +VELDMAN V EH1 L D M AH0 N +VELEY V EH1 L IY0 +VELEZ V EH0 L EH1 Z +VELIE V EH1 L IY0 +VELIKA V EH1 L IH0 K AH0 +VELIOTIS V EH0 L IY0 OW1 T IH0 S +VELIZ V EH1 L IH0 Z +VELLA V EH1 L AH0 +VELLUCCI V EH0 L UW1 CH IY0 +VELMA V EH1 L M AH0 +VELO V EH1 L OW0 +VELOBIND V EH1 L AH0 B IH0 N D +VELOBIND(2) V EH1 L OW0 B AY2 N D +VELOCIRAPTOR V AH0 L AO1 S AH0 R AE2 P T ER0 +VELOCITIES V AH0 L AA1 S AH0 T IY0 Z +VELOCITY V AH0 L AA1 S AH0 T IY0 +VELODROME V EH2 L OW0 D R OW1 M +VELODROMES V EH2 L OW0 D R OW1 M Z +VELOSO V EH2 L OW1 S OW0 +VELOTTA V EH0 L OW1 T AH0 +VELOUR V EH2 L UW1 R +VELOZ V EY1 L OW0 Z +VELSICOL V EH1 L S IH0 K AA2 L +VELTE V EH1 L T +VELTEN V EH1 L T AH0 N +VELTMAN V EH1 L T M AH0 N +VELTRE V EH1 L T ER0 +VELTRI V EH1 L T R IY0 +VELVEETA V EH0 L V IY1 T AH0 +VELVET V EH1 L V AH0 T +VELVETEEN V EH1 L V AH0 T IY2 N +VELVETY V EH1 L V AH0 T IY0 +VEMICH V EH1 M IH0 CH +VEMPALA V EH2 M P AA1 L AH0 +VENA V IY1 N AH0 +VENABLE V EH1 N AH0 B AH0 L +VENABLES V EH1 N AH0 B AH0 L Z +VENACURO V EH0 N AH0 K Y UH1 R OW0 +VENAL V IY1 N AH0 L +VENALITY V IH0 N AE1 L IH0 T IY0 +VENALUM V EH1 N AH0 L AH0 M +VENANGO V EH0 N AE1 NG G OW0 +VENARD V EH1 N ER0 D +VENCILL V EH1 N S IH0 L +VENCOR V EH1 N K AO2 R +VENDEE V EH1 N D IY1 +VENDELA V EH0 N D EH1 L AH0 +VENDETTA V EH0 N D EH1 T AH0 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Z +VERTEX V ER1 T EH2 K S +VERTIBRAK V ER1 T AH0 B R AE0 K +VERTICAL V ER1 T IH0 K AH0 L +VERTICALLY V ER1 T IH0 K L IY0 +VERTICES V ER1 T IH0 S IY2 Z +VERTICOM V ER1 T IH0 K AA0 M +VERTIGO V ER1 T IH0 G OW2 +VERTOL V ER1 T AA0 L +VERTREES V ER0 T R IY1 Z +VERTUCCI V ER0 T UW1 CH IY0 +VERTZ V ER1 T S +VERVE V ER1 V +VERVILLE V ER1 V IH0 L +VERWEY V ER1 W IY0 +VERWOERD V ER0 W AO1 R D +VERY V EH1 R IY0 +VESCINOID V EH1 S IH0 N OY2 D +VESCIO V EH1 S IY0 OW0 +VESCO V EH1 S K OW0 +VESEL V EH1 S AH0 L +VESELKA V EY0 S EY1 L K AH0 +VESELY V IY1 Z L IY0 +VESEY V EH1 S IY0 +VESICLE V EH1 Z IH0 K AH0 L +VESICLES V EH1 Z IH0 K AH0 L Z +VESMEN V EH1 S M AH0 N +VESNA V EH1 S N AH0 +VESPA V EY1 S P AH0 +VESPER V EH1 S P ER0 +VESPERA V EY0 S P EH1 R AH0 +VESS V EH1 S +VESSEL V EH1 S AH0 L +VESSEL'S V EH1 S AH0 L Z +VESSELL V EH1 S AH0 L +VESSELS V EH1 S AH0 L Z +VESSELS'S V EH1 S AH0 L Z IH0 Z +VESSER V EH1 S ER0 +VESSEY V EH1 S IY0 +VEST V EH1 S T +VESTA V EH1 S T AH0 +VESTAL V EH1 S T AH0 L 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EH1 R IY0 NG +WESTWARDS W EH1 S T W ER0 D Z +WESTWOOD W EH1 S T W UH2 D +WESTWOOD'S W EH1 S T W UH2 D Z +WESTWORLD W EH1 S T W ER2 L D +WESUN W IY1 S AH2 N +WET W EH1 T +WETHERBEE W EH1 DH ER0 B IY2 +WETHERBY W EH1 TH ER0 B IY0 +WETHERELL W EH1 TH ER0 AH0 L +WETHERILL W EH1 TH ER0 AH0 L +WETHERINGTON W EH1 DH ER0 IH0 NG T AH0 N +WETHERLY W EH1 DH ER0 L IY0 +WETHINGTON W EH1 TH IH0 NG T AH0 N +WETLAND W EH1 T L AE2 N D +WETLANDS W EH1 T L AE2 N D Z +WETLANDS' W EH1 T L AE2 N D Z +WETMORE W EH1 T M AO0 R +WETNESS W EH1 T N AH0 S +WETSEL W EH1 T S AH0 L +WETSTEIN W EH1 T S T IY2 N +WETSTEIN(2) W EH1 T S T AY2 N +WETSUIT W EH1 T S UW2 T +WETTENGEL W EH1 T IH0 NG G AH0 L +WETTER W EH1 T ER0 +WETTERAU W EH1 T ER0 AW0 +WETTERGREEN W EH1 T ER0 G R IY2 N +WETTEST W EH1 T AH0 S T +WETTING W EH1 T IH0 NG +WETTING(2) HH W EH1 T IH0 NG +WETTLAUFER W EH1 T L AW0 F ER0 +WETTSTEIN W EH1 T S T AY0 N +WETTSTEIN(2) W EH1 T S T IY0 N +WETZ W EH1 T S +WETZEL W EH1 T Z AH0 L +WETZLER W EH1 T S L ER0 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+WHALEN(2) HH W EY1 L AH0 N +WHALER W EY1 L ER0 +WHALER(2) HH W EY1 L ER0 +WHALERS W EY1 L ER0 Z +WHALERS(2) HH W EY1 L ER0 Z +WHALES W EY1 L Z +WHALES(2) HH W EY1 L Z +WHALEY W EY1 L IY0 +WHALEY(2) HH W EY1 L IY0 +WHALIN W AE1 L IH0 N +WHALING W EY1 L IH0 NG +WHALING(2) HH W EY1 L IH0 NG +WHALLEY W AE1 L IY0 +WHAM W AE1 M +WHAM(2) HH W AE1 M +WHAMMY W AE1 M IY0 +WHAMMY(2) HH W AE1 M IY0 +WHAMPOA W AE0 M P OW1 AH0 +WHAN W AE1 N +WHAN(2) HH W AE1 N +WHANG W AE1 NG +WHANG(2) HH W AE1 NG +WHARF W AO1 R F +WHARF(2) HH W AO1 R F +WHARF'S W AO1 R F S +WHARF'S(2) HH W AO1 R F S +WHARFF W AA1 R F +WHARFF(2) HH W AA1 R F +WHARFS W AO1 R F S +WHARFS(2) HH W AO1 R F S +WHARRY W AE1 R IY0 +WHARRY(2) HH W AE1 R IY0 +WHARTON W AO1 R T AH0 N +WHARTON'S W AO1 R T AH0 N Z +WHAT W AH1 T +WHAT(2) HH W AH1 T +WHAT'D W AH1 T IH0 D +WHAT'D(2) HH W AH1 T IH0 D +WHAT'LL W AH1 T AH0 L +WHAT'LL(2) HH W AH1 T AH0 L +WHAT'RE W AH1 T ER0 +WHAT'RE(2) HH W AH1 T ER0 +WHAT'S W AH1 T S +WHAT'S(2) HH W AH1 T S +WHAT'VE W AH1 T AH0 V +WHAT-WHAT W AH1 T W AH1 T +WHATE W EY1 T +WHATEVER W AH2 T EH1 V ER0 +WHATEVER(2) HH W AH2 T EH1 V ER0 +WHATEVER'S W AH2 T EH1 V ER0 Z +WHATEVER'S(2) HH W AH2 T EH1 V ER0 Z +WHATLEY W AH1 T L IY0 +WHATLEY(2) HH W AH1 T L IY0 +WHATNOT W AH1 T N AA2 T +WHATNOT(2) HH W AH1 T N AA2 T +WHATS W AH0 T S +WHATS(2) HH W AH0 T S +WHATSAPP W AH2 T S AA1 P +WHATSOEVER W AH2 T S OW0 EH1 V ER0 +WHATSOEVER(2) HH W AH2 T S OW0 EH1 V ER0 +WHAY-YU W EY1 Y UW1 +WHAY-YU(2) HH W EY1 Y UW1 +WHEAT W IY1 T +WHEAT(2) HH W IY1 T +WHEATEN W IY1 T AH0 N +WHEATEN(2) HH W IY1 T AH0 N +WHEATIE W IY1 T IY0 +WHEATIE(2) HH W IY1 T IY0 +WHEATIES W IY1 T IY0 Z +WHEATIES(2) HH W IY1 T IY0 Z +WHEATLEY W IY1 T L IY0 +WHEATLEY(2) HH W IY1 T L IY0 +WHEATLY W IY1 T L IY0 +WHEATLY(2) HH W IY1 T L IY0 +WHEATON W IY1 T AH0 N +WHEATON(2) HH W IY1 T AH0 N +WHEDBEE W EH1 D B IY2 +WHEDBEE(2) HH W EH1 D B IY2 +WHEDON W EH1 D AH0 N +WHEDON(2) HH W EH1 D AH0 N +WHEEL W IY1 L +WHEEL(2) HH W IY1 L +WHEELABRATOR W IY2 L AH0 B R EY1 T ER0 +WHEELABRATOR(2) HH W IY2 L AH0 B R EY1 T ER0 +WHEELAN W IY1 L AH0 N +WHEELAN(2) HH W IY1 L AH0 N +WHEELAND W IY1 L AH0 N D +WHEELAND(2) HH W IY1 L AH0 N D +WHEELBARROW W IY1 L B EH2 R OW0 +WHEELBARROW(2) HH W IY1 L B EH2 R OW0 +WHEELBARROWS W IY1 L B EH2 R OW0 Z +WHEELBARROWS(2) HH W IY1 L B EH2 R OW0 Z +WHEELBASE W IY1 L B EY2 S +WHEELBASE(2) HH W IY1 L B EY2 S +WHEELCHAIR W IY1 L CH EH2 R +WHEELCHAIR(2) HH W IY1 L CH EH2 R +WHEELCHAIRS W IY1 L CH EH2 R Z +WHEELCHAIRS(2) HH W IY1 L CH EH2 R Z +WHEELDON W IY1 L D AH0 N +WHEELDON(2) HH W IY1 L D AH0 N +WHEELED W IY1 L D +WHEELED(2) HH W IY1 L D +WHEELER W IY1 L ER0 +WHEELER(2) HH W IY1 L ER0 +WHEELER'S W IY1 L ER0 Z +WHEELER'S(2) HH W IY1 L ER0 Z +WHEELERS W IY1 L ER0 Z +WHEELERS(2) HH W IY1 L ER0 Z +WHEELESS W IY1 L AH0 S +WHEELESS(2) HH W IY1 L AH0 S +WHEELING W IY1 L IH0 NG +WHEELING(2) HH W IY1 L IH0 NG +WHEELING'S W IY1 L IH0 NG Z +WHEELING'S(2) HH W IY1 L IH0 NG Z +WHEELIS W IY1 L IH0 S +WHEELIS(2) HH W IY1 L IH0 S +WHEELOCK W IY1 L AA2 K +WHEELOCK(2) HH W IY1 L AA2 K +WHEELON W IY1 L AH0 N +WHEELON(2) HH W IY1 L AH0 N +WHEELS W IY1 L Z +WHEELS(2) HH W IY1 L Z +WHEELUS W IY1 L AH0 S +WHEELUS(2) HH W IY1 L AH0 S +WHEELWRIGHT W IY1 L R AY2 T +WHEELWRIGHT(2) HH W IY1 L R AY2 T +WHEELWRITER W IY1 L R AY2 T ER0 +WHEELWRITER(2) HH W IY1 L R AY2 T ER0 +WHEEZE W IY1 Z +WHEEZE(2) HH W IY1 Z +WHEEZES W IY1 Z AH0 Z +WHEEZES(2) HH W IY1 Z AH0 Z +WHEEZES(3) W IY1 Z IH0 Z +WHEEZING W IY1 Z IH0 NG +WHEEZING(2) HH W IY1 Z IH0 NG +WHELAN W EH1 L AH0 N +WHELAN(2) HH W EH1 L AH0 N +WHELAN(3) HH W IY1 L AH0 N +WHELAN(4) W IY1 L AH0 N +WHELCHEL W EH1 L CH AH0 L +WHELCHEL(2) HH W EH1 L CH AH0 L +WHELESS W IY1 L IH0 S +WHELESS(2) HH W IY1 L IH0 S +WHELPLEY W EH1 L P L IY0 +WHELPLEY(2) HH W EH1 L P L IY0 +WHELTON W EH1 L T AH0 N +WHELTON(2) HH W EH1 L T AH0 N +WHEN W EH1 N +WHEN(2) HH W EH1 N +WHEN(3) W IH1 N +WHEN(4) HH W IH1 N +WHEN'LL W EH1 N AH0 L +WHEN'LL(2) HH W EH1 N AH0 L +WHEN'S W EH1 N Z +WHEN'S(2) HH W EH1 N Z +WHENCE W EH1 N S +WHENCE(2) HH W EH1 N S +WHENEVER W EH0 N EH1 V ER0 +WHENEVER(2) HH W EH0 N EH1 V ER0 +WHERE W EH1 R +WHERE(2) HH W EH1 R +WHERE'D W EH1 R D +WHERE'D(2) HH W EH1 R D +WHERE'RE W EH1 R ER0 +WHERE'S W EH1 R Z +WHERE'S(2) HH W EH1 R Z +WHERE'VE W EH1 R AH0 V +WHEREABOUTS W EH1 R AH0 B AW2 T S +WHEREABOUTS(2) HH W EH1 R AH0 B AW2 T S +WHEREAS W EH0 R AE1 Z +WHEREAS(2) HH W EH0 R AE1 Z +WHEREBY W EH0 R B AY1 +WHEREBY(2) HH W EH0 R B AY1 +WHEREFORE W EH0 R F AO1 R +WHEREIN W EH0 R IH1 N +WHEREIN(2) HH W EH0 R IH1 N +WHEREUPON W EH1 R AH0 P AA1 N +WHEREUPON(2) HH W EH1 R AH0 P AA1 N +WHEREVER W EH0 R EH1 V ER0 +WHEREVER(2) HH W EH0 R EH1 V ER0 +WHEREWITHAL W EH1 R W IH0 DH AO2 L +WHEREWITHAL(2) HH W EH1 R W IH0 DH AO2 L +WHERLEY W ER1 L IY0 +WHERLEY(2) HH W ER1 L IY0 +WHERRY W EH1 R IY0 +WHERRY(2) HH W EH1 R IY0 +WHET W EH1 T +WHET(2) HH W EH1 T +WHETHER W EH1 DH ER0 +WHETHER(2) HH W EH1 DH ER0 +WHETSEL W EH1 T S AH0 L +WHETSEL(2) HH W EH1 T S AH0 L +WHETSELL W EH1 T S AH0 L +WHETSELL(2) HH W EH1 T S AH0 L +WHETSTINE W EH1 T S T IY0 N +WHETSTINE(2) HH W EH1 T S T IY0 N +WHETSTONE W EH1 T S T OW2 N +WHETSTONE(2) HH W EH1 T S T OW2 N +WHETTED W EH1 T IH0 D +WHETTED(2) HH W EH1 T IH0 D +WHETZEL W EH1 T Z AH0 L +WHETZEL(2) HH W EH1 T Z AH0 L +WHEW W UW1 +WHEW(2) HH W UW1 +WHEW(3) HH Y UW1 +WHEY W EY1 +WHEY(2) HH W EY1 +WHICH W IH1 CH +WHICH(2) HH W IH1 CH +WHICH'RE W IH1 CH ER0 +WHICH'RE(2) HH W IH1 CH ER0 +WHICH'S W IH1 CH IH0 Z +WHICH'S(2) HH W IH1 CH IH0 Z +WHICHARD W IH1 CH ER0 D +WHICHARD(2) HH W IH1 CH ER0 D +WHICHEVER W IH0 CH EH1 V ER0 +WHICHEVER(2) HH W IH0 CH EH1 V ER0 +WHICKER W IH1 K ER0 +WHICKER(2) HH W IH1 K ER0 +WHIDBY W IH1 D B IY0 +WHIDBY(2) HH W IH1 D B IY0 +WHIDDEN W IH1 D AH0 N +WHIDDEN(2) HH W IH1 D AH0 N +WHIDDON W IH1 D AH0 N +WHIDDON(2) HH W IH1 D AH0 N +WHIFF W IH1 F +WHIFF(2) HH W IH1 F +WHIG W IH1 G +WHIG(2) HH W IH1 G +WHIGHAM W IH1 G AH0 M +WHIGHAM(2) HH W IH1 G AH0 M +WHIGS W IH1 G Z +WHIGS(2) HH W IH1 G Z +WHILDEN W AY1 L D AH0 N +WHILDEN(2) HH W AY1 L D AH0 N +WHILE W AY1 L +WHILE(2) HH W AY1 L +WHILES W AY1 L Z +WHILES(2) HH W AY1 L Z +WHILST W AY1 L S T +WHIM W IH1 M +WHIM(2) HH W IH1 M +WHIMPER W IH1 M P ER0 +WHIMPER(2) HH W IH1 M P ER0 +WHIMPERING W IH1 M P ER0 IH0 NG +WHIMPERING(2) HH W IH1 M P ER0 IH0 NG +WHIMS W IH1 M Z +WHIMS(2) HH W IH1 M Z +WHIMSICAL W IH1 M Z IH0 K AH0 L +WHIMSICAL(2) HH W IH1 M Z IH0 K AH0 L +WHIMSICALLY W IH1 M Z IH0 K L IY0 +WHIMSICALLY(2) HH W IH1 M Z IH0 K L IY0 +WHIMSY W IH1 M S IY0 +WHIMSY(2) HH W IH1 M S IY0 +WHINE W AY1 N +WHINE(2) HH W AY1 N +WHINER W AY1 N ER0 +WHINER(2) HH W AY1 N ER0 +WHINERS W AY1 N ER0 Z +WHINERS(2) HH W AY1 N ER0 Z +WHINERY W AY1 N ER0 IY0 +WHINERY(2) HH W AY1 N ER0 IY0 +WHINES W AY1 N Z +WHINES(2) HH W AY1 N Z +WHINING W AY1 N IH0 NG +WHINING(2) HH W AY1 N IH0 NG +WHINNERY W IH1 N ER0 IY0 +WHINNERY(2) HH W IH1 N ER0 IY0 +WHINNEY W IH1 N IY0 +WHINNEY(2) HH W IH1 N IY0 +WHINY W AY1 N IY0 +WHINY(2) HH W AY1 N IY0 +WHIP W IH1 P +WHIP(2) HH W IH1 P +WHIPKEY W IH1 P K IY2 +WHIPKEY(2) HH W IH1 P K IY2 +WHIPLASH W IH1 P L AE2 SH +WHIPLASH(2) HH W IH1 P L AE2 SH +WHIPLASHES W IH1 P L AE2 SH AH0 Z +WHIPLASHES(2) HH W IH1 P L AE2 SH AH0 Z +WHIPP W IH1 P +WHIPP(2) HH W IH1 P +WHIPPANY W IH1 P AH0 N IY0 +WHIPPANY(2) HH W IH1 P AH0 N IY0 +WHIPPED W IH1 P T +WHIPPED(2) HH W IH1 P T +WHIPPING W IH1 P IH0 NG +WHIPPING(2) HH W IH1 P IH0 NG +WHIPPLE W IH1 P AH0 L +WHIPPLE(2) HH W IH1 P AH0 L +WHIPPLE'S W IH1 P AH0 L Z +WHIPPLE'S(2) HH W IH1 P AH0 L Z +WHIPPOORWILLS W IH1 P ER0 W IH2 L Z +WHIPPOORWILLS(2) HH W IH1 P ER0 W IH2 L Z +WHIPPS W IH1 P S +WHIPPS(2) HH W IH1 P S +WHIPS W IH1 P S +WHIPS(2) HH W IH1 P S +WHIPSAW W IH1 P S AO2 +WHIPSAW(2) HH W IH1 P S AO2 +WHIPSAWED W IH1 P S AO2 D +WHIPSAWED(2) HH W IH1 P S AO2 D +WHIPSAWING W IH1 P S AO2 IH0 NG +WHIPSAWING(2) HH W IH1 P S AO2 IH0 NG +WHIRL W ER1 L +WHIRL(2) HH W ER1 L +WHIRLED W ER1 L D +WHIRLED(2) HH W ER1 L D +WHIRLEY W ER1 L IY0 +WHIRLEY(2) HH W ER1 L IY0 +WHIRLING W ER1 L IH0 NG +WHIRLING(2) HH W ER1 L IH0 NG +WHIRLPOOL W ER1 L P UW2 L +WHIRLPOOL(2) HH W ER1 L P UW2 L +WHIRLPOOL'S W ER1 L P UW2 L Z +WHIRLPOOL'S(2) HH W ER1 L P UW2 L Z +WHIRLPOOLS W ER1 L P UW2 L Z +WHIRLPOOLS(2) HH W ER1 L P UW2 L Z +WHIRLWIND W ER1 L W IH2 N D +WHIRLWIND(2) HH W ER1 L W IH2 N D +WHIRRING W ER1 IH0 NG +WHIRRING(2) HH W ER1 IH0 NG +WHISENAND W IH1 S IH0 N AE0 N D +WHISENAND(2) HH W IH1 S IH0 N AE0 N D +WHISENANT W IH1 S IH0 N AH0 N T +WHISENANT(2) HH W IH1 S IH0 N AH0 N T +WHISENHUNT W AY1 Z AH0 N HH AH2 N T +WHISENHUNT(2) HH W AY1 Z AH0 N HH AH2 N T +WHISK W IH1 S K +WHISK(2) HH W IH1 S K +WHISKED W IH1 S K T +WHISKED(2) HH W IH1 S K T +WHISKER W IH1 S K ER0 +WHISKER(2) HH W IH1 S K ER0 +WHISKERED W IH1 S K ER0 D +WHISKERS W IH1 S K ER0 Z +WHISKERS(2) HH W IH1 S K ER0 Z +WHISKEY W IH1 S K IY0 +WHISKEY(2) HH W IH1 S K IY0 +WHISKEYS W IH1 S K IY0 Z +WHISKEYS(2) HH W IH1 S K IY0 Z +WHISKS W IH1 S K S +WHISKS(2) HH W IH1 S K S +WHISKY W IH1 S K IY0 +WHISKY(2) HH W IH1 S K IY0 +WHISLER W IH1 S L ER0 +WHISLER(2) HH W IH1 S L ER0 +WHISMAN W IH1 S M AH0 N +WHISMAN(2) HH W IH1 S M AH0 N +WHISNANT W IH1 S N AH0 N T +WHISNANT(2) HH W IH1 S N AH0 N T +WHISNER W IH1 S N ER0 +WHISNER(2) HH W IH1 S N ER0 +WHISONANT W IH1 S AH0 N AH0 N T +WHISPER W IH1 S P ER0 +WHISPER(2) HH W IH1 S P ER0 +WHISPERED W IH1 S P ER0 D +WHISPERED(2) HH W IH1 S P ER0 D +WHISPERER W IH1 S P AH0 R ER2 +WHISPERER'S W IH1 S P AH0 R ER2 Z +WHISPERERS W IH1 S P AH0 R ER2 Z +WHISPERING W IH1 S P ER0 IH0 NG +WHISPERING(2) HH W IH1 S P ER0 IH0 NG +WHISPERS W IH1 S P ER0 Z +WHISPERS(2) HH W IH1 S P ER0 Z +WHISTLE W IH1 S AH0 L +WHISTLE(2) HH W IH1 S AH0 L +WHISTLEBLOWER W IH1 S AH0 L B L OW2 ER0 +WHISTLEBLOWER(2) HH W IH1 S AH0 L B L OW2 ER0 +WHISTLEBLOWERS W IH1 S AH0 L B L OW2 ER0 Z +WHISTLEBLOWERS(2) HH W IH1 S AH0 L B L OW2 ER0 Z +WHISTLED W IH1 S AH0 L D +WHISTLED(2) HH W IH1 S AH0 L D +WHISTLER W IH1 S L ER0 +WHISTLER(2) HH W IH1 S L ER0 +WHISTLERS W IH1 S L ER0 Z +WHISTLERS(2) HH W IH1 S L ER0 Z +WHISTLES W IH1 S AH0 L Z +WHISTLES(2) HH W IH1 S AH0 L Z +WHISTLING W IH1 S L IH0 NG +WHISTLING(2) HH W IH1 S L IH0 NG +WHISTON W IH1 S T AH0 N +WHISTON(2) HH W IH1 S T AH0 N +WHIT W IH1 T +WHIT(2) HH W IH1 T +WHITACRE W IH1 T AH0 K ER0 +WHITACRE(2) HH W IH1 T AH0 K ER0 +WHITAKER W IH1 T AH0 K ER0 +WHITAKER(2) HH W IH1 T AH0 K ER0 +WHITBECK W IH1 T B EH2 K +WHITBECK(2) HH W IH1 T B EH2 K +WHITBREAD W IH1 T B R EH2 D +WHITBREAD(2) HH W IH1 T B R EH2 D +WHITBY W IH1 T B IY0 +WHITBY(2) HH W IH1 T B IY0 +WHITCHER W IH1 CH ER0 +WHITCHER(2) HH W IH1 CH ER0 +WHITCHURCH W IH1 T CH ER2 CH +WHITCHURCH(2) HH W IH1 T CH ER2 CH +WHITCOMB W IH1 T K AH0 M +WHITCOMB(2) HH W IH1 T K AH0 M +WHITCRAFT W IH1 T K R AE2 F T +WHITCRAFT(2) HH W IH1 T K R AE2 F T +WHITE W AY1 T +WHITE(2) HH W AY1 T +WHITE'S W AY1 T S +WHITE'S(2) HH W AY1 T S +WHITEAKER W IH1 T AH0 K ER0 +WHITEAKER(2) HH W IH1 T AH0 K ER0 +WHITEBREAD W AY1 T B R EH2 D +WHITEBREAD(2) HH W AY1 T B R EH2 D +WHITECOTTON W AY1 T K AA2 T AH0 N +WHITECOTTON(2) HH W AY1 T K AA2 T AH0 N +WHITED W AY1 T IH0 D +WHITED(2) HH W AY1 T IH0 D +WHITEFIELD W AY1 T F IY2 L D +WHITEFIELD(2) HH W AY1 T F IY2 L D +WHITEFISH W AY1 T F IH2 SH +WHITEFISH(2) HH W AY1 T F IH2 SH +WHITEFORD W AY1 T F AO0 R D +WHITEFORD(2) HH W AY1 T F AO0 R D +WHITEHAIR W AY1 T HH EH1 R +WHITEHAIR(2) HH W AY1 T HH EH1 R +WHITEHALL W AY1 T HH AO2 L +WHITEHALL(2) HH W AY1 T HH AO2 L +WHITEHALL'S W AY1 T HH AO2 L Z +WHITEHALL'S(2) HH W AY1 T HH AO2 L Z +WHITEHEAD W AY1 T HH EH2 D +WHITEHEAD(2) HH W AY1 T HH EH2 D +WHITEHEAD'S W AY1 T HH EH2 D Z +WHITEHEAD'S(2) HH W AY1 T HH EH2 D Z +WHITEHILL W AY1 T HH IH2 L +WHITEHILL(2) HH W AY1 T HH IH2 L +WHITEHORN W AY1 T HH AO2 R N +WHITEHORN(2) HH W AY1 T HH AO2 R N +WHITEHORSE W AY1 T HH AO2 R S +WHITEHORSE(2) HH W AY1 T HH AO2 R S +WHITEHOUSE W AY1 T HH AW2 S +WHITEHOUSE(2) HH W AY1 T HH AW2 S +WHITEHURST W AY1 T HH ER2 S T +WHITEHURST(2) HH W AY1 T HH ER2 S T +WHITEHURST'S W AY1 T HH ER2 S T S +WHITELAW W AY1 T L AO2 +WHITELAW(2) HH W AY1 T L AO2 +WHITELEY W AY1 T L IY0 +WHITELEY(2) HH W AY1 T L IY0 +WHITELOCK W AY1 T L AA2 K +WHITELOCK(2) HH W AY1 T L AA2 K +WHITELY W AY1 T L IY0 +WHITELY(2) HH W AY1 T L IY0 +WHITEMAN W AY1 T M AH0 N +WHITEMAN(2) HH W AY1 T M AH0 N +WHITEMONT W AY1 T M AA2 N T +WHITEMONT(2) HH W AY1 T M AA2 N T +WHITEN W AY1 T AH0 N +WHITEN(2) HH W AY1 T AH0 N +WHITENACK W AY1 T N AE2 K +WHITENACK(2) HH W AY1 T N AE2 K +WHITENEIR W AY1 T N IH2 R +WHITENEIR(2) HH W AY1 T N IH2 R +WHITENER W AY1 T N ER0 +WHITENER(2) HH W AY1 T N ER0 +WHITENESS W AY1 T N AH0 S +WHITENESS(2) HH W AY1 T N AH0 S +WHITENIGHT W AY1 T N AY2 T +WHITENIGHT(2) HH W AY1 T N AY2 T +WHITENING W AY1 T IH0 N IH0 NG +WHITENING(2) W AY1 T N IH0 NG +WHITENING(3) HH W AY1 T IH0 N IH0 NG +WHITENING(4) HH W AY1 T N IH0 NG +WHITER W AY1 T ER0 +WHITER(2) HH W AY1 T ER0 +WHITES W AY1 T S +WHITES(2) HH W AY1 T S +WHITESCARVER W AY1 T S K AA2 R V ER0 +WHITESCARVER(2) HH W AY1 T S K AA2 R V ER0 +WHITESEL W AY1 T S EH2 L +WHITESEL(2) HH W AY1 T S EH2 L +WHITESELL W AY1 T S EH2 L +WHITESELL(2) HH W AY1 T S EH2 L +WHITESIDE W AY1 T S AY2 D +WHITESIDE(2) HH W AY1 T S AY2 D +WHITESIDES W AY1 T S AY2 D Z +WHITESIDES(2) HH W AY1 T S AY2 D Z +WHITEST W AY1 T IH0 S T +WHITEST(2) HH W AY1 T IH0 S T +WHITESTONE W AY1 T S T OW2 N +WHITESTONE(2) HH W AY1 T S T OW2 N +WHITETAIL W AY1 T T EY2 L +WHITETAIL(2) HH W AY1 T T EY2 L +WHITETAIL(3) HH W AY1 T EY2 L +WHITEWASH W AY1 T W AA2 SH +WHITEWASH(2) HH W AY1 T W AA2 SH +WHITEWASHED W AY1 T W AA2 SH T +WHITEWASHED(2) HH W AY1 T W AA2 SH T +WHITEWATER W AY1 T W AO2 T ER0 +WHITEWATER(2) HH W AY1 T W AO2 T ER0 +WHITEWATER'S W AY1 T W AO2 T ER0 Z +WHITEWATER'S(2) HH W AY1 T W AO2 T ER0 Z +WHITEY W AY1 T IY2 +WHITEY(2) HH W AY1 T IY2 +WHITEY(3) HH W AY1 T IY0 +WHITFIELD W IH1 T F IY0 L D +WHITFIELD(2) HH W IH1 T F IY0 L D +WHITFILL W IH1 T F IH2 L +WHITFILL(2) HH W IH1 T F IH2 L +WHITFORD W IH1 T F ER0 D +WHITFORD(2) HH W IH1 T F ER0 D +WHITHAM W IH1 TH AH0 M +WHITHAM(2) HH W IH1 TH AH0 M +WHITHAM(3) HH W IH1 T AH0 M +WHITHER W IH1 DH ER0 +WHITHER(2) HH W IH1 DH ER0 +WHITING W AY1 T IH0 NG +WHITING(2) HH W AY1 T IH0 NG +WHITINGS W AY1 T IH0 NG Z +WHITINGS(2) HH W AY1 T IH0 NG Z +WHITIS W AY1 T IH0 S +WHITIS(2) HH W AY1 T IH0 S +WHITISH W AY1 T IH0 SH +WHITISH(2) HH W AY1 T IH0 SH +WHITLATCH W IH1 T L AE2 CH +WHITLATCH(2) HH W IH1 T L AE2 CH +WHITLEDGE W IH1 T L EH2 JH +WHITLEDGE(2) HH W IH1 T L EH2 JH +WHITLEY W IH1 T L IY0 +WHITLEY(2) HH W IH1 T L IY0 +WHITLING W IH1 T L IH0 NG +WHITLING(2) HH W IH1 T L IH0 NG +WHITLOCK W IH1 T L AA2 K +WHITLOCK(2) HH W IH1 T L AA2 K +WHITLOW W IH1 T L OW2 +WHITLOW(2) HH W IH1 T L OW2 +WHITLY W IH1 T L IY0 +WHITLY(2) HH W IH1 T L IY0 +WHITMAN W IH1 T M AH0 N +WHITMAN(2) HH W IH1 T M AH0 N +WHITMAN'S W IH1 T M AH0 N Z +WHITMAN'S(2) HH W IH1 T M AH0 N Z +WHITMARSH W IH1 T M AA2 R SH +WHITMARSH(2) HH W IH1 T M AA2 R SH +WHITMER W IH1 T M ER0 +WHITMER(2) HH W IH1 T M ER0 +WHITMILL W IH1 T M IH2 L +WHITMILL(2) HH W IH1 T M IH2 L +WHITMIRE W IH1 T M AY2 R +WHITMIRE(2) HH W IH1 T M AY2 R +WHITMORE W IH1 T M AO0 R +WHITMORE(2) HH W IH1 T M AO0 R +WHITMOYER W IH1 T M OY2 ER0 +WHITMOYER(2) HH W IH1 T M OY2 ER0 +WHITMYER W IH1 T M AY2 ER0 +WHITMYER(2) HH W IH1 T M AY2 ER0 +WHITNER W IH1 T N ER0 +WHITNER(2) HH W IH1 T N ER0 +WHITNEY W IH1 T N IY0 +WHITNEY(2) HH W IH1 T N IY0 +WHITNEY'S W IH1 T N IY0 Z +WHITNEY'S(2) HH W IH1 T N IY0 Z +WHITON W IH1 T AH0 N +WHITON(2) HH W IH1 T AH0 N +WHITROW W IH1 T R OW2 +WHITROW(2) HH W IH1 T R OW2 +WHITSEL W IH1 T S AH0 L +WHITSEL(2) HH W IH1 T S AH0 L +WHITSELL W IH1 T S AH0 L +WHITSELL(2) HH W IH1 T S AH0 L +WHITSETT W IH1 T S IH0 T +WHITSETT(2) HH W IH1 T S IH0 T +WHITSITT W IH1 T S IH0 T +WHITSITT(2) HH W IH1 T S IH0 T +WHITSON W IH1 T S AH0 N +WHITSON(2) HH W IH1 T S AH0 N +WHITT W IH1 T +WHITT(2) HH W IH1 T +WHITTAKER W IH1 T AH0 K ER0 +WHITTAKER(2) HH W IH1 T AH0 K ER0 +WHITTED W IH1 T IH0 D +WHITTED(2) HH W IH1 T IH0 D +WHITTEMORE W IH1 T M AO0 R +WHITTEMORE(2) HH W IH1 T M AO0 R +WHITTEN W IH1 T AH0 N +WHITTEN(2) HH W IH1 T AH0 N +WHITTENBERG W IH1 T AH0 N B ER0 G +WHITTENBERG(2) HH W IH1 T AH0 N B ER0 G +WHITTENBURG W IH1 T AH0 N B ER0 G +WHITTENBURG(2) HH W IH1 T AH0 N B ER0 G +WHITTET W IH1 T IH0 T +WHITTET(2) HH W IH1 T IH0 T +WHITTIER W IH1 T IY0 ER0 +WHITTIER(2) HH W IH1 T IY0 ER0 +WHITTING W IH1 T IH0 NG +WHITTING(2) HH W IH1 T IH0 NG +WHITTINGHAM W IH1 T IH0 NG HH AE2 M +WHITTINGHAM(2) HH W IH1 T IH0 NG HH AE2 M +WHITTINGHILL W IH1 T IH0 NG HH IH2 L +WHITTINGHILL(2) HH W IH1 T IH0 NG HH IH2 L +WHITTINGTON W IH1 T IH0 NG T AH0 N +WHITTINGTON(2) HH W IH1 T IH0 NG T AH0 N +WHITTLE W IH1 T AH0 L +WHITTLE(2) HH W IH1 T AH0 L +WHITTLE'S W IH1 T AH0 L Z +WHITTLE'S(2) HH W IH1 T AH0 L Z +WHITTLED W IH1 T AH0 L D +WHITTLED(2) HH W IH1 T AH0 L D +WHITTLESEY W IH1 T AH0 L S IY0 +WHITTLESEY(2) HH W IH1 T AH0 L S IY0 +WHITTLING W IH1 T L IH0 NG +WHITTLING(2) HH W IH1 T L IH0 NG +WHITTON W IH1 T AH0 N +WHITTON(2) HH W IH1 T AH0 N +WHITTY W IH1 T IY0 +WHITTY(2) HH W IH1 T IY0 +WHITWAM W IH1 T W AA0 M +WHITWAM(2) HH W IH1 T W AA0 M +WHITWELL W IH1 T W EH2 L +WHITWELL(2) HH W IH1 T W EH2 L +WHITWORTH W IH1 T W ER2 TH +WHITWORTH(2) HH W IH1 T W ER2 TH +WHIZ W IH1 Z +WHIZ(2) HH W IH1 Z +WHIZ-ZIP-BANG W IH1 Z Z IH1 P B AE1 NG +WHIZZED W IH1 Z D +WHIZZED(2) HH W IH1 Z D +WHIZZER W IH1 Z ER0 +WHIZZER(2) HH W IH1 Z ER0 +WHIZZES W IH1 Z IH0 Z +WHIZZES(2) HH W IH1 Z IH0 Z +WHIZZING W IH1 Z IH0 NG +WHIZZING(2) HH W IH1 Z IH0 NG +WHO HH UW1 +WHO'D HH UW1 D +WHO'LL HH UW1 L +WHO'RE HH UW1 ER0 +WHO'S HH UW1 Z +WHO'VE HH UW0 V +WHOA W OW1 +WHOA(2) HH W OW1 +WHOA(3) HH OW1 +WHOBREY W AA1 B R IY0 +WHODUNIT HH UW0 D AH1 N IH0 T +WHODUNITS HH UW0 D AH1 N IH0 T S +WHOEVER HH UW0 EH1 V ER0 +WHOEVER'S HH UW0 EH1 V ER0 Z +WHOLE HH OW1 L +WHOLEHEARTED HH OW1 L HH AA2 R T IH0 D +WHOLEHEARTEDLY HH OW1 L HH AA0 R T IH0 D L IY0 +WHOLENESS HH OW1 L N IH0 S +WHOLES HH OW1 L Z +WHOLESALE HH OW1 L S EY2 L +WHOLESALER HH OW1 L S EY2 L ER0 +WHOLESALER'S HH OW1 L S EY2 L ER0 Z +WHOLESALERS HH OW1 L S EY2 L ER0 Z +WHOLESALERS' HH OW1 L S EY2 L ER0 Z +WHOLESALES HH OW1 L S EY2 L Z +WHOLESALING HH OW1 L S EY2 L IH0 NG +WHOLESOME HH OW1 L S AH0 M +WHOLESOMENESS HH OW1 L S AH0 M N AH0 S +WHOLEY HH AA1 L IY0 +WHOLLY HH OW1 L IY0 +WHOM HH UW1 M +WHOMEVER HH UW0 M EH1 V ER0 +WHOMSOEVER HH UW2 M S OW0 EH1 V ER0 +WHOO W UW1 +WHOOP W UW1 P +WHOOP(2) HH W UW1 P +WHOOPDEDOO W UH1 P D IY0 D UW0 +WHOOPDEDOO(2) HH W UH1 P D IY0 D UW0 +WHOOPED W UW1 P T +WHOOPED(2) HH W UW1 P T +WHOOPEE W UW1 P IY1 +WHOOPEE(2) HH W UW1 P IY1 +WHOOPI W UW1 P IY0 +WHOOPI(2) HH W UW1 P IY0 +WHOOPIE W UW1 P IY0 +WHOOPIE(2) HH W UW1 P IY0 +WHOOPING W UW1 P IH0 NG +WHOOPING(2) HH W UW1 P IH0 NG +WHOOPS W UW1 P S +WHOOPS(2) HH W UW1 P S +WHOOSH W UW1 SH +WHOOSH(2) HH W UW1 SH +WHOPPER W AA1 P ER0 +WHOPPER(2) HH W AA1 P ER0 +WHOPPERS W AA1 P ER0 Z +WHOPPERS(2) HH W AA1 P ER0 Z +WHOPPING W AA1 P IH0 NG +WHOPPING(2) HH W AA1 P IH0 NG +WHORE HH AO1 R +WHOREHOUSE HH AO1 R HH AW2 S +WHORES HH AO1 R Z +WHORL W ER1 L +WHORL(2) W AO1 R L +WHORL(3) HH W AO1 R L +WHORLEY HH AO1 R L IY0 +WHORLEY(2) W AO1 R L IY0 +WHORLEY(3) HH W AO1 R L IY0 +WHORLS W ER1 L Z +WHORLS(2) W AO1 R L Z +WHORLS(3) HH W AO1 R L Z +WHORTON HH AO1 R T AH0 N +WHOSE HH UW1 Z +WHOSOEVER HH UW2 S OW0 EH1 V ER0 +WHY W AY1 +WHY(2) HH W AY1 +WHY'D W AY1 D +WHY'D(2) HH W AY1 D +WHY'RE W AY1 ER0 +WHY'S W AY1 Z +WHY'S(2) HH W AY1 Z +WHYS W AY1 Z +WHYS(2) HH W AY1 Z +WHYTE W AY1 T +WHYTE(2) HH W AY1 T +WI-FI W AY1 F AY2 +WIACEK V AY1 AH0 CH EH2 K +WIAN W AY1 AH0 N +WIANT W AY1 AH0 N T +WIARD W AY1 AA0 R D +WIATER W AY1 AH0 T ER0 +WIATROWSKI V IY0 AH0 T R AO1 F S K IY2 +WIATT W AY1 AH0 T +WIBBELSMAN W IH1 B AH0 L Z M AH0 N +WIBBENMEYER W IH1 B IH0 N M AY2 ER0 +WIBERG W AY1 B ER0 G +WIBLE W AY1 B AH0 L +WICAT W IH1 K AE0 T +WICCA W IH1 K AH0 +WICCAN W IH1 K AH0 N +WICE W AY1 S +WICH W IH1 CH +WICHERN W IH1 K ER0 N +WICHERT W IH1 CH ER0 T +WICHITA W IH1 CH AH0 T AO2 +WICHITA'S W IH1 CH AH0 T AO2 Z +WICHMAN W IH1 CH M AH0 N +WICHMANN W IH1 CH M AH0 N +WICK W IH1 K +WICKARD W IH1 K ER0 D +WICKE W IH1 K +WICKED W IH1 K AH0 D +WICKEDLY W IH1 K IH0 D L IY0 +WICKEDNESS W IH1 K AH0 D N AH0 S +WICKENS W IH1 K AH0 N Z +WICKER W IH1 K ER0 +WICKER'S W IH1 K ER0 Z +WICKERHAM W IH1 K ER0 HH AE2 M +WICKERS W IH1 K ER0 Z +WICKERSHAM W IH1 K ER0 SH AE2 M +WICKERT W IH1 K ER0 T +WICKES W IH1 K S +WICKES'S W IH1 K S IH0 Z +WICKET W IH1 K AH0 T +WICKET(2) HH W IH1 K AH0 T +WICKETS W IH1 K AH0 T S +WICKETS(2) HH W IH1 K AH0 T S +WICKETT W IH1 K IH0 T +WICKEY W IH1 K IY0 +WICKHAM W IH1 K AH0 M +WICKIZER W IH1 K AY2 Z ER0 +WICKLAND W IH1 K L AH0 N D +WICKLANDER W IH1 K L AE2 N D ER0 +WICKLEY W IH1 K L IY0 +WICKLIFF W IH1 K L IH0 F +WICKLIFFE W IH1 K L IH0 F +WICKLINE W IH1 K L AY2 N +WICKLUND W IH1 K L AH0 N D +WICKMAN W IH1 K M AH0 N +WICKS W IH1 K S +WICKSTROM W IH1 K S T R AH0 M +WICKWARE W IH1 K W EH2 R +WICKWIRE V IH1 S K V AY0 R +WICOMICO W AY2 K AA1 M IH0 K OW2 +WICOR W AY1 K AO2 R +WIDDER W IH1 D ER0 +WIDDLE W IH1 D AH0 L +WIDDLED W IH1 D AH0 L D +WIDDLY W IH1 D L IY0 +WIDDOWS W IH1 D OW2 Z +WIDDOWSON W IH1 D AW0 S AH0 N +WIDE W AY1 D +WIDE'S W AY1 D Z +WIDEBODY W AY1 D B AA2 D IY0 +WIDELL W IH1 D AH0 L +WIDELY W AY1 D L IY0 +WIDEMAN W AY1 D M AH0 N +WIDEN W AY1 D AH0 N +WIDENED W AY1 D AH0 N D +WIDENER W IH1 D IY0 N ER0 +WIDENING W AY1 D AH0 N IH0 NG +WIDENS W AY1 D AH0 N Z +WIDER W AY1 D ER0 +WIDESPREAD W AY1 D S P R EH1 D +WIDEST W AY1 D AH0 S T +WIDGER W IH1 JH ER0 +WIDGET W IH1 JH IH0 T +WIDGETS W IH1 JH IH0 T S +WIDHALM W IH1 D HH AA0 M +WIDICK W IH1 D IH0 K +WIDING W AY1 D IH0 NG +WIDMAIER W IH1 D M AY0 ER0 +WIDMAN W IH1 D M AH0 N +WIDMANN W IH1 D M AH0 N +WIDMAR W IH1 D M ER0 +WIDMAYER W IH1 D M EY2 ER0 +WIDMER W IH1 D M ER0 +WIDNALL W IH1 D N AH0 L +WIDNER W IH1 D N ER0 +WIDOW W IH1 D OW0 +WIDOW'S W IH1 D OW0 Z +WIDOWED W IH1 D OW0 D +WIDOWER W IH1 D OW0 ER0 +WIDOWERS W IH1 D OW0 ER0 Z +WIDOWS W IH1 D OW0 Z +WIDRICK W IH1 D R IH0 K +WIDRIG W IH1 D R IH0 G +WIDTH W IH1 D TH +WIDTHS W 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+ZIELINSKI Z IY0 L IH1 N S K IY0 +ZIELKE Z IY1 L K +ZIEMAN Z IY1 M AH0 N +ZIEMANN Z IY1 M AH0 N +ZIEMBA Z IY1 M B AH0 +ZIEMER Z IY1 M ER0 +ZIEMIAN Z IY1 M IY0 AH0 N +ZIEMKE Z IY1 M K +ZIENTEK Z IY1 N T IH0 K +ZIER Z IH1 R +ZIERKE Z IY1 R K +ZIESEMER Z IY1 S IY0 M ER0 +ZIESKE Z IY1 S K +ZIESKE(2) Z IY1 S K IY0 +ZIESMER Z IY1 S AH0 M ER0 +ZIETLOW Z IY1 T L OW0 +ZIETZ Z IY1 T S +ZIFF Z IH1 F +ZIFF'S Z IH1 F S +ZIFFERERO Z IH2 F ER0 EH1 R OW0 +ZIG Z IH1 G +ZIG-ZAG Z IH1 G Z AE2 G +ZIG-ZAGGED Z IH1 G Z AE2 G D +ZIGGURAT Z IH1 G ER0 AE2 T +ZIGGURATS Z IH1 G ER0 AE2 T S +ZIGLAR Z IH1 G L ER0 +ZIGLER Z AY1 G AH0 L ER0 +ZIGLER(2) Z AY1 G L ER0 +ZIGMAN Z IH1 G M AH0 N +ZIGZAG Z IH1 G Z AE0 G +ZIGZAGGED Z IH1 G Z AE0 G D +ZIGZAGGING Z IH1 G Z AE0 G IH0 NG +ZIGZAGS Z IH1 G Z AE0 G Z +ZIKA Z IH1 K AH0 +ZIKE Z AY1 K +ZIL Z IH1 L +ZILBER Z IH1 L B ER0 +ZILCH Z IH1 L CH +ZILE Z AY1 L +ZILKA Z IH1 L K AH0 +ZILKHA Z IH1 L K AH0 +ZILL Z IH1 L +ZILLA Z IH1 L AH0 +ZILLAH Z IH1 L AH0 +ZILLER Z IH1 L ER0 +ZILLION Z IH1 L Y AH0 N +ZILLIONAIRE Z IH1 L Y AH0 N EH2 R +ZILLIONS Z IH1 L Y AH0 N Z +ZILLMER Z IH1 L M ER0 +ZILMER Z IH1 L M ER0 +ZILVIA Z IH1 L V IY0 AH0 +ZIM Z IH1 M +ZIMA Z IY1 M AH0 +ZIMBABWE Z IH0 M B AA1 B W EY0 +ZIMBABWE'S Z IH0 M B AA1 B W EY0 Z +ZIMBABWEAN Z IH0 M B AA1 B W IY0 AH0 N +ZIMBALIST Z IH1 M B AH0 L IH0 S T +ZIMBELMAN Z IH1 M B AH0 L M AH0 N +ZIMDARS Z IH1 M D ER0 Z +ZIMERMAN Z AY1 M ER0 M AH0 N +ZIMMER Z IH1 M ER0 +ZIMMERER Z IH1 M ER0 ER0 +ZIMMERLE Z IH1 M ER0 AH0 L +ZIMMERLY Z IH1 M ER0 L IY0 +ZIMMERMAN Z IH1 M ER0 M AH0 N +ZIMMERMANN Z IH1 M ER0 M AH0 N +ZIMMERS Z IH1 M ER0 Z +ZIMNY Z IH1 M N IY0 +ZIMPFER Z IH1 M P F ER0 +ZINC Z IH1 NG K +ZINCK Z IH1 NG K +ZINDA Z IH1 N D AH0 +ZINDER Z IH1 N D ER0 +ZINE Z AY1 N +ZINES Z AY1 N Z +ZINFANDEL Z IH1 N F AH0 N D EH2 L +ZING Z IH1 NG +ZINGA Z IH1 NG AH0 +ZINGALE Z IH0 NG G AA1 L IY0 +ZINGARO Z IH0 NG G AA1 R OW0 +ZINGER Z IH1 NG ER0 +ZINGG Z IH1 NG G +ZINGLER Z IH1 NG G AH0 L ER0 +ZINGLER(2) Z IH1 NG G L ER0 +ZINIA Z IY1 N IY0 AH0 +ZINK Z IH1 NG K +ZINKE Z IH1 NG K +ZINMAN Z IH1 N M AH0 N +ZINN Z IH1 N +ZINNER Z IH1 N ER0 +ZINNI Z IH1 N IY0 +ZINNIA Z IH1 N IY0 AH0 +ZINNIAS Z IH1 N IY0 AH0 Z +ZINNO Z IH1 N OW0 +ZINS Z IH1 N Z +ZINSER Z IH1 N S ER0 +ZINSMEISTER Z IH1 N S M AY0 S T ER0 +ZINTER Z IH1 N T ER0 +ZIOBRO Z IY0 OW1 B R OW0 +ZIOLKOWSKI Z IY0 OW0 L K AO1 F S K IY0 +ZIOMEK Z IY0 OW1 M EH0 K +ZION Z AY1 AH0 N +ZIONISM Z AY1 AH0 N IH2 Z AH0 M +ZIONIST Z AY1 AH0 N IH0 S T +ZIONISTS Z AY1 AH0 N IH0 S T S +ZIONS Z AY1 AH0 N Z +ZIP Z IH1 P +ZIPCAR Z IH1 P K AA2 R +ZIPCAR'S Z IH1 P K AA2 R Z +ZIPCARS Z IH1 P K AA2 R Z +ZIPF Z IH1 P F +ZIPFEL Z IH1 P F AH0 L +ZIPKIN Z IH1 P K IH0 N +ZIPLESS Z IH1 P L AH0 S +ZIPP Z IH1 P +ZIPPED Z IH1 P T +ZIPPER Z IH1 P ER0 +ZIPPERED Z IH1 P ER0 D +ZIPPERER Z IH1 P ER0 ER0 +ZIPPERING Z IH1 P ER0 IH0 NG +ZIPPERS Z IH1 P ER0 Z +ZIPPING Z IH1 P IH0 NG +ZIPPO Z IH1 P OW0 +ZIPPORA Z IY0 P AO1 R AH0 +ZIPPY Z IH1 P IY0 +ZIPS Z IH1 P S +ZIRBEL Z ER1 B AH0 L +ZIRBES Z ER1 B Z +ZIRCON Z ER1 K AH0 N +ZIRCONIUM Z ER0 K OW1 N IY0 AH0 M +ZIRCONIUMS Z ER0 K OW1 N IY0 AH0 M Z +ZIRCONS Z ER1 K AA0 N Z +ZIRELLA Z AH0 R EH1 L AH0 +ZIRK Z ER1 K +ZIRKEL Z ER1 K AH0 L +ZIRKELBACH Z ER1 K IH0 L B AA0 K +ZIRKLE Z ER1 K AH0 L +ZISA Z AY1 S AH0 +ZISES Z AY1 Z IH0 Z +ZISK Z IH1 S K +ZISKA Z IH1 S K AH0 +ZISSON Z IH1 S AH0 N +ZITA Z IY1 T AH0 +ZITEK Z IH1 T IH0 K +ZITHER Z IH1 DH ER0 +ZITHERS Z IH1 DH ER0 Z +ZITO Z IY1 T OW0 +ZITO'S Z IY1 T OW0 Z +ZITTEL Z IH1 T AH0 L +ZIV Z IH1 V +ZIWEI Z IY1 W EY0 +ZIYAD Z IY1 AE0 D +ZIYANG ZH IY0 AE1 NG +ZIYANG(2) ZH IY0 AA1 NG +ZIZZO Z IH1 Z OW0 +ZLATA Z L AA1 T AH2 +ZLATA(2) Z L AA1 T AH0 +ZLATA'S Z L AA1 T AH2 Z +ZLATA'S(2) Z L AA1 T AH0 Z +ZLIN Z L IH1 N +ZLOBIN Z L AO1 B IH0 N +ZLOGAR Z L OW1 G ER0 +ZLOMSOWITCH Z L AA1 M S OW0 IH0 CH +ZLOTNICK Z L AA1 T N IH0 K +ZLOTY Z L AO1 T IY0 +ZLOTYS Z L AO1 T IY0 Z +ZMIJEWSKI Z M IY0 UW1 S K IY0 +ZOBEL Z OW1 B AH0 L +ZOBRIST Z AA1 B R IH0 S T +ZOCH Z AA1 K +ZOCOR Z OW1 K ER0 +ZOCOR(2) Z OW1 K AO2 R +ZODIAC Z OW1 D IY0 AE2 K +ZODY Z OW1 D IY0 +ZOE Z OW1 IY0 +ZOELLER Z OW1 L ER0 +ZOELLICK Z OW1 L IH0 K +ZOELLNER Z OW1 L N ER0 +ZOETE Z OW1 T IY0 +ZOFAGART Z OW1 F AH0 G AA0 R T +ZOFRAN Z OW1 F R AE2 N +ZOGBY Z AO1 G B IY0 +ZOGG Z AA1 G +ZOGHBY Z OW1 B IY0 +ZOH Z OW1 +ZOHN Z OW1 N +ZOLA Z OW1 L AH0 +ZOLL Z AA1 L +ZOLLARS Z AA1 L ER0 Z +ZOLLER Z AA1 L ER0 +ZOLLINGER Z AA1 L IH0 NG ER0 +ZOLLMAN Z AA1 L M AH0 N +ZOLLNER Z AA1 L N ER0 +ZOLLO Z AA1 L OW0 +ZOLMAN Z AA1 L M AH0 N +ZOLOFT Z AA1 L AA0 F T +ZOLOFT(2) Z OW1 L AA0 F T +ZOLP Z OW1 L P +ZOLTAN Z OW1 L T AH0 N +ZOMBIE Z AA1 M B IY0 +ZOMBIES Z AA1 M B IY0 Z +ZON Z AO1 N +ZONA Z OW1 N AH0 +ZONDERVAN Z AA1 N D ER0 V AE0 N +ZONE Z OW1 N +ZONED Z OW1 N D +ZONES Z OW1 N Z +ZONGOL Z AO1 NG G AO0 L +ZONING Z OW1 N IH0 NG +ZOO Z UW1 +ZOO'S Z UW1 Z +ZOOK Z UH1 K +ZOOLOGICAL Z UW2 L AA1 JH IH0 K AH0 L +ZOOLOGIST Z OW0 AA1 L AH0 JH AH0 S T +ZOOLOGISTS Z OW0 AA1 L AH0 JH AH0 S T S +ZOOLOGY Z OW0 AA1 L AH0 JH IY0 +ZOOM Z UW1 M +ZOOMED Z UW1 M D +ZOOMING Z UW1 M IH0 NG +ZOOMS Z UW1 M Z +ZOOS Z UW1 Z +ZOOT-SUIT Z UW1 T S UW1 T +ZOPFI Z OW1 P F IY0 +ZORA Z AO1 R AH0 +ZORAH Z AO1 R AH0 +ZORAN Z AO1 R AH0 N +ZORANA Z AO0 R AE1 N AH0 +ZORICH Z AO1 R IH0 K +ZORINA Z AO0 R IY1 N AH0 +ZORINE Z AO0 R IY1 N IY0 +ZORINSKY Z AO0 R IH1 N S K IY0 +ZORKIN Z AO1 R K IH0 N +ZORN Z AO1 R N +ZORNES Z AO1 R N Z +ZORNOW Z AO1 R N AW0 +ZORRO Z AO1 R OW2 +ZORTMAN Z AO1 R T M AH0 N +ZORZ Z AO1 R Z +ZORZI Z AO1 R Z IY0 +ZOSEN Z OW1 Z AH0 N +ZOSS Z AO1 S +ZOSTER Z AA1 S T ER0 +ZOTOS Z OW1 T OW0 Z +ZOTTER Z AA1 T ER0 +ZOUABRI Z UW2 W AA1 B R IY2 +ZOUCHA Z UW1 HH AH0 +ZOUNDS Z AW1 N D Z +ZOVIRAX Z OW1 V IH0 R AE0 K S +ZOVUT Z OW1 V AH0 T +ZSA ZH AA1 +ZSA-ZSA ZH AA1 ZH AA2 +ZSAZSA ZH AA1 ZH AA2 +ZSCHAU ZH AW1 +ZUBA Z UW1 B AH0 +ZUBE Z UW1 B +ZUBER Z UW1 B ER0 +ZUBIA Z UW1 B IY0 AH0 +ZUBILLAGA Z UW2 B IH0 L AA1 G AH0 +ZUBIN Z UW1 B IH0 N +ZUBOFF Z UW1 B AO0 F +ZUBROD Z AH1 B R AH0 D +ZUCCARELLI Z UW0 K ER0 EH1 L IY0 +ZUCCARO Z UW0 K AA1 R OW0 +ZUCCHINI Z UW0 K IY1 N IY0 +ZUCCHINIS Z UW0 K IY1 N IY0 Z +ZUCCO Z UW1 K OW0 +ZUCH Z AH1 CH +ZUCHOWSKI Z AH0 HH AO1 F S K IY0 +ZUCHOWSKI(2) Z UW0 K AO1 F S K IY0 +ZUCK Z AH1 K +ZUCKER Z AH1 K ER0 +ZUCKER(2) Z UW1 K ER0 +ZUCKER'S Z AH1 K ER0 Z +ZUCKER'S(2) Z UW1 K ER0 Z +ZUCKERBERG Z AH1 K ER0 B ER2 G +ZUCKERBERG'S Z AH1 K ER0 B ER2 G Z +ZUCKERMAN Z AH1 K ER0 M AH0 N +ZUCKERMAN(2) Z UW1 K ER0 M AH0 N +ZUCKERMAN'S Z AH1 K ER0 M AH0 N Z +ZUCKERMAN'S(2) Z UW1 K ER0 M AH0 N Z +ZUE Z UW1 +ZUE'S Z UW1 Z +ZUEGE Z UW1 JH +ZUEHLKE Z UH1 L K +ZUELKE Z UW1 L K +ZUERCHER Z UH1 R K ER0 +ZUFALL Z UW1 F AH0 L +ZUFELT Z AH1 F IH0 L T +ZUG Z AH1 G +ZUG'S Z AH1 G Z +ZUGANOV Z UW1 G AH0 N AO2 V +ZUGANOV(2) Z UW1 G AH0 N AO2 F +ZUGANOV'S Z UW1 G AH0 N AO2 V S +ZUGANOV'S(2) Z UW1 G AH0 N AO2 F S +ZUHLKE Z UW1 L K +ZUIDEMA Z UW0 IH0 D EH1 M AH0 +ZUK Z AH1 K +ZUKAS Z UW1 K AH0 Z +ZUKER Z UW1 K ER0 +ZUKERMAN Z UW1 K ER0 M AH0 N +ZUKIN Z UW1 K IH0 N +ZUKOWSKI Z AH0 K AO1 F S K IY0 +ZULAUF Z UW1 L AW0 F +ZULEGER Z UW1 L IH0 G ER0 +ZULFIKAR Z AH2 L F IH0 K AA1 R +ZULLI Z UW1 L IY0 +ZULLO Z UW1 L OW0 +ZULMA Z UH1 L M AH0 +ZULU Z UW1 L UW2 +ZULUAGA Z UW2 L UW0 AA1 G AH0 +ZULUS Z UW1 L UW0 Z +ZUMBRO Z AH1 M B R OW0 +ZUMBRUN Z AH1 M B R AH0 N +ZUMEL Z UW2 M EH1 L +ZUMMO Z UW1 M OW0 +ZUMPANO Z UW0 M P AA1 N OW0 +ZUMSTEIN Z AH1 M S T IY2 N +ZUMSTEIN(2) Z AH1 M S T AY2 N +ZUMWALT Z AH1 M W AH0 L T +ZUNDEL Z AH1 N D AH0 L +ZUNGU Z AH2 NG UW1 +ZUNI Z UW1 N IY2 +ZUNIGA Z UW0 N IY1 G AH0 +ZUNINO Z UW0 N IY1 N OW0 +ZUNKER Z AH1 NG K ER0 +ZUPAN Z UW1 P AH0 N +ZUPANCIC Z AH0 P AE1 NG K IH0 K +ZUPANJA Z AH0 P AE1 N JH AH0 +ZUPKO Z AH1 P K OW0 +ZURAWSKI Z ER0 AA1 F S K IY0 +ZURCHER Z ER1 K ER0 +ZUREK Z UH1 R EH0 K +ZURFLUH Z ER1 F L UW0 +ZURI Z UH1 R IY0 +ZURICH Z UH1 R IH0 K +ZURICH'S Z UH1 R IH0 K S +ZURITA Z ER0 AY1 T AH0 +ZURKUHLEN Z ER0 K Y UW1 L AH0 N +ZURN Z ER1 N +ZUROWSKI Z UW2 R OW1 S K IY2 +ZURVE Z ER1 V +ZUVER Z UW1 V ER0 +ZUZANA Z UW2 Z AA1 N AH0 +ZUZU Z UW1 Z UW2 +ZVORNIK Z V AO1 R N IH0 K +ZWACK Z W AO1 K +ZWAHLEN Z W AA1 L AH0 N +ZWART Z W AO1 R T +ZWEBER Z W IY1 B ER0 +ZWEIBEL Z W AY1 B AH0 L +ZWEIFEL Z W AY1 F AH0 L +ZWEIG Z W AY1 G +ZWERDLING Z W ER1 D L IH0 NG +ZWERDLING'S Z W ER1 D L IH0 NG Z +ZWETCHKENBAUM Z W EH1 CH K AH0 N B AA0 M +ZWICK Z W IH1 K +ZWICKER Z W IH1 K ER0 +ZWICKY Z W IH1 K IY0 +ZWIEBEL Z W IY1 B AH0 L +ZWIEFELHOFER Z W IY1 F AH0 L HH AA2 F ER0 +ZWIEG Z W IY1 G +ZWILLING Z W IH1 L IH0 NG +ZWOLINSKI Z V AH0 L IH1 N S K IY0 +ZYCAD Z IH1 K AE2 D +ZYCH Z AY1 CH +ZYCHER Z IH1 K ER0 +ZYDECO Z AY1 D AH0 K OW2 +ZYGMUNT Z IH1 G M AH0 N T +ZYGOTE Z AY1 G OW0 T +ZYLA Z IH1 L AH0 +ZYLKA Z IH1 L K AH0 +ZYLSTRA Z IH1 L S T R AH0 +ZYMAN Z AY1 M AH0 N +ZYNDA Z IH1 N D AH0 +ZYSK Z AY1 S K +ZYSKOWSKI Z IH0 S K AO1 F S K IY0 +ZYUGANOV Z Y UW1 G AA0 N AA0 V +ZYUGANOV(2) Z UW1 G AA0 N AA0 V +ZYUGANOV'S Z Y UW1 G AA0 N AA0 V Z +ZYUGANOV'S(2) Z UW1 G AA0 N AA0 V Z +ZYWICKI Z IH0 W IH1 K IY0 diff --git a/GPT_SoVITS/text/cmudict.rep b/GPT_SoVITS/text/cmudict.rep new file mode 100644 index 0000000000000000000000000000000000000000..eb2199d15167088b38044939acd779dcf8e334c1 --- /dev/null +++ b/GPT_SoVITS/text/cmudict.rep @@ -0,0 +1,129530 @@ +## Date: August 8, 1998 +## +## The Carnegie Mellon Pronouncing Dictionary [cmudict.0.6] is Copyright 1998 +## by Carnegie Mellon University. Use of this dictionary, for any research or +## commercial purpose, is completely unrestricted. If you make use of or +## redistribute this material, we would appreciate acknowlegement of its +## origin. +## +## cmudict.0.6 is the fifth release of cmudict, first released as cmudict.0.1 +## in September of 1993. There was no generally available public release +## of version 0.5. +## +## See the README in this directory before you use this dictionary. +## +## Thanks to Bill Huggins at BBN; Bill Fisher at NIST; Alex Hauptman, +## Alex Rudnicky, Jack Mostow, Roni Rosenfeld, Richard Stern, +## Matthew Siegler, Kevin Lenzo, Maxine Eskenazi, Mosur Ravishankar, +## Eric Thayer, Kristie Seymore, and Raj Reddy at CMU; Lin Chase at +## LIMSI; Doug Paul at MIT Lincoln Labs; Ben Serridge at MIT SLS; Murray +## Spiegel at Bellcore; Tony Robinson at Cambridge UK; David Bowness of +## CAE Electronics Ltd. and CRIM; Stephen Hocking; Jerry Quinn at BNR +## Canada, and Marshal Midden for bringing to our attention problems and +## inadequacies with the first releases. Most special thanks to Bob Weide +## for all his work on prior versions of the dictionary. +## +## We welcome input from users and will continue to acknowledge such input +## in subsequent releases. If I failed to acknowledge your input in this +## release, please remind me and I will update these comments. If I failed to +## fix things that you brought to my attention, please remind me and have +## patience. If I actually fixed things that you brought to my attention and +## you appreciate it, I wouldn't mind a pat on the back. +## +## This version differs from previous releases of cmudict most significantly +## in the addition of new words from the common ARPA tasks for 1996 and 1997. +## +## There are undoubtedly still errors and inconsistencies in this dictionary +## so keep your eyes open for problems and mail them to me. +## +## We hope this dictionary is an improvement over cmudict.0.4. +## +## email: cmudict@cs.cmu.edu +## web: http://www.speech.cs.cmu.edu/cgi-bin/cmudict +## ftp: ftp://ftp.cs.cmu.edu/project/speech/dict/ +## +## Thank you for your continued interest in the CMU Pronouncing +## Dictionary. Further addictions and improvements are planned +## for forthcoming releases. +## +!EXCLAMATION-POINT EH2 K - S K L AH0 - M EY1 - SH AH0 N - P OY2 N T +"CLOSE-QUOTE K L OW1 Z - K W OW1 T +"DOUBLE-QUOTE D AH1 - B AH0 L - K W OW1 T +"END-OF-QUOTE EH1 N - D AH0 V - K W OW1 T +"END-QUOTE EH1 N D - K W OW1 T +"IN-QUOTES IH1 N - K W OW1 T S +"QUOTE K W OW1 T +"UNQUOTE AH1 N - K W OW1 T +#SHARP-SIGN SH AA1 R P - S AY1 N +%PERCENT P ER0 - S EH1 N T +&ERSAND AE1 M - P ER0 - S AE2 N D +'CAUSE K AH0 Z +'COURSE K AO1 R S +'EM AH0 M +'END-INNER-QUOTE EH1 N - D IH1 - N ER0 - K W OW1 T +'END-QUOTE EH1 N D - K W OW1 T +'INNER-QUOTE IH1 - N ER0 - K W OW1 T +'M AH0 M +'N AH0 N +'QUOTE K W OW1 T +'S EH1 S +'SINGLE-QUOTE S IH1 NG - G AH0 L - K W OW1 T +'TIL T IH1 L +'TIS T IH1 Z +'TWAS T W AH1 Z +(BEGIN-PARENS B IH0 - G IH1 N - P ER0 - EH1 N Z +(IN-PARENTHESES IH1 N - P ER0 - EH1 N - TH AH0 - S IY2 Z +(LEFT-PAREN L EH1 F T - P ER0 - EH1 N +(OPEN-PARENTHESES OW1 - P AH0 N - P ER0 - EH1 N - TH AH0 - S IY2 Z +(PAREN P ER0 - EH1 N +(PARENS P ER0 - EH1 N Z +(PARENTHESES P ER0 - EH1 N - TH AH0 - S IY2 Z +)CLOSE-PAREN K L OW1 Z - P ER0 - EH1 N +)CLOSE-PARENTHESES K L OW1 Z - P ER0 - EH1 N - TH AH0 - S IY2 Z +)END-PAREN EH1 N D - P ER0 - EH1 N +)END-PARENS EH1 N D - P ER0 - EH1 N Z +)END-PARENTHESES EH1 N D - P ER0 - EH1 N - TH AH0 - S IY2 Z +)END-THE-PAREN EH1 N D - DH AH0 - P ER0 - EH1 N +)PAREN P ER0 - EH1 N +)PARENS P ER0 - EH1 N Z +)RIGHT-PAREN R AY1 T - P ER0 - EH1 N +)RIGHT-PAREN(2) R AY1 T - P EH1 - R AH0 N +)UN-PARENTHESES AH1 N - P ER0 - EH1 N - TH AH0 - S IY1 Z +,COMMA K AA1 - M AH0 +-DASH D AE1 SH +-HYPHEN HH AY1 - F AH0 N +...ELLIPSIS IH0 - L IH1 P - S IH0 S +.DECIMAL D EH1 - S AH0 - M AH0 L +.DOT D AA1 T +.FULL-STOP F UH1 L - S T AA1 P +.PERIOD P IH1 - R IY0 - AH0 D +.POINT P OY1 N T +/SLASH S L AE1 SH +0MALEFACTORS M AE1 - L AH0 - F AE2 K - T ER0 Z +:COLON K OW1 - L AH0 N +;SEMI-COLON S EH1 - M IY0 - K OW1 - L AH0 N +;SEMI-COLON(2) S EH1 - M IH0 - K OW2 - L AH0 N +?QUESTION-MARK K W EH1 S - CH AH0 N - M AA1 R K +A AH0 +A'S EY1 Z +A(2) EY1 +A. EY1 +A.'S EY1 Z +A.S EY1 Z +A42128 EY1 - F AO1 R - T UW1 - W AH1 N - T UW1 - EY1 T +AAA T R IH2 - P AH0 - L EY1 +AABERG AA1 - B ER0 G +AACHEN AA1 - K AH0 N +AAKER AA1 - K ER0 +AALSETH AA1 L - S EH0 TH +AAMODT AA1 - M AH0 T +AANCOR AA1 N - K AO2 R +AARDEMA AA0 R - D EH1 - M AH0 +AARDVARK AA1 R D - V AA2 R K +AARON EH1 - R AH0 N +AARON'S EH1 - R AH0 N Z +AARONS EH1 - R AH0 N Z +AARONSON EH1 - R AH0 N - S AH0 N +AARONSON'S EH1 - R AH0 N - S AH0 N Z +AARONSON'S(2) AA1 - R AH0 N - S AH0 N Z +AARONSON(2) AA1 - R AH0 N - S AH0 N +AARTI AA1 R - T IY2 +AASE AA1 S +AASEN AA1 - S AH0 N +AB AE1 B +AB(2) EY1 - B IY1 +ABABA AH0 - B AA1 - B AH0 +ABABA(2) AA1 - B AH0 - B AH0 +ABACHA AE1 - B AH0 - K AH0 +ABACK AH0 - B AE1 K +ABACO AE1 - B AH0 - K OW2 +ABACUS AE1 - B AH0 - K AH0 S +ABAD AH0 - B AA1 D +ABADAKA AH0 - B AE1 - D AH0 - K AH0 +ABADI AH0 - B AE1 - D IY0 +ABADIE AH0 - B AE1 - D IY0 +ABAIR AH0 - B EH1 R +ABALKIN AH0 - B AA1 L - K IH0 N +ABALONE AE2 - B AH0 - L OW1 - N IY0 +ABALOS AA0 - B AA1 - L OW0 Z +ABANDON AH0 - B AE1 N - D AH0 N +ABANDONED AH0 - B AE1 N - D AH0 N D +ABANDONING AH0 - B AE1 N - D AH0 - N IH0 NG +ABANDONMENT AH0 - B AE1 N - D AH0 N - M AH0 N T +ABANDONMENTS AH0 - B AE1 N - D AH0 N - M AH0 N T S +ABANDONS AH0 - B AE1 N - D AH0 N Z +ABANTO AH0 - B AE1 N - T OW0 +ABARCA AH0 - B AA1 R - K AH0 +ABARE AA0 - B AA1 - R IY0 +ABASCAL AE1 - B AH0 S - K AH0 L +ABASH AH0 - B AE1 SH +ABASHED AH0 - B AE1 SH T +ABATE AH0 - B EY1 T +ABATED AH0 - B EY1 - T IH0 D +ABATEMENT AH0 - B EY1 T - M AH0 N T +ABATEMENTS AH0 - B EY1 T - M AH0 N T S +ABATES AH0 - B EY1 T S +ABATING AH0 - B EY1 - T IH0 NG +ABBA AE1 - B AH0 +ABBADO AH0 - B AA1 - D OW0 +ABBAS AH0 - B AA1 S +ABBASI AA0 - B AA1 - S IY0 +ABBATE AA1 - B EY0 T +ABBATIELLO AA0 - B AA0 - T IY0 - EH1 - L OW0 +ABBE AE1 - B IY0 +ABBE(2) AE0 - B EY1 +ABBENHAUS AE1 - B AH0 N - HH AW2 S +ABBETT AH0 - B EH1 T +ABBEVILLE AE1 B - V IH0 L +ABBEY AE1 - B IY0 +ABBEY'S AE1 - B IY0 Z +ABBIE AE1 - B IY0 +ABBITT AE1 - B IH0 T +ABBOT AE1 - B AH0 T +ABBOTT AE1 - B AH0 T +ABBOTT'S AE1 - B AH0 T S +ABBOUD AH0 - B UW1 D +ABBOUD(2) AH0 - B AW1 D +ABBREVIATE AH0 - B R IY1 - V IY0 - EY2 T +ABBREVIATED AH0 - B R IY1 - V IY0 - EY2 - T AH0 D +ABBREVIATED(2) AH0 - B R IY1 - V IY0 - EY2 - T IH0 D +ABBREVIATES AH0 - B R IY1 - V IY0 - EY2 T S +ABBREVIATING AH0 - B R IY1 - V IY0 - EY2 - T IH0 NG +ABBREVIATION AH0 - B R IY2 - V IY0 - EY1 - SH AH0 N +ABBREVIATIONS AH0 - B R IY2 - V IY0 - EY1 - SH AH0 N Z +ABBRUZZESE AA0 - B R UW0 T - S EY1 - Z IY0 +ABBS AE1 B Z +ABBY AE1 - B IY0 +ABCO AE1 B - K OW0 +ABCOTEK AE1 B - K OW0 - T EH2 K +ABDALLA AE2 B - D AE1 - L AH0 +ABDALLAH AE2 B - D AE1 - L AH0 +ABDEL AE1 B - D EH2 L +ABDELLA AE2 B - D EH1 - L AH0 +ABDICATE AE1 B - D AH0 - K EY2 T +ABDICATED AE1 B - D AH0 - K EY2 - T AH0 D +ABDICATES AE1 B - D AH0 - K EY2 T S +ABDICATING AE1 B - D IH0 - K EY2 - T IH0 NG +ABDICATION AE2 B - D IH0 - K EY1 - SH AH0 N +ABDNOR AE1 B D - N ER0 +ABDO AE1 B - D OW0 +ABDOLLAH AE2 B - D AA1 - L AH0 +ABDOMEN AE0 B - D OW1 - M AH0 N +ABDOMEN(2) AE1 B - D AH0 - M AH0 N +ABDOMINAL AE0 B - D AA1 - M AH0 - N AH0 L +ABDOMINAL(2) AH0 B - D AA1 - M AH0 - N AH0 L +ABDUCT AE0 B - D AH1 K T +ABDUCTED AE0 B - D AH1 K - T IH0 D +ABDUCTED(2) AH0 B - D AH1 K - T IH0 D +ABDUCTEE AE0 B - D AH2 K - T IY1 +ABDUCTEES AE0 B - D AH2 K - T IY1 Z +ABDUCTING AE0 B - D AH1 K - T IH0 NG +ABDUCTING(2) AH0 B - D AH1 K - T IH0 NG +ABDUCTION AE0 B - D AH1 K - SH AH0 N +ABDUCTION(2) AH0 B - D AH1 K - SH AH0 N +ABDUCTIONS AE0 B - D AH1 K - SH AH0 N Z +ABDUCTIONS(2) AH0 B - D AH1 K - SH AH0 N Z +ABDUCTOR AE0 B - D AH1 K - T ER0 +ABDUCTOR(2) AH0 B - D AH1 K - T ER0 +ABDUCTORS AE0 B - D AH1 K - T ER0 Z +ABDUCTORS(2) AH0 B - D AH1 K - T ER0 Z +ABDUCTS AE0 B - D AH1 K T S +ABDUL AE0 B - D UW1 L +ABDULAZIZ AE0 B - D UW2 - L AH0 - Z IY1 Z +ABDULLA AA0 B - D UW1 - L AH0 +ABDULLAH AE2 B - D AH1 - L AH0 +ABE EY1 B +ABED AH0 - B EH1 D +ABEDI AH0 - B EH1 - D IY0 +ABEE AH0 - B IY1 +ABEL EY1 - B AH0 L +ABELA AA0 - B EH1 - L AH0 +ABELARD AE1 - B IH0 - L ER0 D +ABELE AH0 - B IY1 L +ABELES AH0 - B IY1 L Z +ABELES(2) EY1 - B AH0 - L IY2 Z +ABELL EY1 - B AH0 L +ABELLA AH0 - B EH1 - L AH0 +ABELN AE1 - B IH0 L N +ABELOW AE1 - B AH0 - L OW0 +ABELS EY1 - B AH0 L Z +ABELSON AE1 - B IH0 L - S AH0 N +ABEND AE1 - B EH0 N D +ABEND(2) AH0 - B EH1 N D +ABENDROTH AE1 - B IH0 N - D R AO0 TH +ABER EY1 - B ER0 +ABERCROMBIE AE2 - B ER0 - K R AA1 M - B IY0 +ABERDEEN AE1 - B ER0 - D IY2 N +ABERFORD EY1 - B ER0 - F ER0 D +ABERG AE1 - B ER0 G +ABERLE AE1 - B ER0 - AH0 L +ABERLE(2) AE1 - B ER0 L +ABERMIN AE1 - B ER0 - M IH0 N +ABERNATHY AE1 - B ER0 - N AE2 - TH IY0 +ABERNETHY AE1 - B ER0 - N EH2 - TH IY0 +ABERRANT AE0 - B EH1 - R AH0 N T +ABERRATION AE2 - B ER0 - EY1 - SH AH0 N +ABERRATIONAL AE2 - B ER0 - EY1 - SH AH0 - N AH0 L +ABERRATIONS AE2 - B ER0 - EY1 - SH AH0 N Z +ABERT AE1 - B ER0 T +ABET AH0 - B EH1 T +ABETTED AH0 - B EH1 - T IH0 D +ABETTING AH0 - B EH1 - T IH0 NG +ABEX EY1 - B EH0 K S +ABEYANCE AH0 - B EY1 - AH0 N S +ABEYTA AA0 - B EY1 - T AH0 +ABHOR AE0 B - HH AO1 R +ABHORRED AH0 B - HH AO1 R D +ABHORRENCE AH0 B - HH AO1 - R AH0 N S +ABHORRENT AE0 B - HH AO1 - R AH0 N T +ABHORS AH0 B - HH AO1 R Z +ABID EY1 - B IH0 D +ABIDE AH0 - B AY1 D +ABIDED AH0 - B AY1 - D IH0 D +ABIDES AH0 - B AY1 D Z +ABIDING AH0 - B AY1 - D IH0 NG +ABIE AE1 - B IY0 +ABIGAIL AE1 - B AH0 - G EY2 L +ABILA AA0 - B IY1 - L AH0 +ABILENE AE1 - B IH0 - L IY2 N +ABILITIES AH0 - B IH1 - L AH0 - T IY0 Z +ABILITY AH0 - B IH1 - L AH0 - T IY0 +ABINGTON AE1 - B IH0 NG - T AH0 N +ABIO AA1 - B IY0 - OW0 +ABIOLA AA2 - B IY0 - OW1 - L AH0 +ABIOLA'S AA2 - B IY0 - OW1 - L AH0 Z +ABIOMED EY0 - B IY1 - AH0 - M EH0 D +ABITIBI AE2 - B IH0 - T IY1 - B IY0 +ABITZ AE1 - B IH0 T S +ABJECT AE1 B - JH EH0 K T +ABKHAZIA AE0 B K - HH AA1 - Z Y AH0 +ABKHAZIA(2) AE0 B K - HH AE1 - Z Y AH0 +ABKHAZIAN AE0 B K - HH AA1 - Z IY0 - AH0 N +ABKHAZIAN(2) AE0 B K - HH AE1 - Z IY0 - AH0 N +ABKHAZIAN(3) AE0 B K - HH AA1 - Z Y AH0 N +ABKHAZIAN(4) AE0 B K - HH AE1 - Z Y AH0 N +ABKHAZIANS AE0 B K - HH AA1 - Z IY0 - AH0 N Z +ABKHAZIANS(2) AE0 B K - HH AE1 - Z IY0 - AH0 N Z +ABLAZE AH0 - B L EY1 Z +ABLE EY1 - B AH0 L +ABLED EY1 - B AH0 L D +ABLER EY1 - B AH0 L - ER0 +ABLER(2) EY1 - B L ER0 +ABLES EY1 - B AH0 L Z +ABLEST EY1 - B AH0 L S T +ABLEST(2) EY1 - B L AH0 S T +ABLOOM AH0 - B L UW1 M +ABLY EY1 - B L IY0 +ABNER AE1 B - N ER0 +ABNEY AE1 B - N IY0 +ABNORMAL AE0 B - N AO1 R - M AH0 L +ABNORMALITIES AE2 B - N AO0 R - M AE1 - L AH0 - T IY0 Z +ABNORMALITY AE2 B - N AO0 R - M AE1 - L AH0 - T IY0 +ABNORMALLY AE0 B - N AO1 R - M AH0 - L IY0 +ABO AA1 - B OW0 +ABO'S AA1 - B OW0 Z +ABOARD AH0 - B AO1 R D +ABODE AH0 - B OW1 D +ABOLISH AH0 - B AA1 - L IH0 SH +ABOLISHED AH0 - B AA1 - L IH0 SH T +ABOLISHES AH0 - B AA1 - L IH0 - SH IH0 Z +ABOLISHING AH0 - B AA1 - L IH0 - SH IH0 NG +ABOLITION AE2 - B AH0 - L IH1 - SH AH0 N +ABOLITIONISM AE2 - B AH0 - L IH1 - SH AH0 - N IH2 - Z AH0 M +ABOLITIONIST AE2 - B AH0 - L IH1 - SH AH0 - N AH0 S T +ABOLITIONISTS AE2 - B AH0 - L IH1 - SH AH0 - N AH0 S T S +ABOLITIONISTS(2) AE2 - B AH0 - L IH1 - SH AH0 - N AH0 S S +ABOLITIONISTS(3) AE2 - B AH0 - L IH1 - SH AH0 - N AH0 S +ABOMINABLE AH0 - B AA1 - M AH0 - N AH0 - B AH0 L +ABOMINATION AH0 - B AA2 - M AH0 - N EY1 - SH AH0 N +ABOOD AH0 - B UW1 D +ABOODI AH0 - B UW1 - D IY0 +ABORIGINAL AE2 - B ER0 - IH1 - JH AH0 - N AH0 L +ABORIGINE AE2 - B ER0 - IH1 - JH AH0 - N IY0 +ABORIGINES AE2 - B ER0 - IH1 - JH AH0 - N IY0 Z +ABORN AH0 - B AO1 R N +ABORT AH0 - B AO1 R T +ABORTED AH0 - B AO1 R - T IH0 D +ABORTIFACIENT AH0 - B AO2 R - T AH0 - F EY1 - SH AH0 N T +ABORTIFACIENTS AH0 - B AO2 R - T AH0 - F EY1 - SH AH0 N T S +ABORTING AH0 - B AO1 R - T IH0 NG +ABORTION AH0 - B AO1 R - SH AH0 N +ABORTIONIST AH0 - B AO1 R - SH AH0 N - IH0 S T +ABORTIONISTS AH0 - B AO1 R - SH AH0 N - IH0 S T S +ABORTIONISTS(2) AH0 - B AO1 R - SH AH0 N - IH0 S S +ABORTIONISTS(3) AH0 - B AO1 R - SH AH0 N - IH0 S +ABORTIONS AH0 - B AO1 R - SH AH0 N Z +ABORTIVE AH0 - B AO1 R - T IH0 V +ABOTT AH0 - B AA1 T +ABOU AH0 - B UW1 +ABOUD AA0 - B UW1 D +ABOUHALIMA AA2 - B UW0 - HH AA0 - L IY1 - M AH0 +ABOUHALIMA'S AA2 - B UW0 - HH AA0 - L IY1 - M AH0 Z +ABOUND AH0 - B AW1 N D +ABOUNDED AH0 - B AW1 N - D IH0 D +ABOUNDING AH0 - B AW1 N - D IH0 NG +ABOUNDS AH0 - B AW1 N D Z +ABOUT AH0 - B AW1 T +ABOUT'S AH0 - B AW1 T S +ABOVE AH0 - B AH1 V +ABOVE'S AH0 - B AH1 V Z +ABOVEBOARD AH0 - B AH1 V - B AO2 R D +ABPLANALP AE1 B - P L AH0 - N AE0 L P +ABRA AA1 - B R AH0 +ABRACADABRA AE2 - B R AH0 - K AH0 - D AE1 - B R AH0 +ABRAHAM EY1 - B R AH0 - HH AE2 M +ABRAHAMIAN AE2 - B R AH0 - HH EY1 - M IY0 - AH0 N +ABRAHAMS EY1 - B R AH0 - HH AE2 M Z +ABRAHAMSEN AE0 - B R AH0 - HH AE1 M - S AH0 N +ABRAHAMSON AH0 - B R AE1 - HH AH0 M - S AH0 N +ABRAM AH0 - B R AE1 M +ABRAMCZYK AA1 - B R AH0 M - CH IH0 K +ABRAMO AA0 - B R AA1 - M OW0 +ABRAMOVITZ AH0 - B R AA1 - M AH0 - V IH0 T S +ABRAMOWICZ AH0 - B R AA1 - M AH0 - V IH0 CH +ABRAMOWITZ AH0 - B R AA1 - M AH0 - W IH0 T S +ABRAMS EY1 - B R AH0 M Z +ABRAMSON EY1 - B R AH0 M - S AH0 N +ABRASION AH0 - B R EY1 - ZH AH0 N +ABRASIONS AH0 - B R EY1 - ZH AH0 N Z +ABRASIVE AH0 - B R EY1 - S IH0 V +ABRASIVES AH0 - B R EY1 - S IH0 V Z +ABREAST AH0 - B R EH1 S T +ABREGO AA0 - B R EH1 - G OW0 +ABREU AH0 - B R UW1 +ABRIDGE AH0 - B R IH1 JH +ABRIDGED AH0 - B R IH1 JH D +ABRIL AH0 - B R IH1 L +ABROAD AH0 - B R AO1 D +ABROGATE AE1 - B R AH0 - G EY2 T +ABROGATED AE1 - B R AH0 - G EY2 - T IH0 D +ABROGATING AE1 - B R AH0 - G EY2 - T IH0 NG +ABROGATION AE2 - B R AH0 - G EY1 - SH AH0 N +ABRON AH0 - B R AA1 N +ABRUPT AH0 - B R AH1 P T +ABRUPTLY AH0 - B R AH1 P T - L IY0 +ABRUPTNESS AH0 - B R AH1 P T - N AH0 S +ABRUTYN EY1 - B R UW0 - T IH0 N +ABRUZZESE AA0 - B R UW0 T - S EY1 - Z IY0 +ABRUZZO AA0 - B R UW1 - Z OW0 +ABS EY1 - B IY1 - EH1 S +ABS(2) AE1 B Z +ABSALOM AE1 B - S AH0 - L AH0 M +ABSCAM AE1 B - S K AE0 M +ABSCESS AE1 B - S EH2 S +ABSENCE AE1 B - S AH0 N S +ABSENCES AE1 B - S AH0 N - S IH0 Z +ABSENT AE1 B - S AH0 N T +ABSENTEE AE2 B - S AH0 N - T IY1 +ABSENTEEISM AE2 B - S AH0 N - T IY1 - IH0 - Z AH0 M +ABSENTEES AE2 B - S AH0 N - T IY1 Z +ABSENTIA AE0 B - S EH1 N - SH AH0 +ABSHER AE1 B - SH ER0 +ABSHIER AE1 B - SH IY0 - ER0 +ABSHIRE AE1 B - SH AY2 R +ABSO AE1 B - S OW0 +ABSOLOM AE1 B - S AH0 - L AH0 M +ABSOLUT AE2 B - S AH0 - L UW1 T +ABSOLUTE AE1 B - S AH0 - L UW2 T +ABSOLUTELY AE2 B - S AH0 - L UW1 T - L IY0 +ABSOLUTENESS AE1 B - S AH0 - L UW2 T - N AH0 S +ABSOLUTES AE1 B - S AH0 - L UW2 T S +ABSOLUTION AE2 B - S AH0 - L UW1 - SH AH0 N +ABSOLUTISM AE1 B - S AH0 - L UW2 - T IH2 - Z AH0 M +ABSOLUTIST AE0 B - S IH0 - L UW1 - T IH0 S T +ABSOLVE AH0 B - Z AA1 L V +ABSOLVE(2) AE0 B - Z AA1 L V +ABSOLVED AH0 B - Z AA1 L V D +ABSOLVED(2) AE0 B - Z AA1 L V D +ABSOLVES AH0 B - Z AA1 L V Z +ABSOLVES(2) AE0 B - Z AA1 L V Z +ABSOLVING AH0 B - Z AA1 L - V IH0 NG +ABSOLVING(2) AE0 B - Z AA1 L - V IH0 NG +ABSORB AH0 B - Z AO1 R B +ABSORBED AH0 B - Z AO1 R B D +ABSORBENCY AH0 B - Z AO1 R - B AH0 N - S IY0 +ABSORBENT AH0 B - Z AO1 R - B AH0 N T +ABSORBER AH0 B - Z AO1 R - B ER0 +ABSORBERS AH0 B - Z AO1 R - B ER0 Z +ABSORBING AH0 B - Z AO1 R - B IH0 NG +ABSORBS AH0 B - Z AO1 R B Z +ABSORPTION AH0 B - Z AO1 R P - SH AH0 N +ABSORPTION(2) AH0 B - S AO1 R P - SH AH0 N +ABSTAIN AH0 B - S T EY1 N +ABSTAIN(2) AE0 B - S T EY1 N +ABSTAINED AH0 B - S T EY1 N D +ABSTAINED(2) AE0 B - S T EY1 N D +ABSTAINING AH0 B - S T EY1 - N IH0 NG +ABSTAINING(2) AE0 B - S T EY1 - N IH0 NG +ABSTENTION AH0 B - S T EH1 N - CH AH0 N +ABSTENTION(2) AE0 B - S T EH1 N - CH AH0 N +ABSTENTIONS AH0 B - S T EH1 N - CH AH0 N Z +ABSTENTIONS(2) AE0 B - S T EH1 N - CH AH0 N Z +ABSTINENCE AE1 B - S T AH0 - N AH0 N S +ABSTINENT AE1 B - S T AH0 - N AH0 N T +ABSTON AE1 B - S T AH0 N +ABSTRACT AE0 B - S T R AE1 K T +ABSTRACT(2) AE1 B - S T R AE2 K T +ABSTRACTED AE1 B - S T R AE2 K - T IH0 D +ABSTRACTION AE0 B - S T R AE1 K - SH AH0 N +ABSTRACTIONS AE0 B - S T R AE1 K - SH AH0 N Z +ABSTRACTS AE1 B - S T R AE0 K T S +ABSTRUSE AH0 B - S T R UW1 S +ABSURD AH0 B - S ER1 D +ABSURDIST AH0 B - S ER1 - D IH0 S T +ABSURDITIES AH0 B - S ER1 - D AH0 - T IY0 Z +ABSURDITY AH0 B - S ER1 - D AH0 - T IY0 +ABSURDLY AH0 B - S ER1 D - L IY0 +ABT AE1 B T +ABT(2) EY1 - B IY1 - T IY1 +ABTS AE1 B T S +ABTS(2) EY1 - B IY1 - T IY1 Z +ABTS(3) EY1 - B IY1 - T IY1 - EH1 S +ABU AE1 - B UW0 +ABUDRAHM AH0 - B AH1 - D R AH0 M +ABULADZE AE2 - B Y UW0 - L AE1 D - Z IY0 +ABUNDANCE AH0 - B AH1 N - D AH0 N S +ABUNDANT AH0 - B AH1 N - D AH0 N T +ABUNDANTLY AH0 - B AH1 N - D AH0 N T - L IY0 +ABURTO AH0 - B UH1 R - T OW2 +ABURTO'S AH0 - B UH1 R - T OW2 Z +ABUSE AH0 - B Y UW1 S +ABUSE(2) AH0 - B Y UW1 Z +ABUSED AH0 - B Y UW1 Z D +ABUSER AH0 - B Y UW1 - Z ER0 +ABUSERS AH0 - B Y UW1 - Z ER0 Z +ABUSES AH0 - B Y UW1 - S IH0 Z +ABUSES(2) AH0 - B Y UW1 - Z IH0 Z +ABUSING AH0 - B Y UW1 - Z IH0 NG +ABUSIVE AH0 - B Y UW1 - S IH0 V +ABUT AH0 - B AH1 T +ABUTS AH0 - B AH1 T S +ABUTTED AH0 - B AH1 - T AH0 D +ABUTTING AH0 - B AH1 - T IH0 NG +ABUZZ AH0 - B AH1 Z +ABYSMAL AH0 - B IH1 Z - M AH0 L +ABYSMALLY AH0 - B IH1 Z - M AH0 - L IY0 +ABYSS AH0 - B IH1 S +ABZUG AE1 B - Z AH2 G +ABZUG(2) AE1 B - Z UH2 G +AC EY1 - S IY1 +ACA AE1 - K AH0 +ACACIA AH0 - K EY1 - SH AH0 +ACADEME AE1 - K AH0 - D IY2 M +ACADEMIA AE2 - K AH0 - D IY1 - M IY0 - AH0 +ACADEMIC AE2 - K AH0 - D EH1 - M IH0 K +ACADEMICALLY AE2 - K AH0 - D EH1 - M IH0 K - L IY0 +ACADEMICIAN AE2 - K AH0 - D AH0 - M IH1 - SH AH0 N +ACADEMICIANS AE2 - K AH0 - D AH0 - M IH1 - SH AH0 N Z +ACADEMICIANS(2) AH0 - K AE2 - D AH0 - M IH1 - SH AH0 N Z +ACADEMICS AE2 - K AH0 - D EH1 - M IH0 K S +ACADEMIES AH0 - K AE1 - D AH0 - M IY0 Z +ACADEMY AH0 - K AE1 - D AH0 - M IY0 +ACADEMY'S AH0 - K AE1 - D AH0 - M IY0 Z +ACADIA AH0 - K EY1 - D IY0 - AH0 +ACAMPORA AH0 - K AE1 M - P ER0 - AH0 +ACANTHA AA0 - K AA1 N - DH AH0 +ACAPULCO AE2 - K AH0 - P UH1 L - K OW0 +ACCARDI AA0 - K AA1 R - D IY0 +ACCARDO AA0 - K AA1 R - D OW0 +ACCEDE AE0 K - S IY1 D +ACCEDED AE0 K - S IY1 - D IH0 D +ACCEDES AE0 K - S IY1 D Z +ACCEDING AE0 K - S IY1 - D IH0 NG +ACCEL AH0 K - S EH1 L +ACCELERANT AE0 K - S EH1 - L ER0 - AH0 N T +ACCELERANTS AE0 K - S EH1 - L ER0 - AH0 N T S +ACCELERATE AE0 K - S EH1 - L ER0 - EY2 T +ACCELERATED AE0 K - S EH1 - L ER0 - EY2 - T IH0 D +ACCELERATES AE0 K - S EH1 - L ER0 - EY2 T S +ACCELERATING AE0 K - S EH1 - L ER0 - EY2 - T IH0 NG +ACCELERATION AE2 K - S EH2 - L ER0 - EY1 - SH AH0 N +ACCELERATOR AE0 K - S EH1 - L ER0 - EY2 - T ER0 +ACCELEROMETER AE0 K - S EH2 - L ER0 - AA1 - M AH0 - T ER0 +ACCELEROMETERS AE0 K - S EH2 - L ER0 - AA1 - M AH0 - T ER0 Z +ACCENT AH0 K - S EH1 N T +ACCENT(2) AE1 K - S EH2 N T +ACCENTED AE1 K - S EH0 N - T IH0 D +ACCENTING AE1 K - S EH0 N - T IH0 NG +ACCENTS AE1 K - S EH0 N T S +ACCENTUATE AE0 K - S EH1 N - CH UW0 - EY0 T +ACCENTUATED AE0 K - S EH1 N - CH AH0 W - EY2 - T IH0 D +ACCENTUATES AE0 K - S EH1 N - CH UW0 - EY0 T S +ACCENTUATING AE0 K - S EH1 N - CH AH0 W - EY2 - T IH0 NG +ACCEPT AE0 K - S EH1 P T +ACCEPT(2) AH0 K - S EH1 P T +ACCEPTABILITY AH0 K - S EH2 P - T AH0 - B IH1 - L AH0 - T IY0 +ACCEPTABLE AE0 K - S EH1 P - T AH0 - B AH0 L +ACCEPTABLE(2) AH0 K - S EH1 P - T AH0 - B AH0 L +ACCEPTANCE AE0 K - S EH1 P - T AH0 N S +ACCEPTANCE(2) AH0 K - S EH1 P - T AH0 N S +ACCEPTANCES AE0 K - S EH1 P - T AH0 N - S IH0 Z +ACCEPTED AE0 K - S EH1 P - T IH0 D +ACCEPTED(2) AH0 K - S EH1 P - T AH0 D +ACCEPTING AE0 K - S EH1 P - T IH0 NG +ACCEPTING(2) AH0 K - S EH1 P - T IH0 NG +ACCEPTS AE0 K - S EH1 P T S +ACCESS AE1 K - S EH2 S +ACCESSED AE1 K - S EH2 S T +ACCESSIBILITY AE2 K - S EH0 - S AH0 - B IH1 - L IH0 - T IY0 +ACCESSIBLE AE0 K - S EH1 - S AH0 - B AH0 L +ACCESSING AE1 K - S EH2 - S IH0 NG +ACCESSION AH0 K - S EH1 - SH AH0 N +ACCESSORIES AE0 K - S EH1 - S ER0 - IY0 Z +ACCESSORIZE AE0 K - S EH1 - S ER0 - AY2 Z +ACCESSORIZED AE0 K - S EH1 - S ER0 - AY2 Z D +ACCESSORY AE0 K - S EH1 - S ER0 - IY0 +ACCETTA AA0 - CH EH1 - T AH0 +ACCIDENT AE1 K - S AH0 - D AH0 N T +ACCIDENT'S AE1 K - S AH0 - D AH0 N T S +ACCIDENTAL AE2 K - S AH0 - D EH1 N - T AH0 L +ACCIDENTAL(2) AE2 K - S AH0 - D EH1 - N AH0 L +ACCIDENTALLY AE2 K - S AH0 - D EH1 N - T AH0 - L IY0 +ACCIDENTALLY(2) AE2 K - S AH0 - D EH1 - N AH0 - L IY0 +ACCIDENTLY AE1 K - S AH0 - D AH0 N T - L IY0 +ACCIDENTS AE1 K - S AH0 - D AH0 N T S +ACCION AE1 - CH IY0 - AH0 N +ACCIVAL AE1 - S IH0 - V AA2 L +ACCLAIM AH0 - K L EY1 M +ACCLAIMED AH0 - K L EY1 M D +ACCLAIMING AH0 - K L EY1 - M IH0 NG +ACCLIMATE AE1 - K L AH0 - M EY2 T +ACCLIMATED AE1 - K L AH0 - M EY2 - T IH0 D +ACCLIMATION AE2 - K L AH0 - M EY1 - SH AH0 N +ACCO AE1 - K OW0 +ACCOLA AA0 - K OW1 - L AH0 +ACCOLADE AE1 - K AH0 - L EY2 D +ACCOLADES AE1 - K AH0 - L EY2 D Z +ACCOMANDO AA0 - K OW0 - M AA1 N - D OW0 +ACCOMMODATE AH0 - K AA1 - M AH0 - D EY2 T +ACCOMMODATED AH0 - K AA1 - M AH0 - D EY2 - T AH0 D +ACCOMMODATES AH0 - K AA1 - M AH0 - D EY2 T S +ACCOMMODATING AH0 - K AA1 - M AH0 - D EY2 - T IH0 NG +ACCOMMODATION AH0 - K AA2 - M AH0 - D EY1 - SH AH0 N +ACCOMMODATIONS AH0 - K AA2 - M AH0 - D EY1 - SH AH0 N Z +ACCOMMODATIVE AH0 - K AA1 - M AH0 - D EY2 - T IH0 V +ACCOMPANIED AH0 - K AH1 M - P AH0 - N IY0 D +ACCOMPANIES AH0 - K AH1 M - P AH0 - N IY0 Z +ACCOMPANIMENT AH0 - K AH1 M P - N IH0 - M AH0 N T +ACCOMPANIMENT(2) AH0 - K AH1 M P - N IY0 - M AH0 N T +ACCOMPANIMENTS AH0 - K AH1 M P - N IH0 - M AH0 N T S +ACCOMPANIMENTS(2) AH0 - K AH1 M P - N IY0 - M AH0 N T S +ACCOMPANIST AH0 - K AH1 M - P AH0 - N AH0 S T +ACCOMPANY AH0 - K AH1 M - P AH0 - N IY0 +ACCOMPANYING AH0 - K AH1 M - P AH0 - N IY0 - IH0 NG +ACCOMPLI AA2 - K AA1 M - P L IY0 +ACCOMPLI(2) AH0 - K AA1 M - P L IY0 +ACCOMPLICE AH0 - K AA1 M - P L AH0 S +ACCOMPLICES AH0 - K AA1 M - P L AH0 - S AH0 Z +ACCOMPLISH AH0 - K AA1 M - P L IH0 SH +ACCOMPLISHED AH0 - K AA1 M - P L IH0 SH T +ACCOMPLISHES AH0 - K AA1 M - P L IH0 - SH IH0 Z +ACCOMPLISHING AH0 - K AA1 M - P L IH0 - SH IH0 NG +ACCOMPLISHMENT AH0 - K AA1 M - P L IH0 SH - M AH0 N T +ACCOMPLISHMENTS AH0 - K AA1 M - P L IH0 SH - M AH0 N T S +ACCOR AE1 - K AO2 R +ACCOR'S AE1 - K ER0 Z +ACCORD AH0 - K AO1 R D +ACCORD'S AH0 - K AO1 R D Z +ACCORDANCE AH0 - K AO1 R - D AH0 N S +ACCORDED AH0 - K AO1 R - D IH0 D +ACCORDING AH0 - K AO1 R - D IH0 NG +ACCORDINGLY AH0 - K AO1 R - D IH0 NG - L IY0 +ACCORDION AH0 - K AO1 R - D IY0 - AH0 N +ACCORDIONS AH0 - K AO1 R - D IY0 - AH0 N Z +ACCORDS AH0 - K AO1 R D Z +ACCOST AH0 - K AO1 S T +ACCOSTED AH0 - K AA1 - S T AH0 D +ACCOSTING AH0 - K AA1 - S T IH0 NG +ACCOUNT AH0 - K AW1 N T +ACCOUNT'S AH0 - K AW1 N T S +ACCOUNTABILITY AH0 - K AW1 N - T AH0 - B IH0 - L IH0 - T IY0 +ACCOUNTABILITY(2) AH0 - K AW1 - N AH0 - B IH0 - L IH0 - T IY0 +ACCOUNTABLE AH0 - K AW1 N - T AH0 - B AH0 L +ACCOUNTABLE(2) AH0 - K AW1 - N AH0 - B AH0 L +ACCOUNTANCY AH0 - K AW1 N - T AH0 N - S IY0 +ACCOUNTANT AH0 - K AW1 N - T AH0 N T +ACCOUNTANT'S AH0 - K AW1 N - T AH0 N T S +ACCOUNTANTS AH0 - K AW1 N - T AH0 N T S +ACCOUNTANTS' AH0 - K AW1 N - T AH0 N T S +ACCOUNTED AH0 - K AW1 N - T AH0 D +ACCOUNTED(2) AH0 - K AW1 - N AH0 D +ACCOUNTEMP AH0 - K AW1 N - T EH2 M P +ACCOUNTEMPS AH0 - K AW1 N - T EH2 M P S +ACCOUNTING AH0 - K AW1 N - T IH0 NG +ACCOUNTING(2) AH0 - K AW1 - N IH0 NG +ACCOUNTS AH0 - K AW1 N T S +ACCOUTERMENT AH0 - K UW1 - T ER0 - M AH0 N T +ACCOUTERMENTS AH0 - K UW1 - T ER0 - M AH0 N T S +ACCREDIT AH0 - K R EH2 - D AH0 T +ACCREDITATION AH0 - K R EH2 - D AH0 - T EY1 - SH AH0 N +ACCREDITATIONS AH0 - K R EH2 - D AH0 - D EY1 - SH AH0 N Z +ACCREDITED AH0 - K R EH1 - D IH0 - T IH0 D +ACCREDITING AH0 - K R EH1 - D AH0 - T IH0 NG +ACCRETION AH0 - K R IY1 - SH AH0 N +ACCRUAL AH0 - K R UW1 - AH0 L +ACCRUALS AH0 - K R UW1 - AH0 L Z +ACCRUE AH0 - K R UW1 +ACCRUED AH0 - K R UW1 D +ACCRUES AH0 - K R UW1 Z +ACCRUING AH0 - K R UW1 - IH0 NG +ACCUMULATE AH0 - K Y UW1 - M Y AH0 - L EY2 T +ACCUMULATED AH0 - K Y UW1 - M Y AH0 - L EY2 - T IH0 D +ACCUMULATES AH0 - K Y UW1 - M Y AH0 - L EY2 T S +ACCUMULATING AH0 - K Y UW1 - M Y AH0 - L EY2 - T IH0 NG +ACCUMULATION AH0 - K Y UW2 - M Y AH0 - L EY1 - SH AH0 N +ACCUMULATIONS AH0 - K Y UW2 - M Y AH0 - L EY1 - SH AH0 N Z +ACCUMULATIVE AH0 - K Y UW1 - M Y AH0 - L EY2 - T IH0 V +ACCUMULATIVELY AH0 - K Y UW1 - M Y AH0 - L EY2 - T IH0 V - L IY0 +ACCUMULATIVELY(2) AH0 - K Y UW1 - M Y AH0 - L AH0 - T IH0 V - L IY0 +ACCUMULATOR AH0 - K Y UW1 - M Y AH0 - L EY2 - T ER0 +ACCUMULATORS AH0 - K Y UW1 - M Y AH0 - L EY2 - T ER0 Z +ACCURACIES AE1 - K Y ER0 - AH0 - S IY0 Z +ACCURACY AE1 - K Y ER0 - AH0 - S IY0 +ACCURATE AE1 - K Y ER0 - AH0 T +ACCURATELY AE1 - K Y ER0 - AH0 T - L IY0 +ACCURAY AE1 - K Y ER0 - EY2 +ACCURAY'S AE1 - K Y ER0 - EY2 Z +ACCURIDE AE1 - K Y ER0 - AY2 D +ACCURSO AA0 - K UH1 R - S OW0 +ACCUSATION AE2 - K Y AH0 - Z EY1 - SH AH0 N +ACCUSATION(2) AE2 - K Y UW0 - Z EY1 - SH AH0 N +ACCUSATIONS AE2 - K Y AH0 - Z EY1 - SH AH0 N Z +ACCUSATIONS(2) AE2 - K Y UW0 - Z EY1 - SH AH0 N Z +ACCUSATIVE AH0 - K Y UW1 - Z AH0 - T IH0 V +ACCUSATORY AH0 - K Y UW1 - Z AH0 - T AO2 - R IY0 +ACCUSE AH0 - K Y UW1 Z +ACCUSED AH0 - K Y UW1 Z D +ACCUSER AH0 - K Y UW1 - Z ER0 +ACCUSERS AH0 - K Y UW1 - Z ER0 Z +ACCUSES AH0 - K Y UW1 - Z IH0 Z +ACCUSING AH0 - K Y UW1 - Z IH0 NG +ACCUSINGLY AH0 - K Y UW1 - Z IH0 NG - L IY0 +ACCUSTOM AH0 - K AH1 - S T AH0 M +ACCUSTOMED AH0 - K AH1 - S T AH0 M D +ACCUTANE AE1 - K Y UW0 - T EY2 N +ACE EY1 S +ACED EY1 S T +ACER EY1 - S ER0 +ACERBIC AH0 - S EH1 R - B IH0 K +ACERO AH0 - S EH1 - R OW0 +ACERRA AH0 - S EH1 - R AH0 +ACES EY1 - S IH0 Z +ACETAMINOPHEN AH0 - S IY2 - T AH0 - M IH1 - N AH0 - F AH0 N +ACETATE AE1 - S AH0 - T EY2 T +ACETIC AH0 - S EH1 - T IH0 K +ACETIC(2) AH0 - S IY1 - T IH0 K +ACETO AA0 - S EH1 - T OW0 +ACETONE AE1 - S AH0 - T OW2 N +ACETYLCHOLINE AH0 - S EH2 - T AH0 L - K OW1 - L IY0 N +ACETYLCHOLINE(2) AH0 - S IY2 - T AH0 L - K OW1 - L IY0 N +ACETYLENE AH0 - S EH1 - T AH0 - L IY2 N +ACEVEDO AE0 - S AH0 - V EY1 - D OW0 +ACEVES AA0 - S EY1 - V EH0 S +ACEY EY1 - S IY0 +ACHATZ AE1 - K AH0 T S +ACHE EY1 K +ACHEBE AA0 - CH EY1 - B IY0 +ACHEE AH0 - CH IY1 +ACHENBACH AE1 - K IH0 N - B AA0 K +ACHENBAUM AE1 - K AH0 N - B AW2 M +ACHES EY1 K S +ACHESON AE1 - CH AH0 - S AH0 N +ACHEY AE1 - CH IY0 +ACHIEVABLE AH0 - CH IY1 - V AH0 - B AH0 L +ACHIEVE AH0 - CH IY1 V +ACHIEVED AH0 - CH IY1 V D +ACHIEVEMENT AH0 - CH IY1 V - M AH0 N T +ACHIEVEMENTS AH0 - CH IY1 V - M AH0 N T S +ACHIEVER AH0 - CH IY1 - V ER0 +ACHIEVERS AH0 - CH IY1 - V ER0 Z +ACHIEVES AH0 - CH IY1 V Z +ACHIEVING AH0 - CH IY1 - V IH0 NG +ACHILLE AH0 - K IH1 - L IY0 +ACHILLES AH0 - K IH1 - L IY0 Z +ACHILLES' AH0 - K IH1 - L IY0 Z +ACHING EY1 - K IH0 NG +ACHMED AA1 HH - M EH0 D +ACHOA AH0 - CH OW1 - AH0 +ACHOA'S AH0 - CH OW1 - AH0 Z +ACHOR EY1 - K ER0 +ACHORD AE1 - K AO0 R D +ACHORN AE1 - K ER0 N +ACHTENBERG AE1 K - T EH0 N - B ER0 G +ACHTERBERG AE1 K - T ER0 - B ER0 G +ACHY EY1 - K IY0 +ACID AE1 - S AH0 D +ACIDIC AH0 - S IH1 - D IH0 K +ACIDIFICATION AH0 - S IH2 - D AH0 - F AH0 - K EY1 - SH AH0 N +ACIDIFIED AH0 - S IH1 - D AH0 - F AY2 D +ACIDIFIES AH0 - S IH1 - D AH0 - F AY2 Z +ACIDIFY AH0 - S IH1 - D AH0 - F AY2 +ACIDITY AH0 - S IH1 - D AH0 - T IY0 +ACIDLY AE1 - S AH0 D - L IY0 +ACIDOSIS AE2 - S AH0 - D OW1 - S AH0 S +ACIDS AE1 - S AH0 D Z +ACIDURIA AE2 - S AH0 - D UH1 - R IY0 - AH0 +ACIERNO AA0 - S IH1 R - N OW0 +ACK AE1 K +ACKER AE1 - K ER0 +ACKER'S AE1 - K ER0 Z +ACKERLEY AE1 - K ER0 - L IY0 +ACKERLY AE1 - K ER0 - L IY0 +ACKERMAN AE1 - K ER0 - M AH0 N +ACKERMANN AE1 - K ER0 - M AH0 N +ACKERSON AE1 - K ER0 - S AH0 N +ACKERT AE1 - K ER0 T +ACKHOUSE AE1 K - HH AW2 S +ACKLAND AE1 K - L AH0 N D +ACKLES AE1 - K AH0 L Z +ACKLEY AE1 K - L IY0 +ACKLIN AE1 - K L IH0 N +ACKMAN AE1 K - M AH0 N +ACKNOWLEDGE AE0 K - N AA1 - L IH0 JH +ACKNOWLEDGE(2) IH0 K - N AA1 - L IH0 JH +ACKNOWLEDGEABLE AE0 K - N AA1 - L IH0 - JH AH0 - B AH0 L +ACKNOWLEDGEABLE(2) IH0 K - N AA1 - L IH0 - JH AH0 - B AH0 L +ACKNOWLEDGED AE0 K - N AA1 - L IH0 JH D +ACKNOWLEDGED(2) IH0 K - N AA1 - L IH0 JH D +ACKNOWLEDGEMENT AE0 K - N AA1 - L IH0 JH - M AH0 N T +ACKNOWLEDGEMENT(2) IH0 K - N AA1 - L IH0 JH - M AH0 N T +ACKNOWLEDGES AE0 K - N AA1 - L IH0 - JH IH0 Z +ACKNOWLEDGES(2) IH0 K - N AA1 - L IH0 - JH IH0 Z +ACKNOWLEDGING AE0 K - N AA1 - L IH0 - JH IH0 NG +ACKNOWLEDGING(2) IH0 K - N AA1 - L IH0 - JH IH0 NG +ACKNOWLEDGMENT AE0 K - N AA1 - L IH0 JH - M AH0 N T +ACKNOWLEDGMENT(2) IH0 K - N AA1 - L IH0 JH - M AH0 N T +ACKROYD AE1 - K R OY2 D +ACKROYD'S AE1 - K R OY2 D Z +ACMAT AE1 K - M AE0 T +ACMAT'S AE1 K - M AE0 T S +ACME AE1 K - M IY0 +ACME'S AE1 K - M IY0 Z +ACNE AE1 K - N IY0 +ACOCELLA AA0 - K OW0 - CH EH1 - L AH0 +ACOFF AE1 - K AO0 F +ACOG AH0 - K AO1 G +ACOLYTE AE1 - K AH0 - L AY2 T +ACOLYTES AE1 - K AH0 - L AY2 T S +ACORD AH0 - K AO1 R D +ACORN EY1 - K AO0 R N +ACORNS EY1 - K AO0 R N Z +ACOSTA AH0 - K AO1 - S T AH0 +ACOUSTIC AH0 - K UW1 - S T IH0 K +ACOUSTICAL AH0 - K UW1 - S T IH0 - K AH0 L +ACOUSTICALLY AH0 - K UW1 - S T IH0 K - L IY0 +ACOUSTICS AH0 - K UW1 - S T IH0 K S +ACQUAINT AH0 - K W EY1 N T +ACQUAINTANCE AH0 - K W EY1 N - T AH0 N S +ACQUAINTANCES AH0 - K W EY1 N - T AH0 N - S IH0 Z +ACQUAINTANCESHIP AH0 - K W EY1 N - T AH0 N S - SH IH0 P +ACQUAINTED AH0 - K W EY1 N - T IH0 D +ACQUAINTED(2) AH0 - K W EY1 - N IH0 D +ACQUAVIVA AA0 - K W AA0 - V IY1 - V AH0 +ACQUIESCE AE2 - K W IY0 - EH1 S +ACQUIESCED AE2 - K W IY0 - EH1 S T +ACQUIESCENCE AE2 - K W IY0 - EH1 - S AH0 N S +ACQUIESCING AE2 - K W IY0 - EH1 - S IH0 NG +ACQUIRE AH0 - K W AY1 - ER0 +ACQUIRED AH0 - K W AY1 - ER0 D +ACQUIRER AH0 - K W AY1 - ER0 - ER0 +ACQUIRERS AH0 - K W AY1 - ER0 - ER0 Z +ACQUIRES AH0 - K W AY1 - ER0 Z +ACQUIRING AH0 - K W AY1 - R IH0 NG +ACQUIRING(2) AH0 - K W AY1 - ER0 - IH0 NG +ACQUISITION AE2 - K W AH0 - Z IH1 - SH AH0 N +ACQUISITION'S AE2 - K W AH0 - Z IH1 - SH AH0 N Z +ACQUISITIONS AE2 - K W AH0 - Z IH1 - SH AH0 N Z +ACQUISITIVE AH0 - K W IH1 - Z AH0 - T IH0 V +ACQUIT AH0 - K W IH1 T +ACQUITAINE AE1 - K W IH0 - T EY2 N +ACQUITS AH0 - K W IH1 T S +ACQUITTAL AH0 - K W IH1 - T AH0 L +ACQUITTALS AH0 - K W IH1 - T AH0 L Z +ACQUITTED AH0 - K W IH1 - T AH0 D +ACQUITTED(2) AH0 - K W IH1 - T IH0 D +ACQUITTING AH0 - K W IH1 - T IH0 NG +ACRE EY1 - K ER0 +ACREAGE EY1 - K ER0 - IH0 JH +ACREAGE(2) EY1 - K R AH0 JH +ACREE AH0 - K R IY1 +ACRES EY1 - K ER0 Z +ACREY AE1 - K R IY0 +ACRI AA1 - K R IY0 +ACRID AE1 - K R IH0 D +ACRIMONIOUS AE2 - K R AH0 - M OW1 - N IY0 - AH0 S +ACRIMONY AE1 - K R IH0 - M OW2 - N IY0 +ACROBAT AE1 - K R AH0 - B AE2 T +ACROBATIC AE2 - K R AH0 - B AE1 - T IH0 K +ACROBATICS AE2 - K R AH0 - B AE1 - T IH0 K S +ACROBATS AE1 - K R AH0 - B AE2 T S +ACRONYM AE1 - K R AH0 - N IH0 M +ACRONYMS AE1 - K R AH0 - N IH0 M Z +ACROPOLIS AH0 - K R AA1 - P AH0 - L AH0 S +ACROSS AH0 - K R AO1 S +ACRYLIC AH0 - K R IH1 - L IH0 K +ACRYLICS AH0 - K R IH1 - L IH0 K S +ACT AE1 K T +ACT'S AE1 K T S +ACTAVA AE2 K - T AA1 - V AH0 +ACTED AE1 K - T AH0 D +ACTED(2) AE1 K - T IH0 D +ACTIGALL AE1 K - T IH0 - G AO0 L +ACTIN AE1 K - T AH0 N +ACTING AE1 K - T IH0 NG +ACTINIDE AE1 K - T IH0 - N AY2 D +ACTINIDIA AE2 K - T IH0 - N IH1 - D IY0 - AH0 +ACTION AE1 K - SH AH0 N +ACTION'S AE1 K - SH AH0 N Z +ACTIONABLE AE1 K - SH AH0 N - AH0 - B AH0 L +ACTIONS AE1 K - SH AH0 N Z +ACTIVASE AE1 K - T IH0 - V EY2 Z +ACTIVATE AE1 K - T AH0 - V EY2 T +ACTIVATED AE1 K - T AH0 - V EY2 - T AH0 D +ACTIVATED(2) AE1 K - T IH0 - V EY2 - T IH0 D +ACTIVATES AE1 K - T AH0 - V EY2 T S +ACTIVATING AE1 K - T AH0 - V EY2 - T IH0 NG +ACTIVATION AE2 K - T AH0 - V EY1 - SH AH0 N +ACTIVATOR AE1 K - T AH0 - V EY2 - T ER0 +ACTIVE AE1 K - T IH0 V +ACTIVELY AE1 K - T IH0 V - L IY0 +ACTIVES AE1 K - T IH0 V Z +ACTIVISION AE1 K - T IH0 - V IH2 - ZH AH0 N +ACTIVISM AE1 K - T IH0 - V IH2 - Z AH0 M +ACTIVIST AE1 K - T AH0 - V AH0 S T +ACTIVIST(2) AE1 K - T IH0 - V IH0 S T +ACTIVISTS AE1 K - T AH0 - V AH0 S T S +ACTIVISTS' AE1 K - T IH0 - V IH0 S T S +ACTIVISTS'(2) AE1 K - T IH0 - V IH0 S +ACTIVISTS(2) AE1 K - T IH0 - V IH0 S T S +ACTIVISTS(3) AE1 K - T AH0 - V AH0 S S +ACTIVISTS(4) AE1 K - T IH0 - V IH0 S S +ACTIVISTS(5) AE1 K - T AH0 - V AH0 S +ACTIVISTS(6) AE1 K - T IH0 - V IH0 S +ACTIVITIES AE0 K - T IH1 - V AH0 - T IY0 Z +ACTIVITIES(2) AE0 K - T IH1 - V IH0 - T IY0 Z +ACTIVITY AE0 K - T IH1 - V AH0 - T IY0 +ACTIVITY(2) AE0 K - T IH1 - V IH0 - T IY0 +ACTMEDIA AE0 K T - M IY1 - D IY0 - AH0 +ACTODINE AE1 K - T OW0 - D AY2 N +ACTON AE1 K - T AH0 N +ACTOR AE1 K - T ER0 +ACTOR'S AE1 K - T ER0 Z +ACTORS AE1 K - T ER0 Z +ACTORS' AE1 K - T ER0 Z +ACTRESS AE1 K - T R AH0 S +ACTRESS'S AE1 K - T R AH0 - S IH0 Z +ACTRESSES AE1 K - T R AH0 - S IH0 Z +ACTS AE1 K T S +ACTS(2) AE1 K S +ACTUAL AE1 K - CH AH0 - W AH0 L +ACTUAL(2) AE1 K - SH AH0 L +ACTUALITY AE2 K - CH AH0 W - AE1 - L AH0 - T IY0 +ACTUALIZE AE1 K - CH AH0 W - AH0 - L AY2 Z +ACTUALLY AE1 K - CH AH0 W - AH0 - L IY0 +ACTUALLY(2) AE1 K SH - L IY0 +ACTUALLY(3) AE1 K CH - L IY0 +ACTUALLY(4) AE1 K - SH AH0 - L IY0 +ACTUARIAL AE2 K - CH AH0 W - EH1 - R IY0 - AH0 L +ACTUARIES AE1 K - CH AH0 W - EH2 - R IY0 Z +ACTUARY AE1 K - CH AH0 W - EH2 - R IY0 +ACTUATE AE1 K - CH UW0 W - EY2 T +ACTUATOR AE1 K - T Y UW0 - EY2 - T ER0 +ACTUATOR(2) AE1 K - CH UW0 - EY2 - T ER0 +ACTUATORS AE1 K - T Y UW0 - EY2 - T ER0 Z +ACTUATORS(2) AE1 K - CH UW0 - EY2 - T ER0 Z +ACTUS AE1 K - T AH0 S +ACUFF AH0 - K AH1 F +ACUITY AH0 - K Y UW1 - AH0 - T IY0 +ACUMEN AH0 - K Y UW1 - M AH0 N +ACUNA AA0 - K UW1 - N AH0 +ACUPUNCTURE AE1 - K Y UW0 - P AH2 NG K - CH ER0 +ACURA AE1 - K Y ER0 - AH0 +ACURA'S AE1 - K Y ER0 - AH0 Z +ACURAS AE1 - K Y ER0 - AH0 Z +ACUSON AE2 - K Y UW1 - S AH0 N +ACUSTAR AE1 - K Y UW0 - S T AA2 R +ACUSYST AE1 - K Y UW0 - S IH0 S T +ACUTE AH0 - K Y UW1 T +ACUTELY AH0 - K Y UW1 T - L IY0 +ACUTENESS AH0 - K Y UW1 T - N AH0 S +ACYCLOVIR AH0 - S IH1 - K L OW0 - V IH2 R +AD AE1 D +AD'S AE1 D Z +AD-HOC AE1 D - HH AA1 K +AD-LIB AE1 D - L IH1 B +ADA EY1 - D AH0 +ADABEL AE1 - D AH0 - B EH0 L +ADABELLE AE1 - D AH0 - B AH0 L +ADACHI AA0 - D AA1 - K IY0 +ADAGE AE1 - D AH0 JH +ADAGE(2) AE1 - D IH0 JH +ADAGIO AH0 - D AA1 - ZH IY0 - OW2 +ADAH AE1 - D AA0 +ADAIR AH0 - D EH1 R +ADAIRE AA0 - D EH1 R +ADAK AH0 - D AE1 K +ADALAH AA0 - D AA1 - L AH0 +ADALIA AA0 - D AA1 - L IY0 - AH0 +ADAM AE1 - D AH0 M +ADAM'S AE1 - D AH0 M Z +ADAMANT AE1 - D AH0 - M AH0 N T +ADAMANTLY AE1 - D AH0 - M AH0 N T - L IY0 +ADAMCIK AA1 - D AH0 M - CH IH0 K +ADAMCZAK AA1 - D AH0 M - CH AE0 K +ADAMCZYK AA1 - D AH0 M - CH IH0 K +ADAME AA0 - D AA1 - M IY0 +ADAMEC AH0 - D AA1 - M IH0 K +ADAMEK AH0 - D AA1 - M EH0 K +ADAMES AH0 - D EY1 M Z +ADAMI AA0 - D AA1 - M IY0 +ADAMIK AH0 - D AA1 - M IH0 K +ADAMINA AA0 - D AA0 - M IY1 - N AH0 +ADAMKUS AE1 - D AH0 M - K AH0 S +ADAMO AA0 - D AA1 - M OW0 +ADAMOWICZ AH0 - D AA1 - M AH0 - V IH0 CH +ADAMS AE1 - D AH0 M Z +ADAMS' AE1 - D AH0 M Z +ADAMS'S AE1 - D AH0 M - Z IH0 Z +ADAMSKI AH0 - D AE1 M S - K IY2 +ADAMSON AE1 - D AH0 M - S AH0 N +ADAMSTOWN AE1 - D AH0 M - S T AW2 N +ADAN EY1 - D AH0 N +ADAPSO AH0 - D AE1 P - S OW0 +ADAPT AH0 - D AE1 P T +ADAPTABILITY AH0 - D AE2 P - T AH0 - B IH1 - L AH0 - T IY0 +ADAPTABLE AH0 - D AE1 P - T AH0 - B AH0 L +ADAPTAPLEX AH0 - D AE1 P - T AH0 - P L EH2 K S +ADAPTATION AE2 - D AH0 P - T EY1 - SH AH0 N +ADAPTATIONS AE2 - D AE0 P - T EY1 - SH AH0 N Z +ADAPTATIONS(2) AE2 - D AH0 P - T EY1 - SH AH0 N Z +ADAPTEC AH0 - D AE1 P - T EH2 K +ADAPTED AH0 - D AE1 P - T AH0 D +ADAPTED(2) AH0 - D AE1 P - T IH0 D +ADAPTER AH0 - D AE1 P - T ER0 +ADAPTERS AH0 - D AE1 P - T ER0 Z +ADAPTING AH0 - D AE1 P - T IH0 NG +ADAPTIVE AH0 - D AE1 P - T IH0 V +ADAPTOR AH0 - D AE1 P - T ER0 +ADAPTS AH0 - D AE1 P T S +ADAR AH0 - D AA1 R +ADARAND AE1 - D AH0 - R AE2 N D +ADAY AH0 - D EY1 +ADAZA AH0 - D AA1 - Z AH0 +ADCOCK AH0 D - K AA1 K +ADCOX AH0 D - K AA1 K S +ADD AE1 D +ADDAIR AH0 - D EH1 R +ADDAMS AE1 - D AH0 M Z +ADDED AE1 - D AH0 D +ADDED(2) AE1 - D IH0 D +ADDENDUM AH0 - D EH1 - D AH0 M +ADDENDUMS AH0 - D EH1 - D AH0 M Z +ADDEO AA1 - D IY0 - OW0 +ADDER AE1 - D ER0 +ADDERLEY AH0 - D ER1 - L IY0 +ADDICKS AE1 - D IH0 K S +ADDICT AH0 - D IH1 K T +ADDICT(2) AE1 - D IH2 K T +ADDICTED AH0 - D IH1 K - T AH0 D +ADDICTED(2) AH0 - D IH1 K - T IH0 D +ADDICTING AH0 - D IH1 K - T IH0 NG +ADDICTION AH0 - D IH1 K - SH AH0 N +ADDICTIONS AH0 - D IH1 K - SH AH0 N Z +ADDICTIVE AH0 - D IH1 K - T IH0 V +ADDICTS AH0 - D IH1 K T S +ADDICTS(2) AE1 - D IH2 K T S +ADDIDAS AH0 - D IY1 - D AH0 S +ADDIDAS' AH0 - D IY1 - D AH0 S +ADDIDAS'S AH0 - D IY1 - D AH0 - S IH0 Z +ADDIDASES AH0 - D IY1 - D AH0 - S IH0 Z +ADDIE AE1 - D IY0 +ADDING AE1 - D IH0 NG +ADDINGTON AE1 - D IH0 NG - T AH0 N +ADDIS AA1 - D IH0 S +ADDIS-ABABA AA1 - D IH0 S - AH0 - B AA1 - B AH0 +ADDIS-ABABA(2) AA1 - D IY0 - S AH0 - B AA1 - B AH0 +ADDISON AE1 - D AH0 - S AH0 N +ADDISON'S AE1 - D IH0 - S AH0 N Z +ADDISON(2) AE1 - D IH0 - S AH0 N +ADDITION AH0 - D IH1 - SH AH0 N +ADDITIONAL AH0 - D IH1 - SH AH0 - N AH0 L +ADDITIONAL(2) AH0 - D IH1 SH - N AH0 L +ADDITIONALLY AH0 - D IH1 - SH AH0 N - AH0 - L IY0 +ADDITIONALLY(2) AH0 - D IH1 SH - N AH0 - L IY0 +ADDITIONS AH0 - D IH1 - SH AH0 N Z +ADDITIVE AE1 - D AH0 - T IH0 V +ADDITIVE(2) AE1 - D IH0 - T IH0 V +ADDITIVES AE1 - D AH0 - T IH0 V Z +ADDITIVES(2) AE1 - D IH0 - T IH0 V Z +ADDLE AE1 - D AH0 L +ADDLED AE1 - D AH0 L D +ADDLEMAN AE1 - D AH0 L - M AH0 N +ADDRESS AE1 - D R EH2 S +ADDRESS(2) AH0 - D R EH1 S +ADDRESSABLE AH0 - D R EH1 - S AH0 - B AH0 L +ADDRESSED AH0 - D R EH1 S T +ADDRESSEE AE2 - D R EH0 - S IY1 +ADDRESSES AE1 - D R EH1 - S IH0 Z +ADDRESSES(2) AH0 - D R EH1 - S IH0 Z +ADDRESSING AH0 - D R EH1 - S IH0 NG +ADDS AE1 D Z +ADDUCI AA0 - D UW1 - CH IY0 +ADDWEST AE2 D - W EH1 S T +ADDY AE1 - D IY0 +ADE EY1 D +ADEE AH0 - D IY1 +ADEL AH0 - D EH1 L +ADELA AH0 - D EH1 - L AH0 +ADELAAR AE1 - D AH0 - L AA2 R +ADELAIDE AE1 - D AH0 - L EY2 D +ADELBERT AH0 - D EH1 L - B ER0 T +ADELE AH0 - D EH1 L +ADELE'S AH0 - D EH1 L Z +ADELINE AE1 - D AH0 - L AY2 N +ADELIZZI AE2 - D AH0 - L IY1 - Z IY0 +ADELL AH0 - D EH1 L +ADELL'S AH0 - D EH1 L Z +ADELLE AH0 - D EH1 L +ADELMAN AE1 - D AH0 L - M AH0 N +ADELMAN(2) EH1 - D AH0 L - M AH0 N +ADELMANN AE1 - D AH0 L - M AH0 N +ADELPHA AH0 - D EH1 L - F AH0 +ADELPHIA AH0 - D EH1 L - F IY0 - AH0 +ADELPHIA'S AH0 - D EH1 L - F IY0 - AH0 Z +ADELSBERGER AE1 - D IH0 L Z - B ER0 - G ER0 +ADELSON AE1 - D AH0 L - S AH0 N +ADELSTEIN AE1 - D AH0 L - S T AY0 N +ADELSTEIN(2) AE1 - D AH0 L - S T IY0 N +ADEN EY1 - D AH0 N +ADENA AE1 - D IH0 - N AH0 +ADENAUER EY1 - D AH0 - N AW2 R +ADENAUER(2) AE1 - D AH0 - N AW2 R +ADENINE AE1 - D AH0 - N IY2 N +ADENOID AE1 - D AH0 - N OY2 D +ADENOIDS AE1 - D AH0 - N OY2 D Z +ADEPT AH0 - D EH1 P T +ADEQUACY AE1 - D AH0 - K W AH0 - S IY0 +ADEQUATE AE1 - D AH0 - K W AH0 T +ADEQUATE(2) AE1 - D AH0 - K W EY2 T +ADEQUATELY AE1 - D AH0 - K W AH0 T - L IY0 +ADEQUATELY(2) AE1 - D AH0 - K W IH0 T - L IY0 +ADER EY1 - D ER0 +ADERHOLD AE1 - D ER0 - HH OW0 L D +ADERHOLT AE1 - D ER0 - HH OW0 L T +ADERMAN AE1 - D ER0 - M AH0 N +ADES EY1 D Z +ADEY EY1 - D IY0 +ADGER AE1 - JH ER0 +ADHAM AE1 D - HH AE0 M +ADHERE AH0 D - HH IH1 R +ADHERED AE0 D - HH IH1 R D +ADHERENCE AH0 D - HH IH1 - R AH0 N S +ADHERENT AH0 D - HH IH1 - R AH0 N T +ADHERENTS AE0 D - HH IH1 - R AH0 N T S +ADHERES AH0 D - HH IH1 R Z +ADHERING AH0 D - HH IH1 - R IH0 NG +ADHESIVE AE0 D - HH IY1 - S IH0 V +ADHESIVE(2) AH0 D - HH IY1 - S IH0 V +ADHESIVES AE0 D - HH IY1 - S IH0 V Z +ADHESIVES(2) AH0 D - HH IY1 - S IH0 V Z +ADIA AA1 - D IY0 - AH0 +ADID AH0 - D IH1 D +ADIDAS AH0 - D IY1 - D AH0 S +ADIEU AH0 - D UW1 +ADIN AH0 - D IH1 N +ADINA AA0 - D IY1 - N AH0 +ADINE AA0 - D IY1 - N IY0 +ADINOLFI AA0 - D IY0 - N OW1 L - F IY0 +ADIOS AA2 - D IY0 - OW1 S +ADIPOSE AE1 - D AH0 - P OW2 S +ADIRONDACK AE2 - D ER0 - AA1 N - D AE0 K +ADJACENT AH0 - JH EY1 - S AH0 N T +ADJANI AE0 D - JH AA1 - N IY0 +ADJECTIVE AE1 - JH IH0 K - T IH0 V +ADJECTIVES AE1 - JH IH0 K - T IH0 V Z +ADJOIN AH0 - JH OY1 N +ADJOINING AH0 - JH OY1 - N IH0 NG +ADJOINS AH0 - JH OY1 N Z +ADJOURN AH0 - JH ER1 N +ADJOURNED AH0 - JH ER1 N D +ADJOURNING AH0 - JH ER1 - N IH0 NG +ADJOURNMENT AH0 - JH ER1 N - M AH0 N T +ADJOURNS AH0 - JH ER1 N Z +ADJUDGE AH0 - JH AH1 JH +ADJUDGED AH0 - JH AH1 JH D +ADJUDICATE AH0 - JH UW1 - D IH0 - K EY2 T +ADJUDICATED AH0 - JH UW1 - D AH0 - K EY2 - T IH0 D +ADJUDICATING AH0 - JH UW1 - D IH0 - K EY2 - T IH0 NG +ADJUDICATION AH0 - JH UW2 - D AH0 - K EY1 - SH AH0 N +ADJUNCT AE1 - JH AH2 NG K T +ADJUNCTS AE1 - JH AH2 NG K T S +ADJUST AH0 - JH AH1 S T +ADJUSTABLE AH0 - JH AH1 - S T AH0 - B AH0 L +ADJUSTABLES AH0 - JH AH1 - S T AH0 - B AH0 L Z +ADJUSTED AH0 - JH AH1 - S T AH0 D +ADJUSTED(2) AH0 - JH AH1 - S T IH0 D +ADJUSTER AH0 - JH AH1 - S T ER0 +ADJUSTERS AH0 - JH AH1 - S T ER0 Z +ADJUSTING AH0 - JH AH1 - S T IH0 NG +ADJUSTMENT AH0 - JH AH1 S T - M AH0 N T +ADJUSTMENTS AH0 - JH AH1 S T - M AH0 N T S +ADJUSTS AH0 - JH AH1 S T S +ADJUSTS(2) AH0 - JH AH1 S S +ADJUSTS(3) AH0 - JH AH1 S +ADJUTANT AE1 - JH AH0 - T AH0 N T +ADKINS AE1 D - K IH0 N Z +ADKINSON AE1 D - K IH0 N - S AH0 N +ADKISON AE1 D - K IH0 - S AH0 N +ADKISSON AE1 D - K IH0 - S AH0 N +ADL-TABATABA AA2 - D AH0 L - T AA2 - B AH0 - T AA1 - B AH0 +ADL-TABATABAI AA2 - D AH0 L - T AA2 - B AH0 - T AH2 - B AY1 +ADLAI AA0 D - L AA1 - IY0 +ADLER AE1 D - L ER0 +ADLEY AE1 D - L IY0 +ADLON AE1 D - L AA0 N +ADMAN AE1 D - M AH0 N +ADMEN AE1 D - M AH0 N +ADMINISTER AH0 D - M IH1 - N AH0 - S T ER0 +ADMINISTERED AH0 D - M IH1 - N AH0 - S T ER0 D +ADMINISTERING AE0 D - M IH1 - N IH0 - S T ER0 - IH0 NG +ADMINISTERS AE0 D - M IH1 - N IH0 - S T ER0 Z +ADMINISTRATE AE0 D - M IH1 - N IH0 - S T R EY2 T +ADMINISTRATING AH0 D - M IH1 - N AH0 - S T R EY2 - T IH0 NG +ADMINISTRATION AE0 D - M IH2 - N IH0 - S T R EY1 - SH AH0 N +ADMINISTRATION'S AE0 D - M IH2 - N IH0 - S T R EY1 - SH AH0 N Z +ADMINISTRATIONS AE0 D - M IH2 - N IH0 - S T R EY1 - SH AH0 N Z +ADMINISTRATIVE AH0 D - M IH1 - N AH0 - S T R EY2 - T IH0 V +ADMINISTRATIVELY AE0 D - M IH2 - N AH0 - S T R EY1 - T IH0 V - L IY0 +ADMINISTRATOR AH0 D - M IH1 - N AH0 - S T R EY2 - T ER0 +ADMINISTRATORS AE0 D - M IH1 - N IH0 - S T R EY2 - T ER0 Z +ADMINISTRATORS' AE0 D - M IH1 - N AH0 - S T R EY2 - T ER0 Z +ADMIRA AE0 D - M AY1 - R AH0 +ADMIRA'S AE0 D - M AY1 - R AH0 Z +ADMIRABLE AE1 D - M ER0 - AH0 - B AH0 L +ADMIRABLE(2) AE1 D - M R AH0 - B AH0 L +ADMIRABLY AE1 D - M ER0 - AH0 - B L IY0 +ADMIRAL AE1 D - M ER0 - AH0 L +ADMIRAL'S AE1 D - M ER0 - AH0 L Z +ADMIRALS AE1 D - M ER0 - AH0 L Z +ADMIRALTY AE1 D - M ER0 - AH0 L - T IY0 +ADMIRATION AE2 D - M ER0 - EY1 - SH AH0 N +ADMIRATIONS AE2 D - M ER0 - EY1 - SH AH0 N Z +ADMIRE AE0 D - M AY1 R +ADMIRED AH0 D - M AY1 - ER0 D +ADMIRER AE0 D - M AY1 - R ER0 +ADMIRERS AH0 D - M AY1 - R ER0 Z +ADMIRES AE0 D - M AY1 R Z +ADMIRING AE0 D - M AY1 - R IH0 NG +ADMIRINGLY AE0 D - M AY1 - R IH0 NG - L IY0 +ADMISSIBILITY AH0 D - M IH2 - S AH0 - B IH1 - L AH0 - T IY0 +ADMISSIBLE AH0 D - M IH1 - S AH0 - B AH0 L +ADMISSION AE0 D - M IH1 - SH AH0 N +ADMISSION(2) AH0 D - M IH1 - SH AH0 N +ADMISSIONS AE0 D - M IH1 - SH AH0 N Z +ADMISSIONS(2) AH0 D - M IH1 - SH AH0 N Z +ADMIT AH0 D - M IH1 T +ADMITS AH0 D - M IH1 T S +ADMITTANCE AH0 D - M IH1 - T AH0 N S +ADMITTED AH0 D - M IH1 - T AH0 D +ADMITTEDLY AE0 D - M IH1 - T IH0 D - L IY0 +ADMITTING AE0 D - M IH1 - T IH0 NG +ADMITTING(2) AH0 D - M IH1 - T IH0 NG +ADMONISH AE0 D - M AA1 - N IH0 SH +ADMONISHED AH0 D - M AA1 - N IH0 SH T +ADMONISHES AE0 D - M AA1 - N IH0 - SH IH0 Z +ADMONISHING AE0 D - M AA1 - N IH0 - SH IH0 NG +ADMONISHMENT AE0 D - M AA1 - N IH0 SH - M EH0 N T +ADMONITION AE2 D - M AH0 - N IH1 - SH AH0 N +ADMONITIONS AE2 D - M AH0 - N IH1 - SH AH0 N Z +ADNAN AE1 D - N AH0 N +ADNEY AE1 D - N IY0 +ADO AH0 - D UW1 +ADOBE AH0 - D OW1 - B IY0 +ADOBE'S AH0 - D OW1 - B IY0 Z +ADOLESCENCE AE2 - D AH0 - L EH1 - S AH0 N S +ADOLESCENCE(2) AE2 - D OW0 - L EH1 - S AH0 N S +ADOLESCENT AE2 - D AH0 - L EH1 - S AH0 N T +ADOLESCENT(2) AE2 - D OW0 - L EH1 - S AH0 N T +ADOLESCENTS AE2 - D AH0 - L EH1 - S AH0 N T S +ADOLESCENTS(2) AE2 - D OW0 - L EH1 - S AH0 N T S +ADOLF EY1 - D AA0 L F +ADOLF'S EY1 - D AA0 L F S +ADOLFO AH0 - D AA1 L - F OW2 +ADOLPH EY1 - D AO0 L F +ADOLPHA AA0 - D OW1 L - F AH0 +ADOLPHSON AE1 - D OW0 L F - S AH0 N +ADON AA0 - D AO1 N +ADONIA AA0 - D OW1 - N IY0 - AH0 +ADOPT AH0 - D AA1 P T +ADOPTABLE AH0 - D AA1 P - T AH0 - B AH0 L +ADOPTED AH0 - D AA1 P - T AH0 D +ADOPTEE AH0 - D AA1 P - T IY1 +ADOPTEES AH0 - D AA1 P - T IY1 Z +ADOPTING AH0 - D AA1 P - T IH0 NG +ADOPTION AH0 - D AA1 P - SH AH0 N +ADOPTIONS AH0 - D AA1 P - SH AH0 N Z +ADOPTIVE AH0 - D AA1 P - T IH0 V +ADOPTS AH0 - D AA1 P T S +ADOR AA0 - D AO1 R +ADORA AA0 - D AO1 - R AH0 +ADORABELLE AE1 - D ER0 - AH0 - B AH0 L +ADORABLE AH0 - D AO1 - R AH0 - B AH0 L +ADORATION AE2 - D ER0 - EY1 - SH AH0 N +ADORE AH0 - D AO1 R +ADORED AH0 - D AO1 R D +ADOREE AE0 - D ER0 - IY1 +ADORES AH0 - D AO1 R Z +ADORING AH0 - D AO1 - R IH0 NG +ADORN AH0 - D AO1 R N +ADORNA AA0 - D AO1 R - N AH0 +ADORNED AH0 - D AO1 R N D +ADORNMENT AH0 - D AO1 R N - M AH0 N T +ADORNO AA0 - D AO1 R - N OW0 +ADORNS AH0 - D AO1 R N Z +ADRA EY1 - D R AH0 +ADRAGNA AA0 - D R AA1 G - N AH0 +ADRDA EY1 - D ER0 - D AH0 +ADREA AA1 - D R IY0 - AH0 +ADRENAL AH0 - D R IY1 - N AH0 L +ADRENALIN AH0 - D R EH1 - N AH0 - L IH0 N +ADRENALINE AH0 - D R EH1 - N AH0 - L AH0 N +ADRIA AA1 - D R IY0 - AH0 +ADRIAN EY1 - D R IY0 - AH0 N +ADRIANA EY2 - D R IY0 - AE1 - N AH0 +ADRIANCE AA0 - D R IY1 - AH0 N S +ADRIANO AA0 - D R IY0 - AA1 - N OW0 +ADRIATIC EY2 - D R IY0 - AE1 - T IH0 K +ADRIEL AH0 - D R IY1 L +ADRIENNE AA0 - D R IY0 - EH1 N +ADRIFT AH0 - D R IH1 F T +ADROIT AH0 - D R OY1 T +ADROITLY AH0 - D R OY1 T - L IY0 +ADS AE1 D Z +ADS' AE1 D Z +ADSIT AE1 D - S IH0 T +ADSS AE1 D S +ADSS(2) EY1 - D IY1 - EH1 - S EH1 S +ADTEC AE1 D - T EH2 K +ADULATE AE1 - JH AH0 - L EY2 T +ADULATION AE2 - JH AH0 - L EY1 - SH AH0 N +ADULIADAE AH0 - D UW2 - L IY0 - AA1 - D EY0 +ADULT AH0 - D AH1 L T +ADULT(2) AE1 - D AH0 L T +ADULTERATE AH0 - D AH1 L - T ER0 - EY2 T +ADULTERATED AH0 - D AH1 L - T ER0 - EY2 - T IH0 D +ADULTERER AH0 - D AH1 L - T ER0 - ER0 +ADULTERERS AH0 - D AH1 L - T ER0 - ER0 Z +ADULTEROUS AH0 - D AH1 L - T ER0 - AH0 S +ADULTERY AH0 - D AH1 L - T ER0 - IY0 +ADULTHOOD AH0 - D AH1 L T - HH UH2 D +ADULTS AH0 - D AH1 L T S +ADULTS' AH0 - D AH1 L T S +ADULTS'(2) AE1 - D AH0 L T S +ADULTS(2) AE1 - D AH0 L T S +ADUSDUR AE1 - D AH0 S - D ER0 +ADVANCE AH0 D - V AE1 N S +ADVANCED AH0 D - V AE1 N S T +ADVANCEMENT AH0 D - V AE1 N S - M AH0 N T +ADVANCEMENTS AH0 D - V AE1 N - S M AH0 N T S +ADVANCER AH0 D - V AE1 N - S ER0 +ADVANCERS AH0 D - V AE1 N - S ER0 Z +ADVANCES AH0 D - V AE1 N - S AH0 Z +ADVANCES(2) AH0 D - V AE1 N - S IH0 Z +ADVANCING AH0 D - V AE1 N - S IH0 NG +ADVANTA AE0 D - V AE1 N - T AH0 +ADVANTA(2) AH0 D - V AE1 N - T AH0 +ADVANTAGE AE0 D - V AE1 N - T IH0 JH +ADVANTAGE(2) AH0 D - V AE1 N - T IH0 JH +ADVANTAGE(3) AE0 D - V AE1 - N IH0 JH +ADVANTAGE(4) AH0 D - V AE1 - N AH0 JH +ADVANTAGED AE0 D - V AE1 N - T IH0 JH D +ADVANTAGED(2) AH0 D - V AE1 N - T IH0 JH D +ADVANTAGED(3) AE0 D - V AE1 - N IH0 JH D +ADVANTAGED(4) AH0 D - V AE1 - N IH0 JH D +ADVANTAGEOUS AE2 D - V AH0 N - T EY1 - JH AH0 S +ADVANTAGES AE0 D - V AE1 N - T IH0 - JH IH0 Z +ADVANTAGES(2) AH0 D - V AE1 N - T IH0 - JH IH0 Z +ADVANTAGES(3) AE0 D - V AE1 - N IH0 - JH IH0 Z +ADVANTAGES(4) AH0 D - V AE1 - N IH0 - JH IH0 Z +ADVANTEST AE0 D - V AE1 N - T AH0 S T +ADVANTEST(2) AH0 D - V AE1 N - T AH0 S T +ADVECTION AE0 D - V EH1 K - SH AH0 N +ADVENT AE1 D - V EH2 N T +ADVENTIST AE1 D - V EH2 N - T IH0 S T +ADVENTISTS AE1 D - V EH2 N - T IH0 S T S +ADVENTISTS(2) AE1 D - V EH2 N - T IH0 S S +ADVENTURE AE0 D - V EH1 N - CH ER0 +ADVENTURE(2) AH0 D - V EH1 N - CH ER0 +ADVENTURER AE0 D - V EH1 N - CH ER0 - ER0 +ADVENTURER(2) AH0 D - V EH1 N - CH ER0 - ER0 +ADVENTURERS AE0 D - V EH1 N - CH ER0 - ER0 Z +ADVENTURERS(2) AH0 D - V EH1 N - CH ER0 - ER0 Z +ADVENTURES AE0 D - V EH1 N - CH ER0 Z +ADVENTURES(2) AH0 D - V EH1 N - CH ER0 Z +ADVENTURESOME AE0 D - V EH1 N - CH ER0 - S AH0 M +ADVENTURESOME(2) AH0 D - V EH1 N - CH ER0 - S AH0 M +ADVENTURISM AE0 D - V EH1 N - CH ER0 - IH2 - Z AH0 M +ADVENTURISM(2) AH0 D - V EH1 N - CH ER0 - IH2 - Z AH0 M +ADVENTUROUS AE0 D - V EH1 N - CH ER0 - AH0 S +ADVENTUROUS(2) AH0 D - V EH1 N - CH ER0 - AH0 S +ADVERB AE1 D - V ER0 B +ADVERBIAL AE0 D - V ER1 - B IY0 - AH0 L +ADVERBS AE1 D - V ER0 B Z +ADVERSARIAL AE2 D - V ER0 - S EH1 - R IY0 - AH0 L +ADVERSARIES AE1 D - V ER0 - S EH2 - R IY0 Z +ADVERSARY AE1 D - V ER0 - S EH2 - R IY0 +ADVERSE AE0 D - V ER1 S +ADVERSE(2) AE1 D - V ER2 S +ADVERSE(3) AH0 D - V ER1 S +ADVERSELY AE0 D - V ER1 S - L IY0 +ADVERSITY AE0 D - V ER1 - S IH0 - T IY0 +ADVERSITY(2) AH0 D - V ER1 - S IH0 - T IY0 +ADVERTISE AE1 D - V ER0 - T AY2 Z +ADVERTISED AE1 D - V ER0 - T AY2 Z D +ADVERTISED(2) AE2 D - V ER0 - T AY1 Z D +ADVERTISEMENT AH0 D - V ER1 - T AH0 Z - M AH0 N T +ADVERTISEMENT(2) AE2 D - V ER0 - T AY1 Z - M AH0 N T +ADVERTISEMENTS AE1 D - V ER0 - T AY2 Z - M AH0 N T S +ADVERTISER AE1 D - V ER0 - T AY2 - Z ER0 +ADVERTISER'S AE1 D - V ER0 - T AY2 - Z ER0 Z +ADVERTISERS AE1 D - V ER0 - T AY2 - Z ER0 Z +ADVERTISERS' AE1 D - V ER2 - T AY2 - Z ER0 Z +ADVERTISES AE1 D - V ER0 - T AY2 - Z IH0 Z +ADVERTISING AE1 D - V ER0 - T AY2 - Z IH0 NG +ADVERTISING'S AE1 D - V ER0 - T AY2 - Z IH0 NG Z +ADVERTORIAL AE2 D - V ER0 - T AO1 - R IY0 - AH0 L +ADVERTORIALS AE2 D - V ER0 - T AO1 - R IY0 - AH0 L Z +ADVEST AE1 D - V EH0 S T +ADVICE AE0 D - V AY1 S +ADVICE(2) AH0 D - V AY1 S +ADVIL AE1 D - V IH2 L +ADVIL'S AE1 D - V IH2 L Z +ADVISABILITY AE2 D - V AY2 - Z AH0 - B IH1 - L IH0 - T IY0 +ADVISABLE AH0 D - V AY1 - Z AH0 - B AH0 L +ADVISE AE0 D - V AY1 Z +ADVISE(2) AH0 D - V AY1 Z +ADVISED AE0 D - V AY1 Z D +ADVISED(2) AH0 D - V AY1 Z D +ADVISEDLY AE0 D - V AY1 - Z AH0 D - L IY0 +ADVISEDLY(2) AH0 D - V AY1 - Z AH0 D - L IY0 +ADVISEMENT AH0 D - V AY1 Z - M AH0 N T +ADVISER AE0 D - V AY1 - Z ER0 +ADVISER'S AH0 D - V AY1 - Z ER0 Z +ADVISERS AE0 D - V AY1 - Z ER0 Z +ADVISERS' AE2 D - V AY1 - Z ER0 Z +ADVISES AE0 D - V AY1 - Z IH0 Z +ADVISING AE0 D - V AY1 - Z IH0 NG +ADVISOR AE0 D - V AY1 - Z ER0 +ADVISOR(2) AH0 D - V AY1 - Z ER0 +ADVISORIES AH0 D - V AY1 - Z ER0 - IY0 Z +ADVISORS AE0 D - V AY1 - Z ER0 Z +ADVISORS(2) AH0 D - V AY1 - Z ER0 Z +ADVISORY AE0 D - V AY1 - Z ER0 - IY0 +ADVISORY(2) AH0 D - V AY1 - Z ER0 - IY0 +ADVO AE1 D - V OW0 +ADVOCACY AE1 D - V AH0 - K AH0 - S IY0 +ADVOCATE AE1 D - V AH0 - K AH0 T +ADVOCATE'S AE1 D - V AH0 - K AH0 T S +ADVOCATE(2) AE1 D - V AH0 - K EY2 T +ADVOCATED AE1 D - V AH0 - K EY2 - T AH0 D +ADVOCATED(2) AE1 D - V AH0 - K EY2 - T IH0 D +ADVOCATES AE1 D - V AH0 - K AH0 T S +ADVOCATES(2) AE1 D - V AH0 - K EY2 T S +ADVOCATING AE1 D - V AH0 - K EY2 - T IH0 NG +ADVOCATION AE2 D - V AH0 - K EY1 - SH AH0 N +ADWEEK AE1 D - W IY0 K +ADWELL AH0 D - W EH1 L +ADY EY1 - D IY0 +ADZ AE1 D Z +AE EY1 +AEGEAN IH0 - JH IY1 - AH0 N +AEGERTER EH1 - G ER0 - T ER0 +AEGIS IY1 - JH AH0 S +AEGON EY1 - G AA0 N +AELTUS AE1 L - T AH0 S +AENEAS AE1 - N IY0 - AH0 S +AEQUITRON EY1 - K W IH0 - T R AA0 N +AER EH1 R +AER(2) EY1 - IY1 - AA1 R +AERIAL EH1 - R IY0 - AH0 L +AERIEN EH1 - R IY0 - AH0 N +AERIENS EH1 - R IY0 - AH0 N Z +AERITALIA EH2 - R IH0 - T AE1 - L Y AH0 +AERO EH1 - R OW0 +AEROBATIC EH2 - R AH0 - B AE1 - T IH0 K +AEROBATICS EH2 - R AH0 - B AE1 - T IH0 K S +AEROBIC EH0 - R OW1 - B IH0 K +AEROBICALLY EH0 - R OW1 - B IH0 K - L IY0 +AEROBICS ER0 - OW1 - B IH0 K S +AERODROME EH1 - R AH0 - D R OW2 M +AERODYNAMIC EH2 - R OW0 - D AY0 - N AE1 - M IH0 K +AERODYNAMICALLY EH2 - R OW0 - D AY0 - N AE1 - M IH0 K - L IY0 +AERODYNAMICS EH2 - R OW0 - D AY0 - N AE1 - M IH0 K S +AERODYNE EH1 - R AH0 - D AY2 N +AEROFLOT EH1 - R OW0 - F L AA2 T +AEROJET EH1 - R OW0 - JH EH2 T +AEROLIFT EH1 - R OW0 - L IH2 F T +AEROLINEAS EH2 - R OW0 - L IH1 - N IY0 - AH0 S +AEROMEXICO EH2 - R OW0 - M EH1 K - S IH0 - K OW2 +AERONAUTIC EH2 - R OW0 - N AA1 - T AH0 K +AERONAUTICAL EH2 - R OW0 - N AA1 - T AH0 - K AH0 L +AERONAUTICAL(2) EH2 - R AH0 - N AA1 - T AH0 - K AH0 L +AERONAUTICAS EH2 - R OW0 - N AO1 - T IH0 - K AH0 S +AERONAUTICS EH2 - R AH0 - N AO1 - T IH0 K S +AEROQUIP EH1 - R AH0 - K W IH2 P +AEROSMITH EH1 - R OW0 - S M IH2 TH +AEROSMITH'S EH1 - R OW0 - S M IH2 TH S +AEROSOL EH1 - R AH0 - S AA2 L +AEROSOLS EH1 - R AH0 - S AA2 L Z +AEROSPACE EH1 - R OW0 - S P EY2 S +AEROSPACE'S EH1 - R OW0 - S P EY2 - S IH0 Z +AEROSPATIALE EH2 - R OW0 - S P AA2 - S IY0 - AA1 L +AEROSTAR EH1 - R OW0 - S T AA2 R +AEROSTARS EH1 - R OW0 - S T AA2 R Z +AEROSTAT EH1 - R OW0 - S T AE2 T +AEROSTATS EH1 - R OW0 - S T AE2 T S +AEROTECH EH1 - R OW0 - T EH2 K +AERTS EH1 R T S +AESCHLIMAN EH1 SH - L IY0 - M AH0 N +AESOP IY1 - S AA2 P +AESOP'S IY1 - S AA2 P S +AESTHETE EH1 S - TH IY0 T +AESTHETIC EH0 S - TH EH1 - T IH0 K +AESTHETICALLY EH0 S - TH EH1 - T IH0 K - L IY0 +AESTHETICS EH0 S - TH EH1 - T IH0 K S +AETNA EH1 T - N AH0 +AETNA'S EH1 T - N AH0 Z +AFANASYEV AE2 - F AH0 - N EY1 - S IY0 - EH0 V +AFAR AH0 - F AA1 R +AFFABLE AE1 - F AH0 - B AH0 L +AFFAIR AH0 - F EH1 R +AFFAIRS AH0 - F EH1 R Z +AFFECT AH0 - F EH1 K T +AFFECTATION AE2 - F EH0 K - T EY1 - SH AH0 N +AFFECTED AH0 - F EH1 K - T AH0 D +AFFECTED(2) AH0 - F EH1 K - T IH0 D +AFFECTING AH0 - F EH1 K - T IH0 NG +AFFECTION AH0 - F EH1 K - SH AH0 N +AFFECTIONATE AH0 - F EH1 K - SH AH0 N - AH0 T +AFFECTIONATE(2) AH0 - F EH1 K - SH AH0 - N IH0 T +AFFECTIONATELY AH0 - F EH1 K - SH AH0 N - AH0 T - L IY0 +AFFECTIONS AH0 - F EH1 K - SH AH0 N Z +AFFECTIVE AH0 - F EH1 K - T IH0 V +AFFECTIVELY AH0 - F EH1 K - T IH0 V - L IY0 +AFFECTS AH0 - F EH1 K T S +AFFELDT AE1 - F IH0 L T +AFFERENT AE1 - F ER0 - AH0 N T +AFFIANT AE1 - F IY0 - AH0 N T +AFFIDAVIT AE2 - F AH0 - D EY1 - V AH0 T +AFFIDAVITS AE2 - F IH0 - D EY1 - V IH0 T S +AFFILIATE AH0 - F IH1 - L IY0 - EY2 T +AFFILIATE'S AH0 - F IH1 - L IY0 - EY2 T S +AFFILIATE(2) AH0 - F IH1 - L IY0 - AH0 T +AFFILIATED AH0 - F IH1 - L IY0 - EY2 - T AH0 D +AFFILIATED'S AH0 - F IH1 - L IY0 - EY2 - T IH0 D Z +AFFILIATED(2) AH0 - F IH1 - L IY0 - EY2 - T IH0 D +AFFILIATES AH0 - F IH1 - L IY0 - AH0 T S +AFFILIATES' AH0 - F IH1 - L IY0 - IH0 T S +AFFILIATES(2) AH0 - F IH1 - L IY0 - EY2 T S +AFFILIATING AH0 - F IH1 - L IY0 - EY2 - T IH0 NG +AFFILIATION AH0 - F IH2 - L IY0 - EY1 - SH AH0 N +AFFILIATIONS AH0 - F IH2 - L IY0 - EY1 - SH AH0 N Z +AFFINITIES AH0 - F IH1 - N AH0 - T IY0 Z +AFFINITY AH0 - F IH1 - N AH0 - T IY0 +AFFINITY(2) AH0 - F IH1 - N IH0 - T IY0 +AFFIRM AH0 - F ER1 M +AFFIRMATION AE2 - F ER0 - M EY1 - SH AH0 N +AFFIRMATIONS AE2 - F ER0 - M EY1 - SH AH0 N Z +AFFIRMATIVE AH0 - F ER1 - M AH0 - T IH0 V +AFFIRMATIVELY AH0 - F ER1 - M AH0 - T IH0 V - L IY0 +AFFIRMED AH0 - F ER1 M D +AFFIRMING AH0 - F ER1 - M IH0 NG +AFFIRMS AH0 - F ER1 M Z +AFFIX AE1 - F IH0 K S +AFFIX(2) AH0 - F IH1 K S +AFFIXED AH0 - F IH1 K S T +AFFIXES AE1 - F IH0 K - S IH0 Z +AFFIXES(2) AH0 - F IH1 K - S IH0 Z +AFFIXING AH0 - F IH1 K - S IH0 NG +AFFLECK AE1 - F L IH0 K +AFFLERBACH AE1 F - L ER0 - B AA2 K +AFFLICT AH0 - F L IH1 K T +AFFLICTED AH0 - F L IH1 K - T AH0 D +AFFLICTED(2) AH0 - F L IH1 K - T IH0 D +AFFLICTING AH0 - F L IH1 K - T IH0 NG +AFFLICTION AH0 - F L IH1 K - SH AH0 N +AFFLICTIONS AH0 - F L IH1 K - SH AH0 N Z +AFFLICTS AH0 - F L IH1 K T S +AFFLIK AE2 - F L IH1 K +AFFLUENCE AE1 - F L UW0 - AH0 N S +AFFLUENT AE1 - F L UW0 - AH0 N T +AFFOLTER AE1 - F OW0 L - T ER0 +AFFORD AH0 - F AO1 R D +AFFORDABILITY AH0 - F AO2 R - D AH0 - B IH1 - L AH0 - T IY0 +AFFORDABLE AH0 - F AO1 R - D AH0 - B AH0 L +AFFORDED AH0 - F AO1 R - D AH0 D +AFFORDING AH0 - F AO1 R - D IH0 NG +AFFORDS AH0 - F AO1 R D Z +AFFRICATE AE1 - F R AH0 - K AH0 T +AFFRICATES AE1 - F R AH0 - K AH0 T S +AFFRICATION AE2 - F R AH0 - K EY1 - SH AH0 N +AFFRONT AH0 - F R AH1 N T +AFFRONTED AH0 - F R AH1 N - T IH0 D +AFFRONTS AH0 - F R AH1 N T S +AFFYMAX AE1 - F IY0 - M AE2 K S +AFGHAN AE1 F - G AE2 N +AFGHANI AE0 F - G AA1 - N IY0 +AFGHANI'S AE0 F - G AE1 - N IY0 Z +AFGHANIS AE0 F - G AE1 - N IY0 Z +AFGHANISTAN AE0 F - G AE1 - N AH0 - S T AE2 N +AFGHANISTAN'S AE0 F - G AE1 - N AH0 - S T AE2 N Z +AFGHANS AE1 F - G AE2 N Z +AFHELDT AE1 - F EH2 L T +AFICIONADO AH0 - F IY2 - SH Y AH0 - N AA1 - D OW2 +AFICIONADOS AH0 - F IH2 - SH AH0 - N AA1 - D OW0 Z +AFIELD AH0 - F IY1 L D +AFIRE AH0 - F AY1 R +AFLAME AH0 - F L EY1 M +AFLATOXIN AE2 - F L AH0 - T AA1 K - S IH0 N +AFLOAT AH0 - F L OW1 T +AFLUTTER AH0 - F L AH1 - T ER0 +AFMED AE1 F - M EH0 D +AFONSO AH0 - F AA1 N - S OW0 +AFOOT AH0 - F UH1 T +AFOREMENTIONED AH0 - F AO1 R - M EH2 N - SH AH0 N D +AFORESAID AH0 - F AO1 R - S EH2 D +AFORETHOUGHT AH0 - F AO1 R - TH AA2 T +AFOUL AH0 - F AW1 L +AFRAID AH0 - F R EY1 D +AFRESH AH0 - F R EH1 SH +AFRICA AE1 - F R AH0 - K AH0 +AFRICA'S AE1 - F R AH0 - K AH0 Z +AFRICA'S(2) AE1 - F R IH0 - K AH0 Z +AFRICA(2) AE1 - F R IH0 - K AH0 +AFRICA(3) AE1 - F ER0 - K AH0 +AFRICAN AE1 - F R AH0 - K AH0 N +AFRICAN(2) AE1 - F R IH0 - K AH0 N +AFRICANIST AE1 - F R IH0 - K AH0 - N IH0 S T +AFRICANIZE AE1 - F R AH0 - K AH0 - N AY2 Z +AFRICANIZED AE1 - F R AH0 - K AH0 - N AY2 Z D +AFRICANS AE1 - F R AH0 - K AH0 N Z +AFRICANS(2) AE1 - F R IH0 - K AH0 N Z +AFRIKAANS AE2 - F R AH0 - K AA1 N Z +AFRIKANER AE2 - F R AH0 - K AA1 - N ER0 +AFRIKANERDOM AE2 - F R AH0 - K AA1 - N ER0 - D AH0 M +AFRIKANERS AE2 - F R IH0 - K AA1 - N ER0 Z +AFRO AE1 - F R OW0 +AFSANE AA0 F - S AA1 - N EY2 +AFSANE'S AA0 F - S AA1 - N EY2 Z +AFSHAR AE1 F - SH ER0 +AFT AE1 F T +AFTER AE1 F - T ER0 +AFTERALL AE1 F - T ER0 - AA2 L +AFTERBURNER AE1 F - T ER0 - B ER2 - N ER0 +AFTERBURNERS AE1 F - T ER0 - B ER2 - N ER0 Z +AFTEREFFECT AE1 F - T ER0 - AH0 - F EH2 K T +AFTEREFFECTS AE1 F - T ER0 - AH0 - F EH2 K T S +AFTERGLOW AE1 F - T ER0 - G L OW2 +AFTERIMAGE AE1 F - T ER0 - IH2 - M IH0 JH +AFTERLIFE AE1 F - T ER0 - L AY2 F +AFTERMARKET AE1 F - T ER0 - M AA2 R - K IH0 T +AFTERMATH AE1 F - T ER0 - M AE2 TH +AFTERNOON AE2 F - T ER0 - N UW1 N +AFTERNOON'S AE2 F - T ER0 - N UW1 N Z +AFTERNOONS AE2 F - T ER0 - N UW1 N Z +AFTERSHOCK AE1 F - T ER0 - SH AA2 K +AFTERSHOCKS AE1 F - T ER0 - SH AA2 K S +AFTERTASTE AE1 F - T ER0 - T EY2 S T +AFTERTAX AE1 F - T ER0 - T AE2 K S +AFTERTHOUGHT AE1 F - T ER0 - TH AA2 T +AFTERTHOUGHT(2) AE1 F - T ER0 - TH AO2 T +AFTERWARD AE1 F - T ER0 - W ER0 D +AFTERWARDS AE1 F - T ER0 - W ER0 D Z +AFULA AH0 - F UW1 - L AH0 +AFULA'S AH0 - F UW1 - L AH0 Z +AG AE1 G +AGA AA1 - G AH0 +AGACHE AE1 - G AE0 CH +AGAIN AH0 - G EH1 N +AGAIN(2) AH0 - G EY1 N +AGAINST AH0 - G EH1 N S T +AGAMEMNON AE2 - G AH0 - M EH1 M - N AA2 N +AGAMEMNON'S AE2 - G AH0 - M EH1 M - N AA2 N Z +AGAN EY1 - G AH0 N +AGANBEGYAN AE2 - G AH0 N - B EH1 - G Y AH0 N +AGANS AA1 - G AA0 N Z +AGAPE AH0 - G EY1 P +AGAR EY1 - G ER0 +AGARD AE1 - G ER0 D +AGARWAL AA1 - G AA0 R - W AA0 L +AGASSI AE1 - G AH0 - S IY0 +AGASSIZ AH0 - G AE1 - S IH0 Z +AGATE AE1 - G AH0 T +AGATES AE1 - G AH0 T S +AGATHA AE1 - G AH0 - TH AH0 +AGCO AE1 G - K OW2 +AGE EY1 JH +AGE'S EY1 - JH IH0 Z +AGED EY1 JH D +AGED(2) EY1 - JH IH0 D +AGEE EY1 - JH IY1 +AGEE'S EY1 - JH IY0 Z +AGELESS EY1 JH - L AH0 S +AGENCE AE1 - JH AH0 N S +AGENCIES EY1 - JH AH0 N - S IY0 Z +AGENCIES' EY1 - JH AH0 N - S IY0 Z +AGENCY EY1 - JH AH0 N - S IY0 +AGENCY'S EY1 - JH AH0 N - S IY0 Z +AGENDA AH0 - JH EH1 N - D AH0 +AGENDAS AH0 - JH EH1 N - D AH0 Z +AGENT EY1 - JH AH0 N T +AGENT'S EY1 - JH AH0 N T S +AGENTS EY1 - JH AH0 N T S +AGENTS' EY1 - JH AH0 N T S +AGER EY1 - JH ER0 +AGERATUM AH0 - JH EH1 - R AH0 - T AH0 M +AGERATUMS AH0 - JH EH1 - R AH0 - T AH0 M Z +AGERS EY1 - JH ER0 Z +AGERS' EY1 - JH ER0 Z +AGERTON EY1 - G ER0 - T AH0 N +AGES EY1 - JH AH0 Z +AGES(2) EY1 - JH IH0 Z +AGFA AE1 G - F AH0 +AGGARWAL AH0 - G AA1 R - W AH0 L +AGGIE AE1 - G IY0 +AGGIES AE1 - G IY0 Z +AGGLOMERATE AH0 - G L AA1 - M ER0 - EY2 T +AGGLOMERATION AH0 - G L AA2 - M ER0 - EY1 - SH AH0 N +AGGLUTINATE AH0 - G L UW1 - T IH0 - N EY2 T +AGGRANDIZE AH0 - G R AE1 N - D AY2 Z +AGGRANDIZEMENT AE1 - G R AH0 N - D AY2 Z - M AH0 N T +AGGRANDIZEMENT(2) AH0 - G R AE1 N - D AY2 Z - M AH0 N T +AGGRANDIZING AE1 - G R AH0 N - D AY2 - Z IH0 NG +AGGRANDIZING(2) AH0 - G R AE1 N - D AY2 - Z IH0 NG +AGGRAVATE AE1 - G R AH0 - V EY2 T +AGGRAVATED AE1 - G R AH0 - V EY2 - T AH0 D +AGGRAVATED(2) AE1 - G R AH0 - V EY2 - T IH0 D +AGGRAVATES AE1 - G R AH0 - V EY2 T S +AGGRAVATING AE1 - G R AH0 - V EY2 - T IH0 NG +AGGRAVATION AE2 - G R AH0 - V EY1 - SH AH0 N +AGGREGATE AE1 - G R AH0 - G AH0 T +AGGREGATE(2) AE1 - G R AH0 - G IH0 T +AGGREGATE(3) AE1 - G R AH0 - G EY0 T +AGGREGATED AE1 - G R AH0 - G EY2 - T AH0 D +AGGREGATES AE1 - G R AH0 - G IH0 T S +AGGREGATES(2) AE1 - G R AH0 - G EY0 T S +AGGRESS AH0 - G R EH1 S +AGGRESSION AH0 - G R EH1 - SH AH0 N +AGGRESSIONS AH0 - G R EH1 - SH AH0 N Z +AGGRESSIVE AH0 - G R EH1 - S IH0 V +AGGRESSIVELY AH0 - G R EH1 - S IH0 V - L IY0 +AGGRESSIVENESS AH0 - G R EH1 - S IH0 V - N AH0 S +AGGRESSIVITY AH0 - G R EH0 - S IH1 - V IH0 - T IY0 +AGGRESSOR AH0 - G R EH1 - S ER0 +AGGRESSORS AH0 - G R EH1 - S ER0 Z +AGGREY AE0 - G R EY1 +AGGRIEVE AH0 - G R IY1 V +AGGRIEVED AH0 - G R IY1 V D +AGGY AE1 - G IY0 +AGHAST AH0 - G AE1 S T +AGHAZADEH AE2 - G AH0 - Z AA1 - D EH2 +AGIE AE1 - G IY0 +AGILDO AH0 - G IH1 L - D OW0 +AGILE AE1 - JH AH0 L +AGILIS AH0 - JH IH1 - L AH0 S +AGILITY AH0 - JH IH1 - L AH0 - T IY0 +AGIN AA0 - JH IY1 N +AGINCOURT AE1 - JH AH0 N - K AO2 R T +AGING EY1 - JH IH0 NG +AGINS EY1 - G IH0 N Z +AGIP EY1 - G IH0 P +AGITATE AE1 - JH AH0 - T EY2 T +AGITATED AE1 - JH AH0 - T EY2 - T AH0 D +AGITATING AE1 - JH AH0 - T EY2 - T IH0 NG +AGITATION AE2 - JH AH0 - T EY1 - SH AH0 N +AGITATOR AE1 - JH AH0 - T EY2 - T ER0 +AGITATORS AE1 - JH IH0 - T EY2 - T ER0 Z +AGIUS EY1 - JH IY0 - IH0 S +AGLEAM AH0 G - L IY1 M +AGLER AE1 - G L ER0 +AGLITTER AH0 - G L IH1 - T ER0 +AGLO AH0 - G L OW1 +AGLOW AH0 - G L OW1 +AGNA AE1 G - N AH0 +AGNE EY1 N Y +AGNELLA AE2 G - N EH1 - L AH0 +AGNELLI AE1 G - N EH2 - L IY0 +AGNELLO AE2 G - N EH1 - L OW0 +AGNER AE1 G - N ER0 +AGNES AE1 G - N IH0 S +AGNETA AA0 G - N EH1 - T AH0 +AGNEW AE1 G - N UW0 +AGNEW(2) AE1 G - N Y UW0 +AGNICO AE1 G - N IH0 - K OW2 +AGNOR AE1 G - N ER0 +AGNOS AE1 G - N OW0 S +AGNOSIO AE0 G - N OW1 - S IY0 - OW0 +AGNOSTIC AE0 G - N AA1 - S T IH0 K +AGO AH0 - G OW1 +AGOG AH0 - G AA1 G +AGOGLIA AH0 - G AA1 - G L IY0 - AH0 +AGONIES AE1 - G AH0 - N IY0 Z +AGONIST AE1 - G AH0 - N IH0 S T +AGONISTS AE1 - G AH0 - N IH0 S T S +AGONISTS(2) AE1 - G AH0 - N IH0 S S +AGONISTS(3) AE1 - G AH0 - N IH0 S +AGONIZE AE1 - G AH0 - N AY2 Z +AGONIZED AE1 - G AH0 - N AY2 Z D +AGONIZES AE1 - G AH0 - N AY2 - Z IH0 Z +AGONIZING AE1 - G AH0 - N AY0 - Z IH0 NG +AGONIZINGLY AE1 - G AH0 - N AY0 - Z IH0 NG - L IY0 +AGONY AE1 - G AH0 - N IY0 +AGORA AE1 - G ER0 - AH0 +AGOSTA AA0 - G OW1 - S T AH0 +AGOSTINELLI AA0 - G OW0 - S T IY0 N - EH1 - L IY0 +AGOSTINI AA0 - G OW0 - S T IY1 - N IY0 +AGOSTINO AA0 - G AO0 - S T IY1 - N OW0 +AGOSTO AA0 - G OW1 - S T OW0 +AGOURA AH0 - G UW1 - R AH0 +AGOURON AH0 - G UW1 - R AA0 N +AGRA AE1 - G R AH0 +AGRARIAN AH0 - G R EH1 - R IY0 - AH0 N +AGRARIANISM AH0 - G R EH1 - R IY0 - AH0 - N IH2 - Z AH0 M +AGRAWAL AH0 - G R AE1 - W AH0 L +AGREE AH0 - G R IY1 +AGREEABLE AH0 - G R IY1 - AH0 - B AH0 L +AGREED AH0 - G R IY1 D +AGREEING AH0 - G R IY1 - IH0 NG +AGREEMENT AH0 - G R IY1 - M AH0 N T +AGREEMENT'S AH0 - G R IY1 - M AH0 N T S +AGREEMENTS AH0 - G R IY1 - M AH0 N T S +AGREES AH0 - G R IY1 Z +AGRESOURCE AA1 - G R EH0 - S AO2 R S +AGRESOURCE(2) AE1 - G R AH0 - S AO2 R S +AGRESTA AA0 - G R EH1 - S T AH0 +AGRESTI AA0 - G R EH1 - S T IY0 +AGREXCO AA0 - G R EH1 K - S K OW0 +AGRI AE1 - G R IY0 +AGRIBUSINESS AE1 - G R AH0 - B IH2 Z - N AH0 S +AGRICO AH0 - G R IY1 - K OW0 +AGRICOLA AE2 - G R IH0 - K OW1 - L AH0 +AGRICOLE AE1 - G R IH0 - K OW2 L +AGRICULTURAL AE2 - G R AH0 - K AH1 L - CH ER0 - AH0 L +AGRICULTURAL(2) AE2 - G R IH0 - K AH1 L - CH ER0 - AH0 L +AGRICULTURALIST AE2 - G R AH0 - K AH1 L - CH ER0 - AH0 - L AH0 S T +AGRICULTURALLY AE2 - G R IH0 - K AH1 L - CH ER0 - AH0 - L IY0 +AGRICULTURALLY(2) AE2 - G R IH0 - K AH1 L - CH R AH0 - L IY0 +AGRICULTURE AE1 - G R IH0 - K AH2 L - CH ER0 +AGRICULTURE'S AE1 - G R IH0 - K AH2 L - CH ER0 Z +AGRIFUEL AE1 - G R AH0 - F Y UW2 L +AGRIFUELS AE1 - G R AH0 - F Y UW2 L Z +AGRIPPA AH0 - G R IH1 - P AH0 +AGRIVISOR AE1 - G R AH0 - V AY2 - Z ER0 +AGRO AE1 - G R OW0 +AGROCHEMICAL AE2 - G R OW0 - K EH1 - M AH0 - K AH0 L +AGROCHEMICALS AE2 - G R OW0 - K EH1 - M IH0 - K AH0 L Z +AGROKOMERC AE1 - G R AH0 - K OW0 - M ER2 K +AGRONOMIST AH0 - G R AA1 - N AH0 - M IH0 S T +AGRONOMISTS AH0 - G R AA1 - N AH0 - M IH0 S T S +AGRONOMISTS(2) AH0 - G R AA1 - N AH0 - M IH0 S S +AGRONOMISTS(3) AH0 - G R AA1 - N AH0 - M IH0 S +AGROSIAND AH0 - G R OW1 - S IY0 - AH0 N D +AGROUND AH0 - G R AW1 N D +AGRUSA AA0 - G R UW1 - S AH0 +AGUA AA1 - G W AH0 +AGUACATE AE1 - G W AH0 - K EY2 T +AGUADO AA0 - G W AA1 - D OW0 +AGUAYO AA0 - G W EY1 - OW0 +AGUDELO AA0 - G UW0 - D EY1 - L OW0 +AGUERO AA0 - G EH1 - R OW0 +AGUIAR AA1 - G W IY0 - ER0 +AGUILA AA0 - G W IY1 - L AH0 +AGUILAR AE1 - G AH0 - L AA0 R +AGUILERA AA0 - G W IY0 - L EH1 - R AH0 +AGUILLAR AE1 - G AH0 - L AA0 R +AGUILLARD AE1 - G IH0 - L ER0 D +AGUILLON AA0 G - W IY0 - L AO1 N +AGUINAGA AA0 - G UW0 - IY0 - N AA1 - G AH0 +AGUIRRA AH0 - G W IH1 - R AH0 +AGUIRRA'S AH0 - G W IH1 - R AH0 Z +AGUIRRE AA0 - G W IH1 - R EY0 +AGUIRRE'S AA0 - G W IH1 - R EY0 Z +AGUIRRE'S(2) AH0 - G W IH1 - R EY0 Z +AGUIRRE(2) AH0 - G W IH1 - R EY0 +AGUSTIN AH0 - G AO1 - S T IH0 N +AH AA1 +AHA AA2 - HH AA1 +AHAB EY1 - HH AE2 B +AHAH AA1 - HH AA0 +AHARON AE1 - HH ER0 - AA0 N +AHART AH0 - HH AA1 R T +AHAULSIE AH0 - HH AA1 L - S IY0 +AHEAD AH0 - HH EH1 D +AHEARN AH0 - HH ER1 N +AHERIN AA1 - ER0 - IH0 N +AHERN AH0 - HH ER1 N +AHERNE AH0 - HH ER1 N +AHH AA1 +AHL AA1 L +AHLBERG AA1 L - B ER0 G +AHLBORN AA1 L - B ER0 N +AHLEN AH0 - L EY1 N +AHLEN(2) AA1 - L AH0 N +AHLERS AA1 - L ER0 Z +AHLES EY1 - AH0 L Z +AHLF AA1 L F +AHLGREN AA1 L - G R EH0 N +AHLGRIM AA1 L - G R IH0 M +AHLIN AA1 - L IH0 N +AHLMAN AA1 L - M AH0 N +AHLQUIST AA1 L - K W IH2 S T +AHLSTRAND AA1 L - S T R AH0 N D +AHLSTROM AA1 L - S T R AH0 M +AHMAD AA1 - M AA0 D +AHMADI AA0 - M AA1 - D IY0 +AHMANN AA1 - M AH0 N +AHMANSON AA1 - M AH0 N - S AH0 N +AHMED AA1 - M AH0 D +AHMED(2) AA1 - M EH0 D +AHMOUDI AA0 - M UW1 - D IY0 +AHN AE1 N +AHNER AA1 - N ER0 +AHO AA1 - HH OW0 +AHOLA AE1 - HH AH0 - L AH0 +AHOLD AH0 - HH OW1 L D +AHONEN AH0 - HH OW1 - N AH0 N +AHR AA1 R +AHRANAT AH0 - R AA1 - N AH0 T +AHREN AA1 - R AH0 N +AHRENDT AA1 - R IH0 N T +AHRENS AA1 - R IH0 N Z +AHS AA1 Z +AHUJA AA0 - HH UW1 - Y AH0 +AHUMADA AA0 - Y UW0 - M AA1 - D AH0 +AI AY1 +AI(2) EY1 - AY1 +AICHELE AY1 - K AH0 L +AICHER AY1 - K ER0 +AICHI AA0 - IY1 - CH IY0 +AICKIN EY1 - K IH0 N +AID EY1 D +AID'S EY1 D Z +AIDA AY0 - IY1 - D AH0 +AIDAN AA0 - IY1 - D AA0 N +AIDE EY1 D +AIDE'S EY1 D Z +AIDED EY1 - D AH0 D +AIDED(2) EY1 - D IH0 D +AIDES EY1 D Z +AIDES' EY1 D Z +AIDID AY2 - D IY1 D +AIDID'S AY2 - D IY1 D Z +AIDING EY1 - D IH0 NG +AIDS EY1 D Z +AIELLO AY2 - EH1 - L OW0 +AIGNER EY1 - N ER0 +AIGNER(2) EH0 - N Y EY1 +AIGNER(3) EY1 K - N ER0 +AIGUEBELLE AY1 - G AH0 - B EH2 L +AIKEN EY1 - K IH0 N +AIKENS EY1 - K IH0 N Z +AIKEY EY1 - K IY0 +AIKIN EY0 - K IH0 N +AIKINS AY1 - K IH0 N Z +AIKMAN EY1 K - M AH0 N +AIL EY1 L +AILEE EY1 - L IY1 +AILEEN AY0 - L IY1 N +AILERON EY1 - L ER0 - AA2 N +AILERONS EY1 - L ER0 - AA2 N Z +AILES AY1 L Z +AILES(2) EY1 L Z +AILEY EY1 - L IY0 +AILING EY1 - L IH0 NG +AILMENT EY1 L - M AH0 N T +AILMENTS EY1 L - M AH0 N T S +AILOR EY1 - L ER0 +AILS EY1 L Z +AILSA EY1 L - S AH0 +AIM EY1 M +AIME EY1 M +AIMED EY1 M D +AIMEE EY1 - M IY1 +AIMING EY1 - M IH0 NG +AIMLESS EY1 M - L AH0 S +AIMLESSLY EY1 M - L AH0 S - L IY0 +AIMONE EY1 - M OW2 N +AIMS EY1 M Z +AIN'T EY1 N T +AINE EY1 N +AINGE EY1 NG +AINGE(2) EY1 N JH +AINLEY EY1 N - L IY0 +AINSBERG EY1 N Z - B ER0 G +AINSLEY EY1 N S - L IY0 +AINSLIE EY1 N Z - L IY0 +AINSWORTH EY1 N - S W ER0 TH +AINSWORTH'S EY1 N Z - W ER0 TH S +AIPAC AY1 - P AE2 K +AIPAC'S AY1 - P AE2 K S +AIR EH1 R +AIR'S EH1 R Z +AIRBAG EH1 R - B AE2 G +AIRBAGS EH1 R - B AE2 G Z +AIRBASE EH1 R - B EY2 S +AIRBASES EH1 R - B EY2 - S IH0 S +AIRBOAT EH1 R - B OW0 T +AIRBOATS EH1 R - B OW0 T S +AIRBORNE EH1 R - B AO2 R N +AIRBORNE'S EH1 R - B AO2 R N Z +AIRBUS EH1 R - B AH0 S +AIRBUS'S EH1 R - B AH0 - S IH0 Z +AIRCAL EH1 R - K AA0 L +AIRCAL'S EH1 R - K AE2 L Z +AIRCO EH1 R - K OW0 +AIRCOA EH2 R - K OW1 - AH0 +AIRCRAFT EH1 R - K R AE2 F T +AIRCRAFT'S EH1 R - K R AE2 F T S +AIRCRAFT'S(2) EH1 R - K R AE2 F S +AIRCRAFTS EH1 R - K R AE2 F T S +AIRCRAFTS(2) EH1 R - K R AE2 F S +AIRCREW EH1 R - K R UW2 +AIRD EH1 R D +AIRDROP EH1 R - D R AA0 P +AIRDROPS EH1 R - D R AA0 P S +AIRED EH1 R D +AIREDALE EH1 R - D EY2 L +AIRES EH1 - R IY0 Z +AIREY EH1 - R IY0 +AIRFARE EH1 R - F EH2 R +AIRFARES EH1 R - F EH2 R Z +AIRFIELD EH1 R - F IY2 L D +AIRFIELDS EH1 R - F IY2 L D Z +AIRFLOW EH1 R - F L OW0 +AIRFOIL EH1 R - F OY2 L +AIRFOILS EH1 R - F OY2 L Z +AIRFONE EH1 R - F OW2 N +AIRFORCE EH1 R - F AO0 R S +AIRFRAME EH1 R - F R EY2 M +AIRFREIGHT EH1 R - F R EY2 T +AIRGAS EH1 R - G AE2 S +AIRGLOW EH1 R - G L OW2 +AIRHART EH1 R - HH AA0 R T +AIRHEAD EH1 R - HH EH2 D +AIRING EH1 - R IH0 NG +AIRINGTON EH1 - R IH0 NG - T AH0 N +AIRLESS EH1 R - L AH0 S +AIRLIA EH1 R - L IY0 - AH0 +AIRLIE EH1 R - L IY0 +AIRLIFT EH1 R - L IH2 F T +AIRLIFTED EH1 R - L IH2 F - T IH0 D +AIRLIFTING EH1 R - L IH2 F - T IH0 NG +AIRLIFTS EH1 R - L IH2 F T S +AIRLINE EH1 R - L AY2 N +AIRLINE'S EH1 R - L AY2 N Z +AIRLINER EH1 R - L AY2 - N ER0 +AIRLINER'S EH1 R - L AY2 - N ER0 Z +AIRLINERS EH1 R - L AY2 - N ER0 Z +AIRLINES EH1 R - L AY2 N Z +AIRLINES' EH1 R - L AY2 N Z +AIRLINK EH1 R - L IH2 NG K +AIRLOCK EH1 R - L AO2 K +AIRMAIL EH1 R - M EY2 L +AIRMAN EH1 R - M AH0 N +AIRMAN'S EH1 R - M AH0 N Z +AIRMEN EH1 R - M EH2 N +AIRMOTIVE EH2 R - M OW1 - T IH0 V +AIRPLANE EH1 R - P L EY2 N +AIRPLANE'S EH1 R - P L EY0 N Z +AIRPLANES EH1 R - P L EY0 N Z +AIRPORT EH1 R - P AO2 R T +AIRPORT'S EH1 R - P AO2 R T S +AIRPORTS EH1 R - P AO2 R T S +AIRPOWER EH1 R - P AW2 - ER0 +AIRS EH1 R Z +AIRSHIP EH1 R - SH IH2 P +AIRSHIPS EH1 R - SH IH2 P S +AIRSPACE EH1 R - S P EY2 S +AIRSPEED EH1 R - S P IY2 D +AIRSTRIKE EH1 R - S T R AY2 K +AIRSTRIKES EH1 R - S T R AY2 K S +AIRSTRIP EH1 R - S T R IH2 P +AIRSTRIPS EH1 R - S T R IH2 P S +AIRTIGHT EH1 R - T AY2 T +AIRTIME EH1 R - T AY2 M +AIRTOUCH EH1 R - T AH2 CH +AIRTRAN EH1 R - T R AE2 N +AIRWAVE EH1 R - W EY2 V +AIRWAVES EH1 R - W EY2 V Z +AIRWAY EH1 R - W EY2 +AIRWAY'S EH1 R - W EY2 Z +AIRWAYS EH1 R - W EY2 Z +AIRWAYS' EH1 R - W EY2 Z +AIRWING EH1 R - W IH0 NG +AIRWORTHINESS EH1 R - W ER2 - DH IY0 - N AH0 S +AIRWORTHY EH1 R - W ER2 - DH IY0 +AIRY EH1 - R IY0 +AIR_FORCE EH1 R - F AO0 R S +AIS AY1 Z +AISA AY0 - IY1 - S AH0 +AISLE AY1 L +AISLE(2) AY1 - AH0 L +AISLES AY1 L Z +AISLES(2) AY1 - AH0 L Z +AISLINN EY1 S - L IH0 N +AITCHISON EY1 - CH IH0 - S AH0 N +AITHNE EY1 TH N +AITKEN AY1 T - K AH0 N +AITON AA0 - IY1 - T OW0 N +AIWA AY1 - W AH0 +AIX-LA-CHAPELLE AY1 K - S L AA2 - SH AH0 - P EH1 L +AJA AY1 - AH0 +AJAJ AH0 - JH AA1 JH +AJAJ'S AH0 - JH AA1 - JH IH0 Z +AJAMI EY2 - JH AA1 - M IY0 +AJAR AH0 - JH AA1 R +AJAX EY1 - JH AE2 K S +AJAX'S EY1 - JH AE2 K - S AH0 Z +AJAX'S(2) EY1 - JH AE2 K - S IH0 Z +AJINOMOTO AH0 - JH IH2 - N AH0 - M OW1 - T OW0 +AJITO AH0 - JH IY1 - T OW0 +AJITO(2) AH0 - HH IY1 - T OW0 +AKA AA1 - K AH0 +AKA(2) EY1 - K EY1 - EY1 +AKAI AH0 - K AY1 +AKAKA AH0 - K AA1 - K AH0 +AKALI AH0 - K AA1 - L IY0 +AKAMINE AE1 - K AH0 - M AY2 N +AKANA AA0 - K AA1 - N AH0 +AKARD AE1 - K ER0 D +AKASHI AH0 - K AA1 - SH IY0 +AKASHI'S AH0 - K AA1 - SH IY0 Z +AKBAR AE1 K - B ER0 +AKBAR(2) AA1 K - B AA2 R +AKC AE1 K +AKE EY1 K +AKEBONO AE2 - K IY0 - B OW1 - N OW0 +AKEL AH0 - K EH1 L +AKELLA AH0 - K EH1 - L AH0 +AKEN EY1 - K AH0 N +AKENS EY1 - K AH0 N Z +AKER AE1 - K ER0 +AKER(2) EY1 - K ER0 +AKERLEY AH0 - K ER1 - L IY0 +AKERMAN AE1 - K ER0 - M AH0 N +AKERS EY1 - K ER0 Z +AKERS'S EY1 - K ER0 - Z IH0 Z +AKERSON AE1 - K ER0 - S AH0 N +AKEY AH0 - K IY1 +AKHTAR AE1 K - T ER0 +AKI AA1 - K IY0 +AKIBA AH0 - K IY1 - B AH0 +AKIHITO AA2 - K IY0 - HH IY1 - T OW2 +AKIMBO AH0 - K IH1 M - B OW2 +AKIN AH0 - K IH1 N +AKINS AH0 - K IH1 N Z +AKIO AA1 - K IY0 - OW0 +AKIRA AH0 - K IY1 - R AH0 +AKITA AH0 - K IY1 - T AH0 +AKITA'S AH0 - K IY1 - T AH0 Z +AKIVA AH0 - K IY1 - V AH0 +AKIYAMA AA0 - K IY0 - Y AA1 - M AH0 +AKKADIAN AH0 - K EY1 - D IY0 - AH0 N +AKKERMAN AE1 - K ER0 - M AH0 N +AKRE AE1 - K ER0 +AKRIDGE AH0 - K R IH1 JH +AKRON AE1 - K R AH0 N +AKSAMIT AE1 K - S AH0 - M IH0 T +AKSLER AE1 K - S L ER0 +AKST AE1 K S T +AKYANAMA AE2 - K AH0 - Y AA1 - N AH0 - M AH0 +AKZO AE1 K - Z OW0 +AL AE1 L +AL'S AE1 L Z +AL. AE1 L +AL.(2) AE2 - L AH0 - B AE1 - M AH0 +ALA EY1 - L AH0 +ALABAMA AE2 - L AH0 - B AE1 - M AH0 +ALABAMA'S AE2 - L AH0 - B AE1 - M AH0 Z +ALABAMAN AE2 - L AH0 - B AE1 - M AH0 N +ALABAMANS AE2 - L AH0 - B AE1 - M AH0 N Z +ALABASTER AE1 - L AH0 - B AE2 - S T ER0 +ALACHLOR AH0 - L AE1 K - L ER0 +ALACHUA AH0 - L AE1 - CH UW0 - AH0 +ALACRITY AH0 - L AE1 - K R AH0 - T IY0 +ALADDIN AH0 - L AE1 - D IH0 N +ALAFI AH0 - L AA1 - F IY0 +ALAGEM AE1 - L AH0 - JH EH0 M +ALAGNA AA0 - L AA1 G - N AH0 +ALAGOAS AE1 - L AH0 - G OW2 Z +ALAI AH0 - L AY1 +ALAIMO AH0 - L EY1 - M OW0 +ALAIN AH0 - L EY1 N +ALAINE AH0 - L EY1 N +ALAIR AH0 - L EH1 R +ALAM AH0 - L AE1 M +ALAMCO AH0 - L AE1 M - K OW0 +ALAMEDA AE2 - L AH0 - M IY1 - D AH0 +ALAMEIN AE1 - L AH0 - M AY2 N +ALAMILLO AE2 - L AH0 - M IH1 - L OW0 +ALAMITO AE2 - L AH0 - M IY1 - T OW0 +ALAMITOS AE2 - L AH0 - M IY1 - T OW0 S +ALAMO AE1 - L AH0 - M OW0 +ALAMOS AE1 - L AH0 - M OW0 Z +ALAMOUDI AA2 - L AA0 - M UW1 - D IY0 +ALAMOUDI(2) AE2 - L AA0 - M UW1 - D IY0 +ALAN AE1 - L AH0 N +ALAN'S AE1 - L AH0 N Z +ALANA AA0 - L AE1 - N AH0 +ALAND AE1 - L AH0 N D +ALANE AH0 - L EY1 N +ALANIS AA0 - L AA1 - N IH0 S +ALANIZ AE1 - L AH0 - N IH0 Z +ALANN AE1 - L AE0 N +ALANNA AA0 - L AA1 - N AH0 +ALAR EY1 - L AA2 R +ALARCON AH0 - L AA1 R - K AA2 N +ALARD AH0 - L AA1 R D +ALARIC AE1 - L ER0 - IH0 K +ALARICA AA0 - L AA0 - R IY1 - K AH0 +ALARICE AA0 - L AA1 - R IH0 S +ALARID AH0 - L EH1 - R IH0 D +ALARIE AH0 - L EH1 - R IY0 +ALARM AH0 - L AA1 R M +ALARM'S AH0 - L AA1 R M Z +ALARMED AH0 - L AA1 R M D +ALARMING AH0 - L AA1 R - M IH0 NG +ALARMINGLY AH0 - L AA1 R - M IH0 NG - L IY0 +ALARMIST AH0 - L AA1 R - M AH0 S T +ALARMIST(2) AH0 - L AA1 R - M IH0 S T +ALARMS AH0 - L AA1 R M Z +ALAS AH0 - L AE1 S +ALASKA AH0 - L AE1 S - K AH0 +ALASKA'S AH0 - L AE1 S - K AH0 Z +ALASKAMEN AH0 - L AE1 S - K AH0 - M AH0 N +ALASKAN AH0 - L AE1 S - K AH0 N +ALASKANS AH0 - L AE1 S - K AH0 N Z +ALASTAIR AE1 - L AH0 - S T EH2 R +ALASTER AE1 - L AH0 - S T ER0 +ALATORRE AA0 - L AA0 - T AO1 - R IY0 +ALAYNE AH0 - L EY1 N +ALBA AE1 L - B AH0 +ALBACH AE1 L - B AA0 K +ALBACORE AE1 L - B AH0 - K AO2 R +ALBAN AA1 L - B AH0 N +ALBANESE AA0 L - B AA0 - N EY1 - Z IY0 +ALBANI AE0 L - B AA1 - N IY0 +ALBANI'S AE0 L - B AA1 - N IY0 Z +ALBANIA AE0 L - B EY1 - N IY0 - AH0 +ALBANIA'S AE0 L - B EY1 - N IY0 - AH0 Z +ALBANIAN AE0 L - B EY1 - N IY0 - AH0 N +ALBANIANS AE0 L - B EY1 - N IY0 - AH0 N Z +ALBANO AA0 L - B AA1 - N OW0 +ALBANS AE1 L - B AE0 N Z +ALBANY AO1 L - B AH0 - N IY0 +ALBANY'S AO1 L - B AH0 - N IY0 Z +ALBARADO AA0 L - B AA0 - R AA1 - D OW0 +ALBARRAN AE2 L - B AE1 - R AH0 N +ALBATROSS AE1 L - B AH0 - T R AA2 S +ALBATROSSES AE1 L - B AH0 - T R AA2 - S IH0 Z +ALBAUGH AH0 L - B AO1 +ALBEA AE1 L - B IY0 - AH0 +ALBEE AH0 L - B IY1 +ALBEIT AO0 L - B IY1 - IH0 T +ALBEMARLE AE1 L - B AH0 - M AA2 R L +ALBEN AO1 L - B AH0 N +ALBER AE1 L - B ER0 +ALBERDING AE1 L - B ER0 - D IH0 NG +ALBERG AE1 L - B ER0 G +ALBERGO AA0 L - B EH1 R - G OW0 +ALBERICO AA0 L - B ER0 - IY1 - K OW0 +ALBERN AE1 L - B ER0 N +ALBERS AO1 L - B ER0 Z +ALBERSON AE1 L - B ER0 - S AH0 N +ALBERT AE1 L - B ER0 T +ALBERTA AE0 L - B ER1 - T AH0 +ALBERTHAL AE1 L - B ER0 - TH AO2 L +ALBERTI AA0 L - B EH1 R - T IY0 +ALBERTINA AA0 L - B ER0 - T IY1 - N AH0 +ALBERTINE AE1 L - B ER0 - T IY2 N +ALBERTINI AA0 L - B ER0 - T IY1 - N IY0 +ALBERTO AE0 L - B ER1 - T OW0 +ALBERTS AE1 L - B ER0 T S +ALBERTSEN AE1 L - B ER0 T - S AH0 N +ALBERTSON AE1 L - B ER0 T - S AH0 N +ALBERTSON'S AE1 L - B ER0 T - S AH0 N Z +ALBERTUS AE0 L - B ER1 - T AH0 S +ALBERTVILLE AE1 L - B ER0 T - V IH2 L +ALBERTY AH0 L - B ER1 - T IY0 +ALBIE AO1 L - B IY0 +ALBIN AE1 L - B IH0 N +ALBINA AA0 L - B IY1 - N AH0 +ALBINI AA0 L - B IY1 - N IY0 +ALBINIA AA0 L - B IY1 - N IY0 - AH0 +ALBINO AE0 L - B AY1 - N OW2 +ALBION AE1 L - B IY0 - AH0 N +ALBIRIC AA0 L - B AY1 - R IH0 K +ALBO AE1 L - B OW0 +ALBRECHT AO1 L - B R EH2 K T +ALBRIGHT AO1 L - B R AY2 T +ALBRITTON AE1 L - B R IH0 - T AA0 N +ALBRO AE1 L - B R OW0 +ALBUM AE1 L - B AH0 M +ALBUM'S AE1 L - B AH0 M Z +ALBUMIN AE0 L - B Y UW1 - M AH0 N +ALBUMS AE1 L - B AH0 M Z +ALBUNEX AE2 L - B Y UW1 - N EH0 K S +ALBUQUERQUE AE1 L - B AH0 - K ER0 - K IY0 +ALBURY AE1 L - B EH0 - R IY0 +ALBUS AE1 L - B AH0 S +ALBUTEROL AE2 L - B Y UW1 - T ER0 - AO0 L +ALCALA AA0 L - K AA1 - L AH0 +ALCAN AE1 L - K AE2 N +ALCAN'S AE1 L - K AE2 N Z +ALCANTAR AE2 L - K AE1 N - T ER0 +ALCANTARA AA0 L - K AA0 N - T AA1 - R AH0 +ALCARAZ AA0 L - K AA1 - R AA0 Z +ALCASA AE0 L - K AA1 - S AH0 +ALCATEL AE1 L - K AH0 - T EH2 L +ALCATEL'S AE1 L - K AH0 - T EH2 L Z +ALCATRAZ AE2 L - K AH0 - T R AE1 Z +ALCATRAZ(2) AE1 L - K AH0 - T R AE2 Z +ALCEE AE1 L - S IY0 +ALCHEMICALLY AE0 L - K EH1 - M AH0 - K L IY0 +ALCHEMIST AE1 L - CH AH0 - M IH0 S T +ALCHEMIST(2) AA1 L - K AH0 - M IH0 S T +ALCHEMY AE1 L - K AH0 - M IY0 +ALCIDE AE1 L - S AY2 D +ALCIDS AE1 L - S IH0 D Z +ALCINA AA0 L - CH IY1 - N AH0 +ALCO AE1 L - K OW0 +ALCO'S AE1 L - K OW0 Z +ALCOA AE1 L - K OW0 - AH0 +ALCOA'S AE0 L - K OW1 - AH0 Z +ALCOCER AH0 L - K OW1 - S ER0 +ALCOCK AH0 L - K AA1 K +ALCOHOL AE1 L - K AH0 - HH AA2 L +ALCOHOLIC AE2 L - K AH0 - HH AA1 - L IH0 K +ALCOHOLICS AE2 L - K AH0 - HH AA1 - L IH0 K S +ALCOHOLISM AE1 L - K AH0 - HH AO2 - L IH2 - Z AH0 M +ALCON AH0 L - K AA1 N +ALCORTA AA0 L - K AO1 R - T AH0 +ALCOTT AE1 L - K AA2 T +ALCOVE AE1 L - K OW2 V +ALCOVES AE1 L - K OW2 V Z +ALDA AA1 L - D AH0 +ALDACO AA0 L - D AA1 - K OW0 +ALDAMA AA0 L - D AA1 - M AH0 +ALDANA AA0 L - D AE1 - N AH0 +ALDAPE AA0 L - D AA1 - P EY0 +ALDAY AE1 L - D EY0 +ALDEBARAN AE0 L - D EH1 - B ER0 - AH0 N +ALDEN AA1 L - D AH0 N +ALDER AO1 L - D ER0 +ALDERCY AH0 L - D ER1 - K IY0 +ALDERETE AE1 L - D ER0 - IY0 T +ALDERFER AE1 L - D ER0 - F ER0 +ALDERIDGE AA1 L - D ER0 - IH0 JH +ALDERIDGE(2) AA1 L - D R IH0 JH +ALDERMAN AO1 L - D ER0 - M AH0 N +ALDERMAN(2) AE1 L - D ER0 - M AH0 N +ALDERMEN AO1 L - D ER0 - M IH0 N +ALDERSON AO1 L - D ER0 - S AH0 N +ALDERSON(2) AE1 L - D ER0 - S AH0 N +ALDERTON AO1 L - D ER0 - T AH0 N +ALDI AA1 L - D IY0 +ALDICARB AO1 L - D IH0 - K AA2 R B +ALDILA AE2 L - D IH1 - L AH0 +ALDIN AA0 L - D IY1 N +ALDINGER AO1 L - D IH0 - NG ER0 +ALDIS AA1 L - D IH0 S +ALDO AA1 L - D OW0 +ALDORA AA0 L - D AO1 - R AH0 +ALDOUS AA1 L - D AH0 S +ALDRED AE1 L - D ER0 D +ALDRED(2) AO1 L - D R EH0 D +ALDREDGE AO1 L - D R EH0 JH +ALDRETE AO1 L - D R IY0 T +ALDRIC AE1 L - D R IH0 K +ALDRIC(2) AO1 L - D R IH0 K +ALDRICH AO1 L - D R IH0 CH +ALDRIDGE AO1 L - D R IH0 JH +ALDRIN AO1 L - D R IH0 N +ALDRIN'S AO1 L - D R IH0 N Z +ALDUS AA1 L - D IH0 S +ALDWIN AO1 L D - W IH0 N +ALDWYN AO1 L D - W IH0 N +ALDYS AA1 L - D IY0 Z +ALE EY1 L +ALEATORY EY1 - L IY0 - AH0 - T AO2 - R IY0 +ALEC AE1 - L IH0 K +ALEDA AA0 - L EY1 - D AH0 +ALEEN AH0 - L IY1 N +ALEGRE AA0 - L EH1 - G R IY0 +ALEGRETT AE1 - L AH0 - G R AH0 T +ALEGRIA AH0 - L EH1 - G R IY0 - AH0 +ALEHOUSE EY1 L - HH AW2 S +ALEICHEM AH0 - L EH1 - HH EH0 M +ALEICHEM(2) AH0 - L EY1 - HH EH0 M +ALEJANDRE AA0 - L EY0 - Y AA1 N - D R EY0 +ALEJANDRO AA0 - L EY0 - Y AA1 N - D R OW0 +ALEJANDRO(2) AA0 - L EY0 - HH AA1 N - D R OW0 +ALEJO AA0 - L EY1 - Y OW0 +ALEJOS AA0 - L EY1 - Y OW0 Z +ALEKSANDER AE2 - L AH0 G - Z AE1 N - D ER0 +ALEKSANDER(2) AE2 - L AH0 K - S AE1 N - D ER0 +ALEKSANDR AE2 - L AH0 G - Z AE1 N - D ER0 +ALEKSANDR(2) AE2 - L AH0 K - S AE1 N - D ER0 +ALEMAN EY1 L - M AH0 N +ALENA AA0 - L EY1 - N AH0 +ALENDRIN AH0 - L EH1 N - D R IH0 N +ALENE AH0 - L IY1 N +ALENIA AH0 - L IY1 - N IY0 - AH0 +ALEO AA1 - L IY0 - OW0 +ALEPH AA1 - L AH0 F +ALERIA AH0 - L IY1 - R IY0 - AH0 +ALERON AA0 - L EH0 - R AO1 N +ALERT AH0 - L ER1 T +ALERTED AH0 - L ER1 - T IH0 D +ALERTING AH0 - L ER1 - T IH0 NG +ALERTNESS AH0 - L ER1 T - N AH0 S +ALERTS AH0 - L ER1 T S +ALES EY1 L Z +ALESHIRE AA0 - L EY0 - SH IH1 - R EY0 +ALESI AA0 - L EH1 - S IY0 +ALESSANDRA AE2 - L EH0 - S AE1 N - D R AH0 +ALESSANDRINI AA0 - L EH0 - S AA0 N - D R IY1 - N IY0 +ALESSANDRO AA0 - L EY0 - Z AA1 N - D R OW0 +ALESSANDRO(2) AA0 - L AH0 - S AE1 N - D R OW0 +ALESSI AH0 - L EH1 - S IY0 +ALESSIO AH0 - L EH1 - S IY0 - OW0 +ALETA AA0 - L EH1 - T AH0 +ALETHEA AE2 - L AH0 - TH IY1 - AH0 +ALETTI AH0 - L EH1 - T IY0 +ALEUTIAN AH0 - L UW1 - SH AH0 N +ALEUTIANS AH0 - L UW1 - SH AH0 N Z +ALEVE AH0 - L IY1 V +ALEWIFE EY1 L - W AY2 F +ALEWINE EY1 L - W AY2 N +ALEWIVES EY1 L - W AY2 V Z +ALEX AE1 - L AH0 K S +ALEX'S AE1 - L AH0 K - S IH0 Z +ALEXA AH0 - L EH1 K - S AH0 +ALEXANDER AE2 - L AH0 G - Z AE1 N - D ER0 +ALEXANDER'S AE2 - L AH0 G - Z AE1 N - D ER0 Z +ALEXANDER'S(2) AE2 - L IH0 G - Z AE1 N - D ER0 Z +ALEXANDER(2) AE2 - L IH0 G - Z AE1 N - D ER0 +ALEXANDERS AE2 - L IH0 G - Z AE1 N - D ER0 Z +ALEXANDRA AE2 - L EH0 G - Z AE1 N - D R AH0 +ALEXANDRA(2) AE2 - L IH0 G - Z AE1 N - D R AH0 +ALEXANDRE AE0 - L IH0 K - S AA1 N - D ER0 +ALEXANDRIA AE2 - L AH0 G - Z AE1 N - D R IY0 - AH0 +ALEXANDRINE AE2 - L AH0 G - Z AE1 N - D R IY0 N +ALEXANDRINES AE2 - L AH0 G - Z AE1 N - D R IY0 N Z +ALEXEI AH0 - L EH1 K - S EY2 +ALEXI AH0 - L EH1 K - S IY0 +ALEXI'S AH0 - L EH1 K - S IY0 Z +ALEXIA AH0 - L EH1 K - S IY0 - AH0 +ALEXINE AH0 - L EH1 K - S AY0 N +ALEXIS AH0 - L EH1 K - S IH0 S +ALEXOPOULOS AE0 - L IH0 G - Z AA1 - P AH0 - L IH0 S +ALEXY AH0 - L IY1 K - S IY0 +ALEY EY1 - L IY0 +ALF AE1 L F +ALFA AE1 L - F AH0 +ALFA'S AE1 L - F AH0 Z +ALFALFA AE2 L - F AE1 L - F AH0 +ALFANO AA0 L - F AA1 - N OW0 +ALFAREDA AE2 L - F AH0 - R EH1 - D AH0 +ALFARO AA0 L - F AA1 - R OW0 +ALFAVILLI AE2 L - F AH0 - V IH1 - L IY0 +ALFIE AE1 L - F IY0 +ALFIERI AA0 L - F IH1 - R IY0 +ALFIERO AE2 L - F IY0 - EH1 - R OW0 +ALFIN AE1 L - F IH0 N +ALFIN'S AE1 L - F IH0 N Z +ALFONO AE0 L - F OW1 - N OW0 +ALFONS AA1 L - F OW0 N Z +ALFONSE AE1 L - F AA0 N S +ALFONSE(2) AE1 L - F AO0 N S +ALFONSIN AE2 L - F AA1 N - S IH0 N +ALFONSIN'S AE2 L - F AA1 N - S IH0 N Z +ALFONSINE AA0 L - F OW0 N - S IY1 - N IY0 +ALFONSO AE2 L - F AA1 N - S OW0 +ALFORD AE1 L - F ER0 D +ALFRED AE1 L - F R AH0 D +ALFRED(2) AE1 L - F R IH0 D +ALFREDO AE2 L - F R EY1 - D OW0 +ALFREDSON AE1 L - F R IH0 D - S AH0 N +ALFREY AE1 L - F R IY0 +ALGAE AE1 L - JH IY0 +ALGAL AE1 L - G AH0 L +ALGAR AA0 L - G AA1 R +ALGARIN AE1 L - G ER0 - IH0 N +ALGEBRA AE1 L - JH AH0 - B R AH0 +ALGEBRAIC AE2 L - JH AH0 - B R EY1 - IH0 K +ALGEBRAICALLY AE2 L - JH AH0 - B R EY1 - IH0 K - L IY0 +ALGEMENE AE1 L - G AH0 - M IY2 N +ALGEO AE1 L - JH IY0 - OW0 +ALGER AE1 L - JH ER0 +ALGERIA AE0 L - JH IH1 - R IY0 - AH0 +ALGERIA'S AE0 L - JH IY1 - R IY0 - AH0 Z +ALGERIAN AE0 L - JH IH1 - R IY0 - AH0 N +ALGERIANS AE0 L - JH IY1 - R IY0 - AH0 N Z +ALGERNON AE1 L - JH ER0 - N AA0 N +ALGIE AO1 L - G IY0 +ALGIERS AE0 L - JH IH1 R Z +ALGOL AE1 L - G AA0 L +ALGOM AE1 L - G AH0 M +ALGOMA AE0 L - G OW1 - M AH0 +ALGONQUIAN AE0 L - G AA1 NG - K IY0 - AH0 N +ALGONQUIN AE0 L - G AA1 NG - K W IH0 N +ALGORITHM AE1 L - G ER0 - IH2 - DH AH0 M +ALGORITHMS AE1 L - G ER0 - IH2 - DH AH0 M Z +ALGUIRE AA0 L - G W IH1 - R EY0 +ALGY AE1 L - JH IY0 +ALHADEFF AE1 - L AH0 - D EH0 F +ALHAMBRA AE0 L - HH AE1 M - B R AH0 +ALHAUSIE AE0 L - HH AW1 - S IY0 +ALI AA1 - L IY0 +ALI'S AA1 - L IY0 Z +ALI-REZA AA1 - L IY0 - R EH1 - Z AH0 +ALIANO AA0 - L IY0 - AA1 - N OW0 +ALIANZA AE2 - L IY0 - AE1 N - Z AH0 +ALIAS EY1 - 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S P AH0 K +ALSPAUGH AH0 L - S P AO1 +ALSTHOM AE1 L - S TH AH0 M +ALSTON AO1 L - S T AH0 N +ALSUP AE1 L - S AH0 P +ALT AA1 L T +ALTA AA1 L - T AH0 +ALTADENA AA2 L - T AH0 - D IY1 - N AH0 +ALTAI AE0 L - T AY1 +ALTAIC AE0 L - T EY1 - IH0 K +ALTAMIRANO AA0 L - T AA0 - M IH0 - R AA1 - N OW0 +ALTAMURO AO2 L - T AH0 - M UH1 - R OW0 +ALTAR AO1 L - T ER0 +ALTARPIECE AO1 L - T ER0 - P IY2 S +ALTARS AO1 L - T ER0 Z +ALTAVISTA AO2 L - T AH0 - V IH1 - S T AH0 +ALTAY AO1 L - T AY0 +ALTEMOSE AE1 L - T IH0 - M OW0 S +ALTEMUS AE1 L - T IH0 - M IH0 S +ALTENBURG AO1 L - T AH0 N - B ER0 G +ALTENHOFEN AE1 L - T IH0 N - HH AH0 - F AH0 N +ALTER AO1 L - T ER0 +ALTERA AO2 L - T EH1 - R AH0 +ALTERATION AO2 L - T ER0 - EY1 - SH AH0 N +ALTERATIONS AO2 L - T ER0 - EY1 - SH AH0 N Z +ALTERCATION AA2 L - T ER0 - K EY1 - SH AH0 N +ALTERCATIONS AA2 L - T ER0 - K EY1 - SH AH0 N Z +ALTERED AO1 L - T ER0 D +ALTERGOTT AE1 L - T ER0 - G AH0 T +ALTERING AO1 L - T ER0 - IH0 NG +ALTERMAN AO1 L - T ER0 - M AH0 N +ALTERNACARE AO0 L - 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N OW2 +ALTITUDE AE1 L - T AH0 - T UW2 D +ALTITUDES AE1 L - T IH0 - T UW2 D Z +ALTIZER AE1 L - T AY0 - Z ER0 +ALTLAND AE1 L T - L AH0 N D +ALTMAN AO1 L T - M AH0 N +ALTMAN'S AO1 L T - M AH0 N Z +ALTMANN AO1 L T - M AH0 N +ALTMEYER AE1 L T - M AY0 - ER0 +ALTMEYER(2) AA1 L T - M AY0 - ER0 +ALTO AE1 L - T OW0 +ALTOBELLI AA0 L - T OW0 - B EH1 - L IY0 +ALTOGETHER AO2 L - T AH0 - G EH1 - DH ER0 +ALTOM AH0 L - T AA1 M +ALTOMARE AA0 L - T OW0 - M AA1 - R IY0 +ALTON AO1 L - T AH0 N +ALTOONA AE2 L - T UW1 - N AH0 +ALTOS AE1 L - T OW0 Z +ALTOS(2) AO1 L - T OW2 S +ALTRA AA1 L - T R AH0 +ALTRON AO1 L - T R AA0 N +ALTRUISM AE1 L - T R UW0 - IH2 - Z AH0 M +ALTRUISTIC AO2 L - T R UW0 - IH1 - S T IH0 K +ALTSCHILLER AO1 L - CH IH0 - L ER0 +ALTSCHUL AE1 L - CH AH0 L +ALTSCHULER AE1 L - CH Y UW0 - L ER0 +ALTSCHULER(2) AE1 L - CH UW0 - L ER0 +ALTSHULER AE1 L - CH Y UW0 - L ER0 +ALTSHULER(2) AE1 L - CH UW0 - L ER0 +ALTUCHER AE0 L - T AH1 - K ER0 +ALTURAS AA0 L - T UH1 - R AH0 S +ALTUS AE1 L - T AH0 S +ALTVATER AE1 L T - 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M AE1 L - G AH0 M +AMALGAMATE AH0 - M AE1 L - G AH0 - M EY2 T +AMALGAMATED AH0 - M AE1 L - G AH0 - M EY2 - T IH0 D +AMALGAMATED'S AH0 - M AE1 L - G AH0 - M EY2 - T IH0 D Z +AMALGAMATION AH0 - M AE2 L - G AH0 - M EY1 - SH AH0 N +AMALGAMS AH0 - M AE1 L - G AH0 M Z +AMALIA AH0 - M AA1 - L Y AH0 +AMALIE AE1 - M AH0 - L IY0 +AMAN AA1 - M AH0 N +AMANA AH0 - M AE1 - N AH0 +AMANDA AH0 - M AE1 N - D AH0 +AMANDA'S AH0 - M AE1 N - D AH0 Z +AMANDIME AE1 - M AH0 N - D AY2 M +AMANN AE1 - M AH0 N +AMANO AH0 - M AA1 - N OW0 +AMANPOUR AA2 - M AA2 N - P UH1 R +AMANPOUR'S AA2 - M AA2 N - P UH1 R Z +AMANTE AA0 - M AA1 N - T IY0 +AMAR AH0 - M AA1 R +AMARA AA0 - M AA1 - R AH0 +AMARAL AA0 - M AA0 - R AE1 L +AMARANTE AA0 - M AA0 - R AA1 N - T IY0 +AMARANTH AE1 - M ER0 - AE2 N TH +AMARI AA0 - M AA1 - R IY0 +AMARILLO AE2 - M ER0 - IH1 - L OW0 +AMARIN AE1 - M ER0 - IH0 N +AMARIS AE1 - M ER0 - IH0 S +AMARO AA0 - M AA1 - R OW0 +AMARYLLIS AE2 - M ER0 - IH1 - L AH0 S +AMARYLLIS(2) AE2 - M ER0 - IH1 - L IH0 S +AMARYLLISES AE2 - 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M IY2 - L Y ER0 - EY1 - SH AH0 N +AMELITA AA0 - M EH0 - L IY1 - T AH0 +AMELL AA0 - M EY1 L +AMEN EY0 - M EH1 N +AMEN(2) AA0 - M EH1 N +AMENABLE AH0 - M EH1 - N AH0 - B AH0 L +AMENABLE(2) AH0 - M IY1 - N AH0 - B AH0 L +AMEND AH0 - M EH1 N D +AMENDABLE AH0 - M EH1 N - D AH0 - B AH0 L +AMENDED AH0 - M EH1 N - D AH0 D +AMENDED(2) AH0 - M EH1 N - D IH0 D +AMENDING AH0 - M EH1 N - D IH0 NG +AMENDMENT AH0 - M EH1 N D - M AH0 N T +AMENDMENT'S AH0 - M EH1 N D - M AH0 N T S +AMENDMENTS AH0 - M EH1 N D - M AH0 N T S +AMENDOLA AA0 - M EH0 N - D OW1 - L AH0 +AMENDS AH0 - M EH1 N D Z +AMENITIES AH0 - M EH1 - N AH0 - T IY0 Z +AMENITIES(2) AH0 - M EH1 - N IH0 - T IY0 Z +AMENITY AH0 - M EH1 - N AH0 - T IY0 +AMENT AE1 - M IH0 N T +AMENTA AH0 - M EH1 N - T AH0 +AMER EY1 - M ER0 +AMERADA AE2 - M EH0 - R AA1 - D AH0 +AMERADA(2) AE2 - M ER0 - AA1 - D AH0 +AMERCO AH0 - M EH1 R - K OW0 +AMERFORD EY1 - M ER0 - F ER0 D +AMERI AH0 - M EH1 - R IY0 +AMERIBANC AH0 - M EH1 - R IH0 - B AE2 NG K +AMERICA AH0 - M EH1 - R AH0 - K AH0 +AMERICA'S AH0 - M EH1 - R AH0 - K AH0 Z +AMERICA'S(2) AH0 - M EH1 - R IH0 - K AH0 Z +AMERICA(2) AH0 - M EH1 - R IH0 - K AH0 +AMERICAN AH0 - M EH1 - R AH0 - K AH0 N +AMERICAN'S AH0 - M EH1 - R IH0 - K AH0 N Z +AMERICAN(2) AH0 - M EH1 - R IH0 - K AH0 N +AMERICANA AH0 - M EH2 - R AH0 - K AE1 - N AH0 +AMERICANISM AH0 - M EH1 - R IH0 - K AH0 - N IH2 - Z AH0 M +AMERICANIZATION AH0 - M EH2 - R AH0 - K AH0 - N AH0 - Z EY1 - SH AH0 N +AMERICANIZE AH0 - M EH1 - R AH0 - K AH0 - N AY2 Z +AMERICANIZED AH0 - M EH1 - R IH0 - K AH0 - N AY2 Z D +AMERICANO AH0 - M EH2 - R IH0 - K AA1 - N OW0 +AMERICANS AH0 - M EH1 - R AH0 - K AH0 N Z +AMERICANS' AH0 - M EH1 - R IH0 - K AH0 N Z +AMERICANS(2) AH0 - M EH1 - R IH0 - K AH0 N Z +AMERICAR AH0 - M EH1 - R IH0 - K AA2 R +AMERICARE AH0 - M EH1 - R IH0 - K EH2 R +AMERICARES AH0 - M EH1 - R IH0 - K EH2 R Z +AMERICAS AH0 - M EH1 - R AH0 - K AH0 Z +AMERICAS' AH0 - M EH1 - R IH0 - K AH2 Z +AMERICAS(2) AH0 - M EH1 - R IH0 - K AH0 Z +AMERICO AH0 - M ER1 - AH0 - K OW0 +AMERICOLD AH0 - M EH1 - R IH0 - K OW2 L D +AMERICORP AH0 - M EH1 - R IH0 - K AO2 R +AMERICORP(2) AH0 - M EH1 - R IH0 - K AO2 R P +AMERICORPS AH0 - M EH1 - R IH0 - K AO2 R +AMERICUS AH0 - M EH1 - R IH0 - K AH0 S +AMERIFIRST AH0 - M EH1 - R IH0 - F ER0 S T +AMERIGAS AH0 - M EH1 - R IH0 - G AE2 S +AMERIGO AA0 - M ER0 - IY1 - G OW0 +AMERIKA AH0 - M EH1 - R IH0 - K AH0 +AMERINDIAN AE2 - M ER0 - IH1 N - D IY0 - AH0 N +AMERINE AA0 - M ER0 - IY1 - N IY0 +AMERITECH AH0 - M EH1 - R IH0 - T EH2 K +AMERITECH'S AH0 - M EH1 - R IH0 - T EH2 K S +AMERITRUST AH0 - M EH1 - R IH0 - T R AH2 S T +AMERMAN AE1 - M ER0 - M AH0 N +AMERO AA0 - M EH1 - R OW0 +AMERON AE1 - M ER0 - AA0 N +AMERON'S AE1 - M ER0 - AA0 N Z +AMERONGEN AE2 - M ER0 - AO1 N - JH AH0 N +AMERSHAM AE1 - M ER0 - SH AE2 M +AMERSON AE1 - M ER0 - S AH0 N +AMERY AE1 - M ER0 - IY0 +AMES EY1 M Z +AMES' EY1 M Z +AMES'S EY1 M - Z IH0 Z +AMETEK AE1 - M AH0 - T EH2 K +AMETEK'S AE1 - M AH0 - T EH2 K S +AMETHYST AE1 - M IH0 - TH IH0 S T +AMEV AE1 - M EH0 V +AMEX AE1 - M EH2 K S +AMEX'S AE1 - M EH0 K - S IH0 Z +AMEXCO AH0 - M EH1 K - S K OW0 +AMEXCO'S AH0 - M EH1 K - S K OW0 Z +AMEY EY1 - M IY0 +AMEZCUA AH0 - M EH1 Z - K Y UW0 - AH0 +AMEZQUITA AA0 - M EH0 Z - K W IY1 - T AH0 +AMFAC AE1 M - F AE0 K +AMFESCO AE0 M - F EH1 - S K OW0 +AMGEN AE1 M - JH EH0 N +AMGEN'S AE1 M - JH EH0 N Z +AMHERST AE1 - M ER0 S T +AMHOIST AE0 M - HH OY1 S T +AMI AA1 - M IY0 +AMIABILITY EY2 - M IY0 - AH0 - B IH1 - L AH0 - T IY0 +AMIABLE EY1 - M IY0 - AH0 - B AH0 L +AMIABLY EY1 - M IY0 - AH0 - B L IY0 +AMICABLE AE1 - M IH0 - K AH0 - B AH0 L +AMICABLY AE1 - M IH0 - K AH0 - B L IY0 +AMICK AE1 - M IH0 K +AMICO AA0 - M IY1 - K OW0 +AMICONE AE1 - M IH0 - K OW2 N +AMICUS AH0 - M IY1 - K AH0 S +AMID AH0 - M IH1 D +AMIDI AA0 - M IY1 - D IY0 +AMIDON AE1 - M IH0 - D AA0 N +AMIDSHIPS AH0 - M IH1 D - SH IH0 P S +AMIDST AH0 - M IH1 D S T +AMIE AE1 - M IY0 +AMIGA AH0 - M IY1 - G AH0 +AMIGO AH0 - M IY1 - G OW2 +AMIGOS AH0 - M IY1 - G OW2 Z +AMILIA AA0 - M IY1 - L IY0 - AH0 +AMIN AA0 - M IY1 N +AMINO AH0 - M IY1 - N OW0 +AMINTA AH0 - M IH1 N - T AH0 +AMIOT EY1 - M IY0 - AH0 T +AMIPRILOSE AH0 - M IH1 - P R AH0 - L OW2 S +AMIR AH0 - M IH1 R +AMIR'S AH0 - M IH1 R Z +AMIR'S(2) AA0 - M IH1 R Z +AMIR(2) AA0 - M IH1 R +AMIRAM AE1 - M ER0 - AE0 M +AMIRAN AE1 - M IH0 - R AH0 N +AMIRAULT AE1 - M AY0 - R AW0 L T +AMIRAV AE1 - M IH0 - R AE2 V +AMIRI AA0 - M IH1 - R IY0 +AMIS AE1 - M IH0 S +AMISH AA1 - M IH0 SH +AMISH(2) EY1 - M IH0 SH +AMISON AE1 - M IH0 - S AH0 N +AMISS AH0 - M IH1 S +AMIT AA2 - M IY1 T +AMITAI AE1 - M IH0 - T AY2 +AMITY AE1 - M IH0 - T IY0 +AMITYVILLE AE1 - M IH0 - T IY0 - V IH2 L +AMMAN AE1 - M AH0 N +AMMAN(2) AH0 - M AA1 N +AMMANN AE1 - M AH0 N +AMMEEN AH0 - M IY1 N +AMMERMAN AE1 - M ER0 - M AH0 N +AMMETER AE1 - M IY2 - T ER0 +AMMETERS AE1 - M IY2 - T ER0 Z +AMMIRATI AA0 - M IH0 - R AA1 - T IY0 +AMMO AE1 - M OW2 +AMMON AE1 - M AH0 N +AMMONIA AH0 - M OW1 - N Y AH0 +AMMONITE AE1 - M AH0 - N AY2 T +AMMONITES AE1 - M AH0 - N AY2 T S +AMMONIUM AH0 - M OW1 - N IY0 - AH0 M +AMMONS AE1 - M AH0 N Z +AMMUNITION AE2 - M Y AH0 - N IH1 - SH AH0 N +AMMUNITIONS AE2 - M Y AH0 - N IH1 - SH AH0 N Z +AMNESIA AE0 M - N IY1 - ZH AH0 +AMNESIAC AE0 M - N IY1 - Z IY0 - AE2 K +AMNESTIES AE1 M - N AH0 - S T IY0 Z +AMNESTY AE1 M - N AH0 - S T IY0 +AMNIO AE1 M - N IY0 - OW0 +AMNIOCENTESIS AE2 M - N IY0 - OW0 - S EH2 N - T IY1 - S IH0 S +AMNIOTIC AE1 M - N IY0 - AO0 - T IH0 K +AMO AA1 - M OW0 +AMOCO AE1 - M AH0 - K OW0 +AMOCO'S AE1 - M AH0 - K OW0 Z +AMOEBA AH0 - M IY1 - B AH0 +AMOEBAS AH0 - M IY1 - B AH0 Z +AMOEBIC AH0 - M IY1 - B IH0 K +AMOK AH0 - M AH1 K +AMON AA0 - M AO1 N +AMONG AH0 - M AH1 NG +AMONGST AH0 - M AH1 NG S T +AMOOLYA AH0 - M UW1 - L Y AH0 +AMOR AE1 - M ER0 +AMORAL EY0 - M AO1 - R AH0 L +AMORE AA1 - M AO0 R +AMORETTE AE1 - M ER0 - EH2 T +AMORIST AE1 - M ER0 - AH0 S T +AMORITA AA0 - M AO0 - R IY1 - T AH0 +AMOROSI AA0 - M AO0 - R OW1 - S IY0 +AMOROSO AA0 - M AO0 - R OW1 - S OW0 +AMOROUS AE1 - M ER0 - AH0 S +AMORPHOUS AH0 - M AO1 R - F AH0 S +AMORTIZATION AE2 - M ER0 - T IH0 - Z EY1 - SH AH0 N +AMORTIZE AE1 - M ER0 - T AY2 Z +AMORTIZED AE1 - M ER0 - T AY2 Z D +AMORTIZING AE1 - M ER0 - T AY2 - Z IH0 NG +AMORUSO AE2 - M ER0 - UW1 - S OW0 +AMORY EY1 - M ER0 - IY0 +AMOS EY1 - M AH0 S +AMOS'S EY1 - M AH0 - S IH0 Z +AMOSKEAG AE1 - M AH0 - S K EY2 G +AMOSKEAG'S AE1 - M AH0 - S K EY2 G Z +AMOSS AH0 - M AO1 S +AMOUNT AH0 - M AW1 N T +AMOUNTED AH0 - M AW1 N - T IH0 D +AMOUNTED(2) AH0 - M AW1 - N IH0 D +AMOUNTING AH0 - M AW1 N - T IH0 NG +AMOUNTING(2) AH0 - M AW1 - N IH0 NG +AMOUNTS AH0 - M AW1 N T S +AMP AE1 M P +AMPAD AE1 M - P AE0 D +AMPAL AE1 M - P AH0 L +AMPARAN AE1 M - P ER0 - AH0 N +AMPATO AA2 M - P AA1 - T OW0 +AMPCO AE1 M - P K OW0 +AMPERAGE AE1 M - P ER0 - IH0 JH +AMPERSAND AE1 M - P ER0 - S AE2 N D +AMPEX AE1 M - P EH2 K S +AMPHENOL AE1 M - F AH0 - N AO0 L +AMPHETAMINE AE0 M - F EH1 - T AH0 - M IY2 N +AMPHETAMINES AE0 M - F EH1 - T AH0 - M IY2 N Z +AMPHIBIAN AE0 M - F IH1 - B IY0 - AH0 N +AMPHIBIANS AE0 M - F IH1 - B IY0 - AH0 N Z +AMPHIBIOUS AE0 M - F IH1 - B IY0 - AH0 S +AMPHIBOLE AE1 M - F AH0 - B OW2 L +AMPHIBOLE(2) AE1 M - F IH0 - B OW2 L +AMPHITHEATER AE1 M - F AH0 - TH IY2 - AH0 - T ER0 +AMPHITHEATERS AE1 M - F AH0 - TH IY2 - AH0 - T ER0 Z +AMPHITHEATRE AE1 M - P AH0 - TH IY2 - AH0 - T ER0 +AMPHORA AE1 M - F ER0 - AH0 +AMPHORAE AE1 M - F ER0 - IY2 +AMPLE AE1 M - P AH0 L +AMPLICONS AE1 M - P L IH0 - K AO0 N Z +AMPLIFICATION AE2 M - P L AH0 - F AH0 - K EY1 - SH AH0 N +AMPLIFICATIONS AE2 M - P L AH0 - F AH0 - K EY1 - SH AH0 N Z +AMPLIFIED AE1 M - P L AH0 - F AY2 D +AMPLIFIER AE1 M - P L AH0 - F AY2 - ER0 +AMPLIFIERS AE1 M - P L AH0 - F AY2 - ER0 Z +AMPLIFIES AE1 M - P L AH0 - F AY2 Z +AMPLIFY AE1 M - P L AH0 - F AY2 +AMPLIFYING AE1 M - P L AH0 - F AY2 - IH0 NG +AMPLIGEN AE1 M - P L IH0 - JH EH0 N +AMPLITUDE AE1 M - P L AH0 - T UW2 D +AMPLOCORE AE1 M - P L AH0 - K AO2 R +AMPLY AE1 M - P L IY0 +AMPOL AE1 M - P AO0 L +AMPUTATE AE1 M - P Y AH0 - T EY2 T +AMPUTATED AE1 M - P Y AH0 - T EY2 - T IH0 D +AMPUTATION AE2 M - P Y AH0 - T EY1 - SH AH0 N +AMPUTATIONS AE2 M - P Y UW0 - T EY1 - SH AH0 N Z +AMPUTEE AE1 M - P Y AH0 - T IY1 +AMPUTEES AE1 M - P Y AH0 - T IY1 Z +AMR AA1 - M ER0 +AMRAAM AE0 M - R AA1 M +AMRE AE1 - M R AH0 +AMREIN AE1 M - R AY0 N +AMREP AE1 M - R EH0 P +AMRHEIN AE1 - M ER0 - HH AY2 N +AMRINE AE1 - M R IY0 N +AMRITSAR AE0 M - R IH1 T - S ER0 +AMRITSAR(2) AE1 M - R IH0 T - S AA2 R +AMRO AE1 - M R OW0 +AMS AE1 M Z +AMSBAUGH AE1 M - Z B AO2 +AMSCO AE1 M - S K OW0 +AMSDEN AE1 M Z - D AH0 N +AMSLER AE1 M - Z L ER0 +AMSOUTH AE1 M - S AW2 TH +AMSPACHER AE1 M - S P AH0 - K ER0 +AMSTAR AE1 M - S T AA2 R +AMSTER AE1 M - S T ER0 +AMSTERDAM AE1 M - S T ER0 - D AE2 M +AMSTERDAM'S AE1 M - S T ER0 - D AE2 M Z +AMSTRAD AE1 M - S T R AE2 D +AMSTUTZ AE1 M - S T AH0 T S +AMTECH AE1 M - T EH2 K +AMTRACK AE1 M - T R AE2 K +AMTRAK AE1 M - T R AE0 K +AMTRAK'S AE1 M - T R AE2 K S +AMUCK AH0 - M AH1 K +AMULET AE1 - M Y AH0 - L AH0 T +AMULETS AE1 - M Y AH0 - L AH0 T S +AMUNDSEN EY1 - M AH0 N D - S AH0 N +AMUNDSEN(2) AA1 - M AH0 N D - S AH0 N +AMUNDSON AE1 - M AH0 N D - S AH0 N +AMUSE AH0 - M Y UW1 Z +AMUSED AH0 - M Y UW1 Z D +AMUSEMENT AH0 - M Y UW1 Z - M AH0 N T +AMUSEMENTS AH0 - M Y UW1 Z - M AH0 N T S +AMUSEMENTS' AH0 - M Y UW1 Z - M AH0 N T S +AMUSES AH0 - M Y UW1 - Z IH0 Z +AMUSING AH0 - M Y UW1 - Z IH0 NG +AMUSINGLY AH0 - M Y UW1 - Z IH0 NG - L IY0 +AMVEST AE1 M - V EH0 S T +AMVESTOR AE2 M - V EH1 - S T ER0 +AMVESTORS AE2 M - V EH1 - S T ER0 Z +AMWAY AE1 M - W EY2 +AMY EY1 - M IY0 +AMY'S EY1 - M IY0 Z +AMYLIN AE1 - M IH0 - L IH2 N +AMYLOID AE1 - M IH0 - L OY2 D +AMYOTROPHIC AE2 - M AY0 - AH0 - T R OW1 - F IH0 K +AMYOTROPHIC(2) AE2 - M IY0 - AH0 - T R OW1 - F IH0 K +AMYX AE1 - M IH0 K S +AN AE1 N +AN(2) AH0 N +ANA AA1 - N AH0 +ANA(2) AE1 - N AH0 +ANABAPTIST AE2 - N AH0 - B AE1 P - T AH0 S T +ANABLE EY1 - N AH0 - B AH0 L +ANABOLIC AE2 - N AH0 - B AA1 - L IH0 K +ANAC AE1 - N AE0 K +ANACHRONISM AH0 - N AE1 - K R AH0 - N IH2 - Z AH0 M +ANACHRONISMS AH0 - N AE1 - K R AH0 - N IH2 - Z AH0 M Z +ANACHRONISTIC AH0 - N AE2 - K R AH0 - N IH1 - S T IH0 K +ANACIN AE1 - N AH0 - S IH0 N +ANACKER AE1 - N AH0 - K ER0 +ANACOMP AE1 - N AH0 - K AA2 M P +ANACONDA AE2 - N AH0 - K AA1 N - D AH0 +ANACOSTIA AE2 - N AH0 - K AA1 - S T IY0 - AH0 +ANACOSTIA'S AE2 - N AH0 - K AA1 - S T IY0 - AH0 Z +ANADARKO AE2 - N AH0 - D AA1 R - K OW0 +ANADARKO'S AE2 - N AH0 - D AA1 R - K OW0 Z +ANAEROBE AE1 - N ER0 - OW2 B +ANAEROBES AE1 - N ER0 - OW2 B Z +ANAEROBIC AE2 - N ER0 - OW1 - B IH0 K +ANAESTHESIA AE2 - N AH0 S - TH IY1 - ZH AH0 +ANAFRANIL AH0 - N AE1 - F R AH0 - N IH2 L +ANAGNOS AA0 - N AA1 G - N OW0 Z +ANAGRAM AE1 - N AH0 - G R AE2 M +ANAHEIM AE1 - N AH0 - HH AY2 M +ANAL EY1 - N AH0 L +ANALGESIC AE2 - N AH0 L - JH IY1 - S IH0 K +ANALGESICS AE2 - N AH0 L - JH IY1 - Z IH0 K S +ANALOG AE1 - N AH0 - L AO2 G +ANALOGIC AE2 - N AH0 - L AA1 - JH IH0 K +ANALOGIES AH0 - N AE1 - L AH0 - JH IY0 Z +ANALOGOUS AH0 - N AE1 - L AH0 - G AH0 S +ANALOGUE AE1 - N AH0 - L AO2 G +ANALOGY AH0 - N AE1 - L AH0 - JH IY0 +ANALYSES AH0 - N AE1 - L AH0 - S IY2 Z +ANALYSIS AH0 - N AE1 - L AH0 - S AH0 S +ANALYSIS(2) AH0 - N AE1 - L IH0 - S IH0 S +ANALYST AE1 - N AH0 - L AH0 S T +ANALYST'S AE1 - N AH0 - L IH0 S T S +ANALYST'S(2) AE1 - N AH0 - L IH0 S S +ANALYST'S(3) AE1 - N AH0 - L IH0 S +ANALYST(2) AE1 - N AH0 - L IH0 S T +ANALYSTS AE1 - N AH0 - L AH0 S T S +ANALYSTS' AE1 - N AH0 - L IH0 S T S +ANALYSTS'(2) AE1 - N AH0 - L IH0 S S +ANALYSTS'(3) AE1 - N AH0 - L IH0 S +ANALYSTS(2) AE1 - N AH0 - L IH0 S T S +ANALYSTS(3) AE1 - N AH0 - L AH0 S S +ANALYSTS(4) AE1 - N AH0 - L IH0 S S +ANALYSTS(5) AE1 - N AH0 - L AH0 S +ANALYSTS(6) AE1 - N AH0 - L IH0 S +ANALYTIC AE2 - N AH0 - L IH1 - T IH0 K +ANALYTICAL AE2 - N AH0 - L IH1 - T IH0 - K AH0 L +ANALYTICALLY AE2 - N AH0 - L IH1 - T IH0 K - L IY0 +ANALYTICITY AE2 - N AH0 - L AH0 - T IH1 - S AH0 - T IY0 +ANALYTICS AE2 - N AH0 - L IH1 - T IH0 K S +ANALYZABLE AE1 - N AH0 - L AY2 - Z AH0 - B AH0 L +ANALYZE AE1 - N AH0 - L AY2 Z +ANALYZED AE1 - N AH0 - L AY2 Z D +ANALYZER AE1 - N AH0 - L AY2 - Z ER0 +ANALYZERS AE1 - N AH0 - L AY2 - Z ER0 Z +ANALYZES AE1 - N AH0 - L AY2 - Z IH0 Z +ANALYZING AE1 - N AH0 - L AY2 - Z IH0 NG +ANAMARIA AE2 - N AH0 - M AH0 - R IY1 - AH0 +ANAND AE1 - N AH0 N D +ANANDALE AE1 - N AH0 N - D EY2 L +ANANDEEP AA2 - N AA0 N - D IY1 P +ANANIA AA0 - N AA1 - N IY0 - AH0 +ANANTHA AH0 - N AE1 N - TH AH0 +ANAPHORA AH0 - N AE1 - F ER0 - AH0 +ANARCHIC AE0 - N AA1 R - K IH0 K +ANARCHICAL AE0 - N AA1 R - K AH0 - K AH0 L +ANARCHIST AE1 - N ER0 - K AH0 S T +ANARCHISTS AE1 - N ER0 - K AH0 S T S +ANARCHY AE1 - N ER0 - K IY0 +ANAREN AE1 - N ER0 - AH0 N +ANAS AE1 - N AH0 S +ANASAZI AE2 - N AH0 - S AE1 - Z IY0 +ANASAZI(2) AE2 - N AH0 - S AA1 - Z IY0 +ANASQUAN AE1 - N AH0 S - K W AA0 N +ANAST AA1 - N AA0 S T +ANASTAS AE1 - N AH0 - S T AH0 Z +ANASTASI AA0 - N AA0 - S T AA1 - S IY0 +ANASTASIA AE0 - N AH0 - S T EY1 - ZH AH0 +ANASTASIO AA0 - N AA0 - S T AA1 - S IY0 - OW0 +ANASTASIO(2) AE2 - N AH0 - S T AA1 - S IY0 - OW0 +ANASTOS AE1 - N AH0 - S T OW0 Z +ANATHEMA AH0 - N AE1 - TH AH0 - M AH0 +ANATOLA AA0 - N AA0 - T OW1 - L AH0 +ANATOLE AE1 - N AH0 - T OW2 L +ANATOLI AE2 - N AH0 - T OW1 - L IY0 +ANATOLIA AE2 - N AH0 - T OW1 - L IY0 - AH0 +ANATOLIAN AE2 - N AH0 - T OW1 - L IY0 - AH0 N +ANATOLY AE2 - N AH0 - T OW1 - L IY0 +ANATOMICAL AE2 - N AH0 - T AA1 - M AH0 - K AH0 L +ANATOMICAL(2) AE2 - N AH0 - T AA1 - M IH0 - K AH0 L +ANATOMICALLY AE2 - N AH0 - T AA1 - M AH0 K - L IY0 +ANATOMIST AH0 - N AE1 - T AH0 - M AH0 S T +ANATOMIST(2) AH0 - N AE1 - T AH0 - M IH0 S T +ANATOMY AH0 - N AE1 - T AH0 - M IY0 +ANAYA AA0 - N AA1 - Y AH0 +ANBARI AE0 N - B AA1 - R IY0 +ANCEL AH0 N - S EH1 L +ANCELL AA0 N - S EY1 L +ANCESTOR AE1 N - S EH2 - S T ER0 +ANCESTORS AE1 N - S EH2 - S T ER0 Z +ANCESTRAL AE0 N - S EH1 S - T R AH0 L +ANCESTRY AE1 N - S EH0 S - T R IY0 +ANCHETA AA0 N - K EH1 - T AH0 +ANCHO AE1 N - CH OW0 +ANCHONDO AA0 N - K OW1 N - D OW0 +ANCHOR AE1 NG - K ER0 +ANCHOR'S AE1 NG - K ER0 Z +ANCHORAGE AE1 NG - K ER0 - AH0 JH +ANCHORAGE(2) AE1 NG - K R IH0 JH +ANCHORED AE1 NG - K ER0 D +ANCHORING AE1 NG - K ER0 - IH0 NG +ANCHORMAN AE1 NG - K ER0 - M AE2 N +ANCHORMAN(2) AE1 NG - K ER0 - M AH0 N +ANCHORMEN AE1 NG - K ER0 - M EH1 N +ANCHORS AE1 NG - K ER0 Z +ANCHOVIES AE0 N - CH OW1 - V IY0 Z +ANCHOVIES(2) AE1 N - CH OW2 - V IY0 Z +ANCHOVY AE0 N - CH OW1 - V IY0 +ANCHOVY(2) AE1 N - CH OW2 - V IY0 +ANCIENT EY1 N - CH AH0 N T +ANCIENT(2) EY1 N - SH AH0 N T +ANCIENTS EY1 N - CH AH0 N T S +ANCIENTS(2) EY1 N - SH AH0 N T S +ANCILLARY AE1 N - S AH0 - L EH2 - R IY0 +ANCIRA AA0 N - CH IH1 - R AH0 +ANCONA AA0 N - K OW1 - N AH0 +ANCRUM AH0 N - K R AH1 M +ANCTIL AE1 NG K - T IH0 L +AND AE1 N D +AND(2) AH0 N D +ANDAL AE1 N - D AH0 L +ANDALUSIA AE2 N - D AH0 - L UW1 - ZH AH0 +ANDALUSIAN AE2 N - D AH0 - L UW1 - SH AH0 N +ANDANTE AA0 N - D AA1 N - T EY0 +ANDANTINO AA2 N - D AA2 N - T IY1 - N OW0 +ANDEAN AE1 N - D IY0 - AH0 N +ANDEL AE1 N - D AH0 L +ANDER AE1 N - D ER0 +ANDERA AE1 N - D ER0 - AH0 +ANDERBERG AE1 N - D ER0 - B ER0 G +ANDEREGG AE1 N - D ER0 - IH0 G +ANDERLE AE1 N - D ER0 - AH0 L +ANDERLINI AE2 N - D ER0 - L IY1 - N IY0 +ANDERMAN AE1 N - D ER0 - M AH0 N +ANDERS AE1 N - D ER0 Z +ANDERSEN AE1 N - D ER0 - S AH0 N +ANDERSEN'S AE1 N - D ER0 - S AH0 N Z +ANDERSON AE1 N - D ER0 - S AH0 N +ANDERSON'S AE1 N - D ER0 - S AH0 N Z +ANDERSONS AE1 N - D ER0 - S AH0 N Z +ANDERSONVILLE AE1 N - D ER0 - S AH0 N - V IH0 L +ANDERSSON AE1 N - D ER0 - S AH0 N +ANDERT AE1 N - D ER0 T +ANDERTON AE1 N - D ER0 - T AH0 N +ANDES AE1 N - D IY0 Z +ANDESITE AE1 N - D IH0 - S AY2 T +ANDIE AE1 N - D IY0 +ANDING AE1 N - D IH0 NG +ANDINO AA0 N - D IY1 - N OW0 +ANDIRON AE1 N - D AY2 - ER0 N +ANDIS AE1 N - D IH0 S +ANDLER AE1 N D - L ER0 +ANDO AE1 N - D OW0 +ANDOLINA AA0 N - D OW0 - L IY1 - N AH0 +ANDONIAN AE2 N - D OW1 - N IY0 - AH0 N +ANDORAS AE0 N - D AO1 - R AH0 Z +ANDORRA AE0 N - D AO1 - R AH0 +ANDOVER AE1 N D - OW0 - V ER0 +ANDRADA AA0 N - D R AA1 - D AH0 +ANDRADE AE1 N - D R EY2 D +ANDRAE AA1 N - D R AY0 +ANDRAS AA1 N - D R AH0 S +ANDRE AA1 N - D R EY2 +ANDREA AE1 N - D R IY0 - AH0 +ANDREA'S AE1 N - D R IY0 - AH0 Z +ANDREA'S(2) AA2 N - D R EY1 - AH0 Z +ANDREA(2) AA2 N - D R EY1 - AH0 +ANDREAE AA0 N - D R EY1 - AA0 +ANDREANA AE2 N - D R IY1 - N AH0 +ANDREANA(2) AE2 N - D R IY1 - AA0 - N AH0 +ANDREANI AE2 N - D R IY1 - N IY0 +ANDREANI(2) AE2 N - D R IY1 - AA0 - N IY0 +ANDREANO AE2 N - D R IY1 - N OW0 +ANDREANO(2) AE2 N - D R IY1 - AA0 - N OW0 +ANDREAS AA0 N - D R EY1 - AH0 S +ANDREASEN AE1 N - D R IY0 - S AH0 N +ANDREASON AE2 N - D R IY1 - S AH0 N +ANDREASSEN AE1 N - D R AH0 - S AH0 N +ANDREE AH0 N - D R IY1 +ANDREEN AH0 N - D R IY1 N +ANDREI AE1 N - D R EY2 +ANDREINI AA0 N - D R EY0 - IY1 - N IY0 +ANDREJ AA1 N - D R EY0 +ANDREN AE1 N - D ER0 - AH0 N +ANDREOLI AA0 N - D R EY0 - OW1 - L IY0 +ANDREONI AA0 N - D R EY0 - OW1 - N IY0 +ANDREOTTI AA0 N - D R IY0 - AA1 - T IY0 +ANDREOTTI(2) AE2 N - D R IY0 - AA1 - D IY0 +ANDREOZZI AA0 N - D R IY0 - AA1 T - S IY0 +ANDREPONT AA0 N - D R EY1 - P OW0 N T +ANDRES AA1 N - D R EY0 Z +ANDRES(2) AE1 N - D R EY0 Z +ANDRESEN AE0 N - D R IY1 - S AH0 N +ANDRESKI AE0 N - D R EH1 S - K IY0 +ANDRESS AA1 N - D R EH0 S +ANDRETTI AE2 N - D R EH1 - T IY0 +ANDRETTI'S AE2 N - D R EH1 - T IY0 Z +ANDREU AE1 N - D R UW0 +ANDREW AE1 N - D R UW0 +ANDREW'S AE1 N - D R UW2 Z +ANDREWS AE1 N - D R UW2 Z +ANDREWS' AE1 N - D R UW2 Z +ANDREY AE1 N - D R IY0 +ANDREZAK AE1 N - D R AH0 - Z AE0 K +ANDRIA AE1 N - D R IY0 - AH0 +ANDRIANA AA0 N - D R IY0 - AE1 - N AH0 +ANDRIANO AA0 N - D R IY0 - AA1 - N OW0 +ANDRIC AE1 N - D R IH0 K +ANDRICH AE1 N - D R IH0 K +ANDRICK AE1 N - D R IH0 K +ANDRIES AH0 N - D R IY1 Z +ANDRIESSEN AE2 N - D R IY1 - S AH0 N +ANDRINGA AA0 N - D R IY1 NG - G AH0 +ANDRIOLA AA0 N - D R IY0 - OW1 - L AH0 +ANDRIST AE1 N - D R IH0 S T +ANDROGYNOUS AE0 N - D R AO1 - JH AH0 - N AH0 S +ANDROID AE1 N - D R OY2 D +ANDROMEDA AE0 N - D R AA1 - M AH0 - D AH0 +ANDROPOV AE0 N - D R AA1 - P AA2 V +ANDROS AE1 N - D R AA0 S +ANDRUS AE1 N - D R AH0 S +ANDRUSKEVICH AE2 N - D R AH0 - S EH1 - V IH0 CH +ANDRY AE1 N - D R IY0 +ANDRZEJ AA1 N - D R EY2 +ANDRZEJEWSKI AH0 N - JH EY0 - EH1 F S - K IY0 +ANDS AE1 N D Z +ANDUJAR AA0 N - D UW0 - Y AA1 R +ANDY AE1 N - D IY0 +ANDY'S AE1 N - D IY0 Z +ANECDOTAL AE2 - N AH0 K - D OW1 - T AH0 L +ANECDOTAL(2) AE2 - N IH0 K - D OW1 - T AH0 L +ANECDOTALLY AE2 - N AH0 K - D OW1 - T AH0 L - IY0 +ANECDOTALLY(2) AE2 - N IH0 K - D OW1 - T AH0 L - IY0 +ANECDOTE AE1 - N AH0 K - D OW2 T +ANECDOTES AE1 - N AH0 K - D OW2 T S +ANECDOTES(2) AE1 - N IH0 K - D OW2 T S +ANELLO AH0 N - EH1 - L OW0 +ANEMIA AH0 - N IY1 - M IY0 - AH0 +ANEMIAS AH0 - N IY1 - M IY0 - AH0 Z +ANEMIC AH0 - N IY1 - M IH0 K +ANEMOMETER AE2 - N AH0 - M AA1 - M AH0 - T ER0 +ANEMONE AE1 - N IH0 - M OW2 N +ANEMONE(2) AH0 N - EH1 - M AH0 - N IY0 +ANENCEPHALIC AE0 - N EH2 N - S AH0 - F AE1 - L IH0 K +ANENCEPHALIC(2) AE0 - N IH0 N - S EH1 - F AH0 - L IH0 K +ANENCEPHALY AE0 - N IH0 N - S EH1 - F AH0 - L IY0 +ANESTACHIO AE2 - N IH0 - S T AE1 - CH IY0 - OW0 +ANESTHESIA AE2 - N IH0 S - TH IY1 - ZH AH0 +ANESTHESIOLOGIST AE2 - N AH0 S - TH IY2 - Z IY0 - AA1 - L AH0 - JH AH0 S T +ANESTHESIOLOGISTS AE2 - N AH0 S - TH IY2 - Z IY0 - AA1 - L AH0 - JH AH0 S T S +ANESTHESIOLOGISTS(2) AE2 - N AH0 S - TH IY2 - Z IY0 - AA1 - L AH0 - JH AH0 S S +ANESTHESIOLOGISTS(3) AE2 - N AH0 S - TH IY2 - Z IY0 - AA1 - L AH0 - JH AH0 S +ANESTHESIOLOGY AE2 - N AH0 S - TH IY0 - Z IY0 - AA1 - L AH0 - JH IY0 +ANESTHETIC AE2 - N AH0 S - TH EH1 - T IH0 K +ANESTHETICS AE2 - N AH0 S - TH EH1 - T IH0 K S +ANESTHETIST AH0 N - EH1 S - TH AH0 - T AH0 S T +ANETTE AH0 N - EH1 T +ANEURISM AE1 - N Y UH0 - R IH2 - Z AH0 M +ANEURISM(2) AE1 - N Y UH0 - R IH2 Z M +ANEW AH0 - N UW1 +ANEW(2) AH0 - N Y UW1 +ANFAL EY1 - EH1 - N EH1 - F EY1 - EH1 L +ANFAL(2) AE1 N - F AA0 L +ANFINSON AE1 N - F IH0 N - S AH0 N +ANG AE1 NG +ANGE EY1 N JH +ANGEL EY1 N - JH AH0 L +ANGELA AE1 N - JH AH0 - L AH0 +ANGELA'S AE1 N - JH AH0 - L AH0 Z +ANGELENO AE2 N - JH AH0 - L EH1 - N OW0 +ANGELENO(2) AE2 N - JH AH0 - L IY1 - N OW0 +ANGELENOS AE2 N - JH AH0 - L EH1 - N OW0 Z +ANGELENOS(2) AE2 N - JH AH0 - L IY1 - N OW0 Z +ANGELES AE1 N - JH AH0 - L IH0 S +ANGELES' AE1 N - JH AH0 - L IY2 Z +ANGELES'S AE1 N - JH AH0 - L IH0 - S IH0 Z +ANGELETTI AA0 NG - G EH0 - L EH1 - T IY0 +ANGELFISH EY1 N - JH AH0 L - F IH2 SH +ANGELI AA0 NG - G EH1 - L IY0 +ANGELIC AE2 N - JH EH1 - L IH0 K +ANGELICA AE0 N - JH EH1 - L IH0 - K AH0 +ANGELICA(2) AE1 N - JH AH0 - L IY2 - K AH0 +ANGELICALLY AE0 N - JH EH1 - L IH0 K - L IY0 +ANGELICAS AE0 N - JH EH1 - L IH0 - K AH0 Z +ANGELICO AA0 NG - G EH0 - L IY1 - K OW0 +ANGELIKA AE0 N - JH EH1 - L IH2 - K AH0 +ANGELILLO AA0 NG - G EH0 - L IH1 - L OW0 +ANGELINA AE0 N - JH EH0 - L IY1 - N AH0 +ANGELINE EY1 NG - G IH0 - L AY0 N +ANGELINE(2) AE1 N - JH AH0 - L IY0 N +ANGELINI AA0 NG - G EH0 - L IY1 - N IY0 +ANGELINO AE2 N - JH AH0 - L IY1 - N OW0 +ANGELINO'S AE2 N - JH AH0 - L IY1 - N OW0 Z +ANGELINO'S(2) AA2 NG - G EH0 - L IY1 - N OW0 Z +ANGELINO(2) AA2 NG - G EH0 - L IY1 - N OW0 +ANGELINOS AE2 N - JH AH0 - L IY1 - N OW0 Z +ANGELINOS(2) AE2 NG - G AH0 - L IY1 - N OW0 Z +ANGELITA AA0 NG - G EH0 - L IY1 - T AH0 +ANGELL EY1 N - JH AH0 L +ANGELLE EY0 NG - G EH1 L +ANGELLO AE2 N - JH EH1 - L OW0 +ANGELO AE1 N - JH AH0 - L OW2 +ANGELO'S AE1 N - JH AH0 - L OW2 Z +ANGELOFF EY1 NG - G IH0 - L AO0 F +ANGELOFF(2) AE1 N - JH IH0 - L AO0 F +ANGELONE AA0 NG - G EH0 - L OW1 - N IY0 +ANGELONI AA0 NG - G EH0 - L OW1 - N IY0 +ANGELOS AE1 N - JH AH0 - L OW2 Z +ANGELOU AE1 N - JH AH0 - L UW2 +ANGELOZ AE1 N - JH AH0 - L OW2 Z +ANGELS EY1 N - JH AH0 L Z +ANGELS' EY1 N - JH AH0 L Z +ANGELUCCI AA0 NG - G EH0 - L UW1 - CH IY0 +ANGER AE1 NG - G ER0 +ANGERED AE1 NG - G ER0 D +ANGERER AE1 NG - G ER0 - ER0 +ANGERING AE1 NG - G ER0 - IH0 NG +ANGERMAN AE1 - NG ER0 - M AH0 N +ANGERMEIER EY1 NG - G ER0 - M AY0 - ER0 +ANGERS AE1 NG - G ER0 Z +ANGERT EY1 NG - G ER0 T +ANGEVINE EY1 NG - G IH0 - V AY0 N +ANGI AE1 N - JH IY0 +ANGIE AE1 N - JH IY0 +ANGIER AE1 N - JH IY0 - ER0 +ANGINA AE0 N - JH AY1 - N AH0 +ANGIO AE1 N - JH IY0 - OW0 +ANGIOGRAM AE1 N - JH IY0 - OW0 - G R AE0 M +ANGIOMEDIC AE2 N - JH IY0 - OW0 - M EH1 - D IH0 K +ANGIOMEDICS AE2 N - JH IY0 - OW0 - M EH1 - D IH0 K S +ANGIOPLASTY AE1 N - JH IY0 - AH0 - P L AE2 - S T IY0 +ANGIOTENSIN AE2 N - JH IY0 - OW0 - T EH1 N - S IH0 N +ANGLE AE1 NG - G AH0 L +ANGLED AE1 NG - G AH0 L D +ANGLEMYER AE1 NG - G AH0 L - M AY0 - ER0 +ANGLEN AE1 NG - G AH0 - L AH0 N +ANGLER AE1 NG - G L ER0 +ANGLERS AE1 NG - G L ER0 Z +ANGLES AE1 NG - G AH0 L Z +ANGLETON AE1 NG - G AH0 L - T AH0 N +ANGLEY AE1 NG - G L IY0 +ANGLIA AE1 NG - G L IY0 - AH0 +ANGLICAN AE1 NG - G L AH0 - K AH0 N +ANGLICIZE AE1 NG - L IH0 - S AY2 Z +ANGLICIZED AE1 NG - L IH0 - S AY2 Z D +ANGLIM AE1 NG - G L IH0 M +ANGLIN AE1 NG - G L IH0 N +ANGLING AE1 NG - G L IH0 NG +ANGLO AE1 NG - G L OW0 +ANGLO-CATHOLICISM AE1 NG - G L OW0 - K AH0 - TH AO1 - L AH0 - S IH2 - Z AH0 M +ANGLOS AE1 NG - G L OW0 Z +ANGLOS(2) AE1 NG - G L OW0 S +ANGOLA AE0 NG - G OW1 - L AH0 +ANGOLA'S AE0 NG - G OW1 - L AH0 Z +ANGOLAN AE1 NG - G OW0 - L AH0 N +ANGOLANS AE1 NG - G OW0 - L AH0 N Z +ANGORA AE0 NG - G AO1 - R AH0 +ANGORAS AE0 NG - G AO1 - R AH0 Z +ANGOTTI AA0 NG - G OW1 - T IY0 +ANGOVE AA0 NG - G OW1 - V IY0 +ANGRIER AE1 NG - G R IY0 - ER0 +ANGRIEST AE1 NG - G R IY0 - AH0 S T +ANGRILY AE1 NG - G R AH0 - L IY0 +ANGRY AE1 NG - G R IY0 +ANGST AA1 NG K S T +ANGSTADT AE1 NG SH - T AE0 T +ANGSTADT(2) AE1 NG - S T AE0 T +ANGSTROM AE1 NG - S T R AH0 M +ANGSTROMS AE1 NG - S T R AH0 M Z +ANGUIANO AA0 NG - G IY0 - AA1 - N OW0 +ANGUILLA AE2 NG - W IH1 - L AH0 +ANGUISH AE1 NG - G W IH0 SH +ANGUISHED AE1 NG - G W IH0 SH T +ANGUISHING AE1 NG - G W IH0 - SH IH0 NG +ANGULAR AE1 NG - G Y AH0 - L ER0 +ANGULATE AE1 NG - G Y UW0 - L EY2 T +ANGULATED AE1 NG - G Y UW0 - L EY2 - T IH0 D +ANGULO AA0 NG - G UW1 - L OW0 +ANGUS AE1 NG - G AH0 S +ANGY AE1 N - JH IY0 +ANHALT AE1 N - HH AH0 L T +ANHEUSER AE1 N - HH AY2 - Z ER0 +ANHEUSER'S AE2 N - HH Y UW1 - Z ER0 Z +ANHYDRIDE AE0 N - HH AY1 - D R IH0 D +ANIBAL AE1 - N IH0 - B AH0 L +ANIKST AE1 - N IH0 K S T +ANILINE AE1 - N AH0 - L IY2 N +ANIMAL AE1 - N AH0 - M AH0 L +ANIMAL'S AE1 - N AH0 - M AH0 L Z +ANIMALS AE1 - N AH0 - M AH0 L Z +ANIMALS' AE1 - N AH0 - M AH0 L Z +ANIMATE AE1 - N AH0 - M AH0 T +ANIMATE(2) AE1 - N AH0 - M EY2 T +ANIMATED AE1 - N AH0 - M EY2 - T AH0 D +ANIMATED(2) AE1 - N AH0 - M EY2 - T IH0 D +ANIMATES AE1 - N AH0 - M AH0 T S +ANIMATES(2) AE1 - N AH0 - M EY2 T S +ANIMATION AE2 - N AH0 - M EY1 - SH AH0 N +ANIMATIONS AE2 - N AH0 - M EY1 - SH AH0 N Z +ANIMATOR AE1 - N AH0 - M EY2 - T ER0 +ANIMATORS AE1 - N AH0 - M EY2 - T ER0 Z +ANIMISM AE1 - N AH0 - M IH2 - Z AH0 M +ANIMIST AE1 - N AH0 - M AH0 S T +ANIMISTS AE1 - N AH0 - M AH0 S T S +ANIMISTS(2) AE1 - N AH0 - M AH0 S S +ANIMISTS(3) AE1 - N AH0 - M AH0 S +ANIMOSITIES AE2 - N AH0 - M AA1 - S AH0 - T IY0 Z +ANIMOSITY AE2 - N AH0 - M AA1 - S AH0 - T IY0 +ANIMOUS AE1 - N IH0 - M AH0 S +ANIMUS AE1 - N IH0 - M AH0 S +ANINAT AE1 - N IH0 - N AE0 T +ANISE AE1 - N AH0 S +ANISEED AE1 - N AH0 - S IY2 D +ANISETTE AE2 - N AH0 - S EH1 T +ANITA AH0 N - IY1 - T AH0 +ANITEC AE1 - N IH0 - T EH2 K +ANITOLE AE1 - N IH0 - T OW0 L +ANIXTER AE1 - N IH0 K - S T ER0 +ANJA AA1 N - JH AH0 +ANJELICA AE0 N - JH EH1 - L AH0 - K AH0 +ANKARA AE1 NG - K ER0 - AH0 +ANKARA'S AE1 NG - K ER0 - AH0 Z +ANKENEY AH0 NG - K EH1 - N IY0 +ANKENY AH0 NG - K IY1 - N IY0 +ANKER AE1 NG - K ER0 +ANKERIUM AE0 NG - K ER1 - IY0 - AH0 M +ANKLAM AE1 NG - K L AH0 M +ANKLE AE1 NG - K AH0 L +ANKLEBONE AE1 NG - K AH0 L - B OW2 N +ANKLES AE1 NG - K AH0 L Z +ANKLET AE1 NG - K L IH0 T +ANKLETS AE1 NG - K L AH0 T S +ANKNEY AE1 NG K - N IY0 +ANKROM AE1 NG - K R AH0 M +ANKRUM AE1 NG - K R AH0 M +ANN AE1 N +ANN'S AE1 N Z +ANNA AE1 - N AH0 +ANNA'S AE1 - N AH0 Z +ANNABEL AE1 - N AH0 - B EH2 L +ANNABELLA AE2 - N AH0 - B EH1 - L AH0 +ANNABELLE AE1 - N AH0 - B AH0 L +ANNABLE AE1 - N AH0 - B AH0 L +ANNAL AE1 - N AH0 L +ANNALS AE1 - N AH0 L Z +ANNAMESE AE2 - N AH0 - M IY1 Z +ANNAN AE1 - N AH0 N +ANNANDALE AE1 - N AH0 N - D EY2 L +ANNAPOLIS AH0 N - AE1 - P AH0 - L IH0 S +ANNAPOLIS'S AH0 N - AE1 - P AH0 - L IH0 - S IH0 Z +ANNAS AE1 - N AH0 Z +ANNE AE1 N +ANNE'S AE1 N Z +ANNEAL AH0 - N IY1 L +ANNEALING AH0 - N IY1 - L IH0 NG +ANNELID AE1 - N AH0 - L IH0 D +ANNELIDS AE1 - N AH0 - L IH0 D Z +ANNEN AE1 - N AH0 N +ANNENBERG AE1 - N AH0 N - B ER0 G +ANNESE AA0 - N EY1 - Z IY0 +ANNETT AH0 N - EH1 T +ANNETTE AH0 N - EH1 T +ANNEX AE1 - N EH2 K S +ANNEX(2) AH0 - N EH1 K S +ANNEXATION AE2 - N EH0 K - S EY1 - SH AH0 N +ANNEXED AE1 - N EH0 K S T +ANNEXED(2) AH0 - N EH1 K S T +ANNEXES AE1 - N EH2 K - S IH0 Z +ANNEXING AH0 - N EH1 K - S IH0 NG +ANNICK AE1 - N IH0 K +ANNIE AE1 - N IY0 +ANNIE'S AE1 - N IY2 Z +ANNIHILATE AH0 - N AY1 - AH0 - L EY2 T +ANNIHILATED AH0 - N AY1 - AH0 - L EY2 - T IH0 D +ANNIHILATION AH0 - N AY2 - AH0 - L EY1 - SH AH0 N +ANNIS AE1 - N IY0 Z +ANNISTON AE1 - N IH0 - S T IH0 N +ANNISTON(2) AE1 - N IH0 - S IH0 N +ANNIVERSARIES AE2 - N AH0 - V ER1 - S ER0 - IY0 Z +ANNIVERSARY AE2 - N AH0 - V ER1 - S ER0 - IY0 +ANNO AE1 - N OW0 +ANNOTATE AE1 - N AH0 - T EY2 T +ANNOTATED AE2 - N AH0 - T EY1 - T IH0 D +ANNOTATED(2) AE1 - N AH0 - T EY2 - T AH0 D +ANNOTATES AE2 - N AH0 - T EY1 T S +ANNOTATES(2) AE1 - N AH0 - T EY2 T S +ANNOTATING AE2 - N AH0 - T EY1 - T IH0 NG +ANNOTATING(2) AE1 - N AH0 - T EY2 - T IH0 NG +ANNOTATION AE2 - N AH0 - T EY1 - SH AH0 N +ANNOTATIONS AE2 - N AH0 - T EY1 - SH AH0 N Z +ANNOUNCE AH0 - N AW1 N S +ANNOUNCED AH0 - N AW1 N S T +ANNOUNCEMENT AH0 - N AW1 N - S M AH0 N T +ANNOUNCEMENT(2) AH0 - N AW1 N - S M EH0 N T +ANNOUNCEMENTS AH0 - N AW1 N - S M AH0 N T S +ANNOUNCER AH0 - N AW1 N - S ER0 +ANNOUNCERS AH0 - N AW1 N - S ER0 Z +ANNOUNCES AH0 - N AW1 N - S IH0 Z +ANNOUNCING AH0 - N AW1 N - S IH0 NG +ANNOUNCMENT AH0 - N AW1 N - S M AH0 N T +ANNOY AH0 - N OY1 +ANNOYANCE AH0 - N OY1 - AH0 N S +ANNOYANCES AH0 - N OY1 - AH0 N - S IH0 Z +ANNOYED AH0 - N OY1 D +ANNOYING AH0 - N OY1 - IH0 NG +ANNOYS AH0 - N OY1 Z +ANNUAL AE1 - N Y UW0 - AH0 L +ANNUALIZE AE1 - N Y UW0 - W AH0 - L AY2 Z +ANNUALIZED AE1 - N Y UW0 - W AH0 - L AY2 Z D +ANNUALLY AE1 - N Y UW0 - AH0 - L IY0 +ANNUALS AE1 - N UW0 - AH0 L Z +ANNUITIES AH0 - N UW1 - IH0 - T IY0 Z +ANNUITY AH0 - N UW1 - AH0 - T IY0 +ANNUITY(2) AH0 - N UW1 - IH0 - T IY0 +ANNUITY(3) AH0 N - Y UW1 - IH0 - T IY0 +ANNUL AE1 - N AH0 L +ANNULAR AE1 - N Y AH0 - L ER0 +ANNULLED AE1 - N AH0 L D +ANNULMENT AE1 - N AH0 L - M AH0 N T +ANNUM AE1 - N AH0 M +ANNUNCIATA AA0 - N UW0 N - CH AA1 - T AH0 +ANNUNZIATA AA0 - N UW0 N - Z IY0 - AA1 - T AH0 +ANNUNZIATO AA0 - N UW0 N - Z IY0 - AA1 - T OW0 +ANNUNZIO AH0 N - AH1 N - Z IY0 - OW0 +ANNUNZIO(2) AH0 - N UW1 N - Z IY0 - OW0 +ANNY AE1 - N IY0 +ANODE AE1 - N OW2 D +ANODES AE1 - N OW2 D Z +ANOINT AH0 - N OY1 N T +ANOINTED AH0 - N OY1 N - T AH0 D +ANOINTED(2) AH0 - N OY1 N - T IH0 D +ANOINTED(3) AH0 - N OY1 - N AH0 D +ANOINTED(4) AH0 - N OY1 - N IH0 D +ANOMALIES AH0 - N AA1 - M AH0 - L IY0 Z +ANOMALOUS AH0 - N AA1 - M AH0 - L AH0 S +ANOMALY AH0 - N AA1 - M AH0 - L IY0 +ANOMIE AE1 - N AH0 - M IY0 +ANONA AA0 - N OW1 - N AH0 +ANONYMITY AE2 - N AH0 - N IH1 - M IH0 - T IY0 +ANONYMOUS AH0 - N AA1 - N AH0 - M AH0 S +ANONYMOUSLY AH0 - N AA1 - N AH0 - M AH0 S - L IY0 +ANORA AA0 - N AO1 - R AH0 +ANORAK AE1 - N ER0 - AE2 K +ANOREXIA AE2 - N ER0 - EH1 K - S IY0 - AH0 +ANOREXIC AE2 - N ER0 - EH1 K - S IH0 K +ANOREXICS AE2 - N ER0 - EH1 K - S IH0 K S +ANORTHITE AE0 - N AO1 R - TH AY2 T +ANOTHER AH0 - N AH1 - DH ER0 +ANOTHER'S AH0 - N AH1 - DH ER0 Z +ANREDER AE1 N - R EH2 - D ER0 +ANRIG AE1 N - R IH0 G +ANSA AE1 N - S AH0 +ANSA'S AE1 N - S AH0 Z +ANSAID AE1 N - S EY2 D +ANSALDO AE0 N - S AA1 L - D OW0 +ANSANG AE1 N - S AE0 NG +ANSARI AA0 N - S AA1 - R IY0 +ANSBACHER AE1 N Z - B AA2 - K ER0 +ANSCHEL AE1 N - SH AH0 L +ANSCHLUSS AE1 N SH - L AH0 S +ANSCHLUSS(2) AA1 N SH - L UW0 S +ANSCHUTZ AE1 N - SH AH0 T S +ANSCOM AH0 N - S K AA1 M +ANSCOMB AH0 N - S K AA1 M +ANSE AE1 N S +ANSEL AH0 N - S EH1 L +ANSELL AE1 N - S EH2 L +ANSELM AE1 N - S EH0 L M +ANSELMA AA0 N - S EH1 L - M AH0 +ANSELMI AA0 N - S EH1 L - M IY0 +ANSELMO AA0 N - S EH1 L - M OW0 +ANSETT AE1 N - S EH2 T +ANSGAR AE1 N S - G AA0 R +ANSGAR'S AE1 N S - G AA0 R Z +ANSHAN AE1 N - SH AH0 N +ANSIN AE1 N - S IH0 N +ANSLEY AE1 N S - L IY0 +ANSON AE1 N - S AH0 N +ANSONIA AE0 N - S OW1 - N IY0 - AH0 +ANSPACH AE1 N - S P AA2 K +ANSPAUGH AH0 N - S P AO1 +ANSTEAD AE1 N - S T EH2 D +ANSTETT AH0 N - S T EH1 T +ANSTEY AE1 N - S T IY0 +ANSTICE AA1 N - S T IH0 S +ANSTINE AA0 N - S T IY1 - N IY0 +ANSTISS AE1 N - S T IH0 S +ANSWER AE1 N - S ER0 +ANSWER'S AE1 N - S ER0 Z +ANSWERABLE AE1 N - S ER0 - AH0 - B AH0 L +ANSWERED AE1 N - S ER0 D +ANSWERING AE1 N - S ER0 - IH0 NG +ANSWERS AE1 N - S ER0 Z +ANT AE1 N T +ANTACID AE0 N - T AE1 - S AH0 D +ANTACIDS AE0 N - T AE1 - S AH0 D Z +ANTAGONISM AE0 N - T AE1 - G AH0 - N IH2 - Z AH0 M +ANTAGONISMS AE0 N - T AE1 - G AH0 - N IH2 - Z AH0 M Z +ANTAGONIST AE0 N - T AE1 - G AH0 - N AH0 S T +ANTAGONISTIC AE0 N - T AE2 - G AH0 - N IH1 - S T IH0 K +ANTAGONISTS AE0 N - T AE1 - G AH0 - N AH0 S T S +ANTAGONISTS(2) AE0 N - T AE1 - G AH0 - N AH0 S S +ANTAGONISTS(3) AE0 N - T AE1 - G AH0 - N AH0 S +ANTAGONIZE AE0 N - T AE1 - G AH0 - N AY2 Z +ANTAGONIZED AE0 N - T AE1 - G AH0 - N AY2 Z D +ANTAGONIZING AE0 N - T AE1 - G AH0 - N AY2 - Z IH0 NG +ANTAL AE1 N - T AH0 L +ANTAR AE1 N - T ER0 +ANTAR'S AE1 N - T ER0 Z +ANTARCTIC AE0 N - T AA1 R K - T IH0 K +ANTARCTIC(2) AE0 - N AA1 R - T IH0 K +ANTARCTICA AE2 N - T AA1 R K - T IH0 - K AH0 +ANTARCTICA'S AE2 N - T AA1 R K - T IH0 - K AH0 Z +ANTARCTICA(2) AE2 - N AA1 R - T IH0 - K AH0 +ANTARES AE0 N - T EH1 - R IY0 Z +ANTAYA AA0 N - T EY1 - AH0 +ANTCZAK AE1 N T - CH AE0 K +ANTE AE1 N - T IY0 +ANTEATER AE1 N T - IY2 - T ER0 +ANTEATERS AE1 N T - IY2 - T ER0 Z +ANTEBELLUM AE2 N - T IH0 - B EH1 - L AH0 M +ANTEC AE1 N - T EH2 K +ANTECEDENT AE2 N - T EH1 - S AH0 - D AH0 N T +ANTECEDENT(2) AE2 N - T IH0 - S IY1 - D AH0 N T +ANTECEDENTS AE2 N - T IH0 - S IY1 - D AH0 N T S +ANTECEDENTS(2) AE2 N - T EH1 - S AH0 - D AH0 N T S +ANTED AE1 N - T IH0 D +ANTED(2) AE1 N - T IY0 D +ANTELL AE0 N - T EH1 L +ANTELOPE AE1 N - T AH0 - L OW2 P +ANTEMERIDIAN AE2 N - T AH0 - M EH0 - R IH1 - D IY0 - AH0 N +ANTEMORTEM AE0 N - T AH0 - M AO1 R - T AH0 M +ANTENNA AE0 N - T EH1 - N AH0 +ANTENNA'S AE0 N - T EH1 - N AH0 Z +ANTENNAE AE0 N - T EH1 - N IY0 +ANTENNAS AE0 N - T EH1 - N AH0 Z +ANTENNE AE0 N - T EH1 N +ANTENUCCI AE0 N - T IH0 - N UW1 - CH IY0 +ANTERIOR AE0 N - T IH1 - R IY0 - ER0 +ANTERIORMOST AE0 N - T IH1 - R IY0 - ER0 - M OW2 S T +ANTES AE1 N - T IY0 Z +ANTHEA AE1 N - TH IY0 - AH0 +ANTHEM AE1 N - TH AH0 M +ANTHEMS AE1 N - TH AH0 M Z +ANTHES AE1 N - DH AH0 Z +ANTHIEL AE1 N - TH IY0 - AH0 L +ANTHILL AE1 N T - HH IH2 L +ANTHILLS AE1 N T - HH IH2 L Z +ANTHIS AE1 N - TH IH0 S +ANTHOLOGIES AE0 N - TH AA1 - L AH0 - JH IY0 Z +ANTHOLOGY AE0 N - TH AA1 - L AH0 - JH IY0 +ANTHON AE1 N - TH AH0 N +ANTHONY AE1 N - TH AH0 - N IY0 +ANTHONY'S AE1 N - TH AH0 - N IY0 Z +ANTHRACITE AE1 N - TH R AH0 - S AY2 T +ANTHRAX AE1 N - TH R AE0 K S +ANTHROBOT AE1 N - TH R OW0 - B AH2 T +ANTHROPOCENTRIC AE2 N - TH R AH0 - P AH0 - S EH1 N - T R IH0 K +ANTHROPOLOGICAL AE2 N - TH R AH0 - P AH0 - L AA1 - JH AH0 - K AH0 L +ANTHROPOLOGIST AE2 N - TH R AH0 - P AA1 - L AH0 - JH AH0 S T +ANTHROPOLOGIST(2) AE2 N - TH R AH0 - P AA1 - L AH0 - JH IH0 S T +ANTHROPOLOGISTS AE2 N - TH R AH0 - P AA1 - L AH0 - JH AH0 S T S +ANTHROPOLOGISTS(2) AE2 N - TH R AH0 - P AA1 - L AH0 - JH IH0 S T S +ANTHROPOLOGISTS(3) AE2 N - TH R AH0 - P AA1 - L AH0 - JH IH0 S S +ANTHROPOLOGISTS(4) AE2 N - TH R AH0 - P AA1 - L AH0 - JH IH0 S +ANTHROPOLOGY AE2 N - TH R AH0 - P AA1 - L AH0 - JH IY0 +ANTHROPOMORPHIC AE2 N - TH R AH0 - P AH0 - M AO1 R - F IH0 K +ANTI AE1 N - T IY0 +ANTI(2) AE1 N - T AY0 +ANTI-CATHOLICISM AE1 N - T IY0 - K AH0 - TH AO1 - L AH0 - S IH2 - Z AH0 M +ANTI-CATHOLICISM(2) AE1 N - T AY0 - K AH0 - TH AO1 - L AH0 - S IH2 - Z AH0 M +ANTI-FEDERALIST AE2 N - T IY0 - F EH1 - D R AH0 - L IH0 S T +ANTI-FEDERALISTS AE2 N - T IY0 - F EH1 - D R AH0 - L AH0 S T S +ANTI-FEDERALISTS(2) AE2 N - T IY0 - F EH1 - D R AH0 - L AH0 S S +ANTI-FEDERALISTS(3) AE2 N - T IY0 - F EH1 - D R AH0 - L AH0 S +ANTI-INFECTIVE AE1 N - T IY0 - IH0 N - F EH1 K - T IH0 V +ANTIABORTION AE1 N - T IY0 - AH0 - B AO1 R - SH AH0 N +ANTIABORTION(2) AE1 N - T AY0 - AH0 - B AO1 R - SH AH0 N +ANTIAIRCRAFT AE2 N - T AY0 - EH1 R - K R AE2 F T +ANTIBACTERIAL AE2 N - T IY0 - B AE0 K - T IH1 - R IY0 - AH0 L +ANTIBALLISTIC AE2 N - T IY0 - B AH0 - L IH1 - S T IH0 K +ANTIBIOTIC AE2 N - T IY0 - B IY0 - AA1 - T IH0 K +ANTIBIOTIC(2) AE2 N - T AY0 - B AY0 - AA1 - T IH0 K +ANTIBIOTICOS AE2 N - T IY0 - B IY0 - AA1 - T IH0 - K OW0 S +ANTIBIOTICS AE2 N - T IY0 - B IY0 - AA1 - T IH0 K S +ANTIBIOTICS(2) AE2 N - T AY0 - B AY0 - AA1 - T IH0 K S +ANTIBODIES AE1 N - T IH0 - B AA2 - D IY0 Z +ANTIBODIES(2) AE1 N - T IY0 - B AA2 - D IY0 Z +ANTIBODIES(3) AE1 - N IH0 - B AA2 - D IY0 Z +ANTIBODY AE1 N - T IH0 - B AA2 - D IY0 +ANTIBODY(2) AE1 N - T IY0 - B AA2 - D IY0 +ANTIC AE1 N - T IH0 K +ANTICANCER AE2 N - T AY2 - K AE1 N - S ER0 +ANTICANCER(2) AE2 N - T IY2 - K AE1 N - S ER0 +ANTICIPATE AE0 N - T IH1 - S AH0 - P EY2 T +ANTICIPATED AE0 N - T IH1 - S AH0 - P EY2 - T AH0 D +ANTICIPATED(2) AE0 N - T IH1 - S AH0 - P EY2 - T IH0 D +ANTICIPATES AE0 N - T IH1 - S AH0 - P EY2 T S +ANTICIPATING AE0 N - T IH1 - S AH0 - P EY2 - T IH0 NG +ANTICIPATION AE0 N - T IH2 - S AH0 - P EY1 - SH AH0 N +ANTICIPATION(2) AE0 N - T IH0 - S AH0 - P EY1 - SH AH0 N +ANTICIPATIONS AE0 N - T IH2 - S AH0 - P EY1 - SH AH0 N Z +ANTICIPATIONS(2) AE0 N - T IH0 - S AH0 - P EY1 - SH AH0 N Z +ANTICIPATORY AE0 N - T IH1 - S AH0 - P AH0 - T AO2 - R IY0 +ANTICLIMACTIC AE2 N - T IY0 - K L AY0 - M AE1 K - T IH0 K +ANTICLINE AE1 N - T IH0 - K L AY2 N +ANTICO AA0 N - T IY1 - K OW0 +ANTICOMMUNIST AE2 N - T IY0 - K AA1 - M Y AH0 - N IH0 S T +ANTICOMPETITIVE AE2 N - T IH0 - K AH0 M - P EH1 - T IH0 - T IH0 V +ANTICORRUPTION AE2 N - T AY2 - K ER0 - AH1 P - SH AH0 N +ANTICORRUPTION(2) AE2 N - T IY2 - K ER0 - AH1 P - SH AH0 N +ANTICRIME AE1 N - T IY0 - K R AY1 M +ANTICRIME(2) AE1 N - T AY0 - K R AY1 M +ANTICS AE1 N - T IH0 K S +ANTIDEPRESSANT AE2 N - T IY0 - D IH0 - P R EH1 - S AH0 N T +ANTIDEPRESSANTS AE2 N - T AY2 - D IH0 - P R EH1 - S AH0 N T S +ANTIDEPRESSANTS(2) AE2 N - T IY2 - D IH0 - P R EH1 - S AH0 N T S +ANTIDISCRIMINATION AE2 N - T IY0 - D IH0 - S K R IH2 - M AH0 - N EY1 - SH AH0 N +ANTIDISCRIMINATION(2) AE2 N - T AY0 - D IH0 - S K R IH2 - M AH0 - N EY1 - SH AH0 N +ANTIDOTE AE1 N - T IH0 - D OW2 T +ANTIDOTE(2) AE1 - N IH0 - D OW2 T +ANTIDRUG AE2 N - T IH0 - D R AH1 G +ANTIDUMPING AE2 N - T IY0 - D AH1 M - P IH0 NG +ANTIDUMPING(2) AE2 N - T AY0 - D AH1 M - P IH0 NG +ANTIFRAUD AE1 N - T IY0 - F R AA2 D +ANTIFRAUD(2) AE1 N - T AY0 - F R AA2 D +ANTIFREEZE AE1 N - T IY0 - F R IY2 Z +ANTIFUNGAL AE2 N - T AY2 - F AH1 NG - G AH0 L +ANTIFUNGAL(2) AE2 N - T IY2 - F AH1 NG - G AH0 L +ANTIGAY AE2 N - T AY2 - G EY1 +ANTIGAY(2) AE2 N - T IY2 - G EY1 +ANTIGEN AE1 N - T AH0 - JH AH0 N +ANTIGENS AE1 N - T IH0 - JH AH0 N Z +ANTIGONE AE0 - T IH1 - G AH0 - N IY0 +ANTIGONE'S AE0 N - T IH1 - G AH0 - N IY2 Z +ANTIGONES AE0 N - T IH1 - G AH0 - N IY2 Z +ANTIGOVERNMENT AE2 N - T IY0 - G AH1 - V ER0 - M AH0 N T +ANTIGOVERNMENT(2) AE2 N - T AY0 - G AH1 - V ER0 - M AH0 N T +ANTIGUA AE0 N - T IY1 - G W AH0 +ANTIHISTAMINE AE2 N - T IY0 - HH IH1 - S T AH0 - M AH0 N +ANTIHISTAMINES AE2 N - T IY0 - HH IH1 - S T AH0 - M AH0 N Z +ANTIKNOCK AE2 N - T IY0 - N AA1 K +ANTILL AE0 N - T IH1 L +ANTILLA AA0 N - T IH1 - L AH0 +ANTILLES AE0 N - T IH1 - L IY0 Z +ANTILOCK AE1 N - T IY0 - L AA1 K +ANTILOCK(2) AE1 N - T AY0 - L AA1 K +ANTIMISSILE AE2 N - T AY2 - M IH1 - S AH0 L +ANTIOCH AE1 N - T IY0 - AA2 K +ANTIOXIDANT AE2 N - T IY0 - AA1 K - S AH0 - D AH0 N T +ANTIOXIDANTS AE2 N - T IY0 - AA1 K - S AH0 - D AH0 N T S +ANTIPATHIES AE0 N - T IH1 - P AH0 - TH IY0 Z +ANTIPATHY AE0 N - T IH1 - P AH0 - TH IY0 +ANTIPERSONELL AE0 N - T AY2 - P ER0 - S AH0 - N EH1 L +ANTIPHON AE1 N - T AH0 - F AA2 N +ANTIPHON(2) AE1 N - T IH0 - F AA2 N +ANTIPHONS AE1 N - T AH0 - F AA2 N Z +ANTIPHONS(2) AE1 N - T IH0 - F AA2 N Z +ANTIPODAL AE0 N - T IH1 - P AH0 - D AH0 L +ANTIPOVERTY AE2 N - T AY0 - P AA1 - V ER0 - T IY0 +ANTIPOVERTY(2) AE2 N - T IY0 - P AA1 - V ER0 - T IY0 +ANTIQUATE AE1 N - T AH0 - K W EY2 T +ANTIQUATED AE1 N - T AH0 - K W EY2 - T AH0 D +ANTIQUATED(2) AE1 N - T AH0 - K W EY2 - T IH0 D +ANTIQUE AE0 N - T IY1 K +ANTIQUES AE0 N - T IY1 K S +ANTIQUITIES AE0 N - T IH1 - K W AH0 - T IY0 Z +ANTIQUITY AE0 N - T IH1 - K W AH0 - T IY0 +ANTIREFORMER AE2 N - T IY0 - R IH0 - F AO1 R - M ER0 +ANTIREFORMER(2) AE2 N - T AY0 - R IH0 - F AO1 R - M ER0 +ANTIREFORMERS AE2 N - T IY0 - R IH0 - F AO1 R - M ER0 Z +ANTIREFORMERS(2) AE2 N - T AY0 - R IH0 - F AO1 R - M ER0 Z +ANTIS AE1 N - T AY0 Z +ANTISENSE AE1 N - T IY0 - S EH2 N S +ANTISENSE(2) AE1 N - T AY0 - S EH2 N S +ANTISEPTIC AE2 N - T AH0 - S EH1 P - T IH0 K +ANTISMOKING AE1 N - T IY0 S - M OW1 - K IH0 NG +ANTISMOKING(2) AE1 N - T AY0 S - M OW1 - K IH0 NG +ANTISOCIAL AE2 N - T IH0 - S OW1 - SH AH0 L +ANTISOCIAL(2) AE2 N - T AY0 - S OW1 - SH AH0 L +ANTISUBMARINE AE2 N - T IH0 - S AH1 B - M ER0 - IY2 N +ANTISUBMARINE(2) AE2 N - T AY0 - S AH1 B - M ER0 - IY2 N +ANTITAKEOVER AE2 N - T IY0 - T EY1 K - OW2 - V ER0 +ANTITANK AE2 N - T IY0 - T AE1 NG K +ANTITAX AE2 N - T AY2 - T AE1 K S +ANTITAX(2) AE2 N - T IY2 - T AE1 K S +ANTITHEFT AE2 N - T AY2 - TH EH1 F T +ANTITHEFT(2) AE2 N - T IY2 - TH EH1 F T +ANTITHESIS AE0 N - T IH1 - TH AH0 - S AH0 S +ANTITHETICAL AE2 N - T AH0 - TH EH1 - T IH0 - K AH0 L +ANTITOXIN AE2 N - T IY0 - T AA1 K - S AH0 N +ANTITOXINS AE2 N - T IY0 - T AA1 K - S AH0 N Z +ANTITRUST AE2 N - T AY0 - T R AH1 S T +ANTIVIRAL AE2 N - T IY0 - V AY1 - R AH0 L +ANTIWAR AE2 N - T AY0 - W AO1 R +ANTIWAR(2) AE2 N - T IY0 - W AO1 R +ANTKOWIAK AH0 N T - K AW1 - IY0 - AE0 K +ANTLE AE1 N - T AH0 L +ANTLER AE1 N T - L ER0 +ANTLERED AE1 N T - L ER0 D +ANTLERS AE1 N T - L ER0 Z +ANTLEY AE1 N T - L IY0 +ANTOINE AA0 N T - W AA1 N +ANTOINETTE AE2 N - T W AH0 - N EH1 T +ANTOL AA0 N - T AO1 L +ANTOLIK AE1 N - T AH0 - L IH0 K +ANTOLINI AE2 N - T OW0 - L IY1 - N IY0 +ANTON AE1 N - T AO2 N +ANTONACCI AA0 N - T OW0 - N AA1 - CH IY0 +ANTONE AA0 N - T OW1 - N IY0 +ANTONELLI AA0 N - T OW0 - N EH1 - L IY0 +ANTONELLIS AE0 N - T AH0 - N EH1 - L IH0 S +ANTONETTI AA0 N - T OW0 - N EH1 - T IY0 +ANTONI AA0 N - T OW1 - N IY0 +ANTONIA AE0 N - T OW1 - N IY0 - AH0 +ANTONIN AE1 N - T AH0 - N IH0 N +ANTONINI AA0 N - T OW0 - N IY1 - N IY0 +ANTONINI'S AA0 N - T OW0 - N IY1 - N IY0 Z +ANTONIO AE0 N - T OW1 - N IY0 - OW0 +ANTONIO'S AE0 N - T OW1 - N IY0 - OW2 Z +ANTONIOU AA0 N - T OW0 - N IY1 - UW0 +ANTONIU AE2 N - T OW1 - N IY0 - UW0 +ANTONIU'S AE0 N - T OW1 - N IY0 - UW0 Z +ANTONIUS AE0 N - T OW1 - N IY0 - AH0 S +ANTONOPOULOS AE0 N - T AH0 - N AA1 - P AH0 - L IH0 S +ANTONOVICH AE2 N - T AA1 - N AH0 - V IH0 CH +ANTONSEN AH0 N - T AA1 N - S AH0 N +ANTONSON AE1 N - T AH0 N - S AH0 N +ANTONUCCI AA0 N - T OW0 - N UW1 - CH IY0 +ANTONY AE1 N - T AH0 - N IY0 +ANTOON AE2 N - T UW1 N +ANTOS AA1 N - T OW0 Z +ANTOSH AH0 N - T AA1 SH +ANTRIL AE1 N - T R IH0 L +ANTRIM AE1 N - T R IH0 M +ANTROBUS AE1 N - T R AH0 - B IH0 S +ANTS AE1 N T S +ANTSY AE1 N T - S IY0 +ANTTILA AA0 N - T IY1 - L AH0 +ANTUNA AA0 N - T UW1 - N AH0 +ANTUNES AA0 N - T UW1 - N EH0 S +ANTUNEZ AA0 N - T UW1 - N EH0 Z +ANTWERP AE1 N T - W ER0 P +ANTWINE AE1 N - T W AY2 N +ANVIL AE1 N - V AH0 L +ANWAR AE1 N - W AA0 R +ANWAR(2) AA1 N - W AA0 R +ANWAY AH0 N - W EY1 +ANWELL AH0 N - W EH1 L +ANWYL AE1 N - W IH0 L +ANWYLL AE1 N - 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AA1 N - L AY2 N +AON EY1 - OW0 N +AORTA EY0 - AO1 R - T AH0 +AORTIC EY0 - AO1 R - T IH0 K +AOSHIMA AW2 - SH IY1 - M AH0 +AOSHIMA(2) EY2 - OW0 - SH IY1 - M AH0 +AOUN AW1 - AH0 N +AOUN'S AW1 - AH0 N Z +AOUN'S(2) AW2 - UW1 N Z +AOUN(2) AW2 - UW1 N +AOUZOU AW2 - Y UW1 - Z UW0 +AOYAMA AW2 - Y AA1 - M AH0 +AOYAMA(2) EY2 - OW0 - Y AA1 - M AH0 +APACE AH0 - P EY1 S +APACHE AH0 - P AE1 - CH IY0 +APACHE'S AH0 - P AE1 - CH IY0 Z +APACHES AH0 - P AE1 - CH IY0 Z +APALACHICOLA AE2 - P AH0 - L AE2 - CH AH0 - K OW1 - L AH0 +APALACHICOLA'S AE2 - P AH0 - L AE2 - CH AH0 - K OW1 - L AH0 Z +APARICIO AE2 - P ER0 - IH1 - S IY0 - OW0 +APART AH0 - P AA1 R T +APARTHEID AH0 - P AA1 R T - AY2 T +APARTHEID'S AH0 - P AA1 R T - AY2 T S +APARTHEID'S(2) AH0 - P AA1 R - T AY2 D Z +APARTHEID(2) AH0 - P AA1 R T - AY2 D +APARTMENT AH0 - P AA1 R T - M AH0 N T +APARTMENTS AH0 - P AA1 R T - M AH0 N T S +APATHETIC AE2 - P AH0 - TH EH1 - T IH0 K +APATHY AE1 - P AH0 - TH IY0 +APATITE AE1 - P AH0 - T AY2 T +APATITES AE1 - P AH0 - T AY2 T S +APC EY1 - P IY1 - S IY1 +APC'S EY1 - P IY1 - S IY1 Z +APCAR AE1 P - K AA0 R +APCAR(2) AE1 P - G AA0 R +APE EY1 P +APEC EY1 - P EH2 K +APEC'S EY1 - P EH2 K S +APEL AA0 - P EH1 L +APELIKE EY1 - P L AY2 K +APENNINE AE1 - P AH0 - N IY2 N +APERTURE AE1 - P ER0 - CH ER0 +APES EY1 P S +APEX EY1 - P EH2 K S +APEX'S EY1 - P EH2 K - S IH0 Z +APFEL AE1 P - F AH0 L +APFELBAUM AE1 P - F AH0 L - B AW2 M +APGAR AE1 P - G ER0 +APHASIA AH0 - F EY1 - ZH AH0 +APHID AE1 - F AH0 D +APHID(2) EY1 - F AH0 D +APHIDS AE1 - F IH0 D Z +APHIDS(2) EY1 - F AH0 D Z +APHORISM AE1 - F ER0 - IH2 - Z AH0 M +APHORISMS AE1 - F ER0 - IH2 - Z AH0 M Z +APHRODISIAC AE2 - F R OW0 - D IY1 - Z IY0 - AE0 K +APHRODITE AE2 - F R AH0 - D AY1 - T IY0 +APHRODITE'S AE2 - F R AH0 - D AY1 - T IY0 Z +APHRODITES AE2 - F R AH0 - D AY1 - T IY0 Z +APICELLA AE2 - P IH0 - S EH1 - L AH0 +APIECE AH0 - P IY1 S +APING EY1 - P IH0 NG +APLENTY AH0 - P L EH1 N - T IY0 +APLIN AE1 - P L IH0 N +APLOMB AH0 - P L AA1 M +APNEA AE1 P - N IY0 - AH0 +APOCALYPSE AH0 - P AA1 - K AH0 - L IH2 P S +APOCALYPTIC AH0 - P AA2 - K AH0 - L IH1 P - T IH0 K +APOCRYPHAL AH0 - P AA1 - K R AH0 - F AH0 L +APODACA AA0 - P OW0 - D AA1 - K AH0 +APOGEE AE1 - P AH0 - JH IY2 +APOLITICAL EY2 - P AH0 - L IH1 - T IH0 - K AH0 L +APOLLINE AE1 - P AH0 - L AY2 N +APOLLINIAN AE2 - P AH0 - L IH1 - N IY0 - AH0 N +APOLLO AH0 - P AA1 - L OW0 +APOLLO'S AH0 - P AA1 - L OW0 Z +APOLLONIAN AE2 - P AH0 - L OW1 - N IY0 - AH0 N +APOLOGETIC AH0 - P AA2 - L AH0 - JH EH1 - T IH0 K +APOLOGETICALLY AH0 - P AA2 - L AH0 - JH EH1 - T IH0 K - L IY0 +APOLOGIES AH0 - P AA1 - L AH0 - JH IY0 Z +APOLOGIST AH0 - P AA1 - L AH0 - JH AH0 S T +APOLOGISTS AH0 - P AA1 - L AH0 - JH AH0 S T S +APOLOGISTS(2) AH0 - P AA1 - L AH0 - JH AH0 S S +APOLOGISTS(3) AH0 - P AA1 - L AH0 - JH AH0 S +APOLOGIZE AH0 - P AA1 - L AH0 - JH AY2 Z +APOLOGIZED AH0 - P AA1 - L AH0 - JH AY2 Z D +APOLOGIZES AH0 - P AA1 - L AH0 - JH AY2 - Z IH0 Z +APOLOGIZING AH0 - P AA1 - L AH0 - JH AY2 - Z IH0 NG +APOLOGY AH0 - P AA1 - L AH0 - JH IY0 +APONTE AH0 - P AA1 N - T IY0 +APOPA AH0 - P OW1 - P AH0 +APOPKA AH0 - P AO1 P - K AH0 +APOPLECTIC AE2 - P AH0 - P L EH1 K - T IH0 K +APOPLEXY AE1 - P AH0 - P L EH2 K - S IY0 +APOSTLE AH0 - P AA1 - S AH0 L +APOSTLES AH0 - P AA1 - S AH0 L Z +APOSTOL AE1 - P AH0 - S T AH0 L +APOSTOLOPOUL AH0 - P AA2 - S T OW0 - L OW0 - P UW1 L +APOSTROPHE AH0 - P AA1 S - T R AH0 - F IY0 +APOTHECARY AH0 - P AA1 - TH AH0 - K EH2 - R IY0 +APOTHEOSIS AH0 - P AA2 - TH IY0 - OW1 - S AH0 S +APP AE1 P +APPALACHIA AE2 - P AH0 - L AE1 - CH IY0 - AH0 +APPALACHIAN AE2 - P AH0 - L EY1 - CH AH0 N +APPALACHIAN(2) AE2 - P AH0 - L EY1 - SH AH0 N +APPALACHIAN(3) AE2 - P AH0 - L AE1 - CH AH0 N +APPALACHIANS AE2 - P AH0 - L EY1 - CH AH0 N Z +APPALACHIANS(2) AE2 - P AH0 - L EY1 - SH AH0 N Z +APPALACHIANS(3) AE1 - P AH0 - L AE1 - CH AH0 N Z +APPALL AH0 - P AO1 L +APPALLED AH0 - P AO1 L D +APPALLING AH0 - P AO1 - L IH0 NG +APPALLINGLY AH0 - P AO1 - L IH0 NG - L IY0 +APPALLS AH0 - P AO1 L Z +APPARATCHIK AE2 - P ER0 - AE1 - CH IH0 K +APPARATCHIKS AE2 - P ER0 - AE1 - CH IH0 K S +APPARATUS AE2 - P ER0 - AE1 - T AH0 S +APPARATUSES AE2 - P ER0 - AE1 - T AH0 - S AH0 Z +APPAREL AH0 - P AE1 - R AH0 L +APPAREL(2) AH0 - P EH1 - R AH0 L +APPARENT AH0 - P EH1 - R AH0 N T +APPARENTLY AH0 - P EH1 - R AH0 N T - L IY0 +APPARITION AE2 - P ER0 - IH1 - SH AH0 N +APPARITIONS AE2 - P ER0 - IH1 - SH AH0 N Z +APPEAL AH0 - P IY1 L +APPEALABLE AH0 - P IY1 - L AH0 - B AH0 L +APPEALED AH0 - P IY1 L D +APPEALING AH0 - P IY1 - L IH0 NG +APPEALINGLY AH0 - P IY1 - L IH0 NG - L IY0 +APPEALS AH0 - P IY1 L Z +APPEAR AH0 - P IH1 R +APPEARANCE AH0 - P IH1 - R AH0 N S +APPEARANCES AH0 - P IH1 - R AH0 N - S AH0 Z +APPEARED AH0 - P IH1 R D +APPEARING AH0 - P IH1 - R IH0 NG +APPEARS AH0 - P IH1 R Z +APPEASE AH0 - P IY1 Z +APPEASED AH0 - P IY1 Z D +APPEASEMENT AH0 - P IY1 Z - M AH0 N T +APPEASING AH0 - P IY1 - Z IH0 NG +APPEL AE1 - P AH0 L +APPELBAUM AE1 - P AH0 L - B AW2 M +APPELHANS AE1 - P IH0 L - HH AH0 N Z +APPELL AE1 - P AH0 L +APPELLATE AH0 - P EH1 - L IH0 T +APPELLATE(2) AH0 - P EH1 - L EY2 T +APPELLATION AE2 - P AH0 - L EY1 - SH AH0 N +APPELLATIONS AE2 - P AH0 - L EY1 - SH AH0 N Z +APPELMAN AE1 - P AH0 L - M AH0 N +APPELT AE1 - P IH0 L T +APPEND AH0 - P EH1 N D +APPENDAGE AH0 - P EH1 N - D IH0 JH +APPENDAGES AH0 - P EH1 N - D IH0 - JH IH0 Z +APPENDECTOMIES AE2 - P AH0 N - D EH1 K - T AH0 - M IY0 Z +APPENDECTOMY AE2 - P IH0 N - D EH1 K - T AH0 - M IY0 +APPENDED AH0 - P EH1 N - D IH0 D +APPENDIX AH0 - P EH1 N - D IH0 K S +APPENDIXES AH0 - P EH1 N - D IH0 K - S IH0 Z +APPENZELLER AE1 - P IH0 N - Z AH0 L - ER0 +APPERSON AE1 - P ER0 - S AH0 N +APPERT AE1 - P ER0 T +APPETITE AE1 - P AH0 - T AY2 T +APPETITES AE1 - P AH0 - T AY2 T S +APPETITO AE2 - P AH0 - T IY1 - T OW2 +APPETIZER AE1 - P AH0 - T AY2 - Z ER0 +APPETIZERS AE1 - P AH0 - T AY2 - Z ER0 Z +APPETIZING AE1 - P IH0 - T AY2 - Z IH0 NG +APPIA AE1 - P IY0 - AH0 +APPIAN AE1 - P IY0 - AH0 N +APPLAUD AH0 - P L AO1 D +APPLAUDED AH0 - P L AO1 - D AH0 D +APPLAUDED(2) AH0 - P L AO1 - D IH0 D +APPLAUDING AH0 - P L AO1 - D IH0 NG +APPLAUDS AH0 - P L AO1 D Z +APPLAUSE AH0 - P L AO1 Z +APPLE AE1 - P AH0 L +APPLE'S AE1 - P AH0 L Z +APPLEBAUM AE1 - P AH0 L - B AW2 M +APPLEBEE AE1 - P AH0 L - B IY2 +APPLEBEE'S AE1 - P AH0 L - B IY2 Z +APPLEBERRY AE1 - P AH0 L - B EH2 - R IY0 +APPLEBY AE1 - P IH0 L - B IY0 +APPLEGARTH AE1 - P L IH0 - G AA0 R TH +APPLEGATE AE1 - P AH0 L - G EY2 T +APPLEMAN AE1 - P AH0 L - M AH0 N +APPLEQUIST AE1 - P AH0 L - K W IH0 S T +APPLES AE1 - P AH0 L Z +APPLESAUCE AE1 - P AH0 L - S AO2 S +APPLESEED AE1 - P AH0 L - S IY2 D +APPLESHARE AE1 - P AH0 L - SH EH2 R +APPLETON AE1 - P AH0 L - T AH0 N +APPLEWHITE AE1 - P AH0 L - W AY2 T +APPLEYARD AE1 - P AH0 L - Y AA2 R D +APPLIANCE AH0 - P L AY1 - AH0 N S +APPLIANCES AH0 - P L AY1 - AH0 N - S AH0 Z +APPLIANCES(2) AH0 - P L AY1 - AH0 N - S IH0 Z +APPLICABILITY AE2 - P L AH0 - K AH0 - B IH1 - L AH0 - T IY0 +APPLICABLE AE1 - P L AH0 - K AH0 - B AH0 L +APPLICANT AE1 - P L IH0 - K AH0 N T +APPLICANT'S AE1 - P L IH0 - K AH0 N T S +APPLICANTS AE1 - P L IH0 - K AH0 N T S +APPLICANTS' AE1 - P L AH0 - K AH0 N T S +APPLICATION AE2 - P L AH0 - K EY1 - SH AH0 N +APPLICATIONS AE2 - P L AH0 - K EY1 - SH AH0 N Z +APPLICATOR AE1 - P L AH0 - K EY2 - T ER0 +APPLICATORS AE1 - P L AH0 - K EY2 - T ER0 Z +APPLIED AH0 - P L AY1 D +APPLIES AH0 - P L AY1 Z +APPLIN AE1 - P L IH0 N +APPLING AE1 - P AH0 L - IH0 NG +APPLING(2) AE1 - P L IH0 NG +APPLY AH0 - P L AY1 +APPLYING AH0 - P L AY1 - IH0 NG +APPOINT AH0 - P OY1 N T +APPOINTED AH0 - P OY1 N - T AH0 D +APPOINTED(2) AH0 - P OY1 N - T IH0 D +APPOINTEE AH0 - P OY0 N - T IY1 +APPOINTEE(2) AH0 - P OY1 N - T IY0 +APPOINTEES AH0 - P OY0 N - T IY1 Z +APPOINTEES(2) AH0 - P OY1 N - T IY0 Z +APPOINTING AH0 - P OY1 N - T IH0 NG +APPOINTIVE AH0 - P OY1 N - T IH0 V +APPOINTMENT AH0 - P OY1 N T - M AH0 N T +APPOINTMENTS AH0 - P OY1 N T - M AH0 N T S +APPOINTS AH0 - P OY1 N T S +APPORTION AH0 - P AO1 R - SH AH0 N +APPORTIONED AH0 - P AO1 R - SH AH0 N D +APPORTIONING AH0 - P AO1 R - SH AH0 N - IH0 NG +APPORTIONMENT AH0 - P AO1 R - 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P R OW1 - P R IY0 - AH0 T - N AH0 S +APPROPRIATES AH0 - P R OW1 - P R IY0 - EY2 T S +APPROPRIATING AH0 - P R OW1 - P R IY0 - EY2 - T IH0 NG +APPROPRIATION AH0 - P R OW2 - P R IY0 - EY1 - SH AH0 N +APPROPRIATIONS AH0 - P R OW2 - P R IY0 - EY1 - SH AH0 N Z +APPROPRIATOR AH0 - P R OW1 - P R IY0 - EY2 - T ER0 +APPROPRIATORS AH0 - P R OW1 - P R IY0 - EY2 - T ER0 Z +APPROVABLE AH0 - P R UW1 - V AH0 - B AH0 L +APPROVAL AH0 - P R UW1 - V AH0 L +APPROVALS AH0 - P R UW1 - V AH0 L Z +APPROVE AH0 - P R UW1 V +APPROVED AH0 - P R UW1 V D +APPROVES AH0 - P R UW1 V Z +APPROVING AH0 - P R UW1 - V IH0 NG +APPROVINGLY AH0 - P R UW1 - V IH0 NG - L IY0 +APPROXIMATE AH0 - P R AA1 K - S AH0 - M AH0 T +APPROXIMATE(2) AH0 - P R AA1 K - S AH0 - M EY2 T +APPROXIMATED AH0 - P R AA1 K - S AH0 - M EY2 - T AH0 D +APPROXIMATELY AH0 - P R AA1 K - S AH0 - M AH0 T - L IY0 +APPROXIMATES AH0 - P R AA1 K - S AH0 - M AH0 T S +APPROXIMATES(2) AH0 - P R AA1 K - S AH0 - M EY2 T S +APPROXIMATING AH0 - P R AA1 K - S IH0 - M EY2 - T IH0 NG +APPROXIMATION AH0 - P R AA2 K - S AH0 - M EY1 - SH AH0 N +APPROXIMATIONS AH0 - P R AA2 K - S AH0 - M EY1 - SH AH0 N Z +APPS AE1 P S +APRA EY1 - P R AH0 +APREA AA1 - P R IY0 - AH0 +APRICOT EY1 - P R AH0 - K AA2 T +APRICOTS AE1 - P R AH0 - K AA2 T S +APRIL EY1 - P R AH0 L +APRIL'S EY1 - P R AH0 L Z +APRILE AA1 - P R AH0 L +APRODIVA AE2 - P R AO0 - D IY1 - V AH0 +APRON EY1 - P R AH0 N +APRONS EY1 - P R AH0 N Z +APROPOS AE2 - P R AH0 - P OW1 +APSELL AE1 P - S AH0 L +APSEY AE1 P - S IY0 +APSO AE1 P - S OW0 +APSTAR AE1 P - S T AA2 R +APT AE1 P T +APTER AE1 P - T ER0 +APTITUDE AE1 P - T AH0 - T UW2 D +APTITUDES AE1 P - T AH0 - T UW2 D Z +APTIVA AE2 P - T IY1 - V AH0 +APTLY AE1 P T - L IY0 +APUZZO AA0 - P UW1 - Z OW0 +AQABA AH0 - K AA1 - B AH0 +AQAZADEH AE2 - K AH0 - Z AA1 - D EH2 +AQUA AE1 - K W AH0 +AQUA(2) AA1 - K W AH0 +AQUACULTURE AE1 - K W AH0 - K AH2 L - CH ER0 +AQUALUNG AE1 - K W AH0 - L AH0 NG +AQUAMARINE AA2 - K W AH0 - M ER0 - IY1 N +AQUANAUT AA1 - K W AH0 - N AA2 T +AQUANAUTS AA1 - K W AH0 - N AA2 T S +AQUARIST AH0 - K W EH1 - R AH0 S T +AQUARISTS AH0 - K W EH1 - R AH0 S T S +AQUARISTS(2) AH0 - K W EH1 - R AH0 S S +AQUARISTS(3) AH0 - K W EH1 - R AH0 S +AQUARIUM AH0 - K W EH1 - R IY0 - AH0 M +AQUARIUMS AH0 - K W EH1 - R IY0 - AH0 M Z +AQUARIUS AH0 - K W EH1 - R IY0 - AH0 S +AQUATIC AH0 - K W AA1 - T IH0 K +AQUATIC(2) AH0 - K W AE1 - T IH0 K +AQUEDUCT AE1 - K W AH0 - D AH2 K T +AQUEDUCTS AE1 - K W AH0 - D AH2 K T S +AQUEOUS EY1 - K W IY0 - AH0 S +AQUIFER AE1 - K W AH0 - F ER0 +AQUIFERS AE1 - K W AH0 - F ER0 Z +AQUILA AE1 - K W AH0 - L AH0 +AQUILAR AA0 - K W IY0 - L AA1 R +AQUILINA AA0 - K W IY0 - L IY1 - N AH0 +AQUILINO AA0 - K W IY0 - L IY1 - N OW0 +AQUINAS AH0 - K W AY1 - N AH0 S +AQUINO AH0 - K IY1 - N OW0 +AQUINO'S AH0 - K IY1 - N OW0 Z +AQUIRRE AE1 - K W ER0 +AQUITAINE AE2 - K W IH0 - T EY1 N +AR AA1 R +ARA AE1 - R AH0 +ARAB AE1 - R AH0 B +ARAB(2) EH1 - R AH0 B +ARABE AA0 R - AA1 - B EY0 +ARABELLA AE2 - R AH0 - B EH1 - L AH0 +ARABIA ER0 - EY1 - B IY0 - AH0 +ARABIA'S ER0 - EY1 - B IY0 - AH0 Z +ARABIAN ER0 - EY1 - B IY0 - AH0 N +ARABIANS ER0 - EY1 - B IY0 - AH0 N Z +ARABIC AE1 - R AH0 - B IH0 K +ARABIC(2) EH1 - R AH0 - B IH0 K +ARABICA ER0 - AE1 - B IH0 - K AH0 +ARABICHON AH0 - R AE1 - B IH0 - SH AO2 N +ARABICHON'S AH0 - R AE1 - B IH0 - SH AO2 N Z +ARABICON AH0 - R AE1 - B AH0 - K AO2 N +ARABIE ER0 - AE1 - B IY0 +ARABLE EH1 - R AH0 - B AH0 L +ARABS AE1 - R AH0 B Z +ARABS' EH1 - R AH0 B Z +ARABS(2) EH1 - R AH0 B Z +ARACHNID ER0 - AE1 K - N AH0 D +ARACHNID(2) ER0 - AE1 K - N IH0 D +ARACHNIDS ER0 - AE1 K - N AH0 D Z +ARACHNIDS(2) ER0 - AE1 K - N IH0 D Z +ARAFAT EH1 - R AH0 - F AE0 T +ARAFAT'S AA0 - R AH0 - F AA0 T S +ARAFAT'S(2) EH1 - R AH0 - F AE0 T S +ARAGON EH1 - R AH0 - G AA2 N +ARAGONA AA0 - R AA0 - G OW1 - N AH0 +ARAI AA0 - R AA1 - IY0 +ARAIZA ER0 - EY1 - Z AH0 +ARAKAKI AA0 - R AA0 - K AA1 - K IY0 +ARAKAWA AA2 - R AA0 - K AA1 - W AH0 +ARAKELIAN AE0 - R AH0 - K EH1 - L Y AH0 N +ARAKI AA0 - R AA1 - K IY0 +ARAL AA1 - R AH0 L +ARAMBULA AA0 - R AA0 M - B UW1 - L AH0 +ARAMCO ER0 - AE1 M - K OW0 +ARAMID EH1 - R AH0 - M IH0 D +ARAMINTA AE2 - R AH0 - M IH1 N - T AH0 +ARAMIS EH1 - R AH0 - M IH0 S +ARAMONY AA1 - R AH0 - M OW2 - N IY0 +ARAMONY(2) EH1 - R AH0 - M OW2 - N IY0 +ARAN EH1 - R AH0 N +ARANA AA0 - R AE1 - N AH0 +ARANDA ER0 - AE1 N - D AH0 +ARANGO AA0 - R AA1 NG - G OW0 +ARANSAS ER0 - AE1 N - S AH0 S +ARANT AA1 - R AH0 N T +ARANTZA AH0 - R AA1 N T - Z AH0 +ARANYOS ER0 - AA1 - N Y OW2 S +ARAPAHO ER0 - AE1 - P AH0 - HH OW2 +ARASKOG ER0 - AE1 - S AA0 G +ARASKOG(2) ER0 - AE1 - S K AA0 G +ARATA AA0 - R AA1 - T AH0 +ARAU AH0 - R AW1 +ARAUJO AA0 - R AW1 - Y OW0 +ARAVIND AA1 R - V AH0 N D +ARAYA ER0 - AY1 - AH0 +ARB AA1 R B +ARBA AA1 R - B AH0 +ARBAT AA1 R - B AE0 T +ARBAUGH AA1 R - B AO2 +ARBED AA1 R - B IH0 D +ARBEITER AA1 R - B AY0 - T ER0 +ARBEL AA1 R - B AH0 L +ARBELLA AA2 R - B EH1 - L AH0 +ARBITER AA1 R - B IH0 - T ER0 +ARBITERS AA1 R - B AH0 - T ER0 Z +ARBITRAGE AA1 R - B IH0 - T R AA2 ZH +ARBITRAGER AA1 R - B IH0 - T R AA2 - ZH ER0 +ARBITRAGERS AA1 R - B IH0 - T R AA2 - ZH ER0 Z +ARBITRAGERS' AA1 R - B IH0 - T R AA2 - ZH ER0 Z +ARBITRAGEUR AA1 R - B IH0 - T R AA2 - ZH ER0 +ARBITRAGEURS AA2 R - B AH0 - T R AA2 - ZH ER1 Z +ARBITRAGING AA1 R - B AH0 - T R AA2 - JH IH0 NG +ARBITRARILY AA1 R - B IH0 - T R EH2 - R AH0 - L IY0 +ARBITRARINESS AA1 R - B AH0 - T R EH2 - R IY0 - N AH0 S +ARBITRARY AA1 R - B AH0 - T R EH2 - R IY0 +ARBITRARY(2) AA1 R - B IH0 - T R EH2 - R IY0 +ARBITRATE AA1 R - B AH0 - T R EY2 T +ARBITRATED AA1 R - B AH0 - T R EY2 - T IH0 D +ARBITRATES AA1 R - B IH0 - T R EY2 T S +ARBITRATING AA1 R - B AH0 - T R EY2 - T IH0 NG +ARBITRATION AA2 R - B IH0 - T R EY1 - SH AH0 N +ARBITRATIONS AA2 R - B IH0 - T R EY1 - SH AH0 N Z +ARBITRATOR AA1 R - B IH0 - T R EY2 - T ER0 +ARBITRATOR'S AA1 R - B AH0 - T R EY2 - T ER0 Z +ARBITRATORS AA1 R - B IH0 - T R EY2 - T ER0 Z +ARBITRATORS' AA1 R - B AH0 - T R EY2 - T ER0 Z +ARBITRON AA1 R - B AH0 - T R AA2 N +ARBITRON(2) AA1 R - B AH0 - T R AH0 N +ARBO AA1 R - B OW0 +ARBOGAST AA0 R - B OW1 - G AA0 S T +ARBOLEDA AA0 R - B OW0 - L EH1 - D AH0 +ARBOR AA1 R - B ER0 +ARBOREAL AA0 R - B AO1 - R IY0 - AH0 L +ARBORETUM AA2 R - B ER0 - IY1 - T AH0 M +ARBORVILLE AA1 R - B ER0 - V IH0 L +ARBOUR AA1 R - B ER0 +ARBS AA1 R B Z +ARBUCKLE AA1 R - B AH0 - K AH0 L +ARBUCKLES AA1 R - B AH0 - K AH0 L Z +ARBUTHNOT AA0 R - B AH1 TH - N AH0 T +ARBY AA1 R - B IY0 +ARBY'S AA1 R - B IY0 Z +ARC AA1 R K +ARCADE AA0 R - K EY1 D +ARCADES AA0 R - K EY1 D Z +ARCADIA AA0 R - K EY1 - D IY0 - AH0 +ARCADIAN AA2 R - K EY1 - D IY0 - AH0 N +ARCADIANS AA2 R - K EY1 - D IY0 - AH0 N Z +ARCANA AA0 R - K AE1 - N AH0 +ARCAND AA1 R - K AH0 N D +ARCANE AA2 R - K EY1 N +ARCANUM AA1 R - K AH0 - N AH0 M +ARCANUM'S AA1 R - K AH0 - N AH0 M Z +ARCARO AA0 R - K AA1 - R OW0 +ARCATA AA0 R - K AA1 - T AH0 +ARCE AA1 R S +ARCEMENT AA0 R - S EY1 - M AH0 N T +ARCENEAUX AA1 R - S IH0 - N OW0 +ARCEO AA1 R - S IY0 - OW0 +ARCH AA1 R CH +ARCHAEOLOGICAL AA2 R - K IY0 - AH0 - L AA1 - JH IH0 - K AH0 L +ARCHAEOLOGIST AA2 R - K IY0 - AA1 - L AH0 - JH IH0 S T +ARCHAEOLOGISTS AA2 R - K IY0 - AA1 - L AH0 - JH IH0 S T S +ARCHAEOLOGISTS(2) AA2 R - K IY0 - AA1 - L AH0 - JH IH0 S S +ARCHAEOLOGISTS(3) AA2 R - K IY0 - AA1 - L AH0 - JH IH0 S +ARCHAEOLOGY AA2 R - K IY0 - AA1 - L AH0 - JH IY0 +ARCHAIC AA0 R - K EY1 - IH0 K +ARCHAMBAULT AA1 R - SH AH0 M - B OW0 +ARCHAMBEAU AA1 R - SH AH0 M - B OW2 +ARCHAMBEAULT AA1 R - SH AH0 M - B OW0 +ARCHANGEL AA2 R K - EY1 N - JH AH0 L +ARCHANGELS AA2 R K - EY1 N - JH AH0 L Z +ARCHARD AA0 R - SH AA1 R D +ARCHBISHOP AA1 R CH - B IH1 - SH AH0 P +ARCHBOLD AA1 R CH - B OW2 L D +ARCHDIOCESE AA1 R CH - D AY1 - AH0 - S AH0 S +ARCHDIOCESE(2) AA1 R CH - D AY1 - AH0 - S IY0 Z +ARCHDUKE AA1 R CH - D UW2 K +ARCHED AA1 R CH T +ARCHENEMY AA1 R - CH EH1 - N AH0 - M IY0 +ARCHEOLOGICAL AA2 R - K IY0 - AH0 - L AA1 - JH IH0 - K AH0 L +ARCHEOLOGY AA2 R - K IY0 - AA1 - L AH0 - JH IY0 +ARCHER AA1 R - CH ER0 +ARCHER'S AA1 R - CH ER0 Z +ARCHERD AA1 R - K ER0 D +ARCHERY AA1 R - CH ER0 - IY0 +ARCHES AA1 R - CH AH0 Z +ARCHES(2) AA1 R - CH IH0 Z +ARCHETYPAL AA1 R K - T AY1 - P AH0 L +ARCHETYPE AA1 R - K IH0 - T AY2 P +ARCHETYPES AA1 R - K IH0 - T AY2 P S +ARCHEY AA1 R - K IY0 +ARCHIBALD AA1 R - CH AH0 - B AO2 L D +ARCHIBEQUE AA1 R - SH IH0 - B IY0 K +ARCHIE AA1 R - CH IY0 +ARCHIMEDES AA2 R - K AH0 - M IY1 - D IY0 Z +ARCHING AA1 R - CH IH0 NG +ARCHIPELAGO AA2 R - K AH0 - P EH1 - L AH0 - G OW2 +ARCHIPELAGO(2) AA2 R - CH AH0 - P AH0 - L EY1 - G OW2 +ARCHITECT AA1 R - K AH0 - T EH2 K T +ARCHITECT'S AA1 R - K AH0 - T EH2 K T S +ARCHITECTS AA1 R - K AH0 - T EH2 K T S +ARCHITECTURAL AA2 R - K AH0 - T EH1 K - CH ER0 - AH0 L +ARCHITECTURALLY AA2 R - K IH0 - T EH1 K - CH ER0 - AH0 - L IY0 +ARCHITECTURALLY(2) AA2 R - K IH0 - T EH1 K - CH R AH0 - L IY0 +ARCHITECTURE AA1 R - K AH0 - T EH2 K - CH ER0 +ARCHITECTURES AA1 R - K AH0 - T EH2 K - CH ER0 Z +ARCHITRAVE AA1 R - K AH0 - T R EY2 V +ARCHITRAVES AA1 R - K AH0 - T R EY2 V Z +ARCHIVAL AA0 R - K AY1 - V AH0 L +ARCHIVE AA1 R - K AY2 V +ARCHIVES AA1 R - K AY2 V Z +ARCHIVIST AA1 R - K AH0 - V IH0 S T +ARCHIVIST(2) AA1 R - K AY0 - V IH0 S T +ARCHIVISTS AA1 R - K AH0 - V IH0 S T S +ARCHIVISTS(2) AA1 R - K AY0 - V IH0 S T S +ARCHIVISTS(3) AA1 R - K AH0 - V IH0 S S +ARCHIVISTS(4) AA1 R - K AH0 - V IH0 S +ARCHLY AA1 R CH - L IY0 +ARCHRIVAL AA1 R CH - R AY2 - V AH0 L +ARCHRIVALS AA1 R CH - R AY2 - V AH0 L Z +ARCHULETA AA0 R - K UW0 - L EH1 - T AH0 +ARCHULETTA AA0 R - K UW0 - L EH1 - T AH0 +ARCHWAY AA1 R CH - W EY2 +ARCIDIACONO AA0 R - CH IY0 - D IY0 - AA0 - K OW1 - N OW0 +ARCIERI AA0 R - CH IH1 - R IY0 +ARCINIEGA AA0 R - CH IY0 - N IY1 - G AH0 +ARCO AA1 R - K OW0 +ARCO'S AA1 R - K OW0 Z +ARCOLA AA0 R - K OW1 - L AH0 +ARCOS AA1 R - K OW0 Z +ARCOSANTI AA2 R - K AH0 - S AE1 N - T IY0 +ARCS AA1 R K S +ARCTIC AA1 R K - T IH0 K +ARCTIC(2) AA1 R - T IH0 K +ARCTURUS AA2 R K - T UH1 - R AH0 S +ARCTURUS(2) AA2 R K - T ER1 - AH0 S +ARCURI AA0 R - K UH1 - R IY0 +ARD AA1 R D +ARDA AA1 R - D AH0 +ARDATH AA1 R - D AH0 TH +ARDEEN AA0 R - D IY1 N +ARDELIA AA0 R - D EH1 - L IY0 - AH0 +ARDELLA AA2 R - D EH1 - L AH0 +ARDELLE AA0 R - D EH1 L +ARDEN AA1 R - D AH0 N +ARDEN'S AA1 R - D AH0 N Z +ARDENE AA1 R - D IY2 N +ARDENT AA1 R - D AH0 N T +ARDENTLY AA1 R - D AH0 N T - L IY0 +ARDIN AA1 R - D IH0 N +ARDINE AA0 R - D IY1 - N IY0 +ARDIS AA1 R - D IH0 S +ARDITH AA1 R - D IH0 TH +ARDITO AA0 R - D IY1 - T OW0 +ARDLEY AA1 R D - L IY0 +ARDMORE AA1 R D - M AO2 R +ARDOIN AA0 R - D OY1 N +ARDOLINO AA0 R - D OW0 - L IY1 - N OW0 +ARDOLPH AA1 R - D OW2 L F +ARDOR AA1 R - D ER0 +ARDRA AA1 R - D R AH0 +ARDREY AA1 R - D R IY0 +ARDSHIEL AA1 R D - SH IY2 L +ARDSLEY AA1 R D Z - L IY0 +ARDUINI AA0 R - D UW0 - IY1 - N IY0 +ARDUOUS AA1 R - JH UW0 - AH0 S +ARE AA1 R +ARE(2) ER0 +AREA EH1 - R IY0 - AH0 +AREA'S EH1 - R IY0 - AH0 Z +AREAS EH1 - R IY0 - AH0 Z +AREBALO AA0 R - EH0 - B AA1 - L OW0 +ARECHIGA AA0 - R EH0 - K IY1 - G AH0 +AREHART AE1 - R IH0 - HH AA0 R T +AREL AA0 - R EH1 L +ARELLANES AE1 - R IH0 - L EY2 N Z +ARELLANO AA0 - R EH0 - L AA1 - N OW0 +AREN AA1 - R AH0 N +AREN'T AA1 - R AH0 N T +AREN'T(2) AA1 R N T +ARENA ER0 - IY1 - N AH0 +ARENA'S ER0 - IY1 - N AH0 Z +ARENABALL ER0 - IY1 - N AH0 - B AO2 L +ARENAS ER0 - IY1 - N AH0 Z +ARENCIBIA AA0 - R EH0 N - CH IY1 - B IY0 - AH0 +AREND ER0 - EH1 N D +ARENDS ER0 - EH1 N D Z +ARENDSEE ER0 - EH1 N D - S IY2 +ARENDT EH1 - R IH0 N T +ARENELLA AA2 - R AH0 - N EH1 - L AH0 +ARENELLA'S AA2 - R AH0 - N EH1 - L AH0 Z +ARENS EH1 - R AH0 N Z +ARENS(2) AA1 - R AH0 N Z +ARENSON AE1 - R IH0 N - S AH0 N +ARENT AA1 - R AH0 N T +ARENTZ AE1 - R IH0 N T S +ARENZ AA1 - R EY0 N Z +ARES AA1 R Z +ARETA AA0 - R EH1 - T AH0 +ARETHA ER0 - IY1 - TH AH0 +ARETINA AA0 - R EH0 - T IY1 - N AH0 +ARETSKY EH0 - R EH1 T S - K IY1 +ARETTA AA0 - R EH1 - T AH0 +AREVALO AA0 - R EY0 - V AA1 - L OW0 +AREY AE1 - R IY0 +ARGABRIGHT AA1 R - G AH0 - B R AY2 T +ARGALL AA1 R - G AH0 L +ARGANBRIGHT AA0 R - G AE1 N - B R AY0 T +ARGENBRIGHT AA1 R - G IH0 N - B R AY0 T +ARGENT AA1 R - JH IH0 N T +ARGENTA AA2 R - JH EH1 N - T AH0 +ARGENTIERI AA0 R - JH EH0 N - T IH1 - R IY0 +ARGENTINA AA2 R - JH AH0 N - T IY1 - N AH0 +ARGENTINA'S AA2 R - JH AH0 N - T IY1 - N AH0 Z +ARGENTINAS AA2 R - JH AH0 N - T IY1 - N AH0 Z +ARGENTINE AA1 R - JH AH0 N - T IY2 N +ARGENTINES AA1 R - JH AH0 N - T IY2 N Z +ARGENTINIAN AA2 R - JH AH0 N - T IH1 - N IY0 - AH0 N +ARGENTINIANS AA2 R - JH AH0 N - T IH1 - N IY0 - AH0 N Z +ARGENTO AA2 R - JH EH1 N - T OW0 +ARGIRO AA0 R - JH IH1 - R OW0 +ARGO AA1 R - G OW0 +ARGO'S AA1 R - G OW0 Z +ARGON AA1 R - G AA2 N +ARGONAUT AA1 R - G AH0 - N AO2 T +ARGONAUT'S AA1 R - G AH0 - N AO2 T S +ARGONAUTS AA1 R - G AH0 - N AO2 T S +ARGONNE AA1 R - G AA2 N +ARGONNE(2) AA1 R - G OW2 N +ARGOSY AA1 R - G AH0 - S IY0 +ARGOSYSTEM AA1 R - G OW0 - S IH2 - S T AH0 M +ARGOSYSTEMS AA1 R - G OW0 - S IH2 - S T AH0 M Z +ARGOT AA1 R - G AH0 T +ARGUABLE AA1 R - G Y UW0 - AH0 - B AH0 L +ARGUABLY AA1 R - G Y UW0 - AH0 - B L IY0 +ARGUE AA1 R - G Y UW0 +ARGUED AA1 R - G Y UW0 D +ARGUELLES AA0 R - G EY1 - L EH0 S +ARGUELLO AA0 R - G EH1 - L OW0 +ARGUES AA1 R - G Y UW0 Z +ARGUETA AA0 R - G EY1 - T AH0 +ARGUIJO AA0 R - G W IY1 - Y OW0 +ARGUING AA1 R - G Y UW0 - IH0 NG +ARGUMENT AA1 R - G Y AH0 - M AH0 N T +ARGUMENT'S AA1 R - G Y AH0 - M AH0 N T S +ARGUMENTATION AA2 R - G Y AH0 - M EH0 N - T EY1 - SH AH0 N +ARGUMENTATIVE AA2 R - G Y AH0 - M EH1 N - T AH0 - T IH0 V +ARGUMENTS AA1 R - G Y AH0 - M AH0 N T S +ARGUS AA1 R - G AH0 S +ARGYLE AA1 R - G AY2 L +ARGYLL AA0 R - G AY1 L +ARGYROPOULOS AA2 R - JH IH0 - R AA1 - P OW0 - L AH0 S +ARI AA1 - R IY0 +ARIA AA1 - R IY0 - AH0 +ARIADNE EH2 - R IY0 - AE1 D - N IY0 +ARIAN AE1 - R IY0 - AH0 N +ARIANA AA0 - R IY0 - AE1 - N AH0 +ARIANE EH2 - R IY0 - AE1 N +ARIANESPACE EH2 - R IY0 - AE1 N - S P EY1 S +ARIANISM AE1 - R IY0 - AH0 - N IH2 - Z AH0 M +ARIANNA AA0 - R IY0 - AE1 - N AH0 +ARIANNA'S AA0 - R IY0 - AE1 - N AH0 Z +ARIAS AA1 - R IY0 - AH0 Z +ARIAS'S AA1 - R IY0 - AH0 - S IH0 Z +ARIC AE1 - R IH0 K +ARICO AA0 - R IY1 - K OW0 +ARID AE1 - R AH0 D +ARID(2) EH1 - R AH0 D +ARIDA AH0 - R IY1 - D AH0 +ARIE EH1 - R IY0 +ARIEL EH1 - R IY0 - AH0 L +ARIELLA AA0 - R IY0 - EH1 - L AH0 +ARIES EH1 - R IY0 Z +ARINGTON AA1 - R IH0 NG - T AH0 N +ARIOLA AA0 - R IY0 - OW1 - L AH0 +ARIS ER0 - IY1 S +ARISE ER0 - AY1 Z +ARISEN ER0 - IH1 - Z AH0 N +ARISES ER0 - AY1 - Z AH0 Z +ARISES(2) ER0 - AY1 - Z IH0 Z +ARISING ER0 - AY1 - Z IH0 NG +ARISON EH1 - R IH0 - S AH0 N +ARISPE AA0 - R IY1 - S P IY0 +ARISTA ER0 - IH1 - S T AH0 +ARISTECH EH1 - R IH0 - S T EH2 K +ARISTEDE AA2 - R IH0 - S T IY1 D +ARISTEDE'S AA2 - R IH0 - S T IY1 D Z +ARISTIDE AA2 - R IH0 - S T IY1 D +ARISTIDE'S AA2 - R IH0 - S T IY1 D Z +ARISTOCRACY EH2 - R AH0 - S T AA1 - K R AH0 - S IY0 +ARISTOCRAT ER0 - IH1 - S T AH0 - K R AE2 T +ARISTOCRATIC ER0 - IH2 - S T AH0 - K R AE1 - T IH0 K +ARISTOCRATS ER0 - IH1 - S T AH0 - K R AE2 T S +ARISTOTELIAN ER0 - IH2 - S T AH0 - T IY1 - L IY0 - AH0 N +ARISTOTLE EH1 - R AH0 - S T AA2 - T AH0 L +ARISTOTLE'S EH1 - R AH0 - S T AA2 - T AH0 L Z +ARITHMETIC EH2 - R IH0 TH - M EH1 - T IH0 K +ARITHMETIC(2) ER0 - IH1 TH - M AH0 - T IH2 K +ARIZA AA0 - R IY1 - Z AH0 +ARIZMENDI AA0 - R IY0 Z - M EH1 N - D IY0 +ARIZONA EH2 - R IH0 - Z OW1 - N AH0 +ARIZONA'S EH2 - R IH0 - Z OW1 - N AH0 Z +ARIZONAN ER0 - IH1 - Z OW0 - N AH0 N +ARIZONAN(2) ER0 - IH0 - Z OW1 - N AH0 N +ARIZONANS ER0 - IH1 - Z OW0 - N AH0 N Z +ARIZONANS(2) ER0 - IH0 - Z OW1 - N AH0 N Z +ARJO AA1 R - JH OW0 +ARJO(2) AA1 - R Y OW0 +ARK AA1 R K +ARKADELPHIA AA2 R - K AH0 - D EH1 L - F IY0 - AH0 +ARKADI AA1 R - K AH0 - D IY0 +ARKADY AA2 R - K EY1 - D IY0 +ARKANSAN AA2 R - K AE1 N - Z AH0 N +ARKANSANS AA2 R - K AE1 N - Z AH0 N Z +ARKANSAS AA1 R - K AH0 N - S AA2 +ARKANSAS' AA1 R - K AH0 N - S AA2 Z +ARKANSAS'S AA1 R - K AH0 N - S AA2 Z +ARKIN AA1 R - K IH0 N +ARKIN'S AA1 R - K IH0 N Z +ARKLA AA1 R K - L AH0 +ARKLA'S AA1 R K - L AH0 Z +ARKO AA1 R - K OW0 +ARKOSE AA0 R - K OW1 S +ARKWRIGHT AA1 R K - R AY2 T +ARLANA AA0 R - L AE1 - N AH0 +ARLAUSKAS AA0 R - L AO1 - S K AH0 S +ARLEDGE AA1 R - L IH0 JH +ARLEEN AA0 R - L IY1 N +ARLEN AA1 R - L AH0 N +ARLENA AA1 R - L IH0 - N AH0 +ARLENE AA1 R - L IY2 N +ARLENE'S AA1 R - L IY2 N Z +ARLETA AA1 R - L IH0 - T AH0 +ARLETTE AA2 R - L EH1 T +ARLEY AA1 R - L IY0 +ARLIE AA1 R - L IY0 +ARLIN AA1 R - L IH0 N +ARLINDA AA2 R - L IH1 N - D AH0 +ARLINE AA1 R - L AY2 N +ARLINGTON AA1 R - L IH0 NG - T AH0 N +ARLINGTON'S AA1 R - L IH0 NG - T AH0 N Z +ARLT AA1 R L T +ARLYNE AA1 R - L AY2 N +ARM AA1 R M +ARM'S AA1 R M Z +ARMACOST AA1 R - M AH0 - K AO2 S T +ARMACOST'S AA1 R - M AH0 - K AO2 S T S +ARMADA AA0 R - M AA1 - D AH0 +ARMADILLO AA2 R - M AH0 - D IH1 - L OW0 +ARMADILLOS AA2 R - M AH0 - D IH1 - L OW0 Z +ARMAGEDDON AA2 R - M AH0 - G EH1 - D AH0 N +ARMAGOST AA0 R - M AA1 - G OW0 S T +ARMAMENT AA1 R - M AH0 - M AH0 N T +ARMAMENTS AA1 R - M AH0 - M AH0 N T S +ARMAN AA1 R - M AH0 N +ARMAND AA1 R - M AH0 N D +ARMAND(2) AA2 R - M AA1 N D +ARMANDO AA0 R - M AA1 N - D OW0 +ARMANDT AA1 R - M AE0 N T +ARMANI AA2 R - M AA1 - N IY0 +ARMANTROUT AA1 R - M AH0 N - T R AW2 T +ARMARO AA2 R - M AA1 - R OW0 +ARMAS AA1 R - M AH0 Z +ARMATO AA0 R - M AA1 - T OW0 +ARMBAND AA1 R M - B AE2 N D +ARMBANDS AA1 R M - B AE2 N D Z +ARMBRISTER AA1 R M - B ER0 - IH0 - S T ER0 +ARMBRISTER(2) AA1 R M - B R IH0 - S T ER0 +ARMBRUST AA1 R M - B R AH0 S T +ARMBRUSTER AA1 R M - B R AH0 - S T ER0 +ARMBRUSTER(2) AA1 R M - B R UW0 - S T ER0 +ARMCHAIR AA1 R M - CH EH2 R +ARMCHAIRS AA1 R M - CH EH2 R Z +ARMCO AA1 R M - K OW2 +ARMCO'S AA1 R M - K OW0 Z +ARMED AA1 R M D +ARMEL AA0 R - M EH1 L +ARMELLINO AA2 R - M EH0 - L IY1 - N OW0 +ARMEN AA1 R - M AH0 N +ARMENDAREZ AA0 R - M EY0 N - D AA1 - R EH0 Z +ARMENDARIZ AA0 R - M EY0 N - D AA1 - R IY0 Z +ARMENIA AA0 R - M IY1 - N IY0 - AH0 +ARMENIA'S AA0 R - M IY1 - N IY0 - AH0 Z +ARMENIAN AA0 R - M IY1 - N IY0 - AH0 N +ARMENIANS AA0 R - M IY1 - N IY0 - AH0 N Z +ARMENT AA1 R - M AH0 N T +ARMENTA AA0 R - M EH1 N - T AH0 +ARMENTOR AA0 R - M AH0 N - T AO1 R +ARMENTROUT AA1 R - M AH0 N - T R AW2 T +ARMER AA1 R - M ER0 +ARMES AA1 R M Z +ARMESTED AA1 R - M IH0 - S T EH2 D +ARMETTA AA0 R - M EH1 - T AH0 +ARMEY AA1 R - M IY0 +ARMEY'S AA1 R - M IY0 Z +ARMFIELD AA1 R M - F IY2 L D +ARMIDA AA0 R - M IY1 - D AH0 +ARMIES AA1 R - M IY0 Z +ARMIGER AA1 R - M IH0 - G ER0 +ARMIJO AA0 R - M IY1 - Y OW0 +ARMILLA AA0 R - M IH1 - L AH0 +ARMIN AA1 R - M AH0 N +ARMINA AA0 R - M IY1 - N AH0 +ARMINE AA0 R - M IY1 - N IY0 +ARMING AA1 R - M IH0 NG +ARMINGTON AA1 R - M IH0 NG - T AH0 N +ARMINIE AA1 R - M IH0 - N IY0 +ARMISTEAD AA1 R - M IH0 - S T EH2 D +ARMISTICE AA1 R - M AH0 - S T AH0 S +ARMITAGE AA1 R - M IH0 - T IH0 JH +ARMOLD AA1 R - M OW2 L D +ARMON AA1 R - M AH0 N +ARMOND AA1 R - M AH0 N D +ARMONK AA1 R - M AH0 NG K +ARMOR AA1 R - M ER0 +ARMORED AA1 R - M ER0 D +ARMORIES AA1 R - M ER0 - IY0 Z +ARMORY AA1 R - M ER0 - IY0 +ARMOUR AA1 R - M ER0 +ARMPIT AA1 R M - P IH2 T +ARMPITS AA1 R M - P IH2 T S +ARMREST AA1 R - M R EH2 S T +ARMRESTS AA1 R - M R EH2 S T S +ARMRESTS(2) AA1 R M - R EH2 S S +ARMRESTS(3) AA1 R M - R EH2 S +ARMS AA1 R M Z +ARMSTEAD AA1 R M - S T EH2 D +ARMSTRAD AA1 R M - S T R AE2 D +ARMSTRONG AA1 R M - S T R AA2 NG +ARMSTRONG'S AA1 R M - S T R AO2 NG Z +ARMSTRONG(2) AA1 R M - S T R AO2 NG +ARMTEC AA1 R M - T EH2 K +ARMTEK AA1 R M - T EH2 K +ARMTEK'S AA1 R M - T EH2 K S +ARMWOOD AA1 R M - W UH2 D +ARMY AA1 R - M IY0 +ARMY'S AA1 R - M IY0 Z +ARN AA1 R N +ARNALDA AA0 R - N AA1 L - D AH0 +ARNALDO AA0 R - N AA1 L - D OW0 +ARNALL AA1 R - N AH0 L +ARNATT AA0 R - N AE1 T +ARNAUD AA0 R - N OW1 +ARNAULT AA2 R - N OW1 +ARNAZ AA2 R - N EH1 Z +ARNDT AA1 R N T +ARNE AA1 R N +ARNELL AA1 R - N AH0 L +ARNELLE AA2 R - N EH1 L +ARNELLE'S AA2 R - N EH1 L Z +ARNER AA1 R - N ER0 +ARNESEN AA0 R - N IY1 - Z AH0 N +ARNESON AA1 R - N IH0 - S AH0 N +ARNETT AA0 R - N EH1 T +ARNETTE AA0 R - N EH1 T +ARNEY AA1 R - N IY0 +ARNHOLD AA1 R N - HH OW2 L D +ARNHOLT AA1 R N - HH OW2 L T +ARNIE AA1 R - N IY0 +ARNN AA1 R N +ARNO AA1 R - N OW0 +ARNOLD AA1 R - N AH0 L D +ARNOLD'S AA1 R - N AH0 L D Z +ARNOLDI AA0 R - N OW1 L - D IY0 +ARNOLDS AA1 R - N AH0 L D Z +ARNOLDY AA1 R - N OW0 L - D IY0 +ARNOLPHE AA0 R - N AA1 L - F IY0 +ARNONE AA0 R - N OW1 - N IY0 +ARNOT AA1 R - N AH0 T +ARNOTT AA1 R - N AA0 T +ARNOTTS AA1 R - N AA0 T S +ARNOW AA1 R - N OW0 +ARNOX AA1 R - N AA0 K S +ARNS AA1 R N Z +ARNST AA1 R N S T +ARNSTEIN AA1 R N - S T AY0 N +ARNSTEIN(2) AA1 R N - S T IY0 N +ARNTSON AA1 R N T - S AH0 N +ARNTZ AA1 R N T S +ARNTZEN AA1 R N T - Z AH0 N +ARNULFO AA0 R - N AH1 L - F OW0 +ARNWINE AA1 R N - W AY2 N +ARNZEN AA1 R N - Z AH0 N +ARO AA1 - R OW0 +AROCHA AA0 - R OW1 - K AH0 +AROCHO AA0 - R OW1 - K OW0 +AROMA ER0 - OW1 - M AH0 +AROMAS ER0 - OW1 - M AH0 Z +AROMATIC EH2 - R AH0 - M AE1 - T IH0 K +ARON EH1 - R AH0 N +ARONE ER0 - OW1 N +ARONHALT AE1 - R AH0 N - HH AH0 L T +ARONOFF EH1 - R AH0 - N AO0 F +ARONOW ER0 - OW1 - N OW0 +ARONOWITZ ER0 - AA1 - N AH0 - W IH0 T S +ARONS AA1 - R OW0 N Z +ARONSON EH1 - R AH0 N - S AH0 N +ARONSTEIN EH1 - R AH0 N - S T IY2 N +ARONSTEIN(2) EH1 - R AH0 N - S T AY2 N +ARORA AA0 - R AO1 - R AH0 +AROS AA1 - R OW0 Z +AROSE ER0 - OW1 Z +AROUND ER0 - AW1 N D +AROUND(2) ER0 - AW1 N +AROUSAL ER0 - AW1 - Z AH0 L +AROUSE ER0 - AW1 Z +AROUSED ER0 - AW1 Z D +AROUSES ER0 - AW1 - Z IH0 Z +AROUSING ER0 - AW1 - Z IH0 NG +ARP AA1 R P +ARPA AA1 R - P AH0 +ARPANET AA1 R - P AH0 - N EH2 T +ARPIN AA1 R - P IH0 N +ARPINO AA0 R - P IY1 - N OW0 +ARPS AA1 R P S +ARQUETTE AA0 R - K EH1 T +ARQUILLA AA2 R - K W IH1 - L AH0 +ARRAIGN ER0 - EY1 N +ARRAIGNED ER0 - EY1 N D +ARRAIGNMENT ER0 - EY1 N - M AH0 N T +ARRAIGNMENTS ER0 - EY1 N - M AH0 N T S +ARRANGE ER0 - EY1 N JH +ARRANGED ER0 - EY1 N JH D +ARRANGEMENT ER0 - EY1 N JH - M AH0 N T +ARRANGEMENTS ER0 - EY1 N JH - M AH0 N T S +ARRANGER ER0 - EY1 N - JH ER0 +ARRANGES ER0 - EY1 N - JH IH0 Z +ARRANGING ER0 - EY1 N - JH IH0 NG +ARRANT AE1 - R AH0 N T +ARRANTS AE1 - R AH0 N T S +ARRASMITH EH1 - R AH0 - S M IH2 TH +ARRAY ER0 - EY1 +ARRAYED ER0 - EY1 D +ARRAYS ER0 - EY1 Z +ARREARAGE ER0 - IY1 - R IH0 JH +ARREARAGES ER0 - IH1 - R IH0 - JH IH0 Z +ARREARS ER0 - IH1 R Z +ARREDONDO AA0 - R EH0 - D OW1 N - D OW0 +ARREGUIN AA0 - R EY0 - G W IY1 N +ARRENDONDO AA0 - R EH0 N - D OW1 N - D OW0 +ARREOLA AA0 - R IY0 - AA1 - L AH0 +ARREST ER0 - EH1 S T +ARRESTED ER0 - EH1 - S T AH0 D +ARRESTED(2) ER0 - EH1 - S T IH0 D +ARRESTING ER0 - EH1 - S T IH0 NG +ARRESTS ER0 - EH1 S T S +ARRHYTHMIA ER0 - IH1 DH - M IY0 - AH0 +ARRHYTHMIAS ER0 - IH1 DH - M IY0 - AH0 Z +ARRIAGA AA2 - R IY0 - AA1 - G AH0 +ARRICK AE1 - R IH0 K +ARRIETA AA0 - R IY1 - T AH0 +ARRIGO AA2 - R IY1 - G OW0 +ARRIGONI AA0 - R IY0 - G OW1 - N IY0 +ARRINGTON EH1 - R IH0 NG - T AH0 N +ARRIOLA AA2 - R IY0 - OW1 - L AH0 +ARRIORTUA AA2 - R IY0 - AO0 R - T UW1 - AH0 +ARRIS AE1 - R AH0 S +ARRIVAL ER0 - AY1 - V AH0 L +ARRIVALS ER0 - AY1 - V AH0 L Z +ARRIVE ER0 - AY1 V +ARRIVED ER0 - AY1 V D +ARRIVES ER0 - AY1 V Z +ARRIVING ER0 - AY1 - V IH0 NG +ARROGANCE EH1 - R AH0 - G AH0 N S +ARROGANT EH1 - R AH0 - G AH0 N T +ARROGANTLY EH1 - R AH0 - G AH0 N T - L IY0 +ARROGATE AE1 - R OW0 - G EY2 T +ARROW AE1 - R OW0 +ARROW'S AE1 - R OW0 Z +ARROW'S(2) EH1 - R OW0 Z +ARROW(2) EH1 - R OW0 +ARROWHEAD AE1 - R OW0 - HH EH2 D +ARROWHEAD(2) EH1 - R OW0 - HH EH2 D +ARROWHEADS AE1 - R OW0 - HH EH2 D Z +ARROWHEADS(2) EH1 - R OW0 - HH EH2 D Z +ARROWOOD AE1 - R OW0 - W UH2 D +ARROWROOT EH1 - R OW0 - R UW2 T +ARROWS AE1 - R OW0 Z +ARROWS(2) EH1 - R OW0 Z +ARROWSMITH AE1 - R OW0 - S M IH2 TH +ARROWSMITH'S AE1 - R OW0 S - M IH2 TH S +ARROWSMITH'S(2) EH1 - R OW0 - S M IH2 TH S +ARROWSMITH(2) EH1 - R OW0 - S M IH2 TH +ARROYO ER0 - OY1 - OW0 +ARROYO'S ER0 - OY1 - OW0 Z +ARRUDA AA0 - R UW1 - D AH0 +ARRUPE AE1 - R UW2 P +ARSDALE AA1 R Z - D EY2 L +ARSENAL AA1 R - S AH0 - N AH0 L +ARSENALS AA1 R - S AH0 - N AH0 L Z +ARSENAULT AA1 R - S IH0 - N OW0 +ARSENEAU AA1 R - S IH0 - N OW0 +ARSENEAULT AA1 R - S IH0 - N OW0 +ARSENIC AA1 R - S AH0 - N IH0 K +ARSENIDE AA1 R - S AH0 - N AY2 D +ARSENIO AA2 R - S IY1 - N IY0 - OW0 +ARSLANIAN AA2 R S - L EY1 - N IY0 - AH0 N +ARSON AA1 R - S AH0 N +ARSONIST AA1 R - S AH0 - N AH0 S T +ARSONIST(2) AA1 R - S AH0 - N IH0 S T +ARSONISTS AA1 R - S AH0 - N AH0 S T S +ARSONISTS(2) AA1 R - S AH0 - N IH0 S T S +ARSONISTS(3) AA1 R - S AH0 N - IH0 S S +ARSONISTS(4) AA1 R - S AH0 N - IH0 S +ARSONS AA1 R - S AH0 N Z +ART AA1 R T +ART'S AA1 R T S +ARTALE AA0 R - T AA1 - L IY0 +ARTCARVE AA1 R T - K AA2 R V +ARTCARVED AA1 R T - K AA2 R V D +ARTEAGA AA2 R - T IY1 - G AH0 +ARTEMAS AA1 R - T IH0 - M AH0 Z +ARTEMUS AA1 R - T AH0 - M AH0 S +ARTER AA1 R - T ER0 +ARTERBERRY AA1 R - T ER0 - B EH2 - R IY0 +ARTERBURN AA1 R - T ER0 - B ER2 N +ARTERIAL AA0 R - T IH1 - R IY0 - AH0 L +ARTERIES AA1 R - T ER0 - IY0 Z +ARTERIOSCLEROSIS AA0 R - T IH2 - R IY0 - OW0 - S K L ER0 - OW1 - S AH0 S +ARTERY AA1 R - T ER0 - IY0 +ARTESIAN AA2 R - T IY1 - ZH AH0 N +ARTFUL AA1 R T - F AH0 L +ARTFULLY AA1 R T - F AH0 - L IY0 +ARTH AA1 R TH +ARTHRITIC AA0 R - TH R IH1 - T IH0 K +ARTHRITIS AA0 R TH - R AY1 - T AH0 S +ARTHRITIS(2) AA0 R TH - R AY1 - T IH0 S +ARTHROPOD AA1 R - TH R AH0 - P AA2 D +ARTHROPODS AA1 R - TH R AH0 - P AA2 D Z +ARTHUR AA1 R - TH ER0 +ARTHUR'S AA1 R - TH ER0 Z +ARTHURIAN AA0 R - TH UH1 - R IY0 - AH0 N +ARTHURS AA1 R - TH ER0 Z +ARTICHOKE AA1 R - T AH0 - CH OW2 K +ARTICHOKE(2) AA1 R - T IH0 - CH OW2 K +ARTICHOKES AA1 R - T IH0 - CH OW2 K S +ARTICLE AA1 R - T AH0 - K AH0 L +ARTICLE'S AA1 R - T IH0 - K AH0 L Z +ARTICLE(2) AA1 R - T IH0 - K AH0 L +ARTICLES AA1 R - T AH0 - K AH0 L Z +ARTICLES(2) AA1 R - T IH0 - K AH0 L Z +ARTICULATE AA0 R - T IH1 - K Y AH0 - L EY2 T +ARTICULATE(2) AA0 R - T IH1 - K Y AH0 - L AH0 T +ARTICULATED AA0 R - T IH1 - K Y AH0 - L EY2 - T AH0 D +ARTICULATES AA0 R - T IH1 - K Y AH0 - L AH0 T S +ARTICULATING AA0 R - T IH1 - K Y AH0 - L EY2 - T IH0 NG +ARTICULATION AA2 R - T IH0 - K Y AH0 - L EY1 - SH AH0 N +ARTICULATORY AA0 R - T IH1 - K Y AH0 - L AH0 - T AO2 - R IY0 +ARTIE AA1 R - T IY0 +ARTIFACT AA1 R - T AH0 - F AE2 K T +ARTIFACTS AA1 R - T AH0 - F AE2 K T S +ARTIFICE AA1 R - T AH0 - F IH0 S +ARTIFICIAL AA2 R - T AH0 - F IH1 - SH AH0 L +ARTIFICIALLY AA2 R - T AH0 - F IH1 - SH AH0 - L IY0 +ARTILLERY AA0 R - T IH1 - L ER0 - IY0 +ARTINO AA0 R - T IY1 - N OW0 +ARTIODACTYL AA2 R - T IY0 - OW0 - D AE1 K - T AH0 L +ARTIODACTYLS AA2 R - T IY0 - OW0 - D AE1 K - T AH0 L Z +ARTIS AA1 R - T IH0 S +ARTISAN AA1 R - T AH0 - Z AH0 N +ARTISANS AA1 R - T AH0 - Z AH0 N Z +ARTIST AA1 R - T AH0 S T +ARTIST'S AA1 R - T AH0 S T S +ARTIST'S(2) AA1 R - T IH0 S T S +ARTIST(2) AA1 R - T IH0 S T +ARTISTIC AA0 R - T IH1 - S T IH0 K +ARTISTICALLY AA0 R - T IH1 - S T IH0 K - L IY0 +ARTISTRY AA1 R - T IH0 S - T R IY0 +ARTISTS AA1 R - T AH0 S T S +ARTISTS' AA1 R - T AH0 S T S +ARTISTS'(2) AA1 R - T IH0 S T S +ARTISTS'(3) AA1 R - T IH0 S S +ARTISTS'(4) AA1 R - T IH0 S +ARTISTS(2) AA1 R - T IH0 S T S +ARTISTS(3) AA1 R - T IH0 S S +ARTISTS(4) AA1 R - T IH0 S +ARTLEY AA1 R T - L IY0 +ARTMAN AA1 R T - M AH0 N +ARTOIS AA0 R T - W AA1 +ARTON AA1 R - T AA2 N +ARTRA AA1 R - T R AH0 +ARTRA'S AA1 R - T R AH0 Z +ARTRIP AA1 R - T R IH0 P +ARTS AA1 R T S +ARTSY AA1 R T - S IY1 +ARTUR AA1 R - T UH0 R +ARTURO AA0 R - T UH1 - R OW0 +ARTUS AA1 R - T AH0 S +ARTWORK AA1 R T - W ER2 K +ARTWORKS AA1 R T - W ER2 K S +ARTY AA1 R - T IY0 +ARTY'S AA1 R - T IY0 Z +ARTZ AA1 R T S +ARTZT AA1 R T S T +ARUBA ER0 - UW1 - B AH0 +ARUM EH1 - R AH0 M +ARUNACHALAM AA0 - R UW2 - N AH0 - CH AA1 - L AH0 M +ARUNDEL EH1 - R AH0 N - D AH0 L +ARUP ER0 - UW1 P +ARVA AA1 R - V AH0 +ARVAD AA0 R - V AE1 D +ARVAL AA1 R - V AH0 L +ARVANITIS AA0 R - V AH0 - N AY1 - T IH0 S +ARVAY AA1 R - V EY0 +ARVE AA1 R V +ARVEL AA0 R - V EH1 L +ARVEY AA1 R - V IY0 +ARVID AA1 R - V IH0 D +ARVIDA AA0 R - V IY1 - D AH0 +ARVIDA'S AA0 R - V IY1 - D AH0 Z +ARVIDSON AA1 R - V IH0 D - S AH0 N +ARVIN AA1 R - V IH0 N +ARVIN'S AA1 R - V IH0 N Z +ARVIND AA1 R - V IH0 N D +ARVIZU AA0 R - V IY1 - Z UW0 +ARWOOD AA1 R - W UH2 D +ARX AA1 R K S +ARY EH1 - R IY0 +ARYAN AA1 - R IY0 - AH0 N +ARZAMA AA0 R - Z AA1 - M AH0 +ARZAMAS AA0 R - Z AA1 - M AH0 Z +ARZATE AA1 R - Z EY2 T +ARZOLA AA0 R - Z OW1 - L AH0 +ARZT AA1 R Z T +AS AE1 Z +AS(2) EH1 Z +ASA AA1 - S AH0 +ASAF AA0 - S AA1 F +ASAHAN AE1 - S AH0 - HH AE0 N +ASAHARA AE0 - S AH0 - HH AE1 - R AH0 +ASAHI AH0 - S AA1 - HH IY0 +ASAMERA AE2 - S AH0 - M EH1 - R AH0 +ASARCO AH0 - S AA1 R - K OW0 +ASARCO'S AH0 - S AA1 R - K OW0 Z +ASARO AA0 - S AA1 - R OW0 +ASAT AE1 - Z AE0 T +ASATO AA0 - S AA1 - T OW0 +ASAY AH0 - S EY1 +ASBELL AE1 S - B EH0 L +ASBERRY AE1 S - B EH0 - R IY0 +ASBESTEC AE2 S - B EH1 - S T EH0 K +ASBESTOS AE0 S - B EH1 - S T AH0 S +ASBESTOSIS AE2 S - B EH2 - S T OW1 - S AH0 S +ASBESTOSIS(2) AE2 S - B EH2 - S T OW1 - S IH0 S +ASBILL AH0 - S B IH1 L +ASBRIDGE AH0 S - B R IH1 JH +ASBURY AE1 Z - B EH2 - R IY0 +ASBY AE1 S - B IY0 +ASCAP AE1 - S K AE2 P +ASCENCIO AA0 - S CH EH1 N - CH IY0 - OW0 +ASCEND AH0 - S EH1 N D +ASCENDANCE AH0 - S EH1 N - D AH0 N S +ASCENDANCY AH0 - S EH1 N - D AH0 N - S IY0 +ASCENDANT AH0 - S EH1 N - D AH0 N T +ASCENDED AH0 - S EH1 N - D AH0 D +ASCENDENCY AH0 - S EH1 N - D AH0 N - S IY0 +ASCENDING AH0 - S EH1 N - D IH0 NG +ASCENDS AH0 - S EH1 N D Z +ASCENSION AH0 - S EH1 N - SH AH0 N +ASCENT AH0 - S EH1 N T +ASCERTAIN AE2 - S ER0 - T EY1 N +ASCERTAINED AE2 - S ER0 - T EY1 N D +ASCERTAINING AE2 - S ER0 - T EY1 - N IH0 NG +ASCETIC AH0 - S EH1 - T IH0 K +ASCH AE1 SH +ASCHE AE1 SH +ASCHENBACH AE1 - SH IH0 N - B AA0 K +ASCHENBRENNER AE1 - SH IH0 N - B R IH0 - N ER0 +ASCHER AE1 - SH ER0 +ASCHOFF AE1 S K - HH AO0 F +ASCII AE1 S - K IY0 +ASCLAD AE1 - S K L AE0 D +ASCORBIC AH0 - S K AO1 R - B IH0 K +ASCOT AE1 - S K AA2 T +ASCOTT AH0 - S K AA1 T +ASCRIBE AH0 - S K R AY1 B +ASCRIBED AH0 - S K R AY1 B D +ASCRIBES AH0 - S K R AY1 B Z +ASDA AE1 S - D AH0 +ASEA AH0 - Z IY1 - AH0 +ASEA(2) EY1 - EH1 - S IY1 - EY1 +ASEAN AH0 - Z IY1 - AH0 N +ASEAN(2) EY1 - EH1 - S IY1 - EY1 - EH1 N +ASEAN(3) AE2 - Z EY1 - AH0 N +ASELMA AH0 - S EH1 L - M AH0 +ASELTINE AA0 - S EH0 L - T IY1 - N IY0 +ASENCIO AH0 - S EH1 N - S IY0 - OW0 +ASERITIS AH0 - S EH1 - R IH0 - T IH0 S +ASH AE1 SH +ASHAME AH0 - SH EY1 M +ASHAMED AH0 - SH EY1 M D +ASHARE AE1 - SH EH2 R +ASHBAUGH AH0 SH - B AO1 +ASHBAUGH(2) AE1 SH - B AO2 +ASHBROOK AE1 SH - B R UH2 K +ASHBURN AE1 SH - B ER0 N +ASHBURY AE1 SH - B EH0 - R IY0 +ASHBY AE1 SH - B IY0 +ASHCRAFT AE1 SH - K R AE2 F T +ASHCREEK AE2 SH - K R IY1 K +ASHCROFT AE1 SH - K R AO2 F T +ASHDOWN AE1 SH - D AW2 N +ASHE AE1 SH +ASHEN AE1 - SH AH0 N +ASHENBERG AE1 - SH AH0 N - B ER0 G +ASHENFELTER AE1 - SH AH0 N - F EH2 L - T ER0 +ASHER AE1 - SH ER0 +ASHES AE1 - SH AH0 Z +ASHES(2) AE1 - SH IH0 Z +ASHEVILLE AE1 SH - V IH2 L +ASHEY AE1 - SH IY0 +ASHFORD AE1 SH - F ER0 D +ASHIS AH0 - SH IY1 Z +ASHISH AH0 - SH IY1 SH +ASHLAND AE1 SH - L AH0 N D +ASHLAND'S AE1 SH - L AH0 N D Z +ASHLEY AE1 SH - L IY0 +ASHLEY'S AE1 SH - L IY0 Z +ASHLIN AE1 SH - L IH0 N +ASHLINE AE1 SH - L AY2 N +ASHLOCK AE1 SH - L AA2 K +ASHMAN AE1 SH - M AH0 N +ASHMEAD AE1 SH - M IY2 D +ASHMORE AE1 SH - M AO0 R +ASHOK AE1 - SH AA0 K +ASHORE AH0 - SH AO1 R +ASHRAWI AE0 SH - R AA1 - W IY0 +ASHTEC AE1 SH - T EH0 K +ASHTEC'S AE1 SH - T EH0 K S +ASHTON AE1 SH - T AH0 N +ASHTON'S AE1 SH - T AH0 N Z +ASHTRAY AE1 SH - T R EY2 +ASHTRAYS AE1 SH - T R EY2 Z +ASHUR AE1 - SH ER0 +ASHURST AE1 - SH ER0 S T +ASHVILLE AE1 SH - V IH2 L +ASHWELL AE1 SH - W EH2 L +ASHWOOD AE1 SH - W UH2 D +ASHWORTH AE1 SH - W ER2 TH +ASHY AE1 - SH IY0 +ASIA EY1 - ZH AH0 +ASIA'S EY1 - ZH AH0 Z +ASIAIN EY1 - Z IY0 - EY2 N +ASIAMERICA EY2 - S IY0 - AH0 - M EH1 - R IH0 - K AH0 +ASIAN EY1 - ZH AH0 N +ASIANS EY1 - ZH AH0 N Z +ASIATIC EY2 - ZH IY0 - AE1 - T IH0 K +ASIAWEEK EY1 - ZH AH0 W - IY2 K +ASIC AE1 - Z IH0 K +ASICS AE1 - Z IH0 K S +ASIDE AH0 - S AY1 D +ASIDES AH0 - S AY1 D Z +ASIEL AE1 - Z IY0 - AH0 L +ASIMOV AE1 - S IH0 - M AA0 V +ASIMOV'S AE1 - S IH0 - M AA0 V Z +ASIMOV'S(2) AE1 - Z IH0 - M AA0 V Z +ASIMOV(2) AE1 - Z IH0 - M AA0 V +ASIMOW AE1 - S IH0 - M OW0 +ASININE AE1 - S AH0 - N AY2 N +ASK AE1 S K +ASKA AE1 - S K AH0 +ASKANCE AH0 - S K AE1 N S +ASKED AE1 S K T +ASKED(2) AO1 S K T +ASKER AE1 - S K ER0 +ASKER'S AE1 - S K ER0 Z +ASKERS AE1 - S K ER0 Z +ASKERS' AE1 - S K ER0 Z +ASKERS'S AE1 - S K ER0 - Z IH0 Z +ASKEW AH0 - S K Y UW1 +ASKEY AH0 - S K IY1 +ASKIN AH0 - S K IH1 N +ASKIN'S AE1 - S K IH2 N Z +ASKING AE1 - S K IH0 NG +ASKINGTON AE1 - S K IH0 NG - T AH0 N +ASKINS AH0 - S K IH1 N Z +ASKO AE1 - S K OW0 +ASKOLDOV AH0 - S K OW1 L - D AA0 V +ASKOLDOV'S AH0 - S K OW1 L - D AA0 V Z +ASKREN AE1 - S K ER0 - AH0 N +ASKS AE1 S K S +ASLANIAN AH0 - S L EY1 - N IY0 - AH0 N +ASLEEP AH0 - S L IY1 P +ASLESON AE1 S - L IH0 - S AH0 N +ASLESON(2) AE1 - S IH0 L - S AH0 N +ASLIN AH0 - S L IH1 N +ASMAN AE1 S - M AH0 N +ASMARA AE2 Z - M AA1 - R AH0 +ASMARAS AE2 Z - M AA1 - R AH0 Z +ASMUS AH0 Z - M UW1 S +ASMUSSEN AH0 Z - M AH1 - S AH0 N +ASNER AE1 S - N ER0 +ASP AE1 S P +ASPARAGUS AH0 - S P EH1 - R AH0 - G AH0 S +ASPARTAME AE1 - S P ER0 - T EY2 M +ASPECT AE1 - S P EH2 K T +ASPECTS AE1 - S P EH2 K T S +ASPEN AE1 - S P AH0 N +ASPEN'S AE1 - S P AH0 N Z +ASPENS AE1 - S P AH0 N Z +ASPER AE1 - S P ER0 +ASPERSION AH0 - S P ER1 - ZH AH0 N +ASPERSIONS AH0 - S P ER1 - ZH AH0 N Z +ASPHALT AE1 S - F AO2 L T +ASPIN AE1 - S P IH0 N +ASPIN'S AE1 - S P IH0 N Z +ASPINALL AE1 - S P IH0 - N AO0 L +ASPINWALL AE1 - S P IH0 N - W AO0 L +ASPIRANT AE1 - S P ER0 - AH0 N T +ASPIRANT(2) AH0 - S P AY1 - R AH0 N T +ASPIRANTS AE1 - S P ER0 - AH0 N T S +ASPIRANTS(2) AH0 - S P AY1 - R AH0 N T S +ASPIRANTS(3) AE1 - S P ER0 - AH0 N S +ASPIRANTS(4) AH0 - S P AY1 - R AH0 N S +ASPIRATE AE1 - S P ER0 - EY2 T +ASPIRATED AE1 - S P ER0 - EY2 - T IH0 D +ASPIRATES AE1 - S P ER0 - EY2 T S +ASPIRATION AE2 - S P ER0 - EY1 - SH AH0 N +ASPIRATIONS AE2 - S P ER0 - EY1 - SH AH0 N Z +ASPIRE AH0 - S P AY1 R +ASPIRED AH0 - S P AY1 R D +ASPIRES AH0 - S P AY1 - ER0 Z +ASPIRIN AE1 - S P R IH0 N +ASPIRIN'S AE1 S - P R AH0 N Z +ASPIRING AH0 - S P AY1 - R IH0 NG +ASPLUND AE1 S - P L AH0 N D +ASPNES AE1 - S P N EH0 Z +ASQUITH AE1 - S K W IH0 TH +ASS AE1 S +ASSAD AH0 - S AA1 D +ASSAD'S AH0 - S AA1 D Z +ASSAF AH0 - S AE1 F +ASSAIL AH0 - S EY1 L +ASSAILANT AH0 - S EY1 - L AH0 N T +ASSAILANT'S AH0 - S EY1 - L AH0 N T S +ASSAILANTS AH0 - S EY1 - L AH0 N T S +ASSAILED AH0 - S EY1 L D +ASSAILING AH0 - S EY1 - L IH0 NG +ASSAILS AH0 - S EY1 L Z +ASSANTE AA0 - S AA1 N - T IY0 +ASSASSIN AH0 - S AE1 - S AH0 N +ASSASSIN'S AH0 - S AE1 - S AH0 N Z +ASSASSINATE AH0 - S AE1 - S AH0 - N EY2 T +ASSASSINATED AH0 - S AE1 - S AH0 - N EY2 - T AH0 D +ASSASSINATING AH0 - S AE1 - S AH0 - N EY2 - T IH0 NG +ASSASSINATION AH0 - S AE2 - S AH0 - N EY1 - SH AH0 N +ASSASSINATIONS AH0 - S AE2 - S AH0 - N EY1 - SH AH0 N Z +ASSASSINS AH0 - S AE1 - S AH0 N Z +ASSAULT AH0 - S AO1 L T +ASSAULTED AH0 - S AO1 L - T IH0 D +ASSAULTING AH0 - S AO1 L - T IH0 NG +ASSAULTIVE AH0 - S AO1 L - T IH0 V +ASSAULTS AH0 - S AO1 L T S +ASSAY AE1 - S IY0 +ASSAYER AE0 - S EY1 - ER0 +ASSED AE1 S T +ASSELIN AE1 - S IH0 - L IH0 N +ASSELSTINE AE1 - S AH0 L - S T AY2 N +ASSEMBLAGE AH0 - S EH1 M - B L AH0 JH +ASSEMBLAGE(2) AH0 - S EH1 M - B L IH0 JH +ASSEMBLE AH0 - S EH1 M - B AH0 L +ASSEMBLED AH0 - S EH1 M - B AH0 L D +ASSEMBLER AH0 - S EH1 M - B L ER0 +ASSEMBLERS AH0 - S EH1 M - B L ER0 Z +ASSEMBLES AH0 - S EH1 M - B AH0 L Z +ASSEMBLIES AH0 - S EH1 M - B L IY0 Z +ASSEMBLING AH0 - S EH1 M - B AH0 L - IH0 NG +ASSEMBLING(2) AH0 - S EH1 M - B L IH0 NG +ASSEMBLY AH0 - S EH1 M - B L IY0 +ASSEMBLY'S AH0 - S EH1 M - B L IY0 Z +ASSEMBLYMAN AH0 - S EH1 M - B L IY0 - M AE2 N +ASSEMBLYMAN(2) AH0 - S EH1 M - B L IY0 - M AH0 N +ASSEMBLYMEN AH0 - S EH1 M - B L IY0 - M IH0 N +ASSEMBLYWOMAN AH0 - S EH1 M - B L IY0 - W UH2 - M AH0 N +ASSENT AH0 - S EH1 N T +ASSERT AH0 - S ER1 T +ASSERTED AH0 - S ER1 - T AH0 D +ASSERTEDLY AH0 - S ER1 - T IH0 D - L IY0 +ASSERTING AH0 - S ER1 - T IH0 NG +ASSERTION AH0 - S ER1 - SH AH0 N +ASSERTIONS AH0 - S ER1 - SH AH0 N Z +ASSERTIVE AH0 - S ER1 - T IH0 V +ASSERTIVELY AH0 - S ER1 - T IH0 V - L IY0 +ASSERTIVENESS AH0 - S ER1 - T IH0 V - N AH0 S +ASSERTS AH0 - S ER1 T S +ASSES AE1 - S AH0 Z +ASSESS AH0 - S EH1 S +ASSESSED AH0 - S EH1 S T +ASSESSES AH0 - S EH1 - S IH0 Z +ASSESSING AH0 - S EH1 - S IH0 NG +ASSESSMENT AH0 - S EH1 S - M AH0 N T +ASSESSMENTS AH0 - S EH1 S - M AH0 N T S +ASSESSOR AH0 - S EH1 - S ER0 +ASSESSORS AH0 - S EH1 - S ER0 Z +ASSET AE1 - S EH2 T +ASSETS AE1 - S EH2 T S +ASSETS' AE1 - S EH0 T S +ASSICURAZIONI AH0 - S IY2 - K ER0 - AE2 - Z IY0 - OW1 - N IY0 +ASSIDUOUS AH0 - S IH1 - D W AH0 S +ASSIDUOUSLY AH0 - S IH1 - D W AH0 S - L IY0 +ASSIGN AH0 - S AY1 N +ASSIGNED AH0 - S AY1 N D +ASSIGNING AH0 - S AY1 - N IH0 NG +ASSIGNMENT AH0 - S AY1 N - M AH0 N T +ASSIGNMENT'S AH0 - S AY1 N - M AH0 N T S +ASSIGNMENTS AH0 - S AY1 N - M AH0 N T S +ASSIGNS AH0 - S AY1 N Z +ASSIMILATE AH0 - S IH1 - M AH0 - L EY2 T +ASSIMILATED AH0 - S IH1 - M AH0 - L EY2 - T IH0 D +ASSIMILATING AH0 - S IH1 - M AH0 - L EY2 - T IH0 NG +ASSIMILATION AH0 - S IH2 - M AH0 - L EY1 - SH AH0 N +ASSISI AH0 - S IY1 - S IY0 +ASSIST AH0 - S IH1 S T +ASSISTANCE AH0 - S IH1 - S T AH0 N S +ASSISTANT AH0 - S IH1 - S T AH0 N T +ASSISTANTS AH0 - S IH1 - S T AH0 N T S +ASSISTED AH0 - S IH1 - S T AH0 D +ASSISTED(2) AH0 - S IH1 - S T IH0 D +ASSISTING AH0 - S IH1 - S T IH0 NG +ASSISTS AH0 - S IH1 S T S +ASSISTS(2) AH0 - S IH1 S S +ASSISTS(3) AH0 - S IH1 S +ASSOCATION AE2 - S AH0 - K EY1 - SH AH0 N +ASSOCIATE AH0 - S OW1 - S IY0 - AH0 T +ASSOCIATE'S AH0 - S OW1 - S IY0 - AH0 T S +ASSOCIATE'S(2) AH0 - S OW1 - SH IY0 - AH0 T S +ASSOCIATE(2) AH0 - S OW1 - S IY0 - EY2 T +ASSOCIATE(3) AH0 - S OW1 - SH IY0 - AH0 T +ASSOCIATE(4) AH0 - S OW1 - SH IY0 - EY2 T +ASSOCIATED AH0 - S OW1 - S IY0 - EY2 - T AH0 D +ASSOCIATED(2) AH0 - S OW1 - SH IY0 - EY2 - T AH0 D +ASSOCIATES AH0 - S OW1 - S IY0 - AH0 T S +ASSOCIATES' AH0 - S OW1 - SH IY0 - AH0 T S +ASSOCIATES'(2) AH0 - S OW1 - S IY0 - AH0 T S +ASSOCIATES(2) AH0 - S OW1 - S IY0 - EY2 T S +ASSOCIATES(3) AH0 - S OW1 - SH IY0 - AH0 T S +ASSOCIATES(4) AH0 - S OW1 - SH IY0 - EY2 T S +ASSOCIATING AH0 - S OW1 - S IY0 - EY2 - T IH0 NG +ASSOCIATION AH0 - S OW2 - S IY0 - EY1 - SH AH0 N +ASSOCIATION'S AH0 - S OW2 - SH IY0 - EY1 - SH AH0 N Z +ASSOCIATION(2) AH0 - S OW2 - SH IY0 - EY1 - SH AH0 N +ASSOCIATIONS AH0 - S OW2 - S IY0 - EY1 - SH AH0 N Z +ASSOCIATIONS(2) AH0 - S OW2 - SH IY0 - EY1 - SH AH0 N Z +ASSOCIES AE1 - S AH0 - S IY0 Z +ASSORT AH0 - S AO1 R T +ASSORTED AH0 - S AO1 R - T IH0 D +ASSORTMENT AH0 - S AO1 R T - M AH0 N T +ASSUAGE AH0 - S W EY1 JH +ASSUAGED AH0 - S W EY1 JH D +ASSUBEL AE1 - S AH0 - B EH2 L +ASSUME AH0 - S UW1 M +ASSUMED AH0 - S UW1 M D +ASSUMES AH0 - S UW1 M Z +ASSUMING AH0 - S UW1 - M IH0 NG +ASSUMPTION AH0 - S AH1 M P - SH AH0 N +ASSUMPTIONS AH0 - S AH1 M P - SH AH0 N Z +ASSURANCE AH0 - SH UH1 - R AH0 N S +ASSURANCES AH0 - SH UH1 - R AH0 N - S IH0 Z +ASSURANCES(2) AH0 - SH UH1 - R AH0 N T - S IH0 Z +ASSURAS AH0 - SH UH1 - R AH0 S +ASSURE AH0 - SH UH1 R +ASSURED AH0 - SH UH1 R D +ASSUREDLY AH0 - SH UH1 - R AH0 D - L IY0 +ASSURES AH0 - SH UH1 R Z +ASSURING AH0 - SH UH1 - R IH0 NG +ASSYRIA AH0 - S IH1 - R IY0 - AH0 +ASSYRIAN AH0 - S IH1 - R IY0 - AH0 N +ASSYRIANS AH0 - S IH1 - R IY0 - AH0 N Z +AST AE1 S T +ASTA AA1 - S T AH0 +ASTAIRE AH0 - S T EH1 R +ASTER AE1 - S T ER0 +ASTERISK AE1 - S T ER0 - IH0 S K +ASTEROID AE1 - S T ER0 - OY2 D +ASTEROID'S AE1 - S T ER0 - OY2 D Z +ASTEROIDS AE1 - S T ER0 - OY2 D Z +ASTERS AE1 - S T ER0 Z +ASTHMA AE1 Z - M AH0 +ASTHMATIC AE0 Z - M AE1 - T IH0 K +ASTHMATICS EH0 S TH - M EH1 - T IH0 K S +ASTIGMATISM AH0 - S T IH1 G - M AH0 - T IH2 - Z AH0 M +ASTIN AH0 - S T IH1 N +ASTLE AE1 - S AH0 L +ASTLEY AE1 S T - L IY0 +ASTON AE1 - S T AH0 N +ASTONISH AH0 - S T AA1 - N IH0 SH +ASTONISHED AH0 - S T AA1 - N IH0 SH T +ASTONISHING AH0 - S T AA1 - N IH0 - SH IH0 NG +ASTONISHINGLY AH0 - S T AA1 - N IH0 - SH IH0 NG - L IY0 +ASTONISHMENT AH0 - S T AA1 - N IH0 SH - M AH0 N T +ASTOR AE1 - S T ER0 +ASTOR'S AE1 - S T ER0 Z +ASTORGA AA0 - S T AO1 R - G AH0 +ASTORIA AE2 - S T AO1 - R IY0 - AH0 +ASTORINO AA0 - S T AO0 - R IY1 - N OW0 +ASTOUND AH0 - S T AW1 N D +ASTOUNDED AH0 - S T AW1 N - D IH0 D +ASTOUNDING AH0 - S T AW1 N - D IH0 NG +ASTOUNDINGLY AH0 - S T AW1 N - D IH0 NG - L IY0 +ASTOUNDS AH0 - S T AW1 N D Z +ASTRA AE1 S - T R AH0 +ASTRA'S AE1 - S T R AH0 Z +ASTRADDLE AH0 - S T R AE1 - D AH0 L +ASTRAKHAN AE1 - S T R AH0 - K AA0 N +ASTRAL AE1 S - T R AH0 L +ASTRAY AH0 - S T R EY1 +ASTRED AE1 - S T ER0 D +ASTRID AE1 - S T R IH0 D +ASTRIDE AH0 - S T R AY1 D +ASTRINGENT AH0 - S T R IH1 N - JH AH0 N T +ASTRINGENTS AH0 - S T R IH1 N - JH AH0 N T S +ASTRO AE1 - S T R OW0 +ASTRODOME AE1 - S T R AH0 - D OW2 M +ASTROGEOLOGY AE2 - S T R AH0 - JH IY2 - AA1 - L AH0 - JH IY0 +ASTROLOGER AH0 - S T R AA1 - L AH0 - JH ER0 +ASTROLOGERS AH0 - S T R AA1 - L AH0 - JH ER0 Z +ASTROLOGICAL AE2 S - T R AH0 - L AA1 - JH IH0 - K AH0 L +ASTROLOGY AH0 - S T R AA1 - L AH0 - JH IY0 +ASTRONAUT AE1 - S T R AH0 - N AA2 T +ASTRONAUT'S AE1 - S T R AH0 - N AA2 T S +ASTRONAUTIC AE2 - S T R AH0 - N AA1 - T IH0 K +ASTRONAUTICAL AE2 - S T R AH0 - N AA1 - T IH0 - K AH0 L +ASTRONAUTICS AE2 - S T R AH0 - N AA1 - T IH0 K S +ASTRONAUTS AE1 - S T R AH0 - N AO2 T S +ASTRONAUTS' AE1 - S T R AH0 - N AO2 T S +ASTRONOMER AH0 - S T R AA1 - N AH0 - M ER0 +ASTRONOMERS AH0 - S T R AA1 - N AH0 - M ER0 Z +ASTRONOMICAL AE2 - S T R AH0 - N AA1 - M IH0 - K AH0 L +ASTRONOMICALLY AE2 - S T R AH0 - N AA1 - M IH0 K - L IY0 +ASTRONOMY AH0 - S T R AA1 - N AH0 - M IY0 +ASTROPHOTOGRAPHY AE2 - S T R OW0 - F AH0 - T AA1 - G R AH0 - F IY0 +ASTROPHYSICIST AE2 - S T R OW0 - F IH1 - S IH0 - S IH0 S T +ASTROPHYSICS AE2 S - T R OW0 - F IH1 - Z IH0 K S +ASTROS AE1 S - T R OW0 S +ASTROTECH AE1 - S T R OW0 - T EH2 K +ASTROTURF AE1 - S T R OW0 - T ER2 F +ASTUTE AH0 - S T UW1 T +ASTUTELY AH0 - S T UW1 T - L IY0 +ASTUTENESS AH0 - S T UW1 T - N AH0 S +ASUNCION AH0 - S AH1 N - SH AH0 N +ASUNDER AH0 - S AH1 N - D ER0 +ASWIN AH0 - S W IH1 N +ASYLUM AH0 - S AY1 - L AH0 M +ASYMMETRICAL EY2 - S AH0 - M EH1 - T R IH0 - K AH0 L +ASYMMETRIES EY2 - S IH1 - M AH0 - T R IY0 Z +ASYMMETRY EY2 - S IH1 - M AH0 - T R IY0 +ASYMPTOMATIC EY2 - S IH2 M P - T AH0 - M AE1 - T IH0 K +ASYMPTOTE AE1 - S AH0 M - T OW2 T +ASYMPTOTE(2) AE1 - S IH0 M P - T OW2 T +ASYMPTOTES AE1 - S AH0 M - T OW2 T S +ASYMPTOTES(2) AE1 - S IH0 M P - T OW2 T S +ASYNCHRONOUS EY1 - S IH1 NG - K R AH0 - N AH0 S +AT AE1 T +AT-BAT AE1 T - B AE1 T +AT-BATS AE1 T - B AE1 T S +ATA AA1 - T AH0 +ATALANTA AE2 - T AH0 - L AE1 N - T AH0 +ATALAYA AA0 - T AA0 - L EY1 - AH0 +ATALIA AA0 - T AA1 - L IY0 - AH0 +ATALIE AE1 - T AH0 - L IY0 +ATAMIAN AH0 - T EY1 - M IY0 - AH0 N +ATARI AH0 - T AA1 - R IY0 +ATARI'S AH0 - T AA1 - R IY0 Z +ATATURK AE1 - T AH0 - T ER2 K +ATATURK'S AE1 - T AH0 - T ER2 K S +ATAVISM AE1 - T AH0 - V IH0 - Z AH0 M +ATAVISTIC AE1 - T AH0 - V IH0 - S T IH0 K +ATAXIA EY1 - T AE1 K - S IY0 - AH0 +ATAXIA'S EY1 - T AE1 K - S IY0 - AH0 Z +ATCHESON AE1 - CH IH0 - S AH0 N +ATCHINSON AE1 - CH IH0 N - S AH0 N +ATCHISON AE1 - CH IH0 - S AH0 N +ATCHLEY AE1 CH - L IY0 +ATCO AE1 T - K OW0 +ATCOR AE1 T - K AO0 R +ATE EY1 T +ATEK EY1 - T EH2 K +ATEN EY1 - T AH0 N +ATENCIO AH0 - T EH1 N - S IY0 - OW0 +ATER EY1 - T ER0 +ATES EY1 T S +ATHA AE1 - TH AH0 +ATHALIA EY0 - TH AE1 - L IY0 - AH0 +ATHANAS EY0 - TH AE1 - N AH0 Z +ATHANASSIOU AA2 - TH AH0 - N AH0 - S IY1 - UW0 +ATHANS AE1 - TH AH0 N Z +ATHAS EY1 - DH AH0 Z +ATHEARN EY1 - TH ER0 N +ATHEISM AH0 - TH AY1 - S AH0 M +ATHEISM(2) EY1 - TH IY0 - IH2 - Z AH0 M +ATHEIST EY1 - TH IY0 - AH0 S T +ATHEISTIC EY2 - TH IY0 - IH1 - S T IH0 K +ATHEISTS EY1 - TH IY0 - AH0 S T S +ATHEISTS(2) EY1 - TH IY0 - AH0 S S +ATHEISTS(3) EY1 - TH IY0 - AH0 S +ATHENA AH0 - TH IY1 - N AH0 +ATHENAEUM AE2 - TH AH0 - 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K IH0 N - S AH0 N +ATKISON AE1 T - K IH0 - S AH0 N +ATKISSON AE1 T - K IH0 - S AH0 N +ATLA AE1 T - L AH0 +ATLANTA AE0 T - L AE1 N - T AH0 +ATLANTA'S AE0 T - L AE1 N - T AH0 Z +ATLANTA'S(2) AE0 T - L AE1 - N AH0 Z +ATLANTA(2) AH0 T - L AE1 N - T AH0 +ATLANTA(3) AE0 T - L AE1 - N AH0 +ATLANTA(4) AH0 T - L AE1 - N AH0 +ATLANTAN AE2 T - L AE1 N - T AH0 N +ATLANTAN(2) AE2 T - L AE1 - N AH0 N +ATLANTANS AE2 T - L AE1 N - T AH0 N Z +ATLANTANS(2) AE2 T - L AE1 - N AH0 N Z +ATLANTIC AH0 T - L AE1 N - T IH0 K +ATLANTIC'S AH0 T - L AE1 N - T IH0 K S +ATLANTIC'S(2) AH0 T - L AE1 - N IH0 K S +ATLANTIC(2) AH0 T - L AE1 - N IH0 K +ATLANTICA AE2 T - L AE1 N - T IH0 - K AH0 +ATLANTICO AE2 T - L AE1 N - T IH0 - K OW0 +ATLANTIS AE0 T - L AE1 N - T IH0 S +ATLANTIS' AE0 T - L AE1 N - T IH0 S +ATLANTIS'(2) AE0 T - L AE1 N - T IH0 - S IH0 Z +ATLANTIS'S AE0 T - L AE1 N - T IH0 - S IH0 Z +ATLANTIS(2) AE0 T - L AE1 - N IH0 S +ATLAS AE1 T - L AH0 S +ATLAS'S AE1 T - L AH0 - S IH0 Z +ATLASES AE0 T - L EY1 - S IH0 Z +ATLASES(2) AE1 T - L AH0 - S IH0 Z +ATLER AE1 T - L ER0 +ATLEY AE1 T - L IY0 +ATMEL AE1 T - M AH0 L +ATMOSPHERE AE1 T - M AH0 - S F IH2 R +ATMOSPHERIC AE2 T - M AH0 S - F EH1 - R IH0 K +ATMOSPHERICS AE2 T - M AH0 S - F EH1 - R IH0 K S +ATNIP AE1 T - N IH0 P +ATOCHA AH0 - T AA1 - CH AH0 +ATOLL AE1 - T AA0 L +ATOM AE1 - T AH0 M +ATOMIC AH0 - T AA1 - M IH0 K +ATOMIZER AE1 - T AH0 - M AY2 - Z ER0 +ATOMS AE1 - T AH0 M Z +ATON AH0 - T AA1 N +ATONAL EY0 - T OW1 - N AH0 L +ATONE AH0 - T OW1 N +ATONEMENT AH0 - T OW1 N - M AH0 N T +ATOP AH0 - T AA1 P +ATOR EH1 - T ER0 +ATORINO AE2 - T ER0 - IY1 - N OW0 +ATP EY1 - T IY1 - P IY1 +ATRA EY1 - T R AH0 +ATRIA EY1 - T R IY0 - AH0 +ATRIUM EY1 - T R IY0 - AH0 M +ATROCIOUS AH0 - T R OW1 - SH AH0 S +ATROCITIES AH0 - T R AA1 - S AH0 - T IY0 Z +ATROCITY AH0 - T R AA1 - S AH0 - T IY0 +ATROPHIED AE1 - T R AH0 - F IY0 D +ATROPHY AE1 - T R AH0 - F IY0 +ATSUSHI AA0 - S S UW0 - SH IY0 +ATSUSHI(2) AA0 - S UW0 - SH IY0 +ATTA AE1 - T AH0 +ATTABOY AE1 - T AH0 - B OY2 +ATTABOYS AE1 - T AH0 - B OY2 Z +ATTACH AH0 - T AE1 CH +ATTACHE AE2 - T AH0 - SH EY1 +ATTACHED AH0 - T AE1 CH T +ATTACHES AH0 - T AE1 - CH IH0 Z +ATTACHING AH0 - T AE1 - CH IH0 NG +ATTACHMENT AH0 - T AE1 CH - M AH0 N T +ATTACHMENTS AH0 - T AE1 CH - M AH0 N T S +ATTACK AH0 - T AE1 K +ATTACKED AH0 - T AE1 K T +ATTACKER AH0 - T AE1 - K ER0 +ATTACKERS AH0 - T AE1 - K ER0 Z +ATTACKING AH0 - T AE1 - K IH0 NG +ATTACKS AH0 - T AE1 K S +ATTAIN AH0 - T EY1 N +ATTAINABLE AH0 - T EY1 - N AH0 - B AH0 L +ATTAINDER AH0 - T EY1 N - D ER0 +ATTAINED AH0 - T EY1 N D +ATTAINING AH0 - T EY1 - N IH0 NG +ATTAINMENT AH0 - T EY1 N - M AH0 N T +ATTAINS AH0 - T EY1 N Z +ATTALI AH0 - T AA1 - L IY0 +ATTALLA AH0 - T AE1 - L AH0 +ATTANASIO AA0 - T AA0 - N AA1 - S IY0 - OW0 +ATTAR AE1 - T ER0 +ATTARD AE1 - T ER0 D +ATTARDO AA0 - T AA1 R - D OW0 +ATTAWAY AE1 T - AH0 - W EY0 +ATTEBERRY AE1 T - B EH0 - R IY0 +ATTEBERY AH0 - T EH1 - B ER0 - IY0 +ATTEBURY AE1 T - B EH0 - R IY0 +ATTEMPT AH0 - T EH1 M P T +ATTEMPTED AH0 - T EH1 M P - T AH0 D +ATTEMPTING AH0 - T EH1 M P - T IH0 NG +ATTEMPTS AH0 - T EH1 M P T S +ATTEMPTS(2) AH0 - T EH1 M P S +ATTENBOROUGH AE1 - T AH2 N - B ER0 - OW0 +ATTEND AH0 - T EH1 N D +ATTENDANCE AH0 - T EH1 N - D AH0 N S +ATTENDANT AH0 - T EH1 N - D AH0 N T +ATTENDANTS AH0 - T EH1 N - D AH0 N T S +ATTENDANTS' AH0 - T EH1 N - D AH0 N T S +ATTENDED AH0 - T EH1 N - D AH0 D +ATTENDEE AH0 - T EH1 N - D IY1 +ATTENDEES AH0 - T EH1 N - D IY1 Z +ATTENDING AH0 - T EH1 N - D IH0 NG +ATTENDS AH0 - T EH1 N D Z +ATTENTION AH0 - T EH1 N - SH AH0 N +ATTENTIONS AH0 - T EH1 N - SH AH0 N Z +ATTENTIVE AH0 - T EH1 N - T IH0 V +ATTENTIVELY AH0 - T EH1 N - T IH0 V - L IY0 +ATTENTIVENESS AH0 - T EH1 N - T IH0 V - N AH0 S +ATTENUATE AH0 - T EH1 - N Y UW0 - EY2 T +ATTENUATED AH0 - T EH1 - N Y UW0 - EY2 - T IH0 D +ATTENUATES AH0 - T EH1 - N Y UW0 - EY2 T S +ATTERBERRY AE1 - T ER0 - B EH0 - R IY0 +ATTERBURY AE1 - T ER0 - B EH2 - R IY0 +ATTERMANN AE1 - T ER0 - M AH0 N +ATTEST AH0 - T EH1 S T +ATTESTED AH0 - T EH1 - S T IH0 D +ATTESTING AH0 - T EH1 - S T IH0 NG +ATTESTS AH0 - T EH1 S T S +ATTESTS(2) AH0 - T EH1 S S +ATTESTS(3) AH0 - T EH1 S +ATTIC AE1 - T IH0 K +ATTICA AE1 - T IH0 - K AH0 +ATTICS AE1 - T IH0 K S +ATTICUS AE1 - T IH0 - K AH0 S +ATTIE AE1 - T IY0 +ATTILA AH0 - T IH1 - L AH0 +ATTILA'S AH0 - T IH1 - L AH0 Z +ATTIRE AH0 - T AY1 - ER0 +ATTIRED AH0 - T AY1 R D +ATTITUDE AE1 - T AH0 - T UW2 D +ATTITUDES AE1 - T AH0 - T UW2 D Z +ATTITUDINAL AE2 - T AH0 - T UW1 - D AH0 - N AH0 L +ATTKISSON AE1 T - K IH0 - S AH0 N +ATTLEBORO AE1 - T AH0 L - B ER0 - OW0 +ATTLEE AE1 T - L IY0 +ATTORNEY AH0 - T ER1 - N IY0 +ATTORNEY'S AH0 - T ER1 - N IY0 Z +ATTORNEYS AH0 - T ER1 - N IY0 Z +ATTORNEYS' AH0 - T ER1 - N IY0 Z +ATTRACT AH0 - T R AE1 K T +ATTRACTED AH0 - T R AE1 K - T AH0 D +ATTRACTING AH0 - T R AE1 K - T IH0 NG +ATTRACTION AH0 - T R AE1 K - SH AH0 N +ATTRACTIONS AH0 - T R AE1 K - SH AH0 N Z +ATTRACTIVE AH0 - T R AE1 K - T IH0 V +ATTRACTIVELY AH0 - T R AE1 K - T IH0 V - L IY0 +ATTRACTIVENESS AH0 - T R AE1 K - T IH0 V - N AH0 S +ATTRACTS AH0 - T R AE1 K T S +ATTRIBUTABLE AH0 - T R IH1 - B Y AH0 - T AH0 - B AH0 L +ATTRIBUTE AE1 - T R AH0 - B Y UW2 T +ATTRIBUTE(2) AH0 - T R IH1 - B Y UW2 T +ATTRIBUTED AH0 - T R IH1 - B Y AH0 - T AH0 D +ATTRIBUTES AE1 - T R AH0 - B Y UW2 T S +ATTRIBUTES(2) AH0 - T R IH1 - B Y UW2 T S +ATTRIBUTING AH0 - T R IH1 - B Y AH0 - T IH0 NG +ATTRIBUTION AE2 - T R IH0 - B Y UW1 - SH AH0 N +ATTRIDGE AH0 - T R IH1 JH +ATTRITION AH0 - T R IH1 - SH AH0 N +ATTUNE AH0 - T UW1 N +ATTUNED AH0 - T UW1 N D +ATTWOOD AE1 T - W UH2 D +ATTWOODS AE1 T - W UH2 D Z +ATWATER AE1 T - W AO0 - T ER0 +ATWELL AH0 T - W EH1 L +ATWOOD AE1 T - W UH2 D +ATWORTH AE1 T - W ER0 TH +ATX EY1 - T IY1 - EH1 K S +ATYPICAL EY0 - T IH1 - P IH0 - K AH0 L +ATZ AE1 T S +AU OW1 +AUBE AO1 B +AUBEL AW1 - B AH0 L +AUBER AO1 - B ER0 +AUBERRY AO1 - B EH2 - R IY0 +AUBERT AO1 - B ER0 T +AUBIN AO1 - B IH0 N +AUBLE AO1 - B AH0 L +AUBREY AO1 - B R IY0 +AUBRY AO1 - B R IY0 +AUBUCHON OW1 - B AH0 - SH AA0 N +AUBURN AA1 - B ER0 N +AUCH AO1 CH +AUCHTER AW1 K - T ER0 +AUCKLAND AA1 - K L AH0 N D +AUCLAIR OW0 - K L EH1 R +AUCOIN OW0 - K OY1 N +AUCOTT AO1 - K AA2 T +AUCTION AA1 K - SH AH0 N +AUCTION'S AO1 K - SH AH0 N Z +AUCTION(2) AO1 K - SH AH0 N +AUCTIONED AO1 K - SH AH0 N D +AUCTIONEER AA2 K - SH AH0 - N IH1 R +AUCTIONEERING AO2 K - SH AH0 - N IH1 - R IH0 NG +AUCTIONEERS AO1 K - SH AH0 - N IH1 R Z +AUCTIONING AO1 K - SH AH0 N - IH0 NG +AUCTIONS AA1 K - SH AH0 N Z +AUCTIONS(2) AO1 K - SH AH0 N Z +AUD AO1 D +AUDACIOUS AA0 - D EY1 - SH AH0 S +AUDACITY AA0 - D AE1 - S AH0 - T IY0 +AUDAS OW0 - D AA1 Z +AUDEN AO1 - D AH0 N +AUDERBURN AO1 - D ER0 - B ER0 N +AUDET OW0 - D EH1 T +AUDETTE OW0 - D EH1 T +AUDI AO1 - D IY0 +AUDI'S AO1 - D IY0 Z +AUDI'S(2) AW1 - D IY0 Z +AUDI(2) AW1 - D IY0 +AUDIA AO1 - D IY0 - AH0 +AUDIBLE AA1 - D AH0 - B AH0 L +AUDIBLY AA1 - D AH0 - B L IY0 +AUDIENCE AA1 - D IY0 - AH0 N S +AUDIENCE'S AA1 - D IY0 - AH0 N - S AH0 Z +AUDIENCE'S(2) AO1 - D IY0 - AH0 N - S AH0 Z +AUDIENCE(2) AO1 - D IY0 - AH0 N S +AUDIENCES AA1 - D IY0 - AH0 N - 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N AH0 S +AWNING AA1 - N IH0 NG +AWOKE AH0 - W OW1 K +AWRY ER0 - AY1 +AWTREY AO1 - T R IY0 +AX AE1 K S +AXA AE1 K - S AH0 +AXA'S AE1 K - S AH0 Z +AXE AE1 K S +AXED AE1 K S T +AXEL AE1 K - S AH0 L +AXELRAD AE0 K - S EH1 L - R AH0 D +AXELROD AE1 K - S AH0 L - R AA2 D +AXELSEN AE0 K - S EH1 L - S AH0 N +AXELSON AE1 K - S IH0 L - S AH0 N +AXES AE1 K - S IH0 Z +AXES(2) AE1 K - S IY0 Z +AXFORD AE0 K S - F AO1 R D +AXID AE1 K - S IH0 D +AXILROD AE1 K - S IH0 L - R AA2 D +AXIOM AE1 K - S IY0 - AH0 M +AXIOMATIC AE2 K - S IY0 - AH0 - M AE1 - T IH0 K +AXIOMS AE1 K - S IY0 - AH0 M Z +AXIS AE1 K - S AH0 S +AXLE AE1 K - S AH0 L +AXLES AE1 K - S AH0 L Z +AXLEY AE1 K S - L IY0 +AXLINE AE1 K - S L AY2 N +AXLON AE1 K - S L AA0 N +AXON AE1 K - S AA2 N +AXONS AE1 K - S AA2 N Z +AXSOM AE1 K - S AH0 M +AXT AE1 K S T +AXTELL AE0 K - S T EH1 L +AXTMAN AE1 K - S T M AH0 N +AXTON AE1 K - S T AH0 N +AY EY1 +AY(2) AY1 +AYACUCHO AY2 - AH0 - K AH1 - CH OW0 +AYAKO AH0 - Y AA1 - K OW0 +AYALA AH0 - Y AA1 - L AH0 +AYARS EY1 - ER0 Z +AYATOLLAH AY2 - AH0 - T OW1 - L AH0 +AYATOLLAH'S AY2 - AH0 - T OW1 - L AH0 +AYATOLLAHS AY2 - AH0 - T AA1 - L AA0 Z +AYBAR EY1 - B ER0 +AYCOCK EY1 - K AH0 K +AYDAR AY1 - D AA2 R +AYDAR(2) EY1 - D AA2 R +AYDELOTT EY1 - D IH0 - L AA0 T +AYDELOTTE EY1 - D AH0 - L AA2 T +AYDIN EY1 - D IH0 N +AYDT EY1 T +AYE AY1 +AYER AY1 - ER0 +AYER'S EH1 R Z +AYER'S(2) EY1 R Z +AYER(2) EY1 - ER0 +AYERS AY1 - ER0 Z +AYERS(2) EY1 - ER0 Z +AYERST EY1 - ER0 S T +AYERST(2) EH1 - R AH0 S T +AYES AY1 Z +AYGEN AY1 - G AH0 N +AYGEN(2) EY1 - G AH0 N +AYKROYD EY1 - K R OY2 D +AYKROYD(2) AY1 - K R OY2 D +AYLER EY1 - L ER0 +AYLES EY1 L Z +AYLESWORTH EY1 L Z - W ER0 TH +AYLESWORTH(2) EY1 - AH0 L Z - W ER0 TH +AYLING EY1 - L IH0 NG +AYLMER EY1 L - M ER0 +AYLOR EY1 - L ER0 +AYLSWORTH EY1 L - S W ER0 TH +AYLWARD EY1 L - W ER0 D +AYLWIN EY1 L - W IH0 N +AYLWIN(2) AY1 L - W IH2 N +AYLWORTH EY1 L - W ER0 TH +AYMOND EY1 - M AH0 N D +AYN EY1 N +AYNES EY1 N Z +AYO EY1 - OW0 +AYODHYA AY2 - AA1 - D Y AH0 +AYON EY0 - AO1 N +AYOTTE EY0 - AO1 T +AYOUB EY1 - AW0 B +AYR EY1 R +AYRE EH1 R +AYRES EH1 R Z +AYSCUE EY1 - S K Y UW0 +AYTES EY1 T S +AYUSO AY0 - UW1 - S OW0 +AYYAD AY2 - AA1 D +AYYAD'S AY2 - AA1 D Z +AYYAD'S(2) AY2 - AE1 D Z +AYYAD(2) AY2 - AE1 D +AYYASH AY1 Y - AE2 SH +AZACTAM AH0 - Z AE1 K - T AE0 M +AZALEA AH0 - Z EY1 - L Y AH0 +AZALEAS AH0 - Z EY1 - L Y AH0 Z +AZALIA AA0 - Z AA1 - L IY0 - AH0 +AZAR AA0 - Z AA1 R +AZAROW AE1 - Z ER0 - OW0 +AZBELL AE1 Z - B EH0 L +AZBILL AA0 Z - B IY1 L +AZCARRAGA AE0 Z - K AA2 - R AA1 - G AH0 +AZCONA AE0 Z - K OW1 - N AH0 +AZCUENAGA AE0 Z - K W EY2 - N AA1 - G AH0 +AZELIA AA0 - Z EH1 - L IY0 - AH0 +AZERBAIJAN AA2 - Z ER0 - B AY0 - JH AA1 N +AZERBAIJAN'S AA2 - Z ER0 - B AY0 - JH AA1 N Z +AZERBAIJAN'S(2) AE2 - Z ER0 - B AY0 - JH AA1 N Z +AZERBAIJAN(2) AE2 - Z ER0 - B AY0 - JH AA1 N +AZERBAIJANI AA2 - Z ER0 - B AY0 - JH AA1 - N IY0 +AZERBAIJANI(2) AE2 - Z ER0 - B AY0 - JH AA1 - N IY0 +AZERBAIJANIS AA2 - Z ER0 - B AY0 - JH AA1 - N IY0 Z +AZERBAIJANIS(2) AE2 - Z ER0 - B AY0 - JH AA1 - N IY0 Z +AZERI AH0 - Z EH1 - R IY0 +AZEVEDO AA0 - Z EY0 - V EY1 - D OW0 +AZHAR AH0 - Z AA1 R +AZHAR'S AH0 - Z AA1 R Z +AZIDES AE1 - Z AY2 D Z +AZIDOTHYMIDINE AH0 - Z IH2 - D AH0 - TH AY1 - M AH0 - D IY2 N +AZIDOTHYMIDINE(2) AH0 - Z IH2 - D AH0 - TH AY1 - M AH0 - D AY2 N +AZIDOTHYMIDINE(3) EY0 - Z AY2 - D AH0 - TH AY1 - M AH0 - D IY2 N +AZIDOTHYMIDINE(4) EY0 - Z AY2 - D AH0 - TH AY1 - M AH0 - D AY2 N +AZINGER EY1 - Z IH0 - NG ER0 +AZIZ AH0 - Z IY1 Z +AZMEER AE1 Z - M IH2 R +AZOFF AE1 - Z AO0 F +AZORES AH0 - Z AO1 R Z +AZPURUA AE0 Z - P Y UH1 - R UW0 - AH0 +AZTAR AE1 Z - T ER0 +AZTEC AE1 Z - T EH2 K +AZTECA AE2 Z - T EH1 - K AH0 +AZTECS AE1 Z - T EH2 K S +AZURA AH0 - Z UH1 - R AH0 +AZURE AE1 - ZH ER0 +AZZARA AA0 T - S AA1 - R AH0 +AZZARELLO AA0 T - S AA0 - R EH1 - L OW0 +AZZARO AA0 T - S AA1 - R OW0 +AZZATO AH0 - Z AA1 - T OW0 +AZZOPARDI AA0 T - S OW0 - P AA1 R - D IY0 +B B IY1 +B'GOSH B AH0 - G AO1 SH +B'NAI B AH0 - N EY1 +B'RITH B R IH1 TH +B'S B IY1 Z +B-J B IY1 - JH EY1 +B-J'S B IY1 - JH EY1 Z +B. B IY1 +B.'S B IY1 Z +B.S B IY1 Z +BA'ATH B AA1 TH +BA'ATH(2) B AH0 - AA1 TH +BAAB B AA1 B +BAACK B AA1 K +BAADE B AA1 D +BAALBEK B AA1 L - B EH0 K +BAALBEQ B AA1 L - B EH0 K +BAAR B AA1 R +BAARS B AA1 R Z +BAAS B AA1 Z +BAASCH B AA1 SH +BAATZ B AA1 T S +BAB B AE1 B +BABA B AA1 - B AH0 +BABANGIDA B AH0 - B AA1 NG - G IH0 - D AH0 +BABANGIDA(2) B AH0 - B AE1 NG - G IH0 - D AH0 +BABB B AE1 B +BABBAGE B AE1 - B IH0 JH +BABBAGE'S B AE1 - B IH0 - JH IH0 Z +BABBIO B AE1 - B IY0 - OW0 +BABBIT B AE1 - B IH0 T +BABBIT'S B AE1 - B IH0 T S +BABBITT B AE1 - B IH0 T +BABBITT'S B AE1 - B AH0 T S +BABBITTS B AE1 - B AH0 T S +BABBLE B AE1 - B AH0 L +BABBLED B AE1 - B AH0 L D +BABBLER B AE1 - B L ER0 +BABBLERS B AE1 - B L ER0 Z +BABBLING B AE1 - B AH0 L - IH0 NG +BABBLING(2) B AE1 - B L IH0 NG +BABBS B AE1 B Z +BABCOCK B AE1 B - K AO0 K +BABE B EY1 B +BABEL B AE1 - B AH0 L +BABER B EY1 - B ER0 +BABERS B EY1 - B ER0 Z +BABES B EY1 B Z +BABETTE B AH0 - B EH1 T +BABIAK B AA1 - B IY0 - AE0 K +BABIARZ B AH0 - B IY1 - ER0 Z +BABIC B AA1 - B IH0 K +BABICH B AE1 - B IH0 CH +BABIES B EY1 - B IY0 Z +BABIES' B EY1 - B IY0 Z +BABIK B AA1 - B IH0 K +BABIN B AE1 - B IH0 N +BABINEAU B AE1 - B IH0 - N OW2 +BABINEAUX B AE1 - B IH0 - N OW2 +BABINGTON B AE1 - B IH0 NG - T AH0 N +BABINO B AA0 - B IY1 - N OW0 +BABINSKI B AH0 - B IH1 N - S K IY0 +BABISH B AE1 - B IH0 SH +BABITA B AA0 - B IY1 - T AH0 +BABKA B AE1 B - K AH0 +BABLER B EY1 - B AH0 L - ER0 +BABOON B AH0 - B UW1 N +BABOON'S B AE0 - B UW1 N Z +BABOON'S(2) B AH0 - B UW1 N Z +BABOONS B AE0 - B UW1 N Z +BABOONS(2) B AH0 - B UW1 N Z +BABS B AE1 B Z +BABSON B AE1 B - S AH0 N +BABU B AA0 - B UW1 +BABULA B AA0 - B UW1 - L AH0 +BABUSHKA B AH0 - B UH1 SH - K AH0 +BABUSHKAS B AH0 - B UH1 SH - K AH0 Z +BABY B EY1 - B IY0 +BABY'S B EY1 - B IY0 Z +BABYAK B AE1 - B IY0 - AE0 K +BABYHOOD B EY1 - B IY0 - HH UH2 D +BABYISH B EY1 - B IY0 - IH0 SH +BABYLON B AE1 - B AH0 - L AA2 N +BABYLONIAN B AE2 - B AH0 - L OW1 - N IY0 - AH0 N +BABYLONIANS B AE2 - B AH0 - L OW1 - N IY0 - AH0 N Z +BABYSAT B EY1 - B IY0 - S AE2 T +BABYSIT B EY1 - B IY0 - S IH0 T +BABYSITTER B EY1 - B IY0 - S IH2 - T ER0 +BABYSITTERS B EY1 - B IY0 - S IH2 - T ER0 Z +BABYSITTING B EY1 - B IY0 - S IH2 - T IH0 NG +BACA B AE1 - K AH0 +BACALL B AH0 - K AO1 L +BACARDI B AH0 - K AA1 R - D IY0 +BACCALAUREATE B AE2 - K AH0 - L AO1 - R IY0 - AH0 T +BACCARAT B AA2 - K ER0 - AA1 +BACCARI B AA0 - K AA1 - R IY0 +BACCHANALIA B AE2 - K AH0 - N EY1 - L Y AH0 +BACCHI B AE1 - K IY0 +BACCHUS B AE1 - K IH0 S +BACCI B AA1 - CH IY0 +BACCUS B AE1 - K AH0 S +BACH B AA1 K +BACHA B AE1 - CH AH0 +BACHAND B AE1 - CH AH0 N D +BACHAR B AA1 - K ER0 +BACHARACH B AE1 - K ER0 - AE0 K +BACHE B AE1 CH +BACHE'S B AE1 - CH IH0 Z +BACHE'S(2) B EY1 - CH IH0 Z +BACHE(2) B EY1 CH +BACHELDER B AA1 - K IH0 L - D ER0 +BACHELLER B AA1 - K AH0 - L ER0 +BACHELOR B AE1 - CH AH0 - L ER0 +BACHELOR'S B AE1 - CH AH0 - L ER0 Z +BACHELOR'S(2) B AE1 CH - L ER0 Z +BACHELOR(2) B AE1 CH - L ER0 +BACHELORS B AE1 CH - L ER0 Z +BACHER B AA1 - K ER0 +BACHERA B AA1 - K ER0 - AH0 +BACHERT B AE1 - CH ER0 T +BACHLER B AE1 K - L ER0 +BACHMAN B AA1 K - M AH0 N +BACHMANN B AA1 K - M AH0 N +BACHMEIER B AA1 K - M AY0 - ER0 +BACHNER B AA1 K - N ER0 +BACHRACH B AA1 - K R AH0 K +BACHTEL B AE1 K - T AH0 L +BACHTELL B AE1 K - T AH0 L +BACHUS B AE1 - CH AH0 S +BACIGALUPI B AA0 - CH IY0 - G AA0 - L UW1 - P IY0 +BACIGALUPO B AA0 - CH IY0 - G AA0 - L UW1 - P OW0 +BACIK B AA1 - CH IH0 K +BACILLUS B AH0 - S IH1 - L AH0 S +BACINO B AA0 - CH IY1 - N OW0 +BACK B AE1 K +BACKACHE B AE1 K - EY2 K +BACKACHES B AE1 K - EY2 K S +BACKBITE B AE1 K - B AY2 T +BACKBITING B AE1 K - B AY2 - T IH0 NG +BACKBOARD B AE1 K - B AO2 D +BACKBONE B AE1 K - B OW2 N +BACKDATE B AE1 K - D EY2 T +BACKDATED B AE1 K - D EY2 - T IH0 D +BACKDOOR B AE1 K - D AO2 R +BACKDROP B AE1 K - D R AA2 P +BACKDROPS B AE1 K - D R AA2 P S +BACKE B AE1 K +BACKED B AE1 K T +BACKER B AE1 - K ER0 +BACKER'S B AE1 - K ER0 Z +BACKERS B AE1 - K ER0 Z +BACKES B AE1 K S +BACKFIELD B AE1 K - F IY2 L D +BACKFIRE B AE1 K - F AY2 R +BACKFIRED B AE1 K - F AY2 - ER0 D +BACKFIRES B AE1 K - F AY2 - ER0 Z +BACKFIRING B AE1 K - F AY2 - ER0 - IH0 NG +BACKGAMMON B AE1 K - G AE2 - M AH0 N +BACKGROUND B AE1 K - G R AW2 N D +BACKGROUNDS B AE1 K - G R AW2 N D Z +BACKHAND B AE1 K - HH AE2 N D +BACKHANDED B AE1 K - HH AE2 N - D AH0 D +BACKHANDED(2) B AE1 K - HH AE2 N - D IH0 D +BACKHAUS B AE1 K - HH AW2 S +BACKHOE B AE1 K - HH OW2 +BACKING B AE1 - K IH0 NG +BACKLASH B AE1 K - L AE2 SH +BACKLESS B AE1 K - L AH0 S +BACKLIGHT B AE1 K - L AY2 T +BACKLIGHTS B AE1 K - L AY2 T S +BACKLIST B AE1 K - L IH2 S T +BACKLOG B AE1 K - L AA2 G +BACKLOG(2) B AE1 K - L AO2 G +BACKLOGGED B AE1 K - L AA2 G D +BACKLOGS B AE1 K - L AO2 G Z +BACKLUND B AE1 K - L AH0 N D +BACKMAN B AE1 K - M AH0 N +BACKPACK B AE1 K - P AE2 K +BACKPACKS B AE1 K - P AE2 K S +BACKPEDAL B AE1 K - P EH2 - D AH0 L +BACKPEDALED B AE1 K - P EH2 - D AH0 L D +BACKPEDALING B AE1 K - P EH2 - D AH0 L - IH0 NG +BACKPEDALING(2) B AE1 K - P EH2 D - L IH0 NG +BACKREST B AE1 - K R EH2 S T +BACKROOM B AE1 K - R UW2 M +BACKS B AE1 K S +BACKSAW B AE1 K - S AA2 +BACKSAW(2) B AE1 K - S AO2 +BACKSEAT B AE0 K - S IY1 T +BACKSET B AE1 K - S EH2 T +BACKSIDE B AE1 K - S AY2 D +BACKSLAP B AE1 K - S L AE2 P +BACKSLAPPING B AE1 K - S L AE2 - P IH0 NG +BACKSLASH B AE1 K - S L AE2 SH +BACKSLIDE B AE1 K - S L AY2 D +BACKSLIDING B AE1 K - S L AY2 - D IH0 NG +BACKSPIN B AE1 K - S P IH0 N +BACKSTAGE B AE1 K - S T EY1 JH +BACKSTAIRS B AE1 K - S T EH2 R Z +BACKSTITCH B AE1 K - S T IH0 CH +BACKSTOP B AE1 K - S T AA2 P +BACKSTROKE B AE1 K - S T R OW2 K +BACKSTROM B AE1 K - S T R AH0 M +BACKTRACK B AE1 K - T R AE2 K +BACKTRACKED B AE1 K - T R AE2 K T +BACKTRACKING B AE1 K - T R AE2 - K IH0 NG +BACKUP B AE1 K - AH2 P +BACKUPS B AE1 K - AH2 P S +BACKUS B AE1 - K AH0 S +BACKWARD B AE1 K - W ER0 D +BACKWARDATION B AE2 K - W ER0 - D EY1 - SH AH0 N +BACKWARDNESS B AE1 - K W ER0 D - N AH0 S +BACKWARDS B AE1 K - W ER0 D Z +BACKWASH B AE1 K - W AA2 SH +BACKWATER B AE1 K - W AO2 - T ER0 +BACKWATERS B AE1 K - W AO2 - T ER0 Z +BACKWOODS B AE1 K - W UH1 D Z +BACKWOODSMAN B AE1 K - W UH1 D Z - M AH0 N +BACKYARD B AE1 K - Y AA2 R D +BACKYARDS B AE1 K - Y AA2 R D Z +BACON B EY1 - K AH0 N +BACON'S B EY1 - K AH0 N Z +BACORN B AE1 - K ER0 N +BACOT B AE1 - K AH0 T +BACOT(2) B EY1 - K AE0 T +BACOTE B AH0 - K OW1 T +BACTERIA B AE0 K - T IH1 - R IY0 - AH0 +BACTERIAL B AE0 K - T IH1 - R IY0 - AH0 L +BACTERIOLOGY B AE2 K - T IH0 - R IY2 - AA1 - L AH0 - JH IY0 +BACTERIUM B AE0 K - T IH1 - R IY0 - AH0 M +BACUS B AE1 - K IH0 S +BAD B AE1 D +BADA B AA1 - D AH0 +BADAL B EY1 - D AH0 L +BADALAMENTI B AA0 - D AA0 - L AA0 - M EH1 N - T IY0 +BADAMI B AA0 - D AA1 - M IY0 +BADAVATZ B AE1 - D AH0 - V AE2 T S +BADDERS B AE1 - D ER0 Z +BADE B EY1 D +BADEAH B AH0 - D IY1 - AH0 +BADEAU B AH0 - D OW1 +BADEAUX B AH0 - D OW1 +BADEN B EY1 - D AH0 N +BADEN'S B AA1 - D AH0 N Z +BADER B AE1 - D ER0 +BADER(2) B EY1 - D ER0 +BADERTSCHER B AE1 - D ER0 - CH ER0 +BADGE B AE1 JH +BADGER B AE1 - JH ER0 +BADGER'S B AE1 - JH ER0 Z +BADGERED B AE1 - JH ER0 D +BADGERING B AE1 - JH ER0 - IH0 NG +BADGERS B AE1 - JH ER0 Z +BADGES B AE1 - JH IH0 Z +BADGETT B AE1 - JH IH0 T +BADGLEY B AE1 JH - L IY0 +BADIA B AA1 - D IY0 - AH0 +BADILLO B AH0 - D IH1 - L OW0 +BADLAND B AE1 D - L AE2 N D +BADLANDS B AE1 D - L AE2 N D Z +BADLEY B AE1 D - L IY0 +BADLY B AE1 D - L IY0 +BADMAN B AE1 D - M AH0 N +BADMINTON B AE1 D - M IH2 N - T AH0 N +BADMINTONS B AE1 D - M IH2 N - T AH0 N Z +BADNESS B AE1 D - N AH0 S +BADOLATO B AA0 - D OW0 - L AA1 - T OW0 +BADOUR B AH0 - D UH1 R +BADURA B AA0 - D UH1 - R AH0 +BADY B EY1 - D IY0 +BAE B AY1 +BAECHLE B EH1 - K AH0 L +BAECKER B EH1 - K ER0 +BAEDEKER B EY1 - D AH0 - K ER0 +BAEDEKER'S B EY1 - D AH0 - K ER0 Z +BAEHR B IY1 R +BAEHR(2) B EH1 R +BAEK B IY1 K +BAEK(2) B EH1 K +BAER B EH1 R +BAERWALD B EH1 R - W AO0 L D +BAETEN B EH1 - T AH0 N +BAETJER B EH1 T - JH ER0 +BAETZ B IY1 T S +BAEZ B AY0 - EH1 Z +BAEZA B IY1 - Z AH0 +BAFFA B AE1 - F AH0 +BAFFLE B AE1 - F AH0 L +BAFFLED B AE1 - F AH0 L D +BAFFLES B AE1 - F AH0 L Z +BAFFLING B AE1 - F AH0 L - IH0 NG +BAFFLING(2) B AE1 - F L IH0 NG +BAFOKENG B AE1 - F OW0 - K EH2 NG +BAG B AE1 G +BAGAN B EY1 - G AH0 N +BAGBY B AE1 G - B IY0 +BAGDAD B AE1 G - D AE0 D +BAGDASARIAN B AE2 G - D AH0 - S EH1 - R IY0 - AH0 N +BAGDIKIAN B AE2 G - D IH1 - K IY0 - AH0 N +BAGDON B AE1 G - D AH0 N +BAGDONAS B AE1 G - D AH0 - N AH0 Z +BAGEL B EY1 - G AH0 L +BAGELAND B EY1 - G AH0 - L AE0 N D +BAGELS B EY1 - G AH0 L Z +BAGENT B EY1 - JH AH0 N T +BAGFUL B AE1 G - F UH2 L +BAGG B AE1 G +BAGGAGE B AE1 - G AH0 JH +BAGGAGE(2) B AE1 - G IH0 JH +BAGGE B AE1 G +BAGGED B AE1 G D +BAGGERLY B AE1 - G ER0 - L IY0 +BAGGETT B AE1 - G IH0 T +BAGGIE B AE1 - G IY0 +BAGGINESS B AE1 - G IY0 - N AH0 S +BAGGING B AE1 - G IH0 NG +BAGGIO B AA1 - JH IY0 - OW0 +BAGGIO'S B AA1 - JH IY0 - OW0 Z +BAGGOTT B AE1 - G AH0 T +BAGGS B AE1 G Z +BAGGY B AE1 - G IY0 +BAGHDAD B AE1 G - D AE0 D +BAGHDAD'S B AE1 G - D AE0 D Z +BAGHLI B AE1 G - L IY0 +BAGINSKI B AH0 - G IH1 N - S K IY0 +BAGLEY B AE1 G - L IY0 +BAGLIO B AE1 G - L IY0 - OW0 +BAGMAN B AE1 G - M AH0 N +BAGNALL B AE1 G - N AH0 L +BAGNATO B AA0 G - N AA1 - T OW0 +BAGNELL B AE1 G - N AH0 L +BAGPIPE B AE1 G - P AY2 P +BAGPIPER B AE1 G - P AY2 - P ER0 +BAGPIPES B AE1 G - P AY2 P S +BAGS B AE1 G Z +BAGSBY B AE1 G Z - B IY0 +BAGSHAW B AE1 G - SH AO2 +BAGWELL B AE1 - G W EH2 L +BAH B AA1 +BAHA'IS B AA1 - HH AA0 - IH2 Z +BAHAM B AA1 - AH0 M +BAHAMA B AH0 - HH AA1 - M AH0 +BAHAMAS B AH0 - HH AA1 - M AH0 Z +BAHAMIAN B AH0 - HH EY1 - M IY0 - AH0 N +BAHAN B AE1 - HH AH0 N +BAHE B EY1 HH +BAHENA B AE1 - HH IH0 - N AH0 +BAHIA B AA1 - HH IY0 - AH0 +BAHL B AA1 L +BAHLER B AA1 - L ER0 +BAHLS B AA1 L Z +BAHM B AE1 M +BAHMAN B AA1 - M AH0 N +BAHN B AE1 N +BAHNER B AA1 - N ER0 +BAHNSEN B AA1 N - S AH0 N +BAHR B EH1 R +BAHR(2) B AA1 R +BAHRAIN B AA0 - R EY1 N +BAHRAIN'S B AA0 - R EY1 N Z +BAHRAIN'S(2) B AY0 - R EY1 N Z +BAHRAIN(2) B AY0 - R EY1 N +BAHRAINI B ER0 - EY1 - N IY0 +BAHRAINI(2) B AY0 - R AA1 - N IY0 +BAHRAINI(3) B AA0 - R EY1 - N IY0 +BAHRAINIAN B ER0 - EY1 - N IY0 - AH0 N +BAHRAINIAN(2) B AY0 - R AA1 - N IY0 - AH0 N +BAHRAINIAN(3) B AA0 - R EY1 - N IY0 - AH0 N +BAHRAINIS B ER0 - EY1 - N IY0 Z +BAHRE B AA1 R +BAHRENBURG B AA1 - R AH0 N - B ER0 G +BAHT B AA1 T +BAIDOA B AY2 - D OW1 - AH0 +BAIDOA'S B AY2 - D OW1 - AH0 Z +BAIDOAN B AY2 - D OW1 - AH0 N +BAIDOAN'S B AY2 - D OW1 - AH0 N Z +BAIDOANS B AY2 - D OW1 - AH0 N Z +BAIDOAS B AY2 - D OW1 - AH0 Z +BAIE B AY1 - IY0 +BAIER B EY1 - ER0 +BAIG B EY1 G +BAIL B EY1 L +BAILARD B EY1 - L ER0 D +BAILBY B EY1 L - B IY0 +BAILE B EY1 L +BAILED B EY1 L D +BAILER B EY1 - L ER0 +BAILES B EY1 L Z +BAILEY B EY1 - L IY0 +BAILEY'S B EY1 - L IY0 Z +BAILEYS B EY1 - L IY0 Z +BAILIE B EY1 - L IY0 +BAILIFF B EY1 - L AH0 F +BAILIFF(2) B EY1 - L IH0 F +BAILIFFS B EY1 - L AH0 F S +BAILIN B EY1 - L IH0 N +BAILING B EY1 - L IH0 NG +BAILIWICK B EY1 - L IH0 - W IH2 K +BAILLARGEON B AH0 - L AA1 R - JH IH0 N +BAILLIE B EY1 - L IY0 +BAILLY B EY1 - L IY0 +BAILON B EY1 - L AH0 N +BAILOR B EY1 - L ER0 +BAILOUT B EY1 L - AW2 T +BAILOUTS B EY1 L - AW2 T S +BAILS B EY1 L Z +BAILY B EY1 - L IY0 +BAILYN B EY1 - L IH0 N +BAIM B EY1 M +BAIN B EY1 N +BAIN'S B EY1 N Z +BAINBRIDGE B EY1 N - B R IH0 JH +BAINBRIDGE'S B EY1 N - B R IH0 - JH AH0 Z +BAINE B EY1 N +BAINERD B EY1 - N ER0 D +BAINES B EY1 N Z +BAINS B EY1 N Z +BAINTER B EY1 N - T ER0 +BAINTON B EY1 N - T AH0 N +BAIO B AA1 - IY0 - OW0 +BAIR B EH1 R +BAIRD B EH1 R D +BAIRD'S B EH1 R D Z +BAIRNCO B EH1 R N - K OW0 +BAISCH B AY1 SH +BAISDEN B EY1 S - D AH0 N +BAISE B EY1 Z +BAISLEY B EY1 Z - L IY0 +BAIT B EY1 T +BAITED B EY1 - T IH0 D +BAITING B EY1 - T IH0 NG +BAITS B EY1 T S +BAITY B EY1 - T IY0 +BAIUL B AY2 - UW1 L +BAIUL'S B AY2 - UW1 L Z +BAIZE B EY1 Z +BAJA B AA1 - HH AA2 +BAJARIN B AE1 - JH ER0 - IH0 N +BAJEMA B AA0 - Y EY1 - M AH0 +BAJOREK B AE1 - JH ER0 - EH0 K +BAK B AE1 K +BAKA B AA1 - K AH0 +BAKALAR B AE1 - K AH0 - L ER0 +BAKE B EY1 K +BAKE-OFF B EY1 K - AO1 F +BAKE-OFFS B EY1 - K AO1 F S +BAKED B EY1 K T +BAKELMAN B EY1 - K AH0 L - M AH0 N +BAKEMAN B EY1 K - M AH0 N +BAKER B EY1 - K ER0 +BAKER'S B EY1 - K ER0 Z +BAKERIES B EY1 - K ER0 - IY0 Z +BAKERS B EY1 - K ER0 Z +BAKERSFIELD B EY1 - K ER0 Z - F IY2 L D +BAKERY B EY1 - K ER0 - IY0 +BAKES B EY1 K S +BAKEWARE B EY1 K - W EH2 R +BAKEWELL B EY1 - K W EH2 L +BAKEY B EY1 - K IY0 +BAKEY'S B EY1 - K IY0 Z +BAKING B EY1 - K IH0 NG +BAKKE B AE1 K +BAKKEN B AE1 - K AH0 N +BAKKER B AE1 - K ER0 +BAKKER'S B AE1 - K ER0 Z +BAKKER'S(2) B EY1 - K ER0 Z +BAKKER(2) B EY1 - K ER0 +BAKKERS B AE1 - K ER0 Z +BAKKERS(2) B EY1 - K ER0 Z +BAKLEY B AE1 K - L IY0 +BAKOS B AA1 - K OW0 Z +BAKOWSKI B AH0 - K AO1 F S - K IY0 +BAKRIE B AE1 K - R AY0 +BAKSHI B AE1 K - SH IY0 +BAKST B AE1 K S T +BAKU B AA0 - K UW1 +BAKULA B AH0 - K UW1 - L AH0 +BAL B AE1 L +BALA B AA1 - L AH0 +BALABAN B AA0 - L AA0 - B AA1 N +BALAGUER B AE1 - L AH0 - G ER0 +BALAKUMAR B AA2 - L AH0 - K UW0 - M AA1 R +BALAN B EY1 - L AH0 N +BALANCE B AE1 - L AH0 N S +BALANCED B AE1 - L AH0 N S T +BALANCER B AE1 - L AH0 N - S ER0 +BALANCES B AE1 - L AH0 N - S AH0 Z +BALANCES(2) B AE1 - L AH0 N - S IH0 Z +BALANCHINE B AE1 - L AH0 N - CH IY2 N +BALANCHINE'S B AE1 - L AH0 N - CH IY2 N Z +BALANCING B AE1 - L AH0 N - S IH0 NG +BALART B AE1 - L AA0 R T +BALAS B AE1 - L AH0 S +BALASH B AE1 - L AH0 SH +BALATA B AE1 - L AH0 - T AH0 +BALAZS B AO1 - L AH0 SH +BALBACH B AE1 L - B AA0 K +BALBI B AE1 L - B IY0 +BALBINA B AA0 L - B IY1 - N AH0 +BALBO B AE1 L - B OW0 +BALBOA B AA0 L - B OW1 - AH0 +BALBONI B AA0 L - B OW1 - N IY0 +BALBRIGGAN B AE0 L - B R IH1 - G AH0 N +BALBRIGGANS B AE0 L - B R IH1 - G AH0 N Z +BALCER B EY1 L - S ER0 +BALCEROWICZ B AE0 L - S EH1 - R AH0 - W IH0 T S +BALCERZAK B AH0 L - CH ER1 - Z AH0 K +BALCH B AE1 L CH +BALCHUNAS B AE1 L - K UW0 - N AH0 Z +BALCOM B AE1 L - K AH0 M +BALCONIES B AE1 L - K AH0 - N IY0 Z +BALCONY B AE1 L - K AH0 - N IY0 +BALCOR B AE1 L - K AO0 R +BALD B AO1 L D +BALDASSARE B AA0 L - D AA0 - S AA1 - R IY0 +BALDASSARI B AA0 L - D AA0 - S AA1 - R IY0 +BALDASSARRE B AO0 L - D AH0 - S AA1 - R IY0 +BALDAUF B AE1 L - D AW0 F +BALDELLI B AA0 L - D EH1 - L IY0 +BALDEMAR B AA0 L - D EY0 - M AA1 R +BALDER B AO1 L - D ER0 +BALDERAS B AE1 L - D ER0 - AH0 Z +BALDERDASH B AO1 L - D ER0 - D AE2 SH +BALDERRAMA B AA0 L - D EH0 - R AA1 - M AH0 +BALDERSON B AE1 L - D ER0 - S AH0 N +BALDERSTON B AE1 L - D ER0 - S T AH0 N +BALDEZ B AA2 L - D EH1 Z +BALDI B AA1 L - D IY0 +BALDING B AO1 L - D IH0 NG +BALDINGER B AO1 L - D IH0 - NG ER0 +BALDINI B AA0 L - D IY1 - N IY0 +BALDINI'S B AA0 L - D IY1 - N IY0 Z +BALDINO B AA0 L - D IY1 - N OW0 +BALDLY B AO1 L D - L IY0 +BALDNER B AE1 L D - N ER0 +BALDNESS B AO1 L D - N AH0 S +BALDO B AA1 L - D OW0 +BALDOCK B AE1 L - D AH0 K +BALDONADO B AA0 L - D OW0 - N AA1 - D OW0 +BALDONI B AA0 L - D OW1 - N IY0 +BALDOR B AO1 L - D ER0 +BALDREE B AH0 L - D R IY1 +BALDRIC B AE1 L - D R IH0 K +BALDRIDGE B AE1 L - D R IH0 JH +BALDRIGE B AO1 L - D R IH0 JH +BALDRY B AO1 L - D R IY0 +BALDUCCI B AA0 L - D UW1 - CH IY0 +BALDUR B AA0 L - D UH1 R +BALDUS B AA1 L - D IH0 S +BALDWIN B AO1 L D - W AH0 N +BALDWIN'S B AO1 L D - W AH0 N Z +BALDWIN(2) B AO1 L D - W IH0 N +BALDYGA B AA1 L - D IY0 - G AH0 +BALE B EY1 L +BALEEN B AH0 - L IY1 N +BALEFUL B EY1 L - F AH0 L +BALENTINE B AA0 - L EH0 N - T IY1 - N IY0 +BALES B EY1 L Z +BALESTRA B AH0 - L EH1 S - T R AH0 +BALESTRIERI B AA0 - L EH0 - S T R IH1 - R IY0 +BALEY B EY1 - L IY0 +BALFANZ B AA1 L - F AA0 N Z +BALFE B EY1 L F +BALFOUR B AE1 L - F AO0 R +BALI B AA1 - L IY0 +BALIAN B EY1 - L IY0 - AH0 N +BALICKI B AH0 - L IH1 - K IY0 +BALIK B AA1 - L IH0 K +BALILAN B AH0 - L IH1 - L AH0 N +BALILES B AH0 - L IY1 - L EH0 Z +BALIN B AE1 - L IH0 N +BALINESE B AE2 - L IH0 - N IY1 Z +BALING B EY1 - L IH0 NG +BALINSKI B AH0 - L IH1 N - S K IY0 +BALINT B AA1 - L IY0 N T +BALIS B AA1 - L IY0 Z +BALISTRERI B AA0 - L IY0 - S T R EH1 - R IY0 +BALK B AO1 K +BALK(2) B AA1 L K +BALKAN B AO1 L - K AH0 N +BALKANIZATION B AO2 L - K AH0 - N IH0 - Z EY1 - SH AH0 N +BALKANIZE B AO1 L - K AH0 - N AY2 Z +BALKANIZED B AO1 L - K AH0 - N AY2 Z D +BALKANS B AO1 L - K AH0 N Z +BALKCOM B AE1 L - K AH0 M +BALKE B EY1 L K +BALKED B AO1 K T +BALKIN B AE1 L - K IH0 N +BALKING B AO1 - K IH0 NG +BALKO B AE1 L - K OW0 +BALKS B AO1 K S +BALKY B AO1 - K IY0 +BALL B AO1 L +BALL'S B AO1 L Z +BALLA B AE1 - L AH0 +BALLAD B AE1 - L AH0 D +BALLADE B AH0 - L AA1 D +BALLADS B AE1 - L AH0 D Z +BALLADUR B AE1 - L AH0 - D ER0 +BALLADUR'S B AE1 - L AH0 - D ER0 Z +BALLANCE B AA1 - L AH0 N S +BALLANTINE B AE1 - L AH0 N - T AY2 N +BALLANTRAE B AE1 - L AH0 N - T R EY2 +BALLANTYNE B AH0 - L AE1 N - T AY0 N +BALLARD B AE1 - L ER0 D +BALLARD'S B AE1 - L ER0 D Z +BALLAS B AE1 - L AH0 Z +BALLAST B AE1 - L AH0 S T +BALLASTS B AE1 - L AH0 S T S +BALLASTS(2) B AE1 - L AH0 S S +BALLASTS(3) B AE1 - L AH0 S +BALLCLUB B AO1 L - K L AH0 B +BALLCOCK B AO1 L - K AA1 K +BALLCOCKS B AO1 L - K AA1 K S +BALLE B EY1 L +BALLED B AO1 L D +BALLENGEE B AH0 - L EH1 NG - G IY0 +BALLENGER B AE1 - L IH0 N - JH ER0 +BALLENTINE B AA0 - L EH0 N - T IY1 - N IY0 +BALLER B AO1 - L ER0 +BALLERINA B AE2 - L ER0 - IY1 - N AH0 +BALLERINAS B AE2 - L ER0 - IY1 - N AH0 Z +BALLES B EY1 L Z +BALLESTER B AE1 - L IH0 - S T ER0 +BALLESTEROS B AE1 - L IH0 - S T ER0 - OW0 Z +BALLESTEROS(2) B AH0 - L EH1 - S T ER0 - OW0 S +BALLET B AE0 - L EY1 +BALLET'S B AE0 - L EY1 Z +BALLETS B AE0 - L EY1 Z +BALLETTO B AE2 - L EH1 - T OW0 +BALLEW B AE1 - L UW0 +BALLGAME B AO0 L - G EY1 M +BALLI B AE1 - L IY0 +BALLIET B AE1 - L IY0 - IH0 T +BALLIETT B AE1 - L IY2 T +BALLIN B AE1 - L IH0 N +BALLING B AO1 - L IH0 NG +BALLINGER B AO1 - L IH2 N - JH ER0 +BALLISTIC B AH0 - L IH1 - S T IH0 K +BALLISTICS B AH0 - L IH1 - S T IH0 K S +BALLMAN B AO1 L - M AH0 N +BALLMER B AE1 L - M ER0 +BALLO B AE1 - L OW0 +BALLON B AE1 - L AH0 N +BALLOON B AH0 - L UW1 N +BALLOONED B AH0 - L UW1 N D +BALLOONING B AH0 - L UW1 - N IH0 NG +BALLOONIST B AH0 - L UW1 - N IH0 S T +BALLOONISTS B AH0 - L UW1 - N IH0 S T S +BALLOONS B AH0 - L UW1 N Z +BALLOR B AO1 - L ER0 +BALLOT B AE1 - L AH0 T +BALLOTING B AE1 - L AH0 - T IH0 NG +BALLOTS B AE1 - L AH0 T S +BALLOU B AH0 - L UW1 +BALLOW B AE1 - L OW0 +BALLOWE B AE1 - L AW0 +BALLPARK B AO1 L - P AA2 R K +BALLPARKS B AO1 L - P AA2 R K S +BALLPLAYER B AO1 L - P L EY2 - ER0 +BALLPLAYERS B AO0 L - P L EY1 - ER0 Z +BALLPOINT B AO1 L - P OY0 N T +BALLPOINTS B AO1 L - P OY0 N T S +BALLROOM B AO1 L - R UW2 M +BALLROOMS B AO1 L - R UW2 M Z +BALLS B AO1 L Z +BALLWEG B AE1 L - W IH0 G +BALLY B AE1 - L IY0 +BALLY'S B AE1 - L IY0 Z +BALLY'S(2) B EY1 - L IY0 Z +BALLY(2) B EY1 - L IY0 +BALLYHOO B AE1 - L IY0 - HH UW1 +BALLYHOOED B AE1 - L IY0 - HH UW1 D +BALM B AA1 M +BALM(2) B AA1 L M +BALMER B AA1 - M ER0 +BALMES B AA1 L - M EH0 S +BALMORAL B AE0 L - M AO1 - R AH0 L +BALMORALS B AE0 L - M AO1 - R AH0 L Z +BALMS B AA1 M Z +BALMS(2) B AA1 L M Z +BALMY B AA1 - M IY0 +BALODIA B AH0 - L OW1 - D IY0 - AH0 +BALOG B AE1 - L AO0 G +BALOGA B AA0 - L OW1 - G AH0 +BALOGH B AE1 - L OW0 +BALON B AA0 - L AO1 N +BALONEY B AH0 - L OW1 - N IY0 +BALOW B AE1 - L OW0 +BALSA B AO1 L - S AH0 +BALSAM B AO1 L - S AH0 M +BALSAMO B AA0 L - S AA1 - M OW0 +BALSBAUGH B AO1 L Z - B AO2 +BALSER B EY1 L - S ER0 +BALSIGER B AE1 L - S IH0 - G ER0 +BALSLEY B AE1 L S - L IY0 +BALSTER B AE1 L - S T ER0 +BALT'S B AO1 L T S +BALTAZAR B AA0 L - T AA0 - Z AA1 R +BALTER B AO1 L - T ER0 +BALTES B EY1 L T S +BALTHASAR B AE1 L - TH AH0 - S ER0 +BALTHASER B AE1 L - TH AH0 - S ER0 +BALTHAZAR B AE1 L - TH AH0 - Z ER0 +BALTHAZOR B AA0 L - TH AA0 - Z AO1 R +BALTHROP B AE1 L - TH R AH0 P +BALTIC B AO1 L - T IH0 K +BALTICA B AE1 L - T IH0 - K AH0 +BALTICS B AO1 L - T IH0 K S +BALTIERRA B AA0 L - T IH1 - R AH0 +BALTIMORE B AO1 L - T AH0 - M AO2 R +BALTIMORE'S B AO1 L - T AH0 - M AO2 R Z +BALTO B AA1 L - T OW0 +BALTODANO B AO2 L - T OW0 - D AA1 - N OW0 +BALTSA B AO1 L T - S AH0 +BALTZ B AE1 L T S +BALTZELL B AE1 L T - Z AH0 L +BALTZER B AE1 L T - Z ER0 +BALUCHI B AH0 - L UW1 - CH IY0 +BALUJA B AH0 - L UW1 - JH AH0 +BALUKAS B AH0 - L UW1 - K AH0 Z +BALYEAT B AE2 - L IY0 - AE1 T +BALZ B AO1 L Z +BALZANO B AA0 L - Z AA1 - N OW0 +BALZARINI B AA0 L - Z AA0 - R IY1 - N IY0 +BALZER B EY1 L - Z ER0 +BAM B AE1 M +BAMBA B AE1 M - B AH0 +BAMBACH B AE1 M - B AA2 K +BAMBENEK B AE0 M - B EH1 - N EH0 K +BAMBER B AE1 M - B ER0 +BAMBERG B AE1 M - B ER0 G +BAMBERGER B AE1 M - B ER0 - G ER0 +BAMBI B AE1 M - B IY0 +BAMBINO B AE2 M - B IY1 - N OW0 +BAMBINOS B AE2 M - B IY1 - N OW0 Z +BAMBOO B AE0 M - B UW1 +BAMBRICK B AE1 M - B R IH0 K +BAMBURG B AE1 M - B ER0 G +BAME B EY1 M +BAMFORD B AE1 M - F ER0 D +BAMUT B AE1 - M AH0 T +BAN B AE1 N +BANACCI B AH0 - N AA1 - CH IY0 +BANACH B AE1 - N AH0 K +BANAL B AH0 - N AA1 L +BANALITIES B AH0 - N AE1 - L IH0 - T IY0 Z +BANALITY B AH0 - N AE1 - L IH0 - T IY0 +BANAMEX B AE1 - N AH0 - M EH2 K S +BANANA B AH0 - N AE1 - N AH0 +BANANAS B AH0 - N AE1 - N AH0 Z +BANAS B AE1 - N AH0 Z +BANASIAK B AH0 - N AA1 - S IY0 - AE0 K +BANASZAK B AH0 - N AA1 - SH AH0 K +BANBURY B AE1 N - B EH2 - R IY0 +BANC B AE1 NG K +BANCA B AE1 NG - K AH0 +BANCA(2) B AA1 NG - K AH0 +BANCAIRE B AE0 N - K EH1 R +BANCARIO B AE0 N - K EH1 - R IY0 - OW0 +BANCO B AE1 NG - K OW0 +BANCOKLAHOMA B AE0 NG - K AA2 K - L AH0 - HH OW1 - M AH0 +BANCOMER B AE1 NG - K AH0 - M ER0 +BANCOR B AE1 N - K AO2 R +BANCORP B AE1 NG - K AO0 R P +BANCORP'S B AE1 NG - K AO0 R P S +BANCORP'S(2) B AE1 N - K AO0 R P S +BANCORP(2) B AE1 N - K AO0 R P +BANCORPORATION B AE1 N - K AO2 R - P ER0 - EY0 - SH AH0 N +BANCROFT B AE1 NG - K R AO0 F T +BANCROFT'S B AE1 N - K R AO2 F T S +BANCSERVE B AE1 N K - S ER0 V +BANCSHARES B AE1 NG K - SH EH0 R Z +BANCSHARES' B AE0 NG K - SH EH1 R Z +BANCTEC B AE1 NG K - T EH2 K +BANCTEXAS B AE0 NG K - T EH1 K - S AH0 S +BAND B AE1 N D +BAND'S B AE1 N D Z +BANDA B AE1 N - D AH0 +BANDAG B AE1 N - D AE2 G +BANDAGE B AE1 N - D IH0 JH +BANDAGED B AE1 N - D AH0 JH D +BANDAGES B AE1 N - D AH0 - JH AH0 Z +BANDAGES(2) B AE1 N - D IH0 - JH IH0 Z +BANDAI B AE2 N - D AY1 +BANDAID B AE1 N - D EY0 D +BANDANA B AE2 N - D AE1 - N AH0 +BANDANAS B AE2 N - D AE1 - N AH0 Z +BANDAR B AE1 N - D AA0 R +BANDED B AE1 N - D IH0 D +BANDEL B AE1 N - D AH0 L +BANDEMER B AE1 N - D IY0 - M ER0 +BANDER B AE1 N - D ER0 +BANDERAS B AE0 N - D ER1 - AH0 S +BANDERAS(2) B AA0 N - D ER0 - AH1 S +BANDICOOTS B AE1 N - D IH0 - K UW2 T S +BANDICOOTS(2) B AE1 N - D IY0 - K UW2 T S +BANDIED B AE1 N - D IY0 D +BANDING B AE1 N - D IH0 NG +BANDIT B AE1 N - D AH0 T +BANDITRY B AE1 N - D AH0 - T R IY0 +BANDITS B AE1 N - D AH0 T S +BANDLEADER B AE1 N D - L IY0 - D ER0 +BANDLEADERS B AE1 N D - L IY0 - D ER0 Z +BANDOLIER B AE2 N - D AH0 - L IH1 R +BANDOLIERS B AE2 N - D AH0 - L IH1 R Z +BANDOW B AE1 N - D AW2 +BANDOW'S B AE1 N - D AW2 Z +BANDS B AE1 N D Z +BANDSHELL B AE0 N D - SH EH1 L +BANDSTAND B AE1 N D - S T AE2 N D +BANDT B AE1 N T +BANDUCCI B AA0 N - D UW1 - CH IY0 +BANDWAGON B AE1 N D - W AE2 - G AH0 N +BANDWIDTH B AE1 N D - W IH0 D TH +BANDY B AE1 N - D IY0 +BANE B EY1 N +BANEGAS B AE1 - N IH0 - G AH0 Z +BANERJEE B AH0 - N ER1 - JH IY0 +BANES B EY1 N Z +BANESTO B AH0 - N EH1 - S T OW0 +BANESTO'S B AH0 - N EH1 - S T OW0 Z +BANET B AE1 - N IH0 T +BANEY B EY1 - N IY0 +BANFF B AE1 N F +BANFIELD B AE1 N - F IY2 L D +BANFORD B AE1 N - F ER0 D +BANG B AE1 NG +BANGALORE B AE1 NG - G AH0 - L AO2 R +BANGALORE'S B AE1 NG - G AH0 - L AO2 R Z +BANGE B AE1 N JH +BANGED B AE1 NG D +BANGEE B AE1 N - JH IY0 +BANGEMANN B AE1 NG - G AH0 - M AH0 N +BANGER B AE1 - NG ER0 +BANGERS B AE1 - NG ER0 Z +BANGERT B EY1 NG - G ER0 T +BANGERTER B EY1 NG - G ER0 - T ER0 +BANGHART B AE1 NG - HH AA2 R T +BANGING B AE1 - NG IH0 NG +BANGISH B AE1 - NG IH0 SH +BANGKOK B AE0 NG - K AA1 K +BANGKOK'S B AE1 NG - K AA0 K S +BANGKOK(2) B AE1 NG - K AA0 K +BANGLADESH B AE1 NG - L AH0 - D EH2 SH +BANGLADESH'S B AE1 NG - L AH0 - D EH2 - SH IH0 Z +BANGLADESHI B AE1 NG - L AH0 - D EH2 - SH IY0 +BANGLADESHI'S B AE1 NG - L AH0 - D EH2 - SH IY0 Z +BANGLADESHIS B AE1 NG - L AH0 - D EH2 - SH IY0 Z +BANGLE B AE1 NG - G AH0 L +BANGO B AA1 NG - G OW0 +BANGOR B AE1 NG - G ER0 +BANGOR(2) B AE1 NG - G AO2 R +BANGS B AE1 NG Z +BANH B AE1 N +BANIA B AA1 - N IY0 - AH0 +BANICK B AE1 - N IH0 K +BANIK B AE1 - N IH0 K +BANIS B AE1 - N IH0 S +BANISH B AE1 - N IH0 SH +BANISHED B AE1 - N IH0 SH T +BANISHING B AE1 - N IH0 - SH IH0 NG +BANISHMENT B AE1 - N IH0 SH - M AH0 N T +BANISTER B AE1 - N IH0 - S T ER0 +BANJA B AA1 - N Y AH0 +BANJO B AE1 N - JH OW2 +BANK B AE1 NG K +BANK'S B AE1 NG K S +BANKABLE B AE1 NG - K AH0 - B AH0 L +BANKAMERICA B AE2 NG - K AH0 - M EH1 - R IH0 - K AH0 +BANKAMERICA'S B AE2 NG - K AH0 - M EH1 - R IH0 - K AH0 Z +BANKATLANTIC B AE2 NG K - AH0 T - L AE1 N - T IH0 K +BANKCARD B AE1 NG - K AA2 R D +BANKCORP B AE1 NG - K AO2 R P +BANKE B AE1 NG K +BANKEAST B AE2 NG - K IY1 S T +BANKED B AE1 NG K T +BANKEN B AE1 NG - K AH0 N +BANKER B AE1 NG - K ER0 +BANKER'S B AE1 NG - K ER0 Z +BANKERS B AE1 NG - K ER0 Z +BANKERS' B AE1 NG - K ER0 Z +BANKERT B AE1 NG - K ER0 T +BANKES B AE1 NG K S +BANKEY B AE1 N - K IY2 +BANKHEAD B AE1 NG K - HH EH2 D +BANKHOLDING B AE1 NG K - HH OW2 L - D IH0 NG +BANKING B AE1 NG - K IH0 NG +BANKING'S B AE1 NG - K IH0 NG Z +BANKNOTE B AE1 NG K - N OW2 T +BANKNOTES B AE1 NG K - N OW2 T S +BANKO B AE1 NG - K OW0 +BANKOWSKI B AH0 NG - K AO1 F S - K IY0 +BANKROLL B AE1 NG K - R OW2 L +BANKROLLED B AE1 NG K - R OW2 L D +BANKROLLING B AE1 NG K - R OW2 - L IH0 NG +BANKROLLS B AE1 NG K - R OW2 L Z +BANKRUPCTY B AE1 NG - K R AH0 P T - S IY0 +BANKRUPT B AE1 NG - K R AH0 P T +BANKRUPTCIES B AE1 NG - K R AH0 P T - S IY0 Z +BANKRUPTCY B AE1 NG - K R AH0 P - S IY0 +BANKRUPTCY'S B AE1 NG - K R AH0 P - S IY0 Z +BANKRUPTCY(2) B AE1 NG - K R AH0 P T - S IY0 +BANKRUPTED B AE1 NG - K R AH0 P - T IH0 D +BANKRUPTING B AE1 NG - K R AH2 P - T IH0 NG +BANKS B AE1 NG K S +BANKS' B AE1 NG K S +BANKS'S B AE1 NG K - S IH0 Z +BANKSHARE B AE1 NG K - SH EH2 R +BANKSHARES B AE1 NG K - SH EH2 R Z +BANKSON B AE1 NG K - S AH0 N +BANKSTON B AE1 NG K - S T AH0 N +BANKVEREIN B AE1 NG K - V ER0 - AY2 N +BANKVERMONT B AE1 NG K - V ER0 - M AA1 N T +BANKWORCESTER B AE1 NG K - W ER1 - CH EH2 - S T ER0 +BANKWORCESTER(2) B AE1 NG - K W UW1 - S T ER0 +BANN B AE1 N +BANNAN B AE1 - N AH0 N +BANNED B AE1 N D +BANNER B AE1 - N ER0 +BANNER'S B AE1 - N ER0 Z +BANNERMAN B AE1 - N ER0 - M AH0 N +BANNERS B AE1 - N ER0 Z +BANNICK B AE1 - N IH0 K +BANNING B AE1 - N IH0 NG +BANNINGS B AE1 - N IH0 NG Z +BANNISTER B AE1 - N AH0 - S T ER0 +BANNISTER(2) B AE1 - N IH0 - S T ER0 +BANNON B AE1 - N AH0 N +BANOS B AA1 - N OW0 Z +BANOUN B AH0 - N UW1 N +BANPAIS B AE2 N - P EY1 +BANPONCE B AE1 N - P AA0 N S +BANQUE B AE1 NG K +BANQUET B AE1 NG - K W AH0 T +BANQUETS B AE1 NG - K W AH0 T S +BANQUO'S B AE1 NG - K W OW0 Z +BANS B AE1 N Z +BANSAL B AA0 N - S AE1 L +BANSHEE B AE0 N - SH IY1 +BANSHEE(2) B AE1 N - SH IY0 +BANTA B AE1 N - T AH0 +BANTAM B AE1 N - T AH0 M +BANTAM'S B AE1 N - T AH0 M Z +BANTAMS B AE1 N - T AH0 M Z +BANTER B AE1 N - T ER0 +BANTERED B AE1 N - T ER0 D +BANTERING B AE1 N - T ER0 - IH0 NG +BANTLE B AE1 N - T AH0 L +BANTON B AE1 N - T AH0 N +BANTU B AE1 N - T UW0 +BANTZ B AE1 N T S +BANUELOS B AA0 N - W EH1 - L OW0 Z +BANVILLE B AA1 N - V IH0 L +BANWART B AE1 N - W AO2 R T +BANXQUOTE B AE0 NG K - S K W OW1 T +BANYA B AA1 - N Y AH0 +BANYA(2) B AE1 - N Y AH0 +BANYALUCA B AE1 - N Y AH0 - L UW2 - K AH0 +BANYAN B AE1 - N Y AH0 N +BANYAS B AA1 - N Y AH0 Z +BANYAS(2) B AE1 - N Y AH0 Z +BANYU B AA1 - N UW0 +BANZHAF B AE1 N Z - HH AH0 F +BAO B AW1 +BAOGUANG B EY1 - OW0 - G W AE2 NG +BAPLEY B AE1 P - L IY0 +BAPNA B AA1 P - N AH0 +BAPTISM B AE1 P - T IH0 - Z AH0 M +BAPTISMAL B AE0 P - T IH1 Z - M AH0 L +BAPTISMS B AE1 P - T IH2 - Z AH0 M Z +BAPTIST B AE1 P - T AH0 S T +BAPTIST(2) B AE1 P - T IH0 S T +BAPTISTA B AE2 P - T IH1 - S T AH0 +BAPTISTE B AH0 P - T IH1 S T +BAPTISTERY B AE1 P - T AH0 S - T R IY0 +BAPTISTS B AE1 P - T AH0 S T S +BAPTISTS(2) B AE1 P - T AH0 S S +BAPTIZE B AE0 P - T AY1 Z +BAPTIZED B AE0 P - T AY1 Z D +BAPTIZED(2) B AE1 P - T AY2 Z D +BAR B AA1 R +BAR'S B AA1 R Z +BAR-MITZVAH B AA1 R - M IH1 T - S V AH0 +BARA B AA1 - R AH0 +BARABAR B EH1 - R AH0 - B AA0 R +BARACH B AH0 - R AA1 K +BARACH(2) B ER0 - AA1 K +BARAFF B AA0 - R AA1 F +BARAHONA B AE2 - R AH0 - HH OW1 - N AH0 +BARAJAS B AA0 - R AA1 - Y AA0 Z +BARAK B AA1 - R AH0 K +BARAKAT B AA1 - R AH0 - K AA2 T +BARAM B EH1 - R AE0 M +BARAN B AA0 - R AA1 N +BARANEK B AE1 - R AH0 - N IH0 K +BARANOSKI B ER0 - AH0 - N AW1 S - K IY0 +BARANOWSKI B ER0 - AH0 - N AO1 F S - K IY0 +BARANSKI B ER0 - AE1 N S - K IY0 +BARANY B ER0 - AO1 - N IY0 +BARASCH B AE1 - R AH0 SH +BARASH B AE1 - R AH0 SH +BARATH B AE1 - R AH0 TH +BARATTA B AA0 - R AA1 - T AH0 +BARB B AA1 R B +BARB'S B AA1 R B Z +BARBA B AA1 R - B AH0 +BARBADOS B AA0 R - B EY1 - D OW0 S +BARBAGALLO B AA2 R - B AH0 - G AE1 - L OW0 +BARBAKOW B AA1 R - B AH0 - K AW2 +BARBANEL B AA1 R - B AH0 - N AH0 L +BARBANO B AA0 R - B AA1 - N OW0 +BARBARA B AA1 R - B ER0 - AH0 +BARBARA'S B AA1 R - B ER0 - AH0 Z +BARBARA(2) B AA1 R - B R AH0 +BARBAREE B AA1 R - B ER0 - IY1 +BARBARIAN B AA0 R - B EH1 - R IY0 - AH0 N +BARBARIANS B AA0 R - B EH1 - R IY0 - AH0 N Z +BARBARIC B AA0 R - B AE1 - R IH0 K +BARBARIC(2) B AA0 R - B EH1 - R IH0 K +BARBARINO B AA0 R - B AA0 - R IY1 - N OW0 +BARBARISM B AA1 R - B ER0 - IH2 - Z AH0 M +BARBARITY B AA0 R - B AE1 - R AH0 - T IY0 +BARBARITY(2) B AA0 R - B EH1 - R AH0 - T IY0 +BARBARO B AA0 R - B AA1 - R OW0 +BARBAROUS B AA1 R - B ER0 - AH0 S +BARBARY B AA1 R - B ER0 - IY0 +BARBASH B AA1 R - B AE2 SH +BARBATO B AA0 R - B AA1 - T OW0 +BARBE B AA1 R B +BARBEAU B AA0 R - B OW1 +BARBECUE B AA1 R - B IH0 - K Y UW2 +BARBECUE'S B AA1 R - B IH0 - K Y UW2 Z +BARBECUED B AA1 R - B IH0 - K Y UW2 D +BARBECUEING B AA1 R - B IH0 - K Y UW2 - IH0 NG +BARBECUES B AA1 R - B IH0 - K Y UW2 Z +BARBED B AA1 R B D +BARBEE B AA1 R - B IY1 +BARBELL B AA1 R - B EH2 L +BARBELLA B AA2 R - B EH1 - L AH0 +BARBELLS B AA1 R - B EH2 L Z +BARBELS B AA1 R - B AH0 L Z +BARBEQUE B AA1 R - B IH0 - K Y UW2 +BARBEQUED B AA1 R - B IH0 - K Y UW2 D +BARBEQUEING B AA1 R - B IH0 - K Y UW2 - IH0 NG +BARBEQUES B AA1 R - B IH0 - K Y UW2 Z +BARBER B AA1 R - B ER0 +BARBER'S B AA1 R - B ER0 Z +BARBERA B AA0 R - B EH1 - R AH0 +BARBERI B AA0 R - B EH1 - R IY0 +BARBERIO B AA2 R - B IY1 - R IY0 - OW0 +BARBERIS B AA1 R - B ER0 - IH0 S +BARBERO B AA0 R - B EH1 - R OW0 +BARBERS B AA1 R - B ER0 Z +BARBERSHOP B AA1 R - B ER0 - SH AA2 P +BARBETTE B AA0 R - B EH1 T +BARBIAN B AA1 R - B IY0 - AH0 N +BARBIE B AA1 R - B IY0 +BARBIE'S B AA1 R - B IY0 Z +BARBIER B AA1 R - B IY0 - ER0 +BARBIERI B AA0 R - B IH1 - R IY0 +BARBIERI'S B AA0 R - B IH1 - R IY0 Z +BARBIES B AA1 R - B IY0 Z +BARBIN B AA1 R - B IH0 N +BARBITURATE B AA0 R - B IH1 - CH ER0 - AH0 T +BARBITURATES B AA0 R - B IH1 - CH ER0 - AH0 T S +BARBO B AA1 R - B OW0 +BARBONE B AA1 R - B OW2 N +BARBOSA B AA0 R - B OW1 - S AH0 +BARBOUR B AA1 R - B ER0 +BARBOUR'S B AA1 R - B ER0 Z +BARBOZA B AA0 R - B OW1 - Z AH0 +BARBRA B AA1 R - B R AH0 +BARBRE B AA1 R - B ER0 +BARBS B AA1 R B Z +BARBY B AA1 R - B IY0 +BARCA B AA1 R - K AH0 +BARCELLA B AA2 R - S EH1 - L AH0 +BARCELLOS B AA0 R - S EH1 - L OW0 Z +BARCELO B AA0 R - CH EH1 - L OW0 +BARCELONA B AA2 R - S IH0 - L OW1 - N AH0 +BARCENAS B AA1 R - S IH0 - N AH0 Z +BARCH B AA1 R K +BARCHEFSKY B AA0 - CH EH1 F S - K IY0 +BARCIA B AA1 R - CH AH0 +BARCLAY B AA1 R K - L EY2 +BARCLAY'S B AA1 R - K L IY0 Z +BARCLAY'S(2) B AA1 R K - L EY0 Z +BARCLAY(2) B AA1 R K - L IY2 +BARCLAYS B AA1 R - K L IY0 Z +BARCLAYS' B AA1 R - K L IY0 Z +BARCLAYS'(2) B AA1 R K - L EY0 Z +BARCLAYS'S B AA1 R - K L IY2 - Z IH0 Z +BARCLAYS'S(2) B AA1 R - K L EY2 - Z IH0 Z +BARCLAYS(2) B AA1 R K - L EY0 Z +BARCLIFT B AA1 R K - L IH0 F T +BARCO B AA1 R - K OW0 +BARCO'S B AA1 R - K OW0 Z +BARCOMB B AA1 R - K AH0 M +BARCROFT B AA1 R - K R AO2 F T +BARCUS B AA1 R - K AH0 S +BARCZAK B AA1 R - CH AE0 K +BARD B AA1 R D +BARD'S B AA1 R D Z +BARDELL B AA0 R - D EH1 L +BARDEN B AA1 R - D AH0 N +BARDERA B AA2 R - D EH1 - R AH0 +BARDIN B AA1 R - D IH0 N +BARDO B AA1 R - D OW0 +BARDOLF B AA1 R - D OW2 L F +BARDOLPH B AA1 R - D AA0 L F +BARDON B AA0 R - D AO1 N +BARDRICK B AA1 R - D R IH0 K +BARDSLEY B AA1 R D S - L IY0 +BARDULF B AA1 R - D AH0 L F +BARDULPH B AA1 R - D AH0 L F +BARDWELL B AA1 R D - W EH2 L +BARE B EH1 R +BARED B EH1 R D +BAREFIELD B AE1 - R IH0 F - IY0 L D +BAREFIELD(2) B AE1 R - F IY0 L D +BAREFOOT B EH1 R - F UH2 T +BAREIS B AE1 - R AY0 Z +BARELA B AA0 - R EH1 - L AH0 +BARELY B EH1 R - L IY0 +BARENBOIM B EH1 - R AH0 N - B OY2 M +BARENBOIM'S B EH1 - R AH0 N - B OY2 M Z +BARENS B EH1 - R AH0 N Z +BARENTINE B AA0 - R EH0 N - T IY1 - N IY0 +BARENTINE(2) B EH1 - R AH0 N - T IY1 N +BARENTINE(3) B EH1 - R AH0 N - T AY1 N +BARENTS B EH1 - R AH0 N T S +BARES B EH1 R Z +BAREST B EH1 - R AH0 S T +BAREY B EH1 - R IY0 +BARFIELD B AA1 R - F IY2 L D +BARFKNECHT B AA1 R F - K AH0 - N EH0 K T +BARFKNECHT(2) B AA1 R F - N EH0 K T +BARFOOT B AA1 R - F UH2 T +BARFUSS B AA1 R - F AH2 S +BARG B AA1 R G +BARGA B AA1 R - G AH0 +BARGAIN B AA1 R - G AH0 N +BARGAIN(2) B AA1 R - G IH0 N +BARGAINED B AA1 R - G AH0 N D +BARGAINER B AA1 R - G IH0 - N ER0 +BARGAINERS B AA1 R - G IH0 - N ER0 Z +BARGAINING B AA1 R - G IH0 - N IH0 NG +BARGAINS B AA1 R - G AH0 N Z +BARGAINS(2) B AA1 R - G IH0 N Z +BARGANIER B AA1 R - G AH0 - N IY0 - ER0 +BARGAR B AA0 R - G AA1 R +BARGAS B AA1 R - G AH0 Z +BARGE B AA1 R JH +BARGED B AA1 R JH D +BARGER B AA1 R - JH ER0 +BARGERON B AA1 R - G ER0 - AH0 N +BARGES B AA1 R - JH AH0 Z +BARGES(2) B AA1 R - JH IH0 Z +BARGMAN B AA1 R G - M AH0 N +BARGMANN B AA1 R G - M AH0 N +BARGO B AA1 R - G OW2 +BARHORST B AA1 R - HH AO0 R S T +BARI B AA1 - R IY0 +BARI'S B AA1 - R IY0 Z +BARIBEAU B AE1 - R IH0 - B OW0 +BARICH B AE1 - R IH0 K +BARIL B EH1 - R AH0 L +BARILE B AA1 - R AH0 L +BARILLARI B EH2 - R IH0 - L EH1 - R IY0 +BARILLARI'S B EH2 - R IH0 - L EH1 - R IY0 Z +BARILLO B ER0 - IH1 - L OW0 +BARINCO B ER0 - IH1 NG - K OW2 +BARING B EH1 - R IH0 NG +BARING'S B EH1 - R IH0 NG Z +BARINGER B EH1 - R IH0 - NG ER0 +BARINGS B EH1 - R IH0 NG Z +BARINGS' B EH1 - R IH0 NG Z +BARIS B AA1 - R IY0 Z +BARISH B EH1 - R IH0 SH +BARITE B EH1 - R AY0 T +BARITES B EH1 - R AY0 T S +BARITONE B EH1 - R AH0 - T OW2 N +BARIUM B EH1 - R IY0 - AH0 M +BARK B AA1 R K +BARKAI B AA0 R - K AY1 +BARKALOW B AA1 R - K AH0 - L OW2 +BARKAN B AA1 R - K AH0 N +BARKDOLL B AA1 R K - D AH0 L +BARKDULL B AA1 R K - D AH0 L +BARKE B AA1 R K +BARKED B AA1 R K T +BARKELEY B AA1 R K - L IY0 +BARKER B AA1 R - K ER0 +BARKERS B AA1 R - K ER0 Z +BARKES B AA1 R K S +BARKETT B AA1 R - K IH0 T +BARKEY B AA1 R - K IY2 +BARKHURST B AA1 R K - HH ER0 S T +BARKIN B AA1 R - K IH0 N +BARKING B AA1 R - K IH0 NG +BARKLEY B AA1 R K - L IY0 +BARKLOW B AA1 R - K L OW2 +BARKMAN B AA1 R K - M AH0 N +BARKO B AA1 R - K OW0 +BARKOCY B AA1 R - K AH0 - S IY0 +BARKOW B AA1 R - K OW0 +BARKS B AA1 R K S +BARKSDALE B AA1 R K S - D EY2 L +BARKSHIRE B AA1 R K - SH AY2 R +BARKUS B AA1 R - K AH0 S +BARLAGE B AA1 R - L IH0 JH +BARLETT B AA1 R - L IH0 T +BARLETTA B AA0 R - L EH1 - T AH0 +BARLETTESVILLE B AA1 R - L AH0 T S - V IH2 L +BARLEY B AA1 R - L IY0 +BARLOON B AA0 R - L UW1 N +BARLOW B AA1 R - L OW2 +BARLOWE B AA1 R - L OW2 +BARMAN B AA1 R - M AH0 N +BARMORE B AA1 R - M AO0 R +BARN B AA1 R N +BARNA B AA1 R - N AH0 +BARNABAS B AA1 R - N AH0 - B AH0 S +BARNABY B AA1 R - N AH0 - B IY0 +BARNABY'S B AA1 R - N AH0 - B IY0 Z +BARNACLE B AA1 R - N AH0 - K AH0 L +BARNACLES B AA1 R - N AH0 - K AH0 L Z +BARNARD B AA1 R - N ER0 R D +BARNARD'S B AA1 R - N ER0 D Z +BARNARD(2) B ER0 - N AA1 R D +BARNARD(3) B AA1 R - N AA0 R D +BARNARDS B AA1 R - N ER0 D Z +BARNAS B AA1 R - N AH0 Z +BARNDT B AA1 R N T +BARNELL B AA1 R - N AH0 L +BARNER B AA1 R - N ER0 +BARNES B AA1 R N Z +BARNET B AA1 R - N IH0 T +BARNETT B AA0 R - N EH1 T +BARNETT'S B AA0 R - N EH1 T S +BARNETTE B AA1 R - N EH1 T +BARNEVIK B AA0 R - N EH1 - V IH0 K +BARNEY B AA1 R - N IY0 +BARNEY'S B AA1 R - N IY0 Z +BARNEYS B AA1 R - N IY0 Z +BARNFIELD B AA1 R N - F IY2 L D +BARNHARD B AA1 R N - HH AA2 R D +BARNHARDT B AA1 R N - HH AA2 R T +BARNHART B AA1 R N - HH AA2 R T +BARNHILL B AA1 R N - HH IH2 L +BARNHOUSE B AA1 R N - HH AW2 S +BARNICK B AA1 R - N IH0 K +BARNICLE B AA1 R - N IH0 - K AH0 L +BARNISH B AA1 R - N IH0 SH +BARNO B AA1 R - N OW0 +BARNOWSKI B AA0 R - N AW1 S - K IY0 +BARNS B AA1 R N Z +BARNSTORM B AA1 R N - S T AO2 R M +BARNSTORMING B AA1 R N - S T AO2 R - M IH0 NG +BARNUM B AA1 R - N AH0 M +BARNWELL B AA1 R N - W EH2 L +BARNY B AA1 R - N IY0 +BARNYARD B AA1 R N - Y AA2 R D +BARO B AA1 - R OW0 +BAROID B ER0 - OY1 D +BAROMETER B ER0 - AA1 - M IH0 - T ER0 +BAROMETERS B ER0 - AA1 - M IH0 - T ER0 Z +BAROMETRIC B AE2 - R AH0 - M EH1 - T R IH0 K +BARON B AE1 - R AH0 N +BARON'S B AE1 - R AH0 N Z +BARON'S(2) B EH1 - R AH0 N Z +BARON(2) B EH1 - R AH0 N +BARONE B ER0 - OW1 N +BARONE'S B ER0 - OW1 N Z +BARONESS B EH1 - R AH0 - N IH0 S +BARONET B EH1 - R AH0 - N AH0 T +BARONET(2) B EH2 - R AH0 - N EH1 T +BARONETS B EH1 - R AH0 - N AH0 T S +BARONETS(2) B EH2 - R AH0 - N EH1 T S +BARONI B AA0 - R OW1 - N IY0 +BARONS B AE1 - R AH0 N Z +BARONS(2) B EH1 - R AH0 N Z +BAROODY B ER0 - UW1 - D IY0 +BAROQUE B ER0 - OW1 K +BAROS B AA1 - R OW0 Z +BAROVIC B EH1 - R AH0 - V IH0 K +BAROVSKY B ER0 - AA1 V S - K IY0 +BARR B AA1 R +BARR'S B AA1 R Z +BARRA B AA1 - R AH0 +BARRACK B AE1 - R AH0 K +BARRACK(2) B EH1 - R AH0 K +BARRACKS B AE1 - R AH0 K S +BARRACKS(2) B EH1 - R AH0 K S +BARRACLOUGH B AE1 - R AH0 K - L AW0 +BARRACO B AA0 - R AA1 - K OW0 +BARRACUDA B EH2 - R AH0 - K UW1 - D AH0 +BARRADINO B EH2 - R AH0 - D IY1 - N OW0 +BARRAGAN B EH1 - R AH0 - G AH0 N +BARRAGE B ER0 - AA1 ZH +BARRAGED B ER0 - AA1 ZH D +BARRAGES B ER0 - AA1 - ZH IH0 Z +BARRANCO B AA0 - R AA1 N - K OW0 +BARRAS B AE1 - R AH0 Z +BARRASSO B AA2 - R AA1 - S OW0 +BARRATT B AE1 - R AH0 T +BARRAZA B AA2 - R AA1 - Z AH0 +BARRE B EH1 - R IY0 +BARRE(2) B AA1 R +BARRECA B AA2 - R EH1 - K AH0 +BARRED B AA1 R D +BARREDA B AA0 - R EY1 - D AH0 +BARREIRO B AA0 - R EH1 - R OW0 +BARREL B AE1 - R AH0 L +BARREL(2) B EH1 - R AH0 L +BARRELED B AE1 - R AH0 L D +BARRELED(2) B EH1 - R AH0 L D +BARRELING B AE1 - R AH0 L - IH0 NG +BARRELING(2) B EH1 - R AH0 L - IH0 NG +BARRELL B AA0 - R EY1 L +BARRELS B AE1 - R AH0 L Z +BARRELS(2) B EH1 - R AH0 L Z +BARREN B AE1 - R AH0 N +BARREN(2) B EH1 - R AH0 N +BARRENS B AE1 - R AH0 N Z +BARRENTINE B AE1 - R AH0 N - T AY2 N +BARRERA B AA2 - R EH1 - R AH0 +BARRERAS B AA0 - R EH1 - R AA0 Z +BARRES B AA1 R Z +BARRESI B AA2 - R EH1 - S IY0 +BARRET B AE1 - R IH0 T +BARRETO B AA0 - R EH1 - T OW0 +BARRETT B AE1 - R IH0 T +BARRETT(2) B EH1 - R IH0 T +BARRETTA B AA0 - R EH1 - T AH0 +BARRETTE B ER0 - EH1 T +BARRETTO B AA0 - R EH1 - T OW0 +BARRICADA B AA2 - R IH0 - K AA1 - D AH0 +BARRICADE B AE1 - R AH0 - K EY2 D +BARRICADE(2) B EH1 - R AH0 - K EY2 D +BARRICADED B AE1 - R AH0 - K EY2 - D IH0 D +BARRICADED(2) B EH1 - R AH0 - K EY2 - D IH0 D +BARRICADES B AE1 - R AH0 - K EY2 D Z +BARRICADES(2) B EH1 - R AH0 - K EY2 D Z +BARRICK B AE1 - R IH0 K +BARRICK'S B AE1 - R IH0 K S +BARRICK'S(2) B EH1 - R IH0 K S +BARRICK(2) B EH1 - R IH0 K +BARRICKLOW B AE1 - R IH0 K - L AW0 +BARRICKMAN B AE1 - R IH0 K - M AH0 N +BARRIE B AE1 - R IY0 +BARRIE(2) B EH1 - R IY0 +BARRIENTES B ER0 - IY1 N T S +BARRIENTEZ B AA0 - R IY1 N - T EH0 Z +BARRIENTOS B AA0 - R IY1 N - T OW0 Z +BARRIER B AE1 - R IY0 - ER0 +BARRIER(2) B EH1 - R IY0 - ER0 +BARRIERE B AA0 - R IH1 - R IY0 +BARRIERS B AE1 - R IY0 - ER0 Z +BARRIERS(2) B EH1 - R IY0 - ER0 Z +BARRIGA B AA2 - R IY1 - G AH0 +BARRIGER B AE1 - R IH0 G - ER0 +BARRILLEAUX B AE1 - R IH0 L - OW2 +BARRINEAU B AE1 - R IH0 N - OW2 +BARRING B AA1 - R IH0 NG +BARRINGER B AE1 - R IH0 NG - ER0 +BARRINGS B AA1 - R IH0 NG Z +BARRINGTON B AE1 - R IH0 NG - T AH0 N +BARRINGTON(2) B EH1 - R IH0 NG - T AH0 N +BARRIO B AA1 - R IY0 - OW0 +BARRIOS B AA0 - R IY1 - OW0 Z +BARRIOS(2) B EH0 - R IY1 - OW0 Z +BARRIS B AE1 - R IH0 S +BARRIS(2) B EH1 - R IH0 S +BARRISH B AE1 - R IH0 SH +BARRISTER B AE1 - R IH0 S - T ER0 +BARRISTER(2) B EH1 - R IH0 - S T ER0 +BARRISTERS B AE1 - R IH0 S - T ER0 Z +BARRISTERS(2) B EH1 - R IH0 - S T ER0 Z +BARRITT B ER0 - IH1 T +BARRO B AA1 - R OW0 +BARRON B AE1 - R AH0 N +BARRON'S B AE1 - R AH0 N Z +BARRON'S(2) B EH1 - R AH0 N Z +BARRON(2) B EH1 - R AH0 N +BARRONE B ER0 - OW1 N +BARROOM B AA1 R - R UW2 M +BARROS B AA1 - R OW0 Z +BARROSO B AA2 - R OW1 - S OW0 +BARROW B AE1 - R OW0 +BARROW(2) B EH1 - R OW0 +BARROWMAN B AE1 - R OW0 - M AH0 N +BARROWMAN(2) B EH1 - R OW0 - M AH0 N +BARROWS B AE1 - R OW0 Z +BARROWS(2) B EH1 - R OW0 Z +BARRS B AA1 R Z +BARRUS B AE1 - R AH0 S +BARRY B AE1 - R IY0 +BARRY'S B AE1 - R IY0 Z +BARRY'S(2) B EH1 - R IY0 Z +BARRY(2) B EH1 - R IY0 +BARRYMORE B AE1 - R IY0 - M AO2 R +BARRYMORE(2) B EH1 - R IY0 - M AO2 R +BARS B AA1 R Z +BARSAMIAN B AA2 R - S EY1 - M IY0 - AH0 N +BARSANTI B AA0 R - S AA1 N - T IY0 +BARSCH B AA1 R SH +BARSCHEL B AA1 R - SH AH0 L +BARSH B AA1 R SH +BARSHEFSKY B AA2 R - SH EH1 F S - K IY0 +BARSKY B AA1 R S - K IY0 +BARSNESS B AA1 R Z - N AH0 S +BARSON B AA1 R - S AH0 N +BARSOTTI B AA0 R - S OW1 - T IY0 +BARSTAD B AA1 R - S T AH0 D +BARSTOW B AA1 R - S T OW2 +BARSZCZ B AA1 R SH CH +BART B AA1 R T +BARTA B AA1 R - T AH0 +BARTAK B AA1 R - T AH0 K +BARTEE B AA1 R - T IY2 +BARTEK B AA1 R - T EH2 K +BARTEL B AA1 R - T AH0 L +BARTELL B AA0 R - T EY1 L +BARTELS B AA1 R - T AH0 L Z +BARTELSON B AA1 R - T IH0 L - S AH0 N +BARTELT B AA1 R - T IH0 L T +BARTEN B AA1 R - T AH0 N +BARTENDER B AA1 R - T EH2 N - D ER0 +BARTENDERS B AA1 R - T EH2 N - D ER0 Z +BARTER B AA1 R - T ER0 +BARTERED B AA1 R - T ER0 D +BARTERING B AA1 R - T ER0 - IH0 NG +BARTH B AA1 R TH +BARTHA B AA1 R - TH AH0 +BARTHEL B AA1 R - TH AH0 L +BARTHELEMY B AA2 R - TH EH1 - L AH0 - M IY0 +BARTHELME B AA1 R - TH AH0 L M +BARTHELME'S B AA1 R - TH AH0 L M Z +BARTHES B AA1 R TH S +BARTHOLD B AA1 R - TH OW2 L D +BARTHOLOMAY B AA0 R - TH AH0 - L AA1 - M EY0 +BARTHOLOMEW B AA0 R - TH AA1 - L AH0 - M Y UW2 +BARTHOLOW B AA1 R - TH AH0 - L OW0 +BARTHRAM B AA1 R - TH R AE2 M +BARTKO B AA1 R T - K OW0 +BARTKOWIAK B ER0 T - K AW1 - IY0 - AE0 K +BARTKOWSKI B ER0 T - K AO1 F S - K IY0 +BARTKUS B AA1 R T - K IH0 S +BARTL B AA1 R - T AH0 L +BARTLE B AA1 R - T AH0 L +BARTLEBAUGH B AA1 R - T AH0 L - B AO0 +BARTLES B AA1 R - T AH0 L Z +BARTLESON B AA1 R - T AH0 L - S AH0 N +BARTLESVILLE B AA1 R - T AH0 L Z - V IH2 L +BARTLETT B AA1 R T - L IH0 T +BARTLETT'S B AA1 R T - L AH0 T S +BARTLEY B AA1 R T - L IY0 +BARTLING B AA1 R T - L IH0 NG +BARTLOW B AA1 R T - L OW0 +BARTMAN B AA1 R T - M AH0 N +BARTMESS B AA1 R T - M IH0 S +BARTNICK B AA1 R T - N IH0 K +BARTNICKI B ER0 T - N IH1 T S - K IY0 +BARTNIK B AA1 R T - N IH0 K +BARTO B AA1 R - T OW0 +BARTOK B AA1 R - T AH0 K +BARTOL B AA1 R - T AH0 L +BARTOLETTI B AA0 R - T OW0 - L EH1 - T IY0 +BARTOLI B AA0 R - T OW1 - L IY0 +BARTOLINI B AA0 R - T OW0 - L IY1 - N IY0 +BARTOLO B AA0 R - T OW1 - L OW0 +BARTOLOMEI B AA0 R - T OW0 - L OW0 - M EY1 - IY0 +BARTOLOMEO B AA0 R - T AO0 - L AH0 - M EY1 - OW0 +BARTOLUCCI B AA0 R - T OW0 - L UW1 - CH IY0 +BARTON B AA1 R - T AH0 N +BARTON'S B AA1 R - T AH0 N Z +BARTONE B AA0 R - T OW1 - N IY0 +BARTOO B AA1 R - CH UW0 +BARTOS B AA1 R - T OW0 Z +BARTOSCH B AA1 R - T AO0 SH +BARTOSH B AA1 R - T AH0 SH +BARTOSIEWICZ B ER0 - T AA1 - S AH0 - V IH0 CH +BARTOSIK B ER0 - T OW1 - S IH0 K +BARTOSZEK B ER0 - T AA1 - SH EH0 K +BARTOW B AA1 R - T OW2 +BARTRAM B AA1 R - T R AE2 M +BARTS B AA1 R T S +BARTSCH B AA1 R CH +BARTUNEK B AA1 R - T AH0 - N IH0 K +BARTUS B AA1 R - T AH0 S +BARTZ B AA1 R T S +BARUCH B AA2 - R UW1 K +BARWICK B AA1 R - W IH2 K +BARYSHNIKOV B ER0 - IH1 SH - N IH0 - K AA2 V +BARYSHNIKOV'S B ER0 - IH1 SH - N IH0 - K AA2 V Z +BARZ B AA1 R Z +BAS-RELIEF B AA1 - R IY0 - L IY1 F +BAS-RELIEF(2) B AA1 - S R IY0 - L IY1 F +BAS-RELIEFS B AA1 - R IY0 - L IY1 F S +BAS-RELIEFS(2) B AA1 - S R IY0 - L IY1 F S +BASA B AA1 - S AH0 +BASAL B EY1 - S AH0 L +BASALDUA B AA0 - S AA0 L - D UW1 - AH0 +BASALT B AH0 - S AO1 L T +BASALTS B AH0 - S AO1 L T S +BASARA B AH0 - S EH1 - R AH0 +BASARA'S B AH0 - S EH1 - R AH0 Z +BASAYEV B AE1 - S AA0 - Y EH2 V +BASAYEV(2) B AE1 - S AA0 Y - EH2 F +BASCAY B AE1 - S K EY0 +BASCH B AE1 SH +BASCO B AA1 - S K OW0 +BASCOM B AE1 - S K AH0 M +BASDEN B AE1 - S D AH0 N +BASE B EY1 S +BASE'S B EY1 - S AH0 Z +BASEBALL B EY1 S - B AO1 L +BASEBALL'S B EY1 S - B AO1 L Z +BASEBALLS B EY1 S - B AO1 L Z +BASEBOARD B EY1 S - B AO2 R D +BASEBOARDS B EY1 S - B AO2 R D Z +BASED B EY1 S T +BASEHORE B AE1 - S IH0 - HH AO0 R +BASEHORE(2) B EY1 S - HH AO0 R +BASEL B AA1 - Z AH0 L +BASELESS B EY1 S - L AH0 S +BASELINE B EY1 S - L AY2 N +BASEMAN B EY1 S - M AH0 N +BASEMENT B EY1 S - M AH0 N T +BASEMENTS B EY1 S - M AH0 N T S +BASENJI B AH0 - S EH1 N - JH IY0 +BASES B EY1 - S AH0 Z +BASES(2) B EY1 - S IH0 Z +BASES(3) B EY1 - S IY0 Z +BASEY B EY1 - S IY0 +BASFORD B AE1 S - F ER0 D +BASGALL B AE1 - S G AH0 L +BASH B AE1 SH +BASHA B AA1 - SH AH0 +BASHAM B AE1 - SH AH0 M +BASHAW B AH0 - SH AO1 +BASHED B AE1 SH T +BASHER B AE1 - SH ER0 +BASHERS B AE1 - SH ER0 Z +BASHES B AE1 - SH IH0 Z +BASHFORD B AE1 SH - F ER0 D +BASHFUL B AE1 SH - F AH0 L +BASHING B AE1 - SH IH0 NG +BASHIR B AH0 - SH IH1 R +BASHOR B AE1 - SH ER0 +BASHORE B AE1 - SH ER0 +BASIC B EY1 - S IH0 K +BASIC'S B EY1 - S IH0 K S +BASICALLY B EY1 - S IH0 K - L IY0 +BASICH B AA1 - S IH0 HH +BASICS B EY1 - S IH0 K S +BASIE B EY1 - Z IY0 +BASIL B AE1 - Z AH0 L +BASILE B AA1 - S AH0 L +BASILIA B AA0 - S IY1 - L IY0 - AH0 +BASILICA B AH0 - S IH1 - L IH0 - K AH0 +BASILICA(2) B AH0 - Z IH1 - L AH0 - K AH0 +BASILIO B AA0 - S IY1 - L IY0 - OW0 +BASIM B AA0 - S IY1 M +BASIM'S B AA0 - S IY1 M Z +BASIN B EY1 - S AH0 N +BASING B EY1 - S IH0 NG +BASINGER B EY1 - S IH0 - NG ER0 +BASINS B EY1 - S AH0 N Z +BASINSKI B AH0 - S IH1 N - S K IY0 +BASIS B EY1 - S AH0 S +BASIS(2) B EY1 - S IH0 S +BASISTA B AH0 - S IH1 - S T AH0 +BASIX B EY1 - S IH0 K S +BASK B AE1 S K +BASKED B AE1 S K T +BASKERVILLE B AE1 - S K ER0 - V IH2 L +BASKET B AE1 - S K AH0 T +BASKETBALL B AE1 - S K AH0 T - B AO2 L +BASKETBALL'S B AE1 - S K AH0 T - B AO2 L Z +BASKETBALLS B AE1 - S K AH0 T - B AO2 L Z +BASKETMAKER B AE1 - S K AH0 T - M EY2 - K ER0 +BASKETMAKING B AE1 - S K AH0 T - M EY2 - K IH0 NG +BASKETRY B AE1 - S K AH0 - T R IY0 +BASKETS B AE1 - S K AH0 T S +BASKETT B AE1 - S K IH0 T +BASKETTE B AH0 - S K EH1 T +BASKIN B AE1 - S K IH0 N +BASKING B AE1 - S K IH0 NG +BASKINS B AE1 - S K IH0 N Z +BASKS B AE1 S K S +BASLE B AE1 - S AH0 L +BASLER B EY1 - Z AH0 L - ER0 +BASNER B AE1 - S N ER0 +BASNETT B AE1 - S N IH0 T +BASNIGHT B AE1 Z - N AY2 T +BASON B AE1 - S AH0 N +BASORE B AA0 - S AO1 - R IY0 +BASQUE B AE1 S K +BASQUES B AE1 S K S +BASQUEZ B AA0 - S K W EH1 Z +BASRA B AA1 - S R AA0 +BASS B AE1 S +BASS'S B EY1 - S IH0 Z +BASS'S(2) B AE1 - S IH0 Z +BASS(2) B EY1 S +BASSA B AE1 - S AH0 +BASSAM B AE1 - S AH0 M +BASSE B AE1 S +BASSES B AE1 - S IH0 Z +BASSES(2) B EY1 - S IH0 Z +BASSET B AE1 - S IH0 T +BASSETT B AE1 - S IH0 T +BASSETTE B AH0 - S EH1 T +BASSETTI B AA0 - S EH1 - T IY0 +BASSFORD B AE1 S - F ER0 D +BASSHAM B AE1 - SH AH0 M +BASSI B AE1 - S IY0 +BASSIN B AE1 - S IH0 N +BASSINGER B AE1 - S IH0 N - JH ER0 +BASSIR B AH0 - S IH1 R +BASSIR'S B AH0 - S IH1 R Z +BASSIST B EY1 - S IH0 S T +BASSISTS B EY1 - S IH0 S T S +BASSLER B AE1 S - L ER0 +BASSMAN B AE1 S - M AH0 N +BASSO B AE1 - S OW0 +BASSOON B AH0 - S UW1 N +BAST B AE1 S T +BASTA B AE1 - S T AH0 +BASTARACHE B AA0 - S T AA1 - R EY0 K +BASTARD B AE1 - S T ER0 D +BASTARDS B AE1 - S T ER0 D Z +BASTEDO B AA0 - S T EY1 - D OW0 +BASTEN B EY1 - S T AH0 N +BASTIAN B AE1 - S CH IH0 N +BASTIEN B AE1 - S T AH0 N +BASTILLE B AE1 - S T IH0 L +BASTILLE(2) B AE2 - S T IH1 L +BASTIN B AE1 - S T IH0 N +BASTION B AE1 - S CH AH0 N +BASTIONS B AE1 - S CH AH0 N Z +BASTOGNE B AE2 - S T OW1 N +BASTOGNE'S B AE2 - S T OW1 N Z +BASTON B AE1 - S T AH0 N +BASTONE B AA1 - S T OW0 N +BASTOW B AE1 - S T OW0 +BASTYR B EY1 - S T IH0 R +BASU B AA1 - S UW0 +BASULTO B AH0 - S AH1 L - T OW0 +BASURTO B AA0 - S UH1 R - T OW0 +BASWELL B AE1 - S W EH0 L +BASYE B AE1 - S AY0 +BAT B AE1 T +BATAAN B AH0 - T AA1 N +BATAN B EY1 - T AH0 N +BATAT B AH0 - T AA1 T +BATAVIA B AH0 - T EY1 - V IY0 - AH0 +BATCH B AE1 CH +BATCHELDER B AE1 - CH EH2 L - D ER0 +BATCHELLER B AE1 - CH AH0 - L ER0 +BATCHELOR B AE1 - CH AH0 - L ER0 +BATCHES B AE1 - CH AH0 Z +BATCHES(2) B AE1 - CH IH0 Z +BATDORF B AE1 T - D AO0 R F +BATE B EY1 T +BATED B EY1 - T IH0 D +BATEMAN B EY1 T - M AH0 N +BATES B EY1 T S +BATES' B EY1 T S +BATESON B AE1 - T IH0 - S AH0 N +BATESON(2) B EY1 T - S AH0 N +BATESON(3) B AE1 T - S AH0 N +BATESVILLE B EY1 T S - V IH2 L +BATEY B EY1 - T IY0 +BATH B AE1 TH +BATHE B EY1 DH +BATHED B EY1 DH D +BATHER B EY1 - DH ER0 +BATHER(2) B AE1 - DH ER0 +BATHERS B EY1 - DH ER0 Z +BATHERS(2) B AE1 - DH ER0 Z +BATHES B EY1 DH Z +BATHGATE B AE1 TH - G EY2 T +BATHING B EY1 - DH IH0 NG +BATHKE B AE1 TH K +BATHOLITH B AE1 - TH AH0 - L IH0 TH +BATHOLITHS B AE1 - TH AH0 - L IH0 TH S +BATHRICK B AE1 TH - R IH0 K +BATHROBE B AE1 TH - R OW2 B +BATHROBES B AE1 TH - R OW2 B Z +BATHROOM B AE1 TH - R UW2 M +BATHROOMS B AE1 TH - R UW2 M Z +BATHROOMS(2) B AA1 TH - R UW2 M Z +BATHS B AE1 TH S +BATHSHEBA B AE0 TH - SH IY1 - B AH0 +BATHTUB B AE1 TH - T AH0 B +BATHTUBS B AE1 TH - T AH2 B Z +BATHURST B AE1 - TH ER0 S T +BATHURST'S B AE1 - TH ER0 S T S +BATIBOT B AE1 - T IH0 - B AA0 T +BATIE B EY1 - T IY0 +BATIGNOLLES B AE2 - T IH0 - N Y OW1 - L AH0 S +BATIK B AH0 - T IY1 K +BATIKS B AE1 - T IH0 K S +BATIKS(2) B AH0 - T IY1 K S +BATISTA B AH0 - T IH1 - S T AH0 +BATLEY B AE1 T - L IY0 +BATMAN B AE1 T - M AE2 N +BATOGOWSKI B AE2 - T OW0 - G AW1 S - K IY0 +BATON B AH0 - T AA1 N +BATON(2) B AE1 - T AA2 N +BATON(3) B AE1 - T AH0 N +BATON-ROUGE B AE1 - T AH0 N - R UW1 JH +BATON-ROUGE'S B AE1 - T AH0 N - R UW1 - JH IH0 Z +BATONS B AE0 - T AA1 N Z +BATOR B AA0 - T AO1 R +BATRA B AE1 - T R AH0 +BATRES B EY1 - T ER0 Z +BATS B AE1 T S +BATSON B AE1 T - S AH0 N +BATSON'S B AE1 T - S AH0 N Z +BATT B AE1 T +BATTAGLIA B AA0 - T AA1 G - L IY0 - AH0 +BATTAGLINI B AA0 - T AA0 G - L IY1 - N IY0 +BATTALION B AH0 - T AE1 - L Y AH0 N +BATTALIONS B AH0 - T AE1 - L Y AH0 N Z +BATTE B AE1 T +BATTED B AE1 - T IH0 D +BATTELLE B AH0 - T EH1 L +BATTELLE'S B AH0 - T EH1 L Z +BATTEN B AE1 - T AH0 N +BATTENBERG B AE1 - T AH0 N - B ER2 G +BATTENFIELD B AE1 - T AH0 N - F IY2 L D +BATTENING B AE1 - T AH0 N - IH0 NG +BATTER B AE1 - T ER0 +BATTERED B AE1 - T ER0 D +BATTERER B AE1 - T ER0 - ER0 +BATTERERS B AE1 - T ER0 - ER0 Z +BATTERIES B AE1 - T ER0 - IY0 Z +BATTERING B AE1 - T ER0 - IH0 NG +BATTERMAN B AE1 - T ER0 - M AH0 N +BATTERS B AE1 - T ER0 Z +BATTERSBY B AE1 - T ER0 S - B IY0 +BATTERSON B AE1 - T ER0 - S AH0 N +BATTERY B AE1 - T ER0 - IY0 +BATTERYMARCH B AH0 - T EH1 - R IY0 - M AA0 R CH +BATTEY B AE1 - T IY0 +BATTIATO B AA0 - T IY0 - AA1 - T OW0 +BATTICALOA B AE2 - T IH0 - K AH0 - L OW1 - AH0 +BATTIN B AE1 - T IH0 N +BATTING B AE1 - T IH0 NG +BATTIPAGLIA B AE2 - T IH0 - P AE1 G - L IY0 - AH0 +BATTIS B AE1 - T IH0 S +BATTISON B AE1 - T IH0 - S AH0 N +BATTISTA B AH0 - T IY1 - S T AH0 +BATTISTE B AA0 - T IY1 - S T IY0 +BATTISTI B AA0 - T IY1 - S T IY0 +BATTISTONI B AA0 - T IY0 - S T OW1 - N IY0 +BATTLE B AE1 - T AH0 L +BATTLE'S B AE1 - T AH0 L Z +BATTLED B AE1 - T AH0 L D +BATTLEFIELD B AE1 - T AH0 L - F IY2 L D +BATTLEFIELDS B AE1 - T AH0 L - F IY2 L D Z +BATTLEFRONT B AE1 - T AH0 L - F R AH2 N T +BATTLEGROUND B AE1 - T AH0 L - G R AW2 N D +BATTLEGROUNDS B AE1 - T AH0 L - G R AW2 N D Z +BATTLEMENT B AE1 - T AH0 L - M AH0 N T +BATTLEMENT(2) B AE1 - T AH0 L - M EH0 N T +BATTLEMENTS B AE1 - T AH0 L - M AH0 N T S +BATTLES B AE1 - T AH0 L Z +BATTLESHIP B AE1 - T AH0 L - SH IH2 P +BATTLESHIPS B AE1 - T AH0 L - SH IH2 P S +BATTLING B AE1 - T AH0 L - IH0 NG +BATTLING(2) B AE1 T - L IH0 NG +BATTON B AE1 - T AH0 N +BATTS B AE1 T S +BATTY B AE1 - T IY0 +BATUIGAS B AE2 - CH UW0 - IY1 - G AH0 S +BATUS B AE1 - T AH0 S +BATUS(2) B AO1 - T AH0 S +BATY B EY1 - T IY0 +BATZ B AE1 T S +BATZEL B AE1 T - Z AH0 L +BATZER B EY1 T - Z ER0 +BAUBLE B AO1 - B AH0 L +BAUBLES B AO1 - B AH0 L Z +BAUBLITZ B AW1 - B L IH0 T S +BAUCH B AO1 CH +BAUCOM B OW0 - K AA1 M +BAUCUM B OW0 - K AH1 M +BAUCUS B AA1 - K AH0 S +BAUCUS(2) B AE1 - K AH0 S +BAUD B AO1 D +BAUDENDISTEL B AW1 - D IH0 N - D IH0 - S T AH0 L +BAUDER B AW1 - D ER0 +BAUDOIN B OW0 D - W AA1 - EY0 N +BAUDOUIN B AO0 - D UW1 - IH0 N +BAUER B AW1 - ER0 +BAUERLE B AW1 - ER0 - AH0 L +BAUERLEIN B AW1 - ER0 - L AY0 N +BAUERMEISTER B AW1 - ER0 - M AY0 - S T ER0 +BAUERNFEIND B AW1 - ER0 N - F AY0 N D +BAUERS B AW1 - ER0 Z +BAUGH B AO1 +BAUGHAN B AO1 - AH0 N +BAUGHER B AO1 - ER0 +BAUGHMAN B AO1 - M AH0 N +BAUGHN B AO1 N +BAUGUESS B AW1 - G IH0 S +BAUGUS B AO1 - G AH0 S +BAUKNECHT B AW1 K - N IH0 K T +BAUKNIGHT B AO1 K - N AY2 T +BAUM B AO1 M +BAUM(2) B AW1 M +BAUMAN B AW1 - M AH0 N +BAUMANN B AW1 - M AH0 N +BAUMBACH B AW1 M - B AA2 K +BAUMBERGER B AW1 M - B ER0 - G ER0 +BAUMBERGER(2) B AA1 M - B ER0 - G ER0 +BAUMEISTER B AW1 - M AY2 - S T ER0 +BAUMEL B AW1 - M AH0 L +BAUMER B AW1 - M ER0 +BAUMERT B AW1 - M ER0 T +BAUMGARD B AW1 M - G ER0 D +BAUMGARD(2) B AA1 M - G ER0 D +BAUMGARDNER B AW1 M - G AA2 R D - N ER0 +BAUMGARDNER(2) B AA1 M - G AA2 R D - N ER0 +BAUMGARDT B AW1 M - G AA2 R T +BAUMGARDT(2) B AA1 M - G AA2 R T +BAUMGARNER B AW1 M - G AA2 R - N ER0 +BAUMGARNER(2) B AA1 M - G AA2 R - N ER0 +BAUMGART B AW1 M - G AA2 R T +BAUMGART(2) B AA1 M - G AA2 R T +BAUMGARTEN B AW1 M - G AA0 R - T AH0 N +BAUMGARTEN(2) B AA1 M - G AA0 R - T AH0 N +BAUMGARTNER B AW1 M - G AA2 R T - N ER0 +BAUMGARTNER(2) B AA1 M - G AA2 R T - N ER0 +BAUMHARDT B AW1 M - HH AA2 R T +BAUMHARDT(2) B AA1 M - HH AA2 R T +BAUMHOLDER B AA1 M - HH AO2 L - D ER0 +BAUMHOLDER(2) B AW1 M - HH AO2 L - D ER0 +BAUMLER B AW1 - M AH0 - L ER0 +BAUMLER(2) B AA1 - M AH0 - L ER0 +BAUMLER(3) B AA1 M - L ER0 +BAUMSTARK B AW1 M - S T AA2 R K +BAUMSTARK(2) B AA1 M - S T AA2 R K +BAUN B AO1 N +BAUR B AO1 R +BAUR(2) B AW1 - ER0 +BAUS B AO1 Z +BAUSCH B AW1 SH +BAUSERMAN B AW1 - S ER0 - M AH0 N +BAUSMAN B AW1 S - M AH0 N +BAUTCH B AW1 CH +BAUTISTA B AO0 - T IY1 - S T AH0 +BAUTZ B AO1 T S +BAUTZER B AW1 T - S ER0 +BAUWENS B AW1 - W AH0 N Z +BAUXITE B AO1 K - S AY0 T +BAUZA B AW1 - Z AH0 +BAVA B AA1 - V AH0 +BAVADRA B AH0 - V AE1 - D R AH0 +BAVARIA B AH0 - V EH1 - R IY0 - AH0 +BAVARIA'S B AH0 - V EH1 - R IY0 - AH0 Z +BAVARIAN B AH0 - V EH1 - R IY0 - AH0 N +BAVARO B AA0 - V AA1 - R OW0 +BAVER B EY1 - V ER0 +BAVIS B EY1 - V IH0 S +BAWD B AO1 D +BAWDEN B AO1 - D AH0 N +BAWDY B AO1 - D IY0 +BAWER B AO1 - ER0 +BAWL B AO1 L +BAWLED B AO1 L D +BAX B AE1 K S +BAXA B AE1 K - S AH0 +BAXENDALE B AE1 K - S AH0 N - D EY0 L +BAXLEY B AE1 K S - L IY0 +BAXT B AE1 K S T +BAXTER B AE1 K - S T ER0 +BAXTER'S B AE1 K - S T ER0 Z +BAY B EY1 +BAY'S B EY1 Z +BAYANJOU B AY0 - AE1 N - JH UW0 +BAYAR B EY1 - ER0 +BAYARD B EY1 - ER0 D +BAYBANK B EY1 - B AE2 NG K +BAYBANK'S B EY1 - B AE2 NG K S +BAYBANKS B EY1 - B AE2 NG K S +BAYDHABO B EY0 - D AA1 - B OW0 +BAYE B EY1 +BAYED B EY1 D +BAYER B EY1 - ER0 +BAYER'S B EY1 - ER0 Z +BAYERISCHE B EY2 - ER0 - IY1 SH +BAYERS B EY1 - ER0 Z +BAYES B EY1 Z +BAYH B EY1 +BAYING B EY1 - IH0 NG +BAYLE B EY1 L +BAYLEE B EY1 - L IY0 +BAYLEN B EY1 - L AH0 N +BAYLES B EY1 L Z +BAYLESS B EY1 - L IH0 S +BAYLEY B EY1 - L IY0 +BAYLIFF B EY1 - L IH0 F +BAYLINER B EY1 - L AY2 - N ER0 +BAYLIS B EY1 - L IH0 S +BAYLISS B EY1 - L IH0 S +BAYLOR B EY1 - L ER0 +BAYLY B EY1 - L IY0 +BAYMAN B EY1 - M AH0 N +BAYNARD B EY1 - N ER0 D +BAYNE B EY1 N +BAYNES B EY1 N Z +BAYNHAM B EY1 N - HH AH0 M +BAYOG B EY1 - AA2 G +BAYONET B EY1 - AH0 - N EH2 T +BAYONETS B EY1 - AH0 - N EH2 T S +BAYONNE B EY2 - Y OW1 N +BAYOU B AY1 - UW0 +BAYOUS B AY1 - UW0 Z +BAYOUTH B AY1 - UW0 TH +BAYREUTH B EY1 - R OY2 TH +BAYS B EY1 Z +BAYSE B EY1 Z +BAYSIDE B EY1 - S AY2 D +BAYSINGER B EY1 - S IH0 N - JH ER0 +BAYTOWN B EY1 - T AW2 N +BAYTREE B EY1 - T R IY2 +BAYTREE'S B EY1 - T R IY2 Z +BAYUK B EY1 - AH0 K +BAYUL B EY1 - AH0 L +BAYUS B EY1 - AH0 S +BAYWATCH B EY1 - W AA0 CH +BAZ B AE1 Z +BAZAAR B AH0 - Z AA1 R +BAZAARS B AH0 - Z AA1 R Z +BAZAN B EY1 - Z AH0 N +BAZAR B AH0 - Z AA1 R +BAZE B EY1 Z +BAZEMORE B AA1 Z - M AO0 R +BAZILE B AA1 - Z AY0 L +BAZILE(2) B AA1 - Z IY0 L +BAZINET B AE1 - Z IH0 - N EH0 T +BAZOOKA B AH0 - Z UW1 - K AH0 +BAZOOKAS B AH0 - Z UW1 - K AH0 Z +BAZZANO B AA0 T - S AA1 - N OW0 +BAZZELL B AE1 - Z AH0 L +BAZZLE B AE1 - Z AH0 L +BBC B IY2 - B IY0 - S IY1 +BBC'S B IY2 - B IY0 - S IY1 S +BBQ B IY1 - B IY0 - K Y UW2 +BBQ(2) B AA1 R - B IH0 - K Y UW2 +BE B IY1 +BE(2) B IY0 +BEA B IY1 +BEABER B IY1 - B ER0 +BEABOUT B AH0 - B UW1 T +BEACH B IY1 CH +BEACH'S B IY1 - CH AH0 Z +BEACHAM B AH0 - SH AE1 M +BEACHAM(2) B IY1 - CH AH0 M +BEACHCOMBER B IY1 CH - K OW2 - M ER0 +BEACHED B IY1 CH T +BEACHEM B IY1 - K IH0 M +BEACHER B IY1 - CH ER0 +BEACHES B IY1 - CH AH0 Z +BEACHES(2) B IY1 - CH IH0 Z +BEACHFRONT B IY1 CH - F R AA0 N T +BEACHHEAD B IY1 CH - HH EH2 D +BEACHHEADS B IY1 CH - HH EH2 D Z +BEACHING B IY1 - CH IH0 NG +BEACHLER B IY1 - K AH0 - L ER0 +BEACHLER(2) B IY1 CH - L ER0 +BEACHUM B IY1 - CH AH0 M +BEACHY B IY1 - CH IY0 +BEACOM B IY1 - K AH0 M +BEACON B IY1 - K AH0 N +BEACONS B IY1 - K AH0 N Z +BEAD B IY1 D +BEADED B IY1 - D IH0 D +BEADLE B IY1 - D AH0 L +BEADLES B IY1 - D AH0 L Z +BEADLING B IY1 D - L IH0 NG +BEADS B IY1 D Z +BEADWORK B IY1 D - W ER2 K +BEADY B IY1 - D IY0 +BEAGAN B AH0 - G AE1 N +BEAGEN B IY1 - G AH0 N +BEAGLE B IY1 - G AH0 L +BEAGLES B IY1 - G AH0 L Z +BEAGLEY B IY1 G - L IY0 +BEAHAN B IY1 - HH AH0 N +BEAHM B IY1 M +BEAIRD B IH1 R D +BEAK B IY1 K +BEAKER B IY1 - K ER0 +BEAKLEY B IY1 K - L IY0 +BEAKLIKE B IY1 K - L AY2 K +BEAKMAN B IY1 K - M AH0 N +BEAKMAN'S B IY1 K - M AH0 N Z +BEAL B IY1 L +BEALE B IY1 L +BEALER B IY1 - L ER0 +BEALES B IY1 L Z +BEALL B IY1 L +BEALS B IY1 L Z +BEAM B IY1 M +BEAM'S B IY1 M Z +BEAMAN B IY1 - M AH0 N +BEAMED B IY1 M D +BEAMER B IY1 - M ER0 +BEAMING B IY1 - M IH0 NG +BEAMISH B IY1 - M IH0 SH +BEAMON B IY1 - M AH0 N +BEAMS B IY1 M Z +BEAN B IY1 N +BEAN'S B IY1 N Z +BEANBLOSSOM B IY1 N - B L AH0 - S AH0 M +BEANE B IY1 N +BEANS B IY1 N Z +BEANTOWN B IY1 N - T AW2 N +BEAR B EH1 R +BEAR'S B EH1 R Z +BEARA B EH1 - R AH0 +BEARABLE B EH1 - R AH0 - B AH0 L +BEARCE B ER1 S +BEARD B IH1 R D +BEARDED B IH1 R - D AH0 D +BEARDEN B IH1 R - D AH0 N +BEARDMORE B IH1 R D - M AO2 R +BEARDS B IH1 R D Z +BEARDSLEE B IH1 R D Z - L IY0 +BEARDSLEY B IH1 R D Z - L IY0 +BEARDSTOWN B IH1 R D - S T AW2 N +BEARE B IH1 R +BEARER B EH1 - R ER0 +BEARERS B EH1 - R ER0 Z +BEARFIELD B ER1 - F IY0 L D +BEARING B EH1 - R IH0 NG +BEARINGS B EH1 - R IH0 NG Z +BEARISH B EH1 - R IH0 SH +BEARISHLY B EH1 - R IH0 SH - L IY0 +BEARISHNESS B EH1 - R IH0 SH - N AH0 S +BEARMAN B EH1 R - M AH0 N +BEARS B EH1 R Z +BEARS' B EH1 R Z +BEARSE B ER1 S +BEARSS B ER1 S +BEARUP B EH1 - R AH0 P +BEARY B IH1 - R IY0 +BEAS B IY1 Z +BEASLEY B IY1 Z - L IY0 +BEASON B IY1 - Z AH0 N +BEAST B IY1 S T +BEASTIE B IY1 - S T IY0 +BEASTON B IY1 - S T AH0 N +BEASTS B IY1 S T S +BEAT B IY1 T +BEATA B IY0 - AE1 - T AH0 +BEATEN B IY1 - T AH0 N +BEATER B IY1 - T ER0 +BEATERS B IY1 - T ER0 Z +BEATIE B IY1 - T IY0 +BEATING B IY1 - T IH0 NG +BEATINGS B IY1 - T IH0 NG Z +BEATLE B IY1 - T AH0 L +BEATLES B IY1 - T AH0 L Z +BEATLES' B IY1 - T AH0 L Z +BEATNIK B IY1 T - N IH0 K +BEATNIKS B IY1 T - N IH0 K S +BEATO B IY0 - AE1 - T OW0 +BEATON B IY1 - T AH0 N +BEATRICE B IY1 - AH0 - T R AH0 S +BEATRICE'S B IY1 - AH0 - T R IH0 - S IH0 Z +BEATRICE'S(2) B IY1 - T R IH0 - S IH0 Z +BEATRICE(2) B IY1 - AH0 - T R IH0 S +BEATRICE(3) B IY1 - T R AH0 S +BEATRICE(4) B IY1 - T R IH0 S +BEATRIX B IY1 - T R IH0 K S +BEATRIX(2) B IY1 - AH0 - T R IH0 K S +BEATS B IY1 T S +BEATSON B IY1 T - S AH0 N +BEATTIE B IY1 - T IY0 +BEATTY B IY1 - T IY0 +BEATTY(2) B EY1 - T IY0 +BEATY B IY1 - T IY0 +BEAU B OW1 +BEAUBIEN B OW0 - B IY1 N +BEAUCAGE B OW1 - K EY2 JH +BEAUCE B OW1 - S IY2 +BEAUCHAINE B OW2 - SH EY1 N +BEAUCHAMP B OW1 - SH AA2 M P +BEAUCHEMIN B OW1 - SH IH0 - M AE0 N +BEAUCHENE B OW2 - SH IY1 N +BEAUCHESNE B OW0 - SH EH1 N +BEAUDET B OW0 - D EH1 T +BEAUDETTE B OW2 - D EH1 T +BEAUDIN B OW0 - D AE1 N +BEAUDOIN B OW0 - D OY1 N +BEAUDREAU B OW2 - D R OW1 +BEAUDRY B OW0 - D R IY1 +BEAUFORD B OW0 - F AO1 R D +BEAUFORT B OW1 - F ER0 T +BEAUFRERE B OW2 - F R EH1 R +BEAUJOLAIS B OW1 - JH OW0 - L EY2 +BEAULAC B OW0 - L AE1 K +BEAUMIER B Y UW1 - M IY0 - ER0 +BEAUMONT B OW1 - M AO0 N T +BEAUPRE B OW1 - P ER0 +BEAUREGARD B OW1 - R IH0 - G AA2 R D +BEAUREGARD(2) B AO1 - R IH0 - G AA2 R D +BEAUSOLEIL B OW1 - S AH0 - L EY0 +BEAUTICIAN B OW1 - T IH2 - SH AH0 N +BEAUTIES B Y UW1 - T IY0 Z +BEAUTIFUL B Y UW1 - T AH0 - F AH0 L +BEAUTIFULLEST B Y UW1 - T AH0 - F AH0 - L AH0 S T +BEAUTIFULLEST(2) B Y UW1 - T AH0 - F L AH0 S T +BEAUTIFULLY B Y UW1 - T AH0 - F L IY0 +BEAUTIFY B Y UW1 - T IH0 - F AY2 +BEAUTY B Y UW1 - T IY0 +BEAUVAIS B OW0 - V EY1 +BEAUX B OW1 +BEAVAN B AH0 - V AE1 N +BEAVEN B IY1 - V AH0 N +BEAVER B IY1 - V ER0 +BEAVERS B IY1 - V ER0 Z +BEAVERSON B IY1 - V ER0 - S AH0 N +BEAVERTON B IY1 - V ER0 - T AH0 N +BEAVIN B IY1 - V IH0 N +BEAVIS B IY1 - V AH0 S +BEAZER B IY1 - Z ER0 +BEAZLEY B IY1 Z - L IY0 +BEBB B EH1 B +BEBBER B EH1 - B ER0 +BEBBITS B EH1 - B AH0 T S +BEBE B IY1 - B IY0 +BEBE'S B IY1 - B IY0 Z +BEBEAR B AH0 - B IH1 R +BEBEAU B IH0 - B OW1 +BEBEE B EH1 - B IY0 +BEBER B IY1 - B ER0 +BEBITCH B EH1 - B IH0 CH +BEBOP B IY1 - B AA2 P +BEBOUT B IH0 - B UW1 T +BEC B EH1 K +BECALM B IH0 - K AA1 M +BECALMED B IH0 - K AA1 M D +BECAME B IH0 - K EY1 M +BECAME(2) B IY0 - K EY1 M +BECAUSE B IH0 - K AO1 Z +BECAUSE(2) B IH0 - K AH1 Z +BECERRA B EH0 - CH EH1 - R AH0 +BECERRIL B EY0 - S EH0 - R IY1 L +BECHARD B EH1 - K ER0 D +BECHER B EH1 - K ER0 +BECHERER B EH1 - K ER0 - ER0 +BECHLER B EH1 - K L ER0 +BECHT B EH1 K T +BECHTEL B EH2 K - T EH1 L +BECHTHOLD B EH1 K - TH OW0 L D +BECHTLE B EH1 CH - T AH0 L +BECHTOL B EH1 K - T AH0 L +BECHTOLD B EH1 K - T OW2 L D +BECK B EH1 K +BECK'S B EH1 K S +BECKA B EH1 - S K AH0 +BECKEL B EH1 - K EH0 L +BECKER B EH1 - K ER0 +BECKER'S B EH1 - K ER0 Z +BECKERMAN B EH1 - K ER0 - M AH0 N +BECKERS B EH1 - K ER0 Z +BECKERT B EH1 - K ER0 T +BECKET B EH1 - K AH0 T +BECKETT B EH1 - K IH0 T +BECKFORD B EH1 K - F AO0 R D +BECKHAM B EH1 K - HH AE2 M +BECKI B EH1 - K IY0 +BECKIE B EH1 - K IY0 +BECKIUS B EH1 - K IY0 - IH0 S +BECKLER B EH1 - K L ER0 +BECKLES B EH1 - K AH0 L Z +BECKLEY B EH1 K - L IY0 +BECKLUND B EH1 K - L AH0 N D +BECKMAN B EH1 K - M AH0 N +BECKMANN B EH1 K - M AH0 N +BECKMEYER B EH1 K - M AY0 - ER0 +BECKNELL B EH1 K - N EH2 L +BECKNER B EH1 K - N ER0 +BECKOM B EH1 - K AA0 M +BECKON B EH1 - K AH0 N +BECKONED B EH1 - K AH0 N D +BECKONING B EH1 - K AH0 - N IH0 NG +BECKONS B EH1 - K AH0 N Z +BECKS B EH1 K S +BECKSTEAD B EH1 K - S T EH2 D +BECKSTRAND B EH1 K - S T R AE2 N D +BECKSTROM B EH1 K - S T R AA0 M +BECKUM B EH1 - K AH0 M +BECKWITH B EH1 - K W IH2 TH +BECKWITH'S B EH1 - K W IH2 TH S +BECKWITT B EH1 - K W IH2 T +BECKWORTH B EH1 - K W ER2 TH +BECKWORTH'S B EH1 - K W ER2 TH S +BECKY B EH1 - K IY0 +BECNEL B EH1 K - N AH0 L +BECO B IY1 - K OW0 +BECOME B IH0 - K AH1 M +BECOMES B IH0 - K AH1 M Z +BECOMING B IH0 - K AH1 - M IH0 NG +BECOR B EH1 - K AO2 R +BECOR'S B EH1 - K AO2 R Z +BECRAFT B IY1 - K R AE0 F T +BECTON B EH1 K - T AH0 N +BECVAR B EH1 K - V ER0 +BED B EH1 D +BEDA B EY1 - D AH0 +BEDARD B IH0 - D AA1 R D +BEDBUG B EH1 D - B AH0 G +BEDBUGS B EH1 D - B AH0 G Z +BEDCHAMBER B EH1 D - CH EY2 M - B ER0 +BEDDED B EH1 - D IH0 D +BEDDING B EH1 - D IH0 NG +BEDDINGFIELD B EH1 - D IH0 NG - F IY2 L D +BEDDOE B EH1 - D OW0 +BEDDORS B EH1 - D ER0 Z +BEDDOW B EH1 - D OW0 +BEDE B IY1 D +BEDECK B IH0 - D EH1 K +BEDECKED B IH0 - D EH1 K T +BEDEL B IH0 - D EH1 L +BEDELL B EH1 - D AH0 L +BEDENBAUGH B EH1 - D IH0 N - B AW0 +BEDEVIL B IH0 - D EH1 - V AH0 L +BEDEVILED B IH0 - D EH1 - V AH0 L D +BEDFELLOW B EH1 D - F EH2 - L OW0 +BEDFELLOWS B EH1 D - F EH2 - L OW0 Z +BEDFORD B EH1 D - F ER0 D +BEDGOOD B EH1 D - G UH2 D +BEDIENT B IY1 - D Y IH0 N T +BEDINGER B EH1 - D IH0 - NG ER0 +BEDINGFIELD B EH1 - D IH0 NG - F IY2 L D +BEDKE B EH1 D - K IY0 +BEDLAM B EH1 D - L AH0 M +BEDLINGTON B EH1 D - L IH0 NG - T AH0 N +BEDMINSTER B EH1 D - M IH0 N - S T ER0 +BEDNAR B EH1 D - N ER0 +BEDNARCZYK B EH1 D - N ER0 - CH IH0 K +BEDNAREK B EH1 D - N AA0 - R EH0 K +BEDNARIK B EH1 D - N AA0 - R IH0 K +BEDNARSKI B EH1 D - N AA0 R S - K IY0 +BEDNARZ B EH1 D - N AA0 R Z +BEDNER B EH1 D - N ER0 +BEDNORZ B EH1 D - N AO0 R Z +BEDOLLA B EH0 - D OW1 - L AH0 +BEDORE B EH1 - D AO2 R +BEDOUIN B EH1 - D OW0 - AH0 N +BEDOUIN(2) B EH1 - D UW0 - IH2 N +BEDOUIN(3) B EH1 - D AH0 W - AH0 N +BEDOUINS B EH1 - D OW0 - AH0 N Z +BEDOUINS(2) B EH1 - D UW0 - IH2 N Z +BEDOUINS(3) B EH1 - D AH0 W - AH0 N Z +BEDOYA B EY0 - D OY1 - AH0 +BEDPAN B EH1 D - P AE2 N +BEDPANS B EH1 D - P AE2 N Z +BEDRAGGLE B IH0 - D R AE1 - G AH0 L +BEDRAGGLED B IH0 - D R AE1 - G AH0 L D +BEDRIDDEN B EH1 D - R IH2 - D AH0 N +BEDROCK B EH1 D - R AA2 K +BEDROOM B EH1 D - R UW2 M +BEDROOMS B EH1 D - R UW2 M Z +BEDROSIAN B EH0 D - R AA1 - ZH IH0 N +BEDROSIAN(2) B AH0 - D R OW1 - Z IY0 - AH0 N +BEDS B EH1 D Z +BEDSAUL B EH1 D - S AO0 L +BEDSIDE B EH1 D - S AY2 D +BEDSOLE B EH1 D - S OW2 L +BEDSPREAD B EH1 D - S P R EH2 D +BEDSTRAW B EH1 D - S T R AO2 +BEDTIME B EH1 D - T AY2 M +BEDWELL B EH1 D - W EH2 L +BEE B IY1 +BEE'S B IY1 Z +BEEBA'S B IY1 - B AH0 Z +BEEBE B IY1 - B IY2 +BEEBE'S B IY1 - B IY2 Z +BEEBES B IY1 - B IY2 Z +BEEBOWER B IY1 - B OW2 - ER0 +BEEBOWER(2) B IY1 - B AW2 - ER0 +BEEBY B IY1 - B IY0 +BEECH B IY1 CH +BEECHAM B IY1 - CH AH0 M +BEECHAM'S B IY1 - CH AH0 M Z +BEECHCRAFT B IY1 CH - K R AE2 F T +BEECHER B IY1 - CH ER0 +BEECHLER B IY1 CH - L ER0 +BEECHWOOD B IY1 CH - W UH2 D +BEECHY B IY1 - CH IY0 +BEECK B IY1 K +BEECROFT B IY1 - K R AO2 F T +BEEDE B IY1 D +BEEDIE B IY1 - D IY0 +BEEDLE B IY1 - D AH0 L +BEEDY B IY1 - D IY0 +BEEF B IY1 F +BEEFEATER B IY1 F - IY2 - T ER0 +BEEFED B IY1 F T +BEEFERMAN B IY1 - F ER0 - M AH0 N +BEEFING B IY1 - F IH0 NG +BEEFS B IY1 F S +BEEFSTEAK B IY1 F - S T EY2 K +BEEFY B IY1 - F IY0 +BEEGHLY B IY1 G - L IY0 +BEEGLE B IY1 - G AH0 L +BEEHIVE B IY1 - HH AY2 V +BEEHLER B IY1 - L ER0 +BEEK B IY1 K +BEEKEEPER B IY1 - K IY2 - P ER0 +BEEKEEPERS B IY1 - K IY2 - P ER0 Z +BEEKER B IY1 - K ER0 +BEEKMAN B IY1 K - M AH0 N +BEEKS B IY1 K S +BEEL B IY1 L +BEELER B IY1 - L ER0 +BEEM B IY1 M +BEEMAN B IY1 - M AH0 N +BEEMER B IY1 - M ER0 +BEEN B IH1 N +BEEN(2) B AH0 N +BEEN(3) B IH0 N +BEENE B IY1 N +BEENEY B IY1 - N IY0 +BEENKEN B IY1 NG - K AH0 N +BEENS B IH1 N Z +BEEP B IY1 P +BEEPER B IY1 - P ER0 +BEEPERS B IY1 - P ER0 Z +BEEPING B IY1 - P IH0 NG +BEEPS B IY1 P S +BEER B IH1 R +BEER'S B IY1 R Z +BEERBOWER B IH1 R - B OW0 - ER0 +BEERMAN B IH1 R - M AH0 N +BEERS B IH1 R Z +BEERS'S B IH1 R - Z IH0 Z +BEERY B IH1 - R IY0 +BEES B IY1 Z +BEESE B IY1 Z +BEESLEY B IY1 Z - L IY0 +BEESON B IY1 - Z AH0 N +BEET B IY1 T +BEETHOVEN B EY1 - T OW0 - V AH0 N +BEETHOVEN'S B EY1 - T OW0 - V AH0 N Z +BEETHOVENIAN B EY2 - T OW0 - V IY1 - N IY0 - AH0 N +BEETLE B IY1 - T AH0 L +BEETLEJUICE B IY1 - T AH0 L - JH UW2 S +BEETLES B IY1 - T AH0 L Z +BEETON B IY1 - T AH0 N +BEETS B IY1 T S +BEEVER B IY1 - V ER0 +BEEVERS B IY1 - V ER0 Z +BEEZLEY B IY1 Z - L IY0 +BEFALL B IH0 - F AO1 L +BEFALLEN B AH0 - F AA1 - L AH0 N +BEFALLS B IH0 - F AO1 L Z +BEFALTO B AH0 - F AA1 L - T OW0 +BEFELL B IH0 - F EH1 L +BEFFA B IH2 - F AA1 +BEFIT B IH0 - F IH1 T +BEFITS B IH0 - F IH1 T S +BEFITTING B IH0 - F IH1 - T IH0 NG +BEFORE B IH0 - F AO1 R +BEFORE(2) B IY2 - F AO1 R +BEFOREHAND B IH0 - F AO1 R - HH AE2 N D +BEFORT B EH1 - F ER0 T +BEFRIEND B IH0 - F R EH1 N D +BEFRIENDED B IH0 - F R EH1 N - D IH0 D +BEFRIENDS B IH0 - F R EH1 N D Z +BEFUDDLE B IH0 - F AH1 - D AH0 L +BEFUDDLED B IH0 - F AH1 - D AH0 L D +BEFUDDLES B IH0 - F AH1 - D AH0 L Z +BEG B EH1 G +BEGAJAH B EH0 - G AA1 - JH AH0 +BEGALA B EH0 - G AA1 - L AH0 +BEGALA'S B EH0 - G AA1 - L AH0 Z +BEGAN B IH0 - G AE1 N +BEGAN(2) B IY0 - G AE1 N +BEGAT B IH0 - G AE1 T +BEGAY B EH1 - G EY0 +BEGEL B EY1 - G AH0 L +BEGELMAN B EY1 - G AH0 L - M AH0 N +BEGEMAN B IY1 G - M AH0 N +BEGER B EH1 - G ER0 +BEGET B IH0 - G EH1 T +BEGETS B IH0 - G EH1 T S +BEGETTING B IH0 - G EH1 - T IH0 NG +BEGG B EH1 G +BEGGAR B EH1 - G ER0 +BEGGARS B EH1 - G ER0 Z +BEGGED B EH1 G D +BEGGING B EH1 - G IH0 NG +BEGGS B EH1 G Z +BEGHIN B EH1 - G IH0 N +BEGIN B IH0 - G IH1 N +BEGIN'S B IH0 - G IH1 N Z +BEGINNER B IH0 - G IH1 - N ER0 +BEGINNER'S B IH0 - G IH1 - N ER0 Z +BEGINNERS B IH0 - G IH1 - N ER0 Z +BEGINNING B IH0 - G IH1 - N IH0 NG +BEGINNINGS B IH0 - G IH1 - N IH0 NG Z +BEGINS B IH0 - G IH1 N Z +BEGLEITER B EH1 G - L AY2 - T ER0 +BEGLEITER'S B EH1 G - L AY2 - T ER0 Z +BEGLEY B EH1 G - L IY0 +BEGNAUD B IH0 G - N OW1 +BEGNOCHE B EH0 G - N OW1 - K IY0 +BEGONIA B IH0 - G OW1 - N Y AH0 +BEGONIAS B IH0 - G OW1 - N Y AH0 Z +BEGOT B IY0 - G AO1 T +BEGOTTEN B IY0 - G AO1 - T IH0 N +BEGRUDGE B IH0 - G R AH1 JH +BEGS B EH1 G Z +BEGUE B EY1 G +BEGUELIN B EY1 - G AH0 - L IH0 N +BEGUILE B IH0 - G AY1 L +BEGUILED B IH0 - G AY1 L D +BEGUILING B IH0 - G AY1 - L IH0 NG +BEGUN B IH0 - G AH1 N +BEGUN(2) B EY1 - G AH0 N +BEHALF B IH0 - HH AE1 F +BEHAN B EH1 - HH AH0 N +BEHAR B EH1 - HH ER0 +BEHAVE B IH0 - HH EY1 V +BEHAVED B IH0 - HH EY1 V D +BEHAVES B IH0 - HH EY1 V Z +BEHAVING B IH0 - HH EY1 - V IH0 NG +BEHAVIOR B IH0 - HH EY1 - V Y ER0 +BEHAVIORAL B IH0 - HH EY1 - V Y ER0 - AH0 L +BEHAVIORAL(2) B IY0 - HH EY1 - V Y ER0 - AH0 L +BEHAVIORIST B IH0 - HH EY1 - V Y ER0 - IH0 S T +BEHAVIORISTS B IH0 - HH EY1 - V Y ER0 - IH0 S T S +BEHAVIORISTS(2) B IH0 - HH EY1 - V Y ER0 - IH0 S S +BEHAVIORISTS(3) B IH0 - HH EY1 - V Y ER0 - IH0 S +BEHAVIORS B IH0 - HH EY1 - V Y ER0 Z +BEHEAD B IH0 - HH EH1 D +BEHEAD(2) B IY0 - HH EH1 D +BEHEADED B IH0 - HH EH1 - D IH0 D +BEHEADING B IH0 - HH EH1 - D IH0 NG +BEHEADINGS B IH0 - HH EH1 - D IH0 NG Z +BEHELER B EH1 - HH AH0 - L ER0 +BEHEMOTH B AH0 - HH IY1 - M AH0 TH +BEHEMOTH(2) B IY1 - HH AH0 - M AH0 TH +BEHEMOTHS B IH0 - HH IY1 - M AH0 TH S +BEHEST B IH0 - HH EH1 S T +BEHIND B IH0 - HH AY1 N D +BEHINDS B IH0 - HH AY1 N D Z +BEHL B EH1 L +BEHLE B EH1 - HH AH0 L +BEHLER B EH1 - L ER0 +BEHLING B EH1 - L IH0 NG +BEHLKE B EH1 L K +BEHM B EH1 M +BEHMER B EH1 - M ER0 +BEHN B EH1 N +BEHNE B EH1 N +BEHNER B EH1 - N ER0 +BEHNEY B EH1 - N IY0 +BEHNING B EH1 - N IH0 NG +BEHNKE B EH1 NG K +BEHNKEN B EH1 NG - K AH0 N +BEHOF B IY1 - HH AA0 F +BEHOFF B IY1 - HH AA0 F +BEHOLD B IH0 - HH OW1 L D +BEHOLDEN B IH0 - HH OW1 L - D AH0 N +BEHOLDER B IY0 - HH OW1 L - D ER0 +BEHOLDING B IH0 - HH OW1 L - D IH0 NG +BEHOOVE B IH0 - HH UW1 V +BEHOOVES B IH0 - HH UW1 V Z +BEHR B EH1 R +BEHREND B EH1 - R EH0 N D +BEHRENDS B EH1 - R EH0 N D Z +BEHRENDT B EH1 - R IH0 N T +BEHRENS B EH1 - R AH0 N Z +BEHRING B EH1 - R IH0 NG +BEHRINGER B EH1 - R IH0 - NG ER0 +BEHRINGWERKE B EH1 - R IH2 NG - W ER0 K +BEHRLE B EH1 - R AH0 L +BEHRMAN B EH1 R - M AH0 N +BEHRMANN B EH1 R - M AH0 N +BEHRNS B EH1 R N Z +BEHUNIN B EH1 - HH AH0 - N IH0 N +BEHYMER B EH1 - HH AY2 - M ER0 +BEIDAIHE B AY2 - D EY1 - HH IY0 +BEIDLEMAN B AY1 - D AH0 L - M AH0 N +BEIDLER B AY1 - D AH0 - L ER0 +BEIDLER(2) B AY1 D - L ER0 +BEIER B AY1 - ER0 +BEIERLE B AY1 - ER0 - AH0 L +BEIERSDORF B AY1 R Z - D AO2 R F +BEIGE B EY1 ZH +BEIGE'S B EY1 - ZH AH0 Z +BEIGEL B AY1 - G AH0 L +BEIGES B EY1 - ZH AH0 Z +BEIGHLEY B EY1 G - L IY0 +BEIGHTOL B EY1 - T AH0 L +BEIJER B AY1 R +BEIJING B EY2 - ZH IH1 NG +BEIJING'S B EY2 - ZH IH1 NG Z +BEIL B IY1 L +BEILENSON B AY1 - L AH0 N - S AH0 N +BEILER B AY1 - L ER0 +BEILFUSS B AY1 L - F AH0 S +BEILIN B EH1 - L IH0 N +BEILIN(2) B EY1 - L IH0 N +BEILKE B IY1 L K +BEILMAN B AY1 L - M AH0 N +BEIM B AY1 M +BEIN B IY1 N +BEIN' B IY1 - IH0 N +BEINE B IY1 N +BEING B IY1 - IH0 NG +BEING'S B IY1 - IH0 NG Z +BEINGS B IY1 - IH0 NG Z +BEINY B AY1 - N IY0 +BEIRA B EY1 - R AH0 +BEIRNE B IH1 R N +BEIRUT B EY0 - R UW1 T +BEIRUT'S B EY0 - R UW1 T S +BEISEL B AY1 - S AH0 L +BEISER B AY1 - S ER0 +BEISNER B AY1 S - N ER0 +BEISSEL B AY1 - S AH0 L +BEISWENGER B AY1 S - W IH0 N - JH ER0 +BEIT B EY1 T +BEIT(2) B AY1 T +BEITEL B AY1 - T AH0 L +BEITER B AY1 - T ER0 +BEITLER B AY1 - T AH0 L - ER0 +BEITLER(2) B AY1 T - L ER0 +BEITZ B IY1 T S +BEITZEL B AY1 T - Z AH0 L +BEJAR B EY0 - Y AA1 R +BEJARANO B EY0 - Y AA0 - R AA1 - N OW0 +BEKAA B EH0 - K AA1 +BEKAA(2) B AH0 - K AA1 +BEKAERT B AH0 - K EH1 R T +BEKER B EH1 - K ER0 +BEKER'S B EH1 - K ER0 Z +BEKINS B IY1 - K IH0 N Z +BEKKER B EH1 - K ER0 +BEKKI B EH1 - K IY0 +BEL B EH1 L +BEL'C B EH1 L K +BELA B EH1 - L AH0 +BELABOR B IH0 - L EY1 - B ER0 +BELABORED B IH0 - L EY1 - B ER0 D +BELABORES B IH0 - L EY1 - B ER0 Z +BELABORING B IH0 - L EY1 - B ER0 - IH0 NG +BELABORS B IH0 - L EY1 - B ER0 Z +BELADUR B EH2 - L AH0 - D UH1 R +BELADUR'S B EH2 - L AH0 - D UH1 R Z +BELAFONTE B EH2 - L AH0 - F AA1 N - T IY0 +BELAIR B IH0 - L EH1 R +BELAIR(2) B EH0 - L EH1 R +BELAIRE B AH0 - L EH1 R +BELAK B EH1 - L AH0 K +BELAND B EH1 - L AH0 N D +BELANGER B EH1 - L AH0 - NG ER0 +BELANOFF B EH1 - L AH0 - N AO0 F +BELARUS B EH0 - L AA1 - R AH0 S +BELASCO B EH0 - L AA1 - S K OW0 +BELATE B IH0 - L EY1 T +BELATED B IH0 - L EY1 - T IH0 D +BELATEDLY B IH0 - L EY1 - T AH0 D - L IY0 +BELCASTRO B EH0 L - K AE1 - S T R OW0 +BELCH B EH1 L CH +BELCHED B EH1 L CH T +BELCHER B EH1 L - CH ER0 +BELCHING B EH1 L - CH IH0 NG +BELCOURT B EH1 L - K AO2 R T +BELDEN B EH1 L - D AH0 N +BELDIN B EH1 L - D IH0 N +BELDING B EH1 L - D IH0 NG +BELDOCK B EH1 L - D AA2 K +BELDON B EH1 L - D AH0 N +BELEAGUER B IH0 - L IY1 - G ER0 +BELEAGUERED B IH0 - L IY1 - G ER0 D +BELEAGUERING B IH0 - L IY1 - G ER0 - IH0 NG +BELEN B EH1 - L AH0 N +BELET B EH1 - L AH0 T +BELEW B EH1 - L UW0 +BELFAST B EH1 L - F AE2 S T +BELFER B EH1 L - F ER0 +BELFIELD B EH1 L - F IY2 L D +BELFIORE B EH0 L - F IY0 - AO1 - R IY0 +BELFLOWER B EH1 L - F L AW2 - ER0 +BELFORD B EH1 L - F ER0 D +BELFRY B EH1 L - F R IY0 +BELGACOM B EH1 L - G AH0 - K AA0 M +BELGACOM(2) B EH1 L - JH AH0 - K AA0 M +BELGARD B EH0 L - G AA1 R D +BELGARDE B EH0 L - G AA1 R - D IY0 +BELGE B EH1 L - JH IY0 +BELGER B EH1 L - G ER0 +BELGIAN B EH1 L - JH AH0 N +BELGIANS B EH1 L - JH AH0 N Z +BELGIQUE B EH0 L - ZH IY1 K +BELGIQUE'S B EH0 L - JH IY1 K S +BELGIUM B EH1 L - JH AH0 M +BELGIUM'S B EH1 L - JH AH0 M Z +BELGO B EH1 L - G OW2 +BELGRADE B EH1 L - G R EY0 D +BELGRADE'S B EH1 L - G R EY0 D Z +BELGRADE'S(2) B EH1 L - G R AA2 D Z +BELGRADE(2) B EH1 L - G R AA2 D +BELGRAVE B EH1 L - G R EY2 V +BELICH B EH1 - L IH0 K +BELIE B IH0 - L AY1 +BELIED B IH0 - L AY1 D +BELIEF B IH0 - L IY1 F +BELIEFS B IH0 - L IY1 F S +BELIER B EH1 - L Y ER0 +BELIES B IH0 - L AY1 Z +BELIEVABILITY B AH0 - L IY2 - V AH0 - B IH1 - L IH0 - T IY0 +BELIEVABLE B AH0 - L IY1 - V AH0 - B AH0 L +BELIEVE B IH0 - L IY1 V +BELIEVED B IH0 - L IY1 V D +BELIEVER B AH0 - L IY1 - V ER0 +BELIEVERS B AH0 - L IY1 - V ER0 Z +BELIEVES B IH0 - L IY1 V Z +BELIEVING B IH0 - L IY1 - V IH0 NG +BELIN B EH1 - L IH0 N +BELINDA B AH0 - L IH1 N - D AH0 +BELINSKY B IH0 - L IH1 N - S K IY0 +BELISLE B EH1 - L AY0 - AH0 L +BELITTLE B IH0 - L IH1 - T AH0 L +BELITTLED B IH0 - L IH1 - T AH0 L D +BELITTLES B IH0 - L IH1 - T AH0 L Z +BELITTLING B IH0 - L IH1 - T AH0 L - IH0 NG +BELITTLING(2) B IH0 - L IH1 T - L IH0 NG +BELITZ B EH1 - L IH0 T S +BELIVEAU B EH1 - L IH0 - V OW2 +BELIZE B EH0 - L IY1 Z +BELK B EH1 L K +BELKA B EH1 L - K AH0 +BELKACEM B EH1 L - K AH0 - S AH0 M +BELKE B EH1 L K +BELKIN B EH1 L - K IH0 N +BELKNAP B EH1 L - N AE0 P +BELKO B EH1 L - K OW0 +BELL B EH1 L +BELL'S B EH1 L Z +BELLA B EH1 - L AH0 +BELLAH B EH1 - L AH0 +BELLAMY B EH1 - L AH0 - M IY0 +BELLANCA B EH0 - L AA1 N - K AH0 +BELLAND B EH1 - L AH0 N D +BELLANGER B EH1 - L AE2 NG - G ER0 +BELLANTE B EH0 - L AA1 N - T IY0 +BELLANTONI B EH0 - L AA0 N - T OW1 - N IY0 +BELLAR B EH1 - L ER0 +BELLARD B IH0 - L AA1 R D +BELLAS B EH1 - L AH0 Z +BELLAVANCE B EH0 - L AA1 - V AH0 N S +BELLAVIA B EH0 - L AA1 - V IY0 - AH0 +BELLAVISTA B EH2 - L AH0 - V IH1 - S T AH0 +BELLCORE B EH1 L - K AO2 R +BELLCORE'S B EH1 L - K AO2 R Z +BELLE B EH1 L +BELLEAU B IH0 - L OW1 +BELLEFEUILLE B EH2 - L AH0 - F IY0 - UW1 L +BELLEMARE B EH2 - L AH0 - M EH1 R +BELLER B EH1 - L ER0 +BELLEROSE B EH1 - L ER0 - AH0 Z +BELLES B EH1 L Z +BELLEVILLE B AH0 L - V IH1 L +BELLEVUE B EH1 L - V Y UW2 +BELLEW B IH0 - L UW1 +BELLFLOWER B EH1 L - F L AW2 - ER0 +BELLFLOWERS B EH1 L - F L AW2 - ER0 Z +BELLHOP B EH1 L - HH AA2 P +BELLHOPS B EH1 L - HH AA2 P S +BELLI B EH1 - L IY0 +BELLICOSE B EH1 - L AH0 - K OW2 S +BELLIED B EH1 - L IY0 D +BELLIES B EH1 - L IY0 Z +BELLIGERENCE B AH0 - L IH1 - JH ER0 - AH0 N S +BELLIGERENT B AH0 - L IH1 - JH ER0 - AH0 N T +BELLIGERENTS B AH0 - L IH1 - JH ER0 - AH0 N T S +BELLIN B EH1 - L IH0 N +BELLINA B EH0 - L IY1 - N AH0 +BELLING B EH1 - L IH0 NG +BELLINGER B EH1 - L IH0 - NG ER0 +BELLINGHAM B EH1 - L IH0 NG - HH AE2 M +BELLINGHAUSEN B EH1 - L IH0 NG - HH AW2 - Z AH0 N +BELLINI B EH0 - L IY1 - N IY0 +BELLINI'S B EH0 - L IY1 - N IY0 Z +BELLINO B EH0 - L IY1 - N OW0 +BELLIS B EH1 - L IH0 S +BELLISSIMO B EH0 - L IY0 - S IY1 - M OW0 +BELLIVEAU B EH1 - L IH0 - V OW2 +BELLIZZI B EH0 - L IY1 T - S IY0 +BELLM B EH1 L M +BELLMAN B EH1 L - M AH0 N +BELLMON B EH1 L - M AH0 N +BELLMORE B EH1 L - M AO0 R +BELLO B EH1 - L OW0 +BELLOMO B EH0 - L OW1 - M OW0 +BELLOMY B EH1 - L AH0 - M IY0 +BELLON B EH1 - L AH0 N +BELLONE B EH0 - L OW1 - N IY0 +BELLOTTI B EH0 - L OW1 - T IY0 +BELLOW B EH1 - L OW0 +BELLOW'S B EH1 - L OW0 Z +BELLOWED B EH1 - L OW0 D +BELLOWING B EH1 - L OW0 - IH0 NG +BELLOWS B EH1 - L OW0 Z +BELLROSE B EH1 L - R OW2 Z +BELLS B EH1 L Z +BELLS' B EH1 L Z +BELLSOUTH B EH1 L - S AW2 TH +BELLSOUTH'S B EH1 L - S AW2 TH S +BELLUCCI B EH0 - L UW1 - CH IY0 +BELLUOMINI B EH2 L - W OW0 - M IY1 - N IY0 +BELLVILLE B EH1 L - V IH2 L +BELLWETHER B EH1 L - W EH2 - DH ER0 +BELLWETHERS B EH1 L - W EH2 - DH ER0 Z +BELLWOOD B EH1 L - W UH2 D +BELLY B EH1 - L IY0 +BELLYACHE B EH1 - L IY0 - EY2 K +BELMAN B EH1 L - M AH0 N +BELMONT B EH1 L - M AA2 N T +BELMONTE B EH0 L - M AA1 N - T IY0 +BELMORE B EH1 L - M AO0 R +BELNAP B EH1 L - N AE2 P +BELNICK B EH1 L - N IH0 K +BELO B EH1 - L OW0 +BELOFF B EH1 - L AO2 F +BELOIT B IH0 - L OY1 T +BELONG B IH0 - L AO1 NG +BELONGED B IH0 - L AO1 NG D +BELONGIA B EH0 - L OW1 N - JH AH0 +BELONGING B IH0 - L AO1 - NG IH0 NG +BELONGINGS B IH0 - L AO1 - NG IH0 NG Z +BELONGS B IH0 - L AO1 NG Z +BELOTE B EH0 - L OW1 - T IY0 +BELOUS B EH1 - L AH0 S +BELOV B EH1 - L AA0 V +BELOVE B IH0 - L AH1 V +BELOVED B IH0 - L AH1 V D +BELOVED(2) B IH0 - L AH1 - V AH0 D +BELOW B IH0 - L OW1 +BELOW(2) B IY0 - L OW1 +BELS B EH1 L Z +BELSER B EH1 L - S ER0 +BELSHAW B EH1 L - SH AO2 +BELSHE B EH1 L SH +BELSITO B EH0 L - S IY1 - T OW0 +BELSKY B EH1 L - S K IY0 +BELSON B EH1 L - S AH0 N +BELT B EH1 L T +BELT'S B EH1 L T S +BELTED B EH1 L - T AH0 D +BELTED(2) B EH1 L - T IH0 D +BELTER B EH1 L - T ER0 +BELTH B EH1 L TH +BELTING B EH1 L - T IH0 NG +BELTON B EH1 L - T AH0 N +BELTRAM B EH1 L - T R AE2 M +BELTRAN B EH1 L - T R AH0 N +BELTS B EH1 L T S +BELTSVILLE B EH1 L T S - V IH2 L +BELTWAY B EH1 L T - W EY2 +BELTZ B EH1 L T S +BELUE B EH1 - L Y UW0 +BELUGA B IH0 - L UW1 - G AH0 +BELUSHI B EH0 - L UW1 - SH IY0 +BELVA B EY1 L - V AH0 +BELVEAL B EH1 L - V AH0 L +BELVEDERE B EH2 L - V AH0 - D IH1 R +BELVEDERE(2) B EH2 L - V IH0 - D IH1 R +BELVIA B EH1 L - V IY0 - AH0 +BELVIDERE B EH1 L - V IH0 - D IH2 R +BELVIDERE(2) B EH1 L - V IH0 - D IH2 R +BELVILLE B EH1 L - V IH2 L +BELVIN B EH1 L - V IH0 N +BELY B AH0 - L AY1 +BELYEA B EH0 - L IY1 - AH0 +BELYEU B EH2 - L IY0 - UW1 +BELYING B IH0 - L AY1 - IH0 NG +BELZ B EH1 L Z +BELZBERG B EH1 L T S - B ER0 G +BELZBERGS B EH1 L T S - B ER0 G Z +BELZBERGS' B EH1 L Z - B ER0 G Z +BELZER B EH1 L - Z ER0 +BEM B EH1 M +BEMAN B IY1 - M AH0 N +BEMBENEK B EH1 M - B IH0 - N AH0 K +BEMBRY B EH1 M - B R IY0 +BEMENT B IY1 - M AH0 N T +BEMIS B IY1 - M AH0 S +BEMISS B EH1 - M IH0 S +BEMOAN B IH0 - M OW1 N +BEMOANED B IH0 - M OW1 N D +BEMOANING B IH0 - M OW1 - N IH0 NG +BEMOANS B IH0 - M OW1 N Z +BEMUSE B IH0 - M Y UW1 Z +BEMUSED B IH0 - M Y UW1 Z D +BEMUSEMENT B EH1 - M Y UW0 S - M AH0 N T +BEN B EH1 N +BEN'S B EH1 N Z +BENA B EH1 - N AH0 +BENACKOVA B EH2 - N AH0 - K OW1 - V AH0 +BENAK B EH1 - N AH0 K +BENAMI B EH2 - N AH0 - M IY1 +BENANTY B EH0 - N AA1 N - T IY0 +BENARD B IH0 - N AA1 R D +BENASSI B EH0 - N AA1 - S IY0 +BENASULI B EH2 - N AH0 - S UW1 - L IY0 +BENATAR B EH1 - N AH0 - T ER0 +BENAVENTE B EH0 - N AA0 - V EH1 N - T IY0 +BENAVIDES B EY0 - N AA0 - V IY1 - D EH0 S +BENAVIDEZ B EY0 - N AA0 - V IY1 - D EH0 Z +BENAZIR B EH1 - N AH0 - Z IH2 R +BENBOW B EH1 N - B OW0 +BENBROOK B EH1 N - B R UH2 K +BENCE B EH1 N S +BENCH B EH1 N CH +BENCHER B EH1 N - CH ER0 +BENCHERS B EH1 N - CH ER0 Z +BENCHES B EH1 N - CH IH0 Z +BENCHLEY B EH1 N CH - L IY0 +BENCHMARK B EH1 N CH - M AA2 R K +BENCHMARK'S B EH1 N CH - M AA2 R K S +BENCHMARKS B EH1 N CH - M AA2 R K S +BENCIVENGA B EH0 N - CH IY0 - V EH1 NG - G AH0 +BENCOMO B EH0 N - K OW1 - M OW0 +BENCSIK B EH1 NG K - S IH0 K +BEND B EH1 N D +BENDA B EH1 N - D AH0 +BENDALL B EH1 N - D AH0 L +BENDECTIN B EH0 N - D EH1 K - T IH0 N +BENDED B EH1 N - D IH0 D +BENDEL B EH1 N - D AH0 L +BENDEL(2) B EH2 N - D EH1 L +BENDELE B EH1 N - D AH0 L +BENDER B EH1 N - D ER0 +BENDER'S B EH1 N - D ER0 Z +BENDERS B EH1 N - D ER0 Z +BENDICK B EH1 N - D IH0 K +BENDICKSON B EH1 N - D IH0 K - S AH0 N +BENDIG B EH1 N - D IH0 G +BENDING B EH1 N - D IH0 NG +BENDIX B EH1 N - D IH0 K S +BENDIXEN B IH0 N - D IH1 K - S AH0 N +BENDLER B EH1 N D - L ER0 +BENDORF B EH1 N - D AO0 R F +BENDS B EH1 N D Z +BENDT B EH1 N T +BENDURE B EY0 N - D UH1 - R EY0 +BENE B EH1 - N AH0 +BENEATH B IH0 - N IY1 TH +BENECKE B EH1 - N AH0 K +BENEDEK B EH1 - N AH0 - D IH0 K +BENEDETTI B EH2 - N AH0 - D EH1 - T IY0 +BENEDETTI'S B EH2 - N AH0 - D EH1 - T IY0 Z +BENEDETTO B IH0 - N AH0 - D EH1 - T OW0 +BENEDICK B EH1 - N AH0 - D IH0 K +BENEDICT B EH1 - N AH0 - D IH2 K T +BENEDICTA B EH1 - N AH0 - D IY0 K - T AH0 +BENEDICTINE B EH2 - N AH0 - D IH1 K - T IY0 N +BENEDICTINE'S B EH2 - N AH0 - D IH1 K - T IY0 N Z +BENEDICTINES B EH2 - N AH0 - D IH1 K - T IY0 N Z +BENEDICTION B EH2 - N AH0 - D IH1 K - SH AH0 N +BENEDIKT B EH1 - N AH0 - D IH0 K T +BENEDIX B EH1 - N AH0 - D IH0 K S +BENEFACTOR B EH1 - N AH0 - F AE2 K - T ER0 +BENEFACTOR'S B EH1 - N AH0 - F AE2 K - T ER0 Z +BENEFACTORS B EH1 - N AH0 - F AE2 K - T ER0 Z +BENEFICENCE B AH0 - N EH1 - F AH0 - S AH0 N S +BENEFICENT B EH2 - N AH0 - F IH1 - SH AH0 N T +BENEFICIAL B EH2 - N AH0 - F IH1 - SH AH0 L +BENEFICIAL'S B EH2 - N AH0 - F IH1 - SH AH0 L Z +BENEFICIALLY B EH2 - N AH0 - F IH1 - SH AH0 - L IY0 +BENEFICIARIES B EH2 - N AH0 - F IH1 - SH IY0 - EH2 - R IY0 Z +BENEFICIARY B EH2 - N AH0 - F IH1 - SH IY0 - EH2 - R IY0 +BENEFICIARY'S B EH2 - N AH0 - F IH1 - SH IY0 - EH2 - R IY0 Z +BENEFIEL B EH1 - N AH0 - F IY0 L +BENEFIELD B EH1 - N AH0 - F IY0 L D +BENEFIT B EH1 - N AH0 - F IH0 T +BENEFITED B EH1 - N AH0 - F IH2 - T IH0 D +BENEFITING B EH1 - N AH0 - F IH0 - T IH0 NG +BENEFITS B EH1 - N AH0 - F IH0 T S +BENEFITTED B EH1 - N AH0 - F IH0 - T IH0 D +BENEFITTING B EH1 - N AH0 - F IH0 - T IH0 NG +BENEKE B EH1 - N AH0 K +BENEL B EH1 - N AH0 L +BENELUX B EH1 - N AH0 - L AH0 K S +BENENATI B IH0 - N AH0 - N AA1 - T IY0 +BENEQUITY B EH2 - N EH1 - K W AH0 - T IY0 +BENES B EH1 - N IY0 S +BENESCH B EH1 - N AH0 SH +BENESH B EH1 - N AH0 SH +BENETTI B EH0 - N EH1 - T IY0 +BENETTON B EH1 - N AH0 - T AH0 N +BENETTON'S B EH1 - N AH0 - T AH0 N Z +BENETTON'S(2) B EH1 - N AH0 - T AO0 N Z +BENETTON(2) B EH1 - N AH0 - T AO0 N +BENEVENTO B EH1 - N AH0 - V EY0 N - T OW0 +BENEVIDES B EH1 - N AH0 - V IY0 - D EH0 S +BENEVOLENCE B AH0 - N EH1 - V AH0 - L AH0 N S +BENEVOLENT B AH0 - N EH1 - V AH0 - L AH0 N T +BENEZRA B EH1 - N AH0 - Z R AH0 +BENFER B EH1 N - F ER0 +BENFIELD B EH1 N - F IY0 L D +BENFORD B EH1 N - F ER0 D +BENGAL B EH1 NG - G AH0 L +BENGALI B EH0 NG - G AA1 - L IY0 +BENGALIS B EH0 NG - G AA1 - L IY0 Z +BENGALS B EH1 NG - G AH0 L Z +BENGE B EH1 N JH +BENGEL B EH1 NG - G AH0 L +BENGOECHEA B EH2 NG - G OW0 - EH0 - CH IY1 - AH0 +BENGOECHEA(2) B EH2 NG - G OW0 - CH IY1 - AH0 +BENGSTON B EH1 NG G - S T AH0 N +BENGT B EH1 NG K T +BENGTSON B EH1 NG T - S AH0 N +BENGUET B EH1 NG - G AH0 T +BENHAM B EH1 N - HH AH0 M +BENHAMOU B EH2 N - HH AH0 - M UW1 +BENI B EH1 - N IY0 +BENIGHTED B IH0 - N AY1 - T IH0 D +BENIGN B IH0 - N AY1 N +BENIGNA B EH0 - N IY1 G - N AH0 +BENIGNLY B AH0 - N AY1 N - L IY0 +BENIGNO B EH2 - N IY1 - N Y OW0 +BENIGNO(2) B EH1 - N IH0 G - N OW0 +BENIHANA B EH2 - N IH0 - HH AA1 - N AH0 +BENIHANA(2) B EH2 - N IY0 - HH AA1 - N AH0 +BENIN B IY1 - N IH0 N +BENINATI B EH0 - N IY0 - N AA1 - T IY0 +BENINCASA B EH0 - N IY0 N - K AA1 - S AH0 +BENING B EH1 - N IH0 NG +BENISH B EH1 - N IH0 SH +BENITA B AH0 - N IY1 - T AH0 +BENITES B EH1 - N AY0 T S +BENITEZ B EY0 - N IY1 - T EH0 Z +BENITO B EH0 - N IY1 - T OW0 +BENITO(2) B AH0 - N IY1 - T OW0 +BENITO(3) B IH0 - N IY1 - T OW2 +BENJAMIN B EH1 N - JH AH0 - M AH0 N +BENJAMIN'S B EH1 N - JH AH0 - M AH0 N Z +BENJIMEN B EH1 N - JH AH0 - M IH0 N +BENJY B EH1 N - JH IY0 +BENKE B EH1 NG K +BENKER B EH1 NG - K ER0 +BENKERT B EH1 NG - K ER0 T +BENKO B EH1 NG - K OW0 +BENLATE B EH1 - N L EY2 T +BENLOX B EH1 N - L AA0 K S +BENN B EH1 N +BENNARDO B AH0 - N AA1 R - D OW0 +BENNE B EH1 N +BENNEFIELD B EH1 - N IH0 - F IY0 L D +BENNER B EH1 - N ER0 +BENNET B EH1 - N IH0 T +BENNETT B EH1 - N AH0 T +BENNETT'S B EH1 - N AH0 T S +BENNETT(2) B EH1 - N IH0 T +BENNETTE B IH0 - N EH1 T +BENNETTS B EH1 - N IH0 T S +BENNEY B EH1 - N IY0 +BENNICK B EH1 - N IH0 K +BENNIE B EH1 - N IY0 +BENNIGAN B EH1 - N IH0 - G AH0 N +BENNIGAN'S B EH1 - N IH0 - G AH0 N Z +BENNING B EH1 - N IH0 NG +BENNINGER B EH1 - N IH0 - NG ER0 +BENNINGFIELD B EH1 - N IH0 NG - F IY0 L D +BENNINGHOFF B EH1 - N IH0 NG - HH AO2 F +BENNINGTON B EH1 - N IH0 NG - T AH0 N +BENNINK B EH1 - N IH0 NG K +BENNION B EH1 - N Y AH0 N +BENNIS B EH1 - N IH0 S +BENNISON B EH1 - N IH0 - S AH0 N +BENNITT B EH1 - N IH0 T +BENNO B EH1 - N OW0 +BENNY B EH1 - N IY0 +BENO B EY1 - N OW0 +BENOIST B IY1 - N OW0 - IH0 S T +BENOIT B AH0 - N OY1 T +BENONI B EH0 - N OW1 - N IY0 +BENOWITZ B EH1 - N AH0 - W IH0 T S +BENOY B EH1 - N OY0 +BENS B EH1 N Z +BENSALEM B EH2 N - S EY1 - L AH0 M +BENSCH B EH1 N SH +BENSCOTER B EH1 N - S K AH0 - T ER0 +BENSEL B EH1 N - S AH0 L +BENSEN B EH1 N - S AH0 N +BENSHOOF B EH1 N - SH UH0 F +BENSING B EH1 N - S IH0 NG +BENSINGER B EH1 N - S IH0 N - JH ER0 +BENSKIN B EH1 N - S K IH0 N +BENSLEY B EH1 N S - L IY0 +BENSMAN B EH1 N - S M AH0 N +BENSON B EH1 N - S AH0 N +BENSON'S B EH1 N - S AH0 N Z +BENSONHURST B EH1 N - S AH0 N - HH ER0 S T +BENSTOCK B EH1 N - S T AA2 K +BENT B EH1 N T +BENTE B EH1 N T +BENTEN B EH1 - T IH0 N +BENTER B EH1 N - T ER0 +BENTHALL B EH1 N - TH AH0 L +BENTIVEGNA B EH0 N - T IY0 - V EH1 G - N AH0 +BENTLER B EH1 N T - L ER0 +BENTLEY B EH1 N T - L IY0 +BENTLEY'S B EH1 N T - L IY0 Z +BENTLY B EH1 N T - L IY0 +BENTO B EH1 N - T OW0 +BENTON B EH1 N - T AH0 N +BENTONITE B EH1 N - T AH0 - N AY2 T +BENTONVILLE B EH1 N - T AH0 N - V IH2 L +BENTSEN B EH1 N T - S AH0 N +BENTSEN'S B EH1 N T - S AH0 N Z +BENTSON B EH1 N T - S AH0 N +BENTZ B EH1 N T S +BENTZEL B EH1 N T - Z AH0 L +BENTZEN B EH1 N T - Z AH0 N +BENVENISTE B EH0 N - V EH0 - N IY1 - S T IY0 +BENVENUTI B EH0 N - V EH0 - N UW1 - T IY0 +BENVENUTO B EH0 N - V EH0 - N UW1 - T OW0 +BENWARE B EH1 N - W EH0 R +BENWAY B EH1 N - W EY2 +BENYAMIN B EH2 - N Y AH0 - M IY1 N +BENYO B EY1 - N Y OW0 +BENZ B EH1 N Z +BENZ'S B EH1 N - Z IH0 Z +BENZ(2) B AE1 N Z +BENZEL B EH1 N - Z AH0 L +BENZENE B EH0 N - Z IY1 N +BENZENE(2) B EH1 N - Z IY0 N +BENZES B EH1 N - Z IH0 Z +BENZIE B EH1 N - Z IY0 +BENZIGER B EH1 N - Z IH0 - G ER0 +BENZINE B EH1 N - Z IY0 N +BENZING B EH1 N - Z IH0 NG +BENZINGER B EH1 N - Z IH0 - NG ER0 +BEOUGHER B AW1 - F ER0 +BEOWULF B EY1 - AH0 W - UH2 L F +BEQUEATH B IH0 - K W IY1 TH +BEQUEATHED B AH0 - K W IY1 TH T +BEQUEST B IH0 - K W EH1 S T +BEQUESTS B IH0 - K W EH1 S T S +BEQUESTS(2) B IH0 - K W EH1 S S +BEQUESTS(3) B IH0 - K W EH1 S +BEQUETTE B IH0 - K EH1 T +BERA B EH1 - R AH0 +BERAN B EH1 - R AH0 N +BERANEK B EH1 - R AH0 - N IH0 K +BERARD B ER0 - AA1 R D +BERARDI B ER0 - AA1 R - D IY0 +BERARDINELLI B ER0 - AA0 R - D IY0 - N EH1 - L IY0 +BERARDINO B ER0 - AA0 R - D IY1 - N OW0 +BERARDO B ER0 - AA1 R - D OW0 +BERARDUCCI B ER0 - AA0 R - D UW1 - CH IY0 +BERATE B IH0 - R EY1 T +BERATED B IH0 - R EY1 - T IH0 D +BERATING B IH0 - R EY1 - T IH0 NG +BERBER B ER1 - B ER0 +BERBERIAN B ER0 - B IH1 - R IY0 - AH0 N +BERBERICH B ER1 - B ER0 - IH0 K +BERBICK B ER1 - B IH0 K +BERCAW B ER1 - K AO0 +BERCH B ER1 K +BERCHENALL B ER1 - K AH0 - N AA2 L +BERCHTOLD B ER1 K - T OW0 L D +BERCIER B ER1 - K IY0 - ER0 +BERCOR B ER1 - K AO2 R +BERDAHL B ER1 - D AA0 L +BERDAN B ER1 - D AH0 N +BERDINE B ER0 - D IY1 - N IY0 +BERE B IH1 R +BEREA B ER0 - IY1 - AH0 +BEREAVE B ER0 - IY1 V +BEREAVED B ER0 - IY1 V D +BEREAVEMENT B ER0 - IY1 V - M AH0 N T +BEREFT B ER0 - EH1 F T +BEREGOVOY B ER0 - EH1 - G AH0 - V OY2 +BEREGOVOY(2) B EH2 - R AH0 - G OW1 - V OY2 +BEREGOVOY(3) B EH2 - R EH1 - G AH0 - V OY2 +BEREND B EH1 - R EH0 N D +BERENDS B EH1 - R EH0 N D Z +BERENDT B EH1 - R IH0 N T +BERENDZEN B EH1 - R IH0 N D - Z AH0 N +BERENS B IH1 - R AH0 N Z +BERENSON B EH1 - R IH0 N - S AH0 N +BERENT B EH1 - R AH0 N T +BERES B IY1 R Z +BERESFORD B IH1 R Z - F ER0 D +BERET B EH1 - R AH0 T +BERET(2) B EH1 - R EY0 T +BERETS B EH1 - R AH0 T S +BERETS(2) B EH1 - R EY0 Z +BERETTA B ER0 - EH1 - T AH0 +BERETTAS B ER0 - EH1 - T AH0 S +BEREZINE B IH1 - R AH0 - Z IY0 N +BEREZINE(2) B IH1 - R AH0 - Z AY0 N +BERG B ER1 G +BERG'S B ER1 G Z +BERGAMINI B ER0 - G AA0 - M IY1 - N IY0 +BERGAMO B ER0 - G AA1 - M OW0 +BERGAN B ER1 - G AH0 N +BERGDAHL B ER1 G - D AA0 L +BERGDOLL B ER1 G - D AA2 L +BERGDORF B ER1 G - D AO2 R F +BERGE B ER1 JH +BERGEMAN B ER1 G - M AH0 N +BERGEMANN B ER1 G - M AH0 N +BERGEN B ER1 - G AH0 N +BERGENDAHL B ER1 - G EH0 N - D AA0 L +BERGENFIELD B ER1 - G AH0 N - F IY2 L D +BERGENTHAL B ER1 - G AH0 N - TH AA2 L +BERGER B ER1 - G ER0 +BERGER'S B ER1 - G ER0 Z +BERGERMAN B ER1 - G ER0 - M AH0 N +BERGERON B ER1 - G ER0 - AO0 N +BERGERSON B ER1 - G ER0 - S AH0 N +BERGES B ER1 - JH IH0 Z +BERGESON B ER1 - G IH0 - S AH0 N +BERGET B ER1 - G EH0 T +BERGEVIN B ER1 - G EH0 - V IH0 N +BERGEY B ER1 - JH IY0 +BERGFELD B ER1 G - F EH0 L D +BERGGREN B ER1 - G R EH0 N +BERGH B ER1 G +BERGHOFF B ER1 G - HH AO0 F +BERGHUIS B ER1 - G HH UW0 - IH0 Z +BERGIN B ER1 - G IH2 N +BERGLAND B ER1 - G L AE2 N D +BERGLING B ER1 - G L IH0 NG +BERGLUND B ER1 - G L AH0 N D +BERGMAN B ER1 G - M AH0 N +BERGMANN B ER1 G - M AH0 N +BERGNER B ER1 G - N ER0 +BERGQUIST B ER1 G - K W IH0 S T +BERGREN B ER1 - G R EH0 N +BERGS B ER1 G Z +BERGSCHNEIDER B ER1 G SH - N AY0 - D ER0 +BERGSMA B EH1 R G Z - M AH0 +BERGSTEDT B ER1 G - S T EH0 T +BERGSTEIN B ER1 G - S T AY2 N +BERGSTEIN(2) B ER1 G - S T IY2 N +BERGSTEN B ER1 G - S AH0 N +BERGSTRAND B ER1 G - S T R AE2 N D +BERGSTRAUSSER B ER1 G - S T R AW2 - S ER0 +BERGSTRAUSSER'S B ER1 G - S T R AW2 - S ER0 Z +BERGSTRESSER B ER1 G - S T R EH2 - S ER0 +BERGSTROM B ER1 G - S T R AA0 M +BERGTHOLD B ER1 G - TH OW2 L D +BERGUM B ER1 - G AH0 M +BERHOW B ER1 - HH OW0 +BERIA B EH1 - R IY0 - AH0 +BERING B EH1 - R IH0 NG +BERINGER B EH1 - R IH0 - NG ER0 +BERISFORD B EH1 - R IH0 S - F ER0 D +BERISH B ER1 - IH0 SH +BERJAYA B ER0 - JH AY1 - AH0 +BERK B ER1 K +BERKA B ER1 - K AH0 +BERKE B ER1 K +BERKEBILE B ER1 - K IH0 - B AH0 L +BERKEL B ER1 - K AH0 L +BERKELEY B ER1 K - L IY0 +BERKELEY'S B ER1 - K L IY0 Z +BERKELMAN B ER1 - K AH0 L - M AH0 N +BERKEMEIER B ER1 - K IH0 - M AY0 - ER0 +BERKEN B ER1 - K AH0 N +BERKERY B ER1 - K ER0 - IY0 +BERKES B ER1 K S +BERKEY B ER1 - K IY0 +BERKHEIMER B ER1 K - HH AY0 - M ER0 +BERKLAND B ER1 K - L AH0 N D +BERKLEE B ER1 K - L IY0 +BERKLEY B ER1 K - L IY0 +BERKLINE B ER1 - K L AY2 N +BERKMAN B ER1 K - M AH0 N +BERKO B ER1 - K OW0 +BERKOFF B ER1 - K AO0 F +BERKOVITZ B ER1 - K AH0 - V IH0 T S +BERKOWITZ B ER1 - K AH0 - W IH0 T S +BERKSHIRE B ER1 K - SH ER0 +BERKSHIRE(2) B ER1 K - SH AY2 R +BERKSHIRES B ER1 K - SH IH2 R Z +BERKSHIRES(2) B ER1 K - SH AY2 R Z +BERKSON B ER1 K - S AH0 N +BERKSTRESSER B ER1 K - S T R IH0 - S ER0 +BERLACK B ER1 - L AE0 K +BERLAND B ER1 - L AH0 N D +BERLANGA B ER0 - L AA1 NG - G AH0 +BERLASCONE B EH2 R - L AH0 - S K OW1 - N IY0 +BERLASCONE'S B EH2 R - L AH0 - S K OW1 - N IY0 Z +BERLE B ER1 L +BERLET B ER2 - L EH1 T +BERLET'S B ER1 - L EH1 T S +BERLEX B ER1 - L EH2 K S +BERLIN B ER0 - L IH1 N +BERLIN'S B ER0 - L IH1 N Z +BERLINER B ER0 - L IH1 - N ER0 +BERLINER(2) B ER0 - L AY1 - N ER0 +BERLINERS B ER0 - L IH1 - N ER0 Z +BERLINERS(2) B ER0 - L AY1 - N ER0 Z +BERLING B ER1 - L IH0 NG +BERLINGER B ER1 - L IH0 - NG ER0 +BERLITZ B ER0 - L IH1 T S +BERLOTTES B ER0 - L AA1 T S +BERLS B ER1 L Z +BERLUSCONI B ER2 - L AH0 - S K OW1 - N IY0 +BERLUSCONI'S B ER2 - L AH0 - S K OW1 - N IY0 Z +BERM B ER1 M +BERMAN B ER1 - M AH0 N +BERMAN'S B ER1 - M AH0 N Z +BERMANS B ER1 - M AH0 N Z +BERMEA B EH1 R - M IY0 - AH0 +BERMEL B ER1 - M AH0 L +BERMUDA B ER0 - M Y UW1 - D AH0 +BERMUDAS B ER0 - M Y UW1 - D AH0 Z +BERMUDES B ER0 - M Y UW1 D Z +BERMUDEZ B ER0 - M Y UW1 - D EH2 Z +BERMUDEZ(2) B ER2 - M Y UW1 - D EH2 Z +BERN B ER1 N +BERNA B EH1 R - N AH0 +BERNABE B ER1 - N AH0 B +BERNABEI B ER1 - N AH0 - B AY0 +BERNACKI B ER0 - N AA1 T S - K IY0 +BERNADENE B ER1 - N AH0 - D IY0 N +BERNADETTE B ER0 - N AH0 - D EH1 T +BERNADIN B ER1 - N AH0 - D IH0 N +BERNADINE B ER0 - N AH0 - D IY1 N +BERNADINO B ER2 - N AH0 - D IY1 - N OW0 +BERNAL B ER1 - N AH0 L +BERNAMA B ER0 - N AA1 - M AH0 +BERNARD B ER0 - N AA1 R D +BERNARD'S B ER0 - N AA1 R D Z +BERNARD(2) B ER1 - N ER0 D +BERNARDI B ER0 - N AA1 R - D IY0 +BERNARDIN B ER1 - N AA0 R - D IY0 N +BERNARDINI B ER0 - N AA0 R - D IY1 - N IY0 +BERNARDINO B ER0 - N AH0 - D IY1 - N OW0 +BERNARDINO(2) B ER2 - N AA0 R - D IY1 - N OW0 +BERNARDO B ER0 - N AA1 R - D OW0 +BERNARDO'S B ER0 - N AA1 R - D OW0 Z +BERNARDS B ER0 - N AA1 R D Z +BERNARDY B ER0 - N AA1 R - D IY0 +BERNAS B ER1 - N AH0 Z +BERNASCONI B ER0 - N AA0 - S K OW1 - N IY0 +BERNAT B ER1 - N AH0 T +BERNATH B ER1 - N AH0 TH +BERNAUER B ER1 - N AW0 - ER0 +BERNAY B ER0 - N EY1 +BERNBACH B ER1 N - B AA2 K +BERND B ER1 N T +BERNDT B ER1 N T +BERNE B ER1 N +BERNEICE B ER0 - N AY1 S +BERNER B ER1 - N ER0 +BERNET B ER0 - N EH1 T +BERNETT B ER1 - N IH0 T +BERNEY B ER1 - N IY0 +BERNHAGEN B ER1 N - HH AH0 - G AH0 N +BERNHARD B ER1 N - HH AA0 R D +BERNHARDT B ER1 N - HH AA0 R T +BERNHART B ER1 N - HH AA0 R T +BERNHEIM B ER1 N - HH AY0 M +BERNHEIMER B ER1 N - HH AY0 - M ER0 +BERNI B EH1 R - N IY0 +BERNIA B EH1 R - N IY0 - AH0 +BERNICE B ER0 - N IY1 S +BERNICK B ER1 - N IH0 K +BERNIE B ER1 - N IY0 +BERNIE'S B ER1 - N IY0 Z +BERNIER B ER1 - N IY0 - ER0 +BERNING B ER1 - N IH0 NG +BERNINGER B ER1 - N IH0 - NG ER0 +BERNITA B ER0 - N IY1 - T AH0 +BERNOULLI B ER0 - N UW1 - L IY0 +BERNS B ER1 N Z +BERNSEN B ER1 N - S AH0 N +BERNSON B ER1 N - S AH0 N +BERNSTEIN B ER1 N - S T AY0 N +BERNSTEIN'S B ER1 N - S T IY2 N Z +BERNSTEIN'S(2) B ER1 N - S T AY2 N Z +BERNSTEIN(2) B ER1 N - S T IY0 N +BERNSTEINS B ER1 N - S T AY0 N Z +BERNSTEINS(2) B ER1 N - S T IY0 N Z +BERNT B ER1 N T +BERNTSEN B ER1 N T - S AH0 N +BERNTSON B ER1 N T - S AH0 N +BERNY B ER1 - N IY0 +BERO B EH1 - R OW0 +BERON B EH1 - R AH0 N +BERQUIST B ER1 - K W IH0 S T +BERRA B EH1 - R AH0 +BERRA'S B EH1 - R AH0 Z +BERRARD B EH2 - R AA1 R D +BERRARD(2) B ER0 - AA1 R D +BERRES B EH1 R Z +BERRETH B EH1 - R IH0 TH +BERRETT B EH1 - R IH0 T +BERREY B EH1 - R IY0 +BERRI B EH1 - R IY0 +BERRIAN B EH1 - R IY0 - AH0 N +BERRIDGE B EH1 - R IH0 JH +BERRIE B EH1 - R IY0 +BERRIEN B EH1 - R IY0 - AH0 N +BERRIER B EH1 - R IY0 - ER0 +BERRIES B EH1 - R IY0 Z +BERRIGAN B EH1 - R IH0 - G AH0 N +BERRILL B EH1 - R AH0 L +BERRINGER B EH1 - R IH0 - NG ER0 +BERRIOS B EH0 - R IY1 - OW0 Z +BERRIS B EH1 - R IY0 Z +BERRONG B EH1 - R AO0 NG +BERRY B EH1 - R IY0 +BERRY'S B EH1 - R IY0 Z +BERRYHILL B EH1 - R IY0 - HH IH2 L +BERRYLIKE B EH1 - R IY0 - L AY2 K +BERRYMAN B EH1 - R IY0 - M AH0 N +BERSCH B ER1 SH +BERSERK B ER0 - S ER1 K +BERSHAD B ER0 - SH AA1 D +BERSON B ER1 - S AH0 N +BERST B ER1 S T +BERSTEIN B ER1 - S T IY0 N +BERSTEIN(2) B ER1 - S T AY0 N +BERT B ER1 T +BERTA B ER1 - T AH0 +BERTCH B ER1 CH +BERTE B ER1 T +BERTELLI B ER0 - T EH1 - L IY0 +BERTELS B ER1 - T AH0 L Z +BERTELSEN B ER1 - T IH0 L - S AH0 N +BERTELSMANN B ER1 - T AH0 L Z - M AH0 N +BERTELSMANN'S B ER1 - T AH0 L Z - M AH0 N Z +BERTELSON B ER1 - T IH0 L - S AH0 N +BERTH B ER1 TH +BERTHA B ER1 - TH AH0 +BERTHELOT B ER1 - TH AH0 - L AA0 T +BERTHELSEN B ER1 - TH AH0 L - S AH0 N +BERTHIAUME B ER2 - TH IY0 - UW1 - M IY0 +BERTHOLD B ER1 - TH OW2 L D +BERTHOLF B ER1 - TH OW0 L F +BERTHS B ER1 TH S +BERTHS(2) B ER1 DH Z +BERTI B EH1 R - T IY0 +BERTIE B ER1 - T IY0 +BERTIL B ER1 - T IH0 L +BERTILDE B ER1 - T IH0 L D +BERTIN B ER1 - T IH0 N +BERTINI B ER0 - T IY1 - N IY0 +BERTINO B ER0 - T IY1 - N OW0 +BERTKE B ER1 T - K IY0 +BERTLING B ER1 - T AH0 L - IH0 NG +BERTLING(2) B ER1 T - L IH0 NG +BERTOLD B ER1 - T OW0 L D +BERTOLDI B ER0 - T OW1 L - D IY0 +BERTOLI B ER0 - T OW1 - L IY0 +BERTOLINI B ER0 - T OW0 - L IY1 - N IY0 +BERTOLINO B ER0 - T OW0 - L IY1 - N OW0 +BERTOLOTTI B ER0 - T OW0 - L OW1 - T IY0 +BERTOLUCCI B ER2 - T OW0 - L UW1 - CH IY0 +BERTON B ER1 - T AH0 N +BERTONE B ER0 - T OW1 - N IY0 +BERTONI B ER0 - T OW1 - N IY0 +BERTRADE B ER1 - T R AH0 D +BERTRAM B ER1 - T R AH0 M +BERTRAN B ER1 - T R AH0 N +BERTRAND B ER1 - T R AH0 N D +BERTSCH B ER1 CH +BERTSCHE B ER1 CH +BERTUCCI B ER0 - T UW1 - CH IY0 +BERTUCCI'S B ER0 - T UW1 - CH IY0 Z +BERTY B ER1 - T IY0 +BERTZ B ER1 T S +BERUBE B EH1 - R UW0 B +BERUMEN B IH1 - R UW0 - M EH0 N +BERWALD B ER1 - W AO0 L D +BERWANGER B ER1 - W AO0 NG - ER0 +BERWICK B ER1 - W IH0 K +BERWYN B ER1 - W IH0 N +BERYL B EH1 - R AH0 L +BERYLLIUM B ER0 - IH1 - L IY0 - AH0 M +BERZIN B ER1 - Z IH0 N +BERZINS B ER1 - Z IH0 N Z +BES B IY1 Z +BESANCON B IH0 - S AE1 N - K AH0 N +BESANT B EH1 - Z AH0 N T +BESAW B IY1 - S AO0 +BESCH B EH1 SH +BESCHLOSS B EH1 SH - L AO2 S +BESCHLOSS' B EH1 SH - L AO2 S +BESCHLOSS'S B EH1 SH - L AO2 - S IH0 S +BESECKER B EH1 - S IH0 - K ER0 +BESEIGED B IH0 - S IY1 JH D +BESEMER B EH1 - S IY0 - M ER0 +BESET B IH0 - S EH1 T +BESETTING B IH0 - S EH1 - T IH0 NG +BESHARA B IH0 - SH AA1 - R AH0 +BESHAROV B EH1 - SH ER0 - AA0 V +BESHEARS B EH1 - SH IH0 R Z +BESHLOSS B EH1 SH - L AO0 S +BESHORE B EH1 - SH ER0 +BESIDE B IH0 - S AY1 D +BESIDES B IH0 - S AY1 D Z +BESIEGE B IH0 - S IY1 JH +BESIEGED B IH0 - S IY1 JH D +BESIEGING B IH0 - S IY1 - JH IH0 NG +BESKE B EH1 S K +BESLER B EH1 - S AH0 - L ER0 +BESLER(2) B EH1 S - L ER0 +BESNER B R EH1 S - N ER0 +BESNER'S B R EH1 S - N ER0 Z +BESPEAK B IH0 - S P IY1 K +BESPEAKS B IH0 - S P IY1 K S +BESPECTACLE B IH0 - S P EH1 K - T AH0 - K AH0 L +BESPECTACLED B IH0 - S P EH1 K - T AH0 - K AH0 L D +BESS B EH1 S +BESSE B EH1 S +BESSEMER B EH1 - S AH0 - M ER0 +BESSENT B EH1 - S AH0 N T +BESSER B EH1 - S ER0 +BESSERT B EH1 - S ER0 T +BESSETTE B IH0 - S EH1 T +BESSEY B EH1 - S IY0 +BESSIE B EH1 - S IY0 +BESSINGER B EH1 - S IH0 N - JH ER0 +BESSIRE B EH0 - S IH1 - R IY0 +BESSLER B EH1 S - L ER0 +BESSO B EH1 - S OW0 +BESSON B EH1 - S AH0 N +BESSY B EH1 - S IY0 +BEST B EH1 S T +BEST'S B EH1 S T S +BESTE B EH1 S T +BESTED B EH1 - S T IH0 D +BESTER B EH1 - S T ER0 +BESTIAL B EH1 - S CH AH0 L +BESTIALITY B EH0 - S CH AE1 - L IH0 - T IY0 +BESTING B EH1 - S T IH0 NG +BESTOW B IH0 - S T OW1 +BESTOWED B IH0 - S T OW1 D +BESTOWING B IH0 - S T OW1 - IH0 NG +BESTOWS B IH0 - S T OW1 Z +BESTRODE B IH0 - S T R OW1 D +BESTSELLER B EH1 S T - S EH1 - L ER0 +BESTSELLER(2) B EH1 S - S EH1 - L ER0 +BESTSELLER(3) B EH1 - S EH1 - L ER0 +BESTSELLERS B EH1 S T - S EH1 - L ER0 Z +BESTSELLERS(2) B EH1 S - S EH1 - L ER0 Z +BESTSELLERS(3) B EH1 - S EH1 - L ER0 Z +BESTSELLING B EH1 S T - S EH1 - L IH0 NG +BESTSELLING(2) B EH1 S - S EH1 - L IH0 NG +BESTSELLING(3) B EH1 - S EH1 - L IH0 NG +BESTUL B EH1 - S T AH0 L +BESTWICK B EH1 - S T W IH2 K +BESWICK B EH1 - S W IH0 K +BET B EH1 T +BET'S B EH1 T S +BETA B EY1 - T AH0 +BETAMAX B EY1 - T AH0 - M AE0 K S +BETANCOURT B EH1 - T AH0 N - K AO0 R T +BETANCUR B AH0 - T AE1 NG - K ER0 +BETAR B EH1 - T AA0 R +BETAS B EY1 - T AH0 Z +BETASERON B EY2 - T AH0 - S EH1 - R AA2 N +BETAVON B EH1 - T AH0 - V AA0 N +BETCHA B EH1 - CH AH0 +BETCHER B EH1 - CH ER0 +BETEL B EH1 - T AH0 L +BETETA B EH0 - T EY1 - T AH0 +BETH B EH1 TH +BETHANY B EH1 - TH AH0 - N IY0 +BETHARD B EH1 - TH ER0 D +BETHARDS B EH1 - TH ER0 D Z +BETHEA B EH1 - DH IY0 - AH0 +BETHEL B EH1 - TH AH0 L +BETHEL(2) B EH1 - TH EH2 L +BETHELL B EH1 - TH AH0 L +BETHESDA B AH0 - TH EH1 Z - D AH0 +BETHKE B EH1 TH K +BETHLEHEM B EH1 TH - L IH0 - HH EH2 M +BETHLEHEM'S B EH1 TH - L IH0 - HH EH2 M Z +BETHPAGE B EH2 TH - P EY1 JH +BETHUNE B AH0 - TH Y UW1 N +BETIDE B IH0 - T AY1 D +BETKE B EH1 T - K IY0 +BETKER B EH1 T - K ER0 +BETLEY B EH1 T - L IY0 +BETRAY B IH0 - T R EY1 +BETRAYAL B IH0 - T R EY1 - AH0 L +BETRAYALS B IH0 - T R EY1 - AH0 L Z +BETRAYED B IH0 - T R EY1 D +BETRAYING B IH0 - T R EY1 - IH0 NG +BETRAYS B IH0 - T R EY1 Z +BETS B EH1 T S +BETSCH B EH1 CH +BETSCHART B EH1 T S - HH AA2 R T +BETSCHART(2) B EH1 - CH AA2 R T +BETSEY B EH1 T - S IY0 +BETSILL B EH1 T - S AH0 L +BETSY B EH1 T - S IY0 +BETSY'S B EH1 T - S IY0 Z +BETT B EH1 T +BETTA B EH1 - T AH0 +BETTCHER B EH1 T - CH ER0 +BETTE B EH1 - T IY0 +BETTEN B EH1 - T AH0 N +BETTENBERG B EH1 - T AH0 N - B ER0 G +BETTENCOURT B EH1 - T IH0 N - K AO0 R T +BETTENDORF B EH1 - T IH0 N - D AO0 R F +BETTENHAUSEN B EH1 - T IH0 N - HH AW0 - Z AH0 N +BETTER B EH1 - T ER0 +BETTERED B EH1 - T ER0 D +BETTERIDGE B EH1 - T ER0 - IH0 JH +BETTERING B EH1 - T ER0 - IH0 NG +BETTERMENT B EH1 - T ER0 - M AH0 N T +BETTERS B EH1 - T ER0 Z +BETTERTON B EH1 - T ER0 - T AH0 N +BETTES B EH1 - T IY0 Z +BETTI B EH1 - T IY0 +BETTIN B EH1 - T IH0 N +BETTINA B AH0 - T IY1 - N AH0 +BETTING B EH1 - T IH0 NG +BETTINGER B EH1 - T IH0 - NG ER0 +BETTINI B EH0 - T IY1 - N IY0 +BETTINO B EH0 - T IY1 - N OW0 +BETTIS B EH1 - T IH0 S +BETTMAN B EH1 T - M AH0 N +BETTMAN'S B EH1 T - M AH0 N Z +BETTNER B EH1 T - N ER0 +BETTON B EH1 - T AH0 N +BETTOR B EH1 - T ER0 +BETTORS B EH1 - T ER0 Z +BETTS B EH1 T S +BETTY B EH1 - T IY0 +BETTY'S B EH1 - T IY0 Z +BETWEEN B IH0 - T W IY1 N +BETWEEN(2) B IY0 - T W IY1 N +BETWEENS B IH0 - T W IY1 N Z +BETWEENS(2) B IY0 - T W IY1 N Z +BETZ B EH1 T S +BETZER B EH1 T - Z ER0 +BETZLER B EH1 T S - L ER0 +BETZOLD B EH1 T - Z OW0 L D +BEU B UW1 +BEUCLER B OY1 - K AH0 - L ER0 +BEUCLER(2) B OY1 K - L ER0 +BEUKEMA B UW0 - K IY1 - M AH0 +BEULA B UW1 - L AH0 +BEULAH B Y UW1 - L AH0 +BEUMER B IY1 - AH0 - M ER0 +BEURY B ER1 - IY0 +BEURY'S B ER1 - IY0 Z +BEUTEL B Y UW0 - T EH1 L +BEUTHIN B Y UW1 - TH IH0 N +BEUTLER B OY1 - T AH0 L - ER0 +BEUTLER(2) B OY1 T - L ER0 +BEUYS B Y UW1 - IY0 Z +BEV B EH1 V +BEVACQUA B EH0 - V AA1 - K W AH0 +BEVALAQUA B EH0 - V AH0 - L AA1 - K AH0 +BEVAN B EH1 - V AH0 N +BEVANS B EH1 - V AH0 N Z +BEVAQUA B EH0 - V AA1 - K AH0 +BEVARD B IH0 - V AA1 R D +BEVEL B EH1 - V AH0 L +BEVELLED B EH1 - V AH0 L D +BEVEN B EH1 - V AH0 N +BEVENS B IY1 - V AH0 N Z +BEVER B EH1 - V ER0 +BEVERAGE B EH1 - V ER0 - IH0 JH +BEVERAGE(2) B EH1 - V R IH0 JH +BEVERAGES B EH1 - V R IH0 - JH IH0 Z +BEVERIDGE B EH1 - V ER0 - IH0 JH +BEVERLEY B EH1 - V ER0 - L IY0 +BEVERLIN B EH1 - V ER0 - L IH0 N +BEVERLY B EH1 - V ER0 - L IY0 +BEVERLY'S B EH1 - V ER0 - L IY0 Z +BEVERS B EH1 - V ER0 Z +BEVIER B EH1 - V IY0 - ER0 +BEVIL B EH1 - V AH0 L +BEVILACQUA B EH0 - V IY0 - L AA1 - K W AH0 +BEVILL B EH1 - V AH0 L +BEVILLE B IY1 - V IH0 L +BEVIN B EH1 - V IH0 N +BEVINGTON B EH1 - V IH0 NG - T AH0 N +BEVINS B EH1 - V IH0 N Z +BEVIS B EH1 - V IH0 S +BEVMARK B EH1 V - M AA2 R K +BEVY B EH1 - V IY0 +BEWARE B IH0 - W EH1 R +BEWILDER B IH0 - W IH1 L - D ER0 +BEWILDERED B IH0 - W IH1 L - D ER0 D +BEWILDERING B IH0 - W IH1 L - D ER0 - IH0 NG +BEWILDERMENT B IH0 - W IH1 L - D ER0 - M AH0 N T +BEWILDERS B IH0 - W IH1 L - D ER0 Z +BEWITCH B IH0 - W IH1 CH +BEWITCHED B IH0 - W IH1 CH T +BEWLEY B Y UW1 - L IY0 +BEXLEY B EH1 K S - L IY0 +BEY B EY1 +BEYER B EY1 - ER0 +BEYERLE B AY1 - R AH0 L +BEYERLEIN B AY1 R - L AY0 N +BEYERS B EY1 - ER0 Z +BEYERSDORF B AY1 R S - D AO0 R F +BEYL B EY1 L +BEYMER B EY1 - M ER0 +BEYNON B EY1 - N AH0 N +BEYOND B IH0 - AA1 N D +BEYOND(2) B IY2 - AO1 N D +BEYOND(3) B IH0 - AO1 N D +BEYTOUT B EY1 T - AW2 T +BEZAIRE B AH0 - Z EH1 R +BEZANSON B EH1 - Z AH0 N - S AH0 N +BEZDEK B EH1 Z - D IH0 K +BEZEK B EH1 - Z EH0 K +BEZNER B EH1 Z - N ER0 +BEZOLD B EH1 - Z OW0 L D +BHAGWAN B AA1 - G W AA0 N +BHAKTA B AA1 K - T AH0 +BHANGRA B AA1 NG - G R AH0 +BHARATA B AA2 - R AA1 - T AH0 +BHATIA B AA1 - SH AH0 +BHATIA(2) B AA1 - T Y AH0 +BHATT B AE1 T +BHATT(2) B AA1 T +BHATTACHARJY B AA2 - T AH0 - CH AA1 R - JH IY0 +BHATTI B AA1 - T IY0 +BHATTI(2) B AA1 - T IY2 +BHIKSHA B IH1 K - SH AA2 +BHIKSHA(2) B IY1 K - SH AA2 +BHIRUD B IH1 - R AH0 D +BHOPAL B OW0 - P AA1 L +BHUTAN B UW2 - T AE1 N +BHUTAN(2) B AH0 - T AA1 N +BHUTTO B UW1 - T OW0 +BHUTTO'S B UW1 - T OW0 Z +BI B AY1 +BIAGGI B IY0 - AE1 - JH IY0 +BIAGGINI B IY2 - AH0 - G IY1 - N IY0 +BIAGI B IY0 - AA1 - JH IY0 +BIAGINI B IY0 - AH0 - JH IY1 - N IY0 +BIAGIONI B IY0 - AA2 - JH IY0 - OW1 - N IY0 +BIALAS B IY0 - AA1 - L AH0 S +BIALECKI B IY0 - AH0 - L EH1 - K IY0 +BIALEK B IY0 - AA1 - L EH0 K +BIALIK B IY0 - AA1 - L IH0 K +BIALKIN B IY0 - AA1 L - K AH0 N +BIALKOWSKI B IY0 - AH0 L - K AW1 S - K IY0 +BIALY B IY0 - AA1 - L IY0 +BIAMBY B IY0 - AA1 M - B IY0 +BIAMBY'S B IY0 - AA1 M - B IY0 Z +BIAMONTE B IY0 - AH0 - M AO1 N - T IY0 +BIANA B IY0 - AA1 - N AH0 +BIANCA B IY0 - AA1 NG - K AH0 +BIANCHI B IY0 - AA1 N - CH IY0 +BIANCHINI B IY0 - AA0 N - CH IY1 - N IY0 +BIANCO B IY0 - AA1 NG - K OW0 +BIANCONI B IY0 - AA0 NG - K OW1 - N IY0 +BIANCULLI B IY0 - AA0 NG - K UW1 - L IY0 +BIANNUAL B AY0 - AE1 - N UW0 - AH0 L +BIAS B AY1 - AH0 S +BIASED B AY1 - AH0 S T +BIASES B AY1 - AH0 - S IH0 Z +BIASI B IY0 - AA1 - S IY0 +BIAXIAL B AY0 - AE1 K - S IY0 - AH0 L +BIB B IH1 B +BIBA B IY1 - B AH0 +BIBB B IH1 B +BIBBEE B IH1 - B IY1 +BIBBINS B IH1 - B IH0 N Z +BIBBO B IY1 - B OW0 +BIBBS B IH1 B Z +BIBBY B IH1 - B IY0 +BIBEAU B IH0 - B OW1 +BIBEAULT B IH0 - B OW1 +BIBEE B IH0 - B IY1 +BIBER B AY1 - B ER0 +BIBI B IH0 - B IY1 +BIBI'S B IH0 - B IY1 Z +BIBI'S(2) B IY2 - B IY1 Z +BIBI(2) B IY2 - B IY1 +BIBLE B AY1 - B AH0 L +BIBLE'S B AY1 - B AH0 L Z +BIBLER B AY1 - B AH0 L - ER0 +BIBLER(2) B AY1 - B L ER0 +BIBLES B AY1 - B AH0 L Z +BIBLICAL B IH1 - B L AH0 - K AH0 L +BIBLICAL(2) B IH1 - B L IH0 - K AH0 L +BIBLIOGRAPHIES B IH2 - B L IY0 - AA1 - G R AH0 - F IY0 Z +BIBLIOGRAPHY B IH2 - B L IY0 - AA1 - G R AH0 - F IY0 +BIBS B IH1 B Z +BIBY B AY1 - B IY0 +BIC B IH1 K +BICARBONATE B AY0 - K AA1 R - B AH0 - N AH0 T +BICE B AY1 S +BICENTENARY B AY0 - S EH1 N - T IH0 - N EH2 - R IY0 +BICENTENNIAL B AY2 - S EH0 N - T EH1 - N IY0 - AH0 L +BICEPS B AY1 - S EH2 P S +BICHLER B IH1 - K AH0 - L ER0 +BICHLER(2) B IH1 - K L ER0 +BICHSEL B IH1 K - S AH0 L +BICK B IH1 K +BICKEL B IH1 - K AH0 L +BICKELL B IH1 - K AH0 L +BICKER B IH1 - K ER0 +BICKERED B IH1 - K ER0 D +BICKERING B IH1 - K ER0 - IH0 NG +BICKERS B IH1 - K ER0 Z +BICKERSTAFF B IH1 - K ER0 - S T AE2 F +BICKERT B IH1 - K ER0 T +BICKERTON B IH1 - K ER0 - T AH0 N +BICKETT B IH1 - K IH0 T +BICKFORD B IH1 K - F ER0 D +BICKHAM B IH1 K - HH AH0 M +BICKHART B IH1 K - HH AA2 R T +BICKING B IH1 - K IH0 NG +BICKLE B IH1 - K AH0 L +BICKLER B IH1 - K L ER0 +BICKLEY B IH1 K - L IY0 +BICKMORE B IH1 K - M AO0 R +BICKNELL B IH1 K - N AH0 L +BICKNER B IH1 K - N ER0 +BICKSLER B IH1 K S - L ER0 +BICKWIT B IH1 - K W IH0 T +BICOASTAL B IH0 - K OW1 - S T AH0 L +BICUSPID B AY0 - K AH1 - S P AH0 D +BICUSPIDS B AY0 - K AH1 - S P AH0 D Z +BICYCLE B AY1 - S IH0 - K AH0 L +BICYCLED B AY1 - S IH0 - K AH0 L D +BICYCLES B AY1 - S IH0 - K AH0 L Z +BICYCLING B AY1 - S IH2 - K AH0 - L IH0 NG +BICYCLING(2) B AY1 - S IH2 - K L IH0 NG +BICYCLIST B AY1 - S IH2 - K L IH0 S T +BICYCLISTS B AY1 - S IH2 - K L IH0 S T S +BICYCLISTS(2) B AY1 - S IH2 - K L IH0 S S +BICYCLISTS(3) B AY1 - S IH2 - K L IH0 S +BID B IH1 D +BID'S B IH1 D Z +BIDCO B IH1 D - K OW0 +BIDCOS B IH1 D - K OW0 S +BIDDER B IH1 - D ER0 +BIDDER'S B IH1 - D ER0 Z +BIDDERS B IH1 - D ER0 Z +BIDDIE B IH1 - D IY0 +BIDDING B IH1 - D IH0 NG +BIDDINGER B IH1 - D IH0 - NG ER0 +BIDDISON B IH1 - D IH0 - S AH0 N +BIDDIX B IH1 - D IH0 K S +BIDDLE B IH1 - D AH0 L +BIDDLE'S B IH1 - D AH0 L Z +BIDDY B IH1 - D IY0 +BIDE B AY1 D +BIDEN B AY1 - D AH0 N +BIDERMAN B AY1 - D ER0 - M AH0 N +BIDGOOD B IH1 D - G UH2 D +BIDING B AY1 - D IH0 NG +BIDINGER B AY1 - D IH0 - NG ER0 +BIDLACK B IH1 D - L AE2 K +BIDLO B IH1 - D L OW0 +BIDLO'S B IH1 - D L OW0 Z +BIDS B IH1 D Z +BIDWELL B IH1 D - W EH2 L +BIDWILL B IH1 D - W IH2 L +BIEBEL B IY1 - B AH0 L +BIEBER B IY1 - B ER0 +BIEDA B IY1 - D AH0 +BIEDERMAN B IY1 - D ER0 - M AH0 N +BIEDERMANN B AY1 - D ER0 - M AH0 N +BIEDERMEIER B IY1 - D ER0 - M AY2 R +BIEDRZYCKI B IH0 - JH IH1 T S - K IY0 +BIEGEL B IY1 - G AH0 L +BIEGLER B IY1 - G AH0 - L ER0 +BIEGLER(2) B IY1 G - L ER0 +BIEHL B IY1 L +BIEHLE B IY1 - HH AH0 L +BIEHLER B IY1 - L ER0 +BIEHN B IY1 N +BIEKER B IY1 - K ER0 +BIEL B IY1 L +BIELA B IY1 - L AH0 +BIELAK B IY1 - L AH0 K +BIELANSKI B IY0 - L AE1 N S - K IY0 +BIELAT B IY1 - L AH0 T +BIELAWSKI B IY0 - L AA1 F S - K IY0 +BIELBY B IY1 L - B IY0 +BIELECKI B IY0 - L EH1 T S - K IY0 +BIELECKI(2) B AY0 - L EH1 - K IY0 +BIELEFELD B IY1 - L IH0 - F EH0 L D +BIELEFELDT B IY1 - L IH0 - F IH0 L T +BIELEN B IY1 - L AH0 N +BIELENBERG B IY1 - L AH0 N - B ER0 G +BIELER B IY1 - L ER0 +BIELICKI B IH0 - L IH1 T S - K IY0 +BIELINSKI B IH0 - L IH1 N - S K IY0 +BIELKE B IY1 L K +BIELSKI B IY1 L S - K IY0 +BIEN B IY1 N +BIENIEK B IH1 - N IY0 - EH0 K +BIENKOWSKI B IH0 NG - K AO1 F S - K IY0 +BIENNALE B IY0 - EH1 - N EY2 L +BIENNIAL B AY0 - EH1 - N IY0 - AH0 L +BIENSTOCK B IY1 N - S T AA2 K +BIENVENU B AH0 N - V EH1 - N UW0 +BIENVENUE B AH0 N - V EY1 N - W EH0 +BIER B IY1 R +BIERBARROR B IH1 R - B AA2 - R ER0 +BIERBAUER B IH1 R - B AW0 - ER0 +BIERBAUER'S B IH1 R - B AW0 - ER0 Z +BIERBAUM B IH1 R - B AW0 M +BIERBUSSE B IH1 R - B AH0 S +BIERCE B IH1 R S +BIERER B IH1 - R ER0 +BIERI B IH1 - R IY0 +BIERLEIN B IH1 R - L AY0 N +BIERLEY B IH1 R - L IY0 +BIERLY B IH1 R - L IY0 +BIERMA B IH1 R - M AH0 +BIERMAN B IH1 R - M AH0 N +BIERMANN B IH1 R - M AH0 N +BIERNACKI B IH0 R - N AA1 T S - K IY0 +BIERNAT B IH0 R - N AE1 T +BIERS B IY1 R Z +BIERWIRTH B IH1 R - W ER0 TH +BIERY B IH1 - R IY0 +BIES B AY1 Z +BIESECKER B IY1 - S IH0 - K ER0 +BIESER B IY1 - S ER0 +BIETZ B IY1 T S +BIEV B IY1 V +BIEV'S B IY1 V Z +BIEVER B IY1 - V ER0 +BIFANO B IH0 - F AA1 - N OW0 +BIFF B IH1 F +BIFFLE B IH1 - F AH0 L +BIFIDA B IH1 - F AH0 - D AH0 +BIFOCAL B AY1 - F OW0 - K AH0 L +BIFOCALS B AY1 - F OW0 - K AH0 L Z +BIFULCO B IH0 - F UW1 L - K OW0 +BIFURCATE B IH1 - F ER0 - K EY2 T +BIFURCATE(2) B AY1 - F ER0 - K EY2 T +BIFURCATED B IH1 - F ER0 - K EY2 - T IH0 D +BIFURCATED(2) B AY1 - F ER0 - K EY2 - T IH0 D +BIFURCATION B IH2 - F ER0 - K EY1 - SH AH0 N +BIFURCATION(2) B AY2 - F ER0 - K EY1 - SH AH0 N +BIG B IH1 G +BIGBEE B IH1 G - B IY2 +BIGBIE B IH1 G - B IY0 +BIGBY B IH1 G - B IY0 +BIGELOW B IH1 - G AH0 - L OW2 +BIGELOW'S B IH1 - G AH0 - L OW2 Z +BIGEYES B IH1 - G AY2 Z +BIGFOOT B IH1 G - F UH2 T +BIGFORD B IH1 G - F ER0 D +BIGGAR B IH1 - G ER0 +BIGGER B IH1 - G ER0 +BIGGERS B IH1 - G ER0 Z +BIGGERSTAFF B IH1 - G ER0 - S T AE2 F +BIGGEST B IH1 - G AH0 S T +BIGGIE B IH1 - G IY0 +BIGGIES B IH1 - G IY0 Z +BIGGINS B IH1 - G IH0 N Z +BIGGIO B IY1 - JH IY0 - OW0 +BIGGS B IH1 G Z +BIGHAM B AY1 G - HH AH0 M +BIGHORN B IH1 G - HH AO2 R N +BIGHORNS B IH1 G - HH AO2 R N Z +BIGLER B AY1 - G AH0 - L ER0 +BIGLER(2) B AY1 - G L ER0 +BIGLER(3) B IH1 G - L ER0 +BIGLEY B IH1 G - L IY0 +BIGLIN B IH1 - G L IH0 N +BIGLOW B IH1 - G L OW0 +BIGNELL B IH0 G - N EH1 L +BIGNESS B IH1 G - N AH0 S +BIGOS B IY1 - G OW0 Z +BIGOT B IH1 - G AH0 T +BIGOTED B IH1 - G AH0 - T IH0 D +BIGOTRY B IH1 - G AH0 - T R IY0 +BIGOTS B IH1 - G AH0 T S +BIGS B IH1 G Z +BIGSBY B IH1 G Z - B IY0 +BIGTIME B IH1 G - 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L Y ER0 D Z +BILLICK B IH1 - L IH0 K +BILLIE B IH1 - L IY0 +BILLIG B IH1 - L IH0 G +BILLING B IH1 - L IH0 NG +BILLINGER B IH1 - L IH0 - NG ER0 +BILLINGHAM B IH1 - L IH0 NG - HH AE2 M +BILLINGS B IH1 - L IH0 NG Z +BILLINGSLEA B IH1 - L IH0 NG Z - L IY0 +BILLINGSLEY B IH1 - L IH0 NG Z - L IY0 +BILLINGSLY B IH1 - L IH0 NG Z - L IY0 +BILLINGTON B IH1 - L IH0 NG - T AH0 N +BILLION B IH1 - L Y AH0 N +BILLIONAIRE B IH2 - L Y AH0 - N EH1 R +BILLIONAIRES B IH2 - L Y AH0 - N EH1 R Z +BILLIONS B IH1 - L Y AH0 N Z +BILLIONTH B IH1 - L Y AH0 N TH +BILLIONTHS B IH1 - L Y AH0 N TH S +BILLIOT B IH1 - L IY0 - AA0 T +BILLIPS B IH1 - L IH0 P S +BILLITER B IH1 - L IY0 - T ER0 +BILLITON B IH1 - L IH0 - T AH0 N +BILLMAN B IH1 L - M AH0 N +BILLMEYER B IH1 L - M AY0 - ER0 +BILLON B IH1 - L AH0 N +BILLOW B IH1 - L OW0 +BILLOWED B IH1 - L OW0 D +BILLOWING B IH1 - L OW0 - IH0 NG +BILLOWS B IH1 - L OW0 Z +BILLS B IH1 L Z +BILLS' B IH1 L Z +BILLUP B IH1 - L AH0 P +BILLUPS B IH1 - L AH0 P S +BILLY B IH1 - L IY0 +BILLY'S B IH1 - L IY0 Z +BILODEAU B IH1 - L AH0 - D OW0 +BILOTTA B IH0 - L OW1 - T AH0 +BILOTTI B IH0 - L AA1 - T IY0 +BILOW B IH1 - L OW0 +BILOXI B AH0 - L AH1 K - S IY0 +BILOXI'S B AH0 - L AH1 K - S IY0 Z +BILSKI B IH1 L S - K IY0 +BILSKY B IH1 L S - K IY0 +BILSON B IH1 L - S AH0 N +BILTMORE B IH1 L T - M AO2 R +BILTON B IH1 L - T AH0 N +BILTZ B IH1 L T S +BILY B IH1 - L IY0 +BILYEU B IH1 - L IY0 - UW0 +BILYK B IH1 - L IH0 K +BILZERIAN B IH0 L - Z EH1 - R IY0 - AH0 N +BILZERIAN'S B IH0 L - Z EH1 - R IY0 - AH0 N Z +BIMA B IY1 - M AH0 +BIMBO B IH1 M - B OW0 +BIMBOS B IH1 M - B OW0 S +BIMINI B IH1 - M AH0 - N IY0 +BIMINI(2) B IH0 - M IY1 - N IY0 +BIMIODAL B AY0 - M OW1 - D AH0 L +BIMONTHLY B AY0 - M AH1 N TH - L IY0 +BIN B IH1 N +BINA B IY1 - N AH0 +BINARY B AY1 - N ER0 - IY0 +BINATIONAL B AY0 - N AE1 - SH AH0 - N AH0 L +BIND B AY1 N D +BINDEL B IH1 N - D AH0 L +BINDER B AY1 N - D ER0 +BINDERS B AY1 N - D ER0 Z +BINDING B AY1 N - D IH0 NG +BINDLE B IH1 N - D AH0 L +BINDLES B IH1 N - D AH0 L Z +BINDLEY B IH1 N D - 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Z AO2 L +BIRDSELL B ER1 D - S AH0 L +BIRDSONG B ER1 D - S AO2 NG +BIRDWELL B ER1 D - W EH2 L +BIRDY B ER1 - D IY0 +BIREME B AY1 - R IY2 M +BIREMES B AY1 - R IY2 M Z +BIRENBAUM B AY1 - R AH0 N - B AW0 M +BIRES B AY1 R Z +BIRGE B ER1 JH +BIRINYI B IH0 - R IY1 - N Y IY0 +BIRK B ER1 K +BIRKEDAL B ER1 - K AH0 - D AA2 L +BIRKEL B ER1 - K AH0 L +BIRKELAND B ER1 K - L AH0 N D +BIRKENAU B ER1 - K AH0 - N AW0 +BIRKES B ER1 K S +BIRKETT B ER1 - K IH0 T +BIRKEY B ER1 - K IY0 +BIRKHEAD B ER1 K - HH EH0 D +BIRKHIMER B ER1 K - HH IH0 - M ER0 +BIRKHOLZ B ER1 K - HH OW0 L Z +BIRKLAND B ER1 K - L AH0 N D +BIRKNER B ER1 K - N ER0 +BIRKS B ER1 K S +BIRKY B ER1 - K IY0 +BIRLE B ER1 L +BIRLEY B ER1 - L IY0 +BIRMAN B ER1 - M AH0 N +BIRMID B ER1 - M IH0 D +BIRMID'S B ER1 - M IH0 D Z +BIRMINGHAM B ER1 - M IH0 NG - HH AE2 M +BIRNBAUM B ER1 N - B AW0 M +BIRNEY B ER1 - N IY0 +BIRNIE B ER1 - N IY0 +BIRO B IH1 - R OW0 +BIRON B AY1 - R AH0 N +BIROS B AY1 - R OW0 Z +BIRR B ER1 +BIRREN B ER1 - AH0 N +BIRT B ER1 T +BIRTCHER B ER1 - CH ER0 +BIRTH B ER1 TH +BIRTHDAY B ER1 TH - D EY2 +BIRTHDAYS B ER1 TH - D EY2 Z +BIRTHING B ER1 - TH IH0 NG +BIRTHMARK B ER1 TH - M AA2 R K +BIRTHMARKS B ER1 TH - M AA2 R K S +BIRTHPLACE B ER1 TH - P L EY2 S +BIRTHRATE B ER1 TH - R EY2 T +BIRTHRATES B ER1 TH - R EY2 T S +BIRTHRIGHT B ER1 TH - R AY2 T +BIRTHS B ER1 TH S +BIRTLE B ER1 - T AH0 L +BIRTLEY B ER1 T - L IY0 +BIRTLEY'S B ER1 T - L IY0 Z +BIS B IH1 S +BISAILLON B AY1 - S AH0 - L AA0 N +BISBEE B IH1 S - B IY0 +BISBING B IH1 S - B IH0 NG +BISCARDI B IH0 S - K AA1 R - D IY0 +BISCAYNE B IH0 - S K EY1 N +BISCEGLIA B IH0 S - CH EH1 G - L IY0 - AH0 +BISCH B IH1 SH +BISCHEL B IH1 - SH AH0 L +BISCHOF B IH1 - SH AH0 F +BISCHOFBERGER B IH1 - SH AO0 F - B ER0 - G ER0 +BISCHOFF B IH1 - S K HH AO0 F +BISCOE B IH0 - S K OW1 +BISCUIT B IH1 - S K AH0 T +BISCUITS B IH1 - S K AH0 T S +BISE B AY1 Z +BISEK B IH1 - S IH0 K +BISEL B IH1 - S AH0 L +BISER B AY1 - Z ER0 +BISESI B IH0 - S EH1 - S IY0 +BISEXUAL B AY2 - S EH1 K - SH UW0 - AH0 L +BISEXUALITY B AY2 - S EH0 K - SH UW0 - AE1 - L AH0 - T IY0 +BISEXUALS B AY2 - S EH1 K - SH UW0 - AH0 L Z +BISH B IH1 SH +BISHER B IH1 - SH ER0 +BISHOFF B IH1 S - HH AO0 F +BISHOP B IH1 - SH AH0 P +BISHOP'S B IH1 - SH AH0 P S +BISHOPRICS B IH1 - SH AH0 - P R IH0 K S +BISHOPS B IH1 - SH AH0 P S +BISHOPS' B IH1 - SH AA0 P S +BISHOPSGATE B IH1 - SH AH0 P S - G EY2 T +BISIANI B IH0 - S IY0 - AA1 - N IY0 +BISIG B IH1 - S IH0 G +BISIGNANO B IH0 - S IY0 G - N AA1 - N OW0 +BISKUP B IH1 - S K AH0 P +BISMARCK B IH1 Z - M AA2 R K +BISMARCK'S B IH1 Z - M AA2 R K S +BISMARK B IH1 Z - M AA2 R K +BISMUTH B IH1 Z - M AH0 TH +BISON B AY1 - S AH0 N +BISPING B IH1 - S P IH0 NG +BISQUE B IH1 S K +BISS B IH1 S +BISSELL B IH1 - S AH0 L +BISSEN B IH1 - S AH0 N +BISSET B IH1 - S IH0 T +BISSETT B IH1 - S IH0 T +BISSETTE B IH0 - S EH1 T +BISSEY B IH1 - S IY0 +BISSINGER B IH1 - S IH0 N - JH ER0 +BISSO B IY1 - S OW0 +BISSON B IH1 - S AH0 N +BISSONETTE B IH1 - S AH0 - N EH0 T +BISSONNETTE B IH1 - S AH0 - N EH2 T +BISTLINE B IH1 S T - L AY2 N +BISTODEAU B IH1 - S T AH0 - D OW0 +BISTRO B IH1 - S T R OW0 +BISUTEKI B IY2 - S UW0 - T EY1 - K IY0 +BISUTEKI'S B IY2 - S UW0 - T EY1 - K IY0 Z +BIT B IH1 T +BITAR B IH1 - T ER0 +BITCH B IH1 CH +BITCHES B IH1 - CH IH0 Z +BITCHY B IH1 - CH IY0 +BITE B AY1 T +BITER B AY1 - T ER0 +BITES B AY1 T S +BITESIZE B IH1 T - S AY2 Z +BITHER B IH1 - DH ER0 +BITING B AY1 - T IH0 NG +BITLER B AY1 - T AH0 L - ER0 +BITLER(2) B AY1 T - L ER0 +BITNER B IH1 T - N ER0 +BITNEY B IH1 T - N IY0 +BITS B IH1 T S +BITSY B IH1 T - S IY0 +BITTEL B IH1 - T AH0 L +BITTEN B IH1 - T AH0 N +BITTENBENDER B IH1 - T IH0 N - B EH2 N - D ER0 +BITTER B IH1 - T ER0 +BITTEREST B IH1 - T ER0 - AH0 S T +BITTERLY B IH1 - T ER0 - L IY0 +BITTERMAN B IH1 - T ER0 - M AH0 N +BITTERMAN'S B IH1 - T ER0 - M AH0 N Z +BITTERMANN B IH1 - T ER0 - M AH0 N +BITTERMANN'S B IH1 - T ER0 - M AH0 N Z +BITTERNESS B IH1 - T ER0 - N AH0 S +BITTERROOT B IH1 - T ER0 - R UW2 T +BITTERS B IH1 - T ER0 Z +BITTERSWEET B IH1 - T ER0 - S W IY2 T +BITTICK B IH1 - T IH0 K +BITTING B IH1 - T IH0 NG +BITTINGER B IH1 - T IH0 - NG ER0 +BITTLE B IH1 - T AH0 L +BITTMAN B IH1 T - M AH0 N +BITTNER B IH1 T - N ER0 +BITTON B IH1 - T AH0 N +BITTY B IH1 - T IY0 +BITUMEN B IH2 - T UW1 - M AH0 N +BITUMEN(2) B AY2 - T UW1 - M AH0 N +BITUMINOUS B IH0 - T UW1 - M AH0 - N AH0 S +BITZ B IH1 T S +BITZER B IH1 T - Z ER0 +BIVALVE B AY1 - V AE2 L V +BIVALVES B AY1 - V AE2 L V Z +BIVEN B AY1 - V AH0 N +BIVENS B AY1 - V AH0 N Z +BIVIANO B IY2 - V IY0 - AA1 - N OW0 +BIVIN B IH1 - V IH0 N +BIVINS B IH1 - V IH0 N Z +BIVONA B IH0 - V OW1 - N AH0 +BIVOUAC B IH1 V - W AE0 K +BIWEEKLY B AY0 - W IY1 K - L IY0 +BIX B IH1 K S +BIXBY B IH1 K S - B IY0 +BIXEL B IH1 K - S AH0 L +BIXLER B IH1 K S - L ER0 +BIZ B IH1 Z +BIZANGO B IH0 - Z AE1 NG - G OW0 +BIZARRE B AH0 - Z AA1 R +BIZARRE(2) B IH0 - Z AA1 R +BIZMART B IH1 Z - M AA2 R T +BIZUB B IH1 - Z AH0 B +BIZZELL B IH1 - Z AH0 L +BIZZY B IH1 - Z IY0 +BJELASNICA B Y EH0 - L AE1 S - N IH0 - K AH0 +BJELLAND B Y EH1 - L AH0 N D +BJERKE B Y ER1 K +BJOERN B Y AO1 R N +BJORGE B Y AO1 R G +BJORK B Y AO1 R K +BJORKLUND B Y AO1 R K - L AH0 N D +BJORKMAN B Y AO1 R K - M AH0 N +BJORN B Y AO1 R N +BJORNSTAD B Y AO1 R N - S T AH0 D +BLACHLY B L AA1 CH - L IY0 +BLACHLY(2) B L AA1 K - L IY0 +BLACK B L AE1 K +BLACK'S B L AE1 K S +BLACKARD B L AE1 - K ER0 D +BLACKBALL B L AE1 K - B AO2 L +BLACKBERRIES B L AE1 K - B EH2 - R IY0 Z +BLACKBERRY B L AE1 K - B EH2 - R IY0 +BLACKBIRD B L AE1 K - B ER0 D +BLACKBIRDS B L AE1 K - B ER0 D Z +BLACKBOARD B L AE1 K - B AO2 R D +BLACKBOARDS B L AE1 K - B AO2 R D Z +BLACKBURN B L AE1 K - B ER0 N +BLACKED B L AE1 K T +BLACKEN B L AE1 - K AH0 N +BLACKENED B L AE1 - K AH0 N D +BLACKENING B L AE1 - K AH0 - N IH0 NG +BLACKENING(2) B L AE1 K - N IH0 NG +BLACKENS B L AE1 - K AH0 N Z +BLACKER B L AE1 - K ER0 +BLACKERBY B L AE1 - K ER0 - B IY0 +BLACKEST B L AE1 - K AH0 S T +BLACKETER B L AE1 K - IY0 - T ER0 +BLACKETT B L AE1 - K IH0 T +BLACKFOOT B L AE1 K - F UH2 T +BLACKFORD B L AE1 K - F ER0 D +BLACKHAM B L AE1 K - HH AH0 M +BLACKHAWK B L AE1 K - HH AO2 K +BLACKHAWK'S B L AE1 K - HH AO2 K S +BLACKHAWKS B L AE1 K - HH AO2 K S +BLACKHEATH B L AE1 K - HH IY2 TH +BLACKHURST B L AE1 K - HH ER0 S T +BLACKJACK B L AE1 K - JH AE2 K +BLACKLEDGE B L AE1 K - L EH2 JH +BLACKLEY B L AE1 K - L IY0 +BLACKLIST B L AE1 K - L IH2 S T +BLACKLISTED B L AE1 K - L IH2 - S T IH0 D +BLACKLISTING B L AE1 K - L IH2 - S T IH0 NG +BLACKLOCK B L AE1 K - L AA2 K +BLACKMAIL B L AE1 K - M EY2 L +BLACKMAILED B L AE1 K - M EY2 L D +BLACKMAILING B L AE1 K - M EY2 - L IH0 NG +BLACKMAN B L AE1 K - M AH0 N +BLACKMER B L AE1 K - M ER0 +BLACKMON B L AE1 K - M AH0 N +BLACKMORE B L AE1 K - M AO0 R +BLACKMUN B L AE1 K - M AH0 N +BLACKMUN'S B L AE1 K - M AH0 N Z +BLACKNESS B L AE1 K - N AH0 S +BLACKOUT B L AE1 K - AW2 T +BLACKOUTS B L AE1 K - AW2 T S +BLACKPOOL B L AE1 K - P UW2 L +BLACKROCK B L AE1 K - R AA2 K +BLACKS B L AE1 K S +BLACKS' B L AE1 K S +BLACKSBURG B L AE1 K S - B ER0 G +BLACKSHEAR B L AE1 K - SH IH0 R +BLACKSHER B L AE1 K - SH ER0 +BLACKSHIRE B L AE1 K - SH AY2 R +BLACKSMITH B L AE1 K - S M IH2 TH +BLACKSON B L AE1 K - S AH0 N +BLACKSTOCK B L AE1 K - S T AA2 K +BLACKSTON B L AE1 K - S T AH0 N +BLACKSTONE B L AE1 K - S T OW2 N +BLACKSTONE'S B L AE1 K - S T OW2 N Z +BLACKTOP B L AE1 K - T AA2 P +BLACKWELDER B L AE1 K - W EH2 L - D ER0 +BLACKWELL B L AE1 K - W EH2 L +BLACKWOOD B L AE1 K - W UH2 D +BLADDER B L AE1 - D ER0 +BLADDERS B L AE1 - D ER0 Z +BLADE B L EY1 D +BLADED B L EY1 - D IH0 D +BLADEN B L EY1 - D AH0 N +BLADES B L EY1 D Z +BLADING B L EY1 - D IH0 NG +BLADOW B L AE1 - D OW0 +BLAESE B L EY1 Z +BLAESING B L EH1 - S IH0 NG +BLAGDEN B L AE1 G - D AH0 N +BLAGG B L AE1 G +BLAH B L AA1 +BLAHA B L AA1 - HH AH0 +BLAHNIK B L AA1 - N IH0 K +BLAHUT B L AE1 - HH AH0 T +BLAICH B L EY1 CH +BLAIKIE B L EY1 - K IY0 +BLAIN B L EY1 N +BLAINE B L EY1 N +BLAIR B L EH1 R +BLAIR'S B L EH1 R Z +BLAIS B L EH1 Z +BLAISDELL B L EY1 S - D AH0 L +BLAISE B L EY1 Z +BLAISER B L EY1 - Z ER0 +BLAIZE B L EY1 Z +BLAKE B L EY1 K +BLAKE'S B L EY1 K S +BLAKELEY B L EY1 K - L IY0 +BLAKELEY'S B L EY1 - K L IY0 Z +BLAKELY B L EY1 K - L IY0 +BLAKELY'S B L EY1 - K L IY0 Z +BLAKEMAN B L EY1 K - M AH0 N +BLAKEMORE B L EY1 K - M AO0 R +BLAKENEY B L EY1 K - N IY0 +BLAKENEY'S B L EY1 K - N IY0 Z +BLAKENHAM B L EY1 - K AH0 N - HH AE2 M +BLAKENSHIP B L EY1 - K AH0 N - SH IH0 P +BLAKER B L EY1 - K ER0 +BLAKES B L EY1 K S +BLAKESLEE B L EY1 K S - L IY0 +BLAKESLEY B L EY1 K S - L IY0 +BLAKEY B L EY1 - K IY0 +BLAKLEY B L AE1 K - L IY0 +BLAKNEY B L AE1 K - N IY0 +BLALACK B L AE1 - L AH0 K +BLALOCK B L AE1 - L AA0 K +BLAME B L EY1 M +BLAMED B L EY1 M D +BLAMELESS B L EY1 M - L AH0 S +BLAMES B L EY1 M Z +BLAMING B L EY1 - M IH0 NG +BLAMPIED B L AE1 M - P IY0 D +BLAN B L AE1 N +BLANC B L AE1 NG K +BLANCA B L AA1 NG - K AH0 +BLANCETT B L AE1 N - S IH0 T +BLANCH B L AE1 N CH +BLANCHARD B L AE1 N - CH ER0 D +BLANCHARD'S B L AE1 N - CH ER0 D Z +BLANCHARDS B L AE1 N - CH ER0 D Z +BLANCHE B L AE1 N CH +BLANCHET B L AE1 N - K IH0 T +BLANCHETT B L AE1 N - CH IH0 T +BLANCHETTE B L AH0 N - SH EH1 T +BLANCHFIELD B L AE1 N CH - F IY2 L D +BLANCK B L AE1 NG K +BLANCO B L AE1 NG - K OW0 +BLAND B L AE1 N D +BLANDA B L AE1 N - D AH0 +BLANDER B L AE1 N - D ER0 +BLANDFORD B L AE1 N D - F AO0 R D +BLANDIN B L AE1 N - D IH0 N +BLANDING B L AE1 N - D IH0 NG +BLANDINO B L AA0 N - D IY1 - N OW0 +BLANDISHMENT B L AE1 N - D IH0 SH - M AH0 N T +BLANDISHMENTS B L AE1 N - D IH0 SH - M AH0 N T S +BLANDLY B L AE1 N D - L IY0 +BLANDNESS B L AE1 N D - N AH0 S +BLANDO B L AE1 N - D OW0 +BLANDON B L AE1 N - D IH0 N +BLANE B L EY1 N +BLANEY B L EY1 - N IY0 +BLANFORD B L AE1 N - F ER0 D +BLANK B L AE1 NG K +BLANKE B L AE1 NG K +BLANKED B L AE1 NG K T +BLANKEN B L AE1 NG - K AH0 N +BLANKENBAKER B L AE1 NG - K AH0 N - B EY2 - K ER0 +BLANKENBECKLER B L AE1 NG - K AH0 N - B EH2 - K L ER0 +BLANKENBURG B L AE1 NG - K AH0 N - B ER0 G +BLANKENHORN B L AE1 NG - K IH0 N - HH ER0 N +BLANKENSHIP B L AE1 NG - K AH0 N - SH IH2 P +BLANKET B L AE1 NG - K AH0 T +BLANKET(2) B L AE1 NG - K IH0 T +BLANKETED B L AE1 NG - K AH0 - T IH0 D +BLANKETING B L AE1 NG - K AH0 - T IH0 NG +BLANKETS B L AE1 NG - K AH0 T S +BLANKING B L AE1 NG - K IH0 NG +BLANKINSHIP B L AE1 NG - K IH0 N - SH IH0 P +BLANKLEY B L AE1 NG - K L IY0 +BLANKLY B L AE1 NG - K L IY0 +BLANKLY'S B L AE1 NG - K L IY0 Z +BLANKS B L AE1 NG K S +BLANN B L AE1 N +BLANQUITA B L AA0 N - K IY1 - T AH0 +BLANSETT B L AE1 N - S IH0 T +BLANTON B L AE1 N - T AH0 N +BLARE B L EH1 R +BLARED B L EH1 R D +BLARES B L EH1 R Z +BLARING B L EH1 - R IH0 NG +BLAS B L AA1 S +BLASCHKE B L AE1 SH K +BLASCO B L AA1 - S K OW0 +BLASDEL B L AE1 S - D AH0 L +BLASDELL B L AE1 S - D AH0 L +BLASE B L EY1 Z +BLASER B L EY1 - Z ER0 +BLASI B L EY1 - Z IY0 +BLASIA B L AA1 - S IY0 - AH0 +BLASIER B L EY1 - Z IY0 - ER0 +BLASIER'S B L EY1 - Z IY0 - ER0 Z +BLASIER'S(2) B L EY1 - ZH ER0 Z +BLASIER(2) B L EY1 - ZH ER0 +BLASING B L EY1 - Z IH0 NG +BLASINGAME B L AA0 - S IH0 NG - G AA1 - M IY0 +BLASINI B L AH0 - S IY1 - N IY0 +BLASIUS B L EY1 - S IY0 - IH0 S +BLASKE B L EY1 S K +BLASKO B L AA1 - S K OW0 +BLASPHEMOUS B L AE1 S - F AH0 - M AH0 S +BLASPHEMY B L AE1 S - F AH0 - M IY0 +BLASS B L AE1 S +BLASSINGAME B L AA0 - S IH0 NG - G AA1 - M IY0 +BLAST B L AE1 S T +BLASTDOWN B L AE1 S T - D AW2 N +BLASTED B L AE1 - S T AH0 D +BLASTED(2) B L AE1 - S T IH0 D +BLASTER B L AE1 - S T ER0 +BLASTING B L AE1 - S T IH0 NG +BLASTOFF B L AE1 S T - AO2 F +BLASTS B L AE1 S T S +BLASZAK B L AA1 - SH AH0 K +BLASZCZYK B L AA1 SH - CH IH0 K +BLATANT B L EY1 - T AH0 N T +BLATANTLY B L EY1 - T AH0 N T - L IY0 +BLATCHFORD B L AE1 CH - F ER0 D +BLATCHLEY B L AE1 CH - L IY0 +BLATHER B L AE1 - DH ER0 +BLATNIK B L AE1 T - N IH0 K +BLATT B L AE1 T +BLATTER B L AE1 - T ER0 +BLATTNER B L AE1 T - N ER0 +BLATZ B L AE1 T S +BLAU B L AW1 +BLAUCH B L AO1 CH +BLAUER B L AW1 R +BLAUM B L AO1 M +BLAUSER B L AW1 - S ER0 +BLAUSTEIN B L AW1 - S T AY0 N +BLAUSTEIN(2) B L AW1 - S T IY0 N +BLAUVELT B L AW1 - V IH0 L T +BLAY B L EY1 +BLAYDES B L EY1 D Z +BLAYDON B L EY1 - D AH0 N +BLAYLOCK B L EY1 - L AH0 K +BLAYNE B L EY1 N +BLAYNEY B L EY1 - N IY0 +BLAYZE B L EY1 Z +BLAZE B L EY1 Z +BLAZED B L EY1 Z D +BLAZEJEWSKI B L AH0 - Z EY0 - EH1 F S - K IY0 +BLAZEK B L AA1 - Z EH0 K +BLAZER B L EY1 - Z ER0 +BLAZERS B L EY1 - Z ER0 Z +BLAZES B L EY1 - Z IH0 Z +BLAZIER B L EY1 - Z IY0 - ER0 +BLAZINA B L AA0 - Z IY1 - N AH0 +BLAZING B L EY1 - Z IH0 NG +BLEA B L IY1 +BLEACH B L IY1 CH +BLEACHED B L IY1 CH T +BLEACHER B L IY1 - CH ER0 +BLEACHERS B L IY1 - CH ER0 Z +BLEACHING B L IY1 - CH IH0 NG +BLEAK B L IY1 K +BLEAKER B L IY1 - K ER0 +BLEAKEST B L IY1 - K AH0 S T +BLEAKLEY B L IY1 K - L IY0 +BLEAKNESS B L IY1 K - N AH0 S +BLEAKNEY B L IY1 K - N IY0 +BLEAM B L IY1 M +BLEARY B L IH1 - R IY0 +BLEAU B L OW1 +BLECH B L EH1 K +BLECH'S B L EH1 K S +BLECHA B L EH1 - CH AH0 +BLECHER B L EH1 - K ER0 +BLECHLEY B L EH1 K - L IY0 +BLECHMAN B L EH1 K - M AH0 N +BLECK B L EH1 K +BLECKER B L EH1 - K ER0 +BLED B L EH1 D +BLEDSOE B L EH1 D - S OW0 +BLEECKER B L IY1 - K ER0 +BLEED B L IY1 D +BLEEDING B L IY1 - D IH0 NG +BLEEDS B L IY1 D Z +BLEEKER B L IY1 - K ER0 +BLEEP B L IY1 P +BLEEPING B L IY1 - P IH0 NG +BLEGEN B L EH1 - G AH0 N +BLEHM B L EH1 M +BLEICH B L AY1 K +BLEICHER B L AY1 - K ER0 +BLEIER B L AY1 - ER0 +BLEIL B L IY1 L +BLEILER B L AY1 - L ER0 +BLELLOCH B L EH1 - L AA0 K +BLEMISH B L EH1 - M IH0 SH +BLEMISHED B L EH1 - M IH0 SH T +BLEMISHES B L EH1 - M IH0 - SH IH0 Z +BLEND B L EH1 N D +BLENDA B L EH1 N - D AH0 +BLENDAX B L EH1 N - D AE2 K S +BLENDED B L EH1 N - D AH0 D +BLENDED(2) B L EH1 N - D IH0 D +BLENDER B L EH1 N - D ER0 +BLENDERS B L EH1 N - D ER0 Z +BLENDING B L EH1 N - D IH0 NG +BLENDS B L EH1 N D Z +BLENHEIM B L EH1 N - HH AY2 M +BLEPHARISMA B L EH2 - F ER0 - IH1 Z - M AH0 +BLESER B L IY1 - Z ER0 +BLESS B L EH1 S +BLESSED B L EH1 S T +BLESSES B L EH1 - S IH0 Z +BLESSING B L EH1 - S IH0 NG +BLESSINGER B L EH1 - S IH0 - NG ER0 +BLESSINGS B L EH1 - S IH0 NG Z +BLESSINGTON B L EH1 - S IH0 NG - T AH0 N +BLEST B L EH1 S T +BLETHEN B L EH1 - TH AH0 N +BLEU B L UW1 +BLEVENS B L IY1 - V AH0 N Z +BLEVINS B L EH1 - V IH0 N Z +BLEW B L UW1 +BLEWETT B L UW1 - IH0 T +BLEWITT B L UW1 - IH0 T +BLEY B L EY1 +BLICK B L IH1 K +BLICKENSTAFF B L IH1 - K IH0 N - S T AH0 F +BLIGH B L AY1 +BLIGHT B L AY1 T +BLIGHTED B L AY1 - T IH0 D +BLILEY B L AY1 - L IY0 +BLIMP B L IH1 M P +BLIMPS B L IH1 M P S +BLINCOE B L IH0 N - K OW1 +BLIND B L AY1 N D +BLINDED B L AY1 N - D IH0 D +BLINDER B L AY1 N - D ER0 +BLINDER'S B L AY1 N - D ER0 Z +BLINDERS B L AY1 N - D ER0 Z +BLINDFOLD B L AY1 N D - F OW2 L D +BLINDFOLDED B L AY1 N D - F OW2 L - D IH0 D +BLINDING B L AY1 N - D IH0 NG +BLINDLY B L AY1 N D - L IY0 +BLINDNESS B L AY1 N D - N AH0 S +BLINDNESS(2) B L AY1 N - N AH0 S +BLINDS B L AY1 N D Z +BLINDSIDE B L AY1 N D - S AY2 D +BLINDSIDED B L AY1 N D - S AY2 - D IH0 D +BLINK B L IH1 NG K +BLINKED B L IH1 NG K T +BLINKING B L IH1 NG - K IH0 NG +BLINKS B L IH1 NG K S +BLINN B L IH1 N +BLIP B L IH1 P +BLIPS B L IH1 P S +BLISCOLL B L IH1 - S K AO0 L +BLISH B L IH1 SH +BLISS B L IH1 S +BLISSETT B L IH1 - S IH0 T +BLISSFUL B L IH1 S - F AH0 L +BLISSFULLY B L IH1 S - F AH0 - L IY0 +BLISTER B L IH1 - S T ER0 +BLISTERED B L IH1 - S T ER0 D +BLISTERING B L IH1 - S T ER0 - IH0 NG +BLISTERS B L IH1 - S T ER0 Z +BLITCH B L IH1 CH +BLITHE B L AY1 DH +BLITHELY B L AY1 TH - L IY0 +BLITSTEIN B L IH1 T - S T IY0 N +BLITSTEIN(2) B L IH1 T - S T AY0 N +BLITZ B L IH1 T S +BLITZED B L IH1 T S T +BLITZER B L IH1 T - Z ER0 +BLITZER'S B L IH1 T - Z ER0 Z +BLITZES B L IH1 T - S IH0 Z +BLITZKRIEG B L IH1 T - S K R IY2 G +BLIVEN B L AY1 - V AH0 N +BLIXT B L IH1 K S T +BLIZARD B L IH1 - Z ER0 D +BLIZZARD B L IH1 - Z ER0 D +BLIZZARDS B L IH1 - Z ER0 D Z +BLOAT B L OW1 T +BLOATED B L OW1 - T IH0 D +BLOATING B L OW1 - T IH0 NG +BLOB B L AA1 B +BLOBBY B L AA1 - B IY0 +BLOBS B L AA1 B Z +BLOC B L AA1 K +BLOC'S B L AA1 K S +BLOCH B L AA1 K +BLOCH'S B L AA1 K S +BLOCHER B L AA1 - K ER0 +BLOCK B L AA1 K +BLOCK'S B L AA1 K S +BLOCKADE B L AA2 - K EY1 D +BLOCKADED B L AA2 - K EY1 - D IH0 D +BLOCKADES B L AA2 - K EY1 D Z +BLOCKADING B L AA2 - K EY1 - D IH0 NG +BLOCKAGE B L AA1 - K IH0 JH +BLOCKAGES B L AA1 - K IH0 - JH IH0 Z +BLOCKBUSTER B L AA1 K - B AH2 - S T ER0 +BLOCKBUSTER'S B L AA1 K - B AH2 - S T ER0 Z +BLOCKBUSTERS B L AA1 K - B AH2 - S T ER0 Z +BLOCKED B L AA1 K T +BLOCKER B L AA1 - K ER0 +BLOCKERS B L AA1 - K ER0 Z +BLOCKING B L AA1 - K IH0 NG +BLOCKS B L AA1 K S +BLOCS B L AA1 K S +BLODGETT B L AA1 - JH IH0 T +BLOEDEL B L OW1 - D AH0 L +BLOEDORN B L OW1 - D ER0 N +BLOEM B L OW1 M +BLOEMER B L OW1 - M ER0 +BLOEMKER B L OW1 M - K ER0 +BLOHM B L OW1 M +BLOK B L AA1 K +BLOKE B L OW1 K +BLOKES B L OW1 K S +BLOM B L AA1 M +BLOMBERG B L AA1 M - B ER0 G +BLOME B L OW1 M +BLOMGREN B L AA1 M - G R EH0 N +BLOMQUIST B L AA1 M - K W IH2 S T +BLOMSTROM B L AA1 M - S T R AH0 M +BLOND B L AA1 N D +BLONDE B L AA1 N D +BLONDE'S B L AA1 N D Z +BLONDELL B L AA1 N - D AH0 L +BLONDER B L AA1 N - D ER0 +BLONDES B L AA1 N D Z +BLONDIE B L AA1 N - D IY0 +BLONDIN B L AA1 N - D IH0 N +BLONDS B L AA1 N D Z +BLOOD B L AH1 D +BLOOD'S B L AH1 D Z +BLOODBATH B L AH1 D - B AE2 TH +BLOODED B L AH1 - D IH0 D +BLOODGOOD B L AH1 D - G UH2 D +BLOODHOUND B L AH1 D - HH AW0 N D +BLOODHOUNDS B L AH1 D - HH AW0 N D Z +BLOODHOUNDS(2) B L AH1 D - HH AW0 N Z +BLOODIED B L AH1 - D IY0 D +BLOODIER B L AH1 - D IY0 - ER0 +BLOODIEST B L AH1 - D IY0 - AH0 S T +BLOODLESS B L AH1 D - L AH0 S +BLOODLETTING B L AH1 D - L EH2 - T IH0 NG +BLOODLINE B L AH1 D - L AY2 N +BLOODLINES B L AH1 D - L AY2 N Z +BLOODS B L AH1 D Z +BLOODSHED B L AH1 D - SH EH2 D +BLOODSTAIN B L AH1 D - S T EY2 N +BLOODSTAINED B L AH1 D - S T EY2 N D +BLOODSTAINS B L AH1 D - S T EY2 N Z +BLOODSTONE B L AH1 D - S T OW2 N +BLOODSTREAM B L AH1 D - S T R IY2 M +BLOODSUCKER B L AH1 D - S AH2 - K ER0 +BLOODSUCKERS B L AH1 D - S AH2 - K ER0 Z +BLOODSUCKING B L AH1 D - S AH2 - K IH0 NG +BLOODSWORTH B L AH1 D Z - W ER2 TH +BLOODTHIRSTY B L AH1 D - TH ER2 - S T IY0 +BLOODWORTH B L AH1 D - W ER2 TH +BLOODY B L AH1 - D IY0 +BLOOM B L UW1 M +BLOOM'S B L UW1 M Z +BLOOMBERG B L UW1 M - B ER0 G +BLOOMBERG'S B L UW1 M - B ER0 G Z +BLOOMED B L UW1 M D +BLOOMER B L UW1 - M ER0 +BLOOMERS B L UW1 - M ER0 Z +BLOOMFIELD B L UW1 M - F IY2 L D +BLOOMING B L UW1 - M IH0 NG +BLOOMINGDALE B L UW1 - M IH0 NG - D EY2 L +BLOOMINGDALE'S B L UW1 - M IH0 NG - D EY2 L Z +BLOOMINGDALES B L UW1 - M IH0 NG - D EY2 L Z +BLOOMINGTON B L UW1 - M IH0 NG - T AH0 N +BLOOMQUIST B L UW1 M - K W IH2 S T +BLOOMS B L UW1 M Z +BLOOPER B L UW1 - P ER0 +BLOOPERS B L UW1 - P ER0 Z +BLOOR B L UH1 R +BLOSE B L OW1 Z +BLOSS B L AO1 S +BLOSSER B L AO1 - S ER0 +BLOSSOM B L AA1 - S AH0 M +BLOSSOMED B L AA1 - S AH0 M D +BLOSSOMING B L AA1 - S AH0 - M IH0 NG +BLOSSOMS B L AA1 - S AH0 M Z +BLOT B L AA1 T +BLOTNICK B L AA1 T - N IH0 K +BLOTS B L AA1 T S +BLOTTER B L AA1 - T ER0 +BLOUCH B L AW1 CH +BLOUGH B L AW1 +BLOUIN B L W IY1 N +BLOUNT B L AW1 N T +BLOUSE B L AW1 S +BLOUSES B L AW1 - S AH0 Z +BLOUSES(2) B L AW1 - S IH0 Z +BLOW B L OW1 +BLOWE B L OW1 +BLOWED B L OW1 D +BLOWER B L OW1 - ER0 +BLOWERS B L OW1 - ER0 Z +BLOWFISH B L OW1 - F IH0 SH +BLOWING B L OW1 - IH0 NG +BLOWN B L OW1 N +BLOWOUT B L OW1 - AW2 T +BLOWOUTS B L OW1 - AW2 T S +BLOWS B L OW1 Z +BLOWTORCH B L OW1 - T AO2 R CH +BLOWUP B L OW1 - AH2 P +BLOWY B L OW1 - IY0 +BLOXHAM B L AA1 K - S AH0 M +BLOXOM B L AA1 K - S AH0 M +BLOXSOM B L AA1 K - S AH0 M +BLOYD B L OY1 D +BLOYER B L OY1 - ER0 +BLUBAUGH B L AH1 - B AO0 +BLUBBER B L AH1 - B ER0 +BLUDGEON B L AH1 - JH AH0 N +BLUDGEONED B L AH1 - JH AH0 N D +BLUDGEONING B L AH1 - JH AH0 - N IH0 NG +BLUE B L UW1 +BLUE'S B L UW1 Z +BLUEBERRIES B L UW1 - B EH2 - R IY0 Z +BLUEBERRY B L UW1 - B EH2 - R IY0 +BLUEBIRD B L UW1 - B ER2 D +BLUEBONNET B L UW1 - B AA2 - N AH0 T +BLUEBONNETS B L UW1 - B AA2 - N AH0 T S +BLUECHIP B L UW1 - CH IH2 P +BLUEFIELD B L UW1 - F IY2 L D +BLUEGRASS B L UW1 - G R AE2 S +BLUEJAY B L UW1 - JH EY2 +BLUEMEL B L UH1 - M AH0 L +BLUEPRINT B L UW1 - P R IH2 N T +BLUEPRINTS B L UW1 - P R IH2 N T S +BLUER B L UW1 - ER0 +BLUES B L UW1 Z +BLUES' B L UW1 Z +BLUEST B L UW1 - AH0 S T +BLUESTEIN B L UH1 - S T AY0 N +BLUESTEIN(2) B L UH1 - S T IY0 N +BLUESTINE B L UW1 - S T AY2 N +BLUESTONE B L UW1 - S T OW2 N +BLUETT B L UW1 T +BLUEY B L UW1 - IY0 +BLUFF B L AH1 F +BLUFFED B L AH1 F T +BLUFFING B L AH1 - F IH0 NG +BLUFFS B L AH1 F S +BLUFORD B L UW1 - F ER0 D +BLUHDORN B L AH1 - D AO2 R N +BLUHM B L AH1 M +BLUING B L UW1 - IH0 NG +BLUISH B L UW1 - IH0 SH +BLUITT B L UW1 T +BLUM B L UW1 M +BLUMBERG B L AH1 M - B ER0 G +BLUME B L UW1 M +BLUMENBERG B L UW1 - M EH0 N - B ER0 G +BLUMENFELD B L UW1 - M IH0 N - F EH0 L D +BLUMENSCHEIN B L AH1 - M IH0 N - SH AY0 N +BLUMENSHINE B L AH1 - M IH0 N - SH AY0 N +BLUMENSTEIN B L UW1 - M EH0 N - S T AY0 N +BLUMENSTEIN(2) B L UW1 - M EH0 N - S T IY0 N +BLUMENSTOCK B L UW1 - M EH0 N - S T AA0 K +BLUMENTHAL B L UW1 - M AH0 N - TH AO2 L +BLUMER B L UW1 - M ER0 +BLUMSTEIN B L AH1 M - S T AY0 N +BLUMSTEIN(2) B L AH1 M - S T IY0 N +BLUNCK B L AH1 NG K +BLUNDALL B L AH1 N - D AH0 L +BLUNDELL B L AH1 N - D AH0 L +BLUNDER B L AH1 N - D ER0 +BLUNDERED B L AH1 N - D ER0 D +BLUNDERING B L AH1 N - D ER0 - IH0 NG +BLUNDERS B L AH1 N - D ER0 Z +BLUNK B L AH1 NG K +BLUNT B L AH1 N T +BLUNTED B L AH1 N - T AH0 D +BLUNTED(2) B L AH1 N - T IH0 D +BLUNTER B L AH1 N - T ER0 +BLUNTEST B L AH1 N - T AH0 S T +BLUNTING B L AH1 N - T IH0 NG +BLUNTLY B L AH1 N T - L IY0 +BLUNTNESS B L AH1 N T - N AH0 S +BLUNTS B L AH1 N T S +BLUR B L ER1 +BLURB B L ER1 B +BLURBS B L ER1 B Z +BLURRED B L ER1 D +BLURRING B L ER1 - IH0 NG +BLURRY B L ER1 - IY0 +BLURS B L ER1 Z +BLURT B L ER1 T +BLURTED B L ER1 - T IH0 D +BLURTON B L ER1 - T AH0 N +BLURTS B L ER1 T S +BLUSH B L AH1 SH +BLUSHED B L AH1 SH T +BLUSHES B L AH1 - SH AH0 Z +BLUSHES(2) B L AH1 - SH IH0 Z +BLUSHING B L AH1 - SH IH0 NG +BLUST B L AH1 S T +BLUSTER B L AH1 - S T ER0 +BLUSTERING B L AH1 - S T ER0 - IH0 NG +BLUSTERY B L AH1 - S T ER0 - IY0 +BLUTH B L UW1 TH +BLVD B UH1 - L AH0 - V AA2 R D +BLY B L AY1 +BLYE B L AY1 +BLYLER B L AY1 - L ER0 +BLYSTONE B L AY1 - S T OW2 N +BLYTH B L IH1 TH +BLYTHE B L AY1 DH +BO B OW1 +BO-SHEK B OW1 - SH EH1 K +BOA B OW1 - AH0 +BOAK B OW1 K +BOAKE B OW1 K +BOAL B OW1 L +BOALS B OW1 L Z +BOAN B OW1 N +BOAR B AO1 R +BOARD B AO1 R D +BOARD'S B AO1 R D Z +BOARDA B AO1 R - D AH0 +BOARDBENT B AO1 R D - B EH2 N T +BOARDED B AO1 R - D AH0 D +BOARDED(2) B AO1 R - D IH0 D +BOARDER B AO1 R - D ER0 +BOARDERS B AO1 R - D ER0 Z +BOARDING B AO1 R - D IH0 NG +BOARDINGHOUSE B AO1 R - D IH0 NG - HH AW2 S +BOARDINGHOUSES B AO1 R - D IH0 NG - HH AW2 - S IH0 Z +BOARDINGS B AO1 R - D IH0 NG Z +BOARDMAN B AO1 R D - M AH0 N +BOARDROOM B AO1 R D - R UW2 M +BOARDROOMS B AO1 R D - R UW2 M Z +BOARDS B AO1 R D Z +BOARDWALK B AO1 R D - W AO2 K +BOARMAN B AO1 R - M AH0 N +BOART B AO1 R T +BOAS B OW1 - AH0 Z +BOASE B OW1 Z +BOAST B OW1 S T +BOASTED B OW1 - S T AH0 D +BOASTED(2) B OW1 - S T IH0 D +BOASTFUL B OW1 S T - F AH0 L +BOASTING B OW1 - S T IH0 NG +BOASTS B OW1 S T S +BOASTS(2) B OW1 S S +BOASTS(3) B OW1 S +BOAT B OW1 T +BOAT'S B OW1 T S +BOATED B OW1 - T IH0 D +BOATERS B OW1 - T ER0 Z +BOATHOUSE B OW1 T - HH AW1 S +BOATING B OW1 - T IH0 NG +BOATLIFT B OW1 T - L IH2 F T +BOATLIFT'S B OW1 T - L IH2 F T S +BOATLIFTS B OW1 T - L IH2 F T S +BOATLOAD B OW1 T - L OW2 D +BOATLOADS B OW1 T - L OW2 D Z +BOATMAN B OW1 T - M AH0 N +BOATMEN'S B OW1 T - M EH0 N Z +BOATNER B OW1 T - N ER0 +BOATRIGHT B OW1 T - R AY2 T +BOATS B OW1 T S +BOATWRIGHT B OW1 T - R AY2 T +BOATYARD B OW1 T - Y AA2 R D +BOAZ B OW1 - AE0 Z +BOB B AA1 B +BOB'S B AA1 B Z +BOBACK B OW1 - B AE2 K +BOBADILLA B OW0 - B AA0 - D IH1 - L AH0 +BOBAK B OW1 - B AH0 K +BOBB B AA1 B +BOBBER B AA1 - B ER0 +BOBBETT B AA1 - B IH0 T +BOBBETTE B AA1 - B EH1 T +BOBBI B AA1 - B IY0 +BOBBIE B AA1 - B IY0 +BOBBIN B AA1 - B AH0 N +BOBBING B AA1 - B IH0 NG +BOBBINGER B AA1 - B IH0 - NG ER0 +BOBBINGER'S B AA1 - B IH0 - NG ER0 Z +BOBBITT B AA1 - B IH0 T +BOBBITT'S B AA1 - B IH0 T S +BOBBITTS B AA1 - B IH0 T S +BOBBO B AA1 - B OW0 +BOBBY B AA1 - B IY0 +BOBBY'S B AA1 - B IY0 Z +BOBCAT B AA1 B - K AE2 T +BOBCATS B AA1 B - K AE2 T Z +BOBE B OW1 B +BOBECK B OW1 - B EH2 K +BOBEK B OW1 - B IH0 K +BOBER B AA1 - B ER0 +BOBERG B OW1 - B ER0 G +BOBICK B AA1 - B IH0 K +BOBIER B OW1 - B IY0 - ER0 +BOBINSKI B AH0 - B IH1 N - S K IY0 +BOBLITT B AH0 - B L IH1 T +BOBO B OW1 - B OW0 +BOBOLAS B OW1 - B OW0 - L AH0 S +BOBROW B AA1 - B R OW2 +BOBROWSKI B AH0 - B R AO1 F S - K IY0 +BOBSLED B AA1 B - S L EH2 D +BOBST B AA1 B S T +BOBZIEN B AA1 B - Z IY0 N +BOCA B OW1 - K AH0 +BOCANEGRA B OW2 - K AH0 - N EH1 - G R AH0 +BOCCE B OW1 - CH IY0 +BOCCE(2) B OW1 - K AH0 +BOCCHINO B OW2 - K IY1 - N OW0 +BOCCIA B OW1 - CH AH0 +BOCCIO B OW1 - CH IY0 - OW0 +BOCCUZZI B OW0 - K UW1 T - S IY0 +BOCEK B OW1 - CH EH2 K +BOCH B AA1 K +BOCHAROV B AA1 - CH ER0 - AA0 V +BOCHCO B AA1 CH - K OW0 +BOCHE B AA1 CH +BOCHENEK B AA1 - K IH0 - N IH0 K +BOCHES B AA1 - CH IH0 Z +BOCHICCHIO B OW0 - K IY1 - K IY0 - OW0 +BOCHNER B AA1 K - N ER0 +BOCHRAM B AA1 - K R AH0 M +BOCIAN B OW1 - SH AH0 N +BOCK B AA1 K +BOCKELMAN B AA1 - K AH0 L - M AH0 N +BOCKIUS B AA1 - K IY0 - AH0 S +BOCKMAN B AA1 K - M AH0 N +BOCKUS B AA1 - K AH0 S +BOCOCK B AA1 - K AH0 K +BOCOOK B AA1 - K UH0 K +BODA B OW1 - D AH0 +BODAMER B AA1 - D AH0 - M ER0 +BODANIS B OW0 - D AA1 - N IH0 S +BODDEN B AA1 - D AH0 N +BODDIE B AA1 - D IY0 +BODDINGTON B AA1 - D IH0 NG - T AH0 N +BODDY B AA1 - D IY0 +BODE B OW1 D +BODEGAS B OW0 - D EY1 - G AH0 S +BODELL B AH0 - D EH1 L +BODEN B OW1 - D AH0 N +BODENHAMER B AA1 - D IH0 N - HH AH0 - M ER0 +BODENHAMER(2) B OW1 - D IH0 N - HH AH0 - M ER0 +BODENHEIMER B AA1 - D IH0 N - HH AY0 - M ER0 +BODENSTEIN B OW1 - D AH0 N - S T AY1 N +BODENSTEIN(2) B OW1 - D AH0 N - S T IY1 N +BODENSTEINER B OW1 - D AH0 N - S T AY1 - N ER0 +BODES B OW1 D Z +BODEY B OW1 - D IY0 +BODI B OW1 - D IY0 +BODIE B OW1 - D IY0 +BODIED B AA1 - D IY0 D +BODIES B AA1 - D IY0 Z +BODIKOVA B AA2 - D IH0 - K OW1 - V AH0 +BODILY B AA1 - D AH0 - L IY0 +BODIN B OW1 - D IH0 N +BODINE B OW0 - D IY1 - N IY0 +BODKIN B AA1 D - K IH0 N +BODKINS B AA1 D - K IH0 N Z +BODLE B OW1 - D AH0 L +BODLEY B AA1 D - L IY0 +BODMAN B AA1 D - M AH0 N +BODMER B AA1 D - M ER0 +BODNAR B AH0 D - N AA1 R +BODNER B AA1 D - N ER0 +BODO B OW1 - D OW0 +BODWELL B AA1 D - W EH2 L +BODY B AA1 - D IY0 +BODY'S B AA1 - D IY0 Z +BODYGUARD B AA1 - D IY0 - G AA2 R D +BODYGUARDS B AA1 - D IY0 - G AA2 R D Z +BODZIAK B AO1 D - Z IY0 - AE0 K +BODZIAK'S B AO1 D - Z IY0 - AE0 K S +BOE B OW1 +BOECK B OW1 K +BOECKEL B OW1 - K AH0 L +BOECKER B OW1 - K ER0 +BOECKMAN B OW1 K - M AH0 N +BOECKMANN B OW1 K - M AH0 N +BOEDECKER B OW1 - D IH0 - K ER0 +BOEDEKER B OW1 - D IH0 - K ER0 +BOEDER B OW1 - D ER0 +BOEDING B OW1 - D IH0 NG +BOEGE B OW1 JH +BOEGER B OW1 - G ER0 +BOEH B OW1 +BOEHL B OW1 L +BOEHLE B OW1 - HH AH0 L +BOEHLER B OW1 - L ER0 +BOEHLERT B OW1 - L ER0 T +BOEHLKE B OW1 L K +BOEHM B OW1 M +BOEHM(2) B EY1 M +BOEHME B OW1 M +BOEHME(2) B EY1 M +BOEHMER B OW1 - M ER0 +BOEHMKE B OW1 M - K IY0 +BOEHNE B OW1 N +BOEHNER B OW1 - N ER0 +BOEHNING B OW1 - N IH0 NG +BOEHNKE B OW1 NG K +BOEHNLEIN B OW1 N - L AY2 N +BOEHRINGER B AO1 - R IH0 - NG ER0 +BOEING B OW1 - IH0 NG +BOEING'S B OW1 - IH0 NG Z +BOEKE B OW1 K +BOEKER B OW1 - K ER0 +BOELENS B OW1 - L AH0 N Z +BOELKOW B OW1 L - K AW0 +BOELMAN B OW1 L - M AH0 N +BOELTER B OW1 L - T ER0 +BOEN B OW1 N +BOENIG B OW1 - N IH0 G +BOENING B AA1 - AH0 - N IH0 NG +BOEPPLE B OW1 - P AH0 L +BOER B AO1 R +BOERGER B AO1 R - G ER0 +BOERMAN B AO1 R - M AH0 N +BOERNER B AO1 R - N ER0 +BOERS B AO1 R Z +BOERSMA B AO1 R S - M AH0 +BOES B OW1 Z +BOESAK B OW1 - Z AE0 K +BOESCH B OW1 SH +BOESCHENSTEIN B OW1 - SH AH0 N - S T IY2 N +BOESCHENSTEIN(2) B OW1 - SH AH0 N - S T AY2 N +BOESE B OW1 S +BOESEL B OW1 - S AH0 L +BOESEN B OW1 - S AH0 N +BOESKY B OW1 S - K IY0 +BOESKY'S B OW1 S - K IY0 Z +BOESKYS B OW1 S - K IY0 Z +BOETCHER B OW1 - CH ER0 +BOETTCHER B OW1 - CH ER0 +BOETTGER B OW1 T - G ER0 +BOETTNER B OW1 T - N ER0 +BOEVE B OW1 V +BOFF B AO1 F +BOFFA B AA1 - F AH0 +BOFFO B AO1 - F OW0 +BOFORS B OW1 - F ER0 Z +BOFORS'S B OW1 - F ER0 - Z IH0 Z +BOG B AA1 G +BOG(2) B AO1 G +BOGACKI B AH0 - G AA1 T S - K IY0 +BOGACZ B AA1 - G AH0 CH +BOGAN B OW1 - G AH0 N +BOGAR B AH0 - G AA1 R +BOGARD B AA1 - G ER0 D +BOGARDUS B AA1 - G AA0 R - D IH0 S +BOGART B OW1 - G AA2 R T +BOGDAN B AA1 G - D AH0 N +BOGDANOFF B AA1 G - D AH0 N - AO0 F +BOGDANOWICZ B AH0 G - D AE1 - N AH0 - W IH0 T Z +BOGDANSKI B AH0 G - D AE1 N S - K IY0 +BOGDEN B AA1 G - D AH0 N +BOGDON B AA1 G - D AH0 N +BOGE B OW1 JH +BOGELSONG B AA1 - G AH0 L - S AO0 NG +BOGEN B AA1 - G AH0 N +BOGENSCHUTZ B AA1 - G IH0 N - SH AH0 T S +BOGER B OW1 - G ER0 +BOGERT B AA1 - G ER0 T +BOGEY B OW1 - G IY0 +BOGEYED B OW1 - G IY0 D +BOGEYMAN B OW1 - G IY0 - M AE2 N +BOGEYMAN(2) B UH1 - G IY0 - M AE2 N +BOGEYMEN B OW1 - G IY0 - M IH2 N +BOGEYMEN(2) B UH1 - G IY0 - M IH2 N +BOGGAN B AA1 - G AH0 N +BOGGED B AA1 G D +BOGGED(2) B AO1 G D +BOGGESS B AA1 - G IH0 S +BOGGING B AO1 - G IH0 NG +BOGGIO B OW1 - JH IY0 - OW0 +BOGGLE B AA1 - G AH0 L +BOGGLED B AA1 - G AH0 L D +BOGGLES B AA1 - G AH0 L Z +BOGGLING B AA1 - G AH0 - L IH0 NG +BOGGLING(2) B AA1 - G L IH0 NG +BOGGS B AO1 G Z +BOGGUS B AA1 - G AH0 S +BOGHOSIAN B AH0 G - HH AA1 - ZH IH0 N +BOGIE B UH1 - G IY0 +BOGIN B OW1 - JH IH0 N +BOGLE B OW1 - G AH0 L +BOGNAR B AH0 G - N AA1 R +BOGNER B AA1 G - N ER0 +BOGOR B OW1 - G AO2 R +BOGOSIAN B AH0 - G AA1 - ZH IH0 N +BOGOTA B OW2 - G AH0 - T AA1 +BOGS B AA1 G Z +BOGS(2) B AO1 G Z +BOGUCKI B AH0 - G AH1 T S - K IY0 +BOGUE B OW1 G +BOGUS B OW1 - G AH0 S +BOGUSLAVSKAYA B OW0 - G AH2 - S L AH0 V - S K AY1 - AH0 +BOGUSZ B AA1 - G AH0 SH +BOHAC B OW1 - HH AH0 K +BOHALL B AA1 - HH AH0 L +BOHAN B OW1 - HH AH0 N +BOHANAN B AA1 - HH AH0 - N AE0 N +BOHANNAN B AH0 - HH AE1 - N AH0 N +BOHANNON B AA1 - HH AH0 - N AA0 N +BOHANON B AA1 - HH AH0 - N AA0 N +BOHART B AA1 - HH AA0 R T +BOHEME B OW0 - HH EY1 - M EY0 +BOHEMIA B OW0 - HH IY1 - M IY0 - AH0 +BOHEMIAN B OW0 - HH IY1 - M IY0 - AH0 N +BOHEN B OW1 - AH0 N +BOHL B OW1 L +BOHLAND B OW1 - L AH0 N D +BOHLANDER B OW1 - L AH0 N - D ER0 +BOHLE B OW1 - HH AH0 L +BOHLEN B OW1 - L AH0 N +BOHLER B OW1 - L ER0 +BOHLIN B OW1 - L IH0 N +BOHLING B OW1 - L IH0 NG +BOHLINGER B OW1 - L IH0 - NG ER0 +BOHLKE B AA1 K +BOHLKE(2) B OW1 L K +BOHLKEN B OW1 L - K AH0 N +BOHLMAN B OW1 L - M AH0 N +BOHLMANN B OW1 L - M AH0 N +BOHM B AA1 M +BOHMAN B OW1 - M AH0 N +BOHMER B OW1 - M ER0 +BOHN B OW1 N +BOHNE B OW1 N +BOHNEN B OW1 - N AH0 N +BOHNENKAMP B OW1 - N IH0 N - K AE0 M P +BOHNER B OW1 - N ER0 +BOHNERT B OW1 - N ER0 T +BOHNET B AA1 - N IH0 T +BOHNHOFF B OW1 N - HH AO2 F +BOHNING B AA1 - N IH0 NG +BOHNSACK B OW1 N - S AH0 K +BOHON B OW1 - HH AH0 N +BOHR B AO1 R +BOHREN B AO1 - R AH0 N +BOHRER B AO1 - R ER0 +BOICE B OY1 S +BOIES B OY1 Z +BOIK B OY1 K +BOIKE B OY1 K +BOIL B OY1 L +BOILARD B OY0 - L AA1 R D +BOILEAU B OY2 - L OW1 +BOILED B OY1 L D +BOILER B OY1 - L ER0 +BOILERMAKER B OY1 - L ER0 - M EY2 - K ER0 +BOILERPLATE B OY1 - L ER0 - P L EY2 T +BOILERS B OY1 - L ER0 Z +BOILING B OY1 - L IH0 NG +BOILS B OY1 L Z +BOIPATONG B OY1 - P AH0 - T AO0 NG +BOIS B W AA1 +BOISCLAIR B W AA0 - K L EH1 R +BOISE B OY1 - Z IY0 +BOISE'S B OY1 - Z IY0 Z +BOISE'S(2) B OY1 - S IY0 Z +BOISE(2) B OY1 - S IY0 +BOISEN B OY1 - S AH0 N +BOISI B OY1 - S IY0 +BOISJOLY B OY1 S - JH AH0 - L IY0 +BOISSEAU B W AA2 - S OW1 +BOISSONNEAULT B W AA1 - S AH0 - N OW0 +BOISTEROUS B OY1 - S T ER0 - AH0 S +BOISTEROUS(2) B OY1 - S T R AH0 S +BOISVERT B W AA0 - V ER1 T +BOITANO B OY2 - T AA1 - N OW0 +BOITNOTT B OY0 T - N AA1 T +BOIVIN B OY0 - V AE1 N +BOJANGLES' B OW0 - JH AE1 NG - G AH0 L Z +BOJANOWSKI B AH0 - Y AH0 - N AO1 F S - K IY0 +BOJARSKI B AH0 - Y AA1 R S - K IY0 +BOJENKA B AH0 - JH EH1 NG - K AH0 +BOJORQUEZ B OW0 - Y AO1 R - K W EH0 Z +BOK B AA1 K +BOKASSA B AH0 - K AA1 - S AH0 +BOKER B OW1 - K ER0 +BOKOR B OW1 - K ER0 +BOKSEN B AA1 K - S AH0 N +BOL B AA1 L +BOLA B OW1 - L AH0 +BOLAM B OW1 - L AH0 M +BOLAN B OW1 - L AH0 N +BOLAND B OW1 - L AH0 N D +BOLANDER B AA1 - L AH0 N - D ER0 +BOLANGER B OW1 - L AH0 N - JH ER0 +BOLANOS B OW0 - L AA1 - N OW0 Z +BOLAR B OW1 - L ER0 +BOLAR'S B OW1 - L ER0 Z +BOLCH B OW1 L CH +BOLCOM B OW1 L - K AH0 M +BOLD B OW1 L D +BOLDA B OW1 L - D AH0 +BOLDEN B OW1 L - D AH0 N +BOLDER B OW1 L - D ER0 +BOLDEST B OW1 L - D IH0 S T +BOLDFACE B OW1 L D - F EY2 S +BOLDIN B OW1 L - D IH0 N +BOLDING B OW1 L - D IH0 NG +BOLDLY B OW1 L D - L IY0 +BOLDMAN B OW1 L D - M AH0 N +BOLDNESS B OW1 L D - N AH0 S +BOLDON B OW1 L - D AH0 N +BOLDS B OW1 L D Z +BOLDT B OW1 L T +BOLDUC B OW1 L - D AH0 K +BOLDUC'S B OW1 L - D AH0 K S +BOLE B OW1 L +BOLEK B OW1 - L IH0 K +BOLEN B OW1 - L AH0 N +BOLENBAUGH B AH0 - L EH1 N - B AO0 +BOLENDER B AA1 - L EH0 N - D ER0 +BOLER B OW1 - L ER0 +BOLERJACK B AA1 - L ER0 - JH AH0 K +BOLERO B OW0 - L EH1 - R OW0 +BOLES B OW1 L Z +BOLEWARE B OW1 L - W EH0 R +BOLEY B OW1 - L IY0 +BOLF B OW1 L F +BOLGER B OW1 L - JH ER0 +BOLGER'S B OW1 L - JH ER0 Z +BOLICH B AA1 - L IH0 K +BOLICK B AA1 - L IH0 K +BOLIDEN B OW1 - L IH0 - D AH0 N +BOLIN B OW1 - L IH0 N +BOLINE B AA1 - L AY0 N +BOLING B OW1 - L IH0 NG +BOLINGER B OW1 - L IH0 - NG ER0 +BOLIO B OW1 - L IY0 - OW0 +BOLITHO B OW0 - L IH1 - TH AH0 +BOLIVAR B AA1 - L AH0 - V ER0 +BOLIVARS B AA1 - L AH0 - V ER0 Z +BOLIVIA B AH0 - L IH1 - V IY0 - AH0 +BOLIVIA'S B AH0 - L IH1 - V IY0 - AH0 Z +BOLIVIA(2) B OW0 - L IH1 - V IY0 - AH0 +BOLIVIAN B OW0 - L IH1 - V IY0 - AH0 N +BOLIVIAN(2) B AH0 - L IH1 - V IY0 - AH0 N +BOLKER B OW1 L - K ER0 +BOLKOW B OW1 L - K AW0 +BOLL B OW1 L +BOLLA B AA1 - L AH0 +BOLLAND B AA1 - L AH0 N D +BOLLAPRAGADA B OW0 - L AA2 - P R AH0 - G AA1 - D AH0 +BOLLARD B AA1 - L ER0 D +BOLLE B AA1 L +BOLLEN B AA1 - L AH0 N +BOLLENBACH B AA1 - L IH0 N - B AA0 K +BOLLENBACHER B AA1 - L IH0 N - B AA0 - K ER0 +BOLLER B AA1 - L ER0 +BOLLES B OW1 L Z +BOLLETTIERI B AH0 - L EH2 - T IY0 - EH1 - R IY0 +BOLLIER B AA1 - L IY0 - ER0 +BOLLIG B AA1 - L IH0 G +BOLLIGER B AA1 - L IH0 - G ER0 +BOLLIN B AA1 - L IH0 N +BOLLING B OW1 - L IH0 NG +BOLLINGER B AA1 - L IH0 - NG ER0 +BOLLMAN B AA1 L - M AH0 N +BOLLMANN B AA1 L - M AH0 N +BOLLORE B AA1 - L AO0 R +BOLLS B OW1 L Z +BOLOGNA B AH0 - L OW1 - N IY0 +BOLOGNESE B OW0 - L OW0 G - N EY1 - Z IY0 +BOLOGNESI B AA2 - L AA0 G - N EH1 - S IY0 +BOLON B OW1 - L AH0 N +BOLOTIN B AA1 - L AH0 - T IH0 N +BOLSA B OW1 L - S AH0 +BOLSA'S B OW1 L - S AH0 Z +BOLSER B OW1 L - S ER0 +BOLSHEVIK B OW1 L - SH AH0 - V IH2 K +BOLSHEVIKS B OW1 L - SH AH0 - V IH2 K S +BOLSHEVISM B OW1 L - SH AH0 - V IH2 - Z AH0 M +BOLSHEVIST B OW1 L - SH IH0 - V IH2 S T +BOLSHOI B OW0 L - SH OY1 +BOLSHOI'S B OW0 L - SH OY1 Z +BOLSON B OW1 L - S AH0 N +BOLSTAD B OW1 L - S T AH0 D +BOLSTER B OW1 L - S T ER0 +BOLSTERED B OW1 L - S T ER0 D +BOLSTERING B OW1 L - S T ER0 - IH0 NG +BOLSTERS B OW1 L - S T ER0 Z +BOLT B OW1 L T +BOLTE B OW1 L T +BOLTED B OW1 L - T AH0 D +BOLTED(2) B OW1 L - T IH0 D +BOLTEN B OW1 L - T AH0 N +BOLTER B OW1 L - T ER0 +BOLTHOUSE B OW1 L T - HH AW2 S +BOLTING B OW1 L - T IH0 NG +BOLTON B OW1 L - T AH0 N +BOLTS B OW1 L T S +BOLTZ B OW1 L T S +BOLTZMANN'S B OW1 L T S - M AH0 N Z +BOLTZMANNS B OW1 L T S - M AH0 N Z +BOLUS B OW1 - L AH0 S +BOLYARD B AH0 L - Y AA1 R D +BOLZ B OW1 L Z +BOM B AA1 M +BOMAG B OW1 - M AE0 G +BOMAN B OW1 - M AH0 N +BOMAR B AH0 - M AA1 R +BOMB B AA1 M +BOMB'S B AA1 M Z +BOMB(2) B AO1 M +BOMBA B AA1 M - B AH0 +BOMBARD B AA0 M - B AA1 R D +BOMBARDED B AA0 M - B AA1 R - D IH0 D +BOMBARDIER B AA2 M - B ER0 - D IH1 R +BOMBARDING B AA0 M - B AA1 R - D IH0 NG +BOMBARDMENT B AA0 M - B AA1 R D - M AH0 N T +BOMBARDMENTS B AA0 M - B AA1 R D - M AH0 N T S +BOMBAST B AA1 M - B AE0 S T +BOMBASTIC B AA0 M - B AE1 - S T IH0 K +BOMBAY B AA0 M - B EY1 +BOMBAY'S B AA0 M - B EY1 Z +BOMBECK B AA1 M - B EH2 K +BOMBED B AA1 M D +BOMBER B AA1 - M ER0 +BOMBER'S B AA1 - M ER0 Z +BOMBERG B AA1 M - B ER0 G +BOMBERGER B AA1 M - B ER0 - G ER0 +BOMBERS B AA1 - M ER0 Z +BOMBING B AA1 - M IH0 NG +BOMBINGS B AA1 - M IH0 NG Z +BOMBMAKER B AA1 M - M EY0 - K ER0 +BOMBMAKING B AA1 M - M EY0 - K IH0 NG +BOMBS B AA1 M Z +BOMBSHELL B AA1 M - SH EH2 L +BOMBSHELLS B AA1 M - SH EH2 L Z +BOMER B OW1 - M ER0 +BOMGARDNER B AA1 M - G AA2 R D - N ER0 +BOMMARITO B AA2 - M ER0 - IY1 - T OW0 +BOMMER B AA1 - M ER0 +BON B AA1 N +BONA B OW1 - N AH0 +BONACCI B OW0 - N AA1 - CH IY0 +BONADIO B OW0 - N AA1 - D IY0 - OW0 +BONADONNA B AA2 - N AH0 - D AA1 - N AH0 +BONADUCE B AA2 - N AH0 - D UW1 - CH IY0 +BONADUCE(2) B AA1 - N AH0 - D UW0 S +BONAFIDE B AA1 - N AH0 - F AY2 D +BONAFIDE(2) B OW1 - N AH0 - F AY2 D +BONANNI B OW0 - N AA1 - N IY0 +BONANNO B OW0 - N AA1 - N OW0 +BONANZA B AH0 - N AE1 N - Z AH0 +BONAPARTE B OW1 - N AH0 - P AA2 R T +BONAPARTE'S B OW1 - N AH0 - P AA2 R T S +BONAR B OW1 - N ER0 +BONASERA B OW0 - N AA0 - S EH1 - R AH0 +BONAVENTURA B OW0 - N AA0 - V EH0 N - T UH1 - R AH0 +BONAVENTURE B AA1 - N AH0 - V EH2 N - CH ER0 +BONAVIA B AA2 - N EY1 - V IY0 - AH0 +BONAVITA B OW0 - N AA0 - V IY1 - T AH0 +BONAWITZ B AA1 - N AH0 - W IH0 T S +BONCZEK B AA1 N - CH EH0 K +BOND B AA1 N D +BOND'S B AA1 N D Z +BONDAGE B AA1 N - D IH0 JH +BONDAR B AH0 N - D AA1 R +BONDE B AA1 N D +BONDED B AA1 N - D AH0 D +BONDED(2) B AA1 N - D IH0 D +BONDERMAN B AA1 N - D ER0 - M AH0 N +BONDHOLDER B AA1 N D - HH OW2 L - D ER0 +BONDHOLDERS B AA1 N D - HH OW2 L - D ER0 Z +BONDHOLDERS' B AA1 N D - HH OW2 L - D ER0 Z +BONDI B AA1 N - D IY0 +BONDING B AA1 N - D IH0 NG +BONDS B AA1 N D Z +BONDS' B AA1 N D Z +BONDT B AA1 N T +BONDURANT B OW0 N - D UH1 - R AH0 N T +BONDY B AA1 N - D IY0 +BONE B OW1 N +BONEBRAKE B OW1 N - B R EY2 K +BONECRUSHER B OW1 N - K R AH2 - SH ER0 +BONECUTTER B OW1 N - K AH2 - T ER0 +BONED B OW1 N D +BONELESS B OW1 N - L AH0 S +BONELLI B OW0 - N EH1 - L IY0 +BONELLO B OW0 - N EH1 - L OW0 +BONENBERGER B OW1 - N AH0 N - B ER0 - G ER0 +BONENFANT B OW1 N - F AH0 N T +BONER B OW1 - N ER0 +BONES B OW1 N Z +BONESTEEL B OW1 N - S T IY2 L +BONET B OW1 N T +BONETTI B OW0 - N EH1 - T IY0 +BONEY B OW1 - N IY0 +BONFANTI B OW0 N - F AA1 N - T IY0 +BONFIELD B AA1 N - F IY2 L D +BONFIGLIO B AA2 N - F IH1 G - L IY0 - OW0 +BONFIRE B AA1 N - F AY2 - ER0 +BONFIRES B AA1 N - F AY2 - ER0 Z +BONG B AA1 NG +BONGARD B AH0 NG - G AA1 R D +BONGARTEN B AA1 NG - G AA2 R - T AH0 N +BONGERS B AO1 - NG ER0 Z +BONGIORNO B OW0 N - JH AO1 R - N OW0 +BONGIOVANNI B OW0 N - JH OW0 - V AA1 - N IY0 +BONGJIN B AO1 NG - JH IH1 N +BONGO B AA1 NG - G OW2 +BONGOS B AA1 NG - G OW2 Z +BONHAM B AA1 N - HH AH0 M +BONI B OW1 - N IY0 +BONICA B AA1 - N IH0 - K AH0 +BONIER B AA1 - N Y ER0 +BONIFACIO B AA2 - N IH0 - F EY1 - S IY0 - OW0 +BONIFAS B AA1 - N IH0 - F AH0 Z +BONIFAY B AA1 - N IH0 - F EY2 +BONIFIELD B AA1 - N IH0 - F IY2 L D +BONILLA B AH0 - N IH1 - L AH0 +BONIN B OW1 - N IH0 N +BONINE B OW0 - N IY1 - N IY0 +BONING B OW1 - N IH0 NG +BONINI B OW0 - N IY1 - N IY0 +BONINO B OW0 - N IY1 - N OW0 +BONIOR B OW1 - N IY0 - ER0 +BONIOR(2) B OW2 N - W AA1 R +BONITA B OW0 - N IY1 - T AH0 +BONITO B AH0 - N IY1 - T OW0 +BONJOUR B AH0 N - ZH UH1 R +BONK B AA1 NG K +BONKER B AO1 NG - K ER0 +BONKERS B AA1 NG - K ER0 Z +BONKOWSKI B AH0 NG - K AO1 F S - K IY0 +BONN B AA1 N +BONN'S B AA1 N Z +BONNE B AA1 N +BONNEAU B AH0 - N OW1 +BONNELL B AA1 - N AH0 L +BONNEMA B AA1 - N IH0 - M AH0 +BONNER B AO1 - N ER0 +BONNES B AO1 N Z +BONNET B AA1 - N AH0 T +BONNETT B AA1 - N IH0 T +BONNETTE B AH0 - N EH1 T +BONNEVILLE B AA1 - N AH0 - V IH2 L +BONNEVILLES B AA1 - N AH0 - V IH2 L Z +BONNEY B AA1 - N IY0 +BONNIBEL B AA1 - N IH0 - B AH0 L +BONNIBELLE B AA1 - N IH0 - B AH0 L +BONNIE B AA1 - N IY0 +BONNIE'S B AA1 - N IY0 Z +BONNIN B AA1 - N IH0 N +BONNOR B AA1 - N ER0 +BONNY B AA1 - N IY0 +BONO B OW1 - N OW0 +BONOBOS B AA0 - N AA1 - B OW0 Z +BONOBOS(2) B AA1 - N AH0 - B AH0 Z +BONOMO B AA1 - N AH0 - M OW0 +BONSAI B AA0 N - S AY1 +BONSAI(2) B OW1 N - S AY0 +BONSALL B OW0 N - S AA1 L +BONSER B AA1 N - S ER0 +BONSIGNORE B OW0 N - S IY0 G - N AO1 - R IY0 +BONTA B AA1 N - T AH0 +BONTE B AA1 N T +BONTEMPO B AA2 N - T EH1 M - P OW0 +BONTRAGER B AA1 N - T R EY2 - G ER0 +BONUM B AA1 - N AH0 M +BONURA B OW0 - N UH1 - R AH0 +BONUS B OW1 - N AH0 S +BONUSES B OW1 - N AH0 - S IH0 Z +BONVILLAIN B AA1 N - V IH0 - L EY2 N +BONVILLE B OW1 N - V IH0 L +BONWELL B AA1 N - W EH2 L +BONWIT B AA1 N - W IH0 T +BONWIT'S B AA1 N - W IH0 T S +BONY B OW1 - N IY0 +BONZO B AA1 N - Z OW0 +BOO B UW1 +BOOB B UW1 B +BOOBS B UW1 B Z +BOOBY B UW1 - B IY0 +BOOCK B UW1 K +BOODLE B UW1 - D AH0 L +BOODLES B UW1 - D AH0 L Z +BOODY B UW1 - D IY0 +BOOE B AA1 - OW0 +BOOED B UW1 D +BOOEE B UW1 - IY0 +BOOGIE B UW1 - G IY0 +BOOGIE(2) B UH1 - G IY0 +BOOGIE-WOOGIE B UW1 - G IY0 - W UW1 - G IY0 +BOOGIE-WOOGIE(2) B UH1 - G IY0 - W UH1 - G IY0 +BOOHER B UW1 - ER0 +BOOING B UW1 - IH0 NG +BOOK B UH1 K +BOOK'S B UH1 K S +BOOKBINDER B UH1 K - B AY2 N - D ER0 +BOOKCASE B UH1 K - K EY2 S +BOOKCASES B UH1 K - K EY2 - S IH0 Z +BOOKCELLAR B UH1 K - S EH1 - L ER0 +BOOKED B UH1 K T +BOOKEND B UH1 K - EH2 N D +BOOKENDS B UH1 K - EH2 N D Z +BOOKER B UH1 K - ER0 +BOOKERS B UH1 - K ER0 Z +BOOKIE B UH1 K - IY0 +BOOKIES B UH1 K - IY0 Z +BOOKIN B UH1 - K IH0 N +BOOKING B UH1 - K IH0 NG +BOOKINGS B UH1 - K IH0 NG Z +BOOKISH B UH1 K - IH0 SH +BOOKKEEPER B UH1 K - K IY2 - P ER0 +BOOKKEEPERS B UH1 K - K IY2 - P ER0 Z +BOOKKEEPING B UH1 K - K IY2 - P IH0 NG +BOOKLET B UH1 K - L IH0 T +BOOKLETS B UH1 K - L AH0 T S +BOOKMAKING B UH1 K - M EY2 - K IH0 NG +BOOKMAN B UH1 K - M AH0 N +BOOKMOBILE B UH1 K - M OW0 - B IY2 L +BOOKNOTE B UH1 K - N OW2 T +BOOKNOTES B UH1 K - N OW2 T S +BOOKOUT B UH1 K - AW2 T +BOOKS B UH1 K S +BOOKS' B UH1 K S +BOOKSELLER B UH1 K - S EH2 - L ER0 +BOOKSELLERS B UH1 K - S EH2 - L ER0 Z +BOOKSHELF B UH1 K - SH EH2 L F +BOOKSHELVES B UH1 K - SH EH2 L V Z +BOOKSHOP B UH1 K - SH AA2 P +BOOKSHOPS B UH1 K - SH AA2 P S +BOOKSMITH B UH1 K - S M IH2 TH +BOOKSTOP B UH1 K - S T AA2 P +BOOKSTORE B UH1 K - S T AO2 R +BOOKSTORES B UH1 K - S T AO2 R Z +BOOKWALTER B UH1 K - W AH0 L - T ER0 +BOOKWORM B UH1 K - W ER2 M +BOOLE B UW1 L +BOOM B UW1 M +BOOM'S B UW1 M Z +BOOMBOX B UH1 M - B AA2 K S +BOOMED B UW1 M D +BOOMER B UW1 - M ER0 +BOOMERANG B UW1 - M ER0 - AE2 NG +BOOMERANGED B UW1 - M ER0 - AE2 NG D +BOOMERS B UW1 - M ER0 Z +BOOMERS' B UW1 - M ER0 Z +BOOMERSHINE B UW1 - M ER0 - SH AY2 N +BOOMHOWER B UW1 M - HH OW0 - ER0 +BOOMING B UW1 - M IH0 NG +BOOMLET B UW1 M - L AH0 T +BOOMS B UW1 M Z +BOOMSMA B UW1 M Z - M AH0 +BOOMTOWN B UW1 M - T AW2 N +BOON B UW1 N +BOONDOCKS B UW1 N - D AA2 K S +BOONDOGGLE B UW2 N - D AA1 - G AH0 L +BOONDOGGLES B UW2 N - D AA1 - G AH0 L Z +BOONE B UW1 N +BOONSTRA B UW1 N - S T R AH0 +BOONTON B UW1 N - T AH0 N +BOONVILLE B UW1 N - V IH0 L +BOOP B UW1 P +BOOR B UH1 R +BOORAS B UH1 - R AH0 Z +BOORD B UH1 R D +BOORDA B UH1 R - D AH0 +BOORDA'S B UH1 R - D AH0 Z +BOORISH B UH1 - R IH0 SH +BOORISHNESS B UH1 - R IH0 SH - N AH0 S +BOORMAN B UH1 R - M AH0 N +BOORS B UH1 R Z +BOORSTIN B UW1 R - S T IH0 N +BOORTZ B AO1 R T S +BOOS B UW1 Z +BOOSE B UW1 S +BOOST B UW1 S T +BOOSTED B UW1 - S T IH0 D +BOOSTER B UW1 - S T ER0 +BOOSTER'S B UW1 - S T ER0 Z +BOOSTERISM B UW1 - S T ER0 - IH2 - Z AH0 M +BOOSTERS B UW1 - S T ER0 Z +BOOSTING B UW1 - S T IH0 NG +BOOSTS B UW1 S T S +BOOT B UW1 T +BOOTE B UW1 T +BOOTED B UW1 - T IH0 D +BOOTEN B UW1 - T AH0 N +BOOTH B UW1 TH +BOOTHBY B UW1 TH - B IY0 +BOOTHE B UW1 DH +BOOTHMAN B UW1 TH - M AH0 N +BOOTHROYD B UW1 - TH R OY2 D +BOOTHS B UW1 TH S +BOOTIE B UW1 - T IY0 +BOOTIES B UW1 - T IY0 Z +BOOTING B UW1 - T IH0 NG +BOOTLEG B UW1 T - L EH2 G +BOOTLEGGER B UW1 T - L EH2 - G ER0 +BOOTLEGGERS B UW1 T - L EH2 - G ER0 Z +BOOTLEGGING B UW1 T - L EH2 - G IH0 NG +BOOTLEGS B UW1 T - L EH2 G Z +BOOTON B UW1 - T AH0 N +BOOTS B UW1 T S +BOOTSTRAP B UW1 T - S T R AE2 P +BOOTSTRAPS B UW1 T - S T R AE2 P S +BOOTY B UW1 - T IY0 +BOOTZ B UW1 T S +BOOZ B UW1 Z +BOOZE B UW1 Z +BOOZER B UW1 - Z ER0 +BOOZIER B UW1 - Z IY0 - ER0 +BOOZING B UW1 - Z IH0 NG +BOOZY B UW1 - Z IY0 +BOP B AA1 P +BOPEEP B OW0 - P IY1 P +BOPERA B OW0 - P EH1 - R AH0 +BOPHA B OW1 - F AH0 +BOPHUTHATSWANA B OW2 - F UW0 - TH AA0 T - S W AA1 - N AH0 +BOPP B AA1 P +BOPPER B AA1 - P ER0 +BOPPERS B AA1 - P ER0 Z +BOQUIST B AA1 - K W IH0 S T +BORA B AO1 - R AH0 +BORAH B AO1 - R AH0 +BORAK B AO1 - R AH0 K +BORAL B AO1 - R AH0 L +BORAWSKI B ER0 - AA1 F S - K IY0 +BORAX B AO1 - R AE2 K S +BORBA B AO1 R - B AH0 +BORCHARD B ER0 - SH AA1 R D +BORCHARDT B ER0 - SH AA1 R D T +BORCHELT B AO1 R - K IH0 L T +BORCHERDING B AO1 R - K ER0 - D IH0 NG +BORCHERS B AO1 R - K ER0 Z +BORCHERT B AO1 R - K ER0 T +BORCK B AO1 R K +BORDA B AO1 R - D AH0 +BORDA'S B AO1 R - D AH0 Z +BORDALLO B AO0 R - D AE1 - L OW0 +BORDAS B AO1 R - D AH0 Z +BORDEAU B ER0 - D OW1 +BORDEAUX B AO0 R - D OW1 +BORDELLO B AO0 R - D EH1 - L OW2 +BORDELON B AO1 R - D IH0 - L AA0 N +BORDEN B AO1 R - D AH0 N +BORDEN'S B AO1 R - D AH0 N Z +BORDENAVE B AO1 R - D EH0 - N AA2 V +BORDENAVE(2) B AO0 R - D EH0 - N AA1 V +BORDER B AO1 R - D ER0 +BORDER'S B AO1 R - D ER0 Z +BORDERED B AO1 R - D ER0 D +BORDERING B AO1 R - D ER0 - IH0 NG +BORDERLINE B AO1 R - D ER0 - L AY2 N +BORDERS B AO1 R - D ER0 Z +BORDES B AO1 R D Z +BORDMAN B AO1 R D - M AH0 N +BORDNER B AO1 R D - N ER0 +BORDONARO B AO0 R - D OW0 - N AA1 - R OW0 +BORDWELL B AO1 R D - W EH0 L +BORE B AO1 R +BOREALIS B AO2 - R IY0 - AE1 - L AH0 S +BORED B AO1 R D +BOREDOM B AO1 R - D AH0 M +BOREK B AO1 - R IH0 K +BOREL B AO1 - R AH0 L +BORELL B AO1 - R AH0 L +BORELLA B AO0 - R EH1 - L AH0 +BORELLI B AO0 - R EH1 - L IY0 +BORELLO B AO0 - R EH1 - L OW0 +BOREN B AO1 - R AH0 N +BOREN'S B AO1 - R AH0 N Z +BORENSTEIN B AO1 - R AH0 N - S T AY2 N +BORENSTEIN(2) B AO1 - R AH0 N - S T IY2 N +BORER B AO1 - R ER0 +BORES B AO1 R Z +BORG B AO1 R G +BORGE B AO1 R JH +BORGELT B AO1 R - G IH0 L T +BORGEN B AO1 R - G AH0 N +BORGER B AO1 R - G ER0 +BORGERDING B AO1 R - G ER0 - D IH0 NG +BORGERT B AO1 R - G ER0 T +BORGES B AO1 R - G EY0 S +BORGESON B AO1 R - G IH0 - S AH0 N +BORGESS B AO1 R - G IH0 S +BORGHI B AO1 R - G IY0 +BORGIA B AO1 R - JH AH0 +BORGMAN B AO1 R G - M AH0 N +BORGMANN B AO1 R G - M AH0 N +BORGMEYER B AO1 R G - M AY0 - ER0 +BORGSTROM B AO1 R G - S T R AH0 M +BORGWARDT B AO1 R - G W AO2 R T +BORIC B AO1 - R IH0 K +BORIN B AO1 - R IH0 N +BORING B AO1 - R IH0 NG +BORIS B AO1 - R IH0 S +BORIS' B AO1 - R IH0 S +BORIS'S B AO1 - R IH0 - S IH0 Z +BORJA B AO1 - R Y AH0 +BORJAS B AO1 - R Y AH0 Z +BORK B AO1 R K +BORK'S B AO1 R K S +BORKENHAGEN B AO1 R - K IH0 N - HH AA2 - G AH0 N +BORKENHAGEN(2) B AO1 R - K IH0 N - HH EY2 - G AH0 N +BORKOWSKI B ER0 - K AO1 F S - K IY0 +BORLAND B AO1 R - L AH0 N D +BORLAND'S B AO1 R - L AH0 N D Z +BORMAN B AO1 R - M AH0 N +BORMAN'S B AO1 R - M AH0 N Z +BORMANN B AO1 R - M AH0 N +BORN B AO1 R N +BORNE B AO1 R N +BORNEMAN B AO1 R N - M AH0 N +BORNEMANN B AO1 R N - M AH0 N +BORNEO B AO1 R - N IY0 - OW2 +BORNER B AO1 R - N ER0 +BORNHOLDT B AO1 R N - HH OW0 L T +BORNHORST B AO1 R N - HH AO0 R S T +BORNMAN B AO1 R N - M AH0 N +BORNS B AO1 R N Z +BORNSTEIN B AO1 R N - S T AY1 N +BORNSTEIN(2) B AO1 R N - S T IY1 N +BORNTRAGER B AO1 R N - T R EY0 - G ER0 +BORO B ER1 - OW0 +BOROFF B AO1 - R AO0 F +BOROIAN B AO0 - R OY1 - AH0 N +BORON B AO1 - R AA2 N +BOROS B ER1 - OW0 Z +BOROSAGE B AO1 - R AH0 - S IH0 JH +BOROSKI B ER0 - AW1 S - K IY0 +BOROUGH B ER1 - OW2 +BOROUGH'S B ER1 - OW2 Z +BOROUGHS B ER1 - OW2 Z +BOROWIAK B ER0 - AW1 - IY0 - AE0 K +BOROWICZ B ER1 - OW0 - V IH0 CH +BOROWIEC B ER0 - AW1 - IY0 K +BOROWSKI B ER0 - AO1 F S - K IY0 +BOROWSKY B ER0 - AW1 S - K IY0 +BOROWY B ER0 - AW1 - IY0 +BORQUEZ B AO0 R - K W EH1 Z +BORRAS B AO1 - R AH0 Z +BORRE B AO1 R +BORREGO B AO0 - R EH1 - G OW0 +BORRELL B AO0 - R EY1 L +BORRELLI B AO0 - R EH1 - L IY0 +BORRELLO B AO2 - R EH1 - L OW0 +BORRERO B AO0 - R EH1 - R OW0 +BORRIS B AO1 - R IH0 S +BORROFF B AO1 - R AO0 F +BORROR B AO1 - ER0 R +BORROW B AA1 - R OW2 +BORROWED B AA1 - R OW2 D +BORROWER B AA1 - R OW0 - ER0 +BORROWER'S B AA1 - R OW0 - ER0 Z +BORROWERS B AA1 - R OW0 - ER0 Z +BORROWERS' B AO1 - R AH0 - ER0 Z +BORROWING B AA1 - R OW0 - IH0 NG +BORROWINGS B AA1 - R OW0 - IH0 NG Z +BORROWMAN B AA1 - R OW0 - M AH0 N +BORROWS B AA1 - R OW0 Z +BORRUSO B AO2 - R UW1 - S OW0 +BORS B AO1 R Z +BORSCH B AO1 R SH +BORSCHT B AO1 R SH T +BORSE B AO1 R S +BORSETH B AO1 R - S IH0 TH +BORSKI B AO1 R S - K IY0 +BORST B AO1 R S T +BORSUK B AO1 R - S AH0 K +BORT B AO1 R T +BORTEL B AO1 R - T EH2 L +BORTEN B AO1 R - T AH0 N +BORTH B AO1 R TH +BORTHWICK B AO1 R TH - W IH0 K +BORTLE B AO1 R - T AH0 L +BORTNER B AO1 R T - N ER0 +BORTNICK B AO1 R T - N IH0 K +BORTON B AO1 R - T AH0 N +BORTZ B AO1 R T S +BORUCH B AO1 - R AH0 K +BORUCKI B ER0 - AH1 T S - K IY0 +BORUFF B AO1 - R AH0 F +BORUM B AO1 - R AH0 M +BORUNDA B AO0 - R UW1 N - D AH0 +BORUP B AO1 - R AH0 P +BORWN B AO1 R - W IH0 N +BORYS B AO1 - R IY0 Z +BOS B AA1 S +BOSAK B OW1 - S AH0 K +BOSARGE B AA1 - S AA0 R G +BOSCARINO B OW0 S - K AA0 - R IY1 - N OW0 +BOSCH B AO1 SH +BOSCHEE B AO1 - SH IY0 +BOSCHEN B AO1 - SH AH0 N +BOSCHERT B AO1 - SH ER0 T +BOSCHWITZ B AO1 SH - W IH0 T S +BOSCIA B OW1 S - CH AH0 +BOSCO B AO1 - S K OW0 +BOSE B OW1 Z +BOSEMAN B OW1 S - M AH0 N +BOSENDORFER B OW1 - Z AH0 N - D AO2 R - F ER0 +BOSER B OW1 - Z ER0 +BOSH B AA1 SH +BOSHART B AA1 - SH AA0 R T +BOSHEARS B AA1 - SH IH0 R Z +BOSHELL B AA1 - SH AH0 L +BOSHER B AA1 - SH ER0 +BOSHERS B AA1 - SH ER0 Z +BOSKIN B AO1 - S K IH0 N +BOSKO B OW1 - S K OW0 +BOSKOVICH B AA1 - S K AH0 - V IH0 CH +BOSLEGO B AO2 S - L EY1 - G OW0 +BOSLER B AA1 - S AH0 - L ER0 +BOSLER(2) B AA1 Z - L ER0 +BOSLEY B AA1 Z - L IY0 +BOSMA B OW1 S - M AH0 +BOSMAN B AA1 S - M AH0 N +BOSNIA B AA1 Z - N IY0 - AH0 +BOSNIA'S B AA1 Z - N IY0 - AH0 Z +BOSNIAN B AA1 Z - N IY0 - AH0 N +BOSNIAN'S B AA1 Z - N IY0 - AH0 N Z +BOSNIANS B AA1 Z - N IY0 - AH0 N Z +BOSNIAS B AA1 Z - N IY0 - AH0 Z +BOSO B OW1 - S OW0 +BOSOM B UH1 - Z AH0 M +BOSQI B AA1 S - K IY0 +BOSQUEZ B OW0 - S K W EH1 Z +BOSS B AA1 S +BOSS' B AO1 S +BOSS'S B AO1 - S IH0 Z +BOSS(2) B AO1 S +BOSSARD B AH0 - S AA1 R D +BOSSART B AH0 - S AA1 R T +BOSSE B AA1 S +BOSSED B AA1 S T +BOSSEN B AA1 - S AH0 N +BOSSERMAN B AO1 - S ER0 - M AH0 N +BOSSERT B AA1 - S ER0 T +BOSSES B AO1 - S IH0 Z +BOSSES' B AO1 - S IH0 Z +BOSSHARDT B AO1 S - HH AA2 R T +BOSSHART B AO1 S - HH AA2 R T +BOSSI B OW1 - S IY0 +BOSSIDY B AO1 - S IH0 - D IY0 +BOSSIE B AO1 - S IY0 +BOSSIER B AO1 - S IY0 - ER0 +BOSSLER B AA1 - S AH0 - L ER0 +BOSSLER(2) B AA1 S - L ER0 +BOSSMAN B AO1 S - M AH0 N +BOSSO B OW1 - S OW0 +BOSSY B AO1 - S IY0 +BOST B AA1 S T +BOSTELMAN B AA1 - S T AH0 L - M AH0 N +BOSTER B AA1 - S T ER0 +BOSTIAN B AA1 S - CH IH0 N +BOSTIC B AA1 - S T IH0 K +BOSTICK B OW1 - S T IH0 K +BOSTOCK B OW1 - S T AA2 K +BOSTON B AA1 - S T AH0 N +BOSTON'S B AO1 - S T AH0 N Z +BOSTON(2) B AO1 - S T AH0 N +BOSTONIAN B AO2 - S T OW1 - N IY0 - AH0 N +BOSTONIANS B AA1 - S T OW0 - N IY0 - AH0 N Z +BOSTRA B AA1 S - T R AH0 +BOSTROM B AA1 S - T R AH0 M +BOSTWICK B AA1 - S T W IH0 K +BOSWELL B AA1 Z - W EH0 L +BOSWORTH B AO1 Z - W ER0 TH +BOTANIC B AH0 - T AE1 - N IH0 K +BOTANICAL B AH0 - T AE1 - N IH0 - K AH0 L +BOTANICALLY B AH0 - T AE1 - N AH0 - K AH0 - L IY0 +BOTANICALLY(2) B AH0 - T AE1 - N AH0 K - L IY0 +BOTANIST B AA1 - T AH0 - N AH0 S T +BOTANIST(2) B AA1 - T AH0 - N IH0 S T +BOTANISTS B AA1 - T AH0 - N IH0 S T S +BOTANISTS(2) B AA1 - T AH0 - N IH0 S S +BOTANISTS(3) B AA1 - T AH0 - N IH0 S +BOTANY B AA1 - T AH0 - N IY0 +BOTCH B AA1 CH +BOTCHED B AA1 CH T +BOTELER B AA1 - T AH0 L - ER0 +BOTELHO B OW0 - T EH1 - L OW0 +BOTELLO B OW0 - T EH1 - L OW0 +BOTERO B OW0 - T EH1 - R OW0 +BOTFLY B AA1 T - F L AY2 +BOTH B OW1 TH +BOTHA B AA1 - TH AH0 +BOTHA'S B AA1 - TH AH0 Z +BOTHA'S(2) B OW1 - T AH2 Z +BOTHA'S(3) B OW1 - T AH0 Z +BOTHA(2) B OW1 - T AH0 +BOTHA(3) B OW1 - T AH2 +BOTHAM B AA1 - TH AH0 M +BOTHAM'S B AA1 - TH AH0 M Z +BOTHE B OW1 DH +BOTHELL B AA1 - TH AH0 L +BOTHER B AA1 - DH ER0 +BOTHERED B AA1 - DH ER0 D +BOTHERING B AA1 - DH ER0 - IH0 NG +BOTHERS B AA1 - DH ER0 Z +BOTHERSOME B AA1 - DH ER0 - S AH0 M +BOTHUN B AA1 - TH AH0 N +BOTHWELL B AA1 TH - W EH2 L +BOTIN B AA1 - T IH0 N +BOTKIN B AA1 T - K IH0 N +BOTKINS B AA1 T - K IH0 N Z +BOTNER B AA1 T - N ER0 +BOTOLF B AA1 - T OW0 L F +BOTOS B OW1 - T OW0 Z +BOTRYTIS B AH0 - T R IH1 - T IH0 S +BOTSFORD B AA1 T S - F ER0 D +BOTSHABELO B AA2 - CH AH0 - B EH1 - L OW0 +BOTSWANA B AA0 T - S W AA1 - N AH0 +BOTT B AA1 T +BOTTA B AA1 - T AH0 +BOTTARI B OW0 - T AA1 - R IY0 +BOTTCHER B AA1 T - CH ER0 +BOTTEL B AA1 - T AH0 L +BOTTEN B AA1 - T AH0 N +BOTTENFIELD B AH0 - T EH1 N - F IY0 L D +BOTTGER B AA1 T - G ER0 +BOTTING B AA1 - T IH0 NG +BOTTINI B OW0 - T IY1 - N IY0 +BOTTINO B OW0 - T IY1 - N OW0 +BOTTLE B AA1 - T AH0 L +BOTTLED B AA1 - T AH0 L D +BOTTLENECK B AA1 - T AH0 L - N EH2 K +BOTTLENECKS B AA1 - T AH0 L - N EH2 K S +BOTTLER B AA1 T - L ER0 +BOTTLERS B AA1 T - L ER0 Z +BOTTLERS' B AA1 T - L ER0 Z +BOTTLES B AA1 - T AH0 L Z +BOTTLING B AA1 - T AH0 L - IH0 NG +BOTTLING(2) B AA1 T - L IH0 NG +BOTTOM B AA1 - T AH0 M +BOTTOM'S B AA1 - T AH0 M Z +BOTTOMED B AA1 - T AH0 M D +BOTTOMFISH B AA1 - T AH0 M - F IH2 SH +BOTTOMING B AA1 - T AH0 - M IH0 NG +BOTTOMLESS B AA1 - T AH0 M - L AH0 S +BOTTOMLEY B AA1 - T AH0 M - L IY0 +BOTTOMS B AA1 - T AH0 M Z +BOTTONE B OW0 - T OW1 - N IY0 +BOTTORF B AA1 - T ER0 F +BOTTORFF B AA1 - T ER0 F +BOTTRELL B AA1 - T R AH0 L +BOTTS B AA1 T S +BOTULISM B AA1 - CH UW0 - L IH2 - Z AH0 M +BOTZ B AA1 T S +BOUCH B AW1 CH +BOUCHARD B UW0 - SH AA1 R D +BOUCHE B AW1 CH +BOUCHER B UW1 - SH AH0 +BOUCHER(2) B AW1 - CH ER0 +BOUCHER(3) B AO1 - CH ER0 +BOUCHEY B UW0 - SH IY1 +BOUCHIE B AW1 - CH IY0 +BOUCHILLON B AW1 - CH IH0 - L AA0 N +BOUCK B OW1 K +BOUDIN B UW1 - D IH0 N +BOUDOIN B UW0 - D OY1 N +BOUDOIR B UW1 - D OY2 R +BOUDREAU B UW2 - D R OW1 +BOUDREAUX B UW2 - D R OW1 +BOUFFARD B UW0 - F AA1 R D +BOUGAINVILLE B UW1 - G IH0 N - V IH2 L +BOUGAINVILLEA B UW2 - G EY2 N - V IH1 - L IY0 - AH0 +BOUGH B AW1 +BOUGHAN B AW1 - AH0 N +BOUGHER B AW1 - ER0 +BOUGHMAN B AW1 - M AH0 N +BOUGHNER B AW1 - N ER0 +BOUGHS B AW1 Z +BOUGHT B AA1 T +BOUGHT(2) B AO1 T +BOUGHTEN B AO1 - T AH0 N +BOUGHTER B AO1 - T ER0 +BOUGHTON B AW1 - T AH0 N +BOUGIE B UW1 - ZH IY2 +BOUIE B UW0 - IY1 +BOUILLON B UW2 - W IH1 - L AH0 N +BOUKNIGHT B AW1 K - N AY0 T +BOULAIS B UW0 - L EY1 +BOULALAS B UW1 - L AH0 - L AH0 S +BOULANGER B AW1 - L AH0 - NG ER0 +BOULANGERIE B UW2 - L AE1 NG - G ER0 - IY0 +BOULAY B UW0 - L EY1 +BOULDEN B UH1 - D AH0 N +BOULDER B OW1 L - D ER0 +BOULDERS B OW1 L - D ER0 Z +BOULE B UW1 L +BOULER B AW1 - L ER0 +BOULET B UW0 - L EH1 T +BOULETTE B UW2 - L EH1 T +BOULEVARD B UH1 - L AH0 - V AA2 R D +BOULEVARDS B UH1 - L AH0 - V AA2 R D Z +BOULEY B UW0 - L IY1 +BOULEZ B UW1 - L EH2 Z +BOULIER B UW1 - L IY0 - ER0 +BOULLION B UW1 - L Y AH0 N +BOULOS B UW0 - L OW1 Z +BOULTER B OW1 L - T ER0 +BOULTINGHOUSE B AW1 L - T IH0 NG - HH AW2 S +BOULTON B AW1 L - T AH0 N +BOULWARE B AW1 L - W EH0 R +BOUMA B OW1 - M AH0 +BOUMAN B UW0 - M AE1 N +BOUNCE B AW1 N S +BOUNCED B AW1 N S T +BOUNCER B AW1 N - S ER0 +BOUNCERS B AW1 N - S ER0 Z +BOUNCES B AW1 N - S IH0 Z +BOUNCINESS B AW1 N - S IY0 - N AH0 S +BOUNCING B AW1 N - S IH0 NG +BOUNCY B AW1 N - S IY0 +BOUND B AW1 N D +BOUNDARIES B AW1 N - D ER0 - IY0 Z +BOUNDARIES(2) B AW1 N - D R IY0 Z +BOUNDARY B AW1 N - D ER0 - IY0 +BOUNDARY(2) B AW1 N - D R IY0 +BOUNDED B AW1 N - D AH0 D +BOUNDED(2) B AW1 N - D IH0 D +BOUNDER B AW1 N - D ER0 +BOUNDING B AW1 N - D IH0 NG +BOUNDLESS B AW1 N D - L AH0 S +BOUNDS B AW1 N D Z +BOUNDY B AW1 N - D IY0 +BOUNTIES B AW1 N - T IY0 Z +BOUNTIFUL B AW1 N - T IH0 - F AH0 L +BOUNTIFUL(2) B AW1 - N IH0 - F AH0 L +BOUNTY B AW1 N - T IY0 +BOUQUET B UW0 - K EY1 +BOUQUETS B OW0 - K EY1 Z +BOUQUETS(2) B UW0 - K EY1 Z +BOUR B AW1 R +BOURASSA B UH0 - R AA1 - S AH0 +BOURBEAU B UH0 R - B OW1 +BOURBON B ER1 - B AH0 N +BOURBONS B ER1 - B AH0 N Z +BOURCIER B AW1 R - K IY0 - ER0 +BOURDEAU B UH0 R - D OW1 +BOURG B AO1 R G +BOURGAULT B UH0 R - G OW1 +BOURGEOIS B UH0 R - ZH W AA1 +BOURGEOIS(2) B UH1 R - ZH W AA0 +BOURGEOISIE B UH2 R - ZH W AA2 - Z IY1 +BOURGET B UH0 R - ZH EH1 T +BOURGOIN B UH0 R - G OY1 N +BOURGUIBA B AO0 R - G W IY1 - B AH0 +BOURGUIGNON B UH2 R - G IY0 - N Y OW1 N +BOURKE B ER1 K +BOURLAND B UH0 R - L AE1 N D +BOURN B AO1 R N +BOURNE B AO1 R N +BOURNEWOOD B AO1 R N - W UH2 D +BOURNIAS B AO1 R - N IY0 - AH0 S +BOURNONVILLE B AO1 R - N AH0 N - V IH2 L +BOURQUE B UH1 R K +BOURQUIN B UH0 R - K W AE1 N +BOURRET B UH0 - R EH1 T +BOURSE B AO1 R S +BOURSE'S B AO1 R - S IH0 Z +BOURSES B AO1 R - S IH0 Z +BOURSICOT B UW1 R - S IH0 - K AO2 T +BOURSICOT(2) B AH1 R - S AH0 - K AO0 T +BOUSE B AW1 S +BOUSKA B UW1 - S K AH0 +BOUSMAN B AH0 S - M AE1 N +BOUSQUET B UW0 - S K EH1 T +BOUSSAC B UW1 - S AE0 K +BOUSTANY B UW1 - S T AH0 - N IY0 +BOUT B AW1 T +BOUTELL B UW0 - T EH1 L +BOUTELLE B UW2 - T EH1 L +BOUTHILLIER B AW1 - TH AH0 - L IY0 - ER0 +BOUTILIER B AW1 - T AH0 - L IY0 - ER0 +BOUTIN B UW0 - T AE1 N +BOUTIQUE B UW0 - T IY1 K +BOUTIQUES B UW0 - T IY1 K S +BOUTON B AW1 - T AH0 N +BOUTROS B UW1 - T R OW2 S +BOUTS B AW1 T S +BOUTTE B UW1 T +BOUTWELL B AW1 T - W EH2 L +BOUVIER B UW2 - V IY0 - EY1 +BOUWENS B AW1 - AH0 N Z +BOUWKAMP B AW1 - K AE2 M P +BOUWMAN B AW1 - M AH0 N +BOUWSMA B UW1 Z - M AH0 +BOUYER B OY1 - ER0 +BOUYGUES B OY1 - ZH EY1 +BOUYGUES(2) B OY1 - G EH1 Z +BOUZA B UW1 - Z AH0 +BOVA B OW1 - V AH0 +BOVARD B AH0 - V AA1 R D +BOVE B OW1 V +BOVEE B AH1 - V IY0 +BOVEN B AH1 - V AH0 N +BOVENZI B OW0 - V EH1 N - Z IY0 +BOVERI B OW0 - V EH1 - R IY0 +BOVESPA B OW1 V - S P AA0 +BOVEY B OW1 - V IY0 +BOVIK B OW1 - V IH0 K +BOVIN B OW1 - V IH0 N +BOVINE B OW1 - V AY2 N +BOVINO B OW0 - V IY1 - N OW0 +BOW B AW1 +BOW(2) B OW1 +BOWAR B OW1 - ER0 +BOWARD B OW1 - ER0 D +BOWATER B AW1 - AH2 - T ER0 +BOWATER(2) B OW1 - AO1 - T ER0 +BOWATER(3) B OW1 - W AO1 - T ER0 +BOWCAN B OW1 - K AH0 N +BOWDEN B OW1 - D AH0 N +BOWDEN(2) B AW1 - D AH0 N +BOWDISH B OW1 - D IH0 SH +BOWDITCH B OW1 - D IH0 CH +BOWDLE B OW1 - D AH0 L +BOWDOIN B OW0 - D OY1 N +BOWE B OW1 +BOWED B AW1 D +BOWED(2) B OW1 D +BOWEL B AW1 - AH0 L +BOWELL B AA1 - W EH0 L +BOWELS B AW1 - AH0 L Z +BOWELS(2) B AW1 L Z +BOWEN B OW1 - AH0 N +BOWENS B OW1 - AH0 N Z +BOWER B AW1 - ER0 +BOWERMAN B OW1 - ER0 - M AH0 N +BOWERMASTER B OW1 - ER0 - M AE0 - S T ER0 +BOWERS B AW1 - ER0 Z +BOWERSOCK B OW0 - ER1 - S AH0 K +BOWERSOX B OW0 - ER1 - S AA0 K S +BOWERY B AW1 - ER0 - IY0 +BOWERY'S B AW1 - ER0 - IY0 Z +BOWES B OW1 Z +BOWICK B OW1 - IH0 K +BOWIE B OW1 - IY0 +BOWING B OW1 - IH0 NG +BOWING(2) B AW1 - IH0 NG +BOWKER B OW1 - K ER0 +BOWL B OW1 L +BOWLAND B OW1 - L AH0 N D +BOWLBY B OW1 L - B IY0 +BOWLDS B OW1 L D Z +BOWLED B OW1 L D +BOWLEN B OW1 - L AH0 N +BOWLER B OW1 - L ER0 +BOWLERS B OW1 - L ER0 Z +BOWLES B OW1 L Z +BOWLEY B OW1 - L IY0 +BOWLIN B OW1 - L IH0 N +BOWLING B OW1 - L IH0 NG +BOWLING'S B OW1 - L IH0 NG Z +BOWLS B OW1 L Z +BOWLUS B OW1 - L AH0 S +BOWMAN B OW1 - M AH0 N +BOWMAN'S B OW1 - M AH0 N Z +BOWMEN B OW1 - M AH0 N +BOWMER B OW1 - M ER0 +BOWN B OW1 N +BOWNDS B OW1 N D Z +BOWNE B OW1 N +BOWRING B OW1 - R IH0 NG +BOWRON B OW1 - R AH0 N +BOWRON(2) B OW1 - R AA2 N +BOWS B AW1 Z +BOWS(2) B OW1 Z +BOWSE B OW1 S +BOWSED B AW1 Z D +BOWSER B OW1 - Z ER0 +BOWSES B AW1 - Z IH0 Z +BOWSHER B OW1 - SH ER0 +BOWSING B AW1 - Z IH0 NG +BOWYER B OW1 - Y ER0 +BOX B AA1 K S +BOXBERGER B AA1 K S - B ER0 - G ER0 +BOXCAR B AA1 K S - K AA2 R +BOXCARS B AA1 K S - K AA2 R Z +BOXED B AA1 K S T +BOXELL B AA1 K - S AH0 L +BOXER B AA1 K - S ER0 +BOXER'S B AA1 K - S ER0 Z +BOXERS B AA1 K - S ER0 Z +BOXES B AA1 K - S AH0 Z +BOXES(2) B AA1 K - S IH0 Z +BOXING B AA1 K - S IH0 NG +BOXING'S B AA1 K - S IH0 NG Z +BOXLEY B AA1 K S - L IY0 +BOXWELL B AA1 K S - W EH2 L +BOXWOOD B AA1 K S - W UH2 D +BOXX B AA1 K S +BOXY B AA1 K - S IY0 +BOY B OY1 +BOY'S B OY1 Z +BOY-AR-DEE B OY1 - AA1 R - D IY1 +BOYACK B OY1 - AH0 K +BOYAJIAN B OY0 - AE1 - JH IY0 - AH0 N +BOYAN B OY1 - AA0 N +BOYAR B OW0 - Y AA1 R +BOYCE B OY1 S +BOYCOTT B OY1 - K AA2 T +BOYCOTTED B OY1 - K AA2 - T IH0 D +BOYCOTTING B OY1 - K AA2 - T IH0 NG +BOYCOTTS B OY1 - K AA2 T S +BOYD B OY1 D +BOYD'S B OY1 D Z +BOYDE B OY1 D +BOYDEN B OY1 - D AH0 N +BOYDSTON B OY1 D - S T AH0 N +BOYDSTUN B OY1 D - S T AH0 N +BOYE B OY1 +BOYEA B OY1 - IY0 - AH0 +BOYER B OY1 - ER0 +BOYERS B OY1 - ER0 Z +BOYES B OY1 Z +BOYETT B OY1 - IH0 T +BOYETTE B OY1 - EH1 T +BOYFRIEND B OY1 - F R EH2 N D +BOYFRIENDS B OY1 - F R EH2 N D Z +BOYFRIENDS(2) B OY1 - F R EH2 N Z +BOYHOOD B OY1 - HH UH2 D +BOYINGTON B OY1 - IH0 NG - T AH0 N +BOYISH B OY1 - IH0 SH +BOYKIN B OY1 - K IH0 N +BOYKINS B OY1 - K IH0 N Z +BOYKO B OY1 - K OW0 +BOYLAN B OY1 - L AH0 N +BOYLAND B OY1 - L AH0 N D +BOYLE B OY1 L +BOYLEN B OY1 - L AH0 N +BOYLES B OY1 L Z +BOYLLS B OY1 L Z +BOYLSTON B OY1 L - S T AH0 N +BOYLSTON'S B OY1 L - S T AH0 N Z +BOYNE B OY1 N +BOYNTON B OY1 N - T AH0 N +BOYS B OY1 Z +BOYS' B OY1 Z +BOYSEL B OY1 - S AH0 L +BOYSEN B OY1 - S AH0 N +BOYSON B OY1 - Z AH0 N +BOYT B OY1 T +BOYTE B OY1 T +BOYTER B OY1 - T ER0 +BOYUM B OY0 - AH1 M +BOYZ B OY1 Z +BOZA B OW1 - Z AH0 +BOZARD B AH0 - Z AA1 R D +BOZARTH B AA1 - Z ER0 TH +BOZE B OW1 Z +BOZEK B OW1 - Z EH0 K +BOZELL B OW0 - Z EH1 L +BOZELL'S B OW0 - Z EH1 L Z +BOZEMAN B OW1 Z - M AH0 N +BOZIAN B OW1 - Z IY0 - AH0 N +BOZIC B AA1 - Z IH0 K +BOZICH B AA1 - Z IH0 HH +BOZMAN B AA1 Z - M AH0 N +BOZO B OW1 - Z OW2 +BOZOS B OW1 - Z OW2 Z +BOZTEPE B AA0 Z - T EH1 P +BOZTEPE(2) B OW0 Z - T EH1 P +BOZTEPE(3) B AA0 Z - T EH1 - P IY0 +BOZTEPE(4) B OW0 Z - T EH1 - P IY0 +BOZZA B AA1 - Z AH0 +BOZZI B AA1 - Z IY0 +BOZZO B AA1 - Z OW0 +BRA B R AA1 +BRAAKSMA B R AA1 K S - M AH0 +BRAASCH B R AA1 SH +BRAATEN B R AA1 - EY0 - T AH0 N +BRAATZ B R AA1 T S +BRABANT B R AA1 - B AH0 N T +BRABEC B R AA1 - B IH0 K +BRABENDER B R AE1 - B EH0 N - D ER0 +BRABHAM B R AE1 B - HH AH0 M +BRABSON B R AE1 B - S AH0 N +BRAC B R AE1 K +BRACAMONTE B R AE2 - K AH0 - M AA1 N - T IY0 +BRACAMONTE'S B R AE2 - K AH0 - M AA1 N - T IY0 Z +BRACAMONTES B R AE2 - K AH0 - M AA1 N - T IY0 Z +BRACCI B R AA1 - CH IY0 +BRACCO B R AE1 - K OW0 +BRACE B R EY1 S +BRACE'S B R EY1 - S IH0 Z +BRACED B R EY1 S T +BRACELET B R EY1 S - L AH0 T +BRACELETS B R EY1 S - L IH0 T S +BRACER B R EY1 - S ER0 +BRACERO B R AA0 - CH EH1 - R OW0 +BRACES B R EY1 - S AH0 Z +BRACES(2) B R EY1 - S IH0 Z +BRACEWELL B R EY1 S - W EH2 L +BRACEY B R EY1 - S IY0 +BRACH B R AE1 CH +BRACHER B R AE1 - K ER0 +BRACHER'S B R AE1 - K ER0 Z +BRACHFELD B R AA1 K - F EH2 L D +BRACHIOPOD B R EY1 - K IY0 - AH0 - P AA2 D +BRACHIOPODS B R EY1 - K IY0 - AH0 - P AA2 D Z +BRACHT B R AE1 K T +BRACING B R EY1 - S IH0 NG +BRACINGLY B R EY1 - S IH0 NG - G L IY0 +BRACK B R AE1 K +BRACKBILL B R AE1 K - B AH0 L +BRACKEEN B R AH0 - K IY1 N +BRACKEN B R AE1 - K AH0 N +BRACKENBURY B R AE1 - K AH0 N - B EH2 - R IY0 +BRACKENS B R AE1 - K AH0 N Z +BRACKER B R AE1 - K ER0 +BRACKET B R AE1 - K IH0 T +BRACKETS B R AE1 - K AH0 T S +BRACKETS(2) B R AE1 - K IH0 T S +BRACKETT B R AE1 - K IH0 T +BRACKIN B R AE1 - K IH0 N +BRACKINS B R AE1 - K IH0 N Z +BRACKISH B R AE1 - K IH0 SH +BRACKMAN B R AE1 K - M AH0 N +BRACKNELL B R AE0 K - N EH1 L +BRACKNEY B R AE1 K - N IY0 +BRACY B R EY1 - S IY0 +BRAD B R AE1 D +BRAD'S B R AE1 D Z +BRADBERRY B R AE1 D - B EH2 - R IY0 +BRADBURN B R AE1 D - B ER2 N +BRADBURY B R AE1 D - B EH2 - R IY0 +BRADCO B R AE1 D - K OW0 +BRADDOCK B R AE1 - D AH0 K +BRADDY B R AE1 - D IY0 +BRADEEN B R AH0 - D IY1 N +BRADEMAS B R AH0 - D EY1 - M AH0 S +BRADEN B R EY1 - D AH0 N +BRADENTON B R AE1 - D AH0 N - T AH0 N +BRADER B R AE1 - D ER0 +BRADFIELD B R AE1 D - F IY0 L D +BRADFORD B R AE1 D - F ER0 D +BRADFORD'S B R AE1 D - F ER0 D Z +BRADFORDS B R AE1 D - F ER0 D Z +BRADHAM B R AE1 D - HH AH0 M +BRADISH B R AE1 - D IH0 SH +BRADLEE B R AE1 D - L IY2 +BRADLEES B R AE1 D - L IY2 Z +BRADLEY B R AE1 D - L IY0 +BRADLEY'S B R AE1 D - L IY0 Z +BRADLEYS B R AE1 D - L IY0 Z +BRADNER B R AE1 D - N ER0 +BRADNEY B R AE1 D - N IY0 +BRADSHAW B R AE1 D - SH AO2 +BRADSHER B R AE1 D - SH ER0 +BRADSTREET B R AE1 D - S T R IY2 T +BRADSTREET'S B R AE1 D - S T R IY2 T S +BRADT B R AE1 D T +BRADTKE B R AE1 D - K IY0 +BRADTMILLER B R AE1 T - M IH2 - L ER0 +BRADWAY B R AE1 D - W EY2 +BRADWELL B R AE1 D - W EH2 L +BRADY B R EY1 - D IY0 +BRADY'S B R EY1 - D IY0 Z +BRADYCARDIA B R AE2 - D AH0 - K AA1 R - D IY0 - AH0 +BRADYCARDIA(2) B R AE2 - D IH0 - K AA1 R - D IY0 - AH0 +BRADYKININ B R AH0 - D IH1 - K IH0 - N IH0 N +BRADYS B R EY1 - D IY0 Z +BRAE B R EY1 +BRAENDSTROEM B R AE1 N D - S T R OW0 M +BRAER B R EY1 R +BRAFF B R AE1 F +BRAFFORD B R AE1 - F ER0 D +BRAG B R AE1 G +BRAGA B R AA1 - G AH0 +BRAGAN B R EY1 - G AH0 N +BRAGDON B R AE1 G - D AH0 N +BRAGER B R EY1 - G ER0 +BRAGG B R AE1 G +BRAGGADOCIO B R AE2 - G AH0 - D OW1 - SH IY0 - OW2 +BRAGGED B R AE1 G D +BRAGGER B R AE1 - G ER0 +BRAGGERS B R AE1 - G ER0 Z +BRAGGING B R AE1 - G IH0 NG +BRAGGIOTTI B R AE2 - Z IY0 - AA1 - T IY0 +BRAGGS B R AE1 G Z +BRAGS B R AE1 G Z +BRAHAM B R AE1 - HH AH0 M +BRAHM B R AA1 M +BRAHMIN B R AA1 - M IH0 N +BRAHMS B R AA1 M Z +BRAHMS'S B R AA1 M - Z IH0 Z +BRAID B R EY1 D +BRAIDED B R EY1 - D IH0 D +BRAIDING B R EY1 - D IH0 NG +BRAIDS B R EY1 D Z +BRAIDWOOD B R EY1 D - W UH2 D +BRAILEY B R EY1 - L IY0 +BRAILLE B R EY1 L +BRAILLES B R EY1 L Z +BRAILSFORD B R EY1 L S - F ER0 D +BRAIN B R EY1 N +BRAIN'S B R EY1 N Z +BRAINARD B R EY1 - N ER0 D +BRAINCHILD B R EY1 N - CH AY2 L D +BRAINED B R EY1 N D +BRAINER B R EY1 - N ER0 +BRAINERD B R EY1 - N ER0 D +BRAINLESS B R EY1 N - L IH0 S +BRAINPOWER B R EY1 N - P AW2 - ER0 +BRAINS B R EY1 N Z +BRAINSTORM B R EY1 N - S T AO2 R M +BRAINSTORMING B R EY1 N - S T AO2 R - M IH0 NG +BRAINTREE B R EY1 N - T R IY2 +BRAINWASH B R EY1 N - W AA2 SH +BRAINWASHED B R EY1 N - W AA2 SH T +BRAINWASHING B R EY1 N - W AA2 - SH IH0 NG +BRAINY B R EY1 - N IY0 +BRAISE B R EY1 Z +BRAISED B R EY1 Z D +BRAITHWAITE B R EY1 TH - W EY2 T +BRAJDAS B R AY1 - D AH0 S +BRAJOVIC B R AA1 - JH OW0 - V IH0 CH +BRAKE B R EY1 K +BRAKEBILL B R EY1 K - B IH2 L +BRAKED B R EY1 K T +BRAKEFIELD B R EY1 K - F IY2 L D +BRAKEMAN B R EY1 K - M AH0 N +BRAKEMEN B R EY1 K - M EH0 N +BRAKER B R EY1 - K ER0 +BRAKES B R EY1 K S +BRAKING B R EY1 - K IH0 NG +BRAKKE B R AE1 K +BRALEY B R AE1 - L IY0 +BRALLEY B R AE1 - L IY0 +BRALLIER B R AE1 - L IY0 - ER0 +BRALORNE B R AE1 - L AO0 R N +BRALY B R AA1 - L IY0 +BRAM B R AE1 M +BRAMAH B R AA1 - M AH0 +BRAMALEA B R AE2 - M AH0 - L IY1 - AH0 +BRAMALEA'S B R AE1 - M AH0 - L IY2 Z +BRAMAN B R EY1 - M AH0 N +BRAMBILA B R AA0 M - B IY1 - L AH0 +BRAMBLE B R AE1 M - B AH0 L +BRAMBLES B R AE1 M - B AH0 L Z +BRAMBLETT B R AE1 M - B L IH0 T +BRAME B R EY1 M +BRAMEL B R AE1 - M AH0 L +BRAMER B R EY1 - M ER0 +BRAMHALL B R AE1 M - HH AH0 L +BRAMLAGE B R AE1 M - L IH0 JH +BRAMLET B R AE1 M - L IH0 T +BRAMLETT B R AE1 M - L IH0 T +BRAMLETTE B R AE2 M - L EH1 T +BRAMLEY B R AE1 M - L IY0 +BRAMMEIER B R AE1 - M AY0 - ER0 +BRAMMER B R AE1 - M ER0 +BRAMPTON B R AE1 M P - T AH0 N +BRAMS B R AE1 M Z +BRAMSON B R AE1 M - S AH0 N +BRAMWELL B R AE1 M - W EH2 L +BRAN B R AE1 N +BRANAGAN B R AE1 - N AH0 - G AE0 N +BRANAGH B R AE1 - N AH0 G +BRANAM B R AE1 - N AH0 M +BRANAMAN B R AE1 - N AH0 - M AH0 N +BRANAN B R EY1 - N AH0 N +BRANCA B R AE1 NG - K AH0 +BRANCACCIO B R AA0 N - K AA1 - CH IY0 - OW0 +BRANCATO B R AA0 N - K AA1 - T OW0 +BRANCH B R AE1 N CH +BRANCH'S B R AE1 N - CH IH0 Z +BRANCHE B R AE1 N CH +BRANCHEAU B R AH0 N - SH OW1 +BRANCHED B R AE1 N CH T +BRANCHES B R AE1 N - CH AH0 Z +BRANCHES(2) B R AE1 N - CH IH0 Z +BRANCHING B R AE1 N - CH IH0 NG +BRANCHLET B R AE1 N CH - L AH0 T +BRANCHLETS B R AE1 N CH - L AH0 T S +BRANCO B R AE1 NG - K OW0 +BRAND B R AE1 N D +BRAND'S B R AE1 N D Z +BRANDA B R AE1 N - D AH0 +BRANDAU B R AE1 N - D AW0 +BRANDE B R AE1 N D +BRANDEBERRY B R AE1 N D - B EH0 - R IY0 +BRANDED B R AE1 N - D IH0 D +BRANDEIS B R AE1 N - D AY0 S +BRANDEL B R AE1 N - D AH0 L +BRANDEN B R AE1 N - D AH0 N +BRANDENBERG B R AE1 N - D AH0 N - B ER0 G +BRANDENBERGER B R AE1 N - D AH0 N - B ER0 - G ER0 +BRANDENBURG B R AE1 N - D AH0 N - B ER0 G +BRANDENBURGER B R AE1 N - D AH0 N - B ER0 - G ER0 +BRANDENSTEIN B R AE1 N - D EH0 N - S T AY2 N +BRANDENSTEIN(2) B R AE1 N - D EH0 N - S T IY2 N +BRANDER B R AE1 N - D ER0 +BRANDES B R AE1 N D Z +BRANDFORD B R AE1 N D - F ER0 D +BRANDHORST B R AE1 N D - HH AO0 R S T +BRANDI B R AE1 N - D IY0 +BRANDING B R AE1 N - D IH0 NG +BRANDIS B R AE1 N - D IH0 S +BRANDISH B R AE1 N - D IH0 SH +BRANDISHED B R AE1 N - D IH0 SH T +BRANDISHES B R AE1 N - D IH0 - SH IH0 Z +BRANDISHING B R AE1 N - D IH0 - SH IH0 NG +BRANDL B R AE1 N - D AH0 L +BRANDLE B R AE1 N - D AH0 L +BRANDNAME B R AE1 N D - N EY2 M +BRANDNER B R AE1 N D - N ER0 +BRANDO B R AE1 N - D OW0 +BRANDO'S B R AE1 N - D OW0 Z +BRANDON B R AE1 N - D AH0 N +BRANDON'S B R AE1 N - D AH0 N Z +BRANDOW B R AE1 N - D AW2 +BRANDS B R AE1 N D Z +BRANDS' B R AE1 N D Z +BRANDS'S B R AE1 N D - Z IH0 Z +BRANDSTETTER B R AE1 N D - S T IH0 - T ER0 +BRANDT B R AE1 N T +BRANDTNER B R AE1 N T - N ER0 +BRANDVOLD B R AE1 N D - V OW2 L D +BRANDWEIN B R AE1 N D - W AY2 N +BRANDY B R AE1 N - D IY0 +BRANDYWINE B R AE1 N - D IY0 - W AY2 N +BRANER B R EY1 - N ER0 +BRANFORD B R AE1 N - F ER0 D +BRANHAM B R AE1 N - HH AH0 M +BRANI B R AE1 NG - K IY0 +BRANIFF B R AE1 - N IH0 F +BRANIFF'S B R AE1 - N IH0 F S +BRANIGAN B R AE1 - N IH0 - G AH0 N +BRANIN B R AE1 - N IH0 N +BRANISLOV B R AE1 - N IH0 - S L AA2 V +BRANITZKY B R AH0 - N IH1 T S - K IY1 +BRANK B R AE1 NG K +BRANKO B R AE1 NG - K OW0 +BRANN B R AE1 N +BRANNA B R AE1 - N AH0 +BRANNAM B R AE1 - N AH0 M +BRANNAN B R AE1 - N AH0 N +BRANNEN B R AE1 - N AH0 N +BRANNER B R AE1 - N ER0 +BRANNICK B R AE1 - N IH0 K +BRANNIGAN B R AE1 - N IH0 - G AH0 N +BRANNING B R AE1 - N IH0 NG +BRANNOCK B R AE1 - N AH0 K +BRANNON B R AE1 - N AH0 N +BRANNUM B R AE1 - N AH0 M +BRANON B R AE1 - N AH0 N +BRANSCOM B R AE1 N S - K AH0 M +BRANSCOMB B R AE1 N S - K AH0 M +BRANSCOME B R AE1 N Z - K AH2 M +BRANSCUM B R AE1 N S - K AH0 M +BRANSFIELD B R AE1 N Z - F IY2 L D +BRANSFORD B R AE1 N S - F ER0 D +BRANSOM B R AE1 N - S AH0 M +BRANSON B R AE1 N - S AH0 N +BRANSON'S B R AE1 N - S AH2 N Z +BRANSTAD B R AE1 N - S T AE2 D +BRANSTETTER B R AE1 N - S T IH0 - T ER0 +BRANT B R AE1 N T +BRANTLEY B R AE1 N T - L IY0 +BRANTLY B R AE1 N T - L IY0 +BRANTNER B R AE1 N T - N ER0 +BRANTON B R AE1 N - T AH0 N +BRANUM B R AE1 - N AH0 M +BRANYON B R AE1 - N Y AH0 N +BRANZ B R AE1 N Z +BRAQUE B R AE1 K +BRAS B R AE1 S +BRAS(2) B R AA1 S +BRASCADE B R AH0 - S K EY1 D +BRASCAN B R AE1 S - K AH0 N +BRASCH B R AE1 SH +BRASE B R EY1 Z +BRASEL B R AE1 - S AH0 L +BRASELTON B R AH0 - S EH1 L - T AH0 N +BRASFIELD B R AE1 S - F IY0 L D +BRASH B R AE1 SH +BRASHEAR B R AE1 - SH IH0 R +BRASHEARS B R AE1 - SH IH0 R Z +BRASHER B R AE1 - SH ER0 +BRASHERS B R AE1 - SH ER0 Z +BRASHIER B R AE1 - SH IY0 - ER0 +BRASHNESS B R AE1 SH - N AH0 S +BRASIL B R AE1 - S AH0 L +BRASIL(2) B R AH0 - S IY1 L +BRASILIA B R AH0 - Z IH1 - L Y AH0 +BRASILIA(2) B R AH0 - S IH1 - L Y AH0 +BRASINGTON B R AE1 - S IH0 NG - T AH0 N +BRASOW B R AE1 - S OW0 +BRASOW(2) B R AE1 - Z OW0 +BRASS B R AE1 S +BRASSARD B R AE1 - S ER0 D +BRASSEAUX B R AH0 - S OW1 +BRASSELL B R AE1 - S AH0 L +BRASSERIE B R AE1 - S ER0 - IY0 +BRASSEUR B R AE1 - S ER0 +BRASSFIELD B R AE1 S - F IY2 L D +BRASSO B R AE1 - S OW0 +BRASSO'S B R AE1 - S OW0 Z +BRASSY B R AE1 - S IY0 +BRASWELL B R AE1 S - W EH0 L +BRAT B R AE1 T +BRATCHER B R AE1 - CH ER0 +BRATON B R AE1 - T IH0 N +BRATS B R AE1 T S +BRATSCH B R AE1 CH +BRATT B R AE1 T +BRATTAIN B R AH0 - T EY1 N +BRATTASLAVA B R AA2 - T AH0 S - L AA1 - V AH0 +BRATTASLAVA'S B R AA2 - T AH0 S - L AA1 - V AH0 Z +BRATTEN B R AE1 - T AH0 N +BRATTIN B R AE1 - T IH0 N +BRATTLE B R AE1 - T AH0 L +BRATTON B R AE1 - T AH0 N +BRATWURST B R AE1 T - W ER0 S T +BRATZ B R AE1 T S +BRAU B R AW1 +BRAUCH B R AO1 CH +BRAUCHER B R AO1 - CH ER0 +BRAUCHLI B R AO1 CH - L IY0 +BRAUD B R AO1 D +BRAUDE B R AO1 D +BRAUER B R AW1 - ER0 +BRAUGHTON B R AO1 - T AH0 N +BRAULT B R AO1 L T +BRAUN B R AO1 N +BRAUN'S B R AO1 N Z +BRAUND B R AO1 N D +BRAUNE B R AO1 N +BRAUNER B R AO1 - N ER0 +BRAUNS B R AO1 N Z +BRAUNSCHWEIG B R AW1 N SH - W AY0 G +BRAUNSTEIN B R AO1 N - S T IY2 N +BRAUNSTEIN(2) B R AO1 N - S T AY2 N +BRAUNWALD B R AO1 N - W AO2 L D +BRAUSE B R AO1 Z +BRAUTIGAM B R OW1 - T IH0 - G AH0 M +BRAUTIGAMS B R AO1 - T IH0 - G AE0 M Z +BRAVADO B R AH0 - V AA1 - D OW0 +BRAVE B R EY1 V +BRAVED B R EY1 V D +BRAVEHEART B R EY1 V - HH AA0 R T +BRAVELY B R EY1 V - L IY0 +BRAVER B R EY1 - V ER0 +BRAVERMAN B R EY1 - V ER0 - M AH0 N +BRAVERY B R EY1 - V ER0 - IY0 +BRAVES B R EY1 V Z +BRAVES' B R EY1 V Z +BRAVEST B R EY1 - V AH0 S T +BRAVING B R EY1 - V IH0 NG +BRAVO B R AA1 - V OW0 +BRAVURA B R AH0 - V Y UH1 - R AH0 +BRAWER B R AO1 - ER0 +BRAWL B R AO1 L +BRAWLEY B R AO1 - L IY0 +BRAWLING B R AO1 - L IH0 NG +BRAWLS B R AO1 L Z +BRAWN B R AO1 N +BRAWNER B R AO1 - N ER0 +BRAWNY B R AO1 - N IY0 +BRAXTON B R AE1 K - S T AH0 N +BRAY B R EY1 +BRAYBOY B R EY1 - B OY2 +BRAYER B R EY1 - ER0 +BRAYFIELD B R EY1 - F IY2 L D +BRAYMAN B R EY1 - M AH0 N +BRAYTON B R EY1 - T AH0 N +BRAZ B R AE1 Z +BRAZDA B R AE1 Z - D AH0 +BRAZEAL B R AH0 - Z IY1 L +BRAZEAU B R AH0 - Z OW1 +BRAZEE B R AE1 - Z IY0 +BRAZEL B R AE1 - Z AH0 L +BRAZELL B R AE1 - Z AH0 L +BRAZELTON B R AH0 - Z EH1 L - T AH0 N +BRAZEN B R EY1 - Z AH0 N +BRAZENLY B R EY1 - Z AH0 N - L IY0 +BRAZIEL B R AH0 - Z IY1 L +BRAZIER B R EY1 - Z IY0 - ER0 +BRAZIERS B R EY1 - ZH ER0 Z +BRAZIL B R AH0 - Z IH1 L +BRAZIL'S B R AH0 - Z IH1 L Z +BRAZILE B R AA1 - Z AY0 L +BRAZILIAN B R AH0 - Z IH1 - L Y AH0 N +BRAZILIANS B R AH0 - Z IH1 - L Y AH0 N Z +BRAZILL B R AE1 - Z AH0 L +BRAZOS B R AA1 - Z OW0 S +BRAZZAVILLE B R AE1 - Z AH0 - V IH0 L +BRAZZEL B R AE1 - Z AH0 L +BRAZZELL B R AE1 - Z AH0 L +BRCA B R IH1 - K AH0 +BRCKO B ER1 CH - K OW0 +BRCKO'S B ER1 CH - K OW0 Z +BREA B R IY1 +BREACH B R IY1 CH +BREACHED B R IY1 CH T +BREACHES B R IY1 - CH IH0 Z +BREACHING B R IY1 - CH IH0 NG +BREAD B R EH1 D +BREADBASKET B R EH1 D - B AE2 - S K AH0 T +BREADBOX B R EH1 D - B AA2 K S +BREADED B R EH1 - D IH0 D +BREADFRUIT B R EH1 D - F R UW2 T +BREADING B R EH1 - D IH0 NG +BREADS B R EH1 D Z +BREADTH B R EH1 D TH +BREADWINNER B R EH1 D - W IH2 - N ER0 +BREADWINNERS B R EH1 D - W IH2 - N ER0 Z +BREADY B R EH1 - D IY0 +BREAK B R EY1 K +BREAKABLE B R EY1 - K AH0 - B AH0 L +BREAKAGE B R EY1 - K IH0 JH +BREAKAWAY B R EY1 K - AH0 - W EY2 +BREAKDOWN B R EY1 K - D AW2 N +BREAKDOWNS B R EY1 K - D AW2 N Z +BREAKER B R EY1 - K ER0 +BREAKERS B R EY1 - K ER0 Z +BREAKEVEN B R EY1 - K IY2 - V AH0 N +BREAKEY B R EY1 - K IY0 +BREAKFAST B R EH1 K - F AH0 S T +BREAKFASTS B R EH1 K - F AH0 S T S +BREAKFIELD B R EY1 K - F IY2 L D +BREAKING B R EY1 - K IH0 NG +BREAKMATE B R EY1 K - M EY2 T +BREAKNECK B R EY1 K - N EH2 K +BREAKOUT B R EY1 K - AW2 T +BREAKOUTS B R EY1 K - AW2 T S +BREAKS B R EY1 K S +BREAKTHROUGH B R EY1 K - TH R UW2 +BREAKTHROUGHS B R EY1 K - TH R UW2 Z +BREAKUP B R EY1 K - AH2 P +BREAKUPS B R EY1 K - AH0 P S +BREAKWATER B R EY1 K - W AO2 - T ER0 +BREAKY B R EY1 - K IY0 +BREAM B R IY1 M +BREAN B R IY1 N +BREARLEY B R ER1 - L IY0 +BREAST B R EH1 S T +BREASTED B R EH1 - S T AH0 D +BREASTED(2) B R EH1 - S T IH0 D +BREASTFED B R EH1 S T - F EH2 D +BREASTFEED B R EH1 S T - F IY0 D +BREASTFEEDING B R EH1 S T - F IY0 - D IH0 NG +BREASTFEEDING'S B R EH1 S T - F IY0 - D IH0 NG Z +BREASTFEEDS B R EH1 S T - F IY0 D Z +BREASTING B R EH1 - S T IH0 NG +BREASTPLATE B R EH1 S T - P L EY2 T +BREASTS B R EH1 S T S +BREATH B R EH1 TH +BREATHE B R IY1 DH +BREATHED B R IY1 DH D +BREATHER B R IY1 - DH ER0 +BREATHES B R IY1 DH Z +BREATHING B R IY1 - DH IH0 NG +BREATHLESS B R EH1 TH - L AH0 S +BREATHLESSLY B R EH1 TH - L AH0 S - L IY0 +BREATHS B R EH1 TH S +BREATHTAKING B R EH1 TH - T EY2 - K IH0 NG +BREATHTAKINGLY B R EH1 TH - T EY2 - K IH0 NG - L IY0 +BREATHY B R EH1 - TH IY0 +BREAU B R OW1 +BREAULT B R OW1 +BREAUX B R OW1 +BREAUX(2) B R UW1 +BREAZEALE B R IY1 - Z IY2 L +BREBACH B R EH1 - B AH0 K +BRECHBILL B R EH1 K - B AH0 L +BRECHEEN B R EH1 - K IY0 N +BRECHEISEN B R EH1 - K AY0 - S AH0 N +BRECHER B R EH1 - K ER0 +BRECHT B R EH1 K T +BRECHTEL B R EH1 K - T AH0 L +BRECK B R EH1 K +BRECKENRIDGE B R EH1 - K AH0 N - R IH2 JH +BRECKER B R EH1 - K ER0 +BRECO B R EH1 - K OW0 +BRED B R EH1 D +BREDA B R EY1 - D AH0 +BREDE B R IY1 D +BREDEN B R IY1 - D AH0 N +BREDESON B R EH1 - D IH0 - S AH0 N +BREE B R IY1 +BREECE B R IY1 S +BREECH B R IY1 CH +BREED B R IY1 D +BREED'S B R IY1 D Z +BREEDEN B R IY1 - D AH0 N +BREEDEN'S B R IY1 - D AH0 N Z +BREEDER B R IY1 - D ER0 +BREEDERS B R IY1 - D ER0 Z +BREEDERS' B R IY1 - D ER0 Z +BREEDING B R IY1 - D IH0 NG +BREEDLOVE B R IY1 D - L AH2 V +BREEDS B R IY1 D Z +BREELAND B R IY1 - L AH0 N D +BREEN B R IY1 N +BREES B R IY1 Z +BREESE B R IY1 Z +BREEZE B R IY1 Z +BREEZED B R IY1 Z D +BREEZES B R IY1 - Z IH0 Z +BREEZEWAY B R IY1 Z - W EY2 +BREEZY B R IY1 - Z IY0 +BREGE B R IY1 JH +BREGER B R IY1 - G ER0 +BREGLIO B R EH1 G - L IY0 - OW0 +BREGMAN B R EH1 G - M AH0 N +BREGUET B R IY1 - G AH0 T +BREHM B R EH1 M +BREHMER B R EH1 - M ER0 +BREIDENBACH B R AY1 - D IH0 N - B AA0 K +BREIDENSTEIN B R AY1 - D AH0 N - S T AY0 N +BREIDENSTEIN(2) B R AY1 - D AH0 N - S T IY0 N +BREIER B R AY1 - ER0 +BREIGHNER B R EY1 - N ER0 +BREIGHTON B R AY1 - T AH0 N +BREINER B R AY1 - N ER0 +BREINING B R AY1 - N IH0 NG +BREININGER B R AY1 - N IH0 - NG ER0 +BREISCH B R AY1 SH +BREIT B R IY1 T +BREITBACH B R AY1 T - B AA2 K +BREITBARTH B R AY1 T - B AA2 R TH +BREITENBACH B R AY1 - T IH0 N - B AA0 K +BREITENSTEIN B R AY1 - T AH0 N - S T AY0 N +BREITENSTEIN(2) B R AY1 - T AH0 N - S T IY0 N +BREITHAUPT B R AY1 - TH AW0 P T +BREITKREUTZ B R AY1 T - K R OY2 T S +BREITLING B R AY1 - T AH0 L - IH0 NG +BREITLING(2) B R AY1 T - L IH0 NG +BREITMAN B R AY1 T - M AH0 N +BREITSCHWERDT B R AY1 CH - W ER0 T +BREITWEISER B R AY1 T - W AY2 - S ER0 +BREITZMAN B R AY1 T S - M AH0 N +BREKKE B R EH1 K +BRELAND B R EH1 - L AH0 N D +BRELSFORD B R EH1 L S - F ER0 D +BREM B R EH1 M +BREMEN B R EH1 - M AH0 N +BREMER B R IY1 - M ER0 +BREMMER B R EH1 - M ER0 +BREMNER B R EH1 M - N ER0 +BREMS B R EH1 M Z +BREN B R EH1 N +BRENDA B R EH1 N - D AH0 +BRENDA'S B R EH1 N - D AH0 Z +BRENDAN B R EH1 N - D AH0 N +BRENDEL B R EH1 N - D AH0 L +BRENDEN B R EH1 N - D AH0 N +BRENDER B R EH1 N - D ER0 +BRENDLE B R EH1 N - D AH0 L +BRENDLINGER B R EH1 N - D AH0 L - IH0 - NG ER0 +BRENDLINGER(2) B R EH1 N D - L IH0 - NG ER0 +BRENDOR B R EH1 N - D ER0 +BRENDSEL B R EH1 N D - S AH0 L +BRENEMAN B R IY1 N - M AH0 N +BRENER B R IY1 - N ER0 +BRENES B R IY1 N Z +BRENGLE B R IH1 - NG AH0 L +BRENIZER B R EH1 - N AY0 - Z ER0 +BRENN B R EH1 N +BRENNA B R EH1 - N AH0 +BRENNAN B R EH1 - N AH0 N +BRENNAN'S B R EH1 - N AH0 N Z +BRENNANS B R EH1 - N AH0 N Z +BRENNECKE B R EH1 - N IH0 K +BRENNEKE B R EH1 - N AH0 - K IY0 +BRENNEMAN B R EH1 N - M AH0 N +BRENNEN B R EH1 - N AH0 N +BRENNER B R EH1 - N ER0 +BRENNING B R EH1 - N IH0 NG +BRENSINGER B R EH1 N - S IH0 - NG ER0 +BRENT B R EH1 N T +BRENTANO B R EH2 N - T AA1 - N OW0 +BRENTANOS B R EH2 N - T AA1 - N OW0 Z +BRENTLINGER B R EH1 N - T AH0 L - IH0 - NG ER0 +BRENTLINGER(2) B R EH1 N T - L IH0 - NG ER0 +BRENTON B R EH1 N - T AH0 N +BRENTS B R EH1 N T S +BRENTWOOD B R EH1 N T - W UH2 D +BREON B R IY1 - AH0 N +BRESCA B R EH1 S - K AH0 +BRESCIA B R EH1 S - CH AH0 +BRESEE B R IH0 - S IY1 +BRESETTE B R IH0 - S EH1 T +BRESHEARS B R EH1 - SH IH0 R Z +BRESLAW B R EH1 S - L AA0 +BRESLER B R EH1 S - L ER0 +BRESLIN B R EH1 S - L IH0 N +BRESLOW B R EH1 S - L OW0 +BRESNAHAN B R EH1 S - N AH0 - HH AE0 N +BRESNAN B R EH1 S - N AH0 N +BRESNICK B R EH1 S - N IH0 K +BRESS B R EH1 S +BRESSE B R EH1 S +BRESSEAU B R EH1 - S OW0 +BRESSER B R EH1 - S ER0 +BRESSER'S B R EH1 - S ER0 Z +BRESSETTE B R EH2 - S EH1 T +BRESSLER B R EH1 S - L ER0 +BRESSMAN B R EH1 S - M AH0 N +BRESSON B R EH1 - S AH0 N +BREST B R EH1 S T +BRESTER B R EH1 - S T ER0 +BRET B R EH1 T +BRETH B R EH1 TH +BRETHAUER B R EH1 - TH AW0 - ER0 +BRETHEN B R IY1 - TH AH0 N +BRETHREN B R EH1 - DH R AH0 N +BRETON B R EH1 - T AH0 N +BRETSCHNEIDER B R EH1 CH - N AY0 - D ER0 +BRETT B R EH1 T +BRETTHAUER B R EH1 - TH AW0 - ER0 +BRETTON B R EH1 - T AH0 N +BRETTS B R EH1 T S +BRETTSCHNEIDER B R EH1 CH - N AY2 - D ER0 +BRETTSCHNEIDER(2) B R EH1 T S - N AY2 - D ER0 +BRETZ B R EH1 T S +BREUER B R UW1 - ER0 +BREUNIG B R UW1 - N IH0 G +BREUNINGER B R UW1 - N IH0 - NG ER0 +BREVARD B R EH1 - V ER0 D +BREVETS B R AH0 - V EH1 T S +BREVIG B R EH1 - V IH0 G +BREVIK B R EH1 - V IH0 K +BREVITY B R EH1 - V AH0 - T IY0 +BREW B R UW1 +BREWBAKER B R UW1 - B EY2 - K ER0 +BREWED B R UW1 D +BREWER B R UW1 - ER0 +BREWER'S B R UW1 - ER0 Z +BREWERIES B R UW1 - ER0 - IY0 Z +BREWERIES(2) B R UW1 - R IY0 Z +BREWERS B R UW1 - ER0 Z +BREWERS' B R UW1 - ER0 Z +BREWERY B R UW1 - ER0 - IY0 +BREWING B R UW1 - IH0 NG +BREWINGTON B R UW1 - IH0 NG - T AH0 N +BREWRY B R UW1 - R IY0 +BREWS B R UW1 Z +BREWSTER B R UW1 - S T ER0 +BREWTON B R UW1 - T AH0 N +BREY B R EY1 +BREYER B R EY1 - ER0 +BREYER'S B R EY1 - ER0 Z +BREYFOGLE B R EY1 - F OW2 - G AH0 L +BREZA B R EH1 - Z AH0 +BREZHNEV B R EH1 Z - N AH0 V +BREZHNEV'S B R EH1 Z - N AH0 V Z +BREZHNEV'S(2) B R EH1 Z - N EH0 F S +BREZHNEV(2) B R EH1 Z - N EH0 F +BREZINA B R EH0 - Z IY1 - N AH0 +BREZINSKI B R IH0 - Z IH1 N - S K IY0 +BRIA B R IY1 - AH0 +BRIAN B R AY1 - AH0 N +BRIAN'S B R AY1 - AH0 N Z +BRIANA B R IY0 - AE1 - N AH0 +BRIANA'S B R IY0 - AE1 - N AH0 Z +BRIANA'S(2) B R IY0 - AA1 - N AH0 Z +BRIANA(2) B R IY0 - AA1 - N AH0 +BRIANCON B R AY1 - AH0 N - S AH0 N +BRIAND B R AY1 - AH0 N D +BRIANNA B R IY0 - AE1 - N AH0 +BRIANNA'S B R IY0 - AE1 - N AH0 Z +BRIANT B R AY1 - AH0 N T +BRIAR B R AY1 - ER0 +BRIARCLIFF B R AY1 R K - L IH2 F +BRIBE B R AY1 B +BRIBED B R AY1 B D +BRIBERY B R AY1 - B ER0 - IY0 +BRIBES B R AY1 B Z +BRIC B R IH1 K +BRICCETTI B R IH0 - CH EH1 - T IY0 +BRICCO B R IH1 - K OW0 +BRICE B R AY1 S +BRICENO B R IY0 - CH EH1 - N OW0 +BRICK B R IH1 K +BRICKBAT B R IH1 K - B AE2 T +BRICKBATS B R IH1 K - B AE2 T S +BRICKEL B R IH1 - K AH0 L +BRICKELL B R IH1 - K AH0 L +BRICKER B R IH1 - K ER0 +BRICKEY B R IH1 - K IY0 +BRICKHOUSE B R IH1 K - HH AW2 S +BRICKLAYER B R IH1 K - L EY2 - ER0 +BRICKLAYERS B R IH1 K - L EY2 - ER0 Z +BRICKLE B R IH1 - K AH0 L +BRICKLER B R IH1 K - L ER0 +BRICKLEY B R IH1 K - L IY0 +BRICKLIN B R IH1 K - L IH0 N +BRICKLIN'S B R IH1 K - L IH0 N Z +BRICKMAN B R IH1 K - M AH0 N +BRICKNER B R IH1 K - N ER0 +BRICKS B R IH1 K S +BRICKYARD B R IH1 K - Y AA2 R D +BRICOM B R IH1 - K AH0 M +BRIDAL B R AY1 - D AH0 L +BRIDE B R AY1 D +BRIDE'S B R AY1 D Z +BRIDEAU B R IH0 - D OW1 +BRIDEGROOM B R AY1 D - G R UW2 M +BRIDEGROOM'S B R AY1 D - G R UW2 M Z +BRIDEN B R AY1 - D AH0 N +BRIDENBAUGH B R IH1 - D IH0 N - B AW0 +BRIDENSTINE B R IH1 - D IH0 N - S T IY0 N +BRIDES B R AY1 D Z +BRIDESBURG B R AY1 D Z - B AH0 R G +BRIDESMAID B R AY1 D Z - M EY2 D +BRIDESMAID'S B R AY1 D Z - M EY2 D Z +BRIDESMAIDS B R AY1 D Z - M EY2 D Z +BRIDESMAIDS' B R AY1 D Z - M EY2 D Z +BRIDGE B R IH1 JH +BRIDGE'S B R IH1 - JH IH0 Z +BRIDGED B R IH1 JH D +BRIDGEFORD B R IH1 JH - F AO0 R D +BRIDGEFORTH B R IH1 JH - F AO2 R TH +BRIDGEHEAD B R IH1 JH - HH EH2 D +BRIDGEMAN B R IH1 JH - M AH0 N +BRIDGEPORT B R IH1 JH - P AO2 R T +BRIDGER B R IH1 - JH ER0 +BRIDGERS B R IH1 - JH ER0 Z +BRIDGES B R IH1 - JH AH0 Z +BRIDGES(2) B R IH1 - JH IH0 Z +BRIDGESTONE B R IH1 JH - S T OW2 N +BRIDGESTONE'S B R IH1 JH - S T OW2 N Z +BRIDGET B R IH1 - JH AH0 T +BRIDGET'S B R IH1 - JH AH0 T S +BRIDGET(2) B R IH1 - JH IH0 T +BRIDGETON B R IH1 JH - T AH0 N +BRIDGETOWN B R IH1 JH - T AW2 N +BRIDGETT B R IH1 - JH IH0 T +BRIDGETTE B R IH1 - JH IH0 T +BRIDGETTE(2) B R IH2 - JH IY1 T +BRIDGEWATER B R IH1 JH - W AO2 - T ER0 +BRIDGHAM B R IH1 JH - HH AH0 M +BRIDGING B R IH1 - JH IH0 NG +BRIDGMAN B R IH1 JH - M AH0 N +BRIDIE B R IH1 - D IY0 +BRIDLE B R AY1 - D AH0 L +BRIDLED B R AY1 - D AH0 L D +BRIDWELL B R IH1 D - W EH2 L +BRIE B R IY1 +BRIEANT B R IY1 - AH0 N T +BRIEF B R IY1 F +BRIEFCASE B R IY1 F - K EY2 S +BRIEFCASES B R IY1 F - K EY2 - S IH0 Z +BRIEFED B R IY1 F T +BRIEFER B R IY1 - F ER0 +BRIEFERS B R IY1 - F ER0 Z +BRIEFEST B R IY1 - F AH0 S T +BRIEFING B R IY1 - F IH0 NG +BRIEFINGS B R IY1 - F IH0 NG Z +BRIEFLY B R IY1 F - L IY0 +BRIEFS B R IY1 F S +BRIEGEL B R IY1 - G AH0 L +BRIEGER B R IY1 - G ER0 +BRIEL B R IY1 L +BRIEN B R AY1 - IH0 N +BRIENZA B R IY1 N - Z AH0 +BRIER B R AY1 - ER0 +BRIERE B R IH1 R +BRIERLEY B R AY1 - ER0 - L IY0 +BRIERLY B R AY1 - ER0 - L IY0 +BRIESE B R IY1 Z +BRIETZKE B R IY1 T S - K IY0 +BRIG B R IH1 G +BRIGADE B R AH0 - G EY1 D +BRIGADE(2) B R IH0 - G EY1 D +BRIGADEER B R IH2 - G AH0 - D IH1 R +BRIGADES B R IH0 - G EY1 D Z +BRIGADIER B R IH2 - G AH0 - D IH1 R +BRIGANCE B R IH1 - G AH0 N S +BRIGANDI B R IH0 - G AE1 N - D IY0 +BRIGANTE B R IY0 - G AA1 N - T IY0 +BRIGANTI B R IH0 - G AE1 N - T IY0 +BRIGGS B R IH1 G Z +BRIGGSTONE B R IH1 G - S T OW0 N +BRIGHAM B R IH1 - G AH0 M +BRIGHAM'S B R IH1 - G AH0 M Z +BRIGHAMS B R IH1 - G AH0 M Z +BRIGHT B R AY1 T +BRIGHT'S B R AY1 T S +BRIGHTBILL B R AY1 T - B IH2 L +BRIGHTEN B R AY1 - T AH0 N +BRIGHTENED B R AY1 - T AH0 N D +BRIGHTENING B R AY1 - T AH0 N - IH0 NG +BRIGHTENING(2) B R AY1 T - N IH0 NG +BRIGHTENS B R AY1 - T AH0 N Z +BRIGHTER B R AY1 - T ER0 +BRIGHTEST B R AY1 - T AH0 S T +BRIGHTLY B R AY1 T - L IY0 +BRIGHTMAN B R AY1 T - M AH0 N +BRIGHTNESS B R AY1 T - N AH0 S +BRIGHTON B R AY1 - T AH0 N +BRIGHTWELL B R AY1 T - W EH2 L +BRIGITTE B R IH1 - JH IH0 T +BRIGMAN B R IH1 G - M AH0 N +BRIGNAC B R IH1 G - N AH0 K +BRIGNER B R AY1 G - N ER0 +BRIGODE B R IH0 - G OW1 - D AH0 +BRIGUGLIO B R IH0 - G AH1 G - L IY0 - OW0 +BRILES B R AY1 L Z +BRILEY B R IH1 - L IY0 +BRILL B R IH1 L +BRILLHART B R IH1 L - HH AA2 R T +BRILLIANCE B R IH1 L - Y AH0 N S +BRILLIANT B R IH1 L - Y AH0 N T +BRILLIANTLY B R IH1 L - Y AH0 N T - L IY0 +BRILLSTEIN B R IH1 L - S T IY2 N +BRILLSTEIN(2) B R IH1 L - S T AY2 N +BRIM B R IH1 M +BRIMBERRY B R IH1 M - B EH2 - R IY0 +BRIMELOW B R IH1 - M AH0 - L OW0 +BRIMER B R AY1 - M ER0 +BRIMHALL B R IH1 M - HH AO2 L +BRIMM B R IH1 M +BRIMMED B R IH1 M D +BRIMMER B R IH1 - M ER0 +BRIMMING B R IH1 - M IH0 NG +BRIMSTONE B R IH1 M - S T OW0 N +BRIN B R IH1 N +BRINDEL B R IH1 N - D EH2 L +BRINDLE B R IH1 N - D AH0 L +BRINDLEY B R IH1 N D - L IY0 +BRINE B R AY1 N +BRINEGAR B R IH1 - N IH0 - G ER0 +BRINER B R AY1 - N ER0 +BRINES B R AY1 N Z +BRINEY B R IH1 - N IY0 +BRING B R IH1 NG +BRINGHURST B R IH1 NG - HH ER0 S T +BRINGING B R IH1 - NG IH0 NG +BRINGLE B R IH1 NG - G AH0 L +BRINGMAN B R IH1 NG - M AH0 N +BRINGS B R IH1 NG Z +BRINING B R AY1 - N IH0 NG +BRINK B R IH1 NG K +BRINK'S B R IH1 NG K S +BRINKER B R IH1 NG - K ER0 +BRINKERHOFF B R IH1 NG - K ER0 - HH AO2 F +BRINKLEY B R IH1 NG - K L IY0 +BRINKLY B R IH1 NG - K L IY0 +BRINKMAN B R IH1 NG K - M AH0 N +BRINKMANN B R IH1 NG K - M AH0 N +BRINKMANN'S B R IH1 NG K - M AH0 N Z +BRINKMANSHIP B R IH1 NG K - M AH0 N - SH IH2 P +BRINKMEIER B R IH1 NG K - M AY0 - ER0 +BRINKMEYER B R IH1 NG K - M AY0 - ER0 +BRINKS B R IH1 NG K S +BRINKSMANSHIP B R IH1 NG K S - M AH0 N - SH IH2 P +BRINLEE B R IH1 N - L IY0 +BRINLEY B R IH1 N - L IY0 +BRINN B R IH1 N +BRINNER B R IH1 - N ER0 +BRINSER B R IH1 N - S ER0 +BRINSFIELD B R IH1 N S - F IY0 L D +BRINSON B R IH1 N - S AH0 N +BRINTEC B R IH1 N - T EH2 K +BRINTON B R IH1 N - T AH0 N +BRIO B R AY1 - OW0 +BRIOCHE B R IY2 - OW1 SH +BRIOCHE(2) B R IY1 - AA0 SH +BRIODY B R AY1 - AH0 - D IY0 +BRION B R AY1 - AH0 N +BRIONES B R IY0 - OW1 - N EH0 S +BRIQUEMONT B R IH1 K - M AO0 N T +BRISBANE B R IH1 Z - B EY2 N +BRISBIN B R IH1 Z - B IH0 N +BRISBOIS B R IH0 Z - B W AA1 +BRISBOIS(2) B R IH1 Z - B W AA2 +BRISBON B R IH1 Z - B AH0 N +BRISBURG B R IH1 S - B ER0 G +BRISCO B R IY1 - S K OW0 +BRISCOE B R IH1 - S K OW0 +BRISENDINE B R IH1 - S IH0 N - D AY2 N +BRISENO B R IY0 - S EH1 - N OW0 +BRISENO'S B R IY0 - S EH1 - N OW0 Z +BRISK B R IH1 S K +BRISKER B R IH1 - S K ER0 +BRISKET B R IH1 - S K AH0 T +BRISKEY B R IH1 S - K IY0 +BRISKI B R IH1 S - K IY0 +BRISKIN B R IH1 - S K IH0 N +BRISKLY B R IH1 S K - L IY0 +BRISKY B R IH1 S - K IY0 +BRISLIN B R IH1 S - L IH0 N +BRISON B R IH1 - S AH0 N +BRISSETTE B R IH0 - S EH1 T +BRISSEY B R IH1 - S IY0 +BRISSON B R IH1 - S AH0 N +BRISTER B R IH1 - S T ER0 +BRISTLE B R IH1 - S AH0 L +BRISTLED B R IH1 - S AH0 L D +BRISTLES B R IH1 - S AH0 L Z +BRISTLING B R IH1 - S AH0 L - IH0 NG +BRISTLING(2) B R IH1 - S L IH0 NG +BRISTOL B R IH1 - S T AH0 L +BRISTOW B R IH1 - S T OW0 +BRIT B R IH1 T +BRITA B R IY1 - T AH0 +BRITAIN B R IH1 - T AH0 N +BRITAIN'S B R IH1 - T AH0 N Z +BRITAINS B R IH1 - T AH0 N Z +BRITANNIA B R IH0 - T AE1 - N IY0 - AH0 +BRITANNICA B R IH0 - T AE1 - N IH0 - K AH0 +BRITCHER B R IH1 - CH ER0 +BRITCHES B R IH1 - CH AH0 Z +BRITE B R AY1 T +BRITIAN B R IH1 - SH AH0 N +BRITISH B R IH1 - T IH0 SH +BRITNELL B R IH1 T - N AH0 L +BRITO B R IY1 - T OW0 +BRITOIL B R IH0 - T OY1 L +BRITON B R IH1 - T AH0 N +BRITONS B R IH1 - T AH0 N Z +BRITONS' B R IH1 - T AH0 N Z +BRITS B R IH1 T S +BRITSCH B R IH1 CH +BRITT B R IH1 T +BRITTAIN B R IH1 - T AH0 N +BRITTAN B R IH1 - T AH0 N +BRITTANY B R IH1 - T AH0 - N IY0 +BRITTEN B R IH1 - T AH0 N +BRITTENHAM B R IH1 - T IH0 N - HH AH0 M +BRITTIAN B R IH1 - T IY0 - AH0 N +BRITTIN B R IH1 - T IH0 N +BRITTINGHAM B R IH1 - T IH0 NG - HH AE0 M +BRITTLE B R IH1 - T AH0 L +BRITTON B R IH1 - T AH0 N +BRITTS B R IH1 T S +BRITZ B R IH1 T S +BRIX B R IH1 K S +BRIXEY B R IH1 K - S IY0 +BRIXIUS B R AY1 K - S IY0 - IH0 S +BRIZENDINE B R IY0 - Z EH0 N - D IY1 - N IY0 +BRIZILL B R IH0 - Z IH1 L +BRIZOLA B R IH0 - Z OW1 - L AH0 +BRIZZI B R IH1 - Z IY0 +BRIZZOLARA B R IY0 T - S OW0 - L AA1 - R AH0 +BRO B R OW1 +BRO'S B R OW1 Z +BROACH B R OW1 CH +BROACHED B R OW1 CH T +BROACHES B R OW1 - CH IH0 Z +BROACHING B R OW1 - CH IH0 NG +BROAD B R AO1 D +BROAD'S B R AO1 D Z +BROADAWAY B R AO1 D - AH0 - W EY2 +BROADBAND B R AO1 D - B AE2 N D +BROADBASE B R AO1 D - B EY2 S +BROADBASED B R AO1 D - B EY2 S T +BROADBEACH B R AO1 D - B IY2 CH +BROADBENT B R AO1 D - B EH2 N T +BROADCAST B R AO1 D - K AE2 S T +BROADCASTER B R AO1 D - K AE2 - S T ER0 +BROADCASTER'S B R AO1 D - K AE2 - S T ER0 Z +BROADCASTERS B R AO1 D - K AE2 - S T ER0 Z +BROADCASTERS' B R AO1 D - K AE2 - S T ER0 Z +BROADCASTING B R AO1 D - K AE2 - S T IH0 NG +BROADCASTING'S B R AO1 D - K AE2 - S T IH0 NG Z +BROADCASTS B R AO1 D - K AE2 S T S +BROADCASTS(2) B R AO1 D - K AE2 S S +BROADCASTS(3) B R AO1 D - K AE2 S +BROADDUS B R AO1 - D IH0 S +BROADEN B R AO1 - D AH0 N +BROADENED B R AO1 - D AH0 N D +BROADENING B R AO1 - D AH0 N - IH0 NG +BROADENING(2) B R AO1 D - N IH0 NG +BROADENS B R AO1 - D AH0 N Z +BROADER B R AO1 - D ER0 +BROADEST B R AO1 - D IH0 S T +BROADHEAD B R AO1 D - HH EH2 D +BROADHURST B R AO1 D - HH ER0 S T +BROADIE B R AO1 - D IY0 +BROADLEY B R AO1 D - L IY0 +BROADLY B R AO1 D - L IY0 +BROADNAX B R AO1 D - N AE0 K S +BROADPFOOT B R AO1 D - F UH0 T +BROADRICK B R AO1 - D R IH0 K +BROADSIDE B R AO1 D - S AY2 D +BROADSIDED B R AO1 D - S AY2 - D IH0 D +BROADSTREET B R AO1 D - S T R IY2 T +BROADSWORD B R AO1 D - S AO2 R D +BROADUS B R OW1 - D AH0 S +BROADVIEW B R AO1 D - V Y UW2 +BROADWAY B R AO1 D - W EY2 +BROADWAY'S B R AO1 D - W EY2 Z +BROADWELL B R AO1 D - W EH2 L +BROADY B R AO1 - D IY0 +BROBDINGNAGIAN B R AO2 B - D IH0 G - N AE1 - G IY0 - AH0 N +BROBDINGNAGIANS B R AO2 B - D IH0 G - N AE1 - G IY0 - AH0 N Z +BROBECK B R OW1 - B EH2 K +BROBERG B R OW1 - B ER0 G +BROBST B R AA1 B S T +BROC B R AA1 K +BROCADE B R OW0 - K EY1 D +BROCADES B R OW0 - K EY1 D Z +BROCATO B R OW0 - K AA1 - T OW0 +BROCCO B R AA1 - K OW0 +BROCCOLI B R AA1 - K AH0 - L IY0 +BROCCOLI(2) B R AA1 K - L IY0 +BROCE B R OW1 S +BROCHU B R OW1 - K UW0 +BROCHURE B R OW0 - SH UH1 R +BROCHURES B R OW0 - SH UH1 R Z +BROCIOUS B R AH0 - SH IY1 S +BROCK B R AA1 K +BROCK'S B R AA1 K S +BROCKBANK B R AA1 K - B AH0 NG K +BROCKEL B R AA1 - K AH0 L +BROCKER B R AA1 - K ER0 +BROCKERT B R AA1 - K ER0 T +BROCKETT B R AA1 - K IH0 T +BROCKHAUS B R AA1 K - HH AW2 S +BROCKHOFF B R AA1 K - HH AO2 F +BROCKHOUSE B R AA1 K - HH AW2 S +BROCKIE B R AA1 - K IY0 +BROCKINGTON B R AA1 - K IH0 NG - T AH0 N +BROCKLEHURST B R AA1 - K AH0 L - HH ER0 S T +BROCKLEY B R AA1 K - L IY0 +BROCKLIN B R AA1 K - L IH0 N +BROCKLIN'S B R AA1 K - L IH0 N Z +BROCKMAN B R AA1 K - M AH0 N +BROCKMANN B R AA1 K - M AH0 N +BROCKMEIER B R AA1 K - M AY0 - ER0 +BROCKMEYER B R AA1 K - M AY0 - ER0 +BROCKNER B R AA1 K - N ER0 +BROCKSMITH B R AA1 K - S M IH2 TH +BROCKTON B R AA1 K - T AH0 N +BROCKWAY B R AA1 K - W EY2 +BROCKWAY'S B R AA1 K - W EY2 Z +BROCKWELL B R AA1 K - W EH2 L +BROD B R AA1 D +BRODA B R OW1 - D AH0 +BRODBECK B R AA1 D - B EH2 K +BRODE B R OW1 D +BRODEN B R OW1 - D AH0 N +BRODER B R OW1 - D ER0 +BRODER'S B R OW1 - D ER0 Z +BRODERBUND B R OW1 - T ER0 - B AH0 N D +BRODERICK B R AA1 - D ER0 - IH0 K +BRODERICK'S B R AA1 - D ER0 - IH0 K Z +BRODERICK'S(2) B R AA1 - D R IH0 K Z +BRODERICK(2) B R AA1 - D R IH0 K +BRODERSEN B R AA1 - D ER0 - S AH0 N +BRODERSOHN B R OW1 - T ER0 - S AH0 N +BRODERSON B R AA1 - D ER0 - S AH0 N +BRODEUR B R AA1 - D ER0 +BRODHEAD B R AA1 D - HH EH2 D +BRODIE B R OW1 - T IY0 +BRODIN B R OW1 - D IH0 N +BRODKIN B R AA1 D - K IH0 N +BRODMAN B R AA1 D - M AH0 N +BRODNAX B R AA1 D - N AE0 K S +BRODOWSKI B R AH0 - D AO1 F S - K IY0 +BRODRICK B R AA1 - D R IH0 K +BRODRY B R AA1 - D R IY0 +BRODSKY B R AA1 D - S K IY0 +BRODT B R AA1 D T +BRODY B R OW1 - D IY0 +BRODY'S B R OW1 - D IY0 Z +BRODZINSKI B R AH0 - JH IH1 N - S K IY0 +BROE B R OW1 +BROECKER B R OW1 - K ER0 +BROEKER B R OW1 - K ER0 +BROER B R OW1 - ER0 +BROERMAN B R OW1 - ER0 - M AH0 N +BROERS B R OW1 - ER0 Z +BROGAN B R OW1 - G AH0 N +BROGDEN B R AA1 G - D AH0 N +BROGDON B R AA1 G - D AH0 N +BROGNA B R OW1 G - N AH0 +BROICH B R OY1 CH +BROIL B R OY1 L +BROILED B R OY1 L D +BROILER B R OY1 - L ER0 +BROILERS B R OY1 - L ER0 Z +BROILING B R OY1 - L IH0 NG +BROK B R AA1 K +BROKAW B R OW1 - K AO0 +BROKE B R OW1 K +BROKEN B R OW1 - K AH0 N +BROKEN-WIND B R OW1 - K AH0 N - W IH1 N D +BROKEN-WINDED B R OW1 - K AH0 N - W IH1 N - D IH0 D +BROKER B R OW1 - K ER0 +BROKER'S B R OW1 - K ER0 Z +BROKERAGE B R OW1 - K ER0 - IH0 JH +BROKERAGE'S B R OW1 - K ER0 - IH0 - JH IH0 Z +BROKERAGE'S(2) B R OW1 - K R IH0 - JH IH0 Z +BROKERAGE(2) B R OW1 - K R IH0 JH +BROKERAGES B R OW1 - K ER0 - IH0 - JH IH0 Z +BROKERAGES' B R OW1 - K ER0 - IH0 - JH IH0 Z +BROKERAGES'(2) B R OW1 - K R IH0 - JH IH0 Z +BROKERAGES(2) B R OW1 - K R IH0 - JH IH0 Z +BROKERED B R OW1 - K ER0 D +BROKERING B R OW1 - K ER0 - IH0 NG +BROKERS B R OW1 - K ER0 Z +BROKERS' B R OW1 - K ER0 Z +BROKING B R OW1 - K IH0 NG +BROLIN B R OW1 - L IH0 N +BROLLY B R AA1 - L IY0 +BROM B R AA1 M +BROMAN B R OW1 - M AH0 N +BROMBERG B R AA1 M - B ER0 G +BROMFIELD B R AA1 M - F IY2 L D +BROMFIELD'S B R AA1 M - F IY2 L D Z +BROMIDE B R OW1 - M AY2 D +BROMIDES B R OW1 - M AY2 D Z +BROMINE B R OW1 - M IY2 N +BROMLEY B R AA1 M - L IY0 +BROMM B R AA1 M +BROMMER B R AA1 - M ER0 +BROMONT B R OW1 - M AA2 N T +BROMPHERIL B R AA1 M - F EH0 - R IH0 L +BROMWELL B R AA1 M - W EH2 L +BROMWICH B R AA1 M - W IH0 CH +BRONAUGH B R AA1 - N AO0 +BRONC B R AA1 NG K +BRONCHIAL B R AA1 N - CH IY0 - AH0 L +BRONCHITIS B R AA0 NG - K AY1 - T AH0 S +BRONCO B R AA1 NG - K OW0 +BRONCOS B R AA1 NG - K OW0 Z +BRONDER B R AA1 N - D ER0 +BRONER B R OW1 - N ER0 +BRONFMAN B R AA1 N F - M AH0 N +BRONFMAN'S B R AA1 N F - M AH0 N Z +BRONFMANS B R AA1 N F - M AH0 N Z +BRONK B R AA1 NG K +BRONKEMA B R AH0 NG - K IY1 - M AH0 +BRONN B R AA1 N +BRONNER B R AA1 - N ER0 +BRONS B R AA1 N Z +BRONSON B R AA1 N - S AH0 N +BRONSTEIN B R AA1 N - S T IY2 N +BRONSTEIN(2) B R AA1 N - S T AY2 N +BRONSTON B R AA1 N - S T AH0 N +BRONTE B R AA1 N - T IY0 +BRONTE'S B R AA1 N - T IY0 Z +BRONTOSAURUS B R AO2 N - T AH0 - S AO1 - R AH0 S +BRONTOSAURUS(2) B R AO2 - N AH0 - S AO1 - R AH0 S +BRONWEN B R AO1 N - W IH0 N +BRONX B R AA1 NG K S +BRONZE B R AA1 N Z +BRONZED B R AA1 N Z D +BRONZEN B R AA1 N - Z AH0 N +BRONZES B R AA1 N - Z AH0 Z +BRONZES(2) B R AA1 N - Z IH0 Z +BROOCH B R UW1 CH +BROOCH(2) B R OW1 CH +BROOD B R UW1 D +BROODED B R UW1 - D IH0 D +BROODING B R UW1 - D IH0 NG +BROODY B R UW1 - D IY0 +BROOK B R UH1 K +BROOK'S B R UH1 K S +BROOKBANK B R UH1 K - B AE2 NG K +BROOKE B R UH1 K +BROOKE'S B R UH1 K S +BROOKEHILL B R UH1 K - HH IH2 L +BROOKEN B R UH1 - K AH0 N +BROOKENS B R UH1 - K AH0 N Z +BROOKER B R UH1 - K ER0 +BROOKES B R UH1 K S +BROOKFIELD B R UH1 K - F IY2 L D +BROOKHART B R UW1 K - HH AA0 R T +BROOKHAVEN B R UH1 K - HH EY2 - V AH0 N +BROOKHURST B R UH1 K - HH ER2 S T +BROOKING B R UH1 - K IH0 NG +BROOKINGS B R UH1 - K IH0 NG Z +BROOKINS B R UW1 - K IH0 N Z +BROOKLINE B R UH1 K - L AY2 N +BROOKLYN B R UH1 K - L AH0 N +BROOKLYN'S B R UH1 K - L AH0 N Z +BROOKLYN'S(2) B R UH1 K - L IH0 N Z +BROOKLYN(2) B R UH1 K - L IH0 N +BROOKMAN B R UH1 K - M AH0 N +BROOKNER B R UH1 K - N ER0 +BROOKNER'S B R UH1 K - N ER0 Z +BROOKOVER B R UH1 K - OW2 - V ER0 +BROOKS B R UH1 K S +BROOKS' B R UH1 K S +BROOKS'S B R UH1 K - S IH0 Z +BROOKS'S(2) B R UH1 K S +BROOKSHIER B R UW1 K - SH IY0 - ER0 +BROOKSHIRE B R UW1 K - SH AY0 R +BROOKSIDE B R UH1 K - S AY2 D +BROOKSTONE B R UH1 K - S T OW2 N +BROOKSVILLE B R UH1 K S - V IH0 L +BROOKSVILLE'S B R UH1 K S - V IH0 L Z +BROOM B R UW1 M +BROOMALL B R UW1 - M AH0 L +BROOME B R UW1 M +BROOMFIELD B R UW1 M - F IY2 L D +BROOMS B R UW1 M Z +BROOMSTICK B R UW1 M - S T IH2 K +BROOMSTICKS B R UW1 M - S T IH2 K S +BROPHY B R OW1 - F IY0 +BROSCH B R AO1 SH +BROSE B R OW1 Z +BROSH B R AA1 SH +BROSHEARS B R AA1 - SH IH0 R Z +BROSIOUS B R OW1 - Z IY0 - AH0 S +BROSIUS B R OW1 - S IY0 - IH0 S +BROSKI B R AW1 S - K IY0 +BROSKY B R AA1 S - K IY0 +BROSNAHAN B R AA1 S - N AH0 - HH AE0 N +BROSNAN B R AA1 S - N AH0 N +BROSS B R AO1 S +BROSSARD B R AH0 - S AA1 R D +BROSSART B R AA1 - S AA0 R T +BROSSEAU B R AH0 - S OW1 +BROSSER B R AA1 - S ER0 +BROSSETTE B R AH0 - S EH1 T +BROSSMAN B R AO1 S - M AH0 N +BROST B R AA1 S T +BROSTROM B R AA1 S - T R AH0 M +BROSZ B R AA1 SH +BROTEN B R OW1 - T AH0 N +BROTH B R AO1 TH +BROTHEL B R AA1 - TH AH0 L +BROTHELS B R AA1 - TH AH0 L Z +BROTHER B R AH1 - DH ER0 +BROTHER'S B R AH1 - DH ER0 Z +BROTHERHOOD B R AH1 - DH ER0 - HH UH2 D +BROTHERLY B R AH1 - DH ER0 - L IY0 +BROTHERS B R AH1 - DH ER0 Z +BROTHERS' B R AH1 - DH ER0 Z +BROTHERS'S B R AH1 - DH ER0 - Z IH0 Z +BROTHERSON B R AH1 - DH ER0 - S AH0 N +BROTHERTON B R AH1 - DH ER0 - T AH0 N +BROTHS B R AO1 TH S +BROTMAN B R AA1 T - M AH0 N +BROTT B R AA1 T +BROTZMAN B R AA1 T S - M AH0 N +BROUCEK B R UW1 - CH EH0 K +BROUDY B R AW1 - D IY0 +BROUGH B R AW1 +BROUGHAM B R UW1 G - AH0 M +BROUGHER B R AW1 - ER0 +BROUGHMAN B R AW1 - M AH0 N +BROUGHT B R AO1 T +BROUGHTON B R AO1 - T AH0 N +BROUHAHA B R UW1 - HH AA0 - HH AA0 +BROUHARD B R AA1 - UW0 - ER0 D +BROUILLARD B R W IY0 - L AA1 R D +BROUILLET B R W IY0 - L EH1 T +BROUILLETTE B R W IY0 - L EH1 T +BROUN B R UW1 N +BROUNTAS B R AW1 N - T AH0 S +BROUSE B R AW1 S +BROUSSARD B R UW0 - S AA1 R D +BROUSSEAU B R UW2 - S OW1 +BROUSSET B R UW1 - S EH0 T +BROUWER B R AW1 - W ER0 +BROW B R AW1 +BROWARD B R AW1 - ER0 D +BROWBEAT B R AW1 - B IY2 T +BROWDER B R AW1 - D ER0 +BROWE B R OW1 +BROWED B R AW1 D +BROWER B R AW1 - ER0 +BROWN B R AW1 N +BROWN'S B R AW1 N Z +BROWNBACK B R AW1 N - B AE2 K +BROWNE B R AW1 N +BROWNED B R AW1 N D +BROWNELL B R AW0 - N EH1 L +BROWNER B R AW1 - N ER0 +BROWNEST B R AW1 - N IH0 S T +BROWNFIELD B R AW1 N - F IY2 L D +BROWNFIELDS B R AW1 N - F IY2 L D Z +BROWNIE B R AW1 - N IY0 +BROWNIES B R AW1 - N IY0 Z +BROWNING B R AW1 - N IH0 NG +BROWNING'S B R AW1 - N IH0 NG Z +BROWNISH B R AW1 - N IH0 SH +BROWNLEE B R AW1 N - L IY0 +BROWNLEY B R AW1 N - L IY0 +BROWNLIE B R AW1 N - L IY0 +BROWNLOW B R AW1 N - L OW2 +BROWNMILLER B R AW1 N - M IH2 - L ER0 +BROWNOUT B R AW1 N - AW2 T +BROWNOUTS B R AW1 N - AW2 T S +BROWNRIGG B R AW1 N - R IH0 G +BROWNS B R AW1 N Z +BROWNS' B R AW1 N Z +BROWNSON B R AW1 N - S AH0 N +BROWNSTEIN B R AW1 N - S T AY2 N +BROWNSTEIN(2) B R AW1 N - S T IY2 N +BROWNSTONE B R AW1 N - S T OW2 N +BROWNSVILLE B R AW1 N Z - V IH0 L +BROWS B R AW1 Z +BROWSE B R AW1 Z +BROWSED B R AW1 Z D +BROWSER B R AW1 - Z ER0 +BROWSERS B R AW1 - Z ER0 Z +BROWSING B R AW1 - Z IH0 NG +BROX B R AA1 K S +BROXSON B R AA1 K - S AH0 N +BROXTERMAN B R AA1 K - S T ER0 - M AH0 N +BROXTON B R AA1 K - S T AH0 N +BROY B R OY1 +BROYARD B R OY1 - ER0 D +BROYHILL B R OY1 - HH IH2 L +BROYLES B R OY1 L Z +BROZ B R AA1 Z +BROZEK B R OW1 - Z EH0 K +BROZMAN B R AA1 Z - M AH0 N +BROZOVICH B R AA1 - Z AH0 - V IH0 CH +BROZOWSKI B R AH0 - Z AO1 F S - K IY0 +BRUBAKER B R AH1 - B AH0 - K ER0 +BRUBECK B R UW1 - B EH2 K +BRUCATO B R UW0 - K AA1 - T OW0 +BRUCE B R UW1 S +BRUCE'S B R UW1 - S AH0 Z +BRUCH B R AH1 CH +BRUCHHAUSEN B R UW1 K - HH AW2 - Z AH0 N +BRUCIE B R AH1 - K IY0 +BRUCITE B R UW1 - S AY2 T +BRUCK B R AH1 K +BRUCK'S B R AH1 K S +BRUCKER B R AH1 - K ER0 +BRUCKHEIMER B R AH1 K - HH AY2 - M ER0 +BRUCKMAN B R AH1 K - M AH0 N +BRUCKNER B R AH1 K - N ER0 +BRUCKS B R AH1 K S +BRUDER B R UW1 - D ER0 +BRUE B R UW1 +BRUECHER B R UW1 - CH ER0 +BRUECK B R UW1 K +BRUECKNER B R UH1 K - N ER0 +BRUEGGE B R UW1 - G AH0 +BRUEGGEMAN B R UW1 G - M AH0 N +BRUEGGEMANN B R UW1 G - M AH0 N +BRUEGGEN B R UW1 - G AH0 N +BRUEGGER B R UW1 - G ER0 +BRUEGGER'S B R UW1 - G ER0 Z +BRUEHL B R UW1 L +BRUELLA B R UW2 - EH1 - L AH0 +BRUEMMER B R UW1 - M ER0 +BRUEN B R UW1 N +BRUENING B R UW1 - N IH0 NG +BRUER B R UW1 - ER0 +BRUFF B R AH1 F +BRUFORD B R UW1 - F ER0 D +BRUGES B R UW1 - JH IH0 Z +BRUGES(2) B R UW1 ZH +BRUGGEMAN B R AH1 G - M AH0 N +BRUGGER B R AH1 - G ER0 +BRUGH B R AH1 +BRUGMAN B R AH1 G - M AH0 N +BRUHA B R UW1 - HH AH0 +BRUHL B R AH1 L +BRUHN B R AH1 N +BRUIN B R UW1 - IH0 N +BRUINGTON B R UW1 - IH0 NG - T AH0 N +BRUINS B R UW1 - IH0 N Z +BRUINSMA B R UW0 - IH1 N - S M AH0 +BRUISE B R UW1 Z +BRUISED B R UW1 Z D +BRUISES B R UW1 - Z AH0 Z +BRUISES(2) B R UW1 - Z IH0 Z +BRUISING B R UW1 - Z IH0 NG +BRULE B R UW1 L +BRULEY B R UW1 - L IY0 +BRUM B R AH1 M +BRUMBACH B R AH1 M - B AA2 K +BRUMBACK B R AH1 M - B AE2 K +BRUMBAUGH B R AH1 M - B AO2 +BRUMBELOW B R AH1 M - B IH0 - L OW0 +BRUMER B R UW1 - M ER0 +BRUMETT B R AH1 - M IH0 T +BRUMFIELD B R AH1 M - F IY2 L D +BRUMIT B R UW1 - M IH0 T +BRUMITT B R UW1 - M IH0 T +BRUMLEY B R AH1 M - L IY0 +BRUMLOW B R AH1 M - L OW0 +BRUMM B R AH1 M +BRUMMEL B R AH1 - M AH0 L +BRUMMELL B R AH1 - M AH0 L +BRUMMER B R AH1 - M ER0 +BRUMMET B R AH1 - M IH0 T +BRUMMETT B R AH1 - M IH0 T +BRUMMITT B R AH1 - M IH0 T +BRUMMOND B R AH1 - M AH0 N D +BRUN B R AH1 N +BRUNA B R UW1 - N AH0 +BRUNCH B R AH1 N CH +BRUNCHES B R AH1 N - CH IH0 Z +BRUNCOR B R AH1 N - K AO2 R +BRUNDAGE B R AH1 N - D IH0 JH +BRUNDIDGE B R AH1 N - D IH0 JH +BRUNDIGE B R AH1 N - D IH0 G +BRUNDTLAND B R AH1 N T - L AH0 N D +BRUNE B R UW1 N +BRUNEAU B R AH0 - N OW1 +BRUNEI B R UW0 - N AY1 +BRUNELL B R AH1 - N AH0 L +BRUNELLA B R UW2 - N EH1 - L AH0 +BRUNELLE B R AH0 - N EH1 L +BRUNELLI B R UW0 - N EH1 - L IY0 +BRUNER B R UW1 - N ER0 +BRUNET B R UW0 - N EH1 T +BRUNETT B R AH1 - N IH0 T +BRUNETTA B R UW0 - N EH1 - T AH0 +BRUNETTE B R UW0 - N EH1 T +BRUNETTES B R UW0 - N EH1 T S +BRUNETTI B R UW0 - N EH1 - T IY0 +BRUNETTO B R UW0 - N EH1 - T OW0 +BRUNEY B R UW1 - N IY0 +BRUNGARD B R AH1 NG - G ER0 D +BRUNGARDT B R AH1 NG - G AA0 R T +BRUNGER B R AH1 - NG ER0 +BRUNHILDA B R UW0 N - HH IY1 L - D AH0 +BRUNI B R UW1 - N IY0 +BRUNICK B R UW1 - N IH0 K +BRUNING B R UW1 - N IH0 NG +BRUNJES B R AH0 N - ZH IY1 Z +BRUNK B R AH1 NG K +BRUNKE B R AH1 NG K +BRUNKEN B R AH1 NG - K AH0 N +BRUNKER B R AH1 NG - K ER0 +BRUNKHORST B R AH1 NG K - HH AO0 R S T +BRUNKOW B R AH1 NG - K OW0 +BRUNN B R AH1 N +BRUNNER B R AH1 - N ER0 +BRUNNHILDE B R AH1 N - HH IH0 L D +BRUNO B R UW1 - N OW0 +BRUNO'S B R UW1 - N OW0 Z +BRUNS B R AH1 N Z +BRUNSKILL B R AH1 N - S K IH2 L +BRUNSMAN B R AH1 N - S M AH0 N +BRUNSON B R AH1 N - S AH0 N +BRUNSVOLD B R AH1 N Z - V OW2 L D +BRUNSWICK B R AH1 N Z - W IH0 K +BRUNSWICK'S B R AH1 N Z - W IH0 K S +BRUNSWIG B R AH1 N - S W IH0 G +BRUNSWIG'S B R AH1 N - S W IH0 G Z +BRUNT B R AH1 N T +BRUNTJEN B R AH1 N T - JH EH2 N +BRUNTON B R AH1 N - T AH0 N +BRUNTY B R AH1 N - T IY0 +BRUNTZ B R AH1 N T S +BRUS B R AH1 S +BRUSCA B R AH1 S - K AH0 +BRUSCHI B R UW1 S - K IY0 +BRUSCO B R UW1 - S K OW0 +BRUSE B R UW1 Z +BRUSETT B R UH0 - S EH1 T +BRUSETT(2) B R UW2 - S EH1 T +BRUSETTE B R UW2 - S EH1 T +BRUSH B R AH1 SH +BRUSHABER B R AH1 - SH AH0 - B ER0 +BRUSHED B R AH1 SH T +BRUSHES B R AH1 - SH IH0 Z +BRUSHFIRE B R AH1 SH - F AY2 R +BRUSHFIRES B R AH1 SH - F AY2 R Z +BRUSHING B R AH1 - SH IH0 NG +BRUSHWORK B R AH1 SH - W ER2 K +BRUSHY B R AH1 - SH IY0 +BRUSKE B R AH1 S K +BRUSKI B R AH1 S - K IY0 +BRUSKY B R AH1 S - K IY0 +BRUSO B R UW1 - S OW0 +BRUSQUE B R AH1 S K +BRUSQUELY B R AH1 S K - L IY0 +BRUSS B R AH1 S +BRUSSEAU B R AH0 - S OW1 +BRUSSEL B R AH1 - S AH0 L +BRUSSELMANS B R AH1 - S AH0 L - M AH0 N Z +BRUSSELS B R AH1 - S AH0 L Z +BRUST B R AH1 S T +BRUSTER B R AH1 - S T ER0 +BRUSTOLONI B R UW1 - S T OW0 - L OW1 - N IY0 +BRUT B R UW1 T +BRUTAL B R UW1 - T AH0 L +BRUTALITIES B R UW0 - T AE1 - L AH0 - T IY0 Z +BRUTALITY B R UW0 - T AE1 - L AH0 - T IY0 +BRUTALITY(2) B R UW0 - T AE1 - L IH0 - T IY0 +BRUTALIZATION B R UW1 - T AH0 - L AH0 - Z EY2 - SH AH0 N +BRUTALIZE B R UW1 - T AH0 - L AY2 Z +BRUTALIZED B R UW1 - T AH0 - L AY2 Z D +BRUTALIZES B R UW1 - T AH0 - L AY2 - Z IH0 Z +BRUTALIZING B R UW1 - T AH0 - L AY2 - Z IH0 NG +BRUTALLY B R UW1 - T AH0 - L IY0 +BRUTE B R UW1 T +BRUTISH B R UW1 - T IH0 SH +BRUTON B R UW1 - T AH0 N +BRUTSCHE B R AH1 - CH IY0 +BRUTUS B R UW1 - T AH0 S +BRUUN B R UW1 N +BRUXELLES B R AH0 K - S EH1 - L AH0 S +BRUYETTE B R UW0 - EH1 T +BRUYNES B R UW1 - IH0 N Z +BRUZZESE B R UW0 T - S EY1 - Z IY0 +BRYAN B R AY1 - AH0 N +BRYAN'S B R AY1 - AH0 N Z +BRYANS B R AY1 - AH0 N Z +BRYANT B R AY1 - AH0 N T +BRYARS B R AY1 - ER0 Z +BRYCE B R AY1 S +BRYDEN B R AY1 - D AH0 N +BRYDGES B R IH1 - JH IH0 Z +BRYDIE B R IH1 - D IY0 +BRYDON B R IH1 - D AH0 N +BRYE B R AY1 +BRYEN B R AY1 - AH0 N +BRYER B R AY1 - ER0 +BRYK B R IH1 K +BRYMER B R AY1 - M ER0 +BRYN B R IH1 N +BRYNA B R IH1 - N AH0 +BRYNE B R AY1 N +BRYNER B R AY1 - N ER0 +BRYNGELSON B R IH1 NG - G IH0 L - S AH0 N +BRYON B R AY1 - AH0 N +BRYS B R IH1 S +BRYSON B R AY1 - S AH0 N +BRZEZINSKI B R IH0 - Z IH1 N - S K IY0 +BRZOSKA B R OW1 - S K AH0 +BRZOZOWSKI B R AH0 - Z AO1 F S - K IY0 +BRZYCKI B R IH1 T S - K IY0 +BT B IY1 - T IY1 +BTA B IY1 - T IY1 - EY1 +BUA B Y UW1 - AH0 +BUA(2) B IY1 - Y UW1 - EY1 +BUB B AH1 B +BUBAR B UW1 - B ER0 +BUBB B AH1 B +BUBBA B AH1 - B AH0 +BUBBLE B AH1 - B AH0 L +BUBBLED B AH1 - B AH0 L D +BUBBLES B AH1 - B AH0 L Z +BUBBLING B AH1 - B AH0 L - IH0 NG +BUBBLING(2) B AH1 - B L IH0 NG +BUBBLY B AH1 - B L IY0 +BUBBLY(2) B AH1 - B AH0 - L IY0 +BUBECK B UW1 - B EH0 K +BUBEL B UW1 - B AH0 L +BUBIER B Y UW1 - B IY0 - ER0 +BUBKA B AH1 B - K AH0 +BUBLITZ B AH1 - B L IH0 T S +BUBOLTZ B Y UW1 - B OW2 L T S +BUBOLZ B Y UW1 - B OW2 L Z +BUBONIC B Y UW0 - B AA1 - N IH0 K +BUC B AH1 K +BUCARO B UW0 - K AA1 - R OW0 +BUCASE B Y UW1 - K EY2 S +BUCCANEER B AH2 - K AH0 - N IY1 R +BUCCANEERS B AH2 - K AH0 - N IY1 R Z +BUCCELLATO B UW0 - CH EH0 - L AA1 - T OW0 +BUCCHERI B UW0 - K EH1 - R IY0 +BUCCI B UW1 - CH IY0 +BUCCIARELLI B UW0 - CH ER0 - EH1 - L IY0 +BUCCIERI B UW0 - CH IH1 - R IY0 +BUCCINO B UW0 - CH IY1 - N OW0 +BUCCOLA B UW0 - K OW1 - L AH0 +BUCEK B UW1 - CH EH0 K +BUCEY B Y UW1 - S IY0 +BUCH B AH1 CH +BUCHALTER B AH1 - K AH0 L - T ER0 +BUCHAN B AH1 - K AH0 N +BUCHANAN B Y UW0 - K AE1 - N AH0 N +BUCHANAN'S B Y UW0 - K AE1 - N AH0 N Z +BUCHANANISM B Y UW0 - K AE1 - N AH0 - N IH2 - Z AH0 M +BUCHANANS B Y UW0 - K AE1 - N AH0 N Z +BUCHANNAN B Y UW0 - K AE1 - N AH0 N +BUCHANON B Y UW0 - K AE1 - N AH0 N +BUCHAREST B Y UW1 - K ER0 - EH2 S T +BUCHAREST(2) B UW1 - K ER0 - EH2 S T +BUCHBERGER B AH1 K - B ER0 - G ER0 +BUCHBINDER B AH1 K - B IH2 N - D ER0 +BUCHBINDER(2) B UH1 K - B AY2 N - D ER0 +BUCHE B AH1 CH +BUCHEN B AH1 - K AH0 N +BUCHENWALD B Y UW1 - K EH0 N - W AA2 L D +BUCHER B AH1 - K ER0 +BUCHERT B AH1 - CH ER0 T +BUCHHEIT B AH1 K - HH AY0 T +BUCHHOLTZ B AH1 K - HH OW0 L T S +BUCHHOLZ B AH1 K - HH OW0 L Z +BUCHI B AH1 - CH IY0 +BUCHI'S B AH1 - CH IY0 Z +BUCHI'S(2) B UW1 - CH IY0 Z +BUCHI(2) B UW1 - CH IY0 +BUCHINGER B AH1 - K IH0 N - JH ER0 +BUCHKO B AH1 CH - K OW0 +BUCHLER B AH1 - K AH0 - L ER0 +BUCHLER(2) B AH1 - K L ER0 +BUCHMAN B AH1 K - M AH0 N +BUCHMANN B AH1 K - M AH0 N +BUCHMILLER B AH1 K - M AH0 - L ER0 +BUCHMILLER(2) B UH1 K - M AH0 - L ER0 +BUCHNER B AH1 K - N ER0 +BUCHOLTZ B AH1 - K OW0 L T S +BUCHOLTZ(2) B UH1 K - OW0 L T S +BUCHOLZ B AH1 - K OW0 L Z +BUCHS B AH1 K S +BUCHSBAUM B AH1 K S - B AW0 M +BUCHTA B AH1 CH - T AH0 +BUCHTER B AH1 K - T ER0 +BUCHWALD B AH1 - K W AO0 L D +BUCK B AH1 K +BUCK'S B AH1 K S +BUCKALEW B AH1 - K AH0 - L UW0 +BUCKBEE B AH1 K - B IY2 +BUCKED B AH1 K T +BUCKEL B AH1 - K AH0 L +BUCKELEW B AH1 - K IH0 - L UW0 +BUCKELS B AH1 - K AH0 L Z +BUCKET B AH1 - K AH0 T +BUCKET(2) B AH1 - K IH0 T +BUCKETS B AH1 - K AH0 T S +BUCKEY B AH1 - K IY0 +BUCKEYE B AH1 - K AY2 +BUCKHANTZ B AH1 K - HH AE2 N T S +BUCKHOLTZ B AH1 K - HH OW2 L T S +BUCKHOLZ B AH1 K - HH OW0 L Z +BUCKHORN B AH1 K - HH AO2 R N +BUCKING B AH1 - K IH0 NG +BUCKINGHAM B AH1 - K IH0 NG - HH AE2 M +BUCKLAND B AH1 K - L AH0 N D +BUCKLE B AH1 - K AH0 L +BUCKLED B AH1 - K AH0 L D +BUCKLER B AH1 - K AH0 - L ER0 +BUCKLER(2) B AH1 - K L ER0 +BUCKLES B AH1 - K AH0 L Z +BUCKLEW B AH1 - K L UW0 +BUCKLEY B AH1 K - L IY0 +BUCKLIN B AH1 - K L IH0 N +BUCKLING B AH1 - K L IH0 NG +BUCKMAN B AH1 K - M AH0 N +BUCKMASTER B AH1 K - M AE2 - S T ER0 +BUCKMINSTER B AH1 K - M IH2 N - S T ER0 +BUCKNAM B AH1 K - N AH0 M +BUCKNELL B AH2 K - N EH1 L +BUCKNER B AH1 K - N ER0 +BUCKO B AH1 - K OW0 +BUCKS B AH1 K S +BUCKSHOT B AH1 K - SH AA2 T +BUCKSKIN B AH1 K - S K IH2 N +BUCKSTEIN B AH1 K - S T IY2 N +BUCKTHORN B AH1 K - TH AO2 R N +BUCKWALTER B AH1 - K W AH0 L - T ER0 +BUCKWHEAT B AH1 K - W IY2 T +BUCKY B AH1 - K IY0 +BUCOBA B Y UW0 - K OW1 - B AH0 +BUCOLIC B Y UW0 - K AA1 - L IH0 K +BUCY B Y UW1 - S IY0 +BUCZEK B AH1 - CH EH0 K +BUCZKOWSKI B AH0 CH - K AO1 F S - K IY0 +BUCZYNSKI B AH0 - CH IH1 N - S K IY0 +BUD B AH1 D +BUD'S B AH1 D Z +BUD-TEST B AH1 D - T EH1 S T +BUDAI B UW0 - D AA1 - IY0 +BUDAPEST B UW1 - D AH0 - P EH2 S T +BUDAPEST'S B UW1 - D AH0 - P EH2 S T S +BUDAY B UW1 - D EY0 +BUDD B AH1 D +BUDDE B AH1 D +BUDDEN B AH1 - D AH0 N +BUDDENBROOKS B AH1 - D AH0 N - B R UH2 K S +BUDDENHAGEN B AH1 - D IH0 N - HH AH0 - G AH0 N +BUDDHA B UW1 - D AH0 +BUDDHA'S B UW1 - D AH0 Z +BUDDHISM B UW1 - D IH0 - Z AH0 M +BUDDHIST B UW1 - D AH0 S T +BUDDHISTS B UW1 - D AH0 S T S +BUDDHISTS(2) B UW1 - D AH0 S S +BUDDHISTS(3) B UW1 - D AH0 S +BUDDIE B AH1 - D IY0 +BUDDIER B AH1 - D IY0 - ER0 +BUDDIERS B AH1 - D IY0 - ER0 Z +BUDDIES B AH1 - D IY0 Z +BUDDIN B AH1 - D IH0 N +BUDDING B AH1 - D IH0 NG +BUDDY B AH1 - D IY0 +BUDDY'S B AH1 - D IY0 Z +BUDER B Y UW1 - D ER0 +BUDGE B AH1 JH +BUDGED B AH1 JH D +BUDGET B AH1 - JH IH0 T +BUDGET'S B AH1 - JH IH0 T S +BUDGETARY B AH1 - JH IH0 - T EH2 - R IY0 +BUDGETED B AH1 - JH IH0 - T AH0 D +BUDGETED(2) B AH1 - JH IH0 - T IH0 D +BUDGETEER B AH2 - JH IH0 - T IH1 R +BUDGETEERS B AH2 - JH IH0 - T IH1 R Z +BUDGETING B AH1 - JH IH0 - T IH0 NG +BUDGETS B AH1 - JH IH0 T S +BUDGING B AH1 - JH IH0 NG +BUDICK B AH1 - D IH0 K +BUDICK'S B AH1 - D IH0 K S +BUDIMAN B Y UW1 - T IH0 - M AH0 N +BUDIMAN(2) B AH0 - D IH0 - M AH0 N +BUDIN B UW1 - D IH0 N +BUDINGER B Y UW1 - D IH0 - NG ER0 +BUDKA B AH1 D - K AH0 +BUDKE B AH1 D - K IY0 +BUDLONG B AH1 D - L AO2 NG +BUDNER B AH1 D - N ER0 +BUDNEY B AH1 D - N IY0 +BUDNICK B AH1 D - N IH0 K +BUDNIK B AH1 D - N IH0 K +BUDNY B AH1 D - N IY0 +BUDREAU B AH0 - D R OW1 +BUDROW B AH1 - D R OW2 +BUDS B AH1 D Z +BUDSON B AH1 D - S AH0 N +BUDVAR B AH1 D - V AA2 R +BUDVAR(2) B UH1 D - V AA2 R +BUDWEISER B AH1 D - W AY0 - Z ER0 +BUDYONNOVSK B UW1 - D Y AH0 - N AA2 V S K +BUDZ B AH1 D Z +BUDZINSKI B AH0 - JH IH1 N - S K IY0 +BUDZYN B AH1 D - Z IH0 N +BUDZYNSKI B AH0 - JH IH1 N - S K IY0 +BUE B W EH1 +BUECHE B UW1 CH +BUECHEL B Y UW1 - K AH0 L +BUECHELE B Y UW1 - K AH0 L +BUECHLER B Y UW1 - K AH0 - L ER0 +BUECHLER(2) B Y UW1 - K L ER0 +BUECHNER B Y UW1 K - N ER0 +BUEGE B UW1 JH +BUEGLER B Y UW1 - G L ER0 +BUEHL B Y UW1 L +BUEHLER B Y UW1 - L ER0 +BUEHNER B Y UW1 - N ER0 +BUEHRER B Y UW1 - HH ER0 +BUEHRER(2) B Y UW1 - ER0 +BUEHRING B Y UW1 - R IH0 NG +BUEHRLE B Y UW1 - R AH0 L +BUEKER B Y UW1 - K ER0 +BUEL B Y UW1 L +BUELL B Y UW1 - AH0 L +BUELOW B UW1 - L OW0 +BUENA B UW1 - N AH0 +BUENDIA B UW1 N - D IY0 - AH0 +BUENGER B Y UW1 N - JH ER0 +BUENING B W EH1 - N IH0 NG +BUENO B W EY1 - N OW0 +BUENOS B W EY1 - N OW0 S +BUENOS(2) B W EY1 - N AH0 S +BUENROSTRO B W EH0 N - R OW1 - S T R OW0 +BUENTELLO B UW0 N - T EH1 - L OW0 +BUER B UW1 - ER0 +BUERGE B Y UW1 R JH +BUERGER B Y UW1 R - G ER0 +BUERKLE B Y UW1 R - K AH0 L +BUERRY B EH1 - R IY0 +BUESCHER B Y UW1 - SH ER0 +BUESING B Y UW1 - S IH0 NG +BUETER B Y UW1 - T ER0 +BUETOW B UW1 - T OW0 +BUETTNER B Y UW1 T - N ER0 +BUFANO B UW0 - F AA1 - N OW0 +BUFE B Y UW1 F +BUFETE B Y UW2 - F IY1 T +BUFF B AH1 F +BUFF'S B AH1 F S +BUFFA B AH1 - F AH0 +BUFFALO B AH1 - F AH0 - L OW2 +BUFFALO'S B AH1 - F AH0 - L OW2 Z +BUFFALOS B AH1 - F AH0 - L OW2 Z +BUFFER B AH1 - F ER0 +BUFFERED B AH1 - F ER0 D +BUFFERIN B AH1 - F ER0 - IH0 N +BUFFERS B AH1 - F ER0 Z +BUFFET B AH1 - F AH0 T +BUFFET(2) B AH0 - F EY1 +BUFFETED B AH0 - F EY1 D +BUFFETED(2) B AH1 - F IH2 - T IH0 D +BUFFETING B AH0 - F EY1 - IH0 NG +BUFFETING(2) B AH1 - F AH0 - T IH0 NG +BUFFETS B AH1 - F AH0 T S +BUFFETS(2) B AH0 - F EY1 Z +BUFFETT B AH1 - F IH0 T +BUFFETT'S B AH1 - F AH0 T S +BUFFIN B AH1 - F IH0 N +BUFFINGTON B AH1 - F IH0 NG - T AH0 N +BUFFKIN B AH1 F - K IH0 N +BUFFO B UW1 - F OW0 +BUFFONE B UW0 - F OW1 - N IY0 +BUFFOON B AH0 - F UW1 N +BUFFORD B AH1 - F ER0 D +BUFFS B AH1 F S +BUFFTON B AH1 F - T AH0 N +BUFFUM B AH1 - F AH0 M +BUFFY B AH1 - F IY0 +BUFKIN B AH1 F - K IH0 N +BUFORD B Y UW1 - F ER0 D +BUG B AH1 G +BUGA B Y UW1 - G AH0 +BUGA(2) B IY1 - Y UW1 - JH IY1 - EY1 +BUGABOO B AH1 - G AH0 - B UW2 +BUGAJ B UW1 - G AH0 JH +BUGARIN B Y UW1 - G ER0 - IH0 N +BUGAY B Y UW1 - G EY0 +BUGBEE B AH1 G - B IY2 +BUGEYE B AH1 - G AY2 +BUGEYED B AH1 - G AY2 D +BUGG B AH1 G +BUGGE B AH1 G +BUGGED B AH1 G D +BUGGER B AH1 - G ER0 +BUGGERS B AH1 - G ER0 Z +BUGGIES B AH1 - G IY0 Z +BUGGING B AH1 - G IH0 NG +BUGGS B AH1 G Z +BUGGY B AH1 - G IY0 +BUGH B Y UW1 G +BUGHER B Y UW1 - G ER0 +BUGLE B Y UW1 - G AH0 L +BUGLES B Y UW1 - G AH0 L Z +BUGLING B Y UW1 - G AH0 - L IH0 NG +BUGLING(2) B Y UW1 - G L IH0 NG +BUGLIOSI B UW0 G - L IY0 - OW1 - S IY0 +BUGLIOSI'S B UW0 G - L IY0 - OW1 - S IY0 Z +BUGOJNO B UW0 - G OW1 ZH - N OW0 +BUGS B AH1 G Z +BUGSY B AH1 G - Z IY0 +BUHL B Y UW1 L +BUHLER B UW1 - L ER0 +BUHMAN B AH1 - M AH0 N +BUHR B Y UH1 R +BUHRMAN B UH1 R - M AH0 N +BUHROW B UH1 - R OW0 +BUI B IH1 +BUI(2) B W IY1 +BUICE B IH1 S +BUICE(2) B W IY1 S +BUICK B Y UW1 - IH0 K +BUICK'S B Y UW1 - IH0 K S +BUICKS B Y UW1 - IH0 K S +BUIE B UW0 - IY1 +BUIE(2) B W IY1 +BUIKEMA B IH0 - K EY1 - M AH0 +BUIKEMA(2) B W IH0 - K EY1 - M AH0 +BUILD B IH1 L D +BUILDABLE B IH1 L - D AH0 - B AH0 L +BUILDER B IH1 L - D ER0 +BUILDER'S B IH1 L - D ER0 Z +BUILDERS B IH1 L - D ER0 Z +BUILDERS' B IH1 L - D ER0 Z +BUILDING B IH1 L - D IH0 NG +BUILDING'S B IH1 L - D IH0 NG Z +BUILDINGS B IH1 L - D IH0 NG Z +BUILDS B IH1 L D Z +BUILDUP B IH1 L D - AH2 P +BUILDUPS B IH1 L D - AH2 P S +BUILT B IH1 L T +BUIS B IH1 Z +BUISSON B W IY2 - S AA1 N +BUIST B UW1 - IH0 S T +BUITONI B Y UW0 - T OW1 - N IY0 +BUITRAGO B IH0 - T R AA1 - G OW0 +BUITRON B IH1 - T R AH0 N +BUJAK B UW1 - Y AH0 K +BUJUMBURA B UW0 - JH AH0 M - B UH1 - R AH0 +BUKAVU B UW0 - K AA1 - V UW2 +BUKAVU'S B UW0 - K AA1 - V UW2 Z +BUKER B Y UW1 - K ER0 +BUKHARIN B AH1 K - HH ER0 - IH0 N +BUKOVSKY B UW0 - K AA1 V S - K IY0 +BUKOWSKI B Y UW0 - K AO1 F S - K IY0 +BULA B Y UW1 - L AH0 +BULAT B UW1 - L AH0 T +BULB B AH1 L B +BULBOUS B AH1 L - B AH0 S +BULBS B AH1 L B Z +BULEN B AH1 - L AH0 N +BULENT B Y UW1 - L AH0 N T +BULEY B Y UW1 - L IY0 +BULFINCH B UH1 L - F IH2 N CH +BULFINCH'S B UH1 L - F IH2 N - CH IH0 Z +BULGARIA B AH0 L - G EH1 - R IY0 - AH0 +BULGARIA'S B AH0 L - G EH1 - R IY0 - AH0 Z +BULGARIAN B AH0 L - G EH1 - R IY0 - AH0 N +BULGARIANS B AH0 L - G EH1 - R IY0 - AH0 N Z +BULGE B AH1 L JH +BULGED B AH1 L JH D +BULGER B AH1 L - G ER0 +BULGES B AH1 L - JH IH0 Z +BULGING B AH1 L - JH IH0 NG +BULGRIN B UH1 L - G R IH0 N +BULIMIA B Y UW0 - L IH1 - M IY0 - AH0 +BULIMIC B Y UW0 - L IH1 - M IH0 K +BULIMIC(2) B UW0 - L IH1 - M IH0 K +BULIN B Y UW1 - L IH0 N +BULK B AH1 L K +BULKELEY B UH1 L - K AH0 - L IY0 +BULKHEAD B AH1 L K - HH EH2 D +BULKHEADS B AH1 L K - HH EH2 D Z +BULKIER B AH1 L - K IY0 - ER0 +BULKLEY B AH1 L K - L IY0 +BULKY B AH1 L - K IY0 +BULL B UH1 L +BULL'S B UH1 L Z +BULLA B UH1 - L AH0 +BULLARD B UH1 - L ER0 D +BULLDOG B UH1 L - D AO2 G +BULLDOGS B UH1 L - D AO2 G Z +BULLDOZE B UH1 L - D OW2 Z +BULLDOZED B UH1 L - D OW2 Z D +BULLDOZER B UH1 L - D OW2 - Z ER0 +BULLDOZERS B UH1 L - D OW2 - Z ER0 Z +BULLDOZING B UH1 L - D OW2 - Z IH0 NG +BULLEN B UH1 - L AH0 N +BULLER B UH1 - L ER0 +BULLET B UH1 - L AH0 T +BULLETIN B UH1 - L IH0 - T AH0 N +BULLETINS B UH1 - L AH0 - T AH0 N Z +BULLETPROOF B UH1 - L AH0 T - P R UW2 F +BULLETS B UH1 - L AH0 T S +BULLFIGHT B UH1 L - F AY2 T +BULLFIGHTER B UH1 L - F AY2 - T ER0 +BULLFIGHTING B UH1 L - F AY2 - T IH0 NG +BULLFIGHTS B UH1 L - F AY2 T Z +BULLFROG B UH1 L - F R AO2 G +BULLFROGS B UH1 L - F R AO2 G Z +BULLHEAD B UH1 L - HH EH2 D +BULLHEADS B UH1 L - HH EH2 D Z +BULLHORN B UH1 L - HH AO2 R N +BULLHORNS B UH1 L - HH AO2 R N Z +BULLIED B UH1 - L IY0 D +BULLIES B UH1 - L IY0 Z +BULLINGER B UH1 - L IH0 - NG ER0 +BULLINGTON B UH1 - L IH0 NG - T AH0 N +BULLINS B UH1 - L IH0 N Z +BULLION B UH1 - L Y AH0 N +BULLIS B UH1 - L IH0 S +BULLISH B UH1 - L IH0 SH +BULLISHLY B UH1 - L IH0 SH - L IY0 +BULLISHNESS B UH1 - L IH0 SH - N AH0 S +BULLITT B UW1 - L IH0 T +BULLMAN B UH1 L - M AH0 N +BULLOCH B UH1 - L AH0 K +BULLOCK B UH1 - L AH0 K +BULLOCK'S B UH1 - L AH0 K S +BULLOCKS B UH1 - L AH0 K S +BULLPEN B UH1 L - P EH2 N +BULLS B UH1 L Z +BULLS' B UH1 L Z +BULLSEYE B UW1 L - Z AY0 +BULLSHIT B UH1 L - SH IH2 T +BULLUCK B UH1 - L AH0 K +BULLWINKLE B UH1 L - W IH2 NG - K AH0 L +BULLY B UH1 - L IY0 +BULLYING B UH1 - L IY0 - IH0 NG +BULMAN B AH1 L - M AH0 N +BULMER B AH1 L - M ER0 +BULOVA B Y UW0 - L OW1 - V AH0 +BULOW B Y UW1 - L OW0 +BULRUSH B UH1 L - R AH0 SH +BULSON B UH1 L - S AH0 N +BULT B AH1 L T +BULTEMA B UW0 L - T EH1 - M AH0 +BULTHUIS B AH1 L - DH UW0 - IH0 Z +BULTMAN B UH1 L T - M AH0 N +BULWARK B UH1 L - W ER0 K +BULWINKLE B UH1 L - W IH2 NG - K AH0 L +BUM B AH1 M +BUMANN B Y UW1 - M AH0 N +BUMBALOUGH B AH1 M - B AH0 - L AW0 +BUMBARGER B AH1 M - B AA2 R - G ER0 +BUMBAUGH B AH1 M - B AO2 +BUMBLE B AH1 M - B AH0 L +BUMBLING B AH1 M - B AH0 L - IH0 NG +BUMBLING(2) B AH1 M - B L IH0 NG +BUMGARDNER B AH1 M - G AA2 R D - N ER0 +BUMGARNER B AH1 M - G AA2 R - N ER0 +BUMIPUTRA B UW2 - M IY0 - P Y UW1 - T R AH0 +BUMMED B AH1 M D +BUMMER B AH1 - M ER0 +BUMP B AH1 M P +BUMPAS B AH1 M - P AH0 Z +BUMPASS B AH1 M - P AE2 S +BUMPED B AH1 M P T +BUMPER B AH1 M - P ER0 +BUMPERS B AH1 M - P ER0 Z +BUMPERSTICKER B AH1 M - P ER0 - S T IH0 - K ER0 +BUMPERSTICKERS B AH1 M - P ER0 - S T IH0 - K ER0 Z +BUMPING B AH1 M - P IH0 NG +BUMPINGS B AH1 M - P IH0 NG Z +BUMPKIN B AH1 M P - K IH0 N +BUMPS B AH1 M P S +BUMPUS B AH1 M - P AH0 S +BUMPY B AH1 M - P IY0 +BUMS B AH1 M Z +BUMSTEAD B AH1 M - S T EH2 D +BUN B AH1 N +BUNCE B AH1 N S +BUNCH B AH1 N CH +BUNCHE B AH1 N CH +BUNCHED B AH1 N CH T +BUNCHES B AH1 N - CH AH0 Z +BUNCHES(2) B AH1 N - CH IH0 Z +BUNCHING B AH1 N - CH IH0 NG +BUNCHY B AH1 N - CH IY0 +BUND B AH1 N D +BUNDA B AH1 N - D AH0 +BUNDE B AH1 N D +BUNDESBANK B UH1 N - D IH0 S - B AE2 NG K +BUNDESBANK'S B UH1 N - D IH0 S - B AE2 NG K S +BUNDESBANK(2) B AA1 N - D IH0 S - B AE2 NG K +BUNDESBANK(3) B UH1 N - D IH0 S - B AA2 NG K +BUNDESPOST B UH1 N - D IH0 - S P OW2 S T +BUNDESPOST'S B UH1 N - D IH0 - S P OW2 S T S +BUNDESRAT B UH1 N - D IH0 S - R AE2 T +BUNDESTAG B AH1 N - D AH0 - S T AE2 G +BUNDESWEHR B AH1 N - D AH0 S - W EH2 R +BUNDICK B AH1 N - D IH0 K +BUNDLE B AH1 N - D AH0 L +BUNDLED B AH1 N - D AH0 L D +BUNDLES B AH1 N - D AH0 L Z +BUNDLING B AH1 N - D AH0 L - IH0 NG +BUNDLING(2) B AH1 N D - L IH0 NG +BUNDREN B AH1 N - D ER0 - AH0 N +BUNDRICK B AH1 N - D R IH0 K +BUNDS B AH1 N D Z +BUNDSCHUH B AH1 N D - SH UW0 +BUNDY B AH1 N - D IY0 +BUNDY'S B AH1 N - D IY0 Z +BUNDYS B AH1 N - D IY0 Z +BUNG B AH1 NG +BUNGALOW B AH1 NG - G AH0 - L OW2 +BUNGALOWS B AH1 NG - G AH0 - L OW2 Z +BUNGARD B AH1 NG - G ER0 D +BUNGE B AH1 N JH +BUNGEE B AH1 N - JH IY0 +BUNGER B AH1 - NG ER0 +BUNGERT B AH1 NG - G ER0 T +BUNGEY B AH1 N - JH IY0 +BUNGLED B AH1 NG - G AH0 L D +BUNGLER B AH1 NG - G L ER0 +BUNGLERS B AH1 NG - G L ER0 Z +BUNGLING B AH1 NG - G AH0 L - IH0 NG +BUNGLING(2) B AH1 NG - G L IH0 NG +BUNK B AH1 NG K +BUNKE B AH1 NG K +BUNKER B AH1 NG - K ER0 +BUNKERS B AH1 NG - K ER0 Z +BUNKLEY B AH1 NG K - L IY0 +BUNKS B AH1 NG K S +BUNN B AH1 N +BUNNELL B AH1 - N AH0 L +BUNNER B AH1 - N ER0 +BUNNEY B AH1 - N IY0 +BUNNI B UW1 - N IY0 +BUNNIE B AH1 - N IY0 +BUNNIES B AH1 - N IY0 Z +BUNNING B AH1 - N IH0 NG +BUNNY B AH1 - N IY0 +BUNOWSKI B UW2 - N AW1 S - K IY0 +BUNS B AH1 N Z +BUNT B AH1 N T +BUNT'S B AH1 N T S +BUNTAIN B AH0 N - T EY1 N +BUNTE B AH1 N T +BUNTEN B AH1 N - T AH0 N +BUNTIN B AH1 N - T IH0 N +BUNTING B AH1 N - T IH0 NG +BUNTON B AH1 N - T AH0 N +BUNTROCK B AH1 N - T R AA2 K +BUNTSTROCK B AH1 N T - S T R AA2 K +BUNTYN B AH1 N - T IH0 N +BUNTZ B AH1 N T S +BUNYAN B AH1 - N Y AH0 N +BUNYARD B AH0 N - Y AA1 R D +BUNZL B AH1 N - Z AH0 L +BUOL B OW1 L +BUONANNO B W OW0 - N AA1 - N OW0 +BUONICONTIS B W AA2 - N IH0 - K AA1 N - T IY0 Z +BUONO B W OW1 - N OW0 +BUONOCORE B W OW0 - N OW0 - K AO1 - R IY0 +BUONOMO B W OW0 - N OW1 - M OW0 +BUOY B UW1 - IY0 +BUOYANCY B OY1 - AH0 N - S IY0 +BUOYANT B OY1 - AH0 N T +BUOYED B UW1 - IY0 D +BUOYING B OY1 - IH0 NG +BUOYS B UW1 - IY0 Z +BUPKUS B AH1 P - K AH0 S +BUPP B AH1 P +BUPRENORPHINE B Y UW1 - P R AH0 - N ER0 - F IY2 N +BUR B ER1 +BURACK B Y UW1 - R AH0 K +BURAK B Y UW1 - R AH0 K +BURAN B Y UW1 - R AH0 N +BURANDT B Y UW1 - R AH0 N T +BURAS B Y UW1 - R AH0 Z +BURBA B ER1 - B AH0 +BURBACH B ER1 - B AA0 K +BURBACK B ER1 - B AE0 K +BURBAGE B ER1 - B IH0 JH +BURBANK B ER1 - B AE2 NG K +BURBANK'S B ER1 - B AE0 NG K S +BURBIDGE B ER1 - B IH0 JH +BURBRIDGE B ER1 - B R IH0 JH +BURBY B ER1 - B IY0 +BURCH B ER1 CH +BURCHAM B ER0 - SH AE1 M +BURCHARD B ER0 - SH AA1 R D +BURCHELL B ER1 - K AH0 L +BURCHER B ER1 - CH ER0 +BURCHETT B ER1 - CH IH0 T +BURCHETTE B ER0 - SH EH1 T +BURCHFIELD B ER1 CH - F IY0 L D +BURCHILL B ER1 K - HH IH0 L +BURCIAGA B UH0 R - S IY0 - AA1 - G AH0 +BURCK B ER1 K +BURCKHARD B ER1 K - HH ER0 D +BURCKHARDT B ER1 K - HH AA0 R T +BURD B ER1 D +BURDA B UH1 R - D AH0 +BURDELL B ER0 - D EH1 L +BURDEN B ER1 - D AH0 N +BURDENED B ER1 - D AH0 N D +BURDENING B ER1 - D AH0 N - IH0 NG +BURDENS B ER1 - D AH0 N Z +BURDENSOME B ER1 - D AH0 N - S AH0 M +BURDETT B ER1 - D IH0 T +BURDETTE B ER0 - D EH1 T +BURDGE B ER1 JH +BURDI B UH1 R - D IY0 +BURDICK B ER1 - D IH0 K +BURDIN B ER1 - D IH0 N +BURDINE B ER0 - D IY1 N +BURDINE'S B ER0 - D IY1 N Z +BURDINE'S(2) B ER0 - D AY1 N Z +BURDINE(2) B ER0 - D AY1 N +BURDINES B ER0 - D IY1 N Z +BURDINES(2) B ER0 - D AY1 N Z +BURDITT B ER0 - D IH1 T +BURDO B UH1 R - D OW0 +BURDON B ER1 - D AH0 N +BURDSALL B ER1 D - S AH0 L +BUREAU B Y UH1 - R OW0 +BUREAU'S B Y UH1 - R OW0 Z +BUREAUCRACIES B Y UH0 - R AA1 - K R AH0 - S IY0 Z +BUREAUCRACY B Y UH0 - R AA1 - K R AH0 - S IY0 +BUREAUCRACY'S B Y UH0 - R AA1 - K R AH0 - S IY0 Z +BUREAUCRAT B Y UH1 - R AH0 - K R AE2 T +BUREAUCRAT(2) B Y UH1 - R OW0 - K R AE2 T +BUREAUCRATESE B Y UH1 - R AH0 - K R AE0 - T IY2 Z +BUREAUCRATIC B Y UH2 - R AH0 - K R AE1 - T IH0 K +BUREAUCRATS B Y UH1 - R AH0 - K R AE2 T S +BUREAUCRATS(2) B Y UH1 - R OW0 - K R AE2 T S +BUREAUS B Y UH1 - R OW0 Z +BUREK B EH1 - R IH0 K +BUREL B EH1 - R AH0 L +BURELL B EH1 - R AH0 L +BUREN B Y UH1 - R AH0 N +BURES B EH1 R Z +BURES(2) B EH1 - R IH0 Z +BURESH B EH1 - R IH0 SH +BURFEIND B ER1 - F AY0 N D +BURFIELD B ER1 - F IY0 L D +BURFORD B ER1 - F ER0 D +BURG B ER1 G +BURGAMY B ER1 - G AH0 - M IY0 +BURGAN B ER1 - G AE0 N +BURGARD B ER1 - G ER0 D +BURGDORF B ER1 G - D AO0 R F +BURGE B ER1 G +BURGEE B ER1 - G IY0 +BURGENER B ER1 - G IY0 - N ER0 +BURGEON B ER1 - JH AH0 N +BURGEONED B ER1 - JH AH0 N D +BURGEONING B ER1 - JH AH0 - N IH0 NG +BURGER B ER1 - G ER0 +BURGER'S B ER1 - G ER0 Z +BURGERS B ER1 - G ER0 Z +BURGERT B ER1 - G ER0 T +BURGES B ER1 G Z +BURGESON B ER1 - G IH0 - S AH0 N +BURGESS B ER1 - JH AH0 S +BURGET B ER1 - G EH0 T +BURGETT B ER1 - JH IH0 T +BURGGRAF B ER1 - G R AH0 F +BURGHARDT B ER1 - G AA0 R T +BURGHART B ER1 - G HH AA0 R T +BURGHER B ER1 - G ER0 +BURGHLEY B ER1 - G L IY0 +BURGIN B ER1 - G IH0 N +BURGIO B ER1 - G IY0 - OW0 +BURGLAR B ER1 - G L ER0 +BURGLARIES B ER1 - G L ER0 - IY0 Z +BURGLARIZE B ER1 - G L ER0 - AY2 Z +BURGLARIZED B ER1 - G L ER0 - AY2 Z D +BURGLARS B ER1 - G L ER0 Z +BURGLARY B ER1 - G L ER0 - IY0 +BURGLING B ER1 - G L IH0 NG +BURGMAN B ER1 G - M AH0 N +BURGMASTER B ER1 G - M AE2 - S T ER0 +BURGNER B ER1 G - N ER0 +BURGO B ER1 - G OW0 +BURGOMASTER B ER1 - G AH0 - M AE2 - S T ER0 +BURGOMASTER'S B ER1 - G AH0 - M AE2 - S T ER0 Z +BURGOMASTERS B ER1 - G AH0 - M AE2 - S T ER0 Z +BURGOON B ER1 - G UW0 N +BURGOS B ER1 - G OW0 Z +BURGOYNE B ER0 - G OY1 N +BURGOYNE'S B ER0 - G OY1 N Z +BURGUNDIAN B ER0 - G AH1 N - D IY0 - AH0 N +BURGUNDIANS B ER0 - G AH1 N - D IY0 - AH0 N Z +BURGUNDIES B ER1 - G AH0 N - D IY0 Z +BURGUNDY B ER1 - G AH0 N - D IY0 +BURGUNDY'S B ER1 - G AH0 N - D IY0 Z +BURGY B ER1 - JH IY0 +BURHAM B ER1 - HH AH0 M +BURHANS B ER1 - HH AH0 N Z +BURI B UH1 - R IY0 +BURIAL B EH1 - R IY0 - AH0 L +BURIALS B EH1 - R IY0 - AH0 L Z +BURIAN B Y UH1 - R IY0 - AH0 N +BURICH B EH1 - R IH0 K +BURIED B EH1 - R IY0 D +BURIES B EH1 - R IY0 Z +BURK B ER1 K +BURKARD B ER1 - K ER0 D +BURKART B ER1 - K AA0 R T +BURKE B ER1 K +BURKE'S B ER1 K S +BURKEEN B ER0 - K IY1 N +BURKEL B ER1 - K AH0 L +BURKEMPER B ER1 - K IH0 M - P ER0 +BURKERT B ER1 - K ER0 T +BURKES B ER1 K S +BURKET B ER1 - K IH0 T +BURKETT B ER1 - K IH0 T +BURKEY B ER1 - K IY0 +BURKHALTER B ER1 K - HH AH0 L - T ER0 +BURKHAMMER B ER1 K - HH AH0 - M ER0 +BURKHARD B ER1 K - HH ER0 D +BURKHARDT B ER1 K - HH AA0 R T +BURKHART B ER1 K - HH AA0 R T +BURKHEAD B ER1 K - HH EH0 D +BURKHOLDER B ER1 K - HH OW0 L - D ER0 +BURKINA B ER0 - K IY1 - N AH0 +BURKINS B ER1 - K IH0 N Z +BURKITT B ER1 - K IH0 T +BURKLAND B ER1 K - L AH0 N D +BURKLE B ER1 - K AH0 L +BURKLEY B ER1 K - L IY0 +BURKLOW B ER1 - K L AW0 +BURKLUND B ER1 K - L AH0 N D +BURKMAN B ER1 K - M AH0 N +BURKS B ER1 K S +BURKUS B ER1 - K AH0 S +BURL B ER1 L +BURLAND B ER1 - L AH0 N D +BURLAP B ER1 - L AE2 P +BURLAPPED B ER1 - L AE2 P T +BURLATSKY B ER0 - L AE1 T S - K IY0 +BURLEIGH B ER1 - L AH0 +BURLESON B ER1 - L IH0 - S AH0 N +BURLESON(2) B ER1 L - S AH0 N +BURLESQUE B ER0 - L EH1 S K +BURLEW B ER1 - L UW0 +BURLEY B ER1 - L IY0 +BURLING B ER1 - L IH0 NG +BURLINGAME B ER1 - L IH0 NG - G EY2 M +BURLINGHAM B ER1 - L IH0 NG - HH AE2 M +BURLINGTON B ER1 - L IH0 NG - T AH0 N +BURLINGTON'S B ER1 - L IH0 NG - T AH0 N Z +BURLISON B ER1 - L IH0 - S AH0 N +BURLY B ER1 - L IY0 +BURMA B ER1 - M AH0 +BURMA'S B ER1 - M AH0 Z +BURMAH B ER1 - M AH0 +BURMAN B ER1 - M AH0 N +BURMANS B ER1 - M AH0 N Z +BURMASTER B ER1 - M AE0 - S T ER0 +BURMEISTER B ER1 - M AY0 - S T ER0 +BURMESE B ER0 - M IY1 Z +BURMESTER B ER1 - M IH0 - S T ER0 +BURN B ER1 N +BURNABLE B ER1 - N AH0 - B AH0 L +BURNABY B ER1 - N AH0 - B IY0 +BURNAM B ER1 - N AH0 M +BURNAP B ER1 - N AH0 P +BURNARD B ER0 - N AA1 R D +BURNDY B ER1 N - D IY0 +BURNE B ER1 N +BURNED B ER1 N D +BURNELL B ER1 - N AH0 L +BURNER B ER1 - N ER0 +BURNERS B ER1 - N ER0 Z +BURNES B ER1 N Z +BURNESS B ER1 - N AH0 S +BURNET B ER1 - N IH0 T +BURNETT B ER0 - N EH1 T +BURNETT'S B ER0 - N EH1 T S +BURNETTE B ER1 - N EH1 T +BURNEY B ER1 - N IY0 +BURNHAM B ER1 - N AH0 M +BURNHAM'S B ER1 - N AH0 M Z +BURNHAM'S(2) B ER1 N - HH AE0 M Z +BURNHAM(2) B ER1 N - HH AE0 M +BURNING B ER1 - N IH0 NG +BURNINGHAM B ER1 - N IH0 NG - HH AE2 M +BURNINGS B ER1 - N IH0 NG Z +BURNISH B ER1 - N IH0 SH +BURNISHED B ER1 - N IH0 SH T +BURNLEY B ER1 N - L IY0 +BURNLEY'S B ER1 N - L IY0 Z +BURNOUT B ER1 N - AW2 T +BURNS B ER1 N Z +BURNS' B ER1 N Z +BURNS'S B ER1 N - Z IH0 Z +BURNSED B ER1 N Z D +BURNSIDE B ER1 N - S AY2 D +BURNSIDE'S B ER1 N - S AY2 D Z +BURNSTEIN B ER1 N - S T AY2 N +BURNSTEIN(2) B ER1 N - S T IY2 N +BURNSWORTH B ER1 N Z - W ER2 TH +BURNT B ER1 N T +BURNUP B ER1 - N AH2 P +BURNWORTH B ER1 N - W ER2 TH +BUROKER B Y UW1 - R AH0 - K ER0 +BUROW B Y UH1 - R OW0 +BURP B ER1 P +BURPEE B ER1 - P IY0 +BURPING B ER1 - P IH0 NG +BURPO B UH1 R - P OW0 +BURR B ER1 +BURRAGE B ER1 - IH0 JH +BURRELL B ER0 - EH1 L +BURRER B ER1 - ER0 +BURRES B ER1 Z +BURRESS B ER1 - AH0 S +BURRI B UH1 - R IY0 +BURRIDGE B AO1 - R IH0 JH +BURRIER B ER1 - IY0 - ER0 +BURRIGHT B AO1 - R AY0 T +BURRILL B AO1 - R AH0 L +BURRINGTON B ER1 - IH0 NG - T AH0 N +BURRIS B ER1 - IH0 S +BURRISS B ER1 - IH0 - S IH0 Z +BURRITO B ER0 - IY1 - T OW0 +BURRITOS B ER0 - IY1 - T OW0 S +BURRITT B ER1 - IH0 T +BURRO B ER1 - OW0 +BURROLA B UH0 - R OW1 - L AH0 +BURROS B ER1 - OW0 Z +BURROUGH B ER1 - OW0 +BURROUGHS B AH1 - R OW0 Z +BURROUGHS(2) B ER1 - OW0 Z +BURROUS B ER1 - AH0 S +BURROW B ER1 - OW0 +BURROWER B ER1 - OW0 - ER0 +BURROWERS B ER1 - OW0 - ER0 Z +BURROWES B ER1 - OW2 Z +BURROWING B ER1 - OW0 - IH0 NG +BURROWS B ER1 - OW0 Z +BURRUS B UH1 - R AH0 S +BURRUSS B UH1 - R AH0 S +BURRY B ER1 - IY0 +BURSCH B ER1 SH +BURSE B ER1 S +BURSEY B ER1 - S IY0 +BURSLEY B ER1 S - L IY0 +BURSON B ER1 - S AH0 N +BURST B ER1 S T +BURSTEIN B ER1 - S T AY0 N +BURSTEIN(2) B ER1 - S T IY0 N +BURSTING B ER1 - S T IH0 NG +BURSTON B ER1 - S T AH0 N +BURSTS B ER1 S T S +BURT B ER1 T +BURTCH B ER1 CH +BURTIS B ER1 - T IH0 S +BURTNER B ER1 T - N ER0 +BURTNESS B ER1 T - N IH0 S +BURTNETT B ER1 T - N IH0 T +BURTON B ER1 - T AH0 N +BURTON'S B ER1 - T AH0 N Z +BURTS B ER1 T S +BURTT B ER1 T +BURUNDI B ER0 - AH1 N - D IY0 +BURUNDI'S B ER0 - AH1 N - D IY0 Z +BURWELL B ER1 - W EH0 L +BURWICK B ER1 - W IH0 K +BURY B EH1 - R IY0 +BURY'S B EH1 - R IY0 Z +BURYING B EH1 - R IY0 - IH0 NG +BURZYNSKI B ER0 - Z IH1 N - S K IY0 +BUS B AH1 S +BUSA B Y UW1 - S AH0 +BUSALACCHI B UW0 - S AA0 - L AA1 - K IY0 +BUSAM B IH1 - S AH0 M +BUSBEE B AH1 S - B IY2 +BUSBEY B AH1 S - B IY0 +BUSBIN B AH1 S - B IH0 N +BUSBOOM B AH1 S - B UW2 M +BUSBOY B AH1 S - B OY2 +BUSBOYS B AH1 S - B OY2 Z +BUSBY B AH1 Z - B IY0 +BUSCAGLIA B UW0 - S K AA1 G - L IY0 - AH0 +BUSCEMI B UW0 S - CH EH1 - M IY0 +BUSCH B UH1 SH +BUSCH'S B UH1 - SH IH0 Z +BUSCHBAUM B UH1 SH - B AW2 M +BUSCHE B AH1 SH +BUSCHER B UW1 - SH ER0 +BUSCHMAN B AH1 SH - M AH0 N +BUSCHMANN B AH1 SH - M AH0 N +BUSE B Y UW1 Z +BUSED B AH1 S T +BUSEMAN B IH1 S - M AH0 N +BUSENBARK B IH1 - S IH0 N - B AA0 R K +BUSER B IH1 - S ER0 +BUSES B AH1 - S IH0 Z +BUSEY B Y UW1 - Z IY0 +BUSEY(2) B AH1 - S IY0 +BUSH B UH1 SH +BUSH'S B UH1 - SH IH0 Z +BUSHA B AH1 - SH AH0 +BUSHARD B UH1 - SH ER0 D +BUSHART B UH1 - SH AA0 R T +BUSHAW B UH1 - SH AO0 +BUSHBY B UH1 SH - B IY0 +BUSHEE B UH1 - SH IY1 +BUSHEL B UH1 - SH AH0 L +BUSHELL B UH1 - SH AH0 L +BUSHELS B UH1 - SH AH0 L Z +BUSHER B UH1 - SH ER0 +BUSHES B UH1 - SH AH0 Z +BUSHEY B UH1 - SH IY0 +BUSHINGS B UH1 - SH IH0 NG Z +BUSHKIN B UH1 SH - K IH2 N +BUSHMAN B UH1 SH - M AH0 N +BUSHMEN B UH1 SH - M EH0 N +BUSHNELL B UH1 SH - N AH0 L +BUSHONG B UH1 - SH AO0 NG +BUSHWAY B UH1 SH - W EY2 +BUSHY B UH1 - SH IY0 +BUSIC B AH1 - S IH0 K +BUSICK B IH1 - S IH0 K +BUSIED B IH1 - Z IY0 D +BUSIER B IH1 - Z IY0 - ER0 +BUSIEST B IH1 - Z IY0 - AH0 S T +BUSILY B IH1 - Z AH0 - L IY0 +BUSINESS B IH1 Z - N AH0 S +BUSINESS' B IH1 Z - N IH0 S +BUSINESS'(2) B IH1 Z - N AH0 S +BUSINESS'S B IH1 Z - N IH0 - S IH0 Z +BUSINESS(2) B IH1 Z - N IH0 S +BUSINESSES B IH1 Z - N AH0 - S AH0 Z +BUSINESSES' B IH1 Z - N EH2 - S IH0 Z +BUSINESSES(2) B IH1 Z - N IH0 - S IH0 Z +BUSINESSLAND B IH1 Z - N IH0 S - L AE2 N D +BUSINESSLIKE B IH1 Z - N IH0 S - L AY2 K +BUSINESSMAN B IH1 Z - N AH0 S - M AE2 N +BUSINESSMAN'S B IH1 Z - N IH0 S - M AE2 N Z +BUSINESSMAN(2) B IH1 Z - N IH0 S - M AE2 N +BUSINESSMEN B IH1 Z - N IH0 S - M EH2 N +BUSINESSPEOPLE B IH1 Z - N AH0 S - P IY1 - P AH0 L +BUSINESSPERSON B IH1 Z - N AH0 S - P ER1 - S AH0 N +BUSINESSPHONE B IH1 Z - N AH0 S - F OW2 N +BUSINESSPHONES B IH1 Z - N AH0 S - F OW2 N Z +BUSINESSWOMAN B IH1 Z - N IH0 S - W UH2 - M AH0 N +BUSINESSWOMEN B IH1 Z - N AH0 S - W OW1 - M AH0 N +BUSING B AH1 - S IH0 NG +BUSK B AH1 S K +BUSKE B AH1 S K +BUSKER B AH1 - S K ER0 +BUSKEY B AH1 S - K IY2 +BUSKIRK B AH1 - S K ER0 K +BUSLEASE B AH1 S - L IY2 S +BUSLER B AH1 - S AH0 - L ER0 +BUSLER(2) B AH1 S - L ER0 +BUSLOAD B AH0 S - L OW1 D +BUSLOADS B AH0 S - L OW1 D Z +BUSPAR B AH1 - S P ER0 +BUSS B AH1 S +BUSSA B UW1 - S AH0 +BUSSARD B AH1 - S ER0 D +BUSSE B AH1 S +BUSSED B AH1 S T +BUSSELL B AH1 - S AH0 L +BUSSEN B AH1 - S AH0 N +BUSSER B AH1 - S ER0 +BUSSERT B AH1 - S ER0 T +BUSSES B AH1 - S AH0 Z +BUSSEY B AH1 - S IY0 +BUSSI B AH1 - S IY0 +BUSSI(2) B Y UW1 - S IY0 +BUSSIE B AH1 - S IY0 +BUSSIE(2) B Y UW1 - S IY0 +BUSSIERE B AH1 - S IY0 - EH0 R +BUSSING B AH1 - S IH0 NG +BUSSINGER B AH1 - S IH0 N - JH ER0 +BUSSMAN B AH1 S - M AH0 N +BUST B AH1 S T +BUSTA B AH1 - S T AH0 +BUSTAMANTE B UW2 - S T AH0 - M AA1 N - T IY0 +BUSTARD B AH1 - S T ER0 D +BUSTED B AH1 - S T IH0 D +BUSTER B AH1 - S T ER0 +BUSTERS B AH1 - S T ER0 Z +BUSTI B AH1 - S T IY0 +BUSTIER B AH1 - S T Y ER0 +BUSTILLO B UW0 - S T IH1 - L OW0 +BUSTILLOS B AH1 - S T AY0 - L OW0 Z +BUSTIN B AH1 - S T IH0 N +BUSTING B AH1 - S T IH0 NG +BUSTLE B AH1 - S AH0 L +BUSTLING B AH1 - S AH0 - L IH0 NG +BUSTLING(2) B AH1 - S L IH0 NG +BUSTO B AH1 - S T OW0 +BUSTOS B AH1 - S T OW0 Z +BUSTS B AH1 S T S +BUSULAKI B Y UW1 - S AH0 - L AE2 - K IY0 +BUSWELL B AH1 - S W EH2 L +BUSY B IH1 - Z IY0 +BUT B AH1 T +BUT'S B AH1 T S +BUTALA B UW0 - T AA1 - L AH0 +BUTANE B Y UW0 - T EY1 N +BUTANE(2) B Y UW1 - T EY0 N +BUTARE B UW0 - T AA1 - R IY0 +BUTARE'S B UW0 - T AA1 - R IY0 Z +BUTARE'S(2) B Y UW0 - T AA1 - R IY0 Z +BUTARE(2) B Y UW0 - T AA1 - R IY0 +BUTCH B UH1 CH +BUTCHART B UH1 - CH ER0 T +BUTCHER B UH1 - CH ER0 +BUTCHER'S B UH1 - CH ER0 Z +BUTCHERED B UH1 - CH ER0 D +BUTCHERING B UH1 - CH ER0 - IH0 NG +BUTCHERS B UH1 - CH ER0 Z +BUTCHERY B UH1 - CH ER0 - IY0 +BUTCHKO B AH1 CH - K OW0 +BUTCHKO(2) B UH1 CH - K OW0 +BUTE B Y UW1 T +BUTEAU B Y UW0 - T OW1 +BUTECO B UW2 - T EH1 - K OW0 +BUTENHOFF B Y UW1 - T IH0 N - HH AO0 F +BUTERA B UW0 - T EH1 - R AH0 +BUTERBAUGH B Y UW1 - T ER0 - B AW0 +BUTH B UW1 TH +BUTHELEZI B UW2 - T AH0 - L EY1 - Z IY0 +BUTHELEZI'S B UW2 - T AH0 - L EY1 - Z IY0 Z +BUTKA B AH1 T - K AH0 +BUTKIEWICZ B AH1 T - K AH0 - V IH0 CH +BUTKOVICH B AH1 T - K AH0 - V IH0 CH +BUTKUS B AH1 T - K IH0 S +BUTLER B AH1 T - L ER0 +BUTLER'S B AH1 T - L ER0 Z +BUTLERS B AH1 T - L ER0 Z +BUTMAN B AH1 T - M AH0 N +BUTNER B AH1 T - N ER0 +BUTORAC B Y UW0 - T AO1 - R AH0 K +BUTRICK B AH1 - T R IH0 K +BUTROS B UW1 - T R OW2 S +BUTROS(2) B UW1 - T R AH0 S +BUTS B AH1 T S +BUTSCH B AH1 CH +BUTSON B AH1 T - S AH0 N +BUTT B AH1 T +BUTTACAVOLI B UW0 - T AA0 - K AA0 - V OW1 - L IY0 +BUTTAFUOCO B UW0 - T AH0 - F W OW1 - K OW0 +BUTTAFUOCO'S B UW0 - T AH0 - F W OW1 - K OW0 Z +BUTTARS B AH1 - T ER0 Z +BUTTE B Y UW1 T +BUTTER B AH1 - T ER0 +BUTTERBALL B AH1 - T ER0 - B AO2 L +BUTTERBAUGH B AH1 - T ER0 - B AW0 +BUTTERCUP B AH1 - T ER0 - K AH2 P +BUTTERCUPS B AH1 - T ER0 - K AH2 P S +BUTTERED B AH1 - T ER0 D +BUTTERFAT B AH1 - T ER0 - F AE2 T +BUTTERFIELD B AH1 - T ER0 - F IY0 L D +BUTTERFLIES B AH1 - T ER0 - F L AY2 Z +BUTTERFLY B AH1 - T ER0 - F L AY2 +BUTTERFLY'S B AH1 - T ER0 - F L AY2 Z +BUTTERICK B AH1 - T ER0 - IH0 K +BUTTERMILK B AH1 - T ER0 - M IH2 L K +BUTTERMORE B AH1 - T ER0 - M AO0 R +BUTTERS B AH1 - T ER0 Z +BUTTERSCOTCH B AH1 - T ER0 - S K AA2 CH +BUTTERWORTH B AH1 - T ER0 - W ER2 TH +BUTTERY B AH1 - T ER0 - IY0 +BUTTHEAD B AH1 T - HH EH2 D +BUTTING B AH1 - T IH0 NG +BUTTITTA B UW0 - T IY1 - T AH0 +BUTTKE B AH1 T - K IY0 +BUTTLER B AH1 T - L ER0 +BUTTNER B AH1 T - N ER0 +BUTTOCK B AH1 - T AH0 K +BUTTOCKS B AH1 - T AH0 K S +BUTTON B AH1 - T AH0 N +BUTTONED B AH1 - T AH0 N D +BUTTONHOLE B AH1 - T AH0 N - HH OW2 L +BUTTONHOLED B AH1 - T AH0 N - HH OW2 L D +BUTTONHOLES B AH1 - T AH0 N - HH OW2 L Z +BUTTONS B AH1 - T AH0 N Z +BUTTONVILLE B AH1 - T AH0 N - V IH2 L +BUTTRAM B AH1 - T R AE2 M +BUTTRESS B AH1 - T R AH0 S +BUTTRESSED B AH1 - T R AH0 S T +BUTTRESSES B AH1 - T R AH0 - S AH0 Z +BUTTRESSES(2) B AH1 - T R AH0 - S IH0 Z +BUTTRESSING B AH1 - T R AH0 - S IH0 NG +BUTTREY B AH1 - T R IY0 +BUTTRICK B AH1 - T R IH0 K +BUTTRUM B AH1 - T R AH0 M +BUTTRY B AH1 - T R IY0 +BUTTS B AH1 T S +BUTULESI B UW2 - T AH0 - L EY1 - Z IY0 +BUTULESI'S B UW2 - T AH0 - L EY1 - Z IY0 Z +BUTYL B Y UW1 - T AH0 L +BUTZ B AH1 T S +BUTZBERGER B AH1 T S - B ER0 - G ER0 +BUTZEN B AH1 T - S AH0 N +BUTZER B AH1 T - S ER0 +BUTZIN B AH1 T - S AH0 N +BUUS B UW1 Z +BUXBAUM B AH1 K S - B AW0 M +BUXOM B AH1 K - S AH0 M +BUXTON B AH1 K - S T AH0 N +BUY B AY1 +BUY'S B AY1 Z +BUYBACK B AY1 - B AE2 K +BUYBACKS B AY1 - B AE2 K S +BUYER B AY1 - ER0 +BUYER'S B AY1 - ER0 Z +BUYERS B AY1 - ER0 Z +BUYERS' B AY1 - ER0 Z +BUYING B AY1 - IH0 NG +BUYOUT B AY1 - AW2 T +BUYOUTS B AY1 - AW2 T S +BUYS B AY1 Z +BUYSSE B AY1 S +BUZA B Y UW1 - Z AH0 +BUZAN B Y UW1 - Z AH0 N +BUZARD B Y UW0 - Z AA1 R D +BUZBEE B AH1 Z - B IY2 +BUZBY B AH1 Z - B IY0 +BUZEK B UW1 - Z EH0 K +BUZZ B AH1 Z +BUZZARD B AH1 - Z ER0 D +BUZZARD'S B AH1 - Z ER0 D Z +BUZZARDS B AH1 - Z ER0 D Z +BUZZED B AH1 Z D +BUZZELL B AH0 - Z EH1 L +BUZZELLI B UW0 T - S EH1 - L IY0 +BUZZER B AH1 - Z ER0 +BUZZES B AH1 - Z IH0 Z +BUZZETTA B Y UW0 - Z EH1 - T AH0 +BUZZING B AH1 - Z IH0 NG +BUZZWORD B AH1 Z - W ER0 D +BUZZWORDS B AH1 Z - W ER0 D Z +BUZZY B AH1 - Z IY0 +BUZZY'S B AH1 - Z IY0 Z +BY B AY1 +BYAM B AY1 - AH0 M +BYARD B Y AA1 R D +BYARD(2) B AY1 - ER0 D +BYARS B AY1 - ER0 Z +BYAS B AY1 - AH0 S +BYASSEE B IY0 - AA1 - S IY0 +BYBEE B AY1 - B IY2 +BYE B AY1 +BYE-BYE B AY1 - B AY1 +BYELORUSSIA B AY2 - AH0 - L OW0 - R AH1 - SH AH0 +BYELORUSSIA(2) B EH1 - L OW0 - R AH1 - SH AH0 +BYELORUSSIA(3) B AY2 - EH1 - L OW0 - R AH1 - SH AH0 +BYER B AY1 - ER0 +BYERLEIN B AY1 R - L AY2 N +BYERLEY B AY1 - ER0 - L IY0 +BYERLY B AY1 - ER0 - L IY0 +BYERS B AY1 - ER0 Z +BYFIELD B AY1 - F IY2 L D +BYFORD B IH1 - F ER0 D +BYGONE B AY1 - G AO2 N +BYGONES B AY1 - G AO2 N Z +BYINGTON B AY1 - IH0 NG - T AH0 N +BYKER B AY1 - K ER0 +BYKOWSKI B IH0 - K AO1 F S - K IY0 +BYLAND B AY1 - L AH0 N D +BYLAW B AY1 - L AO2 +BYLAWS B AY1 - L AO2 Z +BYLER B AY1 - L ER0 +BYLES B AY1 L Z +BYLINE B AY1 - L AY2 N +BYLINES B AY1 - L IY2 N Z +BYLSMA B IH1 L S - M AH0 +BYLUND B IH1 - L AH0 N D +BYNER B AY1 - N ER0 +BYNES B AY1 N Z +BYNOE B IH1 - N OW0 +BYNUM B IH1 - N AH0 M +BYPASS B AY1 - P AE2 S +BYPASSED B AY1 - P AE2 S T +BYPASSES B AY1 - P AE2 - S IH0 Z +BYPASSING B AY1 - P AE2 - S IH0 NG +BYPRODUCT B AY1 - P R AA0 - D AH0 K T +BYPRODUCTS B AY1 - P R AO2 - D AH0 K T S +BYRAM B IH1 - R AH0 M +BYRD B ER1 D +BYRD'S B ER1 D Z +BYRER B AY1 - R ER0 +BYRGE B AY1 R JH +BYRLE B AY1 - R AH0 L +BYRN B IH1 R N +BYRNE B ER1 N +BYRNE'S B ER1 N Z +BYRNES B ER1 N Z +BYRNS B IH1 R N Z +BYROM B AY1 - R AH0 M +BYRON B AY1 - R AH0 N +BYRON'S B AY1 - R AH0 N Z +BYRUM B IH1 - R AH0 M +BYSTANDER B AY1 - S T AE2 N - D ER0 +BYSTANDERS B AY1 - S T AE2 N - D ER0 Z +BYSTROM B IH1 - S T R AH0 M +BYTE B AY1 T +BYTES B AY1 T S +BYU B IY1 - W AY1 - Y UW1 +BYUN B Y AH1 N +BYUS B AY1 - AH0 S +BYWATER B AY1 - W AO2 - T ER0 +BYWAY B AY1 - W EY2 +BYWAYS B AY1 - W EY2 Z +BYWORD B AY1 - W ER2 D +BYZANTINE B IH1 - Z AH0 N - T AY2 N +BYZANTINE(2) B IH1 - Z AH0 N - T IY2 N +BYZANTIUM B AH0 - Z AE1 N - T IY0 - AH0 M +C S IY1 +C'EST S EH1 S T +C'EST(2) S EY1 +C'MON K AH0 - M AA1 N +C'S S IY1 Z +C-CODE S IY1 - K OW1 D +C-CODES S IY1 - K OW1 D Z +C-SPAN S IY1 - S P AE2 N +C-SPAN'S S IY1 - S P AE2 N Z +C. S IY1 +C.'S S IY1 Z +C.D.S S IY1 - D IY1 Z +C.S S IY1 Z +C1 S IY1 - W AH1 N +C2 S IY1 - T UW1 +C3 S IY1 - TH R IY1 +C4 S IY1 - F AO1 R +C5 S IY1 - F AY1 V +CA K AH1 +CA(2) S IY1 - EY1 +CA(3) K AA1 +CAAN K AA1 N +CAB K AE1 B +CAB'S K AE1 B Z +CABA K AA1 - B AH0 +CABAL K AH0 - B AA1 L +CABALLERO K AE2 - B AH0 - Y EH1 - R OW0 +CABAN K EY1 - B AH0 N +CABANA K AH0 - B AE1 - N AH0 +CABANAS K AH0 - B AE1 - N AH0 Z +CABANISS K AE1 - B AH0 - N IH0 S +CABARET K AE2 - B ER0 - EY1 +CABBAGE K AE1 - B AH0 JH +CABBAGE(2) K AE1 - B IH0 JH +CABBAGES K AE1 - B IH0 - JH IH0 Z +CABBIE K AE1 - B IY0 +CABBIES K AE1 - B IY0 Z +CABBY K AE1 - B IY0 +CABDRIVER K AE1 B - D R AY2 - V ER0 +CABDRIVERS K AE1 B - D R AY2 - V ER0 Z +CABE K EY1 B +CABELL K AA0 - B EH1 L +CABELLO K AH0 - B EH1 - L OW0 +CABERNET K AE2 - B ER0 - N EY1 +CABERNETS K AE2 - B ER0 - N EH1 T S +CABERNETS(2) K AE2 - B ER0 - N EY1 Z +CABEY K EY1 - B IY0 +CABEZAS K AH0 - B EY1 - Z AH0 Z +CABIN K AE1 - B AH0 N +CABINDA K AH0 - B IH1 N - D AH0 +CABINESS K EY1 - B IY0 - N IH0 S +CABINET K AE1 - B AH0 - N AH0 T +CABINET'S K AE1 B - N AH0 T S +CABINET(2) K AE1 B - N AH0 T +CABINETRY K AE1 B - N AH0 - T R IY0 +CABINETS K AE1 - B AH0 - N AH0 T S +CABINETS(2) K AE1 B - N AH0 T S +CABINS K AE1 - B AH0 N Z +CABLE K EY1 - B AH0 L +CABLE'S K EY1 - B AH0 L Z +CABLEC K AE1 - B L AH0 K +CABLEC(2) K EY1 - B AH0 L - S IY1 +CABLEC(3) K EY1 - B L EH0 K +CABLECOMM K EY1 - B AH0 L - K AA2 M +CABLECOMMS K EY1 - B AH0 L - K AA2 M Z +CABLED K EY1 - B AH0 L D +CABLEGRAM K EY1 - B AH0 L - G R AE2 M +CABLEONE K EY1 - B AH0 L - W AH2 N +CABLER K EY1 - B AH0 L - ER0 +CABLER(2) K EY1 - B L ER0 +CABLES K EY1 - B AH0 L Z +CABLESYSTEM K EY1 - B AH0 L - S IH2 - S T AH0 M +CABLESYSTEMS K EY1 - B AH0 L - S IH2 - S T AH0 M Z +CABLETRON K EY1 - B AH0 L - T R AO2 N +CABLETRON'S K EY1 - B AH0 L - T R AO2 N Z +CABLEVISION K EY1 - B AH0 L - V IH2 - ZH AH0 N +CABLEVISION'S K EY1 - B AH0 L - V IH2 - ZH AH0 N Z +CABO K AE0 - B OW1 +CABO(2) S IY1 - EY1 - B IY1 - OW1 +CABOK AE1 - B OW0 +CABOODLE K AH0 - B UW1 - D AH0 L +CABOOSE K AH0 - B UW1 S +CABOOSES K AH0 - B UW1 - S IH0 Z +CABOT K AE1 - B AH0 T +CABOT'S K AE1 - B AH0 T S +CABOTAGE K AE1 - B AH0 - T IH0 JH +CABRAL K AE1 - B R AH0 L +CABRALES K AA0 B - R AA1 - L EH0 S +CABRALL K AH0 - B R AA1 L +CABRALL'S K AH0 - B R AA1 L Z +CABRANES K AH0 - B R EY1 N Z +CABRERA K AA0 - B R EH1 - R AH0 +CABRINI K AH0 - B R IY1 - N IY0 +CABRINI'S K AH0 - B R IY1 - N IY0 Z +CABRIOLET K AE2 - B R IY0 - OW0 - L EY1 +CABRIOLET(2) K AE2 - B R IY0 - OW0 - L EH1 T +CABS K AE1 B Z +CAC K AE1 K +CAC'S K AE1 K S +CAC(2) S IY1 - EY1 - S IY1 +CACACE K AE1 - K AH0 S +CACACI K AH0 - K AA1 - S IY0 +CACAO K AH0 - K EY1 - OW0 +CACCAMISE K AA0 - K AA1 - M IH0 S +CACCAMO K AA0 - K AA1 - M OW0 +CACCAVALE K AA0 - K AH0 - V AA1 - L IY0 +CACCIA K AA1 - CH AH0 +CACCIATORE K AA0 - CH AH0 - T AO1 - R IY0 +CACCIOLA K AA0 K - CH OW1 - L AH0 +CACERES K AA0 - S EH1 - R EH0 S +CACHE K AE1 SH +CACHE(2) K AE0 - SH EY1 +CACHES K AE1 - SH IH0 Z +CACHES(2) K AE0 - SH EY1 Z +CACHET K AE1 - SH EY0 +CACHO K AE1 - CH OW0 +CACIOPPO K AA0 - CH OW1 - P OW0 +CACIQUE K AH0 - S IY1 K +CACKLE K AE1 - K AH0 L +CACKLING K AE1 - K AH0 - L IH0 NG +CACKLING(2) K AE1 - K L IH0 NG +CACLD K AE1 - K AH0 L D +CACLD(2) S IY1 - EY1 - S IY1 - EH1 L - D IY1 +CACOPHONY K AE0 - K AA1 - F AH0 - N IY0 +CACTI K AE1 K - T AY0 +CACTI(2) K AE1 K - T IY0 +CACTUS K AE1 K - T AH0 S +CAD K AE1 D +CADA K AA1 - D AH0 +CADAM K AE1 - D AH0 M +CADAVER K AH0 - D AE1 - V ER0 +CADAVERS K AH0 - D AE1 - V ER0 Z +CADBURY K AE1 D - B EH2 - R IY0 +CADBURY'S K AE1 D - B EH2 - R IY0 Z +CADBY K AE1 D - B IY0 +CADDELL K AE1 - D AH0 L +CADDEN K AE1 - D AH0 N +CADDICK K AE1 - D IH0 K +CADDIES K AE1 - D IY0 Z +CADDOCK K AE1 - D AH0 K +CADDY K AE1 - D IY0 +CADDYSHACK K AE1 - D IY0 - SH AE2 K +CADE K EY1 D +CADELL K AA0 - D EY1 L +CADENA K AH0 - D IY1 - N AH0 +CADENCE K EY1 - D AH0 N S +CADENCES K EY1 - D AH0 N - S IH0 Z +CADENHEAD K EY1 - D AH0 N - HH EH2 D +CADET K AH0 - D EH1 T +CADETS K AH0 - D EH1 T S +CADIEUX K AE1 - D IY0 - OW0 +CADILLAC K AE1 - D AH0 - L AE2 K +CADILLAC'S K AE1 - D AH0 - L AE2 K S +CADILLACS K AE1 - D AH0 - L AE2 K S +CADIZ K AH0 - D IY1 Z +CADLE K EY1 - D AH0 L +CADMAN K AE1 D - M AH0 N +CADMIUM K AE1 D - M IY0 - AH0 M +CADMUS K AE1 D - M AH0 S +CADNETIX K AE2 D - N EH1 - T IH0 K S +CADOGAN K AA0 - D OW0 - G AA1 N +CADORETTE K AE1 - D ER0 - EH0 T +CADOTTE K AH0 - D AO1 T +CADRE K AE1 - D R IY0 +CADRES K AE1 - D R IY0 Z +CADRONE K AH0 - D R OW1 N +CADRONE(2) K AH0 - D R OW1 - N IY0 +CADS K AE1 D S +CADWALADER K AE2 D - W AO1 - L AH0 - D ER0 +CADWALADER'S K AE2 D - W AO1 - L AH0 - D ER0 Z +CADWALLADER K AE2 D - W AO1 - L AH0 - D ER0 +CADWELL K AE1 D - W EH2 L +CADY K EY1 - D IY0 +CAEN K AE1 N +CAEN'S K AE1 N Z +CAEN'S(2) K AA1 N Z +CAEN(2) K AA1 N +CAESAR S IY1 - Z ER0 +CAESAR'S S IY1 - Z ER0 Z +CAESAREA K EY2 - S ER0 - IY1 - AH0 +CAESAREAN K EY1 - S ER0 - IY2 N +CAESAREANS K EY1 - S ER0 - IY2 N Z +CAESARS S IY1 - Z ER0 Z +CAESARS' S IY1 - Z ER0 Z +CAETANO K AH0 - T AA1 - N OW0 +CAFARELLA K AA0 - F AA0 - R EH1 - L AH0 +CAFARELLI K AA0 - F AA0 - R EH1 - L IY0 +CAFARO K AA0 - F AA1 - R OW0 +CAFE K AH0 - F EY1 +CAFE(2) K AE0 - F EY1 +CAFES K AE2 - F EY1 Z +CAFETERIA K AE2 - F AH0 - T IH1 - R IY0 - AH0 +CAFETERIAS K AE2 - F AH0 - T IH1 - R IY0 - AH0 Z +CAFETIZER K AE1 - F IH0 - T AY2 - Z ER0 +CAFFEE K AE1 - F IY0 +CAFFEINATE K AE1 - F IH0 - N EY2 T +CAFFEINATED K AE1 - F IH0 - N EY2 - T AH0 D +CAFFEINE K AE0 - F IY1 N +CAFFERTY K AE1 - F ER0 - T IY0 +CAFFERY K AE1 - F ER0 - IY0 +CAFFEY K AE1 - F IY0 +CAFFREY K AE1 - F R IY0 +CAFIERO K AE2 - F IY0 - EH1 - R OW0 +CAGAN K EY1 - G AH0 N +CAGE K EY1 JH +CAGE'S K EY1 - JH IH0 Z +CAGED K EY1 JH D +CAGES K EY1 - JH IH0 Z +CAGEY K EY1 - JH IY0 +CAGGIANO K AA0 - JH IY0 - AA1 - N OW0 +CAGLE K EY1 - G AH0 L +CAGLEY K AE1 G - L IY0 +CAGLIARI K AE2 G - L IY0 - AA1 - R IY0 +CAGNEY K AE1 G - N IY0 +CAGUAS K AA1 G - W AA2 S +CAHALAN K AE1 - HH AH0 - L AH0 N +CAHALL K AE1 - HH AH0 L +CAHAN K AE1 - HH AH0 N +CAHASA K AH0 - HH AA1 - S AH0 +CAHILL K EY1 - HH IH2 L +CAHN K AE1 N +CAHNERS K AA1 - N ER0 Z +CAHOON K AH0 - HH UW1 N +CAHOOT K AH0 - HH UW1 T +CAHOOTS K AH0 - HH UW1 T S +CAHORA K AH0 - HH AO1 - R AH0 +CAHOUET K AH0 - HH UW1 T +CAI K AY1 +CAIAZZO K AA0 - Y AA1 - Z OW0 +CAICEDO K AH0 - CH EY1 - D OW0 +CAIL K EY1 L +CAILLIER K EY1 - L IY0 - ER0 +CAILLOUET K EY2 - L UW1 T +CAIN K EY1 N +CAIN'S K EY1 N Z +CAINE K EY1 N +CAINES K EY1 N Z +CAIOLA K AY1 - OW0 - L AH0 +CAIRE K EH1 R +CAIRNES K EH1 R N Z +CAIRNS K EH1 R N Z +CAIRO K AY1 - R OW0 +CAIRO'S K AY1 - R OW0 Z +CAISON K EY1 - Z AH0 N +CAISSE K EY1 S +CAISSIE K EY1 - S IY0 +CAITLIN K EY1 T - L IH0 N +CAITO K EY1 - T OW0 +CAJOLE K AH0 - JH OW1 L +CAJOLED K AH0 - JH OW1 L D +CAJOLING K AH0 - JH OW1 - L IH0 NG +CAJUN K EY1 - JH AH0 N +CAJUNS K EY1 - JH AH0 N Z +CAKE K EY1 K +CAKE'S K EY1 K S +CAKED K EY1 K T +CAKES K EY1 K S +CAL K AE1 L +CALA K AA1 - L AH0 +CALABASAS K AE2 - L AH0 - B AA1 - S AH0 S +CALABRESE K AA0 - L AA0 - B R EY1 - Z IY0 +CALABRIA K AH0 - L AE1 - B R IY0 - AH0 +CALABRO K AH0 - L AE1 - B R OW0 +CALADIUMS K AH0 - L EY1 - D IY0 - AH0 M Z +CALAF K AE1 - L AH0 F +CALAHAN K AE1 - L AH0 - HH AE0 N +CALAIS K AH0 - L EY1 +CALAMANDER K AE1 - L AH0 - M AE2 N - D ER0 +CALAMARI K AA0 - L AA0 - M AA1 - R IY0 +CALAME K AA0 - L AA1 - M IY0 +CALAMIA K AH0 - L EY1 - M IY0 - AH0 +CALAMINE K AE1 - L AH0 - M AY2 N +CALAMINE'S K AE1 - L AH0 - M AY2 N Z +CALAMITIES K AH0 - L AE1 - M AH0 - T IY0 Z +CALAMITOUS K AH0 - L AE1 - M AH0 - T AH0 S +CALAMITY K AH0 - L AE1 - M AH0 - T IY0 +CALAMITY(2) K AH0 - L AE1 - M IH0 - T IY0 +CALAN K EY1 - L AH0 N +CALANDRA K AH0 - L AE1 N - D R AH0 +CALANDRO K AH0 - L AE1 N - D R OW0 +CALANTHA K AH0 - L AE1 N - TH AH0 +CALARCO K AH0 - L AA1 R - K OW0 +CALAVERAS K AE0 - L AH0 - V EH1 - R AH0 Z +CALAWAY K AA1 - L AH0 - W EY0 +CALBERT K AE1 L - B ER0 T +CALBOS K AA1 L - B OW0 S +CALCAGNI K AA0 L - K AA1 G - N IY0 +CALCAGNO K AA0 L - K AA1 G - N OW0 +CALCATERRA K AE2 L - K AH0 - T EH1 - R AH0 +CALCIFIED K AE1 L - S AH0 - F AY2 D +CALCIFY K AE1 L - S AH0 - F AY2 +CALCITE K AE1 L - S AY2 T +CALCIUM K AE1 L - S IY0 - AH0 M +CALCOMP K AO1 L - K AA2 M P +CALCOTE K AA0 L - K OW1 - T IY0 +CALCULATE K AE1 L - K Y AH0 - L EY2 T +CALCULATED K AE1 L - K Y AH0 - L EY2 - T AH0 D +CALCULATED(2) K AE1 L - K Y AH0 - L EY2 - T IH0 D +CALCULATES K AE1 L - K Y AH0 - L EY2 T S +CALCULATING K AE1 L - K Y AH0 - L EY2 - T IH0 NG +CALCULATION K AE2 L - K Y AH0 - L EY1 - SH AH0 N +CALCULATIONS K AE2 L - K Y AH0 - L EY1 - SH AH0 N Z +CALCULATOR K AE1 L - K Y AH0 - L EY2 - T ER0 +CALCULATORS K AE1 L - K Y AH0 - L EY2 - T ER0 Z +CALCULUS K AE1 L - K Y AH0 - L AH0 S +CALCUTT K AE1 L - K AH0 T +CALCUTTA K AE2 L - K AH1 - T AH0 +CALDEIRA K AA0 L - D EH1 - R AH0 +CALDER K AO1 L - D ER0 +CALDERA K AE2 L - D EH1 - R AH0 +CALDERA(2) K AO2 L - D EH1 - R AH0 +CALDERARO K AA0 L - D ER0 - AA1 - R OW0 +CALDERON K AO1 L - D ER0 - AA0 N +CALDERON(2) K AE2 L - D ER0 - OW1 N +CALDERONE K AA0 L - D ER0 - OW1 - N IY0 +CALDERWOOD K AO1 L - D ER0 - W UH0 D +CALDOR K AE1 L - D AO0 R +CALDRELLO K AA2 L - D R EH1 - L OW0 +CALDWELL K AO1 L D - W EH0 L +CALDWELL'S K AO1 L D - W EH0 L Z +CALE K EY1 L +CALEB K EY1 - L AH0 B +CALEBS K EY1 - L AH0 B Z +CALECA K AA0 - L EH1 - K AH0 +CALEDONIA K AE2 - L AH0 - D OW1 - N IY0 - AH0 +CALEDONIAN K AE2 - L IH0 - D OW1 - N IY0 - AH0 N +CALEDONIAN'S K AE2 - L IH0 - D OW1 - N IY0 - AH0 N Z +CALEF K AE1 - L IH0 F +CALEMBURG K AE1 - L AH0 M - B ER0 G +CALENDAR K AE1 - L AH0 N - D ER0 +CALENDARS K AE1 - L AH0 N - D ER0 Z +CALER K EY1 - L ER0 +CALERO K AH0 - L EH1 - R OW0 +CALES K EY1 L Z +CALEY K EY1 - L IY0 +CALF K AE1 F +CALF'S K AE1 F S +CALFED K AE1 F T +CALFED'S K AE1 L - F EH2 D Z +CALFED(2) K AE1 L - F EH2 D +CALFEE K AE1 L - F IY0 +CALGARY K AE1 L - G ER0 - IY0 +CALGENE K AE1 L - JH IY2 N +CALGENE'S K AE1 L - JH IY2 N Z +CALGON K AE1 L - G AO0 N +CALGROUP K AE1 L - G R UW2 P +CALHOON K AE0 L - HH UW1 N +CALHOUN K AE0 L - HH UW1 N +CALI K AA1 - L IY0 +CALI(2) K AE1 - L IY0 +CALIA K AA1 - L IY0 - AH0 +CALIBER K AE1 - L AH0 - B ER0 +CALIBRATE K AE1 - L AH0 - B R EY2 T +CALIBRATED K AE1 - L AH0 - B R EY2 - T AH0 D +CALIBRATION K AE2 - L AH0 - B R EY1 - SH AH0 N +CALICO K AE1 - L AH0 - K OW2 +CALIDA K AA0 - L IY1 - D AH0 +CALIENDO K AA0 - L IY0 - EH1 N - D OW0 +CALIF K AE2 - L AH0 - F AO1 R - N Y AH0 +CALIF(2) K AE1 - L IH0 F +CALIF. K AE0 - L IH0 - F AO1 R - N Y AH0 +CALIFANO K AA0 - L IY0 - F AA1 - N OW0 +CALIFF K AE1 - L IH0 F +CALIFORNIA K AE2 - L AH0 - F AO1 R - N Y AH0 +CALIFORNIA'S K AE2 - L IH0 - F AO1 R - N Y AH0 Z +CALIFORNIAN K AE2 - L IH0 - F AO1 R - N Y AH0 N +CALIFORNIAN'S K AE2 - L IH0 - F AO1 R - N Y AH0 N Z +CALIFORNIANS K AE2 - L IH0 - F AO1 R - N Y AH0 N Z +CALIGIURI K AE2 - L AH0 - JH IH1 - R IY0 +CALILL K AH0 - L IH1 L +CALILLS K AH0 - L IH1 L Z +CALIPER K AE1 - L AH0 - P ER0 +CALIPERS K AE1 - L AH0 - P ER0 Z +CALIPH K AE1 - L AH0 F +CALIRI K AA0 - L IH1 - R IY0 +CALISE K AA1 - L AY0 Z +CALISTA K AH0 - L IH1 - S T AH0 +CALISTHENIC K AE2 - L AH0 S - TH EH1 - N IH0 K +CALISTHENICS K AE2 - L AH0 S - TH EH1 - N IH0 K S +CALITE K AE1 - L AY2 T +CALITE(2) K EY1 - L AY2 T +CALIX K AE1 - L IH0 K S +CALIX(2) K EY1 - L AH0 K S +CALK K AO1 K +CALKIN K AE1 L - K IH0 N +CALKINS K AE1 L - K IH0 N Z +CALL K AO1 L +CALL'S K AO1 L Z +CALL'S(2) K AA1 L Z +CALLA K AE1 - L AH0 +CALLABLE K AO1 - L AH0 - B AH0 L +CALLACE K AE1 - L AH0 S +CALLAGHAN K AE1 - L AH0 - HH AE0 N +CALLAHAM K AE1 - L AH0 - HH AE2 M +CALLAHAN K AE1 - L AH0 - HH AE2 N +CALLAHAN'S K AE1 - L AH0 - HH AE2 N Z +CALLAIS K AH0 - L EY1 +CALLAN K AE1 - L AH0 N +CALLANAN K AE1 - L AH0 - N AH0 N +CALLAND K AE1 - L AH0 N D +CALLANDER K AE1 - L AH0 N - D ER0 +CALLARI K AA0 - L AA1 - R IY0 +CALLAS K AE1 - L AH0 Z +CALLAWAY K AE1 - L AH0 - W EY0 +CALLAWAY'S K AO1 L - AH0 - W EY2 Z +CALLE K EY1 L +CALLEBS K EY1 - L EH2 B Z +CALLED K AO1 L D +CALLEGARI K AA0 - L EH0 - G AA1 - R IY0 +CALLEJA K AA0 - L EY1 - Y AH0 +CALLEJAS K AA0 - L EY1 - Y AA0 Z +CALLEN K AE1 - L AH0 N +CALLENDER K AH0 - L EH1 N - D ER0 +CALLENS K AO1 - L AH0 N Z +CALLER K AO1 - L ER0 +CALLER'S K AO1 - L ER0 Z +CALLERS K AO1 - L ER0 Z +CALLERY K AE1 - L ER0 - IY0 +CALLES K EY1 L Z +CALLEY K AE1 - L IY0 +CALLICOAT K AE1 - L IH0 - K OW2 T +CALLICOTT K AE1 - L IH0 - K AA0 T +CALLICUTT K AE1 - L IH0 - K AH0 T +CALLIE K AO1 - L IY0 +CALLIER K AE1 - L IY0 - ER0 +CALLIES K AE1 - L IY0 Z +CALLIGAN K AE1 - L IH0 - G AH0 N +CALLIGRAPHIC K AE2 - L AH0 - G R AE1 - F IH0 K +CALLIGRAPHY K AH0 - L IH1 - G R AH0 - F IY0 +CALLIHAN K AE1 - L IH0 - HH AE0 N +CALLINAN K AE1 - L IH0 - N AH0 N +CALLING K AO1 - L IH0 NG +CALLIOPE K AH0 - L AY1 - AH0 - P IY2 +CALLIOPES K AH0 - L AY1 - AH0 - P IY2 Z +CALLIS K AE1 - L IH0 S +CALLISON K AE1 - L IH0 - S AH0 N +CALLISTER K AO1 - L IH0 - S T ER0 +CALLOUS K AE1 - L AH0 S +CALLOUSED K AE1 - L AH0 S T +CALLOUSLY K AE1 - L AH0 S - L IY0 +CALLOUSNESS K AE1 - L AH0 S - N AH0 S +CALLOW K AE1 - L OW0 +CALLOWAY K AE1 - L OW0 - W EY2 +CALLS K AO1 L Z +CALLULA K AE1 - L UW0 - L AH0 +CALLUM K AE1 - L AH0 M +CALLUS K AE1 - L AH0 S +CALLY K AE1 - L IY0 +CALM K AA1 M +CALM(2) K AA1 L M +CALMA K AA1 L - M AH0 +CALMAQUIP K AE1 L - M AH0 - K W IH2 P +CALMAR K AE1 L - M AA0 R +CALMARK K AA1 L - M AA2 R K +CALMART K AA1 L - M AA2 R T +CALMART'S K AA1 L - M AA2 R T S +CALMART'S(2) K AE1 L - M AA2 R T S +CALMART(2) K AE1 L - M AA2 R T +CALMAT K AE1 L - M AE0 T +CALMAT'S K AE1 L - M AE0 T S +CALMED K AA1 M D +CALMED(2) K AA1 L M D +CALMER K AA1 - M ER0 +CALMER(2) K AA1 L - M ER0 +CALMES K AA1 L - M EH0 S +CALMING K AA1 - M IH0 NG +CALMING(2) K AA1 L - M IH0 NG +CALMLY K AA1 M - L IY0 +CALMLY(2) K AA1 L M - L IY0 +CALMNESS K AA1 M - N AH0 S +CALMNESS(2) K AA1 L M - N AH0 S +CALMS K AA1 M Z +CALMS(2) K AA1 L M Z +CALNAN K AE1 L - N AH0 N +CALNY K AE1 L - N IY0 +CALO K AA1 - L OW0 +CALOGERO K AA0 - L OW0 - JH EH1 - R OW0 +CALOR K AE1 - L ER0 +CALORIC K AH0 - L AO1 - R IH0 K +CALORIE K AE1 - L ER0 - IY0 +CALORIES K AE1 - L ER0 - IY0 Z +CALOWAY K AE1 - L OW0 - W EY2 +CALPERS K AE1 L - P ER0 Z +CALPERS'S K AE1 L - P ER0 - Z IH0 Z +CALPIS K AE1 L - P IH0 S +CALTABIANO K AA0 L - T AA0 - B IY0 - AA1 - N OW0 +CALTAGIRONE K AA0 L - T AA0 - JH IH0 - R OW1 - N IY0 +CALTEX K AH1 L - T EH1 K S +CALTHA K AE1 L - DH AH0 +CALTON K AE1 L - T AH0 N +CALTRANS K AE1 L - T R AE2 N Z +CALUMET K AE2 - L Y AH0 - M EH1 T +CALUMNY K AE1 - L AH0 M - N IY0 +CALUTZI K AH0 - L UW1 T - Z IY0 +CALUZZI K AH0 - L UW1 - Z IY0 +CALVANI K AO2 L - V AA1 - N IY0 +CALVANO K AA0 L - V AA1 - N OW0 +CALVARIES K AE1 L - V ER0 - IY0 Z +CALVARY K AE1 L - V ER0 - IY0 +CALVERAS K AE0 L - V EH1 - R AH0 S +CALVERLEY K AE1 L - V ER0 - L IY0 +CALVERT K AE1 L - V ER0 T +CALVERY K AE1 L - V ER0 - IY0 +CALVES K AE1 V Z +CALVET K AE1 L - V AH0 T +CALVEY K AE0 L - V EY1 +CALVI K AA1 L - V IY0 +CALVILLO K AA0 L - V IH1 - L OW0 +CALVIN K AE1 L - V AH0 N +CALVIN'S K AE1 L - V AH0 N Z +CALVIN'S(2) K AE1 L - V IH0 N Z +CALVIN(2) K AE1 L - V IH0 N +CALVINA K AA0 L - V IY1 - N AH0 +CALVING K AE1 - V IH0 NG +CALVINIST K AE1 L - V AH0 - N AH0 S T +CALVINIST(2) K AE1 L - V IH0 - N IH0 S T +CALVINO K AO2 L - V IY1 - N OW0 +CALVO K AA1 L - V OW0 +CALYPSO K AH0 - L IH1 P - S OW2 +CALYPSOS K AH0 - L IH1 P - S OW2 Z +CALYX K AE1 - L IH0 K S +CALZADA K AA0 L - Z AA1 - D AH0 +CAM K AE1 M +CAM'S K AE1 M Z +CAMACHO K AH0 - M AA1 - CH OW0 +CAMAN K EY1 - M AH0 N +CAMARA K AA0 - M AA1 - R AH0 +CAMARADERIE K AA2 - M ER0 - AA1 - D ER0 - IY0 +CAMARATA K AA0 - M AA0 - R AA1 - T AH0 +CAMARENA K AA0 - M AA0 - R EH1 - N AH0 +CAMARENA(2) K AA2 - M ER0 - EY1 - N AH0 +CAMARGO K AA0 - M AA1 R - G OW0 +CAMARILLO K AA0 - M AA0 - R IH1 - L OW0 +CAMARO K AH0 - M EH1 - R OW0 +CAMAROS K AH0 - M AA1 - R OW0 S +CAMBELL K AE1 M - B AH0 L +CAMBER K AE1 M - B ER0 +CAMBEX K AE1 M - B AH0 K S +CAMBIOR K AE1 M - B IY0 - ER0 +CAMBODIA K AE2 M - B OW1 - D IY0 - AH0 +CAMBODIA'S K AE2 M - B OW1 - D IY0 - AH0 Z +CAMBODIAN K AE2 M - B OW1 - D IY0 - AH0 N +CAMBODIANS K AE2 M - B OW1 - D IY0 - AH0 N Z +CAMBRA K AE1 M - B R AH0 +CAMBRE K AE1 M - B ER0 +CAMBRIA K AE1 M - B R IY0 - AH0 +CAMBRIAN K AE1 M - B R IY0 - AH0 N +CAMBRIAN'S K AE1 M - B R IY0 - AH0 N Z +CAMBRIDGE K EY1 M - B R IH0 JH +CAMBRIDGEPORT K EY1 M - B R IH2 JH - P AO2 R T +CAMBRIDGESIDE K EY1 M - B R IH2 JH - S AY2 D +CAMBRON K AE1 M - B R AH0 N +CAMBURN K AE1 M - B ER2 N +CAMBY K AE1 M - B IY0 +CAMBY'S K AE1 M - B IY0 Z +CAMCO K AE1 M - K OW0 +CAMCORDER K AE1 M - K AO2 R - D ER0 +CAMCORDERS K AE1 M - K AO2 R - D ER0 Z +CAMDEN K AE1 M - D AH0 N +CAMDEN'S K AE1 M - D AH0 N Z +CAMDESSUS K AE0 M - D EH1 - S AH0 S +CAME K EY1 M +CAMECO K AE1 - M IH0 - K OW0 +CAMEJO K AA0 - M EY1 - Y OW0 +CAMEL K AE1 - M AH0 L +CAMEL'S K AE1 - M AH0 L Z +CAMELOT K AE1 - M AH0 - L AA2 T +CAMELS K AE1 - M AH0 L Z +CAMEO K AE1 - M IY0 - OW2 +CAMEOS K AE1 - M IY0 - OW2 Z +CAMERA K AE1 - M ER0 - AH0 +CAMERA'S K AE1 - M R AH0 Z +CAMERA(2) K AE1 - M R AH0 +CAMERAMAN K AE1 - M ER0 - AH0 - M AH0 N +CAMERAMEN K AE1 - M ER0 - AH0 - M EH0 N +CAMERAS K AE1 - M ER0 - AH0 Z +CAMERAS(2) K AE1 - M R AH0 Z +CAMERER K AE1 - M ER0 - ER0 +CAMERO K AH0 - M EH1 - R OW0 +CAMERON K AE1 - M ER0 - AH0 N +CAMERON'S K AE1 - M ER0 - AH0 N Z +CAMEROON K AE1 - M ER0 - UW2 N +CAMFIELD K AE1 M - F IY2 L D +CAMHI K AE1 M - HH IY0 +CAMILLA K AH0 - M IH1 - L AH0 +CAMILLE K AH0 - M IY1 L +CAMILLERI K AA0 - M IY0 - L EH1 - R IY0 +CAMILLI K AH0 - M IH1 - L IY0 +CAMILLO K AH0 - M IH1 - L OW0 +CAMINITI K AA0 - M IY0 - N IY1 - T IY0 +CAMINO K AH0 - M IY1 - N OW0 +CAMIRE K AA0 - M IH1 - R IY0 +CAMM K AE1 M +CAMMACK K AE1 - M AH0 K +CAMMARANO K AA0 - M AA0 - R AA1 - N OW0 +CAMMARATA K AA0 - M AA0 - R AA1 - T AH0 +CAMMAROTA K AA0 - M AA0 - R OW1 - T AH0 +CAMMER K AE1 - M ER0 +CAMMERMEYER K AE1 - M ER0 - M AY2 - ER0 +CAMMIE K AE1 - M IY0 +CAMMISA K AH0 - M IY1 - S AH0 +CAMMON K AE1 - M AH0 N +CAMMY K AE1 - M IY0 +CAMORRA K AH0 - M AO1 - R AH0 +CAMOUFLAGE K AE1 - M AH0 - F L AA2 ZH +CAMOUFLAGED K AE1 - M AH0 - F L AA2 ZH D +CAMOUFLAGING K AE1 - M AH0 - F L AA2 - ZH IH0 NG +CAMP K AE1 M P +CAMP'S K AE1 M P S +CAMPA K AE1 M - P AH0 +CAMPAIGN K AE0 M - P EY1 N +CAMPAIGN'S K AE0 M - P EY1 N Z +CAMPAIGNED K AE0 M - P EY1 N D +CAMPAIGNER K AE0 M - P EY1 - N ER0 +CAMPAIGNERS K AE0 M - P EY1 - N ER0 Z +CAMPAIGNING K AE0 M - P EY1 - N IH0 NG +CAMPAIGNS K AE0 M - P EY1 N Z +CAMPANA K AA0 M - P AE1 - N AH0 +CAMPANALE K AA0 M - P AA0 - N AA1 - L IY0 +CAMPANARO K AA0 M - P AA0 - N AA1 - R OW0 +CAMPANELLA K AE2 M - P AH0 - N EH1 - L AH0 +CAMPANELLI K AA0 M - P AA0 - N EH1 - L IY0 +CAMPANIS K AE2 M - P AA1 - N IH0 S +CAMPAU K AA1 M - P AW0 +CAMPBELL K AE1 M - B AH0 L +CAMPBELL'S K AE1 M - B AH0 L Z +CAMPBELLS K AE1 M - B AH0 L Z +CAMPEAU K AE0 M - P OW1 +CAMPEAU'S K AE0 M - P OW1 Z +CAMPED K AE1 M P T +CAMPEN K AE1 M - P AH0 N +CAMPER K AE1 M - P ER0 +CAMPERS K AE1 M - P ER0 Z +CAMPESINOS K AE2 M - P EH0 - S IY1 - N OW0 S +CAMPFIELD K AE1 M P - F IY2 L D +CAMPFIRE K AE1 M P - F AY2 - ER0 +CAMPFIRES K AE1 M P - F AY2 - ER0 Z +CAMPGROUND K AE1 M P - G R AW2 N D +CAMPGROUNDS K AE1 M P - G R AW2 N D Z +CAMPI K AE1 M - P IY0 +CAMPING K AE1 M - P IH0 NG +CAMPION K AE1 M - P IY0 - AH0 N +CAMPIONE K AA0 M - P IY0 - OW1 - N IY0 +CAMPISE K AA1 M - P AY0 Z +CAMPISI K AA0 M - P IY1 - S IY0 +CAMPO K AE1 M - P OW0 +CAMPOBASSO K AA0 M - P OW0 - B AA1 - S OW0 +CAMPOFRIO K AE2 M - P AO1 - F R IY0 - OW0 +CAMPOLI K AA0 M - P OW1 - L IY0 +CAMPOPIANO K AA0 M - P OW0 - P IY0 - AA1 - N OW0 +CAMPOS K AE1 M - P OW0 Z +CAMPS K AE1 M P S +CAMPS' K AE1 M P S +CAMPSITE K AE1 M P - S AY2 T S +CAMPSITES K AE1 M P - S AY2 T S +CAMPTON K AE1 M P - T AH0 N +CAMPUS K AE1 M - P AH0 S +CAMPUSES K AE1 M - P AH0 - S AH0 Z +CAMPUSES(2) K AE1 M - P AH0 - S IH0 Z +CAMPUZANO K AA0 M - P UW0 - Z AA1 - N OW0 +CAMPY K AE1 M - P IY0 +CAMRO K AE1 M - R OW0 +CAMRY K AE1 M - R IY0 +CAMRYS K AE1 - M R IY0 Z +CAMSHAFT K AE1 M - SH AE2 F T +CAMSHAFTS K AE1 M - SH AE2 F T S +CAMUS K AE1 - M IH0 S +CAMUSO K AA0 - M UW1 - S OW0 +CAN K AE1 N +CAN'S K AE1 N Z +CAN'T K AE1 N T +CAN(2) K AH0 N +CANA K AE1 - N AH0 +CANAAN K EY1 - N AH0 N +CANAANITE K EY1 - N AH0 - N AY2 T +CANACE K AA0 - N AA1 - CH IY0 +CANADA K AE1 - N AH0 - D AH0 +CANADA'S K AE1 - N AH0 - D AH0 Z +CANADAIR K AE2 - N AH0 - D EH1 R +CANADAY K AE1 - N AH0 - D EY2 +CANADIAN K AH0 - N EY1 - D IY0 - AH0 N +CANADIAN'S K AH0 - N EY1 - D IY0 - AH0 N Z +CANADIANS K AH0 - N EY1 - D IY0 - AH0 N Z +CANADIANS' K AH0 - N EY1 - D IY0 - AH0 N Z +CANADIENNE K AH0 - N AE1 - D IY0 - EH2 N +CANADY K AH0 - N AA1 - D IY0 +CANAL K AH0 - N AE1 L +CANAL'S K AH0 - N AE1 L Z +CANALE K AA0 - N AA1 - L IY0 +CANALES K AE1 - N AH0 L Z +CANALS K AH0 - N AE1 L Z +CANAM K AE1 - N AH0 M +CANAN K EY1 - N AH0 N +CANANDAIGUA K AE2 - N AH0 N - D EY1 - G W AH0 +CANANEA K AE2 - N AH0 - N IY1 - AH0 +CANARD K AH0 - N AA1 R D +CANARIES K AH0 - N EH1 - R IY0 Z +CANARY K AH0 - N EH1 - R IY0 +CANAS K AE1 - N AH0 Z +CANASTA K AH0 - N AE1 - S T AH0 +CANAVAN K AE1 - N AH0 - V AE2 N +CANAVERAL K AH0 - N AE1 - V ER0 - AH0 L +CANAVERAL(2) K AH0 - N AE1 - V R AH0 L +CANBERRA K AE2 N - B EH1 - R AH0 +CANBY K AE1 N - B IY0 +CANCAN K AE1 N - K AE2 N +CANCEL K AE1 N - S AH0 L +CANCELED K AE1 N - S AH0 L D +CANCELING K AE1 N - S AH0 - L IH0 NG +CANCELING(2) K AE1 N - S L IH0 NG +CANCELLATION K AE2 N - S AH0 - L EY1 - SH AH0 N +CANCELLATIONS K AE2 N - S AH0 - L EY1 - SH AH0 N Z +CANCELLED K AE1 N - S AH0 L D +CANCELLING K AE1 N - S AH0 - L IH0 NG +CANCELLING(2) K AE1 N - S L IH0 NG +CANCELS K AE1 N - S AH0 L Z +CANCER K AE1 N - S ER0 +CANCER'S K AE1 N - S ER0 Z +CANCEROUS K AE1 N - S ER0 - AH0 S +CANCERPHOBIA K AE2 N - S ER0 - F OW1 - B IY0 - AH0 +CANCERS K AE1 N - S ER0 Z +CANCHOLA K AA0 N - K OW1 - L AH0 +CANCIENNE K AA0 N - CH IY1 - EH0 N +CANCILLA K AA0 N - CH IH1 - L AH0 +CANCINO K AA0 N - CH IY1 - N OW0 +CANCIO K AE1 N - S IY0 - OW0 +CANCOM K AE1 NG - K AH0 M +CANCRO K AA1 N - K R OW0 +CANCUN K AE1 NG - K AH0 N +CANCUN(2) K AA2 NG - K UW1 N +CANDACE K AE1 N - D AH0 S +CANDEE K AE1 N - D IY1 +CANDELA K AE2 N - D EH1 - L AH0 +CANDELABRA K AE2 N - D AH0 - L AA1 - B R AH0 +CANDELARIA K AA0 N - D EH0 - L AA1 - R IY0 - AH0 +CANDELARIO K AA0 N - D EH0 - L AA1 - R IY0 - OW0 +CANDELLA K AA0 N - D EH1 - L AH0 +CANDELLIN K AE1 N - D AH0 - L IH0 N +CANDIA K AE1 N - D IY0 - AH0 +CANDICE K AE1 N - D IH0 S +CANDICE'S K AE1 N - D IH0 - S IH0 Z +CANDID K AE1 N - D AH0 D +CANDID(2) K AE1 N - D IH0 D +CANDIDA K AE1 N - D IH0 - D AH0 +CANDIDACIES K AE1 N - D AH0 - D AH0 - S IY0 Z +CANDIDACY K AE1 N - D IH0 - D AH0 - S IY0 +CANDIDATE K AE1 N - D AH0 - D EY0 T +CANDIDATE'S K AE1 N - D AH0 - D EY0 T S +CANDIDATE(2) K AE1 - N AH0 - D IH0 T +CANDIDATES K AE1 N - D AH0 - D EY0 T S +CANDIDATES' K AE1 N - D AH0 - D EY0 T S +CANDIDATES(2) K AE1 - N AH0 - D IH0 T S +CANDIDLY K AE1 N - D IH0 D - L IY0 +CANDIDO K AE0 N - D IY1 - D OW0 +CANDIE K AE1 N - D IY0 +CANDIED K AE1 N - D IY0 D +CANDIES K AE1 N - D IY0 Z +CANDILIN K AE1 N - D IH0 - L IH0 N +CANDIOTTI K AE2 N - D IY0 - AA1 - T IY0 +CANDIOTTI'S K AE2 N - D IY0 - AA1 - T IY0 Z +CANDLE K AE1 N - D AH0 L +CANDLELIGHT K AE1 N - D AH0 L - L AY2 T +CANDLEMAKER K AE1 N - D AH0 L - M EY2 - K ER0 +CANDLER K AE1 N - D AH0 - L ER0 +CANDLER(2) K AE1 N D - L ER0 +CANDLES K AE1 N - D AH0 L Z +CANDLESTICK K AE1 N - D AH0 L - S T IH2 K +CANDLESTICKS K AE1 N - D AH0 L - S T IH2 K S +CANDLISH K AE1 N D - L IH0 SH +CANDOR K AE1 N - D ER0 +CANDY K AE1 N - D IY0 +CANDY'S K AE1 N - D IY0 Z +CANDYMAN K AE1 N - D IY0 - M AE0 N +CANE K EY1 N +CANED K EY1 N D +CANEDO K AA0 - N EY1 - D OW0 +CANEDY K AH0 - N IY1 - D IY0 +CANELO K AH0 - N EH1 - L OW0 +CANEPA K AA0 - N EH1 - P AH0 +CANES K EY1 N Z +CANEVARI K AA0 - N EH0 - V AA1 - R IY0 +CANEZ K AA0 - N EH1 Z +CANFIELD K AE1 N - F IY2 L D +CANFOR K AE1 N - F ER0 +CANFOR'S K AE1 N - F ER0 Z +CANGELOSI K AA0 NG - G EH0 - L OW1 - S IY0 +CANGEMI K AA0 NG - G EH1 - M IY0 +CANGIALOSI K AA0 N - JH AH0 - L OW1 - S IY0 +CANGIANO K AA0 NG - G IY0 - AA1 - N OW0 +CANHAM K AE1 N - HH AH0 M +CANIDA K AA0 - N IY1 - D AH0 +CANIGLIA K AH0 - N IH1 G - L IY0 - AH0 +CANILLES K AH0 - N IH1 - L IY0 Z +CANIN K EY1 - N IH0 N +CANINE K EY1 - N AY2 N +CANINES K EY1 - N AY2 N Z +CANING K EY1 - N IH0 NG +CANINGS K EY1 - N IH0 NG Z +CANINO K AA0 - N IY1 - N OW0 +CANION K AE1 - N Y AH0 N +CANIPE K AA0 - N IY1 - P IY0 +CANISTER K AE1 - N AH0 - S T ER0 +CANISTER(2) K AE1 - N IH0 - S T ER0 +CANISTERS K AE1 - N AH0 - S T ER0 Z +CANISTERS(2) K AE1 - N IH0 - S T ER0 Z +CANKER K AE1 NG - K ER0 +CANKERS K AE1 NG - K ER0 Z +CANN K AE1 N +CANNABIS K AE1 - N AH0 - B AH0 S +CANNADAY K AE1 - N AH0 - D EY2 +CANNADY K AE1 - N AH0 - D IY0 +CANNAN K AE1 - N AH0 N +CANNATA K AA0 - N AA1 - T AH0 +CANNAVINO K AE2 - N AH0 - V IY1 - N OW0 +CANNAVO K AA0 - N AA1 - V OW0 +CANNED K AE1 N D +CANNEDY K AE1 - N IH0 - D IY0 +CANNELL K AE1 - N AH0 L +CANNELLA K AA0 - N EH1 - L AH0 +CANNELTON K AE1 - N AH0 L - T AH0 N +CANNER K AE1 - N ER0 +CANNERIES K AE1 - N ER0 - IY0 Z +CANNERY K AE1 - N ER0 - IY0 +CANNES K AE1 N Z +CANNES(2) K AE1 N +CANNEY K AE1 - N IY0 +CANNIBAL K AE1 - N AH0 - B AH0 L +CANNIBALISM K AE1 - N AH0 - B AH0 - L IH2 - Z AH0 M +CANNIBALIZATION K AE2 - N AH0 - B AH0 - L IH0 - Z EY1 - SH AH0 N +CANNIBALIZE K AE1 - N AH0 - B AH0 - L AY2 Z +CANNIBALIZING K AE1 - N AH0 - B AH0 - L AY2 - Z IH0 NG +CANNIBALS K AE1 - N AH0 - B AH0 L Z +CANNIFF K AE1 - N IH0 F +CANNING K AE1 - N IH0 NG +CANNISTER K AE1 - N IH0 - S T ER0 +CANNISTERS K AE1 - N IH0 - S T ER0 Z +CANNISTRARO K AE2 - N IH0 - S T R AA1 - R OW0 +CANNIZZARO K AA0 - N IY0 T - S AA1 - R OW0 +CANNIZZO K AA0 - N IY1 - Z OW0 +CANNON K AE1 - N AH0 N +CANNON'S K AE1 - N AH0 N Z +CANNONBALL K AE1 - N AH0 N - B AO2 L +CANNONDALE K AE1 - N AH0 N - D EY2 L +CANNONE K AA0 - N OW1 - N IY0 +CANNONS K AE1 - N AH0 N Z +CANNONSBURG K AE1 - N AH0 N Z - B ER0 G +CANNOT K AE1 - N AA0 T +CANNOT(2) K AH0 - N AA1 T +CANNY K AE1 - N IY0 +CANO K AA1 - N OW0 +CANOE K AH0 - N UW1 +CANOED K AH0 - N UW1 D +CANOEING K AH0 - N UW1 - IH0 NG +CANOEIST K AH0 - N UW1 - AH0 S T +CANOES K AH0 - N UW1 Z +CANOGA K AH0 - N OW1 - G AH0 +CANOLA K AH0 - N OW1 - L AH0 +CANON K AE1 - N AH0 N +CANON'S K AE1 - N AH0 N Z +CANONICO K AA0 - N OW0 - N IY1 - K OW0 +CANONIE K AE1 - N AH0 - N IY0 +CANONS K AE1 - N AH0 N Z +CANOPY K AE1 - N AH0 - P IY0 +CANOSA K AH0 - N OW1 - S AH0 +CANOVA K AA0 - N OW1 - V AH0 +CANOY K AE1 - N OY0 +CANRAD K AE1 N - R AE0 D +CANRON K AE1 N - R AH0 N +CANS K AE1 N Z +CANSECO K AE2 N - S EH1 - K OW0 +CANSLER K AE1 N - S AH0 - L ER0 +CANSLER(2) K AE1 N S - L ER0 +CANSO K AE1 N - S OW0 +CANSTAR K AE1 N - S T AA2 R +CANT K AE1 N T +CANTALOUPE K AE1 N - T AH0 - L OW2 P +CANTALOUPES K AE1 N - T AH0 - L OW2 P S +CANTALUPO K AE2 N - T AH0 - L UW1 - P OW0 +CANTANKEROUS K AE0 N - T AE1 NG - K ER0 - AH0 S +CANTARA K AA0 N - T AA1 - R AH0 +CANTATA K AE2 N - T AA1 - T AH0 +CANTEEN K AE0 N - T IY1 N +CANTEENS K AE0 N - T IY1 N Z +CANTEL K AE1 N - T EH2 L +CANTER K AE1 N - T ER0 +CANTERBURY K AE1 N - T ER0 - B EH2 - R IY0 +CANTERBURY'S K AE1 N - T ER0 - B EH2 - R IY0 Z +CANTERBURY'S(2) K AE1 - N ER0 - B EH2 - R IY0 Z +CANTERO K AA0 N - T EH1 - R OW0 +CANTERRA K AA2 N - T EH1 - R AH0 +CANTEY K AE1 N - T IY0 +CANTIN K AA0 N - T IY1 N +CANTINA K AE2 N - T IY1 - N AH0 +CANTLE K AE1 N - T AH0 L +CANTLEY K AE1 N T - L IY0 +CANTLIN K AE1 N T - L IH0 N +CANTLON K AE1 N T - L AH0 N +CANTO K AE1 N - T OW0 +CANTON K AE1 N - T AH0 N +CANTONAL K AE1 N - T AH0 - N AH0 L +CANTONE K AA0 N - T OW1 - N IY0 +CANTONESE K AE2 N - T AH0 - N IY1 Z +CANTONS K AE1 N - T AH0 N Z +CANTOR K AE1 N - T ER0 +CANTOR'S K AE1 N - T ER0 Z +CANTORE K AE1 N - T AO2 R +CANTRALL K AE1 N - T R AH0 L +CANTRELL K AE0 N - T R EH1 L +CANTRELLE K AH0 N - T R EH1 L +CANTU K AE1 N - T UW0 +CANTV K AE1 N - T IY1 - V IY1 +CANTWELL K AE1 N T - W EH2 L +CANTY K AE1 N - T IY0 +CANUP K AE1 - N AH2 P +CANUPP K AE1 - N AH0 P +CANVAS K AE1 N - V AH0 S +CANVASES K AE1 N - V AH0 - S IH0 Z +CANVASS K AE1 N - V AH0 S +CANVASSED K AE1 N - V AH0 S T +CANVASSERS K AE1 N - V AH0 - S ER0 Z +CANVASSES K AE1 N - V AH0 - S IH0 Z +CANVASSING K AE1 N - V AH0 - S IH0 NG +CANWEST K AE1 N - W EH2 S T +CANYON K AE1 - N Y AH0 N +CANYON'S K AE1 - N Y AH0 N Z +CANYONS K AE1 - N Y AH0 N Z +CANZANO K AA0 N - Z AA1 - N OW0 +CANZONERI K AA0 N - Z OW0 - N EH1 - R IY0 +CAO K AW1 +CAOUETTE K EY1 - UW1 T +CAP K AE1 P +CAP'S K AE1 P S +CAPABILITIES K EY2 - P AH0 - B IH1 - L AH0 - T IY0 Z +CAPABILITY K EY2 - P AH0 - B IH1 - L AH0 - T IY0 +CAPABLE K EY1 - P AH0 - B AH0 L +CAPACIOUS K AH0 - P EY1 - SH AH0 S +CAPACITANCE K AH0 - P AE1 - S AH0 - T AH0 N S +CAPACITIES K AH0 - P AE1 - S AH0 - T IY0 Z +CAPACITIES(2) K AH0 - P AE1 - S IH0 - T IY0 Z +CAPACITOR K AH0 - P AE1 - S AH0 - T ER0 +CAPACITORS K AH0 - P AE1 - S AH0 - T ER0 Z +CAPACITORS(2) K AH0 - P AE1 - S IH0 - T ER0 Z +CAPACITY K AH0 - P AE1 - S AH0 - T IY0 +CAPACITY(2) K AH0 - P AE1 - S IH0 - T IY0 +CAPALBO K AH0 - P AE1 L - B OW0 +CAPALDI K AA0 - P AA1 L - D IY0 +CAPALDO K AA0 - P AA1 L - D OW0 +CAPANO K AA0 - P AA1 - N OW0 +CAPASSO K AA0 - P AA1 - S OW0 +CAPCOM K AE1 P - K AH0 M +CAPE K EY1 P +CAPECE K AH0 - P IY1 S +CAPECI K AH0 - P EH1 - CH IY0 +CAPECI(2) K AH0 - P IY1 - CH IY0 +CAPED K EY1 P T +CAPEHART K EY1 P - HH AA2 R T +CAPEK K AE1 - P IH0 K +CAPEL K EY1 - P AH0 L +CAPEL'S K AE1 - P AH0 L Z +CAPELL K AA0 - P EY1 L +CAPELLA K AH0 - P EH1 - L AH0 +CAPELLE K AH0 - P EH1 L +CAPELLI K AH0 - P EH1 - L IY0 +CAPELLO K AH0 - P EH1 - L OW0 +CAPEN K EY1 - P AH0 N +CAPER K EY1 - P ER0 +CAPERS K EY1 - P ER0 Z +CAPERTON K EY1 - P ER0 - T AH0 N +CAPES K EY1 P S +CAPETILLO K AA0 - P EH0 - T IH1 - L OW0 +CAPETOWN K EY1 P - T AW2 N +CAPILLARIES K AE1 - P AH0 - L EH2 - R IY0 Z +CAPILLARY K AE1 - P AH0 - L EH2 - R IY0 +CAPISTRANO K AE2 - P IH0 - S T R AA1 - N OW0 +CAPITA K AE1 - P IH0 - T AH0 +CAPITAL K AE1 - P AH0 - T AH0 L +CAPITAL'S K AE1 - P IH0 - T AH0 L Z +CAPITAL(2) K AE1 - P IH0 - T AH0 L +CAPITALISM K AE1 - P IH0 - T AH0 - L IH2 - Z AH0 M +CAPITALISM'S K AE1 - P AH0 - T AH0 - L IH2 - Z AH0 M Z +CAPITALIST K AE1 - P AH0 - T AH0 - L AH0 S T +CAPITALISTIC K AE2 - P IH0 - T AH0 - L IH1 - S T IH0 K +CAPITALISTS K AE1 - P AH0 - T AH0 - L AH0 S T S +CAPITALISTS(2) K AE1 - P AH0 - T AH0 - L AH0 S S +CAPITALISTS(3) K AE1 - P AH0 - T AH0 - L AH0 S +CAPITALIZATION K AE2 - P IH0 - T AH0 - L IH0 - Z EY1 - SH AH0 N +CAPITALIZATIONS K AE2 - P IH0 - T AH0 - L IH0 - Z EY1 - SH AH0 N Z +CAPITALIZE K AE1 - P AH0 - T AH0 - L AY2 Z +CAPITALIZED K AE1 - P IH0 - T AH0 - L AY2 Z D +CAPITALIZES K AE1 - P AH0 - T AH0 - L AY2 - Z IH0 Z +CAPITALIZING K AE1 - P IH0 - T AH0 - L AY2 - Z IH0 NG +CAPITALS K AE1 - P AH0 - T AH0 L Z +CAPITALS(2) K AE1 - P IH0 - T AH0 L Z +CAPITAN K AE1 - P IH0 - T AH0 N +CAPITANO K AA0 - P IY0 - T AA1 - N OW0 +CAPITO K AA0 - P IY1 - T OW0 +CAPITOL K AE1 - P IH0 - T AH0 L +CAPITOL'S K AE1 - P IH0 - T AH0 L Z +CAPITOLINE K AE1 - P IH0 - T OW2 - L AY2 N +CAPITOLS K AE1 - P IH0 - T AH0 L Z +CAPITULATE K AH0 - P IH1 - CH UW0 - L IH0 T +CAPITULATE(2) K AH0 - P IH1 - CH UW0 - L EY0 T +CAPITULATED K AH0 - P IH1 - CH AH0 - L EY2 - T IH0 D +CAPITULATION K AH0 - P IH2 - CH AH0 - L EY1 - SH AH0 N +CAPIZZI K AA0 - P IY1 T - S IY0 +CAPLAN K AE1 P - L AH0 N +CAPLE K EY1 - P AH0 L +CAPLES K EY1 - P AH0 L Z +CAPLEY K AE1 P - L IY0 +CAPLIN K AE1 P - L IH0 N +CAPLINGER K EY1 - P AH0 L - IH0 - NG ER0 +CAPLINGER(2) K EY1 P - L IH0 - NG ER0 +CAPLINGER(3) K AE1 P - L IH0 N - JH ER0 +CAPO K AA1 - P OW0 +CAPOBIANCO K AA0 - P OW0 - B IY0 - AA1 N - K OW0 +CAPON K EY1 - P AA2 N +CAPONE K AH0 - P OW1 N +CAPONI K AA0 - P OW1 - N IY0 +CAPONIGRO K AA0 - P OW0 - N IY1 - G R OW0 +CAPORALE K AA0 - P AO0 - R AA1 - L IY0 +CAPORASO K AA0 - P AO0 - R AA1 - S OW0 +CAPOTE K AH0 - P OW1 T +CAPOTE'S K AH0 - P OW1 T S +CAPOTEN K AH0 - P OW1 - T AH0 N +CAPOZZI K AH0 - P AA1 - Z IY0 +CAPOZZOLI K AA0 - P OW0 T - S OW1 - L IY0 +CAPP K AE1 P +CAPPA K AE1 - P AH0 +CAPPADONA K AA0 - P AA0 - D OW1 - N AH0 +CAPPARELLI K AA0 - P AA0 - R EH1 - L IY0 +CAPPED K AE1 P T +CAPPEL K AE1 - P AH0 L +CAPPELLA K AA0 - P EH1 - L AH0 +CAPPELLETTI K AA0 - P EH0 - L EH1 - T IY0 +CAPPELLI K AA0 - P EH1 - L IY0 +CAPPELLO K AA0 - P EH1 - L OW0 +CAPPER K AE1 - P ER0 +CAPPETTA K AA0 - P EH1 - T AH0 +CAPPIELLO K AA0 - P IY0 - EH1 - L OW0 +CAPPING K AE1 - P IH0 NG +CAPPO K AE1 - P OW0 +CAPPS K AE1 P S +CAPPUCCINO K AE2 - P UW2 - CH IY1 - N OW0 +CAPPUCCIO K AA0 - P UW1 - CH IY0 - OW0 +CAPPY K AE1 - P IY0 +CAPPY'S K AE1 - P IY0 Z +CAPRA K AE1 - P R AH0 +CAPRARO K AA0 - P R AA1 - R OW0 +CAPRI K AE1 - P R IY0 +CAPRI'S K AE1 - P R IY0 Z +CAPRI'S(2) K AH0 - P R IY1 Z +CAPRI(2) K AH0 - P R IY1 +CAPRIATI K AE2 - P R IY0 - AA1 - T IY0 +CAPRIATI'S K AE2 - P R IY0 - AA1 - T IY0 Z +CAPRICE K AH0 - P R IY1 S +CAPRICIOUS K AH0 - P R IH1 - SH AH0 S +CAPRICIOUSLY K AH0 - P R IH1 - SH IH0 S - L IY0 +CAPRICORN K AE1 - P R AH0 - K AO0 R N +CAPRIO K AE1 - P R IY0 - OW0 +CAPRIOTTI K AA0 - P R IY0 - OW1 - T IY0 +CAPRON K AE1 - P R AH0 N +CAPS K AE1 P S +CAPSAICIN K AE2 P - S EY1 - S AH0 N +CAPSHAW K AE1 P - SH AO2 +CAPSIZE K AE1 P - S AY2 Z +CAPSIZED K AE1 P - S AY2 Z D +CAPSTAN K AE1 P - S T AH0 N +CAPSTICK K AE1 P - S T IH2 K +CAPSTONE K AE1 P - S T OW2 N +CAPSULE K AE1 P - S AH0 L +CAPSULES K AE1 P - S AH0 L Z +CAPTAIN K AE1 P - T AH0 N +CAPTAIN'S K AE1 P - T AH0 N Z +CAPTAINS K AE1 P - T AH0 N Z +CAPTION K AE1 P - SH AH0 N +CAPTIONED K AE1 P - SH AH0 N D +CAPTIONING K AE1 P - SH AH0 N - IH0 NG +CAPTIONS K AE1 P - SH AH0 N Z +CAPTIVATE K AE1 P - T IH0 - V EY2 T +CAPTIVATED K AE1 P - T IH0 - V EY2 - T IH0 D +CAPTIVATING K AE1 P - T IH0 - V EY2 - T IH0 NG +CAPTIVE K AE1 P - T IH0 V +CAPTIVES K AE1 P - T IH0 V Z +CAPTIVITY K AE0 P - T IH1 - V AH0 - T IY0 +CAPTOR K AE1 P - T ER0 +CAPTORS K AE1 P - T ER0 Z +CAPTURE K AE1 P - CH ER0 +CAPTURED K AE1 P - CH ER0 D +CAPTURES K AE1 P - CH ER0 Z +CAPTURING K AE1 P - CH ER0 - IH0 NG +CAPUA K AE1 - P Y UW0 - AH0 +CAPUANO K AA0 - P UW0 - AA1 - N OW0 +CAPUTI K AA0 - P UW1 - T IY0 +CAPUTO K AA0 - P UW1 - T OW0 +CAPWELL K AE1 P - W EH2 L +CAQ K AE1 K +CAQ'S K AE1 K S +CAR K AA1 R +CAR'S K AA1 R Z +CARA K EH1 - R AH0 +CARA'S K EH1 - R AH0 Z +CARA'VERAS K AA2 - R AH0 - V EH1 - R AH0 Z +CARABAJAL K ER0 - AE1 - B AH0 - JH AH0 L +CARABALLO K AE2 - R AH0 - B AE1 - L OW0 +CARABELLO K AE2 - R AH0 - B EH1 - L OW0 +CARACARA K AA2 - R AH0 - K AA1 - R AH0 +CARACAS K ER0 - AA1 - K AH0 S +CARACCI K AA0 - R AA1 - CH IY0 +CARACCIOLO K AA0 - R AA0 K - CH OW1 - L OW0 +CARADINE K AA0 - R AA0 - D IY1 - N IY0 +CARADONNA K AA0 - R AA0 - D OW1 - N AH0 +CARAFATE K EH1 - R AH0 - F EY2 T +CARAHER K AE1 - R AH0 - HH ER0 +CARAKER K AE1 - R AH0 - K ER0 +CARAMANDI K AE2 - R AH0 - M AA1 N - D IY0 +CARAMEL K EH1 - R AH0 - M AH0 L +CARAMELIZE K EH1 - R AH0 - M AH0 - L AY2 Z +CARAMELIZED K EH1 - R AH0 - M AH0 - L AY2 Z D +CARANGELO K AA0 - R AA0 NG - G EH1 - L OW0 +CARANO K AA0 - R AA1 - N OW0 +CARAS K AA1 - R AH0 Z +CARAT K EH1 - R AH0 T +CARATS K EH1 - R AH0 T S +CARAVA K AE1 - R AH0 - V AH0 +CARAVAN K AE1 - R AH0 - V AE2 N +CARAVAN(2) K EH1 - R AH0 - V AE2 N +CARAVANS K AE1 - R AH0 - V AE2 N Z +CARAVANS(2) K EH1 - R AH0 - V AE2 N Z +CARAVEL K EH1 - R AH0 - V EH2 L +CARAVELLA K AE2 - R AH0 - V EH1 - L AH0 +CARAVELLE K EH1 - R AH0 - V EH2 L +CARAVELLO K AE2 - R AH0 - V EH1 - L OW0 +CARAVEO K AA0 - R AA1 - V IY0 - OW0 +CARAWAN K AE1 - R AH0 - W AE0 N +CARAWAY K AE1 - R AH0 - W EY2 +CARAWAY(2) K EH1 - R AH0 - W EY2 +CARBAJAL K AA0 R - B AA0 - Y AE1 L +CARBALLO K AA0 R - B AA1 - L OW0 +CARBARY K AA1 R - B EH0 - R IY0 +CARBAUGH K AA1 R - B AO2 +CARBERRY K AA1 R - B EH2 - R IY0 +CARBERRY'S K AA1 R - B EH2 - R IY0 Z +CARBIDE K AA1 R - B AY2 D +CARBIDE'S K AA1 R - B AY2 D Z +CARBIN K AA1 R - B IH0 N +CARBINE K AA1 R - B AY2 N +CARBO K AA1 R - B OW0 +CARBOHYDRATE K AA2 R - B OW0 - HH AY1 - D R EY2 T +CARBOHYDRATE(2) K AA2 R - B OW0 - HH AY1 - D R AH0 T +CARBOHYDRATES K AA2 R - 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K AH0 S +CARCASSES K AA1 R - K AH0 - S IH0 Z +CARCINOGEN K AA0 R - S IH1 - N AH0 - JH AH0 N +CARCINOGENIC K AA2 R - S AH0 - N OW0 - JH EH1 - N IH0 K +CARCINOGENS K AA0 R - S IH1 - N AH0 - JH AH0 N Z +CARCINOMA K AA2 R - S AH0 - N OW1 - M AH0 +CARCIONE K AA0 R - CH OW1 - N IY0 +CARD K AA1 R D +CARD'S K AA1 R D Z +CARDA K AA1 R - D AH0 +CARDARELLI K AA0 R - D AA0 - R EH1 - L IY0 +CARDBOARD K AA1 R D - B AO2 R D +CARDBOARDS K AA1 R D - B AO2 R D Z +CARDED K AA1 R - D AH0 D +CARDED(2) K AA1 R - D IH0 D +CARDELL K AA0 R - D EY1 L +CARDELLA K AA2 R - D EH1 - L AH0 +CARDELLO K AA2 R - D EH1 - L OW0 +CARDEN K AA1 R - D AH0 N +CARDENAS K AA0 R - D IY1 - N AH0 S +CARDENAS'S K AA0 R - D IY1 - N AH0 - S IH0 Z +CARDER K AA1 R - D ER0 +CARDHOLDER K AA1 R D - HH OW2 L - D ER0 +CARDHOLDERS K AA1 R D - HH OW2 L - D ER0 Z +CARDIA K AA1 R - D IY0 - AH0 +CARDIAC K AA1 R - D IY0 - AE2 K +CARDIEL K AA1 R - D IY2 L +CARDIFF K AA1 R - D IH0 F +CARDIGAN K AA1 R - D IH0 - G AH0 N +CARDIGANS K AA1 R - D IH0 - G AH0 N Z +CARDIGES K AA1 R - D IH0 - JH IH0 Z +CARDILLO K AA2 R - D IH1 - L OW0 +CARDIN K AA1 R - D IH0 N +CARDINAL K AA1 R - D AH0 - N AH0 L +CARDINAL'S K AA1 R - D AH0 - N AH0 L Z +CARDINAL(2) K AA1 R - D IH0 - N AH0 L +CARDINALE K AA0 R - D IY0 - N AA1 - L IY0 +CARDINALI K AA0 R - D IY0 - N AA1 - L IY0 +CARDINALS K AA1 R - D AH0 - N AH0 L Z +CARDINALS' K AA1 R - D IH0 - N AH0 L Z +CARDIO K AA1 R - D IY0 - OW0 +CARDIOLOGIST K AA2 R - D IY0 - AA1 - L AH0 - JH IH0 S T +CARDIOLOGISTS K AA2 R - D IY0 - AA1 - L AH0 - JH IH0 S T S +CARDIOLOGISTS(2) K AA2 R - D IY0 - AA1 - L AH0 - JH IH0 S S +CARDIOLOGISTS(3) K AA2 R - D IY0 - AA1 - L AH0 - JH IH0 S +CARDIOLOGY K AA2 R - D IY0 - AA1 - L AH0 - JH IY0 +CARDIOPULMONARY K AA2 R - D IY0 - OW0 - P UH1 L - M AH0 - N EH2 - R IY0 +CARDIOVASCULAR K AA2 R - D IY0 - OW0 - V AE1 - S K Y AH0 - L ER0 +CARDIS K AA1 R - D IH0 S +CARDISS K AA1 R - D IH0 S +CARDIZEM K AA2 R - D IH0 - Z EH1 M +CARDOEN K AA1 R - D OW2 - AH0 N +CARDON K AA0 R - D AO1 N +CARDONA K AA0 R - D OW1 - N AH0 +CARDONE K AA0 R - D OW1 - N IY0 +CARDONI K AA0 R - D OW1 - N IY0 +CARDOON K AA0 R - D UW1 N +CARDOSA K AA0 R - D OW1 - S AH0 +CARDOSI K AA0 R - D OW1 - S IY0 +CARDOSO K AA0 R - D OW1 - S OW0 +CARDOSO'S K AA0 R - D OW1 - S OW0 Z +CARDOZA K AA0 R - D OW1 - Z AH0 +CARDOZO K AA0 R - D OW1 - Z OW0 +CARDS K AA1 R D Z +CARDS' K AA1 R D Z +CARDUCCI K AA0 R - D UW1 - CH IY0 +CARDWELL K AA1 R D - W EH2 L +CARDY K AA1 R - D IY0 +CARE K EH1 R +CARE'S K EH1 R Z +CARED K EH1 R D +CAREEN K ER0 - IY1 N +CAREENED K ER0 - IY1 N D +CAREENING K ER0 - IY1 - N IH0 NG +CAREENS K ER0 - IY1 N Z +CAREER K ER0 - IH1 R +CAREERCOM K ER0 - IH1 R - K AA0 M +CAREERISM K ER0 - IY1 - R IH0 - Z AH0 M +CAREERIST K ER0 - IH1 - R IH0 S T +CAREERISTS K ER0 - IH1 - R IH0 S T S +CAREERISTS(2) K ER0 - IH1 - R IH0 S S +CAREERISTS(3) K ER0 - IH1 - R IH0 S +CAREERS K ER0 - IH1 R Z +CAREFREE K EH1 R - F R IY2 +CAREFUL K EH1 R - F AH0 L +CAREFULLY K EH1 R - F AH0 - L IY0 +CAREGIVER K EH1 R - G IH2 - V ER0 +CAREGIVERS K EH1 R - G IH2 - V ER0 Z +CAREGIVING K EH1 R - 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G OW2 Z +CARHART K AA1 R - HH AA2 R T +CARIBBEAN K ER0 - IH1 - B IY0 - AH0 N +CARIBE K EH2 - R IY1 B +CARIBOU K EH1 - R IH0 - B UW2 +CARICATURE K EH1 - R AH0 - K AH0 - CH ER0 +CARICATURED K ER0 - IH1 - K AH0 - CH ER0 D +CARICATURES K ER0 - IH1 - K AH0 - CH ER0 Z +CARICATURIST K EH1 - R AH0 - K AH0 - CH ER0 - AH0 S T +CARICO K AA0 - R IY1 - K OW0 +CARICOM K EH1 - R IH0 - K AA2 M +CARICOM'S K EH1 - R IH0 - K AA2 M Z +CARIDI K AA0 - R IY1 - D IY0 +CARIE K EH1 - R IY0 +CARIELLO K AA0 - R IY0 - EH1 - L OW0 +CARIGNAN K AE1 - R IH0 G - N AH0 N +CARIKER K AE1 - R IH0 - K ER0 +CARILLA K AA0 - R IH1 - L AH0 +CARILLO K AA0 - R IH1 - L OW0 +CARILLON K EH1 - R AH0 L - AA2 N +CARIN K AE1 - R IH0 N +CARINE K AA0 - R IY1 - N IY0 +CARING K EH1 - R IH0 NG +CARINI K AA0 - R IY1 - N IY0 +CARINII K EH2 - R IY1 - N IY0 +CARINO K AA0 - R IY1 - N OW0 +CARIOCA K EH2 - R IY0 - OW1 - K AH0 +CARIS K AE1 - R IH0 S +CARISBROOK K EH1 - R IH0 S - B R UH2 K +CARISSA K AA0 - R IY1 - S AH0 +CARITA K AA0 - R IY1 - T AH0 +CARITHERS K AE1 - R IH0 - DH ER0 Z +CARJACK K AA1 R - JH AE2 K +CARJACKED K AA1 R - JH AE2 K T +CARJACKER K AA1 R - JH AE2 - K ER0 +CARJACKER'S K AA1 R - JH AE2 - K ER0 Z +CARJACKERS K AA1 R - JH AE2 - K ER0 Z +CARJACKING K AA1 R - JH AE2 - K IH0 NG +CARJACKINGS K AA1 R - JH AE2 - K IH0 NG Z +CARJACKS K AA1 R - JH AE2 K S +CARKHUFF K AA1 R K - HH AH0 F +CARL K AA1 R L +CARL'S K AA1 R L Z +CARLA K AA1 R - L AH0 +CARLA'S K AA1 R - L AH0 Z +CARLAN K AA1 R - L AH0 N +CARLAND K AA1 R - L AH0 N D +CARLBERG K AA1 R L - B ER0 G +CARLE K AA1 - R AH0 L +CARLEEN K AA0 R - L IY1 N +CARLEN K AA1 R - L AH0 N +CARLENE K AA1 R - L IY2 N +CARLES K AA1 R L Z +CARLETON K AA1 R L - T AH0 N +CARLEY K AA1 R - L IY0 +CARLI K AA1 R - L IY0 +CARLILE K AA1 R - L AY0 L +CARLIN K AA1 R - L IH0 N +CARLIN'S K AA1 R - L IH0 N Z +CARLINER K AA1 R - L AY2 - N ER0 +CARLING K AA1 R - L IH0 NG +CARLING'S K AA1 R - L IH0 NG Z +CARLINI K AA0 R - L IY1 - N IY0 +CARLINO K AA0 R - L IY1 - N OW0 +CARLISI K AA0 R - L IY1 - S IY0 +CARLISLE K AA1 R - L AY2 L +CARLITA K AA0 R - L IY1 - T AH0 +CARLITO K AA0 R - L IY1 - T OW0 +CARLITO'S K AA0 R - L IY1 - T OW0 Z +CARLL K AA1 R L +CARLO K AA1 R - L OW0 +CARLOAD K AA1 R - L OW2 D +CARLOADING K AA1 R - L OW2 - D IH0 NG +CARLOADINGS K AA1 R - L OW2 - D IH0 NG Z +CARLOADS K AA1 R - L OW2 D Z +CARLOCK K AA1 R - L AA2 K +CARLON K AA1 R - L AH0 N +CARLONE K AA0 R - L OW1 - N IY0 +CARLONI K AA0 R - L OW1 - N IY0 +CARLOS K AA1 R - L OW0 S +CARLOTTA K AA0 R - L AO1 - T AH0 +CARLOUGH K AA1 R - L OW0 +CARLOW K AA1 R - L OW2 +CARLS K AA1 R L Z +CARLSBAD K AA1 R L S - B AE0 D +CARLSBERG K AA1 R L Z - B ER0 G +CARLSEN K AA1 R L - S AH0 N +CARLSON K AA1 R L - S AH0 N +CARLSON'S K AA1 R L - S AH0 N Z +CARLSSON K AA1 R L - S AH0 N +CARLSTADT K AA1 R L - S T AE2 T +CARLSTON K AA1 R L - S T AH0 N +CARLSTROM K AA1 R L - S T R AH0 M +CARLTON K AA1 R L - T AH0 N +CARLTON'S K AA1 R L - T AH0 N Z +CARLUCCI K AA0 R - L UW1 - CH IY0 +CARLY K AA1 R - L IY0 +CARLYLE K AA1 R - L AY2 L +CARLYLE'S K AA0 R - L AY1 L Z +CARLYON K AA1 R - L IY0 - AA0 N +CARLZON K AA1 R L - Z AA0 N +CARMA K AA1 R - M AH0 +CARMACK K AA1 R - M AH0 K +CARMAKER K AA1 R - M EY2 - K ER0 +CARMAKER'S K AA1 R - M EY2 - K ER0 Z +CARMAKERS K AA1 R - M EY2 - K ER0 Z +CARMAKERS' K AA1 R - M EY2 - K ER0 Z +CARMAN K AA1 R - M AH0 N +CARMANY K AA1 R - M AH0 - N IY0 +CARMEAN K AA1 R - M IY0 - AH0 N +CARMEL K AA0 R - M EH1 L +CARMEL(2) K AA1 R - M AH0 L +CARMELA K AA0 R - M EH1 - L AH0 +CARMELITA K AA0 R - M AH0 - L IY1 - T AH0 +CARMELITE K AA1 R - M AH0 - L AY2 T +CARMELO K AA0 R - M EH1 - L OW0 +CARMEN K AA1 R - M AH0 N +CARMER K AA1 R - M ER0 +CARMICAL K AA1 R - M IH0 - K AH0 L +CARMICHAEL K AA1 R - M AY2 - K AH0 L +CARMICKLE K AA1 R - M IH0 - K AH0 L +CARMIE K AA1 R - M IY0 +CARMIKE K AA1 R - M AY2 K +CARMINE K AA1 R - M AH0 N +CARMITA K AA0 R - M IY1 - T AH0 +CARMODY K AA1 R - M AH0 - D IY0 +CARMON K AA1 R - M AH0 N +CARMONA K AA0 R - M OW1 - N AH0 +CARMONY K AA1 R - M OW0 - N IY0 +CARMOUCHE K AA0 R - M UW1 SH +CARMOY K AA1 R - M OY0 +CARMY K AA1 R - M IY0 +CARN K AA1 R N +CARNAGE K AA1 R - N IH0 JH +CARNAHAN K AA1 R - N AH0 - HH AE0 N +CARNAL K AA1 R - N AH0 L +CARNATHAN K AA1 R - N AH0 - TH AE0 N +CARNATION K AA0 R - N EY1 - SH AH0 N +CARNATIONS K AA0 R - N EY1 - SH AH0 N Z +CARNAUBA K AA0 R - N AO1 - B AH0 +CARNAUD K AA0 R - N AO1 B +CARNE K AA1 R N +CARNEAL K AA1 R - N AH0 L +CARNEGIE K AA1 R - N AH0 - G IY0 +CARNEGIE'S K AA1 R - N AH0 - G IY0 Z +CARNEGIE'S(2) K AA2 R - N EY1 - G IY0 Z +CARNEGIE(2) K AA2 R - N EY1 - G IY0 +CARNEGIES K AA1 R - N AH0 - G IY0 Z +CARNEGIES(2) K AA2 R - N EY1 - G IY0 Z +CARNEIRO K AA0 R - N EH1 - R OW0 +CARNELL K AA1 R - N AH0 L +CARNER K AA1 R - N ER0 +CARNES K AA1 R N Z +CARNETT K AA1 R - N AH0 T +CARNEVALE K AA0 R - N EY0 - V AA1 - L EY0 +CARNEY K AA1 R - N IY0 +CARNICERO K AA2 R - N IH0 - S EH1 - R OW0 +CARNINE K AA0 R - N IY1 - N IY0 +CARNIVAL K AA1 R - N AH0 - V AH0 L +CARNIVAL'S K AA1 R - N AH0 - V AH0 L Z +CARNIVALS K AA1 R - N AH0 - V AH0 L Z +CARNIVORE K AA1 R - N IH0 - V AO2 R +CARNIVORES K AA1 R - 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S OW1 - N IY0 +CASSONI'S K AH0 - S OW1 - N IY0 Z +CASSOWARY K AE1 - S AH0 - W EH2 - R IY0 +CASSTEVENS K AA0 - S T EY0 - V EY1 - AH0 N Z +CAST K AE1 S T +CASTA K AE1 - S T AH0 +CASTAGNA K AA0 - S T AA1 G - N AH0 +CASTAGNO K AA0 - S T AA1 G - N OW0 +CASTAGNOLA K AA0 - S T AA0 G - N OW1 - L AH0 +CASTALDI K AA0 - S T AA1 L - D IY0 +CASTALDO K AA0 - S T AA1 L - D OW0 +CASTANEDA K AA0 - S T AA0 - N EH1 - D AH0 +CASTANO K AA0 - S T AA1 - N OW0 +CASTANON K AE1 - S T AH0 - N AA0 N +CASTAWAY K AE1 S T - AH0 - W EY2 +CASTAWAYS K AE1 S T - AH0 - W EY2 Z +CASTE K AE1 S T +CASTEEL K EY1 - S T IY0 L +CASTEEN K AH0 - S T IY1 N +CASTEL K EY1 - S T AH0 L +CASTELL K EY1 - S T AH0 L +CASTELLANA K AA0 - S T EH0 - L AE1 - N AH0 +CASTELLANI K AA0 - S T EH0 - L AA1 - N IY0 +CASTELLANO K AA0 - S T EH0 - L AA1 - N OW0 +CASTELLANOS K AA0 - S T EY0 - L AA1 - N OW0 Z +CASTELLAW K EY1 - S T IH0 - L AO0 +CASTELLI K AA0 - S T EH1 - L IY0 +CASTELLO K AH0 - S T EH1 - L OW0 +CASTELLON K EY1 - S T IH0 - L AA0 N +CASTELLUCCI K AA0 - S T EH0 - L UW1 - CH IY0 +CASTELLUCCIO K AA0 - S T EH0 - L UW1 - CH IY0 - OW0 +CASTELLVI K AH0 - S T EH1 L - V IY0 +CASTELO K AA0 - S T EH1 - L OW0 +CASTEN K AE1 - S T AH0 N +CASTER K AE1 - S T ER0 +CASTERLINE K AE1 - S T ER0 - L AY2 N +CASTERS K AE1 - S T ER0 Z +CASTES K AE1 S T S +CASTIGATE K AE1 - S T AH0 - G EY2 T +CASTIGATED K AE1 - S T AH0 - G EY2 - T IH0 D +CASTIGATING K AE1 - S T AH0 - G EY2 - T IH0 NG +CASTIGLIA K AA0 - S T IY1 G - L IY0 - AH0 +CASTIGLIONE K AA0 - S T IY0 - G L IY0 - OW1 - N IY0 +CASTILLA K AA0 - S T IH1 - L AH0 +CASTILLE K AE1 - S T IH0 L +CASTILLEJA K AA0 - S T IY0 - L EY1 - Y AH0 +CASTILLO K AE2 - S T IY1 - OW0 +CASTILLO(2) K AE2 - S T IH1 - L OW0 +CASTILLON K AE1 - S T IH0 - L AA0 N +CASTINE K AA0 - S T IY1 - N IY0 +CASTING K AE1 - S T IH0 NG +CASTINGS K AE1 - S T IH0 NG Z +CASTLE K AE1 - S AH0 L +CASTLE'S K AE1 - S AH0 L Z +CASTLEBERRY K AE1 - S AH0 L - B EH2 - R IY0 +CASTLEMAN K AE1 - S AH0 L - M AH0 N +CASTLES K AE1 - S AH0 L Z +CASTNER K AE1 S T - N ER0 +CASTO K AE1 - S T OW0 +CASTOFF K AE1 S T - AO2 F +CASTOFFS K AE1 S T - AO2 F S +CASTON K AE1 - S T AH0 N +CASTONGUAY K AH0 - S T AA1 NG - G EY0 +CASTOR K AE1 - S T ER0 +CASTORENA K AA1 - S T AO0 R - N AH0 +CASTORO K AA0 - S T AO1 - R OW0 +CASTPART K AE1 S T - P AA2 R T +CASTPARTS K AE1 S T - P AA2 R T S +CASTRATE K AE1 - S T R EY2 T +CASTRATED K AE1 - S T R EY2 - T IH0 D +CASTRATES K AE1 - S T R EY2 T S +CASTRATING K AE1 - S T R EY2 - T IH0 NG +CASTRATION K AE2 S - T R EY1 - SH AH0 N +CASTRATIONS K AE2 S - T R EY1 - SH AH0 N Z +CASTREJON K AE1 - S T R IH0 - JH AA0 N +CASTRILLON K AH0 S - T R IH1 - L Y AH0 N +CASTRO K AE1 - S T R OW0 +CASTRO'S K AE1 S - T R OW0 Z +CASTROL K AE1 - S T R AA0 L +CASTRONOVA K AE0 S T - R OW0 - N OW1 - V AH0 +CASTRONOVO K AE0 S T - R OW0 - N OW1 - V OW0 +CASTRUCCI K AH0 S - T R UW1 - CH IY0 +CASTRUITA K AA0 S - T R UW1 - T AH0 +CASTS K AE1 S T S +CASUAL K AE1 - ZH AH0 - W AH0 L +CASUAL(2) K AE1 - ZH W AH0 L +CASUALLY K AE1 - ZH AH0 W - AH0 - L IY0 +CASUALLY(2) K AE1 - ZH W AH0 - 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Z AH0 Z +CAUSES(2) K AO1 - Z IH0 Z +CAUSEWAY K AA1 Z - W EY2 +CAUSEWAY(2) K AO1 Z - W EY2 +CAUSEWAYS K AO1 Z - W EY2 Z +CAUSEY K AO1 - Z IY0 +CAUSING K AA1 - Z IH0 NG +CAUSING(2) K AO1 - Z IH0 NG +CAUSTIC K AA1 - S T IH0 K +CAUSTIC(2) K AO1 - S T IH0 K +CAUTHEN K AO1 - TH AH0 N +CAUTHON K AO1 - TH AH0 N +CAUTHORN K AO1 - TH ER0 N +CAUTION K AA1 - SH AH0 N +CAUTION(2) K AO1 - SH AH0 N +CAUTIONARY K AO1 - SH AH0 N - EH2 - R IY0 +CAUTIONED K AA1 - SH AH0 N D +CAUTIONED(2) K AO1 - SH AH0 N D +CAUTIONING K AO1 - SH AH0 N - IH0 NG +CAUTIONS K AO1 - SH AH0 N Z +CAUTIOUS K AO1 - SH AH0 S +CAUTIOUSLY K AO1 - SH AH0 S - L IY0 +CAUTIOUSNESS K AO1 - SH AH0 S - N AH0 S +CAVA K AA1 - V AH0 +CAVACO K AE1 - V AH0 - K OW0 +CAVACO(2) K AH0 - V AA1 - K OW0 +CAVAGNARO K AA0 - V AA0 G - N AA1 - R OW0 +CAVALCADE K AE1 - V AH0 L - K EY2 D +CAVALIER K AE2 - V AH0 - L IH1 R +CAVALIERE K AA0 - V AA0 - L IH1 - R IY0 +CAVALIERI K AA0 - V AA0 - L IH1 - R IY0 +CAVALIERLY K AE2 - V AH0 - L IH1 R - L IY0 +CAVALIERS K AE2 - 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V IH0 T +CAVEY K EY1 - V IY0 +CAVIAR K AE1 - V IY0 - AA2 R +CAVIN K AE1 - V IH0 N +CAVINESS K EY1 - V IY0 - N IH0 S +CAVING K EY1 - V IH0 NG +CAVINS K AE1 - V IH0 N Z +CAVITIES K AE1 - V IH0 - T IY0 Z +CAVITT K AE1 - V IH0 T +CAVITY K AE1 - V AH0 - T IY0 +CAVNESS K AE1 V - N IH0 S +CAVORT K AH0 - V AO1 R T +CAVORTING K AH0 - V AO1 R - T IH0 NG +CAW K AO1 +CAWLEY K AO1 - L IY0 +CAWOOD K AA1 - W UH0 D +CAWSL K AO1 - S AH0 L +CAWTHON K AO1 - TH AH0 N +CAWTHORN K AO1 - TH ER0 N +CAWTHORNE K AO1 - TH ER0 N +CAXTON K AE1 K - S T AH0 N +CAY K EY1 +CAYA K EY1 - AH0 +CAYCE K EY1 S +CAYENNE K AY2 - EH1 N +CAYENNE(2) K EY2 - EH1 N +CAYER K EY1 - ER0 +CAYES K EY1 Z +CAYLIN K EY1 - L IH0 N +CAYLOR K EY1 - L ER0 +CAYMAN K EY1 - M AH0 N +CAYMANS K EY1 - M AH0 N Z +CAYNE K EY1 N +CAYSON K EY1 - S AH0 N +CAYTON K EY1 - T AH0 N +CAYUSES K AY1 - UW2 - S AH0 Z +CAYWOOD K EY1 - W UH2 D +CAZARES K AA0 - Z AA1 - R EH0 S +CAZENOVE K AE1 - Z AH0 - N OW2 V +CAZIER K EY1 - Z IY0 - ER0 +CC S IY1 - S IY1 +CCS S IY1 - S IY1 - EH1 S +CCS(2) S IY1 - S IY1 Z +CD S IY1 - D IY1 +CDEBACA S IY0 - D IH0 - B AA1 - K AH0 +CDROM S IY1 - D IY1 - R AA1 M +CDROMS S IY1 - D IY1 - R AA1 M Z +CDS S IY1 - D IY1 Z +CEA S IY1 - IY1 - EY1 +CEA(2) S IY1 - AH0 +CEARA S IY1 - R AH0 +CEARLEY S ER1 - L IY0 +CEASAR S AH0 - S AA1 R +CEASE S IY1 S +CEASE-FIRE S IY1 S - F AY1 - ER0 +CEASED S IY1 S T +CEASEFIRE S IY1 S - F AY1 - ER0 +CEASEFIRES S IY1 S - F AY1 - ER0 Z +CEASELESS S IY1 S - L IH0 S +CEASELESSLY S IY1 Z - L AH0 S - L IY0 +CEASER S IY1 - S ER0 +CEASES S IY1 - S IH0 Z +CEASING S IY1 - S IH0 NG +CEAUCESCU CH AW0 - CH EH1 - S K Y UW0 +CEAUSESCU CH AW0 - CH EH1 - S K Y UW0 +CEAUSESCU'S CH AW0 - CH EH1 - S K Y UW0 Z +CEBALLOS S EY0 - B AA1 - L OW0 Z +CEBU S IY0 - B UW1 +CEBU'S S IY0 - B UW1 Z +CEBULA CH EH0 - B UW1 - L AH0 +CEBULSKI CH IH0 - B AH1 L - S K IY0 +CECALA CH EH0 - K AA1 - L AH0 +CECCARELLI CH EH0 - K ER0 - EH1 - L IY0 +CECCHI S EH1 - K IY0 +CECCHINI CH EH0 - K IY1 - N IY0 +CECCONI CH EH0 - K OW1 - N IY0 +CECE S IY1 S +CECELIA S IH0 - S IY1 - L Y AH0 +CECERE CH EH0 - CH EH1 - R IY0 +CECH S EH1 K +CECI S EH1 - S IY0 +CECIL S IY1 - S AH0 L +CECIL'S S IY1 - S AH0 L Z +CECILE S IH0 - S IY1 L +CECILIA S IH0 - S IY1 - L Y AH0 +CECIN S EH1 - S IH0 N +CECO S IY1 - K OW0 +CECOLA S EH0 - K OW1 - L AH0 +CECOS S IY1 - K OW0 S +CEDAR S IY1 - D ER0 +CEDARS S IY1 - D ER0 Z +CEDE S IY1 D +CEDED S IY1 - D AH0 D +CEDED(2) S IY1 - D IH0 D +CEDENO CH EH0 - D EH1 - N OW0 +CEDER S IY1 - D ER0 +CEDERBERG S IY1 - D ER0 - B ER0 G +CEDERGREN S IY1 - D ER0 - G R EH0 N +CEDERHOLM S IY1 - D ER0 - HH OW0 M +CEDERQUIST S EH1 - D ER0 - K W IH0 S T +CEDERQUIST(2) S IY1 - D ER0 - K W IH0 S T +CEDES S IY1 D Z +CEDILLO CH EH0 - D IH1 - L OW0 +CEDING S IY1 - D IH0 NG +CEDRAS S EY1 - D R AA2 S +CEDRAS' S EY1 - D R AA2 S +CEDRAS'(2) S EY1 - D R AH0 S +CEDRAS'S S EY1 - D R AA2 - S IH0 S +CEDRAS'S(2) S EY1 - D R AH0 - S IH0 S +CEDRAS(2) S EY1 - D R AH0 S +CEDRIC S EH1 D - R IH0 K +CEDRIC(2) S IY1 - D R IH0 K +CEDRONE S EY0 - D R OW1 - N EY0 +CEES S IY1 Z +CEFALO CH EH0 - F AA1 - L OW0 +CEFALU CH EH0 - F AA1 - L UW0 +CEGIELSKI CH IH0 - G IY1 L S - K IY0 +CEILING S IY1 - L IH0 NG +CEILINGS S IY1 - L IH0 NG Z +CEJA S EY1 - Y AH0 +CEJKA CH EY1 - K AH0 +CEL S EH1 L +CEL(2) S IY1 - IY1 - EH1 L +CELA S EH1 - L AH0 +CELADON S EH1 - L AH0 - D AA2 N +CELANDINE S EH1 - L AH0 N - D AY2 N +CELANESE S EH1 - L AH0 - N IY2 Z +CELANI CH EH0 - L AA1 - N IY0 +CELANO CH EH0 - L AA1 - N OW0 +CELAYA S EY0 - L EY1 - AH0 +CELE S IY1 L +CELEBRANT S EH1 - L AH0 - B R AH0 N T +CELEBRANTS S EH1 - L AH0 - B R AH0 N T S +CELEBRATE S EH1 - L AH0 - B R EY2 T +CELEBRATED S EH1 - L AH0 - B R EY2 - T AH0 D +CELEBRATED(2) S EH1 - L AH0 - B R EY2 - T IH0 D +CELEBRATES S EH1 - L AH0 - B R EY2 T S +CELEBRATING S EH1 - L AH0 - B R EY2 - T IH0 NG +CELEBRATION S EH2 - L AH0 - B R EY1 - SH AH0 N +CELEBRATIONS S EH2 - L AH0 - B R EY1 - SH AH0 N Z +CELEBRATORY S AH0 - L EH1 - B R AH0 - T AO2 - R IY0 +CELEBRE S EH1 - L AH0 - B R AH0 +CELEBRITIES S AH0 - L EH1 - B R IH0 - T IY0 Z +CELEBRITY S AH0 - L EH1 - B R IH0 - T IY0 +CELENA CH EH0 - L EH1 - N AH0 +CELENE CH EH1 - L IY0 N +CELENTANO CH EH0 - L EH0 N - T AA1 - N OW0 +CELERON S EH1 - L ER0 - AA0 N +CELERY S EH1 - L ER0 - IY0 +CELESTA S IH0 - L EH1 - S T AH0 +CELESTE S AH0 - L EH1 S T +CELESTIAL S AH0 - L EH1 - S CH AH0 L +CELESTIN S EH1 - L IH0 - S T IH0 N +CELESTINA CH EH0 - L EH0 - S T IY1 - N AH0 +CELESTINE CH EH0 - L EH0 - S T IY1 - N IY0 +CELESTINO CH EH0 - L EH0 - S T IY1 - N OW0 +CELIA S IY1 - L Y AH0 +CELIBACY S EH1 - L AH0 - B AH0 - S IY0 +CELIBATE S EH1 - L IH0 - B AH0 T +CELICA S EH1 - L IH0 - K AH0 +CELIE S EH1 - L IY0 +CELIMENE S EH1 - L IH0 - M IY2 N +CELINA S AH0 - L IY1 - N AH0 +CELINDA CH EH0 - L IY1 N - D AH0 +CELINE S AH0 - L IY1 N +CELIO S IY1 - L IY0 - OW0 +CELIS S EH1 - L IH0 S +CELL S EH1 L +CELL'S S EH1 L Z +CELLA S EH1 - L AH0 +CELLAR S EH1 - L ER0 +CELLARS S EH1 - L ER0 Z +CELLED S EH1 L D +CELLI CH EH1 - L IY0 +CELLINI CH EH0 - L IY1 - N IY0 +CELLIO CH EH1 - L IY0 - OW0 +CELLIST CH EH1 - L AH0 S T +CELLMARK S EH1 L - M AA2 R K +CELLMARK'S S EH1 L - M AA2 R K S +CELLNET S EH1 L - N EH2 T +CELLO CH EH1 - L OW0 +CELLOPHANE S EH1 - L AH0 - F EY2 N +CELLPHONE S EH1 L - F OW0 N +CELLPRO S EH1 L - P R OW0 +CELLS S EH1 L Z +CELLS' S EH1 L Z +CELLSTAR S EH1 L - S T AA2 R +CELLUCCI CH EH0 - L UW1 - CH IY0 +CELLULAR S EH1 L - Y AH0 - L ER0 +CELLULAR'S S EH1 L - Y AH0 - L ER0 Z +CELLULOID S EH1 L - AH0 - L OY2 D +CELLULOSA S EH2 - L UW0 - L OW1 - S AH0 +CELLULOSE S EH1 L - Y AH0 - L OW2 S +CELMER S EH1 L - M ER0 +CELNIK S EH1 L - N IH0 K +CELO S EH1 - L OW0 +CELO(2) S IY1 - L OW0 +CELO(3) S IY1 - IY1 - EH1 - L OW1 +CELONA CH EH0 - L OW1 - N AH0 +CELOSIA CH EH0 - L OW1 - S IY0 - AH0 +CELS S EH1 L Z +CELSIUS S EH1 L - S IY0 - AH0 S +CELSO S EH1 L - S OW0 +CELT S EH1 L T +CELT(2) K EH1 L T +CELTIC S EH1 L - T IH0 K +CELTIC(2) K EH1 L - T IH0 K +CELTICS S EH1 L - T IH0 K S +CELTICS' S EH1 L - T IH2 K S +CELTS S EH1 L T S +CELTS(2) K EH1 L T S +CEMENT S AH0 - M EH1 N T +CEMENT(2) S IH0 - M EH1 N T +CEMENTED S AH0 - M EH1 N - T AH0 D +CEMENTED(2) S IH0 - M EH1 N - T IH0 D +CEMENTING S IH0 - M EH1 N - T IH0 NG +CEMENTOS S EH0 - M EH1 N - T OW0 S +CEMETERIES S EH1 - M AH0 - T EH2 - R IY0 Z +CEMETERY S EH1 - M AH0 - T EH2 - R IY0 +CEMETERY(2) S EH1 - M IH0 - T EH2 - R IY0 +CEMEX K EH1 - M EH2 K S +CEMP S EH1 M P +CENCALL S EH1 N - S EH2 L +CENCI CH EH1 N - CH IY0 +CENCOR S EH1 N - K AO2 R +CENDEJAS S EY0 N - D EY1 - Y AA0 Z +CENERGY S EH1 - N ER0 - JH IY0 +CENICEROS S EY0 - N IY0 - S EH1 - R OW0 Z +CENITH S EH1 - N IH0 TH +CENITH'S S EH1 - N IH0 TH S +CENOZOIC S IY2 - N AH0 - Z OW1 - IH0 K +CENSER S EH1 N - S ER0 +CENSOR S EH1 N - S ER0 +CENSORED S EH1 N - S ER0 D +CENSORING S EH1 N - S ER0 - IH0 NG +CENSORS S EH1 N - S ER0 Z +CENSORSHIP S EH1 N - S ER0 - SH IH2 P +CENSURE S EH1 N - SH ER0 +CENSURED S EH1 N - SH ER0 D +CENSUS S EH1 N - S AH0 S +CENSUSES S EH1 N - S AH0 - S IH0 Z +CENT S EH1 N T +CENTANNI CH EH0 N - T AA1 - N IY0 +CENTANNI(2) S EH0 N - T AA1 - N IY0 +CENTAUR S EH1 N - T AO2 R +CENTAUR'S S EH1 N - T AO2 R Z +CENTAURS S EH1 N - T AO2 R Z +CENTAVOS S EH0 N - T AA1 - V OW2 S +CENTEL S EH1 N - T EH2 L +CENTEL'S S EH1 N - T EH2 L Z +CENTENARIAN S EH2 N - T AH0 - N EH1 - R IY0 - AH0 N +CENTENARIANS S EH2 N - T AH0 - N EH1 - R IY0 - AH0 N Z +CENTENARY S EH1 N - T AH0 - N EH2 - R IY0 +CENTENNIAL S EH0 N - T EH1 - N IY0 - AH0 L +CENTENNIAL'S S EH0 N - T EH1 - N IY0 - AH0 L Z +CENTENO CH EH0 N - T EH1 - N OW0 +CENTENO(2) S EH0 N - T EH1 - N OW0 +CENTER S EH1 N - T ER0 +CENTER'S S EH1 N - T ER0 Z +CENTER'S(2) S EH1 - N ER0 Z +CENTER(2) S EH1 - N ER0 +CENTERBANC S EH1 N - T ER0 - B AE0 NG K +CENTERBANK S EH1 N - T ER0 - B AE2 NG K +CENTERED S EH1 N - T ER0 D +CENTERFIELDER S EH1 N - T ER0 - F IY2 L - D ER0 +CENTERFOLD S EH1 N - T ER0 - F OW2 L D +CENTERING S EH1 N - T ER0 - IH0 NG +CENTERIOR S EH2 N - T IH1 - R IY0 - ER0 +CENTERPIECE S EH1 N - T ER0 - P IY2 S +CENTERRE S EH1 N - T ER0 +CENTERRE'S S EH1 N - T ER0 Z +CENTERS S EH1 N - T ER0 Z +CENTERS' S EH1 N - T ER0 Z +CENTERS'(2) S EH1 - N ER0 Z +CENTERS(2) S EH1 - N ER0 Z +CENTERVILLE S EH1 N - T ER0 - V IH0 L +CENTEX S EH1 N - T EH2 K S +CENTIGRADE S EH1 N - T AH0 - G R EY2 D +CENTIGRAM S EH1 N - T AH0 - G R AE2 M +CENTIME S EH1 N - T AY2 M +CENTIMES S EH1 N - T AY2 M Z +CENTIMETER S EH1 N - T AH0 - M IY2 - T ER0 +CENTIMETERS S EH1 N - T AH0 - M IY2 - T ER0 Z +CENTIPEDE S EH1 N - T IH0 - P IY2 D +CENTNER S EH1 N T - N ER0 +CENTOCOR S EH1 N - T AH0 - K AO2 R +CENTOCOR'S S EH1 N - T AH0 - K AO2 R Z +CENTOFANTI CH EH0 N - T OW0 - F AA1 N - T IY0 +CENTOLA CH EH0 N - T OW1 - L AH0 +CENTOXIN S EH2 N - T AA1 K - S IH0 N +CENTRAL S EH1 N - T R AH0 L +CENTRAL'S S EH1 N - T R AH0 L Z +CENTRALE S EH0 N - T R AA1 L +CENTRALIA S EH0 N - T R EY1 - L IY0 - AH0 +CENTRALISM S EH1 N - T R AH0 - L IH2 - Z AH0 M +CENTRALISTS S EH1 N - T R AH0 - L IH0 S T S +CENTRALISTS(2) S EH1 N - T R AH0 - L IH0 S S +CENTRALISTS(3) S EH1 N - T R AH0 - L IH0 S +CENTRALITY S EH0 N - T AE1 - L IH0 - T IY0 +CENTRALIZATION S EH2 N - T R AH0 - L IH0 - Z EY1 - SH AH0 N +CENTRALIZE S EH1 N - T R AH0 - L AY2 Z +CENTRALIZED S EH1 N - T R AH0 - L AY2 Z D +CENTRALIZING S EH1 N - T R AH0 - L AY2 - Z IH0 NG +CENTRALLY S EH1 N - T R AH0 - L IY0 +CENTRAM S EH1 N - T R AE2 M +CENTRE S EH1 N - T ER0 +CENTRELLA S EH2 N - T R EH1 - L AH0 +CENTRES S EH1 N - T ER0 Z +CENTREX S EH1 N - T R AH0 K S +CENTRIFUGAL S EH0 N - T R IH1 - F Y IH0 - G AH0 L +CENTRIFUGE S EH1 N - T R AH0 - F Y UW2 JH +CENTRIFUGES S EH1 N - T R AH0 - F Y UW2 - JH IH0 Z +CENTRIST S EH1 N - T R IH0 S T +CENTRISTS S EH1 N - T R IH0 S T S +CENTRISTS(2) S EH1 N - T R IH0 S S +CENTRISTS(3) S EH1 N - T R IH0 S +CENTRO S EH1 N - T R OW0 +CENTROMIN S EH1 N - T R AH0 - M IH0 N +CENTRONICS S EH2 N - T R AA1 - N IH0 K S +CENTRUST S EH1 N - T R AH2 S T +CENTRUST'S S EH1 N - T R AH2 S T S +CENTS S EH1 N T S +CENTS(2) S EH1 N S +CENTUM K EH1 N - T AH0 M +CENTURI S EH0 N - T UH1 - R IY0 +CENTURIES S EH1 N - CH ER0 - IY0 Z +CENTURION S EH0 N - T UH1 - R IY0 - AH0 N +CENTURY S EH1 N - CH ER0 - IY0 +CENTURY'S S EH1 N - CH ER0 - IY0 Z +CENVILL S EH1 N - V IH0 L +CEP S EH1 P +CEPEDA S EY0 - P EY1 - D AH0 +CEPERO S EY0 - P EH1 - R OW0 +CEPHALON S EH1 - F AH0 - L AA2 N +CEPHALOPOD S EH1 - F AH0 - L AH0 - P AA2 D +CEPHALOSPORIN S EH2 - F AH0 - L AO1 - S P ER0 - IH0 N +CEPHAS S EH1 - F AH0 Z +CEPHUS S EH1 - F AH0 S +CERA S EH1 - R AH0 +CERACEOUS S ER0 - EY1 - SH AH0 S +CERADYNE S EH1 - R AH0 - D AY2 N +CERAMI CH ER0 - AA1 - M IY0 +CERAMIC S ER0 - AE1 - M IH0 K +CERAMICS S ER0 - AE1 - M IH0 K S +CERANKOSKY S EH2 - R AH0 NG - K AO1 S - K IY0 +CERASOLI CH ER0 - AA0 - S OW1 - L IY0 +CERAVOLO CH ER0 - AA0 - V OW1 - L OW0 +CERBONE CH ER1 - B OW0 N +CERCONE CH ER0 - K OW1 - N IY0 +CERDA CH EH1 R - D AH0 +CEREAL S IH1 - R IY0 - AH0 L +CEREALS S IH1 - R IY0 - AH0 L Z +CEREBRAL S EH1 - R AH0 - B R AH0 L +CEREBRAL(2) S ER0 - IY1 - B R AH0 L +CEREBRALLY S ER0 - IY1 - B R AH0 - L IY0 +CEREDASE S EH1 - R AH0 - D EY2 Z +CEREGHINO CH ER0 - EH0 - G IY1 - N OW0 +CERELIA CH ER0 - EH1 - L IY0 - AH0 +CEREMONIAL S EH2 - R AH0 - M OW1 - N IY0 - AH0 L +CEREMONIES S EH1 - R AH0 - M OW2 - N IY0 Z +CEREMONY S EH1 - R AH0 - M OW2 - N IY0 +CERENO S ER0 - EY1 - N OW0 +CERES S IH1 - R IY0 Z +CEREZO S EH2 - R EY1 - Z OW0 +CEREZO(2) S ER0 - EY1 - Z OW0 +CERF S ER1 F +CERIDIAN S ER0 - IH1 - D IY0 - AH0 N +CERINO CH ER0 - IY1 - N OW0 +CERIO CH EH1 - R IY0 - OW0 +CERISE S ER0 - IY1 S +CERMAK CH ER1 - M AH0 K +CERN S ER1 N +CERNA CH EH1 R - N AH0 +CERNEY S ER1 - N IY0 +CERNIGLIA CH ER0 - N IY1 - G L IY0 - AH0 +CERNUDA S ER0 - N UW1 - D AH0 +CERNUDA'S S ER0 - N UW1 - D AH0 Z +CERNY S ER1 - N IY0 +CERONE CH ER0 - OW1 - N IY0 +CERRA S EH1 - R AH0 +CERRATO CH ER0 - AA1 - T OW0 +CERRETA CH ER0 - EH1 - T AH0 +CERRITO CH ER0 - IY1 - T OW0 +CERRITOS S EH0 - R IY1 - T OW0 S +CERRO S EH1 - R OW0 +CERRONE CH ER0 - OW1 - N IY0 +CERRUTI CH ER0 - UW1 - T IY0 +CERRUTI(2) S ER0 - UW1 - T IY0 +CERSKA K ER1 - S K AH0 +CERSKA(2) S ER1 - S K AH0 +CERTAIN S ER1 - T AH0 N +CERTAINLY S ER1 - T AH0 N - L IY0 +CERTAINTEED S ER1 - T AH0 N - T IY2 D +CERTAINTIES S ER1 - T AH0 N - T IY0 Z +CERTAINTY S ER1 - T AH0 N - T IY0 +CERTIFICATE S ER0 - T IH1 - F IH0 - K AH0 T +CERTIFICATES S ER0 - T IH1 - F IH0 - K AH0 T S +CERTIFICATION S ER2 - T AH0 - F AH0 - K EY1 - SH AH0 N +CERTIFICATIONS S ER2 - T AH0 - F AH0 - K EY1 - SH AH0 N Z +CERTIFIED S ER1 - T AH0 - F AY2 D +CERTIFIED'S S ER1 - T AH0 - F AY2 D Z +CERTIFIES S ER1 - T AH0 - F AY2 Z +CERTIFY S ER1 - T AH0 - F AY2 +CERTIFYING S ER1 - T AH0 - F AY2 - IH0 NG +CERTITUDE S ER1 - T AH0 - T UW2 D +CERTO CH EH1 R - T OW0 +CERTRON S ER1 - T R AA0 N +CERULLI CH ER0 - UW1 - L IY0 +CERULLO CH ER0 - UW1 - L OW0 +CERUS S EH1 - R AH0 S +CERUTTI CH ER0 - UW1 - T IY0 +CERVANTEZ S EH0 R - V AA1 N - T EH0 Z +CERVECERIA S ER2 - V AH0 - S IH1 - R IY0 - AH0 +CERVENKA S EH0 R - V EY1 NG - K AH0 +CERVENY CH ER0 - V IY1 - N IY0 +CERVERA CH ER0 - V EH1 - R AH0 +CERVESATO S EH2 R - V EH0 - S AA1 - T OW2 +CERVEZA S ER2 - V EY1 - Z AH0 +CERVEZA(2) S EH2 R - V EY1 - Z AH0 +CERVI CH EH1 R - V IY0 +CERVICAL S ER1 - V AH0 - K AH0 L +CERVICAL(2) S ER1 - V IH0 - K AH0 L +CERVINI CH ER0 - V IY1 - N IY0 +CERVIX S ER1 - V IH0 K S +CERVONE CH ER0 - V OW1 - N IY0 +CERYL S EH1 - R AH0 L +CESAR S IY1 - Z ER0 +CESARE CH EY0 - Z AA1 - R EY0 +CESARIO CH EH0 - S AA1 - R IY0 - OW0 +CESARO CH EH0 - S AA1 - R OW0 +CESARZ S EY1 - S AA0 R Z +CESENA CH EH0 - S EH1 - N AH0 +CESIUM S IY1 - Z IY0 - AH0 M +CESPEDES S EY0 S - P EY1 - D EH0 S +CESSATION S EH2 - S EY1 - SH AH0 N +CESSNA S EH1 S - N AH0 +CESSNA'S S EH1 S - N AH0 Z +CESSNA'S(2) S EH1 Z - N AH0 Z +CESSNA(2) S EH1 Z - N AH0 +CESSPOOL S EH1 S - P UW2 L +CESTARO CH EH0 - S T AA1 - R OW0 +CETA S EH1 - T AH0 +CETA(2) S IY1 - IY1 - T IY1 - EY1 +CETACEAN S IH0 - T EY1 - SH AH0 N +CETACEAN(2) S IY0 - T EY1 - SH AH0 N +CETEC S IY1 - T EH2 K +CETERA S EH1 - T ER0 - AH0 +CETUS S IY1 - T AH0 S +CETUS'S S IY1 - T AH0 - S IH0 Z +CEVALLOS S EY0 - V AA1 - L OW0 Z +CEVAXS S EH1 - V AE0 K - S IH0 Z +CEYLON S IH0 - L AA1 N +CEYLON(2) S IY0 - L AA1 N +CEZANNE S EH2 - Z AE1 N +CEZANNE'S S EH2 - Z AE1 N Z +CHA CH AA1 +CHA-CHAS CH AA1 - CH AA2 Z +CHABLIS SH AH0 - B L IY1 +CHABON CH EY1 - B AH0 N +CHABOT SH AH0 - B OW1 +CHACABUCO CH AE2 - K AH0 - B Y UW1 - K OW0 +CHACE CH EY1 S +CHACHERE SH AH0 - SH IH1 R +CHACHI CH AA1 - CH IY0 +CHACIN SH EY1 - S IH0 N +CHACKO CH AE1 - K OW0 +CHACON CH AE1 - K AH0 N +CHAD CH AE1 D +CHAD'S CH AE1 D Z +CHADBOURNE SH AH0 D - B UH1 R N +CHADD CH AE1 D +CHADDERDON CH AH0 - D ER1 - D AH0 N +CHADDOCK CH AE1 - D AH0 K +CHADEL CH AE1 - D AH0 L +CHADIAN CH EY1 - D IY0 - AH0 N +CHADICK CH AE1 - D IH0 K +CHADLI CH AE1 D - L IY0 +CHADRON CH AE1 - D R AH0 N +CHADWELL CH AE1 D - W EH2 L +CHADWICK CH AE1 D - W IH0 K +CHADWICK'S CH AE1 D - W IH0 K S +CHAE CH AY1 +CHAEBOL CH EY1 - B AH0 L +CHAFE CH EY1 F +CHAFED CH EY1 F T +CHAFEE CH AE1 - F IY0 +CHAFEE'S CH EY1 - F IY0 Z +CHAFEE'S(2) CH AE1 - F IY0 Z +CHAFEE(2) CH EY1 - F IY0 +CHAFES CH EY1 F S +CHAFF CH AE1 F +CHAFFEE CH AE1 - F IY0 +CHAFFIN CH AE1 - F IH0 N +CHAFFINS CH AE1 - F IH0 N Z +CHAFFY CH AE1 - F IY0 +CHAFIN CH AE1 - F IH0 N +CHAFING CH EY1 - F IH0 NG +CHAGALL CH AH0 - G AA1 L +CHAGALL(2) CH AH0 - G AE1 L +CHAGNON CH AE1 G - N AH0 N +CHAGRIN SH AH0 - G R IH1 N +CHAGRINED SH AH0 - G R IH1 N D +CHAI CH AY1 +CHAIDEZ CH AA0 - IY1 - D EH0 Z +CHAIKEN CH EY1 - K AH0 N +CHAIKIN CH EY1 - K IH0 N +CHAIM HH AY1 - IH0 M +CHAIN CH EY1 N +CHAIN'S CH EY1 N Z +CHAINED CH EY1 N D +CHAINING CH EY1 - N IH0 NG +CHAINS CH EY1 N Z +CHAINS' CH EY1 N Z +CHAINSAW CH EY1 N - S AO2 +CHAINSAWS CH EY1 N - S AO2 Z +CHAIR CH EH1 R +CHAIRED CH EH1 R D +CHAIRES SH EH1 R Z +CHAIREZ CH AA0 - IH1 - R EH0 Z +CHAIRING CH EH1 - R IH0 NG +CHAIRMAN CH EH1 R - M AH0 N +CHAIRMAN'S CH EH1 R - M AH0 N Z +CHAIRMANSHIP CH EH1 R - M AH0 N - SH IH2 P +CHAIRMANSHIPS CH EH1 R - M AH0 N - SH IH2 P S +CHAIRMEN CH EH1 R - M IH0 N +CHAIRPEOPLE CH EH1 R - P IY2 - P AH0 L +CHAIRPERSON CH EH1 R - P ER2 - S AH0 N +CHAIRS CH EH1 R Z +CHAIRWOMAN CH EH1 R - W UH2 - M AH0 N +CHAIRWOMEN CH EH1 R - W IH2 - M EH0 N +CHAISE SH EY1 Z +CHAISSON CH EY1 - S AH0 N +CHAIT CH EY1 T +CHAJET CH AE1 - JH AH0 T +CHALABI CH AH0 - L AA1 - B IY0 +CHALASANI CH AE2 - L AH0 - S AE1 - N IY0 +CHALET SH AE1 - L EY2 +CHALET(2) SH AH0 - L EY1 +CHALETS SH AH0 - L EY1 Z +CHALETS(2) SH AE1 - L EY2 Z +CHALFANT CH AE1 - F AH0 N T +CHALFANT(2) CH AE1 - F AA0 N T +CHALFIN CH AE1 L - F IH0 N +CHALIFOUX SH AE1 - L IH0 - F UW0 +CHALK CH AA1 K +CHALK(2) CH AO1 K +CHALKED CH AO1 K T +CHALKER CH AO1 - K ER0 +CHALKING CH AO1 - K IH0 NG +CHALKLEY CH AE1 L K - L IY0 +CHALKS CH AO1 K S +CHALLENDER CH AH0 - L EH1 N - D ER0 +CHALLENGE CH AE1 - L AH0 N JH +CHALLENGED CH AE1 - L AH0 JH D +CHALLENGER CH AE1 - L AH0 N - JH ER0 +CHALLENGER'S CH AE1 - L AH0 N - JH ER0 Z +CHALLENGER(2) CH AE1 - L IH0 N - JH ER0 +CHALLENGERS CH AE1 - L AH0 N - JH ER0 Z +CHALLENGERY CH AE1 - L AH0 N - JH ER0 - IY0 +CHALLENGES CH AE1 - L AH0 N - JH IH0 Z +CHALLENGING CH AE1 - L AH0 N - JH IH0 NG +CHALLIS CH AE1 - L IH0 S +CHALLIS(2) SH AE1 - L IY0 +CHALMERS CH AA1 - M ER0 Z +CHALMETTE SH AE0 L - M EH1 T +CHALOUPKA CH AH0 - L UW1 P - K AH0 +CHALOUX SH AH0 - L UW1 +CHALSTY CH AE1 L - S T IY0 +CHALUPA CH AH0 - L UW1 - P AH0 +CHAM CH AE1 M +CHAMBER CH EY1 M - B ER0 +CHAMBER'S CH EY1 M - B ER0 Z +CHAMBERED CH EY1 M - B ER0 D +CHAMBERLAIN CH EY1 M - B ER0 - L AH0 N +CHAMBERLAIN'S CH EY1 M - B ER0 - L AH0 N Z +CHAMBERLAIN(2) CH EY1 M - B ER0 - L IH0 N +CHAMBERLAND CH AE1 M - B ER0 - L AH0 N D +CHAMBERLAYNE CH EY1 M - B ER0 - L EY2 N +CHAMBERLIN CH EY1 M - B ER0 - L IH0 N +CHAMBERS CH EY1 M - B ER0 Z +CHAMBERS' CH EY1 M - B ER0 Z +CHAMBERS'S CH EY1 M - B ER0 - Z IH0 Z +CHAMBLEE CH AE1 M - B L IY0 +CHAMBLESS SH AH0 M - B L IY1 S +CHAMBLIN CH AE1 M - B L IH0 N +CHAMBLISS CH AE1 M - B L IH0 S +CHAMBON CH AE1 M - B AH0 N +CHAMELEON CH AH0 - M EH1 - L IY0 - AH0 N +CHAMELEON(2) K AH0 - M IY1 - L IY0 - AH0 N +CHAMLEE CH AE1 M - L IY0 +CHAMLONG CH AE1 M - L AO2 NG +CHAMNESS CH AE1 M - N IH0 S +CHAMORRO CH AH0 - M AO1 - R OW0 +CHAMORRO'S CH AH0 - M AO1 - R OW0 Z +CHAMORRO(2) CH OW0 - M AO1 - R OW0 +CHAMP CH AE1 M P +CHAMPA K AA1 M - P AH0 +CHAMPAGNE SH AE0 M - P EY1 N +CHAMPAGNES SH AE0 M - P EY1 N Z +CHAMPAIGN CH AE0 M - P EY1 N +CHAMPEAU SH AE0 M - P OW1 +CHAMPINE CH AE1 M - P AY2 N +CHAMPION CH AE1 M - P IY0 - AH0 N +CHAMPION'S CH AE1 M - P IY0 - AH0 N Z +CHAMPIONED CH AE1 M - P IY0 - AH0 N D +CHAMPIONING CH AE1 M - P IY0 - AH0 - N IH0 NG +CHAMPIONS CH AE1 M - P IY0 - AH0 N Z +CHAMPIONSHIP CH AE1 M - P IY0 - AH0 N - SH IH2 P +CHAMPIONSHIPS CH AE1 M - P IY0 - AH0 N - SH IH2 P S +CHAMPLAIN SH AE0 M - P L EY1 N +CHAMPLIN CH AE1 M - P L IH0 N +CHAMPNEY CH AE1 M P - N IY0 +CHAMPOUX SH AE0 M - P UW1 +CHAMPS CH AE1 M P S +CHAN CH AE1 N +CHAN'S CH AE1 N Z +CHANA CH AE1 - N AH0 +CHANCE CH AE1 N S +CHANCELLOR CH AE1 N - S AH0 - L ER0 +CHANCELLOR'S CH AE1 N - S AH0 - L ER0 Z +CHANCELLOR(2) CH AE1 N S - L ER0 +CHANCELLORS CH AE1 N - S AH0 - L ER0 Z +CHANCERY CH AE1 N - S ER0 - IY0 +CHANCES CH AE1 N - S AH0 Z +CHANCES(2) CH AE1 N - S IH0 Z +CHANCEY CH AE1 N - S IY0 +CHANCY CH AE1 N - S IY0 +CHAND CH AE1 N D +CHANDA CH AE1 N - D AH0 +CHANDELIER SH AE0 N - D AH0 - L IH1 R +CHANDELIERS SH AE2 N - D AH0 - L IH1 Z +CHANDLER CH AE1 N D - L ER0 +CHANDLER'S CH AE1 N D - L ER0 Z +CHANDLEY CH AE1 N D - L IY0 +CHANDON CH AE1 N - D IH0 N +CHANDON(2) SH AE2 N - D AA1 N +CHANDRA CH AE1 N - D R AH0 +CHANDROSS CH AE0 N - D R AO1 S +CHANEL SH AH0 - N EH1 L +CHANEY CH EY1 - N IY0 +CHANG CH AE1 NG +CHANG-HSIN CH AA1 NG - SH IH1 N +CHANG-MING CH AA1 NG - M IH1 NG +CHANG-MING(2) CH AE1 NG - M IH1 NG +CHANGCHUN CH AA1 NG - CH UH1 N +CHANGE CH EY1 N JH +CHANGEABLE CH EY1 N - JH AH0 - B AH0 L +CHANGED CH EY1 N JH D +CHANGEOVER CH EY1 N JH - OW2 - V ER0 +CHANGEOVERS CH EY1 N JH - OW2 - V ER0 Z +CHANGER CH EY1 N - JH ER0 +CHANGERS CH EY1 N - JH ER0 Z +CHANGES CH EY1 N - JH AH0 Z +CHANGES(2) CH EY1 N - JH IH0 Z +CHANGING CH EY1 N - JH IH0 NG +CHANGSHO CH AE1 NG - SH OW1 +CHANIN CH AE1 - N IH0 N +CHANLEY CH AE1 N - L IY0 +CHANNEL CH AE1 - N AH0 L +CHANNEL'S CH AE1 - N AH0 L Z +CHANNELED CH AE1 - N AH0 L D +CHANNELING CH AE1 - N AH0 L - IH0 NG +CHANNELING(2) CH AE1 N - L IH0 NG +CHANNELL CH AE1 - N AH0 L +CHANNELL'S SH AH0 - N EH1 L Z +CHANNELS CH AE1 - N AH0 L Z +CHANNING CH AE1 - N IH0 NG +CHANNON CH AE1 - N AH0 N +CHANOS CH AA1 - N OW0 S +CHANT CH AE1 N T +CHANTAL CH AE1 N - T AH0 L +CHANTED CH AE1 N - T IH0 D +CHANTILLY SH AE2 N - T IH1 - L IY0 +CHANTING CH AE1 N - T IH0 NG +CHANTS CH AE1 N T S +CHANUKAH HH AA1 - N AH0 - K AH0 +CHANY CH EY1 - N IY0 +CHAO CH AW1 +CHAOS K EY1 - AA0 S +CHAOTIC K EY0 - AA1 - T IH0 K +CHAP CH AE1 P +CHAPA CH AA1 - P AH0 +CHAPARRAL SH AE2 - P ER0 - AE1 L +CHAPARRO K AA0 - P AA1 - R OW0 +CHAPAS CH AA1 - P AH0 S +CHAPDELAINE SH AE1 P - D IH0 - L EY0 N +CHAPEK CH AE1 - P IH0 K +CHAPEL CH AE1 - P AH0 L +CHAPEL'S CH AE1 - P AH0 L Z +CHAPELL SH AH0 - P EH1 L +CHAPELLE SH AH0 - P EH1 L +CHAPERONE SH AE1 - P ER0 - OW2 N +CHAPERONING SH AE1 - P ER0 - OW2 - N IH0 NG +CHAPIN SH AH0 - P AE1 N +CHAPLAIN CH AE1 P - L AH0 N +CHAPLAINS CH AE1 P - L AH0 N Z +CHAPLIN CH AE1 P - L AH0 N +CHAPLIN'S CH AE1 P - L IH0 N Z +CHAPLIN(2) CH AE1 P - L IH0 N +CHAPMAN CH AE1 P - M AH0 N +CHAPMAN'S CH AE1 P - M AH0 N Z +CHAPNICK CH AE1 P - N IH0 K +CHAPOTON CH AE1 - P OW0 - AA2 N +CHAPP CH AE1 P +CHAPPAQUIDDICK CH AE2 - P AH0 - K W IH1 - D IH0 K +CHAPPEL CH AE1 - P AH0 L +CHAPPELEAR SH AE1 - P IH0 - L ER0 +CHAPPELL CH AE1 - P AH0 L +CHAPPELLE SH AH0 - P EH1 L +CHAPPIE CH AE1 - P IY0 +CHAPPLE CH AE1 - P AH0 L +CHAPPUIS SH AE1 - P UW0 - IH0 Z +CHAPS CH AE1 P S +CHAPTER CH AE1 P - T ER0 +CHAPTERS CH AE1 P - T ER0 Z +CHAPUT CH AE1 - P AH0 T +CHAR CH AA1 R +CHARACTER K EH1 - R IH0 K - T ER0 +CHARACTER'S K EH1 - R IH0 K - T ER0 Z +CHARACTERISTIC K EH2 - R AH0 K - T ER0 - IH1 - S T IH0 K +CHARACTERISTICALLY K EH2 - R AH0 K - T ER0 - IH1 - S T IH0 K - L IY0 +CHARACTERISTICS K EH2 - R AH0 K - T ER0 - IH1 - S T IH0 K S +CHARACTERIZATION K EH2 - R AH0 K - T ER0 - IH0 - Z EY1 - SH AH0 N +CHARACTERIZATIONS K EH2 - R AH0 K - T ER0 - IH0 - Z EY1 - SH AH0 N Z +CHARACTERIZE K EH1 - R AH0 K - T ER0 - AY2 Z +CHARACTERIZED K EH1 - R AH0 K - T ER0 - AY2 Z D +CHARACTERIZES K EH1 - R AH0 K - T ER0 - AY2 - Z AH0 Z +CHARACTERIZING K EH1 - R IH0 K - T ER0 - AY2 - Z IH0 NG +CHARACTERS K AE1 - R IH0 K - T ER0 Z +CHARACTERS' CH EH1 - R AH0 K - T ER0 Z +CHARACTERS(2) K EH1 - R AH0 K - T ER0 Z +CHARADE SH ER0 - EY1 D +CHARADES SH ER0 - EY1 D Z +CHARALAMBOS CH AA2 - R AH0 - L AA1 M - B OW0 S +CHARASSE CH EH1 - R AE0 S +CHARBONEAU SH AA1 R - B AH0 - N OW0 +CHARBONNEAU SH AA1 R - B AH0 - N OW2 +CHARBONNET SH AA1 R - B AH0 - N IH0 T +CHARBONNET(2) SH AA1 R - B AH0 - N EY0 +CHARCOAL CH AA1 R - K OW2 L +CHARCOALS CH AA1 R - K OW2 L Z +CHARD CH AA1 R D +CHARDONNAY CH AA0 R - D AA1 - N EY0 +CHARDONNAYS CH AA0 R - D AA1 - N EY0 Z +CHAREN CH AA1 - R AH0 N +CHAREN'S CH AA1 - R AH0 N Z +CHAREST CH AA0 - R EY1 - IH0 S T +CHARETTE SH ER0 - EH1 T +CHARGE CH AA1 R JH +CHARGEABLE CH AA1 R - JH AH0 - B AH0 L +CHARGED CH AA1 R JH D +CHARGER CH AA1 R - JH ER0 +CHARGERS CH AA1 R - JH ER0 Z +CHARGES CH AA1 R - JH AH0 Z +CHARGES(2) CH AA1 R - JH IH0 Z +CHARGEURS CH AA0 R - G Y UW1 R Z +CHARGING CH AA1 R - JH IH0 NG +CHARGIT CH AA1 R - JH IH0 T +CHARGOIS SH AA0 R - G W AA1 +CHARIOT CH EH1 - R IY0 - AH0 T +CHARIOTS CH EH1 - R IY0 - AH0 T S +CHARISMA K ER0 - IH1 Z - M AH0 +CHARISMATIC K EH0 - R IH0 Z - M AE1 - T IH0 K +CHARISMATICS K EH2 - R IH0 Z - M AE1 - T IH0 K S +CHARISSA K AA0 - R IY1 - S AH0 +CHARITA K AA0 - R IY1 - T AH0 +CHARITABLE CH AE1 - R AH0 - T AH0 - B AH0 L +CHARITABLE(2) CH EH1 - R AH0 - T AH0 - B AH0 L +CHARITABLY CH EH1 - R IH0 - T AH0 - B L IY0 +CHARITIES CH EH1 - R AH0 - T IY0 Z +CHARITIES' CH EH1 - R IH0 - T IY0 Z +CHARITIES(2) CH EH1 - R IH0 - T IY0 Z +CHARITY CH EH1 - R IH0 - T IY0 +CHARITY'S CH EH1 - R AH0 - T IY0 Z +CHARLA CH AA1 R - L AH0 +CHARLAND CH AA1 R - L AH0 N D +CHARLATAN SH AA1 R - L AH0 - T AH0 N +CHARLATANS SH AA1 R - L AH0 - T AH0 N Z +CHARLAYNE SH AA0 R - L EY1 N +CHARLE CH AA1 R L +CHARLEBOIS SH AA1 R - L IH0 - B W AA0 +CHARLEEN CH AA0 R - L IY1 N +CHARLEMAGNE SH AA1 R - L AH0 - M EY2 N +CHARLENE SH AA0 R - L IY1 N +CHARLES CH AA1 R L Z +CHARLES' CH AA1 R L Z +CHARLES'(2) CH AA1 - R AH0 L Z +CHARLES'S CH AA1 R L - Z IH0 Z +CHARLES(2) CH AA1 - R AH0 L Z +CHARLESTON CH AA1 R L - S T AH0 N +CHARLESTON'S CH AA1 R L - S T AH0 N Z +CHARLESTON'S(2) CH AA1 - R AH0 L - S T AH0 N Z +CHARLESTON(2) CH AA1 - R AH0 L - S T AH0 N +CHARLESTOWN CH AA1 R L - S T AW2 N +CHARLESTOWN(2) CH AA1 - R AH0 L - S T AW2 N +CHARLESWORTH CH AA1 - R AH0 L - S W ER0 TH +CHARLESWORTH(2) CH AA1 - R AH0 L Z - W ER0 TH +CHARLET CH AA1 R - L IH0 T +CHARLEY CH AA1 R - L IY0 +CHARLEY'S CH AA1 R - L IY0 Z +CHARLIE CH AA1 R - L IY0 +CHARLIE'S CH AA1 R - L IY0 Z +CHARLIER CH AA1 R - L IY0 - ER0 +CHARLINE SH AA0 R - L IY1 N +CHARLOT CH AA1 R - L AH0 T +CHARLOTTE SH AA1 R - L AH0 T +CHARLOTTE'S SH AA1 R - L AH0 T S +CHARLOTTESVILLE SH AA1 R - L AH0 T S - V IH2 L +CHARLOTTETOWN SH AA1 R - L AH0 T - T AW2 N +CHARLOTTEVILLE SH AA1 R - L AH0 T - V IH2 L +CHARLS CH AA1 R L Z +CHARLSON CH AA1 R L - S AH0 N +CHARLTON CH AA1 R L - T AH0 N +CHARM CH AA1 R M +CHARMAIN SH AA0 R - M EY1 N +CHARMAINE SH AA0 R - M EY1 N +CHARMED CH AA1 R M D +CHARMER CH AA1 R - 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AH0 +CHIANESE K IY0 - AA0 - N EY1 - Z IY0 +CHIANG CH AE1 NG +CHIANG'S CH AE1 NG Z +CHIANTI CH IY0 - AE1 N - T IY0 +CHIAPAS CH IY0 - AA1 - P AH0 S +CHIAPPARONE CH IY0 - AE1 - P ER0 - OW2 N +CHIAPPETTA K IY0 - AA0 - P EH1 - T AH0 +CHIAPPONE K IY0 - AA0 - P OW1 - N IY0 +CHIARA K Y AA1 - R AH0 +CHIARAMONTE K IY0 - AA0 - R AA0 - M OW1 N - T IY0 +CHIARELLA K IY0 - AA0 - R EH1 - L AH0 +CHIARELLI K IY0 - AA0 - R EH1 - L IY0 +CHIARELLO K IY0 - AA0 - R EH1 - L OW0 +CHIARENZA K IY0 - AA0 - R EH1 N - Z AH0 +CHIARNIM K IY0 - AA1 R - N IH2 M +CHIARO K IY0 - AA1 - R OW0 +CHIASSON CH IY0 - AA1 - S AH0 N +CHIAT CH IY1 - AE0 T +CHIAVETTA K IY0 - AA0 - V EH1 - T AH0 +CHIBA CH IY1 - B AH0 +CHIC SH IY1 K +CHICAGO SH AH0 - K AA1 - G OW2 +CHICAGO'S SH AH0 - K AA1 - G OW2 Z +CHICAGOAN CH IH1 - K AH0 - G OW2 N +CHICAGOANS SH AH0 - K AA1 - G OW2 - AH0 N Z +CHICANERY SH IH0 - K EY1 - N ER0 - IY0 +CHICANO CH IH0 - K AA1 - N OW0 +CHICANOS CH IH0 - K AA1 - N OW0 Z +CHICHAUHA CH IY2 - CH AW1 - AH0 +CHICHAUHA'S CH IY2 - CH AW1 - AH0 Z +CHICHESTER CH IH1 - CH EH0 - S T ER0 +CHICHI CH IY1 - CH IY0 +CHICK CH IH1 K +CHICKASAW CH IH1 - K AH0 - S AO2 +CHICKASAWS CH IH1 - K AH0 - S AO2 Z +CHICKED CH IH0 K T +CHICKEN CH IH1 - K AH0 N +CHICKEN'S CH IH1 - K AH0 N Z +CHICKENED CH IH1 - K AH0 N D +CHICKENS CH IH1 - K AH0 N Z +CHICKERING CH IH1 - K ER0 - IH0 NG +CHICKS CH IH1 K S +CHICO CH IY1 - K OW2 +CHICO'S CH IY1 - K OW2 Z +CHICOINE CH IH0 - K OY1 N +CHICOTS CH IH1 - K AH0 T S +CHIDE CH AY1 D +CHIDED CH AY1 - D IH0 D +CHIDES CH AY1 D Z +CHIDESTER CH IH1 - D IH0 - S T ER0 +CHIDEYA CH IH0 - D IY1 - Y AH0 +CHIDEYA(2) CH IH0 - D EY1 - Y AH0 +CHIDING CH AY1 - D IH0 NG +CHIDSEY CH IH1 D - Z IY0 +CHIEF CH IY1 F +CHIEF'S CH IY1 F S +CHIEFDOM CH IY1 F - D AH0 M +CHIEFFO K IY1 - F OW0 +CHIEFLY CH IY1 F - L IY0 +CHIEFS CH IY1 F S +CHIEFS' CH IY1 F S +CHIEFTAIN CH IY1 F - T AH0 N +CHIEFTAIN'S CH IY1 F - T AH0 N Z +CHIEFTAINS CH IY1 F - T AH0 N Z +CHIEN CH EH1 N +CHIENGMAI CH EH1 NG - M AY1 +CHIESA K IY1 - S AH0 +CHIFFON SH IH0 - F AA1 N +CHIGGERS CH IH1 - G ER0 Z +CHIGNEY CH IH1 G - N IY0 +CHIHUAHUA CH AH0 - W AA1 - W AA2 +CHIHUAHUA(2) CH IY2 - W AA1 - W AH0 +CHIKANE CH IH0 - K AA1 - N EY0 +CHIKATILO CH IH0 - K AH0 - T IH2 - L OW0 +CHIKOS CH IY1 - K OW0 S +CHILCOAT CH IH1 L - K OW2 T +CHILCOTE CH IH1 L - K OW2 T +CHILCOTT CH IH1 L - K AH0 T +CHILCUTT CH IH1 L - K AH0 T +CHILD CH AY1 L D +CHILD'S CH AY1 L D Z +CHILDBEARING CH AY1 L D - B EH2 - R IH0 NG +CHILDBIRTH CH AY1 L D - B ER2 TH +CHILDCARE CH AY1 L D - K EH2 R +CHILDCRAFT CH AY1 L D - K R AE2 F T +CHILDE CH IH1 L D +CHILDENER CH IH1 L D - N ER0 +CHILDENER'S CH IH1 L D - N ER0 Z +CHILDENER'S(2) CH IH1 L - D IH0 - N ER0 Z +CHILDENER(2) CH IH1 L - D IH0 - N ER0 +CHILDERS CH IH1 L - D ER0 Z +CHILDHOOD CH AY1 L D - HH UH2 D +CHILDHOODS CH AY1 L D - HH UH2 D Z +CHILDISH CH AY1 L - D IH0 SH +CHILDLESS CH AY1 L D - L AH0 S +CHILDLIKE CH AY1 L D - L AY2 K +CHILDRAISING CH AY1 L - D R EY2 - Z IH0 NG +CHILDREE CH AY0 L - D R IY1 +CHILDREN CH IH1 L - D R AH0 N +CHILDREN'S CH IH1 L - D R AH0 N Z +CHILDRENS CH IH1 L - D R AH0 N Z +CHILDRENS' CH IH1 L - D R AH0 N Z +CHILDRES CH AY1 L - D ER0 Z +CHILDRESS CH IH1 L - D R IH0 S +CHILDREY CH IH1 L - D R IY0 +CHILDS CH AY1 L D Z +CHILE CH IH1 - L IY0 +CHILE'S CH IH1 - L IY0 Z +CHILEAN CH IH1 - L IY0 - AH0 N +CHILEANS CH IH1 - L IY0 - AH0 N Z +CHILES CH AY1 L Z +CHILES'S CH IH1 - L IY0 - Z IH0 Z +CHILES(2) CH IH1 - L IY0 Z +CHILI CH IH1 - L IY0 +CHILI'S CH IH1 - L IY0 Z +CHILIES CH IH1 - L IY0 Z +CHILIS CH IH1 - L IY0 Z +CHILL CH IH1 L +CHILLED CH IH1 L D +CHILLEMI K IY0 - L EH1 - M IY0 +CHILLER CH IH1 - L ER0 +CHILLICOTHE CH IH1 - L IH0 - K AO0 TH +CHILLIER CH IH1 - L IY0 - ER0 +CHILLIES CH IH1 - L IY0 Z +CHILLING CH IH1 - L IH0 NG +CHILLINGLY CH IH1 - L IH0 NG - L IY0 +CHILLS CH IH1 L Z +CHILLY CH IH1 - L IY0 +CHILMARK CH IH1 L - M AA2 R K +CHILSON CH IH1 L - S AH0 N +CHILTON CH IH1 L - T AH0 N +CHIMAYO CH IH0 - M AY1 - OW0 +CHIME CH AY1 M +CHIMED CH AY1 M D +CHIMENTI CH IH0 - M EH1 N - T IY0 +CHIMENTO CH IH0 - M EH1 N - T OW0 +CHIMERA CH IH0 - M EH1 - R AH0 +CHIMERINE CH IH1 - M ER0 - IY2 N +CHIMES CH AY1 M Z +CHIMICLES CH IH1 - M IH0 - K AH0 L Z +CHIMIE CH IH1 - M IY0 +CHIMNEY CH IH1 M - N IY0 +CHIMNEYS CH IH1 M - N IY0 Z +CHIMP CH IH1 M P +CHIMPANZEE CH IH0 M - P AE1 N - Z IY0 +CHIMPANZEES CH IH0 M - P AE1 N - Z IY0 Z +CHIMPS CH IH1 M P S +CHIN CH IH1 N +CHINA CH AY1 - N AH0 +CHINA'S CH AY1 - N AH0 Z +CHINATOWN CH AY1 - N AH0 - T AW2 N +CHINCHILLA CH IH0 N - CH IH1 - L AH0 +CHINEN CH IH1 - N AH0 N +CHINESE CH AY0 - N IY1 Z +CHING CH IH1 NG +CHINH CH IH1 N +CHINK CH IH1 NG K +CHINKS CH IH1 NG K S +CHINN CH IH1 N +CHINN'S CH IH1 N Z +CHINNICI K IY0 - N IY1 - CH IY0 +CHINNOCK CH IH1 - N AH0 K +CHINO CH IY1 - N OW0 +CHINOOK SH IH0 - N UH1 K +CHINOOK(2) CH IH2 - N UH1 K +CHINOOKS CH IH0 - N UH1 K S +CHINOOKS(2) SH IH2 - N UH1 K S +CHINOY CH IH1 - N OY2 +CHINTUNG CH IH1 N - T AH0 NG +CHINTZY CH IH1 N T - S IY0 +CHIODO K IY0 - OW1 - D OW0 +CHIP CH IH1 P +CHIP'S CH IH1 P S +CHIPBOARD CH IH1 P - B AO2 R D +CHIPCOM CH IH1 P - K AA2 M +CHIPCOM'S CH IH1 P - K AA2 M Z +CHIPELLO CH IH0 - P EH1 - L OW0 +CHIPETAS CH IH0 - P IY1 - T AH0 Z +CHIPLEY CH IH1 P - L IY0 +CHIPMAKER CH IH1 P - M EY2 - K ER0 +CHIPMAKERS CH IH1 P - M EY2 - K ER0 Z +CHIPMAN CH IH1 P - M AH0 N +CHIPOTE CH IH0 - P OW1 T +CHIPPED CH IH1 P T +CHIPPER CH IH1 - P ER0 +CHIPPEWA CH IH1 - P AH0 - W AA2 +CHIPPING CH IH1 - P IH0 NG +CHIPPS CH IH1 P S +CHIPPY CH IH1 - P IY0 +CHIPS CH IH1 P S +CHIPSOFT CH IH1 P - S AO2 F T +CHIQUITA K IH0 - K W IY1 - T AH0 +CHIQUITA(2) CH IH0 - K W IY1 - T AH0 +CHIQUITA(3) CH IH0 - K IY1 - T AH0 +CHIRAC SH IH0 - R AE1 K +CHIRAC'S SH IH0 - R AE1 K S +CHIRCO K IH1 R - K OW0 +CHIRICO K IH0 - R IY1 - K OW0 +CHIRON CH AY1 - R AH0 N +CHIRON'S CH AY1 - R AH0 N Z +CHIROPRACTIC K AY2 - R OW0 - P R AE1 K - T IH0 K +CHIROPRACTOR K AY1 - R AH0 - P R AE2 K - T ER0 +CHIROPRACTOR'S K AY1 - R OW0 - P R AE2 K - T ER0 Z +CHIROPRACTORS K AY1 - R AH0 - P R AE2 K - T ER0 Z +CHIRP CH ER1 P +CHIRPING CH ER1 - P IH0 NG +CHIRPS CH ER1 P S +CHIRPY CH ER1 - P IY0 +CHISAM CH IH1 - S AH0 M +CHISEL CH IH1 - Z AH0 L +CHISELED CH IH1 - Z AH0 L D +CHISELS CH IH1 - Z AH0 L Z +CHISENHALL CH IH0 - S EH1 N - HH AH0 L +CHISHOLM CH IH1 - Z AH0 M +CHISLER CH IH1 - S AH0 - L ER0 +CHISLER(2) CH IH1 S - L ER0 +CHISLER(3) CH IH1 Z - L ER0 +CHISM CH IH1 - Z AH0 M +CHISMAN CH IH1 S - M AH0 N +CHISMAR CH IH1 Z - M ER0 +CHISOLM CH IH1 - S OW0 M +CHISOM CH IH1 - S AH0 M +CHISSANO CH IH0 - S AA1 - N OW0 +CHISUM CH IH1 - Z AH0 M +CHIT CH IH1 T +CHITA CH IY1 - T AH0 +CHITCHAT CH IH1 T - CH AE2 T +CHITINOUS K AY1 - T AH0 - N AH0 S +CHITRA CH IH1 - T R AH0 +CHITRA'S CH IH1 - T R AH0 Z +CHITRAO CH IH1 - T R AW0 +CHITS CH IH1 T S +CHITTENDEN CH IH1 - T AH0 N - D AH0 N +CHITTICK CH IH1 - T IH0 K +CHITTUM CH IH1 - T AH0 M +CHITTY CH IH1 - T IY0 +CHITWOOD CH IH1 T - W UH2 D +CHIU CH UW1 +CHIUSANO K IY0 - UW0 - S AA1 - N OW0 +CHIVALRY SH IH1 - V AH0 L - R IY0 +CHIVAS CH IY1 - V AH0 S +CHIVAS(2) SH IY1 - V AH0 S +CHIVERS CH AY1 - V ER0 Z +CHIVES CH AY1 V Z +CHIYODA CH IH0 - Y OW1 - D AH0 +CHIZEK CH IH1 - Z EH0 K +CHIZMAR CH IH1 Z - M ER0 +CHLAMYDIA K L AE0 - M AY1 - D IY0 - AH0 +CHLAMYDIA(2) K L AE0 - M IH1 - D IY0 - AH0 +CHLEBOWSKI CH L IH0 - B AO1 F S - K IY0 +CHLEBOWSKI(2) K L IH0 - B AO1 F S - K IY0 +CHLOE K L OW1 - IY0 +CHLORATE K L AO1 - R EY0 T +CHLORDANE K L AO1 R - D EY2 N +CHLORIDE K L AO1 - R AY0 D +CHLORINATE K L AO1 - R AH0 - N EY2 T +CHLORINATED K L AO1 - R AH0 - N EY2 - T AH0 D +CHLORINATING K L AO1 - R AH0 - N EY2 - T IH0 NG +CHLORINE K L AO1 - R IY0 N +CHLORIS K L AO1 - R IH0 S +CHLOROFLUOROCARBON K L AO0 - R OW0 - F L AO2 - R OW0 - K AA1 R - B AA0 N +CHLOROFLUOROCARBONS K L AO1 - R OW0 - F L AO1 - R OW0 - K AA1 R - B AA0 N Z +CHLOROFORM K L AO1 - R AH0 - F AO2 R M +CHLOROPHYLL K L AO1 - R AH0 - F IH0 L +CHLOROPLAST K L AO1 - R AH0 - P L AE2 S T +CHLOROPLASTS K L AO1 - R AH0 - P L AE2 S T S +CHLOROPLASTS(2) K L AO1 - R AH0 - P L AE2 S S +CHLOROPLASTS(3) K L AO1 - R AH0 - P L AE2 S +CHLOROPRENE K L AO1 - R AH0 - P R IY2 N +CHMIEL CH AH0 - M IY1 L +CHMIELEWSKI CH AH0 - M AH0 - L EH1 F S - K IY0 +CHMIELEWSKI(2) CH AH0 - M AH0 - L UW1 S - K IY0 +CHMURA CH AH0 - M UH1 - R AH0 +CHO CH OW1 +CHOAT CH OW1 T +CHOATE CH OW1 T +CHOCK CH AA1 K +CHOCOLAT CH AA1 K - L AH0 T +CHOCOLATE CH AO1 K - L AH0 T +CHOCOLATES CH AO1 K - L AH0 T S +CHODOROW CH OW1 - D ER0 - OW0 +CHOE CH OW1 +CHOI CH OY1 +CHOICE CH OY1 S +CHOICER CH OY1 - S ER0 +CHOICERS CH OY1 - S ER0 Z +CHOICES CH OY1 - S AH0 Z +CHOICES(2) CH OY1 - S IH0 Z +CHOICEST CH OY1 - S AH0 S T +CHOINIERE SH OY1 - N IY0 - EH0 R +CHOINSKI CH OY1 N - S K IY0 +CHOIR K W AY1 - ER0 +CHOIRS K W AY1 R Z +CHOJNACKI CH AH0 Y - N AA1 T S - K IY0 +CHOJNOWSKI CH AH0 Y - N AO1 F S - K IY0 +CHOK CH AA1 K +CHOKE CH OW1 K +CHOKED CH OW1 K T +CHOKEHOLD CH OW1 K - HH OW2 L D +CHOKES CH OW1 K S +CHOKING CH OW1 - K IH0 NG +CHOLERA K AA1 - L ER0 - AH0 +CHOLERIC K AA1 - L ER0 - IH0 K +CHOLESTEROL K AH0 - L EH1 S - T ER0 - AO2 L +CHOLESTEROL(2) K AH0 - L EH1 - S T ER0 - AH0 L +CHOLESTYRAMINE CH OW0 - L EH1 - S T IH0 - R AH0 - M AY2 N +CHOLET CH OW1 - L AH0 T +CHOLEWA CH AH0 - L UW1 - AH0 +CHOLLA CH AA1 - L AH0 +CHOMA CH OW1 - M AH0 +CHOMP CH AA1 M P +CHOMPING CH AA1 M - P IH0 NG +CHON CH AA1 N +CHONG CH AO1 NG +CHONGQING CH AO1 NG - K IH1 NG +CHONKO CH AA1 NG - K OW0 +CHONTALES SH AA2 N - T EY1 L Z +CHOO CH UW1 +CHOON CH UW1 N +CHOONG CH UW1 NG +CHOOSE CH UW1 Z +CHOOSES CH UW1 - Z AH0 Z +CHOOSES(2) CH UW1 - Z IH0 Z +CHOOSING CH UW1 - Z IH0 NG +CHOOSY CH UW1 - Z IY0 +CHOP CH AA1 P +CHOP-SUEY CH AA1 P - S UW1 - IY0 +CHOPER CH OW1 - P ER0 +CHOPIN SH OW1 - P AE0 N +CHOPLIN CH AA1 P - L IH0 N +CHOPP CH AA1 P +CHOPPED CH AA1 P T +CHOPPER CH AA1 - P ER0 +CHOPPER'S CH AA1 - P ER0 Z +CHOPPERS CH AA1 - P ER0 Z +CHOPPING CH AA1 - P IH0 NG +CHOPPY CH AA1 - P IY0 +CHOPRA CH AA1 - P R AH0 +CHOPS CH AA1 P S +CHOPSTICK CH AA1 P - S T IH2 K +CHOPSTICKS CH AA1 P - S T IH2 K S +CHOPSUEY CH AA1 P - S UW1 - IY0 +CHOQUETTE SH AH0 - K EH1 T +CHORAL K AO1 - R AH0 L +CHORALS K AO1 - R AH0 L Z +CHORBA K AO1 R - B AH0 +CHORD K AO1 R D +CHORDATES K AO1 R - D EY2 T S +CHORDS K AO1 R D Z +CHORE CH AO1 R +CHOREOGRAPH K AO1 - R IY0 - AH0 - G R AE2 F +CHOREOGRAPHED K AO1 - R IY0 - AH0 - G R AE2 F T +CHOREOGRAPHER K AO2 - R IY0 - AA1 - G R AH0 - F ER0 +CHOREOGRAPHER'S K AO2 - R IY0 - AA1 - G R AH0 - F ER0 Z +CHOREOGRAPHERS K AO2 - R IY0 - AA1 - G R AH0 - F ER0 Z +CHOREOGRAPHIC K AO2 - R IY0 - AH0 - G R AE1 - F IH0 K +CHOREOGRAPHING K AO2 - R IY0 - AA1 - G R AH0 - F IH0 NG +CHOREOGRAPHING(2) K AO1 - R IY0 - AH0 - G R AE2 - F IH0 NG +CHOREOGRAPHY K AO2 - R IY0 - AA1 - G R AH0 - F IY0 +CHORES CH AO1 R Z +CHORIC K AO1 - R IH0 K +CHORNEY K AO1 R - N IY0 +CHORTLE CH AO1 R - T AH0 L +CHORTLED CH AO1 R - T AH0 L D +CHORTLES CH AO1 R - T AH0 L Z +CHORTLING CH AO1 R - T AH0 L - IH0 NG +CHORTLING(2) CH AO1 R T - L IH0 NG +CHORUS K AO1 - R AH0 S +CHORUSES K AO1 - R AH0 - S IH0 Z +CHOSE CH OW1 Z +CHOSEN CH OW1 - Z AH0 N +CHOSUN CH OW1 - Z AH0 N +CHOTILLA CH AH0 - T IH1 - L AH0 +CHOU CH UW1 +CHOUINARD SH W IY0 - N AA1 R D +CHOVAN CH OW1 - V AH0 N +CHOVANEC CH AH0 - V AE1 - N IH0 K +CHOW CH AW1 +CHOWDER CH AW1 - D ER0 +CHOWDHURY CH AW1 D - HH Y UW0 - R IY0 +CHOWNING CH AW1 - N IH0 NG +CHOWS CH AW1 Z +CHOY CH OY1 +CHOYCE CH OY1 S +CHREST K R EH1 S T +CHRESTMAN K R EH1 S T - M AH0 N +CHRETIEN SH R IH0 - T IY1 N +CHRIBONIKO CH R IY2 - B OW0 - N IY1 - K OW0 +CHRIBONIKO'S CH R IY2 - B OW0 - N IY1 - K OW0 Z +CHRIBONIKO'S(2) CH R IH2 - B AH0 - N IY1 - K OW0 Z +CHRIBONIKO(2) CH R IH2 - B AH0 - N IY1 - K OW0 +CHRIPTOSPORIDIUM K R IH2 P - T OW0 - S P AO0 - R IH1 - D IY0 - AH0 M +CHRIS K R IH1 S +CHRIS' K R IH1 S +CHRISCO K R IY1 - S K OW0 +CHRISCOE K R IH1 - S K OW0 +CHRISMAN K R IH1 S - M AH0 N +CHRISMER K ER1 - IH0 - Z AH0 - M ER0 +CHRISMER(2) K R IH1 S - M ER0 +CHRISMON K R IH1 Z - M AH0 N +CHRISP K R IH1 S P +CHRISS K R IH1 S +CHRISSIE K R IH1 - S IY0 +CHRISSY K R IH1 - S IY0 +CHRIST K R AY1 S T +CHRIST'S K R AY1 S T S +CHRISTA K R IH1 - S T AH0 +CHRISTABELLE SH R IH1 - S T AH0 - B AH0 L +CHRISTAKOS K R IH1 - S T AH0 - K OW0 Z +CHRISTAL K R IH1 - S T AH0 L +CHRISTCHURCH K R AY1 S T - CH ER0 CH +CHRISTEL K R IH1 - S T AH0 L +CHRISTEN K R IH1 - S AH0 N +CHRISTENBERRY K R IH1 - S AH0 N - B EH2 - R IY0 +CHRISTENBURY K R IH1 - S AH0 N - B EH2 - R IY0 +CHRISTENDOM K R IH1 - S AH0 N - D AH0 M +CHRISTENED K R IH1 - S AH0 N D +CHRISTENING K R IH1 - S AH0 N - IH0 NG +CHRISTENING(2) K R IH1 S - N IH0 NG +CHRISTENSEN K R IH1 - S T AH0 N - S AH0 N +CHRISTENSON K R IH1 - S T IH0 N - S AH0 N +CHRISTESON K R IH1 - S T IH0 - S AH0 N +CHRISTI K R IH1 - S T IY0 +CHRISTIAAN K R IH1 - S T IY0 - AA2 N +CHRISTIAN K R IH1 S - CH AH0 N +CHRISTIAN(2) K R IH1 S - CH IH0 N +CHRISTIANA K R IH2 - S T IY0 - AE1 - N AH0 +CHRISTIANE K R IH0 - S T IY0 - AA1 N +CHRISTIANITY K R IH2 - S CH IY0 - AE1 - N IH0 - T IY0 +CHRISTIANIZATION K R IH2 S - CH AH0 - N AH0 - Z EY1 - SH AH0 N +CHRISTIANIZE K R IH1 S - CH AH0 - N AY2 Z +CHRISTIANIZED K R IH1 S - CH AH0 - N AY2 Z D +CHRISTIANNA K R IH2 - S T IY0 - AE1 - N AH0 +CHRISTIANNE K R IH0 - S T IY0 - AA1 N +CHRISTIANO K R IY0 - S T IY0 - AA1 - N OW0 +CHRISTIANS K R IH1 S - CH AH0 N Z +CHRISTIANS(2) K R IH1 S - CH IH0 N Z +CHRISTIANSEN K R IH1 S - CH AH0 N - S AH0 N +CHRISTIANSON K R IH1 S - CH AH0 N - S AH0 N +CHRISTIC K R IH1 - S T IH0 K +CHRISTIE K R IH1 - S T IY0 +CHRISTIE'S K R IH1 - S T IY0 Z +CHRISTIES K R IH1 - S T IY0 Z +CHRISTINA K R IH0 - S T IY1 - N AH0 +CHRISTINE K R IH0 - S T IY1 N +CHRISTINE'S K R IH0 - S T IY1 N Z +CHRISTISON K R IH1 - S T IH0 - S AH0 N +CHRISTLIEB K R IH1 S T - L IY2 B +CHRISTMAN K R IH1 S T - M AH0 N +CHRISTMAN'S K R IH1 S T - M AH0 N Z +CHRISTMANN K R IH1 S T - M AH0 N +CHRISTMAS K R IH1 S - M AH0 S +CHRISTMAS' K R IH1 S - M AH0 S +CHRISTMASES K R IH1 S - M AH0 - S IH0 Z +CHRISTMASTIME K R IH1 S T - M AH0 S - T AY2 M +CHRISTNER K R IH1 S T - N ER0 +CHRISTO K R IH1 - S T OW0 +CHRISTOFF K R IH1 S T - AO0 F +CHRISTOFFEL K R IH1 - S T AH0 - F EH0 L +CHRISTOFFERSEN K R IH0 - S T AH0 - F ER1 - S AH0 N +CHRISTOFFERSEN(2) K R IH0 S T - AA1 - F ER0 - S AH0 N +CHRISTOFFERSON K R IH0 S T - AA1 - F ER0 - S AH0 N +CHRISTON K R IH1 - S T AH0 N +CHRISTOPH K R IH1 S T - AO0 F +CHRISTOPHE K R IH0 - S T R AO1 F +CHRISTOPHEL K R IH1 - S T AH0 - F EH0 L +CHRISTOPHER K R IH1 - S T AH0 - F ER0 +CHRISTOPHER'S K R IH1 - S T AH0 - F ER0 Z +CHRISTOPHERSEN K R IH0 - S T AH0 - F ER1 - S AH0 N +CHRISTOPHERSON K R IH0 S T - AA1 - F ER0 - S AH0 N +CHRISTOPOULOS K R IH0 - S T AA1 - P AH0 - L IH0 S +CHRISTY K R IH1 - S T IY0 +CHRISTY'S K R IH1 - S T IY0 Z +CHRISWELL K R IH1 - S W EH2 L +CHROBAK K R OW1 - B AH0 K +CHROMAKALIM CH R OW2 - M AH0 - K AA2 - L IY1 M +CHROMALLOY K R OW0 - M AE1 - L OY0 +CHROMATOGRAM K R OW0 - M AE1 - T AH0 - G R AE0 M +CHROMATOGRAMS K R OW0 - M AE1 - T AH0 - G R AE0 M Z +CHROMATOGRAPHY K R OW0 - M AH0 - T AA1 - G R AH0 - F IY0 +CHROME K R OW1 M +CHROMINANCE K R OW1 - M AH0 - N AH0 N S +CHROMIUM K R OW1 - M IY0 - AH0 M +CHROMOSOME K R OW1 - M AH0 - S OW2 M +CHROMOSOME(2) K R OW1 - M AH0 - Z OW2 M +CHROMOSOMES K R OW1 - M AH0 - Z OW2 M Z +CHROMOSOMES(2) K R OW1 - M AH0 - S OW2 M Z +CHRONAR K R AA1 - N ER0 +CHRONIC K R AA1 - N IH0 K +CHRONICALLY K R AA1 - N IH0 - K AH0 - L IY0 +CHRONICALLY(2) K R AA1 - N IH0 K - L IY0 +CHRONICLE K R AA1 - N IH0 - K AH0 L +CHRONICLE'S K R AA1 - N IH0 - K AH0 L Z +CHRONICLE(2) K R AA1 - N IH0 - K AH0 L +CHRONICLED K R AA1 - N IH0 - K AH0 L D +CHRONICLER K R AA1 - N IH0 - K L ER0 +CHRONICLERS K R AA1 - N IH0 - K L ER0 Z +CHRONICLES K R AA1 - N IH0 - K AH0 L Z +CHRONICLES(2) K R AA1 - N IH0 - K AH0 L Z +CHRONICLING K R AA1 - N IH0 - K L IH0 NG +CHRONIS K R OW1 - N IH0 S +CHRONISTER K R AA1 - N IH0 - S T ER0 +CHRONOLOGICAL K R AA2 - N AH0 - L AA1 - JH IH0 - K AH0 L +CHRONOLOGICALLY K R AA2 - N AH0 - L AA1 - JH IH0 K - L IY0 +CHRONOLOGIES K R AH0 - N AA1 - L AH0 - JH IY0 Z +CHRONOLOGY K R AH0 - N AA1 - L AH0 - JH IY0 +CHRONOWITZ K R AA1 - N AH0 - W IH0 T S +CHROSTOWSKI K R AH0 S T - AO1 F S - K IY0 +CHRUSCIEL K R AH1 - S IY2 L +CHRYSANTHEMUM K R IH0 - S AE1 N - TH AH0 - M AH0 M +CHRYSANTHEMUMS K R IH0 - S AE1 N - TH AH0 - M AH0 M Z +CHRYSEIS K R IH1 - S AH0 Z +CHRYSLER K R AY1 S - L ER0 +CHRYSLER'S K R AY1 S - L ER0 Z +CHRYSLERS K R AY1 S - L ER0 Z +CHRYST CH R IH1 S T +CHRYSTAL K R IH1 - S T AH0 L +CHRZAN K ER1 - Z AE2 N +CHRZANOWSKI K ER2 - Z AH0 N - AO1 F S - K IY0 +CHSEING CH EY1 NG +CHU CH UW1 +CHUA K UW1 - AH0 +CHUA(2) K W AA1 +CHUAH CH UW1 - AA0 +CHUAN CH UW2 - AA1 N +CHUANG CH AE1 NG +CHUANG(2) CH W AA1 NG +CHUBA CH UW1 - B AH0 +CHUBAIS CH UW2 - B AY1 +CHUBB CH AH1 B +CHUBB'S CH AH1 B Z +CHUBBUCK CH AH1 - B AH0 K +CHUBBY CH AH1 - B IY0 +CHUBU CH UW1 - B UW0 +CHUCK CH AH1 K +CHUCK'S CH AH1 K S +CHUCK-A-LUCK CH AH1 - K AH0 - L AH1 K +CHUCKED CH AH1 K T +CHUCKIE CH AH1 - K IY0 +CHUCKING CH AH1 - K IH0 NG +CHUCKLE CH AH1 - K AH0 L +CHUCKLED CH AH1 - K AH0 L D +CHUCKLES CH AH1 - K AH0 L Z +CHUCKLING CH AH1 - K L IH0 NG +CHUDLER CH AH1 D - L ER0 +CHUDY CH UW1 - D IY0 +CHUDZIK CH AH1 D - Z IH0 K +CHUDZINSKI CH AH0 - JH IH1 N - S K IY0 +CHUG CH AH1 G +CHUGAI CH UW0 - G AY1 +CHUGGED CH AH1 G D +CHUGGING CH AH1 - G IH0 NG +CHUGOKU CH UW0 - G OW1 - K UW2 +CHUI K UW1 - 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IH1 - L AH0 +CHURKIN CH ER1 - K AH0 N +CHURKIN'S CH ER1 - K AH0 N Z +CHURLISH CH ER1 - L IH0 SH +CHURN CH ER1 N +CHURNED CH ER1 N D +CHURNING CH ER1 - N IH0 NG +CHURNS CH ER1 N Z +CHURRY CH ER1 - IY0 +CHUSE CH Y UW1 Z +CHUSE(2) CH UW1 Z +CHUSMIR CH UH0 S - M IH1 R +CHUSTZ CH AH1 S T S +CHUTE SH UW1 T +CHUTES SH UW1 T S +CHUTNEY CH AH1 T - N IY0 +CHUTZPAH CH AH1 T - S P AA2 +CHUTZPAH(2) HH UH1 T - S P AA2 +CHYKATKA CH IY0 - K AA1 T - K AH0 +CHYNOWETH CH IH1 - N AW0 - EH0 TH +CHYRON CH AY1 - R AH0 N +CHYRON'S CH AY1 - R AH0 N Z +CIA S IY1 - AH0 +CIACCIA CH IY0 - AH0 - CH IY1 - AH0 +CIACCIA(2) S IY0 - AH0 - S IY1 - AH0 +CIACCIO CH AO1 - CH IY0 - OW0 +CIAMPA CH AO1 M - P AH0 +CIAMPI CH AO1 M - P IY0 +CIAN SH IY1 N +CIANCI CH AO1 N - CH IY0 +CIANCIO CH AO1 N - CH IY0 - OW0 +CIANCIOLA CH AO1 N - CH OW0 - L AH0 +CIANCIOLO CH AO1 N - CH OW0 - L OW0 +CIANCIULLI CH AO1 N - CH UW0 - L IY0 +CIANI CH AO1 - N IY0 +CIANO CH IY0 - AA1 - N OW0 +CIAOBELLA CH AW2 - B EH1 - L AH0 +CIARAMELLA CH ER0 - AA0 - M EH1 - L AH0 +CIARAMITARO CH ER1 - AA0 - M IY0 - T AA0 - R OW0 +CIARAVINO CH ER0 - AA0 - V IY1 - N OW0 +CIARDI CH ER1 - D IY0 +CIARLO CH ER1 - L OW0 +CIAVARELLA CH AH0 - V AA0 - R EH1 - L AH0 +CIBA S IY1 - B AH0 +CIBA'S S IY1 - B AH0 Z +CIBA'S(2) S AY1 - B AH0 Z +CIBA(2) S AY1 - B AH0 +CIBOROWSKI CH IH0 - B ER0 - AO1 F S - K IY0 +CIBRO S IH1 - B R OW0 +CIBULA CH IY0 - B UW1 - L AH0 +CICADA S AH0 - K EY1 - D AH0 +CICADAS S IH0 - K EY1 - D AH0 Z +CICALA S IH0 - K AA1 - L AH0 +CICALESE CH IY0 - K AA0 - L EY1 - Z IY0 +CICCARELLI CH IY0 - K ER0 - EH1 - L IY0 +CICCARELLO CH IY0 - K ER0 - EH1 - L OW0 +CICCARONE S IH1 - K ER0 - OW2 N +CICCO S IH1 - K OW0 +CICCONE CH IY0 - K OW1 - N IY0 +CICELY S IH1 - S AH0 - L IY0 +CICERO S IH1 - S ER0 - OW2 +CICERONE S IH1 - S ER0 - OW2 N +CICHOCKI S IH0 - CH AA1 - K IY0 +CICHON S IH1 - CH AH0 N +CICHOWSKI CH IH0 - HH AO1 F S - K IY0 +CICHY S IH1 - CH IY0 +CICILY CH IH1 - CH AH0 - L IY0 +CICIO S IH1 - S IY0 - OW0 +CICIPPIO S IH0 - S IH1 - P IY0 - OW0 +CID S IH1 D +CIDER S AY1 - D ER0 +CIE S IY1 +CIE(2) S IY1 - AY1 - IY1 +CIEL S IY1 L +CIERA S IY1 - R AH0 +CIERI S IY1 - R IY0 +CIESIELSKI CH EH0 - S IY1 L S - K IY0 +CIESLA CH EH1 S - L AH0 +CIESLAK CH EH1 S - L AH0 K +CIESLEWICZ CH EH1 S - L IH0 - V IH0 CH +CIESLIK CH EH1 S - L IH0 K +CIESLINSKI CH EH0 S - L IH1 N - S K IY0 +CIFELLI S IH0 - F EH1 - L IY0 +CIFRA S IH1 - F R AH0 +CIFUENTES S IY0 F - W EH1 N - T EH0 S +CIGA S IY1 - G AH0 +CIGAR S IH0 - G AA1 R +CIGARETTE S IH2 - G ER0 - EH1 T +CIGARETTE'S S IH2 - G ER0 - EH1 T S +CIGARETTES S IH2 - G ER0 - EH1 T S +CIGARS S IH0 - G AA1 R Z +CIGNA S IH1 G - N AH0 +CIGNA'S S IH1 G - N AH0 Z +CIHAK S IH1 - HH AH0 K +CIHLAR S IH1 - L ER0 +CILAG S IH1 - L AE0 G +CILANTRO S IH0 - L AE1 N - T R OW0 +CILCORP S IH1 L - K AO0 R P +CILENTO S IH0 - L EH1 N - T OW0 +CILIATES S IH1 - L IY0 - AH0 T S +CILIBERTO CH IY0 - L IY0 - B EH1 R - T OW0 +CILICIA S IH0 - L IH1 - SH AH0 +CILLER S IH1 - L ER0 +CILLEY S IH1 - L IY0 +CILLO S IH1 - L OW0 +CILLUFFO S IH0 - L UW1 - F OW0 +CILVA S IH1 L - V AH0 +CIMA CH IY1 - M AH0 +CIMAGLIA S IH0 - M AE1 - G L IY0 - AH0 +CIMARRON S IH1 - M ER0 - AA2 N +CIMENTS S IH0 - M EH1 N T S +CIMINERO S IY2 - M IH0 - N EH1 - R OW0 +CIMINI CH IY0 - M IY1 - N IY0 +CIMINO CH IY0 - M IY1 - N OW0 +CIMMINO CH IY0 - M IY1 - N OW0 +CIMO CH IY1 - M OW0 +CIMORELLI CH IY0 - M AO0 - R EH1 - L IY0 +CINA CH IY1 - N AH0 +CINCH S IH1 N CH +CINCHED S IH1 N CH T +CINCINNATI S IH2 N - S AH0 - N AE1 - T IY0 +CINCINNATI'S S IH2 N - S IH0 - N AE1 - T IY0 Z +CINCO S IH1 NG - K OW0 +CINCOTTA CH IY0 N - K OW1 - T AH0 +CINDER S IH1 N - D ER0 +CINDERELLA S IH2 N - D ER0 - EH1 - L AH0 +CINDERS S IH1 N - D ER0 Z +CINDIE S AY1 N - D IY0 +CINDRIC S IH1 N - D R IH0 K +CINDY S IH1 N - D IY0 +CINDY'S S IH1 N - D IY0 Z +CINELLI S IH0 - N EH1 - L IY0 +CINEMA S IH1 - N AH0 - M AH0 +CINEMA'S S IH1 - N AH0 - M AH0 Z +CINEMARK S IH1 - N AH0 - M AA2 K +CINEMAS S IH1 - N AH0 - M AH0 Z +CINEMATIC S IH2 - N AH0 - M AE1 - T IH0 K +CINEMATOGRAPHER S IH2 - N IH0 - M AH0 - T AA1 - G R AH0 - F ER0 +CINEMATOGRAPHY S IH2 - N IH0 - M AH0 - T AA1 - G R AH0 - F IY0 +CINEMAX S IH1 - N AH0 - M AE0 K S +CINEPLEX S IH1 - N AH0 - P L EH2 K S +CINEPLEX'S S IH1 - N AH0 - P L EH2 K - S IH0 Z +CINERGY S IH1 - N ER0 - JH IY0 +CINI CH IY1 - N IY0 +CINNABAR S IH1 - N AH0 - B AA2 R +CINNABON S IH1 - N AH0 - B AO2 N +CINNAMINSON S IH1 - N AH0 - M IH0 N - S AH0 N +CINNAMON S IH1 - N AH0 - M AH0 N +CINNAMONSON S IH1 - N AH0 - M AH0 N - S AH0 N +CINO CH IY1 - N OW0 +CINQ S IH1 NG K +CINQUE S IH1 NG K +CINQUEMANI CH IY0 N - K W EH0 - M AA1 - N IY0 +CINRAM S IH1 N - R AE0 M +CINTHIE S IH1 N - TH IY0 +CINTRON S IH1 N - T R AH0 N +CIOCCA CH OW1 - K AH0 +CIOFFI CH IY0 - OW1 - F IY0 +CIOLEK CH IY0 - OW1 - L EH0 K +CIOLINO CH OW0 - L IY1 - N OW0 +CIOTTI CH OW1 - T IY0 +CIPHER S AY1 - F ER0 +CIPOLLA S IH0 - P AA1 - L AH0 +CIPOLLONE S IH2 - P AH0 - L OW1 N +CIPOLLONE(2) S IH2 - P AH0 - L OW1 - N IY0 +CIPRI S IH1 - P R IY0 +CIPRIANI CH IY0 - P R IY0 - AA1 - N IY0 +CIPRIANO CH IY0 - P R IY0 - AA1 - N OW0 +CIRA S ER1 - AH0 +CIRAULO S ER0 - AO1 - L OW0 +CIRCA S ER1 - K AH0 +CIRCADIAN S ER0 - K EY1 - D IY0 - AH0 N +CIRCLE S ER1 - K AH0 L +CIRCLE'S S ER1 - K AH0 L Z +CIRCLED S ER1 - K AH0 L D +CIRCLES S ER1 - K AH0 L Z +CIRCLING S ER1 - K AH0 L - IH0 NG +CIRCLING(2) S ER1 - K L IH0 NG +CIRCON S ER1 - K AA0 N +CIRCUIT S ER1 - K AH0 T +CIRCUIT'S S ER1 - K AH0 T S +CIRCUITED S ER1 - K AH0 - T IH0 D +CIRCUITOUS S ER0 - K Y UW1 - IH0 - T AH0 S +CIRCUITRY S ER1 - K AH0 - T R IY0 +CIRCUITS S ER1 - K AH0 T S +CIRCULAR S ER1 - K Y AH0 - L ER0 +CIRCULARLY S ER1 - K Y AH0 - L ER0 - L IY0 +CIRCULARS S ER1 - K Y AH0 - L ER0 Z +CIRCULATE S ER1 - K Y AH0 - L EY2 T +CIRCULATED S ER1 - K Y AH0 - L EY2 - T AH0 D +CIRCULATED(2) S ER1 - K Y AH0 - L EY2 - T IH0 D +CIRCULATES S ER1 - K Y AH0 - L EY2 T S +CIRCULATING S ER1 - K Y AH0 - L EY2 - T IH0 NG +CIRCULATION S ER1 - K Y AH0 - L EY2 - SH AH0 N +CIRCULATIONS S ER2 - K Y AH0 - L EY1 - SH AH0 N Z +CIRCULATORY S ER1 - K Y AH0 - L AH0 - T AO2 - R IY0 +CIRCUMCISE S ER1 - K AH0 M - S AY2 Z +CIRCUMCISED S ER1 - K AH0 M - S AY2 Z D +CIRCUMCISION S ER2 - K AH0 M - S IH1 - ZH AH0 N +CIRCUMFERENCE S ER0 - K AH1 M - F R AH0 N S +CIRCUMSCRIBE S ER2 - K AH0 M - S K R AY1 B +CIRCUMSCRIBED S ER2 - K AH0 M - S K R AY1 B D +CIRCUMSPECT S ER1 - K AH0 M - S P EH2 K T +CIRCUMSPECTION S ER2 - K AH0 M - S P EH1 K - SH AH0 N +CIRCUMSTANCE S ER1 - K AH0 M - S T AE2 N S +CIRCUMSTANCES S ER1 - K AH0 M - S T AE2 N - S AH0 Z +CIRCUMSTANCES(2) S ER1 - K AH0 M - S T AE2 N - S IH0 Z +CIRCUMSTANTIAL S ER2 - K AH0 M - S T AE1 N - CH AH0 L +CIRCUMSTANTIAL(2) S ER2 - K AH0 M - S T AE1 N - SH AH0 L +CIRCUMSTANTIALLY S ER2 - K AH0 M - S T AE1 N - CH AH0 - L IY0 +CIRCUMSTANTIALLY(2) S ER2 - K AH0 M - S T AE1 N - SH AH0 - L IY0 +CIRCUMVENE S ER2 - K AH0 M - V IY1 N +CIRCUMVENT S ER2 - K AH0 M - V EH1 N T +CIRCUMVENTED S ER2 - K AH0 M - V EH1 N - T IH0 D +CIRCUMVENTING S ER2 - K AH0 M - V EH1 N - T IH0 NG +CIRCUMVENTION S ER2 - K AH0 M - V EH1 N - CH AH0 N +CIRCUMVENTS S ER2 - K AH0 M - V EH1 N T S +CIRCUS S ER1 - K AH0 S +CIRCUS'S S ER1 - K AH0 - S IH0 Z +CIRCUSES S ER1 - K AH0 - S AH0 Z +CIRELLI S IH0 - R EH1 - L IY0 +CIRESI S ER0 - EH1 - S IY0 +CIRIACO S IH2 - R IY0 - AA1 - K OW0 +CIRIELLO S ER0 - IY0 - EH1 - L OW0 +CIRIGLIANO S ER0 - IY0 - G L IY0 - AA1 - N OW0 +CIRILLO S IH0 - R IH1 - L OW0 +CIRINCIONE S ER0 - IY0 N - CH OW1 - N IY0 +CIRINO S ER0 - IY1 - N OW0 +CIRKIN S ER1 - K IH0 N +CIRONE S IH0 - R OW1 N +CIROS S IH1 - R OW2 Z +CIRQUE S ER1 K +CIRRHOSIS S ER0 - OW1 - S AH0 S +CIRRINCIONE S ER0 - R IY0 N - CH OW1 - N IY0 +CIRRUS S IH1 - R AH0 S +CISAR S IH0 - S AA1 R +CISCO S IH1 - S K OW0 +CISCO'S S IH1 - S K OW0 Z +CISEK CH IH1 - S EH0 K +CISEWSKI CH IH0 - S EH1 F S - K IY0 +CISKEI S IH0 - S K EY1 +CISLER S IH1 - S AH0 - L ER0 +CISLER(2) S IH1 S - L ER0 +CISLO CH IY1 S - L OW0 +CISNEROS S IH0 S - N EH1 - R OW0 S +CISNEY S IH1 Z - N IY0 +CISSELL S IH1 - S AH0 L +CISSIE S IH1 - S IY0 +CISSNA S IH1 S - N AH0 +CIST S IH1 S T +CISTERCIAN S IH0 - S T ER1 - SH AH0 N +CISTERN S IH1 - S T ER0 N +CISTERNS S IH1 - S T ER0 N Z +CISZEK CH IH1 - SH EH0 K +CISZEWSKI CH IH0 - SH EH1 F S - K IY0 +CITADEL S IH1 - T AH0 - D EH2 L +CITADEL'S S IH1 - T AH0 - D EH2 L Z +CITATION S AY0 - T EY1 - SH AH0 N +CITATIONS S AY0 - T EY1 - SH AH0 N Z +CITE S AY1 T +CITED S AY1 - T AH0 D +CITED(2) S AY1 - T IH0 D +CITES S AY1 T S +CITGO S IH1 T - G OW0 +CITI S IH1 - T IY0 +CITIBANK S IH1 - T IY0 - B AE2 NG K +CITIBANK'S S IH1 - T IY0 - B AE2 NG K S +CITIC S IH1 - T IH0 K +CITICORP S IH1 - T IY0 - K AO2 R P +CITICORP'S S IH1 - T IY0 - K AO2 R P S +CITICORPS S IH1 - T IY0 - K AO2 R P S +CITICORPS' S IH1 - T IY0 - K AO2 R P S +CITIES S IH1 - T IY0 Z +CITIES' S IH1 - T IY0 Z +CITING S AY1 - T IH0 NG +CITISTEEL S IH1 - T IY0 - S T IY2 L +CITIZEN S IH1 - T AH0 - Z AH0 N +CITIZEN'S S IH1 - T AH0 - Z AH0 N Z +CITIZEN(2) S IH1 - T IH0 - Z AH0 N +CITIZENRY S IH1 - T IH0 - Z AH0 N - R IY0 +CITIZENS S IH1 - T AH0 - Z AH0 N Z +CITIZENS' S IH1 - T IH0 - Z AH0 N Z +CITIZENS(2) S IH1 - T IH0 - Z AH0 N Z +CITIZENSHIP S IH1 - T IH0 - Z AH0 N - SH IH2 P +CITRANO CH IY0 - T R AA1 - N OW0 +CITRIC S IH1 - T R IH0 K +CITRIN S IH1 - T R IH0 N +CITRINE S IH2 - T R IY1 N +CITRO S IH1 - T R OW0 +CITROEN S IH1 - T R OW0 N +CITRON S IH1 - T R AH0 N +CITRON'S S IH1 - T R AH0 N Z +CITRON'S(2) S IH1 - T R AA0 N Z +CITRON(2) S IH1 - T R AH0 N Z +CITRONELLA S IH2 - T R AA0 - N EH1 - L AH0 +CITROSUCO S IH2 - T R AH0 - S UW1 - K OW0 +CITRUCEL S IH1 - T R AH0 - S EH2 L +CITRUCEL'S S IH1 - T R AH0 - S EH2 L Z +CITRUS S IH1 - T R AH0 S +CITRUS'S S IH1 - T R AH0 - S AH0 Z +CITRUS'S(2) S IH1 - T R AH0 - S IH0 Z +CITTADINO CH IY0 - T AA0 - D IY1 - N OW0 +CITY S IH1 - T IY0 +CITY'S S IH1 - T IY0 Z +CITYFED S IH1 - T IY0 - F EH2 D +CITYPLACE S IH1 - T IY0 - P L EY2 S +CITYSIDE S IH1 - T IY0 - S AY2 D +CITYTRUST S IH1 - T IY0 - T R AH2 S T +CITYWIDE S IH1 - T IY0 - W AY2 D +CIUCCI CH UW1 - CH IY0 +CIUDAD S IY2 - UW0 - D AE1 D +CIULLA CH UW1 - L AH0 +CIULLO CH UW1 - L OW0 +CIVET S IH1 - V AH0 T +CIVIC S IH1 - V IH0 K +CIVICS S IH1 - V IH0 K S +CIVIL S IH1 - V AH0 L +CIVILETTI S IY2 - V IH0 - L EH1 - T IY0 +CIVILIAN S AH0 - V IH1 L - Y AH0 N +CIVILIANS S AH0 - V IH1 L - Y AH0 N Z +CIVILITY S AH0 - V IH1 - L AH0 - T IY0 +CIVILIZATION S IH2 - V AH0 - L IH0 - Z EY1 - SH AH0 N +CIVILIZATIONS S IH2 - V AH0 - L IH0 - Z EY1 - SH AH0 N Z +CIVILIZE S IH1 - V AH0 - L AY2 Z +CIVILIZED S IH1 - V AH0 - L AY2 Z D +CIVILLY S IH1 - V IH0 - L IY0 +CIVITELLO CH IY0 - V IY0 - T EH1 - L OW0 +CIZEK CH IH1 - Z EH0 K +CIZIK S IY1 - Z IH0 K +CIZNEROS S IH2 Z - N EH1 - R OW0 S +CLAAR K L AA1 R +CLAASSEN K L AA1 - S AH0 N +CLABAUGH K L AE1 - B AO0 +CLABIR K L AE1 - B IH0 R +CLABO K L AA1 - B OW0 +CLABORN K L AE1 - B ER0 N +CLABOUGH K L AE1 - B AW0 +CLACK K L AE1 K +CLACKAMAS K L AE1 - K AH0 - M AH0 S +CLAD K L AE1 D +CLADDAGH K L AE1 - D AH2 +CLAES K L EY1 Z +CLAEYS K L EY1 Z +CLAFFEY K L AE1 - F IY0 +CLAFLIN K L AE1 F - L IH0 N +CLAGETT K L AE1 - JH IH0 T +CLAGG K L AE1 G +CLAGGETT K L AE1 - G IH0 T +CLAGUE K L AA1 G +CLAIBORN K L EY1 - B ER0 N +CLAIBORNE K L EY1 - B ER0 N +CLAIBORNE'S K L EY1 - B AO0 R N Z +CLAIBORNE'S(2) K L EY1 - B ER0 N Z +CLAIM K L EY1 M +CLAIMANT K L EY1 - M AH0 N T +CLAIMANTS K L EY1 - M AH0 N T S +CLAIMANTS' K L EY1 - M AH0 N T S +CLAIMED K L EY1 M D +CLAIMING K L EY1 - M IH0 NG +CLAIMS K L EY1 M Z +CLAIR K L EH1 R +CLAIRE K L EH1 R +CLAIRE'S K L EH1 R Z +CLAIRMONT K L EH1 R - M AH0 N T +CLAIROL K L EH1 - R AA0 L +CLAIRSON K L EH1 R - S AH0 N +CLAIRVOYANCE K L EH0 R - V OY1 - AH0 N S +CLAIRVOYANT K L EH0 R - V OY1 - AH0 N T +CLAM K L AE1 M +CLAMBER K L AE1 M - B ER0 +CLAMBERED K L AE1 M - B ER0 D +CLAMEN K L EY1 - M AH0 N +CLAMMY K L AE1 - M IY0 +CLAMOR K L AE1 - M ER0 +CLAMORED K L AE1 - M ER0 D +CLAMORING K L AE1 - M ER0 - IH0 NG +CLAMP K L AE1 M P +CLAMPDOWN K L AE1 M P - D AW2 N +CLAMPED K L AE1 M P T +CLAMPING K L AE1 M - P IH0 NG +CLAMPITT K L AH0 M - P IH1 T +CLAMPS K L AE1 M P S +CLAMS K L AE1 M Z +CLAMSHELL K L AE1 M - SH EH2 L +CLAN K L AE1 N +CLANCEY K L AE1 N - S IY0 +CLANCY K L AE1 N - S IY0 +CLANCY'S K L AE1 N - S IY0 Z +CLANDESTINE K L AE0 N - D EH1 - S T IH0 N +CLANDESTINELY K L AE0 N - D EH1 - S T AH0 N - L IY0 +CLANG K L AE1 NG +CLANGING K L AE1 - NG IH0 NG +CLANIN K L AE1 - N IH0 N +CLANK K L AE1 NG K +CLANKING K L AE1 NG - K IH0 NG +CLANNISH K L AE1 - N IH0 SH +CLANS K L AE1 N Z +CLANTON K L AE1 N - T AH0 N +CLAP K L AE1 P +CLAPBOARD K L AE1 P - B AO2 R D +CLAPBOARDS K L AE1 P - B AO2 R D Z +CLAPHAM K L AE1 - F AH0 M +CLAPMAN K L AE1 P - M AH0 N +CLAPP K L AE1 P +CLAPPED K L AE1 P T +CLAPPER K L AE1 - P ER0 +CLAPPING K L AE1 - P IH0 NG +CLAPS K L AE1 P S +CLAPSADDLE K L AE1 P - S AE2 - D AH0 L +CLAPTON K L AE1 P - T AH0 N +CLAPTON'S K L AE1 P - T AH0 N Z +CLAR K L AA1 R +CLARA K L AE1 - R AH0 +CLARA(2) K L EH1 - R AH0 +CLARABELLE K L AE1 - R AH0 - B AH0 L +CLARABELLE(2) K L AE1 - R AH0 - B EH2 L +CLARAMAE K L AA0 - R AA1 - M AY0 +CLARAN K L EH1 - R AH0 N +CLARCOR K L AA1 R - K AO2 R +CLARDY K L AA1 R - D IY0 +CLARE K L EH1 R +CLAREMONT K L EH1 R - M AA2 N T +CLAREN K L AE1 - R AH0 N +CLARENCE K L EH1 - R AH0 N S +CLARENDON K L EH1 - R AH0 N - D AH0 N +CLARESTA K L AA0 - R EH1 - S T AH0 +CLARETTE K L ER0 - EH1 T +CLAREY K L AE1 - R IY0 +CLARIBEL K L EH1 - R AH0 - B EH2 L +CLARICE K L ER0 - IY1 S +CLARIDA K L AA0 - R IY1 - D AH0 +CLARIDGE K L EH1 - R IH0 JH +CLARIDGES K L EH1 - R IH0 - JH IH0 Z +CLARIFICATION K L EH2 - R AH0 - F AH0 - K EY1 - SH AH0 N +CLARIFICATIONS K L EH2 - R IH0 - F IH0 - K EY1 - SH AH0 N Z +CLARIFIED K L EH1 - R AH0 - F AY2 D +CLARIFIES K L EH1 - R AH0 - F AY2 Z +CLARIFY K L EH1 - R AH0 - F AY2 +CLARIFYING K L EH1 - R AH0 - F AY2 - IH0 NG +CLARIMOND K L AE1 - R IH0 - M AH0 N D +CLARINDA K L ER0 - IH1 N - D AH0 +CLARINE K L EH1 - R IY0 N +CLARINET K L EH2 - R AH0 - N EH1 T +CLARINETIST K L EH2 - R AH0 - N EH1 - T IH0 S T +CLARINETISTS K L EH2 - R AH0 - N EH1 - T IH0 S T S +CLARINETISTS(2) K L EH2 - R AH0 - N EH1 - T IH0 S S +CLARINETISTS(3) K L EH2 - R AH0 - N EH1 - T IH0 S +CLARINS K L EH1 - R IH0 N Z +CLARION K L EH1 - R IY0 - AH0 N +CLARIS K L EH1 - R IH0 S +CLARISSA K L ER0 - IH1 - S AH0 +CLARISSE K L AE1 - R IH0 S +CLARISSE(2) K L AH0 - R IY1 S +CLARITA K L AA0 - R IY1 - T AH0 +CLARITIN K L EH1 - R IH0 - T IH0 N +CLARITY K L EH1 - R AH0 - T IY0 +CLARITY(2) K L EH1 - R IH0 - T IY0 +CLARK K L AA1 R K +CLARK'S K L AA1 R K S +CLARKE K L AA1 R K +CLARKE'S K L AA1 R K S +CLARKEN K L AA1 R - K EH0 N +CLARKIN K L AA1 R - K IH0 N +CLARKS K L AA1 R K S +CLARKSBURG K L AA1 R K S - B ER0 G +CLARKSON K L AA1 R K - S AH0 N +CLARKSTON K L AA1 R K - S T AH0 N +CLARKSVILLE K L AA1 R K S - V IH2 L +CLARO K L AA1 - R OW0 +CLAROSTAT K L EH1 - R AH0 - S T AE2 T +CLARRIDGE K L AE1 - R IH0 JH +CLARRISSE K L AE1 - R IH0 S +CLARY K L EH1 - R IY0 +CLASBY K L AE1 S - B IY0 +CLASEN K L EY1 - S AH0 N +CLASH K L AE1 SH +CLASHED K L AE1 SH T +CLASHES K L AE1 - SH IH0 Z +CLASHING K L AE1 - SH IH0 NG +CLASON K L AE1 - S AH0 N +CLASP K L AE1 S P +CLASPED K L AE1 S P T +CLASS K L AE1 S +CLASS'S K L AE1 - S IH0 Z +CLASSACTION K L AE1 - S AE1 K - SH AH0 N +CLASSED K L AE1 S T +CLASSEN K L AE1 - S AH0 N +CLASSES K L AE1 - S AH0 Z +CLASSES(2) K L AE1 - S IH0 Z +CLASSIC K L AE1 - S IH0 K +CLASSICAL K L AE1 - S IH0 - K AH0 L +CLASSICALLY K L AE1 - S IH0 K - L IY0 +CLASSICISM K L AE1 - S IH0 - S IH2 - Z AH0 M +CLASSICIST K L AE1 - S AH0 - S AH0 S T +CLASSICS K L AE1 - S IH0 K S +CLASSIER K L AE1 - S IY0 - ER0 +CLASSIFIABLE K L AE1 - S AH0 - F AY2 - AH0 - B AH0 L +CLASSIFICATION K L AE2 - S AH0 - F AH0 - K EY1 - SH AH0 N +CLASSIFICATIONS K L AE2 - S AH0 - F AH0 - K EY1 - SH AH0 N Z +CLASSIFIED K L AE1 - S AH0 - F AY2 D +CLASSIFIES K L AE1 - S AH0 - F AY2 Z +CLASSIFY K L AE1 - S AH0 - F AY2 +CLASSIFYING K L AE1 - S AH0 - F AY2 - IH0 NG +CLASSING K L AE1 - S IH0 NG +CLASSLESS K L AE1 S - L AH0 S +CLASSMATE K L AE1 S - M EY2 T +CLASSMATES K L AE1 S - M EY2 T S +CLASSON K L AE1 - S AH0 N +CLASSROOM K L AE1 S - R UW2 M +CLASSROOMS K L AE1 S - R UW2 M Z +CLASSY K L AE1 - S IY0 +CLATTER K L AE1 - T ER0 +CLAUD K L AO1 D +CLAUDE K L AO1 D +CLAUDET K L AO0 - D EH1 T +CLAUDETTE K L OW0 - D EH1 T +CLAUDIA K L AO1 - D IY0 - AH0 +CLAUDIAN K L AO1 - D IY0 - AH0 N +CLAUDIE K L AO1 - D IY0 +CLAUDINA K L AO1 - D IH0 - N AH0 +CLAUDINA(2) K L AO0 - D IY1 - N AH0 +CLAUDINE K L AO0 - D IY1 N +CLAUDIO K L AO1 - D IY0 - OW2 +CLAUDIUS K L AO1 - D IY0 - AH0 S +CLAUDSON K L AO1 D - S AH0 N +CLAUNCH K L AO1 N CH +CLAUS K L AO1 Z +CLAUS' K L AO1 Z +CLAUSE K L AO1 Z +CLAUSELL K L AO1 - Z AH0 L +CLAUSEN K L AW1 - S AH0 N +CLAUSER K L AO1 - Z ER0 +CLAUSES K L AO1 - Z AH0 Z +CLAUSES(2) K L AO1 - Z IH0 Z +CLAUSING K L AO1 - Z IH0 NG +CLAUSON K L AO1 - Z AH0 N +CLAUSS K L AO1 S +CLAUSSEN K L AO1 Z - S AH0 N +CLAUSTROPHOBIA K L AO2 - S T R AH0 - F OW1 - B IY0 - AH0 +CLAUSTROPHOBIC K L AO2 - S T R AH0 - F OW1 - B IH0 K +CLAVETTE K L AH0 - V EH1 T +CLAVICHORD K L AE1 - V AH0 - K AO2 R D +CLAVICLE K L AE1 - V AH0 - K AH0 L +CLAVICLE(2) K L AE1 - V IH0 - K AH0 L +CLAVIN K L AE1 - V IH0 N +CLAW K L AO1 +CLAWED K L AO1 D +CLAWING K L AO1 - IH0 NG +CLAWS K L AO1 Z +CLAWSON K L AO1 - S AH0 N +CLAXON K L AE1 K - S AH0 N +CLAXTON K L AE1 K - S T AH0 N +CLAY K L EY1 +CLAYBAUGH K L EY1 - B AO2 +CLAYBORN K L EY1 - B ER0 N +CLAYBORNE K L EY1 - B ER0 N +CLAYBOURNE K L EY1 - B ER0 N +CLAYBROOK K L EY1 - B R UH2 K +CLAYBROOKS K L EY1 - B R UH2 K S +CLAYBURN K L EY1 - B ER2 N +CLAYCOMB K L EY1 - K AH0 M +CLAYEY K L EY1 - IY0 +CLAYMAN K L EY1 - M AH0 N +CLAYMATION K L EY1 - M EY2 - SH AH0 N +CLAYMONT K L EY1 - M AA2 N T +CLAYMORE K L EY1 - M AO2 R +CLAYPOOL K L EY1 - P UW2 L +CLAYPOOLE K L EY1 - P UW2 L +CLAYS K L EY1 Z +CLAYSON K L EY1 - Z AH0 N +CLAYTON K L EY1 - T AH0 N +CLAYTON'S K L EY1 - T AH0 N Z +CLAYTOR K L EY1 - T ER0 +CLAYWELL K L EY1 - W EH2 L +CLEAH K IY1 - AH0 +CLEAN K L IY1 N +CLEANED K L IY1 N D +CLEANER K L IY1 - N ER0 +CLEANERS K L IY1 - N ER0 Z +CLEANEST K L IY1 - N AH0 S T +CLEANING K L IY1 - N IH0 NG +CLEANLINESS K L EH1 N - L IY0 - N IH0 S +CLEANLY K L IY1 N - L IY0 +CLEANNESS K L IY1 - N N IH0 S +CLEANNESS(2) K L IY1 - N IH0 S +CLEANS K L IY1 N Z +CLEANSE K L EH1 N Z +CLEANSED K L EH1 N Z D +CLEANSER K L EH1 N - Z ER0 +CLEANSERS K L EH1 N - Z ER0 Z +CLEANSING K L EH1 N - Z IH0 NG +CLEANTHA K L IY1 N - TH AH0 +CLEANUP K L IY1 N - AH2 P +CLEANUPS K L IY1 N - AH2 P S +CLEAR K L IH1 R +CLEARANCE K L IH1 - R AH0 N S +CLEARANCES K L IH1 - R AH0 N - S IH0 Z +CLEARCUT K L IH1 R - K AH2 T +CLEARCUTS K L IH1 R - K AH2 T S +CLEARCUTTING K L IH1 R - K AH2 - T IH0 NG +CLEARED K L IH1 R D +CLEARER K L IH1 - R ER0 +CLEAREST K L IH1 - R IH0 S T +CLEARING K L IH1 - R IH0 NG +CLEARINGHOUSE K L IH1 - R IH0 NG - HH AW2 S +CLEARINGHOUSES K L IY1 - R IH0 NG - HH AW2 - S IH0 Z +CLEARLY K L IH1 R - L IY0 +CLEARMAN K L IH1 R - M AH0 N +CLEARS K L IH1 R Z +CLEARWATER K L IH1 R - W AO2 - T ER0 +CLEARY K L IH1 - R IY0 +CLEAT K L IY1 T +CLEATS K L IY1 T S +CLEAVAGE K L IY1 - V AH0 JH +CLEAVAGE(2) K L IY1 - V IH0 JH +CLEAVE K L IY1 V +CLEAVELAND K L IY1 V - L AH0 N D +CLEAVENGER K L IY1 - V IH0 N - JH ER0 +CLEAVER K L IY1 - V ER0 +CLEAVES K L IY1 V Z +CLECKLER K L EH1 K - L ER0 +CLECKLEY K L EH1 K - L IY0 +CLECKNER K L EH1 K - N ER0 +CLEEK K L IY1 K +CLEERE K L IH1 R +CLEESE K L IY1 S +CLEETON K L IY1 - T AH0 N +CLEF K L EH1 F +CLEFT K L EH1 F T +CLEGG K L EH1 G +CLEGHORN K L EH1 G - HH ER0 N +CLELAND K L EH1 - L AH0 N D +CLELL K L EH1 L +CLELLAND K L EH1 - L AH0 N D +CLEM K L EH1 M +CLEMANS K L EH1 - M AH0 N Z +CLEMATIS K L EH1 - M AH0 - T IH0 S +CLEMATIS(2) K L AH0 - M AE1 - T IH0 S +CLEMEN K L EH1 - M AH0 N +CLEMENCE K L EH1 - M AH0 N S +CLEMENCY K L EH1 - M AH0 N - S IY0 +CLEMENS K L EH1 - M AH0 N Z +CLEMENSEN K L EH1 - M AH0 N - S AH0 N +CLEMENSON K L EH1 - M IH0 N - S AH0 N +CLEMENT K L EH1 - M AH0 N T +CLEMENTE K L AH0 - M EH1 N - T EY0 +CLEMENTI K L EY0 - M EY1 N - T IY0 +CLEMENTIA K L EY0 - M EY1 N - SH AH0 +CLEMENTINE K L EH1 - M AH0 N - T AY2 N +CLEMENTS K L EH1 - M AH0 N T S +CLEMENTSON K L EH1 - M IH0 N T - S AH0 N +CLEMENTZ K L EH1 - M IH0 N T S +CLEMMER K L EH1 - M ER0 +CLEMMIE K L EH1 - M IY0 +CLEMMONS K L EH1 - M AH0 N Z +CLEMMY K L EH1 - M IY0 +CLEMO K L EY1 - M OW0 +CLEMONS K L EH1 - M AH0 N Z +CLEMSON K L EH1 M - S AH0 N +CLENCH K L EH1 N CH +CLENCHED K L EH1 N CH T +CLENCHER K L EH1 N - CH ER0 +CLENCHES K L EH1 N - CH AH0 Z +CLENDANIEL K L EH1 N - D AH0 - N IY2 L +CLENDENEN K L EH1 N - D AH0 - N AH0 N +CLENDENIN K L EH1 N - D IH0 - N IH0 N +CLENDENING K L EH1 N - D AH0 - N IH0 NG +CLENDENNING K L EH2 N - D EH1 - N IH0 NG +CLENNEY K L EH1 - N IY0 +CLENWAR K L EH1 N - W ER0 +CLEO K L IY1 - OW0 +CLEOPATRA K L IY2 - AH0 - P AE1 - T R AH0 +CLEOPATRA'S K L IY2 - AH0 - P AE1 - T R AH0 Z +CLEPHANE K L EH1 - F EY2 N +CLEPPER K L EH1 - P ER0 +CLERC K L ER1 K +CLERCQ K L ER1 K +CLERGY K L ER1 - JH IY0 +CLERGYMAN K L ER1 - JH IY0 - M AH0 N +CLERGYMAN(2) K L ER1 - JH IY0 - M AE2 N +CLERGYMEN K L ER1 - JH IY0 - M IH0 N +CLERGYMEN(2) K L ER1 - JH IY0 - M EH2 N +CLERIC K L EH1 - R IH0 K +CLERICAL K L EH1 - R AH0 - K AH0 L +CLERICAL(2) K L EH1 - R IH0 - K AH0 L +CLERICS K L EH1 - R IH0 K S +CLERISSA K L ER0 - IY1 - S AH0 +CLERK K L ER1 K +CLERK'S K L ER1 K S +CLERKIN K L ER1 - K IH0 N +CLERKS K L ER1 K S +CLERKS' K L ER1 K S +CLERMONT K L EH1 R - M AA2 N T +CLEVA K L IY1 - V AH0 +CLEVE K L IY1 V +CLEVELAND K L IY1 V - L AH0 N D +CLEVELAND'S K L IY1 V - L AH0 N D Z +CLEVELANDER K L IY1 V - L AH0 N - D ER0 +CLEVELANDERS K L IY1 V - L AH0 N - D ER0 Z +CLEVEN K L IY1 - V AH0 N +CLEVENGER K L EH1 - V IH0 N - JH ER0 +CLEVER K L EH1 - V ER0 +CLEVERLY K L EH1 - V ER0 - L IY0 +CLEVERNESS K L EH1 - V ER0 - N AH0 S +CLEVETRUST K L IY1 V - T R AH1 S T +CLEVIE K L IY1 - V IY0 +CLEVINGER K L EH1 - V IH0 - NG ER0 +CLEVITE K L AH0 - V AY1 T +CLEVITE'S K L AH0 - V AY1 T S +CLEWELL K L EH1 - W EH0 L +CLEWIS K L UW1 - IH0 S +CLEWS K L UW1 Z +CLIANTHA K L IY0 - AE1 N - TH AH0 +CLIBURN K L AY1 - B ER0 N +CLICHE K L IY0 - SH EY1 +CLICHED K L IY2 - SH EY1 D +CLICHES K L IY0 - SH EY1 Z +CLICK K L IH1 K +CLICKED K L IH1 K T +CLICKER K L IH1 - K ER0 +CLICKING K L IH1 - K IH0 NG +CLICKNER K L IH1 K - N ER0 +CLICKS K L IH1 K S +CLIENT K L AY1 - AH0 N T +CLIENT'S K L AY1 - AH0 N T S +CLIENTELE K L AY2 - AH0 N - T EH1 L +CLIENTS K L AY1 - AH0 N T S +CLIENTS' K L AY1 - AH0 N T S +CLIETT K L IY1 T +CLIF K L IH1 F +CLIFF K L IH1 F +CLIFF'S K L IH1 F S +CLIFFE K L IH1 F +CLIFFHANGER K L IH1 F - HH AE2 - NG ER0 +CLIFFHANGERS K L IH1 F - HH AE2 - NG ER0 Z +CLIFFORD K L IH1 - F ER0 D +CLIFFORD'S K L IH1 - F ER0 D Z +CLIFFS K L IH1 F S +CLIFFS' K L IH1 F S +CLIFT K L IH1 F T +CLIFTON K L IH1 F - T AH0 N +CLIGGOTT K L IH1 - G AH0 T +CLIM K L IH1 M +CLIMACO K L IH1 - M AH0 - K OW0 +CLIMACTIC K L AY0 - M AE1 K - T IH0 K +CLIMATE K L AY1 - M AH0 T +CLIMATE(2) K L AY1 - M IH0 T +CLIMATES K L AY1 - M AH0 T S +CLIMATES(2) K L AY1 - M IH0 T S +CLIMATIC K L AY0 - M AE1 - T IH0 K +CLIMATOLOGIST K L IH2 - M AH0 - T AA1 - L AH0 - JH IH0 S T +CLIMATOLOGIST(2) K L AY2 - M AH0 - T AA1 - L AH0 - JH IH0 S T +CLIMAX K L AY1 - M AE2 K S +CLIMAXED K L AY1 - M AE2 K S T +CLIMAXES K L IH1 - M AE0 K - S IH0 Z +CLIMAXES(2) K L AY1 - M AE0 K - S IH0 Z +CLIMB K L AY1 M +CLIMBED K L AY1 M D +CLIMBER K L AY1 - M ER0 +CLIMBERS K L AY1 - M ER0 Z +CLIMBERS' K L AY1 - M ER0 Z +CLIMBING K L AY1 - M IH0 NG +CLIMBS K L AY1 M Z +CLIMER K L AY1 - M ER0 +CLIMES K L AY1 M Z +CLINARD K L IH1 - N ER0 D +CLINCH K L IH1 N CH +CLINCHED K L IH1 N CH T +CLINCHER K L IH1 N - CH ER0 +CLINCHES K L IH1 N - CH AH0 Z +CLINCHES(2) K L IH1 N - CH IH0 Z +CLINCHING K L IH1 N - CH IH0 NG +CLINE K L AY1 N +CLINES K L AY1 N Z +CLINES'S K L AY1 N - Z IH0 Z +CLING K L IH1 NG +CLINGAN K L IH1 NG - G AH0 N +CLINGENPEEL K L IH0 NG - G EH1 N - P IY0 L +CLINGER K L IH1 - NG ER0 +CLINGERMAN K L IH1 - NG ER0 - M AH0 N +CLINGING K L IH1 - NG IH0 NG +CLINGMAN K L IH1 NG - M AH0 N +CLINGS K L IH1 NG Z +CLINI K L IY1 - N IY0 +CLINIC K L IH1 - N IH0 K +CLINIC'S K L IH1 - N IH0 K S +CLINICAL K L IH1 - N AH0 - K AH0 L +CLINICAL'S K L IH1 - N IH0 - K AH0 L Z +CLINICAL(2) K L IH1 - N IH0 - K AH0 L +CLINICALLY K L IH1 - N IH0 - K AH0 - L IY0 +CLINICALLY(2) K L IH1 - N IH0 K - L IY0 +CLINICIAN K L IH0 - N IH1 - SH AH0 N +CLINICIANS K L IH0 - N IH1 - SH AH0 N Z +CLINICS K L IH1 - N IH0 K S +CLINK K L IH1 NG K +CLINKENBEARD K L IH0 NG - K EH1 N - B ER0 D +CLINKSCALE K L IH1 NG K - S K EY2 L +CLINKSCALES K L IH1 NG K S - K EY2 L Z +CLINT K L IH1 N T +CLINTON K L IH1 N - T AH0 N +CLINTON'S K L IH1 N - T AH0 N Z +CLINTONITE K L IH1 N - T AH0 - N AY2 T +CLINTONITES K L IH1 N - T AH0 - N AY2 T S +CLINTONOMICS K L IH2 N - T AH0 - N AA1 - M IH0 K S +CLINTONS K L IH1 N - T AH0 N Z +CLINTONS' K L IH1 N - T AH0 N Z +CLIO K L IY1 - OW0 +CLIP K L IH1 P +CLIPBOARD K L IH1 P - B AO2 R D +CLIPPARD K L IH1 - P ER0 D +CLIPPED K L IH1 P T +CLIPPER K L IH1 - P ER0 +CLIPPERS K L IH1 - P ER0 Z +CLIPPING K L IH1 - P IH0 NG +CLIPPINGER K L IH1 - P IH0 - NG ER0 +CLIPPINGS K L IH1 - P IH0 NG Z +CLIPS K L IH1 P S +CLIQUE K L IY1 K +CLIQUES K L IH1 K S +CLITES K L AY1 T S +CLITORIS K L AY0 - T AO1 - R IH0 S +CLIVE K L AY1 V +CLIVER K L AY1 - V ER0 +CLOAK K L OW1 K +CLOAKED K L OW1 K T +CLOAKING K L OW1 - K IH0 NG +CLOAKROOM K L OW1 K - R UW2 M +CLOBBER K L AA1 - B ER0 +CLOBBERED K L AA1 - B ER0 D +CLOBBERING K L AA1 - B ER0 - IH0 NG +CLOCK K L AA1 K +CLOCK'S K L AA1 K S +CLOCKED K L AA1 K T +CLOCKER K L AA1 - K ER0 +CLOCKERS K L AA1 - K ER0 Z +CLOCKS K L AA1 K S +CLOCKWISE K L AA1 K - W AY2 Z +CLOCKWORK K L AA1 K - W ER2 K +CLODFELTER K L AA1 D - F EH2 L - T ER0 +CLODOVEO K L OW0 - D OW1 - V IY0 - OW0 +CLOE K L OW1 +CLOER K L OW1 - ER0 +CLOEY K L OW1 - IY0 +CLOG K L AA1 G +CLOGGED K L AO1 G D +CLOGGING K L AA1 - G IH0 NG +CLOGGING(2) K L AO1 - G IH0 NG +CLOGS K L AA1 G Z +CLOGSTON K L AA1 G - S T AH0 N +CLOHERTY K L AA1 - HH ER0 - T IY0 +CLOHESSY K L AA1 - HH IH0 - S IY0 +CLOISTER K L OY1 - S T ER0 +CLOISTERED K L OY1 - S T ER0 D +CLOISTERS K L OY1 - S T ER0 Z +CLOKE K L OW1 K +CLOMIPRAMINE K L OW1 - M IH0 - P R AH0 - M AY2 N +CLONCH K L AA1 N CH +CLONE K L OW1 N +CLONED K L OW1 N D +CLONES K L OW1 N Z +CLONES' K L OW1 N Z +CLONIDINE K L AA1 - N IH0 - D IY2 N +CLONING K L OW1 - N IH0 NG +CLONINGER K L OW1 - N IH0 - NG ER0 +CLONTS K L AA1 N T S +CLONTZ K L AA1 N T S +CLOONAN K L UW1 - N AH0 N +CLOONEY K L UW1 - N IY0 +CLOOTIE K L UW1 - T IY0 +CLOPPER K L AA1 - P ER0 +CLOPTON K L AA1 P - T AH0 N +CLORE K L AO1 R +CLORE'S K L AO1 R Z +CLORINDA K L AO0 - R IY1 N - D AH0 +CLOROX K L AO1 - R AA0 K S +CLOS K L AA1 S +CLOSE K L OW1 S +CLOSE(2) K L OW1 Z +CLOSE-UP K L OW1 - S AH2 P +CLOSED K L OW1 Z D +CLOSEDOWN K L OW1 Z - D AW2 N +CLOSEDOWNS K L OW1 Z - D AW2 N Z +CLOSELY K L OW1 S - L IY0 +CLOSENESS K L OW1 S - N IH0 S +CLOSER K L OW1 - S ER0 +CLOSER(2) K L OW1 - Z ER0 +CLOSES K L OW1 - Z IH0 Z +CLOSEST K L OW1 - S AH0 S T +CLOSET K L AA1 - Z AH0 T +CLOSETED K L AA1 - Z AH0 - T IH0 D +CLOSETS K L AA1 - Z AH0 T S +CLOSEUP K L OW1 - S AH1 P +CLOSEUPS K L OW1 - S AH1 P S +CLOSING K L OW1 - Z IH0 NG +CLOSINGS K L OW1 - Z IH0 NG Z +CLOSS K L AO1 S +CLOSSER K L AO1 - S ER0 +CLOSSON K L AA1 - S AH0 N +CLOSURE K L OW1 - ZH ER0 +CLOSURES K L OW1 - ZH ER0 Z +CLOT K L AA1 T +CLOTFELTER K L AA1 T - F EH2 L - T ER0 +CLOTH K L AO1 TH +CLOTHE K L OW1 DH +CLOTHED K L OW1 DH D +CLOTHES K L OW1 DH Z +CLOTHES(2) K L OW1 Z +CLOTHESHORSE K L OW1 Z - HH AO2 R S +CLOTHESTIME K L OW1 DH Z - T AY1 M +CLOTHIER K L OW1 - DH Y ER0 +CLOTHIERS K L OW1 - DH Y ER0 Z +CLOTHILDA K L AH0 - TH IH1 L - D AH0 +CLOTHILDE K L AA1 - TH IH0 L D +CLOTHING K L OW1 - DH IH0 NG +CLOTHS K L AO1 TH S +CLOTILDA K L AH0 - T IH1 L - D AH0 +CLOTS K L AA1 T S +CLOTT K L AA1 T +CLOTTED K L AA1 - T AH0 D +CLOTTED(2) K L AA1 - T IH0 D +CLOTTING K L AA1 - T IH0 NG +CLOTURE K L OW1 - CH ER0 +CLOUATRE K L AW1 - AH0 T R +CLOUD K L AW1 D +CLOUDBURST K L AW1 D - B ER2 S T +CLOUDED K L AW1 - D IH0 D +CLOUDINESS K L AW1 - D IY0 - N IH0 S +CLOUDING K L AW1 - D IH0 NG +CLOUDLESS K L AW1 D - L AH0 S +CLOUDS K L AW1 D Z +CLOUDY K L AW1 - D IY0 +CLOUGH K L AW1 +CLOUGHERTY K L AW1 - ER0 - T IY0 +CLOUSE K L AW1 S +CLOUSER K L AW1 - S ER0 +CLOUT K L AW1 T +CLOUTHIER K L AW1 - TH IY0 - ER0 +CLOUTHIER(2) K L OW1 - TH IY0 - ER0 +CLOUTHIER(3) K L OW1 - DH IY0 - ER0 +CLOUTIER K L AW1 - T IY0 - ER0 +CLOVER K L OW1 - V ER0 +CLOVERLEAF K L OW1 - V ER0 - L IY2 F +CLOVES K L OW1 V Z +CLOVIS K L OW1 - V IH0 S +CLOW K L OW1 +CLOWARD K L OW1 - W ER0 D +CLOWDUS K L AW1 - D IH0 S +CLOWER K L AW1 - ER0 +CLOWERS K L AW1 - ER0 Z +CLOWES K L AW1 Z +CLOWN K L AW1 N +CLOWNEY K L AW1 - N IY0 +CLOWNING K L AW1 - N IH0 NG +CLOWNS K L AW1 N Z +CLOY K L OY1 +CLOYD K L OY1 D +CLOYING K L OY1 - IH0 NG +CLOZAPINE K L OW1 - Z AH0 - P AY2 N +CLUB K L AH1 B +CLUB'S K L AH1 B Z +CLUBB K L AH1 B +CLUBBED K L AH1 B D +CLUBBING K L AH1 - B IH0 NG +CLUBBY K L AH1 - B IY0 +CLUBHOUSE K L AH1 B - HH AW2 S +CLUBHOUSES K L AH1 B - HH AW2 - S IH0 Z +CLUBS K L AH1 B Z +CLUCAS K L UW1 - K AH0 Z +CLUCK K L AH1 K +CLUCKEY K L AH1 - K IY0 +CLUCKING K L AH1 - K IH0 NG +CLUCKS K L AH1 K S +CLUE K L UW1 +CLUED K L UW1 D +CLUELESS K L UW1 - L AH0 S +CLUES K L UW1 Z +CLUETT K L UW1 - IH0 T +CLUFF K L AH1 F +CLUGSTON K L AH1 G - S T AH0 N +CLUJ K L UW1 JH +CLUJ(2) S IY1 - EH1 - L Y UW1 - JH EY1 +CLUKEY K L UW1 - K IY0 +CLUM K L AH1 M +CLUMP K L AH1 M P +CLUMPING K L AH1 M - P IH0 NG +CLUMPS K L AH1 M P S +CLUMPY K L AH1 M - P IY0 +CLUMSILY K L AH1 M - S AH0 - L IY0 +CLUMSINESS K L AH1 M - Z IY0 - N AH0 S +CLUMSY K L AH1 M - Z IY0 +CLUNE K L UW1 N +CLUNG K L AH1 NG +CLUNK K L AH1 NG K +CLUNKER K L AH1 NG - K ER0 +CLUNKERS K L AH1 NG - K ER0 Z +CLUNKS K L AH1 NG K S +CLUNKY K L AH1 NG - K IY0 +CLUNY K L UW1 - N IY0 +CLUSTER K L AH1 - S T ER0 +CLUSTERED K L AH1 - S T ER0 D +CLUSTERING K L AH1 - S T ER0 - IH0 NG +CLUSTERS K L AH1 - S T ER0 Z +CLUTCH K L AH1 CH +CLUTCHED K L AH1 CH T +CLUTCHES K L AH1 - CH AH0 Z +CLUTCHES(2) K L AH1 - CH IH0 Z +CLUTCHING K L AH1 - CH IH0 NG +CLUTE K L UW1 T +CLUTTER K L AH1 - T ER0 +CLUTTERED K L AH1 - T ER0 D +CLUTTERING K L AH1 - T ER0 - IH0 NG +CLUTTS K L AH1 T S +CLYATT K L AY1 - AH0 T +CLYBURN K L IH1 - B ER0 N +CLYDE K L AY1 D +CLYDESDALE K L AY1 D Z - D EY2 L +CLYMENE K L IH0 - M IY1 N +CLYMER K L AY1 - M ER0 +CLYNE K L AY1 N +CLYTE K L AY1 T +CLYTIE K L IH1 - T IY0 +CLYVE K L AY1 V +CMOS S IY1 - M OW0 S +CMOS(2) S IY1 - EH1 - M OW1 - EH1 S +CMX K AH0 - M EH1 K S +CNN S IY1 - EH1 - N EH1 N +CNN.COM S IY1 - EH1 - N EH1 N - D AA1 T - K AA1 M +CNNFN S IY1 - EH1 - N EH1 - N EH1 - F EH1 N +CO K OW1 +CO-OP K OW1 - AA2 P +CO-OPERATIVE K OW2 - AA1 - P ER2 - AH0 - T IH0 V +CO-OPERATIVE(2) K OW2 - AA1 - P R AH0 - T IH0 V +CO-OPT K OW0 - AA1 P T +CO-OPTED K OW0 - AA1 P - T AH0 D +CO-WIFE K OW1 - W AY1 F +CO. K OW1 +CO.(2) K AH1 - P AH0 - N IY0 +COACH K OW1 CH +COACH'S K OW1 - CH IH0 Z +COACHED K OW1 CH T +COACHES K OW1 - CH IH0 Z +COACHING K OW1 - CH IH0 NG +COACHMAN K OW1 CH - M AH0 N +COAD K OW1 D +COADY K OW1 - D IY0 +COAGULATE K OW0 - AE1 - G Y AH0 - L EY2 T +COAGULATING K OW0 - AE1 - G Y AH0 - L EY2 - T IH0 NG +COAGULATION K OW0 - AE1 - G Y AH0 - L EY1 - SH AH0 N +COAKLEY K OW1 K - L IY0 +COAL K OW1 L +COAL'S K OW1 L Z +COALE K OW1 L +COALESCE K OW2 - AH0 - L EH1 S +COALESCED K OW2 - AH0 - L EH1 S T +COALESCING K OW2 - AH0 - L EH1 - S IH0 NG +COALITION K OW2 - AH0 - L IH1 - SH AH0 N +COALITION'S K OW2 - AH0 - L IH1 - SH AH0 N Z +COALITIONS K OW2 - AH0 - L IH1 - SH AH0 N Z +COALS K OW1 L Z +COALSON K OW1 L - S AH0 N +COAN K OW1 N +COAR K AO1 R +COARSE K AO1 R S +COARSENING K AO1 R - S IH0 - N IH0 NG +COARSER K AO1 R - S ER0 +COAST K OW1 S T +COAST'S K OW1 S T S +COASTAL K OW1 - S T AH0 L +COASTAL'S K OW1 - S T AH0 L Z +COASTAMERICA K OW2 - S T AH0 - M EH1 - R IH0 - K AH0 +COASTAMERICA'S K OW2 - S T AH0 - M EH1 - R IH0 - K AH0 Z +COASTED K OW1 - S T IH0 D +COASTER K OW1 - S T ER0 +COASTERS K OW1 - S T ER0 Z +COASTING K OW1 - S T IH0 NG +COASTLINE K OW1 S T - L AY2 N +COASTLINES K OW1 S T - L AY2 N Z +COASTS K OW1 S T S +COASTS(2) K OW1 S S +COASTS(3) K OW1 S +COAT K OW1 T +COAT'S K OW1 T S +COATE K OW1 - EY1 T +COATED K OW1 - T AH0 D +COATED(2) K OW1 - T IH0 D +COATES K OW1 - EY1 T S +COATESVILLE K OW1 T S - V IH2 L +COATING K OW1 - T IH0 NG +COATINGS K OW1 - T IH0 NG Z +COATNEY K OW1 T - N IY0 +COATS K OW1 T S +COATTAIL K OW1 T - T EY2 L +COATTAILS K OW1 T - T EY2 L Z +COAUTHOR K OW1 - AA1 - TH ER0 +COAUTHORS K OW1 - AA1 - TH ER0 Z +COAX K OW1 K S +COAXED K OW1 K S T +COAXES K OW1 K - S IH0 Z +COAXIAL K OW1 - AE1 K - S IY0 - AH0 L +COAXING K OW1 K - S IH0 NG +COAXUM K OW1 K - S AH0 M +COB K AA1 B +COBAIN K OW1 - B EY2 N +COBAIN'S K OW1 - B EY2 N Z +COBAINE K OW1 - B EY2 N +COBALT K OW1 - B AO2 L T +COBAUGH K AA1 - B AO0 +COBB K AA1 B +COBBETT K AA1 - B IH0 T +COBBINS K AA1 - B IH0 N Z +COBBLE K AA1 - B AH0 L +COBBLED K AA1 - B AH0 L D +COBBLER K AA1 B - L ER0 +COBBLER'S K AA1 B - L ER0 Z +COBBLERS K AA1 B - L ER0 Z +COBBLESTONE K AA1 - B AH0 L - S T OW2 N +COBBLESTONES K AA1 - B AH0 L - S T OW2 N Z +COBBS K AA1 B Z +COBE K OW1 B +COBEN K OW1 - B AH0 N +COBEPA K OW0 - B EY1 - P AH0 +COBERLY K OW1 - B ER0 - L IY0 +COBERN K AA1 - B ER0 N +COBERT K AA1 - B ER0 T +COBEY K OW1 - B IY0 +COBIA K OW1 - B IY0 - AH0 +COBIAN K OW1 - B IY0 - AH0 N +COBIN K OW1 - B IH0 N +COBLE K OW1 - B AH0 L +COBLEIGH K AA1 B - L AH0 +COBLENTZ K AA1 B - L IH0 N T S +COBLER K OW1 - B AH0 L - ER0 +COBLER(2) K OW1 - B L ER0 +COBLINER K AA1 B - L AY0 - N ER0 +COBO K OW1 - B OW0 +COBOS K OW1 - B OW0 Z +COBRA K OW1 - B R AH0 +COBRAS K OW1 - B R AH0 Z +COBRE K AA1 - B R AH0 +COBRIN K AA1 - B R IH0 N +COBS K AA1 B Z +COBURN K OW1 - B ER0 N +COBWEB K AA1 B - W EH2 B +COBWEBS K AA1 B - W EH2 B Z +COBY K OW1 - B IY0 +COCA K OW1 - K AH0 +COCAINE K OW0 - K EY1 N +COCANINO K OW2 - K AH0 - N IY1 - N OW0 +COCANOUGHER K AA1 - K AH0 - N AH2 - F ER0 +COCCA K OW1 - K AH0 +COCCARO K OW0 - K AA1 - R OW0 +COCCHI K OW1 - K IY0 +COCCIA K OW1 - CH AH0 +COCCO K OW1 - K OW0 +COCCUS K AA1 - K AH0 S +COCHAIRMAN K OW1 - CH EH2 R - M AH0 N +COCHENOUR K AA1 - SH IH0 - N UH0 R +COCHIN K OW1 - CH IH0 N +COCHLEA K AA1 K - L IY0 - AH0 +COCHLEAR K AA1 K - L IY0 - ER0 +COCHRAN K AA1 - K R AH0 N +COCHRAN'S K AA1 - K R AH0 N Z +COCHRANE K AA1 - K R AH0 N +COCK K AA1 K +COCKAMAMIE K AO2 - K AH0 - M EY1 - M IY0 +COCKATOO K AA1 - K AH0 - T UW2 +COCKATOOS K AA1 - K AH0 - T UW2 Z +COCKBURN K AA1 K - B ER2 N +COCKBURN'S K OW1 - B ER0 N Z +COCKBURN'S(2) K AA1 K - B ER2 N Z +COCKE K OW1 K +COCKED K AA1 K T +COCKED(2) K AO1 K T +COCKER K AA1 - K ER0 +COCKERELL K AA1 - K ER0 - EH2 L +COCKERHAM K AA1 - K ER0 - HH AE2 M +COCKERILL K AA1 - K ER0 - IH2 L +COCKEY K AA1 - K IY0 +COCKEYED K AA1 K - AY2 D +COCKFIELD K AA1 K - F IY2 L D +COCKINESS K AA1 - K IY0 - N AH0 S +COCKING K AA1 - K IH0 NG +COCKLIN K AA1 K - L IH0 N +COCKMAN K AA1 K - M AH0 N +COCKNEY K AA1 K - N IY0 +COCKPIT K AA1 K - P IH2 T +COCKPITS K AA1 K - P IH2 T S +COCKRAN K AA1 - K R AH0 N +COCKRELL K AA1 - K R AH0 L +COCKRILL K AA1 - K R AH0 L +COCKROACH K AA1 K - R OW2 CH +COCKROACHES K AA1 K - R OW2 - CH IH0 Z +COCKROFT K AA1 - K R AH0 F T +COCKRUM K AA1 - K R AH0 M +COCKS K AA1 K S +COCKTAIL K AA1 K - T EY2 L +COCKTAILS K AA1 K - T EY2 L Z +COCKWELL K AA1 K - W EH2 L +COCKWELL'S K AA1 K - W EH2 L Z +COCKY K AA1 - K IY0 +COCO K OW1 - K OW2 +COCOA K OW1 - K OW0 +COCOANUTS K OW1 - K OW0 - N AH2 T S +COCOM K OW1 - K AA1 M +COCONINO K OW2 - K AH0 - N IY1 - N OW0 +COCONUT K OW1 - K AH0 - N AH2 T +COCONUTS K OW1 - K AH0 - N AH2 T S +COCOON K AH0 - K UW1 N +COCOONING K AH0 - K UW1 - N IH0 NG +COCOONS K AH0 - K UW1 N Z +COCOS K OW1 - K OW2 Z +COCOZZA K OW0 - K OW1 T - S AH0 +COCUZZA K OW0 - K UW1 T - S AH0 +COD K AA1 D +COD(2) S IY1 - OW1 - D IY1 +CODA K OW1 - D AH0 +CODAG K OW1 - D AE1 G +CODAY K OW1 - D EY1 +CODD K AA1 D +CODDING K AA1 - D IH0 NG +CODDINGTON K AA1 - D IH0 NG - T AH0 N +CODDLE K AA1 - D AH0 L +CODDLED K AA1 - D AH0 L D +CODDLING K AA1 - D AH0 L - IH0 NG +CODDLING(2) K AA1 D - L IH0 NG +CODE K OW1 D +CODE'S K OW1 D Z +CODEBREAKER K OW1 D - B R EY2 - K ER0 +CODEBREAKERS K OW1 D - B R EY2 - K ER0 Z +CODED K OW1 - D IH0 D +CODELCO K OW0 - D EH1 L - K OW0 +CODER K OW1 - D ER0 +CODERRE K AH0 - D EH1 R +CODES K OW1 D Z +CODESA K OW0 - D EH1 - S AH0 +CODIFICATION K AA2 - D AH0 - F AH0 - K EY1 - SH AH0 N +CODIFIED K AA1 - D AH0 - F AY2 D +CODIFIES K OW1 - D AH0 - F AY2 Z +CODIFY K OW1 - D AH0 - F AY2 +CODIFYING K OW1 - D AH0 - F AY2 - IH0 NG +CODING K OW1 - D IH0 NG +CODISPOTI K OW0 - D IY0 - S P OW1 - T IY0 +CODLIN K AA1 D - L IH0 N +CODNER K AA1 D - N ER0 +CODRESCU K AH0 - D R EH1 - S K Y UW2 +CODRESCU'S K AH0 - D R EH1 - S K Y UW2 Z +CODY K OW1 - D IY0 +COE K OW1 +COEBURN K OW1 - B ER0 N +COED K OW1 - EH2 D +COED(2) K OW1 D +COEDS K OW1 - EH2 D Z +COEDUCATIONAL K OW1 - EH1 - JH AH0 - K EY1 - SH AH0 - N AH0 L +COEFFICIENT K OW2 - AH0 - F IH1 - SH AH0 N T +COEFFICIENTS K OW2 - AH0 - F IH1 - SH AH0 N T S +COEHLO K OW1 - L OW0 +COELACANTH S IY1 - L AH0 - K AE2 N TH +COELHO K OW2 - EH1 - L OW0 +COELLO K OW2 - EH1 - L OW0 +COEN K OW1 - IH0 N +COENEN K OW0 - IY1 - N AH0 N +COENZYME K OW0 - EH1 N - Z AY0 M +COEQUAL K OW0 - IY1 - K W AH0 L +COERCE K OW0 - ER1 S +COERCED K OW0 - ER1 S T +COERCING K OW0 - ER1 - S IH0 NG +COERCION K OW0 - ER1 - SH AH0 N +COERCIVE K OW0 - ER1 - S IH0 V +COEUR K UW1 R +COEXIST K OW2 - AH0 G - Z IH1 S T +COEXISTED K OW2 - AH0 G - Z IH1 - S T AH0 D +COEXISTENCE K OW2 - IH0 G - Z IH1 - S T AH0 N S +COEXISTING K OW2 - IH0 G - Z IH1 - S T IH0 NG +COEY K OW1 - IY0 +COFER K OW1 - F ER1 +COFFARO K OW0 - F AA1 - R OW0 +COFFEE K AA1 - F IY0 +COFFEE'S K AA1 - F IY0 Z +COFFEE'S(2) K AO1 - F IY0 Z +COFFEE(2) K AO1 - F IY0 +COFFEEHOUSE K AO1 - F IY0 - HH AW2 S +COFFEEHOUSES K AO1 - F IY0 - HH AW2 - S IH0 Z +COFFEEN K AH0 - F IY1 N +COFFEES K AO1 - F IY0 Z +COFFEL K AA1 - F AH0 L +COFFELT K AA1 - F IH0 L T +COFFER K AO1 - F ER0 +COFFERS K AA1 - F ER0 Z +COFFERS(2) K AO1 - F ER0 Z +COFFEY K AA1 - F IY0 +COFFIELD K AA1 - F IY0 L D +COFFIN K AO1 - F IH0 N +COFFING K AO1 - F IH0 NG +COFFINS K AO1 - F IH0 N Z +COFFLIN K AO1 F - L IH0 N +COFFMAN K AO1 F - M AH0 N +COFIDE K OW2 - F AY1 D +COFIELD K OW1 - F IY1 L D +COFOUNDER K OW1 - F AW1 N - D ER0 +COG K AO1 G +COGAN K OW1 - G AH0 N +COGAR K OW1 - G ER0 +COGBILL K AA1 G - B IH2 L +COGBURN K AA1 G - B ER2 N +COGDELL K AA1 G - D AH0 L +COGDILL K AA1 G - D AH0 L +COGECO K OW2 - JH EH1 - K OW0 +COGEMA K OW1 G - M AA0 +COGENCY K OW1 - JH AH0 N - S IY0 +COGENERATE K OW1 - JH EH1 - N ER0 - EY2 T +COGENERATED K OW1 - JH EH1 - N ER0 - EY2 - T IH0 D +COGENERATION K OW1 - JH EH1 - N ER0 - EY1 - SH AH0 N +COGENERATOR K OW0 - JH EH1 - N ER0 - EY2 - T ER0 +COGENERATORS K OW0 - JH EH1 - N ER0 - EY2 - T ER0 Z +COGENT K OW1 - JH AH0 N T +COGER K OW1 - JH ER0 +COGGESHALL K AA1 - G IH0 - SH AO0 L +COGGIN K AA1 - G IH0 N +COGGINS K AA1 - G IH0 N Z +COGHILL K AA1 G - HH IH2 L +COGHLAN K AA1 G - L AH0 N +COGITATE K AA2 - JH IH0 - T EY2 T +COGITATION K AA2 - JH IH0 - T EY1 - SH AH0 N +COGLEY K AA1 G - L IY0 +COGLIANESE K OW0 G - L IY0 - AH0 - N EY1 - Z IY0 +COGLIANO K OW0 G - L IY0 - AA1 - N OW0 +COGNAC K OW1 N - Y AE2 K +COGNAC(2) K AA1 N - Y AE2 K +COGNETICS K AA2 G - N EH1 - T IH0 K S +COGNEX K AA1 G - N EH0 K S +COGNITION K AA0 G - N IH1 - SH AH0 N +COGNITIVE K AA1 G - N IH0 - T IH0 V +COGNIZANCE K AA1 G - N AH0 - Z AH0 N S +COGNIZANT K AA1 G - N AH0 - Z AH0 N T +COGNOSCENTI K AA2 G - N AO2 - SH EH1 N - T IY0 +COGSWELL K AA1 G - S W EH2 L +COHABIT K OW0 - HH AE1 - B IH0 T +COHABITATION K OW0 - HH AE2 - B AH0 - T EY1 - SH AH0 N +COHABITING K OW0 - HH AE1 - B IH0 - T IH0 NG +COHAN K OW1 - HH AH0 N +COHASSET K OW0 - HH AE1 - S AH0 T +COHEA K AA1 - HH IY0 - AH0 +COHEE K AA1 - HH IY0 +COHEN K OW1 - AH0 N +COHEN'S K OW1 - AH0 N Z +COHENOUR K AH0 - HH EH1 - N ER0 +COHERENCE K OW0 - HH IH1 - R AH0 N S +COHERENT K OW0 - HH IH1 - R AH0 N T +COHERENTLY K OW0 - HH IY1 - R AH0 N T - L IY0 +COHESION K OW0 - HH IY1 - ZH AH0 N +COHESIVE K OW0 - HH IY1 - S IH0 V +COHESIVELY K OW0 - HH IY1 - S IH0 V - L IY0 +COHESIVENESS K OW0 - HH IY1 - S IH0 V - N AH0 S +COHICK K AA1 - HH IH0 K +COHILL K OW1 - HH IH1 L +COHN K OW1 N +COHO K OW1 - HH OW0 +COHOON K AH0 - HH UW1 N +COHORT K OW1 - HH AO0 R T +COHORTS K OW1 - HH AO0 R T S +COHOST K OW1 - HH OW2 S T +COHOSTS K OW1 - HH OW2 S T S +COHOSTS(2) K OW1 - HH OW2 S S +COHOSTS(3) K OW1 - HH OW2 S +COHR K AO1 R +COHRON K AA1 - R AH0 N +COHRS K AO1 R Z +COIA K OW1 - Y AH0 +COIFFE K OY1 F +COIFFED K OY1 F T +COIL K OY1 L +COILE K OY1 L +COILED K OY1 L D +COILS K OY1 L Z +COIN K OY1 N +COIN'S K OY1 N Z +COINAGE K OY1 - N IH0 JH +COINCIDE K OW2 - IH0 N - S AY1 D +COINCIDED K OW2 - AH0 N - S AY1 - D AH0 D +COINCIDENCE K OW0 - IH1 N - S IH0 - D AH0 N S +COINCIDENCES K OW0 - IH1 N - S AH0 - D AH0 N - S IH0 Z +COINCIDENT K OW0 - IH1 N - S AH0 - D AH0 N T +COINCIDENTAL K OW0 - IH2 N - S AH0 - D EH1 N - T AH0 L +COINCIDENTALLY K OW0 - IH2 N - S IH0 - D EH1 N - T AH0 - L IY0 +COINCIDENTALLY(2) K OW0 - IH2 N - S IH0 - D EH1 - N AH0 - L IY0 +COINCIDES K OW2 - IH0 N - S AY1 D Z +COINCIDING K OW2 - AH0 N - S AY1 - D IH0 NG +COINED K OY1 N D +COINER K OY1 - N ER0 +COINING K OY1 - N IH0 NG +COINS K OY1 N Z +COINSURANCE K OW2 - IH0 N - SH ER1 - AH0 N S +COINTREAU K AO2 N - T R OW1 +COIPA K OY1 - P AH0 +COIRO K OY1 - R OW0 +COIT K OY1 T +COITSVILLE K OY1 T S - V IH0 L +COJIMAR K OW1 - JH IH0 - M AA2 R +COJIMAR'S K OW1 - JH IH0 - M AA2 R Z +COJUANGCO K OW0 - W AA1 NG - K OW0 +COJUANGCO(2) K OW0 JH - W AE1 NG - K OW0 +COKE K OW1 K +COKE'S K OW1 K S +COKER K OW1 - K ER0 +COKES K OW1 K S +COKIE K OW1 - K IY0 +COKIE'S K OW1 - K IY0 Z +COKING K OW1 - K IH0 NG +COKLEY K AA1 K - L IY0 +COLA K OW1 - L AH0 +COLA'S K OW1 - L AH0 Z +COLAB K OW1 - L AE1 B +COLABELLA K OW2 - L AH0 - B EH1 - L AH0 +COLAIANNI K OW0 - L AA0 - Y AA1 - N IY0 +COLAIZZI K OW2 - L EY1 - Z IY0 +COLALUCA K OW2 - L AH0 - L UW1 - K AH0 +COLAN K OW1 - L AH0 N +COLANGELO K OW0 - L AA0 NG - G EH1 - L OW0 +COLANTONIO K OW0 - L AA0 N - T OW1 - N IY0 - OW0 +COLANTUONO K OW0 - L AA0 N - T W OW1 - N OW0 +COLAO K OW1 - L AW0 +COLARUSSO K OW0 - L AA0 - R UW1 - S OW0 +COLAS K OW1 - L AH0 S +COLASANTI K OW2 - L AH0 - S AE1 N - T IY0 +COLASURDO K OW0 - L AA0 - S UH1 R - D OW0 +COLAVITO K OW0 - L AA0 - V IY1 - T OW0 +COLAW K OW1 - L AO1 +COLBATH K OW1 L - B AH0 TH +COLBAUGH K OW1 L - B AO2 +COLBECK K AA1 L - B EH0 K +COLBERG K AA1 L - B ER0 G +COLBERN K OW1 L - B ER0 N +COLBERT K OW1 L - B ER0 T +COLBORN K OW1 L - B AO0 R N +COLBORNE K OW1 L - B AO0 R N +COLBURN K OW1 L - B ER0 N +COLBY K OW1 L - B IY0 +COLBY'S K OW1 L - B IY0 Z +COLBYS K OW1 L - B IY0 Z +COLCLASURE K OW0 L - K L AA1 - ZH ER0 +COLCLOUGH K OW1 L - K L AW0 +COLCORD K OW1 L - K ER0 D +COLD K OW1 L D +COLD-BLOOD K OW1 L D - B L AH1 D +COLD-BLOODED K OW1 L D - B L AH1 - D AH0 D +COLDEN K OW1 L - D AH0 N +COLDER K OW1 L - D ER0 +COLDEST K OW1 L - D AH0 S T +COLDIRON K OW1 L - D ER0 - AA0 N +COLDLY K OW1 L D - L IY0 +COLDNESS K OW1 L D - N AH0 S +COLDREN K OW1 L - D ER0 - AH0 N +COLDS K OW1 L D Z +COLDWATER K OW1 L D - W AO2 - T ER0 +COLDWELL K OW1 L D - W EH2 L +COLE K OW1 L +COLE'S K OW1 L Z +COLEBANK K OW1 L - B AE2 NG K +COLEBROOK K OW1 L - B R UH2 K +COLECO K OW2 - L EH1 - K OW0 +COLECO'S K OW2 - L EH1 - K OW0 Z +COLEE K OW1 - L IY1 +COLEEN K AO0 - L IY1 N +COLEGROVE K OW1 L - G R OW2 V +COLELLA K OW2 - L EH1 - L AH0 +COLELLO K OW2 - L EH1 - L OW0 +COLEMAN K OW1 L - M AH0 N +COLEMAN'S K OW1 L - M AH0 N Z +COLEN K OW1 - L AH0 N +COLER K OW1 - L ER0 +COLERIDGE K OW1 L - R IH0 JH +COLES K OW1 L Z +COLESLAW K OW1 L - S L AA2 +COLESON K AA1 - L IH0 - S AH0 N +COLESON(2) K OW1 L - S AH0 N +COLESTIPOL K OW1 L - S T IH2 - P AA2 L +COLESTOCK K OW1 L - S T AA2 K +COLETTA K OW0 - L EH1 - T AH0 +COLETTE K OW1 - L EH1 T +COLETTI K OW0 - L EH1 - T IY0 +COLEUS K OW1 - L IY0 - AH0 S +COLEVILLE K OW1 L - V IH2 L +COLEY K OW1 - L IY0 +COLFER K OW1 L - F ER0 +COLFORD K OW1 L - F ER0 D +COLGAN K OW1 L - G AH0 N +COLGATE K OW1 L - G EY0 T +COLGATE'S K OW1 L - G EY0 T S +COLGIN K OW1 L - JH IH0 N +COLGLAZIER K OW1 L - G L AH0 - Z IY0 - ER0 +COLGROVE K OW1 L - G R AH0 V +COLI K OW1 - L IY0 +COLICCHIO K OW2 - L IH1 - K IY0 - OW0 +COLIER K OW1 - L IY0 - ER0 +COLIN K OW1 - L IH0 N +COLINA K OW0 - L IY1 - N AH0 +COLINAS K OW0 - L IY1 - N AH0 S +COLINE K OW0 - L IY1 - N IY0 +COLINO K OW0 - L IY1 - N OW0 +COLIS K OW1 - L IH0 S +COLISEUM K AA2 - L AH0 - S IY1 - AH0 M +COLL K AA1 L +COLLA K OW1 - L AH0 +COLLABORATE K AH0 - L AE1 - B ER0 - EY2 T +COLLABORATED K AH0 - L AE1 - B ER0 - EY2 - T AH0 D +COLLABORATED(2) K AH0 - L AE1 - B ER0 - EY2 - T IH0 D +COLLABORATING K AH0 - L AE1 - B ER0 - EY2 - T IH0 NG +COLLABORATION K AH0 - L AE2 - B ER0 - EY1 - SH AH0 N +COLLABORATIONS K AA2 - L AH0 - B ER0 - EY1 - SH AH0 N Z +COLLABORATIVE K AH0 - L AE1 - B ER0 - EY2 - T IH0 V +COLLABORATIVE(2) K AH0 - L AE1 - B R AH0 - T IH0 V +COLLABORATOR K AH0 - L AE1 - B ER0 - EY2 - T ER0 +COLLABORATORS K AH0 - L AE1 - B ER0 - EY2 - T ER0 Z +COLLADO K OW0 - L AA1 - D OW0 +COLLAGE K AH0 - L AA1 ZH +COLLAGEN K AA1 - L AH0 - G AH0 N +COLLAGES K AH0 - L AA1 - ZH IH0 Z +COLLAMORE K OW0 - L AA1 - M AO0 R +COLLAPSE K AH0 - L AE1 P S +COLLAPSED K AH0 - L AE1 P S T +COLLAPSES K AH0 - L AE1 P - S IH0 Z +COLLAPSIBLE K AH0 - L AE1 P - S AH0 - B AH0 L +COLLAPSING K AH0 - L AE1 P - S IH0 NG +COLLAR K AA1 - L ER0 +COLLARBONE K AA1 - L ER0 - B OW2 N +COLLARD K AA1 - L ER0 D +COLLARDS K AA1 - L ER0 D Z +COLLARED K AA1 - L ER0 D +COLLARS K AA1 - L ER0 Z +COLLATE K AH0 - L EY1 T +COLLATERAL K AH0 - L AE1 - T ER0 - AH0 L +COLLATERALIZE K AH0 - L AE1 - T ER0 - AH0 - L AY2 Z +COLLATERALIZED K AH0 - L AE1 - T ER0 - AH0 - L AY2 Z D +COLLAZO K OW0 - L AA1 - Z OW0 +COLLE K OW1 L +COLLEAGUE K AA1 - L IY0 G +COLLEAGUE'S K AA1 - L IY0 G Z +COLLEAGUES K AA1 - L IY0 G Z +COLLEAGUES' K AA1 - L IY0 G Z +COLLECT K AH0 - L EH1 K T +COLLECTED K AH0 - L EH1 K - T AH0 D +COLLECTIBILITY K AH0 - L EH2 K - T IH0 - B IH1 - L IH0 - T IY0 +COLLECTIBLE K AH0 - L EH1 K - T AH0 - B AH0 L +COLLECTIBLES K AH0 - L EH1 K - T AH0 - B AH0 L Z +COLLECTING K AH0 - L EH1 K - T IH0 NG +COLLECTION K AH0 - L EH1 K - SH AH0 N +COLLECTIONS K AH0 - L EH1 K - SH AH0 N Z +COLLECTIVE K AH0 - L EH1 K - T IH0 V +COLLECTIVELY K AH0 - L EH1 K - T IH0 V - L IY0 +COLLECTIVES K AH0 - L EH1 K - T IH0 V Z +COLLECTIVISM K AH0 - L EH1 K - T IH0 - V IH2 - Z AH0 M +COLLECTIVIST K AH0 - L EH1 K - T IH0 - V IH0 S T +COLLECTIVIZATION K AH0 - L EH2 K - T IH0 - V IH0 - Z EY1 - SH AH0 N +COLLECTIVIZE K AH0 - L EH1 K - T IH0 - V AY2 Z +COLLECTIVIZED K AH0 - L EH1 K - T IH0 - V AY2 Z D +COLLECTOR K AH0 - L EH1 K - T ER0 +COLLECTOR'S K AH0 - L EH1 K - T ER0 Z +COLLECTOR'S(2) K L EH1 K - T ER0 Z +COLLECTOR(2) K L EH1 K - T ER0 +COLLECTORS K AH0 - L EH1 K - T ER0 Z +COLLECTORS' K AH0 - L EH1 K - T ER0 Z +COLLECTORS'(2) K L EH1 K - T ER0 Z +COLLECTORS(2) K L EH1 K - T ER0 Z +COLLECTS K AH0 - L EH1 K T S +COLLEDGE K AA1 - L IH0 JH +COLLEEN K AA2 - L IY1 N +COLLEGE K AA1 - L IH0 JH +COLLEGE'S K AA1 - L IH0 - JH IH0 Z +COLLEGES K AA1 - L IH0 - JH IH0 Z +COLLEGES' K AA1 - L IH0 - JH IH0 Z +COLLEGEVILLE K AA1 - L AH0 JH - V IH0 L +COLLEGIAL K AH0 - L IY1 - JH IY0 - AH0 L +COLLEGIALITY K AH0 - L IY2 - JH IY0 - AE1 - L IH0 - T IY0 +COLLEGIAN K AH0 - L IY1 - JH AH0 N +COLLEGIANS K AH0 - L IY1 - JH AH0 N Z +COLLEGIATE K AH0 - L IY1 - JH IH0 T +COLLEN K AA1 - L AH0 N +COLLENDER K AA1 - L AH0 N - D ER0 +COLLER K AA1 - L ER0 +COLLERAN K AA1 - L ER0 - AE0 N +COLLET K AA1 - L IH0 T +COLLETT K AA1 - L IH0 T +COLLETTA K OW0 - L EH1 - T AH0 +COLLETTE K AH0 - L EH1 T +COLLETTI K OW0 - L EH1 - T IY0 +COLLEVILLE K OW1 L - V IH0 L +COLLEVILLE'S K OW1 L - V IH0 L Z +COLLEY K AA1 - L IY0 +COLLI K OW1 - L IY0 +COLLICK K AA1 - L IH0 K +COLLIDE K AH0 - L AY1 D +COLLIDED K AH0 - L AY1 - D IH0 D +COLLIDER K AH0 - L AY1 - D ER0 +COLLIDES K AH0 - L AY1 D Z +COLLIDING K AH0 - L AY1 - D IH0 NG +COLLIE K AA1 - L IY0 +COLLIER K AA1 - L Y ER0 +COLLIER'S K AA1 - L Y ER0 Z +COLLIERS K AA1 - L Y ER0 Z +COLLIES K AA1 - L IY0 Z +COLLIGAN K AA1 - L IH0 - G AE0 N +COLLIGNON K AH0 - L IH1 G - N AH0 N +COLLIN K AA1 - L IH0 N +COLLING K AA1 - 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AE1 L +COMMERCIALE'S K AH0 - M ER2 - S IY0 - AE1 L Z +COMMERCIALE'S(2) K OW0 - M EH2 R - S IY0 - AE1 - L EY2 Z +COMMERCIALISM K AH0 - M ER1 - SH AH0 - L IH2 - Z AH0 M +COMMERCIALIZATION K AH0 - M ER2 - SH AH0 - L IH0 - Z EY1 - SH AH0 N +COMMERCIALIZE K AH0 - M ER1 - SH AH0 - L AY2 Z +COMMERCIALIZED K AH0 - M ER1 - SH AH0 - L AY2 Z D +COMMERCIALIZING K AH0 - M ER1 - SH AH0 - L AY2 - Z IH0 NG +COMMERCIALLY K AH0 - M ER1 - SH AH0 - L IY0 +COMMERCIALS K AH0 - M ER1 - SH AH0 L Z +COMMERFORD K AA1 - M ER0 - F ER0 D +COMMERICAL K AH0 - M ER1 - SH AH0 L +COMMERZBANK K AA1 - M ER0 Z - B AE2 NG K +COMMERZBANK'S K AA1 - M ER0 Z - B AE1 NG K S +COMMIE K AA1 - M IY0 +COMMIES K AA1 - M IY0 Z +COMMINGLE K AH0 - M IH1 NG - G AH0 L +COMMINGLE(2) K OW0 - M IH1 NG - G AH0 L +COMMINGLED K AA0 - M IH1 NG - G AH0 L D +COMMINGLED(2) K OW0 - M IH1 NG - G AH0 L D +COMMINGLING K AA0 - M IH1 NG - G AH0 L - IH0 NG +COMMINGLING(2) K OW0 - M IH1 NG - G L IH0 NG +COMMINS K AA1 - M IH0 N Z +COMMISERATE K AH0 - M IH1 - S ER0 - EY2 T +COMMISH K AH0 - M IH1 SH +COMMISION K AH0 - M IH1 - Z AH0 N +COMMISION(2) K AH0 - M IH1 - SH AH0 N +COMMISSAR K AA1 - M AH0 - S AA2 R +COMMISSARIES K AA1 - M AH0 - S EH2 - R IY0 Z +COMMISSARS K AA1 - M IH0 - S AA0 Z +COMMISSARY K AA1 - M AH0 - S EH2 - R IY0 +COMMISSION K AH0 - M IH1 - SH AH0 N +COMMISSION'S K AH0 - M IH1 - SH AH0 N Z +COMMISSIONED K AH0 - M IH1 - SH AH0 N D +COMMISSIONER K AH0 - M IH1 - SH AH0 N - ER0 +COMMISSIONER'S K AH0 - M IH1 - SH AH0 N - ER0 Z +COMMISSIONERS K AH0 - M IH1 - SH AH0 N - ER0 Z +COMMISSIONING K AH0 - M IH1 - SH AH0 N - IH0 NG +COMMISSIONS K AH0 - M IH1 - SH AH0 N Z +COMMISSO K OW0 - M IY1 - S OW0 +COMMIT K AH0 - M IH1 T +COMMITEE K AA1 - M IH0 - T IY0 +COMMITEE(2) K AH0 - M IH1 - T IY0 +COMMITMENT K AH0 - M IH1 T - M AH0 N T +COMMITMENTS K AH0 - M IH1 T - M AH0 N T S +COMMITS K AH0 - M IH1 T S +COMMITTAL K AH0 - M IH1 - T AH0 L +COMMITTED K AH0 - M IH1 - T AH0 D +COMMITTEE K AH0 - M IH1 - T IY0 +COMMITTEE'S K AH0 - M IH1 - T IY0 Z +COMMITTEEMAN K AH0 - M IH1 - T IY0 - M AH0 N +COMMITTEES K AH0 - M IH1 - T IY0 Z +COMMITTEES' K AH0 - M IH1 - T IY0 Z +COMMITTING K AH0 - M IH1 - T IH0 NG +COMMODE K AH0 - M OW1 D +COMMODIOUS K AH0 - M OW1 - D IY0 - AH0 S +COMMODITIES K AH0 - M AA1 - D AH0 - T IY0 Z +COMMODITY K AH0 - M AA1 - D AH0 - T IY0 +COMMODITY'S K AH0 - M AA1 - D AH0 - T IY0 Z +COMMODORE K AA1 - M AH0 - D AO2 R +COMMODORE'S K AA1 - M AH0 - D AO2 R Z +COMMON K AA1 - M AH0 N +COMMONALITIES K AA2 - M AH0 - N AE1 - L AH0 - T IY0 Z +COMMONALITY K AA2 - M AH0 - N AE1 - L AH0 - T IY0 +COMMONER K AA1 - M AH0 - N ER0 +COMMONERS K AA1 - M AH0 - N ER0 Z +COMMONLY K AA1 - M AH0 N - L IY0 +COMMONPLACE K AA1 - M AH0 N - P L EY2 S +COMMONS K AA1 - M AH0 N Z +COMMONSENSE K AA2 - M AH0 N - S EH1 N S +COMMONSENSICAL K AA2 - M AH0 N - S EH1 N - S IH0 - K AH0 L +COMMONWEALTH K AA1 - M AH0 N - W EH2 L TH +COMMONWEALTH'S K AA1 - M AH0 N - W EH2 L TH S +COMMOTION K AH0 - M OW1 - SH AH0 N +COMMUNAL K AH0 - M Y UW1 - N AH0 L +COMMUNE K AA1 - M Y UW0 N +COMMUNE(2) K AH0 - M Y UW1 N +COMMUNES K AA1 - M Y UW0 N Z +COMMUNES(2) K AH0 - M Y UW1 N Z +COMMUNICABLE K AH0 - M Y UW1 - N AH0 - K AH0 - B AH0 L +COMMUNICATE K AH0 - M Y UW1 - N AH0 - K EY2 T +COMMUNICATED K AH0 - M Y UW1 - N AH0 - K EY2 - T IH0 D +COMMUNICATES K AH0 - M Y UW1 - N IH0 - K EY2 T S +COMMUNICATING K AH0 - M Y UW1 - N AH0 - K EY2 - T IH0 NG +COMMUNICATION K AH0 - M Y UW2 - N AH0 - K EY1 - SH AH0 N +COMMUNICATION'S K AH0 - M Y UW2 - N IH0 - K EY1 - SH AH0 N Z +COMMUNICATIONS K AH0 - M Y UW2 - N AH0 - K EY1 - SH AH0 N Z +COMMUNICATIONS' K AH0 - M Y UW2 - N AH0 - K EY1 - SH AH0 N Z +COMMUNICATIVE K AH0 - M Y UW1 - N AH0 - K AH0 - T IH0 V +COMMUNICATOR K AH0 - M Y UW1 - N AH0 - K EY2 - T ER0 +COMMUNICATORS K AH0 - M Y UW1 - N AH0 - K EY0 - T ER0 Z +COMMUNION K AH0 - M Y UW1 - N Y AH0 N +COMMUNIQUE K AH0 - M Y UW1 - N AH0 - K EY2 +COMMUNIQUE(2) K AH0 - M Y UW2 - N AH0 - K EY1 +COMMUNIQUES K AH0 - M Y UW2 - N IH0 - K EY1 Z +COMMUNISM K AA1 - M Y AH0 - N IH2 - Z AH0 M +COMMUNISM'S K AA1 - M Y AH0 - N IH2 - Z AH0 M Z +COMMUNIST K AA1 - M Y AH0 - N AH0 S T +COMMUNIST'S K AA1 - M Y AH0 - N AH0 S T S +COMMUNISTS K AA1 - M Y AH0 - N AH0 S T S +COMMUNISTS' K AA1 - M Y UW0 - N IH0 S T S +COMMUNISTS(2) K AA1 - M Y AH0 - N AH0 S S +COMMUNISTS(3) K AA1 - M Y AH0 - N AH0 S +COMMUNITIES K AH0 - M Y UW1 - N AH0 - T IY0 Z +COMMUNITIES(2) K AH0 - M Y UW1 - N IH0 - T IY0 Z +COMMUNITY K AH0 - M Y UW1 - N AH0 - T IY0 +COMMUNITY'S K AH0 - M Y UW1 - N IH0 - T IY0 Z +COMMUNITY(2) K AH0 - M Y UW1 - N IH0 - T IY0 +COMMUNITYWIDE K AH0 - M Y UW1 - N IH0 - T IY0 - W AY2 D +COMMUNIZATION K AA2 - M Y AH0 - N AH0 - Z EY1 - SH AH0 N +COMMUNIZE K AA1 - M Y AH0 - N AY2 Z +COMMUTE K AH0 - M Y UW1 T +COMMUTED K AH0 - M Y UW1 - T IH0 D +COMMUTER K AH0 - M Y UW1 - T ER0 +COMMUTERS K AH0 - M Y UW1 - T ER0 Z +COMMUTES K AH0 - M Y UW1 T S +COMMUTING K AH0 - M Y UW1 - T IH0 NG +COMO K OW1 - M OW0 +COMP K AA1 M P +COMPACT K AA1 M - P AE0 K T +COMPACT(2) K AH0 M - P AE1 K T +COMPACTED K AH0 M - P AE1 K - T IH0 D +COMPACTNESS K AH0 M - P AE1 K T - N AH0 S +COMPACTOR K AH0 M - P AE1 K - T ER0 +COMPACTS K AH0 M - P AE1 K T S +COMPACTS(2) K AA1 M - P AE0 K T S +COMPAGNIE K AH1 M - P AH0 - N IY0 +COMPANHIA K AH0 M - P AE1 N - HH IY0 - AH0 +COMPANIA K AH0 M - P EY1 - N IY0 - AH0 +COMPANIES K AH1 M - P AH0 - N IY0 Z +COMPANIES' K AH1 M - P AH0 - N IY0 Z +COMPANIES'S K AH1 M - P AH0 - N IY0 - Z IH0 Z +COMPANION K AH0 M - P AE1 - N Y AH0 N +COMPANIONS K AH0 M - P AE1 - N Y AH0 N Z +COMPANIONSHIP K AH0 M - P AE1 - N Y AH0 N - SH IH2 P +COMPANIONWAY K AH0 M - P AE1 - N Y AH0 N - W EY2 +COMPANY K AH1 M - P AH0 - N IY0 +COMPANY'S K AH1 M - P AH0 - N IY0 Z +COMPANYWIDE K AH1 M - P AH0 - N IY0 - W AY2 D +COMPAQ K AA1 M - P AE2 K +COMPAQ'S K AA1 M - P AE2 K S +COMPARABILITY K AA2 M - P ER0 - AH0 - B IH1 - L IH0 - T IY0 +COMPARABLE K AA1 M - P ER0 - AH0 - B AH0 L +COMPARABLE(2) K AH0 M - P EH1 - R AH0 - B AH0 L +COMPARABLE(3) K AH0 M - P R AH0 - B AH0 L +COMPARABLY K AA1 M - P ER0 - AH0 - B L IY0 +COMPARABLY(2) K AA1 M - P R AH0 - B L IY0 +COMPARATIVE K AH0 M - P EH1 - R AH0 - T IH0 V +COMPARATIVELY K AH0 M - P EH1 - R AH0 - T IH0 V - L IY0 +COMPARATOR K AH0 M - P ER1 - AH0 - T ER0 +COMPARE K AH0 M - P EH1 R +COMPARED K AH0 M - P EH1 R D +COMPARES K AH0 M - P EH1 R Z +COMPARING K AH0 M - P EH1 - R IH0 NG +COMPARISON K AH0 M - P EH1 - R AH0 - S AH0 N +COMPARISONS K AH0 M - P EH1 - R AH0 - S AH0 N Z +COMPARTMENT K AH0 M - P AA1 R T - M AH0 N T +COMPARTMENTAL K AH0 M - P AA2 R T - M EH1 N - T AH0 L +COMPARTMENTALIZE K AH0 M - P AA2 R T - M EH1 N - T AH0 - L AY2 Z +COMPARTMENTALIZED K AA2 M - P AA0 R T - M EH1 N - T AH0 - L AY0 Z D +COMPARTMENTS K AH0 M - P AA1 R T - M AH0 N T S +COMPAS K AA1 M - P AH0 S +COMPASS K AH1 M - P AH0 S +COMPASSION K AH0 M - P AE1 - SH AH0 N +COMPASSIONATE K AH0 M - P AE1 - SH AH0 - N AH0 T +COMPASSIONATELY K AH0 M - P AE1 - SH AH0 - N AH0 T - L IY0 +COMPATIBILITY K AH0 M - P AE2 - T AH0 - B IH1 - L AH0 - T IY0 +COMPATIBLE K AH0 M - P AE1 - T AH0 - B AH0 L +COMPATIBLES K AH0 M - P AE1 - T IH0 - B AH0 L Z +COMPATRIOT K AH0 M - P EY1 - T R IY0 - AH0 T +COMPATRIOTS K AH0 M - P EY1 - T R IY0 - AH0 T S +COMPEAN K AA1 M - P AH0 N +COMPEAU K AH0 M - P OW1 +COMPEL K AH0 M - P EH1 L +COMPELLED K AH0 M - P EH1 L D +COMPELLING K AH0 M - P EH1 - L IH0 NG +COMPELLINGLY K AH0 M - P EH1 - L IH0 NG - L IY0 +COMPELS K AH0 M - P EH1 L Z +COMPENDIUM K AH0 M - P EH1 N - D IY0 - AH0 M +COMPENSABLE K AH0 M - P EH1 N - S AH0 - B AH0 L +COMPENSATE K AA1 M - P AH0 N - S EY2 T +COMPENSATED K AA1 M - P AH0 N - S EY2 - T AH0 D +COMPENSATES K AA1 M - P AH0 N - S EY2 T S +COMPENSATING K AA1 M - P AH0 N - S EY2 - T IH0 NG +COMPENSATION K AA2 M - P AH0 N - S EY1 - SH AH0 N +COMPENSATIONS K AA2 M - P AH0 N - S EY1 - SH AH0 N Z +COMPENSATORY K AH0 M - P EH1 N - S AH0 - T AO2 - R IY0 +COMPETE K AH0 M - P IY1 T +COMPETED K AH0 M - P IY1 - T IH0 D +COMPETENCE K AA1 M - P AH0 - T IH0 N S +COMPETENCIES K AA1 M - P AH0 - T IH0 N - S IY0 Z +COMPETENCY K AA1 M - P AH0 - T IH0 N - S IY0 +COMPETENT K AA1 M - P AH0 - T IH0 N T +COMPETENTLY K AA1 M - P AH0 - T IH0 N T - L IY0 +COMPETES K AH0 M - P IY1 T S +COMPETING K AH0 M - P IY1 - T IH0 NG +COMPETITION K AA2 M - P AH0 - T IH1 - SH AH0 N +COMPETITION'S K AA2 M - P AH0 - T IH1 - SH AH0 N Z +COMPETITIONS K AA2 M - P AH0 - T IH1 - SH AH0 N Z +COMPETITIVE K AH0 M - P EH1 - T AH0 - T IH0 V +COMPETITIVE(2) K AH0 M - P EH1 - T IH0 - T IH0 V +COMPETITIVELY K AH0 M - P EH1 - T IH0 - T IH0 V - L IY0 +COMPETITIVENESS K AH0 M - P EH1 - T IH0 - T IH0 V - N IH0 S +COMPETITOR K AH0 M - P EH1 - T AH0 - T ER0 +COMPETITOR'S K AH0 M - P EH1 - T AH0 - T ER0 Z +COMPETITOR(2) K AH0 M - P EH1 - T IH0 - T ER0 +COMPETITORS K AH0 M - P EH1 - T AH0 - T ER0 Z +COMPETITORS' K AH0 M - P EH1 - T IH0 - T ER0 Z +COMPETITORS(2) K AH0 M - P EH1 - T IH0 - T ER0 Z +COMPHER K AA1 M - F ER0 +COMPILATION K AA2 M - P AH0 - L EY1 - SH AH0 N +COMPILATIONS K AA2 M - P AH0 - L EY1 - SH AH0 N Z +COMPILE K AH0 M - P AY1 L +COMPILED K AH0 M - P AY1 L D +COMPILER K AH0 M - P AY1 - L ER0 +COMPILERS K AH0 M - P AY1 - L ER0 Z +COMPILES K AH0 M - P AY1 L Z +COMPILING K AH0 M - P AY1 - L IH0 NG +COMPLACENCY K AH0 M - P L EY1 - S AH0 N - S IY0 +COMPLACENT K AH0 M - P L EY1 - S AH0 N T +COMPLACENTLY K AH0 M - P L EY1 - S AH0 N T - L IY0 +COMPLAIN K AH0 M - P L EY1 N +COMPLAINANT K AH0 M - P L EY1 - N AH0 N T +COMPLAINANTS K AH0 M - P L EY1 - N AH0 N T S +COMPLAINED K AH0 M - P L EY1 N D +COMPLAINER K AH0 M - P L EY1 - N ER0 +COMPLAINERS K AA1 M - P L EY2 - N ER0 Z +COMPLAINING K AH0 M - P L EY1 - N IH0 NG +COMPLAINS K AH0 M - P L EY1 N Z +COMPLAINT K AH0 M - P L EY1 N T +COMPLAINTS K AH0 M - P L EY1 N T S +COMPLAISANT K AH0 M - P L EY1 - S AH0 N T +COMPLEMENT K AA1 M - P L AH0 - M AH0 N T +COMPLEMENTARY K AA2 M - P L AH0 - M EH1 N - T R IY0 +COMPLEMENTARY(2) K AA2 M - P L AH0 - M EH1 N - CH IY0 +COMPLEMENTED K AA1 M - P L AH0 - M EH2 N - T IH0 D +COMPLEMENTING K AA1 M - P L AH0 - M EH2 N - T IH0 NG +COMPLEMENTS K AA1 M - P L AH0 - M AH0 N T S +COMPLETE K AH0 M - P L IY1 T +COMPLETED K AH0 M - P L IY1 - T AH0 D +COMPLETED(2) K AH0 M - P L IY1 - T IH0 D +COMPLETELY K AH0 M - P L IY1 T - L IY0 +COMPLETENESS K AH0 M - P L IY1 T - N AH0 S +COMPLETES K AH0 M - P L IY1 T S +COMPLETING K AH0 M - P L IY1 - T IH0 NG +COMPLETION K AH0 M - P L IY1 - SH AH0 N +COMPLETIONS K AH0 M - P L IY1 - SH AH0 N Z +COMPLEX K AA1 M - P L EH0 K S +COMPLEX(2) K AH0 M - P L EH1 K S +COMPLEXES K AA1 M - P L EH0 K - S AH0 Z +COMPLEXION K AH0 M - P EH1 K - SH AH0 N +COMPLEXIONS K AH0 M - P EH1 K - SH AH0 N Z +COMPLEXITIES K AH0 M - P L EH1 K - S IH0 - T IY0 Z +COMPLEXITY K AH0 M - P L EH1 K - S AH0 - T IY0 +COMPLEXITY(2) K AH0 M - P L EH1 K - S IH0 - T IY0 +COMPLIANCE K AH0 M - P L AY1 - AH0 N S +COMPLIANT K AH0 M - P L AY1 - AH0 N T +COMPLICATE K AA1 M - P L AH0 - K EY2 T +COMPLICATED K AA1 M - P L AH0 - K EY2 - T AH0 D +COMPLICATES K AA1 M - P L IH0 - K EY2 T S +COMPLICATING K AA1 M - P L AH0 - K EY2 - T IH0 NG +COMPLICATION K AA2 M - P L AH0 - K EY1 - SH AH0 N +COMPLICATIONS K AA2 M - P L AH0 - K EY1 - SH AH0 N Z +COMPLICIT K AH0 M - P L IH1 - S AH0 T +COMPLICITY K AH0 M - P L IH1 - S AH0 - T IY0 +COMPLICITY(2) K AH0 M - P L IH1 - S IH0 - T IY0 +COMPLIED K AH0 M - P L AY1 D +COMPLIES K AH0 M - P L AY1 Z +COMPLIMENT K AA1 M - P L AH0 - M EH0 N T +COMPLIMENTARY K AA2 M - P L AH0 - M EH1 N - T ER0 - IY0 +COMPLIMENTED K AA1 M - P L AH0 - M EH2 N - T IH0 D +COMPLIMENTING K AA1 M - P L AH0 - M EH2 N - T IH0 NG +COMPLIMENTS K AA1 M - P L AH0 - M EH0 N T S +COMPLY K AH0 M - P L AY1 +COMPLYING K AH0 M - P L AY1 - IH0 NG +COMPO K AA1 M - P OW2 +COMPONENT K AH0 M - P OW1 - N AH0 N T +COMPONENTS K AH0 M - P OW1 - N AH0 N T S +COMPORT K AH0 M - P AO1 R T +COMPORTMENT K AH0 M - P AO1 R T - M AH0 N T +COMPOSE K AH0 M - P OW1 Z +COMPOSED K AH0 M - P OW1 Z D +COMPOSER K AH0 M - P OW1 - Z ER0 +COMPOSER'S K AH0 M - P OW1 - Z ER0 Z +COMPOSERS K AH0 M - P OW1 - Z ER0 Z +COMPOSES K AH0 M - P OW1 - Z IH0 Z +COMPOSING K AH0 M - P OW1 - Z IH0 NG +COMPOSITE K AH0 M - P AA1 - Z AH0 T +COMPOSITE'S K AH0 M - P AA1 - Z AH0 T S +COMPOSITE'S(2) K AA0 M - P AA1 - Z AH0 T S +COMPOSITE(2) K AA0 M - P AA1 - Z AH0 T +COMPOSITES K AH0 M - P AA1 - Z AH0 T S +COMPOSITES(2) K AA0 M - P AA1 - Z AH0 T S +COMPOSITION K AA2 M - P AH0 - Z IH1 - SH AH0 N +COMPOSITIONAL K AA2 M - P AH0 - Z IH1 - SH AH0 - N AH0 L +COMPOSITIONS K AA2 M - P AH0 - Z IH1 - SH AH0 N Z +COMPOST K AA1 M - P OW0 S T +COMPOSTING K AA1 M - P OW2 - S T IH0 NG +COMPOSURE K AH0 M - P OW1 - ZH ER0 +COMPOTE K AA1 M - P OW0 T +COMPOUND K AA1 M - P AW0 N D +COMPOUND(2) K AH0 M - P AW1 N D +COMPOUNDED K AH0 M - P AW1 N - D AH0 D +COMPOUNDED(2) K AH0 M - P AW1 N - D IH0 D +COMPOUNDING K AH0 M - P AW1 N - D IH0 NG +COMPOUNDS K AA1 M - P AW0 N D Z +COMPOUNDS(2) K AH0 M - P AW1 N D Z +COMPREHEND K AA2 M - P R IY0 - HH EH1 N D +COMPREHENDED K AA2 M - P R IH0 - HH EH1 N - D IH0 D +COMPREHENDING K AA2 M - P R IH0 - HH EH1 N - D IH0 NG +COMPREHENSIBILITY K AA2 M - P R IY0 - HH EH2 N - S AH0 - B IH1 - L AH0 - T IY0 +COMPREHENSIBLE K AA2 M - P R IY0 - HH EH1 N - S AH0 - B AH0 L +COMPREHENSION K AA2 M - P R IY0 - HH EH1 N - SH AH0 N +COMPREHENSIVE K AA2 M - P R IY0 - HH EH1 N - S IH0 V +COMPREHENSIVELY K AA2 M - P R IH0 - HH EH1 N - S IH0 V - L IY0 +COMPRESS K AA1 M - P R EH0 S +COMPRESS(2) K AH0 M - P R EH1 S +COMPRESSED K AH0 M - P R EH1 S T +COMPRESSES K AA1 M - P R EH0 - S AH0 Z +COMPRESSES(2) K AH0 M - P R EH1 - S AH0 Z +COMPRESSES(3) K AH0 M - P R EH1 - S IH0 Z +COMPRESSING K AH0 M - P R EH1 - S IH0 NG +COMPRESSION K AH0 M - P R EH1 - SH AH0 N +COMPRESSOR K AH0 M - P R EH1 - S ER0 +COMPRESSORS K AH0 M - P R EH1 - S ER0 Z +COMPRINT K AA1 M - P R IH2 N T +COMPRISE K AH0 M - P R AY1 Z +COMPRISED K AH0 M - P R AY1 Z D +COMPRISES K AH0 M - P R AY1 - Z AH0 Z +COMPRISES(2) K AH0 M - P R AY1 - Z IH0 Z +COMPRISING K AH0 M - P R AY1 - Z IH0 NG +COMPROMISE K AA1 M - P R AH0 - M AY2 Z +COMPROMISED K AA1 M - P R AH0 - M AY2 Z D +COMPROMISER K AA1 M - P R AH0 - M AY2 - Z ER0 +COMPROMISES K AA1 M - P R AH0 - M AY2 - Z IH0 Z +COMPROMISING K AA1 M - P R AH0 - M AY2 - Z IH0 NG +COMPSTON K AA1 M P - S T AH0 N +COMPTEK K AA1 M P - T EH2 K +COMPTON K AA1 M P - T AH0 N +COMPTON'S K AA1 M P - T AH0 N Z +COMPTROLLER K AH0 N - T R OW1 - L ER0 +COMPTROLLER'S K AH0 N - T R OW1 - L ER0 Z +COMPTROLLER'S(2) K AA1 M - T R OW2 - L ER0 Z +COMPTROLLER(2) K AA1 N - T R OW2 - L ER0 +COMPTRONIX K AA2 M P - T R AA1 - N IH2 K S +COMPUADD K AA1 M - P Y UW0 - AE2 D +COMPUCHEM K AA1 M - P Y UW0 - K EH2 M +COMPUDYNE K AA1 M - P Y UW0 - D AY2 N +COMPUFUND K AA1 M - P Y UW0 - F AH2 N D +COMPUGRAPHIC K AA2 M - P Y UW0 - G R AE1 - F IH0 K +COMPULSION K AH0 M - P AH1 L - SH AH0 N +COMPULSIONS K AH0 M - P UH1 L - SH AH0 N Z +COMPULSIVE K AH0 M - P AH1 L - S IH0 V +COMPULSIVELY K AH0 M - P AH1 L - S IH0 V - L IY0 +COMPULSORY K AH0 M - P AH1 L - S ER0 - IY0 +COMPUMAT K AA1 M - P Y UW0 - M AE2 T +COMPUNCTION K AH0 M - P AH1 NG K - SH AH0 N +COMPUSA K AA1 M - P Y UW1 - EH1 - S EY1 +COMPUSA'S K AA1 M - P Y UW1 - EH1 - S EY1 Z +COMPUSERVE K AA1 M - P Y UW0 - S ER0 V +COMPUSERVE'S K AA1 M - P Y UW0 - S ER0 V Z +COMPUTALOG K AA1 M - P Y UW0 - T AE2 - L AO0 G +COMPUTATION K AA2 M - P Y AH0 - T EY1 - SH AH0 N +COMPUTATIONAL K AA2 M - P Y UW0 - T EY1 - SH AH0 - N AH0 L +COMPUTATIONS K AA2 M - P Y UW0 - T EY1 - SH AH0 N Z +COMPUTE K AH0 M - P Y UW1 T +COMPUTED K AH0 M - P Y UW1 - T AH0 D +COMPUTED(2) K AH0 M - P Y UW1 - T IH0 D +COMPUTER K AH0 M - P Y UW1 - T ER0 +COMPUTER'S K AH0 M - P Y UW1 - T ER0 Z +COMPUTERCRAFT K AH0 M - P Y UW1 - T ER0 - K R AE2 F T +COMPUTERIZATION K AH0 M - P Y UW2 - T ER0 - IH0 - Z EY1 - SH AH0 N +COMPUTERIZE K AH0 M - P Y UW1 - T ER0 - AY2 Z +COMPUTERIZED K AH0 M - P Y UW1 - T ER0 - AY2 Z D +COMPUTERIZING K AH0 M - P Y UW1 - T ER0 - AY2 - Z IH0 NG +COMPUTERLAND K AH0 M - P Y UW1 - T ER0 - L AE2 N D +COMPUTERLAND'S K AH0 M - P Y UW1 - T ER0 - L AE2 N D Z +COMPUTERLIKE K AH0 M - P Y UW1 - T ER0 - L AY2 K +COMPUTERS K AH0 M - P Y UW1 - T ER0 Z +COMPUTERS' K AH0 M - P Y UW1 - T ER0 Z +COMPUTERVISION K AH0 M - P Y UW1 - T ER0 - V IH2 - ZH AH0 N +COMPUTERWORLD K AH0 M - P Y UW1 - T ER0 - W ER2 L D +COMPUTES K AH0 M - 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F EH1 - SH AH0 N Z +CONFETTI K AH0 N - F EH1 - T IY0 +CONFIDANT K AA1 N - F AH0 - D AA2 N T +CONFIDANTE K AA1 N - F AH0 - D AE2 N T +CONFIDANTS K AA1 N - F AH0 - D AE2 N T S +CONFIDE K AH0 N - F AY1 D +CONFIDED K AH0 N - F AY1 - D AH0 D +CONFIDED(2) K AH0 N - F AY1 - D IH0 D +CONFIDENCE K AA1 N - F AH0 - D AH0 N S +CONFIDENCE'S K AA1 N - F AH0 - D AH0 N - S AH0 Z +CONFIDENCES K AA1 N - F AH0 - D AH0 N - S IH0 Z +CONFIDENT K AA1 N - F AH0 - D AH0 N T +CONFIDENTIAL K AA2 N - F AH0 - D EH1 N - SH AH0 L +CONFIDENTIAL(2) K AA2 N - F AH0 - D EH1 N - CH AH0 L +CONFIDENTIALITY K AA2 N - F AH0 - D EH2 N - SH IY0 - AE1 - L AH0 - T IY0 +CONFIDENTIALITY(2) K AA2 N - F AH0 - D EH2 N - CH IY0 - AE1 - L AH0 - T IY0 +CONFIDENTIALLY K AA2 N - F AH0 - D EH1 N - SH AH0 - L IY0 +CONFIDENTIALLY(2) K AA2 N - F AH0 - D EH1 N - CH AH0 - L IY0 +CONFIDENTLY K AA1 N - F AH0 - D AH0 N T - L IY0 +CONFIDES K AH0 N - F AY1 D Z +CONFIDING K AH0 N - F AY1 - D IH0 NG +CONFIGURATION K AH0 N - F IH2 - G Y ER0 - EY1 - SH AH0 N +CONFIGURATIONS K AH0 N - 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ZH AH0 N Z +CONG K AO1 NG +CONGA K AO1 NG - G AH0 +CONGDON K AA1 NG - D AH0 N +CONGEAL K AH0 N - JH IY1 L +CONGEALED K AH0 N - JH IY1 L D +CONGENIAL K AH0 N - JH IY1 - N Y AH0 L +CONGENIALITY K AH0 N - JH IY2 - N IY0 - AE1 - L AH0 - T IY0 +CONGENITAL K AH0 N - JH EH1 - N AH0 - T AH0 L +CONGER K AO1 NG - ER0 +CONGEST K AH0 N - JH EH1 S T +CONGESTED K AH0 N - JH EH1 - S T AH0 D +CONGESTED(2) K AH0 N - JH EH1 - S T IH0 D +CONGESTION K AH0 N - JH EH1 S - CH AH0 N +CONGESTIVE K AH0 N - JH EH1 - S T IH0 V +CONGLETON K AA1 NG - G AH0 L - T AA0 N +CONGLOMERATE K AH0 N - G L AA1 - M ER0 - AH0 T +CONGLOMERATE'S K AH0 N - G L AA1 - M ER0 - AH0 T S +CONGLOMERATES K AH0 N - G L AA1 - M ER0 - AH0 T S +CONGLOMERATION K AH0 N - G L AA2 - M ER0 - EY1 - SH AH0 N +CONGO K AA1 NG - G OW0 +CONGRATULATE K AH0 N - G R AE1 - CH AH0 - L EY2 T +CONGRATULATED K AH0 N - G R AE1 - CH AH0 - L EY2 - T IH0 D +CONGRATULATING K AH0 N - G R AE1 - CH AH0 - L EY2 - T IH0 NG +CONGRATULATION K AH0 N - G R AE2 - CH AH0 - L EY1 - 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N OW0 - L IY0 +CONOVER K AA1 - N AH0 - V ER0 +CONQUER K AA1 NG - K ER0 +CONQUERED K AA1 NG - K ER0 D +CONQUERING K AA1 NG - K ER0 - IH0 NG +CONQUEROR K AA1 NG - K ER0 - ER0 +CONQUEROR'S K AA1 NG - K ER0 - ER0 Z +CONQUERORS K AA1 NG - K ER0 - ER0 Z +CONQUERS K AA1 NG - K ER0 Z +CONQUEST K AA1 NG - K W EH0 S T +CONQUEST'S K AA1 NG - K W EH0 S T S +CONQUESTS K AA1 N - K W EH2 S T S +CONQUESTS(2) K AA1 N - K W EH2 S S +CONQUESTS(3) K AA1 N - K W EH2 S +CONRAC K AA1 N - R AE0 K +CONRAD K AA1 N - R AE0 D +CONRAD'S K AA1 N - R AE0 D Z +CONRADES K AH0 N - R EY1 D Z +CONRADI K AA0 N - R AA1 - D IY0 +CONRADINE K AA1 N - R AH0 - D AY2 N +CONRADS K AA1 N - R AE0 D Z +CONRADT K AA1 N - R AE0 T +CONRADY K AH0 N - R AA1 - D IY0 +CONRAIL K AA1 N - R EY2 L +CONRAIL'S K AA1 N - R EY2 L Z +CONRAN K AA1 N - R AH0 N +CONRATH K AA1 N - R AH0 TH +CONREY K AA1 N - R IY0 +CONROE K AA1 N - R OW0 +CONROW K AA1 N - R OW0 +CONROY K AO1 N - R OY0 +CONRY K AA1 N - R IY0 +CONS K AA1 N Z +CONSALVO K AA0 N - S AA1 L - 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S AH0 - L EY1 - SH AH0 N +CONSOLATIONS K AA2 N - S AH0 - L EY1 - SH AH0 N Z +CONSOLE K AA1 N - S OW0 L +CONSOLE(2) K AH0 N - S OW1 L +CONSOLED K AH0 N - S OW1 L D +CONSOLES K AH0 N - S OW1 L Z +CONSOLI K AA0 N - S OW1 - L IY0 +CONSOLIDATE K AH0 N - S AA1 - L IH0 - D EY2 T +CONSOLIDATED K AH0 N - S AA1 - L AH0 - D EY2 - T AH0 D +CONSOLIDATED'S K AH0 N - S AA1 - L IH0 - D EY2 - T IH0 D Z +CONSOLIDATES K AH0 N - S AA1 - L IH0 - D EY2 T S +CONSOLIDATING K AH0 N - S AA1 - L AH0 - D EY2 - T IH0 NG +CONSOLIDATION K AH0 N - S AA2 - L AH0 - D EY1 - SH AH0 N +CONSOLIDATIONS K AH0 N - S AA2 - L IH0 - D EY1 - SH AH0 N Z +CONSOLIDATOR K AH0 N - S AA1 - L IH0 - D EY2 - T ER0 +CONSOLIDATORS K AH0 N - S AA1 - L IH0 - D EY2 - T ER0 Z +CONSOLING K AH0 N - S OW1 - L IH0 NG +CONSOLO K AA0 N - S OW1 - L OW0 +CONSONANT K AA1 N - S AH0 - N AH0 N T +CONSONANTAL K AA2 N - S AH0 - N AA1 N - T AH0 L +CONSONANTAL(2) K AA2 N - S AH0 - N AA1 - N AH0 L +CONSONANTS K AA1 N - S AH0 - N AH0 N T S +CONSORT K AH0 N - S AO1 R T +CONSORTIA K AH0 N - S AO1 R - SH AH0 +CONSORTING K AH0 N - S AO1 R - T IH0 NG +CONSORTIUM K AH0 N - S AO1 R - SH IY0 - AH0 M +CONSORTIUM'S K AH0 N - S AO1 R - SH IY0 - AH0 M Z +CONSORTIUM'S(2) K AH0 N - S AO1 R - SH Y AH0 M Z +CONSORTIUM(2) K AH0 N - S AO1 R - SH Y AH0 M +CONSORTIUMS K AH0 N - S AO1 R - SH AH0 M Z +CONSORTIUMS(2) K AH0 N - S AO1 R - SH Y AH0 M Z +CONSPICUOUS K AH0 N - S P IH1 - K Y UW0 - AH0 S +CONSPICUOUSLY K AH0 N - S P IH1 - K Y UW0 - AH0 S - L IY0 +CONSPIRACIES K AH0 N - S P IH1 - R AH0 - S IY0 Z +CONSPIRACY K AH0 N - S P IH1 - R AH0 - S IY0 +CONSPIRATOR K AH0 N - S P IH1 - R AH0 - T ER0 +CONSPIRATORIAL K AH0 N - S P IH2 - R AH0 - T AO1 - R IY0 - AH0 L +CONSPIRATORIALLY K AH0 N - S P IH2 - R AH0 - T AO1 - R IY0 - AH0 - L IY0 +CONSPIRATORIALLY(2) K AH0 N - S P IH2 - R AH0 - T AO1 - R Y AH0 - L IY0 +CONSPIRATORS K AH0 N - S P IH1 - R AH0 - T ER0 Z +CONSPIRE K AH0 N - S P AY1 - ER0 +CONSPIRED K AH0 N - S P AY1 - ER0 D +CONSPIRING K AH0 N - S P AY1 - R IH0 NG +CONSTABLE K AA1 N - S T AH0 - B AH0 L +CONSTABLES K AA1 N - S T AH0 - B AH0 L Z +CONSTABULARY K AH0 N - S T AE1 - B Y AH0 - L EH2 - R IY0 +CONSTANCE K AA1 N - S T AH0 N S +CONSTANCY K AA1 N - S T AH0 N - S IY0 +CONSTANT K AA1 N - S T AH0 N T +CONSTANT'S K AA1 N - S T AH0 N T S +CONSTANTA K AA0 N - S T AA1 N - T AH0 +CONSTANTIN K AH0 N - S T AE1 N - T IH0 N +CONSTANTINA K AA0 N - S T AA0 N - T IY1 - N AH0 +CONSTANTINE K AA1 N - S T AH0 N - T IY2 N +CONSTANTINE(2) K AA1 N - S T AH0 N - T AY2 N +CONSTANTINO K AA2 N - S T AH0 N - T IY1 - N OW0 +CONSTANTINOPLE K AA2 N - S T AE0 N - T AH0 - N OW1 - P AH0 L +CONSTANTINOS K AA2 N - S T AH0 N - T IY1 - N OW0 S +CONSTANTLY K AA1 N - S T AH0 N T - L IY0 +CONSTANTS K AA1 N - S T AH0 N T S +CONSTAR K AA1 N - S T AA2 R +CONSTELLATION K AA2 N - S T AH0 - L EY1 - SH AH0 N +CONSTELLATION'S K AA2 N - S T AH0 - L EY1 - SH AH0 N Z +CONSTELLATIONS K AA2 N - S T AH0 - L EY1 - SH AH0 N Z +CONSTERNATION K AA2 N - S T ER0 - N EY1 - SH AH0 N +CONSTIPATE K AA1 N - S T AH0 - P EY2 T +CONSTIPATED K AA1 N - S T AH0 - P EY2 - T AH0 D +CONSTIPATION K AA2 N - S T AH0 - P EY1 - SH AH0 N +CONSTITUENCIES K AH0 N - S T IH1 - CH UW0 - AH0 N - S IY0 Z +CONSTITUENCY K AH0 N - S T IH1 - CH UW0 - AH0 N - S IY0 +CONSTITUENT K AH0 N - S T IH1 - CH UW0 - AH0 N T +CONSTITUENTS K AH0 N - S T IH1 - CH UW0 - AH0 N T S +CONSTITUENTS' K AH0 N - S T IH1 - CH UW0 - AH0 N T S +CONSTITUTE K AA1 N - S T AH0 - T UW2 T +CONSTITUTED K AA1 N - S T AH0 - T UW2 - T AH0 D +CONSTITUTES K AA1 N - S T AH0 - T UW2 T S +CONSTITUTING K AA1 N - S T AH0 - T UW2 - T IH0 NG +CONSTITUTION K AA2 N - S T AH0 - T UW1 - SH AH0 N +CONSTITUTION'S K AA2 N - S T IH0 - T UW1 - SH AH0 N Z +CONSTITUTIONAL K AA2 N - S T AH0 - T UW1 - SH AH0 - N AH0 L +CONSTITUTIONALITY K AA2 N - S T IH0 - T UW2 - SH AH0 - N AE1 - L IH0 - T IY0 +CONSTITUTIONALLY K AA2 N - S T AH0 - T UW1 - SH AH0 N - AH0 L - IY0 +CONSTITUTIONIST K AA2 N - S T AH0 - T UW1 - SH AH0 - N IH0 S T +CONSTITUTIONISTS K AA2 N - S T AH0 - T UW1 - SH AH0 - N IH0 S T S +CONSTITUTIONISTS(2) K AA2 N - S T AH0 - T UW1 - SH AH0 N - IH0 S S +CONSTITUTIONISTS(3) K AA2 N - S T AH0 - T UW1 - SH AH0 N - IH0 S +CONSTITUTIONS K AA2 N - S T IH0 - T UW1 - SH AH0 N Z +CONSTRAIN K AH0 N - S T R EY1 N +CONSTRAINED K AH0 N - S T R EY1 N D +CONSTRAINING K AH0 N - S T R EY1 - N IH0 NG +CONSTRAINS K AH0 N - S T R EY1 N Z +CONSTRAINT K AH0 N - S T R EY1 N T +CONSTRAINTS K AH0 N - S T R EY1 N T S +CONSTRICT K AH0 N - S T R IH1 K T +CONSTRICTED K AH0 N - S T R IH1 K - T AH0 D +CONSTRICTING K AH0 N - S T R IH1 K - T IH0 NG +CONSTRICTION K AH0 N - S T R IH1 K - SH AH0 N +CONSTRICTIONS K AH0 N - S T R IH1 K - SH AH0 N Z +CONSTRICTOR K AH0 N - S T R IH1 K - T ER0 +CONSTRICTORS K AH0 N - S T R IH1 K - T ER0 Z +CONSTRUCCIONES K AH0 N - S T R UW1 - CH IY0 - OW2 - N EY0 Z +CONSTRUCT K AH0 N - S T R AH1 K T +CONSTRUCT(2) K AA1 N - S T R AH0 K T +CONSTRUCTED K AH0 N - S T R AH1 K - T AH0 D +CONSTRUCTED(2) K AH0 N - S T R AH1 K - T IH0 D +CONSTRUCTING K AH0 N - S T R AH1 K - T IH0 NG +CONSTRUCTION K AH0 N - S T R AH1 K - SH AH0 N +CONSTRUCTIONIST K AH0 N - S T R AH1 K - SH AH0 - N IH0 S T +CONSTRUCTIONS K AH0 N - S T R AH1 K - SH AH0 N Z +CONSTRUCTIVE K AH0 N - S T R AH1 K - T IH0 V +CONSTRUCTIVELY K AH0 N - S T R AH1 K - T IH0 V - L IY0 +CONSTRUCTOR K AH0 N - S T R AH1 K - T ER0 +CONSTRUCTORS K AH0 N - S T R AH1 K - T ER0 Z +CONSTRUCTS K AH0 N - S T R AH1 K T S +CONSTRUCTS(2) K AA1 N - S T R AH0 K T S +CONSTRUE K AH0 N - S T R UW1 +CONSTRUED K AH0 N - S T R UW1 D +CONSUELA K AH0 N - S W EY1 - L AH0 +CONSUL K AA1 N - S AH0 L +CONSULAR K AA1 N - S AH0 - L ER0 +CONSULATE K AA1 N - S AH0 - L AH0 T +CONSULATES K AA1 N - S AH0 - L AH0 T S +CONSULSHIP K AA1 N - S AH0 L - SH IH2 P +CONSULT K AH0 N - S AH1 L T +CONSULTANCY K AH0 N - S AH1 L - T AH0 N - S IY0 +CONSULTANT K AH0 N - S AH1 L - T AH0 N T +CONSULTANT'S K AH0 N - S AH1 L - T AH0 N T S +CONSULTANTS K AH0 N - S AH1 L - T AH0 N T S +CONSULTANTS' K AH0 N - S AH1 L - T AH2 N T S +CONSULTATION K AA2 N - S AH0 L - T EY1 - SH AH0 N +CONSULTATIONS K AA2 N - S AH0 L - T EY1 - SH AH0 N Z +CONSULTATIVE K AH0 N - S AH1 L - T AH0 - T IH0 V +CONSULTED K AH0 N - S AH1 L - T AH0 D +CONSULTED(2) K AH0 N - S AH1 L - T IH0 D +CONSULTING K AH0 N - S AH1 L - T IH0 NG +CONSULTS K AH0 N - S AH1 L T S +CONSUMABLE K AH0 N - S UW1 - M AH0 - B AH0 L +CONSUME K AH0 N - S UW1 M +CONSUMED K AH0 N - S UW1 M D +CONSUMER K AH0 N - S UW1 - M ER0 +CONSUMER'S K AH0 N - S UW1 - M ER0 Z +CONSUMERISM K AH0 N - S UW1 - M ER0 - IH2 - Z AH0 M +CONSUMERIST K AH0 N - S UW1 - M ER0 - IH0 S T +CONSUMERISTS K AH0 N - S UW1 - M ER0 - IH0 S T S +CONSUMERISTS(2) K AH0 N - S UW1 - M ER0 - IH0 S S +CONSUMERISTS(3) K AH0 N - S UW1 - M ER0 - IH0 S +CONSUMERS K AH0 N - S UW1 - M ER0 Z +CONSUMERS' K AH0 N - S UW1 - M ER0 Z +CONSUMES K AH0 N - S UW1 M Z +CONSUMING K AH0 N - S UW1 - M IH0 NG +CONSUMMATE K AA1 N - S AH0 - M AH0 T +CONSUMMATE(2) K AA1 N - S AH0 - M EY2 T +CONSUMMATED K AA1 N - S AH0 - M EY2 - T AH0 D +CONSUMMATING K AA1 N - S AH0 - M EY2 - T IH0 NG +CONSUMMATION K AA2 N - S AH0 - M EY1 - SH AH0 N +CONSUMPTION K AH0 N - S AH1 M P - SH AH0 N +CONSUMPTION(2) K AH0 N - S AH1 M - SH AH0 N +CONTAC K AA1 N - T AE0 K +CONTACT K AA1 N - T AE2 K T +CONTACTED K AA1 N - T AE2 K - T IH0 D +CONTACTING K AA1 N - T AE2 K - T IH0 NG +CONTACTS K AA1 N - T AE2 K T S +CONTACTS(2) K AA1 N - T AE2 K S +CONTADORA K AA2 N - T AH0 - D AO1 - R AH0 +CONTAGION K AH0 N - T EY1 - JH AH0 N +CONTAGIOUS K AH0 N - T EY1 - JH AH0 S +CONTAGIOUSNESS K AH0 N - T EY1 - JH AH0 S - N AH0 S +CONTAIN K AH0 N - T EY1 N +CONTAINED K AH0 N - T EY1 N D +CONTAINER K AH0 N - T EY1 - N ER0 +CONTAINER'S K AH0 N - T EY1 - N ER0 Z +CONTAINERBOARD K AH0 N - T EY1 - N ER0 - B AO2 R D +CONTAINERIZE K AH0 N - T EY1 - N ER0 - AY2 Z +CONTAINERIZED K AH0 N - T EY1 - N ER0 - AY2 Z D +CONTAINERS K AH0 N - T EY1 - N ER0 Z +CONTAINERS' K AH0 N - T EY1 - N ER0 Z +CONTAINING K AH0 N - T EY1 - N IH0 NG +CONTAINMENT K AH0 N - T EY1 N - M AH0 N T +CONTAINS K AH0 N - T EY1 N Z +CONTAMINANT K AH0 N - T AE1 - M AH0 - N AH0 N T +CONTAMINANTS K AH0 N - T AE1 - M AH0 - N AH0 N T S +CONTAMINATE K AH0 N - T AE1 - M AH0 - N EY2 T +CONTAMINATED K AH0 N - T AE1 - M AH0 - N EY2 - T AH0 D +CONTAMINATED(2) K AH0 N - T AE1 - M AH0 - N EY2 - T IH0 D +CONTAMINATES K AH0 N - T AE1 - M AH0 - N EY2 T S +CONTAMINATING K AH0 N - T AE1 - M AH0 - N EY2 - T IH0 NG +CONTAMINATION K AH0 N - T AE2 - M AH0 - N EY1 - SH AH0 N +CONTANT K AA1 N - T AH0 N T +CONTE K AO1 N T +CONTE(2) K AO1 N - T EY0 +CONTEL K AA1 N - T EH2 L +CONTEMPLATE K AA1 N - T AH0 M - P L EY2 T +CONTEMPLATED K AA1 N - T AH0 M - P L EY2 - T IH0 D +CONTEMPLATES K AA1 N - T AH0 M - P L EY2 T S +CONTEMPLATING K AA1 N - T AH0 M - P L EY2 - T IH0 NG +CONTEMPLATION K AA2 N - T AH0 M - P L EY1 - SH AH0 N +CONTEMPLATIVE K AH0 N - T EH1 M - P L AH0 - T IH0 V +CONTEMPO K AA2 N - T EH1 M - P OW0 +CONTEMPORANEOUS K AH0 N - T EH2 M - P ER0 - EY1 - N IY0 - AH0 S +CONTEMPORANEOUSLY K AH0 N - T EH2 M - P ER0 - EY1 - N IY0 - AH0 S - L IY0 +CONTEMPORARIES K AH0 N - T EH1 M - P ER0 - EH2 - R IY0 Z +CONTEMPORARY K AH0 N - 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T EH1 N T S +CONTEST K AA1 N - T EH0 S T +CONTEST'S K AA1 N - T EH0 S T S +CONTEST(2) K AH0 N - T EH1 S T +CONTESTABLE K AH0 N - T EH1 - S T AH0 - B AH0 L +CONTESTANT K AH0 N - T EH1 - S T AH0 N T +CONTESTANTS K AH0 N - T EH1 - S T AH0 N T S +CONTESTED K AH0 N - T EH1 - S T AH0 D +CONTESTING K AH0 N - T EH1 - S T IH0 NG +CONTESTS K AA1 N - T EH0 S T S +CONTESTS(2) K AH0 N - T EH1 S T S +CONTESTS(3) K AA1 N - T EH0 S S +CONTESTS(4) K AH0 N - T EH1 S S +CONTESTS(5) K AA1 N - T EH0 S +CONTESTS(6) K AH0 N - T EH1 S +CONTEXT K AA1 N - T EH0 K S T +CONTEXTS K AA1 N - T EH2 K S T S +CONTI K AA1 N - T IY0 +CONTIBEL K AA1 N - T IH0 - B AH0 L +CONTICOMMODITY K AA2 N - T IH0 - K AH0 - M AA1 - D IH0 - T IY0 +CONTIGUOUS K AH0 N - T IH1 - G Y UW0 - AH0 S +CONTINENT K AA1 N - T AH0 - N AH0 N T +CONTINENT'S K AA1 N - T AH0 - N AH0 N T S +CONTINENTAL K AA2 N - T AH0 - N EH1 N - T AH0 L +CONTINENTAL'S K AA2 N - T AH0 - N EH1 N - T AH0 L Z +CONTINENTAL(2) K AA2 N - T AH0 - N EH1 - N AH0 L +CONTINENTALLY K AA2 N - 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AH0 - T IY0 +CONTINUOUS K AH0 N - T IH1 - N Y UW0 - AH0 S +CONTINUOUSLY K AH0 N - T IH1 - N Y UW0 - AH0 S - L IY0 +CONTINUUM K AH0 N - T IH1 - N Y UW0 - AH0 M +CONTOIS K AH0 N - T W AA1 +CONTORT K AH0 N - T AO1 R T +CONTORTED K AH0 N - T AO1 R - T AH0 D +CONTORTION K AH0 N - T AO1 R - SH AH0 N +CONTORTIONIST K AH0 N - T AO1 R - SH AH0 N - AH0 S T +CONTORTIONS K AH0 N - T AO1 R - SH AH0 N Z +CONTORTS K AH0 N - T AO1 R T S +CONTOS K AA1 N - T OW0 Z +CONTOUR K AA1 N - T UH2 R +CONTOURED K AA1 N - T UH2 R D +CONTOURS K AA1 N - T UH2 R Z +CONTRA K AA1 N - T R AH0 +CONTRABAND K AA1 N - T R AH0 - B AE2 N D +CONTRABASSOON K AA1 N - T R AH0 - B AE0 - S UW1 N +CONTRACEPTION K AA2 N - T R AH0 - S EH1 P - SH AH0 N +CONTRACEPTIVE K AA2 N - T R AH0 - S EH1 P - T IH0 V +CONTRACEPTIVES K AA2 N - T R AH0 - S EH1 P - T IH0 V Z +CONTRACT K AA1 N - T R AE2 K T +CONTRACT'S K AA1 N - T R AE2 K T S +CONTRACT(2) K AH0 N - T R AE1 K T +CONTRACTED K AA1 N - T R AE0 K - T AH0 D +CONTRACTING K AA1 N - T R AE0 K - T IH0 NG +CONTRACTION K AH0 N - T R AE1 K - SH AH0 N +CONTRACTIONARY K AH0 N - T R AE1 K - SH AH0 - N EH0 - R IY0 +CONTRACTIONS K AH0 N - T R AE1 K - SH AH0 N Z +CONTRACTOR K AA1 N - T R AE2 K - T ER0 +CONTRACTOR'S K AA1 N - T R AE2 K - T ER0 Z +CONTRACTORS K AA1 N - T R AE2 K - T ER0 Z +CONTRACTORS' K AH0 N - T R AE1 K - T ER0 Z +CONTRACTS K AA1 N - T R AE2 K T S +CONTRACTS(2) K AH0 N - T R AE1 K T S +CONTRACTUAL K AH0 N - T R AE1 K - CH UW0 - AH0 L +CONTRACTUALLY K AH0 N - T R AE1 K - CH UW0 - AH0 - L IY0 +CONTRADICT K AA2 N - T R AH0 - D IH1 K T +CONTRADICTED K AA2 N - T R AH0 - D IH1 K - T AH0 D +CONTRADICTING K AA2 N - T R AH0 - D IH1 K - T IH0 NG +CONTRADICTION K AA2 N - T R AH0 - D IH1 K - SH AH0 N +CONTRADICTIONS K AA2 N - T R AH0 - D IH1 K - SH AH0 N Z +CONTRADICTORILY K AA2 N - T R AH0 - D IH1 K - T ER0 - AH0 - L IY0 +CONTRADICTORY K AA2 N - T R AH0 - D IH1 K - T ER0 - IY0 +CONTRADICTS K AA2 N - T R AH0 - D IH1 K T S +CONTRAN K AA1 N - T R AE2 N +CONTRAPTION K AH0 N - T R AE1 P - SH AH0 N +CONTRAPTIONS K AH0 N - T R AE1 P - SH AH0 N Z +CONTRARIAN K AA2 N - T R EH1 - R IY0 - AH0 N +CONTRARIANS K AH0 N - T R EH1 - R IY0 - AH0 N Z +CONTRARINESS K AA1 N - T R EH0 - R IY0 - N AH0 S +CONTRARY K AA1 N - T R EH0 - R IY0 +CONTRARY(2) K AH0 N - T R EH1 - R IY0 +CONTRAS K AA1 N - T R AH0 Z +CONTRAS' K AA1 N - T R AH0 Z +CONTRAS(2) K AO1 N - T R AH0 Z +CONTRAST K AA1 N - T R AE0 S T +CONTRAST(2) K AH0 N - T R AE1 S T +CONTRASTED K AH0 N - T R AE1 - S T AH0 D +CONTRASTING K AH0 N - T R AE1 - S T IH0 NG +CONTRASTS K AA1 N - T R AE0 S T S +CONTRASTS(2) K AH0 N - T R AE1 S T S +CONTRASTS(3) K AA1 N - T R AE0 S S +CONTRASTS(4) K AH0 N - T R AE1 S S +CONTRASTS(5) K AA1 N - T R AE0 S +CONTRASTS(6) K AH0 N - T R AE1 S +CONTRAVENE K AA1 N - T R AH0 - V IY2 N +CONTRAVENTION K AA2 N - T R AH0 - V EH1 N - CH AH0 N +CONTRERAS K AA0 N - T R EH1 - R AA0 Z +CONTRETEMPS K AA1 N - T R AH0 - T EH2 M P S +CONTRIBUTE K AH0 N - T R IH1 - B Y UW0 T +CONTRIBUTED K AH0 N - T R IH1 - B Y UW0 - T IH0 D +CONTRIBUTES K AH0 N - 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OW2 - V ER0 +CORDOVEZ K AO2 R D - OW1 - V EH0 Z +CORDRAY K AO1 R D - R EY2 +CORDREY K AO1 R - D R IY0 +CORDRY K AO1 R - D ER0 - IY0 +CORDS K AO1 R D Z +CORDTS K AO1 R D T S +CORDUROY K AO1 R - D ER0 - OY2 +CORDY K AO1 R - D IY0 +CORE K AO1 R +COREA K AO0 - R IY1 - AH0 +COREL K AO2 - R EH1 L +CORELL K AO2 - R EH1 L +CORELLA K ER0 - EH1 - L AH0 +COREN K AO1 - R AH0 N +CORES K AO1 R Z +CORESPONDENT K AO2 - R AH0 - S P AA1 N - D AH0 N T +CORESTATE K AO1 R - S T EY2 T +CORESTATES K AO1 R S - T EY2 T S +CORESTATES' K AO1 - R AH0 - S T EY2 T S +CORETECH K AO1 R - T EH2 K +CORETTA K AO0 - R EH1 - T AH0 +CORETTE K AO1 - R EH1 T +COREXIT K AO0 - R EH1 K - S IH0 T S +COREY K AO1 - R IY0 +CORGI K AO1 R - G IY0 +CORIA K AO1 - R IY0 - AH0 +CORIANDER K AO2 - R IY0 - AE1 N - D ER0 +CORIELL K AO1 - R IY0 L +CORIGLIANO K ER0 - IY0 - G L IY0 - AA1 - N OW0 +CORINA K AO2 - R IY1 - N AH0 +CORINN K AO1 - R IH0 N +CORINN'S K AO1 - R IH0 N Z +CORINNA K AO2 - R IH1 - N AH0 +CORINNE K ER0 - IY1 N +CORINTH K AO1 - R AH0 N TH +CORINTHIAN K ER0 - IH1 N - TH IY0 - AH0 N +CORINTO K AO2 - R IH1 N - T OW0 +CORIO K AO1 - R IY0 - OW0 +CORISA K ER0 - IY1 - S AH0 +CORISSA K AO2 - R IH1 - S AH0 +CORK K AO1 R K +CORKEN K AO1 R - K AH0 N +CORKER K AO1 R - K ER0 +CORKERN K AO1 R - K ER0 N +CORKERY K AO1 R - K ER0 - IY0 +CORKILL K AO1 R - K IH2 L +CORKING K AO1 R - K IH0 NG +CORKINS K AO1 R - K IH0 N Z +CORKRAN K AO1 R - K R AH0 N +CORKS K AO1 R K S +CORKSCREW K AO1 R K - S K R UW2 +CORKUM K AO1 R - K AH0 M +CORKWOOD K AO1 R K - W UH2 D +CORKY K AO1 R - K IY0 +CORL K AO1 R L +CORLE K AO1 - R AH0 L +CORLEONE K AO1 R - L IY0 - OW2 N +CORLEONE(2) K AO1 R - L IY0 - OW2 - N IY0 +CORLESS K AO1 R - L IH0 S +CORLETT K AO1 R - L IH0 T +CORLEW K AO1 R - L UW0 +CORLEY K AO1 R - L IY0 +CORLISS K AO1 R - L IH0 S +CORMAC K AO1 R - M AH0 K +CORMACK K AO1 R - M AH0 K +CORMAN K AO1 R - M AH0 N +CORMANY K AO1 R - M AH0 - N IY0 +CORMEN K AO1 R - M AH0 N +CORMEN(2) K AO1 R - M IH0 N +CORMICAN K AO1 R - M IH0 - K AH0 N +CORMICK K AO1 R - M IH0 K +CORMIER K AO1 R - M IY0 - ER0 +CORMORANT K AO1 R - M ER0 - AH0 N T +CORMORANTS K AO1 R - M ER0 - AH0 N T S +CORN K AO1 R N +CORNACCHIA K ER0 - N AA1 - K IY0 - AH0 +CORNALL K AO1 R - N AH0 L +CORNBLUME K AO1 R N - B L UW2 M +CORNBREAD K AO1 R N - B R EH2 D +CORNCOB K AO1 R N - K AA2 B +CORNCRIB K AO1 R N - K R IH2 B +CORNE K AO1 R N +CORNEA K AO1 R - N IY0 - AH0 +CORNEAL K AO2 R - N IY1 L +CORNEAS K AO1 R - N IY0 - AH0 Z +CORNEJO K ER0 - N EY1 - Y OW0 +CORNEL K AO1 R - N AH0 L +CORNELA K ER0 - N EH1 - L AH0 +CORNELIA K AO0 R - N IY1 - L Y AH0 +CORNELIO K ER0 - N EH1 - L IY0 - OW0 +CORNELIOUS K AO1 R - N IH0 - L IY0 - IH0 S +CORNELIOUS(2) K AO0 R - N IY1 L - Y IH0 S +CORNELISON K ER0 - N EH1 - L IH0 - S AH0 N +CORNELIUS K AO0 R - N IY1 - L Y AH0 S +CORNELIUSON K AO2 R - N IH0 - L IY0 - UW1 - S AH0 N +CORNELL K AO0 R - N EH1 L +CORNELL'S K AO0 R - N EH1 L Z +CORNELLE K ER0 - N EH1 L +CORNER K AO1 R - N ER0 +CORNERBACK K AO1 R - N ER0 - B AE2 K +CORNERED K AO1 R - N ER0 D +CORNERING K AO1 R - N ER0 - IH0 NG +CORNERS K AO1 R - N ER0 Z +CORNERSTONE K AO1 R - N ER0 - S T OW2 N +CORNERSTONES K AO1 R - N ER0 - S T OW2 N Z +CORNET K AO0 R - N EH1 T +CORNETT K AO1 R - N IH0 T +CORNETTE K ER0 - N EH1 T +CORNETTIST K AO0 R - N EH1 - T AH0 S T +CORNEY K AO1 R - N IY0 +CORNFELD K AO1 R N - F EH2 L D +CORNFIELD K AO1 R N - F IY2 L D +CORNFIELDS K AO1 R N - F IY1 L D Z +CORNFLOWER K AO1 R N - F L AW2 - ER0 +CORNFLOWERS K AO1 R N - F L AW2 - ER0 Z +CORNFORTH K AO1 R N - F ER0 TH +CORNHUSK K AO1 R N - HH AH2 S K +CORNHUSKING K AO1 R N - HH AH2 - S K IH0 NG +CORNIA K AO1 R - N IY0 - AH0 +CORNICHE K AO1 R - N IH0 SH +CORNICK K AO1 R - N IH0 K +CORNIE K AO1 R - N IY0 +CORNIEL K AO2 R - N IY1 L +CORNIEL'S K AO2 R - N IY1 L Z +CORNING K AO1 R - N IH0 NG +CORNING'S K AO1 R - N IH0 NG Z +CORNISH K AO1 R - N IH0 SH +CORNMAN K AO1 R N - M AH0 N +CORNMEAL K AO1 R N - M IY2 L +CORNS K AO1 R N Z +CORNSTALK K AO1 R N - S T AO2 K +CORNSTALKS K AO1 R N - S T AO2 K S +CORNSTARCH K AO1 R N - S T AA2 R CH +CORNUCOPIA K AO2 R - N AH0 - K OW1 - P IY0 - AH0 +CORNWALL K AO1 R N - W AO0 L +CORNWALL'S K AO1 R N - W AO0 L Z +CORNWALLIS K AO0 R N - W AO1 - L AH0 S +CORNWELL K AO1 R N - W EH2 L +CORNY K AO1 R - N IY0 +COROLLA K ER0 - AA1 - L AH0 +COROLLARIES K AO1 - R AH0 - L EH2 - R IY0 Z +COROLLARY K AO1 - R AH0 - L EH2 - R IY0 +COROLOGIS K ER0 - R AA1 - L AH0 - JH IH0 S +CORONA K ER0 - OW1 - N AH0 +CORONA'S K ER0 - OW1 - N AH0 Z +CORONADO K ER0 - OW0 - N AA1 - D OW0 +CORONARY K AO1 - R AH0 - N EH2 - R IY0 +CORONATION K AO2 - R AH0 - N EY1 - SH AH0 N +CORONER K AO1 - R AH0 - N ER0 +CORONER'S K AO1 - R AH0 - N ER0 Z +CORONERS K AO1 - R AH0 - N ER0 Z +CORONET K AO1 - R AH0 - N EH1 T +CORONETS K AO1 - R AH0 - N EH1 T S +CORP K AO1 R P +CORP'S K AO1 R P S +CORP'S(2) K AO1 R - P ER0 - EY1 - SH AH0 N Z +CORP(2) K AO1 R - P ER0 - EY1 - SH AH0 N +CORP. K AO1 R P +CORP.'S K AO1 R P S +CORP.'S(2) K AO1 R - P ER0 - EY1 - SH AH0 N Z +CORP.(2) K AO1 R - P ER0 - EY1 - SH AH0 N +CORPENING K AO1 R - P AH0 - N IH0 NG +CORPORA K AO1 R - P ER0 - AH0 +CORPORACION K AO2 R - P ER0 - AA2 - S IY0 - OW1 N +CORPORAL K AO1 R - P ER0 - AH0 L +CORPORAL(2) K AO1 R - P R AH0 L +CORPORATE K AO1 R - P ER0 - AH0 T +CORPORATE(2) K AO1 R - P R AH0 T +CORPORATES K AO1 R - P ER0 - AH0 T S +CORPORATEWATCH K AO1 R - P R AH0 T - W AA2 CH +CORPORATEWIDE K AO1 R - P ER0 - IH0 T - W AY2 D +CORPORATION K AO2 R - P ER0 - EY1 - SH AH0 N +CORPORATION'S K AO2 R - P ER0 - EY1 - SH AH0 N Z +CORPORATIONS K AO2 R - P ER0 - EY1 - SH AH0 N Z +CORPORATIONS' K AO2 R - P ER0 - EY1 - SH AH0 N Z +CORPORATISM K AO1 R - P ER0 - AH0 - T IH2 - Z AH0 M +CORPORATIST K AO1 R - P ER0 - AH0 - T IH0 S T +CORPS K AO1 R +CORPS' K AO1 R Z +CORPS(2) K AO1 R Z +CORPSE K AO1 R P S +CORPSES K AO1 R P - S AH0 Z +CORPSES(2) K AO1 R P - S IH0 Z +CORPSMAN K AO1 R - M AH0 N +CORPULANT K AO1 R - P Y AH0 - L AH0 N T +CORPUS K AO1 R - P AH0 S +CORPUZ K AO1 R - P UW0 Z +CORR K AO1 R +CORRADI K ER0 - AA1 - D IY0 +CORRADINO K ER0 - AA0 - D IY1 - N OW0 +CORRADO K ER0 - AA1 - D OW0 +CORRAL K ER0 - AE1 L +CORRALES K ER0 - AA1 - L EH0 S +CORRALLED K ER0 - AE1 L D +CORRALLING K ER0 - AE1 - L IH0 NG +CORRAO K AO1 - R AW0 +CORREA K AO1 - R IY0 - AH0 +CORREALE K AO1 - R IY0 - AH0 L +CORRECT K ER0 - EH1 K T +CORRECTED K ER0 - EH1 K - T AH0 D +CORRECTED(2) K ER0 - EH1 K - T IH0 D +CORRECTING K ER0 - EH1 K - T IH0 NG +CORRECTION K ER0 - EH1 K - SH AH0 N +CORRECTIONAL K ER0 - EH1 K - SH AH0 - N AH0 L +CORRECTIONS K ER0 - EH1 K - SH AH0 N Z +CORRECTIVE K ER0 - EH1 K - T IH0 V +CORRECTLY K ER0 - EH1 K T - L IY0 +CORRECTNESS K ER0 - EH1 K T - N AH0 S +CORRECTS K ER0 - EH1 K T S +CORREGIDOR K ER0 - EH1 - G AH0 - D AO0 R +CORREIA K ER0 - EY1 - IY0 - AH0 +CORREIRA K ER0 - EH1 - R AH0 +CORRELATE K AO1 - R AH0 - L EY2 T +CORRELATE(2) K AO1 - R AH0 - L AH0 T +CORRELATED K AO1 - R AH0 - L EY2 - T AH0 D +CORRELATES K AO1 - R AH0 - L AH0 T S +CORRELATES(2) K AO1 - R AH0 - L EY0 T S +CORRELATING K AO1 - R AH0 - L EY0 - T IH0 NG +CORRELATION K AO2 - R AH0 - L EY1 - SH AH0 N +CORRELATIONS K AO2 - R AH0 - L EY1 - SH AH0 N Z +CORRELL K ER0 - EY1 L +CORRENE K AO1 - R IY0 N +CORRENTE K ER0 - EH1 N - T IY0 +CORRENTI K ER0 - EH1 N - T IY0 +CORRESPOND K AO2 - R AH0 - S P AA1 N D +CORRESPONDED K AO2 - R AH0 - S P AA1 N - D IH0 D +CORRESPONDENCE K AO2 - R AH0 - S P AA1 N - D AH0 N S +CORRESPONDENT K AO2 - R AH0 - S P AA1 N - D AH0 N T +CORRESPONDENTS K AO2 - R AH0 - S P AA1 N - D AH0 N T S +CORRESPONDENTS' K AO2 - R AH0 - S P AA1 N - D AH0 N T S +CORRESPONDING K AO2 - R AH0 - S P AA1 N - D IH0 NG +CORRESPONDINGLY K AO2 - R AH0 - S P AA1 N - D IH0 NG - L IY0 +CORRESPONDS K AO2 - R AH0 - S P AA1 N D Z +CORRIB K AO1 - R IH0 B +CORRICK K AO1 - R IH0 K +CORRIDOR K AO1 - R AH0 - D ER0 +CORRIDOR(2) K AO1 - R IH0 - D ER0 +CORRIDORS K AO1 - R IH0 - D ER0 Z +CORRIDORS(2) K AO1 - R AH0 - D ER0 Z +CORRIE K AO1 - R IY0 +CORRIERE K AO2 R - Y EH1 R +CORRIGAN K AO1 - R IH0 - G AH0 N +CORRIGAN'S K AO1 - R IH0 - G AH0 N Z +CORRIHER K AO1 - R IH0 - HH ER0 +CORRIN K AO1 - R IH0 N +CORRINA K ER0 - IY1 - N AH0 +CORRINGTON K AO1 - R IH0 NG - T AH0 N +CORRIVEAU K AO1 - R IH0 - V OW0 +CORROBORATE K ER0 - AA1 - B ER0 - EY2 T +CORROBORATED K ER0 - AA1 - B ER0 - EY2 - T IH0 D +CORROBORATES K ER0 - AO1 - B ER0 - EY2 T S +CORROBORATING K ER0 - AA1 - B ER0 - EY2 - T IH0 NG +CORROBORATION K ER0 - AO2 - B ER0 - EY1 - SH AH0 N +CORROBORATIVE K ER0 - AA1 - B ER0 - AH0 - T IH2 V +CORROBORATIVE(2) K ER0 - AA1 - B R AH0 - T IH2 V +CORRODE K ER0 - OW1 D +CORRODED K ER0 - OW1 - D IH0 D +CORRODES K ER0 - OW1 D Z +CORRON K ER0 - AO1 N +CORROON K AO0 - R UW1 N +CORROSION K ER0 - OW1 - ZH AH0 N +CORROSIVE K ER0 - OW1 - S IH0 V +CORROW K AO1 - R OW0 +CORRUGATE K AO1 - R AH0 - G EY2 T +CORRUGATED K AO1 - R AH0 - G EY2 - T AH0 D +CORRUGATED(2) K AO1 - R AH0 - G EY2 - T IH0 D +CORRUPT K ER0 - AH1 P T +CORRUPTED K ER0 - AH1 P - T IH0 D +CORRUPTING K ER0 - AH1 P - T IH0 NG +CORRUPTION K ER0 - AH1 P - SH AH0 N +CORRUPTIONS K ER0 - AH1 P - SH AH0 N Z +CORRUPTIVE K ER0 - AH1 P - T IH0 V +CORRUPTS K ER0 - AH1 P T S +CORRY K AO1 - R IY0 +CORSA K AO1 - S AH0 +CORSAGE K AO0 R - S AA1 ZH +CORSAIR K AO1 R - S EH0 R +CORSARO K ER0 - S AA1 - R OW0 +CORSE K AO1 R S +CORSELLO K ER0 - S EH1 - L OW0 +CORSENTINO K ER0 - S EH0 N - T IY1 - N OW0 +CORSER K AO1 R - S ER0 +CORSET K AO1 R - S AH0 T +CORSETTI K ER0 - S EH1 - T IY0 +CORSI K AO1 R - S IY0 +CORSICA K AO1 R - S IH0 - K AH0 +CORSICAN K AO1 R - S AH0 - K AH0 N +CORSICAS K AO1 R - S IH0 - K AH0 Z +CORSIGLIA K ER0 - S IY1 - G L IY0 - AH0 +CORSINI K ER0 - S IY1 - N IY0 +CORSO K AO1 R - S OW0 +CORSON K AO1 R - S AH0 N +CORT K AO1 R T +CORTE K AO1 R T +CORTELYOU K AO1 R - T EH0 - L Y UW2 +CORTEN K AO1 R - T EH0 N +CORTENS K AO1 R - T EH0 N Z +CORTENS' K AO1 R - T EH0 N Z +CORTER K AO1 R - T ER0 +CORTES K AO1 R T S +CORTESE K ER0 - T EY1 - Z IY0 +CORTESI K ER0 - T EH1 - S IY0 +CORTEX K AO1 R - T EH0 K S +CORTEZ K AO0 R - T EH1 Z +CORTI K AO1 R - T IY0 +CORTICAL K AO1 R - T AH0 - K AH0 L +CORTICOSTEROID K AO2 R - T IH0 - K OW0 - S T EH1 - R OY2 D +CORTICOSTEROIDS K AO2 R - T IH0 - K OW0 - S T EH1 - R OY2 D Z +CORTIN K AO1 R - T IH0 N +CORTINA K ER0 - T IY1 - N AH0 +CORTINAS K AO1 R - T IY0 - N AH0 Z +CORTINE K AO0 R - T IY1 N +CORTINES K AO0 R - T IY1 N Z +CORTISONE K AO1 R - T AH0 - Z OW2 N +CORTLAND K AO1 R T - L AH0 N D +CORTNER K AO1 R T - N ER0 +CORTOPASSI K ER0 - T OW0 - P AA1 - S IY0 +CORTRIGHT K AO1 R T - R AY0 T +CORUM K AO1 - R AH0 M +CORUNDUM K ER0 - AH1 N - D AH0 M +CORVA K AO1 R - V AH0 +CORVALLIS K AO2 R - V AE1 - L IH0 S +CORVETTE K AO0 R - V EH1 T +CORVETTES K AO2 R - V EH1 T S +CORVIN K AO1 R - V IH0 N +CORVINO K ER0 - V IY1 - N OW0 +CORVO K AO1 R - V OW0 +CORVUS K AO1 R - V AH0 S +CORWIN K AO1 R - W IH0 N +CORY K AO1 - R IY0 +CORZINE K ER0 - Z IY1 - N IY0 +CORZO K AO1 R - Z OW0 +COS K AO1 S +COSA K OW1 - S AH0 +COSATU K AH0 - S AA1 - T UW2 +COSATU'S K AH0 - S AA1 - T UW2 Z +COSBY K AO1 Z - B IY0 +COSBY'S K AO1 Z - B IY0 Z +COSCIA K OW1 S - CH AH0 +COSE K OW1 Z +COSELL K OW0 - S EH1 L +COSENS K OW1 - S AH0 N Z +COSENTINO K OW2 - S EH0 N - T IY1 - N OW0 +COSENZA K OW2 - S EH1 N - Z AH0 +COSERATZ K OW1 - Z ER0 - AE2 T S +COSETTE K AH0 - S EH1 T +COSEY K OW1 - Z IY0 +COSGRIFF K AA1 S - G R IH0 F +COSGROVE K AA1 S - G R AH0 V +COSI K OW1 - S IY0 +COSIC K OW1 - S IH0 K +COSIC(2) K OW1 - Z IH0 K +COSIC(3) K AA1 - S IH0 K +COSIMA K OW0 - S IY1 - M AH0 +COSIO K OW1 - S IY0 - OW0 +COSLETT K AA1 S - L IH0 T +COSMA K OW1 Z - M AH0 +COSMAIR K AO1 Z - M EH2 R +COSMAN K AA1 S - M AH0 N +COSME K OW1 Z M +COSMETIC K AA0 Z - M EH1 - T IH0 K +COSMETICALLY K AO2 Z - M EH1 - T IH0 K - L IY0 +COSMETICS K AA0 Z - M EH1 - T IH0 K S +COSMETOLOGY K AA2 Z - M AH0 - T AA1 - L AH0 - JH IY0 +COSMIC K AA1 Z - M IH0 K +COSMO K AO1 Z - M OW0 +COSMO'S K AA1 Z - M OW0 Z +COSMOLOGY K AO0 Z - M AO1 - L AH0 - JH IY0 +COSMONAUT K AO1 Z - M AH0 - N AO2 T +COSMONAUTS K AO1 Z - M AH0 - N AO2 T S +COSMOPOLITAN K AA2 Z - M AH0 - P AA1 - L AH0 - T AH0 N +COSMOPULOS K AO2 Z - M AH0 - P Y UW1 - L OW0 S +COSMOS K AA1 Z - M OW0 S +COSNER K AA1 S - N ER0 +COSPER K AA1 - S P ER0 +COSPONSOR K OW2 S - P AO1 N - S ER0 +COSPONSORS K OW2 S - P AO1 N - S ER0 Z +COSS K AO1 S +COSSA K AO1 - S AH0 +COSSACK K AO1 - S AH0 K +COSSACKS K AA1 - S AE0 K S +COSSAIRT K AA1 - S ER0 T +COSSAT K AA1 - S AE0 T +COSSET K AA1 - S AH0 T +COSSETTE K AH0 - S EH1 T +COSSEY K AA1 - S IY0 +COSSIGA K AO2 - S IY1 - G AH0 +COSSIN K AA1 - S IH0 N +COSSMAN K AO1 S - M AH0 N +COST K AA1 S T +COST(2) K AO1 S T +COSTA K AO1 - S T AH0 +COSTABILE K AO1 - S T AH0 - B AY2 L +COSTAIN K OW2 - S T EY1 N +COSTALES K AA1 - S T AH0 L Z +COSTANO K OW0 - S T AA1 - N OW0 +COSTANTINI K OW0 - S T AA0 N - T IY1 - N IY0 +COSTANTINO K OW0 - S T AA0 N - T IY1 - N OW0 +COSTANZA K OW0 - S T AA1 N - Z AH0 +COSTANZO K OW0 - S T AA1 N - Z OW0 +COSTAR K OW1 - S T AA0 R +COSTARS K OW1 - S T AA0 R Z +COSTAS K AO1 - S T AH0 Z +COSTCO K AO1 S T - K OW0 +COSTCUTTING K AO1 S T - K AH2 - T IH0 NG +COSTE K OW1 S T +COSTED K AA1 - S T IH0 D +COSTEIRA K OW2 - S T IY0 - EH1 - R AH0 +COSTELLA K AO2 - S T EH1 - L AH0 +COSTELLO K AO2 - S T EH1 - L OW0 +COSTELLO'S K AO2 - S T EH1 - L OW0 Z +COSTEN K AO1 - S T AH0 N +COSTER K AO1 - S T ER0 +COSTIGAN K AA1 - S T IH0 - G AE0 N +COSTILLA K OW0 - S T IH1 - L AH0 +COSTILOW K AA1 - S T IH0 - L OW0 +COSTIN K AA1 - S T IH0 N +COSTING K AO1 - S T IH0 NG +COSTLEY K AA1 S T - L IY0 +COSTLIER K AO1 S T - L IY0 - ER0 +COSTLIEST K AO1 S T - L IY0 - IH0 S T +COSTLOW K AO1 S T - L OW2 +COSTLY K AA1 S T - L IY0 +COSTLY(2) K AO1 S T - L IY0 +COSTNER K AA1 S T - N ER0 +COSTNER'S K AA1 S T - N ER0 Z +COSTON K AA1 - S T AH0 N +COSTRA K AA1 S - T R AH0 +COSTS K AA1 S T S +COSTS(2) K AO1 S T S +COSTS(3) K AO1 S S +COSTS(4) K AO1 S +COSTUME K AA0 - S T UW1 M +COSTUME(2) K AA1 - S T UW0 M +COSTUMED K AO1 - S T UW2 M D +COSTUMER K AA1 - S T UW0 - M ER0 +COSTUMERS K AA1 - S T UW0 - M ER0 Z +COSTUMES K AA0 - S T UW1 M Z +COSTUMES(2) K AA1 - S T UW0 M Z +COSURTUH K AH0 - S ER1 - T AH0 +COSY K OW1 - Z IY0 +COT K AA1 T +COTA K OW1 - T AH0 +COTE K OW1 T +COTELLE K OW2 - T EH1 L +COTERIE K OW1 - T ER0 - IY0 +COTES K OW1 T S +COTHAM K AA1 - TH AH0 M +COTHERN K AH1 - DH ER0 N +COTHRAN K AA1 - TH R AH0 N +COTHREN K AA1 - TH ER0 - AH0 N +COTHRON K AA1 - TH R AH0 N +COTIJA K OW0 - T IY1 - JH AH0 +COTILLA K AH0 - T IH1 - L AH0 +COTLER K OW1 - T AH0 L - ER0 +COTLER(2) K AA1 T - L ER0 +COTMAN K AA1 T - M AH0 N +COTNER K AA1 T - N ER0 +COTNEY K AA1 T - N IY0 +COTNOIR K AH0 T - N W AA1 R +COTO K OW1 - T OW0 +COTRET K AA1 - T R AH0 T +COTRONE K OW0 - T R OW1 - N IY0 +COTRONEO K OW0 - T R OW1 - N IY0 - OW0 +COTS K AA1 T S +COTT K AA1 T +COTTA K AA1 - T AH0 +COTTAGE K AA1 - T AH0 JH +COTTAGE(2) K AA1 - T IH0 JH +COTTAGES K AA1 - T IH0 - JH IH0 Z +COTTAM K AA1 - T AH0 M +COTTEE K OW0 - T IY1 +COTTEN K AA1 - T AH0 N +COTTER K AA1 - T ER0 +COTTERILL K AA1 - T ER0 - IH0 L +COTTERMAN K AA1 - T ER0 - M AH0 N +COTTIER K AA1 - T IY0 - ER0 +COTTINGHAM K AA1 - T IH0 NG - HH AE2 M +COTTLE K AA1 - T AH0 L +COTTMAN K AA1 T - M AH0 N +COTTO K OW1 - T OW0 +COTTOM K AA1 - T AH0 M +COTTON K AA1 - T AH0 N +COTTON'S K AA1 - T AH0 N Z +COTTON(2) K AO1 - T AH0 N +COTTONE K OW0 - T OW1 - N IY0 +COTTONED K AA1 - T AH0 N D +COTTONGIN K AH0 - T AA1 NG - JH IH0 N +COTTONMOUTH K AA1 - T AH0 N - M AW2 TH +COTTONS K AA1 - T AH0 N Z +COTTONSEED K AA1 - T AH0 N - S IY2 D +COTTONWOOD K AA1 - T AH0 N - W UH2 D +COTTONWOODS K AA1 - T AH0 N - W UH2 D Z +COTTRELL K AA2 - T R EH1 L +COTTRILL K AA1 - T R AH0 L +COTTY K AA1 - T IY0 +COTUGNO K OW0 - T UW1 G - N OW0 +COTY K OW1 - T IY0 +COU K UW1 +COUCH K AW1 CH +COUCHED K AW1 CH T +COUCHES K AW1 - CH IH0 Z +COUCHMAN K UW0 SH - M AE1 N +COUDERSPORT K AW1 - D ER0 Z - P AO2 R T +COUDERT K UW1 - D ER0 T +COUEY K UW0 - IY1 +COUFAL K UW0 - F AE1 L +COUGAR K UW1 - G ER0 +COUGARS K UW1 - G ER0 Z +COUGH K AA1 F +COUGH(2) K AO1 F +COUGHED K AO1 F T +COUGHENOUR K AO0 - F EH1 - N ER0 +COUGHING K AA1 - F IH0 NG +COUGHING(2) K AO1 - F IH0 NG +COUGHLAN K AO1 G - L AH0 N +COUGHLIN K AO1 G - L IH0 N +COUGHRAN K AO1 - G R AH0 N +COUGHS K AO1 F S +COUILLARD K W IY0 - L AA1 R D +COULD K UH1 D +COULD'VE K UH0 - D AH0 V +COULDN'T K UH1 - D AH0 N T +COULDN'T(2) K UH1 - D AH0 N +COULEE K UW1 - L IY0 +COULL K AW1 L +COULOMBE K AW0 - L OW1 M - B IY0 +COULON K AW1 - L AH0 N +COULSON K AW1 L - S AH0 N +COULSTON K AW1 L - S T AH0 N +COULTAS K UW0 L - T AA1 Z +COULTER K OW1 L - T ER0 +COULTHARD K UW0 L - TH AA1 R D +COUNCE K AW1 N S +COUNCIL K AW1 N - S AH0 L +COUNCIL'S K AW1 N - S AH0 L Z +COUNCILMAN K AW1 N - S AH0 L - M AH0 N +COUNCILMEN K AW1 N - S AH0 L - M EH1 N +COUNCILOR K AW1 N - S AH0 L - ER0 +COUNCILOR(2) K AW1 N - S L ER0 +COUNCILORS K AW1 N - S AH0 L - ER0 Z +COUNCILORS(2) K AW1 N - S L ER0 Z +COUNCILS K AW1 N - S AH0 L Z +COUNCILWOMAN K AW1 N - S AH0 L - W UH2 - M AH0 N +COUNCILWOMEN K AW1 N - S AH0 L - W IH2 - M AH0 N +COUNIHAN K AW1 - N IH0 - HH AE0 N +COUNSEL K AW1 N - S AH0 L +COUNSEL'S K AW1 N - S AH0 L Z +COUNSELED K AW1 N - S AH0 L D +COUNSELING K AW1 N - S AH0 L - IH0 NG +COUNSELING(2) K AW1 N - S L IH0 NG +COUNSELL K AW1 N - S AH0 L +COUNSELLOR K AW1 N - S AH0 L - ER0 +COUNSELLOR(2) K AW1 N - S L ER0 +COUNSELLORS K AW1 N - S AH0 L - ER0 Z +COUNSELLORS(2) K AW1 N - S L ER0 Z +COUNSELMAN K AW1 N - S AH0 L - M AH0 N +COUNSELOR K AW1 N - S AH0 L - ER0 +COUNSELORS K AW1 N - S AH0 L - ER0 Z +COUNSELS K AW1 N - S AH0 L Z +COUNT K AW1 N T +COUNTABLE K AW1 N - T AH0 - B AH0 L +COUNTDOWN K AW1 N T - D AW2 N +COUNTDOWNS K AW1 N T - D AW2 N Z +COUNTED K AW1 N - T AH0 D +COUNTED(2) K AW1 N - T IH0 D +COUNTED(3) K AW1 - N IH0 D +COUNTED(4) K AW1 - N AH0 D +COUNTENANCE K AW1 N - T AH0 - N AH0 N S +COUNTENANCED K AW1 N - T AH0 - N AH0 N S T +COUNTENANCES K AW1 N - T AH0 - N AH0 N - S IH0 Z +COUNTER K AW1 N - T ER0 +COUNTERACT K AW1 N - T ER0 - AE2 K T +COUNTERACTED K AW1 N - T ER0 - AE2 K - T IH0 D +COUNTERACTING K AW2 N - T ER0 - AE1 K - T IH0 NG +COUNTERATTACK K AW1 N - T ER0 - AH0 - T AE2 K +COUNTERATTACK(2) K AW1 - N ER0 - AH0 - T AE2 K +COUNTERATTACKED K AW2 N - T ER0 - AH0 - T AE1 K T +COUNTERATTACKED(2) K AW2 - N ER0 - AH0 - T AE1 K T +COUNTERATTACKS K AW1 N - T ER0 - AH0 - T AE2 K S +COUNTERATTACKS(2) K AW1 - N ER0 - AH0 - T AE2 K S +COUNTERBALANCE K AW1 N - T ER0 - B AE2 - L AH0 N S +COUNTERBALANCE(2) K AW1 - N ER0 - B AE2 - L AH0 N S +COUNTERBALANCED K AW2 N - T ER0 - B AE1 - L AH0 N S T +COUNTERBALANCED(2) K AW2 - N ER0 - B AE1 - L AH0 N S T +COUNTERBID K AW2 N - T ER0 - B IH1 D +COUNTERCHALLENGE K AW1 N - T ER0 - CH AE2 - L AH0 N JH +COUNTERCHALLENGE(2) K AW1 - N ER0 - CH AE2 - L AH0 N JH +COUNTERCHARGE K AW1 N - T ER0 - CH AA2 R JH +COUNTERCHARGE(2) K AW1 - N ER0 - CH AA2 R JH +COUNTERCHARGES K AW1 N - T ER0 - CH AA2 R - JH IH0 Z +COUNTERCHARGES(2) K AW1 - N ER0 - CH AA2 R - JH IH0 Z +COUNTERCLAIM K AW1 N - T ER0 - K L EY2 M +COUNTERCLAIMS K AW1 N - T ER0 - K L EY2 M Z +COUNTERCLOCKWISE K AW2 N - T ER0 - K L AO1 - K W AY0 Z +COUNTERCLOCKWISE(2) K AW2 - N ER0 - K L AO1 - K W AY0 Z +COUNTERCULTURAL K AW2 N - T ER0 - K AH1 L - CH ER0 - AH0 L +COUNTERCULTURAL(2) K AW2 - N ER0 - K AH1 L - CH ER0 - AH0 L +COUNTERCULTURE K AW1 N - T ER0 - K AH2 L - CH ER0 +COUNTERCULTURE(2) K AW1 - N ER0 - K AH2 L - CH ER0 +COUNTERED K AW1 N - T ER0 D +COUNTERED(2) K AW1 - N ER0 D +COUNTERESPIONAGE K AW2 N - T ER0 - EH1 - S P IY0 - AH0 - N AA0 JH +COUNTERESPIONAGE(2) K AW2 - N ER0 - EH1 S - P IY0 - AH0 - N AA0 JH +COUNTERFEIT K AW1 N - T ER0 - F IH2 T +COUNTERFEIT(2) K AW1 - N ER0 - F IH2 T +COUNTERFEITED K AW1 N - T ER0 - F IH2 - T IH0 D +COUNTERFEITED(2) K AW1 - N ER0 - F IH2 - T IH0 D +COUNTERFEITER K AW1 N - T ER0 - F IH2 - T ER0 +COUNTERFEITER(2) K AW1 - N ER0 - F IH2 - T ER0 +COUNTERFEITERS K AW1 N - T ER0 - F IH2 - T ER0 Z +COUNTERFEITERS(2) K AW1 - N ER0 - F IH2 - T ER0 Z +COUNTERFEITING K AW1 N - T ER0 - F IH2 - T IH0 NG +COUNTERFEITING(2) K AW1 - N ER0 - F IH2 - T IH0 NG +COUNTERFEITS K AW1 N - T ER0 - F IH2 T S +COUNTERFEITS(2) K AW1 - N ER0 - F IH2 T S +COUNTERFORCE K AW1 N - T ER0 - F AO2 R S +COUNTERING K AW1 N - T ER0 - IH0 NG +COUNTERING(2) K AW1 - N ER0 - IH0 NG +COUNTERINSURGENCY K AW2 N - T ER0 - IH0 N - S ER1 - JH AH0 N - S IY0 +COUNTERINSURGENCY(2) K AW2 - N ER0 - IH0 N - S ER1 - JH AH0 N - S IY0 +COUNTERINTELLIGENCE K AW2 N - T ER0 - IH0 N - T EH1 - L IH0 - JH AH0 N S +COUNTERINTELLIGENCE(2) K AW2 - N ER0 - IH0 N - T EH1 - L IH0 - JH AH0 N S +COUNTERLIFE K AW1 N - T ER0 - L AY2 F +COUNTERMAN K AW1 N - T ER0 - M AE2 N +COUNTERMEASURE K AW1 N - T ER0 - M EH2 - ZH ER0 +COUNTERMEASURE(2) K AW1 - N ER0 - M EH2 - ZH ER0 +COUNTERMEASURES K AW1 N - T ER0 - M EH2 - ZH ER0 Z +COUNTERMEASURES(2) K AW1 - N ER0 - M EH2 - ZH ER0 Z +COUNTERMOVE K AW1 N - T ER0 - M UW2 V +COUNTERMOVES K AW1 N - T ER0 - M UW2 V Z +COUNTEROFFENSIVE K AW2 N - T ER0 - AO0 - F EH1 N - S IH0 V +COUNTEROFFENSIVE(2) K AW2 - N ER0 - AO0 - F EH1 N - S IH0 V +COUNTEROFFER K AW1 N - T ER0 - AO2 - F ER0 +COUNTEROFFER(2) K AW1 - N ER0 - AO2 - F ER0 +COUNTEROFFERS K AW1 N - T ER0 - AO2 - F ER0 Z +COUNTEROFFERS(2) K AW1 - N ER0 - AO2 - F ER0 Z +COUNTERPART K AW1 N - T ER0 - P AA2 R T +COUNTERPART(2) K AW1 - N ER0 - P AA2 R T +COUNTERPARTS K AW1 N - T ER0 - P AA2 R T S +COUNTERPARTS(2) K AW1 - N ER0 - P AA2 R T S +COUNTERPARTY K AW1 N - T ER0 - P AA2 R - T IY0 +COUNTERPOINT K AW1 N - T ER0 - P OY2 N T +COUNTERPOINT(2) K AW1 - N ER0 - P OY2 N T +COUNTERPRODUCTIVE K AW1 N - T ER0 - P R AH0 - D AH2 K - T IH0 V +COUNTERPRODUCTIVE(2) K AW1 - N ER0 - P R AH0 - D AH2 K - T IH0 V +COUNTERPROPOSAL K AW1 N - T ER0 - P R AH0 - P OW2 - Z AH0 L +COUNTERPROPOSAL(2) K AW1 - N ER0 - P R AH0 - P OW2 - Z AH0 L +COUNTERPROPOSALS K AW1 N - T ER0 - P R AH0 - P OW2 - Z AH0 L Z +COUNTERPROPOSALS(2) K AW1 - N ER0 - P R AH0 - P OW2 - Z AH0 L Z +COUNTERPUNCH K AW1 N - T ER0 - P AH2 N CH +COUNTERREVOLT K AW1 N - T ER0 - R IY0 - V OW2 L T +COUNTERREVOLT(2) K AW1 - N ER0 - R IY0 - V OW2 L T +COUNTERREVOLUTION K AW2 N - T ER0 - R EH0 - V AH0 - L UW1 - SH AH0 N +COUNTERREVOLUTION(2) K AW2 - N ER0 - R EH0 - V AH0 - L UW1 - SH AH0 N +COUNTERREVOLUTIONARY K AW2 N - T ER0 - R EH0 - V AH0 - L UW1 - SH AH0 N - EH2 - R IY0 +COUNTERREVOLUTIONARY(2) K AW2 - N ER0 - R EH0 - V AH0 - L UW1 - SH AH0 N - EH2 - R IY0 +COUNTERS K AW1 N - T ER0 Z +COUNTERSUE K AW1 N - T ER0 - S UW2 +COUNTERSUE(2) K AW1 - N ER0 - S UW2 +COUNTERSUED K AW1 N - T ER0 - S UW2 D +COUNTERSUED(2) K AW1 - N ER0 - S UW2 D +COUNTERSUIT K AW1 N - T ER0 - S UW2 T +COUNTERSUIT(2) K AW1 - N ER0 - S UW2 T +COUNTERTENOR K AW1 N - T ER0 - T EH2 - N ER0 +COUNTERTERRORISM K AW1 N - T ER0 - T EH2 - R ER0 - IH2 - Z AH0 M +COUNTERTERRORISM(2) K AW1 - N ER0 - T EH2 - R ER0 - IH2 - Z AH0 M +COUNTERTERRORIST K AW2 N - T ER0 - T EH1 - R ER0 - IH0 S T +COUNTERTERRORIST(2) K AW2 - N ER0 - T EH1 - R ER0 - IH0 S T +COUNTERTOP K AW1 N - T ER0 - T AA2 P +COUNTERTOP(2) K AW1 - N ER0 - T AA2 P +COUNTERTRADE K AW1 N - T ER0 - T R EY2 D +COUNTERVAILING K AW1 N - T ER0 - V EY2 - L IH0 NG +COUNTERWEIGHT K AW1 N - T ER0 - W EY2 T +COUNTESS K AW1 N - T AH0 S +COUNTIES K AW1 N - T IY0 Z +COUNTIES(2) K AW1 - N IY0 Z +COUNTING K AW1 N - T IH0 NG +COUNTING(2) K AW1 - N IH0 NG +COUNTLESS K AW1 N T - L AH0 S +COUNTRIES K AH1 N - T R IY0 Z +COUNTRIES' K AH1 N - T R IY0 Z +COUNTRY K AH1 N - T R IY0 +COUNTRY'S K AH1 N - T R IY0 Z +COUNTRYFOLK K AH1 N - T R IY0 - F OW2 K +COUNTRYMAN K AH1 N - T R IY0 - M AH0 N +COUNTRYMEN K AH1 N - T R IY0 - M IH0 N +COUNTRYSIDE K AH1 N - T R IY0 - S AY2 D +COUNTRYWIDE K AH1 N - T R IY0 - W AY2 D +COUNTS K AW1 N T S +COUNTY K AW1 N - T IY0 +COUNTY'S K AW1 N - T IY0 Z +COUNTY'S(2) K AW1 - N IY0 Z +COUNTY(2) K AW1 - N IY0 +COUP K UW1 +COUPE K UW1 P +COUPER K UW1 - ER0 +COUPES K UW1 P S +COUPLAND K UW1 P - L AH0 N D +COUPLE K AH1 - P AH0 L +COUPLE'S K AH1 - P AH0 L Z +COUPLED K AH1 - P AH0 L D +COUPLER K AH1 P - L ER0 +COUPLERS K AH1 P - L ER0 Z +COUPLES K AH1 - P AH0 L Z +COUPLEY K AH1 P - L IY0 +COUPLING K AH1 - P L IH0 NG +COUPLINGS K AH1 P - L IH0 NG Z +COUPON K UW1 - P AO2 N +COUPON(2) K Y UW1 - P AO2 N +COUPONING K UW1 - P AA0 - N IH0 NG +COUPONING(2) K Y UW1 - P AA0 - N IH0 NG +COUPONITE K UW1 - P AA0 - N AY0 T +COUPONITE(2) K Y UW1 - P AA0 - N AY0 T +COUPONITES K UW1 - P AA0 - N AY0 T S +COUPONITES(2) K Y UW1 - P AA0 - N AY0 T S +COUPONS K UW1 - P AO2 N Z +COUPONS(2) K Y UW1 - P AO2 N Z +COUPS K UW1 Z +COUPS(2) K UW1 +COURAGE K ER1 - AH0 JH +COURAGE(2) K ER1 - IH0 JH +COURAGEOUS K ER0 - EY1 - JH AH0 S +COURAGEOUSLY K ER0 - EY1 - JH AH0 S - L IY0 +COURANT K UH1 - R AH0 N T +COURCHAINE K UH0 R - SH EY1 N +COURCHESNE K UH0 R - SH EH1 N +COURIC K AO1 - R IH0 K +COURIER K ER1 - IY0 - ER0 +COURIER'S K ER1 - IY0 - ER0 Z +COURIERS K ER1 - IY0 - ER0 Z +COURINGTON K AO1 - R IH0 NG - T AH0 N +COURNOYER K AO1 R - N OY0 - ER0 +COURSE K AO1 R S +COURSE'S K AO1 R - S IH0 Z +COURSEN K AO1 R - S AH0 N +COURSER K AO1 R - S ER0 +COURSES K AO1 R - S AH0 Z +COURSES(2) K AO1 R - S IH0 Z +COURSEY K AO1 R - S IY0 +COURSING K AO1 R - S IH0 NG +COURSON K AO1 R - S AH0 N +COURT K AO1 R T +COURT'S K AO1 R T S +COURTADE K AO1 R - T EY0 D +COURTAULDS K AO1 R - T AO2 L D Z +COURTEAU K ER1 - T OW0 +COURTED K AO1 R - T IH0 D +COURTEMANCHE K AO2 R T - M AE1 N SH +COURTEMANCHE(2) K AO2 R T - M AA1 N SH +COURTENAY K ER1 - T AH0 - N EY0 +COURTENAY(2) K AO1 R T - N EY0 +COURTEOUS K ER1 - T IY0 - AH0 S +COURTER K AO1 R - T ER0 +COURTER'S K AO1 R - T ER0 Z +COURTESIES K ER1 - T AH0 - S IY0 Z +COURTESY K ER1 - T AH0 - S IY0 +COURTHOUSE K AO1 R T - HH AW2 S +COURTHOUSES K AO1 R T - HH AW2 - S IH0 Z +COURTIER K AO1 R - T IY0 - ER0 +COURTIERS K AO1 R - T IY0 - ER0 Z +COURTING K AO1 R - T IH0 NG +COURTIS K AO1 R - T IH0 S +COURTLAND K AO1 R T - L AE0 N D +COURTLY K AO1 R T - L IY0 +COURTNEY K AO1 R T - N IY0 +COURTOIS K AO1 R T - W AA0 +COURTRIGHT K AO1 R T - R AY2 T +COURTROOM K AO1 R T - R UW2 M +COURTROOMS K AO1 R T - R UW2 M Z +COURTS K AO1 R T S +COURTS' K AO1 R T S +COURTSHIP K AO1 R - CH IH2 P +COURTWRIGHT K AO1 R T - R AY2 T +COURTYARD K AO1 R T - Y AA2 R D +COURTYARDS K AO1 R T - Y AA2 R D Z +COURVILLE K UH0 R - V IH1 L +COURY K AO1 - R IY0 +COUSAR K UW0 - S AA1 R +COUSE K AW1 S +COUSENS K UW1 - S AH0 N Z +COUSENS(2) K AW1 - S AH0 N Z +COUSER K AW1 - S ER0 +COUSIN K AH1 - Z AH0 N +COUSIN'S K AH1 - Z AH0 N Z +COUSINEAU K UW1 - S IH0 - N OW2 +COUSINO K AW0 - S IY1 - N OW0 +COUSINS K AH1 - Z AH0 N Z +COUSTEAU K UW2 - S T OW1 +COUSY K UW1 - Z IY0 +COUTANT K UW0 - T AO1 N T +COUTEE K UW0 - T IY1 +COUTO K AW1 - T OW0 +COUTS K AW1 T S +COUTTS K AW1 T S +COUTU K UW0 - CH UW1 +COUTURE K UW0 - T UH1 R +COUTURIER K UW0 - T UH1 - R IY0 - ER0 +COUVILLION K UW0 - V IY0 - L Y AO1 N +COUVILLON K UW0 - V IY0 - L AO1 N +COUZENS K UW1 - Z AH0 N Z +COVAL K OW0 - V EY0 - AE1 L +COVALT K OW1 - V AA0 L T +COVARRUBIAS K OW0 - V AA0 - R UW0 - B IY1 - AH0 Z +COVAS K OW1 - V AH0 S +COVATTA K OW0 - V AA1 - T AH0 +COVAULT K OW1 - V AO1 L T +COVE K OW1 V +COVEL K OW1 - V AH0 L +COVELL K AA1 - V AH0 L +COVELLI K OW2 - V EH1 - L IY0 +COVELLO K OW2 - V EH1 - L OW0 +COVEN K AH1 - V AH0 N +COVEN(2) K OW1 - V AH0 N +COVENANT K AH1 - V AH0 - N AH0 N T +COVENANTER K AH1 - V AH0 - N AH0 N - T ER0 +COVENANTERS K AH1 - V AH0 - N AH0 N - T ER0 Z +COVENANTS K AH1 - V AH0 - N AH0 N T S +COVENEY K AA1 - V IH0 - N IY0 +COVENT K AH1 - V AH0 N T +COVENTRY K AH1 - V AH0 N - T R IY0 +COVER K AH1 - V ER0 +COVERAGE K AH1 - V ER0 - AH0 JH +COVERAGE(2) K AH1 - V ER0 - IH0 JH +COVERAGE(3) K AH1 - V R IH0 JH +COVERAGES K AH1 - V ER0 - AH0 - JH IH0 Z +COVERAGES(2) K AH1 - V ER0 - IH0 - JH IH0 Z +COVERAGES(3) K AH1 - V R IH0 - JH IH0 Z +COVERALL K AH1 - V ER0 - AO2 L +COVERALLS K AH1 - V ER0 - AO2 L Z +COVERDALE K AH1 - V ER0 - D EY2 L +COVERDELL K AH1 - V ER0 - D EH2 L +COVERED K AH1 - V ER0 D +COVERING K AH1 - V ER0 - IH0 NG +COVERING(2) K AH1 - V R IH0 NG +COVERINGS K AH1 - V ER0 - IH0 NG Z +COVERS K AH1 - V ER0 Z +COVERSTONE K AH1 - V ER0 - S T OW2 N +COVERT K OW1 - V ER0 T +COVERTLY K AH1 - V ER0 T - L IY0 +COVERUP K AH1 - V ER0 - AH2 P +COVERUPS K AH1 - V ER0 - AH2 P S +COVES K OW1 V Z +COVET K AH1 - V AH0 T +COVETED K AH1 - V AH0 - T IH0 D +COVETS K AH1 - V AH0 T S +COVEY K AH1 - V IY0 +COVIA K OW1 - V IY0 - AH0 +COVIELLO K OW2 - V IY0 - EH1 - L OW0 +COVILL K AA1 - V AH0 L +COVILLE K OW1 - V IH2 L +COVIN K OW1 - V IH0 N +COVINA K OW0 - V IY1 - N AH0 +COVINGTON K AH1 - V IH0 NG - T AH0 N +COVINO K OW0 - V IY1 - N OW0 +COVITZ K OW1 - V IH0 T S +COVY K AH1 - V IY0 +COW K AW1 +COW'S K AW1 Z +COWAN K AW1 - AH0 N +COWANS K AW1 - AH0 N Z +COWARD K AW1 - ER0 D +COWARD'S K AW1 - ER0 D Z +COWARDICE K AW1 - ER0 - D AH0 S +COWARDLY K AW1 - ER0 D - L IY0 +COWARDS K AW1 - ER0 D Z +COWART K AW1 - AA0 R T +COWBELL K AW1 - B EH2 L +COWBELLS K AW1 - B EH2 L Z +COWBOY K AW1 - B OY2 +COWBOY'S K AW1 - B OY2 Z +COWBOYS K AW1 - B OY2 Z +COWBOYS' K AW1 - B OY2 Z +COWDEN K AW1 - D AH0 N +COWDERY K AW1 - D ER0 - IY0 +COWDREY K AW1 - D R IY0 +COWED K AW1 D +COWEDA K AH0 - W IY1 - D AH0 +COWELL K AA1 - W EH0 L +COWEN K AW1 - AH0 N +COWEN(2) K OW1 - AH0 N +COWENS K AW1 - AH0 N Z +COWENS(2) K OW1 - AH0 N Z +COWER K AW1 - ER0 +COWERING K AW1 - ER0 - IH0 NG +COWGER K AW1 - JH ER0 +COWGILL K AW1 - G IH2 L +COWGIRL K AW1 - G ER2 L +COWGIRLS K AW1 - G ER2 L Z +COWHER K AA1 - W ER0 +COWHERD K AW1 - HH ER2 D +COWIE K AW1 - IY0 +COWIN K AW1 - IH0 N +COWING K AW1 - IH0 NG +COWL K AW1 L +COWLES K AW1 - AH0 L Z +COWLEY K AW1 - L IY0 +COWLING K AW1 - L IH0 NG +COWLING'S K AW1 - L IH0 NG Z +COWLINGS K AW1 - L IH0 NG Z +COWLINGS' K AW1 - L IH0 NG Z +COWLINGS'S K AW1 - L IH0 NG - Z IH0 Z +COWMAN K AW1 - M AH0 N +COWORKER K OW1 - W ER1 - K ER0 +COWORKERS K OW1 - W ER1 - K ER0 Z +COWPER K AW1 - P ER0 +COWPER(2) K UW1 - P ER0 +COWPERTHWAITE K AW1 - P ER0 TH - W EY2 T +COWRIES K AW1 - R IY0 Z +COWS K AW1 Z +COWSER K AW1 - Z ER0 +COWSERT K AW1 - S ER0 T +COWSLIP K AW1 S - L IH0 P +COX K AA1 K S +COX'S K AA1 K - S IH0 Z +COXE K AA1 K S +COXEN K AA1 K - S AH0 N +COXON K AA1 K - S AH0 N +COXWELL K AA1 K - S W EH2 L +COY K OY1 +COYE K OY1 +COYER K OY1 - ER0 +COYKENDALL K OY0 - K EH1 N - D AH0 L +COYLE K OY1 L +COYLY K OY1 - L IY0 +COYM K OY1 M +COYNE K OY1 N +COYNER K OY1 - N ER0 +COYOTE K AY0 - OW1 - T IY0 +COYOTE(2) K AY1 - OW0 T +COYOTES K AY0 - OW1 - T IY0 S +COYOTES(2) K AY1 - OW0 T S +COZ K AA1 Z +COZAD K OW1 - Z AH0 D +COZART K AA1 - Z AA0 R T +COZBY K AA1 Z - B IY0 +COZIER K OW1 - Z IY0 - ER0 +COZINE K OW0 - Z IY1 - N IY0 +COZINESS K OW1 - Z IY0 - N AH0 S +COZMAN K OW1 Z - M AH0 N +COZY K OW1 - Z IY0 +COZYING K OW1 - Z IY0 - IH0 NG +COZZA K OW1 T - S AH0 +COZZENS K AA1 - Z AH0 N Z +COZZI K OW1 T - S IY0 +COZZOLINO K OW0 T - S OW0 - L IY1 - N OW0 +CRAB K R AE1 B +CRABB K R AE1 B +CRABBE K R AE1 B +CRABBED K R AE1 B D +CRABBS K R AE1 B Z +CRABBY K R AE1 - B IY0 +CRABEATER K R AE1 - B IY2 - T ER0 +CRABILL K R AE1 - B AH0 L +CRABLE K R EY1 - B AH0 L +CRABMEAT K R AE1 B - M IY2 T +CRABS K R AE1 B Z +CRABTREE K R AE1 B - T R IY2 +CRACCHIOLO K R AA0 - K IY0 - OW1 - L OW0 +CRACE K R EY1 S +CRACK K R AE1 K +CRACKDOWN K R AE1 K - D AW2 N +CRACKDOWNS K R AE1 K - D AW2 N Z +CRACKED K R AE1 K T +CRACKEL K R AE1 - K AH0 L +CRACKER K R AE1 - K ER0 +CRACKERJACK K R AE1 - K ER0 - JH AE2 K +CRACKERS K R AE1 - K ER0 Z +CRACKING K R AE1 - K IH0 NG +CRACKLE K R AE1 - K AH0 L +CRACKLED K R AE1 - K AH0 L D +CRACKLES K R AE1 - K AH0 L Z +CRACKLING K R AE1 - K L IH0 NG +CRACKPOT K R AE1 K - P AA2 T +CRACKPOTS K R AE1 K - P AA2 T S +CRACKS K R AE1 K S +CRACRAFT K R AA1 - K R AE0 F T +CRADDOCK K R AE1 - D AH0 K +CRADER K R EY1 - D ER0 +CRADIC K R AE1 - D IH0 K +CRADLE K R EY1 - D AH0 L +CRADLES K R EY1 - D AH0 L Z +CRADLING K R EY1 - D AH0 L - IH0 NG +CRADLING(2) K R EY1 D - L IH0 NG +CRADOCK K R AE1 - D AH0 K +CRADY K R EY1 - D IY0 +CRAFT K R AE1 F T +CRAFT'S K R AE1 F T S +CRAFTED K R AE1 F - T IH0 D +CRAFTING K R AE1 F - T IH0 NG +CRAFTON K R AE1 F - T AH0 N +CRAFTS K R AE1 F T S +CRAFTS(2) K R AE1 F S +CRAFTSMAN K R AE1 F T S - M AH0 N +CRAFTSMAN(2) K R AE1 F S - M AH0 N +CRAFTSMANSHIP K R AE1 F T S - M AH0 N - SH IH2 P +CRAFTSMANSHIP(2) K R AE1 F S - M AH0 N - SH IH2 P +CRAFTSMEN K R AE1 F T S - M EH0 N +CRAFTSMEN(2) K R AE1 F S - M EH0 N +CRAFTSPEOPLE K R AE1 F T - S P IY2 - P AH0 L +CRAFTSPEOPLE(2) K R AE1 F - S P IY2 - P AH0 L +CRAFTY K R AE1 F - T IY0 +CRAGER K R EY1 - JH ER0 +CRAGG K R AE1 G +CRAGGS K R AE1 G Z +CRAGGY K R AE1 - G IY0 +CRAGHEAD K R AE1 G - HH EH2 D +CRAGIN K R AE1 - JH IH0 N +CRAGLE K R EY1 - G AH0 L +CRAGO K R AA1 - G OW0 +CRAGUN K R AE1 - G AH0 N +CRAIB K R EY1 B +CRAIG K R EY1 G +CRAIG'S K R EY1 G Z +CRAIGHEAD K R EY1 G - HH EH2 D +CRAIGIE K R EY1 - G IY0 +CRAIGO K R EY1 - G OW0 +CRAIL K R EY1 L +CRAIN K R EY1 N +CRAIN'S K R EY1 N Z +CRAINE K R EY1 N +CRAKER K R EY1 - K ER0 +CRALL K R AO1 L +CRAM K R AE1 M +CRAMBLIT K R AE1 M - B L IH0 T +CRAMER K R EY1 - M ER0 +CRAMER'S K R EY1 - M ER0 Z +CRAMES K R EY1 M Z +CRAMMED K R AE1 M D +CRAMMER K R AE1 - M ER0 +CRAMMING K R AE1 - M IH0 NG +CRAMP K R AE1 M P +CRAMPED K R AE1 M P T +CRAMPING K R AE1 M - P IH0 NG +CRAMPS K R AE1 M P S +CRAMPTON K R AE1 M P - T AH0 N +CRAMS K R AE1 M Z +CRAMTON K R AE1 M - T AH0 N +CRANBERRIES K R AE1 N - B EH2 - R IY0 Z +CRANBERRY K R AE1 N - B EH2 - R IY0 +CRANCE K R AE1 N S +CRANDALL K R AE1 N - D AH0 L +CRANDALL'S K R AE1 N - D AH0 L Z +CRANDELL K R AE1 N - D AH0 L +CRANE K R EY1 N +CRANE'S K R EY1 N Z +CRANED K R EY1 N D +CRANER K R EY1 - N ER0 +CRANES K R EY1 N Z +CRANESBILL K R EY1 N Z - B IH2 L +CRANESBILLS K R EY1 N Z - B IH2 L Z +CRANEY K R EY1 - N IY0 +CRANFIELD K R AE1 N - F IY2 L D +CRANFILL K R AE1 N - F AH0 L +CRANFORD K R AE1 N - F ER0 D +CRANK K R AE1 NG K +CRANKED K R AE1 NG K T +CRANKING K R AE1 NG - K IH0 NG +CRANKS K R AE1 NG K S +CRANKSHAFT K R AE1 NG K - SH AE2 F T +CRANKSHAFTS K R AE1 NG K - SH AE2 F T S +CRANKY K R AE1 NG - K IY0 +CRANLEY K R AE1 N - L IY0 +CRANMER K R AE1 N - M ER0 +CRANMORE K R AA1 N - M AO0 R +CRANNELL K R AE1 - N AH0 L +CRANNEY K R AE1 - N IY0 +CRANNIES K R AE1 - N IY0 Z +CRANNY K R AE1 - N IY0 +CRANOR K R EY1 - N ER0 +CRANS K R AE1 N Z +CRANSHAW K R AE1 N - SH AO2 +CRANSTON K R AE1 N - S T AH0 N +CRANSTON'S K R AE1 N - S T AH0 N Z +CRAP K R AE1 P +CRAPO K R AA1 - P OW0 +CRAPPIE K R AE1 - P IY0 +CRAPPS K R AE1 P S +CRAPS K R AE1 P S +CRAPSER K R AE1 P - S ER0 +CRAPSHOOT K R AE1 P - SH UW2 T +CRARY K ER1 - EH0 - R IY0 +CRASE K R EY1 Z +CRASH K R AE1 SH +CRASH'S K R AE1 - SH IH0 Z +CRASHED K R AE1 SH T +CRASHES K R AE1 - SH IH0 Z +CRASHING K R AE1 - SH IH0 NG +CRASNER K R AE1 Z - N ER0 +CRASNIANSKI K R AE2 S - N IY0 - AE1 N S - K IY0 +CRASS K R AE1 S +CRASSWELLER K R AE1 S - W EH2 - L ER0 +CRASSWELLER'S K R AE1 S - W EH2 - L ER0 Z +CRATE K R EY1 T +CRATER K R EY1 - T ER0 +CRATERED K R EY1 - T ER0 D +CRATERS K R EY1 - T ER0 Z +CRATES K R EY1 T S +CRATING K R EY1 - T IH0 NG +CRATON K R AE1 - T AH0 N +CRATTY K R AE1 - T IY0 +CRAUGH K R AO1 +CRAUN K R AO1 N +CRAVATH K R AE1 - V AH0 TH +CRAVE K R EY1 V +CRAVED K R EY1 V D +CRAVEN K R EY1 - V AH0 N +CRAVEN'S K R EY1 - V AH0 N Z +CRAVENS K R EY1 - V AH0 N Z +CRAVER K R EY1 - V ER0 +CRAVES K R EY1 V Z +CRAVEY K R EY1 - V IY0 +CRAVIN K R EY1 - V IH0 N +CRAVING K R EY1 - V IH0 NG +CRAVINGS K R EY1 - V IH0 NG Z +CRAW K R AO1 +CRAWFISH K R AO1 - F IH2 SH +CRAWFORD K R AO1 - F ER0 D +CRAWFORD'S K R AO1 - F ER0 D Z +CRAWFORDSVILLE K R AO1 - F ER0 D Z - V IH2 L +CRAWL K R AO1 L +CRAWLED K R AO1 L D +CRAWLEY K R AO1 - L IY0 +CRAWLING K R AO1 - L IH0 NG +CRAWLS K R AO1 L Z +CRAWLY K R AO1 - L IY0 +CRAWMER K R AO1 - M ER0 +CRAWSHAW K R AO1 - SH AO2 +CRAXI K R AE1 K - S IY0 +CRAY K R EY1 +CRAY'S K R EY1 Z +CRAYCRAFT K R EY1 - K R AE2 F T +CRAYFISH K R EY1 - F IH0 SH +CRAYNE K R EY1 N +CRAYON K R EY1 - AA2 N +CRAYONS K R EY1 - AA2 N Z +CRAYS K R EY1 Z +CRAYTON K R EY1 - T AH0 N +CRAZE K R EY1 Z +CRAZED K R EY1 Z D +CRAZIER K R EY1 - Z IY0 - ER0 +CRAZIES K R EY1 - Z IY0 Z +CRAZIEST K R EY1 - Z IY0 - AH0 S T +CRAZILY K R EY1 - Z AH0 - L IY0 +CRAZINESS K R EY1 - Z IY0 - N AH0 S +CRAZY K R EY1 - Z IY0 +CREA K R IY1 +CREACH K R IY1 CH +CREAGER K R IY1 - IH0 - JH ER0 +CREAGH K R IY1 G +CREAK K R IY1 K +CREAKED K R IY1 K T +CREAKING K R IY1 - K IH0 NG +CREAKY K R IY1 - K IY0 +CREAL K R IY1 L +CREAM K R IY1 M +CREAMED K R IY1 M D +CREAMER K R IY1 - M ER0 +CREAMERY K R IY1 - M ER0 - IY0 +CREAMIER K R IY1 - M IY0 - ER0 +CREAMIEST K R IY1 - M IY0 - IH0 S T +CREAMS K R IY1 M Z +CREAMY K R IY1 - M IY0 +CREAN K R IY1 N +CREAR K R IH1 R +CREASE K R IY1 S +CREASES K R IY1 - S IH0 Z +CREASEY K R IY1 - S IY0 +CREASMAN K R IY1 Z - M AH0 N +CREASON K R IY1 - S AH0 N +CREASY K R IY1 - S IY0 +CREATE K R IY0 - EY1 T +CREATE-A-BOOK K R IY0 - EY2 - T AH0 - B UH1 K +CREATED K R IY0 - EY1 - T AH0 D +CREATED(2) K R IY0 - EY1 - T IH0 D +CREATES K R IY0 - EY1 T S +CREATH K R EH1 TH +CREATING K R IY0 - EY1 - T IH0 NG +CREATION K R IY0 - EY1 - SH AH0 N +CREATIONISM K R IY0 - EY1 - SH AH0 N - IH2 - Z AH0 M +CREATIONS K R IY0 - EY1 - SH AH0 N Z +CREATIVE K R IY0 - EY1 - T IH0 V +CREATIVELY K R IY0 - EY1 - T IH0 V - L IY0 +CREATIVENESS K R IY0 - EY1 - T IH0 V - N AH0 S +CREATIVITY K R IY2 - EY0 - T IH1 - V AH0 - T IY0 +CREATOLOGIST K R IY0 - EY2 - T AO1 - L AH0 - JH IH0 S T +CREATOLOGISTS K R IY0 - EY2 - T AO1 - L AH0 - JH IH0 S T S +CREATOLOGISTS(2) K R IY0 - EY2 - T AO1 - L AH0 - JH IH0 S S +CREATOLOGISTS(3) K R IY0 - EY2 - T AO1 - L AH0 - JH IH0 S +CREATOR K R IY0 - EY1 - T ER0 +CREATORS K R IY0 - EY1 - T ER0 Z +CREATURE K R IY1 - CH ER0 +CREATURES K R IY1 - CH ER0 Z +CRECELIUS K R IH0 - S IY1 - L IY0 - IH0 S +CREDENCE K R IY1 - D AH0 N S +CREDENTIAL K R IH0 - D EH1 N - CH AH0 L +CREDENTIAL(2) K R AH0 - D EH1 N - SH AH0 L +CREDENTIALED K R AH0 - D EH1 N - CH AH0 L D +CREDENTIALED(2) K R AH0 - D EH1 N - SH AH0 L D +CREDENTIALS K R AH0 - D EH1 N - SH AH0 L Z +CREDENTIALS(2) K R AH0 - D EH1 N - CH AH0 L Z +CREDEUR K R IH0 - D ER1 +CREDIBILITY K R EH2 - D AH0 - B IH1 - L IH0 - T IY0 +CREDIBLE K R EH1 - D AH0 - B AH0 L +CREDIBLY K R EH1 - D AH0 - B L IY0 +CREDIT K R EH1 - D AH0 T +CREDIT'S K R EH1 - D IH0 T S +CREDIT(2) K R EH1 - D IH0 T +CREDITABLE K R EH1 - D AH0 - T AH0 - B AH0 L +CREDITABLY K R EH1 - D AH0 - T AH0 - B L IY0 +CREDITANSTALT K R EH2 - D IH1 - T AH0 N SH - T AO2 L T +CREDITBANK K R EH1 - D IH0 T - B AE2 NG K +CREDITED K R EH1 - D AH0 - T AH0 D +CREDITED(2) K R EH1 - D IH0 - T IH0 D +CREDITHRIFT K R EH2 - D IH0 - TH R IH1 F T +CREDITING K R EH1 - D AH0 - T IH0 NG +CREDITO K R EH0 - D IY1 - T OW0 +CREDITOR K R EH1 - D AH0 - T ER0 +CREDITOR(2) K R EH1 - D IH0 - T ER0 +CREDITORS K R EH1 - D IH0 - T ER0 Z +CREDITORS' K R EH1 - D IH0 - T ER0 Z +CREDITS K R EH1 - D IH0 T S +CREDITWATCH K R EH1 - D IH0 T - W AA2 CH +CREDITWORTHINESS K R EH1 - D IH0 T - W ER2 - DH IY0 - N AH0 S +CREDITWORTHY K R EH1 - D IH0 T - W ER2 - DH IY0 +CREDLE K R EH1 - D AH0 L +CREDO K R EY1 - D OW0 +CREDO(2) K R IY1 - D OW0 +CREDULITY K R IH0 - D UW1 - L AH0 - T IY0 +CREE K R IY1 +CREECH K R IY1 CH +CREECY K R IY1 - S IY0 +CREED K R IY1 D +CREEDEN K R IY1 - D AH0 N +CREEDON K R IY1 - D AH0 N +CREEDS K R IY1 D Z +CREEGAN K R IY1 - G AH0 N +CREEK K R IY1 K +CREEK'S K R IY1 K S +CREEKMORE K R IY1 K - M AO0 R +CREEKMUR K R IY1 K - M ER0 +CREEKS K R IY1 K S +CREEL K R IY1 L +CREELMAN K R IY1 L - M AH0 N +CREELY K R IY1 - L IY0 +CREEP K R IY1 P +CREEPINESS K R IY1 - P IY0 - N IH0 S +CREEPING K R IY1 - P IH0 NG +CREEPS K R IY1 P S +CREEPY K R IY1 - P IY0 +CREER K R IH1 R +CREES K R IY1 Z +CREF K R EH1 F +CREF'S K R EH1 F S +CREGAN K R IY1 - G AH0 N +CREGAR K R IY1 - G ER0 +CREGER K R IY1 - JH ER0 +CREGG K R EH1 G +CREGGER K R EH1 - G ER0 +CREGO K R EH1 - G OW0 +CREHAN K R EH1 - HH AH0 N +CREIGHTON K R EY1 - T AH0 N +CREKO K R EH1 - K OW0 +CRELLIN K R EH1 - L IH0 N +CREMATE K R IY1 - M EY0 T +CREMATED K R IY1 - M EY0 - T IH0 D +CREMATION K R IY0 - M EY1 - SH AH0 N +CREMATORIA K R IY0 - M AH0 - T AO1 - R IY0 - AH0 +CREMATORIUM K R IY0 - M AH0 - T AO1 - R IY0 - AH0 M +CREME K R IY1 M +CREMEANS K R EH1 - M AH0 N Z +CREMEENS K R IH0 - M IY1 N Z +CREMER K R IY1 - M ER0 +CREMIN K R EH1 - M IH0 N +CRENELATE K R EH1 - N AH0 - L EY2 T +CRENELATED K R EH1 - N AH0 - L EY2 - T AH0 D +CRENSHAW K R EH1 N - SH AO2 +CRENWELGE K R EH1 N - W IH0 L JH +CREOLE K R IY1 - OW0 L +CREOLES K R IY0 - OW1 L Z +CREOLIZE K R IY1 - OW2 - L AY2 Z +CREOLIZED K R IY1 - OW2 - L AY2 Z D +CREOSOTE K R IY1 - AH0 - S OW2 T +CREPE K R EY1 P +CREPEAU K R IH0 - P OW1 +CREPES K R EY1 P S +CREPS K R EH1 P S +CREPT K R EH1 P T +CREQUE K R EH1 K +CRESAP K R EH1 - S AH0 P +CRESAP(2) K R IY1 - S AH0 P +CRESCENDO K R IH0 - SH EH1 N - D OW0 +CRESCENT K R EH1 - S AH0 N T +CRESCENZI K R EH0 S - CH EH1 N - Z IY0 +CRESCENZO K R EH0 S - CH EH1 N - Z OW0 +CRESCI K R EH1 - S IY0 +CRESCOTT K R EH1 - S K AA0 T +CRESON K R EH1 - S AH0 N +CRESPI K R EH1 - S P IY0 +CRESPIN K R EH1 - S P IH0 N +CRESPO K R EH1 - S P OW0 +CRESS K R EH1 S +CRESSES K R EH1 - S AH0 Z +CRESSES(2) K R EH1 - S IH0 Z +CRESSEY K R EH1 - S IY0 +CRESSLER K R EH1 S - L ER0 +CRESSMAN K R EH1 S - M AH0 N +CRESSON K R EH1 - S AH0 N +CRESSWELL K R EH1 S - W EH2 L +CRESSY K R EH1 - S IY0 +CREST K R EH1 S T +CRESTAR K R EH1 - S T AA2 R +CRESTED K R EH1 - S T AH0 D +CRESTFALLEN K R EH1 S T - F AO2 - L AH0 N +CRESTING K R EH1 - S T IH0 NG +CRESTMONT K R EH1 S T - M AA2 N T +CRESTS K R EH1 S T S +CRESTS(2) K R EH1 S S +CRESTS(3) K R EH1 S +CRESWELL K R EH1 S - W EH2 L +CRETACEOUS K R IH0 - T EY1 - SH IH0 S +CRETCHEN K R EH1 - CH AH0 N +CRETE K R IY1 T +CRETELLA K R EH0 - T EH1 - L AH0 +CRETIEN K R IY1 - SH Y AH0 N +CRETSINGER K R EH1 T - S IH0 N - JH ER0 +CREUTZFELDT K R UH1 T S - F EH0 L D +CREUTZFELDT(2) K R UH1 T S - F EH0 L T +CREVELING K R EH1 - V AH0 L - IH0 NG +CREVELING(2) K R EH1 V - L IH0 NG +CREVICE K R EH1 - V AH0 S +CREVICES K R EH1 - V AH0 - S IH0 Z +CREVIER K R IY1 - V IY0 - ER0 +CREVISTON K R EH1 - V IH0 - S T AA0 N +CREW K R UW1 +CREW'S K R UW1 Z +CREWE K R UW1 +CREWEL K R UW1 - AH0 L +CREWES K R UW1 Z +CREWMAN K R UW1 - M AH0 N +CREWMEN K R UW1 - M IH0 N +CREWS K R UW1 Z +CRIB K R IH1 B +CRIBARI K R IY0 - B AA1 - R IY0 +CRIBB K R IH1 B +CRIBBAGE K R IH1 - B IH0 JH +CRIBBS K R IH1 B Z +CRIBS K R IH1 B Z +CRICHLOW K R IH1 - K L OW0 +CRICHTON K R IH1 CH - T AH0 N +CRICK K R IH1 K +CRICKET K R IH1 - K AH0 T +CRICKET'S K R IH1 - K AH0 T S +CRICKET(2) K R IH1 - K IH0 T +CRICKETS K R IH1 - K AH0 T S +CRIDDLE K R IH1 - D AH0 L +CRIDER K R AY1 - D ER0 +CRIED K R AY1 D +CRIER K R AY1 - ER0 +CRIES K R AY1 Z +CRIGER K R AY1 - JH ER0 +CRIGGER K R IH1 - G ER0 +CRIGLER K R IH1 G - L ER0 +CRIHFIELD K R IH1 - F IY0 L D +CRILL K R IH1 L +CRILLEY K R IH1 - L IY0 +CRILLY K R IH1 - L IY0 +CRIM K R IH1 M +CRIME K R AY1 M +CRIME'S K R AY1 M Z +CRIMEA K R AY0 - M IY1 - AH0 +CRIMEAN K R IH0 - M IY1 N +CRIMEAN(2) K R AY2 - M IY1 - AH0 N +CRIMES K R AY1 M Z +CRIMI K R IY1 - M IY0 +CRIMINAL K R IH1 - M AH0 - N AH0 L +CRIMINAL'S K R IH1 - M AH0 - N AH0 L Z +CRIMINALIST K R IH1 - M AH0 - N AH0 - L IH0 S T +CRIMINALIST'S K R IH1 - M AH0 - N AH0 - L IH0 S T S +CRIMINALISTICS K R IH2 - M AH0 - N AH0 - L IH1 - S T IH0 K S +CRIMINALISTS K R IH1 - M AH0 - N AH0 - L IH0 S T S +CRIMINALISTS(2) K R IH1 - M AH0 - N AH0 - L IH0 S S +CRIMINALISTS(3) K R IH1 - M AH0 - N AH0 - L IH0 S +CRIMINALITY K R IH2 - M AH0 - N AE1 - L IH0 - T IY0 +CRIMINALIZATION K R IH2 - M AH0 - N AH0 - L AH0 - Z EY1 - SH AH0 N +CRIMINALIZE K R IH1 - M AH0 - N AH0 - L AY2 Z +CRIMINALIZED K R IH1 - M AH0 - N AH0 - L AY2 Z D +CRIMINALIZING K R IH1 - M AH0 - N AH0 - L AY2 - Z IH0 NG +CRIMINALLY K R IH1 - M AH0 - N AH0 - L IY0 +CRIMINALS K R IH1 - M AH0 - N AH0 L Z +CRIMINALS' K R IH1 - M AH0 - N AH0 L Z +CRIMINOLOGIST K R IH2 - M IH0 - N AA1 - L AH0 - JH IH0 S T +CRIMINOLOGISTS K R IH2 - M IH0 - N AA1 - L AH0 - JH IH0 S T S +CRIMINOLOGISTS(2) K R IH2 - M IH0 - N AA1 - L AH0 - JH IH0 S S +CRIMINOLOGISTS(3) K R IH2 - M IH0 - N AA1 - L AH0 - JH IH0 S +CRIMINOLOGY K R IH2 - M IH0 - N AA1 - L AH0 - JH IY0 +CRIMM K R IH1 M +CRIMMINS K R IH1 - M IH0 N Z +CRIMP K R IH1 M P +CRIMPED K R IH1 M P T +CRIMPING K R IH1 M - P IH0 NG +CRIMPS K R IH1 M P S +CRIMSON K R IH1 M - Z AH0 N +CRINER K R AY1 - N ER0 +CRINGE K R IH1 N JH +CRINGED K R IH1 N JH D +CRINGES K R IH1 N - JH IH0 Z +CRINGING K R IH1 N - JH IH0 NG +CRIP K R IH1 P +CRIPE K R AY1 P +CRIPPEN K R IH1 - P AH0 N +CRIPPLE K R IH1 - P AH0 L +CRIPPLED K R IH1 - P AH0 L D +CRIPPLES K R IH1 - P AH0 L Z +CRIPPLING K R IH1 - P AH0 L - IH0 NG +CRIPPLING(2) K R IH1 - P L IH0 NG +CRIPPS K R IH1 P S +CRIPS K R IH1 P S +CRIS K R IH1 S +CRISAFI K R IY0 - S AA1 - F IY0 +CRISAFULLI K R IY0 - S AA0 - F UW1 - L IY0 +CRISANTI K R IH0 - S AE1 N - T IY0 +CRISCI K R IH1 - S IY0 +CRISCIONE K R IY0 S - CH OW1 - N IY0 +CRISCO K R IY1 - S K OW0 +CRISCUOLO K R IY0 S K - W OW1 - L OW0 +CRISE K R AY1 Z +CRISES K R AY1 - S IY0 Z +CRISHMAN K R IH1 SH - M AH0 N +CRISHMAN'S K R IH1 SH - M AH0 N Z +CRISIS K R AY1 - S AH0 S +CRISLER K R IH1 - S AH0 L - ER0 +CRISLER(2) K R IH1 S - L ER0 +CRISLIP K R IH1 S - L IH0 P +CRISMAN K R IH1 S - M AH0 N +CRISMON K R IH1 Z - M AH0 N +CRISOSTOMO K R IY0 - S OW0 - S T OW1 - M OW0 +CRISP K R IH1 S P +CRISPELL K R IH1 - S P AH0 L +CRISPEN K R IH1 - S P AH0 N +CRISPER K R IH1 - S P ER0 +CRISPIN K R IH1 - S P IH0 N +CRISPINA K R IY0 - S P IY1 - N AH0 +CRISPINO K R IY0 - S P IY1 - N OW0 +CRISPLY K R IH1 S P - L IY0 +CRISPNESS K R IH1 S P - N AH0 S +CRISPO K R IY1 - S P OW0 +CRISPY K R IH1 - S P IY0 +CRISS K R IH1 S +CRISS-CROSS K R IH1 S - K R AO1 S +CRISS-CROSSED K R IH1 S - K R AO1 S T +CRISSCROSS K R IH1 S - K R AO2 S +CRISSCROSSED K R IH1 S - K R AO2 S T +CRISSCROSSING K R IH1 S - K R AO2 - S IH0 NG +CRISSEY K R IH1 - S IY0 +CRISSINGER K R IH1 - S IH0 N - JH ER0 +CRISSLOW K R IH1 S - L OW0 +CRISSMAN K R IH1 S - M AH0 N +CRIST K R IH1 S T +CRISTABEL K R IH1 - S T AH0 - B EH0 L +CRISTAL K R IH1 - S T AH0 L +CRISTIANI K R IH2 - S T IY0 - AA1 - N IY0 +CRISTIANI'S K R IH2 - S T IY0 - AA1 - N IY0 Z +CRISTIANI'S(2) K R IH2 - S CH IY0 - AA1 - N IY0 Z +CRISTIANI(2) K R IH2 - S CH IY0 - AA1 - N IY0 +CRISTIANO K R IY0 - S T IY0 - AA1 - N OW0 +CRISTINA K R IH0 - S T IY1 - N AH0 +CRISTO K R IH1 - S T OW2 +CRISTO'S K R IH1 - S T OW2 Z +CRISTOBAL K R IH1 - S T AH0 - B AH0 L +CRISTOBEL K R IH1 - S T AH0 - B EH0 L +CRISTOBEL'S K R IH1 - S T AH0 - B EH0 L Z +CRISWELL K R IH1 - S W EH0 L +CRITCHER K R IH1 - CH ER0 +CRITCHFIELD K R IH1 CH - F IY0 L D +CRITCHLEY K R IH1 CH - L IY0 +CRITCHLOW K R IH1 CH - L OW0 +CRITELLI K R IH0 - T EH1 - L IY0 +CRITERIA K R AY0 - T IH1 - R IY0 - AH0 +CRITERION K R AY0 - T IH1 - R IY0 - AH0 N +CRITES K R AY1 T S +CRITIC K R IH1 - T IH0 K +CRITIC'S K R IH1 - T IH0 K S +CRITICAL K R IH1 - T IH0 - K AH0 L +CRITICALITY K R IH2 - T AH0 - K AE1 - L AH0 - T IY0 +CRITICALLY K R IH1 - T IH0 - K AH0 - L IY0 +CRITICALLY(2) K R IH1 - T IH0 K - L IY0 +CRITICISM K R IH1 - T IH0 - S IH2 - Z AH0 M +CRITICISMS K R IH1 - T IH0 - S IH2 - Z AH0 M Z +CRITICIZE K R IH1 - T IH0 - S AY2 Z +CRITICIZED K R IH1 - T AH0 - S AY2 Z D +CRITICIZES K R IH1 - T IH0 - S AY2 - Z IH0 Z +CRITICIZING K R IH1 - T IH0 - S AY2 - Z IH0 NG +CRITICS K R IH1 - T IH0 K S +CRITICS' K R IH1 - T IH0 K S +CRITIQUE K R AH0 - T IY1 K +CRITIQUE(2) K R IH0 - T IY1 K +CRITIQUED K R IH0 - T IY1 K T +CRITIQUES K R IH0 - T IY1 K S +CRITIQUING K R IH0 - T IY1 - K IH0 NG +CRITON K R AY1 - T AH0 N +CRITSER K R IH1 T - S ER0 +CRITTENDEN K R IH0 - T EH1 N - D AH0 N +CRITTENDON K R IH1 - T AH0 N - D IH0 N +CRITTER K R IH1 - T ER0 +CRITTERS K R IH1 - T ER0 Z +CRITZ K R IH1 T S +CRITZER K R IH1 T - Z ER0 +CRIVARO K R IH0 - V AE1 - R OW0 +CRIVELLI K R IH0 - V EH1 - L IY0 +CRIVELLO K R IH0 - V EH1 - L OW0 +CRNKOVICH S ER1 - N AH0 - V IH2 CH +CRO K R OW1 +CROAK K R OW1 K +CROAKER K R OW1 - K ER0 +CROAKING K R OW1 - K IH0 NG +CROAT K R OW1 - AA2 T +CROAT'S K R OW1 - AA2 T S +CROATIA K R OW0 - EY1 - SH AH0 +CROATIA'S K R OW0 - EY1 - SH AH0 Z +CROATIAN K R OW0 - EY1 - SH AH0 N +CROATIAN'S K R OW0 - EY1 - SH AH0 N Z +CROATIANS K R OW0 - EY1 - SH AH0 N Z +CROATIANS' K R OW0 - EY1 - SH AH0 N Z +CROATS K R OW1 - AA2 T S +CROC K R AA1 K +CROCCO K R AA1 - K OW0 +CROCE K R OW1 - CH IY0 +CROCHET K R OW0 - SH EY1 +CROCHETED K R OW0 - SH EY1 D +CROCHETIERE K R OW2 - SH AH0 - T IH1 R +CROCHETING K R OW0 - SH EY1 - IH0 NG +CROCK K R AA1 K +CROCKER K R AA1 - K ER0 +CROCKER'S K R AA1 - K ER0 Z +CROCKERY K R AA1 - K ER0 - IY0 +CROCKETT K R AA1 - K IH0 T +CROCKFORD K R AA1 K - F ER0 D +CROCODILE K R AA1 - K AH0 - D AY2 L +CROCODILES K R AA1 - K AH0 - D AY2 L Z +CROCUS K R OW1 - K AH0 S +CROCUSES K R OW1 - K Y UW0 - S IH0 Z +CROFF K R AO1 F +CROFFORD K R AA1 - F ER0 D +CROFOOT K R OW1 - F UH0 T +CROFT K R AO1 F T +CROFTON K R AA1 F - T AH0 N +CROFTS K R AO1 F T S +CROGAN K R OW1 - G AH0 N +CROGHAN K R AA1 G - HH AH0 N +CROISSANT K W AA2 - S AA1 N T +CROISSANT(2) K R AH0 - S AA1 N T +CROISSANTS K W AA2 - S AA1 N T S +CROISSANTS(2) K R AH0 - S AA1 N T S +CROITZER K R OY1 T - S ER0 +CROIX K R OY1 +CROIX'S K R OY1 Z +CROKE K R OW1 K +CROKER K R OW1 - K ER0 +CROLEY K R OW1 - L IY0 +CROLL K R OW1 L +CROM K R AA1 M +CROMARTIE K R AA1 - M AA0 R - T IY0 +CROMBIE K R AA1 M - B IY0 +CROMER K R OW1 - M ER0 +CROMIE K R AA1 - M IY0 +CROMLEY K R AA1 M - L IY0 +CROMPTON K R AA1 M P - T AH0 N +CROMWELL K R AA1 M - W AH0 L +CROMWELL'S K R AA1 M - W IH0 L Z +CRON K R AA1 N +CRONAN K R OW1 - N AH0 N +CRONAUER K R AA1 - N AW0 R +CRONCE K R AA1 N S +CRONE K R OW1 N +CRONEN K R OW1 - N AH0 N +CRONER K R OW1 - N ER0 +CRONEY K R OW1 - N IY0 +CRONIES K R OW1 - N IY0 Z +CRONIN K R OW1 - N IH0 N +CRONK K R AA1 NG K +CRONKHITE K R AA1 NG K - HH AY2 T +CRONKITE K R AA1 NG - K AY2 T +CRONKRIGHT K R AA1 NG K - R AY2 T +CRONQUIST K R AA1 N - K W IH2 S T +CRONUS K R OW1 - N AH0 S +CRONY K R OW1 - N IY0 +CRONYISM K R OW1 - N IY0 - IH2 - Z AH0 M +CROOK K R UH1 K +CROOKE K R UH1 K +CROOKED K R UH1 - K AH0 D +CROOKEDNESS K R UH1 - K AH0 D - N AH0 S +CROOKER K R UH1 - K ER0 +CROOKLYN K R UH1 K - L IH2 N +CROOKLYN'S K R UH1 K - L IH2 N Z +CROOKS K R UH1 K S +CROOKSHANK K R UH1 K - SH AE2 NG K +CROOKSHANKS K R UH1 K - SH AE2 NG K S +CROOKSTON K R UH1 K - S T AH0 N +CROOM K R UW1 M +CROOMS K R UW1 M Z +CROON K R UW1 N +CROONER K R UW1 - N ER0 +CROONING K R UW1 - N IH0 NG +CROONS K R UW1 N Z +CROP K R AA1 P +CROP'S K R AA1 P S +CROPLAND K R AA1 P - L AE2 N D +CROPLEY K R AA1 P - L IY0 +CROPP K R AA1 P +CROPPED K R AA1 P T +CROPPER K R AA1 - P ER0 +CROPPING K R AA1 - P IH0 NG +CROPS K R AA1 P S +CROPSEY K R AA1 P - S IY0 +CROQUET K R OW0 - K EY1 +CROS K R AO1 S +CROSBEY K R AA1 S - B IY0 +CROSBIE K R AO1 Z - B IY0 +CROSBY K R AO1 Z - B IY0 +CROSBY'S K R AO1 Z - B IY0 Z +CROSE K R OW1 Z +CROSHAW K R AA1 - SH AO0 +CROSKEY K R AA1 S - K IY0 +CROSLAND K R AA1 S - L AH0 N D +CROSLEY K R AA1 S - L IY0 +CROSLIN K R AA1 S - L IH0 N +CROSON K R OW1 - S AH0 N +CROSS K R AO1 S +CROSS'S K R AO1 - S IH0 Z +CROSS-POLLINATE K R AO1 S - P AA1 - L AH0 - N EY2 T +CROSSAN K R AA1 - S AH0 N +CROSSBILL K R AO1 S - B IH2 L +CROSSBILLS K R AO1 S - B IH2 L Z +CROSSBONES K R AO1 S - B OW2 N Z +CROSSBORDER K R AO1 S - B AO2 R - D ER0 +CROSSBOW K R AO1 S - B OW2 +CROSSCURRENT K R AO1 S - K ER2 - AH0 N T +CROSSCURRENTS K R AO1 S - K ER2 - AH0 N T S +CROSSE K R AA1 S +CROSSED K R AO1 S T +CROSSEN K R AO1 - S AH0 N +CROSSER K R AO1 - S ER0 +CROSSES K R AO1 - S IH0 Z +CROSSETT K R AA1 - S IH0 T +CROSSFIELD K R AO1 S - F IY2 L D +CROSSFIRE K R AO1 S - F AY0 R +CROSSFIRE'S K R AO1 S - F AY0 R Z +CROSSFIRE(2) K R AO1 S - F AY2 R +CROSSIN K R AA1 - S IH0 N +CROSSING K R AO1 - S IH0 NG +CROSSINGS K R AO1 - S IH0 NG Z +CROSSLAND K R AO1 S - L AE2 N D +CROSSLEY K R AA1 S - L IY0 +CROSSLIN K R AA1 S - L IH0 N +CROSSMAN K R AO1 S - M AH0 N +CROSSNINE K R AO1 S - N AY2 N +CROSSNO K R OW1 S - N OW0 +CROSSON K R AA1 - S AH0 N +CROSSOVER K R AO1 S - OW2 - V ER0 +CROSSPIECE K R AO1 S - P IY2 S +CROSSPIECES K R AO1 S - P IY2 - S AH0 Z +CROSSPIECES(2) K R AO1 S - P IY2 - S IH0 Z +CROSSROAD K R AO1 S - R OW2 D +CROSSROADS K R AO1 S - R OW2 D Z +CROSSTALK K R AO1 S T - AO1 K +CROSSTOWN K R AO1 S T - AW2 N +CROSSVILLE K R AA1 S - V IH0 L +CROSSWALK K R AA1 S - W AA2 K +CROSSWHITE K R AA1 S - W AY0 T +CROSSWISE K R AO1 S - W AY2 Z +CROSSWORD K R AO1 S - W ER2 D +CROSSWORDS K R AO1 S - W ER2 D Z +CROSTHWAIT K R AA1 S TH - W AH0 T +CROSTHWAITE K R AA1 S TH - W AH0 T +CROSTON K R AA1 - S T AH0 N +CROSWELL K R AA1 S - W EH0 L +CROTCH K R AA1 CH +CROTCHETY K R AA1 - CH AH0 - T IY0 +CROTEAU K R AH0 - T OW1 +CROTHERS K R AH1 - DH ER0 Z +CROTONVILLE K R OW1 - T AH0 N - V IH2 L +CROTTEAU K R AH0 - T OW1 +CROTTS K R AA1 T S +CROTTY K R AA1 - T IY0 +CROTWELL K R AA1 T - W EH2 L +CROTZER K R OW1 T - Z ER0 +CROUCH K R AW1 CH +CROUCHED K R AW1 CH T +CROUCHER K R AW1 - CH ER0 +CROUCHING K R AW1 - CH IH0 NG +CROUGH K R AW1 +CROUNSE K R AW1 N S +CROUP K R UW1 P +CROUSE K R AW1 S +CROUSER K R AW1 - S ER0 +CROUT K R AW1 T +CROUTHAMEL K R AW1 - TH AH0 - M EH0 L +CROVITZ K R OW1 - V IH0 T S +CROVITZ'S K R OW1 - V IH0 T - S IH0 Z +CROVL K R OW1 - V AH0 L +CROVLS K R OW1 - V AH0 L Z +CROW K R OW1 +CROW'S K R OW1 Z +CROWBAR K R OW1 - B AA2 R +CROWBOROUGH K R OW1 - B ER0 - OW0 +CROWD K R AW1 D +CROWD'S K R AW1 D Z +CROWDED K R AW1 - D AH0 D +CROWDED(2) K R AW1 - D IH0 D +CROWDEN K R AW1 - D AH0 N +CROWDER K R AW1 - D ER0 +CROWDING K R AW1 - D IH0 NG +CROWDS K R AW1 D Z +CROWE K R OW1 +CROWED K R OW1 D +CROWELL K R OW1 - AH0 L +CROWING K R OW1 - IH0 NG +CROWKEEPER K R OW1 - K IY2 - P ER0 +CROWKEEPERS K R OW1 - K IY2 - P ER0 Z +CROWL K R AW1 L +CROWLE K R AW1 L +CROWLEY K R AW1 - L IY0 +CROWLEY'S K R AW1 - L IY0 Z +CROWN K R AW1 N +CROWN'S K R AW1 N Z +CROWNE K R AW1 N +CROWNED K R AW1 N D +CROWNER K R AW1 - N ER0 +CROWNING K R AW1 - N IH0 NG +CROWNLIKE K R AW1 N - L AY2 K +CROWNOVER K R AW1 N - OW2 - V ER0 +CROWNS K R AW1 N Z +CROWNX K R AW1 - N EH2 K S +CROWS K R OW1 Z +CROWSON K R AW1 - S AH0 N +CROWTHER K R AW1 - DH ER0 +CROWTHER'S K R OW1 - TH ER0 Z +CROWTHERS K R OW1 - TH ER0 Z +CROXTON K R AA1 K - S T AH0 N +CROY K R OY1 +CROYLE K R OY1 L +CROZIER K R OW1 - ZH ER0 +CRUCE K R UW1 S +CRUCES K R UW1 - S IY0 Z +CRUCIAL K R UW1 - SH AH0 L +CRUCIALLY K R UW1 - SH AH0 - L L IY0 +CRUCIALLY(2) K R UW1 - SH AH0 - L IY0 +CRUCIBLE K R UW1 - S AH0 - B AH0 L +CRUCIFIED K R UW1 - S AH0 - F AY2 D +CRUCIFIX K R UW1 - S AH0 - F IH2 K S +CRUCIFIXES K R UW1 - S AH0 - F IH2 K - S IH0 Z +CRUCIFIXION K R UW2 - S IH0 - F IH1 K - SH AH0 N +CRUCIFY K R UW1 - S AH0 - F AY2 +CRUD K R AH1 D +CRUDDY K R AH1 - D IY0 +CRUDE K R UW1 D +CRUDE'S K R UW1 D Z +CRUDELE K R UW1 - D AH0 L +CRUDELY K R UW1 D - L IY0 +CRUDES K R UW1 D Z +CRUDUP K R AH1 - D AH2 P +CRUEA K R UW1 - IY0 - AH0 +CRUEL K R UW1 - AH0 L +CRUEL(2) K R UW1 L +CRUELEST K R UW1 - L AH0 S T +CRUELLY K R UW1 - L IY0 +CRUELTIES K R UW1 L - T IY0 Z +CRUELTIES(2) K R UW1 - AH0 L - T IY0 Z +CRUELTY K R UW1 L - T IY0 +CRUELTY(2) K R UW1 - AH0 L - T IY0 +CRUEY K R AH1 - IY0 +CRUGER K R UW1 - JH ER0 +CRUICKSHANK K R UH1 K - SH AE2 NG K +CRUIKSHANK K R UW1 - IH0 K - SH AE2 NG K +CRUISE K R UW1 Z +CRUISED K R UW1 Z D +CRUISER K R UW1 - Z ER0 +CRUISER'S K R UW1 - Z ER0 Z +CRUISERS K R UW1 - Z ER0 Z +CRUISES K R UW1 - Z IH0 Z +CRUISING K R UW1 - Z IH0 NG +CRULL K R AH1 L +CRUM K R AH1 M +CRUMB K R AH1 M +CRUMBAUGH K R AH1 M - B AO2 +CRUMBLE K R AH1 M - B AH0 L +CRUMBLED K R AH1 M - B AH0 L D +CRUMBLES K R AH1 M - B AH0 L Z +CRUMBLEY K R AH1 M - B L IY0 +CRUMBLING K R AH1 M - B AH0 L - IH0 NG +CRUMBLING(2) K R AH1 M - B L IH0 NG +CRUMBS K R AH1 M Z +CRUMBY K R AH1 M - B IY0 +CRUME K R UW1 M +CRUMITIE K R UW1 - M IH0 - T IY0 +CRUMLEY K R AH1 M - L IY0 +CRUMLY K R AH1 M - L IY0 +CRUMM K R AH1 M +CRUMMETT K R AH1 - M IH0 T +CRUMMEY K R AH1 - M IY0 +CRUMMY K R AH1 - M IY0 +CRUMP K R AH1 M P +CRUMPACKER K R AH1 M - P AH0 - K ER0 +CRUMPLE K R AH1 M - P AH0 L +CRUMPLED K R AH1 M - P AH0 L D +CRUMPLER K R AH1 M - P AH0 - L ER0 +CRUMPLER(2) K R AH1 M - P L ER0 +CRUMPTON K R AH1 M P - T AH0 N +CRUMRINE K R AH1 - M R IY2 N +CRUNCH K R AH1 N CH +CRUNCHED K R AH1 N CH T +CRUNCHER K R AH1 N - CH ER0 +CRUNCHERS K R AH1 N - CH ER0 Z +CRUNCHES K R AH1 N - CH IH0 Z +CRUNCHING K R AH1 N - CH IH0 NG +CRUNCHY K R AH1 N - CH IY0 +CRUNK K R AH1 NG K +CRUNKLETON K R AH1 NG - K AH0 L - T AA0 N +CRUPI K R UW1 - P IY0 +CRUSADE K R UW0 - S EY1 D +CRUSADER K R UW0 - S EY1 - D ER0 +CRUSADERS K R UW0 - S EY1 - D ER0 Z +CRUSADES K R UW0 - S EY1 D Z +CRUSADING K R UW0 - S EY1 - D IH0 NG +CRUSAN K R UW1 - Z AH0 N +CRUSE K R UW1 Z +CRUSER K R UW1 - Z ER0 +CRUSH K R AH1 SH +CRUSHED K R AH1 SH T +CRUSHER K R AH1 - SH ER0 +CRUSHERS K R AH1 - SH ER0 Z +CRUSHES K R AH1 - SH IH0 Z +CRUSHING K R AH1 - SH IH0 NG +CRUSOE K R UW1 - S OW0 +CRUST K R AH1 S T +CRUSTACEAN K R AH0 - S T EY1 - SH AH0 N +CRUSTACEANS K R AH0 - S T EY1 - SH AH0 N Z +CRUSTAL K R AH1 - S T AH0 L +CRUSTED K R AH1 - S T IH0 D +CRUSTS K R AH1 S T S +CRUSTY K R AH1 - S T IY0 +CRUTCH K R AH1 CH +CRUTCHER K R AH1 - CH ER0 +CRUTCHES K R AH1 - CH IH0 Z +CRUTCHFIELD K R AH1 CH - F IY2 L D +CRUTCHFIELD'S K R AH1 CH - F IY2 L D Z +CRUTCHLEY K R AH1 CH - L IY0 +CRUTE K R UW1 T +CRUTHIRDS K R AH1 - TH ER0 D Z +CRUX K R AH1 K S +CRUZ K R UW1 Z +CRUZ'S K R UW1 - Z IH0 Z +CRUZADO K R UW2 - Z AA1 - D OW0 +CRUZADOS K R UW2 - Z AA1 - D OW0 S +CRUZAN K R UW1 - Z AH0 N +CRUZAN(2) K R UW2 - Z AE1 N +CRUZE K R UW1 Z +CRUZEN K R UW1 - Z AH0 N +CRY K R AY1 +CRYAN K R AY1 - AH0 N +CRYBABY K R AY1 - B EY1 - B IY0 +CRYDER K R AY1 - D ER0 +CRYDERMAN K R AY1 - D ER0 - M AH0 N +CRYE K R AY1 +CRYER K R AY1 - ER0 +CRYING K R AY1 - IH0 NG +CRYMES K R AY1 M Z +CRYOGENIC K R AY1 - AH0 - JH EH2 - N IH0 K +CRYOGENICS K R AY1 - AH0 - JH EH2 - N IH0 K S +CRYOLITE K R AY1 - AH0 - L AY2 T +CRYPT K R IH1 P T +CRYPTIC K R IH1 P - T IH0 K +CRYPTO K R IH1 P - T OW0 +CRYPTOCLEARANCE K R IH2 P - T OW0 - L IH1 - R AH0 N S +CRYPTOSPORIDIUM K R IH2 P - T OW0 - S P AO0 - R IH1 - D IY0 - AH0 M +CRYPTS K R IH1 P T S +CRYSLER K R IH1 - S AH0 L - ER0 +CRYSLER(2) K R IH1 S - L ER0 +CRYSTAL K R IH1 - S T AH0 L +CRYSTAL'S K R IH1 - S T AH0 L Z +CRYSTALLINE K R IH1 - S T AH0 - L AY2 N +CRYSTALLIZE K R IH1 - S T AH0 - L AY2 Z +CRYSTALLIZED K R IH1 - S T AH0 - L AY2 Z D +CRYSTALLIZING K R IH1 - S T AH0 - L AY2 - Z IH0 NG +CRYSTALLOGRAPHER K R IH2 - S T AH0 - L AA1 - G R AH0 - F ER0 +CRYSTALLOGRAPHY K R IH2 - S T AH0 - L AA1 - G R AH0 - F IY0 +CRYSTALS K R IH1 - S T AH0 L Z +CRYSTER K R AY1 - S T ER0 +CRYTZER K R AY1 T - Z ER0 +CSAR Z AA1 R +CSASZAR K AH0 - S AA1 - SH ER0 +CSASZAR(2) S AA1 - SH ER0 +CSPAN S IY1 - S P AE1 N +CSPI S IY1 - EH1 - S P IY1 - AY1 +CT K AO1 R T +CUADRA K UW0 - AA1 - D R AH0 +CUADRADO K UW0 - AA0 - D R AA1 - D OW0 +CUAJONE K Y UW1 - AH0 - JH OW2 N +CUAUHTEMOC K Y UW0 - AW1 - T AH0 - M AA0 K +CUB K AH1 B +CUBA K Y UW1 - B AH0 +CUBA'S K Y UW1 - B AH0 Z +CUBAN K Y UW1 - B AH0 N +CUBANS K Y UW1 - B AH0 N Z +CUBBAGE K AH1 - B IH0 JH +CUBBIES K AH1 - B IY0 Z +CUBBISON K AH1 - B IH0 - S AH0 N +CUBBYHOLE K AH1 - B IY0 - HH OW2 L +CUBE K Y UW1 B +CUBED K Y UW1 B D +CUBES K Y UW1 B Z +CUBIC K Y UW1 - B IH0 K +CUBIC'S K Y UW1 - B IH0 K S +CUBICLE K Y UW1 - B IH0 - K AH0 L +CUBICLES K Y UW1 - B IH0 - K AH0 L Z +CUBISM K Y UW1 - B IH0 - Z AH0 M +CUBIST K Y UW1 - B IH0 S T +CUBIT K Y UW1 - B IH0 T +CUBS K AH1 B Z +CUBS' K AH1 B Z +CUCCARO K UW0 - K AA1 - R OW0 +CUCCHI K UW1 - K IY0 +CUCCHIARA K UW0 - K IY0 - AA1 - R AH0 +CUCCI K UW1 - CH IY0 +CUCCIA K UW1 - CH AH0 +CUCCIO K UW1 - CH IY0 - OW0 +CUCKOO K AH1 - K UW2 +CUCKOO'S K UW1 - K UW0 Z +CUCKOO(2) K UW1 - K UW2 +CUCKOOS K UW1 - K UW0 Z +CUCO K UW1 - K OW0 +CUCUMBER K Y UW1 - K AH0 M - B ER0 +CUCUMBERS K Y UW1 - K AH0 M - ER0 Z +CUDAHY K AH1 - D AH0 - HH IY0 +CUDD K AH1 D +CUDDEBACK K AH1 D - B AE0 K +CUDDIHY K AH1 - D IH0 - HH IY0 +CUDDLE K AH1 - D AH0 L +CUDDLED K AH1 - D AH0 L D +CUDDLING K AH1 D - L IH0 NG +CUDDLY K AH1 D - L IY0 +CUDDY K AH1 - D IY0 +CUDE K Y UW1 D +CUDGEL K AH1 - JH AH0 L +CUDGELS K AH1 - JH AH0 L Z +CUDMORE K AH1 D - M AO0 R +CUDNEY K AH1 D - N IY0 +CUDWORTH K AH1 D - W ER2 TH +CUE K Y UW1 +CUED K Y UW1 D +CUELLAR K Y UW1 - L ER0 +CUELLO K UW0 - EH1 - L OW0 +CUENCA K W EH1 N - K AH0 +CUERO K W EH1 - R OW0 +CUERVO K UH1 R - V OW0 +CUES K Y UW1 Z +CUESTA K W EH1 - S T AH0 +CUETO K W EH1 - T OW0 +CUEVA K W EH1 - V AH0 +CUEVAS K W EH1 - V AA0 Z +CUFF K AH1 F +CUFFE K AH1 F +CUFFED K AH1 F T +CUFFEE K AH1 - F IY1 +CUFFS K AH1 F S +CUGINI K UW0 - JH IY1 - N IY0 +CUHNEY K UW1 - N IY0 +CUISINART K W IY1 - S IH0 - N ER0 T +CUISINART(2) K W IY1 - Z AH0 - N AA2 T +CUISINARTS K W IY1 - Z AH0 N - AA2 R T S +CUISINE K W IH0 - Z IY1 N +CUISINES K W IH0 - Z IY1 N Z +CUL K AH1 L +CULBERSON K AH1 L - B ER0 - S AH0 N +CULBERT K AH1 L - B ER0 T +CULBERTSON K AH1 L - B ER0 T - S AH0 N +CULBREATH K AH1 L - B R EH2 TH +CULBRETH K AH1 L - B R IH0 TH +CULBRO K AH1 L - B R OW0 +CULHANE K AH1 L - HH EY2 N +CULINARY K Y UW1 - L IH0 - N EH2 - R IY0 +CULINOVA K Y UW2 - L IH0 - N OW1 - V AH0 +CULKIN K AH1 L - K IH0 N +CULL K AH1 L +CULLAN K AH1 - L AH0 N +CULLED K AH1 L D +CULLEN K AH1 - L AH0 N +CULLENS K AH1 - L AH0 N Z +CULLER K AH1 - L ER0 +CULLER'S K AH1 - L ER0 Z +CULLERS K AH1 - L ER0 Z +CULLERTON K AH1 - L ER0 - T AH0 N +CULLERTON'S K AH1 - L ER0 - T AH0 N Z +CULLETON K UW1 - L IH0 - T AA0 N +CULLEY K AH1 - L IY0 +CULLIFER K AH1 - L IH0 - F ER0 +CULLIGAN K AH1 - L IH0 - G AH0 N +CULLIMORE K AH1 - L IY0 - M AO0 R +CULLIN K AH1 - L IH0 N +CULLINAN K AH1 - L IH0 - N AH0 N +CULLINANE K AH1 - L IH0 - N EY2 N +CULLINET K AH2 - L IH0 - N EH1 T +CULLING K AH1 - L IH0 NG +CULLINS K AH1 - L IH0 N Z +CULLIPHER K AH1 - L IH0 - F ER0 +CULLISON K AH1 - L IH0 - S AH0 N +CULLMAN K AH1 L - M AH0 N +CULLOM K AH1 - L AH0 M +CULLOP K AH1 - L AH0 P +CULLUD K AH1 - L AH0 D +CULLUM K AH1 - L AH0 M +CULLUM'S K AH1 - L AH0 M Z +CULLY K AH1 - L IY0 +CULMER K AH1 L - M ER0 +CULMINATE K AH1 L - M IH0 - N EY2 T +CULMINATED K AH1 L - M AH0 - N EY2 - T AH0 D +CULMINATED(2) K AH1 L - M AH0 - N EY2 - T IH0 D +CULMINATES K AH1 L - M IH0 - N EY2 T S +CULMINATING K AH1 L - M AH0 - N EY2 - T IH0 NG +CULMINATION K AH2 L - M AH0 - N EY1 - SH AH0 N +CULP K AH1 L P +CULPA K AH1 L - P AH0 +CULPABILITY K AH2 L - P AH0 - B IH1 - L IH0 - T IY0 +CULPABLE K AH1 L - P AH0 - B AH0 L +CULPEPPER K AH1 L - P IH0 - P ER0 +CULPRIT K AH1 L - P R IH0 T +CULPRITS K AH1 L - P R IH0 T S +CULT K AH1 L T +CULT'S K AH1 L T S +CULTIC K AH1 L - T IH0 K +CULTIST K AH1 L - T AH0 S T +CULTIST(2) K AH1 L - T IH0 S T +CULTISTS K AH1 L - T IH0 S T S +CULTISTS(2) K AH1 L - T IH0 S S +CULTIVATE K AH1 L - T AH0 - V EY2 T +CULTIVATED K AH1 L - T AH0 - V EY2 - T AH0 D +CULTIVATED(2) K AH1 L - T IH0 - V EY2 - T IH0 D +CULTIVATES K AH1 L - T IH0 - V EY2 T S +CULTIVATING K AH1 L - T IH0 - V EY2 - T IH0 NG +CULTIVATION K AH2 L - T IH0 - V EY1 - SH AH0 N +CULTON K AH1 L - T AH0 N +CULTS K AH1 L T S +CULTURAL K AH1 L - CH ER0 - AH0 L +CULTURALISM K AH1 L - CH ER0 - AH0 - L IH0 - Z AH0 M +CULTURALLY K AH1 L - CH ER0 - AH0 - L IY0 +CULTURE K AH1 L - CH ER0 +CULTURE'S K AH1 L - CH ER0 Z +CULTURED K AH1 L - CH ER0 D +CULTURES K AH1 L - CH ER0 Z +CULTURING K AH1 L - CH ER0 - IH0 NG +CULVAHOUSE K AH1 L - V AH0 - HH AW2 S +CULVER K AH1 L - V ER0 +CULVER'S K AH1 L - V ER0 Z +CULVERHOUSE K AH1 L - V ER0 - HH AW2 S +CULVERHOUSE'S K AH1 L - V ER0 - HH AW2 - S IH0 Z +CULVERT K AH1 L - V ER0 T +CULWELL K AH1 L - W EH2 L +CUL_DE_SAC K AH1 L - D IH0 - S AE2 K +CUM K AH1 M +CUMBEE K AH1 M - B IY2 +CUMBER K AH1 M - B ER0 +CUMBERBATCH K AH1 M - B ER0 - B AE2 CH +CUMBERLAND K AH1 M - B ER0 - L AH0 N D +CUMBERLEDGE K AH1 M - B ER0 - L EH2 JH +CUMBERSOME K AH1 M - B ER0 - S AH0 M +CUMBIE K AH1 M - B IY0 +CUMBO K AH1 M - B OW0 +CUMBY K AH1 M - B IY0 +CUMINGS K UW1 - M IH0 NG Z +CUMMING K AH1 - M IH0 NG +CUMMINGS K AH1 - M IH0 NG Z +CUMMINGTON K AH1 - M IH0 NG - T AH0 N +CUMMINS K AH1 - M IH0 N Z +CUMMINS'S K AH1 - M IH0 N - Z IH0 Z +CUMMISKEY K AH1 - M IH0 S - K IY0 +CUMPSTON K AH1 M P - S T AH0 N +CUMPTON K AH1 M P - T AH0 N +CUMULATIVE K Y UW1 - M Y AH0 - L AH0 - T IH0 V +CUMULATIVELY K Y UW1 - M Y AH0 - L AH0 - T IH0 V - L IY0 +CUNANAN K Y UW0 - N AE1 - N AH0 N +CUNARD K Y UW1 - N ER0 D +CUNDALL K AH1 N - D AH0 L +CUNDARI K UW0 N - D AA1 - R IY0 +CUNDIFF K AH1 N - D IH0 F +CUNDILL K AH1 N - D IH0 L +CUNDY K AH1 N - D IY0 +CUNEIFORM K Y UW1 - N IY0 - AH0 - F AO2 R M +CUNEO K Y UW1 - N IY0 - OW0 +CUNHA K AH1 N - HH AH0 +CUNLIFFE K AH1 N - L IH0 F +CUNNANE K AH1 - N AH0 N +CUNNEEN K AH0 - N IY1 N +CUNNIFF K AH1 - N IH0 F +CUNNING K AH1 - N IH0 NG +CUNNINGHAM K AH1 - N IH0 NG - HH AE2 M +CUNNINGHAM'S K AH1 - N IH0 NG - HH AE2 M Z +CUNNINGTON K AH1 - N IH0 NG - T AH0 N +CUNY K Y UW1 - N IY0 +CUOCO K W OW1 - K OW0 +CUOMO K W OW1 - M OW0 +CUOMO'S K W OW1 - M OW0 Z +CUONG K W AO1 NG +CUOZZO K W OW1 - Z OW0 +CUP K AH1 P +CUPBOARD K AH1 - B ER0 D +CUPBOARDS K AH1 - B ER0 D Z +CUPCAKE K AH1 P - K EY2 K +CUPCAKES K AH1 P - K EY2 K S +CUPERTINO K UW2 - P ER0 - T IY1 - N OW0 +CUPID K Y UW1 - P IH0 D +CUPIDS K Y UW1 - P IH0 D Z +CUPIT K Y UW1 - P IH0 T +CUPO K Y UW1 - P OW0 +CUPP K AH1 P +CUPPETT K AH1 - P IH0 T +CUPPLES K AH1 - P AH0 L Z +CUPPS K AH1 P S +CUPPY K AH1 - P IY0 +CUPS K AH1 P S +CUR K ER1 +CURABLE K Y UH1 - R AH0 - B AH0 L +CURACAO K Y UH1 - R AH0 - S AW2 +CURATE K Y UH1 - R AH0 T +CURATIVE K Y UH1 - R AH0 - T IH0 V +CURATOLO K UH0 - R AA0 - T OW1 - L OW0 +CURATOR K Y UH0 - R EY1 - T ER0 +CURATOR'S K Y UH0 - R EY1 - T ER0 Z +CURATOR'S(2) K Y UH1 - R AH0 - T ER0 Z +CURATOR(2) K Y UH1 - R AH0 - T ER0 +CURATORIAL K Y UH2 - R AH0 - T AO1 - R IY0 - AH0 L +CURATORS K Y UH1 - R AH0 - T ER0 Z +CURATORS(2) K Y UH0 - R EY1 - T ER0 Z +CURB K ER1 B +CURBED K ER1 B D +CURBELO K UH0 R - B EH1 - L OW0 +CURBING K ER1 - B IH0 NG +CURBOW K ER1 - B OW0 +CURBS K ER1 B Z +CURBSIDE K ER1 B - S AY2 D +CURBSTONE K ER1 B - S T OW2 N +CURBY K ER1 - B IY0 +CURCI K UH1 R - CH IY0 +CURCIO K UH1 R - CH IY0 - OW0 +CURCURU K UH0 R - K UH1 - R UW0 +CURD K ER1 D +CURE K Y UH1 R +CURED K Y UH1 R D +CURES K Y UH1 R Z +CURETON K Y UH1 R - T AH0 N +CURFEW K ER1 - F Y UW0 +CURFEWS K ER1 - F Y UW0 Z +CURFMAN K ER1 F - M AH0 N +CURIALE K UH0 - R IY0 - AA1 - L IY0 +CURIE K Y UH0 - R IY1 +CURIE(2) K Y UH1 - R IY0 +CURIEL K Y UW1 - R IY0 L +CURING K Y UH1 - R IH0 NG +CURINGTON K Y UH1 - R IH0 NG - T AH0 N +CURIOSITIES K Y UH2 - R IY0 - AA1 - S AH0 - T IY0 Z +CURIOSITY K Y UH2 - R IY0 - AA1 - S AH0 - T IY0 +CURIOUS K Y UH1 - R IY0 - AH0 S +CURIOUSER K Y UH1 - R IY0 - AH0 - S ER0 +CURIOUSLY K Y UH1 - R IY0 - AH0 S - L IY0 +CURITIBA K Y UH2 - IH0 - T IY1 - B AH0 +CURL K ER1 L +CURLE K AO1 - R AH0 L +CURLED K ER1 L D +CURLEE K ER1 - L IY1 +CURLER K ER1 - L ER0 +CURLERS K ER1 - L ER0 Z +CURLESS K ER1 - L AH0 S +CURLETT K ER1 - L IH0 T +CURLEY K ER1 - L IY0 +CURLIN K ER1 - L IH0 N +CURLING K ER1 - L IH0 NG +CURLS K ER1 L Z +CURLY K ER1 - L IY0 +CURMUDGEON K ER0 - M AH1 - JH IH0 N +CURNOW K ER1 - N OW0 +CURNUTT K ER1 - N AH0 T +CURNUTTE K ER0 - N AH1 T +CURRAGH K AH1 - R AH0 +CURRAGH(2) K ER1 - AH0 +CURRAN K ER1 - AH0 N +CURREN K ER1 - AH0 N +CURRENCE K ER1 - AH0 N S +CURRENCIES K ER1 - AH0 N - S IY0 Z +CURRENCIES' K ER0 - EH1 N - S IY0 Z +CURRENCY K ER1 - AH0 N - S IY0 +CURRENCY'S K ER1 - AH0 N - S IY0 Z +CURRENCYWATCH K ER1 - AH0 N - S IY0 - W AA2 CH +CURRENS K ER1 - AH0 N Z +CURRENT K ER1 - AH0 N T +CURRENT'S K ER1 - AH0 N T S +CURRENT(2) K ER1 N T +CURRENT(3) K AA1 - R AH0 N T +CURRENTLY K ER1 - AH0 N T - L IY0 +CURRENTS K ER1 - AH0 N T S +CURRERI K UH0 - R EH1 - R IY0 +CURREY K ER1 - IY0 +CURRICULA K ER0 - IH1 - K Y AH0 - L AH0 +CURRICULAR K ER0 - IH1 - K Y AH0 - L ER0 +CURRICULUM K ER0 - IH1 - K Y AH0 - L AH0 M +CURRICULUMS K ER0 - IH1 - K Y AH0 - L AH0 M Z +CURRIE K ER1 - IY0 +CURRIED K ER1 - IY0 D +CURRIER K ER1 - IY0 - ER0 +CURRIES K ER1 - IY0 Z +CURRIN K AO1 - R IH0 N +CURRINGTON K ER1 - IH0 NG - T AH0 N +CURRO K UH1 - R OW0 +CURRY K AH1 - R IY0 +CURRY'S K AH1 - R IY0 Z +CURRY'S(2) K ER1 - IY0 Z +CURRY(2) K ER1 - IY0 +CURRYING K ER1 - IY0 - IH0 NG +CURRYS K AH1 - R IY0 Z +CURRYS(2) K ER1 - IY0 Z +CURSE K ER1 S +CURSED K ER1 S T +CURSES K ER1 - S IH0 Z +CURSING K ER1 - S IH0 NG +CURSOR K ER1 - S ER0 +CURSORY K ER1 - S ER0 - IY0 +CURT K ER1 T +CURT'S K ER1 T S +CURTAIL K ER0 - T EY1 L +CURTAILED K ER0 - T EY1 L D +CURTAILING K ER0 - T EY1 - L IH0 NG +CURTAILMENT K ER0 - T EY1 L - M AH0 N T +CURTAILMENTS K ER0 - T EY1 L - M AH0 N T S +CURTAILS K ER0 - T EY1 L Z +CURTAIN K ER1 - T AH0 N +CURTAINS K ER1 - T AH0 N Z +CURTI K UH1 R - T IY0 +CURTICE K UH1 R - T IH0 S +CURTIN K ER1 - T IH0 N +CURTIS K ER1 - T AH0 S +CURTIS' K ER1 - T IH0 S +CURTIS(2) K ER1 - T IH0 S +CURTISS K ER1 - T IH0 S +CURTLY K ER1 T - L IY0 +CURTNER K ER1 T - N ER0 +CURTO K UH1 R - T OW0 +CURTRIGHT K ER1 T - R AY2 T +CURTS K ER1 T S +CURTSINGER K ER1 T - S IH0 N - JH ER0 +CURVATURE K ER1 - V AH0 - CH ER0 +CURVE K ER1 V +CURVED K ER1 V D +CURVES K ER1 V Z +CURVIN K ER1 - V IH0 N +CURVING K ER1 - V IH0 NG +CURVY K ER1 - V IY0 +CURZIO K ER1 - Z IY0 - OW0 +CUS K AH1 S +CUS(2) S IY1 - Y UW1 - EH1 S +CUSACK K Y UW1 - Z AH0 K +CUSANO K UW0 - S AA1 - N OW0 +CUSH K AH1 SH +CUSH(2) K UH1 SH +CUSHEY K UH1 - SH IY0 +CUSHING K UH1 - SH IH0 NG +CUSHION K UH1 - SH AH0 N +CUSHIONED K UH1 - SH AH0 N D +CUSHIONING K UH1 - SH AH0 N - IH0 NG +CUSHIONING(2) K UH1 SH - N IH0 NG +CUSHIONS K UH1 - SH AH0 N Z +CUSHITIC K AH0 - SH IH1 - T IH0 K +CUSHMAN K UH1 SH - M AH0 N +CUSHY K UH1 - SH IY0 +CUSIANA K Y UW2 - Z IY0 - AE1 - N AH0 +CUSIC K Y UW1 - Z IH0 K +CUSICK K Y UW1 - Z IH0 K +CUSIMANO K UW0 - S IY0 - M AA1 - N OW0 +CUSIP K AH1 - S IH0 P +CUSIP(2) K Y UW1 - S IH0 P +CUSK K AH1 S K +CUSMANO K UW0 S - M AA1 - N OW0 +CUSO K Y UW1 - S OW0 +CUSO'S K Y UW1 - S OW0 Z +CUSO'S(2) K UW1 - S OW0 Z +CUSO(2) K UW1 - S OW0 +CUSP K AH1 S P +CUSS K AH1 S +CUSSED K AH1 S T +CUSSING K AH1 - S IH0 NG +CUSSON K AH1 - S AH0 N +CUSTARD K AH1 - S T ER0 D +CUSTER K AH1 - S T ER0 +CUSTER'S K AH1 - S T ER0 Z +CUSTIS K AH1 - S T IH0 S +CUSTODIAL K AH0 - S T OW1 - D IY0 - AH0 L +CUSTODIAN K AH0 - S T OW1 - D IY0 - AH0 N +CUSTODIANS K AH0 - S T OW1 - D IY0 - AH0 N Z +CUSTODIO K UW0 - S T OW1 - D IY0 - OW0 +CUSTODY K AH1 - S T AH0 - D IY0 +CUSTOM K AH1 - S T AH0 M +CUSTOMARILY K AH2 - S T AH0 - M EH1 - R AH0 - L IY0 +CUSTOMARY K AH1 - S T AH0 - M EH2 - R IY0 +CUSTOMER K AH1 - S T AH0 - M ER0 +CUSTOMER'S K AH1 - S T AH0 - M ER0 Z +CUSTOMERS K AH1 - S T AH0 - M ER0 Z +CUSTOMERS' K AH1 - S T AH0 - M ER0 Z +CUSTOMIZE K AH1 - S T AH0 - M AY2 Z +CUSTOMIZED K AH1 - S T AH0 - M AY2 Z D +CUSTOMIZING K AH1 - S T AH0 - M AY2 - Z IH0 NG +CUSTOMS K AH1 - S T AH0 M Z +CUSUMANO K UW0 - S UW0 - M AA1 - N OW0 +CUT K AH1 T +CUTAIA K UW0 - T AA1 - Y AH0 +CUTAWAY K AH1 T - AH0 - W EY0 +CUTBACK K AH1 T - B AE2 K +CUTBACKS K AH1 T - B AE2 K S +CUTBIRTH K AH1 T - B ER2 TH +CUTCHALL K AH1 - CH AH0 L +CUTCHER K AH1 - CH ER0 +CUTCHIN K AH1 - CH IH0 N +CUTCHINS K AH1 - CH IH0 N Z +CUTE K Y UW1 T +CUTENESS K Y UW1 T - N AH0 S +CUTER K Y UW1 - T ER0 +CUTESINESS K Y UW1 T - S IY2 - N IH0 S +CUTEST K Y UW1 - T IH0 S T +CUTESY K Y UW1 T - S IY0 +CUTHBERT K AH1 TH - B ER0 T +CUTHBERTSON K AH1 TH - B ER0 T - S AH0 N +CUTHRELL K AH1 - TH R AH0 L +CUTICLE K Y UW1 - T AH0 - K AH0 L +CUTICLE(2) K Y UW1 - T IH0 - K AH0 L +CUTILLO K Y UW2 - T IH1 - L OW0 +CUTLASS K AH1 T - L AH0 S +CUTLER K AH1 T - L ER0 +CUTLER'S K AH1 T - L ER0 Z +CUTLERY K AH1 T - L ER0 - IY0 +CUTLIP K AH1 T - L IH0 P +CUTOFF K AH1 - T AO2 F +CUTOFFS K AH1 - T AO2 F S +CUTOUT K AH1 T - AW2 T +CUTOUTS K AH1 T - AW2 T S +CUTRALE K AH1 - T R EY2 L +CUTRELL K AH1 - T R AH0 L +CUTRER K AH1 - T R ER0 +CUTRIGHT K AH1 T - R AY2 T +CUTRONA K UW0 - T R OW1 - N AH0 +CUTRONE K UW0 - T R OW1 - N IY0 +CUTS K AH1 T S +CUTSFORTH K AH1 T S - F AO2 R TH +CUTSHALL K AH1 - CH AH0 L +CUTSHAW K AH1 - CH AO2 +CUTSINGER K AH1 T - S IH0 N - JH ER0 +CUTTER K AH1 - T ER0 +CUTTERS K AH1 - T ER0 Z +CUTTHROAT K AH1 T - TH R OW2 T +CUTTING K AH1 - T IH0 NG +CUTTINGS K AH1 - T IH0 NG Z +CUTTINO K UW0 - T IY1 - N OW0 +CUTTLEFISH K AH1 - T AH0 L - F IH2 SH +CUTTS K AH1 T S +CUTTY K AH1 - T IY0 +CUTUGNO K Y UW0 - T AH1 - N Y OW0 +CUTWORM K AH1 T - W ER2 M +CUTWORMS K AH1 T - W ER2 M Z +CUVELIER K Y UW1 V - L IY0 - ER0 +CUYAHOGA K AY2 - AH0 - HH OW1 - G AH0 +CUYLER K AY1 - L ER0 +CUZZORT K AH1 - Z ER0 T +CWIERTNIA K W IY1 R T - N IY0 - AH0 +CWIK K W IH1 K +CWIKLA K W IH1 - K L AH0 +CWIKLINSKI K W IH0 - K L IH1 N - S K IY0 +CWYNAR K W IH1 - N ER0 +CXC S IY1 - EH1 K S - S IY1 +CXC(2) S IY1 - EH1 K - S IY1 +CY S AY1 +CYACQ S AY1 - AE0 K +CYAN S AY0 - AE1 N +CYANAMID S AY0 - AE1 - N AH0 - M IH0 D +CYANAMID'S S AY0 - AE1 - N AH0 - M IH0 D Z +CYANAZINE S AY1 - AH0 - N AH0 - Z IY2 N +CYANIDE S AY1 - AH0 - N AY2 D +CYANIDE(2) S AY1 - N AY2 D +CYANURIC S AY0 - AE1 - N ER0 - IH0 K +CYB S AY1 B +CYB(2) S IY1 - W AY1 - B IY1 +CYBER S AY1 - B ER0 +CYBERCASH S AY1 - B ER0 - K AE2 SH +CYBERPORN S AY1 - B ER0 - P AO2 R N +CYBERSEX S AY1 - B ER0 - S EH2 K S +CYBERSPACE S AY1 - B ER0 - S P EY2 S +CYBERSPACE'S S AY1 - B ER0 - S P EY2 - S IH0 Z +CYBILL S AY1 - B IH2 L +CYBULSKI K IH0 - B AH1 L S - K IY0 +CYCADS S AY1 - K AE0 D Z +CYCARE S AY1 - K EH2 R +CYCLADES S AY0 - K L EY1 - D IY0 Z +CYCLADES(2) S AY1 - K L AE2 D Z +CYCLE S AY1 - K AH0 L +CYCLED S AY1 - K AH0 L D +CYCLES S AY1 - K AH0 L Z +CYCLICAL S AY1 - K L IH0 - K AH0 L +CYCLICAL(2) S IH1 - K L IH0 - K AH0 L +CYCLICALITY S IH2 - K L IH0 - K AE1 - L IH0 - T IY0 +CYCLICALS S IH1 - K L IH0 - K AH0 L Z +CYCLING S AY1 - K AH0 L - IH0 NG +CYCLING(2) S AY1 - K L IH0 NG +CYCLIST S AY1 - K AH0 - L IH0 S T +CYCLIST(2) S AY1 - K L IH0 S T +CYCLISTS S AY1 - K AH0 - L IH0 S T S +CYCLISTS(2) S AY1 - K AH0 - L IH0 S S +CYCLISTS(3) S AY1 - K L IH0 S T S +CYCLISTS(4) S AY1 - K L IH0 S S +CYCLISTS(5) S AY1 - K AH0 - L IH0 S +CYCLISTS(6) S AY1 K - L IH0 S +CYCLOHEXANE S AY2 - K L AH0 - HH EH1 K - S EY0 N +CYCLONE S IH0 - K L OW1 N +CYCLONES S IH0 - K L OW1 N Z +CYCLOPEAN S AY2 - K L AH0 - P IY1 - AH0 N +CYCLOPS S AY1 - K L AO2 P S +CYCLOPS'S S AY1 - K L AO2 P - S IH0 Z +CYCLOSPORINE S IH0 - K L AO1 - S P ER0 - IY2 N +CYCLOSTOME S AY1 K - L AH0 S - T OW2 M +CYCLOSTOMES S AY1 K - L AH0 S - T OW2 M Z +CYCOLOR S IH1 - K AH0 - L ER0 +CYD S IH1 D +CYDONIA S IH0 - D OW1 - N IY0 - AH0 +CYDROME S IH0 - D R OW1 M +CYGAN S AY1 - G AH0 N +CYGNE S IH1 G - N AH0 +CYGNUS S IH1 G - N AH0 S +CYHEXATIN S AY0 - HH EH1 K - S AH0 - T IH0 N +CYLINDER S IH1 - L AH0 N - D ER0 +CYLINDER(2) S IH1 - L IH0 N - D ER0 +CYLINDERS S IH1 - L AH0 N - D ER0 Z +CYLINDRICAL S AH0 - L IH1 N - D R IH0 - K AH0 L +CYLINDRICAL(2) S IH0 - L IH1 N - D R IH0 - K AH0 L +CYMBAL S IH1 M - B AH0 L +CYMBALS S IH1 M - B AH0 L Z +CYMROT S IH1 - M R AH0 T +CYNARA K IH0 N - AA1 - R AH0 +CYNDI S IH1 N - D IY0 +CYNIC S IH1 - N IH0 K +CYNICAL S IH1 - N IH0 - K AH0 L +CYNICALLY S IH1 - N IH0 - K AH0 - L IY0 +CYNICALLY(2) S IH1 - N IH0 K - L IY0 +CYNICISM S IH1 - N IH0 - S IH2 - Z AH0 M +CYNICS S IH1 - N IH0 K S +CYNRIC S IH1 N - R IH0 K +CYNTH S IH1 N TH +CYNTHIA S IH1 N - TH IY0 - AH0 +CYNTHIA'S S IH1 N - TH IY0 - AH0 Z +CYNTHIE S IH1 N - TH IY0 +CYNWYD S IH1 N - W IH0 D +CYPERT S AY1 - P ER0 T +CYPHER S AY1 - F ER0 +CYPHERS S AY1 - F ER0 Z +CYPHERT S AY1 - F ER0 T +CYPRESS S AY1 - P R AH0 S +CYPRESS'S S AY1 - P R AH0 - S IH0 Z +CYPRESS(2) S AY1 - P R IH0 S +CYPRIAN S IH1 - P R IY0 - AH0 N +CYPRIOT S IH1 - P R IY0 - AH0 T +CYPRIOT(2) S IH1 - P R IY0 - AA2 T +CYPRIOTS S IH1 - P R IY0 - AH0 T S +CYPRIOTS(2) S IH1 - P R IY0 - AA2 T S +CYPRIS S AY1 - P R IH0 S +CYPRUS S AY1 - P R AH0 S +CYR S IH1 R +CYRAN K IH1 - R AH0 N +CYRANO K IY0 - R AA1 - N OW0 +CYRANO(2) S IH1 - R AH0 - N OW2 +CYRENA K IH0 - R IY1 - N AH0 +CYRIL S IH1 - R AH0 L +CYRILLA S IH0 - R IH1 - L AH0 +CYRILLIC S ER0 - IH1 - L IH0 K +CYRIX S AY1 - R IH2 K S +CYRIX'S S AY1 - R IH2 K - S IH0 Z +CYRIX'S(2) S IH1 - R IH0 K - S IH0 Z +CYRIX(2) S IH1 - R IH0 K S +CYRUS S AY1 - R AH0 S +CYST S IH1 S T +CYSTIC S IH1 - S T IH0 K +CYSTS S IH1 S T S +CYSTS(2) S IH1 S S +CYSTS(3) S IH1 S +CYTHEREA S IH2 - TH ER0 - IY1 - AH0 +CYTOGEN S AY1 - T OW0 - JH EH0 N +CYTOLOGY S AY0 - T AA1 - L AH0 - JH IY0 +CYTOMEGALOVIRUS S AY2 - T AH0 - M EH2 - G AH0 - L OW0 - V AY1 - R AH0 S +CYTOPLASM S AY1 - T AH0 - P L AE2 - Z AH0 M +CYTOPLASMIC S AY2 - T AH0 - P L AE1 Z - M IH0 K +CYTOTECH S AY1 - T OW0 - T EH2 K +CYTOTECHS S AY1 - T OW0 - T EH2 K S +CYWINSKI K IH0 - V IH1 N - S K IY0 +CZAJA CH AY1 - AH0 +CZAJKA CH AY1 - K AH0 +CZAJKOWSKI CH AY0 - K AO1 F S - K IY0 +CZAPLA CH AA1 - P L AH0 +CZAPLEWSKI CH AH0 - P L EH1 F S - K IY0 +CZAPLICKI CH AH0 - P L IH1 T S - K IY0 +CZAR Z AA1 R +CZAR'S Z AA1 R Z +CZARIST Z AA1 - R IH0 S T +CZARNECKI CH ER0 - N EH1 T S - K IY0 +CZARNIK CH AA1 R - N IH0 K +CZARNY CH AA1 R - N IY0 +CZARS Z AA1 R Z +CZECH CH EH1 K +CZECHOSLOVAK CH EH2 - K AH0 - S L OW1 - V AA0 K +CZECHOSLOVAKIA CH EH2 - K AH0 - S L OW0 - V AA1 - K IY0 - AH0 +CZECHOSLOVAKIA'S CH EH2 - K AH0 - S L OW0 - V AA1 - K IY0 - AH0 Z +CZECHOSLOVAKIAN CH EH2 - CH AH0 - S L OW0 - V AA1 - K IY0 - AH0 N +CZECHOSLOVAKS CH EH2 - K AH0 - S L OW1 - V AA0 K S +CZECHOWSKI CH IH0 - HH AO1 F S - K IY0 +CZECHS CH EH1 K S +CZEKAJEWSKI CH EH2 - K AH0 - JH UW1 S - K IY0 +CZEPIEL CH EH1 - P IY0 L +CZERNIAK CH ER1 - N IY0 - AE0 K +CZERNY CH ER1 - N IY0 +CZERWINSKI CH ER0 - V IH1 N - S K IY0 +CZERWONKA CH ER0 - V AA1 NG - K AH0 +CZESLAW CH EH0 S - L AO1 +CZYZ CH IH1 Z +CZYZEWSKI CH IH0 - Z EH1 F S - K IY0 +D D IY1 +D'AFFAIRES D AH0 - F EH1 R Z +D'AGOSTINO D AA2 - G AH0 - S T IY1 - N OW0 +D'ALENE D AH0 - L IY1 N +D'ALESSANDRO D AE2 - L EH0 - S AE1 N - D R OW0 +D'ALLEST D AE2 - L EH1 S T +D'AMATO D AH0 - M AA1 - T OW0 +D'AMATO'S D AH0 - M AA1 - T OW0 Z +D'AMERICA D AH0 - M EH1 - R IH0 - K AH0 +D'AMICO D AE2 - M IY0 - K OW2 +D'AMORE D IY2 - AH0 - M AO1 - R EY0 +D'AMORE'S D IY2 - AH0 - M AO1 - R EY0 Z +D'ANDREA D AE1 N - D R IY0 - AH0 +D'ANGELO D IY0 - AE1 N - JH IH0 - L OW0 +D'ARCY D AA1 R - S IY0 +D'AUBUISSON D AO1 B - W IY2 - S AA2 N +D'AVIATION D EY2 - V IY0 - EY1 - SH AH0 N +D'ELECTRICITE D AH0 - L EH2 K - T R IH1 - S AH0 - T EY2 +D'ELECTRICITE(2) D AH0 - L EH2 K - T R IH1 - S IH2 - T EY2 +D'ESCOTO D EH0 - S K OW1 - T OW0 +D'ESTAING D AH0 - S T EY1 NG +D'ETAT D EH1 - T AE2 T +D'ETAT(2) D EY2 - T AA1 +D'ETATS D EY2 - T AA1 Z +D'ETRE D EH1 - T R IY0 +D'ETUDE D EH1 - T UW2 D +D'GENETTA D IY0 - JH AH0 - N EH1 - T AH0 +D'IVOIRE D IY0 - V W AA1 R +D'OEUVRE D ER1 V +D'OEUVRES D ER1 V Z +D'OR D AO1 R +D'ORSAY D AO2 R - S EY1 +D'S D IY1 Z +D'SOUZA D IH0 - S UW1 - Z AH0 +D'SOUZA(2) D IY0 - S UW1 - Z AH0 +D. D IY1 +D.'S D IY1 Z +D.S D IY1 Z +DA D AA1 +DA'S D IY1 - EY1 Z +DA(2) D IY1 - EY1 +DAANE D AA1 N +DAB D AE1 B +DABAH D AE1 - B AH0 +DABAH(2) D AH0 - B AA1 +DABBING D AE1 - B IH0 NG +DABBLE D AE1 - B AH0 L +DABBLED D AE1 - B AH0 L D +DABBLES D AE1 - B AH0 L Z +DABBLING D AE1 - B AH0 L - IH0 NG +DABBLING(2) D AE1 - B L IH0 NG +DABBS D AE1 B Z +DABCHICK D AE1 B - CH IH0 K +DABHOL D AE1 - B OW0 L +DABKOWSKI D AH0 B - K AO1 F S - K IY0 +DABNEY D AE1 B - N IY0 +DABROWSKI D AH0 - B R AO1 F S - K IY0 +DAC D AE1 K +DACE D EY1 S +DACEY D EY1 - S IY0 +DACHA D AA1 - CH AH0 +DACHAU D AE1 - K AW0 +DACHSHUND D AA1 K S - HH UH2 N D +DACHSHUNDS D AA1 K S - HH UH2 N T S +DACIA D EY1 - SH IY0 - AH0 +DACK D AE1 K +DACOSTA D AA0 - K OW1 - S T AH0 +DACQUISTO D AE1 - K W IH0 - S T OW0 +DACRON D AE1 - K R AA2 N +DACRUZ D AA1 - K R UW0 Z +DACS D AE1 K S +DACUNHA D AH0 - K AH1 N - HH AH0 +DACUS D AE1 - K IH0 S +DACY D EY1 - S IY0 +DAD D AE1 D +DAD'S D AE1 D Z +DADA D AA1 - D AA2 +DADAMO D AA0 - D AA1 - M OW0 +DADDARIO D AA0 - D AA1 - R IY0 - OW0 +DADDIES D AE1 - D IY0 Z +DADDONA D AA0 - D OW1 - N AH0 +DADDY D AE1 - D IY0 +DADDY'S D AE1 - D IY0 Z +DADDY-O D AE1 - D IY0 - OW0 +DADDY-O'S D AE1 - D IY0 - OW0 Z +DADE D EY1 D +DADELAND D EY1 D - L AH0 N D +DADFAR D AE1 D - F AA2 R +DADISMAN D AE1 - D IH0 S - M AH0 N +DADO D EY1 - D OW2 +DADS D AE1 D Z +DADY D EY1 - D IY0 +DAE D EY1 +DAEDALUS D EH1 - D AH0 - L AH0 S +DAEDALUS(2) D EY2 - D AE1 - L AH0 S +DAELIM D EY2 - L IY1 M +DAEMON D IY1 - M AH0 N +DAEMON(2) D EY1 - M AH0 N +DAENZER D EH1 N - Z ER0 +DAEWOO D EY1 - W UW2 +DAFFERN D AE1 - F ER0 N +DAFFIN D AE1 - F IH0 N +DAFFODIL D AE1 - F AH0 - D IH2 L +DAFFODILS D AE1 - F AH0 - D IH2 L Z +DAFFRON D AE1 - F R AH0 N +DAFFY D AE1 - F IY0 +DAFFYNITION D AE2 - F IY0 - N IH1 - SH AH0 N +DAFNA D AE1 F - N AH0 +DAFOE D AE1 - F OW0 +DAFSA D AE1 F - S AH0 +DAFT D AE1 F T +DAG D AE1 G +DAGAN D EY1 - G AH0 N +DAGATA D AA0 - G AA1 - T AH0 +DAGEN D AE1 - G AH0 N +DAGENAIS D AE1 - ZH IH0 - N EY0 +DAGENHAM D AE1 - G AH0 N - HH AE2 M +DAGENHART D AE1 - G AH0 N - HH AA2 R T +DAGER D EY1 - G ER0 +DAGESTAN D AE1 - G EH0 - S T AE2 N +DAGG D AE1 G +DAGGER D AE1 - G ER0 +DAGGERS D AE1 - G ER0 Z +DAGGETT D AE1 - G IH0 T +DAGGS D AE1 G Z +DAGGY D AE1 - G IY0 +DAGLE D EY1 - G AH0 L +DAGLEY D AE1 G - L IY0 +DAGMAR D AE1 G - M AA2 R +DAGON D EY1 - G AH0 N +DAGOSTINO D AA0 - G OW0 - S T IY1 - N OW0 +DAGUE D AA1 G +DAGWOOD D AE1 G - W UH2 D +DAH D AH1 +DAHER D AA1 - ER0 +DAHILL D AA1 - HH IH0 L +DAHL D AA1 L +DAHL'S D AA1 L Z +DAHLBERG D AA1 L - B ER0 G +DAHLE D AA1 - AH0 L +DAHLEM D AA1 - L IH0 M +DAHLEN D AA1 - L AH0 N +DAHLER D AA1 - L ER0 +DAHLGREN D AE1 L - G R IH0 N +DAHLHEIMER D AA1 L - HH AY2 - M ER0 +DAHLIA D AE1 - L Y AH0 +DAHLIN D AA1 - L IH0 N +DAHLKE D AA1 L K +DAHLMAN D AA1 L - M AH0 N +DAHLQUIST D AA1 L - K W IH2 S T +DAHLSTROM D AA1 L - S T R AH0 M +DAHM D AE1 M +DAHMAN D AA1 - M AH0 N +DAHMEN D AA1 - M EH0 N +DAHMER D AA1 - M ER0 +DAHMER'S D AA1 - M ER0 Z +DAHMS D AA1 M Z +DAHN D AE1 N +DAHN(2) D AA1 N +DAHNKE D AE1 NG K +DAHRAIN D AH0 - R EY1 N +DAI D AY1 +DAIDO D EY1 - D OW0 +DAIDONE D EY1 - D OW2 N +DAIEI D AY1 - EY2 +DAIGLE D EY1 - G AH0 L +DAIGLER D EY1 - G L ER0 +DAIGNAULT D EH0 G - N OW1 +DAIGNEAULT D EH0 G - N OW1 +DAIGRE D EY1 - G ER0 +DAIGREPONT D EY1 - G R IH0 - P AA0 N T +DAIHATSU D AY2 - HH AE1 T - S UW0 +DAIICHI D AY2 - IY1 - CH IY0 +DAIKIN D EY1 - K IH0 N +DAIL D EY1 L +DAILE D EY1 L +DAILEY D EY1 - L IY0 +DAILIES D EY1 - L IY0 Z +DAILY D EY1 - L IY0 +DAIMLER D EY1 M - L ER0 +DAIMLER'S D EY1 M - L ER0 Z +DAIMLER(2) D EH1 M - L ER0 +DAIMONES D EY1 - M OW2 N Z +DAIN D EY1 N +DAINES D EY1 N Z +DAINI D EY1 - N IY0 +DAINIPPON D EY2 - N IH0 - P AA1 N +DAINS D EY1 N Z +DAINTY D EY1 N - T IY0 +DAIRIES D EH1 - R IY0 Z +DAIRY D EH1 - R IY0 +DAIRYING D EH1 - R IY0 - IH0 NG +DAIRYMEN D EY1 - R IY0 - M AH0 N +DAIS D EY1 Z +DAISE D EY1 Z +DAISEY D EY1 - S IY0 +DAISHOWA D EY2 - SH AW1 - AH0 +DAISIES D EY1 - Z IY0 Z +DAISY D EY1 - Z IY0 +DAISY'S D EY1 - Z IY0 Z +DAIWA D EY1 - W AH0 +DAIWA'S D EY1 - W AH0 Z +DAJUN D EY1 - JH AH0 N +DAK D AE1 K +DAK(2) D IY1 - EY1 - K EY1 +DAKAR D AA0 - K AA1 R +DAKE D EY1 K +DAKIN D EY1 - K IH0 N +DAKOTA D AH0 - K OW1 - T AH0 +DAKOTA'S D AH0 - K OW1 - T AH0 Z +DAKOTAN D AH0 - K OW1 - T AH0 N +DAKOTANS D AH0 - K OW1 - T AH0 N Z +DAKOTAS D AH0 - K OW1 - T AH0 Z +DAL D AE1 L +DALAFIELD D AE1 - L AH0 - F IY2 L D +DALAI D AE1 - L EY2 +DALAI(2) D AO1 - L AY2 +DALAI(3) D AA1 - L IY2 +DALAL D EY1 - L AH0 L +DALBAR D AE1 L - B AA0 R +DALBEC D AE1 L - B IH0 K +DALBERT D AE1 L - B ER0 T +DALBEY D AE1 L - B IY0 +DALBY D AO1 L - B IY0 +DALE D EY1 L +DALE'S D EY1 L Z +DALEIDEN D AE1 - L AY0 - D AH0 N +DALEN D AE1 - L AH0 N +DALEO D AA1 - L IY0 - OW0 +DALES D EY1 L Z +DALESANDRO D AA0 - L EH0 - S AA1 N - D R OW0 +DALESIO D AH0 - L IY1 - S IY0 - OW0 +DALESSANDRO D AA0 - L EH0 - S AA1 N - D R OW0 +DALESSIO D AH0 - L EH1 - S IY0 - OW0 +DALETH D AA1 - L EH2 TH +DALEY D EY1 - L IY0 +DALEY'S D EY1 - L IY0 Z +DALFEN D AE1 L - F AH0 N +DALFONSO D AE2 L - F AA1 N - S OW0 +DALFORT D AO1 L - F ER0 T +DALGETY D AE2 L - G EH1 - T IY0 +DALGLEISH D AE1 L - G AH0 - L IH0 SH +DALGLEISH(2) D AE1 L - G L IH2 SH +DALHOUSE D AO1 L - HH AW2 S +DALI D AA1 - L IY0 +DALIA D AA1 - L Y AH0 +DALIAN D EY1 - L IY0 - AH0 N +DALIBERTI D AE0 - L AH0 - B EH1 R - T IY0 +DALILA D AH0 - L AY1 - L AH0 +DALIS D AE1 - L IH0 S +DALKE D EY1 L K +DALKON D AE1 L - K AH0 N +DALL D AO1 L +DALLA D AE1 - L AH0 +DALLAIRE D AA1 - L EH0 R +DALLARA D AE2 - L AA1 - R AH0 +DALLAS D AE1 - L AH0 S +DALLAS' D AE1 - L AH0 S +DALLAS'S D AE1 - L AH0 - S IH0 Z +DALLEY D AE1 - L IY0 +DALLHOLD D AO1 L - HH OW2 L D +DALLIANCE D AE1 - L IY0 - AH0 N S +DALLIED D AE1 - L IY0 D +DALLMAN D AO1 L - M AH0 N +DALLMANN D AO1 L - M AH0 N +DALLY D AE1 - L IY0 +DALMA D AA1 L - M AH0 +DALMAN D AE1 L - M AH0 N +DALMATIAN D AE0 L - M EY1 - SH AH0 N +DALMATIANS D AE0 L - M EY1 - SH AH0 N Z +DALMO D AO1 L - M OW0 +DALO D AA1 - L OW0 +DALOIA D AA0 - L OW1 - Y AH0 +DALOISIO D AA0 - L OY1 - S IY0 - OW0 +DALONZO D AH0 - L AA1 N - Z OW0 +DALPE D EY1 L P +DALPIAZ D AA0 L - P IY1 - AA0 Z +DALPORTO D AA0 L - P AO1 R - T OW0 +DALRYMPLE D AE1 L - R IH0 M - P AH0 L +DALTO D AA1 L - T OW0 +DALTON D AO1 L - T AH0 N +DALTON'S D AO1 L - T AH0 N Z +DALTONS D AO1 L - T AH0 N Z +DALY D EY1 - L IY0 +DALZELL D AE1 L - Z AH0 L +DALZIEL D AE1 L - Z IY2 L +DAM D AE1 M +DAM'S D AE1 M Z +DAMA D AA1 - M AH0 +DAMACLEAN D AE1 - M AH0 - K L IY0 N +DAMAGE D AE1 - M AH0 JH +DAMAGE(2) D AE1 - M IH0 JH +DAMAGED D AE1 - M AH0 JH D +DAMAGED(2) D AE1 - M IH0 JH D +DAMAGES D AE1 - M AH0 - JH AH0 Z +DAMAGES(2) D AE1 - M IH0 - JH IH0 Z +DAMAGING D AE1 - M IH0 - JH IH0 NG +DAMAN D EY1 - M AH0 N +DAMARIS D AH0 - M AA1 - R AH0 S +DAMAS D AA1 - M AH0 Z +DAMASCUS D AH0 - M AE1 S - K AH0 S +DAMASCUS'S D AH0 - M AE1 S - K AH0 - S IH0 Z +DAMASK D AE1 - M AH0 S K +DAMASKS D AE1 - M AH0 S K S +DAMATO D AA0 - M AA1 - T OW0 +DAMBACH D AE1 M - B AA2 K +DAMBACHER D AE1 M - B AA2 - K ER0 +DAMBRA D AE1 M - B R AH0 +DAMBROSIA D AA0 M - B R OW1 - S IY0 - AH0 +DAMBROSIO D AE2 M - B R OW1 - S IY0 - OW0 +DAME D EY1 M +DAME'S D EY1 M Z +DAMELIO D AH0 - M IY1 - L IY0 - OW0 +DAMER D EY1 - M ER0 +DAMERON D AA0 - M EH0 - R AO1 N +DAMES D EY1 M Z +DAMEWOOD D EY1 M - W UH2 D +DAMGARD D AE1 M - G AA2 R D +DAMIAN D EY1 - M IY0 - AH0 N +DAMIANI D AA0 - M IY0 - AA1 - N IY0 +DAMIANO D AA0 - M IY0 - AA1 - N OW0 +DAMICO D AA0 - M IY1 - K OW0 +DAMIEN D EY1 - M IY0 - AH0 N +DAMIEN'S D EY1 - M IY0 - AH0 N Z +DAMIETTA D AE2 - M IY0 - EH1 - T AH0 +DAMINOZIDE D AE2 - M IH1 - N AH0 - Z AY2 D +DAMITA D AA0 - M IY1 - T AH0 +DAMITZ D AE1 - M IH0 T S +DAMM D AE1 M +DAMMAM D AE1 - M AH0 M +DAMMAN D AE1 - M AH0 N +DAMMANN D AE1 - M AH0 N +DAMME D AE1 M +DAMME(2) D EY1 M +DAMMED D AE1 M D +DAMMEN D AE1 - M AH0 N +DAMMER D AE1 - M ER0 +DAMMERMAN D AE1 - M ER0 - M AH0 N +DAMMING D AE1 - M IH0 NG +DAMMIT D AE1 - M IH0 T +DAMN D AE1 M +DAMNATION D AE0 M - N EY1 - SH AH0 N +DAMNED D AE1 M D +DAMNING D AE1 - M IH0 NG +DAMOCLES D AE1 - M AH0 - K L IY2 Z +DAMON D EY1 - M AH0 N +DAMON'S D EY1 - M AH0 N Z +DAMONE D AH0 - M OW1 N +DAMONS D EY1 - M AH0 N Z +DAMOOSE D AH0 - M UW1 S +DAMORE D EY1 - M AO2 R +DAMOUR D AH0 - M UH1 R +DAMP D AE1 M P +DAMPED D AE1 M P T +DAMPEN D AE1 M - P AH0 N +DAMPENED D AE1 M - P AH0 N D +DAMPENING D AE1 M - P AH0 - N IH0 NG +DAMPENING(2) D AE1 M P - N IH0 NG +DAMPER D AE1 M - P ER0 +DAMPERS D AE1 M - P ER0 Z +DAMPIER D AE1 M - P IY0 - ER0 +DAMPING D AE1 M - P IH0 NG +DAMPNESS D AE1 M P - N IH0 S +DAMPS D AE1 M P S +DAMRON D AE1 - M R AH0 N +DAMROW D AE1 M - R OW2 +DAMS D AE1 M Z +DAMSEL D AE1 M - Z AH0 L +DAMSON D AE1 M - S AH0 N +DAMUTH D AE1 - M UW0 TH +DAN D AE1 N +DAN'S D AE1 N Z +DANA D EY1 - N AH0 +DANA'S D EY1 - N AH0 Z +DANAHER D AE1 - N AH0 - HH ER0 +DANAHY D AE1 - N AH0 - HH IY0 +DANBURY D AE1 N - B ER0 - IY0 +DANBY D AE1 N - B IY0 +DANCA D AA1 NG - K AH0 +DANCANET D AE2 NG - K AH0 - N EH1 T +DANCE D AE1 N S +DANCED D AE1 N S T +DANCER D AE1 N - S ER0 +DANCER'S D AE1 N - S ER0 Z +DANCERS D AE1 N - S ER0 Z +DANCERS' D AE1 N - S ER0 Z +DANCES D AE1 N - S AH0 Z +DANCES(2) D AE1 N - S IH0 Z +DANCEY D AE1 N - S IY0 +DANCIN' D AE1 N - S IH0 N +DANCING D AE1 N - S IH0 NG +DANCSAK D AE1 N K - S AE0 K +DANCY D AE1 N - S IY0 +DANDELION D AE1 N - D AH0 - L AY2 - AH0 N +DANDELIONS D AE1 N - D AH0 - L AY2 - AH0 N Z +DANDENEAU D AE1 N - D IH0 - N OW0 +DANDO D AE1 N - D OW0 +DANDREA D AE1 N - D R IY0 - AH0 +DANDRIDGE D AE1 N - D R IH0 JH +DANDRUFF D AE1 N - D R AH0 F +DANDURAND D AE1 N - D ER0 - AH0 N D +DANDY D AE1 N - D IY0 +DANDYISM D AE1 N - D IY0 - IH2 - Z AH0 M +DANE D EY1 N +DANE'S D EY1 N Z +DANEK D AE1 - N IH0 K +DANELLA D AH0 - N EH1 - L AH0 +DANELLE D AH0 - N EH1 L +DANER D EY1 - N ER0 +DANES D EY1 N Z +DANESE D AA0 - N EY1 - Z IY0 +DANEY D EY1 - N IY0 +DANFORD D AE1 N - F ER0 D +DANFORTH D AE1 N - F ER0 TH +DANG D AE1 NG +DANGEL D EY1 NG - G AH0 L +DANGELO D AE1 N - JH AH0 - L OW0 +DANGER D EY1 N - JH ER0 +DANGERFIELD D EY1 N - JH ER0 - F IY2 L D +DANGEROUS D EY1 N - JH ER0 - AH0 S +DANGEROUSLY D EY1 N - JH ER0 - AH0 S - L IY0 +DANGERS D EY1 N - JH ER0 Z +DANGEWS D EY1 N - JH UW0 Z +DANGLE D AE1 NG - G AH0 L +DANGLED D AE1 NG - G AH0 L D +DANGLER D AE1 NG - G AH0 - L ER0 +DANGLER(2) D AE1 NG - G L ER0 +DANGLES D AE1 NG - G AH0 L Z +DANGLING D AE1 NG - G AH0 - L IH0 NG +DANGLING(2) D AE1 NG - G L IH0 NG +DANGO D AE1 NG - G OW0 +DANI D AA1 - N IY0 +DANIA D EY1 - N Y AH0 +DANICA D AE1 - N IH0 - K AH0 +DANIEL D AE1 - N Y AH0 L +DANIEL'S D AE1 - N Y AH0 L Z +DANIELA D AE0 - N Y EH1 - L AH0 +DANIELE D AE0 - N Y EH1 L +DANIELL D AE1 - N IY0 L +DANIELLA D AE2 - N Y EH1 - L AH0 +DANIELLE D AE2 - N IY0 - EH1 L +DANIELLE(2) D AE2 - N Y EH1 L +DANIELLO D AA0 - N IY0 - EH1 - L OW0 +DANIELS D AE1 - N Y AH0 L Z +DANIELS'S D AE1 - N Y AH0 L - Z IH0 Z +DANIELS'S(2) D AE2 - N Y EH1 L - Z IH0 Z +DANIELSEN D AE1 - N Y AH0 L - S AH0 N +DANIELSKI D AH0 - N IY1 L - S K IY0 +DANIELSON D AE1 - N Y AH0 L - S AH0 N +DANILOFF D AE1 - N AH0 - L AO0 F +DANIS D AA1 - N IY0 Z +DANISH D EY1 - N IH0 SH +DANJU D AE1 N - JH UW0 +DANJU'S D AE1 N - JH UW0 Z +DANJUB D AE1 N - JH UW0 B +DANJUB'S D AE1 N - JH UW0 B Z +DANJUBE D AE1 N - JH UW0 B +DANJUBE'S D AE1 N - JH UW0 B Z +DANJUS D AE1 N - JH AH0 S +DANJUS(2) D AE1 N - JH UW0 Z +DANK D AE1 NG K +DANKER D AE1 NG - K ER0 +DANKERT D AE1 NG - K ER0 T +DANKNER D AE1 NG K - N ER0 +DANKO D AE1 NG - K OW0 +DANKS D AE1 NG K S +DANLEY D AE1 N - L IY0 +DANLY D AE1 N - L IY0 +DANN D AE1 N +DANNA D AE1 - N AH0 +DANNELLY D AE1 - N AH0 - L IY0 +DANNELS D AE1 - N AH0 L Z +DANNEMEYER D AE1 - N AH0 - M AY2 R +DANNEMEYER(2) D AE1 N - M AY2 R +DANNEMILLER D AE1 - N AH0 - M IH2 - L ER0 +DANNEMILLER(2) D AE1 N - M IH2 - L ER0 +DANNEN D AE1 - N AH0 N +DANNENBERG D AE1 - N AH0 N - B ER0 G +DANNER D AE1 - N ER0 +DANNERS D AE1 - N ER0 Z +DANNIE D AE1 - N IY0 +DANNUNZIO D AA0 - N UW1 N - Z IY0 - OW0 +DANNY D AE1 - N IY0 +DANNY'S D AE1 - N IY0 Z +DANO D AA1 - N OW0 +DANOS D EY1 - N OW0 Z +DANOWSKI D AH0 - N AO1 F S - K IY0 +DANSBY D AE1 N S - B IY0 +DANSER D AE1 N - S ER0 +DANSEREAU D AE1 N - S ER0 - OW2 +DANSFORTH D AE1 N S - F AO1 R TH +DANSFORTH'S D AE1 N S - F AO1 R TH S +DANSIE D AE1 N - S IY0 +DANSKE D AE1 N S K +DANSKIN D AE1 N - S K IH0 N +DANSKY D AE1 N S - K IY0 +DANSON D AE1 N - S AH0 N +DANSTETT D AE1 N - S T EH0 T +DANSVILLE D AE1 N Z - V IH0 L +DANSVILLE'S D AE1 N Z - V IH0 L Z +DANT D AE1 N T +DANTE D AA1 N - T EY0 +DANTE'S D AE1 N - T IY0 Z +DANTIN D AE1 N - T IH0 N +DANTON D AE1 N - T AH0 N +DANTONI D AA0 N - T OW1 - N IY0 +DANTONIO D AE2 N - T OW1 - N IY0 - OW0 +DANTRELL D AE2 N - T R EH1 L +DANTUONO D AA0 N - T W OW1 - N OW0 +DANTZLER D AE1 N T S - L ER0 +DANUBE D AE1 - N Y UW0 B +DANVERS D AE1 N - V ER0 Z +DANVILLE D AE1 N - V IH2 L +DANVY D AE1 N - V IY0 +DANYLYSZYN D AE2 - N IH0 - L IY1 - Z IH0 N +DANZ D AE1 N Z +DANZA D AE1 N - Z AH0 +DANZER D AE1 N - Z ER0 +DANZIG D AE1 N - Z IH0 G +DANZIGER D AE1 N - Z IH0 - G ER0 +DANZY D AE1 N - Z IY0 +DAO D AW1 +DAOUD D AW1 D +DAOUST D AW1 S T +DAPHNE D AE1 F - N IY0 +DAPHNE'S D AE1 F - N IY0 Z +DAPHNIS D AE1 F - N AH0 S +DAPICE D AA1 - P IH0 S +DAPOLITO D AA0 - P OW0 - L IY1 - T OW0 +DAPONTE D AA0 - P OW1 N - T EY0 +DAPOZZO D AH0 - P AA1 - Z OW2 +DAPP D AE1 P +DAPPER D AE1 - P ER0 +DAPUZZO D AH0 - P AH1 - Z OW0 +DAQUILA D AA0 K - W IY1 - L AH0 +DAR D AA1 R +DARA D AE1 - R AH0 +DARAK D EH1 - R AE0 K +DARBLAY D AA1 R - B L EY0 +DARBONNE D AA1 R - B AH0 N +DARBY D AA1 R - B IY0 +DARBY'S D AA1 R - B IY0 Z +DARBYSHIRE D AA1 R - B IH0 - SH AY2 R +DARCANGELO D AA0 R - K AA0 NG - G EH1 - L OW0 +DARCEY D AA1 R - S IY0 +DARCIE D AA1 R - K IY0 +DARCO D AA1 R - K OW0 +DARCY D AA1 R - S IY0 +DARDAR D AA0 R - D AA1 R +DARDEN D AA1 R - D AH0 N +DARDEN'S D AA1 R - D AH0 N Z +DARDIS D AA1 R - D IH0 S +DARE D EH1 R +DARED D EH1 R D +DAREDEVIL D EH1 R - D EH2 - V AH0 L +DAREMBLUM D EH1 - R AH0 M - B L UW2 M +DAREN D AE1 - R IH0 N +DARENSBOURG D AE1 - R IH0 N S - B ER0 G +DARENSBOURG(2) D AE1 - R AH0 N Z - B ER0 G +DARES D EH1 R Z +DARESAY D EH1 R - S EY0 +DARGA D AA1 R - G AH0 +DARGAN D AA1 R - G AH0 N +DARGIS D AA1 R - G IH0 S +DARIA D AA1 - R IY0 - AH0 +DARICE D AA1 - R IH0 S +DARIEN D EH1 - R IY0 - AH0 N +DARIENZO D AA0 - R IY1 N - Z OW0 +DARIN D AE1 - R IH0 N +DARING D EH1 - R IH0 NG +DARIO D EH1 - R IY0 - OW2 +DARITY D AE1 - R IH0 - T IY0 +DARIUS D ER0 - AY1 - AH0 S +DARJEELING D AA2 R - JH IY1 - L IH0 NG +DARJEELING(2) D AA2 R - ZH IY1 - L IH0 NG +DARK D AA1 R K +DARKE D AA1 R K +DARKEN D AA1 R - K AH0 N +DARKENED D AA1 R - K AH0 N D +DARKENING D AA1 R - K AH0 - N IH0 NG +DARKENING(2) D AA1 R K - N IH0 NG +DARKER D AA1 R - K ER0 +DARKEST D AA1 R - K AH0 S T +DARKIE D AA1 R - K IY0 +DARKLY D AA1 R K - L IY0 +DARKNESS D AA1 R K - N AH0 S +DARKROOM D AA1 R K - R UW2 M +DARLAND D AA1 R - L AH0 N D +DARLENE D AA1 R - L IY2 N +DARLEY D AA1 R - L IY0 +DARLIN D AA1 R - L IH0 N +DARLINE D AA1 R - L AY2 N +DARLING D AA1 R - L IH0 NG +DARLINGS D AA1 R - L IH0 NG Z +DARLINGTON D AA1 R - L IH0 NG - T AH0 N +DARMAN D AA1 R - M AH0 N +DARMAN'S D AA1 R - M AH0 N Z +DARMSTADT D AA1 R M - S T AE2 T +DARN D AA1 R N +DARNALL D AA1 R - N AH0 L +DARNED D AA1 R N D +DARNEDEST D AA1 R N - D EH0 S T +DARNEDEST(2) D AA1 R - N EH0 S T +DARNEL D AA1 R - N AH0 L +DARNELL D AA0 R - N EH1 L +DARNER D AA1 R - N ER0 +DARNOLD D AA1 R - N OW2 L D +DARNS D AA1 R N Z +DAROCHA D AA0 - R OW1 - K AH0 +DAROSA D AA0 - R OW1 - S AH0 +DARPA D AA1 R - P AH0 +DARPINO D AA0 R - P IY1 - N OW0 +DARR D EH1 R +DARR(2) D AA1 R +DARRAGH D EH1 - R AH0 +DARRAH D AE1 - R AH0 +DARRELL D EH1 - R AH0 L +DARRELLE D ER0 - EH1 L +DARREN D AA1 - R AH0 N +DARRICK D AE1 - R IH0 K +DARRIGO D AA2 - R IY1 - G OW0 +DARRINGTON D AE1 - R IH0 NG - T AH0 N +DARROCH D AE1 - R AH0 K +DARROUGH D AE1 - R AW0 +DARROW D EH1 - R OW0 +DARRYL D EH1 - R AH0 L +DARSEY D AA1 R - S IY0 +DARST D AA1 R S T +DARSY D AA1 R - S IY0 +DART D AA1 R T +DART'S D AA1 R T S +DARTBOARD D AA1 R T - B AO2 R D +DARTED D AA1 R - T IH0 D +DARTER D AA1 R - T ER0 +DARTEZ D AA0 R - T EH1 Z +DARTH D AA1 R TH +DARTING D AA1 R - T IH0 NG +DARTMOUTH D AA1 R T - M AH0 TH +DARTMOUTH'S D AA1 R T - M AH0 TH S +DARTON D AA1 R - T AH0 N +DARTS D AA1 R T S +DARTT D AA1 R T +DARTY D AA1 R - T IY0 +DARTY'S D AA1 R - T IY0 Z +DARVILLE D AA1 R - V IH2 L +DARWIN D AA1 R - W IH0 N +DARWINIAN D AA2 R - W IH1 - N IY0 - AH0 N +DARWINISM D AA1 R - W IH0 - N IH2 - Z AH0 M +DARWISH D AA1 R - W IH0 SH +DARYL D EH1 - R AH0 L +DAS D AE1 S +DASA D AA1 - S AH0 +DASA(2) D AE1 - S AH0 +DASARO D AA0 - S AA1 - R OW0 +DASBURG D AE1 S - B ER0 G +DASCENZO D AA0 S - CH EH1 N - Z OW0 +DASCH D AE1 SH +DASCHLE D AE1 SH - L IY0 +DASCOLI D AA0 - S K OW1 - L IY0 +DASE D EY1 Z +DASEKE D EY1 - S AH0 - K IY0 +DASH D AE1 SH +DASHBOARD D AE1 SH - B AO2 R D +DASHBOARDS D AE1 SH - B AO2 R D Z +DASHED D AE1 SH T +DASHEL D AE1 - SH AH0 L +DASHELL D AE1 - SH AH0 L +DASHER D AE1 - SH ER0 +DASHES D AE1 - SH IH0 Z +DASHIELL D AE1 - SH IY0 L +DASHIKI D AH0 - SH IY1 - K IY0 +DASHING D AE1 - SH IH0 NG +DASHNAW D AE1 SH - N AO0 +DASHNER D AE1 SH - N ER0 +DASHVILLE D AE1 SH - V IH2 L +DASHWOOD D AE1 SH - W UH2 D +DASILVA D AH0 - S IH1 L - V AH0 +DASPIN D AE1 - S P IH0 N +DASPIT D AE1 - S P IH0 T +DASS D AE1 S +DASSAULT D AE1 - S AO0 L T +DASSAULT'S D AE1 - S AO0 L T S +DASSLER D AE1 S - L ER0 +DASSOW D AE1 - S OW0 +DASTARDLY D AE1 - S T ER0 D - L IY0 +DAT D AE1 T +DATA D EY1 - T AH0 +DATA'S D EY1 - T AH0 Z +DATA'S(2) D AE1 - T AH0 Z +DATA(2) D AE1 - T AH0 +DATABASE D EY1 - T AH0 - B EY2 S +DATABASE(2) D AE1 - T AH0 - B EY2 S +DATABASES D EY1 - T AH0 - B EY2 - S IH0 Z +DATABASES(2) D AE1 - T AH0 - B EY2 - S IH0 Z +DATACARD D EY1 - T AH0 - K AA2 R D +DATACARD(2) D AE1 - T AH0 - K AA2 R D +DATACOMM D EY1 - T AH0 - K AA2 M +DATACOMM(2) D AE1 - T AH0 - K AA2 M +DATACOMP D EY1 - T AH0 - K AA2 M P +DATACOMP(2) D AE1 - T AH0 - K AA2 M P +DATACOPY D EY1 - T AH0 - K AA2 - P IY0 +DATACOPY(2) D AE1 - T AH0 - K AA2 - P IY0 +DATAGRAPHIX D EY1 - T AH0 - G R AE2 - F IH0 K S +DATAGRAPHIX(2) D EY1 - T AH0 - G R AE2 - F IH0 K S +DATAMETRICS D EY1 - T AH0 - M EH2 - T R IH0 K S +DATAMETRICS(2) D AE1 - T AH0 - M EH2 - T R IH0 K S +DATAPOINT D EY1 - T AH0 - P OY1 N T +DATAPOINT'S D EY1 - T AH0 - P OY1 N T S +DATAPOINT'S(2) D AE1 - T AH0 - P OY1 N T S +DATAPOINT(2) D AE1 - T AH0 - P OY1 N T +DATAPOWER D EY1 - T AH0 - P AW2 R +DATAPOWER(2) D AE1 - T AH0 - P AW2 R +DATAPRODUCTS D EY1 - T AH0 - P R AA2 - D AH0 K T S +DATAPRODUCTS' D EY1 - T AH0 - P R AO2 - D AH0 K T S +DATAPRODUCTS'(2) D AE1 - T AH0 - P R AO2 - D AH0 K T S +DATAQUEST D EY1 - T AH0 - K W EH2 S T +DATAQUEST'S D EY1 - T AH0 - K W EH2 S T S +DATAQUEST'S(2) D AE1 - T AH0 - K W EH2 S T S +DATAQUEST(2) D AE1 - T AH0 - K W EH2 S T +DATARAM D EY1 - T ER0 - AE2 M +DATARAM(2) D AE1 - T ER0 - AE2 M +DATAREX D EY1 - T ER0 - EH2 K S +DATAREX(2) D AE1 - T ER0 - EH2 K S +DATAS D EY1 - T AH0 Z +DATAS(2) D AE1 - T AH0 Z +DATE D EY1 T +DATED D EY1 - T IH0 D +DATEK D AE1 - T EH0 K +DATELINE D EY1 T - L AY2 N +DATELINE'S D EY1 T - L AY2 N Z +DATELINES D EY1 T - L AY2 N Z +DATES D EY1 T S +DATEXT D AE1 - T EH2 K S T +DATING D EY1 - T IH0 NG +DATO D AA1 - T OW0 +DATRON D AE1 - T R AH0 N +DATS D AE1 T S +DATSUN D AE1 T - S AH0 N +DATSUN'S D AE1 T - S AH0 N Z +DATSUN'S(2) D AA1 T - S AH0 N Z +DATSUN(2) D AA1 T - S AH0 N +DATTILIO D AA0 - T IY1 - L IY0 - OW0 +DATTILO D AA0 - T IY1 - L OW0 +DATUK D AA1 - T UW2 K +DATUM D AE1 - T AH0 M +DATUM(2) D EY1 - T AH0 M +DATURA D AH0 - T UH1 - R AH0 +DATZ D AE1 T S +DAU D OW1 +DAUB D AO1 B +DAUBE D AO1 B +DAUBED D AO1 B D +DAUBENSPECK D AW1 - B IH0 N - S P IH0 K +DAUBER D AW1 - B ER0 +DAUBERT D AW1 - B ER0 T +DAUCH D AW1 CH +DAUDELIN D OW1 - D IH0 - L AE0 N +DAUENHAUER D AW1 - AH0 N - HH AW0 - ER0 +DAUER D AW1 - ER0 +DAUFUSKIE D OW1 - F AH2 S - K IY0 +DAUGHDRILL D AO1 - D R IH0 L +DAUGHENBAUGH D AO0 - EH1 N - B AO0 +DAUGHERTY D AA1 - K ER0 - T IY0 +DAUGHETY D AO1 - IH0 - T IY0 +DAUGHNEY D AO1 - N IY0 +DAUGHTER D AO1 - T ER0 +DAUGHTER'S D AO1 - T ER0 Z +DAUGHTERS D AO1 - T ER0 Z +DAUGHTERS' D AO1 - T ER0 Z +DAUGHTERY D AO1 - T ER0 - IY0 +DAUGHTON D AO1 - T AH0 N +DAUGHTREY D AO1 - T R IY0 +DAUGHTRIDGE D AO1 - T R IH0 JH +DAUGHTRY D AO1 - T R IY0 +DAUL D AO1 L +DAULT D AO1 L T +DAULTON D AO1 L - T AH0 N +DAUM D AO1 M +DAUN D AO1 N +DAUNT D AO1 N T +DAUNTED D AO1 N - T IH0 D +DAUNTING D AO1 N - T IH0 NG +DAUPHIN D AW1 - F IH0 N +DAUPHINAIS D OW1 - F IH0 - N EY0 +DAUPHINEE D AO0 - F IH0 - N IY1 +DAURIA D AO1 - R IY0 - AH0 +DAUS D AO1 Z +DAUSTER D AW1 - S T ER0 +DAUTERIVE D OW1 - T ER0 - IH0 V +DAUZAT D AW1 - Z AH0 T +DAVALOS D AA0 - V AA1 - L OW0 Z +DAVANZO D AH0 - V AE1 N - Z OW0 +DAVAO D AH0 - V OW1 +DAVAO(2) D EY1 - V OW0 +DAVAULT D AH0 - V OW1 +DAVCO D AE1 V - K OW0 +DAVE D EY1 V +DAVE'S D EY1 V Z +DAVEE D AE1 - V IY0 +DAVENPORT D AE1 - V AH0 N - P AO2 R T +DAVENPORT'S D AE1 - V AH0 N - P AO2 R T S +DAVERN D AE1 - V ER0 N +DAVERSA D AA0 - V EH1 R - S AH0 +DAVES D EY1 V Z +DAVEY D EY1 - V IY0 +DAVI D AA1 - V IY0 +DAVIA D AA1 - V IY0 - AH0 +DAVID D EY1 - V IH0 D +DAVID'S D EY1 - V IH0 D Z +DAVIDA D AA0 - V IY1 - D AH0 +DAVIDE D AH2 - V IY1 - D EY2 +DAVIDGE D AE1 - V IH0 JH +DAVIDIAN D AH0 - V IH1 - D IY0 - AH0 N +DAVIDIAN'S D AH0 - V IH1 - D IY0 - AH0 N Z +DAVIDIANS D AH0 - V IH1 - D IY0 - AH0 N Z +DAVIDOFF D EY1 - V IH0 D - AO0 F +DAVIDOW D AE1 - V IH0 - D OW0 +DAVIDS D EY1 - V IH0 D Z +DAVIDSON D EY1 - V IH0 D - S AH0 N +DAVIDSON'S D EY1 - V IH0 D - S AH0 N Z +DAVIE D EY1 - V IY0 +DAVIES D EY1 - V IY0 Z +DAVIGNON D AA0 - V IY0 G - N AO1 N +DAVILA D AH0 - V IH1 - L AH0 +DAVILLA D AH0 - V IH1 - L AH0 +DAVIN D AE1 - V IH0 N +DAVINA D AA0 - V IY1 - N AH0 +DAVINO D AA0 - V IY1 - N OW0 +DAVIO'S D AE1 - V IY0 - OW0 Z +DAVIS D EY1 - V AH0 S +DAVIS' D EY1 - V AH0 S +DAVIS'(2) D EY1 - V AH0 - S AH0 Z +DAVIS'S D EY1 - V AH0 - S AH0 Z +DAVIS'S(2) D EY1 - V IH0 - S IH0 Z +DAVIS(2) D EY1 - V IH0 S +DAVISON D EY1 - V IH0 - S AH0 N +DAVISSON D AE1 - V IH0 - S AH0 N +DAVITT D AH0 - V IH1 T +DAVLIN D AE1 V - L IH0 N +DAVOLI D AA0 - V OW1 - L IY0 +DAVOS D AA1 - V OW0 S +DAVOX D AE1 - V AA0 K S +DAVY D EY1 - V IY0 +DAVYDOV D EY1 - V IH0 - D AO2 V +DAW D AO1 +DAWDLE D AO1 - D AH0 L +DAWDLING D AO1 D - L IH0 NG +DAWDY D AO1 - D IY0 +DAWE D AO1 +DAWES D AO1 Z +DAWIT D AE1 - W IH0 T +DAWKINS D AO1 - K IH0 N Z +DAWLEY D AO1 - L IY0 +DAWN D AO1 N +DAWN'S D AO1 N Z +DAWNED D AO1 N D +DAWNING D AO1 - N IH0 NG +DAWNS D AO1 N Z +DAWS D AO1 Z +DAWSEY D AO1 - S IY0 +DAWSON D AO1 - S AH0 N +DAWSON'S D AO1 - S AH0 N Z +DAX D AE1 K S +DAX' D AE1 K S +DAX'S D AE1 K - S IH0 Z +DAXOR D AE1 K - S ER0 +DAY D EY1 +DAY'S D EY1 Z +DAYA D AY1 - AH0 +DAYA'S D AY1 - AH0 Z +DAYAN D EY1 - AH0 N +DAYBREAK D EY1 - B R EY2 K +DAYCARE D EY1 - K EH2 R +DAYCO D EY1 - K OW0 +DAYDREAM D EY1 - D R IY2 M +DAYDREAMED D EY1 - D R IY2 M D +DAYDREAMING D EY1 - D R IY2 - M IH0 NG +DAYE D EY1 +DAYHOFF D EY1 - HH AO0 F +DAYHUFF D EY1 - HH AH2 F +DAYLE D EY1 L +DAYLEY D EY1 - L IY0 +DAYLIGHT D EY1 - L AY2 T +DAYLIGHTS D EY1 - L AY2 T S +DAYLONG D EY1 - L AO2 NG +DAYNARD D EY1 - N ER0 D +DAYNE D EY1 N +DAYS D EY1 Z +DAYS' D EY1 Z +DAYTIME D EY1 - T AY2 M +DAYTIMES D EY1 - T AY2 M Z +DAYTON D EY1 - T AH0 N +DAYTON'S D EY1 - T AH0 N Z +DAYTONA D EY0 - T OW1 - N AH0 +DAYTOP D EY1 - T AA2 P +DAYWALT D EY1 - W AH0 L T +DAZE D EY1 Z +DAZED D EY1 Z D +DAZEY D EY1 - Z IY0 +DAZS D AA1 S +DAZZLE D AE1 - Z AH0 L +DAZZLED D AE1 - Z AH0 L D +DAZZLING D AE1 - Z AH0 L - IH0 NG +DAZZLING(2) D AE1 Z - L IH0 NG +DAZZO D AE1 - Z OW0 +DBASE D IY1 - B EY2 S +DDT D IY2 - D IY2 - T IY1 +DE D IY1 +DE(2) D EY1 +DE(3) D AH0 +DE-EXCITE D IY1 - IH0 K - S AY1 T +DE-EXCITES D IY1 - IH0 K - S AY1 T S +DEA D IY1 +DEACON D IY1 - K AH0 N +DEACONESS D IY1 - K AH0 - N AH0 S +DEACONS D IY1 - K AH0 N Z +DEACTIVATE D IY2 - AE1 K - T IH0 - V EY2 T +DEACTIVATED D IY2 - AE1 K - T IH0 - V EY2 - T IH0 D +DEAD D EH1 D +DEADBEAT D EH1 D - B IY2 T +DEADBEATS D EH1 D - B IY2 T S +DEADBOLT D EH1 D - B OW2 L T +DEADEN D EH1 - D AH0 N +DEADENING D EH1 - D AH0 N - IH0 NG +DEADENING(2) D EH1 D - N IH0 NG +DEADER D EH1 - D ER0 +DEADHEAD D EH1 D - HH EH2 D +DEADHEADS D EH1 D - HH EH2 D Z +DEADLIER D EH1 D - L IY0 - ER0 +DEADLIEST D EH1 D - L IY0 - AH0 S T +DEADLINE D EH1 D - L AY2 N +DEADLINES D EH1 D - L AY2 N Z +DEADLINESS D EH1 D - L IY0 - N AH0 S +DEADLOCK D EH1 D - L AA2 K +DEADLOCKED D EH1 D - L AA2 K T +DEADLOCKS D EH1 D - L AA2 K S +DEADLY D EH1 D - L IY0 +DEADPAN D EH1 D - P AE2 N +DEADWEIGHT D EH1 D - W EY2 T +DEADWOOD D EH1 D - W UH2 D +DEADWYLER D EH1 D - W AY2 - L ER0 +DEADY D EH1 - D IY0 +DEAF D EH1 F +DEAFEN D EH1 - F AH0 N +DEAFENING D EH1 - F AH0 N - IH0 NG +DEAFENING(2) D EH1 F - N IH0 NG +DEAFNESS D EH1 F - N AH0 S +DEAHL D IY1 L +DEAK D IY1 K +DEAK'S D IY1 K S +DEAKIN D IY1 - K IH0 N +DEAKINS D IY1 - K IH0 N Z +DEAL D IY1 L +DEAL'S D IY1 L Z +DEALBA D IY2 - AE1 L - B AH0 +DEALE D IY1 L +DEALER D IY1 - L ER0 +DEALER'S D IY1 - L ER0 Z +DEALERLINE D IY1 - L ER0 - L AY2 N +DEALERS D IY1 - L ER0 Z +DEALERS' D IY1 - L ER0 Z +DEALERSHIP D IY1 - L ER0 - SH IH2 P +DEALERSHIP'S D IY1 - L ER0 - SH IH2 P S +DEALERSHIPS D IY1 - L ER0 - SH IH2 P S +DEALEY D IY1 - L IY0 +DEALFISH D IY1 L - F IH2 SH +DEALING D IY1 - L IH0 NG +DEALINGS D IY1 - L IH0 NG Z +DEALMAKER D IY1 L - M EY2 - K ER0 +DEALMAKERS D IY1 L - M EY2 - K ER0 Z +DEALMAKING D IY1 L - M EY2 - K IH0 NG +DEALMEIDA D AH0 L - M IY1 - D AH0 +DEALS D IY1 L Z +DEALT D EH1 L T +DEALY D IY1 - L IY0 +DEAM D IY1 M +DEAMER D IY1 - M ER0 +DEAN D IY1 N +DEAN'S D IY1 N Z +DEANA D IY2 - 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T R IH0 K +DEITRICK D AY1 - T R IH0 K +DEITSCH D AY1 CH +DEITY D IY1 - AH0 - T IY0 +DEITZ D IY1 T S +DEJA D IY1 - JH AH0 +DEJA(2) D EY1 - ZH AA2 +DEJAGER D EH1 - JH EY0 - G ER0 +DEJARNETT D IH0 - JH AA1 R - N IH0 T +DEJARNETTE D EH1 - ZH AA0 R - N EH0 T +DEJEAN D IH0 - ZH IY1 N +DEJECT D IH0 - JH EH1 K T +DEJECTED D IH0 - JH EH1 K - T IH0 D +DEJESUS D IH0 - JH IY1 - Z AH0 S +DEJOHN D AH0 - JH AA1 N +DEJONG D AH0 - JH AO1 NG +DEJONGE D AH0 - JH AO1 NG +DEJONGH D AH0 - JH AO1 NG +DEJOSEPH D AH0 - JH OW1 - S AH0 F +DEJOY D AH0 - JH OY1 +DEJULIO D AH0 - JH UW1 - L IY0 - OW0 +DEKALB D IH0 - K AE1 L B +DEKAY D AH0 - K EY1 +DEKEYSER D AH0 - K AY1 - Z ER0 +DEKKER D EH1 - K ER0 +DEKLE D EH1 - K AH0 L +DEKLERK D AH0 K - L ER1 K +DEKLERK'S D AH0 K - L ER1 K S +DEKOM D EH1 - K AH0 M +DEKONING D EH1 - K AH0 - N IH0 NG +DEKROON D EH2 - K R UW1 N +DEKUYPER D IH0 - K AY1 - P ER0 +DEL D EH1 L +DEL-CAMPOS D EH1 L - K AE1 M - P OW0 Z +DELA D EH1 - L AH0 +DELACERDA D EH0 - L AA0 - CH EH1 R - D AH0 +DELACRUZ D EY0 - 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L AA0 - R IY1 - V AH0 +DELAROSA D EH0 - L AA0 - R OW1 - S AH0 +DELASHMIT D EH1 - L AH0 SH - M IH0 T +DELASHMUTT D EH1 - L AH0 SH - M AH0 T +DELASKI D AH0 - L AE1 S - K IY0 +DELATORRE D EH0 - L AA0 - T AO1 - R IY0 +DELATTE D IH0 - L AE1 T +DELAUDER D EH1 - L AW0 - D ER0 +DELAUGHTER D EH1 - L AO0 - T ER0 +DELAUNE D EH1 - L AO0 N +DELAURA D EH0 - L AO1 - R AH0 +DELAUREL D AH0 - L AA1 - R AH0 L +DELAURENTIIS D IY0 - L AO0 - R EH1 N - T IY2 Z +DELAURENTIS D EY0 - L AW0 - R EY1 N - T IH0 S +DELAUTER D EH1 L - AW0 - T ER0 +DELAVAL D EH1 - L AH0 - V AE0 L +DELAVAN D EH1 - L AH0 - V AH0 N +DELAVEGA D EY0 - L AA0 - V EY1 - G AH0 +DELAWARE D EH1 - L AH0 - W EH2 R +DELAWARE'S D EH1 - L AH0 - W EH2 R Z +DELAWARIAN D EH1 - L AH0 W - EH2 - R IY0 - IH0 N +DELAWARIANS D EH1 - L AH0 W - EH2 - R IY0 - IH0 N Z +DELAWDER D EH1 - L AO0 - D ER0 +DELAY D IH0 - L EY1 +DELAYED D IH0 - L EY1 D +DELAYING D IH0 - L EY1 - IH0 NG +DELAYS D IH0 - L EY1 Z +DELBARCO D EH0 L - B AA1 R - K OW0 +DELBARCO'S D EH0 L - B AA1 R - 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L AH0 - G EY2 - T IH0 NG +DELEGATION D EH2 - L AH0 - G EY1 - SH AH0 N +DELEGATION'S D EH2 - L AH0 - G EY1 - SH AH0 N Z +DELEGATIONS D EH2 - L AH0 - G EY1 - SH AH0 N Z +DELEHANTY D EH1 - L IH0 - HH AH0 N - T IY0 +DELELLIS D EH1 - L IH0 - L IH0 S +DELELLIS(2) D IH0 - L EH1 - L IH0 S +DELEO D EH1 - L IY0 - OW0 +DELEON D EH1 - L IY0 - AH0 N +DELEONARDIS D EH1 - L IY0 - AH0 - N AA0 R - D IH0 S +DELETE D IH0 - L IY1 T +DELETED D IH0 - L IY1 - T AH0 D +DELETERIOUS D EH2 - L AH0 - T IH1 - R IY0 - AH0 S +DELETING D IH0 - L IY1 - T IH0 NG +DELETION D IH0 - L IY1 - SH AH0 N +DELETIONS D IH0 - L IY1 - SH AH0 N Z +DELFAVERO D EH0 L - F AA0 - V EH1 - R OW0 +DELFIN D EH1 L - F IH0 N +DELFINA D EH2 L - F IY1 - N AH0 +DELFINE D EH0 L - F IY1 - N IY0 +DELFINO D EH2 L - F IY1 - N OW0 +DELFOSSE D EH1 L - F AH0 S +DELFS D EH1 L F S +DELFT D EH1 L F T +DELFTWARE D EH1 L F T - W EH2 R +DELGADILLO D EH0 L - G AA0 - D IH1 - L OW0 +DELGADO D EH0 L - G AA1 - D OW0 +DELGAUDIO D EH0 L - G AO1 - D IY0 - OW0 +DELGIORNO D EH0 L - 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EY2 - T IH0 V +DELIBERATIVE(2) D IH0 - L IH1 - B R AH0 - T IH0 V +DELICACIES D EH1 - L IH0 - K AH0 - S IY0 Z +DELICACY D EH1 - L AH0 - K AH0 - S IY0 +DELICACY(2) D EH1 - L IH0 - K AH0 - S IY0 +DELICATE D EH1 - L AH0 - K AH0 T +DELICATELY D EH1 - L AH0 - K AH0 T - L IY0 +DELICATESSEN D EH2 - L IH0 - K AH0 - T EH1 - S AH0 N +DELICATESSENS D EH2 - L IH0 - K AH0 - T EH1 - S AH0 N Z +DELICH D EH1 - L IH0 K +DELICIA D EH0 - L IY1 - CH AH0 +DELICIOUS D IH0 - L IH1 - SH AH0 S +DELICIOUSLY D IH0 - L IH1 - SH AH0 SH - L IY0 +DELIGHT D IH0 - L AY1 T +DELIGHTED D IH0 - L AY1 - T AH0 D +DELIGHTED(2) D IH0 - L AY1 - T IH0 D +DELIGHTFUL D IH0 - L AY1 T - F AH0 L +DELIGHTFULLY D IH0 - L AY1 T - F AH0 - L IY0 +DELIGHTING D IH0 - L AY1 - T IH0 NG +DELIGHTS D IH0 - L AY1 T S +DELILA D EH0 - L IY1 - L AH0 +DELILAH D AH0 - L AY1 - L AH0 +DELILAH(2) D IH0 - L AY1 - L AH0 +DELILLO D AH0 - L IH1 - L OW0 +DELIMA D EH0 - L IY1 - M AH0 +DELINE D EH0 - L IY1 - N IY0 +DELINEATE D IH0 - L IH1 - N IY0 - EY2 T +DELINEATED D IH0 - 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L IH1 - V ER0 - ER0 +DELIVERERS D IH0 - L IH1 - V ER0 - ER0 Z +DELIVERIES D IH0 - L IH1 - V ER0 - IY0 Z +DELIVERIES(2) D IH0 - L IH1 - V R IY0 Z +DELIVERING D IH0 - L IH1 - V ER0 - IH0 NG +DELIVERS D IH0 - L IH1 - V ER0 Z +DELIVERY D IH0 - L IH1 - V ER0 - IY0 +DELK D EH1 L K +DELKER D EH1 L - K ER0 +DELL D EH1 L +DELL'AQUILA D EH1 - L AH0 - K W IY1 - L AH0 +DELL'S D EH1 L Z +DELLA D EH1 - L AH0 +DELLAERT D EH1 - L AA0 R T +DELLAERT(2) D EH1 - L ER0 T +DELLAPENNA D EH1 - L AH0 - P EH2 - N AH0 +DELLAQUILA D EY0 - L AA0 K - W IY1 - L AH0 +DELLAROCCO D EH1 - L ER0 - OW0 - K OW0 +DELLAVALLE D EH1 - L AH0 - V AA0 - L IY0 +DELLAVECCHIA D EH1 - L AH0 - V EH2 - K IY0 - AH0 +DELLE D EH1 L +DELLER D EH1 - L ER0 +DELLIGATTI D EH0 - L IY0 - G AA1 - T IY0 +DELLING D EH1 - L IH0 NG +DELLINGER D EH1 - L IH0 - NG ER0 +DELLIS D EH1 - L IH0 S +DELLOLIO D EH0 - L OW1 - L IY0 - OW0 +DELLUMS D EH1 - L AH0 M Z +DELMA D EH1 L - M AH0 +DELMAN D EH1 L - M AH0 N +DELMAR D EH1 L - M ER0 +DELMARVA D EH2 L - M AA1 R - V AH0 +DELMAS D EH1 L - M AH0 Z +DELMASTRO D EH2 L - M AE1 - S T R OW0 +DELMED D EH1 L - M EH2 D +DELMED'S D EH1 L - M EH2 D Z +DELMER D EH1 L - M ER0 +DELMONACO D EH0 L - M OW0 - N AA1 - K OW0 +DELMONICO D EH0 L - M AA0 - N IY1 - K OW0 +DELMONT D EY1 L - M OW0 N T +DELMONTE D EH0 L - M AA1 N - T IY0 +DELMORE D EH1 L - M AO0 R +DELNEGRO D EH2 L - N EH1 - G R OW0 +DELNERO D EH0 L - N EH1 - R OW0 +DELO D EH1 - L OW0 +DELOACH D EH1 - L OW0 CH +DELOATCH D EH1 - L OW0 CH +DELOITTE D AH0 - L OY1 T +DELONEY D EH1 - L AH0 - N IY0 +DELONG D AH0 - L AO1 NG +DELORA D EH0 - L AO1 - R AH0 +DELORE D AH0 - L AO1 R +DELORE'S D AH0 - L AO1 R Z +DELORE'S(2) D AH0 - L AO1 - R IY0 Z +DELORE(2) D AH0 - L AO1 - R IY0 +DELOREAN D AH0 - L AO1 - R IY0 - AH0 N +DELORENZO D EH0 - L AO0 - R EH1 N - Z OW0 +DELORENZO(2) D EY2 - L AO0 - R EH1 N - Z OW0 +DELORES D AH0 - L AO1 - R IH0 S +DELOREY D EH1 - L ER0 - IY0 +DELORIA D EH0 - L AO1 - R IY0 - AH0 +DELORIS D EH1 - L ER0 - IH0 S +DELORME D EH0 - L AO1 R - M IY0 +DELORS D AH0 - L AO1 R Z +DELOSH D EH1 - L AH0 SH +DELOSREYES D IH0 - L AA1 - S ER0 - AY0 Z +DELOSREYES(2) D EH0 - L OW0 - S R EY1 Z +DELOSREYES(3) D EH0 - L OW0 - S R EY1 - AH0 Z +DELOSSANTOS D EY0 - L OW0 - S AA1 N - T OW0 Z +DELOUIS D EH2 - L UW0 - IY1 Z +DELOZIER D EH1 - L AH0 - Z IY0 - ER0 +DELP D EH1 L P +DELPH D EH1 L F +DELPHAX D EH1 L - F AE0 K S +DELPHI D EH1 L - F AY0 +DELPHIA D EH1 L - F IY0 - AH0 +DELPHIC D EH1 L - F IH0 K +DELPHINA D EH0 L - F IY1 - N AH0 +DELPHINE D EH0 L - F IY1 - N IY0 +DELPINO D EH2 L - P IY1 - N OW0 +DELPIZZO D EH0 L - P IY1 - Z OW0 +DELPONTE D EH0 L - P OW1 N - T IY0 +DELPOZO D EH2 L - P OW1 - Z OW0 +DELPRETE D EH1 L - P R IY0 T +DELPRIORE D EH0 L - P R IY0 - AO1 - R IY0 +DELRAY D EH2 L - R EY1 +DELRE D EH1 L R +DELREAL D EH1 - L R AH0 L +DELRINA D EH2 L - R IY1 - N AH0 +DELRINA'S D EH2 L - R IY1 - N AH0 Z +DELRIO D EH1 L - R IY0 - OW0 +DELROSARIO D EH0 L - R OW0 - S AA1 - R IY0 - OW0 +DELROSSI D EH0 L - R AA1 - S IY0 +DELROSSO D EH0 L - R OW1 - S OW0 +DELSANTO D EH0 L - 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SH AH0 N Z +DEMARCHE D IH0 - M AA1 R CH +DEMARCHE(2) D IY0 - M AA1 R CH +DEMARCHI D IH0 - M AA1 R - K IY0 +DEMARCO D IH0 - M AA1 R - K OW0 +DEMARCUS D EH1 - M AA0 R - K IH0 S +DEMAREE D EH0 - M ER0 - IY1 +DEMAREST D EY0 - M AA0 - R EY1 - IH0 S T +DEMAREST(2) D EH1 - M ER0 - IH0 S T +DEMARIA D IH0 - M AA1 - R IY0 - AH0 +DEMARINIS D EH1 - M ER0 - IH0 - N IH0 S +DEMARINO D IH0 - M AA0 - R IY1 - N OW0 +DEMARIO D IH0 - M AA1 - R IY0 - OW0 +DEMARIS D EH1 - M ER0 - IH0 S +DEMARK D AH0 - M AA1 R K +DEMARS D EH1 - M ER0 Z +DEMARSH D EH1 - M AA0 R SH +DEMARTIN D IH0 - M AA1 R - T IH0 N +DEMARTINI D IH0 - M AA0 R - T IY1 - N IY0 +DEMARTINO D IH0 - M AA0 R - T IY1 - N OW0 +DEMARY D EH1 - M EH0 - R IY0 +DEMARZO D IH0 - M AA1 R - Z OW0 +DEMAS D IY1 - M AH0 S +DEMASI D IH0 - M AA1 - S IY0 +DEMASTERS D IY1 - M AE0 - S T ER0 Z +DEMATTEIS D EH1 - M AH0 - T AY0 Z +DEMATTEO D IH0 - M AA1 - T IY0 - OW0 +DEMATTIA D IH0 - M AA1 - SH AH0 +DEMAURO D IH0 - M AO1 - R OW0 +DEMAY D EH1 - M EY0 +DEMAYO D EY0 - M EY1 - OW0 +DEMBECK D EH1 M - B EH2 K +DEMBINSKI D IH0 M - B IH1 N - S K IY0 +DEMBOWSKI D IH0 M - B AO1 F S - K IY0 +DEMBSKI D EH1 M S - K IY0 +DEMBY D EH1 M - B IY0 +DEMCHAK D EH1 M - CH AH0 K +DEMEAN D IH0 - M IY1 N +DEMEANED D IH0 - M IY1 N D +DEMEANING D IH0 - M IY1 - N IH0 NG +DEMEANOR D IH0 - M IY1 - N ER0 +DEMEANS D IH0 - M IY1 N Z +DEMEL D EH1 - M AH0 L +DEMELLO D IH0 - M EH1 - L OW0 +DEMELO D IH0 - M EH1 - L OW0 +DEMENT D AH0 - M EH1 N T +DEMENTED D IH0 - M EH1 N - T IH0 D +DEMENTIA D IH0 - M EH1 N - SH IY0 - AH0 +DEMEO D IY1 - M IY0 - OW0 +DEMEREE D EH1 - M ER0 - IY0 +DEMERGER D IY0 - M ER1 - JH ER0 +DEMERIST D IH0 - M ER1 - IH0 S T +DEMERIST'S D IH0 - M ER1 - IH0 S T S +DEMERIST'S(2) D IH0 - M ER1 - IH0 S S +DEMERIST'S(3) D IH0 - M ER1 - IH0 S +DEMERIST(2) D EH1 - M ER0 - IH0 S T +DEMERIT D IY0 - M EH1 - R AH0 T +DEMERITS D IY0 - M EH1 - R AH0 T S +DEMERITT D EH1 - M ER0 - IH0 T +DEMERS D IY1 - M ER0 Z +DEMERY D IH0 - M ER1 - IY0 +DEMETER D IH0 - M IY1 - T ER0 +DEMETRE D EH0 - M IY1 - 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M IH1 SH +DEMISE D IH0 - M AY1 Z +DEMISH D EH1 - M IH0 SH +DEMJANJUK D EH0 - M Y AA1 - N Y UW0 K +DEMJANJUK'S D EH0 - M Y AA1 - N Y UW0 K S +DEMJANJUK'S(2) D EH0 - M Y AE1 - N Y UW0 K S +DEMJANJUK(2) D EH0 - M Y AE1 - N Y UW0 K +DEMKO D EH1 M - K OW0 +DEMLER D EH1 M - L ER0 +DEMMA D IY1 - M AH0 +DEMME D EH1 M +DEMMER D EH1 - M ER0 +DEMMING D EH1 - M IH0 NG +DEMMON D EH1 - M AH0 N +DEMMONS D EH1 - M AH0 N Z +DEMO D EH1 - M OW0 +DEMOBILIZATION D IY0 - M OW2 - B AH0 - L AY0 - Z EY1 - SH AH0 N +DEMOBILIZATION(2) D IY0 - M OW2 - B AH0 - L AH0 - Z EY1 - SH AH0 N +DEMOBILIZE D IH0 - M OW1 - B AH0 - L AY2 Z +DEMOBILIZED D IH0 - M OW1 - B AH0 - L AY2 Z D +DEMOCRACIES D IH0 - M AA1 - K R AH0 - S IY0 Z +DEMOCRACY D IH0 - M AA1 - K R AH0 - S IY0 +DEMOCRACY'S D IH0 - M AA1 - K R AH0 - S IY0 Z +DEMOCRAT D EH1 - M AH0 - K R AE2 T +DEMOCRAT'S D EH1 - M AH0 - K R AE2 T S +DEMOCRATIC D EH2 - M AH0 - K R AE1 - T IH0 K +DEMOCRATIC'S D EH2 - M AH0 - K R AE1 - T IH0 K S +DEMOCRATICA D EH2 - M AH0 - K R AE1 - T IH0 - K AH0 +DEMOCRATICALLY D EH2 - M AH0 - K R AE1 - T IH0 K - L IY0 +DEMOCRATICS D EH2 - M AH0 - K R AE1 - T IH0 K S +DEMOCRATIZATION D IH0 - M AA2 - K R AH0 - T AH0 - Z EY1 - SH AH0 N +DEMOCRATIZE D IH0 - M AA1 - K R AH0 - T AY2 Z +DEMOCRATIZED D IH0 - M AA1 - K R AH0 - T AY2 Z D +DEMOCRATIZING D IH0 - M AA1 - K R AH0 - T AY2 - Z IH0 NG +DEMOCRATS D EH1 - M AH0 - K R AE2 T S +DEMOCRATS' D EH1 - M AH0 - K R AE2 T S +DEMODULATE D IY2 - M AA2 - JH AH0 - L EY1 T +DEMODULATION D IY2 - M AA2 - JH AH0 - L EY1 - SH AH0 N +DEMOGRAPHER D IH0 - M AA1 - G R AH0 - F ER0 +DEMOGRAPHERS D IH0 - M AA1 - G R AH0 - F ER0 Z +DEMOGRAPHIC D EH2 - M AH0 - G R AE1 - F IH0 K +DEMOGRAPHICALLY D EH2 - M AH0 - G R AE1 - F IH0 K - L IY0 +DEMOGRAPHICS D EH2 - M AH0 - G R AE1 - F IH0 K S +DEMOGRAPHY D IH0 - M AA1 - G R AH0 - F IY0 +DEMOLISH D IH0 - M AA1 - L IH0 SH +DEMOLISHED D IH0 - M AA1 - L IH0 SH T +DEMOLISHING D IH0 - M AA1 - L IH0 - SH IH0 NG +DEMOLITION D EH2 - M AH0 - L IH1 - SH AH0 N +DEMON D IY1 - M AH0 N +DEMOND D AH0 - M AA1 N D +DEMONIC D IH0 - M AA1 - N IH0 K +DEMONIZATION D IY2 - M AH0 - N AH0 - Z EY1 - SH AH0 N +DEMONIZE D IY1 - M AH0 - N AY2 Z +DEMONIZED D IY1 - M AH0 - N AY2 Z D +DEMONIZER D IY1 - M AH0 - N AY2 - Z ER0 +DEMONIZEZ D IY1 - M AH0 - N AY2 - Z IH0 Z +DEMONIZING D IY1 - M AH0 - N AY2 - Z IH0 NG +DEMONS D IY1 - M AH0 N Z +DEMONSTRABLE D EH1 - M AH0 N - S T R AH0 - B AH0 L +DEMONSTRABLY D IH0 - M AA1 N - S T R AH0 - B L IY0 +DEMONSTRATE D EH1 - M AH0 N - S T R EY2 T +DEMONSTRATED D EH1 - M AH0 N - S T R EY2 - T AH0 D +DEMONSTRATED(2) D EH1 - M AH0 N - S T R EY2 - T IH0 D +DEMONSTRATES D EH1 - M AH0 N - S T R EY2 T S +DEMONSTRATING D EH1 - M AH0 N - S T R EY2 - T IH0 NG +DEMONSTRATION D EH2 - M AH0 N - S T R EY1 - SH AH0 N +DEMONSTRATIONS D EH2 - M AH0 N - S T R EY1 - SH AH0 N Z +DEMONSTRATIVE D IH0 - M AA1 N - S T R AH0 - T IH0 V +DEMONSTRATOR D EH1 - M AH0 N - S T R EY2 - T ER0 +DEMONSTRATORS D EH1 - M AH0 N - S T R EY2 - T ER0 Z +DEMONT D EH1 - M AH0 N T +DEMONTE D AH0 - M AA1 N - T IY0 +DEMOPOULOS D AH0 - M AA1 - P AH0 - L IH0 S +DEMORALIZATION D IH0 - M AO2 - R AH0 - L IH0 - Z EY1 - SH AH0 N +DEMORALIZE D IH0 - M AO1 - R AH0 - L AY2 Z +DEMORALIZED D IH0 - M AO1 - R AH0 - L AY2 Z D +DEMORALIZING D IH0 - M AO1 - R AH0 - L AY2 - Z IH0 NG +DEMORE D EH1 - M AO0 R +DEMOREST D EY0 - M AO1 - R IH0 S T +DEMORY D IH0 - M ER1 - IY0 +DEMORY'S D IH0 - M ER1 - IY0 Z +DEMOS D EH1 - M OW2 Z +DEMOSS D AH0 - M AA1 S +DEMOTE D IH0 - M OW1 T +DEMOTED D IH0 - M OW1 - T IH0 D +DEMOTION D IH0 - M OW1 - SH AH0 N +DEMOTIONS D IH0 - M OW1 - SH AH0 N Z +DEMOTT D AH0 - M AA1 T +DEMOULIN D EH1 - M UW0 - L AE0 N +DEMOV D EH1 - M AA0 V +DEMPEWOLF D EH1 M - P Y UW0 - UH0 L F +DEMPS D EH1 M P S +DEMPSEY D EH1 M P - S IY0 +DEMPSTER D EH1 M P - S T ER0 +DEMSKI D EH1 M S - K IY0 +DEMSKY D EH1 M S - K IY0 +DEMUR D IH0 - M ER1 +DEMURE D IH0 - M Y UH1 R +DEMURELY D IH0 - M Y UH1 R - L IY0 +DEMURO D IH0 - M UH1 - R OW0 +DEMURRED D IH0 - M ER1 D +DEMURRING D IH0 - M ER1 - IH0 NG +DEMURS D IH0 - M ER1 Z +DEMUS D IY1 - M AH0 S +DEMUTH D IY1 - M AH0 TH +DEMYAN D EH1 - M Y AH0 N +DEMYSTIFY D IY0 - M IH1 - S T AH0 - F AY2 +DEN D EH1 N +DENA D IY1 - N AH0 +DENAPOLI D IH0 - N AA1 - P AH0 - L IY0 +DENARD D IH0 - N AA1 R D +DENARDO D IH0 - N AA1 R - D OW0 +DENARII D IH0 - N AE1 - R IY0 +DENARIUS D IH0 - N AE1 - R IY0 - AH0 S +DENARO D IH0 - N AA1 - R OW0 +DENATALE D IH0 - N AA0 - T AA1 - L IY0 +DENATIONALIZATION D IY2 - N AE2 - SH AH0 N - AH0 - L IH0 - Z EY1 - SH AH0 N +DENATIONALIZATIONS D IY0 - N AE2 - SH AH0 N - AH0 - L IH0 - Z EY1 - SH AH0 N Z +DENATIONALIZE D IH0 - N AE1 - SH AH0 N - AH0 - L AY2 Z +DENATIONALIZED D IH0 - N AE1 - SH AH0 N - AH0 - L AY2 Z D +DENATIONALIZING D IH0 - N AE1 - SH AH0 N - AH0 - L AY2 - Z IH0 NG +DENATURE D IH0 - N EY1 - CH ER0 +DENATURED D IH0 - N EY1 - CH ER0 D +DENAULT D IH0 - N OW1 +DENBO D IY1 N - B OW0 +DENBOER D EH1 N - B OW0 - ER0 +DENBOW D EH1 N - B OW0 +DENBY D EH1 N - B IY0 +DENDEN D EH1 N - D AH0 N +DENDINGER D IY1 N - D IH0 - NG ER0 +DENDRITIC D EH0 N - D R IH1 - T IH0 K +DENDROCHRONOLOGY D EH2 N - D R OW2 - K R AH0 - N AA1 - L AH0 - JH IY0 +DENDY D EH1 N - D IY0 +DENEAU D IH0 - N OW1 +DENEAULT D IH0 - N OW1 +DENEEN D IH0 - N IY1 N +DENEKE D EH1 - N IH0 K +DENENBERG D EH1 - N AH0 N - B ER0 G +DENES D IY1 N Z +DENEUVE D IH0 - N AH1 V +DENEUVE(2) D IY0 - N AH1 V +DENEVE D EH1 - N IH0 V +DENG D EH1 NG +DENG'S D EH1 NG Z +DENGEL D EH1 NG - G AH0 L +DENGLER D IH1 - NG AH0 - L ER0 +DENGLER(2) D IH1 NG - L ER0 +DENGUE D EH1 N G +DENHAM D EH1 - N AH0 M +DENHART D EH1 N - HH AA2 R T +DENHARTOG D EH1 N - HH AA0 R - T AH0 G +DENHERDER D EH1 N - HH ER2 - D ER0 +DENHOLM D EH1 N - HH OW2 L M +DENIABILITY D IH0 - N AY2 - AH0 - B IH1 - L IH0 - T IY0 +DENIAL D IH0 - N AY1 - AH0 L +DENIALS D IH0 - N AY1 - AH0 L Z +DENICE D IH0 - N IY1 S +DENICOLA D IH0 - N IY0 - K OW1 - L AH0 +DENIED D IH0 - N AY1 D +DENIES D IH0 - N AY1 Z +DENIGRATE D EH1 - N AH0 - G R EY2 T +DENIGRATED D EH1 - N IH0 - G R EY2 - T IH0 D +DENIGRATING D EH1 - N IH0 - G R EY2 - T IH0 NG +DENIGRIS D EH1 - N IH0 - G R IH0 S +DENIKE D EH1 - N IH0 K +DENIM D EH1 - N AH0 M +DENIO D IY1 - N IY0 - OW0 +DENIRO D IH0 - N IH1 - R OW0 +DENIRO'S D IH0 - N IH1 - R OW0 Z +DENIS D EH1 - N IH0 S +DENISE D IH0 - N IY1 S +DENISON D EH1 - N IH0 - S AH0 N +DENISON'S D EH1 - N IH0 - S AH0 N Z +DENISTON D EH1 - N IH0 - S T AA0 N +DENIZ D EY1 - N IY0 Z +DENIZEN D EH1 - N AH0 - Z AH0 N +DENIZENS D EH1 - N AH0 - Z AH0 N Z +DENK D EH1 NG K +DENKER D EH1 NG - K ER0 +DENKI D EH1 NG - K IY0 +DENKINS D EH1 NG - K IH0 N Z +DENKO D EH1 NG - K OW0 +DENKTAS D EH1 NG K - T AH0 S +DENLEA D EH1 N - L IY2 +DENLEY D EH1 N - L IY0 +DENLINGER D EH1 - N AH0 L - IH0 - NG ER0 +DENLINGER(2) D EH1 N - L IH0 - NG ER0 +DENLINGER(3) D EH1 N - L IH0 N - JH ER0 +DENMAN D EH1 N - M AH0 N +DENMARK D EH1 N - M AA2 R K +DENMARK'S D EH1 N - M AA2 R K S +DENMON D EH1 N - M AH0 N +DENN D EH1 N +DENNARD D IH0 - N AA1 R D +DENNE D EH1 N +DENNEHY D EH1 - N IH0 - HH IY0 +DENNEN D EH1 - N AH0 N +DENNER D EH1 - N ER0 +DENNETT D EH1 - N IH0 T +DENNEY D EH1 - N IY0 +DENNIE D EH1 - N IY0 +DENNIN D EH1 - N IH0 N +DENNING D EH1 - N IH0 NG +DENNINGER D EH1 - N IH0 - NG ER0 +DENNINGTON D EH1 - N IH0 NG - T AH0 N +DENNIS D EH1 - N IH0 S +DENNISON D EH1 - N IH0 - S AH0 N +DENNISTON D EH1 - N IH0 - S T AA0 N +DENNO D EH1 - N OW0 +DENNY D EH1 - N IY0 +DENNY'S D EH1 - N IY0 Z +DENO D IY1 - N OW0 +DENOBLE D EH1 - N OW0 - B AH0 L +DENOMINATE D IH0 - N AA1 - M AH0 - N EY2 T +DENOMINATED D IH0 - N AA1 - M AH0 - N EY2 - T IH0 D +DENOMINATION D IH0 - N AO2 - M AH0 - N EY1 - SH AH0 N +DENOMINATION'S D IH0 - N AO2 - M AH0 - N EY1 - SH AH0 N Z +DENOMINATIONAL D IH0 - N AO2 - M AH0 - N EY1 - SH AH0 - N AH0 L +DENOMINATIONS D IH0 - N AO2 - M AH0 - N EY1 - SH AH0 N Z +DENOMINATOR D IH0 - N AA1 - M AH0 - N EY2 - T ER0 +DENOMME D EH1 - N AH0 M +DENOSSE D IH0 - N OW1 S +DENOSSE(2) D IH0 - N AO1 - S IY0 +DENOTE D IH0 - N OW1 T +DENOTED D IH0 - N OW1 - T AH0 D +DENOTES D IH0 - N OW1 T S +DENOUEMENT D EY2 - N UW2 - M AA1 N +DENOUNCE D IH0 - N AW1 N S +DENOUNCED D IH0 - N AW1 N S T +DENOUNCES D IH0 - N AW1 N - S IH0 Z +DENOUNCING D IH0 - N AW1 N - S IH0 NG +DENOYER D EH1 - N OY0 - ER0 +DENS D EH1 N Z +DENSE D EH1 N S +DENSELY D EH1 N S - L IY0 +DENSER D EH1 N - S ER0 +DENSEST D EH1 N - S AH0 S T +DENSHIN D EH1 N - SH IH0 N +DENSITIES D EH1 N - S AH0 - T IY0 Z +DENSITOMETER D EH2 N - S AH0 - T AA1 - M AH0 - T ER0 +DENSITY D EH1 N - S AH0 - T IY0 +DENSITY(2) D EH1 N - S IH0 - T IY0 +DENSLEY D EH1 N S - L IY0 +DENSLOW D EH1 N - S L OW2 +DENSMORE D IY1 N S - M AO0 R +DENSMORE(2) D EH1 N - S M AO0 R +DENSON D EH1 N - S AH0 N +DENT D EH1 N T +DENTAL D EH1 N - T AH0 L +DENTAL(2) D EH1 - N AH0 L +DENTALS D EH1 N - T AH0 L Z +DENTALS(2) D EH1 - N AH0 L Z +DENTE D EH1 N T +DENTED D EH1 N - T IH0 D +DENTIN D EH1 N - T AH0 N +DENTINE D EH1 N - T IY0 N +DENTING D EH1 N - T IH0 NG +DENTINO D IH0 N - T IY1 - N OW0 +DENTIST D EH1 N - T AH0 S T +DENTIST'S D EH1 N - T IH0 S T S +DENTIST'S(2) D EH1 - N IH0 S S +DENTIST'S(3) D EH1 - N IH0 S +DENTIST(2) D EH1 N - T IH0 S T +DENTIST(3) D EH1 - N IH0 S T +DENTISTRY D EH1 N - T AH0 S - T R IY0 +DENTISTRY(2) D EH1 N - T IH0 S - T R IY0 +DENTISTRY(3) D EH1 - N IH0 - S T R IY0 +DENTISTS D EH1 N - T AH0 S T S +DENTISTS' D EH1 N - T IH0 S T S +DENTISTS'(2) D EH1 - N IH0 S T S +DENTISTS(2) D EH1 N - T IH0 S T S +DENTISTS(3) D EH1 - N IH0 S S +DENTISTS(4) D EH1 - N IH0 S +DENTITION D EH0 N - T IH1 - SH AH0 N +DENTLER D EH1 N T - L ER0 +DENTON D EH1 N - T AH0 N +DENTREMONT D EY0 N - T R EY1 - M AA0 N T +DENTS D EH1 N T S +DENTSU D EH1 N T - S UW0 +DENTTON D EH1 N - T AH0 N +DENTURE D EH1 N - CH ER0 +DENTURES D EH1 N - CH ER0 Z +DENTZER D EH1 N T - Z ER0 +DENUCCI D IH0 - N UW1 - CH IY0 +DENUCLEARIZATION D IY0 - N UW2 - K L IY0 - ER0 - AH0 - Z EY1 - SH AH0 N +DENUCLEARIZED D IH0 - N UW1 - K L IY0 - ER0 - AY2 Z D +DENUCLEARIZED(2) D IY0 - N UW1 - K L IY0 - ER0 - AY2 Z D +DENUDE D IH0 - N UW1 D +DENUDED D IH0 - N UW1 - D IH0 D +DENUDING D IH0 - N UW1 - D IH0 NG +DENUNCIATION D IH0 - N AH2 N - S IY0 - EY1 - SH AH0 N +DENUNCIATIONS D IH0 - N AH2 N - S IY0 - EY1 - SH AH0 N Z +DENUNZIO D AH0 - N AH1 N - Z IY0 - OW0 +DENVER D EH1 N - V ER0 +DENVER'S D EH1 N - V ER0 Z +DENWA D EH1 N - W AA2 +DENY D IH0 - N AY1 +DENYING D IH0 - N AY1 - IH0 NG +DENYS D EH1 - N IH0 S +DENYSE D EH1 - N AY0 S +DENZ D EH1 N Z +DENZEL D EH1 N - Z AH0 L +DENZER D EH1 N - Z ER0 +DENZIL D EH1 N - Z AH0 L +DENZLER D EH1 N Z - L ER0 +DEO D IY1 - OW0 +DEODORANT D IY0 - OW1 - D ER0 - AH0 N T +DEODORANTS D IY0 - OW1 - D ER0 - AH0 N T S +DEOLIVEIRA D IY2 - AA2 - L IH0 - V EY1 - R AH0 +DEON D IY1 - AA0 N +DEOXYRIBONUCLEIC D IY0 - AA2 K - S IY0 - R AY2 - B OW0 - N UW0 - K L EY1 - IH0 K +DEP D IH0 - P AA1 R T - M AH0 N T +DEP(2) D EH1 P +DEPACE D IH0 - P AA1 - CH IY0 +DEPALMA D IH0 - P AA1 L - M AH0 +DEPALMA'S D IH0 - P AA1 L - M AH0 Z +DEPALO D IH0 - P AA1 - L OW0 +DEPAOLA D IH0 - P AW1 - L AH0 +DEPAOLI D IH0 - P AW1 - L IY0 +DEPAOLIS D EH0 - P AW1 - L IH0 S +DEPAOLO D IH0 - P AW1 - L OW0 +DEPARDIEU D IY2 - P AA0 R - D Y AH1 +DEPARDIEU(2) D IY2 - P AA0 R - D UW1 +DEPART D IH0 - P AA1 R T +DEPARTED D IH0 - P AA1 R - T AH0 D +DEPARTED(2) D IH0 - P AA1 R - T IH0 D +DEPARTING D IH0 - P AA1 R - T IH0 NG +DEPARTMENT D IH0 - P AA1 R T - M AH0 N T +DEPARTMENT'S D IH0 - P AA1 R T - M AH0 N T S +DEPARTMENTAL D IH0 - P AA2 R T - M EH1 - N AH0 L +DEPARTMENTAL(2) D IH0 - P AA2 R T - M EH1 N - T AH0 L +DEPARTMENTALIZE D IH0 - P AA2 R T - M EH1 N - T AH0 - L AY2 Z +DEPARTMENTALIZE(2) D IH0 - P AA2 R T - M EH1 - N AH0 - L AY2 Z +DEPARTMENTALIZED D IH0 - P AA2 R T - M EH1 N - T AH0 - L AY2 Z D +DEPARTMENTALIZED(2) D IH0 - P AA2 R T - M EH1 - N AH0 - L AY2 Z D +DEPARTMENTS D IH0 - P AA1 R T - M AH0 N T S +DEPARTS D IH0 - P AA1 R T S +DEPARTURE D IH0 - P AA1 R - CH ER0 +DEPARTURES D IH0 - P AA1 R - CH ER0 Z +DEPASCALE D IH0 - P AA0 - S K AA1 - L IY0 +DEPASQUALE D IH0 - P AA0 S - K W AA1 - L IY0 +DEPASS D IH0 - P AE1 S +DEPAUL D IH0 - P AO1 L +DEPAULA D IH0 - P AO1 - L AH0 +DEPAULO D IH0 - P AO1 - L OW0 +DEPAUW D AH0 - P AW1 +DEPEND D IH0 - P EH1 N D +DEPENDABILITY D IH0 - P EH2 N - D AH0 - B IH1 - L IH0 - T IY0 +DEPENDABLE D IH0 - P EH1 N - D AH0 - B AH0 L +DEPENDED D IH0 - P EH1 N - D AH0 D +DEPENDED(2) D IH0 - P EH1 N - D IH0 D +DEPENDENCE D IH0 - P EH1 N - D AH0 N S +DEPENDENCIES D IH0 - P EH1 N - D AH0 N - S IY0 Z +DEPENDENCY D IH0 - P EH1 N - D AH0 N - S IY0 +DEPENDENT D IH0 - P EH1 N - D AH0 N T +DEPENDENTS D IH0 - P EH1 N - D AH0 N T S +DEPENDING D IH0 - P EH1 N - D IH0 NG +DEPENDS D IH0 - P EH1 N D Z +DEPERSONALIZE D IY0 - P ER1 - S AH0 N - AH0 - L AY2 Z +DEPERSONALIZE(2) D IY0 - P ER1 - S N AH0 - L AY2 Z +DEPETRO D IH0 - P EH1 - T R OW0 +DEPEW D AH0 - P Y UW1 +DEPHILLIPS D EH1 - F IH0 - L IH0 P S +DEPHILLIPS(2) D IH0 - F IH1 - L IH0 P S +DEPICT D IH0 - P IH1 K T +DEPICTED D IH0 - P IH1 K - T AH0 D +DEPICTED(2) D IH0 - P IH1 K - T IH0 D +DEPICTING D IH0 - P IH1 K - T IH0 NG +DEPICTION D IH0 - P IH1 K - SH AH0 N +DEPICTIONS D IH0 - P IH1 K - SH AH0 N Z +DEPICTS D IH0 - P IH1 K T S +DEPICTS(2) D IH0 - P IH1 K S +DEPIETRO D IH0 - P IY1 - T R OW0 +DEPILATORY D IH0 - P IH1 - L AH0 - T AO2 - R IY0 +DEPINA D IH0 - P IY1 - N AH0 +DEPINTO D IH0 - P IY1 N - T OW0 +DEPLETE D IH0 - P L IY1 T +DEPLETED D IH0 - P L IY1 - T IH0 D +DEPLETER D IH0 - P L IY1 - T ER0 +DEPLETERS D IH0 - P L IY1 - T ER0 Z +DEPLETES D IH0 - P L IY1 T S +DEPLETING D IH0 - P L IY1 - T IH0 NG +DEPLETION D IH0 - P L IY1 - SH AH0 N +DEPLORABLE D IH0 - P L AO1 - R AH0 - B AH0 L +DEPLORE D IH0 - P L AO1 R +DEPLORED D IH0 - P L AO1 R D +DEPLORES D IH0 - P L AO1 R Z +DEPLORING D IH0 - P L AO1 - R IH0 NG +DEPLOY D IH0 - P L OY1 +DEPLOYABLE D IH0 - P L OY1 - AH0 - B AH0 L +DEPLOYED D IH0 - P L OY1 D +DEPLOYING D IH0 - P L OY1 - IH0 NG +DEPLOYMENT D IH0 - P L OY1 - M AH0 N T +DEPLOYMENTS D IH0 - P L OY1 - M AH0 N T S +DEPLOYS D IH0 - P L OY1 Z +DEPNER D EH1 P - N ER0 +DEPO D IY1 - P OW0 +DEPO(2) D EH1 - P OW0 +DEPOLO D IH0 - P OW1 - L OW0 +DEPONTE D IH0 - P OW1 N - T IY0 +DEPOPULATE D IY0 - P AA1 - P Y AH0 - L EY2 T +DEPOPULATION D IH0 - P AA2 - P Y AH0 - L EY1 - SH AH0 +DEPOPULATION(2) D IY2 - P AA0 - P Y AH0 - L EY1 - SH AH0 +DEPORT D IH0 - P AO1 R T +DEPORTATION D IY2 - P AO0 R - T EY1 - SH AH0 N +DEPORTATIONS D IY2 - P AO0 R - T EY1 - SH AH0 N Z +DEPORTED D IH0 - P AO1 R - T AH0 D +DEPORTEE D IY2 - P AO0 R - T IY1 +DEPORTEES D IY2 - P AO0 R - T IY1 Z +DEPORTING D IH0 - P AO1 R - T IH0 NG +DEPORTMENT D AH0 - P AO1 R T - M AH0 N T +DEPOSE D IH0 - P OW1 Z +DEPOSED D IH0 - P OW1 Z D +DEPOSIT D AH0 - P AA1 - Z IH0 T +DEPOSIT(2) D IH0 - P AA1 - Z AH0 T +DEPOSITARY D AH0 - P AA1 - Z IH0 - T EH2 - R IY0 +DEPOSITARY(2) D IH0 - P AA1 - Z IH0 - T EH2 - R IY0 +DEPOSITED D AH0 - P AA1 - Z IH0 - T IH0 D +DEPOSITED(2) D IH0 - P AA1 - Z AH0 - T AH0 D +DEPOSITING D AH0 - P AA1 - Z IH0 - T IH0 NG +DEPOSITION D EH2 - P AH0 - Z IH1 - SH AH0 N +DEPOSITIONAL D EH2 - P AH0 - Z IH1 - SH AH0 - N AH0 L +DEPOSITIONS D EH2 - P AH0 - Z IH1 - SH AH0 N Z +DEPOSITOR D AH0 - P AA1 - Z IH0 - T ER0 +DEPOSITOR'S D AH0 - P AA1 - Z IH0 - T ER0 Z +DEPOSITORS D AH0 - P AA1 - Z IH0 - T ER0 Z +DEPOSITORS' D IH0 - P AA1 - Z IH0 - T ER0 Z +DEPOSITORY D IH0 - P AA1 - Z AH0 - T AO2 - R IY0 +DEPOSITS D AH0 - P AA1 - Z IH0 T S +DEPOSITS(2) D IH0 - P AA1 - Z AH0 T S +DEPOT D IY1 - P OW0 +DEPOT'S D IY1 - P OW0 Z +DEPOTS D IY1 - P OW0 Z +DEPOY D EH1 - P OY0 +DEPP D EH1 P +DEPPE D EH1 P +DEPPEN D EH1 - P AH0 N +DEPRAVATION D EH2 - P R AH0 - V EY1 - SH AH0 N +DEPRAVE D IY0 - P R EY1 V +DEPRAVED D IY0 - P R EY1 V D +DEPRAVITY D IH0 - P R AE1 - V AH0 - T IY0 +DEPRECATE D EH1 - P R AH0 - K EY2 T +DEPRECATING D EH1 - P R AH0 - K EY2 - T IH0 NG +DEPRECIABLE D IH0 - P R IH1 - SH AH0 - B AH0 L +DEPRECIATE D IH0 - P R IY1 - SH IY0 - EY2 T +DEPRECIATED D IH0 - P R IY1 - SH IY0 - EY2 - T IH0 D +DEPRECIATES D IH0 - P R IY1 - SH IY0 - EY2 T S +DEPRECIATING D IH0 - P R IY1 - SH IY0 - EY2 - T IH0 NG +DEPRECIATION D IH0 - P R IY2 - SH IY0 - EY1 - SH AH0 N +DEPRECIATIONS D IH0 - P R IY2 - SH IY0 - EY1 - SH AH0 N Z +DEPREDATION D EH2 - P R AH0 - D EY1 - SH AH0 N +DEPREDATIONS D EH2 - P R AH0 - D EY1 - SH AH0 N Z +DEPREE D IH0 - P R IY1 +DEPRENYL D EH1 - P R AH0 - N IH2 L +DEPRESS D IH0 - P R EH1 S +DEPRESSANT D IH0 - P R EH1 - S AH0 N T +DEPRESSANTS D IH0 - P R EH1 - S AH0 N T S +DEPRESSED D IH0 - P R EH1 S T +DEPRESSES D IH0 - P R EH1 - S AH0 Z +DEPRESSES(2) D IH0 - P R EH1 - S IH0 Z +DEPRESSING D IH0 - P R EH1 - S IH0 NG +DEPRESSINGLY D IH0 - P R EH1 - S IH0 NG - L IY0 +DEPRESSION D IH0 - P R EH1 - SH AH0 N +DEPRESSIONS D IH0 - P R EH1 - SH AH0 N Z +DEPRESSIVE D IH0 - P R EH1 - S IH0 V +DEPRESSURIZE D IH0 - P R EH1 - SH ER0 - AY2 Z +DEPRESSURIZED D IH0 - P R EH1 - SH ER0 - AY2 Z D +DEPREY D EH1 - P R IY0 +DEPREZ D EY0 - P R EH1 Z +DEPRIEST D EH1 - P ER0 - IY0 - IH0 S T +DEPRIEST(2) D IH0 - P R IY1 S T +DEPRIVATION D EH2 - P R AH0 - V EY1 - SH AH0 N +DEPRIVATIONS D EH2 - P R AH0 - V EY1 - SH AH0 N Z +DEPRIVE D IH0 - P R AY1 V +DEPRIVED D IH0 - P R AY1 V D +DEPRIVES D IH0 - P R AY1 V Z +DEPRIVING D IH0 - P R AY1 - V IH0 NG +DEPROGRAM D IY0 - P R OW1 - G R AE0 M +DEPROGRAMMING D IY0 - P R OW1 - G R AE0 - M IH0 NG +DEPTH D EH1 P TH +DEPTHS D EH1 P TH S +DEPTULA D IH0 P - T UW1 - L AH0 +DEPUE D AH0 - P Y UW1 +DEPUTIES D EH1 - P Y AH0 - T IY0 Z +DEPUTIES(2) D EH1 - P Y UW0 - T IY0 Z +DEPUTIZE D EH1 - P Y AH0 - T AY2 Z +DEPUTIZED D EH1 - P Y AH0 - T AY2 Z D +DEPUTY D EH1 - P Y AH0 - T IY0 +DEPUTY(2) D EH1 - P Y UW0 - T IY0 +DEPUY D IH0 - P W IY1 +DEQUEKER D IH0 - K W EH1 - K ER0 +DER D ER1 +DERAIL D IH0 - R EY1 L +DERAILED D IH0 - R EY1 L D +DERAILING D IH0 - R EY1 - L IH0 NG +DERAILMENT D IH0 - R EY1 L - M AH0 N T +DERAILMENTS D IH0 - R EY1 L - M AH0 N T S +DERAILS D IH0 - R EY1 L Z +DERAMO D IH0 - R AA1 - M OW0 +DERAMUS D EH1 - R AH0 - M IH0 S +DERANGE D IH0 - R EY1 N JH +DERANGED D IH0 - R EY1 N JH D +DERASMO D IH0 - R AA1 S - M OW0 +DERBY D ER1 - B IY0 +DERCHIN D ER1 - CH IH0 N +DERCOLE D IH0 R - K OW1 - L IY0 +DERDEN D ER1 - D AH0 N +DERDERIAN D ER0 - D IH1 - R IY0 - AH0 N +DERECKTOR D ER0 - EH1 K - T ER0 +DEREGT D ER0 - EH1 K T +DEREGULATE D IY0 - R EH1 - G Y AH0 - L EY0 T +DEREGULATED D IY0 - R EH1 - G Y AH0 - L EY0 - T IH0 D +DEREGULATING D IY0 - R EH1 - G Y AH0 - L EY2 - T IH0 NG +DEREGULATION D IY0 - 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R AY0 Z +DERISION D ER0 - IH1 - ZH AH0 N +DERISIVE D ER0 - IH1 - S IH0 V +DERISIVE(2) D ER0 - AY1 - S IH0 V +DERISIVELY D ER0 - IH1 - S IH0 V - L IY0 +DERISIVELY(2) D ER0 - AY1 - S IH0 V - L IY0 +DERISO D IH0 - R IY1 - S OW0 +DERIVATION D EH2 - R AH0 - V EY1 - SH AH0 N +DERIVATIVE D ER0 - IH1 - V AH0 - T IH0 V +DERIVATIVE(2) D ER0 - IH1 - V IH0 - T IH0 V +DERIVATIVES D ER0 - IH1 - V AH0 - T IH0 V Z +DERIVE D ER0 - AY1 V +DERIVED D ER0 - AY1 V D +DERIVES D ER0 - AY1 V Z +DERIVES(2) D IH0 - R AY1 V Z +DERIVING D ER0 - AY1 - V IH0 NG +DERK D ER1 K +DERKS D ER1 K S +DERKSEN D ER1 K - S AH0 N +DERLETH D ER1 - L IH0 TH +DERMA D ER1 - M AH0 +DERMAL D ER1 - M AH0 L +DERMAN D ER1 - M AH0 N +DERMATOLOGICAL D ER2 - M AH0 - T AH0 - L AA1 - JH IH0 - K AH0 L +DERMATOLOGIST D ER2 - M AH0 - T AA1 - L AH0 - JH IH0 S T +DERMATOLOGISTS D ER2 - M AH0 - T AA1 - L AH0 - JH IH0 S T S +DERMATOLOGISTS(2) D ER2 - M AH0 - T AA1 - L AH0 - JH IH0 S S +DERMATOLOGISTS(3) D ER2 - M AH0 - T AA1 - L AH0 - JH IH0 S +DERMATOLOGY D ER2 - 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T OW2 N +DIALYSIS D AY0 - AE1 - L AH0 - S AH0 S +DIALYSIS(2) D AY0 - AE1 - L IH0 - S IH0 S +DIAMAGNETIC D AY2 - AH0 - M AE0 G - N EH1 - T IH0 K +DIAMAGNETISM D AY2 - AH0 - M AE1 G - N IH0 - T IH2 - Z AH0 M +DIAMANDIS D AY2 - AH0 - M AE1 N - D IH0 S +DIAMANDIS(2) D IY2 - AH0 - M AE1 N - D IH0 S +DIAMANT D AY1 - AH0 - M AH0 N T +DIAMANTA D AY2 - AH0 - M AE1 N - T AH0 +DIAMANTE D AY2 - AH0 - M AA1 N - T IY0 +DIAMETER D AY0 - AE1 - M AH0 - T ER0 +DIAMETRICALLY D AY2 - AH0 - M EH1 - T R IH0 - K AH0 - L IY0 +DIAMETRICALLY(2) D AY2 - AH0 - M EH1 - T R IH0 K - L IY0 +DIAMOND D AY1 - M AH0 N D +DIAMOND'S D AY1 - M AH0 N D Z +DIAMONDS D AY1 - M AH0 N D Z +DIAN D AY1 - AH0 N +DIANA D AY0 - AE1 - N AH0 +DIANA'S D AY0 - AE1 - N AH0 Z +DIANE D AY0 - AE1 N +DIANE'S D AY0 - AE1 N Z +DIANETICS D AY2 - AH0 - N EH1 - T IH0 K S +DIANGELO D AY0 - AH0 NG - G EH1 - L OW0 +DIANNA D AY2 - AE1 - N AH0 +DIANNE D AY0 - AE1 N +DIANTHA D AY2 - AE1 N - TH AH0 +DIANTHE D AY0 - AE1 N - DH IY0 +DIANTHIA D AY2 - AE1 N - 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AH0 - T AA1 - N IH0 K +DIATRIBE D AY1 - AH0 - T R AY2 B +DIATRIBES D AY1 - AH0 - T R AY2 B Z +DIAZ D IY1 - AE2 Z +DIAZ(2) D IY1 - AA2 Z +DIAZ-CALDERON D IY1 - AE2 Z - K AE2 L - D ER0 - OW1 N +DIAZO D AY0 - AE1 - Z OW2 +DIBACCO D IH0 - B AA1 - K OW0 +DIBARI D IH0 - B AA1 - R IY0 +DIBARTOLO D IY2 - B AA0 R - T OW1 - L OW0 +DIBARTOLOMEO D IH0 - B AA0 R - T OW0 - L OW1 - M IY0 - OW0 +DIBATTISTA D IH0 - B AA0 - T IY1 - S T AH0 +DIBB D IH1 B +DIBBERN D IH1 - B ER0 N +DIBBLE D IH1 - B AH0 L +DIBBLED D IH1 - B AH0 L D +DIBELLA D IH0 - B EH1 - L AH0 +DIBELLO D IH0 - B EH1 - L OW0 +DIBENEDETTO D IH0 - B IH0 - N AH0 - D EH1 - T OW0 +DIBERNARDO D IH0 - B ER0 - N AA1 R - D OW0 +DIBERT D IH1 - B ER0 T +DIBIASE D IY2 - B IY0 - AA1 - S IY0 +DIBIASIO D IH0 - B IY0 - AA1 - S IY0 - OW0 +DIBLASI D IH0 - B L AA1 - S IY0 +DIBLASIO D IH0 - B L AA1 - S IY0 - OW0 +DIBLE D AY1 - B AH0 L +DIBOLL D IH1 - B AH0 L +DIBONA D IH0 - B OW1 - N AH0 +DIBRELL D IH1 - B R AH0 L +DIBS D IH1 B Z +DIBUONO D IH0 - B W OW1 - N OW0 +DIC D IH1 K +DICAMBA D IH0 - K AE1 M - B AH0 +DICAMILLO D IH0 - K AA0 - M IH1 - L OW0 +DICAPRIO D IH0 - K AE1 - P R IY0 - OW0 +DICARLO D IH0 - K AA1 R - L OW0 +DICE D AY1 S +DICECCO D IH0 - S EH1 - K OW0 +DICED D AY1 S T +DICELLO D IH0 - S EH1 - L OW0 +DICENSO D IH0 - S EH1 N - S OW0 +DICENZO D IH0 - S EH1 N - Z OW0 +DICEON D IH1 - S IY0 - AH0 N +DICESARE D IH0 - CH EH0 - S AA1 - R IY0 +DICEY D AY1 - S IY0 +DICHIARA D IH0 - K IY0 - AA1 - R AH0 +DICHOTOMY D AY0 - K AA1 - T AH0 - M IY0 +DICHROIC D AY0 - K R OW1 - IH0 K +DICHROMATE D AY0 - K R OW1 - M EY2 T +DICHROMATE(2) D AY1 - K R OW0 - M EY2 T +DICHTER D IH1 K - T ER0 +DICICCO D IH0 - S IH1 - K OW0 +DICIER D AY1 - S IY0 - ER0 +DICIOCCIO D IH0 - CH OW1 - CH IY0 - OW0 +DICK D IH1 K +DICK'S D IH1 K S +DICKARD D IH1 - K ER0 D +DICKASON D IH1 - K AH0 - S AH0 N +DICKE D IH1 K +DICKEL D IH1 - K AH0 L +DICKEN D IH1 - K AH0 N +DICKENS D IH1 - K AH0 N Z +DICKENS' D IH1 - K AH0 N Z +DICKENS'S D IH1 - K AH0 N - Z IH0 Z +DICKENSHEETS D IH1 - K AH0 N - SH IY2 T S +DICKENSIAN D IH0 - K EH1 N - Z IY0 - AH0 N +DICKENSON D IH1 - K IH0 N - S AH0 N +DICKER D IH1 - K ER0 +DICKERED D IH1 - K ER0 D +DICKERING D IH1 - K ER0 - IH0 NG +DICKERMAN D IH1 - K ER0 - M AH0 N +DICKERSON D IH1 - K ER0 - S AH0 N +DICKERT D IH1 - K ER0 T +DICKES D IH1 K S +DICKESON D IH1 - K IH0 - S AH0 N +DICKEY D IH1 - K IY0 +DICKEY'S D IH1 - K IY0 Z +DICKHAUT D IH1 K - HH AW2 T +DICKIE D IH1 - K IY0 +DICKINSON D IH1 - K IH0 N - S AH0 N +DICKISON D IH1 - K IH0 - S AH0 N +DICKLER D IH1 - K L ER0 +DICKMAN D IH1 K - M AH0 N +DICKMANN D IH1 K - M AH0 N +DICKMEYER D IH1 K - M AY0 - ER0 +DICKS D IH1 K S +DICKSON D IH1 K - S AH0 N +DICKSTEIN D IH1 K - S T AY0 N +DICKSTEIN'S D IH1 K - S T AY2 N Z +DICKSTEIN'S(2) D IH1 K S - T IY2 N Z +DICKSTEIN(2) D IH1 K S - T IY0 N +DICKY D IH1 - K IY0 +DICLEMENTE D IH2 - K L AH0 - M EH1 N - T EY0 +DICOCCO D IH0 - K OW1 - K OW0 +DICOLA D IH0 - K OW1 - L AH0 +DICOMED D IH1 - K AH0 - M EH0 D +DICOMED(2) D IY0 - K OW1 M D +DICOSTANZO D IH0 - K OW0 - S T AA1 N - Z OW0 +DICOTS D AY1 - K AA0 T S +DICTA D IH1 K - T AH0 +DICTAPHONE D IH1 K - T AH0 - F OW2 N +DICTATE D IH0 K - T EY1 T +DICTATE(2) D IH1 K - T EY2 T +DICTATED D IH0 K - T EY1 - T AH0 D +DICTATED(2) D IH1 K - T EY2 - T AH0 D +DICTATED(3) D IH1 K - T EY2 - T IH0 D +DICTATES D IH0 K - T EY1 T S +DICTATES(2) D IH1 K - T EY2 T S +DICTATING D IH1 K - T EY2 - T IH0 NG +DICTATION D IH0 K - T EY1 - SH AH0 N +DICTATOR D IH0 K - T EY1 - T ER0 +DICTATOR(2) D IH1 K - T EY0 - T ER0 +DICTATORIAL D IH2 K - T AH0 - T AO1 - R IY0 - AH0 L +DICTATORS D IH0 K - T EY1 - T ER0 Z +DICTATORS(2) D IH1 K - T EY0 - T ER0 Z +DICTATORSHIP D IH0 K - T EY1 - T ER0 - SH IH2 P +DICTATORSHIPS D IH0 K - T EY1 - T ER0 - SH IH2 P S +DICTION D IH1 K - SH AH0 N +DICTIONARIES D IH1 K - SH AH0 - N EH2 - R IY0 Z +DICTIONARY D IH1 K - SH AH0 - N EH2 - R IY0 +DICTUM D IH1 K - T AH0 M +DICUS D AY1 - K AH0 S +DID D IH1 D +DID(2) D IH0 D +DIDACTIC D AY0 - D AE1 K - T IH0 K +DIDDLEY D IH1 D - L IY0 +DIDDY D IH1 - D IY0 +DIDEMEYER D IY1 - D AH0 - M AY2 - ER0 +DIDEMEYER'S D IY1 - D AH0 - M AY2 - ER0 Z +DIDEOXYCYTIDINE D IH2 - D IY0 - AA2 K - S IY0 - S AY1 - T IH0 - D AY2 N +DIDI D IY1 - D IY0 +DIDIER D IH1 - D IY0 - ER0 +DIDINIUM D IH0 - D IH1 - N IY0 - AH0 M +DIDION D IH1 - D IY0 - AH0 N +DIDION'S D IH1 - D IY0 - AH0 N Z +DIDN'T D IH1 - D AH0 N T +DIDN'T(2) D IH1 D N T +DIDN'T(3) D IH1 - D AH0 N +DIDN'T(4) D IH1 N T +DIDO D AY1 - D OW0 +DIDOMENICO D IH0 - D OW0 - M EH1 - N IH0 - K OW0 +DIDONATO D IH0 - D OW0 - N AA1 - T OW0 +DIDONNA D IH0 - D AA1 - N AH0 +DIE D AY1 +DIEBEL D IY1 - B AH0 L +DIEBOLD D AY1 - B OW2 L D +DIECK D IY1 K +DIECKMAN D IY1 K - M AH0 N +DIECKMANN D IY1 K - M AH0 N +DIED D AY1 D +DIEDE D IY1 D +DIEDERICH D IY1 - D ER0 - IH0 K +DIEDRE D IY1 - D R AH0 +DIEDRICH D IY1 - D R IH0 K +DIEDRICK D IY1 - D R IH0 K +DIEFENBACH D IY1 - F IH0 N - B AA0 K +DIEFENDERFER D IY1 - F IH0 N - D ER0 - F ER0 +DIEFENDORF D IY1 - F IH0 N - D AO0 R F +DIEFFENBACH D IY1 - F IH0 N - B AA0 K +DIEGANS D IY1 - G AH0 N Z +DIEGEL D IY1 - G AH0 L +DIEGO D IY0 - EY1 - G OW0 +DIEGO'S D IY2 - EY1 - G OW2 Z +DIEGO-GARCIA D IY0 - EY1 - G OW0 - G AA2 R - S IY1 - AH0 +DIEGUEZ D IH0 - G EH1 Z +DIEHARD D AY1 - HH AA2 R D +DIEHARDS D AY1 - HH AA2 R D Z +DIEHL D IY1 L +DIEHM D IY1 M +DIEKMAN D IY1 K - M AH0 N +DIEKMANN D IY1 K - M AH0 N +DIEL D IY1 L +DIEM D IY1 M +DIEMER D IY1 - M ER0 +DIEMERT D IY1 - M ER0 T +DIENER D IY1 - N ER0 +DIENES D IY1 - N EH0 Z +DIENST D IY1 N S T +DIEP D IY1 P +DIER D IY1 - ER0 +DIERCKS D IY1 R K S +DIERINGER D IH1 - R IH0 N - JH ER0 +DIERKER D IY1 R - K ER0 +DIERKES D IY1 R K S +DIERKING D AY1 - ER0 - K IH0 NG +DIERKS D IY1 R K S +DIEROLF D IH1 - R OW0 L F +DIERS D IY1 - ER0 Z +DIERY D IH1 - R IY0 +DIES D AY1 Z +DIESEL D IY1 - S AH0 L +DIESEL(2) D IY1 - Z AH0 L +DIESELS D IY1 - Z AH0 L Z +DIESES D AY1 - Z IH0 Z +DIESING D IY1 - S IH0 NG +DIET D AY1 - AH0 T +DIET'S D AY1 - AH0 T S +DIETARY D AY1 - AH0 - T EH2 - R IY0 +DIETEL D IY1 - T AH0 L +DIETER D IY1 - T ER0 +DIETERICH D IY1 - T ER0 - IH0 K +DIETERLE D IY1 - T ER0 - AH0 L +DIETERS D AY1 - AH0 - T ER0 Z +DIETETIC D AY2 - AH0 - T EH1 - T IH0 K +DIETING D AY1 - AH0 - T IH0 NG +DIETITIAN D AY2 - AH0 - T IH1 - SH AH0 N +DIETITIAN'S D AY2 - AH0 - T IH1 - SH AH0 N Z +DIETITIANS D AY2 - AH0 - T IH1 - SH AH0 N Z +DIETL D AY1 - AH0 T L +DIETRICH D IY1 - T R IH0 K +DIETRICK D IY1 - T R IH0 K +DIETS D AY1 - IH0 T S +DIETSCH D IY1 CH +DIETSCHE D IY1 CH +DIETZ D IY1 T S +DIETZE D AY1 - AH0 T Z +DIETZEL D IY1 T - Z AH0 L +DIETZEN D IY1 T - Z AH0 N +DIETZLER D IY1 T S - L ER0 +DIETZMAN D IY1 T S - M AH0 N +DIEVLER D IY1 V - L ER0 +DIEZ D AY1 - AH0 Z +DIFABIO D IH0 - F EY1 - B IY0 - OW0 +DIFABIO(2) D IH0 - F AE1 - B IY0 - OW0 +DIFALCO D IH0 - F AE1 L - K OW0 +DIFAZIO D IH0 - F EY1 - Z IY0 - OW0 +DIFELICE D IH0 - F EH1 - L IH0 S +DIFELICE(2) D IH0 - F EH1 - L IY0 S +DIFELICE(3) D IH0 - F IH0 - L IY1 - CH EY0 +DIFF D IH1 F +DIFFEE D IH1 - F IY0 +DIFFENDERFER D IH1 - F IH0 N - D ER0 - F ER0 +DIFFER D IH1 - F ER0 +DIFFERED D IH1 - F ER0 D +DIFFERENCE D IH1 - F ER0 - AH0 N S +DIFFERENCE(2) D IH1 - F R AH0 N S +DIFFERENCES D IH1 - F ER0 - AH0 N - S IH0 Z +DIFFERENCES(2) D IH1 - F R AH0 N - S AH0 Z +DIFFERENT D IH1 - F ER0 - AH0 N T +DIFFERENT(2) D IH1 - F R AH0 N T +DIFFERENTIAL D IH2 - F ER0 - EH1 N - CH AH0 L +DIFFERENTIAL(2) D IH2 - F ER0 - EH1 N - SH AH0 L +DIFFERENTIALS D IH2 - F ER0 - EH1 N - CH AH0 L Z +DIFFERENTIALS(2) D IH2 - F ER0 - EH1 N - CH AH0 L Z +DIFFERENTIATE D IH2 - F ER0 - EH1 N - SH IY0 - EY2 T +DIFFERENTIATE(2) D IH2 - F ER0 - EH1 N - CH IY0 - EY2 T +DIFFERENTIATED D IH2 - F ER0 - EH1 N - CH IY0 - EY2 - T IH0 D +DIFFERENTIATED(2) D IH2 - F ER0 - EH1 N - SH IY0 - EY2 - T AH0 D +DIFFERENTIATES D IH0 - F ER0 - EH1 N - SH IY0 - EY2 T S +DIFFERENTIATES(2) D IH2 - F ER0 - EH1 N - CH IY0 - EY2 T S +DIFFERENTIATING D IH2 - F ER0 - EH1 N - CH IY0 - EY2 - T IH0 NG +DIFFERENTIATING(2) D IH2 - F ER0 - EH1 N - SH IY0 - EY2 - T IH0 NG +DIFFERENTIATION D IH0 - F ER0 - EH2 N - SH IY0 - EY1 - SH AH0 N +DIFFERENTIATION(2) D IH2 - F ER0 - EH2 N - CH IY0 - EY1 - SH AH0 N +DIFFERENTLY D IH1 - F R AH0 N T - L IY0 +DIFFERENTLY(2) D IH1 - F ER0 - EH1 N T - L IY0 +DIFFERING D IH1 - F ER0 - IH0 NG +DIFFERING(2) D IH1 - F R IH0 NG +DIFFERS D IH1 - F ER0 Z +DIFFICULT D IH1 - F AH0 - K AH0 L T +DIFFICULTIES D IH1 - F AH0 - K AH0 L - T IY0 Z +DIFFICULTIES(2) D IH1 - F IH0 - K AH2 L - T IY0 Z +DIFFICULTLY D IH1 - F AH0 - K AH0 L T - L IY0 +DIFFICULTY D IH1 - F AH0 - K AH0 L - T IY0 +DIFFICULTY(2) D IH1 - F IH0 - K AH2 L - T IY0 +DIFFIN D IH1 - F IH0 N +DIFFLEY D IH1 F - L IY0 +DIFFRACT D IH0 - F R AE1 K T +DIFFRACTION D IH0 - F R AE1 K - SH AH0 N +DIFFUSE D IH0 - F Y UW1 S +DIFFUSE(2) D IH0 - F Y UW1 Z +DIFFUSED D IH0 - F Y UW1 Z D +DIFFUSES D IH0 - F Y UW1 - Z AH0 Z +DIFFUSING D IH0 - F Y UW1 - Z IH0 NG +DIFFUSION D IH0 - F Y UW1 - ZH AH0 N +DIFILIPPO D IH0 - F IY0 - L IY1 - P OW0 +DIFIORE D IH0 - F IY0 - AO1 - R IY0 +DIFIORE(2) D AH0 - F Y AO1 - R IY0 +DIFM D IH1 F M +DIFM(2) D IY1 - AY1 - EH1 - F EH1 M +DIFONZO D IH0 - F AA1 N - Z OW0 +DIFRANCESCO D IH0 - F R AA0 N - CH EH1 - S K OW0 +DIFRANCO D IH0 - F R AA1 N - K OW0 +DIG D IH1 G +DIGAETANO D IH0 - JH AH0 - T AA1 - N OW0 +DIGALAKIS D IH0 - JH AH0 - L AA1 - K AH0 S +DIGANGI D IH0 - G AE1 N - JH IY0 +DIGATE D AY1 - G EY2 T +DIGBY D IH1 G - B IY0 +DIGENNARO D IH0 - JH EH0 - N AA1 - R OW0 +DIGENOVA D IY2 - JH EH0 - N OW1 - V AH0 +DIGERONIMO D IH0 - JH ER0 - OW0 - N IY1 - M OW0 +DIGEST D AY0 - JH EH1 S T +DIGEST'S D AY1 - JH EH2 S T S +DIGEST(2) D AY1 - JH EH0 S T +DIGESTED D AY1 - JH EH2 - S T IH0 D +DIGESTER D AY1 - JH EH2 - S T ER0 +DIGESTIBLE D AY0 - JH EH1 - S T AH0 - B AH0 L +DIGESTING D AY0 - JH EH1 - S T IH0 NG +DIGESTING(2) D AY1 - JH EH2 - S T IH0 NG +DIGESTION D AY0 - JH EH1 S - CH AH0 N +DIGESTIVE D AY0 - JH EH1 - S T IH0 V +DIGESTS D AH0 - JH EH1 S T S +DIGESTS(2) D AY1 - JH EH0 S T S +DIGESTS(3) D AH0 - JH EH1 S S +DIGESTS(4) D AY1 - JH EH0 S S +DIGESTS(5) D AH0 - JH EH1 S +DIGESTS(6) D AY1 - JH EH0 S +DIGGA D IH1 - G AH0 +DIGGER D IH1 - G ER0 +DIGGERS D IH1 - G ER0 Z +DIGGES D IH1 G Z +DIGGING D IH1 - G IH0 NG +DIGGINS D IH1 - G IH0 N Z +DIGGLE D IH1 - G AH0 L +DIGGS D IH1 G Z +DIGIACOMO D IY1 - JH AH0 - K OW0 - M OW0 +DIGICON D IH1 - JH IH0 - K AA2 N +DIGIDYNE D IH1 - JH IH0 - D AY2 N +DIGILIO D IH0 - JH IY1 - L IY0 - OW0 +DIGIOIA D IH0 - JH OW1 - Y AH0 +DIGIORGIO D IH0 - JH AO1 R - JH IY0 - OW0 +DIGIOVANNA D IH0 - JH OW0 - V AA1 - N AH0 +DIGIOVANNI D IH0 - JH OW0 - V AA1 - N IY0 +DIGIROLAMO D IH0 - JH IH0 - R OW0 - L AA1 - M OW0 +DIGIT D IH1 - JH AH0 T +DIGIT(2) D IH1 - JH IH0 T +DIGITAL D IH1 - JH AH0 - T AH0 L +DIGITAL'S D IH1 - JH AH0 - T AH0 L Z +DIGITAL'S(2) D IH1 - JH IH0 - T AH0 L Z +DIGITAL(2) D IH1 - JH IH0 - T AH0 L +DIGITALIS D IH2 - JH AH0 - T AE1 - L AH0 S +DIGITALLY D IH1 - JH AH0 - T AH0 - L IY0 +DIGITECH D IH1 - JH AH0 - T EH2 K +DIGITIZE D IH1 - JH AH0 - T AY2 Z +DIGITIZED D IH1 - JH AH0 - T AY2 Z D +DIGITIZING D IH1 - JH AH0 - T AY2 - Z IH0 NG +DIGITS D IH1 - JH AH0 T S +DIGITS(2) D IH1 - JH IH0 T S +DIGIULIO D IH0 - JH UW1 - L IY0 - OW0 +DIGIUSEPPE D IY2 - JH UW0 - S EH1 - P IY0 +DIGMAN D IH1 G - M AH0 N +DIGNAN D IH1 G - N AH0 N +DIGNIFIED D IH1 G - N AH0 - F AY2 D +DIGNIFY D IH1 G - N AH0 - F AY2 +DIGNITARIES D IH1 G - N AH0 - T EH2 - R IY0 Z +DIGNITARY D IH1 G - N AH0 - T EH2 - R IY0 +DIGNITY D IH1 G - N AH0 - T IY0 +DIGRAZIA D IH0 - G R AA1 - Z IY0 - AH0 +DIGREGORIO D IH0 - G R EH0 - G AO1 - R IY0 - OW0 +DIGRESS D AY0 - G R EH1 S +DIGRESSED D AY0 - G R EH1 S T +DIGRESSING D AY0 - G R EH1 - S IH0 NG +DIGRESSION D AY0 - G R EH1 - SH AH0 N +DIGRESSIONS D AY0 - G R EH1 - SH AH0 N Z +DIGS D IH1 G Z +DIGUGLIELMO D IH0 - G UW2 G - L IY0 - EH1 L - M OW0 +DIIANNI D IY2 - AE1 - N IY0 +DIIORIO D IH0 - Y AO1 - R IY0 - OW0 +DIJKER D IY1 - K ER0 +DIJON D IY1 - ZH AA2 N +DIJON(2) D IY0 - ZH OW1 N +DIKE D AY1 K +DIKEMAN D AY1 K - M AH0 N +DIKES D AY1 K S +DILAPIDATE D AH0 - L AE1 - P AH0 - D EY2 T +DILAPIDATED D AH0 - L AE1 - P AH0 - D EY2 - T IH0 D +DILATATION D IH2 - L AH0 - T EY1 - SH AH0 N +DILATE D AY0 - L EY1 T +DILATED D AY0 - L EY1 - T AH0 D +DILATION D AY0 - L EY1 - SH AH0 N +DILATORY D IH1 - L AH0 - T AO2 - R IY0 +DILAURA D IH0 - L AO1 - R AH0 +DILAURO D IH0 - L AO1 - R OW0 +DILBECK D IH1 L - B EH2 K +DILBERT D IH0 L - B ER1 T +DILDAY D IH1 L - D EY2 +DILDINE D IH0 L - D IY1 - N IY0 +DILDY D IH1 L - D IY0 +DILELLA D IH0 - L EH1 - L AH0 +DILELLO D IH0 - L EH1 - L OW0 +DILEMMA D IH0 - L EH1 - M AH0 +DILEMMAS D AH0 - L EH1 - M AH0 Z +DILENSCHNEIDER D AY1 - L AH0 N SH - N AY2 - D ER0 +DILEO D IH1 - L IY0 - OW0 +DILEONARDO D IH0 - L IY0 - AH0 - N AA1 R - D OW0 +DILES D AY1 L Z +DILG D IH1 L G +DILGER D IH1 L - G ER0 +DILIBERTO D IH0 - L IY0 - B EH1 R - T OW0 +DILIGENCE D IH1 - L AH0 - JH AH0 N S +DILIGENCE(2) D IH1 - L IH0 - JH AH0 N S +DILIGENT D IH1 - L IH0 - JH AH0 N T +DILIGENTLY D IH1 - L AH0 - JH AH0 N T - L IY0 +DILIP D IH1 - L IH0 P +DILITHIUM D AY0 - L IH1 - TH IY0 - AH0 M +DILKS D IH1 L K S +DILL D IH1 L +DILLAHUNT D IH1 - L AH0 - HH AH2 N T +DILLAHUNTY D IH1 - L AH0 - HH AH2 N - T IY0 +DILLARD D IH1 - L ER0 D +DILLARD'S D IH1 - L ER0 D Z +DILLARD'S(2) D IH1 - L AA1 R D Z +DILLARD'S(3) D IH1 - L AH0 D Z +DILLARD(2) D IH1 - L AA1 R D +DILLARD(3) D IH1 - L AH0 D +DILLE D IH1 L +DILLEHAY D IH1 - L IH0 - HH EY0 +DILLEN D IH1 - L AH0 N +DILLENBECK D IH1 - L AH0 N - B EH2 K +DILLENBURG D IH1 - L AH0 N - B ER0 G +DILLER D IH1 - L ER0 +DILLER'S D IH1 - L ER0 Z +DILLEY D IH1 - L IY0 +DILLIE D IH1 - L IY0 +DILLIN D IH1 - L IH0 N +DILLING D IH1 - L IH0 NG +DILLINGER D IH1 - L IH0 - NG ER0 +DILLINGHAM D IH1 - L IH0 NG - HH AE2 M +DILLION D IH1 - L Y AH0 N +DILLMAN D IH1 L - M AH0 N +DILLMORE D IH1 L - M AO0 R +DILLON D IH1 - L AH0 N +DILLON'S D IH1 - L AH0 N Z +DILLOW D IH1 - L OW0 +DILLS D IH1 L Z +DILLWORTH D IH1 L - W ER2 TH +DILLY D IH1 - L IY0 +DILMORE D IY1 L - M AO0 R +DILORENZO D IH0 - L AO0 - R EH1 N - Z OW0 +DILORETO D IH0 - L AO0 - R EH1 - T OW0 +DILORIO D IH0 - L AO1 - R IY0 - OW0 +DILS D IH1 L Z +DILSAVER D IH1 L - S AH0 - V ER0 +DILSON D IH1 L - S AH0 N +DILTIAZEM D IH0 L - T IY1 - AH0 - Z EH2 M +DILTS D IH1 L T S +DILTZ D IH1 L T S +DILULLO D IH0 - L UW1 - L OW0 +DILUTE D AY0 - L UW1 T +DILUTE(2) D IH0 - L UW1 T +DILUTED D AY0 - L UW1 - T AH0 D +DILUTED(2) D IH0 - L UW1 - T AH0 D +DILUTES D AY0 - L UW1 T S +DILUTES(2) D IH0 - L UW1 T S +DILUTING D AY0 - L UW1 - T IH0 NG +DILUTING(2) D IH0 - L UW1 - T IH0 NG +DILUTION D AY0 - L UW1 - SH AH0 N +DILUTION(2) D IH0 - L UW1 - SH AH0 N +DILUTIVE D AH0 - L UW1 - T IH0 V +DILUTIVE(2) D IY0 - L UW1 - T IH0 V +DILUZIO D IH0 - L UW1 - Z IY0 - OW0 +DILWORTH D IH1 L - W ER0 TH +DIM D IH1 M +DIMAGGIO D IH0 - M AE1 - JH IY0 - OW0 +DIMAIO D IH0 - M AA1 - IY0 - OW0 +DIMAMBRO D IH0 - M AE1 M - B R OW0 +DIMARCO D IH0 - M AA1 R - K OW0 +DIMARE D IH0 - M AA1 - R IY0 +DIMARIA D IH0 - M AA1 - R IY0 - AH0 +DIMARINO D IH0 - M AA0 - R IY1 - N OW0 +DIMARIO D IH0 - M AA1 - R IY0 - OW0 +DIMARTINO D IY2 - M AA0 R - T IY1 - N OW0 +DIMARZIO D IH0 - M AA1 R - Z IY0 - OW0 +DIMARZO D IH0 - M AA1 R - Z OW0 +DIMAS D AY1 - M AH0 Z +DIMASCIO D IH0 - M AE1 - S IY0 - OW0 +DIMASI D IH0 - M AA1 - S IY0 +DIMATTEO D IH0 - M AA1 - T IY0 - OW0 +DIMAURO D IH0 - M AO1 - R OW0 +DIME D AY1 M +DIME'S D AY1 M Z +DIMEGLIO D IH0 - M EH1 G - L IY0 - OW0 +DIMENACI D IH2 - M EH1 - AH0 - CH IY0 +DIMENSION D IH0 - M EH1 N - SH AH0 N +DIMENSIONAL D IH0 - M EH1 N - SH AH0 - N AH0 L +DIMENSIONALITY D IH0 - M EH2 N - SH AH0 - N AE1 - L AH0 - T IY0 +DIMENSIONED D AH0 - M EH1 N - CH AH0 N D +DIMENSIONS D IH0 - M EH1 N - SH AH0 N Z +DIMEO D IY1 - M IY0 - OW0 +DIMER D AY1 - M ER0 +DIMERCURIO D IH0 - M ER0 - K UH1 - R IY0 - OW0 +DIMES D AY1 M Z +DIMETAPP D AY1 - M AH0 - T AE2 P +DIMICELI D IH0 - M IY0 - CH EH1 - L IY0 +DIMICHELE D IH0 - M IY0 - K EH1 - L IY0 +DIMICK D IH1 - M IH0 K +DIMING D AY1 - M IH0 NG +DIMINISH D IH0 - M IH1 - N IH0 SH +DIMINISHED D IH0 - M IH1 - N IH0 SH T +DIMINISHES D IH0 - M IH1 - N IH0 - SH IH0 Z +DIMINISHING D IH0 - M IH1 - N IH0 - SH IH0 NG +DIMINISHMENT D IH0 - M IH1 - N IH0 SH - M AH0 N T +DIMINO D IH0 - M IY1 - N OW0 +DIMINUTION D IH2 - M AH0 - N UW1 - SH AH0 N +DIMINUTIVE D IH0 - M IH1 - N Y AH0 - T IH0 V +DIMITRI D IH0 - M IY1 - T R IY0 +DIMITRIOS D IH0 - M IY1 - T R IY0 - OW0 S +DIMITRIUS D IH0 - M IY1 - T R IY0 - AH0 S +DIMITRIUS' D IH0 - M IY1 - T R IY0 - AH0 S +DIMITRIUS'S D IH0 - M IY1 - T R IY0 - AH0 - S IH0 S +DIMITROFF D IH1 - M IH0 - T R AO0 F +DIMITRUK D IH0 - M IY1 - T R UH2 K +DIMLY D IH1 M - L IY0 +DIMMED D IH1 M D +DIMMER D IH1 - M ER0 +DIMMERS D IH1 - M ER0 Z +DIMMICK D IH1 - M IH0 K +DIMMING D IH1 - M IH0 NG +DIMMITT D IH1 - M IH0 T +DIMOCK D IH1 - M AH0 K +DIMON D IH1 - M AH0 N +DIMONA D IH0 - M OW1 - N AH0 +DIMOND D AY1 - M AH0 N D +DIMORPHIC D AY0 - M AO1 R - F IH0 K +DIMORPHISM D AY0 - M AO1 R - F IH0 - Z AH0 M +DIMPERIO D IH0 M - P EH1 - R IY0 - OW0 +DIMPLE D IH1 M - P AH0 L +DIMPLED D IH1 M - P AH0 L D +DIMRY D IH1 M - R IY0 +DIMS D IH1 M Z +DIMSDALE D IH1 M Z - D EY2 L +DIMURO D IH0 - M UH1 - R OW0 +DIMUZIO D IH0 - M UW1 - Z IY0 - OW0 +DIN D IH1 N +DINA D IY1 - N AH0 +DINAH D AY1 - N AH0 +DINAN D IH1 - N AH0 N +DINAPOLI D IH0 N - AE1 - P AH0 - L IY0 +DINAR D IH0 - N AA1 R +DINARDO D IH0 - N AA1 R - D OW0 +DINARS D AY1 - N ER0 Z +DINARS(2) D IH2 - N AA1 R Z +DINATALE D IH0 - N AA0 - T AA1 - L IY0 +DINATALE(2) D IY0 - N AA0 - T AA1 - L IY0 +DINDA D IH1 N - D AH0 +DINE D AY1 N +DINED D AY1 N D +DINEEN D IH0 - N IY1 N +DINEHART D AY1 N - HH AA2 R T +DINER D AY1 - N ER0 +DINERS D AY1 - N ER0 Z +DINES D AY1 N Z +DINESH D IH1 - N EH0 SH +DING D IH1 NG +DINGEE D IH1 NG - G IY0 +DINGEL D IH1 NG - G AH0 L +DINGELL D IH1 NG - G AH0 L +DINGELL'S D IH1 NG - G AH0 L Z +DINGER D IH1 - NG ER0 +DINGES D IH1 N - JH IH0 Z +DINGESS D IH1 NG - G IH0 S +DINGHAM D IH1 - NG AH0 M +DINGHY D IH1 NG - IY0 +DINGLE D IH1 NG - G AH0 L +DINGLEDINE D IH1 NG - G AH0 L - D AY0 N +DINGLER D IH1 NG - G AH0 - L ER0 +DINGLER(2) D IH1 NG - G L ER0 +DINGLEY D IH1 NG - G L IY0 +DINGMAN D IH1 NG - M AH0 N +DINGO D IH1 NG - G OW0 +DINGS D IH1 NG Z +DINGUS D IH1 NG - G IH0 S +DINGWALL D IH1 NG - G W AH0 L +DINGY D IH1 N - JH IY0 +DINH D IH1 N +DINI D IY1 - N IY0 +DINICOLA D IH0 - N IY0 - K OW1 - L AH0 +DINING D AY1 - N IH0 NG +DININO D IH0 - N IY1 - N OW0 +DINIUS D AY1 - N IY0 - IH0 S +DINK D IH1 NG K +DINKEL D IH1 NG - K AH0 L +DINKINS D IH1 NG - K IH0 N Z +DINKINS' D IH1 NG - K IH0 N Z +DINKY D IH1 NG - K IY0 +DINMUKHAMED D IH2 N - M UW0 - K AA1 - M EH0 D +DINNEEN D IH0 - N IY1 N +DINNER D IH1 - N ER0 +DINNERS D IH1 - N ER0 Z +DINNERTIME D IH1 - N ER0 - T AY2 M +DINNERWARE D IH1 - N ER0 - W EH2 R +DINNING D IH1 - N IH0 NG +DINO D IY1 - N OW0 +DINOSAUR D AY1 - N AH0 - S AO2 R +DINOSAURS D AY1 - N AH0 - S AO2 R Z +DINOSEB D AY1 - N OW0 - S EH2 B +DINOTO D IH0 - N OW1 - T OW0 +DINOTOPIA D AY2 - N AH0 - T OW1 - P IY0 - AH0 +DINOVO D IH0 - N OW1 - V OW0 +DINSA D IH1 N - S AH0 +DINSDALE D IH1 N Z - D EY2 L +DINSE D IH1 N S +DINSMORE D IY1 N S - M AO0 R +DINT D IH1 N T +DINUNZIO D IH0 - N AH1 N - Z IY0 - OW0 +DINWIDDIE D IH1 N - W IH0 - D IY0 +DIOCESAN D AY0 - AA1 - S AH0 - S AH0 N +DIOCESE D AY1 - AH0 - S IY2 Z +DIOCESE(2) D AY1 - AH0 - S AH0 S +DIOCESES D AY1 - AH0 - S IY2 Z +DIOCESES(2) D AY1 - AH0 - S IY2 - Z AH0 Z +DIODATI D IY0 - OW0 - D AA1 - T IY0 +DIODATO D IY0 - OW0 - D AA1 - T OW0 +DIODE D AY1 - OW2 D +DIODES D AY1 - OW2 D Z +DIOGUARDI D IY0 - OW0 - G AA1 R - D IY0 +DION D AY1 - AH0 N +DION(2) D IY1 - AO2 N +DIONA D IY0 - OW1 - N AH0 +DIONE D IY1 - AA0 N +DIONISIO D AY2 - AH0 - N IH1 - S IY0 - OW0 +DIONNE D IY1 - AA0 N +DIONYSIUS D AY2 - AH0 - N IH1 - S IY0 - AH0 S +DIOR D IY2 - AO1 R +DIORIO D IY0 - AO1 - R IY0 - OW0 +DIORITE D AY1 - ER0 - AY2 T +DIOS D IY1 - OW0 S +DIOS' D IY1 - OW0 S +DIOS'S D IY1 - OW0 - S IH0 Z +DIOXIDE D AY0 - AA1 K - S AY2 D +DIOXIDES D AY0 - AA1 K - S AY0 D Z +DIOXIN D AY2 - AA1 K - S IH0 N +DIOXINS D AY2 - AA1 K - S IH0 N Z +DIP D IH1 P +DIPALMA D IH0 - P AA1 L - M AH0 +DIPAOLA D IH0 - P AA0 - OW1 - L AH0 +DIPAOLO D IH0 - P AA0 - OW1 - L OW0 +DIPASQUALE D IH0 - P AA0 S - K W AA1 - L IY0 +DIPASQUALE(2) D IY0 - P AA0 S - K W AA1 - L IY0 +DIPERNA D IH0 - P EH1 R - N AH0 +DIPHTHERIA D IH0 F - TH IH1 - R IY0 - AH0 +DIPIAZZA D IH0 - P IY0 - AA1 T - S AH0 +DIPIAZZA(2) D IY0 - P IY0 - AA1 T - S AH0 +DIPIERO D IH0 - P IH1 - R OW0 +DIPIERRO D IH0 - P IH1 - R OW0 +DIPIETRO D IH0 - P IY1 - T R OW0 +DIPINTO D IH0 - P IH1 N - T OW0 +DIPIRRO D IH0 - P IH1 - R OW0 +DIPLOMA D IH0 - P L OW1 - M AH0 +DIPLOMACY D IH0 - P L OW1 - M AH0 - S IY0 +DIPLOMAS D IH0 - P L OW1 - M AH0 Z +DIPLOMAT D IH1 - P L AH0 - M AE2 T +DIPLOMAT'S D IH1 - P L AH0 - M AE2 T S +DIPLOMATIC D IH2 - P L AH0 - M AE1 - T IH0 K +DIPLOMATICALLY D IH2 - P L AH0 - M AE1 - T IH0 K - L IY0 +DIPLOMATS D IH1 - P L AH0 - M AE2 T S +DIPLOMATS' D IH1 - P L AH0 - M AE2 T S +DIPOLE D AY1 - P OW2 L +DIPPED D IH1 P T +DIPPEL D IH1 - P AH0 L +DIPPER D IH1 - P ER0 +DIPPERS D IH1 - P ER0 Z +DIPPING D IH1 - P IH0 NG +DIPPLE D IH1 - P AH0 L +DIPPOLD D IH1 - P OW2 L D +DIPPOLITO D IH0 - P OW0 - L IY1 - T OW0 +DIPPY D IH1 - P IY0 +DIPRIMA D IH0 - P R IY1 - M AH0 +DIPS D IH1 P S +DIPSTICK D IH1 P - S T IH2 K +DIRCKS D ER1 K S +DIRE D AY1 R +DIRE(2) D AY1 - ER0 +DIRECT D ER0 - EH1 K T +DIRECT(2) D AY0 - R EH1 K T +DIRECT(3) D IY0 - R EH1 K T +DIRECT(4) D IH0 - R EH1 K T +DIRECTED D ER0 - EH1 K - T AH0 D +DIRECTED(2) D ER0 - EH1 K - T IH0 D +DIRECTED(3) D AY0 - R EH1 K - T IH0 D +DIRECTED(4) D IY0 - R EH1 K - T IH0 D +DIRECTED(5) D IH0 - R EH1 K - T IH0 D +DIRECTING D ER0 - EH1 K - T IH0 NG +DIRECTING(2) D IY0 - R EH1 K - T IH0 NG +DIRECTING(3) D AY0 - R EH1 K - T IH0 NG +DIRECTING(4) D IH0 - R EH1 K - T IH0 NG +DIRECTION D ER0 - EH1 K - SH AH0 N +DIRECTION(2) D IY0 - R EH1 K - SH IH0 N +DIRECTION(3) D AY0 - R EH1 K - SH IH0 N +DIRECTION(4) D IH0 - R EH1 K - SH IH0 N +DIRECTIONAL D ER0 - EH1 K - SH AH0 - N AH0 L +DIRECTIONAL(2) D IY0 - R EH1 K - SH IH0 - N AH0 L +DIRECTIONAL(3) D AY0 - R EH1 K - SH IH0 - N AH0 L +DIRECTIONAL(4) D IH0 - R EH1 K - SH IH0 - N AH0 L +DIRECTIONLESS D ER0 - EH1 K - SH AH0 N - L AH0 S +DIRECTIONLESS(2) D IY0 - R EH1 K - SH IH0 N - L AH0 S +DIRECTIONLESS(3) D AY0 - R EH1 K - SH IH0 N - L AH0 S +DIRECTIONLESS(4) D IH0 - R EH1 K - SH IH0 N - L AH0 S +DIRECTIONS D ER0 - EH1 K - SH AH0 N Z +DIRECTIONS(2) D IY0 - 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AH0 - B AH0 L +DOAK D OW1 K +DOAN D OW1 N +DOANE D OW1 N +DOANH D OW1 N +DOANNA D OW1 - N AH0 +DOB D AA1 B +DOBB D AA1 B +DOBBERSTEIN D AA1 - B ER0 - S T IY2 N +DOBBERSTEIN(2) D AA1 - B ER0 - S T AY2 N +DOBBIE D AA1 - B IY0 +DOBBIN D AA1 - B IH0 N +DOBBINS D AA1 - B IH0 N Z +DOBBS D AA1 B Z +DOBEK D OW1 - B IH0 K +DOBER D OW1 - B ER0 +DOBERMAN D OW1 - B ER0 - M AH0 N +DOBERSTEIN D OW1 - B ER0 - S T AY0 N +DOBERSTEIN(2) D OW1 - B ER0 - S T IY0 N +DOBESH D AA1 - B IH0 SH +DOBEY D AA1 - B IY0 +DOBIAS D OW0 - B IY1 - AH0 Z +DOBIE D AA1 - B IY0 +DOBIES D OW1 - B IY0 Z +DOBIS D OW1 - B IH0 S +DOBKIN D AA1 B - K IH0 N +DOBKINS D AA1 B - K IH0 N Z +DOBLE D OW1 - B AH0 L +DOBLER D OW1 - B AH0 L - ER0 +DOBLER(2) D OW1 - B L ER0 +DOBMEIER D AA1 B - M AY0 - ER0 +DOBOS D OW1 - B OW0 Z +DOBOSZ D AA1 - B AH0 SH +DOBRANSKY D AH0 - B R AE1 N S - K IY0 +DOBRATZ D AA1 - B R AH0 T S +DOBRIMIR D AH0 - B R IY1 - M IH0 R +DOBRIN D AA1 - B R IH0 N +DOBRINJA D AH0 - B R IY1 N - JH AH0 +DOBRINJA(2) D AH0 - B R IY1 - N Y AH0 +DOBRINS D AA1 - B R IH0 N Z +DOBRINSKI D AH0 - B R IH1 N S - K IY0 +DOBROWOLSKI D AH0 - B R AW0 - OW1 L - S K IY0 +DOBROWSKI D AH0 - B R AO1 F S - K IY0 +DOBRY D AA1 - B R IY0 +DOBRYNIN D AA1 - B R IH0 - N IH0 N +DOBRYNIN(2) D AH0 - B R IY1 - N IH0 N +DOBRZYNSKI D OW2 - B R AH0 - ZH IH1 N - S K IY0 +DOBSON D AA1 B - S AH0 N +DOBSON'S D AA1 B - S AH0 N Z +DOBSONS D AA1 B - S AH0 N Z +DOBY D OW1 - B IY0 +DOBYNS D OW1 - B IH0 N Z +DOC D AA1 K +DOCENT D OW1 - S AH0 N T +DOCENTS D OW1 - S AH0 N T S +DOCHERTY D AA1 - CH ER0 - T IY0 +DOCHOW D OW1 - CH AW0 +DOCHTERMAN D AA1 K - T ER0 - M AH0 N +DOCIE D AA1 - K IY0 +DOCILA D AA1 - S IH0 - L AH0 +DOCILE D AA1 - S AH0 L +DOCILITY D AA0 - S IH1 - L AH0 - T IY0 +DOCK D AA1 K +DOCK'S D AA1 K S +DOCKED D AA1 K T +DOCKEN D AA1 - K AH0 N +DOCKENDORF D AA1 - K IH0 N - D AO0 R F +DOCKER D AA1 - K ER0 +DOCKERS D AA1 - K ER0 Z +DOCKERY D AA1 - K ER0 - IY0 +DOCKET D AA1 - K AH0 T +DOCKETS D AA1 - K AH0 T S +DOCKHAM D AA1 K - HH AH0 M +DOCKIERS D AA1 - K Y ER0 Z +DOCKING D AA1 - K IH0 NG +DOCKINS D AA1 - K IH0 N Z +DOCKLAND D AA1 K - L AH0 N D +DOCKLANDS D AA1 K - L AH0 N D Z +DOCKS D AA1 K S +DOCKSIDE D AA1 K - S AY2 D +DOCKSON D AA1 K - S AH0 N +DOCKSTADER D AA1 K - S T AH0 - D ER0 +DOCKTER D AA1 K - T ER0 +DOCKWORKER D AA1 K - W ER2 - K ER0 +DOCKWORKERS D AA1 K - W ER2 - K ER0 Z +DOCKYARD D AA1 K - Y AA2 R D +DOCTOR D AA1 K - T ER0 +DOCTOR'S D AA1 K - T ER0 Z +DOCTOR(2) D AO1 K - T ER0 +DOCTORAL D AA1 K - T ER0 - AH0 L +DOCTORATE D AA1 K - T ER0 - AH0 T +DOCTORATES D AA1 K - T ER0 - AH0 T S +DOCTORED D AA1 K - T ER0 D +DOCTORING D AA1 K - T ER0 - IH0 NG +DOCTORS D AA1 K - T ER0 Z +DOCTORS' D AA1 K - T ER0 Z +DOCTRINAIRE D AA2 K - T R AH0 - N EH1 R +DOCTRINAL D AA1 K - T R AH0 - N AH0 L +DOCTRINE D AA1 K - T R AH0 N +DOCTRINE'S D AA1 K - T R AH0 N Z +DOCTRINE(2) D AO1 K - T ER0 - IH0 N +DOCTRINES D AA1 K - T R AH0 N Z +DOCUDRAMA D OW2 - K AH0 - D R AE1 - M AH0 +DOCUMENT D AA1 - K Y AH0 - M EH0 N T +DOCUMENT(2) D AA1 - K Y UW0 - M EH0 N T +DOCUMENTA D AA2 - K Y UW0 - M EH1 N - T AH0 +DOCUMENTARIES D AA2 - K Y AH0 - M EH1 N - T ER0 - IY0 Z +DOCUMENTARIES(2) D AA2 - K Y AH0 - M EH1 - N ER0 - IY0 Z +DOCUMENTARIES(3) D AA2 - K Y UW0 - M EH1 N - T ER0 - IY0 Z +DOCUMENTARIES(4) D AA2 - K Y UW0 - M EH1 - N ER0 - IY0 Z +DOCUMENTARY D AA2 - K Y AH0 - M EH1 N - T ER0 - IY0 +DOCUMENTARY(2) D AA2 - K Y AH0 - M EH1 - N ER0 - IY0 +DOCUMENTARY(3) D AA2 - K Y UW0 - M EH1 N - T ER0 - IY0 +DOCUMENTARY(4) D AA2 - K Y UW0 - M EH1 - N ER0 - IY0 +DOCUMENTATION D AA2 - K Y AH0 - M EH0 N - T EY1 - SH AH0 N +DOCUMENTATION(2) D AA2 - K Y UW0 - M EH0 N - T EY1 - SH AH0 N +DOCUMENTED D AA1 - K Y AH0 - M EH2 N - T AH0 D +DOCUMENTED(2) D AA1 - K Y AH0 - M EH2 - N AH0 D +DOCUMENTED(3) D AA1 - K Y UW0 - M EH2 N - T AH0 D +DOCUMENTED(4) D AA1 - K Y UW0 - M EH2 - N AH0 D +DOCUMENTING D AA1 - K Y AH0 - M AH0 N - T IH0 NG +DOCUMENTING(2) D AA1 - K Y AH0 - M AH0 - N IH0 NG +DOCUMENTING(3) D AA1 - K Y UW0 - M AH0 N - T IH0 NG +DOCUMENTING(4) D AA1 - K Y UW0 - M AH0 - N IH0 NG +DOCUMENTS D AA1 - K Y AH0 - M AH0 N T S +DOCUMENTS(2) D AA1 - K Y UW0 - M AH0 N T S +DODARO D OW0 - D AA1 - R OW0 +DODD D AA1 D +DODD'S D AA1 D Z +DODDERING D AA1 - D ER0 - IH0 NG +DODDINGTON D AA1 - D IH0 N - T AH0 N +DODDINGTON(2) D AA1 - D IH0 NG - T AH0 N +DODDRIDGE D AA1 - D R IH0 JH +DODDS D AA1 D Z +DODGE D AA1 JH +DODGE'S D AA1 - JH IH0 Z +DODGED D AA1 JH D +DODGEN D AA1 - JH AH0 N +DODGER D AA1 - JH ER0 +DODGER'S D AA1 - JH ER0 Z +DODGERS D AA1 - JH ER0 Z +DODGERS' D AA1 - JH ER0 Z +DODGES D AA1 - JH IH0 Z +DODGING D AA1 - JH IH0 NG +DODO D OW1 - D OW0 +DODO'S D OW1 - D OW0 Z +DODOS D OW1 - D OW0 Z +DODRILL D AA1 - D R AH0 L +DODSON D AA1 D - S AH0 N +DODSWORTH D AA1 D - S W ER0 TH +DOE D OW1 +DOE'S D OW1 Z +DOEBLER D OW1 - B AH0 L - ER0 +DOEBLER(2) D OW1 - B L ER0 +DOEDEN D OW1 - D AH0 N +DOEGE D OW1 JH +DOEHRING D AO1 - R IH0 NG +DOELL D OW1 L +DOENGES D OW1 N - JH IH0 Z +DOEPKE D OW1 P K +DOEPKER D OW1 P - K ER0 +DOER D UW1 R +DOERFLER D AO1 R - F AH0 - L ER0 +DOERFLER(2) D AO1 R - F L ER0 +DOERFLINGER D AO1 R - F AH0 L - IH0 - NG ER0 +DOERFLINGER(2) D AO1 R - F L IH0 - NG ER0 +DOERING D UW1 - ER0 - IH0 NG +DOERNBERG D AO1 R N - B ER0 G +DOERNER D AO1 R - N ER0 +DOERR D AO1 R +DOERS D UW1 - ER0 Z +DOERSAM D AO1 R - S AH0 M +DOES D AH1 Z +DOES(2) D IH0 Z +DOESCHER D OW1 - SH ER0 +DOESN'T D AH1 - Z AH0 N T +DOESN'T(2) D AH1 - Z AH0 N +DOETSCH D OW1 CH +DOFASCO D AH0 - F AE1 - S K OW0 +DOFF D AO1 F +DOFFING D AO1 - F IH0 NG +DOFFS D AO1 F S +DOG D AO1 G +DOG'S D AO1 G Z +DOGAN D OW1 - G AH0 N +DOGBANE D AO1 G - B EY2 N +DOGBERRY D AO1 G - B EH2 - R IY0 +DOGE D OW1 JH +DOGFIGHT D AA1 G - F AY2 T +DOGFIGHTS D AO1 G - F AY2 T S +DOGFISH D AO1 G - F IH2 SH +DOGGED D AO1 G D +DOGGEDLY D AO1 - G AH0 D - L IY0 +DOGGEREL D AA1 - G ER0 - AH0 L +DOGGETT D AA1 - G IH0 T +DOGGIE D AO1 - G IY0 +DOGGIES D AO1 - G IY0 Z +DOGGING D AO1 - G IH0 NG +DOGGONE D AO1 - G AO0 N +DOGGY D AO1 - G IY0 +DOGGY'S D AO1 - G IY0 Z +DOGHOUSE D AO1 G - HH AW2 S +DOGLE D OW1 - G AH0 L +DOGLE(2) D AA1 - G AH0 L +DOGLIKE D AO1 G - L AY2 K +DOGMA D AA1 G - M AH0 +DOGMATIC D AA0 G - M AE1 - T IH0 K +DOGMATIC(2) D AO0 G - M AE1 - T IH0 K +DOGMATICALLY D AA0 G - M AE1 - T IH0 K - L IY0 +DOGMATISM D AA1 G - M AH0 - T IH2 - Z AH0 M +DOGS D AA1 G Z +DOGS' D AO1 G Z +DOGS(2) D AO1 G Z +DOGWOOD D AO1 G - W UH2 D +DOGWOODS D AO1 G - W UH2 D Z +DOH D OW1 +DOHENY D AA1 - HH IH0 - N IY0 +DOHERTY D OW1 - ER0 - T IY0 +DOHERTY(2) D AO1 R - T IY0 +DOHERTY(3) D AA1 - HH ER0 - T IY0 +DOHM D AA1 M +DOHMAN D OW1 - M AH0 N +DOHME D OW1 M +DOHMEN D OW1 - M EH0 N +DOHN D AA1 N +DOHNANYI D OW2 - N AA1 N - Y IY0 +DOHNER D OW1 - N ER0 +DOHR D AO1 R +DOHRMAN D AO1 R - M AH0 N +DOHRMANN D AO1 R - M AH0 N +DOHSE D OW1 S +DOI D OY1 +DOIDGE D OY1 JH +DOIG D OY1 G +DOILIES D OY1 - L IY0 Z +DOILY D OY1 - L IY0 +DOIN' D UW1 - IH0 N +DOING D UW1 - IH0 NG +DOINGS D UW1 - IH0 NG Z +DOIRON D OY0 - R AO1 N +DOKE D OW1 K +DOKEY D OW1 - K IY0 +DOKKEN D AA1 - K AH0 N +DOKTOR D AA1 K - T ER0 +DOL D AA1 L +DOLAK D OW1 - L AH0 K +DOLAN D OW1 - L AH0 N +DOLAND D UW1 - L AH0 N D +DOLATA D OW0 - L AA1 - T AH0 +DOLBOW D OW1 L - B OW0 +DOLBY D OW1 L - B IY0 +DOLCE D OW1 L - CH EY2 +DOLCH D OW1 L CH +DOLD D OW1 L D +DOLDER D OW1 L - D ER0 +DOLDRUM D OW1 L - D R AH0 M +DOLDRUMS D OW1 L - D R AH0 M Z +DOLE D OW1 L +DOLE'S D OW1 L Z +DOLECKI D AH0 - L EH1 T - S K IY0 +DOLED D OW1 L D +DOLEFUL D OW1 L - F AH0 L +DOLEN D OW1 - L AH0 N +DOLENCE D OW1 - L AH0 N S +DOLES D OW1 L Z +DOLES'S D OW1 L - Z IH0 Z +DOLEY D OW1 - L IY0 +DOLEZAL D OW0 - L EY0 - Z AE1 L +DOLF D OW1 L F +DOLFI D OW1 L - F IY0 +DOLGEN D OW1 L - JH EH0 N +DOLGIN D OW1 L - JH IH0 N +DOLIN D OW1 - L IH0 N +DOLINAR D AA1 - L IH0 - N ER0 +DOLING D OW1 - L IH0 NG +DOLINGER D OW1 - L IH0 - NG ER0 +DOLINSKI D AH0 - L IH1 N - S K IY0 +DOLINSKY D AH0 - L IH1 N - S K IY0 +DOLL D AA1 L +DOLL'S D AA1 L Z +DOLLAR D AA1 - L ER0 +DOLLAR'S D AA1 - L ER0 Z +DOLLAR'S(2) D AA1 - L AH0 Z +DOLLAR'S(3) D AO1 - L ER0 Z +DOLLAR(2) D AO1 - L ER0 +DOLLARD D AA1 - L ER0 D +DOLLARHIDE D AA1 - L ER0 - HH AY2 D +DOLLARS D AA1 - L ER0 Z +DOLLARS' D AA1 - L ER0 Z +DOLLARS(2) D AO1 - L ER0 Z +DOLLE D AA1 L +DOLLED D AA1 L D +DOLLENS D AA1 - L AH0 N Z +DOLLEY D AA1 - L IY0 +DOLLHOUSE D AA1 L - HH AW2 S +DOLLHOUSES D AA1 L - HH AW2 - S IH0 Z +DOLLIE D AA1 - L IY0 +DOLLINGER D AA1 - L IH0 - NG ER0 +DOLLINS D AA1 - L IH0 N Z +DOLLISON D AA1 - L IH0 - S AH0 N +DOLLIVER D AA1 - L IH0 - V ER0 +DOLLOFF D AA1 - L AO2 F +DOLLOP D AA1 - L AH0 P +DOLLS D AA1 L Z +DOLLY D AA1 - L IY0 +DOLLY'S D AA1 - L IY0 Z +DOLMAN D AA1 L - M AH0 N +DOLNEY D OW1 L - N IY0 +DOLOMITE D OW1 - L AH0 - M AY2 T +DOLOMITE'S D OW1 - L AH0 - M AY2 T S +DOLOMITES D OW1 - L AH0 - M AY2 T S +DOLORES D AH0 - L AO1 - R IH0 S +DOLORITA D OW0 - L AO0 - R IY1 - T AH0 +DOLPH D OW1 L F +DOLPHIN D AA1 L - F AH0 N +DOLPHINS D AA1 L - F AH0 N Z +DOLPHINS' D AA1 L - F AH0 N Z +DOLS D AA1 L Z +DOLSON D OW1 L - S AH0 N +DOLTON D OW1 L - T AH0 N +DOM D AA1 M +DOMAGALA D OW0 - M AA0 - G AA1 - L AH0 +DOMAGALSKI D AH0 - M AH0 - G AA1 L S - K IY0 +DOMAIN D OW0 - M EY1 N +DOMAINE D OW0 - M EY1 N +DOMAINS D OW0 - M EY1 N Z +DOMAN D UW1 - M AH0 N +DOMANGUE D OW1 - M AA0 NG +DOMANICO D OW0 - M AA0 - N IY1 - K OW0 +DOMANSKI D AH0 - M AE1 N - S K IY0 +DOMAS D OW1 - M AH0 S +DOMBECK D AA1 M - B EH2 K +DOMBEK D AA1 M - B IH0 K +DOMBKOWSKI D AH0 M - K AO1 F S - K IY0 +DOMBROSKI D AH0 M - B R AW1 S - K IY0 +DOMBROSKY D AH0 M - B R OW1 S - K IY0 +DOMBROWSKI D AH0 M - B R AO1 F S - K IY0 +DOME D OW1 M +DOME'S D OW1 M Z +DOMECQ D OW2 - M EH1 K +DOMED D OW1 M D +DOMEIER D AA1 - M AY0 - ER0 +DOMEK D OW1 - M EH0 K +DOMENECH D AA1 - M IH0 - N IH0 K +DOMENICI D AH0 - M EH1 - N AH0 - CH IY0 +DOMENICI'S D AH0 - M EH1 - N AH0 - CH IY0 Z +DOMENICI'S(2) D OW0 - M IH1 - N IY0 - CH IY0 Z +DOMENICI'S(3) D OW0 - M EH1 - N IY0 - CH IY0 Z +DOMENICI(2) D OW0 - M IH1 - N IY0 - CH IY0 +DOMENICI(3) D OW0 - M EH1 - N IY0 - CH IY0 +DOMENICK D AA1 - M IH0 - N IH0 K +DOMENICO D OW0 - M EY1 - N IY0 - K OW0 +DOMENICONI D OW0 - M EH2 - N IH0 - K OW1 - N IY0 +DOMER D OW1 - M ER0 +DOMES D OW1 M Z +DOMESTIC D AH0 - M EH1 - S T IH0 K +DOMESTICALLY D AH0 - M EH1 - S T IH0 K - L IY0 +DOMESTICATE D AH0 - M EH1 - S T AH0 - K EY2 T +DOMESTICATED D AH0 - M EH1 - S T AH0 - K EY2 - T AH0 D +DOMESTICATING D AH0 - M EH1 - S T AH0 - K EY2 - T IH0 NG +DOMESTICATION D AH0 - M EH2 - S T AH0 - K EY1 - SH AH0 N +DOMESTICITY D OW2 - M EH2 - S T IH1 - S AH0 - T IY0 +DOMESTICS D AH0 - M EH1 - S T IH0 K S +DOMICAL D AA1 - M AH0 - K AH0 L +DOMICO D OW1 - M AH0 - K OW0 +DOMIN D OW1 - M IH0 N +DOMINA D OW0 - M IY1 - N AH0 +DOMINANCE D AA1 - M AH0 - N AH0 N S +DOMINANT D AA1 - M AH0 - N AH0 N T +DOMINATE D AA1 - M AH0 - N EY2 T +DOMINATED D AA1 - M AH0 - N EY2 - T AH0 D +DOMINATES D AA1 - M AH0 - N EY2 T S +DOMINATING D AA1 - M AH0 - N EY2 - T IH0 NG +DOMINATION D AA2 - M AH0 - N EY1 - SH AH0 N +DOMINE D OW0 - M IY1 - N IY0 +DOMINEE D OW1 - M IH0 - N EY2 +DOMINEER D AA2 - M AH0 - N IH1 R +DOMINEERING D AA2 - M AH0 - N IH1 - R IH0 NG +DOMINELLI D OW2 - M IH0 - N EH1 - L IY0 +DOMINELLI'S D OW2 - M IH0 - N EH1 - L IY0 Z +DOMINELLI'S(2) D AA2 - M IH0 N - EH1 - L IY0 Z +DOMINELLI(2) D AA2 - M IH0 - N EH1 - L IY0 +DOMINEY D AA1 - M IH0 - N IY0 +DOMINGO D OW0 - M IH1 NG - G OW0 +DOMINGO(2) D AH0 - M IH1 NG - G OW0 +DOMINGOS D AH0 - M IH1 NG - G OW0 Z +DOMINGUE D OW1 - M IH0 NG +DOMINGUES D OW0 - M IY1 N - G EH0 S +DOMINGUEZ D AH0 - M IH1 - NG IH0 Z +DOMINI D AA1 - M IH0 - N IY0 +DOMINIAK D AH0 - M IH1 - N IY0 - AE0 K +DOMINIC D AA1 - M AH0 - N IH0 K +DOMINIC'S D AA1 - M AH0 - N IH0 K S +DOMINICA D AH0 - M IH1 - N IH0 - K AH0 +DOMINICAN D AH0 - M IH1 - N AH0 - K AH0 N +DOMINICANA D OW0 - M IH2 - N IH0 - K AA1 - N AH0 +DOMINICANA(2) D OW0 - M IH2 - N IH0 - K AE1 - N AH0 +DOMINICANS D OW0 - M IH1 - N IH0 - K AH0 N Z +DOMINICI D OW0 - M IY0 - N IY1 - CH IY0 +DOMINICK D AA1 - M AH0 - N IH0 K +DOMINIK D AH0 - M IH1 - N IH0 K +DOMINION D AH0 - M IH1 - N Y AH0 N +DOMINION'S D AH0 - M IH1 - N Y AH0 N Z +DOMINIQUE D AO0 - M IH0 - N IY1 K +DOMINO D AA1 - M AH0 - N OW2 +DOMINO'S D AA1 - M IH0 - N OW2 Z +DOMINO(2) D AA1 - M IH0 - N OW2 +DOMINOES D AA1 - M AH0 - N OW2 Z +DOMINOS D AA1 - M IH0 - N OW2 Z +DOMINQUEZ D OW0 - M IY1 N - K W EH0 Z +DOMINSKI D AH0 - M IH1 N - S K IY0 +DOMINUS D OW0 - M IY1 - N AH0 S +DOMINY D AH0 - M AY1 - N IY0 +DOMKE D AA1 M K +DOMMER D AA1 - M ER0 +DOMMIE D AA1 - M IY0 +DOMOLING D AA1 - M AO0 - L IH0 NG +DOMTAR D AA1 M - T ER0 +DOMTAR'S D AA1 M - T ER0 Z +DOMZALSKI D AH0 M - Z AA1 L S - K IY0 +DON D AA1 N +DON'S D AA1 N Z +DON'T D OW1 N T +DON'T(2) D OW1 N +DON'TS D OW1 N T S +DON'TS(2) D OW1 N S +DONA D OW1 - N AH0 +DONADIO D OW0 - N AA1 - D IY0 - OW0 +DONAGHEY D AA1 - N AH0 G - HH IY0 +DONAGHUE D AA1 - N AH0 - HH UW0 +DONAGHY D AA1 - N AH0 G - HH IY0 +DONAHEY D AA1 - N AH0 - HH IY0 +DONAHO D OW0 - N AA1 - HH OW0 +DONAHOE D AA1 - N AH0 - HH OW2 +DONAHOO D AA1 - N AH0 - HH UW2 +DONAHUE D AA1 - N AH0 - HH Y UW2 +DONAHUE(2) D AA1 - N AH0 - Y UW2 +DONAIS D AH0 - N EY1 +DONALD D AA1 - N AH0 L D +DONALD'S D AA1 - N AH0 L D Z +DONALDA D OW0 - N AA1 L - D AH0 +DONALDO D OW0 - N AA1 L - D OW0 +DONALDO'S D OW0 - N AA1 L - D OW0 Z +DONALDSON D AA1 - N AH0 L D - S AH0 N +DONALDSON'S D AA1 - N AH0 L D - S AH0 N Z +DONALDSONS D AA1 - N AH0 L D - S AH0 N Z +DONALSON D AA1 - N AH0 L - S AH0 N +DONAPRIA D AH0 - N AE1 - P R IY0 - AH0 +DONAR D AA1 - N ER0 +DONAT D OW1 - N AH0 T +DONATA D AH0 - N AA1 - T AH0 +DONATE D OW1 - N EY2 T +DONATED D OW1 - N EY2 - T AH0 D +DONATED(2) D OW1 - N EY2 - T IH0 D +DONATELLI D OW0 - N AA0 - T EH1 - L IY0 +DONATES D OW1 - N EY2 T S +DONATH D AA1 - N AH0 TH +DONATHAN D AA1 - N AH0 - TH AH0 N +DONATI D OW0 - N AA1 - T IY0 +DONATING D OW1 - N EY2 - T IH0 NG +DONATION D OW0 - N EY1 - SH AH0 N +DONATIONS D OW0 - N EY1 - SH AH0 N Z +DONATISTS D AA1 - N AH0 - T AH0 S T S +DONATISTS(2) D AA1 - N AH0 - T AH0 S S +DONATISTS(3) D AA1 - N AH0 - T AH0 S +DONATO D AH0 - N AA1 - T OW0 +DONAVAN D AA1 - N AH0 - V AE2 N +DONAWAY D AA1 N - AH0 - W EY2 +DONDE D AA1 N D +DONDERO D OW0 N - D EH1 - R OW0 +DONDLINGER D AA1 N - D AH0 L - IH0 - NG ER0 +DONDLINGER(2) D AA1 N D - L IH0 - NG ER0 +DONE D AH1 N +DONEGAN D AA1 - N IH0 - G AE0 N +DONEHOO D OW0 - N EY1 - HH UW0 +DONELAN D AA1 - N IH0 - L AE0 N +DONELLA D OW0 - N EH1 - L AH0 +DONELSON D AA1 - N IH0 L - S AH0 N +DONER D AO1 - N ER0 +DONES D AH1 N Z +DONEY D AA1 - N IY0 +DONG D AO1 NG +DONG(2) D AO1 NG G +DONGEN D AO1 NG - G AH0 N +DONGMEI D OW1 NG - M AY1 +DONHAM D AA1 N - HH AH0 M +DONIA D OW1 - N IY0 - AH0 +DONICA D AA1 - N IH0 - K AH0 +DONIGAN D AA1 - N IH0 - G AH0 N +DONIGER D AA1 - N IH0 - G ER0 +DONILON D AA1 - N AH0 - L AA0 N +DONIS D OW1 - N IH0 S +DONIZETTI D AA2 - N AH0 - Z EH1 - T IY0 +DONIZETTI'S D AA2 - N IH0 - Z EH1 - T IY0 Z +DONKEY D AA1 NG - K IY0 +DONKEY(2) D AO1 NG - K IY0 +DONKEYS D AA1 NG - K IY0 Z +DONLAN D AA1 N - L AH0 N +DONLEY D AA1 N - L IY0 +DONLIN D AA1 N - L IH0 N +DONLON D AA1 N - L AH0 N +DONMOYER D AA1 N - M OY2 - ER0 +DONN D AA1 N +DONNA D AA1 - N AH0 +DONNA'S D AA1 - N AH0 Z +DONNAN D AA1 - N AH0 N +DONNAS D AA1 - N AH0 Z +DONNAY D AA1 - N EY0 +DONNE D AH1 N +DONNED D AA1 N D +DONNELL D AA1 - N IH0 L +DONNELLAN D AA1 - N IH0 - L AE0 N +DONNELLEY D AA1 - N AH0 - L IY0 +DONNELLEY'S D AA1 N - AH0 - L IY0 Z +DONNELLEY'S(2) D AA1 N - EH0 - L IY0 Z +DONNELLEY(2) D AA1 - N EH0 - L IY0 +DONNELLY D AA1 - N AH0 - L IY0 +DONNELLY'S D AA1 N - AH0 - L IY0 Z +DONNELLY'S(2) D AA1 N - EH0 - L IY0 Z +DONNELLY(2) D AA1 - N EH0 - L IY0 +DONNER D AA1 - N ER0 +DONNIE D AA1 - N IY0 +DONNING D AA1 - N IH0 NG +DONNY D AA1 - N IY0 +DONNYBROOK D AA1 - N IY0 - B R UH2 K +DONOFRIO D OW0 - N OW1 - F R IY0 - OW0 +DONOGHUE D AA1 - N AH0 - HH Y UW0 +DONOGHUE'S D AA1 - N AH0 - HH Y UW0 Z +DONOGHUE'S(2) D AA1 - N AH0 - Y UW0 Z +DONOGHUE(2) D AA1 - N AH0 - Y UW0 +DONOHO D AA1 - N AH0 - HH OW0 +DONOHOE D AA1 - N AH0 - HH OW0 +DONOHOO D AA1 - N AH0 - HH UW2 +DONOHUE D AA1 - N AH0 - HH Y UW2 +DONOHUE'S D AA1 - N AH0 - HH Y UW2 Z +DONOHUE'S(2) D AA1 - N AH0 - Y UW2 Z +DONOHUE(2) D AA1 - N AH0 - Y UW0 +DONOR D OW1 - N ER0 +DONOR'S D OW1 - N ER0 Z +DONORS D OW1 - N ER0 Z +DONORS' D OW1 - N ER0 Z +DONOVAN D AA1 - N AH0 - V AH0 N +DONOVAN'S D AA1 - N AH0 - V AH0 N Z +DONS D AA1 N Z +DONSBACH D AA1 N Z - B AA2 K +DONUT D OW1 - N AH2 T +DONUTS D OW1 - N AH2 T S +DONUTS' D OW1 - N AH2 T S +DONVAN D AA1 N - V AH0 N +DONVAN'S D AA1 N - V AH0 N Z +DONZE D AA1 N Z +DOO D UW1 +DOODAD D UW1 - D AE2 D +DOODADS D UW1 - D AE2 D Z +DOODLE D UW1 - D AH0 L +DOODLES D UW1 - D AH0 L Z +DOODY D UW1 - D IY0 +DOOGIE D UW1 - G IY0 +DOOLAN D UW1 - L AH0 N +DOOLEN JH UW1 - L AH0 N +DOOLEY D UW1 - L IY0 +DOOLIN D UW1 - L IH0 N +DOOLING D UW1 - L IH0 NG +DOOLITTLE D UW1 - L IH2 - T AH0 L +DOOM D UW1 M +DOOMED D UW1 M D +DOOMING D UW1 - M IH0 NG +DOOMS D UW1 M Z +DOOMSAYER D UW2 M - S EY1 - ER0 +DOOMSAYERS D UW2 M - S EY1 - ER0 Z +DOOMSAYING D UW2 M - S EY1 - IH0 NG +DOOMSDAY D UW1 M Z - D EY2 +DOONAN D UW1 - N AH0 N +DOONER D UW1 - N ER0 +DOONESBURY D UW1 N Z - B EH2 - R IY0 +DOOR D AO1 R +DOOR'S D AO1 R Z +DOORBELL D AO1 R - B EH2 L +DOORDARSHAN D UW2 R - D AA1 R - SH AH0 N +DOORENBOS D UH1 - R EH0 N - B OW1 S +DOORKEEPER D AO1 R - K IY2 - P ER0 +DOORKNOB D UW1 R - N AA0 B +DOORKNOBS D UW1 R - N AA0 B Z +DOORMAN D AO1 R - M AE2 N +DOORMAT D AO1 R - M AE2 T +DOORMATS D AO1 R - M AE2 T S +DOORN D AO1 R N +DOORNAIL D AO1 R - N EY2 L +DOORNBOS D AO1 R N - B OW0 Z +DOORS D AO1 R Z +DOORSILL D AO1 R - S IH0 L +DOORSTEP D AO1 R - S T EH2 P +DOORSTEPS D AO1 R - S T EH2 P S +DOORWAY D AO1 R - W EY2 +DOORWAYS D AO1 R - W EY2 Z +DOOSE D UW1 S +DOOZY D UW1 - Z IY0 +DOPA D OW1 - P AH0 +DOPAMINE D AA1 - P AH0 - M AY2 N +DOPE D OW1 P +DOPED D OW1 P T +DOPEY D OW1 - P IY0 +DOPP D AA1 P +DOPPLER D AA1 P - L ER0 +DOPSON D AA1 P - S AH0 N +DORA D AO1 - R AH0 +DORADO D AO0 - R AA1 - D OW0 +DORAIS D ER0 - EY1 +DORAL D AO0 - R AE1 L +DORALIN D AO0 - R AA0 - L IY1 N +DORALYNNE D AO1 - R AH0 - L AY0 N +DORAN D AO0 - R AE1 N +DORAVILLE D AO1 - R AH0 - V IH0 L +DORAZIO D AO0 - R AA1 - Z IY0 - OW0 +DORAZIO(2) D AO0 - R EY1 - Z IY0 - OW0 +DORCAS D AO1 R - K AH0 S +DORCH D AO1 R K +DORCHESTER D AO1 R - CH EH2 - S T ER0 +DORDIES D AO1 R - D IY0 Z +DORE D AO1 R +DOREA D AO1 - R IY0 - AH0 +DOREEN D AO0 - R IY1 N +DORELIA D AO0 - R EH1 - L IY0 - AH0 +DOREMUS D AO1 - R IH0 - M IH0 S +DOREN D AO1 - R AH0 N +DORENA D AO1 - R IH0 - N AH0 +DORENE D AO1 - R IY0 N +DORER D AO1 - R ER0 +DORETTE D ER0 - EH1 T +DORETTI D AO0 - R EH1 - T IY0 +DOREY D AO1 - R IY0 +DORF D AO1 R F +DORFF D AO1 R F +DORFMAN D AO1 R F - M AH0 N +DORGAN D AO1 R - G AH0 N +DORGAN'S D AO1 R - G AH0 N Z +DORI D AO1 - R IY0 +DORIA D AO1 - R IY0 - AH0 +DORIAN D AO1 - R IY0 - AH0 N +DORIANS D AO1 - R IY0 - AH0 N Z +DORIC D AO1 - R IH0 K +DORICE D AO1 - R IH0 S +DORIE D AO1 - R IY0 +DORIN D AO1 - R IH0 N +DORINDA D AO0 - R IY1 N - D AH0 +DORINE D AO0 - R IY1 - N IY0 +DORING D AO1 - R IH0 NG +DORIO D AO1 - R IY0 - OW0 +DORION D AO0 - R IY0 - AO1 N +DORIS D AO1 - R AH0 S +DORIS(2) D AO1 - R IH0 S +DORIS(3) D AA1 - R AH0 S +DORIS(4) D AA1 - R IH0 S +DORISE D AO1 - R AY0 Z +DORITOS D AO2 - R IY1 - T OW0 Z +DORITY D AO1 - R IH0 - T IY0 +DORKO D AO1 R - K OW0 +DORLAND D AO1 R - L AH0 N D +DORM D AO1 R M +DORMAN D AO1 R - M AH0 N +DORMANCY D AO1 R - M AH0 N - S IY0 +DORMANT D AO1 R - M AH0 N T +DORMER D AO1 R - M ER0 +DORMINEY D AO1 R - M IH0 - N IY0 +DORMITORIES D AO1 R - M AH0 - T AO2 - R IY0 Z +DORMITORY D AO1 R - M AH0 - T AO2 - R IY0 +DORMOUSE D AO1 R - M AW2 S +DORMS D AO1 R M Z +DORN D AO1 R N +DORNAK D AO1 R - N AH0 K +DORNAM D AO1 R - N AH0 M +DORNAN D AO1 R - N IH0 N +DORNAN'S D AO1 R - N IH0 N Z +DORNBUSCH D AO1 R N - B UH0 SH +DORNBUSH D AO1 R N - B UH0 SH +DORNER D AO1 R - N ER0 +DORNEY D AO1 R - N IY0 +DORNFELD D AO1 R N - F EH0 L D +DORNHENS D AO1 R N - HH EH0 N Z +DORNIER D AO2 R - N IH1 R +DORNIN D AO1 - N IH0 N +DORO D AO1 - R OW0 +DORON D AO1 - R AH0 N +DOROTEA D AO1 - R AH0 - SH AH0 +DOROTEA(2) D AO1 - R AH0 - T EY0 - AH0 +DOROTHEA D AO2 - R AH0 - TH IY1 - AH0 +DOROTHY D AO1 - R AH0 - TH IY0 +DOROTHY'S D AO1 - R AH0 - TH IY0 Z +DOROTHY'S(2) D AO1 R - TH IY0 Z +DOROTHY(2) D AO1 R - TH IY0 +DOROUGH D AO1 - R AW0 +DOROW D AO1 - R OW0 +DORR D AO1 R +DORRANCE D AO1 - R AH0 N S +DORRELL D AO0 - R EY1 L +DORRIE D AO1 - R IY0 +DORRIES D AO1 - R IY0 Z +DORRIS D AO1 - R IH0 S +DORROH D AO1 - R OW0 +DORROUGH D AO1 - R AW0 +DORSA D AO1 R - S AH0 +DORSAL D AO1 R - S AH0 L +DORSALLY D AO1 R - S AH0 - L IY0 +DORSCH D AO1 R SH +DORSET D AO1 R - S IH0 T +DORSETT D AO1 R - S IH0 T +DORSEY D AO1 R - S IY0 +DORSI D AO1 R - S IY0 +DORST D AO1 R S T +DORT D AO1 R T +DORTA D AO1 R - T AH0 +DORTCH D AO1 R CH +DORTHEA D AO1 R - DH IY0 - AH0 +DORTHY D AO1 R - TH IY0 +DORTMUND D AO1 R T - M AH0 N D +DORTON D AO1 R - T AH0 N +DORVAL D AO1 R - V AH0 L +DORWARD D AO1 R - W ER0 D +DORWART D AO1 R - W AO0 R T +DORY D AO1 - R IY0 +DOS D AO1 S +DOS(2) D OW1 S +DOSAGE D OW1 - S AH0 JH +DOSAGE(2) D OW1 - S IH0 JH +DOSAGES D OW1 - S IH0 - JH IH0 Z +DOSCH D AO1 SH +DOSCHER D AO1 - SH ER0 +DOSE D OW1 S +DOSER D OW1 - S ER0 +DOSES D OW1 - S AH0 Z +DOSES(2) D OW1 - S IH0 Z +DOSH D AA1 SH +DOSHER D AA1 - SH ER0 +DOSHI D OW1 - SH IY0 +DOSHIER D AA1 - SH IY0 - ER0 +DOSIA D OW1 - S IY0 - AH0 +DOSIE D AA1 - S IY0 +DOSIER D OW1 - S IY0 - ER0 +DOSIMETERS D OW0 - S IH1 - M AH0 - T ER0 Z +DOSING D OW1 - S IH0 NG +DOSKOCIL D AO1 - S K AH0 - S IH0 L +DOSPASOS D OW0 - S P AE1 - S OW0 S +DOSPASOS' D OW0 - S P AE1 - S OW0 S +DOSS D AO1 S +DOSSANTOS D OW0 - S AA1 N - T OW0 Z +DOSSETT D AA1 - S IH0 T +DOSSEY D AA1 - S IY0 +DOSSIER D AO2 - S Y EY1 +DOSSIER(2) D AO2 - S IY0 - EY1 +DOSSIERS D AO2 - S Y EY1 Z +DOSSIERS(2) D AO2 - S IY0 - EY1 Z +DOST D AA1 S T +DOSTAL D AA1 - S T AH0 L +DOSTER D AA1 - S T ER0 +DOSTIE D AA1 - S T IY0 +DOSTOEVSKI D AO2 - S T OW1 V - S K IY0 +DOSTOEVSKY D AO2 - S T OW1 V - S K IY0 +DOSTOEVSKY(2) D AO0 - S T OY0 - EH1 V S - K IY0 +DOSTOEVSKY(3) D AO0 - S T OY0 - EH1 F S - K IY0 +DOSWELL D AA1 S - W EH0 L +DOT D AA1 T +DOTAN D OW1 - T AH0 N +DOTE D OW1 T +DOTEN D OW1 - T AH0 N +DOTH D AO1 TH +DOTHAN D AA1 - TH AH0 N +DOTING D OW1 - T IH0 NG +DOTO D OW1 - T OW0 +DOTS D AA1 T S +DOTSON D AA1 T - S AH0 N +DOTT D AA1 T +DOTTAVIO D OW0 - T AA1 - V IY0 - OW0 +DOTTED D AA1 - T AH0 D +DOTTED(2) D AA1 - T IH0 D +DOTTER D AA1 - T ER0 +DOTTERER D AA1 - T ER0 - ER0 +DOTTIE D AA1 - T IY0 +DOTTING D AA1 - T IH0 NG +DOTTS D AA1 T S +DOTTY D AA1 - T IY0 +DOTY D OW1 - T IY0 +DOTZLER D AA1 T S - L ER0 +DOUB D AW1 B +DOUBEK D AW1 - B IH0 K +DOUBET D AW1 - B IH0 T +DOUBLE D AH1 - B AH0 L +DOUBLE-ENTENDRE D AH1 - B AH0 L - AA0 N - T AA1 N - D R AH0 +DOUBLED D AH1 - B AH0 L D +DOUBLEDAY D AH1 - B AH0 L - D EY2 +DOUBLES D AH1 - B AH0 L Z +DOUBLESPEAK D AH1 - B AH0 L - S P IY2 K +DOUBLETHINK D AH1 - B AH0 L - TH IH2 NG K +DOUBLETREE D AH1 - B AH0 L - T R IY2 +DOUBLING D AH1 - B AH0 L - IH0 NG +DOUBLING(2) D AH1 - B L IH0 NG +DOUBLY D AH1 - B L IY0 +DOUBRAVA D AW1 - B R AH0 - V AH0 +DOUBT D AW1 T +DOUBTED D AW1 - T IH0 D +DOUBTER D AW1 - T ER0 +DOUBTERS D AW1 - T ER0 Z +DOUBTFIRE D AW1 T - F AY1 - ER0 +DOUBTFIRE'S D AW1 T - F AY1 - ER0 Z +DOUBTFIRES D AW1 T - F AY1 - ER0 Z +DOUBTFUL D AW1 T - F AH0 L +DOUBTING D AW1 - T IH0 NG +DOUBTLESS D AW1 T - L AH0 S +DOUBTS D AW1 T S +DOUCET D UW0 - S EH1 T +DOUCETTE D UW1 - S EH1 T +DOUD D AW1 D +DOUDNA D AW1 D - N AH0 +DOUDS D AW1 D Z +DOUG D AH1 G +DOUG'S D AH1 G Z +DOUGAL D UW1 - G AH0 L +DOUGALL D AW1 - G AH0 L +DOUGALL(2) D UW1 - G AH0 L +DOUGAN D AW1 - G AH0 N +DOUGAN(2) D UW1 - G AH0 N +DOUGANS D AW1 - G AH0 N +DOUGANS(2) D UW1 - G AH0 N +DOUGENS D AW1 - G AH0 N Z +DOUGENS(2) D UW1 - G AH0 N Z +DOUGH D OW1 +DOUGHBOY D OW1 - B OY2 +DOUGHER D OW1 - ER0 +DOUGHERTY D OW1 - ER0 - T IY0 +DOUGHERTY(2) D AA1 - G ER0 - T IY0 +DOUGHMAN D OW1 - M AH0 N +DOUGHNUT D OW1 - N AH2 T +DOUGHNUTS D OW1 - N AH2 T S +DOUGHTEN D AO1 - T AH0 N +DOUGHTIE D AO1 - T IY0 +DOUGHTY D AO1 - T IY0 +DOUGHY D OW1 - IY0 +DOUGIE D UW1 - G IY0 +DOUGIE'S D UW1 - G IY0 Z +DOUGL D UW1 - G AH0 L +DOUGLAS D AH1 G - L AH0 S +DOUGLAS' D AH1 G - L AH0 S +DOUGLAS'S D AH1 G - L AH0 - S IH0 Z +DOUGLASS D AH1 G - L AH0 - S IH0 Z +DOUKAS D AW1 - K AH0 Z +DOULTON D OW1 L - T AH0 N +DOUMA D OW1 - M AH0 +DOUPE D UW1 P +DOUR D AW1 - ER0 +DOUR(2) D AW1 R +DOUSE D AW1 S +DOUSED D AW1 S T +DOUSING D AW1 - S IH0 NG +DOUTHAT D AW1 - TH AH0 T +DOUTHETT D AW1 - TH IH0 T +DOUTHIT D UW0 - TH IH1 T +DOUTHITT D UW0 - TH IH1 T +DOUTT D AW1 T +DOUTY D AW1 - T IY0 +DOUVILLE D UW0 - V IH1 L +DOUWE D UW1 +DOV D AA1 V +DOVE D AH1 V +DOVE(2) D OW1 V +DOVEL D OW0 - V EH1 L +DOVER D OW1 - V ER0 +DOVER'S D OW1 - V ER0 Z +DOVERSPIKE D AH0 - V ER1 - S P IH0 K +DOVES D AH1 V Z +DOVETAIL D AH1 V - T EY2 L +DOVETAILED D AH1 V - T EY2 L D +DOVETAILS D AH1 V - T EY2 L Z +DOVEY D AH0 - V EY1 +DOVIDIO D OW0 - V IY1 - D IY0 - OW0 +DOVISH D OW1 - V IH0 SH +DOVISH(2) D AH1 - V IH0 SH +DOW D AW1 +DOW'S D AW1 Z +DOWAGER D AW1 - AH0 - JH ER0 +DOWD D AW1 D +DOWDA D AW1 - D AH0 +DOWDALL D AW1 - D AH0 L +DOWDELL D AW1 - D AH0 L +DOWDEN D AW1 - D AH0 N +DOWDING D AW1 - D IH0 NG +DOWDLE D AW1 - D AH0 L +DOWDS D AW1 D Z +DOWDY D AW1 - D IY0 +DOWE D AW1 +DOWEL D AW1 - AH0 L +DOWELL D AA1 - W EH0 L +DOWELS D AW1 - AH0 L Z +DOWEN D AW1 - AH0 N +DOWER D AW1 R +DOWERS D AW1 R Z +DOWIE D AW1 - IY0 +DOWIS D AW1 - IH0 S +DOWLAND D AW1 - L AH0 N D +DOWLEN D AW1 - L AH0 N +DOWLER D AW1 - L ER0 +DOWLESS D AW1 - L AH0 S +DOWLING D AW1 - L IH0 NG +DOWN D AW1 N +DOWN'S D AW1 N Z +DOWNARD D AW1 - N ER0 D +DOWNBEAT D AW0 N - B IY1 T +DOWNCAST D AW1 N - K AE2 S T +DOWNDRAFT D AW1 N - D R AE2 F T +DOWNE D AW1 N +DOWNED D AW1 N D +DOWNEN D AW1 - N AH0 N +DOWNER D AW1 - N ER0 +DOWNERS D AW1 - N ER0 Z +DOWNES D AW1 N Z +DOWNES'S D AW1 N - Z IH0 Z +DOWNEY D AW1 - N IY0 +DOWNEY'S D AW1 - N IY0 Z +DOWNFALL D AW1 N - F AO2 L +DOWNGRADE D AW1 N - G R EY1 D +DOWNGRADED D AW1 N - G R EY1 - D AH0 D +DOWNGRADES D AW1 N - G R EY1 D Z +DOWNGRADING D AW1 N - G R EY1 - D IH0 NG +DOWNGRADINGS D AW1 N - G R EY2 - D IH0 NG Z +DOWNHAM D AW1 N - HH AH0 M +DOWNHILL D AW1 N - HH IH1 L +DOWNIE D AW1 - N IY0 +DOWNING D AW1 - N IH0 NG +DOWNINGTOWN D AW1 - N IH0 NG - T AW2 N +DOWNLOAD D AW1 N - L OW2 D +DOWNLOADED D AW1 N - L OW2 - D IH0 D +DOWNLOADING D AW1 N - L OW2 - D IH0 NG +DOWNPAYMENT D AW2 N - P EY1 - M AH0 N T +DOWNPLAY D AW1 N - P L EY2 +DOWNPLAYED D AW1 N - P L EY2 D +DOWNPLAYING D AW1 N - P L EY2 - IH0 NG +DOWNPLAYS D AW1 N - P L EY2 Z +DOWNPOUR D AW1 N - P AO0 R +DOWNPOURS D AW1 N - P AO2 R Z +DOWNRANGE D AW1 N - R EY1 N JH +DOWNRIGHT D AW1 N - R AY2 T +DOWNRIVER D AW2 N - R IH1 - V ER0 +DOWNS D AW1 N Z +DOWNSCALE D AW1 N - S K EY2 L +DOWNSIDE D AW1 N - S AY2 D +DOWNSIDES D AW1 N - S AY2 D Z +DOWNSIZE D AW1 N - S AY2 Z +DOWNSIZED D AW1 N - S AY2 Z D +DOWNSIZING D AW1 N - S AY2 - Z IH0 NG +DOWNSIZINGS D AW1 N - S AY2 - Z IH0 NG Z +DOWNSTAGE D AW1 N - S T EY2 JH +DOWNSTAIRS D AW1 N - S T EH1 R Z +DOWNSTATE D AW1 N - S T EY2 T +DOWNSTREAM D AW1 N - S T R IY1 M +DOWNSWING D AW1 N - S W IH2 NG +DOWNTIME D AW1 N - T AY2 M +DOWNTOWN D AW1 N - T AW1 N +DOWNTOWNS D AW1 N - T AW1 N Z +DOWNTREND D AW1 N - T R EH2 N D +DOWNTRODDEN D AW2 N - T R AA1 - D AH0 N +DOWNTURN D AW1 N - T ER2 N +DOWNTURNS D AW1 N - T ER2 N Z +DOWNUM D AW1 - N AH0 M +DOWNWARD D AW1 N - W ER0 D +DOWNWARDLY D AW1 N - W ER0 D - L IY0 +DOWNWARDS D AW1 N - W ER0 D Z +DOWNWIND D AW0 N - W IH1 N D +DOWNY D AW1 - N IY0 +DOWRY D AW1 - R IY0 +DOWSE D AW1 S +DOWSING D AW1 - S IH0 NG +DOWSMAN D AW1 Z - M AH0 N +DOWTY D AW1 - T IY0 +DOXEY D AA1 K - S IY0 +DOXIE D AA1 K - S IY0 +DOXOLOGIES D AA0 K - S AA1 - L AH0 - JH IY0 Z +DOXOLOGY D AA0 K - S AA1 - L AH0 - JH IY0 +DOXTATER D AA1 K - S T EY0 - T ER0 +DOXY D AA1 K - S IY0 +DOYAL D OY0 - AA1 L +DOYEL D OY1 - AH0 L +DOYEN D OY1 - IH0 N +DOYLE D OY1 L +DOYLE'S D OY1 L Z +DOYON D OY1 - AH0 N +DOZE D OW1 Z +DOZED D OW1 Z D +DOZEN D AH1 - Z AH0 N +DOZENS D AH1 - Z AH0 N Z +DOZES D OW1 - Z IH0 Z +DOZIER D OW1 - Z IY0 - ER0 +DOZING D OW1 - Z IH0 NG +DQALPHA D IY1 - K Y UW1 - AE1 L - F AH0 +DR D R AY1 V +DR(2) D AA1 K - T ER0 +DR. D R AY1 V +DR.(2) D AA1 K - T ER0 +DRAB D R AE1 B +DRABBED D R AE1 B D +DRABBLE D R AE1 - B AH0 L +DRABEK D R AE1 - B IH0 K +DRABENSTOTT D R AH0 - B EH1 N - S T AH0 T +DRABIK D R AA1 - B IH0 K +DRABINSKY D R AH0 - B IH1 N - S K IY0 +DRABKIN D R AE1 B - K IH2 N +DRABS D R AE1 B Z +DRACE D R EY1 S +DRACH D R AE1 CH +DRACHENBERG D R AE1 - K AH0 N - B ER0 G +DRACHMA D R AE1 K - M AH0 +DRACHMAS D R AA1 K - M AH0 Z +DRACKETT D R AE1 - K IH0 T +DRACO D R EY1 - K OW0 +DRACO(2) D R AE1 - K OW0 +DRACONIAN D R EY0 - K OW1 - N IY0 - AH0 N +DRACONIAN(2) D R AH0 - K OW1 - N IY0 - AH0 N +DRACULA D R AE1 - K Y UW0 - L AH0 +DRAEGER D R EH1 - G ER0 +DRAFFEN D R AE1 - F AH0 N +DRAFT D R AE1 F T +DRAFT'S D R AE1 F T S +DRAFTED D R AE1 F - T IH0 D +DRAFTEE D R AE1 F - T IY1 +DRAFTEES D R AE1 F - T IY1 Z +DRAFTER D R AE1 F - T ER0 +DRAFTERS D R AE1 F - T ER0 Z +DRAFTING D R AE1 F - T IH0 NG +DRAFTS D R AE1 F T S +DRAFTSMAN D R AE1 F T S - M AH0 N +DRAFTSMANSHIP D R AE1 F T S - M AH0 N - SH IH2 P +DRAFTSMEN D R AE1 F T S - M AH0 N +DRAFTY D R AE1 F - T IY0 +DRAG D R AE1 G +DRAGAN D R AA1 - G AH0 N +DRAGE D R EY1 JH +DRAGER D R EY1 - G ER0 +DRAGGED D R AE1 G D +DRAGGING D R AE1 - G IH0 NG +DRAGGY D R AE1 - G IY0 +DRAGLINE D R AE1 - G L AY2 N +DRAGNET D R AE1 G - N EH2 T +DRAGNETS D R AE1 G - N EH2 T S +DRAGO D R AA1 - G OW0 +DRAGON D R AE1 - G AH0 N +DRAGON'S D R AE1 - G AH0 N Z +DRAGONAIR D R AE1 - G AH0 - N EH2 R +DRAGONE D R AH0 - G OW1 N +DRAGONHEAD D R AE1 - G AH0 N - HH EH2 D +DRAGONHEART D R AE1 - G AH0 N - HH AA2 R T +DRAGONS D R AE1 - G AH0 N Z +DRAGOO D R AA1 - G UW0 +DRAGOVICH D R AE1 - G AH0 - V IH0 CH +DRAGS D R AE1 G Z +DRAHEIM D R AE1 - HH AY0 M +DRAHOS D R EY1 - HH OW0 Z +DRAHUSCHAK D R AE1 - HH AH0 - SH AE0 K +DRAHUSCHAK(2) D R AH0 - HH UW1 - SH AH0 K +DRAIN D R EY1 N +DRAINAGE D R EY1 - N AH0 JH +DRAINAGE(2) D R EY1 - N IH0 JH +DRAINE D R EY1 N +DRAINED D R EY1 N D +DRAINER D R EY1 - N ER0 +DRAINERS D R EY1 - N ER0 Z +DRAINING D R EY1 - N IH0 NG +DRAINS D R EY1 N Z +DRAKE D R EY1 K +DRAKEFORD D R AE1 K - F AO0 R D +DRAKES D R EY1 K S +DRAKOS D R EY1 - K OW0 Z +DRALLE D R EY1 L +DRAM D R AE1 M +DRAM(2) D IY1 - R AE2 M +DRAMA D R AA1 - M AH0 +DRAMAMINE D R AE1 - M AH0 - M IY2 N +DRAMAS D R AA1 - M AH0 Z +DRAMATIC D R AH0 - M AE1 - T IH0 K +DRAMATICALLY D R AH0 - M AE1 - T IH0 K - L IY0 +DRAMATICALLY(2) D R AH0 - M AE1 - T IH0 - K AH0 - L IY0 +DRAMATIST D R AA1 - M AH0 - T IH0 S T +DRAMATIZATION D R AE2 - M AH0 - T AH0 - Z EY1 - SH AH0 N +DRAMATIZATIONS D R AE2 - M AH0 - T AH0 - Z EY1 - SH AH0 N Z +DRAMATIZE D R AA1 - M AH0 - T AY2 Z +DRAMATIZE(2) D R AE1 - M AH0 - T AY2 Z +DRAMATIZED D R AE1 - M AH0 - T AY2 Z D +DRAMATIZES D R AE1 - M AH0 - T AY2 - Z IH0 Z +DRAMATIZING D R AE1 - M AH0 - T AY2 - Z IH0 NG +DRAMS D R AE1 M Z +DRAMS(2) D IY1 - R AE2 M Z +DRANE D R EY1 N +DRANEY D R EY1 - N IY0 +DRANG D R AE1 NG +DRANK D R AE1 NG K +DRANSFIELD D R AE1 N S - F IY2 L D +DRAPE D R EY1 P +DRAPEAU D R AH0 - P OW1 +DRAPED D R EY1 P T +DRAPER D R EY1 - P ER0 +DRAPERIES D R EY1 - P ER0 - IY0 Z +DRAPERY D R EY1 - P ER0 - IY0 +DRAPES D R EY1 P S +DRAPING D R EY1 - P IH0 NG +DRAPKIN D R AE1 P - K IH0 N +DRASNER D R AE1 S - N ER0 +DRASTIC D R AE1 - S T IH0 K +DRASTICALLY D R AE1 - S T IH0 K - L IY0 +DRAUGHN D R AO1 N +DRAUGHON D R AO1 - AH0 N +DRAUGHT D R AE1 F T +DRAUGHTS D R AE1 F T S +DRAUS D R AO1 Z +DRAVECKY D R AH0 - V EH1 - K IY0 +DRAVES D R EY1 V Z +DRAVIS D R AE1 - V IH0 S +DRAVO D R AE1 - V OW0 +DRAVO'S D R AE1 - V OW0 Z +DRAW D R AO1 +DRAWBACK D R AO1 - B AE2 K +DRAWBACKS D R AO1 - B AE2 K S +DRAWBAUGH D R AO1 - B AO2 +DRAWBRIDGE D R AO1 - B R IH2 JH +DRAWDOWN D R AO1 - D AW2 N +DRAWDOWNS D R AO1 - D AW2 N Z +DRAWDY D R AO1 - D IY0 +DRAWER D R AO1 R +DRAWERS D R AO1 R Z +DRAWING D R AO1 - IH0 NG +DRAWINGS D R AO1 - IH0 NG Z +DRAWL D R AO1 L +DRAWLED D R AO1 L D +DRAWLS D R AO1 L Z +DRAWN D R AO1 N +DRAWS D R AO1 Z +DRAY D R EY1 +DRAYER D R EY1 - ER0 +DRAYTON D R EY1 - T AH0 N +DRAYTON'S D R EY1 - T AH0 N Z +DREAD D R EH1 D +DREADED D R EH1 - D IH0 D +DREADFUL D R EH1 D - F AH0 L +DREADFULLY D R EH1 D - F AH0 - L IY0 +DREADING D R EH1 - D IH0 NG +DREADNOUGHT D R EH1 D - N AO2 T +DREADS D R EH1 D Z +DREAM D R IY1 M +DREAMED D R IY1 M D +DREAMER D R IY1 - M ER0 +DREAMERS D R IY1 - M ER0 Z +DREAMING D R IY1 - M IH0 NG +DREAMLAND D R IY1 M - L AE2 N D +DREAMLIKE D R IY1 M - L AY2 K +DREAMS D R IY1 M Z +DREAMT D R EH1 M T +DREAMWORKS D R IY1 M - W ER2 K S +DREAMWORKS' D R IY1 M - W ER2 K S +DREAMWORLD D R IY1 M - W ER2 L D +DREAMY D R IY1 - M IY0 +DREARINESS D R IY1 - R IY0 - N AH0 S +DREARY D R IH1 - R IY0 +DREBSKY D R EH1 B S - K IY0 +DRECHSEL D R EH1 K - S AH0 L +DRECHSLER D R EH1 K - S AH0 - L ER0 +DRECHSLER(2) D R EH1 K S - L ER0 +DRED D R EH1 D +DREDD D R EH1 D +DREDGE D R EH1 JH +DREDGED D R EH1 JH D +DREDGES D R EH1 - JH AH0 Z +DREDGES(2) D R EH1 - JH IH0 Z +DREDGING D R EH1 - JH IH0 NG +DREES D R IY1 Z +DREESE D R IY1 Z +DREESSEN D R IY1 - S AH0 N +DREGER D R EH1 - G ER0 +DREGS D R EH1 G Z +DREHER D R EH1 R +DREIBELBIS D R AY1 - B IH0 L - B IH0 S +DREIER D R AY1 - ER0 +DREIGHTON D R AY1 - T IH0 N +DREILING D R AY1 - L IH0 NG +DREIS D R IY1 Z +DREISBACH D R AY1 S - B AA2 K +DREMAN D R IY1 - M AH0 N +DRENCH D R EH1 N CH +DRENCHED D R EH1 N CH T +DRENCHING D R EH1 N - CH IH0 NG +DRENNAN D R EH1 - N AH0 N +DRENNEN D R EH1 - N AH0 N +DRENNING D R EH1 - N IH0 NG +DRENNON D R EH1 - N AH0 N +DRENTH D R EH1 N TH +DREPUNG D R EY1 - P AH2 NG +DREPUNG(2) D R EY2 - P AO1 NG +DRESBACH D R EH1 S - B AA2 K +DRESCH D R EH1 SH +DRESCHER D R EH1 - SH ER0 +DRESDEN D R EH1 Z - D IH0 N +DRESDNER D R EH1 Z D - N ER0 +DRESDNER'S D R EH1 Z D - N ER0 Z +DRESEN D R IY1 - Z AH0 N +DRESHER D R EH1 - SH ER0 +DRESNER D R EH1 Z - N ER0 +DRESS D R EH1 S +DRESSAGE D R EH0 - S AA1 ZH +DRESSED D R EH1 S T +DRESSEL D R EH1 - S AH0 L +DRESSEN D R EH1 - S AH0 N +DRESSER D R EH1 - S ER0 +DRESSER'S D R EH1 - S ER0 Z +DRESSERS D R EH1 - S ER0 Z +DRESSES D R EH1 - S AH0 Z +DRESSES(2) D R EH1 - S IH0 Z +DRESSIER D R EH1 - S IY0 - ER0 +DRESSING D R EH1 - S IH0 NG +DRESSINGS D R EH1 - S IH0 NG Z +DRESSLER D R EH1 S - L ER0 +DRESSMAKER D R EH1 S - M EY2 - K ER0 +DRESSMAKERS D R EH1 S - M EY2 - K ER0 Z +DRESSMAKING D R EH1 S - M EY2 - K IH0 NG +DRESSY D R EH1 - S IY0 +DREW D R UW1 +DREWERY D R UW1 - ER0 - IY0 +DREWES D R UW1 Z +DREWETT D R UW1 - IH0 T +DREWRY D R UW1 - R IY0 +DREWS D R UW1 Z +DREXEL D R EH1 K - S AH0 L +DREXEL'S D R EH1 K - S AH0 L Z +DREXLER D R EH1 K S - L ER0 +DREY D R EY1 +DREYER D R EY1 - ER0 +DREYFUS D R AY1 - F AH0 S +DREYFUS'S D R EY1 - F AH0 - S IH0 Z +DREYFUS(2) D R EY1 - F AH0 S +DREYFUSS D R EY1 - F AH0 S +DRIBBED D R IH1 B D +DRIBBLE D R IH1 - B AH0 L +DRIBBLED D R IH1 - B AH0 L D +DRIBBLING D R IH1 - B AH0 L - IH0 NG +DRIBBLING(2) D R IH1 - B L IH0 NG +DRIBS D R IH1 B Z +DRIED D R AY1 D +DRIEHAUS D R IY1 - HH AW2 S +DRIER D R AY1 - ER0 +DRIES D R AY1 Z +DRIESSEN D R IY1 - S AH0 N +DRIEST D R AY1 - AH0 S T +DRIEVER D R IY1 - V ER0 +DRIFT D R IH1 F T +DRIFTED D R IH1 F - T AH0 D +DRIFTED(2) D R IH1 F - T IH0 D +DRIFTER D R IH1 F - T ER0 +DRIFTERS D R IH1 F - T ER0 Z +DRIFTING D R IH1 F - T IH0 NG +DRIFTNET D R IH1 F T - N EH2 T +DRIFTS D R IH1 F T S +DRIFTWOOD D R IH1 F T - W UH2 D +DRIGGERS D R IH1 - G ER0 Z +DRIGGS D R IH1 G Z +DRILL D R IH1 L +DRILLBIT D R IH1 L - B IH2 T +DRILLED D R IH1 L D +DRILLER D R IH1 - L ER0 +DRILLERS D R IH1 - L ER0 Z +DRILLING D R IH1 - L IH0 NG +DRILLING'S D R IH1 - L IH0 NG Z +DRILLS D R IH1 L Z +DRINA D IY1 - N AH0 +DRINA'S D IY1 - N AH0 Z +DRINAS D IY1 - N AH0 Z +DRING D R IH1 NG +DRINK D R IH1 NG K +DRINKABLE D R IH1 N - K AH0 - B AH0 L +DRINKARD D R IH1 NG - K ER0 D +DRINKER D R IH1 NG - K ER0 +DRINKER'S D R IH1 NG - K ER0 Z +DRINKERS D R IH1 NG - K ER0 Z +DRINKING D R IH1 NG - K IH0 NG +DRINKS D R IH1 NG K S +DRINKWATER D R IH1 NG - K W AO2 - T ER0 +DRINKWINE D R IH1 NG - K W AY2 N +DRINNON D R IH1 - N AH0 N +DRIP D R IH1 P +DRIPPED D R IH1 P T +DRIPPING D R IH1 - P IH0 NG +DRIPPS D R IH1 P S +DRIPS D R IH1 P S +DRISCOLL D R IH1 S - K AH0 L +DRISKELL D R IH1 S - K AH0 L +DRISKILL D R IH1 - S K IH0 L +DRIVABLE D R AY1 - V AH0 - B AH0 L +DRIVE D R AY1 V +DRIVE'S D R AY1 V Z +DRIVEL D R IH1 - V AH0 L +DRIVEN D R IH1 - V AH0 N +DRIVER D R AY1 - V ER0 +DRIVER'S D R AY1 - V ER0 Z +DRIVERLESS D R AY1 - V ER0 - L IH0 S +DRIVERS D R AY1 - V ER0 Z +DRIVERS' D R AY1 - V ER0 Z +DRIVES D R AY1 V Z +DRIVEWAY D R AY1 V - W EY2 +DRIVEWAYS D R AY1 V - W EY2 Z +DRIVING D R AY1 - V IH0 NG +DRIZZLE D R IH1 - Z AH0 L +DRIZZLING D R IH1 - Z AH0 L - IH0 NG +DRIZZLING(2) D R IH1 Z - L IH0 NG +DRIZZLY D R IH1 Z - L IY0 +DROBKOV D R AO1 B - K AO0 V +DROBKOV(2) D R AO1 B - K AO0 F +DROBNY D R AA1 B - N IY0 +DRODDY D R AA1 - D IY0 +DROEGE D R OW1 JH +DROESSLER D R OW1 - S AH0 - L ER0 +DROESSLER(2) D R OW1 S - L ER0 +DROGE D R OW1 JH +DROGOUL D R OW0 - G UW1 L +DROGOUL'S D R OW0 - G UW1 L Z +DROGUE D R OW1 G +DROHAN D R OW1 - AH0 N +DROKE D R OW1 K +DROLET D R OW1 - L IH0 T +DROLL D R OW1 L +DROLLINGER D R OW1 - L IH0 - NG ER0 +DROMEDARY D R AA1 - M AH0 - D EH2 - R IY0 +DROMER D R OW1 - M ER0 +DROMEY D R OW1 - M IY0 +DROMGOOLE D R AA1 M - G UW2 L +DROMGOOLES D R AA0 M - G UW1 L Z +DROMI D R AA1 - M IY0 +DROMOMANIA D R OW2 - M OW0 - M EY1 - N IY0 - AH0 +DROMOMANIA(2) D R OW2 - M OW0 - M EY1 - N Y AH0 +DROMON D R OW1 - M AH0 N +DRONE D R OW1 N +DRONED D R OW1 N D +DRONES D R OW1 N Z +DRONET D R OW1 - N IH0 T +DRONEY D R OW1 - N IY0 +DRONING D R OW1 - N IH0 NG +DROOL D R UW1 L +DROOLING D R UW1 - L IH0 NG +DROOP D R UW1 P +DROOPED D R UW1 P T +DROOPING D R UW1 - P IH0 NG +DROOPY D R UW1 - P IY0 +DROP D R AA1 P +DROP(2) D R AO1 P +DROPKIN D R AA1 P - K IH0 N +DROPLET D R AA1 - P L AH0 T +DROPLETS D R AA1 - P L AH0 T S +DROPOFF D R AA1 - P AO2 F +DROPOUT D R AA1 P - AW2 T +DROPOUTS D R AA1 P - AW2 T S +DROPPED D R AA1 P T +DROPPER D R AA1 - P ER0 +DROPPERS D R AA1 - P ER0 Z +DROPPING D R AA1 - P IH0 NG +DROPPINGS D R AA1 - P IH0 NG Z +DROPS D R AA1 P S +DROPSY D R AA1 P - S IY0 +DROSER D R OW1 - Z ER0 +DROSS D R AO1 S +DROST D R AA1 S T +DROSTE D R OW1 S T +DROTAR D R OW1 - T ER0 +DROUGHT D R AW1 T +DROUGHT'S D R AW1 T S +DROUGHTS D R AW1 T S +DROUILLARD D R W IY0 - L AA1 R D +DROUIN D R W IY1 N +DROVE D R OW1 V +DROVER D R OW1 - V ER0 +DROVES D R OW1 V Z +DROWN D R AW1 N +DROWNED D R AW1 N D +DROWNING D R AW1 - N IH0 NG +DROWNINGS D R AW1 - N IH0 NG Z +DROWNS D R AW1 N Z +DROWSINESS D R AW1 - Z IY0 - N AH0 S +DROWSY D R AW1 - Z IY0 +DROZ D R AA1 Z +DROZD D R AA1 Z D +DROZDA D R AA1 Z - D AH0 +DROZDOWSKI D R AH0 Z - D AO1 F S - K IY0 +DRU D R UW1 +DRUB D R AH1 B +DRUBBED D R AH1 B D +DRUBBING D R AH1 - B IH0 NG +DRUCE D R UW1 S +DRUCIE D R AH1 - K IY0 +DRUCK D R AH1 K +DRUCKENMILLER D R AH1 - K IH0 N - M IH2 - L ER0 +DRUCKER D R AH1 - K ER0 +DRUCKMAN D R AH1 K - M AH0 N +DRUDGE D R AH1 JH +DRUDGERY D R AH1 - JH ER0 - IY0 +DRUELLA D R UW2 - EH1 - L AH0 +DRUG D R AH1 G +DRUG'S D R AH1 G Z +DRUGAN D R UW1 - G AH0 N +DRUGGED D R AH1 G D +DRUGGING D R AH1 - G IH0 NG +DRUGGIST D R AH1 - G IH0 S T +DRUGGIST'S D R AH1 - G AH0 S T S +DRUGGIST'S(2) D R AH1 - G IH0 S T S +DRUGGISTS D R AH1 - G AH0 S T S +DRUGGISTS(2) D R AH1 - G IH0 S T S +DRUGGISTS(3) D R AH1 - G IH0 S S +DRUGGISTS(4) D R AH1 - G IH0 S +DRUGMAKER D R AH1 G - M EY2 - K ER0 +DRUGMAKERS D R AH1 G - M EY2 - K ER0 Z +DRUGS D R AH1 G Z +DRUGS' D R AH1 G Z +DRUGSTORE D R AH1 G - S T AO2 R +DRUGSTORES D R AH1 G - S T AO2 R Z +DRUID D R UW1 - IH0 D +DRUIDISM D R UW1 - AH0 - D IH2 - Z AH0 M +DRUIDS D R UW1 - IH0 D Z +DRUISILLA D R IH0 - S IH1 - L AH0 +DRUM D R AH1 M +DRUMBEAT D R AH1 M - B IY2 T +DRUMHEAD D R AH1 M - HH EH2 D +DRUMHELLER D R AH1 M - HH EH2 - L ER0 +DRUMLIN'S D R AH1 M - L IH0 N Z +DRUMM D R AH1 M +DRUMMED D R AH1 M D +DRUMMER D R AH1 - M ER0 +DRUMMERS D R AH1 - M ER0 Z +DRUMMEY D R AH1 - M IY0 +DRUMMING D R AH1 - M IH0 NG +DRUMMOND D R AH1 - M AH0 N D +DRUMMONDS D R AH1 - M AH0 N D Z +DRUMRIGHT D R AH1 M - R AY2 T +DRUMS D R AH1 M Z +DRUMSTICK D R AH1 M - S T IH0 K +DRUMWRIGHT D R AH1 M - R AY2 T +DRUNK D R AH1 NG K +DRUNKARD D R AH1 NG - K ER0 D +DRUNKARDS D R AH1 NG - K ER0 D Z +DRUNKEN D R AH1 NG - K AH0 N +DRUNKENNESS D R AH1 NG - K AH0 N - N AH0 S +DRUNKS D R AH1 NG K S +DRUPE D R UW1 P +DRUPES D R UW1 P S +DRURY D R UW1 - R IY0 +DRUSA D R UW1 - S AH0 +DRUSE D R UW1 Z +DRUSIE D R AH1 - S IY0 +DRUSILLA D R UW2 - S IH1 - L AH0 +DRUTHERS D R AH1 - DH ER0 Z +DRUZE D R UW1 Z +DRY D R AY1 +DRYCLEAN D R AY1 - K L IY2 N +DRYDEN D R AY1 - D AH0 N +DRYE D R AY1 +DRYER D R AY1 - ER0 +DRYERS D R AY1 - ER0 Z +DRYING D R AY1 - IH0 NG +DRYLY D R AY1 - L IY0 +DRYNESS D R AY1 - N AH0 S +DRYPERS D R AY1 - P ER0 Z +DRYPOINT D R AY1 - P OY2 N T +DRYSDALE D R AY1 Z - D EY2 L +DRYSER D R AY1 - S ER0 +DRYWALL D R AY1 - W AA2 L +DRZEWIECKI JH UW0 - IY1 T S - K IY0 +DSOUZA D AH0 - S UW1 - Z AH0 +DSS D IY1 - EH1 - S EH1 S +DSV D IY1 - EH1 S - V IY1 +DU D UW1 +DU(2) D AH0 +DUAL D UW1 - AH0 L +DUAL(2) D UW1 L +DUALISM D UW1 - AH0 - L IH2 - Z AH0 M +DUALISMS D UW1 - AH0 - L IH2 - Z AH0 M Z +DUALIST D UW1 - AH0 - L IH0 S T +DUALISTIC D UW2 - AH0 - L IH1 - S T IH0 K +DUALITY D UW0 - AE1 - L AH0 - T IY0 +DUALS D UW1 - AH0 L Z +DUAN D W AE1 N +DUAN(2) D W EY1 N +DUANA D UW0 - AE1 - N AH0 +DUANE D W EY1 N +DUARTE D W AA1 R - T EY2 +DUARTE'S D W AA1 R - T EY2 Z +DUB D AH1 B +DUBA D UW1 - B AH0 +DUBACH D AH1 - B AA0 K +DUBAI D UW0 - B AY1 +DUBARRY D UW1 - B EH2 - R IY0 +DUBAS D UW1 - B AH0 Z +DUBAY D AH1 - B EY0 +DUBBED D AH1 B D +DUBBERLY D AH1 - B ER0 - L IY0 +DUBBING D AH1 - B IH0 NG +DUBBS D AH1 B Z +DUBCEK D AH1 B - CH EH2 K +DUBCEK(2) D UW1 B - CH EH2 K +DUBE D UW1 B +DUBEAU D AH0 - B OW1 +DUBERSTEIN D UW1 - B ER0 - S T AY2 N +DUBERSTEIN'S D UW1 - B ER0 - S T AY2 N Z +DUBERSTEIN'S(2) D UW1 - B ER0 - S T IY2 N Z +DUBERSTEIN(2) D UW1 - B ER0 - S T IY2 N +DUBEY D AH1 - B IY0 +DUBHI D UW1 - B IY0 +DUBICKI D AH0 - B IH1 T S - K IY0 +DUBIE D AH1 - B IY0 +DUBIEL D AH1 - B IY0 L +DUBILIER D UW2 - B AH0 - L IH1 R +DUBILIER(2) D UW2 - B AH0 - L AY1 - ER0 +DUBIN D UW1 - B IH0 N +DUBININ D UW0 - B IH1 - N IH0 N +DUBINSKY D AH0 - B IH1 N - S K IY0 +DUBIOUS D UW1 - B IY0 - AH0 S +DUBIS D UW1 - B IH0 S +DUBLIN D AH1 - B L IH0 N +DUBLIN'S D AH1 - B L IH0 N Z +DUBOFF D AH1 - B AO2 F +DUBOIS D UW0 - B OY1 S +DUBOIS(2) D UW0 - B W AA1 +DUBOISE D UW0 - B OY1 S +DUBOISE(2) D UW0 - B W AA1 +DUBORD D AH0 - B AO1 R D +DUBOSE D UW0 - B OW1 Z +DUBOW D UW1 - B OW0 +DUBRAWSKI D UW0 - B R AW1 S - K IY0 +DUBRAY D AH1 - B R EY2 +DUBREE D AH0 - B R IY1 +DUBREUIL D AH1 - B R UW0 L +DUBROC D AH1 - B R AH0 K +DUBROFF D UW1 - B R AO0 F +DUBROVNIK D UW0 - B R AA1 V - N IH0 K +DUBROVNIK'S D UW0 - B R AA1 V - N IH0 K Z +DUBROVNIKS D UW0 - B R AA1 V - N IH0 K Z +DUBROW D AH1 - B R OW2 +DUBS D AH1 B Z +DUBUC D UW1 - B AH0 K +DUBUISSON D AH1 - B IH0 - S AH0 N +DUBUQUE D AH0 - B Y UW1 K +DUBUQUE'S D AH0 - B Y UW1 K S +DUBY D UW1 - B IY0 +DUC D AH1 K +DUCA D UW1 - K AH0 +DUCAL D UW1 - K AH0 L +DUCE D UW1 S +DUCEY D AH1 - S IY0 +DUCH D AH1 CH +DUCHAINE D AH0 - SH EY1 N +DUCHAMP D UW0 - SH AA1 M P +DUCHAMP'S D UW0 - SH AA1 M P S +DUCHARME D AH0 - SH AA1 R M +DUCHEMIN D AH1 - SH IH0 - M AE0 N +DUCHENE D AH1 - K IY0 N +DUCHENNE D UW0 - SH EH1 N +DUCHESNEAU D AH1 - SH IH0 S - N OW0 +DUCHESS D AH1 - CH AH0 S +DUCHIN D UW1 - CH IH0 N +DUCHON D AH1 - CH AH0 N +DUCHOSSOIS D UW0 - CH AO1 S - W AA2 +DUCHOW D AH1 - CH OW0 +DUCHY D AH1 - CH IY0 +DUCK D AH1 K +DUCK'S D AH1 K S +DUCKED D AH1 K T +DUCKER D AH1 - K ER0 +DUCKETT D AH1 - K IH0 T +DUCKING D AH1 - K IH0 NG +DUCKLING D AH1 - K L IH0 NG +DUCKLINGS D AH1 K - L IH0 NG Z +DUCKS D AH1 K S +DUCKS' D AH1 K S +DUCKSWORTH D AH1 K - S W ER2 TH +DUCKWALL D AH1 K - W AO2 L +DUCKWEED D AH1 K - W IY2 D +DUCKWORTH D AH1 K - W ER2 TH +DUCLOS D AH0 - K L OW1 Z +DUCOMMUN D UW0 - K AA1 - M AH0 N +DUCOMMUN(2) D UW0 - K AA1 - M UW1 N +DUCOTE D AH0 - K OW1 T +DUCT D AH1 K T +DUCTILE D AH1 K - T AH0 L +DUCTILITY D AH0 K - T IH1 - L AH0 - T IY0 +DUCTLESS D AH1 K T - L AH0 S +DUCTS D AH1 K T S +DUD D AH1 D +DUDA D UW1 - D AH0 +DUDACK D UW1 - D AE0 K +DUDAR D UW1 - D ER0 +DUDAS D UW1 - D AH0 Z +DUDASH D AH1 - D AH0 SH +DUDAYEV D UW0 - D AY1 - EH2 V +DUDAYEV'S D UW0 - D AY1 - EH2 V Z +DUDD D AH1 D +DUDDING D AH1 - D IH0 NG +DUDDY D AH1 - D IY0 +DUDE D UW1 D +DUDECK D UW1 - D EH0 K +DUDECK'S D UW1 - D EH0 K S +DUDEK D UW1 - D IH0 K +DUDEN D UW1 - D AH0 N +DUDENHOEFFER D AH1 - D IH0 N - HH OW0 - F ER0 +DUDES D Y UW1 D Z +DUDGEON D AH1 - JH AH0 N +DUDIK D UW1 - D IH0 K +DUDLEY D AH1 D - L IY0 +DUDMAN D AH1 D - M AH0 N +DUDNEY D AH1 D - N IY0 +DUDS D AH1 D Z +DUDZIAK D AH1 - JH IY0 - AE0 K +DUDZIK D AH1 D - Z IH0 K +DUDZINSKI D AH0 - JH IH1 N - S K IY0 +DUE D UW1 +DUE(2) D Y UW1 +DUECKER D UW1 - K ER0 +DUEITT D UW1 - AH0 T +DUEKER D UW1 - K ER0 +DUEL D UW1 - AH0 L +DUELED D UW1 - AH0 L D +DUELING D UW1 - L IH0 NG +DUELIST D UW1 - AH0 - L IH0 S T +DUELL JH UW1 L +DUELL(2) D UW1 L +DUELS D UW1 - AH0 L Z +DUENA D UW0 - EH1 - N AH0 +DUENA(2) D W EY1 - N Y AH0 +DUENAS D UW0 - EH1 - N AH0 S +DUENAS(2) D W EY1 - N Y AH0 S +DUENEZ D W EH0 - N EH1 Z +DUENOW D UW1 - N OW0 +DUENSING D UH1 N - S IH0 NG +DUER D UW1 - ER0 +DUERKSEN D UH1 R K - S AH0 N +DUERR D UH1 R +DUERSON D UH1 R - S AH0 N +DUERST D UH1 R S T +DUES D UW1 Z +DUESBERG D UW1 Z - B ER0 G +DUESING D UW1 - S IH0 NG +DUESLER D UW1 - S AH0 - L ER0 +DUESLER(2) D UW1 S - L ER0 +DUESSELDORF D UW1 - S AH0 L - D AO2 R F +DUET D UW0 - EH1 T +DUET(2) D Y UW0 - EH1 T +DUETS D UW0 - EH1 T S +DUETS(2) D Y UW0 - EH1 T S +DUEY D UW1 - IY0 +DUEY(2) D Y UW1 - IY0 +DUFAULT D AH0 - F OW1 +DUFEK D UW1 - F IH0 K +DUFF D AH1 F +DUFFEE D AH1 - F IY0 +DUFFEK D AH1 - F IH0 K +DUFFEL D AH1 - F AH0 L +DUFFELL D AH1 - F AH0 L +DUFFER D AH1 - F ER0 +DUFFETT D AH1 - F IH0 T +DUFFEY D AH1 - F IY0 +DUFFIE D AH1 - F IY0 +DUFFIELD D AH1 - F IY2 L D +DUFFIN D AH1 - F IH0 N +DUFFNER D AH1 F - N ER0 +DUFFORD D AH1 - F ER0 D +DUFFOUR D AH1 - F AO0 R +DUFFUS D AH1 - F AH0 S +DUFFY D AH1 - F IY0 +DUFNER D AH1 F - N ER0 +DUFORD D AH1 - F ER0 D +DUFORT D AH1 - F ER0 T +DUFOUR D AH0 - F UH1 R +DUFRANE D AH0 - F R EY1 N +DUFRENE D AH0 - F R IY1 N +DUFRESNE D AH0 - F R EH1 N +DUFUR D AH0 - F ER1 +DUG D AH1 G +DUGAL D UW1 - JH AH0 L +DUGALD D AH1 - G AH0 L D +DUGAN D AH1 - G AH0 N +DUGAR D UW1 - G ER0 +DUGAS D UW1 - G AH0 Z +DUGDALE D AH1 G - D EY2 L +DUGGAN D AH1 - G AH0 N +DUGGAR D AH1 - G ER0 +DUGGER D AH1 - G ER0 +DUGGIN D AH1 - G IH0 N +DUGGINS D AH1 - G IH0 N Z +DUGO D UW1 - G OW0 +DUGOUT D AH1 G - AW2 T +DUGOUTS D AH1 G - AW2 T S +DUGUAY D AH1 - G EY0 +DUGUID D AH1 G - W IH0 D +DUH D AH1 +DUHAIME D UW1 - AY0 M +DUHAMEL D UW2 - HH AE1 - M AH0 L +DUHART D AH1 - HH AA0 R T +DUHE D UW1 HH +DUHON D UW1 - HH AH0 N +DUHR D ER1 +DUI D IY1 - Y UW1 - AY1 +DUIGNAN D IH0 G - N AE1 N +DUIS D UW1 - IH0 Z +DUIS(2) D IY1 - Y UW1 - AY1 Z +DUISBURG D UW1 S - B ER0 G +DUITSMAN D UW1 T S - M AH0 N +DUK D AH1 K +DUKAKIS D UW0 - K AA1 - K IH0 S +DUKAKIS' D UW0 - K AA1 - K IH0 S +DUKAKIS'(2) D UW0 - K AA1 - K IH0 - S IH0 Z +DUKAKIS'S D UW0 - K AA1 - K IH0 - S IH0 Z +DUKAKISES D UW0 - K AA1 - K IH0 - S IH0 Z +DUKART D AH1 - K AA0 R T +DUKE D UW1 K +DUKE'S D UW1 K S +DUKEDOM D UW1 K - D AH0 M +DUKEMAN D UW1 K - M AH0 N +DUKER D UW1 - K ER0 +DUKES D UW1 K S +DUKING D UW1 - K IH0 NG +DULA D UW1 - L AH0 +DULAC D AH0 - L AE1 K +DULAK D UW1 - L AH0 K +DULANEY D Y UW1 - L AH0 - N IY0 +DULANY D Y UW0 - L AO1 - N IY0 +DULAY D Y UW1 - L EY0 +DULCE D AH1 L S +DULCEA D AH1 L - S IY0 - AH0 +DULCET D AH1 L - S AH0 T +DULCIANA D UW0 L - CH AE1 - N AH0 +DULCIBELLE D AH1 L - S IH0 - B AH0 L +DULCIE D AH1 L - K IY0 +DULCIMER D AH1 L - S IH0 - M ER0 +DULCINE D AH1 L - S IH0 N +DULCINEA D AH2 L - S IH0 - N IY1 - AH0 +DULE D UW1 L +DULEY D Y UW1 - L IY0 +DULIN D UW1 - L IH0 N +DULING D Y UW1 - L IH0 NG +DULL D AH1 L +DULLE D AH1 L +DULLEA D AH1 - L IY0 - AH0 +DULLED D AH1 L D +DULLER D AH1 - L ER0 +DULLES D AH1 - L AH0 S +DULLEST D AH1 - L AH0 S T +DULLING D AH1 - L IH0 NG +DULLNESS D AH1 L - N AH0 S +DULMAGE D AH1 L - M AH0 JH +DULONG D Y UW1 - L AO0 NG +DULSKI D AH1 L - S K IY0 +DULUDE D Y UW1 - L UW2 D +DULUTH D AH0 - L UW1 TH +DULWICH D AH1 L - W IH2 CH +DULWORTH D AH1 L - W ER0 TH +DULY D UW1 - L IY0 +DUM D AH1 M +DUMA D UW1 - M AH0 +DUMAINE D AH0 - M EY1 N +DUMAIS D AH0 - M EY1 +DUMAN D UW1 - M AH0 N +DUMAS D UW1 - M AH0 Z +DUMAS(2) D UW2 - M AA1 +DUMB D AH1 M +DUMBBELL D AH1 M - B EH2 L +DUMBBELLS D AH1 M - B EH2 L Z +DUMBER D AH1 - M ER0 +DUMBEST D AH1 - M AH0 S T +DUMBFOUND D AH1 M - F AW0 N D +DUMBFOUNDED D AH1 M - F AW0 N - D IH0 D +DUMBING D AH1 - M IH0 NG +DUMBO D AH1 M - B OW0 +DUMBSTRUCK D AH1 M - S T R AH2 K +DUMENIL D UW1 - M AH0 - N IH2 L +DUMEZ D UW1 - M EH0 Z +DUMFORD D AH1 M - F ER0 D +DUMIRE D UW0 - M IH1 - R EY0 +DUMKE D AH1 M - K IY0 +DUMLAO D UW1 M - L AW0 +DUMLER D AH1 M - L ER0 +DUMM D AH1 M +DUMMER D AH1 - M ER0 +DUMMIES D AH1 - M IY0 Z +DUMMITT D AH1 - M IH0 T +DUMMY D AH1 - M IY0 +DUMOND D AH0 - M AA1 N D +DUMONT D UW0 - M AA1 N T +DUMOULIN D AH1 - M UW0 - L AE0 N +DUMP D AH1 M P +DUMPED D AH1 M P T +DUMPER D AH1 M - P ER0 +DUMPING D AH1 M - P IH0 NG +DUMPLING D AH1 M - P L IH0 NG +DUMPLINGS D AH1 M - P L IH0 NG Z +DUMPS D AH1 M P S +DUMPSTER D AH1 M P - S T ER0 +DUMPSTERS D AH1 M P - S T ER0 Z +DUMPTRUCK D AH1 M P - T R AH2 K +DUMPTRUCKS D AH1 M P - T R AH2 K S +DUMPTY D AH1 M P - T IY0 +DUMPY D AH1 M - P IY0 +DUN D AH1 N +DUN'S D AH1 N Z +DUNA D UW1 - N AH0 +DUNAGAN D UW0 - N AA1 - G AA0 N +DUNAHOO D UW0 - N AA1 - HH UW0 +DUNAJ D UW1 - N AH0 JH +DUNAVAN D AH1 - N AH0 - V AE2 N +DUNAVANT D UW0 - N AA1 - V AH0 N T +DUNAWAY D AH1 N - AH0 - W EY2 +DUNAY D AH1 - N EY0 +DUNBAR D AH1 N - B AA0 R +DUNBLANE D AH1 N - B L EY2 N +DUNC D AH1 NG K +DUNCAN D AH1 NG - K AH0 N +DUNCANSON D AH1 NG - K AH0 N - S AH0 N +DUNCKEL D AH1 NG - K AH0 L +DUNCOMBE D AH1 NG - K AH0 M +DUNDAS D AH1 N - D AH0 Z +DUNDEE D AH0 N - D IY1 +DUNDON D AH1 N - D AH0 N +DUNDORE D AH1 N - D ER0 +DUNE D UW1 N +DUNEDIN D UW1 - N AH0 - D IH0 N +DUNEGAN D AH1 - N IH0 - G AE0 N +DUNES D UW1 N Z +DUNFEE D AH1 N - F IY2 +DUNFORD D AH1 N - F ER0 D +DUNG D AH1 NG +DUNGAN D AH1 NG - G AH0 N +DUNGEON D AH1 N - JH AH0 N +DUNGEONS D AH1 N - JH AH0 N Z +DUNGEY D AH1 N - JH IY0 +DUNHAM D AH1 - N AH0 M +DUNHILL D AH1 N - HH IH2 L +DUNIGAN D AH1 - N IH0 - G AE0 N +DUNITE D UW0 - N AY1 T +DUNIVAN D AH1 - N IH0 - V AE0 N +DUNJA D UW1 - N Y AH0 +DUNJA(2) D AH1 N - JH AH0 +DUNK D AH1 NG K +DUNKED D AH1 NG K T +DUNKEL D AH1 NG - K AH0 L +DUNKELBERG D AH1 NG - K AH0 L - B ER0 G +DUNKELBERGER D AH1 NG - K AH0 L - B ER0 - G ER0 +DUNKER D AH1 NG - K ER0 +DUNKERLEY D AH1 NG - K ER0 - L IY0 +DUNKIN D AH1 NG - K IH0 N +DUNKIN' D AH1 NG - K IH0 N +DUNKIRK D AH1 N - K ER0 K +DUNKLE D AH1 NG - K AH0 L +DUNKLEBERGER D AH1 NG - K AH0 L - B ER0 - G ER0 +DUNKLEE D AH1 NG - K L IY2 +DUNKLEY D AH1 NG - K L IY0 +DUNKLIN D AH1 NG - K L IH0 N +DUNKS D AH1 NG K S +DUNLAEVY D AH0 N - L EY1 - V IY0 +DUNLAP D AH1 N - L AE0 P +DUNLAVEY D AH0 N - L AH0 - V EY1 +DUNLAVY D AH1 N - L AH0 - V IY0 +DUNLAY D AH1 N - L EY2 +DUNLEAVY D UW1 N - L AH0 - V IY0 +DUNLEVY D UW1 N - L IH0 - V IY0 +DUNLEY D AH1 N - L IY0 +DUNLOP D AH1 N - L AA2 P +DUNMAN D AH1 N - M AH0 N +DUNMIRE D UW0 N - M IH1 - R EY0 +DUNN D AH1 N +DUNNAGAN D AH1 - N AH0 - G AE0 N +DUNNAM D AH1 - N AH0 M +DUNNAVANT D AH1 - N AH0 - V AH0 N T +DUNNAWAY D AH1 N - AH0 - W EY0 +DUNNE D AH1 N +DUNNED D AH1 N D +DUNNELL D AH1 - N AH0 L +DUNNETT D AH1 - N IH0 T +DUNNIGAN D AH1 - N IH0 - G AH0 N +DUNNING D AH1 - N IH0 NG +DUNNINGTON D AH1 - N IH0 NG - T AH0 N +DUNPHY D AH1 N - F IY0 +DUNS D AH1 N Z +DUNSHEE D AH1 N - SH IY0 +DUNSMOOR D AH1 N Z - M UH2 R +DUNSMORE D AH1 N - S M AO0 R +DUNSON D AH1 N - S AH0 N +DUNST D AH1 N S T +DUNSTAN D AH1 N - S T AH0 N +DUNSTER D AH1 N - S T ER0 +DUNSTON D AH1 N - S T AH0 N +DUNSWORTH D AH1 N - Z W ER2 TH +DUNTON D AH1 N - T AH0 N +DUNWOODY D AH1 N - W UH2 - D IY0 +DUNWORTH D AH1 N - W ER2 TH +DUO D UW1 - OW0 +DUODENAL D UW1 - AH0 - D IY1 - N AH0 L +DUODENAL(2) D UW0 - AA1 - D AH0 - N AH0 L +DUODENUM D UW0 - AA1 - D AH0 - N AH0 M +DUONG D UW1 - OW0 NG +DUOPOLY D UW1 - OW0 - P AA2 - L IY0 +DUOPOLY(2) D Y UW0 - AA1 - P AH0 - L IY0 +DUPAY D UW0 - P EY1 +DUPE D UW1 P +DUPED D UW1 P T +DUPEE D UW1 - P IY1 +DUPER D UW1 - P ER0 +DUPES D UW1 P S +DUPIN D AH0 - P AE1 N +DUPLANTIS D AH0 - P L AE1 N - T IH0 S +DUPLECHAIN D UW1 - P L IH0 - SH EY0 N +DUPLECHIN D UW1 - P L IH0 - K IH0 N +DUPLER D UW1 - P AH0 - L ER0 +DUPLER(2) D UW1 - P L ER0 +DUPLESSIS D UW1 - P L IH0 - S IH0 S +DUPLEX D UW1 - P L EH2 K S +DUPLICATE D UW1 - P L AH0 - K AH0 T +DUPLICATE(2) D UW1 - P L AH0 - K EY2 T +DUPLICATED D UW1 - P L IH0 - K EY2 - T IH0 D +DUPLICATED(2) D Y UW1 - P L AH0 - K EY2 - T IH0 D +DUPLICATES D Y UW1 - P L AH0 - K EY2 T S +DUPLICATING D UW1 - P L IH0 - K EY2 - T IH0 NG +DUPLICATION D Y UW2 - P L AH0 - K EY1 - SH AH0 N +DUPLICATIONS D UW2 - P L IH0 - K EY1 - SH AH0 N Z +DUPLICATIVE D UW0 - P L IH1 - K AH0 - T IH0 V +DUPLICITOUS D UW0 - P L IH1 - S IH0 - T AH0 S +DUPLICITY D UW0 - P L IH1 - S IH0 - T IY0 +DUPONT D UW1 - P AA0 N T +DUPONT'S D UW1 - P AA0 N T S +DUPRAS D AH0 - P R AA1 Z +DUPRE D AH1 - P ER0 +DUPREE D AH0 - P R IY1 +DUPREY D AH1 - P R IY0 +DUPRIEST D AH1 - P ER0 - IY0 - IH0 S T +DUPRIEST(2) D UW2 - P R IY1 S T +DUPUIS D AH1 - P UW0 - IH0 Z +DUPUY D AH0 - P AY1 +DUQUE D UW1 K +DUQUESNE D UW0 - K EY1 N +DUQUESNE'S D UW0 - K EY1 N Z +DUQUETTE D AH0 - K EH1 T +DURA D UH1 - R AH0 +DURABILITY D ER0 - AH0 - B IH1 - L IH0 - T IY0 +DURABLE D UH1 - R AH0 - B AH0 L +DURABLES D UH1 - R AH0 - B AH0 L Z +DURACELL D UH1 - R AH0 - S EH2 L +DURAKON D UH1 - R AH0 - K IH0 N +DURALL D Y UW1 - R AH0 L +DURAMED D UH1 - R AH0 - M EH2 D +DURAN D ER0 - AE1 N +DURAN'S D ER0 - AE1 N S +DURANDO D UH0 - R AA1 N - D OW0 +DURANG D ER0 - AE1 NG +DURANGO D ER0 - AE1 NG - G OW0 +DURANT D UH1 - R AH0 N T +DURANT'S D ER0 - AE1 N T S +DURANTE D UH0 - R AA1 N - T IY0 +DURATION D UH1 - R EY1 - SH AH0 N +DURATIONS D UH1 - R EY1 - SH AH0 N Z +DURAY D UH1 - R EY0 +DURAZO D UH0 - R AA1 - Z OW0 +DURBAN D ER1 - B AH0 N +DURBEN D ER1 - B AH0 N +DURBIN D ER1 - B IH0 N +DURCH D ER1 CH +DURCHHOLZ D ER1 - CH OW2 L T S +DURDEN D ER1 - D AH0 N +DURDIN D ER1 - D IH0 N +DUREE D UH1 - R IY1 +DURELL D Y UW1 - R AH0 L +DUREN D UH1 - R AH0 N +DURENBERGER D UH1 - R AH0 N - B ER0 - G ER0 +DURENE D Y UW1 - R IY0 N +DURER D UH1 - R ER0 +DURESS D UH1 - R EH0 S +DURETTE D ER0 - EH1 T +DURFEE D ER1 - F IY0 +DURFEY D ER1 - F IY0 +DURFLINGER D ER1 - F AH0 L - IH0 - NG ER0 +DURFLINGER(2) D ER1 - F L IH0 - NG ER0 +DURGAN D ER1 - G AH0 N +DURGIN D ER1 - JH IH0 N +DURHAM D ER1 - AH0 M +DURHAM(2) D UH1 R - HH AE1 M +DURHAM(3) D UH1 - R AH0 M +DURI D UH1 - R IY0 +DURICK D Y UW1 - R IH0 K +DURIE D UH1 - R IY0 +DURING D UH1 - R IH0 NG +DURING(2) D Y UH1 - R IH0 NG +DURING(3) D ER1 - IH0 NG +DURIO D UH1 - R IY0 - OW0 +DURIRON D UW0 - R IH1 - R AH0 N +DURIS D Y UW1 - R IH0 S +DURKEE D ER1 - K IY0 +DURKHEIM D ER1 K - HH AY2 M +DURKHEIM'S D ER1 K - HH AY2 M Z +DURKIN D ER1 - K IH0 N +DURLAND D ER1 - L AH0 N D +DURLEY D ER1 - L IY0 +DURLING D ER1 - L IH0 NG +DURN D ER1 N +DURNELL D ER1 - N AH0 L +DURNEY D ER1 - N IY0 +DURNIL D ER1 - N AH0 L +DURNIN D ER1 - N IH0 N +DURNING D ER1 - N IH0 NG +DURO D UH1 - R OW2 +DUROCHER D Y UW1 - R AH0 - K ER0 +DURON D Y UW1 - R AH0 N +DUROSS D Y UW1 - R AH0 S +DURR D ER1 +DURRAH D AO1 - R AH0 +DURRANCE D UH1 - R AH0 N S +DURRANT D AO1 - R AH0 N T +DURRELL D AO1 - R AH0 L +DURRENCE D AO1 - R AH0 N S +DURRETT D AO1 - R IH0 T +DURSO D UH1 R - S OW0 +DURST D ER1 S T +DURUM D UH1 - R AH0 M +DURWARD D ER1 - W ER0 D +DURWIN D ER1 - W IH0 N +DURY D UH1 - R IY0 +DURYEA D UH0 - R IY1 - AH0 +DURYEE D UH0 - R IY1 +DUSCH D AH1 SH +DUSCH(2) D AH1 CH +DUSEK D UW1 - S EH0 K +DUSENBERRY D UW1 - S AH0 N - B EH0 - R IY0 +DUSENBERY D AH0 - S EH1 N - B ER0 - IY0 +DUSENBURY D UW1 - S AH0 N - B EH0 - R IY0 +DUSH D AH1 SH +DUSH(2) D UW1 SH +DUSHANE D UW2 - SH EY1 N +DUSHYANTH D UW2 - SH IY0 - AA1 N TH +DUSING D UW1 - S IH0 NG +DUSK D AH1 S K +DUSKIN D AH1 - S K IH0 N +DUSSAULT D AH0 - S OW1 +DUSSEAU D AH0 - S OW1 +DUSSEAULT D AH0 - S OW1 +DUSSELDORF D UW1 - S AH0 L - D AO2 R F +DUST D AH1 S T +DUSTBIN D AH1 S T - B IH0 N +DUSTED D AH1 - S T IH0 D +DUSTER D AH1 - S T ER0 +DUSTERS D AH1 - S T ER0 Z +DUSTIN D AH1 - S T IH0 N +DUSTING D AH1 - S T IH0 NG +DUSTMAN D AH1 S T - M AH0 N +DUSTON D AH1 - S T AH0 N +DUSTS D AH1 S T S +DUSTS(2) D AH1 S S +DUSTS(3) D AH1 S +DUSTY D AH1 - S T IY0 +DUSZA D AH1 - SH AH0 +DUSZYNSKI D AH0 - SH IH1 N - S K IY0 +DUTCH D AH1 CH +DUTCHER D AH1 - CH ER0 +DUTCHMAN D AH1 CH - M AH0 N +DUTHIE D AH1 - TH IY0 +DUTIES D UW1 - T IY0 Z +DUTIFUL D UW1 - T IY0 - F AH0 L +DUTIFULLY D UW1 - T IY0 - F AH0 - L IY0 +DUTIL D AH0 - T IH1 L +DUTKA D AH1 T - K AH0 +DUTKIEWICZ D AH1 T - K AH0 - V IH0 CH +DUTKO D AH1 T - K OW0 +DUTOIT D UW0 - T OY1 T +DUTRA D UW1 - T R AH0 +DUTRO D AH1 - T R OW0 +DUTROW D AH1 - T R OW0 +DUTSON D AH1 T - S AH0 N +DUTT D AH1 T +DUTTER D AH1 - T ER0 +DUTTON D AH1 - T AH0 N +DUTY D UW1 - T IY0 +DUTY(2) D Y UW1 - T IY0 +DUVA D UW1 - V AH0 +DUVAL D UW0 - V AE1 L +DUVALIER D UW0 - V AE1 L - Y ER0 +DUVALIERS D UW0 - V EY1 - L Y ER0 Z +DUVALL D UW0 - V AA1 L +DUVE D UW1 V +DUVERNAY D AH0 - V ER1 - N EY0 +DUVREES D UW0 - V R IY1 Z +DUWAYNE D UW0 - W EY1 N +DUWE D UW1 W +DUX D AH1 K S +DUZAN D UW1 - Z AH0 N +DVORACEK D V AO1 - R AH0 - CH EH0 K +DVORAK D V AO1 - R AH0 K +DVORSKY D V AO1 R - S K IY0 +DWAN D W AA1 N +DWANA D W AA1 - N AH0 +DWARF D W AO1 R F +DWARFED D W AO1 R F T +DWARFING D W AO1 R - F IH0 NG +DWARFISM D W AO1 R - F IH0 - Z AH0 M +DWARFS D W AO1 R F S +DWARVES D W AO1 R V Z +DWAYNE D W EY1 N +DWECK D W EH1 K +DWELL D W EH1 L +DWELLE D W EH1 L +DWELLED D W EH1 L D +DWELLER D W EH1 - L ER0 +DWELLERS D W EH1 - L ER0 Z +DWELLEY D W EH1 - L IY0 +DWELLING D W EH1 - L IH0 NG +DWELLINGS D W EH1 - L IH0 NG Z +DWELLS D W EH1 L Z +DWELT D W EH1 L T +DWI D IY1 - D AH1 - B AH0 L - Y UW1 - AY1 +DWI(2) D IY1 - D AH1 - B AH0 - Y UW1 - AY1 +DWIGGINS D W IH1 - G IH0 N Z +DWIGHT D W AY1 T +DWINDLE D W IH1 N - D AH0 L +DWINDLED D W IH1 N - D AH0 L D +DWINDLES D W IH1 N - D AH0 L Z +DWINDLING D W IH1 N - D AH0 L - IH0 NG +DWINDLING(2) D W IH1 N D - L IH0 NG +DWINELL D W IH1 - N AH0 L +DWIRE D W AY1 R +DWIVEDI D W IH0 - V EH1 - D IY0 +DWORAK D W ER1 - AH0 K +DWORIN D W AO1 - R IH0 N +DWORKIN D W AO1 R - K IH0 N +DWORSKY D W ER1 S - K IY0 +DWYER D W AY1 - ER0 +DYAD D AY1 - AE2 D +DYAL D AY1 - AH0 L +DYAN D AY0 - AE1 N +DYANA D AY0 - AE1 - N AH0 +DYANE D AY0 - AE1 N +DYANSEN D AY1 - AH0 N - S AH0 N +DYAR D AY1 - ER0 +DYAS D AY1 - AH0 S +DYATRON D AY1 - AH0 - T R AH0 N +DYAZIDE D AY1 - AH0 - Z AY2 D +DYBAS D AY1 - B AH0 Z +DYCE D AY1 S +DYCHE D AY1 CH +DYCHES D AY1 - CH IH0 Z +DYCK D AY1 K +DYCKMAN D IH1 K - M AH0 N +DYCO D AY1 - K OW0 +DYCUS D AY1 - K AH0 S +DYE D AY1 +DYED D AY1 D +DYEING D AY1 - IH0 NG +DYER D AY1 - ER0 +DYES D AY1 Z +DYESS D AY1 - AH0 S +DYESTUFF D AY1 - S T AH2 F +DYESTUFFS D AY1 - S T AH2 F S +DYGERT D IH1 - G ER0 T +DYING D AY1 - IH0 NG +DYK D IH1 K +DYKAS D AY1 - K AH0 Z +DYKE D AY1 K +DYKEMAN D AY1 K - M AH0 N +DYKES D AY1 K S +DYKHOUSE D IH1 K - HH AW2 S +DYKMAN D IH1 K - M AH0 N +DYKSTRA D AY1 K - S T R AH0 +DYLAN D IH1 - L AH0 N +DYLAN'S D IH1 - L AH0 N Z +DYLEWSKI D IH0 - L EH1 F - S K IY0 +DYLEX D AY1 - L AH0 K S +DYMALLY D IH1 - M AH0 - L IY0 +DYMEK D IH1 - M EH0 K +DYMENT D IH1 - M AH0 N T +DYMOND D AY1 - M AH0 N D +DYNAFAC D AY1 - N AH0 - F AE2 K +DYNALECTRIC D AY1 - N AH0 - L EH2 K - T R IH0 K +DYNALECTRON D AY1 - N AH0 - L EH2 K - T R AH0 N +DYNAMIC D AY0 - N AE1 - M IH0 K +DYNAMICS D AY0 - N AE1 - M IH0 K S +DYNAMICS' D IH0 - N AE1 - M IH0 K S +DYNAMICS'(2) D AY0 - N AE1 - M IH0 K S +DYNAMICS'S D AY0 - N AE1 - M IH0 K - S IH0 Z +DYNAMISM D AY1 - N AH0 - M IH2 - Z AH0 M +DYNAMITE D AY1 - N AH0 - M AY2 T +DYNAMO D AY1 - N AH0 - M OW2 +DYNAPAC D AY1 - N AH0 - P AE2 K +DYNASCAN D AY1 - N AH0 - S K AE2 N +DYNASTIC D AY0 - N AE1 - S T IH0 K +DYNASTIES D AY1 - N AH0 - S T IY0 Z +DYNASTY D AY1 - N AH0 - S T IY0 +DYNATECH D IH1 - N AH0 - T EH2 K +DYNCORP D IH1 N - K AO2 R P +DYNCORP(2) D AY1 N - K AO2 R P +DYNEER D IH0 - N IH1 R +DYNEER(2) D AY0 - N IH1 R +DYNES D AY1 N Z +DYSAN D AY1 - S AH0 N +DYSART D IH1 - S ER0 T +DYSENTERY D IH1 S - AH0 N - T EH2 - R IY0 +DYSERT D IH1 - S ER0 T +DYSFUNCTION D IH0 S - F AH1 NG K - SH AH0 N +DYSFUNCTIONAL D IH0 S - F AH1 NG K - SH AH0 - N AH0 L +DYSINGER D IH1 S - IH0 N - JH ER0 +DYSLEXIA D IH0 S - L EH1 K - S IY0 - AH0 +DYSLEXIC D IH0 S - L EH1 K - S IH0 K +DYSON D AY1 - S AH0 N +DYSPLASIA D IH0 - S P L EY1 - ZH AH0 +DYSTROPHIN D IH1 - S T R AH0 - F IH0 N +DYSTROPHY D IH1 S - T R AH0 - F IY0 +DZHIRKVELOV D AH0 - Z ER1 K - V AH0 - L AA0 V +DZHOKHAR JH OW2 - K AA1 R +DZHOKHAR'S JH OW2 - K AA1 R Z +DZIAK D Z IY1 - AE0 K +DZIALO JH IY0 - AA1 - L OW0 +DZIEDZIC JH IY1 - JH IH0 K +DZIEKAN JH IY1 - K AH0 N +DZIK D Z IH1 K +DZIKOWSKI JH IH0 - K AO1 F S - K IY0 +DZIUBA JH IY0 - UW1 - B AH0 +DZIUK JH IY0 - UW1 K +DZOKHAR JH OW2 - K AA1 R +E IY1 +E'S IY1 Z +E. IY1 +E.'S IY1 Z +E.S IY1 Z +EACH IY1 CH +EACHAN IY1 - CH AH0 N +EACHUS IY1 - CH AH0 S +EADDY IY1 - D IY0 +EADE IY1 D +EADER IY1 - D ER0 +EADES IY1 D Z +EADIE EH1 - D IY0 +EADS IY1 D Z +EADY IY1 - D IY0 +EAGAN IY1 - G AH0 N +EAGAR IY1 - G ER0 +EAGEN IY1 - G AH0 N +EAGER IY1 - G ER0 +EAGERLY IY1 - G ER0 - L IY0 +EAGERNESS IY1 - G ER0 - N AH0 S +EAGLE IY1 - G AH0 L +EAGLE'S IY1 - G AH0 L Z +EAGLEBURGER IY1 - G AH0 L - B ER0 - G ER0 +EAGLES IY1 - G AH0 L Z +EAGLESON IY1 - G AH0 L - S AH0 N +EAGLETON IY1 - G AH0 L - T AH0 N +EAGLEYE IY1 - G AH0 - L AY2 +EAGLIN IY1 - G L IH0 N +EAGON IY1 - G AH0 N +EAKEN IY1 - K AH0 N +EAKER IY1 - K ER0 +EAKES IY1 K S +EAKIN IY1 - K IH0 N +EAKINS IY1 - K IH0 N Z +EAKLE IY1 - K AH0 L +EALES IY1 L Z +EALEY IY1 - L IY0 +EALING IY1 - L IH0 NG +EALY IY1 - L IY0 +EAMER IY1 - M ER0 +EAMES IY1 M Z +EAMON IY1 - M AH0 N +EANES IY1 N Z +EAP IY1 - EY1 - P IY1 +EAP(2) IY1 P +EAR IH1 R +EAR(2) IY1 R +EARDLEY IH1 R D - L IY0 +EARDLEY(2) ER1 D - L IY0 +EARED IH1 R D +EARFULL IH1 R - F AH2 L +EARGLE IH1 R - G AH0 L +EARHART IH1 R - HH AA0 R T +EARHART(2) EH1 R - HH AA0 R T +EARL ER1 L +EARLDOM ER1 L - D AH0 M +EARLE ER1 L +EARLENE ER1 - L IY0 N +EARLES ER1 L Z +EARLESS IH1 R - L AH0 S +EARLESS(2) IY1 R - L AH0 S +EARLEY ER1 - L IY0 +EARLIE ER1 - L IY0 +EARLIER ER1 - L IY0 - ER0 +EARLIER'S ER1 - L IY0 - ER0 Z +EARLIEST ER1 - L IY0 - AH0 S T +EARLINE ER1 - L AY0 N +EARLL ER1 L +EARLS ER1 L Z +EARLY ER1 - L IY0 +EARLYWINE ER1 - L IY0 - W AY2 N +EARMARK IH1 R - M AA2 R K +EARMARK(2) IY1 R - M AA2 R K +EARMARKED IH1 R - M AA2 R K T +EARMARKED(2) IY1 R - M AA2 R K T +EARMARKING IH1 R - M AA2 R - K IH0 NG +EARMARKING(2) IY1 R - M AA2 R - K IH0 NG +EARMARKS IH1 R - M AA2 R K S +EARMARKS(2) IY1 R - M AA2 R K S +EARMUFF IH1 R - M AH2 F +EARMUFF(2) IY1 R - M AH2 F +EARMUFFS IH1 R - M AH2 F S +EARMUFFS(2) IY1 R - M AH2 F S +EARN ER1 N +EARNED ER1 N D +EARNER ER1 - N ER0 +EARNERS ER1 - N ER0 Z +EARNEST ER1 - N IH0 S T +EARNESTLY ER1 - N AH0 S T - L IY0 +EARNESTNESS ER1 - N AH0 S T - N AH0 S +EARNEY ER1 - N IY0 +EARNHARDT ER1 N - HH AA2 R T +EARNHART ER1 N - HH AA2 R T +EARNHEART ER1 N - HH AA2 R T +EARNING ER1 - N IH0 NG +EARNINGS ER1 - N IH0 NG Z +EARNINGS' ER1 - N IH0 NG Z +EARNS ER1 N Z +EARNSHAW ER1 N - SH AO2 +EARP ER1 P +EARPHONE IH1 R - F OW2 N +EARPHONE(2) IY1 R - F OW2 N +EARPHONES IH1 R - F OW2 N Z +EARPHONES(2) IY1 R - F OW2 N Z +EARPIECE IH1 R - P IY0 S +EARPIECE(2) IY1 R - P IY0 S +EARPIECES IH1 R - P IY0 - S IH0 Z +EARPIECES(2) IY1 R - P IY0 - S IH0 Z +EARPLUG IH1 R - P L AH2 G +EARPLUG(2) IY1 R - P L AH2 G +EARPLUGS IH1 R - P L AH2 G Z +EARPLUGS(2) IY1 R - P L AH2 G Z +EARRING IH1 - R IH0 NG +EARRING(2) IY1 - R IH0 NG +EARRINGS IH1 - R IH0 NG Z +EARRINGS(2) IY1 - R IH0 NG Z +EARS IH1 R Z +EARS(2) IY1 R Z +EARSHOT IH1 R - SH AA2 T +EARSHOT(2) IY1 R - SH AA2 T +EARTH ER1 TH +EARTH'S ER1 TH S +EARTHA ER1 - TH AH0 +EARTHBOUND ER1 TH - B AW2 N D +EARTHEN ER1 - TH AH0 N +EARTHENWARE ER1 - TH AH0 N - W EH2 R +EARTHLING ER1 TH - L IH0 NG +EARTHLINGS ER1 TH - L IH0 NG Z +EARTHLY ER1 TH - L IY0 +EARTHMOVING ER1 TH - M UW2 - V IH0 NG +EARTHQUAKE ER1 TH - K W EY2 K +EARTHQUAKE'S ER1 TH - K W EY2 K S +EARTHQUAKES ER1 TH - K W EY2 K S +EARTHS ER1 TH S +EARTHSHAKING ER1 TH - SH EY2 - K IH0 NG +EARTHSHINE ER1 TH - SH AY2 N +EARTHSTAR ER1 TH - S T AA2 R +EARTHWORK ER1 TH - W ER2 K +EARTHWORM ER1 TH - W ER2 M +EARTHWORMS ER1 TH - W ER2 M Z +EARTHY ER1 - TH IY0 +EARVIN ER1 - V IH0 N +EARWAX IH1 R - W AE2 K S +EARWAX(2) IY1 R - W AE2 K S +EARWOOD IH1 R - W UH2 D +EARWOOD(2) IY1 R - W UH2 D +EARY IH1 - R IY0 +EASCO IY1 - S K OW0 +EASE IY1 Z +EASED IY1 Z D +EASEL IY1 - Z AH0 L +EASEMENT IY1 Z - M AH0 N T +EASES IY1 - Z IH0 Z +EASH IY1 SH +EASIER IY1 - Z IY0 - ER0 +EASIEST IY1 - Z IY0 - AH0 S T +EASILY IY1 - Z AH0 - L IY0 +EASING IY1 - Z IH0 NG +EASLER IY1 Z - L ER0 +EASLEY IY1 Z - L IY0 +EASOM IY1 - Z AH0 M +EASON IY1 - Z AH0 N +EAST IY1 S T +EAST'S IY1 S T S +EASTBOUND IY1 S T - B AW2 N D +EASTBURN IY1 S T - B ER2 N +EASTDIL IY1 S T - D IH2 L +EASTEND IY1 - S T EH2 N D +EASTENDER IY1 - S T EH2 N - D ER0 +EASTENDERS IY1 - S T EH2 N - D ER0 Z +EASTEP IY1 Z - T IH0 P +EASTER IY1 - S T ER0 +EASTERBROOK IY1 - S T ER0 - B R UH2 K +EASTERDAY IY1 - S T ER0 - D EY2 +EASTERLIN AH0 Z - T ER1 - L IH0 N +EASTERLIN(2) IY1 - S T ER0 - L IH0 N +EASTERLING IY1 - S T ER0 - L IH0 NG +EASTERLY IY1 - S T ER0 - L IY0 +EASTERN IY1 - S T ER0 N +EASTERN'S IY1 - S T ER0 N Z +EASTERN-WEST IY1 - S T ER0 N - W EH1 S T +EASTERNER IY1 - S T ER0 - N ER0 +EASTERNERS IY1 - S T ER0 - N ER0 Z +EASTERWOOD IY1 - S T ER0 - W UH2 D +EASTES IY1 S T S +EASTGROUP IY1 - S T G R UW2 P +EASTHAM IY1 - S T AH0 M +EASTIN IY1 Z - T IH0 N +EASTLAND IY1 S T - L AH0 N D +EASTLAND'S IY1 S T - L AH0 N D Z +EASTLAND'S(2) IY1 S T - L AE0 N D Z +EASTLAND'S(3) IY1 S - L AH0 N D Z +EASTLAND'S(4) IY1 S - L AE0 N D Z +EASTLAND(2) IY1 S T - L AE0 N D +EASTLAND(3) IY1 S - L AH0 N D +EASTLAND(4) IY1 S - L AE0 N D +EASTLICK IY1 - S T L IH2 K +EASTMAN IY1 S T - M AH0 N +EASTMET IY1 - S T M EH2 T +EASTMET'S IY1 - S T M EH2 T S +EASTON IY1 - S T AH0 N +EASTOVER IY1 - S T OW2 - V ER0 +EASTPAC IY1 - S T P AE2 K +EASTPAC'S IY1 - S T P AE2 K S +EASTRIDGE IY1 - S T R IH2 JH +EASTWARD IY1 S T - W ER0 D +EASTWICK IY1 - S T W IH2 K +EASTWOOD IY1 S T - W UH2 D +EASTWOOD'S IY1 S T - W UH2 D Z +EASUDES EY2 S - UW1 - D EY0 S +EASY IY1 - Z IY0 +EASY'S IY1 - Z IY0 Z +EASYGOING IY1 - Z IY0 - G OW1 - IH0 NG +EAT IY1 T +EATABLE IY1 - T AH0 - B AH0 L +EATEN IY1 - T AH0 N +EATER IY1 - T ER0 +EATERIES IY1 - T ER0 - IY0 Z +EATERS IY1 - T ER0 Z +EATERY IY1 - T ER0 - IY0 +EATHERLY EH1 - DH ER0 - L IY0 +EATHERTON EH0 - TH ER1 - T AH0 N +EATHERTON(2) IY2 - TH ER1 - T AH0 N +EATING IY1 - T IH0 NG +EATMAN IY1 T - M AH0 N +EATMON IY1 T - M AH0 N +EATON IY1 - T AH0 N +EATON'S IY1 - T AH0 N Z +EATS IY1 T S +EAU OW1 +EAUX OW1 +EAUX(2) OW1 Z +EAVE IY1 V +EAVENSON IY1 - V IH0 N - S AH0 N +EAVES IY1 V Z +EAVESDROP IY1 V Z - D R AA2 P +EAVESDROPPING IY1 V Z - D R AA2 - P IH0 NG +EB EH1 B +EBA IY1 - B AH0 +EBAN EH1 - B AH0 N +EBAN(2) IY1 - B AH0 N +EBANKS EH1 - B AH0 NG K S +EBANO EH0 - B AA1 - N OW0 +EBANO(2) IY1 - B AH0 - N OW0 +EBARB EH1 - B AA0 R B +EBASCO EH0 - B AE1 - S K OW0 +EBAUGH EH1 - B AO0 +EBB EH1 B +EBBA EH1 - B AH0 +EBBED EH1 B D +EBBEN EH1 - B AH0 N +EBBERS EH1 - B ER0 Z +EBBERT EH1 - B ER0 T +EBBING EH1 - B IH0 NG +EBBS EH1 B Z +EBBY EH1 - B IY0 +EBEL EH1 - B AH0 L +EBELING EH1 - B AH0 L - IH0 NG +EBEN EH1 - B AH0 N +EBENEEZER EH1 - B AH0 - N IY2 - Z ER0 +EBENEZER EH2 - B IH0 - N IY1 - Z ER0 +EBER EH1 - B ER0 +EBERHARD EH1 - B ER0 - HH AA0 R T +EBERHARDT EH1 - B ER0 - HH AA2 R T +EBERHART EH1 - B ER0 - HH AA2 R T +EBERL EH1 - B ER0 L +EBERLE EH1 - B ER0 - AH0 L +EBERLEIN EH1 - B ER0 - L AY2 N +EBERLIN EH1 - B ER0 - L IH0 N +EBERLING EH1 - B ER0 - L IH0 NG +EBERLY EH1 - B ER0 - L IY0 +EBERS EH1 - B ER0 Z +EBERSOL EH1 - B ER0 - S AA0 L +EBERSOLD EH1 - B ER0 - S OW2 L D +EBERSOLE EH1 - B ER0 - S OW2 L +EBERSTADT EH1 - B ER0 - S T AE2 T +EBERT EH1 - B ER0 T +EBERTS EH1 - B ER0 T S +EBERWEIN EH1 - B ER0 - W AY2 N +EBEY EH1 - B IY0 +EBINGER EH1 - B IH0 - NG ER0 +EBLE EH1 - B AH0 L +EBLEN EH1 - B AH0 - L AH0 N +EBLIN EH1 - B L IH0 N +EBLING EH1 - B AH0 L - IH0 NG +EBLING(2) EH1 - B L IH0 NG +EBNER EH1 B - N ER0 +EBOLA IY0 - B OW1 - L AH0 +EBONICS IY0 - B AO1 - N IH0 K S +EBONY EH1 - B AH0 - N IY0 +EBRIGHT IH0 - B R AY1 T +EBRO IY1 - B R OW2 +EBRON EH1 - B R AH0 N +EBULLIENCE IH0 - B UH1 L - Y AH0 N S +EBULLIENT IH0 - B AH1 L - Y AH0 N T +EBY IY1 - B IY0 +ECAD IY1 - K AE2 D +ECCENTRIC IH0 K - S EH1 N - T R IH0 K +ECCENTRIC(2) EH2 K - S EH1 N - T R IH0 K +ECCENTRICITIES EH2 K - S EH0 N - T R IH1 - S IH0 - T IY0 Z +ECCENTRICITY EH2 K - S AH0 N - T R IH1 - S AH0 - T IY0 +ECCENTRICS IH0 K - S EH1 N - T R IH0 K S +ECCENTRICS(2) EH2 K - S EH1 N - T R IH0 K S +ECCLES EH1 - K AH0 L Z +ECCLESIASTIC IH0 - K L IY2 - Z IY0 - AE1 - S T IH0 K +ECCLESIASTICAL IH0 - K L IY2 - Z IY0 - AE1 - S T IH0 - K AH0 L +ECCLESTON EH1 - K AH0 L - S T AA0 N +ECEVIT EH1 - S AH0 - V IH0 T +ECHARD EH1 - CH ER0 D +ECHAVARRIA EH2 - CH AH0 - V AE1 - R IY0 - AH0 +ECHELON EH1 - SH AH0 - L AA2 N +ECHELONS EH1 - SH AH0 - L AA2 N Z +ECHENBERG EH1 - K AH0 N - B ER0 G +ECHEVARRIA EY0 - CH EY0 - V AA1 - R IY0 - AH0 +ECHEVERRIA EY0 - CH EY0 - V EH1 - R IY0 - AH0 +ECHLIN EH1 - K L IH0 N +ECHLIN'S EH1 - K L IH0 N Z +ECHO EH1 - K OW0 +ECHO'S EH1 - K OW0 Z +ECHOED EH1 - K OW0 D +ECHOES EH1 - K OW0 Z +ECHOHAWK EH1 - K OW0 - HH AO2 K +ECHOHAWK'S EH1 - K OW0 - HH AO2 K S +ECHOING EH1 - K OW0 - IH0 NG +ECHOLOCATION EH2 - K OW0 - L OW0 - K EY1 - SH AH0 N +ECHOLS EH1 - K AH0 L Z +ECHOS EH1 - K OW0 Z +ECK EH1 K +ECKARD EH1 - K ER0 D +ECKARD(2) EH1 K - HH AA2 R D +ECKARDT EH1 - K ER0 T +ECKARDT'S EH1 - K ER0 T S +ECKARDT'S(2) EH1 K - HH AA2 R T S +ECKARDT(2) EH1 K - HH AA2 R T +ECKART EH1 - K AA0 R T +ECKBERG EH1 K - B ER0 G +ECKEL EH1 - K AH0 L +ECKELBERRY EH1 - K AH0 L - B EH2 - R IY0 +ECKELS EH1 - K AH0 L Z +ECKENFELDER EH1 - K AH0 N - F EH2 L - D ER0 +ECKENROD EH1 - K IH0 N - R AH0 D +ECKENRODE EH1 - K IH0 N - R OW2 D +ECKENROTH EH1 - K IH0 N - R AO0 TH +ECKER EH1 - K ER0 +ECKERD EH1 - K ER0 D +ECKERLE EH1 - K ER0 - AH0 L +ECKERMAN EH1 - K ER0 - M AH0 N +ECKERSLEY EH1 - K ER0 S - L IY0 +ECKERSON EH1 - K ER0 - S AH0 N +ECKERT EH1 - K ER0 T +ECKES EH1 K S +ECKHARD EH1 K - HH AA2 R D +ECKHARDT EH1 K - HH AA2 R T +ECKHART EH1 K - HH AA2 R T +ECKHOFF EH1 K - HH AO2 F +ECKL EH1 - K AH0 L +ECKLAND EH1 K - L AH0 N D +ECKLER EH1 - K L ER0 +ECKLES EH1 - K AH0 L Z +ECKLEY EH1 K - L IY0 +ECKLUND EH1 K - L AH0 N D +ECKMAN EH1 K - M AH0 N +ECKMANN EH1 K - M AH0 N +ECKRICH EH1 - K R IH0 K +ECKROTE EH1 - K R AH0 T +ECKROTH EH1 - K R AO2 TH +ECKSTEIN EH1 K - S T IY2 N +ECKSTEIN(2) EH1 K - S T AY2 N +ECKSTROM EH1 K - S T R AH0 M +ECLECTIC IH0 - K L EH1 K - T IH0 K +ECLIPSE IH0 - K L IH1 P S +ECLIPSE(2) AH0 - K L IH1 P S +ECLIPSE(3) IY0 - K L IH1 P S +ECLIPSED IH0 - K L IH1 P S T +ECLIPSED(2) AH0 - K L IH1 P S T +ECLIPSED(3) IY0 - K L IH1 P S T +ECLIPSES IH0 - K L IH1 P - S AH0 Z +ECLIPSES(2) IH0 - K L IH1 P - S IH0 Z +ECLIPSES(3) AH0 - K L IH1 P - S IH0 Z +ECLIPSES(4) IY0 - 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M IY0 Z +ECONOMY(2) IY0 - K AA1 - N AH0 - M IY0 +ECONSHIPS IY1 - K AA2 N - SH IH2 P S +ECOSYSTEM IY1 - K OW0 - S IH2 - S T AH0 M +ECOSYSTEMS IY1 - K OW0 - S IH2 - S T AH0 M Z +ECRU EH1 - K R UW0 +ECSTASY EH1 K - S T AH0 - S IY0 +ECSTATIC EH0 K - S T AE1 - T IH0 K +ECSTATICALLY EH0 K - S T AE1 - T IH0 K - L IY0 +ECTON EH1 K - T AH0 N +ECTOR EH1 K - T ER0 +ECUADOR EH1 - K W AH0 - D AO2 R +ECUADOR'S EH1 - K W AH0 - D AO2 R Z +ECUADORAN EH2 - K W AH0 - D AO1 - R AH0 N +ECUADOREAN EH2 - K W AH0 - D AO1 - R IY0 - AH0 N +ECUADORIAN EH2 - K W AH0 - D AO1 - R IY0 - AH0 N +ECUMENA EH2 - K Y UW0 - M IY1 - N AH0 +ECUMENICAL EH2 - K Y UW0 - M EH1 - N IH0 - K AH0 L +ECZEMA EH1 K - S AH0 - M AH0 +ED EH1 D +ED'S EH1 D Z +EDA IY1 - D AH0 +EDAM IY1 - D AH0 M +EDAN IY1 - D AH0 N +EDANA EH0 - D AE1 - N AH0 +EDBERG EH1 D - B ER0 G +EDBERT EH1 D - B ER0 T +EDDIE EH1 - D IY0 +EDDIE'S EH1 - D IY2 Z +EDDIES EH1 - D IY0 Z +EDDINGER EH1 - D IH0 - NG ER0 +EDDINGS EH1 - D IH0 NG Z +EDDINGTON EH1 - D IH0 NG - T AH0 N +EDDINS EH1 - D IH0 N Z +EDDLEMAN EH1 - D AH0 L - M AH0 N +EDDLEMON EH1 - D AH0 L - M AA0 N +EDDS EH1 D Z +EDDY EH1 - D IY0 +EDE IY1 D +EDEL EH1 - D AH0 L +EDELEN EH1 - D AH0 - L AH0 N +EDELINE EH1 - D IH0 - L AY0 N +EDELL IH0 - D EH1 L +EDELMAN EH1 - D AH0 L - M AH0 N +EDELMAN'S EH1 - D AH0 L - M AH0 N Z +EDELMAN'S(2) EY1 - D AH0 L - M AH0 N Z +EDELMAN(2) EY1 - D AH0 L - M AH0 N +EDELMANN EH1 - D AH0 L - M AH0 N +EDELMAR EH1 - D IH0 L - M ER0 +EDELSON EH1 - D IH0 L - S AH0 N +EDELSTEIN EH1 - D AH0 L - S T AY2 N +EDELSTEIN(2) EH1 - D AH0 L - S T IY2 N +EDELWEISS EY1 - D AH0 L - V AY2 S +EDEMA IH0 - D IY1 - M AH0 +EDEN IY1 - D AH0 N +EDENFIELD EH1 - D AH0 N - F IY2 L D +EDENS IY1 - D AH0 N Z +EDENTON EH1 - D AH0 N - T AH0 N +EDER EH1 - D ER0 +EDERER EH1 - D ER0 - ER0 +EDES IY1 D Z +EDGAR EH1 D - G ER0 +EDGAR'S EH1 D - G ER0 Z +EDGCOMB EH1 JH - K AH0 M +EDGE EH1 JH +EDGECOMB EH1 JH - K AO0 M +EDGECOMBE EH1 JH - K OW0 M +EDGED EH1 JH D +EDGELL EH1 - JH AH0 L +EDGEMON EH1 JH - M AH0 N +EDGER EH1 - JH ER0 +EDGERLY EH1 - JH ER0 - L IY0 +EDGERTON EH1 - JH ER0 - T AH0 N +EDGES EH1 - JH AH0 Z +EDGES(2) EH1 - JH IH0 Z +EDGETT EH1 - JH IH0 T +EDGEWAY EH1 JH - W EY2 +EDGEWAYS EH1 JH - W EY2 Z +EDGEWISE EH1 JH - W AY2 Z +EDGEWOOD EH1 JH - W UH2 D +EDGEWORTH EH1 JH - W ER0 TH +EDGIN EH1 - JH IH0 N +EDGINESS EH1 - JH IY0 - N AH0 S +EDGING EH1 - JH IH0 NG +EDGINGTON EH1 - JH IH0 NG - T AH0 N +EDGINGTON'S EH1 - JH IH0 NG - T AH0 N Z +EDGLEY EH1 JH - L IY0 +EDGMON EH1 JH - M AH0 N +EDGREN EH1 D - G R EH0 N +EDGY EH1 - JH IY0 +EDI IY1 - D IY0 +EDIBLE EH1 - D AH0 - B AH0 L +EDIBLES EH1 - D AH0 - B AH0 L Z +EDICK EH1 - D IH0 K +EDICT IY1 - D IH0 K T +EDICTS IY1 - D IH0 K T S +EDIE EH1 - D IY0 +EDIFICATION EH2 - D AH0 - F AH0 - K EY1 - SH AH0 N +EDIFICE EH1 - D AH0 - F AH0 S +EDIFY EH1 - D AH0 - F AY2 +EDIFYING EH1 - D AH0 - F AY2 - IH0 NG +EDIGER EH1 - D IH0 - G ER0 +EDIN EH1 - D IH0 N +EDINA AH0 - D IY1 - N AH0 +EDINBORO EH1 - D AH0 N - B ER0 - OW0 +EDINBURGH EH1 - D AH0 N - B ER0 - OW0 +EDINGER EH1 - D IH0 - NG ER0 +EDINGTON EH1 - D IH0 NG - T AH0 N +EDISON EH1 - D IH0 - S AH0 N +EDISON'S EH1 - D IH0 - S AH0 N Z +EDISTO EH1 - D IH0 - S T OW0 +EDIT EH1 - D AH0 T +EDITED EH1 - D AH0 - T AH0 D +EDITED(2) EH1 - D IH0 - T IH0 D +EDITH IY1 - D IH0 TH +EDITHA EH1 - D IH0 - DH AH0 +EDITHE EH1 - D IH0 DH +EDITING EH1 - D AH0 - T IH0 NG +EDITING(2) EH1 - D IH0 - T IH0 NG +EDITION AH0 - D IH1 - SH AH0 N +EDITION'S IH0 - D IH1 - SH AH0 N Z +EDITION(2) IH0 - D IH1 - SH AH0 N +EDITIONS IH0 - D IH1 - SH AH0 N Z +EDITOR EH1 - D AH0 - T ER0 +EDITOR'S EH1 - D IH0 - T ER0 Z +EDITOR(2) EH1 - D IH0 - T ER0 +EDITORIAL EH2 - D AH0 - T AO1 - R IY0 - AH0 L +EDITORIAL'S EH2 - D AH0 - T AO1 - R IY0 - AH0 L Z +EDITORIALIST EH2 - D AH0 - T AO1 - R IY0 - AH0 - L IH0 S T +EDITORIALISTS EH2 - D AH0 - T AO1 - R IY0 - AH0 - L IH0 S T S +EDITORIALISTS(2) EH2 - D AH0 - T AO1 - R IY0 - AH0 - L IH0 S S +EDITORIALISTS(3) EH2 - D AH0 - T AO1 - R IY0 - AH0 - L IH0 S +EDITORIALIZE EH2 - D AH0 - T AO1 - R IY0 - AH0 - L AY2 Z +EDITORIALIZED EH2 - D AH0 - T AO1 - R IY0 - AH0 - L AY2 Z D +EDITORIALIZING EH2 - D AH0 - T AO1 - R IY0 - AH0 - L AY2 - Z IH0 NG +EDITORIALLY EH2 - D AH0 - T AO1 - R IY0 - AH0 - L IY0 +EDITORIALS EH2 - D AH0 - T AO1 - R IY0 - AH0 L Z +EDITORS EH1 - D IH0 - T ER0 Z +EDITORS' EH1 - D IH0 - T ER0 Z +EDITORSHIP EH1 - D AH0 - T ER0 - SH IH2 P +EDITS EH1 - D IH0 T S +EDIVA EH0 - D IY1 - V AH0 +EDIVAL EH0 - D IY1 - V AH0 L +EDIVAL(2) EH1 - D IY0 - V AE2 L +EDIZIONE EH0 - D IY2 - Z IY0 - OW1 - N IY0 +EDLEMAN EH1 - D AH0 L - M AH0 N +EDLER EH1 D - L ER0 +EDLEY EH1 D - L IY0 +EDLIN EH1 D - L IH0 N +EDLING EH1 D - L IH0 NG +EDLUND EH1 D - L AH0 N D +EDLYN EH1 D - L IH0 N +EDMAN EH1 D - M AH0 N +EDMANDS EH1 D - M AH0 N D Z +EDMAR EH1 D - M AA0 R +EDMARK EH1 D - M AA0 R K +EDMINSTER IH0 D - M IH1 N - S T ER0 +EDMISON EH1 D - M IH0 - S AH0 N +EDMISTEN EH0 D - M IH1 - S AH0 N +EDMISTER EH1 D - M IH0 - S T ER0 +EDMISTON EH1 D - M IH0 - S T AA0 N +EDMOND EH1 D - M AH0 N D +EDMONDA EH2 D - M AA1 N - D AH0 +EDMONDS EH1 D - M AH0 N D Z +EDMONDSON EH1 D - M AH0 N D - S AH0 N +EDMONSON EH1 D - M AH0 N - S AH0 N +EDMONSTON IH0 D - M AA1 N - S T AH0 N +EDMONTON EH1 D - M AH0 N - T AH0 N +EDMUND EH1 D - M AH0 N D +EDMUNDA EH2 D - M AH1 N - D AH0 +EDMUNDO EH2 D - M AH1 N - D OW0 +EDMUNDS EH1 D - M AH0 N D Z +EDMUNDSON EH1 D - M AH0 N D - S AH0 N +EDNA EH1 D - N AH0 +EDNEY EH1 D - N IY0 +EDO IY1 - D OW0 +EDOARDO EH2 D - W AA1 R - D OW0 +EDOLF EH1 - D OW0 L F +EDOUARD EH1 - D UW0 - AA0 R D +EDPER EH1 D - P ER0 +EDQUIST EH1 D - K W IH2 S T +EDRA EH1 - D R AH0 +EDREA EH1 - D R IY0 - AH0 +EDRIC EH1 D - R IH0 K +EDRINGTON EH1 - D ER0 - IH0 NG - T AH0 N +EDRIS IH0 - D R IY1 S +EDSALL IH0 D - S AO1 L +EDSEL EH1 D - S AH0 L +EDSON EH1 D - S AH0 N +EDSTROM EH1 D - S T R AH0 M +EDUARD EH1 D - W ER0 D +EDUARDO EH0 D - W AA1 R - D OW0 +EDUCATE EH1 - JH AH0 - K EY2 T +EDUCATE(2) EH1 - JH Y UW0 - K EY2 T +EDUCATED EH1 - JH AH0 - K EY2 - T AH0 D +EDUCATED(2) EH1 - JH Y UW0 - K EY2 - T AH0 D +EDUCATES EH1 - JH AH0 - K EY2 T S +EDUCATES(2) EH1 - JH Y AH0 - K EY2 T S +EDUCATES(3) EH1 - JH UW0 - K EY2 T S +EDUCATES(4) EH1 - JH Y UW0 - K EY2 T S +EDUCATING EH1 - JH AH0 - K EY2 - T IH0 NG +EDUCATING(2) EH1 - JH Y UW0 - K EY2 - T IH0 NG +EDUCATION EH2 - JH AH0 - K EY1 - SH AH0 N +EDUCATION'S EH2 - JH AH0 - K EY1 - SH AH0 N Z +EDUCATION'S(2) EH2 - JH Y UW0 - K EY1 - SH AH0 N Z +EDUCATION(2) EH2 - JH Y UW0 - K EY1 - SH AH0 N +EDUCATIONAL EH2 - JH AH0 - K EY1 - SH AH0 - N AH0 L +EDUCATIONAL(2) EH2 - JH Y UW0 - K EY1 - SH AH0 - N AH0 L +EDUCATIONALLY EH2 - JH AH0 - K EY1 - SH AH0 N - AH0 - L IY0 +EDUCATIONALLY(2) EH2 - JH AH0 - K EY1 SH - N AH0 - L IY0 +EDUCATIONALLY(3) EH2 - JH Y UW0 - K EY1 - SH AH0 N - AH0 - L IY0 +EDUCATIONALLY(4) EH2 - JH Y UW0 - K EY1 SH - N AH0 - L IY0 +EDUCATIONS EH2 - JH AH0 - K EY1 - SH AH0 N Z +EDUCATIONS(2) EH2 - JH Y UW0 - K EY1 - SH AH0 N Z +EDUCATOR EH1 - JH AH0 - K EY2 - T ER0 +EDUCATOR(2) EH1 - JH Y UW0 - K EY2 - T ER0 +EDUCATORS EH1 - JH AH0 - K EY2 - T ER0 Z +EDUCATORS(2) EH1 - JH Y UW0 - K EY2 - T ER0 Z +EDWALD IH0 D - W AO1 L D +EDWARD EH1 D - W ER0 D +EDWARD'S EH1 D - W ER0 D Z +EDWARDIAN EH0 D - W AO1 R - D IY0 - AH0 N +EDWARDINE IH0 D - W AO1 R - D AY0 N +EDWARDS EH1 D - W ER0 D Z +EDWARDS' EH1 D - W ER0 D Z +EDWARDS'S EH1 D - W ER0 D - Z IH0 Z +EDWARDSON EH1 D - W AO0 R D - S AH0 N +EDWIN EH1 D - W AH0 N +EDWIN(2) EH1 D - W IH0 N +EDWINA EH0 D - W IY1 - N AH0 +EDYE EH1 - D IY0 +EDYE(2) IY1 - D IY0 +EDYTH EH1 - D IH0 TH +EDYTHE EH1 - D AY0 DH +EDZARD EH1 D - Z ER0 D +EE IY1 +EEG IY1 G +EEL IY1 L +EELAM IY1 - L AE0 M +EELGRASS IY1 L - G R AE2 S +EELLIKE IY1 L - L AY2 K +EELPOUT IY1 L P - AW2 T +EELPOUTS IY1 L P - AW2 T S +EELS IY1 L Z +EEO IY1 - IY1 - OW1 +EERIE IH1 - R IY0 +EERILY IH1 - R AH0 - L IY0 +EFAW EH1 - F AO0 +EFFACE IH0 - F EY1 S +EFFACING IH0 - F EY1 - S IH0 NG +EFFECT IH0 - F EH1 K T +EFFECT(2) IY1 - F EH0 K T +EFFECT(3) AH0 - F EH1 K T +EFFECTED IH0 - F EH1 K - T AH0 D +EFFECTED(2) IH0 - F EH1 K - T IH0 D +EFFECTED(3) IY1 - F EH0 K - T AH0 D +EFFECTED(4) IY1 - F EH0 K - T IH0 D +EFFECTING IH0 - F EH1 K - T IH0 NG +EFFECTING(2) IY1 - F EH0 K - T IH0 NG +EFFECTIVE IH0 - F EH1 K - T IH0 V +EFFECTIVE(2) IY1 - F EH0 K - T IH0 V +EFFECTIVELY IH0 - F EH1 K - T IH0 V - L IY0 +EFFECTIVELY(2) IY1 - F EH0 K - T IH0 V - L IY0 +EFFECTIVENESS IH0 - F EH1 K - T IH0 V - N AH0 S +EFFECTIVENESS(2) IY1 - F EH0 K - T IH0 V - N AH0 S +EFFECTS IH0 - F EH1 K T S +EFFECTS(2) IH0 - F EH1 K S +EFFECTS(3) IY1 - F EH0 K T S +EFFECTS(4) IY1 - F EH0 K S +EFFECTUATE IH0 - F EH1 K - CH UW0 - EY2 T +EFFEMINATE IY0 - F EH1 - M IH0 - N AH0 T +EFFERENT EH1 - F ER0 - AH0 N T +EFFERSON EH1 - F ER0 - S AH0 N +EFFERTZ EH1 - F ER0 T S +EFFERVESCENT EH2 - F ER0 - V EH1 - S AH0 N T +EFFETE EH0 - F IY1 T +EFFICACIOUS EH2 - F AH0 - K EY1 - SH AH0 S +EFFICACY EH1 - F IH0 - K AE2 - S IY0 +EFFICIENCIES IH0 - F IH1 - SH AH0 N - S IY0 Z +EFFICIENCY IH0 - F IH1 - SH AH0 N - S IY0 +EFFICIENT IH0 - F IH1 - SH AH0 N T +EFFICIENTLY IH0 - F IH1 - SH AH0 N T - L IY0 +EFFIE EH1 - F IY0 +EFFIGY EH1 - F IH0 - JH IY0 +EFFINGER EH1 - F IH0 - NG ER0 +EFFINGHAM EH1 - F IH0 - NG AH0 M +EFFINGHAM(2) EH1 - F IH0 NG - HH AH0 M +EFFLER EH1 - F L ER0 +EFFLUENT EH1 - F L UW0 - AH0 N T +EFFLUX EH1 - F L AH0 K S +EFFORT EH1 - F ER0 T +EFFORTLESS EH1 - F ER0 T - L AH0 S +EFFORTLESSLY EH1 - F ER0 T - L AH0 S - L IY0 +EFFORTS EH1 - F ER0 T S +EFFRON EH1 - F R AH0 N +EFFRONTERY IH0 - F R AH1 N - T ER0 - IY0 +EFFUSIVE EH1 - F Y UW0 - S IH0 V +EFFUSIVELY IH0 - F Y UW1 - S IH0 V - L IY0 +EFFY EH1 - F IY0 +EFIRD EH1 - F ER0 D +EFRON EH1 - F R AH0 N +EFTA EH1 F - T AH0 +EGALDEY IY1 - G AH0 L - D EY0 +EGALITARIAN IH0 - G AE2 - L AH0 - T EH1 - R IY0 - AH0 N +EGALITARIANISM IY0 - G AE2 - L AH0 - T EH1 - R IY0 - AH0 - N IH2 - Z AH0 M +EGAN IY1 - G AH0 N +EGBERT EH1 G - B ER0 T +EGBERTA EY0 G - B EH1 R - T AH0 +EGBERTINA EH0 G - B ER0 - T IY1 - N AH0 +EGBERTINE EH1 G - B ER0 - T IY2 N +EGBERTS EH1 G - B ER0 T S +EGE IY1 JH +EGELAND EH1 - G IH0 - L AH0 N D +EGELER EH1 - G AH0 - L ER0 +EGELHOFF EH1 - G IH0 L - HH AO0 F +EGELSTON EH1 - G IH0 L - S T AH0 N +EGELTON EH1 - G AH0 L - T AH0 N +EGER IY1 - G ER0 +EGERER EH1 - G ER0 - ER0 +EGERT EH1 - G ER0 T +EGERTON EH1 - G ER0 - T AH0 N +EGG EH1 G +EGGE EH1 G +EGGEBRECHT EH1 - G IH0 - B R IH0 K T +EGGED EH1 G D +EGGEMEYER EH1 - G IH0 - M AY2 - ER0 +EGGEN EH1 - G AH0 N +EGGENBERGER EH1 - G AH0 N - B ER0 - G ER0 +EGGER EH1 - G ER0 +EGGERS EH1 - G ER0 Z +EGGERT EH1 - G ER0 T +EGGHEAD EH1 G - HH EH2 D +EGGHEAD'S EH1 G - HH EH2 D Z +EGGLESTON EH1 - G AH0 L - S T AH0 N +EGGLETON EH1 - G AH0 L - T AA0 N +EGGPLANT EH1 G - P L AE2 N T +EGGPLANTS EH1 G - P L AE2 N T S +EGGS EH1 G Z +EGGSHELL EH1 G - SH EH2 L +EGGSHELLS EH1 G - SH EH2 L Z +EGGUM EH1 - G AH0 M +EGLAND EH1 G - L AH0 N D +EGLANTINE EH1 G - L AH0 N - T AY2 N +EGLE EH1 - G AH0 L +EGLER EH1 G - L ER0 +EGLESTON EH1 - G AH0 L - S T AA0 N +EGLEY EH1 G - L IY0 +EGLI EH1 G - L IY0 +EGLIN EH1 G - L IH0 N +EGLISE EH2 G - L IY1 S +EGLOFF EH1 G - L AO0 F +EGLY EH1 G - L IY0 +EGNER EH1 G - N ER0 +EGNEW IH0 G - N UW1 +EGNOR EH1 G - N ER0 +EGO IY1 - G OW0 +EGOCENTRIC IY2 - G OW0 - S EH1 N - T R IH0 K +EGOISM IY1 - G OW0 - IH2 - Z AH0 M +EGOLF EH1 - G OW0 L F +EGOMANIAC IY2 - G OW0 - M EY1 - N IY0 - AE0 K +EGON IY1 - G AH0 N +EGON(2) IY1 - G AA2 N +EGOS IY1 - G OW0 Z +EGOTISM IY1 - G AH0 - T IH2 - Z AH0 M +EGOTIST IY1 - G AH0 - T IH0 S T +EGOTISTICAL IY2 - G AH0 - T IH1 - S T IH0 - K AH0 L +EGREGIOUS IH0 - G R IY1 - JH AH0 S +EGREGIOUSLY IH0 - G R IY1 - JH AH0 S - L IY0 +EGRESS IH0 - G R EH1 S +EGYPT IY1 - JH AH0 P T +EGYPT'S IY1 - JH AH0 P T S +EGYPT'S(2) IY1 - JH IH0 P T S +EGYPT(2) IY1 - JH IH0 P T +EGYPTAIR IY1 - JH IH0 P - T EH2 R +EGYPTIAN IH0 - JH IH1 P - SH AH0 N +EGYPTIANS IH0 - JH IH1 P - SH AH0 N Z +EGYPTOLOGY IY2 - JH AH0 P - T AA1 - L AH0 - JH IY0 +EH EH1 +EHINGER EH1 - HH IH0 N - JH ER0 +EHLE EH1 L +EHLEN EH1 - L AH0 N +EHLER EH1 - L ER0 +EHLERS EH1 - L ER0 Z +EHLERT EH1 - L ER0 T +EHLINGER EH1 - L IH0 - NG ER0 +EHLKE EH1 L K +EHLY EH1 - L IY0 +EHMAN EH1 - M AH0 N +EHMANN EH1 - M AH0 N +EHMEN EH1 - M EH0 N +EHMKE EH1 M - K IY0 +EHREN EH1 - R AH0 N +EHRENBERG EH1 - R AH0 N - B ER0 G +EHRENFELD EH1 - R IH0 N - F EH0 L D +EHRENHALT EH1 - R AH0 N - HH AO2 L T +EHRENKRANTZ EH1 - R AH0 N - K R AE2 N T S +EHRENREICH EH1 - R IH0 N - R AY0 K +EHRENREICH(2) EH1 - R AH0 N - R IH2 CH +EHRESMAN EH1 - R IH0 S - M AH0 N +EHRET EH1 - R IH0 T +EHRHARD EH1 R - HH ER0 D +EHRHARDT EH1 R - HH AA0 R T +EHRHART EH1 R - HH AA0 R T +EHRICH EH1 - R IH0 K +EHRIG EH1 - R IH0 G +EHRKE EH1 R K +EHRLER EH1 R - L ER0 +EHRLICH ER1 - L IH0 K +EHRLICHMAN ER1 - L IH0 K - M AH0 N +EHRMAN EH1 R - M AH0 N +EHRMANN EH1 R - M AH0 N +EHRSAM EH1 R - S AH0 M +EHUD EH0 - HH AH1 D +EIBEN AY1 - B AH0 N +EICH AY1 K +EICHBERG AY1 K - B ER0 G +EICHEL AY1 - K AH0 L +EICHELBERGER AY1 - K AH0 L - B ER0 - G ER0 +EICHEN AY1 - K AH0 N +EICHENBAUM AY1 - K AH0 N - B AW2 M +EICHENBERG AY1 - K AH0 N - B ER0 G +EICHENBERGER AY1 - K AH0 N - B ER0 - G ER0 +EICHENLAUB AY1 - K IH0 N - L AW0 B +EICHER AY1 - K ER0 +EICHHOLZ AY1 K - HH OW0 L Z +EICHHORN AY1 K - HH ER0 N +EICHHORST AY1 K - HH AO0 R S T +EICHINGER AY1 - K IH0 N - JH ER0 +EICHLER AY1 - K AH0 - L ER0 +EICHLER(2) AY1 - K L ER0 +EICHMAN AY1 K - M AH0 N +EICHMANN AY1 K - M AH0 N +EICHNER AY1 K - N ER0 +EICHOLTZ AY1 - K OW0 L T S +EICHORN AY1 - K AO0 R N +EICHORST AY1 K - HH AO0 R S T +EICHSTADT AY1 K - S T AE0 T +EICHSTAEDT AY1 K - S T AE0 T +EICK AY1 K +EICKHOFF AY1 K - HH AO2 F +EICKHOLT AY1 K - HH OW2 L T +EICKMEYER AY1 K - M AY0 - ER0 +EID AY1 D +EIDE AY1 D +EIDEM AY1 - D IH0 M +EIDEN AY1 - D AH0 N +EIDSON IY1 D - S AH0 N +EIERMANN AY1 R - M AH0 N +EIFERT AY1 - F ER0 T +EIFFEL AY1 - F AH0 L +EIFLER AY1 - F AH0 - L ER0 +EIFLER(2) AY1 F - L ER0 +EIGEN AY1 - G AH0 N +EIGHMEY EY1 - M IY0 +EIGHMY EY1 G - M IY0 +EIGHT EY1 T +EIGHT'S EY1 T S +EIGHTEEN EY0 - T IY1 N +EIGHTEEN'S EY0 - T IY1 N Z +EIGHTEEN(2) EY1 - T IY1 N +EIGHTEENS EY0 - T IY1 N Z +EIGHTEENTH EY0 - T IY1 N TH +EIGHTEENTH(2) EY1 - T IY1 N TH +EIGHTFOLD EY1 T - F OW2 L D +EIGHTH EY1 T TH +EIGHTH(2) EY1 TH +EIGHTHS EY1 T TH S +EIGHTIES EY1 - T IY0 Z +EIGHTIETH EY1 - T IY0 - IH0 TH +EIGHTS EY1 T S +EIGHTY EY1 - T IY0 +EIGHTY'S EY1 - T IY0 Z +EIGNER AY1 G - N ER0 +EIICHI EY0 - IY1 - CH IY0 +EIJI EY1 - JH IY0 +EIKE AY1 K +EIKENBERRY IY1 - K AH0 N - B EH0 - R IY0 +EILAN AY1 - L AH0 N +EILAND AY1 - L AH0 N D +EILEEN AY0 - L IY1 N +EILER AY1 - L ER0 +EILERMAN AY1 - L ER0 - M AH0 N +EILERS AY1 - L ER0 Z +EILERT AY1 - L ER0 T +EILEY AY1 - L IY0 +EILTS AY1 L T S +EIMER AY1 - M ER0 +EIMERS AY1 - M ER0 Z +EIN AY1 N +EINAR AY1 - N ER0 +EINBENDER AY1 N - B EH2 N - D ER0 +EINDHOVEN AY1 N D - HH OW2 - V AH0 N +EINHORN AY1 N - HH AO2 R N +EINON AY1 - N AO0 N +EINON'S AY1 - N AO0 N Z +EINSPAHR AY1 N - S P AA0 R +EINSTEIN AY1 N - S T AY0 N +EINSTEIN'S AY1 N - S T AY0 N Z +EIR AY1 R +EIRENA ER0 - EY1 - N AH0 +EIRICH AY1 - R IH0 K +EIS AY1 Z +EISA EY1 - S AH0 +EISAI AY1 - S AY2 +EISAMAN AY1 - S AH0 - M AH0 N +EISCHEID AY1 - SH AY0 D +EISCHEN AY1 - SH AH0 N +EISCHENS AY1 - SH AH0 N Z +EISEL AY1 - S AH0 L +EISELE AY1 - S AH0 L +EISEMAN AY1 S - M AH0 N +EISEMANN AY1 S - M AH0 N +EISEN AY1 - S AH0 N +EISENACH AY1 - Z AH0 - N AA2 K +EISENBACH AY1 - Z AH0 N - B AA0 K +EISENBARTH AY1 - Z AH0 N - B AA0 R TH +EISENBEIS AY1 - Z AH0 N - B AY0 S +EISENBERG AY1 - Z AH0 N - B ER0 G +EISENBERGER AY1 - Z AH0 N - B ER0 - G ER0 +EISENBRAUN AY1 - Z AH0 N - B R AW0 N +EISENHARDT AY1 - Z AH0 N - HH AA0 R T +EISENHART AY1 - Z AH0 N - HH AA0 R T +EISENHAUER AY1 - Z AH0 N - HH AW0 - ER0 +EISENHOUR AY1 - Z AH0 - N AW0 R +EISENHOWER AY1 - Z AH0 N - HH AW2 - ER0 +EISENHOWER'S AY1 - Z AH0 N - HH AW2 - ER0 Z +EISENHOWERS AY1 - Z AH0 N - HH AW2 - ER0 Z +EISENHUT AY1 - Z AH0 N - HH AH0 T +EISENHUTH AY1 - Z AH0 N - HH UW0 TH +EISENMAN AY1 - Z AH0 N - M AH0 N +EISENMANN AY1 - Z AH0 N - M AH0 N +EISENMENGER AY1 - Z AH0 N - M EH0 - NG ER0 +EISENSTADT AY1 - Z AH0 N - S T AE0 T +EISENSTEIN AY1 - Z AH0 N - S T AY0 N +EISENSTEIN(2) AY1 - Z AH0 N - S T IY0 N +EISERMAN AY1 - Z ER0 - M AH0 N +EISERT AY1 - S ER0 T +EISHI EY1 - SH IY0 +EISIN AY1 - S AH0 N +EISINGER AY1 - S IH0 N - JH ER0 +EISLER AY1 S - L ER0 +EISMAN AY1 S - M AH0 N +EISNER AY1 S - N ER0 +EISNER'S AY1 S - N ER0 Z +EISON AY1 - Z AH0 N +EISSLER AY1 - S AH0 - L ER0 +EISSLER(2) AY1 S - L ER0 +EISZNER AY1 Z - N ER0 +EITEL AY1 - T AH0 L +EITHER IY1 - DH ER0 +EITHER(2) AY1 - DH ER0 +EITZEN AY1 T - Z AH0 N +EIZENSTAT AY1 - Z AH0 N - S T AE2 T +EJACULATE IH0 - JH AE1 - K Y UW0 - L EY2 T +EJACULATION IY0 - JH AE2 - K Y UW0 - L EY1 - SH AH0 N +EJECT IH0 - JH EH1 K T +EJECTED IH0 - JH EH1 K - T IH0 D +EJECTION IH0 - JH EH1 K - SH AH0 N +EJUP IY1 - JH AH0 P +EJUP'S IY1 - JH AH0 P S +EJUP'S(2) IY1 - JH UW0 P S +EJUP(2) IY1 - JH UW0 P +EK EH1 K +EK(2) IY1 - K EY1 +EKA EH1 - K AH0 +EKATERINA EY0 - K AA0 - T EH0 - R IY1 - N AH0 +EKBERG EH1 K - B ER0 G +EKBLAD EH1 K - B L AE2 D +EKCO EH1 - K OW0 +EKDAHL EH1 K - D AA2 L +EKE IY1 K +EKED IY1 K T +EKERN EH1 - K ER0 N +EKEUS IY2 - K UW1 S +EKHOLM EH1 K - HH OW2 L M +EKING IY1 - K IH0 NG +EKINS EH1 - K IH0 N Z +EKK IY1 - K EY1 - K EY1 +EKKEHARD EH1 K - HH AA2 R D +EKLUND EH1 K - L AH0 N D +EKMAN EH1 K - M AH0 N +EKO EH1 - K OW0 +EKOFISK EH1 - K AH0 - F IH0 S K +EKSPORTFINANS EH1 K - S P AO2 R T - F IH0 - N AH0 N Z +EKSTRAND EH1 K - S T R AH0 N D +EKSTROM EH1 K - S T R AH0 M +EL EH1 L +EL-GRECO EH1 L - G R EH1 - K OW0 +EL-PASO EH1 L - P AE1 - S OW0 +EL-SALVADOR EH1 L - S AE1 L - V AH0 - D AO2 R +ELA EH1 - L AH0 +ELABORATE IH0 - L AE1 - B R AH0 T +ELABORATE(2) IH0 - L AE1 - B ER0 - EY2 T +ELABORATED IH0 - L AE1 - B ER0 - EY0 - T AH0 D +ELABORATELY IH0 - L AE1 - B R AH0 T - L IY0 +ELABORATES IH0 - L AE1 - B ER0 - EY2 T S +ELABORATING IH0 - L AE1 - B ER0 - EY2 - T IH0 NG +ELABORATION IH0 - L AE2 - B ER0 - EY1 - SH AH0 N +ELAINA IH0 - L EY1 - N AH0 +ELAINE IH0 - L EY1 N +ELAINE'S AH0 - L EY1 N Z +ELAINE'S(2) IY2 - L EY1 N Z +ELAINE'S(3) IH0 - L EY1 N Z +ELAINE(2) AH0 - L EY1 N +ELAINE(3) IY2 - L EY1 N +ELAM EH1 - L AH0 M +ELAMIN EH1 - L AH0 - M IH0 N +ELAN IY1 - L AH0 N +ELAND IY1 - L AH0 N D +ELANE IH0 - L EY1 N +ELAPSE IH0 - L AE1 P S +ELAPSED IH0 - L AE1 P S T +ELARDO EH0 - L AA1 R - D OW0 +ELASTIC IH0 - L AE1 - S T IH0 K +ELASTICITY IY2 - L AE2 - S T IH1 - S AH0 - T IY0 +ELASTOMER IH0 - L AE1 - S T AH0 - M ER0 +ELASTOMERS IH0 - L AE1 - S T AH0 - M ER0 Z +ELAT EH0 - L AE1 T +ELATA EH0 - L AA1 - T AH0 +ELATE IH0 - L EY1 T +ELATED IH0 - L EY1 - T AH0 D +ELATED(2) IH0 - L EY1 - T IH0 D +ELATER EH1 - L AH0 - T ER0 +ELATER(2) IH1 - L EY0 - T ER0 +ELATERS EH1 - L AH0 - T ER0 Z +ELATERS(2) IH1 - L EY0 - T ER0 Z +ELATING IH0 - L EY1 - T IH0 NG +ELATION IH0 - L EY1 - SH AH0 N +ELAYNE IH0 - L EY1 N +ELBAUM EH1 L - B AW2 M +ELBE EH1 L B +ELBER EH1 L - B ER0 +ELBERSON EH1 L - B ER0 - S AH0 N +ELBERT EH1 L - B ER0 T +ELBERTA EH0 L - B EH1 R - T AH0 +ELBERTINE EH1 L - B ER0 - T IY2 N +ELBOW EH1 L - B OW2 +ELBOWED EH1 L - B OW2 D +ELBOWING EH1 L - B OW2 - IH0 NG +ELBOWROOM EH1 L - B OW2 - R UW2 M +ELBOWS EH1 L - B OW2 Z +ELBRUS EH1 L - B R AH0 S +ELCHIBEY EH1 L - CH AH0 - B EY0 +ELCO EH1 L - K OW0 +ELCOCK IH0 L - K AA1 K +ELCOR EH1 L - K AO2 R +ELCOTEL EH1 L - K OW0 - T EH2 L +ELDAR EH1 L - D AA2 R +ELDEN EH1 L - D AH0 N +ELDER EH1 L - D ER0 +ELDERKIN EH1 L - D ER0 - K IH0 N +ELDERLY EH1 L - D ER0 - L IY0 +ELDERLY'S EH1 L - D ER0 - L IY0 Z +ELDERS EH1 L - D ER0 Z +ELDERS' EH1 L - D ER0 Z +ELDERS'S EH1 L - D ER0 - Z IH0 Z +ELDEST EH1 L - D AH0 S T +ELDIN EH1 L - D IH0 N +ELDON IH0 L - D AA1 N +ELDORA EH0 L - D AO1 - R AH0 +ELDORADO EH2 L - D ER0 - AA1 - D OW0 +ELDORADO'S EH2 L - D ER0 - AA1 - D OW0 Z +ELDRED EH1 L - D ER0 D +ELDREDGE IH0 L - D R EH1 JH +ELDRETH IH0 L - D R EH1 TH +ELDRIC EH1 L - D R IH0 K +ELDRIDA EH0 L - D R IY1 - D AH0 +ELDRIDGE EH1 L - D R IH2 JH +ELDRITCH EH1 L - D R IH0 CH +ELDWIN IH0 L D - W IH1 N +ELEANOR EH1 - L AH0 - N AO0 R +ELEANOR'S EH1 - L AH0 - N AO0 R Z +ELEANOR'S(2) EH1 - L AH0 - N ER0 Z +ELEANOR(2) EH1 - L AH0 - N ER0 +ELEANORA EH2 - L AH0 - N AO1 - R AH0 +ELEANORE EH1 - L AH0 - N AO0 R +ELEAZER EH1 - L AH0 - Z ER0 +ELECT IH0 - L EH1 K T +ELECT'S IH0 - L EH1 K T S +ELECTABILITY IH0 - L EH2 K - T AH0 - B IH1 - L AH0 - T IY0 +ELECTABLE IH0 - L EH1 K - T AH0 - B AH0 L +ELECTED IH0 - L EH1 K - T AH0 D +ELECTED(2) IH0 - L EH1 K - T IH0 D +ELECTING IH0 - L EH1 K - T IH0 NG +ELECTION IH0 - L EH1 K - SH AH0 N +ELECTION'S IH0 - L EH1 K - SH AH0 N Z +ELECTIONEER IH0 - L EH2 K - SH AH0 - N IH1 R +ELECTIONEERING IH0 - L EH2 K - SH AH0 - N IH1 - R IH0 NG +ELECTIONEERS IH0 - L EH2 K - SH AH0 - N IH1 R Z +ELECTIONS IH0 - L EH1 K - SH AH0 N Z +ELECTIVE IH0 - L EH1 K - T IH0 V +ELECTIVES IH0 - L EH1 K - T IH0 V Z +ELECTORAL IH0 - L EH1 K - T ER0 - AH0 L +ELECTORATE IH0 - L EH1 K - T ER0 - AH0 T +ELECTORATE'S IH0 - L EH1 K - T ER0 - AH0 T S +ELECTORATE(2) IH0 - L EH1 K - T R IH0 T +ELECTORATES IH0 - L EH1 K - T ER0 - AH0 T S +ELECTORS IH0 - L EH1 K - T ER0 Z +ELECTRA IH0 - L EH1 K - T R AH0 +ELECTRIC IH0 - L EH1 K - T R IH0 K +ELECTRIC'S IH0 - L EH1 K - T R IH0 K S +ELECTRICAL IH0 - L EH1 K - T R IH0 - K AH0 L +ELECTRICALLY IH0 - L EH1 K - T R IH0 - K AH0 - L IY0 +ELECTRICALLY(2) IH0 - L EH1 K - T R IH0 K - L IY0 +ELECTRICALS IH0 - L EH1 K - T R IH0 - K AH0 L Z +ELECTRICAR IH0 - L EH1 K - T R IH0 - K AA2 R +ELECTRICIAN IH0 - L EH0 K - T R IH1 - SH AH0 N +ELECTRICIANS IH0 - L EH0 K - T R IH1 - SH AH0 N Z +ELECTRICIANS' IH0 - L EH0 K - T R IH1 - SH AH0 N Z +ELECTRICITE AH0 - L EH2 K - T R IH1 - S IH2 - T EY0 +ELECTRICITY IH0 - L EH2 K - T R IH1 - S AH0 - T IY0 +ELECTRICS IH0 - L EH1 K - T R IH0 K S +ELECTRIFICATION IH0 - L EH2 K - T R AH0 - F IH0 - K EY1 - SH AH0 N +ELECTRIFIED IH0 - L EH1 K - T R AH0 - F AY2 D +ELECTRIFIES IH0 - L EH1 K - T R AH0 - F AY2 Z +ELECTRIFY IH0 - L EH1 K - T R AH0 - F AY2 +ELECTRIFYING IH0 - L EH1 K - T R AH0 - F AY2 - IH0 NG +ELECTRIQUE EH2 - L EH0 K - T R IY1 K +ELECTRO IH0 - L EH1 K - T R OW0 +ELECTROBIOLOGY IH0 - L EH1 K - T R OW0 - B AY0 - AA1 - L AH0 - JH IY0 +ELECTROBIOLOGY'S IH0 - L EH1 K - T R OW0 - B AY0 - AA1 - L AH0 - JH IY0 Z +ELECTROCARDIOGRAM IH0 - L EH2 K - T R OW0 - K AA1 R - D IY0 - AH0 - G R AE2 M +ELECTROCARDIOGRAMS IH0 - L EH2 K - T R OW0 - K AA1 R - D IY0 - AH0 - G R AE2 M Z +ELECTROCHEMICAL AH0 - L EH2 K - T R OW0 - K EH1 - M IH0 - K AH0 L +ELECTROCOM IH0 - L EH1 K - T R OW0 - K AA2 M +ELECTROCUTE IH0 - L EH1 K - T R AH0 - K Y UW2 T +ELECTROCUTED IH0 - L EH1 K - T R AH0 - K Y UW2 - T IH0 D +ELECTROCUTION IH0 - L EH2 K - T R AH0 - K Y UW1 - SH AH0 N +ELECTROCUTIONS AH0 - L EH2 K - T R AH0 - K Y UW1 - SH AH0 N Z +ELECTRODE IH0 - L EH1 K - T R OW0 D +ELECTRODES IH0 - L EH1 K - T R OW0 D Z +ELECTRODYNAMIC IH0 - L EH2 K - T R OW0 - D AY2 - N AE1 - M IH0 K +ELECTRODYNAMICS IH0 - L EH2 K - T R OW0 - D AY2 - N AE1 - M IH0 K S +ELECTROLUX IH0 - L EH1 K - T R AH0 - L AH0 K S +ELECTROLYSIS IH0 - L EH2 K - T R AA1 - L AH0 - S AH0 S +ELECTROLYTIC IH0 - L EH2 K - T R AH0 - L IH1 - T IH0 K +ELECTROMAGNET IH0 - L EH2 K - T R OW0 - M AE1 G - N AH0 T +ELECTROMAGNETIC IH0 - L EH2 K - T R OW0 - M AE0 G - N EH1 - T IH0 K +ELECTROMAGNETISM IH0 - L EH2 K - T R OW0 - M AE1 G - N AH0 - T IH2 - Z AH0 M +ELECTROMAGNETS IH0 - L EH2 K - T R OW0 - M AE1 G - N AH0 T S +ELECTROMECHANICAL IH0 - L EH2 K - T R OW0 - M AH0 - K AE1 - N IH0 - K AH0 L +ELECTROMEDICS IH0 - L EH2 K - T R OW0 - M EH1 - D IH0 K S +ELECTRON IH0 - L EH1 K - T R AA0 N +ELECTRONIC IH0 - L EH2 K - T R AA1 - N IH0 K +ELECTRONICALLY IH0 - L EH2 K - T R AA1 - N IH0 - K AH0 - L IY0 +ELECTRONICALLY(2) IH0 - L EH2 K - T R AA1 - N IH0 K - L IY0 +ELECTRONICS IH0 - L EH2 K - T R AA1 - N IH0 K S +ELECTRONICS' IH0 - L EH2 K - T R AA1 - N IH0 K S +ELECTRONS IH0 - L EH1 K - T R AA0 N Z +ELECTROPHORESIS IH0 - L EH0 K - T R OW0 - F AO0 - R IH2 - S IH0 S +ELECTROPHORESIS(2) IH0 - L EH0 K - T R OW0 - F ER0 - IY1 - S IH0 S +ELECTROPHORETOGRAM IH0 - L EH2 K - T R AA0 - F AH0 - R EH1 - T AH0 - G R AE0 M +ELECTROPLATE IH0 - L EH1 K - T R AH0 - P L EY2 T +ELECTROPLATING IH0 - L EH1 K - T R AH0 - P L EY2 - T IH0 NG +ELECTROSHOCK IH0 - L EH1 K - T R OW2 - SH AA2 K +ELECTROSOUND IH0 - L EH1 K - T R OW0 - S AW2 N D +ELECTROSPACE IH0 - L EH1 K - T R OW0 - S P EY2 S +ELECTROSPRAY IH0 - L EH1 K - T R OW0 - S P R EY2 +ELECTROSTATIC IH0 - L EH2 K - T R OW0 - S T AE1 - T IH0 K +ELECTS IH0 - L EH1 K T S +ELEDGE EH1 - L IH0 JH +ELEEN EH1 - L IY0 N +ELEFANTE EH0 - L EH0 - F AA1 N - T IY0 +ELEGANCE EH1 - L AH0 - G AH0 N S +ELEGANT EH1 - L AH0 - G AH0 N T +ELEGANTLY EH1 - L IH0 - G AH0 N T - L IY0 +ELEGY EH1 - L AH0 - JH IY0 +ELEK EH1 - L IH0 K +ELEKTRA EH0 - L EH1 K - T R AH0 +ELEKTRISK IH0 - L EH2 K - T R IH1 S K +ELEKTRIZITAETSWERK EH2 - L IH0 K - T R IH1 - Z IH0 - T AE2 T S - W ER0 K +ELEMENT EH1 - L AH0 - M AH0 N T +ELEMENTAL EH2 - L AH0 - M EH1 N - T AH0 L +ELEMENTAL(2) EH2 - L AH0 - M EH1 - N AH0 L +ELEMENTARY EH2 - L AH0 - M EH1 N - T R IY0 +ELEMENTARY(2) EH2 - L AH0 - M EH1 N - T ER0 - R IY0 +ELEMENTARY(3) EH2 - L AH0 - M EH1 N - CH R IY0 +ELEMENTS EH1 - L AH0 - M AH0 N T S +ELENA EH1 - L AH0 - N AH0 +ELENA(2) EH2 - L EY1 - N AH0 +ELENBAAS EH1 - L IH0 N - B AA0 Z +ELENE EH1 - L IY0 N +ELENORE EH1 - L IH0 - N ER0 +ELEONORE EH0 - L IY0 - AH0 - N AO1 - R IY0 +ELEPHANT EH1 - L AH0 - F AH0 N T +ELEPHANT'S EH1 - L AH0 - F AH0 N T S +ELEPHANTINE EH2 - L AH0 - F AE1 N - T IY2 N +ELEPHANTS EH1 - L AH0 - F AH0 N T S +ELETR EH1 - L AH0 - T ER0 +ELEUTHERA IH0 - L UW1 - TH ER0 - AH0 +ELEVATE EH1 - L AH0 - V EY2 T +ELEVATED EH1 - L AH0 - V EY2 - T IH0 D +ELEVATES EH1 - L AH0 - V EY2 T S +ELEVATING EH1 - L AH0 - V EY2 - T IH0 NG +ELEVATION EH2 - L AH0 - V EY1 - SH AH0 N +ELEVATIONS EH2 - L AH0 - V EY1 - SH AH0 N Z +ELEVATOR EH1 - L AH0 - V EY2 - T ER0 +ELEVATORS EH1 - L AH0 - V EY2 - T ER0 Z +ELEVEN IH0 - L EH1 - V AH0 N +ELEVEN'S IH0 - L EH1 - V AH0 N Z +ELEVEN'S(2) IY1 - L EH0 - V AH0 N Z +ELEVEN(2) IY1 - L EH0 - V AH0 N +ELEVENS IH0 - L EH1 - V AH0 N Z +ELEVENS(2) IY1 - L EH0 - V AH0 N Z +ELEVENTH IH0 - L EH1 - V AH0 N TH +ELEVENTH(2) IY1 - L EH0 - V AH0 N TH +ELEXIS EH0 - L EH1 K - S IH0 S +ELEY IY1 - L IY0 +ELF EH1 L F +ELF'S EH1 L F S +ELFERS EH1 L - F ER0 Z +ELFIE EH1 L - F IY0 +ELFIN EH1 L - F IH0 N +ELFMAN EH1 L F - M AH0 N +ELFORD EH1 L - F ER0 D +ELFREDA EH0 L - F R EH1 - D AH0 +ELFRIDA EH0 L - F R IY1 - D AH0 +ELFRIEDA EH0 L - F R IY1 - D AH0 +ELFRINK EH1 L - F R IH0 NG K +ELFSTROM EH1 L F S - T R AH0 M +ELG EH1 L G +ELGA IH0 L - G AA1 +ELGABROWNY EH0 L - G AH0 - B R AW1 - N IY0 +ELGAR EH1 L - G ER0 +ELGAR'S EH1 L - G ER0 Z +ELGART EY1 L - G AA0 R T +ELGER EH1 L - G ER0 +ELGERSMA EH0 L - JH EH1 R S - M AH0 +ELGIE EH1 L - JH IY0 +ELGIN EH1 L - JH IH0 N +ELI IY1 - L AY0 +ELIA AH0 - L AY1 - AH0 +ELIADES IY1 - L IY2 - EY0 D Z +ELIAS AH0 - L AY1 - AH0 S +ELIASON AH0 - L AY1 - AH0 - S AH0 N +ELIASSEN AH0 - L AY1 - AH0 - S AH0 N +ELICH EH1 - L IH0 K +ELICIT IH0 - L IH1 - S IH0 T +ELICITED IH0 - L IH1 - S IH0 - T IH0 D +ELICITING IH0 - L IH1 - S AH0 - T IH0 NG +ELICITS IH0 - L IH1 - S AH0 T S +ELICK EH1 - L IH0 K +ELICKER EH1 - L IH0 - K ER0 +ELIE EH1 - L IY0 +ELIGIBILITY EH2 - L IH0 - JH AH0 - B IH1 - L IH0 - T IY0 +ELIGIBLE EH1 - L AH0 - JH AH0 - B AH0 L +ELIGIBLE(2) EH1 - L IH0 - JH AH0 - B AH0 L +ELIHU EH1 - L IH0 - HH UW0 +ELIJAH EH0 - L AY1 - JH AH0 +ELIJAH(2) IY0 - L AY1 - JH AH0 +ELIMINATE IH0 - L IH1 - M AH0 - N EY2 T +ELIMINATED IH0 - L IH1 - M AH0 - N EY2 - T AH0 D +ELIMINATED(2) IH0 - L IH1 - M AH0 - N EY2 - T IH0 D +ELIMINATES IH0 - L IH1 - M AH0 - N EY2 T S +ELIMINATING IH0 - L IH1 - M AH0 - N EY2 - T IH0 NG +ELIMINATION IH0 - L IH2 - M AH0 - N EY1 - SH AH0 N +ELIMINATIONS IH0 - L IH2 - M IH0 - N EY1 - SH AH0 N Z +ELINE EH1 - L AY0 N +ELINOR EH1 - L IH0 - N ER0 +ELINORE EH0 - L IY0 - N AO1 - R IY0 +ELIO EH1 - L IY0 - OW0 +ELIOPOULOS EH0 - L IY0 - AA1 - P AH0 - L IH0 S +ELIOT EH1 - L IY0 - AH0 T +ELIOT'S EH1 - L IY0 - AH0 T S +ELIOTT EH1 - L IY0 - AA0 T +ELISA AH0 - L IY1 - S AH0 +ELISA'S AH0 - L IY1 - S AH0 Z +ELISA'S(2) AH0 - L IY1 - Z AH0 Z +ELISA(2) AH0 - L IY1 - Z AH0 +ELISABETH IH0 - L IH1 - Z AH0 - B IH0 TH +ELISE AH0 - L IY1 S +ELISH EH1 - L IH0 SH +ELISHA EH1 - L IH0 - SH AH0 +ELISON EH1 - L IH0 - S AH0 N +ELISSA EH0 - L IY1 - S AH0 +ELITE IH0 - L IY1 T +ELITE(2) EY0 - L IY1 T +ELITES IH0 - L IY1 T S +ELITES(2) EY0 - L IY1 T S +ELITISM EH1 - L IH0 - T IH2 - Z AH0 M +ELITISM(2) EY0 - L IY1 - T IH2 - Z AH0 M +ELITIST EY0 - L IY1 - T IH0 S T +ELITIST(2) IH0 - L IY1 - T IH0 S T +ELITISTS EY0 - L IY1 - T IH0 S T S +ELITISTS(2) IH0 - L IY1 - T IH0 S T S +ELITISTS(3) IH0 - L IY1 - T IH0 S S +ELITISTS(4) IH0 - L IY1 - T IH0 S +ELIXIR IH0 - L IH1 K - S ER0 +ELIZA IH0 - L AY1 - Z AH0 +ELIZABETH IH0 - L IH1 - Z AH0 - B AH0 TH +ELIZABETH'S IH0 - L IH1 - Z AH0 - B AH0 TH S +ELIZABETH(2) IH0 - L IH1 - Z AH0 - B IH0 TH +ELIZABETHAN EH2 - L IH0 - Z AH0 - B IY1 - TH AH0 N +ELIZABETHTOWN AH0 - L IH1 - Z AH0 - B EH0 TH - T AW2 N +ELIZALDE EH0 - L IY0 - Z AA1 L - D IY0 +ELIZONDO EH2 - L IH0 - Z AA1 N - D OW0 +ELJER EH1 L - JH ER0 +ELK EH1 L K +ELKES EH1 L K S +ELKHART EH1 L K - HH AA2 R T +ELKHORN EH1 L K - HH AO2 R N +ELKIN IH0 L - K IH1 N +ELKIND IH0 L - K AY1 N D +ELKIND(2) EH1 L - K IH0 N D +ELKINGTON EH1 L - K IH0 NG - T AH0 N +ELKINS EH1 L - K IH0 N Z +ELKO EH1 L - K OW0 +ELKS EH1 L K S +ELKTON EH1 L K - T AH0 N +ELL EH1 L +ELLA EH1 - L AH0 +ELLA'S EH1 - L AH0 Z +ELLAMAY EH1 - L AH0 - M EY2 +ELLAN EH1 - L AH0 N +ELLAN'S EH1 - L AH0 N Z +ELLARD EH1 - L ER0 D +ELLE EH1 L +ELLEDGE EH1 - L IH0 JH +ELLEFSON EH1 - L IH0 F - S AH0 N +ELLEGOOD EH1 - L IH0 - G UH0 D +ELLEMANN EH1 - L AH0 - M AH0 N +ELLEN EH1 - L AH0 N +ELLEN'S EH1 - L AH0 N Z +ELLENA EH0 - L EH1 - N AH0 +ELLENBECKER EH1 - L IH0 N - B EH0 - K ER0 +ELLENBERG EH1 - L AH0 N - B ER0 G +ELLENBERGER EH1 - L AH0 N - B ER0 - G ER0 +ELLENBOGEN EH1 - L IH0 N - B AH0 - G AH0 N +ELLENBURG EH1 - L AH0 N - B ER0 G +ELLENDER EH1 - L EH0 N - D ER0 +ELLENE EH1 - L IY2 N +ELLENPORE EH1 - L IH0 N - P AO0 R +ELLENSON EH1 - L IH0 N - S AH0 N +ELLENWOOD EH1 - L AH0 N - W UH2 D +ELLER EH1 - L ER0 +ELLERBE EH1 - L ER0 B +ELLERBEE IH0 - L ER1 - B IY0 +ELLERBROCK IH0 - L ER1 - B R AH0 K +ELLERBY EH1 - L ER0 - B IY0 +ELLEREY EH1 - L ER0 - IY0 +ELLERMAN EH1 - L ER0 - M AH0 N +ELLERS EH1 - L ER0 Z +ELLERT EH1 - L ER0 T +ELLERTSON EH1 - L ER0 T - S AH0 N +ELLERY EH1 - L ER0 - IY0 +ELLESMERE EH1 L Z - M IH2 R +ELLESSE EH0 - L EH1 S +ELLESTAD EH1 - L IH0 - S T AH0 D +ELLETT EH1 - L IH0 T +ELLETTE IH0 - L EH1 T +ELLEY EH1 - L IY0 +ELLICE EH1 - L IH0 S +ELLICOTT EH1 - L IH0 - K AA0 T +ELLIE EH1 - L IY0 +ELLIFF EH1 - L IH0 F +ELLIJAY IY0 - L AY1 - JH EY0 +ELLIMAN EH1 - L IH0 - M AH0 N +ELLING EH1 - L IH0 NG +ELLINGER EH1 - L IH0 - NG ER0 +ELLINGSEN EH1 - L IH0 NG - S AH0 N +ELLINGSON EH1 - L IH0 NG - S AH0 N +ELLINGSWORTH EH1 - L IH0 NG - Z W ER2 TH +ELLINGTON EH1 - L IH0 NG - T AH0 N +ELLINGTON'S EH1 - L IH0 NG - T AH0 N Z +ELLINGWOOD EH1 - L IH0 NG - W UH2 D +ELLINWOOD EH1 - L IH0 N - W UH2 D +ELLIOT EH1 - L IY0 - AH0 T +ELLIOTT EH1 - L IY0 - AH0 T +ELLIOTT'S EH1 - L IY0 - AH0 T S +ELLIPSE IH0 - L IH1 P S +ELLIPSOID IH0 - L IH1 P - S OY0 D +ELLIPSOIDS IH0 - L IH1 P - S OY0 D Z +ELLIPTICAL IH0 - L IH1 P - T IH0 - K AH0 L +ELLIS EH1 - L IH0 S +ELLIS'S EH1 - L IH0 - S IH0 Z +ELLISON EH1 - L IH0 - S AH0 N +ELLISOR EH1 - L IH0 - S ER0 +ELLISTON EH1 - L IH0 - S T AA0 N +ELLITHORPE EH1 - L IH0 - TH ER0 P +ELLMAN EH1 L - M AH0 N +ELLMANN EH1 L - M AH0 N +ELLNER EH1 L - N ER0 +ELLROY EH1 L - R OY2 +ELLS EH1 L Z +ELLSBERG EH1 L Z - B ER0 G +ELLSBERG'S EH1 L Z - B ER0 G Z +ELLSBURG EH1 L Z - B ER0 G +ELLSWORTH EH1 L Z - W ER0 TH +ELLWANGER EH1 L - W AO0 NG - ER0 +ELLWOOD EH1 L - W UH2 D +ELLWOOD'S EH1 L - W UH2 D Z +ELLY EH1 - L IY0 +ELLYN EH1 - L IH0 N +ELLYSON EH1 - L IH0 - S AH0 N +ELLZEY EH1 L - Z IY0 +ELM EH1 L M +ELMA EH1 L - M AH0 +ELMAN EH1 L - M AH0 N +ELMENDORF EH1 L - M IH0 N - D AO0 R F +ELMER EH1 L - M ER0 +ELMES EH1 L M Z +ELMHURST EH1 L M - HH ER0 S T +ELMIRA EH0 L - M AY1 - R AH0 +ELMO EH1 L - M OW0 +ELMOOTAZBELL EH0 L - M UW1 - T AH2 Z - B EH2 L +ELMOOTAZBELLAH EH0 L - M UW2 - T AH2 Z - B EH1 - L AH0 +ELMORE EH1 L - M AO0 R +ELMQUIST EH1 L M - K W IH2 S T +ELMS EH1 L M Z +ELMSFORD EH1 L M Z - F ER0 D +ELMWOOD EH1 L M - W UH2 D +ELNA IH0 L - N AA1 +ELNORA EH0 L - N AO1 - R AH0 +ELNORE IH0 L - N AO1 R +ELNOZAHY EH2 L - N OW1 - Z AA1 - HH IY0 +ELOCUTION EH2 - L AH0 - K Y UW1 - SH AH0 N +ELOCUTIONS EH2 - L AH0 - K Y UW1 - SH AH0 N Z +ELOISA EH0 - L OY1 - S AH0 +ELOISE IH0 - L OY1 Z +ELOISE(2) EH1 - L OW0 - IY0 Z +ELONGATE IH0 - L AO1 NG - G EY0 T +ELONGATED IH0 - L AO1 NG - G EY0 - T AH0 D +ELONGATION IY2 - L AO0 NG - G EY1 - SH AH0 N +ELOPE IH0 - L OW1 P +ELOPES IH0 - L OW1 P S +ELOQUENCE EH1 - L AH0 - K W AH0 N S +ELOQUENT EH1 - L AH0 - K W AH0 N T +ELOQUENTLY EH1 - L AH0 - K W AH0 N T - L IY0 +ELOUISE EH1 - L AH0 - W IY2 Z +ELPERS EH1 L - P ER0 Z +ELRICA EH1 - L R IH0 - K AH0 +ELRICK EH1 L - R IH0 K +ELROD IH0 L - R AA1 D +ELRON EH1 L - R AH0 N +ELROY IH0 L - R OY1 +ELS EH1 L Z +ELSA EH1 L - S AH0 +ELSAS EH1 L - S AH0 Z +ELSASSER EH1 L - S AH0 - S ER0 +ELSBERRY EH1 L Z - B EH2 - R IY0 +ELSBURY EH1 L Z - B EH2 - R IY0 +ELSDON EH1 L - S D AH0 N +ELSE EH1 L S +ELSE'S EH1 L - S IH0 Z +ELSEA EH1 L - S IY0 - AH0 +ELSEN EH1 L - S AH0 N +ELSER EH1 L - S ER0 +ELSES EH1 L - S IH0 Z +ELSESSER EH1 L - S IH0 - S ER0 +ELSEVIER EH0 L - S EH1 - V Y ER0 +ELSEVIER'S EH0 L - S EH1 - V Y ER0 Z +ELSEVIER'S(2) EH1 L - S AH0 - V IH2 R Z +ELSEVIER(2) EH1 L - S AH0 - V IH2 R +ELSEWHERE EH1 L - S W EH2 R +ELSEY EH1 L - S IY0 +ELSIE EH1 L - S IY0 +ELSIE'S EH1 L - S IY0 Z +ELSINORE EH1 L - S AH0 - N AO2 R +ELSNER EH1 L - S N ER0 +ELSON EH1 L - S AH0 N +ELSTAD EH1 L - S T AH0 D +ELSTER EH1 L - S T ER0 +ELSTON IH0 L - S T AA1 N +ELSWICK EH1 L Z - W IH2 K +ELSWORTH EH1 L Z - W ER2 TH +ELTING EH1 L - T IH0 NG +ELTON EH1 L - T AH0 N +ELTRINGHAM EH1 L - T R IH0 - NG AE0 M +ELTZROTH EH1 L T - S R AO0 TH +ELUCIDATE IH0 - L UW1 - S AH0 - D EY2 T +ELUCIDATED IH0 - L UW1 - S AH0 - D EY2 - T AH0 D +ELUCIDATIVE IH0 - L UW1 - S AH0 - D EY2 - T IH0 V +ELUDE IH0 - L UW1 D +ELUDED IH0 - L UW1 - D IH0 D +ELUDES IH0 - L UW1 D Z +ELUDING IH0 - L UW1 - D IH0 NG +ELUSIVE IH0 - L UW1 - S IH0 V +ELUSIVENESS IH0 - L UW1 - S IH0 V - N AH0 S +ELVA EH1 L - V AH0 +ELVERA EY0 L - V EH1 - R AH0 +ELVERS EH1 L - V ER0 Z +ELVES EH1 L V Z +ELVGREN EH1 L V - G R EH0 N +ELVIA EH1 L - V IY0 - AH0 +ELVIE EH1 L - V IY0 +ELVIN EH1 L - V IH0 N +ELVINA EH0 L - V IY1 - N AH0 +ELVING EH1 L - V IH0 NG +ELVINGTON EH1 L - V IH0 NG - T AH0 N +ELVIRA EH0 L - V AY1 - R AH0 +ELVIRE EH1 L - V AY2 R +ELVIS EH1 L - V IH0 S +ELVIS' EH1 L - V IH0 S +ELVIS'S EH1 L - V IH0 - S IH0 Z +ELVY EH1 L - V IY0 +ELWAY EH1 L - W EY2 +ELWAY'S EH1 L - W EY2 Z +ELWELL IH0 L - W EH1 L +ELWIN EH1 L - W IH0 N +ELWOOD EH1 L - W UH2 D +ELXSI EH1 L K - S IY0 +ELY IY1 - L AY0 +ELYN EH1 - L IH0 N +ELYRIA IH0 - L IH1 - R IY0 - AH0 +ELYSE EH1 - L AY0 S +ELYSEE EH1 - L IH0 - S IY2 +ELYSEE(2) EH1 - L IY0 - S IY2 +ELYSEES EH1 - L IH0 - S IY2 Z +ELYSEES(2) EH1 - L IY0 - S IY2 Z +ELYSIA IH0 - L IH1 - ZH IY0 - AH0 +ELYSIA(2) IH0 - L IY1 - ZH AH0 +ELYSIUM IH0 - L IH1 - Z IY0 - AH0 M +ELZA EH1 L - Z AH0 +ELZEY EH1 L - Z IY0 +ELZINGA EH0 L - Z IY1 NG - G AH0 +ELZY EH1 L - Z IY0 +EM EH1 M +EMA IY1 - M AH0 +EMACIATE IH0 - M EY1 - SH IY0 - EY2 T +EMACIATED IH0 - M EY1 - SH IY0 - EY2 - T IH0 D +EMAD IY1 - M AE0 D +EMAIL IY0 - M EY1 L +EMAILED IY0 - M EY1 L D +EMAILING IY0 - M EY1 - L IH0 NG +EMAILS IY0 - M EY1 L Z +EMANATE EH1 - M AH0 - N EY2 T +EMANATED EH1 - M AH0 - N EY2 - T IH0 D +EMANATES EH1 - M AH0 - N EY0 T S +EMANATING EH1 - M AH0 - N EY2 - T IH0 NG +EMANATION EH2 - M AH0 - N EY1 - SH AH0 N +EMANATIONS EH2 - M AH0 - N EY1 - SH AH0 N Z +EMANCIPATE IH0 - M AE1 N - S AH0 - P EY2 T +EMANCIPATED IH0 - M AE1 N - S AH0 - P EY2 - T IH0 D +EMANCIPATION IH0 - M AE2 N - S AH0 - P EY1 - SH AH0 N +EMANUEL IH0 - M AE1 - N Y UW0 - AH0 L +EMANUELE EY0 - M AA0 - N UW0 - EH1 - L EY0 +EMANUELSON IH0 - M AE1 - N UW0 L - S AH0 N +EMARD EH1 - M ER0 D +EMASCULATE AH0 - M AE1 S - K Y UW0 - L IH0 T +EMASCULATE(2) AH0 - M AE1 S - K Y UW0 - L EY2 T +EMASCULATED AH0 - M AE1 S - K Y UW0 - L EY2 - T IH0 D +EMBALM EH0 M - B AA1 M +EMBALMED EH0 M - B AA1 M D +EMBALMING EH0 M - B AA1 - M IH0 NG +EMBANKMENT EH0 M - B AE1 NG K - M AH0 N T +EMBARCADERO EH0 M - B AA2 R - K AH0 - D EH1 - R OW0 +EMBARGO EH0 M - B AA1 R - G OW0 +EMBARGOED IH0 M - B AA1 R - G OW0 D +EMBARGOES EH0 M - B AA1 R - G OW0 Z +EMBARK EH0 M - B AA1 R K +EMBARK(2) IH0 M - B AA1 R K +EMBARKATION EH2 M - B AA0 R - K EY1 - SH AH0 N +EMBARKED EH0 M - B AA1 R K T +EMBARKING EH0 M - B AA1 R - K IH0 NG +EMBARKS IH0 M - B AA1 R K S +EMBARRASS IH0 M - B EH1 - R AH0 S +EMBARRASSED IH0 M - B EH1 - R AH0 S T +EMBARRASSES IH0 M - B AE1 - R AH0 - S IH0 Z +EMBARRASSING IH0 M - B EH1 - R AH0 - S IH0 NG +EMBARRASSINGLY IH0 M - B EH1 - R AH0 - S IH0 NG - L IY0 +EMBARRASSMENT IH0 M - B EH1 - R AH0 S - M AH0 N T +EMBARRASSMENTS IH0 M - B EH1 - R AH0 S - M AH0 N T S +EMBASSIES EH1 M - B AH0 - S IY0 Z +EMBASSY EH1 M - B AH0 - S IY0 +EMBASSY'S EH1 M - B AH0 - S IY0 Z +EMBATTLE EH0 M - B AE1 - T AH0 L +EMBATTLED EH0 M - B AE1 - T AH0 L D +EMBAYMENT EH0 M - B EY1 - M AH0 N T +EMBED IH0 M - B EH1 D +EMBEDDED EH0 M - B EH1 - D IH0 D +EMBELLISH IH0 M - B EH1 - L IH0 SH +EMBELLISHED EH0 M - B EH1 - L IH0 SH T +EMBELLISHING EH0 M - B EH1 - L IH0 - SH IH0 NG +EMBELLISHMENT EH0 M - B EH1 - L IH0 SH - M AH0 N T +EMBER EH1 M - B ER0 +EMBERS EH1 M - B ER0 Z +EMBERSON EH1 M - B ER0 - S AH0 N +EMBERTON IH0 M - B ER1 - T AH0 N +EMBERTON(2) EH1 M - B ER0 - T AH0 N +EMBEZZLE IH0 M - B EH1 - Z AH0 L +EMBEZZLED IH0 M - B EH1 - Z AH0 L D +EMBEZZLEMENT EH0 M - B EH1 - Z AH0 L - M AH0 N T +EMBEZZLER IH0 M - B EH1 - Z AH0 L - ER0 +EMBEZZLER(2) EH0 M - B EH1 Z - L ER0 +EMBEZZLERS IH0 M - B EH1 - Z AH0 L - ER0 Z +EMBEZZLERS(2) EH0 M - B EH1 Z - L ER0 Z +EMBEZZLES IH0 M - B EH1 - Z AH0 L Z +EMBEZZLING IH0 M - B EH1 - Z AH0 L - IH0 NG +EMBEZZLING(2) EH0 M - B EH1 Z - L IH0 NG +EMBEZZLING(3) IH0 M - B EH1 Z - L IH0 NG +EMBEZZLING(4) EH0 M - B EH1 - Z AH0 L - IH0 NG +EMBITTER EH0 M - B IH1 - T ER0 +EMBITTERED EH0 M - B IH1 - T ER0 D +EMBLAZON EH0 M - B L EY1 - Z AH0 N +EMBLAZONED EH0 M - B L EY1 - Z AH0 N D +EMBLEM EH1 M - B L AH0 M +EMBLEMATIC EH2 M - B L AH0 - M AE1 - T IH0 K +EMBLEMS EH1 M - B L AH0 M Z +EMBLER EH1 M - B L ER0 +EMBLETON EH1 M - B L IH0 - T AA0 N +EMBLETON(2) EH1 M - B AH0 L - T AA0 N +EMBODIED IH0 M - B AA1 - D IY0 D +EMBODIES EH0 M - B AA1 - D IY0 Z +EMBODIMENT EH0 M - B AA1 - D IY0 - M AH0 N T +EMBODY IH0 M - B AA1 - D IY0 +EMBODYING IH0 M - B AA1 - D IY0 - IH0 NG +EMBOLDEN EH0 M - B OW1 L - D AH0 N +EMBOLDENED EH0 M - B OW1 L - D AH0 N D +EMBOLISM EH1 M - B OW0 - L IH2 - Z AH0 M +EMBOLISMS EH1 M - B OW0 - L IH2 - Z AH0 M Z +EMBOSS IH0 M - B AO1 S +EMBOSSED IH0 M - B AO1 S T +EMBRACE EH0 M - B R EY1 S +EMBRACE(2) IH0 M - B R EY1 S +EMBRACEABLE IH0 M - B R EY1 - S AH0 - B AH0 L +EMBRACED EH0 M - B R EY1 S T +EMBRACES EH0 M - B R EY1 - S IH0 Z +EMBRACING EH0 M - B R EY1 - S IH0 NG +EMBREE IH0 M - B R IY1 +EMBREY EH1 M - B R IY0 +EMBROIDER IH0 M - B R OY1 - D ER0 +EMBROIDERED EH0 M - B R OY1 - D ER0 D +EMBROIDERER EH0 M - B R OY1 - D ER0 - ER0 +EMBROIDERERS EH0 M - B R OY1 - D ER0 - ER0 Z +EMBROIDERIES IH0 M - B R OY1 - D ER0 - IY0 Z +EMBROIDERING EH0 M - B R OY1 - D ER0 - IH0 NG +EMBROIDERY EH0 M - B R OY1 - D ER0 - IY0 +EMBROIL EH0 M - B R OY1 L +EMBROILED EH0 M - B R OY1 L D +EMBROSE EH1 M - B R OW0 Z +EMBRY EH1 M - B R IY0 +EMBRYO EH1 M - B R IY0 - OW2 +EMBRYOLOGY EH2 M - B R IY0 - AA1 - L AH0 - JH IY0 +EMBRYONIC EH2 M - B R IY0 - AA1 - N IH0 K +EMBRYOS EH1 M - B R IY0 - OW2 Z +EMBURY EH1 M - B EH2 - R IY0 +EMCEE EH1 M - S IY1 +EMCH EH1 M CH +EMCO EH1 M - K OW0 +EMDE EH1 M D +EMDR IY1 - EH1 M - D IY1 - AA1 R +EMEL EH1 - M AH0 L +EMELDA EH0 - M EH1 L - D AH0 +EMELIE EH1 - M AH0 - L IY0 +EMELINA EH2 - M EH0 - L IY1 - N AH0 +EMELINE EH1 - M IH0 - L AY2 N +EMELITA EH0 - M EH0 - L IY1 - T AH0 +EMELYNE EH1 - M IH0 - L AY0 N +EMENS EH1 - M EH0 N Z +EMERA EH0 - M EH1 - R AH0 +EMERALD EH1 M - R AH0 L D +EMERALD(2) EH1 - M ER0 - R AH0 L D +EMERALDS EH1 M - R AH0 L D Z +EMERALDS(2) EH1 - M ER0 - R AH0 L D Z +EMERANT EY0 - M EH1 - R AH0 N T +EMERAUDE EH1 - M ER0 - AW2 D +EMERGE IH0 - M ER1 JH +EMERGE(2) IY1 - M ER0 JH +EMERGED IH0 - M ER1 JH D +EMERGED(2) IY1 - M ER0 JH D +EMERGENCE IH0 - M ER1 - JH AH0 N S +EMERGENCE(2) IY1 - M ER0 - JH AH0 N S +EMERGENCIES IH0 - M ER1 - JH AH0 N - S IY0 Z +EMERGENCIES(2) IY1 - M ER0 - JH AH0 N - S IY0 Z +EMERGENCY IH0 - M ER1 - JH AH0 N - S IY0 +EMERGENCY(2) IY1 - M ER0 - JH AH0 N - S IY0 +EMERGENT IH0 - M ER1 - JH AH0 N T +EMERGENT(2) IY1 - M ER0 - JH AH0 N T +EMERGES IH0 - M ER1 - JH IH0 Z +EMERGES(2) IY1 - M ER0 - JH IH0 Z +EMERGING IH0 - M ER1 - JH IH0 NG +EMERGING(2) IY1 - M ER0 - JH IH0 NG +EMERICH EH1 - M ER0 - IH0 K +EMERICK EH1 - M ER0 - IH0 K +EMERINE EH1 - M ER0 - IY2 N +EMERITUS IH0 - M EH1 - R AH0 - T AH0 S +EMERSE IH0 - M ER1 S +EMERSED IH0 - M ER1 S T +EMERSON EH1 - M ER0 - S AH0 N +EMERSON'S EH1 - M ER0 - S AH0 N Z +EMERT EH1 - M ER0 T +EMERTON IH0 - M ER1 - T AH0 N +EMERTON(2) EH1 - M ER0 - T AH0 N +EMERY EH1 - M ER0 - IY0 +EMERY'S EH1 - M ER0 - IY0 Z +EMERYVILLE EH1 - M ER0 - IY0 - V IH2 L +EMETIC IH0 - M EH1 - T IH0 K +EMFINGER EH1 M - F IH0 - NG ER0 +EMGE EH1 M JH +EMHART EH1 M - HH AA2 R T +EMICK EH1 - M IH0 K +EMIG EH1 - M IH0 G +EMIGH EH1 - M AY0 +EMIGRANT EH1 - M AH0 - G R AH0 N T +EMIGRANTS EH1 - M AH0 - G R AH0 N T S +EMIGRATE EH1 - M AH0 - G R EY2 T +EMIGRATED EH1 - M AH0 - G R EY2 - T IH0 D +EMIGRATES EH1 - M AH0 - G R EY2 T S +EMIGRATING EH1 - M AH0 - G R EY2 - T IH0 NG +EMIGRATION EH2 - M AH0 - G R EY1 - SH AH0 N +EMIGRATIONS EH2 - M AH0 - G R EY1 - SH AH0 N Z +EMIGRE EH1 - M AH0 - G R EY2 +EMIGRES EH1 - M AH0 - G R EY2 Z +EMIL EH0 - M IY1 L +EMILE EY0 - M IY1 L +EMILIA AH0 - M IY1 - L IY0 - AH0 +EMILIE EH1 - M AH0 - L IY0 +EMILIO AH0 - M IY1 - L IY0 - OW0 +EMILO EH0 - M IY1 - L OW0 +EMILO'S EH0 - M IY1 - L OW0 Z +EMILY EH1 - M IH0 - L IY0 +EMILY'S EH1 - M IH0 - L IY0 Z +EMINA EH0 - M IY1 - N AH0 +EMINASE EH2 - M IH0 - N AA1 - S IY0 +EMINENCE EH1 - M AH0 - N AH0 N S +EMINENCES EH1 - M AH0 - N AH0 N - S IH0 Z +EMINENT EH1 - M AH0 - N AH0 N T +EMINENTLY EH1 - M AH0 - N AH0 N T - L IY0 +EMIR IH0 - M IH1 R +EMIR(2) EY0 - M IH1 R +EMIRATE EH1 - M ER0 - AH0 T +EMIRATE(2) EH1 - M ER0 - EY2 T +EMIRATES EH1 - M ER0 - AH0 T S +EMIRATES' EH1 - M ER0 - AH0 T S +EMIRATES'(2) EH1 - M ER0 - EY2 T S +EMIRATES(2) EH1 - M ER0 - EY2 T S +EMISON EH1 - M IH0 - S AH0 N +EMISSARIES EH1 - M AH0 - S EH2 - R IY0 Z +EMISSARY EH1 - M AH0 - S EH2 - R IY0 +EMISSION IH0 - M IH1 - SH AH0 N +EMISSIONS IH0 - M IH1 - SH AH0 N Z +EMIT IH0 - M IH1 T +EMITS IH0 - M IH1 T S +EMITTED IH0 - M IH1 - T AH0 D +EMITTED(2) IH0 - M IH1 - T IH0 D +EMITTING IH0 - M IH1 - T IH0 NG +EMLER EH1 M - L ER0 +EMLEY EH1 M - L IY0 +EMLING EH1 M - L IH0 NG +EMLYN IH0 M - L IH1 N +EMLYNNE IH0 M - L AY1 N +EMMA EH1 - M AH0 +EMMALINE EH0 - M AA0 - L IY1 - N IY0 +EMMANUEL IH0 - M AE1 - N Y UW0 - AH0 L +EMMAUS EH1 - M AW0 S +EMME EH1 M +EMMEL EH1 - M AH0 L +EMMELINE EH1 - M AH0 - L AY2 N +EMMENDORFER EH1 - M IH0 N - D AO0 R - F ER0 +EMMER EH1 - M ER0 +EMMERICH EH1 - M ER0 - IH0 K +EMMERLING EH1 - M ER0 - L IH0 NG +EMMERSON EH1 - M ER0 - S AH0 N +EMMERT EH1 - M ER0 T +EMMERY EH1 - M ER0 - IY0 +EMMET EH1 - M IH0 T +EMMETT EH1 - M IH0 T +EMMI EH1 - M IY0 +EMMICK EH1 - M IH0 K +EMMIE EH1 - M IY0 +EMMINGER EH1 - M IH0 - NG ER0 +EMMIS EH1 - M IH0 S +EMMIT EH1 - M IH0 T +EMMITT EH1 - M IH0 T +EMMONS EH1 - M AH0 N Z +EMMOTT EH1 - M AH0 T +EMMY EH1 - M IY0 +EMMY'S EH1 - M IY0 Z +EMMYS EH1 - M IY0 Z +EMOGENE EH1 - M AH0 - G IY0 N +EMOND EH1 - M AH0 N D +EMORY EH1 - M ER0 - IY0 +EMORY'S EH1 - M ER0 - IY0 Z +EMOTION IH0 - M OW1 - SH AH0 N +EMOTION(2) IY1 - M OW0 - SH AH0 N +EMOTIONAL IH0 - M OW1 - SH AH0 - N AH0 L +EMOTIONAL(2) IY1 - M OW0 - SH AH0 - N AH0 L +EMOTIONALISM IH0 - M OW1 - SH AH0 N - AH0 - L IH2 - Z AH0 M +EMOTIONALISM(2) IY1 - M OW0 - SH AH0 N - AH0 - L IH2 - Z AH0 M +EMOTIONALLY IH0 - M OW1 SH - N AH0 - L IY0 +EMOTIONALLY(2) IY1 - M OW0 SH - N AH0 - L IY0 +EMOTIONS IH0 - M OW1 - SH AH0 N Z +EMOTIONS(2) IY1 - M OW0 - SH AH0 N Z +EMPANEL IH0 M - P AE1 - N AH0 L +EMPANELED IH0 M - P AE1 - N AH0 L D +EMPANELING EH0 M - P AE1 - N AH0 - L IH0 NG +EMPANELING(2) EH0 M - P AE1 N - L IH0 NG +EMPATH EH1 M - P AE2 TH +EMPATHETIC EH2 M - P AH0 - TH EH1 - T IH0 K +EMPATHIZE EH1 M - P AH0 - TH AY2 Z +EMPATHY EH1 M - P AH0 - TH IY0 +EMPEROR EH1 M - P ER0 - ER0 +EMPEROR'S EH1 M - P ER0 - ER0 Z +EMPERORS EH1 M - P ER0 - ER0 Z +EMPEY EH1 M - P IY0 +EMPHASES EH1 M - F AH0 - S IY2 Z +EMPHASIS EH1 M - F AH0 - S AH0 S +EMPHASIS(2) EH1 M - F AH0 - S IH0 S +EMPHASIZE EH1 M - F AH0 - S AY2 Z +EMPHASIZED EH1 M - F AH0 - S AY2 Z D +EMPHASIZES EH1 M - F AH0 - S AY2 - Z AH0 Z +EMPHASIZES(2) EH1 M - F AH0 - S AY2 - Z IH0 Z +EMPHASIZING EH1 M - F AH0 - S AY2 - Z IH0 NG +EMPHATIC EH0 M - F AE1 - T IH0 K +EMPHATICALLY EH0 M - F AE1 - T IH0 K - L IY0 +EMPHATICALLY(2) EH0 M - F AE1 - T IH0 - K AH0 - L IY0 +EMPHYSEMA EH2 M - F AH0 - Z IY1 - M AH0 +EMPIE EH1 M - P IY0 +EMPIRE EH1 M - P AY0 - ER0 +EMPIRE'S EH1 M - P AY0 - ER0 Z +EMPIRES EH1 M - P AY0 - ER0 Z +EMPIRICAL EH2 M - P IH1 - R IH0 - K AH0 L +EMPIRICALLY EH0 M - P IH1 - R IH0 - K AH0 - L IY0 +EMPIRICALLY(2) EH0 M - P IH1 - R IH0 K - L IY0 +EMPIRICISM EH0 M - P IH1 - R AH0 - S IH2 - Z AH0 M +EMPIRICIST IH0 M - P IH1 - R AH0 - S AH0 S T +EMPLACEMENT IH0 M - P L EY1 S - M AH0 N T +EMPLACEMENTS IH0 M - P L EY1 S - M AH0 N T S +EMPLOY EH0 M - P L OY1 +EMPLOY(2) IH0 M - P L OY1 +EMPLOYABLE EH0 M - P L OY1 - AH0 - B AH0 L +EMPLOYED EH0 M - P L OY1 D +EMPLOYED(2) IH0 M - P L OY1 D +EMPLOYEE EH0 M - P L OY1 - IY0 +EMPLOYEE'S EH0 M - P L OY1 - IY0 Z +EMPLOYEE'S(2) IH0 M - P L OY1 - IY0 Z +EMPLOYEE(2) IH0 M - P L OY1 - IY0 +EMPLOYEES EH0 M - P L OY1 - IY0 Z +EMPLOYEES' EH0 M - P L OY1 - IY0 Z +EMPLOYEES(2) IH0 M - P L OY1 - IY0 Z +EMPLOYER EH0 M - P L OY1 - ER0 +EMPLOYER'S EH0 M - P L OY1 - ER0 Z +EMPLOYER'S(2) IH0 M - P L OY1 - ER0 Z +EMPLOYER(2) IH0 M - P L OY1 - ER0 +EMPLOYERS EH0 M - P L OY1 - ER0 Z +EMPLOYERS' EH0 M - P L OY1 - ER0 Z +EMPLOYERS'(2) IH0 M - P L OY1 - ER0 Z +EMPLOYERS(2) IH0 M - P L OY1 - ER0 Z +EMPLOYING EH0 M - P L OY1 - IH0 NG +EMPLOYING(2) IH0 M - P L OY1 - IH0 NG +EMPLOYMENT EH0 M - P L OY1 - M AH0 N T +EMPLOYMENT(2) IH0 M - P L OY1 - M AH0 N T +EMPLOYMENTS EH0 M - P L OY1 - M AH0 N T S +EMPLOYMENTS(2) IH0 M - P L OY1 - M AH0 N T S +EMPLOYS EH0 M - P L OY1 Z +EMPLOYS(2) IH0 M - P L OY1 Z +EMPORIA EH0 M - P AO1 - R IY0 - AH0 +EMPORIUM EH2 M - P AO1 - R IY0 - AH0 M +EMPOWER IH0 M - P AW1 - ER0 +EMPOWERED IH0 M - P AW1 - ER0 D +EMPOWERING IH0 M - P AW1 - ER0 - IH0 NG +EMPOWERMENT IH0 M - P AW1 - ER0 - M AH0 N T +EMPOWERS IH0 M - P AW1 - ER0 Z +EMPRESA EH0 M - P R EH1 - S AH0 +EMPRESAS EH0 M - P R EH1 - S AH0 Z +EMPRESS EH1 M - P R EH0 S +EMPRISE EH0 M - P R AY1 Z +EMPSON EH1 M P - S AH0 N +EMPT EH1 M P T +EMPT(2) EH1 M T +EMPTED EH1 M P - T IH0 D +EMPTED(2) EH1 M - T IH0 D +EMPTIED EH1 M P - T IY0 D +EMPTIED(2) EH1 M - T IY0 D +EMPTIER EH1 M P - T IY0 - ER0 +EMPTIER(2) EH1 M - T IY0 - ER0 +EMPTIES EH1 M P - T IY0 Z +EMPTIES(2) EH1 M - T IY0 Z +EMPTINESS EH1 M P - T IY0 - N AH0 S +EMPTINESS(2) EH1 M - T IY0 - N AH0 S +EMPTING EH1 M P - T IH0 NG +EMPTING(2) EH1 M - T IH0 NG +EMPTION EH1 M P - SH AH0 N +EMPTIVE EH1 M P - T IH0 V +EMPTOR EH1 M P - T ER0 +EMPTS EH1 M P T S +EMPTY EH1 M P - T IY0 +EMPTY(2) EH1 M - T IY0 +EMPTYING EH1 M P - T IY0 - IH0 NG +EMPTYING(2) EH1 M - T IY0 - IH0 NG +EMRICH EH1 M - R IH0 K +EMRICK EH1 M - R IH0 K +EMRY EH1 M - R IY0 +EMSLIE EH1 M - S AH0 - L IY0 +EMSWILER EH1 M Z - W AY2 - L ER0 +EMU IY1 - M Y UW2 +EMUIL EH1 - M Y UW0 - IH2 L +EMUIL'S EH1 - M Y UW0 - IH2 L Z +EMULATE EH1 - M Y AH0 - L EY2 T +EMULATED EH1 - M Y AH0 - L EY2 - T IH0 D +EMULATING EH1 - M Y AH0 - L EY2 - T IH0 NG +EMULATION EH2 - M Y AH0 - L EY1 - SH AH0 N +EMULEX EH1 - M Y UW0 - L AH0 K S +EMULSIFIER IH0 - M AH1 L - S AH0 - F AY2 - ER0 +EMULSION IH0 - M AH1 L - SH AH0 N +EN EH1 N +ENA EH1 - N AH0 +ENABLE EH0 - N EY1 - B AH0 L +ENABLE(2) IH0 N - EY1 - B AH0 L +ENABLED EH0 - N EY1 - B AH0 L D +ENABLED(2) IH0 N - EY1 - B AH0 L D +ENABLER EH0 - N EY1 - B AH0 L - ER0 +ENABLER(2) EH0 - N EY1 - B L ER0 +ENABLER(3) IH0 N - EY1 - B L ER0 +ENABLER(4) IH0 N - EY1 - B AH0 L - ER0 +ENABLES EH0 - N EY1 - B AH0 L Z +ENABLES(2) IH0 N - EY1 - B AH0 L Z +ENABLING EH0 - N EY1 - B AH0 L - IH0 NG +ENABLING(2) IH0 N - EY1 - B AH0 L - IH0 NG +ENABLING(3) IH0 N - EY1 - B L IH0 NG +ENACT IH0 - N AE1 K T +ENACTED EH0 - N AE1 K - T AH0 D +ENACTING EH0 - N AE1 K - T IH0 NG +ENACTMENT EH0 - N AE1 K T - M AH0 N T +ENACTMENT(2) EH0 - N AE1 K - M AH0 N T +ENACTMENTS EH2 - N AE1 K T - M AH0 N T S +ENACTMENTS(2) EH2 - N AE1 K - M AH0 N T S +ENACTMENTS(3) EH2 - N AE1 K - M AH0 N S +ENACTS IH2 - N AE1 K T S +ENAMEL IH0 - N AE1 - M AH0 L +ENAMELED IH0 - N AE1 - M AH0 L D +ENAMELS IH0 - N AE1 - M AH0 L Z +ENAMOR EH0 - N AE1 - M ER0 +ENAMORED EH0 - N AE1 - M ER0 D +ENASA EY0 - N AA1 - S AH0 +ENBERG EH1 N - B ER0 G +ENCAMP IH0 N - K AE1 M P +ENCAMPED IH0 N - K AE1 M P T +ENCAMPMENT IH0 N - K AE1 M P - M IH0 N T +ENCAMPMENTS IH0 N - K AE1 M P - M IH0 N T S +ENCAPSULATE EH0 N - K AE1 P - S AH0 - L EY2 T +ENCAPSULATED EH0 N - K AE1 P - S AH0 - L EY2 - T IH0 D +ENCAPSULATING EH0 N - K AE1 P - S AH0 - L EY2 - T IH0 NG +ENCARNACION IH0 N - K AA0 R - N AA0 - S IY0 - AO1 N +ENCARTA EH0 N - K AA1 R - T AH2 +ENCARTA(2) EH0 N - K AA1 R - T AH0 +ENCASE EH0 N - K EY1 S +ENCASED EH0 N - K EY1 S T +ENCATA EH0 N - K AA1 - T AH2 +ENCATA'S EH0 N - K AA1 - T AH2 Z +ENCATA'S(2) EH0 N - K AA1 - T AH0 Z +ENCATA(2) EH0 N - K AA1 - T AH0 +ENCEPHALITIS EH0 N - S EH2 - F AH0 - L AY1 - T AH0 S +ENCEPHALOPATHY EH0 N - S EH2 - F AH0 - L AO1 - P AH0 - TH IY0 +ENCHANT EH0 N - CH AE1 N T +ENCHANTED EH0 N - CH AE1 N - T IH0 D +ENCHANTED(2) EH0 N - CH AE1 - N IH0 D +ENCHANTER EH0 N - CH AE1 N - T ER0 +ENCHANTER'S EH0 N - CH AE1 N - T ER0 Z +ENCHANTER'S(2) IH0 N - CH AE1 N - T ER0 Z +ENCHANTER'S(3) EH0 N - CH AE1 - N ER0 Z +ENCHANTER'S(4) IH0 N - CH AE1 - N ER0 Z +ENCHANTERS EH0 N - CH AE1 N - T ER0 Z +ENCHANTERS(2) IH0 N - CH AE1 N - T ER0 Z +ENCHANTERS(3) EH0 N - CH AE1 - N ER0 Z +ENCHANTERS(4) IH0 N - CH AE1 - N ER0 Z +ENCHANTING EH0 N - CH AE1 N - T IH0 NG +ENCHANTING(2) EH0 N - CH AE1 - N IH0 NG +ENCHANTMENT EH0 N - CH AE1 N T - M AH0 N T +ENCHILADA EH0 N - CH IH0 - L AA1 - D AH0 +ENCINAS EH1 N - S IH0 - N AH0 Z +ENCINIAS IH0 N - S IY0 - N IY1 - AH0 Z +ENCINO EH0 N - S IY1 - N OW0 +ENCIRCLE EH0 N - S ER1 - K AH0 L +ENCIRCLED IH0 N - S ER1 - K AH0 L D +ENCIRCLEMENT EH0 N - S ER1 - K AH0 L - M AH0 N T +ENCIRCLING EH0 N - S ER1 - K AH0 L - IH0 NG +ENCIRCLING(2) EH0 N - S ER1 - K L IH0 NG +ENCISO IH0 N - S IY1 - S OW0 +ENCK EH1 NG K +ENCLAVE AA1 N - K L EY2 V +ENCLAVE(2) EH1 N - K L EY2 V +ENCLAVES AA1 N - K L EY2 V Z +ENCLAVES(2) EH1 N - K L EY2 V Z +ENCLOSE IH0 N - K L OW1 Z +ENCLOSED EH0 N - K L OW1 Z D +ENCLOSED(2) IH0 N - K L OW1 Z D +ENCLOSING EH0 N - K L OW1 - Z IH0 NG +ENCLOSURE EH0 N - K L OW1 - ZH ER0 +ENCLOSURE(2) IH0 N - K L OW1 - ZH ER0 +ENCLOSURES IH0 N - K L OW1 - ZH ER0 Z +ENCODE EH0 N - K OW1 D +ENCODED EH0 N - K OW1 - D IH0 D +ENCODING EH0 N - K OW1 - D IH0 NG +ENCOMPASS EH0 N - K AH1 M - P AH0 S +ENCOMPASSED EH0 N - K AH1 M - P AH0 S T +ENCOMPASSES EH0 N - K AH1 M - P AH0 - S AH0 Z +ENCOMPASSING EH0 N - K AH1 M - P AH0 - S IH0 NG +ENCOR EH1 N - K AO2 R +ENCOR'S EH1 N - K AO2 R Z +ENCORE AA1 N - K AO2 R +ENCORES AA1 N - K AO2 R Z +ENCOUNTER IH0 N - K AW1 N - T ER0 +ENCOUNTER(2) IH0 N - K AW1 - N ER0 +ENCOUNTERED IH0 N - K AW1 N - T ER0 D +ENCOUNTERED(2) IH0 N - K AW1 - N ER0 D +ENCOUNTERING EH0 N - K AW1 N - T ER0 - IH0 NG +ENCOUNTERING(2) EH0 N - K AW1 - N ER0 - IH0 NG +ENCOUNTERS IH0 N - K AW1 N - T ER0 Z +ENCOUNTERS(2) IH0 N - K AW1 - N ER0 Z +ENCOURAGE EH0 N - K ER1 - IH0 JH +ENCOURAGE(2) IH0 N - K ER1 - AH0 JH +ENCOURAGED EH0 N - K ER1 - IH0 JH D +ENCOURAGED(2) IH0 N - K ER1 - AH0 JH D +ENCOURAGEMENT EH0 N - K ER1 - IH0 JH - M AH0 N T +ENCOURAGES EH0 N - K ER1 - IH0 - JH IH0 Z +ENCOURAGES(2) IH0 N - K ER1 - AH0 - JH AH0 Z +ENCOURAGING EH0 N - K ER1 - IH0 - JH IH0 NG +ENCOURAGING(2) IH0 N - K ER1 - AH0 - JH IH0 NG +ENCROACH IH0 N - K R OW1 CH +ENCROACHED IH0 N - K R OW1 CH T +ENCROACHES IH0 N - K R OW1 - CH IH0 Z +ENCROACHING IH0 N - K R OW1 - CH IH0 NG +ENCROACHMENT EH0 N - K R OW1 CH - M AH0 N T +ENCROACHMENTS IH0 N - K R OW1 CH - M AH0 N T S +ENCRUST EH0 N - K R AH1 S T +ENCRUSTED EH0 N - K R AH1 - S T IH0 D +ENCRUSTING EH0 N - K R AH1 - S T IH0 NG +ENCRYPT EH0 N - K R IH1 P T +ENCRYPT(2) IH0 N - K R IH1 P T +ENCRYPTED EH0 N - K R IH1 P - T IH0 D +ENCRYPTED(2) IH0 N - K R IH1 P - T IH0 D +ENCRYPTION EH0 N - K R IH1 P - SH AH0 N +ENCUMBER EH0 N - K AH1 M - B ER0 +ENCUMBERED EH0 N - K AH1 M - B ER0 D +ENCYCLICAL EH0 N - S IH1 - K L IH0 - K AH0 L +ENCYCLICALS EH0 N - S IH1 - K L IH0 - K AH0 L Z +ENCYCLOPAEDIA IH0 N - S AY2 - K L AH0 - P IY1 - D IY0 - AH0 +ENCYCLOPAEDIA(2) IH0 N - S AY2 - K L OW0 - P IY1 - D IY0 - AH0 +ENCYCLOPEDIA IH0 N - S AY2 - K L AH0 - P IY1 - D IY0 - AH0 +ENCYCLOPEDIA(2) IH0 N - S AY2 - K L OW0 - P IY1 - D IY0 - AH0 +ENCYCLOPEDIAS IH0 N - S AY2 - K L AH0 - P IY1 - D IY0 - AH0 Z +ENCYCLOPEDIAS(2) IH0 N - S AY2 - K L OW0 - P IY1 - D IY0 - AH0 Z +ENCYCLOPEDIC IH0 N - S AY2 - K L AH0 - P IY1 - D IH0 K +ENCYCLOPEDIC(2) IH0 N - S AY2 - K L OW0 - P IY1 - D IH0 K +ENCYCLOPEDIST IH0 N - S AY2 - K L AH0 - P IY1 - D AH0 S T +ENCYCLOPEDIST(2) IH0 N - S AY2 - K L OW0 - P IY1 - D AH0 S T +END EH1 N D +ENDAKA EH0 N - D AA1 - K AH0 +ENDANGER EH0 N - D EY1 N - JH ER0 +ENDANGERED EH0 N - D EY1 N - JH ER0 D +ENDANGERED(2) IH0 N - D EY1 N - JH ER0 D +ENDANGERING EH0 N - D EY1 N - JH ER0 - IH0 NG +ENDANGERMENT EH0 N - D EY1 N - JH ER0 - M AH0 N T +ENDANGERS EH0 N - D EY1 N - JH ER0 Z +ENDARA EH1 N - D AA1 - R AH0 +ENDE EH1 N D +ENDEAR EH0 N - D IY1 R +ENDEARED EH0 N - D IY1 R D +ENDEARING EH0 N - D IY1 - R IH0 NG +ENDEARMENT IH0 N - D IH1 R - M AH0 N T +ENDEAVOR IH0 N - D EH1 - V ER0 +ENDEAVOR'S IH0 N - D EH1 - V ER0 Z +ENDEAVORED IH0 N - D EH1 - V ER0 D +ENDEAVORING IH0 N - D EH1 - V ER0 - IH0 NG +ENDEAVORING(2) IH0 N - D EH1 - V R IH0 NG +ENDEAVORS IH0 N - D EH1 - V ER0 Z +ENDEAVOUR IH0 N - D EH1 - V ER0 +ENDEAVOUR'S IH0 N - D EH1 - V ER0 Z +ENDED EH1 N - D AH0 D +ENDED(2) EH1 N - D IH0 D +ENDEMIC EH0 N - D EH1 - M IH0 K +ENDER EH1 N - D ER0 +ENDERBY EH1 N - D ER0 - B IY0 +ENDERLE EH1 N - D ER0 - AH0 L +ENDERLIN EH1 N - D ER0 - L IH0 N +ENDERS EH1 N - D ER0 Z +ENDERSON EH1 N - D ER0 - S AH0 N +ENDEVCO EH0 N - D EH1 V - K OW0 +ENDGAME EH1 N D - G EY0 M +ENDGAMES EH1 N D - G EY0 M Z +ENDICOTT EH1 N - D IH0 - K AA2 T +ENDING EH1 N - D IH0 NG +ENDINGS EH1 N - D IH0 NG Z +ENDIVE EH1 N - D IH0 V +ENDLER EH1 N D - L ER0 +ENDLESS EH1 N D - L AH0 S +ENDLESSLY EH1 N D - L AH0 S - L IY0 +ENDLICH EH1 N D - L IH0 K +ENDO EH1 N - D OW0 +ENDOCRINE EH1 N - D OW0 - K R AY2 N +ENDOCRINOLOGIST EH2 N - D OW0 - K R AH0 - N AA1 - L AH0 - JH AH0 S T +ENDOCRINOLOGIST'S EH2 N - D OW0 - K R AH0 - N AA1 - L AH0 - JH AH0 S T S +ENDOCRINOLOGISTS EH2 N - D OW0 - K R AH0 - N AA1 - L AH0 - JH AH0 S T S +ENDOCRINOLOGISTS(2) EH2 N - D OW0 - K R AH0 - N AA1 - L AH0 - JH AH0 S S +ENDOCRINOLOGISTS(3) EH2 N - D OW0 - K R AH0 - N AA1 - L AH0 - JH AH0 S +ENDOCRINOLOGY EH2 N - D OW0 - K R AH0 - N AA1 - L AH0 - JH IY0 +ENDODERMAL EH2 N - D OW0 - D ER1 - M AH0 L +ENDOMETRIAL EH2 N - D OW0 - M EH2 - T R IY0 - AH0 L +ENDOMETRIOSIS EH2 N - D OW0 - M EH2 - T R IY0 - OW1 - S IH0 S +ENDORPHIN EH0 N - D AO1 R - F IH0 N +ENDORPHINS EH0 N - D AO1 R - F IH0 N Z +ENDORSE EH0 N - D AO1 R S +ENDORSED EH0 N - D AO1 R S T +ENDORSEMENT EH0 N - D AO1 R S - M AH0 N T +ENDORSEMENTS EH0 N - D AO1 R S - M AH0 N T S +ENDORSER IH0 N - D AO1 R - S ER0 +ENDORSERS IH0 N - D AO1 R - S ER0 Z +ENDORSES EH0 N - D AO1 R - S IH0 Z +ENDORSING EH0 N - D AO1 R - S IH0 NG +ENDOSCOPIC EH2 N - D OW0 - S K AA1 - P IH0 K +ENDOSPERM EH1 N - D AH0 - S P ER2 M +ENDOTHERMIC EH2 N - D OW0 - TH ER1 - M IH0 K +ENDOTRONICS EH2 N - D OW0 - T R AA1 - N IH0 K S +ENDOTRONICS' EH2 N - D AH0 - T R AA1 - N IH0 K S +ENDOTRONICS'S EH2 N - D OW0 - T R AA1 - N IH0 K - S IH0 Z +ENDOW EH0 N - D AW1 +ENDOWED EH0 N - D AW1 D +ENDOWING EH0 N - D AW1 - IH0 NG +ENDOWMENT EH0 N - D AW1 - M AH0 N T +ENDOWMENT'S EH0 N - D AW1 - M AH0 N T S +ENDOWMENTS EH0 N - D AW1 - M AH0 N T S +ENDPOINT EH1 N D - P OY2 N T +ENDRES EH1 N - D ER0 Z +ENDRESS EH1 N - D R IH0 S +ENDRIZZI IH0 N - D R IY1 T - S IY0 +ENDS EH1 N D Z +ENDSLEY EH1 N D S - L IY0 +ENDTIMER EH1 N D - T AY0 - M ER0 +ENDTIMERS EH1 N D - T AY0 - M ER0 Z +ENDUED EH0 N - D UW1 D +ENDURANCE EH1 N - D ER0 - AH0 N S +ENDURE EH0 N - D Y UH1 R +ENDURE(2) IH0 N - D UH1 R +ENDURED EH0 N - D Y UH1 R D +ENDURED(2) IH0 N - D UH1 R D +ENDURES EH0 N - D Y UH1 R Z +ENDURES(2) IH0 N - D UH1 R Z +ENDURING EH0 N - D Y UH1 - R IH0 NG +ENDURING(2) IH0 N - D UH1 - R IH0 NG +ENDY EH1 N - D IY0 +ENEA EH1 - N IY0 - AH0 +ENEMA EH1 - N AH0 - M AH0 +ENEMAS EH1 - N AH0 - M AH0 Z +ENEMIES EH1 - N AH0 - M IY0 Z +ENEMIES' EH1 - N AH0 - M IY0 Z +ENEMY EH1 - N AH0 - M IY0 +ENEMY'S EH1 - N AH0 - M IY0 Z +ENERGAS EH1 - N ER0 - G AE2 S +ENERGEN EH1 - N ER0 - JH EH2 N +ENERGETIC EH2 - N ER0 - JH EH1 - T IH0 K +ENERGETICALLY EH2 - N ER0 - JH EH1 - T IH0 K - L IY0 +ENERGIES EH1 - N ER0 - JH IY0 Z +ENERGIZE EH1 - N ER0 - JH AY2 Z +ENERGIZED EH1 - N ER0 - JH AY2 Z D +ENERGIZER EH1 - N ER0 - JH AY2 - Z ER0 +ENERGIZES EH1 - N ER0 - JH AY2 - Z IH0 Z +ENERGIZING EH1 - N ER0 - JH AY2 - Z IH0 NG +ENERGY EH1 - N ER0 - JH IY0 +ENERGY'S EH1 - N ER0 - JH IY0 Z +ENERSON EH1 - N ER0 - S AH0 N +ENEX IY1 - N AH0 K S +ENFANT EH1 N - F AA2 N T +ENFANT(2) AA2 N - F AA1 N T +ENFEEBLE EH0 N - F IY1 - B AH0 L +ENFEEBLED EH0 N - F IY1 - B AH0 L D +ENFIELD EH1 N - F IY0 L D +ENFIELD'S EH1 N - F IY0 L D Z +ENFINGER EH1 N - F IH0 - NG ER0 +ENFOLD IH0 N - F OW1 L D +ENFORCE EH0 N - F AO1 R S +ENFORCEABILITY EH0 N - F AO2 R - S AH0 - B IH1 - L IH0 - T IY0 +ENFORCEABLE EH0 N - F AO1 R - S AH0 - B AH0 L +ENFORCED EH0 N - F AO1 R S T +ENFORCEMENT EH0 N - F AO1 R S - M AH0 N T +ENFORCEMENT'S EH0 N - F AO1 R S - M AH0 N T S +ENFORCEMENTS EH0 N - F AO1 R S - M AH0 N T S +ENFORCER EH0 N - F AO1 R - S ER0 +ENFORCERS EH0 N - F AO1 R - S ER0 Z +ENFORCES EH0 N - F AO1 R - S IH0 Z +ENFORCING EH0 N - F AO1 R - S IH0 NG +ENFRANCHISE IH0 N - F R AE1 N - CH AY2 Z +ENFRANCHISED EH0 N - F R AE1 N - CH AY2 Z D +ENFRANCHISES EH0 N - F R AE1 N - CH AY2 - Z IH0 Z +ENG EH1 NG +ENGAGE EH0 N - G EY1 JH +ENGAGED EH0 N - G EY1 JH D +ENGAGEMENT EH0 N - G EY1 JH - M AH0 N T +ENGAGEMENTS EH0 N - G EY1 JH - M AH0 N T S +ENGAGES EH0 N - G EY1 - JH IH0 Z +ENGAGING EH0 N - G EY1 - JH IH0 NG +ENGBERG EH1 NG - B ER0 G +ENGDAHL EH1 NG - D AA0 L +ENGE EH1 N JH +ENGEBRETSEN EH1 NG - G IH0 - B R IH0 T - S AH0 N +ENGEBRETSON EH1 NG - G IH0 - B R IH0 T - S AH0 N +ENGEL EH1 N - G AH0 L +ENGELBERG EH1 NG - G AH0 L - B ER0 G +ENGELBERT EH1 NG - G IH0 L - B ER0 T +ENGELBERTA EH0 NG - G EH0 L - B EH1 R - T AH0 +ENGELBRECHT EH1 NG - G IH0 L - B R IH0 K T +ENGELEITER EH1 NG - G AH0 - L AY2 - T ER0 +ENGELHARD EH1 NG - G AH0 L - HH AA2 R D +ENGELHARDT EH1 NG - G IH0 L - HH AA0 R T +ENGELHART EH1 NG - G AH0 L - HH AA2 R T +ENGELKE EH1 NG - G IH0 L K +ENGELKEN EH1 NG - G IH0 L - K AH0 N +ENGELKING EH1 NG - G IH0 L - K IH0 NG +ENGELMAN EH1 NG - G AH0 L - M AH0 N +ENGELMANN EH1 NG - G AH0 L - M AH0 N +ENGELS EH1 NG - G AH0 L Z +ENGELSON EH1 NG - G IH0 L - S AH0 N +ENGELSTAD EH1 NG - G IH0 L - S T AH0 D +ENGEMAN EH1 N JH - M AH0 N +ENGEN EH1 - NG AH0 N +ENGENDER EH0 N - JH EH1 N - D ER0 +ENGENDER(2) IH0 N - JH EH1 N - D ER0 +ENGENDERED EH0 N - JH EH1 N - D ER0 D +ENGENDERS EH1 NG - G AH0 N - D ER0 Z +ENGER EH1 NG - G ER0 +ENGERT EH1 NG - G ER0 T +ENGESSER EH1 NG - G IH0 - S ER0 +ENGH EH1 NG +ENGHOLM EH1 NG - HH OW0 L M +ENGINE EH1 N - JH AH0 N +ENGINE'S EH1 N - JH AH0 N Z +ENGINE(2) IH1 N - JH AH0 N +ENGINED EH1 N - JH AH0 N D +ENGINEER EH1 N - JH AH0 - N IH1 R +ENGINEER'S EH2 N - JH AH0 - N IY1 R Z +ENGINEERED EH2 N - JH AH0 - N IY1 R D +ENGINEERING EH1 N - JH AH0 - N IH1 - R IH0 NG +ENGINEERS EH1 N - JH AH0 - N IH1 R Z +ENGINEERS' EH1 N - JH AH0 - N IH1 R Z +ENGINES EH1 N - JH AH0 N Z +ENGINES' EH1 NG - G IY2 N Z +ENGLAND IH1 NG - G L AH0 N D +ENGLAND'S IH1 NG - G L AH0 N D Z +ENGLANDER IH1 NG - G L AH0 N - D ER0 +ENGLANDERS IH1 NG - G L AH0 N - D ER0 Z +ENGLANDS IH1 NG - G L AH0 N D Z +ENGLE EH1 NG - G AH0 L +ENGLEBERT IH1 - NG AH0 L - B ER0 T +ENGLEHARDT IH1 NG - AH0 L - HH AA0 R T +ENGLEHART IH1 NG - AH0 L - HH AA0 R T +ENGLEMAN IH1 - NG AH0 L - M AH0 N +ENGLER EH1 NG - G AH0 - L ER0 +ENGLER'S EH1 NG - G AH0 - L ER0 Z +ENGLER'S(2) EH1 NG - G L ER0 Z +ENGLER(2) EH1 NG - G L ER0 +ENGLERT IH1 NG - L ER0 T +ENGLERTH IH1 NG - L ER0 TH +ENGLES IH1 - NG AH0 L Z +ENGLEWOOD EH1 NG - G AH0 L - W UH2 D +ENGLISH IH1 NG - G L IH0 SH +ENGLISH(2) IH1 NG - L IH0 SH +ENGLISHMAN IH1 NG - G L IH0 SH - M AH0 N +ENGLISHMEN EH2 NG - L IH1 SH - M AH0 N +ENGLISHWOMAN IH1 NG - G L IH0 SH - W UH2 - M AH0 N +ENGLUND IH1 NG - L AH0 N D +ENGMAN EH1 NG - M AH0 N +ENGQUIST EH1 NG - K W IH0 S T +ENGRAM EH1 N - G R AE2 M +ENGRAVE IH0 N - G R EY1 V +ENGRAVED IH0 N - G R EY1 V D +ENGRAVER IH0 N - G R EY1 - V ER0 +ENGRAVING IH0 N - G R EY1 - V IH0 NG +ENGRAVINGS IH0 N - G R EY1 - V IH0 NG Z +ENGROSS IH0 N - G R OW1 S +ENGROSSED IH0 N - G R OW1 S T +ENGROSSING IH0 N - G R OW1 - S IH0 NG +ENGSTRAND EH1 NG - S T R AH0 N D +ENGSTROM EH1 NG - S T R AH0 M +ENGULF IH0 N - G AH1 L F +ENGULFED IH0 N - G AH1 L F T +ENGULFING IH0 N - G AH1 L - F IH0 NG +ENGWALL IH0 NG - W AO1 L +ENHANCE EH0 N - HH AE1 N S +ENHANCED EH0 N - HH AE1 N S T +ENHANCED(2) IH0 N - HH AE1 N S T +ENHANCEMENT EH0 N - HH AE1 N S - M AH0 N T +ENHANCEMENTS EH0 N - HH AE1 N S - M AH0 N T S +ENHANCER EH0 N - HH AE1 N - S ER0 +ENHANCES EH0 N - HH AE1 N - S IH0 Z +ENHANCING EH0 N - HH AE1 N - S IH0 NG +ENHOLM EH1 N - HH OW2 L M +ENHOLME EH1 N - HH OW2 L M +ENIAC IY1 - N IY0 - AE2 K +ENICHEM EH1 - N IH0 - CH AH0 M +ENID IY1 - N IH0 D +ENIGMA IH0 - N IH1 G - M AH0 +ENIGMATIC EH2 - N IH0 G - M AE1 - T IH0 K +ENIMONT IY1 - N IH0 - M AA2 N T +ENIS EH1 - N IH0 S +ENITT EH1 - N IH0 T +ENIX EH1 - N IH0 K S +ENJOIN EH0 N - JH OY1 N +ENJOIN(2) IH0 N - JH OY1 N +ENJOINED EH0 N - JH OY1 N D +ENJOINING EH0 N - JH OY1 - N IH0 NG +ENJOY EH0 N - JH OY1 +ENJOY(2) IH0 N - JH OY1 +ENJOYABLE EH0 N - JH OY1 - AH0 - B AH0 L +ENJOYED EH0 N - JH OY1 D +ENJOYED(2) IH0 N - JH OY1 D +ENJOYING EH0 N - JH OY1 - IH0 NG +ENJOYING(2) IH0 N - JH OY1 - IH0 NG +ENJOYMENT EH0 N - JH OY1 - M AH0 N T +ENJOYMENT(2) IH0 N - JH OY1 - M AH0 N T +ENJOYMENTS EH0 N - JH OY1 - M AH0 N T S +ENJOYS EH0 N - JH OY1 Z +ENJOYS(2) IH0 N - JH OY1 Z +ENKE EH1 NG K +ENLARGE EH0 N - L AA1 R JH +ENLARGE(2) IH0 N - L AA1 R JH +ENLARGED EH0 N - L AA1 R JH D +ENLARGED(2) IH0 N - L AA1 R JH D +ENLARGEMENT IH0 N - L AA1 R JH - M AH0 N T +ENLARGEMENTS IH0 N - L AA1 R JH - M AH0 N T S +ENLARGER IH0 N - L AA1 R - G ER0 +ENLARGES IH0 N - L AA1 R - JH IH0 Z +ENLARGING IH0 N - L AA1 R - JH IH0 NG +ENLIGHTEN EH0 N - L AY1 - T AH0 N +ENLIGHTENED EH0 N - L AY1 - T AH0 N D +ENLIGHTENING EH0 N - L AY1 - T AH0 N - IH0 NG +ENLIGHTENING(2) EH0 N - L AY1 T - N IH0 NG +ENLIGHTENMENT EH0 N - L AY1 - T AH0 N - M AH0 N T +ENLIST EH0 N - L IH1 S T +ENLISTED EH0 N - L IH1 - S T IH0 D +ENLISTED(2) IH0 N - L IH1 - S T AH0 D +ENLISTEE IH0 N - L IH2 - S T IY1 +ENLISTEES IH0 N - L IH2 - S T IY1 Z +ENLISTING EH0 N - L IH1 - S T IH0 NG +ENLISTING(2) IH0 N - L IH1 - S T IH0 NG +ENLISTMENT EH0 N - L IH1 S T - M AH0 N T +ENLISTS EH0 N - L IH1 S T S +ENLISTS(2) EH0 N - L IH1 S S +ENLISTS(3) EH0 N - L IH1 S +ENLIVEN EH0 N - L AY1 - V AH0 N +ENLIVENED EH0 N - L AY1 - V AH0 N D +ENLO EH1 N - L OW0 +ENLOE IH0 N - L OW1 +ENLOW IH0 N - L OW1 +ENMAN EH1 N - M AH0 N +ENMESH EH0 N - M EH1 SH +ENMESHED EH0 N - M EH1 SH T +ENMITIES EH1 N - M AH0 - T IY0 Z +ENMITIES(2) EH1 N - M IH0 - T IY0 Z +ENMITY EH1 N - M AH0 - T IY0 +ENMITY(2) EH1 N - M IH0 - T IY0 +ENNEA EH1 - N IY0 - AH0 +ENNEKING EH1 - N IH0 - K IH0 NG +ENNEN EH1 - N AH0 N +ENNES EH1 N Z +ENNES(2) EH1 - N EH0 Z +ENNIS EH1 - N IH0 S +ENNOBLE IH0 - N OW1 - B AH0 L +ENNOSUKE EH1 - N AH0 - S UW0 K +ENNS EH1 N Z +ENNUI EH0 - N UW1 - IY0 +ENO EH1 - N OW0 +ENOCH IY1 - N AH0 K +ENOCHS EH1 - N AH0 K S +ENOLA IH0 - N OW1 - L AH0 +ENOMOTO IH0 - N OW0 - M OW1 - T OW0 +ENORMITY IH0 - N AO1 R - M AH0 - T IY0 +ENORMITY(2) IY0 - N AO1 R - M AH0 - T IY0 +ENORMOUS IH0 - N AO1 R - M AH0 S +ENORMOUS(2) IH0 - N AO1 R - M IH0 S +ENORMOUS(3) IY0 - N AO1 R - M AH0 S +ENORMOUS(4) IY0 - N AO1 R - M IH0 S +ENORMOUSLY IH0 - N AO1 R - M AH0 S - L IY0 +ENORMOUSLY(2) IY0 - N AO1 R - M AH0 S - L IY0 +ENOUGH IH0 N - AH1 F +ENOUGH'S IH0 N - AH1 F S +ENOUGH'S(2) IY0 - N AH1 F S +ENOUGH(2) IY0 - N AH1 F +ENQUESO EH0 N - K W EH1 - S OW0 +ENQUIRE IH0 N - K W AY1 - ER0 +ENQUIRER IH0 N - K W AY1 - R ER0 +ENQUIST EH1 N - K W IH2 S T +ENRAGE EH0 N - R EY1 JH +ENRAGED EH0 N - R EY1 JH D +ENRAGED(2) IH0 N - R EY1 JH D +ENRAGING EH0 N - R EY1 - JH IH0 NG +ENRAPTURE EH0 N - R AE1 P - CH ER0 +ENRAPTURED EH0 N - R AE1 P - CH ER0 D +ENRICA IH0 N - R IY1 - K AH0 +ENRICH EH0 N - R IH1 CH +ENRICH(2) IH0 N - R IH1 CH +ENRICHED EH0 N - R IH1 CH T +ENRICHES EH0 N - R IH1 - CH IH0 Z +ENRICHING EH0 N - R IH1 - CH IH0 NG +ENRICHING(2) IH0 N - R IH1 - CH IH0 NG +ENRICHMENT EH0 N - R IH1 CH - M AH0 N T +ENRICHMENT(2) IH0 N - R IH1 CH - M AH0 N T +ENRICO EH0 N - R IY1 - K OW0 +ENRIGHT IH0 N - R AY1 T +ENRILE EH0 N - R IY1 L +ENRILE(2) EH0 N - R IY1 - L EY2 +ENRIQUE EH0 N - R IY1 - K EY0 +ENRIQUEZ IH0 N - R IY1 - K W EH0 Z +ENRO EH1 N - R OW0 +ENROLL EH0 N - R OW1 L +ENROLL(2) IH0 N - R OW1 L +ENROLLED EH0 N - R OW1 L D +ENROLLEE EH0 N - R OW1 - L IY1 +ENROLLEES EH0 N - R OW1 - L IY1 Z +ENROLLING EH0 N - R OW1 - L IH0 NG +ENROLLMENT EH0 N - R OW1 L - M AH0 N T +ENROLLMENTS EH0 N - R OW1 L - M AH0 N T S +ENROLLS EH0 N - R OW1 L Z +ENRON EH1 N - R AA0 N +ENRON'S EH1 N - R AA0 N Z +ENROUTE EH0 N - R UW1 T +ENSCO EH1 N - S K OW0 +ENSCO'S EH1 N - S K OW0 Z +ENSCONCE IH0 N - S K AA1 N S +ENSCONCED IH0 N - S K AA1 N S T +ENSECO EH0 N - S EH1 - K OW0 +ENSEMBLE AA0 N - S AA1 M - B AH0 L +ENSEMBLES AA0 N - S AA1 M - B AH0 L Z +ENSERCH EH1 N - S ER0 CH +ENSEY EH1 N - Z IY0 +ENSHRINE EH0 N - SH R AY1 N +ENSHRINED EH0 N - SH R AY1 N D +ENSHROUD IH0 N - SH R AW1 D +ENSHROUDED IH0 N - SH R AW1 - D AH0 D +ENSIGN EH1 N - S AH0 N +ENSING EH1 N - S IH0 NG +ENSINGER EH1 N - S IH0 N - JH ER0 +ENSKILDA EH0 N - S K IH1 L - D AH0 +ENSLAVE EH0 N - S L EY1 V +ENSLAVED EH0 N - S L EY1 V D +ENSLAVEMENT EH0 N - S L EY1 V - M AH0 N T +ENSLEN EH1 N - S AH0 - L AH0 N +ENSLEY EH1 N S - L IY0 +ENSLIN EH1 N - S L IH0 N +ENSLOW IH0 N - S L OW1 +ENSMINGER EH1 N - S AH0 - M IH0 - NG ER0 +ENSNARE IH0 N - S N EH1 R +ENSNARED IH0 N - S N EH1 R D +ENSNARL IH0 N - S N AA1 R L +ENSNARLED IH0 N - S N AA1 R L D +ENSOR EH1 N - S ER0 +ENSOURCE EH0 N - S AO1 R S +ENSRUD EH1 N - Z R UW2 D +ENSTROM EH1 N - S T R AH0 M +ENSUE IH0 N - S UW1 +ENSUED IH0 N - S UW1 D +ENSUES IH0 N - S UW1 Z +ENSUING EH1 N - S UW0 - IH0 NG +ENSURE EH0 N - SH UH1 R +ENSURE(2) IH0 N - SH UH1 R +ENSURED EH0 N - SH UH1 R D +ENSURED(2) IH0 N - SH UH1 R D +ENSURES EH0 N - SH UH1 R Z +ENSURES(2) IH0 N - SH UH1 R Z +ENSURING EH0 N - SH UH1 - R IH0 NG +ENSURING(2) IH0 N - SH UH1 - R IH0 NG +ENSZ EH1 N SH +ENT EH1 N T +ENTAIL EH0 N - T EY1 L +ENTAILED IH0 N - T EY1 L D +ENTAILING IH0 N - T EY1 - L IH0 NG +ENTAILS IH0 N - T EY1 L Z +ENTANGLE EH0 N - T AE1 NG - G AH0 L +ENTANGLED EH0 N - T AE1 NG - G AH0 L D +ENTANGLEMENT EH0 N - T AE1 NG - G AH0 L - M AH0 N T +ENTANGLEMENT(2) IH0 N - T AE1 NG - G AH0 L - M AH0 N T +ENTANGLEMENTS EH0 N - T AE1 NG - G AH0 L - M AH0 N T S +ENTANGLEMENTS(2) IH0 N - T AE1 NG - G AH0 L - M AH0 N T S +ENTANGLING IH0 N - T AE1 NG - L IH0 NG +ENTANGLING(2) EH0 N - T AE1 NG - L IH0 NG +ENTE EH1 N - T EY0 +ENTEBBE EH2 N - T EH1 - B IY0 +ENTEBBE'S EH2 N - T EH1 - B IY0 Z +ENTENDRE AA0 N - T AA1 N - D R AH0 +ENTENMANN EH1 N - T AH0 N - M AH0 N +ENTENMANN'S EH1 N - T AH0 N - M AH0 N Z +ENTER EH1 N - T ER0 +ENTER(2) EH1 - N ER0 +ENTERED EH1 N - T ER0 D +ENTERED(2) EH1 - N ER0 D +ENTERGY EH1 N - T ER0 - JH IY0 +ENTERING EH1 N - T ER0 - IH0 NG +ENTERING(2) EH1 - N ER0 - IH0 NG +ENTERITIDIS EH2 N - T ER0 - IH1 - T IH0 - D IH0 S +ENTERIVIDOUS EH2 N - T ER0 - IH1 - V IH0 - D AH0 S +ENTERLINE EH1 N - T ER0 - L AY2 N +ENTERLINE'S EH1 N - T ER0 - L AY2 N Z +ENTERPRISE EH1 N - T ER0 - P R AY2 Z +ENTERPRISE'S EH1 N - T ER0 - P R AY2 - Z AH0 Z +ENTERPRISE'S(2) EH1 N - T ER0 - P R AY2 - Z IH0 Z +ENTERPRISE'S(3) EH1 - N ER0 - P R AY2 - Z AH0 Z +ENTERPRISE'S(4) EH1 - N ER0 - P R AY2 - Z IH0 Z +ENTERPRISE(2) EH1 - N ER0 - P R AY2 Z +ENTERPRISES EH1 N - T ER0 - P R AY2 - Z IH0 Z +ENTERPRISES' EH1 N - T ER0 - P R AY2 - Z IH0 Z +ENTERPRISES'(2) EH1 - N ER0 - P R AY2 - Z IH0 Z +ENTERPRISES(2) EH1 - N ER0 - P R AY2 - Z IH0 Z +ENTERPRISING EH1 N - T ER0 - P R AY2 - Z IH0 NG +ENTERPRISING(2) EH1 - N ER0 - P R AY2 - Z IH0 NG +ENTERRA EH0 N - T EH1 - R AH0 +ENTERS EH1 N - T ER0 Z +ENTERS(2) EH1 - N ER0 Z +ENTERTAIN EH2 N - T ER0 - T EY1 N +ENTERTAIN(2) EH2 - N ER0 - T EY1 N +ENTERTAINED EH2 N - T ER0 - T EY1 N D +ENTERTAINED(2) EH2 - N ER0 - T EY1 N D +ENTERTAINER EH2 N - T ER0 - T EY1 - N ER0 +ENTERTAINER'S EH2 N - T ER0 - T EY1 - N ER0 Z +ENTERTAINER'S(2) EH2 - N ER0 - T EY1 - N ER0 Z +ENTERTAINER(2) EH2 - N ER0 - T EY1 - N ER0 +ENTERTAINERS EH2 N - T ER0 - T EY1 - N ER0 Z +ENTERTAINERS(2) EH2 - N ER0 - T EY1 - N ER0 Z +ENTERTAINING EH2 N - T ER0 - T EY1 - N IH0 NG +ENTERTAINING(2) EH2 - N ER0 - T EY1 - N IH0 NG +ENTERTAINMENT EH2 N - T ER0 - T EY1 N - M AH0 N T +ENTERTAINMENT'S EH2 N - T ER0 - T EY1 N - M AH0 N T S +ENTERTAINMENT'S(2) EH2 - N ER0 - T EY1 N - M AH0 N T S +ENTERTAINMENT(2) EH2 - N ER0 - T EY1 N - M AH0 N T +ENTERTAINMENTS EH2 N - T ER0 - T EY1 N - M AH0 N T S +ENTERTAINMENTS(2) EH2 - N ER0 - T EY1 N - M AH0 N T S +ENTERTAINS EH2 N - T ER0 - T EY1 N Z +ENTERTAINS(2) EH2 - N ER0 - T EY1 N Z +ENTEX EH1 N - T EH2 K S +ENTHRAL EH0 N - TH R AO1 L +ENTHRALLED EH0 N - TH R AO1 L D +ENTHUSE IH0 N - TH UW1 Z +ENTHUSED IH0 N - TH UW1 Z D +ENTHUSIASM IH0 N - TH UW1 - Z IY0 - AE2 - Z AH0 M +ENTHUSIASMS IH0 N - TH UW1 - Z IY0 - AE2 - Z AH0 M Z +ENTHUSIAST EH0 N - TH UW1 - Z IY0 - AE2 S T +ENTHUSIASTIC IH0 N - TH UW2 - Z IY0 - AE1 - S T IH0 K +ENTHUSIASTICALLY IH0 N - TH UW2 - Z IY0 - AE1 - S T IH0 K - L IY0 +ENTHUSIASTS EH0 N - TH UW1 - Z IY0 - AE2 S T S +ENTHUSIASTS(2) EH0 N - TH UW1 - Z IY0 - AE2 S S +ENTHUSIASTS(3) EH0 N - TH UW1 - Z IY0 - AE2 S +ENTICE IH0 N - T AY1 S +ENTICED IH0 N - T AY1 S T +ENTICEMENT IH0 N - T AY1 S - M AH0 N T +ENTICEMENTS IH0 N - T AY1 S - M AH0 N T S +ENTICING EH0 N - T AY1 - S IH0 NG +ENTIN EH1 N - T IH0 N +ENTIRE IH0 N - T AY1 - ER0 +ENTIRELY IH0 N - T AY1 - ER0 - L IY0 +ENTIRETY IH0 N - T AY1 - ER0 - T IY0 +ENTITIES EH1 N - T IH0 - T IY0 Z +ENTITIES' EH1 N - T IH0 - T IY0 Z +ENTITLE EH0 N - T AY1 - T AH0 L +ENTITLE(2) IH0 N - T AY1 - T AH0 L +ENTITLED EH0 N - T AY1 - T AH0 L D +ENTITLEMENT EH0 N - T AY1 - T AH0 L - M AH0 N T +ENTITLEMENTS EH0 N - T AY1 - T AH0 L - M AH0 N T S +ENTITLES EH0 N - T AY1 - T AH0 L Z +ENTITLING EH0 N - T AY1 - T AH0 L - IH0 NG +ENTITLING(2) EH0 N - T AY1 T - L IH0 NG +ENTITY EH1 N - T AH0 - T IY0 +ENTITY'S EH1 N - T AH0 - T IY0 Z +ENTITY(2) EH1 N - T IH0 - T IY0 +ENTLER EH1 N T - L ER0 +ENTOFFEN EH1 N - T AH0 - F AH0 N +ENTOFFEN'S EH1 N - T AH0 - F AH0 N Z +ENTOMB EH0 N - T UW1 M +ENTOMBED EH0 N - T UW1 M D +ENTOMBMENT IH0 N - T UW1 M - M AH0 N T +ENTOMOLOGIST EH2 N - T AH0 - M AA1 - L AH0 - JH AH0 S T +ENTOMOLOGISTS EH2 N - T AH0 - M AA1 - L AH0 - JH AH0 S T S +ENTOMOLOGISTS(2) EH2 N - T AH0 - M AA1 - L AH0 - JH AH0 S S +ENTOMOLOGISTS(3) EH2 N - T AH0 - M AA1 - L AH0 - JH AH0 S +ENTOMOLOGY EH2 N - T AH0 - M AA1 - L AH0 - JH IY0 +ENTOURAGE AA2 N - T UH0 - R AA1 ZH +ENTOURAGE(2) AA2 N - T ER0 - AA1 ZH +ENTRAIL EH1 N - T R AH0 L +ENTRAILS EH1 N - T R AH0 L Z +ENTRANCE EH1 N - T R AH0 N S +ENTRANCED IH0 N - T R AE1 N S T +ENTRANCES EH1 N - T R AH0 N - S AH0 Z +ENTRANT EH1 N - T R AH0 N T +ENTRANTS EH1 N - T R AH0 N T S +ENTRAP IH0 N - T R AE1 P +ENTRAPMENT IH0 N - T R AE1 P - M AH0 N T +ENTRAPPED IH0 N - T R AE1 P T +ENTRE AA1 N - T R EY0 +ENTRE(2) AA1 N - T R AH0 +ENTREATIES EH0 N - T R IY1 - T IY0 Z +ENTREATY EH0 N - T R IY1 - T IY0 +ENTREE AA1 N - T R EY2 +ENTREES AA1 N - T R EY2 Z +ENTREGROWTH EH1 N - T R AH0 - G R OW0 TH +ENTREKIN EH1 N - T R IH0 - K IH0 N +ENTRENCH EH0 N - T R EH1 N CH +ENTRENCHED EH0 N - T R EH1 N CH T +ENTRENCHED(2) IH0 N - T R EH1 N CH T +ENTRENCHES EH0 N - T R EH1 N - CH IH0 Z +ENTRENCHING EH0 N - T R EH1 N - CH IH0 NG +ENTRENCHMENT EH0 N - T R EH1 N CH - M AH0 N T +ENTREPRENEUR AA2 N - T R AH0 - P R AH0 - N ER1 +ENTREPRENEUR'S AA2 N - T R AH0 - P R AH0 - N ER1 Z +ENTREPRENEUR(2) AA2 N - T R AH0 - P R AH0 - N UH1 R +ENTREPRENEURIAL AA2 N - T R AH0 - P R AH0 - N ER1 - IY0 - AH0 L +ENTREPRENEURIALISM EH2 N - T R AH0 - P R AH0 - N UW2 - R IY1 - AH0 - L IH2 - Z AH0 M +ENTREPRENEURS AA2 N - T R AH0 - P R AH0 - N ER1 Z +ENTREPRENEURSHIP AA2 N - T R AH0 - P R AH0 - N ER1 - SH IH0 P +ENTRIES EH1 N - T R IY0 Z +ENTRIKIN EH1 N - T R IH0 - K IH0 N +ENTRINGER EH1 N - T ER0 - IH0 - NG ER0 +ENTROPY EH1 N - T R AH0 - P IY0 +ENTRUST EH0 N - T R AH1 S T +ENTRUSTED EH0 N - T R AH1 - S T IH0 D +ENTRUSTING EH0 N - T R AH1 - S T IH0 NG +ENTRY EH1 N - T R IY0 +ENTRYWAY EH1 N - T R IY0 - W EY0 +ENTSMINGER EH1 N T - S AH0 - M IH0 - NG ER0 +ENTWINE EH0 N - T W AY1 N +ENTWINED EH0 N - T W AY1 N D +ENTWISLE EH1 N - T W AY0 - AH0 L +ENTWISTLE IH0 N T - W IH1 - S AH0 L +ENTZ EH1 N T S +ENTZMINGER EH1 N T S - M IH0 - NG ER0 +ENUMERATE IH0 - N UW1 - M ER0 - EY2 T +ENUMERATED IH0 - N UW1 - M ER0 - EY2 - T IH0 D +ENUMERATES IH0 - N UW1 - M ER0 - EY2 T S +ENUMERATION IH0 - N UW2 - M ER0 - EY1 - SH AH0 N +ENUNCIATE IH0 - N AH1 N - S IY0 - EY2 T +ENUNCIATE(2) IY0 - N AH1 N - S IY0 - EY2 T +ENUNCIATED IH0 - N AH1 N - S IY0 - EY2 - T IH0 D +ENUNCIATING IH0 - N AH1 N - S IY0 - EY2 - T IH0 NG +ENVELOP IH0 N - V EH1 - L AH0 P +ENVELOPE EH1 N - V AH0 - L OW2 P +ENVELOPED EH0 N - V EH1 - L AH0 P T +ENVELOPES EH1 N - V AH0 - L OW2 P S +ENVELOPING IH0 N - V EH1 - L AH0 - P IH0 NG +ENVELOPS IH0 N - V EH1 - L AH0 P S +ENVIABLE EH1 N - V IY0 - AH0 - B AH0 L +ENVIED EH1 N - V IY0 D +ENVIOUS EH1 N - V IY0 - AH0 S +ENVIOUSLY EH1 N - V IY0 - AH0 S - L IY0 +ENVIRODYNE EH0 N - V AY1 - R OW0 - D AY2 N +ENVIRONIC EH2 N - V AY0 - R AO1 - N IH0 K +ENVIRONICS EH2 N - V AY0 - R AO1 - N IH0 K S +ENVIRONMENT IH0 N - V AY1 - R AH0 N - M AH0 N T +ENVIRONMENT'S IH0 N - V AY1 - R AH0 N - M AH0 N T S +ENVIRONMENTAL IH0 N - V AY2 - R AH0 N - M EH1 N - T AH0 L +ENVIRONMENTAL(2) IH0 N - V AY2 - R AH0 N - M EH1 - N AH0 L +ENVIRONMENTALISM EH0 N - V AY1 - R AH0 N - M EH2 N - T AH0 - L IH2 - Z AH0 M +ENVIRONMENTALISM(2) EH0 N - V AY1 - R AH0 N - M EH2 - N AH0 - L IH2 - Z AH0 M +ENVIRONMENTALIST IH0 N - V AY2 - R AH0 N - M EH1 N - T AH0 - L IH0 S T +ENVIRONMENTALIST(2) IH0 N - V AY2 - R AH0 N - M EH1 - N AH0 - L IH0 S T +ENVIRONMENTALISTS EH0 N - V AY1 - R AH0 N - M EH2 N - T AH0 - L IH0 S T S +ENVIRONMENTALISTS' IH0 N - V AY2 - R AH0 N - M EH1 N - T AH0 - L IH0 S T S +ENVIRONMENTALISTS'(2) EH0 N - V AY2 - R AH0 N - M EH1 - N AH0 - L IH0 S T S +ENVIRONMENTALISTS(2) EH0 N - V AY1 - R AH0 N - M EH2 N - T AH0 - L IH0 S S +ENVIRONMENTALISTS(3) EH0 N - V AY1 - R AH0 N - M EH2 - N AH0 - L IH0 S T S +ENVIRONMENTALISTS(4) EH0 N - V AY1 - R AH0 N - M EH2 - N AH0 - L IH0 S S +ENVIRONMENTALISTS(5) EH0 N - V AY1 - R AH0 N - M EH2 N - T AH0 - L IH0 S +ENVIRONMENTALISTS(6) EH0 N - V AY1 - R AH0 N - M EH2 - N AH0 - L IH0 S +ENVIRONMENTALLY IH0 N - V AY2 - R AH0 N - M EH1 N - T AH0 - L IY0 +ENVIRONMENTALLY(2) IH0 N - V AY2 - R AH0 N - M EH1 - N AH0 - L IY0 +ENVIRONMENTS IH0 N - V AY1 - R AH0 N - M AH0 N T S +ENVIRONS IH0 N - V AY1 - R AH0 N Z +ENVIROPACT IH0 N - V AY1 - R OW0 - P AE2 K T +ENVIROSAFE IH0 N - V AY1 - R OW0 - S EY2 F +ENVIROTEST IH2 N - V AY1 - R OW0 - T EH2 S T +ENVISAGE EH0 N - V IH1 - Z IH0 JH +ENVISAGED EH0 N - V IH1 - Z IH0 JH D +ENVISAGES EH0 N - V IH1 - Z IH0 - JH IH0 Z +ENVISION EH0 N - V IH1 - ZH AH0 N +ENVISIONED EH0 N - V IH1 - ZH AH0 N D +ENVISIONING EH0 N - V IH1 - ZH AH0 N - IH0 NG +ENVISIONS EH0 N - V IH1 - ZH AH0 N Z +ENVOS EH1 N - V OW0 S +ENVOY EH1 N - V OY0 +ENVOY(2) AA1 N - V OY0 +ENVOYS EH1 N - V OY0 Z +ENVOYS(2) AA1 N - V OY0 Z +ENVY EH1 N - V IY0 +ENWRIGHT IH0 N W - R AY1 T +ENYART EH1 - N Y AA0 R T +ENYEART EH1 - N Y ER0 T +ENZ EH1 N Z +ENZO EH1 N - Z OW0 +ENZON EH1 N - Z AA0 N +ENZOR EH1 N - Z ER0 +ENZYMATIC EH2 N - Z AY0 - M AE1 - T IH0 K +ENZYME EH1 N - Z AY2 M +ENZYMES EH1 N - Z AY2 M Z +EOCENE IY1 - AH0 - S IY2 N +EOFF EY1 - AO0 F +EOHIPPUS IY2 - OW0 - HH IH1 - P AH0 S +EOLANDE EY2 - OW0 - L AA1 N - D IY0 +EON IY1 - AH0 N +EON(2) IY1 - AA0 N +EONS IY1 - AH0 N Z +EOS IY1 - AA0 S +EOS'S IY1 - AA0 - S AH0 Z +EPCOT EH1 P - K AA0 T +EPEDA EH0 - P EY1 - D AH0 +EPEDA'S EH0 - P EY1 - D AH0 Z +EPES IY1 P S +EPHEDRINE IH0 - F EH1 D - R IH0 N +EPHEMERAL IH0 - F EH1 - M ER0 - AH0 L +EPHLIN EH1 - F L IH0 N +EPHRAIM IY1 - F R AH0 M +EPHRON EH1 - F R AH0 N +EPIC EH1 - P IH0 K +EPIC'S EH1 - P IH0 K S +EPICENTER EH1 - P AH0 - S EH2 N - T ER0 +EPICS EH1 - P IH0 K S +EPICURE EH1 - P IH0 - K Y UH2 R +EPICUREAN EH2 - P AH0 - K Y UH0 - R IY1 - AH0 N +EPICUREAN(2) EH2 - P AH0 - K Y UH1 - R IY0 - AH0 N +EPIDEMIC EH2 - P AH0 - D EH1 - M IH0 K +EPIDEMIC(2) EH2 - P IH0 - D EH1 - M IH0 K +EPIDEMICS EH2 - P AH0 - D EH1 - M IH0 K S +EPIDEMIOLOGICAL EH2 - P AH0 - D IY0 - M IY0 - AH0 - L AA1 - JH IH0 - K AH0 L +EPIDEMIOLOGIST EH2 - P AH0 - D IY0 - M IY0 - AA1 - L AH0 - JH IH0 S T +EPIDEMIOLOGISTS EH2 - P AH0 - D IY0 - M IY0 - AA1 - L AH0 - JH IH0 S T S +EPIDEMIOLOGISTS(2) EH2 - P AH0 - D IY0 - M IY0 - AA1 - L AH0 - JH IH0 S S +EPIDEMIOLOGISTS(3) EH2 - P AH0 - D IY0 - M IY0 - AA1 - L AH0 - JH IH0 S +EPIDEMIOLOGY EH2 - P AH0 - D EH2 - M IY0 - AA1 - L AH0 - JH IY0 +EPIDERMAL EH2 - P AH0 - D ER1 - M AH0 L +EPIDERMIS EH2 - P AH0 - D ER1 - M AH0 S +EPIDURAL EH2 - P AH0 - D ER1 - AH0 L +EPIGENETIC EH2 - P AH0 - JH AH0 - N EH1 - T IH0 K +EPIGRAM EH1 - P AH0 - G R AE2 M +EPIGRAPHIC EH2 - P AH0 - G R AE1 - F IH0 K +EPILEPSIES EH1 - P AH0 - L EH2 P - S IY0 Z +EPILEPSY EH1 - P AH0 - L EH2 P - S IY0 +EPILEPTIC EH2 - P AH0 - L EH1 P - T IH0 K +EPILOGUE EH1 - P AH0 - L AO2 G +EPIPHANY IH0 - P IH1 - F AH0 - N IY0 +EPISCOPAL IH0 - P IH1 S - K AH0 - P AH0 L +EPISCOPALIAN IH0 - P IH2 S - K AH0 - P EY1 - L IY0 - AH0 N +EPISCOPALIAN(2) IH0 - P IH2 S - K AH0 - P EY1 - L Y AH0 N +EPISCOPALIANS IH0 - P IH2 S - K AH0 - P EY1 - L IY0 - AH0 N Z +EPISCOPALIANS(2) IH0 - P IH2 S - K AH0 - P EY1 - L Y AH0 N Z +EPISCOPO IH0 - P IH0 S - K OW1 - P OW0 +EPISODE EH1 - P AH0 - S OW2 D +EPISODE(2) EH1 - P IH0 - S OW2 D +EPISODES EH1 - P AH0 - S OW2 D Z +EPISODES(2) EH1 - P IH0 - S OW2 D Z +EPISODIC EH2 - P AH0 - S AA1 - D IH0 K +EPISTEME EH1 - P IH0 - S T IY2 M +EPISTEMOLOGY IH0 - P IH2 - S T AH0 - M AA1 - L AH0 - JH IY0 +EPISTLE IH0 - P IH1 - S AH0 L +EPISTOLARY IH0 - P IH1 - S T AH0 - L EH2 - R IY0 +EPITAPH EH1 - P AH0 - T AE2 F +EPITAPHS EH1 - P AH0 - T AE2 F S +EPITHELIAL EH0 - P IH0 - TH EH1 - L Y AH0 L +EPITHET EH1 - P AH0 - TH EH2 T +EPITHETS EH1 - P AH0 - TH EH2 T S +EPITOME IH0 - P IH1 - T AH0 - M IY0 +EPITOMIZE IH0 - P IH1 - T AH0 - M AY2 Z +EPITOMIZED IH0 - P IH1 - T AH0 - M AY2 Z D +EPITOMIZES IH0 - P IH1 - T AH0 - M AY2 - Z IH0 Z +EPITOPE EH1 - P IH0 - T OW2 P +EPLER EH1 P - L ER0 +EPLEY EH1 P - L IY0 +EPLIN EH1 P - L IH0 N +EPLING EH1 - P L IH0 NG +EPOCH EH1 - P AH0 K +EPOCH(2) IY1 - P AH0 K +EPOCHAL EH1 - P AH0 - K AH0 L +EPOCHS EH1 - P AH0 K S +EPOCHS(2) IY1 - P AH0 K S +EPOGEN EH1 - P AH0 - JH EH0 N +EPOXY IH0 - P AA1 K - S IY0 +EPP EH1 P +EPPARD EH1 - P ER0 D +EPPEL EH1 - P AH0 L +EPPERLY EH1 - P ER0 - L IY0 +EPPERS EH1 - P ER0 Z +EPPERSON EH1 - P ER0 - S AH0 N +EPPES EH1 P S +EPPICH EH1 - P IH0 CH +EPPING EH1 - P IH0 NG +EPPINGER EH1 - P IH0 - NG ER0 +EPPLE EH1 - P AH0 L +EPPLER EH1 P - L ER0 +EPPLEY EH1 P - L IY0 +EPPNER EH1 P - N ER0 +EPPOLITO EH0 - P OW0 - L IY1 - T OW0 +EPPS EH1 P S +EPROM EH1 - P R AH0 M +EPROMS EH1 - P R AH0 M Z +EPSCO EH1 P - S K OW0 +EPSILON EH1 P - S AH0 - L AA2 N +EPSOM EH1 P - S AH0 M +EPSOMITE EH1 P - S AH0 - M AY2 T +EPSON EH1 P - S AH0 N +EPSTEIN EH1 P - S T IY2 N +EPSTEIN(2) EH1 P - S T AY2 N +EPTING EH1 P - T IH0 NG +EQUABLE EH1 - K W AH0 - B AH0 L +EQUAL IY1 - K W AH0 L +EQUALED IY1 - K W AH0 L D +EQUALING IY1 - K W AH0 L - IH0 NG +EQUALITY IH0 - K W AA1 - L AH0 - T IY0 +EQUALIZATION IY2 - K W AH0 - L IH0 - Z EY1 - SH AH0 N +EQUALIZE IY1 - K W AH0 - L AY2 Z +EQUALIZED IY1 - K W AH0 - L AY2 Z D +EQUALIZER IY1 - K W AH0 - L AY2 - Z ER0 +EQUALIZING IY1 - K W AH0 - L AY2 - Z IH0 NG +EQUALLY IY1 - K W AH0 - L IY0 +EQUALS IY1 - K W AH0 L Z +EQUANIMITY IY2 - K W AH0 - N IH1 - M IH0 - T IY0 +EQUATE IH0 - K W EY1 T +EQUATED IH0 - K W EY1 - T IH0 D +EQUATES IH0 - K W EY1 T S +EQUATING IH0 - K W EY1 - T IH0 NG +EQUATION IH0 - K W EY1 - ZH AH0 N +EQUATIONS IH0 - K W EY1 - ZH AH0 N Z +EQUATOR IH0 - K W EY1 - T ER0 +EQUATORIAL IY2 - K W AH0 - T AO1 - R IY0 - AH0 L +EQUESTRIAN IH0 - K W EH1 S - T R IY0 - AH0 N +EQUIANGULAR IY2 - K W AH0 - AE1 NG - G Y AH0 - L ER0 +EQUIBANK EH1 - K W AH0 - B AE2 NG K +EQUICOR EH1 - K W IH2 - K AO2 R +EQUIFAX EH1 - K W IH0 - F AE2 K S +EQUILIBRIA IY2 - K W AH0 - L IH1 - B R IY0 - AH0 +EQUILIBRIUM IY2 - K W AH0 - L IH1 - B R IY0 - AH0 M +EQUILINK EH1 - K W AH0 L - IH2 NG K +EQUIMARK EH1 - K W IH0 - M AA2 R K +EQUINE IY1 - K W AY2 N +EQUINOX IY1 - K W AH0 - N AA2 K S +EQUION EH1 - K W IY0 - AA0 N +EQUIP IH0 - K W IH1 P +EQUIPMENT IH0 - K W IH1 P - M AH0 N T +EQUIPMENT'S IH0 - K W IH1 P - M AH0 N T S +EQUIPMENTS IH0 - K W IH1 P - M AH0 N T S +EQUIPPED IH0 - K W IH1 P T +EQUIPPING IH0 - K W IH1 - P IH0 NG +EQUIPS IH0 - K W IH1 P S +EQUITABLE EH1 - K W AH0 - T AH0 - B AH0 L +EQUITABLE'S EH1 - K W AH0 - T AH0 - B AH0 L Z +EQUITABLE(2) EH1 - K W IH0 - T AH0 - B AH0 L +EQUITABLY EH1 - K W IH0 - T AH0 - B L IY0 +EQUITAS EH1 - K W AH0 - T AH0 S +EQUITATION EH2 - K W AH0 - T EY1 - SH AH0 N +EQUITEC EH1 - K W AH0 - T EH2 K +EQUITEX EH1 - K W AH0 - T EH2 K S +EQUITICORP EH1 - K W IH0 - T IY0 - K AO2 R P +EQUITIES EH1 - K W AH0 - T IY0 Z +EQUITIES' EH1 - K W AH0 - T IY0 Z +EQUITY EH1 - K W AH0 - T IY0 +EQUITY'S EH1 - K W AH0 - T IY0 Z +EQUIVALENCE IH0 - K W IH1 - V AH0 - L AH0 N S +EQUIVALENCY IH0 - K W IH1 - V AH0 - L AH0 N - S IY0 +EQUIVALENT IH0 - K W IH1 - V AH0 - L AH0 N T +EQUIVALENTS IH0 - K W IH1 - V AH0 - L AH0 N T S +EQUIVOCAL IH0 - K W IH1 - V AH0 - K AH0 L +EQUIVOCATE IH0 - K W IH1 - V AH0 - K EY2 T +EQUIVOCATING IH0 - K W IH1 - V AH0 - K EY2 - T IH0 NG +EQUIVOCATION IH0 - K W IH0 - V AH0 - K EY1 - SH AH0 N +ER ER0 +ERA EH1 - R AH0 +ERA'S EH1 - R AH0 Z +ERA'S(2) IH1 - R AH0 Z +ERA(2) IH1 - R AH0 +ERADICATE IH0 - R AE1 - D AH0 - K EY2 T +ERADICATED IH0 - R AE1 - D AH0 - K EY2 - T IH0 D +ERADICATING IH0 - R AE1 - D AH0 - K EY2 - T IH0 NG +ERADICATION IH0 - R AE2 - D AH0 - K EY1 - SH AH0 N +ERAKAT EH0 - R AA1 - K AH0 T +ERALP EH1 - R AO0 L P +ERAMO EH0 - R AA1 - M OW0 +ERANTHE EH1 - R AH0 N TH +ERANY AH0 - R EY1 - N IY0 +ERAS IH1 - R AH0 Z +ERASABLE IH0 - R EY1 - S AH0 - B AH0 L +ERASABLE(2) IY1 - R EY0 - S AH0 - B AH0 L +ERASE IH0 - R EY1 S +ERASE(2) IY0 - 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R EH1 K - SH AH0 N +ERECTIONS IH0 - R EH1 K - SH AH0 N Z +ERECTOR IH0 - R EH1 K - T ER0 +ERECTS IH0 - R EH1 K T S +ERENA ER0 - EH1 - N AH0 +ERENSEL EH1 - R AH0 N - S EH0 L +ERGLE ER1 - G AH0 L +ERGO ER1 - G OW0 +ERGONOMIC ER2 - G AH0 - N AA1 - M IH0 K +ERGONOMICS ER2 - G AH0 - N AA1 - M IH0 K S +ERGOT ER1 - G AH0 T +ERGOT'S ER1 - G AH0 T S +ERGOTISM ER1 - G AH0 - T IH2 - Z AH0 M +ERGOTS ER1 - G AH0 T S +ERHARD EH1 R - HH AA0 R D +ERHARDT ER1 - HH AA0 R T +ERHART ER1 - HH AA0 R T +ERIC EH1 - R IH0 K +ERIC'S EH1 - R IH0 K S +ERICA EH1 - R IH0 - K AH0 +ERICH EH1 - R IH0 K +ERICHSEN EH1 - R IH0 K - S AH0 N +ERICK EH1 - R IH0 K +ERICKA EH1 - R IH0 - K AH0 +ERICKSEN EH1 - R IH0 K - S AH0 N +ERICKSON EH1 - R IH0 K - S AH0 N +ERICSON EH1 - R IH0 K - S AH0 N +ERICSSON EH1 - R IH0 K - S AH0 N +ERICSSON'S EH1 - R IH0 K - S AH0 N Z +ERIDANIA EH2 - R IH0 - D AE1 - N IY0 - AH0 +ERIE IH1 - R IY0 +ERIK EH1 - R IH0 K +ERIK'S EH1 - R IH0 K S +ERIKA EH1 - R IH0 - K AH0 +ERIKSEN EH1 - R IH0 K - S AH0 N +ERIKSON EH1 - R IH0 K - S AH0 N +ERIKSON'S EH1 - R IH0 K - S AH0 N Z +ERIKSSON EH1 - R IH0 K - S AH0 N +ERIN EH1 - R IH0 N +ERINA ER0 - IY1 - N AH0 +ERION EH0 - R IY0 - AO1 N +ERISA EH0 - R IY1 - S AH0 +ERISMAN EH1 - R IH0 S - M AH0 N +ERITREA EH2 - R IH0 - T R IY1 - AH0 +ERITREA(2) EH2 - R IH0 - T R EY1 - AH0 +ERITREAN EH2 - R IH0 - T R IY1 - AH0 N +ERITREAN(2) EH2 - R IH0 - T R EY1 - AH0 N +ERITREANS EH1 - R IH0 - T R IY2 N Z +ERITREANS(2) EH2 - R IH0 - T R EY1 - AH0 N Z +ERK ER1 K +ERKER ER1 - K ER0 +ERKKILA ER1 - K IH0 - L AH0 +ERL ER1 L +ERLACH ER1 - L AA2 K +ERLAND ER1 - L AH0 N D +ERLANDSON ER1 - L AH0 N D - S AH0 N +ERLANGEN ER0 - L AE1 NG - G AH0 N +ERLANGER EH1 R - L AE0 - NG ER0 +ERLANGER(2) EH1 R - L AE0 NG - G ER0 +ERLE AO1 - R AH0 L +ERLENE ER1 - L IY0 N +ERLER ER1 - L ER0 +ERLICH ER1 - L IH0 K +ERLICHMAN ER1 - L IH0 K - M AH0 N +ERLICHMAN(2) EH1 R - L IH0 K - M AH0 N +ERLICK ER1 - L IH0 K +ERLICK(2) EH1 R - L IH0 K +ERLINE ER1 - L AY0 N +ERLING ER1 - L IH0 NG +ERLY ER1 - L IY0 +ERMA ER1 - 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R OW1 - D IH0 NG +ERODING(2) IY0 - R OW1 - D IH0 NG +EROH EH1 - R OW0 +EROICA ER0 - OY1 - K AH0 +EROL EH1 - R AH0 L +EROL'S EH1 - R AH0 L Z +ERON IH1 - R AA0 N +EROS IH1 - R AA0 S +EROSION IH0 - R OW1 - ZH AH0 N +EROSIONAL IH0 - R OW1 - ZH AH0 - N AH0 L +EROSIVE IH0 - R OW1 - S IH0 V +EROTIC IH0 - R AA1 - T IH0 K +EROTICA IH0 - R AA1 - T IH0 - K AH0 +EROTICISM ER0 - AA1 - T IH0 - S IH2 - Z AH0 M +ERPELDING ER1 - P IH0 L - D IH0 NG +ERPS ER1 P S +ERR EH1 R +ERR(2) ER1 +ERRA EH1 - R AH0 +ERRAND EH1 - R AH0 N D +ERRANDS EH1 - R AH0 N D Z +ERRANT EH1 - R AH0 N T +ERRATIC IH0 - R AE1 - T IH0 K +ERRATICALLY EH0 - R AE1 - T IH0 K - L IY0 +ERRED EH1 R D +ERRETT EH1 - R IH0 T +ERRIA EH1 - R IY0 - AH0 +ERRICKSON EH1 - R IH0 K - S AH0 N +ERRICO ER0 - IY1 - K OW0 +ERRINGTON EH1 - R IH0 NG - T AH0 N +ERROL EH1 - R AH0 L +ERRONEOUS EH0 - R OW1 - N IY0 - AH0 S +ERRONEOUS(2) ER0 - OW1 - N IY0 - AH0 S +ERRONEOUSLY EH0 - R OW1 - N IY0 - AH0 S - L IY0 +ERROR EH1 - R ER0 +ERRORS EH1 - R ER0 Z +ERRS EH1 R Z +ERS ER1 Z +ERS(2) IY1 - AA1 - R EH1 S +ERSATZ EH1 R - S AA2 T S +ERSATZ(2) EH1 R - Z AA2 T S +ERSHAD ER1 - SH AE2 D +ERSHAD(2) ER1 - SH AA2 D +ERSKIN ER1 - S K IH0 N +ERSKINE ER1 - S K AY2 N +ERSTWHILE ER1 S T - W AY2 L +ERTE ER1 T +ERTE(2) ER1 - T EY0 +ERTEL ER1 - T AH0 L +ERTHA ER1 - DH AH0 +ERTL ER1 - T AH0 L +ERTLE ER1 - T AH0 L +ERTMAN ER1 T - M AH0 N +ERTZ ER1 T S +ERUDITE EH1 - R AH0 - D AY2 T +ERUDITION EH2 - R AH0 - D IH1 - SH AH0 N +ERUPT IH0 - R AH1 P T +ERUPT(2) IY1 - R AH0 P T +ERUPTED IH0 - R AH1 P - T AH0 D +ERUPTED(2) IY0 - R AH1 P - T IH0 D +ERUPTED(3) IH0 - R AH1 P - T IH0 D +ERUPTED(4) IY0 - R AH1 P - T AH0 D +ERUPTING IH0 - R AH1 P - T IH0 NG +ERUPTING(2) IY0 - R AH1 P - T IH0 NG +ERUPTION IH0 - R AH1 P - SH AH0 N +ERUPTION(2) IY0 - R AH1 P - SH AH0 N +ERUPTIONS IH0 - R AH1 P - SH AH0 N Z +ERUPTIONS(2) IY0 - R AH1 P - SH AH0 N Z +ERUPTIVE IH0 - R AH1 P - T IH0 V +ERUPTIVE(2) IY0 - R AH1 P - T IH0 V +ERUPTS IH0 - R AH1 P T S +ERUPTS(2) IY0 - R AH1 P T S +ERUPTS(3) IH0 - R AH1 P S +ERUPTS(4) IY0 - R AH1 P S +ERVEN ER1 - V AH0 N +ERVIN ER1 - V IH0 N +ERVING ER1 - V IH0 NG +ERWAY ER1 - W EY0 +ERWIN ER1 - W IH0 N +ERWINA ER0 - V AY1 - N AH0 +ERXLEBEN ER0 K - S L EH1 - B AH0 N +ERYTHROPOIETIN EH0 - R IH2 - TH R AH0 - P OY1 - T IH0 N +ES EH1 S +ESAREY EH1 - S ER0 - IY0 +ESAU IY1 - S AO2 +ESBENSHADE EH1 S - B IH0 N - SH AH0 D +ESBENSHADE(2) EH1 S - B AH0 N - SH EY0 D +ESBER EH1 S - B ER0 +ESCADA EH2 - S K AA1 - D AH0 +ESCALANTE EH0 - S K AA0 - L AA1 N - T IY0 +ESCALATE EH1 - S K AH0 - L EY2 T +ESCALATED EH1 - S K AH0 - L EY2 - T IH0 D +ESCALATES EH1 - S K AH0 - L EY2 T S +ESCALATING EH1 - S K AH0 - L EY2 - T IH0 NG +ESCALATION EH2 - S K AH0 - L EY1 - SH AH0 N +ESCALATOR EH1 - S K AH0 - L EY2 - T ER0 +ESCALATORS EH1 - S K AH0 - L EY2 - T ER0 Z +ESCALERA EH0 - S K AA0 - L EH1 - R AH0 +ESCALONA EH0 - S K AA0 - L OW1 - N AH0 +ESCAMBIA EH2 - S K AE1 M - B IY0 - AH0 +ESCAMEZ EH0 - S K AA1 - M EH0 Z +ESCAMILLA EH0 - S K AA0 - M IH1 - L AH0 +ESCANABA EH2 - S K AH0 - N AA1 - B AH0 +ESCANDON IH0 - S K AE1 N - D AH0 N +ESCAPADE EH1 - S K AH0 - P EY2 D +ESCAPADES EH1 - S K AH0 - P EY2 D Z +ESCAPE IH0 - S K EY1 P +ESCAPED IH0 - S K EY1 P T +ESCAPEE IH0 - S K EY2 - P IY1 +ESCAPEES IH0 - S K EY2 - P IY1 Z +ESCAPEMENT IH0 - S K EY1 P - M AH0 N T +ESCAPES IH0 - S K EY1 P S +ESCAPING IH0 - S K EY1 - P IH0 NG +ESCAPISM IH0 - S K EY1 - P IH2 - Z AH0 M +ESCARCEGA EH0 - S K AA0 R - CH EH1 - G AH0 +ESCARENO EH0 - S K AA0 - R EH1 - N OW0 +ESCARPMENT EH0 - S K AA1 R P - M AH0 N T +ESCARPMENTS EH0 - S K AA1 R P - M AH0 N T S +ESCH EH1 SH +ESCHATOLOGICAL EH2 - S K AH0 - T AH0 - L AA1 - JH IH0 - K AH0 L +ESCHBACH EH1 SH - B AA2 K +ESCHE EH1 SH +ESCHEN EH1 - SH AH0 N +ESCHENBACH EH1 - SH IH0 N - B AA0 K +ESCHENBURG EH1 - SH AH0 N - B ER0 G +ESCHER EH1 - SH ER0 +ESCHETE EH1 - SH IY0 T +ESCHEW EH0 S - CH UW1 +ESCHEWED EH2 SH - UW1 D +ESCHEWED(2) EH2 - S K Y UW1 D +ESCHEWING EH2 SH - UW1 - IH0 NG +ESCHEWING(2) EH2 - S K Y UW1 - IH0 NG +ESCHEWS EH0 S - CH UW1 Z +ESCHMANN EH1 SH - M AH0 N +ESCO EH1 - S K OW0 +ESCOBAR EH1 - S K OW0 - B AA2 R +ESCOBAR'S EH1 - S K OW0 - B AA2 R Z +ESCOBAR'S(2) EH1 - S K AH0 - B AA2 R Z +ESCOBAR(2) EH1 - S K AH0 - B AA2 R +ESCOBEDO EH0 - S K OW0 - B EY1 - D OW0 +ESCOE IH0 - S K OW1 +ESCONDIDO EH2 - S K AA0 N - D IY1 - D OW0 +ESCORT EH0 - S K AO1 R T +ESCORT(2) EH1 - S K AO0 R T +ESCORTED EH0 - S K AO1 R - T IH0 D +ESCORTING EH1 - S K AO0 R - T IH0 NG +ESCORTS EH1 - S K AO0 R T S +ESCOTO EH0 - S K OW1 - T OW0 +ESCOTT EH1 - S K AH0 T +ESCROW EH0 - S K R OW1 +ESCROW(2) EH1 - S K R OW0 +ESCROWED EH1 - S K R OW0 D +ESCUDERO EH0 - S K UW0 - D EH1 - R OW0 +ESCUDO EH0 - S K UW1 - D OW0 +ESCUDOS EH0 - S K UW1 - D OW0 Z +ESCUE EY1 - S K Y UW0 +ESCULENT EH0 - S K UW1 - L AH0 N T +ESH EH1 SH +ESHAM EH1 - SH AH0 M +ESHBACH EH1 SH - B AA2 K +ESHBAUGH IH0 SH - B AO1 +ESHELMAN EH1 - SH AH0 L - M AH0 N +ESHLEMAN EH1 - SH AH0 L - M AH0 N +ESKANDARIAN EH2 - S K AH0 N - D EH1 - R IY0 - AH0 N +ESKELSON EH1 - S K IH0 L - S AH0 N +ESKENAZI EY0 - S K EY0 - N AA1 - Z IY0 +ESKENAZI(2) EH0 - S K AH0 - N AA1 - Z IY0 +ESKER EH1 - S K ER0 +ESKEW EH1 - S K Y UW0 +ESKEY EH1 S - K IY0 +ESKIMO EH1 - S K AH0 - M OW2 +ESKIMOS EH1 - S K AH0 - M OW2 Z +ESKIN IH0 - S K IH1 N +ESKRIDGE EH1 - S K R IH2 JH +ESLER EH1 - S AH0 - L ER0 +ESLER(2) EH1 S - L ER0 +ESLICK EH1 - S L IH0 K +ESLINGER EH1 - S AH0 - L IH0 - NG ER0 +ESLINGER(2) EH1 - S L IH0 - NG ER0 +ESMARK EH1 S - M AA2 R K +ESME EH1 Z M +ESMERELDA EH0 S - M ER0 - EH1 L - D AH0 +ESMINE EH1 Z - M AH0 N +ESMOND EH1 Z - M AH0 N D +ESOPHAGUS IH0 - S AA1 - F AH0 - G AH0 S +ESOTERIC EH2 - S AH0 - T EH1 - R IH0 K +ESOTERIC(2) EH2 - S OW0 - T EH1 - R IH0 K +ESPADA EY0 - S P AA1 - D AH0 +ESPALIER EH0 - S P AE1 L - Y ER0 +ESPANA EH0 - S P AE1 - N Y AH0 +ESPANOL EH2 - S P AA0 N - Y OW1 L +ESPANOLA EH2 - S P AH0 - N OW1 - L AH0 +ESPARZA EH0 - S P AA1 R - Z AH0 +ESPE EH1 S P +ESPECIALLY AH0 - S P EH1 SH - L IY0 +ESPECIALLY(2) AH0 - S P EH1 - SH AH0 - L IY0 +ESPECTADOR EH0 - S P EH2 K - T AH0 - D AO1 R +ESPEJO EY0 - S P EY1 - Y OW0 +ESPELAND EH1 - S P IH0 - L AH0 N D +ESPENSCHIED EH1 - S P IH0 N - SH IY0 D +ESPENSHADE EH1 - S P IH0 N - SH AH0 D +ESPENSHADE(2) EH1 - S P IH0 N - SH EY0 D +ESPER EH1 - S P ER0 +ESPERANTO EH2 - S P ER0 - AE1 N - T OW0 +ESPERANTO'S EH2 - S P ER0 - AE1 N - T OW0 Z +ESPESETH EH1 - S P IH0 - S IH0 TH +ESPEY EH1 - S P IY0 +ESPINAL EY0 - S P IY1 - N AH0 L +ESPINO EY0 - S P IY1 - N OW0 +ESPINOLA EH0 - S P IY0 - N OW1 - L AH0 +ESPINOSA EH0 - S P IH0 - N OW1 - Z AH0 +ESPINOZA EY0 - S P IY0 - N OW1 - Z AH0 +ESPIONAGE EH1 - S P IY0 - AH0 - N AA0 JH +ESPIRITO EH2 - S P IH0 - R IY1 - T OW0 +ESPIRITO(2) EH2 - S P IH1 - R IH0 - T OW0 +ESPIRITU EH0 - S P IH0 - R IY1 - CH UW0 +ESPITIA EH0 - S P IY1 - SH AH0 +ESPLANADE EH2 S - P L AH0 - N AA1 D +ESPLIN EH1 - S P L IH0 N +ESPOSITO EH0 - S P AH0 - Z IY1 - T OW0 +ESPOUSE IH0 - S P AW1 Z +ESPOUSE(2) IH0 - S P AW1 S +ESPOUSED IH0 - S P AW1 Z D +ESPOUSED(2) IH0 - S P AW1 S T +ESPOUSES IH0 - S P AW1 - Z IH0 Z +ESPOUSES(2) IH0 - S P AW1 - S IH0 Z +ESPOUSING IH0 - S P AW1 - Z IH0 NG +ESPOUSING(2) IH0 - S P AW1 - S IH0 NG +ESPRESSO EH2 - S P R EH1 - S OW0 +ESPRIT EH0 - S P R IY1 +ESPRIT'S EH0 - S P R IY1 Z +ESPY EH1 - S P IY0 +ESPY'S EH1 - S P IY0 Z +ESQUE EH1 S K +ESQUEDA EH0 - S K W EY1 - D AH0 +ESQUER IH0 - S K ER1 +ESQUIBEL EY0 S K - W IY0 - B EH1 L +ESQUIRE EH1 - S K W AY2 R +ESQUIRE'S EH1 - S K W AY2 R Z +ESQUIVEL EY0 S K - W IY0 - V EH1 L +ESREY EH1 - S R IY0 +ESS EH1 S +ESSA EH1 - S AH0 +ESSARY EH1 - S EH0 - R IY0 +ESSAY EH0 - S EY1 +ESSAY(2) EH1 - S EY2 +ESSAYIST EH1 - S EY2 - IH0 S T +ESSAYS EH0 - S EY1 Z +ESSAYS(2) EH1 - S EY2 Z +ESSE EH1 S +ESSELMAN EH1 - S AH0 L - M AH0 N +ESSELTE EH0 - S EH1 L - T IY0 +ESSEN EH1 - S AH0 N +ESSENBURG EH1 - S AH0 N - B ER0 G +ESSENCE EH1 - S AH0 N S +ESSENTIAL IH0 - S EH1 N - SH AH0 L +ESSENTIAL(2) IY0 - S EH1 N - SH AH0 L +ESSENTIAL(3) AH0 - S EH1 N - CH AH0 L +ESSENTIAL(4) IY0 - S EH1 N - CH AH0 L +ESSENTIALLY IH0 - S EH1 N - SH AH0 - L IY0 +ESSENTIALLY(2) IY0 - S EH1 N - SH AH0 - L IY0 +ESSENTIALS EH0 - S EH1 N - CH AH0 L Z +ESSENTIALS(2) IY0 - S EH1 N - CH AH0 L Z +ESSENTIALS(3) EH0 - S EH1 N - SH AH0 L Z +ESSENTIALS(4) IY0 - S EH1 N - SH AH0 L Z +ESSER EH1 - S ER0 +ESSES EH1 - S IH0 Z +ESSES(2) EH1 - S IY0 Z +ESSEX EH1 - S IH0 K S +ESSEX'S EH1 - S IH0 K - S IH0 Z +ESSICK EH1 - S IH0 K +ESSIE EH1 - S IY0 +ESSIG EH1 - S IH0 G +ESSLINGER EH1 - S AH0 - L IH0 - NG ER0 +ESSLINGER(2) EH1 - S L IH0 - NG ER0 +ESSMAN EH1 S - M AH0 N +ESSNER EH1 S - N ER0 +ESSO EH1 - S OW0 +ESSON EH1 - S AH0 N +EST AH0 - S T EY1 T +ESTA EH1 - S T AH0 +ESTABLISH IH0 - S T AE1 - B L IH0 SH +ESTABLISH(2) IY0 - S T AE1 - B L IH0 SH +ESTABLISHED IH0 - S T AE1 - B L IH0 SH T +ESTABLISHED(2) IY0 - S T AE1 - B L IH0 SH T +ESTABLISHES IH0 - S T AE1 - B L IH0 - SH IH0 Z +ESTABLISHES(2) IY0 - S T AE1 - B L IH0 - SH IH0 Z +ESTABLISHING IH0 - S T AE1 - B L IH0 - SH IH0 NG +ESTABLISHING(2) IY0 - S T AE1 - B L IH0 - SH IH0 NG +ESTABLISHMENT IH0 - S T AE1 - B L IH0 SH - M AH0 N T +ESTABLISHMENT'S EH0 - S T AE1 - B L IH0 SH - M AH0 N T S +ESTABLISHMENT'S(2) IY0 - S T AE1 - B L IH0 SH - M AH0 N T S +ESTABLISHMENT(2) IY0 - S T AE1 - B L IH0 SH - M AH0 N T +ESTABLISHMENTS EH0 - S T AE1 - B L IH0 SH - M AH0 N T S +ESTABLISHMENTS(2) IY0 - S T AE1 - B L IH0 SH - M AH0 N T S +ESTABROOK EH1 - S T AH0 - B R UH2 K +ESTABROOKS EH1 - S T AH0 - B R UH0 K S +ESTAI EH1 - S T EY0 +ESTATE IH0 - S T EY1 T +ESTATE'S IH0 - S T EY1 T S +ESTATEHOOD IH0 - S T EY1 T - HH UH2 D +ESTATES IH0 - S T EY1 T S +ESTE EH1 S T +ESTEBAN EH1 - S T AH0 - B AA0 N +ESTEDAT EH1 - S T EH0 - D AE2 T +ESTEE EH1 - S T IY0 +ESTEEM AH0 - S T IY1 M +ESTEEM'S IH0 - S T IY1 M Z +ESTEEMED IH0 - S T IY1 M D +ESTEFAN EH1 - S T IH0 - F AA0 N +ESTEFAN(2) EH0 - S T EH1 - V AH0 N +ESTEL EH1 - S T AH0 L +ESTELL EH1 - S T AH0 L +ESTELLA EH0 - S T EH1 - L AH0 +ESTELLE EH0 - S T EH1 L +ESTENSON EH1 - S T IH0 N - S AH0 N +ESTEP EH1 - S T IH0 P +ESTEPP EH1 - S T IH0 P +ESTER EH1 - S T ER0 +ESTERLINE EH1 - S T ER0 - L AY2 N +ESTERLINE'S EH1 - S T ER0 - L AY2 N Z +ESTERLY EH1 - S T ER0 - L IY0 +ESTERS EH1 - S T ER0 Z +ESTES EH1 - S T IY0 Z +ESTEVE EH1 - S T IH0 V +ESTEVES EY0 - S T EY1 - V EH0 S +ESTEVEZ EY0 - S T EY1 - V EH0 Z +ESTEY EH1 - S T IY0 +ESTHER EH1 - S T ER0 +ESTILL EY0 - S T IY1 L +ESTIMABLE EH1 - S T AH0 - M AH0 - B AH0 L +ESTIMATE EH1 - S T AH0 - M AH0 T +ESTIMATE(2) EH1 - S T AH0 - M EY2 T +ESTIMATED EH1 - S T AH0 - M EY2 - T AH0 D +ESTIMATED(2) EH1 - S T AH0 - M EY2 - T IH0 D +ESTIMATES EH1 - S T AH0 - M AH0 T S +ESTIMATES(2) EH1 - S T AH0 - M EY2 T S +ESTIMATING EH1 - S T AH0 - M EY2 - T IH0 NG +ESTIMATION EH2 - S T AH0 - M EY1 - SH AH0 N +ESTIMATIONS EH2 - S T AH0 - M EY1 - SH AH0 N Z +ESTIMATOR EH0 - S T IH1 - M AH0 - T ER0 +ESTIMATOR(2) EH1 - S T IH0 - M EY2 - T ER0 +ESTIMATORS EH0 - S T IH1 - M AH0 - T ER0 Z +ESTIMATORS(2) EH1 - S T IH0 - M EY2 - T ER0 Z +ESTIS EH1 - S T IH0 S +ESTLE EH1 - S AH0 L +ESTOCK EH1 - S T AA0 K +ESTOK IH0 - S T AA1 K +ESTONIA EH0 - S T OW1 - N IY0 - AH0 +ESTONIAN EH0 - S T OW1 - N IY0 - AH0 N +ESTONIANS EH0 - S T OW1 - N IY0 - AH0 N Z +ESTRADA EH0 - S T R AA1 - D AH0 +ESTRANGE EH0 - S T R EY1 N JH +ESTRANGED EH0 - S T R EY1 N JH D +ESTRANGEMENT IH0 - S T R EY1 N JH - M AH0 N T +ESTRELLA EH2 - S T R EH1 - L AH0 +ESTRICH EH1 - S T R IH0 K +ESTRIDGE IH0 - S T R IH1 JH +ESTRIN EH1 - S T R IH0 N +ESTROGEN EH1 - S T R AH0 - JH AH0 N +ESTROGENS EH1 - S T R AH0 - JH IH0 N Z +ESTROUS EH1 - S T R AH0 S +ESTRUS EH1 - S T R AH0 S +ESTRUTH EH1 S - T R UW2 TH +ESTUARIES EH1 S - CH UW0 - EH2 - R IY0 Z +ESTUARY EH1 S - CH UW0 - EH2 - R IY0 +ESTY EH1 - S T IY0 +ESWORTHY EH1 S - W ER0 - DH IY0 +ESZTERHAS EH1 - S T ER0 - HH AA0 S +ET EH1 T +ETABLISSEMENTS EH2 - T AE0 - B L IH2 - S AH0 - M AA1 N T S +ETC EH2 T - S EH1 - T ER0 - AH0 +ETCETERA EH1 T - S EH1 - T ER0 - AH0 +ETCH EH1 CH +ETCHED EH1 CH T +ETCHES EH1 - CH IH0 Z +ETCHEVERRY EH1 - CH IH0 - V EH0 - R IY0 +ETCHING EH1 - CH IH0 NG +ETCHINGS EH1 - CH IH0 NG Z +ETCHISON EH1 - CH IH0 - S AH0 N +ETERNAL IH0 - T ER1 - N AH0 L +ETERNAL(2) IY0 - T ER1 - N AH0 L +ETERNALLY IH0 - T ER1 - N AH0 - L IY0 +ETERNALLY(2) IY0 - T ER1 - N AH0 - L IY0 +ETERNIT EH1 - T ER0 - N IH0 T +ETERNITY IH0 - T ER1 - N AH0 - T IY0 +ETERNITY(2) IY0 - T ER1 - N AH0 - T IY0 +ETESS EH2 - T EH1 S +ETHAN IY1 - TH AH0 N +ETHANE EH1 - TH EY2 N +ETHANOL EH1 - TH AH0 - N AO2 L +ETHEL EH1 - TH AH0 L +ETHELBERT EH1 - TH IH0 L - B ER0 T +ETHELDA IH0 - TH EH1 L - D AH0 +ETHELINDA EH0 - TH EH0 - L IY1 N - D AH0 +ETHELINE EH1 - TH IH0 - L AY2 N +ETHELJEAN EH1 - TH IH0 - L Y AH0 N +ETHELJEAN(2) EH2 - TH AH0 L - JH IY1 N +ETHELSON EH1 - TH IH0 L - S IH0 N +ETHELYN EH1 - TH IH0 - L IH0 N +ETHENE EH1 - TH IY2 N +ETHER IY1 - TH ER0 +ETHEREAL IH0 - TH IH1 - R IY0 - AH0 L +ETHEREDGE EH1 - TH ER0 - EH0 JH +ETHERIDGE EH1 - TH ER0 - IH2 JH +ETHERINGTON EH1 - DH ER0 - IH0 NG - T AH0 N +ETHERNET EH1 - TH ER0 - N EH2 T +ETHERS IY1 - TH ER0 Z +ETHERTON IH0 - TH ER1 - T AH0 N +ETHERTON(2) EH1 - TH ER0 - T AH0 N +ETHIC EH1 - TH IH0 K +ETHICAL EH1 - TH AH0 - K AH0 L +ETHICAL(2) EH1 - TH IH0 - K AH0 L +ETHICALLY EH1 - TH IH0 - K AH0 - L IY0 +ETHICALLY(2) EH1 - TH IH0 K - L IY0 +ETHICIST EH1 - TH IH0 - S IH0 S T +ETHICISTS EH1 - TH IH0 - S IH0 S T S +ETHICISTS(2) EH1 - TH IH0 - S IH0 S S +ETHICISTS(3) EH1 - TH IH0 - S IH0 S +ETHICON EH1 - TH IH0 - K AA2 N +ETHICS EH1 - TH IH0 K S +ETHIER EH1 - TH IY0 - ER0 +ETHINGTON EH1 - TH IH0 NG - T AH0 N +ETHIOPIA IY2 - TH IY0 - OW1 - P IY0 - AH0 +ETHIOPIA'S IY2 - TH IY0 - OW1 - P IY0 - AH0 Z +ETHIOPIAN IY2 - TH IY0 - OW1 - P IY0 - AH0 N +ETHIOPIANS IY2 - TH IY0 - OW1 - P IY0 - AH0 N Z +ETHNIC EH1 TH - N IH0 K +ETHNICAL EH1 TH - N IH0 - K AH0 L +ETHNICALLY EH1 TH - N IH0 K - L IY0 +ETHNICITY EH0 TH - N IH1 - S IH0 - T IY0 +ETHNICS EH1 TH - N IH0 K S +ETHNOCENTRIC EH2 TH - N OW0 - S EH1 N - T R IH0 K +ETHNOCENTRISM EH2 TH - N OW0 - S EH1 N - T R IH0 - Z AH0 M +ETHNOGRAPHIC EH2 TH - N AH0 - G R AE1 - F IH0 K +ETHNOLOGY EH0 TH - N AA1 - L AH0 - JH IY0 +ETHNOMUSICOLOGIST EH0 TH - N AH0 - M Y UW2 - Z AH0 - K AA1 - L AH0 - JH IH0 S T +ETHNOS EH1 TH - N OW0 S +ETHNOS'S EH1 TH - N AH0 - S IH0 Z +ETHOLOGY IH0 - TH AA1 - L AH0 - 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OW1 - N IY0 +ETZKORN EH1 T - S K ER0 N +ETZLER EH1 T - S L ER0 +EUAN Y UW1 - AH0 N +EUBANK Y UW1 - B AE0 NG K +EUBANKS Y UW1 - B AE0 NG K S +EUCALYPTI Y UW2 - K AH0 - L IH1 P - T AY0 +EUCALYPTI(2) Y UW2 - K AH0 - L IH1 P - T IY0 +EUCALYPTUS Y UW2 - K AH0 - L IH1 P - T AH0 S +EUCHARIST Y UW1 - K ER0 - AH0 S T +EUCHRE Y UW1 - K ER0 +EUCHRED Y UW1 - K ER0 D +EUCLEA Y UW1 - K L IY0 - AH0 +EUCLID Y UW1 - K L IH0 D +EUDOCIA Y UW0 - D OW1 - CH AH0 +EUDORA Y UW0 - D AO1 - R AH0 +EUDOSIA Y UW0 - D OW1 - S IY0 - AH0 +EUDOXIA Y UW2 - D AA1 K - S IY0 - AH0 +EUDY Y UW1 - D IY0 +EUGENE Y UW0 - JH IY1 N +EUGENIA Y UW2 - JH IY1 - N IY0 - AH0 +EUGENIA'S Y UW2 - JH IY1 - N IY0 - AH0 Z +EUGENIC Y UW0 - JH EH1 - N IH0 K +EUGENICS Y UW0 - JH EH1 - N IH0 K S +EUGENIE Y UW2 - JH IY1 - N IY0 +EUGENIO Y UW2 - JH IY1 - N IY0 - OW0 +EUGENIO'S Y UW2 - JH IY1 - N IY0 - OW0 Z +EULA Y UW1 - L AH0 +EULER OY1 - L ER0 +EULICH Y UW1 - L IH0 K +EULOGIES Y UW1 - L AH0 - JH IY0 Z +EULOGIZE Y UW1 - L AH0 - JH AY2 Z +EULOGIZED Y UW1 - 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TH AH0 - N EY1 - ZH AH0 +EUTHANASIA'S Y UW2 - TH AH0 - N EY1 - ZH AH0 Z +EUTHANASIA(2) Y UW2 - TH AH0 - N EY1 - ZH Y AH0 +EUTHANIZE Y UW1 - TH AH0 - N AY2 Z +EUTSEY Y UW1 T - S IY0 +EUTSLER Y UW1 T S - L ER0 +EV EH1 V +EVA EY1 - V AH0 +EVA'S EY1 - V AH0 Z +EVA'S(2) IY1 - V AH0 Z +EVA(2) IY1 - V AH0 +EVACUATE IH0 - V AE1 - K Y AH0 - EY2 T +EVACUATE(2) IY0 - V AE1 - K Y AH0 - EY2 T +EVACUATED IH0 - V AE1 - K Y AH0 W - EY2 - T IH0 D +EVACUATED(2) IY0 - V AE1 - K Y AH0 W - EY2 - T IH0 D +EVACUATING IH0 - V AE1 - K Y AH0 W - EY2 - T IH0 NG +EVACUATING(2) IY0 - V AE1 - K Y AH0 W - EY2 - T IH0 NG +EVACUATION IH0 - V AE2 - K Y AH0 W - EY1 - SH AH0 N +EVACUATION(2) IY0 - V AE1 - K Y AH0 W - EY1 - SH AH0 N +EVACUATIONS IH0 - V AE2 - K Y AH0 W - EY1 - SH AH0 N Z +EVACUATIONS(2) IY0 - V AE1 - K Y AH0 W - EY1 - SH AH0 N Z +EVACUEE IH0 - V AE1 - K Y UW0 - IY0 +EVACUEE(2) IY0 - V AE1 - K Y UW0 - IY0 +EVACUEES IH0 - V AE1 - K Y UW0 - IY0 Z +EVACUEES(2) IY0 - V AE1 - K Y UW0 - IY0 Z +EVADE IH0 - V EY1 D +EVADE(2) IY0 - 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V AE1 N - JH AH0 - L IH0 S S +EVANGELISTS(5) IH0 - V AE1 N - JH AH0 - L IH0 S +EVANGELISTS(6) IY0 - V AE1 N - JH AH0 - L IH0 S +EVANGELIZE IH0 - V AE1 N - JH AH0 - L AY2 Z +EVANGELIZE(2) IY0 - V AE1 N - JH AH0 - L AY2 Z +EVANGI IH0 - V AE1 N - JH IY0 +EVANKO IH0 - V AE1 NG - K OW0 +EVANOFF EH1 - V AH0 N - AO0 F +EVANS EH1 - V AH0 N Z +EVANS' EH1 - V AH0 N Z +EVANS'S EH1 - V AH0 N - Z IH0 Z +EVANSON EH1 - V AH0 N - S AH0 N +EVANSTON EH1 - V AH0 N - S T AH0 N +EVANSVILLE EH1 - V AH0 N Z - V IH2 L +EVAPORATE IH0 - V AE1 - P ER0 - EY2 T +EVAPORATED IH0 - V AE1 - P ER0 - EY2 - T AH0 D +EVAPORATED(2) IH0 - V AE1 - P ER0 - EY2 - T IH0 D +EVAPORATED(3) IY0 - V AE1 - P ER0 - EY2 - T AH0 D +EVAPORATED(4) IY0 - V AE1 - P ER0 - EY2 - T IH0 D +EVAPORATES IH0 - V AE1 - P ER0 - EY2 T S +EVAPORATES(2) IY0 - V AE1 - P ER0 - EY2 T S +EVAPORATING IH0 - V AE1 - P ER0 - EY2 - T IH0 NG +EVAPORATING(2) IY0 - V AE1 - P ER0 - EY2 - T IH0 NG +EVAPORATION IH0 - V AE2 - P ER0 - EY1 - SH AH0 N +EVAPORATION(2) IY0 - V AE2 - P ER0 - EY1 - SH AH0 N +EVAPORATOR IH0 - V AE1 - P ER0 - EY2 - T ER0 +EVAPORATOR(2) IY0 - V AE1 - P ER0 - EY2 - T ER0 +EVARTS EH1 - V ER0 T S +EVASION IH0 - V EY1 - ZH AH0 N +EVASION(2) IY0 - V EY1 - ZH AH0 N +EVASIONS IH0 - V EY1 - ZH AH0 N Z +EVASIONS(2) IY0 - V EY1 - ZH AH0 N Z +EVASIVE IH0 - V EY1 - S IH0 V +EVASIVE(2) IH0 - V EY1 - Z IH0 V +EVASIVE(3) IY0 - V EY1 - S IH0 V +EVASIVE(4) IY0 - V EY1 - Z IH0 V +EVATT EH1 - V AH0 T +EVE IY1 V +EVEL EH1 - V AH0 L +EVELAND IY1 V - L AH0 N D +EVELETH EH1 - V IH0 - L IH0 TH +EVELINA EH2 - V EH0 - L IY1 - N AH0 +EVELINE EH1 - V AH0 - L IH0 N +EVELYN EH1 - V AH0 - L AH0 N +EVELYN(2) EH1 - V AH0 - L IH0 N +EVEN IY1 - V IH0 N +EVENDALE EH1 - V AH0 N - D EY2 L +EVENED IY1 - V AH0 N D +EVENHANDED IY1 - V AH0 N - HH AE1 N - D IH0 D +EVENHANDEDLY EH1 - V AH0 N - HH AE2 N - D IH0 D - L IY0 +EVENING IY1 V - N IH0 NG +EVENING'S IY1 V - N IH0 NG Z +EVENINGS IY1 V - N IH0 NG Z +EVENLY IY1 - V AH0 N - L IY0 +EVENNESS IY1 - V AH0 N - N AH0 S +EVENS IY1 - 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L IH0 NG +EXPEND IH0 K - S P EH1 N D +EXPENDABLE IH0 K - S P EH1 N - D AH0 - B AH0 L +EXPENDED IH0 K - S P EH1 N - D IH0 D +EXPENDING EH2 K - S P EH1 N - D IH0 NG +EXPENDITURE IH0 K - S P EH1 N - D AH0 - CH ER0 +EXPENDITURE(2) IH0 K - S P EH1 N - D IH0 - CH ER0 +EXPENDITURES IH0 K - S P EH1 N - D AH0 - CH ER0 Z +EXPENDITURES(2) IH0 K - S P EH1 N - D IH0 - CH ER0 Z +EXPENSE IH0 K - S P EH1 N S +EXPENSES IH0 K - S P EH1 N - S AH0 Z +EXPENSES(2) IH0 K - S P EH1 N - S IH0 Z +EXPENSING IH0 K - S P EH1 N - S IH0 NG +EXPENSIVE IH0 K - S P EH1 N - S IH0 V +EXPENSIVELY EH2 K - S P EH1 N - S IH0 V - L IY0 +EXPERIENCE IH0 K - S P IH1 - R IY0 - AH0 N S +EXPERIENCED IH0 K - S P IH1 - R IY0 - AH0 N S T +EXPERIENCES IH0 K - S P IH1 - R IY0 - AH0 N - S IH0 Z +EXPERIENCING IH0 K - S P IH1 - R IY0 - AH0 N - S IH0 NG +EXPERIENTIAL EH0 K - S P EH2 - R IY0 - EH1 N - SH AH0 L +EXPERIMENT IH0 K - S P EH1 - R AH0 - M AH0 N T +EXPERIMENT'S IH0 K - S P EH1 - R AH0 - M AH0 N T S +EXPERIMENTAL IH0 K - S P EH2 - R AH0 - 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S AH0 T +EXPLICITLY IH0 K - S P L IH1 - S AH0 T - L IY0 +EXPLODE IH0 K - S P L OW1 D +EXPLODED IH0 K - S P L OW1 - D AH0 D +EXPLODED(2) IH0 K - S P L OW1 - D IH0 D +EXPLODES IH0 K - S P L OW1 D Z +EXPLODING IH0 K - S P L OW1 - D IH0 NG +EXPLOIT EH1 K - S P L OY2 T +EXPLOIT(2) EH2 K - S P L OY1 T +EXPLOITATION EH2 K - S P L OY2 - T EY1 - SH AH0 N +EXPLOITATIVE EH2 K - S P L OY1 - T AH0 - T IH0 V +EXPLOITED EH1 K - S P L OY2 - T AH0 D +EXPLOITED(2) IH0 K - S P L OY1 - T AH0 D +EXPLOITING EH1 K - S P L OY2 - T IH0 NG +EXPLOITING(2) IH0 K - S P L OY1 - T IH0 NG +EXPLOITIVE IH0 K - S P L OY1 - T IH0 V +EXPLOITIVE(2) EH0 K - S P L OY1 - T IH0 V +EXPLOITS EH1 K - S P L OY2 T S +EXPLORATION EH2 K - S P L ER0 - EY1 - SH AH0 N +EXPLORATION'S EH2 K - S P L ER0 - EY1 - SH AH0 N Z +EXPLORATION'S(2) EH1 K - S P L AO0 - R EY1 - SH AH0 N Z +EXPLORATION(2) EH2 K - S P L AO0 - R EY1 - SH AH0 N +EXPLORATIONS EH2 K - S P L ER0 - EY1 - SH AH0 N Z +EXPLORATIONS(2) EH1 K - S P L AO0 - R EY1 - SH AH0 N Z +EXPLORATORY IH0 K - 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T ER0 Z +EXPORTERS' EH2 K - S P AO1 R - T ER0 Z +EXPORTING IH0 K - S P AO1 R - T IH0 NG +EXPORTS EH1 K - S P AO0 R T S +EXPOS EH1 K - S P OW0 Z +EXPOSE IH0 K - S P OW1 Z +EXPOSED IH0 K - S P OW1 Z D +EXPOSES IH0 K - S P OW1 - Z IH0 Z +EXPOSING IH0 K - S P OW1 - Z IH0 NG +EXPOSITION EH2 K - S P AH0 - Z IH1 - SH AH0 N +EXPOSITIONS EH2 K - S P AH0 - Z IH1 - SH AH0 N Z +EXPOSITO EH0 K - S P AH0 - S AY1 - T OW0 +EXPOSITO(2) EH0 K - S P AH0 - Z IY1 - T OW0 +EXPOSURE IH0 K - S P OW1 - ZH ER0 +EXPOSURES IH0 K - S P OW1 - ZH ER0 Z +EXPOUND IH0 K - S P AW1 N D +EXPOUNDED IH0 K - S P AW1 N - D AH0 D +EXPOUNDING IH0 K - S P AW1 N - D IH0 NG +EXPOUNDS IH0 K - S P AW1 N D Z +EXPRESS IH0 K - S P R EH1 S +EXPRESS' IH0 K - S P R EH1 S +EXPRESS'S IH0 K - S P R EH1 - S IH0 Z +EXPRESSED IH0 K - S P R EH1 S T +EXPRESSES IH0 K - S P R EH1 - S AH0 Z +EXPRESSES(2) IH0 K - S P R EH1 - S IH0 Z +EXPRESSING IH0 K - S P R EH1 - S IH0 NG +EXPRESSION IH0 K - S P R EH1 - SH AH0 N +EXPRESSIONISM IH0 K - S P R EH1 - SH AH0 N - IH2 - Z AH0 M +EXPRESSIONIST IH0 K - S P R EH1 - SH AH0 N - AH0 S T +EXPRESSIONISTIC IH0 K - S P R EH2 - SH AH0 - N IH1 - S T IH0 K +EXPRESSIONLESS IH0 K - S P R EH2 - SH AH0 N - L IH0 S +EXPRESSIONS IH0 K - S P R EH1 - SH AH0 N Z +EXPRESSIVE IH0 K - S P R EH1 - S IH0 V +EXPRESSIVITY EH2 K - S P R AH0 - S IH1 - V IH0 - T IY0 +EXPRESSLY EH0 K - S P R EH1 S - L IY0 +EXPRESSO IH0 K - S P EH1 - S OW0 +EXPRESSO(2) EH0 K - S P EH1 - S OW0 +EXPRESSWAY IH0 K - S P R EH1 S - W EY2 +EXPROPRIATE EH0 K S - P R OW1 - P R IY0 - EY2 T +EXPROPRIATED EH0 K S - P R OW1 - P R IY0 - EY2 - T IH0 D +EXPROPRIATION EH2 K S - P R OW2 - P R IY0 - EY1 - SH AH0 N +EXPROPRIATIONS EH2 K S - P R OW2 - P R IY0 - EY1 - SH AH0 N Z +EXPULSION IH0 K - S P AH1 L - SH AH0 N +EXPULSIONS IH0 K - S P AH1 L - SH AH0 N Z +EXPUNGE IH0 K - S P AH1 N JH +EXPUNGED IH0 K - S P AH1 N JH D +EXQUISITE EH1 K - S K W AH0 - Z AH0 T +EXQUISITELY EH2 K - S K W IH1 - Z IH0 T - L IY0 +EXTANT EH1 K - S T AH0 N T +EXTEL EH1 K - S T EH2 L +EXTEND IH0 K - S T EH1 N D +EXTENDABLE EH2 K - S T EH1 N - D AH0 - B AH0 L +EXTENDED IH0 K - S T EH1 N - D AH0 D +EXTENDED(2) IH0 K - S T EH1 N - D IH0 D +EXTENDER EH1 K - S T EH2 N - D ER0 +EXTENDERS EH1 K - S T EH2 N - D ER0 Z +EXTENDIBLE EH2 K - S T EH1 N - D IH0 - B AH0 L +EXTENDING IH0 K - S T EH1 N - D IH0 NG +EXTENDS IH0 K - S T EH1 N D Z +EXTENSION IH0 K - S T EH1 N - SH AH0 N +EXTENSIONS IH0 K - S T EH1 N - SH AH0 N Z +EXTENSIVE IH0 K - S T EH1 N - S IH0 V +EXTENSIVELY IH0 K - S T EH1 N - S IH0 V - L IY0 +EXTENT IH0 K - S T EH1 N T +EXTENUATE IH0 K - S T EH1 - N Y UW0 - EY2 T +EXTENUATING IH0 K - S T EH1 - N Y UW0 - EY2 - T IH0 NG +EXTERIOR IH0 K - S T IH1 - R IY0 - ER0 +EXTERIORS EH0 K - S T IH1 - R IY0 - ER0 Z +EXTERMINATE IH0 K - S T ER1 - M AH0 - N EY2 T +EXTERMINATED IH0 K - S T ER1 - M AH0 - N EY2 - T IH0 D +EXTERMINATES IH0 K - S T ER1 - M AH0 - N EY2 T S +EXTERMINATING IH0 K - S T ER1 - M AH0 - N EY2 - T IH0 NG +EXTERMINATION IH0 K - S T ER2 - M AH0 - N EY1 - SH AH0 N +EXTERMINATOR IH0 K - S T ER1 - M AH0 - N EY2 - T ER0 +EXTERMINATORS IH0 K - S T ER1 - M AH0 - N EY2 - T ER0 Z +EXTERNAL IH0 K - S T ER1 - N AH0 L +EXTERNALLY IH0 K - S T ER1 - N AH0 - L IY0 +EXTINCT IH0 K - S T IH1 NG K T +EXTINCTION IH0 K - S T IH1 NG K - SH AH0 N +EXTINCTION(2) IH0 K - S T IH1 NG - SH AH0 N +EXTINGUISH IH0 K - S T IH1 NG - G W IH0 SH +EXTINGUISHED IH0 K - S T IH1 NG - G W IH0 SH T +EXTINGUISHER IH0 K - S T IH1 NG - G W IH0 - SH ER0 +EXTINGUISHERS IH0 K - S T IH1 NG - G W IH0 - SH ER0 Z +EXTINGUISHING IH0 K - S T IH1 NG - G W IH0 - SH IH0 NG +EXTINGUISHMENT IH0 K - S T IH1 NG - G W IH0 SH - M AH0 N T +EXTIRPATE EH1 K - S T ER0 - P EY2 T +EXTOL IH0 K - S T OW1 L +EXTOLLED IH0 K - S T OW1 L D +EXTOLLING IH0 K - S T OW1 - L IH0 NG +EXTOLS IH0 K - S T OW1 L Z +EXTON EH1 K - S T AH0 N +EXTORT IH0 K - S T AO1 R T +EXTORTED IH0 K - S T AO1 R - T IH0 D +EXTORTING IH0 K - S T AO1 R - T IH0 NG +EXTORTION IH0 K - S T AO1 R - SH AH0 N +EXTORTIONATE IH0 K - S T AO1 R - SH AH0 N - AH0 T +EXTORTIONATE(2) IH0 K - 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L IY0 +FARGO F AA1 R - G OW2 +FARGO'S F AA1 R - G OW2 Z +FARHA F AA1 R - HH AH0 +FARHAT F AA1 R - HH AE2 T +FARIA F AA1 - R IY0 - AH0 +FARIAS F EH1 - R IY0 - AH0 Z +FARIBAULT F AE1 - R AH0 - B AA2 L T +FARICA F AA0 - R IY1 - K AH0 +FARIDOUN F AA1 - R IH0 - D UW0 N +FARIELLO F AA0 - R IY0 - EH1 - L OW0 +FARIES F EH0 - R IY1 Z +FARINA F ER0 - IY1 - N AH0 +FARINACCI F AA0 - R IY0 - N AA1 - CH IY0 +FARINAS F ER0 - IY1 - N AH0 Z +FARINELLA F AA0 - R IY0 - N EH1 - L AH0 +FARING F EH1 - R IY0 NG +FARINO F AA0 - R IY1 - N OW0 +FARIS F EH1 - R IH0 S +FARISH F EH1 - R IH0 SH +FARISS F ER0 - IH1 S +FARKAS F AA1 R - K AH0 S +FARLAND F AA1 R - L AH0 N D +FARLEE F AA1 R - L IY2 +FARLER F AA1 R - L ER0 +FARLESS F AA1 R - L AH0 S +FARLEY F AA1 R - L IY0 +FARLING F AA1 R - L IH0 NG +FARLOW F AA1 R - L OW2 +FARLY F AA1 R - L IY0 +FARM F AA1 R M +FARM'S F AA1 R M Z +FARMAN F AA1 R - M AH0 N +FARMBOY F AA1 R M - B OY2 +FARMED F AA1 R M D +FARMER F AA1 R - M ER0 +FARMER'S F AA1 R - M ER0 Z +FARMERS F AA1 R - M ER0 Z +FARMERS' F AA1 R - M ER0 Z +FARMERS'S F AA1 R - M ER0 - Z IH0 Z +FARMHAND F AA1 R M - HH AE2 N D +FARMHANDS F AA1 R M - HH AE2 N D Z +FARMHOUSE F AA1 R M - HH AW2 S +FARMHOUSES F AA1 R M - HH AW2 - S AH0 Z +FARMHOUSES(2) F AA1 R M - HH AW2 - S IH0 Z +FARMING F AA1 R - M IH0 NG +FARMING'S F AA1 R - M IH0 NG Z +FARMINGDALE F AA1 R - M IH0 NG - D EY2 L +FARMINGTON F AA1 R - M IH0 NG - T AH0 N +FARMLAND F AA1 R M - L AE2 N D +FARMLANDS F AA1 R M - L AE2 N D Z +FARMS F AA1 R M Z +FARMS' F AA1 R M Z +FARMSTEAD F AA1 R M - S T EH2 D +FARMWORKER F AA1 R M - W ER2 - K ER0 +FARMWORKERS F AA1 R M - W ER2 - K ER0 Z +FARMYARD F AA1 R M - Y AA2 R D +FARNALL F AA1 R - N AH0 L +FARNAM F AA1 R - N AH0 M +FARNAN F AA1 R - N AH0 N +FARNBOROUGH F AA1 R N - B ER0 - OW0 +FARNELL F AA1 R - N AH0 L +FARNER F AA1 R - N ER0 +FARNES F AA1 R N Z +FARNEY F AA1 R - N IY0 +FARNHAM F AA1 R - N AH0 M +FARNLEY F AA1 R N - L IY0 +FARNSWORTH F AA1 R N - S W ER0 TH +FARNUM F AA1 R - N AH0 M +FARNWORTH F AA1 R N - 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S T ER0 +FASTEST F AE1 - S T AH0 S T +FASTFOOD F AE1 S T - F UW2 D +FASTIDIOUS F AE0 - S T IH1 - D IY0 - AH0 S +FASTING F AE1 - S T IH0 NG +FASTNESS F AE1 S T - N AH0 S +FASTS F AE1 S T S +FASULO F AH0 - S UW1 - L OW0 +FAT F AE1 T +FATA F AA1 - T AH0 +FATAH F AA1 - T AH0 +FATAH(2) F AH0 - T AA1 +FATAL F EY1 - T AH0 L +FATALISM F EY1 - T AH0 - L IH2 - Z AH0 M +FATALIST F EY1 - T AH0 - L IH0 S T +FATALISTIC F EY0 - T AH0 - L IH1 - S T IH0 K +FATALISTS F EY1 - T AH0 - L IH0 S T S +FATALISTS(2) F EY1 - T AH0 - L IH0 S S +FATALISTS(3) F EY1 - T AH0 - L IH0 S +FATALITIES F AH0 - T AE1 - L AH0 - T IY0 Z +FATALITIES(2) F AH0 - T AE1 - L IH0 - T IY0 Z +FATALITY F AH0 - T AE1 - L AH0 - T IY0 +FATALITY(2) F AH0 - T AE1 - L IH0 - T IY0 +FATALLY F EY1 - T AH0 - L IY0 +FATE F EY1 T +FATED F EY1 - T IH0 D +FATEFUL F EY1 T - F AH0 L +FATES F EY1 T S +FATH F AE1 TH +FATHER F AA1 - DH ER0 +FATHER'S F AA1 - DH ER0 Z +FATHERED F AA1 - DH ER0 D +FATHEREE F AE0 - TH ER0 - IY1 +FATHERHOOD F AA1 - DH ER0 - HH UH2 D +FATHERING F AA1 - 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S T IH0 D +FISTER F IH1 - S T ER0 +FISTFUL F IH1 S T - F AH0 L +FISTICUFF F IH1 - S T IH0 - K AH2 F +FISTICUFFS F IH1 - S T IH0 - K AH2 F S +FISTS F IH1 S T S +FIT F IH1 T +FITAK F IH1 - T AE2 K +FITCH F IH1 CH +FITCHBURG F IH1 CH - B ER0 G +FITCHETT F IH1 - CH IH0 T +FITE F AY1 T +FITES F AY1 T S +FITFUL F IH1 T - F AH0 L +FITFULLY F IH1 T - F AH0 - L IY0 +FITHE F IH1 TH +FITHIAN F IH1 - TH IY0 - AH0 N +FITNESS F IH1 T - N AH0 S +FITS F IH1 T S +FITSWATER F IH1 T - S W AO2 - T ER0 +FITT F IH1 T +FITTED F IH1 - T AH0 D +FITTED(2) F IH1 - T IH0 D +FITTER F IH1 - T ER0 +FITTERER F IH1 - T ER0 - ER0 +FITTEST F IH1 - T AH0 S T +FITTING F IH1 - T IH0 NG +FITTINGLY F IH1 - T IH0 NG - L IY0 +FITTINGS F IH1 - T IH0 NG Z +FITTIPALDI F IH0 - T IH0 - P AA1 L - D IY0 +FITTON F IH1 - T AH0 N +FITTRO F IH1 - T R OW0 +FITTS F IH1 T S +FITZ F IH1 T S +FITZCO F IH1 T - S K OW0 +FITZER F IH1 T - S ER0 +FITZGERALD F IH0 T - S JH EH1 - R AH0 L D +FITZGERALD'S F IH0 T - S JH EH1 - R AH0 L D Z +FITZGIBBON F IH2 T S - 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S ER0 +FIXES F IH1 K - S IH0 Z +FIXING F IH1 K - S IH0 NG +FIXINGS F IH1 K - S IH0 NG Z +FIXLER F IH1 K S - L ER0 +FIXTURE F IH1 K S - CH ER0 +FIXTURES F IH1 K S - CH ER0 Z +FIZER F AY1 - Z ER0 +FIZZ F IH1 Z +FIZZLE F IH1 - Z AH0 L +FIZZLED F IH1 - Z AH0 L D +FIZZLES F IH1 - Z AH0 L Z +FIZZLING F IH1 - Z AH0 L - IH0 NG +FIZZLING(2) F IH1 Z - L IH0 NG +FJELD F Y EH1 L D +FJELSTAD F Y EH1 L - S T AH0 D +FJORD F Y AO1 R D +FJORDS F Y AO1 R D Z +FLAB F L AE1 B +FLABBERGAST F L AE1 - B ER0 - G AE2 S T +FLABBERGASTED F L AE1 - B ER0 - G AE2 - S T IH0 D +FLABBY F L AE1 - B IY0 +FLACCID F L AE1 K - S IH0 D +FLACCID(2) F L AE1 - K IH0 D +FLACH F L AE1 CH +FLACK F L AE1 K +FLAD F L AE1 D +FLAG F L AE1 G +FLAGELLA F L AH0 - JH EH1 - L AH0 +FLAGELLATE F L AE1 - JH AH0 - L EY2 T +FLAGELLATED F L AE1 - JH AH0 - L EY2 - T AH0 D +FLAGELLUM F L AH0 - JH EH1 - L AH0 M +FLAGEOLET F L AE2 - JH AH0 - L EH1 T +FLAGG F L AE1 G +FLAGGED F L AE1 G D +FLAGGING F L AE1 - G IH0 NG +FLAGLER F L AE1 G - L ER0 +FLAGPOLE F L AE1 G - P OW2 L +FLAGPOLES F L AE1 G - P OW2 L Z +FLAGRANT F L EY1 - G R AH0 N T +FLAGRANTLY F L EY1 - G R AH0 N T - L IY0 +FLAGS F L AE1 G Z +FLAGSHIP F L AE1 G - SH IH2 P +FLAGSHIPS F L AE1 G - SH IH2 P S +FLAGSTAFF F L AE1 G - S T AE2 F +FLAGSTAR F L AE1 G - S T AA2 R +FLAGSTONE F L AE1 G - S T OW2 N +FLAHARTY F L EH1 R - T IY0 +FLAHERTY F L EH1 R - T IY0 +FLAHIVE F L AE1 - HH IH0 V +FLAIG F L EY1 G +FLAIL F L EY1 L +FLAILING F L EY1 - L IH0 NG +FLAIM F L EY1 M +FLAIR F L EH1 R +FLAK F L AE1 K +FLAKE F L EY1 K +FLAKES F L EY1 K S +FLAKING F L EY1 - K IH0 NG +FLAKY F L EY1 - K IY0 +FLAM F L AE1 M +FLAMBOYANCE F L AE0 M - B OY1 - AH0 N S +FLAMBOYANT F L AE0 M - B OY1 - AH0 N T +FLAMBOYANTLY F L AE0 M - B OY1 - AH0 N T - L IY0 +FLAME F L EY1 M +FLAMED F L EY1 M D +FLAMEMASTER F L EY1 - M AE2 - S T ER0 +FLAMENCO F L AH0 - M EH1 NG - K OW2 +FLAMER F L EY1 - M ER0 +FLAMES F L EY1 M Z +FLAMING F L EY1 - M IH0 NG +FLAMINGO F L AH0 - M IH1 NG - G OW0 +FLAMINGOS F L AH0 - M IH1 NG - G OW0 Z +FLAMINIAN F L AH0 - M IH1 - N IY0 - AH0 N +FLAMM F L AE1 M +FLAMMABILITY F L AE2 - M AH0 - B IH1 - L IH0 - T IY0 +FLAMMABLE F L AE1 - M AH0 - B AH0 L +FLAMMANG F L AE1 - M AH0 NG +FLAMMER F L AE1 - M ER0 +FLAMMIA F L AE1 - M IY0 - AH0 +FLAMSON F L AE1 M - S AH0 N +FLAN F L AE1 N +FLANAGAN F L AE1 - N AH0 - G AH0 N +FLANAGIN F L AE1 - N AH0 - G IH0 N +FLANARY F L AE1 - N ER0 - IY0 +FLANDERS F L AE1 N - D ER0 Z +FLANERY F L EY1 - N ER0 - IY0 +FLANGE F L AE1 N JH +FLANGES F L AE1 N - JH AH0 Z +FLANIGAN F L AE1 - N IH0 - G AH0 N +FLANIGAN'S F L AE1 - N IH0 - G AH0 N Z +FLANK F L AE1 NG K +FLANKED F L AE1 NG K T +FLANKING F L AE1 NG - K IH0 NG +FLANKS F L AE1 NG K S +FLANN F L AE1 N +FLANNA F L AE1 - N AH0 +FLANNAGAN F L AE1 - N AH0 - G AH0 N +FLANNEL F L AE1 - N AH0 L +FLANNELED F L AE1 - N AH0 L D +FLANNELS F L AE1 - N AH0 L Z +FLANNERY F L AE1 - N ER0 - IY0 +FLANNIGAN F L AE1 - N IH0 - G AH0 N +FLANSBURG F L AE1 N S - B ER0 G +FLAP F L AE1 P +FLAPLIKE F L AE1 P - L AY2 K +FLAPPED F L AE1 P T +FLAPPER F L AE1 - P ER0 +FLAPPERS F L AE1 - P ER0 Z +FLAPPING F L AE1 - P IH0 NG +FLAPS F L AE1 P S +FLARE F L EH1 R +FLARED F L EH1 R D +FLARES F L EH1 R Z +FLARING F L EH1 - R IH0 NG +FLASCH F L AE1 SH +FLASH F L AE1 SH +FLASH'S F L AE1 - SH IH0 Z +FLASHBACK F L AE1 SH - B AE2 K +FLASHBACKS F L AE1 SH - B AE2 K S +FLASHBULB F L AE1 SH - B AH0 L B +FLASHDANCE F L AE1 SH - D AE2 N S +FLASHED F L AE1 SH T +FLASHER F L AE1 - SH ER0 +FLASHER'S F L AE1 - SH ER0 Z +FLASHERS F L AE1 - SH ER0 Z +FLASHES F L AE1 - SH IH0 Z +FLASHIER F L AE1 - SH IY0 - ER0 +FLASHING F L AE1 - SH IH0 NG +FLASHLIGHT F L AE1 SH - L AY2 T +FLASHLIGHTS F L AE1 SH - L AY2 T S +FLASHPOINT F L AE1 SH - P OY2 N T +FLASHPOINTS F L AE1 SH - P OY2 N T S +FLASHY F L AE1 - SH IY0 +FLASK F L AE1 S K +FLASKS F L AE1 S K S +FLAT F L AE1 T +FLATAU F L AE1 - T AW0 +FLATBED F L AE1 T - B EH2 D +FLATBOAT F L AE1 T - B OW2 T +FLATBUSH F L AE1 T - B UH2 SH +FLATEN F L AE1 - T AH0 N +FLATER F L EY1 - T ER0 +FLATFISH F L AE1 T - F IH2 SH +FLATFISHES F L AE1 T - F IH2 - SH IH0 Z +FLATH F L AE1 TH +FLATHEAD F L AE1 T - HH EH2 D +FLATHEADS F L AE1 T - HH EH2 D Z +FLATHERS F L AE1 - DH ER0 Z +FLATLAND F L AE1 T - L AE2 N D +FLATLANDS F L AE1 T - L AE0 N D Z +FLATLEY F L AE1 T - L IY0 +FLATLY F L AE1 T - L IY0 +FLATNESS F L AE1 T - N AH0 S +FLATS F L AE1 T S +FLATT F L AE1 T +FLATTEN F L AE1 - T AH0 N +FLATTENED F L AE1 - T AH0 N D +FLATTENING F L AE1 - T AH0 - N IH0 NG +FLATTENING(2) F L AE1 T - N IH0 NG +FLATTER F L AE1 - T ER0 +FLATTERED F L AE1 - T ER0 D +FLATTERING F L AE1 - T ER0 - IH0 NG +FLATTERY F L AE1 - T ER0 - IY0 +FLATTISH F L AE1 - T IH0 SH +FLATULENT F L AE1 - CH AH0 - L AH0 N T +FLATWARE F L AE1 T - W EH2 R +FLATWORM F L AE1 T - W ER0 M +FLAUBERT F L AW1 - B ER0 T +FLAUGH F L AO1 +FLAUGHER F L AO1 - ER0 +FLAUM F L AO1 M +FLAUNT F L AO1 N T +FLAUNTED F L AO1 N - T IH0 D +FLAUNTING F L AO1 N - T IH0 NG +FLAUNTS F L AO1 N T S +FLAVELL F L AE1 - V AH0 L +FLAVIA F L AE1 - V IY0 - AH0 +FLAVIER F L EY1 - V Y ER0 +FLAVIER(2) F L AE1 - V Y ER0 +FLAVIN F L EY1 - V IH0 N +FLAVIO F L AA1 - V IY0 - OW0 +FLAVIUS F L EY1 - V IY0 - IH0 S +FLAVOR F L EY1 - V ER0 +FLAVORED F L EY1 - V ER0 D +FLAVORFUL F L EY1 - V ER0 - F AH0 L +FLAVORING F L EY1 - V ER0 - IH0 NG +FLAVORINGS F L EY1 - V ER0 - IH0 NG Z +FLAVORIST F L EY1 - V ER0 - IH0 S T +FLAVORISTS F L EY1 - V ER0 - IH0 S T S +FLAVORISTS(2) F L EY1 - V ER0 - IH0 S S +FLAVORISTS(3) F L EY1 - V ER0 - IH0 S +FLAVORS F L EY1 - V ER0 Z +FLAW F L AO1 +FLAWED F L AO1 D +FLAWLESS F L AO1 - L AH0 S +FLAWLESSLY F L AO1 - L AH0 S - L IY0 +FLAWN F L AO1 N +FLAWS F L AO1 Z +FLAX F L AE1 K S +FLAXMAN F L AE1 K S - M AH0 N +FLAXSEED F L AE1 K - S IY2 D +FLAY F L EY1 +FLAYED F L EY1 D +FLEA F L IY1 +FLEAGLE F L IY1 - G AH0 L +FLEAS F L IY1 Z +FLECK F L EH1 K +FLECKENSTEIN F L EH1 - K AH0 N - S T AY2 N +FLECKENSTEIN(2) F L EH1 - K AH0 N - S T IY2 N +FLECKS F L EH1 K S +FLED F L EH1 D +FLEDERMAUS F L EH1 - D ER0 - M AW0 S +FLEDGE F L EH1 JH +FLEDGED F L EH1 JH D +FLEDGING F L EH1 - JH IH0 NG +FLEDGLING F L EH1 JH - L IH0 NG +FLEE F L IY1 +FLEECE F L IY1 S +FLEECED F L IY1 S T +FLEECY F L IY1 - S IY0 +FLEEGER F L IY1 - G ER0 +FLEEING F L IY1 - IH0 NG +FLEEK F L IY1 K +FLEEMAN F L IY1 - M AH0 N +FLEENER F L IY1 - N ER0 +FLEENOR F L IY1 - N ER0 +FLEER F L IH1 R +FLEES F L IY1 Z +FLEET F L IY1 T +FLEET'S F L IY1 T S +FLEETING F L IY1 - T IH0 NG +FLEETINGLY F L IY1 - T IH0 NG - L IY0 +FLEETS F L IY1 T S +FLEETWOOD F L IY1 T - W UH2 D +FLEGAL F L IY1 - G AH0 L +FLEGEL F L EH1 - G AH0 L +FLEHARTY F L EH1 - HH AA0 R - T IY0 +FLEIG F L IY1 G +FLEISCH F L AY1 SH +FLEISCHAUER F L AY1 - SH AW0 - ER0 +FLEISCHER F L AY1 - SH ER0 +FLEISCHHACKER F L AY1 SH - HH AH0 - K ER0 +FLEISCHMAN F L AY1 SH - M AH0 N +FLEISCHMANN F L AY1 SH - M AH0 N +FLEISHER F L AY1 - SH ER0 +FLEISHMAN F L AY1 SH - M AH0 N +FLEISS F L AY1 SH +FLEISS' F L AY1 SH +FLEISS'(2) F L AY1 S +FLEISS'S F L AY1 - SH IH0 Z +FLEISS'S(2) F L AY1 - S IH0 Z +FLEISS(2) F L AY1 S +FLEISSNER F L AY1 S - N ER0 +FLEITAS F L AY1 - T AH0 S +FLEMING F L EH1 - M IH0 NG +FLEMING'S F L EH1 - M IH0 NG Z +FLEMINGS F L EH1 - M IH0 NG Z +FLEMINGTON F L EH1 - M IH0 NG - T AH0 N +FLEMISH F L EH1 - M IH0 SH +FLEMISTER F L EH1 - M IH0 - S T ER0 +FLEMMER F L EH1 - M ER0 +FLEMMING F L EH1 - M IH0 NG +FLEMONS F L EH1 - M AH0 N Z +FLENER F L IY1 - N ER0 +FLENNER F L EH1 - N ER0 +FLENNIKEN F L EH1 - N IH0 - K AH0 N +FLESCH F L EH1 SH +FLESH F L EH1 SH +FLESHED F L EH1 SH T +FLESHER F L EH1 - SH ER0 +FLESHMAN F L EH1 SH - M AH0 N +FLESHY F L EH1 - SH IY0 +FLESNER F L EH1 S - N ER0 +FLESSNER F L EH1 S - N ER0 +FLETA F L IY1 - T AH0 +FLETCHALL F L EH1 - CH AH0 L +FLETCHER F L EH1 - CH ER0 +FLETT F L EH1 T +FLEUR F L ER1 +FLEURETTE F L ER0 - EH1 T +FLEURI F L ER1 - R IY1 +FLEURI(2) F L UH1 - R IY1 +FLEURY F L UH1 - R IY0 +FLEW F L UW1 +FLEWELLEN F L UW2 - EH1 - L AH0 N +FLEWELLING F L UW2 - EH1 - L IH0 NG +FLEX F L EH1 K S +FLEXED F L EH1 K S T +FLEXER F L EH1 K - S ER0 +FLEXES F L EH1 K - S IH0 Z +FLEXI F L EH1 K - S IY0 +FLEXIBILITY F L EH2 K - S AH0 - B IH1 - L AH0 - T IY0 +FLEXIBLE F L EH1 K - S AH0 - B AH0 L +FLEXIBLY F L EH1 K - S AH0 - B L IY0 +FLEXING F L EH1 K - S IH0 NG +FLEXION F L EH1 K - SH AH0 N +FLEXNOR F L EH1 K S - N AO0 R +FLEXTIME F L EH1 K - S T AY2 M +FLEXTRONIC F L EH2 K - S T R AA1 - N IH0 K +FLEXTRONICS F L EH2 K - S T R AA1 - N IH0 K S +FLICEK F L IH1 - CH EH0 K +FLICK F L IH1 K +FLICKER F L IH1 - K ER0 +FLICKERED F L IH1 - K ER0 D +FLICKERING F L IH1 - K ER0 - IH0 NG +FLICKERS F L IH1 - K ER0 Z +FLICKING F L IH1 - K IH0 NG +FLICKINGER F L IH1 - K IH0 - NG ER0 +FLICKS F L IH1 K S +FLIED F L AY1 D +FLIEGEL F L IY1 - G AH0 L +FLIER F L AY1 - ER0 +FLIERS F L AY1 - ER0 Z +FLIES F L AY1 Z +FLIGHT F L AY1 T +FLIGHT'S F L AY1 T S +FLIGHTLESS F L AY1 T - L AH0 S +FLIGHTS F L AY1 T S +FLIGHTSAFETY F L AY1 T - S EY1 F - T IY0 +FLIGHTY F L AY1 - T IY0 +FLIM F L IH1 M +FLIMFLAM F L IH1 M - F L AE2 M +FLIMSIEST F L IH1 M - Z IY0 - AH0 S T +FLIMSY F L IH1 M - Z IY0 +FLINCH F L IH1 N CH +FLINCHBAUGH F L IH1 N CH - B AO2 +FLINCHED F L IH1 N CH T +FLINCHING F L IH1 N - CH IH0 NG +FLINCHUM F L IH1 N - K AH0 M +FLINDERS F L IH1 N - D ER0 Z +FLING F L IH1 NG +FLINGING F L IH1 - NG IH0 NG +FLINGS F L IH1 NG Z +FLINK F L IH1 NG K +FLINN F L IH1 N +FLINNER F L IH1 - N ER0 +FLINT F L IH1 N T +FLINT'S F L IH1 N T S +FLINTLOCK F L IH1 N T - L AA2 K +FLINTLOCKS F L IH1 N T - L AA2 K S +FLINTOFF F L IH1 N - T AO0 F +FLINTS F L IH1 N T S +FLINTSTONE F L IH1 N T - S T OW1 N +FLINTSTONES F L IH1 N T - S T OW1 N Z +FLINTY F L IH1 N - T IY0 +FLIP F L IH1 P +FLIPPANT F L IH1 - P AH0 N T +FLIPPED F L IH1 P T +FLIPPEN F L IH1 - P AH0 N +FLIPPER F L IH1 - P ER0 +FLIPPERS F L IH1 - P ER0 Z +FLIPPIN F L IH1 - P IH0 N +FLIPPING F L IH1 - P IH0 NG +FLIPPO F L IH1 - P OW0 +FLIPS F L IH1 P S +FLIRT F L ER1 T +FLIRTATION F L ER0 - T EY1 - SH AH0 N +FLIRTATIONS F L ER0 - T EY1 - SH AH0 N Z +FLIRTATIOUS F L ER0 - T EY1 - SH AH0 S +FLIRTED F L ER1 - T IH0 D +FLIRTING F L ER1 - T IH0 NG +FLIRTS F L ER1 T S +FLIS F L IH1 S +FLISS F L IH1 S +FLIT F L IH1 T +FLITTING F L IH1 - T IH0 NG +FLO F L OW1 +FLOAT F L OW1 T +FLOATED F L OW1 - T AH0 D +FLOATED(2) F L OW1 - T IH0 D +FLOATER F L OW1 - T ER0 +FLOATERS F L OW1 - T ER0 Z +FLOATING F L OW1 - T IH0 NG +FLOATS F L OW1 T S +FLOC F L AA1 K +FLOCK F L AA1 K +FLOCKED F L AA1 K T +FLOCKHART F L AA1 K - HH AA2 R T +FLOCKING F L AA1 - K IH0 NG +FLOCKS F L AA1 K S +FLODIN F L OW1 - D IH0 N +FLOE F L OW1 +FLOERSHEIM F L AO1 R - SH AY2 M +FLOG F L AA1 G +FLOGGING F L AA1 - G IH0 NG +FLOHR F L AA1 R +FLOIRENDA F L OY2 - R EH1 N - D AH0 +FLOM F L AA1 M +FLONORIAL F L AA2 - N AO1 - R IY0 - AH0 L +FLOOD F L AH1 D +FLOODED F L AH1 - D AH0 D +FLOODED(2) F L AH1 - D IH0 D +FLOODGATE F L AH1 D - G EY2 T +FLOODGATES F L AH1 D - G EY2 T S +FLOODING F L AH1 - D IH0 NG +FLOODLIGHT F L AH1 D - L AY2 T +FLOODLIGHTS F L AH1 D - L AY2 T S +FLOODPLAIN F L AH1 D - P L EY2 N +FLOODS F L AH1 D Z +FLOODWATER F L AH1 D - W AO2 - T ER0 +FLOODWATERS F L AH1 D - W AO2 - T ER0 Z +FLOOK F L UH1 K +FLOOR F L AO1 R +FLOORBOARD F L AO1 R - B AO2 R D +FLOORBOARDS F L AO1 R - B AO2 R D Z +FLOORED F L AO1 R D +FLOORING F L AO1 - R IH0 NG +FLOORS F L AO1 R Z +FLOP F L AA1 P +FLOPPED F L AA1 P T +FLOPPING F L AA1 - P IH0 NG +FLOPPY F L AA1 - P IY0 +FLOPS F L AA1 P S +FLOPTICAL F L AA1 P - T IH0 - K AH0 L +FLOR F L AO1 R +FLORA F L AO1 - R AH0 +FLORAFAX F L AO1 - R AH0 - F AE2 K S +FLORAL F L AO1 - R AH0 L +FLORALLY F L AO1 - R AH0 - L IY0 +FLORANCE F L AO1 - R AH0 N S +FLORE F L AO1 R +FLOREA F L AO1 - R IY0 - AH0 +FLOREK F L AO1 - R IH0 K +FLOREN F L AO1 - R AH0 N +FLORENCE F L AO1 - R AH0 N S +FLORENCE'S F L AO1 - R AH0 N - S IH0 Z +FLORENTINA F L AO2 - R EH0 N - T IY1 - N AH0 +FLORENTINE F L AO1 - R AH0 N - T IY2 N +FLORENTINO F L AO0 - R EH0 N - T IY1 - N OW0 +FLORER F L AO1 - R ER0 +FLORES F L AO1 - R EH2 Z +FLORESCUE F L AO1 - R AH0 - S K Y UW0 +FLORESHEIM F L AO1 R - SH AY2 M +FLOREY F L AO1 - R IY0 +FLOREZ F L AO0 - R EH1 Z +FLORI F L AO1 - R IY0 +FLORIA F L AO1 - R IY0 - AH0 +FLORIAN F L AO1 - R IY0 - AH0 N +FLORID F L AO1 - R AH0 D +FLORIDA F L AO1 - R AH0 - D AH0 +FLORIDA'S F L AO1 - R IH0 - D AH0 Z +FLORIDA'S(2) F L AA1 - R IH0 - D AH0 Z +FLORIDA'S(3) F L AO1 - R AH0 - D AH0 Z +FLORIDA(2) F L AO1 - R IH0 - D AH0 +FLORIDA(3) F L AA1 - R AH0 - D AH0 +FLORIDA(4) F L AA1 - R IH0 - D AH0 +FLORIDABANC F L AO1 - R AH0 - D AH0 - B AE2 NG K +FLORIDIAN F L AO0 - R IH1 - D IY0 - AH0 N +FLORIDIANS F L AO0 - R IH1 - D IY0 - AH0 N Z +FLORIN F L AO1 - R IH0 N +FLORINDA F L AO0 - R IY1 N - D AH0 +FLORINE F L AO0 - R IY1 - N IY0 +FLORIO F L AO1 - R IY0 - OW0 +FLORIO'S F L AO1 - R IY0 - OW0 Z +FLORIS F L AO1 - R IH0 S +FLORIST F L AA1 - R AH0 S T +FLORIST(2) F L AO1 - R AH0 S T +FLORISTS F L AO1 - R IH0 S T S +FLORISTS(2) F L AO1 - R IH0 S S +FLORISTS(3) F L AO1 - R IH0 S +FLORO F L AO1 - R OW0 +FLORRIE F L AO1 - R IY0 +FLORRY F L AO1 - R IY0 +FLORSHEIM F L AO1 R - SH AY2 M +FLORY F L AO1 - R IY0 +FLOSS F L AA1 S +FLOSSIE F L AO1 - S IY0 +FLOTATION F L OW0 - T EY1 - SH AH0 N +FLOTILLA F L OW0 - T IH1 - L AH0 +FLOTOW F L AA1 - T AW0 +FLOTSAM F L AA1 T - S AH0 M +FLOTT F L AA1 T +FLOTTA F L AA1 - T AH0 +FLOUNCE F L AW1 N S +FLOUNCES F L AW1 N - S IH0 Z +FLOUNDER F L AW1 N - D ER0 +FLOUNDERED F L AW1 N - 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T AH0 N Z +FOUR F AO1 R +FOUR'S F AO1 R Z +FOURFOLD F AO1 R - F OW1 L D +FOURMAN F AO1 R - M AH0 N +FOURNET F UH0 R - N EH1 T +FOURNIER F AO1 R - N IY0 - ER0 +FOURS F AO1 R Z +FOURSOME F AO1 R - S AH0 M +FOURSQUARE F AO1 R - S K W EH1 R +FOURTEEN F AO1 R - T IY1 N +FOURTEEN(2) F AO2 R - T IY1 N +FOURTEENS F AO1 R - T IY1 N Z +FOURTEENTH F AO1 R - T IY1 N TH +FOURTEENTH(2) F AO2 R - T IY1 N TH +FOURTH F AO1 R TH +FOURTH'S F AO1 R TH S +FOURTHLY F AO1 R TH - L IY0 +FOURTHQUARTER F AO1 R TH - K W AO1 R - T ER0 +FOURTHQUARTER(2) F AO1 R TH - K AO1 R - T ER0 +FOURTHS F AO1 R TH S +FOURTHS(2) F AO1 R S +FOURTOU F AO0 R - T UW1 +FOUSE F AW1 S +FOUSEK F AW1 - S IH0 K +FOUSHEE F AW1 - SH IY0 +FOUST F AW1 S T +FOUT F AW1 T +FOUTCH F AW1 CH +FOUTS F AW1 T S +FOUTY F AW1 - T IY0 +FOUTZ F AW1 T S +FOWBLE F AW1 - B AH0 L +FOWERS F AW1 - ER0 Z +FOWKES F AW1 K S +FOWL F AW1 L +FOWLE F AW1 - AH0 L +FOWLER F AW1 - L ER0 +FOWLER'S F AW1 - L ER0 Z +FOWLES F AW1 - AH0 L Z +FOWLKES F AW1 L K S +FOX F AA1 K S +FOX'S F AA1 K - S AH0 Z +FOXBORO F AA1 K S - B ER0 - OW0 +FOXES F AA1 K - S AH0 Z +FOXFIRE F AA1 K S - F AY2 R +FOXFIRE(2) F AA1 K S - F AY2 - ER0 +FOXGLOVE F AA1 K S - G L AH2 V +FOXHOLE F AA1 K S - HH OW2 L +FOXHOLES F AA1 K S - HH OW2 L Z +FOXHOUND F AA1 K S - HH AW2 N D +FOXMAN F AA1 K S - M AH0 N +FOXMAN'S F AA1 K S - M AH0 N Z +FOXMEYER F AA1 K S - M AY2 R +FOXTAIL F AA1 K S - T EY2 L +FOXWELL F AA1 K S - W EH2 L +FOXWOOD F AA1 K S - W UH2 D +FOXWOODS F AA1 K S - W UH2 D Z +FOXWORTH F AA1 K S - W ER2 TH +FOXWORTHY F AA1 K S - W ER2 - DH IY0 +FOXWORTHY'S F AA1 K S - W ER2 - DH IY0 Z +FOXX F AA1 K S +FOXY F AA1 K - S IY0 +FOY F OY1 +FOYE F OY1 +FOYER F OY1 - ER0 +FOYLE F OY1 L +FOYT F OY1 T +FRAAS F R AA1 Z +FRABLE F R EY1 - B AH0 L +FRACAS F R EY1 - K AH0 S +FRACE F R EY1 S +FRACTAL F R AE1 K - T AH0 L +FRACTION F R AE1 K - SH AH0 N +FRACTIONAL F R AE1 K - SH AH0 - N AH0 L +FRACTIONALLY F R AE1 K - SH AH0 N - AH0 L - IY0 +FRACTIONALLY(2) F R AE1 K SH - N AH0 - L IY0 +FRACTIONS F R AE1 K - SH AH0 N Z +FRACTIOUS F R AE1 K - SH AH0 S +FRACTIOUSNESS F R AE1 K - SH AH0 S - N AH0 S +FRACTURE F R AE1 K - CH ER0 +FRACTURE(2) F R AE1 K - SH ER0 +FRACTURED F R AE1 K - CH ER0 D +FRACTURES F R AE1 K - CH ER0 Z +FRACTURES(2) F R AE1 K - SH ER0 Z +FRACTURING F R AE1 K - CH ER0 - IH0 NG +FRADETTE F R AH0 - D EH1 T +FRADKIN F R AE1 D - K IH0 N +FRADY F R EY1 - D IY0 +FRAGA F R AA1 - G AH0 +FRAGALE F R AA0 - G AA1 - L IY0 +FRAGER F R EY1 - G ER0 +FRAGILE F R AE1 - JH AH0 L +FRAGILITY F R AH0 - JH IH1 - L AH0 - T IY0 +FRAGMENT F R AE1 G - M AH0 N T +FRAGMENTARY F R AE1 G - M AH0 N - T EH2 - R IY0 +FRAGMENTATION F R AE2 G - M AH0 N - T EY1 - SH AH0 N +FRAGMENTED F R AE1 G - M AH0 N - T IH0 D +FRAGMENTED(2) F R AE1 G - M AH0 - N IH0 D +FRAGMENTING F R AE1 G - M AH0 N - T IH0 NG +FRAGMENTING(2) F R AE1 G - M AH0 - N IH0 NG +FRAGMENTS F R AE1 G - M AH0 N T S +FRAGO F R EY1 - G OW0 +FRAGONARD F R AE1 - G AH0 - N ER0 D +FRAGONARD(2) F R AE1 - G AH0 - N AA0 R D +FRAGOSO F R AA0 - G OW1 - S OW0 +FRAGRANCE F R EY1 - G R AH0 N S +FRAGRANCES F R EY1 - G R AH0 N - S AH0 Z +FRAGRANCES(2) F R EY1 - G R AH0 N - S IH0 Z +FRAGRANT F R EY1 - G R AH0 N T +FRAHER F R AA1 - ER0 +FRAHM F R AE1 M +FRAIL F R EY1 L +FRAILEY F R EY1 - L IY0 +FRAILTIES F R EY1 L - T IY0 Z +FRAILTY F R EY1 L - T IY0 +FRAIM F R EY1 M +FRAIN F R EY1 N +FRAINE F R EY1 N +FRAIOLI F R AY0 - OW1 - L IY0 +FRAIRE F R EH1 R +FRAISER F R EY1 - ZH ER0 +FRAIZER F R EY1 - ZH ER0 +FRAKER F R EY1 - K ER0 +FRAKES F R EY1 K S +FRALEIGH F R EY1 - L IY0 +FRALEY F R EY1 - L IY0 +FRALICK F R AE1 - L IH0 K +FRALIN F R AE1 - L IH0 N +FRALIX F R AE1 - L IH0 K S +FRAM F R AE1 M +FRAMATOME F R AE1 - M AH0 - T OW2 M +FRAME F R EY1 M +FRAMED F R EY1 M D +FRAMER F R EY1 - M ER0 +FRAMERS F R EY1 - M ER0 Z +FRAMERS' F R AE1 - M ER0 Z +FRAMES F R EY1 M Z +FRAMEWORK F R EY1 M - W ER2 K +FRAMING F R EY1 - M IH0 NG +FRAMINGHAM F R EY1 - M IH0 NG - HH AE2 M +FRAMPTON F R AE1 M P - T AH0 N +FRAN F R AE1 N +FRANA F R AE1 - N AH0 +FRANC F R AE1 NG K +FRANC'S F R AE1 NG K S +FRANCA F R AE1 NG - K AH0 +FRANCAIS F R AA0 N - S EY1 +FRANCAISE F R AA0 N - S EH1 Z +FRANCAISES F R AA0 N - S EH1 Z +FRANCAVILLA F R AA0 N - K AA0 - V IH1 - L AH0 +FRANCE F R AE1 N S +FRANCE'S F R AE1 N - S IH0 Z +FRANCEK F R AE1 N - CH EH2 K +FRANCES F R AE1 N - S IH0 S +FRANCESCA F R AE0 N - CH EH1 - S K AH0 +FRANCESCHI F R AA0 N - CH EH1 S - K IY0 +FRANCESCHINI F R AA0 N - CH EH0 S - K IY1 - N IY0 +FRANCESCO F R AE0 N - CH EH1 - S K OW0 +FRANCESCO'S F R AE0 N - CH EH1 - S K OW0 Z +FRANCESCONI F R AA0 N - CH EH0 - S K OW1 - N IY0 +FRANCESE F R AA0 N - CH EY1 - Z IY0 +FRANCESMARY F R AE2 N - S AH0 - S M EH1 - R IY0 +FRANCHI F R AA1 N - K IY0 +FRANCHIK F R AE1 N - CH IH0 K +FRANCHINI F R AA0 N - K IY1 - N IY0 +FRANCHINO F R AA0 N - K IY1 - N OW0 +FRANCHISE F R AE1 N - CH AY2 Z +FRANCHISE'S F R AE1 N - CH AY2 - Z IH0 Z +FRANCHISED F R AE1 N - CH AY0 Z D +FRANCHISEE F R AE1 N - CH AY2 - Z IY1 +FRANCHISEES F R AE2 N - CH AY0 - Z IY1 Z +FRANCHISEES' F R AE2 N - CH AY0 - Z IY1 Z +FRANCHISER F R AE1 N - CH AY2 - Z ER0 +FRANCHISERS F R AE1 N - CH AY2 - Z ER0 Z +FRANCHISES F R AE1 N - CH AY2 - Z IH0 Z +FRANCHISING F R AE1 N - CH AY0 - Z IH0 NG +FRANCHOT F R AE1 N - K AH0 T +FRANCIA F R AA1 N - CH AH0 +FRANCIE F R AE1 NG - K IY0 +FRANCIES F R AH0 N - S IY1 Z +FRANCINE F R AE0 N - S IY1 N +FRANCINE'S F R AE0 N - S IY1 N Z +FRANCINES F R AE0 N - S IY1 N Z +FRANCIS F R AE1 N - S AH0 S +FRANCIS' F R AE1 N - S AH0 S +FRANCIS'(2) F R AE1 N - S IH0 S +FRANCIS(2) F R AE1 N - S IH0 S +FRANCISCAN F R AE0 N - S IH1 - S K AH0 N +FRANCISCANS F R AE0 N - S IH1 - S K AH0 N Z +FRANCISCO F R AE0 N - S IH1 - S K OW0 +FRANCISCO'S F R AE0 N - S IH1 - S K OW0 Z +FRANCISO F R AE0 N - S IY1 - S OW0 +FRANCISVILLE F R AE1 N - S IH0 - S V IH2 L +FRANCK F R AE1 NG K +FRANCKE F R AE1 NG K +FRANCKLIN F R AE1 NG - K L IH0 N +FRANCKLYN F R AE1 NG - K L IH0 N +FRANCKOWIAK F R AH0 N - S K AW1 - IY0 - AE0 K +FRANCO F R AE1 NG - K OW0 +FRANCO'S F R AE1 NG - K OW0 Z +FRANCOEUR F R AH0 N - K ER1 +FRANCOIS F R AA0 N - S W AA1 +FRANCOISE F R AE0 N - S W AA1 Z +FRANCOISE(2) F R AE0 N - S W AA1 +FRANCOM F R AE1 NG - K AA0 M +FRANCOPHILE F R AE1 NG - K AH0 - F AY2 L +FRANCORP F R AE1 N - K AO2 R P +FRANCS F R AE1 NG K S +FRANCY F R AE1 N - S IY0 +FRANCYNE F R AE1 N - S AY2 N +FRANCZAK F R AE1 N - CH AE0 K +FRANDSEN F R AE1 N D - S AH0 N +FRANE F R EY1 N +FRANEK F R AE1 - N IH0 K +FRANEY F R EY1 - N IY0 +FRANGOS F R AE1 NG - G OW0 Z +FRANJO F R AE1 N - JH OW0 +FRANK F R AE1 NG K +FRANK'S F R AE1 NG K S +FRANKE F R AE1 NG K +FRANKED F R AE1 NG K T +FRANKEL F R AE1 NG - K AH0 L +FRANKEN F R AE1 NG - K AH0 N +FRANKENBERG F R AE1 NG - K AH0 N - B ER0 G +FRANKENBERGER F R AE1 NG - K AH0 N - B ER0 - G ER0 +FRANKENBERRY F R AE1 NG - K AH0 N - B EH2 - R IY0 +FRANKENFIELD F R AE1 NG - K AH0 N - F IY2 L D +FRANKENHEIMER F R AE1 NG - K AH0 N - HH AY2 - M ER0 +FRANKENSTEIN F R AE1 NG - K AH0 N - S T AY2 N +FRANKENSTEIN'S F R AE1 NG - K AH0 N - S T AY2 N Z +FRANKENSTEIN'S(2) F R AE1 NG - K AH0 N - S T IY2 N Z +FRANKENSTEIN(2) F R AE1 NG - K AH0 N - S T IY2 N +FRANKFORT F R AE1 NG K - F ER0 T +FRANKFORT'S F R AE1 NG K - F ER0 T S +FRANKFURT F R AE1 NG K - F ER0 T +FRANKFURT'S F R AE1 NG K - F ER0 T S +FRANKFURTER F R AE1 NG K - F ER0 - T ER0 +FRANKFURTERS F R AE1 NG K - F ER0 - T ER0 Z +FRANKHOUSER F R AE1 NG K - HH AW2 - S ER0 +FRANKIE F R AE1 NG - K IY0 +FRANKIEWICZ F R AE1 N - K AH0 - V IH0 CH +FRANKINCENSE F R AE1 NG - K AH0 N - S EH2 N S +FRANKING F R AE1 NG - K IH0 NG +FRANKINO F R AE0 NG - K IY1 - N OW0 +FRANKISH F R AE1 NG - K IH0 SH +FRANKL F R AE1 NG - K AH0 L +FRANKLAND F R AE1 NG - K L AH0 N D +FRANKLIN F R AE1 NG - K L IH0 N +FRANKLIN'S F R AE1 NG - K L AH0 N Z +FRANKLINITE F R AE1 NG - K L IH0 - N AY2 T +FRANKLINVILLE F R AE1 NG - K L IH0 N - V IH0 L +FRANKLY F R AE1 NG - K L IY0 +FRANKLYN F R AE1 NG - K L IH0 N +FRANKNESS F R AE1 NG K - N AH0 S +FRANKO F R AE1 NG - K OW0 +FRANKOVICH F R AE1 NG - K AH0 - V IH0 CH +FRANKOWSKI F R AH0 NG - K AO1 F S - K IY0 +FRANKS F R AE1 NG K S +FRANKSON F R AE1 NG K - S AH0 N +FRANKUM F R AE1 NG - K AH0 M +FRANNIE F R AE1 - N IY0 +FRANNY F R AE1 - N IY0 +FRANS F R AE1 N Z +FRANSEN F R AE1 N - S AH0 N +FRANSON F R AE1 N - S AH0 N +FRANSSEN F R AE1 N - S AH0 N +FRANTA F R AE1 N - T AH0 +FRANTIC F R AE1 N - T IH0 K +FRANTICALLY F R AE1 N - T AH0 - K AH0 - L IY0 +FRANTICALLY(2) F R AE1 N - T AH0 K - L IY0 +FRANTICALLY(3) F R AE1 - N AH0 - K AH0 - L IY0 +FRANTICALLY(4) F R AE1 - N AH0 K - L IY0 +FRANTOM F R AE1 N - T AH0 M +FRANTZ F R AE1 N T S +FRANTZEN F R AE1 N T - Z AH0 N +FRANYO F R AA1 - N Y OW0 +FRANZ F R AE1 N Z +FRANZE F R AE1 N Z +FRANZEL F R AE1 N - Z AH0 L +FRANZEN F R AE1 N - Z AH0 N +FRANZESE F R AA0 N - Z EY1 - Z IY0 +FRANZONE F R AA0 N - Z OW1 - N IY0 +FRANZONI F R AA0 N - Z OW1 - N IY0 +FRAP F R AE1 P +FRAPH F R AE1 F +FRAPH'S F R AE1 F S +FRAPPIER F R AE1 - P IY0 - ER0 +FRARY F R EH1 - R IY0 +FRASCA F R AA1 S - K AH0 +FRASCELLA F R AA0 S - CH EH1 - L AH0 +FRASCH F R AE1 SH +FRASCO F R AA1 - S K OW0 +FRASE F R EY1 Z +FRASER F R EY1 - Z ER0 +FRASER'S F R EY1 - Z ER0 Z +FRASHER F R AE1 - SH ER0 +FRASHIER F R EY1 - ZH Y ER0 +FRASIER F R EY1 - ZH ER0 +FRASIER'S F R EY1 - ZH ER0 Z +FRASURE F R AA1 - ZH ER0 +FRATANGELO F R AA0 - T AA0 NG - G EH1 - L OW0 +FRATE F R EY1 T +FRATER F R EY1 - T ER0 +FRATERNAL F R AH0 - T ER1 - N AH0 L +FRATERNITIES F R AH0 - T ER1 - N AH0 - T IY0 Z +FRATERNITY F R AH0 - T ER1 - N AH0 - T IY0 +FRATERNITY(2) F R AH0 - T ER1 - N IH0 - T IY0 +FRATERNIZE F R AE1 - T ER0 - N AY2 Z +FRATERNIZING F R AE1 - T ER0 - N AY2 - Z IH0 NG +FRATES F R EY1 T S +FRATRICIDE F R AE1 - T R AH0 - S AY2 D +FRATRICIDES F R AE1 - T R AH0 - S AY2 D Z +FRATUS F R AE1 - T IH0 S +FRATZKE F R AE1 T S K +FRATZKE(2) F R AE1 T - S K IY0 +FRAU F R AW1 +FRAUD F R AO1 D +FRAUDS F R AO1 D Z +FRAUDSTER F R AO1 D - S T ER0 +FRAUDSTER'S F R AO1 D - S T ER0 Z +FRAUDSTERS F R AO1 D - S T ER0 Z +FRAUDULENT F R AO1 - JH AH0 - L AH0 N T +FRAUDULENTLY F R AO1 - D UW0 - L AH0 N T - L IY0 +FRAUGHT F R AO1 T +FRAUM F R AW1 M +FRAUM(2) F R AA1 M +FRAUSTO F R AO1 - S T OW0 +FRAVEL F R AE1 - V AH0 L +FRAWLEY F R AO1 - L IY0 +FRAY F R EY1 +FRAYED F R EY1 D +FRAYER F R EY1 - ER0 +FRAYING F R EY1 - IH0 NG +FRAYN F R EY1 N +FRAYNE F R EY1 N +FRAZE F R EY1 Z +FRAZEE F R AH0 - Z IY1 +FRAZER F R EY1 - Z ER0 +FRAZIER F R EY1 - ZH ER0 +FRAZZANO F R AH0 - Z AA1 - N OW0 +FRAZZINI F R AA0 T - S IY1 - N IY0 +FRAZZLE F R AE1 - Z AH0 L +FRAZZLED F R AE1 - Z AH0 L D +FREAD F R EH1 D +FREAK F R IY1 K +FREAKED F R IY1 K T +FREAKING F R IY1 - K IH0 NG +FREAKS F R IY1 K S +FREAKY F R IY1 - K IY0 +FREAN F R IY1 N +FREAR F R IH1 R +FREARS F R IY1 R Z +FREAS F R IY1 Z +FREASE F R IY1 Z +FREBERG F R IY1 - B ER0 G +FRECH F R EH1 K +FRECHETTE F R IH0 - SH EH1 T +FRECK F R EH1 K +FRECKLE F R EH1 - K AH0 L +FRECKLED F R EH1 - K AH0 L D +FRECKLES F R EH1 - K AH0 L Z +FRED F R EH1 D +FRED'S F R EH1 D Z +FREDA F R EH1 D +FREDDIE F R EH1 - D IY0 +FREDDY F R EH1 - D IY0 +FREDDY'S F R EH1 - D IY0 Z +FREDDYE F R EH1 - D IY0 +FREDE F R IY1 D +FREDELL F R EH1 - D AH0 L +FREDELLA F R EH0 - D EH1 - L AH0 +FREDENBURG F R IY1 - D AH0 N - B ER0 G +FREDERIC F R EH1 D - R IH0 K +FREDERICA F R EH2 - 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L AA2 JH +FUSELAGE(2) F Y UW1 - S AH0 - L IH0 JH +FUSELAGES F Y UW1 - S AH0 - L AA0 - JH IH0 Z +FUSELAGES(3) F Y UW1 - S AH0 - L IH0 - JH IH0 Z +FUSELIER F Y UW1 S - L IY0 - ER0 +FUSES F Y UW1 - Z AH0 Z +FUSES(2) F Y UW1 - Z IH0 Z +FUSIBLE F Y UW1 - Z AH0 - B AH0 L +FUSILLADE F Y UW1 - S IH0 - L EY2 D +FUSILLI F Y UW0 - S IH1 - L IY0 +FUSING F Y UW1 - Z IH0 NG +FUSION F Y UW1 - ZH AH0 N +FUSON F UW1 - S AH0 N +FUSS F AH1 S +FUSSED F AH1 S T +FUSSELL F AH1 - S AH0 L +FUSSELMAN F AH1 - S AH0 L - M AH0 N +FUSSES F AH1 - S IH0 Z +FUSSING F AH1 - S IH0 NG +FUSSNER F AH1 S - N ER0 +FUSSY F AH1 - S IY0 +FUST F AH1 S T +FUSTAT F AH1 - S T AE0 T +FUSTOK F AH1 - S T AA0 K +FUSTON F AH1 - S T AH0 N +FUTCH F AH1 CH +FUTHER F AH1 - DH ER0 +FUTILE F Y UW1 - T AH0 L +FUTILITY F Y UW0 - T IH1 - L AH0 - T IY0 +FUTRAL F AH1 - T R AH0 L +FUTRELL F Y UW0 - T R EH1 L +FUTTERMAN F AH1 - T ER0 - M AH0 N +FUTURE F Y UW1 - CH ER0 +FUTURE'S F Y UW1 - CH ER0 Z +FUTURES F Y UW1 - CH ER0 Z +FUTURES' F Y UW1 - CH ER0 Z +FUTURISM F Y UW1 - CH ER0 - IH2 - Z AH0 M +FUTURIST F Y UW1 - CH ER0 - IH0 S T +FUTURISTIC F Y UW2 - CH ER0 - IH1 - S T IH0 K +FUTURISTS F Y UW1 - CH ER0 - IH0 S T S +FUTURISTS(2) F Y UW1 - CH ER0 - IH0 S S +FUTURISTS(3) F Y UW1 - CH ER0 - IH0 S +FUZES F Y UW1 - Z IH0 Z +FUZZ F AH1 Z +FUZZIER F AH1 - Z IY0 - ER0 +FUZZY F AH1 - Z IY0 +FYE F AY1 +FYFE F AY1 F +FYFFE F AY1 F +FYFFES F IH1 F S +FYFFES(2) F AY1 F S +FYKE F AY1 K +FYOCK F Y AA1 K +FYODOR F Y OW1 - D ER0 +FYODOR'S F Y OW1 - D ER0 Z +FYODOROV F Y OW1 - D ER0 - AO2 V +FYODOROV'S F Y OW1 - D ER0 - AO2 V Z +G JH IY1 +G'S JH IY1 Z +G'VANNI'S JH IY2 - OW0 - V AA1 - N IY0 Z +G. JH IY1 +G.'S JH IY1 Z +G.S JH IY1 Z +GA G AA1 +GA(2) JH IY1 - EY1 +GA(3) JH AO1 R - JH AH0 +GAAL G AA1 L +GAAR G AA1 R +GAARDER G AA1 R - D ER0 +GAB G AE1 B +GABA G AA1 - B AH0 +GABALDON G AA0 - B AA0 L - D AO1 N +GABARDINE G AE1 - B ER0 - D IY2 N +GABARDINES G AE1 - B ER0 - D IY2 N Z +GABAY G AE1 - B EY0 +GABBARD G AH0 - B AA1 R D +GABBERT G AE1 - B ER0 T +GABBING G AE1 - B IH0 NG +GABBRO G AE1 - B R OW0 +GABBROIC G AE0 - B R OW1 - IH0 K +GABBY G AE1 - B IY0 +GABE G EY1 B +GABEHART G EY1 B - HH AA2 R T +GABEL G AH0 - B EH1 L +GABELE G AH0 - B EH1 - L EY0 +GABELLI G AH0 - B EH1 - L IY0 +GABER G EY1 - B ER0 +GABERT G AE1 - B ER0 T +GABHART G AE1 B - HH AA2 R T +GABIE G AE1 - B IY0 +GABLE G EY1 - B AH0 L +GABLER G EY1 - B AH0 L - ER0 +GABLER(2) G EY1 - B L ER0 +GABLES G EY1 - B AH0 L Z +GABON G AH0 - B AA1 N +GABOR G AH0 - B AO1 R +GABORIAULT G AE1 - B ER0 - IY0 - OW0 +GABOURY G AE1 - B UH0 - R IY0 +GABRALL G EY1 - B R AH0 L +GABRALL'S G EY1 - B R AH0 L Z +GABRIEL G EY1 - B R IY0 - AH0 L +GABRIEL'S G EY1 - B R IY0 - AH0 L Z +GABRIELA G AA0 - B R IY0 - EH1 - L AH0 +GABRIELE G AA0 - B R IY0 - EH1 L +GABRIELLA G AA0 - B R IY0 - EH1 - L AH0 +GABRIELLE G AE1 - B R IY0 - EH0 L +GABRIELLI G AA0 - B R IY0 - EH1 - L IY0 +GABRIELSEN G AE1 - B R IY0 L - S AH0 N +GABRIELSEN(2) G EY1 - B R IY0 - EH0 L - S AH0 N +GABRIELSON G AE1 - B R IY0 L - S AH0 N +GABRIELSON(2) G EY1 - B R IY0 - EH0 L - S AH0 N +GABROWNY G AH0 - B R AW1 - N IY0 +GABRYS G AE1 - B ER0 - IY0 Z +GABY G AE1 - B IY0 +GACCIONE G AA0 K - CH OW1 - N IY0 +GACEK G AA1 - CH EH2 K +GACH G AE1 CH +GACY G EY1 - S IY0 +GACY'S G EY1 - S IY0 Z +GAD G AE1 D +GADBERRY G AE1 D - B EH2 - R IY0 +GADBOIS G AE1 D - B W AA2 +GADD G AE1 D +GADDIE G AE1 - D IY0 +GADDING G AE1 - D IH0 NG +GADDIS G AE1 - D IH0 S +GADDUM G AE1 - D AH0 M +GADDY G AE1 - D IY0 +GADE G EY1 D +GADFLIES G AE1 D - F L AY2 Z +GADFLY G AE1 D - F L AY2 +GADGET G AE1 - JH AH0 T +GADGETRY G AE1 - JH AH0 - T R IY0 +GADGETS G AE1 - JH AH0 T S +GADHAFI G AH0 - D AA1 - F IY0 +GADHAFI'S G AH0 - D AA1 - F IY0 Z +GADHAFI'S(2) G AH0 D - HH AA1 - F IY0 Z +GADHAFI(2) G AH0 D - HH AA1 - F IY0 +GADOMSKI G AH0 - D AA1 M S - K IY0 +GADOURY G AE1 - D UH0 - R IY0 +GADS G AE1 D Z +GADSBY G AE1 D Z - B IY0 +GADSDEN G AE1 D Z - D AH0 N +GADSON G AE1 D - S AH0 N +GADWAY G AE1 D - W EY2 +GADZINSKI G AH0 - JH IH1 N - S K IY0 +GAE G AY1 +GAEA G IY1 - AH0 +GAEBEL G EH1 - B AH0 L +GAEDE G IY1 D +GAEL G EY1 L +GAELIC G EY1 - L IH0 K +GAERTNER G EH1 R T - N ER0 +GAETA G IY1 - T AH0 +GAETANO G AY0 - T AA1 - N OW0 +GAETH G IY1 TH +GAETZ G IY1 T S +GAF G AE1 F +GAFF G AE1 F +GAFFE G AE1 F +GAFFES G AE1 F S +GAFFEY G AE1 - F IY0 +GAFFIN G AE1 - F IH0 N +GAFFNEY G AE1 F - N IY0 +GAFFORD G AE1 - F ER0 D +GAG G AE1 G +GAGAN G EY1 - G AH0 N +GAGARIN G AH0 - G AE1 - R AH0 N +GAGE G EY1 JH +GAGEL G AE1 - G AH0 L +GAGEN G AE1 - G AH0 N +GAGER G EY1 - G ER0 +GAGGED G AE1 G D +GAGGLE G AE1 - G AH0 L +GAGLIANO G AA0 - G L IY0 - AA1 - N OW0 +GAGLIANO(2) G AE0 G - L IY0 - AA1 - N OW0 +GAGLIARDI G AA0 - G L IY0 - AA1 R - D IY0 +GAGLIARDI(2) G AE0 G - L IY0 - AA1 R - D IY0 +GAGLIARDO G AA0 - G L IY0 - AA1 R - D OW0 +GAGLIARDO(2) G AE0 G - L IY0 - AA1 R - D OW0 +GAGLIO G AE1 G - L IY0 - OW0 +GAGLIONE G AA0 - G L IY0 - OW1 - N IY0 +GAGLIONE(2) G AE0 G - L IY0 - OW1 - N IY0 +GAGNE G EY1 - N IY0 +GAGNE(2) G AE1 G - N IY0 +GAGNER G AE1 G - N ER0 +GAGNIER G AE1 G - N IY0 - ER0 +GAGNON G AE1 - N Y AH0 N +GAGS G AE1 G Z +GAHAGAN G AA0 - HH AA1 - G AA0 N +GAHAN G AE1 - HH AH0 N +GAHLI G AA1 - L IY0 +GAHM G AE1 M +GAHN G AE1 N +GAHR G AA1 R +GAIA G AY1 - AH0 +GAIDAR G AY1 - D AA2 R +GAIDAR'S G AY1 - D AA2 R Z +GAIER G EY1 - ER0 +GAIGE G EY1 JH +GAIL G EY1 L +GAIL'S G EY1 L Z +GAILE G EY1 L +GAILEY G EY1 - L IY0 +GAILLARD G EY1 - L ER0 D +GAILY G EY1 - L IY0 +GAIN G EY1 N +GAINED G EY1 N D +GAINER G EY1 - N ER0 +GAINERS G EY1 - N ER0 Z +GAINES G EY1 N Z +GAINESVILLE G EY1 N Z - V IH2 L +GAINEY G EY1 - N IY0 +GAINFUL G EY1 N - F AH0 L +GAINFULLY G EY1 N - F AH0 - L IY0 +GAINING G EY1 - N IH0 NG +GAINOR G EY1 - N ER0 +GAINOUS G EY1 - N AH0 S +GAINS G EY1 N Z +GAINSAY G EY1 N - S EY2 +GAINSBORO G EY1 N Z - B ER0 - OW0 +GAINSCO G EY1 N - S K OW0 +GAIR G EH1 R +GAISER G EY1 - Z ER0 +GAIT G EY1 T +GAITAN G AY2 - T AA1 N +GAITER G EY1 - T ER0 +GAITHER G EY1 - TH ER0 +GAITHERSBURG G EY1 - TH ER0 Z - B ER0 G +GAITSKILL G EY1 T - S K IH1 L +GAJDA G AY1 - D AH0 +GAJEWSKI G AY0 - EH1 F S - K IY0 +GAL G AE1 L +GALA G AE1 - L AH0 +GALA(2) G EY1 - L AH0 +GALACTIC G AH0 - L AE1 K - T IH0 K +GALACTOSE G AH0 - L AE1 K - T OW0 S +GALAHAD G AE1 - L AH0 - HH AE2 D +GALAMBOS G AA0 - L AA1 M - B OW0 Z +GALAN G EY1 - L AH0 N +GALANE G AH0 - L EY1 N +GALANG G AE1 - L AH0 NG +GALANIS G AH0 - L AA1 - N IH0 S +GALANT G AA1 - L AH0 N T +GALANTE G AA0 - L AA1 N - T IY0 +GALANTER G AH0 - L AE1 N - T ER0 +GALANTI G AH0 - L AE1 N - T IY0 +GALAPAGOS G AH0 - L AA1 - P AH0 - G OW0 Z +GALARNEAU G AE1 - L AA0 R - N OW2 +GALARZA G AH0 - L AA1 R - Z AH0 +GALAS G EY1 - L AH0 Z +GALASIE G AE1 - L AH0 - S IY0 +GALASSI G AA0 - L AA1 - S IY0 +GALASSO G AA0 - L AA1 - S OW0 +GALATAS G AA0 - L AA1 - T AA0 Z +GALATEA G AE2 - L AH0 - T IY1 - AH0 +GALATI G AA0 - L AA1 - T IY0 +GALAVIZ G AE1 - L AH0 - V IH0 Z +GALAX G AE1 - L AE2 K S +GALAXIES G AE1 - L AH0 K - S IY0 Z +GALAXY G AE1 - L AH0 K - S IY0 +GALAXY'S G AE1 - L AH0 K - S IY0 Z +GALBAN G AE1 L - B AH0 N +GALBO G AE1 L - B OW0 +GALBRAITH G AE1 L - B R EY2 TH +GALBREATH G AE1 L - B R EH2 TH +GALE G EY1 L +GALE'S G EY1 L Z +GALEA G EY1 - L IY0 - AH0 +GALEANO G AA0 - L IY1 - N OW0 +GALEB G AE1 - L AH0 B +GALEB(2) G EY1 - L AH0 B +GALEBS G AE1 - L AH0 B Z +GALEBS(2) G EY1 - L AH0 B Z +GALEF G AE1 - L AH0 F +GALEN G EY1 - L AH0 N +GALEN'S G EY1 - L AH0 N Z +GALENA G AH0 - L IY1 - N AH0 +GALENICAL G AH0 - L EH1 - N IH0 - K AH0 L +GALENTINE G AA0 - L EH0 N - T IY1 - N IY0 +GALER G EY1 - L ER0 +GALERIA G AE2 - L ER0 - IY1 - AH0 +GALERIAS G AE2 - L ER0 - IY1 - AH0 Z +GALERIES G AE1 - L ER0 - IY0 Z +GALERNTER G AH0 - L ER1 N - T ER0 +GALES G EY1 L Z +GALESBURG G EY1 L Z - B ER0 G +GALESI G AH0 - L EH1 - S IY0 +GALEY G EY1 - L IY0 +GALFORD G AE1 L - F ER0 D +GALGANO G AA0 L - G AA1 - N OW0 +GALI G AA1 - L IY0 +GALI'S G AA1 - L IY0 Z +GALIANO G AA0 - L IY0 - AA1 - N OW0 +GALICIA G AH0 - L IH1 - SH IY0 - AH0 +GALIE G EY1 - L IY0 +GALIENA G AA0 - L IY1 - N AH0 +GALIK G AE1 - L IH0 K +GALILEAN G AE2 - L AH0 - L IY1 - AH0 N +GALILEE G AE1 - L AH0 - L IY2 +GALILEO G AE2 - L AH0 - L IY1 - OW0 +GALILEO'S G AE2 - L AH0 - L IY1 - OW0 Z +GALILEO'S(2) G AE2 - L AH0 - L EY1 - OW0 Z +GALILEO(2) G AE2 - L AH0 - L EY1 - OW0 +GALIN G AE1 - L IH0 N +GALINDO G AA0 - L IY1 N - D OW0 +GALINSKI G AH0 - L IH1 N - S K IY0 +GALINSKY G AH0 - L IH1 N - S K IY0 +GALIOTO G AA0 - L IY0 - OW1 - T OW0 +GALIPAULT G AE1 - L IH0 - P AO2 L T +GALIPAULT(2) G AE1 - L IH0 - P OW2 +GALIPEAU G AE1 - L IH0 - P OW2 +GALITSIN G AH0 - L IH1 T - S IH0 N +GALKA G AE1 L - K AH0 +GALL G AO1 L +GALLA G AE1 - L AH0 +GALLACHER G AE1 - L AH0 - K ER0 +GALLAGER G AO1 - L IH0 - JH ER0 +GALLAGHER G AE1 - L AH0 - G ER0 +GALLAHAN G AE1 - L AH0 - HH AE0 N +GALLAHER G AE1 - L AH0 - HH ER0 +GALLAMORE G AA0 - L AA1 - M AO0 R +GALLAND G AE1 - L AH0 N D +GALLANT G AE1 - L AH0 N T +GALLANTRY G AE1 - L AH0 N - T R IY0 +GALLARD G AH0 - L AA1 R D +GALLARDO G AA0 - L AA1 R - D OW0 +GALLAS G AE1 - L AH0 Z +GALLATIN G AE1 - L AH0 - T IH0 N +GALLAUDET G AE1 - L AH0 - D EH0 T +GALLAWAY G AO1 L - AH0 - W EY2 +GALLBLADDER G AO1 L - B L AE2 - D ER0 +GALLE G EY1 L +GALLE(2) G AE2 - L EY1 +GALLEGO G AA0 - L EH1 - G OW0 +GALLEGOS G AE1 - L IH0 - G OW0 Z +GALLEMORE G AA0 - L EH1 - M AO0 R +GALLEN G AO1 - L AH0 N +GALLENTINE G AA0 - L EH0 N - T IY1 - N IY0 +GALLEON G AE1 - L IY0 - AH0 N +GALLEONS G AE1 - L IY0 - AH0 N Z +GALLER G AO1 - L ER0 +GALLERANI G AA0 - L ER0 - AA1 - N IY0 +GALLERIA G AE2 - L ER0 - IY1 - AH0 +GALLERIES G AE1 - L ER0 - IY0 Z +GALLERY G AE1 - L ER0 - IY0 +GALLERY'S G AE1 - L ER0 - IY0 Z +GALLES G EY1 L Z +GALLET G AE1 - L IH0 T +GALLETTI G AA0 - L EH1 - T IY0 +GALLEY G AE1 - L IY0 +GALLEYS G AE1 - L IY0 Z +GALLI G AE1 - L IY0 +GALLIA G AE1 - L Y AH0 +GALLIANO G AA0 - L IY0 - AA1 - N OW0 +GALLIC G AE1 - L IH0 K +GALLICK G AE1 - L IH0 K +GALLIEN G AH0 - L IY1 N +GALLIER G AE1 - L IY0 - ER0 +GALLIGAN G AE1 - L IH0 - G AH0 N +GALLIHER G AE1 - L IH0 - HH ER0 +GALLIK G AE1 - L IH0 K +GALLIMARD G AE1 - L IH0 - M ER0 D +GALLIMORE G AA0 - L IY1 - M AO0 R +GALLINA G AA0 - L IY1 - N AH0 +GALLING G AO1 - L IH0 NG +GALLINGER G AO1 - L IH0 - NG ER0 +GALLINSKY G AH0 - L IH1 N - S K IY0 +GALLION G AE1 - L Y AH0 N +GALLIUM G AE1 - L IY0 - AH0 M +GALLIVAN G AE1 - L IH0 - V AH0 N +GALLMAN G AO1 L - M AH0 N +GALLO G AE1 - L OW0 +GALLO'S G AE1 - L OW0 Z +GALLOGLY G AE1 - L AH0 G - L IY0 +GALLON G AE1 - L AH0 N +GALLONS G AE1 - L AH0 N Z +GALLOON G AH0 - L UW1 N +GALLOP G AE1 - L AH0 P +GALLOPED G AE1 - L AH0 P T +GALLOPING G AE1 - L AH0 - P IH0 NG +GALLOS G AE1 - L OW0 Z +GALLOW G AE1 - L OW0 +GALLOWAY G AE1 - L OW0 - W EY2 +GALLOWAYS G AE1 L - OW0 - W EY2 Z +GALLOWS G AE1 - L OW0 Z +GALLS G AO1 L Z +GALLSTONE G AO1 L - S T OW2 N +GALLSTONES G AA1 L - S T OW2 N Z +GALLSTONES(2) G AO1 L - S T OW2 N Z +GALLUCCI G AA0 - L UW1 - CH IY0 +GALLUCCIO G AA0 - L UW1 - CH IY0 - OW0 +GALLUP G AE1 - L AH0 P +GALLUS G AE1 - L AH0 S +GALLUZZO G AA0 - L UW1 - Z OW0 +GALLWAY G AO1 L - W EY2 +GALOOB G AH0 - L UW1 B +GALOOB'S G AH0 - L UW1 B Z +GALORE G AH0 - L AO1 R +GALOSH G AH0 - L AA1 SH +GALOSHES G AH0 - L AA1 - SH AH0 Z +GALOSHES(2) G AH0 - L AA1 - SH IH0 Z +GALOTTI G AH0 - L AA1 - T IY0 +GALPIN G AE1 L - P IH0 N +GALS G AE1 L Z +GALSTER G AE1 L - S T ER0 +GALSWORTHY G AE1 L Z - W ER2 - DH IY0 +GALT G AO1 L T +GALTON G AE1 L - T AH0 N +GALUDET G AE2 L - Y UW0 - D EH1 T +GALUS G AE1 - L IH0 S +GALUSHA G AE1 - L AH0 - SH AH0 +GALUSKA G AH0 - L AH1 - S K AH0 +GALVAN G AA0 L - V AA1 N +GALVANIC G AE0 L - V AE1 - N IH0 K +GALVANIZE G AE1 L - V AH0 - N AY2 Z +GALVANIZED G AE1 L - V AH0 - N AY2 Z D +GALVANIZES G AE1 L - V AH0 - N AY2 - Z AH0 Z +GALVANIZING G AE1 L - V AH0 - N AY2 - Z IH0 NG +GALVEN G AA1 L - V AH0 N +GALVESTON G AE1 L - V AH0 - S T AH0 N +GALVEZ G AA0 L - V EH1 Z +GALVIN G AE1 L - V IH0 N +GALVIN'S G AE1 L - V IH0 N Z +GALWAY G AA1 L - W EY0 +GALYEAN G AE1 - L IY0 - AH0 N +GALYEN G AE1 - L IY0 - EH0 N +GALYON G AE1 - L IY0 - AA0 N +GAMA G AA1 - M AH0 +GAMACHE G AA1 - M EY0 K +GAMAGE G AE1 - M IH0 JH +GAMAL G AH0 - M AA1 L +GAMBA G AE1 M - B AH0 +GAMBALE G AA0 M - B AA1 - L IY0 +GAMBARDELLA G AA0 M - B AA0 R - D EH1 - L AH0 +GAMBER G AE1 M - B ER0 +GAMBIA G AE1 M - B IY0 - AH0 +GAMBILL G AH0 M - B IH1 L +GAMBINO G AE0 M - B IY1 - N OW0 +GAMBIT G AE1 M - B IH0 T +GAMBITS G AE1 M - B AH0 T S +GAMBLE G AE1 M - B AH0 L +GAMBLE'S G AE1 M - B AH0 L Z +GAMBLED G AE1 M - B AH0 L D +GAMBLER G AE1 M - B L ER0 +GAMBLER'S G AE1 M - B L ER0 Z +GAMBLERS G AE1 M - B L ER0 Z +GAMBLES G AE1 M - B AH0 L Z +GAMBLIN G AE1 M - B L IH0 N +GAMBLING G AE1 M - B AH0 L - IH0 NG +GAMBLING'S G AE1 M - B L IH0 NG Z +GAMBLING(2) G AE1 M - B L IH0 NG +GAMBOA G AA0 M - B OW1 - AH0 +GAMBONE G AA1 M - B OW0 N +GAMBREL G AE1 M - B R AH0 L +GAMBRELL G AE1 M - B R AH0 L +GAMBRILL G AE1 M - B R IH0 L +GAMBRO G AE1 M - B R OW0 +GAMCO G AE1 M - K OW0 +GAME G EY1 M +GAME'S G EY1 M Z +GAMEL G AA1 - M AH0 L +GAMELIN G AE1 - M IH0 - L IH0 N +GAMELIN(2) G AE1 M - L IH0 N +GAMELLO G AH0 - M EH1 - L OW0 +GAMELY G EY1 M - L IY0 +GAMER G EY1 - M ER0 +GAMERS G EY1 - M ER0 Z +GAMES G EY1 M Z +GAMES' G EY1 M Z +GAMESHOW G EY1 M - SH OW2 +GAMESHOWS G EY1 M - SH OW2 Z +GAMESMANSHIP G EY1 M Z - M AH0 N - SH IH2 P +GAMET G AE1 - M IH0 T +GAMETANGIA G AE2 - M AH0 - T AE1 N - JH IY0 - AH0 +GAMETE G AE1 - M IY0 T +GAMETE(2) G AH0 - M IY1 T +GAMETOPHYTE G AH0 - M IY1 - T AH0 - F AY2 T +GAMEZ G AA0 - M EH1 Z +GAMING G EY1 - M IH0 NG +GAMING'S G EY1 - M IH0 NG Z +GAMINO G AA0 - M IY1 - N OW0 +GAMM G AE1 M +GAMMA G AE1 - M AH0 +GAMMAGE G AE1 - M IH0 JH +GAMMAL G AH0 - M AA1 L +GAMMEL G AE1 - M AH0 L +GAMMELL G AE1 - M AH0 L +GAMMILL G AE1 - M IH0 L +GAMMON G AE1 - M AH0 N +GAMMONS G AE1 - M AH0 N Z +GAMONS G AE1 - M AH0 N Z +GAMP G AE1 M P +GAMPER G AE1 M - P ER0 +GAMSAKHURDIA G AE0 M - S AH0 - K ER1 - D IY0 - AH0 +GAMSAKHURDIA(2) G AE0 M - S AH0 - K ER1 - D Y AH0 +GAMUNDE G AH0 - M UW1 N D +GAMUNDE'S G AH0 - M UW1 N D Z +GAMUT G AE1 - M AH0 T +GAN G AE1 N +GANAS G AE1 - N AH0 Z +GANATIEUGANAUF G AH0 - N EY1 - SH AH0 - G AE2 - N AH0 L F +GANAWAY G AE1 N - AH0 - W EY0 +GANCARZ G AA1 N - K AA0 R Z +GANCI G AE1 N - S IY0 +GANDA G AE1 N - D AH0 +GANDALF G AE1 N - D AO0 L F +GANDALF'S G AE1 N - D AO0 L F S +GANDARA G AA0 N - D AA1 - R AH0 +GANDEE G AE1 N - D IY0 +GANDER G AE1 N - D ER0 +GANDHI G AA1 N - D IY0 +GANDHI'S G AA1 N - D IY0 Z +GANDOLFI G AA0 N - D OW1 L - F IY0 +GANDOLFO G AA0 N - D OW1 L - F OW0 +GANDY G AE1 N - D IY0 +GANEM G AE1 - N IH0 M +GANES G EY1 N Z +GANEY G EY1 - N IY0 +GANG G AE1 NG +GANG'S G AE1 NG Z +GANGBANGER G AE1 NG - B AE0 NG - G ER0 +GANGBANGERS G AE1 NG - B AE0 NG - G ER0 Z +GANGBUSTER G AE1 NG - B AH2 - S T ER0 +GANGBUSTERS G AE1 NG - B AH2 - S T ER0 Z +GANGE G AE1 N JH +GANGEMI G AA0 NG - G EH1 - M IY0 +GANGER G AE1 NG - ER0 +GANGES G AE1 N - JH IY0 Z +GANGI G AE1 N - JH IY0 +GANGING G AE1 - NG IH0 NG +GANGL G AE1 NG - G AH0 L +GANGLIA G AE1 NG - G L IY0 - AH0 +GANGLIONIC G AE2 NG - G L IY0 - AA1 - N IH0 K +GANGLOFF G AE1 NG - G L AO0 F +GANGLY G AE1 NG - L IY0 +GANGPLANK G AE1 NG - P L AE2 NG K +GANGS G AE1 NG Z +GANGSTA G AE1 NG - S T AH0 +GANGSTER G AE1 NG - S T ER0 +GANGSTERS G AE1 NG - S T ER0 Z +GANGWER G AE1 NG - W ER0 +GANIC G AE1 - N IH0 K +GANIM G AE1 - N IH0 M +GANIS G AE1 - N IH0 S +GANLEY G AE1 N - L IY0 +GANN G AE1 N +GANNAWAY G AE1 N - AH0 - W EY0 +GANNETT G AE1 - N IH0 T +GANNETT'S G AE1 - N AH0 T S +GANNON G AE1 - N AH0 N +GANO G AA1 - N OW0 +GANOE G AE1 - N OW0 +GANONG G AE1 - N AO0 NG +GANS G AE1 N Z +GANSEN G AE1 N - S AH0 N +GANSER G AE1 N - S ER0 +GANSKE G AE1 N S K +GANSON G AE1 N - S AH0 N +GANSTER G AE1 N - S T ER0 +GANT G AE1 N T +GANTENBEIN G AE1 N - T IH0 N - B AY0 N +GANTER G AE1 N - T ER0 +GANTLET G AO1 N T - L AH0 T +GANTNER G AE1 N T - N ER0 +GANTOS G AE1 N - T OW0 S +GANTRY G AE1 N - T R IY0 +GANTT G AE1 N T +GANTZ G AE1 N T S +GANUS G EY1 - N IH0 S +GANYMEDE G AE1 - N AH0 - M IY2 D +GANZ G AE1 N Z +GANZEL G AE1 N - Z AH0 L +GANZER G AE1 N - Z ER0 +GAONA G AA0 - OW1 - N AH0 +GAP G AE1 P +GAP'S G AE1 P S +GAPE G EY1 P +GAPING G EY1 - P IH0 NG +GAPINSKI G AH0 - P IH1 N - S K IY0 +GAPP G AE1 P +GAPPA G AE1 - P AH0 +GAPS G AE1 P S +GAR G AA1 R +GARA G AE1 - R AH0 +GARABEDIAN G AE2 - R AH0 - B IY1 - D IY0 - AH0 N +GARAFALO G AA0 - R AA0 - F AA1 - L OW0 +GARAFOLA G AA0 - R AA0 - F OW1 - L AH0 +GARAGE G ER0 - AA1 ZH +GARAGES G ER0 - AA1 - ZH IH0 Z +GARAGIOLA G ER0 - AE2 - JH IY0 - OW1 - L AH0 +GARAGIOLA(2) G EH2 - R AH0 - JH IY0 - OW1 - L AH0 +GARAJDA G ER0 - AA1 ZH - D AH0 +GARAJDA'S G ER0 - AA1 ZH - D AH0 Z +GARAJDA'S(2) G AO0 - R AA1 ZH - D AH0 Z +GARAJDA(2) G AO0 - R AA1 ZH - D AH0 +GARAMENDI G EH2 - R AH0 - M EH1 N - D IY0 +GARAMENDI'S G EH2 - R AH0 - M EH1 N - D IY0 Z +GARAND G AE1 - R AH0 N D +GARANT G AA1 - R AH0 N T +GARARD G ER0 - AA1 R D +GARAVAGLIA G AA0 - R AA0 - V AA1 G - L IY0 - AH0 +GARAY G AE1 - R EY0 +GARB G AA1 R B +GARBACZ G AA1 R - B AH0 CH +GARBAGE G AA1 R - B IH0 JH +GARBARINI G AA0 R - B AA0 - R IY1 - N IY0 +GARBARINO G AA0 R - B AA0 - R IY1 - N OW0 +GARBE G AA1 R B +GARBED G AA1 R B D +GARBER G AA1 R - B ER0 +GARBERS G AA1 R - B ER0 Z +GARBETT G AA1 R - B IH0 T +GARBLE G AA1 R - B AH0 L +GARBLED G AA1 R - B AH0 L D +GARBO G AA1 R - B OW0 +GARBUTT G AA1 R - B AH0 T +GARCEAU G AA0 R - S OW1 +GARCES G AA1 R - S EH0 S +GARCETTI G AA2 R - CH EH1 - T IY0 +GARCETTI'S G AA2 R - CH EH1 - T IY0 Z +GARCIA G AA2 R - S IY1 - AH0 +GARCIA'S G AA0 R - S IY1 - AH0 Z +GARCIAS G AA0 R - S IY1 - AH0 Z +GARCZYNSKI G ER0 - CH IH1 N - S K IY0 +GARD G AA1 R D +GARDA G AA1 R - D AH0 +GARDE G AA1 R D +GARDEA G AA1 R - D IY0 - AH0 +GARDELLA G AA2 R - D EH1 - L AH0 +GARDEN G AA1 R - D AH0 N +GARDEN'S G AA1 R - D AH0 N Z +GARDENA G AA0 R - D IY1 - N AH0 +GARDENAMERICA G AA2 R - D AH0 - N AH0 - M EH1 - R IH0 - K AH0 +GARDENED G AA1 R - D AH0 N D +GARDENER G AA1 R - D AH0 N - ER0 +GARDENER'S G AA1 R - D AH0 N - ER0 Z +GARDENERS G AA1 R - D AH0 N - ER0 Z +GARDENERS(2) G AA1 R D - N ER0 Z +GARDENHIRE G AA1 R - D AH0 N - HH AY2 R +GARDENIA G AA0 R - D IY1 - N Y AH0 +GARDENIAS G AA0 R - D IY1 - N Y AH0 Z +GARDENING G AA1 R - D AH0 N - IH0 NG +GARDENING(2) G AA1 R D - N IH0 NG +GARDENS G AA1 R - D AH0 N Z +GARDIN G AA1 R - D IH0 N +GARDINER G AA1 R D - N ER0 +GARDINI G AA0 R - D IY1 - N IY0 +GARDINI'S G AA0 R - D IY1 - N IY0 Z +GARDINIER G AA1 R - D IH0 - N IY0 - ER0 +GARDINIER(2) G AA1 R - D IH0 - N Y ER0 +GARDNER G AA1 R D - N ER0 +GARDNER'S G AA1 R D - N ER0 Z +GARDOLIN G AA1 R - D OW0 - L IH0 N +GARDOLIN'S G AA1 R - D OW0 - L IH0 N Z +GARDUNO G AA0 R - D UW1 - N OW0 +GARDYNE G AA1 R - D AY2 N +GARE G EH1 R +GAREAU G ER0 - OW1 +GARELICK G AE1 - R IH0 - L IH0 K +GARETH G EH1 - R IH0 TH +GARETT G AE1 - R IH0 T +GAREY G AE1 - R IY0 +GARFIELD G AA1 R - F IY2 L D +GARFINKEL G AA1 R - F IH0 NG - K AH0 L +GARFINKLE G AA1 R - F IH2 NG - K AH0 L +GARFUNKEL G AA1 R F - AH0 NG - K AH0 L +GARG G AA1 R G +GARGAN G AA1 R - G AH0 N +GARGANO G AA0 R - G AA1 - N OW0 +GARGANTUAN G AA0 R - G AE1 N - CH UW0 - AH0 N +GARGER G AA1 R - G ER0 +GARGES G AA1 R - JH IH0 Z +GARGILL G AA1 R - JH IH0 L +GARGIS G AA1 R - G IH0 S +GARGIULO G AA1 R - JH UW0 - L OW0 +GARGOYLE G AA1 R - G OY2 L +GARGOYLES G AA1 R - G OY2 L Z +GARGUILO G AA0 R G - W IY1 - L OW0 +GARGUS G AA1 R - G AH0 S +GARI G AA1 - R IY0 +GARIBALDI G AE2 - R AH0 - B AO1 L - D IY0 +GARIBAY G AE1 - R IH0 - B EY0 +GARIEPY G ER0 - IY1 - P IY0 +GARIN G EH1 - R IH0 N +GARING G EH1 - R IH0 NG +GARINGER G EH1 - R IH0 - NG ER0 +GARIS G AE1 - R IH0 S +GARISH G EH1 - R IH0 SH +GARITY G AE1 - R IH0 - T IY0 +GARL G AA1 R L +GARLAN G AA1 R - L AH0 N +GARLAND G AA1 R - L AH0 N D +GARLIC G AA1 R - L IH0 K +GARLICK G AA1 R - L IH0 K +GARLICKY G AA1 R - L IH0 - K IY0 +GARLING G AA1 R - L IH0 NG +GARLINGER G AA1 R - L IH0 - NG ER0 +GARLINGHOUSE G AA1 R - L IH0 NG - HH AW2 S +GARLINGTON G AA1 R - L IH0 NG - T AH0 N +GARLITZ G AA1 R - L IH0 T S +GARLOCK G AA1 R - L AH0 K +GARLOW G AA1 R - L OW0 +GARMAN G AA1 R - M AH0 N +GARMANY G ER0 - M AO1 - N IY0 +GARMENT G AA1 R - M AH0 N T +GARMENTS G AA1 R - M AH0 N T S +GARMON G AA1 R - M AH0 N +GARMOND G AA1 R - M AH0 N D +GARMS G AA1 R M Z +GARMUND G AA1 R - M AH0 N D +GARN G AA1 R N +GARNEAU G AA0 R - N OW1 +GARNER G AA1 R - N ER0 +GARNERED G AA1 R - N ER0 D +GARNERING G AA1 R - N ER0 - IH0 NG +GARNERS G AA1 R - N ER0 Z +GARNES G AA1 R N Z +GARNET G AA1 R - N AH0 T +GARNETT G AA1 R - N IH0 T +GARNETTE G AA0 R - N EH1 T +GARNEY G AA1 R - N IY0 +GARNICA G AA0 R - N IY1 - K AH0 +GARNIER G AA1 R - N IY0 - ER0 +GARNISH G AA1 R - N IH0 SH +GARNISHED G AA1 R - N IH0 SH T +GARNISHES G AA1 R - N IH0 - SH AH0 Z +GARNISHMENT G AA1 R - N IH0 SH - M AH0 N T +GARNO G AA1 R - N OW0 +GARNOCK G AA1 R - N AH0 K +GARNSEY G AA1 R N - S IY0 +GARO G EH1 - R OW0 +GAROFALO G AA0 - R OW0 - F AA1 - L OW0 +GAROFANO G AA0 - R OW0 - F AA1 - N OW0 +GAROFOLO G EH0 - R AH0 - F OW1 - L AH0 +GAROLS G AE1 - R AO0 L Z +GARON G AA0 - R AO1 N +GARONE G ER0 - OW1 N +GARONZIK G ER0 - AA1 N - Z IH0 K +GAROUTTE G ER0 - UW1 T +GARR G AE1 R +GARRABRANT G AA0 - R AA1 - B R AH0 N T +GARRAHAN G AE1 - R AH0 - HH AE0 N +GARRAMONE G AE1 - R AH0 - M OW2 N +GARRARD G AE1 - R ER0 D +GARRATT G EH1 - R AH0 T +GARRAWAY G AE1 - R AH0 - W EY0 +GARRELL G AA0 - R EY1 L +GARRELS G AE1 - R AH0 L Z +GARRELTS G AE1 - R IH0 L T S +GARREN G AA1 - R AH0 N +GARRET G EH1 - R IH0 T +GARRET'S G EH1 - R AH0 T S +GARRETS G EH1 - R AH0 T S +GARRETSON G AE1 - R IH0 T - S AH0 N +GARRETT G AE1 - R IH0 T +GARRETT'S G AE1 - R IH0 T Z +GARRETT'S(2) G EH1 - R IH0 T Z +GARRETT(2) G EH1 - R IH0 T +GARRETTE G ER0 - EH1 T +GARREY G AE1 - R IY0 +GARRICK G EH1 - R IH0 K +GARRIDO G AA0 - R IY1 - D OW0 +GARRIDO-LUNA G AA0 - R IY1 - D OW0 - L UW1 - N AH0 +GARRIGA G AE1 - R IH0 - G AH0 +GARRIGAN G AE1 - R IH0 - G AH0 N +GARRIGUES G AA0 - R IY1 - G EH0 S +GARRIGUS G AA0 - R IY1 - G IH0 S +GARRINGER G AE1 - R IH0 - NG ER0 +GARRIOTT G AE1 - R IY0 - AH0 T +GARRIS G AE1 - R IH0 S +GARRISON G AE1 - R IH0 - S AH0 N +GARRISONED G AE1 - R AH0 - S AH0 N D +GARRITANO G AA0 - R IY0 - T AA1 - N OW0 +GARRITT G AE1 - R IH0 T +GARRITY G EH1 - R IH0 - T IY0 +GARRO G AA1 - R OW0 +GARROD G AE1 - R AH0 D +GARROL G AE1 - R AH0 L +GARROLS G AE1 - R AH0 L Z +GARRON G AE1 - R AH0 N +GARRON'S G EH1 - R AH0 N Z +GARROS G EH1 - R OW0 S +GARROTT G AE1 - R AH0 T +GARROW G EH1 - R OW0 +GARROWAY G AE1 R - OW0 - W EY2 +GARROZ G AE1 - R AH0 Z +GARRULOUS G EH1 - R AH0 - L AH0 S +GARRY G AE1 - R IY0 +GARRY(2) G EH1 - R IY0 +GARS G AA1 R Z +GARSIDE G AA1 R - S AY2 D +GARSKE G AA1 R S K +GARSON G AA1 R - S AH0 N +GARST G AA1 R S T +GARSTEN G AA1 R - S T EH0 N +GARSTEN'S G AA1 R - S T EH0 N Z +GARSTIN G AA1 R - S T AH0 N +GARSTKA G AA1 R S T - K AH0 +GARSTON G AA1 R - S T AH0 N +GARTEN G AA1 R - T AH0 N +GARTENBERG G AA1 R - T AH0 N - B ER0 G +GARTER G AA1 R - T ER0 +GARTERS G AA1 R - T ER0 Z +GARTH G AA1 R TH +GARTHWAITE G AA1 R TH - W EY2 T +GARTIN G AA1 R - T IH0 N +GARTLAND G AA1 R T - L AH0 N D +GARTLEY G AA1 R T - L IY0 +GARTMAN G AA1 R T - M AH0 N +GARTMORE G AA1 R T - M AO2 R +GARTNER G AA1 R T - N ER0 +GARTON G AA1 R - T AH0 N +GARTRELL G AA1 R - T R AH0 L +GARTSIDE G AA1 R T - S AY2 D +GARTZKE G AA1 R T S K +GARTZKE(2) G AA1 R T S - K IY0 +GARUDA G AH0 - R UW1 - D AH0 +GARVER G AA1 R - V ER0 +GARVERICK G AA1 R - V ER0 - IH0 K +GARVEY G AA1 R - V IY0 +GARVIE G AA1 R - V IY0 +GARVIN G AA1 R - V IH0 N +GARWIN G AA1 R - W IH0 N +GARWOOD G AA1 R - W UH2 D +GARY G EH1 - R IY0 +GARY'S G EH1 - R IY0 Z +GARZA G AA1 R - Z AH0 +GARZARELLI G AA1 R - Z ER0 - EH2 - L IY0 +GARZON G AA1 R - Z AH0 N +GAS G AE1 S +GAS'S G AE1 - S IH0 Z +GASAWAY G AE1 S - AH0 - W EY2 +GASBARRO G AA0 S - B AA1 - R OW0 +GASCA G AA1 - S K AH0 +GASCON G AE1 S - K AH0 N +GASCONS G AE1 S - K AH0 N Z +GASE G EY1 Z +GASEOUS G AE1 - S IY0 - AH0 S +GASES G AE1 - S AH0 Z +GASES(2) G AE1 - S IH0 Z +GASH G AE1 SH +GASHED G AE1 SH T +GASHES G AE1 - SH AH0 Z +GASICH G EY1 - Z IH0 K +GASIFICATION G AE2 - S AH0 - F AH0 - K EY1 - SH AH0 N +GASIFY G AE2 - S AH0 - F AY0 +GASIOR G AE1 - S IY0 - ER0 +GASIOROWSKI G AH0 - S IY0 - AO0 - R AO1 F S - K IY0 +GASKA G AA1 - S K AH0 +GASKAMP G AE1 S - K AE2 M P +GASKELL G AE1 S - K AH0 L +GASKET G AE1 S - K AH0 T +GASKETS G AE1 S - K AH0 T S +GASKEY G AE1 S - K IY2 +GASKILL G AE1 S - K IH2 L +GASKIN G AE1 S - K IH0 N +GASKINS G AE1 S - K IH0 N Z +GASLIGHT G AE1 S - L AY0 T +GASNER G AE1 S - N ER0 +GASOHOL G AE1 - S AH0 - HH AO2 L +GASOLINE G AE1 - S AH0 - L IY2 N +GASOLINES G AE2 - S AH0 - L IY1 N Z +GASP G AE1 S P +GASPAR G AE1 - S P ER0 +GASPARD G AH0 - S P AA1 R D +GASPARI G AA0 - S P AA1 - R IY0 +GASPARINI G AA0 - S P AA0 - R IY1 - N IY0 +GASPARRO G AA0 - S P AA1 - R OW0 +GASPE G AE1 - S P IY0 +GASPED G AE1 S P T +GASPER G AE1 - S P ER0 +GASPERINI G AA0 - S P ER0 - IY1 - N IY0 +GASPING G AE1 - S P IH0 NG +GASPS G AE1 S P S +GASQUE G EY1 S K +GASS G AE1 S +GASSAWAY G AE1 S - AH0 - W EY0 +GASSED G AE1 S T +GASSEE G AE1 - S IY1 +GASSEN G AE1 - S AH0 N +GASSER G AE1 - S ER0 +GASSERT G AE1 - S ER0 T +GASSES G AE1 - S IH0 Z +GASSETT G AE1 - S IH0 T +GASSING G AE1 - S IH0 NG +GASSMAN G AE1 S - M AH0 N +GASSMANN G AE1 S - M AH0 N +GASSNER G AE1 S - N ER0 +GAST G AE1 S T +GASTELLI G AH0 - S T EH1 - L IY0 +GASTER G AE1 - S T ER0 +GASTILUM G EY1 - S T IH0 - L AH0 M +GASTINEAU G AE1 - S T IH0 - N OW2 +GASTON G AE1 - S T AH0 N +GASTON'S G AE1 - S T AH0 N Z +GASTONIA G AH0 - S T OW1 - N IY0 - AH0 +GASTRIC G AE1 - S T R IH0 K +GASTRITIS G AE0 - S T R AY1 - T AH0 S +GASTROINTESTINAL G AE2 - S T R OW0 - IH0 N - T EH1 - S T AH0 - N AH0 L +GASTRONOMIC G AH0 - S T R AA2 - N AA1 - M IH0 K +GASTRONOMY G AE0 S - T R AA1 - N AH0 - M IY0 +GASTROSCOPE G AE1 S - T R AH0 - S K OW2 P +GASTROVASCULAR G AE2 S - T R OW0 - V AE1 - S K Y AH0 - L ER0 +GASTRULATE G AE1 S - T R AH0 - L EY2 T +GASTRULATION G AE2 S - T R AH0 - L EY1 - SH AH0 N +GAT G AE1 T +GATCH G AE1 CH +GATCHEL G AE1 - CH AH0 L +GATCHELL G AE1 - CH AH0 L +GATE G EY1 T +GATED G EY1 - T IH0 D +GATEKEEPER G EY1 T - K IY2 - P ER0 +GATEKEEPERS G EY1 T - K IY2 - P ER0 Z +GATELEY G AE1 - T IH0 - L IY0 +GATELEY(2) G EY1 T - L IY0 +GATELY G EY1 T - L IY0 +GATES G EY1 T S +GATES' G EY1 T S +GATES'S G EY1 T - S IH0 Z +GATES'S(2) G EY1 T S +GATEWAY G EY1 T - W EY2 +GATEWAY'S G EY1 T - W EY2 Z +GATEWAYS G EY1 T - W EY2 Z +GATEWOOD G EY1 T - W UH2 D +GATH G AE1 TH +GATHER G AE1 - DH ER0 +GATHERED G AE1 - DH ER0 D +GATHERER G AE1 - DH ER0 - ER0 +GATHERERS G AE1 - DH ER0 - ER0 Z +GATHERING G AE1 - DH ER0 - IH0 NG +GATHERINGS G AE1 - DH ER0 - IH0 NG Z +GATHERS G AE1 - DH ER0 Z +GATHINGS G AE1 - TH IH0 NG Z +GATHMAN G AE1 TH - M AH0 N +GATHRIGHT G AE1 TH - R AY2 T +GATIEN G EY1 - T Y EH0 N +GATLEY G AE1 T - L IY0 +GATLIFF G AE1 T - L IH0 F +GATLIN G AE1 T - L IH0 N +GATLING G AE1 T - L IH0 NG +GATLING'S G AE1 T - L IH0 NG Z +GATOIL G AH0 - T OY1 L +GATOR G EY1 - T ER0 +GATORADE G AE1 - T ER0 - EY2 D +GATORS G EY1 - T ER0 Z +GATOS G AA1 - T OW2 S +GATOS(2) G AE1 - T OW2 S +GATOS(3) G EY1 - T OW2 S +GATOS(4) G EY1 - T OW0 S +GATRELL G AE1 - T R AH0 L +GATSBY G AE1 T S - B IY0 +GATSON G AE1 T - S AH0 N +GATT G AE1 T +GATTEN G AE1 - T AH0 N +GATTI G AE1 - T IY0 +GATTING G AE1 - T IH0 NG +GATTIS G AE1 - T IH0 S +GATTIS(2) G AE1 - T IY0 Z +GATTON G AE1 - T AH0 N +GATTUSO G AA0 - T UW1 - S OW0 +GATTY G AE1 - T IY0 +GATWARD G AE1 T - W ER0 D +GATWICK G AE1 T - W IH2 K +GATWICK(2) G EY1 T - W IH2 K +GATX G AE1 - T EH2 K S +GATZ G AE1 T S +GATZA G AA1 T - Z AH0 +GATZKE G AE1 T S K +GATZKE(2) G AE1 T S - K IY0 +GAU G OW1 +GAUB G AO1 B +GAUBATZ G AW1 - B AH0 T S +GAUBERT G AW1 - B ER0 T +GAUBERT'S G AW1 - B ER0 T S +GAUBERT'S(2) G AW0 - B EH1 R T S +GAUBERT(2) G AW0 - B EH1 R T +GAUCH G AO1 CH +GAUCHE G OW1 SH +GAUCHER G OW1 - SH ER0 +GAUCHO G AW1 - CH OW0 +GAUCHOS G AW1 - CH OW0 Z +GAUDET G OW0 - D EH1 T +GAUDETTE G OW0 - D EH1 T +GAUDIN G OW0 - D AE1 N +GAUDINO G AO2 - D IY1 - N OW0 +GAUDIO G AO1 - D IY0 - OW0 +GAUDIOSO G AO0 - D IY0 - OW1 - S OW0 +GAUDREAU G OW0 - D R OW1 +GAUDY G AO1 - D IY0 +GAUER G AW1 - ER0 +GAUERKE G AW1 - ER0 K +GAUFMAN G AO1 F - M AH0 N +GAUFMAN'S G AO1 F - M AH0 N Z +GAUGE G EY1 JH +GAUGED G EY1 JH D +GAUGER G EY1 - JH ER0 +GAUGES G EY1 - JH AH0 Z +GAUGES(2) G EY1 - JH IH0 Z +GAUGH G AO1 +GAUGHAN G AO1 - AH0 N +GAUGHMAN G AO1 - M AH0 N +GAUGHRAN G AO1 - R AH0 N +GAUGING G EY1 - JH IH0 NG +GAUGLER G AO1 G - L ER0 +GAUGUIN G AO1 G - W IH0 N +GAUGUIN(2) G OW1 - G AE2 N +GAUL G AO1 L +GAULAN G AO1 - L AH0 N +GAULDEN G AW1 - D AH0 N +GAULDING G AO1 L - D IH0 NG +GAULIN G OW0 - L AE1 N +GAULKE G AO1 L K +GAULLE G AO1 L +GAULLIST G AO1 - L IH0 S T +GAULS G AO1 L Z +GAULT G AO1 L T +GAULTIER G OW1 L - T Y EY0 +GAULTIER(2) G AA1 L - T Y ER0 +GAULTNEY G AO1 L T - N IY0 +GAUMER G AW1 - M ER0 +GAUMOND G OW0 - M AA1 N D +GAUNA G AO1 - N AH0 +GAUNCE G AO1 N S +GAUNT G AO1 N T +GAUNTLET G AO1 N T - L AH0 T +GAUNTNESS G AO1 N T - N AH0 S +GAUNTT G AO1 N T +GAUS G AO1 Z +GAUSE G AO1 Z +GAUSMAN G AW1 S - M AH0 N +GAUSS G AW1 S +GAUSTAD G AW1 - S T AH0 D +GAUT G AO1 T +GAUTHIER G AW1 - TH IY0 - ER0 +GAUTHREAUX G OW0 - TH R OW1 +GAUTIER G AW1 - T IY0 - ER0 +GAUTNEY G AO1 T - N IY0 +GAUTREAU G OW0 - T R OW1 +GAUTREAUX G OW0 - T R OW1 +GAUVAIN G OW0 - V AE1 N +GAUVIN G OW0 - V AE1 N +GAUVREAU G OW0 - V R OW1 +GAUZE G AO1 Z +GAVALDA G AH0 - V AA1 L - D AH0 +GAVAN G EY1 - V AH0 N +GAVE G EY1 V +GAVEL G AE1 - V AH0 L +GAVEN G EY1 - V AH0 N +GAVER G EY1 - V ER0 +GAVIGAN G AE1 - V IH0 - G AH0 N +GAVIN G AE1 - V IH0 N +GAVIOTAS G AE0 - V IY0 - AO1 - T AH0 Z +GAVIOTAS(2) G AE0 - V Y AO1 - T AH0 Z +GAVIRIA G AH0 - V IH1 - R IY0 - AH0 +GAVITT G AE1 - V IH0 T +GAVRAS G AE1 - V R AH0 S +GAVRAS'S G AE1 - V R AH0 - S IH0 Z +GAW G AO1 +GAWAIN G AA1 - W AH0 N +GAWEL G AO1 - AH0 L +GAWEN G AO1 - AH0 N +GAWK G AO1 K +GAWKER G AA1 - K ER0 +GAWKERS G AA1 - K ER0 Z +GAWKING G AO1 - K IH0 NG +GAWKY G AO1 - K IY0 +GAWLIK G AO1 - L IH0 K +GAWNE G AO1 N +GAWRON G AO1 - R AH0 N +GAWRONSKI G AA0 - V R AA1 N - S K IY0 +GAWTHROP G AO1 - TH R AH0 P +GAXIOLA G AE0 K - S IY0 - OW1 - L AH0 +GAY G EY1 +GAYDA G EY1 - D AH0 +GAYDEN G EY1 - D AH0 N +GAYDOS G EY1 - D OW0 Z +GAYDOSH G EY1 - D AH0 SH +GAYE G EY1 +GAYER G EY1 - ER0 +GAYHART G EY1 - HH AA2 R T +GAYHEART G EY1 - HH AA2 R T +GAYLE G EY1 L +GAYLER G EY1 - L ER0 +GAYLES G EY1 L Z +GAYLOR G EY1 - L ER0 +GAYLORD G EY1 - L AO2 R D +GAYMAN G EY0 - M AE1 N +GAYMON G EY1 - M AH0 N +GAYNATIE G EY1 - N AH0 - T IY0 +GAYNER G EY1 - N ER0 +GAYNESS G EY1 - N AH0 S +GAYNOR G EY1 - N ER0 +GAYS G EY1 Z +GAYSHILL G EY2 Z - HH IH1 L +GAYSHILL(2) G EY0 - SH IH1 L +GAYTAN G EY1 - T AH0 N +GAYTON G EY1 - T AH0 N +GAZ G AA1 Z +GAZ(2) G AE1 Z +GAZA G AA1 - Z AH0 +GAZA'S G AA1 - Z AH0 Z +GAZANS G AA1 - Z AH0 N Z +GAZAWAY G AA1 - Z AH0 - W EY0 +GAZDA G AE1 Z - D AH0 +GAZDIK G AE1 Z - D IH0 K +GAZE G EY1 Z +GAZED G EY1 Z D +GAZELLA G AH0 - Z EH1 - L AH0 +GAZELLE G AH0 - Z EH1 L +GAZELLES G AH0 - Z EH1 L Z +GAZES G EY1 - Z AH0 Z +GAZES(2) G EY1 - Z IH0 Z +GAZETA G AH0 - Z EY1 - T AH0 +GAZETA(2) G AH0 - Z EH1 - T AH0 +GAZETTE G AH0 - Z EH1 T +GAZING G EY1 - Z IH0 NG +GAZONSKY G AH0 - Z AA1 N - S K IY0 +GAZONSKY'S G AH0 - Z AA1 N - S K IY0 Z +GAZPROM G AE1 Z - P R AA2 M +GAZZOLA G AA0 T - S OW1 - L AH0 +GDANSK G AH0 - D AE1 N S K +GEAC G IY1 K +GEAC(2) JH IY1 - IY1 - EY1 - S IY1 +GEAGEA JH IY1 - AH0 - JH IY1 - AH0 +GEAN JH IY1 N +GEAR G IH1 R +GEAR'S G IH1 R Z +GEARAN G IH1 - R AH0 N +GEARAN'S G IH1 - R AH0 N Z +GEARBOX G IH1 R - B AA2 K S +GEARBOXES G IH1 R - B AA0 K - S IH0 Z +GEARED G IH1 R D +GEAREY G IH1 - R IY0 +GEARHART G IH1 R - HH AA0 R T +GEARHART(2) G IY1 R - HH AA0 R T +GEARHEART G IH1 R - HH AA0 R T +GEARHEART(2) G IY1 R - HH AA0 R T +GEARIN G IH1 - R IH0 N +GEARING G IH1 - R IH0 NG +GEARS G IH1 R Z +GEARY G IH1 - R IY0 +GEBAUER G EH1 - B AW0 - ER0 +GEBBIA JH EH1 - B IY0 - AH0 +GEBBIE JH EH1 - B IY0 +GEBBIE'S JH EH1 - B IY0 Z +GEBEL G EH1 - B AH0 L +GEBERT G EH1 - B ER0 T +GEBHARD G EH1 B - HH ER0 D +GEBHARDT G EH1 B - HH AA0 R T +GEBHART G EH1 B - HH AA0 R T +GEBLER G EH1 - B AH0 L - ER0 +GEBLER(2) G EH1 B - L ER0 +GEBO JH EY1 - B OW0 +GECHEM G EH1 - CH AH0 M +GECK JH EH1 K +GECKO G EH1 - K OW0 +GECKOS G EH1 - K OW0 Z +GED G EH1 D +GED(2) JH IY1 - IY1 - D IY1 +GEDDES G EH1 - D AH0 S +GEDDES(2) G EH1 - D AH0 Z +GEDDIE JH EH1 - D IY0 +GEDDINGS JH EH1 - D IH0 NG Z +GEDDIS G EH1 - D IH0 S +GEDEON G EH1 - D IY0 - AH0 N +GEDNEY JH EH1 D - N IY0 +GEDULD G EH1 - D AH0 L D +GEE JH IY1 +GEE'S JH IY1 Z +GEEING JH IY1 - IH0 NG +GEEK G IY1 K +GEEKS G IY1 K S +GEEKY G IY1 - K IY0 +GEENA G IY1 - N AH0 +GEENEN G IY1 - N AH0 N +GEER G IH1 R +GEERDES G IH1 R D Z +GEERS G IY1 - ER0 Z +GEERTS G IH1 R T S +GEES JH IY1 S +GEESAMAN G IY1 - S AH0 - M AH0 N +GEESE G IY1 S +GEESEY G IY1 - S IY0 +GEESLIN G IY1 S - L IH0 N +GEETING G IY1 - T IH0 NG +GEEZ JH IY1 Z +GEFFEN G EH1 - F AH0 N +GEFFERT G EH1 - F ER0 T +GEFFNER G EH1 F - N ER0 +GEFFRE JH EH1 - F ER0 +GEFINOR G EH1 - F IH0 - N ER0 +GEGENHEIMER G EH1 - G IH0 N - HH AY0 - M ER0 +GEGG JH EH1 G +GEHL G EH1 L +GEHLE JH EH1 - HH AH0 L +GEHLHAUSEN G EH1 L - HH AW0 - Z AH0 N +GEHLING G EH1 - L IH0 NG +GEHM JH EH1 M +GEHMAN G EH1 - M AH0 N +GEHR JH EH1 R +GEHRES JH EH1 R Z +GEHRET G EH1 - R IH0 T +GEHRIG G EH1 - R IH0 G +GEHRIG'S G EH1 - R IH0 G Z +GEHRING G EH1 - R IH0 NG +GEHRINGER G EH1 - R IH0 - NG ER0 +GEHRIS G EH1 - R IH0 S +GEHRKE JH EH1 R K +GEHRMAN G EH1 R - M AH0 N +GEHRMANN G EH1 R - M AH0 N +GEHRT G EH1 R T +GEHRY G EH1 - R IY0 +GEIB G AY1 B +GEIBEL G AY1 - B AH0 L +GEICO G AY1 - K OW0 +GEICO'S G AY1 - K OW0 Z +GEIDAR G AY1 - D AA2 R +GEIDEL G AY1 - D AH0 L +GEIER G AY1 - ER0 +GEIGER G AY1 - G ER0 +GEIGLE G AY1 - G AH0 L +GEIGY G AY1 - G IY0 +GEIGY'S G AY1 - G IY0 Z +GEIKEN G AY1 - K AH0 N +GEIL G AY1 L +GEILER G AY1 - L ER0 +GEIMAN G AY1 - M AH0 N +GEIMER G AY1 - M ER0 +GEIS G AY1 Z +GEISE G AY1 S +GEISEL G AY1 - S AH0 L +GEISELMAN G AY1 - S AH0 L - M AH0 N +GEISEN G AY1 - S AH0 N +GEISER G AY1 - S ER0 +GEISERT G AY1 - S ER0 T +GEISHA G EY1 - SH AH0 +GEISINGER G AY1 - S IH0 N - JH ER0 +GEISLER G AY1 S - L ER0 +GEISS G AY1 S +GEISSINGER G AY1 - S IH0 N - JH ER0 +GEISSLER G AY1 S - L ER0 +GEIST G AY1 S T +GEISTER G AY1 - S T ER0 +GEISZLER G AY1 S - L ER0 +GEITNER G AY1 T - N ER0 +GEITZ G AY1 T S +GEJDENSON G EY1 - D AH0 N - S AH0 N +GEKKO G EH1 - K OW0 +GEL JH EH1 L +GELARDI JH EH0 - L AA1 R - D IY0 +GELARDIN G AH0 - L AA1 R - D IH0 N +GELASIA JH EH0 - L AA1 - S IY0 - AH0 +GELATIN JH EH1 - L AH0 - T AH0 N +GELATINE JH EH2 - L AH0 - T IY1 N +GELATINOUS JH AH0 - L AE1 - T AH0 - N AH0 S +GELB JH EH1 L B +GELBART G EH1 L - B AA2 R T +GELBER G EH1 L - B ER0 +GELCO JH EH1 L - K OW0 +GELDER G EH1 L - D ER0 +GELDERMANN G EH1 L - D ER0 - M AH0 N +GELERNTER G AH0 - L ER1 N - T ER0 +GELETT JH EH1 - L IH0 T +GELETTE ZH IH0 - L EH1 T +GELFAND G EH1 L - F AH0 N D +GELINAS G EH1 - L IH0 - N AH0 Z +GELINEAU ZH EH1 - L IH0 - N OW0 +GELL JH EH1 L +GELLATLY JH EH1 - L AH0 T - L IY0 +GELLER G EH1 - L ER0 +GELLERMAN G EH1 - L ER0 - M AH0 N +GELLERT G EH1 - L ER0 T +GELLES JH EH1 L Z +GELLI G EH1 - L IY0 +GELLIS G EH1 - L IH0 S +GELLMAN G EH1 L - M AH0 N +GELLNER G EH1 L - N ER0 +GELMAN G EH1 L - M AH0 N +GELPI JH EH1 L - P IY0 +GELS JH EH1 L Z +GELSINGER G EH1 L - S IH0 N - JH ER0 +GELTZ G EH1 L T S +GELVIN G EH1 L - V IH0 N +GEM JH EH1 M +GEM'S JH EH1 M Z +GEMAYEL G AH0 - M EY1 - AH0 L +GEMAYEL'S G AH0 - M EY1 - AH0 L Z +GEMAYEL'S(2) JH AH0 - M AY1 - AH0 L Z +GEMAYEL'S(3) G AH0 - M AY1 - AH0 L Z +GEMAYEL(2) JH AH0 - M AY1 - AH0 L +GEMAYEL(3) G AH0 - M AY1 - AH0 L +GEMBERLING G EH1 M - B ER0 - L IH0 NG +GEMCO JH EH1 M - K OW0 +GEMCRAFT JH EH1 M - K R AE2 F T +GEMCRAFT'S JH EH1 M - K R AE2 F T S +GEMEX JH EH1 - M EH0 K S +GEMFIBROZIL G EH1 M - F IH0 - B R OW0 - Z AH0 L +GEMFIBROZIL(2) JH IH2 M - F EY1 - B R OW0 - Z IH2 L +GEMIGNANI JH EH0 - M IY0 G - N AA1 - N IY0 +GEMINA G EH0 - M IY1 - N AH0 +GEMINATE JH EH1 - M AH0 - N AH0 T +GEMINATE(2) JH EH1 - M AH0 - N EY2 T +GEMINI JH EH1 - M AH0 - N AY2 +GEMINI(2) JH EH1 - M AH0 - N IY2 +GEMMA JH EH1 - M AH0 +GEMME JH EH1 M +GEMMELL G EH1 - M AH0 L +GEMMER G EH1 - M ER0 +GEMMILL G EH1 - M AH0 L +GEMS JH EH1 M Z +GEMSBOK G EH1 M Z - B AA0 K +GEMSTONE JH EH1 M - S T OW2 N +GEMSTONES JH EH1 M - S T OW2 N Z +GEN JH EH1 - N ER0 - AH0 L +GEN. JH EH1 - N ER0 - AH0 L +GEN.(2) JH EH1 N +GENA JH EH1 - N AH0 +GENADY JH AH0 - N EY1 - D IY0 +GENCARELLI JH EH0 N - K AA0 R - EH1 - L IY0 +GENCO JH EH1 NG - K OW0 +GENCOR JH EH1 N - K AO2 R +GENCORP JH EH1 N - K AO2 R P +GENCORP'S JH EH1 N - K AO2 R P S +GENCORP'S(2) JH EH1 N - K AO2 R S +GENCORP(2) JH EH1 N - K AO2 R +GENDARME ZH AA1 N - D AA2 R M +GENDER JH EH1 N - D ER0 +GENDERS JH EH1 N - D ER0 Z +GENDLER JH EH1 N D - L ER0 +GENDREAU ZH IH0 N - D R OW1 +GENDRISEK JH EH1 D - R IH0 - S EH2 K +GENDRISEK'S JH EH1 D - R IH0 - S EH2 K S +GENDRON JH EH1 N - D R AH0 N +GENE JH IY1 N +GENE'S JH IY1 N Z +GENEALOGY JH IY2 - N IY0 - AA1 - L AH0 - JH IY0 +GENEEN JH AH0 - N IY1 N +GENEGO G EH1 - N AH0 - G OW2 +GENEGO(2) JH EH1 - N AH0 - G OW0 +GENEGO(3) JH IY1 - IY1 - EH1 - N IY1 - JH IY1 - OW1 +GENELAB JH EH1 - N AH0 - L AE2 B +GENELABS JH EH1 - N AH0 - L AE2 B Z +GENEMEDICINE JH EH1 - N AH0 - M EH1 - D AH0 - S AH0 N +GENENCOR JH EH1 - N AH0 N - K AO2 R +GENENTECH JH EH1 - N AH0 N - T EH2 K +GENENTECH'S JH EH1 - N AH0 N - T EH2 K S +GENERA JH EH1 - N ER0 - AH0 +GENERAL JH EH1 - N ER0 - AH0 L +GENERAL'S JH EH1 - N ER0 - AH0 L Z +GENERAL'S(2) JH EH1 - N R AH0 L Z +GENERAL(2) JH EH1 - N R AH0 L +GENERALE JH EH2 - N ER0 - AE1 L +GENERALES JH EH2 - N EH0 - R AA1 - L EH0 S +GENERALI JH EH2 - N ER0 - AA1 - L IY0 +GENERALISSIMO JH EH2 - N EH0 - R AH0 - L IH1 - S IH0 - M OW2 +GENERALIST JH EH1 - N ER0 - AH0 - L IH0 S T +GENERALISTS JH EH1 - N ER0 - AH0 - L IH0 S T S +GENERALISTS(2) JH EH1 - N ER0 - AH0 - L IH0 S S +GENERALISTS(3) JH EH1 - N ER0 - AH0 - L IH0 S +GENERALITIES JH EH2 - N ER0 - AE1 - L AH0 - T IY0 Z +GENERALITY JH EH2 - N ER0 - AE1 - L AH0 - T IY0 +GENERALIZATION JH EH2 - N ER0 - AH0 - L IH0 - Z EY1 - SH AH0 N +GENERALIZATION(2) JH EH2 - N R AH0 - L IH0 - Z EY1 - SH AH0 N +GENERALIZATIONS JH EH2 - N ER0 - AH0 - L AH0 - Z EY1 - SH AH0 N Z +GENERALIZATIONS(2) JH EH2 - N R AH0 - L AH0 - Z EY1 - SH AH0 N Z +GENERALIZE JH EH1 - N ER0 - AH0 - L AY2 Z +GENERALIZED JH EH1 - N ER0 - AH0 - L AY2 Z D +GENERALIZED(2) JH EH1 N - R AH0 - L AY2 Z D +GENERALIZING JH EH1 - N ER0 - AH0 - L AY2 - Z IH0 NG +GENERALIZING(2) JH EH1 N - R AH0 - L AY2 - Z IH0 NG +GENERALLY JH EH1 - N ER0 - AH0 - L IY0 +GENERALLY(2) JH EH1 N - R AH0 - L IY0 +GENERALS JH EH1 - N ER0 - AH0 L Z +GENERALS(2) JH EH1 - N R AH0 L Z +GENERALSHIP JH EH1 - N ER0 - AH0 L - SH IH2 P +GENERATE JH EH1 - N ER0 - EY2 T +GENERATED JH EH1 - N ER0 - EY2 - T AH0 D +GENERATED(2) JH EH1 - N ER0 - EY2 - T IH0 D +GENERATES JH EH1 - N ER0 - EY2 T S +GENERATING JH EH1 - N ER0 - EY2 - T IH0 NG +GENERATION JH EH2 - N ER0 - EY1 - SH AH0 N +GENERATION'S JH EH2 - N ER0 - EY1 - SH AH0 N Z +GENERATIONAL JH EH2 - N ER0 - EY1 - SH AH0 - N AH0 L +GENERATIONALLY JH EH2 - N ER0 - EY1 - SH AH0 N - AH0 - L IY0 +GENERATIONS JH EH2 - N ER0 - EY1 - SH AH0 N Z +GENERATIVE JH EH1 - N ER0 - AH0 - T IH0 V +GENERATOR JH EH1 - N ER0 - EY2 - T ER0 +GENERATORS JH EH1 - N ER0 - EY2 - T ER0 Z +GENEREUX ZH EH1 - N ER0 - OW0 +GENERIC JH AH0 - N EH1 - R IH0 K +GENERICALLY JH AH0 - N EH1 - R IH0 K - L IY0 +GENERICS JH AH0 - N EH1 - R IH0 K S +GENERO JH AH0 - N ER1 - OW0 +GENEROSITY JH EH2 - N ER0 - AA1 - S AH0 - T IY0 +GENEROUS JH EH1 - N ER0 - AH0 S +GENEROUSLY JH EH1 - N ER0 - AH0 S - L IY0 +GENES JH IY1 N Z +GENESCO JH EH0 - N EH1 - S K OW0 +GENESEE JH EH1 - N AH0 - S IY2 +GENESIS JH EH1 - N AH0 - S AH0 S +GENET JH EH1 - N IH0 T +GENETIC JH AH0 - N EH1 - T IH0 K +GENETICALLY JH AH0 - N EH1 - T IH0 K - L IY0 +GENETICIST JH AH0 - N EH1 - T AH0 - S AH0 S T +GENETICISTS JH AH0 - N EH1 - T AH0 - S AH0 S T S +GENETICISTS(2) JH AH0 - N EH1 - T AH0 - S AH0 S S +GENETICISTS(3) JH AH0 - N EH1 - T AH0 - S AH0 S +GENETICS JH AH0 - N EH1 - T IH0 K S +GENETIZATION JH EH2 - N AH0 - T IH0 - Z EY1 - SH AH0 N +GENEVA JH AH0 - N IY1 - V AH0 +GENEVE JH AH0 - N IY1 V +GENEVIEVE JH EH1 - N AH0 - V IY2 V +GENEX JH EH1 - N EH0 K S +GENEX'S JH EH1 - N EH0 K - S IH0 Z +GENG JH EH1 NG +GENGENBACH G EH1 - NG AH0 N - B AA2 K +GENGENBACH(2) JH EH1 - NG AH0 N - B AA2 K +GENGER JH EH1 NG - G ER0 +GENGHIS JH EH1 NG - HH IH0 S +GENGLER G EH1 NG - L ER0 +GENGLER(2) JH EH1 NG - L ER0 +GENIAL JH IY1 - N Y AH0 L +GENIALITY JH IY2 - N IY0 - AE1 - L AH0 - T IY0 +GENICOM JH EH1 - N IH0 - K AA0 M +GENIE JH IY1 - N IY0 +GENIERE JH EH0 - N Y EH1 R +GENIS G EH1 - N IH0 S +GENISCO JH EH0 - N IH1 - S K OW0 +GENITAL JH EH1 - N AH0 - T AH0 L +GENITALIA JH EH0 - N AH0 - T AA1 - L Y AH0 +GENITALS JH EH1 - N AH0 - T AH0 L Z +GENIUS JH IY1 - N Y AH0 S +GENIUSES JH IY1 - N Y AH0 - S IH0 Z +GENK JH EH1 NG K +GENLYTE JH EH1 N - L AY2 T +GENMAR JH EH1 N - M AA0 R +GENNA JH EH1 - N AH0 +GENNADI JH EH0 - N AA1 - D IY0 +GENNADY G AH0 - N AA1 - D IY0 +GENNARO JH AH0 - N AA1 - R OW0 +GENNETT JH EH1 - N IH0 T +GENNIFER JH EH1 - N IH0 - F ER0 +GENO JH IY1 - N OW0 +GENOA JH EH1 - N OW0 - AH0 +GENOCIDAL JH EH1 - N AH0 - S AY2 - D AH0 L +GENOCIDE JH EH1 - N AH0 - S AY2 D +GENOESE JH EH1 - N OW0 S +GENOME JH IY1 - N OW2 M +GENOSSENSCHAFTSBANK G EH0 - N OW1 - S EH0 N - SH AE0 F T S - B AE2 NG K +GENOTYPE JH EH1 - N AH0 - T AY2 P +GENOTYPES JH EH1 - N AH0 - T AY2 P S +GENOVA JH EH1 - N OW0 - V AH0 +GENOVESE JH EH1 - N AH0 - V IY0 Z +GENOVESI JH EH2 - N OW0 - V EH1 - S IY0 +GENOVISE JH EH1 - N AH0 - V IY0 Z +GENPHARM JH EH1 N - F AA2 R M +GENRAD JH EH1 N - R AE0 D +GENRE ZH AA1 N - R AH0 +GENRES ZH AA1 N - R AH0 Z +GENRICH G EH1 N - R IH0 K +GENS JH EH1 N Z +GENSCHER G EH1 N - SH ER0 +GENSEL G EH1 N - S AH0 L +GENSIA JH EH2 N - S IY1 - AH0 +GENSKE JH EH1 N S K +GENSLER G EH1 N - S AH0 - L ER0 +GENSLER(2) G EH1 N - S L ER0 +GENSON JH EH1 N - S AH0 N +GENSTAR JH EH1 N - S T AA2 R +GENT JH EH1 N T +GENTEEL JH EH0 N - T IY1 L +GENTER JH EH1 N - T ER0 +GENTHER G EH1 N - DH ER0 +GENTHNER JH EH1 N TH - N ER0 +GENTIAN JH EH1 N - SH AH0 N +GENTILE JH EH1 N - T AY2 L +GENTILE'S JH EH1 N - T AY2 L Z +GENTILES JH EH1 N - T AY2 L Z +GENTILITY JH EH0 N - T IH1 - L IH0 - T IY0 +GENTLE JH EH1 N - T AH0 L +GENTLE(2) JH EH1 - N AH0 L +GENTLELADIES JH EH1 N - T AH0 - L EY2 - D IY0 Z +GENTLELADY JH EH1 N - T AH0 - L EY2 - D IY0 +GENTLEMAN JH EH1 N - T AH0 L - M AH0 N +GENTLEMAN'S JH EH1 N - T AH0 L - M AH2 N Z +GENTLEMAN'S(2) JH EH1 - N AH0 L - M AH2 N Z +GENTLEMAN(2) JH EH1 - N AH0 L - M AH0 N +GENTLEMANLY JH EH1 N - T AH0 L - M AH0 N - L IY0 +GENTLEMANLY(2) JH EH1 - N AH0 L - M AH0 N - L IY0 +GENTLEMEN JH EH1 N - T AH0 L - M IH0 N +GENTLEMEN'S JH EH1 N - T AH0 L - M EH2 N Z +GENTLEMEN'S(2) JH EH1 - N AH0 L - M EH2 N Z +GENTLEMEN(2) JH EH1 - N AH0 L - M IH0 N +GENTLENESS JH EH1 N - T AH0 L - N AH0 S +GENTLENESS(2) JH EH1 - N AH0 L - N AH0 S +GENTLER JH EH1 N T - L ER0 +GENTLES JH EH1 N - T AH0 L Z +GENTLES(2) JH EH1 - N AH0 L Z +GENTLEST JH EH1 N - T AH0 - L AH0 S T +GENTLEWOMAN JH EH1 N - T AH0 L - W UH2 - M AH0 N +GENTLEWOMAN'S JH EH1 N - T AH0 L - W UH2 - M AH0 N Z +GENTLEWOMAN'S(2) JH EH1 - N AH0 L - W UH2 - M AH0 N Z +GENTLEWOMAN(2) JH EH1 - N AH0 L - W UH2 - M AH0 N +GENTLEWOMEN JH EH1 N - T AH0 L - W IH2 - M AH0 N +GENTLEWOMEN'S JH EH1 N - T AH0 L - W IH2 - M AH0 N Z +GENTLEWOMEN'S(2) JH EH1 - N AH0 L - W IH2 - M AH0 N Z +GENTLEWOMEN(2) JH EH1 - N AH0 L - W IH2 - M AH0 N +GENTLY JH EH1 N T - L IY0 +GENTNER JH EH1 N T - N ER0 +GENTRIFICATION JH EH2 N - T R IH0 - F IH0 - K EY1 - SH AH0 N +GENTRIFIED JH EH1 N - T R IH0 - F AY2 D +GENTRIFY JH EH1 N - T R IH0 - F AY2 +GENTRIFYING JH EH1 N - T R IH0 - F AY2 - IH0 NG +GENTRY JH EH1 N - T R IY0 +GENTZ JH EH1 N T S +GENTZLER JH EH1 N T S - L ER0 +GENUINE JH EH1 - N Y AH0 W - AH0 N +GENUINE(2) JH EH1 - N Y UW1 - W AY2 N +GENUINELY JH EH1 - N Y AH0 W - AH0 N - L IY0 +GENUINELY(2) JH EH1 - N Y UW1 - W AY2 N - L IY0 +GENUINENESS JH EH1 - N Y AH0 W - AH0 N - IH0 S +GENUNG JH EH1 - N AH0 NG +GENUS JH IY1 - N AH0 S +GENZ JH EH1 N Z +GENZYME JH EH1 N - Z AY2 M +GEO JH IY1 - OW0 +GEOCENTRIC JH IY2 - OW0 - S EH1 N - T R IH0 K +GEOCHEMISTRY JH IY2 - OW0 - K EH1 - M AH0 - S T R IY0 +GEODESIC JH IY2 - AH0 - D EH1 - S IH0 K +GEODESY JH IY0 - AA1 - D AH0 - S IY0 +GEODYNE JH IY1 - OW0 - D AY2 N +GEOFF JH EH1 F +GEOFFREY JH EH1 - F R IY0 +GEOFFREY'S JH EH1 - F R IY0 Z +GEOFFRION JH IY2 - AA1 - F R IY0 - AH0 N +GEOFFROY JH IY1 - AH0 - F R OY0 +GEOGHEGAN G AH0 - HH EY1 - G AH0 N +GEOGRAPHER JH IY0 - AA1 - G R AH0 - F ER0 +GEOGRAPHIC JH IY2 - AH0 - G R AE1 - F IH0 K +GEOGRAPHIC'S JH IY2 - AH0 - G R AE1 - F IH0 K S +GEOGRAPHICAL JH IY2 - AH0 - G R AE1 - F IH0 - K AH0 L +GEOGRAPHICALLY JH IY2 - AH0 - G R AE1 - F IH0 - K AH0 - L IY0 +GEOGRAPHICALLY(2) JH IY2 - AH0 - G R AE1 - F IH0 K - L IY0 +GEOGRAPHY JH IY0 - AA1 - G R AH0 - F IY0 +GEOID JH IY1 - OY0 D +GEOLOGIC JH IY2 - AH0 - L AA1 - JH IH0 K +GEOLOGICAL JH IY2 - AH0 - L AA1 - JH IH0 - K AH0 L +GEOLOGIST JH IY0 - AA1 - L AH0 - JH AH0 S T +GEOLOGISTS JH IY0 - AA1 - L AH0 - JH IH0 S T S +GEOLOGISTS(2) JH IY0 - AA1 - L AH0 - JH IH0 S S +GEOLOGISTS(3) JH IY0 - AA1 - L AH0 - JH IH0 S +GEOLOGY JH IY0 - AA1 - L AH0 - JH IY0 +GEOMAGNETIC JH IY2 - OW0 - M AE0 G - N EH1 - T IH0 K +GEOMETRIC JH IY2 - AH0 - M EH1 - T R IH0 K +GEOMETRICAL JH IY2 - AH0 - M EH1 - T R IH0 - K AH0 L +GEOMETRICALLY JH IY2 - AH0 - M EH1 - T R IH0 K - L IY0 +GEOMETRICS JH IY2 - AH0 - M EH1 - T R IH0 K S +GEOMETRIES JH IY0 - AA1 - M AH0 - T R IY0 Z +GEOMETRY JH IY0 - AA1 - M AH0 - T R IY0 +GEOMORPHOLOGY JH IY2 - AH0 - M AO2 R - F AA1 - L AH0 - JH IY0 +GEON JH IY1 - AA0 N +GEOPHYSICAL JH IY2 - OW0 - F IH1 - Z AH0 - K AH0 L +GEOPOLITIC JH IY2 - OW0 - P AA1 - L IH0 - T IH0 K +GEOPOLITICAL JH IY2 - OW0 - P AH0 - L IH1 - T IH0 - K AH0 L +GEOPOLITICALLY JH IY2 - OW0 - P AH0 - L IH1 - T IH0 K - L IY0 +GEOPOLITICS JH IY2 - OW0 - P AA1 - L AH0 - T IH0 K S +GEORDIE JH IY1 - ER0 - D IY0 +GEORG G EY1 - AO0 R G +GEORGAKIS JH AO2 R - JH AA1 - K AH0 S +GEORGANN JH AO2 R - JH AE1 N +GEORGE JH AO1 R JH +GEORGE'S JH AO1 R - JH AH0 Z +GEORGE'S(2) JH AO1 R - JH IH0 Z +GEORGENE JH AO1 R - JH IY2 N +GEORGES JH AO1 R - JH AH0 Z +GEORGES(2) JH AO1 R - JH IH0 Z +GEORGESON JH AO1 R - JH IH0 - S AH0 N +GEORGESON(2) JH AO1 R JH - S AH0 N +GEORGETOWN JH AO1 R JH - T AW2 N +GEORGETTE JH AO0 R - JH EH1 T +GEORGI JH IY0 - AA1 R - JH IY0 +GEORGIA JH AO1 R - JH AH0 +GEORGIA'S JH AO1 R - JH AH0 Z +GEORGIADES JH AO2 R - JH IY0 - AA1 - D AH0 S +GEORGIADIS JH AO2 R - JH IY0 - AA1 - D IH0 S +GEORGIAN JH AO1 R - JH AH0 N +GEORGIANA JH AO2 R - JH IY0 - AE1 - N AH0 +GEORGIANS JH AO1 R - JH AH0 N Z +GEORGIE JH AO1 R - JH IY0 +GEORGIENNE JH AO2 R - JH IY0 - EH1 N +GEORGINA JH AO2 R - JH IY1 - N AH0 +GEORGINE JH AO2 R - JH IY1 N +GEORGIO JH AO1 R - JH IY2 - OW0 +GEORGIOU JH AO2 R - JH OW1 +GEORGOPOULOS JH AO2 R - JH AA1 - P AH0 - L IH0 S +GEORGY JH AO1 R - JH IY0 +GEOSTROPHIC JH IY2 - OW0 - S T R AA1 - F IH0 K +GEOSYNCLINE JH IY2 - OW0 - S IH1 N - K L AY0 N +GEOTAXIS JH IY2 - OW0 - T AE1 K - S AH0 S +GEOTEK G IY1 - OW0 - T EH2 K +GEOTHERMAL JH IY2 - OW0 - TH ER1 - M AH0 L +GEOTROPIC JH IY2 - AH0 - T R AA1 - P IH0 K +GEOTROPISM JH IY0 - AA1 - T R AH0 - P IH2 - Z AH0 M +GEOWORKS JH IY1 - OW0 - W ER0 K S +GEPHARDT G EH1 P - HH AA2 R T +GEPHARDT'S G EH1 P - HH AA2 R T S +GEPHART G EH1 P - HH AA0 R T +GEPPERT G EH1 - P ER0 T +GERA JH EH1 - R AH0 +GERACE JH ER0 - AA1 - CH IY0 +GERACI JH ER0 - AA1 - CH IY0 +GERAGHTY JH EH1 - R AH0 - T IY0 +GERAIS JH ER0 - EY1 +GERALD JH EH1 - R AH0 L D +GERALDI JH EH0 - R AE1 L - D IY0 +GERALDI(2) HH EH0 - R AE1 L - D IY0 +GERALDINA JH ER0 - AA0 L - D IY1 - N AH0 +GERALDINE JH EH0 - R AH0 L - D IY1 N +GERALDO JH ER0 - AA1 L - D OW0 +GERALDO(2) HH ER0 - AA1 L - D OW0 +GERALDS JH EH1 - R AH0 L D Z +GERAN JH EH1 - R AH0 N +GERANIUM JH ER0 - EY1 - N IY0 - AH0 M +GERANIUMS JH ER0 - EY1 - N IY0 - AH0 M Z +GERARD JH ER0 - AA1 R D +GERARDI JH ER0 - AA1 R - D IY0 +GERARDO JH ER0 - AA1 R - D OW0 +GERASHCHENKO G EH2 - AH0 - SH EY1 NG - K OW0 +GERASIMOV JH ER0 - AE1 - S IH0 - M AA0 V +GERASIMOV(2) G ER0 - AE1 - S IH0 - M AA0 V +GERBASI JH ER0 - B AA1 - S IY0 +GERBER G ER1 - B ER0 +GERBER'S G ER1 - B ER0 Z +GERBERDING G ER1 - B ER0 - D IH0 NG +GERBERT G ER1 - B ER0 T +GERBIG G ER1 - B IH0 G +GERBINO JH ER0 - B IY1 - N OW0 +GERBRANDT G ER1 - B R AE2 N T +GERCHAS G ER1 - CH AH0 Z +GERCHAS(2) G ER1 - SH AH0 Z +GERD G ER1 D +GERDA G ER1 - D AH0 +GERDEMAN G ER1 D - M AH0 N +GERDES ZH ER1 D Z +GERDES' ZH ER1 D Z +GERDING G EH1 R - T IH0 NG +GERDTS JH ER1 D T S +GERDTS(2) JH ER1 T S +GERE JH IH1 R +GERE(2) G IH1 R +GEREMIA JH ER0 - IY1 - M IY0 - AH0 +GEREN G IH1 - R AH0 N +GERENA JH ER0 - EH1 - N AH0 +GERETY ZH EH1 - R IH0 - T IY0 +GERGEL G ER1 - G AH0 L +GERGELY JH ER1 JH - L IY0 +GERGEN G ER1 - G AH0 N +GERGEN'S G ER1 - G AH0 N Z +GERGER G ER1 - G ER0 +GERGRUDE G ER1 - G R UW0 D +GERHARD G ER1 - HH AA2 R D +GERHARDT G ER1 - HH AA0 R T +GERHART G ER1 - HH AA0 R T +GERHOLD G ER1 - HH OW0 L D +GERIATRIC JH EH2 - R IY0 - AE1 - T R IH0 K +GERIATRICIAN JH EH2 - R IY0 - AH0 - T R IH1 - SH AH0 N +GERIATRICIANS JH EH2 - R IY0 - AH0 - T R IH1 - SH AH0 N Z +GERIATRICS JH EH2 - R IY0 - AE1 - T R IH0 K S +GERICH G EH1 - R IH0 K +GERICKE JH EH1 - R IH0 K +GERIG JH EH1 - R IH0 G +GERING G IH1 - R IH0 NG +GERINGER G EH1 - R IH0 N - JH ER0 +GERK JH ER1 K +GERKE JH ER1 K +GERKEN G ER1 - K AH0 N +GERKIN JH ER1 - K IH0 N +GERLACH G ER1 - L AH0 K +GERLEMAN G AO1 - R AH0 L - M AH0 N +GERLICH G ER1 - L IH0 K +GERLING G ER1 - L IH0 NG +GERLOCK G ER1 - L AH0 K +GERLOFF G ER1 - L AO0 F +GERM JH ER1 M +GERMAIN JH ER0 - M EY1 N +GERMAIN'S JH ER0 - M EY1 N Z +GERMAINE ZH ER0 - M EY1 N +GERMAN JH ER1 - M AH0 N +GERMAN'S JH ER1 - M AH0 N Z +GERMANE JH ER0 - M EY1 N +GERMANI JH ER0 - M AA1 - N IY0 +GERMANIA JH ER0 - M EY1 - N IY0 - AH0 +GERMANIC JH ER0 - M AE1 - N IH0 K +GERMANN G ER1 - M AH0 N +GERMANO JH ER0 - M AA1 - N OW0 +GERMANS JH ER1 - M AH0 N Z +GERMANS' JH ER1 - M AH0 N Z +GERMANTOWN JH ER1 - M AH0 N - T AW2 N +GERMANY JH ER1 - M AH0 - N IY0 +GERMANY'S JH ER1 - M AH0 - N IY0 Z +GERMANYS JH ER1 - M AH0 - N IY0 Z +GERME JH ER1 M +GERMER JH ER1 - M ER0 +GERMICIDE JH ER1 - M AH0 - S AY2 D +GERMINATE JH ER1 - M AH0 - N EY2 T +GERMINATED JH ER1 - M AH0 - N EY2 - T IH0 D +GERMINATION JH ER2 - M AH0 - N EY1 - SH AH0 N +GERMISTON JH ER1 - M AH0 - S T AA2 N +GERMISTON'S JH ER1 - M AH0 - S T AA2 N Z +GERMOND G ER1 - M AH0 N D +GERMS JH ER1 M Z +GERNER G ER1 - N ER0 +GERNERT G ER1 - N ER0 T +GERO JH EH1 - R OW0 +GEROLD G EH1 - R OW0 L D +GEROME G EH1 - R AH0 M +GERON JH EH1 - R AH0 N +GERONIMO JH AH0 - R AO1 - N IH0 - M OW2 +GERONTOLOGIST JH EH2 - R AH0 N - T AA1 - L AH0 - JH IH0 S T +GERONTOLOGY JH EH2 - R AH0 N - T AA1 - L AH0 - JH IY0 +GEROUX ZH ER0 - UW1 +GEROW JH EH1 - R OW0 +GERRALD JH EH1 - R AH0 L D +GERRI JH EH1 - R IY0 +GERRICK JH EH1 - R IH0 K +GERRIE JH EH1 - R IY0 +GERRINGER JH EH1 - R IH0 - NG ER0 +GERRISH JH EH1 - R IH0 SH +GERRIT JH EH1 - R IH0 T +GERRITS JH EH1 - R IH0 T S +GERRITSEN G EH1 - R IH0 T - S AH0 N +GERRITY JH EH1 - R IH0 - T IY0 +GERRY JH EH1 - R IY0 +GERRY'S JH EH1 - R IY0 Z +GERRYMANDER JH EH1 - R IY0 - M AE2 N - D ER0 +GERRYMANDERED JH EH2 - R IY0 - M AE1 N - D ER0 D +GERRYMANDERING JH EH2 - R IY0 - M AE1 N - D ER0 - IH0 NG +GERRYMANDERS JH EH1 - R IY0 - M AE2 N - D ER0 Z +GERSCH G ER1 SH +GERSH G ER1 SH +GERSHMAN G ER1 SH - M AH0 N +GERSHON G ER1 - SH AH0 N +GERSHOWITZ G ER1 - SH AH0 - W IH0 T S +GERSHWIN G ER1 SH - W IH0 N +GERSHWIN'S G ER1 SH - W IH0 N Z +GERSKI G ER1 S - K IY0 +GERSON JH ER1 - S AH0 N +GERSON(2) G ER1 - S AH0 N +GERST G ER1 S T +GERSTEIN G ER1 - S T AY0 N +GERSTEIN(2) G ER1 - S T IY0 N +GERSTEL G ER1 - S T AH0 L +GERSTEN G ER1 - S T AH0 N +GERSTENBERGER G ER1 - S T AH0 N - B ER0 - G ER0 +GERSTENHABER G ER1 - S T AH0 N - HH EY2 - B ER0 +GERSTER G ER1 - S T ER0 +GERSTMAN G ER1 S T - M AH0 N +GERSTNER G ER1 S T - N ER0 +GERSTNER'S G ER1 S T - N ER0 Z +GERSZEWSKI G ER0 - SH EH1 F S - K IY0 +GERT G ER1 T +GERTH G ER1 TH +GERTIE JH ER1 - T IY0 +GERTLER G ER1 - T AH0 L - ER0 +GERTLER(2) G ER1 T - L ER0 +GERTNER G ER1 T - N ER0 +GERTRUD G ER1 - T R UW0 D +GERTRUDE G ER1 - T R UW0 D +GERTSCH G ER1 CH +GERTY JH ER1 - T IY0 +GERTZ G ER1 T S +GERVAIS ZH ER0 - V EY1 +GERVASE G ER1 - V AH0 S +GERVASI JH ER0 - V AA1 - S IY0 +GERVASIO JH ER0 - V AA1 - S IY0 - OW0 +GERWIG G ER1 - W IH0 G +GERWIN G ER1 - W IH0 N +GERY JH EH1 - R IY0 +GESAMTMETALL G EH0 - S AE1 M T - M EH2 - T AH0 L +GESCHKE G EH1 SH K +GESCO G EH1 S - K OW0 +GESELL G EH1 - S AH0 L +GESELL'S G EH1 - S AH0 L Z +GESELLSCHAFT G AH0 - S EH1 L - SH AE0 F T +GESKE JH EH1 S K +GESNER G EH1 S - N ER0 +GESS JH EH1 S +GESSEL G EH1 - S AH0 L +GESSERT G EH1 - S ER0 T +GESSLER G EH1 - S AH0 - L ER0 +GESSLER(2) G EH1 S - L ER0 +GESSNER G EH1 S - N ER0 +GEST JH EH1 S T +GESTAL JH EH1 - S T AH0 L +GESTAPO G AH0 - S T AA1 - P OW0 +GESTATE JH EH1 - S T EY2 T +GESTATION JH EH0 - S T EY1 - SH AH0 N +GESTETNER G AH0 - S T EH1 T - N ER0 +GESTURE JH EH1 S - CH ER0 +GESTURED JH EH1 S - CH ER0 D +GESTURES JH EH1 S - CH ER0 Z +GESTURING JH EH1 S - CH ER0 - IH0 NG +GESUALDI JH EH0 - S UW0 - AA1 L - D IY0 +GET G EH1 T +GET(2) G IH1 T +GET-TOGETHER G EH1 T - T AH0 - G EH1 - DH ER0 +GET-TOGETHER(2) G EH1 - T AH0 - G EH1 - DH ER0 +GET-TOGETHERS G EH1 T - T AH0 - G EH1 - DH ER0 Z +GET-TOGETHERS(2) G EH1 - T AH0 - G EH1 - DH ER0 Z +GET-WELL G EH1 T - W EH1 L +GET-WELL(2) G EH1 T - HH W EH1 L +GETAWAY G EH1 T - AH0 - W EY2 +GETAWAYS G EH1 T - AH0 - W EY2 Z +GETCHELL G EH1 - CH AH0 L +GETER G EH1 - T ER0 +GETHERS G EH1 - DH ER0 Z +GETMAN G EH1 T - M AH0 N +GETS G EH1 T S +GETS(2) G IH1 T S +GETSINGER G EH1 T - S IH0 N - JH ER0 +GETTEL G EH1 - T AH0 L +GETTER G EH1 - T ER0 +GETTERS G EH1 - T ER0 Z +GETTIN' G IH1 - T AH0 N +GETTING G EH1 - T IH0 NG +GETTING(2) G IH1 - T IH0 NG +GETTINGER G EH1 - T IH0 - NG ER0 +GETTINGER(2) G EH1 - T IH0 N - JH ER0 +GETTINGS G EH1 - T IH0 NG Z +GETTIS G EH1 - T IH0 S +GETTLE G EH1 - T AH0 L +GETTLER G EH1 - T AH0 L - ER0 +GETTLER(2) G EH1 T - L ER0 +GETTMAN G EH1 T - M AH0 N +GETTS G EH1 T S +GETTY G EH1 - T IY0 +GETTY'S G EH1 - T IY0 Z +GETTYS G EH1 - T IY0 Z +GETTYSBURG G EH1 - T IY0 Z - B ER0 G +GETULIO G AH0 - CH UW1 - L IY0 - OW0 +GETZ G EH1 T S +GEURIN ZH ER0 - AE1 N +GEURTS ZH ER1 T S +GEVA G EY1 - V AH0 +GEVAERT G AH0 - V EH1 R T +GEVING JH IY1 - V IH0 NG +GEWIRTZ G UW1 - ER0 T S +GEYELIN JH EY2 - IH1 - L IH0 N +GEYER G EY1 - ER0 +GEYSER G AY1 - Z ER0 +GEYSERS G AY1 - Z ER0 Z +GFELLER G AH0 - F EH1 - L ER0 +GHADA G AA1 - D AH0 +GHADAFI G AH0 - D AE1 - F IY0 +GHADAFI(2) K AH0 - D AA1 - F IY0 +GHADAFI(3) G AH0 - D AA1 - F IY0 +GHAFAR G AH0 - F AA1 R +GHAFAR(2) G AO1 - F ER0 +GHALI G AA1 - L IY0 +GHALI'S G AA1 - L IY0 Z +GHANA G AE1 - N AH0 +GHANA'S G AE1 - N AH0 Z +GHANAIAN G AH0 - N AY1 - AH0 N +GHANAIANS G AH0 - N AY1 - AH0 N Z +GHANDI G AA1 N - D IY0 +GHARBONIFAR G AA0 R - B AA1 - N IH0 - F AA0 R +GHASTLINESS G AE1 S T - L IY0 - N AH0 S +GHASTLY G AE1 S T - L IY0 +GHATTAS G AA1 - T AH2 S +GHAZNAVI G AH0 Z - N AA1 - V IY0 +GHEE G IY1 +GHEEN G IY1 N +GHENT G EH1 N T +GHERARDI G ER0 - AA1 R - D IY0 +GHERIG G EH1 - R IH0 G +GHERIG'S G EH1 - R IH0 G Z +GHERMAN G ER1 - M AH0 N +GHETTO G EH1 - T OW0 +GHETTOS G EH1 - T OW0 Z +GHEZ G EH1 Z +GHEZZI G EH1 - Z IY0 +GHIDELLA G IH0 - D EH1 - L AH0 +GHIO G AY1 - OW0 +GHOLAMREZA G OW2 - L AH0 - M R EY1 - Z AH0 +GHOLSON G OW1 L - S AH0 N +GHOLSTON G OW1 L - S T AH0 N +GHORBANIFAR G AO0 R - B AE1 - N IH0 - F AA0 R +GHORBANIFAR(2) G AO0 R - B AA1 - N IH0 - F AA0 R +GHORBANIFAR(3) G AO0 R - B AE1 - N IH0 - F ER0 +GHORBANIFAR(4) G AO0 R - B AA1 - N IH0 - F ER0 +GHORMLEY G AO1 R M - L IY0 +GHOSE G OW1 Z +GHOSH G AA1 SH +GHOST G OW1 S T +GHOSTBUSTER G OW1 S T - B AH2 - S T ER0 +GHOSTBUSTERS G OW1 S T - B AH2 - S T ER0 Z +GHOSTLIKE G OW1 S T - L AY2 K +GHOSTLY G OW1 S T - L IY0 +GHOSTS G OW1 S T S +GHOSTS(2) G OW1 S S +GHOSTS(3) G OW1 S +GHOULISH G UW1 - L IH0 SH +GHRIST G R IH1 S T +GHULAM G Y UW1 - L AE0 M +GHULOUM G UW2 - L OW1 M +GIA'S JH IY1 - AH0 Z +GIACALONE JH AA1 - K AA0 - L OW0 - N IY0 +GIACCO JH AA1 - K OW0 +GIACINTA JH AA1 - CH IY0 N - T AH0 +GIACOBBE JH AA1 - K OW0 - B IY0 +GIACOMELLI JH AH0 - K OW0 - M EH1 - L IY0 +GIACOMETTI JH AH0 - K AH0 - M EH1 - T IY0 +GIACOMINI JH AH0 - K OW0 - M IY1 - N IY0 +GIACOMO JH AA1 - K AH0 - M OW0 +GIACONDA JH IY2 - AH0 - K AA1 N - D AH0 +GIACONDA'S JH IY1 - AH0 - K AA1 N - D AH0 Z +GIACONE JH IY2 - AH0 - K OW1 - N IY0 +GIAIMO JH EY1 - M OW0 +GIALANELLA JH AH0 - L AA0 - N EH1 - L AH0 +GIAMATTI JH IY2 - AH0 - M AA1 - T IY0 +GIAMBALVO JH AA1 M - B AA0 L - V OW0 +GIAMBRA JH AA1 M - B R AH0 +GIAMBRONE JH AA1 M - B R OW0 - N IY0 +GIAMMALVA JH IY2 - AH0 - M AO1 L - V AH0 +GIAMMARCO JH AA1 - M AA0 R - K OW0 +GIAMMARINO JH AH0 - M AA0 - R IY1 - N OW0 +GIAMPA JH AA1 M - P AH0 +GIAMPAOLO JH AA0 M - P AW1 - L OW0 +GIAMPAPA JH AA0 M - P AA1 - P AH0 +GIAMPIETRO JH AA1 M - P IY0 - T R OW0 +GIAN JH IY1 - AA0 N +GIANCANA JH IY0 - AH0 - K AA1 - N AH0 +GIANCARLO JH IY2 - AE0 NG - K AA1 R - L OW0 +GIANCOLA JH AA1 NG - K OW0 - L AH0 +GIANELLI JH AH0 - N EH1 - L IY0 +GIANFRANCESCO JH AA2 N - F R AE0 N - CH EH1 - S K OW0 +GIANFRANCO JH AH0 N - F R AA1 N - K OW0 +GIANFRANCO(2) JH IY1 - AH0 N - F R AE1 N - K OW0 +GIANG JH IY0 - AA1 NG +GIANG(2) JH AA1 NG +GIANGRANDE JH AA1 N - G R AE0 N - D IY0 +GIANINI JH AH0 - N IY1 - N IY0 +GIANINO JH AH0 - N IY1 - N OW0 +GIANNATTASIO JH AA1 - N AA0 - T AA0 - S IY0 - OW0 +GIANNELLI JH AH0 - N EH1 - L IY0 +GIANNETTI JH AH0 - N EH1 - T IY0 +GIANNETTO JH AH0 - N EH1 - T OW0 +GIANNI JH AA1 - N IY0 +GIANNI(2) JH IY0 - AA1 - N IY0 +GIANNI(3) JH Y AA1 - N IY0 +GIANNINI JH AH0 - N IY1 - N IY0 +GIANNINO JH IY2 - AH0 - N IY1 - N OW0 +GIANNOLA JH AA1 - N OW0 - L AH0 +GIANNONE JH AA1 - N OW0 - N IY0 +GIANNOTTI JH AA1 - N OW0 - T IY0 +GIANOTTI JH AA1 - N OW0 - T IY0 +GIANT JH AY1 - AH0 N T +GIANT'S JH AY1 - AH0 N T S +GIANTS JH AY1 - AH0 N T S +GIANTS' JH AY1 - AH0 N T S +GIAP JH IY0 - AE1 P +GIAP(2) JH Y AE1 P +GIAQUINTO JH AA1 K - W IY0 N - T OW0 +GIARD JH IY0 - AA1 R D +GIARD(2) JH AA1 R D +GIARDINA JH AA1 R - D IY0 - N AH0 +GIARDINI JH ER0 - D IY1 - N IY0 +GIARDINO JH ER0 - D IY1 - N OW0 +GIARRATANO JH AA2 - R AH0 - T AA1 - N OW0 +GIARRUSSO JH AA0 - R UW1 - S OW0 +GIB G IH1 B +GIBAS JH AY1 - B AH0 Z +GIBB JH IH1 B +GIBB'S G IH1 B Z +GIBBARD ZH IH0 - B AA1 R D +GIBBENS G IH1 - B AH0 N Z +GIBBERISH G IH1 - B ER0 - IH0 SH +GIBBINS JH IH1 - B IH0 N Z +GIBBLE JH IH1 - B AH0 L +GIBBON G IH1 - B AH0 N +GIBBONEY JH IH1 - B AH0 - N IY0 +GIBBONS G IH1 - B IH0 N Z +GIBBS G IH1 B Z +GIBBS'S G IH1 B - Z IH0 Z +GIBBY JH IH1 - B IY0 +GIBE JH AY1 B +GIBEAU ZH IH0 - B OW1 +GIBEAULT ZH IH0 - B OW1 +GIBERSON JH IH1 - B ER0 - S AH0 N +GIBERT G IH1 - B ER0 T +GIBIAN G IH1 - B IY0 - AH0 N +GIBIAN'S G IH1 - B IY0 - AH0 N Z +GIBLEN G IH1 - B L AH0 N +GIBLER JH IH1 - B AH0 L - ER0 +GIBLER(2) JH IH1 - B L ER0 +GIBLET JH IH1 - B L AH0 T +GIBLIN JH IH1 - B L IH0 N +GIBNEY JH IH1 B - N IY0 +GIBONEY JH IH1 - B AH0 - N IY0 +GIBRALTAR JH IH0 - B R AO1 L - T ER0 +GIBSON G IH1 B - S AH0 N +GIBSON'S G IH1 B - S AH0 N Z +GICK JH IH1 K +GIDCUMB G IH1 D - K AH0 M +GIDDENS G IH1 - D AH0 N Z +GIDDINGS G IH1 - D IH0 NG Z +GIDDY G IH1 - D IY0 +GIDEL G AY1 - D EH2 L +GIDEON G IH1 - D IY0 - AH0 N +GIDGET G IH1 - JH AH0 T +GIDLEY G IH1 D - L IY0 +GIDNEY G IH1 D - N IY0 +GIDWITZ G IH1 D - W IH0 T S +GIEBEL G IY1 - B AH0 L +GIEBLER G IY1 - B AH0 L - ER0 +GIEBLER(2) G IY1 - B L ER0 +GIECK JH IY1 K +GIEFER G IY1 - F ER0 +GIEGER G IY1 - G ER0 +GIEGERICH G IY1 - G ER0 - IH0 K +GIEL JH IY1 L +GIELGUD G IY1 L - G AH0 D +GIELOW JH IY1 - L OW0 +GIENGER G IY1 N - JH ER0 +GIENOW G IY1 - N AW0 +GIER JH IH1 R +GIERE JH IH1 R +GIERHART G IH1 R - HH AA0 R T +GIERKE JH IH1 R K +GIERMAN G IH1 R - M AH0 N +GIERSCH G IH1 R SH +GIES G IY1 Z +GIESBRECHT G IY1 S - B R IH0 K T +GIESE JH IY1 S +GIESECKE G IY1 - S IH0 K +GIESEKE G IY1 - S IH0 K +GIESELER G IY1 - S AH0 - L ER0 +GIESELMAN G IY1 - S AH0 L - M AH0 N +GIESEN G IY1 - S AH0 N +GIESER G IY1 - S ER0 +GIESEY JH IY1 - S IY0 +GIESKE JH IY1 S K +GIESLER G IY1 - S AH0 - L ER0 +GIESLER(2) G IY1 S - L ER0 +GIESSEN G IY1 Z - S AH0 N +GIETZEN G IY1 T - Z AH0 N +GIFF G IH1 F +GIFFARD G IH1 - F ER0 D +GIFFEN G IH1 - F AH0 N +GIFFERD G IH1 - F ER0 D +GIFFIN G IH1 - F IH0 N +GIFFORD G IH1 - F ER0 D +GIFFORD'S G IH1 - F ER0 D Z +GIFFORDS G IH1 - F ER0 D Z +GIFFY G IH1 - F IY0 +GIFT G IH1 F T +GIFTED G IH1 F - T AH0 D +GIFTED(2) G IH1 F - T IH0 D +GIFTING G IH1 F - T IH0 NG +GIFTRUST G IH1 F - T R AH2 S T +GIFTS G IH1 F T S +GIFTS(2) G IH1 F S +GIFTWARE G IH1 F T - W EH2 R +GIG G IH1 G +GIGABYTE G IH1 - G AH0 - B AY2 T +GIGABYTES G IH1 - G AH0 - B AY2 T S +GIGAFLOP G IH1 - G AH0 - F L AA2 P +GIGAFLOPS G IH1 - G AH0 - F L AA2 P S +GIGANTE JH IY0 - G AA1 N - T IY0 +GIGANTIC JH AY0 - G AE1 N - T IH0 K +GIGANTIC(2) JH AY0 - G AE1 - N IH0 K +GIGER G AY1 - G ER0 +GIGGING G IH1 - G IH0 NG +GIGGLE G IH1 - G AH0 L +GIGGLED G IH1 - G AH0 L D +GIGGLES G IH1 - G AH0 L Z +GIGGLING G IH1 - G AH0 L - IH0 NG +GIGGLING(2) G IH1 - G L IH0 NG +GIGGLY G IH1 - G AH0 - L IY0 +GIGI JH IY1 - JH IY0 +GIGLIA JH IY1 G - L IY0 - AH0 +GIGLIO JH IH1 G - L IY0 - OW0 +GIGLIOTTI JH IY0 G - L IY0 - OW1 - T IY0 +GIGNAC G IH1 G - N AH0 K +GIGNOUX G IH0 - N UW1 +GIGOT JH IH1 - G AH0 T +GIGOT'S JH IH1 - G AH0 T S +GIGS G IH1 G Z +GIGUERE JH IY0 - G EH1 - R EY0 +GIKAS G AY1 - K AH0 Z +GIL G IH1 L +GILARDI JH IY0 - L AA1 R - D IY0 +GILB G IH1 L B +GILBERG G IH1 L - B ER0 G +GILBERT G IH1 L - B ER0 T +GILBERT'S G IH1 L - B ER0 T S +GILBERTA JH IY0 L - B EH1 R - T AH0 +GILBERTE G IH1 L - B ER0 T +GILBERTI JH IY0 L - B EH1 R - T IY0 +GILBERTINA JH IY0 L - B ER0 - T IY1 - N AH0 +GILBERTINE JH IY0 L - B ER0 - T IY1 - N IY0 +GILBERTO G IH0 L - B EH1 R - T OW2 +GILBERTO(2) G IH0 L - B ER1 - T OW0 +GILBERTSON G IH1 L - B ER0 T - S AH0 N +GILBEY G IH1 L - B IY0 +GILBO JH IY1 L - B OW0 +GILBOY G IH1 L - B OY0 +GILBREATH G IH1 L - B R EH2 TH +GILBRETH G IH1 L - B R IH0 TH +GILBRIDE G IH1 L - B R AY2 D +GILBY G IH1 L - B IY0 +GILCHREST G IH1 L - K ER0 - IH0 S T +GILCHRIST G IH1 L - K R IH0 S T +GILCREASE G IH0 L - K R IY1 S +GILCREST G IH1 L - K ER0 - IH0 S T +GILCREST(2) G IH1 L - K R EH0 S T +GILD G IH1 L D +GILDA G IH1 L - D AH0 +GILDAY G IH1 L - D EY2 +GILDEA JH IY1 L - D IY0 - AH0 +GILDED G IH1 L - D IH0 D +GILDEN G IH1 L - D AH0 N +GILDER G IH1 L - D ER0 +GILDER'S G IH1 L - D ER0 Z +GILDERSLEEVE G IH1 L - D ER0 - S L IY2 V +GILDING G IH1 L - D IH0 NG +GILDNER G IH1 L D - N ER0 +GILDON G IH1 L - D AH0 N +GILE G AY1 L +GILEAD G IH0 - L IY1 D +GILES JH AY1 L Z +GILFILLAN G IH2 L - F IH1 - L AH0 N +GILFORD G IH1 L - F ER0 D +GILGER G IH1 L - G ER0 +GILGIT G IH1 L - JH IH0 T +GILGORE G IH2 L - G AO1 R +GILHAM G IH1 L - HH AH0 M +GILHOOLY G IH1 L - HH UW0 - L IY0 +GILKERSON G IH1 L - K ER0 - S AH0 N +GILKES G IH1 L K S +GILKESON G IH1 L - K IH0 - S AH0 N +GILKEY G IH1 L - K IY0 +GILKISON G IH1 L - K IH0 - S AH0 N +GILKISONS G IH1 L - K IH0 - S AH0 N Z +GILL G IH1 L +GILL'S G IH1 L Z +GILLAM G IH1 - L AH0 M +GILLAN G IH1 - L AH0 N +GILLAND G IH1 - L AH0 N D +GILLARD ZH IH0 - L AA1 R D +GILLASPIE G IH1 - L AH0 - S P IY0 +GILLASPY G IH1 - L AH0 - S P IY0 +GILLE G AY1 L +GILLEAN G IH1 - L AH0 N +GILLELAND G IH1 - L IH0 - L AE0 N D +GILLEM G IH1 - L IH0 M +GILLEN G IH1 - L AH0 N +GILLEN'S G IH1 - L AH0 N Z +GILLENTINE G IH1 - L AH0 N - T AY2 N +GILLER G IH1 - L ER0 +GILLERAN G IH1 - L ER0 - AE0 N +GILLERS G IH1 - L ER0 Z +GILLES ZH IY1 L +GILLESPIE G AH0 - L EH1 - S P IY0 +GILLET G IH1 - L IH0 T +GILLETT JH IH0 - L IH1 T +GILLETTE JH IH0 - L EH1 T +GILLETTE'S JH IH0 - L EH1 T S +GILLEY G IH1 - L IY0 +GILLHAM G IH1 L - HH AH0 M +GILLIAM G IH1 - L IY0 - AH0 M +GILLIAN JH IH1 - L IY0 - AH0 N +GILLIAND G IH1 - L IY0 - AH0 N D +GILLIARD G IH1 - L IY0 - ER0 D +GILLIATT G IH1 - L IY0 - AE0 T +GILLICK G IH1 - L IH0 K +GILLIE G IH1 - L IY0 +GILLIES G IH1 - L IY0 Z +GILLIG G IH1 - L IH0 G +GILLIGAN G IH1 - L AH0 - G AH0 N +GILLIGAN'S G IH1 - L AH0 - G AH0 N Z +GILLIHAN G IH1 - L AH0 - HH AE0 N +GILLIKIN G IH1 - L AH0 - K AH0 N +GILLILAN G IH1 - L AH0 - L AH0 N +GILLILAND G IH1 - L AH0 - L AH0 N D +GILLIN G IH1 - L IH0 N +GILLINGHAM G IH1 - L IH0 NG - HH AE2 M +GILLINGS G IH1 - L IH0 NG Z +GILLINOV G IH1 - L IH0 - N AA0 V +GILLINS G IH1 - L IH0 N Z +GILLIS G IH1 - L IH0 S +GILLISON G IH1 - L IH0 - S AH0 N +GILLISPIE G AH0 - L EH1 - S P IY0 +GILLMAN G IH1 L - M AH0 N +GILLMORE JH IY1 L - M AO0 R +GILLOCK G IH1 - L AH0 K +GILLOGLY G IH1 - L AH0 G - L IY0 +GILLON G IH1 - L AH0 N +GILLOOLY G IH1 - L UW0 - L IY0 +GILLOOLY'S G IH1 - L UW0 - L IY0 Z +GILLOTT G IH1 - L AH0 T +GILLOTTI JH IY0 - L OW1 - T IY0 +GILLS G IH1 L Z +GILLSON G IH1 L - S AH0 N +GILLUM G IH1 - L AH0 M +GILLY G IH1 - L IY0 +GILMAN G IH1 L - M AH0 N +GILMARTIN G IH0 L - M AA1 R - T IH0 N +GILMER G IH1 L - M ER0 +GILMORE G IH1 L - M AO0 R +GILMOUR ZH IH0 L - M UH1 R +GILPATRICK G IH1 L - P AH0 - T R IH0 K +GILPATRICK(2) G IH0 L - P AE1 - T R IH0 K +GILPIN G IH1 L - P IH0 N +GILREATH G IH1 L - R EH0 TH +GILROY G IH1 L - R OY2 +GILSDORF G IH1 L S - D AO0 R F +GILSON G IH1 L - S AH0 N +GILSTRAP G IH1 L - S T R AH0 P +GILT G IH1 L T +GILTNER G IH1 L T - N ER0 +GILTS G IH1 L T S +GILVIN G IH1 L - V IH0 N +GILYARD ZH AH0 L - Y AA1 R D +GIMBEL G IH1 M - B AH0 L +GIMENEZ JH IY0 - M EY1 - N EH0 Z +GIMLIN G IH1 M - L IH0 N +GIMME G IH1 - M IY0 +GIMMICK G IH1 - M IH0 K +GIMMICKRY G IH1 - M IH0 - K R IY0 +GIMMICKS G IH1 - M IH0 K S +GIMMICKY G IH0 - M IH1 - K IY0 +GIMPEL G IH1 M - P AH0 L +GIN JH IH1 N +GINA JH IY1 - N AH0 +GINA'S JH IY1 - N AH0 Z +GINANDJAR JH IH0 - N AE1 N - JH ER0 +GINAS JH IY1 - N AH0 Z +GINDER G AY1 N - D ER0 +GINDIN G IH1 N - D IH0 N +GINDLESPERGER G IH1 N - D AH0 L - S P ER0 - G ER0 +GINES JH AY1 N Z +GINEVRA JH IH0 - N EH1 - V R AH0 +GING JH IH1 NG +GINGELL G IH1 NG - G AH0 L +GINGER JH IH1 N - JH ER0 +GINGERBREAD JH IH1 N - JH ER0 - B R EH2 D +GINGERICH G IH1 NG - G ER0 - IH0 K +GINGERLY JH IH1 N - JH ER0 - L IY0 +GINGERY JH IH1 N - JH ER0 - IY0 +GINGHAM G IH1 - NG AH0 M +GINGHAMS G IH1 - NG AH0 M Z +GINGLES JH IH1 NG - G AH0 L Z +GINGOLD JH IH1 N - G OW2 L D +GINGOLD(2) G IH1 N - G OW2 L D +GINGRAS G IH1 NG - G R AH0 Z +GINGRICH G IH1 NG - G R IH0 CH +GINGRICH'S G IH1 NG - G R IH0 - CH IH0 Z +GINGRICHES G IH1 NG - G R IH0 - CH IH0 Z +GINLEY JH IH1 N - L IY0 +GINN JH IH1 N +GINNED JH IH1 N D +GINNELL JH IH0 - N EH1 L +GINNIE JH IH1 - N IY0 +GINNING JH IH1 - N IH0 NG +GINNY JH IH1 - N IY0 +GINO JH IY1 - N OW0 +GINOCCHIO JH IY0 - N OW1 - K IY0 - OW0 +GINSBERG G IH1 N S - B ER0 G +GINSBURG G IH1 N Z - B ER0 G +GINSBURG'S G IH1 N Z - B ER0 G Z +GINSENG JH IH1 N - S EH2 NG +GINSU G IH1 N - S UW0 +GINSU'S G IH1 N - S UW0 Z +GINTEL JH IH1 N - T EH2 L +GINTER G IH1 N - T ER0 +GINTHER G IH1 N - DH ER0 +GINTING JH IH1 N - T IH1 NG +GINTY JH IH1 N - T IY0 +GINTZ G IH1 N T S +GINYARD JH IH1 N - Y AA2 R D +GINZA G IH1 N - Z AH0 +GINZBERG G IH1 N Z - B ER0 G +GIOIA JH OW1 - Y AH0 +GIONET JH IY0 - OW1 - N EY0 T +GIONFRIDDO JH OW0 N - F R IY1 - D OW0 +GIORDANI JH AO0 R - D AA1 - N IY0 +GIORDANO JH AO0 R - D AA1 - N OW0 +GIORGI JH AO1 R - JH IY0 +GIORGIA JH AO1 R - JH AH0 +GIORGIO JH AO1 R - JH IY0 - OW0 +GIOVANELLI JH OW0 - V AA0 - N EH1 - L IY0 +GIOVANETTI JH OW0 - V AA0 - N EH1 - T IY0 +GIOVANNETTI JH OW0 - V AA0 - N EH1 - T IY0 +GIOVANNI JH IY2 - OW0 - V AA1 - N IY0 +GIOVANNI'S JH IY2 - OW0 - V AA1 - N IY0 Z +GIOVANNI'S(2) JH AH0 - V AA1 - N IY0 Z +GIOVANNI(2) JH AH0 - V AA1 - N IY0 +GIOVANNIELLO JH OW0 - V AA2 - N IY0 - EH1 - L OW0 +GIOVANNINI JH OW0 - V AA0 - N IY1 - N IY0 +GIOVANNONI JH OW0 - V AA0 - N OW1 - N IY0 +GIOVENCO JH OW0 - V EH1 N - K OW0 +GIOVINAZZO JH OW0 - V IY0 - N AA1 - Z OW0 +GIPE JH AY1 P +GIPP JH IH1 P +GIPPER G IH1 - P ER0 +GIPPLE JH IH1 - P AH0 L +GIPSON G IY1 P - S AH0 N +GIRAFFE JH ER0 - AE1 F +GIRAFFES JH ER0 - AE1 F S +GIRALDO JH IH0 - R AA1 L - D OW0 +GIRARD JH ER0 - AA1 R D +GIRARDI JH IH0 - R AA1 R - D IY0 +GIRARDIN ZH AO1 - R AA0 R - D AE0 N +GIRARDOT ZH AO1 - R AA0 R - D OW0 +GIRAUD ZH AY0 - R OW1 +GIRD G ER1 D +GIRDER G ER1 - D ER0 +GIRDERS G ER1 - D ER0 Z +GIRDING G ER1 - D IH0 NG +GIRDLE G ER1 - D AH0 L +GIRDLER G ER1 - D AH0 L - ER0 +GIRDLER(2) G ER1 D - L ER0 +GIRDLEY G ER1 D - L IY0 +GIRDNER G ER1 D - N ER0 +GIRDS G ER1 D Z +GIRE G AY1 R +GIREN G IH1 - R AH0 N +GIREN(2) JH IH1 - R AH0 N +GIRGENTI JH IH0 R - JH EH1 N - T IY0 +GIRGIS G ER1 - G IH0 S +GIRIJA G IH2 - R IY1 - JH AH0 +GIRL G ER1 L +GIRL'S G ER1 L Z +GIRLFRIEND G ER1 L - F R EH2 N D +GIRLFRIEND'S G ER1 L - F R EH2 N D Z +GIRLFRIENDS G ER1 L - F R EH2 N D Z +GIRLHOOD G ER1 L - HH UH2 D +GIRLIE G ER1 - L IY0 +GIRLISH G ER1 - L IH0 SH +GIRLISHLY G ER1 - L IH0 SH - L IY0 +GIRLS G ER1 L Z +GIRLS' G ER1 L Z +GIROBANK G IH1 - R OW0 - B AE2 NG K +GIROD ZH ER0 - AA1 D +GIROIR ZH AY0 R - W AA1 R +GIROLAMO JH IH0 - R OW0 - L AA1 - M OW0 +GIROLDI G IH0 - R OW1 L - D IY0 +GIROLDI'S G IH0 - R OW1 L - D IY0 Z +GIRON G AO1 - R AH0 N +GIROUARD ZH AY1 - R UW0 - ER0 D +GIROUX G IH0 - R UW1 +GIROZENTRALE G IH0 - R OW1 - Z AH0 N - T R AA2 L +GIRSKY G ER1 S - K IY0 +GIRT G ER1 T +GIRTEN G ER1 - T AH0 N +GIRTH G ER1 TH +GIRTMAN G ER1 T - M AH0 N +GIRTON G ER1 - T AH0 N +GIRVAN G ER1 - V AH0 N +GIRVEN G ER1 - V AH0 N +GIRVIN G ER1 - V IH0 N +GISBERT JH IH1 S - B ER0 T +GISBERT(2) G IH1 S - B ER0 T +GISCARD G IH0 S - K AA1 R D +GISCARD(2) ZH IH0 S - K AA1 R +GISCLAIR ZH IH0 S - K L EH1 R +GISELA G IY1 - Z AH0 - L AH0 +GISELLA JH IH0 - S EH1 - L AH0 +GISELLE ZH IH0 - S EH1 L +GISENYI JH IH0 - S EH1 - N IY0 +GISENYI(2) JH IH0 - S EH1 - N Y IY0 +GISH JH IH1 SH +GISH(2) G IH1 SH +GISI JH IY1 - S IY0 +GISLER G IH1 - S AH0 - L ER0 +GISLER(2) G IH1 S - L ER0 +GISMONDI JH IY0 S - M OW1 N - D IY0 +GISSENDANNER G IH1 - S IH0 N - D AH0 N - ER0 +GISSI G IH1 - S IY0 +GIST JH IH1 S T +GITANA JH IY0 - T AE1 - N AH0 +GITANO G IH0 - T AA1 - N OW0 +GITANO'S G IH0 - T AA1 - N OW0 Z +GITCHELL JH IH1 - CH AH0 L +GITHA JH IH1 - DH AH0 +GITHENS G IH1 - TH AH0 N Z +GITLIN JH IH1 T - L IH0 N +GITTELMAN G IH1 - T AH0 L - M AH0 N +GITTENS G IH1 - T AH0 N Z +GITTER G IH1 - T ER0 +GITTINGS JH IH1 - T IH0 NG Z +GITTINS JH IH1 - T IH0 N Z +GITTIS JH IH1 - T AH0 S +GITTIS(2) G IH1 - T IH0 S +GITTLEMAN G IH1 - T AH0 L - M AH0 N +GITTLEMAN'S G IH1 - T AH0 L - M AH0 N Z +GITTLER G IH1 T - L ER0 +GITTO JH IY1 - T OW0 +GIUDICE JH UW1 - D IH0 - S IY0 +GIUDICI JH UW1 - D IH0 - CH IY0 +GIUFFRE JH UW1 - F R IY0 +GIUFFRE'S JH UW1 - F R IY0 Z +GIUFFRIDA JH UW1 - F R IY0 - D AH0 +GIULIANI JH UW2 - L IY0 - AA1 - N IY0 +GIULIANI'S JH UW2 - L IY0 - AA1 - N IY0 Z +GIULIANO JH UW2 - L IY0 - AA1 - N OW0 +GIULIO JH UW1 - L IY0 - OW0 +GIUNTA JH UW1 N - T AH0 +GIURESCU JH UW2 - R EH1 - S K UW0 +GIUSEPPE JH IH0 - S EH1 - P IY0 +GIUSTI JH UW1 - S T IY0 +GIUSTO JH UW1 - S T OW0 +GIVAN G IH1 - V AH0 N +GIVE G IH1 V +GIVEAWAY G IH1 - V AH0 - W EY2 +GIVEAWAYS G IH1 - V AH0 - W EY2 Z +GIVEBACK G IH1 V - B AE2 K +GIVEBACKS G IH1 V - B AE2 K S +GIVEN G IH1 - V AH0 N +GIVEN(2) G IH1 - V IH0 N +GIVENCHY G IH0 - V EH1 N - CH IY0 +GIVENNESS G IH1 - V AH0 - N AH0 S +GIVENS G IH1 - V AH0 N Z +GIVENS'S G IH1 - V AH0 N - Z IH0 Z +GIVER G IH1 - V ER0 +GIVERS G IH1 - V ER0 Z +GIVES G IH1 V Z +GIVETH G IH1 - V EH0 TH +GIVHAN G IH1 V - HH AH0 N +GIVIN' G IH1 - V IH0 N +GIVING G IH1 - V IH0 NG +GIVINS G IH1 - V IH0 N Z +GIVLER G IH1 V - L ER0 +GIZA G IH1 - Z AH0 +GIZA(2) G IY1 - Z AH0 +GIZBERT G IH1 Z - B ER0 T +GIZBERT'S G IH1 Z - B ER0 T S +GIZMO G IH1 Z - M OW2 +GIZMOS G IH1 Z - M OW0 Z +GIZZARD G IH1 - Z ER0 D +GIZZI JH IY1 T - S IY0 +GJELTEN JH EH1 L - T AH0 N +GJELTEN'S JH EH1 L - T AH0 N Z +GJERDE JH ER1 D +GLAAB G L AA1 B +GLAB G L AE1 B +GLACE G L EY1 S +GLACIAL G L EY1 - SH AH0 L +GLACIATE G L EY1 - SH IY0 - EY2 T +GLACIATE(2) G L EY1 - S IY0 - EY2 T +GLACIATED G L EY1 - SH IY0 - EY2 - T AH0 D +GLACIATED(2) G L EY1 - S IY0 - EY2 - T AH0 D +GLACIATION G L EY2 - SH IY0 - EY1 - SH AH0 N +GLACIER G L EY1 - SH ER0 +GLACIER'S G L EY1 - SH ER0 Z +GLACIERS G L EY1 - SH ER0 Z +GLACIS G L EY1 - S AH0 S +GLACKEN G L AE1 - K AH0 N +GLACKIN G L AE1 - K IH0 N +GLAD G L AE1 D +GLADD G L AE1 D +GLADDEN G L AE1 - D AH0 N +GLADDING G L AE1 - D IH0 NG +GLADDOCK G L AE1 - D AH0 K +GLADE G L EY1 D +GLADES G L EY1 D Z +GLADFELTER G L AE1 D - F EH2 L - T ER0 +GLADHILL G L AE1 D - HH IH2 L +GLADIATOR G L AE1 - D IY0 - EY2 - T ER0 +GLADIATORS G L AE1 - D IY0 - EY2 - T ER0 Z +GLADIEUX G L AE1 - D IY0 - OW0 +GLADIOLUS G L AE2 - D IY0 - OW1 - L AH0 S +GLADIS G L AE1 - D IH0 S +GLADISH G L AE1 - D IH0 SH +GLADJE G L AE1 D - JH IY2 +GLADLY G L AE1 D - L IY0 +GLADMAN G L AE1 D - M AH0 N +GLADNEY G L AE1 D - N IY0 +GLADSON G L AE1 D - S AH0 N +GLADSTEIN G L AE1 D - S T AY2 N +GLADSTEIN(2) G L AE1 D - S T IY2 N +GLADSTONE G L AE1 D - S T OW2 N +GLADSTONES G L AE1 D - S T OW2 N Z +GLADU G L EY1 - D UW0 +GLADWELL G L AE1 D - W EH2 L +GLADWIN G L AE1 D - W IH0 N +GLADYS G L AE1 - D IH0 S +GLAESER G L EY1 - Z ER0 +GLAHN G L AE1 N +GLAMOR G L AE1 - M ER0 +GLAMORIZE G L AE1 - M ER0 - AY2 Z +GLAMORIZED G L AE1 - M ER0 - AY0 Z D +GLAMORIZING G L AE1 - M ER0 - AY0 - Z IH0 NG +GLAMOROUS G L AE1 - M ER0 - AH0 S +GLAMOUR G L AE1 - M ER0 +GLANCE G L AE1 N S +GLANCED G L AE1 N S T +GLANCES G L AE1 N - S IH0 Z +GLANCING G L AE1 N - S IH0 NG +GLANCY G L AE1 N - S IY0 +GLAND G L AE1 N D +GLANDER G L AE1 N - D ER0 +GLANDON G L AE1 N - D AH0 N +GLANDS G L AE1 N D Z +GLANDULAR G L AE1 N - JH AH0 - L ER0 +GLANTON G L AE1 N - T AH0 N +GLANTZ G L AE1 N T S +GLANVILLE G L AE1 N - V IH2 L +GLANZ G L AE1 N Z +GLANZER G L AE1 N - Z ER0 +GLANZMAN G L AE1 N Z - M AH0 N +GLARE G L EH1 R +GLARED G L EH1 R D +GLARES G L EH1 R Z +GLARING G L EH1 - R IH0 NG +GLARIS G L EH1 - R IH0 S +GLAS G L AE1 S +GLASBY G L AE1 S - B IY0 +GLASCO G L AA1 - S K OW0 +GLASCOCK G L AE1 S - K AH0 K +GLASCOE G L AE1 - S K OW0 +GLASER G L EY1 - Z ER0 +GLASGOW G L AE1 - S K OW2 +GLASGOW(2) G L AE1 S - G OW2 +GLASHEEN G L AH0 - SH IY1 N +GLASHOW G L AE1 - SH AW0 +GLASNER G L AE1 S - N ER0 +GLASNOST G L AE1 S - N AA0 S T +GLASNOST(2) G L AO1 S T - N OW2 S T +GLASNOST(3) G L AO1 S - N OW2 S T +GLASOW G L EY1 - Z OW0 +GLASPER G L AE1 - S P ER0 +GLASPIE G L AE1 - S P IY0 +GLASPY G L AE1 - S P IY0 +GLASS G L AE1 S +GLASS'S G L AE1 - S IH0 Z +GLASSBERG G L AE1 S - B ER0 G +GLASSBLOWER G L AE1 S - B L OW2 - ER0 +GLASSBLOWERS G L AE1 S - B L OW2 - ER0 Z +GLASSBLOWING G L AE1 S - B L OW2 - IH0 NG +GLASSBURN G L AE1 S - B ER2 N +GLASSCO G L AE1 - S K OW0 +GLASSCOCK G L AE1 S - K AA2 K +GLASSED G L AE1 S T +GLASSER G L AE1 - S ER0 +GLASSES G L AE1 - S AH0 Z +GLASSES(2) G L AE1 - S IH0 Z +GLASSEY G L AE1 - S IY0 +GLASSFORD G L AE1 S - F AO0 R D +GLASSLIKE G L AE1 S - L AY2 K +GLASSMAKER G L AE1 S - M EY2 - K ER0 +GLASSMAKING G L AE1 S - M EY2 - K IH0 NG +GLASSMAN G L AE1 S - M AE2 N +GLASSMAN(2) G L AE1 S - M AH0 N +GLASSMEYER G L AE1 S - M AY0 - ER0 +GLASSNER G L AE1 S - N ER0 +GLASSON G L AE1 - S AH0 N +GLASSWARE G L AE1 S - W EH2 R +GLASSY G L AE1 - S IY0 +GLASTETTER G L AE1 - S T IH0 - T ER0 +GLATFELTER G L AE1 T - F IH0 L - T ER0 +GLATT G L AE1 T +GLATZ G L AE1 T S +GLATZER G L EY1 T - Z ER0 +GLAUB G L AO1 B +GLAUBER G L AW1 - B ER0 +GLAUCOMA G L AO0 - K OW1 - M AH0 +GLAUDE G L AO1 D +GLAUS G L AO1 Z +GLAUSER G L AW1 - S ER0 +GLAVAN G L EY1 - V AH0 N +GLAVIN G L AE1 - V IH0 N +GLAVINE G L AE0 - V IH1 N +GLAVINE(2) G L AE0 - V IY1 N +GLAWE G L AO1 +GLAXO G L AE1 K - S OW0 +GLAXO'S G L AE1 K - S OW0 Z +GLAZA G L AA1 - Z AH0 +GLAZE G L EY1 Z +GLAZEBROOK G L EY1 Z - B R UH2 K +GLAZED G L EY1 Z D +GLAZENER G L AE1 - Z IY0 - N ER0 +GLAZER G L EY1 - Z ER0 +GLAZES G L EY1 - Z AH0 Z +GLAZES(2) G L EY1 - Z IH0 Z +GLAZIER G L EY1 - Z IY0 - ER0 +GLAZING G L EY1 - Z IH0 NG +GLAZNER G L AE1 Z - N ER0 +GLAZUNOV G L AE1 - Z UW0 - N AA0 V +GLEACHER G L IY1 - CH ER0 +GLEAM G L IY1 M +GLEAMED G L IY1 M D +GLEAMING G L IY1 - M IH0 NG +GLEAMS G L IY1 M Z +GLEAN G L IY1 N +GLEANED G L IY1 N D +GLEASON G L IY1 - S AH0 N +GLEASON'S G L IY1 - S AH0 N Z +GLEATON G L IY1 - T AH0 N +GLEAVE G L IY1 V +GLEAVES G L IY1 V Z +GLEBA G L IY1 - B AH0 +GLECKLER G L EH1 K - L ER0 +GLEDA G L EY1 - D AH0 +GLEDHILL G L EH1 D - HH IH2 L +GLEE G L IY1 +GLEEFUL G L IY1 - F AH0 L +GLEEFULLY G L IY1 - F AH0 - L IY0 +GLEESON G L IY1 - Z AH0 N +GLEGHORN G L EH1 G - HH ER0 N +GLEICH G L AY1 K +GLEICHAUF G L AY1 - K AO0 F +GLEIM G L IY1 M +GLEISNER G L AY1 S - N ER0 +GLEMP G L EH1 M P +GLEN G L EH1 N +GLENAYRE G L EH2 - N EH1 R +GLENAYRE(2) G L EH2 - N AY1 R +GLENBROOK G L EH1 N - B R UH2 K +GLENDA G L EH1 N - D AH0 +GLENDALE G L EH1 N - D EY2 L +GLENDENING G L EH1 N - D AH0 - N IH0 NG +GLENDENNING G L EH1 N - D IH0 - N IH0 NG +GLENDINNING G L EH1 N - D IH0 - N IH0 NG +GLENDON G L EH1 N - D OW0 N +GLENFED G L EH1 N - F EH2 D +GLENFED'S G L EH1 N - F EH2 D Z +GLENGARRY G L EH2 N - G EH1 - R IY0 +GLENHAM G L EH1 N - HH AH0 M +GLENHAM(2) G L EH1 - N AH0 M +GLENMORE G L EH1 N - M AO2 R +GLENN G L EH1 N +GLENN'S G L EH1 N Z +GLENNA G L EH1 - N AH0 +GLENNIE G L EH1 - N IY0 +GLENNON G L EH1 - N AH0 N +GLENNY G L EH1 - N IY0 +GLENS G L EH1 N Z +GLENVIEW G L EH1 N - V Y UW2 +GLENVILLE G L EH1 N - V IH0 L +GLENWOOD G L EH1 N - W UH2 D +GLENWOOD'S G L EH1 N - W UH2 D Z +GLESS G L EH1 S +GLESSNER G L EH1 S - N ER0 +GLEW G L UW1 +GLIB G L IH1 B +GLIBLY G L IH1 - B L IY0 +GLICK G L IH1 K +GLICKENHAUS G L IH1 - K AH0 N - HH AW2 S +GLICKMAN G L IH1 K - M AH0 N +GLICKMAN'S G L IH1 K S - M AH0 N Z +GLICKSMAN G L IH1 K S - M AH0 N +GLICKSTEIN G L IH1 K S - T IY2 N +GLICKSTEIN(2) G L IH1 K - S T AY2 N +GLIDDEN G L IH1 - D AH0 N +GLIDE G L AY1 D +GLIDED G L AY1 - D IH0 D +GLIDER G L AY1 - D ER0 +GLIDERS G L AY1 - D ER0 Z +GLIDES G L AY1 D Z +GLIDEWELL G L AY1 D - W EH2 L +GLIDING G L AY1 - D IH0 NG +GLIMCHER G L IH1 M - CH ER0 +GLIMMER G L IH1 - M ER0 +GLIMMERING G L IH1 - M ER0 - IH0 NG +GLIMMERS G L IH1 - M ER0 Z +GLIMPSE G L IH1 M P S +GLIMPSED G L IH1 M P S T +GLIMPSES G L IH1 M P - S IH0 Z +GLINES G L AY1 N Z +GLINKA G L IH1 NG - K AH0 +GLINSKI G L IH1 N - S K IY0 +GLINT G L IH1 N T +GLINTING G L IH1 N - T IH0 NG +GLISSANDI G L AH0 - S AA1 N - D IY0 +GLISSON G L IH1 - S AH0 N +GLISTEN G L IH1 - S AH0 N +GLISTENED G L IH1 - S AH0 N D +GLISTENING G L IH1 - S AH0 N - IH0 NG +GLISTENING(2) G L IH1 S - N IH0 NG +GLITCH G L IH1 CH +GLITCHES G L IH1 - CH IH0 Z +GLITTER G L IH1 - T ER0 +GLITTERED G L IH1 - T ER0 D +GLITTERING G L IH1 - T ER0 - IH0 NG +GLITTERS G L IH1 - T ER0 Z +GLITTERY G L IH1 - T ER0 - IY0 +GLITZ G L IH1 T S +GLITZY G L IH1 T - S IY0 +GLO G L OW1 +GLOAM G L OW1 M +GLOAMING G L OW1 - M IH0 NG +GLOAT G L OW1 T +GLOATED G L OW1 - T IH0 D +GLOATING G L OW1 - T IH0 NG +GLOATS G L OW1 T S +GLOB G L AA1 B +GLOBAL G L OW1 - B AH0 L +GLOBAL'S G L OW1 - B AH0 L Z +GLOBALIZATION G L OW2 - B AH0 L - IH0 - Z EY1 - SH AH0 N +GLOBALIZE G L OW1 - B AH0 L - AY2 Z +GLOBALIZED G L OW1 - B AH0 L - AY2 Z D +GLOBALLY G L OW1 - B AH0 L - IY0 +GLOBALSTAR G L OW1 - B AH0 L - S T AA2 R +GLOBCOM G L AA1 B - K AA0 M +GLOBE G L OW1 B +GLOBE'S G L OW1 B Z +GLOBES G L OW1 B Z +GLOBETROTTER G L OW1 B - T R AO0 - T ER0 +GLOBETROTTERS G L OW1 B - T R AO0 - T ER0 Z +GLOBEX G L OW1 - B AH0 K S +GLOBO G L OW1 - B OW0 +GLOBS G L AA1 B Z +GLOBULAR G L AA1 - B Y AH0 - L ER0 +GLOBULIN G L AA1 - B Y AH0 - L IH0 N +GLOBULINS G L AA1 - B Y AH0 - L IH0 N Z +GLOBUS G L OW1 - B AH0 S +GLOCK G L AA1 K +GLOCKENSPIEL G L AA1 - K AH0 N - S P IY2 L +GLOCKNER G L AA1 K - N ER0 +GLOD G L AA1 D +GLODOWSKI G L AH0 - D AO1 F S - K IY0 +GLOE G L OW1 +GLOECKNER G L OW1 K - N ER0 +GLOEDE G L OW1 D +GLOGOWSKI G L AH0 - G AO1 F S - K IY0 +GLOMAR G L OW1 - M AA0 R +GLOMB G L AA1 M +GLOMSKI G L AA1 M - S K IY2 +GLONASS G L AA1 - N AH0 S +GLOOM G L UW1 M +GLOOMIER G L UW1 - M IY0 - ER0 +GLOOMILY G L UW1 - M AH0 - L IY0 +GLOOMY G L UW1 - M IY0 +GLOOR G L UH1 R +GLOP G L AA1 P +GLOPPY G L AA1 - P IY0 +GLOR G L AO1 R +GLORE G L AO1 R +GLORI G L AO1 - R IY0 +GLORIA G L AO1 - R IY0 - AH0 +GLORIANA G L AO2 - R IY0 - AE1 - N AH0 +GLORIANE G L AO2 - R IY0 - AE1 N +GLORIES G L AO1 - R IY0 Z +GLORIFICATION G L AO2 - R AH0 - F IH0 - K EY1 - SH AH0 N +GLORIFICATION(2) G L AO2 - R IH0 - F IH0 - K EY1 - SH AH0 N +GLORIFIED G L AO1 - R AH0 - F AY2 D +GLORIFIES G L AO1 - R AH0 - F AY2 Z +GLORIFY G L AO1 - R AH0 - F AY2 +GLORIFYING G L AO1 - R AH0 - F AY2 - IH0 NG +GLORIOSO G L AO0 - R IY0 - OW1 - S OW0 +GLORIOUS G L AO1 - R IY0 - AH0 S +GLORIOUSLY G L AO1 - R IY0 - AH0 S - L IY0 +GLORY G L AO1 - R IY0 +GLOSS G L AO1 S +GLOSSARY G L AO1 - S ER0 - IY0 +GLOSSED G L AO1 S T +GLOSSER G L AO1 - S ER0 +GLOSSES G L AO1 - S IH0 Z +GLOSSIER G L AO1 - S IY0 - ER0 +GLOSSMAN G L AO1 S - M AH0 N +GLOSSON G L AA1 - S AH0 N +GLOSSY G L AO1 - S IY0 +GLOSTER G L AA1 - S T ER0 +GLOTFELTY G L AA1 T - F IH0 L - T IY0 +GLOTTAL G L AA1 - T AH0 L +GLOTTIS G L AA1 - T AH0 S +GLOTZBACH G L AA1 T S - B AA0 K +GLOUCESTER G L AO1 - S T ER0 +GLOVE G L AH1 V +GLOVED G L AH1 V D +GLOVER G L AH1 - V ER0 +GLOVES G L AH1 V Z +GLOW G L OW1 +GLOWACKI G L AW0 - AA1 T S - K IY0 +GLOWED G L OW1 D +GLOWER G L AW1 - ER0 +GLOWERED G L AW1 - ER0 D +GLOWERING G L AW1 - ER0 - IH0 NG +GLOWING G L OW1 - IH0 NG +GLOWINGLY G L OW1 - IH0 NG - L IY0 +GLOWS G L OW1 Z +GLOYD G L OY1 D +GLUCK G L AH1 K +GLUCK'S G L AH1 K S +GLUCKMAN G L AH1 K - M AH0 N +GLUCKSMAN G L AH1 K S - M AH0 N +GLUCOSE G L UW1 - K OW2 S +GLUCOSIDE G L UW1 - K AH0 - S AY2 D +GLUCOSIDES G L UW1 - K AH0 - S AY2 D Z +GLUE G L UW1 +GLUECK G L UW1 K +GLUED G L UW1 D +GLUES G L UW1 Z +GLUM G L AH1 M +GLUMLY G L AH1 M - L IY0 +GLUNT G L AH1 N T +GLUNTZ G L AH1 N T S +GLUNZ G L AH1 N Z +GLUSKIN G L AH1 - S K IH0 N +GLUT G L AH1 T +GLUTAMATE G L UW1 - T AH0 - M EY2 T +GLUTAMIC G L UW0 - T AE1 - M IH0 K +GLUTARIC G L UW0 - T AE1 - R IH0 K +GLUTEN G L UW1 - T AH0 N +GLUTH G L UW1 TH +GLUTS G L AH1 T S +GLUTTED G L AH1 - T IH0 D +GLUTTONOUS G L AH1 - T AH0 N - AH0 S +GLUTTONS G L AH1 - T AH0 N Z +GLUTTONY G L AH1 - T AH0 N - IY0 +GLYCEL G L IH1 - S AH0 L +GLYCEROL G L IH1 - S ER0 - OW2 L +GLYCINE G L AY1 - S IY2 N +GLYCINE(2) G L AY1 - S AH0 N +GLYCOGEN G L AY1 - K AH0 - JH IH0 N +GLYCOL G L AY1 - K AO2 L +GLYCOL(2) G L AY1 - K OW2 L +GLYCOLIC G L AY0 - K AO1 - L AH0 K +GLYCOMED G L AY1 - K OW2 M D +GLYCOMED(2) G L AY1 - K OW0 - M EH2 D +GLYCOSIDE G L AY1 - K AH0 - S AY2 D +GLYMPH G L IH1 M F +GLYN G L IH1 N +GLYNDEBOURNE G L IH1 N D - B AO2 R N +GLYNIS G L IH1 - N IH0 S +GLYNN G L IH1 N +GLYNNIE G L IH1 - N IY0 +GLYNNIS G L IH1 - N IH0 S +GMBH G AH0 M +GMBH(2) JH IY1 - EH1 M - B IY1 - EY1 CH +GNAGEY N AE1 - JH IY0 +GNAIZDA N EY1 Z - D AH0 +GNANN N AE1 N +GNARL N AA1 R L +GNARLE N AA1 R L +GNARLED N AA1 R L D +GNARLY N AA1 R - L IY0 +GNASH N AE1 SH +GNASHING N AE1 - SH IH0 NG +GNAT N AE1 T +GNATCATCHER N AE1 T - K AE2 - CH ER0 +GNATS N AE1 T S +GNAU N AW1 +GNAW N AO1 +GNAWED N AO1 D +GNAWING N AO1 - IH0 NG +GNAWS N AO1 Z +GNC N K +GNEISS N AY1 S +GNOMES N OW1 M Z +GNOMIC N OW1 - M IH0 K +GNOMONIC N OW0 - M AA1 - N IH0 K +GNOSTICISM N AA1 - S T IH0 - S IH2 - Z AH0 M +GNU N UW1 +GO G OW1 +GO-CART G OW1 - K AA2 R T +GOA G OW1 - AH0 +GOAD G OW1 D +GOADED G OW1 - D IH0 D +GOADING G OW1 - D IH0 NG +GOAL G OW1 L +GOALIE G OW1 - L IY0 +GOALKEEPER G OW1 L - K IY2 - P ER0 +GOALPOST G OW1 L - P OW2 S T +GOALS G OW1 L Z +GOAN G OW1 N +GOANS G OW1 N Z +GOAR G AO1 R +GOARD G AO1 R D +GOAT G OW1 T +GOAT'S G OW1 T S +GOATEE G OW1 - T IY1 +GOATES G OW1 - EY0 T S +GOATLEY G OW1 T - L IY0 +GOATS G OW1 T S +GOB G AA1 B +GOBAIN G OW1 - B IH0 N +GOBBLE G AA1 - B AH0 L +GOBBLED G AA1 - B AH0 L D +GOBBLEDYGOOK G AA2 - B AH0 L - D IY0 - G UH1 K +GOBBLER G AA1 - B AH0 L - ER0 +GOBBLER(2) G AA1 - B L ER0 +GOBBLERS G AA1 - B AH0 L - ER0 Z +GOBBLERS(2) G AA1 - B L ER0 Z +GOBBLING G AA1 - B AH0 L - IH0 NG +GOBBLING(2) G AA1 - B L IH0 NG +GOBEL G OW1 - B AH0 L +GOBEN G AA1 - B AH0 N +GOBER G OW1 - B ER0 +GOBERSTEIN G OW1 - B ER0 - S T IY2 N +GOBERSTEIN(2) G OW1 - B ER0 - S T AY2 N +GOBERT G AA1 - B ER0 T +GOBI G OW1 - B IY0 +GOBIE G OW1 - B IY0 +GOBIN G OW1 - B IH0 N +GOBINOT G OW1 - B IH0 - N AA0 T +GOBIOFF G OW1 - B IY0 - AO0 F +GOBLE G OW1 - B AH0 L +GOBLET G AA1 - B L AH0 T +GOBLIN G AA1 - B L IH0 N +GOBLINS G AA1 - B L IH0 N Z +GOBLIRSCH G AA1 - B L ER0 SH +GOBS G AA1 B Z +GOCHENOUR G AA1 - SH IH0 - N UH0 R +GOCHNAUER G AA1 K - N AW0 - ER0 +GOCHNOUR G AH0 SH - N UH1 R +GOCKE G AA1 K +GOCKEL G AA1 - K AH0 L +GOCKLEY G AA1 K - L IY0 +GOD G AA1 D +GOD'S G AA1 D Z +GODA G OW1 - D AH0 +GODAR G AH0 - D AA1 R +GODARD G AH0 - D AA1 R D +GODART G AA1 - D AA0 R T +GODBEE G AA1 D - B IY2 +GODBEY G AA1 D - B IY0 +GODBOLD G AA1 D - B OW2 L D +GODBOLT G AA1 D - B OW2 L T +GODBOUT G AA1 D - B AW2 T +GODBY G AA1 D - B IY0 +GODDAM G AA1 - D D AE2 M +GODDAMN G AA1 - D D AE2 M +GODDARD G AA1 - D ER0 D +GODDART G AA1 - D AA0 R T +GODDEAU G AA1 - D OW2 +GODDEN G AA1 - D AH0 N +GODDESS G AA1 - D AH0 S +GODDESSES G AA1 - D AH0 - S IH0 Z +GODDING G AA1 - D IH0 NG +GODEK G OW1 - D IH0 K +GODETTE G AH0 - D EH1 T +GODFATHER G AA1 D - F AA2 - DH ER0 +GODFATHER'S G AA1 D - F AA2 - DH ER0 Z +GODFREY G AA1 D - F R IY0 +GODHEAD G AA1 D - HH EH2 D +GODIN G OW1 - D IH0 N +GODINA G OW0 - D IY1 - N AH0 +GODINE G OW0 - D IY1 N +GODINES G AA1 - D AY0 N Z +GODINEZ G OW0 - D IY1 - N EH0 Z +GODING G OW1 - D IH0 NG +GODINO G OW0 - D IY1 - N OW0 +GODIVA G AH0 - D AY1 - V AH0 +GODKIN G AA1 D - K IH0 N +GODLESKI G AH0 D - L EH1 S - K IY0 +GODLESS G AA1 D - L AH0 S +GODLEWSKI G AH0 D - L EH1 F S - K IY0 +GODLEY G AA1 D - L IY0 +GODLOVE G AA1 D - L AH2 V +GODLY G AA1 D - L IY0 +GODMAN G AA1 D - M AH0 N +GODMOTHER G AA1 D - M AH2 - DH ER0 +GODOT G OW1 - D AH0 T +GODOWN G OW1 - D AW2 N +GODOY G AA1 - D OY0 +GODREJ G AA1 - D R EY0 +GODS G AA1 D Z +GODSELL G AA1 D - S AH0 L +GODSEND G AA1 D - S EH2 N D +GODSEY G AA1 D - Z IY0 +GODSHALK G AA1 D - SH AH0 K +GODSHALL G AA1 D - SH AH0 L +GODSPEED G AA1 D - S P IY0 D +GODUNOV G OW1 - D UW0 - N AA0 V +GODWIN G AA1 D - W IH0 N +GODZILLA G AA2 D - Z IH1 - L AH0 +GOE G OW1 +GOEAS G OW1 - IY0 - AH0 Z +GOEAS(2) G OW1 - Y AH0 Z +GOEBBELS G OW1 - B AH0 L Z +GOEBEL G OW1 - B AH0 L +GOECKE G OW1 K +GOEDDE G OW1 D +GOEDE G OW1 D +GOEDECKE G OW1 - D IH0 K +GOEDEN G OW1 - D AH0 N +GOEDERT G OW1 - D ER0 T +GOEDKEN G OW1 D - K AH0 N +GOEGLEIN G OW1 - G L AY2 N +GOEHNER G OW1 - N ER0 +GOEHRING G AO1 - R IH0 NG +GOEKE G OW1 K +GOEKEN G OW1 - K AH0 N +GOELLER G OW1 - L ER0 +GOELLNER G OW1 L - N ER0 +GOELZ G OW1 L Z +GOELZER G OW1 L - Z ER0 +GOEMAN G OW1 - M AH0 N +GOEMON G OW1 - EY2 - M AH0 N +GOEN G OW1 N +GOENS G OW1 N Z +GOEPFERT G OW1 P - F ER0 T +GOER G OW1 - ER0 +GOERGEN G AO1 R - G AH0 N +GOERING G OW1 - ER0 - IH0 NG +GOERKE G AO1 R K +GOERLITZ G AO1 R - L IH0 T S +GOERNER G AO1 R - N ER0 +GOERS G OW1 - ER0 Z +GOERTZ G AO1 R T S +GOERTZEN G AO1 R T - Z AH0 N +GOES G OW1 Z +GOESER G OW1 - Z ER0 +GOETABANKEN G OW2 - T AH0 - B AE1 NG - K AH0 N +GOETHALS G OW1 - TH AH0 L Z +GOETHE G OW1 TH +GOETSCH G OW1 CH +GOETTE G EH1 T +GOETTEL G OW1 - T AH0 L +GOETTING G OW1 - T IH0 NG +GOETTL G OW1 - T AH0 L +GOETTSCH G OW1 T CH +GOETZ G EH1 T S +GOETZE G OW1 T Z +GOETZINGER G OW1 T - Z IH0 - NG ER0 +GOETZKE G OW1 T S - K IY0 +GOETZMAN G OW1 T S - M AH0 N +GOEWEY G AA1 - UW0 - IY0 +GOFF G AO1 F +GOFFIN G AA1 - F IH0 N +GOFFINET G AA1 - F IH0 - N IH0 T +GOFFMAN G AA1 F - M AH0 N +GOFFMAN'S G AA1 F - M AH0 N Z +GOFFNEY G AA1 F - N IY0 +GOFFREDO G OW0 - F R EY1 - D OW0 +GOFORTH G OW1 - F AO1 R TH +GOGA G OW1 - G AH0 +GOGAN G OW1 - G AH0 N +GOGEL G OW1 - G AH0 L +GOGGANS G AA1 - G AH0 N Z +GOGGIN G AA1 - G IH0 N +GOGGINS G AA1 - G IH0 N Z +GOGGLE G AA1 - G AH0 L +GOGGLES G AA1 - G AH0 L Z +GOGH G OW1 +GOGHS G OW1 Z +GOGLIA G AA1 - G L IY0 - AH0 +GOGO G OW1 - G OW2 +GOGUEN G OW1 - G W AH0 N +GOH G OW1 +GOHEEN G AH0 - HH IY1 N +GOHL G OW1 L +GOHLKE G AA1 K +GOHLKE(2) G OW1 K +GOHMAN G OW1 - M AH0 N +GOHN G AA1 N +GOHR G AA1 R +GOIN G OY1 N +GOIN' G OW1 - AH0 N +GOINES G OY1 N Z +GOING G OW1 - IH0 NG +GOING(2) G OW1 - IH0 N +GOINGS G OW1 - IH0 NG Z +GOINGS-ON G OW1 - IH0 NG - Z AA1 N +GOINGS-ONS G OW1 - IH0 NG - Z AA1 N Z +GOINS G OY1 N Z +GOITER G OY1 - T ER0 +GOIZUETA G OY2 Z - W EY1 - T AH0 +GOKEY G OW1 - K IY2 +GOKSEL G AO1 K - S AH1 L +GOLA G OW1 - L AH0 +GOLAB G OW1 - L AE2 B +GOLAN G OW1 - L AH0 N +GOLAN(2) G AH0 - L AA1 N +GOLAND G OW1 - L AH0 N D +GOLAS G OW1 - L AH0 Z +GOLASZEWSKI G AH0 - L AH0 - SH EH1 F S - K IY0 +GOLAY G AA1 - L EY0 +GOLBA G OW1 L - B AH0 +GOLBERG G OW1 L - B ER0 G +GOLCONDA G AA0 L - K AA1 N - D AH0 +GOLD G OW1 L D +GOLD'S G OW1 L D Z +GOLDA G OW1 L - D AH0 +GOLDADE G OW1 L - D EY1 D +GOLDAMMER G OW1 L - D AH0 - M ER0 +GOLDBACH G OW1 L D - B AA2 K +GOLDBAUM G OW1 L D - B AW2 M +GOLDBECK G OW1 L D - B EH2 K +GOLDBERG G OW1 L D - B ER0 G +GOLDBERG'S G OW1 L D - B ER0 G Z +GOLDBERGER G OW1 L D - B ER0 - G ER0 +GOLDBLATT G OW1 L D - B L AH0 T +GOLDBLUM G OW1 L D - B L AH0 M +GOLDCOR G OW1 L D - K AO2 R +GOLDCREEK G OW1 L D - K R IY2 K +GOLDCREST G OW1 L D - K R EH2 S T +GOLDE G OW1 L D +GOLDEN G OW1 L - D AH0 N +GOLDEN'S G OW1 L - D AH0 N Z +GOLDENBERG G OW1 L - D AH0 N - B ER0 G +GOLDENEYE G OW1 L - D AH0 - N AY2 +GOLDENROD G OW1 L - D AH0 N - R AA2 D +GOLDENSON G OW1 L - D AH0 N - S AH0 N +GOLDENSON'S G OW1 L - D AH0 N - S AH0 N Z +GOLDENSTEIN G OW1 L - D AH0 N - S T AY2 N +GOLDENSTEIN(2) G OW1 L - D AH0 N - S T IY2 N +GOLDENTHAL G OW1 L - D AH0 N - TH AA2 L +GOLDENTHAL'S G OW1 L - D AH0 N - TH AA2 L Z +GOLDER G OW1 L - D ER0 +GOLDEST G OW1 L - D IH0 S T +GOLDEY G OW1 L - D IY0 +GOLDFARB G OW1 L D - F AA2 R B +GOLDFEDER G OW1 L D - F EH2 - D ER0 +GOLDFIELD G OW1 L D - F IY2 L D +GOLDFIELDS G OW1 L D - F IY2 L D Z +GOLDFINCH G OW1 L D - F IH2 N CH +GOLDFINCHES G OW1 L D - F IH2 N - CH IH0 Z +GOLDFINE G OW1 L D - F AY2 N +GOLDFINGER G OW1 L D - F IH2 NG - G ER0 +GOLDFISH G OW1 L D - F IH2 SH +GOLDFUS G OW1 L D - F AH2 S +GOLDHAMMER G OW1 L D - HH AE2 - M ER0 +GOLDIE G OW1 L - D IY0 +GOLDILOCKS G OW1 L - D IY0 - L AO2 K S +GOLDIN G OW1 L - D IH0 N +GOLDING G OW1 L - D IH0 NG +GOLDINGER G OW1 L - D IH0 - NG ER0 +GOLDMAN G OW1 L D - M AH0 N +GOLDMAN'S G OW1 L D - M AH0 N Z +GOLDMANN G OW1 L D - M AH0 N +GOLDMANS G OW1 L D - M AH0 N Z +GOLDMARK G OW1 L D - M AA2 R K +GOLDMINE G OW1 L D - M AY2 N +GOLDNER G OW1 L D - N ER0 +GOLDOME G OW1 L - D OW2 M +GOLDOME(2) G OW1 L D - D OW2 M +GOLDRESS G OW1 L - D R EH2 S +GOLDRICK G OW1 L - D R IH0 K +GOLDRING G OW1 L - D R IH2 NG +GOLDS G OW1 L D Z +GOLDSBERRY G OW1 L D Z - B EH2 - R IY0 +GOLDSBOROUGH G OW1 L D Z - B ER0 - OW0 +GOLDSBY G OW1 L D Z - B IY0 +GOLDSCHMID G OW1 L D SH - M IH2 D +GOLDSCHMIDT G OW1 L D SH - M IH2 T +GOLDSMITH G OW1 L D - S M IH2 TH +GOLDSMITH'S G OW1 L D - S M IH2 TH S +GOLDSON G OW1 L D - S AH0 N +GOLDSTAR G OW1 L D - S T AA2 R +GOLDSTEIN G OW1 L D - S T AY2 N +GOLDSTEIN'S G OW1 L D - S T AY2 N Z +GOLDSTEIN'S(2) G OW1 L D - S T IY2 N Z +GOLDSTEIN(2) G OW1 L D - S T IY2 N +GOLDSTOCK G OW1 L D - S T AA2 K +GOLDSTON G OW1 L D - S T AH0 N +GOLDSTONE G OW1 L D - S T OW2 N +GOLDSTRIKE G OW1 L D - S T R AY2 K +GOLDSWORTHY G OW1 L D Z - W ER2 - DH IY0 +GOLDTHWAITE G OW1 L D TH - W EY2 T +GOLDWASSER G OW1 L D - W AO0 - S ER0 +GOLDWATER G OW1 L D - W AO2 - T ER0 +GOLDWATER'S G OW1 L D - W AO2 - T ER0 Z +GOLDWIN G OW1 L D - W IH0 N +GOLDWIRE G OW1 L D - W AY2 R +GOLDWYN G OW1 L D - W IH0 N +GOLDY G OW1 L - D IY0 +GOLEC G OW1 - L IH0 K +GOLEM G OW1 - L AH0 M +GOLEMAN G OW1 L - M AH0 N +GOLEMBESKI G AH0 - L IH0 M - B EH1 S - K IY0 +GOLEMBIEWSKI G AH0 - L IH0 M - B IY0 - EH1 F S - K IY0 +GOLEN G AA1 - L AH0 N +GOLEY G OW1 - L IY0 +GOLF G AA1 L F +GOLF'S G AA1 L F S +GOLF(2) G AO1 L F +GOLFARB G AO1 L - F AA2 R B +GOLFED G AA1 L F T +GOLFER G AA1 L - F ER0 +GOLFER'S G AA1 L - F ER0 Z +GOLFERS G AA1 L - F ER0 Z +GOLFIE G AA1 L - F IY0 +GOLFING G AA1 L - F IH0 NG +GOLFING(2) G AO1 L - F IH0 NG +GOLFMAN G AA1 L F - M AH0 N +GOLFS G AA1 L F S +GOLGI G OW1 L - JH IY0 +GOLGO G OW1 L - G OW0 +GOLIATH G AH0 - L AY1 - AH0 TH +GOLIATHS G OW1 - L IY0 - AE0 TH S +GOLIGHTLY G OW1 - L AY2 T - L IY0 +GOLINSKI G AH0 - L IH1 N - S K IY0 +GOLISANO G OW2 - L IH0 - S AA1 - N OW0 +GOLKAR G OW1 L - K AA0 R +GOLL G AA1 L +GOLLA G AA1 - L AH0 +GOLLADAY G AA1 - L AH0 - D EY2 +GOLLE G AA1 L +GOLLER G AA1 - L ER0 +GOLLIDAY G AA1 - L IY0 - D EY0 +GOLLIHER G AA1 - L IH0 - HH ER0 +GOLLNICK G AA1 L - N IH0 K +GOLLUM G AA1 - L AH0 M +GOLLUST G OW1 - L AH0 S T +GOLLY G AA1 - L IY0 +GOLOB G OW1 - L AH0 B +GOLOMB G AA1 - L AH0 M +GOLONKA G OW0 - L OW1 NG - K AH0 +GOLOVEN G OW1 - L AH0 - V AH0 N +GOLPHIN G OW1 L - F IH0 N +GOLSON G OW1 L - S AH0 N +GOLSTON G OW1 L - S T AH0 N +GOLTZ G OW1 L T S +GOLUB G OW1 - L AH0 B +GOLUBSKI G AH0 - L AH1 B - S K IY0 +GOLZ G OW1 L Z +GOMA G OW1 - M AH0 +GOMBAR G AH0 M - B AA1 R +GOMBERG G AA1 M - B ER0 G +GOMBERT G AA1 M - B ER0 T +GOMBOS G OW1 M - B OW0 Z +GOMER G OW1 - M ER0 +GOMERY G OW1 - M ER0 - IY0 +GOMES G OW1 - M EH2 Z +GOMEZ G OW1 - M EH0 Z +GOMILLION G AA1 - M IH0 - L Y AH0 N +GOMOLL G AA1 - M AH0 L +GOMORRAH G AH0 - M AO1 - R AH0 +GOMORY G OW1 - M ER0 - IY0 +GONAIVES G OW0 - N AY1 V Z +GONCALVES G OW0 N - K AA1 L - V EH0 S +GONCE G AA1 N S +GONCHAROV G AA1 N - CH ER0 - AA0 V +GOND G AA1 N D +GONDA G AA1 N - D AH0 +GONDEK G AA1 N - D IH0 K +GONDER G AA1 N - D ER0 +GONDOLA G AA1 N - D AH0 - L AH0 +GONDOLA(2) G AA0 N - D OW1 - L AH0 +GONDOLAS G AA1 N - D AH0 - L AH0 Z +GONDOLAS(2) G AA0 N - D OW1 - L AH0 Z +GONDOLIER G AA2 N - D AH0 - L IH1 R +GONDOLIERS G AA2 N - D AH0 - L IH1 R Z +GONE G AO1 N +GONER G AA1 - N ER0 +GONET G OW1 - N IH0 T +GONG G AO1 NG +GONGAWARE G AA1 NG - G AH0 - W EH0 R +GONGORA G OW0 NG - G AO1 - R AH0 +GONGS G AO1 NG Z +GONIA G OW1 - N IY0 - AH0 +GONIOMETER G OW2 - N IY0 - AA1 - M AH0 - T ER0 +GONIUM G OW1 - N IY0 - AH0 M +GONNA G AA1 - N AH0 +GONNELLA G OW0 - N EH1 - L AH0 +GONNERMAN G AA1 - N ER0 - M AH0 N +GONOCOCCAL G AA2 - N AH0 - K AA1 - K AH0 L +GONORRHEA G AA2 - N ER0 - IY1 - AH0 +GONSALES G OW1 N - S EY0 L Z +GONSALEZ G OW0 N - S AA1 - L EH0 Z +GONSALVES G OW0 N - S AA1 L - V EH0 S +GONSER G AA1 N - S ER0 +GONSOULIN G AA1 N - S AW0 - L IH0 N +GONTERMAN G AA1 N - T ER0 - M AH0 N +GONYA G OW1 - N Y AH0 +GONYEA G OW1 - N Y EH0 +GONYER G OW1 - N Y ER0 +GONYO G OW1 - N Y OW0 +GONZALES G AA0 N - Z AA1 - L AH0 S +GONZALEZ G AA0 N - Z AA1 - L AH0 Z +GONZALEZ'S G AA0 N - Z AA1 - L AH0 - Z AH0 Z +GONZALO G AA0 N - Z AA1 - L OW0 +GONZO G AA1 N - Z OW0 +GONZO'S G AA1 N - Z OW0 Z +GOO G UW1 +GOOCH G UW1 CH +GOOD G UH1 D +GOOD'S G UH1 D Z +GOOD(2) G IH0 D +GOOD-BYE G IH0 D - B AY1 +GOOD-BYE G UH1 D - B AY1 +GOOD-HEARTEDLY G UH1 D - HH AA1 R - T IH0 D - L IY0 +GOOD-NATUREDLY G UH1 D - N EY1 - CH ER0 D - L IY0 +GOODA G UH1 - D AH0 +GOODA(2) G UW1 - D AH0 +GOODALE G UH1 - D EY2 L +GOODALL G UH1 - D AO2 L +GOODBAR G UH1 D - B AA2 R +GOODBREAD G UH1 D - B R EH2 D +GOODBY G UH1 D - B AY2 +GOODBYE G UH2 D - B AY1 +GOODBYES G UH2 D - B AY1 Z +GOODBYES(2) G IH0 D - B AY1 Z +GOODCHILD G UH1 D - CH AY2 L D +GOODE G UH1 D +GOODELL G UH1 - D EH0 L +GOODEN G UH1 - D AH0 N +GOODEN'S G UH1 - D AH0 N Z +GOODENOUGH G UH1 - D AH0 - N AW2 +GOODENOW G UH1 - D EH0 - N OW0 +GOODER G UH1 - D ER0 +GOODERHAM G UH1 - D ER0 - HH AE2 M +GOODERS G UH1 - D ER0 Z +GOODFELLA G UH1 D - F EH2 - L AH0 +GOODFELLAS G UH1 D - F EH2 - L AH0 Z +GOODFELLOW G UH1 D - F EH2 - L OW0 +GOODFELLOWS G UH1 D - F EH2 - L OW0 Z +GOODFRIEND G UH1 D - F R EH2 N D +GOODFRIENDS G UH1 D - F R EH2 N D Z +GOODGAME G UH1 D - G EY2 M +GOODHART G UH1 D - HH AA2 R T +GOODHEART G UH1 D - HH AA2 R T +GOODHUE G UH1 D - HH Y UW2 +GOODIE G UH1 - D IY0 +GOODIES G UH1 - D IY0 Z +GOODIN G UH1 - D AH0 N +GOODINE G UH1 - D AY0 N +GOODING G UH1 - D IH0 NG +GOODING'S G UH1 - D IH0 NG Z +GOODISON G UH1 - D IH0 - S AH0 N +GOODKIN G UH1 D - K IH2 N +GOODLAND G UH1 D - L AH0 N D +GOODLAND(2) G UH1 D - L AE2 N D +GOODLET G UH1 D - L EH2 T +GOODLETT G UH1 D - L EH2 T +GOODLEY G UH1 D - L IY0 +GOODLIN G UH1 D - L IH0 N +GOODLING G UH1 D - L IH0 NG +GOODLOE G UH1 D - L OW2 +GOODLOW G UH1 D - L OW2 +GOODLY G UH1 D - L IY0 +GOODMAN G UH1 D - M AH0 N +GOODMAN'S G UH1 D - M AE2 N Z +GOODMORNING G UH2 D - M AO1 R - N IH0 NG +GOODNER G UH1 D - N ER0 +GOODNESS G UH1 D - N AH0 S +GOODNESS(2) G UH1 D - N IH0 S +GOODNIGHT G UH1 D - N AY2 T +GOODNOUGH G UH1 D - N AH2 F +GOODNOW G UH1 D - N OW0 +GOODPASTER G UH1 D - P AE2 - S T ER0 +GOODPASTURE G UH1 D - P AE2 S - CH ER0 +GOODREAU G UH1 - D R OW2 +GOODRICH G UH1 - D R IH2 CH +GOODRICH'S G UH1 D - R IH2 - CH IH0 Z +GOODRICK G UH1 - D R IH0 K +GOODRIDGE G UH1 - D R IH2 JH +GOODROE G UH1 - D R OW2 +GOODROW G UH1 - D R OW2 +GOODRUM G UH1 - D R AH2 M +GOODS G UH1 D Z +GOODSELL G UH1 D - S EH2 L +GOODSON G UH1 D - S AH0 N +GOODSON'S G UH1 D - S AH0 N Z +GOODSPEED G UH1 D - S P IY2 D +GOODSPEED'S G UH1 D - S P IY1 D Z +GOODSTEIN G UH1 D - S T AY2 N +GOODSTEIN(2) G UH1 D - S T IY2 N +GOODTAB G UH1 D - T AE2 B +GOODWILL G UH1 D - W IH1 L +GOODWIN G UH1 D - W IH0 N +GOODWINE G UH1 D - W AY2 N +GOODWYN G UH1 D - W IH2 N +GOODY G UH1 - D IY0 +GOODY'S G UH1 - D IY0 Z +GOODYEAR G UH1 - D Y IH0 R +GOODYEAR'S G UH1 - D Y IH0 R Z +GOODYEAR(2) G UH1 D - Y IY0 R +GOOEY G UW1 - IY0 +GOOF G UW1 F +GOOFED G UW1 F T +GOOFING G UW1 - F IH0 NG +GOOFS G UW1 F S +GOOFY G UW1 - F IY0 +GOOGE G UW1 JH +GOOGIN G UW1 - G IH0 N +GOOGINS G UW1 - G IH0 N Z +GOOK G UH1 K +GOOKIN G UH1 - K IH0 N +GOOLD G UW1 L D +GOOLEY G UW1 - L IY0 +GOOLSBY G UW1 L S - B IY0 +GOON G UW1 N +GOONAN G UW1 - N AH0 N +GOONS G UW1 N Z +GOOP G UW1 P +GOOS G UW1 Z +GOOSBY G UW1 S - B IY0 +GOOSE G UW1 S +GOOSEBERRY G UW1 S - B EH2 - R IY0 +GOOSEFISH G UW1 S - F IH2 SH +GOOSEFOOT G UW1 S - F UH2 T +GOOSEN G UW1 - S AH0 N +GOOSEY G UW1 - S IY0 +GOOSSEN G UW1 - S AH0 N +GOOSSENS G UW1 - S AH0 N Z +GOOSTREE G UW0 S - T R IY1 +GOOTEE G UW1 - T IY0 +GOPAC G OW1 - P AE2 K +GOPAC'S G OW1 - P AE2 K S +GOPAL G OW2 - P AA1 L +GOPHER G OW1 - F ER0 +GOPHERS G OW1 - F ER0 Z +GORA G AO1 - R AH0 +GORACKE G AO1 - R AH0 K +GORADZE G AO2 - R AA1 D - Z AH0 +GORAL G AO1 - R AH0 L +GORALSKI G ER0 - AA1 L - S K IY0 +GORANSON G AO1 - R AH0 N - S AH0 N +GORAZDE G AO2 - R AA1 ZH - D AH0 +GORAZDE'S G AO2 - R AA1 ZH - D AH0 Z +GORAZDE'S(2) G ER0 - AA1 ZH - D AH0 Z +GORAZDE(2) G ER0 - AA1 ZH - D AH0 +GORBACHEV G AO1 R - B AH0 - CH EH0 V +GORBACHEV'S G AO1 R - B AH0 - CH EH0 V Z +GORBACHEV'S(2) G AO1 R - B AH0 - CH AO2 F S +GORBACHEV(2) G AO1 R - B AH0 CH - AO2 F +GORBACHEVS G AO1 R - B AH0 - CH EH0 V Z +GORBACHEVS(2) G AO1 R - B AH0 - CH AO2 F S +GORBY G AO1 R - B IY0 +GORCZYCA G ER0 - CH IH1 - K AH0 +GORCZYNSKI G ER0 - CH IH1 N - S K IY0 +GORDA G AO1 R - D AH0 +GORDAN G AO1 R - D AH0 N +GORDEN G AO1 R - D AH0 N +GORDER G AO1 R - D ER0 +GORDEYEV G AO0 R - D AY1 - AH0 V +GORDIAN G AO1 R - D IY0 - AH0 N +GORDIE G AO1 R - D IY0 +GORDILLO G AO2 R - D IH1 - L OW0 +GORDIN G AO1 R - D IH0 N +GORDINIER G AO1 R - D IH0 - N IY0 - ER0 +GORDJI G AO1 R - JH IY0 +GORDNER G AO1 R D - N ER0 +GORDON G AO1 R - D AH0 N +GORDON'S G AO1 R - D AH0 N Z +GORDY G AO1 R - D IY0 +GORE G AO1 R +GORE'S G AO1 R Z +GORECKI G ER0 - EH1 T S - K IY0 +GORED G AO1 R D +GOREE G AO1 - R IY1 +GORELICK G AO1 - R IH0 - L IH0 K +GOREN G AO1 - R AH0 N +GORENFLO G AO0 - R EH1 N - F L OW0 +GORES G AO1 R Z +GOREY G AO1 - R IY0 +GORGAS G AO1 R - G AH0 Z +GORGE G AO1 R JH +GORGEOUS G AO1 R - JH AH0 S +GORGES G AO1 R - JH AH0 Z +GORGES(2) G AO1 R - JH IH0 Z +GORGON G AO1 R - G AH0 N +GORGONE G AO1 R - G AH0 N +GORGONIAN G AO0 R - G OW1 - N IY0 - AH0 N +GORGONS G AO1 R - G AH0 N Z +GORGUZE G AO1 R - G Y UW0 Z +GORHAM G AO1 - R AH0 M +GORI G AO1 - R IY0 +GORIA G AO1 - R IY0 - AH0 +GORILLA G ER0 - IH1 - L AH0 +GORILLAS G ER0 - IH1 - L AH0 Z +GORIN G AO1 - R AH0 N +GORING G AO1 - R IH0 NG +GORIS G AO1 - R AH0 S +GORKA G AO1 R - K AH0 +GORKI G AO1 R - K IY0 +GORKY G AO1 R - K IY0 +GORKY'S G AO1 R - K IY0 Z +GORLEY G AO1 R - L IY0 +GORMAN G AO1 R - M AH0 N +GORMLEY G AO1 R M - L IY0 +GORMLY G AO1 R M - L IY0 +GORNEY G AO1 R - N IY0 +GORNIAK G AO1 R - N IY0 - AE0 K +GORNICK G AO1 R - N IH0 K +GORNIK G AO1 R - N IH0 K +GORNTO G AO1 R N - T OW0 +GORNY G AO1 R - N IY0 +GOROSPE G AO0 - R OW1 - S P EY0 +GORR G AO1 R +GORRELL G AO0 - R EY1 L +GORRID G AO1 - R AH0 D +GORRIDS G AO1 - R AH0 D Z +GORSKI G AO1 R S - K IY0 +GORSKY G AO1 R S - K IY0 +GORSLINE G AO1 R S - L AY2 N +GORSUCH G AO1 R - S AH0 CH +GORT G AO1 R T +GORTARI G AO0 R - T AA1 - R IY0 +GORTER G AO1 R - T ER0 +GORTNEY G AO1 R T - N IY0 +GORTON G AO1 R - T AH0 N +GORUM G AO1 - R AH0 M +GORY G AO1 - R IY0 +GOSA G OW1 - S AH0 +GOSBANK G AO1 S - B AE2 NG K +GOSCH G AO1 SH +GOSDIN G AA1 S - D IH0 N +GOSE G OW1 Z +GOSH G AA1 SH +GOSHA G OW1 - SH AH0 +GOSHAWK G AA1 S - HH AO2 K +GOSHEN G OW1 - SH IH0 N +GOSHORN G AA1 - SH ER0 N +GOSLEE G AA1 S - L IY0 +GOSLIN G AA1 - S L IH0 N +GOSLINE G AA1 S - L AY0 N +GOSMAN G AA1 S - M AH0 N +GOSNELL G AA1 S - N AH0 L +GOSNEY G AA1 S - N IY0 +GOSORNSTEM G AH0 - S AO1 R N - S T EH0 M +GOSPEL G AA1 - S P AH0 L +GOSPEL(2) G AO1 - S P AH0 L +GOSPELS G AA1 - S P AH0 L Z +GOSPLAN G AO1 S - P L AE2 N +GOSS G AO1 S +GOSSAGE G AO1 - S IH0 JH +GOSSAMER G AA1 - S AH0 - M ER0 +GOSSARD G AH0 - S AA1 R D +GOSSE G AA1 S +GOSSELIN G AA1 - S IH0 - L IH0 N +GOSSEN G AO1 - S AH0 N +GOSSER G AO1 - S ER0 +GOSSETT G AA1 - S IH0 T +GOSSIP G AA1 - S AH0 P +GOSSIPER G AA1 - S AH0 - P ER0 +GOSSIPERS G AA1 - S AH0 - P ER0 Z +GOSSIPING G AA1 - S AH0 - P IH0 NG +GOSSIPS G AA1 - S AH0 P S +GOSSIPY G AA1 - S AH0 - P IY0 +GOSSMAN G AO1 S - M AH0 N +GOSTEV G AO1 - S T AH0 V +GOSTOMSKI G AH0 - S T AA1 M - S K IY0 +GOSWICK G AA1 - S W IH0 K +GOT G AA1 T +GOTAAS G AA1 - T AA2 S +GOTBAUM G AA1 T - B AO0 M +GOTBAUM(2) G AA1 T - B AW2 M +GOTCH G AA1 CH +GOTCHA G AA1 - CH AH0 +GOTCHER G AA1 - CH ER0 +GOTH G AA1 TH +GOTHAM G AA1 - TH AH0 M +GOTHARD G AA1 - TH ER0 D +GOTHENBURG G OW1 - T AH0 N - B ER0 G +GOTHENBURG(2) G AA1 - T AH0 N - B ER0 G +GOTHIC G AA1 - TH IH0 K +GOTLIEB G AA1 T - L IY2 B +GOTO G OW1 - T UW2 +GOTO(2) G OW1 - T OW0 +GOTSCH G AA1 CH +GOTSCHAL G AA1 - CH AH0 L +GOTSCHALL G AA1 - CH AH0 L +GOTSHAL G AA1 - CH AH0 L +GOTSHAL'S G AA1 - CH AH0 L Z +GOTSHALL G AA1 - CH AH0 L +GOTT G AA1 T +GOTTA G AA1 - T AH0 +GOTTEN G AA1 - T AH0 N +GOTTEN(2) G AO1 - T AH0 N +GOTTERDAMMERUNG G AA1 - T ER0 - D AE2 - M ER0 - AH0 NG +GOTTESMAN G AA1 T S - M AH0 N +GOTTFRIED G AO1 T - F R IY0 D +GOTTHARDT G AA1 - TH AA0 R T +GOTTHELF G AA1 T - HH EH2 L F +GOTTI G AA1 - T IY0 +GOTTIS G AA1 - T IH0 S +GOTTIS(2) G AA1 - T IY0 Z +GOTTLIEB G AA1 T - L IY2 B +GOTTLIEB'S G AA1 T - L IY2 B Z +GOTTMAN G AA1 T - M AH0 N +GOTTS G AA1 T S +GOTTSCH G AA1 CH +GOTTSCHALK G AA1 - CH AH0 K +GOTTSCHALKS G AA1 - CH AH0 K S +GOTTSCHALL G AA1 - CH AH0 L +GOTTSHALL G AA1 - CH AH0 L +GOTTWALD G AA1 - T W AH0 L D +GOTWALT G AA1 - T W AH0 L T +GOTZ G AA1 T S +GOUCHER G AW1 - K ER0 +GOUDE G AW1 D +GOUDEAU G UW2 - D OW1 +GOUDIE G AW1 - D IY0 +GOUDREAU G UW2 - D R OW1 +GOUDY G AW1 - D IY0 +GOUGE G AW1 JH +GOUGED G AW1 JH D +GOUGEON G AW1 - JH IH0 N +GOUGER G AW1 - JH ER0 +GOUGH G AO1 F +GOUGHNOUR G AW1 - N ER0 +GOUGING G AW1 - JH IH0 NG +GOUIN G W IY1 N +GOUKER G AW1 - K ER0 +GOULART G UW0 - L AA1 R T +GOULASH G UW1 - L AA2 SH +GOULD G UW1 L D +GOULD'S G UW1 L D Z +GOULDEN G UH1 - D AH0 N +GOULDING G UW1 L - D IH0 NG +GOULET G UW0 - L EH1 T +GOULETTE G UW2 - L EH1 T +GOULSTON G UW1 L - S T AH0 N +GOUPIL G UW1 - P AH0 L +GOURD G AO1 R D +GOURDINE G UH0 R - D AY1 N +GOURDS G AO1 R D Z +GOURLAY G AO1 R - L EY0 +GOURLEY G AO1 R - L IY0 +GOURMENT G AO2 R - M EH1 N T +GOURMET G UH1 R - M EY2 +GOURMETS G UH1 R - M EY2 Z +GOUSHA G UW1 - SH AH0 +GOUT G AW1 T +GOUTAL G UW1 - T AH0 L +GOUTY G AW1 - T IY0 +GOUVEA G UW0 - V EY1 - AH0 +GOUVEIA G UW0 - V EY1 - IY0 - AH0 +GOV G AH1 V +GOV(2) G AH1 - V ER0 - N ER0 +GOVAN G OW1 - V AH0 N +GOVE G OW1 V +GOVEA G AH1 - V IY0 - AH0 +GOVER G AH1 - V ER0 +GOVERN G AH1 - V ER0 N +GOVERNALE G AH1 - V ER0 - N EY2 L +GOVERNANCE G AH1 - V ER0 - N AH0 N S +GOVERNED G AH1 - V ER0 N D +GOVERNESS G AH1 - V ER0 - N AH0 S +GOVERNING G AH1 - V ER0 - N IH0 NG +GOVERNMENT G AH1 - V ER0 - M AH0 N T +GOVERNMENT'S G AH1 - V ER0 - M AH0 N T S +GOVERNMENT'S(2) G AH1 - V ER0 N - M AH0 N T S +GOVERNMENT(2) G AH1 - V ER0 N - M AH0 N T +GOVERNMENTAL G AH1 - V ER0 - M EH2 N - T AH0 L +GOVERNMENTAL(2) G AH2 - V ER0 N - M EH1 N - T AH0 L +GOVERNMENTALLY G AH1 - V ER0 - M EH2 N - T AH0 - L IY0 +GOVERNMENTALLY(2) G AH1 - V ER0 - M EH2 - N AH0 - L IY0 +GOVERNMENTS G AH1 - V ER0 - M AH0 N T S +GOVERNMENTS' G AH1 - V ER0 N - M AH0 N T S +GOVERNMENTS'(2) G AH1 - V ER0 - M AH0 N T S +GOVERNMENTS(2) G AH1 - V ER0 N - M AH0 N T S +GOVERNOR G AH1 - V ER0 - N ER0 +GOVERNOR'S G AH1 - V ER0 - N ER0 Z +GOVERNORS G AH1 - V ER0 - N ER0 Z +GOVERNORS' G AH1 - V ER0 - N ER0 Z +GOVERNORSHIP G AH1 - V ER0 - N ER0 - SH IH2 P +GOVERNORSHIPS G AH1 - V ER0 - N ER0 - SH IH2 P S +GOVERNS G AH1 - V ER0 N Z +GOVETT G AH1 - V AH0 T +GOVIER G OW1 - V IY0 - ER0 +GOVONI G OW0 - V OW1 - N IY0 +GOVPX G AH1 V - P IY2 - EH1 K S +GOVS G AA1 V Z +GOVS(2) G AA1 - V ER0 - N ER0 Z +GOW G AW1 +GOWAN G AW1 - AH0 N +GOWANS G AW1 - AH0 N Z +GOWARD G OW1 - W ER0 D +GOWDY G AW1 - D IY0 +GOWELL G AA1 - W EH0 L +GOWEN G AW1 - AH0 N +GOWENS G AW1 - AH0 N Z +GOWER G AW1 - ER0 +GOWIN G AW1 - IH0 N +GOWING G AW1 - IH0 NG +GOWINS G AW1 - IH0 N Z +GOWN G AW1 N +GOWNS G AW1 N Z +GOY G OY1 +GOYA G OY1 - AH0 +GOYER G OY1 - ER0 +GOYETTE G OY2 - EH1 T +GOYIM G OY1 - IH0 M +GOYKO G OY1 - K OW0 +GOYNE G OY1 N +GOYNES G OY1 N Z +GOZA G OW1 - Z AH0 +GOZO G OW1 - Z OW0 +GOZO'S G OW1 - Z OW0 Z +GOZOFSKY G AH0 - Z AO1 F S - K IY0 +GRAB G R AE1 B +GRABAU G R AE1 - B AW0 +GRABBE G R AE1 B +GRABBED G R AE1 B D +GRABBER G R AE1 - B ER0 +GRABBERS G R AE1 - B ER0 Z +GRABBING G R AE1 - B IH0 NG +GRABE G R EY1 B +GRABEL G R AE1 - B AH0 L +GRABEN G R AE1 - B AH0 N +GRABENS G R AA1 - B AH0 N Z +GRABENSTEIN G R AE1 - B AH0 N - S T AY2 N +GRABENSTEIN(2) G R AE1 - B AH0 N - S T IY2 N +GRABER G R EY1 - B ER0 +GRABERT G R AE1 - B ER0 T +GRABILL G R AH0 - B IH1 L +GRABINSKI G R AH0 - B IH1 N - S K IY0 +GRABLE G R EY1 - B AH0 L +GRABNER G R AE1 B - N ER0 +GRABOSKI G R AH0 - B AW1 S - K IY0 +GRABOW G R AE1 - B OW0 +GRABOWSKI G R AH0 - B AO1 F S - K IY0 +GRABOY G R EY1 - B OY0 +GRABS G R AE1 B Z +GRABSKI G R AE1 B - S K IY2 +GRACE G R EY1 S +GRACE'S G R EY1 - S IH0 Z +GRACED G R EY1 S T +GRACEFFA G R AH0 - S EH1 - F AH0 +GRACEFUL G R EY1 S - F AH0 L +GRACEFULLY G R EY1 S - F AH0 - L IY0 +GRACELAND G R EY1 S - L AE0 N D +GRACELESS G R EY1 S - L AH0 S +GRACES G R EY1 - S IH0 Z +GRACEY G R EY1 - S IY0 +GRACHEV G R AA1 - CH EH0 V +GRACHEV'S G R AA1 - CH EH0 V Z +GRACHOV G R AA1 - CH AO1 V +GRACI G R AA1 - CH IY0 +GRACIA G R AA1 - CH AH0 +GRACIANO G R AA0 - CH IY0 - AA1 - N OW0 +GRACIE G R EY1 - S IY0 +GRACILE G R AE1 - S AH0 L +GRACIOUS G R EY1 - SH AH0 S +GRACIOUSLY G R EY1 - SH AH0 S - L IY0 +GRACIOUSNESS G R EY1 - SH AH0 S - N AH0 S +GRACKLE G R AE1 - K AH0 L +GRACKLES G R AE1 - K AH0 L Z +GRACO G R AE1 - K OW0 +GRACY G R EY1 - S IY0 +GRACZYK G R AA1 - CH IH0 K +GRAD G R AE1 D +GRADATION G R EY0 - D EY1 - SH AH0 N +GRADATIONS G R EY0 - D EY1 - SH AH0 N Z +GRADCHEV G R AE1 D - CH EH0 F +GRADCHEV(2) G R AE1 D - CH AO0 V +GRADCO G R AE1 D - K OW0 +GRADDY G R AE1 - D IY0 +GRADE G R EY1 D +GRADED G R EY1 - D AH0 D +GRADED(2) G R EY1 - D IH0 D +GRADEL G R AE1 - D AH0 L +GRADEN G R EY1 - D AH0 N +GRADER G R EY1 - D ER0 +GRADERS G R EY1 - D ER0 Z +GRADES G R EY1 D Z +GRADING G R EY1 - D IH0 NG +GRADISON G R AE1 - D IH0 S - AH0 N +GRADNEY G R AE1 D - N IY0 +GRADO G R AA1 - D OW0 +GRADOV G R EY1 - D AO0 F +GRADOVS G R EY1 - D AO0 F S +GRADS G R AE1 D Z +GRADSTEIN G R AE1 D - S T IY0 N +GRADSTEIN'S G R AE1 D - S T IY0 N Z +GRADSTEIN'S(2) G R AE1 D - S T AY0 N Z +GRADSTEIN(2) G R AE1 D - S T AY0 N +GRADUAL G R AE1 - JH UW0 - AH0 L +GRADUALISM G R AE1 - JH AH0 W - AH0 - L IH2 - Z AH0 M +GRADUALIST G R AE1 - JH AH0 W - AH0 - L IH0 S T +GRADUALLY G R AE1 - JH UW0 - AH0 - L IY0 +GRADUALLY(2) G R AE1 - JH UW0 - L IY0 +GRADUATE G R AE1 - JH AH0 W - AH0 T +GRADUATE(2) G R AE1 - JH AH0 W - EY2 T +GRADUATE(3) G R AE1 - JH UW0 - W AH0 T +GRADUATE(4) G R AE1 - JH UW0 - EY2 T +GRADUATED G R AE1 - JH UW0 - EY2 - T IH0 D +GRADUATED(2) G R AE1 - JH AH0 W - EY2 - T IH0 D +GRADUATES G R AE1 - JH AH0 W - AH0 T S +GRADUATES(2) G R AE1 - JH AH0 W - EY2 T S +GRADUATES(3) G R AE1 - JH UW0 W - AH0 T S +GRADUATES(4) G R AE1 - JH UW0 - EY2 T S +GRADUATING G R AE1 - JH AH0 W - EY2 - T IH0 NG +GRADUATING(2) G R AE1 - JH UW0 - EY2 - T IH0 NG +GRADUATION G R AE2 - JH UW0 - EY1 - SH AH0 N +GRADUATION(2) G R AE2 - JH AH0 W - EY1 - SH AH0 N +GRADUATIONS G R AE2 - JH UW0 - EY1 - SH AH0 N Z +GRADUATIONS(2) G R AE2 - JH AH0 W - EY1 - SH AH0 N Z +GRADUS G R EY1 - D AH0 S +GRADY G R EY1 - D IY0 +GRAEBER G R EH1 - B ER0 +GRAEBNER G R EH1 B - N ER0 +GRAEF G R IY1 F +GRAEF(2) G R AE1 F +GRAEFE G R IY1 F +GRAEFE(2) G R AE1 F +GRAEFF G R IY1 F +GRAEFF(2) G R AE1 F +GRAEME G R EY1 M +GRAEME(2) G R AE1 M +GRAESER G R EY1 - Z ER0 +GRAESSLE G R EH1 - S AH0 L +GRAETZ G R IY1 T S +GRAF G R AE1 F +GRAFE G R EY1 F +GRAFF G R AE1 F +GRAFFAM G R AE1 - F AH0 M +GRAFFEO G R AA1 - F IY0 - OW0 +GRAFFITI G R AH0 - F IY1 - T IY0 +GRAFFIUS G R AE1 - F IY0 - IH0 S +GRAFT G R AE1 F T +GRAFTED G R AE1 F - T IH0 D +GRAFTING G R AE1 F - T IH0 NG +GRAFTON G R AE1 F - T AH0 N +GRAFTS G R AE1 F T S +GRAGE G R EY1 JH +GRAGERT G R EY1 - G ER0 T +GRAGG G R AE1 G +GRAHAM G R EY1 - AH0 M +GRAHAM'S G R EY1 - AH0 M Z +GRAHAM'S(2) G R AE1 M Z +GRAHAM(2) G R AE1 M +GRAHAMS G R AE1 M Z +GRAHAMS(2) G R EY1 - AH0 M Z +GRAHEK G R AE1 - HH IH0 K +GRAHL G R AA1 L +GRAHN G R AE1 N +GRAICHEN G R AY1 - K AH0 N +GRAIL G R EY1 L +GRAIN G R EY1 N +GRAINED G R EY1 N D +GRAINERY G R EY1 - N ER0 - IY0 +GRAINGER G R AA1 - IH0 - NG ER0 +GRAINS G R EY1 N Z +GRAINY G R EY1 - N IY0 +GRAJEDA G R AY0 - IY1 - D AH0 +GRALEY G R AE1 - L IY0 +GRALL G R AO1 L +GRAM G R AE1 M +GRAMA G R AE1 - M AH0 +GRAMAPHONE G R AE1 - M AH0 - F OW2 N +GRAMBLING G R AE1 M - B L IH0 NG +GRAMBLING(2) G R AE1 M - B AH0 L - IH0 NG +GRAMER G R EY1 - M ER0 +GRAMERCY G R AH0 - M ER1 - S IY0 +GRAMERSEY G R AH0 - M ER1 - S IY0 +GRAMES G R EY1 M Z +GRAMLEY G R AE1 M - L IY0 +GRAMLICH G R AE1 M - L IH0 K +GRAMLING G R AE1 M - L IH0 NG +GRAMM G R AE1 M +GRAMM'S G R AE1 M Z +GRAMMAR G R AE1 - M ER0 +GRAMMATICAL G R AH0 - M AE1 - T AH0 - K AH0 L +GRAMMATICAL(2) G R AH0 - M AE1 - T IH0 - K AH0 L +GRAMMATICO G R AA0 - M AA0 - T IY1 - K OW0 +GRAMMER G R AE1 - M ER0 +GRAMMIES G R AE1 - M IY2 Z +GRAMMOPHON G R AE1 - M AH0 - F AA0 N +GRAMMS G R AE1 M Z +GRAMMY G R AE1 - M IY0 +GRAMMY'S G R AE1 - M IY0 Z +GRAMMYS G R AE1 - M IY0 Z +GRAMS G R AE1 M Z +GRAMZA G R AE1 M - Z AH0 +GRAN G R AE1 N +GRANA G R AE1 - N AH0 +GRANADA G R AH0 - N AA1 - D AH0 +GRANADA'S G R AH0 - N AA1 - D AH0 Z +GRANADE G R AH0 - N EY1 D +GRANADO G R AA0 - N AA1 - D OW0 +GRANADOS G R AA0 - N AA1 - D OW0 Z +GRANAHAN G R AE1 - N AH0 - HH AE0 N +GRANAT G R AE1 - N AH0 T +GRANATA G R AA0 - N AA1 - T AH0 +GRANATO G R AA0 - N AA1 - T OW0 +GRANBERG G R AE1 N - B ER0 G +GRANBERRY G R AE1 N - B EH2 - R IY0 +GRANCARE G R AE1 N - K EH2 R +GRAND G R AE1 N D +GRAND'S G R AE1 N D Z +GRANDA G R AE1 N - D AH0 +GRANDAD G R AE1 N - D AE2 D +GRANDBABY G R AE1 N D - B EY2 - B IY0 +GRANDBABY(2) G R AE1 N - B EY2 - B IY0 +GRANDBERRY G R AE1 N D - B EH2 - R IY0 +GRANDCHAMP G R AE1 N D - CH AE2 M P +GRANDCHILD G R AE1 N D - CH AY2 L D +GRANDCHILD(2) G R AE1 N - CH AY2 L D +GRANDCHILDREN G R AE1 N - CH IH2 L - D R AH0 N +GRANDCHILDREN'S G R AE1 N - CH IH2 L - D R AH0 N Z +GRANDCHILDREN'S(2) G R AE1 N D - CH IH2 L - D R AH0 N Z +GRANDCHILDREN(2) G R AE1 N D - CH IH2 L - D R AH0 N +GRANDDADDY G R AE1 N - D AE2 - D IY0 +GRANDDAUGHTER G R AE1 N - D AO2 - T ER0 +GRANDDAUGHTER'S G R AE1 N - D AO2 - T ER0 Z +GRANDDAUGHTERS G R AE1 N - D AO2 - T ER0 Z +GRANDE G R AE1 N D +GRANDER G R AE1 N - D ER0 +GRANDERSON G R AE1 N - D ER0 - S AH0 N +GRANDEST G R AE1 N - D AH0 S T +GRANDEUR G R AE0 N - D UW1 R +GRANDFATHER G R AE1 N D - F AA2 - DH ER0 +GRANDFATHER'S G R AE1 N D - F AA2 - DH ER0 Z +GRANDFATHER'S(2) G R AE1 N - F AA2 - DH ER0 Z +GRANDFATHER(2) G R AE1 N - F AA2 - DH ER0 +GRANDFATHERED G R AE1 N D - F AA2 - DH ER0 D +GRANDFATHERED(2) G R AE1 N - F AA2 - DH ER0 D +GRANDFATHERING G R AE1 N D - F AA2 - DH ER0 - IH0 NG +GRANDFATHERING(2) G R AE1 N - F AA2 - DH ER0 - IH0 NG +GRANDFATHERLY G R AE1 N D - F AA2 - DH ER0 - L IY0 +GRANDFATHERLY(2) G R AE1 N - F AA2 - DH ER0 - L IY0 +GRANDFATHERS G R AE1 N D - F AA2 - DH ER0 Z +GRANDFATHERS(2) G R AE1 N - F AA2 - DH ER0 Z +GRANDFIELD G R AE1 N D - F IY2 L D +GRANDI G R AE1 N - D IY0 +GRANDILLO G R AE0 N - D IH1 - L OW0 +GRANDILOQUENT G R AE0 N - D IH1 - L AH0 - K W AH0 N T +GRANDIN G R AE1 N - D IH2 N +GRANDINETTI G R AE0 N - D IY0 - N EH1 - T IY0 +GRANDIOSE G R AE2 N - D IY0 - OW1 S +GRANDIOSE(2) G R AE1 N - D IY0 - OW2 S +GRANDIS G R AE1 N - D IH0 S +GRANDISON G R AE1 N - D IH0 - S AH0 N +GRANDKID G R AE1 N D - K IH2 D +GRANDKID(2) G R AE1 N - K IH2 D +GRANDKIDS G R AE1 N D - K IH2 D Z +GRANDKIDS(2) G R AE1 N - K IH2 D Z +GRANDLY G R AE1 N D - L IY0 +GRANDMA G R AE1 - M AA0 +GRANDMA'S G R AE1 N D - M AA2 Z +GRANDMA'S(2) G R AE1 - M AA2 Z +GRANDMA(2) G R AE1 N D - M AA0 +GRANDMAISON G R AE1 N D - M AY2 - Z AA1 N +GRANDMAISON(2) G R AE1 N D - M EY1 - S AH0 N +GRANDMAS G R AE1 N D - M AA2 Z +GRANDMAS(2) G R AE1 N - M AA2 Z +GRANDMAS(3) G R AE1 - M AA2 Z +GRANDMASTER G R AE1 N D - M AE1 - S T ER0 +GRANDMASTER(2) G R AE1 N - M AE1 - S T ER0 +GRANDMET G R AE1 N D - M EH2 T +GRANDMOTHER G R AE1 N D - M AH2 - DH ER0 +GRANDMOTHER'S G R AE1 N D - M AH2 - DH ER0 Z +GRANDMOTHER'S(2) G R AE1 - M AH2 - DH ER0 Z +GRANDMOTHER'S(3) G R AE1 N - M AH2 - DH ER0 Z +GRANDMOTHER(2) G R AE1 N - M AH2 - DH ER0 +GRANDMOTHER(3) G R AE1 - M AH2 - DH ER0 +GRANDMOTHERLY G R AE1 N D - M AH2 - DH ER0 - L IY0 +GRANDMOTHERLY(2) G R AE1 N - M AH2 - DH ER0 - L IY0 +GRANDMOTHERLY(3) G R AE1 - M AH2 - DH ER0 - L IY0 +GRANDMOTHERS G R AE1 N D - M AH2 - DH ER0 Z +GRANDMOTHERS(2) G R AE1 N - M AH2 - DH ER0 Z +GRANDMOTHERS(3) G R AE1 - M AH2 - DH ER0 Z +GRANDNEPHEW G R AE1 N D - N EH1 - F Y UW0 +GRANDNEPHEW(2) G R AE1 N - N EH1 - F Y UW0 +GRANDON G R AE1 N - D AA0 N +GRANDPA G R AE1 N D - P AA2 +GRANDPA(2) G R AE1 N - P AA2 +GRANDPA(3) G R AE1 M - P AA2 +GRANDPARENT G R AE1 N D - P EH2 - R AH0 N T +GRANDPARENT(2) G R AE1 N - P EH2 - R AH0 N T +GRANDPARENT(3) G R AE1 M - P EH2 - R AH0 N T +GRANDPARENTS G R AE1 N D - P EH2 - R AH0 N T S +GRANDPARENTS' G R AE1 N D - P EH2 - R AH0 N T S +GRANDPARENTS'(2) G R AE1 N - P EH2 - R AH0 N T S +GRANDPARENTS'(3) G R AE1 M - P EH2 - R AH0 N T S +GRANDPARENTS(2) G R AE1 N - P EH2 - R AH0 N T S +GRANDPARENTS(3) G R AE1 M - P EH2 - R AH0 N T S +GRANDPRE G R AE1 N D - P R EY2 +GRANDS G R AE1 N D Z +GRANDSON G R AE1 N D - S AH2 N +GRANDSON'S G R AE1 N D - S AH2 N Z +GRANDSON'S(2) G R AE1 N - S AH2 N Z +GRANDSON(2) G R AE1 N - S AH2 N +GRANDSONS G R AE1 N D - S AH2 N Z +GRANDSONS(2) G R AE1 N - S AH2 N Z +GRANDSTAFF G R AE1 N D - S T AE2 F +GRANDSTAFF(2) G R AE1 N S - T AE2 F +GRANDSTAND G R AE1 N D - S T AE2 N D +GRANDSTAND(2) G R AE1 N S - T AE2 N D +GRANDSTANDING G R AE1 N D - S T AE2 N - D IH0 NG +GRANDSTANDING(2) G R AE1 N S - T AE2 N - D IH0 NG +GRANDT G R AE1 N T +GRANDUNCLE G R AE1 N D - AH1 NG - K AH0 L +GRANDVIEW G R AE1 N D - V Y UW2 +GRANDY G R AE1 N - D IY0 +GRANER G R EY1 - N ER0 +GRANESE G R AE1 - N IY0 Z +GRANEY G R EY1 - N IY0 +GRANFIELD G R AE1 N - F IY2 L D +GRANGE G R EY1 N JH +GRANGER G R EY1 N - JH ER0 +GRANGERS G R EY1 N - JH ER0 Z +GRANGES G R EY1 N - JH IH0 Z +GRANHOLM G R AE1 N - HH OW2 L M +GRANIER G R EY1 - N IY0 - ER0 +GRANIERI G R AA0 - N IH1 - R IY0 +GRANILLO G R AH0 - N IH1 - L OW0 +GRANINGEVERKEN G R AE2 - N IH0 NG - G EH1 - V ER0 - K AH0 N +GRANINGEVERKEN'S G R AE2 - N IH0 NG - G EH1 - V ER0 - K AH0 N Z +GRANITE G R AE1 - N AH0 T +GRANITE(2) G R AE1 - N IH0 T +GRANITIC G R AH0 - N IH1 - T IH0 K +GRANITO G R AA0 - N IY1 - T OW0 +GRANLUND G R AE1 N - L AH0 N D +GRANNAN G R AE1 - N AH0 N +GRANNIS G R AE1 - N IH0 S +GRANNY G R AE1 - N IY0 +GRANO G R AA1 - N OW0 +GRANOFF G R AE1 - N AO0 F +GRANOLA G R AH0 - N OW1 - L AH0 +GRANQUIST G R AE1 N - K W IH2 S T +GRANSTROM G R AE1 N S - T R AH0 M +GRANT G R AE1 N T +GRANT'S G R AE1 N T S +GRANTED G R AE1 N - T AH0 D +GRANTED(2) G R AE1 N - T IH0 D +GRANTED(3) G R AE1 - N AH0 D +GRANTED(4) G R AE1 - N IH0 D +GRANTHAM G R AE1 N - TH AH0 M +GRANTING G R AE1 N - T IH0 NG +GRANTING(2) G R AE1 - N IH0 NG +GRANTLAND G R AE1 N T - L AH0 N D +GRANTOR G R AE1 N - T ER0 +GRANTORS G R AE1 N - T ER0 Z +GRANTREE G R AE1 N - T R IY2 +GRANTREE'S G R AE1 N - T R IY2 Z +GRANTS G R AE1 N T S +GRANTZ G R AE1 N T S +GRANULAR G R AE1 - N Y AH0 - L ER0 +GRANULATION G R AE2 - N Y AH0 - L EY1 - SH AH0 N +GRANULE G R AE1 - N Y AH0 L +GRANULES G R AE1 - N Y AH0 L Z +GRANULOCYTE G R AH0 - N UW1 - L OW0 - S AY2 T +GRANUM G R AE1 - N AH0 M +GRANVILLE G R AE1 N - V IH0 L +GRANVILLE'S G R AE1 N - V IH0 L Z +GRANZ G R AE1 N T S +GRANZOW G R AE1 N - Z OW0 +GRAPAGE G R EY1 - P AH0 JH +GRAPE G R EY1 P +GRAPEFRUIT G R EY1 P - F R UW2 T +GRAPEFRUITS G R EY1 P - F R UW2 T S +GRAPER G R EY1 - P ER0 +GRAPES G R EY1 P S +GRAPESHOT G R EY1 P - SH AA2 T +GRAPEVINE G R EY1 P - V AY2 N +GRAPEVINES G R EY1 P - V AY2 N Z +GRAPH G R AE1 F +GRAPHIC G R AE1 - F IH0 K +GRAPHICAL G R AE1 - F IH0 - K AH0 L +GRAPHICALLY G R AE1 - F IH0 K - L IY0 +GRAPHICS G R AE1 - F IH0 K S +GRAPHICS' G R AE1 - F IH0 K S +GRAPHITE G R AE1 - F AY2 T +GRAPHOLOGY G R AH0 - F AA1 - L AH0 - JH IY0 +GRAPHS G R AE1 F S +GRAPPLE G R AE1 - P AH0 L +GRAPPLED G R AE1 - P AH0 L D +GRAPPLES G R AE1 - P AH0 L Z +GRAPPLING G R AE1 - P L IH0 NG +GRAPPLING(2) G R AE1 - P AH0 L - IH0 NG +GRAS G R AE1 S +GRAS(2) G R AA1 +GRASER G R EY1 - Z ER0 +GRASMICK G R AE1 Z - M IH0 K +GRASP G R AE1 S P +GRASPED G R AE1 S P T +GRASPING G R AE1 - S P IH0 NG +GRASPS G R AE1 S P S +GRASS G R AE1 S +GRASSE G R AE1 S +GRASSED G R AE1 S T +GRASSEL G R AE1 - S AH0 L +GRASSER G R AE1 - S ER0 +GRASSERS G R AE1 - S ER0 Z +GRASSES G R AE1 - S AH0 Z +GRASSES(2) G R AE1 - S IH0 Z +GRASSFIELD G R AE1 S - F IY2 L D +GRASSFIELD'S G R AE1 S - F IY2 L D Z +GRASSGREEN G R AE1 S - G R IY2 N +GRASSHOPPER G R AE1 S - HH AA2 - P ER0 +GRASSHOPPERS G R AE1 S - HH AA2 - P ER0 Z +GRASSI G R AE1 - S IY0 +GRASSIA G R AA1 - S IY0 - AH0 +GRASSL G R AE1 - S AH0 L +GRASSLAND G R AE1 S - L AE2 N D +GRASSLANDS G R AE1 S - L AE2 N D Z +GRASSLEY G R AE1 S - L IY0 +GRASSLIKE G R AE1 S - L AY2 K +GRASSMAN G R AE1 S - M AH0 N +GRASSO G R AE1 - S OW0 +GRASSROOT G R AE1 S - R UW1 T +GRASSROOTS G R AE1 S - R UW1 T S +GRASSY G R AE1 - S IY0 +GRASTY G R AE1 - S T IY0 +GRATA G R AA1 - T AH0 +GRATE G R EY1 T +GRATED G R EY1 - T IH0 D +GRATEFUL G R EY1 T - F AH0 L +GRATEFULLY G R EY1 T - F AH0 - L IY0 +GRATER G R EY1 - T ER0 +GRATES G R EY1 T S +GRATHWOHL G R AE1 TH - W OW2 L +GRATIFICATION G R AE2 - T AH0 - F AH0 - K EY1 - SH AH0 N +GRATIFIED G R AE1 - T AH0 - F AY2 D +GRATIFY G R AE1 - T AH0 - F AY2 +GRATIFYING G R AE1 - T AH0 - F AY2 - IH0 NG +GRATING G R EY1 - T IH0 NG +GRATIS G R AE1 - T AH0 S +GRATITUDE G R AE1 - T AH0 - T UW2 D +GRATTAN G R AE1 - T AH0 N +GRATTON G R AE1 - T AH0 N +GRATUITIES G R AH0 - T UW1 - IH0 - T IY0 Z +GRATUITOUS G R AH0 - T UW1 - AH0 - T AH0 S +GRATUITOUSLY G R AH0 - T UW1 - AH0 - T AH0 S - L IY0 +GRATUITY G R AH0 - T UW1 - IH0 - T IY0 +GRATZ G R AE1 T S +GRATZER G R EY1 T - Z ER0 +GRAU G R AW1 +GRAUBERGER G R AW1 - B ER0 - G ER0 +GRAUE G R AW1 +GRAUE(2) G R UW1 +GRAUEL G R AW1 - AH0 L +GRAUEL(2) G R UW1 - AH0 L +GRAUER G R AW1 - ER0 +GRAUER(2) G R UW1 - ER0 +GRAUL G R AO1 L +GRAUMAN G R AO1 - M AH0 N +GRAUMANN G R AO1 - M AH0 N +GRAUNKE G R AO1 NG K +GRAVANO G R AH0 - V AA1 - N OW0 +GRAVANO(2) G R AH0 - V AE1 - N OW0 +GRAVATT G R AE1 - V AH0 T +GRAVE G R EY1 V +GRAVEL G R AE1 - V AH0 L +GRAVELINE G R EY1 V - L AY2 N +GRAVELL G R AE1 - V AH0 L +GRAVELLE G R AH0 - V EH1 L +GRAVELLY G R AE1 - V AH0 - L IY0 +GRAVELY G R EY1 V - L IY0 +GRAVEN G R EY1 - V AH0 N +GRAVER G R EY1 - V ER0 +GRAVES G R EY1 V Z +GRAVES'S G R EY1 V - Z IH0 Z +GRAVESIDE G R EY1 V - S AY2 D +GRAVESITE G R EY1 V - S AY2 T +GRAVEST G R AE1 - V AH0 S T +GRAVESTONE G R EY1 V - S T OW2 N +GRAVESTONES G R EY1 V - S T OW2 N Z +GRAVETT G R AE1 - V IH0 T +GRAVETTE G R AH0 - V EH1 T +GRAVEYARD G R EY1 V - Y AA2 R D +GRAVEYARDS G R EY1 V - Y AA2 R D Z +GRAVIES G R EY1 - V IY0 Z +GRAVIMETER G R AE1 - V AH0 M - IY2 - T ER0 +GRAVIMETRIC G R AE2 - V AH0 - M EH1 - T R IH0 K +GRAVINA G R AA0 - V IY1 - N AH0 +GRAVINO G R AA0 - V IY1 - N OW0 +GRAVITAS G R AE1 - V AH0 - T AH0 S +GRAVITATE G R AE1 - V IH0 - T EY2 T +GRAVITATED G R AE1 - V AH0 - T EY2 - T IH0 D +GRAVITATES G R AE1 - V IH0 - T EY2 T S +GRAVITATING G R AE1 - V IH0 - T EY2 - T IH0 NG +GRAVITATION G R AE2 - V IH0 - T EY1 - SH AH0 N +GRAVITATIONAL G R AE2 - V IH0 - T EY1 - SH AH0 - N AH0 L +GRAVITATIONALLY G R AE2 - V AH0 - T EY1 SH - N AH0 - L IY0 +GRAVITT G R AE1 - V IH0 T +GRAVITT'S G R AE1 - V IH0 T S +GRAVITY G R AE1 - V AH0 - T IY0 +GRAVITY(2) G R AE1 - V IH0 - T IY0 +GRAVLEY G R AE1 V - L IY0 +GRAVLIN G R AE1 V - L IH0 N +GRAVOIS G R AH0 V - W AA1 +GRAVY G R EY1 - V IY0 +GRAW G R AO1 +GRAWE G R AO1 +GRAY G R EY1 +GRAY'S G R EY1 Z +GRAYBEAL G R EY1 - B AH0 L +GRAYBEARD G R EY1 - B IY0 R D +GRAYBEARDS G R EY1 - B IY0 R D Z +GRAYBILL G R EY1 - B IH2 L +GRAYDON G R EY1 - D AH0 N +GRAYE G R EY1 +GRAYER G R EY1 - ER0 +GRAYEST G R EY1 - IH0 S T +GRAYING G R EY1 - IH0 NG +GRAYISH G R EY1 - IH0 SH +GRAYLING G R EY1 - L IH0 NG +GRAYS G R EY1 Z +GRAYSON G R EY1 - S AH0 N +GRAZE G R EY1 Z +GRAZED G R EY1 Z D +GRAZER G R EY1 - Z ER0 +GRAZIANI G R AA0 - Z IY0 - AA1 - N IY0 +GRAZIANO G R AA0 T - S IY0 - AA1 - N OW0 +GRAZIER G R EY1 - Z IY0 - ER0 +GRAZING G R EY1 - Z IH0 NG +GRBAVICA G ER0 - B AA1 - V IH0 - K AH0 +GRBAVICA(2) G ER2 - B AH0 - V AY1 - K AH0 +GREANEY G R IY1 - N IY0 +GREAR G R IH1 R +GREASE G R IY1 S +GREASED G R IY1 S T +GREASER G R IY1 - S ER0 +GREASEWOOD G R IY1 S - W UH2 D +GREASING G R IY1 - S IH0 NG +GREASON G R IY1 - S AH0 N +GREASY G R IY1 - S IY0 +GREAT G R EY1 T +GREAT'S G R EY1 T S +GREAT-CIRCLE G R EY1 T - S ER1 - K AH0 L +GREATER G R EY1 - T ER0 +GREATEST G R EY1 - T AH0 S T +GREATHOUSE G R EY1 T - HH AW2 S +GREATLY G R EY1 T - L IY0 +GREATNESS G R EY1 T - N AH0 S +GREATS G R EY1 T S +GREAVE G R IY1 V +GREAVES G R IY1 V Z +GREB G R EH1 B +GREBE G R IY1 B +GREBER G R IY1 - B ER0 +GREBNER G R EH1 B - N ER0 +GRECCO G R EH1 - K OW0 +GRECH G R EH1 K +GRECIAN G R IY1 - SH AH0 N +GRECKO G R EH1 - K OW0 +GRECO G R EH1 - K OW0 +GRECO-ROMAN G R EH2 - K OW0 - R OW1 - M AH0 N +GREDE G R IY1 D +GREDEL G R EH1 - D AH0 L +GREDITOR G R EH1 - D IH0 - T ER0 +GREEAR G R IY1 - ER0 +GREECE G R IY1 S +GREECE'S G R IY1 - S IH0 Z +GREED G R IY1 D +GREEDIER G R IY2 - D IY0 - ER0 +GREEDIEST G R IY2 - D IY0 - IH0 S T +GREEDILY G R IY1 - D AH0 - L IY0 +GREEDY G R IY1 - D IY0 +GREEK G R IY1 K +GREEKS G R IY1 K S +GREELEY G R IY1 - L IY0 +GREELEYVILLE G R IY1 - L IY0 - V IH0 L +GREELIEVILLE G R IY1 - L IY0 - V IH0 L +GREELY G R IY1 - L IY0 +GREEN G R IY1 N +GREEN'S G R IY1 N Z +GREENAN G R IY1 - N AH0 N +GREENAWALT G R IY1 N - AH0 - W AO2 L T +GREENAWAY G R IY1 N - AH0 - W EY2 +GREENBACK G R IY1 N - B AE2 K +GREENBACK'S G R IY1 N - B AE2 K S +GREENBACKS G R IY1 N - B AE2 K S +GREENBAUM G R IY1 N - B AW2 M +GREENBELT G R IY1 N - B EH2 L T +GREENBERG G R IY1 N - B ER0 G +GREENBERG'S G R IY1 N - B ER0 G Z +GREENBERGER G R IY1 N - B ER0 - G ER0 +GREENBLATT G R IY1 N - B L AH0 T +GREENBURG G R IY1 N - B ER0 G +GREENBURY G R IY1 N - B ER0 - IY0 +GREENBUSH G R IY1 N - B UH0 SH +GREENCASTLE G R IY1 N - K AE2 - S AH0 L +GREENE G R IY1 N +GREENE'S G R IY1 N Z +GREENED G R IY1 N D +GREENER G R IY1 - N ER0 +GREENERY G R IY1 - N ER0 - IY0 +GREENEST G R IY1 - N IH0 S T +GREENFELD G R IY1 N - F EH2 L D +GREENFELD'S G R IY1 N - F EH2 L D Z +GREENFELL G R IY1 N - F EH2 L +GREENFELL'S G R IY1 N - F EH2 L Z +GREENFIELD G R IY1 N - F IY2 L D +GREENFIELD'S G R IY1 N - F IY2 L D Z +GREENHALGH G R IY1 N - HH AH2 L G +GREENHAM G R IY1 - N AH0 M +GREENHAW G R IY1 N - HH AO2 +GREENHILL G R IY1 N - HH IH2 L +GREENHOE G R IY1 N - HH OW2 +GREENHOUSE G R IY1 N - HH AW2 S +GREENHOUSES G R IY1 N - HH AW2 - S IH0 Z +GREENHOUSES(2) G R IY1 N - HH AW2 - Z AH0 Z +GREENHUT G R IY1 N - HH AH0 T +GREENIAUS G R IY1 - N IY0 - AW0 S +GREENIDGE G R IY1 - N IH0 JH +GREENING G R IY1 - N IH0 NG +GREENISH G R IY1 - N IH0 SH +GREENLAND G R IY1 N - L AH0 N D +GREENLAND(2) G R IY1 N - L AE2 N D +GREENLAW G R IY1 N - L AO2 +GREENLEAF G R IY1 N - L IY2 F +GREENLEE G R IY1 N - L IY2 +GREENLEES G R IY1 N - L IY2 Z +GREENLEY G R IY1 N - L IY0 +GREENLY G R IY1 N - L IY0 +GREENMAIL G R IY1 N - M EY2 L +GREENMAILER G R IY1 N - M EY2 - L ER0 +GREENMAN G R IY1 N - M AH0 N +GREENNESS G R IY1 N - N AH0 S +GREENO G R IY1 - N OW0 +GREENOUGH G R IY1 - N AH0 F +GREENPEACE G R IY1 N - P IY2 S +GREENPEACE'S G R IY1 N - P IY2 - S IH0 Z +GREENS G R IY1 N Z +GREENS' G R IY1 N Z +GREENSBORO G R IY1 N Z - B ER0 - R OW0 +GREENSBURG G R IY1 N Z - B ER0 G +GREENSHIELD G R IY1 N - SH IY2 L D +GREENSHIELDS G R IY1 N - SH IY2 L D Z +GREENSLADE G R IY1 N - S L AH0 D +GREENSLET G R IY1 N - S L EH2 T +GREENSPAN G R IY1 N - S P AE2 N +GREENSPAN'S G R IY1 N - S P AE2 N Z +GREENSPON G R IY1 N - S P AA2 N +GREENSPUN G R IY1 N - S P AH2 N +GREENSTEIN G R IY1 N - S T AY2 N +GREENSTEIN(2) G R IY1 N - S T IY2 N +GREENSTONE G R IY1 N - S T OW2 N +GREENSTREET G R IY1 N - S T R IY2 T +GREENUP G R IY1 N - AH2 P +GREENVALE G R IY1 N - V EY2 L +GREENVILLE G R IY1 N - V IH0 L +GREENWALD G R IY1 N - W AO2 L D +GREENWALD'S G R IY1 N - W AO2 L D Z +GREENWALDS G R IY1 N - W AO2 L D Z +GREENWALT G R IY1 - N W AH0 L T +GREENWAY G R IY1 N - W EY2 +GREENWELL G R IY1 N - W EH2 L +GREENWICH G R EH1 - N IH0 CH +GREENWICH'S G R EH1 - N IH0 - CH IH0 Z +GREENWICH(2) G R IY1 N - W IH2 CH +GREENWOOD G R IY1 N - W UH2 D +GREER G R IH1 R +GREESON G R IY1 - S AH0 N +GREET G R IY1 T +GREETED G R IY1 - T AH0 D +GREETED(2) G R IY1 - T IH0 D +GREETHAM G R IY1 - TH AH0 M +GREETING G R IY1 - T IH0 NG +GREETINGS G R IY1 - T IH0 NG Z +GREETS G R IY1 T S +GREEVER G R IY1 - V ER0 +GREFE G R IY1 F +GREFF G R EH1 F +GREG G R EH1 G +GREG'S G R EH1 G Z +GREGA G R IY1 - G AH0 +GREGARIOUS G R AH0 - G EH1 - R IY0 - AH0 S +GREGER G R EH1 - G ER0 +GREGERSEN G R EH1 - G ER0 - S AH0 N +GREGERSON G R EH1 - G ER0 - S AH0 N +GREGG G R EH1 G +GREGGS G R EH1 G Z +GREGO G R EH1 - G OW0 +GREGOIRE G R IH0 - G W AA1 R +GREGOR G R EH1 - G ER0 +GREGORI G R EH0 - G AO1 - R IY0 +GREGORIA G R EH0 - G AO1 - R IY0 - AH0 +GREGORIAN G R AH0 - G AO1 - R IY0 - AH0 N +GREGORICH G R EH1 - G ER0 - IH0 K +GREGORIE G R EH1 - G ER0 - IY0 +GREGORIO G R IH0 - G AO1 - R IY0 - OW0 +GREGORY G R EH1 - G ER0 - IY0 +GREGORY'S G R EH1 - G ER0 - IY0 Z +GREGSON G R EH1 G - S AH0 N +GREGSTON G R EH1 G - S T AH0 N +GREGUS G R IY1 - G AH0 S +GREIDER G R AY1 - D ER0 +GREIF G R IY1 F +GREIFF G R IY1 F +GREIFF(2) G R AY1 F +GREIG G R IY1 G +GREIM G R IY1 M +GREIMAN G R AY1 - M AH0 N +GREIN G R EY1 N +GREINER G R AY1 - N ER0 +GREINKE G R EY1 NG K +GREIS G R IY1 Z +GREITZ G R EH1 T S +GREITZ(2) G R AY1 T S +GREIWE G R IY1 W +GRELL G R EH1 L +GRELLA G R EH1 - L AH0 +GRELLE G R EH1 L +GREMBAN G R EH1 M - B AE2 N +GREMILLION G R EH1 - M IH0 - L Y AH0 N +GREMLIN G R EH1 M - L AH0 N +GREMLINS G R EH1 M - L AH0 N Z +GREN G R EH1 N +GRENADA G R IH0 - N EY1 - D AH0 +GRENADA(2) G R IH0 - N AA1 - D AH0 +GRENADE G R AH0 - N EY1 D +GRENADES G R AH0 - N EY1 D Z +GRENDA G R EH1 N - D AH0 +GRENDEL G R EH1 N - D AH0 L +GRENDEL'S G R EH1 N - D AH0 L Z +GRENELL G R EH1 - N AH0 L +GRENFELL G R EH1 N - F AH0 L +GRENIER G R IY1 - N IY0 - ER0 +GRENINGER G R EH1 - N IH0 - NG ER0 +GRENNAN G R EH1 - N AH0 N +GRENOBLE G R AH0 - N OW1 - B AH0 L +GRENON G R EH1 - N AH0 N +GRENOUILLE G R AH0 - N UW1 - IY0 +GRENZ G R EH1 N Z +GRESH G R EH1 SH +GRESHAM G R EH1 - SH AH0 M +GRESHAM'S G R EH1 - SH AH0 M Z +GRESKO G R EH1 S - K OW0 +GRESS G R EH1 S +GRESSER G R EH1 - S ER0 +GRESSETT G R EH1 - S IH0 T +GRESSLEY G R EH1 S - L IY0 +GRESSMAN G R EH1 S - M AH0 N +GRETA G R IY1 - T AH0 +GRETA'S G R IY1 - T AH0 Z +GRETAL G R EH1 - T AH0 L +GRETCHEN G R EH1 - CH AH0 N +GRETE G R IY1 T +GRETEL G R EH1 - T AH0 L +GRETH G R EH1 TH +GRETHEL G R EH1 - TH AH0 L +GRETHER G R EH1 - DH ER0 +GRETNA G R EH1 T - N AH0 +GRETNA'S G R EH1 T - N AH0 Z +GRETTENBERGER G R EH1 - T AH0 N - B ER0 - G ER0 +GRETZ G R EH1 T S +GRETZINGER G R EH1 T - Z IH0 - NG ER0 +GRETZKY G R EH1 T S - K IY1 +GREUBEL G R OY1 - B AH0 L +GREUEL G R UW1 - AH0 L +GREULICH G R OY1 - L IH0 K +GREUNKE G R UW1 NG K +GREVE G R IY1 V +GREVER G R EH1 - V ER0 +GREW G R UW1 +GREWAL G R UW1 - AH0 L +GREWE G R UW1 +GREWELL G R EH1 - W EH0 L +GREY G R EY1 +GREY'S G R EY1 Z +GREYHOUND G R EY1 - HH AW2 N D +GREYHOUND'S G R EY1 - HH AW2 N D Z +GREYLAG G R EY1 - L AE2 G +GREYSTONE G R EY1 - S T OW2 N +GRIBBEN G R IH1 - B AH0 N +GRIBBIN G R IH1 - B IH0 N +GRIBBINS G R IH1 - B IH0 N Z +GRIBBLE G R IH1 - B AH0 L +GRIBBLES G R IH1 - B AH0 L Z +GRIBBON G R IH1 - B AH0 N +GRICE G R AY1 S +GRID G R IH1 D +GRID'S G R IH1 D Z +GRIDER G R AY1 - D ER0 +GRIDIRON G R IH1 D - AY2 - ER0 N +GRIDLEY G R IH1 D - L IY0 +GRIDLEY'S G R IH1 D - L IY0 Z +GRIDLOCK G R IH1 D - L AA2 K +GRIDLOCK'S G R IH1 D - L AA2 K S +GRIDLOCKED G R IH1 D - L AA2 K T +GRIDS G R IH1 D Z +GRIEB G R IY1 B +GRIEBEL G R IY1 - B AH0 L +GRIECO G R IY1 - K OW0 +GRIEDER G R IY1 - D ER0 +GRIEF G R IY1 F +GRIEGER G R IY1 - G ER0 +GRIEGO G R IY1 - G OW0 +GRIEME G R IY1 M +GRIEP G R IY1 P +GRIEPENTROG G R IY1 - P IH0 N - T R AH0 G +GRIER G R AY1 - ER0 +GRIER'S G R AY1 - ER0 Z +GRIER'S(2) G R IY1 R Z +GRIER(2) G R IY1 R +GRIERSON G R IH1 R - S AH0 N +GRIES G R AY1 Z +GRIESA G R IY0 - EH1 - S AH0 +GRIESBACH G R IY1 S - B AA0 K +GRIESE G R IY1 Z +GRIESEMER G R IY1 - S IY0 - M ER0 +GRIESER G R IY1 - S ER0 +GRIESHABER G R IY1 - SH AH0 - B ER0 +GRIESINGER G R IY1 - S IH0 - NG ER0 +GRIESS G R IY1 S +GRIESSER G R IY1 - S ER0 +GRIEST G R AY1 - IH0 S T +GRIEVANCE G R IY1 - V AH0 N S +GRIEVANCES G R IY1 - V AH0 N - S AH0 Z +GRIEVANCES(2) G R IY1 - V AH0 N - S IH0 Z +GRIEVE G R IY1 V +GRIEVED G R IY1 V D +GRIEVER G R IY1 - V ER0 +GRIEVERS G R IY1 - V ER0 Z +GRIEVES G R IY1 V Z +GRIEVESON G R IY1 - V AH0 - S AH0 N +GRIEVESON(2) G R IY1 V - S AH0 N +GRIEVING G R IY1 - V IH0 NG +GRIEVOUS G R IY1 - V AH0 S +GRIEVOUSLY G R IY1 - V AH0 S - L IY0 +GRIFF G R IH1 F +GRIFFEE G R IH1 - F IY0 +GRIFFEN G R IH1 - F AH0 N +GRIFFETH G R IH1 - F IH0 TH +GRIFFEY G R IH1 - F IY0 +GRIFFEY'S G R IH1 - F IY0 Z +GRIFFIE G R IH1 - F IY0 +GRIFFIN G R IH1 - F IH0 N +GRIFFIN'S G R IH1 - F IH0 N Z +GRIFFING G R IH1 - F IH0 NG +GRIFFIS G R IH1 - F IH0 S +GRIFFITH G R IH1 - F AH0 TH +GRIFFITH'S G R IH1 - F IH0 TH S +GRIFFITH(2) G R IH1 - F IH0 TH +GRIFFITHS G R IH1 - F IH0 TH S +GRIFFITTS G R IH1 - F IH0 T S +GRIFFO G R IH1 - F OW0 +GRIFFON G R IH1 - F AH0 N +GRIFFY G R IH1 - F IY0 +GRIGAS G R AY1 - G AH0 Z +GRIGG G R IH1 G +GRIGGS G R IH1 G Z +GRIGGY G R IH1 - G IY0 +GRIGNON G R IH1 G - N AH0 N +GRIGOLI G R IH0 - G OW1 - L IY0 +GRIGOROVICH G R IH0 - G AO1 - R AH0 - V IH0 CH +GRIGORY G R EH1 - G ER0 - IY0 +GRIGORY(2) G R IY1 - G ER0 - IY0 +GRIGORYANT G R IH0 - G AO1 - R Y AE0 N T +GRIGORYANTS G R IH0 - G AO1 R - Y AE0 N T S +GRIGSBY G R IH1 G Z - B IY0 +GRIJALVA G R IY0 - Y AA1 L - V AH0 +GRILL G R IH1 L +GRILLE G R IH1 L +GRILLED G R IH1 L D +GRILLI G R IH1 - L IY0 +GRILLING G R IH1 - L IH0 NG +GRILLIOT G R IH1 - L IY0 - AH0 T +GRILLO G R IH1 - L OW0 +GRILLOT G R IH1 - L AH0 T +GRILLS G R IH1 L Z +GRIM G R IH1 M +GRIMA G R IY1 - M AH0 +GRIMACE G R IH1 - M AH0 S +GRIMACED G R IH1 - M AH0 S T +GRIMACES G R IH1 - M AH0 - S IH0 Z +GRIMACING G R IH1 - M AH0 - S IH0 NG +GRIMALDI G R IY0 - M AA1 L - D IY0 +GRIMALDO G R IY0 - M AA1 L - D OW0 +GRIME G R AY1 M +GRIMES G R AY1 M Z +GRIMLEY G R IH1 M - L IY0 +GRIMLY G R IH1 M - L IY0 +GRIMM G R IH1 M +GRIMM'S G R IH1 M Z +GRIMME G R IH1 M +GRIMMER G R IH1 - M ER0 +GRIMMEST G R IH1 - M AH0 S T +GRIMMETT G R IH1 - M IH0 T +GRIMNESS G R IH1 M - N AH0 S +GRIMSHAW G R IH1 M - SH AO2 +GRIMSLEY G R IH1 M Z - L IY0 +GRIMSTAD G R IH1 M - S T AH0 D +GRIMWOOD G R IH1 M - W UH2 D +GRIMY G R AY1 - M IY0 +GRIN G R IH1 N +GRINAGE G R IH1 - N IH0 JH +GRINBERG G R IH1 N - B ER0 G +GRINCH G R IH1 N CH +GRIND G R AY1 N D +GRINDE G R IH1 N D +GRINDER G R AY1 N - D ER0 +GRINDERS G R AY1 N - D ER0 Z +GRINDING G R AY1 N - D IH0 NG +GRINDLAY G R AY1 N D - L EY2 +GRINDLAY(2) G R IH1 N D - L IY2 +GRINDLAYS G R AY1 N D - L EY2 Z +GRINDLAYS(2) G R IH1 N D - L IY2 Z +GRINDLE G R IH1 N - D AH0 L +GRINDLEY G R IH1 N D - L IY0 +GRINDROD G R AY1 N - D R AA2 D +GRINDS G R AY1 N D Z +GRINDSTAFF G R AY1 N D - S T AE2 F +GRINDSTONE G R AY1 N D - S T OW2 N +GRINE G R AY1 N +GRINER G R AY1 - N ER0 +GRING G R IH1 NG +GRINGO G R IH1 NG - G OW0 +GRINGOS G R IH1 NG - G OW0 Z +GRINNED G R IH1 N D +GRINNELL G R IH0 - N EH1 L +GRINNING G R IH1 - N IH0 NG +GRINS G R IH1 N Z +GRINSTEAD G R IH1 N - S T EH2 D +GRINSTEIN G R IH1 N - S T IY2 N +GRINSTEIN(2) G R IH1 N - S T AY2 N +GRIP G R IH1 P +GRIPE G R AY1 P +GRIPED G R AY1 P T +GRIPES G R AY1 P S +GRIPING G R AY1 - P IH0 NG +GRIPP G R IH1 P +GRIPPED G R IH1 P T +GRIPPI G R IH1 - P IY0 +GRIPPING G R IH1 - P IH0 NG +GRIPPO G R IH1 - P OW0 +GRIPS G R IH1 P S +GRISANTI G R IH0 - S AE1 N - T IY0 +GRISBY G R IH1 S - B IY0 +GRISCOM G R IH1 S - K AH0 M +GRISE G R AY1 Z +GRISHAM G R IH1 - SH AH0 M +GRISHAM'S G R IH1 - SH AH0 M Z +GRISHILDA G R IH0 - SH IH1 L - D AH0 +GRISHMAN G R IH1 SH - M AH0 N +GRISLY G R IH1 Z - L IY0 +GRISMER G ER1 - IH0 - Z AH0 - M ER0 +GRISMER(2) G R IH1 S - M ER0 +GRISMORE G R IY1 S - M AO0 R +GRISSETT G R IH1 - S IH0 T +GRISSINGER G R IH1 - S IH0 - NG ER0 +GRISSO G R IH1 - S OW0 +GRISSOM G R IH1 - S AH0 M +GRISSON G R IH1 - S AH0 N +GRIST G R IH1 S T +GRISTLE G R IH1 - S AH0 L +GRISWELL G R IH1 S - W EH0 L +GRISWOLD G R IH1 S - W OW2 L D +GRIT G R IH1 T +GRITES G R AY1 T S +GRITS G R IH1 T S +GRITTER G R IH1 - T ER0 +GRITTING G R IH1 - T IH0 NG +GRITTON G R IH1 - T AH0 N +GRITTY G R IH1 - T IY0 +GRITZ G R IH1 T S +GRITZMACHER G R IH1 T S - M AA2 - K ER0 +GRIVAS G R IY1 - V AA0 Z +GRIZ G R IH1 Z +GRIZELDA G R IY0 - Z EH1 L - D AH0 +GRIZZARD G R IH1 - Z ER0 D +GRIZZELL G R IH1 - Z AH0 L +GRIZZLE G R IH1 - Z AH0 L +GRIZZLED G R IH1 - Z AH0 L D +GRIZZLIES G R IH1 Z - L IY0 Z +GRIZZLY G R IH1 Z - L IY0 +GRO G R OW1 +GROAN G R OW1 N +GROANED G R OW1 N D +GROANING G R OW1 - N IH0 NG +GROANS G R OW1 N Z +GROAT G R OW1 T +GROB G R AA1 B +GROBE G R OW1 B +GROBEN G R AA1 - B AH0 N +GROBER G R OW1 - B ER0 +GROBIAN G R OW1 - B IY0 - AH0 N +GROBLER G R AA1 B - L ER0 +GROCE G R OW1 S +GROCER G R OW1 - S ER0 +GROCER'S G R OW1 - S ER0 Z +GROCERIES G R OW1 - S ER0 - IY0 Z +GROCERIES(2) G R OW1 - S R IY0 Z +GROCERS G R OW1 - S ER0 Z +GROCERY G R OW1 - S ER0 - IY0 +GROCERY(2) G R OW1 - S R IY0 +GROCH G R AA1 K +GROCHOWSKI G R AH0 - HH AO1 F S - K IY0 +GRODE G R OW1 D +GRODEN G R OW1 - D AH0 N +GRODIN G R OW1 - D IH0 N +GRODSKY G R AA1 D - S K IY0 +GROEBNER G R OW1 B - N ER0 +GROEGER G R OW1 - G ER0 +GROEN G R OW1 N +GROENE G R AA1 - IY0 N +GROENEVELD G R OW1 - N IH0 - V IH0 L D +GROENEWOLD G R OW1 - N UW0 - OW0 L D +GROENING G R AA1 - AH0 - N IH0 NG +GROEP G R OW1 P +GROER G R OW1 - ER0 +GROESBECK G R OW1 S - B EH0 K +GROFF G R AO1 F +GROFT G R AA1 F T +GROGAN G R OW1 - G AH0 N +GROGG G R AA1 G +GROGGY G R AA1 - G IY0 +GROH G R OW1 +GROHMAN G R OW1 - M AH0 N +GROHS G R OW1 S +GROIN G R OY1 N +GROINED G R OY1 N D +GROINS G R OY1 N Z +GROLEAU G R AH0 - L OW1 +GROLIER G R OW1 - L Y ER0 +GROLL G R OW1 L +GROM G R AA1 M +GROMA G R AA1 - M AH0 +GROMAN G R OW1 - M AH0 N +GROMEK G R OW1 - M IH0 K +GROMER G R OW1 - M ER0 +GROMES G R OW1 M Z +GROMYKO G R OW0 - M IY1 - K OW0 +GRONAU G R OW1 - N AW0 +GRONBERG G R AA1 N - B ER0 G +GRONDAHL G R AA1 N - D AA2 L +GRONDIN G R AA1 N - D IH0 N +GRONE G R OW1 N +GRONEMEYER G R AA1 - N IH0 - M AY0 - ER0 +GRONER G R OW1 - N ER0 +GRONEWOLD G R AA1 - N UW0 - OW0 L D +GRONINGER G R OW1 - N IH0 - NG ER0 +GRONLUND G R AA1 N - L AH0 N D +GRONOWSKI G R AH0 - N AO1 F S - K IY0 +GRONSETH G R AA1 N - S IH0 TH +GRONSKI G R AA1 N - S K IY0 +GROOM G R UW1 M +GROOME G R UW1 M +GROOMED G R UW1 M D +GROOMER G R UW1 - M ER0 +GROOMERS G R UW1 - M ER0 Z +GROOMES G R UW1 M Z +GROOMING G R UW1 - M IH0 NG +GROOMS G R UW1 M Z +GROOPMAN G R UW1 P - M AH0 N +GROOS G R UW1 Z +GROOT G R UW1 T +GROOTERS G R UW1 - T ER0 Z +GROOVE G R UW1 V +GROOVER G R UW1 - V ER0 +GROOVES G R UW1 V Z +GROOVIEST G R UW1 - V IY0 - AH0 S T +GROOVY G R UW1 - V IY0 +GROPE G R OW1 P +GROPED G R OW1 P T +GROPING G R OW1 - P IH0 NG +GROPP G R AA1 P +GROPPER G R AA1 - P ER0 +GROPPY G R AA1 - P IY0 +GROPPY'S G R AA1 - P IY0 Z +GROS G R OW1 S +GROSBEAK G R OW1 S - B IY2 K +GROSBEAKS G R OW1 S - B IY2 K S +GROSCH G R AO1 SH +GROSE G R OW1 Z +GROSECLOSE G R AA0 - S IH0 - K L OW1 Z +GROSH G R AA1 SH +GROSHEK G R AA1 - SH IH0 K +GROSHONG G R AA1 - SH AO0 NG +GROSJEAN G R AH0 S - ZH IY1 N +GROSKOPF G R AA1 - S K AO0 P F +GROSKOPF(2) G R OW1 S K - AO0 F +GROSS G R OW1 S +GROSS'S G R OW1 - S IH0 Z +GROSSBARD G R OW1 S - B AA2 R D +GROSSBERG G R OW1 S - B ER0 G +GROSSE G R AA1 S +GROSSED G R OW1 S T +GROSSENBACHER G R AA1 - S IH0 N - B AA0 - K ER0 +GROSSER G R OW1 - S ER0 +GROSSES G R OW1 - S IH0 Z +GROSSFELD G R OW1 S - F EH2 L D +GROSSHANS G R AA1 - SH AH0 N Z +GROSSI G R OW1 - S IY0 +GROSSING G R OW1 - S IH0 NG +GROSSKOPF G R OW1 - S K AO0 P F +GROSSKOPF(2) G R OW1 S K - AO0 F +GROSSLY G R OW1 S - L IY0 +GROSSMAN G R OW1 S - M AH0 N +GROSSMAN'S G R OW1 S - M AH0 N Z +GROSSMANN G R AO1 S - M AH0 N +GROSSNICKLE G R AA1 S - N IH0 - K AH0 L +GROSSO G R OW1 - S OW0 +GROSVENOR G R OW1 V - N ER0 +GROSZ G R OW1 S +GROTE G R OW1 T +GROTESQUE G R OW0 - T EH1 S K +GROTESQUELY G R OW0 - T EH1 S K - L IY0 +GROTH G R AA1 TH +GROTHAUS G R AA1 T - HH AW2 S +GROTHE G R OW1 DH +GROTHEER G R AO1 - TH IH0 R +GROTON G R AA1 - T AH0 N +GROTTO G R AA1 - T OW2 +GROTZ G R AA1 T S +GROUCH G R AW1 CH +GROUCHO G R UW1 - CH OW0 +GROUCHO(2) G R AW1 - CH OW0 +GROULX G R AW1 L K S +GROUND G R AW1 N D +GROUNDBREAKING G R AW1 N D - B R EY2 - K IH0 NG +GROUNDBREAKING(2) G R AW1 N - B R EY2 - K IH0 NG +GROUNDED G R AW1 N - D IH0 D +GROUNDHOG G R AW1 N D - HH AA2 G +GROUNDING G R AW1 N - D IH0 NG +GROUNDLESS G R AW1 N D - L AH0 S +GROUNDLING G R AW1 N D - L IH0 NG +GROUNDNUT G R AW1 N D - N AH2 T +GROUNDNUTS G R AW1 N D - N AH2 T S +GROUNDS G R AW1 N D Z +GROUNDS(2) G R AW1 N Z +GROUNDSKEEPER G R AW1 N D - S K IY2 - P ER0 +GROUNDSKEEPERS G R AW1 N D - S K IY2 - P ER0 Z +GROUNDSWELL G R AW1 N D - S W EH2 L +GROUNDWATER G R AW1 N D - W AA2 - T ER0 +GROUNDWATER(2) G R AW1 N D - W AO2 - T ER0 +GROUNDWORK G R AW1 N D - W ER2 K +GROUP G R UW1 P +GROUP'S G R UW1 P S +GROUPE G R UW1 P +GROUPED G R UW1 P T +GROUPEMENT G R UW1 P - M AH0 N T +GROUPER G R UW1 - P ER0 +GROUPERS G R UW1 - P ER0 Z +GROUPIE G R UW1 - P IY0 +GROUPIES G R UW1 - P IY0 Z +GROUPING G R UW1 - P IH0 NG +GROUPINGS G R UW1 - P IH0 NG Z +GROUPS G R UW1 P S +GROUPS' G R UW1 P S +GROUPWARE G R UW1 P - W EH2 R +GROUSE G R AW1 S +GROUSED G R AW1 S T +GROUSES G R AW1 - S IH0 Z +GROUSING G R AW1 - S IH0 NG +GROUSSMAN G R AW1 S - M AH0 N +GROUT G R AW1 T +GROUTING G R AW1 - T IH0 NG +GROVE G R OW1 V +GROVE'S G R OW1 V Z +GROVEL G R AA1 - V AH0 L +GROVELING G R AO1 - V AH0 L - IH0 NG +GROVELING(2) G R AO1 V - L IH0 NG +GROVEMAN G R OW1 V - M AH0 N +GROVER G R OW1 - V ER0 +GROVER'S G R OW1 - V ER0 Z +GROVERS G R OW1 - V ER0 Z +GROVES G R OW1 V Z +GROW G R OW1 +GROWE G R OW1 +GROWER G R OW1 - ER0 +GROWERS G R OW1 - ER0 Z +GROWERS' G R OW1 - ER0 Z +GROWING G R OW1 - IH0 NG +GROWL G R AW1 L +GROWLED G R AW1 L D +GROWLING G R OW1 - L IH0 NG +GROWLS G R AW1 L Z +GROWN G R OW1 N +GROWNUP G R OW1 - N AH2 P +GROWNUPS G R OW1 - N AH2 P S +GROWS G R OW1 Z +GROWTH G R OW1 TH +GROWTHS G R OW1 TH S +GROZNY G R OW1 Z - N IY0 +GROZNY'S G R OW1 Z - N IY0 Z +GRUA G R UW1 - AH0 +GRUB G R AH1 B +GRUBA G R UW1 - B AH0 +GRUBAUGH G R AH1 - B AO0 +GRUBB G R AH1 B +GRUBBS G R AH1 B Z +GRUBBY G R AH1 - B IY0 +GRUBE G R UW1 B +GRUBEN G R AH1 - B AH0 N +GRUBER G R UW1 - B ER0 +GRUBEROVA G R UW2 - B EH0 - R OW1 - V AH0 +GRUBMAN G R AH1 B - M AH0 N +GRUBS G R AH1 B Z +GRUBSTEIN G R AH1 B - S T IY2 N +GRUBSTEIN(2) G R AH1 B - S T AY2 N +GRUCCI G R UW1 - CH IY0 +GRUDENSTEIN G R UW1 - D IH0 N - S T IY2 N +GRUDENSTEIN(2) G R UW1 - D IH0 N - S T AY2 N +GRUDGE G R AH1 JH +GRUDGES G R AH1 - JH IH0 Z +GRUDGING G R AH1 - JH IH0 NG +GRUDGINGLY G R AH1 - JH IH0 NG - L IY0 +GRUDGINGLY(2) G R AH1 - JH IH0 NG - G L IY0 +GRUDZIEN G R AH1 D - Z IY0 N +GRUDZINSKI G R AH0 - JH IH1 N - S K IY0 +GRUEL G R UW1 - IH0 L +GRUELING G R UW1 - IH0 - L IH0 NG +GRUELING(2) G R UW1 - L IH0 NG +GRUEN G R UW1 N +GRUENBERG G R UH1 N - B ER0 G +GRUENER G R UH1 - N ER0 +GRUENEWALD G R UH1 - N IH0 - W AO0 L D +GRUENHAGEN G R UH1 N - HH AH0 - G AH0 N +GRUENWALD G R UH1 N - W AO0 L D +GRUESOME G R UW1 - S AH0 M +GRUET G R UW1 - IH0 T +GRUETZMACHER G R UH1 T S - M AA2 - K ER0 +GRUFF G R AH1 F +GRUHLKE G R UW1 L K +GRUHN G R AH1 N +GRUIS G R UW1 - IH0 Z +GRULKE G R AH1 L K +GRULLON G R AH1 - L AH0 N +GRUM G R AH1 M +GRUMBINE G R AH1 M - B AY2 N +GRUMBLE G R AH1 M - B AH0 L +GRUMBLED G R AH1 M - B AH0 L D +GRUMBLES G R AH1 M - B AH0 L Z +GRUMBLING G R AH1 M - B AH0 L - IH0 NG +GRUMBLING(2) G R AH1 M - B L IH0 NG +GRUMBLINGS G R AH1 M - B AH0 - L IH0 NG Z +GRUMBLINGS(2) G R AH1 M - B L IH0 NG Z +GRUMMAN G R AH1 - M AH0 N +GRUMMAN'S G R AH1 - M AH0 N Z +GRUMMOND G R AH1 - M AH0 N D +GRUMMOND'S G R AH1 - M AH0 N D Z +GRUMP G R AH1 M P +GRUMPIER G R AH1 M - P IY0 - ER0 +GRUMPIER(2) G R AH1 M - P Y ER0 +GRUMPY G R AH1 M - P IY0 +GRUN G R AH1 N +GRUNBERG G R AH1 N - B ER0 G +GRUND G R AH1 N D +GRUNDEN G R AH1 N - D AH0 N +GRUNDER G R AH1 N - D ER0 +GRUNDFEST G R AH1 N D - F EH2 S T +GRUNDFEST(2) G R UH1 N D - F EH2 S T +GRUNDHOFER G R AH1 N D - HH AA2 - F ER0 +GRUNDIG G R AH1 N - D IH0 G +GRUNDMAN G R AH1 N D - M AH0 N +GRUNDSTROM G R AH1 N D - S T R AH0 M +GRUNDY G R AH1 N - D IY0 +GRUNEBAUM G R UW1 N - B AW2 M +GRUNEICH G R UW0 - N AY1 K +GRUNER G R UW1 - N ER0 +GRUNERT G R UW1 - N ER0 T +GRUNEWALD G R AH1 - N IH0 - W AO0 L D +GRUNEWALD(2) G R UW1 N - W AO0 L D +GRUNGE G R AH1 N JH +GRUNGY G R AH1 N - JH IY0 +GRUNION G R AH1 - N Y AH0 N +GRUNOW G R UW1 - N OW0 +GRUNT G R AH1 N T +GRUNTAL G R AH1 N - T AH0 L +GRUNTAL'S G R AH1 N - T AH0 L Z +GRUNTED G R AH1 N - T IH0 D +GRUNTING G R AH1 N - T IH0 NG +GRUNTS G R AH1 N T S +GRUNWALD G R AH1 N - W AO2 L D +GRUPE G R UW1 P +GRUPO G R UW1 - P OW0 +GRUPP G R AH1 P +GRUPPO G R UW1 - P OW0 +GRUSH G R AH1 SH +GRUSHOW G R AH1 - SH OW0 +GRUSS G R AH1 S +GRUSSING G R AH1 - S IH0 NG +GRUSZKA G R AH1 SH - K AH0 +GRUTMAN G R AH1 T - M AH0 N +GRUVER G R UW1 - V ER0 +GRUWELL G R AH1 - W EH0 L +GRYDER G R AY1 - D ER0 +GRYGIEL G R IH1 - JH IY0 L +GRYPHONS G R IH1 - F AH0 N Z +GRZELAK G ER1 - Z AH0 - L AE2 K +GRZESIAK G ER0 - Z EH1 - S IY0 - AE0 K +GRZESKOWIAK G ER0 - Z IH0 S - K AW1 - IY0 - AE0 K +GRZYB G ER1 - Z IH2 B +GRZYBOWSKI G ER2 - Z IH0 - B AW1 S - K IY0 +GRZYWACZ G ER1 - Z IH0 - V AE2 CH +GRZYWINSKI G ER0 - Z IH0 - W IH1 N - S K IY0 +GSCHWIND G AH0 SH - W AY1 N D +GSELL G AH0 - S EH1 L +GTECH JH IY1 - T EH2 K +GTECH'S JH IY1 - T EH2 K S +GU G UW1 +GUACAMOLE G W AA2 - K AH0 - M OW1 - L IY0 +GUADAGNO G AA0 - D AA1 G - N OW0 +GUADALAJARA G W AA2 - D AH2 - L AH0 - HH AA1 - R AH0 +GUADALAJARA(2) G W AA2 D - L AH0 - HH AA1 - R AH0 +GUADALCANAL G W AA2 - D AH0 L - K AH0 - N AE1 L +GUADALUPE G W AA2 - D AH0 L - UW1 P +GUADALUPE(2) G W AA2 - D AH0 - L UW1 - P EY0 +GUADARRAMA G UW0 - AA0 - D AA0 - R AA1 - M AH0 +GUADELOUPE G W AA2 - D AH0 L - UW1 P +GUAGLIARDO G W AA2 - G L IY0 - AA1 R - D OW0 +GUAJARDO G W AA0 - Y AA1 R - D OW0 +GUALDONI G AA0 L - 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K ER0 T +GUCWA G AH1 - K W AH0 +GUDE G Y UW1 D +GUDELAY G UW1 - D AH0 - L EY2 +GUDERIAN G Y UW2 - D IY1 - R IY0 - AH0 N +GUDGEL G AH1 - JH AH0 L +GUDGEON G AH1 - JH AH0 N +GUDGER G AH1 - JH ER0 +GUDINO G UW0 - D IY1 - N OW0 +GUDMUNDSON G AH1 D - M AH0 N D - S AH0 N +GUE G Y UW1 +GUEDRY G EH1 D - R IY0 +GUEI-YUAN G W EY1 - Y UW0 - AA1 N +GUEL G EH1 L +GUENETTE G IH0 - N EH1 T +GUENNA G EY1 - N AH0 +GUENTER G EH1 N - T ER0 +GUENTHER G UH1 N - TH ER0 +GUENTHNER G EH1 N TH - N ER0 +GUERARD G ER0 - AA1 R D +GUERCIO G EH1 R - S IY0 - OW0 +GUERETTE G ER0 - EH1 T +GUERILLA G ER0 - IH1 - L AH0 +GUERILLAS G ER0 - IH1 - L AH0 Z +GUERIN G EH1 - R IH0 N +GUERINO G EH0 - R IY1 - N OW0 +GUERNEVILLE G ER1 - N AH0 - V IH0 L +GUERNSEY G ER1 N - Z IY0 +GUERRA G W EH1 - R AH0 +GUERRANT G EH1 - R AH0 N T +GUERRE G EH1 R +GUERRERA G W ER0 - EH1 - R AH0 +GUERRERO G ER0 - EH1 - R OW0 +GUERRETTE G ER0 - EH1 T +GUERRIER G EH1 - R IY0 - ER0 +GUERRIERI G ER0 - IH1 - R IY0 +GUERRIERO G ER0 - IH1 - R OW0 +GUERRILLA G ER0 - IH1 - L AH0 +GUERRILLAS G ER0 - IH1 - L AH0 Z +GUERRILLAS' G ER0 - IH1 - L AH0 Z +GUERRINI G ER0 - IY1 - N IY0 +GUERRY G ER0 - IY1 +GUERTIN G EH0 R - T IY1 N +GUESS G EH1 S +GUESSED G EH1 S T +GUESSER G EH1 - S ER0 +GUESSERS G EH1 - S ER0 Z +GUESSES G EH1 - S AH0 Z +GUESSES(2) G EH1 - S IH0 Z +GUESSING G EH1 - S IH0 NG +GUESSTIMATE G EH1 - S T IH0 - M IH0 T +GUESSTIMATE(2) G EH1 - S T IH0 - M EY0 T +GUESSTIMATES G EH1 - S T IH0 - M IH0 T S +GUESSTIMATES(2) G EH1 - S T IH0 - M EY0 T S +GUESSWORK G EH1 S - W ER2 K +GUEST G EH1 S T +GUEST'S G EH1 S T S +GUESTED G EH1 - S T IH0 D +GUESTHOUSE G EH1 S T - HH AW2 S +GUESTHOUSES G EH1 S T - HH AW2 - S IH0 Z +GUESTS G EH1 S T S +GUESTS' G EH1 S T S +GUESTS'(2) G EH1 S S +GUESTS'(3) G EH1 S +GUESTS(2) G EH1 S S +GUESTS(3) G EH1 S +GUETTLER G EH1 - T AH0 L - ER0 +GUETTLER(2) G EH1 T - L ER0 +GUEVARA G EY0 - V AA1 - R AH0 +GUEZ G EH1 Z +GUEZ'S G EH1 - Z IH0 Z +GUFF G AH1 F +GUFFAW G AH0 - F AO1 +GUFFAWS G AH0 - F AO1 Z +GUFFEY G AH1 - F IY0 +GUFFIN G AH1 - F IH0 N +GUFFY G AH1 - F IY0 +GUGEL G UW1 - G AH0 L +GUGGENHEIM G UW1 - G AH0 N - HH AY2 M +GUGGISBERG G AH1 - G IH0 S - B ER0 G +GUGINO G UW0 - JH IY1 - N OW0 +GUGLIELMETTI G UW0 G - L IY0 - EH0 L - M EH1 - T IY0 +GUGLIELMI G UW0 G - L IY0 - EH1 L - M IY0 +GUGLIELMO G UW0 G - L IY0 - EH1 L - M OW0 +GUGLIOTTA G UW0 G - L IY0 - OW1 - T AH0 +GUGLIOTTI G UW0 G - L IY0 - OW1 - T IY0 +GUGLIUZZA G UW0 G - L IY0 - UW1 T - S AH0 +GUHL G AH1 L +GUIANA G IY0 - AA1 - N AH0 +GUICE G AY1 S +GUICHARD G IH0 - SH AA1 R D +GUIDA G IY1 - D AH0 +GUIDANCE G AY1 - D AH0 N S +GUIDE G AY1 D +GUIDE'S G AY1 D Z +GUIDEBOOK G AY1 D - B UH2 K +GUIDEBOOKS G AY1 D - B UH2 K S +GUIDED G AY1 - D AH0 D +GUIDED(2) G AY1 - D IH0 D +GUIDELINE G AY1 D - L AY2 N +GUIDELINES G AY1 D - L AY2 N Z +GUIDEPOST G AY1 D - P OW2 S T +GUIDEPOSTS G AY1 D - P OW2 S T S +GUIDEPOSTS(2) G AY1 D - P OW2 S S +GUIDEPOSTS(3) G AY1 D - P OW2 S +GUIDER G AY1 - D ER0 +GUIDERA G IY0 - D EH1 - R AH0 +GUIDES G AY1 D Z +GUIDI G IY1 - D IY0 +GUIDICE G AY1 - 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P AO0 R T +GULFSTREAM G AH1 L F S - T R IY2 M +GULICK G Y UW1 - L IH0 K +GULINO G UW0 - L IY1 - N OW0 +GULL G AH1 L +GULL'S G AH1 L Z +GULLA G AH1 - L AH0 +GULLAH G AH1 - L AH0 +GULLATT G AH1 - L AH0 T +GULLEDGE G UW1 - L IH0 JH +GULLET G AH1 - L AH0 T +GULLETT G UW1 - L IH0 T +GULLETTE G UW0 - L EH1 T +GULLEY G AH1 - L IY0 +GULLI G UW1 - L IY0 +GULLIBILITY G AH2 - L AH0 - B IH1 - L IH0 - T IY0 +GULLIBLE G AH1 - L AH0 - B AH0 L +GULLICK G AH1 - L IH0 K +GULLICKSON G AH1 - L IH0 K - S AH0 N +GULLIES G AH1 - L IY0 Z +GULLIFORD G AH1 - L IH0 - F ER0 D +GULLIKSON G AH1 - L IH0 K - S AH0 N +GULLION G AH1 - L Y AH0 N +GULLIVER G AH1 - L IH0 - V ER0 +GULLO G UW1 - L OW0 +GULLS G AH1 L Z +GULLY G AH1 - L IY0 +GULP G AH1 L P +GULPED G AH1 L P T +GULPING G AH1 L - P IH0 NG +GULPS G AH1 L P S +GULYAS G UW1 - L Y AH0 S +GUM G AH1 M +GUMAER G AH1 - M AW0 - ER0 +GUMAER(2) G AH1 - M AA2 R +GUMBEL G AH1 M - B AH0 L +GUMBERT G AH1 M - B ER0 T +GUMBI G AH1 M - B IY0 +GUMBI'S G AH1 M - B IY0 Z +GUMBINER G AH1 M - B AY2 - N ER0 +GUMBINGER G AH1 M - B IH2 - NG ER0 +GUMBO G AH1 M - B OW0 +GUMBO-LIMBO G AH1 M - B OW0 - L IH1 M - B OW0 +GUMBS G AH1 M Z +GUMI G UW1 - M IY0 +GUMINA G UW0 - M IY1 - N AH0 +GUMM G AH1 M +GUMMED G AH1 M D +GUMMI G AH1 - M IY0 +GUMMY G AH1 - M IY0 +GUMP G AH1 M P +GUMP'S G AH1 M P S +GUMPERT G AH1 M - P ER2 T +GUMPORT G AH1 M - P AO2 R T +GUMPP G AH1 M P +GUMPTION G AH1 M P - SH AH0 N +GUMS G AH1 M Z +GUMSHOE G AH1 M - SH UW2 +GUMUCIO G Y UW2 - M Y UW1 - S IY0 - OW0 +GUMZ G AH1 M Z +GUN G AH1 N +GUN'S G AH1 N Z +GUNADI G AH0 - N AA1 - D IY0 +GUNATILAKE G UW0 - N AA2 - T IH2 - L AA1 - K EY2 +GUNBOAT G AH1 N - B OW2 T +GUNBOATS G AH1 N - B OW2 T S +GUNBY G AH1 N - B IY0 +GUNCOTTON G AH1 N - K AA1 - T AH0 N +GUNDEL G AH1 N - D AH0 L +GUNDER G AH1 N - D ER0 +GUNDERMAN G AH1 N - D ER0 - M AH0 N +GUNDERSEN G AH1 N - D ER0 - S AH0 N +GUNDERSON G AH1 N - D ER0 - S AH0 N +GUNDLACH G AH1 N D - L AH0 K +GUNDLE G AH1 N - D AH0 L +GUNDOG G AH1 N - D AO2 G +GUNDRUM G AH1 N - D R AH0 M +GUNDRY G AH1 N - D ER0 - IY0 +GUNDY G AH1 N - D IY0 +GUNFIGHT G AH1 N - F AY2 T +GUNFIGHTER G AH1 N - F AY2 - T ER0 +GUNFIGHTER'S G AH1 N - F AY2 - T ER0 Z +GUNFIGHTERS G AH1 N - F AY2 - T ER0 Z +GUNFIGHTING G AH1 N - F AY2 - T IH0 NG +GUNFIGHTS G AH1 N - F AY2 T S +GUNFIRE G AH1 N - F AY2 - ER0 +GUNFIRE(2) G AH1 N - F AY2 R +GUNFLINT G AH1 N - F L IH0 N T +GUNG G AH1 NG +GUNHILDA G UW0 N - HH IY1 L - D AH0 +GUNIA G UW1 - N IY0 - AH0 +GUNKEL G AH1 NG - K AH0 L +GUNLICK G AH1 N - L IH0 K +GUNLICKS G AH1 N - L IH0 K S +GUNMAN G AH1 N - M AH0 N +GUNMAN'S G AH1 N - M AH0 N Z +GUNMEN G AH1 N - M EH2 N +GUNN G AH1 N +GUNN'S G AH1 N Z +GUNNAR G AH1 - N ER0 +GUNNARSON G AH1 - N AA0 R - S AH0 N +GUNNED G AH1 N D +GUNNELL G AH1 - N AH0 L +GUNNELLS G AH1 - N AH0 L Z +GUNNELS G AH1 - N AH0 L Z +GUNNER G AH1 - N ER0 +GUNNERS G AH1 - N ER0 Z +GUNNERSON G AH1 - N ER0 - S AH0 N +GUNNERY G AH1 - N ER0 - IY0 +GUNNING G AH1 - N IH0 NG +GUNNISON G AH1 - N IH0 - S AH0 N +GUNNOE G AH1 - N OW0 +GUNNY G AH1 - N IY0 +GUNNYSACK G AH1 - N IY0 - S AE2 K +GUNNYSACKS G AH1 - N IY0 - S AE2 K S +GUNPOINT G AH1 N - P OY2 N T +GUNPOWDER G AH1 N - P AW2 - D ER0 +GUNRUNNER G AH1 N - R AH2 - N ER0 +GUNS G AH1 N Z +GUNSALUS G AH0 N - S AA1 - L AH0 S +GUNSHIP G AH1 N - SH IH2 P +GUNSHIPS G AH1 N - SH IH2 P S +GUNSHOT G AH1 N - SH AA2 T +GUNSHOTS G AH1 N - SH AA2 T S +GUNSLINGER G AH1 N - S L IH2 - NG ER0 +GUNSLINGERS G AH1 N - S L IH2 - NG ER0 Z +GUNSMOKE G AH1 N - S M OW2 K +GUNST G AH1 N S T +GUNTER G AH1 N - T ER0 +GUNTHER G AH1 N - TH ER0 +GUNTUR G AH1 N - T ER0 +GUNTY G AH1 N - T IY0 +GUPPIES G AH1 - P IY0 Z +GUPPY G AH1 - P IY0 +GUPTA G UH1 P - T AH0 +GUPTILL G AH1 P - T IH0 L +GUPTON G AH1 P - T AH0 N +GURA G UH1 - R AH0 +GURAL G Y UH1 - R AH0 L +GUREVICH G Y UW1 - R IH0 - V IH0 CH +GURGANIOUS G ER1 - G AH0 - N IY0 - IH0 S +GURGANUS G ER1 - G AH0 - N IH0 S +GURGLE G ER1 - G AH0 L +GURGLING G ER1 - G AH0 L - IH0 NG +GURGLING(2) G ER1 - G L IH0 NG +GURIAN G Y UH1 - R IY0 - AH0 N +GURION G Y UH1 - R IY0 - AH0 N +GURIT G Y UH1 - R IH0 T +GURIT(2) G UH1 - R IH0 T +GURKA G ER1 - K AH0 +GURKIN G ER1 - K IH0 N +GURLEY G ER1 - L IY0 +GURNARDS G ER1 - N ER0 D Z +GURNEE G ER0 - N IY1 +GURNEY G ER1 - N IY0 +GURNEY'S G ER1 - N IY0 Z +GURNSEY G ER1 N - S IY0 +GURR G ER1 +GURRIA G ER1 - IY0 - AH0 +GURROLA G UH0 - R OW1 - L AH0 +GURRY G ER1 - IY0 +GURSKI G ER1 S - K IY0 +GURSKY G ER1 S - K IY0 +GURTLER G ER1 - T AH0 L - ER0 +GURTLER(2) G ER1 T - L ER0 +GURTNER G ER1 T - N ER0 +GURTZ G ER1 T S +GURU G UW1 - R UW2 +GURU'S G UW1 - R UW2 Z +GURULE G ER0 - UW1 L +GURUS G UW1 - R UW2 Z +GUS G AH1 S +GUSCIORA G UW2 - S IY0 - AO1 - R AH0 +GUSE G Y UW1 Z +GUSELLA G Y UW2 - S EH1 - L AH0 +GUSEMAN G UW1 S - M AH0 N +GUSES G Y UW1 - Z IH0 Z +GUSES(2) G AH1 - S AH0 Z +GUSH G AH1 SH +GUSHED G AH1 SH T +GUSHER G AH1 - SH ER0 +GUSHERS G AH1 - SH ER0 Z +GUSHES G AH1 - SH IH0 Z +GUSHING G AH1 - SH IH0 NG +GUSINSKY G AH0 - S IH1 N - S K IY0 +GUSKY G AH1 S - K IY0 +GUSLAN G UW1 Z - L AA2 N +GUSLER G AH1 - S AH0 - L ER0 +GUSLER(2) G AH1 S - L ER0 +GUSMAN G AH1 S - M AH0 N +GUSS G AH1 S +GUSSIE G AH1 - S IY0 +GUSSIED G AH1 - S IY0 D +GUSSMAN G AH1 S - M AH0 N +GUSSY G AH1 - S IY0 +GUST G AH1 S T +GUSTAF G UW1 - S T AA0 F +GUSTAFSON G AH1 - S T AH0 F - S AH0 N +GUSTAFSSON G UW1 - S T AA0 F - S AH0 N +GUSTAV G UH1 - S T AA0 F +GUSTAVA G UW0 - S T AA1 - V AH0 +GUSTAVE G UW0 - S T AA1 - V IY0 +GUSTAVESON G UW0 - S T AA0 - V EY1 - S AH0 N +GUSTAVO G AH0 - S T AA1 - V OW0 +GUSTAVSON G AH1 - S T AH0 V - S AH0 N +GUSTE G AH1 S T +GUSTED G AH1 - S T IH0 D +GUSTER G AH1 - S T ER0 +GUSTIN G AH1 - S T IH0 N +GUSTING G AH1 - S T IH0 NG +GUSTO G AH1 - S T OW2 +GUSTON G AH1 - S T AH0 N +GUSTS G AH1 S T S +GUSTUS G AH1 - S T AH0 S +GUSTY G AH1 - S T IY0 +GUT G AH1 T +GUTEKUNST G AH1 - T IH0 - K AH0 N S T +GUTENBERG G UW1 - T AH0 N - B ER0 G +GUTERMAN G Y UW1 - T ER0 - M AH0 N +GUTERMUTH G AH1 - T ER0 - M UW0 TH +GUTFELD G AH1 T - F EH2 L D +GUTFREUND G UH1 T - F R EH2 N D +GUTH G UW1 TH +GUTHERIE G AH1 - TH ER0 - IY0 +GUTHERY G AH1 - TH ER0 - IY0 +GUTHMILLER G AH1 TH - M IH0 - L ER0 +GUTHRIDGE G AH1 - TH R IH0 JH +GUTHRIE G AH1 - TH R IY0 +GUTHRIE'S G AH1 - TH R IY0 Z +GUTIEREZ G UW0 - T IH1 - R EH0 Z +GUTIERRES G UW0 - T Y EH1 - R EH0 Z +GUTIERREZ G UW0 - T Y EH1 - R EH0 Z +GUTKNECHT G UW1 T - N EH0 K T +GUTKOWSKI G AH0 T - K AO1 F S - K IY0 +GUTLESS G AH1 T - L EH0 S +GUTMAN G AH1 T - M AH0 N +GUTMANN G AH1 T - M AH0 N +GUTOWSKI G AH0 - T AO1 F S - K IY0 +GUTRIDGE G AH1 - T R IH2 JH +GUTS G AH1 T S +GUTSHALL G AH1 - CH AH0 L +GUTSY G AH1 T - S IY1 +GUTT G AH1 T +GUTTED G AH1 - T IH0 D +GUTTENBERG G AH1 - T AH0 N - B ER0 G +GUTTER G AH1 - T ER0 +GUTTERED G AH1 - T ER0 D +GUTTERING G AH1 - T ER0 - IH0 NG +GUTTERMAN G AH1 - T ER0 - M AH0 N +GUTTERS G AH1 - T ER0 Z +GUTTING G AH1 - T IH0 NG +GUTTMACHER G AH1 T - M AA2 - K ER0 +GUTTMAN G AH1 T - M AH0 N +GUTTMANN G AH1 T - M AH0 N +GUTTURAL G AH1 - T ER0 - AH0 L +GUTWAKS G AH1 T - W AA2 K S +GUTWEIN G AH1 - T W AY2 N +GUTZMAN G AH1 T S - M AH0 N +GUTZMER G AH1 T S - M ER0 +GUTZWILLER G AH1 T - S W IH2 - L ER0 +GUY G AY1 +GUY'S G AY1 Z +GUYANA G AY2 - AA1 - N AH0 +GUYER G AY1 - ER0 +GUYETT G AY2 - EH1 T +GUYETTE G AY2 - EH1 T +GUYMON G AY1 - M AH0 N +GUYNES G AY1 N Z +GUYNN G AY1 N +GUYON G AY1 - AH0 N +GUYOT G AY1 - AH0 T +GUYS G AY1 Z +GUYS' G AY1 Z +GUYTON G AY1 - T AH0 N +GUZA G Y UW1 - Z AH0 +GUZEK G UW1 - Z EH0 K +GUZIK G Y UW1 - Z IH0 K +GUZMAN G AH1 Z - M AH0 N +GUZMAN(2) G UW1 Z - M AA2 N +GUZOWSKI G AH0 - Z AO1 F S - K IY0 +GUZY G Y UW1 - Z IY0 +GUZZARDO G UW0 T - S AA1 R - D OW0 +GUZZETTA G UW0 T - S EH1 - T AH0 +GUZZETTI G Y UW0 - Z EH1 - T IY0 +GUZZI G UW1 T - S IY0 +GUZZLE G AH1 - Z AH0 L +GUZZLER G AH1 Z - L ER0 +GUZZLERS G AH1 - Z AH0 L - ER0 Z +GUZZLERS(2) G AH1 Z - L ER0 Z +GUZZLES G AH1 - Z AH0 L Z +GUZZLING G AH1 - Z AH0 L - IH0 NG +GUZZLING(2) G AH1 Z - L IH0 NG +GUZZO G UW1 - Z OW0 +GVARYAHU G AH0 - V EH0 R - Y AA1 - HH UW0 +GWALTNEY G W AO1 L T - N IY0 +GWARTNEY G W AO1 R T - N IY0 +GWAY G W EY1 +GWAY(2) JH IY1 - W EY2 +GWEN G W EH1 N +GWENDA G W EH1 N - D AH0 +GWENDOLYN G W EH1 N - D AH0 - L IH0 N +GWENNIE G W EH1 - N IY0 +GWENORE G W EH1 - N ER0 +GWIN G W IH1 N +GWINN G W IH1 N +GWINNER G W IH1 - N ER0 +GWINNETT G W IH0 - N EH1 T +GWIZDALA G W IH0 Z - D AA1 - L AH0 +GWOZDZ G W AA1 Z D Z +GWYN G W IH1 N +GWYNN G W IH1 N +GWYNNE G W IH1 N +GYGER G AY1 - G ER0 +GYI G IY1 +GYI(2) JH IY1 - W AY1 - AY1 +GYLES JH AY1 L Z +GYLLENHAMMAR JH IH1 - L EH0 N - HH AE2 - M ER0 +GYM JH IH1 M +GYM'S JH IH1 M Z +GYMBOREE JH IH2 M - B AO0 - R IY1 +GYMNASIA JH IH0 M - N EY1 - Z IY0 - AH0 +GYMNASIUM JH IH0 M - N EY1 - Z IY0 - AH0 M +GYMNASIUMS JH IH0 M - N EY1 - Z IY0 - AH0 M Z +GYMNAST JH IH1 M - N AH0 S T +GYMNASTIC JH IH0 M - N AE1 - S T IH0 K +GYMNASTICS JH IH0 M - N AE1 - S T IH0 K S +GYMNASTS JH IH1 M - N AE0 S T S +GYMNASTS(2) JH IH1 M - N AE0 S S +GYMNASTS(3) JH IH1 M - N AE0 S +GYMS JH IH1 M Z +GYN G IH1 N +GYN(2) G AY1 N +GYNECOLOGIC G AY2 - N AH0 - K AH0 - L AA1 - JH IH0 K +GYNECOLOGICAL G AY2 - N AH0 - K AH0 - L AA1 - JH IH0 - K AH0 L +GYNECOLOGIST G AY2 - N AH0 - K AA1 - L AH0 - JH AH0 S T +GYNECOLOGISTS G AY2 - N AH0 - K AA1 - L AH0 - JH AH0 S T S +GYNECOLOGISTS(2) G AY2 - N AH0 - K AA1 - L AH0 - JH AH0 S S +GYNECOLOGISTS(3) G AY2 - N AH0 - K AA1 - L AH0 - JH AH0 S +GYNECOLOGY G AY2 - N AH0 - K AA1 - L AH0 - JH IY0 +GYNEX JH IH1 - N AH0 K S +GYOHTEN G Y OW1 - T AH0 N +GYOSAI G Y OW1 - S EY2 +GYP JH IH1 P +GYPPED JH IH1 P T +GYPSIES JH IH1 P - S IY0 Z +GYPSUM JH IH1 P - S AH0 M +GYPSUM'S JH IH1 P - S AH0 M Z +GYPSY JH IH1 P - S IY0 +GYR JH AY1 R +GYRATE JH AY1 - R EY2 T +GYRATED JH AY1 - R EY2 - T IH0 D +GYRATING JH AY1 - R EY2 - T IH0 NG +GYRATION JH AY0 - R EY1 - SH AH0 N +GYRATIONS JH AY0 - R EY1 - SH AH0 N Z +GYRO JH AY1 - R OW2 +GYROCOMPASS JH AY1 - R OW0 - K AH2 M - P AH0 S +GYROPILOT JH AY1 - R OW0 - P AY2 - L AH0 T +GYROS JH AY1 - R OW2 Z +GYROSCOPE JH AY1 - R AH0 - S K OW2 P +GYROSCOPES JH AY1 - R AH0 - S K OW2 P S +GYROSCOPIC JH AY2 - R AH0 - S K AA1 - P IH0 K +GYTHA JH AY1 - DH AH0 +GYUHAMA G Y UW2 - HH AA1 - M AH0 +H EY1 CH +H'S EY1 - CH IH0 Z +H. EY1 CH +H.'S EY1 - CH IH0 Z +HA HH AA1 +HA'ARETZ HH AA1 - R EH0 T S +HA'ARETZ(2) HH AH0 - AA1 - R EH0 T S +HA'ETZNI HH AH0 - EH1 T S - N IY0 +HA(2) EY1 - CH EY1 +HAAB HH AA1 B +HAACK HH AA1 K +HAACKE HH AA1 K +HAAF HH AA1 F +HAAG HH AA1 G +HAAGEN HH AA1 - G AH0 N +HAAGENSON HH AA1 - G IH0 N - S AH0 N +HAAK HH AA1 K +HAAKE HH AA1 K +HAAKENSON HH AA1 - K IH0 N - S AH0 N +HAALAND HH AA1 - L AH0 N D +HAAN HH AA1 N +HAAPALA HH AA2 - P AA1 - L AH0 +HAAR HH AA1 R +HAAS HH AA1 S +HAASE HH AA1 S +HAASS HH AA1 S +HAAVELMO HH AA2 - V EH1 L - M OW0 +HABBEN HH AE1 - B AH0 N +HABEAS HH AE1 - B IY0 - AH0 S +HABECK HH AA1 - B EH0 K +HABECKER HH AE1 - B EH0 - K ER0 +HABEEB HH AE1 - B IY0 B +HABEGGER HH AE1 - B IH0 - G ER0 +HABEL HH AE1 - B AH0 L +HABENICHT HH AE1 - B IH0 - N IH0 K T +HABER HH EY1 - B ER0 +HABERDASHERY HH AE1 - B ER0 - D AE2 - SH ER0 - IY0 +HABERER HH AE1 - B ER0 - ER0 +HABERKORN HH AE1 - B ER0 - K ER0 N +HABERL HH AE1 - B ER0 L +HABERLAND HH AE1 - B ER0 - L AH0 N D +HABERLE HH AE1 - B ER0 - AH0 L +HABERMAN HH EY1 - B ER0 - M AH0 N +HABERMANN HH EY1 - B ER0 - M AH0 N +HABERMEHL HH AE1 - B ER0 - M AH0 L +HABERSON HH EY1 - B ER0 - S IH0 N +HABERSON(2) HH AE1 - B ER0 - S IH0 N +HABERSTROH HH AA0 - B EH1 R - S T R OW0 +HABIB HH AH0 - B IY1 B +HABIBIE HH AH0 - B IY1 - B IY0 +HABICH HH AE1 - B IH0 K +HABICHT HH AE1 - B IH0 K T +HABIG HH AE1 - B IH0 G +HABIGER HH AE1 - B IH0 - G ER0 +HABIT HH AE1 - B AH0 T +HABITABLE HH AE1 - B AH0 - T AH0 - B AH0 L +HABITAT HH AE1 - B AH0 - T AE2 T +HABITAT'S HH AE1 - B AH0 - T AE2 T S +HABITATION HH AE2 - B AH0 - T EY1 - SH AH0 N +HABITATS HH AE1 - B AH0 - T AE2 T S +HABITS HH AE1 - B AH0 T S +HABITUAL HH AH0 - B IH1 - CH UW0 - AH0 L +HABITUALLY HH AH0 - B IH1 - CH UW0 - AH0 - L IY0 +HABITUALLY(2) HH AH0 - B IH1 - CH UW0 - L IY0 +HABITUES HH AE1 - B IH0 - CH UW0 Z +HABLE HH EY1 - B AH0 L +HABS HH AE1 B Z +HABSBURG HH AE1 P S - B ER0 G +HABY HH EY1 - B IY0 +HABYARIMANA HH AE2 - B IY0 - ER0 - IY0 - M AA1 - N AH0 +HABYARIMANA(2) HH AE2 - B IY0 - AA0 - R IY0 - M AA1 - N AH0 +HACH HH AE1 CH +HACHETTE HH AH0 - SH EH1 T +HACHEY HH AE1 - CH IY0 +HACHTEL HH AE1 K - T AH0 L +HACIENDA HH AE2 - S IY0 - EH1 N - D AH0 +HACK HH AE1 K +HACKATHORN HH AE1 - K AH0 - TH ER0 N +HACKBART HH AE1 K - B AA2 R T +HACKBARTH HH AE1 K - B AA2 R TH +HACKBERRY HH AE1 K - B EH2 - R IY0 +HACKE HH AE1 K +HACKED HH AE1 K T +HACKEL HH AE1 - K AH0 L +HACKENBERG HH AE1 - K AH0 N - B ER0 G +HACKENSACK HH AE1 - K AH0 N - S AE2 K +HACKER HH AE1 - K ER0 +HACKER'S HH AE1 - K ER0 Z +HACKERS HH AE1 - K ER0 Z +HACKERT HH AE1 - K ER0 T +HACKETT HH AE1 - K IH0 T +HACKFORD HH AE1 K - F ER0 D +HACKING HH AE1 - K IH0 NG +HACKL HH AE1 - K AH0 L +HACKLE HH AE1 - K AH0 L +HACKLEMAN HH AE1 - K AH0 L - M AH0 N +HACKLER HH AE1 - K AH0 - L ER0 +HACKLER(2) HH AE1 K - L ER0 +HACKLES HH AE1 - K AH0 L Z +HACKLEY HH AE1 K - L IY0 +HACKMAN HH AE1 K - M AE2 N +HACKMAN(2) HH AE1 K - M AH0 N +HACKMANN HH AE1 K - M AH0 N +HACKMATACK HH AE1 K - M AH0 - T AE2 K +HACKNEY HH AE1 K - N IY0 +HACKNEYED HH AE1 K - N IY0 D +HACKS HH AE1 K S +HACKSAW HH AE1 K - S AO2 +HACKSTAFF HH AE1 K - S T AE2 F +HACKWORTH HH AE1 K - W ER2 TH +HAD HH AE1 D +HADA HH AA1 - D AH0 +HADAD HH AE1 - D AH0 D +HADAWAY HH AA1 D - AH0 - W EY0 +HADD HH AE1 D +HADDAD HH AE1 - D AH0 D +HADDAN HH AE1 - D AH0 N +HADDAWAY HH AE1 - D AH0 - W EY0 +HADDEN HH AE1 - D AH0 N +HADDOCK HH AE1 - D AH0 K +HADDON HH AE1 - D AH0 N +HADDOW HH AE1 - D OW0 +HADE HH EY1 D +HADEN HH EY1 - D AH0 N +HADER HH EY1 - D ER0 +HADES HH EY1 - D IY0 Z +HADES(2) HH EY1 D Z +HADFIELD HH AE1 D - F IY2 L D +HADID HH AA0 - D IY1 D +HADLEIGH HH AE1 D - L AH0 +HADLER HH EY1 - D AH0 - L ER0 +HADLER(2) HH EY1 D - L ER0 +HADLEY HH AE1 D - L IY0 +HADLINE HH AE1 D - L AY0 N +HADLOCK HH AE1 D - L AH0 K +HADN'T HH AE1 - D AH0 N T +HADN'T(2) HH AE1 - D AH0 N +HADNOT HH AE1 D - N AH0 T +HADRIA HH AE1 - D R IY0 - AH0 +HADRIAN HH AE1 - D R IY0 - AH0 N +HADRIAN'S HH EY1 - D R IY0 - AH0 N Z +HADRIAN(2) HH EY1 - D R IY0 - AH0 N +HADSALL HH AE1 D - S AH0 L +HADSELL HH AE1 D - S AH0 L +HADSON HH AE1 D - S AH0 N +HADWIN HH AE1 D - W IH0 N +HAEBERLE HH EH1 - B ER0 - AH0 L +HAECKER HH EH1 - K ER0 +HAEFELE HH EH1 - F AH0 L +HAEFFNER HH EH1 F - N ER0 +HAEFNER HH EH1 F - N ER0 +HAEGELE HH EH1 - G AH0 L +HAEGER HH EH1 - G ER0 +HAEN HH IY1 N +HAENEL HH EH1 - N AH0 L +HAERING HH AA1 - ER0 - IH0 NG +HAERTEL HH EH1 R - T AH0 L +HAESE HH IY1 S +HAESSLY HH AE1 S - L IY0 +HAEUSSLER HH AW1 S - L ER0 +HAFELE HH AE1 - F AH0 L +HAFEMAN HH EY1 F - M AH0 N +HAFEN HH AE1 - F AH0 N +HAFER HH EY1 - F ER0 +HAFEY HH EY1 - F IY0 +HAFEZ HH AA1 - F EH0 Z +HAFF HH AE1 F +HAFFEY HH AE1 - F IY0 +HAFFEZ HH AA1 - F EH0 Z +HAFFNER HH AE1 F - N ER0 +HAFFORD HH AE1 - F ER0 D +HAFIF HH AA0 - F IY1 F +HAFIF'S HH AA0 - F IY1 F S +HAFLEY HH AE1 F - L IY0 +HAFNER HH AE1 F - N ER0 +HAFNIA HH AE1 F - N IY0 - AH0 +HAFNIUM HH AE1 F - N IY0 - AH0 M +HAFT HH AE1 F T +HAFT'S HH AE1 F T S +HAFT'S(2) HH AE1 F S +HAFTA HH AE1 F - T AH0 +HAFTS HH AE1 F T S +HAFTS' HH AE1 F T S +HAFTS'(2) HH AE1 F S +HAFTS(2) HH AE1 F S +HAG HH AE1 G +HAGA HH AA1 - G AH0 +HAGADORN HH AE1 - G AH0 - D AO0 R N +HAGAMAN HH AE1 - G AH0 - M AH0 N +HAGAN HH EY1 - G AH0 N +HAGANS HH EY1 - G AH0 N Z +HAGAR HH EY1 - G AA0 R +HAGAR(2) HH EY1 - G ER0 +HAGARTY HH AE1 - G AA0 R - T IY0 +HAGBERG HH AE1 G - B ER0 G +HAGE HH EY1 JH +HAGEDORN HH AE1 - G IH0 - D ER0 N +HAGEE HH AE1 - JH IY0 +HAGEL HH AE1 - G AH0 L +HAGELIN HH AE1 - G IH0 - L IH0 N +HAGEMAN HH EY1 JH - M AH0 N +HAGEMANN HH EY1 JH - M AH0 N +HAGEMEIER HH AE1 - G IH0 - M AY0 - ER0 +HAGEMEISTER HH AE1 - G IH0 - M AY0 - S T ER0 +HAGEMEYER HH AE1 - G IH0 - M AY0 - ER0 +HAGEN HH EY1 - G AH0 N +HAGENBUCH HH AE1 - G IH0 N - B AH0 K +HAGENLOCKER HH EY1 - G AH0 N - L AA2 - K ER0 +HAGENOW HH AE1 - JH IH0 - N OW0 +HAGENS HH EY1 - G AH0 N Z +HAGER HH EY1 - G ER0 +HAGERMAN HH EY1 - G ER0 - M AH0 N +HAGERSTOWN HH EY1 - G ER0 Z - T AW2 N +HAGERTY HH AE1 - JH ER0 - T IY0 +HAGEWOOD HH EY1 JH - W UH0 D +HAGEY HH AE1 - JH IY0 +HAGFISH HH AE1 G - F IH0 SH +HAGG HH AE1 G +HAGGADAH HH AH0 - G AH1 - D AH0 +HAGGAN HH AE1 - G AH0 N +HAGGAR HH AE1 - G ER0 +HAGGARD HH AE1 - G ER0 D +HAGGART HH AE1 - G ER0 T +HAGGARTY HH AE1 - G AA2 R - T IY0 +HAGGE HH AE1 G +HAGGERTY HH AE1 - G ER0 - T IY0 +HAGGETT HH AE1 - G IH0 T +HAGGINS HH AE1 - G IH0 N Z +HAGGLE HH AE1 - G AH0 L +HAGGLED HH AE1 - G AH0 L D +HAGGLING HH AE1 - G AH0 - L IH0 NG +HAGGLING(2) HH AE1 - G L IH0 NG +HAGGLUND HH AE1 G - L AH0 N D +HAGGSTROM HH AE1 G S - T R AH0 M +HAGIN HH AE1 - JH IH0 N +HAGIN(2) HH AE1 - G IH2 N +HAGINS HH AE1 - G IH0 N Z +HAGINS(2) HH AE1 - JH IH2 N Z +HAGIOGRAPHY HH AE2 - G IY0 - AA1 - G R AH0 - F IY0 +HAGIWARA HH AA2 - G IH0 - W AA1 - R AH0 +HAGLE HH EY1 - G AH0 L +HAGLER HH AE1 - G L ER0 +HAGLEY HH AE1 G - L IY0 +HAGLUND HH AE1 G - L AH0 N D +HAGMAN HH AE1 G - M AH0 N +HAGMANN HH AE1 G - M AH0 N +HAGNER HH AE1 G - N ER0 +HAGOOD HH AE1 - G UH0 D +HAGOPIAN HH AH0 - G OW1 - P IY0 - AH0 N +HAGSTROM HH AE1 G S - T R AH0 M +HAGUE HH EY1 G +HAGWOOD HH AE1 G - W UH2 D +HAGY HH EY1 - G IY0 +HAH HH AA1 +HAHL HH AA1 L +HAHM HH AE1 M +HAHN HH AA1 N +HAHNE HH EY1 N +HAHNER HH AA1 - N ER0 +HAHS HH AA1 S +HAID HH EY1 D +HAIDEE HH EY1 - D IY0 +HAIDER HH EY1 - D ER0 +HAIDET HH EY1 - D IH0 T +HAIFA HH AY1 - F AH0 +HAIFONG HH AY1 - F AO0 NG +HAIG HH EY1 G +HAIG'S HH EY1 G Z +HAIGH HH EY1 +HAIGHT HH EY1 T +HAIGLER HH EY1 G - L ER0 +HAIK HH EY1 K +HAIKU HH AY1 - K UW0 +HAIL HH EY1 L +HAILAND HH EY1 - L AH0 N D +HAILE HH EY1 L +HAILE(2) HH AY1 - L IY0 +HAILED HH EY1 L D +HAILES HH EY1 L Z +HAILES(2) HH AY1 - L IY0 Z +HAILEY HH EY1 - L IY0 +HAILING HH EY1 - L IH0 NG +HAILS HH EY1 L Z +HAILSTONE HH EY1 L - S T OW2 N +HAILSTONES HH EY1 L - S T OW2 N Z +HAILSTORM HH EY1 L - S T AO2 R M +HAIM HH AY1 M +HAIM(2) HH EY1 M +HAIMES HH EY1 M Z +HAIMOVITCH HH EY1 - M AH0 - V IH0 CH +HAIMOVITZ HH EY1 - M AH0 - V IH0 T S +HAIMOWITZ HH AY1 - M AH0 - W IH0 T S +HAIN HH EY1 N +HAINAN HH EY1 - N AH0 N +HAINER HH EY1 - N ER0 +HAINES HH EY1 N Z +HAINEY HH EY1 - N IY0 +HAINLEY HH EY1 N - L IY0 +HAINLINE HH EY1 N - L AY2 N +HAINS HH EY1 N Z +HAINSWORTH HH EY1 N - S W ER0 TH +HAIR HH EH1 R +HAIR'S HH EH1 R Z +HAIRCUT HH EH1 R - K AH2 T +HAIRCUTS HH EH1 R - K AH2 T S +HAIRDO HH EH1 R - D UW2 +HAIRDOS HH EH1 R - D UW2 Z +HAIRDRESSER HH EH1 R - D R EH2 - S ER0 +HAIRDRESSERS HH EH1 R - D R EH2 - S ER0 Z +HAIRDRESSING HH EH1 R - D R EH2 - S IH0 NG +HAIRE HH EH1 R +HAIRED HH EH1 R D +HAIRFIELD HH EH1 R - F IY2 L D +HAIRGROVE HH AY1 R - G R AH0 V +HAIRINESS HH EH1 - R IY0 - N AH0 S +HAIRLESS HH EH1 R - L AH0 S +HAIRLINE HH EH1 R - L AY2 N +HAIRR HH EH1 R +HAIRS HH EH1 R Z +HAIRSPRAY HH EH1 R - S P R EY2 +HAIRSTON HH AY1 R - S T AH0 N +HAIRSTYLE HH EH1 R - S T AY2 L +HAIRY HH EH1 - R IY0 +HAISLEY HH EY1 Z - L IY0 +HAISLIP HH AY1 S - L IH0 P +HAIST HH AA1 - IH0 S T +HAIT HH EY1 T +HAITH HH EY1 TH +HAITHCOCK HH EY1 TH - K AA2 K +HAITI HH EY1 - T IY0 +HAITI'S HH EY1 - T IY0 Z +HAITIAN HH EY1 - SH AH0 N +HAITIANS HH EY1 - SH AH0 N Z +HAITIEN HH EY1 - SH AH0 N +HAITIENS HH EY1 - SH AH0 N Z +HAITIS HH EY1 - T IY0 Z +HAIZLIP HH EY1 Z - L IH0 P +HAJDU HH AA1 Y - D UW0 +HAJDUK HH AY1 - D AH0 K +HAJEK HH AY1 - EH0 K +HAJIME HH AA0 - JH IY1 - M IY0 +HAJJ HH AE1 JH +HAJJAR HH AA0 - Y AA1 R +HAKALA HH AH0 - K AA1 - L AH0 +HAKAN HH EY1 - K AH0 N +HAKAN(2) HH AA1 - K AH0 N +HAKANSON HH AE1 - K AH0 N - S AH0 N +HAKE HH EY1 K +HAKES HH EY1 K S +HAKIM HH AA0 - K IY1 M +HAKIM'S HH AA0 - K IY1 M Z +HAKIM'S(2) AA0 - K IY1 M Z +HAKIM(2) AA0 - K IY1 M +HAKKI HH AE1 - K IY0 +HAKKO HH AE1 - K OW0 +HAKON HH AE1 - K AH0 N +HAKUHODO HH AA2 - K UW2 - HH OW1 - D OW0 +HAL HH AE1 L +HAL'S HH AE1 L Z +HALAMA HH AA0 - L AA1 - M AH0 +HALAMANDARIS HH AE2 - L AH0 - M AE1 N - D ER0 - IH0 S +HALAS HH AA1 - L AH0 Z +HALASZ HH AA1 - L AH0 SH +HALBACH HH AE1 L - B AA0 K +HALBERG HH AE1 L - B ER0 G +HALBERSTADT HH AE1 L - B ER0 SH - T AE0 T +HALBERSTAM HH AE1 L - B ER0 - S T AE0 M +HALBERT HH AE1 L - B ER0 T +HALBIG HH AE1 L - B IH0 G +HALBROOK HH AE1 L - B R UH0 K +HALBROOKS HH AE1 L - B R UH0 K S +HALBUR HH AE1 L - B ER0 +HALBUTOGULLARI HH AE0 L - B UW2 - T OW2 - G UW0 - L AA1 - R IY0 +HALCION HH AE1 L - S IY0 - AH0 N +HALCION'S HH AE1 L - S IY0 - AH0 N Z +HALCOMB HH AE1 L - K AH0 M +HALCYON HH AE1 L - S IY0 - AH0 N +HALCYONE HH AE1 L - S IY0 - OW0 N +HALD HH AO1 L D +HALDAN HH AE1 L - D AH0 N +HALDANA HH AH0 L - D AE1 - N AH0 +HALDEMAN HH AA1 L D - M AH0 N +HALDEMAN'S HH AA1 L D - M AH0 N Z +HALDEMAN'S(2) HH AA1 L - D AH0 - M AH0 N Z +HALDEMAN(2) HH AA1 L - D AH0 - M AH0 N +HALDEN HH AO1 L - D AH0 N +HALDER HH AO1 L - D ER0 +HALDERMAN HH AO1 L - D ER0 - M AH0 N +HALE HH EY1 L +HALE'S HH EY1 L Z +HALEN HH EY1 - L EH0 N +HALES HH EY1 L Z +HALEY HH EY1 - L IY0 +HALEY'S HH EY1 - L IY0 Z +HALF HH AE1 F +HALF'S HH AE1 F S +HALFACRE HH AE1 - F EY2 - K ER0 +HALFBACK HH AE1 F - B AE2 K +HALFDAN HH AE1 L F - D AH0 N +HALFERTY HH AE1 - F ER0 - T IY0 +HALFHEARTED HH AE1 F - HH AA2 R - T IH0 D +HALFHILL HH AE1 F - HH IH2 L +HALFMAN HH AE1 F - M AH0 N +HALFMANN HH AE1 F - M AH0 N +HALFORD HH AE1 - F ER0 D +HALFRIDA HH AE1 - F R IH0 - D AH0 +HALFTIME HH AE1 F - T AY2 M +HALFTONE HH AE1 F - T OW2 N +HALFWAY HH AE1 F - W EY1 +HALGREN HH AE1 L - G R EH0 N +HALIBURTON HH AE1 - L IH0 - B ER2 - T AH0 N +HALIBUT HH AE1 - L AH0 - B AH0 T +HALIDE HH AE1 - L AY2 D +HALIFAX HH AE1 - L IH0 - F AE2 K S +HALIK HH AE1 - L IH0 K +HALIMA HH AH0 - L IY1 - M AH0 +HALIMEDA HH AA0 - L IY0 - M EY1 - D AH0 +HALITE HH AE1 - L AY0 T +HALKO HH AE1 L - K OW0 +HALL HH AO1 L +HALL'S HH AO1 L Z +HALLA HH AE1 - L AH0 +HALLADAY HH AE1 - L AH0 - D EY2 +HALLAHAN HH AE1 - L AH0 - HH AE0 N +HALLAM HH AE1 - L AH0 M +HALLANAN HH AE1 - L AH0 - N AH0 N +HALLANDALE HH AE1 - L AH0 N - D EY2 L +HALLAS HH AE1 - L AH0 Z +HALLAUER HH AE1 - L AW0 - ER0 +HALLBAUER HH AO1 L - B AW2 R +HALLBERG HH AO1 L - B ER0 G +HALLE HH AE1 L +HALLE(2) HH AE1 - L IY0 +HALLECK HH AE1 - L IH0 K +HALLELUJAH HH AE2 - L AH0 - L UW1 - Y AH0 +HALLEN HH AO1 - L AH0 N +HALLENBECK HH AO1 - L AH0 N - B EH2 K +HALLER HH AO1 - L ER0 +HALLERAN HH AE1 - L ER0 - AE0 N +HALLET HH AE1 - L IH0 T +HALLETT HH AE1 - L IH0 T +HALLEY HH AE1 - L IY0 +HALLEY(2) HH EY1 - L IY0 +HALLFORD HH AE1 L - F ER0 D +HALLGARTEN HH AO1 L - G AA2 R - T AH0 N +HALLGREN HH AE1 L - G R EH0 N +HALLIBURTON HH AE1 - L IH0 - B ER2 - T AH0 N +HALLIBURTON'S HH AE1 - L IH0 - B ER2 - T AH0 N Z +HALLICIFORN HH AH0 - L IH1 - S IH0 - F AO0 R N +HALLIDAY HH AE1 - L IH0 - D EY2 +HALLIE HH AO1 - L IY0 +HALLIGAN HH AE1 - L IH0 - G AH0 N +HALLIN HH AE1 - L IH0 N +HALLINAN HH AE1 - L IH0 - N AH0 N +HALLING HH AO1 - L IH0 NG +HALLINGBY HH AO1 - L IH0 NG - B IY0 +HALLISEY HH AE1 - L IH0 - S IY0 +HALLMAN HH AO1 L - M AH0 N +HALLMARK HH AA1 L - M AA2 R K +HALLMARK'S HH AO1 L - M AA2 R K S +HALLMARKS HH AO1 L - M AA2 R K S +HALLOCK HH AE1 - L AH0 K +HALLORAN HH AE1 - L ER0 - AH0 N +HALLOW HH AE1 - L OW0 +HALLOWAY HH AE1 - L OW0 - W EY2 +HALLOWE'EN HH AE2 - L AH0 W - IY1 N +HALLOWED HH AE1 - L OW0 D +HALLOWEEN HH AE2 - L AH0 W - IY1 N +HALLOWELL HH AE1 - L AH0 W - EH0 L +HALLOWS HH AE1 - L OW0 Z +HALLQUIST HH AE1 L - K W IH0 S T +HALLS HH AO1 L Z +HALLSTROM HH AE1 L - S T R AH0 M +HALLUCINATE HH AH0 - L UW1 - S AH0 - N EY0 T +HALLUCINATED HH AH0 - L UW1 - S AH0 - N EY0 - T IH0 D +HALLUCINATES HH AH0 - L UW1 - S AH0 - N EY0 T S +HALLUCINATING HH AH0 - L UW1 - S AH0 - N EY0 - T IH0 NG +HALLUCINATING(2) HH AH0 - L UW1 - S IH0 - N EY0 - T IH0 NG +HALLUCINATION HH AH0 - L UW2 - S AH0 - N EY1 - SH AH0 N +HALLUCINATIONS HH AH0 - L UW2 - S AH0 - N EY1 - SH AH0 N Z +HALLUCINATORY HH AH0 - L UW1 - S AH0 - N AH0 - T AO2 - R IY0 +HALLUCINOGENIC HH AH0 - L UW2 - S AH0 - N AH0 - JH EH1 - N IH0 K +HALLUM HH AE1 - L AH0 M +HALLUMS HH AE1 - L AH0 M Z +HALLWARD HH AO1 L - W ER0 D +HALLWAY HH AO1 L - W EY2 +HALLWAYS HH AO1 L - W EY2 Z +HALLWOOD HH AO1 L - W UH2 D +HALLY HH AE1 - L IY0 +HALM HH AA1 M +HALMI HH AO1 L - M IY0 +HALMOS HH AO1 L - M OW0 S +HALMSTAD HH AA1 L M - S T AE2 D +HALO HH EY1 - L OW0 +HALOGEN HH AE1 - L AH0 - JH AH0 N +HALOGENATE HH AE1 - L AH0 - JH AH0 - N EY2 T +HALOGENATED HH AE1 - L AH0 - JH AH0 - N EY2 - T IH0 D +HALON HH EY1 - L AA2 N +HALOPHYTIC HH AE2 - L AH0 - F IH1 - T IH0 K +HALOS HH EY1 - L OW0 Z +HALPER HH AE1 L - P ER0 +HALPERIN HH AE1 L - P ER0 - IH0 N +HALPERIN(2) HH AE1 L - P R IH0 N +HALPERN HH AE1 L - P ER0 N +HALPERT HH AE1 L - P ER0 T +HALPIN HH AE1 L - P IH0 N +HALPRIN HH AE1 L - P R IH0 N +HALSELL HH AE1 L - S AH0 L +HALSETH HH AE1 L - S IH0 TH +HALSEY HH AE1 L - S IY0 +HALSTEAD HH AE1 L - S T EH0 D +HALSTED HH AE1 L - S T IH0 D +HALSTON HH AO1 L - S T AH0 N +HALT HH AO1 L T +HALTED HH AO1 L - T AH0 D +HALTED(2) HH AO1 L - T IH0 D +HALTEMAN HH EY1 L T - M AH0 N +HALTER HH AO1 L - T ER0 +HALTERMAN HH AO1 L - T ER0 - M AH0 N +HALTERS HH AO1 L - T ER0 Z +HALTING HH AO1 L - T IH0 NG +HALTINGLY HH AO1 L - T IH0 NG - L IY0 +HALTIWANGER HH AE1 L - T IH0 - W AH0 - NG ER0 +HALTOM HH AE1 L - T AH0 M +HALTON HH AE1 L - T AH0 N +HALTS HH AO1 L T S +HALUSKA HH AH0 - L AH1 - S K AH0 +HALVE HH AE1 V +HALVED HH AE1 V D +HALVERSON HH AE1 L - V ER0 - S AH0 N +HALVES HH AE1 V Z +HALVING HH AE1 - V IH0 NG +HALVORSEN HH AE0 L - V AO1 R - S AH0 N +HALVORSON HH AE1 L - V ER0 - S AH0 N +HAM HH AE1 M +HAMA HH AA1 - M AH0 +HAMACHER HH AE1 - M AH0 - K ER0 +HAMAD HH AE1 - M AH0 D +HAMADA HH AA0 - M AA1 - D AH0 +HAMADEI HH AE1 - M AH0 - D EY2 +HAMADI HH AH0 - M AA1 - D IY0 +HAMAKER HH AA1 - M EY0 - K ER0 +HAMAL HH EY1 - M AH0 L +HAMAMOTO HH AA0 - M AA0 - M OW1 - T OW0 +HAMAN HH EY1 - M AH0 N +HAMANAKA HH AH0 - M AH0 - N AA1 - K AH0 +HAMANN HH AA1 - M AH0 N +HAMAR HH AH0 - M AA1 R +HAMAS HH AA2 - M AA1 S +HAMAS' HH AA2 - M AA1 S +HAMASAKI HH AA2 - M AA0 - S AA1 - K IY0 +HAMBELTON HH AH0 M - B EH1 L - T AH0 N +HAMBERG HH AE1 M - B ER0 G +HAMBERGER HH AE1 M - B ER0 - G ER0 +HAMBLEN HH AE1 M - B AH0 - L AH0 N +HAMBLET HH AE1 M - B L IH0 T +HAMBLETON HH AE1 M - B AH0 L - T AA0 N +HAMBLEY HH AE1 M - B L IY0 +HAMBLIN HH AE1 M - B L IH0 N +HAMBLY HH AE1 M - B L IY0 +HAMBRECHT HH AE1 M - B R EH2 K T +HAMBRICK HH AE1 M - B R IH2 K +HAMBRIGHT HH AE1 M - B R AY2 T +HAMBRO HH AE1 M - B R OW0 +HAMBROS HH AE1 M - B R OW0 S +HAMBURG HH AE1 M - B ER0 G +HAMBURGER HH AE1 M - B ER0 - G ER0 +HAMBURGERS HH AE1 M - B ER0 - G ER0 Z +HAMBY HH AE1 M - B IY0 +HAMDAN HH AE1 M - D AH0 N +HAMDOON HH AE0 M - D UW1 N +HAMED HH AE1 M D +HAMEISTER HH AE1 - M AY0 - S T ER0 +HAMEL HH AE1 - M AH0 L +HAMELIN HH AE1 - M AH0 - L IH0 N +HAMELIN(2) HH AE1 M - L IH2 N +HAMER HH AE1 - M ER0 +HAMES HH EY1 M Z +HAMID HH AH0 - M IY1 D +HAMIEL HH AE1 - M IY0 L +HAMIL HH AE1 - M AH0 L +HAMILL HH AE1 - M AH0 L +HAMILTON HH AE1 - M AH0 L - T AH0 N +HAMILTON'S HH AE1 - M AH0 L - T AH0 N Z +HAMISH HH AE1 - M IH0 SH +HAMITER HH AE1 - M AY0 - T ER0 +HAMITIC HH AE0 - M IH1 - T IH0 K +HAMLER HH AE1 - M AH0 - L ER0 +HAMLER(2) HH AE1 M - L ER0 +HAMLET HH AE1 M - L AH0 T +HAMLET(2) HH AE1 M - L IH0 T +HAMLETS HH AE1 M - L AH0 T S +HAMLETT HH AE1 M - L IH0 T +HAMLEY HH AE1 M - L IY0 +HAMLEY'S HH AE1 M - L IY0 Z +HAMLIN HH AE1 M - L IH0 N +HAMLING HH AE1 M - L IH0 NG +HAMLISCH HH AE1 M - L IH0 SH +HAMLISCH'S HH AE1 M - L IH0 - SH AH0 Z +HAMM HH AE1 M +HAMMAC HH AE1 - M AH0 K +HAMMACHER HH AE1 - M AA2 - K ER0 +HAMMACK HH AE1 - M AH0 K +HAMMAKER HH AE1 - M EY2 - K ER0 +HAMMAN HH AE1 - M AH0 N +HAMMANN HH AE1 - M AH0 N +HAMMAR HH AE1 - M ER0 +HAMMAS HH AH0 - M AA1 S +HAMMAS' HH AH0 - M AA1 S +HAMMAS'S HH AH0 - M AA1 - S IH0 S +HAMME HH AE1 M +HAMMEL HH AE1 - M AH0 L +HAMMELL HH AE1 - M AH0 L +HAMMEN HH AE1 - M AH0 N +HAMMER HH AE1 - M ER0 +HAMMER'S HH AE1 - M ER0 Z +HAMMERED HH AE1 - M ER0 D +HAMMERING HH AE1 - M ER0 - IH0 NG +HAMMERLE HH AE1 - M ER0 - AH0 L +HAMMERLOCK HH AE1 - M ER0 - L AA2 K +HAMMERMAN HH AE1 - M ER0 - M AH0 N +HAMMERMEISTER HH AE1 - M ER0 - M AY2 - S T ER0 +HAMMERMILL HH AE1 - M ER0 - M IH2 L +HAMMERS HH AE1 - M ER0 Z +HAMMERSCHMIDT HH AE1 - M ER0 SH - M IH2 T +HAMMERSLEY HH AE1 - M ER0 S - L IY0 +HAMMERSMITH HH AE1 - M ER0 - S M IH2 TH +HAMMERSON HH AE1 - M ER0 - S AH0 N +HAMMERSTEIN HH AE1 - M ER0 - S T IY2 N +HAMMERSTEIN'S HH AE1 - M ER0 - S T IY2 N Z +HAMMERSTEIN'S(2) HH AE1 - M ER0 - S T AY2 N Z +HAMMERSTEIN(2) HH AE1 - M ER0 - S T AY2 N +HAMMERSTROM HH AE1 - M ER0 S - T R AH0 M +HAMMES HH AE1 M Z +HAMMETT HH AE1 - M IH0 T +HAMMILL HH AE1 - M AH0 L +HAMMITT HH AE1 - M IH0 T +HAMMOCK HH AE1 - M AH0 K +HAMMOCKS HH AE1 - M AH0 K S +HAMMON HH AE1 - M AH0 N +HAMMOND HH AE1 - M AH0 N D +HAMMONDS HH AE1 - M AH0 N D Z +HAMMONS HH AE1 - M AH0 N Z +HAMMONTREE HH AE0 - M AH0 N - T R IY1 +HAMNER HH AE1 M - N ER0 +HAMON HH AE1 - M AH0 N +HAMOR HH AE1 - M ER0 +HAMP HH AE1 M P +HAMPE HH AE1 M P +HAMPEL HH AE1 M - P AH0 L +HAMPER HH AE1 M - P ER0 +HAMPERED HH AE1 M - P ER0 D +HAMPERING HH AE1 M - P ER0 - IH0 NG +HAMPERS HH AE1 M - P ER0 Z +HAMPLE HH AE1 M - P AH0 L +HAMPSHIRE HH AE1 M P - SH ER0 +HAMPSHIRE'S HH AE1 M P - SH ER0 Z +HAMPSHIRE'S(2) HH AE1 M - SH ER0 Z +HAMPSHIRE'S(3) HH AE1 M P - SH AY0 - ER0 Z +HAMPSHIRE'S(4) HH AE1 M - SH AY0 - ER0 Z +HAMPSHIRE(2) HH AE1 M - SH ER0 +HAMPSHIRE(3) HH AE1 M P - SH AY0 - ER0 +HAMPSHIRE(4) HH AE1 M - SH AY0 - ER0 +HAMPSHIRITES HH AE1 M P - SH ER0 - AY2 T S +HAMPSON HH AE1 M P - S AH0 N +HAMPSTEAD HH AE1 M P - S T EH2 D +HAMPTON HH AE1 M P - T AH0 N +HAMPTON'S HH AE1 M P - T AH0 N Z +HAMPTONS HH AE1 M P - T AH0 N Z +HAMRE HH AE1 - M ER0 +HAMRIC HH AE1 M - R IH0 K +HAMRICK HH AE1 M - R IH0 K +HAMROCK HH AE1 M - R AA2 K +HAMS HH AE1 M Z +HAMSHER HH AE1 M - SH ER0 +HAMSON HH AE1 M - S AH0 N +HAMSPHIRE HH AE1 M S - F AY2 R +HAMSTER HH AE1 M - S T ER0 +HAMSTERS HH AE1 M - S T ER0 Z +HAMSTRA HH AE1 M - S T R AH0 +HAMSTRING HH AE1 M - S T R IH2 NG +HAMSTRINGS HH AE1 M - S T R IH2 NG Z +HAMSTRUNG HH AE1 M - S T R AH0 NG +HAMTRAMCK HH AE0 M - T R AE1 - M IH0 K +HAN HH AA1 N +HAN'S HH AA1 N Z +HAN'S(2) HH AE1 N Z +HAN(2) HH AE1 N +HANA HH AE1 - N AH0 +HANAFIN HH AE1 - N AH0 - F IH0 N +HANAGAN HH AA0 - N AA1 - G AA0 N +HANAHAN HH AE1 - N AH0 - HH AE0 N +HANAK HH AA1 - N AH0 K +HANAN HH EY1 - N AH0 N +HANAS HH AE1 - N AH0 Z +HANAUER HH AE1 - N AW0 - ER0 +HANAWALT HH AE1 - N AH0 - W AO2 L T +HANAWAY HH AE1 - N AH0 - W EY0 +HANBACK HH AE1 N - B AE2 K +HANBERRY HH AE1 N - B EH2 - R IY0 +HANBURY HH AE1 N - B EH2 - R IY0 +HANBY HH AE1 N - B IY0 +HANCE HH AE1 N S +HANCHER HH AE1 N - CH ER0 +HANCHETT HH AE1 N - CH IH0 T +HANCHEY HH AE1 N - CH IY0 +HANCOCK HH AE1 N - K AA2 K +HANCOCK'S HH AE1 N - K AA2 K S +HANCOX HH AE1 N - K AA0 K S +HAND HH AE1 N D +HANDA HH AE1 N - D AH0 +HANDBAG HH AE1 N D - B AE2 G +HANDBAGS HH AE1 N D - B AE2 G Z +HANDBALL HH AE1 N D - B AO2 L +HANDBILL HH AE1 N D - B IH2 L +HANDBILLS HH AE1 N D - B IH2 L Z +HANDBOOK HH AE1 N D - B UH2 K +HANDBOOKS HH AE1 N D - B UH2 K S +HANDCLASP HH AE1 N D - K L AE2 S P +HANDCRAFT HH AE1 N D - K R AE2 F T +HANDCRAFTED HH AE1 N D - K R AE2 F - T IH0 D +HANDCRAFTS HH AE1 N D - K R AE2 F T S +HANDCUFF HH AE1 N D - K AH2 F +HANDCUFFED HH AE1 N D - K AH2 F T +HANDCUFFS HH AE1 N D - K AH2 F S +HANDED HH AE1 N - D AH0 D +HANDED(2) HH AE1 N - D IH0 D +HANDEDLY HH AE1 N - D IH0 D - L IY0 +HANDEDNESS HH AE1 N - D AH0 D - N AH0 S +HANDEL HH AE1 N - D AH0 L +HANDEL'S HH AE1 N - D AH0 L Z +HANDELAND HH AE1 N - D IH0 - L AH0 N D +HANDELMAN HH AE1 N - D AH0 L - M AH0 N +HANDELS HH AE1 N - D AH0 L Z +HANDELSBANK HH AE1 N - D AH0 L Z - B AE2 NG K +HANDELSBANKEN HH AE2 N - D AH0 L - S B AE1 NG - K AH0 N +HANDELSMAN HH AE1 N - D IH0 L S - M AH0 N +HANDER HH AE1 N - D ER0 +HANDERS HH AE1 N - D ER0 Z +HANDFORD HH AE1 N D - F ER0 D +HANDFUL HH AE1 N D - F UH2 L +HANDFULS HH AE1 N D - F UH2 L Z +HANDGUN HH AE1 N D - G AH2 N +HANDGUNS HH AE1 N D - G AH2 N Z +HANDHELD HH AE1 N D - HH EH1 L D +HANDHOLD HH AE1 N D - HH OW2 L D +HANDHOLDING HH AE1 N D - HH OW2 L - D IH0 NG +HANDICAP HH AE1 N - D IY0 - K AE2 P +HANDICAPPED HH AE1 N - D IY0 - K AE2 P T +HANDICAPPER HH AE1 N - D IY0 - K AE2 - P ER0 +HANDICAPPERS HH AE1 N - D IY0 - K AE2 - P ER0 Z +HANDICAPPING HH AE1 N - D IY0 - K AE2 - P IH0 NG +HANDICAPS HH AE1 N - D IY0 - K AE2 P S +HANDICRAFT HH AE1 N - D IY0 - K R AE2 F T +HANDICRAFTS HH AE1 N - D IY0 - K R AE2 F T S +HANDIER HH AE1 N - D IY0 - ER0 +HANDILY HH AE1 N - D AH0 - L IY0 +HANDING HH AE1 N - D IH0 NG +HANDIWORK HH AE1 N - D IY0 - W ER2 K +HANDKE HH AE1 N D - K IY0 +HANDKERCHIEF HH AE1 NG - K ER0 - CH IH0 F +HANDKERCHIEF(2) HH AE1 NG - K ER0 - CH IY0 F +HANDKERCHIEFS HH AE1 NG - K ER0 - CH AH0 F S +HANDKERCHIEFS(2) HH AE1 NG - K ER0 - CH IY0 F S +HANDLE HH AE1 N - D AH0 L +HANDLEBAR HH AE1 N - D AH0 L - B AA2 R +HANDLEBARS HH AE1 N - D AH0 L - B AA2 R Z +HANDLED HH AE1 N - D AH0 L D +HANDLER HH AE1 N D - L ER0 +HANDLER(2) HH AE1 N - D AH0 - L ER0 +HANDLERS HH AE1 N D - L ER0 Z +HANDLERS(2) HH AE1 N - D AH0 - L ER0 Z +HANDLES HH AE1 N - D AH0 L Z +HANDLEY HH AE1 N D - L IY0 +HANDLIN HH AE1 N D - L IH0 N +HANDLING HH AE1 N D - L IH0 NG +HANDLING(2) HH AE1 N - D AH0 L - IH0 NG +HANDLON HH AE1 N D - L AH0 N +HANDLOOM HH AE1 N D - L UW2 M +HANDLOOMS HH AE1 N D - L UW2 M Z +HANDLY HH AE1 N D - L IY0 +HANDMADE HH AE1 N D - M EY1 D +HANDMADE(2) HH AE1 N - M EY1 D +HANDOUT HH AE1 N D - AW2 T +HANDOUTS HH AE1 N D - AW2 T S +HANDOVER HH AE1 N D - OW0 - V ER0 +HANDPICK HH AE1 N D - P IH1 K +HANDPICKED HH AE1 N D - P IH1 K T +HANDRAIL HH AE1 N D - R EY2 L +HANDRICH HH AE1 N - D R IH0 K +HANDROS HH AE1 N - D R OW0 S +HANDS HH AE1 N D Z +HANDS(2) HH AE1 N Z +HANDSAW HH AE1 N D - S AO2 +HANDSET HH AE1 N D - S EH2 T +HANDSETS HH AE1 N D - S EH2 T S +HANDSHAKE HH AE1 N D - SH EY2 K +HANDSHAKES HH AE1 N D - SH EY2 K S +HANDSHAKING HH AE1 N D - SH EY2 - K IH0 NG +HANDSOME HH AE1 N - S AH0 M +HANDSOMELY HH AE1 N - S AH0 M - L IY0 +HANDSTAND HH AE1 N D - S T AE2 N D +HANDSTANDS HH AE1 N D - S T AE2 N D Z +HANDWERK HH AE1 N D - W ER0 K +HANDWERKER HH AE1 N D - W ER0 - K ER0 +HANDWOVEN HH AE1 N D - W OW1 - V AH0 N +HANDWOVEN(2) HH AE1 N - W OW1 - V AH0 N +HANDWRITING HH AE1 N D - R AY2 - T IH0 NG +HANDWRITTEN HH AE1 N D - R IH2 - T AH0 N +HANDY HH AE1 N - D IY0 +HANDYMAN HH AE1 N - D IY0 - M AE2 N +HANDYMEN HH AE1 N - D IY0 - M EH1 N +HANE HH EY1 N +HANEDA HH AH0 - N EY1 - D AH0 +HANEL HH AE1 - N AH0 L +HANELINE HH AE1 - N IH0 - L AY2 N +HANEMANN HH EY1 N - M AH0 N +HANER HH EY1 - N ER0 +HANES HH EY1 N Z +HANEY HH EY1 - N IY0 +HANF HH AE1 N F +HANFORD HH AE1 N - F ER0 D +HANFT HH AE1 N F T +HANG HH AE1 NG +HANGAR HH AE1 - NG ER0 +HANGARS HH AE1 - NG ER0 Z +HANGARTNER HH AE1 NG - G AA0 R T - N ER0 +HANGED HH AE1 NG D +HANGEN HH AE1 - NG AH0 N +HANGER HH AE1 - NG ER0 +HANGERS HH AE1 - NG ER0 Z +HANGIN' HH AE1 NG - G IH0 N +HANGING HH AE1 - NG IH0 NG +HANGING(2) HH AE1 - NG G IH0 NG +HANGINGS HH AE1 - NG G IH0 NG Z +HANGMAN HH AE1 NG - M AH0 N +HANGOUT HH AE1 NG - AW2 T +HANGOUTS HH AE1 NG - AW2 T S +HANGOVER HH AE1 NG - OW2 - V ER0 +HANGOVERS HH AE1 NG - OW2 - V ER0 Z +HANGS HH AE1 NG Z +HANGSANG HH AE1 NG - S AE2 NG +HANGSANG'S HH AE1 NG - S AE2 NG Z +HANGUP HH AE1 NG G - AH2 P +HANGUPS HH AE1 NG G - AH2 P S +HANI HH AE1 - N IY0 +HANI'S HH AE1 - N IY0 Z +HANIFEN HH AE1 - N IH0 - F AH0 N +HANIFIN HH AE1 - N IH0 - F IH0 N +HANIGAN HH AE1 - N IH0 - G AH0 N +HANING HH EY1 - N IH0 NG +HANISCH HH AE1 - N IH0 SH +HANISEE HH AE1 - N IH0 - S IY0 +HANISH HH AE1 - N IH0 SH +HANJIN HH AE1 N - JH IH0 N +HANK HH AE1 NG K +HANK'S HH AE1 N K S +HANKE HH AE1 NG K +HANKEL HH AE1 NG - K AH0 L +HANKEN HH AE1 NG - K AH0 N +HANKER HH AE1 NG - K ER0 +HANKERING HH AE1 NG - K ER0 - IH0 NG +HANKERSON HH AE1 NG - K ER0 - S AH0 N +HANKES HH AE1 NG K S +HANKEY HH AE1 NG - K IY0 +HANKIN HH AE1 NG - K IH0 N +HANKINS HH AE1 NG - K IH0 N Z +HANKINSON HH AE1 NG - K IH0 N - S AH0 N +HANKLA HH AE1 NG - K L AH0 +HANKO HH AE1 NG - K OW0 +HANKS HH AE1 NG K S +HANKY HH AE1 NG - K IY0 +HANLEY HH AE1 N - L IY0 +HANLEY'S HH AE1 - N L IY0 Z +HANLIN HH AE1 N - L IH0 N +HANLON HH AE1 N - L AH0 N +HANLY HH AE1 N - L IY0 +HANMER HH AE1 N - M ER0 +HANN HH AE1 N +HANNA HH AE1 - N AH0 +HANNA'S HH AE1 - N AH0 Z +HANNAFORD HH AE1 - N AH0 - F ER0 D +HANNAGAN HH AE1 - N AH0 - G AE0 N +HANNAH HH AE1 - N AH0 +HANNAHS HH AE1 - N AH0 Z +HANNAM HH AE1 - N AH0 M +HANNAMAN HH AE1 - N AH0 - M AH0 N +HANNAN HH AE1 - N AH0 N +HANNAY HH AE1 - N EY0 +HANNEKEN HH AE1 - N IH0 - K AH0 N +HANNEMAN HH AE1 N - M AH0 N +HANNEMANN HH AE1 N - M AH0 N +HANNEN HH AE1 - N AH0 N +HANNER HH AE1 - N ER0 +HANNERS HH AE1 - N ER0 Z +HANNES HH AE1 N Z +HANNESSON HH AE1 - N AH0 - S AH0 N +HANNEY HH AE1 - N IY0 +HANNI HH AE1 - N IY0 +HANNIBAL HH AE1 - N IH0 - B AH0 L +HANNIE HH AE1 - N IY0 +HANNIFIN HH AE1 - N IH0 - F IH0 N +HANNIG HH AE1 - N IH0 G +HANNIGAN HH AE1 - N IH0 - G AH0 N +HANNING HH AE1 - N IH0 NG +HANNIS HH AE1 - N IH0 S +HANNITY HH AE1 - N IH0 - T IY0 +HANNOCH HH AE1 - N AH0 K +HANNOLD HH AE1 - N OW2 L D +HANNON HH AE1 - N AH0 N +HANNULA HH AE1 - N UW0 - L AH0 +HANNUM HH AE1 - N AH0 M +HANNY HH AE1 - N IY0 +HANO HH AA1 - N OW0 +HANOI HH AE1 - N OY0 +HANOI'S HH AH0 - N OY1 Z +HANOLD HH AE1 - N OW0 L D +HANOVER HH AE1 - N OW0 - V ER0 +HANOVER'S HH AE1 - N OW0 - V ER0 Z +HANOVERIAN HH AE2 - N OW0 - V IH1 - R IY0 - AH0 N +HANRAHAN HH AE1 N - R AH0 - HH AE0 N +HANRATTY HH AE1 - N R AH0 - T IY0 +HANS HH AA1 N S +HANS(2) HH AE1 N Z +HANSA HH AE1 N - S AH0 +HANSARD HH AE1 N - S ER0 D +HANSBERGER HH AE1 N S - B ER0 - G ER0 +HANSBERRY HH AE1 N S - B EH2 - R IY0 +HANSBROUGH HH AE1 N S - B R AW0 +HANSBURY HH AE1 N S - B EH0 - R IY0 +HANSCHE HH AE1 N - SH IY0 +HANSCOM HH AE1 N S - K AH0 M +HANSEATIC HH AE2 N - S IY0 - AE1 - T IH0 K +HANSEL HH AE1 N - S AH0 L +HANSELL HH AE1 N - S AH0 L +HANSELMAN HH AE1 N - S AH0 L - M AH0 N +HANSEN HH AE1 N - S AH0 N +HANSEN'S HH AE1 N - S AH0 N Z +HANSER HH AA1 N - S ER0 +HANSFORD HH AE1 N S - F ER0 D +HANSHAW HH AE1 N - SH AO2 +HANSHEW HH AE1 N - SH UW0 +HANSHIN HH AE1 N - SH IH0 N +HANSLEY HH AE1 N S - L IY0 +HANSMAN HH AE1 N S - M AH0 N +HANSMANN HH AE1 N S - M AH0 N +HANSOM HH AE1 N - S AH0 M +HANSON HH AE1 N - S AH0 N +HANSON'S HH AE1 N - S AH0 N Z +HANSSEN HH AE1 N - S AH0 N +HANSSON HH AE1 N - S AH0 N +HANTA HH AE1 N - T AH0 +HANTA(2) HH AA1 N - T AH0 +HANTAVIRUS HH AE1 N - T AH0 - V AY2 - R AH0 S +HANTEN HH AE1 N - T AH0 N +HANTHORN HH AE1 N - TH ER0 N +HANTMAN HH AE1 N T - M AH0 N +HANTZ HH AE1 N T S +HANUKKAH HH AA1 - N AH0 - K AH0 +HANUKKAH'S HH AA1 - N AH0 - K AH0 Z +HANUKKAHS HH AA1 - N AH0 - K AH0 Z +HANUS HH EY1 - N IH0 S +HANVEY HH AE1 N - V IY0 +HANWA HH AE1 - N W AH0 +HANWA'S HH AE1 - N W AH0 Z +HANWAY HH AE1 N - W EY2 +HANY HH EY1 - N IY0 +HANY'S HH EY1 - N IY0 Z +HANZEL HH AE1 N - Z AH0 L +HANZLIK HH AE1 N Z - L IH0 K +HAO HH AW1 +HAO-CHI HH AW1 - CH IY1 +HAP HH AE1 P +HAPAG HH EY1 - P AE2 G +HAPEMAN HH EY1 P - M AH0 N +HAPGOOD HH AE1 P - G UH2 D +HAPHAZARD HH AE0 P - HH AE1 - Z ER0 D +HAPHAZARDLY HH AE1 F - AH0 - Z ER0 D - L IY0 +HAPHAZARDLY(2) HH AE0 P - HH AE1 - Z ER0 D - L IY0 +HAPKE HH EY1 P - K IY0 +HAPLESS HH AE1 P - L AH0 S +HAPLOID HH AE1 - P L OY0 D +HAPNER HH AE1 P - N ER0 +HAPOALIM HH AH0 - P OW1 - L IH0 M +HAPOALIM(2) HH AH0 - P OW0 - AH0 - L IY1 M +HAPP HH AE1 P +HAPPE HH AE1 P +HAPPEL HH AE1 - P AH0 L +HAPPEN HH AE1 - P AH0 N +HAPPENED HH AE1 - P AH0 N D +HAPPENING HH AE1 - P AH0 - N IH0 NG +HAPPENING(2) HH AE1 P - N IH0 NG +HAPPENINGS HH AE1 - P AH0 - N IH0 NG Z +HAPPENINGS(2) HH AE1 P - N IH0 NG Z +HAPPENS HH AE1 - P AH0 N Z +HAPPENSTANCE HH AE1 - P AH0 N - S T AE2 N S +HAPPIER HH AE1 - P IY0 - ER0 +HAPPIEST HH AE1 - P IY0 - AH0 S T +HAPPILY HH AE1 - P AH0 - L IY0 +HAPPINESS HH AE1 - P IY0 - N AH0 S +HAPPY HH AE1 - P IY0 +HAPSBURG HH AE1 P S - B ER0 G +HAQ HH AE1 K +HAQ'S HH AE1 K S +HAQUE HH AE1 K +HARA HH EH1 - R AH0 +HARA-KIRI HH AA1 - R IH0 - K IH1 - R IY0 +HARADA HH AA0 - R AA1 - D AH0 +HARADIM HH AH0 - R AE1 - D IH2 M +HARADIM(2) HH AH0 - R AE2 - D IY1 M +HARAHAN HH AE1 - R AH0 - HH AE2 N +HARALD HH AA1 - R AH0 L D +HARALDA HH AA0 - R AA1 L - D AH0 +HARALSON HH AE1 - R AH0 L - S AH0 N +HARAN HH AE1 - R AH0 N +HARANGUE HH ER0 - AE1 NG +HARANGUED HH ER0 - AE1 NG D +HARANGUES HH ER0 - AE1 NG Z +HARANGUING HH ER0 - AE1 - NG IH0 NG +HARARE HH ER0 - AA1 - R IY0 +HARASS HH ER0 - AE1 S +HARASSED HH ER0 - AE1 S T +HARASSER HH ER0 - AE1 - S ER0 +HARASSERS HH ER0 - AE1 - S ER0 Z +HARASSING HH ER0 - AE1 - S IH0 NG +HARASSMENT HH ER0 - AE1 S - M AH0 N T +HARASZTI HH ER0 - AE1 - S T IY0 +HARAWAY HH AA1 - R AH0 - W EY0 +HARB HH AA1 R B +HARBACH HH AA1 R - B AA2 K +HARBAUGH HH AA1 R - B AO2 +HARBECK HH AA1 R - B EH2 K +HARBER HH AA1 R - B ER0 +HARBERT HH AA1 R - B ER0 T +HARBERTS HH AA1 R - B ER0 T S +HARBESON HH AA1 R - B IH0 - S AH0 N +HARBIN HH AA1 R - B IH0 N +HARBINGER HH AA1 R - B IH0 N - JH ER0 +HARBINGERS HH AA1 R - B IH0 NG - ER0 Z +HARBINSON HH AA1 R - B IH0 N - S AH0 N +HARBISON HH AA1 R - B IH0 - S AH0 N +HARBOLD HH AA1 R - B OW2 L D +HARBOR HH AA1 R - B ER0 +HARBOR'S HH AA1 R - B ER0 Z +HARBORED HH AA1 R - B ER0 D +HARBORING HH AA1 R - B ER0 - IH0 NG +HARBORS HH AA1 R - B ER0 Z +HARBORSIDE HH AA1 R - B ER0 - S AY2 D +HARBOUR HH AA1 R - B ER0 +HARBUCK HH AA1 R - B AH0 K +HARBURY HH AA1 R - B ER0 - IY0 +HARC HH AA1 R K +HARCLERODE HH AA1 R - K AH0 - L ER0 - OW0 D +HARCLERODE(2) HH AA1 R K - L ER0 - OW0 D +HARCOURT HH AA1 R - K AO2 R T +HARCOURT'S HH AA1 R - K ER0 T S +HARCROW HH AA1 R - K R OW0 +HARCUM HH AA1 R - K AH0 M +HARD HH AA1 R D +HARDACRE HH AA1 R - D EY2 - K ER0 +HARDAGE HH AA1 R - D IH0 JH +HARDART HH AA1 R - D AA2 R T +HARDAWAY HH AA1 R D - AH0 - W EY2 +HARDBACK HH AA1 R D - B AE2 K +HARDBALL HH AA1 R D - B AO2 L +HARDBOARD HH AA1 R D - B AO2 R D +HARDCASTLE HH AA1 R D - K AE2 - S AH0 L +HARDCORE HH AA1 R D - K AO1 R +HARDCOVER HH AA1 R D - K AH2 - V ER0 +HARDEBECK HH AA1 R D - B EH0 K +HARDEE HH AA1 R - D IY1 +HARDEE'S HH AA1 R - D IY1 Z +HARDEGREE HH AA0 R - D IH0 - G R IY1 +HARDEMAN HH AA1 R D - M AH0 N +HARDEN HH AA1 R - D AH0 N +HARDEN'S HH AA1 R - D AH0 N Z +HARDENBROOK HH AA1 R - D AH0 N - B R UH2 K +HARDENED HH AA1 R - D AH0 N D +HARDENER HH AA1 R - D AH0 N - ER0 +HARDENING HH AA1 R - D AH0 N - IH0 NG +HARDENING(2) HH AA1 R D - N IH0 NG +HARDENS HH AA1 R - D AH0 N Z +HARDER HH AA1 R - D ER0 +HARDERS HH AA1 R - D ER0 Z +HARDEST HH AA1 R - D AH0 S T +HARDESTY HH AA1 R - D AH0 - S T IY0 +HARDEY HH AA1 R - D IY0 +HARDGOOD HH AA1 R D - G UH2 D +HARDGOODS HH AA1 R D - G UH2 D Z +HARDGRAVE HH AA1 R D - G R EY2 V +HARDGROVE HH AA1 R D - G R OW2 V +HARDHEAD HH AA1 R D - HH EH2 D +HARDHEADED HH AA1 R D - HH EH2 - D IH0 D +HARDICK HH AA1 R - D IH0 K +HARDIE HH AA1 R - D IY0 +HARDIER HH AA1 R - D IY0 - ER0 +HARDIGREE HH AA0 R - D IH0 - G R IY1 +HARDIMAN HH AA1 R - D IH0 - M AH0 N +HARDIMON HH AA1 R - D IH0 - M AA0 N +HARDIN HH AA1 R - D IH0 N +HARDING HH AA1 R - D IH0 NG +HARDING'S HH AA1 R - D IH0 NG S +HARDINGER HH AA1 R - D IH0 - NG ER0 +HARDISON HH AA1 R - D IH0 S - AH0 N +HARDISTER HH AA1 R - D IH0 - S T ER0 +HARDISTY HH AA1 R - D IH0 - S T IY0 +HARDLINE HH AA1 R D - L AY2 N +HARDLINER HH AA1 R D - L AY2 - N ER0 +HARDLINERS HH AA1 R D - L AY2 - N ER0 Z +HARDLY HH AA1 R D - L IY0 +HARDMAN HH AA1 R D - M AH0 N +HARDNESS HH AA1 R D - N AH0 S +HARDNETT HH AA1 R D - N IH0 T +HARDPRESSED HH AA1 R D - P R EH2 S T +HARDRICK HH AA1 R D - R IH0 K +HARDS HH AA1 R D Z +HARDSCRABBLE HH AA1 R D - S K R AE2 - B AH0 L +HARDSHIP HH AA1 R D - SH IH0 P +HARDSHIPS HH AA1 R D - SH IH0 P S +HARDT HH AA1 R T +HARDTKE HH AA1 R D - K IY0 +HARDWARE HH AA1 R D - W EH2 R +HARDWAY HH AA1 R D - W EY2 +HARDWICK HH AA1 R D - W IH2 K +HARDWICKE HH AA1 R D - W IH0 K +HARDWIN HH AA1 R D - W IH0 N +HARDWOOD HH AA1 R D - W UH2 D +HARDWOODS HH AA1 R D - W UH2 D Z +HARDWORK HH AA1 R D - W ER2 K +HARDWORKING HH AA1 R D - W ER2 - K IH0 NG +HARDY HH AA1 R - D IY0 +HARDY'S HH AA1 R - D IY0 Z +HARDYMON HH AA1 R - D IY0 - M AA2 N +HARE HH EH1 R +HARE'S HH EH1 R Z +HAREBRAINED HH EH1 R - B R EY2 N D +HARELSON HH AE1 - R IH0 L - S AH0 N +HAREM HH EH1 - R AH0 M +HAREN HH EH1 - R AH0 N +HARER HH EH1 - R ER0 +HARES HH EH1 R Z +HAREWOOD HH EH1 R - W UH2 D +HARFF HH AA1 R F +HARFORD HH AA1 R - F ER0 D +HARGADON HH AA0 R - G AA0 - D AO1 N +HARGAN HH AA1 R - G AH0 N +HARGARTEN HH AA1 R - G AA0 R - T AH0 N +HARGENS HH AA1 R - G AH0 N Z +HARGER HH AA1 R - G ER0 +HARGETT HH AA1 R - JH IH0 T +HARGIS HH AA1 R - G IH0 S +HARGRAVE HH AA1 R - G R EY2 V +HARGRAVES HH AA1 R - G R EY2 V Z +HARGREAVES HH AA1 R - G R IY2 V Z +HARGROVE HH AA1 R - G R OW2 V +HARGUS HH AA1 R - G AH0 S +HARI HH AA1 - R IY0 +HARIG HH AE1 - R IH0 G +HARIMA HH EH0 - R IY1 - M AH0 +HARING HH EH1 - R IH0 NG +HARIRI HH ER0 - IH1 - R IY0 +HARIS HH AA1 - R IY0 S +HARIS(2) HH EH1 - R IH0 S +HARITOS HH EH0 - R IY1 - T OW0 S +HARIZ HH EH1 - R IH0 Z +HARJO HH AA1 R - JH OW0 +HARJU HH AA1 - R Y UW0 +HARK HH AA1 R K +HARKAVY HH AA1 R - K AH0 - V IY0 +HARKE HH AA1 R K +HARKEN HH AA1 R - K AH0 N +HARKER HH AA1 R - K ER0 +HARKEY HH AA1 R - K IY0 +HARKIN HH AA1 R - K IH0 N +HARKIN'S HH AA1 R - K IH0 N Z +HARKING HH AA1 R - K IH0 NG +HARKINS HH AA1 R - K IH0 N Z +HARKLEROAD HH AA1 R K - L ER0 - OW0 D +HARKLESS HH AA1 R K - L AH0 S +HARKNESS HH AA1 R K - N AH0 S +HARKRADER HH AA1 R - K R AH0 - D ER0 +HARKRIDER HH AA1 R K - R AY2 - D ER0 +HARKS HH AA1 R K S +HARL HH AA1 R L +HARLACHER HH AA1 R - L AH0 - K ER0 +HARLAN HH AA1 R - L AH0 N +HARLAND HH AA1 R - L AH0 N D +HARLE HH AA1 - R AH0 L +HARLEM HH AA1 R - L AH0 M +HARLEM'S HH AA1 R - L AH0 M Z +HARLEMAN HH AA1 - R AH0 L - M AH0 N +HARLEQUIN HH AA1 R - L AH0 - K W AH0 N +HARLESS HH AA1 R - L IH0 S +HARLEY HH AA1 R - L IY0 +HARLEY'S HH AA1 R - L IY0 Z +HARLEYSVILLE HH AA1 R - L IY0 Z - V IH2 L +HARLIN HH AA1 R - L IH0 N +HARLIN'S HH AA1 R - L IH0 N Z +HARLING HH AA1 R - L IH0 NG +HARLINGEN HH AA1 R - L IH0 - NG AH0 N +HARLISON HH AA1 R - L IH0 - S AH0 N +HARLOFF HH AA1 R - L AO0 F +HARLOT HH AA1 R - L AH0 T +HARLOW HH AA1 R - L OW0 +HARM HH AA1 R M +HARM'S HH AA1 R M Z +HARMAN HH AA1 R - M AH0 N +HARMATA HH AA0 R - M AA1 - T AH0 +HARMATTAN HH AA2 R - M AH0 - T AE1 N +HARMED HH AA1 R M D +HARMEL HH AA1 R - M AH0 L +HARMENING HH AA1 R - M AH0 - N IH0 NG +HARMER HH AA1 R - M ER0 +HARMES HH AA1 R M Z +HARMETZ HH AA1 R - M EH2 T S +HARMEYER HH AA1 R - M AY2 - ER0 +HARMFUL HH AA1 R M - F AH0 L +HARMFULNESS HH AA1 R M - F AH0 L - N AH0 S +HARMING HH AA1 R - M IH0 NG +HARMISON HH AA1 R - M IH0 - S AH0 N +HARMLESS HH AA1 R M - L AH0 S +HARMLESSLY HH AA1 R M - L AH0 S - L IY0 +HARMON HH AA1 R - M AH0 N +HARMON'S HH AA1 R - M AH0 N Z +HARMONIA HH AA0 R - M OW1 - N IY0 - AH0 +HARMONIC HH AA0 R - M AA1 - N IH0 K +HARMONICA HH AA0 R - M AA1 - N IH0 - K AH0 +HARMONICS HH AA0 R - M AA1 - N IH0 K S +HARMONIE HH AA1 R - M AH0 - N IY0 +HARMONIES HH AA1 R - M AH0 - N IY0 Z +HARMONIOUS HH AA0 R - M OW1 - N IY0 - AH0 S +HARMONIOUSLY HH AA0 R - M OW1 - N IY0 - AH0 S - L IY0 +HARMONIUM HH AA0 R - M OW1 - N IY0 - AH0 M +HARMONIZATION HH AA2 R - M AH0 - N IH0 - Z EY1 - SH AH0 N +HARMONIZE HH AA1 R - M AH0 - N AY2 Z +HARMONIZED HH AA1 R - M AH0 - N AY2 Z D +HARMONIZING HH AA1 R - M AH0 - N AY2 - Z IH0 NG +HARMONY HH AA1 R - M AH0 - N IY0 +HARMS HH AA1 R M Z +HARMSEN HH AA1 R M - S AH0 N +HARN HH AA1 R N +HARNACK HH AA1 R - N AH0 K +HARNAGE HH AA1 R - N IH0 JH +HARNDEN HH AA1 R N - D AH0 N +HARNE HH AA1 R N +HARNED HH AA1 R N D +HARNER HH AA1 R - N ER0 +HARNESS HH AA1 R - N AH0 S +HARNESS(2) HH AA1 R - N IH0 S +HARNESSED HH AA1 R - N AH0 S T +HARNESSES HH AA1 R - N AH0 - S AH0 Z +HARNESSES(2) HH AA1 R - N AH0 - S IH0 Z +HARNESSING HH AA1 R - N AH0 - S IH0 NG +HARNETT HH AA1 R - N IH0 T +HARNEY HH AA1 R - N IY0 +HARNISCH HH AA1 R - N IH0 SH +HARNISCHFEGER HH AA1 R - N IH0 SH - F EH2 - G ER0 +HARNISCHFEGER'S HH AA1 R - N IH0 SH - F EH2 - G ER0 Z +HARNISH HH AA1 R - N IH0 SH +HARNOIS HH AA0 R N - W AA1 +HARO HH AA1 - R OW0 +HAROLD HH EH1 - R AH0 L D +HAROLD'S HH EH1 - R AH0 L D Z +HAROLDSON HH AE1 - R OW0 L D - S AH0 N +HARP HH AA1 R P +HARPE HH AA1 R P +HARPED HH AA1 R P T +HARPEL HH AA0 R - P EH1 L +HARPENAU HH AA1 R - P IH0 - N OW0 +HARPER HH AA1 R - P ER0 +HARPER'S HH AA1 R - P ER0 Z +HARPERCOLLINS HH AA1 R - P ER0 - K AO1 - L IH0 N Z +HARPERS HH AA1 R - P ER0 Z +HARPHAM HH AA1 R - F AH0 M +HARPIN HH AA0 R - P AE1 N +HARPING HH AA1 R - P IH0 NG +HARPIST HH AA1 R - P IH0 S T +HARPISTS HH AA1 R - P IH0 S T S +HARPISTS(2) HH AA1 R - P IH0 S S +HARPISTS(3) HH AA1 R - P IH0 S +HARPLEY HH AA1 R P - L IY0 +HARPO HH AA1 R - P OW0 +HARPOLD HH AA1 R - P OW2 L D +HARPOLE HH AA1 R - P OW2 L +HARPOON HH AA0 R - P UW1 N +HARPOONS HH AA0 R - P UW1 N Z +HARPOOTLIAN HH AA0 R - P UW1 T - L IY0 - AH0 N +HARPS HH AA1 R P S +HARPSICHORD HH AA1 R P - S AH0 - K AO2 R D +HARPST HH AA1 R P S T +HARPSTER HH AA1 R P - S T ER0 +HARQUEBUS HH AA1 R - K W AH0 - B AH0 S +HARR HH AE1 R +HARRAH HH AE1 - R AH0 +HARRAH'S HH EH1 - R AH0 Z +HARRAL HH AE1 - R AH0 L +HARRALSON HH AE1 - R AH0 L - S AH0 N +HARRE HH AE1 R +HARREL HH AE1 - R AH0 L +HARRELD HH AE1 - R IH0 L D +HARRELL HH EH1 - R AH0 L +HARRELL'S HH AE1 - R AH0 L Z +HARRELSON HH EH1 - R IH0 L - S AH0 N +HARREN HH AE1 - R AH0 N +HARRER HH AA1 - R ER0 +HARRIED HH EH1 - R IY0 D +HARRIER HH EH1 - R IY0 - ER0 +HARRIES HH EH1 - R IY0 Z +HARRIET HH EH1 - R IY0 - AH0 T +HARRIETTE HH AE1 - R IY0 - EH0 T +HARRIGAN HH EH1 - R IH0 - G AH0 N +HARRIGER HH AE1 - R IH0 - G ER0 +HARRILL HH AE1 - R AH0 L +HARRIMAN HH EH1 - R IH0 - M AH0 N +HARRING HH AE1 - R IH0 NG +HARRINGTON HH EH1 - R IH0 NG - T AH0 N +HARRIOTT HH AE1 - R IY0 - AH0 T +HARRIS HH EH1 - R IH0 S +HARRIS' HH EH1 - R IH0 S +HARRIS'S HH EH1 - R IH0 - S IH0 Z +HARRISBURG HH AE1 - R IH0 S - B ER0 G +HARRISBURG'S HH AE1 - R IH0 S - B ER0 G Z +HARRISBURG'S(2) HH EH1 - R IH0 S - B ER0 G Z +HARRISBURG(2) HH EH1 - R IH0 S - B ER0 G +HARRISON HH EH1 - R IH0 - S AH0 N +HARRISON'S HH EH1 - R IH0 - S AH0 N Z +HARRISS HH AE1 - R IH0 S +HARRITY HH AE1 - R IH0 - T IY0 +HARROD HH EH1 - R AH0 D +HARROD'S HH EH1 - R AH0 D Z +HARRODS HH EH1 - R AH0 D Z +HARROLD HH EH1 - R AH0 L D +HARRON HH AE1 - R AH0 N +HARROP HH EH1 - R AH0 P +HARROUN HH ER0 - UW1 N +HARROW HH AE1 - R OW0 +HARROWER HH AE1 - R OW0 - W ER0 +HARROWING HH EH1 - R OW0 - IH0 NG +HARRY HH EH1 - R IY0 +HARRY'S HH EH1 - R IY0 Z +HARRYMAN HH AE1 - R IY0 - M AH0 N +HARSCH HH AA1 R SH +HARSCO HH AA1 R - S K OW0 +HARSH HH AA1 R SH +HARSHA HH AA1 R - SH AH0 +HARSHAM HH AA1 R - SH AH0 M +HARSHAW HH AA1 R - SH AO2 +HARSHBARGER HH AA1 R SH - B AA2 R - G ER0 +HARSHBERGER HH AA1 R SH - B ER0 - G ER0 +HARSHER HH AA1 R - SH ER0 +HARSHEST HH AA1 R - SH AH0 S T +HARSHFIELD HH AA1 R SH - F IY2 L D +HARSHLY HH AA1 R SH - L IY0 +HARSHMAN HH AA1 R SH - M AH0 N +HARSHNESS HH AA1 R SH - N AH0 S +HARSTAD HH AA1 R - S T AH0 D +HARSTON HH AA1 R - S T AH0 N +HART HH AA1 R T +HART'S HH AA1 R T S +HARTE HH AA1 R T +HARTEL HH AA1 R - T AH0 L +HARTELL HH AA1 R - T AH0 L +HARTEN HH AA1 R - T AH0 N +HARTENSTEIN HH AA1 R - T AH0 N - S T AY2 N +HARTENSTEIN(2) HH AA1 R - T AH0 N - S T IY2 N +HARTER HH AA1 R - T ER0 +HARTFIEL HH AA1 R T - F IY2 L +HARTFIELD HH AA1 R T - F IY2 L D +HARTFORD HH AA1 R T - F ER0 D +HARTFORD'S HH AA1 R T - F ER0 D Z +HARTGRAVES HH AA1 R T - G R EY2 V Z +HARTGROVE HH AA1 R T - G R OW2 V +HARTH HH AA1 R TH +HARTIG HH AA1 R - T IH0 G +HARTIGAN HH AA1 R - T IH0 - G AH0 N +HARTIN HH AA1 R - T IH0 N +HARTING HH AA1 R - T IH0 NG +HARTINGER HH AA1 R - T IH0 - NG ER0 +HARTIS HH AA1 R - T IH0 S +HARTJE HH AA1 R T - JH EY0 +HARTKE HH AA1 R T - K IY0 +HARTKOPF HH AA1 R T - K AO0 F +HARTL HH AA1 R - T AH0 L +HARTLAGE HH AA1 R T - L IH0 JH +HARTLAND HH AA1 R T - L AH0 N D +HARTLAUB HH AA1 R T - L AW2 B +HARTLE HH AA1 R - T AH0 L +HARTLESS HH AA1 R T - L AH0 S +HARTLEY HH AA1 R T - L IY0 +HARTLIEB HH AA1 R T - L IY2 B +HARTLINE HH AA1 R T - L AY2 N +HARTLING HH AA1 R T - L IH0 NG +HARTMAN HH AA1 R T - M AH0 N +HARTMANN HH AA1 R T - M AH0 N +HARTMARX HH AA1 R T - M AA2 R K S +HARTNELL HH AA1 R T - N AH0 L +HARTNER HH AA1 R T - N ER0 +HARTNESS HH AA1 R T - N AH0 S +HARTNETT HH AA1 R T - N IH0 T +HARTNEY HH AA1 R T - N IY0 +HARTOG HH AA1 R - T AH0 G +HARTON HH AA1 R - T AH0 N +HARTONG HH AA1 R - T AO0 NG +HARTRANFT HH AA1 R - T R AH2 N F T +HARTS HH AA1 R T S +HARTSELL HH AA1 R T - S AH0 L +HARTSFIELD HH AA1 R T S - F IY2 L D +HARTSHORN HH AA1 R T S - HH AO2 R N +HARTSHORNE HH AA1 R - CH ER0 N +HARTSOCK HH AA1 R T - S AH0 K +HARTSOE HH AA1 R T - S OW0 +HARTSON HH AA1 R T - S AH0 N +HARTSOOK HH AA1 R T - S UH0 K +HARTSOUGH HH AA1 R T - S AW0 +HARTSTEIN HH AA1 R T - S T AY2 N +HARTSTEIN(2) HH AA1 R T - S T IY2 N +HARTSVILLE HH AA1 R T - S V IH0 L +HARTT HH AA1 R T +HARTTER HH AA1 R - T ER0 +HARTUNG HH AA1 R - T AH0 NG +HARTWELL HH AA1 R T - W EH2 L +HARTWICK HH AA1 R T - W IH2 K +HARTWIG HH AA1 R T - W IH0 K +HARTWOOD HH AA1 R T - W UH2 D +HARTY HH AA1 R - T IY0 +HARTZ HH AA1 R T S +HARTZEL HH AA1 R T - Z AH0 L +HARTZELL HH AA1 R T - Z AH0 L +HARTZLER HH AA1 R T - S L ER0 +HARTZOG HH AA1 R T - Z AH0 G +HARUO HH AA0 - R UW1 - OW0 +HARV HH AA1 R V +HARVARD HH AA1 R - V ER0 D +HARVARD'S HH AA1 R - V ER0 D Z +HARVATH HH AA1 R - V AH0 TH +HARVE HH AA1 R V +HARVEL HH AA1 R - V AH0 L +HARVELL HH AA1 R - V AH0 L +HARVEST HH AA1 R - V AH0 S T +HARVESTABLE HH AA1 R - V AH0 - S T AH0 - B AH0 L +HARVESTED HH AA1 R - V AH0 - S T AH0 D +HARVESTED(2) HH AA1 R - V AH0 - S T IH0 D +HARVESTER HH AA1 R - V AH0 - S T ER0 +HARVESTERS HH AA1 R - V AH0 - S T ER0 Z +HARVESTING HH AA1 R - V AH0 - S T IH0 NG +HARVESTS HH AA1 R - V AH0 S T S +HARVESTS(2) HH AA1 R - V AH0 S S +HARVESTS(3) HH AA1 R - V AH0 S +HARVEY HH AA1 R - V IY0 +HARVEY'S HH AA1 R - V IY0 Z +HARVIE HH AA1 R - V IY0 +HARVILL HH AA1 R - V IH0 L +HARVILLE HH AA1 R - V IH2 L +HARVIN HH AA1 R - V IH0 N +HARVISON HH AA1 R - V IH0 - S AH0 N +HARWARD HH AA1 R - W ER0 D +HARWELL HH AA1 R - W EH2 L +HARWICK HH AA1 R - W IH0 K +HARWOOD HH AA1 R - W UH2 D +HARYANA HH EH0 R - Y AA1 - N AH0 +HAS HH AE1 Z +HAS(2) HH AH0 Z +HAS-BEEN HH AE1 Z - B IH2 N +HAS-BEENS HH AE1 Z - B IH2 N Z +HASAN HH EY1 - Z AH0 N +HASBRO HH AE1 Z - B R OW0 +HASBRO'S HH AE1 Z - B R OW2 Z +HASBROOK HH AE1 S - B R UH0 K +HASBROUCK HH AE1 Z - B R UH2 K +HASCALL HH AE1 S - K AH0 L +HASCH HH AE1 SH +HASCHKE HH AE1 SH K +HASE HH EY1 Z +HASEGAWA HH AA2 - S EY0 - G AA1 - W AH0 +HASEK HH AA1 - S EH0 K +HASELDEN HH AE1 - S IH0 L - D AH0 N +HASELEY HH AE1 - S IH0 - L IY0 +HASELHORST HH AE1 - S IH0 L - HH AO0 R S T +HASELTINE HH AE1 - S IH0 L - T IY0 N +HASELTON HH AH0 - S EH1 L - T AH0 N +HASEMAN HH EY1 S - M AH0 N +HASENAUER HH AE1 - S IH0 - N AW0 - ER0 +HASENFUS HH EY1 - Z AH0 N - F AH2 S +HASER HH EH1 - Z ER0 +HASH HH AE1 SH +HASHAGEN HH AE1 - SH AH0 - G AH0 N +HASHED HH AE1 SH T +HASHEM HH AE1 - SH IH0 M +HASHEMI HH AH0 - SH EY1 - M IY0 +HASHEMITE HH AE1 - SH AH0 - M AY2 T +HASHER HH AE1 - SH ER0 +HASHER'S HH AE1 - SH ER0 Z +HASHERS HH AE1 - SH ER0 Z +HASHES HH AE1 - SH AH0 Z +HASHI HH AE1 - SH IY0 +HASHIM HH AE1 - SH IH0 M +HASHIMOTO HH AA0 - SH IY0 - M OW1 - T OW0 +HASHING HH AE1 - SH IH0 NG +HASHISH HH AE1 - SH IH0 SH +HASHISH(2) HH AH0 - SH IY1 SH +HASHMAN HH AE1 SH - M AH0 N +HASHMI HH AE1 SH - M IY0 +HASHMI(2) HH AA1 SH - M IY0 +HASIDIC HH AH0 - S IH1 - D IH0 K +HASIDIC(2) HH AH0 - S IY1 - D IH0 K +HASIDIM HH AH0 - S IH1 - D IH0 M +HASIDIM(2) HH AH0 - S IY1 - D IH0 M +HASKE HH EY1 S K +HASKELL HH AE1 S - K AH0 L +HASKETT HH AE1 - S K IH0 T +HASKEW HH AE1 - S K Y UW0 +HASKIN HH AE1 - S K IH0 N +HASKINS HH AE1 - S K IH0 N Z +HASLAM HH AE1 - S L AH0 M +HASLER HH AE1 - S AH0 - L ER0 +HASLER(2) HH AE1 S - L ER0 +HASLETT HH AE1 S - L IH0 T +HASLEY HH AE1 Z - L IY0 +HASN'T HH AE1 - Z AH0 N T +HASO HH AA1 - S OW2 +HASO'S HH AA1 - S OW2 Z +HASPEL HH AE1 - S P AH0 L +HASS HH AE1 S +HASSAN HH AH0 - S AA1 N +HASSE HH AA1 S +HASSEBROCK HH AE1 - S IH0 - B R AA1 K +HASSEL HH AE1 - S AH0 L +HASSELBACH HH AE1 - S IH0 L - B AA0 K +HASSELBRING HH AE1 - S IH0 L - B R IH0 NG +HASSELL HH AE1 - S AH0 L +HASSELMAN HH AE1 - S AH0 L - M AH0 N +HASSEN HH AE1 - S AH0 N +HASSENBERG HH AE1 - S AH0 N - B ER0 G +HASSENFELD HH AE1 - S AH0 N - F EH2 L D +HASSETT HH AE1 - S IH0 T +HASSEY HH AE1 - S IY0 +HASSIG HH AE1 - S IH0 G +HASSING HH AE1 - S IH0 NG +HASSINGER HH AE1 - S IH0 N - JH ER0 +HASSLE HH AE1 - S AH0 L +HASSLED HH AE1 - S AH0 L D +HASSLER HH AE1 S - L ER0 +HASSLES HH AE1 - S AH0 L Z +HASSLING HH AE1 - S AH0 - L IH0 NG +HASSLING(2) HH AE1 - S L IH0 NG +HASSMAN HH AE1 S - M AH0 N +HASSON HH AE1 - S AH0 N +HAST HH AE1 S T +HASTA HH AE1 - S T AH0 +HASTA(2) AA1 - S T AH0 +HASTE HH EY1 S T +HASTEN HH EY1 - S AH0 N +HASTENED HH EY1 - S AH0 N D +HASTENING HH EY1 - S AH0 N - IH0 NG +HASTENING(2) HH EY1 S - N IH0 NG +HASTENS HH EY1 - S AH0 N Z +HASTERT HH AE1 - S T ER0 T +HASTEY HH EY1 - S T IY0 +HASTIE HH EY1 - S T IY0 +HASTILY HH EY1 - S T AH0 - L IY0 +HASTING HH EY1 - S T IH0 NG +HASTINGS HH EY1 - S T IH0 NG Z +HASTON HH AE1 - S T AH0 N +HASTY HH EY1 - S T IY0 +HASWELL HH AE1 - S W EH0 L +HASZ HH AA1 SH +HAT HH AE1 T +HAT'S HH AE1 T S +HATA HH AA1 - T AH0 +HATALA HH AE1 - T AH0 - L AH0 +HATAWAY HH AE1 T - AH0 - W EY2 +HATCH HH AE1 CH +HATCH'S HH AE1 - CH IH0 Z +HATCHBACK HH AE1 CH - B AE2 K +HATCHED HH AE1 CH T +HATCHEL HH AE1 - CH AH0 L +HATCHELL HH AE1 - CH AH0 L +HATCHER HH AE1 - CH ER0 +HATCHERIES HH AE1 - CH ER0 - IY0 Z +HATCHERY HH AE1 - CH ER0 - IY0 +HATCHES HH AE1 - CH IH0 Z +HATCHET HH AE1 - CH AH0 T +HATCHETS HH AE1 - CH AH0 T S +HATCHETT HH AE1 - CH IH0 T +HATCHING HH AE1 - CH IH0 NG +HATE HH EY1 T +HATED HH EY1 - T AH0 D +HATED(2) HH EY1 - T IH0 D +HATEFUL HH EY1 T - F AH0 L +HATEM HH AE1 - T IH0 M +HATER HH EY1 - T ER0 +HATERS HH EY1 - T ER0 Z +HATES HH EY1 T S +HATFIELD HH AE1 T - F IY2 L D +HATFIELD'S HH AE1 T - F IY2 L D Z +HATH HH AE1 TH +HATHAWAY HH AE1 TH - AH0 - W EY2 +HATHAWAY'S HH AE1 TH - AH0 - W EY2 Z +HATHCOAT HH AE1 TH - K OW2 T +HATHCOCK HH AE1 TH - K AH0 K +HATHEWAY HH EY1 DH - W EY0 +HATHORN HH AA1 - TH AO0 R N +HATHORNE HH AE1 - TH ER0 N +HATING HH EY1 - T IH0 NG +HATLER HH EY1 - T AH0 L - ER0 +HATLER(2) HH EY1 T - L ER0 +HATLESTAD HH AE1 - T AH0 L - S T AH0 D +HATLEY HH AE1 T - L IY0 +HATMAKER HH AE1 T - M EY2 - K ER0 +HATRED HH EY1 - T R AH0 D +HATREDS HH EY1 - T R AH0 D Z +HATS HH AE1 T S +HATT HH AE1 T +HATTABAUGH HH AE1 - T AH0 - B AO0 +HATTAN HH AE1 - T AH0 N +HATTAWAY HH AE1 T - AH0 - W EY0 +HATTEN HH AE1 - T AH0 N +HATTENDORF HH AE1 - T IH0 N - D AO0 R F +HATTER HH AE1 - T ER0 +HATTERAS HH AE1 - T ER0 - AH0 S +HATTERSLEY HH AE1 - T ER0 Z - L IY0 +HATTERY HH AE1 - T ER0 - IY0 +HATTIE HH AE1 - T IY0 +HATTON HH AE1 - T AH0 N +HATTORI HH AA0 - T AO1 - R IY0 +HATTUSAS HH AH0 - T UW1 - S AH0 S +HATTY HH AE1 - T IY0 +HATZ HH AE1 T S +HAU HH AW1 +HAUB HH AO1 B +HAUBER HH AW1 - B ER0 +HAUBERT HH AW1 - B ER0 T +HAUBNER HH AW1 B - N ER0 +HAUBRICH HH AW1 - B R IH0 K +HAUCH HH AO1 CH +HAUCK HH AO1 K +HAUENSTEIN HH AW1 - AH0 N - S T AY0 N +HAUENSTEIN(2) HH AW1 - AH0 N - S T IY0 N +HAUER HH AW1 - ER0 +HAUETER HH AW1 - T ER0 +HAUF HH AO1 F +HAUFER HH AO1 - F ER0 +HAUFF HH AO1 F +HAUG HH AO1 G +HAUGAN HH AO1 - G AH0 N +HAUGE HH AO1 JH +HAUGEN HH AW1 - G AH0 N +HAUGER HH AW1 - G ER0 +HAUGH HH AO1 +HAUGHEY HH AO1 - K IY0 +HAUGHN HH AO1 N +HAUGHT HH AO1 T +HAUGHTILY HH AO1 - T IH0 - L IY0 +HAUGHTON HH AO1 - T AH0 N +HAUGHTY HH AO1 - T IY0 +HAUGLAND HH AO1 G - L AH0 N D +HAUK HH AO1 K +HAUKE HH AO1 K +HAUL HH AO1 L +HAULED HH AO1 L D +HAULER HH AO1 - L ER0 +HAULERS HH AO1 - L ER0 Z +HAULING HH AO1 - L IH0 NG +HAULS HH AO1 L Z +HAULSEY HH AO1 L - S IY0 +HAUN HH AO1 N +HAUNT HH AO1 N T +HAUNTED HH AO1 N - T AH0 D +HAUNTED(2) HH AO1 N - T IH0 D +HAUNTING HH AO1 N - T IH0 NG +HAUNTINGLY HH AO1 N - T IH0 NG - L IY0 +HAUNTS HH AO1 N T S +HAUPERT HH AW1 - P ER0 T +HAUPPAUGE HH AW1 - P AO0 JH +HAUPT HH AO1 P T +HAUPTFUHRER HH AW1 P T - F Y UH2 - R ER0 +HAUPTMAN HH AW1 P T - M AH0 N +HAUPTMANN HH AW1 P T - M AH0 N +HAURY HH AO1 - R IY0 +HAUS HH AW1 S +HAUSA HH AW1 - S AH0 +HAUSAUER HH AW1 - S AW0 - ER0 +HAUSCH HH AW1 SH +HAUSCHILD HH AW1 S - CH AY2 L D +HAUSCHILDT HH AW1 - SH IH0 L T +HAUSE HH AW1 S +HAUSEN HH AW1 - Z AH0 N +HAUSER HH AW1 - Z ER0 +HAUSERMAN HH AW1 - Z ER0 - M AH0 N +HAUSFELD HH AW1 S - F EH2 L D +HAUSKY HH AO1 S - K IY0 +HAUSLER HH AW1 - S AH0 - L ER0 +HAUSLER(2) HH AW1 S - L ER0 +HAUSMAN HH AW1 S - M AH0 N +HAUSMANN HH AW1 S - M AH0 N +HAUSNER HH AW1 S - N ER0 +HAUSS HH AW1 S +HAUSSER HH AW1 - S ER0 +HAUSSLER HH AW1 - S AH0 - L ER0 +HAUSSLER(2) HH AW1 S - L ER0 +HAUSSMANN HH AW1 S - M AH0 N +HAUSUMMI HH AW0 - S UW1 - M IY0 +HAUSWIRTH HH AW1 S - W ER0 TH +HAUT HH AO1 T +HAUTALA HH AO1 - T AH0 - L AH0 +HAUTE HH OW1 T +HAUTE(2) HH AH1 T +HAUTER HH AW1 - T ER0 +HAUTH HH AO1 TH +HAUVER HH AW1 - V ER0 +HAVANA HH AH0 - V AE1 - N AH0 +HAVANA'S HH AH0 - V AE1 - N AH0 Z +HAVARD HH AE1 - V ER0 D +HAVAS HH AA1 - V AA0 Z +HAVE HH AE1 V +HAVEL HH AE1 - V AH0 L +HAVELKA HH AH0 - V EH1 L - K AH0 +HAVELOCK HH AE1 V - L AA2 K +HAVEMAN HH EY1 V - M AH0 N +HAVEMANN HH AE1 - V AH0 - M AH0 N +HAVEN HH EY1 - V AH0 N +HAVEN'T HH AE1 - V AH0 N T +HAVEN'T(2) HH AE1 - V AH0 N +HAVENER HH AE1 - V IY0 - N ER0 +HAVENS HH EY1 - V AH0 N Z +HAVER HH EH1 - V ER0 +HAVERFIELD HH AE1 - V ER0 - F IY2 L D +HAVERFORD HH AE1 - V ER0 - F ER0 D +HAVERKAMP HH AE1 - V ER0 - K AE2 M P +HAVERLAND HH AE1 - V ER0 - L AH0 N D +HAVERLY HH EY1 - V ER0 - L IY0 +HAVERSTICK HH EY1 - V ER0 - S T IH0 K +HAVERSTOCK HH EY1 - V ER0 - S T AA0 K +HAVERTY HH AE1 - V ER0 - T IY0 +HAVES HH AE1 V Z +HAVEY HH EY1 - V IY0 +HAVILAND HH EY1 - V IY0 - L AH0 N D +HAVILL HH AA0 - V IY1 L +HAVILLAND HH AE1 - V AH0 - L AH0 N D +HAVIN' HH AE1 - V IH0 N +HAVING HH AE1 - V IH0 NG +HAVINGTON HH AE1 - V IH0 NG - T AH0 N +HAVINGTON'S HH AE1 - V IH0 NG - T AH0 N Z +HAVINS HH AE1 - V IH0 N Z +HAVIS HH AE1 - V IH0 S +HAVLICEK HH AA1 V - L IH0 - CH EH0 K +HAVLIK HH AE1 V - L IH0 K +HAVLIN HH AE1 V - L IH0 N +HAVNER HH AE1 V - N ER0 +HAVOC HH AE1 - V AH0 K +HAVRAN HH AE1 - V R AH0 N +HAVRANEK HH AH0 V - R AE1 - N EH0 K +HAVRILLA HH AE2 - V R IH1 - L AH0 +HAVRON HH AE1 - V R AH0 N +HAW HH AO1 +HAWAII HH AH0 - W AY1 - IY2 +HAWAII'S HH AH0 - W AY1 - IY2 Z +HAWAIIAN HH AH0 - W AY1 - AH0 N +HAWAIIANS HH AH0 - W AY1 - AH0 N Z +HAWASS HH AE1 - W AA0 S +HAWBAKER HH AO1 - B EY2 - K ER0 +HAWE HH AO1 +HAWES HH AO1 Z +HAWING HH AO1 - IH0 NG +HAWK HH AO1 K +HAWKBILL HH AO1 K - B IH2 L +HAWKBILL'S HH AO1 K - B IH2 L Z +HAWKE HH AO1 K +HAWKE'S HH AO1 K S +HAWKED HH AO1 K T +HAWKEN HH AO1 - K AH0 N +HAWKER HH AO1 - K ER0 +HAWKERS HH AO1 - K ER0 Z +HAWKES HH AO1 K S +HAWKEY HH AO1 - K IY2 +HAWKEYE HH AO1 - K AY2 +HAWKEYE'S HH AO1 - K AY2 Z +HAWKINESS HH AO1 K - N AH0 S +HAWKING HH AO1 - K IH0 NG +HAWKINS HH AO1 - K IH0 N Z +HAWKINS' HH AO1 - K IH0 N Z +HAWKINSON HH AO1 - K IH0 N - S AH0 N +HAWKISH HH AO1 - K IH0 SH +HAWKS HH AO1 K S +HAWKSLEY HH AO1 K S - L IY0 +HAWLEY HH AO1 - L IY0 +HAWLEY'S HH AO1 - L IY0 Z +HAWN HH AO1 N +HAWORTH HH AE1 - W ER0 TH +HAWS HH AO1 Z +HAWTHORN HH AO1 - TH AO2 R N +HAWTHORNE HH AO1 - TH AO0 R N +HAWTHORNE'S HH AO1 - TH AO0 R N Z +HAWTHORNS HH AO1 - TH AO2 R N Z +HAWVER HH AO1 - V ER0 +HAXTON HH AE1 K - S T AH0 N +HAY HH EY1 +HAYASHI HH AA0 - Y AA1 - SH IY0 +HAYASHIDA HH AA0 Y - AA0 - SH IY1 - D AH0 +HAYCOCK HH EY1 - K AA2 K +HAYCRAFT HH EY1 - K R AE2 F T +HAYDEL HH EY1 - D AH0 L +HAYDEN HH EY1 - D AH0 N +HAYDN HH AY1 - D AH0 N +HAYDN'S HH AY1 - D AH0 N Z +HAYDOCK HH EY1 - D AA2 K +HAYDON HH EY1 - D AH0 N +HAYDU HH EY1 - D UW0 +HAYDUK HH EY1 - D AH0 K +HAYE HH EY1 +HAYEK HH EY1 - IH0 K +HAYEN HH EY1 - AH0 N +HAYENGA HH EY0 - EY1 NG - G AH0 +HAYER HH EY1 - ER0 +HAYES HH EY1 Z +HAYFIELD HH EY1 - F IY2 L D +HAYFIELDS HH EY1 - F IY2 L D Z +HAYFORD HH EY1 - F ER0 D +HAYGOOD HH EY1 - G UH2 D +HAYHURST HH EY1 - HH ER0 S T +HAYING HH EY1 - IH0 NG +HAYLES HH EY1 L Z +HAYLEY HH EY1 - L IY0 +HAYLOFT HH EY1 - L AO2 F T +HAYMAKER HH EY1 - M EY2 - K ER0 +HAYMAN HH EY1 - M AH0 N +HAYMARKET HH EY1 - M AA2 R - K IH0 T +HAYMES HH EY1 M Z +HAYMON HH EY1 - M AH0 N +HAYMOND HH EY1 - M AH0 N D +HAYMORE HH EY1 - M AO0 R +HAYN HH EY1 N +HAYNE HH EY1 N +HAYNER HH EY1 - N ER0 +HAYNES HH EY1 N Z +HAYNESWORTH HH EY1 N Z - W ER0 TH +HAYNIE HH EY1 - N IY0 +HAYNSWORTH HH EY1 N Z - W ER0 TH +HAYS HH EY1 Z +HAYSE HH EY1 Z +HAYSLETT HH EY1 S - L IH0 T +HAYSLIP HH EY1 S - L IH0 P +HAYSTACK HH EY1 - S T AE2 K +HAYTER HH EY1 - T ER0 +HAYTON HH EY1 - T AH0 N +HAYWARD HH EY1 - W ER0 D +HAYWARD'S HH EY1 - W ER0 D Z +HAYWIRE HH EY1 - W AY2 R +HAYWOOD HH EY1 - W UH2 D +HAYWORTH HH EY1 - W ER2 TH +HAZAN HH EY1 - Z AH0 N +HAZARD HH AE1 - Z ER0 D +HAZARDOUS HH AE1 - Z ER0 - D AH0 S +HAZARDS HH AE1 - Z ER0 D Z +HAZE HH EY1 Z +HAZEL HH EY1 - Z AH0 L +HAZELBAKER HH EY1 - Z AH0 L - B EY2 - K ER0 +HAZELETT HH AE1 - Z IH0 - L EH0 T +HAZELETT(2) HH AE1 Z - L EH0 T +HAZELIP HH AE1 - Z IH0 - L IH0 P +HAZELL HH AE1 - Z AH0 L +HAZELNUT HH EY1 - Z AH0 L - N AH2 T +HAZELRIGG HH AH0 - Z EH1 L - R IH0 G +HAZELRIGG(2) HH EY1 - Z EH0 L - R IH0 G +HAZELTINE HH EY1 - Z AH0 L - T AY2 N +HAZELTON HH EY1 - Z AH0 L - T AH0 N +HAZELWOOD HH EY1 - Z AH0 L - W UH2 D +HAZELWOOD'S HH EY1 - Z AH0 L - W UH2 D Z +HAZEN HH EY1 - Z AH0 N +HAZING HH EY1 - Z IH0 NG +HAZLE HH EY1 - Z AH0 L +HAZLETON HH EY1 - Z AH0 L - T AH0 N +HAZLETT HH AE1 Z - L IH0 T +HAZLEWOOD HH EY1 - Z AH0 L - W UH2 D +HAZY HH EY1 - Z IY0 +HAZZARD HH AE1 - Z ER0 D +HBOX EY1 CH - B AO1 K S +HCES EY1 CH - S IY1 - IY1 - EH1 S +HE HH IY1 +HE'D HH IY1 D +HE'LL HH IY1 L +HE'S HH IY1 Z +HEABERLIN HH IY1 - B ER0 - L IH0 N +HEACOCK HH IY1 - K AH0 K +HEACOX HH IY1 - K AA0 K S +HEAD HH EH1 D +HEAD'S HH EH1 D Z +HEADACHE HH EH1 D - EY2 K +HEADACHES HH EH1 D - EY2 K S +HEADBAND HH EH1 D - B AE2 N D +HEADBANDS HH EH1 D - B AE2 N D Z +HEADBOARD HH EH1 D - B AO2 R D +HEADCHEESE HH EH1 D - CH IY2 Z +HEADCOUNT HH EH1 D - K AW2 N T +HEADDRESS HH EH1 D - R EH2 S +HEADDRESSES HH EH1 D - D R EH2 - S AH0 Z +HEADED HH EH1 - D AH0 D +HEADED(2) HH EH1 - D IH0 D +HEADEN HH EH1 - D AH0 N +HEADER HH EH1 - D ER0 +HEADFIRST HH EH1 D - F ER1 S T +HEADGEAR HH EH1 D - G IH2 R +HEADHUNTER HH EH1 D - HH AH2 N - T ER0 +HEADHUNTERS HH EH1 D - HH AH2 N - T ER0 Z +HEADING HH EH1 - D IH0 NG +HEADINGS HH EH1 - D IH0 NG Z +HEADINGTON HH EH1 - D IH0 NG - T AH0 N +HEADLEE HH EH1 D - L IY2 +HEADLESS HH EH1 D - L AH0 S +HEADLEY HH EH1 D - L IY0 +HEADLIGHT HH EH1 D - L AY2 T +HEADLIGHTS HH EH1 D - L AY2 T S +HEADLINE HH EH1 D - L AY2 N +HEADLINED HH EH1 D - L AY2 N D +HEADLINER HH EH1 D - L AY2 - N ER0 +HEADLINES HH EH1 D - L AY2 N Z +HEADLINING HH EH1 D - L AY2 - N IH0 NG +HEADLONG HH EH1 D - L AO2 NG +HEADLUND HH EH1 D - L AH0 N D +HEADMAN HH EH1 D - M AH0 N +HEADMASTER HH EH1 D - M AE1 - S T ER0 +HEADMISTRESS HH EH1 D - M IH2 - S T R AH0 S +HEADPHONE HH EH1 D - F OW2 N +HEADPHONES HH EH1 D - F OW2 N Z +HEADQUARTER HH EH1 D - K W AO2 R - T ER0 +HEADQUARTER(2) HH EH1 D - K AO2 R - T ER0 +HEADQUARTERED HH EH1 D - K AO2 R - T ER0 D +HEADQUARTERED(2) HH EH1 D - K W AO2 R - T ER0 D +HEADQUARTERS HH EH1 D - K W AO2 R - T ER0 Z +HEADQUARTERS(2) HH EH1 D - K AO2 R - T ER0 Z +HEADREST HH EH1 D - R EH2 S T +HEADRESTS HH EH1 D - R EH2 S T S +HEADRESTS(2) HH EH1 D - R EH2 S S +HEADRESTS(3) HH EH1 D - R EH2 S +HEADRICK HH EH1 D - R IH0 K +HEADROOM HH EH1 D - R UW2 M +HEADS HH EH1 D Z +HEADSET HH EH1 D - S EH2 T +HEADSETS HH EH1 D - S EH2 T S +HEADSHIP HH EH1 D - SH IH2 P +HEADSMAN HH EH1 D Z - M AH0 N +HEADSTART HH EH1 D - S T AA2 R T +HEADSTARTS HH EH1 D - S T AA2 R T S +HEADSTONE HH EH1 D - S T OW2 N +HEADSTONES HH EH1 D - S T OW2 N Z +HEADSTRONG HH EH1 D - S T R AO2 NG +HEADWATER HH EH1 D - W AO2 - T ER0 +HEADWATERS HH EH1 D - W AO2 - T ER0 Z +HEADWAY HH EH1 D - W EY2 +HEADWIND HH EH1 D - W IH2 N D +HEADY HH EH1 - D IY0 +HEAFNER HH IY1 F - N ER0 +HEAGLE HH IY1 - G AH0 L +HEAGNEY HH IY1 G - N IY0 +HEAGY HH IY1 - JH IY0 +HEAL HH IY1 L +HEALD HH IY1 L D +HEALED HH IY1 L D +HEALER HH IY1 - L ER0 +HEALERS HH IY1 - L ER0 Z +HEALEY HH IY1 - L IY0 +HEALING HH IY1 - L IH0 NG +HEALS HH IY1 L Z +HEALTH HH EH1 L TH +HEALTH'S HH EH1 L TH S +HEALTHAMERICA HH IY2 L - TH AH0 - M EH1 - R IH0 - K AH0 +HEALTHCARE HH EH1 L TH - K EH2 R +HEALTHCARE'S HH EH1 L TH - K EH2 R Z +HEALTHCORP HH EH1 L TH - K AO2 R P +HEALTHCORP(2) HH EH1 L TH - K AO2 R +HEALTHDYNE HH EH1 L TH - D AY2 N +HEALTHFUL HH EH1 L TH - F AH0 L +HEALTHIER HH EH1 L - TH IY0 - ER0 +HEALTHIEST HH EH1 L - TH IY0 - IH0 S T +HEALTHSOURCE HH EH1 L TH - S AO2 R S +HEALTHSOUTH HH EH1 L TH - S AW2 TH +HEALTHTRUST HH EH1 L TH - T R AH2 S T +HEALTHTRUST'S HH EH1 L TH - T R AH2 S T S +HEALTHVEST HH EH1 L TH - V EH2 S T +HEALTHWEEK HH EH1 L TH - W IY2 K +HEALTHWORK HH EH1 L TH - W ER0 K +HEALTHWORKS HH EH1 L TH - W ER0 K S +HEALTHY HH EH1 L - TH IY0 +HEALY HH IY1 - L IY0 +HEALY'S HH IY1 - L IY0 Z +HEANEY HH IY1 - N IY0 +HEAP HH IY1 P +HEAPE HH IY1 P +HEAPED HH IY1 P T +HEAPHY HH IY1 - F IY0 +HEAPING HH IY1 - P IH0 NG +HEAPS HH IY1 P S +HEAR HH IH1 R +HEARD HH ER1 D +HEARER HH IH1 - R ER0 +HEARERS HH IH1 - R ER0 Z +HEARIN HH IH1 - R IH0 N +HEARING HH IH1 - R IH0 NG +HEARING'S HH IH1 - R IH0 NG Z +HEARINGS HH IH1 - R IH0 NG Z +HEARL HH ER1 L +HEARN HH ER1 N +HEARNE HH ER1 N +HEARNS HH ER1 N Z +HEARON HH IH1 - R AH0 N +HEARRON HH AO1 - R AH0 N +HEARS HH IH1 R Z +HEARSAY HH IH1 R - S EY2 +HEARSE HH ER1 S +HEARST HH ER1 S T +HEARST'S HH ER1 S T S +HEART HH AA1 R T +HEART'S HH AA1 R T S +HEARTACHE HH AA1 R - T EY2 K +HEARTBEAT HH AA1 R T - B IY2 T +HEARTBEATS HH AA1 R T - B IY2 T S +HEARTBREAK HH AA1 R T - B R EY2 K +HEARTBREAKING HH AA1 R T - B R EY2 - K IH0 NG +HEARTBROKEN HH AA1 R T - B R OW2 - K AH0 N +HEARTBURN HH AA1 R T - B ER2 N +HEARTED HH AA1 R - T AH0 D +HEARTED(2) HH AA1 R - T IH0 D +HEARTEDLY HH AA1 R - T IH0 D - L IY0 +HEARTEN HH AA1 R - T AH0 N +HEARTENED HH AA1 R - T AH0 N D +HEARTENING HH AA1 R - T AH0 N - IH0 NG +HEARTENING(2) HH AA1 R T - N IH0 NG +HEARTFELT HH AA1 R T - F EH2 L T +HEARTH HH AA1 R TH +HEARTHS HH AA1 R TH S +HEARTILY HH AA1 R - T AH0 - L IY0 +HEARTLAND HH AA1 R T - L AE2 N D +HEARTLESS HH AA1 R T - L AH0 S +HEARTS HH AA1 R T S +HEARTSCAN HH AA1 R T - S K AE2 N +HEARTTHROB HH AA1 R T - TH R AA2 B +HEARTWARMING HH AA1 R T - W AO2 R - M IH0 NG +HEARTWISE HH AA1 R T - W AY2 Z +HEARTWOOD HH AA1 R T - W UH2 D +HEARTY HH AA1 R - T IY0 +HEASLEY HH IY1 Z - L IY0 +HEASLIP HH IY1 S - L IH0 P +HEASTON HH IY1 - S T AH0 N +HEAT HH IY1 T +HEAT'S HH IY1 T S +HEATED HH IY1 - T AH0 D +HEATED(2) HH IY1 - T IH0 D +HEATEDLY HH IY1 - T IH0 D - L IY0 +HEATER HH IY1 - T ER0 +HEATERS HH IY1 - T ER0 Z +HEATH HH IY1 TH +HEATH'S HH IY1 TH S +HEATHCLIFF HH EH1 TH K - L IH0 F +HEATHCOCK HH EH1 TH - K AH0 K +HEATHCOTE HH EH1 TH - K AH0 T +HEATHEN HH IY1 - DH AH0 N +HEATHER HH EH1 - DH ER0 +HEATHER'S HH EH1 - DH ER0 Z +HEATHERINGTON HH EH1 - DH ER0 - IH0 NG - T AH0 N +HEATHERLY HH EH1 - DH ER0 - L IY0 +HEATHERS HH EH1 - DH ER0 Z +HEATHMAN HH IY1 TH - M AH0 N +HEATHROW HH IY1 - TH R OW0 +HEATHWOOD HH IY1 TH - W UH2 D +HEATING HH IY1 - T IH0 NG +HEATLEY HH IY1 T - L IY0 +HEATON HH IY1 - T AH0 N +HEATS HH IY1 T S +HEATWOLE HH IY1 T - W OW2 L +HEAVE HH IY1 V +HEAVED HH IY1 V D +HEAVEN HH EH1 - V AH0 N +HEAVEN'S HH EH1 - V AH0 N Z +HEAVENER HH EH1 - V AH0 - N ER0 +HEAVENLY HH EH1 - V AH0 N - L IY0 +HEAVENS HH EH1 - V AH0 N Z +HEAVES HH IY1 V Z +HEAVEY HH IY1 - V IY0 +HEAVIER HH EH1 - V IY0 - ER0 +HEAVIES HH EH1 - V IY0 Z +HEAVIEST HH EH1 - V IY0 - AH0 S T +HEAVILY HH EH1 - V AH0 - L IY0 +HEAVIN HH EH1 - V IH0 N +HEAVING HH IY1 - V IH0 NG +HEAVNER HH IY1 V - N ER0 +HEAVRIN HH IY1 - V R IH0 N +HEAVY HH EH1 - V IY0 +HEAVYHANDED HH EH1 - V IY0 - HH AE2 N - D IH0 D +HEAVYSET HH EH1 - V IY0 - S EH2 T +HEAVYWEIGHT HH EH1 - V IY0 - W EY2 T +HEAVYWEIGHTS HH EH1 - V IY0 - W EY2 T S +HEBARD HH EH1 - B ER0 D +HEBB HH EH1 B +HEBDA HH EH1 B - D AH0 +HEBDING HH EH1 B - D IH0 NG +HEBE HH IY1 B +HEBEL HH EH1 - B AH0 L +HEBELER HH EH1 - B AH0 - L ER0 +HEBENSTREIT HH EH1 - B IH0 N - S T R AY0 T +HEBER HH IY1 - B ER0 +HEBERER HH EH1 - B ER0 - ER0 +HEBERLE HH EH1 - B ER0 - AH0 L +HEBERLEIN HH EH1 - B ER0 - L AY2 N +HEBERLING HH EH1 - B ER0 - L IH0 NG +HEBERT HH EH1 - B ER0 T +HEBNER HH EH1 B - N ER0 +HEBREW HH IY1 - B R UW0 +HEBRIDES HH EH1 - B R IH0 - D IY0 Z +HEBRON HH EH1 - B R AH0 N +HEBRON(2) HH EH1 - B R AO2 N +HECCO HH EH1 - K OW0 +HECHINGER HH EH1 - K IH0 N - JH ER0 +HECHLER HH EH1 - K L ER0 +HECHT HH EH1 K T +HECHT'S HH EH1 K T S +HECHTMAN HH EH1 K T - M AH0 N +HECK HH EH1 K +HECK'S HH EH1 K S +HECKAMAN HH EH1 - K AH0 - M AH0 N +HECKARD HH EH1 - K ER0 D +HECKART HH EH1 - K ER0 T +HECKATHORN HH EH1 - K AH0 - TH ER0 N +HECKBERT HH EH1 K - B ER0 T +HECKEL HH EH1 - K AH0 L +HECKENDORN HH EH1 - K EH0 N - D AO0 R N +HECKER HH EH1 - K ER0 +HECKERT HH EH1 - K ER0 T +HECKLE HH EH1 - K AH0 L +HECKLED HH EH1 - K AH0 L D +HECKLER HH EH1 - K L ER0 +HECKLERS HH EH1 - K L ER0 Z +HECKLING HH EH1 - K L IH0 NG +HECKMAN HH EH1 K - M AH0 N +HECKMANN HH EH1 K - M AH0 N +HECKUVA HH EH0 - K Y UW1 - V AH0 +HECKUVA(2) HH EH1 - K AH0 - V AH0 +HECLA HH EH1 - K L AH0 +HECLA'S HH EH1 - K L AH0 Z +HECOX HH EH1 - K AA0 K S +HECTARE HH EH1 K - T AA2 R +HECTARES HH EH1 K - T AA2 R Z +HECTIC HH EH1 K - T IH0 K +HECTOGRAPH HH EH1 K - T AH0 - G R AE2 F +HECTOR HH EH1 K - T ER0 +HECTOR'S HH EH1 K - T ER0 Z +HECTORING HH EH1 K - T ER0 - IH0 NG +HECUBA HH EH1 - K Y AH0 - B AH0 +HECUBA(2) HH EH1 - K Y UW0 - B AH0 +HEDA HH EY1 - D AH0 +HEDBERG HH EH1 D - B ER0 G +HEDDA HH EH1 - D AH0 +HEDDEN HH EH1 - D AH0 N +HEDDING HH EH1 - D IH0 NG +HEDDY HH EH1 - D IY0 +HEDEEN HH EH1 - D IY0 N +HEDGE HH EH1 JH +HEDGECOCK HH EH1 JH - K AA2 K +HEDGED HH EH1 JH D +HEDGEHOG HH EH1 JH - HH AA2 G +HEDGEHOGS HH EH1 JH - HH AA2 G Z +HEDGEPATH HH EH1 JH - P AE2 TH +HEDGEPETH HH EH1 - JH IH0 - P EH0 TH +HEDGER HH EH1 - JH ER0 +HEDGERS HH EH1 - JH ER0 Z +HEDGES HH EH1 - JH IH0 Z +HEDGING HH EH1 - JH IH0 NG +HEDGLIN HH EH1 JH - L IH0 N +HEDGPETH HH EH1 JH - P IH0 TH +HEDI HH EH1 - D IY0 +HEDIGER HH EH1 - D IH0 - G ER0 +HEDIN HH EH1 - D IH0 N +HEDINGER HH EH1 - D IH0 N - G ER0 +HEDINGER(2) HH EH1 - D IH0 N - JH ER0 +HEDLEY HH EH1 D - L IY0 +HEDLUND HH EH1 D - L AH0 N D +HEDMAN HH EH1 D - M AH0 N +HEDONIC HH AH0 - D AA1 - N IH0 K +HEDONISM HH IY1 - D AH0 - N IH2 - Z AH0 M +HEDONISTIC HH IY2 - D AH0 - N IH1 - S T IH0 K +HEDQUIST HH EH1 D - K W IH2 S T +HEDRICH HH EH1 D - R IH0 K +HEDRICK HH EH1 D - R IH0 K +HEDSTROM HH EH1 D - S T R AH0 M +HEDTKE HH EH1 D - K IY0 +HEDWIG HH EH1 D - W IH0 G +HEDWIGA HH EH1 D - W IH0 - G AH0 +HEDY HH IY1 - D IY0 +HEE HH IY1 +HEEB HH IY1 B +HEEBNER HH IY1 B - N ER0 +HEED HH IY1 D +HEEDED HH IY1 - D AH0 D +HEEDED(2) HH IY1 - D IH0 D +HEEDING HH IY1 - D IH0 NG +HEEDS HH IY1 D Z +HEEFNER HH IY1 F - N ER0 +HEEG HH IY1 G +HEEKE HH IY1 K +HEEKIN HH IY1 - K IH0 N +HEEL HH IY1 L +HEELAN HH IY1 - L AH0 N +HEELED HH IY1 L D +HEELS HH IY1 L Z +HEEMSTRA HH IY1 M - S T R AH0 +HEENAN HH IY1 - N AH0 N +HEENEY HH IY1 - N IY0 +HEER HH IY1 - ER0 +HEEREN HH IH1 - R AH0 N +HEERMANN HH IH1 R - M AH0 N +HEES HH IY1 Z +HEESCH HH IY1 SH +HEESE HH IY1 Z +HEETER HH IY1 - T ER0 +HEFEI HH AH0 - F EY1 +HEFFEL HH EH1 - F AH0 L +HEFFELFINGER HH EH1 - F IH0 L - F IH0 - NG ER0 +HEFFERAN HH EH1 - F ER0 - AH0 N +HEFFERMAN HH EH1 - F ER0 - M AH0 N +HEFFERN HH EH1 - F ER0 N +HEFFERNAN HH EH1 - F ER0 - N AH0 N +HEFFERON HH EH1 - F ER0 - AH0 N +HEFFINGTON HH EH1 - F IH0 NG - T AH0 N +HEFFLER HH EH1 F - L ER0 +HEFFLEY HH EH1 F - L IY0 +HEFFNER HH EH1 F - N ER0 +HEFFRON HH EH1 - F R AH0 N +HEFLER HH EH1 F - L ER0 +HEFLEY HH EH1 F - L IY0 +HEFLIN HH EH1 - F L IH0 N +HEFNER HH EH1 F - N ER0 +HEFNER'S HH EH1 F - N ER0 Z +HEFT HH EH1 F T +HEFTER HH EH1 F - T ER0 +HEFTI HH EH1 F - T IY0 +HEFTIER HH EH1 F - T IY0 - ER0 +HEFTIEST HH EH1 F - T IY0 - AH0 S T +HEFTY HH EH1 F - T IY0 +HEGADORN HH EH1 - G AH0 - D AO2 R N +HEGARTY HH EH1 - G AA0 R - T IY0 +HEGE HH IY1 JH +HEGEDUS HH EH1 - G IH0 - D IH0 S +HEGEL HH EH1 - G AH0 L +HEGELIAN HH IY0 - JH IY1 - L IY0 - AH0 N +HEGEMAN HH IY1 G - M AH0 N +HEGEMONIC HH EH2 - G AH0 - M AA1 - N IH0 K +HEGEMONY HH IY0 - JH EH1 - M AH0 - N IY0 +HEGENNA HH EH0 - G EH1 - N AH0 +HEGER HH IY1 - G ER0 +HEGG HH EH1 G +HEGGE HH EH1 G +HEGGEN HH EH1 - G AH0 N +HEGGIE HH EH1 - G IY0 +HEGLAND HH EH1 G - L AH0 N D +HEGLER HH EH1 G - L ER0 +HEGLUND HH EH1 G - L AH0 N D +HEGNA HH EH1 G - N AH0 +HEGNER HH EH1 G - N ER0 +HEGSTROM HH EH1 G - S T R AH0 M +HEGWOOD HH EH1 G - W UH2 D +HEGYI HH EY1 - G Y IY0 +HEH HH EH1 +HEHIR HH EH1 - HH IH0 R +HEHL HH EH1 L +HEHMAN HH EH1 - M AH0 N +HEHMEYER HH EH1 - M AY2 R +HEHN HH EH1 N +HEHR HH EH1 R +HEIBEL HH AY1 - B AH0 L +HEIBERG HH AY1 - B ER0 G +HEIBERGER HH AY1 - B ER0 - G ER0 +HEICHEL HH AY1 - K AH0 L +HEICHELBECH HH AY1 - K IH0 L - B IH0 K +HEICK HH AY1 K +HEICO HH AY1 - K OW0 +HEICO'S HH AY1 - K OW0 Z +HEID HH AY1 D +HEIDBREDER HH AY1 D - B R IH0 - D ER0 +HEIDBRINK HH AY1 D - B R IH0 NG K +HEIDE HH AY1 D +HEIDECKER HH AY1 - D IH0 - K ER0 +HEIDEL HH AY1 - D AH0 L +HEIDELBERG HH AY1 - D AH0 L - B ER0 G +HEIDELBERGER HH AY1 - D AH0 L - B ER0 - G ER0 +HEIDEMAN HH AY1 D - M AH0 N +HEIDEMANN HH AY1 D - M AH0 N +HEIDEN HH AY1 - D AH0 N +HEIDENREICH HH AY1 - D IH0 N - R AY0 K +HEIDER HH AY1 - D ER0 +HEIDI HH AY1 - D IY0 +HEIDI'S HH AY1 - D IY0 S +HEIDINGER HH AY1 - D IH0 - NG ER0 +HEIDIWEAR HH AY1 - D IY0 - W EH0 R +HEIDLER HH AY1 - D AH0 - L ER0 +HEIDLER(2) HH AY1 D - L ER0 +HEIDORN HH AY1 - D ER0 N +HEIDRICH HH AY1 - D R IH0 K +HEIDRICK HH AY1 - D R IH0 K +HEIDSTRA HH AY1 D - S T R AH0 +HEIDT HH AY1 D T +HEIER HH AY1 - ER0 +HEIFER HH AY1 - F ER0 +HEIFER(2) HH EH1 - F ER0 +HEIFERS HH EH1 - F ER0 Z +HEIFERS(2) HH AY1 - F ER0 Z +HEIFETZ HH AY1 - F IH0 T S +HEIFNER HH IY1 F - N ER0 +HEIGES HH AY1 - JH IH0 Z +HEIGHT HH AY1 T +HEIGHTEN HH AY1 - T AH0 N +HEIGHTENED HH AY1 - T AH0 N D +HEIGHTENING HH AY1 - T AH0 N - IH0 NG +HEIGHTENING(2) HH AY1 T - N IH0 NG +HEIGHTENS HH AY1 - T AH0 N Z +HEIGHTH HH AY1 TH +HEIGHTS HH AY1 T S +HEIGL HH AY1 - G AH0 L +HEIKEN HH AY1 - K AH0 N +HEIKES HH AY1 - K AH0 Z +HEIKKILA HH AY1 - K IH0 - L AH0 +HEIKKINEN HH AY1 - K IH0 - N AH0 N +HEIKO HH AY1 - K OW0 +HEIKO(2) HH EY1 - K OW0 +HEIL HH AY1 L +HEILAND HH AY1 - L AH0 N D +HEILBRUN HH AY1 L - B R AH0 N +HEILEMAN HH AY1 L - M AH0 N +HEILEMAN'S HH AY1 L - M AH0 N Z +HEILER HH AY1 - L ER0 +HEILIG HH AY1 - L IH0 G +HEILMAN HH AY1 L - M AH0 N +HEILMANN HH AY1 L - M AH0 N +HEIM HH AY1 M +HEIMAN HH AY1 - M AH0 N +HEIMANN HH AY1 - M AH0 N +HEIMBACH HH AY1 M - B AA2 K +HEIMBERGER HH AY1 M - B ER0 - G ER0 +HEIMBIGNER HH AY1 M - B AY0 G - N ER0 +HEIMBUCH HH AY1 M - B AH0 K +HEIMBURGER HH AY1 M - B ER0 - G ER0 +HEIMER HH AY1 - M ER0 +HEIMERL HH AY1 - M ER0 L +HEIMLICH HH AY1 M - L IH0 K +HEIMS HH AY1 M Z +HEIMSOTH HH AY1 M - S AH0 TH +HEIN HH AY1 N +HEINBACH HH AY1 N - B AA2 K +HEINBAUGH HH AY1 N - B AW0 +HEINBURGER HH AY1 N - B ER0 - G ER0 +HEINDEL HH AY1 N - D AH0 L +HEINDL HH AY1 N - D AH0 L +HEINE HH AY1 N +HEINECKE HH AY1 - N IH0 K +HEINEKEN HH AY1 - N AH0 - K AH0 N +HEINEMAN HH AY1 N - M AH0 N +HEINEMANN HH AY1 N - M AH0 N +HEINEN HH AY1 - N AH0 N +HEINER HH AY1 - N ER0 +HEINES HH AY1 N Z +HEINEY HH AY1 - N IY0 +HEINI HH AY1 - N IY0 +HEINICKE HH AY1 - N IH0 K +HEINIG HH AY1 - N IH0 G +HEININGER HH AY1 - N IH0 - NG ER0 +HEINISCH HH AY1 - N IH0 SH +HEINKE HH AY1 NG K +HEINKEL HH AY1 NG - K AH0 L +HEINL HH AY1 - N AH0 L +HEINLE HH AY1 - N AH0 L +HEINLEIN HH AY1 N - L AY2 N +HEINLEN HH AY1 - N AH0 - L AH0 N +HEINLY HH AY1 N - L IY0 +HEINO HH AY1 - N OW0 +HEINOLD HH AY1 - N OW0 L D +HEINONEN HH AY1 - N AH0 - N AH0 N +HEINOUS HH EY1 - N AH0 S +HEINRICH HH AY1 - N R IH0 K +HEINRICHS HH AY1 - N R IH0 K S +HEINS HH AY1 N Z +HEINSOHN HH AY1 N - S AH0 N +HEINTZ HH AY1 N T S +HEINTZE HH AY1 N T S +HEINTZELMAN HH AY1 N T - Z AH0 L - M AH0 N +HEINTZMAN HH AY1 N T S - M AH0 N +HEINY HH AY1 - N IY0 +HEINZ HH AY1 N Z +HEINZ'S HH AY1 N - Z IH0 Z +HEINZE HH AY1 N Z +HEINZEL HH AY1 N - Z AH0 L +HEINZELMAN HH AY1 N - Z AH0 L - M AH0 N +HEINZEN HH AY1 N - Z AH0 N +HEINZMAN HH AY1 N Z - M AH0 N +HEINZMANN HH AY1 N Z - M AH0 N +HEIPLE HH AY1 - P AH0 L +HEIR EH1 R +HEIRESS EH1 - R AH0 S +HEIRLOOM EH1 R - L UW2 M +HEIRLOOMS EH1 R - L UW2 M Z +HEIRONIMUS EH1 - R AA0 - N IH0 - M UW0 S +HEIRONIMUS(2) HH AY0 - R AA1 - N IH0 - M AH0 S +HEIRS EH1 R Z +HEISBOURG HH AY1 S - B AO2 R G +HEISE HH AY1 S +HEISEL HH AY1 - S AH0 L +HEISER HH AY1 - S ER0 +HEISERMAN HH AY1 - S ER0 - M AH0 N +HEISEY HH AY1 - S IY0 +HEISHMAN HH IY1 - IH0 SH - M AH0 N +HEISINGER HH AY1 - S IH0 N - JH ER0 +HEISKELL HH AY1 S - K AH0 L +HEISLER HH AY1 - S AH0 - L ER0 +HEISLER(2) HH AY1 S - L ER0 +HEISMAN HH AY1 S - M AH0 N +HEISMAN'S HH AY1 S - M AH0 N Z +HEISNER HH AY1 S - N ER0 +HEISS HH AY1 S +HEIST HH AY1 S T +HEISTAND HH AY1 - S T AH0 N D +HEISTER HH AY1 - S T ER0 +HEIT HH AY1 T +HEITKAMP HH AY1 T - K AE2 M P +HEITMAN HH AY1 T - M AH0 N +HEITMANN HH AY1 T - M AH0 N +HEITMEYER HH AY1 T - M AY0 - ER0 +HEITNER HH AY1 T - N ER0 +HEITZ HH AY1 T S +HEITZENRATER HH AY1 T - Z IH0 N - R EY0 - T ER0 +HEITZMAN HH AY1 T S - M AH0 N +HEIWA HH AY1 - W AH0 +HEIZER HH AY1 - Z ER0 +HEJL HH EH1 JH L +HEJNA HH EH1 JH - N AH0 +HEKKER HH EH1 - K ER0 +HEKMATYAR HH EH2 K - M AH0 - T Y AA1 R +HEKMATYAR'S HH EH2 K - M AH0 - T Y AA1 R Z +HELABA HH EH0 - L AA1 - B AH0 +HELANDER HH EH1 - L AH0 N - D ER0 +HELANE HH AH0 - L EY1 N +HELBER HH EH1 L - B ER0 +HELBERG HH EH1 L - B ER0 G +HELBERT HH EH1 L - B ER0 T +HELBIG HH EH1 L - B IH0 G +HELBING HH EH1 L - B IH0 NG +HELBLING HH EH1 L - B AH0 L - IH0 NG +HELBLING(2) HH EH1 L - B L IH0 NG +HELD HH EH1 L D +HELDENBRAND HH EH1 L - D IH0 N - B R AH0 N D +HELDENBRAND(2) HH EH1 L - D IH0 N - B R AE0 N D +HELDENTENOR HH EH1 L - D EH0 N - T EH2 - N ER0 +HELDER HH EH1 L - D ER0 +HELDERMAN HH EH1 L - D ER0 - M AH0 N +HELDMAN HH EH1 L D - M AH0 N +HELDOR HH EH1 L - D ER0 +HELDRETH HH EH1 L - D R IH0 TH +HELDRING HH EH1 L - D R IH0 NG +HELDS HH EH1 L D Z +HELDT HH EH1 L T +HELEN HH EH1 - L AH0 N +HELEN'S HH EH1 - L IH0 N Z +HELENA HH EH1 - L AH0 - N AH0 +HELENA'S HH EH1 - L IH0 - N AH0 Z +HELENE HH AH0 - L IY1 N +HELENS HH EH1 - L AH0 N Z +HELF HH EH1 L F +HELFAND HH EH1 L - F AH0 N D +HELFER HH EH1 L - F ER0 +HELFGOTT HH EH1 L F - G AA2 T +HELFMAN HH EH1 L F - M AH0 N +HELFRICH HH EH1 L - F R IH0 K +HELGA HH EH1 L - G AH0 +HELGERSON HH EH1 L - G ER0 - S AH0 N +HELGESEN HH EH1 L - G IY0 - Z AH0 N +HELGESON HH EH1 L - G IH0 - S AH0 N +HELGET HH EH1 L - G IH0 T +HELGREN HH EH1 L - G R EH0 N +HELICAL HH EH1 - L IH0 - K AH0 L +HELICE HH EH1 - L IH0 S +HELICON HH EH1 - L IH0 - K AA2 N +HELICONS HH EH1 - L IH0 - K AA2 N Z +HELICOPTER HH EH1 - L IH0 - K AA2 P - T ER0 +HELICOPTER'S HH EH1 - L AH0 - K AA2 P - T ER0 Z +HELICOPTERS HH EH1 - L IH0 - K AA2 P - T ER0 Z +HELIE HH EH1 - L IY0 +HELIN HH EH1 - L IH0 N +HELING HH IY1 - L IH0 NG +HELINSKI HH IH0 - L IH1 N - S K IY0 +HELIONETIC HH IY2 - L IY0 - OW0 - N EH1 - T IH0 K +HELIONETICS HH IY2 - L IY0 - OW0 - N EH1 - T IH0 K S +HELIOPOLIS HH IY2 - L IY0 - AA1 - P AH0 - L AH0 S +HELIOS HH IY1 - L IY0 - AA2 S +HELIOTROPE HH IY1 - L IY0 - AH0 - T R OW2 P +HELIUM HH IY1 - L IY0 - AH0 M +HELIX HH IY1 - L IH0 K S +HELKE HH EH1 L K +HELL HH EH1 L +HELL'S HH EH1 L Z +HELLACIOUS HH EH2 - L EY1 - SH AH0 S +HELLACIOUSLY HH EH2 - L EY1 - SH AH0 S - L IY0 +HELLACIOUSNESS HH EH2 - L EY1 - SH AH0 S - N AH0 S +HELLAMS HH EH1 - L AH0 M Z +HELLAND HH EH1 - L AH0 N D +HELLARD HH EH1 - L ER0 D +HELLBERG HH EH1 L - B ER0 G +HELLBUSCH HH EH1 L - B AH0 SH +HELLBUSCH(2) HH EH1 L - B UH0 SH +HELLE HH EH1 L +HELLEN HH EH1 - L AH0 N +HELLENBRAND HH EH1 - L AH0 N - B R AE2 N D +HELLENIC HH AH0 - L EH1 - N IH0 K +HELLENISM HH EH1 - L AH0 - N IH2 - Z AH0 M +HELLENISTIC HH EH2 - L AH0 - N IH1 - S T IH0 K +HELLENIZE HH EH1 - L AH0 - N AY2 Z +HELLENIZED HH EH1 - L AH0 - N AY2 Z D +HELLER HH EH1 - L ER0 +HELLER'S HH EH1 - L ER0 Z +HELLERMAN HH EH1 - L ER0 - M AH0 N +HELLFIRE HH EH1 L - F AY2 R +HELLICKSON HH EH1 - L IH0 K - S AH0 N +HELLING HH EH1 - L IH0 NG +HELLINGER HH EH1 - L IH0 - NG ER0 +HELLISH HH EH1 - L IH0 SH +HELLMAN HH EH1 L - M AH0 N +HELLMANN HH EH1 L - M AH0 N +HELLMER HH EH1 L - M ER0 +HELLMUTH HH EH1 L - M UW2 TH +HELLNER HH EH1 L - N ER0 +HELLO HH AH0 - L OW1 +HELLO(2) HH EH0 - L OW1 +HELLRAISER HH EH1 L - R EY2 - Z ER0 +HELLSTROM HH EH1 L - S T R AH0 M +HELLUMS HH EH1 - L AH0 M Z +HELLUVA HH EH2 - L UW1 - V AH0 +HELLWIG HH EH1 L - W IH0 G +HELLYER HH EH1 - L IY0 - ER0 +HELM HH EH1 L M +HELMA HH EH1 L - M AH0 +HELMAN HH EH1 L - M AH0 N +HELMBRECHT HH EH1 L M - B R IH0 K T +HELME HH EH1 L M +HELMER HH EH1 L - M ER0 +HELMERICH HH EH1 L - M ER0 - IH0 K +HELMERS HH EH1 L - M ER0 Z +HELMES HH EH1 L M Z +HELMET HH EH1 L - M AH0 T +HELMETED HH EH1 L - M AH0 - T IH0 D +HELMETS HH EH1 L - M AH0 T S +HELMICH HH EH1 L - M IH0 K +HELMICK HH EH1 L - M IH0 K +HELMIG HH EH1 L - M IH0 G +HELMING HH EH1 L - M IH0 NG +HELMINIAK HH EH1 L - M IH0 - N IY0 - AE0 K +HELMINSKI HH IH0 L - M IH1 N - S K IY0 +HELMINTH HH EH1 L - M IH0 N TH +HELMKAMP HH EH1 L M - K AE2 M P +HELMKE HH EH1 L M K +HELMONT HH EH1 L - M AA2 N T +HELMS HH EH1 L M Z +HELMS' HH EH1 L M Z +HELMS'S HH EH1 L M - Z IH0 Z +HELMSBURTON HH EH1 L M Z - B ER0 - T AH0 N +HELMSLEY HH EH1 L M Z - L IY0 +HELMSLEY'S HH EH1 L M - Z L IY0 Z +HELMSLEYS HH EH1 L M - Z L IY0 Z +HELMSMAN HH EH1 L M Z - M AE2 N +HELMSTETTER HH EH1 L M - S T IH0 - T ER0 +HELMUT HH EH1 L - M AH0 T +HELMUTH HH EH1 L - M UW2 TH +HELOT HH EH1 - L AH0 T +HELOTISM HH EH1 - L AH0 - T IH2 - Z AH0 M +HELOTRY HH EH1 - L AH0 - T R IY0 +HELOTS HH EH1 - L AH0 T S +HELP HH EH1 L P +HELPED HH EH1 L P T +HELPER HH EH1 L - P ER0 +HELPERS HH EH1 L - P ER0 Z +HELPFUL HH EH1 L P - F AH0 L +HELPFULLY HH EH1 L P - F AH0 - L IY0 +HELPING HH EH1 L - P IH0 NG +HELPINGS HH EH1 L - P IH0 NG Z +HELPLESS HH EH1 L P - L AH0 S +HELPLESSLY HH EH1 L P - L AH0 S - L IY0 +HELPLESSNESS HH EH1 L P - L AH0 S - N AH0 S +HELPRIN HH EH1 L - P R IH0 N +HELPS HH EH1 L P S +HELSEL HH EH1 L - S AH0 L +HELSER HH EH1 L - S ER0 +HELSETH HH EH1 L - S IH0 TH +HELSINKI HH EH1 L - S IH0 NG - K IY0 +HELSLEY HH EH1 L S - L IY0 +HELSTROM HH EH1 L - S T R AH0 M +HELT HH EH1 L T +HELTER HH EH1 L - T ER0 +HELTON HH EH1 L - T AH0 N +HELTSLEY HH EH1 L T S - L IY0 +HELTZEL HH EH1 L T - Z AH0 L +HELVEY HH EH1 L - V IY0 +HELVIE HH EH1 L - V IY0 +HELWIG HH EH1 L - W IH0 G +HELZER HH EH1 L - Z ER0 +HEM HH EH1 M +HEMAN HH IY1 - M AH0 N +HEMANI HH AH0 - M AA1 - N IY0 +HEMANN HH EH1 - M AH0 N +HEMANT HH EH1 - M AH0 N T +HEMATITE HH EH1 - M AH0 - T AY2 T +HEMATOLOGY HH EH2 - M AH0 - T AA1 - L AH0 - JH IY0 +HEMATOLOGY(2) HH IY2 - M AH0 - T AA1 - L AH0 - JH IY0 +HEMBERGER HH EH1 M - B ER0 - G ER0 +HEMBREE HH IH0 M - B R IY1 +HEMBRICK HH EH1 M - B R IH2 K +HEMBY HH EH1 M - B IY0 +HEMDALE HH EH1 M - D EY2 L +HEMDALE'S HH EH1 M - D EY2 L Z +HEMEL HH EH1 - M AH0 L +HEMENWAY HH EH1 - M AH0 N - W EY2 +HEMIMORPHITE HH EH2 - M AH0 - M AO1 R - F AY2 T +HEMING HH EH1 - M IH0 NG +HEMINGER HH EH1 - M IH0 - NG ER0 +HEMINGWAY HH EH1 - M IH0 NG - W EY2 +HEMINGWAY'S HH EH1 - M IH0 NG - W EY2 Z +HEMIPLEGIA HH EH2 - M AH0 - P L IY1 - JH IY0 - AH0 +HEMIPLEGIA(2) HH EH2 - M AH0 - P L IY1 - JH Y AH0 +HEMISPHERE HH EH1 - M IH0 - S F IH2 R +HEMISPHERIC HH EH2 - M AH0 - S F IH1 - R IH0 K +HEMKER HH EH1 M - K ER0 +HEMLER HH EH1 M - L ER0 +HEMLINE HH EH1 M - L AY2 N +HEMLINES HH EH1 M - L AY2 N Z +HEMLO HH EH1 M - L OW0 +HEMLOCK HH EH1 M - L AA2 K +HEMM HH EH1 M +HEMME HH EH1 M +HEMMED HH EH1 M D +HEMMELGARN HH EH1 - M IH0 L - G AA0 R N +HEMMEN HH EH1 - M AH0 N +HEMMER HH EH1 - M ER0 +HEMMERICH HH EH1 - M ER0 - IH0 K +HEMMERLE HH EH1 - M ER0 - L IY0 +HEMMERLING HH EH1 - M ER0 - L IH0 NG +HEMMERT HH EH1 - M ER0 T +HEMMETER HH EH1 - M IH0 - T ER0 +HEMMING HH EH1 - M IH0 NG +HEMMINGER HH EH1 - M IH0 - NG ER0 +HEMMINGHAUS HH EH1 - M IH0 NG - HH AW2 S +HEMMINGS HH EH1 - M IH0 NG Z +HEMMINGSEN HH EH1 - M IH0 NG - S AH0 N +HEMMINGSON HH EH1 - M IH0 NG - S AH0 N +HEMO HH IY1 - M OW0 +HEMOCYANIN HH IY2 - M AH0 - S AY1 - AH0 - N AH0 N +HEMODYNAMIC HH EH2 - M OW0 - D AY0 - N AE1 - M IH0 K +HEMODYNAMICS HH EH2 - M OW0 - D AY0 - N AE1 - M IH0 K S +HEMOGLOBIN HH IY2 - M AH0 - G L OW1 - B AH0 N +HEMOLYTIC HH IY2 - M AH0 - L IH1 - T IH0 K +HEMOND HH EH1 - M AH0 N D +HEMOPHILIA HH IY2 - M AH0 - F IY1 - L IY0 - AH0 +HEMOPHILIAC HH IY0 - M AH0 - F IH1 - L IY0 - AE0 K +HEMOPHILIAC(2) HH IY0 - M OW0 - F IH1 - L IY0 - AE0 K +HEMOPHILIAC(3) HH IY0 - M AH0 - F IH1 L - Y AE0 K +HEMOPHILIAC(4) HH IY0 - M OW0 - F IH1 L - Y AE0 K +HEMOPHILIACS HH IY2 - M AH0 - F IH1 - L IY0 - AE2 K S +HEMORRHAGE HH EH1 - M ER0 - IH0 JH +HEMORRHAGE(2) HH EH1 M - R AH0 JH +HEMORRHAGED HH EH1 - M ER0 - IH0 JH D +HEMORRHAGIC HH EH2 - M ER0 - AE1 - G IH0 K +HEMORRHAGING HH EH1 - M ER0 - IH0 - JH IH0 NG +HEMORRHOID HH EH1 - M ER0 - OY2 D +HEMORRHOIDS HH EH1 - M ER0 - OY2 D Z +HEMOTEC HH EH1 - M OW0 - T EH2 K +HEMP HH EH1 M P +HEMPEL HH EH1 M - P AH0 L +HEMPEN HH EH1 M - P AH0 N +HEMPFLING HH EH1 M P - F AH0 L - IH0 NG +HEMPFLING(2) HH EH1 M P - F L IH0 NG +HEMPHILL HH EH1 M P - HH IH2 L +HEMPSTEAD HH EH1 M P - S T EH0 D +HEMRIC HH EH1 M - R IH0 K +HEMRICK HH EH1 M - R IH0 K +HEMRY HH EH1 M - R IY0 +HEMS HH EH1 M Z +HEMSLEY HH EH1 M Z - L IY0 +HEMSTREET HH EH1 M - S T R IY2 T +HEMY HH EH1 - M IY0 +HEN HH EH1 N +HEN'S HH EH1 N Z +HENAO HH EY1 - N AW0 +HENARD HH EH1 - N ER0 D +HENAULT HH EH1 - N AW0 L T +HENBANE HH EH1 N - B EY2 N +HENCE HH EH1 N S +HENCEFORTH HH EH1 N S - F AO1 R TH +HENCH HH EH1 N CH +HENCHMAN HH EH1 N CH - M AH0 N +HENCHMEN HH EH1 N CH - M AH0 N +HENCKEL HH EH1 N - K AH0 L +HENDEE HH EH1 N - D IY0 +HENDEL HH EH1 N - D AH0 L +HENDERSHOT HH EH1 N - D ER0 - SH AH0 T +HENDERSHOTT HH EH1 N - D ER0 - SH AH0 T +HENDERSON HH EH1 N - D ER0 - S AH0 N +HENDLER HH EH1 N D - L ER0 +HENDLEY HH EH1 N D - L IY0 +HENDON HH EH1 N - D OW0 N +HENDRA HH EH1 N - D R AH0 +HENDREN HH EH1 N - D ER0 - AH0 N +HENDRICH HH EH1 N - D R IH0 K +HENDRICK HH EH1 N - D R IH0 K +HENDRICKS HH EH1 N - D R IH0 K S +HENDRICKSEN HH EH1 N - D R IH0 K - S AH0 N +HENDRICKSON HH EH1 N - D R IH0 K - S AH0 N +HENDRIE HH EH1 N - D ER0 - IY0 +HENDRIK HH EH1 N - D R IH0 K +HENDRIKS HH EH1 N - D R IH0 K S +HENDRIKSEN HH EH1 N - D R IH0 K - S AH0 N +HENDRIX HH EH1 N - D R IH0 K S +HENDRIXSON HH EH1 N - D R IH0 K - S AH0 N +HENDRON HH EH1 N - D R AH0 N +HENDRY HH EH1 N - D R IY0 +HENDRY'S HH EH1 N - D R IY0 Z +HENDRYX HH EH1 N - D R IH0 K S +HENDY HH EH1 N - D IY0 +HENEGAR HH EH1 - N IH0 - G ER0 +HENEGHAN HH IH0 - N EH1 G - HH AH0 N +HENEHAN HH EH1 - N IH0 - HH AE0 N +HENERY HH EH1 - N ER0 - IY0 +HENES HH IY1 N Z +HENEY HH EH1 - N IY0 +HENG HH EH1 NG +HENGEL HH EH1 NG - G AH0 L +HENGST HH EH1 NG G S T +HENHOUSE HH EH1 N - HH AW2 S +HENIE HH EH1 - N IY0 +HENIGAN HH EH1 - N IH0 - G AH0 N +HENIN HH EH1 - N IH0 N +HENINGER HH EH1 - N IH0 - NG ER0 +HENION HH EH1 - N Y AH0 N +HENK HH EH1 NG K +HENKE HH EH1 NG K +HENKEL HH EH1 NG - K AH0 L +HENKELMAN HH EH1 NG - K AH0 L - M AH0 N +HENKELS HH EH1 NG - K AH0 L Z +HENKEN HH EH1 NG - K AH0 N +HENKES HH EH1 NG K S +HENKIN HH EH1 NG - K IH0 N +HENKLE HH EH1 NG - K AH0 L +HENLE HH EH1 - N AH0 L +HENLEY HH EH1 N - L IY0 +HENLEY'S HH EH1 N - L IY0 Z +HENLEYS HH EH1 N - L IY0 Z +HENLINE HH EH1 N - L AY2 N +HENLY HH EH1 N - L IY0 +HENMAN HH EH1 N - M AH0 N +HENN HH EH1 N +HENNA HH EH1 - N AH0 +HENNAN HH EH1 - N AH0 N +HENNE HH EH1 N +HENNE(2) HH EH1 - N IY0 +HENNEBERGER HH EH1 N - B ER0 - G ER0 +HENNEBERRY HH EH1 N - B EH0 - R IY0 +HENNEKE HH EH1 - N IH0 K +HENNELLY HH EH1 - N AH0 - L IY0 +HENNEMAN HH EH1 N - M AH0 N +HENNEN HH EH1 - N AH0 N +HENNEPIN HH EH1 - N IH0 - P IH0 N +HENNER HH EH1 - N ER0 +HENNES HH EH1 N Z +HENNESS HH EH1 - N IH0 S +HENNESSEE HH EH1 - N IH0 - S IY0 +HENNESSEY HH EH1 - N AH0 - S IY0 +HENNESSEY'S HH EH1 - N AH0 - S IY0 Z +HENNESSY HH EH1 - N AH0 - S IY0 +HENNEY HH EH1 - N IY0 +HENNICK HH EH1 - N IH0 K +HENNIG HH EH1 - N IH0 G +HENNIGAN HH EH1 - N IH0 - G AH0 N +HENNIGAR HH EH1 - N IH0 - G ER0 +HENNING HH EH1 - N IH0 NG +HENNINGER HH EH1 - N IH0 - NG ER0 +HENNINGS HH EH1 - N IH0 NG Z +HENNINGSEN HH EH1 - N IH0 NG - S AH0 N +HENNINGTON HH EH1 - N IH0 NG - T AH0 N +HENNIS HH EH1 - N IH0 S +HENNON HH EH1 - N AH0 N +HENPECK HH EH1 N - P EH2 K +HENPECKED HH EH1 N - P EH2 K T +HENRI HH EH1 N - R IY0 +HENRI(2) AO2 - R IY1 +HENRI(3) AA2 N - R IY1 +HENRICH HH EH1 N - R IH0 K +HENRICHS HH EH1 N - R IH0 K S +HENRICHSEN HH EH1 N - R IH0 K - S AH0 N +HENRICK HH EH1 N - R IH0 K +HENRICKS HH EH1 N - R IH0 K S +HENRICKSEN HH EH1 N - R IH0 K - S AH0 N +HENRICKSON HH EH1 N - R IH0 K - S AH0 N +HENRIE HH EH1 - N ER0 - IY0 +HENRIETTA HH EH2 N - R IY0 - EH1 - T AH0 +HENRIETTE HH EH2 N - R IY0 - EH1 T +HENRIK HH EH1 N - R IH0 K +HENRIKA HH EH1 - N R IH0 - K AH0 +HENRIKSEN HH EH1 N - R IH0 K - S AH0 N +HENRIKSON HH EH1 N - R IH0 K - S AH0 N +HENRIQUE AA0 N - R IY1 K +HENRIQUES HH EH0 N - R IY1 - K EH0 Z +HENRIQUES(2) AA0 N - R IY1 K +HENRIQUEZ HH EH0 N - R IY1 - K EH0 Z +HENRIQUEZ(2) AA0 N - R IY1 K +HENRY HH EH1 N - R IY0 +HENRY'S HH EH1 N - R IY0 Z +HENS HH EH1 N Z +HENSARLING HH EH1 N - S AA0 R - L IH0 NG +HENSCH HH EH1 N SH +HENSCHEL HH EH1 N - SH AH0 L +HENSCHEN HH EH1 N - SH AH0 N +HENSE HH EH1 N S +HENSEL HH EH1 N - S AH0 L +HENSEN HH EH1 N - S AH0 N +HENSHAW HH EH1 N - SH AO2 +HENSKE HH EH1 N S - K IY0 +HENSLEE HH EH1 N Z - L IY2 +HENSLER HH EH1 N - S AH0 - L ER0 +HENSLER(2) HH EH1 N S - L ER0 +HENSLEY HH EH1 N Z - L IY0 +HENSON HH EH1 N - S AH0 N +HENTGES HH EH1 N T - JH IH0 Z +HENTHORN HH EH1 N - TH ER0 N +HENTHORNE HH EH1 N - TH ER0 N +HENTIC HH EH1 N - T IH0 K +HENTOFF HH EH1 N - T AO0 F +HENTON HH EH1 N - T AH0 N +HENTSCHEL HH EH1 N - CH AH0 L +HENTZ HH EH1 N T S +HENWOOD HH EH1 N - W UH2 D +HENZE HH EH1 N Z +HENZEL HH EH1 N - Z AH0 L +HENZLER HH EH1 N Z - L ER0 +HEON HH IY1 - AH0 N +HEP HH EH1 P +HEPARIN HH EH1 - P ER0 - IH0 N +HEPATIC HH AH0 - P AE1 - T IH0 K +HEPATITIS HH EH2 - P AH0 - T AY1 - T AH0 S +HEPBURN HH EH1 P - B ER0 N +HEPBURN'S HH EH1 P - B ER0 N Z +HEPFER HH EH1 P - F ER0 +HEPKER HH EH1 P - K ER0 +HEPLER HH EH1 P - L ER0 +HEPNER HH EH1 P - N ER0 +HEPP HH EH1 P +HEPPE HH EH1 P +HEPPER HH EH1 - P ER0 +HEPPLER HH EH1 P - L ER0 +HEPPNER HH EH1 P - N ER0 +HEPTATHLON HH EH0 P - T AE1 TH - L AA0 N +HEPWORTH HH EH1 P - W ER0 TH +HER HH ER0 +HER'S HH ER1 Z +HER(2) HH ER1 +HERA HH IH1 - R AH0 +HERALD HH EH1 - R AH0 L D +HERALD'S HH EH1 - R AH0 L D Z +HERALDED HH EH1 - R AH0 L - D IH0 D +HERALDIC HH EH0 - R AE1 L - D IH0 K +HERALDING HH EH1 - R AH0 L - D IH0 NG +HERALDRY HH EH1 - R AH0 L - D R IY0 +HERALDS HH EH1 - R AH0 L D Z +HERB ER1 B +HERB'S ER1 B Z +HERB'S(2) HH ER1 B Z +HERB(2) HH ER1 B +HERBACEOUS ER0 - B EY1 - SH AH0 S +HERBAL ER1 - B AH0 L +HERBAL(2) HH ER1 - B AH0 L +HERBALIFE HH ER1 - B AH0 - L AY2 F +HERBALIFE(2) ER1 - B AH0 - L AY2 F +HERBALIST ER1 - B AH0 - L AH0 S T +HERBALIST'S ER1 - B AH0 - L AH0 S T S +HERBALIST'S(2) HH ER1 - B AH0 - L AH0 S T S +HERBALIST(2) HH ER1 - B AH0 - L AH0 S T +HERBALISTS ER1 - B AH0 - L AH0 S T S +HERBALISTS' ER1 - B AH0 - L AH0 S T S +HERBALISTS'(2) HH ER1 - B AH0 - L AH0 S T S +HERBALISTS(2) ER1 - B AH0 - L AH0 S S +HERBALISTS(3) HH ER1 - B AH0 - L AH0 S T S +HERBALISTS(4) HH ER1 - B AH0 - L AH0 S S +HERBALISTS(5) ER1 - B AH0 - L AH0 S +HERBALISTS(6) HH ER1 - B AH0 - L AH0 S +HERBARIUM HH ER0 - B EH1 - R IY0 - AH0 M +HERBARIUM(2) ER0 - B EH1 - R IY0 - AH0 M +HERBARIUMS HH ER0 - B EH1 - R IY0 - AH0 M Z +HERBARIUMS(2) ER0 - B EH1 - R IY0 - AH0 M Z +HERBECK HH ER1 - B EH0 K +HERBEL HH ER1 - B AH0 L +HERBER HH ER1 - B ER0 +HERBERG HH ER1 - B ER0 G +HERBERGER HH ER1 - B ER0 - G ER0 +HERBERS HH ER1 - B ER0 Z +HERBERT HH ER1 - B ER0 T +HERBERT'S HH ER1 - B ER0 T S +HERBICIDE HH ER1 - B IH0 - S AY2 D +HERBICIDE(2) ER1 - B IH0 - S AY2 D +HERBICIDES ER1 - B AH0 - S AY2 D Z +HERBICIDES(2) HH ER1 - B AH0 - S AY2 D Z +HERBIE HH ER1 - B IY0 +HERBIG HH ER1 - B IH0 G +HERBIN HH ER1 - B IH0 N +HERBISON HH ER1 - B IH0 - S AH0 N +HERBIVORE HH ER1 - B IH0 - V AO2 R +HERBIVORE(2) ER1 - B IH0 - V AO2 R +HERBIVOROUS HH ER0 - B IH1 - V ER0 - AH0 S +HERBIVOROUS(2) ER0 - B IH1 - V ER0 - AH0 S +HERBOLD HH ER1 - B OW0 L D +HERBS ER1 B Z +HERBST HH ER1 B S T +HERBSTER HH ER1 B - S T ER0 +HERCEG HH ER1 - S IH0 G +HERCEGOVINA HH EH2 R T - S AH0 - G OW0 - V IY1 - N AH0 +HERCEGOVINA'S HH EH2 R T - S AH0 - G OW0 - V IY1 - N AH0 Z +HERCEGOVINA'S(2) HH ER2 R T - S AH0 - G OW0 - V IY1 - N AH0 Z +HERCEGOVINA(2) HH ER2 R T - S AH0 - G OW0 - V IY1 - N AH0 +HERCULEAN HH ER0 - K Y UW1 - L IY0 - AH0 N +HERCULES HH ER1 - K Y AH0 - L IY2 Z +HERCZEG HH ER1 - CH IH0 G +HERD HH ER1 D +HERDA HH EH1 R - D AH0 +HERDAL HH EH1 R - D AH0 L +HERDED HH ER1 - D IH0 D +HERDER HH EH1 R - D ER0 +HERDER(2) HH ER1 - D ER0 +HERDERS HH ER1 - D ER0 Z +HERDING HH ER1 - D IH0 NG +HERDMAN HH ER1 D - M AH0 N +HERDS HH ER1 D Z +HERDSMEN HH ER1 D Z - M IH0 N +HERDT HH ER1 T +HERE HH IH1 R +HERE'S HH IH1 R Z +HEREABOUT HH IH1 - R AH0 - B AW2 T +HEREABOUTS HH IH1 - R AH0 - B AW2 T S +HEREAFTER HH IH0 - R AE1 F - T ER0 +HEREBY HH IH0 R - B AY1 +HEREDIA HH ER0 - EH1 - D IY0 - AH0 +HEREDITARY HH ER0 - EH1 - D AH0 - T EH2 - R IY0 +HEREDITY HH ER0 - EH1 - D AH0 - T IY0 +HEREFORD HH EH1 - R AH0 - F ER0 D +HEREIN HH IH0 - R IH1 N +HERENDEEN HH IH1 R N - D IY0 N +HERESY HH EH1 - R AH0 - S IY0 +HERETIC HH EH1 - R AH0 - T IH0 K +HERETICAL HH ER0 - EH1 - T IH0 - K AH0 L +HERETOFORE HH IH2 R - T AH0 - F AO1 R +HEREWITH HH IH1 R - W IH1 TH +HERFORD HH ER1 - F ER0 D +HERFURTH HH ER1 - F ER0 TH +HERGERT HH ER1 - G ER0 T +HERGET HH ER1 - G IH0 T +HERGOTT HH ER1 - G AH0 T +HERIN HH EH1 - R IH0 N +HERING HH ER1 - IH0 NG +HERINGER HH EH1 - R IH0 N - JH ER0 +HERINGTON HH EH1 - R IH0 NG - T AH0 N +HERITABLE HH EH1 - R AH0 - T AH0 - B AH0 L +HERITAGE HH EH1 - R AH0 - T AH0 JH +HERITAGE'S HH EH1 - R AH0 - T IH0 - JH IH0 Z +HERITAGE(2) HH EH1 - R IH0 - T IH0 JH +HERITAGES HH EH1 - R IH0 - T IH0 - JH AH0 Z +HERK HH ER1 K +HERKERT HH ER1 - K ER0 T +HERL HH ER1 L +HERLIHY HH ER1 - L IH0 - HH IY0 +HERLING HH ER1 - L IH0 NG +HERLONG HH ER1 - L AO0 NG +HERM HH ER1 M +HERMAN HH ER1 - M AH0 N +HERMAN'S HH ER1 - M AH0 N Z +HERMANCE HH ER1 - M AH0 N S +HERMANN HH ER1 - M AH0 N +HERMANNS HH ER1 - M AA0 N Z +HERMANS HH ER1 - M AH0 N Z +HERMANSEN HH ER1 - M AH0 N - S AH0 N +HERMANSON HH ER1 - M AH0 N - S AH0 N +HERMAPHRODITE HH ER0 - M AE1 - F R AH0 - D AY2 T +HERMAPHRODITIC HH ER0 - M AE2 - F R AH0 - D IH1 - T IH0 K +HERMES HH ER1 - M IY0 Z +HERMETICALLY HH ER0 - M EH1 - T IH0 - K AH0 - L IY0 +HERMETICALLY(2) HH ER0 - M EH1 - T IH0 K - L IY0 +HERMIA HH ER1 - M IY0 - AH0 +HERMIAS HH ER1 - M IY0 - AH0 Z +HERMIDA HH EH0 R - M IY1 - D AH0 +HERMIE HH ER1 - M IY0 +HERMINA HH ER1 - M IH0 - N AH0 +HERMINA(2) HH ER0 - M IY1 - N AH0 +HERMINE HH ER1 - M IH0 N +HERMINIA HH EH0 R - M IY1 - N IY0 - AH0 +HERMINIE HH ER1 - M IH0 - N IY0 +HERMIT HH ER1 - M AH0 T +HERMITAGE HH ER1 - M AH0 - T AH0 JH +HERMITS HH ER1 - M AH0 T S +HERMON HH ER1 - M AH0 N +HERMOSA HH EH0 R - M OW1 - S AH0 +HERMOSILLO HH ER0 - M AH0 - S IH1 - L OW0 +HERMS HH ER1 M Z +HERMSEN HH ER1 M - S AH0 N +HERN HH ER1 N +HERNAN HH ER1 - N AH0 N +HERNANDES HH ER1 - N IH0 N D Z +HERNANDES(2) HH ER0 - N AE1 N - D EH0 Z +HERNANDEZ HH ER0 - N AE1 N - D EH0 Z +HERNANDO HH ER0 - N AA1 N - D OW0 +HERNDON HH ER1 N - D AH0 N +HERNE HH ER1 N +HERNER HH ER1 - N ER0 +HERNIA HH ER1 - N IY0 - AH0 +HERNIATE HH ER1 - N IY0 - EY2 T +HERNIATES HH ER1 - N IY0 - EY2 T S +HERNON HH ER1 - N AH0 N +HERO HH IH1 - R OW0 +HERO'S HH IH1 - R OW0 Z +HERO'S(2) HH IY1 - R OW0 Z +HERO(2) HH IY1 - R OW0 +HEROD HH EH1 - R AH0 D +HEROES HH IH1 - R OW0 Z +HEROES(2) HH IY1 - R OW0 Z +HEROIC HH IH0 - R OW1 - IH0 K +HEROICALLY HH IH2 - R OW1 - IH0 K - L IY0 +HEROICS HH IH0 - R OW1 - IH0 K S +HEROIN HH EH1 - R OW0 - AH0 N +HEROIN'S HH EH1 - R OW0 - AH0 N Z +HEROINE HH EH1 - R OW0 - AH0 N +HEROINES HH EH1 - R OW2 - AH0 N Z +HEROISM HH EH1 - R OW0 - IH2 - Z AH0 M +HEROIZE HH IY1 - R OW0 - AY2 Z +HEROIZED HH IY1 - R OW0 - AY2 Z D +HEROLD HH EH1 - R AH0 L D +HERON HH EH1 - R AH0 N +HERON'S HH EH1 - R AH0 N Z +HERONS HH EH1 - R AH0 N Z +HEROS HH IH1 - R OW0 Z +HEROUX HH ER0 - UW1 +HERPES HH ER1 - P IY0 Z +HERR HH EH1 R +HERRE HH EH1 R +HERRE(2) HH AH1 - R IY0 +HERREID HH EH1 - R AY0 D +HERRELL HH EH1 - R AH0 L +HERREN HH EH1 - R AH0 N +HERRERA HH ER0 - EH1 - R AH0 +HERRERO HH EH0 - R EH1 - R OW0 +HERRHAUSEN HH EH1 R - HH AW2 - Z AH0 N +HERRIAGE HH EH1 - R IY0 - IH0 JH +HERRICK HH EH1 - R IH0 K +HERRIDGE HH EH1 - R IH0 JH +HERRIG HH EH1 - R IH0 G +HERRIMAN HH EH1 - R IH0 - M AH0 N +HERRIN HH EH1 - R IH0 N +HERRING HH EH1 - R IH0 NG +HERRINGS HH EH1 - R IH0 NG Z +HERRINGSHAW HH EH1 - R IH0 NG - SH AO2 +HERRINGTON HH EH1 - R IH0 NG - T AH0 N +HERRINGTON'S HH EH1 - R IH0 NG - T AH0 N Z +HERRIOTT HH EH1 - R IY0 - AA0 T +HERRIOTT(2) HH EH1 - R IY0 - AH0 T +HERRLE HH EH1 - R AH0 L +HERRLINGER HH EH1 R - L IH2 - NG ER0 +HERRLINGER(2) HH EH1 R - L IH2 NG - G ER0 +HERRMAN HH EH1 R - M AH0 N +HERRMANN HH EH1 R - M AH0 N +HERRO HH EH1 - R OW0 +HERROD HH EH1 - R AH0 D +HERROLD HH EH1 - R OW2 L D +HERRON HH EH1 - R AH0 N +HERRONIMO HH ER0 - AA1 - N AH0 - M OW0 +HERRONIMO'S HH ER0 - AA1 - N AH0 - M OW0 Z +HERS HH ER0 Z +HERS(2) HH ER1 Z +HERSANT HH ER1 - S AH0 N T +HERSCH HH ER1 SH +HERSCHEL HH ER1 - SH AH0 L +HERSCHEL'S HH ER1 - SH AH0 L Z +HERSCHELL HH ER1 - SH AH0 L +HERSCHENSOHN HH ER1 - SH AH0 N - S AH0 N +HERSCU HH ER0 - S K UW1 +HERSELF HH ER0 - S EH1 L F +HERSEY HH ER1 - S IY0 +HERSH HH ER1 SH +HERSHBERGER HH ER1 SH - B ER0 - G ER0 +HERSHEY HH ER1 - SH IY0 +HERSHEY'S HH ER1 - SH IY0 Z +HERSHISER HH ER1 - SH AY0 - Z ER0 +HERSHKOWITZ HH ER1 SH - K AH0 - W IH0 T S +HERSHMAN HH ER1 SH - M AH0 N +HERSHNER HH ER1 SH - N ER0 +HERSKOVITZ HH ER1 - S K AH0 - V IH0 T S +HERSKOWITZ HH ER1 - S K AH0 - W IH0 T S +HERSMAN HH ER1 S - M AH0 N +HERSOM HH ER1 - S AH0 M +HERSON HH ER1 - S AH0 N +HERST HH ER1 S T +HERT HH ER1 T +HERTA HH ER1 - T AH0 +HERTEL HH ER1 - T AH0 L +HERTENSTEIN HH ER1 - T AH0 N - S T AY0 N +HERTENSTEIN(2) HH ER1 - T AH0 N - S T IY0 N +HERTER HH ER1 - T ER0 +HERTHA HH ER1 - TH AH0 +HERTIG HH ER1 - T IH0 G +HERTING HH ER1 - T IH0 NG +HERTLEIN HH ER1 T - L AY0 N +HERTOG HH ER1 - T AA0 G +HERTZ HH EH1 R T S +HERTZ(2) HH ER1 T S +HERTZBERG HH ER1 T S - B ER0 G +HERTZENLEBEN HH ER1 - T AH0 N - L EY2 - B AH0 N +HERTZENLEBEN'S HH ER1 - T AH0 N - L EY2 - B AH0 N Z +HERTZLER HH ER1 T - Z AH0 L - ER0 +HERTZLER(2) HH ER1 T Z - L ER0 +HERTZOG HH ER1 T - Z AH0 G +HERTZOG(2) HH ER1 T - Z AA2 G +HERVE HH ER1 V +HERVE(2) HH ER1 - V EY0 +HERVEY HH ER0 - V EY1 +HERWICK HH ER1 - W IH2 K +HERWIG HH ER1 - W IH0 G +HERWITZ HH ER1 - W IH0 T S +HERYANA HH ER0 - Y AE1 - N AH0 +HERZ HH ER1 Z +HERZBERG HH ER1 Z - B ER0 G +HERZBERGER HH ER1 Z - B ER0 - G ER0 +HERZEGOVINA HH EH2 R T - S AH0 - G OW0 - V IY1 - N AH0 +HERZEGOVINA'S HH EH2 R T - S AH0 - G OW0 - V IY1 - N AH0 Z +HERZEGOVINA'S(2) HH ER2 T - S AH0 - G OW0 - V IY1 - N AH0 Z +HERZEGOVINA(2) HH ER2 T - S AH0 - G OW0 - V IY1 - N AH0 +HERZER HH ER1 - Z ER0 +HERZFELD HH ER1 Z - F EH0 L D +HERZIG HH ER1 - Z IH0 G +HERZING HH ER1 - Z IH0 NG +HERZLINGER HH ER1 Z - L IH2 - NG ER0 +HERZOG HH ER1 - Z AA0 G +HESCH HH EH1 SH +HESELTINE HH EH1 - S AH0 L - T IY2 N +HESELTINE(2) HH EH1 - S AH0 L - T AY2 N +HESELTON HH IH0 - S EH1 L - T AH0 N +HESHENG HH EH1 - SH EH1 NG +HESIOD HH IY1 - S IY0 - AH0 D +HESITANCY HH EH1 - Z IH0 - T AH0 N - S IY0 +HESITANT HH EH1 - Z IH0 - T AH0 N T +HESITANTLY HH EH1 - Z IH0 - T AH0 N T - L IY0 +HESITATE HH EH1 - Z AH0 - T EY2 T +HESITATED HH EH1 - Z IH0 - T EY2 - T IH0 D +HESITATES HH EH1 - Z AH0 - T EY2 T S +HESITATING HH EH1 - Z AH0 - T EY2 - T IH0 NG +HESITATION HH EH2 - Z AH0 - T EY1 - SH AH0 N +HESITATIONS HH EH2 - Z AH0 - T EY1 - SH AH0 N Z +HESKETH HH EH1 - S K IH0 TH +HESKETT HH EH1 - S K IH0 T +HESLEP HH EH1 S - L IH0 P +HESLER HH EH1 - S AH0 - L ER0 +HESLER(2) HH EH1 S - L ER0 +HESLIN HH EH1 S - L IH0 N +HESLOP HH EH1 S - L AH0 P +HESPER HH EH1 - S P ER0 +HESPERA HH EY0 - S P EH1 - R AH0 +HESS HH EH1 S +HESSE HH EH1 S +HESSE'S HH EH1 - S IH0 Z +HESSEL HH EH1 - S AH0 L +HESSELTINE HH EH1 - S IH0 L - T IY0 N +HESSER HH EH1 - S ER0 +HESSIAN HH EH1 - SH AH0 N +HESSING HH EH1 - S IH0 NG +HESSINGER HH EH1 - S IH0 N - JH ER0 +HESSION HH EH1 - SH IH0 N +HESSITE HH EH1 - S AY0 T +HESSLER HH EH1 S - L ER0 +HESSLING HH EH1 - S AH0 - L IH0 NG +HESSLING(2) HH EH1 - S L IH0 NG +HESSON HH EH1 - S AH0 N +HESSTON HH EH1 - S T AH0 N +HESSTON'S HH EH1 - S T AH0 N Z +HESTAND HH EH1 - S T AH0 N D +HESTER HH EH1 - S T ER0 +HESTHER HH EH1 S - DH ER0 +HESTIA HH EH1 - S T IY0 - AH0 +HESTON HH EH1 - S T AH0 N +HETEROCERCAL HH EH2 - T ER0 - OW0 - S ER1 - K AH0 L +HETERODOX HH EH2 - T ER0 - AH0 - D AA2 K S +HETERODOXY HH EH1 - T ER0 - AH0 - D AA2 K - S IY0 +HETERODYNE HH EH1 - T ER0 - AH0 - D AY2 N +HETEROGENEITY HH EH2 - T ER0 - AH0 - JH IH0 - N IY1 - AH0 - T IY0 +HETEROGENEITY(2) HH EH2 - T ER0 - AH0 - JH IH0 - N EY1 - AH0 - T IY0 +HETEROGENEOUS HH EH2 - T ER0 - AH0 - JH IY1 - N Y AH0 S +HETEROSEXUAL HH EH2 - T ER0 - OW0 - S EH1 K - SH AH0 - W AH0 L +HETEROSEXUALITY HH EH2 - T ER0 - OW0 - S EH0 K - SH AH0 W - AE1 - L IH0 - T IY0 +HETEROSEXUALS HH EH2 - T ER0 - OW0 - S EH1 K - SH AH0 - W AH0 L Z +HETEROSIS HH EH2 - T ER0 - OW1 - S AH0 S +HETEROSPOROUS HH EH2 - T ER0 - AA1 - S P ER0 - AH0 S +HETEROTROPHIC HH EH2 - T ER0 - AH0 - T R AA1 - F IH0 K +HETEROZYGOUS HH EH2 - T ER0 - AH0 - Z AY1 - G AH0 S +HETH HH EH1 TH +HETHERINGTON HH EH1 - DH ER0 - IH0 NG - T AH0 N +HETLAND HH EH1 T - L AH0 N D +HETMAN HH EH1 T - M AH0 N +HETRICK HH EH1 - T R IH0 K +HETT HH EH1 T +HETTEL HH EH1 - T AH0 L +HETTI HH EH1 - T IY0 +HETTICK HH EH1 - T IH0 K +HETTIE HH EH1 - T IY0 +HETTLER HH EH1 T - L ER0 +HETTRICK HH EH1 - T R IH0 K +HETTY HH EH1 - T IY0 +HETU HH IY1 - CH UW0 +HETZ HH EH1 T S +HETZEL HH EH1 T - Z AH0 L +HETZER HH EH1 T - Z ER0 +HETZLER HH EH1 T S - L ER0 +HEUBERGER HH OY1 - B ER0 - G ER0 +HEUBLEIN HH Y UW1 - B L AY2 N +HEUER HH Y UW1 - ER0 +HEUER'S HH Y UW1 - ER0 Z +HEUERMAN HH OY1 - ER0 - M AH0 N +HEUERMANN HH OY1 - ER0 - M AH0 N +HEUMAN HH Y UW1 - M AH0 N +HEUMANN HH Y UW1 - M AH0 N +HEUN HH Y UW1 N +HEUNG-YEUNG HH UW1 - NG Y UW1 NG +HEUPEL HH OY1 - P AH0 L +HEURING HH ER1 - IH0 NG +HEUSEN HH Y UW1 - S AH0 N +HEUSER HH OY1 - S ER0 +HEUSSER HH Y UW1 - S ER0 +HEVENER HH EH1 - V IY0 - N ER0 +HEVERLY HH EH1 - V ER0 - L IY0 +HEVEY HH IH0 - V EY1 +HEVIA HH EY1 - V IY0 - AH0 +HEW HH Y UW1 +HEWARD HH Y UW1 - ER0 D +HEWE HH Y UW1 +HEWELL HH EH1 - W EH0 L +HEWELL(2) HH Y UW1 - W EH0 L +HEWER HH Y UW1 - ER0 +HEWES HH Y UW1 Z +HEWETT HH Y UW1 - IH0 T +HEWEY HH Y UW1 - IY0 +HEWING HH Y UW1 - IH0 NG +HEWINS HH Y UW1 - IH0 N Z +HEWITT HH Y UW1 - IH0 T +HEWITT'S HH Y UW1 - IH0 T S +HEWLER HH Y UW1 - L ER0 +HEWLER'S HH Y UW1 - L ER0 Z +HEWLETT HH Y UW1 - L IH0 T +HEWN HH Y UW1 N +HEWS HH Y UW1 Z +HEWSON HH Y UW1 - S AH0 N +HEXACHLOROPHENE HH EH2 K - S AH0 - K L AO1 - R AH0 - F IY2 N +HEXAGON HH EH1 K - S AH0 - G AA2 N +HEXAGONAL HH EH0 K - S AE1 - G AH0 - N AH0 L +HEXCEL HH EH1 K - S AH0 L +HEXT HH EH1 K S T +HEY HH EY1 +HEYBOER HH EY1 - B OW0 - ER0 +HEYD HH EY1 D +HEYDAY HH EY1 - D EY2 +HEYDE HH EY1 D +HEYDEN HH EY1 - D AH0 N +HEYDON HH EY1 - D AH0 N +HEYDT HH EY1 D T +HEYE HH AY1 +HEYEN HH AY1 N +HEYER HH EY1 - ER0 +HEYING HH EY1 - IH0 NG +HEYL HH EY1 L +HEYMAN HH EY1 - M AH0 N +HEYMAN'S HH EY1 - M AH0 N Z +HEYMANN HH EY1 - M AH0 N +HEYMANN'S HH EY1 - M AH0 N Z +HEYN HH EY1 N +HEYNE HH EY1 N +HEYS HH EY1 Z +HEYSE HH EY1 S +HEYSER HH EY1 - Z ER0 +HEYWARD HH EY1 - W ER0 D +HEYWOOD HH EY1 - W UH2 D +HEZBOLLAH HH EH0 Z - B AA1 - L AH0 +HEZBOLLAH'S HH EH0 Z - B AA1 - L AH0 Z +HEZBOLLAH'S(2) HH EH1 Z - B AH0 - L AH0 Z +HEZBOLLAH(2) HH EH1 Z - B AH0 - L AH0 +HEZBULLAH HH EH0 Z - B AA1 - L AH0 +HEZBULLAH(2) HH EH1 Z - B AH0 - L AH0 +HFDF EY1 - CH EH1 F - D IY1 - EH1 F +HGH EY1 CH - JH IY1 - EY1 CH +HI HH AY1 +HI-FI HH AY1 - F AY1 +HIAA EY1 - CH AY1 - EY1 - EY1 +HIAASEN HH AY1 - AA0 - S IH0 N +HIALEAH HH AY2 - AH0 - L IY1 - AH0 +HIAM HH AY1 - AH0 M +HIATT HH AY1 - AH0 T +HIATT'S HH AY1 - AH0 T S +HIATUS HH AY0 - EY1 - T AH0 S +HIAWATHA HH AY2 - AH0 - W AA1 - TH AH0 +HIBAAQ HH AY1 - B AE2 K +HIBACHI HH AH0 - B AA1 - CH IY0 +HIBACHI(2) HH IY0 - B AA1 - CH IY0 +HIBBARD HH IH1 - B ER0 D +HIBBEN HH IH1 - B AH0 N +HIBBERD HH IH1 - B ER0 D +HIBBERT HH IH1 - B ER0 T +HIBBETT HH IH1 - B IH0 T +HIBBITTS HH IH1 - B IH0 T S +HIBBLER HH IH1 - B L ER0 +HIBBS HH IH1 B Z +HIBDON HH IH1 B - D AH0 N +HIBERNATE HH AY1 - B ER0 - N EY2 T +HIBERNATION HH AY2 - B ER0 - N EY1 - SH AH0 N +HIBERNIA HH AY2 - B ER1 - N IY0 - AH0 +HIBERNIA'S HH AY2 - B ER1 - N IY0 - AH0 Z +HIBLER HH IH1 - B L ER0 +HIBMA HH IH1 B - M AH0 +HIBNER HH IH1 B - N ER0 +HIBOR HH AY1 - B ER0 +HIBSHMAN HH IH1 B SH - M AH0 N +HICCUP HH IH1 - K AH0 P +HICCUPS HH IH1 - K AH0 P S +HICE HH AY1 S +HICHENS HH IH1 - K AH0 N Z +HICK HH IH1 K +HICKAM HH IH1 - K AH0 M +HICKCOX HH IH1 - K AA0 K S +HICKEL HH IH1 - K AH0 L +HICKEN HH IH1 - K AH0 N +HICKERSON HH IH1 - K ER0 - S AH0 N +HICKEY HH IH1 - K IY0 +HICKLE HH IH1 - K AH0 L +HICKLIN HH IH1 - K L IH0 N +HICKLING HH IH1 - K L IH0 NG +HICKMAN HH IH1 K - M AH0 N +HICKMON HH IH1 K - M AH0 N +HICKOK HH IH1 - K AH0 K +HICKORIES HH IH1 - K ER0 - IY0 Z +HICKORY HH IH1 - K ER0 - IY0 +HICKORY(2) HH IH1 - K R IY0 +HICKOX HH IH1 - K AA0 K S +HICKS HH IH1 K S +HICKSON HH IH1 K - S AH0 N +HICKSVILLE HH IH1 K S - V IH2 L +HID HH IH1 D +HIDALGO HH AH0 - D AE1 L - G OW2 +HIDDEN HH IH1 - D AH0 N +HIDE HH AY1 D +HIDEAKI HH IY2 - D EY0 - AA1 - K IY0 +HIDEAWAY HH AY1 - D AH0 - W EY2 +HIDEBOUND HH AY1 D - B AW2 N D +HIDEO HH IH0 - D EY1 - OW0 +HIDEOUS HH IH1 - D IY0 - AH0 S +HIDEOUSLY HH IH1 - D IY0 - AH0 S - L IY0 +HIDEOUT HH AY1 - D AW2 T +HIDEOUTS HH AY1 - D AW2 T S +HIDER HH AY1 - D ER0 +HIDES HH AY1 D Z +HIDING HH AY1 - D IH0 NG +HIDY HH AY1 - D IY0 +HIEB HH IY1 B +HIEBER HH IY1 - B ER0 +HIEBERT HH IY1 - B ER0 T +HIEGEL HH IY1 - G AH0 L +HIEMS HH IY1 M Z +HIEMSTRA HH IY1 M - S T R AH0 +HIER HH AY1 - ER0 +HIERARCHICAL HH AY2 - R AA1 R - K AH0 - K AH0 L +HIERARCHIES HH AY1 - R AA2 R - K IY0 Z +HIERARCHY HH AY1 - ER0 - AA2 R - K IY0 +HIERARCHY(2) HH AY1 - R AA2 R - K IY0 +HIERHOLZER HH AY1 R - HH OW0 L - Z ER0 +HIEROGLYPHIC HH AY2 - R OW0 - G L IH1 - F IH0 K +HIEROGLYPHICS HH AY2 - R OW0 - G L IH1 - F IH0 K S +HIERS HH IY1 R Z +HIESTAND HH IY1 - S T AH0 N D +HIESTER HH AY1 - IH0 - S T ER0 +HIETALA HH AY1 - T AH0 - L AH0 +HIETPAS HH AY1 T - P AH0 Z +HIETT HH AY1 T +HIGA HH IY1 - G AH0 +HIGASHI HH IY0 - G AA1 - SH IY0 +HIGBEE HH IH1 G - B IY2 +HIGBIE HH IH1 G - B IY0 +HIGBY HH IH1 G - B IY0 +HIGDON HH IH1 G - D AH0 N +HIGGASON HH IH1 - G AH0 - S AH0 N +HIGGENBOTHAM HH IH1 - G IH0 N - B AH0 - TH AH0 M +HIGGENS HH IH1 - G AH0 N Z +HIGGERSON HH IH1 - G ER0 - S AH0 N +HIGGINBOTHAM HH IH0 - G IH0 N - B AA1 - TH AH0 M +HIGGINBOTTOM HH IH0 - G IH0 N - B AA1 - T AH0 M +HIGGINS HH IH1 - G IH0 N Z +HIGGINSON HH IH1 - G IH0 N - S AH0 N +HIGGS HH IH1 G Z +HIGH HH AY1 +HIGH-SPIRITED HH AY1 - S P IH1 - R IH0 - D IH0 D +HIGH-SPIRITEDNESS HH AY1 - S P IH1 - R IH0 - D IH0 D - N AH0 S +HIGHAM HH AY1 - AH0 M +HIGHBERGER HH AY1 - B ER0 - G ER0 +HIGHBOY HH AY1 - B OY2 +HIGHBROW HH AY1 - B R AW2 +HIGHBROWS HH AY1 - B R AW2 Z +HIGHER HH AY1 - ER0 +HIGHEST HH AY1 - AH0 S T +HIGHFALUTIN HH AY2 - F AH0 - L UW1 - T IH0 N +HIGHFIELD HH AY1 - F IY2 L D +HIGHFILL HH AY1 - F IH2 L +HIGHFLIER HH AY1 - F L AY2 - ER0 +HIGHFLIERS HH AY1 - F L AY2 - ER0 Z +HIGHFLYING HH AY1 - F L AY2 - IH0 NG +HIGHLAND HH AY1 - L AH0 N D +HIGHLANDER HH AY1 - L AE2 N - D ER0 +HIGHLANDERS HH AY1 - L AE2 N - D ER0 Z +HIGHLANDS HH AY1 - L AH0 N D Z +HIGHLEY HH AY1 - L IY0 +HIGHLIGHT HH AY1 - L AY2 T +HIGHLIGHTED HH AY1 - L AY2 - T IH0 D +HIGHLIGHTING HH AY1 - L AY2 - T IH0 NG +HIGHLIGHTS HH AY1 - L AY2 T S +HIGHLY HH AY1 - L IY0 +HIGHMAN HH AY1 - M AH0 N +HIGHNESS HH AY1 - N AH0 S +HIGHOSIN HH AY1 - OW0 - S IH0 N +HIGHRISE HH AY1 - R AY2 Z +HIGHRISES HH AY1 - R AY2 - Z IH0 Z +HIGHS HH AY1 Z +HIGHSCHOOL HH AY1 - S K UW2 L +HIGHSMITH HH AY1 - S M IH2 TH +HIGHSPEED HH AY1 - S P IY2 D +HIGHT HH AY1 T +HIGHTECH HH AY1 - T EH2 K +HIGHTOWER HH AY1 - T AW2 - ER0 +HIGHTOWER'S HH AY1 - T AW2 - ER0 Z +HIGHWAY HH AY1 - W EY2 +HIGHWAY'S HH AY1 - W EY2 Z +HIGHWAYS HH AY1 - W EY2 Z +HIGHYIELD HH AY1 - Y IY1 L D +HIGINBOTHAM HH IH1 - G IH0 N - B AH0 - TH AH0 M +HIGLEY HH IH1 G - L IY0 +HIGMAN HH IH1 G - M AH0 N +HIGNIGHT HH IH1 G - N AY2 T +HIGNITE HH IH1 G - N AY2 T +HIGUCHI HH IY0 - G UW1 - CH IY0 +HIGUERA HH IY0 - G EH1 - R AH0 +HIJACK HH AY1 - JH AE2 K +HIJACKED HH AY1 - JH AE2 K T +HIJACKER HH AY1 - JH AE2 - K ER0 +HIJACKERS HH AY1 - JH AE2 - K ER0 Z +HIJACKING HH AY1 - JH AE2 - K IH0 NG +HIJACKINGS HH AY1 - JH AE2 - K IH0 NG Z +HIJINKS HH IH1 - JH IH0 NG K S +HIKE HH AY1 K +HIKED HH AY1 K T +HIKER HH AY1 - K ER0 +HIKERS HH AY1 - K ER0 Z +HIKES HH AY1 K S +HIKING HH AY1 - K IH0 NG +HILAND HH IH1 - L AH0 N D +HILARIA HH IY0 - L AA1 - R IY0 - AH0 +HILARIO HH IY0 - L AA1 - R IY0 - OW0 +HILARIOUS HH IH0 - L EH1 - R IY0 - AH0 S +HILARIOUSLY HH IH0 - L EH1 - R IY0 - AH0 S - L IY0 +HILARITY HH IH0 - L EH1 - R AH0 - T IY0 +HILARY HH IH1 - L ER0 - IY0 +HILB HH IH1 L B +HILBERG HH IH1 L - B ER0 G +HILBERT HH IH1 L - B ER0 T +HILBORN HH IH1 L - B ER0 N +HILBUN HH IH1 L - B AH0 N +HILBURN HH IH1 L - B ER0 N +HILD HH IH1 L D +HILDA HH IH1 L - D AH0 +HILDE HH IH1 L D +HILDEBRAN HH IH1 L - D IH0 - B R AH0 N +HILDEBRAND HH IH1 L - D IH0 - B R AE2 N D +HILDEBRANDT HH IH1 L - D IH0 - B R AH0 N T +HILDEBRANT HH IH1 L - D IH0 - B R AH0 N T +HILDEGARD HH IH1 L - D AH0 - G AA2 R D +HILDEGARDE HH IH1 L - D IH0 - G AA2 R D +HILDEGARDES HH IH1 L - D AH0 - G AA2 R D Z +HILDEMAR HH IH1 L - D IH0 - M ER0 +HILDEN HH AY1 L - D AH0 N +HILDENBRAND HH IH1 L - D IH0 N - B R AH0 N D +HILDENBRAND(2) HH IH1 L - D AH0 N - B R AE0 N D +HILDER HH IH1 L - D ER0 +HILDERBRAND HH IH1 L - D ER0 - B R AH0 N D +HILDERBRANDT HH IH1 L - D ER0 - B R AH0 N T +HILDIE HH AY1 L - D IY0 +HILDITCH HH IH1 L - D IH0 CH +HILDRETH HH IH1 L - D R IH0 TH +HILDUM HH IH1 L - D AH0 M +HILDY HH IH1 L - D IY0 +HILE HH AY1 L +HILEMAN HH AY1 L - M AH0 N +HILEMON HH AY1 L - M AH0 N +HILEMON'S HH AY1 L - M AH0 N Z +HILER HH AY1 - L ER0 +HILES HH AY1 L Z +HILEY HH IH1 - L IY0 +HILFIGER HH IH1 L - F AY0 - G ER0 +HILFIGER HH IH1 L - F IH0 - G ER0 +HILFIKER HH IH1 L - F IH0 - K ER0 +HILGART HH IH1 L - G AA2 R T +HILGEMAN HH IH1 L G - M AH0 N +HILGENBERG HH IH1 L - G AH0 N - B ER0 G +HILGENDORF HH IH1 L - G IH0 N - D AO0 R F +HILGER HH IH1 L - G ER0 +HILGERS HH IH1 L - G ER0 Z +HILGERT HH IH1 L - G ER0 T +HILINSKI HH IH0 - L IH1 N - S K IY0 +HILKE HH IH1 L - K AH0 +HILKER HH IH1 L - K ER0 +HILL HH IH1 L +HILL'S HH IH1 L Z +HILLA HH IH1 - L AH0 +HILLARD HH IH1 - L ER0 D +HILLARD'S HH IH1 - L ER0 D Z +HILLARY HH IH1 - L ER0 - IY0 +HILLARY'S HH IH1 - L ER0 - IY0 Z +HILLAS HH IH1 - L AH0 S +HILLBILLIES HH IH1 L - B IH2 - L IY0 Z +HILLBILLY HH IH1 L - B IH0 - L IY0 +HILLCREST HH IH1 L - K R EH0 S T +HILLE HH IH1 L +HILLEARY HH IH1 - L ER0 - IY0 +HILLEBRAND HH IH1 - L IH0 - B R AH0 N D +HILLEGAS HH IH1 - L IH0 - G AH0 Z +HILLEGASS HH IH1 - L IH0 - G AH0 S +HILLEL HH IH2 - L EH1 L +HILLEN HH IH1 - L AH0 N +HILLENBRAND HH IH1 - L AH0 N - B R AE2 N D +HILLENBRAND'S HH IH1 - L AH0 N - B R AE2 N D Z +HILLENBURG HH IH1 - L AH0 N - B ER0 G +HILLER HH IH1 - L ER0 +HILLERMAN HH IH1 - L ER0 - M AH0 N +HILLERY HH IH1 - L ER0 - IY0 +HILLESHEIM HH IH1 - L IH0 S - HH AY0 M +HILLESTAD HH IH1 - L IH0 - S T AH0 D +HILLEY HH IH1 - L IY0 +HILLHAVEN HH IH1 L - HH EY2 - V AH0 N +HILLHAVEN'S HH IH1 L - HH EY2 - V AH0 N Z +HILLHOUSE HH IH1 L - HH AW2 S +HILLIARD HH IH1 L - Y AA0 R D +HILLIER HH IH1 - L IY0 - ER0 +HILLIGOSS HH IH1 - L IH0 - G AA0 S +HILLIKER HH IH1 - L AY0 - K ER0 +HILLIKER(2) HH IH1 - L IH0 - K ER0 +HILLIN HH IH1 - L IH0 N +HILLING HH IH1 - L IH0 NG +HILLIS HH IH1 - L IH0 S +HILLMAN HH IH1 L - M AE2 N +HILLMANN HH IH1 L - M AH0 N +HILLMER HH IH1 L - M ER0 +HILLOCK HH IH1 - L AH0 K +HILLS HH IH1 L Z +HILLS' HH IH1 L Z +HILLSBORO HH IH1 L Z - B ER0 - OW0 +HILLSBOROUGH HH IH1 L Z - B ER0 - OW0 +HILLSDALE HH IH1 L Z - D EY2 L +HILLSDOWN HH IH1 L Z - D AW2 N +HILLSIDE HH IH1 L - S AY2 D +HILLSIDES HH IH1 L - S AY2 D Z +HILLSMAN HH IH1 L S - M AH0 N +HILLSON HH IH1 L - S AH0 N +HILLSTROM HH IH1 L - S T R AH0 M +HILLTOP HH IH1 L - T AA2 P +HILLTOPS HH IH1 L - T AA2 P S +HILLY HH IH1 - L IY0 +HILLYARD HH IH1 L - Y AA2 R D +HILLYER HH IH1 - L IY0 - ER0 +HILMA HH IH1 L - M AH0 +HILMER HH IH1 L - M ER0 +HILMES HH IH1 L M Z +HILO HH IY1 - L OW0 +HILPERT HH IH1 L - P ER0 T +HILSABECK HH IH1 L - S AH0 - B EH2 K +HILSCHER HH IH1 L - SH ER0 +HILSINGER HH IH1 L - S IH0 - NG ER0 +HILSMAN HH IH1 L Z - M AH0 N +HILSON HH IH1 L - S AH0 N +HILT HH IH1 L T +HILTNER HH IH1 L T - N ER0 +HILTON HH IH1 L - T AH0 N +HILTON'S HH IH1 L - T AH0 N Z +HILTS HH IH1 L T S +HILTUNEN HH IH1 L - T AH0 - N AH0 N +HILTY HH IH1 L - T IY0 +HILTZ HH IH1 L T S +HILYARD HH AH0 L - Y AA1 R D +HILYER HH IH1 - L IY0 - ER0 +HIM HH IH1 M +HIM(2) IH0 M +HIMALAYA HH IH2 - M AH0 - L AY1 - AH0 +HIMALAYA(2) HH IH2 - M AH0 - L EY1 - AH0 +HIMALAYAN HH IH2 - M AH0 - L EY1 - AH0 N +HIMALAYAN(2) HH IH2 - M AH0 - L AY1 - AH0 N +HIMALAYAS HH IH2 - M AH0 - L AY1 - AH0 S +HIMALAYAS(2) HH IH2 - M AH0 - L EY1 - AH0 S +HIME HH AY1 M +HIMEBAUGH HH IH1 - M IH0 - B AO0 +HIMEL HH IH1 - M AH0 L +HIMES HH AY1 M Z +HIMMEL HH IH1 - M AH0 L +HIMMELBERGER HH IH1 - M AH0 L - B ER0 - G ER0 +HIMMELFARB HH IH1 - M AH0 L - F AA2 R B +HIMMELSBACH HH IH1 - M IH0 L S - B AA0 K +HIMMELSTEIN HH IH1 - M AH0 L - S T AY0 N +HIMMELSTEIN(2) HH IH1 - M AH0 L - S T IY0 N +HIMMLER HH IH1 M - L ER0 +HIMONT HH IH1 - M AH0 N T +HIMONT(2) HH AY1 - M AH0 N T +HIMSELF HH IH0 M - S EH1 L F +HINCH HH IH1 N CH +HINCHCLIFF HH IH1 N CH - K L IH0 F +HINCHCLIFFE HH IH1 N CH - K L IH0 F +HINCHEY HH IH1 N - CH IY0 +HINCHLIFFE HH IH1 N - K L IH0 F +HINCHMAN HH IH1 NG K - M AH0 N +HINCK HH IH1 NG K +HINCKLEY HH IH1 NG - K L IY0 +HIND HH AY1 N D +HINDE HH IH1 N D +HINDELONG HH IH1 N - D AH0 - L AO0 NG +HINDER HH IH1 N - D ER0 +HINDERED HH IH1 N - D ER0 D +HINDERER HH IH1 N - D ER0 - ER0 +HINDERING HH IH1 N - D ER0 - IH0 NG +HINDERLITER HH IH1 N - D ER0 - L IY0 - T ER0 +HINDERMAN HH AY1 N - D ER0 - M AH0 N +HINDERS HH IH1 N - D ER0 Z +HINDES HH IH1 N D Z +HINDI HH IH1 N - D IY0 +HINDLE HH IH1 N - D AH0 L +HINDLEY HH IH1 N D - L IY0 +HINDMAN HH AY1 N D - M AH0 N +HINDQUARTER HH AY1 N D - K W AO2 R - T ER0 +HINDQUARTER(2) HH AY1 N D - K AO2 R - T ER0 +HINDQUARTERS HH AY1 N D - K W AO2 R - T ER0 Z +HINDQUARTERS(2) HH AY1 N D - K AO2 R - T ER0 Z +HINDRANCE HH IH1 N - D R AH0 N S +HINDRANCES HH IH1 N - D R AH0 N - S IH0 Z +HINDS HH AY1 N D Z +HINDSIGHT HH AY1 N D - S AY2 T +HINDSIGHT'S HH AY1 N D - S AY2 T S +HINDSIGHT'S(2) HH AY1 N - S AY2 T S +HINDSIGHT(2) HH AY1 N - S AY2 T +HINDU HH IH1 N - D UW2 +HINDUISM HH IH1 N - JH UW0 - IH2 - Z AH0 M +HINDUS HH IH1 N - D UW2 Z +HINDUSTAN HH IH1 N - D UW0 - S T AE2 N +HINE HH AY1 N +HINEBAUGH HH IH1 - N IH0 - B AO0 +HINELINE HH IH1 - N IH0 - L AY2 N +HINELY HH AY1 N - L IY0 +HINEMAN HH AY1 N - M AH0 N +HINER HH AY1 - N ER0 +HINERMAN HH AY1 - N ER0 - M AH0 N +HINES HH AY1 N Z +HINESLEY HH IH1 - N IH0 S - L IY0 +HINESLEY(2) HH AY1 N Z - L IY0 +HINEY HH IH1 - N IY0 +HING HH IH1 NG +HINGE HH IH1 N JH +HINGED HH IH1 N JH D +HINGER HH IH1 N - JH ER0 +HINGES HH IH1 N - JH IH0 Z +HINGHAM HH IH1 - NG AH0 M +HINGLE HH IH1 NG - G AH0 L +HINGST HH IH1 NG S T +HINGSTON HH IH1 NG - S T AH0 N +HINK HH IH1 NG K +HINKEL HH IH1 NG - K AH0 L +HINKELMAN HH IH1 NG - K AH0 L - M AH0 N +HINKLE HH IH1 NG - K AH0 L +HINKLEY HH IH1 NG - K L IY0 +HINKSON HH IH1 NG K - S AH0 N +HINMAN HH IH1 N - M AH0 N +HINMEN HH IH1 N - M EH0 N +HINN HH IH1 N +HINNANT HH IH1 - N AH0 N T +HINNENKAMP HH IH1 - N IH0 N - K AE0 M P +HINNERS HH IH1 - N ER0 Z +HINNY HH IH1 - N IY0 +HINO HH IY1 - N OW0 +HINOJOS HH IY0 - N OW1 - Y OW0 Z +HINOJOSA HH IY0 - N OW0 - JH OW1 - S AH0 +HINOTE HH IH0 - N OW1 T +HINRICHS HH IH1 - N R IH0 K S +HINRICHSEN HH IH1 - N R IH0 K - S AH0 N +HINSCH HH IH1 N SH +HINSDALE HH IH1 N S - D EY2 L +HINSHAW HH IH1 N - SH AO2 +HINSLEY HH IH1 N S - L IY0 +HINSON HH IH1 N - S AH0 N +HINT HH IH1 N T +HINTED HH IH1 N - T AH0 D +HINTED(2) HH IH1 N - T IH0 D +HINTED(3) HH IH1 - N IH0 D +HINTERLAND HH IH1 N - T ER0 - L AE2 N D +HINTERLANDS HH IH1 N - T ER0 - L AE2 N D Z +HINTING HH IH1 N - T IH0 NG +HINTON HH IH1 N - T AH0 N +HINTS HH IH1 N T S +HINTZ HH IH1 N T S +HINTZE HH IH1 N T Z +HINZ HH IH1 N Z +HINZACK HH IH1 N - Z AE0 K +HINZE HH IH1 N Z +HINZMAN HH IH1 N Z - M AH0 N +HIOTT HH AY1 - AH0 T +HIP HH IH1 P +HIP-POCKET HH IH1 P - P AA1 - K AH0 T +HIPBONE HH IH1 P - B OW1 N +HIPBONES HH IH1 P - B OW1 N Z +HIPKINS HH IH1 P - K IH0 N Z +HIPOLITO IY1 - P OW0 - L IY1 - T OW0 +HIPP HH IH1 P +HIPPE HH IH1 P +HIPPEN HH IH1 - P AH0 N +HIPPENSTEEL HH IH1 - P IH0 N - S T IY0 L +HIPPER HH IH1 - P ER0 +HIPPERT HH IH1 - P ER0 T +HIPPEST HH IH1 - P AH0 S T +HIPPIE HH IH1 - P IY0 +HIPPIES HH IH1 - P IY0 Z +HIPPLE HH IH1 - P AH0 L +HIPPLER HH IH1 P - L ER0 +HIPPO HH IH1 - P OW0 +HIPPOCRATES HH IH1 - P AH0 - K R EY2 T S +HIPPOCRATES(2) HH IH0 - P AO1 - K R AH0 - T IY0 Z +HIPPOCRATIC HH IH0 - P AH0 - K R AE1 - T IH0 K +HIPPODROME HH IH1 - P AH0 - D R OW2 M +HIPPOLYTUS HH AH0 - P AA1 - L AH0 - T AH0 S +HIPPOPOTAMUS HH IH2 - P AH0 - P AA1 - T AH0 - M AH0 S +HIPPOPOTAMUSES HH IH2 - P AH0 - P AA1 - T AH0 - M AH0 - S IH0 Z +HIPPOS HH IH1 - P OW0 Z +HIPPS HH IH1 P S +HIPS HH IH1 P S +HIPSHER HH IH1 P - SH ER0 +HIPSKIND HH IH1 P - S K IH0 N D +HIPWELL HH IH1 P - W EH2 L +HIRABAYASHI HH IH0 - R AH0 - B AY0 - AA1 - SH IY0 +HIRADIN HH IH0 - R AA1 - D IH0 N +HIRAI HH IH0 - R AA1 - IY0 +HIRAM HH AY1 - R AH0 M +HIRANO HH IH0 - R AA1 - N OW0 +HIRATA HH IH0 - R AA1 - T AH0 +HIRAYAMA HH IH0 - R AA0 - Y AA1 - M AH0 +HIRD HH ER1 D +HIRE HH AY1 - ER0 +HIRE(2) HH AY1 R +HIRED HH AY1 - ER0 D +HIRES HH AY1 - ER0 Z +HIRES(2) HH AY1 R Z +HIRIART HH IH1 - R IY0 - AA0 R T +HIRING HH AY1 - R IH0 NG +HIRINGS HH AY1 - R IH0 NG Z +HIRN HH ER1 N +HIRO HH IH1 - R OW0 +HIROAKI HH IH2 - R OW0 - AA1 - K IY0 +HIROHITO HH IH2 - R OW0 - HH IY1 - T OW2 +HIROHITO'S HH IH2 - R OW0 - HH IY1 - T OW2 Z +HIROHITO'S(2) HH IH2 - R AH0 - HH IY1 - T OW2 Z +HIROHITO(2) HH IH2 - R AH0 - HH IY1 - T OW2 +HIROMASA HH IH2 - R OW0 - M AA1 - S AH0 +HIRONS HH AO1 - R AH0 N Z +HIROSAKAMOKI HH IH2 - R AH0 - S AE0 - K AH0 - M OW1 - K IY0 +HIROSAKIMA HH IH2 - R AH0 - S AH0 - K IY1 - M AH0 +HIROSE HH IH0 - R OW1 - S EY0 +HIROSHI HH IH0 - R OW1 - SH IY0 +HIROSHIMA HH IH2 - R OW0 - SH IY1 - M AH0 +HIROSHIMA(2) HH IH2 - R OW1 - SH IH0 - M AH0 +HIROTA HH IH0 - R OW1 - T AH0 +HIROYUKI HH IH2 - R OW0 - Y UW1 - K IY0 +HIRSCH HH ER1 SH +HIRSCH'S HH ER1 - SH IH0 Z +HIRSCHBERG HH ER1 SH - B ER0 G +HIRSCHFELD HH ER1 SH - F EH0 L D +HIRSCHFIELD HH ER1 S K - F IY0 L D +HIRSCHHORN HH ER1 SH - HH ER0 N +HIRSCHI HH IH1 R S - K IY0 +HIRSCHMAN HH ER1 SH - M AH0 N +HIRSCHMANN HH ER1 SH - M AH0 N +HIRSCHY HH ER1 - SH IY0 +HIRSH HH ER1 SH +HIRSHBERG HH ER1 SH - B ER0 G +HIRSHFIELD HH ER1 SH - F IY0 L D +HIRSHHORN HH ER1 SH - HH AO2 R N +HIRSHHORN(2) HH ER1 - SH AO2 R N +HIRSHMAN HH ER1 SH - M AH0 N +HIRST HH ER1 S T +HIRT HH ER1 T +HIRTH HH ER1 TH +HIRTLE HH ER1 - T AH0 L +HIRTZ HH ER1 T S +HIRULOG HH IH1 - R UW2 - L AA2 G +HIRZEL HH ER1 - Z AH0 L +HIS HH IH1 Z +HIS(2) HH IH0 Z +HISADA HH IH0 - S AA1 - D AH0 +HISAO HH IH0 - S AA1 - OW0 +HISAW HH AY1 - S AO0 +HISCOCK HH IH1 - S K AH0 K +HISCOX HH IH1 S - K AA0 K S +HISE HH AY1 Z +HISEL HH IH1 - S AH0 L +HISER HH AY1 - Z ER0 +HISEY HH IH1 - S IY0 +HISHAM HH IH1 - SH AH0 M +HISLE HH AY1 - AH0 L +HISLOP HH IH1 S - L AH0 P +HISPANIC HH IH0 - S P AE1 - N IH0 K +HISPANICS HH IH0 - S P AE1 - N IH0 K S +HISPANO HH IH0 - S P AA1 - N OW0 +HISPANOIL HH IH1 - S P AH0 - N OY2 L +HISS HH IH1 S +HISS'S HH IH1 - S IH0 Z +HISSED HH IH1 S T +HISSELF HH IH2 - S EH1 L F +HISSES HH IH1 - S IH0 Z +HISSING HH IH1 - S IH0 NG +HISSONG HH IH1 - S AO2 NG +HISTADRUT HH IH1 - S T AH0 - D R AH0 T +HISTAMINE HH IH1 - S T AH0 - M IY2 N +HISTIDINE HH IH1 - S T AH0 - D IY2 N +HISTOGRAM HH IH1 - S T AH0 - G R AE2 M +HISTOGRAMS HH IH1 - S T AH0 - G R AE2 M Z +HISTOLOGY HH IH0 - S T AA1 - L AH0 - JH IY0 +HISTORIAN HH IH0 - S T AO1 - R IY0 - AH0 N +HISTORIANS HH IH0 - S T AO1 - R IY0 - AH0 N Z +HISTORIC HH IH0 - S T AO1 - R IH0 K +HISTORICAL HH IH0 - S T AO1 - R IH0 - K AH0 L +HISTORICALLY HH IH0 - S T AO1 - R IH0 - K AH0 - L IY0 +HISTORICALLY(2) HH IH0 - S T AO1 - R IH0 K - L IY0 +HISTORIES HH IH1 - S T ER0 - IY0 Z +HISTORIES(2) HH IH1 S - T R IY0 Z +HISTORIOGRAPHY HH IH0 - S T AO2 - R IY0 - AA1 - G R AH0 - F IY0 +HISTORY HH IH1 - S T ER0 - IY0 +HISTORY'S HH IH1 - S T ER0 - IY0 Z +HISTORY'S(2) HH IH1 S - T R IY0 Z +HISTORY(2) HH IH1 S - T R IY0 +HISTRIONIC HH IH2 S - T R IY0 - AA1 - N IH0 K +HISTRIONICS HH IH2 S - T R IY0 - AA1 - N IH0 K S +HIT HH IH1 T +HITACHI HH IH0 - T AA1 - CH IY0 +HITCH HH IH1 CH +HITCHCOCK HH IH1 CH - K AA2 K +HITCHCOCK'S HH IH1 CH - K AA2 K S +HITCHED HH IH1 CH T +HITCHENS HH IH1 - CH AH0 N Z +HITCHES HH IH1 - CH IH0 Z +HITCHHIKE HH IH1 CH - HH AY2 K +HITCHHIKING HH IH1 CH - HH AY2 - K IH0 NG +HITCHING HH IH1 - CH IH0 NG +HITCHINGS HH IH1 - CH IH0 NG Z +HITCHINS HH IH1 - CH IH0 N Z +HITCHMAN HH IH1 CH - M AH0 N +HITCHNER HH IH1 CH - N ER0 +HITE HH AY1 T +HITES HH AY1 T S +HITHER HH IH1 - DH ER0 +HITHERTO HH IH1 - DH ER2 - T UW1 +HITLER HH IH1 T - L ER0 +HITLER'S HH IH1 T - L ER0 Z +HITMAN HH IH1 T - M AE2 N +HITOSHI HH IH0 - T OW1 - SH IY0 +HITS HH IH1 T S +HITSCHLER HH IH1 T S - L ER0 +HITSCHLER(2) HH IH1 CH - L ER0 +HITSMAN HH IH1 T S - M AH0 N +HITSON HH IH1 T - S AH0 N +HITT HH IH1 T +HITTER HH IH1 - T ER0 +HITTERS HH IH1 - T ER0 Z +HITTING HH IH1 - T IH0 NG +HITTITE HH IH1 - T AY0 T +HITTITE(2) HH IH1 - T AY2 T +HITTLE HH IH1 - T AH0 L +HITTNER HH IH1 T - N ER0 +HITTY HH IH1 - T IY0 +HITZ HH IH1 T S +HITZEMAN HH IH1 T S - M AH0 N +HIVE HH AY1 V +HIVELY HH AY1 V - L IY0 +HIVES HH AY1 V Z +HIWAY HH AY1 - W EY2 +HIX HH IH1 K S +HIXENBAUGH HH IH0 G - Z EH1 N - B AO0 +HIXON HH IH1 K - S AH0 N +HIXSON HH IH1 K - S AH0 N +HIZBOLLAH HH IH0 Z - B OW1 - L AH0 +HIZER HH AY1 - Z ER0 +HJELM HH AH0 - JH EH1 L M +HJELM(2) JH EH1 L M +HJERPE HH AH0 - JH ER1 P +HJERPE(2) JH ER1 P +HJORT HH AH0 - JH AO1 R T +HJORT(2) JH AO1 R T +HLAD HH L AE1 D +HLAD(2) HH AH0 - L AE1 D +HLADIK HH L AE1 - D IH0 K +HLADIK(2) HH AH0 - L AE1 - D IH0 K +HLADKY HH L AE1 D - K IY0 +HLADKY(2) HH AH0 - L AE1 D - K IY0 +HLAVAC HH L AA1 - V AH0 K +HLAVAC(2) HH AH0 - L AA1 - V AH0 K +HLAVACEK HH L AA1 - V AH0 - CH EH0 K +HLAVACEK(2) HH AH0 - L AA1 - V AH0 - CH EH0 K +HLAVATY HH L AH0 - V AA1 - T IY0 +HLAVATY(2) HH AH0 - L AH0 - V AA1 - T IY0 +HMMM HH M +HMMM(2) HH AH1 M +HMONG M AO1 NG +HMONG(2) HH M AO1 NG +HMONG(3) HH AH0 - M AO1 NG +HNAT HH N AE1 T +HNAT(2) HH AH0 - N AE1 T +HNAT(3) EY1 CH - N AE1 T +HNAT(4) EY1 - CH EH1 - N EY1 - T IY1 +HO HH OW1 +HO'S HH OW1 Z +HOADLEY HH OW1 D - L IY0 +HOAG HH OW1 G +HOAGIE HH OW1 - G IY0 +HOAGLAND HH OW1 G - L AH0 N D +HOAGLIN HH OW1 - G L IH0 N +HOAGLUND HH OW1 G - L AH0 N D +HOAGY HH OW1 - G IY0 +HOAK HH OW1 K +HOANG HH OW1 NG +HOAR HH AO1 R +HOARD HH AO1 R D +HOARDED HH AO1 R - D IH0 D +HOARDING HH AO1 R - D IH0 NG +HOARDS HH AO1 R D Z +HOARE HH AO1 R +HOARSE HH AO1 R S +HOARSENESS HH AO1 R S - N AH0 S +HOARY HH AO1 - R IY0 +HOAX HH OW1 K S +HOAXES HH OW1 K - S IH0 Z +HOB HH AA1 B +HOBACK HH OW1 - B AE2 K +HOBAN HH OW1 - B AH0 N +HOBART HH OW1 - B AA2 R T +HOBAUGH HH AA1 - B AO0 +HOBBES HH AA1 - B IY0 Z +HOBBES(2) HH AA1 B Z +HOBBIE HH AA1 - B IY0 +HOBBIES HH AA1 - B IY0 Z +HOBBING HH AA1 - B IH0 NG +HOBBINS HH AA1 - B IH0 N Z +HOBBLE HH AA1 - B AH0 L +HOBBLED HH AA1 - B AH0 L D +HOBBLES HH AA1 - B AH0 L Z +HOBBLING HH AA1 - B AH0 L - IH0 NG +HOBBLING(2) HH AA1 - B L IH0 NG +HOBBS HH AA1 B Z +HOBBY HH AA1 - B IY0 +HOBBYIST HH AA1 - B IY0 - IH0 S T +HOBBYISTS HH AA1 - B IY0 - IH0 S T S +HOBBYISTS(2) HH AA1 - B IY0 - IH0 S S +HOBBYISTS(3) HH AA1 - B IY0 - IH0 S +HOBDAY HH AA1 B - D EY2 +HOBDY HH AA1 B - D IY0 +HOBEN HH AA1 - B AH0 N +HOBERG HH OW1 - B ER0 G +HOBERMAN HH OW1 - B ER0 - M AH0 N +HOBERT HH AA1 - B ER0 T +HOBGOOD HH AA1 B - G UH2 D +HOBIN HH OW1 - B IH0 N +HOBLIT HH AA1 - B L IH0 T +HOBNAIL HH AA1 B - N EY2 L +HOBNOB HH AA1 B - N AA2 B +HOBNOBBING HH AA1 B - N AA2 - B IH0 NG +HOBO HH OW1 - B OW0 +HOBOES HH OW1 - B OW0 Z +HOBOKEN HH OW1 - B OW0 - K AH0 N +HOBS HH AA1 B Z +HOBSBAWM HH AA0 B - S B AO1 M +HOBSON HH AA1 B - S AH0 N +HOBSON'S HH AA1 B - S AH0 N Z +HOC HH AA1 K +HOCEVAR HH OW0 - S EY0 - V AA1 R +HOCH HH AA1 K +HOCHBERG HH AA1 K - B ER0 G +HOCHBRUECKNER HH AA1 K - B R AH2 K - N ER0 +HOCHHALTER HH AA1 K - HH AH0 L - T ER0 +HOCHHAUSER HH AA1 K - HH AW2 - Z ER0 +HOCHMAN HH AA1 K - M AH0 N +HOCHMUTH HH AA1 K - M UW2 TH +HOCHSTATTER HH AA1 K - S T AH0 - T ER0 +HOCHSTEDLER HH AA1 K - S T IH0 - D AH0 L - ER0 +HOCHSTEDLER(2) HH AA1 K - S T EH0 D - L ER0 +HOCHSTEIN HH AA1 K - S T AY0 N +HOCHSTEIN(2) HH AA1 K - S T IY0 N +HOCHSTETLER HH AA1 K - S T IH0 - T AH0 L - ER0 +HOCHSTETLER(2) HH AA1 K - S T EH0 T - L ER0 +HOCHTIEF HH AA1 K - T IY2 F +HOCK HH AA1 K +HOCKADAY HH AA1 - K AH0 - D EY2 +HOCKBERG HH AA1 K - B ER0 G +HOCKENBERRY HH AA1 - K AH0 N - B EH2 - R IY0 +HOCKENBURY HH AA1 - K AH0 N - B EH2 - R IY0 +HOCKENSMITH HH AA1 - K AH0 N - S M IH2 TH +HOCKER HH AA1 - K ER0 +HOCKERSMITH HH AA1 - K ER0 - S M IH2 TH +HOCKETT HH AA1 - K IH0 T +HOCKEY HH AA1 - K IY0 +HOCKEY'S HH AA1 - K IY0 Z +HOCKIN HH AA1 - K IH0 N +HOCKING HH AA1 - K IH0 NG +HOCKLEY HH AA1 K - L IY0 +HOCKMAN HH AA1 K - M AH0 N +HOCKNEY HH AA1 K - N IY0 +HOCKNEY'S HH AA1 K - N IY0 Z +HOCTOR HH AA1 K - T ER0 +HOCUS HH OW1 - K AH0 S +HOCUTT HH AA1 - K AH0 T +HODAK HH OW1 - D AH0 K +HODAPP HH AA1 - D AH0 P +HODDE HH AA1 D +HODDER HH AA1 - D ER0 +HODDING HH AA1 - D IH0 NG +HODDUR HH AA1 - D ER0 +HODEL HH OW1 - D AH0 L +HODES HH OW1 D Z +HODGDON HH AA1 JH - D AH0 N +HODGE HH AA1 JH +HODGE'S HH AA1 - JH IH0 Z +HODGEN HH AA1 - JH AH0 N +HODGENS HH AA1 - JH AH0 N Z +HODGEPODGE HH AA1 JH - P AA2 JH +HODGES HH AA1 - JH IH0 Z +HODGIN HH AA1 - JH IH0 N +HODGINS HH AA1 - JH IH0 N Z +HODGKIN HH AA1 JH - K IH0 N +HODGKIN'S HH AA1 JH - K IH0 N Z +HODGKINS HH AA1 JH - K IH0 N Z +HODGKINSON HH AA1 JH - K IH0 N - S AH0 N +HODGKISS HH AA1 JH - K IH0 S +HODGMAN HH AA1 JH - M AH0 N +HODGMAN'S HH AA1 JH - M AH0 N Z +HODGSON HH AA1 JH - S AH0 N +HODKINSON HH AA1 D - K IH0 N - S AH0 N +HODNETT HH AA1 D - N IH0 T +HODO HH OW1 - D OW0 +HODSDON HH AA1 D Z - D AH0 N +HODSON HH AA1 D - S AH0 N +HOE HH OW1 +HOECHST HH OW1 K S T +HOECHST'S HH OW1 K S T S +HOECHST'S(2) HH OW1 SH T S +HOECHST(2) HH OW1 SH T +HOECK HH OW1 K +HOECKER HH OW1 - K ER0 +HOEDOWN HH OW1 - D AW2 N +HOEFER HH OW1 - F ER0 +HOEFFNER HH OW1 F - N ER0 +HOEFLE HH OW1 - F AH0 L +HOEFLER HH OW1 - F AH0 - L ER0 +HOEFLER(2) HH OW1 F - L ER0 +HOEFLICH HH OW1 - F L IH0 K +HOEFLING HH OW1 - F AH0 L - IH0 NG +HOEFLING(2) HH OW1 - F L IH0 NG +HOEFS HH OW1 F S +HOEFT HH OW1 F T +HOEG HH OW1 G +HOEGER HH OW1 - G ER0 +HOEHN HH OW1 N +HOEHNE HH OW1 N +HOEING HH OW1 - IH0 NG +HOEK HH OW1 K +HOEKSEMA HH OW1 K - S IH0 - M AH0 +HOEKSTRA HH OW1 K - S T R AH0 +HOEL HH OW1 L +HOELL HH OW1 L +HOELLE HH OW1 L +HOELSCHER HH OW1 L - SH ER0 +HOELTERHOFF HH OW1 L - T ER0 - HH AO2 F +HOELTERHOFF'S HH OW1 L - T ER0 - HH AO2 F S +HOELTING HH OW1 L - T IH0 NG +HOELZEL HH OW1 L - Z AH0 L +HOELZER HH OW1 L - Z ER0 +HOEN HH OW1 N +HOENE HH AA1 - IY0 N +HOENER HH OW1 - N ER0 +HOENIG HH OW1 - N IH0 G +HOEPER HH OW1 - P ER0 +HOEPFNER HH OW1 P F - N ER0 +HOEPFNER(2) HH OW1 P - N ER0 +HOEPNER HH OW1 P - N ER0 +HOEPPNER HH OW1 P - N ER0 +HOERIG HH AO1 - R IH0 G +HOERNER HH AO1 R - N ER0 +HOERR HH AO1 R +HOES HH OW1 Z +HOESCH HH OW1 SH +HOESCHEN HH OW1 - SH AH0 N +HOESLY HH OW1 S - L IY0 +HOEVELER HH OW1 V - L ER0 +HOEVET HH OW1 - V EH2 T +HOEVET'S HH OW1 - V EH2 T S +HOEY HH OW1 - IY0 +HOF HH AA1 F +HOFACKER HH AA1 - F AH0 - K ER0 +HOFBAUER HH AA1 F - B AW0 - ER0 +HOFER HH OW1 - F ER0 +HOFF HH AO1 F +HOFFA HH AO1 - F AH0 +HOFFA'S HH AO1 - F AH0 Z +HOFFACKER HH AO1 - F AH0 - K ER0 +HOFFART HH AO1 - F AA0 R T +HOFFARTH HH AO1 - F AA0 R TH +HOFFECKER HH AO1 - F IH0 - K ER0 +HOFFENBERG HH AO1 - F AH0 N - B ER0 G +HOFFENBERG'S HH AA1 - F AH0 N - B ER0 G Z +HOFFER HH AA1 - F ER0 +HOFFERBER HH AO1 - F ER0 - B ER0 +HOFFERT HH AO1 - F ER0 T +HOFFITZ HH AA1 - F IH0 T S +HOFFLER HH AO1 - F AH0 - L ER0 +HOFFLER(2) HH AO1 F - L ER0 +HOFFMAN HH AO1 F - M AH0 N +HOFFMAN'S HH AO1 F - M AH0 N Z +HOFFMANN HH AO1 F - M AH0 N +HOFFMASTER HH AO1 F - M AE2 - S T ER0 +HOFFMEIER HH AO1 F - M AY0 - ER0 +HOFFMEISTER HH AO1 F - M AY2 - S T ER0 +HOFFMEYER HH AO1 F - M AY0 - ER0 +HOFFNER HH AO1 F - N ER0 +HOFFPAUIR HH AO1 F - P AW0 - ER0 +HOFI HH OW1 - F IY0 +HOFLAND HH AA1 F - L AH0 N D +HOFLER HH AA1 F - L ER0 +HOFMAN HH AA1 F - M AH0 N +HOFMANN HH AA1 F - M AH0 N +HOFMEISTER HH AA1 F - M AY0 - S T ER0 +HOFRICHTER HH AA1 - F R IH0 K - T ER0 +HOFSTAD HH AA1 F - S T AE0 D +HOFSTETTER HH AA1 F - S T EH0 - T ER0 +HOFSTRA HH AA1 F - S T R AH0 +HOG HH AA1 G +HOGAN HH OW1 - G AA2 N +HOGAN'S HH OW1 - G AA2 N Z +HOGAN(2) HH OW1 - G AH0 N +HOGANS HH OW1 - G AA2 N Z +HOGANS(2) HH OW1 - G AH0 N Z +HOGANSON HH AA1 - G AH0 N - S AH0 N +HOGARTH HH OW1 - G AA2 R TH +HOGARTY HH AA1 - G AA2 R - T IY0 +HOGBERG HH AA1 G - B ER0 G +HOGE HH OW1 JH +HOGELAND HH AA1 - G IH0 - L AH0 N D +HOGELAND(2) HH OW1 G - L AH0 N D +HOGEN HH AA1 - G AH0 N +HOGENSON HH AA1 - JH IH0 N - S AH0 N +HOGER HH OW1 - G ER0 +HOGG HH AA1 G +HOGGAN HH AA1 - G AH0 N +HOGGARD HH AA1 - G ER0 D +HOGGART HH AA1 - G ER0 T +HOGGATT HH AA1 - G AH0 T +HOGGE HH AA1 G +HOGGING HH AO1 - G IH0 NG +HOGLAND HH AA1 G - L AH0 N D +HOGLE HH OW1 - G AH0 L +HOGLUND HH AO1 G - L AH0 N D +HOGLUND'S HH AO1 G - L AH0 N D Z +HOGLUNDS HH AO1 G - L AH0 N D Z +HOGNOSE HH AA1 G - N OW2 Z +HOGREFE HH AA1 - G R IH0 F +HOGS HH AA1 G Z +HOGSED HH OW1 G S T +HOGSETT HH AA1 G - S IH0 T +HOGSTON HH AA1 G - S T AH0 N +HOGUE HH OW1 G +HOGWASH HH AA1 G - W AA2 SH +HOGWOOD HH AO1 G - W UH2 D +HOH HH OW1 +HOHEISEL HH OW1 - AY0 - S AH0 L +HOHENBERGER HH OW1 - AH0 N - B ER0 - G ER0 +HOHENSEE HH AA0 - HH IH0 N - S IY1 +HOHENSTEIN HH OW1 - AH0 N - S T AY0 N +HOHENSTEIN(2) HH OW1 - AH0 N - S T IY0 N +HOHL HH OW1 L +HOHLER HH OW1 - L ER0 +HOHLT HH OW1 L T +HOHMAN HH OW1 - M AH0 N +HOHMANN HH OW1 - M AH0 N +HOHN HH AA1 N +HOHNER HH OW1 - N ER0 +HOHNSTEIN HH OW1 N - S T AY0 N +HOHNSTEIN(2) HH OW1 N - S T IY0 N +HOHORST HH OW1 - HH AO2 R S T +HOI HH OY1 +HOILAND HH OY0 - L AE1 N D +HOILMAN HH OY1 L - M AH0 N +HOISINGTON HH OY1 - Z IH0 NG - T AH0 N +HOIST HH OY1 S T +HOISTED HH OY1 - S T AH0 D +HOISTED(2) HH OY1 - S T IH0 D +HOISTING HH OY1 - S T IH0 NG +HOISTS HH OY1 S T S +HOISTS(2) HH OY1 S S +HOISTS(3) HH OY1 S +HOIT HH OY1 T +HOITY HH OY1 - T IY0 +HOIUM HH AA1 - IY0 - AH0 M +HOJNACKI HH AH0 Y - N AA1 T S - K IY0 +HOKANSON HH AA1 - K AH0 N - S AH0 N +HOKE HH OW1 K +HOKENSON HH AA1 - K IH0 N - S AH0 N +HOKEY HH OW1 - K IY0 +HOKKAIDO HH OW0 - K AY1 - D OW0 +HOKUM HH OW1 - K AH0 M +HOKURIKU HH AA2 - K ER0 - IY1 - K UW2 +HOLADAY HH OW1 - L AH0 - D EY0 +HOLAHAN HH AA1 - L AH0 - HH AE0 N +HOLAN HH OW1 - L AH0 N +HOLAWAY HH OW1 - L AH0 - W EY0 +HOLBEIN HH OW1 L - B AY0 N +HOLBEN HH OW1 L - B AH0 N +HOLBERG HH OW1 L - B ER0 G +HOLBERT HH OW1 L - B ER0 T +HOLBROOK HH OW1 L - B R UH2 K +HOLBROOKE HH OW1 L - B R UH0 K +HOLBROOKE'S HH OW1 L - B R UH0 K S +HOLBROOKS HH OW1 L - B R UH0 K S +HOLCK HH OW1 L K +HOLCOMB HH OW1 L - K AH0 M +HOLCOMBE HH OW1 L - K AH0 M +HOLD HH OW1 L D +HOLDA HH OW1 L - D AH0 +HOLDAWAY HH OW1 L D - AH0 - W EY2 +HOLDE HH OW1 L D +HOLDEMAN HH OW1 L D - M AH0 N +HOLDEN HH OW1 L - D AH0 N +HOLDEN'S HH OW1 L - D AH0 N Z +HOLDER HH OW1 L - D ER0 +HOLDER'S HH OW1 L - D ER0 Z +HOLDERBANK HH OW1 L - D ER0 - B AE2 NG K +HOLDERBAUM HH OW1 L - D ER0 - B AW0 M +HOLDERBY HH OW1 L - D ER0 - B IY0 +HOLDERFIELD HH OW1 L - D ER0 - F IY2 L D +HOLDERMAN HH OW1 L - D ER0 - M AH0 N +HOLDERNESS HH OW1 L - D ER0 - N AH0 S +HOLDERS HH OW1 L - D ER0 Z +HOLDERS' HH OW1 L - D ER0 Z +HOLDFAST HH OW1 L - F AE2 S T +HOLDING HH OW1 L - D IH0 NG +HOLDING'S HH OW1 L - D IH0 NG Z +HOLDINGS HH OW1 L - D IH0 NG Z +HOLDINGS' HH OW1 L - D IH0 NG Z +HOLDMAN HH OW1 L D - M AH0 N +HOLDORF HH OW1 L - D AO0 R F +HOLDOUT HH OW1 L D - AW2 T +HOLDOUTS HH OW1 L D - AW2 T S +HOLDOVER HH OW1 L D - OW2 - V ER0 +HOLDOVERS HH OW1 L D - OW2 - V ER0 Z +HOLDREN HH OW1 L - D ER0 - AH0 N +HOLDRIDGE HH OW1 L - D R IH0 JH +HOLDS HH OW1 L D Z +HOLDSWORTH HH OW1 L D Z - W ER2 TH +HOLDUP HH OW1 L D - AH2 P +HOLDUPS HH OW1 L D - AH2 P S +HOLE HH OW1 L +HOLECEK HH AA1 - L IH0 - CH EH0 K +HOLED HH OW1 L D +HOLEMAN HH OW1 L - M AH0 N +HOLEN HH OW1 - L AH0 N +HOLES HH OW1 L Z +HOLEWINSKI HH AH0 - L UW0 - IH1 N - S K IY0 +HOLFORD HH OW1 L - F ER0 D +HOLGATE HH OW1 L - G EY2 T +HOLGERSON HH OW1 L - G ER0 - S AH0 N +HOLGUIN HH OW1 L - G IH0 N +HOLIAN HH OW1 - L IY0 - AH0 N +HOLICK HH AA1 - L IH0 K +HOLIDAY HH AA1 - L AH0 - D EY2 +HOLIDAY'S HH AA1 - L AH0 - D EY2 Z +HOLIDAY(2) HH AA1 - L IH0 - D EY2 +HOLIDAYS HH AA1 - L AH0 - D EY2 Z +HOLIDAYSBURG HH AA1 - L AH0 - D EY2 Z - B ER0 G +HOLIEN HH OW1 - L IY0 - AH0 N +HOLIER HH OW1 - L IY0 - ER0 +HOLIEST HH OW1 - L IY0 - IH0 S T +HOLIFIELD HH AA1 - L IH0 - F IY2 L D +HOLIHAN HH AA1 - L IH0 - HH AE0 N +HOLIK HH OW1 - L IH0 K +HOLIMAN HH AA1 - L IH0 - M AH0 N +HOLINESS HH OW1 - L IY0 - N AH0 S +HOLING HH OW1 - L IH0 NG +HOLISTIC HH OW0 - L IH1 - S T IH0 K +HOLL HH AA1 L +HOLLABAUGH HH AA1 - L AH0 - B AO2 +HOLLADAY HH AA1 - L AH0 - D EY2 +HOLLAN HH AA1 - L AH0 N +HOLLAND HH AA1 - L AH0 N D +HOLLAND'S HH AA1 - L AH0 N D Z +HOLLANDER HH AA1 - L AH0 N - D ER0 +HOLLANDERS HH AA1 - L AH0 N - D ER0 Z +HOLLANDS HH AA1 - L AH0 N D Z +HOLLANDSWORTH HH AA1 - L AH0 N D Z - W ER2 TH +HOLLAR HH AA1 - L ER0 +HOLLARS HH AA1 - L ER0 Z +HOLLATZ HH AA1 - L AH0 T S +HOLLAWAY HH AA1 - L AH0 - W EY0 +HOLLE HH AA1 L +HOLLEMAN HH OW1 L - M AH0 N +HOLLEN HH AA1 - L AH0 N +HOLLENBACH HH AA1 - L IH0 N - B AA0 K +HOLLENBACK HH AA1 - L AH0 N - B AE2 K +HOLLENBAUGH HH AH0 - L EH1 N - B AO0 +HOLLENBECK HH AA1 - L AH0 N - B EH2 K +HOLLENBERG HH AA1 - L AH0 N - B ER0 G +HOLLENDER HH AA1 - L EH0 N - D ER0 +HOLLENKAMP HH AA1 - L IH0 N - K AE0 M P +HOLLER HH AA1 - L ER0 +HOLLERAN HH AA1 - L ER0 - AH0 N +HOLLERBACH HH AA1 - L ER0 - B AA2 K +HOLLERED HH AA1 - L ER0 D +HOLLERING HH AA1 - L ER0 - IH0 NG +HOLLERN HH AA1 - L ER0 N +HOLLERS HH AA1 - L ER0 Z +HOLLETT HH AA1 - L IH0 T +HOLLEY HH AA1 - L IY0 +HOLLIBAUGH HH AA1 - L IH0 - B AO2 +HOLLICK HH AA1 - L IH0 K +HOLLIDAY HH AA1 - L IH0 - D EY2 +HOLLIDAY'S HH AA1 - L IH0 - D EY2 Z +HOLLIE HH AA1 - L IY0 +HOLLIER HH AO1 - L IY0 - ER0 +HOLLIES HH AA1 - L IY0 Z +HOLLIFIELD HH AA1 - L IH0 - F IY2 L D +HOLLIMAN HH AA1 - L IH0 - M AH0 N +HOLLIMAN'S HH AA1 - L IH0 - M AH0 N Z +HOLLIMON HH AA1 - L IH0 - M AH0 N +HOLLIN HH AA1 - L IH0 N +HOLLING HH AA1 - L IH0 NG +HOLLINGER HH AA1 - L IH0 - NG ER0 +HOLLINGS HH AA1 - L IH0 NG Z +HOLLINGS(2) HH AA1 - L IH0 NG G Z +HOLLINGSHEAD HH AA1 - L IH0 NG Z - HH EH2 D +HOLLINGSWORTH HH AA1 - L IH0 NG - Z W ER2 TH +HOLLINGWORTH HH AA1 - L IH0 NG - G W ER2 TH +HOLLINS HH AA1 - L IH0 N Z +HOLLINSHEAD HH AA1 - L IH0 N S - HH EH2 D +HOLLINSHEAD(2) HH AA1 - L IH0 N Z - HH EH2 D +HOLLINSWORTH HH AA1 - L IH0 N - S W ER2 TH +HOLLINSWORTH(2) HH AA1 - L IH0 N Z - W ER2 TH +HOLLIS HH AA1 - L IH0 S +HOLLISTER HH AA1 - L IH0 - S T ER0 +HOLLISTON HH AA1 - L IH0 - S T AH0 N +HOLLMAN HH AA1 L - M AH0 N +HOLLMANN HH AA1 L - M AH0 N +HOLLO HH AA1 - L OW2 +HOLLOBAUGH HH AA1 - L AH0 - B AO0 +HOLLOM HH AO1 - L AH0 M +HOLLOMAN HH AA1 - L OW0 - M AH0 N +HOLLOMON HH AA1 - L AH0 - M AA0 N +HOLLON HH AA1 - L AH0 N +HOLLOPETER HH AA1 - L AH0 - P IY0 - T ER0 +HOLLORAN HH AA1 - L ER0 - AH0 N +HOLLOW HH AA1 - L OW0 +HOLLOW'S HH AA1 - L OW0 Z +HOLLOWAY HH AA1 - L OW0 - W EY2 +HOLLOWED HH AA1 - L OW0 D +HOLLOWELL HH AA1 - L AH0 W - EH0 L +HOLLOWING HH AA1 - L OW0 - IH0 NG +HOLLOWS HH AA1 - L OW0 Z +HOLLSTEIN HH AA1 L - S T AY0 N +HOLLSTEIN(2) HH AA1 L - S T IY0 N +HOLLY HH AA1 - L IY0 +HOLLY'S HH AA1 - L IY0 Z +HOLLYFIELD HH AA1 - L IH0 - F IY2 L D +HOLLYFIELD(2) HH AA1 - L IY0 - F IY2 L D +HOLLYHEAD HH AO1 - L IY0 - HH EH2 D +HOLLYHOCK HH AA1 - L IY0 - HH AA2 K +HOLLYHOCKS HH AA1 - L IY0 - HH AA2 K S +HOLLYWOOD HH AA1 - L IY0 - W UH2 D +HOLLYWOOD'S HH AA1 - L IY0 - W UH2 D Z +HOLM HH OW1 M +HOLMAN HH AA1 L - M AH0 N +HOLMBERG HH OW1 L M - B ER0 G +HOLMDALE HH OW1 L M - D EY2 L +HOLME HH OW1 L M +HOLMEN HH AA1 L - M EH0 N +HOLMER HH OW1 L - M ER0 +HOLMES HH OW1 M Z +HOLMES'S HH OW1 M - Z IH0 Z +HOLMES'S(2) HH OW1 L M - Z IH0 Z +HOLMES(2) HH OW1 L M Z +HOLMGREN HH OW1 L M - G R EH0 N +HOLMIUM HH OW1 L - M IY0 - AH0 M +HOLMLUND HH OW1 L M - L AH0 N D +HOLMQUEST HH OW1 L M - K W EH2 S T +HOLMQUIST HH OW1 L M - K W IH2 S T +HOLMSTROM HH OW1 L M - S T R AH0 M +HOLNESS HH AA1 L - N IH0 S +HOLOCAUST HH AA1 - L AH0 - K AO2 S T +HOLOGRAM HH AA1 - L AH0 - G R AE2 M +HOLOGRAMS HH AA1 - L AH0 - G R AE2 M Z +HOLOGRAPHIC HH AA2 - L AH0 - G R AE1 - F IH0 K +HOLOHAN HH AA1 - L AH0 - HH AE0 N +HOLQUIN HH OW1 L - K W IH0 N +HOLROYD HH OW1 L - R OY2 D +HOLSAPPLE HH OW1 L - S AH0 - P AH0 L +HOLSCHER HH OW1 L - SH ER0 +HOLSCLAW HH OW1 L - S K L AO0 +HOLSEY HH OW1 L - S IY0 +HOLSHOUSER HH OW1 L S - HH AW2 - S ER0 +HOLSINGER HH OW1 L - S IH0 - NG ER0 +HOLSOMBACK HH OW1 L - S AH0 M - B AE2 K +HOLSONBACK HH OW1 L - S AH0 N - B AE2 K +HOLSOPPLE HH OW1 L - S AH0 - P AH0 L +HOLST HH OW1 L S T +HOLSTAD HH OW1 L - S T AH0 D +HOLSTE HH OW1 L S T +HOLSTEAD HH OW1 L - S T EH2 D +HOLSTEIN HH OW1 L - S T IY2 N +HOLSTEN HH OW1 L - S AH0 N +HOLSTER HH OW1 L - S T ER0 +HOLSTINE HH OW1 L - S T AY2 N +HOLSTON HH OW1 L - S T AH0 N +HOLSTROM HH OW1 L - S T R AH0 M +HOLSWORTH HH OW1 L - S W ER0 TH +HOLT HH OW1 L T +HOLT'S HH OW1 L T S +HOLTAN HH OW1 L - T AH0 N +HOLTE HH OW1 L T +HOLTEN HH OW1 L - T AH0 N +HOLTER HH OW1 L - T ER0 +HOLTERMAN HH OW1 L - T ER0 - M AH0 N +HOLTHAUS HH OW1 L T - HH AW2 S +HOLTHUS HH OW1 L - TH AH0 S +HOLTKAMP HH OW1 L T - K AE2 M P +HOLTMAN HH OW1 L T - M AH0 N +HOLTMANN HH OW1 L T - M AH0 N +HOLTON HH OW1 L - T AH0 N +HOLTORF HH OW1 L - T ER0 F +HOLTROP HH OW1 L - T R AH0 P +HOLTRY HH OW1 L - T R IY0 +HOLTS HH OW1 L T S +HOLTSCLAW HH OW1 L T - S K L AO2 +HOLTZ HH OW1 L T S +HOLTZ'S HH OW1 L T - S IH0 Z +HOLTZAPPLE HH OW1 L T - Z AH0 - P AH0 L +HOLTZCLAW HH OW1 L T - S K L AO0 +HOLTZER HH OW1 L T - Z ER0 +HOLTZINGER HH OW1 L T - Z IH0 - NG ER0 +HOLTZMAN HH OW1 L T S - M AH0 N +HOLUB HH OW1 - L AH0 B +HOLUM HH OW1 - L AH0 M +HOLVEN HH AO1 L - V EH0 N +HOLVERSON HH AA1 L - V ER0 - S AH0 N +HOLVIS HH OW1 L - V AH0 S +HOLVIS' HH OW1 L - V AH0 S +HOLVIS'S HH OW1 L - V AH0 - S IH0 Z +HOLWAY HH AA1 L - W EY0 +HOLWEGER HH OW1 L - W IH0 - G ER0 +HOLWERDA HH OW0 L - W ER1 - D AH0 +HOLY HH OW1 - L IY0 +HOLYCROSS HH OW1 - L IY0 - K R AO2 S +HOLYFIELD HH OW1 - L IY0 - F IY2 L D +HOLYOAK HH OW1 - L IY0 - OW2 K +HOLYOKE HH OW1 - L IY0 - OW2 K +HOLZ HH OW1 L Z +HOLZAPFEL HH OW1 L - Z AH0 P - F AH0 L +HOLZER HH OW1 L - Z ER0 +HOLZHAUER HH OW1 L Z - HH AW0 - ER0 +HOLZHAUSER HH OW1 L Z - HH AW0 - Z ER0 +HOLZHEIMER HH OW1 L Z - HH AY0 - M ER0 +HOLZINGER HH OW1 L - Z IH0 - NG ER0 +HOLZMAN HH OW1 L Z - M AH0 N +HOLZMANN HH OW1 L Z - M AH0 N +HOLZSCHUH HH OW1 L - SH UW0 +HOLZSTOFF HH OW1 L - S T AO2 F +HOLZWARTH HH OW1 L Z - W ER0 TH +HOLZWORTH HH OW1 L Z - W ER0 TH +HOM HH AA1 M +HOMA HH OW1 - M AH0 +HOMAC HH OW1 - M AE0 K +HOMAGE AA1 - M AH0 JH +HOMAGE(2) HH AA1 - M AH0 JH +HOMAN HH OW1 - M AH0 N +HOMANN HH OW1 - M AH0 N +HOMANS HH OW1 - M AH0 N Z +HOMART HH OW1 - M AA2 R T +HOMBRE HH AA1 M - B R AH0 +HOMBURG HH AA1 M - B ER0 G +HOME HH OW1 M +HOME'S HH OW1 M Z +HOME-MADE HH OW1 M - M EY1 D +HOME-SCHOOL HH OW1 M - S K UW1 L +HOMEBOUND HH OW1 M - B AW2 N D +HOMEBOYS HH OW1 M - B OY2 Z +HOMEBUILDER HH OW1 M - B IH2 L - D ER0 +HOMEBUILDER'S HH OW1 M - B IH2 L - D ER0 Z +HOMEBUILDERS HH OW1 M - B IH2 L - D ER0 Z +HOMEBUILDING HH OW1 M - B IH2 L - D IH0 NG +HOMEBUYER HH OW1 M - B AY2 - ER0 +HOMEBUYERS HH OW1 M - B AY2 - ER0 Z +HOMECARE HH OW1 M - K EH2 R +HOMECLUB HH OW1 M - K L AH2 B +HOMECOMING HH OW1 M - K AH2 - M IH0 NG +HOMED HH OW1 M D +HOMEDCO HH OW2 - M EH1 D - K OW2 +HOMEFED HH OW1 M - F EH2 D +HOMEFED'S HH OW1 M - F EH2 D Z +HOMEFRONT HH OW1 M - F R AH0 N T +HOMEGROWN HH OW1 M - G R OW1 N +HOMELAND HH OW1 M - L AE2 N D +HOMELAND'S HH OW1 M - L AE2 N D Z +HOMELANDS HH OW1 M - L AE2 N D Z +HOMELESS HH OW1 M - L AH0 S +HOMELESSNESS HH OW1 M - L AH0 S - N AH0 S +HOMELIKE HH OW1 M - L AY2 K +HOMELY HH OW1 M - L IY0 +HOMEMADE HH OW1 M - M EY1 D +HOMEMADE(2) HH OW1 - M EY1 D +HOMEMAKER HH OW1 M - M EY2 - K ER0 +HOMEMAKERS HH OW1 M - M EY2 - K ER0 Z +HOMEMAKING HH OW1 M - M EY2 - K IH0 NG +HOMEN HH OW1 - M AH0 N +HOMEOPATHIC HH OW2 - M IY0 - OW0 - P AE1 - TH AH0 K +HOMEOPATHY HH OW2 - M IY0 - OW0 - P AE1 - TH IY0 +HOMEOSTASIS HH OW2 - M IY0 - OW0 - S T EY1 - S AH0 S +HOMEOSTATIC HH OW2 - M IY0 - OW0 - S T AE1 - T IH0 K +HOMEOWNER HH OW1 - M OW2 - N ER0 +HOMEOWNER'S HH OW1 - M OW2 - N ER0 Z +HOMEOWNERS HH OW1 - M OW2 - N ER0 Z +HOMEOWNERS' HH OW1 - M OW2 - N ER0 Z +HOMEOWNERSHIP HH OW1 - M OW2 - N ER0 - SH IH2 P +HOMEPORTING HH OW1 M - P AO1 R - T IH0 NG +HOMER HH OW1 - M ER0 +HOMER'S HH OW1 - M ER0 Z +HOMERIC HH OW0 - M EH1 - R IH0 K +HOMERS HH OW1 - M ER0 Z +HOMERUN HH OW0 - M R AH1 N +HOMES HH OW1 M Z +HOMES' HH OW1 M Z +HOMESICK HH OW1 M - S IH2 K +HOMESICKNESS HH OW1 M - S IH2 K - N AH0 S +HOMESLEY HH OW1 M Z - L IY0 +HOMESPUN HH OW1 M - S P AH2 N +HOMESTAKE HH OW1 M - S T EY2 K +HOMESTAKE'S HH OW1 M - S T EY2 K S +HOMESTATE HH OW1 M - S T EY2 T +HOMESTEAD HH OW1 M - S T EH2 D +HOMESTEAD'S HH OW1 M - S T EH2 D Z +HOMESTEADED HH OW1 M - S T EH2 - D IH0 D +HOMESTEADER HH OW1 M - S T EH0 - D ER0 +HOMESTEADERS HH OW1 M - S T EH0 - D ER0 Z +HOMESTRETCH HH OW1 M - S T R EH2 CH +HOMETOWN HH OW1 M - T AW2 N +HOMEWARD HH OW1 M - W ER0 D +HOMEWOOD HH OW1 M - W UH2 D +HOMEWORK HH OW1 M - W ER2 K +HOMEWORKER HH OW1 M - W ER2 - K ER0 +HOMEWORKERS HH OW1 M - W ER2 - K ER0 Z +HOMEY HH OW1 - M IY0 +HOMEYER HH OW1 - M IY0 - ER0 +HOMICIDAL HH AA2 - M AH0 - S AY1 - D AH0 L +HOMICIDE HH AA1 - M AH0 - S AY2 D +HOMICIDES HH AA1 - M AH0 - S AY2 D Z +HOMILETIC HH AA2 - M AH0 - L EH1 - T IH0 K +HOMILIES HH OW1 - M AH0 - L IY0 Z +HOMILY HH AA1 - M AH0 - L IY0 +HOMINEM HH AA1 - M IH0 - N EH0 M +HOMING HH OW1 - M IH0 NG +HOMINID HH AA1 - M AH0 - N IH0 D +HOMINY HH AA1 - M IH0 - N IY0 +HOMME HH AA1 M +HOMMEL HH AA1 - M AH0 L +HOMMES HH AA1 M Z +HOMO HH OW1 - M OW0 +HOMO-ERECTUS HH OW1 - M OW0 - IH0 - R EH1 K - T AH0 S +HOMOGENEITY HH AA2 - M AH0 - JH AH0 - N IY1 - AH0 - T IY0 +HOMOGENEOUS HH OW2 - M AH0 - JH IY1 - N IY0 - AH0 S +HOMOGENIZATION HH OW0 - M AA1 - JH AH0 - N IH0 - Z EY2 - SH AH0 N +HOMOGENIZE HH OW0 - M AA1 - JH AH0 - N AY2 Z +HOMOGENIZED HH OW0 - M AA1 - JH AH0 - N AY2 Z D +HOMOGENOUS HH AH0 - M AA1 - JH AH0 - N AH0 S +HOMOGENY HH OW0 - M AA1 - JH AH0 - N IY0 +HOMOLA HH AH0 - M AA1 - L AH0 +HOMOLKA HH AH0 - M AA1 L - K AH0 +HOMOLOGOUS HH AH0 - M AA1 - L AH0 - G AH0 S +HOMOPHOBIA HH OW2 - M AH0 - F OW1 - B IY0 - AH0 +HOMOPHOBIC HH OW2 - M AH0 - F OW1 - B IH0 K +HOMOSEXUAL HH OW2 - M OW0 - S EH1 K - SH AH0 - W AH0 L +HOMOSEXUALITY HH OW2 - M OW0 - S EH2 K - SH AH0 W - AE1 - L AH0 - T IY0 +HOMOSEXUALS HH OW2 - M OW0 - S EH1 K - SH AH0 - W AH0 L Z +HOMOSPOROUS HH AH0 - M AA1 - S P ER0 - AH0 S +HOMOZYGOTE HH OW2 - M OW0 - Z AY1 - G OW0 T +HOMOZYGOUS HH OW2 - M OW0 - Z AY1 - G AH0 S +HOMRICH HH AA1 M - R IH0 K +HOMS HH AA1 M Z +HOMSEY HH AA1 M - Z IY0 +HOMUTH HH AA1 - M UW0 TH +HON HH AA1 N +HON(2) HH AH1 N +HON(3) AH1 N - ER0 - AH0 - B AH0 L +HONAKER HH AA1 - N AH0 - K ER0 +HONAN HH OW1 - N AH0 N +HONASAN HH AA1 - N AH0 - Z AH0 N +HONCHO HH AO1 N - CH OW0 +HONDA HH AO1 N - D AH0 +HONDA'S HH AA1 N - D AH0 Z +HONDAS HH AA1 N - D AH0 S +HONDERICH HH AA1 N - D ER0 - IH0 K +HONDO HH AA1 N - D OW0 +HONDURAN HH AA0 N - D UH1 - R AH0 N +HONDURANS HH AA0 N - D UH1 - R AH0 N Z +HONDURAS HH AA0 N - D UH1 - R AH0 S +HONE HH OW1 N +HONEA HH AA1 - N IY0 - AH0 +HONECK HH OW1 - N EH0 K +HONECKER HH OW1 - N EH0 - K ER0 +HONECKER'S HH OW1 - N EH0 - K ER0 Z +HONED HH OW1 N D +HONER HH OW1 - N ER0 +HONEST AA1 - N AH0 S T +HONESTLY AA1 - N AH0 S T - L IY0 +HONESTLY(2) AA1 - N AH0 S - L IY0 +HONESTOK HH OW1 - N AH0 - S T AO2 K +HONESTY AA1 - N AH0 - S T IY0 +HONEY HH AH1 - N IY0 +HONEYBEE HH AH1 - N IY0 - B IY2 +HONEYBEES HH AH1 - N IY0 - B IY2 Z +HONEYCOMB HH AH1 - N IY0 - K OW2 M +HONEYCUTT HH AH1 - N IY0 - K AH0 T +HONEYDEW HH AH1 - N IY0 - D UW2 +HONEYMAN HH AA1 - N IY0 - M AH0 N +HONEYMOON HH AH1 - N IY0 - M UW2 N +HONEYMOONED HH AH1 - N IY0 - M UW2 N D +HONEYMOONER HH AH1 - N IY0 - M UW2 - N ER0 +HONEYMOONERS HH AH1 - N IY0 - M UW2 - N ER0 Z +HONEYMOONS HH AH1 - N IY0 - M UW2 N Z +HONEYS HH AH1 - N IY0 Z +HONEYSUCKLE HH AH1 - N IY0 - S AH2 - K AH0 L +HONEYSUCKLES HH AH1 - N IY0 - S AH2 - K AH0 L Z +HONEYWELL HH AH1 - N IY0 - W EH2 L +HONEYWELL'S HH AH1 - N IY0 - W EH2 L Z +HONG HH AO1 NG +HONG-KONG HH AO1 NG - K AO1 NG +HONGKONG HH AO1 NG - K AO0 NG +HONGWEI HH AO1 NG - W EY1 +HONIG HH AA1 - N IH0 G +HONING HH OW1 - N IH0 NG +HONK HH AA1 NG K +HONK(2) HH AO1 NG K +HONKING HH AO1 NG - K IH0 NG +HONKY HH AO1 NG - K IY0 +HONN HH AA1 N +HONNOLD HH AA1 - N OW2 L D +HONOLD HH AA1 - N OW0 L D +HONOLULU HH AA2 - N AH0 - L UW1 - L UW0 +HONOLULU'S HH AA2 - N AH0 - L UW1 - L UW0 Z +HONOR AA1 - N ER0 +HONOR'S AA1 - N ER0 Z +HONORA AO0 - N AO1 - R AH0 +HONORABLE AA1 - N ER0 - AH0 - B AH0 L +HONORABLY AA1 - N ER0 - AH0 - B L IY0 +HONORARIA AA2 - N ER0 - EH1 - R IY0 - AH0 +HONORARIUM AA2 - N ER0 - EH1 - R IY0 - AH0 M +HONORARIUMS AA2 - N ER0 - EH1 - R IY0 - AH0 M Z +HONORARY AA1 - N ER0 - EH2 - R IY0 +HONORE AA1 - N ER0 +HONORED AA1 - N ER0 D +HONOREE AA0 - N ER0 - IY1 +HONOREES AA0 - N ER0 - IY1 Z +HONORIA AA0 - N ER1 - IY0 - AH0 +HONORIFIC AA2 - N ER0 - IH1 - F IH0 K +HONORING AA1 - N ER0 - IH0 NG +HONORS AA1 - N ER0 Z +HONS HH AA1 N Z +HONSBERGER HH AA1 N S - B ER0 - G ER0 +HONSE HH AA1 N S +HONSHU HH AA1 N - SH UW0 +HONSINGER HH AA1 N - S IH0 - NG ER0 +HONTZ HH AA1 N T S +HOO HH UW1 +HOOBLER HH UW1 B - L ER0 +HOOCH HH UW1 CH +HOOCHIE HH UW1 - CH IY0 +HOOCK HH UW1 K +HOOD HH UH1 D +HOODED HH UH1 - D IH0 D +HOODLUM HH UH1 D - L AH0 M +HOODLUMS HH UW1 D - L AH0 M Z +HOODS HH UH1 D Z +HOODWINK HH UH1 D - W IH2 NG K +HOODWINKED HH UH1 D - W IH2 NG K T +HOOEY HH UW1 - IY0 +HOOF HH UW1 F +HOOFED HH UH1 F T +HOOFED(2) HH UW1 F T +HOOFS HH UH1 F S +HOOFS(2) HH UW1 F S +HOOG HH UW1 G +HOOGE HH UW1 JH +HOOGLAND HH UW1 G - L AH0 N D +HOOGOVENS HH UW1 - G AH0 - V IH0 N Z +HOOK HH UH1 K +HOOK'S HH UH1 K S +HOOKE HH UH1 K +HOOKED HH UH1 K T +HOOKER HH UH1 - K ER0 +HOOKER'S HH UH1 - K ER0 Z +HOOKERS HH UH1 - K ER0 Z +HOOKING HH UH1 - K IH0 NG +HOOKS HH UH1 K S +HOOKUP HH UH1 K - AH2 P +HOOKUPS HH UH1 K - AH2 P S +HOOKWORM HH UH1 K - W ER0 M +HOOKY HH UH1 - K IY0 +HOOLE HH UW1 L +HOOLEY HH UW1 - L IY0 +HOOLIGAN HH UW1 - L IH0 - G AH0 N +HOOLIGANISM HH UW1 - L IH0 - G AH0 - N IH2 - Z AH0 M +HOOLIGANS HH UW1 - L IH0 - G AH0 N Z +HOOLIHAN HH UW1 - L IH0 - HH AE0 N +HOON HH UW1 N +HOOP HH UW1 P +HOOPER HH UW1 - P ER0 +HOOPERMAN HH UW1 - P ER0 - M AH0 N +HOOPES HH UW1 P S +HOOPINGARNER HH UW0 - P IH1 NG - G AA0 R - N ER0 +HOOPLA HH UW1 - P L AA2 +HOOPOE HH UW1 - P UW2 +HOOPS HH UW1 P S +HOORAY HH UH0 - R EY1 +HOOS HH UW1 Z +HOOSE HH UW1 S +HOOSER HH UW1 - Z ER0 +HOOSIER HH UW1 - ZH ER0 +HOOSIERS HH UW1 - Z Y ER0 Z +HOOT HH UW1 T +HOOTED HH UW1 - T IH0 D +HOOTEN HH UW1 - T AH0 N +HOOTER HH UW1 - T ER0 +HOOTERS HH UW1 - T ER0 Z +HOOTIE HH UW1 - T IY0 +HOOTMAN HH UW1 T - M AH0 N +HOOTON HH UW1 - T AH0 N +HOOTS HH UW1 T S +HOOVEN HH UW1 - V AH0 N +HOOVER HH UW1 - V ER0 +HOOVER'S HH UW1 - V ER0 Z +HOOVES HH UH1 V Z +HOOVES(2) HH UW1 V Z +HOOVLER HH UW1 V - L ER0 +HOP HH AA1 P +HOPALONG HH AA1 - P AH0 - L AO0 NG +HOPBURG HH AA1 P - B ER0 G +HOPBURG'S HH AA1 P - B ER0 G Z +HOPE HH OW1 P +HOPE'S HH OW1 P S +HOPED HH OW1 P T +HOPEFUL HH OW1 P - F AH0 L +HOPEFULLY HH OW1 P - F AH0 - L IY0 +HOPEFULNESS HH OW1 P - F AH0 L - N IH0 S +HOPEFULS HH OW1 P - F AH0 L Z +HOPELESS HH OW1 P - L AH0 S +HOPELESSLY HH OW1 P - L AH0 S - L IY0 +HOPELESSNESS HH OW1 P - L AH0 S - N AH0 S +HOPES HH OW1 P S +HOPEWELL HH OW1 P - W EH2 L +HOPF HH AA1 P F +HOPFENSPERGER HH AA1 P - F IH0 N - S P ER0 - G ER0 +HOPFENSPERGER(2) HH AA1 - F IH0 N - S P ER0 - G ER0 +HOPFER HH AA1 P - F ER0 +HOPFINGER HH AA1 P - F IH0 - NG ER0 +HOPGOOD HH AA1 P - G UH2 D +HOPI HH OW1 - P IY0 +HOPING HH OW1 - P IH0 NG +HOPKE HH OW1 P K +HOPKIN HH AA1 P - K IH0 N +HOPKIN'S HH AA1 P - K IH0 N Z +HOPKINS HH AA1 P - K IH0 N Z +HOPKINS' HH AA1 P - K IH0 N Z +HOPKINSON HH AA1 P - K IH0 N - S AH0 N +HOPKINTON HH AA1 P - K IH0 N - T AH0 N +HOPKYNS HH AA1 P - K IH0 N Z +HOPMAN HH AA1 P - M AH0 N +HOPP HH AA1 P +HOPPA HH AA1 - P AH0 +HOPPE HH AA1 P +HOPPED HH AA1 P T +HOPPEL HH AA1 - P AH0 L +HOPPER HH AA1 - P ER0 +HOPPER'S HH AA1 - P ER0 Z +HOPPERS HH AA1 - P ER0 Z +HOPPERT HH AA1 - P ER0 T +HOPPES HH AA1 P S +HOPPING HH AA1 - P IH0 NG +HOPPLE HH AA1 - P AH0 L +HOPPS HH AA1 P S +HOPPY HH AO1 - P IY0 +HOPS HH AA1 P S +HOPSCOTCH HH AA1 P - S K AA2 CH +HOPSCOTCHED HH AA1 P - S K AA2 CH T +HOPSON HH AA1 P - S AH0 N +HOPTON HH AA1 P - T AH0 N +HOPWOOD HH AA1 P - W UH2 D +HORA HH AO1 - R AH0 +HORACE HH AO1 - R AH0 S +HORACE'S HH AO1 - R AH0 - S AH0 Z +HORACE(2) HH AO1 - R IH0 S +HORACEK HH AO1 - R AH0 - CH EH0 K +HORACIA HH AO0 - R AA1 - S IY0 - AH0 +HORACIO HH AO0 - R EY1 - S IY0 - OW0 +HORAK HH AO1 - R AH0 K +HORAN HH AO1 - R AH0 N +HORATIA HH AO0 - R AA1 - SH AH0 +HORATIAN HH ER0 - EY1 - SH AH0 N +HORATIO HH ER0 - EY1 - SH OW0 +HORATIO'S HH AO0 - R EY1 - SH IY0 - OW0 Z +HORATIUS HH AO0 - R EY1 - SH AH0 S +HORCH HH AO1 R K +HORCHOW HH AO1 R - CH OW0 +HORD HH AO1 R D +HORDE HH AO1 R D +HORDES HH AO1 R D Z +HOREHOUND HH AA1 R - HH AW2 N D +HOREJSI HH AO0 - R EY1 Y - S IY0 +HORELICK HH AO1 - R AH0 - L IH0 K +HOREN HH AO1 - R AH0 N +HORENSTEIN HH AO1 - R AH0 N - S T AY0 N +HORENSTEIN(2) HH AO1 - R AH0 N - S T IY0 N +HORGAN HH AO1 R - G AH0 N +HORGER HH AO1 R - G ER0 +HORI HH AO1 - R IY0 +HORIGUCHI HH AO2 - R IH0 - G UW1 - CH IY0 +HORINE HH AO1 - R IY0 N +HORIUCHI HH AO0 - R IY0 - UW1 - CH IY0 +HORIZON HH ER0 - AY1 - Z AH0 N +HORIZON'S HH ER0 - AY1 - Z AH0 N Z +HORIZONS HH ER0 - AY1 - Z AH0 N Z +HORIZONTAL HH AO2 - R AH0 - Z AA1 N - T AH0 L +HORIZONTALLY HH AO2 - R IH0 - Z AA1 N - T AH0 - L IY0 +HORIZONTALLY(2) HH AO0 - R IH0 - Z AO1 - N AH0 - L IY0 +HORKEY HH AO1 R - K IY0 +HORKY HH AO1 R - K IY0 +HORLACHER HH AO1 R - L AH0 - K ER0 +HORLICK HH AO1 R - L IH0 K +HORMAN HH AO1 R - M AH0 N +HORMANN HH AO1 R - M AH0 N +HORMATS HH AO1 R - M AE0 T S +HORMEL HH AO0 R - M EH1 L +HORMONAL HH AO1 R - M OW2 - N AH0 L +HORMONE HH AO1 R - M OW2 N +HORMONES HH AO1 R - M OW2 N Z +HORMUZ HH AO1 R - M UW0 Z +HORN HH AO1 R N +HORN'S HH AO1 R N Z +HORNACK HH AO1 R - N AH0 K +HORNADAY HH AO1 R - N AH0 - D EY2 +HORNAK HH AO1 R - N AH0 K +HORNBACK HH AO1 R N - B AE2 K +HORNBAKER HH AO1 R N - B AH0 - K ER0 +HORNBEAK HH AO1 R N - B AH0 K +HORNBECK HH AO1 R N - B EH2 K +HORNBERGER HH AO1 R N - B ER0 - G ER0 +HORNBILL HH AO1 R N - B IH2 L +HORNBILLS HH AO1 R N - B IH2 L Z +HORNBLENDE HH AO1 R N - B L EH2 N D +HORNBLOWER HH AO1 R N - B L OW2 - ER0 +HORNBOOK HH AO1 R N - B UH2 K +HORNBOSTEL HH AO1 R N - B AH0 - S T AH0 L +HORNBOSTEL(2) HH AO1 R N - B AH0 - S AH0 L +HORNBROOK HH AO1 R N - B R UH2 K +HORNBUCKLE HH AO1 R N - B AH0 - K AH0 L +HORNBURG HH AO1 R N - B ER0 G +HORNBY HH AO1 R N - B IY0 +HORNE HH AO1 R N +HORNED HH AO1 R N D +HORNELL HH AO2 R - N EH1 L +HORNER HH AO1 R - N ER0 +HORNERE HH AO1 R - N ER0 +HORNET HH AO1 R - N IH0 T +HORNET'S HH AO1 R - N AH0 T S +HORNETS HH AO1 R - N AH0 T S +HORNEY HH AO1 R - N IY0 +HORNICK HH AO1 R - N IH0 K +HORNIG HH AO1 R - N IH0 G +HORNIK HH AO1 R - N IH0 K +HORNING HH AO1 R - N IH0 NG +HORNLESS HH AO1 R N - L AH0 S +HORNLIKE HH AO1 R N - L AY2 K +HORNOR HH AO1 R - N ER0 +HORNS HH AO1 R N Z +HORNSBY HH AO1 R N Z - B IY0 +HORNSTEIN HH AO1 R N - S T AY2 N +HORNSTEIN(2) HH AO1 R N - S T IY2 N +HORNUNG HH AO1 R - N AH0 NG +HORNY HH AO1 R - N IY0 +HORNYAK HH AO1 R N - Y AE0 K +HOROSCOPE HH AO1 - R AH0 - S K OW2 P +HOROSCOPES HH AO1 - R AH0 - S K OW2 P S +HOROVITZ HH AA1 - R AH0 - V IH0 T S +HOROWITZ HH AO1 - R OW0 - IH0 T S +HORR HH AO1 R +HORRELL HH AO1 - R AH0 L +HORRENDOUS HH AO2 - R EH1 N - D AH0 S +HORRENDOUSLY HH AO2 - R EH1 N - D AH0 S - L IY0 +HORRIBLE HH AO1 - R AH0 - B AH0 L +HORRIBLY HH AO1 - R AH0 - B L IY0 +HORRID HH AO1 - R AH0 D +HORRIFIC HH AO0 - R IH1 - F IH0 K +HORRIFIED HH AO1 - R AH0 - F AY2 D +HORRIFY HH AO1 - R AH0 - F AY2 +HORRIFYING HH AO1 - R AH0 - F AY2 - IH0 NG +HORRIGAN HH AO1 - R AH0 - G AH0 N +HORROCKS HH AO1 - R AH0 K S +HORROR HH AO1 - R ER0 +HORRORS HH AO1 - R ER0 Z +HORS HH AO1 R Z +HORS(2) AO2 R +HORS-D-OEUVRE AO2 R - D ER1 V +HORSCH HH AO1 R SH +HORSE HH AO1 R S +HORSE'S HH AO1 R - S AH0 Z +HORSEBACK HH AO1 R S - B AE2 K +HORSEFLESH HH AO1 R S - F L EH2 SH +HORSEHEAD HH AO1 R S - HH EH2 D +HORSELY HH AO1 R S - L IY0 +HORSEMAN HH AO1 R S - M AH0 N +HORSEMANSHIP HH AO1 R S - M AH0 N - SH IH0 P +HORSEMEN HH AO1 R S - M AH0 N +HORSEPLAY HH AO1 R S - P L EY2 +HORSEPOWER HH AO1 R S - P AW2 - ER0 +HORSERADISH HH AO1 R S - R AE2 - D IH0 SH +HORSES HH AO1 R - S AH0 Z +HORSES' HH AO1 R - S IH0 Z +HORSES(2) HH AO1 R - S IH0 Z +HORSESHOE HH AO1 R S - SH UW2 +HORSESHOES HH AO1 R S - SH UW2 Z +HORSETAIL HH AO1 R S - T EY2 L +HORSETAILS HH AO1 R S - T EY2 L Z +HORSEY HH AO1 R - S IY0 +HORSFALL HH AO1 R S - F AH0 L +HORSHAM HH AO1 R - SH AH0 M +HORSHAM'S HH AO1 R - SH AH0 M Z +HORSING HH AO1 R - S IH0 NG +HORSLEY HH AO1 R S - L IY0 +HORSMAN HH AO1 R S - M AH0 N +HORST HH AO1 R S T +HORSTMAN HH AO1 R S T - M AH0 N +HORSTMANN HH AO1 R S T - M AH0 N +HORTA HH AO1 R - T AH0 +HORTEN HH AO1 R - T AH0 N +HORTER HH AO1 R - T ER0 +HORTICULTURAL HH AO2 R - T AH0 - K AH1 L - CH ER0 - AH0 L +HORTICULTURE HH AO1 R - T IH0 - K AH2 L - CH ER0 +HORTICULTURIST HH AO2 R - T IH0 - K AH1 L - CH ER0 - IH0 S T +HORTMAN HH AO1 R T - M AH0 N +HORTON HH AO1 R - T AH0 N +HORUS HH AO1 - R AH0 S +HORVAC HH AO1 R - V AE0 K +HORVAC'S HH AO1 R - V AE0 K S +HORVAT HH AO1 R - V AH0 T +HORVATH HH AO1 R - V AE0 TH +HORVATH'S HH AO1 R - V AE0 TH S +HORVITZ HH AO1 R - V IH0 T S +HORWATH HH AO1 R - W AO0 TH +HORWICH HH AO1 R - W IH0 K +HORWITZ HH AO1 R - W IH0 T S +HOSACK HH AA1 - S AH0 K +HOSAKAWA HH OW0 - S AH0 - K AA1 - W AH0 +HOSCH HH AO1 SH +HOSE HH OW1 Z +HOSEA HH OW0 - S IY1 - AH0 +HOSEA'S HH OW0 - Z IY1 - AH0 Z +HOSEA'S(2) HH OW0 - Z EY1 - AH0 Z +HOSEA(2) HH OW0 - Z EY1 - AH0 +HOSED HH OW1 Z D +HOSEK HH OW1 - S EH0 K +HOSELTON HH AH0 - S EH1 L - T AH0 N +HOSES HH OW1 - Z IH0 Z +HOSEY HH OW1 - Z IY0 +HOSFORD HH AA1 S - F ER0 D +HOSHAW HH AA1 - SH AO0 +HOSHIMOTO HH OW0 - SH IY0 - M OW1 - T OW0 +HOSICK HH AA1 - S IH0 K +HOSIE HH OW1 - Z IY0 +HOSIERY HH OW1 - ZH ER0 - IY0 +HOSING HH OW1 - Z IH0 NG +HOSKIN HH AA1 S - K IH0 N +HOSKING HH AA1 - S K IH0 NG +HOSKINS HH AA1 S - K IH0 N Z +HOSKINSON HH AA1 S - K IH0 N - S AH0 N +HOSKYNS HH AO1 - S K IH0 N Z +HOSLER HH AA1 - S AH0 - L ER0 +HOSLER(2) HH AA1 S - L ER0 +HOSLEY HH AA1 S - L IY0 +HOSMAN HH AA1 S - M AH0 N +HOSNER HH AA1 S - N ER0 +HOSNI HH OW1 Z - N IY0 +HOSNI(2) HH AO1 S - N IY0 +HOSOKA HH OW2 - S AA1 - K AH0 +HOSOKA'S HH OW2 - S AA1 - K AH0 Z +HOSOKAWA HH OW2 - S AH0 - K AA1 - W AH0 +HOSOKAWA'S HH OW2 - S AH0 - K AA1 - W AH0 Z +HOSPICE HH AA1 S - P AH0 S +HOSPICE'S HH AA1 S - P AH0 - S IH0 Z +HOSPICES HH AA1 S - P AH0 - S IH0 Z +HOSPITABLE HH AA1 - S P IH1 - T AH0 - B AH0 L +HOSPITAL HH AA1 S - P IH2 - T AH0 L +HOSPITAL'S HH AA1 S - P IH2 - T AH0 L Z +HOSPITALITY HH AA2 S - P AH0 - T AE1 - L AH0 - T IY0 +HOSPITALIZATION HH AA2 S - P IH0 - T AH0 L - AH0 - Z EY1 - SH AH0 N +HOSPITALIZATIONS HH AA2 S - P IH0 - T AH0 L - AH0 - Z EY1 - SH AH0 N Z +HOSPITALIZE HH AO1 S - P IH2 - T AH0 L - AY2 Z +HOSPITALIZED HH AA1 S - P IH0 - T AH0 L - AY2 Z D +HOSPITALS HH AA1 S - P IH2 - T AH0 L Z +HOSPITALS' HH AO1 S - P IH0 - T AH0 L Z +HOSS HH AA1 S +HOSSACK HH AA1 - S AH0 K +HOSSAIN HH AH0 - S EY1 N +HOSSEIN HH AO1 - S EY2 N +HOSSEINI HH OW0 - S EY0 - IY1 - N IY0 +HOSSLER HH AA1 - S AH0 - L ER0 +HOSSLER(2) HH AA1 S - L ER0 +HOST HH OW1 S T +HOST'S HH OW1 S T S +HOSTAGE HH AA1 - S T IH0 JH +HOSTAGES HH AA1 - S T AH0 - JH AH0 Z +HOSTAGES' HH AO1 - S T IH0 - JH IH0 Z +HOSTED HH OW1 - S T IH0 D +HOSTEL HH AA1 - S T AH0 L +HOSTELS HH AA1 - S T AH0 L Z +HOSTENCH HH AO1 - S T AH0 N CH +HOSTER HH OW1 - S T ER0 +HOSTERMAN HH OW1 - S T ER0 - M AH0 N +HOSTESS HH OW1 - S T AH0 S +HOSTESSES HH OW1 - S T AH0 - S AH0 Z +HOSTESSES(2) HH OW1 - S T AH0 - S IH0 Z +HOSTETLER HH AA1 - S T IH0 - T AH0 L - ER0 +HOSTETTER HH AA1 - S T IH0 - T ER0 +HOSTETTLER HH AA1 - S T IH0 - T AH0 L - ER0 +HOSTETTLER(2) HH AA1 - S T EH0 T - L ER0 +HOSTILE HH AA1 - S T AH0 L +HOSTILE(2) HH AA0 - S T AY1 L +HOSTILITIES HH AA0 - S T IH1 - L AH0 - T IY0 Z +HOSTILITY HH AA0 - S T IH1 - L AH0 - T IY0 +HOSTING HH OW1 - S T IH0 NG +HOSTLER HH AA1 S - L ER0 +HOSTS HH OW1 S T S +HOSTS(2) HH OW1 S S +HOSTS(3) HH OW1 S +HOSTUTLER HH AA1 - S T UW0 - T AH0 L - ER0 +HOSTUTLER(2) HH AA1 - S T UW0 T - L ER0 +HOT HH AA1 T +HOT-CROSS HH AA1 T - K R AO1 S +HOT-LINE HH AA1 T - L AY1 N +HOTALING HH AA1 - T AH0 L - IH0 NG +HOTARD HH AA1 - T ER0 D +HOTBED HH AA1 T - B EH2 D +HOTBEDS HH AA1 T - B EH2 D Z +HOTCAKE HH AA1 T - K EY2 K +HOTCAKES HH AA1 T - K EY2 K S +HOTCHKIN HH AA1 CH - K IH0 N +HOTCHKISS HH AA1 CH - K IH0 S +HOTDOG HH AA1 T - D AO2 G +HOTDOGS HH AA1 T - D AO2 G Z +HOTEL HH OW0 - T EH1 L +HOTEL'S HH OW0 - T EH1 L Z +HOTELIER HH OW0 - T EH1 - L Y ER0 +HOTELIERS HH OW0 - T EH1 - L Y ER0 Z +HOTELS HH OW0 - T EH1 L Z +HOTELS' HH OW0 - T EH1 L Z +HOTH HH AA1 TH +HOTHOUSE HH AA1 T - HH AW2 S +HOTLANTA HH AO0 T - L AE1 N - T AH0 +HOTLINE HH AA1 T - L AY2 N +HOTLINES HH AA1 T - L AY2 N Z +HOTLY HH AA1 T - L IY0 +HOTS HH AA1 T S +HOTSHOT HH AA1 - CH AA2 T +HOTT HH AA1 T +HOTTEL HH AA1 - T AH0 L +HOTTELET HH AA1 T - L EH0 T +HOTTELET'S HH AA1 T - L EH0 T S +HOTTENSTEIN HH AA1 - T AH0 N - S T AY0 N +HOTTENSTEIN(2) HH AA1 - T AH0 N - S T IY0 N +HOTTER HH AA1 - T ER0 +HOTTEST HH AA1 - T AH0 S T +HOTTINGER HH AA1 - T IH0 - NG ER0 +HOTTLE HH AA1 - T AH0 L +HOTTMAN HH AA1 T - M AH0 N +HOTWIRE HH AA1 T - W AY2 - ER0 +HOTWIRED HH AA1 T - W AY2 - ER0 D +HOTZ HH AA1 T S +HOTZE HH OW1 T Z +HOU HH UW1 +HOUCHEN HH AW1 - K AH0 N +HOUCHENS HH AW1 - K AH0 N Z +HOUCHIN HH AW1 - K IH0 N +HOUCHINS HH AW1 - K IH0 N Z +HOUCK HH AW1 K +HOUDAILLE HH UW1 - D EY2 L +HOUDE HH AW1 D +HOUDEK HH AW1 - D IH0 K +HOUDESHELL HH UW1 - D IH0 - SH AH0 L +HOUDINI HH UW0 - D IY1 - N IY0 +HOUDINI'S HH UW0 - D IY1 - N IY0 Z +HOUFF HH OW1 F +HOUG HH AW1 G +HOUGE HH AW1 JH +HOUGEN HH AW1 - G AH0 N +HOUGH HH AH1 F +HOUGHAM HH AW1 - AH0 M +HOUGHLAND HH AW1 - L AH0 N D +HOUGHS HH AW1 Z +HOUGHTALING HH AO1 - T AH0 L - IH0 NG +HOUGHTON HH AO1 - T AH0 N +HOUGHTON'S HH AO1 - T AH0 N Z +HOUGLAND HH AW1 G - L AH0 N D +HOUK HH AW1 K +HOULE HH AW1 L +HOULIHAN HH UW1 - L IH0 - HH AE0 N +HOULIHAN'S HH UW1 - L IH0 - HH AE0 N Z +HOULTON HH OW1 L - T AH0 N +HOUND HH AW1 N D +HOUNDED HH AW1 N - D IH0 D +HOUNDING HH AW1 N - D IH0 NG +HOUNDS HH AW1 N D Z +HOUNSHELL HH AW1 N - SH AH0 L +HOUP HH UW1 P +HOUPT HH UW1 P T +HOUR AW1 - ER0 +HOUR'S AW1 - ER0 Z +HOUR(2) AW1 R +HOURGLASS AW1 - ER0 - G L AE2 S +HOURIGAN AW1 - R IH0 - G AE0 N +HOURIHAN AW0 - R IY1 - HH AA0 N +HOURLONG AW1 R - L AO2 NG +HOURLY AW1 R - L IY0 +HOURS AW1 - ER0 Z +HOURS' AW1 R Z +HOURS(2) AW1 R Z +HOUSAND HH AW1 - S AH0 N D +HOUSDEN HH AW1 S - D AH0 N +HOUSE HH AW1 S +HOUSE'S HH AW1 - S IH0 Z +HOUSEAL HH AW1 - S AH0 L +HOUSEBOAT HH AW1 S - B OW2 T +HOUSEBROKEN HH AW1 S - B R OW2 - K AH0 N +HOUSECLEANING HH AW1 S K - L IY2 - N IH0 NG +HOUSED HH AW1 Z D +HOUSEFUL HH AW1 S - F AH0 L +HOUSEGUEST HH AW1 S - G EH0 S T +HOUSEHOLD HH AW1 S - HH OW2 L D +HOUSEHOLD'S HH AW1 S - HH OW2 L D Z +HOUSEHOLDER HH AW1 S - HH OW2 L - D ER0 +HOUSEHOLDERS HH AW1 S - HH OW2 L - D ER0 Z +HOUSEHOLDS HH AW1 S - HH OW2 L D Z +HOUSEKEEPER HH AW1 S - K IY2 - P ER0 +HOUSEKEEPERS HH AW1 S - K IY2 - P ER0 Z +HOUSEKEEPING HH AW1 S - K IY2 - P IH0 NG +HOUSEKNECHT HH AW1 S K - N IH0 K T +HOUSEL HH AW1 - S AH0 L +HOUSEMAN HH AW1 S - M AH0 N +HOUSEMAN'S HH AW1 S - M AH0 N Z +HOUSER HH AW1 - Z ER0 +HOUSES HH AW1 - S AH0 Z +HOUSES' HH AW1 - S IH0 Z +HOUSES(2) HH AW1 - S IH0 Z +HOUSEWARE HH AW1 S - W EH2 R +HOUSEWARES HH AW1 S - W EH2 R Z +HOUSEWIFE HH AW1 S - W AY2 F +HOUSEWIVES HH AW1 S - W AY2 V Z +HOUSEWORK HH AW1 S - W ER2 K +HOUSEWORTH HH AW1 S - W ER2 TH +HOUSEWRIGHT HH AW1 S - R AY2 T +HOUSH HH AW1 SH +HOUSHOLDER HH AW1 SH - OW0 L - D ER0 +HOUSING HH AW1 - Z IH0 NG +HOUSINGS HH AW1 - Z IH0 NG Z +HOUSKA HH AW1 S - K AH0 +HOUSLEY HH AW1 S - L IY0 +HOUSMAN HH AW1 S - M AH0 N +HOUSTON HH Y UW1 - S T AH0 N +HOUSTON'S HH Y UW1 - S T AH0 N Z +HOUSTONIAN HH UW2 - S T OW1 - N IY0 - AH0 N +HOUSTONIAN(2) HH Y UW2 - S T OW1 - N IY0 - AH0 N +HOUT HH AW1 T +HOUTCHENS HH AW1 - CH AH0 N Z +HOUTEN HH AW1 - T EH0 N +HOUTEN'S HH AW1 - T EH0 N Z +HOUTMAN HH AW1 T - M AH0 N +HOUTS HH AW1 T S +HOUTZ HH AW1 T S +HOUX HH UW1 +HOUY HH AA1 - AY0 +HOUZE HH AW1 Z +HOVAN HH OW1 - V AH0 N +HOVANEC HH AH0 - V AE1 - N IH0 K +HOVATER HH OW1 - V AH0 - T ER0 +HOVATTER HH AA1 - V AH0 - T ER0 +HOVDA HH AA1 V - D AH0 +HOVDE HH OW1 V D +HOVDEN HH AA1 V - D AH0 N +HOVE HH OW1 V +HOVEL HH AH1 - V AH0 L +HOVELS HH AH1 - V AH0 L Z +HOVEN HH OW1 - V AH0 N +HOVER HH AH1 - V ER0 +HOVERCRAFT HH AH1 - V ER0 - K R AE2 F T +HOVERED HH AH1 - V ER0 D +HOVERFLIES HH AH1 - V ER0 - F L AY2 Z +HOVERFLY HH AH1 - V ER0 - F L AY2 +HOVERING HH AH1 - V ER0 - IH0 NG +HOVERING(2) HH AH1 - V R IH0 NG +HOVERMALE HH AH1 - V ER0 - M AH0 L +HOVERS HH AH1 - V ER0 Z +HOVERSON HH AH1 - V ER0 - S AH0 N +HOVEY HH OW1 - V IY0 +HOVHANESS HH AO2 V - HH AE1 - N IH0 S +HOVING HH OW1 - V IH0 NG +HOVIOUS HH OW1 - V IY0 - AH0 S +HOVIS HH OW1 - V IH0 S +HOVLAND HH AA1 V - L AH0 N D +HOVNANIAN HH AA2 V - N EY1 - N IY0 - AH0 N +HOVORKA HH AH0 - V AO1 R - K AH0 +HOVSEPIAN HH AH0 V - S IY1 - P IY0 - AH0 N +HOVY HH OW1 - V IY0 +HOW HH AW1 +HOW'D HH AW1 D +HOW'RE HH AW1 - ER0 +HOW'S HH AW1 Z +HOWALD HH AW1 - AH0 L D +HOWARD HH AW1 - ER0 D +HOWARD'S HH AW1 - ER0 D Z +HOWARTH HH AW1 - AA0 R TH +HOWAT HH AW1 - AH0 T +HOWATT HH AW1 - AH0 T +HOWCROFT HH AW1 - K R AH0 F T +HOWDEN HH AW1 - D AH0 N +HOWDESHELL HH AW1 - D IH0 - SH EH0 L +HOWDY HH AW1 - D IY0 +HOWDYSHELL HH AW1 - D IH0 - SH EH0 L +HOWE HH AW1 +HOWE'S HH AW1 Z +HOWELL HH AW1 - AH0 L +HOWELL'S HH AW1 - AH0 L Z +HOWELLS HH AW1 - AH0 L Z +HOWENSTINE HH AW1 - IH0 N - S T IY0 N +HOWER HH AW1 - ER0 +HOWERTER HH AW1 - ER0 - T ER0 +HOWERTON HH AW0 - ER1 - T AH0 N +HOWERY HH AW1 - ER0 - IY0 +HOWES HH AW1 Z +HOWETH HH AW1 - IH0 TH +HOWEVER HH AW2 - EH1 - V ER0 +HOWEY HH AW1 - IY0 +HOWIE HH AW1 - IY0 +HOWIE'S HH AW1 - IY0 Z +HOWINGTON HH AW1 - IH0 NG - T AH0 N +HOWISON HH AW1 - IH0 - S AH0 N +HOWITT HH AW1 - IH0 T +HOWITZER HH AW1 - AH0 T - S ER0 +HOWITZERS HH AW1 - AH0 T - S ER0 Z +HOWK HH AW1 K +HOWL HH AW1 L +HOWLAND HH AW1 - L AH0 N D +HOWLE HH AW1 - AH0 L +HOWLED HH AW1 L D +HOWLER HH AW1 - L ER0 +HOWLETT HH AW1 - L IH0 T +HOWLEY HH AW1 - L IY0 +HOWLING HH AW1 - L IH0 NG +HOWLS HH AW1 L Z +HOWMET HH AW1 - M AH0 T +HOWORTH HH AA1 - W ER0 TH +HOWRY HH AW1 - R IY0 +HOWSARE HH AW1 - S ER0 +HOWSE HH AW1 Z +HOWSELL HH AW1 - Z AH0 L +HOWSER HH AW1 - Z ER0 +HOWSON HH AW1 - S AH0 N +HOWTEK HH AW1 - T EH2 K +HOWTON HH AW1 - T AH0 N +HOWZE HH AW1 Z +HOXIE HH AA1 K - S IY0 +HOXSEY HH AA1 K - S IY0 +HOXSIE HH AA1 K - S IY0 +HOXWORTH HH AA1 K S - W ER0 TH +HOY HH OY1 +HOYE HH OY1 +HOYER HH OY1 - ER0 +HOYING HH OY1 - IH0 NG +HOYLAKE HH OY1 - L EY2 K +HOYLAND HH OY1 - L AH0 N D +HOYLE HH OY1 L +HOYNE HH OY1 N +HOYOS HH OY1 - OW0 Z +HOYT HH OY1 T +HOYVALD HH OY1 - V AH0 L D +HRABAK HH R AA1 - B AH0 K +HRABAK(2) R AA1 - B AH0 K +HRAWI HH ER0 - W AA1 - W IY0 +HRAWI(2) HH R AA1 - W IY0 +HRDLICKA HH ER0 D - L IH1 - S K AH0 +HREHA HH R IY1 - HH AH0 +HREHA(2) R IY1 - HH AH0 +HREN HH R EH1 N +HREN(2) R EH1 N +HRIBAR HH R IH0 - B AA1 R +HRIBAR(2) R IH0 - B AA1 R +HRITZ HH R IH1 T S +HRITZ(2) R IH1 T S +HRIVNAK HH R IH1 V - N AH0 K +HRIVNAK(2) R IH1 V - N AH0 K +HRNCIR HH ER1 N - CH ER0 +HRNCIR(2) HH ER1 N - S IH0 R +HRON HH R AA1 N +HRON(2) R AA1 N +HRONEK HH R OW1 - N IH0 K +HRONEK(2) R OW1 - N IH0 K +HROVAT HH R OW1 - V AH0 T +HROVAT(2) R OW1 - V AH0 T +HRUBIK HH IH0 - R UW1 - B IH0 K +HRUBIK(2) HH R UW1 - B IH0 K +HRUBIK(3) R UW1 - B IH0 K +HRUBY HH R UW1 - B IY0 +HRUBY(2) R UW1 - B IY0 +HRUSKA HH R AH1 - S K AH0 +HRUSKA(2) R AH1 - S K AH0 +HRUSKA(3) R UW1 - S K AH0 +HSIA SH AA1 +HSIAO SH AW1 +HSIEH SH IY0 - EH1 +HSIUNG SH IY0 - AH1 NG +HSIUNG'S SH Y AH1 NG Z +HSU SH UW1 +HU HH UW1 +HUA HH UW1 - AH0 +HUA(2) HH W AA1 +HUACHUCA HH W AA0 - CH UW1 - K AH0 +HUACHUCA(2) W AA0 - CH UW1 - K AH0 +HUADONG HH W AA1 - D OW2 NG +HUAIROU HH W AY1 - R UW0 +HUALLAGA HH W AA0 - L AA1 - G AH0 +HUALLAGA(2) W AA0 - L AA1 - G AH0 +HUAN HH W AA1 N +HUANENG HH W AA1 - N EH1 NG +HUANG HH W AE1 NG +HUARD HH W AA1 R D +HUB HH AH1 B +HUBBARD HH AH1 - B ER0 D +HUBBARD'S HH AH1 - B ER0 D Z +HUBBART HH AH1 - B ER0 T +HUBBELL HH AH1 - B AH0 L +HUBBELL'S HH AH1 - B AH0 L Z +HUBBERT HH AH1 - B ER0 T +HUBBLE HH AH1 - B AH0 L +HUBBLE'S HH AH1 - B AH0 L Z +HUBBS HH AH1 B Z +HUBBUB HH AH1 - B AH0 B +HUBBY HH AH1 - B IY0 +HUBCAP HH AH1 B - K AE2 P +HUBCAPS HH AH1 B - K AE2 P S +HUBCO HH AH1 B - K OW0 +HUBE HH Y UW1 B +HUBER HH Y UW1 - B ER0 +HUBERMAN HH UW1 - B ER0 - M AH0 N +HUBERS HH UW1 - B ER0 Z +HUBERT HH Y UW1 - B ER0 T +HUBERT'S HH Y UW1 - B ER0 T S +HUBERTA HH UW0 - B EH1 R - T AH0 +HUBERTO HH UW0 - B EH1 R - T OW0 +HUBERTY HH AH1 - B ER0 - T IY0 +HUBKA HH AH1 B - K AH0 +HUBLER HH Y UW1 - B AH0 L - ER0 +HUBLER(2) HH Y UW1 - B L ER0 +HUBLEY HH AH1 - B L IY0 +HUBNER HH AH1 B - N ER0 +HUBOR HH Y UW1 - B ER0 +HUBRIS HH Y UW1 - B R AH0 S +HUBS HH AH1 B Z +HUCH HH AH1 CH +HUCHISON HH AH1 - CH AH0 - S IH0 N +HUCK HH AH1 K +HUCKABA HH AH1 - K AH0 - B AH0 +HUCKABAY HH AH1 - K AH0 - B EY2 +HUCKABEE HH AH1 - K AH0 - B IY0 +HUCKABY HH AH1 - K AH0 - B IY0 +HUCKE HH AH1 K +HUCKEBA HH AH1 - K IH0 - B AH0 +HUCKELBY HH AH1 - K AH0 L - B IY0 +HUCKELBY'LL HH AH1 - K AH0 L - B IY0 - AH0 L +HUCKELBY'S HH AH1 - K AH0 L - B IY0 Z +HUCKER HH AH1 - K ER0 +HUCKINS HH AH1 - K IH0 N Z +HUCKLE HH AH1 - K AH0 L +HUCKLEBERRY HH AH1 - K AH0 L - B EH2 - R IY0 +HUCKS HH AH1 K S +HUCKSTEP HH AH1 K - S T IH0 P +HUCKSTER HH AH1 K - S T ER0 +HUCKSTERS HH AH1 K - S T ER0 Z +HUD HH AH1 D +HUD'S HH AH1 D Z +HUDAK HH UW1 - D AH0 K +HUDDIE HH AH1 - D IY0 +HUDDLE HH AH1 - D AH0 L +HUDDLED HH AH1 - D AH0 L D +HUDDLES HH AH1 - D AH0 L Z +HUDDLESON HH AH1 - D AH0 L - S AH0 N +HUDDLESTON HH AH1 - D AH0 L - S T AH0 N +HUDDLING HH AH1 - D AH0 L - IH0 NG +HUDDLING(2) HH AH1 D - L IH0 NG +HUDDY HH AH1 - D IY0 +HUDEC HH UW1 - D IH0 K +HUDECEK HH AH1 - D IH0 - CH EH0 K +HUDEK HH UW1 - D IH0 K +HUDELSON HH AH1 - D IH0 L - S AH0 N +HUDGENS HH AH1 - JH AH0 N Z +HUDGINS HH AH1 - JH IH0 N Z +HUDKINS HH AH1 D - K IH0 N Z +HUDLER HH UW1 - D AH0 - L ER0 +HUDLER(2) HH UW1 D - L ER0 +HUDLOW HH AH1 D - L OW0 +HUDMAN HH AH1 D - M AH0 N +HUDNALL HH AH1 D - N AH0 L +HUDNELL HH AH1 D - N AH0 L +HUDNUT HH AH1 D - N AH2 T +HUDOCK HH AH1 - D AH0 K +HUDON HH UW1 - D AH0 N +HUDSON HH AH1 D - S AH0 N +HUDSON'S HH AH1 D - S AH0 N Z +HUDSPETH HH AH1 D - S P IH0 TH +HUDSUCKER HH AH1 D - S AH2 - K ER0 +HUDWON HH AH1 D - W AH0 N +HUDY HH Y UW1 - D IY0 +HUDZIK HH AH1 D - Z IH0 K +HUE HH Y UW1 +HUEBEL HH UH1 - B AH0 L +HUEBER HH UH1 - B ER0 +HUEBERT HH UH1 - B ER0 T +HUEBNER HH Y UW1 B - N ER0 +HUEBSCH HH UH1 B SH +HUED HH Y UW1 D +HUEGEL HH UH1 - G AH0 L +HUEGLIN HH Y UW1 - G L IH0 N +HUELSKAMP HH UH1 L - S K AE0 M P +HUELSMAN HH UH1 L S - M AH0 N +HUELSMANN HH UH1 L S - M AH0 N +HUENINK HH UH1 - N IH0 NG K +HUERST HH ER1 S T +HUERTA HH W EH1 R - T AH2 +HUERTA(2) W EH1 R - T AH2 +HUERTER HH ER1 - T ER0 +HUES HH Y UW1 Z +HUESMAN HH UH1 S - M AH0 N +HUESTIS HH UH1 - S T IH0 S +HUESTON HH UH1 - S T AH0 N +HUETHER HH UH1 - DH ER0 +HUETT HH UW1 T +HUETTA HH UW0 - EH1 - T AH0 +HUETTE HH UW1 T +HUETTL HH UH1 - T AH0 L +HUETTNER HH UH1 T - N ER0 +HUEY HH Y UW1 - IY0 +HUFBAUER HH AH1 F - B AW2 - ER0 +HUFF HH AH1 F +HUFF'S HH AH1 F S +HUFFAKER HH AH1 - F AH0 - K ER0 +HUFFED HH AH1 F T +HUFFER HH AH1 - F ER0 +HUFFINE HH AH1 - F AY2 N +HUFFINES HH AH1 - F AY2 N Z +HUFFING HH AH1 - F IH0 NG +HUFFINGTON HH AH1 - F IH0 NG - T AH0 N +HUFFINGTON'S HH AH1 - F IH0 NG - T AH0 N Z +HUFFMAN HH AH1 F - M AH0 N +HUFFMASTER HH AH1 F - M AE2 - S T ER0 +HUFFORD HH AH1 - F ER0 D +HUFFS HH AH1 F S +HUFFSTETLER HH AH1 F - S T IH0 - T AH0 L - ER0 +HUFFSTETLER(2) HH AH1 F - S T EH0 T - L ER0 +HUFFSTUTLER HH AH1 F - S T UW0 - T AH0 L - ER0 +HUFFSTUTLER(2) HH AH1 F - S T UW0 T - L ER0 +HUFFY HH AH1 - F IY0 +HUFFY'S HH AH1 - F IY0 Z +HUFNAGEL HH AH1 F - N EY2 - G AH0 L +HUFNAGLE HH AH1 F - N EY2 - G AH0 L +HUFSTEDLER HH AH1 F - S T IH0 - D AH0 L - ER0 +HUFSTEDLER(2) HH AH1 F - S T IH0 D - L ER0 +HUFSTETLER HH AH1 F - S T IH0 - T AH0 L - ER0 +HUFSTETLER(2) HH AH1 F - S T EH0 T - L ER0 +HUG HH AH1 G +HUGE HH Y UW1 JH +HUGE(2) Y UW1 JH +HUGEL HH UW1 - G AH0 L +HUGELY HH Y UW1 JH - L IY0 +HUGEST HH Y UW1 - JH AH0 S T +HUGETTE HH AH0 - ZH EH1 T +HUGG HH AH1 G +HUGGARD HH AH1 - G ER0 D +HUGGED HH AH1 G D +HUGGER HH AH1 - G ER0 +HUGGETT HH AH1 - G IH0 T +HUGGIES HH AH1 - G IY0 Z +HUGGING HH AH1 - G IH0 NG +HUGGINS HH AH1 - G IH0 N Z +HUGGLER HH AH1 G - L ER0 +HUGGY HH AH1 - G IY0 +HUGH HH Y UW1 +HUGH(2) Y UW1 +HUGHART HH AH1 G - HH AA2 R T +HUGHART(2) HH Y UW1 - AA2 R T +HUGHART(3) Y UW1 - AA2 R T +HUGHBANKS HH AH1 - B AH0 NG K S +HUGHBANKS(2) HH Y UW1 - B AH0 NG K S +HUGHBANKS(3) Y UW1 - B AH0 NG K S +HUGHEN HH Y UW1 - AH0 N +HUGHEN(2) Y UW1 - AH0 N +HUGHES HH Y UW1 Z +HUGHES' HH Y UW1 Z +HUGHES'(2) Y UW1 Z +HUGHES'S HH Y UW1 - Z IH0 Z +HUGHES'S(2) Y UW1 - Z IH0 Z +HUGHES(2) Y UW1 Z +HUGHETT HH Y UW1 - IH0 T +HUGHETT(2) Y UW1 - IH0 T +HUGHETTE HH Y UW2 - EH1 T +HUGHETTE(2) Y UW2 - EH1 T +HUGHEY HH AH1 - G IY0 +HUGHEY(2) HH Y UW1 - IY0 +HUGHEY(3) Y UW1 - IY0 +HUGHIE HH Y UW1 - IY0 +HUGHIE(2) Y UW1 - IY0 +HUGHLETT HH Y UW1 - L IH0 T +HUGHLETT(2) Y UW1 - L IH0 T +HUGHLEY HH AH1 G - L IY0 +HUGHLEY(2) HH Y UW1 - L IY0 +HUGHLEY(3) Y UW1 - L IY0 +HUGHS Y UW1 Z +HUGHS(2) HH Y UW1 Z +HUGHSON HH AH1 G - S AH0 N +HUGHSON(2) HH Y UW1 - S AH0 N +HUGHSON(3) Y UW1 - S AH0 N +HUGHSTON HH AH1 G - S T AH0 N +HUGHSTON(2) HH Y UW1 - S T AH0 N +HUGHSTON(3) Y UW1 - S T AH0 N +HUGHY HH Y UW1 - IY0 +HUGHY(2) Y UW1 - IY0 +HUGILL HH AH1 - JH AH0 L +HUGLEY HH AH1 G - L IY0 +HUGO HH Y UW1 - G OW0 +HUGO'S HH Y UW1 - G OW0 Z +HUGO'S(2) Y UW1 - G OW0 Z +HUGO(2) Y UW1 - G OW0 +HUGOTON HH Y UW1 - G OW0 - T AH0 N +HUGOTON(2) Y UW1 - G OW0 - T AH0 N +HUGS HH AH1 G Z +HUGUENIN HH UW0 - G EY0 - N IY1 N +HUGUENOT HH Y UW1 - G AH0 - N AA2 T +HUGUENOT(2) Y UW1 - G AH0 - N AA2 T +HUGUENOTS HH Y UW1 - G AH0 - N AA2 T S +HUGUENOTS(2) Y UW1 - G AH0 - N AA2 T S +HUGUET HH UW1 - G EY0 T +HUGULEY HH AH1 - G Y UW0 - L IY0 +HUGUS HH Y UW1 - G AH0 S +HUGUS(2) Y UW1 - G AH0 S +HUH HH AH1 +HUHN HH AH1 N +HUHTA HH UW1 - T AH0 +HUI HH UW1 - IH0 +HUIBREGTSE HH UW1 - B R EH0 K T S +HUIE HH Y UW1 - IY0 +HUIE(2) Y UW1 - IY0 +HUISH HH Y UW1 - IH0 SH +HUISH(2) Y UW1 - IH0 SH +HUISHMAN HH UW1 S - M AH0 N +HUITT HH UW1 T +HUIZAR HH IH0 - Z AA1 R +HUIZENGA HH IH0 - Z EY1 NG - G AH0 +HUIZENGA'S HH IH0 - Z EY1 NG - G AH0 Z +HUIZINGA HH IH0 - Z IY1 NG - G AH0 +HUKILL HH Y UW1 - K IH0 L +HUKILL(2) Y UW1 - K IH0 L +HUKSTRA HH AH0 K - S T R AH0 +HULA HH UW1 - L AH0 +HULBARD HH AH1 L - B ER0 D +HULBERT HH AH1 L - B ER0 T +HULBERT'S HH AH1 L - B ER0 T S +HULBURD HH AH1 L - B ER0 D +HULBURT HH AH1 L - B ER0 T +HULCE HH AH1 L S +HULCE'S HH AH1 L - S AH0 Z +HULDIE HH AH1 - D IY0 +HULDY HH AH1 L - D IY0 +HULEN HH AH1 - L AH0 N +HULET HH UW1 - L IH0 T +HULETT HH Y UW1 - L IH0 T +HULETT(2) Y UW1 - L IH0 T +HULETTE HH Y UW2 - L EH1 T +HULETTE(2) Y UW2 - L EH1 T +HULGAN HH AH1 L - G AH0 N +HULICK HH Y UW1 - L IH0 K +HULICK(2) Y UW1 - L IH0 K +HULIN HH Y UW1 - L IH0 N +HULIN(2) Y UW1 - L IH0 N +HULING HH Y UW1 - L IH0 NG +HULING(2) Y UW1 - L IH0 NG +HULINGS HH Y UW1 - L IH0 NG Z +HULINGS(2) Y UW1 - L IH0 NG Z +HULK HH AH1 L K +HULKING HH AH1 L - K IH0 NG +HULKS HH AH1 L K S +HULL HH AH1 L +HULL'S HH AH1 L Z +HULLABALOO HH AH2 - L AH0 - B AH0 - L UW1 +HULLED HH AH1 L D +HULLENDER HH UW1 - L EH0 N - D ER0 +HULLETT HH UW1 - L IH0 T +HULLIBER HH AH1 - L IH0 - B ER0 +HULLINGER HH AH1 L - IH0 - NG ER0 +HULLINGER(2) HH AH1 - L IH0 N - JH ER0 +HULLS HH AH1 L Z +HULLUM HH AH1 - L AH0 M +HULME HH AH1 L M +HULON HH Y UW1 - L AH0 N +HULON'S HH Y UW1 - L AH0 N Z +HULOND HH Y UW1 - L AH0 N D +HULOND'S HH Y UW1 - L AH0 N D Z +HULS HH AH1 L Z +HULSE HH AH1 L S +HULSEBUS HH AH1 L - S IH0 - B IH0 S +HULSEY HH AH1 L - S IY0 +HULSIZER HH AH1 L - S AY2 - Z ER0 +HULSLANDER HH AH1 L S - L AH0 N - D ER0 +HULSMAN HH AH1 L S - M AH0 N +HULST HH AH1 L S T +HULT HH AH1 L T +HULT'S HH AH1 L T S +HULTBERG HH AH1 L T - B ER0 G +HULTGREN HH AH1 L T - G R EH0 N +HULTMAN HH AH1 L T - M AH0 N +HULTON HH AH1 L - T AH0 N +HULTQUIST HH AH1 L T - K W IH0 S T +HULTS HH AH1 L T S +HULTZ HH AH1 L T S +HULVEY HH AH1 L - V IY0 +HUM HH AH1 M +HUMAN HH Y UW1 - M AH0 N +HUMAN'S HH Y UW1 - M AH0 N Z +HUMAN(2) Y UW1 - M AH0 N +HUMANA HH Y UW0 - M AE1 - N AH0 +HUMANA'S HH Y UW0 - M AE1 - N AH0 Z +HUMANE HH Y UW0 - M EY1 N +HUMANELY HH Y UW0 - M EY1 N - L IY0 +HUMANISM HH Y UW1 - M AH0 - N IH2 - Z AH0 M +HUMANIST HH Y UW1 - M AH0 - N IH0 S T +HUMANISTIC HH Y UW2 - M AH0 - N IH1 - S T IH0 K +HUMANISTS HH Y UW1 - M AH0 - N AH0 S T S +HUMANISTS(2) HH Y UW1 - M AH0 - N AH0 S S +HUMANISTS(3) HH Y UW1 - M AH0 - N AH0 S +HUMANITARIAN HH Y UW2 - M AE2 - N AH0 - T EH1 - R IY0 - AH0 N +HUMANITARIAN(2) Y UW2 - M AE2 - N AH0 - T EH1 - R IY0 - AH0 N +HUMANITARIANS HH Y UW2 - M AE2 - N AH0 - T EH1 - R IY0 - AH0 N Z +HUMANITARIANS(2) Y UW2 - M AE2 - N AH0 - T EH1 - R IY0 - AH0 N Z +HUMANITIES HH Y UW0 - M AE1 - N IH0 - T IY0 Z +HUMANITIES(2) Y UW0 - M AE1 - N IH0 - T IY0 Z +HUMANITY HH Y UW0 - M AE1 - N IH0 - T IY0 +HUMANITY'S HH Y UW0 - M AE1 - N IH0 - T IY0 Z +HUMANITY'S(2) Y UW0 - M AE1 - N IH0 - T IY0 Z +HUMANITY(2) Y UW0 - M AE1 - N IH0 - T IY0 +HUMANIZE HH Y UW1 - M AH0 - N AY2 Z +HUMANIZED HH Y UW1 - M AH0 - N AY2 Z D +HUMANIZES HH Y UW1 - M AH0 - N AY2 - Z IH0 Z +HUMANIZING HH Y UW1 - M AH0 - N AY2 - Z IH0 NG +HUMANKIND HH Y UW1 - M AH0 N - K AY2 N D +HUMANKIND'S HH Y UW1 - M AH0 N - K AY2 N D Z +HUMANLY HH Y UW1 - M AH0 N - L IY0 +HUMANN HH Y UW1 - M AH0 N +HUMANNESS HH Y UW1 - M AH0 N - N AH0 S +HUMANS HH Y UW1 - M AH0 N Z +HUMANS(2) Y UW1 - M AH0 N Z +HUMBARGER HH AH1 M - B AA2 R - G ER0 +HUMBER HH AH1 M - B ER0 +HUMBERT HH AH1 M - B ER0 T +HUMBERTO HH AH0 M - B ER1 - T OW2 +HUMBERTO(2) UW2 M - B EH1 R - T OW2 +HUMBLE HH AH1 M - B AH0 L +HUMBLED HH AH1 M - B AH0 L D +HUMBLER HH AH1 M - B AH0 L - ER0 +HUMBLER(2) HH AH1 M - B L ER0 +HUMBLES HH AH1 M - B AH0 L Z +HUMBLEST HH AH1 M - B AH0 - L AH0 S T +HUMBLING HH AH1 M - B AH0 L - IH0 NG +HUMBLING(2) HH AH1 M - B L IH0 NG +HUMBLY HH AH1 M - B L IY0 +HUMBOLDT HH AH1 M - B OW2 L T +HUMBUG HH AH1 M - B AH2 G +HUMBURG HH AH1 M - B ER0 G +HUMDINGER HH AH1 M - D IH0 - NG ER0 +HUMDRUM HH AH1 M - D R AH2 M +HUME HH Y UW1 M +HUMENIK HH Y UW1 - M IH0 - N IH0 K +HUMEROUS HH Y UW1 - M ER0 - AH0 S +HUMEROUS(2) Y UW1 - M ER0 - AH0 S +HUMERUS HH Y UW1 - M ER0 - AH0 S +HUMES HH Y UW1 M Z +HUMFREY HH AH1 M - F R IY0 +HUMFRY HH AH1 M - F ER0 - IY0 +HUMI HH Y UW1 - M IY0 +HUMID HH Y UW1 - M AH0 D +HUMID(2) HH Y UW1 - M IH0 D +HUMID(3) Y UW1 - M AH0 D +HUMID(4) Y UW1 - M IH0 D +HUMIDIFIER HH Y UW0 - M IH1 - D AH0 - F AY2 - ER0 +HUMIDIFIERS HH Y UW0 - M IH1 - D AH0 - F AY2 - ER0 Z +HUMIDITY HH Y UW0 - M IH1 - D AH0 - T IY0 +HUMIDITY'S HH Y UW0 - M IH1 - D AH0 - T IY0 Z +HUMIDOR HH Y UW1 - M IH0 - D AO2 R +HUMILIATE HH Y UW0 - M IH1 - L IY0 - EY2 T +HUMILIATED HH Y UW0 - M IH1 - L IY0 - EY2 - T IH0 D +HUMILIATING HH Y UW0 - M IH1 - L IY0 - EY2 - T IH0 NG +HUMILIATION HH Y UW0 - M IH2 - L IY0 - EY1 - SH AH0 N +HUMILIATIONS HH Y UW2 - M IH2 - L IY0 - EY1 - SH AH0 N Z +HUMILITY HH Y UW0 - M IH1 - L IH0 - T IY0 +HUMISTON HH Y UW1 - M IH0 - S T AA0 N +HUMKE HH AH1 M - K IY0 +HUML HH AH1 - M AH0 L +HUMM HH AH1 M +HUMMEL HH AH1 - M AH0 L +HUMMELL HH AH1 - M AH0 L +HUMMER HH AH1 - M ER0 +HUMMING HH AH1 - M IH0 NG +HUMMINGBIRD HH AH1 - M IH0 NG - B ER2 D +HUMMINGBIRDS HH AH1 - M IH0 NG - B ER2 D Z +HUMONGOUS HH Y UW0 - M AO1 NG - G AH0 S +HUMOR HH Y UW1 - M ER0 +HUMORAL HH Y UW1 - M ER0 - AH0 L +HUMORED HH Y UW1 - M ER0 D +HUMORIST HH Y UW1 - M ER0 - AH0 S T +HUMORIST(2) HH Y UW1 - M ER0 - IH0 S T +HUMORISTS HH Y UW1 - M ER0 - IH0 S T S +HUMORISTS(2) HH Y UW1 - M ER0 - IH0 S S +HUMORISTS(3) HH Y UW1 - M ER0 - IH0 S +HUMORLESS HH Y UW1 - M ER0 - L AH0 S +HUMOROUS HH Y UW1 - M ER0 - AH0 S +HUMOROUSLY HH Y UW1 - M ER0 - AH0 S - L IY0 +HUMP HH AH1 M P +HUMPAL HH AH1 M - P AH0 L +HUMPBACK HH AH1 M P - B AE2 K +HUMPED HH AH1 M P T +HUMPERT HH AH1 M - P ER2 T +HUMPH HH AH1 M F +HUMPHERY HH AH1 M - F ER0 - IY0 +HUMPHERY(2) HH AH1 M - F R IY0 +HUMPHERY(3) HH AH1 M P - F ER0 - IY0 +HUMPHERY(4) HH AH1 M P - F R IY0 +HUMPHERYS HH AH1 M - F ER0 - IY0 Z +HUMPHERYS(2) HH AH1 M - F R IY0 Z +HUMPHERYS(3) HH AH1 M P - F ER0 - IY0 Z +HUMPHREY'S HH AH1 M - F R IY0 Z +HUMPHREY'S(2) HH AH1 M P - F R IY0 Z +HUMPHREYS(4) HH AH1 M P - F R IY0 Z +HUMPHRIES HH AH1 M - F ER0 - IY0 Z +HUMPHRIES(2) HH AH1 M P - F ER0 - IY0 Z +HUMPHRY HH AH1 M - F R IY0 +HUMPHRY(2) HH AH1 M P - F R IY0 +HUMPTY HH AH1 M P - T IY0 +HUMS HH AH1 M Z +HUMULIN HH Y UW2 - M Y UW1 - L IH0 N +HUMUS HH Y UW1 - M AH0 S +HUMVEE HH AH1 M - V IY2 +HUMVEE'S HH AH1 M - V IY2 Z +HUMVEES HH AH1 M - V IY2 Z +HUN HH AH1 N +HUNAN HH UW1 - N AA0 N +HUNCH HH AH1 N CH +HUNCHBACK HH AH1 N CH - B AE2 K +HUNCHED HH AH1 N CH T +HUNCHES HH AH1 N - CH IH0 Z +HUNCHINE HH AH0 - CH IY1 N +HUND HH AH1 N D +HUNDAI HH AH1 N - D EY0 +HUNDERTMARK HH AH1 N - D ER0 T - M AA2 R K +HUNDLEY HH AH1 N D - L IY0 +HUNDRED HH AH1 N - D R AH0 D +HUNDRED'S HH AH1 N - D R IH0 D Z +HUNDRED(2) HH AH1 N - D R IH0 D +HUNDRED(3) HH AH1 - N ER0 D +HUNDRED(4) HH AH1 N - D ER0 D +HUNDREDS HH AH1 N - D R AH0 D Z +HUNDREDS(2) HH AH1 N - D ER0 D Z +HUNDREDS(2) HH AH1 - N ER0 D Z +HUNDREDTH HH AH1 N - D R AH0 D TH +HUNDREDTHS HH AH1 N - D R AH0 D TH S +HUNDREDWEIGHT HH AH1 N - D R AH0 D - W EY2 T +HUNDT HH AH1 N T +HUNEKE HH AH1 - N IH0 K +HUNEYCUTT HH AH1 - N IY0 - K AH0 T +HUNG HH AH1 NG +HUNGARIAN HH AH0 NG - G EH1 - R IY0 - AH0 N +HUNGARIANS HH AH0 NG - G EH1 - R IY0 - AH0 N Z +HUNGARY HH AH1 NG - G ER0 - IY0 +HUNGARY'S HH AH1 NG - G ER0 - IY0 Z +HUNGATE HH AH1 - NG EY0 T +HUNGER HH AH1 NG - G ER0 +HUNGERFORD HH AH1 NG - G ER0 - F ER0 D +HUNGERFORDS HH AH1 NG - G ER0 - F ER0 D Z +HUNGERING HH AH1 NG - G ER0 - IH0 NG +HUNGRIER HH AH1 NG - G R IY0 - ER0 +HUNGRILY HH AH1 NG - G R AH0 - L IY0 +HUNGRY HH AH1 NG - G R IY0 +HUNK HH AH1 NG K +HUNKE HH AH1 NG K +HUNKELE HH AH1 NG - K AH0 L +HUNKER HH AH1 NG - K ER0 +HUNKERED HH AH1 NG - K ER0 D +HUNKERING HH AH1 NG - K ER0 - IH0 NG +HUNKINS HH AH1 NG - K IH0 N Z +HUNKS HH AH1 NG K S +HUNKY HH AH1 NG - K IY0 +HUNLEY HH AH1 N - L IY0 +HUNN HH AH1 N +HUNNELL HH AH1 - N AH0 L +HUNNEWELL HH AH1 - N IH0 - W EH0 L +HUNNICUTT HH AH1 - N IH0 - K AH0 T +HUNSAKER HH AH1 N - S AH0 - K ER0 +HUNSBERGER HH AH1 N S - B ER0 - G ER0 +HUNSICKER HH AH1 N - S IH0 - K ER0 +HUNSINGER HH AH1 N - S IH0 - NG ER0 +HUNSLEY HH AH1 N S - L IY0 +HUNSUCKER HH AH1 N - S AH0 - K ER0 +HUNT HH AH1 N T +HUNT'S HH AH1 N T S +HUNTCO HH AH1 N T - K OW0 +HUNTE HH AH1 N T +HUNTED HH AH1 N - T AH0 D +HUNTED(2) HH AH1 N - T IH0 D +HUNTED(3) HH AH1 - N AH0 D +HUNTED(4) HH AH1 - N IH0 D +HUNTER HH AH1 N - T ER0 +HUNTER'S HH AH1 N - T ER0 Z +HUNTERS HH AH1 N - T ER0 Z +HUNTING HH AH1 N - T IH0 NG +HUNTINGDON HH AH1 N - T IH0 NG - D IH0 N +HUNTINGTON HH AH1 N - T IH0 NG - T AH0 N +HUNTINGTON'S HH AH1 N - T IH0 NG - T AH0 N Z +HUNTLEY HH AH1 N T - L IY0 +HUNTLY HH AH1 N T - L IY0 +HUNTON HH AH1 N - T AH0 N +HUNTOON HH AH0 N - T UW1 N +HUNTRESS HH AH1 N - T R IH0 S +HUNTS HH AH1 N T S +HUNTS' HH AH1 N T S +HUNTSINGER HH AH1 N T - S IH0 N - JH ER0 +HUNTSMAN HH AH1 N T S - M AH0 N +HUNTSVILLE HH AH1 N T S - V IH0 L +HUNTWAY HH AH1 N T - W EY2 +HUNTZINGER HH AH1 N T - Z IH0 - NG ER0 +HUNZA HH AH1 N - Z AH0 +HUNZEKER HH AH1 N - Z IH0 - K ER0 +HUNZIKER HH AH1 N - Z IH0 - K ER0 +HUOT HH Y UW1 - AH0 T +HUPE HH Y UW1 P +HUPFER HH AH1 P - F ER0 +HUPP HH AH1 P +HUPPERT HH AH1 - P ER0 T +HUR HH ER1 +HURCO HH ER1 - K OW2 +HURD HH ER1 D +HURDLE HH ER1 - D AH0 L +HURDLER HH ER1 - D AH0 L - ER0 +HURDLER(2) HH ER1 D - L ER0 +HURDLES HH ER1 - D AH0 L Z +HURDLING HH ER1 - D AH0 L - IH0 NG +HURDLING(2) HH ER1 D - L IH0 NG +HURDMAN HH ER1 D - M AH0 N +HURFORD HH ER1 - F ER0 D +HURL HH ER1 L +HURLBERT HH ER1 L - B ER0 T +HURLBURT HH ER1 L - B ER0 T +HURLBUT HH ER1 L - B AH0 T +HURLBUTT HH ER1 L - B AH0 T +HURLED HH ER1 L D +HURLESS HH ER1 - L AH0 S +HURLEY HH ER1 - L IY0 +HURLING HH ER1 - L IH0 NG +HURLOCK HH ER1 - L AH0 K +HURLY HH ER1 - L IY0 +HURM HH ER1 M +HURN HH ER1 N +HURNEY HH ER1 - N IY0 +HURON HH Y UW1 - R AA2 N +HURON(2) HH Y UH1 - R AA2 N +HURRAH HH UH0 - R AA1 +HURRAY HH AH0 - R EY1 +HURRELL HH AO1 - R AH0 L +HURRICANE HH ER1 - AH0 - K EY2 N +HURRICANE'S HH ER1 - AH0 - K EY2 N Z +HURRICANE(2) HH AH1 - R AH0 - K EY2 N Z +HURRICANES HH ER1 - AH0 - K EY2 N Z +HURRIED HH ER1 - IY0 D +HURRIEDLY HH ER1 - IY0 D - L IY0 +HURRIES HH ER1 - IY0 Z +HURRY HH ER1 - IY0 +HURRYING HH ER1 - IY0 - IH0 NG +HURSEY HH ER1 - S IY0 +HURSH HH ER1 SH +HURST HH ER1 S T +HURSTON HH ER1 - S T AH0 N +HURT HH ER1 T +HURTA HH ER1 - T AH0 +HURTADO HH ER0 - T AA1 - D OW0 +HURTEAU HH ER0 - T OW1 +HURTFUL HH ER1 T - F AH0 L +HURTIG HH ER1 - T IH0 G +HURTING HH ER1 - T IH0 NG +HURTLE HH ER1 - T AH0 L +HURTLING HH ER1 T - L IH0 NG +HURTS HH ER1 T S +HURTT HH ER1 T +HURTUBISE HH ER1 - T AH0 - B AY0 Z +HURVEY HH ER1 - V IY0 +HURVITZ HH ER1 - V IH0 T S +HURWITZ HH ER1 - W IH0 T S +HUSAIN HH AH1 - S AY0 N +HUSAK HH UW1 - S AH0 K +HUSAR HH UW1 - S ER0 +HUSBAND HH AH1 Z - B AH0 N D +HUSBAND'S HH AH1 Z - B AH0 N D Z +HUSBANDRY HH AH1 Z - B AH0 N - D R IY0 +HUSBANDS HH AH1 Z - B AH0 N D Z +HUSBANDS' HH AH1 S - B AH0 N D Z +HUSBY HH AH1 S - B IY0 +HUSCHKA HH AH1 SH - K AH0 +HUSE HH Y UW1 Z +HUSEBY HH AH1 - S IH0 - B IY0 +HUSEMAN HH UW1 S - M AH0 N +HUSEN HH UW1 - S AH0 N +HUSER HH Y UW1 - Z ER0 +HUSH HH AH1 SH +HUSHED HH AH1 SH T +HUSIC HH Y UW1 - Z IH0 K +HUSK HH AH1 S K +HUSKA HH AH1 S - K AH0 +HUSKEY HH AH1 S - K IY0 +HUSKINS HH AH1 - S K IH0 N Z +HUSKS HH AH1 S K S +HUSKY HH AH1 S - K IY0 +HUSKY'S HH AH1 S - K IY0 Z +HUSMAN HH AH1 S - M AH0 N +HUSMANN HH AH1 S - M AH0 N +HUSON HH UW1 - S AH0 N +HUSS HH AH1 S +HUSSAIN HH UW0 - S EY1 N +HUSSAR HH AH1 - S ER0 +HUSSEIN HH UW0 - S EY1 N +HUSSEIN'S HH UW0 - S EY1 N Z +HUSSEINI HH Y UW0 - S EY1 - N IY0 +HUSSEINI(2) HH UW0 - S EY1 - N IY0 +HUSSER HH AH1 - S ER0 +HUSSEY HH AH1 - S IY0 +HUSSITE HH AH1 - S AY2 T +HUSSMAN HH AH1 S - M AH0 N +HUSSON HH AH1 - S AH0 N +HUSSONG HH AH1 - S AO2 NG +HUSSY HH AH1 - S IY0 +HUST HH AH1 S T +HUSTAD HH AH1 - S T AH0 D +HUSTEAD HH AH1 - S T EH0 D +HUSTED HH AH1 - S T IH0 D +HUSTER HH AH1 - S T ER0 +HUSTINGS HH AH1 - S T IH0 NG Z +HUSTLE HH AH1 - S AH0 L +HUSTLED HH AH1 - S AH0 L D +HUSTLER HH AH1 - S AH0 - L ER0 +HUSTLER(2) HH AH1 S - L ER0 +HUSTLERS HH AH1 - S AH0 - L ER0 Z +HUSTLERS(2) HH AH1 S - L ER0 Z +HUSTLES HH AH1 - S AH0 L Z +HUSTLING HH AH1 - S AH0 - L IH0 NG +HUSTLING(2) HH AH1 - S L IH0 NG +HUSTON HH AH1 - S T AH0 N +HUT HH AH1 T +HUT'S HH AH1 T S +HUTA HH UW1 - T AH0 +HUTCH HH AH1 CH +HUTCHCRAFT HH AH1 CH - K R AE2 F T +HUTCHENS HH AH1 - CH AH0 N Z +HUTCHEON HH AH1 - CH IY0 - AH0 N +HUTCHERSON HH AH1 - CH ER0 - S AH0 N +HUTCHESON HH AH1 - CH IH0 - S AH0 N +HUTCHINGS HH AH1 - CH IH0 NG Z +HUTCHINS HH AH1 T - CH IH2 N Z +HUTCHINSON HH AH1 - CH IH0 N - S AH0 N +HUTCHISON HH AH1 - CH IH0 - S AH0 N +HUTCHISON'S HH AH1 - CH IH0 - S AH0 N Z +HUTH HH UW1 TH +HUTMACHER HH AH1 T - M AH0 - K ER0 +HUTNICK HH AH1 T - N IH0 K +HUTO HH UW1 - T OW2 +HUTS HH AH1 T S +HUTSELL HH AH1 T - S AH0 L +HUTSON HH AH1 T - S AH0 N +HUTT HH AH1 T +HUTTER HH AH1 - T ER0 +HUTTNER HH AH1 T - N ER0 +HUTTO HH UW1 - T OW0 +HUTTON HH AH1 - T AH0 N +HUTTON'S HH AH1 - T AH0 N Z +HUTU HH UW1 - T UW2 +HUTU'S HH UW1 - T UW2 Z +HUTUS HH UW1 - T UW2 Z +HUTZEL HH AH1 T - Z AH0 L +HUTZELL HH AH1 T - Z AH0 L +HUTZELMAN HH AH1 T - S AH0 L - M AH0 N +HUTZLER HH AH1 T S - L ER0 +HUVAL HH UW0 - V AE1 L +HUWE HH UW1 W +HUX HH AH1 K S +HUXFORD HH AH1 K S - F ER0 D +HUXLEY HH AH1 K S - L IY0 +HUXTABLE HH AH1 K - S T AH0 - B AH0 L +HUXTABLES HH AH1 K - S T AH0 - B AH0 L Z +HUYCK HH AY1 K +HUYETT HH AY1 - IH0 T +HUYLER HH AY1 - L ER0 +HUYNH HH AY1 N +HUYSER HH AY1 - S ER0 +HWA HH W AA1 +HWAN HH W AA1 N +HWAN'S HH W AA1 N Z +HWANG HH W AE1 NG +HWANG(2) HH W AA1 NG +HWANG-HO HH W AE1 NG - HH OW1 +HWANG-HO(2) HH W AA1 NG - HH OW1 +HWE HH W EY1 +HY HH AY1 +HYACINTH HH AY1 - AH0 - S IH2 N TH +HYACINTHA HH AY2 - AH0 - S IH1 N - TH AH0 +HYACINTHE HH AY1 - AH0 - S IH0 N TH +HYACINTHIA HH AY2 - AH0 - S IH1 N - TH IY0 - AH0 +HYACINTHIE HH AY1 - AH0 - S IH2 N - TH IY0 +HYACINTHS HH AY1 - AH0 - S IH0 N TH S +HYADES HH AY1 - AH0 - D IY2 Z +HYAKUTAKE HH AY1 - AH0 - K UW0 - T AA2 - K IY0 +HYAKUTAKE(2) HH AY1 - AH0 - K Y UW0 - T AA2 - K IY0 +HYALURONIC HH AY2 - AH0 - L ER0 - AA1 - N IH0 K +HYAMS HH AY1 - AH0 M Z +HYANNIS HH AY0 - AE1 - N IH0 S +HYANNISPORT HH AY0 - AE1 - N IH0 - S P AO0 R T +HYATT HH AY1 - AH0 T +HYATT'S HH AY1 - AH0 T S +HYBL HH IH1 - B AH0 L +HYBL'S HH IH1 - B AH0 L Z +HYBRID HH AY1 - B R AH0 D +HYBRID(2) HH AY1 - B R IH0 D +HYBRIDIZATION HH AY2 - B R AH0 - D AH0 - Z EY1 - SH AH0 N +HYBRIDIZE HH AY1 - B R AH0 - D AY2 Z +HYBRIDS HH AY1 - B R AH0 D Z +HYBRIENKO HH AY1 - B R IY0 - EH2 N - K OW0 +HYBRITECH HH AY1 - B R IH0 - T EH2 K +HYCHE HH AY1 CH +HYCOR HH AY1 - K AO2 R +HYCROFT HH AY1 - K R AO2 F T +HYDE HH AY1 D +HYDE'S HH AY1 D Z +HYDEA HH AY2 - D IY1 - AH0 +HYDEA(2) HH AY2 - D EY1 - AH0 +HYDEIA HH AY1 - D EY1 - AH0 +HYDEN HH AY1 - D AH0 N +HYDER HH AY1 - D ER0 +HYDERABAD HH AY0 - D EH1 - R AH0 - B AE2 D +HYDERABAD(2) HH AY1 - D ER0 - AH0 - B AE2 D +HYDOCK HH AY1 - D AH0 K +HYDRA HH AY1 - D R AH0 +HYDRANT HH AY1 - D R AH0 N T +HYDRANTS HH AY1 - D R AH0 N T S +HYDRAS HH AY1 - D R AH0 Z +HYDRATE HH AY1 - D R EY2 T +HYDRATED HH AY1 - D R EY2 - T AH0 D +HYDRATION HH AY0 - D R EY1 - SH AH0 N +HYDRAULIC HH AY0 - D R AO1 - L IH0 K +HYDRAULICS HH AY0 - D R AO1 - L IH0 K S +HYDRAZINE HH AY1 - D R AH0 - Z IY2 N +HYDRICK HH IH1 - D R IH0 K +HYDRIDE HH AY1 - D R AY2 D +HYDRO HH AY1 - D R OW2 +HYDRO'S HH AY1 - D R OW2 Z +HYDROCARBON HH AY2 - D R OW0 - K AA1 R - B AH0 N +HYDROCARBONS HH AY2 - D R OW0 - K AA1 R - B AH0 N Z +HYDROELECTRIC HH AY2 - D R OW0 - IH0 - L EH1 K - T R IH0 K +HYDROFOIL HH AY1 - D R AH0 - F OY2 L +HYDROGEN HH AY1 - D R AH0 - JH AH0 N +HYDROGENATE HH AY1 - D R AH0 - JH AH0 - N EY2 T +HYDROGENATED HH AY1 - D R AH0 - JH AH0 - N EY2 - T IH0 D +HYDROGENATED(2) HH AY0 - D R AA1 - JH AH0 - N EY2 - T IH0 D +HYDROGENATES HH AY1 - D R AH0 - JH AH0 - N EY2 T S +HYDROGENATING HH AY1 - D R AH0 - JH AH0 - N EY2 - T IH0 NG +HYDROGENATION HH AY2 - D R AA2 - JH AH0 - N EY1 - SH AH0 N +HYDROGENS HH AY1 - D R AH0 - JH AH0 N Z +HYDROGRAPHIC HH AY2 - D R AH0 - G R AE1 - F IH0 K +HYDROLYSIS HH AY0 - D R AA1 - L AH0 - S AH0 S +HYDROLYZE HH AY1 - D R AH0 - L AY2 Z +HYDROLYZED HH AY1 - D R AH0 - L AY2 Z D +HYDROLYZING HH AY1 - D R AH0 - L AY2 - Z IH0 NG +HYDROMETER HH AY0 - D R AA1 - M AH0 - T ER0 +HYDRON HH AY1 - D R AH0 N +HYDROPHILIC HH AY2 - D R AH0 - F IH1 - L IH0 K +HYDROPONIC HH AY2 - D R AH0 - P AA1 - N IH0 K +HYDROPOWER HH AY1 - D R OW0 - P AW2 R +HYDROSOL HH AY1 - D R AH0 - S AA2 L +HYDROSULFIDE HH AY2 - D R OW0 - S AH1 L - F AY2 D +HYDROTHERAPY HH AY2 - D R OW0 - TH EH1 - R AH0 - P IY0 +HYDROTHERMAL HH AY2 - D R OW0 - TH ER1 - M AH0 L +HYDROUS HH AY1 - D R AH0 S +HYDROX HH AY1 - D R AO2 K S +HYDROXIDE HH AY0 - D R AA1 K - S AY0 D +HYDROXIDES HH AY0 - D R AA1 K - S AY0 D Z +HYDROXY HH AY2 - D R AO1 K - S IY0 +HYDSTRA HH AY1 D - S T R AH0 +HYE HH AY0 +HYENA HH AY0 - IY1 - N AH0 +HYENAS HH AY0 - IY1 - N AH0 Z +HYER HH AY1 - ER0 +HYERS HH AY1 - ER0 Z +HYGEIA HH AY2 - JH EY1 - AH0 +HYGIENE HH AY1 - JH IY2 N +HYGIENIST HH AY2 - G IY1 - N IH0 S T +HYGIENIST(2) HH AY2 - G EH1 - N IH0 S T +HYGIENISTS HH AY2 - G IY1 - N IH0 S T S +HYGIENISTS(2) HH AY2 - G IY1 - N IH0 S S +HYGIENISTS(3) HH AY2 - G IY1 - N IH0 S +HYGIENISTS(4) HH AY2 - G EH1 - N IH0 S T S +HYGIENISTS(5) HH AY2 - G EH1 - N IH0 S S +HYGIENISTS(6) HH AY2 - G EH1 - N IH0 S +HYGROMETER HH AY0 - G R AA1 - M AH0 - T ER0 +HYKES HH AY1 K S +HYLAND HH AY1 - L AH0 N D +HYLE HH AY1 L +HYLER HH AY1 - L ER0 +HYLSA HH AY1 L - S AH0 +HYMAN HH AY1 - M AH0 N +HYMANS HH AY1 - M AH0 N Z +HYMAS HH AY1 - M AH0 Z +HYMEL HH AY1 - M AH0 L +HYMEN HH AY1 - M AH0 N +HYMER HH AY1 - M ER0 +HYMES HH AY1 M Z +HYMIE HH AY1 - M IY0 +HYMIES HH AY1 - M IY0 Z +HYMN HH IH1 M +HYMNAL HH IH1 M - N AH0 L +HYMNALS HH IH1 M - N AH0 L Z +HYMNOLOGY HH IH0 M - N AA1 - L AH0 - JH IY0 +HYMNS HH IH1 M Z +HYMOWITZ HH IH1 - M AH0 - W IH0 T S +HYMOWITZ(2) HH AY1 - M AH0 - W IH0 T S +HYND HH IH1 N D +HYNDMAN HH IH1 N D - M AH0 N +HYNDS HH IH1 N D Z +HYNEK HH AY1 - N IH0 K +HYNES HH AY1 N Z +HYNES'S HH AY1 N - Z IH0 Z +HYNSON HH IH1 N - S AH0 N +HYOGO HH Y OW1 - G OW0 +HYOTAN HH Y OW1 - T AE2 N +HYPE HH AY1 P +HYPED HH AY1 P T +HYPER HH AY1 - P ER0 +HYPERACTIVE HH AY2 - P ER0 - AE1 K - T IH0 V +HYPERACTIVITY HH AY2 - P ER0 - AE0 K - T IH1 - V IH0 - T IY0 +HYPERBARIC HH AY0 - P ER0 - B AA1 - R IH0 K +HYPERBARIC(2) HH AY0 - P ER1 - B AE1 - R IH0 K +HYPERBOLA HH AY0 - P ER1 - B AH0 - L AH0 +HYPERBOLE HH AY0 - P ER1 - B AH0 - L IY2 +HYPERBOLIC HH AY2 - P ER0 - B AA1 - L IH0 K +HYPERBOREAN HH AY2 - P ER0 - B AO1 - R IY0 - AH0 N +HYPERCARD HH AY2 - P ER0 - K AA1 R D +HYPERCRITICAL HH AY2 - P ER0 - K R IH1 - T IH0 - K AH0 L +HYPERINFLATION HH AY2 - P ER0 - IH0 N - F L EY1 - SH AH0 N +HYPERION HH AY0 - P IH1 - R IY0 - AH0 N +HYPERKINETIC HH AY2 - P ER0 - K IH0 - N EH1 - T IH0 K +HYPERLINK HH AY1 - P ER0 - L IH0 NG K +HYPERLINKS HH AY1 - P ER0 - L IH0 NG K S +HYPERMARKET HH AY1 - P ER0 - M AA2 R - K IH0 T +HYPERMARKETS HH AY1 - P ER0 - M AA2 R - K IH0 T S +HYPEROPIA HH AY2 - P ER0 - OW1 - P IY0 - AH0 +HYPERSENSITIVE HH AY2 - P ER0 - S EH1 N - S IH0 - T IH0 V +HYPERSENSITIVITY HH AY2 - P ER0 - S EH1 N - S IH0 - T IH0 - V IH0 - T IY0 +HYPERSONIC HH AY2 - P ER0 - S AA1 - N IH0 K +HYPERTENSION HH AY2 - P ER0 - T EH1 N - SH AH0 N +HYPERTENSIVE HH AY2 - P ER0 - T EH1 N - S IH0 V +HYPERTEXT HH AY1 - P ER0 - T EH2 K S T +HYPERTONIC HH AY2 - P ER0 - T AA1 - N IH0 K +HYPES HH AY1 P S +HYPHAE HH AY1 - F IY2 +HYPHEN HH AY1 - F AH0 N +HYPHENATE HH AY1 - F AH0 - N EY2 T +HYPHENATED HH AY1 - F AH0 - N EY2 - T IH0 D +HYPING HH AY1 - P IH0 NG +HYPNOSIS HH IH0 P - N OW1 - S AH0 S +HYPNOTIC HH IH0 P - N AA1 - T IH0 K +HYPNOTICS HH IH0 P - N AA1 - T IH0 K S +HYPNOTISM HH IH1 P - N AH0 - T IH2 - Z AH0 M +HYPNOTISM'S HH IH1 P - N AH0 - T IH2 - Z AH0 M Z +HYPNOTIZE HH IH1 P - N AH0 - T AY2 Z +HYPNOTIZED HH IH1 P - N AH0 - T AY2 Z D +HYPO HH AY1 - P OW0 +HYPOCHONDRIA HH AY2 - P AH0 - K AA1 N - D R IY0 - AH0 +HYPOCHONDRIAC HH AY2 - P AH0 - K AA1 N - D R IY0 - AE0 K +HYPOCRISY HH IH0 - P AA1 - K R AH0 - S IY0 +HYPOCRITE HH IH1 - P AH0 - K R IH2 T +HYPOCRITES HH IH1 - P AH0 - K R IH2 T S +HYPOCRITICAL HH IH2 - P AH0 - K R IH1 - T IH0 - K AH0 L +HYPODERMIC HH AY2 - P AH0 - D ER1 - M IH0 K +HYPOGLYCEMIA HH AY2 - P OW0 - G L AY0 - S IY1 - M IY0 - AH0 +HYPOGLYCEMIC HH AY2 - P OW0 - G L AY0 - S IY1 - M IH0 K +HYPOLITE HH AY1 - P AH0 - L AY0 T +HYPONEX HH AY1 - P OW0 - N EH2 K S +HYPOTENSION HH AY2 - P OW0 - T EH1 N - SH AH0 N +HYPOTHALAMIC HH AY2 - P OW0 - TH AH0 - L AE1 - M IH0 K +HYPOTHEKEN HH AY2 - P AA1 - TH AH0 - K AH0 N +HYPOTHERMIA HH AY2 - P AH0 - TH ER1 - M IY0 - AH0 +HYPOTHESES HH AY0 - P AA1 - TH AH0 - S IY2 Z +HYPOTHESIS HH AY0 - P AA1 - TH AH0 - S AH0 S +HYPOTHESIZE HH AY0 - P AA1 - TH AH0 - S AY2 Z +HYPOTHESIZED HH AY0 - P AA1 - TH AH0 - S AY2 Z D +HYPOTHETICAL HH AY2 - P AH0 - TH EH1 - T AH0 - K AH0 L +HYPOTHETICAL(2) HH AY2 - P AH0 - TH EH1 - T IH0 - K AH0 L +HYPOTHETICALLY HH AY2 - P AH0 - TH EH1 - T IH0 K - L IY0 +HYPOTHETICALS HH AY2 - P AH0 - TH EH1 - T AH0 - K AH0 L Z +HYPOXIA HH AY0 - P AA1 K - S IY0 - AH0 +HYRAXES HH AY1 - R AE0 K - S AH0 Z +HYRE HH AY1 R +HYSELL HH AY1 - S AH0 L +HYSER HH AY1 - Z ER0 +HYSLOP HH AY1 S - L AH0 P +HYSON HH AY1 - S AH0 N +HYSONG HH AY1 - S AO2 NG +HYSSOP HH IH1 - S AH0 P +HYSTER HH IH1 - S T ER0 +HYSTERECTOMIES HH IH2 - S T ER0 - EH1 K - T AH0 - M IY0 +HYSTERECTOMY HH IH2 - S T ER0 - EH1 K - T AH0 - M IY0 +HYSTERIA HH IH0 - S T EH1 - R IY0 - AH0 +HYSTERIC HH IH2 - S T EH1 - R IH0 K +HYSTERICAL HH IH0 - S T EH1 - R IH0 - K AH0 L +HYSTERICALLY HH IH2 - S T EH1 - R IH0 K - L IY0 +HYSTERICS HH IH2 - S T EH1 - R IH0 K S +HYUN HH AY1 - AH0 N +HYUN(2) HH Y AH1 N +HYUNDAI HH Y AH1 N - D EY2 +HYUNDAI'S HH AH1 N - D EY2 Z +HYUNDAI(2) HH AH1 N - D EY2 +HYUNDAIS HH Y AH1 N - D EY2 Z +I AY1 +I'D AY1 D +I'ERS AY1 - ER0 Z +I'LL AY1 L +I'M AY1 M +I'S AY1 Z +I'VE AY1 V +I. 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N UW1 T - S IY0 +IANNUZZI(2) IY0 - AH0 - N UW1 - Z IY0 +IANTHA IY0 - AA1 N - TH AH0 +IANTHE IY0 - AA1 N - TH EY0 +IANTHINA IY0 - AH0 N - TH IY1 - N AH0 +IASON IY1 - AH0 - S AH0 N +IAVARONE IY0 - AA2 - V ER0 - OW1 - N IY0 +IB IH1 B +IB(2) AY1 - B IY1 +IBA IY1 - B AH0 +IBACH IH1 - B AA0 K +IBANEZ IH0 - B AA1 N - EH0 Z +IBARAKI AY2 - B ER0 - AA1 - K IY0 +IBARRA IH0 - B AA1 - R AH0 +IBBOTSON IH1 - B AH0 T - S AH0 N +IBERIA AY0 - B IH1 - R IY0 - AH0 +IBERIA'S AY0 - B IH1 - R IY0 - AH0 Z +IBERIAN AY0 - B IH1 - R IY0 - AH0 N +IBEX AY1 - B EH0 K S +IBIS AY1 - B AH0 S +IBMER IH1 B - M ER0 +IBMERS IH1 B - M ER0 Z +IBN IH1 - B AH0 N +IBOGAINE AY1 - B OW0 - G EY0 N +IBOGAINE(2) AY1 - B AH0 - G EY0 N +IBRAHIM IH2 - B R AA0 - HH IY1 M +IBSEN IH1 B - S AH0 N +IBUPROFEN AY2 - B Y UW0 - P R OW1 - F AH0 N +ICAHN AY1 - K AA0 N +ICAHN'S AY1 - K AA0 N Z +ICARD IH0 - K AA1 R D +ICARUS IH1 - K ER2 - AH0 S +ICE AY1 S +ICE-NINE AY1 S - N AY1 N +ICEBERG AY1 S - B ER0 G +ICEBERGS AY1 S - B ER0 G Z +ICEBOX AY1 S - 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S EH1 - R AH0 +IMEL IH1 - M AH0 L +IMELDA IH0 - M EH1 L - D AH0 +IMES AY1 M Z +IMHOF IH1 M - HH AH0 F +IMHOFF IH1 M - HH AO2 F +IMIG IH1 - M IH0 G +IMITABLE IH1 - M AH0 - T AH0 - B AH0 L +IMITATE IH1 - M AH0 - T EY2 T +IMITATED IH1 - M AH0 - T EY2 - T IH0 D +IMITATES IH1 - M AH0 - T EY2 T S +IMITATING IH1 - M AH0 - T EY2 - T IH0 NG +IMITATION IH2 - M AH0 - T EY1 - SH AH0 N +IMITATIONS IH2 - M IH0 - T EY1 - SH AH0 N Z +IMITATIVE IH1 - M AH0 - T EY2 - T IH0 V +IMITATOR IH1 - M AH0 - T EY2 - T ER0 +IMITATORS IH1 - M IH0 - T EY2 - T ER0 Z +IMLAY IH0 M - L EY1 +IMLER IH1 M - L ER0 +IMM AY1 - EH1 - M EH1 M +IMM(2) IH1 M +IMMACULATE IH0 - M AE1 - K Y UW0 - L IH0 T S +IMMACULATELY IH0 - M AE1 - K Y AH0 - L AH0 T - L IY0 +IMMANENCE IH1 - M AH0 - N AH0 N S +IMMANENT IH1 - M AH0 - N AH0 N T +IMMANUEL IH1 - M AH0 - N UH0 L +IMMATERIAL IH2 - M AH0 - T IH1 - R IY0 - AH0 L +IMMATURE IH2 - M AH0 - T Y UH1 R +IMMATURITY IH2 - M AH0 - CH UH1 - R IH0 - T IY0 +IMMEASURABLE IH0 - M EH1 - ZH ER0 - AE2 - B AH0 L +IMMEASURABLY IH0 - M EH1 - ZH ER0 - AE2 - B L IY0 +IMMEDIACY IH0 - M IY1 - D IY0 - AH0 - S IY0 +IMMEDIATE IH0 - M IY1 - D IY0 - AH0 T +IMMEDIATELY IH0 - M IY1 - D IY0 - AH0 T - L IY0 +IMMEL IH1 - M AH0 L +IMMEMORIAL IH2 - M AH0 - M AO1 - R IY0 - AH0 L +IMMENSE IH0 - M EH1 N S +IMMENSELY IH0 - M EH1 N S - L IY0 +IMMERMAN IH1 - M ER0 - M AH0 N +IMMERSE IH0 - M ER1 S +IMMERSED IH0 - M ER1 S T +IMMERSION IH0 - M ER1 - ZH AH0 N +IMMIGRANT IH1 - M AH0 - G R AH0 N T +IMMIGRANT'S IH1 - M AH0 - G R AH0 N T S +IMMIGRANTS IH1 - M AH0 - G R AH0 N T S +IMMIGRANTS' IH1 - M IH0 - G R AH0 N T S +IMMIGRATE IH1 - M AH0 - G R EY2 T +IMMIGRATED IH1 - M AH0 - G R EY2 - T IH0 D +IMMIGRATION IH2 - M AH0 - G R EY1 - SH AH0 N +IMMINENCE IH1 - M AH0 - N AH0 N S +IMMINENT IH1 - M AH0 - N AH0 N T +IMMINENTLY IH1 - M AH0 - N AH0 N T - L IY0 +IMMISCIBLE IH0 - M IH1 - S AH0 - B AH0 L +IMMOBILE IH0 - M OW1 - B AH0 L +IMMOBILE(2) IH0 - M OW1 - B AY2 L +IMMOBILE(3) IH0 - M OW1 - B IY2 L +IMMOBILITY IH2 - M OW0 - B IH1 - L IH0 - T IY0 +IMMOBILIZE IH0 - M OW1 - B AH0 - L AY2 Z +IMMOBILIZED IH0 - M OW1 - B AH0 - L AY2 Z D +IMMOBILIZING IH0 - M OW1 - B AH0 - L AY2 - Z IH0 NG +IMMORAL IH0 - M AO1 - R AH0 L +IMMORALITY IH2 - M ER0 - AE1 - L IH0 - T IY0 +IMMORTAL IH0 - M AO1 R - T AH0 L +IMMORTALITY IH2 - M AO0 R - T AE1 - L IH0 - T IY0 +IMMORTALIZE IH0 - M AO1 R - T AH0 - L AY0 Z +IMMORTALIZED IH0 - M AO1 R - T AH0 - L AY0 Z D +IMMORTALIZES IH0 - M AO1 R - T AH0 - L AY0 - Z IH0 Z +IMMORTALIZING IH0 - M AO1 R - T AH0 - L AY0 - Z IH0 NG +IMMORTALS IH0 - M AO1 R - T AH0 L Z +IMMOTILE IH0 - M OW1 - T AH0 L +IMMOVABLE IH0 - M UW1 - V AH0 - B AH0 L +IMMULOGIC IH1 - M Y UW0 - L AA2 - JH IH0 K +IMMUNE IH0 - M Y UW1 N +IMMUNETECH IH1 - M Y UW0 N - T EH2 K +IMMUNEX IH1 - M Y UW0 - N EH0 K S +IMMUNITIES IH0 - M Y UW1 - N IH0 - T IY0 Z +IMMUNITY IH0 - M Y UW1 - N AH0 - T IY0 +IMMUNITY(2) IH0 - M Y UW1 - N IH0 - T IY0 +IMMUNIZATION IH2 - M Y UW0 - N AH0 - Z EY1 - SH AH0 N +IMMUNIZATIONS IH2 - M Y UW0 - N AH0 - Z EY1 - SH AH0 N Z +IMMUNIZE IH1 - M Y UW0 - N AY2 Z +IMMUNIZED IH1 - M Y AH0 - N AY2 Z D +IMMUNIZES IH1 - M Y AH0 - N AY2 - Z IH0 Z +IMMUNIZING IH1 - M Y AH0 - N AY2 - Z IH0 NG +IMMUNO IH0 - M Y UW1 - N OW0 +IMMUNODEFICIENCY IH2 - M Y UW0 - N OW0 - D IH2 - F IH1 - SH AH0 N - S IY0 +IMMUNOLOGICAL IH2 - M Y UW0 - N AH0 - L AA1 - JH IH0 - K AH0 L +IMMUNOLOGIST IH2 - M Y UW0 - N AA1 - L AH0 - JH IH0 S T +IMMUNOLOGY IH2 - M Y UW0 - N AA1 - L AH0 - JH IY0 +IMMUNOMEDIC IH1 - M Y UW0 - N OW0 - M EH2 - D IH0 K +IMMUNOMEDICS IH1 - M Y UW0 - N OW0 - M EH2 - D IH0 K S +IMMUNOTHERAPY IH2 - M Y UW0 - N OW0 - TH EH1 - R AH0 - P IY0 +IMMUTABLE IH0 - M Y UW1 - T AH0 - B AH0 L +IMNET IH1 M - N EH2 T +IMO AY1 - M OW0 +IMO(2) AY1 - EH1 - M OW1 +IMOGEN IH1 - M AH0 - G AH0 N +IMOGENE IH1 - M AH0 - JH IY2 N +IMONDI IH0 - M OW1 N - D IY0 +IMONDI(2) IH0 - M AA1 N - D IY0 +IMP IH1 M P +IMPACT IH0 M - P AE1 K T +IMPACT(2) IH1 M - P AE0 K T +IMPACTED IH1 M - P AE2 K - T IH0 D +IMPACTED(2) IH0 M - P AE1 K - T IH0 D +IMPACTING IH0 M - P AE1 K - T IH0 NG +IMPACTS IH0 M - P AE1 K T S +IMPACTS(2) IH1 M - P AE0 K T S +IMPACTS(3) IH0 M - P AE1 K S +IMPACTS(4) IH1 M - P AE0 K S +IMPAIR IH0 M - P EH1 R +IMPAIRED IH0 M - P EH1 R D +IMPAIRING IH0 M - P EH1 - R IH0 NG +IMPAIRMENT IH0 M - P EH1 R - M AH0 N T +IMPAIRMENTS IH0 M - P EH1 R - M AH0 N T S +IMPAIRS IH0 M - P EH1 R Z +IMPALA IH0 M - P AA1 - L AH0 +IMPALED IH0 M - P EY1 L D +IMPANEL IH0 M - P AE1 - N AH0 L +IMPANELED IH0 M - P AE1 - N AH0 L D +IMPART IH0 M - P AA1 R T +IMPARTED IH0 M - P AA1 R - T IH0 D +IMPARTIAL IH0 M - P AA1 R - SH AH0 L +IMPARTIALITY IH0 M - P AA2 R - SH IY0 - AE1 - L IH0 - T IY0 +IMPARTIALLY IH0 M - P AA1 R - SH AH0 - L IY0 +IMPARTING IH0 M - P AA1 R - T IH0 NG +IMPARTS IH0 M - P AA1 R T S +IMPASSABLE IH0 M - P AE1 - S AH0 - B AH0 L +IMPASSE IH0 M - P AE1 S +IMPASSE(2) IH1 M - P AE2 S +IMPASSION IH0 M - P AE1 - SH AH0 N +IMPASSIONED IH0 M - P AE1 - SH AH0 N D +IMPASSIVE IH0 M - P AE1 - S IH0 V +IMPASSIVELY IH0 M - P AE1 - S IH0 V - L IY0 +IMPASTATO IH0 M - P AA0 - S T AA1 - T OW0 +IMPATIENCE IH0 M - P EY1 - SH AH0 N S +IMPATIENS IH0 M - P EY1 - SH AH0 N Z +IMPATIENT IH0 M - P EY1 - SH AH0 N T +IMPATIENTLY IH0 M - P EY1 - SH AH0 N T - L IY0 +IMPEACH IH0 M - P IY1 CH +IMPEACHABLE IH0 M - P IY1 - CH AH0 - B AH0 L +IMPEACHED IH0 M - P IY1 CH T +IMPEACHES IH0 M - P IY1 - CH AH0 Z +IMPEACHING IH0 M - P IY1 - CH IH0 NG +IMPEACHMENT IH0 M - P IY1 CH - M AH0 N T +IMPEACHMENTS IH0 M - P IY1 CH - M AH0 N T S +IMPECCABLE IH0 M - P EH1 - K AH0 - B AH0 L +IMPECCABLY IH0 M - P EH1 - K AH0 - B L IY0 +IMPEDANCE IH0 M - P IY1 - D AH0 N S +IMPEDE IH0 M - P IY1 D +IMPEDED IH0 M - P IY1 - D IH0 D +IMPEDES IH0 M - P IY1 D Z +IMPEDIMENT IH0 M - P EH1 - D AH0 - M AH0 N T +IMPEDIMENTS IH0 M - P EH1 - D AH0 - M AH0 N T S +IMPEDING IH0 M - P IY1 - D IH0 NG +IMPEL IH0 M - P EH1 L +IMPELLED IH0 M - P EH1 L D +IMPEND IH0 M - P EH1 N D +IMPENDING IH0 M - P EH1 N - D IH0 NG +IMPENETRABLE IH0 M - P EH1 - N AH0 - T R AH0 - B AH0 L +IMPERATIVE IH0 M - P EH1 - R AH0 - T IH0 V +IMPERATIVES IH0 M - P EH1 - R AH0 - T IH0 V Z +IMPERATO IH0 M - P ER0 - AA1 - T OW0 +IMPERCEPTIBLE IH2 M - P ER0 - S EH1 P - T IH0 - B AH0 L +IMPERCEPTIBLY IH2 M - P ER0 - S EH1 P - T IH0 - B L IY0 +IMPERFECT IH0 M - P ER1 - F IH0 K T +IMPERFECTION IH2 M - P ER0 - F EH1 K - SH AH0 N +IMPERFECTIONS IH2 M - P ER0 - F EH1 K - SH AH0 N Z +IMPERFECTLY IH0 M - P ER1 - F IH0 K T - L IY0 +IMPERIA IH0 M - P IY1 - R IY0 - AH0 +IMPERIAL IH0 M - P IH1 - R IY0 - AH0 L +IMPERIAL'S IH0 M - P IH1 - R IY0 - AH0 L Z +IMPERIALE IH0 M - P ER0 - IY0 - AA1 - L IY0 +IMPERIALISM IH0 M - P IH1 - R IY0 - AH0 - L IH2 - Z AH0 M +IMPERIALIST IH0 M - P IH1 - R IY0 - AH0 - L IH0 S T +IMPERIALISTIC IH0 M - P IY2 - R IY0 - AH0 - L IH1 - S T IH0 K +IMPERIALISTS IH0 M - P IH1 - R IY0 - AH0 - L IH0 S T S +IMPERIALISTS(2) IH0 M - P IH1 - R IY0 - AH0 - L IH0 S S +IMPERIALISTS(3) IH0 M - P IH1 - R IY0 - AH0 - L IH0 S +IMPERIL IH0 M - P EH1 - R AH0 L +IMPERILED IH0 M - P EH1 - R AH0 L D +IMPERILING IH0 M - P EH1 - R AH0 - L IH0 NG +IMPERILS IH0 M - P EH1 - R AH0 L Z +IMPERIOUS IH0 M - P IH1 - R IY0 - AH0 S +IMPERMISSIBLE IH2 M - P ER0 - M IH1 - S IH0 - B AH0 L +IMPERSONAL IH0 M - P ER1 - S AH0 - N AH0 L +IMPERSONALITY IH0 M - P ER2 - S AH0 - N AE1 - L AH0 - T IY0 +IMPERSONATE IH0 M - P ER1 - S AH0 - N EY2 T +IMPERSONATED IH0 M - P ER1 - S AH0 - N EY2 - T IH0 D +IMPERSONATING IH0 M - P ER1 - S AH0 - N EY2 - T IH0 NG +IMPERSONATION IH2 M - P ER0 - S AH0 - N EY1 - SH AH0 N +IMPERSONATOR IH0 M - P ER1 - S AH0 - N EY0 - T ER0 +IMPERSONATORS IH0 M - P ER1 - S AH0 - N EY2 - T ER0 Z +IMPERTINENT IH0 M - P ER1 - T AH0 - N AH0 N T +IMPERVIOUS IH0 M - P ER1 - V IY0 - AH0 S +IMPETUOUS IH0 M - P EH1 - CH W AH0 S +IMPETUS IH1 M - P AH0 - T AH0 S +IMPINGE IH0 M - P IH1 N JH +IMPINGES IH0 M - P IH1 N - JH IH0 Z +IMPISH IH1 M - P IH0 SH +IMPLACABLE IH0 M - P L AE1 - K AH0 - B AH0 L +IMPLANT IH0 M - P L AE1 N T +IMPLANT(2) IH1 M - P L AE2 N T +IMPLANTABLE IH1 M - P L AE2 N - T AH0 - B AH0 L +IMPLANTATION IH0 M - P L AE0 N - T EY1 - SH AH0 N +IMPLANTED IH0 M - P L AE1 N - T IH0 D +IMPLANTING IH0 M - P L AE1 N - T IH0 NG +IMPLANTS IH0 M - P L AE1 N T S +IMPLANTS(2) IH1 M - P L AE2 N T S +IMPLAUSIBLE IH0 M - P L AO1 - Z AH0 - B AH0 L +IMPLAUSIBLY IH0 M - P L AO1 - Z AH0 - B L IY0 +IMPLEMENT IH1 M - P L AH0 - M AH0 N T +IMPLEMENTATION IH2 M - P L AH0 - M EH0 N - T EY1 - SH AH0 N +IMPLEMENTED IH1 M - P L AH0 - M EH2 N - T AH0 D +IMPLEMENTED(2) IH1 M - P L AH0 - M EH2 - N AH0 D +IMPLEMENTING IH1 M - P L AH0 - M EH2 N - T IH0 NG +IMPLEMENTING(2) IH1 M - P L AH0 - M EH2 - N IH0 NG +IMPLEMENTS IH1 M - P L AH0 - M AH0 N T S +IMPLICATE IH1 M - P L IH0 - K EY2 T +IMPLICATED IH1 M - P L IH0 - K EY2 - T IH0 D +IMPLICATES IH1 M - P L IH0 - K EY2 T S +IMPLICATING IH1 M - P L IH0 - K EY2 - T IH0 NG +IMPLICATION IH2 M - P L AH0 - K EY1 - SH AH0 N +IMPLICATIONS IH2 M - P L AH0 - K EY1 - SH AH0 N Z +IMPLICIT IH0 M - P L IH1 - S AH0 T +IMPLICITLY IH0 M - P L IH1 - S AH0 T - L IY0 +IMPLIED IH0 M - P L AY1 D +IMPLIES IH0 M - P L AY1 Z +IMPLODE IH0 M - P L OW1 D +IMPLODED IH0 M - P L OW1 - D IH0 D +IMPLODES IH0 M - P L OW1 D Z +IMPLODING IH0 M - P L OW1 - D IH0 NG +IMPLORE IH0 M - P L AO1 R +IMPLORED IH0 M - P L AO1 R D +IMPLORES IH0 M - P L AO1 R Z +IMPLORING IH0 M - P L AO1 - R IH0 NG +IMPLOSION IH0 M - P L OW1 - ZH AH0 N +IMPLY IH0 M - P L AY1 +IMPLYING IH0 M - P L AY1 - IH0 NG +IMPOLITE IH0 M - P AH0 - L AY2 T +IMPOLITIC IH0 M - P AO1 - L IH1 - T IH2 K +IMPONDERABLE IH0 M - P AA1 N - D ER0 - AH0 - B AH0 L +IMPONDERABLES IH0 M - P AA1 N - D ER0 - AH0 - B AH0 L Z +IMPORT IH0 M - P AO1 R T +IMPORT(2) IH1 M - P AO0 R T +IMPORTANCE IH0 M - P AO1 R - T AH0 N S +IMPORTANT IH0 M - P AO1 R - T AH0 N T +IMPORTANTLY IH0 M - P AO1 R - T AH0 N T - L IY0 +IMPORTATION IH2 M - P AO0 R - T EY1 - SH AH0 N +IMPORTED IH0 M - P AO1 R - T IH0 D +IMPORTER IH0 M - P AO1 R - T ER0 +IMPORTERS IH0 M - P AO1 R - T ER0 Z +IMPORTERS' IH0 M - P AO1 R - T ER0 Z +IMPORTING IH0 M - P AO1 R - T IH0 NG +IMPORTS IH0 M - P AO1 R T S +IMPORTS' IH1 M - P AO0 R T S +IMPORTS(2) IH1 M - P AO0 R T S +IMPOSE IH0 M - P OW1 Z +IMPOSED IH0 M - P OW1 Z D +IMPOSES IH0 M - P OW1 - Z AH0 Z +IMPOSES(2) IH0 M - P OW1 - Z IH0 Z +IMPOSING IH0 M - P OW1 - Z IH0 NG +IMPOSITION IH2 M - P AH0 - Z IH1 - SH AH0 N +IMPOSSIBILITY IH0 M - P AO2 - S IH0 - B IH1 - L IH0 - T IY0 +IMPOSSIBLE IH0 M - P AA1 - S AH0 - B AH0 L +IMPOSSIBLE'S IH0 M - P AA1 - S AH0 - B AH0 L Z +IMPOSSIBLY IH0 M - P AA1 - S AH0 - B L IY0 +IMPOSTOR IH0 M - P AO1 - S T ER0 +IMPOSTORS IH0 M - P AO1 - S T ER0 Z +IMPOTENCE IH1 M - P AH0 - T AH0 N S +IMPOTENT IH1 M - P AH0 - T AH0 N T +IMPOUND IH0 M - P AW1 N D +IMPOUNDED IH0 M - P AW1 N - D IH0 D +IMPOUNDMENT IH0 M - P AW1 N D - M AH0 N T +IMPOUNDMENTS IH0 M - P AW1 N D - M AH0 N T S +IMPOVERISH IH0 M - P AA1 - V R IH0 SH +IMPOVERISHED IH0 M - P AA1 - V R IH0 SH T +IMPOVERISHES IH0 M - P AA1 - V R IH0 - SH AH0 Z +IMPOVERISHMENT IH0 M - P AA1 - V R IH0 SH - M AH0 N T +IMPRACTICABLE IH0 M - P R AE1 K - T IH0 - K AH0 - B AH0 L +IMPRACTICAL IH0 M - P R AE1 K - T AH0 - K AH0 L +IMPRACTICAL(2) IH0 M - P R AE1 K - T IH0 - K AH0 L +IMPRECISE IH1 M - P R AH0 - S AY2 S +IMPREGNABLE IH0 M - P R EH1 G - N AH0 - B AH0 L +IMPREGNATED IH0 M - P R EH1 G - N EY2 - T AH0 D +IMPREGNATION IH0 M - P R EH1 G - N EY1 - SH AH0 N +IMPRESARIO IH2 M - P R IH0 - S AA1 - R IY0 - OW2 +IMPRESS IH0 M - P R EH1 S +IMPRESS(2) IH1 M - P R EH2 S +IMPRESSED IH0 M - P R EH1 S T +IMPRESSES IH0 M - P R EH1 - S IH0 Z +IMPRESSING IH0 M - P R EH1 - S IH0 NG +IMPRESSION IH0 M - P R EH1 - SH AH0 N +IMPRESSIONABLE IH0 M - P R EH1 - SH AH0 N - AH0 - B AH0 L +IMPRESSIONISM IH0 M - P R EH1 - SH AH0 N - IH2 - Z AH0 M +IMPRESSIONIST IH0 M - P R EH1 - SH AH0 N - AH0 S T +IMPRESSIONIST(2) IH0 M - P R EH1 - SH AH0 N - IH0 S T +IMPRESSIONISTIC IH0 M - P R EH2 - SH AH0 - N IH1 - S T IH0 K +IMPRESSIONISTS IH0 M - P R EH1 - SH AH0 N - IH0 S T S +IMPRESSIONISTS(2) IH0 M - P R EH1 - SH AH0 N - IH0 S S +IMPRESSIONISTS(3) IH0 M - P R EH1 - SH AH0 N - IH0 S +IMPRESSIONS IH0 M - P R EH1 - SH AH0 N Z +IMPRESSIVE IH0 M - P R EH1 - S IH0 V +IMPRESSIVELY IH0 M - P R EH1 - S IH0 V - L IY0 +IMPRESSMENT IH0 M - P R EH1 S - M AH0 N T +IMPRIMATUR IH2 M - P R IH0 - M AA1 - T ER0 +IMPRIMIS IH0 M - P R IY1 - M IH0 S +IMPRINT IH0 M - P R IH1 N T +IMPRINT(2) IH1 M - P R IH0 N T +IMPRINTED IH0 M - P R IH1 N - T IH0 D +IMPRINTED(2) IH0 M - P R IH1 - N IH0 D +IMPRINTING IH0 M - P R IH1 N - T IH0 NG +IMPRINTING(2) IH0 M - P R IH1 - N IH0 NG +IMPRINTS IH0 M - P R IH1 N T S +IMPRISON IH0 M - P R IH1 - Z AH0 N +IMPRISONED IH0 M - P R IH1 - Z AH0 N D +IMPRISONING IH0 M - P R IH1 - Z AH0 N - IH0 NG +IMPRISONMENT IH0 M - P R IH1 - Z AH0 N - M AH0 N T +IMPROBABLE IH0 M - P R AA1 - B AH0 - B AH0 L +IMPROBABLY IH0 M - P R AA1 - B AH0 - B L IY0 +IMPROMPTU IH0 M - P R AA1 M P - T UW0 +IMPROPER IH0 M - P R AA1 - P ER0 +IMPROPERLY IH0 M - P R AA1 - P ER0 - L IY0 +IMPROPRIETIES IH2 M - P R AH0 - P R AY1 - AH0 - T IY0 Z +IMPROPRIETY IH2 M - P R AH0 - P R AY1 - AH0 - T IY0 +IMPROV IH1 M - P R AA2 V +IMPROVE IH0 M - P R UW1 V +IMPROVED IH0 M - P R UW1 V D +IMPROVEMENT IH0 M - P R UW1 V - M AH0 N T +IMPROVEMENTS IH0 M - P R UW1 V - M AH0 N T S +IMPROVES IH0 M - P R UW1 V Z +IMPROVING IH0 M - P R UW1 - V IH0 NG +IMPROVISATION IH2 M - P R AA0 - V IH0 - Z EY1 - SH AH0 N +IMPROVISATIONAL IH2 M - P R AA0 - V IH0 - Z EY1 - SH AH0 - N AH0 L +IMPROVISATIONS IH2 M - P R AA0 - V IH0 - Z EY1 - SH AH0 N Z +IMPROVISE IH1 M - P R AH0 - V AY2 Z +IMPROVISE(2) IH2 M - P R AH0 - V AY1 Z +IMPROVISED IH1 M - P R AH0 - V AY2 Z D +IMPROVISING IH1 M - P R AH0 - V AY2 - Z IH0 NG +IMPRUDENCE IH0 M - P R UW1 - D AH0 N S +IMPRUDENT IH0 M - P R UW1 - D AH0 N T +IMPRUDENTLY IH0 M - P R UW1 - D AH0 N T - L IY0 +IMPSON IH1 M P - S AH0 N +IMPUGN IH0 M - P Y UW1 N +IMPUGNED IH0 M - P Y UW1 N D +IMPUGNING IH0 M - P Y UW1 - N IH0 NG +IMPULSE IH1 M - P AH0 L S +IMPULSE(2) IH0 M - P AH1 L S +IMPULSES IH1 M - P AH0 L - S IH0 Z +IMPULSES(2) IH0 M - P AH1 L - S IH0 Z +IMPULSIVE IH0 M - P AH1 L - S IH0 V +IMPULSIVELY IH0 M - P AH1 L - S IH0 V - L IY0 +IMPUNITY IH0 M - P Y UW1 - N IH0 - T IY0 +IMPURE IH0 M - P Y UH1 R +IMPURITIES IH0 M - P Y UH1 - R AH0 - T IY0 Z +IMPURITY IH0 M - P Y UH1 - R AH0 - T IY0 +IMPUTATION IH2 M - P Y AH0 - T EY1 - SH AH0 N +IMPUTE IH0 M - P Y UW1 T +IMPUTED IH0 M - P Y UW1 - T IH0 D +IMRE IH1 - M R AH0 +IMREG IH2 M - R EH1 G +IMREG'S IH2 M - R EH1 G Z +IMRIE IH1 - M ER0 - IY0 +IMUS AY1 - M AH0 S +IN IH0 N +IN(2) IH1 N +IN. IH1 N +IN.(2) IH1 N CH +INA IY1 - N AH0 +INABILITY IH2 N - AH0 - B IH1 - L IH0 - T IY0 +INABINET IH0 N - AH0 - B IH1 - N IH0 T +INACCESSIBILITY IH2 N - AH0 K - S EH2 - S AH0 - B IH1 - L AH0 - T IY0 +INACCESSIBLE IH2 N - AH0 K - S EH1 - S AH0 - B AH0 L +INACCURACIES IH0 N - AE1 - K Y ER0 - AE2 - S IY0 Z +INACCURACY IH0 N - AE1 - K Y ER0 - AH0 - S IY0 +INACCURATE IH0 N - AE1 - K Y ER0 - AH0 T +INACCURATELY IH0 N - AE1 - K Y ER0 - AH0 T - L IY0 +INACOM IH1 N - AH0 - K AA2 M +INACOM(2) AY1 - N AH0 - K AA2 M +INACOMP AY1 - N AH0 - K AA2 M P +INACOMP(2) IH1 N - AH0 - K AA2 M P +INACTION IH0 N - AE1 K - SH AH0 N +INACTIVATE IH0 N - AE1 K - T IH0 - V EY2 T +INACTIVATED IH0 N - AE1 K - T IH0 - V EY2 - T IH0 D +INACTIVATION IH0 N - AE2 K - T IH0 - V EY1 - SH AH0 N +INACTIVE IH0 N - AE1 K - T IH0 V +INACTIVITY IH0 N - AE0 K - T IH1 - V IH0 - T IY0 +INADEQUACIES IH0 N - AE1 - D AH0 - K W AH0 - S IY0 Z +INADEQUACY IH0 N - AE1 - D IH0 - K W AH0 - S IY0 +INADEQUATE IH0 N - AE1 - D AH0 - K W AH0 T +INADEQUATE(2) IH0 N - AE1 - D AH0 - K W EY2 T +INADEQUATELY IH0 N - AE1 - D AH0 - K W AH0 T - L IY0 +INADMISSIBLE IH0 N - AH0 D - M IH1 - S AH0 - B AH0 L +INADMISSIBLE(2) IH0 N - AE0 D - M IH1 - S AH0 - B AH0 L +INADVERTENCE IH2 N - AH0 D - V ER1 - T AH0 N S +INADVERTENCE(2) IH2 N - AE0 D - V ER1 - T AH0 N S +INADVERTENT IH2 N - AH0 D - V ER1 - T AH0 N T +INADVERTENT(2) IH2 N - AE0 D - V ER1 - T AH0 N T +INADVERTENTLY IH2 N - AH0 D - V ER1 - T AH0 N T - L IY0 +INADVERTENTLY(2) IH2 N - AE0 D - V ER1 - T AH0 N T - L IY0 +INADVISABLE IH0 N - AH0 D - V AY1 - Z AH0 - B AH0 L +INADVISABLE(2) IH0 N - AE0 D - V AY1 - Z AH0 - B AH0 L +INAEZ IH2 N - AE1 Z +INAEZ(2) IH2 - N EY1 Z +INALIENABLE IH0 N - EY1 - L Y AH0 - N AH0 - B AH0 L +INAMURA IH2 - N AH0 - M UH1 - R AH0 +INANE IH0 N - EY1 N +INANIMATE IH0 N - AE1 - N AH0 - M AH0 T +INAPPLICABLE IH0 N - AE1 - P L IH0 - K AH0 - B AH0 L +INAPPROPRIATE IH2 N - AH0 - P R OW1 - P R IY0 - IH0 T +INAPPROPRIATELY IH0 N - AH0 - P R AA1 - P R IY0 - AH0 T - L IY0 +INARTICULATE IH0 N - AA0 R - T IH1 - K Y AH0 - L AH0 T +INASMUCH IH0 N - AE1 S - M AH0 K +INATTENTION IH0 N - AH0 - T EH1 N - CH AH0 N +INATTENTIVE IH2 N - AH0 - T EH1 N - T IH0 V +INAUDIBLE IH0 N - AO1 - D AH0 - B AH0 L +INAUGURAL IH0 - N AO1 - G ER0 - AH0 L +INAUGURAL(2) IH0 - N AO1 - G Y ER0 - AH0 L +INAUGURATE IH0 - N AO1 - G Y ER0 - IH0 T +INAUGURATE(2) IH0 - N AO1 - G Y ER0 - EY0 T +INAUGURATED IH0 - N AO1 - G ER0 - EY2 - T IH0 D +INAUGURATED(2) IH0 - N AO1 - G Y ER0 - EY2 - T IH0 D +INAUGURATES IH0 - N AO1 - G Y ER0 - IH0 T S +INAUGURATING IH0 - N AO1 - G Y ER0 - EY2 - T IH0 NG +INAUGURATION IH0 - N AO2 - G Y ER0 - EY1 - SH AH0 N +INAUGURATIONS IH0 - N AO2 - G Y ER0 - EY1 - SH AH0 N Z +INAUSPICIOUS IH0 N - AW2 - S P IH1 - SH IH0 S +INBIO IH0 N - B AY1 - OW0 +INBOARD IH1 N - B AO2 R D +INBODEN IH1 N - B OW0 - D AH0 N +INBODY IH1 N - B AA0 - D IY0 +INBORN IH1 N - B AO2 R N +INBOUND IH0 N - B AW1 N D +INBOUND(2) IH1 N - B AW0 N D +INBRED IH1 N - B R EH2 D +INBREED IH1 N - B R IY2 D +INBREEDING IH2 N - B R IY1 - D IH0 NG +INC IH1 NG K +INC. IH1 NG K +INC.'S IH1 NG K S +INC.(2) IH0 NG - K AO1 R - P AO0 - R EY0 - T AH0 D +INCA IH1 NG - K AH0 +INCALCULABLE IH0 N - K AE1 L - K Y AH0 - L AH0 - B AH0 L +INCANDESCENT IH2 N - K AH0 N - D EH1 - S AH0 N T +INCANT IH0 N - K AE1 N T +INCANTATION IH0 N - K AE1 N - T EY1 - SH AH0 N +INCANTATORY IH0 N - K AE1 N - T AH0 - T AO2 - R IY0 +INCAPABLE IH0 N - K EY1 - P AH0 - B AH0 L +INCAPACITATE IH0 N - K AH0 - P AE1 - S IH0 - T EY2 T +INCAPACITATED IH0 N - K AH0 - P AE1 - S IH0 - T EY2 - T IH0 D +INCAPACITATING IH0 N - K AH0 - P AE1 - S IH0 - T EY2 - T IH0 NG +INCAPACITATION IH0 N - K AH0 - P AE2 - S IH0 - T EY1 - SH AH0 N +INCAPACITY IH0 N - K AH0 - P AE1 - S AH0 - T IY0 +INCARCERATE IH0 N - K AA1 R - S ER0 - EY2 T +INCARCERATED IH0 N - K AA1 R - S ER0 - EY2 - T IH0 D +INCARCERATING IH0 N - K AA1 R - S ER0 - EY2 - T IH0 NG +INCARCERATION IH0 N - K AA2 R - S ER0 - EY1 - SH AH0 N +INCARNATE IH0 N - K AA1 R - N AH0 T +INCARNATE(2) IH0 N - K AA1 R - N EY2 T +INCARNATION IH0 N - K AA1 R - N EY1 - SH AH0 N +INCARNATIONS IH0 N - K AA0 R - N EY1 - SH AH0 N Z +INCAS IH1 NG - K AH0 Z +INCASE IH0 N - K EY1 S +INCATA IH0 NG - K AA1 - T AH0 +INCATA'S IH0 NG - K AA1 - T AH0 Z +INCE IH1 N S +INCENDIARY IH0 N - S EH1 N - D IY0 - EH0 - R IY0 +INCENSE IH0 N - S EH1 N S +INCENSE(2) IH1 N - S EH2 N S +INCENSED IH1 N - S EH2 N S T +INCENTIVE IH0 N - S EH1 N - T IH0 V +INCENTIVE(2) IH0 N - S EH1 - N IH0 V +INCENTIVES IH0 N - S EH1 N - T IH0 V Z +INCENTIVES(2) IH0 N - S IH1 - N IH0 V Z +INCEPTION IH0 N - S EH1 P - SH AH0 N +INCESSANT IH0 N - S EH1 - S AH0 N T +INCESSANTLY IH0 N - S EH1 - S AH0 N T - L IY0 +INCEST IH1 N - S EH2 S T +INCESTUOUS IH0 N - S EH1 - S CH W AH0 S +INCH IH1 N CH +INCHCAPE IH1 N - CH K EY2 P +INCHED IH1 N CH T +INCHES IH1 N - CH AH0 Z +INCHES' IH1 N - CH AH0 Z +INCHES'(2) IH1 N - CH IH0 Z +INCHES(2) IH1 N - CH IH0 Z +INCHING IH1 N - CH IH0 NG +INCHON IH1 N - CH AH0 N +INCHON(2) IH1 N - CH AA0 N +INCIDENCE IH1 N - S AH0 - D AH0 N S +INCIDENCE(2) IH1 N - S IH0 - D AH0 N S +INCIDENCES IH1 N - S AH0 - D AH0 N - S IH0 Z +INCIDENT IH1 N - S AH0 - D AH0 N T +INCIDENTAL IH2 N - S IH0 - D EH1 N - T AH0 L +INCIDENTALLY IH2 N - S IH0 - D EH1 N - T AH0 - L IY0 +INCIDENTALLY(2) IH2 N - S IH0 - D EH1 N T - L IY0 +INCIDENTALS IH2 N - S IH0 - D EH1 N - T AH0 L Z +INCIDENTS IH1 N - S AH0 - D AH0 N T S +INCINERATE IH0 N - S IH1 - N ER0 - EY2 T +INCINERATED IH0 N - S IH1 - N ER0 - EY2 - T IH0 D +INCINERATING IH0 N - S IH1 - N ER0 - EY2 - T IH0 NG +INCINERATION IH0 N - S IH1 - N ER0 - EY2 - SH AH0 N +INCINERATOR IH0 N - S IH1 - N ER0 - EY2 - T ER0 +INCINERATORS IH0 N - S IH1 - N ER0 - EY2 - T ER0 Z +INCIPIENT IH0 N - S IH1 - P IY0 - AH0 N T +INCIRLIK IH0 N - S ER1 - L IH0 K +INCISE IH0 N - S AY1 Z +INCISED IH0 N - S AY1 Z D +INCISION IH0 N - S IH1 - ZH AH0 N +INCISIONS IH0 N - S IH1 - ZH AH0 N Z +INCISIVE IH0 N - S AY1 - S IH0 V +INCISOR IH0 N - S AY1 - Z ER0 +INCISORS IH0 N - S AY1 - Z ER0 Z +INCITE IH0 N - S AY1 T +INCITED IH0 N - S AY1 - T IH0 D +INCITEMENT IH0 N - S AY1 T - M AH0 N T +INCITEMENTS IH0 N - S AY1 T - M AH0 N T S +INCITES IH0 N - S AY1 T S +INCITING IH0 N - S AY1 - T IH0 NG +INCIVILITY IH0 N - S IH0 - V IH1 - L IH0 - T IY0 +INCLEMENT IH0 N - K L EH1 - M AH0 N T +INCLEMENT(2) IH1 N - K L IH0 - M AH0 N T +INCLINATION IH2 N - K L AH0 - N EY1 - SH AH0 N +INCLINATIONS IH2 N - K L AH0 - N EY1 - SH AH0 N Z +INCLINE IH0 N - K L AY1 N +INCLINE(2) IH1 N - K L AY0 N +INCLINED IH0 N - K L AY1 N D +INCLINES IH0 N - K L AY1 N Z +INCLINES(2) IH1 N - K L AY0 N Z +INCLOSURE IH0 N - K L OW1 - ZH ER0 +INCLUDE IH0 N - K L UW1 D +INCLUDED IH0 N - K L UW1 - D AH0 D +INCLUDED(2) IH0 N - K L UW1 - D IH0 D +INCLUDES IH0 N - K L UW1 D Z +INCLUDING IH0 N - K L UW1 - D IH0 NG +INCLUSION IH0 N - K L UW1 - ZH AH0 N +INCLUSIONS IH0 N - K L UW1 - ZH AH0 N Z +INCLUSIVE IH0 N - K L UW1 - S IH0 V +INCLUSIVENESS IH0 N - K L UW1 - S IH0 V - N IH0 S +INCLUSIVENESS(2) IH0 N - K L UW1 - S IH0 V - N EH0 S +INCO IH2 N - K OW1 +INCO'S IH1 NG - K OW0 Z +INCOGNITO IH0 N - K AO0 G - N IY1 - T OW0 +INCOHERENCE IH0 N - K OW0 - HH IH1 - R AH0 N S +INCOHERENT IH0 N - K OW0 - HH IH1 - R AH0 N T +INCOHERENTLY IH0 N - K OW0 - HH IH1 - R AH0 N T - L IY0 +INCOM IH1 NG - K AA0 M +INCOME IH1 N - K AH2 M +INCOMES IH1 N - K AH2 M Z +INCOMING IH1 N - K AH2 - M IH0 NG +INCOMMUNICADO IH2 N - K AH0 - M Y UW2 - N AH0 - K AA1 - D OW0 +INCOMPARABLE IH0 N - K AA1 M - P ER0 - AH0 - B AH0 L +INCOMPARABLY IH0 N - K AA1 M - P ER0 - AH0 - B L IY0 +INCOMPATIBILITY IH0 N - K AA2 M - P AH0 - T IH0 - B IH1 - L IH0 - T IY0 +INCOMPATIBLE IH0 N - K AH0 M - P AE1 - T AH0 - B AH0 L +INCOMPETENCE IH0 N - K AA1 M - P AH0 - T AH0 N S +INCOMPETENCY IH0 N - K AA1 M - P AH0 - T AH0 N - S IY0 +INCOMPETENT IH0 N - K AA1 M - P AH0 - T AH0 N T +INCOMPETENTLY IH0 N - K AA1 M - P AH0 - T AH0 N T - L IY0 +INCOMPETENTS IH0 NG - K AA1 M - P AH0 - T AH0 N T S +INCOMPLETE IH0 N - K AH0 M - P L IY1 T +INCOMPREHENSIBLE IH0 NG - K AA2 M - P R AH0 - HH EH1 N - S IH0 - B AH0 L +INCOMPRESSIBLE IH0 N - K AH0 M - P R EH1 - S AH0 - B AH0 L +INCONCEIVABLE IH2 N - K AH0 N - S IY1 - V AH0 - B AH0 L +INCONCLUSIVE IH0 N - K AH0 N - K L UW1 - S IH0 V +INCONCLUSIVELY IH0 NG - K AA1 N - K L UW0 - S IH0 V - L IY0 +INCONGRUITY IH2 NG - K AO0 NG - R UW1 - IH0 - T IY0 +INCONGRUOUS IH0 NG - K AO1 NG - R UW0 - AH0 S +INCONGRUOUSLY IH0 NG - K AO1 NG - R UW0 - AH0 S - L IY0 +INCONSEQUENTIAL IH0 NG - K AA2 N - S AH0 - K W EH1 N - CH AH0 L +INCONSISTENCIES IH0 NG - K AA1 N - S IH0 - S T EH2 N - S IY0 Z +INCONSISTENCY IH2 N - K AH0 N - S IH1 - S T AH0 N - S IY0 +INCONSISTENT IH2 N - K AH0 N - S IH1 - S T AH0 N T +INCONSPICUOUS IH0 NG - K AA1 N - S P IH0 - K W AH0 S +INCONSTANCY IH0 N - K AA1 N - S T AH0 N - S IY0 +INCONTINENCE IH0 N - K AA1 N - T AH0 - N AH0 N S +INCONTINENT IH0 N - K AA1 N - T AH0 - N AH0 N T +INCONTROVERTIBLE IH0 NG - K AA2 N - T R OW0 - V ER1 - T IH0 - B AH0 L +INCONVENIENCE IH2 N - K AH0 N - V IY1 - N Y AH0 N S +INCONVENIENCED IH2 N - K AH0 N - V IY1 - N Y AH0 N S T +INCONVENIENCES IH2 N - K AH0 N - V IY1 - N Y AH0 N - S IH0 Z +INCONVENIENT IH2 N - K AH0 N - V IY1 - N Y AH0 N T +INCOORDINATION IH0 N - K OW1 - AO1 R - D AH0 N - EY1 - SH AH0 N +INCORPORATE IH0 N - K AO1 R - P ER0 - EY2 T +INCORPORATED IH0 N - K AO1 R - P ER0 - EY2 - T AH0 D +INCORPORATED'S IH0 N - K AO1 R - P ER0 - EY2 - T IH0 D Z +INCORPORATED(2) IH0 N - K AO1 R - P ER0 - EY2 - T IH0 D +INCORPORATES IH0 N - K AO1 R - P ER0 - EY2 T S +INCORPORATING IH0 N - K AO1 R - P ER0 - EY2 - T IH0 NG +INCORPORATION IH0 N - K AO2 R - P ER0 - EY1 - SH AH0 N +INCORPORATION'S IH0 N - K AO2 R - P ER0 - EY1 - SH AH0 N Z +INCORPORATIONS IH0 N - K AO2 R - P ER0 - EY1 - SH AH0 N Z +INCORRECT IH0 N - K ER0 - EH1 K T +INCORRECTLY IH0 N - K ER0 - EH1 K T - L IY0 +INCORRIGIBLE IH0 N - K AA1 - R AH0 - JH AH0 - B AH0 L +INCORVAIA IH0 N - K AO0 R - V AA1 - Y AH0 +INCREASE IH0 N - K R IY1 S +INCREASE(2) IH1 N - K R IY2 S +INCREASED IH0 N - K R IY1 S T +INCREASED(2) IH1 N - K R IY2 S T +INCREASES IH0 N - K R IY1 - S AH0 Z +INCREASES(2) IH0 N - K R IY1 - S IH0 Z +INCREASES(3) IH1 N - K R IY0 - S AH0 Z +INCREASING IH0 N - K R IY1 - S IH0 NG +INCREASINGLY IH0 N - K R IY1 - S IH0 NG - L IY0 +INCREASINGLY(2) IH0 N - K R IY1 - S IH0 NG - G L IY0 +INCREDIBLE IH0 N - K R EH1 - D AH0 - B AH0 L +INCREDIBLY IH0 N - K R EH1 - D AH0 - B L IY0 +INCREDULITY IH2 N - K R AH0 - D UW1 - L IH0 - T IY0 +INCREDULOUS IH0 N - K R EH1 - JH AH0 - L AH0 S +INCREMENT IH1 N - K R AH0 - M AH0 N T +INCREMENTAL IH2 N - K R AH0 - M EH1 N - T AH0 L +INCREMENTAL(2) IH2 N - K R AH0 - M EH1 - N AH0 L +INCREMENTALISM IH2 N - K R AH0 - M EH1 N - T AH0 - L IH0 Z M +INCREMENTALISM(2) IH2 N - K R AH0 - M EH1 - N AH0 - L IH0 Z M +INCREMENTALLY IH0 N - K R AH0 - M EH1 N - T AH0 - L IY0 +INCREMENTALLY(2) IH0 N - K R AH0 - M EH1 - N AH0 - L IY0 +INCREMENTS IH1 NG - K R AH0 - M AH0 N T S +INCRIMINATE IH0 N - K R IH1 - M AH0 - N EY2 T +INCRIMINATING IH0 N - K R IH1 - M AH0 - N EY2 - T IH0 NG +INCRIMINATION IH0 N - K R IH2 - M AH0 - N EY1 - SH AH0 N +INCRUST IH0 N - K R AH1 S T +INCRUSTATION IH2 N - K R AH0 - S T EY1 - SH AH0 N +INCSTAR IH1 NG K - S T AA2 R +INCUBATE IH1 N - K Y AH0 - B EY2 T +INCUBATING IH1 N - K Y AH0 - B EY2 - T IH0 NG +INCUBATION IH2 NG - K Y UW0 - B EY1 - SH AH0 N +INCUBATOR IH1 NG - K Y AH0 - B EY2 - T ER0 +INCUBATORS IH1 NG - K Y UW0 - B EY2 - T ER0 Z +INCULCATE IH1 NG - K AH0 L - K EY2 T +INCULCATED IH1 NG - K AH0 L - K EY2 - T AH0 D +INCULCATES IH1 NG - K AH0 L - K EY2 T S +INCUMBENCY IH0 N - K AH1 M - B AH0 N - S IY0 +INCUMBENT IH0 N - K AH1 M - B AH0 N T +INCUMBENT'S IH0 N - K AH1 M - B AH0 N T S +INCUMBENTS IH0 N - K AH1 M - B AH0 N T S +INCUR IH0 N - K ER1 +INCURABLE IH0 N - K Y UH1 - R AH0 - B AH0 L +INCURRED IH0 N - K ER1 D +INCURRING IH0 N - K ER1 - IH0 NG +INCURS IH0 N - K ER1 Z +INCURSION IH0 N - K ER1 - ZH AH0 N +INCURSIONS IH0 N - K ER1 - ZH AH0 N Z +INDA IY1 N - D AH0 +INDABA IH0 N - D AA1 - B AH0 +INDAL IH1 N - D AH0 L +INDATA IH0 N - D AA1 - T AH0 +INDEBTED IH0 N - D EH1 - T AH0 D +INDEBTED(2) IH0 N - D EH1 - T IH0 D +INDEBTEDNESS IH0 N - D EH1 - T IH0 D - N IH0 S +INDECENCY IH0 N - D IY1 - S AH0 N - S IY0 +INDECENT IH0 N - D IY1 - S AH0 N T +INDECISION IH0 N - D IH0 - S IH1 - ZH AH0 N +INDECISIVE IH2 N - D IH0 - S AY1 - S IH0 V +INDECISIVENESS IH0 N - D EH1 - S IH0 - S IH0 V - N AH0 S +INDEED IH0 N - D IY1 D +INDEFATIGABLE IH2 N - D IH0 - F AE1 - T IH0 - G AH0 - B AH0 L +INDEFENSIBLE IH0 N - D IH0 - F EH1 N - S AH0 - B AH0 L +INDEFINABLE IH0 N - D IH0 - F AY1 - N AH0 - B AH0 L +INDEFINITE IH0 N - D EH1 - F AH0 - N AH0 T +INDEFINITELY IH0 N - D EH1 - F AH0 - N AH0 T - L IY0 +INDELIBLE IH0 N - D EH1 - L IH0 - B AH0 L +INDELIBLY IH0 N - D EH1 - L AH0 - B L IY0 +INDELICATE IH0 N - D EH1 - L IH0 - K AH0 T +INDELICATO IH0 N - D EH0 - L IY0 - K AA1 - T OW0 +INDEMNIFICATION IH0 N - D EH2 M - N AH0 - F IH0 - K EY1 - SH AH0 N +INDEMNIFIED IH0 N - D EH1 M - N AH0 - F AY2 D +INDEMNIFY IH0 N - D EH1 M - N AH0 - F AY2 +INDEMNIFYING IH0 N - D EH2 M - N IH0 - F AY1 - IH0 NG +INDEMNITIES IH0 N - D EH1 M - N IH0 - T IY0 Z +INDEMNITY IH0 N - D EH1 M - N AH0 - T IY0 +INDEMNITY(2) IH0 N - D EH1 M - N IH0 - T IY0 +INDENT IH0 N - D EH1 N T +INDENTATION IH0 N - D EH2 N - T EY1 - SH AH0 N +INDENTURE IH0 N - D EH1 N - CH ER0 +INDENTURED IH0 N - D EH1 N - CH ER0 D +INDENTURES IH0 N - D EH1 N - CH ER0 Z +INDEPENDENCE IH2 N - D IH0 - P EH1 N - D AH0 N S +INDEPENDENCE'S IH2 N - D IH0 - P EH1 N - D AH0 N - S IH0 Z +INDEPENDENT IH2 N - D IH0 - P EH1 N - D AH0 N T +INDEPENDENTLY IH2 N - D IH0 - P EH1 N - D AH0 N T - L IY0 +INDEPENDENTS IH2 N - D IH0 - P EH1 N - D AH0 N T S +INDERAL IH1 N - D ER0 - AH0 L +INDESCRIBABLE IH2 N - D IH0 - S K R AY1 - B AH0 - B AH0 L +INDESTRUCTIBILITY IH2 N - D AH0 S T - R AH2 K - T IH0 - B IH1 - L IH0 - T IY0 +INDESTRUCTIBLE IH2 N - D AH0 S T - R AH1 K - T IH0 - B AH0 L +INDETERMINATE IH2 N - D IH0 - T ER1 - M IH0 - N IH0 T +INDEX IH1 N - D EH0 K S +INDEX'S IH1 N - D EH0 K - S IH0 Z +INDEXATION IH1 N - D EH2 K - S EY1 - SH AH0 N +INDEXED IH1 N - D EH0 K S T +INDEXER IH1 N - D EH2 K - S ER0 +INDEXERS IH1 N - D EH2 K - S ER0 Z +INDEXES IH1 N - D EH0 K - S IH0 Z +INDEXING IH1 N - D EH0 K - S IH0 NG +INDIA IH1 N - D IY0 - AH0 +INDIA'S IH1 N - D IY0 - AH0 Z +INDIAN IH1 N - D IY0 - AH0 N +INDIAN'S IH1 N - D IY0 - AH0 N Z +INDIANA IH2 N - D IY0 - AE1 - N AH0 +INDIANA'S IH2 N - D IY0 - AE1 - N AH0 Z +INDIANAPOLIS IH2 N - D IY0 - AH0 N - AE1 - P AH0 - L IH0 S +INDIANAPOLIS'S IH2 N - D IY0 - AH0 N - AE1 - P AH0 - L IH0 - S IH0 Z +INDIANIAN IH2 N - D IY0 - AE1 - N IY0 - AH0 N +INDIANIANS IH2 N - D IY0 - AE1 - N IY0 - AH0 N Z +INDIANOLA IH1 N - D IY0 - AH0 - N OW1 - L AH0 +INDIANS IH1 N - D IY0 - AH0 N Z +INDIANS' IH1 N - D IY0 - AH0 N Z +INDIC IH1 N - D IH0 K +INDICATE IH1 N - D AH0 - K EY2 T +INDICATED IH1 N - D AH0 - K EY2 - T AH0 D +INDICATED(2) IH1 N - D AH0 - K EY2 - T IH0 D +INDICATES IH1 N - D IH0 - K EY2 T S +INDICATING IH1 N - D AH0 - K EY2 - T IH0 NG +INDICATION IH2 N - D AH0 - K EY1 - SH AH0 N +INDICATIONS IH2 N - D AH0 - K EY1 - SH AH0 N Z +INDICATIVE IH0 N - D IH1 - K AH0 - T IH0 V +INDICATOR IH1 N - D AH0 - K EY2 - T ER0 +INDICATORS IH1 N - D AH0 - K EY2 - T ER0 Z +INDICES IH1 N - D IH0 - S IY2 Z +INDICES(2) IH1 N - D AH0 - S IH0 Z +INDICIA IH0 N - D IH1 S - Y AH0 +INDICT IH0 N - D AY1 T +INDICTED IH0 N - D AY1 - T AH0 D +INDICTED(2) IH0 N - D AY1 - T IH0 D +INDICTING IH0 N - D AY1 - T IH0 NG +INDICTMENT IH0 N - D AY1 T - M AH0 N T +INDICTMENTS IH0 N - D AY1 T - M AH0 N T S +INDIES IH1 N - D IY0 Z +INDIFFERENCE IH0 N - D IH1 - F ER0 - AH0 N S +INDIFFERENCE(2) IH0 N - D IH1 - F R AH0 N S +INDIFFERENT IH0 N - D IH1 - F R AH0 N T +INDIFFERENT(2) IH0 N - D IH1 - F ER0 - AH0 N T +INDIGENOUS IH0 N - D IH1 - JH AH0 - N AH0 S +INDIGENOUSLY IH0 N - D IH1 - JH AH0 - N AH0 S - L IY0 +INDIGENT IH1 N - D IH0 - JH AH0 N T +INDIGENTS IH1 N - D IH0 - JH AH0 N T S +INDIGEST IH0 N - D AY0 - JH EH1 S T +INDIGEST(2) IH0 N - D AH0 - JH EH1 S T +INDIGESTION IH2 N - D AY0 - JH EH1 S - CH AH0 N +INDIGNANT IH0 N - D IH1 G - N AH0 N T +INDIGNANTLY IH0 N - D IH1 G - N AH0 N T - L IY0 +INDIGNATION IH2 N - D IH0 G - N EY1 - SH AH0 N +INDIGNITIES IH0 N - D IH1 G - N AH0 - T IY0 Z +INDIGNITY IH0 N - D IH1 G - N AH0 - T IY0 +INDIGO IH1 N - D AH0 - G OW2 +INDIGO(2) IH1 N - D IH0 - G OW2 +INDIRA IH0 N - D IH1 - R AH0 +INDIRECT IH0 N - D ER0 - EH1 K T +INDIRECTLY IH0 N - D ER0 - EH1 K T - L IY0 +INDIRECTLY(2) IH0 N - D ER0 - EH1 K - L IY0 +INDISCREET IH0 N - D IH0 - S K R IY1 T +INDISCRETION IH2 N - D IH0 - S K R EH1 - SH AH0 N +INDISCRETIONS IH2 N - D IH0 - S K R EH1 - SH AH0 N Z +INDISCRIMINATE IH0 N - D IH0 - S K R IH1 - M AH0 - N AH0 T +INDISCRIMINATELY IH2 N - D IH0 - S K R IH1 - M AH0 - N AH0 T - L IY0 +INDISPENSABLE IH2 N - D IH0 - S P EH1 N - S AH0 - B AH0 L +INDISPENSIBLE IH2 N - D IH0 - S P EH1 N - S IH0 - B AH0 L +INDISPUTABLE IH2 N - D IH0 S - P Y UW1 - T AH0 - B AH0 L +INDISPUTABLY IH0 N - D IH1 - S P Y UW0 - T AE2 - B L IY0 +INDISTINCT IH0 N - D IH0 - S T IH1 NG K T +INDISTINGUISHABLE IH0 N - D IH0 - S T IH1 NG - G W IH0 - SH AH0 - B AH0 L +INDITE IH0 N - D AY1 T +INDITED IH0 N - D AY1 - T IH0 D +INDIUM IH1 N - D IY0 - AH0 M +INDIVIDUAL IH2 N - D AH0 - V IH1 - JH AH0 - W AH0 L +INDIVIDUAL'S IH2 N - D AH0 - V IH1 - JH AH0 - W AH0 L Z +INDIVIDUALISM IH2 N - D IH0 - V IH0 - D UW1 - AH0 - L IH2 - Z AH0 M +INDIVIDUALIST IH2 N - D IH0 - V IH0 - D UW1 - AH0 - L IH0 S T +INDIVIDUALISTIC IH2 N - D IH0 - V IH2 - JH UW0 - AH0 - L IH1 - S T IH0 K +INDIVIDUALISTS IH2 N - D AH0 - V IH1 - JH UW0 - AH0 - L IH0 S T S +INDIVIDUALISTS(2) IH2 N - D AH0 - V IH1 - JH UW0 - AH0 - L IH0 S S +INDIVIDUALISTS(3) IH2 N - D AH0 - V IH1 - JH UW0 - AH0 - L IH0 S +INDIVIDUALITY IH0 N - D IH2 - V IH0 - JH UW0 - AE1 - L IH0 - T IY0 +INDIVIDUALIZE IH2 N - D IH0 - V IH1 - JH UW0 - AH0 - L AY0 Z +INDIVIDUALIZE(2) IH2 N - D IH0 - V IH1 - JH AH0 - L AY0 Z +INDIVIDUALIZED IH2 N - D IH0 - V IH1 - JH UW0 - AH0 - L AY0 Z D +INDIVIDUALIZED(2) IH2 N - D IH0 - V IH1 - JH AH0 - L AY0 Z D +INDIVIDUALLY IH2 N - D IH0 - V IH1 - JH UW0 - AH0 - L IY0 +INDIVIDUALLY(2) IH2 N - D IH0 - V IH1 - JH AH0 - L IY0 +INDIVIDUALS IH2 N - D AH0 - V IH1 - JH AH0 - W AH0 L Z +INDIVIDUALS' IH2 N - D IH0 - V IH1 - JH AH0 - W AH0 L Z +INDIVISIBLE IH2 N - D IH0 - V IH1 - S IH0 - B AH0 L +INDO IH1 N - D OW0 +INDO-EUROPEAN IH2 N - D OW0 - Y UH2 - R AH0 - P IY1 - AH0 N +INDOCHINA IH2 N - D OW0 - CH AY1 - N AH0 +INDOCHINESE IH2 N - D OW0 - CH AY2 - N IY1 Z +INDOCTRINATED IH0 N - D AA1 K - T R AH0 - N EY2 - T IH0 D +INDOCTRINATION IH0 N - D AA2 K - T R AH0 - N EY1 - SH AH0 N +INDOLENT IH1 N - D AH0 - L AH0 N T +INDOMITABLE IH0 N - D AA1 - M AH0 - T AH0 - B AH0 L +INDONESIA IH2 N - D OW0 - N IY1 - ZH AH0 +INDONESIA'S IH2 N - D OW0 - N IY1 - ZH AH0 Z +INDONESIAN IH2 N - D OW0 - N IY1 - ZH AH0 N +INDONESIANS IH2 N - D OW0 - N IY1 - S IY0 - AH0 N Z +INDONESIANS(2) IH2 N - D OW0 - N IY1 - ZH AH0 N Z +INDOOR IH1 N - D AO2 R +INDOORS IH1 N - D AO2 R Z +INDOSUEZ IH1 N - D OW0 - S UW0 - EY1 Z +INDOSUEZ(2) IH1 N - D OW0 - S UW0 - EH0 Z +INDOVINA IH0 N - D OW0 - V IY1 - N AH0 +INDRI IH2 N - D R IY1 +INDUCE IH0 N - D UW1 S +INDUCED IH0 N - D UW1 S T +INDUCEMENT IH0 N - D UW1 S - M AH0 N T +INDUCEMENTS IH0 N - D UW1 S - M AH0 N T S +INDUCES IH0 N - D UW1 - S IH0 Z +INDUCING IH0 N - D UW1 - S IH0 NG +INDUCT IH0 N - D AH1 K T +INDUCTANCE IH0 N - D AH1 K - T AH0 N S +INDUCTED IH0 N - D AH1 K - T AH0 D +INDUCTED(2) IH0 N - D AH1 K - T IH0 D +INDUCTEE IH0 N - D AH1 K - T IY1 +INDUCTEES IH0 N - D AH1 K - T IY1 Z +INDUCTION IH0 N - D AH1 K - SH AH0 N +INDUCTOR IH0 N - D AH1 K - T ER0 +INDULGE IH0 N - D AH1 L JH +INDULGED IH0 N - D AH1 L JH D +INDULGENCE IH0 N - D AH1 L - JH AH0 N S +INDULGENCES IH0 N - D AH1 L - JH AH0 N - S AH0 Z +INDULGENCES(2) IH0 N - D AH1 L - JH AH0 N - S IH0 Z +INDULGENT IH0 N - D AH1 L - JH AH0 N T +INDULGES IH0 N - D AH1 L - JH IH0 Z +INDULGING IH0 N - D AH1 L - JH IH0 NG +INDUS IH1 N - D AH0 S +INDUSTRI IH0 N - D AH1 S - T R IY0 +INDUSTRIA IH0 N - D AH1 S - T R IY0 - AH0 +INDUSTRIAL IH0 N - D AH1 S - T R IY0 - AH0 L +INDUSTRIAL'S IH0 N - D AH1 S - T R IY0 - AH0 L Z +INDUSTRIALE IH2 N - D AH0 S - T R IY0 - AA1 - L IY0 +INDUSTRIALI IH0 N - D AH2 S - T R IY0 - AA1 - L IY0 +INDUSTRIALIST IH0 N - D AH1 S - T R IY0 - AH0 - L IH0 S T +INDUSTRIALISTS IH0 N - D AH1 S - T R IY0 - AH0 - L IH0 S T S +INDUSTRIALISTS(2) IH0 N - D AH1 S - T R IY0 - AH0 - L IH0 S S +INDUSTRIALISTS(3) IH0 N - D AH1 S - T R IY0 - AH0 - L IH0 S +INDUSTRIALIZATION IH0 N - D AH2 S - T R IY0 - AH0 - L IH0 - Z EY1 - SH AH0 N +INDUSTRIALIZE IH0 N - D AH1 S - T R IY0 - AH0 - L AY2 Z +INDUSTRIALIZED IH0 N - D AH1 S - T R IY0 - AH0 - L AY2 Z D +INDUSTRIALIZING IH0 N - D AH1 S - T R IY0 - AH0 - L AY2 - Z IH0 NG +INDUSTRIALLY IH0 N - D AH1 S - T R IY0 - AH0 - L IY0 +INDUSTRIALS IH0 N - D AH1 S - T R IY0 - AH0 L Z +INDUSTRIALS' IH0 N - D AH1 S - T R IY0 - AH0 L Z +INDUSTRIE IH1 N - D AH0 S - T R IY0 +INDUSTRIELLE IH0 N - D AH2 S - T R IY0 - EH1 L +INDUSTRIELLE(2) IH0 N - D AH1 S - T R IY0 - AH0 - L EH2 +INDUSTRIER IH1 N - D AH0 S - T R IY2 - ER0 +INDUSTRIES IH1 N - D AH0 S - T R IY0 Z +INDUSTRIES' IH1 N - D AH0 S - T R IY0 Z +INDUSTRIOUS IH0 N - D AH1 S - T R IY0 - AH0 S +INDUSTRIVAERDEN IH1 N - D AH0 S - T R IY0 - V EH2 R - D AH0 N +INDUSTRY IH1 N - D AH0 S - T R IY0 +INDUSTRY'S IH1 N - D AH0 S - T R IY0 Z +INDUSTRYWIDE IH1 N - D AH0 S - T R IY0 - W AY2 D +INDY IH1 N - D IY0 +INDYK IH1 N - D IH0 K +INEDIBLE IH0 N - EH1 - D AH0 - B AH0 L +INEFFABLE IH0 N - EH1 - F AH0 - B AH0 L +INEFFECTIVE IH0 N - IH0 - F EH1 K - T IH0 V +INEFFECTIVENESS IH2 N - AH0 - F EH1 K - T IH0 V - N AH0 S +INEFFECTUAL IH2 N - AH0 - F EH1 K - CH UW0 - AH0 L +INEFFICIENCIES IH0 N - IH0 - F IH1 - SH AH0 N - S IY0 Z +INEFFICIENCY IH0 N - IH0 - F IH1 - SH AH0 N - S IY0 +INEFFICIENT IH0 N - IH0 - F IH1 - SH AH0 N T +INEFFICIENTLY IH0 N - IH0 - F IH1 - SH AH0 N T - L IY0 +INELASTIC IH2 N - AH0 - L AE1 - S T IH0 K +INELIGIBLE IH0 N - EH1 - L IH0 - JH AH0 - B AH0 L +INEPT IH0 N - EH1 P T +INEPTITUDE IH0 N - EH1 P - T IH0 - T UW2 D +INEPTLY IH0 N - EH1 P T - L IY0 +INEPTNESS IH0 - N EH1 P T - N IH0 S +INEQUALITIES IH2 N - AH0 - K W AA1 - L IH0 - T IY0 Z +INEQUALITIES(2) IH2 N - IH0 - K W AA1 - L IH0 - T IY0 Z +INEQUALITIES(3) IH1 N - IY0 - K W AA1 - L IH0 - T IY0 Z +INEQUALITY IH2 N - IH0 - K W AA1 - L AH0 - T IY0 +INEQUALITY(2) IH2 N - AH0 - K W AA1 - L AH0 - T IY0 +INEQUALITY(3) IH1 N - IY0 - K W AA1 - L AH0 - T IY0 +INEQUITABLE IH0 N - EH1 - K W AH0 - T AH0 - B AH0 L +INEQUITIES IH0 N - EH1 - K W AH0 - T IY0 Z +INEQUITY IH0 N - EH1 - K W AH0 - T IY0 +INERCO IH0 - N ER1 - K OW0 +INERT IH0 - N ER1 T +INERTIA IH0 - N ER1 - SH AH0 +INERTIAL IH0 - N ER1 - SH AH0 L +INERTNESS IH0 - N ER1 T - N AH0 S +INES IH1 N - IH0 S +INES(2) IH0 N - EH1 S +INESCAPABLE IH2 N - IH0 S - K EY1 - P AH0 - B AH0 L +INEVITABILITY IH0 N - EH2 - V IH0 - T AH0 - B IH1 - L IH0 - T IY0 +INEVITABLE IH0 N - EH1 - V AH0 - T AH0 - B AH0 L +INEVITABLY IH0 N - EH1 - V AH0 - T AH0 - B L IY0 +INEXACT IH0 N - IH0 G - Z AE1 K T +INEXCUSABLE IH0 N - IH0 K - S K Y UW1 - Z AH0 - B AH0 L +INEXHAUSTIBLE IH0 N - IH0 G - Z AO1 - S T AH0 - B AH0 L +INEXORABLE IH2 N - EH1 K - S ER0 - AH0 - B AH0 L +INEXORABLY IH0 N - EH1 K - S ER0 - AH0 - B L IY0 +INEXPENSIVE IH2 N - IH0 K - S P EH1 N - S IH0 V +INEXPENSIVELY IH2 N - AH0 K - S P EH1 N - S IH0 V - L IY0 +INEXPERIENCE IH2 N - IH0 K - S P IH1 - R IY0 - AH0 N S +INEXPERIENCED IH0 N - IH0 K - S P IH1 - R IY0 - AH0 N S T +INEXPLICABLE IH2 N - AH0 K - S P L IH1 - S AH0 - B AH0 L +INEXPLICABLY IH2 N - IH0 K - S P L IH1 - K AH0 - B L IY0 +INEXTRICABLY IH0 N - EH1 K - S T R IH0 - K AH0 - B L IY0 +INEZ IH0 N - EH1 Z +INFALLIBILITY IH0 N - F AE2 - L IH0 - B IH1 - L IH0 - T IY0 +INFALLIBLE IH0 N - F AE1 - L AH0 - B AH0 L +INFAMOUS IH1 N - F AH0 - M AH0 S +INFAMY IH1 N - F AH0 - M IY0 +INFANCY IH1 N - F AH0 N - S IY0 +INFANT IH1 N - F AH0 N T +INFANT'S IH1 N - F AH0 N T S +INFANTE IH0 N - F AA1 N - T EY2 +INFANTICIDE IH0 N - F AE1 N - T AH0 - S AY2 D +INFANTILE IH1 N - F AH0 N - T IH0 L +INFANTINO IH0 N - F AA0 N - T IY1 - N OW0 +INFANTRY IH1 N - F AH0 N - T R IY0 +INFANTRYMAN IH1 N - F AE0 N - T R IY0 - M AH0 N +INFANTRYMEN IH1 N - F AE0 N - T R IY0 - M AH0 N +INFANTS IH1 N - F AH0 N T S +INFANTS' IH1 N - F AH0 N T S +INFARCTION IH0 N - F AA1 R K - SH AH0 N +INFATUATE IH0 N - F AE1 - CH UW0 - EY2 T +INFATUATED IH0 N - F AE1 - CH UW0 - EY2 - T IH0 D +INFATUATING IH0 N - F AE1 - CH UW0 - EY2 - T IH0 NG +INFATUATION IH0 N - F AE2 - CH UW0 - EY1 - SH AH0 N +INFEASIBLE IH0 N - F IY1 - Z AH0 - B AH0 L +INFECT IH0 N - F EH1 K T +INFECTED IH0 N - F EH1 K - T AH0 D +INFECTED(2) IH0 N - F EH1 K - T IH0 D +INFECTING IH0 N - F EH1 K - T IH0 NG +INFECTION IH0 N - F EH1 K - SH AH0 N +INFECTIONS IH0 N - F EH1 K - SH AH0 N Z +INFECTIOUS IH0 N - F EH1 K - SH AH0 S +INFECTIVE IH0 N - F EH1 K - T IH0 V +INFECTS IH0 N - F EH1 K T S +INFER IH0 N - F ER1 +INFERENCE IH1 N - F ER0 - AH0 N S +INFERENCES IH1 N - F ER0 - EH2 N - S IH0 Z +INFERIOR IH0 N - F IH1 - R IY0 - ER0 +INFERIORITY IH2 N - F IH0 - R IY0 - AO1 - R IH0 - T IY0 +INFERNAL IH0 N - F ER1 - N AH0 L +INFERNO IH0 N - F ER1 - N OW0 +INFERRED IH0 N - F ER1 D +INFERRING IH0 N - F ER1 - IH0 NG +INFERS IH0 N - F ER1 Z +INFERTILE IH0 N - F ER1 - T AH0 L +INFERTILITY IH2 N - F ER0 - T IH1 - L IH0 - T IY0 +INFEST IH0 N - F EH1 S T +INFESTATION IH0 N - F EH1 - S T EY1 - SH AH0 N +INFESTATIONS IH2 N - F EH2 - S T EY1 - SH AH0 N Z +INFESTED IH0 N - F EH1 - S T AH0 D +INFESTED(2) IH0 N - F EH1 - S T IH0 D +INFESTS IH0 N - F EH1 S T S +INFESTS(2) IH2 N - F EH1 S S +INFESTS(3) IH2 N - F EH1 S +INFIDEL IH1 N - F IH0 - D EH2 L +INFIDELITIES IH2 N - F IH0 - D EH1 - L IH0 - T IY0 Z +INFIDELITY IH2 N - F IH0 - D EH1 - L IH0 - T IY0 +INFIDELS IH1 N - F IH0 - D EH0 L Z +INFIELD IH1 N - F IY2 L D +INFIELDER IH1 N - F IY2 L - D ER0 +INFIELDERS IH1 N - F IY2 L - D ER0 Z +INFIGHTING IH1 N - F AY2 - T IH0 NG +INFILTRATE IH0 N - F IH1 L - T R EY2 T +INFILTRATE(2) IH1 N - F IH0 L - T R EY2 T +INFILTRATED IH0 N - F IH1 L - T R EY2 - T IH0 D +INFILTRATED(2) IH1 N - F IH0 L - T R EY2 - T IH0 D +INFILTRATING IH0 N - F IH1 L - T R EY2 - T IH0 NG +INFILTRATION IH2 N - F IH0 L - T R EY1 - SH AH0 N +INFILTRATOR IH1 N - F IH0 L - T R EY2 - T ER0 +INFILTRATORS IH1 N - F IH0 L - T R EY2 - T ER0 Z +INFINGER IH1 N - F IH0 - NG ER0 +INFINITE IH1 N - F AH0 - N AH0 T +INFINITELY IH1 N - F AH0 - N AH0 T - L IY0 +INFINITESIMAL IH2 N - F IH0 - N IH0 - T EH1 - S IH0 - M AH0 L +INFINITI IH0 N - F IH1 - N IH0 - T IY0 +INFINITIVE IH0 N - F IH1 - N IH0 - T IH0 V +INFINITUM IH0 N - F IH1 - N IH0 - T AH0 M +INFINITY IH0 N - F IH1 - N AH0 - T IY0 +INFINITY(2) IH0 N - F IH1 - N IH0 - T IY0 +INFIRM IH0 N - F ER1 M +INFIRMARY IH0 N - F ER1 - M ER0 - IY0 +INFIRMED IH0 N - F ER1 M D +INFIRMITIES IH0 N - F ER1 - M IH0 - T IY0 Z +INFIRMITY IH0 N - F ER1 - M IH0 - T IY0 +INFLAME IH0 N - F L EY1 M +INFLAMED IH0 N - F L EY1 M D +INFLAMES IH0 N - F L EY1 M Z +INFLAMING IH0 N - F L EY1 - M IH0 NG +INFLAMMABLE IH0 N - F L AE1 - M AH0 - B AH0 L +INFLAMMATION IH2 N - F L AH0 - M EY1 - SH AH0 N +INFLAMMATORY IH0 N - F L AE1 - M AH0 - T AO2 - R IY0 +INFLATABLE IH0 N - F L EY1 - T AH0 - B AH0 L +INFLATE IH0 N - F L EY1 T +INFLATED IH0 N - F L EY1 - T AH0 D +INFLATED(2) IH0 N - F L EY1 - T IH0 D +INFLATES IH0 N - F L EY1 T S +INFLATING IH0 N - F L EY1 - T IH0 NG +INFLATION IH0 N - F L EY1 - SH AH0 N +INFLATION'S IH0 N - F L EY1 - SH AH0 N Z +INFLATIONARY IH0 N - F L EY1 - SH AH0 N - EH2 - R IY0 +INFLATOR IH0 N - F L EY1 - T ER0 +INFLECTED IH0 N - F L EH1 K - T AH0 D +INFLECTION IH0 N - F L EH1 K - SH AH0 N +INFLECTIONS IH0 N - F L EH1 K - SH AH0 N Z +INFLEXIBILITY IH0 N - F L EH2 K - S IH0 - B IH1 - L IH0 - T IY0 +INFLEXIBLE IH0 N - F L EH1 K - S AH0 - B AH0 L +INFLICT IH0 N - F L IH1 K T +INFLICTED IH0 N - F L IH1 K - T IH0 D +INFLICTING IH0 N - F L IH1 K - T IH0 NG +INFLICTION IH0 N - F L IH1 K - SH AH0 N +INFLICTS IH0 N - F L IH1 K T S +INFLICTS(2) IH0 N - F L IH1 K S +INFLIGHT IH1 N - F L AY2 T +INFLOW IH1 N - F L OW2 +INFLOWS IH1 N - F L OW2 Z +INFLUENCE IH1 N - F L UW0 - AH0 N S +INFLUENCED IH1 N - F L UW0 - AH0 N S T +INFLUENCES IH1 N - F L UW2 - AH0 N - S IH0 Z +INFLUENCING IH1 N - F L UW2 - AH0 N - S IH0 NG +INFLUENTIAL IH2 N - F L UW0 - EH1 N - CH AH0 L +INFLUENZA IH2 N - F L UW0 - EH1 N - Z AH0 +INFLUX IH1 N - F L AH2 K S +INFO IH1 N - F OW0 +INFOCORP IH1 N - F OW0 - K AO2 R P +INFOMERCIAL IH1 N - F OW0 - M ER2 - SH AH0 L +INFOMERCIAL'S IH1 N - F OW0 - M ER2 - SH AH0 L Z +INFOMERCIALS IH1 N - F OW0 - M ER2 - SH AH0 L Z +INFORM IH0 N - F AO1 R M +INFORMAL IH0 N - F AO1 R - M AH0 L +INFORMALITY IH2 N - F ER0 - M AE1 - L IH0 - T IY0 +INFORMALLY IH0 N - F AO1 R - M AH0 - L IY0 +INFORMALS IH0 N - F AO1 R - M AH0 L Z +INFORMANT IH0 N - F AO1 R - M AH0 N T +INFORMANTS IH0 N - F AO1 R - M AH0 N T S +INFORMATIC IH0 N - F ER0 - M AE1 - T IH0 K +INFORMATIC(2) IH0 N - F AO1 R - M AE1 - T IH0 K +INFORMATICS IH2 N - F ER0 - M AE1 - T IH0 K S +INFORMATICS(2) IH0 N - F AO1 R - M AE1 - T IH0 K S +INFORMATION IH2 N - F ER0 - M EY1 - SH AH0 N +INFORMATION'S IH2 N - F ER0 - M EY1 - SH AH0 N Z +INFORMATION'S(2) IH0 N - F AO1 R - M EY1 - SH AH0 N Z +INFORMATION(2) IH0 N - F AO1 R - M EY1 - SH AH0 N +INFORMATIONAL IH2 N - F ER0 - M EY1 - SH AH0 - N AH0 L +INFORMATIONAL(2) IH0 N - F AO1 R - M EY1 - SH AH0 - N AH0 L +INFORMATIONS IH2 N - F ER0 - M EY1 - SH AH0 N Z +INFORMATIONS(2) IH0 N - F AO1 R - M EY1 - SH AH0 N Z +INFORMATIVE IH0 N - F AO1 R - M AH0 - T IH0 V +INFORMED IH0 N - F AO1 R M D +INFORMER IH0 N - F AO1 R - M ER0 +INFORMERS IH0 N - F AO1 R - M ER0 Z +INFORMING IH0 N - F AO1 R - M IH0 NG +INFORMIX IH0 N - F AO1 R - M IH0 K S +INFORMS IH0 N - F AO1 R M Z +INFOSCAN IH1 N - F OW0 - S K AE2 N +INFOTAINMENT IH0 N - F OW0 - T EY1 N - M AH0 N T +INFOTECH IH1 N - F OW0 - T EH2 K +INFOTECHNOLOGY IH2 N - F OW0 - T EH0 K - N AA1 - L AH0 - JH IY0 +INFOTRON IH1 N - F OW0 - T R AA2 N +INFOTRON'S IH1 N - F OW0 - T R AA2 N Z +INFOWORLD IH1 N - F OW0 - W ER2 L D +INFRA IH1 N - F R AH0 +INFRACTION IH0 N - F R AE1 K - SH AH0 N +INFRACTIONS IH0 N - F R AE1 K - SH AH0 N Z +INFRARED IH2 N - F R ER0 - EH1 D +INFRASTRUCTURAL IH2 N - F R AH0 - S T R AH1 K - CH ER0 - AH0 L +INFRASTRUCTURE IH2 N - F R AH0 - S T R AH1 K - CH ER0 +INFRASTRUCTURES IH2 N - F R AH0 - S T R AH1 K - CH ER0 Z +INFREQUENCY IH0 N - F R IY1 - K W AH0 N - S IY0 +INFREQUENT IH0 N - F R IY1 - K W AH0 N T +INFREQUENTLY IH0 N - F R IY1 - K W AH0 N T - L IY0 +INFRINGE IH0 N - F R IH1 N JH +INFRINGED IH0 N - F R IH1 N JH D +INFRINGEMENT IH0 N - F R IH1 N JH - M AH0 N T +INFRINGEMENTS IH0 N - F R IH1 N JH - M AH0 N T S +INFRINGES IH0 N - F R IH1 N - JH IH0 Z +INFRINGING IH0 N - F R IH1 N - JH IH0 NG +INFURIATE IH0 N - F Y UH1 - R IY0 - EY2 T +INFURIATED IH0 N - F Y UH1 - R IY0 - EY2 - T AH0 D +INFURIATED(2) IH0 N - F Y UH1 - R IY0 - EY2 - T IH0 D +INFURIATES IH0 N - F Y UH1 - R IY0 - EY2 T S +INFURIATING IH0 N - F Y UH1 - R IY0 - EY2 - T IH0 NG +INFUSE IH0 N - F Y UW1 Z +INFUSED IH0 N - F Y UW1 Z D +INFUSES IH0 N - F Y UW1 - Z IH0 Z +INFUSING IH0 N - F Y UW1 - Z IH0 NG +INFUSION IH0 N - F Y UW1 - ZH AH0 N +INFUSIONS IH0 N - F Y UW1 - ZH AH0 N Z +ING IH1 NG +INGA IY1 NG - G AH0 +INGALLS IH0 NG - G AO1 L Z +INGALSBE IH1 NG - G AH0 L S - B IY0 +INGAR IH1 NG - G ER0 +INGBER IH1 NG - B ER0 +INGE IH1 N JH +INGELHEIM IH1 NG - G AH0 L - HH AY2 M +INGELS IH1 NG - G AH0 L Z +INGEMAR IH1 NG - G IH0 - M ER0 +INGEMAR(2) IH1 NG - G IH0 - M AA0 R +INGENIOUS IH0 N - JH IY1 - N Y AH0 S +INGENIOUSLY IH0 N - JH IY1 - N Y AH0 S - L IY0 +INGENITO IH0 NG - G EH0 - N IY1 - T OW0 +INGENITO(2) IH0 NG - JH EH0 - N IY1 - T OW0 +INGENUE IH0 N - JH EH1 - N Y UW0 +INGENUE(2) AA1 N - JH AH0 - N UW2 +INGENUE(3) IH0 N - JH EH1 - N UW0 +INGENUE(4) IH1 N - JH AH0 - N UW0 +INGENUITY IH0 N - JH AH0 - N UW1 - AH0 - T IY0 +INGENUOUS IH0 N - JH EH1 - N Y UW0 - AH0 S +INGER IH1 - NG ER0 +INGERSOLL IH1 NG - G ER0 - S AO0 L +INGERSON IH1 NG - G ER0 - S AH0 N +INGEST IH0 N - JH EH1 S T +INGESTED IH0 N - JH EH1 - S T AH0 D +INGESTING IH0 N - JH EH1 - S T IH0 NG +INGESTION IH0 N - JH EH1 S - CH AH0 N +INGHAM IH1 - NG AH0 M +INGHRAM IH0 NG - G R AE1 M +INGIMARSON IH1 - NG AH0 - M AA2 R - S AH0 N +INGLE IH1 NG - G AH0 L +INGLEBERT IH1 NG - G AH0 L - B ER0 T +INGLENOOK IH1 NG - G AH0 L - N UH2 K +INGLES IH1 NG - G AH0 L Z +INGLESE IH1 NG - G L IY0 Z +INGLETT IH0 NG - G L EH1 T +INGLEWOOD IH1 NG - G AH0 L - W UH2 D +INGLIS IH1 NG - G L IH0 S +INGLISH IH1 NG - G AH0 L - IH0 SH +INGLORIOUS IH0 N - G L AO1 - R IY0 - AH0 S +INGMAN IH1 NG - M AH0 N +INGMAR IH1 NG - M AA0 R +INGMIRE IH1 NG - M AY0 R +INGO IH1 NG - G OW0 +INGOGLIA IH0 NG - G OW1 - G L IY0 - AH0 +INGOLD IH1 NG - G OW0 L D +INGOT IH1 NG - G AH0 T +INGOTS IH1 NG - G AH0 T S +INGRAHAM IH1 NG - G R AH0 - HH AE2 M +INGRAINED IH0 N - G R EY1 N D +INGRAM IH1 NG - G R AH0 M +INGRAO IY1 NG - G R AW0 +INGRASSIA IH0 NG - G R AA1 - SH AH0 +INGRATIATE IH0 NG - G R EY1 - SH IY0 - EY2 T +INGRATIATING IH0 NG - G R EY1 - SH IY0 - EY2 - T IH0 NG +INGREDIENT IH0 N - G R IY1 - D IY0 - AH0 N T +INGREDIENTS IH0 N - G R IY1 - D IY0 - AH0 N T S +INGRIA IH1 NG - G R IY0 - AH0 +INGRID IH1 NG - G R IH0 D +INGRUM IH1 NG - G R AH0 M +INGVAR IH1 NG - V AA0 R +INGWERSEN IH1 NG - G W ER0 - S AH0 N +INHABIT IH0 N - HH AE1 - B AH0 T +INHABITANT IH0 N - HH AE1 - B AH0 - T AH0 N T +INHABITANT(2) IH0 N - HH AE1 - B IH0 - T AH0 N T +INHABITANTS IH0 N - HH AE1 - B AH0 - T AH0 N T S +INHABITANTS(2) IH0 N - HH AE1 - B IH0 - T AH0 N T S +INHABITATION IH0 N - HH AE2 - B AH0 - T EY1 - SH AH0 N +INHABITED IH0 N - HH AE1 - B AH0 - T AH0 D +INHABITING IH0 N - HH AE1 - B AH0 - T IH0 NG +INHABITS IH0 N - HH AE1 - B AH0 T S +INHALABLE IH0 N - HH EY1 - L AH0 - B AH0 L +INHALANT IH0 N - HH EY1 - L AH0 N T +INHALANTS IH0 N - HH EY1 - L AH0 N T S +INHALATION IH0 N - AH0 - L EY1 - SH AH0 N +INHALATION(2) IH2 N - HH AH0 - L EY1 - SH AH0 N +INHALE IH0 N - HH EY1 L +INHALED IH0 N - HH EY1 L D +INHALER IH0 N - HH EY1 - L ER0 +INHALING IH0 N - HH EY1 - L IH0 NG +INHERENT IH0 N - HH IH1 - R AH0 N T +INHERENT(2) IH0 N - HH EH1 - R AH0 N T +INHERENTLY IH0 N - HH IH1 - R AH0 N T - L IY0 +INHERENTLY(2) IH0 N - HH EH1 - R AH0 N T - L IY0 +INHERIT IH0 N - HH EH1 - R AH0 T +INHERITABLE IH0 N - HH EH1 - R AH0 - T AH0 - B AH0 L +INHERITANCE IH0 N - HH EH1 - R AH0 - T AH0 N S +INHERITED IH0 N - HH EH1 - R AH0 - T IH0 D +INHERITING IH0 N - HH EH1 - R AH0 - T IH0 NG +INHERITOR IH0 N - HH EH1 - R AH0 - T ER0 +INHERITS IH0 N - HH EH1 - R AH0 T S +INHIBIT IH0 N - HH IH1 - B AH0 T +INHIBITED IH0 N - HH IH1 - B AH0 - T IH0 D +INHIBITING IH0 N - HH IH1 - B AH0 - T IH0 NG +INHIBITION IH2 N - HH AH0 - B IH1 - SH AH0 N +INHIBITION(2) IH2 N - AH0 - B IH1 - SH AH0 N +INHIBITIONS IH2 N - HH AH0 - B IH1 - SH AH0 N Z +INHIBITIONS(2) IH2 N - AH0 - B IH1 - SH AH0 N Z +INHIBITOR IH0 N - HH IH1 - B AH0 - T ER0 +INHIBITORS IH0 N - HH IH1 - B AH0 - T ER0 Z +INHIBITORY IH0 N - HH IH1 - B AH0 - T AO2 - R IY0 +INHIBITS IH0 N - HH IH1 - B AH0 T S +INHOFE IH1 N - HH OW2 F +INHOFE'S IH1 N - HH OW2 F S +INHOFE'S(2) IH1 N - HH AA2 F S +INHOFE(2) IH1 N - HH AA2 F +INHOSPITABLE IH0 N - HH AA1 - S P AH0 - T AH0 - B AH0 L +INHOSPITABLE(2) IH0 N - HH AA0 - S P IH1 - T AH0 - B AH0 L +INHOUSE IH1 N - HH AW2 S +INHUMAN IH0 N - HH Y UW1 - M AH0 N +INHUMANE IH0 N - HH Y UW0 - M EY1 N +INHUMANITY IH0 N - HH Y UW0 - M AE1 - N AH0 - T IY0 +INIGA IH0 - N IY1 - G AH0 +INIGUEZ IH0 - N IY1 - G EH0 Z +INIKI IY0 - N IY1 - K IY0 +INIKPRATT IH0 - N IY1 K - P R AE0 T +INIMICAL IH0 - N IH1 - M IH0 - K AH0 L +INIMITABLE IH0 - N IH1 - M AH0 - T AH0 - B AH0 L +INISS IH1 N - IH0 S +INITIAL IH0 - N IH1 - SH AH0 L +INITIALED IH0 - N IH1 - SH AH0 L D +INITIALING IH - N IH1 - SH AH0 L - IH0 NG +INITIALLY IH0 - N IH1 - SH AH0 - L IY0 +INITIALS IH0 - N IH1 - SH AH0 L Z +INITIATE IH0 - N IH1 - SH IY0 - EY2 T +INITIATED IH0 - N IH1 - SH IY0 - EY2 - T AH0 D +INITIATED(2) IH0 - N IH1 - SH IY0 - EY2 - T IH0 D +INITIATES IH0 - N IH1 - SH IY0 - AH0 T S +INITIATING IH0 - N IH1 - SH IY0 - EY2 - T IH0 NG +INITIATION IH0 - N IH2 - SH IY0 - EY1 - SH AH0 N +INITIATIVE IH0 - N IH1 - SH AH0 - T IH0 V +INITIATIVE(2) IH0 - N IH1 - SH Y AH0 - T IH0 V +INITIATIVES IH0 - N IH1 - SH AH0 - T IH0 V Z +INITIATIVES(2) IH0 - N IH1 - SH Y AH0 - T IH0 V Z +INITIATOR IH2 - N IH0 - SH IY1 - EY0 - T ER0 +INITIATORS IH0 - N IH1 - SH IY0 - EY0 - T ER0 Z +INITIO IH0 - N IH1 - T IY0 - OW0 +INITIO(2) IH0 - N IH1 - SH IY0 - OW0 +INIZIATIVA IH2 - N IH0 - Z IY2 - AH0 - T IY1 - V AH0 +INJECT IH0 N - JH EH1 K T +INJECTABLE IH0 N - JH EH1 K - T AH0 - B AH0 L +INJECTED IH0 N - JH EH1 K - T AH0 D +INJECTED(2) IH0 N - JH EH1 K - T IH0 D +INJECTING IH0 N - JH EH1 K - T IH0 NG +INJECTION IH0 N - JH EH1 K - SH AH0 N +INJECTIONS IH0 N - JH EH1 K - SH AH0 N Z +INJECTOR IH0 N - JH EH1 K - T ER0 +INJECTORS IH0 N - JH EH1 K - T ER0 Z +INJECTS IH0 N - JH EH1 K T S +INJUDICIOUS IH0 N - JH AH2 - D IH1 - SH AH0 S +INJUNCTION IH0 N - JH AH1 NG K - SH AH0 N +INJUNCTION(2) IH0 N - JH AH1 NG - SH AH0 N +INJUNCTIONS IH0 N - JH AH1 NG K - SH AH0 N Z +INJUNCTIONS(2) IH0 N - JH AH1 NG - SH AH0 N Z +INJUNCTIVE IH0 N - JH AH1 NG K - T IH0 V +INJUNCTIVE(2) IH0 N - JH AH1 NG - T IH0 V +INJURE IH1 N - JH ER0 +INJURED IH1 N - JH ER0 D +INJURES IH1 N - JH ER0 Z +INJURIES IH1 N - JH ER0 - IY0 Z +INJURING IH1 N - JH ER0 - IH0 NG +INJURIOUS IH0 N - JH UH1 - R IY0 - AH0 S +INJURY IH1 N - JH ER0 - IY0 +INJUSTICE IH0 N - JH AH1 - S T IH0 S +INJUSTICES IH0 N - JH AH1 - S T AH0 - S IH0 Z +INK IH1 NG K +INKATHA IH0 NG - K AE1 - TH AH0 +INKATHA'S IH0 NG - K AE1 - TH AH0 Z +INKATHA'S(2) IH0 NG - K AA1 - T AH2 Z +INKATHA'S(3) IH0 NG - K AA1 - T AH0 Z +INKATHA(2) IH0 NG - K AA1 - T AH2 +INKATHA(3) IH0 NG - K AA1 - T AH0 +INKBLOT IH1 NG K - B L AA2 T +INKJET IH1 NG K - JH EH2 T +INKLING IH1 NG - K L IH0 NG +INKS IH1 NG K S +INKY IH1 NG - K IY0 +INLAID IH1 N - L EY2 D +INLAND IH1 N - L AE2 N D +INLAND'S IH1 N - L AH0 N D Z +INLAW IH0 N - L AO1 +INLAW(2) IH1 N - L AO2 +INLAWS IH0 N - L AO1 Z +INLAWS(2) IH1 N - L AO0 Z +INLAY IH1 N - L EY2 +INLET IH1 N - L EH2 T +INLETS IH1 N - L EH2 T S +INLOW IH0 N - L OW1 +INMAC IH1 N - M AE0 K +INMAN IH1 N - M AH0 N +INMAN'S IH1 N - M AH0 N Z +INMARSAT IH0 N - M AA1 R - S AE1 T +INMATE IH1 N - M EY2 T +INMATE'S IH1 N - M EY2 T S +INMATES IH1 N - M EY2 T S +INMEX IH1 N - M EH2 K S +INMOBILIARIA IH0 N - M OW2 - B AH0 - L IY0 - EH1 - R IY0 - AH0 +INMON IH1 N - M AH0 N +INMONT IH1 N - M AA2 N T +INN IH1 N +INN'S IH1 N Z +INNARD IH1 - N ER0 D +INNARDS IH1 - N ER0 D Z +INNATE IH0 - N EY1 T +INNATELY IH0 - N EY1 T - L IY0 +INNER IH1 - N ER0 +INNERMOST IH1 - N ER0 - M OW2 S T +INNERSPACE IH1 - N ER0 - S P EY2 S +INNES IH1 - N AH0 S +INNESS IH1 N - IH0 S +INNING IH1 - N IH0 NG +INNINGS IH1 - N IH0 NG Z +INNIS IH1 N - IH0 S +INNISS IH1 N - IH0 S +INNKEEPER IH1 N - K IY2 - P ER0 +INNKEEPERS IH1 N - K IY2 - P ER0 Z +INNO IH1 - N OW0 +INNOCENCE IH1 - N AH0 - S AH0 N S +INNOCENT IH1 - N AH0 - S AH0 N T +INNOCENTI IH0 N - OW0 - CH EH1 N - T IY0 +INNOCENTLY IH1 - N AH0 - S AH0 N T - L IY0 +INNOCENTS IH1 - N AH0 - S AH0 N T S +INNOCUOUS IH0 N - AA1 - K Y UW0 - AH0 S +INNOMINATE IH0 N - AA1 - M AH0 - N AH0 T +INNOPAC IH1 N - AH0 - P AE2 K +INNOVATE IH1 - N AH0 - V EY2 T +INNOVATE(2) IH1 - N OW0 - V EY2 T +INNOVATED IH1 - N AH0 - V EY2 - T IH0 D +INNOVATED(2) IH1 - N OW0 - V EY2 - T IH0 D +INNOVATING IH2 - N AH0 - V EY1 - T IH0 NG +INNOVATING(2) IH2 - N OW0 - V EY1 - T IH0 NG +INNOVATION IH2 - N AH0 - V EY1 - SH AH0 N +INNOVATION(2) IH2 - N OW0 - V EY1 - SH AH0 N +INNOVATIONS IH2 - N AH0 - V EY1 - SH AH0 N Z +INNOVATIONS(2) IH2 - N OW0 - V EY1 - SH AH0 N Z +INNOVATIVE IH1 - N AH0 - V EY2 - T IH0 V +INNOVATIVE(2) IH1 - N OW0 - V EY2 - T IH0 V +INNOVATOR IH1 - N AH0 - V EY2 - T ER0 +INNOVATOR(2) IH1 - N OW0 - V EY2 - T ER0 +INNOVATORS IH1 - N AH0 - V EY2 - T ER0 Z +INNOVATORS(2) IH1 - N OW0 - V EY2 - T ER0 Z +INNS IH1 N Z +INNS' IH1 N Z +INNUENDO IH0 - N Y UW0 - EH1 N - D OW0 +INNUENDOES IH0 - N Y UW0 - EH1 N - D OW0 Z +INNUENDOS IH0 - N Y UW0 - EH1 N - D OW0 Z +INNUMERABLE IH0 - N UW1 - M ER0 - AH0 - B AH0 L +INOCENCIO IH0 N - OW0 - CH EH1 N - CH IY0 - OW0 +INOCULATE IH0 N - AA1 - K Y AH0 - L EY2 T +INOCULATED IH0 N - AA1 - K Y AH0 - L EY2 - T IH0 D +INOCULATION IH0 N - AA2 - K Y AH0 - L EY1 - SH AH0 N +INOCULATIONS IH0 N - AA2 - K Y AH0 - L EY1 - SH AH0 N Z +INOFFENSIVE IH0 N - AH0 - F EH1 N - S IH0 V +INOPERABLE IH0 N - AA1 - P ER0 - AH0 - B AH0 L +INOPERATIVE IH0 N - AA1 - P ER0 - AH0 - T IH0 V +INOPPORTUNE IH0 N - AA2 - P ER0 - T UW1 N +INORDINATE IH0 N - AO1 R - D AH0 - N IH0 T +INORDINATELY IH0 N - AO1 R - D AH0 - N AH0 T - L IY0 +INORGANIC IH0 N - AO0 R - G AE1 - N IH0 K +INOUE IH0 N - OW1 - EY0 +INOUYE IH0 N - UW1 - EY0 +INPATIENT IH1 N - P EY2 - SH AH0 N T +INPATIENTS IH0 N - P EY2 - SH AH0 N T S +INPUT IH1 N - P UH2 T +INPUTS IH1 N - P UH2 T S +INQUEST IH1 N - K W EH2 S T +INQUIRE IH0 N - K W AY1 R +INQUIRED IH0 N - K W AY1 - ER0 D +INQUIRER IH0 N - K W AY1 - R ER0 +INQUIRES IH0 N - K W AY1 - ER0 Z +INQUIRIES IH0 N - K W AY1 - ER0 - IY0 Z +INQUIRIES(2) IH1 N - K W ER0 - IY0 Z +INQUIRING IH0 N - K W AY1 - ER0 - IH0 NG +INQUIRY IH0 N - K W AY1 - R IY0 +INQUIRY(2) IH0 N - K W ER0 - R IY0 +INQUISITION IH2 N - K W AH0 - Z IH1 - SH AH0 N +INQUISITIVE IH0 N - K W IH1 - Z IH0 - T IH0 V +INQUISITORS IH0 N - K W IH1 - Z AH0 - T ER0 Z +INROAD IH1 N - R OW2 D +INROADS IH1 N - R OW2 D Z +INS IH1 N Z +INS(2) AY1 - EH1 - N EH1 S +INSALACO IH0 N - S AA0 - L AA1 - K OW0 +INSANE IH0 N - S EY1 N +INSANITY IH0 N - S AE1 - N AH0 - T IY0 +INSANITY(2) IH0 N - S AE1 - N IH0 - T IY0 +INSATIABLE IH0 N - S EY1 - SH AH0 - B AH0 L +INSCHO IH1 N - SH OW0 +INSCO IY1 N - S K OW0 +INSCOE IH0 N - S K OW1 +INSCORE IH0 N - S K AO1 - R IY0 +INSCRIBED IH0 N - S K R AY1 B D +INSCRIPTION IH0 N - S K R IH1 P - SH AH0 N +INSCRIPTIONS IH0 N - S K R IH1 P - SH AH0 N Z +INSCRUTABLE IH0 N - S K R UW1 - T AH0 - B AH0 L +INSECT IH1 N - S EH2 K T +INSECT'S IH1 N - S EH2 K T S +INSECTICIDE IH0 N - S EH1 K - T AH0 - S AY2 D +INSECTICIDES IH0 N - S EH1 K - T AH0 - S AY2 D Z +INSECTIVOROUS IH0 N - S EH0 K - T IH1 - V ER0 - AH0 S +INSECTS IH1 N - S EH2 K T S +INSECURE IH1 N - S AH0 - K Y ER0 +INSECURITIES IH2 N - S AH0 - K Y UH1 - R IH0 - T IY0 Z +INSECURITY IH2 N - S IH0 - K Y UH1 - R IH0 - T IY0 +INSEL IH1 N - S AH0 L +INSEMINATE IH0 N - S EH1 - M AH0 - N EY2 T +INSEMINATION IH0 N - S EH2 - M AH0 - N EY1 - SH AH0 N +INSENSITIVE IH0 N - S EH1 N - S AH0 - T IH0 V +INSENSITIVE(2) IH0 N - S EH1 N - S IH0 - T IH0 V +INSENSITIVITY IH0 N - S EH2 N - S AH0 - T IH1 - V AH0 - T IY0 +INSEPARABLE IH0 N - S EH1 - P ER0 - AH0 - B AH0 L +INSEPARABLY IH0 N - S EH1 - P ER0 - AH0 - B L IY0 +INSERRA IH0 N - S EH1 - R AH0 +INSERT IH0 N - S ER1 T +INSERT(2) IH1 N - S ER2 T +INSERTED IH0 N - S ER1 - T AH0 D +INSERTED(2) IH0 N - S ER1 - T IH0 D +INSERTING IH0 N - S ER1 - T IH0 NG +INSERTION IH0 N - S ER1 - SH AH0 N +INSERTS IH0 N - S ER1 T S +INSERTS(2) IH1 N - S ER2 T S +INSET IH1 N - S EH2 T +INSHORE IH1 N - SH AO1 R +INSIDE IH0 N - S AY1 D +INSIDE(2) IH1 N - S AY2 D +INSIDER IH0 N - S AY1 - D ER0 +INSIDER'S IH0 N - S AY1 - D ER0 Z +INSIDERS IH0 N - S AY1 - D ER0 Z +INSIDERS' IH1 N - S AY2 - D ER0 Z +INSIDES IH0 N - S AY1 D Z +INSIDES(2) IH1 N - S AY0 D Z +INSIDIOUS IH0 N - S IH1 - D IY0 - AH0 S +INSIGHT IH1 N - S AY2 T +INSIGHTFUL IH1 N - S AY2 T - F AH0 L +INSIGHTS IH1 N - S AY2 T S +INSIGNIA IH0 N - S IH1 G - N IY0 - AH0 +INSIGNIFICANCE IH2 N - S IH0 G - N Y IH1 - F IH0 - K AH0 N S +INSIGNIFICANT IH2 N - S IH0 G - N Y IH1 - F IH0 - K AH0 N T +INSILCO IH0 N - S IH1 L - K OW0 +INSINCERE IH2 N - S IH0 N - S IH1 R +INSINUATE IH0 N - S IH1 - N Y UW0 - EY0 T +INSINUATED IH0 N - S IH1 - N Y UW0 - EY0 - T IH0 D +INSINUATES IH0 N - S IH1 - N Y UW0 - EY0 T S +INSINUATING IH0 N - S IH1 - N Y UW0 - EY0 - T IH0 NG +INSINUATION IH0 N - S IH2 - N Y UW0 - EY1 - SH AH0 N +INSINUATIONS IH0 N - S IH2 - N Y UW0 - EY1 - SH AH0 N Z +INSIST IH0 N - S IH1 S T +INSISTED IH0 N - S IH1 - S T AH0 D +INSISTED(2) IH0 N - S IH1 - S T IH0 D +INSISTENCE IH0 N - S IH1 - S T AH0 N S +INSISTENT IH0 N - S IH1 - S T AH0 N T +INSISTENTLY IH0 N - S IH1 - S T AH0 N T - L IY0 +INSISTING IH0 N - S IH1 - S T IH0 NG +INSISTS IH0 N - S IH1 S T S +INSISTS(2) IH0 N - S IH1 S S +INSISTS(3) IH0 N - S IH1 S +INSITUFORM IH0 N - S IH1 - T UW2 - F AO0 R M +INSKEEP IH1 N Z - K IY2 P +INSKIP IH1 N - S K IH0 P +INSKO IH1 N - S K OW0 +INSLAW IH1 N - S L AA0 +INSLEY IH1 N S - L IY0 +INSOFAR IH1 N - S AH0 - F AA0 R +INSOLENCE IH1 N - S AH0 - L AH0 N S +INSOLENT IH1 N - S AH0 - L AH0 N T +INSOLUBLE IH0 N - S AA1 - L Y AH0 - B AH0 L +INSOLVENCIES IH0 N - S AA1 L - V AH0 N - S IY0 Z +INSOLVENCY IH0 N - S AA1 L - V AH0 N - S IY0 +INSOLVENT IH0 N - S AA1 L - V AH0 N T +INSOMNIA IH0 N - S AA1 M - N IY0 - AH0 +INSOMNIAC IH0 N - S AA1 M - N IY0 - AE2 K +INSPECT IH0 N - S P EH1 K T +INSPECTED IH0 N - S P EH1 K - T IH0 D +INSPECTING IH0 N - S P EH1 K - T IH0 NG +INSPECTION IH0 N - S P EH1 K - SH AH0 N +INSPECTIONS IH0 N - S P EH1 K - SH AH0 N Z +INSPECTOR IH0 N - S P EH1 K - T ER0 +INSPECTOR'S IH0 N - S P EH1 K - T ER0 Z +INSPECTORATE IH0 N - S P EH1 K - T ER0 - AH0 T +INSPECTORS IH0 N - S P EH1 K - T ER0 Z +INSPECTORS' IH0 N - S P EH1 K - T ER0 Z +INSPECTS IH0 N - S P EH1 K T S +INSPEECH IH0 N - S P IY1 CH +INSPIRATION IH2 N - S P ER0 - EY1 - SH AH0 N +INSPIRATIONAL IH2 N - S P ER0 - EY1 - SH AH0 - N AH0 L +INSPIRATIONS IH2 N - S P ER0 - EY1 - SH AH0 N Z +INSPIRE IH0 N - S P AY1 R +INSPIRED IH0 N - S P AY1 - ER0 D +INSPIRES IH0 N - S P AY1 R Z +INSPIRING IH0 N - S P AY1 - R IH0 NG +INSPIRING(2) IH0 N - S P AY1 - ER0 - IH0 NG +INSTABILITIES IH2 N - S T AH0 - B IH1 - L IH0 - T IY0 Z +INSTABILITY IH2 N - S T AH0 - B IH1 - L IH0 - T IY0 +INSTALL IH0 N - S T AO1 L +INSTALLATION IH2 N - S T AH0 - L EY1 - SH AH0 N +INSTALLATIONS IH2 N - S T AH0 - L EY1 - SH AH0 N Z +INSTALLED IH0 N - S T AO1 L D +INSTALLER IH0 N - S T AO1 - L ER0 +INSTALLERS IH0 N - S T AO1 - L ER0 Z +INSTALLING IH0 N - S T AO1 - L IH0 NG +INSTALLMENT IH0 N - S T AO1 L - M AH0 N T +INSTALLMENTS IH0 N - S T AO1 L - M AH0 N T S +INSTALLS IH0 N - S T AO1 L Z +INSTANCE IH1 N - S T AH0 N S +INSTANCES IH1 N - S T AH0 N - S AH0 Z +INSTANCES(2) IH1 N - S T AH0 N - S IH0 Z +INSTANT IH1 N - S T AH0 N T +INSTANTANEOUS IH2 N - S T AH0 N - T AE1 - N IY0 - AH0 S +INSTANTANEOUSLY IH2 N - S T AH0 N - T AE1 - N IY0 - AH0 S - L IY0 +INSTANTLY IH1 N - S T AH0 N T - L IY0 +INSTEAD IH0 N - S T EH1 D +INSTIGATE IH1 N - S T AH0 - G EY2 T +INSTIGATED IH1 N - S T AH0 - G EY2 - T IH0 D +INSTIGATING IH1 N - S T AH0 - G EY2 - T IH0 NG +INSTIGATION IH2 N - S T IH0 - G EY1 - SH AH0 N +INSTIGATOR IH1 N - S T AH0 - G EY2 - T ER0 +INSTIGATORS IH1 N - S T AH0 - G EY2 - T ER0 Z +INSTILL IH0 N - S T IH1 L +INSTILLED IH0 N - S T IH1 L D +INSTILLING IH0 N - S T IH1 - L IH0 NG +INSTILLS IH0 N - S T IH1 L Z +INSTINCT IH1 N - S T IH0 NG K T +INSTINCTIVE IH0 N - S T IH1 NG K - T IH0 V +INSTINCTIVELY IH0 N - S T IH1 NG K - T IH0 V - L IY0 +INSTINCTS IH1 N - S T IH0 NG K T S +INSTINET IH1 N - S T IH0 - N EH2 T +INSTITUCIONAL IH2 N - S T IH0 - T UW2 - S IY0 - AH0 - N AE1 L +INSTITUT IH1 N - S T IH0 - T UW0 T +INSTITUTE IH1 N - S T AH0 - T UW2 T +INSTITUTE'S IH1 N - S T IH0 - T UW0 T S +INSTITUTED IH1 N - S T AH0 - T UW2 - T AH0 D +INSTITUTES IH1 N - S T AH0 - T UW2 T S +INSTITUTES' IH1 N - S T IH0 - T UW2 T S +INSTITUTING IH1 N - S T IH0 - T UW2 - T IH0 NG +INSTITUTION IH2 N - S T IH0 - T UW1 - SH AH0 N +INSTITUTION'S IH0 N - S T IH0 - T UW1 - SH AH0 N Z +INSTITUTIONAL IH2 N - S T IH0 - T UW1 - SH AH0 - N AH0 L +INSTITUTIONALIST IH2 N - S T IH0 - T UW1 - SH AH0 - N AH0 L - AH0 S T +INSTITUTIONALISTS IH2 N - S T IH0 - T UW1 - SH AH0 - N AH0 L - AH0 S T S +INSTITUTIONALISTS(2) IH2 N - S T IH0 - T UW1 - SH AH0 - N AH0 L - AH0 S S +INSTITUTIONALISTS(3) IH2 N - S T IH0 - T UW1 - SH AH0 - N AH0 L - AH0 S +INSTITUTIONALIZATION IH0 N - S T IH0 - T UW2 - SH AH0 - N AH0 L - IH0 - Z EY1 - SH AH0 N +INSTITUTIONALIZE IH2 N - S T IH0 - T UW1 - SH AH0 - N AH0 L - AY0 Z +INSTITUTIONALIZED IH2 N - S T IH0 - T UW1 - SH AH0 - N AH0 L - AY0 Z D +INSTITUTIONALIZES IH2 N - S T IH0 - T UW1 - SH AH0 - N AH0 L - AY0 - Z IH0 Z +INSTITUTIONALIZING IH2 N - S T IH0 - T UW1 - SH AH0 - N AH0 L - AY0 - Z IH0 NG +INSTITUTIONALLY IH2 N - S T IH0 - T UW1 - SH AH0 - N AH0 L - IY0 +INSTITUTIONALLY(2) IH2 N - S T IH0 - T UW1 SH - N AH0 - L IY0 +INSTITUTIONS IH2 N - S T IH0 - T UW1 - SH AH0 N Z +INSTITUTIONS' IH2 N - S T IH0 - T UW1 - SH AH0 N Z +INSTITUTO IH2 N - S T IH0 - T UW1 - T OW0 +INSTONE IH1 N - S T OW2 N +INSTRUCT IH0 N - S T R AH1 K T +INSTRUCTED IH0 N - S T R AH1 K - T AH0 D +INSTRUCTED(2) IH0 N - S T R AH1 K - T IH0 D +INSTRUCTING IH0 N - S T R AH1 K - T IH0 NG +INSTRUCTION IH0 N - S T R AH1 K - SH AH0 N +INSTRUCTIONAL IH0 N - S T R AH1 K - SH AH0 - N AH0 L +INSTRUCTIONS IH0 N - S T R AH1 K - SH AH0 N Z +INSTRUCTIVE IH0 N - S T R AH1 K - T IH0 V +INSTRUCTOR IH0 N - S T R AH1 K - T ER0 +INSTRUCTORS IH0 N - S T R AH1 K - T ER0 Z +INSTRUCTS IH0 N - S T R AH1 K T S +INSTRUMENT IH1 N - S T R AH0 - M AH0 N T +INSTRUMENT'S IH1 N - S T R AH0 - M AH0 N T S +INSTRUMENTAL IH2 N S - T R AH0 - M EH1 N - T AH0 L +INSTRUMENTAL(2) IH2 N S - T R AH0 - M EH1 - N AH0 L +INSTRUMENTALIST IH2 N S - T R AH0 - M EH1 N - T AH0 - L IH0 S T +INSTRUMENTALIST(2) IH2 N S - T R AH0 - M EH1 - N AH0 - L IH0 S T +INSTRUMENTALISTS IH2 N S - T R AH0 - M EH1 N - T AH0 - L IH0 S T S +INSTRUMENTALISTS(2) IH2 N S - T R AH0 - M EH1 N - T AH0 - L IH0 S S +INSTRUMENTALISTS(3) IH2 N S - T R AH0 - M EH1 - N AH0 - L IH0 S T S +INSTRUMENTALISTS(4) IH2 N S - T R AH0 - M EH1 - N AH0 - L IH0 S S +INSTRUMENTALISTS(5) IH2 N S - T R AH0 - M EH1 N - T AH0 - L IH0 S +INSTRUMENTALISTS(6) IH2 N S - T R AH0 - M EH1 - N AH0 - L IH0 S +INSTRUMENTALITY IH2 N S - T R AH0 - M EH0 N - T AE1 - L IH0 - T IY0 +INSTRUMENTALS IH2 N S - T R AH0 - M EH1 N - T AH0 L Z +INSTRUMENTALS(2) IH2 N S - T R AH0 - M EH1 - N AH0 L Z +INSTRUMENTATION IH2 N S - T R AH0 - M EH2 N - T EY1 - SH AH0 N +INSTRUMENTS IH1 N - S T R AH0 - M AH0 N T S +INSTRUMENTS' IH1 N - S T R AH0 - M AH0 N T S +INSUBORDINATE IH0 N - S AH0 - B AO1 R - D AH0 - N EY2 T +INSUBORDINATE(2) IH0 N - S AH0 - B AO1 R - D AH0 N - AH0 T +INSUBORDINATION IH0 N - S AH0 - B AO2 R - D AH0 - N EY1 - SH AH0 N +INSUBSTANTIAL IH0 N - S AH0 B - S T AE1 N - CH AH0 L +INSUBSTANTIAL(2) IH0 N - S AH0 B - S T AE1 N - SH AH0 L +INSUBSTANTIATE IH0 N - S AH0 B - S T AE1 N - CH IY2 - EY0 T +INSUBSTANTIATE(2) IH0 N - S AH0 B - S T AE1 N - SH IY2 - EY0 T +INSUBSTANTIATED IH0 N - S AH0 B - S T AE1 N - CH IY2 - EY0 - T AH0 D +INSUBSTANTIATED(2) IH0 N - S AH0 B - S T AE1 N - SH IY2 - EY0 - T AH0 D +INSUFFERABLE IH0 N - S AH1 - F ER0 - AH0 - B AH0 L +INSUFFICIENT IH0 N - S AH0 - F IH1 - SH AH0 N T +INSUFFICIENTLY IH2 N - S AH0 - F IH1 - SH AH0 N T - L IY0 +INSULAR IH1 N - S AH0 - L ER0 +INSULARITY IH2 N - S AH0 - L EH1 - R IH0 - T IY0 +INSULATE IH1 N - S AH0 - L EY2 T +INSULATED IH1 N - S AH0 - L EY2 - T AH0 D +INSULATED(2) IH1 N - S AH0 - L EY2 - T IH0 D +INSULATING IH1 N - S AH0 - L EY2 - T IH0 NG +INSULATION IH2 N - S AH0 - L EY1 - SH AH0 N +INSULATOR IH1 N - S AH0 - L EY2 - T ER0 +INSULATORS IH1 N - S AH0 - L EY2 - T ER0 Z +INSULIN IH1 N - S AH0 - L AH0 N +INSULT IH0 N - S AH1 L T +INSULT(2) IH1 N - S AH2 L T +INSULTED IH0 N - S AH1 L - T IH0 D +INSULTING IH0 N - S AH1 L - T IH0 NG +INSULTS IH0 N - S AH1 L T S +INSULTS(2) IH1 N - S AH2 L T S +INSUPPORTABLE IH0 N - S AH0 - P AO1 R - T AH0 - B AH0 L +INSURANCE IH0 N - SH UH1 - R AH0 N S +INSURANCE'S IH0 N - SH UH1 - R AH0 N - S IH0 Z +INSURANCES IH0 N - SH UH1 - R AH0 N - S IH0 Z +INSURE IH0 N - SH UH1 R +INSURED IH0 N - SH UH1 R D +INSURER IH0 N - SH UH1 - R ER0 +INSURER'S IH0 N - SH UH1 - R ER0 Z +INSURERS IH0 N - SH UH1 - R ER0 Z +INSURERS' IH0 N - SH UH1 - 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D UW1 - S IH0 Z +INTRODUCING IH2 N - T R AH0 - D UW1 - S IH0 NG +INTRODUCING(2) IH2 N - T R OW0 - D UW1 - S IH0 NG +INTRODUCTION IH2 N - T R AH0 - D AH1 K - SH AH0 N +INTRODUCTION(2) IH2 N - T R OW0 - D AH1 K - SH AH0 N +INTRODUCTIONS IH2 N - T R AH0 - D AH1 K - SH AH0 N Z +INTRODUCTIONS(2) IH2 N - T R OW0 - D AH1 K - SH AH0 N Z +INTRODUCTORY IH2 N - T R AH0 - D AH1 K - T ER0 - IY0 +INTRODUCTORY(2) IH2 N - T R OW0 - D AH1 K - T ER0 - IY0 +INTRON IH1 N - T R AH0 N +INTROS IH1 N - T R OW0 Z +INTROSPECT IH1 N - T R AH0 - S P EH2 K T +INTROSPECTION IH2 N - T R AH0 - S P EH1 K - SH AH0 N +INTROSPECTION(2) IH2 N - T R OW0 - S P EH1 K - SH AH0 N +INTROSPECTIVE IH2 N - T R AH0 - S P EH1 K - T IH0 V +INTROSPECTIVE(2) IH2 N - T R OW0 - S P EH1 K - T IH0 V +INTROVERT IH1 N - T R OW0 - V ER2 T +INTROVERTED IH1 N - T R OW0 - V ER2 - T IH0 D +INTRUDE IH0 N - T R UW1 D +INTRUDED IH0 N - T R UW1 - D AH0 D +INTRUDER IH0 N - T R UW1 - D ER0 +INTRUDERS IH0 N - T R UW1 - D ER0 Z +INTRUDES IH0 N - T R UW1 D Z +INTRUDING IH0 N - T R UW1 - D IH0 NG +INTRUSION IH0 N - T R UW1 - ZH AH0 N +INTRUSIONS IH0 N - T R UW1 - ZH AH0 N Z +INTRUSIVE IH0 N - T R UW1 - S IH0 V +INTRUSIVENESS IH0 N - T R UW1 - S IH0 V - N EH0 S +INTUIT IH0 N - T UW1 - AH0 T +INTUIT'S IH0 N - T UW1 - AH0 T S +INTUITION IH2 N - T UW0 - IH1 - SH AH0 N +INTUITIVE IH0 N - T UW1 - AH0 - T IH0 V +INTUITIVELY IH0 N - T UW1 - IH0 - T IH0 V - L IY0 +INUIT IH1 - N UW0 T +INUNDATE IH1 - N AH0 N - D EY2 T +INUNDATED IH1 - N AH0 N - D EY2 - T IH0 D +INUNDATING IH1 - N AH0 N - D EY2 - T IH0 NG +INUNDATING(2) IH0 - N AH1 N - D EY2 - T IH0 NG +INUNDATION IH2 - N AH0 N - D EY1 - SH AH0 N +INUNDATIONS IH2 - N AH0 N - D EY1 - SH AH0 N Z +INURE IH0 - N Y UH1 R +INURED IH0 - N Y UH1 R D +INVACARE IH1 N - V AH0 - K EH2 R +INVADE IH0 N - V EY1 D +INVADED IH0 N - V EY1 - D AH0 D +INVADED(2) IH0 N - V EY1 - D IH0 D +INVADER IH0 N - V EY1 - D ER0 +INVADERS IH0 N - V EY1 - D ER0 Z +INVADES IH0 N - V EY1 D Z +INVADING IH0 N - V EY1 - D IH0 NG +INVALID IH1 N - V AH0 - L AH0 D +INVALID(2) IH1 N - V AH0 - L IH0 D +INVALID(3) IH0 N - V AE1 - L AH0 D +INVALIDATE IH0 N - V AE1 - L IH0 - D EY2 T +INVALIDATED IH0 N - V AE1 - L AH0 - D EY2 - T AH0 D +INVALIDATED(2) IH0 N - V AE1 - L IH0 - D EY2 - T IH0 D +INVALIDATING IH0 N - V AE1 - L AH0 - D EY2 - T IH0 NG +INVALIDATION IH0 N - V AE2 - L AH0 - D EY1 - SH AH0 N +INVALIDS IH1 N - V AH0 - L AH0 D Z +INVALUABLE IH0 N - V AE1 L - Y AH0 - B AH0 L +INVARIABLY IH0 N - V EH1 - R IY0 - AH0 - B L IY0 +INVARIANCE IH0 N - V EH1 - R IY0 - AH0 N S +INVARIANT IH0 N - V EH1 - R IY0 - AH0 N T +INVASION IH0 N - V EY1 - ZH AH0 N +INVASIONS IH0 N - V EY1 - ZH AH0 N Z +INVASIVE IH0 N - V EY1 - S IH0 V +INVECTIVE IH0 N - V EH1 K - T IH0 V +INVENT IH0 N - V EH1 N T +INVENTED IH0 N - V EH1 N - T AH0 D +INVENTED(2) IH0 N - V EH1 N - T IH0 D +INVENTING IH0 N - V EH1 N - T IH0 NG +INVENTION IH0 N - V EH1 N - SH AH0 N +INVENTIONS IH0 N - V EH1 N - SH AH0 N Z +INVENTIVE IH0 N - V EH1 N - T IH0 V +INVENTIVENESS IH0 N - V EH1 N - T IH0 V - N AH0 S +INVENTOR IH0 N - V EH1 N - T ER0 +INVENTORIED IH1 N - V AH0 N - T AO2 - R IY0 D +INVENTORIES IH2 N - V AH0 N - T AO1 - R IY0 Z +INVENTORS IH0 N - V EH1 N - T ER0 Z +INVENTORY IH2 N - V AH0 N - T AO1 - R IY0 +INVENTORY'S IH2 N - V AH0 N - T AO1 - R IY0 Z +INVENTS IH0 N - V EH1 N T S +INVERLAT IH1 N - V ER0 - L AE2 T +INVERNESS IH1 N - V ER0 - N EH2 S +INVERSE IH0 N - V ER1 S +INVERSELY IH0 N - V ER1 S - L IY0 +INVERSION IH0 N - V ER1 - ZH AH0 N +INVERT IH0 N - V ER1 T +INVERTEBRATE IH2 N - V ER1 - T AH0 - B R AH0 T +INVERTEBRATE(2) IH2 N - V ER1 - T AH0 - B R EY2 T +INVERTEBRATES IH0 N - V ER1 - T AH0 - B R AH0 T S +INVERTEBRATES(2) IH2 N - V ER1 - T AH0 - B R EY2 T S +INVERTED IH0 N - V ER1 - T IH0 D +INVESCO IH0 N - V EH1 - S K OW0 +INVESCO'S IH2 N - V EH1 - S OW0 Z +INVEST IH0 N - V EH1 S T +INVESTABLE IH0 N - V EH1 - S T AH0 - B AH0 L +INVESTCORP IH0 N - V EH1 S T - K AO0 R P +INVESTED IH0 N - V EH1 - S T AH0 D +INVESTED(2) IH0 N - V EH1 - S T IH0 D +INVESTIGATE IH0 N - V EH1 - S T AH0 - G EY2 T +INVESTIGATED IH0 N - V EH1 - S T AH0 - G EY2 - T AH0 D +INVESTIGATED(2) IH0 N - V EH1 - S T AH0 - G EY2 - T IH0 D +INVESTIGATES IH0 N - V EH1 - S T AH0 - G EY2 T S +INVESTIGATING IH0 N - V EH1 - S T AH0 - G EY2 - T IH0 NG +INVESTIGATION IH0 N - V EH2 - S T AH0 - G EY1 - SH AH0 N +INVESTIGATIONAL IH0 N - V EH0 - S T IH0 - G EY1 - SH AH0 - N AH0 L +INVESTIGATIONS IH0 N - V EH2 - S T AH0 - G EY1 - SH AH0 N Z +INVESTIGATIVE IH0 N - V EH1 - S T AH0 - G EY2 - T IH0 V +INVESTIGATOR IH0 N - V EH1 - S T AH0 - G EY2 - T ER0 +INVESTIGATOR'S IH0 N - V EH1 - S T AH0 - G EY2 - T ER0 Z +INVESTIGATORS IH0 N - V EH1 - S T AH0 - G EY2 - T ER0 Z +INVESTIGATORS' IH0 N - V EH1 - S T AH0 - G EY2 - T ER0 Z +INVESTIGATORY IH0 N - V EH1 - S T AH0 - G AH0 - T AO2 - R IY0 +INVESTIMENTO IH0 N - V EH2 - S T IH0 - M EH1 N - T OW0 +INVESTING IH0 N - V EH1 - S T IH0 NG +INVESTISSEMENTS IH2 N - V EH2 - S T IY1 - Z IH0 - M AA0 N T S +INVESTITURE IH0 N - V EH1 - S T AH0 - CH ER0 +INVESTMENT IH0 N - V EH1 S T - M AH0 N T +INVESTMENT'S IH0 N - V EH1 S T - M AH0 N T S +INVESTMENT'S(2) IH0 N - V EH1 S - M AH0 N T S +INVESTMENT(2) IH0 N - V EH1 S - M AH0 N T +INVESTMENTS IH0 N - V EH1 S T - M AH0 N T S +INVESTMENTS' IH0 N - V EH1 S T - M AH0 N T S +INVESTMENTS'(2) IH0 N - V EH1 S - M AH0 N T S +INVESTMENTS(2) IH0 N - V EH1 S - M AH0 N T S +INVESTNET IH0 N - V EH1 S T - N EH2 T +INVESTOR IH0 N - V EH1 - S T ER0 +INVESTOR'S IH0 N - V EH1 - S T ER0 Z +INVESTORS IH0 N - V EH1 - S T ER0 Z +INVESTORS' IH0 N - V EH1 - S T ER0 Z +INVESTS IH0 N - V EH1 S T S +INVESTS(2) IH0 N - V EH1 S S +INVESTS(3) IH0 N - V EH1 S +INVETERATE IH0 N - V EH1 - T ER0 - AH0 T +INVIDIOUS IH0 N - V IH1 - D IY0 - AH0 S +INVIGORATE IH0 N - V IH1 - G ER0 - IH0 T +INVIGORATED IH0 N - V IH1 - G ER0 - EY2 - T IH0 D +INVIGORATING IH0 N - V IH1 - G ER0 - EY2 - T IH0 NG +INVINCIBILITY IH0 N - V IH2 N - S AH0 - B IH1 - L IH0 - T IY0 +INVINCIBLE IH0 N - V IH1 N - S AH0 - B AH0 L +INVIOLABLE IH0 N - V AY1 - AH0 - L AH0 - B AH0 L +INVIOLATE IH0 N - V AY1 - AH0 - L IH0 T +INVIRASE IH2 N - V AY1 - R EY2 Z +INVISIBILITY IH0 N - V IH2 - Z AH0 - B IH1 - L AH0 - T IY0 +INVISIBLE IH0 N - V IH1 - Z AH0 - B AH0 L +INVISIBLES IH2 N - V IH1 - Z AH0 - B AH0 L Z +INVITATION IH2 N - V IH0 - T EY1 - SH AH0 N +INVITATIONAL IH2 N - V AH0 - T EY1 - SH AH0 - N AH0 L +INVITATIONS IH2 N - V IH0 - T EY1 - SH AH0 N Z +INVITE IH0 N - V AY1 T +INVITED IH0 N - V AY1 - T AH0 D +INVITED(2) IH0 N - V AY1 - T IH0 D +INVITES IH0 N - V AY1 T S +INVITING IH0 N - V AY1 - T IH0 NG +INVITRON IH1 N - V IH0 - T R AA0 N +INVITRON'S IH1 N - V IH0 - T R AA0 N Z +INVOCATION IH2 N - V AH0 - K EY1 - SH AH0 N +INVOICE IH1 N - V OY0 S +INVOICES IH1 N - V OY0 - S IH0 Z +INVOICING IH1 N - V OY2 - S IH0 NG +INVOKE IH0 N - V OW1 K +INVOKED IH0 N - V OW1 K T +INVOKES IH0 N - V OW1 K S +INVOKING IH0 N - V OW1 - K IH0 NG +INVOLUNTARILY IH2 N - V OW0 - L AH1 N - T ER0 - IH2 - L IY0 +INVOLUNTARILY(2) IH2 N - V AA2 - L AH0 N - T ER1 - AH0 - L IY0 +INVOLUNTARY IH0 N - V AA1 - L AH0 N - T EH2 - R IY0 +INVOLVE IH0 N - V AA1 L V +INVOLVED IH0 N - V AA1 L V D +INVOLVEMENT IH0 N - V AA1 L V - M AH0 N T +INVOLVEMENTS IH0 N - V AA1 L V - M AH0 N T S +INVOLVES IH0 N - V AA1 L V Z +INVOLVING IH0 N - V AA1 L - V IH0 NG +INVULNERABILITY IH0 N - V AH2 L - N ER0 - AH0 - B IH1 - L IH0 - T IY0 +INVULNERABLE IH0 N - V AH1 L - N ER0 - AH0 - B AH0 L +INWARD IH1 N - W ER0 D +INWARDLY IH1 N - W ER0 D - L IY0 +INWOOD IH1 N - W UH2 D +INY IH1 - N IY0 +INZER IH1 N - Z ER0 +IO AY1 - OW0 +IODICE AY1 - AH0 - D AY2 S +IODICE(2) AY2 - AH0 - D IY1 - S EY0 +IODIDE AY1 - AH0 - D AY2 D +IODIDE'S AY1 - AH0 - D AY2 D Z +IODIDES AY1 - AH0 - D AY2 D Z +IODINE AY1 - AH0 - D AY2 N +IOLA AY0 - OW1 - L AH0 +IOLANDE IY0 - OW0 - L AA1 N - D IY0 +IOLE IY0 - OW1 - L IY0 +IOMEGA AY2 - OW0 - M EY1 - G AH0 +ION AY1 - AH0 N +ION(2) AY1 - AA2 N +IONA AY0 - OW1 - N AH0 +IONE AY0 - OW1 - N IY0 +IONIC AY0 - AA1 - N IH0 K +IONICS AY0 - AA1 - N IH0 K S +IONICS'S AY0 - AA1 - N IH0 K - S IH0 Z +IONIZATION AY2 - AH0 - N AH0 - Z EY1 - SH AH0 N +IONIZE AY1 - AH0 - N AY2 Z +IONIZER AY1 - AH0 - N AY2 - Z ER0 +IONIZERS AY1 - AH0 - N AY2 - Z ER0 Z +IONIZING AY1 - AH0 - N AY2 - Z IH0 NG +IONOSPHERE AY0 Y - AA1 - N AH0 S - F IY0 R +IONOSPHERE(2) AY0 - AA1 - N AH0 S - F IY0 R +IONOSPHERIC AY0 - AA2 - N AH0 S - F EH1 - R IH0 K +IONS AY1 - AH0 N Z +IONS(2) AY1 - AA2 N Z +IORIO IY0 - AO1 - R IY0 - OW0 +IOS IY1 - OW0 S +IOS(2) AY1 - OW0 S +IOSIF AY1 - AH0 - S IH0 F +IOSIF(2) Y EH1 - S AH0 F +IOSUE AY0 - OW1 - S UW0 +IOTA AY0 - OW1 - T AH0 +IOTT AY1 - AH0 T +IOU AY2 - OW2 - Y UW1 +IOVINE IY0 - OW0 - V IY1 - N IY0 +IOVINO IY0 - OW0 - V IY1 - N OW0 +IOWA AY1 - AH0 - W AH0 +IOWA'S AY1 - AH0 - W AH0 Z +IOWA'S(2) AY1 - OW0 - AH0 Z +IOWA(2) AY1 - OW0 - AH0 +IOWAN AY1 - AH0 - W AH0 N +IOWAN(2) AY1 - OW0 - AH0 N +IOWANS AY1 - AH0 - W AH0 N Z +IOWANS(2) AY1 - OW0 - AH0 N Z +IP IH1 P +IP(2) AY1 - P IY1 +IPALCO IY0 - P AE1 L - K OW0 +IPALCO'S IY0 - P AE1 L - K OW0 Z +IPCO IH1 P - K OW0 +IPOCK IH1 - P AH0 K +IPPOLITO IH2 - P OW0 - L IY1 - T OW0 +IPSCO IH1 P - S K OW0 +IPSEN IH1 P - S AH0 N +IPTAY IH1 P - T EY0 +IQBAL IH1 K - B AH0 L +IRA AY1 - R AH0 +IRA'S AY1 - R AH0 Z +IRA'S(2) AY1 - AA1 - R EY1 Z +IRA(2) AY1 - AA1 - R EY1 +IRAN IH0 - R AA1 N +IRAN'S IH0 - R AE1 N Z +IRAN'S(2) AY2 - R AE1 N Z +IRAN(2) AY2 - R AE1 N +IRANAMOK AY2 - R AH0 - N AA1 - M AA0 K +IRANGATE IH0 - R AA1 N - G EY2 T +IRANI IH0 - R AA1 - N IY0 +IRANIAN IH0 - R AA1 - N IY0 - AH0 N +IRANIAN(2) AY0 - R EY1 - N IY0 - AH0 N +IRANIANS AY0 - R EY1 - N IY0 - AH0 N Z +IRANIANS' AY0 - R EY1 - N IY0 - AH0 N Z +IRANIANS(2) IH0 - R AA1 - N IY0 - AH0 N Z +IRANSCAM AY0 - R AE1 N - S K AE0 M +IRAQ IH0 - R AA1 K +IRAQ'S IH0 - R AA1 K S +IRAQ'S(2) IY2 - R AA1 K S +IRAQ'S(3) AY2 - R AA1 K S +IRAQ(2) IY2 - R AA1 K +IRAQ(3) AY2 - R AA1 K +IRAQGATE IH0 - R AA1 K - G EY2 T +IRAQGATE(2) IY2 - R AA1 K - G EY2 T +IRAQGATE(3) AY2 - R AA1 K - G EY2 T +IRAQI IH0 - R AE1 - K IY0 +IRAQI'S IH0 - R AE1 - K IY0 Z +IRAQI'S(2) IY2 - R AE1 - K IY0 Z +IRAQI'S(3) AY2 - R AE1 - K IY0 Z +IRAQI(2) IY2 - R AE1 - K IY0 +IRAQI(3) AY2 - R AE1 - K IY0 +IRAQIS IH0 - R AE1 - K IY0 Z +IRAQIS(2) IY2 - R AE1 - K IY0 Z +IRAQIS(3) AY2 - R AE1 - K IY0 Z +IRAS AY1 - R AH0 Z +IRAS(2) AY1 - AA1 - R EY1 Z +IRASCIBLE IH0 - R AE1 - S IH0 - B AH0 L +IRATE AY0 - R EY1 T +IRBINNA ER0 - B IH1 - N AH0 +IRBY ER1 - B IY0 +IRE AY1 R +IREENE AY0 - R IY1 N +IRELAN IH0 - R EY0 - L AA1 N +IRELAND AY1 - ER0 - L AH0 N D +IRELAND'S AY1 R - L AH0 N D Z +IRELAND(2) AY1 R - L AH0 N D +IRELL AY0 - R EH1 L +IRENA IH0 - R EY1 - N AH0 +IRENE AY0 - R IY1 N +IRENE'S AY2 - R IY1 N Z +IRESON IH1 - R IH0 - S AH0 N +IRESON(2) AY1 - ER0 - S AH0 N +IRETA IH0 - R EY1 - T AH0 +IRETON IH1 - R IH0 - T AA0 N +IRETON(2) AY1 - ER0 - T AH0 N +IRETTA IH0 - R EH1 - T AH0 +IRETTE IH0 - R EH1 T +IREY AY1 - R IY0 +IRIAN AY1 - R IY0 - AH0 N +IRIANESE AY0 - R IY1 - AH0 - N IY2 S +IRICK IH1 - R IH0 K +IRIDESCENT IH2 - R AH0 - D EH1 - S AH0 N T +IRIDIUM IH0 - R IH1 - D IY0 - AH0 M +IRIMAJIRI AY0 - R IY2 - M AH0 - JH IH1 - R IY0 +IRINA IH0 - R IY1 - N AH0 +IRIS AY1 - R AH0 S +IRIS(2) AY1 - R IH0 S +IRISES AY1 - R AH0 - S IH0 Z +IRISH AY1 - R IH0 SH +IRISHMAN AY1 - R IH0 SH - M AH0 N +IRIT IH1 - R IH0 T +IRIT(2) AY1 - AA1 - R AY1 - T IY1 +IRIZARRY IH1 - R IH0 - Z AE0 - R IY0 +IRK ER1 K +IRKED ER1 K T +IRKS ER1 K S +IRKSOME ER1 K - S AH0 M +IRKUTSK ER0 - K UH1 T S K +IRKUTSK(2) IH0 R - K UH1 T S K +IRLBECK ER1 L - B EH0 K +IRMA ER1 - M AH0 +IRMA'S ER1 - M AH0 Z +IRON AY1 - ER0 N +IRONCLAD AY1 - ER0 N - K L AE2 D +IRONED AY1 - ER0 N D +IRONIC AY0 - R AA1 - N IH0 K +IRONICAL AY0 - R AA1 - N IH0 - K AH0 L +IRONICALLY AY0 - R AA1 - N IH0 K - L IY0 +IRONIES AY1 - R AH0 - N IY0 Z +IRONING AY1 - ER0 - N IH0 NG +IRONING(2) AY1 R - N IH0 NG +IRONIZE AY1 - ER0 - N AY2 Z +IRONIZED AY1 - ER0 - N AY2 Z D +IRONIZER AY1 - ER0 - N AY2 - Z ER0 +IRONIZES AY1 - ER0 - N AY2 - Z IH0 Z +IRONIZING AY1 - ER0 - N AY2 - Z IH0 NG +IRONS AY1 - ER0 N Z +IRONSIDE AY1 - ER0 N - S AY2 D +IRONSIDES AY1 - ER0 N - S AY2 D Z +IRONTON AY1 R N - T AH0 N +IRONWOOD AY1 - ER0 N - W UH2 D +IRONWOOD'S AY1 - ER0 N - W UH2 D Z +IRONY AY1 - R AH0 - N IY0 +IROQUOIS IH1 - R AH0 - K W OY2 +IRRADIATE IH0 - R EY1 - D IY0 - EY2 T +IRRADIATED IH0 - R EY1 - D IY0 - EY2 - T IH0 D +IRRADIATION IH0 - R EY2 - D IY0 - EY1 - SH AH0 N +IRRATIONAL IH0 - R AE1 - SH AH0 - N AH0 L +IRRATIONALITY IH0 - R AE2 - SH AH0 - N AE1 - L AH0 - T IY0 +IRRATIONALLY IH0 - R AE1 - SH AH0 N - AH0 - L IY0 +IRRATIONALLY(2) IH0 - R AE1 SH - N AH0 - L IY0 +IRRECONCILABLE IH0 - R EH1 - K AH0 N - S AY2 - L AH0 - B AH0 L +IRREDENTISM IH2 - R AH0 - D EH1 N - T IH0 - Z AH0 M +IRREFUTABLE IH0 - R AH0 - F Y UW1 - T AH0 - B AH0 L +IRREGARDLESS IH0 - R AH0 - G AA1 D - L AH0 S +IRREGULAR IH0 - R EH1 - G Y AH0 - L ER0 +IRREGULARITIES IH0 - R EH0 - G Y AH0 - L EH1 - R AH0 - T IY0 Z +IRREGULARITY IH0 - R EH2 - G Y AH0 - L EH1 - R AH0 - T IY0 +IRREGULARLY IH0 - R EH1 - G Y AH0 - L ER0 - L IY0 +IRREGULARS IH0 - R EH1 - G Y AH0 - L ER0 Z +IRRELEVANCE IH0 - R EH1 - L AH0 - V AH0 N S +IRRELEVANCY IH0 - R EH1 - L AH0 - V AH0 N - S IY0 +IRRELEVANT IH0 - R EH1 - L AH0 - V AH0 N T +IRREMEDIABLE IH2 - R IH0 - M IY1 - D IY0 - AH0 - B AH0 L +IRREPARABLE IH0 - R EH1 - P ER0 - AH0 - B AH0 L +IRREPARABLY IH0 - R EH1 - P ER0 - AH0 - B L IY0 +IRREPLACEABLE IH0 - R AH0 - P L EY1 - S AH0 - B AH0 L +IRREPRESSIBLE IH0 - R AH0 - P R EH1 - S AH0 - B AH0 L +IRRESISTIBLE IH2 - R IH0 - Z IH1 - S T AH0 - B AH0 L +IRRESISTIBLY IH2 - R IH0 - Z IH1 - S T AH0 - B L IY0 +IRRESPECTIVE IH0 - R AH0 - S P EH1 K - T IH0 V +IRRESPONSIBILITY IH0 - R AH0 - S P AA2 N - S AH0 - B IH1 - L AH0 - T IY0 +IRRESPONSIBLE IH0 - R AH0 - S P AA1 N - S AH0 - B AH0 L +IRRESPONSIBLY IH0 - R AH0 - S P AA1 N - S AH0 - B L IY0 +IRRETRIEVABLY IH0 - R AH0 - T R IY1 - V AH0 - B L IY0 +IRREVERENCE IH0 - R EH1 - V ER0 - AH0 N S +IRREVERENT IH0 - R EH1 - V ER0 - AH0 N T +IRREVERSIBLE IH2 - R IH0 - V ER1 - S AH0 - B AH0 L +IRREVERSIBLY IH2 - R IH0 - V ER1 - S AH0 - B L IY0 +IRREVOCABLE IH0 - R EH1 - V AH0 - K AH0 - B AH0 L +IRREVOCABLY IH0 - R EH1 - V AH0 - K AH0 - B L IY0 +IRREVOCABLY(2) IH0 - R EH2 - V OW1 - K AH0 - B L IY0 +IRRIGATE IH1 - R AH0 - G EY2 T +IRRIGATED IH1 - R AH0 - G EY2 - T IH0 D +IRRIGATION IH2 - R AH0 - G EY1 - SH AH0 N +IRRIGATOR IH1 - R AH0 - G EY2 - T ER0 +IRRIGATORS IH1 - R AH0 - G EY2 - T ER0 Z +IRRITABILITY IH0 - R IH0 - T AH0 - B IH1 - L AH0 - T IY0 +IRRITABLE IH1 - R AH0 - T AH0 - B AH0 L +IRRITANT IH1 - R AH0 - T AH0 N T +IRRITANTS IH1 - R AH0 - T AH0 N T S +IRRITATE IH1 - R IH0 - T EY2 T +IRRITATED IH1 - R AH0 - T EY2 - T AH0 D +IRRITATES IH1 - R IH0 - T EY2 T S +IRRITATING IH1 - R AH0 - T EY2 - T IH0 NG +IRRITATION IH2 - R IH0 - T EY1 - SH AH0 N +IRRITATIONS IH2 - R IH0 - T EY1 - SH AH0 N Z +IRV ER1 V +IRVE ER1 V +IRVE(2) AY1 - AA1 R - V IY1 - IY1 +IRVETTE ER0 - V EH1 T +IRVIN ER1 - V IH0 N +IRVINE ER1 - V AY0 N +IRVING ER1 - V IH0 NG +IRVING'S ER1 - V IH0 NG Z +IRWIN ER1 - W AH0 N +IRWIN(2) ER1 - W IH0 N +IRWINDALE ER1 - W IH0 N - D EY2 L +IS IH1 Z +IS(2) IH0 Z +ISA IY1 - S AH0 +ISAAC AY1 - Z AH0 K +ISAAC(2) AY1 - Z IH0 K +ISAACKS IH1 - S AA0 K S +ISAACS AY1 - Z IH0 K S +ISAACSON AY1 - Z IH0 K - S AH0 N +ISAAK IH0 - S AA1 K +ISAAK(2) AY1 - Z AE0 K +ISABEL IH1 - Z AH0 - B EH2 L +ISABELL IH0 - S AA0 - B EH1 L +ISABELLA IH2 - Z AH0 - B EH1 - L AH0 +ISABELLE IH1 - Z AH0 - B EH2 L +ISACKSON IH1 - S AH0 K - S AH0 N +ISADORE IH0 - S AA0 - D AO1 - R EY0 +ISADORE(2) IH1 - S AA0 - D AO0 R +ISAIAH AY2 - Z EY1 - AH0 +ISAKSEN IH1 - S AH0 K - S AH0 N +ISAKSON IH1 - S AH0 K - S AH0 N +ISALY AY1 Z - L IY0 +ISALY(2) AY1 S - L IY0 +ISAUTIER AY0 - S AO1 - T Y ER0 +ISAY AY1 - S EY2 +ISBELL IH1 S - B EH0 L +ISBILL IH0 S - B IH1 L +ISCARIOT IH0 - S K EH1 - R IY0 - AH0 T +ISCH IH1 SH +ISCHEMIA IH0 - S K EH1 - M IY0 - AH0 +ISCHO IY1 - SH OW0 +ISE AY1 Z +ISELIN IH1 - S IH0 - L IH0 N +ISEMAN AY1 S - M AH0 N +ISEMINGER IH1 - S IY0 - M IH0 - NG ER0 +ISENBERG AY1 - Z AH0 N - B ER0 G +ISENHART AY1 - Z AH0 N - HH AA2 R T +ISENHOUR IH1 - S IH0 - N AW0 R +ISENHOWER IH1 - S IH0 N - HH OW0 - ER0 +ISENSEE AY1 - Z AH0 N - S IY2 +ISER AY1 - Z ER0 +ISETAN IH1 - S IH0 - T AH0 N +ISGRIGG IH0 S - G R IH1 G +ISGRO IY1 S - G R OW0 +ISGUR IH1 S - G ER0 +ISH IH1 SH +ISHAM IH1 - SH AH0 M +ISHAQ IH1 - SH AE0 K +ISHEE IH1 - SH IY0 +ISHERWOOD IH1 - SH ER0 - W UH2 D +ISHI IH1 - SH IY0 +ISHI'S IH1 - SH IY0 Z +ISHIBASHI IH0 - SH IY0 - B AA1 - SH IY0 +ISHIDA IH0 - SH IY1 - D AH0 +ISHIHARA IH0 - SH IY0 - HH AA1 - R AH0 +ISHII IH0 - SH IY1 - IY0 +ISHIKAWA IH0 - SH IY0 - K AA1 - W AH0 +ISHIKAWAJIMA IY2 - SH IH0 - K AA2 - W AH0 - JH IY1 - M AH0 +ISHIKURA IH2 - SH IH0 - K UH1 - R AH0 +ISHIMURA IY2 - SH IH0 - M UW1 - R AH0 +ISHLER IH1 SH - L ER0 +ISHMAEL IH1 SH - M IY0 L +ISHMAEL(2) IH1 SH - M EY0 L +ISHMAIL IH1 SH - M EY0 L +ISHMAN IH1 SH - M AH0 N +ISHTAR IH1 SH - T AA0 R +ISIDORE IH1 - Z IH0 - D AO2 R +ISIKOFF IH1 - Z AH0 K - AO0 F +ISIS AY1 - S AH0 S +ISKRA IH1 - S K R AH0 +ISLAM IH0 - S L AA1 M +ISLAM'S IH0 - S L AA1 M Z +ISLAM'S(2) IH1 - S L AA2 M Z +ISLAM(2) IH1 Z - L AH0 M +ISLAM(3) IH1 - S L AA2 M +ISLAMABAD IH0 - S L AE1 - M AH0 - B AE0 D +ISLAMABAD'S IH0 - S L AE1 - M AH0 - B AE0 D Z +ISLAMI IH0 Z - L AA1 - M IY0 +ISLAMIC IH0 Z - L AA1 - M IH0 K +ISLAMIST IH1 S - L AH0 - M IH0 S T +ISLAMISTS IH1 S - L AH0 - M IH0 S T S +ISLAMISTS(2) IH1 - S L AH0 - M IH0 S S +ISLAMISTS(3) IH1 - S L AH0 - M IH0 S +ISLAMIYA IH0 - S L AA1 - M IY0 - AH0 +ISLAMIZATION IH2 Z - L AA0 - M AH0 - Z EY1 - SH AH0 N +ISLAND AY1 - L AH0 N D +ISLAND'S AY1 - L AH0 N D Z +ISLANDER AY1 - L AH0 N - D ER0 +ISLANDERS AY1 - L AH0 N - D ER0 Z +ISLANDIA AY2 - L AE1 N - D IY0 - AH0 +ISLANDS AY1 - L AH0 N D Z +ISLANDS' AY1 S - L AH0 N D Z +ISLAS AY1 - L AH0 Z +ISLE AY1 L +ISLEEN AY1 - L IY0 N +ISLER AY1 - L ER0 +ISLES AY1 L Z +ISLETS AY1 - L AH0 T S +ISLEY AY1 - L IY0 +ISLIP AY1 S - L IH0 P +ISM IH1 - Z AH0 M +ISMAEL IH1 S - M EY0 L +ISMAIL IH1 S - M EY0 L +ISMS IH1 - Z AH0 M Z +ISN'T IH1 - Z AH0 N T +ISN'T(2) IH0 - Z AH0 N T +ISN'T(3) IH1 - Z AH0 N +ISNER IH1 S - N ER0 +ISOCYANATE AY2 - S AH0 - S AY1 - AH0 - N EY2 T +ISODA IY2 - S OW1 - D AH0 +ISOELECTRONIC AY2 - S OW0 - IH0 - L EH0 K - T R AA1 - N IH0 K +ISOELECTRONIC(2) AY2 - S OW0 - IY0 - L EH0 K - T R AA1 - N IH0 K +ISOETEC AY1 - S OW0 - T EH2 K +ISOLA AY0 - S AA1 - L AH0 +ISOLATE AY1 - S AH0 - L EY2 T +ISOLATED AY1 - S AH0 - L EY2 - T AH0 D +ISOLATED(2) AY1 - S AH0 - L EY2 - T IH0 D +ISOLATES AY1 - S AH0 - L EY2 T S +ISOLATING AY1 - S AH0 - L EY2 - T IH0 NG +ISOLATION AY2 - S AH0 - L EY1 - SH AH0 N +ISOLATIONISM AY2 - S AH0 - L EY1 - SH AH0 N - IH2 - Z AH0 M +ISOLATIONIST AY2 - S AH0 - L EY1 - SH AH0 N - AH0 S T +ISOLATIONISTS AY2 - S AH0 - L EY1 - SH AH0 N - IH0 S T S +ISOLATIONISTS(2) AY2 - S AH0 - L EY1 - SH AH0 N - IH0 S T S +ISOLATIONISTS(3) AY2 - S AH0 - L EY1 - SH AH0 N - IH0 S S +ISOLATIONISTS(4) AY2 - S AH0 - L EY1 - SH AH0 N - IH0 S S +ISOLDE IH0 - S OW1 L - D AH0 +ISOLDE(2) IH1 - S OW0 L D +ISOM AY1 - S AH0 M +ISOMEDIX AY2 - S OW0 - M EH1 - D IH0 K S +ISOMEDIX'S AY2 - S OW0 - M EH1 - D IH0 K - S IH0 Z +ISOMEDIX'S(2) AY2 - S OW0 - M EH1 - D IH0 K S +ISOMER AY1 - S AH0 - M ER0 +ISOMERS AY1 - S AH0 - M ER0 Z +ISOMORPHISM AY2 - S AH0 - M AO1 R - F IH0 - Z AH0 M +ISON IH1 - S AH0 N +ISOPRINOSINE IH2 - S AH0 - P R IH1 - N AH0 - S IY2 N +ISOSCELES AY0 - S AO1 - S AH0 - L IY2 Z +ISOTHERMAL AY2 - S AH0 - TH ER1 - M AH0 L +ISOTONER IH1 - Z OW0 - T AH2 N - ER0 +ISOTONER(2) AY1 - S OW0 - T OW2 - N ER0 +ISOTONIC AY2 - S AH0 - T AA1 - N IH0 K +ISOTOPE AY1 - S AH0 - T OW2 P +ISOTOPES AY1 - S AH0 - T OW2 P S +ISOTOPIC AY2 - S AH0 - T AA1 - P IH0 K +ISOXICAM IH0 - S AA1 K - S IH0 - K AH0 M +ISPRA IH1 S - P R AH0 +ISRAEL IH1 Z - R IY0 - AH0 L +ISRAEL'S IH1 Z - R EY0 L Z +ISRAEL'S(2) IH1 Z - R IY0 - AH0 L Z +ISRAEL(2) IH1 Z - R EY0 L +ISRAELI IH0 Z - R EY1 - L IY0 +ISRAELIS IH0 Z - R EY1 - L IY0 Z +ISRAELIS' IH0 Z - R EY1 - L IY0 Z +ISRAELITE IH1 Z - R AH0 - L AY2 T +ISRAELITES IH1 Z - R AH0 - L AY2 T S +ISRAELOFF IH0 S - R EY1 L - AO0 F +ISRAELSON IH1 - S R EH0 L - S AH0 N +ISRAHI IH2 Z - R AA1 - HH IY0 +ISRINGHOUSER IH1 - S R IH0 NG - HH AW2 - Z ER0 +ISSA IH1 - S AH0 +ISSAC IH1 - S AH0 K +ISSAC(2) AY1 - Z IH0 K +ISSAM IH1 - S AH0 M +ISSAR IY1 - S AA2 R +ISSIE IH1 - S IY0 +ISSING IH1 - S IH0 NG +ISSUABLE IH1 - SH UW0 - AH0 - B AH0 L +ISSUANCE IH1 - SH UW0 - AH0 N S +ISSUANCES IH1 - SH UW0 - AH0 N - S IH0 Z +ISSUE IH1 - SH UW0 +ISSUE'S IH1 - SH UW0 Z +ISSUED IH1 - SH UW0 D +ISSUELESS IH1 - SH UW0 - L AH0 S +ISSUER IH1 - SH UW0 - ER0 +ISSUER'S IH1 - SH UW0 - ER0 Z +ISSUERS IH1 - SH UW0 - ER0 Z +ISSUERS' IH1 - S UW0 R Z +ISSUES IH1 - SH UW0 Z +ISSUES' IH1 - S UW0 Z +ISSUING IH1 - SH UW0 - IH0 NG +ISSY IH1 - S IY0 +ISTANBUL IH2 - S T AA0 N - B UW1 L +ISTAT IH1 - S T AE0 T +ISTEL IH1 - S T EH0 L +ISTEL'S IH1 - S T EH0 L Z +ISTHMUS IH1 S - M AH0 S +ISTITUTO IH2 - S T IH0 - T UW1 - T OW0 +ISTOOK IH1 - S T UH2 K +ISTRE IH1 - S T ER0 +ISTY IH1 - S T IY0 +ISTY(2) AY1 - EH1 - S T IY1 - W AY1 +ISU IH1 - S UW2 +ISU(2) AY1 - EH1 - S Y UW1 +ISUZU IH0 - S UW1 - Z UW0 +IT IH1 T +IT'D IH1 - T AH0 D +IT'LL IH1 - T AH0 L +IT'LL(2) IH1 T L +IT'S IH1 T S +IT'S(2) IH0 T S +IT(2) IH0 T +IT-WIT IH1 - T W IH1 T +ITA AY1 - T AH0 +ITA(2) AY1 - T IY1 - EY1 +ITALIA IY0 - T AE1 - L IY0 - AH0 +ITALIA(2) IH0 - T AE1 - L Y AH0 +ITALIAN IH0 - T AE1 - L Y AH0 N +ITALIANA IH0 - T AE2 - L IY0 - AE1 - N AH0 +ITALIANATE IH0 - T AE1 - L Y AH0 - N EY2 T +ITALIANO IH0 - T AA0 - L IY0 - AA1 - N OW0 +ITALIANS IH0 - T AE1 - L Y AH0 N Z +ITALIC AY0 - T AE1 - L IH0 K +ITALICS AY0 - T AE1 - L IH0 K S +ITALTEL IH0 - T AE1 L - T EH2 L +ITALY IH1 - T AH0 - L IY0 +ITALY'S IH1 - T AH0 - L IY0 Z +ITAMAR IY1 - T AH0 - M AA2 R +ITAMI IH0 - T AA1 - M IY0 +ITAR IY1 - T AA2 R +ITASCA AY0 - T AE1 S - K AH0 +ITCH IH1 CH +ITCHES IH1 - CH AH0 Z +ITCHES(2) IH1 - CH IH0 Z +ITCHING IH1 - CH IH0 NG +ITCHY IH1 - CH IY0 +ITEK AY1 - T EH2 K +ITEL AY1 - T EH2 L +ITEM AY1 - T AH0 M +ITEMIZE AY1 - T AH0 - M AY2 Z +ITEMIZED AY1 - T AH0 - M AY2 Z D +ITEMIZER AY1 - T AH0 - M AY2 - Z ER0 +ITEMIZERS AY1 - T AH0 - M AY2 - Z ER0 Z +ITEMIZING AY1 - T AH0 - M AY2 - Z IH0 NG +ITEMS AY1 - T AH0 M Z +ITEN AY1 - T AH0 N +ITERATIVE IH1 - T ER0 - EY2 - T IH0 V +ITHACA IH1 - TH AH0 - K AH0 +ITINERANT AY0 - T IH1 - N ER0 - AH0 N T +ITINERARIES AY0 - T IH1 - N ER0 - EH2 - R IY0 Z +ITINERARY AY0 - T IH1 - N ER0 - EH2 - R IY0 +ITKIN IH0 T - K IH1 N +ITO IY1 - T OW0 +ITO'S IY1 - T OW0 Z +ITO'S(2) IY1 - T OW2 Z +ITO(2) IY1 - T OW2 +ITOCHU IY2 - T OW1 - CH UW2 +ITOH IY1 - T OW0 +ITS IH1 T S +ITS(2) IH0 T S +ITSELF IH0 T - S EH1 L F +ITSTEE IH1 T - S T IY0 +ITSY IH1 T - S IY0 +ITSY-BITSY IH2 T - S IY0 - B IH1 T - S IY0 +ITTNER IH1 T - N ER0 +ITTY IH1 - T IY0 +ITTY-BITTY IH2 - T IY0 - B IH1 - T IY0 +ITZHAK IH1 T - S AA0 K +ITZHAK(2) IH1 T - S AE0 K +ITZHAK(3) IH1 T S - HH AE0 K +ITZKOWITZ IH1 T - S K AH0 - W IH0 T S +IULIANO IY0 - UW0 - L IY0 - AA1 - N OW0 +IULIANO(2) Y UW0 - L IY0 - AA1 - N OW0 +IVA IY1 - V AH0 +IVACO AY1 - V AH0 - K OW2 +IVAN AY1 - V AH0 N +IVANA IH0 - V AA1 - N AH0 +IVANCIC IH0 - V AE1 NG - K IH0 K +IVANE IH1 - V AH0 N +IVANHOE AY1 - V AH0 N - HH OW2 +IVANKO IY0 - V AA1 N - K OW0 +IVANNA IH0 - V AA1 - N AH0 +IVANOFF IH1 - V AH0 N - AO0 F +IVANOV IH1 - V AH0 - N AA0 V +IVANYENKO AY2 - V AH0 - N Y EH1 N - K OW0 +IVAR IH1 - V ER0 +IVATANS AY1 - V AH0 - T AH0 N Z +IVAX AY1 - V AE0 K S +IVEN AY1 - V AH0 N +IVENS AY1 - V AH0 N Z +IVER AY1 - V ER0 +IVERN AY1 - V ER0 N +IVERS AY1 - V ER0 Z +IVERSEN IH0 - V ER1 - S AH0 N +IVERSON AY1 - V ER0 - S AH0 N +IVERY AY1 - V ER0 - IY0 +IVES AY1 V Z +IVESTER AY2 - V EH1 - S T ER0 +IVEY AY1 - V IY0 +IVIE AY1 - V IY0 +IVINS IH1 - V IH0 N Z +IVO AY1 - V IY1 - OW1 +IVO(2) AY1 - V OW2 +IVOR AY1 - V ER0 +IVORIAN AY0 - V AO1 - R IY0 - AH0 N +IVORIANS AY0 - V AO1 - R IY0 - AH0 N Z +IVORY AY1 - V ER0 - IY0 +IVORY(2) AY1 - V R IY0 +IVY AY1 - V IY0 +IWAI AY0 - W AY1 +IWAKI AY0 - W AA1 - K IY0 +IWAMOTO IH0 - W AA0 - M OW1 - T OW0 +IWAN IY1 - W AA0 N +IWANICKI IH0 - V AH0 - N IH1 T S - K IY0 +IWANSKI IH0 - V AE1 N S - K IY0 +IWASAKI IY2 - W AA0 - S AA1 - K IY0 +IWATA IH0 - W AA1 - T AH0 +IWATE AY0 - W EY1 T +IWEN IH1 - W AH0 N +IWERKS AY1 - W ER2 K S +IWINSKI IH0 - V IH1 N - S K IY0 +IWO AY1 - W OW0 +IWOSAKI AY2 - W AH0 - S AA1 - K IY0 +IXION IH0 K - S AY1 - AH0 N +IYER AY1 - ER0 +IZAGUIRRE IH0 - Z AH0 G - W IH1 - R EY0 +IZAGUIRRE(2) IH1 - Z AH0 G - W AY2 R +IZANSKY IH0 - Z AE1 N S - K IY0 +IZANSKY'S IH0 - Z AE1 N - S K IY0 Z +IZARD IH1 - Z ER0 D +IZATT IY1 - Z AA0 T +IZETBEGOVIC IH2 - Z EH0 T - B EH1 - G OW0 - V IH2 CH +IZETBEGOVIC'S IH2 - Z EH0 T - B EH1 - G OW0 - V IH2 - CH IH0 Z +IZOD AY1 - Z AA0 D +IZQUIERDO IH0 Z - K W IH1 R - D OW0 +IZUMI IH0 - Z UW1 - M IY0 +IZVESTIA IH0 Z - V EH1 - S T IY0 - AH0 +IZZARD IH1 - Z ER0 D +IZZI IH1 - Z IY0 +IZZO IH1 - Z OW0 +IZZY IH1 - Z IY0 +IZZY'S IH1 - Z IY0 Z +J JH EY1 +J'S JH EY1 Z +J. JH EY1 +J.'S JH EY1 Z +JA Y AA1 +JAAN Y AA1 N +JAAN(2) JH AE1 N +JAB JH AE1 B +JABAH JH AE1 - B AH0 +JABALIYA JH AA1 - B AH0 - L IY2 - AH0 +JABAR JH AH0 - B AA1 R +JABAR'S JH AH0 - B AA1 R Z +JABBAR JH AH0 - B AA1 R +JABBED JH AE1 B D +JABBING JH AE1 - B IH0 NG +JABBOUR ZH AH0 - B UH1 R +JABER JH EY1 - B ER0 +JABLON JH AE1 - B L AH0 N +JABLONOWSKI Y AH0 - B L AH0 - N AO1 F S - K IY0 +JABLONSKI Y AH0 - B L AA1 N - S K IY0 +JABLONSKY Y AH0 - B L AA1 N - S K IY0 +JABRIL JH AH0 - B R IY1 L +JABRIL(2) JH AH0 - B R IH1 L +JABS JH AE1 B Z +JAC JH AE1 K +JACEK JH AA1 - CH EH2 K +JACHIM JH AE1 - K IH0 M +JACINDA JH AH0 - S IH1 N - D AH0 +JACINTA JH AH0 - S IH1 N - T AH0 +JACINTH JH AE1 - S IH0 N TH +JACINTHA JH AH0 - S IH1 N - TH AH0 +JACINTHE JH AE1 - S IH0 N TH +JACINTO JH AH0 - S IH1 N - T OW0 +JACK JH AE1 K +JACK'S JH AE1 K S +JACKA JH AE1 - K AH0 +JACKAL JH AE1 - K AH0 L +JACKASS JH AE1 - K AE2 S +JACKED JH AE1 K T +JACKEL JH AE1 - K AH0 L +JACKELYN JH AE1 - K IH0 - L IH0 N +JACKET JH AE1 - K AH0 T +JACKET(2) JH AE1 - K IH0 T +JACKETED JH AE1 - K AH0 - T IH0 D +JACKETS JH AE1 - K IH0 T S +JACKETT JH AE1 - K IH0 T +JACKHAMMER JH AE1 K - HH AE2 - M ER0 +JACKHAMMERS JH AE1 K - HH AE2 - M ER0 Z +JACKI JH AE1 - K IY0 +JACKI'S JH AE1 - K IY0 Z +JACKIE JH AE1 - K IY0 +JACKIE'S JH AE1 - K IY0 Z +JACKING JH AE1 - K IH0 NG +JACKLEY JH AE1 K - L IY0 +JACKLIN JH AE1 K - L IH0 N +JACKMAN JH AE1 K - M AH0 N +JACKO JH AE1 - K OW0 +JACKOBY JH AE1 - K AH0 - B IY0 +JACKOVICH JH AE1 - K AH0 - V IH0 CH +JACKOWSKI Y AH0 - S K AO1 F S - K IY0 +JACKPOT JH AE1 K - P AA2 T +JACKPOTS JH AE1 K - P AA2 T S +JACKRABBIT JH AE1 K - R AE2 - B AH0 T +JACKS JH AE1 K S +JACKSDEIT JH AE1 K - S D IY0 - AH0 T +JACKSON JH AE1 K - S AH0 N +JACKSON'S JH AE1 K - S AH0 N Z +JACKSONIAN JH AE0 K - S OW1 - N IY0 - AH0 N +JACKSONIANS JH AE0 K - S OW1 - N IY0 - AH0 N Z +JACKSONS JH AE1 K - S AH0 N Z +JACKSONVILLE JH AE1 K - S AH0 N - V IH2 L +JACKSONVILLE'S JH AE1 K - S AH0 N - V IH2 L Z +JACKY JH AE1 - K IY0 +JACKY'S JH AE1 - K IY0 Z +JACLYN JH AE1 K - L IH0 N +JACO Y AA1 - K OW0 +JACOB JH EY1 - K AH0 B +JACOB'S JH EY1 - K AH0 B Z +JACOBA Y AA0 - K OW1 - B AH0 +JACOBE JH AE1 - K AH0 B +JACOBEAN JH AE2 - K AH0 - B IY1 - AH0 N +JACOBER JH EY1 - K AH0 - B ER0 +JACOBI Y AA0 - K OW1 - B IY0 +JACOBIN JH AE1 - K AH0 - B AH0 N +JACOBIN(2) JH AE1 - K AH0 - B IH0 N +JACOBINA Y AH0 - K AH0 - B AY1 - N AH0 +JACOBINE JH AE1 - K AH0 - B AY2 N +JACOBITE JH AE1 - K AH0 - B AY2 T +JACOBITES JH AE1 - K AH0 - B AY2 T S +JACOBO Y AA0 - K OW1 - B OW0 +JACOBOSKI JH AE2 K - OW0 - B AO1 S - K IY0 +JACOBOWITZ Y AH0 - K AA1 - B AH0 - W IH0 T S +JACOBS JH EY1 - K AH0 B Z +JACOBS' JH EY1 - K AH2 B Z +JACOBS'S JH EY1 - K AH0 B - Z IH0 Z +JACOBSEN JH EY1 - K AH0 B - S AH0 N +JACOBSON JH EY1 - K AH0 B - S AH0 N +JACOBSON'S JH EY1 - K AH0 B - S AH0 N Z +JACOBUS JH AH0 - K OW1 - B AH0 S +JACOBY JH AH0 - K OW1 - B IY0 +JACOME JH AH0 - K OW1 M +JACOR JH EY1 - K AO2 R +JACOT JH AE1 - K AH0 T +JACOX JH AE1 - K AA0 K S +JACQUE ZH EY1 K +JACQUELINE JH AE1 - K W AH0 - L IH0 N +JACQUELINE(2) JH AE1 K - L IH0 N +JACQUELINE(3) JH AE1 - K AH0 - L IH0 N +JACQUELYN JH AE1 K - W IH0 - L IH0 N +JACQUES ZH AA1 K +JACQUET Y AA1 - K EY0 T +JACQUETTA JH AA0 - K EH1 - T AH0 +JACQUEZ Y AA0 - K W EH1 Z +JACQUIE JH AE1 K - W IY0 +JACQUIN JH AE1 K - W IH0 N +JACQUOT ZH AH0 - K W OW1 +JACUZZI JH AH0 - K Y UW1 - Z IY0 +JADE JH EY1 D +JADED JH EY1 - D AH0 D +JADED(2) JH EY1 - D IH0 D +JADEITE JH EY1 - D AY2 T +JADES JH EY1 D Z +JADWIN JH AE1 D - W IH0 N +JAE JH EY1 +JAE'S JH EY1 Z +JAECKEL Y EH1 - K AH0 L +JAEGER Y EH1 - G ER0 +JAEGERS Y EH1 - G ER0 Z +JAEKEL Y EH1 - K AH0 L +JAENICKE Y EH1 - N IH0 K +JAFCO JH AE1 F - K OW0 +JAFCO'S JH AE1 F - K OW0 Z +JAFFA JH AE1 - F AH0 +JAFFAR JH AH0 - F AA1 R +JAFFE JH AE1 - F IY0 +JAFFEE JH AE1 - F IY0 +JAFFNA JH AE1 F - N AH0 +JAFFRAY JH AE1 - F R EY0 +JAFFRAY'S JH AE1 - F R EY2 Z +JAFFREY JH AE1 - F R IY0 +JAGDISH JH AE1 G - D IH2 SH +JAGER JH EY1 - G ER0 +JAGGED JH AE1 G D +JAGGER JH AE1 - G ER0 +JAGGER'S JH AE1 - G ER0 Z +JAGGERS JH AE1 - 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K AH0 L +JAKES JH EY1 K S +JAKEWAY JH EY1 K - W EY2 +JAKIE JH AE1 - K IY0 +JAKOB JH AE1 - K AH0 B +JAKOBSEN JH AE1 - K AH0 B - S AH0 N +JAKUBEK Y AH0 - K UW1 - B EH0 K +JAKUBIAK Y AH0 - K AH1 - B IY0 - AE0 K +JAKUBIK Y AH0 - K UW1 - B IH0 K +JAKUBOWICZ Y AH0 - K AH1 - B AH0 - V IH0 CH +JAKUBOWSKI Y AH0 - K AH0 - B AO1 F S - K IY0 +JALALABAD JH AH0 - L AE1 - L AH0 - B AE0 D +JALAPENO HH AE2 - L AH0 - P IY1 - N Y OW0 +JALAPENO(2) JH AE2 - L AH0 - P IY1 - N OW0 +JALBERT JH AE1 L - B ER0 T +JALOPY JH AH0 - L AA1 - P IY0 +JAM JH AE1 M +JAM'S JH AE1 M Z +JAMA JH AE1 - M AH0 +JAMAICA JH AH0 - M EY1 - K AH0 +JAMAICA'S JH AH0 - M EY1 - K AH0 Z +JAMAICAN JH AH0 - M EY1 - K AH0 N +JAMAICANS JH AH0 - M EY1 - K AH0 N Z +JAMAIL JH AH0 - M EY1 L +JAMAL JH AH0 - M AA1 L +JAMAL'S JH AH0 - M AA1 L Z +JAMAR Y AA0 - M AA1 R +JAMB JH AE1 M +JAMBOR Y AA0 M - B AO1 R +JAMERSON JH AE1 - M ER0 - S AH0 N +JAMERSON'S JH AE1 - M ER0 - S AH0 N Z +JAMES JH EY1 M Z +JAMES' JH EY1 M Z +JAMES'S JH EY1 M - Z IH0 Z +JAMESON JH EY1 M - S AH0 N +JAMESTOWN JH EY1 M Z - T AW2 N +JAMESWAY JH EY1 M Z - W EY2 +JAMI JH EY1 - M IY0 +JAMIE JH EY1 - M IY0 +JAMIE'S JH EY1 - M IY0 Z +JAMIESON JH EY1 - M IH0 - S AH0 N +JAMILA JH AH0 - M IH1 - L AH0 +JAMISON JH EY1 - M IH0 - S AH0 N +JAMMED JH AE1 M D +JAMMER JH AE1 - M ER0 +JAMMERS JH AE1 - M ER0 Z +JAMMING JH AE1 - M IH0 NG +JAMMU JH AH0 - M UW1 +JAMMU'S JH AH0 - M UW1 Z +JAMROG JH AE1 M - R AH0 G +JAMROZ Y AA1 M - R OW0 Z +JAMS JH AE1 M Z +JAMSHEDPUR JH AE2 M - SH EH1 D - P ER0 +JAMU JH AE0 - M UW1 +JAN JH AE1 N +JAN'S JH AE1 N Z +JAN. JH AE1 N +JAN.(2) JH AE1 - N Y UW0 - EH0 - R IY0 +JANA JH AE1 - N AH0 +JANACEK Y AE1 - N AH0 - CH EH0 K +JANACHOWSKI JH AE2 - N AH0 - CH AW1 S - K IY0 +JANAK Y AE1 - N AH0 K +JANARDHAN JH AH0 - N AA1 R - D AH0 N +JANAS JH AE1 - N AH0 Z +JANATA JH AH0 - N AA1 - T AH0 +JANCA JH AE1 NG - K AH0 +JANCO JH AE1 NG - K OW0 +JANCZAK Y AE1 N - CH AE0 K +JANDA JH AE1 N - D AH0 +JANDREAU ZH AH0 N - D R OW1 +JANDT JH AE1 N T +JANE JH EY1 N +JANE'S JH EY1 N Z +JANEANE JH EY1 - N AE2 N +JANECEK Y AE1 - N IH0 - CH EH0 K +JANECZKO Y AH0 - N EH1 CH - K OW0 +JANEIRO JH AH0 - N EH1 - R OW2 +JANEIRO(2) ZH AH0 - N EH1 - R OW2 +JANEK Y AE1 - N EH0 K +JANEL JH AE1 - N AH0 L +JANELLA JH AH0 - N EH1 - L AH0 +JANELLE ZH AH0 - N EH1 L +JANES JH EY1 N Z +JANESVILLE JH EY1 N Z - V IH2 L +JANET JH AE1 - N AH0 T +JANET'S JH AE1 - N AH0 T S +JANET'S(2) JH AE1 - N IH0 T S +JANET(2) JH AE1 - N IH0 T +JANETTE JH AH0 - N EH1 T +JANEWAY JH EY1 N - W EY2 +JANEY JH EY1 - N IY0 +JANG JH AE1 NG +JANGLE JH AE1 NG - G AH0 L +JANGLED JH AE1 NG - G AH0 L D +JANI Y AA1 - N IY0 +JANIAK Y AE1 - N IY0 - AE0 K +JANICE JH AE1 - N AH0 S +JANICE(2) JH AE1 - N IH0 S +JANICEK Y AE1 - N IH0 - CH EH0 K +JANICK JH AE1 - N IH0 K +JANICKE JH AE1 - N IH0 K +JANICKI JH AH0 - N IH1 - K IY0 +JANIE JH EY1 - N IY0 +JANIERO JH AH0 - N EH1 - R OW0 +JANIERO(2) JH AH0 - N Y EH1 - R OW0 +JANIGA JH AE1 - N IH0 - G AH0 +JANII JH AH0 - N IY1 +JANIK Y AE1 - N IH0 K +JANIKOWSKI Y AH0 - N IH0 - K AO1 F S - K IY0 +JANINA JH AH0 - N IY1 - N AH0 +JANINE JH AH0 - N IY1 N +JANIS JH AE1 - N IH0 S +JANISCH JH AE1 - N IH0 SH +JANISH Y AE1 - N IH0 SH +JANISZEWSKI Y AH0 - N IH0 - SH EH1 F S - K IY0 +JANITOR JH AE1 - N AH0 - T ER0 +JANITORIAL JH AE2 - N IH0 - T AO1 - R IY0 - AH0 L +JANITORS JH AE1 - N AH0 - T ER0 Z +JANK JH AE1 NG K +JANKA JH AE1 NG - K AH0 +JANKE JH AE1 NG K +JANKIEWICZ Y AE1 N - K AH0 - V IH0 CH +JANKLOW JH AE1 NG - K L OW0 +JANKO JH AE1 NG - K OW0 +JANKOVIC JH AE1 NG - K AH0 - V IH0 K +JANKOVICH JH AE1 NG - K AH0 - V IH0 CH +JANKOWIAK Y AH0 NG - K AW1 - IY0 - AE0 K +JANKOWSKI Y AH0 NG - K AO1 F S - K IY0 +JANN JH AE1 N +JANNA JH AE1 - N AH0 +JANNEY JH AE1 - N IY0 +JANNING JH AE1 - N IH0 NG +JANNOCK JH AE1 - N AH0 K +JANNOTTA JH AH0 - N AA1 - T AH0 +JANOFF JH AE1 - N AO0 F +JANOFSKY JH AH0 - N AO1 F S - K IY0 +JANOS JH AE1 - N OW0 S +JANOSIK Y AH0 - N OW1 - S IH0 K +JANOSKI Y AH0 - N AW1 S - K IY0 +JANOSKO Y AH0 - N OW1 - S K OW0 +JANOSKY Y AH0 - N OW1 S - K IY0 +JANOTA Y AH0 - N OW1 - T AH0 +JANOUSEK Y AH0 - N UW1 - S EH0 K +JANOVSKY JH AH0 - N AA1 V - S K IY0 +JANOW Y AE1 - N OW0 +JANOWIAK Y AH0 - N AW1 - IY0 - AE0 K +JANOWICZ Y AE1 - N AH0 - V IH0 CH +JANOWITZ Y AE1 - N AH0 - W IH0 T S +JANOWSKI Y AH0 - N AO1 F S - K IY0 +JANS JH AE1 N Z +JANSA JH AE1 N - S AH0 +JANSEN JH AE1 N - S AH0 N +JANSENISM JH AE1 N - S IH0 - N IH2 - Z AH0 M +JANSENIST JH AE1 N - S AH0 - N AH0 S T +JANSENISTS JH AE1 N - S AH0 - N AH0 S T S +JANSENISTS(2) JH AE1 N - S AH0 - N AH0 S S +JANSENISTS(3) JH AE1 N - S AH0 - N AH0 S +JANSKY Y AE1 N S - K IY0 +JANSMA Y AE1 N S - M AH0 +JANSON JH AE1 N - S AH0 N +JANSSEN JH AE1 N - S AH0 N +JANSSENS JH AE1 N - S AH0 N Z +JANSSON JH AE1 N - S AH0 N +JANTHINA Y AA0 N - TH IY1 - N AH0 +JANTZ JH AE1 N T S +JANTZEN JH AE1 N T - Z AH0 N +JANUARY JH AE1 - N Y UW0 - EH2 - R IY0 +JANUARY'S JH AE1 - N Y UW0 - EH2 - R IY0 Z +JANUS JH EY1 - N AH0 S +JANUSZ Y AA1 - N UH0 SH +JANUSZEWSKI Y AH0 - N AH0 - SH EH1 F S - K IY0 +JANVIER JH AE1 N - V IY0 - ER0 +JANVRIN JH AE1 N - V R IH0 N +JANZ JH AE1 N Z +JANZEN JH AE1 N - Z AH0 N +JAP JH AE1 P +JAPAN JH AH0 - P AE1 N +JAPAN'S JH AH0 - P AE1 N Z +JAPANESE JH AE2 - P AH0 - N IY1 Z +JAPANS JH AH0 - P AE1 N Z +JAPONICA JH AH0 - P AA1 - N AH0 - K AH0 +JAPONICA(2) JH AH0 - P AA1 - N IH0 - K AH0 +JAPS JH AE1 P S +JAQUA Y AE1 - K W AH0 +JAQUAY ZH AH0 - K EY1 +JAQUES JH AE1 K S +JAQUESS Y AA1 - K W IH0 S +JAQUEZ Y AA0 - K W EH1 Z +JAQUISH JH AE1 K - W IH0 SH +JAQUITH JH AE1 K - W IH0 TH +JAR JH AA1 R +JARA JH AA1 - R AH0 +JARAMILLO JH AE2 - R AH0 - M IH1 - L OW0 +JARBOE JH AA1 R - B OW2 +JARCHOW JH AA1 R - 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N EH1 T +JEANNIE JH IY1 - N IY0 +JEANNIOT JH IY1 - N IY0 - AH0 T +JEANPIERRE ZH AO0 N - P IY0 - EH1 R +JEANS JH IY1 N Z +JEANSONNE JH EH1 N - S AH0 N +JEB JH EH1 B +JECH JH EH1 K +JED JH EH1 D +JEDLICKA Y IH0 D - L IH1 - S K AH0 +JEE JH IY1 +JEEP JH IY1 P +JEEP'S JH IY1 P S +JEEPNEY JH IY1 P - N IY0 +JEEPS JH IY1 P S +JEER JH IH1 R +JEERED JH IH1 R D +JEERING JH IY1 - R IH0 NG +JEERS JH IY1 R Z +JEETER JH IY1 - T ER0 +JEEZ JH IY1 Z +JEFCOAT JH EH1 F - K OW2 T +JEFF JH EH1 F +JEFF'S JH EH1 F S +JEFFCOAT JH EH1 F - K OW0 T +JEFFE JH EH1 F +JEFFE(2) JH EH1 - F IY0 +JEFFER JH EH1 - F ER0 +JEFFEREY JH EH1 - F ER0 - IY0 +JEFFERIES JH EH1 - F R IY0 Z +JEFFERIES' JH EH1 - F ER0 - IY0 Z +JEFFERIES'S JH EH1 - F R IY0 - Z IH0 Z +JEFFERIS JH EH1 - F ER0 - IH0 S +JEFFERS JH EH1 - F ER0 Z +JEFFERSON JH EH1 - F ER0 - S AH0 N +JEFFERSON'S JH EH1 - F ER0 - S AH0 N Z +JEFFERSONIAN JH EH2 - F ER0 - S OW1 - N IY0 - AH0 N +JEFFERSONIANS JH EH2 - F ER0 - S OW1 - N IY0 - AH0 N Z +JEFFERY JH EH1 - F ER0 - IY0 +JEFFERYS JH EH1 - F ER0 - IY0 Z +JEFFEY JH EH1 - F IY0 +JEFFORDS JH EH1 - F ER0 D Z +JEFFRESS JH EH1 - F R IH0 S +JEFFREY JH EH1 - F R IY0 +JEFFREY'S JH EH1 - F R IY0 Z +JEFFREYS JH EH1 - F R IY0 Z +JEFFRIES JH EH1 - F R IY0 Z +JEFFRY JH EH1 - F R IY0 +JEFFS JH EH1 F S +JEFFUS JH EH1 - F AH0 S +JEFFY JH EH1 - F IY0 +JEHLE JH EH1 - HH AH0 L +JEHOVAH JH AH0 - HH OW1 - V AH0 +JEHOVAH'S JH AH0 - HH OW1 - V AH0 Z +JEKEL JH EH1 - K AH0 L +JEKYLL JH EH1 - K AH0 L +JELEN JH EH1 - L AH0 N +JELINEK JH EH1 - L AH0 - N IH0 K +JELINEK(2) JH EH1 - L IH0 - N EH0 K +JELINSKI Y IH0 - L IH1 N - S K IY0 +JELKS JH EH1 L K S +JELL JH EH1 L +JELLEY JH EH1 - L IY0 +JELLIED JH EH1 - L IY0 D +JELLIES JH EH1 - L IY0 Z +JELLISON JH EH1 - L IH0 - S AH0 N +JELLO JH EH1 - L OW0 +JELLO'S JH EH1 - L OW0 Z +JELLY JH EH1 - L IY0 +JELLY'S JH EH1 - L IY0 Z +JELLYFISH JH EH1 - L IY0 - F IH2 SH +JELTON JH EH1 L - T AH0 N +JEM JH EH1 M +JEM'S JH EH1 M Z +JEMIE JH EH1 - M IY0 +JEMIMA JH EH0 - M IY1 - M AH0 +JEMISON JH EH1 - M IH0 - S AH0 N +JEMMIE JH EH1 - M IY0 +JEMMOTT JH EH1 - M AH0 T +JEN JH EH1 N +JENA JH IY1 - N AH0 +JENCKS JH EH1 NG K S +JENDRO JH EH1 N - D R OW0 +JENIN JH EH1 - N IH0 N +JENISON JH EH1 - N IH0 - S AH0 N +JENKENS JH EH1 NG - K AH0 N Z +JENKIN JH EH1 NG - K IH0 N +JENKINS JH EH1 NG - K AH0 N Z +JENKINS(2) JH EH1 NG - K IH0 N Z +JENKINSON JH EH1 NG - K IH0 N - S AH0 N +JENKS JH EH1 NG K S +JENN JH EH1 N +JENN'S JH EH1 N Z +JENNE JH EH1 N +JENNER JH EH1 - N ER0 +JENNESS JH EH1 - N IH0 S +JENNETT JH EH1 - N IH0 T +JENNETTE ZH IH0 - N EH1 T +JENNEWEIN JH EH1 - N UW0 - AY2 N +JENNEY JH EH1 - N IY0 +JENNI JH EH1 - N IY0 +JENNIE JH EH1 - N IY0 +JENNIFER JH EH1 - N AH0 - F ER0 +JENNIFER'S JH EH1 - N AH0 - F ER0 Z +JENNING JH EH1 - N IH0 NG +JENNINGER JH EH1 - N IH0 - NG ER0 +JENNINGS JH EH1 - N IH0 NG Z +JENNISON JH EH1 - N IH0 - S AH0 N +JENNY JH EH1 - N IY0 +JENNY'S JH EH1 - N IY0 Z +JENRETTE JH EH2 N - R EH1 T +JENRETTE'S JH EH0 N - R EH1 T S +JENS JH EH1 N Z +JENSEN JH EH1 N - S AH0 N +JENSON JH EH1 N - S AH0 N +JENSSEN JH EH1 N - S AH0 N +JENT JH EH1 N T +JENTSCH JH EH1 N CH +JENTZ JH EH1 N T S +JEONG JH EH1 NG +JEOPARDIZE JH EH1 - P ER0 - D AY2 Z +JEOPARDIZED JH EH1 - P ER0 - D AY2 Z D +JEOPARDIZES JH EH1 - P ER0 - D AY2 - Z IH0 Z +JEOPARDIZING JH EH1 - P ER0 - D AY2 - Z IH0 NG +JEOPARDY JH EH1 - P ER0 - D IY0 +JEPPESEN JH EH1 - P IY0 - Z AH0 N +JEPPSON JH EH1 P - S AH0 N +JEPSEN JH EH1 P - S AH0 N +JEPSON JH EH1 P - S AH0 N +JEPSON'S JH EH1 P - S AH0 N Z +JERABEK JH EH1 - R AH0 - B IH0 K +JERALD JH EH1 - R AH0 L D +JERBOAS JH ER0 - B OW1 - AH0 Z +JERDE JH ER1 D +JERDEN JH ER1 - D AH0 N +JERE JH EH1 - R IY0 +JEREB JH EH1 - R IH0 B +JEREISSATI JH EH0 - R EY2 - S AA1 - T IY0 +JEREL JH EH1 - R AH0 L +JERELD JH EH1 - R IH0 L D +JEREMIA Y EH0 - R IY1 - M IY0 - AH0 +JEREMIAH JH EH2 - R AH0 - M AY1 - AH0 +JEREMY JH EH1 - R AH0 - M IY0 +JEREZ Y EH0 - R EH1 Z +JERGENS JH ER1 - G AH0 N Z +JERGENSON JH ER1 - G IH0 N - S AH0 N +JERGER JH ER1 - G ER0 +JERI JH EH1 - R IY0 +JERICHO JH EH1 - R IH0 - K OW2 +JERK JH ER1 K +JERKED JH ER1 K T +JERKING JH ER1 - K IH0 NG +JERKINS JH ER1 - K IH0 N Z +JERKS JH ER1 K S +JERKY JH ER1 - K IY0 +JERMAINE JH ER0 - M EY1 N +JERMAN JH ER1 - M AH0 N +JERMYN JH ER1 - M IH0 N +JERNBERG JH ER1 N - B ER0 G +JERNIGAN JH ER1 - N IH0 - G AE0 N +JEROBOAM JH EH2 - R AH0 - B OW1 - AH0 M +JEROLD JH EH1 - R OW0 L D +JEROME JH ER0 - OW1 M +JERR JH ER1 +JERRELL Y EH0 - R EY1 L +JERRELL(2) JH EH1 - R AH0 L +JERRI JH EH1 - R IY0 +JERRICO JH EH1 - R IH0 - K OW2 +JERRIE JH EH1 - R IY0 +JERRITTS JH EH1 - R IH0 T S +JERROLD JH EH1 - R AH0 L D +JERROME Y EH0 - R OW1 - M EY0 +JERROME(2) JH AH0 - R OW1 M +JERRY JH EH1 - R IY0 +JERRY'S JH EH1 - R IY0 Z +JERSEY JH ER1 - Z IY0 +JERSEY'S JH ER1 - Z IY0 Z +JERSEYS JH ER1 - Z IY0 Z +JERSIAN JH ER1 - Z IY0 - AH0 N +JERSIANS JH ER1 - Z IY0 - AH0 N Z +JERUSALEM JH ER0 - UW1 - S AH0 - L AH0 M +JERUSALEM'S JH ER0 - UW1 - S AH0 - L AH0 M Z +JERUSHA JH EH1 - R AH0 - SH AH0 +JERVIS JH ER1 - V IH0 S +JERZAK Y ER1 - Z AH0 K +JERZY JH ER1 - Z IY0 +JESCHKE JH EH1 SH K +JESKE JH EH1 S K +JESMER JH EH1 - S AH0 - M ER0 +JESPER JH EH1 - S P ER0 +JESPERSEN JH EH1 - S P ER0 - S AH0 N +JESPERSON JH EH1 - S P ER0 - S AH0 N +JESS JH EH1 S +JESSALYNN JH EH1 - S AH0 - L IH0 N +JESSAMINE JH EH1 - S AH0 - M IH0 N +JESSAMYN JH EH1 - S AH0 - M IH0 N +JESSE JH EH1 - S IY0 +JESSE'S JH EH1 - S IY0 Z +JESSEE JH EH1 - S IY1 +JESSELSON JH EH1 - S AH0 L - S AH0 N +JESSEN JH EH1 - S AH0 N +JESSER JH EH1 - S ER0 +JESSICA JH EH1 - S IH0 - K AH0 +JESSICA'S JH EH1 - S IH0 - K AH0 Z +JESSIE JH EH1 - S IY0 +JESSON JH EH1 - S AH0 N +JESSOP JH EH1 - S AH0 P +JESSUP JH EH1 - S AH2 P +JESSY JH EH1 - S IY0 +JESSYE JH EH1 - S IY0 +JEST JH EH1 S T +JESTER JH EH1 - S T ER0 +JESTS JH EH1 S T S +JESUDASON JH EH2 - S UW1 - D AH0 - S AH0 N +JESUIT JH EH1 - ZH UW0 - IH0 T +JESUITS JH EH1 - ZH UW0 - IH0 T S +JESUP JH EH1 - S AH0 P +JESUS JH IY1 - Z AH0 S +JESUS' JH IY1 - Z AH0 S +JET JH EH1 T +JET'S JH EH1 T S +JETBORNE JH EH1 T - B AO2 R N +JETER JH IY1 - T ER0 +JETHRO JH EH1 - TH R OW0 +JETLINER JH EH1 T - L AY2 - N ER0 +JETLINER'S JH EH1 T - L AY2 - N ER0 Z +JETLINERS JH EH1 T - L AY2 - N ER0 Z +JETRO JH EH1 - T R OW0 +JETS JH EH1 T S +JETS' JH EH1 T S +JETSON JH EH1 T - S AH0 N +JETSONS JH EH1 T - S AH0 N Z +JETSTREAM JH EH1 T - S T R IY2 M +JETSTREAM'S JH EH1 T - S T R IY2 M Z +JETSTREAMS JH EH1 T - S T R IY2 M Z +JETT JH EH1 T +JETT'S JH EH1 T S +JETTA JH EH1 - T AH0 +JETTE JH EH1 T +JETTED JH EH1 - T IH0 D +JETTER JH EH1 - T ER0 +JETTING JH EH1 - T IH0 NG +JETTISON JH EH1 - T IH0 - S AH0 N +JETTISONED JH EH1 - T IH0 - S AH0 N D +JETTISONING JH EH1 - T AH0 - S AH0 N - IH0 NG +JETTON JH EH1 - T AH0 N +JETTY JH EH1 - T IY0 +JEUMONT JH UW1 - M AA2 N T +JEW JH UW1 +JEWEL JH UW1 - AH0 L +JEWEL(2) JH UW1 L +JEWELCOR JH UW1 - AH0 L - K AO0 R +JEWELER JH UW1 - AH0 - L ER0 +JEWELER(2) JH UW1 - L ER0 +JEWELERS JH UW1 - AH0 - L ER0 Z +JEWELERS(2) JH UW1 - L ER0 Z +JEWELL JH UW1 - IH0 L +JEWELLERS JH UW1 - AH0 - L ER0 Z +JEWELLERS(2) JH UW1 - L ER0 Z +JEWELMASTER JH UW1 - AH0 L - M AE2 - S T ER0 +JEWELMASTER(2) JH UW1 L - M AE2 - S T ER0 +JEWELMASTERS JH UW1 - AH0 L - M AE2 - S T ER0 Z +JEWELRY JH UW1 - AH0 L - R IY0 +JEWELRY(2) JH UW1 - L R IY0 +JEWELRY(3) JH UW1 - L ER0 - IY0 +JEWELS JH UW1 - AH0 L Z +JEWELS(2) JH UW1 L Z +JEWELSBURG JH UW1 - AH0 L Z - B ER0 G +JEWELSBURG(2) JH UW1 L Z - B ER0 G +JEWESS JH UW1 - AH0 S +JEWETT JH UW1 - IH0 T +JEWFISH JH UW1 - F IH2 SH +JEWFISHES JH UW1 - F IH2 - SH IH0 Z +JEWISH JH UW1 - IH0 SH +JEWISHNESS JH UW1 - IH0 SH - N AH0 S +JEWITT JH UW1 - IH0 T +JEWKES JH UW1 K S +JEWRY JH UW1 - R IY0 +JEWS JH UW1 Z +JEWS' JH UW1 Z +JEX JH EH1 K S +JEYARETNAM JH EY2 - ER0 - EH1 T - N AH0 M +JEZEK Y EH1 - Z EH0 K +JEZEWSKI Y IH0 - Z EH1 F S - K IY0 +JEZIERSKI Y IH0 - Z IH1 R S - K IY0 +JEZIORSKI Y IH0 - Z IY0 - AO1 R S - K IY0 +JFET JH F EH1 T +JHA JH AA1 +JHERYL JH EH1 - R AH0 L +JHIRMACK JH ER1 - M AE0 K +JI JH IY1 +JIA JH IY1 - AH0 +JIAN JH IY1 - AH0 N +JIANG JH AA1 NG +JIANG'S JH IY0 - AA1 NG Z +JIANG(2) JH IY0 - AA1 NG +JIANGSU JH Y AA1 NG - S UW0 +JIAR JH IY0 - AA1 R +JIAWEN JH IY1 - W EH1 N +JIB JH IH1 B +JIBE JH AY1 B +JIBES JH AY1 B Z +JICHA JH IH1 - CH AH0 +JIE JH IY1 +JIF JH IH1 F +JIFENG JH IY1 - F EH1 NG +JIFFI-SNAK JH IH1 - F IY0 S - N AE2 K +JIFFY JH IH1 - F IY0 +JIG JH IH1 G +JIGGETTS JH IH1 - G IH0 T S +JIGGLE JH IH1 - G AH0 L +JIGGLING JH IH1 - G AH0 L - IH0 NG +JIGGLING(2) JH IH1 - G L IH0 NG +JIGS JH IH1 G Z +JIGSAW JH IH1 G - S AO2 +JIHAD JH IY1 - HH AE0 D +JIHAD(2) JH IY1 - HH AA0 D +JIL JH IH1 L +JILEK JH IH1 - L IH0 K +JILES JH AY1 L Z +JILL JH IH1 L +JILLIAN JH IH1 - L IY0 - AH0 N +JILLIAN(2) JH IH1 - L Y AH0 N +JILLION JH IH1 - L Y AH0 N +JILLIONS JH IH1 - L Y AH0 N Z +JILLSON JH IH1 L - S AH0 N +JILT JH IH1 L T +JILTED JH IH1 L - T IH0 D +JIM JH IH1 M +JIM'S JH IH1 M Z +JIMA JH IY1 - M AH0 +JIMBO'S JH IH1 M - B OW0 Z +JIMENEZ HH IH2 - M EH1 - N EH2 Z +JIMERSON JH IH1 - M ER0 - S AH0 N +JIMI JH IH1 - M IY0 +JIMINEZ HH IH0 - M EH1 - N EH2 Z +JIMISON JH IH1 - M IH0 - S AH0 N +JIMMERSON JH IH1 - M ER0 - S AH0 N +JIMMIE JH IH1 - M IY0 +JIMMIED JH IH1 - M IY0 D +JIMMY JH IH1 - M IY0 +JIMMY'S JH IH1 - M IY0 Z +JIN JH IH1 N +JINDO JH IH1 N - D OW0 +JINDRA JH IH1 N - D R AH0 +JINES JH AY1 N Z +JING JH IH1 NG +JINGLE JH IH1 NG - G AH0 L +JINGLES JH IH1 NG - G AH0 L Z +JINGOISM JH IH1 NG - G OW2 - IH0 - Z AH0 M +JINGOISTIC JH IH0 NG - G OW0 - IH1 - S T IH0 K +JINGSHENG JH IH1 NG - SH EH0 NG +JINKINS JH IH1 NG - K IH0 N Z +JINKS JH IH1 NG K S +JINRIGHT JH IH1 N - R AY2 T +JINX JH IH1 NG K S +JIPSON JH IH1 P - S AH0 N +JIRAK JH AO1 - R AH0 K +JIRGA JH ER1 - G AH0 +JIRI JH IH1 - R IY0 +JIRIK JH AO1 - R IH0 K +JIRON Y IH0 - R AO1 N +JIRSA Y IH1 R - S AH0 +JITNEY JH IH1 T - N IY0 +JITTERBUG JH IH1 - T ER0 - B AH2 G +JITTERBUGGING JH IH1 - T ER0 - B AH2 - G IH0 NG +JITTERS JH IH1 - T ER0 Z +JITTERY JH IH1 - T ER0 - IY0 +JIVE JH AY1 V +JIVIDEN Y IY0 - V AY1 - D AH0 N +JIVING JH AY1 - V IH0 NG +JNA JH EY1 - EH1 - N EY1 +JO JH OW1 +JOACHIM Y OW2 - AA1 - K IH0 M +JOACHIM'S Y OW2 - AA1 - K IH0 M Z +JOACHIM'S(2) W AA2 - K IY1 M Z +JOACHIM(2) W AA2 - K IY1 M +JOACHIMS Y OW2 - AA1 - K IH0 M Z +JOACHIMS(2) W AA2 - K IY1 M Z +JOAKIMA JH OW2 - K IY1 - M AH0 +JOAKIMA(2) W AA2 - K IY1 - M AH0 +JOAN JH OW1 N +JOANN JH OW2 - AE1 N +JOANNA JH OW0 - AE1 - N AH0 +JOANNE JH OW2 - AE1 N +JOANOU JH OW1 - N UW2 +JOAO JH OW1 - OW0 +JOAQUIM W AA2 - K IY1 M +JOAQUIN W AA2 - K IY1 N +JOB JH AA1 B +JOB'S JH AA1 B Z +JOB'S(2) JH OW1 B Z +JOB(2) JH OW1 B +JOBBER JH AA1 - B ER0 +JOBBERS JH AA1 - B ER0 Z +JOBE JH OW1 B +JOBES JH OW1 B Z +JOBETE JH OW0 - B IY1 T +JOBIN JH OW1 - B IH0 N +JOBINA Y OW0 - B IY1 - N AH0 +JOBLESS JH AA1 B - L AH0 S +JOBLESSNESS JH AA1 B - L AH0 S - N AH0 S +JOBS JH AA1 B Z +JOBS' JH AA1 B Z +JOBS'S JH AA1 B - Z IH0 Z +JOBSON JH AA1 B - S AH0 N +JOBST JH AA1 B S T +JOBYNA Y AH0 - B IY1 - N AH0 +JOCELIN JH AO1 S - L IH2 N +JOCELINE JH AO1 S - L IH2 N +JOCELYN JH AO1 S - L IH2 N +JOCELYNE JH AO1 S - L IH2 N +JOCHEM JH AA1 - K IH0 M +JOCHEN JH OW1 - K AH0 N +JOCHIM JH AA1 - K IH0 M +JOCHUM JH AA1 - K AH0 M +JOCK JH AA1 K +JOCKEY JH AA1 - K IY0 +JOCKEYING JH AA1 - K IY0 - IH0 NG +JOCKEYS JH AA1 - K IY0 Z +JOCKS JH AA1 K S +JOCOSA Y OW0 - K OW1 - S AH0 +JOCULAR JH AA1 - K Y AH0 - L ER0 +JOCYLAN JH AO1 S - L AH0 N +JOCYLAN'S JH AO1 S - L AH0 N Z +JODI JH OW1 - D IY0 +JODIE JH OW1 - D IY0 +JODOIN ZH AH0 - D OY1 N +JODY JH OW1 - D IY0 +JOE JH OW1 +JOE'S JH OW1 Z +JOEDICKE JH OW1 - D IH0 K +JOEL JH OW1 - AH0 L +JOEL'S JH OW1 - AH0 L Z +JOELLE JH OW0 - EH1 L +JOELSON JH OW1 L - S AH0 N +JOENS JH OW1 N Z +JOERG JH AO1 R G +JOERGER Y ER1 - G ER0 +JOERS JH OW1 - ER0 Z +JOES JH OW1 Z +JOETTE ZH OW0 - EH1 T +JOETTE(2) JH OW0 - EH1 T +JOEY JH OW1 - IY0 +JOEY'S JH OW1 - IY0 Z +JOFFE JH AA1 F +JOFFREY JH AO1 - F R IY0 +JOFFRION Y OW0 - F R IY0 - AO1 N +JOG JH AA1 G +JOGGED JH AA1 G D +JOGGER JH AA1 - G ER0 +JOGGERS JH AA1 - G ER0 Z +JOGGING JH AA1 - G IH0 NG +JOGGING(2) JH AO1 - G IH0 NG +JOGS JH AA1 G Z +JOH JH OW1 +JOHAN Y OW0 - HH AA1 N +JOHANN Y OW1 - HH AA0 N +JOHANNA JH AH0 - HH AE1 - N AH0 +JOHANNES JH OW0 - HH AE1 - N AH0 S +JOHANNESBURG JH OW2 - HH AE1 - N IH0 S - B ER0 G +JOHANNESBURG'S JH OW2 - HH AE1 - N IH0 S - B ER0 G Z +JOHANNESEN JH OW2 - HH AE1 - N IH0 - S AH0 N +JOHANNESSEN JH OW2 - HH AE1 - N IH0 - S AH0 N +JOHANNING Y OW2 - HH AE1 - N IH0 NG +JOHANNING(2) JH OW2 - HH AE1 - N IH0 NG +JOHANNS Y OW1 - HH AA0 N Z +JOHANNSEN JH OW2 - HH AE1 N - S AH0 N +JOHANSEN JH OW2 - HH AE1 N - S AH0 N +JOHANSON JH OW2 - HH AE1 N - S AH0 N +JOHANSSON Y OW2 - HH AA1 N - S AH0 N +JOHANSSON(2) JH OW2 - HH AA1 N - S AH0 N +JOHN JH AA1 N +JOHN'S JH AA1 N Z +JOHNATHON JH AA1 - N AH0 - TH AH0 N +JOHNATHON'S JH AA1 - N AH0 - TH AH0 N Z +JOHNDROW JH AA1 N - D R OW0 +JOHNIE JH AA1 - N IY0 +JOHNNIE JH AA1 - N IY0 +JOHNNIE'S JH AA1 - N IY0 Z +JOHNNY JH AA1 - N IY0 +JOHNNY'S JH AA1 - N IY0 Z +JOHNS JH AA1 N Z +JOHNS'S JH AA1 N - Z IH0 Z +JOHNSEN JH AA1 N - S AH0 N +JOHNSEN'S JH AA1 N - S AH0 N Z +JOHNSEY JH AA1 N - Z IY0 +JOHNSON JH AA1 N - S AH0 N +JOHNSON'S JH AA1 N - S AH0 N Z +JOHNSONS JH AA1 N - S AH0 N Z +JOHNSRUD JH AA1 N - S R AH0 D +JOHNSTON JH AA1 N - S T AH0 N +JOHNSTON'S JH AA1 N - S T AH0 N Z +JOHNSTONE JH AA1 N - S T OW2 N +JOHNSTOWN JH AA1 N Z - T AW2 N +JOHNTA JH AA1 N - T AH0 +JOHNY JH AA1 - N IY0 +JOHSON JH AA1 - S AH0 N +JOICE JH OY1 S +JOIE ZH W AA1 +JOIN JH OY1 N +JOINED JH OY1 N D +JOINER JH OY1 - N ER0 +JOINERY JH OY1 - N ER0 - IY0 +JOINES JH OY1 N Z +JOINING JH OY1 - N IH0 NG +JOINS JH OY1 N Z +JOINT JH OY1 N T +JOINTED JH OY1 N - T AH0 D +JOINTED(2) JH OY1 N - T IH0 D +JOINTED(3) JH OY1 - N IH0 D +JOINTLY JH OY1 N T - L IY0 +JOINTNESS JH OY1 N T - N AH0 S +JOINTS JH OY1 N T S +JOIST JH OY1 S T +JOISTS JH OY1 S T S +JOJOLA Y OW0 - Y OW1 - L AH0 +JOKE JH OW1 K +JOKEBOOK JH OW1 K - B UH2 K +JOKED JH OW1 K T +JOKELA JH AA1 - K IH0 - L AH0 +JOKER JH OW1 - K ER0 +JOKERS JH OW1 - K ER0 Z +JOKERST JH AA1 - K ER0 S T +JOKES JH OW1 K S +JOKHANG JH AA1 K - HH AE0 NG +JOKI JH OW1 - K IY0 +JOKINEN JH AH0 - K IH1 - N AH0 N +JOKING JH OW1 - K IH0 NG +JOKINGLY JH OW1 - K IH0 NG - L IY0 +JOLENE JH OW0 - L IY1 N +JOLES JH OW1 L Z +JOLETTA JH OW0 - L EH1 - T AH0 +JOLETTE JH OW2 - L EH1 T +JOLICOEUR ZH AA1 - L IH0 - K ER0 +JOLIET JH OW1 - L IY0 - EH2 T +JOLIN JH OW1 - L IH0 N +JOLIVETTE ZH AA1 - L IH0 - V EH0 T +JOLLA HH OY1 - Y AH0 +JOLLA(2) JH OW1 - L AH0 +JOLLEY JH AA1 - L IY0 +JOLLIE JH AA1 - L IY0 +JOLLIES JH AA1 - L IY0 Z +JOLLIFF JH AA1 - L IH0 F +JOLLIFFE JH AA1 - L IH0 F +JOLLY JH AA1 - L IY0 +JOLLYING JH AA1 - L IY0 - IH0 NG +JOLSON JH OW1 L - S AH0 N +JOLT JH OW1 L T +JOLTED JH OW1 L - T IH0 D +JOLTING JH OW1 L - T IH0 NG +JOLTS JH OW1 L T S +JOLY JH OW1 - L IY0 +JON JH AA1 N +JON'S JH AA1 N Z +JONAH JH OW1 - N AH0 +JONAS JH OW1 - N AH0 S +JONASSAINT JH OW2 - N AH0 - S EY1 N T +JONASSAINT'S JH OW2 - N AH0 - S EY1 N T S +JONASSEN JH AA1 - N AH0 - S AH0 N +JONATHAN JH AA1 - N AH0 - TH AH0 N +JONATHAN'S JH AA1 - N AH0 - TH AH0 N Z +JONATHON JH AA1 - N AH0 - TH AH0 N +JONBENET JH AO1 N - B IH0 - N EY1 +JONCAS JH AA1 NG - K AH0 Z +JONE JH OW1 N +JONES JH OW1 N Z +JONES' JH OW1 N Z +JONES'S JH OW1 N - Z IH0 Z +JONESBORO JH OW1 N Z - B AH0 - R OW0 +JONESES JH OW1 N - Z IH0 Z +JONESTOWN JH OW1 N Z - T AW0 N +JONG JH AO1 NG +JONI JH OW1 - N IY0 +JONKER JH AA1 NG - K ER0 +JONN JH AA1 N +JONOTHAN JH AA1 - N AH0 - TH AH0 N +JONSMAN JH AA1 N Z - M AH0 N +JONSON JH AA1 N - S AH0 N +JONSSON JH AA1 N - S AH0 N +JOO JH UW1 +JOON JH UW1 N +JOONG JH UH1 NG +JOOS JH UW1 Z +JOOST JH UW1 S T +JOOSTEN Y UW1 - S AH0 N +JOPLIN JH AA1 P - L IH0 N +JOPLING JH OW1 - P AH0 L - IH0 NG +JOPLING(2) JH OW1 - P L IH0 NG +JOPP JH AA1 P +JORDACHE JH AO1 R - D AE2 SH +JORDAHL JH AO1 R - D AA0 L +JORDAN JH AO1 R - D AH0 N +JORDAN'S JH AO1 R - D AH0 N Z +JORDANA Y AO0 R - D AE1 - N AH0 +JORDANIAN JH AO2 R - D EY1 - N IY0 - AH0 N +JORDANIANS JH AO0 R - D EY1 - N IY0 - AH0 N Z +JORDANS JH AO1 R - D AH0 N Z +JORDE JH AO1 R D +JORDEN JH AO1 R - D AH0 N +JORDY JH AO1 R - D IY0 +JORGE HH AO1 R - HH EY0 +JORGENSEN JH AO1 R - G AH0 N - S AH0 N +JORGENSON JH AO1 R - G IH0 N - S AH0 N +JORIO JH AO1 - R IY0 - OW0 +JORNAL JH AO1 R - N AH0 L +JORSTAD JH AO1 R - S T AH0 D +JORY JH AO1 - R IY0 +JOS JH OW1 Z +JOSCELINE JH AA1 - S IH0 - L AY2 N +JOSCELYN JH AA1 - S IH0 - L IH0 N +JOSCELYNE JH AA1 - S IH0 - L AY2 N +JOSE HH OW2 - Z EY1 +JOSE'S HH OW2 - Z EY1 Z +JOSEF JH OW1 - S AH0 F +JOSEPH JH OW1 - S AH0 F +JOSEPH'S JH OW1 - Z AH0 F S +JOSEPH(2) JH OW1 - Z AH0 F +JOSEPHA JH OW0 - S EH1 - F AH0 +JOSEPHINA JH AA0 - S IH0 - F AY1 - N AH0 +JOSEPHINA(2) JH OW0 - Z AH0 - F IY1 - N AH0 +JOSEPHINE JH OW1 - S AH0 - F IY2 N +JOSEPHS JH OW1 - S IH0 F S +JOSEPHS(2) JH OW1 - Z IH0 F S +JOSEPHSON JH OW1 - S AH0 F - S AH0 N +JOSEPHTHAL JH OW1 - S AH0 F - TH AO2 L +JOSEPHUS JH OW0 - S IY1 - F AH0 S +JOSER JH OW1 - Z ER0 +JOSER'S JH OW1 - Z ER0 Z +JOSETTE ZH AH0 - S EH1 T +JOSEY JH OW1 - Z IY0 +JOSH JH AA1 SH +JOSHI JH OW1 - SH IY0 +JOSHUA JH AA1 - SH UW0 - AH0 +JOSIAH JH OW0 - S AY1 - AH0 +JOSIE JH OW1 - Z IY0 +JOSKE'S JH AO1 S - K IY0 Z +JOSLEYN JH AA1 S - L IH2 N +JOSLIN JH AA1 S - L IH0 N +JOSLYN JH AO1 S - L IH0 N +JOSPIN JH AA1 - S P IH0 N +JOSS JH AO1 S +JOSSELYN JH AA1 - S IH0 - L IH0 N +JOST JH AA1 S T +JOSTEN JH AA1 - S AH0 N +JOSTENS JH AO1 - S T AH0 N Z +JOSTES JH OW1 S T S +JOSTLE JH AA1 - S AH0 L +JOSTLED JH AA1 - S AH0 L D +JOSTLING JH AA1 - S AH0 L - IH0 NG +JOSTLING(2) JH AA1 - S L IH0 NG +JOSWICK JH AA1 S - W IH0 K +JOT JH AA1 T +JOTTED JH AA1 - T IH0 D +JOUBERT Y AW1 - B ER0 T +JOUETT JH AA1 - UW0 T +JOULE JH UW1 L +JOULES JH UW1 L Z +JOULWAN JH UW1 L - W AA0 N +JOULWAN(2) JH UW1 L HH - W AA0 N +JOUR JH AW1 R +JOURDAN ZH UH0 R - D AE1 N +JOURET ZH W AA0 - R EY1 +JOURET'S ZH W AA0 - R EY1 Z +JOURET'S(2) JH ER0 - EH1 T S +JOURET(2) JH ER0 - EH1 T +JOURNAL JH ER1 - N AH0 L +JOURNAL'S JH ER1 - N AH0 L Z +JOURNALESE JH ER2 - N AH0 - L IY1 Z +JOURNALISM JH ER1 - N AH0 - L IH2 - Z AH0 M +JOURNALISM'S JH ER1 - N AH0 - L IH2 - Z AH0 M Z +JOURNALIST JH ER1 - N AH0 - L AH0 S T +JOURNALIST'S JH ER1 - N AH0 - L IH0 S T S +JOURNALIST(2) JH ER1 - N AH0 - L IH0 S T +JOURNALISTIC JH ER2 - N AH0 - L IH1 - S T IH0 K +JOURNALISTICALLY JH ER2 - N AH0 - L IH1 - S T IH0 - K AH0 - L IY0 +JOURNALISTICALLY(2) JH ER2 - N AH0 - L IH1 - S T IH0 K - L IY0 +JOURNALISTS JH ER1 - N AH0 - L AH0 S T S +JOURNALISTS' JH ER1 - N AH0 - L IH0 S T S +JOURNALISTS(2) JH ER1 - N AH0 - L IH0 S T S +JOURNALISTS(3) JH ER1 - N AH0 - L IH0 S S +JOURNALISTS(4) JH ER1 - N AH0 - L IH0 S +JOURNALS JH ER1 - N AH0 L Z +JOURNEY JH ER1 - N IY0 +JOURNEYED JH ER1 - N IY0 D +JOURNEYING JH ER1 - N IY0 - IH0 NG +JOURNEYMAN JH ER1 - N IY0 - M AE2 N +JOURNEYMAN'S JH ER1 - N IY0 - M AH0 N Z +JOURNEYS JH ER1 - N IY0 Z +JOUST JH AW1 S T +JOUSTING JH AW1 - S T IH0 NG +JOVAN JH OW1 - V AH0 N +JOVANOVIC Y AH0 - V AH0 - N AA1 - V IH0 K +JOVANOVICH JH OW0 - V AE1 - N AH0 - V IH0 CH +JOVI JH OW1 - V IY0 +JOVIAL JH OW1 - V IY0 - AH0 L +JOVIAN JH OW1 - V IY0 - AH0 N +JOVITA Y AH0 - V AY1 - T AH0 +JOVITO JH OW0 - V IY1 - T OW0 +JOWERS JH AW1 - ER0 Z +JOWETT JH AW1 - IH0 T +JOWL JH AW1 L +JOWLEY JH OW1 - L IY0 +JOWLS JH AW1 L Z +JOWLY JH AW1 - L IY0 +JOY JH OY1 +JOY'S JH OY1 Z +JOYAL JH OY1 - AH0 L +JOYCE JH OY1 S +JOYCE'S JH OY1 - S IH0 Z +JOYCELYN JH OY1 S - L IH2 N +JOYCELYN'S JH OY1 S - L IH2 N Z +JOYE JH OY1 +JOYFUL JH OY1 - F AH0 L +JOYFULLY JH OY1 - F AH0 - L IY0 +JOYING JH OY1 - IH0 NG +JOYNER JH OY1 - N ER0 +JOYNES JH OY1 N Z +JOYNT JH OY1 N T +JOYONI JH OY0 - OW1 - N IY0 +JOYOUS JH OY1 - AH0 S +JOYRIDE JH OY1 - R AY2 D +JOYRIDING JH OY1 - R AY2 - D IH0 NG +JOYS JH OY1 Z +JOYSTICK JH OY1 - S T IH2 K +JOZEF JH OW1 - Z AH0 F +JOZWIAK Y AA1 Z - V IY0 - AE0 K +JR JH UW1 - N Y ER0 +JR(2) JH EY1 - AA1 R +JU JH UW1 +JUA JH UW1 - AH0 +JUAN W AA1 N +JUAN(2) HH W AA1 N +JUANA W AA1 - N AH0 +JUANA(2) HH W AA1 - N AH0 +JUANITA W AA0 - N IY1 - T AH0 +JUANITA(2) W AA0 - N IY1 - T AH0 +JUAREZ W AA1 - R EH2 Z +JUAREZ(2) HH W AA1 - R EH2 Z +JUAREZ-ESPIN W AA2 - R EH1 - Z EH1 - S P IH0 N +JUAREZ-ESPIN(2) HH W AA2 - R EH1 - Z EH1 - S P IH0 N +JUBA JH UW1 - B AH0 +JUBB JH AH1 B +JUBILANT JH UW1 - B AH0 - L AH0 N T +JUBILATION JH UW2 - B AH0 - L EY1 - SH AH0 N +JUBILEE JH UW1 - B AH0 - L IY2 +JUBILEE(2) JH UW2 - B AH0 - L IY1 +JUCKETT JH AH1 - K IH0 T +JUDAH JH UW1 - D AH0 +JUDAISM JH UW1 - D EY0 - IH2 - Z AH0 M +JUDAISM'S JH UW1 - D EY0 - IH2 - Z AH0 M Z +JUDAISM'S(2) JH UW1 - D IY0 - IH2 - Z AH0 M Z +JUDAISM(2) JH UW1 - D IY0 - IH2 - Z AH0 M +JUDAS JH UW1 - D AH0 S +JUDAY JH UW1 - D EY2 +JUDD JH AH1 D +JUDDS JH AH1 D Z +JUDE JH UW1 D +JUDE'S JH UW1 D Z +JUDEA JH UW0 - D IY1 - AH0 +JUDEO JH UW0 - D EY1 - OW0 +JUDGE JH AH1 JH +JUDGE'S JH AH1 - JH IH0 Z +JUDGED JH AH1 JH D +JUDGEMENT JH AH1 JH - M AH0 N T +JUDGEMENTAL JH AH0 JH - M EH1 N - T AH0 L +JUDGEMENTS JH AH1 JH - M AH0 N T S +JUDGES JH AH1 - JH IH0 Z +JUDGES' JH AH1 - JH IH0 Z +JUDGESHIP JH AH1 JH - SH IH2 P +JUDGESHIPS JH AH1 JH - SH IH2 P S +JUDGING JH AH1 - JH IH0 NG +JUDGMENT JH AH1 JH - M AH0 N T +JUDGMENTAL JH AH0 JH - M EH1 N - T AH0 L +JUDGMENTAL(2) JH AH0 JH - M EH1 - N AH0 L +JUDGMENTS JH AH1 JH - M AH0 N T S +JUDICATE JH UW1 - D IH0 - K EY2 T +JUDICE JH UW1 - D IH0 S +JUDICIAL JH UW0 - D IH1 - SH AH0 L +JUDICIALLY JH UW0 - D IH1 - SH AH0 - L IY0 +JUDICIARY JH UW0 - D IH1 - SH IY0 - EH2 - R IY0 +JUDICIOUS JH UW0 - D IH1 - SH AH0 S +JUDICIOUSLY JH UW0 - D IH1 - SH IH0 S - L IY0 +JUDIE JH AH1 - D IY0 +JUDISHE JH UW2 - D IY1 SH +JUDITH JH UW1 - D AH0 TH +JUDITH(2) JH UW1 - D IH0 TH +JUDITHA JH UW0 - D IH1 - TH AH0 +JUDKINS JH AH1 D - K IH0 N Z +JUDO JH UW1 - D OW2 +JUDSEN JH AH1 D - S AH0 N +JUDSON JH AH1 D - S AH0 N +JUDY JH UW1 - D IY0 +JUDY'S JH UW1 - D IY0 Z +JUE JH UW1 +JUEDES JH W EH1 - D EH0 S +JUEDES(2) Y UW0 - EH1 - D EH0 S +JUEL JH UW1 L +JUENEMANN Y UW1 N - M AH0 N +JUENGER Y UW1 NG - G ER0 +JUERGEN Y ER1 - G AH0 N +JUERGEN(2) JH ER1 - G AH0 N +JUERGENS Y ER1 - G AH0 N Z +JUERGENS(2) JH ER1 - G AH0 N Z +JUETENG JH UW1 - T EH2 NG +JUETT JH UW1 T +JUG JH AH1 G +JUGE JH UW1 JH +JUGGERNAUT JH AH1 - G ER0 - N AO2 T +JUGGLE JH AH1 - G AH0 L +JUGGLED JH AH1 - G AH0 L D +JUGGLER JH AH1 - G AH0 - L ER0 +JUGGLER(2) JH AH1 G - L ER0 +JUGGLERS JH AH1 - G AH0 - L ER0 Z +JUGGLERS(2) JH AH1 G - L ER0 Z +JUGGLES JH AH1 - G AH0 L Z +JUGGLING JH AH1 - G AH0 L - IH0 NG +JUGGLING(2) JH AH1 - G L IH0 NG +JUGS JH AH1 G Z +JUGULAR JH UW1 - G Y AH0 - L ER0 +JUHAS JH UW1 - AH0 Z +JUHASZ Y AH1 - HH AH0 SH +JUHL JH AH1 L +JUHLIN JH UW1 - L IH0 N +JUHNKE JH AH1 NG K +JUICE JH UW1 S +JUICES JH UW1 - S AH0 Z +JUICES(2) JH UW1 - S IH0 Z +JUICIER JH UW0 - IH1 - S Y ER0 +JUICIEST JH UW1 - S IY0 - AH0 S T +JUICY JH UW1 - S IY0 +JUILLIARD JH UW1 - L IY0 - AA0 R D +JUJITSU JH UW0 - JH IH1 T - S UW2 +JUJO JH UW1 - JH OW0 +JUJU JH UW1 - JH UW0 +JUKE JH UW1 K +JUKEBOX JH UW1 K - B AA2 K S +JUKEBOXES JH UW1 K - B AA2 K - S IH0 Z +JUKES JH UW1 K S +JUKI JH UW1 - K IY0 +JULE JH UW1 L +JULEP JH UW1 - L AH0 P +JULEPS JH UW1 - L AH0 P S +JULES JH UW1 L Z +JULI JH UW1 - L IY0 +JULIA JH UW1 - L Y AH0 +JULIA'S JH UW1 - L Y AH0 Z +JULIAN JH UW1 - L IY0 - AH0 N +JULIAN(2) JH UW1 - L Y AH0 N +JULIANA JH UW2 - L IY0 - AE1 - N AH0 +JULIANN JH UW1 - L IY0 - AE0 N +JULIANN(2) JH UW1 - L Y AH0 N +JULIANNE JH UW1 - L IY0 - EH2 N +JULIANO JH UW2 - L IY0 - AA1 - N OW0 +JULIE JH UW1 - L IY0 +JULIE'S JH UW1 - L IY0 Z +JULIEN JH UW1 - L IY0 - AH0 N +JULIET JH UW1 - L IY0 - EH2 T +JULIETA Y UW0 - L IY1 - T AH0 +JULIETTA JH UW0 - L IY0 - EH1 - T AH0 +JULIETTE JH UW0 - L IY0 - EH1 T +JULIN JH UW1 - L IH0 N +JULINA Y UW0 - L IY1 - N AH0 +JULINE JH UW1 - L AY0 N +JULIO JH UW1 - L IY0 - OW0 +JULIO(2) HH UW1 - L IY0 - OW0 +JULIUS JH UW1 - L Y AH0 S +JULIUSZ JH UW1 - L IY0 - UW0 S +JULLIARD JH UW1 - L IY0 - AA2 R D +JULSON JH AH1 L - S AH0 N +JULY JH UW2 - L AY1 +JULY'S JH UW2 - L AY1 Z +JULY'S(2) JH AH0 - L AY1 Z +JULY(2) JH AH0 - L AY1 +JUMANJI JH UW0 - M AA1 N - JH IY0 +JUMBLE JH AH1 M - B AH0 L +JUMBLED JH AH1 M - B AH0 L D +JUMBO JH AH1 M - B OW0 +JUMBOS JH AH1 M - B OW2 Z +JUMBOTRON JH AH1 M - B OW0 - T R AO0 N +JUMBOTRONS JH AH1 M - B OW0 - T R AO0 N Z +JUMONVILLE ZH AH1 - M AH0 N - V IH0 L +JUMONVILLE(2) JH UW1 - M AH0 N - V IH0 L +JUMP JH AH1 M P +JUMPED JH AH1 M P T +JUMPER JH AH1 M - P ER0 +JUMPERS JH AH1 M - P ER0 Z +JUMPING JH AH1 M - P IH0 NG +JUMPS JH AH1 M P S +JUMPSTART JH AH1 M P - S T AA2 R T +JUMPSUIT JH AH1 M P - S UW2 T +JUMPY JH AH1 M - P IY0 +JUN JH AH1 N +JUNCO JH AH1 NG - K OW0 +JUNCTION JH AH1 NG K - SH AH0 N +JUNCTURE JH AH1 NG K - CH ER0 +JUNCTURES JH AH1 NG K - CH ER0 Z +JUNDA JH AH1 N - D AH0 +JUNDT JH AH1 N T +JUNE JH UW1 N +JUNE'S JH UW1 N Z +JUNEAU JH UW1 - N OW0 +JUNEJO JH UW0 - N EY1 - HH OW0 +JUNEK JH UW1 - N IH0 K +JUNELLA JH UW2 - N EH1 - L AH0 +JUNES JH UW1 N Z +JUNETTE JH UW2 - N EH1 T +JUNG Y UH1 NG +JUNG'S Y UH1 NG Z +JUNGBLUTH JH AH1 NG - B L UW0 TH +JUNGE JH AH1 NG +JUNGELS JH AH1 NG - G AH0 L Z +JUNGER JH AH1 - NG ER0 +JUNGERS JH AH1 - NG ER0 Z +JUNGHANS JH AH1 NG - G AH0 N Z +JUNGLE JH AH1 NG - G AH0 L +JUNGLES JH AH1 NG - G AH0 L Z +JUNGMAN JH AH1 NG - M AH0 N +JUNGWIRTH JH AH1 NG - G W ER0 TH +JUNIA Y UW1 - N IY0 - AH0 +JUNIATA Y UW0 - N IY0 - AA1 - T AH0 +JUNINE JH AH1 - N IH0 N +JUNIOR JH UW1 - N Y ER0 +JUNIOR'S JH UW1 - N Y ER0 Z +JUNIORS JH UW1 - N Y ER0 Z +JUNIPER JH UW1 - N AH0 - P ER0 +JUNIPERS JH UW1 - N IH0 - P ER0 Z +JUNIUS JH UW1 - N IY0 - IH0 S +JUNJI JH AH1 N - JH IY0 +JUNK JH AH1 NG K +JUNKBOND JH AH1 NG K - B AA2 N D +JUNKED JH AH1 NG K T +JUNKER JH AH1 NG - K ER0 +JUNKET JH AH1 NG - K IH0 T +JUNKETS JH AH1 NG - K IH0 T S +JUNKHOLDER JH AH1 NG K - HH OW2 L - D ER0 +JUNKHOLDERS JH AH1 NG K - HH OW2 L - D ER0 Z +JUNKIE JH AH1 NG - K IY0 +JUNKIER JH AH1 NG - K IY0 - ER0 +JUNKIES JH AH1 NG - K IY0 Z +JUNKIEST JH AH1 NG - K IY0 - AH0 S T +JUNKIN JH AH1 NG - K IH0 N +JUNKING JH AH1 NG - K IH0 NG +JUNKINS JH AH1 NG - K IH2 N Z +JUNKY JH AH1 NG - K IY0 +JUNKYARD JH AH1 NG K - Y AA2 R D +JUNKYARDS JH AH1 NG K - Y AA2 R D Z +JUNO JH UW1 - N OW0 +JUNO'S JH UW1 - N OW0 Z +JUNOD JH UW1 - N AH0 D +JUNOT JH UW1 - N AH0 T +JUNTA HH UH1 N - T AH0 +JUNTUNEN JH AH1 N - T AH0 - N AH0 N +JUPIN JH UW1 - P IH0 N +JUPITER JH UW1 - P AH0 - T ER0 +JUPITER'S JH UW1 - P AH0 - T ER0 Z +JUPITER'S(2) JH UW1 - P IH0 - T ER0 Z +JUPITER(2) JH UW1 - P IH0 - T ER0 +JUPPE JH UW1 - P IY0 +JURADO Y UH0 - R AA1 - D OW0 +JURAN Y UH0 - R AA1 N +JURANEK JH UH1 - R AH0 - N IH0 K +JURAS JH UH1 - R AH0 Z +JURASSIC JH UH0 - R AE1 - S IH0 K +JURCZAK Y ER1 - CH AE0 K +JURCZYK Y ER1 - CH IH0 K +JURE JH UH1 R +JUREK JH UH1 - R EH0 K +JUREK(2) Y UH1 - R EH0 K +JUREWICZ JH UH1 - R AH0 - V IH0 CH +JUREWICZ(2) Y UH1 - R AH0 - V IH0 CH +JURGEN JH ER1 - G AH0 N +JURGENS JH ER1 - G AH0 N Z +JURGENSEN JH ER1 - G IH0 N - S AH0 N +JURGENSMEYER JH ER1 - G AH0 N Z - M AY2 R +JURGENSON JH ER1 - G IH0 N - S AH0 N +JURICA JH UH1 - R IH0 - K AH0 +JURICH JH UH1 - R IH0 K +JURIES JH UH1 - R IY0 Z +JURIS JH UH1 - R IH0 S +JURISDICTION JH UH2 - R AH0 S - D IH1 K - SH AH0 N +JURISDICTION(2) JH UH2 - R IH0 S - D IH1 K - SH AH0 N +JURISDICTIONAL JH UH2 - R AH0 S - D IH1 K - SH AH0 - N AH0 L +JURISDICTIONS JH UH2 - R IH0 S - D IH1 K - SH AH0 N Z +JURISPRUDENCE JH UH2 - R AH0 S - P R UW1 - D AH0 N S +JURISPRUDENTIAL JH UH2 - R AH0 S - P R UW2 - D EH1 N - SH AH0 L +JURISPRUDENTIAL(2) JH UH2 - R AH0 S - P R UW2 - D EH1 N - CH AH0 L +JURIST JH UH1 - R AH0 S T +JURIST(2) JH UH1 - R IH0 S T +JURISTS JH UH1 - R IH0 S T S +JURISTS(2) JH UH1 - R IH0 S S +JURISTS(3) JH UH1 - R IH0 S +JURKIEWICZ Y ER1 - K AH0 - V IH0 CH +JURKOVICH Y ER1 - K AH0 - V IH0 CH +JURKOWSKI Y ER0 - K AO1 F S - K IY0 +JURNEY JH ER1 - N IY0 +JUROR JH UH1 - R ER0 +JUROR'S JH UH1 - R ER0 Z +JURORS JH UH1 - R ER0 Z +JURORS' JH UH1 - R ER0 Z +JURS JH ER1 Z +JURY JH UH1 - R IY0 +JURY'S JH UH1 - R IY0 Z +JUSCO JH AH1 - S K OW0 +JUSINO Y UW0 - S IY1 - N OW0 +JUST JH AH1 S T +JUST(2) JH IH0 S T +JUSTA JH AH1 - S T AH0 +JUSTA(2) JH IH0 - S T AH0 +JUSTEN JH AH1 - S T AH0 N +JUSTER JH AH1 - S T ER0 +JUSTESEN JH AH1 - S T IY0 - Z AH0 N +JUSTICE JH AH1 - S T AH0 S +JUSTICE'S JH AH1 - S T IH0 - S IH0 Z +JUSTICE(2) JH AH1 - S T IH0 S +JUSTICES JH AH1 - S T AH0 - S AH0 Z +JUSTICES' JH AH1 - S T IH0 - S IH0 Z +JUSTICES(2) JH AH1 - S T IH0 - S IH0 Z +JUSTIFIABLE JH AH1 - S T AH0 - F AY2 - AH0 - B AH0 L +JUSTIFIABLY JH AH1 - S T AH0 - F AY2 - AH0 - B L IY0 +JUSTIFICATION JH AH2 - S T AH0 - F AH0 - K EY1 - SH AH0 N +JUSTIFICATIONS JH AH2 - S T IH0 - F IH0 - K EY1 - SH AH0 N Z +JUSTIFIED JH AH1 - S T AH0 - F AY2 D +JUSTIFIES JH AH1 - S T AH0 - F AY2 Z +JUSTIFY JH AH1 - S T AH0 - F AY2 +JUSTIFYING JH AH1 - S T AH0 - F AY2 - IH0 NG +JUSTIN JH AH1 - S T AH0 N +JUSTIN'S JH AH1 - S T AH0 N Z +JUSTIN'S(2) JH AH1 - S T IH0 N Z +JUSTIN(2) JH AH1 - S T IH0 N +JUSTINA Y UW0 - S T IY1 - N AH0 +JUSTINE JH AH0 - S T IY1 N +JUSTINIANO JH UW0 - S T IY0 - N IY0 - AA1 - N OW0 +JUSTINO JH AH0 - S T IY1 - N OW0 +JUSTIS Y UW1 - S T IH0 S +JUSTISS Y UW1 - S T IY0 S +JUSTLY JH AH1 S T - L IY0 +JUSTMAN JH AH1 S T - M AH0 N +JUSTO JH AH1 - S T OW0 +JUSTUS JH AH1 - S T AH0 S +JUSTY JH AH1 - S T IY0 +JUT JH AH1 T +JUTE JH UW1 T +JUTLAND JH AH1 T - L AH0 N D +JUTRAS Y UW1 - T R AA0 Z +JUTS JH AH1 T S +JUTTING JH AH1 - T IH0 NG +JUUL JH UW1 - AH0 L +JUVE JH UW1 V +JUVENILE JH UW1 - V AH0 - N AH0 L +JUVENILE'S JH UW1 - V AH0 - N AH0 L Z +JUVENILE'S(2) JH UW1 - V AH0 - N AY2 L Z +JUVENILE(2) JH UW1 - V AH0 - N AY2 L +JUVENILES JH UW1 - V AH0 - N AH0 L Z +JUVENILES(2) JH UW1 - V AH0 - N AY2 L Z +JUXTAPOSE JH AH2 K - S T AH0 - P OW1 Z +JUXTAPOSED JH AH2 K - S T AH0 - P OW1 Z D +JUXTAPOSITION JH AH2 K - S T AH0 - P AH0 - Z IH1 - SH AH0 N +JUXTAPOSITIONS JH AH2 K - S T AH0 - P AH0 - Z IH1 - SH AH0 N Z +JYISHANE JH IY1 - SH EY1 N +JYNX JH IH1 NG K S +K K EY1 +K'S K EY1 Z +K-MART K EY1 - M AA1 R T +K-MART'S K EY1 - M AA1 R T S +K. K EY1 +K.'S K EY1 Z +KA K AA1 +KAAS K AA1 Z +KAATZ K AA1 T S +KABART K AH0 - B AA1 R T +KABAT K AE1 - B AH0 T +KABBALAH K AH0 - B AA1 - L AH0 +KABBANI K AH0 - B AA1 - N IY0 +KABEL K AE1 - B AH0 L +KABI K AE1 - B IY0 +KABI(2) K AA1 - B IY0 +KABIVITRUM K AH0 - B IH1 - V IH0 - T R AH0 M +KABLE K EY1 - B AH0 L +KABLER K EY1 - B AH0 L - ER0 +KABLER(2) K EY1 - B L ER0 +KABOOM K AH0 - B UW1 M +KABRAL K AH0 - B R AA1 L +KABUKI K AH0 - B UW1 - K IY2 +KABUL K AA1 - B UH0 L +KACER K EY1 - S ER0 +KACH K AE1 CH +KACHEL K AE1 - K AH0 L +KACHIGIAN K AH0 - SH IY1 - G IY0 - AH0 N +KACHIGIAN(2) K AH0 - SH IH1 - G IY0 - AH0 N +KACHMAR K AE1 K - M ER0 +KACHUR K AE1 - CH ER0 +KACKLEY K AE1 K - L IY0 +KACZMARCZYK K AA1 CH - M ER0 - CH IH0 K +KACZMAREK K AH0 CH - M AA1 - R EH0 K +KACZMARSKI K AH0 CH - M AA1 R S - K IY0 +KACZOR K AA1 - CH ER0 +KACZOROWSKI K AH0 - CH ER0 - AO1 F S - K IY0 +KACZYNSKI K AH0 - CH IH1 N - S K IY0 +KACZYNSKI'S K AH0 - CH IH1 N - S K IY0 Z +KACZYNSKI'S(2) K AH0 - Z IH1 N - S K IY0 Z +KACZYNSKI(2) K AH0 - Z IH1 N - S K IY0 +KADAR K AE1 - D ER0 +KADAR(2) K AH0 - D AA1 R +KADE K EY1 D +KADEL K AE1 - D AH0 L +KADEN K EY1 - D AH0 N +KADER K EY1 - D ER0 +KADING K EY1 - D IH0 NG +KADISH K EY1 - D IH0 SH +KADLEC K AA1 D - L IH0 K +KADOW K AA1 - D OW0 +KADRESCU K AH0 - D R EH1 - S K Y UW0 +KADRMAS K AE1 - D ER0 - M AA2 Z +KADUMI K AH0 - D UW1 - M IY0 +KADY K EY1 - D IY0 +KAEDING K EH1 - D IH0 NG +KAEHLER K EH1 - L ER0 +KAEL K EY1 L +KAELIN K EH1 - L IH0 N +KAELIN'S K EH1 - L IH0 N Z +KAERCHER K EH1 R - K ER0 +KAESER K EY1 - Z ER0 +KAESTNER K EH1 S T - N ER0 +KAETZEL K EH1 T - Z AH0 L +KAFELNIKOV K AH0 - F EH1 L - N IH0 K - AO2 F +KAFELNIKOV(2) K AH0 - F EH1 L - N IH0 - K AO2 V +KAFER K EY1 - F ER0 +KAFFENBERGER K AE1 - F AH0 N - B ER0 - G ER0 +KAFKA K AA1 F - K AH0 +KAFKA'S K AA1 F - K AH0 Z +KAFKAESQUE K AA1 F - K AH0 - EH1 S K +KAGAMI K AE1 - G AH0 - M IY0 +KAGAN K EY1 - G AH0 N +KAGARLITSKY K AE2 - G ER0 - L IH1 T S - K IY1 +KAGAWA K AH0 - G AA1 - W AH0 +KAGE K EY1 JH +KAGEL K EY1 - G AH0 L +KAGEY K EY1 - JH IY0 +KAGEYAMA K AA2 - G IY0 - AA1 - M AH0 +KAGIN K EY1 - G IH0 N +KAGINS K EY1 - G IH0 N Z +KAGLER K AE1 - G L ER0 +KAGY K EY1 - G IY0 +KAH K AA1 +KAHAN K AH0 - HH AA1 N +KAHAN'S K AH0 - HH AA1 N Z +KAHANE K AH0 - HH AA1 - N EY2 +KAHANE(2) K AH0 - HH EY1 N +KAHL K AA1 L +KAHLE K AA1 L +KAHLER K AA1 - L ER0 +KAHLEY K AA1 - L IY0 +KAHN K AA1 N +KAHN'S K AA1 N Z +KAHNG K AA1 NG +KAHR K AA1 R +KAHR'S K AA1 R Z +KAHRE K EH1 R +KAHRE(2) K AA1 R +KAHRS K AA1 R Z +KAHUNA K AH0 - HH UW1 - N AH0 +KAI K AY1 +KAIFU K AY1 - F UW2 +KAIGLER K EY1 G - L ER0 +KAIL K EY1 L +KAILASH K EY1 - L AH0 SH +KAIM K EY1 M +KAIN K EY1 N +KAINE K EY1 N +KAINER K EY1 - N ER0 +KAINZ K EY1 N Z +KAIRAMO K EH2 - R AA1 - M OW0 +KAIREY K EH1 - R IY0 +KAISER K AY1 - Z ER0 +KAISER'S K AY1 - Z ER0 Z +KAISERAUGST K AY1 - Z ER0 - AO0 G S T +KAISERTECH K AY1 - Z ER0 - T EH2 K +KAISERTECH'S K AY1 - Z ER0 - T EH2 K S +KAISHA K EY1 - SH AH0 +KAJI K AA1 - JH IY0 +KAJIMA K AA2 - JH IY1 - M AH0 +KAJUAHAR K AH0 - JH UW1 - AH0 - HH AA0 R +KAKADU K AA2 - K AA1 - D UW0 +KAKIMOTO K AA2 - K IH0 - M OW1 - T OW0 +KAKOS K EY1 - K OW0 Z +KAKTOVIK K AE2 K - T OW1 - V IH0 K +KAKUEI K AE1 - K Y UW0 - IY0 +KAKUMARU K AA2 - K UW0 - M AA1 - R UW0 +KAL K AE1 L +KAL(2) K EY1 - EY1 - EH1 L +KALAFUT K AE1 - L AH0 - F AH0 T +KALAL K EY1 - L AH0 L +KALAMAZOO K AE2 - L AH0 - M AH0 - Z UW1 +KALAN K EY1 - L AH0 N +KALAS K AA1 - L AH0 Z +KALASHNIKOV K AH0 - L AE1 SH - N IH0 - K AA2 V +KALATA K AH0 - L AA1 - T AH0 +KALB K AE1 L B +KALBACH K AE1 L - B AA2 K +KALBERER K AE1 L - B ER0 - ER0 +KALBFLEISCH K AE1 L B - F L AY2 SH +KALE K EY1 L +KALEEL K AE1 - L IY0 L +KALEIDA K AH0 - L AY1 - D AH0 +KALEIDOSCOPE K AH0 - L AY1 - D AH0 - S K OW2 P +KALEN K EY1 - L AH0 N +KALER K EY1 - L ER0 +KALETA K AE1 - L IH0 - T AH0 +KALEY K EY1 - L IY0 +KALGOORLIE K AE2 L - G UW1 R - L IY0 +KALIKOW K AE1 - L IH0 - K OW0 +KALIL K AE1 - L AH0 L +KALIN K AE1 - L IH0 N +KALINA K AH0 - L AY1 - N AH0 +KALININGRAD K AH0 - L IH1 - N IH0 NG - G R AE2 D +KALINOSKI K AH0 - L IH0 - N AW1 S - K IY0 +KALINOWSKI K AH0 - L IH0 - N AO1 F S - K IY0 +KALINSKE K AH0 - L IH1 N - S K IY0 +KALINSKI K AH0 - L IH1 N - S K IY0 +KALIS K AE1 - L IH0 S +KALISH K AE1 - L IH0 SH +KALISZ K AA1 - L IH0 SH +KALISZEWSKI K AH0 - L IH0 - SH EH1 F S - K IY0 +KALIVODA K AH0 - L IH0 - V OW1 - D AH0 +KALK K AO1 K +KALKA K AE1 L - K AH0 +KALKASKA K AE0 L - K AA1 - S K AH0 +KALKBRENNER K AE1 L K - B R IH0 - N ER0 +KALL K AO1 L +KALLA K AE1 - L AH0 +KALLAL K AE1 - L AH0 L +KALLAM K AE1 - L AH0 M +KALLAS K AE1 - L AH0 Z +KALLAY K AE1 - L EY0 +KALLEN K AO1 - L AH0 N +KALLENBACH K AE1 - L IH0 N - B AA0 K +KALLENBERGER K AO1 - L AH0 N - B ER0 - G ER0 +KALLHOFF K AE1 L - HH AO0 F +KALLIEL K AE1 - L IY0 - AH0 L +KALLINS K AE1 - L IH0 N Z +KALLIO K AE1 - L IY0 - OW0 +KALLIS K AE1 - L IH0 S +KALLMAN K AO1 L - M AH0 N +KALLMEYER K AE1 L - M AY0 - ER0 +KALLSTROM K AE1 L - S T R AH0 M +KALLUS K AE1 - L AH0 S +KALMAN K AE1 L - M AH0 N +KALMANOVITZ K AE2 L - M AE1 - N AH0 - V IH0 T S +KALMAR K AE1 L - M ER0 +KALMBACH K AE1 L M - B AA0 K +KALMUS K AE1 L - M IH0 S +KALNINS K AE1 L - N IH0 N Z +KALO K EY1 - L OW0 +KALOK K AE1 - L AA2 K +KALOUS K AE1 - L AH0 S +KALP K AE1 L P +KALT K AO1 L T +KALTENBACH K AE1 L - T IH0 N - B AA0 K +KALTENBACHER K AA1 L - T AH0 N - B AA2 - K ER0 +KALTER K AO1 L - T ER0 +KALTHOFF K AE1 L TH +KALUGIN K AH0 - L UW1 - G AH0 N +KALUZA K AH0 - L UW1 - Z AH0 +KALUZNY K AH0 - L AH1 Z - N IY0 +KALVAR K AE1 L - V AA0 R +KAM K AE1 M +KAMA K AA1 - M AH0 +KAMAKAU K AA2 - M AH0 - K AA1 - UW0 +KAMAKAU'S K AA2 - M AH0 - K AA1 - UW0 Z +KAMAL K EY1 - M AH0 L +KAMALI K AH0 - M AA1 - L IY0 +KAMAN K EY1 - M AH0 N +KAMBER K AE1 M - B ER0 +KAMCHATKA K AE2 M - CH AE1 T - K AH0 +KAMCHATKA(2) K AA2 M - CH AA1 T - K AH0 +KAMEHAMEHA K AH0 - M EY1 - AH0 - M EY1 - AH0 +KAMEHAMEHA'S K AH0 - M EY1 - AH0 - M EY1 - AH0 Z +KAMEI K AE1 - M IY0 +KAMEI(2) K AA2 - M EY1 +KAMEL K AA1 - M AH0 L +KAMEN K AA1 - M EH0 N +KAMEN(2) K EY1 - M EH0 N +KAMENAR K AE1 - M AH0 - N ER0 +KAMENS K AA1 - M EH0 N Z +KAMENS(2) K EY1 - M EH0 N Z +KAMENTSEV K AH0 - M EH1 N - T S AA2 V +KAMER K EY1 - M ER0 +KAMERER K AE1 - M ER0 - ER0 +KAMIKAZE K AA2 - M AH0 - K AA1 - Z IY0 +KAMIN K AA1 - M IY0 N +KAMIN(2) K EY1 - M IH2 N +KAMIN(3) K AE1 - M IH2 N +KAMINER K AE1 - M IH0 - N ER0 +KAMINS K AE1 - M IH0 N Z +KAMINS(2) K EY1 - M IH2 N Z +KAMINSKI K AH0 - M IH1 N - S K IY0 +KAMINSKY K AH0 - M IH1 N - S K IY0 +KAMIR K AH0 - M IH1 R +KAMKE K AE1 M - K IY0 +KAMLER K AE1 - M AH0 - L ER0 +KAMLER(2) K AE1 M - L ER0 +KAMM K AE1 M +KAMMAN K AE1 - M AH0 N +KAMMER K AE1 - M ER0 +KAMMERER K AE1 - M ER0 - ER0 +KAMMERZELL K AE1 - M ER0 - Z AH0 L +KAMMEYER K AE1 - M AY0 - ER0 +KAMNEVA K AE2 M - N EY1 - V AH0 +KAMP K AE1 M P +KAMP'S K AE1 M P S +KAMPA K AE1 M - P AH0 +KAMPALA K AH0 M - P AA1 - L AH0 +KAMPE K AE1 M P +KAMPELMAN K AE1 M - P AH0 L - M AH0 N +KAMPEN K AE1 M - P AH0 N +KAMPER K AE1 M - P ER0 +KAMPF K AE1 M P F +KAMPFER K AE1 M P - F ER0 +KAMPHAUS K AE1 M P - HH AW2 S +KAMPMAN K AE1 M P - M AH0 N +KAMPMANN K AE1 M P - M AH0 N +KAMPS K AE1 M P S +KAMPSCHULTE K AE1 M P - SH UH2 L - T IY0 +KAMRA K AE1 - M R AH0 +KAMRADT K AE1 - M R AH0 T +KAMRAN K AE1 - M R AH0 N +KAMRATH K AE1 - M R AH0 TH +KAMSTRA K AE1 M - S T R AH0 +KAN K AE1 N +KANA K AE1 - N AH0 +KANADE K AH0 - N AA1 - D EY2 +KANADY K AE1 - N AH0 - D IY0 +KANAGY K AE1 - N AH0 - JH IY0 +KANAI K AH0 - N AY1 +KANAK K AE1 - N AH0 K +KANAN K EY1 - N AH0 N +KANAREK K AE1 - N ER0 - IH0 K +KANAWA K AA2 - N AA1 - W AH0 +KANAWHA K AH0 - N AO1 - HH AH0 +KANAZAWA K AA2 - N AA0 - Z AA1 - W AH0 +KANDA K AE1 N - D AH0 +KANDAHAR K AE1 N - D AH0 - HH AA0 R +KANDEL K AE1 N - D AH0 L +KANDLER K AE1 N D - L ER0 +KANDT K AE1 N T +KANE K EY1 N +KANE'S K EY1 N Z +KANEB K AE1 - N AH0 B +KANEGSBERG K AE1 - N AH0 G Z - B ER0 G +KANEKO K AA0 - N EY1 - K OW0 +KANEMARU K AE2 - N EH0 - M AA1 - R UW0 +KANEMARU'S K AA2 - N EY0 - M AA1 - R UW0 Z +KANER K EY1 - N ER0 +KANESHIRO K AA0 - N EY0 - SH IH1 - R OW0 +KANEY K EY1 - N IY0 +KANG K AE1 NG +KANG(2) K AA1 NG +KANGAROO K AE2 NG - G ER0 - UW1 +KANGAROOS K AE2 NG - G ER0 - UW1 Z +KANGAS K AE1 NG - G AH0 Z +KANGHUA K AE1 NG - HH Y UW0 - AH0 +KANGYO K AE1 N - JH Y OW0 +KANIA K AA0 - N IY1 - AH0 +KANIEWSKI K AA0 - N IY0 - EH1 F S - K IY0 +KANIEWSKI(2) K AA0 - N IY0 - UW1 S - K IY0 +KANIPE K AE1 - N IH0 P +KANIS K AE1 - N IH0 S +KANITZ K AE1 - N IH0 T S +KANJI K AE1 N - JH IY0 +KANJORSKI K AH0 N - JH AO1 R S - K IY0 +KANKA K AE1 N - K AH0 +KANKA(2) K AE1 NG - K AH0 +KANKAKEE K AE1 NG - K IH0 - K IY0 +KANKAKU K AA2 N - K AA1 - K UW0 +KANN K AE1 N +KANNAN K AA1 - N AH0 N +KANNE K AE1 N +KANNENBERG K AE1 - N AH0 N - B ER0 G +KANNER K AE1 - N ER0 +KANNO K AE1 - N OW0 +KANO K AA1 - N OW0 +KANODE K AH0 - N OW1 D +KANON K EY1 - N AH0 N +KANOUSE K AA0 - N OW0 - UW1 - S EY0 +KANSAI K AE0 N - S AY1 +KANSALLIS K AE2 N - S AE1 - L IH0 S +KANSAN K AE1 N - Z AH0 N +KANSAN'S K AE1 N - Z AH0 N Z +KANSANS K AE1 N - Z AH0 N Z +KANSANS' K AE1 N - Z AH0 N Z +KANSAS K AE1 N - Z AH0 S +KANSAS' K AE1 N - Z AH0 S +KANSAS'S K AE1 N - Z AH0 - S IH0 Z +KANSIAN K AE1 N - Z IY0 - AH0 N +KANT K AE1 N T +KANTER K AE1 N - T ER0 +KANTER'S K AE1 N - T ER0 Z +KANTIAN K AE1 N - T IY0 - AH0 N +KANTNER K AE1 N T - N ER0 +KANTOLA K AH0 N - T OW1 - L AH0 +KANTOR K AE1 N - T ER0 +KANTOR'S K AE1 N - T ER0 Z +KANTOR'S(2) K AE1 N - T AO0 R Z +KANTROWITZ K AE1 N - T R AH0 - W IH0 T S +KANTZ K AE1 N T S +KANZ K AE1 N Z +KANZI K AA1 N - Z IY0 +KANZLER K AE1 N Z - L ER0 +KAO K AW1 +KAO(2) K EY1 - OW2 +KAOHSIUNG K EY2 - OW1 - S IY0 - AH0 NG +KAOLIN K AW1 - L IH0 N +KAOLIN(2) K EY1 - OW0 - L IH0 N +KAORI K AO1 - R IY0 +KAPAUN K AE1 - P AW0 N +KAPFER K AE1 P - F ER0 +KAPINOS K AE1 - P IH0 - N OW0 Z +KAPINOS(2) K AE1 - P IY0 - N OW0 Z +KAPITAN K AE1 - P IH0 - T AH0 N +KAPLAIN K AE1 P - L AH0 N +KAPLAIN'S K AE1 P - L AH0 N Z +KAPLAN K AE1 P - L AH0 N +KAPLAN'S K AE1 P - L AH0 N Z +KAPLER K EY1 - P AH0 - L ER0 +KAPLER(2) K EY1 P - L ER0 +KAPLIN K AE1 P - L IH0 N +KAPLOW K AE1 - P L OW0 +KAPLOWITZ K AA1 - P L AH0 - W IH0 T S +KAPNER K AE1 P - N ER0 +KAPNICK K AE1 P - N IH0 K +KAPOOR K AH0 - P UW1 R +KAPOR K EY1 - P ER0 +KAPOSI K AH0 - P OW1 - S IY0 +KAPOSI'S K AH0 - P OW1 - S IY0 Z +KAPP K AE1 P +KAPPA K AE1 - P AH0 +KAPPEL K AE1 - P AH0 L +KAPPELER K AE1 - P AH0 - L ER0 +KAPPELMAN K AE1 - P AH0 L - M AH0 N +KAPPER K AE1 - P ER0 +KAPPES K AE1 P S +KAPPLER K AE1 P - L ER0 +KAPPUS K AE1 - P AH0 S +KAPRAL K AE1 - P R AH0 L +KAPRAYOON K AE1 - P R AH0 - Y UW0 N +KAPS K AE1 P S +KAPTON K AE1 P - T AH0 N +KAPTUR K AE1 P - T ER0 +KAPUR K AE1 - P ER0 +KAPUSCINSKI K AH0 - P AH0 S - CH IH1 N - S K IY0 +KAPUSTA K AH0 - P AH1 - S T AH0 +KARA K EH1 - R AH0 +KARABAKH K EH1 - R AH0 - B AE0 K +KARABIN K AA0 - R AA1 - B IY0 N +KARACHI K AA0 - R AA1 - CH IY0 +KARADZIC K AA0 - R AA1 - JH IH0 K +KARADZIC'S K AA0 - R AA1 - JH IH0 K S +KARAFFA K AE1 - R AH0 - F AH0 +KARAJAN K EH1 - R AH0 - JH AH0 N +KARAM K AE1 - R AH0 M +KARAMI K ER0 - AA1 - M IY0 +KARAN K EH1 - R AH0 N +KARAN'S K EH1 - R AH0 N Z +KARANICKI K EH2 - R AH0 - N IH1 - K IY0 +KARANITSKI K EH2 - R AH0 - N IH1 T S - K IY0 +KARAOKE K EH2 - R IY0 - OW1 - K IY0 +KARAS K AA1 - R AH0 Z +KARASAWA K AA2 - R AH0 - S AA1 - W AH0 +KARASEK K ER0 - AA1 - S EH0 K +KARASIK K ER0 - AA1 - S IH0 K +KARAT K EH1 - R AH0 T +KARATE K ER0 - AA1 - T IY0 +KARATIRM K ER1 - AH0 - T ER0 M +KARATSU K ER0 - AE1 T - S UW1 +KARATZ K EH1 - R AH0 T S +KARBAN K AA1 R - B AH0 N +KARBASSIOUN K AA2 R - B AE1 - S IY0 - UW2 N +KARBER K AA1 R - B ER0 +KARBOWSKI K ER0 - B AO1 F S - K IY0 +KARCH K AA1 R K +KARCHER K AA1 R - CH ER0 +KARCZ K AA1 R CH +KARCZEWSKI K ER0 - CH EH1 F S - K IY0 +KARDASHIAN K AA1 - D AH0 - SH EY2 N +KARDASHIAN'S K AA1 - D AH0 - SH EY2 N Z +KARDELL K AA1 R - D AH0 L +KARDOS K AA1 R - D OW0 Z +KAREEM K ER0 - IY1 M +KAREEM'S K ER0 - IY1 M Z +KAREL K EH1 - R AH0 L +KARELIAN K ER0 - IY1 - L IY0 - AH0 N +KARELS K EH1 - R AH0 L Z +KAREN K EH1 - R AH0 N +KAREN'S K EH1 - R AH0 N Z +KARENINA K EH2 - R EH0 - N IY1 - N AH0 +KARENINA(2) K AH0 - R EH1 - N IH0 - N AH0 +KARET K EH1 - R AH0 T +KARG K AA1 R G +KARGER K AA1 R - G ER0 +KARGES K AA1 R - JH IH0 Z +KARGONAOV K AA1 R - G AH0 - N AO2 V +KARI K EH1 - R IY0 +KARIBU K EH2 - R IY1 - B UW0 +KARIM K ER0 - IY1 M +KARIMI K AA0 - R IY1 - M IY0 +KARIN K EH1 - R IH0 N +KARINO K EH2 - R IY1 - N OW0 +KARIOTIS K AA2 - R IY0 - OW1 - T IH0 S +KARIS K EH1 - R IY0 Z +KARL K AA1 R L +KARL'S K AA1 R L Z +KARLA K AA1 R - L AH0 +KARLE K AA1 - R AH0 L +KARLEN K AA1 R - L AH0 N +KARLHEINZ K AA1 R L - HH AY1 N Z +KARLIK K AA1 R - L IH0 K +KARLIN K AA1 R - L IH0 N +KARLINE K AA1 R - L AY2 N +KARLOW K AA1 R - L OW0 +KARLS K AA1 R L Z +KARLSEN K AA1 R L - S AH0 N +KARLSON K AA1 R L - S AH0 N +KARLSRUHE K AA1 R L - Z R UW2 +KARLSSON K AA1 R L - S AH0 N +KARMA K AA1 R - M AH0 +KARMAN K AA1 R - M AH0 N +KARN K AA1 R N +KARNAL K AA1 R - N AH0 L +KARNER K AA1 R - N ER0 +KARNES K AA1 R N Z +KARNEY K AA1 R - N IY0 +KARNICKI K AA0 R - N IH1 - K IY0 +KARNOW K AA1 R - N OW0 +KARNOW(2) K AA1 R - N AW0 +KARNS K AA1 R N Z +KARNSUND K AA1 R N - S AH0 N D +KAROL K EH1 - R AO0 L +KAROLINA K EH2 - R AH0 - L AY1 - N AH0 +KAROLINE K EH1 - R AH0 - L AY2 N +KAROLINSKA K EH2 - R OW0 - L IH1 N - S K AH0 +KAROLY K ER0 - OW1 - L IY0 +KAROLYI K ER0 - OW1 - L Y IY0 +KAROLYN K AE1 - R AH0 - L IH0 N +KARON K EH1 - R AH0 N +KAROS K AA1 - R OW0 S +KAROUN K ER0 - UW1 N +KAROW K AA1 - R OW0 +KARP K AA1 R P +KARPATKIN K AA2 R - P AE1 T - K IH0 N +KARPEL K AA1 R - P AH0 L +KARPEN K AA1 R - P AH0 N +KARPF K AA1 R P F +KARPINSKI K ER0 - P IH1 N - S K IY0 +KARPOV K AA1 R - P AA2 V +KARPOWICZ K AA1 R - P AH0 - V IH0 CH +KARR K AA1 R +KARRAKER K AA1 - R AH0 - K ER0 +KARRAS K AE1 - R AH0 Z +KARREN K AE1 - R AH0 N +KARRER K AA1 - R ER0 +KARRICK K AE1 - R IH0 K +KARRIKER K AE1 - R IH0 - K ER0 +KARRY K EH1 - R IY0 +KARSH K AA1 R SH +KARSHNER K AA1 R SH - N ER0 +KARSON K AA1 R - S AH0 N +KARST K AA1 R S T +KARSTADT K AA1 R - S T AE2 T +KARSTEN K AA1 R - S T AH0 N +KARSTENS K AA1 R - S T AH0 N Z +KARSTETTER K AA1 R - S T IH0 - T ER0 +KARTASASMITA K AA0 R - T AE2 - S AH0 S - M IY1 - T AH0 +KARTCHNER K AA1 R CH - N ER0 +KARTER K AA1 R - T ER0 +KARTES K AA1 R T S +KARUN K ER0 - UW1 N +KARVONEN K AA1 R - V AH0 - N AH0 N +KARWOSKI K ER0 - V AW1 S - K IY0 +KARWOWSKI K ER0 - V AO1 F S - K IY0 +KARY K EH1 - R IY0 +KARYDAKIS K EH2 - R IY0 - D AE1 - K IH0 S +KARYN K AE1 - R IH0 N +KASABIAN K AH0 - S EY1 - B IY0 - AH0 N +KASAGIC K AH0 - S AA1 - G IH0 K +KASAL K EY1 - S AH0 L +KASCH K AE1 SH +KASCHAK K AE1 - SH AH0 K +KASDORF K AE1 S - D AO0 R F +KASE K EY1 Z +KASEL K AE1 - S AH0 L +KASELL K AE1 - S AH0 L +KASEMAN K EY1 S - M AH0 N +KASER K EY1 - Z ER0 +KASESE K AH0 - S IY1 - Z IY0 +KASEY K AE1 - S IY0 +KASH K AE1 SH +KASHIWAGI K AE2 - SH IH0 - W AE1 - G IY0 +KASHIWAHARA K AA2 - SH IY0 - W AH0 - HH AA1 - R AH0 +KASHIWAHARA'S K AA2 - SH IY0 - W AH0 - HH AA1 - R AH0 Z +KASHIYAMA K AA2 - SH IY0 - Y AA1 - M AH0 +KASHMIR K AE1 SH - M IH0 R +KASHMIR(2) K AE1 SH - M IY0 R +KASHMIRI K AE0 SH - M IY1 - R IY0 +KASHNER K AE1 SH - N ER0 +KASHOGGI K AH0 - SH AA1 - JH IY0 +KASHUBA K AH0 - SH UW1 - B AH0 +KASICH K AA1 - S IH0 CH +KASICH'S K AA1 - S IH0 - CH IH0 Z +KASICK K AA1 - S IH0 K +KASIK K AA1 - S IH0 K +KASINGA K AH0 - S IH1 NG - G AH0 +KASINGA'S K AH0 - S IH1 NG - G AH0 Z +KASINGER K AE1 - S IH0 N - JH ER0 +KASKA K AA1 S - K AH0 +KASKE K AE1 S - K IY0 +KASKEL K AE1 S - K AH0 L +KASLER K AE1 - S AH0 - L ER0 +KASLER(2) K AE1 S - L ER0 +KASMER K AE1 - S AH0 - M ER0 +KASMIRA K AH0 S - M AY1 - R AH0 +KASNER K AE1 S - N ER0 +KASPAR K AE1 - S P ER0 +KASPAREK K AE1 - S P ER0 - IH0 K +KASPARIAN K AH0 - S P EH1 - R IY0 - AH0 N +KASPAROV K AE1 - S P ER0 - AA0 V +KASPAROV(2) K AH0 - S P AA1 - R AA2 V +KASPER K AE1 - S P ER0 +KASPEREK K AE1 - S P ER0 - IH0 K +KASPERSKI K AH0 - S P ER1 S - K IY0 +KASPROWICZ K AA1 S - P R AH0 - V IH0 CH +KASPRZAK K AA1 - S P ER0 - Z AH0 K +KASPRZYK K AA1 - S P ER0 - Z IH0 K +KASPUTYS K AE2 - S P Y UW1 - T IH0 S +KASRIEL K AE1 S - R IY0 - AH0 L +KASS K AE1 S +KASSA K AE1 - S AH0 +KASSAB K AE1 - S AH0 B +KASSAN K AE1 - S AH0 N +KASSAR K AE1 - S ER0 +KASSEBAUM K AE1 - S AH0 - B AW2 M +KASSEBAUM'S K AE1 - S AH0 - B AW2 M Z +KASSEBAUM'S(2) K AE1 - S AH0 - B AA2 M Z +KASSEBAUM(2) K AE1 - S AH0 - B AA2 M +KASSEL K AE1 - S AH0 L +KASSEM K AE1 - S AH0 M +KASSEN K AE1 - S AH0 N +KASSIN K AE1 - S IH0 N +KASSING K AE1 - S IH0 NG +KASSIS K AE1 - S IH0 S +KASSLER K AE1 S - L ER0 +KASSNER K AE1 S - N ER0 +KASSON K AE1 - S AH0 N +KAST K AE1 S T +KASTEL K EY1 - S T AH0 L +KASTELIC K AH0 - S T EH1 - L IH0 K +KASTEN K AE1 - S T AH0 N +KASTENMEIER K AE1 - S T AH0 N - M AY2 R +KASTENS K EY1 - S AH0 N Z +KASTER K AE1 - S T ER0 +KASTL K AE1 - S T AH0 L +KASTLE K AE1 - S AH0 L +KASTLER K AE1 S T - L ER0 +KASTNER K AE1 S T - N ER0 +KASUN K AA1 - S UW0 N +KASZA K AA1 - SH AH0 +KASZUBA K AH0 - SH UW1 - B AH0 +KAT K AE1 T +KATAOKA K AA0 - T AA0 - OW1 - K AH0 +KATARINA K AA2 - T ER0 - IY1 - N AH0 +KATARINA'S K AA2 - T ER0 - IY1 - N AH0 Z +KATASHIBA K AE2 - T AH0 - SH IY1 - B AH0 +KATAYAMA K AA0 - T AA0 - Y AA1 - M AH0 +KATAYAN K AA1 - T AH0 - Y AA0 N +KATCHER K AE1 - CH ER0 +KATE K EY1 T +KATE'S K EY1 T S +KATEN K EY1 - T AH0 N +KATER K EY1 - T ER0 +KATES K EY1 T S +KATEY K EY1 - T IY0 +KATH K AE1 TH +KATHA K AE1 - TH AH0 +KATHALENE K AE0 - TH AH0 - L IY1 N +KATHAN K AE1 - TH AH0 N +KATHARINA K AE2 - TH EH0 - R IY1 - N AH0 +KATHARINE K AE1 TH - R IH0 N +KATHERINE K AE1 - TH ER0 - IH0 N +KATHERINE(2) K AE1 TH - R IH0 N +KATHI K AE1 - TH IY0 +KATHIE K AE1 - TH IY0 +KATHLEEN K AE0 TH - L IY1 N +KATHLEEN'S K AE0 TH - L IY1 N Z +KATHLENE K AE1 TH - L IY2 N +KATHLINE K AE1 TH - L AY2 N +KATHMAN K AE1 TH - M AH0 N +KATHRYN K AE1 TH - R IH0 N +KATHY K AE1 - TH IY0 +KATHY'S K AE1 - TH IY0 Z +KATI K EY1 - T IY0 +KATIA K AA1 - T IY0 - AH0 +KATIE K EY1 - T IY0 +KATJA K AA1 - T Y AH0 +KATMANDU K AE2 T - M AE0 N - D UW1 +KATO K EY1 - T OW0 +KATO'S K EY1 - T OW0 Z +KATONA K AA0 - T OW1 - N AH0 +KATRAGADDA K AA2 - T R AH0 - G AA1 - D AH0 +KATRINA K AH0 - T R IY1 - N AH0 +KATS K AE1 T S +KATSANOS K AE2 T - S AA1 - N OW0 S +KATSAROS K AE1 T - S ER0 - OW0 Z +KATSUHIKO K AA2 T - S UW0 - HH IY1 - K OW0 +KATSUMI K AA2 T - S UW1 - M IY0 +KATSUSHI K AE2 T - S UW1 - SH IY0 +KATT K AE1 T +KATTNER K AE1 T - N ER0 +KATUNI K AH0 - T UW1 - N IY0 +KATY K EY1 - T IY0 +KATYA K AA1 - T Y AH0 +KATYDID K EY1 - T IY0 - D IH2 D +KATYN K EY1 - T IH2 N +KATYN(2) K EY1 - T AH0 N +KATYN(3) K AH0 - T IY1 N +KATYUSHA K AH0 - T Y UW1 - SH AH0 +KATYUSHAS K AH0 - T Y UW1 - SH AH0 Z +KATZ K AE1 T S +KATZEN K AE1 T - Z AH0 N +KATZENBACH K AE1 T - S AH0 N - B AA2 K +KATZENBERG K AE1 T - S AH0 N - B ER0 G +KATZENBERG'S K AE1 T - S AH0 N - B ER0 G Z +KATZENBERGER K AE1 T - Z AH0 N - B ER0 - G ER0 +KATZENSTEIN K AE1 T - S AH0 N - S T AY0 N +KATZENSTEIN(2) K AE1 T - S AH0 N - S T IY0 N +KATZER K AE1 T - S ER0 +KATZIN K AE1 T - S IH0 N +KATZMAN K AE1 T S - M AH0 N +KAU K AW1 +KAUAI K AW1 - AY2 +KAUBLE K AO1 - B AH0 L +KAUCHER K AW1 - K ER0 +KAUER K AW1 - ER0 +KAUFER K AO1 - F ER0 +KAUFFMAN K AO1 F - M AH0 N +KAUFFMANN K AO1 F - M AH0 N +KAUFHOF K AO1 F - HH AO0 F +KAUFHOLD K AW1 F - HH OW0 L D +KAUFMAN K AO1 F - M AH0 N +KAUFMAN'S K AO1 F - M AH0 N Z +KAUFMANN K AO1 F - M AH0 N +KAUK K AO1 K +KAUL K AO1 L +KAUNDA K AO1 N - D AH0 +KAUP K AO1 P +KAUPP K AO1 P +KAUPPI K AO1 - P IY0 +KAUS K AO1 Z +KAUSCH K AW1 SH +KAUTH K AO1 TH +KAUTZ K AO1 T S +KAUTZMAN K AW1 T S - M AH0 N +KAUZLARICH K AW1 Z - L ER0 - IH0 K +KAVAN K EY1 - V AH0 N +KAVANAGH K AE1 - V AH0 - N AO2 +KAVANAUGH K AE1 - V AH0 - N AO2 +KAVENEY K AE1 - V IH0 - N IY0 +KAVNER K AE1 V - N ER0 +KAVNER(2) K AO1 V - N ER0 +KAWA K AA1 - W AH0 +KAWAGUCHI K AA2 - W AA0 - G UW1 - CH IY0 +KAWAHARA K AA2 - W AA0 - HH AA1 - R AH0 +KAWAI K AA0 - W AA1 - IY0 +KAWAKAMI K AA2 - W AA0 - K AA1 - M IY0 +KAWAMOTO K AA0 - W AA0 - M OW1 - T OW0 +KAWAMURA K AW2 - AA0 - M UH1 - R AH0 +KAWANO K AA0 - W AA1 - N OW0 +KAWASAKI K AA2 - W AA0 - S AA1 - K IY0 +KAWASHIMA K AA2 - W AA0 - SH IY1 - M AH0 +KAWASMI K AH0 - W AA1 S - M IY0 +KAWATE K AA2 - W AA1 - T EY2 +KAWECKI K AA0 - V EH1 T S - K IY0 +KAWESKE K AA0 - V EH1 S - K IY0 +KAWESKE(2) K AH0 - W EH1 S - K IY0 +KAY K EY1 +KAY'S K EY1 Z +KAYA K AA1 - Y AH0 +KAYAK K AY1 - AE0 K +KAYAKING K AY1 - AE2 - K IH0 NG +KAYAKS K AY1 - AE0 K S +KAYAPO K AY1 - AH0 - P OW2 +KAYDON K EY1 - D AH0 N +KAYE K EY1 +KAYES K EY1 Z +KAYLA K EY1 - L AH0 +KAYLIE K EY1 - L IY0 +KAYLOR K EY1 - L ER0 +KAYLYNN K EY0 - L IH1 N +KAYNE K EY1 N +KAYO K EY0 - OW1 +KAYPRO K EY1 - P R OW0 +KAYS K EY1 Z +KAYSER K EY1 - Z ER0 +KAYSERSBERG K AY1 - Z ER0 Z - B ER0 G +KAYVON K EY1 - V AA0 N +KAZAKH K AE1 - Z AE0 K +KAZAKHS K AE1 - Z AE0 K S +KAZAKHSTAN K AA2 - Z AA0 K - S T AA1 N +KAZAKHSTAN'S K AA2 - Z AA0 K - S T AA1 N Z +KAZAKHSTAN'S(2) K AH0 - Z AE2 K - S T AE1 N Z +KAZAKHSTAN(2) K AH0 - Z AE2 K - S T AE1 N +KAZAN K EY1 - Z AH0 N +KAZANJIAN K AH0 - Z AE1 N - JH IY0 - AH0 N +KAZARIAN K AH0 - Z EH1 - R IY0 - AH0 N +KAZARIAN'S K AH0 - Z EH1 - R IY0 - AH0 N Z +KAZDA K AA1 Z - D AH0 +KAZEE K AA1 - Z IY0 +KAZEMPOUR K AH0 - Z EH1 M - P AW0 R +KAZEN K AE1 - Z AH0 N +KAZIKAEV K AE1 - Z IH0 - K EY2 V +KAZIN K EY1 - Z IH0 N +KAZIS K AE1 - Z IH0 S +KAZLAUSKAS K AE1 Z - L AW0 S - K AH0 Z +KAZMER K AE1 Z - M ER0 +KAZMIERCZAK K AA1 Z - M IH0 R - CH AE0 K +KAZMIERSKI K AH0 Z - M IH1 R - S K IY0 +KAZOO K AH0 - Z UW1 +KAZUHIKO K AA2 - Z UW0 - HH IY1 - K OW0 +KAZUO K AA2 - Z UW1 - OW0 +KCAL K EY1 - K AA0 L +KCOP K EY1 - K AO0 P +KEA K IY1 +KEACH K IY1 CH +KEADLE K IY1 - D AH0 L +KEADY K IY1 - D IY0 +KEAGAN K IY1 - G AH0 N +KEAGLE K IY1 - G AH0 L +KEAGY K IY1 - JH IY0 +KEAHEY K IY1 - HH IY0 +KEAL K IY1 L +KEALEY K IY1 - L IY0 +KEALY K IY1 - L IY0 +KEAN K IY1 N +KEAN'S K IY1 N Z +KEANE K IY1 N +KEANEY K IY1 - N IY0 +KEANU K IY0 - AA1 - N UW0 +KEANU(2) K EY0 - AA1 - N UW0 +KEAR K IH1 R +KEARBY K ER1 - B IY0 +KEARFOTT K IH1 R - F AA0 T +KEARLEY K ER1 - L IY0 +KEARN K ER1 N +KEARNEY K ER1 - N IY0 +KEARNEY'S K ER1 - N IY0 Z +KEARNS K ER1 N Z +KEARNY K ER1 - N IY0 +KEARSARGE K IY1 R - S AA0 R JH +KEARSE K ER1 S +KEARY K IH1 - R IY0 +KEAS K IY1 Z +KEASLER K IY1 Z - L ER0 +KEASLING K IY1 Z - L IH0 NG +KEAST K IY1 S T +KEATH K IY1 TH +KEATHLEY K IY1 TH - L IY0 +KEATHLEY'S K IY1 TH - L IY0 Z +KEATING K IY1 - T IH0 NG +KEATING'S K IY1 - T IH0 NG Z +KEATLEY K IY1 T - L IY0 +KEATON K IY1 - T AH0 N +KEATOR K IY1 - T ER0 +KEATS K IY1 T S +KEATTS K IY1 T S +KEAVENEY K IY1 - V IH0 - N IY0 +KEAVENY K IY1 - V IH0 - N IY0 +KEAY K IY1 - IY0 +KEBAB-N-KURRY K IH0 - B AA1 - B AH0 N - K ER1 - IY0 +KECK K EH1 K +KECKLER K EH1 K - L ER0 +KEDAR K IY1 - D ER0 +KEDDY K EH1 - D IY0 +KEDO K EH1 - D OW0 +KEDROWSKI K IH0 D - R AO1 F S - K IY0 +KEDS K EH1 D Z +KEDZIERSKI K IH0 - JH IH1 R S - K IY0 +KEE K IY1 +KEE'S K IY1 Z +KEEBLE K IY1 - B AH0 L +KEEBLER K IY1 - B L ER0 +KEECH K IY1 CH +KEEDY K IY1 - D IY0 +KEEF K IY1 F +KEEFE K IY1 F +KEEFER K IY1 - F ER0 +KEEFFE K IY1 F +KEEGALI K IY2 - G AA1 - L IY0 +KEEGALI'S K IY2 - G AA1 - L IY0 Z +KEEGAN K IY1 - G AH0 N +KEEHAN K IY1 - AH0 N +KEEHN K IY1 N +KEEHNER K IY1 - N ER0 +KEEL K IY1 L +KEELAN K IY1 - L AH0 N +KEELE K IY1 L +KEELER K IY1 - L ER0 +KEELEY K IY1 - L IY0 +KEELIN K IY1 - L IH0 N +KEELING K IY1 - L IH0 NG +KEELS K IY1 L Z +KEELSON K EH1 L - S AH0 N +KEELY K IY1 - L IY0 +KEEN K IY1 N +KEENA K IY1 - N AH0 +KEENAN K IY1 - N AH0 N +KEENE K IY1 N +KEENELAND K IY1 - N AH0 - L AH0 N D +KEENER K IY1 - N ER0 +KEENEST K IY1 - N AH0 S T +KEENEY K IY1 - N IY0 +KEENLY K IY1 N - L IY0 +KEENUM K IY1 - N AH0 M +KEENY K IY1 - N IY0 +KEEP K IY1 P +KEEPER K IY1 - P ER0 +KEEPERS K IY1 - P ER0 Z +KEEPING K IY1 - P IH0 NG +KEEPS K IY1 P S +KEEPSAKE K IY1 P - S EY2 K +KEEPSAKES K IY1 P - S EY2 K S +KEERAN K IH1 - R AH0 N +KEES K IY1 Z +KEESE K IY1 Z +KEESEE K IY0 - S IY1 +KEESEY K IY1 - S IY0 +KEESLER K IY1 Z - L ER0 +KEESLING K IY1 Z - L IH0 NG +KEETCH K IY1 CH +KEETER K IY1 - T ER0 +KEETH K IY1 TH +KEETON K IY1 - T AH0 N +KEEVER K IY1 - V ER0 +KEEVIL K IY1 - V AH0 L +KEEZER K IY1 - Z ER0 +KEFAUVER K EH1 - F AW0 - V ER0 +KEFFER K EH1 - F ER0 +KEG K EH1 G +KEGEL K EH1 - JH AH0 L +KEGG K EH1 G +KEGLER K EH1 G - L ER0 +KEGLEY K EH1 G - L IY0 +KEGS K EH1 G Z +KEHL K EH1 L +KEHLER K EH1 - L ER0 +KEHM K EH1 M +KEHN K EH1 N +KEHNE K EH1 N +KEHOE K EH1 - HH OW0 +KEHR K EH1 R +KEHRER K EH1 - R ER0 +KEHRES K EH1 R Z +KEICHER K AY1 - K ER0 +KEIDANREN K AY2 - D AE1 - N R AH0 N +KEIDEL K AY1 - D AH0 L +KEIFER K IY1 - F ER0 +KEIFFER K IY1 - F ER0 +KEIGLEY K IY1 G - L IY0 +KEIICHI K EY2 - IY1 - CH IY0 +KEIJI K IY1 - JH IY0 +KEIKO K EY1 - K OW0 +KEIL K IY1 L +KEILLOR K IY1 - L ER0 +KEILLOR'S K IY1 - L ER0 Z +KEILMAN K AY1 L - M AH0 N +KEIM K IY1 M +KEIMIG K IY1 - M IH0 G +KEINATH K AY1 - N AH0 TH +KEINER K IY1 - N ER0 +KEIO K EY1 - OW0 +KEIPER K IY1 - P ER0 +KEIR K IY1 R +KEIRETSU K IH2 - R EH1 T - S UW0 +KEIRN K IH1 R N +KEIRNS K AY1 R N Z +KEIRSEY K IH1 R - S IY0 +KEISEI K AY1 - S EY2 +KEISER K AY1 - S ER0 +KEISLER K AY1 - S AH0 - L ER0 +KEISLER(2) K AY1 S - L ER0 +KEISLING K AY1 - S AH0 - L IH0 NG +KEISLING(2) K AY1 - S L IH0 NG +KEISTER K IY1 - IH0 - S T ER0 +KEISUKE K EY2 - S UW1 - K IY0 +KEITEL K AY1 - T AH0 L +KEITER K IY1 - T ER0 +KEITH K IY1 TH +KEITH'S K IY1 TH S +KEITHLEY K IY1 TH - L IY0 +KEITHLY K IY1 TH - L IY0 +KEITT K IY1 T +KEITZ K IY1 T S +KEIZAI K IY1 - Z EY0 +KEIZER K AY1 - Z ER0 +KEIZER(2) K IY1 - Z ER0 +KEKST K EH1 K S T +KELBAUGH K EH1 L - B AO2 +KELBER K EH1 L - B ER0 +KELBERG K EH1 L - B ER0 G +KELBERG'S K EH1 L - B ER0 G Z +KELBY K EH1 L - B IY0 +KELCEY K EH1 L - S IY0 +KELCH K EH1 L CH +KELCHNER K EH1 L K - N ER0 +KELDA K EH1 L - D AH0 +KELDER K EH1 L - D ER0 +KELEHER K EH1 - L IH0 - HH ER0 +KELEMAN K IY1 L - M AH0 N +KELEMEN K IY1 L - M EH0 N +KELKER K EH1 L - K ER0 +KELL K EH1 L +KELLAM K EH1 - L AH0 M +KELLAMS K EH1 - L AH0 M Z +KELLAN K EH1 - L AH0 N +KELLAR K EH1 - L ER0 +KELLEHER K EH1 - L IH0 - HH ER0 +KELLEMS K EH1 - L IH0 M Z +KELLEN K EH1 - L AH0 N +KELLENBERGER K EH1 - L AH0 N - B ER0 - G ER0 +KELLENYI K EH2 - L EH1 - N Y IY0 +KELLER K EH1 - L ER0 +KELLER'S K EH1 - L ER0 Z +KELLERMAN K EH1 - L ER0 - M AH0 N +KELLERMANN K EH1 - L ER0 - M AH0 N +KELLETT K EH1 - L IH0 T +KELLEY K EH1 - L IY0 +KELLEY'S K EH1 - L IY0 Z +KELLEY(2) OW0 - K EH1 - L IY0 +KELLI K EH1 - L IY0 +KELLI'S K EH1 - L IY0 Z +KELLIHER K EH1 - L IH0 - HH ER0 +KELLING K EH1 - L IH0 NG +KELLIS K EH1 - L IH0 S +KELLISON K EH1 - L IH0 - S AH0 N +KELLMAN K EH1 L - M AH0 N +KELLNER K EH1 L - N ER0 +KELLOGG K EH1 - L AO0 G +KELLOGG'S K EH1 - L AO0 G Z +KELLOGGS K EH1 - L AO0 G Z +KELLOUGH K EH1 - L AW0 +KELLOW K EH1 - L OW0 +KELLS K EH1 L Z +KELLUM K EH1 - L AH0 M +KELLWOOD K EH1 L - W UH2 D +KELLY K EH1 - L IY0 +KELLY'S K EH1 - L IY0 Z +KELLYANNE K EH1 - L IY0 - AE1 N +KELLYS K EH1 - L IY0 Z +KELM K EH1 L M +KELMAN K EH1 L - M AH0 N +KELNER K EH1 L - N ER0 +KELNHOFER K EH1 L N - HH AH0 - F ER0 +KELP K EH1 L P +KELPS K EH1 L P S +KELSALL K EH1 L - S AH0 L +KELSAY K EH1 L - S EY0 +KELSCH K EH1 L SH +KELSEY K EH1 L - S IY0 +KELSO K EH1 L - S OW0 +KELSO'S K EH1 L - S OW0 Z +KELSOE K EH1 L - S OW0 +KELSON K EH1 L - S AH0 N +KELTER K EH1 L - T ER0 +KELTING K EH1 L - T IH0 NG +KELTNER K EH1 L T - N ER0 +KELTON K EH1 L - T AH0 N +KELTY K EH1 L - T IY0 +KELTZ K EH1 L T S +KELVAN K EH1 L - V AH0 N +KELVEN K EH1 L - V AH0 N +KELVIN K EH1 L - V AH0 N +KELVIN'S K EH1 L - V IH0 N Z +KELVIN(2) K EH1 L - V IH0 N +KEM K EH1 M +KEMAL K AH0 - M AA1 L +KEMBEL K EH1 M - B AH0 L +KEMBLE K EH1 M - B AH0 L +KEMENY K EH1 - M IH0 - N IY0 +KEMERER K EH1 - M ER0 - ER0 +KEMERY K EH1 - M ER0 - IY0 +KEMLER K EH1 M - L ER0 +KEMMER K EH1 - M ER0 +KEMMERER K EH1 - M ER0 - ER0 +KEMMERLING K EH1 - M ER0 - L IH0 NG +KEMMONS K EH1 - M AH0 N Z +KEMNER K EH1 M - N ER0 +KEMNITZ K EH1 M - N IH0 T S +KEMP K EH1 M P +KEMP'S K EH1 M P S +KEMPA K EH1 M - P AH0 +KEMPE K EH1 M P +KEMPEL K EH1 M - P AH0 L +KEMPEN K EH1 M - P AH0 N +KEMPER K EH1 M - P ER0 +KEMPER'S K EH1 M - P ER0 Z +KEMPF K EH1 M P F +KEMPFER K EH1 M P - F ER0 +KEMPKE K EH1 M P K +KEMPKER K EH1 M P - K ER0 +KEMPLE K EH1 M - P AH0 L +KEMPLER K EH1 M - P L ER0 +KEMPLIN K EH1 M - P L IH0 N +KEMPNER K EH1 M P - N ER0 +KEMPPAINEN K EH1 M - P AY0 - N AH0 N +KEMPSKI K EH1 M P - S K IY0 +KEMPSON K EH1 M P - S AH0 N +KEMPSTER K EH1 M P - S T ER0 +KEMPTHORNE K EH1 M P - TH AO0 R N +KEMPTON K EH1 M P - T AH0 N +KEMRON K EH1 M - R AH0 N +KEN K EH1 N +KEN'S K EH1 N Z +KENAF K EH1 - N AE0 F +KENAGY K EH1 - N AH0 - JH IY0 +KENAN K IY1 - N AH0 N +KENDAL K EH1 N - D AH0 L +KENDALL K EH1 N - D AH0 L +KENDALL'S K EH1 N - D AH0 L Z +KENDAVIS K EH1 N - D EY1 - V IH0 S +KENDELL K EH1 N - D AH0 L +KENDER K EH1 N - D ER0 +KENDIG K EH1 N - D IH0 G +KENDLE K EH1 N - D AH0 L +KENDRA K EH1 N - D R AH0 +KENDRICK K EH1 N - D R IH0 K +KENDRICKS K EH1 N - D R IH0 K S +KENDZIERSKI K IH0 N - JH IH1 R - S K IY0 +KENDZIOR K IH0 N - JH IY1 - ER0 +KENEALY K EH1 - N IY0 - AH0 - L IY0 +KENEER K AH0 - N IY1 R +KENEFICK K EH1 - N IH0 - F IH0 K +KENERSON K EH1 - N ER0 - S AH0 N +KENESSET K EH0 - N EH1 - S EH0 T +KENESSET(2) K N EH1 - S EH0 T +KENETECH K EH1 - N IH0 - T EH0 K +KENFIELD K EH1 N - F IY2 L D +KENICHI K EH2 - N IY1 - CH IY0 +KENILWORTH K EH1 - N AH0 L - W ER2 TH +KENISON K EH1 - N IH0 - S AH0 N +KENISTON K EH1 - N IH0 - S T AA0 N +KENJI K EH1 N - JH IY0 +KENKEL K EH1 NG - K AH0 L +KENLEY K EH1 N - L IY0 +KENMARE K EH2 N - M EH1 R +KENMORE K EH1 N - M AO2 R +KENN K EH1 N +KENNA K EH1 - N AH0 +KENNAMER K EH1 - N AH0 - M ER0 +KENNAMETAL K EH1 - N AH0 - M EH2 - T AH0 L +KENNAN K EH1 - N AH0 N +KENNARD K EH1 - N ER0 D +KENNEALLY K EH1 - N AH0 - L IY0 +KENNEBECK K EH1 N - B EH0 K +KENNEBREW K EH1 - N IH0 - B R UW0 +KENNEBUNKPORT K EH2 - N AH0 - B AH1 NG K - P AO2 R T +KENNECOTT K EH1 - N AH0 - K AA2 T +KENNEDY K EH1 - N AH0 - D IY0 +KENNEDY'S K EH1 - N AH0 - D IY0 Z +KENNEDYS K EH1 - N AH0 - D IY0 Z +KENNEDYS' K EH1 - N AH0 - D IY0 Z +KENNEL K EH1 - N AH0 L +KENNELL K EH1 - N AH0 L +KENNELLY K EH1 - N AH0 - L IY0 +KENNELS K EH1 - N AH0 L Z +KENNEMER K EH1 - N IY0 - M ER0 +KENNEMORE K EH1 N - M AO0 R +KENNER K EH1 - N ER0 +KENNER'S K EH1 - N ER0 Z +KENNERLY K EH1 - N ER0 - L IY0 +KENNERSON K EH1 - N ER0 - S AH0 N +KENNESAW K EH1 - N AH0 - S AO2 +KENNETH K EH1 - N IH0 TH +KENNETT K EH1 - N AH0 T +KENNEY K EH1 - N IY0 +KENNING K EH1 - N IH0 NG +KENNINGTON K EH1 - N IH0 NG - T AH0 N +KENNISON K EH1 - N IH0 - S AH0 N +KENNON K EH1 - N AH0 N +KENNY K EH1 - N IY0 +KENO K IY1 - N OW0 +KENOSHA K IH0 - N OW1 - SH AH0 +KENOYER K EH1 - N OY0 - ER0 +KENRICK K EH1 N - R IH0 K +KENSINGER K EH1 N - S IH0 N - JH ER0 +KENSINGTON K EH1 N - Z IH0 NG - T AH0 N +KENSLER K EH1 N - S AH0 - L ER0 +KENSLER(2) K EH1 N - S L ER0 +KENT K EH1 N T +KENT'S K EH1 N T S +KENTE K EH1 N - T EY0 +KENTNER K EH1 N T - N ER0 +KENTON K EH1 N - T AH0 N +KENTUCKIAN K EH2 N - T AH1 - K IY0 - AH0 N +KENTUCKIANS K EH2 N - T AH1 - K IY0 - AH0 N Z +KENTUCKY K AH0 N - T AH1 - K IY0 +KENTUCKY'S K AH0 N - T AH1 - K IY0 Z +KENWARD K EH1 N - W ER0 D +KENWAY K EH1 N - W EY2 +KENWOOD K EH1 N - W UH2 D +KENWORTH K EH1 N - W ER2 TH +KENWORTHY K EH1 N - W ER2 - DH IY0 +KENYA K EH1 - N Y AH0 +KENYA'S K EH1 - N Y AH0 Z +KENYA'S(2) K IY1 - N Y AH0 Z +KENYA(2) K IY1 - N Y AH0 +KENYAN K EH1 - N Y AH0 N +KENYAN(2) K IY1 - N Y AH0 N +KENYANS K EH1 - N Y AH0 N Z +KENYANS(2) K IY1 - N Y AH0 N Z +KENYEN K EH1 - N Y AH0 N +KENYON K EH1 - N Y AH0 N +KENZIE K EH1 N - Z IY0 +KENZO K EH1 N - Z OW0 +KEO K IY1 - OW0 +KEOGH K IY1 - OW0 +KEOGH(2) K IY1 - AW0 G +KEOHANE K IY1 - AH0 - HH EY2 N +KEOKUK K IY1 - OW0 - K AH0 K +KEOKUK(2) K IY1 - OW0 - K UH0 K +KEOUGH K IY1 - OW0 +KEOUGH(2) K IY1 - AW0 G +KEOWN K IY1 - OW0 N +KEPCO K EH1 P - K OW0 +KEPHART K EH1 - F AA0 R T +KEPLER K EH1 P - L ER0 +KEPLEY K EH1 P - L IY0 +KEPLINGER K EH1 - P AH0 L - IH0 - NG ER0 +KEPLINGER(2) K EH1 P - L IH0 - NG ER0 +KEPNER K EH1 P - N ER0 +KEPP K EH1 P +KEPPEL K EH1 - P AH0 L +KEPPLE K EH1 - P AH0 L +KEPPLER K EH1 P - L ER0 +KEPT K EH1 P T +KEPT(2) K AE1 P T +KER K ER1 +KERA K EH1 - R AH0 +KERALA K EH2 - R AA1 - L AH0 +KERANEN K EH1 - R AH0 - N AH0 N +KERATIN K EH1 - R AH0 - T AH0 N +KERATIN(2) K EH1 - R AH0 - T IH0 N +KERATOTOMY K EH2 - R AH0 - T AO1 - T AH0 - M IY0 +KERB K ER1 B +KERBEL K ER1 - B AH0 L +KERBER K ER1 - B ER0 +KERBOW K ER1 - B OW0 +KERBS K ER1 B Z +KERBY K ER1 - B IY0 +KERCE K ER1 S +KERCHER K ER1 - K ER0 +KERCHEVAL K ER1 - CH IH0 - V AH0 L +KERCHIEF K ER1 - CH AH0 F +KERCHIEFS K ER1 - CH AH0 F S +KERCHNER K ER1 K - N ER0 +KEREKES K EH1 - R IH0 K S +KERESTES K EH1 - R IH0 S T S +KERESZTES K EH1 - R AH0 - S T IY0 Z +KERFOOT K ER1 - F UH0 T +KERFUFFLE K ER0 - F AH1 - F AH0 L +KERIEN K EH1 - R IY0 - AH0 N +KERIN K EH1 - R IH0 N +KERINS K EH1 - R IH0 N Z +KERKER K ER1 - K ER0 +KERKHOFF K ER1 K - HH AO0 F +KERKMAN K ER1 K - M AH0 N +KERKORIAN K ER0 - K AO1 - R IY0 - AH0 N +KERKORIAN'S K ER0 - K AO1 - R IY0 - AH0 N Z +KERL K ER1 L +KERLEY K ER1 - L IY0 +KERLIN K ER1 - L IH0 N +KERMAN K ER1 - M AH0 N +KERMIT K ER1 - M IH0 T +KERN K ER1 N +KERN'S K ER1 N Z +KERNAGHAN K ER0 - N AE1 G - HH AH0 N +KERNAN K ER1 - N AH0 N +KERNEL K ER1 - N AH0 L +KERNELS K ER1 - N AH0 L Z +KERNEN K ER1 - N AH0 N +KERNER K ER1 - N ER0 +KERNES K ER1 N Z +KERNEY K ER1 - N IY0 +KERNIGAN K ER1 - N AH0 - G AH0 N +KERNITE K ER1 - N AY0 T +KERNODLE K ER1 - N OW0 - D AH0 L +KERNS K ER1 N Z +KEROSENE K EH1 - R AH0 - S IY2 N +KEROUAC K EH1 - R UW0 - AE0 K +KERPEDJIEV K ER0 - P EH1 - JH IY0 - EH2 V +KERPER K ER1 - P ER0 +KERR K ER1 +KERREY K EH1 - R IY0 +KERREY'S K EH1 - R IY0 Z +KERRI K EH1 - R IY0 +KERRICK K EH1 - R IH0 K +KERRIDGE K EH1 - R IH0 JH +KERRIGAN K EH1 - R IH0 - G AH0 N +KERRIGAN'S K EH1 - R IH0 - G AH0 N Z +KERRVILLE K ER1 - V IH2 L +KERRY K EH1 - R IY0 +KERRY'S K EH1 - R IY0 Z +KERSCH K ER1 SH +KERSCHER K ER1 - SH ER0 +KERSCHNER K ER1 SH - N ER0 +KERSEE K ER1 - S IY0 +KERSEY K ER1 - S IY0 +KERSH K ER1 SH +KERSHAW K ER1 - SH AA2 +KERSHNER K ER1 SH - N ER0 +KERST K ER1 S T +KERSTEIN K ER1 - S T AY0 N +KERSTEIN(2) K ER1 - S T IY0 N +KERSTEN K ER1 - S T AH0 N +KERSTETTER K ER1 - S T IH0 - T ER0 +KERSTING K ER1 - S T IH0 NG +KERTESZ K ER1 - T IH0 SH +KERTH K ER1 TH +KERTZ K ER1 T S +KERVIN K ER1 - V IH0 N +KERVORKIAN K ER0 - V AO1 R - K IY0 - AH0 N +KERVORKIAN(2) K ER0 - V AO1 R - K Y AH0 N +KERWEN K ER1 - W AH0 N +KERWIN K ER1 - W IH0 N +KERWOOD K ER1 - W UH0 D +KERZNER K ER1 Z - N ER0 +KESEL K EH1 - S AH0 L +KESHISHIAN K IH0 - SH IH1 - SH IY0 - AH0 N +KESINGER K EH1 - S IH0 - NG ER0 +KESKE K EH1 S K +KESLAR K EH1 S - L ER0 +KESLER K EH1 - S AH0 - L ER0 +KESLER(2) K EH1 S - L ER0 +KESLING K EH1 - S AH0 L - IH0 NG +KESLING(2) K EH1 - S L IH0 NG +KESNER K EH1 S - N ER0 +KESS K EH1 S +KESSEL K EH1 - S AH0 L +KESSELL K EH1 - S AH0 L +KESSELMAN K EH1 - S AH0 L - M AH0 N +KESSELRING K EH1 - S IH0 - L R IH0 NG +KESSEN K EH1 - S AH0 N +KESSENICH K EH1 - S IH0 - N IH0 K +KESSINGER K EH1 - S IH0 - NG ER0 +KESSLE K EH1 - S AH0 L +KESSLER K EH1 S - L ER0 +KESSLER'S K EH1 S - L ER0 Z +KESSNER K EH1 S - N ER0 +KESTEL K EH1 - S T AH0 L +KESTEN K EH1 - S AH0 N +KESTENBAUM K EH1 - S AH0 N - B AW0 M +KESTER K EH1 - S T ER0 +KESTERSON K EH1 - S T ER0 - S AH0 N +KESTING K EH1 - S T IH0 NG +KESTLER K EH1 S T - L ER0 +KESTLER'S K EH1 S T - L ER0 Z +KESTNER K EH1 S T - N ER0 +KESTRELS K EH1 S - T R AH0 L Z +KESWICK K EH1 S - W IH2 K +KETCH K EH1 CH +KETCHAM K EH1 - CH AH0 M +KETCHEM K EH1 - CH IH0 M +KETCHEN K EH1 - CH AH0 N +KETCHER K EH1 - CH ER0 +KETCHERSIDE K EH1 - CH ER0 - S AY2 D +KETCHIE K EH1 - CH IY0 +KETCHIKAN K EH1 - CH IH0 - K AE0 N +KETCHLEDGE K EH1 CH - L EH2 JH +KETCHUM K EH1 - CH AH0 M +KETCHUP K EH1 - CH AH0 P +KETELHUT K EH1 - T IH0 L - HH AH0 T +KETELSEN K EH1 - T IH0 L - S AH0 N +KETEMA K EH2 - T EY1 - M AH0 +KETEYIAN K AH0 - T EY1 - AH0 N +KETEYIAN'S K AH0 - T EY1 - AH0 N Z +KETLER K EH1 T - L ER0 +KETNER K EH1 T - N ER0 +KETNEY K EH1 T - N IY0 +KETO K EY1 - T OW0 +KETOLA K EH1 - T AH0 - L AH0 +KETONE K IY1 - T OW0 N +KETOU K AH0 - T UW1 +KETRON K EH1 - T R AH0 N +KETT K EH1 T +KETTELL K EH1 - T AH0 L +KETTER K EH1 - T ER0 +KETTERER K EH1 - T ER0 - ER0 +KETTERING K EH1 - T ER0 - IH0 NG +KETTERLING K EH1 - T ER0 - L IH0 NG +KETTERMAN K EH1 - T ER0 - M AH0 N +KETTI K EH1 - T IY0 +KETTLE K EH1 - T AH0 L +KETTLER K EH1 - T AH0 L - ER0 +KETTLER(2) K EH1 T - L ER0 +KETTLES K EH1 - T AH0 L Z +KETTLEWELL K EH1 - T AH0 L - W EH2 L +KETTNER K EH1 T - N ER0 +KETURA K EH1 - T UH0 - R AH0 +KETZ K EH1 T S +KETZEL K EH1 T - S AH0 L +KETZEL'S K EH1 T - S AH0 L Z +KEUNE K Y UW1 N +KEVAN K EH1 - V AH0 N +KEVEN K IY1 - V AH0 N +KEVER K EH1 - V ER0 +KEVEX K EH1 - V AH0 K S +KEVILLE K IY1 - V IH0 L +KEVIN K EH1 - V IH0 N +KEVIN'S K EH1 - V IH0 N Z +KEVLAR K EH1 V - L ER0 +KEVLIN K EH1 V - L IH0 N +KEVORKIAN K AH0 - V AO1 R - K IY0 - AH0 N +KEVORKIAN'S K AH0 - V AO1 R - K IY0 - AH0 N Z +KEW K Y UW1 +KEWAUNEE K Y UW0 - AO1 - N IY0 +KEWLEY K Y UW1 - L IY0 +KEY K IY1 +KEY'S K IY1 Z +KEYBOARD K IY1 - B AO2 R D +KEYBOARDS K IY1 - B AO2 R D Z +KEYCORP K IY1 - K AO0 R P +KEYCORP'S K IY1 - K AO0 R P S +KEYE K AY1 +KEYED K IY1 D +KEYES K IY1 Z +KEYES' K IY1 Z +KEYHOLE K IY1 - HH OW2 L +KEYING K IY1 - IH0 NG +KEYLESS K IY1 - L AH0 S +KEYLON K EY1 - L AH0 N +KEYNES K EY1 N Z +KEYNESIAN K EY1 N - Z IY0 - AH0 N +KEYNESIANS K EY1 N - Z IY0 - AH0 N Z +KEYNOTE K IY1 - N OW2 T +KEYPAD K IY1 - P AE2 D +KEYPAD'S K IY1 - P AE2 D Z +KEYPADS K IY1 - P AE2 D Z +KEYS K IY1 Z +KEYSER K AY1 - Z ER0 +KEYSOR K IY1 - S ER0 +KEYSTONE K IY1 - S T OW2 N +KEYSTONE'S K IY1 - S T OW2 N Z +KEYSTROKE K IY1 - S T R OW2 K +KEYSTROKES K IY1 S - T R OW2 K S +KEYTON K IY1 - T AH0 N +KEYWORD K IY1 - W ER2 D +KEYWORDS K IY1 - W ER2 D Z +KEYWORTH K IY1 - W ER2 TH +KEZIAH K AH0 - Z IY1 - AH0 +KGANAKGA K AH0 - G AH0 - N AE1 - G AH0 +KGORI K AH0 - G AO1 - R IY0 +KHABAROVSK K AE2 - B ER0 - AA1 F S K +KHAD K AE1 D +KHAKI K AA1 - K IY0 +KHAKI(2) K AE1 - K IY0 +KHAKIS K AE1 - K IY0 Z +KHALAF K AE1 - L AH0 F +KHALID K AA1 - L IH0 D +KHALID'S K AA1 - L IH0 D Z +KHALIFA K AH0 - L IY1 - F AH0 +KHALIL K AE1 - L AH0 L +KHALSA K AA1 L - S AH0 +KHAMENEI K AH0 - M EY1 - N IY2 +KHAN K AA1 N +KHAN'S K AA1 N Z +KHANATE K AA1 - N EY0 T +KHANNA K AE1 - N AH0 +KHARG K AA1 R G +KHARTOUM K AA2 R - T UW1 M +KHASBULATOV K AA2 S - B AH0 - L AA1 - T AA0 F +KHASBULATOV'S K AA2 S - B AH0 - L AA1 - T AA0 F S +KHASHOGGI K AH0 - SH AA1 - JH IY0 +KHAT K AA1 T +KHE K IY1 +KHE(2) K EY1 +KHE(3) K EY1 - EH1 - CH IY1 +KHEEL K IY1 L +KHEM K EH1 M +KHLEBNIKOV K L EH1 B - N IH0 - K AA2 V +KHLEBNIKOV'S K L EH1 B - N IH0 - K AA2 V Z +KHMER K M EH1 R +KHOMEINI K OW0 - M EY1 - N IY0 +KHOMEINI'S HH OW0 - M EY1 - N IY0 Z +KHOMEINI'S(2) K OW0 - M EY1 - N IY0 Z +KHOMEINI(2) HH OW0 - M EY1 - N IY0 +KHOO K UW1 +KHOSLA K AO1 S - L AH0 +KHOST K OW1 S T +KHOURI K AW1 - R IY0 +KHOURY K AW1 - R IY0 +KHRUSHCHEV K R UW1 S - CH EH2 V +KHRUSHCHEV'S K R UW1 S - CH EH2 V Z +KHRUSHCHEV'S(2) K R UW1 S - CH AO2 F S +KHRUSHCHEV(2) K R UW1 S - CH AO2 F +KHUFU K UW1 - F UW2 +KHUMALO K Y UW0 - M AA1 - L OW0 +KHUU K UW1 +KI K IY1 +KIA K IY1 - ER0 +KIAM K IY1 - AH0 M +KIAWAH K AY1 - AH0 - W AH0 +KIAWAH(2) K IY1 - AH0 - W AH2 +KIBBE K IH1 B +KIBBEE K IH1 - B IY2 +KIBBEL K IH1 - B AH0 L +KIBBEY K IH1 - B IY0 +KIBBLE K IH1 - B AH0 L +KIBBUTZ K IH0 - B UH1 T S +KIBBUTZIM K IH2 - B UH0 - T S IH1 M +KIBBUTZNIKS K IH0 - B UH1 T S - N IH0 K S +KIBBY K IH1 - B IY0 +KIBEHO K IH1 - B AH0 - HH OW0 +KIBELL K IH1 - B AH0 L +KIBLER K AO1 - B AH0 L - ER0 +KIBLER(2) K IH1 - B L ER0 +KIBODEAUX K IH1 - B AH0 - D OW0 +KIBUMBA K IH0 - B AH1 M - B AH0 +KICHLINE K IH1 - K L AY2 N +KICK K IH1 K +KICKBACK K IH1 K - B AE2 K +KICKBACKS K IH1 K - B AE2 K S +KICKED K IH1 K T +KICKER K IH1 - K ER0 +KICKERS K IH1 - K ER0 Z +KICKING K IH1 - K IH0 NG +KICKLIGHTER K IH1 K - L AY2 - T ER0 +KICKOFF K IH1 K - AO2 F +KICKS K IH1 K S +KID K IH1 D +KID'S K IH1 D Z +KIDA K IY1 - D AH0 +KIDD K IH1 D +KIDDE K IH1 D +KIDDED K IH1 - D IH0 D +KIDDER K IH1 - D ER0 +KIDDER'S K IH1 - D ER0 Z +KIDDIE K IH1 - D IY0 +KIDDIES K IH1 - D IY0 Z +KIDDING K IH1 - D IH0 NG +KIDDINGLY K IH1 - D IH0 NG - L IY0 +KIDDY K IH1 - D IY0 +KIDMAN K IH1 D - M AH0 N +KIDNAP K IH1 D - N AE2 P +KIDNAPED K IH1 D - N AE2 P T +KIDNAPING K IH1 D - N AE2 - P IH0 NG +KIDNAPPED K IH1 D - N AE2 P T +KIDNAPPER K IH1 D - N AE2 - P ER0 +KIDNAPPERS K IH1 D - N AE2 - P ER0 Z +KIDNAPPING K IH1 D - N AE2 - P IH0 NG +KIDNAPPINGS K IH1 D - N AE2 - P IH0 NG Z +KIDNAPS K IH1 D - N AE2 P S +KIDNEY K IH1 D - N IY0 +KIDNEYS K IH1 D - N IY0 Z +KIDO K IY1 - D OW0 +KIDS K IH1 D Z +KIDS' K IH1 D Z +KIDSTOCK K IH1 D - S T AA2 K +KIDWA K IH1 D - W AH0 +KIDWELL K IH1 D - W EH2 L +KIECHL K IY1 - CH AH0 L +KIECHL(2) K AY1 - CH AH0 L +KIECKER K IY1 - K ER0 +KIEDROWSKI K IY0 - D R AO1 F S - K IY0 +KIEF K IY1 F +KIEFER K IY1 - F ER0 +KIEFFER K IY1 - F ER0 +KIEFT K IY1 F T +KIEHL K IY1 L +KIEHN K IY1 N +KIEHNE K IY1 N +KIEL K IY1 L +KIELAR K IY1 - L ER0 +KIELB K IY1 L B +KIELBASA K IY0 L - B AA1 - S AH0 +KIELER K IY1 - L ER0 +KIELLEY K IY1 - L IY0 +KIELMAN K IY1 L - M AH0 N +KIELTY K IY1 L - T IY0 +KIELY K IY1 - L IY0 +KIENAN K IY1 - N AH0 N +KIENAST K IY1 - N AH0 S T +KIENE K IY1 N +KIENER K IY1 - N ER0 +KIENINGER K IY1 - N IH0 - NG ER0 +KIENITZ K IY1 - N IH0 T S +KIENLE K IY1 - N AH0 L +KIENTZ K IY1 N T S +KIENZLE K IY1 N - Z AH0 L +KIEPER K IY1 - P ER0 +KIER K IH1 R +KIERAN K IY1 - R AH0 N +KIERNAN K IH1 R - N AH0 N +KIERSCHT K IH1 R SH T +KIERSTEAD K IH1 R - S T EH0 D +KIERULFF K IY1 - R AH0 L F +KIES K AY1 S +KIESCHNICK K IY1 SH - N IH0 K +KIESEL K IY1 - S AH0 L +KIESELMANN K IY1 - Z AH0 L - M AH0 N +KIESER K IY1 - S ER0 +KIESEWETTER K IY1 - S UW0 - IH0 - T ER0 +KIESLER K IY1 Z - L ER0 +KIESLING K IY1 Z - L IH0 NG +KIESOW K IY1 - S OW0 +KIESS K IY1 S +KIESSLING K IY1 - S L IH0 NG +KIESTER K AY1 - IH0 - S T ER0 +KIETZMAN K IY1 T S - M AH0 N +KIEV K IY2 - EH1 V +KIEV'S K IY2 - EH1 V Z +KIEVAN K IY1 - V AH0 N +KIEVIT K IY1 - V IH0 T +KIEWIT K IY1 - W IH0 T +KIFER K AY1 - F ER0 +KIFF K IH1 F +KIGALE K IY0 - G AA1 - L IY0 +KIGALE'S K IY0 - G AA1 - L IY0 Z +KIGALI K IY0 - G AA1 - L IY0 +KIGALI'S K IY0 - G AA1 - L IY0 Z +KIGER K AY1 - G ER0 +KIGGINS K IH1 - G IH0 N Z +KIGHT K AY1 T +KIGHTLINGER K AY1 - T AH0 L - IH0 - NG ER0 +KIGHTLINGER(2) K AY1 T - L IH0 - NG ER0 +KIHN K IH1 N +KIICHI K IY0 - IY1 - CH IY0 +KIICHI(2) K IY1 - CH IY0 +KIJOWSKI K IH0 Y - AO1 F S - K IY0 +KIKA K IH1 - K AH0 +KIKATTE K IH1 - K AE0 T +KIKER K AY1 - K ER0 +KIKI K IY1 - K IY0 +KIKKOMAN K IY1 - K OW0 - M AA0 N +KIKTA K IH1 K - T AH0 +KIKUCHI K IY0 - K UW1 - CH IY0 +KIKUMURA K IY2 - K UW2 - M UW1 - R AH0 +KIKWIT K IH1 - K W IH0 T +KILA K IH1 - L AH0 +KILBANE K IH1 L - B AH0 N +KILBORN K IH1 L - B ER0 N +KILBORNE K IH1 L - B AO2 R N +KILBOURN K IH1 L - B ER0 N +KILBOURNE K IH1 L - B ER0 N +KILBRIDE K IH1 L - B R AY2 D +KILBURG K IH1 L - B ER0 G +KILBURN K IH1 L - B ER0 N +KILBURY K IH1 L - B EH2 - R IY0 +KILBY K IH1 L - B IY0 +KILCOIN K IH1 L - K OY0 N +KILCOYNE K IH1 L - K OY0 N +KILCREASE K IH0 L - K R IY1 S +KILCREASE(2) K IH1 L - K R IY0 S +KILCULLEN K IH0 L - K AH1 - L AH0 N +KILDAY K IH1 L - D EY2 +KILDEE K IH1 L - D IY0 +KILDOW K IH1 L - D OW0 +KILDUFF K IH1 L - D AH0 F +KILE K AY1 L +KILEN K IH1 - L AH0 N +KILEY K AY1 - L IY0 +KILGO K IH1 L - G OW0 +KILGORE K IH1 L - G AO0 R +KILGOUR K IH1 L - G ER0 +KILGUS K IH1 L - G AH0 S +KILIAN K IH1 - L IY0 - AH0 N +KILIMANJARO K IH0 - L IY2 - M AH0 N - JH AA1 - R OW0 +KILIMANJARO(2) K IH2 - L AH0 - M AH0 N - JH AA1 - R OW0 +KILKER K IH1 L - K ER0 +KILL K IH1 L +KILLAM K IH1 - L AH0 M +KILLE K IH1 L +KILLEAGH K IH0 - L IY1 G +KILLEBREW K IH1 - L IH0 - B R UW0 +KILLED K IH1 L D +KILLEEN K IH0 - L IY1 N +KILLEN K IH1 - L AH0 N +KILLER K IH1 - L ER0 +KILLER'S K IH1 - L ER0 Z +KILLERS K IH1 - L ER0 Z +KILLEY K IH1 - L IY0 +KILLGORE K IH1 L - G AO2 R +KILLIAN K IH1 - L Y AH0 N +KILLIFISH K IH1 - L IH0 - F IH0 SH +KILLILEA K IH0 - L IH0 - L IY1 - AH0 +KILLIN K IH1 - L IH0 N +KILLING K IH1 - L IH0 NG +KILLINGBECK K IH1 - L IH0 NG - B EH2 K +KILLINGER K IH1 - L IH0 - NG ER0 +KILLINGS K IH1 - L IH0 NG Z +KILLINGSWORTH K IH1 - L IH0 NG - Z W ER2 TH +KILLINGTON K IH1 - L IH0 NG - T AH0 N +KILLION K IH1 - L Y AH0 N +KILLJOY K IH1 L - JH OY0 +KILLMAN K IH1 L - M AH0 N +KILLMAN'S K IH1 L - M AH0 N Z +KILLMER K IH1 L - M ER0 +KILLMON K IH1 L - M AH0 N +KILLORAN K IH1 - L ER0 - AH0 N +KILLORY K IH1 - L ER0 - IY0 +KILLOUGH K IH1 - L AW0 +KILLPACK K IH1 L - P AE2 K +KILLS K IH1 L Z +KILMAN K IH1 L - M AH0 N +KILMARNOCK K IH0 L - M AA1 R - N AA2 K +KILMARTIN K IH0 L - M AA1 R - T IH0 N +KILMER K IH1 L - M ER0 +KILN K IH1 L N +KILNS K IH1 L N Z +KILO K IH1 - L OW2 +KILOBIT K IH1 - L AH0 - B IH0 T +KILOBYTE K IH1 - L OW0 - B AY2 T +KILOBYTES K IH1 - L OW0 - B AY2 T S +KILOGRAM K IH1 - L AH0 - G R AE2 M +KILOGRAMS K IH1 - L AH0 - G R AE2 M Z +KILOMETER K AH0 - L AA1 - M AH0 - T ER0 +KILOMETER(2) K IH1 - L AH0 - M IY2 - T ER0 +KILOMETERS K AH0 - L AA1 - M AH0 - T ER0 Z +KILOMETERS(2) K IH1 - L AH0 - M IY2 - T ER0 Z +KILOS K IY1 - L OW2 Z +KILOWATT K IH1 - L AH0 - W AA2 T +KILOWATTS K IH1 - L AH0 - W AA2 T S +KILPATRICK K IH2 L - P AE1 - T R IH0 K +KILROY K IH1 L - R OY2 +KILT K IH1 L T +KILTER K IH1 L - T ER0 +KILTON K IH1 L - T AH0 N +KILTS K IH1 L T S +KILTY K IH1 L - T IY0 +KILZER K IH1 L - Z ER0 +KIM K IH1 M +KIM'S K IH1 M Z +KIMBA K IH1 M - B AH0 +KIMBALL K IH1 M - B AH0 L +KIMBALL'S K IH1 M - B AH0 L Z +KIMBEL K IH1 M - B AH0 L +KIMBELL K IH1 M - B EH0 L +KIMBER K IH1 M - B ER0 +KIMBERLEY K IH1 M - B ER0 - L IY0 +KIMBERLIN K IH1 M - B ER0 - L IH0 N +KIMBERLING K IH1 M - B ER0 - L IH0 NG +KIMBERLY K IH1 M - B ER0 - L IY0 +KIMBERLY'S K IH1 M - B ER0 - L IY0 Z +KIMBLE K IH1 M - B AH0 L +KIMBLER K IH1 M - B L ER0 +KIMBLEY K IH1 M - B L IY0 +KIMBREL K IH1 M - B R AH0 L +KIMBRELL K IH1 M - B R AH0 L +KIMBRIEL K IH1 M - B R IY0 - AH0 L +KIMBRO K IH1 M - B R OW0 +KIMBROUGH K IH1 M - B R AW0 +KIMCHE K IH1 M - CH IY0 +KIMCHEE K IH1 M - CH IY0 +KIMCHI K IH1 M - CH IY0 +KIMCO K IH1 M - K OW0 +KIME K AY1 M +KIMEL K IH1 - M AH0 L +KIMERY K IH1 - M ER0 - IY0 +KIMES K AY1 M Z +KIMLER K IH1 - M AH0 - L ER0 +KIMLER(2) K IH1 M - L ER0 +KIMM K IH1 M +KIMMEL K IH1 - M AH0 L +KIMMELL K IH1 - M AH0 L +KIMMELMAN K IH1 - M AH0 L - M AH0 N +KIMMER K IH1 - M ER0 +KIMMERLE K IH1 - M ER0 - AH0 L +KIMMET K IH1 - M IH0 T +KIMMEY K IH1 - M IY0 +KIMMICH K IH1 - M IH0 CH +KIMMINS K IH1 - M IH0 N Z +KIMMITT K IH1 - M IH0 T +KIMMONS K IH1 - M AH0 N Z +KIMONO K AH0 - M OW1 - N AH0 +KIMONOS K AH0 - M OW1 - N AH0 Z +KIMOTO K IY0 - M OW1 - T OW0 +KIMPEL K IH1 M - P AH0 L +KIMPLE K IH1 M - P AH0 L +KIMPO K IH1 M - P OW0 +KIMPTON K IH1 M P - T AH0 N +KIMREY K IH1 M - R IY0 +KIMS K IH1 M Z +KIMSEY K IH1 M - Z IY0 +KIMURA K IY0 - M UH1 - R AH0 +KIMWIPE K IH1 M - W AY0 P +KIMWIPES K IH1 M - W AY0 P S +KIMZEY K IH1 M - Z IY0 +KIN K IH1 N +KIN'S K IH1 N Z +KINARD K IH1 - N ER0 D +KINARK K IH1 - N AA0 R K +KINBURN K IH1 N - B ER2 N +KINCADE K IH2 N - K EY1 D +KINCAID K IH2 N - K EY1 D +KINCAID'S K IH2 N - K EY1 D Z +KINCANNON K IH2 N - K AE1 - N AH0 N +KINCER K IH1 N - S ER0 +KINCH K IH1 N CH +KINCHELOE K IH1 N - CH IH0 - L OW0 +KINCHEN K IH1 NG - K AH0 N +KINCY K IH1 N - S IY0 +KIND K AY1 N D +KINDA K IH1 N - D AH0 +KINDALL K IH1 N - D AH0 L +KINDEL K IH1 N - D AH0 L +KINDELL K IH1 N - D AH0 L +KINDER K AY1 N - D ER0 +KINDERGARTEN K IH1 N - D ER0 - G AA2 R - T AH0 N +KINDERGARTENS K IH1 N - D ER0 - G AA2 R - T AH0 N Z +KINDERGARTNER K IH1 N - D ER0 - G AA2 R T - N ER0 +KINDERGARTNERS K IH1 N - D ER0 - G AA2 R T - N ER0 Z +KINDERMAN K AY1 N - D ER0 - M AH0 N +KINDEST K AY1 N - D AH0 S T +KINDIG K IH1 N - D IH0 G +KINDLE K IH1 N - D AH0 L +KINDLEBERGER K IH1 N - D AH0 L - B ER0 - G ER0 +KINDLED K IH1 N - D AH0 L D +KINDLER K IH1 N - D AH0 L - ER0 +KINDLER(2) K IH1 N D - L ER0 +KINDLEY K IH1 N D - L IY0 +KINDLING K IH1 N - D L IH0 NG +KINDLY K AY1 N D - L IY0 +KINDNESS K AY1 N D - N AH0 S +KINDRAN K IH1 N - D R AH0 N +KINDRED K IH1 N - D R IH0 D +KINDRICK K IH1 N - D R IH0 K +KINDS K AY1 N D Z +KINDS(2) K AY1 N Z +KINDT K IH1 N T +KINDY K AY1 N - D IY0 +KINEPOLIS K IH0 - N EH1 - P AH0 - L IH0 S +KINER K AY1 - N ER0 +KINES K AY1 N Z +KINESIOLOGY K IH2 - N IH0 - S IY2 - AA1 - L AH0 - JH IY0 +KINESTHETIC K IH2 - N AH0 S - TH EH1 - T IH0 K +KINETA K IH1 - N IH0 - T AH0 +KINETIC K AH0 - N EH1 - T IH0 K +KINETIC(2) K IH0 - N EH1 - T IH0 K +KINETICS K AH0 - N EH1 - T IH0 K S +KING K IH1 NG +KING'S K IH1 NG Z +KINGBIRD K IH1 NG - B ER2 D +KINGBIRDS K IH1 NG - B ER2 D Z +KINGDOM K IH1 NG - D AH0 M +KINGDOM'S K IH1 NG - D AH0 M Z +KINGDOMS K IH1 NG - D AH0 M Z +KINGDON K IH1 NG - D AH0 N +KINGEN K IH1 - NG AH0 N +KINGERY K IH1 NG - G ER0 - IY0 +KINGFISHER K IH1 NG - F IH2 - SH ER0 +KINGFISHERS K IH1 NG - F IH2 - SH ER0 Z +KINGHAM K IH1 NG - HH AE2 M +KINGHORN K IH1 NG - HH ER0 N +KINGLY K IH1 NG - L IY0 +KINGMA K IH1 NG - M AH0 +KINGMAKER K IH1 NG - M EY2 - K ER0 +KINGMAN K IH1 NG - M AH0 N +KINGON K IH1 - NG AO2 N +KINGPIN K IH1 NG - P IH2 N +KINGPINS K IH1 NG - P IH2 N Z +KINGREY K IH1 NG - G R IY0 +KINGRY K IH1 NG - G ER0 - IY0 +KINGS K IH1 NG Z +KINGS' K IH1 NG Z +KINGSBOROUGH K IH1 NG Z - B ER2 - OW0 +KINGSBRIDGE K IH1 NG Z - B R IH2 JH +KINGSBURY K IH1 NG Z - B EH2 - R IY0 +KINGSEY K IH1 NG - Z IY0 +KINGSFORD K IH1 NG S - F ER0 D +KINGSHIP K IH1 NG - SH IH0 P +KINGSLAND K IH1 NG Z - L AE0 N D +KINGSLEY K IH1 NG Z - L IY0 +KINGSLEY'S K IH1 NG - Z L IY0 Z +KINGSOLVER K IH1 NG - S AA0 L - V ER0 +KINGSPORT K IH1 NG - S P AO2 R T +KINGSTON K IH1 NG - S T AH0 N +KINGSUN K IH1 NG - S AH0 N +KINGSVILLE K IH1 NG Z - V IH2 L +KINGSWAY K IH1 NG G Z - W EY0 +KINGSWELL K IH1 NG G Z - W EH0 L +KINGTON K IH1 NG - T AH0 N +KINION K IH1 - N Y AH0 N +KINIRY K IH1 - N AY0 - R IY0 +KINKADE K IH1 NG - K AH0 D +KINKEAD K IH1 NG - K EH0 D +KINKEL K IH1 NG - K AH0 L +KINKER K IH1 NG - K ER0 +KINKLE K IH1 NG - K AH0 L +KINKO K IH1 NG - K OW2 +KINKO'S K IH1 NG - K OW2 Z +KINKS K IH1 NG K S +KINKY K IH1 NG - K IY0 +KINLAW K IH1 N - L AO2 +KINLEY K IH1 N - L IY0 +KINLOCH K IH1 N - L AH0 K +KINMAN K IH1 N - M AH0 N +KINMEN K IH1 N - M EH0 N +KINN K IH1 N +KINNAIRD K IH1 - N ER0 D +KINNAMAN K IH1 - N AH0 - M AH0 N +KINNAMON K IH1 - N AH0 - M AH0 N +KINNAN K IH1 - N AH0 N +KINNARD K IH1 - N ER0 D +KINNE K IH1 N +KINNEAR K IH1 - N IH2 R +KINNEBREW K IH1 - N IH0 - B R UW0 +KINNELL K IH1 - N AH0 L +KINNER K IH1 - N ER0 +KINNETT K IH1 - N IH0 T +KINNEY K IH1 - N IY0 +KINNICK K IH1 - N IH0 K +KINNIE K IH1 - N IY0 +KINNISON K IH1 - N IH0 - S AH0 N +KINNOCK K IH1 - N AH0 K +KINNOCK'S K IH1 - N AH0 K S +KINNUNEN K IH0 - N AH1 - N AH0 N +KINNY K IH1 - N IY0 +KINOSHITA K IY0 - N OW0 - SH IY1 - T AH0 +KINSEL K IH1 N - S AH0 L +KINSELL K IH1 N - S AH0 L +KINSELLA K IY0 N - S EH1 - L AH0 +KINSER K IH1 N - S ER0 +KINSEY K IH1 N - Z IY0 +KINSHASA K IH0 N - SH AA1 - S AH0 +KINSHASA(2) K IH0 N - SH AE1 - S AH0 +KINSHIP K IH1 N - SH IH2 P +KINSINGER K IH1 N - S IH0 N - JH ER0 +KINSLER K IH1 N - S AH0 - L ER0 +KINSLER(2) K IH1 N - S L ER0 +KINSLEY K IH1 N Z - L IY0 +KINSLEY'S K IH1 N - Z L IY0 Z +KINSLOW K IH1 N - S L OW2 +KINSMAN K IH1 N Z - M AE2 N +KINST K IH1 N S T +KINSTLER K IH1 N - S T L ER0 +KINT K IH1 N T +KINTER K IH1 N - T ER0 +KINTIGH K IH1 N - T AY0 +KINTNER K IH1 N T - N ER0 +KINTON K IH1 N - T AH0 N +KINTZ K IH1 N T S +KINTZEL K IH1 N T - Z AH0 L +KINYON K IH1 - N Y AH0 N +KINZEL K IH1 N - Z AH0 L +KINZER K IH1 N - Z ER0 +KINZEY K IH1 N - Z IY0 +KINZIE K IH1 N - Z IY0 +KINZLER K IH1 N Z - L ER0 +KINZLMAIER K IH1 N - Z AH0 L - M AY2 - ER0 +KIOSK K IY1 - AO2 S K +KIOSKS K IY1 - AO2 S K S +KIOUS K AY1 - AH0 S +KIP K IH1 P +KIPER K AY1 - P ER0 +KIPFER K IH1 P - F ER0 +KIPLING K IH1 - P L IH0 NG +KIPLINGER K IH1 - P AH0 - L IH0 - NG ER0 +KIPLINGER'S K IH1 P - L IH2 - NG ER0 Z +KIPLINGER(2) K IH1 P - L IH0 - NG ER0 +KIPNIS K IH1 P - N IH0 S +KIPP K IH1 P +KIPPER K IH1 - P ER0 +KIPPERMAN K IH1 - P ER0 - M AH0 N +KIPPERS K IH1 - P ER0 Z +KIPPES K IH1 P S +KIPPUR K IH1 - P ER0 +KIR K IH1 R +KIRACOFE K IH1 - R AH0 - K OW2 F +KIRALY K IH1 - R AH0 - L IY0 +KIRBY K ER1 - B IY0 +KIRBY'S K ER1 - B IY0 Z +KIRCH K ER1 K +KIRCHBERG K ER1 K - B ER0 G +KIRCHBERG(2) K ER1 CH - B ER0 G +KIRCHBERGER K ER1 CH - B ER0 - G ER0 +KIRCHEN K ER1 - K AH0 N +KIRCHER K ER1 - K ER0 +KIRCHGESSNER K ER1 K - G IH0 S - N ER0 +KIRCHHOFER K ER1 K - HH AH0 - F ER0 +KIRCHHOFF K ER1 K - HH AO0 F +KIRCHMAN K ER1 K - M AH0 N +KIRCHNER K ER1 K - N ER0 +KIRCHNERS K ER1 K - N ER0 Z +KIRCHOFF K ER1 K - HH AO0 F +KIRGAN K ER1 - G AH0 N +KIRGIZ K IH1 R - G IH0 Z +KIRI K IH1 - R IY0 +KIRIBATI K IH2 - R IH1 - B AA1 - T IY0 +KIRIN K IH1 - R IH0 N +KIRK K ER1 K +KIRK'S K ER1 K S +KIRKBRIDE K ER1 K - B R AY0 D +KIRKBY K ER1 K - B IY0 +KIRKEBY K ER1 - K IH0 - B IY0 +KIRKENDALL K ER0 - K EH1 N - D AH0 L +KIRKENDOLL K ER0 - K EH1 N - D OW0 L +KIRKER K ER1 - K ER0 +KIRKEY K ER1 - K IY0 +KIRKHAM K ER1 K - HH AH0 M +KIRKHART K ER1 K - HH AA0 R T +KIRKLAND K ER1 K - L AH0 N D +KIRKLAND'S K ER1 K - L AH0 N D Z +KIRKLEY K ER1 K - L IY0 +KIRKLIN K ER1 - K L IH0 N +KIRKMAN K ER1 K - M AH0 N +KIRKNER K ER1 K - N ER0 +KIRKPATRICK K ER0 K - P AE1 - T R IH0 K +KIRKPATRICK(2) K ER0 - P AE1 - T R IH0 K +KIRKS K ER1 K S +KIRKSEY K ER1 K - S IY0 +KIRKUK K IH2 R - K UH1 K +KIRKUM K IH1 R - K AH0 M +KIRKWOOD K ER1 K - W UH0 D +KIRLEY K ER1 - L IY0 +KIRLIN K ER1 - L IH0 N +KIRMSE K ER1 M - S IY0 +KIRN K ER1 N +KIRNAN K ER1 - N AH0 N +KIRNER K ER1 - N ER0 +KIROUAC K AY1 - R AW0 - AE0 K +KIROV K IH1 - R AA0 V +KIRSCH K ER1 SH +KIRSCHBAUM K ER1 SH - B AW0 M +KIRSCHENBAUM K ER1 - SH AH0 N - B AW0 M +KIRSCHENMANN K ER1 - SH AH0 N - M AH0 N +KIRSCHMAN K ER1 SH - M AH0 N +KIRSCHNER K ER1 SH - N ER0 +KIRSH K ER1 SH +KIRSHBAUM K ER1 SH - B AW2 M +KIRSHENBAUM K ER1 - SH AH0 N - B AW0 M +KIRSHNER K ER1 SH - N ER0 +KIRST K ER1 S T +KIRSTEIN K ER1 - S T AY0 N +KIRSTEIN(2) K ER1 - S T IY0 N +KIRSTEN K ER1 - S T AH0 N +KIRSTIE K ER1 - S T IY0 +KIRSTIN K ER1 - S T IH0 N +KIRT K ER1 T +KIRTLAND K ER1 T - L AH0 N D +KIRTLEY K ER1 T - L IY0 +KIRTON K ER1 - T AH0 N +KIRTS K ER1 T S +KIRVEN K ER1 - V AH0 N +KIRWAN K ER1 - W AO0 N +KIRWIN K ER1 - W IH0 N +KIRYAS K IH1 R - Y AH0 S +KIRYAS(2) K IH2 R - Y AA1 S +KIRYAT K IH1 - R Y AH0 T +KIRYAT(2) K IH2 R - Y AA1 T +KIS K IH1 S +KISAMORE K IY0 - S AA1 - M AO0 R +KISAN K IH1 - Z AH0 N +KISCH K IH1 SH +KISCHELL K IH1 - SH AH0 L +KISCO K IH1 - S K OW0 +KISE K AY1 Z +KISER K AY1 - Z ER0 +KISH K IH1 SH +KISHA K IH1 - SH AH0 +KISHBAUGH K IH1 SH - B AW0 +KISHI K IY1 - SH IY0 +KISIEL K IH1 - S IY0 L +KISKA K IH1 S - K AH0 +KISKA'S K IH1 S - K AH0 Z +KISLER K IH1 - S AH0 - L ER0 +KISLER(2) K IH1 S - L ER0 +KISLING K IH1 - S AH0 - L IH0 NG +KISLING(2) K IH1 - S L IH0 NG +KISMAYU K IH0 S - M AA1 - Y UW0 +KISMAYU(2) K IH0 Z - M AA1 - Y UW0 +KISMET K IH1 Z - M IH0 T +KISMETS K IH1 Z - M IH0 T S +KISNER K IH1 S - N ER0 +KISOR K AY1 - Z ER0 +KISS K IH1 S +KISSACK K IH1 - S AH0 K +KISSAM K IH1 - S AH0 M +KISSANE K IH1 - S AH0 N +KISSED K IH1 S T +KISSEE K IH1 - S IY1 +KISSEL K IH1 - S AH0 L +KISSELL K IH1 - S AH0 L +KISSER K IH1 - S ER0 +KISSES K IH1 - S AH0 Z +KISSES(2) K IH1 - S IH0 Z +KISSICK K IH1 - S IH0 K +KISSIMMEE K IH0 - S IH1 - M IY0 +KISSING K IH1 - S IH0 NG +KISSINGER K IH1 - S IH0 N - JH ER0 +KISSINGER'S K IH1 - S IH0 N - JH ER0 Z +KISSLER K IH1 S - L ER0 +KISSLING K IH1 - S L IH0 NG +KISSNER K IH1 S - N ER0 +KIST K IH1 S T +KISTER K IH1 - S T ER0 +KISTLER K IH1 S T - L ER0 +KISTNER K IH1 S T - N ER0 +KISZCZAK K IH1 - Z AE0 K +KISZCZAK(2) K IH1 - SH AE0 K +KIT K IH1 T +KITA K IY1 - T AH0 +KITAGAWA K IY0 - T AA0 - G AA1 - W AH0 +KITAJIMA K IY2 - T AH0 - JH IY1 - M AH0 +KITAMURA K IY0 - T AA0 - M UH1 - R AH0 +KITCAT K IH1 T - K AE2 T +KITCH K IH1 CH +KITCHEL K IH1 - CH AH0 L +KITCHELL K IH1 - CH AH0 L +KITCHEN K IH1 - CH AH0 N +KITCHEN'S K IH1 - CH AH0 N Z +KITCHENAID K IH1 - CH AH0 - N EY2 D +KITCHENER K IH1 - CH AH0 - N ER0 +KITCHENER(2) K IH1 CH - N ER0 +KITCHENETTE K IH2 - CH AH0 - N EH1 T +KITCHENS K IH1 - CH AH0 N Z +KITCHENWARE K IH1 - CH AH0 N - W EH2 R +KITCHIN K IH1 - CH IH0 N +KITCHING K IH1 - CH IH0 NG +KITCHINGS K IH1 - CH IH0 NG Z +KITE K AY1 T +KITES K AY1 T S +KITHCART K IH1 TH - K AA2 R T +KITIMAT K IH1 - T IH0 - M AE0 T +KITING K AY1 - T IH0 NG +KITNER K IH1 T - N ER0 +KITOWSKI K IH0 - T AO1 F S - K IY0 +KITS K IH1 T S +KITSCH K IH1 CH +KITSON K IH1 T - S AH0 N +KITT K IH1 T +KITTANEH K IH0 - T AA1 - N EH2 +KITTEL K IH1 - T AH0 L +KITTELL K IH1 - T AH0 L +KITTELSON K IH1 - T IH0 L - S AH0 N +KITTEN K IH1 - T AH0 N +KITTENS K IH1 - T AH0 N Z +KITTERMAN K IH1 - T ER0 - M AH0 N +KITTINGER K IH1 - T IH0 - NG ER0 +KITTIWAKE K IH1 - T IH0 - W EY2 K +KITTLE K IH1 - T AH0 L +KITTLER K IH1 - T AH0 L - ER0 +KITTLES K IH1 - T AH0 L Z +KITTLESON K IH1 - T AH0 L - S AH0 N +KITTMAN K IH1 T - M AH0 N +KITTNER K IH1 T - N ER0 +KITTREDGE K IH1 - T R IH0 JH +KITTRELL K IH1 - T R AH0 L +KITTS K IH1 T S +KITTY K IH1 - T IY0 +KITZ K IH1 T S +KITZHABER K IH1 T S - HH EY2 - B ER0 +KITZHABER(2) K IH1 T S - HH AA2 - B ER0 +KITZMAN K IH1 T S - M AH0 N +KITZMILLER K IH1 T S - M IH2 - L ER0 +KIVELA K IH1 - V IH0 - L AH0 +KIVETT K IH1 - V IH0 T +KIVI K IH1 - V IY0 +KIWANI K IH0 - W AA1 - N IH0 +KIWANIS K IH0 W - AA1 - N IH0 S +KIWI K IY1 - W IY0 +KIWI'S K IY1 - W IY0 Z +KIWIS K IY1 - W IY0 Z +KIYOHIDA K IY2 - OW0 - HH IY1 - D AH0 +KIYOSHI K IY0 - OW1 - SH IY0 +KIYOTAKA K IY2 - OW0 - T AA1 - K AH0 +KIZER K AY1 - Z ER0 +KIZZIAH K IH1 - Z IY0 - AH0 +KJAR K AH0 - JH AA1 R +KJAR(2) K EY1 - JH EY1 - EY1 - AA1 R +KJELL K Y EH1 L +KJELLBERG JH EH1 L - B ER0 G +KJELLBERG(2) K AH0 - JH EH1 L - B ER0 G +KJENSTAD K Y EH1 N - S T AE2 D +KJOS K AH0 - JH AA1 S +KJOS(2) K EY1 - JH EY1 - OW1 - EH1 S +KKK K EY1 - K EY1 - K EY1 +KLAAS K L AA1 S +KLAASSEN K L AA1 - S AH0 N +KLABUNDE K L AE1 - B AH0 N D +KLADSTRUP K L AE1 D - S T R AH0 P +KLADSTRUP'S K L AE1 D - S T R AH0 P S +KLAGES K L EY1 - JH IH0 Z +KLAHN K L AE1 N +KLAHR K L AE1 R +KLAIBER K L EY1 - B ER0 +KLAMER K L EY1 - M ER0 +KLAMM K L AE1 M +KLAMMER K L AE1 - M ER0 +KLAMON K L EY1 - M AH0 N +KLAN K L AE1 N +KLAN'S K L AE1 N Z +KLANG K L AE1 NG +KLANN K L AE1 N +KLANS K L AE1 N Z +KLANSMEN K L AE1 N Z - M AH0 N +KLAPP K L AE1 P +KLAPPER K L AE1 - P ER0 +KLAPPERICH K L AE1 - P ER0 - IH0 K +KLAR K L AA1 R +KLARE K L EH1 R +KLARICH K L AE1 - R IH0 K +KLARMAN K L AA1 R - M AH0 N +KLAS K L AE1 S +KLASE K L EY1 Z +KLASEN K L EY1 - S AH0 N +KLASS K L AE1 S +KLASSEN K L AE1 - S AH0 N +KLATSKY K L AE1 T S - K IY0 +KLATT K L AE1 T +KLAUBER K L AW1 - B ER0 +KLAUER K L AW1 - ER0 +KLAUS K L AW1 S +KLAUSER K L AW1 - S ER0 +KLAUSING K L AW1 - S IH0 NG +KLAUSNER K L AW1 S - N ER0 +KLAVER K L EY1 - V ER0 +KLAWITTER K L AO1 - IH0 - T ER0 +KLAY K L EY1 +KLAYMAN K L EY1 - M AH0 N +KLEBAN K L EH1 - B AH0 N +KLEBBA K L EH1 - B AH0 +KLEBE K L IY1 B +KLEBER K L IY1 - B ER0 +KLECK K L EH1 K +KLECKA K L EH1 - K AH0 +KLECKER K L EH1 - K ER0 +KLECKNER K L EH1 K - N ER0 +KLEE K L IY1 +KLEE'S K L IY1 Z +KLEEMAN K L IY1 - M AH0 N +KLEEN K L IY1 N +KLEENEX K L IY1 - N AH0 K S +KLEER K L IH1 R +KLEES K L IY1 Z +KLEFFNER K L EH1 F - N ER0 +KLEIBER K L AY1 - B ER0 +KLEIER K L AY1 - ER0 +KLEIMAN K L AY1 - M AH0 N +KLEIN K L AY1 N +KLEIN'S K L AY1 N Z +KLEINBERG K L AY1 N - B ER0 G +KLEINDIENST K L AY1 N - D IY2 N S T +KLEINE K L AY1 N +KLEINER K L AY1 - N ER0 +KLEINERT K L AY1 - N ER0 T +KLEINFELD K L AY1 N - F EH2 L D +KLEINFELTER K L AY1 N - F IH0 L - T ER0 +KLEINHANS K L AY1 N - HH AH0 N Z +KLEINHENZ K L AY1 N - HH IH0 N S +KLEINKNECHT K L AY1 NG K - N IH0 K T +KLEINMAN K L AY1 N - M AH0 N +KLEINPASTE K L AY1 N - P EY2 S T +KLEINPETER K L AY1 N - P IY0 - T ER0 +KLEINSASSER K L AY1 N - S AH0 - S ER0 +KLEINSCHMIDT K L AY1 N SH - M IH2 T +KLEINSMITH K L AY1 N - S M IH0 TH +KLEINWORT K L AY1 N - W ER0 T +KLEIS K L AY1 Z +KLEISS K L AY1 S +KLEIST K L AY1 S T +KLEJNA K L EY1 - N ER0 +KLEM K L EH1 M +KLEMA K L EH1 - M AH0 +KLEMAN K L EH1 - M AH0 N +KLEMANN K L EH1 - M AH0 N +KLEMENS K L EH1 - M AH0 N S +KLEMENT K L EH1 - M AH0 N T +KLEMM K L EH1 M +KLEMME K L EH1 M +KLEMMER K L EH1 - M ER0 +KLEMP K L EH1 M P +KLEMPNER K L EH1 M P - N ER0 +KLEMZ K L EH1 M Z +KLENGE K L EH1 N JH +KLENK K L EH1 NG K +KLENKE K L EH1 NG K +KLENSCH K L EH1 N SH +KLEPAC K L EH1 - P AH0 K +KLEPFER K L EH1 P - F ER0 +KLEPPE K L EH1 P +KLEPPER K L EH1 - P ER0 +KLEPPINGER K L EH1 - P IH0 NG - G ER0 +KLERK K L ER1 K +KLERK'S K L ER1 K S +KLESCH K L EH1 SH +KLESKEN K L EH1 S - K AH0 N +KLESS K L EH1 S +KLETT K L EH1 T +KLEVE K L IY1 V +KLEVEN K L IY1 - V AH0 N +KLEVER K L EH1 - V ER0 +KLEY K L EY1 +KLEZMER K L EH1 Z - M ER0 +KLICH K L IH1 CH +KLICK K L IH1 K +KLIEBERT K L IY1 - B ER0 T +KLIEG K L IY1 G +KLIEMAN K L AY1 - M AH0 N +KLIER K L AY1 - ER0 +KLIETHERMES K L IY1 - TH ER0 M Z +KLIEWER K L IY1 - W ER0 +KLIGMAN K L IH1 G - M AH0 N +KLIM K L IH1 M +KLIMA K L AY1 - M AH0 +KLIMAS K L AY1 - M AH0 Z +KLIMASZEWSKI K L IH0 - M AH0 - SH EH1 F S - K IY0 +KLIMCZAK K L IH1 M - CH AE0 K +KLIMEK K L IH1 - M IH0 K +KLIMENT K L AY1 - M AH0 N T +KLIMER K L IH1 - M ER0 +KLIMER(2) K L AY1 - M ER0 +KLIMOWICZ K L IH1 - M AH0 - V IH0 CH +KLINCK K L IH1 NG K +KLINDT K L IH1 N T +KLINDWORTH K L IH1 N D - W ER0 TH +KLINE K L AY1 N +KLINEDINST K L IH1 - N IH0 - D IH0 N S T +KLINEDINST(2) K L AY1 N - D IH0 N S T +KLINEFELTER K L IH1 - N IH0 - F IH0 L - T ER0 +KLINEFELTER(2) K L AY1 N - F IH0 L - T ER0 +KLING K L IH1 NG +KLINGAMAN K L IH1 NG - G AH0 - M AH0 N +KLINGBEIL K L IH1 NG - B AY0 L +KLINGBERG K L IH1 NG - B ER0 G +KLINGE K L IH1 N JH +KLINGEL K L IH1 NG - G AH0 L +KLINGENBERG K L IH1 - NG AH0 N - B ER0 G +KLINGENSMITH K L IH1 NG - G IH0 N - S M IH0 TH +KLINGER K L IH1 - NG ER0 +KLINGER'S K L IH1 - NG ER0 Z +KLINGERMAN K L IH1 - NG ER0 - M AH0 N +KLINGHOFFER K L IH1 NG - HH AO2 - F ER0 +KLINGLER K L IH1 NG - G AH0 - L ER0 +KLINGLER(2) K L IH1 NG - G L ER0 +KLINGMAN K L IH1 NG - M AH0 N +KLINGON K L IH1 NG - G AH0 N +KLINK K L IH1 NG K +KLINKE K L IH1 NG K +KLINKER K L IH1 NG - K ER0 +KLINKHAMMER K L IH1 NG K - HH AE0 - M ER0 +KLINKHAMMER'S K L IH1 NG K - HH AE0 - M ER0 Z +KLINKNER K L IH1 NG K - N ER0 +KLINT K L IH1 N T +KLINTWORTH K L IH1 N T - W ER0 TH +KLINZING K L IH1 N - Z IH0 NG +KLIPFEL K L IH1 P - F AH0 L +KLIPP K L IH1 P +KLIPPEL K L IH1 - P AH0 L +KLISH K L IH1 SH +KLITZ K L IH1 T S +KLITZKE K L IH1 T S - K IY0 +KLIXSHAVICH K L IH0 K - S AE1 - V IH0 CH +KLOBERDANZ K L AA1 - B ER0 - D AH0 N S +KLOC K L AA1 K +KLOCEK K L OW1 - S IH0 K +KLOCK K L AA1 K +KLOCKE K L AA1 K +KLOECKNER K L OW1 K - N ER0 +KLOEHN K L OW1 N +KLOEPFER K L OW1 P - F ER0 +KLOEPPEL K L OW1 - P AH0 L +KLOEPPER K L OW1 - P ER0 +KLOIBER K L OY1 - B ER0 +KLOM K L AO1 M +KLOMP K L AA1 M P +KLONDIKE K L AA1 N - D AY2 K +KLONOWSKI K L AH0 N - AO1 F S - K IY0 +KLONTZ K L AA1 N T S +KLOOS K L UW1 Z +KLOOSTER K L UW1 - S T ER0 +KLOOSTERMAN K L UW1 - S T ER0 - M AH0 N +KLOPF K L AA1 P F +KLOPFENSTEIN K L AA1 P - F AH0 N - S T AY0 N +KLOPFENSTEIN(2) K L AA1 P - F AH0 N - S T IY0 N +KLOPFER K L AA1 P - F ER0 +KLOPP K L AA1 P +KLOPPENBURG K L AA1 - P AH0 N - B ER0 G +KLOS K L AA1 S +KLOSE K L OW1 Z +KLOSINSKI K L AH0 - S IH1 N - S K IY0 +KLOSOWSKI K L AH0 S - AO1 F S - K IY0 +KLOSS K L AO1 S +KLOSSNER K L AA1 S - N ER0 +KLOSTER K L AO1 - S T ER0 +KLOSTERMAN K L AA1 - S T ER0 - M AH0 N +KLOSTERMANN K L AA1 - S T ER0 - M AH0 N +KLOTH K L AA1 TH +KLOTZ K L AA1 T S +KLOTZBACH K L AA1 T S - B AA0 K +KLUCEVSEK K L UW0 - S EH1 V - S EH0 K +KLUCK K L AH1 K +KLUDT K L AH1 D T +KLUENDER K L UH1 N - D ER0 +KLUESNER K L UH1 S - N ER0 +KLUEVER K L UH1 - V ER0 +KLUG K L AH1 G +KLUGE K L UW1 JH +KLUGE'S K L UW1 - JH IH0 Z +KLUGER K L UW1 - G ER0 +KLUGH K L AH1 +KLUGMAN K L AH1 G - M AH0 N +KLUGT K L AH1 T +KLUKAS K L UW1 - K AH0 Z +KLUMB K L AH1 M +KLUMP K L AH1 M P +KLUMPP K L AH1 M P +KLUNDER K L AH1 N - D ER0 +KLUNDT K L AH1 N T +KLUNK K L AH1 NG K +KLUS K L AH1 S +KLUSMAN K L AH1 S - M AH0 N +KLUTE K L UW1 T +KLUTH K L UW1 TH +KLUTTS K L AH1 T S +KLUTTZ K L AH1 T S +KLUTZ K L AH1 T S +KLUTZNICK K L AH1 T - S N IH0 K +KLUVER K L UW1 - V ER0 +KLUWER K L UW1 - W ER0 +KLUX K L AH1 K S +KLYM K L IH1 M +KLYNVELD K L IH1 N - V EH2 L D +KMART K EY1 - M AA2 R T +KMART'S K EY1 - M AA2 R T S +KMETZ K AH0 - M EH1 T S +KMIEC K AH0 - M IY1 K +KMIECIK K AH0 - M IY1 - CH IH0 K +KNAACK N AA1 K +KNAAK N AA1 K +KNAB N AE1 B +KNABB N AE1 B +KNABE N EY1 B +KNABLE N EY1 - B AH0 L +KNACK N AE1 K +KNACKS N AE1 K S +KNACKSTEDT N AE1 K - S T IH0 T +KNAGGS N AE1 G Z +KNAPE N EY1 P +KNAPIK N AE1 - P IH0 K +KNAPKE N EY1 P K +KNAPP N AE1 P +KNAPP'S N AE1 P S +KNAPPENBERGER N AE1 - P AH0 N - B ER0 - G ER0 +KNAPPER N AE1 - P ER0 +KNAPSACK N AE1 P - S AE2 K +KNAPTON N AE1 P - T AH0 N +KNARR N AE1 R +KNAUB N AO1 B +KNAUER N AW1 - ER0 +KNAUF N AO1 F +KNAUFF N AO1 F +KNAUP N AO1 P +KNAUS N AO1 Z +KNAUSS N AO1 S +KNAVE N EY1 V +KNAVES N EY1 V Z +KNBC K EY1 - EH1 N - B IY1 - S IY1 +KNEAD N IY1 D +KNEADING N IY1 - D IH0 NG +KNEAFSEY N IY1 F - S IY0 +KNEALE N IY1 L +KNEBEL N EH1 - B AH0 L +KNECHT N EH1 K T +KNECHTEL N EH1 K - T AH0 L +KNEE N IY1 +KNEEBONE N IY1 - B OW2 N +KNEECAP N IY1 - K AE2 P +KNEECAPS N IY1 - K AE2 P S +KNEECE N IY1 S +KNEED N IY1 D +KNEEL N IY1 L +KNEELAND N IY1 - L AH0 N D +KNEELING N IY1 - L IH0 NG +KNEER N IH1 R +KNEES N IY1 Z +KNEIP N IY1 P +KNEISEL N AY1 - S AH0 L +KNEISLEY N IY1 S - L IY0 +KNELL N EH1 L +KNELLER N EH1 - L ER0 +KNELT N EH1 L T +KNEPP N EH1 P +KNEPPER N EH1 - P ER0 +KNERR N EH1 R +KNESS N EH1 S +KNESSET N EH1 - S AH0 T +KNESSET(2) K N EH1 - S AH0 T +KNESSET(3) K AH0 - N EH1 - S AH0 T +KNEW N UW1 +KNEW(2) N Y UW1 +KNEZEVICH N EH1 - Z IH0 - V IH0 CH +KNICELY N AY1 S - L IY0 +KNICK N IH1 K +KNICK-KNACK N IH1 K - N AE1 K +KNICK-KNACKS N IH1 K - N AE1 K S +KNICKER N IH1 - K ER0 +KNICKERBOCKER N IH1 - K ER0 - B AA2 - K ER0 +KNICKERBOCKERED N IH1 - K ER0 - B AA2 - K ER0 D +KNICKERBOCKERS N IH1 - K ER0 - B AA2 - K ER0 Z +KNICKERS N IH1 - K ER0 Z +KNICKKNACK N IH1 K - N AE2 K +KNICKKNACKS N IH1 K - N AE2 K S +KNICKS N IH1 K S +KNIEF N IY1 F +KNIEP N IY1 P +KNIERIEM N IY1 - R IY2 M +KNIERIM N IH1 - R IH0 M +KNIES N AY1 Z +KNIESS N IY1 S +KNIEVEL K AH0 - N IY1 - V AH0 L +KNIEVEL(2) N IY1 - V AH0 L +KNIFE N AY1 F +KNIFED N AY1 F T +KNIFELIKE N AY1 - F L AY2 K +KNIFEPOINT N AY1 F - P OY2 N T +KNIFFEN N IH1 - F AH0 N +KNIFFIN N IH1 - F IH0 N +KNIFING N AY1 - F IH0 NG +KNIFINGS N AY1 - F IH0 NG Z +KNIGGE N IH1 G +KNIGHT N AY1 T +KNIGHT'S N AY1 T S +KNIGHTED N AY1 - T IH0 D +KNIGHTEN N AY1 - T AH0 N +KNIGHTHOOD N AY1 T - HH UH2 D +KNIGHTLY N AY1 T - L IY0 +KNIGHTON N AY1 - T AH0 N +KNIGHTS N AY1 T S +KNILL N IH1 L +KNIN K EY1 - EH1 - N AY1 - EH1 N +KNIN(2) K N IH1 N +KNIN(3) N IH1 N +KNIPE N AY1 P +KNIPFER N IH1 P - F ER0 +KNIPL N IH1 - P AH0 L +KNIPP N IH1 P +KNIPPA N IH1 - P AH0 +KNIPPEL N IH1 - P AH0 L +KNIPPENBERG N IH1 - P AH0 N - B ER0 G +KNIPPER N IH1 - P ER0 +KNIPPLE N IH1 - P AH0 L +KNISELY N AY1 Z - L IY0 +KNISKERN N IH1 - S K ER0 N +KNISLEY N IH1 S - L IY0 +KNISPEL N IH1 - S P AH0 L +KNISS N IH1 S +KNIT N IH1 T +KNITS N IH1 T S +KNITTED N IH1 - T AH0 D +KNITTED(2) N IH1 - T IH0 D +KNITTEL N IH1 - T AH0 L +KNITTER N IH1 - T ER0 +KNITTING N IH1 - T IH0 NG +KNITTLE N IH1 - T AH0 L +KNITWEAR N IH1 T - W EH2 R +KNIVES N AY1 V Z +KNIVETON N AY1 V - T AH0 N +KNOB N AA1 B +KNOBBE N AA1 B +KNOBBY N AA1 - B IY0 +KNOBEL N OW1 - B AH0 L +KNOBLAUCH N AA1 - B L AW0 K +KNOBLE N OW1 - B AH0 L +KNOBLOCH N AA1 - B L AH0 K +KNOBLOCK N AA1 - B L AA0 K +KNOBS N AA1 B Z +KNOCH N AA1 K +KNOCHE N AA1 CH +KNOCHEL N AA1 - K AH0 L +KNOCK N AA1 K +KNOCKDOWN N AA1 K - D AW2 N +KNOCKED N AA1 K T +KNOCKING N AA1 - K IH0 NG +KNOCKOFF N AA1 K - AO2 F +KNOCKOFFS N AA1 K - AO2 F S +KNOCKOUT N AA1 K - AW2 T +KNOCKS N AA1 K S +KNODE N OW1 D +KNODEL N OW1 - D AH0 L +KNODLE N OW1 - D AH0 L +KNOEBEL N OW1 - B AH0 L +KNOEDLER N OW1 - D AH0 - L ER0 +KNOEDLER(2) N OW1 D - L ER0 +KNOELL N OW1 L +KNOFF N AO1 F +KNOGO N OW1 - G OW0 +KNOKE N OW1 K +KNOLES N OW1 L Z +KNOLL N OW1 L +KNOLL'S N OW1 L Z +KNOOP N UW1 P +KNOP N AA1 P +KNOPE N OW1 P +KNOPF N AA1 P F +KNOPF(2) N AA1 F +KNOPP N AA1 P +KNORR N AO1 R +KNOST N AA1 S T +KNOT N AA1 T +KNOTEK N OW1 - T IH0 K +KNOTH N AA1 TH +KNOTS N AA1 T S +KNOTT N AA1 T +KNOTT'S N AA1 T S +KNOTTED N AA1 - T IH0 D +KNOTTS N AA1 T S +KNOTTY N AA1 - T IY0 +KNOUFF N OW1 F +KNOUS N AO1 S +KNOUSE N AW1 S +KNOW N OW1 +KNOWED N OW1 D +KNOWER N OW1 - ER0 +KNOWING N OW1 - IH0 NG +KNOWINGLY N OW1 - IH0 NG - L IY0 +KNOWLEDGE N AA1 - L AH0 JH +KNOWLEDGE(2) N AA1 - L IH0 JH +KNOWLEDGEABLE N AA1 - L AH0 - JH AH0 - B AH0 L +KNOWLEDGEABLY N AA1 - L IH0 - JH AH0 - B L IY0 +KNOWLEDGEWARE N AA1 - L IH0 JH - W EH2 R +KNOWLES N OW1 L Z +KNOWLTON N OW1 L - T AH0 N +KNOWN N OW1 N +KNOWNS N OW1 N Z +KNOWS N OW1 Z +KNOX N AA1 K S +KNOX'S N AA1 K - S IH0 Z +KNOXVILLE N AA1 K S - V IH0 L +KNOY N OY1 +KNUCKLE N AH1 - K AH0 L +KNUCKLED N AH1 - K AH0 L D +KNUCKLES N AH1 - K AH0 L Z +KNUDSEN N UW1 D - S AH0 N +KNUDSEN'S N UW1 D - S AH0 N Z +KNUDSON N UW1 D - S AH0 N +KNUDTSON N UW1 T - S AH0 N +KNUEPPEL N UW1 - P AH0 L +KNUPP N AH1 P +KNUST N AH1 S T +KNUT N AH1 T +KNUTE N UW1 T +KNUTH N UW1 TH +KNUTS N AH1 T S +KNUTSEN N AH1 T - S AH0 N +KNUTSON K N UW1 T - S AH0 N +KNUTZEN N AH1 T - Z AH0 N +KO K OW1 +KOALA K OW0 - AA1 - L AH0 +KOALAS K OW0 - AA1 - L AH0 Z +KOBA K OW1 - B AH0 +KOBACKER K OW1 - B AE2 - K ER0 +KOBAK K OW1 - B AH0 K +KOBAYASHI K OW2 - B AA0 - Y AA1 - SH IY0 +KOBE K OW1 - B EY0 +KOBE'S K OW1 - B EY0 Z +KOBEL K OW1 - B AH0 L +KOBER K OW1 - B ER0 +KOBERSTEIN K OW1 - B ER0 - S T AY0 N +KOBERSTEIN(2) K OW1 - B ER0 - S T IY0 N +KOBES K OW1 B Z +KOBLE K OW1 - B AH0 L +KOBLER K OW1 - B AH0 L - ER0 +KOBLER(2) K OW1 - B L ER0 +KOBREN K AA1 - B R AH0 N +KOBRIN K AA1 - B R IH0 N +KOBRIN'S K AA1 - B R IH0 N Z +KOBS K AA1 B Z +KOBUS K OW1 - B AH0 S +KOBY K OW1 - B IY0 +KOBYLARZ K AH0 - B IH1 - L ER0 Z +KOBYLINSKI K AH0 - B IH0 - L IH1 N - S K IY0 +KOBZA K AA1 B - Z AH0 +KOCAK K OW1 - K AH0 K +KOCH K AO1 CH +KOCH(2) K OW1 K +KOCHAN K AA1 - K AH0 N +KOCHANEK K AA1 - K AH0 - N IH0 K +KOCHANOWSKI K AH0 - HH AH0 - N AO1 F S - K IY0 +KOCHANSKI K AH0 - HH AE1 N S - K IY0 +KOCHEL K AA1 - K AH0 L +KOCHENDORFER K AA1 - K IH0 N - D AO0 R - F ER0 +KOCHER K AO1 - CH ER0 +KOCHEVAR K AH0 - HH EH1 - V ER0 +KOCHIS K AA1 - K IH0 S +KOCHMAN K AA1 K - M AH0 N +KOCI K OW1 - S IY0 +KOCIAN K OW1 - SH AH0 N +KOCIEMBA K OW2 - S IY0 - EH1 M - B AH0 +KOCINSKI K AH0 - CH IH1 N - S K IY0 +KOCIOLEK K OW2 - S IY0 - OW1 - L EH0 K +KOCIS K OW1 - S IH0 S +KOCK K AA1 K +KOCOUREK K AH0 - K UH1 - R EH0 K +KOCSIS K AA1 K - S IH0 S +KOCUR K OW1 - K ER0 +KOCUR'S K OW1 - K ER0 Z +KOCUREK K AH0 - K Y UW1 - R EH0 K +KODACOLOR K OW1 - D AH0 - K AH2 - L ER0 +KODAK K OW1 - D AE2 K +KODAK'S K OW1 - D AE2 K S +KODAMA K OW0 - D AA1 - M AH0 +KODIAK K OW1 - D IY0 - AE2 K +KODO K OW1 - D OW0 +KOEBEL K OW1 - B AH0 L +KOEDINGER K OW1 - D IH0 - NG ER0 +KOEGEL K OW1 - G AH0 L +KOEGLER K OW1 - G AH0 - L ER0 +KOEGLER(2) K OW1 G - L ER0 +KOEHL K OW1 L +KOEHLER K OW1 - L ER0 +KOEHN K OW1 N +KOEHNE K OW1 N +KOEHNEN K OW1 - N AH0 N +KOEKI K OW1 - K IY0 +KOELLE K OW1 L +KOELLER K OW1 - L ER0 +KOELLING K OW1 - L IH0 NG +KOELSCH K OW1 L SH +KOELZER K OW1 L - Z ER0 +KOEN K OW1 N +KOENEMAN K AA1 - IY0 N - M AH0 N +KOENEN K OW1 - N AH0 N +KOENIG K ER1 - N IH0 G +KOENIGS K ER1 - N IH0 G Z +KOENIGSBERG K OW1 - N IH0 G Z - B ER0 G +KOENIGSFELD K OW1 - N IH0 G Z - F EH2 L D +KOEP K OW1 P +KOEPKE K OW1 P K +KOEPP K OW1 P +KOEPPE K OW1 P +KOEPPEL K OW1 - P AH0 L +KOEPPEN K OW1 - P AH0 N +KOEPSEL K OW1 P - S AH0 L +KOEPSELL K OW1 P - S AH0 L +KOERBER K AO1 R - B ER0 +KOERNER K AO1 R - N ER0 +KOERNKE K ER1 - N AH0 - K IY0 +KOERNKE(2) K ER1 - N IH0 K +KOESTER K OW1 - S T ER0 +KOESTERS K OW1 - S T ER0 Z +KOESTLER K OW1 - S AH0 - L ER0 +KOESTLER(2) K OW1 S - L ER0 +KOESTNER K OW1 S T - N ER0 +KOETHER K OW1 - DH ER0 +KOETJE K OW1 T JH +KOETTER K OW1 - T ER0 +KOETTING K OW1 - T IH0 NG +KOFF K AO1 F +KOFFLER K AA1 - F AH0 - L ER0 +KOFFLER(2) K AA1 F - L ER0 +KOFFMAN K AO1 F - M AH0 N +KOFI K OW1 - F IY0 +KOFLER K OW1 - F AH0 - L ER0 +KOFLER(2) K OW1 F - L ER0 +KOFOED K OW1 - F OW0 D +KOFRON K AA1 - F R AH0 N +KOGA K OW1 - G AH0 +KOGAN K OW1 - G AH0 N +KOGEL K OW1 - G AH0 L +KOGER K OW1 - G ER0 +KOGI K OW1 - G IY0 +KOGLER K OW1 - G AH0 - L ER0 +KOGLER(2) K OW1 G - L ER0 +KOGLIN K AA1 G - L IH0 N +KOGUT K OW1 - G AH0 T +KOGYO K OW1 JH - Y OW0 +KOH K OW1 +KOHAN K OW1 - HH AA0 N +KOHEN K OW1 - AH0 N +KOHL K OW1 L +KOHL'S K OW1 L Z +KOHLBECK K OW1 L - B EH2 K +KOHLBERG K OW1 L - B ER0 G +KOHLBERG'S K OW1 L - B ER0 G Z +KOHLENBERG K OW1 - L AH0 N - B ER0 G +KOHLER K OW1 - L ER0 +KOHLES K OW1 - HH AH0 L Z +KOHLHEPP K OW1 L - HH IH0 P +KOHLHOFF K OW1 L - HH AO2 F +KOHLI K OW1 - L IY0 +KOHLMAN K OW1 L - M AH0 N +KOHLMANN K OW1 L - M AH0 N +KOHLMEIER K OW1 L - M AY0 - ER0 +KOHLMEYER K OW1 L - M AY0 - ER0 +KOHLS K OW1 L Z +KOHN K AA1 N +KOHNE K OW1 N +KOHNEN K OW1 - N AH0 N +KOHNER K OW1 - N ER0 +KOHNKE K AA1 NG K +KOHOUT K OW1 - AW0 T +KOHR K AO1 R +KOHRING K AO1 - R IH0 NG +KOHRS K AO1 R Z +KOHTARO K OW0 - T AA1 - R OW0 +KOHTORO K OW0 - T AO1 - R OW0 +KOHUT K OW1 - AH0 T +KOICHI K OW0 - IY1 - CH IY0 +KOIDO K OY1 - D OW0 +KOIKE K OY1 K +KOITO K OY1 - T OW0 +KOITO(2) K OY1 - T OW2 +KOITO(3) K OW2 - IY1 - T OW2 +KOIVISTO K OY2 - V IH1 - S T OW0 +KOJAK K OW1 - JH AE2 K +KOJI K OW1 - JH IY0 +KOJIMA K AH0 - Y AY1 - M AH0 +KOK K AA1 K +KOKAN K OW1 - K AH0 N +KOKAN'S K OW1 - K AH0 N Z +KOKATE K OW2 - K AA1 - T EY2 +KOKATE'S K OW2 - K AA1 - T EY2 Z +KOKATE'S(2) K OW2 - K AA1 - T EY0 Z +KOKATE(2) K OW2 - K AA1 - T EY0 +KOKE K OW1 K +KOKEN K OW1 - K AH0 N +KOKER K OW1 - K ER0 +KOKES K OW1 K S +KOKESH K AA1 - K IH0 SH +KOKI K OW1 - K IY0 +KOKINDA K AH0 - K IH1 N - D AH0 +KOKO K OW1 - K OW0 +KOKO'S K OW1 - K OW0 Z +KOKOMO K OW1 - K AH0 - M OW2 +KOKOSCHKA K AH0 - K AO1 SH - K AH0 +KOKOSZKA K AH0 - K AA1 SH - K AH0 +KOKUSAI K AA1 K - Y UW0 - S AY2 +KOL K OW1 L +KOLAKOWSKI K AH0 - L AH0 - K AO1 F S - K IY0 +KOLANDER K AA1 - L AH0 N - D ER0 +KOLAR K OW1 - L ER0 +KOLARIK K AH0 - L AA1 - R IH0 K +KOLASA K AH0 - L AA1 - S AH0 +KOLASINSKI K AH0 - L AH0 - S IH1 N - S K IY0 +KOLB K OW1 L B +KOLBE K OW1 L B +KOLBECK K AA1 L - B EH0 K +KOLBER K OW1 L - B ER0 +KOLBERG K OW1 L - B ER0 G +KOLBERT K OW1 L - B ER0 T +KOLBO K OW1 L - B OW0 +KOLDEN K OW1 L - D AH0 N +KOLE K OW1 L +KOLEK K OW1 - L EH0 K +KOLENDA K AH0 - L EH1 N - D AH0 +KOLESAR K AH0 - L EH1 - S ER0 +KOLICH K AA1 - L IH0 HH +KOLIN K OW1 - L IH0 N +KOLINSKI K AH0 - L IH1 N - S K IY0 +KOLK K OW1 K +KOLKA K OW1 L - K AH0 +KOLKER K OW1 - K ER0 +KOLL K AA1 L +KOLLAR K AA1 - L ER0 +KOLLASCH K AA1 - L AH0 SH +KOLLATH K AA1 - L AH0 TH +KOLLE K AA1 L +KOLLEK K AO1 - L EH0 K +KOLLEK(2) K OW1 - L EH0 K +KOLLER K AA1 - L ER0 +KOLLI K AA1 - L IY0 +KOLLING K AA1 - L IH0 NG +KOLLMAN K AA1 L - M AH0 N +KOLLMANN K AA1 L - M AH0 N +KOLLMEYER K AA1 L - M AY0 - ER0 +KOLLMORGEN K OW0 L - M AO1 R - G AH0 N +KOLM K OW1 M +KOLMAN K AA1 L - M AH0 N +KOLODNY K AH0 - L AA1 D - N IY0 +KOLODZIEJ K AH0 - L AA1 D - Z IY0 JH +KOLODZIEJSKI K AH0 - L AA2 - JH IY0 - EY1 S - K IY0 +KOLOJEJCHICK K OW2 - L OW0 - JH EY1 - CH IH0 K +KOLOKOFF K AA1 - L AH0 - K AO2 F +KOLOSKI K AH0 - L AW1 S - K IY0 +KOLOWICH K AA1 - L AH0 - W IH0 CH +KOLP K OW1 L P +KOLSKI K OW1 L - S K IY0 +KOLSKY K OW1 L - S K IY0 +KOLSTAD K OW1 L - S T AH0 D +KOLTER K OW1 L - T ER0 +KOLTERMAN K OW1 L - T ER0 - M AH0 N +KOLTON K OW1 L - T AH0 N +KOLTS K OW1 L T S +KOLTZ K OW1 L T S +KOMABA K OW0 - M AA1 - B AH0 +KOMAG K OW1 - M AE0 G +KOMAN K OW1 - M AH0 N +KOMANSKY K OW0 - M AE1 N - S K IY0 +KOMAR K OW1 - M ER0 +KOMARA K OW0 - M AA1 - R AH0 +KOMAREK K OW0 - M AA1 - R EH0 K +KOMARIK K OW0 - M AA1 - R IH0 K +KOMARIK'S K OW0 - M AA1 - R IH0 K S +KOMATSU K OW0 - M AA1 T - S UW1 +KOMBAT K AA1 M - B AE0 T +KOMER K OW1 - M ER0 +KOMERCNI K OW2 - M ER1 CH - N IY0 +KOMI K OW1 - M IY0 +KOMINE K OW1 - M AY2 N +KOMINEFT K AA1 - M IH0 - N EH0 F T +KOMISAR K AH0 - M IH1 - S ER0 +KOMISAR(2) K AA1 - M IH0 - S AA0 R +KOMMER K AA1 - M ER0 +KOMODO K AH0 - M OW1 - D OW0 +KOMODO(2) K OW0 - M OW1 - D OW0 +KOMORI K OW0 - M AO1 - R IY0 +KOMORNY K OW0 - M AO1 R - N IY0 +KOMOROWSKI K AH0 - M ER0 - AO1 F S - K IY0 +KOMOTO K OW0 - M OW1 - T OW0 +KOMP K AA1 M P +KOMPANEK K AA2 M - P AA1 - N EH2 K +KOMSOMOL K AA1 M - S OW0 - M AH0 L +KOMSOMOL'S K AA1 M - S OW0 - M AH0 L Z +KOMURA K OW2 - M UH1 - R AH0 +KON K AA1 N +KONA K OW1 - N AH0 +KONAGA K AH0 - N AA1 - G AH0 +KONARSKI K AH0 - N AA1 R S - K IY0 +KONCZAL K AA1 N - CH AH0 L +KONDAS K AA1 N - D AH0 Z +KONDO K AA1 N - D OW0 +KONDRACKI K AH0 N - D R AA1 T S - K IY0 +KONDRAT K AA1 N - D R AH0 T +KONECNY K AH0 - N EH1 K - N IY0 +KONEN K AA1 - N AH0 N +KONG K AO1 NG +KONG'S K AO1 NG Z +KONG'S(2) K AO1 NG G Z +KONG(2) K AO1 NG G +KONGSBERG K AO1 NG Z - B ER0 G +KONGSBERG'S K AO1 NG Z - B ER0 G Z +KONGSBERG'S(2) K AO1 NG G Z - B ER0 G Z +KONGSBERG(2) K AO1 NG G Z - B ER0 G +KONICA K AA1 - N IH0 - K AH0 +KONICEK K AA1 - N IH0 - CH EH2 K +KONICKI K AH0 - N IH1 T S - K IY0 +KONIECZKA K AH0 - N IY1 CH - K AH0 +KONIECZNY K AH0 - N IY1 CH - N IY0 +KONIG K AA1 - N IH0 G +KONING K OW1 - N IH0 NG +KONINKLIJKE K AA2 - N IH0 NG - K L IY1 - K IY0 +KONISHI K OW0 - N IY1 - SH IY0 +KONISHIROKU K AA2 - N IH2 - SH IH0 - R OW1 - K UW2 +KONITZER K AA1 - N IH0 T - Z ER0 +KONKEL K AA1 NG - K AH0 L +KONKLE K AA1 NG - K AH0 L +KONKOL K AA1 NG - K AO0 L +KONNER K AA1 - N ER0 +KONO K OW1 - N OW0 +KONOLD K AA1 - N OW0 L D +KONOP K OW1 - N AH0 P +KONOPKA K AH0 - N OW1 P - K AH0 +KONRAD K AA1 N - R AH0 D +KONRATH K AA1 N - R AH0 TH +KONSTANTIN K AA1 N - S T IH0 N - T IY2 N +KONSULTAT K AA2 N - S AH0 L - T AA1 T +KONTOS K AA1 N - T OW0 Z +KONTRA K AA1 N - T R AH0 +KONTRAS K AA1 N - T R AH0 S +KONTROLLBANK K AA1 N - T R AH0 L - B AE2 NG K +KONWINSKI K AH0 N - V IH1 N - S K IY0 +KONZ K AA1 N Z +KONZEN K AA1 N - Z AH0 N +KONZI K AA1 N - Z IY0 +KONZI'S K AA1 N - Z IY0 Z +KOO K UW1 +KOOB K UW1 B +KOOGLER K UW1 G - L ER0 +KOOI K UW1 - IY0 +KOOIKER K UW1 - IH0 - K ER0 +KOOIMAN K UW1 - IH0 - M AH0 N +KOOISTRA K UW0 - IH1 Z - T R AH0 +KOOK K UW1 K +KOOKEN K UW1 - K AH0 N +KOOKER K UH1 - K ER0 +KOOKS K UW1 K S +KOOKY K UW1 - K IY0 +KOOL K UW1 L +KOOLHAAS K UW1 L - HH AA0 S +KOON K UW1 N +KOON'S K UW1 N Z +KOONCE K UW1 N S +KOONE K UW1 N +KOONING K UW1 - N IH0 NG +KOONS K UW1 N Z +KOONTS K UW1 N T S +KOONTZ K UW1 N T S +KOOP K UW1 P +KOOP'S K UW1 P S +KOOPMAN K UW1 P - M AH0 N +KOOPMANN K UW1 P - M AH0 N +KOOPS K UW1 P S +KOOR K UW1 R +KOORS K UH1 R Z +KOOS K UW1 Z +KOOSER K UW1 - Z ER0 +KOOTENAY K UW1 - T AH0 - N EY2 +KOOY K UW1 - IY0 +KOOYMAN K AA1 - OY0 - M AH0 N +KOPACZ K AA1 - P AH0 CH +KOPAS K OW1 - P AH0 Z +KOPCZYNSKI K AH0 P - CH IH1 N - S K IY0 +KOPE K OW1 P +KOPEC K OW1 - P IH0 K +KOPECKY K AH0 - P EH1 T S - K IY0 +KOPEK K OW1 - P AH0 K +KOPEKS K OW1 - P AH0 K S +KOPEL K OW1 - P AH0 L +KOPELMAN K OW1 - P AH0 L - M AH0 N +KOPER K OW1 - P ER0 +KOPERA K AH0 - P IH1 - R AH0 +KOPERSKI K AH0 - P ER1 S - K IY0 +KOPETSKI K AH0 - P EH1 T S - K IY0 +KOPF K AO1 P F +KOPINSKI K AH0 - P IH1 N - S K IY0 +KOPISCHKE K AH0 - P IH1 SH - K IY0 +KOPIT K AA1 - P IH0 T +KOPKA K OW1 P - K AH0 +KOPKE K OW1 P K +KOPKO K OW1 P - K OW0 +KOPLAN K AA1 P - L AH0 N +KOPLIN K AA1 P - L IH0 N +KOPLOVITZ K AA1 - P L AH0 - V IH0 T S +KOPP K AA1 P +KOPPE K AA1 P +KOPPEL K AA1 - P AH0 L +KOPPEL'S K AA1 - P AH0 L Z +KOPPELL K AA1 - P AH0 L +KOPPELMAN K AA1 - P AH0 L - M AH0 N +KOPPEN K AA1 - P AH0 N +KOPPENHAVER K AA1 - P IH0 N - HH AH0 - V ER0 +KOPPER K AA1 - P ER0 +KOPPERS K AA1 - P ER0 Z +KOPPERS' K AA1 - P ER0 Z +KOPPES K AA1 P S +KOPPLE K AA1 - P AH0 L +KOPPLIN K AA1 P - L IH0 N +KOPRIVA K AA1 - P R IH0 - V AH0 +KOPROWSKI K AH0 P - R AO1 F S - K IY0 +KOPS K AA1 P S +KOPY K AA1 - P IY0 +KORA K AO1 - R AH0 +KORAL K AO1 - R AH0 L +KORAN K AO0 - R AA1 N +KORANDA K ER0 - AE1 N - D AH0 +KORANIC K AO0 - R AE1 - N IH0 K +KORB K AO1 R B +KORBA K AO1 R - B AH0 +KORBEL K AO1 R - B AH0 L +KORBER K AO1 R - B ER0 +KORBREN K AO1 R - B R EH0 N +KORBY K AO1 R - B IY0 +KORCZAK K AO1 R - CH AE0 K +KORDA K AO1 R - D AH0 +KOREA K AO0 - R IY1 - AH0 +KOREA'S K AO0 - R IY1 - AH0 Z +KOREA'S(2) K R IY1 - AH0 Z +KOREA'S(3) K ER0 - R IY1 - AH0 Z +KOREA(2) K R IY1 - AH0 +KOREA(3) K ER0 - R IY1 - AH0 +KOREAGATE K AO0 - R IY1 - AH0 - G EY2 T +KOREAGATE(2) K ER0 - R IY1 - AH0 - G EY2 T +KOREAN K AO0 - R IY1 - AH0 N +KOREAN'S K R IY1 - AH0 N Z +KOREAN'S(2) K ER0 - IY1 - AH0 N Z +KOREAN(2) K R IY1 - AH0 N +KOREAN(3) K ER0 - R IY1 - AH0 N +KOREANS K AO0 - R IY1 - AH0 N Z +KOREANS' K AO0 - R IY1 - AH0 N Z +KOREANS'(2) K R IY1 - AH0 N Z +KOREANS'(3) K ER0 - R IY1 - AH0 N Z +KOREANS(2) K R IY1 - AH0 N Z +KOREANS(3) K ER0 - R IY1 - AH0 N Z +KOREAS K AO1 - R IY0 - AH0 Z +KOREAS(2) K R IY0 - AH0 Z +KOREAS(3) K ER0 - R IY0 - AH0 Z +KOREATOWN K ER0 - IY1 - AH0 - T AW2 N +KORELL K AO1 - R EH0 L +KOREN K AO1 - R AH0 N +KORENEK K AO1 - R IH0 - N IH0 K +KORESH K AO2 - R EH1 SH +KORESH'S K AO2 - R EH1 - SH AH0 Z +KORET K AO1 - R AH0 T +KOREY K AO1 - R IY0 +KORF K AO1 R F +KORFF K AO1 R F +KORFHAGE K AO1 R F - HH IH0 JH +KORHONEN K AO1 R - HH AH0 - N AH0 N +KORINEK K AO1 - R IH0 - N IH0 K +KORMAN K AO1 R - M AH0 N +KORMOS K AO1 R - M OW0 Z +KORN K AO1 R N +KORNACKI K ER0 - N AA1 T S - K IY0 +KORNBERG K AO1 R N - B ER0 G +KORNBLUM K AO1 R N - B L AH0 M +KORNBLUTH K AO1 R N - B L UW0 TH +KORNEGAY K AO1 R - N IH0 - G EY0 +KORNER K AO1 R - N ER0 +KORNFELD K AO1 R N - F EH0 L D +KORNHAUSER K AO1 R N - HH AW0 - Z ER0 +KORNREICH K AO1 R N - R AY0 K +KORNS K AO1 N Z +KOROL K AO1 - R AO0 L +KOROLOGOS K AO0 - R AA2 - L OW1 - G OW0 S +KORONA K ER0 - OW1 - N AH0 +KOROTICH K AO1 - R AH0 - T IH0 CH +KORPELA K ER0 - P IY1 - L AH0 +KORPI K AO1 R - P IY0 +KORRY K AO1 - R IY0 +KORRY'S K AO1 - R IY0 Z +KORSON K AO1 R - S AH0 N +KORT K AO1 R T +KORTE K AO1 R T +KORTEN K AO1 R - T AH0 N +KORTH K AO1 R TH +KORTHALS K AO1 R - TH AH0 L Z +KORTMAN K AO1 R T - M AH0 N +KORTUM K AO1 R - T AH0 M +KORTZ K AO1 R T S +KORUNA K AO0 - R UW1 - N AH0 +KORVER K AO1 R - V ER0 +KORY K AO1 - R IY0 +KORYAGIN K AO2 R - Y AA1 - G IH0 N +KORZENIEWSKI K ER0 - Z IH2 - N IY0 - EH1 F S - K IY0 +KORZENIEWSKI(2) K AO2 R - Z AH0 - N UW1 F S - K IY0 +KOS K AA1 S +KOSA K OW1 - S AH0 +KOSAK K OW1 - S AH0 K +KOSAKOWSKI K AH0 - S AH0 - K AO1 F S - K IY0 +KOSAN K OW1 - Z AH0 N +KOSANKE K AA1 - S AH0 NG K +KOSANOVICH K AH0 - S AE1 - N AH0 - V IH0 CH +KOSAR K OW1 - S ER0 +KOSBERG K AO1 Z - B ER0 G +KOSBIE K AA1 Z - B IY0 +KOSCH K AO1 SH +KOSCHECK K AO1 S - CH EH0 K +KOSCHECK'S K AO1 S - CH EH0 K S +KOSCIELNIAK K AH0 S - CH IY1 L - N IY0 - AE0 K +KOSCINSKI K AH0 S - CH IH1 N - S K IY0 +KOSCO K OW1 - S K OW0 +KOSECOFF K OW1 - S AH0 - K AO0 F +KOSEK K OW1 - S EH0 K +KOSEL K OW1 - S AH0 L +KOSER K OW1 - Z ER0 +KOSH K AA1 SH +KOSHER K OW1 - SH ER0 +KOSIBA K OW0 - S IY1 - B AH0 +KOSIER K OW1 - S IY0 - ER0 +KOSIK K OW1 - S IH0 K +KOSIN K OW1 - S IH0 N +KOSINSKI K AH0 - S IH1 N - S K IY0 +KOSKA K OW1 S - K AH0 +KOSKELA K AH0 - S K IY1 - L AH0 +KOSKEY K AA1 S - K IY0 +KOSKI K AW1 S - K IY0 +KOSKINEN K AA1 - S K IH0 - N AH0 N +KOSKO K OW1 - S K OW0 +KOSKOTAS K AO2 - S K OW1 - T AH0 S +KOSKY K AA1 S - K IY0 +KOSLOSKI K AH0 S - L AW1 S - K IY0 +KOSLOSKY K AH0 S - L OW1 S - K IY0 +KOSLOW K AA1 S - L OW0 +KOSLOW'S K AA1 Z - L OW2 Z +KOSLOWSKI K AH0 S - L AO1 F S - K IY0 +KOSMAN K AA1 S - M AH0 N +KOSMATKA K AH0 S - M AA1 T - K AH0 +KOSMETSKY K AA2 Z - M EH1 T S - K IY0 +KOSMETSKY'S K AA2 Z - M EH1 T - S K IY0 Z +KOSMICKI K AH0 S - M IH1 T S - K IY0 +KOSNOVSKY K AA2 Z - N AA1 F S - K IY0 +KOSNOVSKY'S K AA2 Z - N AA1 F - S K IY0 Z +KOSOVO K OW1 - S OW0 - V OW2 +KOSOWSKI K AH0 - S AO1 F S - K IY0 +KOSOWSKY K AH0 - S AW1 S - K IY0 +KOSS K AO1 S +KOSSMAN K AO1 S - M AH0 N +KOSSOW K AA1 - S OW0 +KOSSUTH K AA1 - S AH0 TH +KOST K AA1 S T +KOSTA K OW1 - S T AH0 +KOSTAL K AA1 - S T AH0 L +KOSTAS K OW1 - S T AH0 Z +KOSTECKI K AH0 - S T EH1 T S - K IY0 +KOSTEK K AA1 - S T EH0 K +KOSTELECKY K AH0 - S T EH0 - L EH1 T S - K IY0 +KOSTELNIK K AH0 - S T EH1 L - N IH0 K +KOSTER K AA1 - S T ER0 +KOSTIC K AA1 - S T IH0 K +KOSTICK K OW1 - S T IH0 K +KOSTKA K AA1 - S T K AH0 +KOSTMAYER K AO1 S T - M EY2 - ER0 +KOSTOFF K AA1 S T - AO0 F +KOSTRZEWA K AH0 S - T R AH0 - Z UW1 - AH0 +KOSTRZEWSKI K AO2 - S T ER0 - Z EH1 F S - K IY0 +KOSUB K OW1 - S AH0 B +KOSY K OW1 - S IY0 +KOSYAKOV K OW1 - S Y AH0 - K AA0 V +KOSYGIN K OW1 - S IH0 - G IH0 N +KOSYGIN(2) K OW1 - S IY0 - G IH0 N +KOT K AA1 T +KOTARA K OW0 - T AA1 - R AH0 +KOTARSKI K AH0 - T AA1 R S - K IY0 +KOTAS K OW1 - T AH0 Z +KOTCH K AA1 CH +KOTE K OW1 T +KOTECKI K AH0 - T EH1 T S - K IY0 +KOTEK K OW1 - T EH2 K +KOTELES K AA1 - T EH0 - L EH0 Z +KOTH K AA1 TH +KOTHARI K AA1 - TH ER0 - IY0 +KOTHE K OW1 DH +KOTILA K AH0 - T AY1 - L AH0 +KOTLARZ K AA1 T - L ER0 Z +KOTLER K OW1 - T AH0 L - ER0 +KOTLER(2) K AA1 T - L ER0 +KOTLOWITZ K AA1 T - L AH0 - W IH0 T S +KOTO K OW1 - T OW0 +KOTOWSKI K AH0 - T AO1 F S - K IY0 +KOTSONIS K AE2 T - S OW1 - N AH0 S +KOTSONIS' K AE2 T - S OW1 - N AH0 S +KOTSONIS'(2) K OW0 T - S OW1 - N AH0 S +KOTSONIS'S K AE2 T - S OW1 - N AH0 - S IH0 Z +KOTSONIS'S(2) K OW0 T - S OW1 - N AH0 - S IH0 Z +KOTSONIS(2) K OW0 T - S OW1 - N AH0 S +KOTT K AA1 T +KOTTER K AA1 - T ER0 +KOTTKE K AA1 T - K IY0 +KOTTLER K AA1 T - L ER0 +KOTTWITZ K AA1 T - W IH0 T S +KOTULA K AH0 - T UW1 - L AH0 +KOTZ K AA1 T S +KOUBA K UW1 - B AH0 +KOUDELKA K AW0 - D EH1 L - K AH0 +KOUGH K AW1 +KOUNS K AW1 N Z +KOUNTZ K AW1 N T S +KOURI K OW0 - UH1 - R IY0 +KOURIL K UW1 - R AH0 L +KOUROU K UW1 - R UW2 +KOURY K AW1 - R IY0 +KOUYATE K AW2 - Y AA1 - T EY2 +KOVAC K OW1 - V AH0 K +KOVACEVIC K AH0 - V AH0 - CH EH1 - V IH0 K +KOVACEVICH K AH0 - V AA1 - CH IH0 - V IH0 CH +KOVACH K OW1 - V AA0 K +KOVACH'S K OW1 - V AA0 K S +KOVACIC K AH0 - V AA1 - K IH0 K +KOVACICH K AH0 - V AA1 - CH IH0 HH +KOVACIK K AA1 - V AH0 - CH IH0 K +KOVACK K AA1 - V AH0 K +KOVACS K OW1 - V AE0 K S +KOVAKS K OW1 - V AE0 K S +KOVAL K OW1 - V AH0 L +KOVALCHIK K AH0 - V AA1 L - HH IH0 K +KOVALCIK K AA1 - V AH0 L - CH IH0 K +KOVALESKI K AH0 - V AH0 - L EH1 S - K IY0 +KOVALIK K AH0 - V AA1 - L IH0 K +KOVALSKY K AH0 - V AA1 L - S K IY0 +KOVALYOV K OW1 - V AA0 - L Y AH0 V +KOVAR K OW1 - V ER0 +KOVARIK K AH0 - V AA1 - R IH0 K +KOVATCH K AA1 - V AH0 CH +KOVATS K OW1 - V AH0 T S +KOVEN K OW1 - V AH0 N +KOVER K OW1 - V ER0 +KOVERSADA K AH2 - V ER0 - S AA1 - T AH0 +KOVICH K AA1 - V IH0 CH +KOWABUNGA K AW2 - AH0 - B AH1 NG - G AH0 +KOWAL K AW1 - AH0 L +KOWALCHUK K AW0 - AA1 L - HH AH0 K +KOWALCZYK K AW1 - AH0 L - CH IH0 K +KOWALESKI K AW0 - AH0 - L EH1 S - K IY0 +KOWALEWSKI K AW0 - AH0 - L EH1 F S - K IY0 +KOWALIK K AW0 - AA1 - L IH0 K +KOWALKE K AA1 - W AO2 K +KOWALKOWSKI K AA1 - W AO0 - K AO2 F S - K IY0 +KOWALL K AW1 - AH0 L +KOWALSKI K AH0 - W AA1 L - S K IY0 +KOWALSKY K AW0 - AA1 L - S K IY0 +KOWITZ K AA1 - W IH0 T S +KOWNACKI K AW2 - N AA1 - K IY0 +KOWTOW K AW1 - T AW1 +KOWTOW(2) K OW1 - T OW1 +KOYAMA K OW0 - Y AA1 - M AH0 +KOYO K OY1 - OW0 +KOZA K OW1 - Z AH0 +KOZAK K OW1 - Z AH0 K +KOZAKIEWICZ K AH0 - Z AA1 - K AH0 - V IH0 CH +KOZAR K OW1 - Z ER0 +KOZBERG K AA1 Z - B ER0 G +KOZEL K OW1 - Z AH0 L +KOZEMCHAK K OW2 - Z EH1 M - CH AE2 K +KOZICKI K AH0 - Z IH1 T S - K IY0 +KOZIEL K AA1 - Z IY0 L +KOZIK K OW1 - Z IH0 K +KOZIKOWSKI K AH0 - Z IH0 - K AO1 F S - K IY0 +KOZINSKI K AH0 - Z IH1 N - S K IY0 +KOZIOL K AA1 - Z IY0 - AO0 L +KOZLIK K AA1 Z - L IH0 K +KOZLOFF K AA1 Z - L AO0 F +KOZLOSKI K AH0 Z - L AW1 S - K IY0 +KOZLOW K AA1 Z - L OW0 +KOZLOWSKI K AH0 Z - L AO1 F S - K IY0 +KOZMA K OW1 Z - M AH0 +KOZMINSKI K AH0 Z - M IH1 N - S K IY0 +KOZNOVSKY K AA2 Z - N AA1 F S - K IY0 +KOZNOVSKY'S K AA2 Z - N AA1 F - S K IY0 Z +KOZO K OW1 - Z OW0 +KOZOL K OW1 - Z AH0 L +KOZUB K OW1 - Z AH0 B +KOZUCH K AA1 - Z AH0 HH +KOZYREV K AA1 - Z ER0 - EH2 V +KOZYREV'S K AA1 - Z ER0 - EH2 V Z +KRAAI K R AA1 - IY0 +KRAATZ K R AA1 T S +KRABBE K R AE1 B +KRABBENHOFT K R AE1 - B IH0 N - HH AH0 F T +KRABILL K R AE1 - B AH0 L +KRACH K R AE1 CH +KRACHT K R AE1 K T +KRACK K R AE1 K +KRACKE K R AE1 K +KRAEGER K R EH1 - G ER0 +KRAEMER K R EH1 - M ER0 +KRAEUTLER K R AW1 T - L ER0 +KRAFFT K R AE1 F T +KRAFT K R AE1 F T +KRAFT'S K R AE1 F T S +KRAFTWERK K R AE1 F T - W ER0 K +KRAGE K R EY1 JH +KRAGER K R EY1 - G ER0 +KRAGH K R AE1 G +KRAGT K R AE1 G T +KRAH K R AA1 +KRAHENBUHL K R AA1 - IH0 N - B AH0 L +KRAHL K R AA1 L +KRAHN K R AE1 N +KRAIN K R EY1 N +KRAJEWSKI K R AY0 - EH1 F S - K IY0 +KRAJICEK K R AY1 - IH0 - CH EH0 K +KRAJINA K R AY1 - N AH0 +KRAJINA'S K R AY1 - N AH0 Z +KRAJINA'S(2) K R AY0 - IY1 - N AH0 Z +KRAJINA(2) K R AY0 - IY1 - N AH0 +KRAKER K R EY1 - K ER0 +KRAKOW K R AA1 - K AW0 +KRAKOW(2) K R AA1 - K AA0 V +KRAKOW(3) K R AE1 - K AW0 +KRAKOWER K R AE1 - K OW0 - ER0 +KRAKOWSKI K R AH0 - K AO1 F S - K IY0 +KRAL K R AE1 L +KRALICEK K R AA1 - L IH0 - CH EH0 K +KRALIK K R AA1 - L IH0 K +KRALL K R AO1 L +KRAM K R AE1 M +KRAMAR K R AE1 - M ER0 +KRAMER K R EY1 - M ER0 +KRAMER'S K R EY1 - M ER0 Z +KRAMLICH K R AE1 M - L IH0 K +KRAMM K R AE1 M +KRAMME K R AE1 M +KRAMMER K R AE1 - M ER0 +KRAMMES K R AE1 M Z +KRAMP K R AE1 M P +KRAMPE K R AE1 M P +KRANDALL K R AE1 N - D AH0 L +KRANE K R EY1 N +KRANER K R EY1 - N ER0 +KRANICH K R AE1 - N IH0 CH +KRANS K R AE1 N Z +KRANTZ K R AE1 N T S +KRANZ K R AE1 N Z +KRANZLER K R AE1 N Z - L ER0 +KRAPELS K R AE1 - P AH0 L Z +KRAPF K R AE1 P F +KRAPP K R AE1 P +KRAPRAYOON K R AE1 - P R AA0 - Y UW0 N +KRAS K R AE1 S +KRASINSKI K R AH0 - S IH1 N - S K IY0 +KRASKA K R AA1 S - K AH0 +KRASNER K R AE1 S - N ER0 +KRASNOFF K R AE1 S N - AO0 F +KRASNOW K R AA1 S - N OW0 +KRASNOYARSK K R AE0 - S N OY1 - AA0 R S K +KRASNY K R AE1 Z - N IY0 +KRASOWSKI K R AH0 - S AO1 F S - K IY0 +KRASS K R AE1 S +KRASZEWSKI K R AH0 - SH EH1 F S - K IY0 +KRAT K R AE1 T +KRATKY K R AE1 T - K IY0 +KRATOCHVIL K R AE1 - T AH0 K - V AH0 L +KRATT K R AE1 T +KRATZ K R AE1 T S +KRATZER K R EY1 T - Z ER0 +KRATZKE K R AE1 T S - K IY0 +KRAUER K R AW1 R +KRAUS K R AW1 S +KRAUSE K R AO1 S +KRAUSER K R AW1 - S ER0 +KRAUSHAAR K R AW1 - SH AA2 R +KRAUSKOPF K R AW1 S K - AO0 F +KRAUSS K R AW1 S +KRAUSSE K R AO1 S +KRAUSZ K R AW1 SH +KRAUT K R AW1 T +KRAUTER K R AW1 - T ER0 +KRAUTH K R AO1 TH +KRAUTHAMMER K R AW1 T - HH AE2 - M ER0 +KRAUZE K R AW1 Z +KRAVCHUK K R AA1 V - CH UH2 K +KRAVCHUK'S K R AA1 V - CH UH2 K Z +KRAVETZ K R AE1 - V IH0 T S +KRAVIS K R AE1 - V IH0 S +KRAVITZ K R AE1 - V IH0 T S +KRAWCCYKIEWI K R AW2 - CH IH0 - K UW1 - IY0 +KRAWCHUK K R AO1 - CH AH0 K +KRAWCZAK K R AA1 V - CH AE0 K +KRAWCZYK K R AA1 V - CH IH0 K +KRAWIEC K R AA1 - V IY0 K +KRAWITZ K R AA1 - W IH0 T S +KRAY K R EY1 +KRAYNAK K R EY1 - N AH0 K +KREAGER K R IY1 - G ER0 +KREAMER K R IY1 - M ER0 +KREBBS K R EH1 B Z +KREBS K R EH1 B Z +KREBS'S K R EH1 B - Z IH0 Z +KREBSBACH K R EH1 B Z - B AA0 K +KRECH K R EH1 K +KRECKO K R EH1 - K OW0 +KREDIETBANK K R EH0 - D IY0 T - B AE1 NG K +KREDIT K R EH1 - T IH0 T +KREDITANSTALT K R EH0 - D IH1 - T AH2 N - S T AO2 L T +KREEGER K R IY1 - G ER0 +KREFT K R EH1 F T +KREG K R EH1 G +KREGEL K R EH1 - G AH0 L +KREGER K R IY1 - G ER0 +KREH K R EH1 +KREHBIEL K R EH1 - B IY0 L +KREHER K R EH1 R +KREICHER K R AY1 - K ER0 +KREIDER K R AY1 - D ER0 +KREIDLER K R AY1 - D AH0 - L ER0 +KREIDLER(2) K R AY1 D - L ER0 +KREIFELS K R AY1 - F AH0 L Z +KREIG K R IY1 G +KREIGER K R AY1 - G ER0 +KREILING K R AY1 - L IH0 NG +KREIMER K R AY1 - M ER0 +KREIN K R EY1 N +KREINER K R AY1 - N ER0 +KREIS K R IY1 Z +KREISBERG K R AY1 S - B ER0 G +KREISCHER K R AY1 - SH ER0 +KREISEL K R AY1 - S AH0 L +KREISER K R AY1 - S ER0 +KREISHER K R IY1 - IH0 - SH ER0 +KREISLER K R AY1 S - L ER0 +KREISMAN K R AY1 S - M AH0 N +KREISS K R AY1 S +KREITER K R AY1 - T ER0 +KREITMAN K R AY1 T - M AH0 N +KREITNER K R AY1 T - N ER0 +KREITZ K R IY1 T S +KREITZBERG K R AY1 T S - B ER0 G +KREITZER K R AY1 T - Z ER0 +KREJCI K R EH1 JH - S IY0 +KRELL K R EH1 L +KREMER K R IY1 - M ER0 +KREMERS K R IY1 - M ER0 Z +KREMLIN K R EH1 M - L AH0 N +KREMLIN'S K R EH1 M - L IH0 N Z +KREMLIN(2) K R EH1 M - L IH0 N +KREMLINOLOGIST K R EH2 M - L IH0 - N AA1 - L AH0 - JH IH0 S T +KREMLINOLOGISTS K R EH2 M - L IH0 - N AA1 - L AH0 - JH IH0 S T S +KREMLINOLOGISTS(2) K R EH2 M - L IH0 - N AA1 - L AH0 - JH IH0 S S +KREMLINOLOGISTS(3) K R EH2 M - L IH0 - N AA1 - L AH0 - JH IH0 S +KREMPA K R EH1 M - P AH0 +KREMPASKY K R IH0 M - P AA1 S - K IY0 +KREN K R EH1 N +KRENEK K R EH1 - N IH0 K +KRENGEL K R EH1 NG - G AH0 L +KRENIK K R EH1 - N IH0 K +KRENKE K R EH1 NG K +KRENN K R EH1 N +KRENTZ K R EH1 N T S +KRENWINKLE K R EH1 N - W IH2 NG - K AH0 L +KRENWINKLE'S K R EH1 N - W IH2 NG - K AH0 L Z +KRENZ K R EH1 N Z +KRENZER K R EH1 N - Z ER0 +KREPPS K R EH1 P S +KREPS K R EH1 P S +KRESA K R IY1 - S ER0 +KRESGE K R EH1 S - G IY0 +KRESLOVSKY K R EH0 S - L AO1 V S - K IY0 +KRESS K R EH1 S +KRESSE K R EH1 S +KRESSER K R EH1 - S ER0 +KRESSIN K R EH1 - S IH0 N +KRESSLER K R EH1 S - L ER0 +KRETCHMAN K R EH1 CH - M AH0 N +KRETCHMER K R EH1 CH - M ER0 +KRETSCH K R EH1 CH +KRETSCHMAR K R EH1 CH - M ER0 +KRETSCHMER K R EH1 CH - M ER0 +KRETZ K R EH1 T S +KRETZER K R EH1 T - Z ER0 +KRETZSCHMAR K R EH1 CH - M ER0 +KREUGER K R OY1 - G ER0 +KREUL K R UW1 L +KREUSER K R OY1 - S ER0 +KREUTER K R OY1 - T ER0 +KREUTZ K R UW1 T S +KREUZER K R UW1 - Z ER0 +KREWSON K R UW1 - S AH0 N +KREY K R EY1 +KRIBS K R IH1 B Z +KRICHBAUM K R IH1 K - B AW0 M +KRICK K R IH1 K +KRIDER K R AY1 - D ER0 +KRIDLER K R IH1 D - L ER0 +KRIEBEL K R IY1 - B AH0 L +KRIEG K R IY1 G +KRIEGEL K R IY1 - G AH0 L +KRIEGER K R IY1 - G ER0 +KRIEGER'S K R IY1 - G ER0 Z +KRIENKE K R IY1 NG K +KRIER K R AY1 - ER0 +KRIESE K R IY1 Z +KRIESEL K R IY1 - S AH0 L +KRIETE K R IY1 T +KRIGBAUM K R IH1 G - B AW2 M +KRIGER K R AY1 - G ER0 +KRIGSTEN K R IH1 G - S T IH0 N +KRIKALEV K R IH1 - K AH0 - L EH2 V +KRIKALEV'S K R IH1 - K AH0 - L EH2 V Z +KRIKORIAN K R IH0 - K AO1 - R IY0 - AH0 N +KRILL K R IH1 L +KRIM K R IH1 M +KRIMMEL K R IH1 - M AH0 L +KRINER K R AY1 - N ER0 +KRING K R IH1 NG +KRINGEN K R IH1 - NG AH0 N +KRINGLEY K R IH1 NG - G L IY0 +KRINGS K R IH1 NG Z +KRINKE K R IH1 NG K +KRINSKY K R IH1 N S - K IY0 +KRIS K R IH1 S +KRISCH K R IH1 SH +KRISCHER K R IH1 - SH ER0 +KRISE K R AY1 Z +KRISHER K R IH1 - SH ER0 +KRISHNA K R IH1 SH - N AH0 +KRISHNA(2) K R IY1 SH - N AH0 +KRISHNAN K R IH1 SH - N AH0 N +KRISKO K R IH1 - S K OW0 +KRISPIES K R IH1 - S P IY0 Z +KRISS K R IH1 S +KRIST K R IH1 S T +KRISTA K R IH1 - S T AH0 +KRISTALLNACHT K R IH1 - S T AH0 L - N AA2 K T +KRISTEN K R IH1 - S AH0 N +KRISTENSEN K R IH1 - S T AH0 N - S AH0 N +KRISTI K R IH1 - S T IY0 +KRISTI'S K R IH1 - S T IY0 Z +KRISTIANSEN K R IH1 S - CH AH0 N - S AH0 N +KRISTIE K R IH1 - S T IY0 +KRISTIN K R IH1 - S T IH0 N +KRISTINE K R IH0 - S T IY1 N +KRISTOF K R IH1 - S T AH0 F +KRISTOFF K R IH1 S T - AO0 F +KRISTOFFE K R IH1 S T - AO0 F +KRISTOFFERSON K R IH2 S T - AO1 - F ER0 - S AH0 N +KRISTOL K R IH1 - S T AH0 L +KRISTOL'S K R IH1 - S T AH0 L Z +KRISTY K R IH1 - S T IY0 +KRITZ K R IH1 T S +KRITZER K R IH1 T - Z ER0 +KRIVANEK K R IH1 - V AH0 - N IH0 K +KRIZ K R IH1 Z +KRIZAN K R IH1 - Z AH0 N +KRIZEK K R IH1 - Z EH0 K +KROB K R AA1 B +KROBOTH K R AA1 - B AH0 TH +KROC K R AA1 K +KROC'S K R AA1 K S +KROCK K R AA1 K +KROEBER K R OW1 - B ER0 +KROEBER'S K R OW1 - B ER0 Z +KROEGER K R OW1 - G ER0 +KROEGER'S K R OW1 - G ER0 Z +KROEGERS K R OW1 - G ER0 Z +KROEKER K R OW1 - K ER0 +KROENER K R OW1 - N ER0 +KROENING K R AA1 - AH0 - N IH0 NG +KROENKE K R OW1 NG K +KROES K R OW1 Z +KROESE K R OW1 S +KROEZE K R OW1 Z +KROFT K R AA1 F T +KROG K R AA1 G +KROGER K R OW1 - G ER0 +KROGER'S K R OW1 - G ER0 Z +KROGH K R OW1 +KROGMAN K R AA1 G - M AH0 N +KROGSTAD K R AA1 G - S T AH0 D +KROH K R OW1 +KROHN K R OW1 N +KROK K R AA1 K +KROL K R AO1 L +KROLAK K R OW1 - L AH0 K +KROLCZYK K R OW1 L - CH IH0 K +KROLICK K R AA1 - L IH0 K +KROLIKOWSKI K R AH0 - L IH0 - K AO1 F S - K IY0 +KROLL K R AO1 L +KROM K R AA1 M +KROME K R OW1 M +KROMER K R OW1 - M ER0 +KROMM K R AA1 M +KRON K R AA1 N +KRONA K R OW1 - N AH0 +KRONBERG K R AA1 N - B ER0 G +KRONE K R OW1 - N AH0 +KRONEN K R OW1 - N AH0 N +KRONENBERG K R AA1 - N AH0 N - B ER0 G +KRONENBERGER K R AA1 - N AH0 N - B ER0 - G ER0 +KRONER K R OW1 - N ER0 +KRONICK K R AA1 - N IH0 K +KRONISH K R AA1 - N IH0 SH +KRONK K R AA1 NG K +KRONOR K R OW1 - N ER0 +KRONOS K R OW1 - N OW0 S +KRONTZ K R AA1 N T S +KROON K R UW1 N +KROPF K R AA1 P F +KROPP K R AA1 P +KROSS K R AO1 S +KROSSEL K R AO1 - S AH0 L +KROTKOV K R AO1 T - K AO0 V +KROTZ K R AA1 T S +KROTZER K R OW1 T - Z ER0 +KROUNER K R UW1 - N ER0 +KROUPA K R UW1 - P AH0 +KROUSE K R AW1 S +KROUT K R AW1 T +KROWE K R OW1 +KROWITZ K R AW1 - IH0 T S +KROY K R OY1 +KRUCHTEN K R AH1 K - T AH0 N +KRUCK K R AH1 K +KRUCKEBERG K R AH1 K - B ER0 G +KRUCKENBERG K R AH1 - K AH0 N - B ER0 G +KRUCZEK K R AH1 - CH EH0 K +KRUDMAN K R AH1 D - M AH0 N +KRUDMAN'S K R AH1 D - M AH0 N Z +KRUEGER K R UW1 - G ER0 +KRUER K R UW1 - ER0 +KRUG K R AH1 G +KRUGER K R UW1 - G ER0 +KRUGERRAND K R UW0 - G EH1 - R AE0 N D +KRUGH K R AH1 +KRUGMAN K R AH1 G - M AH0 N +KRUK K R AH1 K +KRUKOWSKI K R AH0 - K AO1 F S - K IY0 +KRUL K R AH1 L +KRULL K R AH1 L +KRULWICH K R AH1 L - W IH0 CH +KRUM K R AH1 M +KRUMHOLZ K R AH1 M - HH OW2 L Z +KRUMM K R AH1 M +KRUMME K R AH1 M +KRUMMEL K R AH1 - M AH0 L +KRUMREY K R AH1 - M R IY0 +KRUMWIEDE K R AH1 M - W IY2 D +KRUPA K R UW1 - P AH0 +KRUPICKA K R UW2 - P IH1 - K AH0 +KRUPINSKI K R AH0 - P IH1 N - S K IY0 +KRUPKA K R AH1 P - K AH0 +KRUPMAN K R AH1 P - M AH0 N +KRUPNICK K R AH1 P - N IH0 K +KRUPP K R AH1 P +KRUPP'S K R AH1 P S +KRUPPA K R AH1 - P AH0 +KRUPSKI K R AH1 P S - K IY0 +KRUS K R AH1 S +KRUSCHEV K R UW1 S - CH EH2 V +KRUSCHKE K R AH1 SH K +KRUSE K R UW1 Z +KRUSEMARK K R AH1 - S IH0 - M AA0 R K +KRUSINSKI K R AH0 - S IH1 N - S K IY0 +KRUSZEWSKI K R AH0 - SH EH1 F S - K IY0 +KRUSZKA K R AH1 SH - K AH0 +KRUSZYNSKI K R AH0 - SH IH1 N - S K IY0 +KRUTICK K R UW1 - T IH2 K +KRUTSINGER K R AH1 T - S IH0 N - JH ER0 +KRUTTSCHNITT K R AH1 CH - N IH0 T +KRUTZ K R AH1 T S +KRUZEL K R UW1 - Z AH0 L +KRYCH K R IH1 CH +KRYDER K R AY1 - D ER0 +KRYGER K R AY1 - G ER0 +KRYGIER K R AY1 - G IY0 - ER0 +KRYPTON K R IH1 P - T AA0 N +KRYPTOS K R IH1 P - T OW0 S +KRYSIAK K R IH1 - S IY0 - AE0 K +KRZEMINSKI K R IH0 - M IH1 N - S K IY0 +KRZYSZTOF K R AY1 S T - AO0 F +KRZYWICKI K R IH0 - V IH1 T S - K IY0 +KRZYZANOWSKI K R IH0 - Z AH0 N - AO1 F S - K IY0 +KSIAZEK K AH0 - S IY0 - AA1 - Z EH0 K +KU K UW1 +KUALA K W AA1 - L AH0 +KUAN K W AA1 N +KUBA K Y UW1 - B AH0 +KUBACKI K AH0 - B AA1 T S - K IY0 +KUBALA K AH0 - B AA1 - L AH0 +KUBAN K Y UW1 - B AH0 N +KUBAS K UW1 - B AH0 Z +KUBAT K UW1 - B AH0 T +KUBE K Y UW1 B +KUBENA K AH0 - B IY1 - N AH0 +KUBERSKI K AH0 - B ER1 S - K IY0 +KUBES K Y UW1 B Z +KUBIAK K UW1 - B IY0 - AE0 K +KUBIC K Y UW1 - B IH0 K +KUBICA K Y UW1 - B IH0 - K AH0 +KUBICEK K AH1 - B IH0 - CH EH0 K +KUBICK K Y UW1 - B IH0 K +KUBICKI K AH0 - B IH1 T S - K IY0 +KUBIK K Y UW1 - B IH0 K +KUBIN K Y UW1 - B IH0 N +KUBINSKI K AH0 - B IH1 N - S K IY0 +KUBIS K UW1 - B IH0 S +KUBISIAK K AH0 - B IH1 - S IY0 - AE0 K +KUBITZ K Y UW1 - B IH0 T S +KUBLER K Y UW1 - B AH0 L - ER0 +KUBLER(2) K Y UW1 - B L ER0 +KUBLY K AH1 - B L IY0 +KUBO K Y UW1 - B OW0 +KUBOTA K UW0 - B OW1 - T AH0 +KUBRICK K Y UW1 - B R IH2 K +KUBRICK'S K Y UW1 - B R IH2 K S +KUBY K Y UW1 - B IY0 +KUC K AH1 K +KUCAN K Y UW1 - K AH0 N +KUCERA K AH0 - CH IH1 - R AH0 +KUCEWICZ K Y UW1 - S IH0 - W IH0 T S +KUCH K AH1 CH +KUCHAR K AH1 - K ER0 +KUCHARSKI K AH0 - CH AA1 R S - K IY0 +KUCHENBECKER K AH1 - K IH0 N - B EH0 - K ER0 +KUCHER K AH1 - K ER0 +KUCHERA K AH1 - CH ER0 - AH0 +KUCHERA(2) K UW2 - CH EH1 - R AH0 +KUCHINSKI K AH0 - CH IH1 N - S K IY0 +KUCHINSKY K AH0 - CH IH1 N - S K IY0 +KUCHLER K AH1 - K AH0 - L ER0 +KUCHLER(2) K AH1 K - L ER0 +KUCHMA K UW1 CH - M AH0 +KUCHMA'S K UW1 CH - M AH0 Z +KUCHTA K AH1 CH - T AH0 +KUCINSKI K AH0 - CH IH1 N - S K IY0 +KUCK K AH1 K +KUCZEK K AH1 - CH EH0 K +KUCZYNSKI K AH0 - CH IH1 N - S K IY0 +KUDER K Y UW1 - D ER0 +KUDLA K AH1 D - L AH0 +KUDLOW K AH1 D - L OW0 +KUDNER K AH1 D - N ER0 +KUDOS K UW1 - D OW0 S +KUDRNA K AH2 - D ER1 - N AH0 +KUDZU K AH1 D - Z UW0 +KUEBLER K UH1 - B AH0 L - ER0 +KUEBLER(2) K UH1 - B L ER0 +KUECHLER K UH1 - K AH0 - L ER0 +KUECHLER(2) K UH1 K - L ER0 +KUECK K UW1 K +KUECKER K UH1 - K ER0 +KUEHL K UH1 L +KUEHLER K UH1 - L ER0 +KUEHN K UW1 N +KUEHNE K UW1 N +KUEHNEL K UH1 - N AH0 L +KUEHNER K UH1 - N ER0 +KUEHNLE K UH1 - N AH0 L +KUEKER K UH1 - K ER0 +KUENHEIM K Y UW1 - AH0 N - HH AY2 M +KUENNEN K UH1 - N AH0 N +KUENSTLER K UH1 N - S AH0 - L ER0 +KUENSTLER(2) K UH1 N - S L ER0 +KUENZEL K UH1 N - Z AH0 L +KUENZI K UW0 - EY1 N - Z IY0 +KUENZLI K UH1 N Z - L IY0 +KUESTER K UH1 - S T ER0 +KUETHER K UH1 - DH ER0 +KUFAHL K AH1 - F AA0 L +KUFFEL K AH1 - F AH0 L +KUFFNER K AH1 F - N ER0 +KUGEL K UW1 - G AH0 L +KUGELMAN K AH1 - G AH0 L - M AH0 N +KUGLER K UW1 - G AH0 - L ER0 +KUGLER(2) K UW1 G - L ER0 +KUHAR K UW1 - ER0 +KUHL K AH1 L +KUHLE K UW1 - AH0 L +KUHLENSCHMIDT K Y UW1 - L AH0 N SH - M IH2 T +KUHLMAN K UW1 L - M AH0 N +KUHLMANN K UW1 L - M AH0 N +KUHN K UW1 N +KUHNE K AH1 N +KUHNER K UW1 - N ER0 +KUHNERT K UW1 - N ER0 T +KUHNKE K AH1 NG K +KUHNLE K AH1 - N AH0 L +KUHNS K UW1 N Z +KUHR K ER1 +KUHRT K ER1 T +KUIKEN K UW1 - K AH0 N +KUIPER K UW1 - P ER0 +KUIPERS K UW1 - P ER0 Z +KUJALA K AY0 - AA1 - L AH0 +KUJAWA K UW0 - JH AA1 - W AH0 +KUJAWSKI K AH0 - Y AA1 F S - K IY0 +KUK K AH1 K +KUKER K Y UW1 - K ER0 +KUKJE K UW1 - K Y IH0 +KUKJE(2) K UW1 K - JH EY2 +KUKJE(3) K UW1 K - JH IY2 +KUKLA K AH1 - K L AH0 +KUKLINSKI K AH0 K - L IH1 N - S K IY0 +KUKOWSKI K AH0 - K AO1 F S - K IY0 +KUKUK K UW1 - K AH0 K +KULA K UW1 - L AH0 +KULAGA K UW0 - L AA1 - G AH0 +KULAKOWSKI K Y UW0 - L AH0 - K AO1 F S - K IY0 +KULAS K Y UW1 - L AH0 Z +KULESA K Y UW0 - L IY1 - S AH0 +KULESZA K Y UW0 - L EH1 - SH AH0 +KULHANEK K AH1 L - HH AH0 - N EH0 K +KULICH K Y UW1 - L IH0 K +KULICK K Y UW1 - L IH0 K +KULIG K Y UW1 - L IH0 G +KULIGOWSKI K Y UW0 - L IH0 - G AO1 F S - K IY0 +KULIK K Y UW1 - L IH0 K +KULIKOWSKI K Y UW0 - L IH0 - K AO1 F S - K IY0 +KULINSKI K Y UW0 - L IH1 N - S K IY0 +KULIS K UW1 - L IH0 S +KULISH K Y UW1 - L IH0 SH +KULKA K AH1 L - K AH0 +KULKARNI K AH0 L - K AA1 R - N IY0 +KULL K AH1 L +KULLA K AH1 - L AH0 +KULLBERG K AH1 L - B ER0 G +KULLMAN K AH1 L - M AH0 N +KULLY K AH1 - L IY0 +KULON K UW1 - L AO2 N +KULOW K Y UW1 - L OW0 +KULP K AH1 L P +KULPA K AH1 L - P AH0 +KULWICKI K AH0 L - V IH1 T S - K IY0 +KULZER K AH1 L - Z ER0 +KUMAGAI K UW0 - M AA0 - G AA1 - IY0 +KUMAR K UW0 - M AA1 R +KUMBLE K AH1 M - B AH0 L +KUME K Y UW1 M +KUMHO K AH1 M - HH OW0 +KUMLER K AH1 M - L ER0 +KUMM K AH1 M +KUMMER K AH1 - M ER0 +KUMOURI K UW2 - M AO1 - R IY0 +KUMOURI'S K UW2 - M AO1 - R IY0 Z +KUMP K AH1 M P +KUMPF K AH1 M P F +KUMQUAT K AH1 M - K W AA0 T +KUN K AH1 N +KUNA K Y UW1 - N AH0 +KUNAEV K Y UW0 - N EY1 V +KUNATH K AH1 - N AH0 TH +KUNAYEV K Y UW0 - N EY1 - AH0 V +KUNCE K AH1 N S +KUNDA K AH1 N - D AH0 +KUNDE K AH1 N D +KUNDERA K AH0 N - D EH1 - R AH0 +KUNDERT K AH1 N - D ER0 T +KUNDINGER K AH1 N - D IH0 - NG ER0 +KUNDRAT K AH1 N - D R AH0 T +KUNERT K Y UW1 - N ER0 T +KUNES K Y UW1 N Z +KUNESH K AH1 - N IH0 SH +KUNEY K Y UW1 - N IY0 +KUNG K AH1 NG +KUNIN K Y UW1 - N IH0 N +KUNIO K Y UW1 - N IY0 - OW0 +KUNKA K AH1 NG - K AH0 +KUNKEL K AH1 NG - K AH0 L +KUNKLE K AH1 NG - K AH0 L +KUNKLER K AH1 NG - K L ER0 +KUNS K AH1 N Z +KUNSELMAN K AH1 N - S AH0 L - M AH0 N +KUNSMAN K AH1 N - S M AH0 N +KUNST K AH1 N S T +KUNSTLER K AH1 N - S T L ER0 +KUNSTLER(2) K AH1 N - S L ER0 +KUNTZ K AH1 N T S +KUNTZE K AH1 N T Z +KUNTZMAN K AH1 N T - S M AH0 N +KUNZ K AH1 N Z +KUNZE K AH1 N Z +KUNZELMAN K AH1 N - Z AH0 L - M AH0 N +KUNZLER K AH1 N - Z L ER0 +KUNZMAN K AH1 N Z - M AH0 N +KUO K UW1 - OW0 +KUOMINTANG K W OW1 - M IH2 N - T AE1 NG +KUOMINTANG'S K W OW1 - M IH2 N - T AE1 NG Z +KUOMINTANG'S(2) G W OW1 - M IH2 N - T AE1 NG Z +KUOMINTANG(2) G W OW1 - M IH2 N - T AE1 NG +KUOW K Y UW1 - OW0 +KUPEK K UW1 - P IH0 K +KUPER K Y UW1 - P ER0 +KUPERMAN K UW1 - P ER0 - M AH0 N +KUPFER K AH1 P - F ER0 +KUPFERMAN K AH1 P - F ER0 - M AH0 N +KUPIEC K AH1 - P IY0 K +KUPKA K AH1 P - K AH0 +KUPOR K Y UW1 - P ER0 +KUPPER K AH1 - P ER0 +KUPRES K UW1 - P R AH0 S +KURALT K Y ER0 - AO1 L T +KURAMOTO K UH0 - R AA0 - M OW1 - T OW0 +KURANARI K UH2 - R AH0 - N AA1 - R IY0 +KURAS K UH1 - R AH0 Z +KURD K ER1 D +KURDISH K ER1 - D IH0 SH +KURDISTAN K ER1 - D IH0 - S T AE2 N +KURDS K ER1 D Z +KURDZIEL K ER1 D - Z IY0 L +KUREK K Y UW1 - R EH0 K +KURIAN K Y UH1 - R IY0 - AH0 N +KURIANSKY K UH2 - R IY0 - AE1 N S - K IY0 +KURIHARA K UW2 - R IH0 - HH AA1 - R AH0 +KURIL K ER0 - AH0 L +KURILLA K ER0 - IH1 - L AH0 +KURINSKY K Y ER2 - IH1 N - S K IY0 +KURIYAMA K UW0 - R IH0 - Y AA1 - M AH0 +KURK K ER1 K +KURKA K ER1 - K AH0 +KURKJIAN K ER1 K - JH IY0 - AH0 N +KURKOWSKI K ER0 - K AO1 F S - K IY0 +KURLAK K ER1 - L AE0 K +KURLAND K ER1 - L AH0 N D +KURLANDER K ER1 - L AH0 N - D ER0 +KURMAN K ER1 - M AH0 N +KURMEL K ER1 - M AH0 L +KURNIT K ER1 - N IH0 T +KURODA K ER0 - OW1 - D AH0 +KUROKAWA K UW2 - R OW0 - K AA1 - W AH0 +KUROSAWA K UH2 - R OW0 - S AA1 - W AH0 +KUROWSKI K ER0 - AO1 F S - K IY0 +KURSHIKOV K ER1 SH - N IH0 - K AO0 V +KURSHIKOV(2) K ER1 SH - N IH0 K - AO0 F +KURT K ER1 T +KURTENBACH K ER1 - T IH0 N - B AA0 K +KURTH K ER1 TH +KURTIS K ER1 - T IH0 S +KURTZ K ER1 T S +KURTZMAN K ER1 T S - M AH0 N +KURUMAN K Y UH1 - R UW0 - M AH0 N +KURUMIZOWA K UH2 - R UW0 - M IY0 - Z OW1 - AH0 +KURUMIZOWA'S K UH2 - R UW0 - M IY0 - Z OW1 - AH0 Z +KURY K Y UW1 - R IY0 +KURYLO K ER0 - IH1 - L OW0 +KURZ K ER1 Z +KURZAWA K UH0 R - Z AA1 - W AH0 +KURZBAN K ER1 Z - B AE2 N +KURZWEIL K ER0 Z - W AY1 L +KUS K AH1 S +KUSA K UW1 - Z AH0 +KUSA(2) K UW1 - S AH0 +KUSCH K AH1 SH +KUSCHEL K AH1 - SH AH0 L +KUSE K Y UW1 Z +KUSEK K UW1 - S EH0 K +KUSEL K UW1 - S AH0 L +KUSH K UH1 SH +KUSHNER K AH1 SH - N ER0 +KUSHNIR K AH1 SH - N ER0 +KUSIAK K AH1 - S IY0 - AE0 K +KUSKE K AH1 S K +KUSLER K AH1 - S AH0 - L ER0 +KUSLER(2) K AH1 S - L ER0 +KUSS K AH1 S +KUSSEROW K AH1 - S ER0 - OW0 +KUSSMAN K AH1 S - M AH0 N +KUSTER K AH1 - S T ER0 +KUSTRA K AH1 S - T R AH0 +KUT K AH1 T +KUTCH K AH1 CH +KUTCHER K AH1 - CH ER0 +KUTCHNA K AH1 CH - N AH0 +KUTER K Y UW1 - T ER0 +KUTNER K AH1 T - N ER0 +KUTSCH K AH1 CH +KUTSCHER K AH1 - CH ER0 +KUTTAB K UW1 - T AE2 B +KUTTER K AH1 - T ER0 +KUTTNER K AH1 T - N ER0 +KUTUZOVSKY K UW2 - T AH0 - Z AA1 V S - K IY0 +KUTZ K AH1 T S +KUTZER K AH1 T - Z ER0 +KUVIN K UW1 - V IH0 N +KUWAHARA K UW2 - W AA0 - HH AA1 - R AH0 +KUWAIT K UW0 - W EY1 T +KUWAIT'S K UW0 - W EY1 T S +KUWAITI K UW0 - W EY1 - T IY0 +KUWAITIS K UW0 - W EY1 - T IY0 Z +KUWAM K Y UW1 - W AA0 M +KUYKENDALL K AY1 - K EH0 N - D AA2 L +KUYPER K AY1 - P ER0 +KUZARA K Y UW0 - Z AA1 - R AH0 +KUZE K Y UW1 Z +KUZEL K UW1 - Z AH0 L +KUZMA K AH1 Z - M AH0 +KUZMINSKI K AH0 Z - M IH1 N - S K IY0 +KUZNETS K AH1 Z - N EH2 T S +KUZNIA K AH1 Z - N IY0 - AH0 +KUZNIAR K AH1 Z - N Y ER0 +KUZNICKI K AH0 Z - N IH1 T S - K IY0 +KVALE K AH0 - V EY1 L +KVAM K AH0 - V AE1 M +KVAMME K AH0 - V AE1 M +KVAMME(2) K AH0 - V AA1 - M EY0 +KVAMME(3) K V AA1 - M EY0 +KVASNICKA K AH0 - V AH0 S - N IH1 - S K AH0 +KVETCH K AH0 - V EH1 CH +KVETCH(2) K V EH1 CH +KVETON K AH0 - V EH1 - T AH0 N +KVISTAD K AH0 - V IH1 - S T AE2 D +KVITSINSKY K AH0 - V IH0 T - S IH1 N - S K IY0 +KVITSINSKY(2) K V IH0 T - S IH1 N - S K IY0 +KWAI K W AY1 +KWAK K W AE1 K +KWAN K W AA1 N +KWANG K W AA1 NG +KWANGJU K W AA0 NG - JH UW1 +KWANGJU(2) G W AA0 NG - JH UW1 +KWANZA K W AA1 N - Z AH0 +KWANZAA K W AA1 N - Z AH0 +KWASNIEWSKI K W AH0 Z - N EH1 F S - K IY0 +KWASNIEWSKI(2) K W AH0 Z - N UW1 S - K IY0 +KWASNIK K W AA1 Z - N IH0 K +KWASNY K W AA1 Z - N IY0 +KWAZULU K W AA0 - Z UW1 - L UW0 +KWEISI K W AY1 - Z IY0 +KWH K EY1 - D AH1 - B AH0 L - Y UW0 - EY1 CH +KWIATEK K W IY0 - AA1 - T EH0 K +KWIATKOWSKI K W IY0 - AH0 T - K AO1 F S - K IY0 +KWIECIEN K W IY1 - S IY0 N +KWIECINSKI K W IY0 - CH IH1 N - S K IY0 +KWIK K W IH1 K +KWITNY K W IH1 T - N IY0 +KWOK K W AA1 K +KWOK-SHING K W AO1 K - SH IH1 NG +KWOLEK K W OW1 - L EH0 K +KWON K W AA1 N +KWONG K W AO1 NG +KYD K IH1 D +KYD'S K IH1 D Z +KYER K AY1 - ER0 +KYES K AY1 Z +KYGER K AY1 - G ER0 +KYI K IY1 +KYI(2) K EY1 - W AY1 - AY1 +KYKER K AY1 - K ER0 +KYL K AY1 L +KYLE K AY1 L +KYLE'S K AY1 L Z +KYLER K AY1 - L ER0 +KYLES K AY1 L Z +KYLLO K IH1 - L OW0 +KYLLONEN K IH0 - L AA1 - N AH0 N +KYM K IH1 M +KYNA K IH1 - N AH0 +KYNARD K IH1 - N ER0 D +KYNE K AY1 N +KYNIKOS K IH0 - N IY1 - K OW0 S +KYO K Y OW1 +KYO(2) K IY1 - OW0 +KYOCERA K Y OW0 - S EH1 - R AH0 +KYOCERA(2) K IY0 - OW0 - S EH1 - R AH0 +KYODO K Y OW1 - D OW0 +KYOKUTO K Y AA0 - K UW1 - T OW0 +KYONG K Y AO1 NG +KYONGSANG K Y AO1 NG - S AE0 NG +KYOSHI K IY0 - OW1 - SH IY0 +KYOTO K Y OW1 - T OW0 +KYOUNG K Y AO1 NG +KYOUNG-MIN K Y AO1 NG - M IH1 N +KYOWA K Y OW1 - AH0 +KYRA K AY1 - R AH0 +KYRGYZSTAN K IH1 R - G IH0 - S T AE2 N +KYRGYZSTAN(2) K IH2 R - G IY1 - S T AA2 N +KYRON K AY1 - R AH0 N +KYSAR K IH1 - S ER0 +KYSER K AY1 - S ER0 +KYSOR K AY1 - S ER0 +KYTE K AY1 T +KYTRIL K IH1 - T R IH0 L +KYU K Y UW1 +KYUNG K Y AH1 NG +KYUSHU K Y AH1 - SH UW0 +KYZAR K IH1 - Z ER0 +KYZER K AY1 - Z ER0 +L EH1 L +L'AMOUR L AE1 - M AO0 R +L'EGGS L EH1 G Z +L'ENFANT L EH1 N - F AA2 N T +L'ENFANT(2) L AA2 N - F AA1 N T +L'ESPALIER L EH0 - S P AE2 - L IY0 - EY1 +L'EXPANSION L EH2 K - S P AE1 N - SH AH0 N +L'EXPRESS L EH2 K - S P R EH1 S +L'HEUREUX L HH Y UW2 - R UH1 +L'OREAL L AO0 - R IY0 - AE1 L +L'S EH1 L Z +L. EH1 L +L.'S EH1 L Z +L.S EH1 L Z +LA L AA1 +LA-CARRE L AA1 - K AA2 - R EY1 +LA-PAZ L AH1 - P AO0 Z +LAABS L AA1 B Z +LAACK L AA1 K +LAACO L AA1 - K OW0 +LAAKE L AA1 K +LAAKSO L AA1 K - S OW0 +LAAS L AA1 Z +LAATSCH L AA1 CH +LAB L AE1 B +LAB'S L AE1 B Z +LABA L AA1 - B AH0 +LABADIE L AE1 - B AH0 - D IY0 +LABAN L EY1 - B AH0 N +LABAND L AA0 - B AE1 N D +LABANT L AH0 - B AE1 N T +LABAR L AH0 - B AA1 R +LABARBERA L AA0 - B AA0 R - B EH1 - R AH0 +LABARGE L AE1 - B AA0 R G +LABARR L AH0 - B AE1 R +LABARRE L AA0 - B AA1 - R EY0 +LABAT L AA1 - B AA0 T +LABATE L AA1 - B EY0 T +LABATON L AE1 - B AH0 - T AH0 N +LABATT L AH0 - B AE1 T +LABATT'S L AH0 - B AE1 T S +LABATT'S(2) L AH0 - B AA1 T S +LABATT(2) L AH0 - B AA1 T +LABAUVE L AH0 - B OW1 V +LABAY L AE1 - B EY0 +LABBE L AE1 B +LABE L EY1 B +LABEAU L AH0 - B OW1 +LABEL L EY1 - B AH0 L +LABEL'S L EY1 - B AH0 L Z +LABELED L EY1 - B AH0 L D +LABELING L EY1 - B AH0 L - IH0 NG +LABELING(2) L EY1 - B L IH0 NG +LABELL L AH0 - B EH1 L +LABELLA L AH0 - B EH1 - L AH0 +LABELLE L AH0 - B EH1 L +LABELLED L EY1 - B AH0 L D +LABELS L EY1 - B AH0 L Z +LABENSKI L AA0 - B EH1 N - S K IY0 +LABER L EY1 - B ER0 +LABERGE L AA1 - B ER0 G +LABIANCA L AA0 - B IY0 - AA1 NG - K AH0 +LABIANCA'S L AA0 - B IY0 - AA1 NG - K AH0 Z +LABINE L AA0 - B IY1 - N IY0 +LABLANC L AH0 - B L AE1 NG K +LABO L AA1 - B OW0 +LABODA L AA0 - B OW1 - D AH0 +LABOMBARD L AE1 - B AH0 M - B ER0 D +LABONTE L AH0 - B AA1 N T +LABONTE(2) L AH0 - B AA1 N - T IY0 +LABOR L EY1 - B ER0 +LABOR'S L EY1 - B ER0 Z +LABORATOIRES L AH0 - B AO1 - R AH0 - T W AA2 Z +LABORATORIES L AE1 - B R AH0 - T AO2 - R IY0 Z +LABORATORIES' L AE1 - B R AH0 - T AO2 - R IY0 Z +LABORATORY L AE1 - B R AH0 - T AO2 - R IY0 +LABORATORY'S L AE1 - B R AH0 - T AO2 - R IY0 Z +LABORDE L AH0 - B AO1 R D +LABORE L AH0 - B AO1 R +LABORED L EY1 - B ER0 D +LABORER L EY1 - B ER0 - ER0 +LABORERS L EY1 - B ER0 - ER0 Z +LABORING L EY1 - B ER0 - IH0 NG +LABORIOUS L AH0 - B AO1 - R IY0 - AH0 S +LABORIOUSLY L AH0 - B AO1 - R IY0 - AH0 S - L IY0 +LABORS L EY1 - B ER0 Z +LABOSSIERE L AE1 - B AH0 - S IY0 - EH0 R +LABOUISSE L AA0 - B UW1 S +LABOUNTY L AH0 - B AW1 N - T IY0 +LABOUR L EY1 - B AW2 R +LABOUR(2) L EY1 - B ER0 +LABOVE L AH0 - B AH1 V +LABOW L AE1 - B OW0 +LABOY L AH0 - B OY1 +LABRADOR L AE1 - B R AH0 - D AO2 R +LABRAKE L AE1 - B R AH0 K +LABRANCHE L AA0 - B R AA1 N - K IY0 +LABRECK L AE1 - B R IH0 K +LABRECQUE L AH0 - B R EH1 K +LABREE L AH0 - B R IY1 +LABRIE L AE1 - B ER0 - IY0 +LABRIOCHE L AA2 - B R IY0 - OW1 SH +LABRIOLA L AA0 - B R IY0 - OW1 - L AH0 +LABROSSE L AA0 - B R OW1 - S IY0 +LABS L AE1 B Z +LABS' L AE1 B Z +LABUDA L AH0 - B Y UW1 - D AH0 +LABUS L AE1 - B IH0 S +LABYRINTH L AE1 - B ER0 - IH2 N TH +LABYRINTHINE L AE2 - B ER0 - IH1 N - TH IY2 N +LAC L AE1 K +LAC'S L AE1 K S +LACANA L AA0 - K AE1 - N AH0 +LACASSE L AA0 - K AA1 - S IY0 +LACAVA L AA0 - K AA1 - V AH0 +LACAYO L AA0 - K EY1 - OW0 +LACAZE L AA0 - K AA1 - Z IY0 +LACCOLITHS L AE1 - K AH0 - L IH0 TH S +LACE L EY1 S +LACED L EY1 S T +LACEFIELD L EY1 S - F IY2 L D +LACER L EY1 - S ER0 +LACERATE L AE1 - S ER0 - EY2 T +LACERATION L AE2 - S ER0 - EY1 - SH AH0 N +LACERATIONS L AE2 - S ER0 - EY1 - SH AH0 N Z +LACERTE L AA0 - CH EH1 R - T IY0 +LACES L EY1 - S AH0 Z +LACES(2) L EY1 - S IH0 Z +LACEWELL L EY1 S - W EH2 L +LACEY L EY1 - S IY0 +LACH L AE1 CH +LACHANCE L AA1 - CH AH0 N S +LACHAPELLE L AE1 - SH AH0 - P AH0 L +LACHARITE L AE1 - CH ER0 - AY2 T +LACHE L AE1 CH +LACHENBRUCH L AE1 - K AH0 N - B R UW2 K +LACHER L AE1 - K ER0 +LACHICA L AE1 - CH IH0 - K AH0 +LACHLAN L AE1 K - L AH0 N +LACHMAN L AE1 K - M AH0 N +LACHMAR L AE1 K - M AA0 R +LACHNEY L AE1 K - N IY0 +LACHOWICZ L AA1 - HH AH0 - V IH0 CH +LACINA L AA0 - CH IY1 - N AH0 +LACIVITA L AA0 - CH IY0 - V IY1 - T AH0 +LACK L AE1 K +LACKADAISICAL L AE2 - K AH0 - D EY1 - Z IH0 - K AH0 L +LACKAWANNA L AE2 - K AH0 W - AA1 - N AH0 +LACKED L AE1 K T +LACKEY L AE1 - K IY0 +LACKEYS L AE1 - K IY0 Z +LACKIE L AE1 - K IY0 +LACKING L AE1 - K IH0 NG +LACKLUSTER L AE1 K - L AH2 - S T ER0 +LACKMAN L AE1 K - M AH0 N +LACKNER L AE1 K - N ER0 +LACKO L AE1 - K OW0 +LACKOVIC L AE1 - K AH0 - V IH0 K +LACKS L AE1 K S +LACLAIR L AE1 K - L ER0 +LACLEDE L AA0 K - L IY1 D +LACOCK L AE1 - K AH0 K +LACOMB L AE1 - K AH0 M +LACOMBE L AA0 - K OW1 M - B IY0 +LACONIC L AA0 - K AA1 - N IH0 K +LACONTE L AA0 - K OW1 N - T IY0 +LACORTE L AA0 - K AO1 R - T IY0 +LACOSS L AH0 - K AA1 S +LACOSSE L AA0 - K OW1 - S IY0 +LACOSTE L AA0 - K AO1 S T +LACOUNT L AH0 - K UW1 N T +LACOUR L AH0 - K UH1 R +LACOURSE L AH0 - K UH1 R S +LACOURSIERE L AE1 - K UH0 R - S IY0 - EH0 R +LACOUTURE L AE1 - K UW0 - CH ER0 +LACOVARA L AA0 K - OW0 - V AA1 - R AH0 +LACQUER L AE1 - K ER0 +LACQUERED L AE1 - K ER0 D +LACROIX L AH0 K - R OY1 +LACROSS L AH0 - K R AO1 S +LACROSSE L AH0 - K R AO1 S +LACTASE L AE1 K - T EY2 S +LACTATE L AE1 K - T EY0 T +LACTATING L AE1 K - T EY0 - T IH0 NG +LACTATION L AE0 K - T EY1 - SH AH0 N +LACTEALS L AE1 K - T IY2 L Z +LACTER L AE1 K - T ER0 +LACTIC L AE1 K - T IH0 K +LACTOBACILLUS L AE2 K - T OW0 - B AH0 - S IH1 - L AH0 S +LACTONE L AE1 K - T OW0 N +LACTOSE L AE1 K - T OW0 S +LACY L EY1 - S IY0 +LAD L AE1 D +LADA L AA1 - D AH0 +LADAKH L AA1 - D AH0 K +LADAS L AA1 - D AH0 Z +LADBROKE L AE1 D - B R OW2 K +LADBROKE'S L AE1 D - B R OW2 K S +LADD L AE1 D +LADD'S L AE1 D Z +LADDER L AE1 - D ER0 +LADDERS L AE1 - D ER0 Z +LADE L EY1 D +LADEHOFF L AE1 - D AH0 - HH AO0 F +LADEN L EY1 - D AH0 N +LADENBURG L EY1 - D AH0 N - B ER0 G +LADER L EY1 - D ER0 +LADEWIG L AE1 - D UW0 - IH0 G +LADIES L EY1 - D IY0 Z +LADIES' L EY1 - D IY2 Z +LADING L EY1 - D IH0 NG +LADINO L AH0 - D IY1 - N OW0 +LADISH L AA0 - D IH1 SH +LADLE L EY1 - D AH0 L +LADLED L EY1 - D AH0 L D +LADLES L EY1 - D AH0 L Z +LADLEY L AE1 D - L IY0 +LADNER L AE1 D - N ER0 +LADNIER L AE1 D - N IY0 - ER0 +LADOUCEUR L AE1 - D UW0 - S ER0 +LADOW L AE1 - D OW0 +LADS L AE1 D Z +LADSON L AE1 D - S AH0 N +LADUCA L AA0 - D UW1 - K AH0 +LADUE L AA1 D - W EH0 +LADUKE L AA0 - D UW1 - K EY0 +LADWIG L AE1 D - W IH0 G +LADY L EY1 - D IY0 +LADY'S L EY1 - D IY0 Z +LADYBIRD L EY1 - D IY0 - B ER2 D +LADYBUG L EY1 - D IY0 - B AH2 G +LADYBUGS L EY1 - D IY0 - B AH2 G Z +LADYLIKE L EY1 - D IY0 - L AY2 K +LAENDERBANK L AE1 N - D ER0 - B AE2 NG K +LAEVO L EY1 - V OW0 +LAFALCE L AA0 - F AE1 L - S IY0 +LAFALCE(2) L AH0 - F AA1 L S +LAFARGE L AA0 - F AA1 R JH +LAFATA L AA0 - F AA1 - T AH0 +LAFAUCI L AA0 - F AO1 - CH IY0 +LAFAVE L AH0 - F EY1 V +LAFAVOR L AE1 - F AH0 - V ER0 +LAFAVRE L AH0 - F EY1 - V ER0 +LAFAYETTE L AA2 - F IY0 - EH1 T +LAFAYETTE(2) L AA2 - F EY0 - EH1 T +LAFER L EY1 - F ER0 +LAFERRIERE L AE1 - F ER0 - IY0 - EH0 R +LAFEVER L AE1 F - EH0 - V ER0 +LAFEVERS L AE1 F - EH0 - V ER0 Z +LAFEYETTE L AA2 - F IY0 - EH1 T +LAFF L AE1 F +LAFFER L AE1 - F ER0 +LAFFERTY L AE1 - F ER0 - T IY0 +LAFFEY L AE1 - F IY0 +LAFFIN L AE1 - F IH0 N +LAFFITTE L AH0 - F IH1 T +LAFFOON L AH0 - F UW1 N +LAFITE L AA0 - F AY1 T +LAFITTE L AH0 - F IH1 T +LAFLAM L AH0 - F L AE1 M +LAFLAMME L AE1 F - L IH0 M +LAFLECHE L AH0 - F L EH1 SH +LAFLER L EY1 - F AH0 L - ER0 +LAFLER(2) L EY1 F - L ER0 +LAFLEUR L AH0 F - L ER1 +LAFLIN L AE1 F - L IH0 N +LAFOE L AH0 - F OW1 +LAFOLLETTE L AE1 - F AH0 - L EH0 T +LAFON L AE1 - F AH0 N +LAFOND L AH0 - F AA1 N D +LAFONT L AH0 - F AA1 N T +LAFONTAINE L AE1 - F AH0 N - T EY2 N +LAFONTANT L AA0 - F AA1 N - T AH0 N T +LAFORCE L AH0 - F AO1 R S +LAFOREST L AH0 - F AO1 - R AH0 S T +LAFORGE L AH0 - F AO1 R G +LAFORTE L AH0 - F AO1 R T +LAFORTUNE L AE1 - F ER0 - T UW0 N +LAFOSSE L AH0 - F AA1 S +LAFOUNTAIN L AA1 - F AA2 N - T EY1 N +LAFOUNTAINE L AA1 - F AA2 N - T EY1 N +LAFOY L AH0 - F OY1 +LAFRAMBOISE L AH2 - F R AE2 M - B W AA1 +LAFRANCE L AH0 - F R AE1 N S +LAFRENIERE L AE1 - F R IH0 - N IY0 - EH0 R +LAFRENZ L AE1 - F R IH0 N S +LAFUENTE L AA0 F - W EH1 N - T EY0 +LAG L AE1 G +LAGACE L AA0 - G AA1 - CH IY0 +LAGAN L AE1 - G AH0 N +LAGANA L AA0 - G AE1 - N AH0 +LAGARDE L AA0 - G AA1 R - D IY0 +LAGARDERE L AA0 - G AA0 R - D IH1 R +LAGASSE L AA0 - G AA1 - S IY0 +LAGATTUTA L AA0 - G AA0 - T UW1 - T AH0 +LAGE L EY1 JH +LAGER L AA1 - G ER0 +LAGERFELD L AA1 - G ER0 - F EH0 L D +LAGERFELD(2) L EY1 - G ER0 - F EH0 L D +LAGERGREN L EY1 - G ER0 - G R EH0 N +LAGERQUIST L EY1 - G ER0 - K W IH0 S T +LAGERSTROM L EY1 - G ER0 S - T R AH0 M +LAGESSE L AE1 - G EH0 S +LAGGARD L AE1 - G ER0 D +LAGGARDS L AE1 - G ER0 D Z +LAGGED L AE1 G D +LAGGING L AE1 - G IH0 NG +LAGLE L EY1 - G AH0 L +LAGNADO L AA2 G - N AA1 - D OW0 +LAGO L AA1 - G OW0 +LAGOMARSINO L AA0 - G OW2 - M AA0 R - S IY1 - N OW0 +LAGOON L AH0 - G UW1 N +LAGOONS L AH0 - G UW1 N Z +LAGOS L EY1 - G AO0 S +LAGOW L AE1 - G OW0 +LAGRANGE L AE1 - G R EY2 N JH +LAGRECA L AA0 - G R EH1 - K AH0 +LAGROCERIA L AA0 - G R OW2 - S ER0 - IY1 - AH2 +LAGROCERIA(2) L AH0 - G R OW2 - S ER0 - IY1 - AH2 +LAGRONE L AA0 - G R OW1 - N IY0 +LAGROW L AE1 - G R OW2 +LAGS L AE1 G Z +LAGUARDIA L AH0 G - W AA1 R - D IY0 - AH0 +LAGUE L AA1 G +LAGUNA L AH0 - G UW1 - N AH0 +LAGUNAS L AH0 - G UW1 - N AH0 Z +LAHAIE L AE1 - HH IY0 +LAHAIE(2) L AH0 - HH AY1 +LAHAM L AE1 - HH AH0 M +LAHAYE L AE1 - HH EY0 +LAHEY L EY1 - HH IY0 +LAHIFF L AE1 - HH IH0 F +LAHM L AE1 M +LAHMAN L AA1 - M AH0 N +LAHMANN L AA1 - M AH0 N +LAHN L AE1 N +LAHOOD L AA1 - HH UH0 D +LAHORE L AA0 - HH AO1 R +LAHR L AA1 R +LAHTI L AA1 - T IY0 +LAHUE L AE1 - HH Y UW0 +LAI L AY1 +LAIB L EY1 B +LAIBLE L EY1 - B AH0 L +LAIBOWITZ L EY1 - B AH0 - W IH0 T S +LAIBROOK L EY1 - B R UH2 K +LAICHE L EY1 CH +LAID L EY1 D +LAIDIG L EY1 - D IH0 G +LAIDLAW L EY1 D - L AO2 +LAIDLAW'S L EY1 D - L AO1 Z +LAIDLER L EY1 D - L ER0 +LAIDLEY L EY1 D - L IY0 +LAIL L EY1 L +LAIMBEER L EY2 M - B IH1 R +LAIN L EY1 N +LAINE L EY1 N +LAING L AA1 - IH0 NG +LAINHART L AY1 N - HH AA0 R T +LAINO L EY1 - N OW0 +LAIR L EH1 R +LAIRD L EH1 R D +LAIRMORE L EH1 R - M AO0 R +LAIRSON L EH1 R - S AH0 N +LAIS L EY1 Z +LAISSEZ L EY1 - Z EY2 +LAISSEZ(2) L EH1 - Z EY2 +LAIT L EY1 +LAITINEN L AY1 - T IH0 - N AH0 N +LAITY L EY1 - AH0 - T IY0 +LAJEUNE L AH0 - JH AH1 N +LAJEUNESSE L AH0 - JH AH1 - N EH0 S +LAJOIE L AE1 JH - W AA0 +LAJOUS L AH0 - ZH UW1 S +LAK L AE1 K +LAKATOS L AE1 - K AH0 - T OW0 Z +LAKE L EY1 K +LAKE'S L EY1 K S +LAKEBERG L EY1 K - B ER0 G +LAKEFIELD L EY1 K - F IY2 L D +LAKEFRONT L EY1 K - F R AH2 N T +LAKELAND L EY1 K - L AH0 N D +LAKEMAN L EY1 K - M AH0 N +LAKER L EY1 - K ER0 +LAKERS L EY1 - K ER0 Z +LAKES L EY1 K S +LAKES' L EY1 K S +LAKESHORE L EY1 K - SH AO2 R +LAKESIDE L EY1 K - S AY2 D +LAKEVIEW L EY1 K - V Y UW2 +LAKEWOOD L EY1 K - W UH2 D +LAKEY L EY1 - K IY0 +LAKIN L AE1 - K IH0 N +LAKINS L AE1 - K IH0 N Z +LAKOTA L AH0 - K OW1 - T AH0 +LAKOTAS L AH0 - K OW1 - T AH0 Z +LAKOTAS' L AH0 - K OW1 - T AH0 Z +LAKSHAMANAN L AE0 K - SH AH0 - M AA1 - N AH0 N +LAKSHAMANAN'S L AE0 K - SH AH0 - M AA1 - N AH0 N Z +LAL L AE1 L +LALA L AA1 - L AH0 +LALANDE L AA0 - L AA1 N - D IY0 +LALAS L AA1 - L AH0 S +LALIBERTE L AA0 - L IY0 - B EH1 R - T IY0 +LALIT L AH0 - L IY1 T +LALITA L AH0 - L IY1 - T AH0 +LALITESH L AA1 - L IH2 - T EH2 SH +LALL L AO1 L +LALLA L AE1 - L AH0 +LALLEY L AE1 - L IY0 +LALLI L AE1 - L IY0 +LALLIE L AO1 - L IY0 +LALLIER L AE1 - L IY0 - ER0 +LALLO L AE1 - L OW0 +LALLY L AE1 - L IY0 +LALONDE L AA0 - L OW1 N - D IY0 +LALONE L AA0 - L OW1 - N IY0 +LALOR L AE0 - L AO1 R +LAM L AE1 M +LAMA L AA1 - M AH0 +LAMA'S L AA1 - M AH0 Z +LAMACCHIA L AA0 - M AA1 - K IY0 - AH0 +LAMAGNA L AA0 - M AA1 G - N AH0 +LAMAGNA(2) L AH0 - M AA1 - N Y AH0 +LAMAIST L AA1 - M AY0 - IH0 S T +LAMAN L EY1 - M AH0 N +LAMANNA L AE1 - M IH0 - N AH0 +LAMANTIA L AA0 - M AA1 N - SH AH0 +LAMAR L AH0 - M AA1 R +LAMAR'S L AH0 - M AA1 R Z +LAMARCA L AA0 - M AA1 R - K AH0 +LAMARCHE L AA0 - M AA1 R - K IY0 +LAMARR L AA0 - M AA1 R +LAMARRE L AA0 - M AA1 - R IY0 +LAMARTINA L AA0 - M AA0 R - T IY1 - N AH0 +LAMAS L AA1 - M AH0 Z +LAMASTER L AA1 - M AE0 - S T ER0 +LAMASTUS L AE1 - M AH0 - S T IH0 S +LAMATTINA L AA0 - M AA0 - T IY1 - N AH0 +LAMAUR L AH0 - M AO1 R +LAMAY L AE1 - M EY0 +LAMB L AE1 M +LAMB'S L AE1 M Z +LAMBASTE L AE2 M - B AE1 S T +LAMBASTE(2) L AE2 M - B EY1 S T +LAMBASTED L AE2 M - B AE1 - S T IH0 D +LAMBASTED(2) L AE2 M - B EY1 - S T IH0 D +LAMBASTES L AE2 M - B AE1 S T S +LAMBASTES(2) L AE2 M - B EY1 S T S +LAMBASTES(3) L AE2 M - B AE1 S S +LAMBASTES(4) L AE2 M - B EY1 S S +LAMBASTES(5) L AE2 M - B AE1 S +LAMBASTES(6) L AE2 M - B EY1 S +LAMBASTING L AE0 M - B EY1 - S T IH0 NG +LAMBDA L AE1 M - D AH0 +LAMBDIN L AE1 M - D IH0 N +LAMBE L AE1 M +LAMBERG L AE1 M - B ER0 G +LAMBERSON L AE1 M - B ER0 - S AH0 N +LAMBERT L AE1 M - B ER0 T +LAMBERT'S L AE1 M - B ER0 T S +LAMBERTH L AE1 M - B ER0 TH +LAMBERTI L AA0 M - B EH1 R - T IY0 +LAMBERTO L AA0 M - B EH1 R - T OW2 +LAMBERTON L AE1 M - B ER0 - T AH0 N +LAMBERTSON L AE1 M - B ER0 T - S AH0 N +LAMBERTY L AE1 M - B ER0 - T IY0 +LAMBETH L AE1 M - B IH0 TH +LAMBIASE L AA0 M - B IY0 - AA1 - S IY0 +LAMBIE L AE1 M - B IY0 +LAMBING L AE1 - M IH0 NG +LAMBORGHINI L AE2 M - B ER0 - G IY1 - N IY0 +LAMBORGHINI'S L AE2 M - B ER0 - G IY1 - N IY0 Z +LAMBORGHINIS L AE2 M - B ER0 - G IY1 - N IY0 Z +LAMBORN L AH0 M - B AO1 R N +LAMBOY L AE1 M - B OY2 +LAMBREAU L AE0 M - B R OW1 +LAMBRECHT L AE1 M - B R IH0 K T +LAMBRIGHT L AE1 M - B R AY2 T +LAMBRO L AE1 M - B R OW0 +LAMBROS L AE1 M - B R OW0 Z +LAMBS L AE1 M Z +LAMBS' L AE1 M Z +LAMBSDORFF L AE1 M Z - D AO0 R F +LAMBSON L AE1 M - S AH0 N +LAMBY L AE1 M - B IY0 +LAME L EY1 M +LAMELLAR L AH0 - M EH1 - L ER0 +LAMELY L EY1 M - L IY0 +LAMENDOLA L AA0 - M EH0 N - D OW1 - L AH0 +LAMENT L AH0 - M EH1 N T +LAMENTABLE L AH0 - M EH1 N - T AH0 - B AH0 L +LAMENTED L AH0 - M EH1 N - T IH0 D +LAMENTING L AH0 - M EH1 N - T IH0 NG +LAMENTS L AH0 - M EH1 N T S +LAMER L EY1 - M ER0 +LAMERE L AA0 - M EH1 - R EY0 +LAMERS L EY1 - M ER0 Z +LAMETA L AH0 - M EH1 - T AH0 +LAMEY L EY1 - M IY0 +LAMIA L EY1 - M IY0 - AH0 +LAMICA L AE1 - M IH0 - K AH0 +LAMIE L EY1 - M IY0 +LAMINA L AE1 - M AH0 - N AH0 +LAMINACK L AE1 - M IH0 - N AH0 K +LAMINAR L AE1 - M IH0 - N ER0 +LAMINATE L AE1 - M AH0 - N AH0 T +LAMINATE(2) L AE1 - M AH0 - N EY2 T +LAMINATED L AE1 - M AH0 - N EY2 - T AH0 D +LAMINATES L AE1 - M AH0 - N AH0 T S +LAMINATING L AE1 - M AH0 - N EY2 - T IH0 NG +LAMINE L AH0 - M IY1 N +LAMINE'S L AH0 - M IY1 N Z +LAMINER L AE1 - M AH0 - N ER0 +LAMIRANDE L AA0 - M IH0 - R AA1 N - D IY0 +LAMISON L AE1 - M IH0 - S AH0 N +LAMKE L AE1 M - K IY0 +LAMKIN L AE1 M - K IH0 N +LAMLE L AE1 M - L IY0 +LAMM L AE1 M +LAMM'S L AE1 M Z +LAMME L AE1 M +LAMMERS L AE1 - M ER0 Z +LAMMERT L AE1 - M ER0 T +LAMMEY L AE1 - M IY0 +LAMMI L AE1 - M IY0 +LAMMON L AE1 - M AH0 N +LAMMOND L AE1 - M AH0 N D +LAMMONS L AE1 - M AH0 N Z +LAMON L AA0 - M AO1 N +LAMOND L AH0 - M AA1 N D +LAMONICA L AA0 - M OW0 - N IY1 - K AH0 +LAMONS L AA1 - M OW0 N Z +LAMONT L AH0 - M AA1 N T +LAMONTAGNE L AA2 - M AA0 N - T EY1 N +LAMONTE L AA0 - M AA1 N T +LAMORA L AA0 - M AO1 - R AH0 +LAMORE L AA1 - M AO0 R +LAMOREAUX L AE1 - M ER0 - OW0 +LAMOREUX L AE1 - M ER0 - OW0 +LAMORTE L AA0 - M AO1 R - T IY0 +LAMOS L AA1 - M OW0 S +LAMOTHE L AE1 - M AH0 DH +LAMOTT L AH0 - M AA1 T +LAMOTTA L AA0 - M OW1 - T AH0 +LAMOTTE L AH0 - M AO1 T +LAMOUNTAIN L AE1 - M UW0 N - T EY0 N +LAMOUREAUX L AE1 - M UH0 - R OW0 +LAMOUREUX L AE1 - M UH0 - R OW0 +LAMP L AE1 M P +LAMPE L AE1 M P +LAMPERT L AE1 M - P ER2 T +LAMPF L AE1 M P F +LAMPHEAR L AE1 M - F ER0 +LAMPHERE L AE1 M - F ER0 +LAMPHIER L AE1 M - F IY0 - ER0 +LAMPI L AE1 M - P IY0 +LAMPING L AE1 M - P IH0 NG +LAMPKIN L AE1 M P - K IH0 N +LAMPKINS L AE1 M P - K IH0 N Z +LAMPL L AE1 M - P AH0 L +LAMPLEY L AE1 M P - L IY0 +LAMPLIGHTER L AE1 M P - L AY2 - T ER0 +LAMPLIGHTER'S L AE1 M P - L AY2 - T ER0 Z +LAMPLIGHTERS L AE1 M P - L AY2 - T ER0 Z +LAMPMAN L AE1 M P - M AH0 N +LAMPO L AE1 M - P OW0 +LAMPOON L AE0 M - P UW1 N +LAMPOON'S L AE0 M - P UW1 N Z +LAMPOONED L AE0 M - P UW1 N D +LAMPORT L AE1 M - P AO2 R T +LAMPP L AE1 M P +LAMPPOST L AE1 M P - P OW2 S T +LAMPPOST(2) L AE1 M - P OW2 S T +LAMPPOSTS L AE1 M P - P OW2 S T S +LAMPPOSTS(2) L AE1 M - P OW2 S S +LAMPPOSTS(3) L AE1 M - P OW2 S +LAMPREY L AE1 M - P R IY0 +LAMPREYS L AE1 M - P R IY0 Z +LAMPRON L AE1 M - P R AH0 N +LAMPROS L AE1 M - P R OW0 Z +LAMPS L AE1 M P S +LAMPSON L AE1 M P - S AH0 N +LAMPTON L AE1 M P - T AH0 N +LAMSON L AE1 M - S AH0 N +LAMSTON L AE1 M - S T AH0 N +LAMY L EY1 - M IY0 +LAN L AE1 N +LANA L AE1 - N AH0 +LANAGAN L AE1 - N AH0 - G AE0 N +LANAHAN L AE1 - N AH0 - HH AE0 N +LANASA L AA0 - N AA1 - S AH0 +LANCASHIRE L AE1 NG - K AH0 - SH AY2 R +LANCASTER L AE1 N - K AE2 - S T ER0 +LANCASTER(2) L AE1 NG - K AH0 - S T ER0 +LANCASTRIAN L AE2 NG - K AE1 S - T R IY0 - AH0 N +LANCE L AE1 N S +LANCE'S L AE1 N - S IH0 Z +LANCELET L AE1 N S - L AH0 T +LANCELOT L AE1 N - S AH0 - L AA2 T +LANCEOLATE L AE1 N - S IY0 - AH0 - L EY2 T +LANCER L AE1 N - S ER0 +LANCERS L AE1 N - S ER0 Z +LANCET L AE1 N - S AH0 T +LANCET'S L AE1 N - S AH0 T S +LANCETS L AE1 N - S AH0 T S +LANCIA L AA1 N - CH AH0 +LANCING L AE1 N - S IH0 NG +LANCIT L AE1 N - S IH0 T +LANCLOS L AE1 N - K L OW0 Z +LANCOME L AE1 N - K AH0 M +LANCOME(2) L AA1 N - K OW2 M +LANCON L AE1 NG - K AH0 N +LANCOUR L AH0 N - K UH1 R +LANCTOT L AE1 NG K - T AH0 T +LANCZ L AE1 N CH +LAND L AE1 N D +LAND'S L AE1 N D Z +LANDA L AE1 N - D AH0 +LANDAU L AE1 N - D AW2 +LANDAUER L AE1 N - D AW2 - ER0 +LANDAY L AE1 N - D EY2 +LANDBANK L AE1 N D - B AE2 NG K +LANDBERG L AE1 N D - B ER0 G +LANDE L AE1 N D +LANDECK L AE1 N - D IH0 K +LANDED L AE1 N - D AH0 D +LANDED(2) L AE1 N - D IH0 D +LANDEFELD L AE1 N - D IH0 - F EH0 L D +LANDELL L AE0 N - D EH1 L +LANDEN L AE1 N - D AH0 N +LANDENBERGER L AE1 N - D AH0 N - B ER0 - G ER0 +LANDER L AE1 N - D ER0 +LANDEROS L AE1 N - D ER0 - OW0 Z +LANDERS L AE1 N - D ER0 Z +LANDES L AE1 N D Z +LANDESBANK L AE1 N - D IY0 Z - B AE2 NG K +LANDESMAN L AE1 N - D IH0 S - M AH0 N +LANDESS L AE1 N - D AH0 S +LANDFAIR L AE1 N D - F EH2 R +LANDFALL L AE1 N D - F AO2 L +LANDFILL L AE1 N D - F IH2 L +LANDFILLING L AE1 N D - F IH0 - L IH0 NG +LANDFILLS L AE1 N D - F IH2 L Z +LANDFORM L AE1 N D - F AO2 R M +LANDFORMS L AE1 N D - F AO2 R M Z +LANDFRIED L AE1 N D - F ER0 - IY0 D +LANDGRAF L AE1 N - JH R AH0 F +LANDGRAVE L AE1 N D - G R EY2 V +LANDGREBE L AE1 N JH - R IH0 B +LANDGREN L AE1 N D - G R EH0 N +LANDHOLDER L AE1 N D - HH OW2 L - D ER0 +LANDHOLDERS L AE1 N D - HH OW2 L - D ER0 Z +LANDHOLDING L AE1 N D - HH OW2 L - D IH0 NG +LANDHOLDINGS L AE1 N D - HH OW2 L - D IH0 NG Z +LANDI L AE1 N - D IY0 +LANDIN L AE1 N - D IH0 N +LANDING L AE1 N - D IH0 NG +LANDINGHAM L AE1 N - D IH0 NG - HH AE2 M +LANDINGS L AE1 N - D IH0 NG Z +LANDINI L AA0 N - D IY1 - N IY0 +LANDINO L AA0 N - D IY1 - N OW0 +LANDIS L AE1 N - D IH0 S +LANDLADY L AE1 N D - L EY2 - D IY0 +LANDLER L AE1 N D - L ER0 +LANDLER'S L AE1 N D - L ER0 Z +LANDLESS L AE1 N D - L AH0 S +LANDLOCK L AE1 N D - L AA2 K +LANDLOCKED L AE1 N D - L AA2 K T +LANDLORD L AE1 N D - L AO2 R D +LANDLORD'S L AE1 N D - L AO2 R D Z +LANDLORDS L AE1 N D - L AO2 R D Z +LANDMAN L AE1 N D - M AH0 N +LANDMARK L AE1 N D - M AA2 R K +LANDMARK'S L AE1 N D - M AA2 R K S +LANDMARKS L AE1 N D - M AA2 R K S +LANDMASS L AE1 N D - M AE2 S +LANDMESSER L AE1 N D - M EH2 - S ER0 +LANDMINE L AE1 N D - M AY2 N +LANDMINES L AE1 N D - M AY2 N Z +LANDO L AE1 N - D OW0 +LANDOLFI L AA0 N - D OW1 L - F IY0 +LANDOLT L AE1 N - D OW2 L T +LANDON L AE1 N - D AH0 N +LANDOR L AE1 N - D ER0 +LANDOVER L AE1 N D - OW2 - V ER0 +LANDOW L AE1 N - D OW0 +LANDOWNER L AE1 N D - OW2 - N ER0 +LANDOWNERS L AE1 N D - OW2 - N ER0 Z +LANDOWSKI L AH0 N - D AO1 F S - K IY0 +LANDRENEAU L AE1 N - D R IH0 - N OW0 +LANDRESS L AE1 N - D R IH0 S +LANDRETH L AE1 N - D R IH0 TH +LANDRIEU L AE1 N - D R UW0 +LANDRIEU(2) L AE0 N - D R IY1 - UW0 +LANDRIGAN L AE1 N - D R IH0 - G AH0 N +LANDRITH L AE1 N - D R IH0 TH +LANDRUM L AE1 N - D R AH0 M +LANDRUS L AE1 N - D R AH0 S +LANDRY L AE1 N - D R IY0 +LANDRY'S L AE1 N - D R IY0 Z +LANDS L AE1 N D Z +LANDS' L AE1 N D Z +LANDSAT L AE1 N D - S AE1 T +LANDSBERG L AE1 N D Z - B ER0 G +LANDSBERGER L AE1 N D Z - B ER0 - G ER0 +LANDSBERGIS L AE1 N D Z - B ER0 - G AH0 S +LANDSCAPE L AE1 N D - S K EY2 P +LANDSCAPE(2) L AE1 N - S K EY2 P +LANDSCAPED L AE1 N D - S K EY2 P T +LANDSCAPER L AE1 N D - S K EY2 - P ER0 +LANDSCAPERS L AE1 N D - S K EY2 - P ER0 Z +LANDSCAPES L AE1 N D - S K EY2 P S +LANDSCAPES(2) L AE1 N - S K EY2 P S +LANDSCAPING L AE1 N D - S K EY2 - P IH0 NG +LANDSCAPING(2) L AE1 N - S K EY2 - P IH0 NG +LANDSLIDE L AE1 N D - S L AY2 D +LANDSLIDE(2) L AE1 N S - L AY2 D +LANDSLIDES L AE1 N D - S L AY2 D Z +LANDSLIDES(2) L AE1 N S - L AY2 D Z +LANDSMAN L AE1 N D Z - M AH0 N +LANDSNER L AE1 N D Z - N ER0 +LANDSTON L AE1 N D - S T AH0 N +LANDSTROM L AE1 N D - S T R AH0 M +LANDT L AE1 N T +LANDVIEW L AE1 N D - V Y UW2 +LANDVIEW'S L AE1 N D - V Y UW2 Z +LANDVIEWITE L AE1 N D - V Y UW0 - AY0 T +LANDVIEWITES L AE1 N D - V Y UW0 - AY0 T S +LANDWARD L AE1 N D - W ER0 D +LANDWEHR L AE1 N D - W IH0 R +LANDY L AE1 N - D IY0 +LANE L EY1 N +LANE'S L EY1 N Z +LANEHART L EY1 N - HH AA2 R T +LANES L EY1 N Z +LANESE L AA0 - N EY1 - Z IY0 +LANETE L AH0 - N IY1 T +LANEVE L AH0 - N IY1 V +LANEY L EY1 - N IY0 +LANFEAR L AE1 N - F ER0 +LANFORD L AE1 N - F ER0 D +LANG L AE1 NG +LANGAN L AE1 NG - G AH0 N +LANGBEHN L AE1 NG - B IH0 N +LANGBEIN L AE1 NG - B AY0 N +LANGBO L AE1 NG - B OW0 +LANGDALE L AE1 NG - D EY2 L +LANGDON L AE1 NG - D AH0 N +LANGE L AE1 NG +LANGE'S L AE1 NG Z +LANGEL L EY1 NG - G AH0 L +LANGELAND L EY1 NG - G IH0 - L AH0 N D +LANGELAND(2) L EY1 NG - G L AH0 N D +LANGELIER L EY1 N JH - L IY0 - ER0 +LANGELLA L AE0 N - JH EH1 - L ER0 +LANGEN L AE1 - NG AH0 N +LANGENBACH L EY1 NG - G IH0 N - B AA0 K +LANGENBERG L AE1 - NG AH0 N - B ER0 G +LANGENDERFER L EY1 NG - G IH0 N - D ER0 - F ER0 +LANGENDORF L EY1 NG - G IH0 N - D AO0 R F +LANGENFELD L EY1 NG - G IH0 N - F EH0 L D +LANGER L AE1 - NG ER0 +LANGERMAN L AE1 - NG ER0 - M AH0 N +LANGERS L AE1 - NG ER0 Z +LANGEVIN L EY1 NG - G IH0 - V IH0 N +LANGFELDT L AE1 NG - F EH0 L T +LANGFITT L AE1 NG - F IH0 T +LANGFORD L AE1 NG - F ER0 D +LANGGUTH L AE1 - NG UW0 TH +LANGHAM L AE1 NG - HH AE0 M +LANGHAM(2) L AE1 - NG AH0 M +LANGHANS L AE1 NG - HH AH0 N Z +LANGHOFF L AE1 NG - HH AO0 F +LANGHORN L AE1 NG - HH AO0 R N +LANGHORNE L AE1 NG - HH AO0 R N +LANGHORST L AE1 NG - HH AO0 R S T +LANGILL L AE1 NG - G AH0 L +LANGILLE L AA0 NG - G IY1 - L IY0 +LANGLAIS L AH0 NG - G L EY1 +LANGLAND L AE1 NG - L AH0 N D +LANGLEY L AE1 NG - L IY0 +LANGLEY(2) L AE1 NG - G L IY0 +LANGLINAIS L AE1 NG - G L IH0 - N EY0 +LANGLOIS L AH0 NG - L W AA1 +LANGMAN L AE1 NG - M AH0 N +LANGNER L AE1 NG - N ER0 +LANGO L AA1 NG - G OW0 +LANGONE L AA0 NG - G OW1 - N IY0 +LANGOWSKI L AH0 NG - G AO1 F S - K IY0 +LANGREHR L AE1 NG - G R IH0 R +LANGRIDGE L AE1 NG - G R IH0 JH +LANGSAM L AE1 NG - S AH0 M +LANGSDORF L AE1 NG Z - D AO0 R F +LANGSETH L AE1 NG - S EH0 TH +LANGSFORD L AE1 NG Z - F ER0 D +LANGSTAFF L AE1 NG - S T AE0 F +LANGSTON L AE1 NG - S T AH0 N +LANGTON L AE1 NG - T AH0 N +LANGUAGE L AE1 NG - G W AH0 JH +LANGUAGE(2) L AE1 NG - G W IH0 JH +LANGUAGES L AE1 NG - G W AH0 - JH AH0 Z +LANGUAGES(2) L AE1 NG - G W IH0 - JH IH0 Z +LANGUID L AE1 NG - G W AH0 D +LANGUISH L AE1 NG - G W IH0 SH +LANGUISHED L AE1 NG - G W IH0 SH T +LANGUISHES L AE1 NG - G W IH0 - SH IH0 Z +LANGUISHING L AE1 NG - G W IH0 - SH IH0 NG +LANGWELL L AE1 NG - G W EH0 L +LANGWORTH L AE1 NG - G W ER0 TH +LANGWORTHY L AE1 NG - W ER0 - DH IY0 +LANHAM L AE1 - N AH0 M +LANI L AA1 - N IY0 +LANIER L AH0 - N IH1 R +LANIGAN L AE1 - N IH0 - G AH0 N +LANING L EY1 - N IH0 NG +LANINGHAM L AE1 - N IH0 NG - HH AE2 M +LANIUS L EY1 - N IY0 - IH0 S +LANK L AE1 NG K +LANKA L AE1 NG - K AH0 +LANKA'S L AE1 NG - K AH0 Z +LANKAN L AE1 NG - K AH0 N +LANKANS L AE1 NG - K AH0 N Z +LANKFORD L AE1 NG K - F ER0 D +LANKTREE L AE1 NG K - T R IY2 +LANKY L AE1 NG - K IY0 +LANMAN L AE1 N - M AH0 N +LANN L AE1 N +LANNA L AE1 - N AH0 +LANNAN L AE1 - N AH0 N +LANNEN L AE1 - N AH0 N +LANNERS L AE1 - N ER0 Z +LANNI L AE1 - N IY0 +LANNING L AE1 - N IH0 NG +LANNO L AE1 - N OW0 +LANNO'S L AE1 - N OW0 Z +LANNOM L AE1 - N AH0 M +LANNON L AE1 - N AH0 N +LANNY L AE1 - N IY0 +LANO L AA1 - N OW0 +LANOLIN L AE1 - N AH0 - L AH0 N +LANOLIN(2) L AE1 - N AH0 - L IH0 N +LANOUE L AE1 - N UW0 - EY2 +LANOUETTE L AE1 - N UW0 - EH0 T +LANPHEAR L AE1 N - F IH2 R +LANPHER L AE1 N - F ER0 +LANPHERE L AE1 N - F IH2 R +LANPHIER L AE1 N - F IH0 R +LANSBERRY L AE1 N Z - B EH2 - R IY0 +LANSBURY L AE1 N Z - B ER2 - IY0 +LANSBURY'S L AE1 N Z - B ER2 - IY0 Z +LANSDALE L AE1 N Z - D EY2 L +LANSDELL L AE1 N Z - D AH0 L +LANSDOWN L AE1 N Z - D AW0 N +LANSDOWNE L AE1 N S - D AW2 N +LANSER L AE1 N - S ER0 +LANSFORD L AE1 N S - F ER0 D +LANSING L AE1 N - S IH0 NG +LANSING'S L AE1 N - S IH0 NG Z +LANSKY L AE1 N S - K IY0 +LANSTON L AE1 N - S T AH0 N +LANT L AE1 N T +LANTANA L AE0 N - T AE1 - N AH0 +LANTER L AE1 N - T ER0 +LANTERMAN L AE1 N - T ER0 - M AH0 N +LANTERN L AE1 N - T ER0 N +LANTERNS L AE1 N - T ER0 N Z +LANTHANUM L AE1 N - TH AH0 - N AH0 M +LANTHIER L AE1 N - TH IY0 - ER0 +LANTING L AE1 N - T IH0 NG +LANTIS L AA1 N - T IH0 S +LANTOS L AE1 N - T OW0 S +LANTRIP L AE1 N - T R IH0 P +LANTRY L AE1 N - T R IY0 +LANTZ L AE1 N T S +LANTZY L AE1 N T - Z IY0 +LANUM L AE1 - N AH0 M +LANVIN L AE1 N - V IH0 N +LANYARD L AE1 N - Y ER0 D +LANYI L AA1 N - Y IY0 +LANYON L AE1 - N Y AH0 N +LANZ L AE1 N Z +LANZA L AE1 N - Z AH0 +LANZELOTTI L AE2 N - Z AH0 - L AA1 - T IY0 +LANZER L AE1 N - Z ER0 +LANZET L AE1 N - Z AH0 T +LANZI L AE1 N - Z IY0 +LANZILLO L AE2 N - Z IH1 - L OW0 +LANZO L AE1 N - Z OW0 +LAO L AW1 +LAOS L AA1 - OW0 S +LAOS(2) L AW1 S +LAOS(3) L EY1 - OW0 S +LAOTIAN L EY0 - OW1 - SH AH0 N +LAOTIAN(2) L AA0 - OW1 - SH AH0 N +LAOTIAN(3) L AW1 - SH AH0 N +LAP L AE1 P +LAPAGE L AA1 - P IH0 JH +LAPAGLIA L AA0 - P AA1 G - L IY0 - AH0 +LAPALME L AA0 - P AA1 L - M IY0 +LAPAN L AH0 - P AE1 N +LAPAROSCOPIC L AE2 - P ER0 - AA1 - S K AH0 - P IH0 K +LAPAROSCOPIC(2) L AE2 - P R AH0 - S K AA1 - P IH0 K +LAPAROSCOPY L AE2 - P ER0 - AA1 - S K AH0 - P IY0 +LAPAROSCOPY(2) L AE1 - P R AH0 - S K AH0 - P IY0 +LAPD EH1 - L EY1 - P IY1 - D IY1 +LAPD'S EH1 - L EY1 - P IY1 - D IY1 Z +LAPDOG L AE1 P - D AO2 G +LAPE L EY1 P +LAPEL L AH0 - P EH1 L +LAPELS L AH0 - P EH1 L Z +LAPENNA L AA0 - P EH1 - N AH0 +LAPENTA L AA0 - P EH1 N - T AH0 +LAPERLE L AE1 - P ER0 - AH0 L +LAPEYROUSE L AE1 - P IH0 - R UW0 S +LAPHAM L AE1 - F AH0 M +LAPIANA L AA0 - P IY0 - AE1 - N AH0 +LAPIDARY L AE1 - P AH0 - D EH2 - R IY0 +LAPIDES L AH0 - P AY1 D Z +LAPIDUS L AE1 - P IH0 - D IH0 S +LAPIDUS(2) L AH0 - P IY1 - D AH0 S +LAPIER L EY1 - P IY0 - ER0 +LAPIERRE L AE1 - P IY0 - EH0 R +LAPIN L AE1 - P IH0 N +LAPINE L AA0 - P IY1 - N IY0 +LAPINSKI L AH0 - P IH1 N - S K IY0 +LAPINSKY L AH0 - P IH1 N - S K IY0 +LAPKA L AA1 P - K AH0 +LAPLACA L AH0 - P L AA1 - K AH0 +LAPLAND L AE1 P - L AE2 N D +LAPLANT L AH0 - P L AO1 N T +LAPLANTE L AH0 - P L AA1 N - T IY0 +LAPLUME L AH0 - P L UW1 M +LAPOINT L AH0 - P OY1 N T +LAPOINTE L AH0 - P OY1 N T +LAPOLLA L AH0 - P OW1 - L AH0 +LAPORTA L AH0 - P AO1 R - T AH0 +LAPORTE L AH0 - P AO1 R T +LAPP L AE1 P +LAPPE L AE1 P +LAPPED L AE1 P T +LAPPEN L AE1 - P AH0 N +LAPPIN L AH0 - P AE1 N +LAPPING L AE1 - P IH0 NG +LAPPS L AE1 P S +LAPRADE L AA0 - P R AA1 - D IY0 +LAPRAIRIE L AH0 - P R EH1 - R IY0 +LAPRE L EY1 - P ER0 +LAPRISE L AA1 - P R AY0 Z +LAPS L AE1 P S +LAPSE L AE1 P S +LAPSED L AE1 P S T +LAPSES L AE1 P - S IH0 Z +LAPSING L AE1 P - S IH0 NG +LAPSLEY L AE1 P S - L IY0 +LAPTOP L AE1 P - T AA2 P +LAPTOPS L AE1 P - T AA2 P S +LAR L AA1 R +LARA L AA1 - R AH0 +LARABEE L AE1 - R AH0 - B IY0 +LARAIA L AA0 - R AA1 - Y AH0 +LARAINE L ER0 - EY1 N +LARAMEE L AE1 - R AH0 - M IY0 +LARAMIE L EH1 - R AH0 - M IY0 +LARAMORE L AE1 - R AH0 - M AO2 R +LARAWAY L AE1 - R AH0 - W EY2 +LARCENOUS L AA1 R - S AH0 - N AH0 S +LARCENY L AA1 R - S AH0 - N IY0 +LARCH L AA1 R CH +LARCHE L AA1 R - CH IY0 +LARCHMONT L AA1 R CH - M AA2 N T +LARCHMONT'S L AA1 R CH - M AA2 N T S +LARCO L AA1 R - K OW2 +LARCOM L AA1 R - K AA2 M +LARCOM(2) L AA1 R - K AH0 M +LARD L AA1 R D +LARDED L AA1 R - D IH0 D +LARDER L AA1 R - D ER0 +LARDNER L AA1 R D - N ER0 +LARE L EH1 R +LAREAU L ER0 - OW1 +LAREDO L ER0 - EY1 - D OW0 +LAREINA L AA0 - R EY0 - IY1 - N AH0 +LARENA L AA0 - R EH1 - N AH0 +LAREW L AE1 - R UW0 +LARGE L AA1 R JH +LARGELY L AA1 R JH - L IY0 +LARGEN L AA1 R - G AH0 N +LARGENESS L AA1 R JH - N IH0 S +LARGENT L AA1 R - JH AH0 N T +LARGER L AA1 R - JH ER0 +LARGESS L AA1 R - JH AH0 S +LARGESSE L AA0 R - G EH1 S +LARGEST L AA1 R - JH AH0 S T +LARGO L AA1 R - G OW0 +LARIAT L EH1 - R IY0 - AH0 T +LARICCIA L AA0 - R IY1 - CH AH0 +LARIJANI L EH2 - R IH0 - JH AA1 - N IY0 +LARIMER L AE1 - R IH0 - M ER0 +LARIMORE L AA0 - R IY1 - M AO0 R +LARINA L AA0 - R IY1 - N AH0 +LARINE L AA0 - R IY1 - N IY0 +LARIOS L AA0 - R IY1 - OW0 Z +LARISCY L ER0 - IH1 S - K IY0 +LARISON L AE1 - R IH0 - S AH0 N +LARISSA L AA0 - R IY1 - S AH0 +LARIVEE L AE1 - R IH0 - V IY0 +LARIVIERE L AE1 - R IH0 - V IY0 - EH0 R +LARIZZA L ER0 - IH1 - Z AH0 +LARK L AA1 R K +LARKE L AA1 R K +LARKEY L AA1 R - K IY0 +LARKIN L AA1 R - K IH0 N +LARKINS L AA1 R - K IH0 N Z +LARKS L AA1 R K S +LARKSPUR L AA1 R K - S P ER2 +LARMER L AA1 R - M ER0 +LARMON L AA1 R - M AH0 N +LARMORE L AA1 R - M AO0 R +LARNED L AA1 R N D +LARNER L AA1 R - N ER0 +LAROCCA L AA0 - R OW1 - K AH0 +LAROCCO L AA0 - R OW1 - K OW0 +LAROCHE L AA0 - R OW1 SH +LAROCHE'S L AA0 - R OW1 - SH IH0 Z +LAROCHE(2) L ER0 - OW1 SH +LAROCHELLE L AE1 - R AH0 - SH AH0 L +LAROCK L AE1 - R AH0 K +LAROCQUE L ER0 - OW1 K +LAROE L AE1 - R OW0 +LAROQUE L ER0 - OW1 K +LAROSA L AA0 - R OW1 - S AH0 +LAROSE L AA0 - R OW1 - S IY0 +LAROSIERE L AA0 - R OW0 - S Y EH1 R +LAROUCHE L AA0 - R UW1 SH +LAROUX L ER0 - UW1 +LAROWE L AE1 - R AW0 +LARRABEE L AE1 - R AH0 - B IY0 +LARRANCE L AE1 - R AH0 N S +LARREA L AE1 - R IY0 - AH0 +LARRICK L AE1 - R IH0 K +LARRIMORE L AA0 - R IY1 - M AO0 R +LARRISON L AE1 - R IH0 - S AH0 N +LARRIVEE L AE1 - R IH0 - V IY0 +LARROQUETTE L AA2 - R OW0 - K EH1 T +LARROQUETTE'S L AA2 - R OW0 - K EH1 T S +LARROW L AE1 - R OW0 +LARRY L EH1 - R IY0 +LARRY'S L EH1 - R IY0 Z +LARS L AA1 R Z +LARSEN L AA1 R - S AH0 N +LARSH L AA1 R SH +LARSON L AA1 R - S AH0 N +LARSSON L AA1 R - S AH0 N +LARUE L ER0 - UW1 +LARUSO L AA0 - R UW1 - S OW0 +LARUSSA L AA0 - R UW1 - S AH0 +LARUSSO L AA0 - R UW1 - S OW0 +LARVA L AA1 R - V AH0 +LARVAE L AA1 R - V IY0 +LARVAL L AA1 R - V AH0 L +LARY L EH1 - R IY0 +LARYNGEAL L ER0 - IH1 N - JH IY0 - AH0 L +LARYNGITIS L EH2 - R AH0 N - JH AY1 - T AH0 S +LARYNX L EH1 - R IH0 NG K S +LARZELERE L ER0 - Z EH1 - L ER0 +LAS L AA1 S +LAS(2) EH1 - L EY1 - EH1 S +LASAGNA L AA0 - S AA1 - N Y AH0 +LASAGNA(2) L AH0 - Z AA1 - N Y AH0 +LASALA L AA0 - S AA1 - L AH0 +LASALLE L AH0 - S AE1 L +LASATER L AE1 - S EY0 - T ER0 +LASCA L AA1 S - K AH0 +LASCALA L AA0 - S K AA1 - L AH0 +LASCH L AE1 SH +LASCIVIOUS L AH0 - S IH1 - V IY0 - AH0 S +LASCO L AA1 - S K OW0 +LASCOLA L AA0 - S K OW1 - L AH0 +LASE L EY1 Z +LASECKI L AH0 - S EH1 T S - K IY0 +LASEK L AA1 - S EH0 K +LASER L EY1 - Z ER0 +LASER'S L EY1 - Z ER0 Z +LASERS L EY1 - Z ER0 Z +LASERSONIC L EY0 - Z ER0 - S AA1 - N IH0 K +LASERSONICS L EY0 - Z ER0 - S AA1 - N IH0 K S +LASETER L AE1 - S IY0 - T ER0 +LASETER(2) L AE1 - S IH0 - T ER0 +LASH L AE1 SH +LASHBROOK L AE1 SH - B R UH2 K +LASHED L AE1 SH T +LASHER L AE1 - SH ER0 +LASHES L AE1 - SH IH0 Z +LASHING L AE1 - SH IH0 NG +LASHINGS L AE1 - SH IH0 NG Z +LASHLEE L AE1 SH - L IY2 +LASHLEY L AE1 SH - L IY0 +LASHOMB L AE1 - SH AH0 M +LASHUA L AE1 - SH UW0 - AE0 +LASHWAY L AE1 SH - W EY2 +LASITER L AE1 - S AY0 - T ER0 +LASK L AE1 S K +LASKA L AA1 S - K AH0 +LASKE L EY1 S K +LASKER L AE1 - S K ER0 +LASKEY L AE1 S - K IY0 +LASKI L AA1 S - K IY0 +LASKIN L AE1 - S K IH0 N +LASKO L AE1 S - K OW0 +LASKOWSKI L AH0 S K - AO1 F S - K IY0 +LASKY L AE1 S - K IY0 +LASLEY L AE1 S - L IY0 +LASLO L AA1 S - L OW0 +LASMO L AE1 S - M OW0 +LASORDA L AH0 - S AO1 R - D AH0 +LASORSA L AA0 - S AO1 R - S AH0 +LASOTA L AA0 - S OW1 - T AH0 +LASPINA L AA0 S - P IY1 - N AH0 +LASS L AE1 S +LASSA L AA1 - S AH0 +LASSEIGNE L AH0 - S EY1 N Y +LASSEN L AE1 - S AH0 N +LASSER L AE1 - S ER0 +LASSETER L AE1 - S IY0 - T ER0 +LASSETTER L AE1 - S IH0 - T ER0 +LASSIE L AE1 - S IY0 +LASSILA L AA0 - S IY1 - L AH0 +LASSITER L AE1 - S AY0 - T ER0 +LASSMAN L AE1 S - M AH0 N +LASSNER L AE1 S - N ER0 +LASSO L AE1 - S OW0 +LASSWELL L AE1 S - W EH2 L +LAST L AE1 S T +LAST'S L AE1 S T S +LAST(2) L AO1 S T +LAST(3) L AE1 S +LASTED L AE1 - S T AH0 D +LASTED(2) L AE1 - S T IH0 D +LASTER L AE1 - S T ER0 +LASTEST L AE1 - S T AH0 S T +LASTING L AE1 - S T IH0 NG +LASTINGER L AE1 - S T IH0 - NG ER0 +LASTLY L AE1 S T - L IY0 +LASTRA L AE1 S - T R AH0 +LASTRAPES L AA0 S - T R AA1 - P EH0 S +LASTS L AE1 S T S +LASUMMA L AH0 - S UW1 - M AH0 +LASURE L AA1 - ZH ER0 +LASWELL L AE1 S - W EH2 L +LASZLO L AE1 Z - L OW0 +LAT L AA1 T +LAT(2) L AE1 T +LAT-LON L AE1 T - L AA1 N +LAT-LONS L AE1 T - L AA1 N Z +LATA L AA1 - T AH0 +LATAIF L AA0 - T EY1 F +LATANZE L AH0 - T AA1 N - Z EY2 +LATASHA L AH0 - T AA1 - SH AH0 +LATCH L AE1 CH +LATCHAW L AE1 - CH AO0 +LATCHED L AE1 CH T +LATCHES L AE1 - CH AH0 Z +LATCHES(2) L AE1 - CH IH0 Z +LATCHFORD L AE1 CH - F ER0 D +LATCHING L AE1 - CH IH0 NG +LATCHKEY L AE1 CH - K IY2 +LATE L EY1 T +LATECOMER L EY1 T - K AH0 - M ER0 +LATECOMERS L EY1 T - K AH0 - M ER0 Z +LATELIES L EY1 T - L IY0 Z +LATELLA L AA0 - T EH1 - L AH0 +LATELY L EY1 T - L IY0 +LATENCY L EY1 - T AH0 N - S IY0 +LATENDRESSE L AE1 - T IH0 N - D R EH0 S +LATENESS L EY1 T - N AH0 S +LATENT L EY1 - T AH0 N T +LATER L EY1 - T ER0 +LATERAL L AE1 - T ER0 - AH0 L +LATERITES L AE1 - T ER0 - AY2 T S +LATERRIERE L AA0 - T EH2 - R Y EH1 R +LATERZA L AA0 - T EH1 R - Z AH0 +LATEST L EY1 - T AH0 S T +LATEX L EY1 - T EH2 K S +LATEXES L EY1 - T EH0 K - S AH0 Z +LATH L AE1 TH +LATHAM L AE1 - TH AH0 M +LATHAM'S L AE1 - TH AH0 M Z +LATHAN L AE1 - TH AH0 N +LATHE L EY1 DH +LATHEM L AE1 - TH IH0 M +LATHER L AE1 - DH ER0 +LATHERS L AE1 - DH ER0 Z +LATHES L EY1 DH Z +LATHON L AE1 - TH AH0 N +LATHOURIS L AH0 - TH UW1 - R IH0 S +LATHROP L AE1 TH - R AH0 P +LATIGO L AH0 - T IY1 - G OW0 +LATIMER L AE1 - T AH0 - M ER0 +LATIMORE L AA0 - T IY1 - M AO0 R +LATIN L AE1 - T AH0 N +LATINA L AA0 - T IY1 - N AH0 +LATINA(2) L AH0 - T IY1 - N AH0 +LATINATE L AE1 - T AH0 - N EY2 T +LATINI L AA0 - T IY1 - N IY0 +LATINO L AA0 - T IY1 - N OW0 +LATINO(2) L AH0 - T IY1 - N OW0 +LATINOS L AA0 - T IY1 - N OW0 S +LATINS L AE1 - T AH0 N Z +LATIOLAIS L AE1 - T IY0 - AH0 - L EY0 +LATISHA L AH0 - T IH1 - SH AH0 +LATITUDE L AE1 - T AH0 - T UW2 D +LATITUDES L AE1 - T AH0 - T UW2 D Z +LATITUDINAL L AE2 - T AH0 - T UW1 - D AH0 - N AH0 L +LATKA L AA1 T - K AH0 +LATKAS L AA1 T - K AH0 Z +LATNER L AE1 T - N ER0 +LATO L AA1 - T OW0 +LATON L AE1 - T AH0 N +LATONA L AA0 - T OW1 - N AH0 +LATONIA L AA0 - T OW1 - N IY0 - AH0 +LATORRE L AA0 - T AO1 - R IY0 +LATOUR L AH0 - T UH1 R +LATOURETTE L AE1 - T UH0 - R EH0 T +LATOYA L AH0 - T OY1 - AH0 +LATOYA'S L AH0 - T OY1 - AH0 Z +LATRINE L AH0 - T R IY1 N +LATRINES L AH0 - T R IY1 N Z +LATROBE L AA0 T - R OW1 B +LATRONE L AH0 - T R OW1 N +LATS L AA1 T S +LATS(2) L AE1 T S +LATSCH L AE1 CH +LATSHAW L AE1 - CH AO2 +LATSON L AE1 T - S AH0 N +LATTA L AE1 - T AH0 +LATTANZI L AA0 - T AA1 N - Z IY0 +LATTANZIO L AA0 - T AA1 N - Z IY0 - OW0 +LATTE L AA1 - T EY2 +LATTER L AE1 - T ER0 +LATTER'S L AE1 - T ER0 Z +LATTICE L AE1 - T AH0 S +LATTICEWORK L AE1 - T AH0 S - W ER2 K +LATTIMER L AE1 - T AH0 - M ER0 +LATTIMORE L AA0 - T IY1 - M AO0 R +LATTIN L AE1 - T IH0 N +LATTNER L AE1 T - N ER0 +LATTY L AE1 - T IY0 +LATULIPPE L AA0 - T UW0 - L IY1 - P IY0 +LATVALA L AA0 T - V AA1 - L AH0 +LATVIA L AE1 T - V IY0 - AH0 +LATVIA'S L AE1 T - V IY0 - AH0 Z +LATVIAN L AE1 T - V IY0 - AH0 N +LATVIANS L AE1 T - V IY0 - AH0 N Z +LATZ L AE1 T S +LATZOFF L AE1 T - Z AO0 F +LATZOFF(2) L AE1 T - S AO0 F +LAU L AW1 +LAUB L AO1 B +LAUBACH L AW1 - B AA2 K +LAUBACHER L AW1 - B AA2 - K ER0 +LAUBE L AO1 B +LAUBENSTEIN L AW1 - B AH0 N - S T AY0 N +LAUBENSTEIN(2) L AW1 - B AH0 N - S T IY0 N +LAUBENTHAL L AW1 - B IH0 N - TH AH0 L +LAUBER L AW1 - B ER0 +LAUBHAN L AW1 B - HH AH0 N +LAUBSCHER L AW1 B - SH ER0 +LAUCH L AA1 CH +LAUCK L AO1 K +LAUD L AO1 D +LAUDABLE L AO1 - D AH0 - B AH0 L +LAUDANUM L AO1 - D AH0 - N AH0 M +LAUDATORY L AO1 - D AH0 - T AO2 - R IY0 +LAUDE L AO1 D +LAUDED L AO1 - D IH0 D +LAUDENSLAGER L AW1 - D IH0 N - S L EY0 - G ER0 +LAUDER L AO1 - D ER0 +LAUDER(2) L AW1 - D ER0 +LAUDERBACK L AW1 - D ER0 - B AE0 K +LAUDERBAUGH L AO0 - D ER1 - B AO0 +LAUDERDALE L AO1 - D ER0 - D EY2 L +LAUDICINA L AO0 - D IY0 - CH IY1 - N AH0 +LAUDING L AO1 - D IH0 NG +LAUDISE L AO1 - D AY2 Z +LAUDON L AO1 - D AH0 N +LAUDS L AO1 D Z +LAUE L AW1 - IY0 +LAUER L AW1 - ER0 +LAUERMAN L AW1 - ER0 - M AH0 N +LAUF L AO1 F +LAUFENBERG L AW1 - F AH0 N - B ER0 G +LAUFER L AO1 - F ER0 +LAUFFER L AO1 - F ER0 +LAUGH L AE1 F +LAUGHABLE L AE1 - F AH0 - B AH0 L +LAUGHED L AE1 F T +LAUGHER L AA1 - K ER0 +LAUGHERY L AE1 - F ER0 - IY0 +LAUGHING L AE1 - F IH0 NG +LAUGHINGHOUSE L AE1 - F IH0 NG - HH AW2 S +LAUGHINGLY L AE1 - F IH0 NG - L IY0 +LAUGHINGSTOCK L AE1 - F IH0 NG - S T AA2 K +LAUGHLER L AE1 F - L ER0 +LAUGHLIN L AA1 K - L IH0 N +LAUGHLIN(2) L AA1 F - L IH0 N +LAUGHMAN L AE1 F - M AH0 N +LAUGHNER L AE1 F - N ER0 +LAUGHREY L AE1 - F R IY0 +LAUGHRIDGE L AE1 - F R IH2 JH +LAUGHS L AE1 F S +LAUGHTER L AE1 F - T ER0 +LAUGHTON L AO1 - T AH0 N +LAUINGER L AW1 - IH0 - NG ER0 +LAUMAN L AW1 - M AH0 N +LAUMANN L AW1 - M AH0 N +LAUN L AO1 N +LAUNCELOT L AO1 N - S IH0 - L AA2 T +LAUNCH L AO1 N CH +LAUNCHED L AO1 N CH T +LAUNCHER L AO1 N - CH ER0 +LAUNCHERS L AO1 N - CH ER0 Z +LAUNCHES L AO1 N - CH AH0 Z +LAUNCHES(2) L AO1 N - CH IH0 Z +LAUNCHING L AO1 N - CH IH0 NG +LAUNCHINGS L AO1 N - CH IH0 NG Z +LAUNDER L AO1 N - D ER0 +LAUNDERED L AO1 N - D ER0 D +LAUNDERER L AO1 N - D ER0 - ER0 +LAUNDERERS L AO1 N - D ER0 - ER0 Z +LAUNDERING L AO1 N - D ER0 - IH0 NG +LAUNDRIES L AO1 N - D R IY0 Z +LAUNDROMAT L AO1 N - D R AH0 - M AE2 T +LAUNDRY L AO1 N - D R IY0 +LAUNER L AO1 - N ER0 +LAUNIUS L AW1 - N IY0 - IH0 S +LAUPER L AW1 - P ER0 +LAUR L AO1 R +LAURA L AO1 - R AH0 +LAURA'S L AO1 - R AH0 Z +LAURANCE L AO1 - R AH0 N S +LAURDAN L AO1 R - D AH0 N +LAURE L AO1 R +LAUREANO L AO0 - R IY1 - N OW0 +LAUREATE L AO1 - R IY0 - AH0 T +LAUREATES L AO1 - R IY0 - AH0 T S +LAUREEN L AO0 - R IY1 N +LAUREL L AO1 - R AH0 L +LAUREL'S L AO1 - R AH0 L Z +LAURELS L AO1 - R AH0 L Z +LAUREN L AO1 - R AH0 N +LAURENA L AO0 - R EH1 - N AH0 +LAURENCE L AO1 - R AH0 N S +LAURENE L AO0 - R IY1 N +LAURENS L AO1 - R AH0 N Z +LAURENT L AO1 - R AH0 N T +LAURENTIAN L AO0 - R EH1 N - SH AH0 N +LAURENTIIS L AO1 - R AH0 N - T IY2 Z +LAURENZ L AW1 - R EY0 N Z +LAURETARIAN L AO2 - R IH0 - T EH1 - R IY0 - AH0 N +LAURETTA L ER0 - EH1 - T AH0 +LAURETTE L AO0 - R EH1 T +LAUREY L AO1 - R IY0 +LAURI L AO1 - R IY0 +LAURI(2) L AA1 - R IY0 +LAURIA L AO1 - R IY0 - AH0 +LAURIAT'S L AA1 - R IY0 - IH0 T S +LAURIATS L AA1 - R IY0 - IH0 T S +LAURICE L AO1 - R IH0 S +LAURICELLA L AO2 - R IH0 - S EH1 - L AH0 +LAURICH L AW1 - R IH0 K +LAURIDSEN L AO0 - R IH1 D - S AH0 N +LAURIE L AO1 - R IY0 +LAURIE'S L AO1 - R IY0 Z +LAURIE'S(2) L AA1 - R IY0 Z +LAURIE(2) L AA1 - R IY0 +LAURIN L AO1 - R IH0 N +LAURINO L AO0 - R IY1 - N OW0 +LAURITSEN L AW1 - R IH0 T - S AH0 N +LAURITSEN(2) L AA0 - R IY1 T - S AH0 N +LAURITZEN L AW1 - R IH0 T - Z AH0 N +LAURITZEN(2) L AA0 - R IY1 T - Z AH0 N +LAURO L AO1 - R OW0 +LAURSEN L AW1 R - S AH0 N +LAURY L AO1 - R IY0 +LAUSANNE L AO2 - S AE1 N +LAUSCH L AW1 SH +LAUT L AO1 T +LAUTEN L AW1 - T AH0 N +LAUTENBACH L AW1 - T AH0 N - B AA0 K +LAUTENBERG L AW1 - T AH0 N - B ER0 G +LAUTENSCHLAGER L AW1 - T IH0 N - SH L EY0 - G ER0 +LAUTER L AW1 - T ER0 +LAUTERBACH L AW1 - T ER0 - B AA0 K +LAUTH L AO1 TH +LAUTNER L AW1 T - N ER0 +LAUTZENHEISER L AW1 T - Z AH0 N - HH AY0 - Z ER0 +LAUVER L AW1 - V ER0 +LAUX L AO1 K S +LAUZON L AW1 - Z AH0 N +LAVA L AA1 - V AH0 +LAVAL L AH0 - V AA1 L +LAVALLE L AA0 - V AA1 - L IY0 +LAVALLEE L AE1 - V AH0 - L IY0 +LAVALLEY L AE1 - V AH0 - L IY0 +LAVAN L EY1 - V AH0 N +LAVARNWAY L AH0 - V AA1 R N - W EY0 +LAVATORIES L AE1 - V AH0 - T AO2 - R IY0 Z +LAVATORY L AE1 - V AH0 - T AO2 - R IY0 +LAVE L EY1 V +LAVEAU L AH0 - V OW1 +LAVECCHIA L AA0 - V EH1 - K IY0 - AH0 +LAVEDA L AA0 - V EY1 - D AH0 +LAVELL L AA0 - V EY1 L +LAVELLE L AH0 - V EH1 L +LAVELY L EY1 V - L IY0 +LAVEN L EY1 - V AH0 N +LAVENDER L AE1 - V AH0 N - D ER0 +LAVENTHOL L EY1 - V AH0 N - TH AA0 L +LAVENTURE L AA0 - V EH1 N - CH ER0 +LAVER L EY1 - V ER0 +LAVERDIERE L AA0 - V ER0 - D IH1 - R IY0 +LAVERDURE L AA0 - V ER0 - D UH1 - R IY0 +LAVERE L AA0 - V EH1 - R EY0 +LAVERGNE L AH0 - V ER1 N Y +LAVERNE L AH0 - V ER1 N +LAVERS L EY1 - V ER0 Z +LAVERTY L AE1 - V ER0 - T IY0 +LAVERY L EY1 - V ER0 - IY0 +LAVETTA L AA0 - V EH1 - T AH0 +LAVETTE L AH0 - V EH1 T +LAVEY L EY1 - V IY0 +LAVI L EY1 - V IY0 +LAVIE L EY1 - V IY0 +LAVIE(2) L AH0 - V IY1 +LAVIGNE L AH0 - V IH1 N Y +LAVIN L AE1 - V IH0 N +LAVINA L AA0 - V IY1 - N AH0 +LAVINDER L AE1 - V IH0 N - D ER0 +LAVINE L AA0 - V IY1 - N IY0 +LAVINIA L AH0 - V IH1 N - Y AH0 +LAVIOLETTE L AE2 - V IY0 - OW0 - L EH1 T +LAVIS L AE1 - V IH0 S +LAVISH L AE1 - V IH0 SH +LAVISHED L AE1 - V IH0 SH T +LAVISHES L AE1 - V IH0 - SH AH0 Z +LAVISHING L AE1 - V IH0 - SH IH0 NG +LAVISHLY L AE1 - V IH0 SH - L IY0 +LAVOIE L AH0 V - W AA1 +LAVORGNA L AH0 - V AO1 R - N AH0 +LAVORO L AH0 - V AO1 - R OW0 +LAVOY L AH0 - V OY1 +LAVY L EY1 - V IY0 +LAW L AO1 +LAW'S L AO1 Z +LAW(2) L AA1 +LAWALL L AW1 - AH0 L +LAWARE L AH0 - W EH1 R +LAWBREAKER L AO1 - B R EY2 - K ER0 +LAWBREAKERS L AO1 - B R EY2 - K ER0 Z +LAWBREAKING L AO1 - B R EY2 - K IH0 NG +LAWES L AO1 Z +LAWFORD L AO1 - F ER0 D +LAWFUL L AO1 - F AH0 L +LAWFULLY L AO1 - F AH0 - L IY0 +LAWHEAD L AO1 - HH EH2 D +LAWHON L AO1 - HH AH0 N +LAWHORN L AE1 - W ER0 N +LAWHORNE L AE1 - W ER0 N +LAWING L AO1 - IH0 NG +LAWLER L AO1 - L ER0 +LAWLESS L AO1 - L AH0 S +LAWLESSNESS L AO1 - L AH0 S - N AH0 S +LAWLEY L AO1 - L IY0 +LAWLIS L AO1 - L IH0 S +LAWLOR L AO1 - L ER0 +LAWMAKER L AO1 - M EY2 - K ER0 +LAWMAKER'S L AO1 - M EY2 - K ER0 Z +LAWMAKERS L AO1 - M EY2 - K ER0 Z +LAWMAKERS' L AO1 - M EY1 - K ER0 Z +LAWMAKING L AO1 - M EY2 - K IH0 NG +LAWMAN L AO1 - M AH0 N +LAWMEN L AO1 - M EH1 N +LAWN L AO1 N +LAWNER L AO1 - N ER0 +LAWNER(2) L AW1 - N ER0 +LAWNICZAK L AA1 V - N IH0 - CH AE0 K +LAWNMOWER L AO1 N - M OW0 - ER0 +LAWNMOWERS L AO1 N - M OW0 - ER0 Z +LAWNS L AO1 N Z +LAWNSDALE L AO1 N Z - D EY2 L +LAWNSDALE'S L AO1 N Z - D EY2 L Z +LAWPLAN L AO1 - P L AE2 N +LAWRANCE L AO1 - R AH0 N S +LAWRENCE L AO1 - R AH0 N S +LAWRENCE'S L AO1 - R AH0 N - S IH0 Z +LAWRENCEBURG L AO1 - R AH0 N S - B ER0 G +LAWRENCEVILLE L AO1 - R AH0 N S - V IH2 L +LAWRENCIUM L AO0 - R EH1 N - S IY0 - AH0 M +LAWRENZ L AA1 - V R IH0 N Z +LAWRIE L AO1 - R IY0 +LAWRY L AO1 - R IY0 +LAWS L AO1 Z +LAWSHE L AO1 SH +LAWSON L AO1 - S AH0 N +LAWSON'S L AO1 - S AH0 N Z +LAWSUIT L AO1 - S UW2 T +LAWSUIT'S L AO1 - S UW2 T S +LAWSUITS L AO1 - S UW2 T S +LAWTER L AO1 - T ER0 +LAWTHER L AO1 - DH ER0 +LAWTON L AO1 - T AH0 N +LAWVER L AO1 - V ER0 +LAWYER L AO1 - Y ER0 +LAWYER'S L AO1 - Y ER0 Z +LAWYER(2) L OY1 - ER0 +LAWYERING L AO1 - Y ER0 - IH0 NG +LAWYERLY L AO1 - Y ER0 - L IY0 +LAWYERS L AO1 - Y ER0 Z +LAWYERS' L AO1 - Y ER0 Z +LAWYERS(2) L OY1 - ER0 Z +LAX L AE1 K S +LAXALT L AE1 K - S AA0 L T +LAXATIVE L AE1 K - S AH0 - T IH0 V +LAXATIVES L AE1 K - S AH0 - T IH0 V Z +LAXEY L AE1 K - S IY0 +LAXITY L AE1 K - S AH0 - T IY0 +LAXSON L AE1 K - S AH0 N +LAXTON L AE1 K - S T AH0 N +LAY L EY1 +LAY'S L EY1 Z +LAY-UP L EY1 - AH1 P +LAYAH L EY1 - AH0 +LAYBORNE L EY1 - B AO2 R N +LAYBORNE'S L EY1 - B AO2 R N Z +LAYCOCK L EY1 - K AA2 K +LAYDEN L EY1 - D AH0 N +LAYE L EY1 +LAYER L EY1 - ER0 +LAYERED L EY1 - ER0 D +LAYERING L EY1 - ER0 - IH0 NG +LAYERS L EY1 - ER0 Z +LAYFIELD L EY1 - F IY2 L D +LAYHEE L EY1 - HH IY0 +LAYING L EY1 - IH0 NG +LAYLAND L EY1 - L AH0 N D +LAYMAN L EY1 - M AH0 N +LAYMAN'S L EY1 - M AH0 N Z +LAYMEN L EY1 - 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S AA1 - R AH0 +LAZZARI L AA0 T - S AA1 - R IY0 +LAZZARINI L AA0 T - S AA0 - R IY1 - N IY0 +LAZZARO L AA0 T - S AA1 - R OW0 +LAZZELL L AE1 - Z AH0 L +LCS EH1 L - S IY1 - EH1 S +LE L AH0 +LEA L IY1 +LEABO L IY1 - B OW0 +LEACH L IY1 CH +LEACH'S L IY1 - CH IH0 Z +LEACHED L IY1 CH T +LEACHES L IY1 - CH IH0 Z +LEACHING L IY1 - CH IH0 NG +LEACHMAN L IY1 CH - M AH0 N +LEACHMAN'S L IY1 CH - M AH0 N Z +LEACOCK L IY1 - K AA2 K +LEAD L EH1 D +LEAD(2) L IY1 D +LEADBELLY L EH1 D - B EH0 - L IY0 +LEADBETTER L IY1 D - B IH0 - T ER0 +LEADBETTER(2) L EH1 D - B IH0 - T ER0 +LEADED L EH1 - D IH0 D +LEADEN L EH1 - D AH0 N +LEADER L IY1 - D ER0 +LEADER'S L IY1 - D ER0 Z +LEADERLESS L IY1 - D ER0 - L AH0 S +LEADERS L IY1 - D ER0 Z +LEADERS' L IY1 - D ER0 Z +LEADERSHIP L IY1 - D ER0 - SH IH2 P +LEADERSHIP'S L IY1 - D ER0 - SH IH2 P S +LEADERSHIPS L IY1 - D ER0 - SH IH2 P S +LEADING L IY1 - D IH0 NG +LEADINGHAM L IY1 - D IH0 NG - HH AE2 M +LEADOFF L IY1 D - AO2 F +LEADS L IY1 D Z +LEADVILLE L EH1 D - V IH2 L +LEADWORK L EH1 D - 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S IH0 Z +LEASEBACK L IY1 S - B AE2 K +LEASEBACKS L IY1 S - B AE2 K S +LEASED L IY1 S T +LEASEHOLD L IY1 S - HH OW2 L D +LEASER L IY1 - S ER0 +LEASES L IY1 - S IH0 Z +LEASEWAY L IY1 S - W EY2 +LEASEWAY'S L IY1 S - W EY2 Z +LEASH L IY1 SH +LEASHED L IY1 SH T +LEASHES L IY1 - SH IH0 Z +LEASING L IY1 - S IH0 NG +LEASING'S L IY1 - S IH0 NG Z +LEASK L IY1 S K +LEASON L IY1 - S AH0 N +LEAST L IY1 S T +LEASURE L EH1 - ZH ER0 +LEATH L IY1 TH +LEATH'S L IY1 TH S +LEATHAM L IY1 - TH AH0 M +LEATHEM L EH1 - TH IH0 M +LEATHER L EH1 - DH ER0 +LEATHERBACK L EH1 - DH ER0 - B AE2 K +LEATHERBACKS L EH1 - DH ER0 - B AE2 K S +LEATHERBERRY L EH1 - DH ER0 - B EH2 - R IY0 +LEATHERBURY L EH1 - DH ER0 - B EH2 - R IY0 +LEATHERMAN L EH1 - DH ER0 - M AH0 N +LEATHERS L EH1 - DH ER0 Z +LEATHERWOOD L EH1 - DH ER0 - W UH2 D +LEATHERY L EH1 - DH ER0 - IY0 +LEATON L IY1 - T AH0 N +LEATRICE L IY1 - T R IH0 S +LEAVE L IY1 V +LEAVELL L IY1 - V AH0 L +LEAVELLE L AH0 - V EH1 L +LEAVEN L EH1 - V AH0 N +LEAVENED L EH1 - V AH0 N D +LEAVENING L EH1 - V AH0 N - IH0 NG +LEAVENS L EH1 - V AH0 N Z +LEAVENWORTH L EH1 - V AH0 N - W ER2 TH +LEAVER L IY1 - V ER0 +LEAVER'S L IY1 - V ER0 Z +LEAVERTON L IY1 - V ER0 - T AH0 N +LEAVES L IY1 V Z +LEAVEY L IY1 - V IY0 +LEAVING L IY1 - V IH0 NG +LEAVINGS L IY1 - V IH0 NG Z +LEAVINS L IY1 - V IH0 N Z +LEAVITT L EH1 - V IH0 T +LEAVY L IY1 - V IY0 +LEAZER L IY1 - Z ER0 +LEBANESE L EH1 - B AH0 - N IY2 Z +LEBANON L EH1 - B AH0 - N AH0 N +LEBANON'S L EH1 - B AH0 - N AH0 N Z +LEBAR L IH0 - B AA1 R +LEBARON L AH0 - B EH1 - R AH0 N +LEBARRON L AH0 - B EH1 - R AH0 N +LEBEAU L IH0 - B OW1 +LEBECK L IY1 - B EH0 K +LEBED L EH1 - B EH0 D +LEBED'S L EH1 - B EH0 D Z +LEBEDA L EY0 - B EY1 - D AH0 +LEBEGUE L EH1 - B IH0 G +LEBEL L EH1 - B AH0 L +LEBEN L EH1 - B AH0 N +LEBENTHAL L EH1 - B AH0 N - TH AO2 L +LEBER L IY1 - B ER0 +LEBERT L EH1 - B ER0 T +LEBLANC L AH0 - B L AE1 NG K +LEBLE L EH1 - B AH0 L +LEBLEU L EH1 - B L UW0 +LEBLOND L IH0 - B L AA1 N D +LEBO L EY1 - B OW0 +LEBOEUF L AH0 - B AH1 F +LEBOLD L EH1 - B OW0 L D +LEBON L EH1 - B AH0 N +LEBOUEF L AH0 - B AH1 F +LEBOVITZ L EH1 - B AH0 - V IH0 T S +LEBOW L AH0 - B OW1 +LEBOW'S L AH0 - B OW1 Z +LEBOWITZ L EH1 - B AH0 - W IH0 T S +LEBRECHT L EH1 - B R IH0 K T +LEBRETON L EH1 - B R IH0 - T AA0 N +LEBRON L EH1 - B R AH0 N +LEBRUN L EH1 - B R AH0 N +LEBSACK L EH1 B - S AH0 K +LEBUDDE L AH0 - B AH1 D +LECATES L IH0 - K EY1 T S +LECCESE L EH0 - CH EY1 - Z IY0 +LECH L EH1 K +LECHER L EH1 - CH ER0 +LECHEROUS L EH1 - CH ER0 - AH0 S +LECHLER L EH1 K - L ER0 +LECHMAN L EH1 K - M AH0 N +LECHMERE L EH1 K - M IH2 R +LECHNER L EH1 K - N ER0 +LECHTENBERG L EH1 K - T AH0 N - B ER0 G +LECHTERS L EH1 K - T ER0 Z +LECHUGA L EH1 - CH UW0 - G AH0 +LECITHIN L EH1 - S AH0 - TH AH0 N +LECITHIN(2) L EH1 - S IH0 - TH IH0 N +LECK L EH1 K +LECKEY L EH1 - K IY0 +LECKIE L EH1 - K IY0 +LECKRONE L EH1 - K R AH0 N +LECLAIR L EH1 K - L ER0 +LECLAIRE L IH0 - K L EH1 R +LECLERC L AH0 K - L ER1 K +LECLERCQ L EH1 K - L ER0 K +LECLERE L EH1 K - L ER0 +LECLI L EH1 K - L IY0 +LECLI'S L EH1 - K L IY0 Z +LECOCQ L EH1 - K AH0 K +LECOMBA L AH0 - K AH1 M - B AH0 +LECOMPTE L EH1 - K AH0 M P T +LECOMTE L IH0 - K AA1 M T +LECONTE L EH0 - K OW1 N - T IY0 +LECOUNT L IH0 - K UW1 N T +LECRONE L EH0 - K R OW1 - N IY0 +LECROY L EH1 K - R OY0 +LECTEC L EH1 K - T EH2 K +LECTER L EH1 K - T ER0 +LECTERN L EH1 K - T ER0 N +LECTOR L EH1 K - T ER0 +LECTURE L EH1 K - CH ER0 +LECTURED L EH1 K - CH ER0 D +LECTURER L EH1 K - CH ER0 - ER0 +LECTURERS L EH1 K - CH ER0 - ER0 Z +LECTURES L EH1 K - CH ER0 Z +LECTURING L EH1 K - CH ER0 - IH0 NG +LECUYER L EH1 - K AY0 - ER0 +LECY L IY1 - S IY0 +LED L EH1 D +LEDA L IY1 - D AH0 +LEDAY L IY1 - D EY0 +LEDBETTER L EH1 D - B ER0 - T ER0 +LEDDEN L EH1 - D AH0 N +LEDDY L EH1 - D IY0 +LEDEEN L AH0 - D IY1 N +LEDER L EH1 - D ER0 +LEDERER L EH1 - D ER0 - ER0 +LEDERLE L EH1 - D ER0 - L IY0 +LEDERMAN L IY1 - D ER0 - M AH0 N +LEDESMA L EH0 - D EH1 S - M AH0 +LEDET L EH1 - D IH0 T +LEDEZMA L EY0 - D EY1 Z - M AH0 +LEDFORD L EH1 D - F ER0 D +LEDGE L EH1 JH +LEDGER L EH1 - JH ER0 +LEDGERS L EH1 - JH ER0 Z +LEDGERWOOD L EH1 - JH ER0 - W UH2 D +LEDGES L EH1 - JH IH0 Z +LEDIN L EH1 - D IH0 N +LEDLOW L EH1 D - L OW1 +LEDO L EY1 - D OW0 +LEDONNE L EH1 - D AH0 N +LEDOUX L IH0 - D UW1 +LEDVINA L EH0 D - V IY1 - N AH0 +LEDWELL L EH1 D - W EH1 L +LEDWITH L EH1 D - W IH1 TH +LEDYARD L EH1 D - Y ER0 D +LEE L IY1 +LEE'S L IY1 Z +LEEB L IY1 B +LEECE L IY1 S +LEECH L IY1 CH +LEECHES L IY1 - CH IH0 Z +LEECO L IY1 - K OW0 +LEED L IY1 D +LEEDER L IY1 - D ER0 +LEEDHAM L IY1 D - HH AH0 M +LEEDOM L IY1 - D AH0 M +LEEDS L IY1 D Z +LEEDS'S L IY1 D - Z IH0 Z +LEEDY L IY1 - D IY0 +LEEK L IY1 K +LEEKS L IY1 K S +LEEMAN L IY1 - M AH0 N +LEEMING L IY1 - M IH0 NG +LEEMON L IY1 - M AH0 N +LEEN L IY1 N +LEENA L IY1 - N AH0 +LEEP L IY1 P +LEEPER L IY1 - P ER0 +LEERY L IH1 - R IY0 +LEES L IY1 Z +LEESBURG L IY1 Z - B ER0 G +LEESE L IY1 S +LEESER L IY1 - S ER0 +LEESON L IY1 - S AH0 N +LEESON'S L IY1 - S AH0 N Z +LEET L IY1 T +LEETCH L IY1 CH +LEETE L IY1 T +LEETH L IY1 TH +LEEUWEN L UW1 - AH0 N +LEEUWEN(2) L Y UW1 - AH0 N +LEEVER L IY1 - V ER0 +LEEWARD L IY1 - W ER0 D +LEEWAY L IY1 - W EY2 +LEFAUVE L AH0 - F AA1 V +LEFAVE L IH0 - F EY1 V +LEFCOURT L EH1 F - K AO2 R T +LEFEBER L AH0 - F EY1 - B ER0 +LEFEBRE L AH0 - F EY1 - B ER0 +LEFEBURE L EH1 - F IH0 - B Y UW0 R +LEFEBVRE L AH0 - F EY1 - B ER0 +LEFEVER L AH0 - F EY1 - V ER0 +LEFEVERS L AH0 - F EY1 - V ER0 Z +LEFEVRE L AH0 - F EY1 - V ER0 +LEFF L EH1 F +LEFF'S L EH1 F S +LEFFEL L EH1 - F AH0 L +LEFFERT L EH1 - F ER0 T +LEFFERTS L EH1 - F ER0 T S +LEFFEW L EH1 - F Y UW0 +LEFFINGWELL L EH1 - F IH0 NG - G W EH0 L +LEFFLER L EH1 F - L ER0 +LEFKOWITZ L EH1 F - K AH0 - W IH0 T S +LEFLER L EH1 F - L ER0 +LEFLORE L EH1 F - L ER0 +LEFORT L EH1 - F ER0 T +LEFRAK L EH1 - F R AE0 K +LEFRANCOIS L EH1 - F R AH0 N - K W AA0 +LEFRERE L AH0 - F R EH1 R +LEFT L EH1 F T +LEFT'S L EH1 F T S +LEFT-BRACE L EH1 F T - B R EY1 S +LEFT-WINGER L EH2 F T - W IH1 - NG ER0 +LEFT-WINGERS L EH1 F T - W IH1 - NG ER0 Z +LEFTHAND L EH0 F T - HH AE1 N D +LEFTHANDED L EH0 F T - HH AE1 N - D IH0 D +LEFTIES L EH1 F - T IY0 Z +LEFTISM L EH1 F - T IH2 - Z AH0 M +LEFTIST L EH1 F - T IH0 S T +LEFTISTS L EH1 F - T IH0 S T S +LEFTISTS(2) L EH1 F - T IH0 S S +LEFTISTS(3) L EH1 F - T IH0 S +LEFTON L EH1 F - T AH0 N +LEFTOVER L EH1 F T - OW2 - V ER0 +LEFTOVERS L EH1 F T - OW2 - V ER0 Z +LEFTRIDGE L EH1 F - T R IH2 JH +LEFTWARD L EH1 F T - W ER0 D +LEFTWICH L EH1 F T - W IH0 K +LEFTWING L EH1 F T - W IH2 NG +LEFTY L EH1 F - T IY0 +LEG L EH1 G +LEG'S L EH1 G Z +LEGACIES L EH1 - G AH0 - S IY0 Z +LEGACY L EH1 - G AH0 - S IY0 +LEGAL L IY1 - G AH0 L +LEGALESE L EH1 - G AH0 - L IY2 S +LEGALISM L IY1 - G AH0 - L IH2 - Z AH0 M +LEGALISTIC L EH2 - G AH0 - L IH1 - S T IH0 K +LEGALITIES L IY0 - G AE1 - L IH0 - T IY0 Z +LEGALITIES(2) L IH0 - G AE1 - L IH0 - T IY0 Z +LEGALITY L IY0 - G AE1 - L AH0 - T IY0 +LEGALIZATION L IY2 - G AH0 - L AH0 - Z EY1 - SH AH0 N +LEGALIZE L IY1 - G AH0 - L AY2 Z +LEGALIZED L IY1 - G AH0 - L AY2 Z D +LEGALIZING L IY1 - G AH0 - L AY2 - Z IH0 NG +LEGALLY L IY1 - G AH0 - L IY0 +LEGALS L IY1 - G AH0 L Z +LEGAN L EH1 - G AH0 N +LEGARE L EH0 - G AA1 - R IY0 +LEGASPI L EH0 - G AA1 - S P IY0 +LEGATE L EH1 - G AH0 T +LEGATES L EH1 - G AH0 T S +LEGATO L AH0 - G AA1 - T OW2 +LEGAULT L IH0 - G OW1 +LEGE L IY1 JH +LEGEND L EH1 - JH AH0 N D +LEGENDARY L EH1 - JH AH0 N - D EH2 - R IY0 +LEGENDRE L EH1 - G IH0 N - D R EY0 +LEGENDS L EH1 - JH AH0 N D Z +LEGENT L EH1 - JH AH0 N T +LEGENT'S L EH1 - JH AH0 N T S +LEGER L EH1 - JH ER0 +LEGERDEMAIN L EH2 - JH ER0 - D AH0 - M EY1 N +LEGERE L EH1 - G ER0 +LEGET L EH1 - G IH0 T +LEGETTE L IH0 - ZH EH1 T +LEGG L EH1 G +LEGGE L EH1 G +LEGGED L EH1 - G AH0 D +LEGGED(2) L EH1 G D +LEGGETT L EH1 - G IH0 T +LEGGETTE L EH1 - G EH1 T +LEGGING L EH1 - G IH0 NG +LEGGINGS L EH1 - G IH0 NG Z +LEGGIO L EH1 - JH IY0 - OW0 +LEGGITT L EH1 - G IH0 T +LEGGY L EH1 - G IY0 +LEGHORN L EH1 G - HH AO0 R N +LEGHORNS L EH1 G - HH AO0 R N Z +LEGIBILITY L EH2 - JH AH0 - B IH1 - L AH0 - T IY0 +LEGIBLE L EH1 - JH AH0 - B AH0 L +LEGION L IY1 - JH AH0 N +LEGIONARIES L IY1 - JH AH0 - N EH2 - R IY0 Z +LEGIONNAIRE L IY1 - JH AH0 - N EH2 R +LEGIONNAIRE'S L IY1 - JH AH0 - N EH2 R Z +LEGIONNAIRES L IY1 - JH AH0 - N EH2 R Z +LEGIONS L IY1 - JH AH0 N Z +LEGISLATE L EH1 - JH IH0 - S L EY2 T +LEGISLATED L EH1 - JH AH0 S - L EY2 - T AH0 D +LEGISLATES L EH1 - JH IH0 - S L EY2 T S +LEGISLATING L EH1 - JH IH0 - S L EY2 - T IH0 NG +LEGISLATION L EH2 - JH AH0 S - L EY1 - SH AH0 N +LEGISLATION'S L EH2 - JH AH0 S - L EY1 - SH AH0 N Z +LEGISLATIVE L EH1 - JH AH0 S - L EY2 - T IH0 V +LEGISLATIVELY L EH1 - JH IH0 - S L EY2 - T IH0 V - L IY0 +LEGISLATOR L EH1 - JH AH0 S - L EY2 - T ER0 +LEGISLATORS L EH1 - JH AH0 S - L EY2 - T ER0 Z +LEGISLATORS' L EH1 - JH IH0 - S L EY2 - T ER0 Z +LEGISLATURE L EH1 - JH AH0 S - L EY2 - CH ER0 +LEGISLATURE'S L EH1 - JH AH0 S - L EY2 - CH ER0 Z +LEGISLATURES L EH1 - JH IH0 S - L EY2 - CH ER0 Z +LEGIT L EH1 - JH IH0 T +LEGIT(2) L AH0 - JH IH1 T +LEGITIMACY L AH0 - JH IH1 - T AH0 - M AH0 - S IY0 +LEGITIMACY(2) L IH0 - JH IH1 - T AH0 - M AH0 - S IY0 +LEGITIMATE L AH0 - JH IH1 - T AH0 - M AH0 T +LEGITIMATELY L AH0 - JH IH1 - T AH0 - M AH0 T - L IY0 +LEGITIMIZE L AH0 - JH IH1 - T AH0 - M AY2 Z +LEGITIMIZE(2) L IH0 - JH IH1 - T AH0 - M AY2 Z +LEGITIMIZED L IH0 - JH IH1 - T AH0 - M AY2 Z D +LEGITIMIZES L IH0 - JH IH1 - T AH0 - M AY2 - Z IH0 Z +LEGITIMIZING L IH0 - JH IH1 - T AH0 - M AY2 - Z IH0 NG +LEGLER L EH1 G - L ER0 +LEGLESS L EH1 G - L AH0 S +LEGNER L EH1 G - N ER0 +LEGO L EH1 - G OW0 +LEGORE L EH1 - G AO2 R +LEGRAND L EH1 - G R AE0 N D +LEGRANDE L EH1 - G R AE0 N D +LEGREE L IH0 - G R IY1 +LEGROOM L AH0 G - R UW1 M +LEGROS L EH1 - G R OW0 Z +LEGS L EH1 G Z +LEGUME L EH1 - G Y UW2 M +LEGUMES L EH1 - G Y UW2 M Z +LEGWORK L EH1 G - W ER2 K +LEH L EH1 +LEHAN L IY1 - HH AE0 N +LEHANE L AH0 - HH EY1 N +LEHDER L EH1 - D ER0 +LEHDER'S L EH1 - D ER0 Z +LEHENBAUER L EY1 - AH0 N - B AW0 - ER0 +LEHEW L EY1 - HH Y UW0 +LEHIGH L IY1 - HH AY2 +LEHL L EH1 L +LEHMAN L IY1 - M AH0 N +LEHMAN'S L IY1 - M AH0 N Z +LEHMANN L EY1 - M AH0 N +LEHMER L EH1 - M ER0 +LEHMKUHL L EH1 M - K AH0 L +LEHN L EH1 N +LEHNE L EH1 N +LEHNEN L EH1 - N AH0 N +LEHNER L EH1 - N ER0 +LEHNERT L EH1 - N ER0 T +LEHNHOFF L EH1 N - HH AO0 F +LEHR L EH1 R +LEHRER L EH1 - R ER0 +LEHRKE L EH1 R K +LEHRMAN L EH1 R - M AH0 N +LEHRMANN L EH1 R - M AH0 N +LEHTINEN L EH1 - T IH0 - N AH0 N +LEHTONEN L IH0 - T AA1 - N AH0 N +LEI L EY1 +LEIB L IY1 B +LEIBEL L AY1 - B AH0 L +LEIBENSPERGER L AY1 - B IH0 N - S P ER0 - G ER0 +LEIBER L IY1 - B ER0 +LEIBERT L AY1 - B ER0 T +LEIBFRIED L AY1 B - F ER0 - IY0 D +LEIBLER L IY1 B - L ER0 +LEIBMAN L IY1 B - M AH0 N +LEIBNIZ L IY1 B - N IH0 Z +LEIBOLD L AY1 - B OW2 L D +LEIBOVIT L IY1 - B AH0 - V IH0 T +LEIBOVITZ L IY1 - B AH0 - V IH0 T S +LEIBOWITZ L IY1 - B OW0 - IH0 T S +LEIBRAND L AY1 - B R AE2 N D +LEIBRAND'S L AY1 - B R AE2 N D Z +LEIBRAND'S(2) L IY1 - B R AE2 N D Z +LEIBRAND(2) L IY1 - B R AE2 N D +LEIBROCK L AY1 - B R AH0 K +LEIBY L IY1 - B IY0 +LEICESTER L EH1 - S T ER0 +LEICHLITER L AY1 K - L IY0 - T ER0 +LEICHNER L AY1 K - N ER0 +LEICHT L AY1 K T +LEICHTER L AY1 K - T ER0 +LEICHTMAN L AY1 K T - M AH0 N +LEICHTY L AY1 K - T IY0 +LEICK L IY1 K +LEIDER L AY1 - D ER0 +LEIDERMAN L AY1 - D ER0 - M AH0 N +LEIDERMAN'S L AY1 - D ER0 - M AH0 N Z +LEIDIG L AY1 - D IH0 G +LEIDNER L AY1 D - N ER0 +LEIDY L IY1 - D IY0 +LEIER L AY1 - ER0 +LEIF L IY1 F +LEIFER L AY1 - F ER0 +LEIFESTE L AY1 - F IH0 S T +LEIFHEIT L AY1 F - HH AY0 T +LEIGH L IY1 +LEIGHT L EY1 T +LEIGHTON L EY1 - T AH0 N +LEIGHTY L EY1 - T IY0 +LEIJA L IY1 - Y AH0 +LEIKAM L AY1 - K AH0 M +LEIKEN L AY1 - K AH0 N +LEIKER L AY1 - K ER0 +LEILA L IY1 - L AH0 +LEILANI L AH0 - L AA1 - N IY0 +LEILIA L IY1 - L IY0 - AH0 +LEIMAN L AY1 - M AH0 N +LEIMBACH L AY1 M - B AA2 K +LEIMER L AY1 - M ER0 +LEIMERT L IY1 - M ER0 T +LEIMERT(2) L AY1 - M ER0 T +LEIN L IY1 N +LEINART L AY1 - N AA0 R T +LEINBACH L AY1 N - B AA2 K +LEINBERGER L AY1 N - B ER0 - G ER0 +LEINDECKER L AY1 N - D IH0 - K ER0 +LEINEN L AY1 - N AH0 N +LEINER L AY1 - N ER0 +LEINGANG L AY1 NG - G AH0 NG +LEININGER L AY1 - N IH0 - NG ER0 +LEINO L EY0 - IY1 - N OW0 +LEINONEN L AY1 - N AH0 - N AH0 N +LEINS L IY1 N Z +LEINSDORF L AY1 N Z - D AO2 R F +LEINWEBER L AY1 N - W IH0 - B ER0 +LEIPER L IY1 - P ER0 +LEIPHART L AY1 P - HH AA0 R T +LEIPOLD L AY1 - P OW0 L D +LEIPZIG L AY1 P - S IH0 G +LEIS L EY1 Z +LEISCHNER L AY1 SH - N ER0 +LEISE L IY1 S +LEISENRING L AY1 - S IH0 - N R IH0 NG +LEISER L AY1 - S ER0 +LEISEY L IY1 - S IY0 +LEISHMAN L IY1 SH - M AH0 N +LEISING L AY1 - S IH0 NG +LEISINGER L AY1 - S IH0 N - JH ER0 +LEISNER L AY1 S - N ER0 +LEISS L AY1 S +LEIST L IY1 - IH0 S T +LEISTER L IY1 - S T ER0 +LEISTIKOW L AY0 - S T IH1 - K OW0 +LEISTNER L AY1 S T - N ER0 +LEISURE L EH1 - ZH ER0 +LEISURE(2) L IY1 - ZH ER0 +LEISURELY L IY1 - Z ER0 - L IY0 +LEISY L IY1 - S IY0 +LEITCH L IY1 CH +LEITE L IY1 T +LEITER L AY1 - T ER0 +LEITERMAN L AY1 - T ER0 - M AH0 N +LEITH L IY1 TH +LEITHA L IY1 - DH AH0 +LEITHIA L IY1 - DH IY0 - AH0 +LEITMAN L AY1 T - M AH0 N +LEITMOTIF L AY1 T - M OW0 - T IY2 F +LEITNER L AY1 T - N ER0 +LEITZ L IY1 T S +LEITZEL L AY1 T - Z AH0 L +LEITZKE L AY1 T - S K IY0 +LEIVA L IY1 - V AH0 +LEJA L EY1 - Y AH0 +LEJEUNE L EH1 - Y OY0 N +LEK L EH1 K +LEKACHMAN L EH1 - K AA2 K - M AH0 N +LEKAS L IY1 - K AH0 Z +LEKBERG L EH1 K - B ER0 G +LELA L IY1 - L AH0 +LELAH L EH1 - L AH0 +LELAND L IY1 - L AH0 N D +LELEUX L IH0 - L OW1 +LELIA L IY1 - L Y AH0 +LELLOUCHE L EH0 - L UW1 SH +LEM L EH1 M +LEMA L IY1 - M AH0 +LEMAIRE L AH0 - M EH1 R +LEMAITRE L IH0 - M EY1 - T ER0 +LEMAITRE(2) L IH0 - M EY1 - T R AH0 +LEMAN L IY1 - M AH0 N +LEMANS L EH1 - M AH0 N Z +LEMANSKI L IH0 - M AE1 N - S K IY0 +LEMAR L IH0 - M AA1 R +LEMARR L EH1 - M ER0 +LEMASTER L IY1 - M AE0 - S T ER0 +LEMASTERS L AH0 - M AE1 - S T ER0 Z +LEMAY L EH1 - M EY0 +LEMBCKE L EH1 M B - K IY0 +LEMBERG L EH1 M - B ER0 G +LEMBERGER L EH1 M - B ER0 - G ER0 +LEMBKE L EH1 M B K +LEMBO L EH1 M - B OW0 +LEMBURG L EH1 M - B ER0 G +LEMCKE L EH1 M - K IY0 +LEMELIN L EH1 - M IH0 - L IH0 N +LEMELLE L IH0 - M EH1 L +LEMEN L IY1 - M EH0 N +LEMERCIER L AH0 - M ER1 - S IY0 - ER0 +LEMERCIER'S L AH0 - M ER1 - S IY0 - ER0 Z +LEMERE L EH1 - M ER0 +LEMERY L EH1 - M ER0 - IY0 +LEMIEUX L AH0 - M Y UW1 +LEMING L IY1 - M IH0 NG +LEMING(2) L EH1 - M IH0 NG +LEMIRE L EY0 - M IH1 - R EY0 +LEMKE L EH1 M - K IY0 +LEMLER L EH1 M - L ER0 +LEMLEY L EH1 M - L IY0 +LEMM L EH1 M +LEMMA L EH1 - M AH0 +LEMME L EH1 - M AH0 +LEMMEN L EH1 - M EH0 N +LEMMER L EH1 - M ER0 +LEMMERMAN L EH1 - M ER0 - M AH0 N +LEMMIE L EH1 - M IY0 +LEMMING L EH1 - M IH0 NG +LEMMINGS L EH1 - M IH0 NG Z +LEMMO L EH1 - M OW0 +LEMMON L EH1 - M AH0 N +LEMMOND L EH1 - M AH0 N D +LEMMONS L EH1 - M AH0 N Z +LEMOINE L IH0 - M OY1 N +LEMON L EH1 - M AH0 N +LEMONADE L EH1 - M AH0 - N EY1 D +LEMOND L EH1 - M AH0 N D +LEMONDS L EH1 - M AH0 N D Z +LEMONS L EH1 - M AH0 N Z +LEMONT L AH0 - M AA1 N T +LEMOS L IY1 - M OW0 Z +LEMP L EH1 M P +LEMPERT L EH1 M - P ER0 T +LEMPKE L EH1 M P K +LEMUELA L EH0 - M UW1 - L AH0 +LEMUR L IY1 - M ER0 +LEMURS L IY1 - M ER0 Z +LEMUS L IY1 - M AH0 S +LEN L EH1 N +LENA L IY1 - N AH0 +LENA'S L IY1 - N AH0 Z +LENAHAN L EH1 - N AH0 - HH AE0 N +LENARD L EH1 - N ER0 D +LENART L EH1 - N ER0 T +LENARZ L EY1 - N AA0 R Z +LENCIONI L EH0 N - CH OW1 - N IY0 +LEND L EH1 N D +LENDER L EH1 N - D ER0 +LENDER'S L EH1 N - D ER0 Z +LENDERMAN L EH1 N - D ER0 - M AH0 N +LENDERS L EH1 N - D ER0 Z +LENDERS' L EH1 N - D ER0 Z +LENDING L EH1 N - D IH0 NG +LENDINGS L EH1 N - D IH0 NG Z +LENDL L EH1 N - D AH0 L +LENDS L EH1 N D Z +LENE L IY1 N +LENEHAN L EH1 - N IH0 - HH AE0 N +LENETA L EH0 - N EH1 - T AH0 +LENEXA L EH0 - N EH1 K - S AH0 +LENG L EH1 NG +LENGACHER L EH1 NG - G AH0 - K ER0 +LENGEL L EH1 NG - G AH0 L +LENGER L EH1 - NG ER0 +LENGLE L IH1 - NG AH0 L +LENGTH L EH1 NG K TH +LENGTH(2) L EH1 NG TH +LENGTHEN L EH1 NG - TH AH0 N +LENGTHEN(2) L EH1 NG K - TH AH0 N +LENGTHENED L EH1 NG - TH AH0 N D +LENGTHENED(2) L EH1 NG K - TH AH0 N D +LENGTHENING L EH1 NG - TH AH0 - N IH0 NG +LENGTHENING(2) L EH1 NG K - TH AH0 N - IH0 NG +LENGTHENS L EH1 NG - TH AH0 N Z +LENGTHENS(2) L EH1 NG K - TH AH0 N Z +LENGTHS L EH1 NG K TH S +LENGTHS(2) L EH1 NG TH S +LENGTHWAYS L EH1 NG TH - W EY2 Z +LENGTHWISE L EH1 NG TH - W AY2 Z +LENGTHY L EH1 NG - TH IY0 +LENGYEL L EH1 NG - Y EH2 L +LENHARD L EH1 - N ER0 D +LENHARDT L EH1 N - HH AA2 R T +LENHART L EH1 N - HH AA2 R T +LENHOFF L EH1 N - HH AO2 F +LENIENCY L IY1 - N Y AH0 N - S IY0 +LENIENT L IY1 - N IY0 - AH0 N T +LENIENT(2) L IY1 - N Y AH0 N T +LENIENTLY L IY1 - N Y AH0 N T - L IY0 +LENIG L EH1 - N IH0 G +LENIHAN L EH1 - N IH0 - HH AE0 N +LENIN L EH1 - N AH0 N +LENIN'S L EH1 - N IH0 N Z +LENIN(2) L EH1 - N IH0 N +LENINGRAD L EH1 - N AH0 N - G R AE2 D +LENINGRAD(2) L EH1 - N IH0 N - G R AE2 D +LENINGTON L EH1 - N IH0 NG - T AH0 N +LENINISM L EH1 - N IH0 - N IH2 - Z AH0 M +LENINIST L EH1 - N IH0 - N IH0 S T +LENIS L IY1 - N AH0 S +LENITA L EH0 - N IY1 - T AH0 +LENIUS L IY1 - N IY0 - IH0 S +LENK L EH1 NG K +LENKE L EH1 NG K +LENKER L EH1 NG - K ER0 +LENNANE L EH0 - N EY1 N +LENNANE(2) L IY1 - N AE2 N +LENNAR L EH1 - N ER0 +LENNARD L EH1 - N ER0 D +LENNARTZ L EH1 - N AA0 R T S +LENNIE L EH1 - N IY0 +LENNIG L EH1 - N IH0 G +LENNING L EH1 - N IH0 NG +LENNON L EH1 - N AH0 N +LENNON'S L EH1 - N AH0 N Z +LENNOX L EH1 - N AH0 K S +LENNY L EH1 - N IY0 +LENO L EH1 - N OW0 +LENO'S L EH1 - N OW0 Z +LENO'S(2) L IY1 - N OW0 Z +LENO(2) L IY1 - N OW0 +LENON L EH1 - N AH0 N +LENORA L EH1 - N ER0 - AH0 +LENORE L AH0 - N AO1 R +LENOS L IY1 - N OW0 Z +LENOX L EH1 - N AH0 K S +LENS L EH1 N Z +LENSCRAFTER L EH1 N Z - K R AE2 F - T ER0 +LENSCRAFTERS L EH1 N Z - K R AE2 F - T ER0 Z +LENSES L EH1 N - Z AH0 Z +LENSES(2) L EH1 N - Z IH0 Z +LENSING L EH1 N - S IH0 NG +LENT L EH1 N T +LENTIL L EH1 N - T AH0 L +LENTILS L EH1 N - T AH0 L Z +LENTINAN L EH1 N - T IH0 - N AH0 N +LENTINE L EH0 N - T IY1 - N IY0 +LENTINI L EH0 N - T IY1 - N IY0 +LENTNER L EH1 N T - N ER0 +LENTO L EH1 N - T OW0 +LENTON L EH1 N - T AH0 N +LENTS L EH1 N T S +LENTSCH L EH1 N CH +LENTZ L EH1 N T S +LENTZSCH L EH1 N T S +LENY L EH1 - N IY0 +LENZ L EH1 N Z +LENZ'S L EH1 N - Z IH0 Z +LENZEN L EH1 N - Z AH0 N +LENZI L EH1 N - Z IY0 +LENZINI L EH0 N - Z IY1 - N IY0 +LENZO L EH1 N - Z OW0 +LEO L IY1 - OW0 +LEO'S L IY1 - OW0 Z +LEODA L EH1 - D AH0 +LEOINE L IH0 - OY1 N +LEOLA L EH1 - L AH0 +LEOMA L IH0 - OW1 - M AH0 +LEOMINSTER L IY1 - OW0 - M IH2 N - S T ER0 +LEON L IY1 - AA0 N +LEON'S L IY1 - AA0 N Z +LEONA L IY1 - OW0 - N AH0 +LEONARA L EH0 - N AA1 - R AH0 +LEONARD L EH1 - N ER0 D +LEONARD'S L EH1 - N ER0 D Z +LEONARDA L EH0 - N AA1 R - D AH0 +LEONARDI L EH0 - N AA1 R - D IY0 +LEONARDIS L EH1 - N AA0 R - D IH0 S +LEONARDO L IY2 - AH0 - N AA1 R - D OW0 +LEONE L IY0 - OW1 N +LEONEL L IY1 - OW0 - N AH0 L +LEONELLE L EH0 - N EH1 L +LEONELLI L EH0 - N EH1 - L IY0 +LEONERD L IY1 - AH0 - N ER0 D +LEONES L IY0 - OW1 N Z +LEONETTI L EH0 - N EH1 - T IY0 +LEONG L EH1 NG +LEONHARD L IY1 - AH0 N - HH AA0 R T +LEONHARDT L EH1 N - HH AA0 R T +LEONHART L EH1 N - HH AA0 R T +LEONI L EH0 - OW1 - N IY0 +LEONI(2) L IY0 - OW1 - N IY0 +LEONID L IY1 - AH0 - N IH0 D +LEONIE L EH1 - N IY0 +LEONORA L IY2 - AH0 - N AO1 - R AH0 +LEONORE L IY1 - AH0 - N AO0 R +LEONTINE L EH0 N - T IY1 - N IY0 +LEONTINE(2) L IY1 - AA0 N - T AY1 N +LEONTYNE L IY1 - AA0 N - T AY0 N +LEOPARD L EH1 - P ER0 D +LEOPARDS L EH1 - P ER0 D Z +LEOPOLD L IY1 - AH0 - P OW2 L D +LEOPOLDINA L EH0 - P OW0 L - D IY1 - N AH0 +LEOPOLDINE L EH0 - P OW0 L - D IY1 - N IY0 +LEOPOLDO L IY2 - AH0 - P OW1 L - D OW0 +LEORA L EH1 - R AH0 +LEOS L IY1 - OW0 Z +LEOTA L EH1 - T AH0 +LEOTARD L IY1 - AH0 - T AA2 R D +LEP L EH1 P +LEPAGE L EH1 - P IH0 JH +LEPAK L EH1 - P AH0 K +LEPARD L EH1 - P ER0 D +LEPE L IY1 P +LEPER L EH1 - P ER0 +LEPERA L EH0 - P EH1 - R AH0 +LEPERE L EY0 - P EH1 - R EY0 +LEPERS L EH1 - P ER0 Z +LEPINE L EH0 - P IY1 - N IY0 +LEPISTO L EH0 - P IY1 - S T OW0 +LEPKOWSKI L IH0 P - K AO1 F S - K IY0 +LEPLEY L EH1 P - L IY0 +LEPORE L EH0 - P AO1 - R IY0 +LEPP L EH1 P +LEPPANEN L EH1 - P AH0 - N AH0 N +LEPPARD L EH1 - P ER0 D +LEPPEK L EH1 - P IH0 K +LEPPER L EH1 - P ER0 +LEPPERT L EH1 - P ER0 T +LEPPLA L EH1 P - L AH0 +LEPPO L EH1 - P OW0 +LEPRE L EH1 - P ER0 +LEPROSY L EH1 - P R AH0 - S IY0 +LEPTIN L EH1 P - T IH0 N +LEPTONIC L EH0 P - T AA1 - N IH0 K +LEQUIRE L EY0 - K W IH1 - R EY0 +LERACH L EH1 - R AH0 K +LERCH L ER1 K +LERCHE L ER1 CH +LEREAH L EH2 - R EY1 - AH0 +LERETTE L ER0 - EH1 T +LEREW L EH1 - R UW0 +LERHMAN L ER1 - M AH0 N +LERMA L ER1 - M AH0 +LERMAN L EH1 R - M AH0 N +LERNER L ER1 - N ER0 +LERNER'S L ER1 - N ER0 Z +LEROUX L ER0 - UW1 +LEROY L IY1 - R OY2 +LERRO L EH1 - R OW0 +LERSCH L ER1 SH +LERUM L EH1 - R AH0 M +LES L EH1 S +LESA L IY1 - S AH0 +LESABRE L AH0 S - EY1 - B ER0 +LESABRES L EH1 - S AH0 - B R AH0 S +LESAGE L EH1 - S IH0 JH +LESANE L EY0 - S AA1 - N EY0 +LESBIAN L EH1 Z - B IY0 - AH0 N +LESBIANISM L EH1 Z - B IY0 - AH0 - N IH0 Z M +LESBIANS L EH1 Z - B IY0 - AH0 N Z +LESCAZE L AH0 - S K EY1 Z +LESCH L EH1 SH +LESCHLY L EH1 SH - L IY0 +LESER L EH1 - S ER0 +LESESNE L EH1 - S IH0 N +LESH L EH1 SH +LESHARO L EH0 - SH AA1 - R OW0 +LESHER L EH1 - SH ER0 +LESIAK L EH1 - S IY0 - AE0 K +LESIEUR L EH1 - S IY0 - ER0 +LESINSKI L IH0 - S IH1 N - S K IY0 +LESION L IY1 - ZH AH0 N +LESIONS L IY1 - ZH AH0 N Z +LESKE L EH1 S K +LESKO L EH1 - S K OW0 +LESLEY L EH1 S - L IY0 +LESLIE L EH1 S - L IY0 +LESMEISTER L EH1 S - M AY2 - S T ER0 +LESNER L EH1 S - N ER0 +LESNIAK L EH1 S - N IY0 - AE0 K +LESNICK L EH1 S - N IH0 K +LESNIEWSKI L EH0 S - N EH1 F S - K IY0 +LESNIEWSKI(2) L EH0 S - N UW1 S - K IY0 +LESOTHO L EH0 - S OW1 - TH OW0 +LESPERANCE L EH0 - S P ER0 - AA1 N S +LESPINASSE L EH1 - S P IH0 - N AE0 S +LESS L EH1 S +LESSARD L EH1 - S ER0 D +LESSEE L EH0 - S IY1 +LESSEES L EH0 - S IY1 Z +LESSEN L EH1 - S AH0 N +LESSENED L EH1 - S AH0 N D +LESSENING L EH1 - S AH0 N - IH0 NG +LESSENS L EH1 - S AH0 N Z +LESSER L EH1 - S ER0 +LESSIG L EH1 - S IH0 G +LESSIN L EH1 - S IH0 N +LESSING L EH1 - S IH0 NG +LESSLEY L EH1 S - L IY0 +LESSMAN L EH1 S - M AH0 N +LESSNAU L EH1 S - N OW2 +LESSNAU(2) L EH1 S - N AW2 +LESSNER L EH1 S - N ER0 +LESSON L EH1 - S AH0 N +LESSONS L EH1 - S AH0 N Z +LESSOR L EH1 - S ER0 +LESSORS L EH1 - S ER0 Z +LEST L EH1 S T +LESTAT L EH1 - S T AE2 T +LESTER L EH1 - S T ER0 +LESTRANGE L EH0 - S T R EY1 N JH +LESUER L EH0 - 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T ER0 - IH0 NG +LETTERMAN L EH1 - T ER0 - M AH0 N +LETTERMAN'S L EH1 - T ER0 - M AH0 N Z +LETTERPRESS L EH1 - T ER0 - P R EH2 S +LETTERS L EH1 - T ER0 Z +LETTICE L EH1 - T IH0 S +LETTIE L EH1 - T IY0 +LETTIERE L EH1 - T IY0 - EH0 R +LETTIERI L EH0 - T IH1 - R IY0 +LETTING L EH1 - T IH0 NG +LETTISH L EH1 - T IH0 SH +LETTS L EH1 T S +LETTUCE L EH1 - T AH0 S +LETTY L EH1 - T IY0 +LETUP L EH1 T - AH2 P +LETZ L EH1 T S +LEU L UW1 +LEU'S L UW1 Z +LEUBERT L UW1 - B ER0 T S +LEUCADIA L UW0 - K EY1 - D IY0 - AH0 +LEUCADIA'S L UW0 - K EY1 - D IY0 - AH0 Z +LEUCK L UW1 K +LEUENBERGER L UW1 - AH0 N - B ER0 - G ER0 +LEUFFER L UW1 - F ER0 +LEUGERS L OY1 - G ER0 Z +LEUKEMIA L UW0 - K IY1 - M IY0 - AH0 +LEUKOCYTE L UW1 - K AH0 - S AY2 T +LEUMI L UW1 - M IY0 +LEUNG L UW1 NG +LEUPOLD L OY1 - P OW0 L D +LEUSCHNER L OY1 SH - N ER0 +LEUTHOLD L OY1 - TH OW0 L D +LEUTWILER L UW1 T - W AY2 - L ER0 +LEUZZI L UW1 - Z IY0 +LEV L EH1 V +LEVA L EH1 - V AH0 +LEVAL L AH0 - V AA1 L +LEVALLEY L EH1 - V AH0 L - IY0 +LEVAMISOLE L AH0 - 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V IH0 N - G UH0 D +LEVENHAGEN L EH1 - V IH0 N - HH AH0 - G AH0 N +LEVENS L IY1 - V AH0 N Z +LEVENSON L EH1 - V IH0 N - S AH0 N +LEVENSTEIN L IY1 - V AH0 N - S T AY0 N +LEVENSTEIN(2) L IY1 - V AH0 N - S T IY0 N +LEVENTHAL L EH1 - V AH0 N - TH AO2 L +LEVEQUE L AH0 - V IY1 K +LEVER L EH1 - V ER0 +LEVER(2) L IY1 - V ER0 +LEVERAGE L EH1 - V ER0 - IH0 JH +LEVERAGE(2) L EH1 - V R AH0 JH +LEVERAGE(3) L IY1 - V ER0 - IH0 JH +LEVERAGED L IY1 - V ER0 - IH0 JH D +LEVERAGED(2) L EH1 - V ER0 - IH0 JH D +LEVERAGED(3) L EH1 - V R IH0 JH D +LEVERAGING L EH1 - V R IH0 - JH IH0 NG +LEVERAGING(2) L EH1 - V ER0 - IH0 - JH IH0 NG +LEVERENZ L EH1 - V ER0 - IH0 N S +LEVERETT L EH1 - V ER0 - EH0 T +LEVERETTE L EH1 - V ER0 - EH0 T +LEVERICH L EH1 - V ER0 - IH0 K +LEVERING L EH1 - V ER0 - IH0 NG +LEVERONE L EH0 - V ER0 - OW1 - N IY0 +LEVERS L EH1 - V ER0 Z +LEVERSON L EH1 - V ER0 - S AH0 N +LEVERT L EH1 - V ER0 T +LEVERTON L IH0 - V ER1 - T AH0 N +LEVESQUE L IH0 - V EH1 S K +LEVETT L EH1 - V IH0 T +LEVEY L IH0 - 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V IH0 T +LEVITT'S L EH1 - V IH0 T S +LEVITTE L EH1 - V IH0 T +LEVITTE'S L EH1 - V IH0 T S +LEVITTOWN L EH1 - V IH0 - T AW2 N +LEVITTOWN'S L EH1 - V IH0 - T AW2 N Z +LEVITY L EH1 - V IH0 - T IY0 +LEVITZ L EH1 - V IH0 T S +LEVY L EH1 - V IY0 +LEVY'S L EH1 - V IY0 Z +LEVY'S(2) L IY1 - V IY0 Z +LEVY(2) L IY1 - V IY0 +LEVYING L EH1 - V IY0 - IH0 NG +LEW L UW1 +LEWALLEN L UW0 - AO1 - L AH0 N +LEWAN L UW1 - AH0 N +LEWANDA L AH0 W - AA1 N - D AH0 +LEWANDOSKI L UW0 - AH0 N - D AW1 S - K IY0 +LEWANDOWSKI L UW0 - AH0 N - D AO1 F S - K IY0 +LEWANNA L UW1 - IH0 - N AH0 +LEWD L UW1 D +LEWELLEN L UW2 - EH1 - L AH0 N +LEWELLING L UW2 - EH1 - L IH0 NG +LEWELLYN L UW2 - EH1 - L IH0 N +LEWENSKY L UW2 - EH1 N - S K IY0 +LEWENSKY'S L UW2 - EH1 N - S K IY0 Z +LEWERS L UW1 - ER0 Z +LEWEY L UW1 - IY0 +LEWICKI L UW0 - IH1 T S - K IY0 +LEWIN L UW1 - IH0 N +LEWING L UW1 - IH0 NG +LEWINS L UW1 - IH0 N Z +LEWINSKI L UW0 - IH1 N - S K IY0 +LEWINSKY L UW0 - IH1 N - S K IY0 +LEWINSOHN L UW1 - IH0 N - S AH0 N +LEWINTON L UW1 - IH0 N - T AH0 N +LEWIS L UW1 - IH0 S +LEWIS' L UW1 - IH0 S +LEWIS'S L UW1 - IH0 - S IH0 Z +LEWISBURG L UW1 - IH0 S - B ER0 G +LEWISTON L UW1 - AH0 - S T AH0 N +LEWKOWICZ L UW1 - K AH0 - V IH0 CH +LEWMAN L UW1 - M AH0 N +LEWTER L UW1 - T ER0 +LEWTON L UW1 - T AH0 N +LEWY L UW1 - IY0 +LEX L EH1 K S +LEXICAL L EH1 K - S IH0 - K AH0 L +LEXICOGRAPHER L EH2 K - S IH0 - K AA1 - G R AH0 - F ER0 +LEXICON L EH1 K - S IH0 - K AA2 N +LEXIE L EH1 K - S IY0 +LEXINE L EH1 K - S AY0 N +LEXINGTON L EH1 K - S IH0 NG - T AH0 N +LEXIS L EH1 K - S IH0 S +LEXMARK L EH1 K S - M AA2 R K +LEXUS L EH1 K - S AH0 S +LEXUS'S L EH1 K - S AH0 - S IH0 Z +LEY L EY1 +LEYA L EY1 - AH0 +LEYBA L EY1 - B AH0 +LEYDA L EY1 - D AH0 +LEYDEN L AY1 - D AH0 N +LEYENDECKER L AY1 N - D IH0 - K ER0 +LEYH L EY1 +LEYLAND L EY1 - L AH0 N D +LEYRER L EY1 - R ER0 +LEYS L EY1 Z +LEYSEN L EY1 - S AH0 N +LEYSEN'S L EY1 - S AH0 N Z +LEYVA L EY1 - V AH0 +LEZOTTE L IH0 - Z AO1 T +LHASA L AA1 - S AH0 +LHEUREUX L ER0 - OW1 +LHOMMEDIEU L OW2 - M EH0 - D Y UW1 +LI L IY1 +LI'S L IY1 Z +LI-KANG L IY1 - K AE1 NG +LIA L IY1 - AH0 +LIABILITIES L AY2 - AH0 - B IH1 - L AH0 - T IY0 Z +LIABILITIES(2) L AY2 - AH0 - B IH1 - L IH0 - T IY0 Z +LIABILITY L AY2 - AH0 - B IH1 - L IH0 - T IY0 +LIABLE L AY1 - AH0 - B AH0 L +LIACOS L AY0 - AA1 - K OW0 S +LIAISON L IY0 - EY1 - Z AA2 N +LIAISON(2) L EY1 - Z AA2 N +LIAISONS L IY0 - EY1 - S AA2 N Z +LIAM L IY1 - AH0 M +LIAM'S L IY1 - AH0 M Z +LIAN L Y AA1 N +LIANA L IY0 - AA1 - N AH0 +LIANE L IY0 - AE1 N +LIANG L Y AE1 NG +LIANG(2) L IY0 - AE1 NG +LIANNA L IY0 - AA1 - N AH0 +LIANNE L IY0 - AE1 N +LIAO L IY0 - AW1 +LIAR L AY1 - ER0 +LIARS L AY1 - ER0 Z +LIASON L AY1 - AH0 - S AH0 N +LIASON(2) L AY1 - S AH0 N +LIASSON L AY1 - AH0 - S AH0 N +LIB L IH1 B +LIBBED L IH1 B D +LIBBEY L IH1 - B IY0 +LIBBING L IH1 - B IH0 NG +LIBBY L IH1 - B IY0 +LIBEL L AY1 - B AH0 L +LIBELED L AY1 - B AH0 L D +LIBELOUS L AY1 - B AH0 - L AH0 S +LIBERACE L IH2 - B ER0 - AA1 - CH IY0 +LIBERAL L IH1 - B ER0 - AH0 L +LIBERAL(2) L IH1 - B R AH0 L +LIBERALISM L IH1 - B ER0 - AH0 - L IH2 - Z AH0 M +LIBERALISM'S L IH1 - B ER0 - R AH0 - L IH2 - Z AH0 M Z +LIBERALISM'S L IH1 - B R AH0 - L IH2 - Z AH0 M Z +LIBERALISM(2) L IH1 - B R AH0 - L IH2 - Z AH0 M +LIBERALITY L IH2 - B ER0 - AE1 - L AH0 - T IY0 +LIBERALIZATION L IH2 - B R AH0 - L IH0 - Z EY1 - SH AH0 N +LIBERALIZATION(2) L IH2 - B R AH0 - L IH0 - Z EY1 - SH AH0 N +LIBERALIZATIONS L IH0 - B ER0 - AH0 - L IH0 - Z EY1 - SH AH0 N Z +LIBERALIZATIONS(2) L IH0 - B R AH0 - L IH0 - Z EY1 - SH AH0 N Z +LIBERALIZE L IH1 - B ER0 - AH0 - L AY2 Z +LIBERALIZE(2) L IH1 - B R AH0 - L AY2 Z +LIBERALIZED L IH1 - B ER0 - AH0 - L AY2 Z D +LIBERALIZED(2) L IH1 - B R AH0 - L AY2 Z D +LIBERALIZING L IH1 - B ER0 - AH0 - L AY2 - Z IH0 NG +LIBERALIZING(2) L IH1 - B R AH0 - L AY2 - Z IH0 NG +LIBERALLY L IH1 - B ER0 - AH0 - L IY0 +LIBERALLY(2) L IH1 - B R AH0 - L IY0 +LIBERALS L IH1 - B ER0 - AH0 L Z +LIBERALS' L IH1 - B ER0 - AH0 L Z +LIBERALS'(2) L IH1 - B R AH0 L Z +LIBERALS(2) L IH1 - B R AH0 L Z +LIBERATE L IH1 - 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M AH0 N +LINDFORS L IH1 N D - F ER0 Z +LINDGREN L IH1 N D - G R EH0 N +LINDH L IH1 N D +LINDHOLM L IH1 N D - HH OW2 L M +LINDHORST L IH1 N D - HH AO0 R S T +LINDIG L IH1 N - D IH0 G +LINDLER L IH1 N D - L ER0 +LINDLEY L IH1 N D - L IY0 +LINDMAN L IH1 N D - M AH0 N +LINDMARK L IH1 N D - M AA2 R K +LINDNER L IH1 N D - N ER0 +LINDNER'S L IH1 N D - N ER0 Z +LINDO L IH1 N - D OW0 +LINDON L IH1 N - D AH0 N +LINDOW L IH1 N - D OW0 +LINDQUIST L IH1 N D - K W IH2 S T +LINDROTH L IH1 N - D R AO2 TH +LINDSAY L IH1 N D - Z IY0 +LINDSETH L IH1 N D - S IH0 TH +LINDSEY L IH1 N D - Z IY0 +LINDSEY'S L IH1 N D - Z IY0 Z +LINDSKOG L IH1 N D - S K AH0 G +LINDSLEY L IH1 N D S - L IY0 +LINDSTEDT L IH1 N D - S T IH0 T +LINDSTRAND L IH1 N D - S T R AH0 N D +LINDSTROM L IH1 N D - S T R AH0 M +LINDVALL L IH1 N D - V AH0 L +LINDY L IH1 N - D IY0 +LINE L AY1 N +LINE'S L AY1 N Z +LINEAGE L IH1 - N IY0 - AH0 JH +LINEAGES L IH1 - N IY0 - IH0 - JH IH0 Z +LINEAL L IH1 - N IY0 - AH0 L +LINEAR L IH1 - N IY0 - ER0 +LINEAR'S L IH1 - N IY0 - ER0 Z +LINEARLY L IH1 - N IY0 - ER0 - L IY0 +LINEBACK L AY1 N - B AE2 K +LINEBACKER L AY1 N - B AE2 - K ER0 +LINEBACKERS L AY1 N - B AE2 - K ER0 Z +LINEBARGER L IH1 - N IH0 - B AA0 R - G ER0 +LINEBARGER(2) L AY1 N - B AA0 R - G ER0 +LINEBAUGH L IH1 - N IH0 - B AO0 +LINEBERGER L AY1 N - B ER0 - G ER0 +LINEBERRY L AY1 N - B EH2 - R IY0 +LINED L AY1 N D +LINEHAN L IH1 - N IH0 - HH AE0 N +LINEMAN L AY1 N - M AH0 N +LINEMEN L AY1 N - M AH0 N +LINEN L IH1 - N AH0 N +LINENBERGER L IH1 - N AH0 N - B ER0 - G ER0 +LINENS L IH1 - N AH0 N Z +LINER L AY1 - N ER0 +LINER'S L AY1 - N ER0 Z +LINERBOARD L AY1 - N ER0 - B AO2 R D +LINERS L AY1 - N ER0 Z +LINERS' L AY1 - N ER0 Z +LINES L AY1 N Z +LINES' L AY1 N Z +LINETTE L IH0 - N EH1 T +LINEUP L AY1 N - AH2 P +LINEUPS L AY1 N - AH2 P S +LINEWEAVER L AY1 N - W IY2 - V ER0 +LINFORD L IH1 N - F ER0 D +LING L IH1 NG +LINGAFELTER L IH1 NG - G AH0 - F IH0 L - T ER0 +LINGARD L IH1 NG - G ER0 D +LINGELBACH L IH1 NG - G IH0 L - B AA0 K +LINGENFELTER L IH1 NG - G IH0 N - F IH0 L - T ER0 +LINGER L IH1 NG - G ER0 +LINGER(2) L IH1 - NG ER0 +LINGERED L IH1 NG - G ER0 D +LINGERFELT L IH1 NG - G ER0 - F EH2 L T +LINGERIE L AA1 N - ZH ER0 - EY2 +LINGERING L IH1 NG - G ER0 - IH0 NG +LINGERING(2) L IH1 NG - G R IH0 NG +LINGERS L IH1 NG - G ER0 Z +LINGG L IH1 NG G +LINGLE L IH1 NG - G AH0 L +LINGNER L IH1 NG - N ER0 +LINGO L IH1 NG - G OW0 +LINGUA L IH1 NG - G W AH0 +LINGUINE L IH0 NG - G W IY1 - N IY0 +LINGUIST L IH1 NG - G W IH0 S T +LINGUISTIC L IH0 NG - G W IH1 - S T IH0 K +LINGUISTICALLY L IH0 NG - G W IH1 - S T IH0 K - L IY0 +LINGUISTICS L IH0 NG - G W IH1 - S T IH0 K S +LINGUISTS L IH1 NG - G W IH0 S T S +LINGUISTS(2) L IH1 NG - G W IH0 S S +LINGUISTS(3) L IH1 NG - G W IH0 S +LINGUS L IH1 NG - G AH0 S +LINH L IH1 N +LINHARDT L IH1 N - HH AA2 R T +LINHARES L IH1 N - HH ER0 Z +LINHART L IH1 N - HH AA2 R T +LINI L IY1 - N IY0 +LINING L AY1 - N IH0 NG +LININGER L AY1 - N IH0 - NG ER0 +LININGS L AY1 - N IH0 NG Z +LINK L IH1 NG K +LINK'S L IH1 NG K S +LINKAGE L IH1 NG - K AH0 JH +LINKAGE(2) L IH1 NG - K IH0 JH +LINKAGES L IH1 NG - K IH0 - JH IH0 Z +LINKE L IH1 NG K +LINKED L IH1 NG K T +LINKENHOKER L IH1 NG - K IH0 N - HH AH0 - K ER0 +LINKER L IH1 NG - K ER0 +LINKING L IH1 NG - K IH0 NG +LINKLETTER L IH1 NG - K L EH2 - T ER0 +LINKOUS L IH1 NG - K AH0 S +LINKS L IH1 NG K S +LINKUP L IH1 NG K - AH2 P +LINKUPS L IH1 NG K - AH2 P S +LINLEY L IH1 N - L IY0 +LINN L IH1 N +LINNANE L IH1 - N AH0 N +LINNAS L IH1 - N AH0 S +LINNE L IH1 N +LINNEA L IH1 - N IY0 - AH0 +LINNEHAN L IH1 - N IH0 - HH AE0 N +LINNELL L IH1 - N AH0 L +LINNEMAN L IH1 N - M AH0 N +LINNEMANN L IH1 N - M AH0 N +LINNET L IH1 - N IH0 T +LINNEY L IH1 - N IY0 +LINNIK L IH1 - N IH0 K +LINO L IY1 - N OW0 +LINOLEUM L AH0 - N OW1 - L IY0 - AH0 M +LINOTYPE L IH1 - N OW0 - T AY2 P +LINOWES L IH1 - N OW0 Z +LINQUIST L IH1 N - K W IH0 S T +LINS L IH1 N Z +LINSAY L IH1 N - S EY0 +LINSCOMB L IH1 N - S K AH0 M +LINSCOTT L IH1 N - S K AH0 T +LINSE L IH1 N S +LINSEED L IH1 N - S IY2 D +LINSEY L IH1 N - Z IY0 +LINSEY-WOOLSEY L IH1 N - Z IY0 - W UH1 L - Z IY0 +LINSKEY L IH1 N - S K IY0 +LINSKY L IH1 N - S K IY0 +LINSLEY L IH1 N S - L IY0 +LINSON L IH1 N - S AH0 N +LINSTROM L IH1 N - S T R AH0 M +LINT L IH1 N T +LINTAS L IH1 N - T AH0 S +LINTEL L IH1 N - T AH0 L +LINTERS L IH1 N - T ER0 Z +LINTHICUM L IH1 N - TH IH0 - K AH0 M +LINTNER L IH1 N T - N ER0 +LINTON L IH1 N - T AH0 N +LINTZ L IH1 N T S +LINUS L AY1 - N AH0 S +LINVILLE L IY1 N - V IH0 L +LINWICK L IH1 N - W IH2 K +LINWOOD L IH1 N - W UH2 D +LINZ L IH1 N Z +LINZER L IH1 N - Z ER0 +LINZEY L IH1 N - Z IY0 +LINZY L IH1 N - Z IY0 +LIOMINE L IY1 - AH0 - M AY0 N +LION L AY1 - AH0 N +LION'S L AY1 - AH0 N Z +LIONBERGER L AY1 - AH0 N - B ER0 - G ER0 +LIONEL L AY1 - AH0 - N AH0 L +LIONETTI L IY0 - AH0 - N EH1 - T IY0 +LIONETTI(2) L AY0 - AH0 - N EH1 - T IY0 +LIONHEART L AY1 - AH0 N - HH AA2 R T +LIONIZE L AY1 - AH0 - N AY2 Z +LIONIZED L AY1 - AH0 - N AY2 Z D +LIONS L AY1 - AH0 N Z +LIOTIER L IY0 - OW1 - T IY0 - EY2 +LIOTIER(2) L IY0 - OW1 - T IY0 - ER0 +LIOTTA L IY0 - OW1 - T AH0 +LIOU L IY0 - UW1 +LIP L IH1 P +LIPA L IY1 - P AH0 +LIPARI L IY0 - P AA1 - R IY0 +LIPE L AY1 P +LIPFORD L IH1 P - F ER0 D +LIPHAM L IH1 - F AH0 M +LIPID L AY1 - P AH0 D +LIPIDE L IH0 - P IY1 D +LIPINSKI L IH0 - P IH1 N - S K IY0 +LIPKA L IH1 P - K AH0 +LIPKE L IH1 P K +LIPKIN L IH1 P - K IH0 N +LIPKIND L IH1 P - K IH0 N D +LIPKIND(2) L IH1 P - K AY0 N D +LIPMAN L IH1 P - M AH0 N +LIPNICK L IH1 P - N IH2 K +LIPOPROTEIN L IH2 - P AH0 - P R OW1 - T IY0 N +LIPOPROTEINS L IH2 - P OW0 - P R OW1 - T IY0 N Z +LIPOSOME L IH1 - P AH0 - S OW2 M +LIPOSOMES L IH1 - P AH0 - S OW2 M Z +LIPOSUCTION L IH1 - P OW0 - S AH2 K - SH AH0 N +LIPOSUCTION(2) L AY1 - P OW0 - S AH2 K - SH AH0 N +LIPOVSKY L IH0 - P AA1 V S - K IY0 +LIPP L IH1 P +LIPPA L IH1 - P AH0 +LIPPARD L IH1 - P ER0 D +LIPPE L IH1 P +LIPPED L IH1 P T +LIPPENS L IH1 - P AH0 N Z +LIPPER L IH1 - P ER0 +LIPPER'S L IH1 - P ER0 Z +LIPPERT L IH1 - P ER0 T +LIPPI L IH1 - P IY0 +LIPPINCOTT L IH1 - P IH0 N - K AH0 T +LIPPITT L IH1 - P IH0 T +LIPPMAN L IH1 P - M AH0 N +LIPPMANN L IH1 P - M AH0 N +LIPPO L IH1 - P OW0 +LIPPOLD L IH1 - P OW2 L D +LIPPS L IH1 P S +LIPPY L IH1 - P IY0 +LIPS L IH1 P S +LIPS' L IH1 P S +LIPSCHITZ L IH1 P - SH IH0 T S +LIPSCHULTZ L IH1 P - SH AH0 L T S +LIPSCHUTZ L IH1 P - SH AH0 T S +LIPSCOMB L IH1 P - S K AH0 M +LIPSETT L IH1 P - S IH0 T +LIPSEY L IH1 P - S IY0 +LIPSHIE L IH1 P - SH IY0 +LIPSHUTZ L IH1 P - SH AH0 T S +LIPSIG L IH1 P - S IH0 G +LIPSITZ L IH1 P - S IH0 T S +LIPSKI L IH1 P S - K IY2 +LIPSKY L IH1 P - S K AY2 +LIPSON L IH1 P - S AH0 N +LIPSTEIN L IH1 P - S T IY2 N +LIPSTEIN(2) L IH1 P - S T AY2 N +LIPSTICK L IH1 P - S T IH2 K +LIPSTICKS L IH1 P - S T IH2 K S +LIPTAK L IH1 P - T AH0 K +LIPTON L IH1 P - T AH0 N +LIPTON'S L IH1 P - T AH0 N Z +LIPUMA L IY0 - P UW1 - M AH0 +LIQUEFACTION L IH2 - K W AH0 - F AE1 K - SH AH0 N +LIQUEFIED L IH1 - K W AH0 - F AY2 D +LIQUEFY L IH1 - K W AH0 - F AY2 +LIQUEUR L IH0 - K ER1 +LIQUEURS L IH0 - K ER1 Z +LIQUID L IH1 - K W AH0 D +LIQUID(2) L IH1 - K W IH0 D +LIQUIDATE L IH1 - K W IH0 - D EY2 T +LIQUIDATED L IH1 - K W IH0 - D EY2 - T IH0 D +LIQUIDATES L IH1 - K W IH0 - D EY2 T S +LIQUIDATING L IH1 - K W IH0 - D EY2 - T IH0 NG +LIQUIDATION L IH2 - K W IH0 - D EY1 - SH AH0 N +LIQUIDATIONS L IH2 - K W IH0 - D EY1 - SH AH0 N Z +LIQUIDATOR L IH1 - K W IH0 - D EY2 - T ER0 +LIQUIDATORS L IH1 - K W IH0 - D EY2 - T ER0 Z +LIQUIDE L IH0 - K W AY1 D +LIQUIDITIES L IH0 - K W IH1 - D AH0 - T IY0 Z +LIQUIDITY L IH0 - K W IH1 - D AH0 - T IY0 +LIQUIDITY(2) L IH0 - K W IH1 - D IH0 - T IY0 +LIQUIDS L IH1 - K W AH0 D Z +LIQUIDS(2) L IH1 - K W IH0 D Z +LIQUN L IH0 - K UW1 N +LIQUOR L IH1 - K ER0 +LIQUORI L IY0 - K AO1 - R IY0 +LIQUORS L IH1 - K ER0 Z +LIRA L IH1 - R AH0 +LIRA'S L IH1 - R AH0 Z +LIRE L IH1 - R AH0 +LIRETTE L ER0 - EH1 T +LIRO L IH1 - R OW0 +LIROFF L IH1 - R AO0 F +LIS L IH1 S +LISA L IY1 - S AH0 +LISA'S L IY1 - S AH0 Z +LISABET L IH1 - S AH0 - B EH0 T +LISABETH L IH1 - S AH0 - B EH0 TH +LISAK L IH1 - S AH0 K +LISANTI L IH0 - S AE1 N - T IY0 +LISBETH L IH1 S - B IH0 TH +LISBON L IH1 Z - B AH0 N +LISBY L IH1 S - B IY0 +LISCO L IH1 - S K OW0 +LISCOM L IH1 S - K AH0 M +LISE L AY1 Z +LISEC L IH1 - Z AH0 K +LISENBEE L IH0 - S EH1 N - B IY0 +LISENBEE(2) L IH1 - S AH0 N - B IY0 +LISENBY L IH1 - S IH0 N - B IY0 +LISETTE L IH0 - S EH1 T +LISH L IH1 SH +LISHMAN L IH1 SH - M AH0 N +LISI L IY1 - S IY0 +LISIECKI L IH0 - S IY1 T S - K IY0 +LISK L IH1 S K +LISKA L IH1 - S K AH0 +LISKE L IH1 S K +LISKEY L IH1 S - K IY0 +LISKO L IH1 - S K OW0 +LISLE L AY1 - AH0 L +LISMAN L IH1 Z - M AH0 N +LISOWSKI L IH0 - S AO1 F S - K IY0 +LISP L IH1 S P +LISS L IH1 S +LISSA L IH1 - S AH0 +LISSACK L IH1 - S AH0 K +LISSIE L IH1 - S IY0 +LISSNER L IH1 S - N ER0 +LISSY L IH1 - S IY0 +LIST L IH1 S T +LIST'S L IH1 S T S +LISTED L IH1 - S T AH0 D +LISTED(2) L IH1 - S T IH0 D +LISTEN L IH1 - S AH0 N +LISTENED L IH1 - S AH0 N D +LISTENER L IH1 - S AH0 N - ER0 +LISTENER(2) L IH1 S - N ER0 +LISTENERS L IH1 - S AH0 N - ER0 Z +LISTENERS(2) L IH1 S - N ER0 Z +LISTENING L IH1 - S AH0 N - IH0 NG +LISTENING(2) L IH1 S - N IH0 NG +LISTENS L IH1 - S AH0 N Z +LISTER L IH1 - S T ER0 +LISTERIA L IH0 - S T IH1 - R IY0 - AH0 +LISTERINE L IH1 - S T ER0 - IY2 N +LISTERINES L IH1 - S T ER0 - IY2 N Z +LISTING L IH1 - S T IH0 NG +LISTINGS L IH1 - S T IH0 NG Z +LISTLESS L IH1 S T - L AH0 S +LISTLESSLY L IH1 S T - L AH0 S - L IY0 +LISTON L IH1 - S T AH0 N +LISTS L IH1 S T S +LISTS(2) L IH1 S S +LISTS(3) L IH1 S +LISZEWSKI L IH0 - SH EH1 F S - K IY0 +LISZKA L IH1 SH - K AH0 +LISZT L IH1 S T +LIT L IH1 T +LITA L IY1 - T AH0 +LITAKER L IH1 - T EY0 - K ER0 +LITALIEN L IH1 - T AH0 - L IY0 N +LITAN L AY1 - T AH0 N +LITANIES L IH1 - T AH0 - N IY0 Z +LITANY L IH1 - T AH0 - N IY0 +LITARO L IH0 - T AA1 - R OW0 +LITCHFIELD L IH1 CH - F IY0 L D +LITCHFIELD'S L IH1 CH - F IY0 L D Z +LITCHFORD L IH1 CH - F ER0 D +LITCHFORD'S L IH1 CH - F ER0 D Z +LITCO L IH1 T - K OW2 +LITCO'S L IH1 T - K OW2 Z +LITE L AY1 T +LITEM L AY1 - T EH0 M +LITEM(2) L IY1 - T EH0 M +LITER L IY1 - T ER0 +LITERACY L IH1 - T ER0 - AH0 - S IY0 +LITERAL L IH1 - T ER0 - AH0 L +LITERALLY L IH1 - T ER0 - AH0 - L IY0 +LITERALLY(2) L IH1 - T R AH0 - L IY0 +LITERARY L IH1 - T ER0 - EH2 - R IY0 +LITERATE L IH1 - T ER0 - AH0 T +LITERATI L IH2 - T ER0 - AA1 - T IY0 +LITERATURE L IH1 - T ER0 - AH0 - CH ER0 +LITERATURNAYA L IH0 - T EH2 - R AH0 - T ER0 - N AY1 - AH0 +LITERS L IY1 - T ER0 Z +LITES L AY1 T S +LITHE L AY1 DH +LITHERLAND L IH1 - TH ER0 - L AH0 N D +LITHGOW L IH1 TH - G AW0 +LITHIC L IH1 - TH IH0 K +LITHIUM L IH1 - TH IY0 - AH0 M +LITHOGRAPH L IH1 - TH AH0 - G R AE2 F +LITHOGRAPHIC L IH2 - TH AH0 - G R AE1 - F IH0 K +LITHOGRAPHS L IH1 - TH AH0 - G R AE2 F S +LITHOGRAPHY L AH0 - TH AA1 - G R AH0 - F IY0 +LITHOTRIPTER L IH1 - TH AH0 - T R IH2 P - T ER0 +LITHUANIA L IH2 - TH AH0 - W EY1 - N IY0 - AH0 +LITHUANIA'S L IH2 - TH AH0 - W EY1 - N IY0 - AH0 Z +LITHUANIAN L IH2 - TH AH0 - W EY1 - N IY0 - AH0 N +LITHUANIANS L IH2 - TH AH0 - W EY1 - N IY0 - AH0 N Z +LITIGANT L IH1 - T IH0 - G AH0 N T +LITIGANTS L IH1 - T IH0 - G AH0 N T S +LITIGATE L IH1 - T IH0 - G EY2 T +LITIGATED L IH1 - T IH0 - G EY2 - T IH0 D +LITIGATING L IH1 - T IH0 - G EY2 - T IH0 NG +LITIGATION L IH2 - T AH0 - G EY1 - SH AH0 N +LITIGATIONS L IH2 - T AH0 - G EY1 - SH AH0 N Z +LITIGATOR L IH1 - T AH0 - G EY2 - T ER0 +LITIGATORS L IH1 - T AH0 - G EY2 - T ER0 Z +LITIGIOUS L IH0 - T IH1 - JH AH0 S +LITIGIOUS(2) L IH1 - T IH0 - JH AH0 S +LITKE L IH1 T - K IY0 +LITLE L AY1 - T AH0 L +LITMAN L IH1 T - M AH0 N +LITMUS L IH1 T - M AH0 S +LITS L IH1 T S +LITSEY L IH1 T - S IY0 +LITT L IH1 T +LITTEKEN L IH1 - T IH0 - K AH0 N +LITTELL L IH1 - T AH0 L +LITTEN L IH1 - T AH0 N +LITTER L IH1 - T ER0 +LITTERAL L IH1 - T ER0 - AH0 L +LITTERED L IH1 - T ER0 D +LITTERING L IH1 - T ER0 - IH0 NG +LITTERS L IH1 - T ER0 Z +LITTIG L IH1 - T IH0 G +LITTLE L IH1 - T AH0 L +LITTLE'S L IH1 - T AH0 L Z +LITTLEBOY L IH1 - T AH0 L - B OY2 +LITTLECHILD L IH1 - T AH0 L - CH AY2 L D +LITTLEFIELD L IH1 - T AH0 L - F IY2 L D +LITTLEFORD L IH1 - T AH0 L - F ER0 D +LITTLEJOHN L IH1 - T AH0 L - JH AA2 N +LITTLEPAGE L IH1 - T AH0 L - P EY2 JH +LITTLER L IH1 - T AH0 L - ER0 +LITTLER(2) L IH1 T - L ER0 +LITTLES L IH1 - T AH0 L Z +LITTLEST L IH1 - T AH0 L - AH0 S T +LITTLETON L IH1 - T AH0 L - T AH0 N +LITTLEWOOD L IH1 - T AH0 L - W UH2 D +LITTMAN L IH1 T - M AH0 N +LITTMANN L IH1 T - M AH0 N +LITTON L IH1 - T AH0 N +LITTON'S L IH1 - T AH0 N Z +LITTORAL L IH1 - T ER0 - AH0 L +LITTRELL L IH1 - T R AH0 L +LITTS L IH1 T S +LITTY L IH1 - T IY0 +LITURGICAL L AH0 - T ER1 - JH IH0 - K AH0 L +LITURGY L IH1 - T ER0 - JH IY0 +LITVACK L IH1 T - V AE0 K +LITVAK L IH1 T - V AH0 K +LITVIN L IH1 T - V IH0 N +LITWACK L IH1 T - W AO0 K +LITWAK L IH1 T - W AH0 K +LITWILLER L IH0 T - W IH1 - L ER0 +LITWIN L IH1 T - W IH0 N +LITZ L IH1 T S +LITZENBERG L IH1 T - Z AH0 N - B ER0 G +LITZENBERGER L IH1 T - Z AH0 N - B ER0 - G ER0 +LITZINGER L IH1 T - Z IH0 - NG ER0 +LIU L Y UW1 +LIUZZA L IY0 - UW1 T - S AH0 +LIUZZI L IY0 - UW1 T - S IY0 +LIV L IH1 V +LIVABLE L IH1 - V AH0 - B AH0 L +LIVE L AY1 V +LIVE(2) L IH1 V +LIVED L AY1 V D +LIVED(2) L IH1 V D +LIVELIER L AY1 V - L IY0 - ER0 +LIVELIEST L AY1 V - L IY2 - AH0 S T +LIVELIHOOD L AY1 V - L IY0 - HH UH2 D +LIVELIHOODS L AY1 V - L IY0 - HH UH2 D Z +LIVELINESS L AY1 V - L IY0 - N AH0 S +LIVELY L AY1 V - L IY0 +LIVEN L AY1 - V AH0 N +LIVENED L AY1 - V AH0 N D +LIVENGOOD L IH1 - V IH0 N - G UH0 D +LIVER L IH1 - V ER0 +LIVERGOOD L IH1 - V ER0 - G UH2 D +LIVERIED L IH1 - V R IY0 D +LIVERMAN L IH1 - V ER0 - M AH0 N +LIVERMORE L IH0 - V ER0 - M AO1 R +LIVERNOIS L IH1 - V ER0 N - W AA2 +LIVERPOOL L IH1 - V ER0 - P UW2 L +LIVERS L IH1 - V ER0 Z +LIVERWORT L IH1 - V ER0 - W ER0 T +LIVERWORTS L IH1 - V ER0 - W ER0 T S +LIVERY L IH1 - V ER0 - IY0 +LIVES L IH1 V Z +LIVES' L AY1 V Z +LIVES(2) L AY1 V Z +LIVESAY L IH1 - V IH0 - S EY0 +LIVESEY L IH1 - V IH0 - S IY0 +LIVESTOCK L AY1 V - S T AA2 K +LIVEZEY L IH1 - V IH0 - Z IY0 +LIVIA L IH1 - V IY0 - AH0 +LIVID L IH1 - V IH0 D +LIVIDITY L IH0 - V IH1 - D IH0 - T IY0 +LIVIN' L IH1 - V IH0 N +LIVING L IH1 - V IH0 NG +LIVINGOOD L IH1 - V IH0 N - G UH2 D +LIVINGROOM L IH1 - 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K ER0 +LOCHHEAD L AA1 K - HH EH2 D +LOCHNER L AA1 K - N ER0 +LOCHRIDGE L AA1 - K R IH0 JH +LOCI L OW1 - K IY0 +LOCI(2) L OW1 - K AY0 +LOCICERO L OW0 - CH IY0 - CH EH1 - R OW0 +LOCK L AA1 K +LOCKA L AA1 - K AH0 +LOCKABY L AA1 - K AH0 - B IY0 +LOCKAMY L AA1 - K AH0 - M IY0 +LOCKARD L AA1 - K ER0 D +LOCKART L AA1 - K AA2 R T +LOCKDOWN L AA1 K - D AW2 N +LOCKE L AA1 K +LOCKE-OBER L AA2 - K OW1 - B ER0 +LOCKED L AA1 K T +LOCKEN L AA1 - K AH0 N +LOCKER L AA1 - K ER0 +LOCKERBIE L AA1 - K ER0 - B IY0 +LOCKERBY L AA1 - K ER0 - B IY0 +LOCKERMAN L AA1 - K ER0 - M AH0 N +LOCKERS L AA1 - K ER0 Z +LOCKERT L AA1 - K ER0 T +LOCKETT L AA1 - K IH0 T +LOCKETT'S L AA1 - K AH0 T S +LOCKEY L AA1 - K IY0 +LOCKHART L AA1 K - HH AA2 R T +LOCKHEED L AA1 K - HH IY2 D +LOCKHEED'S L AA1 K - HH IY2 D Z +LOCKIE L AA1 - K IY0 +LOCKING L AA1 - K IH0 NG +LOCKLAIR L AA1 K - L ER0 +LOCKLAR L AA1 K - L ER0 +LOCKLEAR L AA1 K - L ER0 +LOCKLEY L AA1 K - L IY0 +LOCKLIN L AA1 K - L IH0 N +LOCKMAN L AA1 K - M AH0 N +LOCKMILLER L AA1 K - 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L AE2 N D Z +LOWLY L OW1 - L IY0 +LOWMAN L OW1 - M AH0 N +LOWN L AW1 N +LOWNDES L OW1 N - D IY0 Z +LOWNDES(2) L OW1 N D Z +LOWNEY L OW1 - N IY0 +LOWRANCE L AO1 - R AH0 N S +LOWREY L AW1 - R IY0 +LOWRIE L AO1 - R IY0 +LOWRIMORE L AO1 - R IY0 - M AO0 R +LOWRY L AW1 - R IY0 +LOWS L OW1 Z +LOWTHER L OW1 - DH ER0 +LOWY L OW1 - IY0 +LOX L AA1 K S +LOX(2) L AH1 K S +LOY L OY1 +LOYA L OY1 - AH0 +LOYAL L OY1 - AH0 L +LOYALIST L OY1 - AH0 - L IH0 S T +LOYALISTS L OY1 - AH0 - L IH0 S T S +LOYALISTS(2) L OY1 - AH0 - L IH0 S S +LOYALISTS(3) L OY1 - AH0 - L IH0 S +LOYALL L OY1 - AH0 L +LOYALLY L OY1 - AH0 - L IY0 +LOYALTIES L OY1 - AH0 L - T IY0 Z +LOYALTON L OY1 - AH0 L - T IH0 N +LOYALTY L OY1 - AH0 L - T IY0 +LOYCE L OY1 S +LOYD L OY1 D +LOYE L OY1 +LOYER L OY1 - ER0 +LOYND L OY1 N D +LOYOLA L OY2 - OW1 - L AH0 +LOZA L OW1 - Z AH0 +LOZADA L OW0 - Z AA1 - D AH0 +LOZANO L OW0 - Z AA1 - N OW0 +LOZANO'S L OW0 - Z AA1 - N OW0 Z +LOZEAU L AH0 - Z OW1 +LOZENGE L AO1 - Z AH0 N JH +LOZENGES L AO1 - Z AH0 N - 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B AH0 K +LUBE L UW1 B +LUBE'S L UW1 B Z +LUBECK L UW1 - B EH2 K +LUBELL L UW1 - B EH0 L +LUBENSKY L UW0 - B EH1 N - S K IY0 +LUBER L UW1 - B ER0 +LUBICONS L UW1 - B IH0 - K AA2 N Z +LUBIN L UW1 - B IH0 N +LUBINSKI L AH0 - B IH1 N - S K IY0 +LUBINSKY L AH0 - B IH1 N - S K IY0 +LUBITZ L UW1 - B IH0 T S +LUBKE L AH1 B K +LUBLIN L AH1 - B L IH0 N +LUBOW L UW1 - B OW0 +LUBOWSKI L UW0 - B AW1 S - K IY0 +LUBRANO L UW0 - B R AA1 - N OW0 +LUBRICANT L UW1 - B R AH0 - K AH0 N T +LUBRICANTS L UW1 - B R AH0 - K AH0 N T S +LUBRICANTS(2) L UW1 - B R IH0 - K AH0 N T S +LUBRICANTS(3) L UW1 - B R AH0 - K AH0 N S +LUBRICANTS(4) L UW1 - B R IH0 - K AH0 N S +LUBRICATE L UW1 - B R IH0 - K EY2 T +LUBRICATED L UW1 - B R AH0 - K EY2 - T IH0 D +LUBRICATING L UW1 - B R AH0 - K EY2 - T IH0 NG +LUBRICATION L UW2 - B R IH0 - K EY1 - SH AH0 N +LUBRIZOL L UW1 - B R IH0 - Z AA0 L +LUBY L UW1 - B IY0 +LUC L UW1 K +LUCA L UW1 - K AH0 +LUCADO L UW0 - K AA1 - D OW0 +LUCARELLI L UW0 - K AA0 - R EH1 - L IY0 +LUCAS L UW1 - K AH0 S +LUCAS' L UW1 - K AH0 S +LUCAS'S L UW1 - K AH0 - S IH0 Z +LUCASFILM L UW0 - K AE1 S - F IH0 L M +LUCASFILM(2) L UW1 - K AH0 S - F IH0 L M +LUCASVILLE L UW1 - K AH0 S - V IH2 L +LUCCA L UW1 - K AH0 +LUCCHESE L UW0 - K EY1 - Z IY0 +LUCCHESI L UW0 - K EH1 - S IY0 +LUCCHETTI L UW0 - K EH1 - T IY0 +LUCCI L UW1 - CH IY0 +LUCCO L UW1 - K OW0 +LUCE L UW1 S +LUCE'S L UW1 - S IH0 Z +LUCENT L UW1 - S IH0 N T +LUCENTE L UW0 - CH EH1 N - T IY0 +LUCERNE L UW1 - S ER0 N +LUCERO L UW0 - CH EH1 - R OW0 +LUCETTE L UW1 - S EH1 T +LUCEY L UW1 - S IY0 +LUCHINI L UW0 - K IY1 - N IY0 +LUCHSINGER L AH1 K - S IH0 N - JH ER0 +LUCHT L AH1 K T +LUCIA L UW1 - SH AH0 +LUCIAN L UW1 - SH AH0 N +LUCIANI L UW1 - CH AH0 - N IY0 +LUCIANNA L UW1 - CH AH0 - N AH0 +LUCIANO L UW0 - CH IY0 - AA1 - N OW0 +LUCICH L AH1 - CH IH0 HH +LUCID L UW1 - S AH0 D +LUCIDA L UW0 - CH IY1 - D AH0 +LUCIDO L UW0 - CH IY1 - D OW0 +LUCIE L UW1 - S IY0 +LUCIEN L UW1 - S IY0 - AH0 N +LUCIENNE L UW0 - CH IY1 - EH0 N +LUCIER L UW1 - S IY0 - ER0 +LUCIFER L UW1 - S AH0 - F ER0 +LUCILE L UW0 - S IY1 L +LUCILLE L UW0 - S IY1 L +LUCINDA L UW0 - S IH1 N - D AH0 +LUCIO L UW1 - S IY0 - OW0 +LUCITE L UW1 - S AY2 T +LUCIUS L UW1 - SH AH0 S +LUCIW L UW1 - S IH0 +LUCK L AH1 K +LUCKE L AH1 K +LUCKEN L AH1 - K AH0 N +LUCKENBACH L AH1 - K IH0 N - B AA0 K +LUCKENBAUGH L AH0 - K EH1 N - B AO0 +LUCKENBILL L AH1 - K IH0 N - B AH0 L +LUCKER L AH1 - K ER0 +LUCKETT L AH1 - K IH0 T +LUCKEY L AH1 - K IY0 +LUCKHARDT L AH1 K - HH AA2 R T +LUCKIE L AH1 - K IY0 +LUCKIER L AH1 - K IY0 - ER0 +LUCKIEST L AH1 - K IY0 - AH0 S T +LUCKILY L AH1 - K AH0 - L IY0 +LUCKING L AH1 - K IH0 NG +LUCKLESS L AH1 K - L AH0 S +LUCKMAN L AH1 K - M AH0 N +LUCKOW L AH1 - S K OW0 +LUCKS L AH1 K S +LUCKY L AH1 - K IY0 +LUCKY'S L AH1 - K IY0 Z +LUCKYN L AH1 - K IH0 N +LUCRATIVE L UW1 - K R AH0 - T IH0 V +LUCRECIA L UW0 - K R IY1 - SH AH0 +LUCRETIA L UW0 - K R IY1 - SH AH0 +LUCUS L UW1 - K AH0 S +LUCY L UW1 - S IY0 +LUCZAK L AH1 - CH AE0 K +LUDCKE L AH1 D - K IY0 +LUDDEN L AH1 - D AH0 N +LUDDITE L AH1 - D AY2 T +LUDDITES L AH1 - D AY2 T S +LUDDY L AH1 - D IY0 +LUDEKE L AH1 - D IH0 K +LUDELLA L UW2 - D EH1 - L AH0 +LUDEMAN L UW1 D - M AH0 N +LUDEMANN L UW1 D - M AH0 N +LUDEWIG L AH1 - D UW0 - IH0 G +LUDICROUS L UW1 - D AH0 - K R AH0 S +LUDICROUSLY L UW1 - D AH0 - K R AH0 S - L IY0 +LUDINGTON L AH1 - D IH0 NG - T AH0 N +LUDITE L UW1 - D AY0 T +LUDITES L UW1 - D AY0 T S +LUDKE L AH1 D - K IY0 +LUDLAM L AH1 D - L AH0 M +LUDLAM'S L AH1 D - L AH0 M Z +LUDLOW L AH1 D - L OW2 +LUDLUM L AH1 D - L AH0 M +LUDLUM'S L AH1 D - L AH0 M Z +LUDMER L AH1 D - M ER0 +LUDMILA L AH0 D - M AY1 - L AH0 +LUDMILLA L AH0 D - M IH1 - L AH0 +LUDOLPH L AH1 - D OW0 L F +LUDTKE L AH1 D - K IY0 +LUDVIGSEN L AH1 D - V IH0 G - S AH0 N +LUDVIGSON L AH1 D - V IH0 G - S AH0 N +LUDVIK L AH1 D - V IH0 K +LUDWICK L AH1 D - W IH0 K +LUDWIG L AH1 D - W IH0 G +LUDWIGA L AH0 D - V AY1 - G AH0 +LUDWIGSHAFEN L AH0 D - W IH1 G - SH AH0 - F AH0 N +LUDWIN L AH1 D - W IH0 N +LUDY L UW1 - D IY0 +LUE L UW1 +LUEBBE L UW1 B +LUEBBERS L UH1 - B ER0 Z +LUEBBERT L UH1 - B ER0 T +LUEBKE L UW1 B K +LUECK L UW1 - IH0 K +LUECKE L UW1 K +LUEDECKE L UH1 - D IH0 K +LUEDER L UH1 - D ER0 +LUEDERS L UH1 - D ER0 Z +LUEDKE L UW1 D - K IY0 +LUEDTKE L UH1 D - K IY0 +LUEH L W EH1 +LUEHRING L UH1 - R IH0 NG +LUEHRS L UH1 R Z +LUEKEN L UH1 - K AH0 N +LUELLA L UW2 - EH1 - L AH0 +LUELLE L UW1 L +LUELLEN L UH1 - L AH0 N +LUEPKE L UW1 P - K IY0 +LUERA L UW0 - EH1 - R AH0 +LUERAS L UH1 - R AH0 Z +LUERAS(2) L UW0 - EH1 - R AH0 Z +LUERS L UW1 - ER0 Z +LUERSSEN L UW1 R - S AH0 N +LUETH L UW1 TH +LUETKEMEYER L UH1 T - K IH0 - M AY0 - ER0 +LUEVANO L UW0 - EH0 - V AA1 - N OW0 +LUFF L AH1 F +LUFFED L AH1 F T +LUFFMAN L AH1 F - M AH0 N +LUFKIN L AH1 F - K IH0 N +LUFT L AH1 F T +LUFTHANSA L AH0 F - T AE1 N - Z AH0 +LUFTHANSA'S L AH0 F - T AE1 N - Z AH0 Z +LUFTIG L AH1 F - T IH0 G +LUFTKIN L AH1 F T - K IH0 N +LUFTTRANSPORT L AH1 F - T R AE2 N Z - P AO2 R T +LUG L AH1 G +LUGANO L UW0 - G AA1 - N OW0 +LUGAR L UW1 - G ER0 +LUGAR'S L UW1 - G ER0 Z +LUGARDA L UW0 - G AA1 R - D AH0 +LUGE L UW1 JH +LUGER L UW1 - G ER0 +LUGERS L UW1 - G ER0 Z +LUGGAGE L AH1 - G AH0 JH +LUGGAGE(2) L AH1 - G IH0 JH +LUGGING L AH1 - G IH0 NG +LUGI L UW1 - G IY0 +LUGINBILL L AH1 - G IH0 N - B AH0 L +LUGINBUHL L AH1 - G IH0 N - B AH0 L +LUGKOV L UW1 G - K AO0 V +LUGO L UW1 - G OW0 +LUGOSI L UW0 - G OW1 - S IY0 +LUGOSI(2) L AH0 - G OW1 - S IY0 +LUGS L AH1 G Z +LUGUARDA L UW1 - G AA0 R - D AH0 +LUGUBRIOUS L UW0 - G Y UW1 - B R IY0 - AH0 S +LUGWORM L AH1 G - W ER0 M +LUGWORMS L AH1 G - W ER0 M Z +LUHMAN L AH1 - M AH0 N +LUHMANN L AH1 - M AH0 N +LUHN L AH1 N +LUHR L ER1 +LUHR(2) L UH1 R +LUHRING L UH1 - R IH0 NG +LUHRS L UH1 R Z +LUI L UW1 - IH0 +LUICK L UW1 K +LUIGI L UW0 - IY1 - JH IY0 +LUIGI'S L UW0 - IY1 - JH IY0 Z +LUIGI'S(2) L W IY1 - JH IY0 Z +LUIKART L UW1 - K AA0 R T +LUIS L UW0 - IY1 S +LUISA L UW0 - IY1 - Z AH0 +LUISI L UW1 - S IY0 +LUIZ L UW1 Z +LUJAN L UW0 - Y AA1 N +LUK L AH1 K +LUKA L UW1 - K AH0 +LUKACH L AH1 - K AH0 K +LUKACS L AH1 - K AH0 K S +LUKAS L UW1 - K AH0 Z +LUKASH L UW0 - K AE1 SH +LUKASIEWICZ L AH0 - K AA1 - S AH0 - V IH0 CH +LUKASIK L AH0 - K AA1 - S IH0 K +LUKASZEWSKI L AH0 - K AH0 - SH EH1 F S - K IY0 +LUKAVICA L UW0 - K AH0 - V IH1 - K AH0 +LUKAVIZTA L UW0 - K AH0 - V IH1 T - S T AH0 +LUKE L UW1 K +LUKE'S L UW1 K S +LUKEHART L UW1 K - HH AA0 R T +LUKEN L UW1 - K AH0 N +LUKENBILL L UW1 - K IH0 N - B IH0 L +LUKENS L UW1 - K AH0 N Z +LUKER L UW1 - K ER0 +LUKES L UW1 K S +LUKEWARM L UW1 K - W AO1 R M +LUKIN L UW1 - K IH0 N +LUKINS L UW1 - K IH0 N Z +LUKMAN L AH1 K - M AH0 N +LUKOIL L UW1 - K OY1 L +LUKOWSKI L AH0 - K AO1 F S - K IY0 +LUKS L AH1 K S +LUKYANOV L UW1 - K Y AH0 - N AA0 V +LULA L UW1 - L AH0 +LULA'S L UW1 - L AH0 Z +LULIE L AH1 - L IY0 +LULL L AH1 L +LULLABIES L AH1 - L AH0 - B AY2 Z +LULLABY L AH1 - L AH0 - B AY2 +LULLED L AH1 L D +LULLING L AH1 L - IH0 NG +LULLS L AH1 L Z +LULU L UW1 - L UW2 +LUM L AH1 M +LUMA L UW1 - M AH0 +LUMAN L UW1 - M AH0 N +LUMB L AH1 M +LUMBAGO L AH0 M - B EY1 - G OW2 +LUMBAR L AH1 M - B AA2 R +LUMBARD L AH1 M - B ER0 D +LUMBER L AH1 M - B ER0 +LUMBERING L AH1 M - B ER0 - IH0 NG +LUMBERJACK L AH1 M - B ER0 - JH AE2 K +LUMBERMAN L AH1 M - B ER0 - M AH0 N +LUMBERMAN'S L AH1 M - B ER0 - M AE2 N Z +LUMBERT L AH1 M - B ER0 T +LUMBERTON L AH1 M - B ER0 - T AH0 N +LUMBERYARD L AH1 M - B ER0 - Y AA2 R D +LUMBERYARDS L AH1 M - B ER0 - Y AA2 R D Z +LUMBRA L AH1 M - B R AH0 +LUMEN L UW1 - M AH0 N +LUMET L UW1 - M AH0 T +LUMEX L UW1 - M AH0 K S +LUMIA L UW1 - M IY0 - AH0 +LUMINA L UW1 - M IH0 - N AH0 +LUMINAL L UW1 - M AH0 - N AH0 L +LUMINANCE L UW1 - M AH0 - N AH0 N S +LUMINARIES L UW1 - M AH0 - N EH2 - R IY0 Z +LUMINARY L UW1 - M AH0 - N EH2 - R IY0 +LUMINESCENCE L UW2 - M AH0 - N EH1 - S AH0 N S +LUMINESCENT L UW2 - M AH0 - N EH1 - S AH0 N T +LUMINOL L UW2 - M IH0 - N AO1 L +LUMINOSO L UW2 - M IH0 - N OW1 - S OW0 +LUMINOUS L UW1 - M AH0 - N AH0 S +LUMLEY L AH1 M - L IY0 +LUMM L AH1 M +LUMMUS L AH1 - M AH0 S +LUMONICS L UW0 - M AA1 - N IH0 K S +LUMP L AH1 M P +LUMPECTOMIES L AH2 M - P EH1 K - T AH0 - M IY0 Z +LUMPECTOMY L AH2 M - P EH1 K - T AH0 - M IY0 +LUMPED L AH1 M P T +LUMPER L AH1 M - P ER0 +LUMPER'S L AH1 M - P ER0 Z +LUMPING L AH1 M - P IH0 NG +LUMPKIN L AH1 M P - K IH0 N +LUMPKINS L AH1 M P - K IH0 N Z +LUMPP L AH1 M P +LUMPS L AH1 M P S +LUMPUR L AH2 M - P UH1 R +LUMPY L AH1 M - P IY0 +LUMSDEN L AH1 M - S D AH0 N +LUN L AH1 N +LUNA L UW1 - N AH0 +LUNACY L UW1 - N AH0 - S IY0 +LUNAR L UW1 - N ER0 +LUNATI L UW0 - N AA0 - T IY1 +LUNATIC L UW1 - N AH0 - T IH2 K +LUNATICS L UW1 - N AH0 - T IH2 K S +LUNBERG L AH1 N - B ER0 G +LUNCEFORD L AH1 N - S IH0 - F AO0 R D +LUNCEFORD(2) L AH1 N S - F AO0 R D +LUNCH L AH1 N CH +LUNCHED L AH1 N CH T +LUNCHEON L AH1 N - CH AH0 N +LUNCHEONETTE L AH2 N - CH IH0 - N EH1 T +LUNCHEONS L AH1 N - CH AH0 N Z +LUNCHES L AH1 N - CH IH0 Z +LUNCHING L AH1 N - CH IH0 NG +LUNCHROOM L AH1 N CH - R UW2 M +LUNCHTIME L AH1 N CH - T AY2 M +LUND L AH1 N D +LUNDAHL L AH1 N - D AA2 L +LUNDAY L AH1 N - D EY2 +LUNDBERG L AH1 N D - B ER0 G +LUNDBLAD L AH1 N D - B L AH0 D +LUNDBORG L AH1 N D - B AO0 R G +LUNDE L AH1 N D +LUNDEEN L AH1 N - D IY0 N +LUNDELL L AH1 N - D AH0 L +LUNDEN L AH1 N - D AH0 N +LUNDER L AH1 N - D ER0 +LUNDGREN L AH1 N D - G R EH0 N +LUNDHOLM L AH1 N D - HH OW2 L M +LUNDIN L AH1 N - D IH0 N +LUNDMARK L AH1 N D - M AA2 R K +LUNDQUIST L AH1 N D - K W IH2 S T +LUNDSTEDT L AH1 N D - S T IH0 T +LUNDSTEN L AH1 N D - S AH0 N +LUNDSTROM L AH1 N D - S T R AH0 M +LUNDT L AH1 N T +LUNDY L AH1 N - D IY0 +LUNENBERG L UW0 - N EH1 N - B ER0 G +LUNETTA L UW0 - N EH1 - T AH0 +LUNG L AH1 NG +LUNGE L AH1 N JH +LUNGED L AH1 N JH D +LUNGER L AH1 - NG ER0 +LUNGES L AH1 N - JH IH0 Z +LUNGFISH L AH1 NG - F IH2 SH +LUNGING L AH1 N - JH IH0 NG +LUNGREN L AH1 NG - R EH0 N +LUNGS L AH1 NG Z +LUNN L AH1 N +LUNNEY L AH1 - N IY0 +LUNNY L AH1 - N IY0 +LUNSFORD L AH1 N S - F ER0 D +LUNT L AH1 N T +LUNTZ L AH1 N T S +LUNTZ' L AH1 N T S +LUNTZ'S L AH1 N T - S IH0 Z +LUNZ L AH1 N Z +LUO L W OW1 +LUOMA L UW0 - OW1 - M AH0 +LUONG L UW0 - AO1 NG +LUONGO L UW0 - OW1 NG - G OW0 +LUPA L UW1 - P AH0 +LUPATKIN L UW2 - P AA1 T - K IH0 N +LUPE L UW1 P +LUPER L UW1 - P ER0 +LUPFER L AH1 P - F ER0 +LUPI L UW1 - P IY0 +LUPICA L UW0 - P IY1 - K AH0 +LUPIEN L AH1 - P IY0 N +LUPIN L UW1 - P AH0 N +LUPINACCI L UW0 - P IY0 - N AA1 - CH IY0 +LUPINE L UW1 - P AY2 N +LUPINSKI L AH0 - P IH1 N - S K IY0 +LUPITA L UW0 - P IY1 - T AH0 +LUPLOW L AH1 - P L OW0 +LUPO L UW1 - P OW0 +LUPONE L UW2 - P OW1 N +LUPPINO L UW0 - P IY1 - N OW0 +LUPTAK L AH1 P - T AH0 K +LUPTON L AH1 P - T AH0 N +LUPUS L UW1 - P AH0 S +LUQUE L UW1 K +LUQUETTE L AH0 - K EH1 T +LURA L UH1 - R AH0 +LURCH L ER1 CH +LURCHED L ER1 CH T +LURCHES L ER1 - CH IH0 Z +LURCHING L ER1 - CH IH0 NG +LURE L UH1 R +LURED L UH1 R D +LURES L UH1 R Z +LURETTE L ER0 - EH1 T +LURGI L ER1 - JH IY0 +LURIA L UH1 - R IY0 - AH0 +LURID L UH1 - R AH0 D +LURIE L UH1 - R IY0 +LURING L UH1 - R IH0 NG +LURK L ER1 K +LURKED L ER1 K T +LURKING L ER1 - K IH0 NG +LURKS L ER1 K S +LURLEEN L ER0 - L IY1 N +LURLENE L ER1 - L IY0 N +LURLINE L ER1 - L AY0 N +LURVEY L ER0 - V EY1 +LURZ L ER1 Z +LUSAKA L UW0 - S AA1 - K AH0 +LUSARDI L UW0 - S AA1 R - D IY0 +LUSBY L AH1 S - B IY0 +LUSCH L AH1 SH +LUSCHER L AH1 - SH ER0 +LUSCIOUS L AH1 - SH IH0 S +LUSCOMBE L UW0 - S K OW1 M - B IY0 +LUSE L UW1 Z +LUSH L AH1 SH +LUSHER L AH1 - SH ER0 +LUSHLIFE L AH1 SH - L AY0 F +LUSHLY L AH1 SH - L IY0 +LUSIGNAN L AH1 - S IH0 G - N AH0 N +LUSINCHI L UW0 - S IH1 N - CH IY0 +LUSITANIA L UW2 - S AH0 - T EY1 - N IY0 - AH0 +LUSITANIA'S L UW2 - S AH0 - T EY1 - N IY0 - AH0 Z +LUSITANIAS L UW2 - S AH0 - T EY1 - N IY0 - AH0 Z +LUSK L AH1 S K +LUSKIN L AH1 - S K IH0 N +LUSKY L AH1 S - K IY0 +LUSSER L AH1 - S ER0 +LUSSIER L AH1 - S IY0 - ER0 +LUST L AH1 S T +LUSTED L AH1 - S T IH0 D +LUSTER L AH1 - S T ER0 +LUSTFUL L AH1 S T - F AH0 L +LUSTGARTEN L AH1 S T - G AA2 R - D AH0 N +LUSTIG L AH1 - S T IH0 G +LUSTING L AH1 - S T IH0 NG +LUSTRE L AH1 - S T ER0 +LUSTROUS L AH1 S - T R AH0 S +LUSTY L AH1 - S T IY0 +LUTE L UW1 T +LUTECE L UW2 - T EH1 S +LUTECIA L UW0 - T IY1 - SH Y AH0 +LUTEN L UW1 - T AH0 N +LUTER L UW1 - T ER0 +LUTES L UW1 T S +LUTEY L UW1 - T IY0 +LUTFALLA L AH0 T - F AE1 - L AH0 +LUTGEN L AH1 T - G AH0 N +LUTH L UW1 TH +LUTHER L UW1 - TH ER0 +LUTHERAN L UW1 - TH ER0 - AH0 N +LUTHI L UW1 - DH IY0 +LUTHY L AH1 - TH IY0 +LUTMAN L AH1 T - M AH0 N +LUTON L UW1 - T AH0 N +LUTSKY L AH1 T S - K IY0 +LUTTER L AH1 - T ER0 +LUTTERMAN L AH1 - T ER0 - M AH0 N +LUTTMAN L AH1 T - M AH0 N +LUTTON L AH1 - T AH0 N +LUTTRELL L AH1 - T R AH0 L +LUTTRULL L AH1 - T R AH0 L +LUTTWAK L AH1 T - W AA0 K +LUTWEILER L AH1 T - W AY0 - L ER0 +LUTY L UW1 - T IY0 +LUTZ L AH1 T S +LUTZE L AH1 T Z +LUTZKE L AH1 T S - K IY0 +LUU L UW1 - UW0 +LUVENA L AH1 - V IH0 - N AH0 +LUVS L AH1 V Z +LUWANA L AH0 W - AE1 - N AH0 +LUX L AH1 K S +LUXEMBOURG L AH1 K - S AH0 M - B AO2 R G +LUXEMBOURG(2) L AH1 K - S AH0 M - B ER1 G +LUXOR L AH1 K - S ER0 +LUXOTTICA L AH2 K - S OW0 - T IY1 - K AH0 +LUXOTTICA'S L AH2 K - S OW0 - T IY1 - K AH0 Z +LUXOTTICA'S(2) L AH2 K - S AA1 - T IH0 - K AH0 Z +LUXOTTICA(2) L AH2 K - S AA1 - T IH0 - K AH0 +LUXTON L AH1 K - S T AH0 N +LUXURIANT L AH0 G - ZH ER1 - IY0 - AH0 N T +LUXURIES L AH1 G - ZH ER0 - IY0 Z +LUXURIOUS L AH0 G - ZH ER1 - IY0 - AH0 S +LUXURY L AH1 G - ZH ER0 - IY0 +LUYSTER L AY1 - S T ER0 +LUZ L AH1 Z +LUZADER L AH1 - Z AH0 - D ER0 +LUZAR L UW1 - Z ER0 +LUZHKOV L UW1 ZH - K AO2 V +LUZIER L UW1 - Z IY0 - ER0 +LUZON L UW1 - Z AA0 N +LUZZI L UW1 T - S IY0 +LWIN L W IH1 N +LWIN(2) EH1 L - W IH2 N +LWIN(3) L UW1 - IH2 N +LXI L K S IY1 +LXI(2) EH1 - L EH1 K - S AY1 +LY L AY1 +LYALL L AY1 - AH0 L +LYANNE L IY0 - AE1 N +LYANNE(2) L AY2 - AE1 N +LYBARGER L AY1 - B AA2 R - G ER0 +LYBECK L AY1 - B EH2 K +LYBRAND L AY1 - B R AE2 N D +LYBRAND'S L AY1 - B R AH0 N D Z +LYCAN L AY1 - K AH0 N +LYCOMING L AY1 - K AH0 - M IH0 NG +LYCOMING(2) L AY2 - K OW1 - M IH0 NG +LYCRA L AY1 - K R AH0 +LYDA L AY1 - D AH0 +LYDALL L AY1 - D AH0 L +LYDAY L AY1 - D EY2 +LYDE L AY1 D +LYDEN L AY1 - D AH0 N +LYDIA L IH1 - D IY0 - AH0 +LYDIC L IH1 - D IH0 K +LYDICK L IH1 - D IH0 K +LYDIE L IH1 - D IY0 +LYDON L IH1 - D AH0 N +LYE L AY1 +LYELL L AY2 - EH1 L +LYERLA L AY2 - ER1 - L AH0 +LYERLY L AY1 - ER0 - L IY0 +LYFORD L IH1 - F ER0 D +LYING L AY1 - IH0 NG +LYKE L AY1 K +LYKENS L AY1 - K AH0 N Z +LYKES L AY1 K S +LYKIN L AY1 - K AH0 N +LYKINS L IH1 - K AH0 N Z +LYLE L AY1 L +LYLE'S L AY1 L Z +LYLES L AY1 L Z +LYMAN L AY1 - M AH0 N +LYME L AY1 M +LYMPH L IH1 M F +LYMPHADENOPATHY L IH2 M - F AH0 - D EH1 - N AH0 - P AE2 - TH IY0 +LYMPHATIC L IH2 M - F AE1 - T IH0 K +LYMPHOCYTE L IH1 M - F AH0 - S AY2 T +LYMPHOCYTES L IH1 M - F AH0 - S AY2 T S +LYMPHOMA L IH0 M - F OW1 - M AH0 +LYMPHOMAS L IH0 M - F OW1 - M AH0 Z +LYN L IH1 N +LYNAM L IH1 - N AH0 M +LYNCH L IH1 N CH +LYNCH'S L IH1 N - CH IH0 Z +LYNCHBURG L IH1 N CH - B ER0 G +LYNCHED L IH1 N CH T +LYNCHING L IH1 N - CH IH0 NG +LYNCHINGS L IH1 N - CH IH0 NG Z +LYND L IH1 N D +LYNDA L IH1 N - D AH0 +LYNDE L IH1 N D +LYNDEN L IH1 N - D AH0 N +LYNDHURST L IH1 N D - HH ER0 S T +LYNDON L IH1 N - D AH0 N +LYNDS L IH1 N D Z +LYNE L AY1 N +LYNES L AY1 N Z +LYNESS L AY2 - N EH1 S +LYNETTE L AY2 - N EH1 T +LYNFORD L IH1 N - F ER0 D +LYNG L IH1 NG +LYNK L IH1 NG K +LYNN L IH1 N +LYNN'S L IH1 N Z +LYNNA L AY1 - N AH0 +LYNNE L IH1 N +LYNOTT L AY1 - N AH0 T +LYNSKEY L IH1 N - S K IY0 +LYNTON L IH1 N - T AH0 N +LYNX L IH1 NG K S +LYNXES L IH1 NG K - S IH0 Z +LYON L AY1 - AH0 N +LYON'S L AY1 - AH0 N Z +LYONDELL L AY2 - AH0 N - D EH1 L +LYONNAIS L IY2 - AH0 - N EY1 +LYONNAIS'S L AY2 - AH0 - N EY1 - Z IH0 Z +LYONNAIS(2) L AY2 - AH0 - N EY1 Z +LYONNAISE L AY2 - AH0 - N EY1 Z +LYONS L AY1 - AH0 N Z +LYONS'S L AY1 - AH0 N - Z IH0 Z +LYPHOMED L AY1 - F AH0 - M EH0 D +LYPHOMED'S L AY1 - F AH0 - M EH0 D Z +LYPHOMED'S(2) L IH1 - F AH0 - M EH0 D Z +LYPHOMED(2) L IH1 - F AH0 - M EH0 D +LYRA L AY1 - R AH0 +LYRE L AY1 R +LYRIC L IH1 - R IH0 K +LYRICAL L IH1 - R IH0 - K AH0 L +LYRICALLY L IH1 - R IH0 K - L IY0 +LYRICISM L IH1 - R IH0 - S IH2 - Z AH0 M +LYRICIST L IH1 - R IH0 - S IH0 S T +LYRICISTS L IH1 - R IH0 - S IH0 S T S +LYRICISTS(2) L IH1 - R IH0 - S IH0 S S +LYRICISTS(3) L IH1 - R IH0 - S IH0 S +LYRICS L IH1 - R IH0 K S +LYRIS L IH1 - R IH0 S +LYRIST L IH1 - R IH0 S T +LYSAGHT L AY1 - S AA0 T +LYSANDER L AY2 - S AE1 N - D ER0 +LYSANDRA L AY2 - S AE1 N - D R AH0 +LYSINE L AY1 - S IY0 N +LYSIS L AY1 - S IH0 S +LYSKI L AY1 S - K IY0 +LYSNE L AY1 N +LYSOL L AY1 - S AO2 L +LYSSY L IH1 - S IY0 +LYSTER L IH1 - S T ER0 +LYTER L AY1 - T ER0 +LYTHGOE L IH1 TH - G OW0 +LYTLE L AY1 - T AH0 L +LYTTLE L IH1 - T AH0 L +LYTTON L IH1 - T AH0 N +LYUBIMOV L Y UW1 - B AH0 - M AA0 V +LYUBIMOV'S L Y UW1 - B AH0 - M AA0 V Z +LYVERS L AY1 - V ER0 Z +M EH1 M +M'BOW M B OW1 +M'BOW(2) EH2 M - B OW1 +M'S EH1 M Z +M-8 EH1 - M EY1 T +M-80 EH1 - M EY1 - T IY0 +M-CODE EH1 M - K OW1 D +M-CODES EH1 M - K OW1 D Z +M. EH1 M +M.'S EH1 M Z +M.S EH1 M Z +M1 EH1 M - W AH1 N +M2 EH1 M - T UW1 +M3 EH1 M - TH R IY1 +M4 EH1 M - F AO1 R +M5 EH1 M - F AY1 V +MA M AA1 +MA'AM M AE1 M +MAACK M AA1 K +MAACO M EY1 - K OW0 +MAAG M AA1 G +MAAHS M AA1 Z +MAALOX M EY1 - L AA0 K S +MAAM M AH1 M +MAAS M AA1 Z +MAASS M AA1 S +MAASSEN M AA1 - S AH0 N +MAASTRICHT M AA1 - S T R IH2 K T +MAB M AE1 B +MABE M EY1 B +MABEE M AE1 - B IY0 +MABEL M EY1 - B AH0 L +MABELLE M AH0 - B EH1 L +MABEN M AE1 - B AH0 N +MABERRY M AA1 - B EH0 - R IY0 +MABERY M AE1 - B ER0 - IY0 +MABEY M EY1 - B IY0 +MABIE M AE1 - B IY0 +MABILE M AA1 - B AH0 L +MABIN M AE1 - B IH0 N +MABIS M AE1 - B IH0 S +MABLE M EY1 - B AH0 L +MABLEY M AE1 - B L IY0 +MABON M EY1 - B AH0 N +MABREY M AE1 - B R IY0 +MABRY M AE1 - B ER0 - IY0 +MABUS M AE1 - B IH0 S +MAC M AE1 K +MAC'S M AE1 K S +MACABRE M AH0 - K AA1 - B R AH0 +MACABRE(2) M AH0 - K AA1 - B ER0 +MACADAM M AH0 - K AE1 - D AH0 M +MACADAMIA M AE2 - K AH0 - D EY1 - M IY0 - AH0 +MACALLISTER M AH0 - K AE1 - L IH0 - S T ER0 +MACALPINE M AH0 - K AE1 L - P AY1 N +MACALUSO M AE2 - K AH0 - L UW1 - S OW0 +MACANDREWS M AH0 - K AE1 N - D R UW2 Z +MACAO M AH0 - K AW1 +MACAQUES M AH0 - K AA1 K S +MACARI M AA0 - K AA1 - R IY0 +MACARONI M AE2 - K ER0 - OW1 - N IY0 +MACARTHUR M AH0 - K AA1 R - TH ER0 +MACARTNEY M AH0 - K AA1 R T - N IY0 +MACAU M AH0 - K AW1 +MACAULAY M AH0 - K AO1 - L IY0 +MACAULEY M AH0 - K AO1 - L IY0 +MACAW M AH0 - K AO1 +MACAWS M AH0 - K AO1 Z +MACBETH M AH0 K - B EH1 TH +MACBRIDE M AH0 K - B R AY1 D +MACCABEAN M AE2 - K AH0 - B IY1 - AH0 N +MACCABEE M AE1 - K AH0 - B IY2 +MACCABEES M AE1 - K AH0 - B IY2 Z +MACCALLUM M AH0 - K AE1 - L AH0 M +MACCAQUANO M AE2 - K AH0 - K W AA1 - N OW0 +MACCARONE M AE1 - K ER0 - OW2 N +MACCARTHY M AH0 - K AA1 R - TH IY0 +MACCHI M AE1 - K IY0 +MACCHIA M AE1 - K IY0 - AH0 +MACCHIO M AE1 - K IY0 - OW0 +MACCONNELL M AH0 - K AA1 - N AH0 L +MACCORMACK M AH0 - K AO1 R - M AH0 K +MACDERMOTT M AH0 K - D ER1 - M AH0 T +MACDIARMID M AH0 K - D IH1 R - M IH0 D +MACDILL M AH0 K - D IH1 L +MACDILL'S M AH0 K - D IH1 L Z +MACDONALD M AH0 K - D AA1 - N AH0 L D +MACDONALD'S M AH0 K - D AA1 - N AH0 L D Z +MACDONELL M AH0 K - D AA1 - N AH0 L +MACDONNELL M AH0 K - D AA1 - N AH0 L +MACDONOUGH M AH0 K - D AA1 - N AH0 F +MACDOUGAL M AH0 K - D UW1 - G AH0 L +MACDOUGALL M AH0 K - D UW1 - G AH0 L +MACDOWELL M AH0 K - D AW1 - AH0 L +MACDUFF M AH0 K - D AH1 F +MACE M EY1 S +MACEACHERN M AH0 - K IY1 - CH ER0 N +MACEDA M AH0 - S EY1 - D AH0 +MACEDO M AH0 - S EY1 - D OW0 +MACEDONIA M AE2 - S AH0 - D OW1 - N IY0 - AH0 +MACEDONIA'S M AE2 - S AH0 - D OW1 - N IY0 - AH0 Z +MACEDONIA'S(2) M AE2 - S AH0 - D OW1 - N IY0 - AH0 Z +MACEDONIA(2) M AE2 - S AH0 - D OW1 - N Y AH0 +MACEDONIAN M AE2 - S AH0 - D OW1 - N IY0 - AH0 N +MACEDONIAN(2) M AE2 - S AH0 - D OW1 - N Y AH0 N +MACEDONIANS M AE2 - S IH0 - D OW1 - N IY0 - AH0 N Z +MACEDONIANS(2) M AE2 - S IH0 - D OW1 - N Y AH0 N Z +MACEK M IH0 - K EH1 K +MACERA M AH0 - S EH1 - R AH0 +MACEWAN M AH0 - CH UW1 - AH0 N +MACEWAN(2) M EY1 S - W AA0 N +MACEWEN M AH0 - K UW1 - AH0 N +MACEWEN(2) M EY1 S - W AA0 N +MACEY M EY1 - S IY0 +MACFADDEN M AH0 K - F AE1 - D AH0 N +MACFADYEN M AH0 K - F AE1 - D IY0 - AH0 N +MACFARLAND M AH0 K - F AA1 R - L AH0 N D +MACFARLANE M AH0 K - F AA1 R - L AH0 N +MACGOWAN M AH0 - G AW1 - AH0 N +MACGRAW M AH0 - G R AA1 +MACGREGOR M AH0 - G R EH1 - G ER0 +MACGYVER M AH0 - G AY1 - V ER0 +MACGYVER'S M AH0 - G AY1 - V ER0 Z +MACH M AA1 K +MACHA M AE1 - CH AH0 +MACHACEK M AE1 - K AH0 - S IH0 K +MACHADO M AH0 - CH AA1 - D OW0 +MACHAIN M AH0 - CH EY2 N +MACHALA M AH0 - CH AA1 - L AH0 +MACHAMER M AE1 - K AH0 - M ER0 +MACHE M AE1 CH +MACHEL M AE1 - CH AH0 L +MACHEN M AE1 - K AH0 N +MACHER M AE1 - K ER0 +MACHESKI M AH0 - CH EH1 S - K IY0 +MACHETE M AH0 - SH EH1 - T IY2 +MACHETE(2) M AH0 - CH EH1 - T IY2 +MACHETES M AH0 - SH EH1 - T IY2 Z +MACHETES(2) M AH0 - CH EH1 - T IY2 Z +MACHI M AA1 - K IY0 +MACHIAVELLI M AA2 - K IY0 - AH0 - V EH1 - L IY0 +MACHIAVELLI'S M AA2 - K IY0 - AH0 - V EH1 - L IY0 Z +MACHIAVELLI'S(2) M AA2 - K Y AH0 - V EH1 - L IY0 Z +MACHIAVELLI(2) M AA2 - K Y AH0 - V EH1 - L IY0 +MACHIAVELLIAN M AA2 - K IY0 - AH0 - V EH1 - L IY0 - AH0 N +MACHIAVELLIAN(2) M AA2 - K Y AH0 - V EH1 - L IY0 - AH0 N +MACHIDA M AH0 - CH IY1 - D AH0 +MACHIN M AE1 - CH IH0 N +MACHINATION M AE2 - K AH0 - N EY1 - SH AH0 N +MACHINATION(2) M AE2 - SH AH0 - N EY1 - SH AH0 N +MACHINATIONS M AE2 - K AH0 - N EY1 - SH AH0 N Z +MACHINATIONS(2) M AE2 - SH AH0 - N EY1 - SH AH0 N Z +MACHINE M AH0 - SH IY1 N +MACHINE'S M AH0 - SH IY1 N Z +MACHINEA M AE2 - SH AH0 - N IY1 - AH0 +MACHINED M AH0 - SH IY1 N D +MACHINERIES M AH0 - SH IY1 - N ER0 - IY0 Z +MACHINERIES(2) M AH0 - SH IY1 N - R IY0 Z +MACHINERY M AH0 - SH IY1 - N ER0 - IY0 +MACHINERY(2) M AH0 - SH IY1 N - R IY0 +MACHINES M AH0 - SH IY1 N Z +MACHINES' M AH0 - CH IY1 N Z +MACHINING M AH0 - SH IY1 - N IH0 NG +MACHINIST M AH0 - SH IY1 - N AH0 S T +MACHINISTS M AH0 - SH IY1 - N IH0 S T S +MACHINISTS' M AH0 - SH IY1 - N IH0 S T S +MACHINISTS'(2) M AH0 - SH IY1 - N IH0 S S +MACHINISTS'(3) M AH0 - SH IY1 - N IH0 S +MACHINISTS(2) M AH0 - SH IY1 - N IH0 S S +MACHINISTS(3) M AH0 - SH IY1 - N IH0 S +MACHISMO M AH0 - CH IH1 Z - M OW0 +MACHISMO(2) M AH0 - K IH1 Z - M OW0 +MACHNIK M AE1 K - N IH0 K +MACHO M AA1 - CH OW0 +MACHOLD M AH0 - HH OW1 L D +MACHOWSKI M AH0 - CH AO1 F S - K IY0 +MACHT M AE1 CH T +MACHTLEY M AE1 T CH - L IY0 +MACHUCA M AH0 - CH UW1 - K AH0 +MACHUGA M AH0 - CH UW1 - G AH0 +MACIAG M AH0 - K EY1 G +MACIAS M AA0 - S IY1 - AH0 S +MACIEJEWSKI M AH0 - CH EH1 F S - K IY0 +MACIEJEWSKI(2) M AH0 - CH UW1 S - K IY0 +MACIEL M IH0 - K IY1 L +MACIK M AA1 - CH IH0 K +MACINNES M AH0 - K IH1 - N AH0 S +MACINNIS M AH0 - K IH1 - N AH0 S +MACINTAX M AE1 - K AH0 N - T AE2 K S +MACINTOSH M AE1 - K AH0 N - T AO2 SH +MACINTOSH'S M AE1 - K AH0 N - T AA2 - SH IH0 Z +MACINTOSHES M AE1 - K AH0 N - T AO2 - SH IH0 Z +MACINTYRE M AE1 - K AH0 N - T AY2 R +MACIOCE M AA0 - CH OW1 - CH IY0 +MACIOLEK M AH0 - CH IY0 - OW1 - L EH0 K +MACISAAC M AH0 - CH IH1 - S AE2 K +MACIVER M IY1 - K IH0 - V ER0 +MACK M AE1 K +MACK'S M AE1 K S +MACKALL M AE1 - K AH0 L +MACKAY M AH0 - K EY1 +MACKE M AE1 K +MACKEL M AE1 - K AH0 L +MACKELLAR M AH0 - K EH1 - L ER0 +MACKEN M AE1 - K AH0 N +MACKENZIE M AH0 - K EH1 N - Z IY0 +MACKEREL M AE1 - K ER0 - AH0 L +MACKERT M AE1 - K ER0 T +MACKEY M AE1 - K IY0 +MACKIE M AE1 - K IY0 +MACKIE'S M AE1 - K IY0 Z +MACKIEWICZ M AE1 - K IY0 - AH0 - W IH0 T S +MACKIEWICZ(2) M AE1 - K Y AH0 - W IH0 T S +MACKIN M AE1 - K IH0 N +MACKINAW M AE1 - K AH0 - N AO2 +MACKINLEY M AH0 - K IH1 N - L IY0 +MACKINNEY M AH0 - K IH1 - N IY0 +MACKINNON M AH0 - K IH1 - N AH0 N +MACKINTOSH M AE1 - K AH0 N - T AA2 SH +MACKLEM M AE1 - K L AH0 M +MACKLER M AE1 K - L ER0 +MACKLEY M AE1 K - L IY0 +MACKLIN M AE1 K - L IH0 N +MACKLIN'S M AE1 K - L IH0 N Z +MACKNAY M AE0 K - N EY1 +MACKNIGHT M AH0 K - N AY1 T +MACKO M AE1 - K OW0 +MACKOWIAK M AH0 - S K AW1 - IY0 - AE0 K +MACKOWSKI M AH0 S K - AO1 F S - K IY0 +MACKS M AE1 K S +MACKTAL M AE1 K - T AH0 L +MACLACHLAN M AH0 K - L AE1 K - L AH0 N +MACLAINE M AH0 - K L EY1 N +MACLAREN M AH0 - K L EH1 - R AH0 N +MACLAUGHLIN M AH0 K - L AO1 - K L IH0 N +MACLAY M AH0 K - L EY1 +MACLEAN M AH0 - K L EY1 N +MACLEISH M AH0 K - L IY1 SH +MACLELLAN M AH0 - K L EH1 - L AH0 N +MACLENNAN M AH0 K - L EH1 - N AH0 N +MACLEOD M AH0 K - L AW1 D +MACLIN M AE1 K - L AH0 N +MACMAHON M AH0 K - M AE1 N +MACMASTER M AH0 K - M AE1 - S T ER0 +MACMILLAN M AH0 K - M IH1 - L AH0 N +MACMILLAN'S M AH0 K - M IH1 - L AH0 N Z +MACMULLEN M AH0 K - M AH1 - L AH0 N +MACMURRAY M AH0 K - M ER1 - IY0 +MACNAB M AH0 K - N AE1 B +MACNAIR M AH0 K - N EH1 R +MACNAMARA M AE1 K - N AH0 - M EH2 - R AH0 +MACNAUGHTON M AH0 K - N AO1 - T AH0 N +MACNEAL M AH0 K - N IY1 L +MACNEIL M AH0 K - N IY1 L +MACNEILL M AH0 K - N IY1 L +MACOMB M EY1 - K AH0 M +MACOMBER M AH0 - K AA1 M - B ER0 +MACON M EY1 - K AH0 N +MACOUTE M AH0 - K UW1 T +MACOUTES M AH0 - K UW1 T S +MACPHAIL M AH0 K - F EY1 L +MACPHEE M AH0 K - F IY1 +MACPHERSON M AH0 K - F IH1 R - S AH0 N +MACQUARRIE M AH0 - K EH1 - R IY0 +MACQUEEN M AH0 - K W IY1 N +MACRAE M AH0 K - R EY1 +MACRAME M AE1 - K R AH0 - M EY2 +MACRI M AE1 - K R IY0 +MACRO M AE1 - K R OW0 +MACRODANTIN M AE2 - K R OW0 - D AE1 N - T IH0 N +MACROECONOMIC M AE2 - K R OW0 - EH0 - K AH0 - N AA1 - M IH0 K +MACROECONOMIC(2) M AE2 - K R OW0 - IY0 - K AH0 - N AA1 - M IH0 K +MACROECONOMICS M AE2 - K R OW0 - EH0 - K AH0 - N AA1 - M IH0 K S +MACROECONOMICS(2) M AE2 - K R OW0 - IY0 - K AH0 - N AA1 - M IH0 K S +MACROMEDIA M AE2 - K R OW0 - M IY1 - D IY0 - AH0 +MACROPHAGE M AE1 - K R OW0 - F EY2 JH +MACROPHAGES M AE1 - K R OW0 - F EY2 - JH IH0 Z +MACROVISION M AE1 - K R OW0 - V IH2 - ZH AH0 N +MACS M AE1 K S +MACSHARRY M AH0 K - SH EH1 - R IY0 +MACTAGGART M AH0 K - T AE1 - G ER0 T +MACTAN M AH0 K - T AE1 N +MACTAVISH M AH0 K - T AE1 - V IH0 SH +MACUMBER M AH0 - K AH1 M - B ER0 +MACUMOLO M AH0 - K UW1 - M OW0 - L OW0 +MACUMOLO'S M AH0 - K UW1 - M OW0 - L OW0 Z +MACVICAR M AH0 K - V IH1 - K ER0 +MACVICAR'S M AH0 K - V IH1 - K ER0 Z +MACVIE M AE1 K - V IY0 +MACWILLIAMS M AH0 - K W IH1 - L Y AH0 M Z +MACWORLD M AE1 K - W ER2 L D +MACY M EY1 - S IY0 +MACY'S M EY1 - S IY0 Z +MACZKO M AA1 CH - K OW0 +MAD M AE1 D +MADA M AA1 - D AH0 +MADAGASCAR M AE2 - D AH0 - G AE1 - S K ER0 +MADALENA M AE2 - D AH0 L - EY1 - N AH0 +MADAM M AE1 - D AH0 M +MADAME M AE1 - D AH0 M +MADAME(2) M AH0 - D AE1 M +MADAN M EY1 - D AH0 N +MADAR M AE1 - D ER0 +MADARA M AA0 - D AA1 - R AH0 +MADARAS M AA0 - D AA1 - R AA0 Z +MADARIS M AE1 - D ER0 - IH0 S +MADAY M AA1 - D EY0 +MADCAP M AE1 D - K AE2 P +MADD M AE1 D +MADDALENA M AA0 - D AA0 - L EH1 - N AH0 +MADDAMMA M AH0 - D AA1 - M AH0 +MADDEN M AE1 - D AH0 N +MADDENING M AE1 - D AH0 N - IH0 NG +MADDENING(2) M AE1 D - N IH0 NG +MADDENINGLY M AE1 - D AH0 N - IH0 NG - L IY0 +MADDENINGLY(2) M AE1 D - N IH0 NG - L IY0 +MADDER M AE1 - D ER0 +MADDIE M AE1 - D IY0 +MADDING M AE1 - D IH0 NG +MADDISON M AE1 - D IH0 S - AH0 N +MADDOCK M AE1 - D AH0 K +MADDOCKS M AE1 - D AH0 K S +MADDOX M AE1 - D AH0 K S +MADDUX M AE1 - D AH0 K S +MADDY M AE1 - D IY0 +MADE M EY1 D +MADEIRA M AH0 - D IH1 - R AH0 +MADEJ M AE1 - D IH0 JH +MADEL M AE1 - D AH0 L +MADELAINE M AE1 - D IH0 - L EY0 N +MADELEINE M AE2 - D AH0 - L EH1 N +MADELENA M AA0 - D EH0 - L EH1 - N AH0 +MADELENE M AE0 - D AH0 - L IY1 N +MADELIN M AE1 - D AH0 L - IH0 N +MADELINE M AE1 - D AH0 L - IH0 N +MADELLA M AH0 - D EH1 - L AH0 +MADELLE M AH0 - D EH1 L +MADELON M AA0 - D EY0 - L AO1 N +MADELYN M AE1 - D IH0 - L IH0 N +MADELYN(2) M AE1 D - L IH0 N +MADEMOISELLE M AE2 - D AH0 M - AH0 - Z EH1 L +MADEN M EY1 - D AH0 N +MADER M EY1 - D ER0 +MADERA M AA0 - D EH1 - R AH0 +MADERE M AE1 - D ER0 +MADERO M AA0 - D EH1 - R OW0 +MADEWELL M AE1 - D IH0 - W EH0 L +MADEWELL(2) M EY1 D - W EH0 L +MADEY M EY1 - D IY0 +MADGE M AE1 JH +MADHOUSE M AE1 D - HH AW2 S +MADHUSUDAN M AA2 D - HH UW0 - S UW1 - D AH0 N +MADIA M AA1 - D IY0 - AH0 +MADIGAN M AE1 - D IH0 - G AH0 N +MADILL M AA0 - D IY1 L +MADIS M AE1 - D AH0 S +MADISON M AE1 - D AH0 - S AH0 N +MADISON'S M AE1 - D AH0 - S AH0 N Z +MADISON'S(2) M AE1 - D IH0 S - AH0 N Z +MADISON(2) M AE1 - D IH0 S - AH0 N +MADKINS M AE1 D - K IH0 N Z +MADL M AE1 - D AH0 L +MADLEN M AE1 - D AH0 - L AH0 N +MADLIN M AE1 D - L IH0 N +MADLOCK M AE1 D - L AA2 K +MADLY M AE1 D - L IY0 +MADMAN M AE1 D - M AE2 N +MADMEN M AE1 D - M AH0 N +MADNESS M AE1 D - N AH0 S +MADOC M AE1 - D AH0 K +MADOCK M AE1 - D AH0 K +MADOFF M AE1 - D AO2 F +MADOG M AE1 - D AH0 G +MADOLE M AH0 - D OW1 L +MADONIA M AA0 - D OW1 - N IY0 - AH0 +MADONNA M AH0 - D AA1 - N AH0 +MADONNA'S M AH0 - D AA1 - N AH0 Z +MADORA M AH0 - D AO1 - R AH0 +MADORE M AH0 - D AO1 - R EY0 +MADRA M AA1 - D R AH0 +MADRAS M AE1 - D R AH0 S +MADRE M AA1 - D R EY2 +MADRES M AA1 - D R EY2 Z +MADRID M AH0 - D R IH1 D +MADRIDS M AH0 - D R IH1 D Z +MADRIGAL M AE1 - D R AH0 - G AH0 L +MADRIGAL(2) M AE1 - D R IH0 - G AH0 L +MADRIGALS M AE1 - D R AH0 - G AH0 L Z +MADRIGALS(2) M AE1 - D R IH0 - G AH0 L Z +MADRIL M AE1 - D R IH0 L +MADRON M AE1 - D R AH0 N +MADRUGA M AE1 - D R UW0 - G AH0 +MADRY M AE1 - D R IY0 +MADSEN M AE1 D - S AH0 N +MADSON M AE1 D - S AH0 N +MADSTONES M AE1 D - S T OW2 N Z +MADY M EY1 - D IY0 +MADYUN M AE1 - D IY0 - AH0 N +MADYUN(2) M AE1 - D Y AH0 N +MAE M EY1 +MAE'S M EY1 Z +MAEDA M EY0 - IY1 - D AH0 +MAEDER M EH1 - D ER0 +MAEKAWA M AA2 - IH0 - K AA1 - W AH0 +MAELSTROM M EY1 L - S T R AH0 M +MAENZA M AA0 - EH1 N - Z AH0 +MAERSK M EH1 R S K +MAERTENS M EH1 R - T AH0 N Z +MAERTZ M EH1 R T S +MAERZ M EH1 R Z +MAES M EY1 Z +MAESE M IY1 S +MAESTAS M EH1 - S T AH0 Z +MAESTRI M AA0 - EH1 S - T R IY0 +MAESTRO M AY1 - S T R OW0 +MAEZ M AY0 - EH1 Z +MAFFEI M AE1 - F AY0 +MAFFEO M AA1 - F IY0 - OW0 +MAFFETT M AE1 - F IH0 T +MAFFIA M AE1 - F IY0 - AH0 +MAFFUCCI M AA0 - F UW1 - CH IY0 +MAFIA M AA1 - F IY0 - AH0 +MAFIA'S M AA1 - F IY0 - AH0 Z +MAFIAS M AA1 - F IY0 - AH0 Z +MAG M AE1 G +MAGADAN M AE1 - G AH0 - D AE2 N +MAGALLANES M AE1 - G AH0 - L EY2 N Z +MAGALLON M AE1 - G AH0 - L AA0 N +MAGAN M EY1 - G AH0 N +MAGANA M AA0 - G AE1 - N AH0 +MAGAR M AE1 - G ER0 +MAGARIAN M AH0 - G EH1 - R IY0 - AH0 N +MAGAW M AE1 - G AO0 +MAGAZINE M AE1 - G AH0 - Z IY2 N +MAGAZINE'S M AE1 - G AH0 - Z IY2 N Z +MAGAZINER M AE2 - G AH0 - Z IY1 - N ER0 +MAGAZINER'S M AE2 - G AH0 - Z IY1 - N ER0 Z +MAGAZINES M AE1 - G AH0 - Z IY2 N Z +MAGAZINES' M AE1 - G AH0 - Z IY2 N Z +MAGBY M AE1 G - B IY0 +MAGDA M AE1 G - D AH0 +MAGDALA M AA0 G - D AA1 - L AH0 +MAGDALEN M AE1 G - D AH0 - L AH0 N +MAGDALENA M AE2 G - D AH0 - L IY1 - N AH0 +MAGDALENE M AE1 G - D AH0 - L IY2 N +MAGDALENO M AA0 G - D AA0 - L EY1 - N OW0 +MAGEE M AH0 - G IY1 +MAGEL M AE1 - G AH0 L +MAGELLAN M AH0 - JH EH1 - L AH0 N +MAGELLAN'S M AH0 - JH EH1 - L AH0 N Z +MAGELLANIC M AE2 - JH AH0 - L AE1 - N IH0 K +MAGENTA M AH0 - JH EH1 N - T AH0 +MAGER M AE1 - G ER0 +MAGER(2) M EY1 - G ER0 +MAGERMAN M AE1 - G ER0 - M AH0 N +MAGERS M AE1 - G ER0 Z +MAGES M EY1 - JH IH0 Z +MAGGARD M AE1 - G ER0 D +MAGGART M AE1 - G ER0 T +MAGGI M AE1 - JH IY0 +MAGGIE M AE1 - G IY0 +MAGGIO M AA1 - JH IY0 - OW0 +MAGGOT M AE1 - G AH0 T +MAGGOTS M AE1 - G AH0 T S +MAGGS M AE1 G Z +MAGI M EY1 - JH AY0 +MAGIC M AE1 - JH IH0 K +MAGIC'S M AE1 - JH IH0 K S +MAGICAL M AE1 - JH IH0 - K AH0 L +MAGICALLY M AE1 - JH IH0 - K AH0 - L IY0 +MAGICALLY(2) M AE1 - JH IH0 K - L IY0 +MAGICIAN M AH0 - JH IH1 - SH AH0 N +MAGICIANS M AH0 - JH IH1 - SH AH0 N Z +MAGID M AE1 - JH IH0 D +MAGIE M EY1 - JH IY0 +MAGIERA M AA0 - JH IH1 - R AH0 +MAGILL M AE1 - JH AH0 L +MAGIN M AE1 - JH IH0 N +MAGINN M AE1 - JH IH0 N +MAGINNIS M AE1 - JH IH0 - N IH0 S +MAGINNIS(2) M AH0 - G IH1 - N IH0 S +MAGINOT M AE1 - JH IH0 - N AA0 +MAGINOT(2) M AE1 - JH IH0 - N AH0 T +MAGISTAD M AE1 - JH IH0 - S T AE2 D +MAGISTERIAL M AE2 - JH IH0 - S T IY1 - R IY0 - AH0 L +MAGISTRATE M AE1 - JH AH0 - S T R EY2 T +MAGISTRATE(2) M AE1 - JH IH0 - S T R EY2 T +MAGISTRATES M AE1 - JH IH0 - S T R EY2 T S +MAGISTRO M AA0 - JH IY1 - S T R OW0 +MAGLAJ M AA1 - G L AY2 +MAGLAJ'S M AA1 - G L AY2 Z +MAGLAJ'S(2) M AE1 - G L AY2 Z +MAGLAJ(2) M AE1 - G L AY2 +MAGLEV M AE1 - G L EH2 V +MAGLEY M AE1 G - L IY0 +MAGLI M AE1 G - L IY0 +MAGLIANO M AA0 G - L IY0 - AA1 - N OW0 +MAGLICA M AE1 - G L IH0 - K AH0 +MAGLIO M AE1 G - L IY0 - OW0 +MAGLIOCCO M AA0 G - L IY0 - OW1 - K OW0 +MAGLIONE M AA0 G - L IY0 - OW1 - N IY0 +MAGLIS M AE1 - G L IY0 Z +MAGMA M AE1 G - M AH0 +MAGMA'S M AE1 G - M AH0 Z +MAGNA M AE1 G - N AH0 +MAGNA'S M AE1 G - N AH0 Z +MAGNAN M AE1 G - N AH0 N +MAGNANI M AA0 G - N AA1 - N IY0 +MAGNANIMOUS M AE0 G - N AE1 - N AH0 - M AH0 S +MAGNANO M AA0 G - N AA1 - N OW0 +MAGNANT M AE1 G - N AH0 N T +MAGNATE M AE1 G - N AH0 T +MAGNATE(2) M AE1 G - N EY2 T +MAGNATES M AE1 G - N EY2 T S +MAGNAVOX M AE1 G - N AH0 - V AA0 K S +MAGNER M AE1 G - N ER0 +MAGNESIA M AE0 G - N IY1 - ZH AH0 +MAGNESITE M AE1 G - N AH0 - S AY2 T +MAGNESIUM M AE0 G - N IY1 - Z IY0 - AH0 M +MAGNESS M AH0 G - N IY1 S +MAGNET M AE1 G - N AH0 T +MAGNET'S M AE1 G - N AH0 T S +MAGNETEK M AE1 G - N EH0 - T EH2 K +MAGNETI M AE0 G - N EH1 - T IY0 +MAGNETIC M AE0 G - N EH1 - T IH0 K +MAGNETICALLY M AE0 G - N EH1 - T IH0 - K AH0 - L IY0 +MAGNETICALLY(2) M AE0 G - N EH1 - T IH0 K - L IY0 +MAGNETICS M AE0 G - N EH1 - T IH0 K S +MAGNETISM M AE1 G - N AH0 - T IH2 - Z AH0 M +MAGNETITE M AE1 G - N AH0 - T AY2 T +MAGNETIZATION M AE2 G - N AH0 - T AH0 - Z EY1 - SH AH0 N +MAGNETIZED M AE1 G - N IH0 - T AY2 Z D +MAGNETOMETER M AE2 G - N AH0 - T AA1 - M AH0 - T ER0 +MAGNETOMETERS M AE2 G - N AH0 - T AA1 - M AH0 - T ER0 Z +MAGNETRON M AE1 G - N AH0 - T R AA2 N +MAGNETS M AE1 G - N AH0 T S +MAGNIFICATION M AE2 G - N AH0 - F AH0 - K EY1 - SH AH0 N +MAGNIFICATIONS M AE2 G - N AH0 - F AH0 - K EY1 - SH AH0 N Z +MAGNIFICENT M AE0 G - N IH1 - F AH0 - S AH0 N T +MAGNIFICENT(2) M AE0 G - N IH1 - F IH0 - S AH0 N T +MAGNIFICENTLY M AE0 G - N IH1 - F AH0 - S AH0 N T - L IY0 +MAGNIFIED M AE1 G - N AH0 - F AY2 D +MAGNIFIER M AE1 G - N AH0 - F AY2 - ER0 +MAGNIFIERS M AE1 G - N AH0 - F AY2 - ER0 Z +MAGNIFIES M AE1 G - N AH0 - F AY2 Z +MAGNIFY M AE1 G - N AH0 - F AY2 +MAGNIFYING M AE1 G - N AH0 - F AY2 - IH0 NG +MAGNIN M AE1 G - N IH0 N +MAGNITOGORSK M AE0 G - N IH1 - T AH0 - G AO0 R S K +MAGNITUDE M AE1 G - N AH0 - T UW2 D +MAGNITUDES M AE1 G - N AH0 - T UW2 D Z +MAGNO M AE1 G - N OW0 +MAGNOLIA M AE0 G - N OW1 - L Y AH0 +MAGNOLIAS M AE0 G - N OW1 - L Y AH0 Z +MAGNONE M AA0 G - N OW1 - N IY0 +MAGNUM M AE1 G - N AH0 M +MAGNUS M AE1 G - N AH0 S +MAGNUSON M AE1 G - N AH0 - S AH0 N +MAGNUSSEN M AE1 G - N AH0 - S AH0 N +MAGNUSSON M AE1 G - N AH0 - S AH0 N +MAGOON M AH0 - G UW1 N +MAGOUIRK M AH0 G - W ER1 K +MAGOWAN M AA0 - G OW1 - W AA0 N +MAGPIE M AE1 G - P AY2 +MAGPIES M AE1 G - P AY2 Z +MAGRANE M AE1 - G R EY2 N +MAGRATH M AH0 - G R AE1 TH +MAGRI M AE1 - G R IY0 +MAGRINI M AA0 - G R IY1 - N IY0 +MAGRO M AE1 - G R OW0 +MAGRUDER M AH0 - G R UW1 - D ER0 +MAGS M AE1 G Z +MAGTEN M AE1 G - T EH1 N +MAGUIRE M AH0 G - W AY1 R +MAGWOOD M AE1 G - W UH2 D +MAGYAR M AE1 - G Y AA2 R +MAGYARS M AE1 - G Y AA2 R Z +MAH M AA1 +MAHABHARATA M AA0 - HH AA0 - B ER0 - AA1 - T AH0 +MAHADY M AH0 - HH AA1 - D IY0 +MAHAFFEY M AH0 - HH AE1 - F IY0 +MAHAFFY M AE1 - HH AH0 - F IY0 +MAHAL M AH0 - HH AA1 L +MAHALA M AE1 - HH AH0 - L AH0 +MAHALAH M AE1 - HH AH0 - L AH0 +MAHALIA M AH0 - HH AE1 - L IY0 - AH0 +MAHAMUD M AH0 - HH AA1 - M UH2 D +MAHAN M EY1 - AH0 N +MAHANEY M AH0 - HH EY1 - N IY0 +MAHANNAH M AH0 - HH AE1 - N AH0 +MAHANY M AE1 - HH AH0 - N IY0 +MAHAR M AE1 - HH ER0 +MAHARAJA M AA2 - HH ER0 - AA1 - ZH AH2 +MAHARAJA'S M AA0 - HH ER0 - AA1 - ZH AH2 Z +MAHARAJAHS M AA0 - HH ER0 - AA1 - JH AH0 Z +MAHARASHTRA M AA2 - HH ER0 - AA1 SH - T R AH2 +MAHARIV M AA2 - HH AA1 - R IY0 V +MAHARIVE M AA2 - HH AH0 - R IY1 V +MAHATHIR M AE1 - HH AH0 - TH ER0 +MAHATHIR(2) M AH0 - HH AE1 - TH IH2 R +MAHATHIR(3) M AH0 - HH AA1 - TH IH2 R +MAHATMA M AH0 - HH AA1 T - M AH0 +MAHAYANA M AA2 - HH AH0 - Y AA1 - N AH0 +MAHDI M AA1 - D IY0 +MAHE M EY1 - HH IY0 +MAHEN M EY1 - HH EH2 N +MAHEN(2) M EY1 - AH0 N +MAHER M AA1 R +MAHESH M AH0 - HH EH1 SH +MAHEU M AE1 - HH Y UW0 +MAHFOUZ M AA0 - F UW1 Z +MAHFOUZ'S M AA0 - F UW1 - Z IH0 Z +MAHILA M AH0 - HH IH1 - L AH0 +MAHIN M AE1 - HH IH0 N +MAHINDRA M AH0 - HH IH1 N - D R AH0 +MAHL M AA1 L +MAHLE M EY1 - HH AH0 L +MAHLER M AA1 - L ER0 +MAHLER'S M AA1 - L ER0 Z +MAHLMAN M AA1 L - M AH0 N +MAHLMANN M AA1 L - M AH0 N +MAHLSTEDT M AA1 L - S T IH0 T +MAHLUM M AA1 - L AH0 M +MAHMOOD M AE1 - M UW0 D +MAHMOOD(2) M AA0 - M UW1 D +MAHMOUD M AE1 - M UW0 D +MAHMOUD(2) M AA0 - M UW1 D +MAHMUD M AE1 - M UW0 D +MAHMUD(2) M AA0 - M UW1 D +MAHN M AE1 N +MAHNKE M AE1 NG K +MAHNKEN M AA1 NG - K AH0 N +MAHOGANY M AH0 - HH AA1 - G AH0 - N IY0 +MAHON M EY1 - AH0 N +MAHONE M AE1 - HH AH0 N +MAHONEY M AH0 - HH OW1 - N IY0 +MAHONY M AE1 - HH AH0 - N IY0 +MAHOOD M AA1 - HH UH0 D +MAHOWALD M AE1 - HH AW0 - AO0 L D +MAHR M AA1 R +MAHRT M AA1 R T +MAHTAN M AA1 - T AA2 N +MAHTAR M AA1 - T ER0 +MAHURIN M AE1 - HH Y ER0 - IH0 N +MAHVI M AA1 - V IY0 +MAHWAH M AA1 - W AH0 +MAI M AY1 +MAIA M AY1 - AH0 +MAID M EY1 D +MAID'S M EY1 D Z +MAIDA M EY1 - D AH0 +MAIDEL M EY1 - D AH0 L +MAIDEN M EY1 - D AH0 N +MAIDENFORM M EY1 - D AH0 N - F AO2 R M +MAIDENS M EY1 - D AH0 N Z +MAIDIE M EY1 - D IY0 +MAIDS M EY1 D Z +MAIELLO M AY2 - EH1 - L OW0 +MAIER M EY1 - ER0 +MAIERS M EY1 - ER0 Z +MAIETTA M AY0 - EH1 - T AH0 +MAIL M EY1 L +MAIL'S M EY1 L Z +MAILBAG M EY1 L - B AE2 G +MAILBOX M EY1 L - B AA2 K S +MAILBOXES M EY1 L - B AA2 K - S IH0 Z +MAILE M EY1 L +MAILED M EY1 L D +MAILER M EY1 - L ER0 +MAILER'S M EY1 - L ER0 Z +MAILERS M EY1 - L ER0 Z +MAILEY M EY1 - L IY0 +MAILGRAM M EY1 L - G R AE2 M +MAILGRAMS M EY1 L - G R AE2 M Z +MAILHOT M AY1 L - HH AH0 T +MAILING M EY1 - L IH0 NG +MAILINGS M EY1 - L IH0 NG Z +MAILLARD M EH0 - L AA1 R D +MAILLE M EY1 L +MAILLET M EH0 - L EH1 T +MAILLOUX M EH0 - L UW1 +MAILMAN M EY1 L - M AE2 N +MAILROOM M EY1 L - R UW2 M +MAILS M EY1 L Z +MAILSON M EY1 L - S AH0 N +MAIM M EY1 M +MAIMED M EY1 M D +MAIMING M EY1 - M IH0 NG +MAIMONE M EY1 - M OW2 N +MAIMS M EY1 M Z +MAIN M EY1 N +MAINA M EY1 - N AH0 +MAINARD M EY1 - N ER0 D +MAINE M EY1 N +MAINE'S M EY1 N Z +MAINER M EY1 - N ER0 +MAINES M EY1 N Z +MAINFRAME M EY1 N - F R EY2 M +MAINFRAMES M EY1 N - F R EY2 M Z +MAINICHI M AA2 - IH0 - N IY1 - CH IY0 +MAINLAND M EY1 N - L AE2 N D +MAINLAND(2) M EY1 N - L AH0 N D +MAINLANDER M EY1 N - L AE2 N - D ER0 +MAINLANDERS M EY1 N - L AE2 N - D ER0 Z +MAINLINE M EY1 N - L AY2 N +MAINLY M EY1 N - L IY0 +MAINO M EY1 - N OW0 +MAINOR M EY1 - N ER0 +MAINORD M EH0 - N AO1 R D +MAINS M EY1 N Z +MAINSTAY M EY1 N - S T EY2 +MAINSTAYS M EY1 N - S T EY2 Z +MAINSTREAM M EY1 N - S T R IY2 M +MAINSTREAMING M EY1 N - S T R IY2 - M IH0 NG +MAINSTREET M EY1 N - S T R IY2 T +MAINTAIN M EY0 N - T EY1 N +MAINTAINED M EY0 N - T EY1 N D +MAINTAINING M EY0 N - T EY1 - N IH0 NG +MAINTAINS M EY0 N - T EY1 N Z +MAINTENANCE M EY1 N - T AH0 - N AH0 N S +MAINTENANCE(2) M EY1 N T - N AH0 N S +MAINVILLE M EY1 N - V IH2 L +MAINWARING M EY1 N - W EH2 - R IH0 NG +MAINZ M EY1 N Z +MAIO M EY1 - OW0 +MAIOLO M AY1 - OW0 - L OW0 +MAIONE M AY1 - OW0 - N IY0 +MAIORANA M AY0 - AO0 - R AE1 - N AH0 +MAIORANO M AY1 - AO0 - R AA0 - N OW0 +MAIORINO M AY0 - AO0 - R IY1 - N OW0 +MAIR M EH1 R +MAIRE M EH1 R +MAIRS M EH1 R Z +MAIS M EY1 Z +MAISANO M AH0 - S AA1 - N OW0 +MAISCH M AY1 SH +MAISEL M AY1 - S AH0 L +MAISH M AA1 - IH0 SH +MAISIE M EY1 - Z IY0 +MAISON M EY1 - Z AH0 N +MAISONET M EH1 - S AH0 - N IH0 T +MAITLAND M EY1 T - L AH0 N D +MAITRE M EY1 - T R AH0 +MAIZE M EY1 Z +MAIZE'S M EY1 - Z AH0 Z +MAIZIERE M EY1 - Z IH2 R +MAJ M AE1 JH +MAJCHER M AE1 JH - K ER0 +MAJCHRZAK M AY1 R - Z AH0 K +MAJER M EY1 - JH ER0 +MAJERUS M AE1 - JH ER0 - IH0 S +MAJESKE M AY0 - EH1 S - K IY0 +MAJESKI M AY0 - EH1 S - K IY0 +MAJESTA M AA0 - Y EY1 - S T AH0 +MAJESTIC M AH0 - JH EH1 - S T IH0 K +MAJESTICALLY M AH0 - JH EH1 - S T IH0 - K AH0 - L IY0 +MAJESTICALLY(2) M AH0 - JH EH1 - S T IH0 K - L IY0 +MAJESTY M AE1 - JH AH0 - S T IY0 +MAJESTY'S M AE1 - JH AH0 - S T IY0 Z +MAJETTE M AH0 - ZH EH1 T +MAJEURE M AH0 - JH UW1 R +MAJEWSKI M AY0 - EH1 F S - K IY0 +MAJID M AH0 - JH IH1 D +MAJIK M AE1 - JH IH0 K +MAJKA M AY1 - K AH0 +MAJKOWSKI M AY0 - K AO1 F S - K IY0 +MAJNOON M AE2 JH - N UW1 N +MAJOR M EY1 - JH ER0 +MAJOR'S M EY1 - JH ER0 Z +MAJORED M EY1 - JH ER0 D +MAJORING M EY1 - JH ER0 - IH0 NG +MAJORITARIAN M AE2 - JH ER0 - IH0 - T EH1 - R IY0 - AH0 N +MAJORITIES M AH0 - JH AO1 - R IH0 - T IY0 Z +MAJORITY M AH0 - JH AO1 - R AH0 - T IY0 +MAJORITY'S M AH0 - JH AO1 - R AH0 - T IY0 Z +MAJOROS M AA0 - Y AO1 - R OW0 Z +MAJORS M EY1 - JH ER0 Z +MAJROOH M AE1 - JH R UW0 +MAJURE M AA0 - Y UH1 - R EY0 +MAK M AE1 K +MAK-KWAN M AE1 K - K W AA1 N +MAKAR M AE1 - K ER0 +MAKARA M AA0 - K AA1 - R AH0 +MAKAREWICZ M AH0 - K AA1 - R IH0 - V IH0 CH +MAKE M EY1 K +MAKEFIELD M EY1 K - F IY0 L D +MAKEGOOD M EY1 K - G UH2 D +MAKEGOODS M EY1 K - G UH2 D Z +MAKELA M AE1 - K IH0 - L AH0 +MAKEOVER M AE1 K - OW2 - V ER0 +MAKEPEACE M AE1 K - P IY0 S +MAKER M EY1 - K ER0 +MAKER'S M EY1 - K ER0 Z +MAKERS M EY1 - K ER0 Z +MAKERS' M EY1 - K ER0 Z +MAKES M EY1 K S +MAKESHIFT M EY1 K - SH IH2 F T +MAKEUP M EY1 K - AH2 P +MAKHOUL M AH0 - K UW1 L +MAKI M AA1 - K IY0 +MAKIN M AE1 - K IH0 N +MAKIN' M EY1 - K IH0 N +MAKINEN M AE1 - K IH0 - N AH0 N +MAKING M EY1 - K IH0 NG +MAKINGS M EY1 - K IH0 NG Z +MAKINSON M AE1 - K IH0 N - S AH0 N +MAKITA M AH0 - K IY1 - T AH0 +MAKO M AA1 - K OW0 +MAKOS M EY1 - K OW0 Z +MAKOTO M AH0 - K OW1 - T OW0 +MAKOWSKI M AH0 - K AO1 F S - K IY0 +MAKOWSKY M AH0 - K AW1 S - K IY0 +MAKRIS M AE1 - K R IH0 S +MAKRO M AE1 - K R OW0 +MAKSOUD M AE0 K - S UW1 D +MAKSYMUK M AE1 K - S IY0 - M UH2 K +MAKTOUM M AE0 K - T UW1 M +MAKTOUMS M AE0 K - T UW1 M Z +MAKUCH M AE1 - K AH0 K +MAL M AE1 L +MAL'S M AE1 L Z +MALA M AA1 - L AH0 +MALABRE M AE1 - L AH0 - B R AH0 +MALACANANG M AH0 - L AE1 - K AH0 - N AE0 NG +MALACCA M AH0 - L AE1 - K AH0 +MALACHOWSKI M AH0 - L AH0 - HH AO1 F S - K IY0 +MALADICH M AE1 - L AH0 - D IH0 K +MALADICH(2) M AE1 - L AH0 - D IH0 CH +MALADIES M AE1 - L AH0 - D IY0 Z +MALADJUSTED M AE2 L - AH0 - JH AH1 - S T IH0 D +MALADROIT M AE2 - L AH0 - D R OY1 T +MALADY M AE1 - L AH0 - D IY0 +MALAGA M AE1 - L AH0 - G AH0 +MALAGASY M AE2 - L AH0 - G AE1 - S IY0 +MALAHIDE M AE2 - L AH0 - HH AY1 D +MALAISE M AE0 - L EY1 Z +MALAK M AE1 - L AH0 K +MALAMUD M AE1 - L AH0 - M AH0 D +MALAMUGI M AE1 - L AH0 - M Y UW2 - JH IY0 +MALAMUTE M AE1 - L AH0 - M Y UW2 T +MALAN M EY1 - L AH0 N +MALAND M AE1 - L AH0 N D +MALANEY M AH0 - L EY1 - N IY0 +MALANGA M AA0 - L AA1 NG - G AH0 +MALANOWSKI M AH0 - L AH0 - N AO1 F S - K IY0 +MALAPROP M AE1 - L AH0 - P R AA2 P +MALARA M AA0 - L AA1 - R AH0 +MALARIA M AH0 - L EH1 - R IY0 - AH0 +MALARIAL M AH0 - L EH1 - R IY0 - AH0 L +MALARKEY M AH0 - L AA1 R - K IY0 +MALARY M AE1 - L AH0 - R IY0 +MALASPINA M AA0 - L AA0 - S P IY1 - N AH0 +MALATESTA M AA0 - L AA0 - T EH1 - S T AH0 +MALATHION M AH0 - L AE1 - TH IY0 - AO0 N +MALATHION(2) M AH0 - L AE1 - TH IY0 - AH0 N +MALAVE M AA0 - L AA1 - V IY0 +MALAWI M AH0 - L AA1 - W IY0 +MALAWI'S M AH0 - L AA1 - W IY0 Z +MALAY M EY1 - L EY0 +MALAYAN M AH0 - L EY1 - AH0 N +MALAYS M AH0 - L EY1 Z +MALAYSIA M AH0 - L EY1 - ZH AH0 +MALAYSIA'S M AH0 - L EY1 - ZH AH0 Z +MALAYSIAN M AH0 - L EY1 - ZH AH0 N +MALAYSIANS M AH0 - L EY1 - ZH AH0 N Z +MALBON M AE1 L - B AH0 N +MALBROUGH M AE1 L - B R AW0 +MALBURG M AE1 L - B ER0 G +MALCHOW M AA1 L - HH AW0 +MALCOLM M AE1 L - K AH0 M +MALCOLM'S M AE1 L - K AH0 M Z +MALCOLMSON M AE1 L - K AH0 M - S AH0 N +MALCOM M AE1 L - K AH0 M +MALCOMB M AE1 L - K AH0 M +MALCOMSON M AE1 L - K AH0 M - S AH0 N +MALCONTENT M AE2 L - K AH0 N - T EH1 N T +MALCONTENTS M AE2 L - K AH0 N - T EH1 N T S +MALCZEWSKI M AH0 L - CH EH1 F S - K IY0 +MALDEN M AO1 L - D AH0 N +MALDIVES M AO1 L - D AY2 V Z +MALDONADO M AE0 L - D AH0 - N AA1 - D OW0 +MALDUTIS M AA0 L - D UW1 - T IH0 S +MALE M EY1 L +MALE'S M EY1 L Z +MALEC M AA1 - L IH0 K +MALECHA M AH0 - L EH1 - CH AH0 +MALECKI M AH0 - L EH1 - K IY0 +MALEFACTOR M AE1 - L AH0 - F AE2 K - T ER0 +MALEFACTOR(2) M AE1 L - F AE2 K - T ER +MALEFACTORS(2) M AE1 L - F AE2 K - T ER0 Z +MALEK M AA1 - L EH0 K +MALENA M AE1 - L IH0 - N AH0 +MALENFANT M AA0 - L EY1 N - F AH0 N T +MALER M EY1 - L ER0 +MALERBA M AA0 - L EH1 R - B AH0 +MALES M EY1 L Z +MALESKI M AH0 - L EH1 S - K IY0 +MALESKY M AH0 - L EH1 S - K IY0 +MALEVOLENT M AH0 - L EH1 - V AH0 - L AH0 N T +MALEY M EY1 - L IY0 +MALFEASANCE M AE2 L - F IY1 - Z AH0 N S +MALFITANO M AE2 L - F IH0 - T AA1 - N OW0 +MALFORMATION M AE2 L - F AO0 R - M EY1 - SH AH0 N +MALFORMATIONS M AE2 L - F AO0 R - M EY1 - SH AH0 N Z +MALFORMED M AE2 L - F AO1 R M D +MALFUNCTION M AE0 L - F AH1 NG K - SH AH0 N +MALFUNCTIONED M AE0 L - F AH1 NG K - SH AH0 N D +MALFUNCTIONING M AE0 L - F AH1 NG K - SH AH0 N - IH0 NG +MALFUNCTIONS M AE0 L - F AH1 NG K - SH AH0 N Z +MALHOTRA M AE2 L - HH AA1 - T R AH0 +MALI M AA1 - L IY0 +MALIA M AA1 - L IY0 - AH0 +MALIBU M AE1 - L AH0 - B UW0 +MALICE M AE1 - L AH0 S +MALICE(2) M AE1 - L IH0 S +MALICIOUS M AH0 - L IH1 - SH AH0 S +MALICIOUSLY M AH0 - L IH1 - SH IH0 S - L IY0 +MALICK M AE1 - L IH0 K +MALICKI M AH0 - L IH1 - K IY0 +MALICOAT M AE1 - L IH0 - K OW2 T +MALIGN M AH0 - L AY1 N +MALIGNANCIES M AH0 - L IH1 G - N AH0 N - S IY0 Z +MALIGNANCY M AH0 - L IH1 G - N AH0 N - S IY0 +MALIGNANT M AH0 - L IH1 G - N AH0 N T +MALIGNED M AH0 - L AY1 N D +MALIK M AE1 - L IH0 K +MALIN M AE1 - L IH0 N +MALIN(2) M EY1 - L IH0 N +MALINA M AA0 - L IY1 - N AH0 +MALINAK M AE1 - L IH0 - N AE2 K +MALINDA M AA0 - L IY1 N - D AH0 +MALINDE M AE1 - L IH0 N D +MALINE M AA0 - L IY1 - N IY0 +MALINOSKI M AH0 - L IH0 - N AW1 S - K IY0 +MALINOWSKI M AH0 - L IH0 - N AO1 F S - K IY0 +MALINSKI M AH0 - L IH1 N - S K IY0 +MALIS M AA1 - L IY0 Z +MALISZEWSKI M AH0 - L IH0 - SH EH1 F S - K IY0 +MALIZIA M AH0 - L IH1 - Z IY0 - AH0 +MALKIEL M AO1 L - K IY0 - AH0 L +MALKIEWICZ M AA1 L - K AH0 - V IH0 CH +MALKIN M AE1 L - K IH0 N +MALKOVICH M AO1 L - K AH0 - V IH0 CH +MALKOWSKI M AH0 L - K AO1 F S - K IY0 +MALL M AO1 L +MALL'S M AO1 L Z +MALLARD M AE1 - L ER0 D +MALLARDS M AE1 - L ER0 D Z +MALLE M AE1 L +MALLEABILITY M AE2 - L IY0 - AH0 - B IH1 - L AH0 - T IY0 +MALLEABLE M AE1 - L IY0 - AH0 - B AH0 L +MALLEK M AE1 - L IH0 K +MALLEN M AO1 - L AH0 N +MALLER M AO1 - L ER0 +MALLERY M AE1 - L ER0 - IY0 +MALLET M AE1 - L IH0 T +MALLETON M AE1 - L AH0 - T AH0 N +MALLETON'S M AE1 - L AH0 - T AH0 N Z +MALLETT M AE1 - L IH0 T +MALLETTE M AH0 - L EH1 T +MALLEY M AE1 - L IY0 +MALLIA M AA1 - L IY0 - AH0 +MALLICK M AE1 - L IH0 K +MALLICOAT M AE1 - L IH0 - K OW0 T +MALLIE M AO1 - L IY0 +MALLIGHTCO M AE2 - L AY1 T - K OW0 +MALLIN M AE1 - L IH0 N +MALLINCKRODT M AE1 - L IH0 NG - K R AA2 T +MALLINGER M AO1 - L IH0 - NG ER0 +MALLINSON M AE1 - L IH0 N - S AH0 N +MALLIS M AE1 - L IH0 S +MALLISON M AE1 - L IH0 - S AH0 N +MALLO M AA1 - L OW0 +MALLOCH M AE1 - L AH0 K +MALLON M AE1 - L AH0 N +MALLONEE M AE0 - L AH0 - N IY1 +MALLORY M AE1 - L ER0 - IY0 +MALLOW M AE1 - L OW0 +MALLOWS M AE1 - L OW0 Z +MALLOY M AH0 - L OY1 +MALLOZZI M AE2 - L AA1 - Z IY0 +MALLRAT M AO1 L - R AE0 T +MALLRATS M AO1 L - R AE0 T S +MALLS M AO1 L Z +MALLY M AE1 - L IY0 +MALM M AA1 M +MALMBERG M AA1 L M - B ER0 G +MALMGREN M AE1 L M - G R EH0 N +MALMQUIST M AE1 L M - K W IH0 S T +MALMSTROM M AE1 L M S - T R AH0 M +MALNAR M AE1 L - N ER0 +MALNOURISH M AE0 L - N ER1 - IH0 SH +MALNOURISHED M AE0 L - N ER1 - IH0 SH T +MALNUTRITION M AE2 L - N UW0 - T R IH1 - SH AH0 N +MALO M AA1 - L OW0 +MALON M AE1 - L AH0 N +MALONE M AH0 - L OW1 N +MALONE'S M AH0 - L OW1 N Z +MALONEY M AH0 - L OW1 - N IY0 +MALOOF M AH0 - L UW1 F +MALOSOVICH M AH0 - L AO1 - S AH0 - V IH0 CH +MALOTT M AH0 - L AA1 T +MALOUF M AE1 - L OW0 F +MALOY M AE1 - L OY0 +MALPASS M AE1 L - P AH0 S +MALPHRUS M AE1 L - F R AH0 S +MALPRACTICE M AE0 L - P R AE1 K - T AH0 S +MALPRACTICE(2) M AE0 L - P R AE1 K - T IH0 S +MALRITE M AE1 L - R AY2 T +MALRITE'S M AE1 L - R AY2 T S +MALSOM M AE1 L - S AH0 M +MALSON M AE1 L - S AH0 N +MALSTROM M AE1 L - S T R AH0 M +MALT M AO1 L T +MALTA M AO1 L - T AH0 +MALTAIS M AH0 L - T EY1 +MALTASE M AO1 L - T EY2 S +MALTBIE M AE1 L T - B IY0 +MALTBY M AE1 L T - B IY0 +MALTED M AO1 L - T AH0 D +MALTER M AO1 L - T ER0 +MALTESE M AO0 L - T IY1 Z +MALTING M AO1 L - T IH0 NG +MALTOSE M AO1 L - T OW0 S +MALTREATED M AE0 L - T R IY1 - T IH0 D +MALTREATMENT M AE0 L - T R IY1 T - M AH0 N T +MALTS M AO1 L T S +MALTZ M AE1 L T S +MALUEG M AE1 - L UH0 G +MALUKEN M AE2 - L UW1 - K IH0 N +MALUSO M AH0 - L UW1 - S OW0 +MALVA M AA1 L - V AH0 +MALVAL M AA1 L - V AA0 L +MALVEAUX M AE0 L - V OW1 +MALVERN M AE1 L - V ER0 N +MALVIE M AO1 L - V IY0 +MALVIN M AE1 L - V IH0 N +MALVINA M AA0 L - V IY1 - N AH0 +MALVINAS M AO0 L - V IY1 - N AH0 S +MALY M EY1 - L IY0 +MALZAHN M AE1 L - Z AH0 N +MAM M AA1 M +MAM(2) EH1 - M EY1 - EH1 M +MAMA M AA1 - M AH0 +MAMA'S M AA1 - M AH0 Z +MAMARONECK M AH0 - M EH1 - R AH0 - N EH0 K +MAMAS M AA1 - M AH0 Z +MAMBA M AA1 M - B AH0 +MAMBAS M AA1 M - B AH0 Z +MAMBO M AA1 M - B OW0 +MAME M EY1 M +MAMELUKE M AE1 - M AH0 - L UW2 K +MAMET M AE1 - M AH0 T +MAMET'S M AE1 - M AH0 T S +MAMIE M EY1 - M IY0 +MAMIS M AE1 - M IH0 S +MAMMA M AA1 - M AH0 +MAMMAL M AE1 - M AH0 L +MAMMALIAN M AH0 - M EY1 - L IY0 - AH0 N +MAMMALIAN(2) M AH0 - M EY1 - L Y AH0 N +MAMMALLIKE M AE1 - M AH0 L - L AY2 K +MAMMALS M AE1 - M AH0 L Z +MAMMARY M AE1 - M ER0 - IY0 +MAMMEN M AE1 - M AH0 N +MAMMOGRAM M AE1 - M OW0 - G R AE2 M +MAMMOGRAMS M AE1 - M OW0 - G R AE2 M Z +MAMMOGRAPHY M AH0 - M AA1 - G R AH0 - F IY0 +MAMMOTH M AE1 - M AH0 TH +MAMMOTHS M AE1 - M AH0 TH S +MAMONE M AH0 - M OW1 N +MAMSTED M AE1 M - S T EH0 D +MAMULA M AE1 - M Y UW0 - L AH0 +MAN M AE1 N +MAN'S M AE1 N Z +MANA M AA1 - N AH0 +MANAC M AE1 - N AE0 K +MANAFORT M AE1 - N AH0 - F AO0 R T +MANAGE M AE1 - N AH0 JH +MANAGE(2) M AE1 - N IH0 JH +MANAGEABLE M AE1 - N IH0 - JH AH0 - B AH0 L +MANAGED M AE1 - N AH0 JH D +MANAGED(2) M AE1 - N IH0 JH D +MANAGEMENT M AE1 - N AH0 JH - M AH0 N T +MANAGEMENT'S M AE1 - N IH0 JH - M AH0 N T S +MANAGEMENT(2) M AE1 - N IH0 JH - M AH0 N T +MANAGEMENTS M AE1 - N IH0 JH - M AH0 N T S +MANAGEMENTS' M AE1 - N IH0 JH - M AH0 N T S +MANAGER M AE1 - N AH0 - JH ER0 +MANAGER'S M AE1 - N IH0 - JH ER0 Z +MANAGER(2) M AE1 - N IH0 - JH ER0 +MANAGERIAL M AE2 - N IH0 - JH IH1 - R IY0 - AH0 L +MANAGERS M AE1 - N AH0 - JH ER0 Z +MANAGERS' M AE1 - N AH0 - JH ER0 Z +MANAGERS(2) M AE1 - N IH0 - JH ER0 Z +MANAGES M AE1 - N IH0 - JH IH0 Z +MANAGING M AE1 - N AH0 - JH IH0 NG +MANAGUA M AH0 - N AA1 - G W AH0 +MANAGUA'S M AH0 - N AA1 - G W AH0 Z +MANAHAN M AE1 - N AH0 - HH AE0 N +MANAK M AE1 - N AH0 K +MANALO M AA0 - N AA1 - L OW0 +MANAMA M AE1 - N AH0 - M AH0 +MANARD M AE1 - N ER0 D +MANAS M AA1 - N AH0 Z +MANASCO M AA0 - N AA1 - S K OW0 +MANASION M AE2 - N AH0 - SH AH0 N +MANASION'S M AE2 - N AH0 - SH AH0 N Z +MANASSAS M AH0 - N AA1 - S AH0 S +MANATEE M AE1 - N AH0 - T IY2 +MANATEES M AE1 - N AH0 - T IY2 Z +MANATT M AE1 - N AH0 T +MANBECK M AE1 N - B EH2 K +MANCE M AE1 N S +MANCEBO M AA0 N - CH EH1 - B OW0 +MANCERA M AE0 N - S EH1 - R AH0 +MANCHA M AA1 N - K AH0 +MANCHESTER M AE1 N - CH EH2 - S T ER0 +MANCHU M AE1 N - CH UW0 +MANCHURIA M AE0 N - CH UH1 - R IY0 - AH0 +MANCIL M AE1 N - S IH0 L +MANCILLA M AE2 N - S IH1 - L AH0 +MANCILLAS M AH0 N - S IH1 - L AH0 Z +MANCINELLI M AA0 N - CH IY0 - N EH1 - L IY0 +MANCINI M AA0 N - CH IY1 - N IY0 +MANCINO M AA0 N - CH IY1 - N OW0 +MANCO M AE1 NG - K OW0 +MANCUSI M AA0 N - K UW1 - S IY0 +MANCUSO M AE2 NG - K Y UW1 - S OW0 +MANDA M AE1 N - D AH0 +MANDALAY M AE1 N - D AH0 - L EY2 +MANDALIT M AE1 N - D AH0 - L IH2 T +MANDALITE M AE1 N - D AH0 - L AY2 T +MANDAMUS M AE0 N - D EY1 - M AH0 S +MANDARIN M AE1 N - D ER0 - AH0 N +MANDARINO M AA0 N - D AA0 - R IY1 - N OW0 +MANDARINS M AE1 N - D ER0 - AH0 N Z +MANDATE M AE1 N - D EY2 T +MANDATED M AE1 N - D EY2 - T IH0 D +MANDATES M AE1 N - D EY2 T S +MANDATING M AE1 N - D EY2 - T IH0 NG +MANDATO M AA0 N - D AA1 - T OW0 +MANDATORY M AE1 N - D AH0 - T AO2 - R IY0 +MANDEL M AE1 N - D AH0 L +MANDELA M AE2 N - D EH1 - L AH0 +MANDELA'S M AE2 N - D EH1 - L AH0 Z +MANDELBAUM M AE1 N - D AH0 L - B AW2 M +MANDELL M AE1 N - D AH0 L +MANDELLA M AE2 N - D EH1 - L AH0 +MANDER M AE1 N - D ER0 +MANDERS M AE1 N - D ER0 Z +MANDERSCHEID M AE1 N - D ER0 - SH AY2 D +MANDERSON M AE1 N - D ER0 - S AH0 N +MANDEVILLE M AE1 N - D AH0 - V IH2 L +MANDIBLE M AE1 N - D AH0 - B AH0 L +MANDIBLE(2) M AE1 N - D IH0 - B AH0 L +MANDICH M AE1 N - D IH0 K +MANDIE M AE1 N - D IY0 +MANDIGO M AA0 N - D IY1 - G OW0 +MANDL M AE1 N - D AH0 L +MANDLE M AE1 N - D AH0 L +MANDLER M AE1 N D - L ER0 +MANDOLIN M AE1 N - D AH0 - L IH2 N +MANDRACCHIA M AE2 N - D R AE1 - K IY0 - AH0 +MANDRAKE M AE1 N - D R EY2 K +MANDRELL M AE1 N - D R AH0 L +MANDRESH M AE0 N - D R EH1 SH +MANDRILL M AE1 N - D R IH0 L +MANDT M AE1 N T +MANDUJANO M AA0 N - D UW0 - Y AA1 - N OW0 +MANDY M AE1 N - D IY0 +MANE M EY1 N +MANED M EY1 N D +MANELLA M AH0 - N EH1 - L AH0 +MANER M EY1 - N ER0 +MANERS M EY1 - N ER0 Z +MANES M EY1 N Z +MANESS M AA1 - N IH0 S +MANET M AE0 - N EY1 +MANET(2) M AA0 - N EY1 +MANETTE M AH0 - N EH1 T +MANEUVER M AH0 - N UW1 - V ER0 +MANEUVERABILITY M AH0 - N UW2 - V ER0 - AH0 - B IH1 - L IH0 - T IY0 +MANEUVERABILITY(2) M AH0 - N UW2 - V R AH0 - B IH1 - L IH0 - T IY0 +MANEUVERABLE M AH0 - N UW1 - V ER0 - AH0 - B AH0 L +MANEUVERED M AH0 - N UW1 - V ER0 D +MANEUVERING M AH0 - N UW1 - V ER0 - IH0 NG +MANEUVERINGS M AH0 - N UW1 - V ER0 - IH0 NG Z +MANEUVERS M AH0 - N UW1 - V ER0 Z +MANEVAL M AA0 - N EY0 - V AE1 L +MANEY M EY1 - N IY0 +MANFORD M AE1 N - F ER0 D +MANFRA M AE1 N - F R AH0 +MANFRE M AE1 N - F ER0 +MANFRED M AE1 N - F R IH0 D +MANFREDI M AA0 N - F R EH1 - D IY0 +MANFREDO M AA0 N - F R EY1 - D OW0 +MANFULLY M AE1 N - F AH0 - L IY0 +MANG M AE1 NG +MANGA M AE1 NG - G AH0 +MANGAN M AE1 NG - G AH0 N +MANGANARO M AA0 NG - G AA0 - N AA1 - R OW0 +MANGANELLO M AA0 NG - G AA0 - N EH1 - L OW0 +MANGANESE M AE1 NG - G AH0 - N IY2 Z +MANGANIELLO M AA0 NG - G AA0 - N IY0 - EH1 - L OW0 +MANGANO M AA0 NG - G AA1 - N OW0 +MANGAS M AE1 NG - G AH0 Z +MANGE M EY1 N JH +MANGEL M EY1 NG - G AH0 L +MANGELS M EY1 NG - G AH0 L Z +MANGEMENT M EY1 N JH - M AH0 N T +MANGEN M AE1 - NG AH0 N +MANGER M EY1 N - JH ER0 +MANGES M EY1 N - JH IH0 Z +MANGHAM M AE1 NG - G AH0 M +MANGIAPANE M AE1 N - JH IY0 - AH0 - P EY2 N +MANGIARACINA M AA1 N - JH ER0 - AA0 - CH IY0 - N AH0 +MANGIERI M AA0 NG - G IH1 - R IY0 +MANGIN M AE1 NG - G IH0 N +MANGINE M AA0 NG - G IY1 - N IY0 +MANGINI M AA0 NG - G IY1 - N IY0 +MANGINO M AA0 NG - G IY1 - N OW0 +MANGIONE M AA0 N - JH OW1 - N IY0 +MANGLAPUS M AE1 NG - L AH0 - P AH0 S +MANGLE M AE1 NG - G AH0 L +MANGLED M AE1 NG - G AH0 L D +MANGLING M AE1 NG - G AH0 - L IH0 NG +MANGLING(2) M AE1 NG - G L IH0 NG +MANGO M AE1 NG - G OW0 +MANGOES M AE1 NG - G OW0 Z +MANGOLD M AE1 N - G OW2 L D +MANGONE M AA0 NG - G OW1 - N IY0 +MANGOPE M AE0 NG - G OW1 - P EY2 +MANGOSTEEN M AE1 NG - G OW0 - S T IY2 N +MANGOSTEENS M AE1 NG - G OW0 - S T IY2 N Z +MANGOSUTHU M AE2 NG - G AH0 - S AH1 - TH UW0 +MANGROVE M AE1 N - G R OW2 V +MANGROVE(2) M AE1 NG - G R OW2 V +MANGRUM M AE1 NG - G R AH0 M +MANGUAL M AE1 N - G AH0 L +MANGUM M AE1 NG - G AH0 M +MANGUS M AE1 NG - G IH0 S +MANGY M EY1 N - JH IY0 +MANHANDLE M AE1 N - HH AE2 N - D AH0 L +MANHANDLED M AE1 N - HH AE2 N - D AH0 L D +MANHART M AE1 N - HH AA2 R T +MANHASSET M AE0 N - HH AE1 - S EH0 T +MANHATTAN M AE0 N - HH AE1 - T AH0 N +MANHATTAN'S M AE0 N - HH AE1 - T AH0 N Z +MANHEIM M AE1 N - HH AY0 M +MANHOLE M AE1 N - HH OW2 L +MANHOOD M AE1 N - HH UH2 D +MANHUNT M AE1 N - HH AH2 N T +MANI M AA1 - N IY0 +MANIA M EY1 - N IY0 - AH0 +MANIAC M EY1 - N IY0 - AE2 K +MANIACAL M AH0 - N AY1 - AH0 - K AH0 L +MANIACI M AA0 - N IY0 - AA1 - CH IY0 +MANIACS M EY1 - N IY0 - AE2 K S +MANIATIS M AE1 - N IY0 - AA1 - T IH0 S +MANIC M AE1 - N IH0 K +MANICURE M AE1 - N IH0 - K Y ER0 +MANICURED M AE1 - N IH0 - K Y ER0 D +MANICURIST M AE1 - N IH0 - K Y ER2 - IH0 S T +MANIER M EH1 - N IY0 - ER0 +MANIFEST M AE1 - N AH0 - F EH2 S T +MANIFESTATION M AE2 - N AH0 - F EH0 - S T EY1 - SH AH0 N +MANIFESTATIONS M AE2 - N AH0 - F EH0 - S T EY1 - SH AH0 N Z +MANIFESTED M AE1 - N AH0 - F EH2 - S T AH0 D +MANIFESTING M AE1 - N AH0 - F EH2 - S T IH0 NG +MANIFESTLY M AE1 - N AH0 - F EH0 S T - L IY0 +MANIFESTO M AE2 - N AH0 - F EH1 - S T OW2 +MANIFESTO(2) M AE2 - N IH0 - F EH1 - S T OW2 +MANIFESTS M AE1 - N AH0 - F EH2 S T S +MANIFESTS(2) M AE1 - N AH0 - F EH2 S S +MANIFESTS(3) M AE1 - N AH0 - F EH2 S +MANIFOLD M AE1 - N AH0 - F OW2 L D +MANIFOLD(2) M AE1 - N IH0 - F OW2 L D +MANIGAT M AE1 - N IH0 - G AE0 T +MANIGAULT M AE1 - N IH0 - G AO0 L T +MANIGO M AA0 - N IY1 - G OW0 +MANILA M AH0 - N IH1 - L AH0 +MANILA'S M AH0 - N IH1 - L AH0 Z +MANILLA M AH0 - N IH1 - L AH0 +MANILOW M AE1 - N IH0 - L OW0 +MANIOC M AE1 - N IY0 - AA2 K +MANION M AA0 - N Y AO1 N +MANIPLES M AE1 - N AH0 - P AH0 L Z +MANIPLES(2) M AE1 - N IH0 - P AH0 L Z +MANIPULATE M AH0 - N IH1 - P Y AH0 - L EY2 T +MANIPULATED M AH0 - N IH1 - P Y AH0 - L EY2 - T IH0 D +MANIPULATES M AH0 - N IH1 - P Y AH0 - L EY2 T S +MANIPULATING M AH0 - N IH1 - P Y AH0 - L EY2 - T IH0 NG +MANIPULATION M AH0 - N IH2 - P Y AH0 - L EY1 - SH AH0 N +MANIPULATIONS M AH0 - N IH2 - P Y AH0 - L EY1 - SH AH0 N Z +MANIPULATIVE M AH0 - N IH1 - P Y AH0 - L EY2 - T IH0 V +MANIPULATOR M AH0 - N IH1 - P Y AH0 - L EY2 - T ER0 +MANIPULATORS M AH0 - N IH1 - P Y AH0 - L EY2 - T ER0 Z +MANIS M AE1 - N IH0 S +MANISCALCO M AA0 - N IY0 - S K AA1 L - K OW0 +MANISCHEWITZ M AE2 - N IH0 - SH EH1 - V IH0 T S +MANISH M AE1 - N IH0 SH +MANITOBA M AE2 - N IH0 - T OW1 - B AH0 +MANITOWOC M AE1 - N IH0 - T AH0 - W AA0 K +MANJACA M AA0 N - JH AA1 - K AH0 +MANJARREZ M AA0 N - Y AA1 - R EH0 Z +MANK M AE1 NG K +MANKA M AE1 NG - K AH0 +MANKATO M AE0 N - K AA1 - T OW0 +MANKE M AE1 NG K +MANKER M AE1 NG - K ER0 +MANKEY M AE1 N - K IY2 +MANKIEWICZ M AE1 NG - K IH0 - W IH0 T S +MANKILLER M AE1 N - K IH2 - L ER0 +MANKIN M AE1 NG - K IH0 N +MANKIND M AE1 N - K AY1 N D +MANKIND'S M AE1 N - K AY1 N D Z +MANKINDS M AE1 N - K AY1 N D Z +MANKINS M AE1 NG - K IH0 N Z +MANKO M AE1 NG - K OW0 +MANKOWSKI M AH0 NG - K AO1 F S - K IY0 +MANLEY M AE1 N - L IY0 +MANLOVE M AE1 N - L AH2 V +MANLY M AE1 N - L IY0 +MANMADE M AE1 N - M EY1 D +MANN M AE1 N +MANN'S M AE1 N Z +MANNA M AE1 - N AH0 +MANNARINO M AE1 - N ER0 - IY0 - N OW0 +MANNE M AE1 N +MANNED M AE1 N D +MANNELLA M AA0 - N EH1 - L AH0 +MANNEN M AE1 - N AH0 N +MANNEQUIN M AE1 - N AH0 - K IH0 N +MANNEQUINS M AE1 - N AH0 - K IH0 N Z +MANNER M AE1 - N ER0 +MANNERED M AE1 - N ER0 D +MANNERING M AE1 - N ER0 - IH0 NG +MANNERISM M AE1 - N ER0 - IH2 - Z AH0 M +MANNERISMS M AE1 - N ER0 - IH2 - Z AH0 M Z +MANNERIST M AE1 - N ER0 - AH0 S T +MANNERIST(2) M AE1 - N ER0 - IH0 S T +MANNERS M AE1 - N ER0 Z +MANNES M AE1 N Z +MANNESMANN M AE1 - N AH0 S - M AH0 N +MANNEY M AE1 - N IY0 +MANNHEIM M AE1 N - HH AY0 M +MANNI M AE1 - N IY0 +MANNIE M AE1 - N IY0 +MANNINA M AE1 - N IH0 - N AH0 +MANNINEN M AE1 - N IH0 - N AH0 N +MANNING M AE1 - N IH0 NG +MANNING'S M AE1 - N IH0 NG Z +MANNINO M AE1 - N IY0 - N OW0 +MANNION M AE1 - N Y AH0 N +MANNIS M AE1 - N IH0 S +MANNIX M AE1 - N IH0 K S +MANNO M AE1 - N OW0 +MANNON M AE1 - N AH0 N +MANNS M AE1 N Z +MANNY M AE1 - N IY0 +MANNY'S M AE1 - N IY0 Z +MANO M AA1 - N OW0 +MANOCCHIO M AA0 - N OW1 - K IY0 - OW0 +MANOFF M AE1 - N AO0 F +MANOLIS M AE1 - N AH0 - L IH0 S +MANON M AA0 - N AO1 N +MANOOGIAN M AH0 - N UW1 - JH IY0 - AH0 N +MANOR M AE1 - N ER0 +MANORS M AE1 - N ER0 Z +MANOS M EY1 - N OW0 Z +MANPOWER M AE1 N - P AW2 - ER0 +MANPOWER'S M AE1 N - P AW2 - ER0 Z +MANRING M AE1 N - R IH2 NG +MANRIQUE M AH0 N - R IY1 K +MANRIQUEZ M AA0 N - R IY1 - K W EH0 Z +MANRY M AE1 N - R IY0 +MANS M AE1 N Z +MANSEAU M AH0 N - S OW1 +MANSEL M AE1 N - S AH0 L +MANSELL M AE1 N - S AH0 L +MANSER M AE1 N - S ER0 +MANSFIELD M AE1 N Z - F IY2 L D +MANSHIP M AE1 N - SH IH2 P +MANSION M AE1 N - SH AH0 N +MANSIONS M AE1 N - CH AH0 N Z +MANSKE M AE1 N S K +MANSKER M AE1 N - S K ER0 +MANSLAUGHTER M AE1 N - S L AO2 - T ER0 +MANSO M AE1 N - S OW0 +MANSON M AE1 N - S AH0 N +MANSON'S M AE1 N - S AH0 N Z +MANSOUR M AE1 N - S ER0 +MANSUETO M AE0 N - S W EY1 - T OW0 +MANSUR M AE1 N - S ER0 +MANTA M AE1 N - T AH0 +MANTEER M AE2 N - T IY1 R +MANTEI M AE1 N - T AY0 +MANTEL M AE1 N - T AH0 L +MANTELL M AE0 N - T EH1 L +MANTER M AE1 N - T ER0 +MANTERNACH M AE1 N - T ER0 - N AH0 K +MANTEUFEL M AE1 N - T OY0 - F AH0 L +MANTEY M AE1 N - T IY0 +MANTHE M AE1 N DH +MANTHEI M AE1 N - DH AY0 +MANTHEY M AE1 N - TH IY0 +MANTIA M AA1 N - SH AH0 +MANTILLA M AE0 N - T IH1 - L AH0 +MANTIONE M AA0 N - T IY0 - OW1 - N IY0 +MANTIS M AE1 N - T IH0 S +MANTLE M AE1 N - T AH0 L +MANTLE'S M AE1 N - T AH0 L Z +MANTLES M AE1 N - T AH0 L Z +MANTON M AE1 N - T AH0 N +MANTOOTH M AE1 N - T UW2 TH +MANTRA M AE1 N - T R AH0 +MANTUA M AE1 N - CH UW0 - AH0 +MANTZ M AE1 N T S +MANU M AA1 - N UW2 +MANUAL M AE1 - N Y UW0 - AH0 L +MANUALLY M AE1 - N Y UW0 - AH0 - L IY0 +MANUALS M AE1 - N Y UW0 - AH0 L Z +MANUCHER M AE1 - N UW0 - K ER0 +MANUEL M AA0 N - W EH1 L +MANUELA M AE0 N - W EY1 - L AH0 +MANUELE M AE1 - N UH0 L +MANUFACTURE M AE2 - N Y AH0 - F AE1 K - CH ER0 +MANUFACTURED M AE2 - N Y AH0 - F AE1 K - CH ER0 D +MANUFACTURER M AE2 - N Y AH0 - F AE1 K - CH ER0 - ER0 +MANUFACTURER'S M AE2 - N Y AH0 - F AE1 K - CH ER0 - ER0 Z +MANUFACTURERS M AE2 - N Y AH0 - F AE1 K - CH ER0 - ER0 Z +MANUFACTURERS' M AE2 - N AH0 - F AE1 K - CH ER0 - ER0 Z +MANUFACTURES M AE2 - N Y AH0 - F AE1 K - CH ER0 Z +MANUFACTURING M AE2 - N Y AH0 - F AE1 K - CH ER0 - IH0 NG +MANUFACTURING'S M AE2 - N Y AH0 - F AE1 K - CH ER0 - IH0 NG Z +MANURE M AH0 - N UH1 R +MANUS M EY1 - N IH0 S +MANUSCRIPT M AE1 - N Y AH0 - S K R IH2 P T +MANUSCRIPTS M AE1 - N Y AH0 - S K R IH2 P T S +MANVEL M AE1 N - V AH0 L +MANVIL M AE1 N - V IH0 L +MANVILLE M AE1 N - V IH0 L +MANVILLE'S M AE1 N - V IH0 L Z +MANWARING M AE1 N - W EH2 - R IH0 NG +MANWARREN M AH0 N - W AO1 - R AH0 N +MANWEB M AE1 N - W EH2 B +MANWELL M AE1 N - W EH2 L +MANWILLER M AE1 N - W IH2 - L ER0 +MANX M AE1 NG K S +MANY M EH1 - N IY0 +MANZ M AE1 N Z +MANZA M AA0 N - Z AH0 +MANZANARES M AA0 N - Z AA0 - N AA1 - R EH0 S +MANZANILLA M AE2 N - Z AH0 - N IH1 - L AH0 +MANZANO M AA0 N - Z AA1 - N OW0 +MANZELLA M AE2 N - Z EH1 - L AH0 +MANZER M AE1 N - Z ER0 +MANZI M AE1 N - Z IY0 +MANZI'S M AE1 N - Z IY0 Z +MANZIONE M AA0 N - Z IY0 - OW1 - N IY0 +MANZO M AE1 N - Z OW0 +MAO M AW1 +MAO'S M AW1 Z +MAOIST M AW1 - IH0 S T +MAOISTS M AW1 - IH0 S T S +MAOISTS(2) M AW1 - IH0 S S +MAOISTS(3) M AW1 - IH0 S +MAORI M AW1 - R IY0 +MAORIS M EY1 - ER0 - IH0 S +MAORIS(2) M AW1 - R IY0 Z +MAP M AE1 P +MAPCO M AE1 P - K OW0 +MAPEL M AE1 - P AH0 L +MAPES M EY1 P S +MAPI M AE1 - P IY0 +MAPI'S M AE1 - P IY0 Z +MAPLE M EY1 - P AH0 L +MAPLES M EY1 - P AH0 L Z +MAPLEWOOD M EY1 - P AH0 L - W UH2 D +MAPP M AE1 P +MAPPED M AE1 P T +MAPPING M AE1 - P IH0 NG +MAPPLETHORPE M AE1 - P AH0 L - TH AO0 R P +MAPS M AE1 P S +MAPUTO M AH0 - P UW1 - T OW0 +MAPUTO'S M AH0 - P UW1 - T OW0 Z +MAQUILA M AH0 K - W IY1 - L AH0 +MAQUILADORA M AE2 - K W IH0 - L AE1 - D ER0 - AH0 +MAQUILADORAS M AE0 - K IY2 - Y AH0 - D AO1 - R AH0 S +MAQUILAS M AE1 - K W AH0 - L AH0 S +MAR M AA1 R +MARA M AA1 - R AH0 +MARABELLA M AE2 - R AH0 - B EH1 - L AH0 +MARABLE M EH1 - R AH0 - B AH0 L +MARABOU M EH1 - R AH0 - B UW2 +MARACLE M AA1 - R AH0 - K AH0 L +MARADONA M AA2 - R AH0 - D OW1 - N AH2 +MARADONA'S M AA2 - R AH0 - D OW1 - N AH2 Z +MARADONNA M AA2 - R AH0 - D OW1 - N AH2 +MARADONNA'S M AA2 - R AH0 - D OW1 - N AH2 Z +MARAFAT M EH1 - R AH0 - F AE0 T +MARAIS M EH2 - R EY1 +MARAK M AE1 - R AH0 K +MARALINA M AA0 - R AA0 - L IY1 - N AH0 +MARALINE M AA0 - R AA0 - L IY1 - N IY0 +MARAN M AA0 - R AA1 N +MARANDA M ER0 - AE1 N - D AH0 +MARANDO M ER0 - AE1 N - D OW0 +MARANISS M ER0 - AE1 - N IH0 S +MARANO M AA0 - R AA1 - N OW0 +MARANON M EH1 - R AH0 - N AA0 N +MARANTETTE M EH1 - R AH0 N - T EH2 T +MARANTO M ER0 - AE1 N - T OW0 +MARANTZ M AE1 - R AH0 N T S +MARANVILLE M AA0 - R AA1 N - V IH0 L +MARAS M AA1 - R AH0 Z +MARASCHINO M AE2 - R AH0 S - K IY1 - N OW0 +MARASCO M AA0 - R AA1 - S K OW0 +MARASEK M ER0 - AA1 - S EH0 K +MARASH M AA1 - R AH0 SH +MARASH' M AA1 - R AH0 SH +MARASH'S M AA1 - R AH0 - SH IH0 S +MARATHI M AH0 - R AA1 - T IY0 +MARATHON M EH1 - R AH0 - TH AA2 N +MARATHONS M EH1 - R AH0 - TH AA2 N Z +MARAUD M ER0 - AO1 D +MARAUDER M ER0 - AO1 - D ER0 +MARAUDERS M ER0 - AO1 - D ER0 Z +MARAUDING M ER0 - AO1 - D IH0 NG +MARAVILLA M AA0 - R AA0 - V IH1 - L AH0 +MARBACH M AA1 R - B AA2 K +MARBELLA M AA2 R - B EH1 - L AH0 +MARBERRY M AA1 R - B EH2 - R IY0 +MARBIL M AA1 R - B IH0 L +MARBLE M AA1 R - B AH0 L +MARBLE'S M AA1 R - B AH0 L Z +MARBLED M AA1 R - B AH0 L D +MARBLEHEAD M AA1 R - B AH0 L - HH EH2 D +MARBLES M AA1 R - B AH0 L Z +MARBOD M AA1 R - B AA0 D +MARBRY M AA1 R - B R IY0 +MARBURGER M AA1 R - B ER0 - G ER0 +MARBURY M AA1 R - B EH2 - R IY0 +MARBUT M AA1 R - B AH0 T +MARC M AA1 R K +MARCADE M AA1 R - K EY1 D +MARCANO M AA0 R - K AA1 - N OW0 +MARCANTEL M AA0 R - K AA0 N - T EH1 L +MARCANTONIO M AA2 R - K AH0 N - T OW1 - N IY0 - OW0 +MARCEAU M AA0 R - S OW1 +MARCEAUX M AA0 R - S OW1 +MARCECA M AA0 R - S EH1 - K AH0 +MARCEL M AA0 R - S EH1 L +MARCELA M AA0 R - CH EH1 - L AH0 +MARCELIA M AA0 R - CH EH1 - L IY0 - AH0 +MARCELINO M AA0 R - CH EH0 - L IY1 - N OW0 +MARCELL M AA0 R - S EY1 L +MARCELLA M AA0 R - S EH1 - L AH0 +MARCELLE M AA0 R - S EH1 L +MARCELLI M AA0 R - CH EH1 - L IY0 +MARCELLINA M AA0 R - CH EH0 - L IY1 - N AH0 +MARCELLINE M AA0 R - CH EH0 - L IY1 - N IY0 +MARCELLINO M AA0 R - CH EH0 - L IY1 - N OW0 +MARCELLO M AA2 R - S EH1 - L OW0 +MARCELLUS M AA0 R - S EH1 - L AH0 S +MARCELO M AA0 R - CH EH1 - L OW0 +MARCESSA M AA0 R - S EH1 - S AH0 +MARCESSA'S M AA0 R - S EH1 - S AH0 Z +MARCH M AA1 R CH +MARCH'S M AA1 R - CH IH0 Z +MARCHAK M AA1 R - CH AH0 K +MARCHAL M AA1 R - CH AH0 L +MARCHAND M AA0 R K - HH AE1 N D +MARCHAND(2) M AA0 R - CH AE1 N D +MARCHANT M AA1 R - CH AH0 N T +MARCHBANK M AA1 R CH - B AE2 NG K +MARCHBANKS M AA1 R CH - B AE2 NG K S +MARCHE M AA1 R SH +MARCHED M AA1 R CH T +MARCHENKO M AA2 R - CH EH1 N - K OW0 +MARCHER M AA1 R - CH ER0 +MARCHERS M AA1 R - CH ER0 Z +MARCHES M AA1 R - CH IH0 Z +MARCHESANI M AA0 R - K EH0 - S AA1 - N IY0 +MARCHESANO M AA0 R - K EH0 - S AA1 - N OW0 +MARCHESCHI M AA0 R - CH EH1 - SH IY0 +MARCHESE M AA0 R - K IY1 - Z IY0 +MARCHESI M AA0 R - K EH1 - S IY0 +MARCHESSAULT M AA1 R - SH IH0 - S OW0 +MARCHETTA M AA0 R - K EH1 - T AH0 +MARCHETTI M AA0 R - K EH1 - T IY0 +MARCHEWKA M ER0 - CH Y UW1 - K AH0 +MARCHI M AA1 R - K IY0 +MARCHING M AA1 R - CH IH0 NG +MARCHINI M AA0 R - K IY1 - N IY0 +MARCHINKO M AA0 R - CH IY1 NG - K OW0 +MARCHIO M AA1 R - K IY0 - OW0 +MARCHIONE M AA0 R - K IY0 - OW1 - N IY0 +MARCHITA M AA0 R - K IY1 - T AH0 +MARCHITTO M AA0 R - K IY1 - T OW0 +MARCHMAN M AA1 R K - M AH0 N +MARCI M AA1 R - S IY0 +MARCIA M AA1 R - SH AH0 +MARCIA'S M AA1 R - SH AH0 Z +MARCIAL M AA0 R - S IY0 - AA1 L +MARCIANO M AA0 R - CH IY0 - AA1 - N OW0 +MARCIANTE M AA1 R - CH AH0 N - T IY0 +MARCIE M AA1 R - K IY0 +MARCIL M AA1 R - S IH0 L +MARCILE M AA1 R - CH AH0 L +MARCILIO M AA0 R - S IY1 - L IY0 - OW0 +MARCILLE M AA1 R - S IH0 L +MARCIN M AA0 R - S IY1 N +MARCINEK M ER0 - CH IH1 - N EH0 K +MARCINIAK M ER0 - CH IH1 - N IY0 - AE0 K +MARCINKO M AA2 R - S IH1 NG - K OW0 +MARCINKOWSKI M ER0 - CH IH0 NG - K AO1 F S - K IY0 +MARCINKUS M AA2 R - S IH1 NG - K AH0 S +MARCISSA M AA2 R - S IH1 - S AH0 +MARCKESANO M AA2 R - K EH2 - S AA1 - N OW0 +MARCKS M AA1 R K S +MARCMANN M AA1 R K - M AH0 N +MARCO M AA1 R - K OW0 +MARCO'S M AA1 R - K OW2 Z +MARCOE M AA1 R - K OW0 +MARCOM M AA1 R - K AH0 M +MARCON M AA1 R - K AH0 N +MARCONE M AA0 R - K OW1 - N IY0 +MARCONI M AA0 R - K OW1 - N IY0 +MARCOR M AA1 R - K AO2 R +MARCOS M AA1 R - K OW0 S +MARCOS' M AA1 R - K OW0 S +MARCOS'(2) M AA1 R - K OW0 - S IH0 Z +MARCOS'S M AA1 R - K AH0 - S IH0 Z +MARCOSES M AA0 R - K OW1 - S IH0 Z +MARCOSES' M AA0 R - K OW1 - S IH0 Z +MARCOTT M AA0 R - K AA1 T +MARCOTTE M AA0 R - K AO1 T +MARCOU M AA0 R - K UW1 +MARCOUX M AA0 R - K UW1 +MARCRUM M AA1 R - K R AH0 M +MARCUCCI M AA0 R - K UW1 - CH IY0 +MARCUM M AA1 R - K AH0 M +MARCUS M AA1 R - K AH0 S +MARCUS'S M AA1 R - K AH0 - S IH0 Z +MARCUSSEN M AA1 R - K AH0 - S AH0 N +MARCY M AA1 R - S IY0 +MARCZAK M AA1 R - CH AE0 K +MARDEN M AA1 R - D AH0 N +MARDER M AA1 R - D ER0 +MARDI M AA1 R - D IY0 +MARDIS M AA1 R - D IH0 S +MARDIS(2) M AA1 R - D IY0 S +MARDON M AA1 R - D AH0 N +MARE M EH1 R +MARE'S M EH1 R Z +MAREADY M ER0 - EH1 - D IY0 +MAREAN M AA0 - R IY1 N +MAREK M AA1 - R EH0 K +MARELDA M AA0 - R EH1 L - D AH0 +MARELLA M ER0 - EH1 - L AH0 +MARELLI M EH0 - R EH1 - L IY0 +MARENO M AA0 - R EH1 - N OW0 +MARES M EH1 R Z +MARESCA M AA0 - R EH1 - S K AH0 +MARESCO M AA0 - R EH1 - S K OW0 +MARESH M AE1 - R IH0 SH +MARET M AA1 - R EY0 T +MARETT M AE1 - R IH0 T +MARETTA M AA0 - R EH1 - T AH0 +MARETTE M ER0 - EH1 T +MAREZ M AA0 - R EH1 Z +MARFA M AA1 R - F AH0 +MARGA M AA1 R - G AH0 +MARGALO M AA0 R - G AA1 - L OW0 +MARGALOV M AA1 - G AH0 - L AO0 V +MARGARET M AA1 R - G ER0 - IH0 T +MARGARET'S M AA1 R - G ER0 - IH0 T S +MARGARET'S(2) M AA1 R - G R IH0 T S +MARGARET(2) M AA1 R - G R AH0 T +MARGARET(3) M AA1 R - G R IH0 T +MARGARETA M AA0 R - G AA0 - R EH1 - T AH0 +MARGARETE M AA1 R - G ER0 - IY2 T +MARGARETHE M AA0 R - G AA0 - R EH1 - DH IY0 +MARGARETTEN M AA2 R - G ER0 - EH1 - T AH0 N +MARGARINE M AA1 R - JH ER0 - AH0 N +MARGARITA M AA2 R - G ER0 - IY1 - T AH0 +MARGARITAS M AA2 R - G EH0 - R IY1 - T AH0 S +MARGAUX M AA0 R - G OW1 +MARGE M AA1 R JH +MARGEOTES M AA1 R - JH IY0 - OW2 - T IY0 Z +MARGERUM M AA1 R - G ER0 - AH0 M +MARGERY M AA1 R - JH ER0 - IY0 +MARGESON M AA1 R - G IH0 - S AH0 N +MARGET M AA1 R - G IH0 T +MARGETTE M AA0 R - ZH EH1 T +MARGIE M AA1 R - JH IY0 +MARGIN M AA1 R - JH AH0 N +MARGINAL M AA1 R - JH AH0 - N AH0 L +MARGINALIZATION M AA2 R - JH AH0 - N AH0 - L AH0 - Z EY1 - SH AH0 N +MARGINALIZE M AA1 R - JH AH0 - N AH0 - L AY2 Z +MARGINALIZED M AA1 R - JH AH0 - N AH0 - L AY2 Z D +MARGINALIZES M AA1 R - JH AH0 - N AH0 - L AY2 - Z IH0 Z +MARGINALIZING M AA1 R - JH AH0 - N AH0 - L AY2 - Z IH0 NG +MARGINALLY M AA1 R - JH AH0 - N AH0 - L IY0 +MARGINED M AA1 R - JH AH0 N D +MARGINING M AA1 R - JH AH0 - N IH0 NG +MARGINS M AA1 R - JH AH0 N Z +MARGIOTTA M AA0 R - JH OW1 - T AH0 +MARGITTAI M AA1 R - JH IH0 - T AY2 +MARGO M AA1 R - G OW0 +MARGOLICK M AA0 R - G OW1 - L IH0 K +MARGOLIES M AA0 R - G OW1 - L IY0 Z +MARGOLIN M AA1 R - G AH0 - L IH0 N +MARGOLIN(2) M AA0 R - G OW1 - L AH0 N +MARGOLIS M AA0 R - G OW1 - L IH0 S +MARGORY M ER0 - G ER1 - IY0 +MARGOSHES M AA0 R - G AO1 - SH IH0 Z +MARGOT M AA1 R - G OW0 +MARGRAF M AA1 R - G R AH0 F +MARGRAVE M AA1 R - G R EY2 V +MARGRET M AA1 R - G R EH0 T +MARGRET'S M AA1 R - G R EH0 T S +MARGUERITE M AA2 R - G ER0 - IY1 T +MARGULIES M AA1 R - G UW0 - L IY0 Z +MARGULIS M AA1 R - G AH0 - L IH0 S +MARGUS M AA1 R - G AH0 S +MARGY M AA1 R - JH IY0 +MARHEFKA M ER0 - HH EH1 F - K AH0 +MARI M AA1 - R IY0 +MARIA M ER0 - IY1 - AH0 +MARIA'S M ER0 - IY1 - AH0 Z +MARIACHI M AA2 - R IY0 - AA1 - CH IY0 +MARIAH M ER0 - AY1 - AH0 +MARIAM M EH1 - R IY0 - AE0 M +MARIAN M EH1 - R IY0 - AH0 N +MARIAN'S M EH1 - R IY0 - AH0 N Z +MARIANA M EH2 - R IY0 - AE1 - N AH0 +MARIANAS M EH2 - R IY0 - AE1 - N AH0 S +MARIANI M AA0 - R IY0 - AA1 - N IY0 +MARIANI(2) M AA0 - R IY0 - AE1 - N IY0 +MARIANNA M AA0 - R IY0 - AA1 - N AH0 +MARIANNE M EH2 - R IY0 - AE1 N +MARIANO M EH2 - R IY0 - AA1 - N OW0 +MARIBEL M AE1 - R IH0 - B EH0 L +MARICE M AA1 - R IH0 S +MARICH M AE1 - R IH0 K +MARICLE M AE1 - R IH0 - K AH0 L +MARICOPA M EH2 - R IH0 - K OW1 - P AH0 +MARIE M ER0 - IY1 +MARIE'S M ER0 - IY1 Z +MARIEL M EH1 - R IY0 - AH0 L +MARIELITO M EH0 - R IY2 - EH0 - L IY1 - T OW0 +MARIELITOS M EH0 - R IY2 - EH0 - L IY1 - T OW0 S +MARIEN M EH1 - R IY0 N +MARIENBONN M EH1 - R IY0 N - B AO2 N +MARIENBONN'S M EH1 - R IY0 N - B AO2 N Z +MARIER M EH1 - R IY0 - ER0 +MARIETTA M EH2 - R IY0 - EH1 - T AH0 +MARIETTA'S M EH2 - R IY0 - EH1 - T AH0 Z +MARIETTE M EH2 - R IY0 - EH1 T +MARIGOLD M EH1 - R AH0 - G OW2 L D +MARIGOLDS M EH1 - R AH0 - G OW2 L D Z +MARIJUANA M EH2 - R AH0 W - AA1 - N AH0 +MARIK M AE1 - R IH0 K +MARILDA M AA0 - R IY1 L - D AH0 +MARILIN M AE1 - R IH0 - L IH0 N +MARILLA M AA0 - R IH1 - L AH0 +MARILU M EH1 - R IY0 - L UW0 +MARILYN M EH1 - R AH0 - L AH0 N +MARILYN'S M EH1 - R AH0 - L AH0 N Z +MARILYN'S(2) M EH1 - R AH0 - L IH0 N Z +MARILYN(2) M EH1 - R AH0 - L IH0 N +MARILYNN M EH1 - R AH0 - L AH0 N +MARIMBA M ER0 - IH1 M - B AH0 +MARIN M EH1 - R IH0 N +MARINA M ER0 - IY1 - N AH0 +MARINACCIO M AA0 - R IH0 - N AA1 - CH IY0 - OW0 +MARINARO M AA0 - R IH0 - N AA1 - R OW0 +MARINAS M ER0 - IY1 - N AH0 Z +MARINATE M EH1 - R AH0 - N EY2 T +MARINATED M EH1 - R AH0 - N EY2 - T IH0 D +MARINE M ER0 - IY1 N +MARINE'S M ER0 - IY1 N Z +MARINEAU M EH1 - R IH0 - N OW0 +MARINELAND M ER0 - IY1 N - L AH0 N D +MARINELLI M AA0 - R IH0 - N EH1 - L IY0 +MARINELLO M AA0 - R IH0 - N EH1 - L OW0 +MARINER M EH1 - R AH0 - N ER0 +MARINERS M EH1 - R AH0 - N ER0 Z +MARINES M ER0 - IY1 N Z +MARINES' M ER0 - IY1 N Z +MARINEZ M AA0 - R IY1 - N EH0 Z +MARING M EH1 - R IH0 NG +MARINI M AA0 - R IY1 - N IY0 +MARINKOVICH M ER0 - IH1 NG - K AH0 - V IH0 CH +MARINO M ER0 - IY1 - N OW0 +MARINO'S M ER0 - IY1 - N OW0 Z +MARINOFF M AE1 - R IH0 N - AO0 F +MARINOS M ER0 - IY1 - N OW0 Z +MARINUCCI M AA0 - R IY0 - N UW1 - CH IY0 +MARINVEST M ER0 - IH1 N - V AH0 S T +MARIO M AA1 - R IY0 - OW0 +MARIO'S M AA1 - R IY0 - OW0 Z +MARION M EH1 - R IY0 - AH0 N +MARION'S M EH1 - R IY0 - AH0 N Z +MARIOTTA M EH2 - R IY0 - AA1 - T AH0 +MARIOTTI M AA0 - R IY0 - OW1 - T IY0 +MARIS M EH1 - R IH0 S +MARISA M AH0 - R IH1 - S AH0 +MARISCAL M AA1 - R AH0 S - K AH0 L +MARISH M EH1 - R IH0 SH +MARISSA M AH0 - R IH1 - S AH0 +MARITAL M EH1 - R AH0 - T AH0 L +MARITIME M EH1 - R AH0 - T AY2 M +MARITZ M EH1 - R IH0 T S +MARIUCCI M EH2 - R IY0 - UW1 - CH IY0 +MARIUS M EH1 - R IY0 - AH0 S +MARJAI M AA1 R - JH EY0 +MARJE M AA1 R JH +MARJIE M AA1 R - JH IY0 +MARJORIE M AA1 R - JH ER0 - IY0 +MARJORY M AA1 R - JH ER0 - IY0 +MARJY M AA1 R - JH IY0 +MARK M AA1 R K +MARK'S M AA1 R K S +MARKAIR M AA1 R - K EH2 R +MARKAIR'S M AA1 R - K EH2 R Z +MARKAN M AA1 R - K AH0 N +MARKARIAN M AA2 R - K EH1 - R IY0 - AH0 N +MARKDOWN M AA1 R K - D AW2 N +MARKDOWNS M AA1 R K - D AW2 N Z +MARKE M AA1 R K +MARKED M AA1 R K T +MARKEDLY M AA1 R - K AH0 D - L IY0 +MARKEDLY(2) M AA1 R - K IH0 D - L IY0 +MARKEE M AA1 R - K IY1 +MARKEL M AA1 R - K AH0 L +MARKEL(2) M AA0 R - K EH1 L +MARKELL M AA1 R - K AH0 L +MARKEN M AA1 R - K AH0 N +MARKER M AA1 R - K ER0 +MARKERS M AA1 R - K ER0 Z +MARKERT M AA1 R - K ER0 T +MARKESE M AA0 R - K IY1 S +MARKET M AA1 R - K AH0 T +MARKET'S M AA1 R - K AH0 T S +MARKET(2) M AA1 R - K IH0 T +MARKETABILITY M AA2 R - K IH0 - T AH0 - B IH1 - L IH0 - T IY0 +MARKETABLE M AA1 R - K AH0 - T AH0 - B AH0 L +MARKETAMERICA M AA2 R - K AH0 - T AH0 - M EH1 - R IH0 - K AH0 +MARKETED M AA1 R - K AH0 - T AH0 D +MARKETED(2) M AA1 R - K AH0 - T IH0 D +MARKETEER M AA2 R - K AH0 - T IH1 R +MARKETEERS M AA2 R - K AH0 - T IH1 R Z +MARKETER M AA1 R - K AH0 - T ER0 +MARKETER'S M AA1 R - K AH0 - T ER0 Z +MARKETERS M AA2 R - K AH0 - T ER0 Z +MARKETERS' M AA1 R - K AH0 - T ER0 Z +MARKETING M AA1 R - K AH0 - T IH0 NG +MARKETING'S M AA1 R - K AH0 - T IH0 NG Z +MARKETINGS M AA1 R - K AH0 - T IH0 NG Z +MARKETMAKER M AA1 R - K AH0 T - M EY2 - K ER0 +MARKETMAKERS M AA1 R - K AH0 T - M EY2 - K ER0 Z +MARKETPLACE M AA1 R - K AH0 T - P L EY2 S +MARKETPLACE'S M AA1 R - K AH0 T - P L EY2 - S IH0 Z +MARKETPLACE(2) M AA1 R - K IH0 T - P L EY2 S +MARKETPLACES M AA1 R - K AH0 T - P L EY2 - S IH0 Z +MARKETS M AA1 R - K AH0 T S +MARKETS' M AA1 R - K IH0 T S +MARKETS(2) M AA1 R - K IH0 T S +MARKETSCOPE M AA1 R - K AH0 T - S K OW2 P +MARKETWIDE M AA1 R - K AH0 T - W AY2 D +MARKEY M AA1 R - K IY2 +MARKEY'S M AA1 R - K IY2 Z +MARKGRAF M AA1 R K - G R AH0 F +MARKHAM M AA1 R - K AH0 M +MARKIE M AA1 R - K IY0 +MARKIEWICZ M AA1 R - K AH0 - V IH0 CH +MARKIN M AA1 R - K IH0 N +MARKING M AA1 R - K IH0 NG +MARKINGS M AA1 R - K IH0 NG Z +MARKKA M AA1 R - K AH0 +MARKKAA M AA0 R - K AA1 +MARKKAS M AA1 R - K AH0 S +MARKLAND M AA1 R K - L AH0 N D +MARKLE M AA1 R - K AH0 L +MARKLEY M AA1 R K - L IY0 +MARKMAN M AA1 R K - M AH0 N +MARKO M AA1 R - K OW0 +MARKOFF M AA1 R K - AO2 F +MARKOS M AA1 R - K OW0 Z +MARKOVIC M AA1 R - K AH0 - V IH0 K +MARKOVICH M AA1 R - K AH0 - V IH0 CH +MARKOVITZ M AA1 R - K AH0 - V IH0 T S +MARKOW M AA1 R - K OW0 +MARKOWICZ M AA1 R - K AH0 - V IH0 CH +MARKOWITZ M AA1 R - K AH0 - W IH0 T S +MARKOWSKI M ER0 - K AO1 F S - K IY0 +MARKS M AA1 R K S +MARKS'S M AA1 R K - S IH0 Z +MARKSBERRY M AA1 R K S - B EH2 - R IY0 +MARKSMAN M AA1 R K S - M AH0 N +MARKSMANSHIP M AA1 R K S - M AH0 N - SH IH0 P +MARKSMEN M AA1 R K S - M EH0 N +MARKSON M AA1 R K - S AH0 N +MARKUM M AA1 R - K AH0 M +MARKUNAS M AA1 R - K UW0 - N AH0 Z +MARKUP M AA1 R K - AH2 P +MARKUPS M AA1 R K - AH2 P S +MARKUS M AA1 R - K AH0 S +MARKUSON M AA1 R - K AH0 - S AH0 N +MARKWARDT M AA1 R - K W AO0 R T +MARKWELL M AA1 R - K W EH2 L +MARKWOOD M AA1 R K - W UH2 D +MARKY M AA1 R - K IY0 +MARLA M AA1 R - L AH0 +MARLAND M AA1 R - L AH0 N D +MARLAR M AA1 R - L ER0 +MARLATT M AA1 R - L AH0 T +MARLBORO M AA1 R L - B ER0 - OW0 +MARLBORO'S M AA1 R L - B ER0 - R OW0 Z +MARLBOROS M AA1 R L - B ER0 - R OW0 Z +MARLBOROUGH M AA1 R L - B ER0 - OW0 +MARLEEN M AA0 R - L IY1 N +MARLEENE M AA0 R - L IY1 N +MARLEN M AA1 R - L AH0 N +MARLENA M AA0 R - L EY1 - N AH0 +MARLENE M AA1 R - L IY2 N +MARLENS M AA1 R - L AH0 N Z +MARLER M AA1 R - L ER0 +MARLETT M AA1 R - L IH0 T +MARLETTE M AA2 R - L EH1 T +MARLEY M AA1 R - L IY0 +MARLIAVE M AA2 R - L IY0 - EH1 V +MARLIN M AA1 R - L AH0 N +MARLIN(2) M AA1 R - L IH0 N +MARLING M AA1 R - L IH0 NG +MARLINS M AA1 R - L AH0 N Z +MARLO M AA1 R - L OW0 +MARLON M AA1 R - L AH0 N +MARLOW M AA1 R - L OW0 +MARLOWE M AA1 R - L OW2 +MARLTON M AA1 R L - T AH0 N +MARLYS M AA1 R - L IY0 Z +MARMADUKE M AA1 R - M AH0 - D UW2 K +MARMALADE M AA1 R - M AH0 - L EY2 D +MARMARA M AA0 R - M AA1 - R AH0 +MARMER M AA1 R - M ER0 +MARMION M AA1 R - M IY0 - AH0 N +MARMO M AA1 R - M OW0 +MARMOLEJO M AA0 R - M OW0 - L EY1 - Y OW0 +MARMON M AA1 R - M AH0 N +MARMOR M AA1 R - M ER0 +MARMOSET M AA1 R - M AH0 - Z EH2 T +MARNELL M AA1 R - N AH0 L +MARNER M AA1 R - N ER0 +MARNEY M AA1 R - N IY0 +MARO M AA1 - R OW0 +MAROC M AA2 - R AO1 K +MAROGEN M EH1 - R OW0 - G AH0 N +MAROHL M AE1 - R OW0 L +MAROHN M AA1 - R AH0 N +MAROIS M ER0 - W AA1 +MAROLD M AE1 - R OW0 L D +MAROLF M AE1 - R OW0 L F +MAROLT M AE1 - R OW0 L T +MARON M AA0 - R AO1 N +MARONE M ER0 - OW1 N +MARONEY M ER0 - OW1 - N IY0 +MARONI M AA0 - R OW1 - N IY0 +MARONITE M EH1 - R AH0 - N AY2 T +MAROON M ER0 - UW1 N +MAROONED M ER0 - UW1 N D +MAROONEY M ER0 - UW1 - N IY0 +MAROSE M ER0 - OW1 S +MAROTTA M ER0 - AA1 - T AH0 +MAROTTE M ER0 - AO1 T +MAROTTO M AA0 - R OW1 - T OW0 +MAROTZ M AE1 - R AH0 T S +MAROUS M EH1 - R AH0 S +MAROVICH M AA1 - R AH0 - V IH0 CH +MARPLAN M AA1 R P - L AE2 N +MARPLE M AA1 R - P AH0 L +MARQUAI M AA0 R K - W EY1 +MARQUAI(2) M AA0 R - K EY1 +MARQUAND M AA1 R - K W AH0 N D +MARQUARD M AA0 R K - W AA1 R D +MARQUARDT M AA1 R - K W AA0 R T +MARQUART M AA1 R - K W AA0 R T +MARQUE M AA1 R K +MARQUEE M AA0 R - K IY1 +MARQUERITE M AA0 R - G ER0 - IY1 T +MARQUERITE(2) M AA1 R - G R IH0 T +MARQUES M AA1 R K S +MARQUESS M AA1 R - K W AH0 S +MARQUEST M AA1 R - K W EH2 S T +MARQUETTE M AA0 R - K EH1 T +MARQUEZ M AA0 R - K EH1 Z +MARQUIS M AA2 R - K IY1 +MARQUISS M AA1 R K - W IY0 S +MARQUITA M AA0 R K - W IY1 - T AH0 +MARR M AA1 R +MARRA M AA1 - R AH0 +MARRAKECH M AE1 - R AH0 - K EH2 SH +MARRAZZO M AA2 - R AA1 - Z OW0 +MARRED M AA1 R D +MARREN M AA1 - R AH0 N +MARRERO M AA2 - R EH1 - R OW0 +MARRETT M EH1 - R IH0 T +MARRIAGE M EH1 - R IH0 JH +MARRIAGES M EH1 - R IH0 - JH IH0 Z +MARRIED M EH1 - R IY0 D +MARRIES M EH1 - R IY0 Z +MARRIN M AE1 - R IH0 N +MARRINER M EH1 - R IH0 - N ER0 +MARRING M AA1 - R IH0 NG +MARRIOTT M EH1 - R IY0 - AH0 T +MARRIOTT'S M EH1 - R IY0 - AH0 T S +MARRIS M AE1 - R IH0 S +MARRO M AA1 - R OW0 +MARROCCO M AA0 - R OW1 - K OW0 +MARRON M EH1 - R AH0 N +MARRONE M AA0 - R OW1 - N IY0 +MARROQUIN M AA0 - R OW0 - K W IY1 N +MARROU M AH0 - R UW1 +MARROW M EH1 - R OW0 +MARRS M AA1 R Z +MARRUFO M AA2 - R UW1 - F OW0 +MARRUJO M AA0 - R UW1 - Y OW0 +MARRY M EH1 - R IY0 +MARRYING M EH1 - R IY0 - IH0 NG +MARS M AA1 R Z +MARS' M AA1 R Z +MARS'S M AA1 R - Z IH0 Z +MARSAL M AA1 R - S AH0 L +MARSAL(2) M AA0 R - S AA1 L +MARSALA M AA0 R - S AA1 - L AH0 +MARSALIS M AA1 R - S AH0 - L IH0 S +MARSALIS(2) M AA0 R - S AA1 - L IH2 S +MARSAM M AA1 R - S AE0 M +MARSCH M AA1 R SH +MARSCHALK M AA1 R - SH AO2 K +MARSCHALL M AA1 R - SH AH0 L +MARSCHKE M AA1 R SH K +MARSCHNER M AA1 R SH - N ER0 +MARSDEN M AA1 R S - D AH0 N +MARSDON M AA1 R S - D AH0 N +MARSE M AA1 R S +MARSECA M AA0 R - S EH1 - K AH0 +MARSECA'S M AA0 R - S EH1 - K AH0 Z +MARSEE M AA1 R - S IY2 +MARSEILLE M AA0 R - S AY1 L +MARSEILLES M AA0 R - S AY1 - L AH0 S +MARSEILLES(2) M AA0 R - S AY1 Z +MARSEKA M AA0 R - S EH1 - K AH0 +MARSELLA M AA2 R - S EH1 - L AH0 +MARSH M AA1 R SH +MARSH'S M AA1 R - SH IH0 Z +MARSHA M AA1 R - SH AH0 +MARSHAK M AA1 R - SH AH0 K +MARSHAL M AA1 R - SH AH0 L +MARSHAL'S M AA1 R - SH AH0 L Z +MARSHALED M AA1 R - SH AH0 L D +MARSHALING M AA1 R - SH AH0 L - IH0 NG +MARSHALL M AA1 R - SH AH0 L +MARSHALL'S M AA1 R - SH AH0 L Z +MARSHALLED M AA1 R - SH AH0 L D +MARSHALLS M AA1 R - SH AO2 L Z +MARSHALLTOWN M AA1 R - SH AH0 L - T AW2 N +MARSHALS M AA1 R - SH AH0 L Z +MARSHBURN M AA1 R SH - B ER2 N +MARSHES M AA1 R - SH AH0 Z +MARSHES(2) M AA1 R - SH IH0 Z +MARSHFIELD M AA1 R SH - F IY2 L D +MARSHLAND M AA1 R SH - L AE2 N D +MARSHLANDS M AA1 R SH - L AE2 N D Z +MARSHMALLOW M AA1 R SH - M EH2 - L OW0 +MARSHMALLOWS M AA1 R SH - M EH2 - L OW0 Z +MARSHMAN M AA1 R SH - M AH0 N +MARSHY M AA1 R - SH IY0 +MARSICANO M AA0 R - S IY0 - K AA1 - N OW0 +MARSICO M AA0 R - S IY1 - K OW0 +MARSIGLIA M AA2 R - S IH1 - G L IY0 - AH0 +MARSILI M AA0 R - S IY1 - L IY0 +MARSISA M AA0 R - S IH1 - S AH0 +MARSISA'S M AA0 R - S IH1 - S AH0 Z +MARSLAND M AA1 R S - L AH0 N D +MARSO M AA1 R - S OW0 +MARSOLEK M AA1 R - S AH0 - L EH0 K +MARSON M AA1 R - S AH0 N +MARSTELLER M AA1 R Z - T EH2 - L ER0 +MARSTERS M AA1 R - S T ER0 Z +MARSTON M AA1 R - S T AH0 N +MARSUPIAL M AA0 R - S UW1 - P IY0 - AH0 L +MARSZALEK M ER0 - SH AA1 - L EH0 K +MART M AA1 R T +MART'S M AA1 R T S +MARTA M AA1 R - T AH0 +MARTE M AA1 R T +MARTECH M AA1 R - T EH2 K +MARTEK M AA1 R - T EH2 K +MARTEL M AA1 R - T EH2 L +MARTELL M AA1 R - T EH2 L +MARTELLA M AA2 R - T EH1 - L AH0 +MARTELLE M AA0 R - T EH1 L +MARTELLI M AA0 R - T EH1 - L IY0 +MARTELLINI M AA2 R - T EH2 - L IY1 - N IY0 +MARTELLO M AA0 R - T EH1 - L OW0 +MARTEN M AA1 R - T AH0 N +MARTENEY M AA1 R - T IH0 - N IY0 +MARTENS M AA1 R - T AH0 N Z +MARTENS'S M AA1 R - T AH0 N - Z IH0 Z +MARTENSEN M AA1 R - T IH0 N - S AH0 N +MARTENSON M AA1 R - T IH0 N - S AH0 N +MARTER M AA1 R - T ER0 +MARTH M AA1 R TH +MARTHA M AA1 R - TH AH0 +MARTHA'S M AA1 R - TH AH0 Z +MARTHALER M AA1 R - TH AH0 - L ER0 +MARTHE M AA1 R DH +MARTHENA M AA1 R - TH IH0 - N AH0 +MARTI M AA1 R - T IY0 +MARTIAL M AA1 R - SH AH0 L +MARTIALED M AA1 R - SH AH0 L D +MARTIALS M AA1 R - SH AH0 L Z +MARTIAN M AA1 R - SH AH0 N +MARTIANS M AA1 R - SH AH0 N Z +MARTIE M AA1 R - T IY0 +MARTIN M AA1 R - T AH0 N +MARTIN'S M AA1 R - T AH0 N Z +MARTIN(2) M AA1 R - T IH0 N +MARTINA M AA0 R - T IY1 - N AH0 +MARTINDALE M AA1 R - T IH0 N - D EY0 L +MARTINE M AA0 R - T IY1 N +MARTINEAU M AA1 R - T IH0 - N OW2 +MARTINEC M AA1 R - T IH0 - N EH0 K +MARTINEK M AA1 R - T IH0 - N IH0 K +MARTINES M AA0 R - T IY1 N Z +MARTINEZ M AA0 R - T IY1 - N EH0 Z +MARTINEZ'S M AA0 R - T IY1 - N EH2 - Z IH0 Z +MARTING M AA1 R - T IH0 NG +MARTINGALE M AA1 R - T IH0 - NG EY2 L +MARTINI M AA0 R - T IY1 - N IY0 +MARTINIQUE M AA0 R - T IH0 - N IY1 K +MARTINIS M AA0 R - T IY1 - N IY0 Z +MARTINKA M AA2 R - T IH1 NG - K AH0 +MARTINKO M AA2 R - T IH1 NG - K OW0 +MARTINO M AA0 R - T IY1 - N OW0 +MARTINOVICH M AA2 R - T IH1 - N AH0 - V IH0 CH +MARTINS M AA1 R - T IH0 N Z +MARTINS'S M AA1 R - T IH0 N - Z IH0 Z +MARTINSEN M AA0 R - T IH1 N - S AH0 N +MARTINSON M AA1 R - T IH0 N - S AH0 N +MARTINSVILLE M AA1 R - T IH0 N Z - V IH2 L +MARTINY M AA1 R - T IH0 - N IY0 +MARTION M AA1 R - SH Y AH0 N +MARTIRE M AA0 R - T IH1 - R IY0 +MARTIROSOV M AA0 R - T IH1 - R AH0 - S AA0 V +MARTIS M AA1 R - T IH0 S +MARTITA M AA0 R - T IY1 - T AH0 +MARTOCCI M AA0 R - T OW1 - CH IY0 +MARTON M AA1 R - T AH0 N +MARTONE M AA0 R - T OW1 - N IY0 +MARTORANA M AA0 R - T AO0 - R AE1 - N AH0 +MARTORANO M AA0 R - T AO0 - R AA1 - N OW0 +MARTORELLI M AA0 R - T AO0 - R EH1 - L IY0 +MARTS M AA1 R T S +MARTUCCI M AA0 R - T UW1 - CH IY0 +MARTURANO M AA0 R - T UH0 - R AA1 - N OW0 +MARTUS M AA1 R - T AH0 S +MARTY M AA1 R - T IY0 +MARTY'S M AA1 R - T IY0 Z +MARTYN M AA1 R - T IH0 N +MARTYR M AA1 R - T ER0 +MARTYRDOM M AA1 R - T ER0 - D AH0 M +MARTYRE M AA0 R - T AY1 R +MARTYRED M AA1 R - T ER0 D +MARTYRS M AA1 R - T ER0 Z +MARTZ M AA1 R T S +MARTZ'S M AA1 R T - S IH0 Z +MARUBENI M AA2 - R UW0 - B IY1 - N IY0 +MARUCA M ER0 - UW1 - K AH0 +MARUCCI M AA0 - R UW1 - CH IY0 +MARUI M ER0 - UW1 - IY0 +MARUKIN M ER0 - UW1 - K IH0 N +MARULANDA M AE2 - R UW0 - L AE1 N - D AH0 +MARULLO M AA0 - R UW1 - L OW0 +MARUSKA M ER0 - AH1 - S K AH0 +MARUTI M ER0 - UW1 - T IY0 +MARUYAMA M AA2 - R UW0 - Y AA1 - M AH0 +MARUYU M EH1 - R UW0 - Y UW0 +MARV M AA1 R V +MARVA M AA1 R - V AH0 +MARVEL M AA1 R - V AH0 L +MARVEL'S M AA1 R - V AH0 L Z +MARVELA M AA0 R - V EY1 - L AH0 +MARVELED M AA1 R - V AH0 L D +MARVELL M AA0 R - V EH1 L +MARVELLA M AA2 R - V EH1 - L AH0 +MARVELLE M AA0 R - V EH1 L +MARVELOUS M AA1 R - V AH0 - L AH0 S +MARVELOUSLY M AA1 R - V AH0 - L AH0 S - L IY0 +MARVELS M AA1 R - V AH0 L Z +MARVER M AA1 R - V ER0 +MARVIN M AA1 R - V IH0 N +MARVIN'S M AA1 R - V IH0 N +MARWICK M AA1 R - W IH2 K +MARWICK'S M AA1 R - W IH2 K S +MARWIN M AA1 R - W IH0 N +MARWOOD M AA1 R - W UH2 D +MARX M AA1 R K S +MARXEN M AA1 R K - S AH0 N +MARXISM M AA1 R K - S IH0 - Z AH0 M +MARXIST M AA1 R K - S AH0 S T +MARXIST(2) M AA1 R K - S IH0 S T +MARXISTS M AA1 R K - S IH0 S T S +MARXISTS(2) M AA1 R K - S IH0 S S +MARXISTS(3) M AA1 R K - S IH0 S +MARY M EH1 - R IY0 +MARY'S M EH1 - R IY0 Z +MARYA M AA1 - R Y AH0 +MARYANN M EH0 - R IY0 - AE1 N +MARYANNE M EH0 - R IY0 - AE1 N +MARYBETH M EH1 - R IY0 - B EH1 TH +MARYLAND M EH1 - R AH0 - L AH0 N D +MARYLAND'S M EH1 - R AH0 - L AH0 N D Z +MARYLIN M AE1 - R IH0 - L IH0 N +MARYLOU M AE1 - R IY0 - L UW0 +MARYMOUNT M EH1 - R IY0 - M AW2 N T +MARYMOUNT'S M EH1 - R IY0 - M AW2 N T S +MARYRUTH M AE1 - R IH0 - R UW0 TH +MARYSE M AA0 - R IY1 S +MARYSVILLE M EH1 - R IY0 Z - V IH2 L +MARYVILLE M EH1 - R IY0 - V IH2 L +MARZ M AA1 R Z +MARZAN M AA1 R - Z AH0 N +MARZANO M AA0 R - Z AA1 - N OW0 +MARZEC M AA1 R - Z IH0 K +MARZETTE M AA2 R - Z EH1 T +MARZILLI M AA0 R - Z IY1 - L IY0 +MARZO M AA1 R - Z OW0 +MARZOLF M AA1 R - Z OW2 L F +MARZOTTO M AA2 R - Z AA1 - T OW0 +MARZULLO M AA0 R - Z UW1 - L OW0 +MAS M AA1 Z +MASA M AA1 - S AH0 +MASAAKI M AA2 - S AA0 - AA1 - K IY0 +MASAHIKO M AA2 - S AA0 - HH IY1 - K OW0 +MASAHIRO M AA2 - S AA0 - HH IH1 - R OW0 +MASAI M AA0 - S AA1 - IY0 +MASAKAZU M AA2 - S AA0 - K AA1 - Z UW0 +MASAKI M AA0 - S AA1 - K IY0 +MASAKO M AH0 - S AA1 - K OW0 +MASAMI M AA0 - S AA1 - M IY0 +MASAMILLA M AA0 - S AH0 - M IH1 - L AH0 +MASAO M AA0 - S AA1 - OW0 +MASARU M AA0 - S AA1 - R UW0 +MASAYA M AA0 - S AA1 - Y AH0 +MASAYOSHI M AA2 - S AA0 - Y OW1 - SH IY0 +MASAYUKI M AA2 - S AA0 - Y UW1 - K IY0 +MASCARA M AE0 - S K EH1 - R AH0 +MASCARENA M AE1 - S K ER0 - IH0 - N AH0 +MASCARENA(2) M AE2 - K AH0 - R IY1 - N AH0 +MASCARENAS M AE1 - S K ER0 - IH0 - N AH0 Z +MASCARENAS(2) M AE2 - K AH0 - R IY1 - N AH0 Z +MASCARI M AA0 S - K AA1 - R IY0 +MASCARO M AA0 S - K AA1 - R OW0 +MASCH M AE1 SH +MASCHINO M AA0 S - K IY1 - N OW0 +MASCHKE M AE1 SH K +MASCI M AE1 - S IY0 +MASCIA M AA1 S - CH AH0 +MASCIARELLI M AA0 S - CH ER0 - EH1 - L IY0 +MASCIO M AE1 - S IY0 - OW0 +MASCIOLI M AA0 S - CH OW1 - L IY0 +MASCO M AE1 - S K OW0 +MASCOLA M AA0 - S K OW1 - L AH0 +MASCOLO M AA0 - S K OW1 - L OW0 +MASCORRO M AA0 - S K AO1 - R OW0 +MASCOT M AE1 - S K AH0 T +MASCOT(2) M AE1 - S K AA2 T +MASCOTS M AE1 - S K AA2 T S +MASCULINE M AE1 S - K Y AH0 - L AH0 N +MASCULINITY M AE2 S - K Y AH0 - L IH1 - N AH0 - T IY0 +MASDEN M AE1 S - D AH0 N +MASE M EY1 Z +MASEFIELD M EY1 Z - F IY2 L D +MASEK M AA1 - S EH0 K +MASELLA M AH0 - S EH1 - L AH0 +MASELLI M AH0 - S EH1 - L IY0 +MASENG M AE1 - S IH0 NG +MASER M EY1 - Z ER0 +MASERATI M AE2 - S EH0 - R AA1 - T IY0 +MASERI M AH0 - S EH1 - R IY0 +MASH M AE1 SH +MASHALU M AH0 - SH AE1 - L UW0 +MASHANTUCKET M AE2 - SH AH0 N - T AH1 - K AH0 T +MASHAW M AE1 - SH AO0 +MASHBURN M AE1 SH - B ER2 N +MASHED M AE1 SH T +MASHEK M AE1 - SH IH0 K +MASI M AA1 - S IY0 +MASIELLO M AA0 - S IY0 - EH1 - L OW0 +MASIN M AA1 - S IH0 N +MASINI M AA0 - S IY1 - N IY0 +MASINO M AA0 - S IY1 - N OW0 +MASIUS M AE1 - S IY0 - AH0 S +MASK M AE1 S K +MASKE M EY1 S K +MASKED M AE1 S K T +MASKELL M AE1 S - K AH0 L +MASKER M AE1 - S K ER0 +MASKING M AE1 - S K IH0 NG +MASKS M AE1 S K S +MASLANKA M AH0 S - L AE1 NG - K AH0 +MASLEN M AE1 - S AH0 - L AH0 N +MASLEY M AE1 S - L IY0 +MASLIN M AE1 Z - L IH0 N +MASLOW M AA1 S - L OW0 +MASLOWSKI M AH0 S - L AO1 F S - K IY0 +MASLYUKOV M AE1 S - L Y UW0 - K AA2 V +MASOCHISM M AE1 - S AH0 - K IH0 - Z AH0 M +MASOCHIST M AE1 - S AH0 - K IH0 S T +MASOCHISTIC M AE1 - S AH0 - K IH0 - S T IH0 K +MASON M EY1 - S AH0 N +MASON'S M EY1 - S AH0 N Z +MASONE M AH0 - S OW1 N +MASONER M EY1 - S AH0 N - ER0 +MASONIC M AH0 - S AA1 - N IH0 K +MASONITE M AE1 - S AH0 - N AY2 T +MASONRY M EY1 - S AH0 N - R IY0 +MASONS M EY1 - S AH0 N Z +MASOOD M AH0 - S UW1 D +MASOUD M AH0 - S UW1 D +MASQUERADE M AE2 S - K ER0 - EY1 D +MASQUERADING M AE2 S - K ER0 - EY1 - D IH0 NG +MASRI M AA1 - S R IY0 +MASS M AE1 S +MASS. M AE1 S +MASS.(2) M AE2 - S AH0 - CH UW1 - S AH0 T S +MASSA M AE1 - S AH0 +MASSACHUSETTS M AE2 - S AH0 - CH UW1 - S AH0 T S +MASSACHUSETTS' M AE2 - S AH0 - CH UW1 - S AH0 T S +MASSACHUSSETTS M AE2 - S AH0 - CH UW1 - S AH0 T S +MASSACRE M AE1 - S AH0 - K ER0 +MASSACRED M AE1 - S AH0 - K ER0 D +MASSACRES M AE1 - S IH0 - K ER0 Z +MASSACRING M AE1 - S AH0 - K ER0 - IH0 NG +MASSAD M AE1 - S AH0 D +MASSAGE M AH0 - S AA1 ZH +MASSAGED M AH0 - S AA1 ZH D +MASSAGER M AH0 - S AA1 - ZH ER0 +MASSAGES M AH0 - S AA1 - ZH IH0 Z +MASSAGING M AH0 - S AA1 - ZH IH0 NG +MASSAR M AE1 - S ER0 +MASSARI M AA0 - S AA1 - R IY0 +MASSARO M AH0 - S AA1 - R OW0 +MASSBAUCH M AE1 S - B AA2 K +MASSE M AE1 S +MASSED M AE1 S T +MASSENBURG M AE1 - S AH0 N - B ER0 G +MASSENET M AE1 - S AH0 - N EH2 T +MASSENET'S M AE1 - S AH0 - N EH2 T S +MASSENGALE M AE1 - S AH0 N - G EY2 L +MASSENGILL M AE1 - S AH0 N - G IH2 L +MASSER M AE1 - S ER0 +MASSES M AE1 - S AH0 Z +MASSES(2) M AE1 - S IH0 Z +MASSETT M AE1 - S IH0 T +MASSEY M AE1 - S IY0 +MASSI M AE1 - S IY0 +MASSICOTTE M AE1 - S IH0 - K AO0 T +MASSIE M AE1 - S IY0 +MASSIEU M AE1 - S IY0 - UW0 +MASSIF M AE0 - S IY1 F +MASSIF(2) M AE1 - S IH0 F +MASSIMINO M AA0 - S IY0 - M IY1 - N OW0 +MASSIMINO'S M AE2 - S IH0 - M IY1 - N OW0 Z +MASSIMO M AE1 - S IH0 - M OW2 +MASSING M AE1 - S IH0 NG +MASSINGALE M AA0 - S IH0 NG - G AA1 - L IY0 +MASSINGILL M AE1 - S IH0 NG - G AH0 L +MASSIVE M AE1 - S IH0 V +MASSIVELY M AE1 - S IH0 V - L IY0 +MASSMAN M AE1 S - M AH0 N +MASSMANN M AE1 S - M AH0 N +MASSMUTUAL M AE1 S - M Y UW1 - CH UW0 - AH0 L +MASSO M AE1 - S OW0 +MASSON M AE1 - S AH0 N +MASSONI M AA0 - S OW1 - N IY0 +MASSOTH M AE1 - S AH0 TH +MASSPORT M AE1 S - P AO2 R T +MASSUCCI M AA0 - S UW1 - CH IY0 +MAST M AE1 S T +MASTANDREA M AA0 - S T AA1 N - D R IY0 - AH0 +MASTECTOMIES M AE0 - S T EH1 K - T AH0 - M IY0 Z +MASTECTOMY M AE0 - S T EH1 K - T AH0 - M IY0 +MASTED M AE1 - S T AH0 D +MASTED(2) M AE1 - S T IH0 D +MASTEL M EY1 - S T AH0 L +MASTELLER M EY1 - S T AH0 L - ER0 +MASTEN M AE1 - S T AH0 N +MASTER M AE1 - S T ER0 +MASTER'S M AE1 - S T ER0 Z +MASTERCARD M AE1 - S T ER0 - K AA2 R D +MASTERCARD'S M AE1 - S T ER0 - K AA2 R D Z +MASTERCARDS M AE1 - S T ER0 - K AA2 R D Z +MASTERED M AE1 - S T ER0 D +MASTERFUL M AE1 - S T ER0 - F AH0 L +MASTERFULLY M AE1 - S T ER0 - F AH0 - L IY0 +MASTERGATE M AE1 - S T ER0 - G EY2 T +MASTERING M AE1 - S T ER0 - IH0 NG +MASTERLY M AE1 - S T ER0 - L IY0 +MASTERMAN M AE1 - S T ER0 - M AH0 N +MASTERMIND M AE1 - S T ER0 - M AY2 N D +MASTERMINDED M AE1 - S T ER0 - M AY2 N - D IH0 D +MASTERMINDING M AE1 - S T ER0 - M AY2 N - D IH0 NG +MASTERMINDS M AE1 - S T ER0 - M AY2 N D Z +MASTERPIECE M AE1 - S T ER0 - P IY2 S +MASTERPIECES M AE1 - S T ER0 - P IY2 - S AH0 Z +MASTERPIECES(2) M AE1 - S T ER0 - P IY2 - S IH0 Z +MASTERS M AE1 - S T ER0 Z +MASTERS' M AE1 - S T ER0 Z +MASTERSON M AE1 - S T ER0 - S AH0 N +MASTERSTROKE M AE1 - S T ER0 - S T R OW2 K +MASTERWORK M AE1 - S T ER0 - W ER2 K +MASTERWORKS M AE1 - S T ER0 - W ER2 K S +MASTERY M AE1 - S T ER0 - IY0 +MASTHEAD M AE1 S T - HH EH2 D +MASTIF M AE1 - S T AH0 F +MASTIF'S M AE1 - S T AH0 F S +MASTIFF M AE1 - S T AH0 F +MASTIFS M AE1 - S T AH0 F S +MASTIN M AE1 - S T IH0 N +MASTODON M AE1 - S T AH0 - D AO2 N +MASTOIDITIS M AE2 - S T OY0 - D AY1 - T AH0 S +MASTON M AE1 - S T AH0 N +MASTRANGELO M AA0 - S T R AA0 NG - G EH1 - L OW0 +MASTRIANNI M AA0 S - T R IY0 - AA1 - N IY0 +MASTRIANO M AA0 S - T R IY0 - AA1 - N OW0 +MASTRICH M AE1 - S T R IH0 CH +MASTRICH'S M AE1 - S T R IH0 - CH IH0 Z +MASTRICH'S(2) M AA1 - S T R IH0 K S +MASTRICH(2) M AA1 - S T R IH0 K +MASTRO M AE1 - S T R OW0 +MASTROCOLA M AE0 - S T R OW0 - K OW1 - L AH0 +MASTROGIOVANNI M AE0 - S T R OW0 - JH OW0 - V AA1 - N IY0 +MASTROIANNI M AE0 - S T R OW0 - Y AA1 - N IY0 +MASTRONARDI M AE0 - S T R OW0 - N AA1 R - D IY0 +MASTROPIETRO M AE0 - S T R OW0 - P IY1 - T R OW0 +MASTS M AE1 S T S +MASTS(2) M AE1 S S +MASTURBATE M AE1 - S T ER0 - B EY2 T +MASTURBATED M AE1 - S T ER0 - B EY2 - T IH0 D +MASTURBATES M AE1 - S T ER0 - B EY2 T S +MASTURBATING M AE1 - S T ER0 - B EY2 - T IH0 NG +MASTURBATION M AE2 - S T ER0 - B EY1 - SH AH0 N +MASUCCI M AA0 - S UW1 - CH IY0 +MASUDA M AH0 - S UW1 - D AH0 +MASULLO M AA0 - S UW1 - L OW0 +MASUR M AE1 - S ER0 +MAT M AE1 T +MATA M AA1 - T AH0 +MATABANE M AE1 - T AH0 - B EY2 N +MATADOR M AE1 - T AH0 - D AO2 R +MATAGORDA M AE2 - T AH0 - G AO1 R - D AH0 +MATAKSAS M AH0 - T AE1 K - S AH0 S +MATALA M AH0 - T AA1 - L AH0 +MATALA'S M AH0 - T AA1 - L AH0 Z +MATALIN M AE1 - T AH0 - L IH0 N +MATALIN(2) M AE1 T - L IH0 N +MATALON M AA0 - T AA0 - L AO1 N +MATAMOROS M AA0 - T AA0 - M AO1 - R OW0 S +MATARAZZO M AA0 - T AA0 - R AA1 - Z OW0 +MATARESE M AA0 - T AA0 - R EY1 - Z IY0 +MATAS M AA1 - T AH0 Z +MATASSA M AA0 - T AA1 - S AH0 +MATAYA M AA0 - T AA1 - Y AH0 +MATCH M AE1 CH +MATCH'S M AE1 - CH IH0 Z +MATCHBOOK M AE1 CH - B UH2 K +MATCHBOX M AE1 CH - B AA2 K S +MATCHED M AE1 CH T +MATCHES M AE1 - CH AH0 Z +MATCHES(2) M AE1 - CH IH0 Z +MATCHETT M AE1 - CH IH0 T +MATCHING M AE1 - CH IH0 NG +MATCHLOCK M AE1 CH - L AA2 K +MATCHLOCKS M AE1 CH - L AA2 K S +MATCHMAKER M AE1 CH - M EY2 - K ER0 +MATCHMAKERS M AE1 CH - M EY2 - K ER0 Z +MATCHMAKING M AE1 CH - M EY2 - K IH0 NG +MATCHUP M AE1 - CH AH0 P +MATCHUPS M AE1 - CH AH0 P S +MATE M EY1 T +MATECKI M AH0 - T EH1 - K IY0 +MATED M EY1 - T IH0 D +MATEER M AH0 - T IH1 R +MATEJA M AA0 - T EY1 - Y AH0 +MATEJKA M AH0 - T EY1 - K AH0 +MATELL M AH0 - T EH1 L +MATELSKI M AH0 - T EH1 L - S K IY0 +MATEO M AA0 - T EY1 - OW0 +MATER M AA1 - T ER0 +MATER(2) M EY1 - T ER0 +MATER(3) M AE1 - T ER0 +MATERA M AA0 - T EH1 - R AH0 +MATERIAL M AH0 - T IH1 - R IY0 - AH0 L +MATERIALISM M AH0 - T IH1 - R IY0 - AH0 - L IH2 - Z AH0 M +MATERIALIST M AH0 - T IH1 - R IY0 - AH0 - L IH0 S T +MATERIALISTIC M AH0 - T IH2 - R IY0 - AH0 - L IH1 - S T IH0 K +MATERIALITY M AH0 - T IH2 - R IY0 - AE1 - L IH0 - T IY0 +MATERIALIZE M AH0 - T IH1 - R IY0 - AH0 - L AY2 Z +MATERIALIZED M AH0 - T IH1 - R IY0 - AH0 - L AY2 Z D +MATERIALIZES M AH0 - T IH1 - R IY0 - AH0 - L AY2 - Z IH0 Z +MATERIALIZING M AH0 - T IH1 - R IY0 - AH0 - L AY2 - Z IH0 NG +MATERIALLY M AH0 - T IH1 - R IY0 - AH0 - L IY0 +MATERIALS M AH0 - T IH1 - R IY0 - AH0 L Z +MATERIALS' M AH0 - T IH1 - R IY0 - AH0 L Z +MATERIEL M AH0 - T IH2 - R IY0 - EH1 L +MATERIELS M AH0 - T IH2 - R IY0 - EH1 L Z +MATERN M AE1 - T ER0 N +MATERNA M AA0 - T EH1 R - N AH0 +MATERNAL M AH0 - T ER1 - N AH0 L +MATERNITY M AH0 - T ER1 - N IH0 - T IY0 +MATES M EY1 T S +MATEWAN M AE1 - T UW2 - AA0 N +MATEWAN(2) M EY1 T - W AA2 N +MATEY M EY1 - T IY0 +MATH M AE1 TH +MATHAI M AA0 - DH AA1 - IY0 +MATHAN M EY1 - TH AH0 N +MATHE M EY1 DH +MATHEA M AE1 - DH IY0 - AH0 +MATHEIS M AE1 - DH AY0 Z +MATHEMATIC M AE2 - TH AH0 - M AE1 - T IH0 K +MATHEMATICAL M AE2 - TH AH0 - M AE1 - T IH0 - K AH0 L +MATHEMATICALLY M AE2 - TH AH0 - M AE1 - T IH0 - K AH0 - L IY0 +MATHEMATICALLY(2) M AE2 - TH AH0 - M AE1 - T IH0 K - L IY0 +MATHEMATICIAN M AE2 - TH AH0 - M AH0 - T IH1 - SH AH0 N +MATHEMATICIANS M AE2 - TH AH0 - M AH0 - T IH1 - SH AH0 N Z +MATHEMATICS M AE2 - TH AH0 - M AE1 - T IH0 K S +MATHENA M AE1 - TH IH0 - N AH0 +MATHENEY M AE1 - TH IH0 - N IY0 +MATHENY M AE1 - TH IH0 - N IY0 +MATHER M AE1 - DH ER0 +MATHERLY M AE1 - DH ER0 - L IY0 +MATHERN M AE1 - DH ER0 N +MATHERNE M AE1 - TH ER0 N +MATHERS M AE1 - DH ER0 Z +MATHERSON M AE1 - TH ER0 - S AH0 N +MATHES M AE1 - TH IH0 S +MATHESON M AE1 - TH AH0 - S AH0 N +MATHESON'S M AE1 - TH AH0 - S AH0 N Z +MATHEUS M AE1 - DH OY0 Z +MATHEW M AE1 - TH Y UW0 +MATHEWS M AE1 - TH Y UW0 Z +MATHEWSON M AE1 - TH Y UW0 - S AH0 N +MATHEY M AE1 - DH IY0 +MATHIA M AA1 - DH IY0 - AH0 +MATHIAS M AH0 - TH AY1 - AH0 S +MATHIASEN M AH0 - TH AY1 - AH0 - S AH0 N +MATHIASON M AH0 - TH AY1 - AH0 - S AH0 N +MATHIE M AE1 - TH IY0 +MATHIES M AE1 - TH IY0 Z +MATHIESEN M AE1 - TH IY0 - S AH0 N +MATHIESON M AH0 - TH IY1 - Z AH0 N +MATHIEU M AE1 - TH Y UW0 +MATHILDA M AH0 - T IH1 L - D AH0 +MATHILDE M AE1 - TH IH0 L D +MATHILDE(2) M AH0 - T IH1 L D +MATHIS M AE1 - TH IH0 S +MATHISEN M AE1 - TH AY0 - Z AH0 N +MATHISON M AE1 - TH IH0 - S AH0 N +MATHUR M AE1 - TH ER0 +MATHWIG M AE1 TH - W IH0 G +MATHY M AE1 - TH IY0 +MATHYS M EY1 - TH IY0 Z +MATIAS M AA1 - SH AH0 Z +MATIC M AE1 - T IH0 K +MATIF M AA0 - T IY1 F +MATILDA M AH0 - T IH1 L - D AH0 +MATINEE M AE1 - T IH0 - N EY2 +MATING M EY1 - T IH0 NG +MATION M AE1 - T Y AH0 N +MATION(2) M EY1 - SH AH0 N +MATIS M AA1 - T IH0 S +MATISSE M AE1 - T IY0 S +MATISSE'S M AE1 - T IY0 - S IH0 Z +MATKIN M AE1 T - K IH0 N +MATKINS M AE1 T - K IH0 N Z +MATKOVICH M AA1 T - K AH0 - V IH0 CH +MATLACK M AE1 T - L AE2 K +MATLICK M AE1 T - L IH0 K +MATLIN M AE1 T - L IH0 N +MATLOCK M AE1 T - L AA2 K +MATNEY M AE1 T - N IY0 +MATO M AA1 - T OW0 +MATOLA M AH0 - T OW1 - L AH0 +MATOS M AA1 - T OW0 Z +MATOTT M AE1 - T AH0 T +MATOUSEK M AH0 - T UW1 - S EH0 K +MATRA M AE1 - T R AH0 +MATRA'S M AE1 - T R AH0 Z +MATRANGA M AA0 - T R AA1 NG - G AH0 +MATRIARCH M EY1 - T R IY0 - AA2 R K +MATRIARCHAL M EY2 - T R IY0 - AA1 R - K AH0 L +MATRIARCHY M EY1 - T R IY0 - AA2 R - K IY0 +MATRILINEAL M AE2 - T R IH0 - L IH1 - N IY0 - AH0 L +MATRIMONIAL M AE2 - T R AH0 - M OW1 - N IY0 - AH0 L +MATRIMONY M AE1 - T R AH0 - M OW2 - N IY0 +MATRIX M EY1 - T R IH0 K S +MATRIX'S M EY1 - T R IH0 K - S IH0 Z +MATRON M EY1 - T R AH0 N +MATRONLY M EY1 - T R AH0 N - L IY0 +MATRONS M EY1 - T R AH0 N Z +MATS M AE1 T S +MATSAPA M AE0 T - S AA1 - P AH0 +MATSCH M AE1 CH +MATSEN M AA1 T - S AH0 N +MATSKO M AA1 T - S K OW0 +MATSON M AA1 T - S AH0 N +MATSU-YA M AE2 T - S UW1 - Y AH0 +MATSUBARA M AA2 T - S UW2 - B AA1 - R AH0 +MATSUDA M AA0 T - S UW1 - D AH0 +MATSUI M AA0 T - S UW1 - IY0 +MATSUKAWA M AA2 T - S UW2 - K AA1 - W AH0 +MATSUMOTO M AA0 T - S UW0 - M OW1 - T OW0 +MATSUMURA M AA0 T - S UW0 - M UH1 - R AH0 +MATSUNAGA M AA0 T - S UW0 - N AA1 - G AH0 +MATSUO M AA0 T - S UW1 - OW0 +MATSUOKA M AA0 T - S UW0 - OW1 - K AH0 +MATSUSHITA M AA0 T - S UW0 - SH IY1 - T AH0 +MATSUSHITA'S M AA2 T - S UW0 - SH IY1 - T AH0 Z +MATSUSHITA'S(2) M AA0 T - S UW1 - SH IY0 - T AH0 Z +MATSUSHITA(2) M AA0 T - S UW1 - SH IY0 - T AH0 +MATSUURA M AA0 T - S UW0 - UH1 - R AH0 +MATT M AE1 T +MATT'S M AE1 T Z +MATTA M AE1 - T AH0 +MATTE M AE1 T +MATTEA M AE1 - SH AH0 +MATTEI M AE1 - T AY0 +MATTEIS M AH0 - T AY1 S +MATTEL M AH0 - T EH1 L +MATTEL'S M AH0 - T EH1 L Z +MATTEO M AA0 - T EY1 - OW0 +MATTER M AE1 - T ER0 +MATTER'S M AE1 - T ER0 Z +MATTERA M AA0 - T EH1 - R AH0 +MATTEREASE M AE1 - T ER0 - IY2 Z +MATTEREASE(2) M AH0 - T R IY1 - Z IY0 +MATTERED M AE1 - T ER0 D +MATTERN M AE1 - T ER0 N +MATTERS M AE1 - T ER0 Z +MATTES M AE1 T S +MATTESON M AE1 - T IH0 - S AH0 N +MATTEUCCI M AA0 - T UW1 - CH IY0 +MATTHAU M AE1 T - HH AW0 +MATTHAUSEN M AE1 T - HH AW0 - Z AH0 N +MATTHEA M AE1 T - DH IY0 - AH0 +MATTHEIS M AE1 T - DH AY0 Z +MATTHES M AE1 - TH IH0 Z +MATTHEW M AE1 - TH Y UW0 +MATTHEW'S M AE1 - TH Y UW0 Z +MATTHEWS M AE1 - TH Y UW0 Z +MATTHEWS'S M AE1 - TH Y UW0 - Z IH0 Z +MATTHEWSON M AE1 - TH Y UW0 - S AH0 N +MATTHEY M AE1 T - DH IY0 +MATTHIA M AA1 T - DH IY0 - AH0 +MATTHIAS M AH0 - TH AY1 - AH0 S +MATTHIES M AE1 - TH IY0 Z +MATTHIESEN M AE1 - TH IY0 - S AH0 N +MATTHIS M AE1 - TH IH0 S +MATTHYS M AE1 - TH IY0 Z +MATTIAS M AE1 - SH AH0 Z +MATTICE M AA1 - T IH0 S +MATTICK M AE1 - T IH0 K +MATTIE M AE1 - T IY0 +MATTIKALLI M AE2 - T IH2 - K AA1 - L IY0 +MATTILA M AA0 - T IY1 - L AH0 +MATTINA M AA0 - T IY1 - N AH0 +MATTING M AE1 - T IH0 NG +MATTINGLEY M AE1 - T IH0 NG - G L IY0 +MATTINGLY M AE1 - T IH0 NG - L IY0 +MATTIOLI M AA0 - T IY0 - OW1 - L IY0 +MATTIS M AE1 - T IH0 S +MATTISON M AE1 - T IH0 - S AH0 N +MATTKE M AE1 T - K IY0 +MATTOCKS M AE1 - T AH0 K S +MATTON M AE1 - T AH0 N +MATTOON M AH0 - T UW1 N +MATTOS M AE1 - T OW0 Z +MATTOX M AE1 - T AH0 K S +MATTOX(2) M AE1 - T AA2 K S +MATTRESS M AE1 - T R AH0 S +MATTRESS'S M AE1 - T R AH0 - S IH0 Z +MATTRESSES M AE1 - T R AH0 - S AH0 Z +MATTRESSES(2) M AE1 - T R AH0 - S IH0 Z +MATTS M AE1 T S +MATTSON M AE1 T - S AH0 N +MATTUCCI M AA0 - T UW1 - CH IY0 +MATTY M AE1 - T IY0 +MATULA M AA0 - T UW1 - L AH0 +MATULICH M AH0 - T Y UW1 - L IH0 HH +MATULIS M AE1 - T AH0 - L IH0 S +MATURATION M AE2 - CH ER0 - EY1 - SH AH0 N +MATURATION(2) M AE2 - CH UH0 - R EY1 - SH AH0 N +MATURE M AH0 - CH UH1 R +MATURE(2) M AH0 - T Y UH1 R +MATURED M AH0 - T Y UH1 R D +MATURES M AH0 - CH UH1 R Z +MATURES(2) M AH0 - T Y UH1 R Z +MATURING M AH0 - CH UH1 - R IH0 NG +MATURING(2) M AH0 - T Y UH1 - R IH0 NG +MATURITIES M AH0 - CH UH1 - R IH0 - T IY0 Z +MATURITY M AH0 - CH UH1 - R AH0 - T IY0 +MATURITY(2) M AH0 - T Y UH1 - R IH0 - T IY0 +MATURO M AA0 - T UH1 - R OW0 +MATUS M AE1 - T IH0 S +MATUSCHKA M AH0 - T AH1 SH - K AH0 +MATUSEK M AH0 - T UW1 - S EH0 K +MATUSI M AH0 - T UW1 - S IY0 +MATUSIAK M AH0 - T AH1 - S IY0 - AE0 K +MATUSIK M AH0 - T UW1 - S IH0 K +MATUSKA M AH0 - T AH1 - S K AH0 +MATUSSI M AH0 - T UW1 - S IY0 +MATUSZAK M AH0 - T AH1 - SH AH0 K +MATUSZEWSKI M AH0 - T AH0 - SH EH1 F S - K IY0 +MATYAS M AE1 - T Y AH0 S +MATZ M AE1 T S +MATZA M AA1 T - Z AH0 +MATZEK M AE1 T - Z IH0 K +MATZEN M AE1 T - Z AH0 N +MATZINGER M EY1 T - S IH0 - NG ER0 +MATZKE M AE1 T - S K IY0 +MATZNER M AE1 T - S N ER0 +MATZU M AE1 T - Z UW0 +MAU M OW1 +MAU(2) M AW1 +MAUCERI M AO0 - CH EH1 - R IY0 +MAUCH M AO1 CH +MAUCHER M AW1 - CH ER0 +MAUCHER(2) M AA1 - K ER0 +MAUCK M AO1 K +MAUD M AO1 D +MAUDE M AO1 D +MAUDLIN M AO1 D - L IH0 N +MAUE M AW1 - IY0 +MAUER M AW1 - ER0 +MAUGER M AO1 - G ER0 +MAUGERI M AO0 - JH EH1 - R IY0 +MAUGHAN M AO1 - G AH0 N +MAUI M AW1 - IY0 +MAUK M AO1 K +MAUL M AO1 L +MAULDEN M AW1 L - D AH0 N +MAULDIN M AW1 L - D AH0 N +MAULDING M AO1 L - D IH0 NG +MAULE M AO1 L +MAULED M AO1 L D +MAULER M AO1 - L ER0 +MAULL M AO1 L +MAULSBY M AO1 L S - B IY0 +MAULT M AO1 L T +MAULTASCH M AO1 L - T AE0 SH +MAULTSBY M AO1 L T S - B IY0 +MAUMEE M AW1 - M IY0 +MAUNA M AO1 - N AH0 +MAUND M AO1 N D +MAUNDERING M AO1 N - D ER0 - IH0 NG +MAUNDERINGS M AO1 N - D ER0 - IH0 NG Z +MAUNE M AO1 N +MAUNEY M AO1 - N IY0 +MAUNG M AO1 NG +MAUPIN M OW0 - P AE1 N +MAURA M AO1 - R AH0 +MAURA'S M AO1 - R AH0 Z +MAUREEN M AO0 - R IY1 N +MAURER M AO1 - R ER0 +MAURI M AO1 - R IY0 +MAURICE M AO0 - R IY1 S +MAURICE'S M AO1 - R AH0 - S AH0 Z +MAURICE'S(2) M AO0 - R IY1 - S AH0 Z +MAURICE(2) M AA1 - R IH0 S +MAURICIO M AW0 - R IY1 - S IY0 - OW0 +MAURIE M AO1 - R IY0 +MAURIELLO M AO2 - R IY0 - EH1 - L OW0 +MAURIN M AO1 - R IH0 N +MAURINE M AO0 - R IY1 - N IY0 +MAURITA M AO0 - R IY1 - T AH0 +MAURITANIA M AO2 - R IH0 - T EY1 - N IY0 - AH0 +MAURITANIA(2) M AO2 - R IH0 - T EY1 - N Y AH0 +MAURITIUS M AO0 - R IH1 - T IY0 - AH0 S +MAURITZ M AO1 - R IH0 T S +MAURIZIO M AO0 - R IH1 - Z IY0 - OW0 +MAURO M AO1 - R OW0 +MAURUS M AO1 - R AH0 S +MAURY M AO1 - R IY0 +MAUS M AO1 Z +MAUSER M AW1 - S ER0 +MAUSOLEUM M AO2 - S AH0 - L IY1 - AH0 M +MAUSOLF M AW1 S - OW0 L F +MAUSS M AO1 S +MAUSSER M AW1 - S ER0 +MAUST M AO1 S T +MAUTE M AO1 T +MAUTHE M AO1 DH +MAUTNER M AO1 T - N ER0 +MAUTZ M AO1 T S +MAUVE M AO1 V +MAUZEY M AO1 - Z IY0 +MAUZY M AO1 - Z IY0 +MAVARACH M AH0 - V AA1 - R AH0 CH +MAVE M EY1 V +MAVEN M EY1 - V AH0 N +MAVEN'S M EY1 - V AH0 N Z +MAVENS M EY1 - V AH0 N Z +MAVERICK M AE1 - V ER0 - IH0 K +MAVERICK'S M AE1 - V ER0 - IH0 K S +MAVERICK'S(2) M AE1 - V R IH0 K S +MAVERICK(2) M AE1 - V R IH0 K +MAVERICKS M AE1 - V ER0 - IH0 K S +MAVERICKS(2) M AE1 - V R IH0 K S +MAVERIX M AE1 - V ER0 - IH0 K S +MAVES M EY1 V Z +MAVIS M EY1 - V IH0 S +MAVRODI M AE0 - V R OW1 - D IY0 +MAVROULES M AE0 - V R UW1 L Z +MAW M AO1 +MAWHINNEY M AE1 - W IH0 - N IY0 +MAWKISH M AO1 - K IH0 SH +MAWR M AO1 - ER0 +MAWR(2) M AA1 R +MAWSON M AO1 - S AH0 N +MAWYER M AO1 - IY0 - ER0 +MAX M AE1 K S +MAX'S M AE1 K - S IH0 Z +MAXA M AE1 K - S AH0 +MAXAM M AE1 K - S AH0 M +MAXCY M AE1 K - S IY0 +MAXED M AE1 K S T +MAXELL M AE0 K - S EH1 L +MAXEY M AE1 K - S IY0 +MAXFIELD M AE1 K S - F IY0 L D +MAXHAM M AE1 K - S AH0 M +MAXI M AE1 K - S IY0 +MAXICARE M AE1 K - S IY0 - K EH1 R +MAXIE M AE1 K - S IY0 +MAXILLA M AE0 K - S IH1 - L AH0 +MAXIM M AE1 K - S AH0 M +MAXIMA M AE1 K - S AH0 - M AH0 +MAXIMAL M AE1 K - S AH0 - M AH0 L +MAXIME M AE0 K - S IY1 M +MAXIMILIAN M AE2 K - S IH0 - M IH1 - L IY0 - AH0 N +MAXIMIZATION M AE2 K - S IH0 - M IH0 - Z EY1 - SH AH0 N +MAXIMIZE M AE1 K - S AH0 - M AY2 Z +MAXIMIZED M AE1 K - S AH0 - M AY2 Z D +MAXIMIZES M AE1 K - S AH0 - M AY2 - Z IH0 Z +MAXIMIZING M AE1 K - S AH0 - M AY2 - Z IH0 NG +MAXIMS M AE1 K - S AH0 M Z +MAXIMUM M AE1 K - S AH0 - M AH0 M +MAXINE M AE0 K - S IY1 N +MAXION M AE1 K - S IY0 - AA0 N +MAXIS M AE1 K - S IY0 Z +MAXON M AE1 K - S AH0 N +MAXPHARMA M AE0 K S - F AA1 R - M AH0 +MAXSAVER M AE2 K - S EY1 - V ER0 +MAXSAVERS M AE2 K - S EY1 - V ER0 Z +MAXSON M AE1 K - S AH0 N +MAXTON M AE1 K - S T AH0 N +MAXTOR M AE1 K - S T ER0 +MAXUS M AE1 K - S AH0 S +MAXUS'S M AE1 K - S AH0 - S IH0 Z +MAXWELL M AE1 K - S W EH2 L +MAXWELL'S M AE1 K - S W EH2 L Z +MAXX M AE1 K S +MAXXAM M AE1 K - S AH0 M +MAXXIM M AE1 K - S IH0 M +MAXY M AE1 K - S IY0 +MAXZIDE M AE0 K - S IY1 - T AH0 +MAY M EY1 +MAY'S M EY1 Z +MAYA M AY1 - AH0 +MAYALL M EY1 - AO2 L +MAYAN M AY1 - AH0 N +MAYANS M AY1 - AH0 N Z +MAYBE M EY1 - B IY0 +MAYBEE M EY1 - B IY2 +MAYBELLE M EY2 - B EH1 L +MAYBELLINE M EY1 - B AH0 - L IY2 N +MAYBEN M EY1 - B AH0 N +MAYBERRY M EY1 - B EH2 - R IY0 +MAYBIN M EY1 - B IH0 N +MAYBURY M EY1 - B EH2 - R IY0 +MAYCOCK M EY1 - K AA2 K +MAYDA M EY1 - D AH0 +MAYDAY M EY1 - D EY0 +MAYDE M EY1 D +MAYDEN M EY1 - D AH0 N +MAYDENA M EY1 - D IH0 - N AH0 +MAYE M EY1 +MAYEAUX M EY1 - OW0 +MAYEDA M AY0 - IY1 - D AH0 +MAYER M EY1 - ER0 +MAYER'S M EY1 - ER0 Z +MAYERNIK M EY0 - ER1 - N IH0 K +MAYERS M EY1 - ER0 Z +MAYERSON M EY1 - ER0 - S AH0 N +MAYES M EY1 Z +MAYEUX M EY0 - OW1 +MAYFAIR M EY1 - F EH2 R +MAYFIELD M EY1 - F IY2 L D +MAYFLOWER M EY1 - F L AW2 - ER0 +MAYHALL M EY1 - HH AO2 L +MAYHAN M EY1 - AH0 N +MAYHEM M EY1 - HH EH2 M +MAYHER M EY1 - ER0 +MAYHEW M EY1 - HH Y UW0 +MAYHUE M EY1 - HH Y UW2 +MAYHUGH M EY1 - HH AH0 +MAYLAND M EY1 - L AH0 N D +MAYLE M EY1 L +MAYLE(2) M EY1 - L IY0 +MAYME M EY1 M +MAYNARD M EY1 - N ER0 D +MAYNARD'S M EY1 - N ER0 D Z +MAYNE M EY1 N +MAYNER M EY1 - N ER0 +MAYNES M EY1 N Z +MAYNOR M EY1 - N ER0 +MAYO M EY1 - OW0 +MAYON M EY0 - AO1 N +MAYONNAISE M EY1 - AH0 - N EY2 Z +MAYOR M EY1 - ER0 +MAYOR'S M EY1 - ER0 Z +MAYORAL M EY1 - ER0 - AH0 L +MAYORALTY M EY1 - ER0 - AH0 L - T IY0 +MAYORGA M EY2 - 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Z IH0 K +MAZZA M AE1 - Z AH0 +MAZZAFERRO M AE2 - Z AH0 - F EH1 - R OW0 +MAZZANTI M AA0 T - S AA1 N - T IY0 +MAZZARA M AA0 T - S AA1 - R AH0 +MAZZARELLA M AA0 T - S AA0 - R EH1 - L AH0 +MAZZEI M AA0 T - S EY1 - IY0 +MAZZELLA M AA0 T - S EH1 - L AH0 +MAZZEO M AE1 - Z IY0 - OW0 +MAZZETTI M AA0 T - S EH1 - T IY0 +MAZZIE M AE1 - Z IY0 +MAZZIOTTI M AA0 T - S IY0 - OW1 - T IY0 +MAZZO M AE1 - Z OW0 +MAZZOCCHI M AA0 T - S OW1 - K IY0 +MAZZOCCO M AA0 T - S OW1 - K OW0 +MAZZOLA M AA0 T - S OW1 - L AH0 +MAZZOLA'S M AA0 T - S OW1 - L AH0 Z +MAZZOLI M AH0 - Z OW1 - L IY0 +MAZZOLLA M AH0 - Z OW1 - L AH0 +MAZZONE M AA0 T - S OW1 - N IY0 +MAZZONI M AA0 T - S OW1 - N IY0 +MAZZORANA M AE2 - Z ER0 - AA1 - N AH0 +MAZZOTTA M AA0 T - S OW1 - T AH0 +MAZZUCA M AA0 T - S UW1 - K AH0 +MAZZUCCO M AA0 T - S UW1 - K OW0 +MBANK EH1 M - B AE1 NG K +MBEKI M B EH1 - K IY0 +MBEKI(2) AH0 M - B EH1 - K IY0 +MBEKI(3) EH0 M - B EH1 - K IY0 +MC M IH0 K +MC(2) EH1 M - S IY1 +MCABEE M AH0 - K AE1 - B IY0 +MCABEE(2) M AE1 - K AH0 - B IY0 +MCADAM M AH0 - K AE1 - D AH0 M +MCADAMS M AH0 - K AE1 - D AH0 M Z +MCADOO M AE1 - K AH0 - D UW2 +MCADORY M AH0 - K AE1 - D ER0 - IY0 +MCADOW M AH0 - K AE1 - D OW0 +MCAFEE M AE1 - K AH0 - F IY2 +MCAFEE(2) M AH0 - K AE1 - F IY2 +MCAFFEE M AE1 - K AH0 - F IY0 +MCAFFEE(2) M AH0 - K AE1 - F IY2 +MCAFFERTY M AH0 - K AE1 - F ER0 - T IY0 +MCALEER M AE1 - K AH0 - L IH0 R +MCALEESE M AE1 - K AH0 - L IY0 Z +MCALEXANDER M AH0 - K AE2 - L IH0 G - Z AE1 N - D ER0 +MCALINDEN M AH0 K - L IH1 N - D AH0 N +MCALISTER M AH0 - K AE1 - L AH0 - S T ER0 +MCALLEN M AH0 - K AO1 - L AH0 N +MCALLISTER M AH0 - K AE1 - L AH0 - S T ER0 +MCALOON M AE1 - K AH0 - L UW2 N +MCALPIN M AH0 - K AE1 L - P AH0 N +MCALPINE M AH0 - K AE1 L - P AY2 N +MCAMIS M AH0 - K AE1 - M AH0 S +MCAN M AH0 - K AE1 N +MCANALLY M AE1 - K AH0 - N AE2 - L IY0 +MCANANY M AH0 - K AE1 - N AH0 - N IY0 +MCANDREW M AH0 - K AE1 N - D R UW2 +MCANDREWS M AH0 - K AE1 N - D R UW2 Z +MCANELLY M AE1 - K AH0 - N AE2 - L IY0 +MCANINCH M AH0 - K AE1 - N IH0 N CH +MCANNALLY M AE1 - K AH0 - N AE2 - L IY0 +MCANULTY M AE1 - K AH0 - N AH0 L - T IY0 +MCARDLE M AH0 - K AA1 R - D AH0 L +MCARTHUR M AH0 - K AA1 R - TH ER0 +MCARTOR M AH0 - K AA1 R - T ER0 +MCATEE M AH0 - K AE1 - T IY0 +MCATEER M AE1 - K AH0 - T IH2 R +MCAULAY M AH0 - K AO1 - L EY0 +MCAULEY M AH0 - K AO1 - L IY0 +MCAULIFF M AH0 - K AO1 - L AH0 F +MCAULIFFE M AH0 - K AO1 - L AH0 F +MCAVITY M AH0 - K AE1 - V AH0 - T IY0 +MCAVOY M AE1 - K AH0 - V OY2 +MCBAIN M AH0 K - B EY1 N +MCBANE M AH0 K - B EY1 N +MCBAY M AH0 K - B EY1 +MCBEAN M AH0 K - B IY1 N +MCBEATH M AH0 K - B EH1 TH +MCBEE M AH0 K - B IY1 +MCBETH M AH0 K - B EH1 TH +MCBIRNEY M AH0 K - B ER1 - N IY0 +MCBRAYER M AH0 K - B R EY1 - ER0 +MCBREARTY M AH0 K - B R IH1 R - T IY0 +MCBREEN M AH0 K - B R IY1 N +MCBRIDE M AH0 K - B R AY1 D +MCBRIDGE M AH0 K - B R IH1 JH +MCBRIEN M AH0 K - B R AY1 - AH0 N +MCBROOM M AH0 K - B R UW1 M +MCBRYAR M AH0 K - B R AY1 - ER0 +MCBRYDE M AH0 K - B R AY1 D +MCBURNETT M AH0 K - B ER1 - N AH0 T +MCBURNEY M AH0 K - B ER1 - N IY0 +MCCAA M AH0 - K AA1 +MCCABE M AH0 - K EY1 B +MCCABE(2) M AE1 - K AH0 - B IY0 +MCCADDEN M AH0 - K AE1 - D AH0 N +MCCADE M AH0 - K EY1 D +MCCAFFERTY M AH0 - K AE1 - F ER0 - T IY0 +MCCAFFERY M AH0 - K AE1 - F R IY0 +MCCAFFREY M AH0 - K AE1 - F R IY0 +MCCAGHREN M AH0 - K AE1 - G R AH0 N +MCCAGUE M AH0 - K EY1 G +MCCAHAN M AH0 - K AE1 N +MCCAHILL M AH0 - K AA1 - HH IH2 L +MCCAIG M AH0 - K EY1 G +MCCAIN M AH0 - K EY1 N +MCCAIN'S M AH0 - K EY1 N Z +MCCALEB M AH0 - K EY1 - L AH0 B +MCCALIP M AH0 - K AE1 - L IH2 P +MCCALISTER M AH0 - K AE1 - L AH0 - S T ER0 +MCCALL M AH0 - K AO1 L +MCCALL'S M AH0 - K AO1 L Z +MCCALLA M AH0 - K AE1 - L AH0 +MCCALLEN M AH0 - K AO1 - L AH0 N +MCCALLEY M AH0 - K AE1 - L IY0 +MCCALLIE M AH0 - K AO1 - L IY0 +MCCALLION M AH0 - K AE1 - L Y AH0 N +MCCALLISTER M AH0 - K AE1 - L AH0 - S T ER0 +MCCALLON M AH0 - K AE1 - L AH0 N +MCCALLUM M AH0 - K AE1 - L AH0 M +MCCALMONT M AH0 - K AE1 L - M AH0 N T +MCCAMANT M AH0 - K AE1 - M AH0 N T +MCCAMBRIDGE M AH0 - K AE1 M - B R IH2 JH +MCCAMBRIDGE(2) M AH0 - K EY1 M - B R IH2 JH +MCCAMEY M AH0 - K AE1 - M IY0 +MCCAMISH M AH0 - K AE1 - M IH0 SH +MCCAMMON M AH0 - K AE1 - M AH0 N +MCCAMPBELL M AH0 - K AE1 M P - B AH0 L +MCCAMY M AH0 - K EY1 - M IY0 +MCCAN M AH0 - K AE1 N +MCCANCE M AH0 - K AE1 N S +MCCANDLESS M AH0 - K AE1 N D - L AH0 S +MCCANDLISH M AH0 - K AE1 N D - L IH0 SH +MCCANE M AH0 - K EY1 N +MCCANLESS M AH0 - K AE1 N - L AH0 S +MCCANN M AH0 - K AE1 N +MCCANN'S M AH0 - K AE1 N Z +MCCANNA M AH0 - K AE1 - N AH0 +MCCANNON M AH0 - K AE1 - N AH0 N +MCCANTS M AH0 - K AE1 N T S +MCCARD M AH0 - K AA1 R D +MCCARDELL M AH0 - K AA1 R - D AH0 L +MCCARDLE M AH0 - K AA1 R - D AH0 L +MCCAREY M AH0 - K AE1 - R IY0 +MCCARGAR M AH0 - K AA1 R - G ER0 +MCCARGO M AH0 - K AA1 R - G OW0 +MCCARL M AH0 - K AA1 R L +MCCARLEY M AH0 - K AA1 R - L IY0 +MCCARN M AH0 - K AA1 R N +MCCARNEY M AH0 - K AA1 R - N IY0 +MCCARRAN M AH0 - K EH1 - R AH0 N +MCCARRELL M AH0 - K AE1 - R AH0 L +MCCARREN M AH0 - K EH1 - R AH0 N +MCCARRICK M AH0 - K AE1 - R IH0 K +MCCARROLL M AH0 - K AE1 - R AH0 L +MCCARRON M AH0 - K AE1 - R AH0 N +MCCARRY M AH0 - K AE1 - R IY0 +MCCARSON M AH0 - K AA1 R - S AH0 N +MCCART M AH0 - K AA1 R T +MCCARTAN M AH0 - K AA1 R - T AH0 N +MCCARTEN M AH0 - K AA1 R - T AH0 N +MCCARTER M AH0 - K AA1 R - T ER0 +MCCARTHA M AH0 - K AA1 R - TH AH0 +MCCARTHY M AH0 - K AA1 R - TH IY0 +MCCARTHY'S M AH0 - K AA1 R - TH IY0 Z +MCCARTHYISM M AH0 - K AA1 R - TH IY0 - IH0 - Z AH0 M +MCCARTHYITE M AH0 - K AA1 R - TH IY0 - AY2 T +MCCARTIN M AH0 - K AA1 R - T AH0 N +MCCARTNEY M AH0 - K AA1 R T - N IY0 +MCCARTT M AH0 - K AA1 R T +MCCARTY M AH0 - K AA1 R - T IY0 +MCCARVER M AH0 - K AA1 R - V ER0 +MCCARVILLE M AH0 - K AA0 R - V AH0 L +MCCARY M IY1 - K EH0 - R IY0 +MCCASKEY M AH0 - K AE1 S - K IY0 +MCCASKILL M AH0 - K AE1 S - K AH0 L +MCCASLAND M AH0 - K AE1 Z - L AH0 N D +MCCASLIN M AH0 - K AE1 Z - L AH0 N +MCCAUGHAN M AH0 - K AO1 N +MCCAUGHEY M AH0 - K AO1 - IY0 +MCCAUL M AH0 - K AO1 L +MCCAULEY M AH0 - K AO1 - L IY0 +MCCAULLEY M AH0 - K AO1 - L IY0 +MCCAUSLAND M AH0 - K AO1 Z - L AH0 N D +MCCAUSLIN M AH0 - K AO1 Z - L AH0 N +MCCAUTHY M AH0 - K AW1 - TH IY0 +MCCAW M AH0 - K AO1 +MCCAW'S M AH0 - K AO1 Z +MCCAWLEY M AH0 - K AO1 - L IY0 +MCCAY M AH0 - K EY1 +MCCHESNEY M AH0 K - CH EH1 Z - N IY0 +MCCHRISTIAN M AH0 K - R IH1 S - CH AH0 N +MCCLAFFERTY M AH0 K - L AE1 - F ER0 - T IY0 +MCCLAFLIN M AH0 K - L AE1 F - L AH0 N +MCCLAIN M AH0 - K L EY1 N +MCCLAINE M AH0 - K L EY1 N +MCCLAM M AH0 - K L AE1 M +MCCLANAHAN M AH0 K - L AE1 - N AH0 - HH AE0 N +MCCLANE M AH0 - K L EY1 N +MCCLARAN M AH0 K - L AE1 - R AH0 N +MCCLARD M IY1 K - L ER0 D +MCCLAREN M AH0 - K L EH1 - R AH0 N +MCCLARNON M AH0 K - L AA1 R - N AH0 N +MCCLARTY M AH0 K - L AA1 R - T IY0 +MCCLARY M AH0 - K L EH1 - R IY0 +MCCLASKEY M AH0 K - L AE1 S - K IY0 +MCCLATCHEY M AH0 K - L AE1 - CH IY0 +MCCLATCHY M AH0 K - L AE1 - CH IY0 +MCCLAUGHERTY M AH0 K - L AE1 - F ER0 - T IY0 +MCCLAVE M AH0 - K L EY1 V +MCCLAY M AH0 K - L EY1 +MCCLEAF M AH0 K - L IY1 F +MCCLEAN M AH0 K - L IY1 N +MCCLEARY M AH0 K - L IH1 - R IY0 +MCCLEARY'S M AH0 K - L IH1 - R IY0 Z +MCCLEAVE M AH0 K - L IY1 V +MCCLEERY M AH0 K - L IH1 - R IY0 +MCCLEES M AH0 - K L IY1 Z +MCCLEESE M AH0 K - L IY1 S +MCCLELLAN M AH0 - K L EH1 - L AH0 N +MCCLELLAND M AH0 - K L EH1 - L AH0 N D +MCCLELLEN M AH0 - K L EH1 - L AH0 N +MCCLEMENTS M AH0 - K L EH1 - M AH0 N T S +MCCLENAGHAN M AH0 - K L EH1 - N AH0 - G AH0 N +MCCLENAHAN M AH0 - K L EH1 - N AH0 - HH AE0 N +MCCLENATHAN M AH0 K - L EH1 - N AH0 - TH AH0 N +MCCLENDON M AH0 K - L EY1 N - D AH0 N +MCCLENNY M AH0 K - L EH1 - N IY0 +MCCLESKEY M AH0 - K L EH1 S - K IY0 +MCCLIMANS M AH0 - K L AY1 - M AH0 N Z +MCCLIMANS(2) M AH0 K - L IH1 - M AH0 N Z +MCCLINTIC M AH0 K - L IH1 N - T IH0 K +MCCLINTICK M AH0 K - L IH1 N - T IH0 K +MCCLINTOCK M AH0 G - L IH1 N - T AA0 K +MCCLINTON M AH0 K - L IH1 N - T AH0 N +MCCLISH M AH0 K - L IH1 SH +MCCLORY M AH0 K - L AO1 - R IY0 +MCCLOSKEY M AH0 - K L AO1 S - K IY0 +MCCLOSKY M AH0 - K L AO1 S - K IY0 +MCCLOUD M AH0 K - L AW1 D +MCCLOY M AH0 K - L OY1 +MCCLUER M AH0 - K L UW1 R +MCCLUNE M AH0 - K L UW1 N +MCCLUNEY M AH0 K - L UW1 - N IY0 +MCCLUNG M AH0 K - L AH1 NG +MCCLURE M AH0 - K L UW1 R +MCCLURG M AH0 K - L ER1 G +MCCLURKIN M AH0 K - L ER1 - K AH0 N +MCCLUSKEY M AH0 K - L AH1 S - K IY0 +MCCOIG M AH0 - K OY1 G +MCCOIN M AH0 - K OY1 N +MCCOLE M AH0 - K OW1 L +MCCOLGAN M AH0 - K OW1 L - G AH0 N +MCCOLL M AH0 - K OW1 L +MCCOLLAM M AH0 - K AA1 - L AH0 M +MCCOLLEY M AH0 - K AA1 - L IY0 +MCCOLLISTER M AH0 - K AA1 - L AH0 - S T ER0 +MCCOLLOCH M AH0 - K AA1 - L AH0 K +MCCOLLOM M AH0 - K AA1 - L AH0 M +MCCOLLOUGH M AH0 - K AA1 - L AH0 +MCCOLLOUGH(2) M AH0 - K AA1 - L AW0 +MCCOLLUM M AH0 - K AO1 - L AH0 M +MCCOLM M AH0 - K OW1 M +MCCOMAS M AH0 - K OW1 - M AH0 S +MCCOMB M AH0 - K OW1 M +MCCOMBER M AH0 - K OW1 M - B ER0 +MCCOMBER(2) M AH0 - K OW1 - M ER0 +MCCOMBIE M AH0 - K OW1 M - B IY0 +MCCOMBIE(2) M AH0 - K OW1 - M IY0 +MCCOMBS M AH0 - K AA1 M Z +MCCOMMON M AH0 - K AA1 - M AH0 N +MCCOMMONS M AH0 - K AA1 - M AH0 N Z +MCCOMSEY M AH0 - K AA1 M - S IY0 +MCCONAGHY M AH0 - K AA1 - N AH0 - G IY0 +MCCONAHA M AH0 - K AA1 - N AH0 - HH AA0 +MCCONAHAY M AH0 - K AA1 - N AH0 - HH EY2 +MCCONAHY M AH0 - K AA1 - N AH0 - HH IY0 +MCCONATHY M AH0 - K AA1 - N AH0 - TH IY0 +MCCONATHY(2) M AE1 - K AH0 - N AE2 - TH IY0 +MCCONAUGHEY M AH0 - K AA1 - N AH0 - G EY0 +MCCONAUGHY M AH0 - K AA1 - N AH0 - G IY0 +MCCONE M AH0 - K OW1 N +MCCONICO M AH0 - K AA1 - N AH0 - K OW0 +MCCONKEY M AH0 - K AA1 NG - K IY0 +MCCONN M AH0 - K AA1 N +MCCONNAUGHEY M AH0 - K AA1 - N AH0 - G EY0 +MCCONNEL M AH0 - K AA1 - N AH0 L +MCCONNEL'S M AH0 - K AA1 - N AH0 L Z +MCCONNELL M AH0 - K AA1 - N AH0 L +MCCONNON M AH0 - K AA1 - N AH0 N +MCCONVILLE M AH0 - K AA1 N - V IH2 L +MCCOOEY M AH0 - K UW1 - IY0 +MCCOOK M AH0 - K UH1 K +MCCOOL M AH0 - K UW1 L +MCCORD M AH0 - K AO1 R D +MCCORKEL M AH0 - K AO1 R - K AH0 L +MCCORKELL M AH0 - K AO1 R - K AH0 L +MCCORKINDALE M AH0 - K AO1 R - K AH0 N - D EY2 L +MCCORKLE M AH0 - K AO1 R - K AH0 L +MCCORMAC M AH0 - K AO1 R - M AH0 K +MCCORMACK M AH0 - K AO1 R - M AH0 K +MCCORMICK M AH0 - K AO1 R - M IH0 K +MCCORMICK'S M AH0 - K AO1 R - M IH0 K S +MCCORQUODALE M AH0 - K AO1 R - K AH0 - D EY2 L +MCCORRY M AH0 - K AO1 - R IY0 +MCCORT M AH0 - K AO1 R T +MCCORVEY M AH0 - K AO1 R - V IY0 +MCCOSH M AH0 - K AA1 SH +MCCOSKEY M AH0 - K AA1 S - K IY0 +MCCOTTER M AH0 - K AA1 - T ER0 +MCCOUN M AH0 - K AW1 N +MCCOURT M AH0 - K AO1 R T +MCCOWAN M AH0 - K AW1 - AH0 N +MCCOWEN M AH0 - K AW1 - AH0 N +MCCOWIN M AH0 - K AW1 - IH0 N +MCCOWN M AH0 - K AW1 N +MCCOY M AH0 - K OY1 +MCCOYS M AH0 - K OY1 Z +MCCRACKEN M AH0 - K R AE1 - K AH0 N +MCCRACKIN M AH0 - K R AE1 - K AH0 N +MCCRADY M AH0 K - R EY1 - D IY0 +MCCRAE M AH0 K - R EY1 +MCCRANEY M AH0 K - R AE1 - N IY0 +MCCRANIE M AH0 K - R EY1 - N IY0 +MCCRARY M AH0 - K R EH1 - R IY0 +MCCRAVY M AH0 K - R EY1 - V IY0 +MCCRAW M AH0 K - R AO1 +MCCRAY M AH0 K - R EY1 +MCCREA M AH0 K - R EY1 +MCCREADIE M AH0 K - R IY1 - D IY0 +MCCREADY M AH0 K - R IY1 - D IY0 +MCCREARY M AH0 - K R IH1 - R IY0 +MCCREDIE M AH0 K - R IY1 - D IY0 +MCCREE M AH0 - K R IY1 +MCCREEDY M AH0 K - R IY1 - D IY0 +MCCREERY M AH0 - K R IH1 - R IY0 +MCCREIGHT M AH0 K - R EY1 T +MCCRELESS M AH0 - K R IY1 - L AH0 S +MCCRICKARD M AH0 - K R IH1 - K ER0 D +MCCRIGHT M AH0 K - R AY1 T +MCCRILLIS M AH0 - K R IH1 - L AH0 S +MCCRIMMON M AH0 - K R IH1 - M AH0 N +MCCROCKLIN M AH0 K - R AA1 K - L AH0 N +MCCRONE M AH0 - K R OW1 N +MCCROREY M AH0 K - R AO1 - R IY0 +MCCRORY M AH0 K - R AO1 - R IY0 +MCCROSKEY M AH0 - K R AA1 S - K IY0 +MCCROSSEN M AH0 - K R AO1 - S AH0 N +MCCRUDDEN M AH0 - K R AH1 - D AH0 N +MCCRUM M AH0 - K R AH1 M +MCCRUMB M AH0 - K R AH1 M +MCCRYSTAL M AH0 K - R IH1 - S T AH0 L +MCCUAN M AH0 - K UW1 - AH0 N +MCCUBBIN M AH0 - K AH1 - B AH0 N +MCCUBBINS M AH0 - K AH1 - B AH0 N Z +MCCUE M AH0 - K Y UW1 +MCCUEN M AH0 - K Y UW1 N +MCCUIN M AH0 - K UW1 - AH0 N +MCCUISTION M AH0 - K W IH1 - SH AH0 N +MCCUISTON M AH0 - K W IH1 - S T AH0 N +MCCULLA M AH0 - K AH1 - L AH0 +MCCULLAGH M AH0 - K AH1 - L AH0 G +MCCULLAH M AH0 - K AH1 - L AH0 +MCCULLAR M AH0 - K AH1 - L ER0 +MCCULLARS M AH0 - K AH1 - L ER0 Z +MCCULLEN M AH0 - K AH1 - L AH0 N +MCCULLER M AH0 - K AH1 - L ER0 +MCCULLERS M AH0 - K AH1 - L ER0 Z +MCCULLEY M AH0 - K AH1 - L IY0 +MCCULLOCH M AH0 - K AH1 - L AH0 K +MCCULLOH M AH0 - K AH1 - L AH0 +MCCULLOUGH M AH0 - K AH1 - L AH0 +MCCULLUM M AH0 - K AH1 - L AH0 M +MCCULLY M AH0 - K AH1 - L IY0 +MCCUMBER M AH0 - K AH1 M - B ER0 +MCCUNE M AH0 - K Y UW1 N +MCCUR M AH0 - K ER1 +MCCURDY M AH0 - K ER1 - D IY0 +MCCURLEY M AH0 - K ER1 - L IY0 +MCCURRY M AH0 - K ER1 - IY0 +MCCUSKER M AH0 - K AH1 - S K ER0 +MCCUTCHAN M AH0 - K AH1 - CH AH0 N +MCCUTCHEN M AH0 - K AH1 - CH AH0 N +MCCUTCHEON M AH0 - K AH1 - CH AH0 N +MCCUVEY M AH0 - K AH1 - V IY0 +MCDADE M AH0 K - D EY1 D +MCDADE'S M AH0 K - D EY1 D Z +MCDAID M AH0 K - D EY1 D +MCDANEL M AH0 K - D AE1 - N AH0 L +MCDANIEL M AH0 K - D AE1 - N Y AH0 L +MCDANIELS M AH0 K - D AE1 - N Y AH0 L Z +MCDANNEL M AH0 K - D AE1 - N AH0 L +MCDARIS M AH0 K - D AE1 - R AH0 S +MCDAVID M AH0 K - D EY1 - V AH0 D +MCDAVITT M AH0 K - D AE1 - V AH0 T +MCDEAL M AH0 K - 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D UW1 - G AH0 L Z +MCDOUGLE M AH0 K - D UW1 - G AH0 L +MCDOW M AH0 K - D AW1 +MCDOWALL M AH0 K - D AW1 - AH0 L +MCDOWELL M AH0 K - D AW1 - AH0 L +MCDUFF M AH0 K - D AH1 F +MCDUFFEE M AH0 K - D AH1 - F IY0 +MCDUFFIE M AH0 K - D AH1 - F IY0 +MCDUFFY M AH0 K - D AH1 - F IY0 +MCDUGAL M AH0 K - D UW1 - G AH0 L +MCDURMAN M AH0 K - D ER1 - M AH0 N +MCEACHERN M AH0 - K IY1 - CH ER0 N +MCEACHIN M AH0 - K IY1 - CH AH0 N +MCELDERRY M AE1 - K AH0 L - D IH2 - R IY0 +MCELDOWNEY M AE1 - K AH0 L - D AW2 - N IY0 +MCELFRESH M AE1 - K AH0 L - F R EH2 SH +MCELHANEY M AE1 - K AH0 L - HH EY2 - N IY0 +MCELHANNON M AE1 - K AH0 L - HH AE2 - N AH0 N +MCELHANY M AE1 - K AH0 L - HH EY2 - N IY0 +MCELHENEY M AE1 - K AH0 L - HH EY2 - N IY0 +MCELHENY M AE1 - K AH0 L - HH IY2 - N IY0 +MCELHINEY M AE1 - K AH0 L - HH IH2 - N IY0 +MCELHINNEY M AE1 - K AH0 L - HH IH2 - N IY0 +MCELHINNY M AE1 - K AH0 L - HH IH2 - N IY0 +MCELHONE M AE1 - K AH0 L - HH OW2 N +MCELLIGOTT M AH0 - K EH1 - L AH0 - G AH0 T +MCELMURRAY M AE1 - K AH0 L - M ER2 - IY0 +MCELMURRY M AE1 - K AH0 L - M ER2 - R IY0 +MCELRATH M AE1 - K AH0 L - R AE2 TH +MCELRATH(2) M AH0 - K EH1 L - R AE2 TH +MCELRAVY M AE1 - K AH0 L - R EY2 - V IY0 +MCELREATH M AE1 - K AH0 L - R AE2 TH +MCELROY M AE1 - K AH0 L - R OY2 +MCELVAIN M AE1 - K AH0 L - V EY2 N +MCELVAINE M AE1 - K AH0 L - V EY2 N +MCELVEEN M AE1 - K AH0 L - V IY2 N +MCELWAIN M AE1 - K AH0 L - W EY2 N +MCELWAINE M AE1 - K AH0 L - W EY2 N +MCELWEE M AE1 - K AH0 L - W IY0 +MCELYEA M AE1 - K AH0 L - Y EY2 +MCENANEY M AE1 - K AH0 - N EY2 - N IY0 +MCENANY M AE1 - K AH0 - N EY2 - N IY0 +MCENDREE M AH0 - K EH1 N - D R IY2 +MCENERNEY M AE1 - K AH0 - N EH0 R - N IY0 +MCENERY M AH0 - K EH1 - N ER0 - IY0 +MCENROE M AE1 - K AH0 N - R OW0 +MCENTEE M AE1 - K AH0 N - T IY0 +MCENTEE(2) M AH0 - K EH1 N - T IY0 +MCENTIRE M AE1 - K AH0 N - T AY0 R +MCENTYRE M AE1 - K AH0 N - T AY0 R +MCERLEAN M AH0 - K ER1 - L IY0 N +MCEUEN M AH0 - K Y UW1 - AH0 N +MCEVER M AH0 K - EH1 - V ER0 +MCEVERS M AH0 K - EH1 - V ER0 Z +MCEVILLY M AH0 - K EH1 - V AH0 - L IY0 +MCEVOY M AE1 - K AH0 - V OY2 +MCEWAN M AE1 - K UW0 - AE0 N +MCEWEN M AH0 - K Y UW1 - AH0 N +MCFADDEN M AH0 K - F AE1 - D AH0 N +MCFADDEN'S M AH0 K - F AE1 - D AH0 N Z +MCFADDIN M AH0 K - F AE1 - D AH0 N +MCFADIN M AH0 K - F AE1 - D AH0 N +MCFADYEN M AH0 K - F AE1 - D IY0 - AH0 N +MCFALL M AH0 K - F AO1 L +MCFALLAND M AH0 K - F AE1 - L AH0 N D +MCFALLS M AH0 K - F AO1 L Z +MCFANN M AH0 K - F AE1 N +MCFARLAN M AH0 K - F AA1 R - L AH0 N +MCFARLAND M AH0 K - F AA1 R - L AH0 N D +MCFARLANE M AH0 K - F AA1 R - L AH0 N +MCFARLANE'S M AH0 K - F AA1 R - L AH0 N Z +MCFARLIN M AH0 K - F AA1 R - L AH0 N +MCFARLING M AH0 K - F AA1 R - L IH0 NG +MCFARREN M AH0 K - F EH1 - R AH0 N +MCFATE M AH0 K - F EY1 T +MCFATRIDGE M AH0 K - F AE1 - T R IH0 JH +MCFATTER M AH0 K - F AE1 - T ER0 +MCFAUL M AH0 K - F AO1 L +MCFAYDEN M AH0 K - F EY1 - D AH0 N +MCFEE M AH0 K - F IY1 +MCFEELY M AH0 K - F IY1 - L IY0 +MCFEETERS M AH0 K - F IY1 - T ER0 Z +MCFERRAN M AH0 K - F EH1 - R AH0 N +MCFERREN M AH0 K - F EH1 - R AH0 N +MCFERRIN M AH0 K - F EH1 - R AH0 N +MCFERRON M AH0 K - F EH1 - R AH0 N +MCFETRIDGE M AH0 K - F EH1 - T R IH0 JH +MCFLY M AH0 K - F L AY1 +MCFLY'S M AH0 K - F L AY1 Z +MCFUN M AH0 K - F AH1 N +MCFUN'S M AH0 K - F AH1 N Z +MCGAFFEY M AH0 - G AE1 - F IY0 +MCGAGH M AH0 - G AO1 +MCGAHA M AH0 - G AA1 - HH AH0 +MCGAHAN M AH0 - G AE1 - HH AH0 N +MCGAHEE M AH0 - G AE1 - HH IY0 +MCGAHEY M AH0 - G AE1 - HH IY0 +MCGALLEY M AH0 - G AE1 - L IY0 +MCGALLEY'S M AH0 - G AE1 - L IY0 Z +MCGALLIARD M AH0 - G AE1 - L IY0 - AA0 R D +MCGALLIARD(2) M AH0 - G AE1 L - Y AA0 R D +MCGANN M AH0 - G AE1 N +MCGANNON M AH0 - G AE1 - N AH0 N +MCGARITY M AH0 - G AE1 - R AH0 - T IY0 +MCGARR M AH0 - G AA1 R +MCGARRAH M AH0 - G AE1 - R AH0 +MCGARRIGLE M AH0 - G AE1 - R AH0 - G AH0 L +MCGARRITY M AH0 - G AE1 - R AH0 - T IY0 +MCGARRY M AH0 - G EH1 - R IY0 +MCGARVEY M AH0 - G AA0 R - V EY1 +MCGARY M AH0 - G EH1 - R IY0 +MCGATH M AH0 - G AE1 TH +MCGAUGH M AH0 - G AO1 +MCGAUGHEY M AH0 - G AO1 - IY0 +MCGAUGHY M AH0 - G AO1 - IY0 +MCGAULEY M AH0 - G AO1 - L IY0 +MCGAVIN M AH0 - G AE1 - V AH0 N +MCGAVOCK M AH0 - G AE1 - V AH0 K +MCGAW M AH0 - G AO1 +MCGEACHY M AH0 - G IY1 - CH IY0 +MCGEARY M AH0 - G IH1 - R IY0 +MCGEE M AH0 - G IY1 +MCGEE'S M AH0 - G IY1 Z +MCGEEAN M AH0 - G IY1 - AH0 N +MCGEEAN'S M AH0 - G IY1 - AH0 N Z +MCGEEHAN M AH0 - G IY1 - HH AH0 N +MCGEEVER M AH0 - G IY1 - V ER0 +MCGEGAN M AH0 - G EH1 - G AH0 N +MCGEORGE M AH0 K - JH AO1 R JH +MCGEOUGH M AH0 - G AH1 F +MCGETTIGAN M AH0 - G EH1 - T AH0 - G AH0 N +MCGHEE M AH0 - G IY1 +MCGHIE M AH0 - G IY1 +MCGIBBON M AH0 - G IH1 - B AH0 N +MCGILL M AH0 - G IH1 L +MCGILLEN M AH0 - G IH1 - L AH0 N +MCGILLICUDDY M AH0 - G IH1 - L AH0 - K AH0 - D IY0 +MCGILLIS M AH0 - G IH1 - L AH0 S +MCGILLIVRAY M AH0 - G IH1 - L AH0 - V R EY0 +MCGILTON M AH0 - G IH1 L - T AH0 N +MCGILVERY M AH0 - G IH1 L - V ER0 - IY0 +MCGILVRAY M AH0 - G IH1 L - V R IY0 +MCGINESS M AH0 - G IH1 - N AH0 S +MCGINLEY M AH0 - G IH1 N - L IY0 +MCGINN M AH0 - G IH1 N +MCGINNES M AH0 - G IH1 N Z +MCGINNESS M AH0 - G IH1 - N AH0 S +MCGINNIS M AH0 - G IH1 - N AH0 S +MCGINNISS M AH0 - G IH1 - N AH0 S +MCGINNITY M AH0 - G IH1 - N AH0 - T IY0 +MCGINTY M AH0 - G IH1 N - T IY0 +MCGIRR M AH0 - G ER1 +MCGIRT M AH0 - G ER1 T +MCGIVERN M AH0 - G IH1 - V ER0 N +MCGIVNEY M AH0 - G IH1 V - N IY0 +MCGLADE M AH0 G - L EY1 D +MCGLAMERY M AH0 - G L AE1 - M ER0 - IY0 +MCGLASHAN M AH0 G - L AE1 - SH AH0 N +MCGLASSON M AH0 G - L AE1 - S AH0 N +MCGLAUGHLIN M AH0 G - L AO1 - F L AH0 N +MCGLAUN M AH0 G - L AO1 N +MCGLINCHEY M AH0 - G L IH1 N - CH IY0 +MCGLINN M AH0 G - L IH1 N +MCGLOCKLIN M AH0 G - L AA1 K - L AH0 N +MCGLOIN M AH0 - G L OY1 N +MCGLONE M AH0 - G L OW1 N +MCGLORY M AH0 G - L AO1 - R IY0 +MCGLOTHEN M AH0 - G L AA1 - TH AH0 N +MCGLOTHIN M AH0 - G L AA1 - TH AH0 N +MCGLOTHLIN M AH0 G - L AA1 TH - L AH0 N +MCGLYNN M AH0 G - L IH1 N +MCGOEY M AH0 - G AA1 - IY0 +MCGOFF M AH0 - G AO1 F +MCGOLDRICK M AH0 - G OW1 L - D R AH0 K +MCGOLS M AH0 K - G AA1 L Z +MCGONAGLE M AH0 - G AA1 - N AH0 - G AH0 L +MCGONIGAL M AH0 - G AA1 - N AH0 - G AH0 L +MCGONIGLE M AH0 - G AA1 - N AH0 - G AH0 L +MCGOUGH M AH0 - G AW1 +MCGOUGH(2) M AH0 - G AH1 F +MCGOURTY M AH0 - G UH1 R - T IY0 +MCGOVERN M AH0 - G AH1 - V ER0 N +MCGOVERN'S M AH0 - G AH1 - V ER0 N Z +MCGOWAN M AH0 - G AW1 - AH0 N +MCGOWAN'S M AH0 - G AW1 - AH0 N Z +MCGOWEN M AH0 - G AW1 - AH0 N +MCGOWIN M AH0 K - G AW1 - AH0 N +MCGOWN M AH0 - G AW1 N +MCGRADY M AH0 - G R EY1 - D IY0 +MCGRAIL M AH0 - G R EY1 L +MCGRAIN M AH0 - G R EY1 N +MCGRANAHAN M AH0 - G R AE1 - N AH0 - HH AE2 N +MCGRANE M AH0 - G R EY1 N +MCGRATH M AH0 - G R AE1 TH +MCGRAW M AH0 - G R AO1 +MCGRAY M AH0 - G R EY1 +MCGREAL M AH0 - G R IY1 L +MCGREEVEY M AH0 - G R IY1 - V IY0 +MCGREEVY M AH0 - G R IY1 - V IY0 +MCGREGOR M AH0 - G R EH1 - G ER0 +MCGREGORY M AH0 - G R EH1 - G ER0 - IY0 +MCGREVIN M AH0 - G R EH1 - V AH0 N +MCGREW M AH0 - G R UW1 +MCGRIFF M AH0 - G R IH1 F +MCGROARTY M AH0 - G R AO1 R - T IY0 +MCGROGAN M AH0 - G R OW1 - G AH0 N +MCGRORY M AH0 - G R AO1 - R IY0 +MCGRUDER M AH0 - G R UW1 - D ER0 +MCGUANE M AH0 - G W EY1 N +MCGUCKIN M AH0 - G AH1 - K AH0 N +MCGUE M AH0 - G Y UW1 +MCGUFFEE M AH0 - G AH1 - F IY0 +MCGUFFEY M AH0 - G AH1 - F IY0 +MCGUFFIE M AH0 - G AH1 - F IY0 +MCGUFFIN M AH0 - G AH1 - F AH0 N +MCGUIGAN M AH0 - G IH1 - G AH0 N +MCGUINESS M AH0 - G IH1 - N AH0 S +MCGUINN M AH0 - G IH1 N +MCGUINNESS M AH0 - G IH1 - N AH0 S +MCGUIRE M AH0 G - W AY1 R +MCGUIRK M AH0 - G ER1 K +MCGUIRT M AH0 - G ER1 T +MCGURK M AH0 - G ER1 K +MCGURN M AH0 - G ER1 N +MCGUYER M AH0 - G AY1 - ER0 +MCGWIRE M AH0 G - W AY1 R +MCHAFFIE M AH0 - K AE1 - F IY0 +MCHALE M AH0 - K EY1 L +MCHAM M AH0 - K AE1 M +MCHAN M AH0 - K AE1 N +MCHANEY M AH0 - K AE1 - N IY0 +MCHARGUE M AH0 - K AA1 R G +MCHARGUE(2) M AH0 - K AA1 R - G Y UW0 +MCHATTON M AH0 - K AE1 - T AH0 N +MCHENRY M AH0 - K EH1 N - R IY0 +MCHONE M AH0 - K OW1 N +MCHUGH M AH0 - K Y UW1 +MCILHENNY M AE1 - K IH2 L - HH EH2 - N IY0 +MCILRATH M AE1 - K AH0 L - R AE2 TH +MCILRATH(2) M AH0 - K IH1 L - R AE2 TH +MCILROY M AE1 - K AH0 L - R OY2 +MCILROY(2) M AH0 - K IH1 L - R OY2 +MCILVAIN M AE1 - K IH2 L - V EY2 N +MCILVAIN(2) M AH0 - K IH1 L - V EY2 N +MCILVAINE M AE1 - K IH2 L - V EY2 N +MCILVAINE(2) M AH0 - K IH1 L - V EY2 N +MCILVEEN M AE1 - K IH2 L - V IY2 N +MCILVEEN(2) M AH0 - K IH1 L - V IY2 N +MCILWAIN M AE1 - K IH2 L - W EY2 N +MCILWAIN(2) M AH0 - K IH1 L - W EY2 N +MCINERNEY M AE1 - K AH0 - N EH0 R - N IY0 +MCINERNY M AH0 - K IH1 - N ER0 - N IY0 +MCINGVALE M AE1 - K IH0 NG - V EY2 L +MCINNES M AH0 - G IH1 - N AH0 S +MCINNIS M AH0 - G IH1 - N AH0 S +MCINROY M AE1 - K IH2 N - R OY2 +MCINTEE M AE1 - K IH2 N - T IY2 +MCINTIRE M AE1 - K IH2 N - T AY2 R +MCINTOSH M AE1 - K AH0 N - T AO2 SH +MCINTURF M AE1 - K IH2 N - T ER2 F +MCINTURFF M AE1 - K IH2 N - T ER2 F +MCINTYRE M AE1 - K IH2 N - T AY2 R +MCINVALE M AE1 - K IH2 N - V EY2 L +MCISAAC M AH0 - K AY1 - Z AH0 K +MCIVER M AH0 - K IH1 - V ER0 +MCIVOR M AH0 - K IH1 - V ER0 +MCJUNKIN M AH0 K - JH AH1 NG - K AH0 N +MCJUNKINS M AH0 K - JH AH1 NG - K AH0 N Z +MCKAIG M AH0 - K EY1 G +MCKAIN M AH0 - K EY1 N +MCKAMEY M AH0 - K AE1 - M IY0 +MCKANE M AH0 - K EY1 N +MCKANNA M AH0 - K AE1 - N AH0 +MCKAY M AH0 - K EY1 +MCKEAG M AH0 - K IY1 G +MCKEAGUE M AH0 - K IY1 G +MCKEAN M AH0 - K IY1 N +MCKEAND M AH0 - K IY1 N D +MCKECHNIE M AH0 - K EH1 K - N IY0 +MCKEE M AH0 - K IY1 +MCKEE'S M AH0 - K IY1 Z +MCKEEGAN M AH0 - K IY1 - G AH0 N +MCKEEHAN M AH0 - K IY1 - HH AH0 N +MCKEEL M AH0 - K IY1 L +MCKEEMAN M AH0 - K IY1 - M AH0 N +MCKEEN M AH0 - K IY1 N +MCKEESPORT M AH0 - K IY1 S - P AO2 R T +MCKEEVER M AH0 - K IY1 - V ER0 +MCKEITHAN M AH0 - K IY1 - TH AH0 N +MCKEITHEN M AH0 - K IY1 - TH AH0 N +MCKELL M AH0 - K EH1 L +MCKELLAN M AH0 - K EH1 - L AH0 N +MCKELLAR M AH0 - K EH1 - L ER0 +MCKELLER M AH0 - K EH1 - L ER0 +MCKELLIPS M AH0 - K EH1 - L IH0 P S +MCKELVEY M AE1 - K AH0 L - V EY2 +MCKELVIE M AE1 - K AH0 L - V IY1 +MCKELVY M AE1 - K AH0 L - V IY2 +MCKEMIE M AH0 - K EH1 - M IY0 +MCKENDREE M AH0 - K EH1 N - D R IY0 +MCKENDRICK M AH0 - K EH1 N - D R IH0 K +MCKENDRY M AH0 - K EH1 N - D R IY0 +MCKENNA M AH0 - K EH1 - N AH0 +MCKENNEY M AH0 - K EH1 - N IY0 +MCKENNON M AH0 - K EH1 - N AH0 N +MCKENNY M AH0 - K EH1 - N IY0 +MCKENRICK M AH0 - K EH1 N - R IH0 K +MCKENZIE M AH0 - K EH1 N - Z IY0 +MCKEON M AH0 - K IY1 - AH0 N +MCKEONE M AH0 - K IY1 - AH0 N +MCKEOUGH M AH0 - K IY1 - OW0 +MCKEOWN M AH0 - K Y UW1 - AH0 N +MCKERCHER M AH0 - K ER1 - CH ER0 +MCKERN M AH0 - K ER1 N +MCKERNAN M AH0 - K ER1 - N AH0 N +MCKESSON M AH0 - K EH1 - S AH0 N +MCKESSON'S M AH0 - K EH1 - S AH0 N Z +MCKETHAN M AH0 - K EH1 - TH AH0 N +MCKEVITT M AH0 - K EH1 - V AH0 T +MCKEY M AH0 - K IY1 +MCKIBBEN M AH0 - K IH1 - B AH0 N +MCKIBBIN M AH0 - K IH1 - B AH0 N +MCKIBBON M AH0 - K IH1 - B AH0 N +MCKIDS M AH0 - K IH1 D Z +MCKIE M AH0 - K IY1 +MCKIERNAN M AH0 - K IH1 R - N AH0 N +MCKILLIP M AH0 - K IH1 - L AH0 P +MCKILLOP M AH0 - K IH1 - L AH0 P +MCKIM M AH0 - K IH1 M +MCKIMMEY M AH0 - K IH1 - M IY0 +MCKIMMY M AH0 - K IH1 - M IY0 +MCKINESS M AH0 - K IH1 - N AH0 S +MCKINLAY M AH0 - K IH1 N - L IY0 +MCKINLEY M AH0 - K IH1 N - L IY0 +MCKINNEY M AH0 - K IH1 - N IY0 +MCKINNEY'S M AH0 - K IH1 - N IY0 Z +MCKINNIE M AH0 - K IH1 - N IY0 +MCKINNIS M AH0 - K IH1 - N AH0 S +MCKINNON M AH0 - K IH1 - N AH0 N +MCKINNY M AH0 - K IH1 - N IY0 +MCKINNY'S M AH0 - K IH1 - N IY0 Z +MCKINSEY M AH0 - K IH1 N - Z IY0 +MCKINSTRY M AH0 - K IH1 N - S T R IY0 +MCKINZIE M AH0 - K IH1 N - Z IY0 +MCKISSACK M AH0 - K IH1 - S AH0 K +MCKISSIC M AH0 - K IH1 - S IH0 K +MCKISSICK M AH0 - K IH1 - S IH0 K +MCKITRICK M AH0 - K IH1 - T R IH0 K +MCKITTRICK M AH0 - K IH1 - T R IH0 K +MCKLATCHY M AH0 K - L AE1 - CH IY0 +MCKNEELY M AH0 K - N IY1 - L IY0 +MCKNEW M AH0 K - N UW1 +MCKNIGHT M AH0 K - N AY1 T +MCKONE M AH0 - K OW1 N +MCKOWEN M AH0 - K AW1 - AH0 N +MCKOWN M AH0 - K OW1 N +MCKOY M AH0 - K OY1 +MCKREE M AH0 - K R IY0 +MCKUNE M AH0 - K Y UW1 N +MCLACHLAN M AH0 K - L AA1 K - L AH0 N +MCLAFFERTY M AH0 K - L AE1 - F ER0 - T IY0 +MCLAIN M AH0 - K L EY1 N +MCLAMB M AH0 - K L AE1 M +MCLANAHAN M AH0 K - L AE1 - N AH0 - HH AE0 N +MCLANE M AH0 - K L EY1 N +MCLAREN M AH0 - K L EH1 - R AH0 N +MCLARNEY M AH0 K - L AA1 R - N IY0 +MCLARTY M AH0 K - L AA1 R - T IY0 +MCLARTY'S M AH0 K - L AA1 R - T IY0 Z +MCLAUCHLIN M AH0 K - L AO1 - K L AH0 N +MCLAUGHLIN M AH0 G - L AA1 K - L AH0 N +MCLAURIN M AH0 K - L AO1 - R AH0 N +MCLAURY M AH0 K - L AO1 - R IY0 +MCLAWHORN M AH0 K - L AE1 - W ER0 N +MCLAWHORN(2) M AH0 K - L AW1 - HH AO2 R N +MCLAY M AH0 K - L EY1 +MCLEAN M AH0 K - L IY1 N +MCLEAN'S M AH0 K - L IY1 N Z +MCLEAN'S(2) M AH0 K - L EY1 N Z +MCLEAN(2) M AH0 - K L EY1 N +MCLEAR M AH0 - K L IH1 R +MCLEARY M AH0 K - L IH1 - R IY0 +MCLEES M AH0 - K L IY1 Z +MCLEISH M AH0 K - L IY1 SH +MCLELAND M AH0 - K L EH1 - L AH0 N D +MCLELLAN M AH0 - K L EH1 - L AH0 N +MCLELLAND M AH0 - K L EH1 - L AH0 N D +MCLENDON M AH0 K - L EH1 N - D AH0 N +MCLENNAN M AH0 K - L EH1 - N AH0 N +MCLEOD M AH0 K - L AW1 D +MCLEROY M AH0 K - L IY1 - R OY0 +MCLERRAN M AH0 - K L EH1 - R AH0 N +MCLESTER M AH0 K - L EH1 - S T ER0 +MCLIN M AH0 K - L IH1 N +MCLINDEN M AH0 K - L IH1 N - D AH0 N +MCLINN M AH0 K - L IH1 N +MCLISH M AH0 K - L IH1 SH +MCLOUD M AH0 K - L AW1 D +MCLOUTH M AH0 - K L AW1 TH +MCLUCAS M AH0 - K L UW1 - K AH0 Z +MCLUCKIE M AH0 K - L AH1 - K IY0 +MCLURE M AH0 - K L UW1 R +MCMACKIN M AH0 K - M AE1 - K AH0 N +MCMAHAN M AH0 K - M EY1 - HH AH0 N +MCMAHEN M AH0 K - M EY1 - HH AH0 N +MCMAHILL M AH0 K - M EY1 - HH IH2 L +MCMAHON M AH0 K - M EY1 - AH0 N +MCMAHON(2) M AH0 K - M AE1 N +MCMAINS M AH0 K - M EY1 N Z +MCMAKEN M AH0 K - M EY1 - K AH0 N +MCMAKIN M AH0 K - M AE1 - K AH0 N +MCMANAMA M AH0 K - M AE1 - N AH0 - M AH0 +MCMANAMAN M AH0 K - M AE1 - N AH0 - M AH0 N +MCMANAMON M AH0 K - M AE1 - N AH0 - M AH0 N +MCMANAWAY M AH0 K - M AE1 N - AH0 - W EY0 +MCMANIGAL M AH0 K - M AE1 - N AH0 - G AH0 L +MCMANIS M AH0 K - M AE1 - N AH0 S +MCMANN M AH0 K - M AE1 N +MCMANNIS M AH0 K - M AE1 - N AH0 S +MCMANUS M AH0 K - M AE1 - N AH0 S +MCMARTIN M AH0 K - M AA1 R - T AH0 N +MCMASTER M AH0 K - M AE1 - S T ER0 +MCMASTERS M AH0 K - M AE1 - S T ER0 Z +MCMATH M AH0 K - M AE1 TH +MCMEANS M AH0 K - M IY1 N Z +MCMEEKIN M AH0 K - M IY1 - K AH0 N +MCMEEN M AH0 K - M IY1 N +MCMENAMIN M AH0 K - M EH1 - N AH0 - M AH0 N +MCMENAMY M AH0 K - M EH1 - N AH0 - M IY0 +MCMENEMY M AH0 K - M EH1 - N AH0 - M IY0 +MCMENNAMIN M AH0 K - M EH1 - N AH0 - M AH0 N +MCMICHAEL M AH0 K - M AY1 - K AH0 L +MCMICHEN M AH0 K - M IH1 - CH AH0 N +MCMICKLE M AH0 K - M IH1 - K AH0 L +MCMILLAN M AH0 K - M IH1 - L AH0 N +MCMILLEN M AH0 K - M IH1 - L AH0 N +MCMILLER M AH0 K - M IH1 - L ER0 +MCMILLIAN M AH0 K - M IH1 - L Y AH0 N +MCMILLIAN(2) M AH0 K - M IH1 - L AH0 N +MCMILLIN M AH0 K - M IH1 - L IH0 N +MCMILLION M AH0 K - M IH1 - L Y AH0 N +MCMILLON M AH0 K - M IH1 - L AH0 N +MCMINN M AH0 K - M IH1 N +MCMONAGLE M AH0 K - M AA1 - N AH0 - G AH0 L +MCMONIGLE M AH0 K - M AA1 - N AH0 - G AH0 L +MCMORAN M AH0 K - M AO1 - R AH0 N +MCMORRAN M AH0 K - M AO1 - R AH0 N +MCMORRIS M AH0 K - M AO1 - R AH0 S +MCMORROW M AH0 K - M AO1 - R OW0 +MCMUFFIN M AH0 K - M AH1 - F AH0 N +MCMULLAN M AH0 K - M AH1 - L AH0 N +MCMULLEN M AH0 - K AH1 - L AH0 N +MCMULLIN M AH0 K - M AH1 - L AH0 N +MCMUNN M AH0 K - M AH1 N +MCMURDO M AH0 K - M ER1 - D OW0 +MCMURPHY M AH0 K - M ER1 - F IY0 +MCMURRAY M AH0 K - M ER1 - EY0 +MCMURREY M AH0 K - M ER1 - IY0 +MCMURRY M AH0 K - M ER1 - IY0 +MCMURTREY M AH0 K - M ER1 - T R IY0 +MCMURTRIE M AH0 K - M ER1 - T ER0 - IY0 +MCMURTRY M AH0 K - M ER1 - T R IY0 +MCNAB M AH0 K - N AE1 B +MCNABB M AH0 K - N AE1 B +MCNAIR M AH0 K - N EH1 R +MCNAIRY M AH0 K - N EH1 - R IY0 +MCNALL M AH0 K - N AO1 L +MCNALLEY M AH0 K - N AE1 - L IY0 +MCNALLY M AH0 K - N AE1 - L IY0 +MCNAMARA M AE1 K - N AH0 - M EH2 - R AH0 +MCNAMARA'S M AE1 K - N AH0 - M EH2 - R AH0 Z +MCNAMEE M AE1 K - N AH0 - M IY0 +MCNAMER M AH0 K - N EY1 - M ER0 +MCNANEY M AH0 K - N AE1 - N IY0 +MCNARY M AH0 K - N EH1 - R IY0 +MCNATT M AH0 K - N AE1 T +MCNAUGHT M AH0 K - N AO1 T +MCNAUGHTON M AH0 K - N AO1 - T AH0 N +MCNAY M AH0 K - N EY1 +MCNEAL M AH0 K - N IY1 L +MCNEALY M AH0 K - N IY1 - L IY0 +MCNEAR M AH0 K - N IH1 R +MCNEARY M AH0 K - N IH1 - R IY0 +MCNEASE M AH0 K - N IY1 Z +MCNEE M AH0 K - N IY1 +MCNEECE M AH0 K - N IY1 S +MCNEEL M AH0 K - N IY1 L +MCNEELEY M AH0 K - N IY1 - L IY0 +MCNEELY M AH0 K - N IY1 - L IY0 +MCNEER M AH0 K - N IH1 R +MCNEES M AH0 K - N IY1 Z +MCNEESE M AH0 K - N IY1 S +MCNEFF M AH0 K - N EH1 F +MCNEICE M AH0 K - N IY1 S +MCNEIL M AH0 K - N IY1 L +MCNEILL M AH0 K - N IY1 L +MCNEILLY M AH0 K - N IY1 - L IY0 +MCNEISH M AH0 K - N IY1 SH +MCNELIS M AH0 K - N EH1 - L AH0 S +MCNELLIS M AH0 K - N EH1 - L AH0 S +MCNELLY M AH0 K - N EH1 - L IY0 +MCNEMAR M AE1 K - N AH0 - M AA2 R +MCNERNEY M AH0 K - N ER1 - N IY0 +MCNETT M AH0 K - N EH1 T +MCNEVIN M AH0 K - N EH1 - V AH0 N +MCNEW M AH0 K - N UW1 +MCNICHOL M AH0 K - N IH1 - K AH0 L +MCNICHOLAS M AH0 K - N IH1 - L AH0 - L AH0 S +MCNICHOLS M AH0 K - N IH1 - K AH0 L Z +MCNICKLE M AH0 K - N IH1 - K AH0 L +MCNICOL M AH0 K - N IH1 - K AO0 L +MCNIEL M AH0 K - N IY1 L +MCNIFF M AH0 K - N IH1 F +MCNINCH M AH0 K - N IH1 N CH +MCNISH M AH0 K - N IH1 SH +MCNITT M AH0 K - N IH1 T +MCNORTON M AH0 K - N AO1 R - T AH0 N +MCNUGGETS M AH0 K - N AH1 - G AH0 T S +MCNULTY M AH0 K - N AH1 L - T IY0 +MCNUTT M AH0 K - N AH1 T +MCOMBER M AH0 - K AA1 M - B ER0 +MCORP EH1 M - K AO2 R P +MCORP'S EH1 M - K AO2 R P S +MCPAPER M AH0 K - P EY1 - P ER0 +MCPARLAND M AH0 K - P AA1 R - L AH0 N D +MCPARTLAND M AH0 K - P AA1 R T - L AH0 N D +MCPARTLIN M AH0 K - P AA1 R T - L AH0 N +MCPEAK M AH0 K - P IY1 K +MCPEAKE M AH0 K - P IY1 K +MCPECK M AH0 K - P EH1 K +MCPEEK M AH0 K - P IY1 K +MCPETERS M AH0 K - P IY1 - T ER0 Z +MCPHAIL M AH0 K - F EY1 L +MCPHATTER M AH0 K - F AE1 - T ER0 +MCPHAUL M AH0 K - F AO1 L +MCPHEARSON M AH0 K - F ER1 - S AH0 N +MCPHEARSON(2) M AH0 K - F IH1 R - S AH0 N +MCPHEE M AH0 K - F IY1 +MCPHEETERS M AH0 K - F IY1 - T ER0 Z +MCPHERON M AH0 K - F EH1 - R AH0 N +MCPHERSON M AH0 K - F ER1 - S AH0 N +MCPHIE M AH0 K - F IY1 +MCPHILLIPS M AH0 K - F IH1 - L AH0 P S +MCPIKE M AH0 K - P AY1 K +MCQUADE M AH0 - K W EY1 D +MCQUAID M AH0 - K W EY1 D +MCQUAIDE M AH0 - K W EY1 D +MCQUAIG M AH0 K - W EY1 G +MCQUAIN M AH0 - K W EY1 N +MCQUARRIE M AH0 K - W AO1 - R IY0 +MCQUARY M IY1 - K W EH0 - R IY0 +MCQUAY M AH0 - K EY1 +MCQUEARY M AH0 - K W IH1 - R IY0 +MCQUEEN M AH0 - K W IY1 N +MCQUEENEY M AH0 K - W IY1 - N IY0 +MCQUERRY M AH0 - K W EH1 - R IY0 +MCQUETHY M AH0 - K W EH1 - TH IY0 +MCQUETHY'S M AH0 - K W EH1 - TH IY0 Z +MCQUIGG M AH0 K - W IH1 G +MCQUILKIN M AH0 - K W IH1 L - K AH0 N +MCQUILLAN M AH0 - K W IH1 - L AH0 N +MCQUILLEN M AH0 - K W IH1 - L AH0 N +MCQUILLIN M AH0 - K W IH1 - L AH0 N +MCQUINN M AH0 - K W IH1 N +MCQUIRE M AH0 K - W AY1 R +MCQUISTON M AH0 - K W IH1 - S T AH0 N +MCQUITTY M AH0 - K W IH1 - T IY0 +MCQUOWN M AH0 K - W AW1 N +MCRAE M AH0 K - R EY1 +MCRAINEY M AH0 K - R AE1 - N IY0 +MCRANEY M AH0 K - R AE1 - N IY0 +MCRAY M AH0 K - R EY1 +MCREE M AH0 - K R IY1 +MCREYNOLDS M AH0 K - R EY1 - N AH0 L D Z +MCRIGHT M AH0 K - R AY1 T +MCROBERTS M AH0 K - R AA1 - B ER0 T S +MCRORIE M AH0 K - R AO1 - R IY0 +MCROY M AH0 K - R OY1 +MCSHAN M AH0 K - SH AE1 N +MCSHANE M AH0 K - SH EY1 N +MCSHEA M AH0 K - SH EY1 +MCSHERRY M AH0 K - SH EH1 - R IY0 +MCSLEEP M AH0 K - S L IY1 P +MCSORLEY M AH0 K - S AO1 R - L IY0 +MCSPADDEN M AH0 K - S P AE1 - D AH0 N +MCSTAY M AH0 K - S T EY1 +MCSWAIN M AH0 K - S W EY1 N +MCSWEEN M AH0 K - S W IY1 N +MCSWEENEY M AH0 K - S W IY1 - N IY0 +MCTAGGART M AH0 K - T AE1 - G ER0 T +MCTAGUE M AH0 K - T EY1 G +MCTAVISH M AH0 K - T EY1 - V IH0 SH +MCTAVISH(2) M AH0 K - T AE1 - V IH0 SH +MCTEER M AH0 K - T IH1 R +MCTERNAN M AH0 K - T ER1 - N AH0 N +MCTIER M AH0 K - T AY1 - ER0 +MCTIER(2) M AH0 K - T IH1 R +MCTIERNAN M AH0 K - T AY1 R - N AH0 N +MCTIERNAN(2) M AH0 K - T IH1 R - N AH0 N +MCTIGHE M AH0 K - T AY1 G +MCTIGUE M AH0 K - T IY1 G +MCVAY M AH0 K - V EY1 +MCVEA M AH0 K - V IY1 +MCVEIGH M AH0 K - V EY1 +MCVEIGH'S M AH0 K - V EY1 Z +MCVEY M AH0 K - V EY1 +MCVICAR M AH0 K - V IH1 - K ER0 +MCVICKER M AH0 K - V IH1 - K ER0 +MCVOY M AH0 K - V OY1 +MCWAIN M AH0 - K W EY1 N +MCWATERS M AH0 K - W AO1 - T ER0 Z +MCWATTERS M AH0 K - W AO1 - T ER0 Z +MCWEENEY M AH0 K - W IY1 - N IY0 +MCWETHY M AH0 - K W EH1 - TH IY0 +MCWHERTER M AH0 K - W ER1 - T ER0 +MCWHINNEY M AH0 - K W IH1 - N IY0 +MCWHIRT M AH0 K - W ER1 T +MCWHIRTER M AH0 K - W ER1 - T ER0 +MCWHITE M AH0 K - W AY1 T +MCWHORTER M AH0 K - W AO1 R - T ER0 +MCWILLIAM M AH0 - K W IH1 - L Y AH0 M +MCWILLIAMS M AH0 - K W IH1 - L Y AH0 M Z +MCWRIGHT M AH0 K - R AY1 T +MCZEAL M AH0 K - Z IY1 L +ME M IY1 +MEA M IY1 +MEACHAM M IY1 - CH AH0 M +MEACHUM M IY1 - CH AH0 M +MEAD M IY1 D +MEAD'S M IY1 D Z +MEADE M IY1 D +MEADER M IY1 - D ER0 +MEADERS M IY1 - D ER0 Z +MEADOR M IY1 - D ER0 +MEADORS M IY1 - D ER0 Z +MEADOW M EH1 - D OW2 +MEADOWLAND M EH1 - D OW0 - L AE1 N D +MEADOWLANDS M EH1 - D OW0 - L AE1 N D Z +MEADOWLARK M EH1 - D OW0 - L AA2 R K +MEADOWS M EH1 - D OW2 Z +MEADS M IY1 D Z +MEAGER M IY1 - G ER0 +MEAGHER M AA1 R +MEAKER M IY1 - K ER0 +MEAKIN M IY1 - K IH0 N +MEAL M IY1 L +MEAL'S M IY1 L Z +MEALER M IY1 - L ER0 +MEALEY M IY1 - L IY0 +MEALING M IY1 - L IH0 NG +MEALOR M IY1 - L ER0 +MEALS M IY1 L Z +MEALTIME M IY1 L - T AY2 M +MEALY M IY1 - L IY0 +MEALYNOSE M IY1 - L IY0 - N OW2 Z +MEALYNOSED M IY1 - L IY0 - N OW2 Z D +MEAN M IY1 N +MEANDER M IY0 - AE1 N - D ER0 +MEANDERED M IY0 - AE1 N - D ER0 D +MEANDERING M IY0 - AE1 N - D ER0 - IH0 NG +MEANDERS M IY0 - AE1 N - D ER0 Z +MEANER M IY1 - N ER0 +MEANEST M IY1 - N AH0 S T +MEANEY M IY1 - N IY0 +MEANING M IY1 - N IH0 NG +MEANINGFUL M IY1 - N IH0 NG - F AH0 L +MEANINGFULLY M IY1 - N IH0 NG - F AH0 - L IY0 +MEANINGLESS M IY1 - N IH0 NG - L AH0 S +MEANINGS M IY1 - N IH0 NG Z +MEANNESS M IY1 N - N AH0 S +MEANOR M IY1 - N ER0 +MEANS M IY1 N Z +MEANS' M IY1 N Z +MEANT M EH1 N T +MEANTIME M IY1 N - T AY2 M +MEANWHILE M IY1 N - W AY2 L +MEANY M IY1 - N IY0 +MEAR M IH1 R +MEARA M IY1 - R AH0 +MEARES M IY1 R Z +MEARNS M ER1 N Z +MEARS M IH1 R Z +MEASE M IY1 Z +MEASEL M IY1 - Z AH0 L +MEASLES M IY1 - Z AH0 L Z +MEASLY M IY1 Z - L IY0 +MEASURABLE M EH1 - ZH ER0 - AH0 - B AH0 L +MEASURABLY M EH1 - ZH ER0 - AH0 - B L IY0 +MEASURE M EH1 - ZH ER0 +MEASURE'S M EH1 - ZH ER0 Z +MEASURED M EH1 - ZH ER0 D +MEASUREMENT M EH1 - ZH ER0 - M AH0 N T +MEASUREMENTS M EH1 - ZH ER0 - M AH0 N T S +MEASURES M EH1 - ZH ER0 Z +MEASUREX M EH1 - Z ER0 - AH0 K S +MEASURING M EH1 - ZH ER0 - IH0 NG +MEAT M IY1 T +MEAT-EATING M IY1 - T IY2 - T IH0 NG +MEATBALL M IY1 T - B AO2 L +MEATBALLS M IY1 T - B AO2 L Z +MEATH M IY1 TH +MEATIER M IY1 - T IY0 - ER0 +MEATLESS M IY1 T - L AH0 S +MEATLOAF M IY1 T - L OW0 F +MEATPACKER M IY1 T - P AE2 - K ER0 +MEATPACKERS M IY1 T - P AE2 - K ER0 Z +MEATPACKING M IY1 T - P AE2 - K IH0 NG +MEATS M IY1 T S +MEATY M IY1 - T IY0 +MEAUX M OW1 +MEAVE M IY1 V +MEBANE M EH1 - B AH0 N +MECA M EH1 - K AH0 +MECCA M EH1 - K AH0 +MECCA'S M EH1 - K AH0 Z +MECH M EH1 K +MECHAM M EH1 - CH AH0 M +MECHAM'S M EH1 - CH AH0 M Z +MECHANIC M AH0 - K AE1 - N IH0 K +MECHANIC(2) M IH0 - K AE1 - N IH0 K +MECHANICAL M AH0 - K AE1 - N IH0 - K AH0 L +MECHANICALLY M AH0 - K AE1 - N IH0 K - L IY0 +MECHANICS M AH0 - K AE1 - N IH0 K S +MECHANICS' M AH0 - K AE1 - N IH0 K S +MECHANICSBURG M AH0 - K AE1 - N IH0 K S - B ER0 G +MECHANISM M EH1 - K AH0 - N IH2 - Z AH0 M +MECHANISMS M EH1 - K AH0 - N IH2 - Z AH0 M Z +MECHANISTIC M EH2 - K AH0 - N IH1 - S T IH0 K +MECHANIZATION M EH2 - K AH0 - N AH0 - Z EY1 - SH AH0 N +MECHANIZE M EH1 - K AH0 - N AY2 Z +MECHANIZED M EH1 - K AH0 - N AY2 Z D +MECHE M EH1 CH +MECHEM M EH1 - K IH0 M +MECHEM(2) M EH1 - CH AH0 M +MECHLER M EH1 - K L ER0 +MECHLING M EH1 - K L IH0 NG +MECIAR M EH1 - S IY0 - AA0 R +MECK M EH1 K +MECKEL M EH1 - K AH0 L +MECKES M EH1 K S +MECKLENBURG M EH1 K - L AH0 N - B ER0 G +MECKLER M EH1 - K L ER0 +MECKLEY M EH1 K - L IY0 +MECKSTROTH M EH1 K - S T R AO0 TH +MECUM M EH1 - K AH0 M +MED M EH1 D +MEDA M EY1 - D AH0 +MEDAGLIA M EH0 - D AA1 G - L IY0 - AH0 +MEDAL M EH1 - D AH0 L +MEDALIST M EH1 - D AH0 - L IH0 S T +MEDALIST'S M EH1 - D AH0 - L IH0 S T S +MEDALISTS M EH1 - D AH0 - L IH0 S T S +MEDALISTS(2) M EH1 - D AH0 - L IH0 S S +MEDALISTS(3) M EH1 - D AH0 - L IH0 S +MEDALLION M AH0 - D AE1 - L Y AH0 N +MEDALLIONS M AH0 - D AE1 - L Y AH0 N Z +MEDALS M EH1 - D AH0 L Z +MEDAPHIS M EH1 - D AH0 - F IH2 S +MEDAR M EH1 - D ER0 +MEDAREX M EH1 - D ER0 - EH2 K S +MEDARIS M EY0 - D AA1 - R IH0 S +MEDCALF M EH1 D - K AE0 L F +MEDCHEM M EH1 D - K EH2 M +MEDCHEM'S M EH1 D - K EH2 M Z +MEDCO M EH1 D - K OW0 +MEDCO'S M EH1 D - K OW0 Z +MEDDAUGH M EH1 - D AO0 +MEDDERS M EH1 - D ER0 Z +MEDDLE M EH1 - D AH0 L +MEDDLESOME M EH1 - D AH0 L - S AH0 M +MEDDLING M EH1 - D AH0 L - IH0 NG +MEDDLING(2) M EH1 D - L IH0 NG +MEDEA M AH0 - D IY1 - AH0 +MEDEARIS M EH1 - D ER0 - IH0 S +MEDEIROS M EY0 - D IH1 - R OW0 Z +MEDEL M EH1 - D AH0 L +MEDELLIN M IH0 D - EH1 - L IH0 N +MEDEMA M EH0 - D EH1 - M AH0 +MEDENDORP M EH1 - D EH0 N - D AO0 R P +MEDER M IY1 - D ER0 +MEDEROS M EH1 - D ER0 - OW0 Z +MEDES M IY1 D Z +MEDEVA M EH2 - D EH1 - V AH0 +MEDEX M EH1 - D AH0 K S +MEDFACT M EH1 D - F AE1 K T +MEDFACTS M EH1 D - F AE1 K T S +MEDFIRST M EH1 D - F ER1 S T +MEDFLY M EH1 D F - L IY0 +MEDFORD M EH1 D - F ER0 D +MEDGAR M EH1 D - G ER0 +MEDGAR'S M EH1 D - G ER0 Z +MEDI M EH1 - D IY0 +MEDIA M IY1 - D IY0 - AH0 +MEDIA'S M IY1 - D IY0 - AH0 Z +MEDIAL M IY1 - D IY0 - AH0 L +MEDIAL(2) M IY1 - D Y AH0 L +MEDIAMARK M IY1 - D IY0 - AH0 - M AA1 R K +MEDIAN M IY1 - D IY0 - AH0 N +MEDIANEWS M IY1 - D IY0 - AH0 - Y UW2 Z +MEDIASET M IY1 - D IY0 - AH0 - S EH2 T +MEDIATE M IY1 - D IY0 - EY2 T +MEDIATED M IY1 - D IY0 - EY2 - T IH0 D +MEDIATING M IY1 - D IY0 - EY2 - T IH0 NG +MEDIATION M IY2 - D IY0 - EY1 - SH AH0 N +MEDIATOR M IY1 - D IY0 - EY2 - T ER0 +MEDIATORS M IY1 - D IY0 - EY2 - T ER0 Z +MEDIC M EH1 - D IH0 K +MEDIC'S M EH1 - D IH0 K S +MEDICAID M EH1 - D AH0 - K EY2 D +MEDICAL M EH1 - D AH0 - K AH0 L +MEDICAL'S M EH1 - D AH0 - K AH0 L Z +MEDICAL'S(2) M EH1 - D IH0 - K AH0 L Z +MEDICAL(2) M EH1 - D IH0 - K AH0 L +MEDICALLY M EH1 - D AH0 K - L IY0 +MEDICALLY(2) M EH1 - D IH0 - K AH0 - L IY0 +MEDICARE M EH1 - D AH0 - K EH2 R +MEDICARE'S M EH1 - D AH0 - K EH2 R Z +MEDICATE M EH1 - D IH0 - K EY2 T +MEDICATED M EH1 - D IH0 - K EY2 - T IH0 D +MEDICATION M EH2 - D AH0 - K EY1 - SH AH0 N +MEDICATIONS M EH2 - D AH0 - K EY1 - SH AH0 N Z +MEDICI M EH0 - D IY1 - S IY0 +MEDICINAL M AH0 - D IH1 - S AH0 - N AH0 L +MEDICINALLY M AH0 - D IH1 - S AH0 - N AH0 - L IY0 +MEDICINE M EH1 - D AH0 - S AH0 N +MEDICINE'S M EH1 - D AH0 - S AH0 N Z +MEDICINES M EH1 - D AH0 - S AH0 N Z +MEDICO M EH1 - D IH0 - K OW2 +MEDICS M EH1 - D IH0 K S +MEDICUS M EH1 - D IH0 - K AH0 S +MEDIEVAL M IH0 - D IY1 - V AH0 L +MEDIEVAL(2) M IY0 - D IY1 - V AH0 L +MEDIEVAL(3) M IH0 D - Y IY1 - V AH0 L +MEDIGAP M EH1 - D IH0 - G AE0 P +MEDIMMUNE M EH1 - D IH0 - M Y UW2 N +MEDIN M EY0 - D IY1 N +MEDINA M AH0 - D AY1 - N AH0 +MEDINA(2) M AH0 - D IY1 - N AH0 +MEDINGER M IY1 - D IH0 - NG ER0 +MEDIO M IY1 - D IY0 - OW0 +MEDIO(2) M EH1 - D IY0 - OW0 +MEDIOBANCA M IH0 - D IY2 - OW0 - B AE1 NG - K AH0 +MEDIOCRE M IY2 - D IY0 - OW1 - K ER0 +MEDIOCRITY M IY2 - D IY0 - AA1 - K R AH0 - T IY0 +MEDIPLEX M EH1 - D IH0 - P L EH2 K S +MEDIQ M EH0 - D IY1 K +MEDISCARE M EH1 - 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D UW1 - L AH0 +MEDUSA M AH0 - D UW1 - S AH0 +MEDUSAS M AH0 - D UW1 - S AH0 Z +MEDVED M EH1 D - V AH0 D +MEDVEDEV M EH1 D - V AH0 - D EH2 V +MEDWIN M EH1 D - W IH0 N +MEE M IY1 +MEECE M IY1 S +MEECH M IY1 CH +MEECHAM M IY1 - CH AH0 M +MEEDER M IY1 - D ER0 +MEEGAN M IY1 - G AH0 N +MEEHAN M IY1 - AH0 N +MEEHANS M IY1 - HH AE2 N Z +MEEHANS(2) M IY1 - AH0 N Z +MEEHL M IY1 L +MEEK M IY1 K +MEEKER M IY1 - K ER0 +MEEKINS M IY1 - K IH0 N Z +MEEKLY M IY1 K - L IY0 +MEEKS M IY1 K S +MEELER M IY1 - L ER0 +MEENAGHAN M IY1 - N AH0 - HH AE0 N +MEENAN M IY1 - N AH0 N +MEENTS M IY1 N T S +MEER M IY1 - ER0 +MEERS M IY1 - ER0 Z +MEES M IY1 Z +MEESE M IY1 S +MEESE'S M IY1 - S IH0 Z +MEESTER M IY1 - S T ER0 +MEET M IY1 T +MEETING M IY1 - T IH0 NG +MEETING'S M IY1 - T IH0 NG Z +MEETINGS M IY1 - T IH0 NG Z +MEETS M IY1 T S +MEETZE M IY1 T Z +MEEUWSEN M IY2 - UW1 - S AH0 N +MEFFERD M EH1 - F ER0 D +MEFFERT M EH1 - F ER0 T +MEFFORD M EH1 - F ER0 D +MEG M EH1 G +MEGA M EH1 - G AH0 +MEGABIT M EH1 - G AH0 - B IH0 T +MEGABUCK M EH1 - G AH0 - B AH2 K +MEGABUCKS M EH1 - G AH0 - B AH2 K S +MEGABYTE M EH1 - G AH0 - B AY2 T +MEGABYTES M EH1 - G AH0 - B AY2 T S +MEGACARRIER M EH1 - G AH0 - K AE2 - R Y ER0 +MEGACARRIERS M EH2 - G AH0 - K AE1 - R Y ER0 Z +MEGACE M IY1 - G AH0 S +MEGADEAL M EH1 - G AH0 - D IY2 L +MEGADEALS M EH1 - G AH0 - D IY2 L Z +MEGADEATH M EH1 - G AH0 - D EH2 TH +MEGAFOOD M EH1 - G AH0 - F UW2 D +MEGAFOODS M EH1 - G AH0 - F UW2 D Z +MEGAHERTZ M EH1 - G AH0 - HH ER0 T S +MEGAHOUSE M EH1 - G AH0 - HH AW2 S +MEGAHOUSES M EH1 - G AH0 - HH AW2 - S IH0 Z +MEGALOMANIA M EH2 - G AH0 - L OW0 - M EY1 - N IY0 - AH0 +MEGALOMANIAC M EH2 - G AH0 - L OW0 - M EY1 - N IY0 - AE2 K +MEGALOPOLIS M EH2 - G AH0 - L AA1 - P AH0 - L AH0 S +MEGAMERGER M EH1 - G AH0 - M ER2 - JH ER0 +MEGAMERGERS M EH1 - G AH0 - M ER2 - JH ER0 Z +MEGAN M EY1 - G AH0 N +MEGAN'S M EY1 - G AH0 N Z +MEGAPHONE M EH1 - G AH0 - F OW2 N +MEGAPHONES M EH1 - G AH0 - F OW2 N Z +MEGAPLEX M EH1 - G AH0 - P L EH1 K S +MEGAQUEST M EH1 - G AH0 - K W EH2 S T +MEGAQUEST'S M EH1 - G AH0 - K W EH2 S T S +MEGARRY M EH1 - G ER0 - IY0 +MEGASTORE M EH1 - G AH0 - S T AO2 R +MEGASTORES M EH1 - G AH0 - S T AO2 R Z +MEGATONS M EH1 - G AH0 - T AH2 N Z +MEGAWATT M EH1 - G AH0 - W AA2 T +MEGAWATTS M EH1 - G AH0 - W AA2 T S +MEGEE M EH1 - JH IY0 +MEGER M EH1 - G ER0 +MEGGINSON M EH1 - G IH0 N - S AH0 N +MEGGISON M EH1 - G IH0 - S AH0 N +MEGGS M EH1 G Z +MEGHAN M EH1 - G AH0 N +MEGHDAR M EH1 G - D AA0 R +MEGILL M EH1 - JH AH0 L +MEGNA M EH1 G - N AH0 +MEGNER M EH1 G - N ER0 +MEHAFFEY M EH1 - HH AH0 - F IY0 +MEHAFFEY(2) M AH0 - HH AE1 - F IY0 +MEHALKOFF M EH0 - HH AE1 L - K AO0 F +MEHALL M AH0 - HH AO1 L +MEHAN M EY1 - HH AE0 N +MEHANOVITCH M AH0 - HH AE1 - N AH0 - V AH0 CH +MEHARG M EY2 - HH AA1 R G +MEHARRY M EY2 - HH AE1 - R IY0 +MEHDI M EH1 - D IY0 +MEHETABEL M IH0 - HH EH1 - T AH0 - B IH0 L +MEHITABEL M EH1 - HH IH0 - T AH0 - B AH0 L +MEHITABEL(2) M EH0 - HH IH1 - T AH0 - B AH0 L +MEHITABELLE M EH1 - HH IH0 - T AH0 - B AH0 L +MEHL M EH1 L +MEHLBERG M EH1 L - B ER0 G +MEHLE M EH1 - HH AH0 L +MEHLENBACHER M EH1 - L IH0 N - B AA0 - K ER0 +MEHLER M EH1 - L ER0 +MEHLHAFF M EH1 L - HH AH0 F +MEHLHOFF M EH1 L - HH AO0 F +MEHLHORN M EH1 L - HH ER0 N +MEHLING M EH1 - L IH0 NG +MEHLMAN M EH1 L - M AH0 N +MEHMET M EH1 - M AH0 T +MEHNER M EH1 - N ER0 +MEHNERT M EH1 - N ER0 T +MEHR M EH1 R +MEHRABIAN M EH2 - R EY1 - B IY0 - AH0 N +MEHRABIAN(2) M ER2 - EY1 - B IY0 - AH0 N +MEHRAN M EH1 - R AH0 N +MEHRENS M EH1 - R AH0 N Z +MEHRER M EH1 - R ER0 +MEHRING M EH1 - R IH0 NG +MEHRINGER M EH1 - R IH0 - NG ER0 +MEHRTENS M EH1 R - T AH0 N Z +MEHTA M EH1 - T AH0 +MEHTA'S M EH1 - T AH0 Z +MEHUL M EH1 - HH UH2 L +MEI M AY1 +MEI(2) M EY1 +MEI-LING M EY1 - L IH1 NG +MEIDINGER M AY1 - D IH0 - NG ER0 +MEIDL M IY1 - D AH0 L +MEIER M AY1 - ER0 +MEIER'S M AY1 - ER0 Z +MEIERFELD M AY1 R - F EH2 L D +MEIGHAN M EY1 G - HH AH0 N +MEIGHER M EY1 - G ER0 +MEIJI M EY1 - JH IY2 +MEIKLE M IY1 - K AH0 L +MEIN M IY1 N +MEINCKE M AY1 NG - K IY0 +MEINDERS M AY1 N - D ER0 Z +MEINDL M AY1 N - D AH0 L +MEINE M IY1 N +MEINECKE M AY1 - N IH0 - K IY0 +MEINEKE M AY1 - N IH0 - K IY0 +MEINEN M AY1 - N AH0 N +MEINER M AY1 - N ER0 +MEINERS M AY1 - N ER0 Z +MEINERT M AY1 - N ER0 T +MEINERTZHAGEN M AY1 - N ER0 T S - HH AA2 - G AH0 N +MEINHARDT M AY1 N - HH AA2 R T +MEINHART M AY1 N - HH AA2 R T +MEINHOLD M AY1 N - HH OW2 L D +MEININGER M AY1 - N IH0 - NG ER0 +MEINKE M IY1 NG K +MEINTS M AY1 N T S +MEINZER M AY1 N - Z ER0 +MEIOSIS M AY0 - OW1 - S AH0 S +MEIR M IH1 R +MEIRING M AY1 - R IH0 NG +MEIS M IY1 Z +MEISCH M AY1 SH +MEISE M IY1 S +MEISEL M AY1 - S AH0 L +MEISELS M AY1 - S AH0 L Z +MEISENHEIMER M AY1 - S IH0 N - HH AY0 - M ER0 +MEISER M AY1 - S ER0 +MEISHAN M AY1 - SH AH0 N +MEISINGER M AY1 - S IH0 N - JH ER0 +MEISLER M AY1 - S AH0 - L ER0 +MEISLER(2) M AY1 S - L ER0 +MEISNER M AY1 S - N ER0 +MEISS M AY1 S +MEISSNER M AY1 S - N ER0 +MEISTER M AY1 - S T ER0 +MEISTERS M AY1 - S T ER0 Z +MEITZ M IY1 T S +MEITZLER M AY1 T - S L ER0 +MEIXNER M IY1 K S - N ER0 +MEIYUH M EY0 - Y UW1 +MEJIA M EY1 - Y IY0 - AH0 +MEJIAS M EY0 - Y IY1 - AH0 Z +MEKEEL M EH1 - K IY0 L +MEKONG M EY1 - K AA0 NG +MEL M EH1 L +MEL'S M EH1 L Z +MELADOR M EH1 - L AH0 - D AO0 R +MELAMED M EH1 - L AH0 - M EH0 D +MELAMINE M EH1 - L AH0 - M IY2 N +MELANBY M EH1 - L AH0 N - B IY0 +MELANCHOLIC M EH2 - L AH0 N - K AA1 - L IH0 K +MELANCHOLY M EH1 - L AH0 N - K AA2 - L IY0 +MELANCON M IH0 - L AE1 N - K AH0 N +MELAND M EH1 - L AH0 N D +MELANDER M EH1 - L AH0 N - D ER0 +MELANESIAN M EH2 - L AH0 - N IY1 - ZH AH0 N +MELANESIANS M EH2 - L AH0 - N IY1 - ZH AH0 N Z +MELANGE M EH1 - L AE0 NG +MELANIE M EH1 - L AH0 - N IY0 +MELANIN M EH1 - L AH0 - N AH0 N +MELANIN(2) M EH1 - L AH0 - N IH0 N +MELANOMA M EH2 - L AH0 - N OW1 - M AH0 +MELANSON M EH1 - L AH0 N - S AH0 N +MELANTHA M IH0 - L AE1 N - DH AH0 +MELANY M EH1 - L AH0 - N IY0 +MELARAGNO M EH0 - L AA0 - R AA1 G - N OW0 +MELATONIN M EH2 - L AH0 - T OW1 - N IH0 N +MELATONIN'S M EH2 - L AH0 - T OW1 - N IH0 N Z +MELBA M EH1 L - B AH0 +MELBERG M EH1 L - B ER0 G +MELBOURNE M EH1 L - B ER0 N +MELBURN M EH1 L - B ER0 N +MELBY M EH1 L - B IY0 +MELCHER M EH1 L - CH ER0 +MELCHERT M EH1 L - CH ER0 T +MELCHING M EH1 L - CH IH0 NG +MELCHIOR M EY0 L - CH IY1 - ER0 +MELCHIORRE M EH0 L - K IY0 - AO1 - R EY0 +MELCHOR M EH1 L - CH ER0 +MELD M EH1 L D +MELDED M EH1 L - D AH0 D +MELDED(2) M EH1 L - D IH0 D +MELDER M EH1 L - D ER0 +MELDING M EH1 L - D IH0 NG +MELDON M EH1 L - D AH0 N +MELDONS M EH1 L - D AH0 N Z +MELDRUM M EH1 L - D R AH0 M +MELE M IY1 L +MELEAR M EH1 - L ER0 +MELEE M EY1 - L EY2 +MELEIS M AH0 - L EY1 - AH0 S +MELENDEZ M AH0 - L EH1 N - D EH0 Z +MELENDREZ M EY0 - L EY1 N - D R EH0 Z +MELENDY M IH0 - L EH1 N - D IY0 +MELERO M EY0 - L EH1 - R OW0 +MELESKI M IH0 - L EH1 S - K IY0 +MELESSA M EH0 - L EH1 - S AH0 +MELFI M EH1 L - F IY0 +MELGAARD M EH1 L - G AA2 R D +MELGAR M EY0 L - G AA1 R +MELGOZA M EH0 L - G OW1 - Z AH0 +MELHEM M EH1 - L AH0 M +MELHORN M EH1 L - HH ER0 N +MELI M EH1 - L IY0 +MELIA M EH1 - L IY0 - AH0 +MELICAN M EH1 - L IH0 - K AH0 N +MELICENT M EH1 - L IH0 - S AH0 N T +MELICHAR M EH1 - L IH0 - K ER0 +MELICK M EH1 - L IH0 K +MELIKIAN M IH0 - L IH1 - K IY0 - AH0 N +MELILLO M EH0 - L IH1 - L OW0 +MELIN M EH1 - L IH0 N +MELINA M EH0 - L IY1 - N AH0 +MELINDA M AH0 - L IH1 N - D AH0 +MELINE M EH1 - L AY0 N +MELING M EH1 - L IH0 NG +MELISENT M EH1 - L IH0 - S AH0 N T +MELISSA M AH0 - L IH1 - S AH0 +MELISSA'S M AH0 - L IH1 - S AH0 Z +MELISSE M EH1 - L IH0 S +MELITA M EH0 - L IY1 - T AH0 +MELITO M EH0 - L IY1 - T OW0 +MELITTA M EH0 - L IY1 - T AH0 +MELIUS M IY1 - L IY0 - IH0 S +MELKA M EH1 L - K AH0 +MELKAR M EH1 L - K AA2 R +MELKAR'S M EH1 L - K AA2 R Z +MELKONIAN M EH2 L - K OW1 - N IY0 - AH0 N +MELL M EH1 L +MELLA M EH1 - L AH0 +MELLAND M EH1 - L AH0 N D +MELLARIL M EH1 - L ER0 - AH0 L +MELLE M EH1 L +MELLEM M EH1 - L IH0 M +MELLEMA M EH0 - L EH1 - M AH0 +MELLEN M EH1 - L AH0 N +MELLER M EH1 - L ER0 +MELLETT M EH1 - L IH0 T +MELLEY M EH1 - L IY0 +MELLGREN M EH1 L - G R EH0 N +MELLI M EH1 - L IY0 +MELLICENT M EY0 - L IY1 - S AH0 N T +MELLICK M EH1 - L IH0 K +MELLIE M EH1 - L IY0 +MELLIN M EH1 - L IH0 N +MELLING M EH1 - L IH0 NG +MELLINGER M EH1 - L IH0 - NG ER0 +MELLIS M EH1 - L IH0 S +MELLISH M EH1 - L IH0 SH +MELLMAN M EH1 L - M AH0 N +MELLO M EH1 - L OW0 +MELLOAN M EH0 - L OW1 N +MELLOAN'S M EH0 - L OW1 N Z +MELLON M EH1 - L AH0 N +MELLON'S M EH1 - L AH0 N Z +MELLONBY M EH1 - L AH0 N - B IY0 +MELLONS M EH1 - L AH0 N Z +MELLOR M EH1 - L ER0 +MELLOTT M EH1 - L AH0 T +MELLOW M EH1 - L OW0 +MELLOWED M EH1 - L OW0 D +MELLOWING M EH1 - L OW0 - IH0 NG +MELLY M EH1 - L IY0 +MELMAN M EH1 L - M AH0 N +MELNICK M EH1 L - N IH0 K +MELNIK M EH1 L - N IH0 K +MELNOR M EH1 L - N ER0 +MELNYK M EH1 L - N IH0 K +MELO M EH1 - L OW0 +MELOCHE M EH0 - L OW1 - K IY0 +MELODIC M AH0 - L AA1 - D IH0 K +MELODIES M EH1 - L AH0 - D IY0 Z +MELODIOUS M AH0 - L OW1 - D IY0 - AH0 S +MELODRAMA M EH1 - L AH0 - D R AA2 - M AH0 +MELODRAMAS M EH1 - L AH0 - D R AA2 - M AH0 Z +MELODRAMATIC M EH2 - L AH0 - D R AH0 - M AE1 - T IH0 K +MELODY M EH1 - L AH0 - D IY0 +MELON M EH1 - L AH0 N +MELONE M EH0 - L OW1 - N IY0 +MELONI M EH0 - L OW1 - N IY0 +MELONS M EH1 - L AH0 N Z +MELOR M EH2 - L AO1 R +MELOR(2) M AH0 - L AO1 R +MELOY M EH1 - L OY0 +MELQUIST M EH1 L - K W IH2 S T +MELRIDGE M EH1 L - R IH2 JH +MELRIDGE'S M EH1 L - R IH2 - JH IH0 Z +MELROD M EH1 L - R AA2 D +MELROSE M EH1 L - R OW2 Z +MELROY M EH1 L - R OY2 +MELSON M EH1 L - S AH0 N +MELT M EH1 L T +MELTDOWN M EH1 L T - D AW2 N +MELTED M EH1 L - T AH0 D +MELTED(2) M EH1 L - T IH0 D +MELTING M EH1 L - T IH0 NG +MELTON M EH1 L - T AH0 N +MELTS M EH1 L T S +MELTWATER M EH1 L T - W AA2 - T ER0 +MELTWATER(2) M EH1 L T - W AO2 - T ER0 +MELTZ M EH1 L T S +MELTZER M EH1 L T - S ER0 +MELUCCI M EH0 - L UW1 - CH IY0 +MELUGIN M EH1 - L AH0 - G IH0 N +MELVA M EH1 L - V AH0 +MELVIE M EH1 L - V IY0 +MELVILLE M EH1 L - V IH0 L +MELVIN M EH1 L - V IH0 N +MELVINA M EH0 L - V IY1 - N AH0 +MELVINE M EH1 L - V AY2 N +MELVYN M EH1 L - V IH0 N +MELZER M EH1 L - Z ER0 +MEMBER M EH1 M - B ER0 +MEMBER'S M EH1 M - B ER0 Z +MEMBERED M EH1 M - B ER0 D +MEMBERS M EH1 M - B ER0 Z +MEMBERS' M EH1 M - B ER0 Z +MEMBERSHIP M EH1 M - B ER0 - SH IH2 P +MEMBERSHIPS M EH1 M - B ER0 - SH IH2 P S +MEMBRANE M EH1 M - B R EY2 N +MEMBRANES M EH1 M - B R EY2 N Z +MEMBRANOUS M EH1 M - B R AH0 - N AH0 S +MEMEL M EH1 - M AH0 L +MEMENTO M IH0 - M EH1 N - T OW0 +MEMENTOS M IH0 - M EH1 N - T OW0 Z +MEMMER M EH1 - M ER0 +MEMMOTT M EH1 - M AH0 T +MEMNON M EH1 M - N AA2 N +MEMO M EH1 - M OW2 +MEMO'S M EH1 - M OW0 Z +MEMOIR M EH1 M - W AA2 R +MEMOIRS M EH1 M - W AA2 R Z +MEMOLI M EH0 - M OW1 - L IY0 +MEMORABILIA M EH2 - M ER0 - AH0 - B IY1 - L Y AH0 +MEMORABLE M EH1 - M ER0 - AH0 - B AH0 L +MEMORABLY M EH1 - M ER0 - AH0 - B L IY0 +MEMORANDA M EH2 - M ER0 - AE1 N - D AH0 +MEMORANDUM M EH2 - M ER0 - AE1 N - D AH0 M +MEMORANDUMS M EH2 - M ER0 - AE1 N - D AH0 M Z +MEMOREX M EH1 - M AO0 - R EH2 K S +MEMORIAL M AH0 - M AO1 - R IY0 - AH0 L +MEMORIALIZE M AH0 - M AO1 - R IY0 - AH0 - L AY2 Z +MEMORIALIZED M AH0 - M AO1 - R IY0 - AH0 - L AY2 Z D +MEMORIALS M AH0 - M AO1 - R IY0 - AH0 L Z +MEMORIES M EH1 - M ER0 - IY0 Z +MEMORIES' M EH1 - M ER0 - IY2 Z +MEMORIZE M EH1 - M ER0 - AY2 Z +MEMORIZED M EH1 - M ER0 - AY2 Z D +MEMORIZING M EH1 - M ER0 - AY2 - Z IH0 NG +MEMORY M EH1 - M ER0 - IY0 +MEMOS M EH1 - M OW0 Z +MEMOTEC M EH1 - M OW0 - T EH2 K +MEMPHIS M EH1 M - F AH0 S +MEMPHIS(2) M EH1 M - F IH0 S +MEMPHIS(3) M EH1 M P - F AH0 S +MEMPHIS(4) M EH1 M P - F IH0 S +MEMTEC M EH1 M - T EH2 K +MEMTEC'S M EH1 M - T EH2 K S +MEN M EH1 N +MEN'S M EH1 N Z +MENA M IY1 - N AH0 +MENACE M EH1 - N AH0 S +MENACE(2) M EH1 - N IH0 S +MENACHEM M AH0 - N AA1 - HH AH0 M +MENACHEM(2) M EH1 - N AH0 - HH EH0 M +MENACING M EH1 - N AH0 - S IH0 NG +MENACINGLY M EH1 - N AH0 - S IH0 NG - L IY0 +MENAGERIE M AH0 - N AE1 - JH ER0 - IY0 +MENAHEM M AH0 - N AA1 - HH AH0 M +MENAKER M EH1 - N AH0 - K ER0 +MENAPACE M EH0 - N AA0 - P AA1 - CH IY0 +MENARD M IH0 - N AA1 R D +MENASCO M EH0 - N AA1 - S K OW0 +MENASION M EH0 - N AE1 - S IY0 - AH0 N +MENASION'S M EH0 - N AE1 - S IY0 - AH0 N Z +MENATEP M EH1 - N AH0 - T EH2 P +MENCER M EH1 N - S ER0 +MENCH M EH1 N CH +MENCHACA M EH0 N - K AA1 - K AH0 +MENCHER M EH1 N - CH ER0 +MENCKEN M EH1 NG - K AH0 N +MENCONI M EH0 N - K OW1 - N IY0 +MEND M EH1 N D +MENDACITY M EH0 N - D AE1 - S IH0 - T IY0 +MENDAN M EH1 N - D AH0 N +MENDE M EH1 N D +MENDED M EH1 N - D IH0 D +MENDEL M EH1 N - D AH0 L +MENDEL'S M EH1 N - D AH0 L Z +MENDELL M EH1 N - D EH1 L +MENDELSOHN M EH1 N - D AH0 L - S AH0 N +MENDELSON M EH1 N - D AH0 L - S AH0 N +MENDELSSOHN M EH1 N - D AH0 L - S AH0 N +MENDENHALL M EH1 N - D AH0 N - HH AO2 L +MENDES M EY1 N - D EH0 S +MENDEZ M EH0 N - D EH1 Z +MENDEZ(2) M EH1 N - D EH0 Z +MENDICINO M EH0 N - D IY0 - CH IY1 - N OW0 +MENDIETA M EH0 N - D IY1 - T AH0 +MENDILLO M EH2 N - D IH1 - L OW0 +MENDING M EH1 N - D IH0 NG +MENDIOLA M EH2 N - D IY0 - OW1 - L AH0 +MENDIVIL M EY0 N - D IY0 - V IY1 L +MENDLOWITZ M EH1 N D - L AH0 - W IH0 T S +MENDOCINO M EH2 N - D AH0 - S IY1 - N OW0 +MENDOLA M EH0 N - D OW1 - L AH0 +MENDOLIA M EH0 N - D OW1 - L IY0 - AH0 +MENDONCA M EH0 N D - OW1 N - K AH0 +MENDONSA M EH2 N - D AA1 N - S AH0 +MENDOSA M EH0 N - D OW1 - S AH0 +MENDOTA M EH0 N - D OW1 - T AH0 +MENDOTA(2) M EH0 N - D AA1 - T AH0 +MENDOZA M EH0 N - D OW1 - Z AH0 +MENDYK M EH1 N - D IH0 K +MENEAR M IH0 - N IH1 R +MENEELY M IH0 - N IY1 - L IY0 +MENEES M EH1 - N IY1 Z +MENEFEE M EH1 - N IH0 - F IY0 +MENEM M EH1 - N AH0 M +MENEM'S M EH1 - N AH0 M Z +MENENDEZ M EH0 - N EH1 N - D EH0 Z +MENESES M EY0 - N EY1 - S EH0 S +MENEZES M EY0 - N EY1 - Z EH0 S +MENG M EH1 NG +MENGE M EH1 N JH +MENGEL M EH1 NG - G AH0 L +MENGELE M EH1 NG - G AH0 - L AH0 +MENGER M EH1 N - JH ER0 +MENGERS M EH1 NG - G ER0 Z +MENGES M EH1 N - JH IH0 Z +MENGHINI M EH0 N - G IY1 - N IY0 +MENGISTU M EH2 NG - G IY1 - S T UW0 +MENHADEN M EH0 N - HH EY1 - D AH0 N +MENIAL M IY1 - N IY0 - AH0 L +MENIFEE M EH1 - N IH0 - F IY2 +MENIL M EH0 - N IY1 L +MENINGITIS M EH2 - N AH0 N - JH AY1 - T AH0 S +MENINO M AH0 - N IY1 - N OW0 +MENJIVAR M EY0 - N Y IY0 - V AA1 R +MENK M EH1 NG K +MENKA M EH1 NG - K AH0 +MENKE M EH1 NG K +MENKEN M EH1 NG - K AH0 N +MENKES M EH1 NG K S +MENLO M EH1 N - L OW0 +MENN M EH1 N +MENNA M EH1 - N AH0 +MENNAN M EH1 - N AH0 N +MENNAN'S M EH1 - N AH0 N Z +MENNE M EH1 N +MENNELLA M EH2 - N EH1 - L AH0 +MENNEN M EH1 - N AH0 N +MENNENGA M IH0 - N EH1 NG - G AH0 +MENNING M EH1 - N IH0 NG +MENNINGER M EH1 - N IH0 - NG ER0 +MENNINI M EH0 - N IY1 - N IY0 +MENNONITE M EH1 - N AH0 - N AY2 T +MENNONITES M EH1 - N AH0 - N AY2 T S +MENO M EY1 - N OW0 +MENON M EY0 - N AO1 N +MENOPAUSAL M EH2 - N AH0 - P AW1 - Z AH0 L +MENOPAUSE M EH1 - N AH0 - P AW2 Z +MENOR M EH1 - N ER0 +MENORAH M AH0 - N AO1 - R AH0 +MENORAH'S M AH0 - N AO1 - R AH0 Z +MENORAHS M AH0 - N AO1 - R AH0 Z +MENOTOMY M IH0 - N AA1 - T IH0 - M IY0 +MENS M EH1 N Z +MENSAH M EH1 N - S AH0 +MENSCH M EH1 N SH +MENSCHVILLE M EH1 N SH - V IH0 L +MENSER M EH1 N - S ER0 +MENSIK M EH1 N - S IH0 K +MENSING M EH1 N - S IH0 NG +MENSINGER M EH1 N - S IH0 N - JH ER0 +MENSTRUAL M EH1 N S - T R UW0 - AH0 L +MENSTRUAL(2) M EH1 N - S T R AH0 L +MENSTRUATION M EH2 N S - T R UW0 - EY1 - SH AH0 N +MENSWEAR M EH1 N Z - W EY2 R +MENTAL M EH1 N - T AH0 L +MENTALITY M EH0 N - T AE1 - L AH0 - T IY0 +MENTALITY(2) M EH0 N - T AE1 - L IH0 - T IY0 +MENTALLY M EH1 N - T AH0 - L IY0 +MENTALLY(2) M EH1 - N AH0 - L IY0 +MENTE M EH1 N T +MENTEL M EY0 N - T EH1 L +MENTER M EH1 N - T ER0 +MENTHOL M EH1 N - TH AO0 L +MENTHOLATUM M EH2 N - TH AH0 - L EY1 - T AH0 M +MENTINK M EH1 N - T IH0 NG K +MENTION M EH1 N - SH AH0 N +MENTIONED M EH1 N - SH AH0 N D +MENTIONING M EH1 N - SH AH0 N - IH0 NG +MENTIONS M EH1 N - SH AH0 N Z +MENTO M EH1 N - T OW0 +MENTON M EH1 N - T AH0 N +MENTOR M EH1 N - T AO2 R +MENTOR'S M EH1 N - T AO2 R Z +MENTOR(2) M EH1 N - T ER0 +MENTORED M EH1 N - T ER0 D +MENTORING M EH1 N - T ER0 - IH0 NG +MENTORS M EH1 N - T ER0 Z +MENTORS(2) M EH1 N - T AO2 R Z +MENTZ M EH1 N T S +MENTZEL M EH1 N T - Z AH0 L +MENTZER M EH1 N T - Z ER0 +MENU M EH1 - N Y UW0 +MENUHIN M AH0 - N UW1 - HH IH0 N +MENUHIN(2) M IH0 - N Y UW1 - IH0 N +MENUS M EH1 - N Y UW0 Z +MENZ M EH1 N Z +MENZE M EH1 N Z +MENZEL M EH1 N - Z AH0 L +MENZER M EH1 N - Z ER0 +MENZIE M EH1 N - Z IY0 +MENZIES M EH1 N - Z IY0 Z +MENZIONE M EH0 N - Z IY0 - OW1 - N IY0 +MENZIONE(2) M EH0 N Z - Y OW1 - N IY0 +MEO M IY1 - OW0 +MEOLA M IY0 - AA1 - L AH0 +MEOW M IY0 - AW1 +MEQUON M EH1 - K W AH0 N +MER M EH1 R +MER(2) M ER1 +MERABANK M EH1 - R AH0 - B AE2 NG K +MERANDA M ER0 - AA1 N - D AH0 +MERAZ M EH1 - R AA0 Z +MERC M ER1 K +MERC'S M ER1 K S +MERC'S(2) M AA1 R K S +MERC(2) M AA1 R K +MERCADANTE M ER0 - K AA0 - D AA1 N - T IY0 +MERCADO M ER0 - K AA1 - D OW0 +MERCANTIL M ER0 - K AE1 N - T IH0 L +MERCANTILE M ER1 - K AH0 N - T AY2 L +MERCANTILE'S M ER1 - K AH0 N - T IY2 L Z +MERCANTILISM M ER0 - K AE1 N - T AH0 - L IH2 - Z AH0 M +MERCANTILIST M ER0 - K AE1 N - T AH0 - L IH0 S T +MERCATOR M ER0 - K EY1 - T ER0 +MERCE M ER1 S +MERCEDES M ER0 - S EY1 - D IY0 Z +MERCEDES'S M ER0 - S EY1 - D IY0 Z +MERCEDES'S(2) M ER0 - S EY1 - D IY0 - Z IH0 Z +MERCEDESES M ER2 - S EY1 - D IY2 - Z IH0 Z +MERCEDESES(2) M ER2 - S EY1 - D IY2 Z +MERCENARIES M ER1 - S AH0 - N EH2 - R IY0 Z +MERCENARY M ER1 - S AH0 - N EH2 - R IY0 +MERCER M ER1 - S ER0 +MERCHANDISE M ER1 - CH AH0 N - D AY2 Z +MERCHANDISER M ER1 - CH AH0 N - D AY2 - Z ER0 +MERCHANDISERS M ER1 - CH AH0 N - D AY2 - Z ER0 Z +MERCHANDISING M ER1 - CH AH0 N - D AY2 - Z IH0 NG +MERCHANT M ER1 - CH AH0 N T +MERCHANT'S M ER1 - CH AH0 N T S +MERCHANTMEN M ER1 - CH AH0 N T - M IH0 N +MERCHANTS M ER1 - CH AH0 N T S +MERCHANTS' M ER1 - CH AH0 N T S +MERCHANTSBANK M ER1 - CH AH0 N T S - B AE2 NG K +MERCIER M ER1 - S IY0 - ER0 +MERCIES M ER1 - S IY0 Z +MERCIFUL M ER1 - S IH0 - F AH0 L +MERCIFULLY M ER1 - S IH0 - F AH0 - L IY0 +MERCIFULLY(2) M ER1 - S IH0 F - L IY0 +MERCILESS M ER1 - S AH0 - L AH0 S +MERCILESSLY M ER1 - S AH0 - L AH0 S - L IY0 +MERCK M ER1 K +MERCK'S M ER1 K S +MERCLAND M ER1 K - L AE0 N D +MERCOSUR M ER1 - K OW2 - S ER2 +MERCURE M ER0 - K UH1 - R IY0 +MERCURI M ER0 - K UH1 - R IY0 +MERCURIAL M ER0 - K Y UH1 - R IY0 - AH0 L +MERCURIC M ER0 - K Y UH1 - R IH0 K +MERCURIO M ER0 - K UH1 - R IY0 - OW0 +MERCURY M ER1 - K Y ER0 - IY0 +MERCURY'S M ER1 - K Y ER0 - IY0 Z +MERCY M ER1 - S IY0 +MERDYCE M ER1 - D AY0 S +MERE M IH1 R +MEREDITH M EH1 - R IH0 - D IH0 TH +MERELY M IH1 R - L IY0 +MERENDA M EH0 - R EY1 N - D AH0 +MERENDINO M ER0 - EH0 N - D IY1 - N OW0 +MEREST M EH1 - R AH0 S T +MERETZ M EH1 - R EH0 T S +MERFELD M ER1 - F EH0 L D +MERGE M ER1 JH +MERGED M ER1 JH D +MERGEN M ER1 - G AH0 N +MERGER M ER1 - JH ER0 +MERGER'S M ER1 - JH ER0 Z +MERGERS M ER1 - JH ER0 Z +MERGES M ER1 - JH IH0 Z +MERGING M ER1 - JH IH0 NG +MERHIGE M ER0 - HH IY1 JH +MERIAM M IH1 - R IY0 - IH0 M +MERICA M EH1 - R IH0 - K AH0 +MERICANTANTE M EH0 - R IY2 - K AH0 N - T AA1 N - T EY0 +MERICLE M EH1 - R IH0 - K AH0 L +MERICOPA M EH2 - R AH0 - K OW1 - P AH0 +MERIDA M ER0 - IY1 - D AH0 +MERIDEN M EH1 - R IH0 - D AH0 N +MERIDETH M EH1 - R IH0 - D IH0 TH +MERIDIAN M ER0 - IH1 - D IY0 - AH0 N +MERIDIAN'S M ER0 - IH1 - D IY0 - AH0 N Z +MERIDIEN M ER0 - IH1 - D IY0 - AH0 N +MERIDIONALE M ER0 - IH2 - D IY0 - AH0 - N AA1 - L IY0 +MERIDITH M EH1 - R IH0 - D IH0 TH +MERIDOR M EH1 - R IH0 - D AO0 R +MERIEL M IH1 - R IY0 L +MERIEUX M EH1 - R IY0 - UW2 +MERILLAT M EH1 - R IH0 - L AE0 T +MERINO M ER0 - IY1 - N OW0 +MERION M EH1 - R IY0 - AH0 N +MERIS M EH1 - R AH0 S +MERISEL M EH1 - R IH0 - S EH2 L +MERIT M EH1 - R AH0 T +MERITED M EH1 - R IH0 - T IH0 D +MERITHEW M ER0 - IH1 - TH Y UW0 +MERITLESS M EH1 - R IH0 T - L AH0 S +MERITOCRACY M EH0 - R IH0 - T AO1 - K R AH0 - S IY0 +MERITOR M EH1 - R AH0 - T ER0 +MERITOR(2) M EH1 - R AH0 - T AO2 R +MERITORIOUS M EH2 - R AH0 - T AO1 - R IY0 - AH0 S +MERITS M EH1 - R AH0 T S +MERITS(2) M EH1 - R IH0 T S +MERITT M EH1 - R IH0 T +MERIWEATHER M EH1 - R IH0 - W EH2 - DH ER0 +MERIWETHER M EH1 - R IH0 - W EH2 - DH ER0 +MERK M ER1 K +MERKEL M ER1 - K AH0 L +MERKER M ER1 - K ER0 +MERKEY M ER1 - K IY0 +MERKIN M ER1 - K IH0 N +MERKLAN M ER1 - K L AH0 N +MERKLE M ER1 - K AH0 L +MERKLEY M ER1 K - L IY0 +MERKLIN M ER1 - K L IH0 N +MERKSAMER M ER1 K - S AH0 - M ER0 +MERKT M ER1 K T +MERKUR M ER1 - K ER0 +MERL M ER1 L +MERLE M ER1 L +MERLIN M ER1 - L IH0 N +MERLINA M ER0 - L IY1 - N AH0 +MERLINE M ER1 - L AY0 N +MERLINO M ER0 - L IY1 - N OW0 +MERLINS M ER1 - L IH0 N Z +MERLIS M ER1 - L IY0 Z +MERLO M EH1 R - L OW0 +MERLOT M ER1 - L AH0 T +MERMAID M ER1 - M EY2 D +MERMAIDS M ER1 - M EY2 D Z +MERMAN M ER1 - M AE2 N +MERMELSTEIN M ER1 - M AH0 L - S T AY0 N +MERMELSTEIN(2) M ER1 - M AH0 L - S T IY0 N +MERNA M EH1 R - N AH0 +MERNER M ER1 - N ER0 +MERNICK M ER1 - N IH0 K +MERO M EH1 - R OW0 +MEROLA M ER0 - OW1 - L AH0 +MEROLLA M ER0 - OW1 - L AH0 +MERONEY M EH1 - R AH0 - N IY0 +MEROW M EH1 - R OW0 +MERRELL M EH1 - R AH0 L +MERRETT M EH1 - R IH0 T +MERRIAM M EH1 - R IY0 - AH0 M +MERRICK M EH1 - R IH0 K +MERRICKS M EH1 - R IH0 K S +MERRIE M EH1 - R IY0 +MERRIER M EH1 - R IY0 - ER0 +MERRIFIELD M EH1 - R IH0 - F IY2 L D +MERRIGAN M EH1 - R IH0 - G AH0 N +MERRIHEW M ER0 - IH1 - HH Y UW0 +MERRILL M EH1 - R AH0 L +MERRILL'S M EH1 - R AH0 L Z +MERRILY M EH1 - R AH0 - L IY0 +MERRIMAC M EH1 - R IH0 - M AE0 K +MERRIMACK M EH1 - R IH0 - M AE2 K +MERRIMAN M EH1 - R IH0 - M AH0 N +MERRIN M EH1 - R IH0 N +MERRIOTT M EH1 - R IY0 - AH0 T +MERRIT M EH1 - R IH0 T +MERRITT M EH1 - R IH0 T +MERRITTS M EH1 - R IH0 T S +MERRIWEATHER M EH0 - R IH0 - W EH1 - DH ER0 +MERRIWETHER M EH1 - R IH0 - W EH0 - DH ER0 +MERROW M EH1 - R OW0 +MERRY M EH1 - R IY0 +MERRY-GO-ROUND M EH1 - R IY0 - G OW0 - R AW2 N D +MERRYFIELD M EH1 - R IY0 - F IY2 L D +MERRYMAN M EH1 - R IY0 - M AH0 N +MERS M ER1 Z +MERSCH M ER1 SH +MERSEREAU M ER1 - S ER0 - OW0 +MERSHON M ER1 - SH AH0 N +MERSMAN M ER1 S - M AH0 N +MERSON M ER1 - S AH0 N +MERTA M EH1 R - T AH0 +MERTEN M ER1 - T AH0 N +MERTENS M ER1 - T AH0 N Z +MERTES M EH1 R - T EH0 S +MERTICE M EH1 R - T IH0 S +MERTINS M ER1 - T IH0 N Z +MERTLE M ER1 - T AH0 L +MERTON M ER1 - T AH0 N +MERTZ M ER1 T S +MERV M ER1 V +MERVIN M ER1 - V IH0 N +MERVINE M ER1 - V AY0 N +MERVIS M ER1 - V IH0 S +MERVYN M ER1 - V IH0 N +MERVYN'S M ER1 - V IH0 N Z +MERWE M ER1 - W IY0 +MERWIN M ER1 - W IH0 N +MERWYN M ER1 - W IH0 N +MERYL M EH1 - R AH0 L +MERYLL M EH1 - R AH0 L +MERZ M ER1 Z +MESA M EY1 - S AH0 +MESA'S M EY1 - S AH0 Z +MESABA M EH0 - S AA1 - B AH0 +MESAROS M EY0 - S AA1 - R OW0 Z +MESBIC M EH1 S - B IH0 K +MESBICS M EH1 S - B IH0 K S +MESCALERO M EH2 - S K AH0 - L EH1 - R OW0 +MESCALINE M EH1 S - K AH0 - L IY2 N +MESCH M EH1 SH +MESCHED M EH1 - SH EH0 D +MESCHER M EH1 - SH ER0 +MESCHKE M EH1 SH K +MESELSOHN M EH1 - Z AH0 L - S AH0 N +MESELSON M EH1 - Z AH0 L - S AH0 N +MESENBRINK M EH1 - S IH0 N - B R IH0 NG K +MESENTERIC M EH2 - S AH0 N - T EH1 - R IH0 K +MESEROLE M EH0 - S ER0 - OW1 - L IY0 +MESERVE M EH1 - S ER0 V +MESERVEY M EH0 - Z ER0 - V EY1 +MESH M EH1 SH +MESHED M EH1 SH T +MESHELL M EH1 - SH AH0 L +MESHES M EH1 - SH IH0 Z +MESHING M EH1 - SH IH0 NG +MESHULAM M EH1 - SH UW0 - L AE0 M +MESICK M EH1 - S IH0 K +MESIROW M EH1 - S IH0 - R OW0 +MESKE M EH1 S K +MESKER M EH1 - S K ER0 +MESKILL M EH1 - S K IH0 L +MESKIMEN M EH1 S - K IY0 - M EH0 N +MESKO M EH1 - S K OW0 +MESLER M EH1 - S AH0 - L ER0 +MESLER(2) M EH1 S - L ER0 +MESMER M EH1 Z - M ER0 +MESMERISM M EH1 S - M ER0 - IH2 - Z AH0 M +MESMERIZE M EH1 Z - M ER0 - AY2 Z +MESMERIZED M EH1 Z - M ER0 - AY2 Z D +MESMERIZING M EH1 Z - M ER0 - AY2 - Z IH0 NG +MESNER M EH1 S - N ER0 +MESODERMAL M EH2 - Z AH0 - D ER1 - M AH0 L +MESOLITHIC M EH2 - Z AH0 - L IH1 - TH IH0 K +MESON M EY1 - Z AA2 N +MESONS M IY1 - Z AA2 N Z +MESOPOTAMIA M EH2 - S AH0 - P AH0 - T EY1 - M IY0 - AH0 +MESOPOTAMIAN M EH2 - S AH0 - P AH0 - T EY1 - M IY0 - AH0 N +MESOPOTAMIANS M EH2 - S AH0 - P AH0 - T EY1 - M IY0 - AH0 N Z +MESOTHELIOMA M EH2 - S AH0 - TH IY2 - L IY0 - OW1 - M AH0 +MESOTHORAX M EH2 - Z AH0 - TH AO1 - R AE2 K S +MESOZOIC M EH2 - S AH0 - Z OW1 - IH0 K +MESQUITE M EH1 - S K IY2 T +MESS M EH1 S +MESSA M EH1 - S AH0 +MESSAGE M EH1 - S AH0 JH +MESSAGE(2) M EH1 - S IH0 JH +MESSAGEPAD M EH1 - S AH0 JH - P AE2 D +MESSAGES M EH1 - S AH0 - JH AH0 Z +MESSAGES(2) M EH1 - S IH0 - JH IH0 Z +MESSAGING M EH1 - S IH0 - JH IH0 NG +MESSAMORE M EH0 - S AA1 - M AO0 R +MESSANA M EH0 - S AE1 - N AH0 +MESSED M EH1 S T +MESSEL M EH1 - S AH0 L +MESSENGER M EH1 - S AH0 N - JH ER0 +MESSENGER(2) M EH1 - S IH0 N - JH ER0 +MESSENGERS M EH1 - S AH0 N - JH ER0 Z +MESSER M EH1 - S ER0 +MESSERLI M EH1 - S ER0 - L IY0 +MESSERLY M EH1 - S ER0 - L IY0 +MESSERSCHMIDT M EH1 - S ER0 SH - M IH2 T +MESSERSCHMITT M EH1 - S ER0 SH - M IH2 T +MESSERSMITH M EH1 - S ER0 - S M IH2 TH +MESSES M EH1 - S IH0 Z +MESSIAEN M EH1 - S IY0 - EY2 N +MESSIAEN'S M EH1 - S IY0 - EY2 N Z +MESSIAH M AH0 - S AY1 - AH0 +MESSIAHS M AH0 - S AY1 - AH0 Z +MESSIANIC M EH2 - S IY0 - AE1 - N IH0 K +MESSICK M EH1 - S IH0 K +MESSIER M EH1 - S IY0 - ER0 +MESSIMER M EH1 - S IH0 - M ER0 +MESSINA M IH0 - S IY1 - N AH0 +MESSINEO M EH2 - S IH1 - N IY0 - OW0 +MESSING M EH1 - S IH0 NG +MESSINGER M EH1 - S IH0 - NG ER0 +MESSLER M EH1 S - L ER0 +MESSMAN M EH1 S - M AH0 N +MESSMER M EH1 S - M ER0 +MESSMORE M EH1 S - M AO0 R +MESSNER M EH1 S - N ER0 +MESSRS M EH1 - S ER0 Z +MESSRS. M EH1 - S ER0 Z +MESSRS.(2) M IH0 - S UW1 R Z +MESSY M EH1 - S IY0 +MEST M EH1 S T +MESTA M EH1 - S T AH0 +MESTAS M EH1 - S T AH0 Z +MESTEK M EH1 - S T EH2 K +MESTER M EH1 - S T ER0 +MESTIZO M EH0 - S T IY1 - Z OW0 +MESTON M EH1 - S T AH0 N +MESTRALLET M EH1 S - T R AH0 - L EH2 T +MESTRE M EH1 - S T ER0 +MESTROVIC M EH1 S - T R OW0 - V IH0 K +MESZAROS M IH0 - SH AA1 - R OW0 Z +MET M EH1 T +MET'S M EH1 T S +META M IY1 - T AH0 +METABOLIC M EH2 - T AH0 - B AA1 - L IH0 K +METABOLISM M AH0 - T AE1 - B AH0 - L IH2 - Z AH0 M +METABOLISMS M AH0 - T AE1 - B AH0 - L IH2 - Z AH0 M Z +METABOLIZE M AH0 - T AE1 - B AH0 - L AY2 Z +METACARPAL M EH2 - T AH0 - K AA1 R - P AH0 L +METACARPALS M EH2 - T AH0 - K AA1 R - P AH0 L Z +METAGOGUE M EH1 - T AH0 - G AO2 G +METAGOGUED M EH1 - T AH0 - G AO2 G D +METAIRIE M AH0 - T EH1 - R IY0 +METAL M EH1 - T AH0 L +METAL'S M EH1 - T AH0 L Z +METALL M EH1 - T AO1 L +METALLATZ M EH1 - T AE1 - L AH0 T S +METALLGESELLSCHAFT M EH2 - T AH0 L - G EH1 - S AH0 L - SH AE2 F T +METALLGESELLSCHAFT'S M EH2 - T AH0 L - G EH1 - S AH0 L - SH AE2 F T S +METALLIC M AH0 - T AE1 - L IH0 K +METALLIC'S M AH0 - T AE1 - L IH0 K S +METALLICA M AH0 - T AE1 - L IH0 - K AH0 +METALLICA'S M AH0 - T AE1 - L IH0 - K AH0 Z +METALLO M EH0 - T AA1 - L OW0 +METALLURGICAL M EH2 - T AH0 - L ER1 - JH IH0 - K AH0 L +METALLURGY M EH1 - T AH0 - L ER0 - JH IY0 +METALS M EH1 - T AH0 L Z +METALS' M EH1 - T AH0 L Z +METALWORK M EH1 - T AH0 L - W ER2 K +METALWORKER M EH1 - T AH0 L - W ER2 - K ER0 +METALWORKERS M EH1 - T AH0 L - W ER2 - K ER0 Z +METALWORKING M EH1 - T AH0 L - W ER2 - K IH0 NG +METAMORPHIC M EH2 - T AH0 - M AO1 R - F IH0 K +METAMORPHOSE M EH2 - T AH0 - M AO1 R - F OW0 Z +METAMORPHOSIS M EH2 - T AH0 - M AO1 R - F AH0 - S AH0 S +METAMUCIL M EH2 - T AH0 - M Y UW1 - S AH0 L +METAMUCIL'S M EH2 - T AH0 - M Y UW1 - S AH0 L Z +METAPHOR M EH1 - T AH0 - F AO0 R +METAPHORICAL M EH2 - T AH0 - F AO1 - R IH0 - K AH0 L +METAPHORICALLY M EH2 - T AH0 - F AO1 - R IH0 K - L IY0 +METAPHORS M EH1 - T AH0 - F AO0 R Z +METAPHYSICAL M EH2 - T AH0 - F IH1 - Z IH0 - K AH0 L +METAPHYSICS M EH2 - T AH0 - F IH1 - Z IH0 K S +METASTASIZE M AH0 - T AE1 - S T AH0 - S AY2 Z +METASTASIZED M AH0 - T AE1 - S T AH0 - S AY2 Z D +METATHORAX M EH2 - T AH0 - TH AO1 - R AE2 K S +METAVSKY M AH0 - T AE1 V - S K IY0 +METAXAS M AH0 - T AE1 K - S AH0 S +METCALF M EH1 T - K AE2 F +METCALFE M EH1 T - K AH0 L F +METCOM M EH1 T - K AA0 M +METE M IY1 T +METED M IY1 - T IH0 D +METEOR M IY1 - T IY0 - ER0 +METEORIC M IY2 - T IY0 - AO1 - R IH0 K +METEORITE M IY1 - T IY0 - AO0 - R AY2 T +METEOROLOGICAL M IY2 - T IY0 - AO2 - R AH0 - L AA1 - JH IH0 - K AH0 L +METEOROLOGIST M IY2 - T IY0 - ER0 - AA1 - L AH0 - JH IH0 S T +METEOROLOGISTS M IY2 - T IY0 - ER0 - AA1 - L AH0 - JH IH0 S T S +METEOROLOGISTS(2) M IY2 - T IY0 - ER0 - AA1 - L AH0 - JH IH0 S S +METEOROLOGISTS(3) M IY2 - T IY0 - ER0 - AA1 - L AH0 - JH IH0 S +METEOROLOGY M IY2 - T IY0 - ER0 - AA1 - L AH0 - JH IY0 +METEORS M IY1 - T IY0 - ER0 Z +METER M IY1 - T ER0 +METERED M IY1 - T ER0 D +METERING M IY1 - T ER0 - IH0 NG +METERS M IY1 - T ER0 Z +METEX M EH1 - T EH2 K S +METH M EH1 TH +METHADONE M EH1 - TH AH0 - D OW2 N +METHAMPHETAMINE M EH2 - TH AE0 M - F EH1 - T AH0 - M IY0 N +METHAMPHETAMINE(2) M EH2 - TH AE0 M - F EH1 - T AH0 - M AY0 N +METHANE M EH1 - TH EY2 N +METHANEX M EH1 - TH AH0 - N EH2 K S +METHANOL M EH1 - TH AH0 - N AA2 L +METHAZINE M EH1 - TH AH0 - Z IY2 N +METHENEY M EH1 - TH IH0 - N IY0 +METHENY M EH1 - TH IH0 - N IY0 +METHNER M EH1 TH - N ER0 +METHOD M EH1 - TH AH0 D +METHODE M AH0 - TH OW1 D +METHODICAL M AH0 - TH AA1 - D AH0 - K AH0 L +METHODICAL(2) M AH0 - TH AA1 - D IH0 - K AH0 L +METHODICALLY M AH0 - TH AA1 - D IH0 - K AH0 - L IY0 +METHODICALLY(2) M AH0 - TH AA1 - D IH0 K - L IY0 +METHODISM M EH1 - TH AH0 - D IH2 - Z AH0 M +METHODISMS M EH1 - TH AH0 - D IH2 - Z AH0 M Z +METHODIST M EH1 - TH AH0 - D AH0 S T +METHODIST(2) M EH1 - TH AH0 - D IH0 S T +METHODOLOGICAL M EH2 - TH AH0 - D AH0 - L AA1 - JH IH0 - K AH0 L +METHODOLOGIES M EH2 - TH OW0 - D AA1 - L AH0 - JH IY0 Z +METHODOLOGY M EH2 - TH AH0 - D AA1 - L AH0 - JH IY0 +METHODS M EH1 - TH AH0 D Z +METHOT M EH1 - TH AH0 T +METHOTREXATE M EH2 - TH OW0 - T R EH1 K - S EY2 T +METHUSELAH M AH0 - TH Y UW1 - Z AH0 - L AH0 +METHVIN M EH1 TH - V IH0 N +METHYL M EH1 - TH AH0 L +METHYLENE M EH1 - TH IH0 - L IY2 N +METICS M EH1 - T IH0 K S +METICULOUS M AH0 - T IH1 - K Y AH0 - L AH0 S +METICULOUSLY M AH0 - T IH1 - K Y AH0 - L AH0 S - L IY0 +METIER M EH1 - T Y ER0 +METIS M EH1 - T IH0 S +METIVIER M EH1 - T IH0 - V IY0 - ER0 +METLIFE M EH1 T - L AY2 F +METOLACHLOR M AH0 - T OW1 - L AH0 K - L ER0 +METONOMY M AH0 - T AO1 - N AH0 - M IY0 +METOYER M EH1 - T OY0 - ER0 +METPATH M EH1 T - P AE2 TH +METRA M EH1 - T R AH0 +METRAHEALTH M EH1 - T R AH0 - HH EH2 L TH +METRIC M EH1 - T R IH0 K +METRICAL M EH1 - T R IH0 - K AH0 L +METRICALLY M EH1 - T R IH0 - K AH0 - L IY0 +METRICK M EH1 - T R IH0 K +METRICS M EH1 - T R IH0 K S +METRO M EH1 - T R OW2 +METRO'S M EH1 - T R OW0 Z +METROBANC M EH1 - T R OW0 - B AE2 NG K +METROBANK M EH1 - T R OW0 - B AE2 NG K +METROCALL M EH1 - T R OW2 - K AO2 L +METROCOLOR M EH1 - T R OW0 - K AH1 - L ER0 +METROCORP M EH1 - T R OW0 - K AO2 R P +METRODADE M EH2 - T R OW0 - D EY1 D +METRODOME M EH1 - T R OW0 - D OW2 M +METRODOME(2) M EH1 - T R AH0 - D OW2 M +METROMAIL M EH1 - T R OW0 - M EY2 L +METROMEDIA M EH2 - T R OW0 - M IY1 - D IY0 - AH0 +METROPLEX M EH1 - T R OW0 - P L EH2 K S +METROPOL M EH1 - T R AH0 - P OW2 L +METROPOL'S M EH1 - T R AH0 - P OW2 L Z +METROPOLIS M AH0 - T R AA1 - P AH0 - L AH0 S +METROPOLITAIN M EH2 - T R AH0 - P AO1 - L AH0 - T AH0 N +METROPOLITAN M EH2 - T R AH0 - P AA1 - L AH0 - T AH0 N +METROPOLITAN'S M EH2 - T R AH0 - P AA1 - L AH0 - T AH0 N Z +METROPOLITANS M EH2 - T R AH0 - P AA1 - L AH0 - T AH0 N Z +METS M EH1 T S +METS' M EH1 T S +METSKER M EH1 T - S K ER0 +METTE M EH1 T +METTER M EH1 - T ER0 +METTERNICH M EH1 - T ER0 - N IH0 CH +METTLE M EH1 - T AH0 L +METTLEN M EH1 T - L AH0 N +METTLER M EH1 T - L ER0 +METTS M EH1 T S +METTUR M EH1 - T ER0 +METZ M EH1 T S +METZE M EH1 T Z +METZENBAUM M EH1 T - S AH0 N - B AW2 M +METZENBAUM'S M EH1 T - S AH0 N - B AW2 M Z +METZER M EH1 T - S ER0 +METZGAR M EH1 T S - G ER0 +METZGER M EH1 T S - G ER0 +METZGER'S M EH1 T S - G ER0 Z +METZINGER M EH1 T - Z IH0 - NG ER0 +METZKER M EH1 T - S K ER0 +METZLER M EH1 T S - L ER0 +METZNER M EH1 T S - N ER0 +MEUNIER M OY1 - N IY0 - ER0 +MEURER M ER1 - ER0 +MEUSE M Y UW1 Z +MEUSER M OY1 - S ER0 +MEUTH M Y UW1 TH +MEVACOR M EH1 - V AH0 - K AO2 R +MEVARACH M AH0 - V AA1 - R AH0 CH +MEVARACH'S M AH0 - V AA1 - R AH0 - CH AH0 Z +MEVARACHS M AH0 - V AA1 - R AH0 - CH AH0 Z +MEW M Y UW1 +MEWAS M Y UW1 - AH0 S +MEWAS(2) M IY1 - W AH0 S +MEWBORN M Y UW1 - B ER0 N +MEWES M Y UW1 Z +MEX M EH1 K S +MEXICALI M EH2 K - S IH0 - K AA1 - L IY0 +MEXICAN M EH1 K - S AH0 - K AH0 N +MEXICANA M EH2 K - S IH0 - K AE1 - N AH0 +MEXICANO M EH2 K - S IH0 - K AA1 - N OW0 +MEXICANOS M EH2 K - S IH0 - K AA1 - N OW0 Z +MEXICANS M EH1 K - S IH0 - K AH0 N Z +MEXICO M EH1 K - S AH0 - K OW2 +MEXICO'S M EH1 K - S AH0 - K OW2 Z +MEY M EY1 +MEYER M AY1 - ER0 +MEYER'S M AY1 - ER0 Z +MEYERBEER M AY1 - ER0 - B IH2 R +MEYERHOFF M AY1 - ER0 - HH AO0 F +MEYERING M EY1 - ER0 - IH0 NG +MEYERMAN M AY1 - ER0 - M AH0 N +MEYEROWITZ M AY1 - ER0 - AH0 - W IH0 T S +MEYERS M AY1 - ER0 Z +MEYERSON M AY1 - ER0 - S AH0 N +MEYN M EY1 N +MEYO M EY1 - OW0 +MEYOHAS M EY0 - OW1 - HH AA0 S +MEZA M EH1 - Z AH0 +MEZERA M EY0 - Z EH1 - R AH0 +MEZEY M EH1 - Z IY0 +MEZGER M EH1 Z - JH ER0 +MEZO M EH1 - Z OW0 +MEZVINSKY M EH2 Z - V IH1 N - S K IY0 +MEZVINSKY'S M EH2 Z - V IH1 N - S K IY0 Z +MEZZALUNA M EH2 T - S AH0 - L UW1 - N AH0 +MEZZALUNA(2) M EH2 - Z AH0 - L UW1 - N AH0 +MEZZANINE M EH1 - Z AH0 - N IY2 N +MEZZO M EH1 - Z OW0 +MFUME EH2 M - F UW1 - M EY2 +MGM EH1 M - G IY1 - EH1 M +MH EH1 - M EY1 CH +MHM AH0 M - HH AH0 M +MHOON M HH UW1 N +MI M IY1 +MI-VAMI M IY0 - V AE1 - M IY0 +MIA M IY1 - AH0 +MIAMI M AY0 - AE1 - M IY0 +MIAMI'S M AY0 - AE1 - M IY0 Z +MIANO M IY0 - AA1 - N OW0 +MIARA M AY0 - AA1 - R AH0 +MIASMA M IY0 - AE1 Z - M AH0 +MIASMA(2) M AY0 - AE1 Z - M AH0 +MIATA M IY0 - AA1 - T AH0 +MIAZGA M IY0 - AA1 Z - G AH0 +MIB M IH1 B +MIC M IH1 K +MICA M AY1 - K AH0 +MICAELA M IY0 - K EY1 - L AH0 +MICAH M AY1 - K AH0 +MICALE M IY0 - K AA1 - L IY0 +MICALLEF M IH1 - K AH0 - L EH0 F +MICANOPY M IH0 - K AE1 - N AH0 - P IY0 +MICATIN M AY1 - K AH0 - T IH0 N +MICCICHE M IY0 - CH IY1 - K IY0 +MICCIO M IY1 - CH IY0 - OW0 +MICE M AY1 S +MICEK M IH1 - CH EH0 K +MICELI M IY0 - CH EH1 - L IY0 +MICH M IH1 CH +MICHAEL M AY1 - K AH0 L +MICHAEL'S M AY1 - K AH0 L Z +MICHAELA M AY0 - K EH1 - L AH0 +MICHAELINA M AY2 - K AH0 - L IY1 - N AH0 +MICHAELINE M AY1 - K AH0 - L AY0 N +MICHAELINE(2) M AY1 - K AH0 - L IY0 N +MICHAELIS M AY2 - K EH1 - L IH0 S +MICHAELLA M AY2 - K EH1 - L AH0 +MICHAELS M AY1 - K AH0 L Z +MICHAELSEN M AY1 - K AH0 L - S AH0 N +MICHAELSON M AY1 - K AH0 L - S AH0 N +MICHAL M IH1 - CH AH0 L +MICHALAK M IH1 - CH AH0 - L AE0 K +MICHALEC M IH0 - HH AA1 - L IH0 K +MICHALEK M IH0 - HH AA1 - L EH0 K +MICHALIK M IH1 - K AH0 - L IH0 K +MICHALOWSKI M IH2 - CH AH0 - L AO1 F S - K IY0 +MICHALS M IH1 - CH AH0 L Z +MICHALSKI M IH2 - CH AA1 L S - K IY0 +MICHALSKY M IH2 - CH AA1 L S - K IY0 +MICHAUD M IH0 - SH OW1 +MICHAUX M IH0 - SH OW1 +MICHCON M IH1 SH - K AA0 N +MICHCON'S M IH1 SH - K AA0 N Z +MICHEAL M AY1 - K AH0 L +MICHEAUX M IH0 - SH OW1 +MICHEAUX'S M IH0 - SH OW1 Z +MICHEL M IH0 - SH EH1 L +MICHEL'S M IH2 - SH EH1 L Z +MICHEL'S(2) M IH1 - CH AH0 L Z +MICHEL'S(3) M AY1 - K AH0 L Z +MICHEL(2) M IH1 - CH AH0 L +MICHEL(3) M AY1 - K AH0 L +MICHELA M IH0 - K EY1 - L AH0 +MICHELA'S M IH0 - K EY1 - L AH0 Z +MICHELANGELO M AY2 - K AH0 - L AE1 N - JH AH0 - L OW2 +MICHELANGELO'S M AY2 - K AH0 - L AE1 N - JH AH0 - L OW2 Z +MICHELANGELO'S(2) M IH2 - K AH0 - L AE1 N - JH AH0 - L OW2 Z +MICHELANGELO(2) M IH2 - K AH0 - L AE1 N - JH AH0 - L OW2 +MICHELE M IH0 - SH EH1 L +MICHELETTI M IH0 - K AH0 - L EH1 - T IY0 +MICHELI M IH0 - K EH1 - L IY0 +MICHELIN M IH1 - SH AH0 - L AH0 N +MICHELIN(2) M IH1 SH - L AH0 N +MICHELINA M IH0 - K AH0 - L IY1 - N AH0 +MICHELINE M IH2 - SH AH0 - L AH0 N +MICHELINI M IH0 - K AH0 - L IY1 - N IY0 +MICHELL M IH1 - CH AH0 L +MICHELLE M IH0 - SH EH1 L +MICHELLE'S M IH0 - SH EH1 L Z +MICHELLI M IH0 - CH EH1 - L IY0 +MICHELMAN M AY1 - K AH0 L - M AH0 N +MICHELOB M IH1 - K AH0 - L OW0 B +MICHELOTTI M IH0 - K AH0 - L OW1 - T IY0 +MICHELS M IH0 - SH EH1 L Z +MICHELSEN M AY1 - K AH0 L - S AH0 N +MICHELSON M AY1 - K AH0 L - S AH0 N +MICHENER M IH1 CH - N ER0 +MICHENER'S M IH1 CH - N ER0 Z +MICHIE M IH1 - CH IY0 +MICHIELS M AY1 - K AH0 L Z +MICHIELS(2) M IH1 - CH IY0 L Z +MICHIGAN M IH1 - SH IH0 - G AH0 N +MICHIGAN'S M IH1 - SH IH0 - G AH0 N Z +MICHIHIRO M IH2 - CH IY0 - HH IY1 - R OW0 +MICHIO M IH1 - CH IY0 - OW0 +MICHL M IH1 - CH AH0 L +MICHLER M IH1 CH - L ER0 +MICHNA M IH1 CH - N AH0 +MICHOACAN M IH0 - CH OW1 - K AH0 N +MICHON M IH1 - CH AH0 N +MICK M IH1 K +MICKA M IH1 - K AH0 +MICKE M IH1 K +MICKEL M IH1 - K AH0 L +MICKELBERRY M IH1 - K AH0 L - B EH2 - R IY0 +MICKELS M IH1 - K AH0 L Z +MICKELSEN M IH1 - K AH0 L - S AH0 N +MICKELSON M IH1 - K AH0 L - S AH0 N +MICKENS M IH1 - K AH0 N Z +MICKEY M IH1 - K IY0 +MICKEY'S M IH1 - K IY0 Z +MICKI M IH1 - K IY0 +MICKIE M IH1 - K IY0 +MICKIEWICZ M IH1 - K AH0 - V IH0 CH +MICKISH M IH1 - K IH0 SH +MICKLE M IH1 - K AH0 L +MICKLER M IH1 - K L ER0 +MICKLES M IH1 - K AH0 L Z +MICKLEY M IH1 K - L IY0 +MICKUS M IH1 - K AH0 S +MICKY M IH1 - K IY0 +MICOIN M IH0 - K OY1 N +MICOM M AY1 - K AA0 M +MICOSUKEE M IH2 - K AH0 - S UW1 - K IY0 +MICRO M AY1 - K R OW2 +MICRO'S M AY1 - K R OW0 Z +MICROAGE M AY1 - K R OW0 - EY2 JH +MICROAIRE M AY1 - K R OW0 - EH2 R +MICROAMERICA M AY2 - K R OW0 - AH0 - M EH2 - R IH0 - K AH0 +MICROBE M AY1 - K R OW2 B +MICROBES M AY1 - K R OW2 B Z +MICROBIAL M AY0 - K R OW1 - B IY0 - AH0 L +MICROBILT M AY1 - K R OW0 - B IH2 L T +MICROBIOLOGIST M AY2 - K R OW0 - B IY0 - AA1 - L AH0 - JH IH0 S T +MICROBIOLOGY M AY2 - K R OW0 - B AY2 - AA1 - L AH0 - JH IY0 +MICROBIOLOGY(2) M AY2 - K R AH0 - B AY2 - AA1 - L AH0 - JH IY0 +MICROBREWERIES M AY1 - K R OW2 - B R UW2 - ER0 - IY0 Z +MICROBREWERY M AY1 - K R OW2 - B R UW2 - ER0 - IY0 +MICROCENTRIFUGE M AY2 - K R OW0 - S EH1 N - T R AH0 - F Y UW2 JH +MICROCHIP M AY1 - K R OW2 - CH IH1 P +MICROCHIPS M AY1 - K R OW2 - CH IH1 P S +MICROCIRCUIT M AY1 - K R OW0 - S ER2 - K AH0 T +MICROCIRCUITS M AY1 - K R OW0 - S ER2 - K AH0 T S +MICROCLIMATE M AY1 - K R OW0 - K L AY2 - M AH0 T +MICROCLIMATES M AY1 - K R OW0 - K L AY2 - M AH0 T S +MICROCODE M AY1 - K R OW0 - K OW2 D +MICROCOM M AY1 - K R OW0 - K AA2 M +MICROCOMPUTER M AY1 - K R OW2 - K AH0 M - P Y UW1 - T ER0 +MICROCOMPUTERS M AY1 - K R OW2 - K AH0 M - P Y UW1 - T ER0 Z +MICROCOSM M AY1 - K R AH0 - K AA2 - Z AH0 M +MICRODYNE M AY1 - K R OW0 - D AY2 N +MICROECONOMIC M AY2 - K R OW0 - EH2 - K AH0 - N AA1 - M IH0 K +MICROECONOMICS M AY2 - K R OW0 - EH2 - K AH0 - N AA1 - M IH0 K S +MICROELECTRONIC M AY2 - K R OW0 - IH0 - L EH0 K - T R AA1 - N IH0 K +MICROELECTRONICS M AY2 - K R OW0 - IH0 - L EH0 K - T R AA1 - N IH0 K S +MICROELETTRONICA M AY2 - K R OW0 - IH0 - L EH0 - T R AA1 - N IH0 - K AH0 +MICROFICHE M AY1 - K R OW0 - F IY2 CH +MICROFILM M AY1 - K R AH0 - F IH2 L M +MICROFOSSIL M AY1 - K R OW2 - F AA1 - S AH0 L +MICROFOSSILS M AY1 - K R OW2 - F AA1 - S AH0 L Z +MICROGENESYS M AY2 - K R OW0 - JH EH1 - N AH0 - S IH0 S +MICROGRAFX M AY2 - K R OW0 - G R AE1 - F EH0 K S +MICROGRAM M AY1 - K R OW0 - G R AE2 M +MICROGRAMS M AY1 - K R OW0 - G R AE2 M Z +MICROGRAPHIC M AY2 - K R OW0 - G R AE1 - F IH0 K +MICROGRAPHICS M AY2 - K R OW0 - G R AE1 - F IH0 K S +MICROLITER M AY1 - K R OW0 - L IY0 - T ER0 +MICROLITERS M AY1 - K R OW0 - L IY0 - T ER0 Z +MICROMANAGE M AY2 - K R OW0 - M AE1 - N IH0 JH +MICROMANAGEMENT M AY2 - K R OW0 - M AE1 - N IH0 JH - M AH0 N T +MICROMANAGING M AY2 - K R OW0 - M AE1 - N IH0 - JH IH0 NG +MICROMETER M AY0 - K R AA1 - M AH0 - T ER0 +MICRON M AY1 - K R AA2 N +MICRON'S M AY1 - K R AA2 N Z +MICRONESIA M AY2 - K R OW0 - N IY1 - ZH AH0 +MICRONIC M AY2 - K R AO1 - N IH2 K +MICRONICS M AY2 - K R AO1 - N IH2 K S +MICRONS M AY1 - K R AA2 N Z +MICROORGANISM M AY2 - K R OW0 - AO1 R - G AH0 - N IH2 - Z AH0 M +MICROORGANISMS M AY2 - K R OW0 - AO1 R - G AH0 - N IH2 - Z AH0 M Z +MICROPALEONTOLOGY M AY2 - K R OW0 - P EY2 - L IY0 - AH0 N - T AA1 - L AH0 - JH IY0 +MICROPHONE M AY1 - K R AH0 - F OW2 N +MICROPHONES M AY1 - K R OW0 - F OW2 N Z +MICROPOLIS M AY2 - K R AO1 - P AH0 - L IH0 S +MICROPRO M AY1 - K R OW0 - P R OW2 +MICROPROCESSOR M AY2 - K R OW0 P - R AA1 - S EH0 - S ER0 +MICROPROCESSORS M AY2 - K R OW0 P - R AA1 - S EH0 - S ER0 Z +MICROPROSE M AY1 - K R OW0 - P R OW2 Z +MICROS M AY1 - K R OW0 Z +MICROSCOPE M AY1 - K R AH0 S - K OW2 P +MICROSCOPES M AY1 - K R AH0 S - K OW2 P S +MICROSCOPIC M AY2 - K R AH0 - S K AA1 - P IH0 K +MICROSCOPICALLY M AY2 - K R AH0 - S K AA1 - P IH0 K - L IY0 +MICROSCOPY M AY0 - K R AH1 S - K AH0 - P IY0 +MICROSEMI M AY2 - K R OW0 - S EH1 - M IY0 +MICROSOFT M AY1 - K R OW2 - S AO1 F T +MICROSOFT'S M AY1 - K R OW2 - S AO1 F T S +MICROSOFT'S(2) M AY1 - K R OW2 - S AO1 F S +MICROSYSTEMS M AY1 - K R OW2 - S IH1 - S T AH0 M Z +MICROSYSTEMS' M AY1 - K R OW0 - S IH2 - S T AH0 M Z +MICROTEL M AY1 - K R OW0 - T EH2 L +MICROTUBULES M AY1 - K R OW2 - T UW1 - B Y UW0 L Z +MICROVAX M AY1 - K R OW0 - V AE2 K S +MICROWARE M AY1 - K R OW2 - W EH1 R +MICROWAVABLE M AY2 - K R OW0 - W EY1 - V AH0 - B AH0 L +MICROWAVE M AY1 - K R AH0 - W EY2 V +MICROWAVED M AY1 - K R OW0 - W EY2 V D +MICROWAVES M AY1 - K R OW0 - W EY2 V Z +MICROX M IH1 - K R AH0 K S +MICUCCI M IY0 - K UW1 - CH IY0 +MID M IH1 D +MIDAFTERNOON M IH1 D - AE2 F - T ER0 - N UW2 N +MIDAIR M IH1 D - EH1 R +MIDAMERICA M IH2 - D AH0 - M EH1 - R IH0 - K AH0 +MIDAS M AY1 - D AH0 S +MIDCAP M IH1 D - K AE2 P +MIDCENTURY M IH0 D - S EH1 N - CH ER0 - IY0 +MIDCON M IH1 D - K AA2 N +MIDCONTINENT M IH0 D - K AA1 N - T IH0 - N AH0 N T +MIDCOURSE M IH1 D - K AO1 R S +MIDDAUGH M IH1 - D AO0 +MIDDAY M IH1 D - D EY2 +MIDDENDORF M IH1 - D AH0 N - D AO2 R F +MIDDENSTANDSBANK M IH0 D - EH1 N - S T AE0 N D Z - B AE2 NG K +MIDDLE M IH1 - D AH0 L +MIDDLE-CLASS M IH1 - D AH0 L - K L AE1 S +MIDDLEBROOK M IH1 - D AH0 L - B R UH2 K +MIDDLEBROOKS M IH1 - D AH0 L - B R UH2 K S +MIDDLEBURG M IH1 - D AH0 L - B ER0 G +MIDDLEBURY M IH1 - D AH0 L - B EH2 - R IY0 +MIDDLEKAUFF M IH1 - D AH0 L - K OW0 F +MIDDLEMAN M IH1 - D AH0 L - M AE2 N +MIDDLEMEN M IH1 - D AH0 L - M EH2 N +MIDDLEMISS M IH1 - D AH0 L - M IH2 S +MIDDLESEX M IH1 - D AH0 L - S EH2 K S +MIDDLESWORTH M IH1 - D AH0 L Z - W ER2 TH +MIDDLETON M IH1 - D AH0 L - T AH0 N +MIDDLETOWN M IH1 - D AH0 L - T AW2 N +MIDDLEWEIGHT M IH1 - D AH0 L - W EY2 T +MIDDLING M IH1 - D AH0 L - IH0 NG +MIDDLING(2) M IH1 D - L IH0 NG +MIDEAST M IH1 - D IY2 S T +MIDEASTERN M IH2 - D IY1 - S T ER0 N +MIDFLIGHT M IH1 D - F L AY2 T +MIDGE M IH1 JH +MIDGE'S M IH1 - JH IH0 Z +MIDGES M IH1 - JH AH0 Z +MIDGES(2) M IH1 - JH IH0 Z +MIDGET M IH1 - JH AH0 T +MIDGETMAN M IH1 - JH AH0 T - M AE2 N +MIDGETS M IH1 - JH AH0 T S +MIDGETT M IH1 - JH IH0 T +MIDGETT'S M IH1 - JH AH0 T S +MIDGETTE M IH0 - JH EH1 T +MIDGLEY M IH1 JH - L IY0 +MIDI M IY1 - D IY0 +MIDI'S M IY1 - D IY0 Z +MIDKIFF M IH1 D - K IH0 F +MIDLAND M IH1 D - L AE2 N D +MIDLAND'S M IH1 D - L AE2 N D Z +MIDLANDS M IH1 D - L AE2 N D Z +MIDLANTIC M IH0 D - L AE1 N - T IH0 K +MIDLANTIC(2) M IH0 D - L AE1 - N IH0 K +MIDLER M IH1 D - L ER0 +MIDLEVEL M IH1 D - L AH0 - V AH0 L +MIDLIFE M IH1 D - L AY2 F +MIDLINE M IH1 D - L AY2 N +MIDMORNING M IH1 D - M AO2 R - N IH0 NG +MIDNIGHT M IH1 D - N AY2 T +MIDPAC M IH1 D - P AE2 K +MIDPAC'S M IH1 D - P AE2 K S +MIDPOINT M IH1 D - P OY2 N T +MIDPRICE M IH1 D - P R AY2 S +MIDPRICED M IH1 D - P R AY1 S T +MIDRANGE M IH1 - D R EY2 N JH +MIDRIB M IH1 - D R IH0 B +MIDSEASON M IH1 D - S IY1 - Z AH0 N +MIDSECTION M IH1 D - S EH2 K - SH AH0 N +MIDSESSION M IH1 D - S EH2 - SH AH0 N +MIDSHIPMAN M IH1 D - SH IH1 P - M AH0 N +MIDSHIPMAN'S M IH1 D - SH IH1 P - M AH0 N Z +MIDSHIPMEN M IH1 D - SH IH1 P - M EH0 N +MIDSHIPMEN'S M IH1 D - SH IH1 P - M EH0 N Z +MIDSIZE M IH1 D - S AY2 Z +MIDSIZED M IH1 D - S AY2 Z D +MIDST M IH1 D S T +MIDST(2) M IH1 S T +MIDSTREAM M IH1 D - S T R IY2 M +MIDSUMMER M IH1 D - S AH1 - M ER0 +MIDTERM M IH1 D - T ER2 M +MIDTERMS M IH1 D - T ER2 M Z +MIDTHUN M IH1 D - TH AH0 N +MIDTOWN M IH1 D - T AW2 N +MIDURA M IY0 - D UH1 - R AH0 +MIDWAY M IH1 D - W EY2 +MIDWAY'S M IH1 D - W EY2 Z +MIDWEEK M IH1 D - W IY2 K +MIDWEST M IH2 D - W EH1 S T +MIDWEST'S M IH2 D - W EH1 S T S +MIDWESTERN M IH0 D - W EH1 - S T ER0 N +MIDWESTERNER M IH2 D - W EH1 - S T ER0 - N ER0 +MIDWESTERNERS M IH0 D - W EH1 S - T ER0 - N ER0 Z +MIDWIFE M IH1 D - W AY2 F +MIDWIFERY M IH1 D - W AY2 - F ER0 - IY0 +MIDWINTER M IH1 D - W IH1 N - T ER0 +MIDWINTER'S M IH1 D - W IH1 N - T ER0 Z +MIDWIVES M IH1 D - W AY2 V Z +MIDYEAR M IH1 - D Y IH2 R +MIDYETT M IH2 D - Y EH1 T +MIDYETTE M IH2 D - Y EH1 T +MIEARS M IY0 - IH1 R Z +MIECZKOWSKI M IY0 CH - K AO1 F S - K IY0 +MIECZYSLAW M IY1 - CH IH0 S - L AO2 +MIEDEMA M IY0 - D EH1 - M AH0 +MIELCAREK M IY0 L - K AA1 - R EH0 K +MIELE M IY1 L +MIELKE M IY1 L - K IY0 +MIEN M IY1 N +MIENO M IY1 - N OW0 +MIER M AY1 - ER0 +MIERA M IY1 - R AH0 +MIERAS M IH0 - R AA1 Z +MIERS M AY1 - ER0 Z +MIERT M AY1 - ER0 T +MIERZEJEWSKI M IH0 R - Z EY0 - EH1 F S - K IY0 +MIERZWA M IY1 R - Z W AH0 +MIES M AY1 Z +MIESKE M AY1 S - K IY0 +MIESNER M IY1 Z - N ER0 +MIESSE M IY1 S +MIFFED M IH1 F T +MIFFLIN M IH1 F - L IH0 N +MIFSUD M IH1 F - S AH0 D +MIG M IH1 G +MIGDAL M IH1 G - D AH0 L +MIGENT M IH1 - JH AH0 N T +MIGGINS M IH1 - G IH0 N Z +MIGHT M AY1 T +MIGHT'VE M AY1 - T AH0 V +MIGHT-HAVE-BEEN M AY1 - T AH0 V - B IH2 N +MIGHT-HAVE-BEENS M AY1 - T AH0 V - B IH2 N Z +MIGHTIER M AY1 - T IY0 - ER0 +MIGHTIEST M AY1 - T IY0 - AH0 S T +MIGHTILY M AY1 - T AH0 - L IY0 +MIGHTN'T M AY1 - T AH0 N T +MIGHTY M AY1 - T IY0 +MIGLIACCIO M IY0 G - L IY0 - AA1 - CH IY0 - OW0 +MIGLIORE M IY0 G - L IY0 - AO1 - R IY0 +MIGNANELLI M IH0 G - N AH0 - N EH1 - L IY0 +MIGNANO M IY0 G - N AA1 - N OW0 +MIGNEAULT M IH0 G - N OW1 +MIGNOGNA M IY0 G - N OW1 G - N AH0 +MIGNON M IH1 G - N AH0 N +MIGNONE M IY0 G - N OW1 - N IY0 +MIGNONS M IH1 G - N AH0 N Z +MIGRA M IH1 - G R AH0 +MIGRAINE M AY1 - G R EY2 N +MIGRAINES M AY1 - G R EY2 N Z +MIGRANT M AY1 - G R AH0 N T +MIGRANTS M AY1 - G R AH0 N T S +MIGRATE M AY1 - G R EY2 T +MIGRATED M AY1 - G R EY2 - T IH0 D +MIGRATING M AY1 - G R EY2 - T IH0 NG +MIGRATION M AY0 - G R EY1 - SH AH0 N +MIGRATIONS M AY0 - G R EY1 - SH AH0 N Z +MIGRATORY M AY1 - G R AH0 - T AO2 - R IY0 +MIGS M IH1 G Z +MIGUEL M IH0 - G EH1 L +MIGUES M IY1 - G EH0 S +MIGUEZ M IY0 - G EH1 Z +MIHAI M IY2 - HH AY1 +MIHAI'S M IY2 - HH AY1 Z +MIHAL M AY1 - HH AH0 L +MIHALEK M IH1 - HH AH0 - L EH0 K +MIHALIC M IH0 - HH AE1 - L IH0 K +MIHALIK M IH1 - HH AH0 - L IH0 K +MIHALKO M IH0 - HH AE1 L - K OW0 +MIHALY M IH1 - HH AH0 - L IY0 +MIHELICH M IH1 - HH IH0 - L IH0 K +MIHM M IH1 M +MIHN M IH1 N +MIHN'S M IH1 N Z +MIHOK M IH1 - HH AH0 K +MIJARES M IY0 - Y AA1 - R EH0 S +MIKA M IY1 - K AH0 +MIKADO M IH0 - K AA1 - D OW0 +MIKAEL M AH0 - K EY1 L +MIKAELA M IY0 - K EY1 - L AH0 +MIKAKO M IY0 - K AA1 - K OW0 +MIKAL M IY1 - K AH0 L +MIKE M AY1 K +MIKE'S M AY1 K S +MIKEL M IH1 - K AH0 L +MIKELL M IH1 - K AH0 L +MIKELS M IH1 - K AH0 L Z +MIKELSON M IH1 - K IH0 L - S AH0 N +MIKES M AY1 K S +MIKESELL M IH1 - K IH0 - S AH0 L +MIKESH M IH1 - K IH0 SH +MIKESKA M IH0 - K EH1 - S K AH0 +MIKEY M AY1 - K IY0 +MIKHAIL M IH0 - K EY1 L +MIKHAIL(2) M IH0 - K AY1 L +MIKIDU M IH0 - K IY1 - D UW0 +MIKITA M IH0 - K IY1 - T AH0 +MIKKELSEN M IH0 - K EH1 L - S AH0 N +MIKKELSON M IH1 - K IH0 L - S AH0 N +MIKKOLA M IH0 - K OW1 - L AH0 +MIKLAS M AY1 - K L AH0 Z +MIKLES M AY1 - K AH0 L Z +MIKLOS M IY1 - K L OW0 S +MIKO M AY1 - K OW0 +MIKOL M IH1 - K AO0 L +MIKOLAJCZAK M IH0 - K AA1 - L AY0 - CH AE0 K +MIKOLAJCZYK M IH0 - K AA1 - L AY0 - CH IH0 K +MIKOS M AY1 - K OW0 Z +MIKRUT M IH1 - K R AH0 T +MIKSCH M IH1 K SH +MIKULA M IH0 - K UW1 - L AH0 +MIKULAK M IH0 - K UW1 - L AH0 K +MIKULEC M IH0 - K UW1 - L IH0 K +MIKULIC M IH0 - K UW1 - L IH0 K +MIKULICH M IH0 - K Y UW1 - L IH0 HH +MIKULSKI M IH0 - K AH1 L - S K IY0 +MIKUS M AY1 - K AH0 S +MIKVA M IH1 K - V AH0 +MIL M IH1 L +MILACRON M IH1 - L AH0 - K R AA0 N +MILACRON'S M IH1 - L AH0 - K R AA0 N Z +MILADIC M IH0 - L AA1 - D IH0 K +MILAGRO M IH0 - L AE1 - G R OW0 +MILAM M IH1 - L AH0 M +MILAN M AH0 - L AA1 N +MILAN'S M IH0 - L AA1 N Z +MILAN(2) M IH0 - L AA1 N +MILAN(3) M AY1 - L AE2 N +MILANI M IY0 - L AA1 - N IY0 +MILANO M IY0 - L AA1 - N OW0 +MILANOWSKI M IH0 - L AH0 - N AO1 F S - K IY0 +MILARDO M IY0 - L AA1 R - D OW0 +MILAS M AY1 - L AH0 Z +MILAZZO M IY0 - L AA1 - Z OW0 +MILBANK M IH1 L - B AE2 NG K +MILBAUER M IH1 L - B AW0 - ER0 +MILBERG M IH1 L - B ER0 G +MILBERGER M IH1 L - B ER0 - G ER0 +MILBOURN M IH0 L - B UH1 R N +MILBOURNE M IH0 L - B UH1 R N +MILBRANDT M IH1 L - B R AH0 N T +MILBRATH M IH1 L - B R AH0 TH +MILBURN M IH1 L - B ER2 N +MILBY M IH1 L - B IY0 +MILCH M IH1 L CH +MILCO M IH1 L - K OW0 +MILD M AY1 L D +MILDENBERGER M AY1 L - D AH0 N - B ER0 - G ER0 +MILDER M AY1 L - D ER0 +MILDEST M AY1 L - D AH0 S T +MILDEW M IH1 L - D UW2 +MILDEWS M IH1 L - D UW2 Z +MILDLY M AY1 L D - L IY0 +MILDRED M IH1 L - D R IH0 D +MILDRID M IH1 L - D ER0 - IH0 D +MILE M AY1 L +MILEAGE M AY1 - L AH0 JH +MILEAGE(2) M AY1 - L IH0 JH +MILEHAM M IH1 - L IH0 - HH AE0 M +MILEM M IH1 - L AH0 M +MILER M AY1 - L ER0 +MILES M AY1 L Z +MILES(2) M AY1 - AH0 L Z +MILESKI M IH0 - L EH1 S - K IY0 +MILESTONE M AY1 L - S T OW2 N +MILESTONES M AY1 L - S T OW2 N Z +MILETICH M IH1 - L IH0 - T IH0 K +MILEWSKI M IH0 - L EH1 F S - K IY0 +MILEY M AY1 - L IY0 +MILFORD M IH1 L - F ER0 D +MILGRAM M IH1 L - G R AE2 M +MILHAM M IH1 L - HH AH0 M +MILHOAN M IH1 L - HH OW0 N +MILHOLLAND M IH1 L - HH AH0 - L AH0 N D +MILHOLLIN M IH0 L - HH AA1 - L IH0 N +MILHORN M IH1 L - HH ER0 N +MILHOUS M IH1 L - HH AW2 S +MILHOUSE M IH1 L - HH AW2 S +MILIAN M IH1 - L IY0 - AH0 N +MILICENT M IH1 - L IH0 - S IH0 N T +MILICH M IH1 - L IH0 K +MILICI M IY0 - L IY1 - CH IY0 +MILIEU M IH0 - L Y UH1 +MILILITER M IH1 - L IH0 - L IY2 - T ER0 +MILISSENT M IH1 - L IH0 - S AH0 N T +MILITANCY M IH1 - L AH0 - T AH0 N - S IY0 +MILITANT M IH1 - L AH0 - T AH0 N T +MILITANTLY M IH1 - L IH0 - T AH0 N T - L IY0 +MILITANTS M IH1 - L AH0 - T AH0 N T S +MILITARIES M IH1 - L AH0 - T EH2 - R IY0 Z +MILITARILY M IH2 - L AH0 - T EH1 - R AH0 - L IY0 +MILITARISM M IH1 - L AH0 - T ER0 - IH2 - Z AH0 M +MILITARISTIC M IH2 - L IH0 - T ER0 - IH1 - S T IH0 K +MILITARISTS M IH1 - L AH0 - T ER0 - IH0 S T S +MILITARISTS(2) M IH1 - L AH0 - T ER0 - IH0 S S +MILITARISTS(3) M IH1 - L AH0 - T ER0 - IH0 S +MILITARIZE M IH1 - L AH0 - T ER0 - AY2 Z +MILITARIZED M IH1 - L AH0 - T ER0 - AY2 Z D +MILITARY M IH1 - L AH0 - T EH2 - R IY0 +MILITARY'S M IH1 - L IH0 - T EH2 - R IY0 Z +MILITARY(2) M IH1 - L IH0 - T EH2 - R IY0 +MILITATE M IH1 - L IH0 - T EY2 T +MILITELLO M IY0 - L IY0 - T EH1 - L OW0 +MILITIA M AH0 - L IH1 - SH AH0 +MILITIA'S M AH0 - L IH1 - SH AH0 Z +MILITIA'S(2) M IH0 - L IH1 - SH AH0 Z +MILITIA(2) M IH0 - L IH1 - SH AH0 +MILITIAMEN M AH0 - L IH1 - SH AH0 - M IH0 N +MILITIAS M AH0 - L IH1 - SH AH0 Z +MILITIAS(2) M IH0 - L IH1 - SH AH0 Z +MILITO M IY0 - L IY1 - T OW0 +MILIUS M AY1 - L IY0 - IH0 S +MILK M IH1 L K +MILKE M IH1 L K +MILKED M IH1 L K T +MILKEN M IH1 L - K AH0 N +MILKEN'S M IH1 L - K AH0 N Z +MILKENS M IH1 L - K AH0 N Z +MILKENS' M IH1 L - K AH0 N Z +MILKING M IH1 L - K IH0 NG +MILKMAN M IH1 L K - M AE2 N +MILKO M IH1 L - K OW0 +MILKOVICH M IH1 L - K AH0 - V IH0 CH +MILKOWSKI M IH0 L - K AO1 F S - K IY0 +MILKS M IH1 L K S +MILKSHAKE M IH1 L K - SH EY2 K +MILKWEED M IH1 L K - W IY2 D +MILKY M IH1 L - K IY0 +MILL M IH1 L +MILL'S M IH1 L Z +MILLAGE M IH1 - L IH0 JH +MILLAN M IH1 - L AH0 N +MILLAR M IH1 - L ER0 +MILLARD M IH1 - L ER0 D +MILLARD'S M IH1 - L ER0 D Z +MILLAU M IH1 - L AW0 +MILLAY M IH0 - L EY1 +MILLBANK M IH1 L - B AE2 NG K +MILLBURN M IH1 L - B ER0 N +MILLE M IH1 L +MILLED M IH1 L D +MILLEDGE M IH1 - L IH0 JH +MILLEN M IH1 - L AH0 N +MILLENDER M IH1 - L EH0 N - D ER0 +MILLENNIA M AH0 - L EH1 - N IY0 - AH0 +MILLENNIAL M IH0 - L EH1 - N IY0 - AH0 L +MILLENNIUM M AH0 - L EH1 - N IY0 - AH0 M +MILLENNIUMS M AH0 - L EH1 - N IY0 - AH0 M Z +MILLER M IH1 - L ER0 +MILLER'S M IH1 - L ER0 Z +MILLERBROOK M IH1 - L ER0 - B R UH2 K +MILLERICK M IH1 - L ER0 - IH0 K +MILLERS M IH1 - L ER0 Z +MILLESON M IH1 - L IH0 - S AH0 N +MILLET M IH1 - L AH0 T +MILLETS M IH1 - L AH0 T S +MILLETT M IH1 - L IH0 T +MILLETTE M IH0 - L EH1 T +MILLEY M IH1 - L IY0 +MILLHOUSE M IH1 L - HH AW2 S +MILLI M IH1 - L IY0 +MILLIBAR M IH1 - L AH0 - B AA2 R +MILLICAN M IH1 - L IH0 - K AH0 N +MILLICENT M IH1 - L IH0 - S IH0 N T +MILLICOM M IH1 - L IH0 - K AA0 M +MILLICOM'S M IH1 - L IH0 - K AA0 M Z +MILLIE M IH1 - L IY0 +MILLIET M IH1 - L IY0 - EH2 T +MILLIGAL M IH1 - L IH0 - G AH0 L +MILLIGAN M IH1 - L IH0 - G AH0 N +MILLIGAUSS M IH1 - L IY0 - G AW2 S +MILLIGRAM M IH1 - L AH0 - G R AE2 M +MILLIGRAMS M IH1 - L AH0 - G R AE2 M Z +MILLIKAN M IH1 - L AH0 - K AH0 N +MILLIKEN M IH1 - L IH0 - K AH0 N +MILLIKIN M IH1 - L IH0 - K IH0 N +MILLILITER M IH1 - L AH0 - L IY2 - T ER0 +MILLILITERS M IH1 - L AH0 - L IY2 - T ER0 Z +MILLIMAN M IH1 - L IH0 - M AH0 N +MILLIMETER M IH1 - L AH0 - M IY2 - T ER0 +MILLIMETERS M IH1 - L AH0 - M IY2 - T ER0 Z +MILLIN M IH1 - L AH0 N +MILLINER M IH1 - L IH0 - N ER0 +MILLING M IH1 - L IH0 NG +MILLINGTON M IH1 - L IH0 NG - T AH0 N +MILLION M IH1 - L Y AH0 N +MILLIONAIRE M IH2 - L Y AH0 - N EH1 R +MILLIONAIRE'S M IH2 - L Y AH0 - N EH1 R Z +MILLIONAIRES M IH2 - L Y AH0 - N EH1 R Z +MILLIONS M IH1 - L Y AH0 N Z +MILLIONTH M IH1 - L Y AH0 N TH +MILLIONTHS M IH1 L - Y AH0 N T TH S +MILLIPORE M IH1 - L IH0 - P AO2 R +MILLIRON M IH1 - L ER0 - AH0 N +MILLIRONS M IH1 - L ER0 - OW0 N Z +MILLIS M IH1 - L IH0 S +MILLISECOND M IH1 - L IH0 - S EH2 - K AH0 N D +MILLISECONDS M IH1 - L IH0 - S EH2 - K AH0 N D Z +MILLISENT M IH1 - L AH0 - S AH0 N T +MILLMAN M IH1 L - M AH0 N +MILLN M IH1 L N +MILLNER M IH1 L - N ER0 +MILLON M IH1 - L AH0 N +MILLOY M IH1 - L OY0 +MILLS M IH1 L Z +MILLS' M IH1 L Z +MILLS'S M IH1 L - Z IH0 Z +MILLSAP M IH1 L - S AE2 P +MILLSAPS M IH1 L - S AE2 P S +MILLSPAUGH M IH1 L - S P AO0 +MILLSTEIN M IH1 L - S T AY2 N +MILLSTEIN(2) M IH1 L - S T IY2 N +MILLSTONE M IH1 L - S T OW2 N +MILLWARD M IH1 L - W ER0 D +MILLWOOD M IH1 L - W UH2 D +MILLY M IH1 - L IY0 +MILMAN M IH1 L - M AH0 N +MILNE M IH1 L N +MILNER M IH1 L - N ER0 +MILNES M IH1 L N Z +MILO M AY1 - L OW0 +MILODIC M IH0 - L OW1 - D IH0 K +MILONAS M IY0 - L OW1 - N AA0 Z +MILONE M IH0 - L OW1 N +MILOS M IY1 - L OW0 Z +MILOSEVIC M IH0 - L OW1 - S AH0 - V IH0 K +MILOSEVIC'S M IH0 - L OW1 - S AH0 - V IH0 - CH IH0 Z +MILOSEVIC(2) M IH0 - L OW1 - S AH0 - V IH0 CH +MILOSEVICH M IH0 - L AA1 - S IH0 - V IH0 CH +MILOSH M IH0 - L AO1 SH +MILOT M IH1 - L AH0 T +MILPITAS M IH0 L - P IY1 - T AH0 S +MILROY M IH1 L - R OY2 +MILS M IH1 L Z +MILSAP M IH1 L - S AE2 P +MILSON M IH1 L - S AH0 N +MILSTEAD M IH1 L - S T EH2 D +MILSTEIN M IH1 L - S T AY2 N +MILSTEIN(2) M IH1 L - S T IY2 N +MILT M IH1 L T +MILTENBERGER M IH1 L - T AH0 N - B ER0 - G ER0 +MILTIE M IH1 - T IY0 +MILTNER M IH1 L T - N ER0 +MILTON M IH1 L - T AH0 N +MILTONIC M IH0 L - T AA1 - N IH0 K +MILUM M IH1 - L AH0 M +MILUNOVICH M IH0 - L UW1 - N AH0 - V IH0 CH +MILWARD M IH1 L - W ER0 D +MILWAUKEE M IH0 L - W AO1 - K IY0 +MILWAUKEE'S M IH0 L - W AO1 - K IY0 Z +MILZ M IH1 L Z +MIM M IH1 M +MIMBS M IH1 M Z +MIME M AY1 M +MIMEOGRAPH M IH1 - M IY0 - AH0 - G R AE2 F +MIMI M IY1 - M IY0 +MIMI'S M IY1 - M IY0 Z +MIMIC M IH1 - M IH0 K +MIMICKED M IH1 - M IH0 K T +MIMICKING M IH1 - M IH0 - K IH0 NG +MIMICRY M IH1 - M IH0 - K R IY0 +MIMICS M IH1 - M IH0 K S +MIMIS M IY1 - M IY0 Z +MIMMS M IH1 M Z +MIMNAUGH M IH1 M - N AW0 +MIMOSA M IH0 - M OW1 - S AH0 +MIMS M IH1 M Z +MIN M IH1 N +MINA M IY1 - N AH0 +MINA(2) M IH1 - N AH0 +MINAHAN M IH1 - N AH0 - HH AE0 N +MINAMI M IY0 - N AA1 - M IY0 +MINAMIDE M IH2 - N AH0 - M IY1 - D EY0 +MINAR M AY1 - N ER0 +MINARD M IH0 - N AA1 R D +MINARDOS M IH0 - N AA1 R - D OW0 S +MINARET M IH2 - N ER0 - EH1 T +MINARETS M IH2 - N ER0 - EH1 T S +MINARIK M IH1 - N ER0 - IH0 K +MINAS M IY1 - N AH0 S +MINASIAN M IH0 - N AE1 - ZH IH0 N +MINASIAN(2) M IH0 - N EY1 - ZH IH0 N +MINASSIAN M IH0 - N AE1 - S ZH IH0 N +MINATOME M IH1 - N AH0 - T OW2 M +MINC M IH1 NG K +MINCE M IH1 N S +MINCED M IH1 N S T +MINCEMEAT M IH1 N S - M IY2 T +MINCER M IH1 N - S ER0 +MINCEY M IH1 N - S IY0 +MINCH M IH1 N CH +MINCHER M IH1 N - CH ER0 +MINCHEW M IH1 N - CH Y UW0 +MINCHEY M IH1 N - CH IY0 +MINCHIN M IH1 N - CH IH0 N +MINCING M IH1 N - S IH0 NG +MINCKLER M IH1 NG - K L ER0 +MINCKS M IH1 NG K S +MINCY M IH1 N - S IY0 +MIND M AY1 N D +MIND'S M AY1 N D Z +MINDA M IH1 N - D AH0 +MINDANAO M IH2 N - D AH0 - N AW1 +MINDANAO(2) M IH2 N - D AH0 - N EY1 - OW0 +MINDBOGGLING M AY1 N D - B AO2 - G L IH0 NG +MINDED M AY1 N - D AH0 D +MINDED(2) M AY1 N - D IH0 D +MINDEDLY M AY1 N - D IH0 D - L IY0 +MINDEDNESS M AY1 N - D IH0 D - N AH0 S +MINDEL M IH1 N - D AH0 L +MINDEN M AY1 N - D AH0 N +MINDER M AY1 N - D ER0 +MINDFUL M AY1 N D - F AH0 L +MINDING M AY1 N - D IH0 NG +MINDLESS M AY1 N D - L AH0 S +MINDLESSLY M AY1 N D - L AH0 S - L IY0 +MINDLIN M IH1 N D - L IH0 N +MINDS M AY1 N D Z +MINDSET M AY1 N D - S EH2 T +MINDY M IH1 N - D IY0 +MINE M AY1 N +MINE'S M AY1 N Z +MINEA M IH0 - N IY1 - AH0 +MINEAR M IH0 - N IH1 R +MINEAU M IH0 - N OW1 +MINEBEA M IH2 - N AH0 - B IY1 - AH0 +MINED M AY1 N D +MINEER M AY1 - N ER0 +MINEFIELD M AY1 N - F IY2 L D +MINEFIELDS M AY1 N - F IY2 L D Z +MINEHAN M IH1 - N IH0 - HH AE0 N +MINEHART M AY1 N - HH AA2 R T +MINELLA M IH0 - N EH1 - L AH0 +MINELLI M IH0 - N EH1 - L IY0 +MINEO M IH1 - N IY0 - OW0 +MINEOLA M IH2 - N IY0 - OW1 - L AH0 +MINEOWNER M AY1 - N OW2 - N ER0 +MINEOWNERS M AY1 - N OW2 - N ER0 Z +MINER M AY1 - N ER0 +MINER'S M AY1 - N ER0 Z +MINERA M IH0 - N EH1 - R AH0 +MINERAL M IH1 - N ER0 - AH0 L +MINERAL'S M IH1 - N ER0 - AH0 L Z +MINERAL'S(2) M IH1 N - R AH0 L Z +MINERAL(2) M IH1 N - R AH0 L +MINERALIZATION M IH2 - N ER0 - AH0 - L AH0 - Z EY1 - SH AH0 N +MINERALIZE M IH1 - N ER0 - AH0 - L AY2 Z +MINERALOGICALLY M IH2 - N ER0 - AH0 - L AA1 - JH IH0 - K AH0 - L IY0 +MINERALOGICALLY(2) M IH2 - N ER0 - AH0 - L AA1 - JH IH0 K - L IY0 +MINERALOGIST M IH2 - N ER0 - AE1 - L AH0 - JH IH0 S T +MINERALOGIST(2) M IH2 - N ER0 - AA1 - L AH0 - JH IH0 S T +MINERALOGY M IH2 - N ER0 - AA1 - L AH0 - JH IY0 +MINERALS M IH1 - N ER0 - AH0 L Z +MINERALS' M IH1 - N ER0 - AH0 L Z +MINERALS'(2) M IH1 N - R AH0 L Z +MINERALS(2) M IH1 N - R AH0 L Z +MINERD M IH1 - N ER0 D +MINERS M AY1 - N ER0 Z +MINERS' M AY1 - N ER0 Z +MINERVA M AH0 - N ER1 - V AH0 +MINERVA(2) M IH0 - N ER1 - V AH0 +MINERVINI M IY2 - N ER0 - V IY1 - N IY0 +MINES M AY1 N Z +MINES' M AY1 N Z +MINESWEEPER M AY1 N - S W IY2 - P ER0 +MINESWEEPERS M AY1 N - S W IY2 - P ER0 Z +MINET M IH1 - N IH0 T +MINET(2) M AY1 - N AH0 T +MINETA M IH0 - N EY1 - T AH0 +MINETTE M IH0 - N EH1 T +MINEWORKER M AY1 N - W ER2 - K ER0 +MINEWORKERS M AY1 N - W ER2 - K ER0 Z +MING M IH1 NG +MING-JEN M IH1 NG - JH EH1 N +MINGE M IH1 N JH +MINGER M IH1 - NG ER0 +MINGES M IH1 N - JH IH0 Z +MINGLE M IH1 NG - G AH0 L +MINGLED M IH1 NG - G AH0 L D +MINGLES M IH1 NG - G AH0 L Z +MINGLING M IH1 NG - G AH0 L - IH0 NG +MINGLING(2) M IH1 NG - G L IH0 NG +MINGO M IY1 NG - G OW0 +MINGS M IH1 NG Z +MINGUS M IH1 NG - G IH0 S +MINH M IH1 N +MINI M IH1 - N IY0 +MINI-COST M IH1 - N IY0 - K AO2 S T +MINIARD M IH1 N - Y ER0 D +MINIATURE M IH1 - N IY0 - AH0 - CH UH2 R +MINIATURE(2) M IH1 - N IH0 - CH UH2 R +MINIATURES M IH1 - N IY0 - AH0 - CH ER0 Z +MINIATURES(2) M IH1 - N IH0 - CH ER0 Z +MINIATURIZATION M IH2 - N IY0 - AH0 - CH ER0 - IH0 - Z EY1 - SH AH0 N +MINIATURIZE M IH1 - N IH0 - CH ER0 - AY2 Z +MINIATURIZED M IH1 - N IH0 - CH ER0 - AY2 Z D +MINIBUS M IH1 - N IY0 - B AH2 S +MINIBUSES M IH1 - N IY0 - B AH2 - S IH0 Z +MINICAR M IH1 - N IY0 - K AA2 R +MINICARS M IH1 - N IY0 - K AA1 R Z +MINICH M IH1 - N IH0 CH +MINICHIELLO M IY0 - N IY0 - K IY0 - EH1 - L OW0 +MINICK M IH1 - N IH0 K +MINICOMPUTER M IH1 - N IY0 - K AH0 M - P Y UW1 - T ER0 +MINICOMPUTERS M IH1 - N IY0 - K AH0 M - P Y UW1 - T ER0 Z +MINICUCCI M IY0 - N IY0 - K UW1 - CH IY0 +MINIDISC M IH1 - N IY0 - D IH2 S K +MINIER M IH1 - N IY0 - ER0 +MINIHAN M IH1 - N IH0 - HH AE0 N +MINILAB M IH1 - N IY0 - L AE2 B +MINILABS M IH1 - N IY0 - L AE2 B Z +MINIMAL M IH1 - N AH0 - M AH0 L +MINIMALISM M IH1 - N AH0 - M AH0 - L IH2 - Z AH0 M +MINIMALIST M IH1 - N AH0 - M AH0 - L IH0 S T +MINIMALLY M IH1 - N AH0 - M AH0 L - IY0 +MINIMILL M IH1 - N IY0 - M AA2 L +MINIMILLS M IH1 - N IY0 - M IH1 L Z +MINIMIZE M IH1 - N AH0 - M AY2 Z +MINIMIZED M IH1 - N AH0 - M AY2 Z D +MINIMIZES M IH1 - N AH0 - M AY2 - Z AH0 Z +MINIMIZING M IH1 - N AH0 - M AY2 - Z IH0 NG +MINIMUM M IH1 - N AH0 - M AH0 M +MINIMUMS M IH1 - N IH0 - M AH0 M Z +MINING M AY1 - N IH0 NG +MINING'S M AY1 - N IH0 NG Z +MININGER M AY1 - N IH0 - NG ER0 +MINION M IH1 - N Y AH0 N +MINIONS M IH1 - N Y AH0 N Z +MINIS M IH1 - N IY0 Z +MINISCRIBE M IH1 - N IY0 - S K R AY1 B +MINISCULE M IH1 - N IH0 - S K Y UW0 L +MINISERIES M IH1 - N IH0 - S EH2 - R IY0 Z +MINISERIES(2) M IH1 - N IY0 - S EH2 - R IY0 Z +MINISH M IH1 - N IH0 SH +MINISKIRT M IH1 - N IY0 - S K ER2 T +MINISKIRTS M IH1 - N IY0 - S K ER2 T S +MINISTER M IH1 - N AH0 - S T ER0 +MINISTER'S M IH1 - N IH0 - S T ER0 Z +MINISTER(2) M IH1 - N IH0 - S T ER0 +MINISTERIAL M IH2 - N IH0 - S T IY1 - R IY0 - AH0 L +MINISTERING M IH1 - N IH0 - S T R IH0 NG +MINISTERS M IH1 - N AH0 - S T ER0 Z +MINISTERS' M IH1 - N IH0 - S T ER0 Z +MINISTERS(2) M IH1 - N IH0 - S T ER0 Z +MINISTERSHIP M IH1 - N IH0 - S T ER0 - SH IH0 P +MINISTRATION M IH2 - N AH0 S - T R EY1 - SH AH0 N +MINISTRATIONS M IH2 - N AH0 S - T R EY1 - SH AH0 N Z +MINISTRIES M IH1 - N IH0 - S T R IY0 Z +MINISTRY M IH1 - N AH0 S - T R IY0 +MINISTRY'S M IH1 - N AH0 S - T R IY0 Z +MINISTRY(2) M IH1 - N IH0 - S T R IY0 +MINISUPERCOMPUTER M IH2 - N IY0 - S UW1 - P ER0 - K AH2 M - P Y UW2 - T ER0 +MINISUPERCOMPUTERS M IH2 - N IY0 - S UW1 - P ER0 - K AH2 M - P Y UW2 - T ER0 Z +MINIT M IH1 - N IH0 T +MINITEL M IH1 - N AH0 - T EH2 L +MINIUM M IH1 - N IY0 - AH0 M +MINIVAN M IH1 - N IY0 - V AE1 N +MINIVANS M IH1 - N IY0 - V AE1 N Z +MINIX M IH1 - N IH0 K S +MINJARES M IY0 N - Y AA1 - R EH0 S +MINJAREZ M IY0 - N Y AA1 - R EH0 Z +MINK M IH1 NG K +MINKE M IH1 NG K +MINKEL M IH1 NG - K AH0 L +MINKIN M IH1 NG - K IH0 N +MINKLER M IH1 NG - K L ER0 +MINKOFF M IH1 NG - K AO2 F +MINKOW M IH1 NG - K AW0 +MINKS M IH1 NG K S +MINNA M IH1 - N AH0 +MINNAAR M IH0 - N AA1 R +MINNEAPOLIS M IH2 - N IY0 - AE1 - P AH0 - L IH0 S +MINNEAPOLIS'S M IH2 - N IY0 - AE1 - P AH0 - L IH0 - S IH0 Z +MINNELLI M IH0 - N EH1 - L IY0 +MINNER M IH1 - N ER0 +MINNESOTA M IH2 - N IH0 - S OW1 - T AH0 +MINNESOTA'S M IH2 - N AH0 - S OW1 - T AH0 Z +MINNESOTAN M IH2 - N AH0 - S OW1 - T AH0 N +MINNESOTANS M IH2 - N AH0 - S OW1 - T AH0 N Z +MINNETONKA M IH2 - N IH0 - T AO1 NG - K AH0 +MINNEY M IH1 - N IY0 +MINNICH M IH1 - N IH0 CH +MINNICK M IH1 - N IH0 K +MINNIE M IH1 - N IY0 +MINNIE'S M IH1 - N IY0 Z +MINNIEAR M IH1 - N IY0 - IH2 R +MINNIFIELD M IH1 - N AH0 - F IY2 L D +MINNIG M IH1 - N IH0 G +MINNIS M IH1 - N IH0 S +MINNITI M IY0 - N IY1 - T IY0 +MINNIX M IH1 - N IH0 K S +MINNOW M IH1 - N OW0 +MINNOWS M IH1 - N OW0 Z +MINNS M IH1 N Z +MINNTECH M IH1 N - T EH2 K +MINNY M IH1 - N IY0 +MINO M IY1 - N OW0 +MINOAN M AH0 - N OW1 - AH0 N +MINOGUE M IY1 - N AO0 G +MINOGUE(2) M AH0 - N OW1 - G IY0 +MINOLI M IH0 - N OW1 - L IY0 +MINOLTA M IH0 - N AA1 L - T AH2 +MINOLTA(2) M IH0 - N OW1 L - T AH0 +MINOR M AY1 - N ER0 +MINORCA M AH0 - N AO1 R - K AH0 +MINORCO M IH0 - N AO1 R - K OW0 +MINORCO'S M IH0 - N AO1 R - K AH0 Z +MINORED M AY1 - N ER0 D +MINORING M AY1 - N ER0 - IH0 NG +MINORITE M IH1 - N ER0 - AY2 T +MINORITIES M AY0 - N AO1 - R AH0 - T IY0 Z +MINORITIES(2) M AH0 - N AO1 - R AH0 - T IY0 Z +MINORITY M AY0 - N AO1 - R AH0 - T IY0 +MINORITY(2) M AH0 - N AO1 - R AH0 - T IY0 +MINORS M AY1 - N ER0 Z +MINORU M IH0 - N AO1 - R UW0 +MINOT M IH1 - N AH0 T +MINOTT M IH1 - N AH0 T +MINOTTI M IH0 - N AO1 - T IY0 +MINOW M IH1 - N OW0 +MINOXIDIL M IH0 - N AA1 K - S IH0 - D IH0 L +MINPECO M IH0 N - P EH1 - K OW0 +MINSHALL M IH1 N - SH AH0 L +MINSHEW M IH1 N - SH UW0 +MINSK M IH1 N S K +MINSKOFF M IH1 N - S K AO0 F +MINSKY M IH1 N - S K IY0 +MINSON M IH1 N - S AH0 N +MINSTAR M IH1 N - S T AA2 R +MINSTAR'S M IH1 N - S T AA2 R Z +MINSTER M IH1 N - S T ER0 +MINSTREL M IH1 N - S T R AH0 L +MINSTRELS M IH1 N - S T R AH0 L Z +MINT M IH1 N T +MINT'S M IH1 N T S +MINTA M IH1 N - T AH0 +MINTAGE M IH1 N - T AH0 JH +MINTAGE(2) M IH1 N - T IH0 JH +MINTED M IH1 N - T IH0 D +MINTEER M IH1 N - T IH1 R +MINTER M IH1 N - T ER0 +MINTHA M IH1 N - TH AH0 +MINTIER M IH1 N - T IY0 - ER0 +MINTING M IH1 N - T IH0 NG +MINTO M IH1 N - T OW0 +MINTON M IH1 N - T AH0 N +MINTS M IH1 N T S +MINTURN M IH1 N - T ER2 N +MINTZ M IH1 N T S +MINTZER M IH1 N T - Z ER0 +MINUET M IH2 - N Y AH0 W - EH1 T +MINUS M AY1 - N AH0 S +MINUSCULE M IH1 - N AH0 - S K Y UW2 L +MINUSES M AY1 - N AH0 - S IH0 Z +MINUTE M IH1 - N AH0 T +MINUTE'S M IH1 - N AH0 T S +MINUTE(2) M AY0 - N UW1 T +MINUTE(3) M AY0 - N Y UW1 T +MINUTELY M IH1 - N AH0 T - L IY0 +MINUTEMAN M IH1 - N AH0 T - M AE2 N +MINUTEMEN M IH1 - N AH0 T - M EH2 N +MINUTES M IH1 - N AH0 T S +MINUTES' M IH1 - N AH0 T S +MINUTIA M IH0 - N UW1 - SH IY0 - AH0 +MINUTIAE M IH0 - N UW1 - SH IY0 - AH0 +MINYARD M IH1 N - Y AA0 R D +MIOCENE M AY1 - AH0 - S IY2 N +MION M AY1 - AH0 N +MIONE M AY2 - OW1 N +MIOT M AY1 - AH0 T +MIOTKE M AY2 - AA1 T - K IY0 +MIOTKE(2) M Y AA1 T - K IY0 +MIPS M IH1 P S +MIR M IH1 R +MIRA M IH1 - R AH0 +MIRABAL M IH1 - R AH0 - B AH0 L +MIRABEL M IH0 - R AA0 - B EH1 L +MIRABELLA M IH0 - R AA0 - B EH1 - L AH0 +MIRABELLE M AO1 - R AH0 - B AH0 L +MIRABELLI M IH0 - R AA0 - B EH1 - L IY0 +MIRABILE M IH0 - R AA1 - B AH0 L +MIRABITO M IH0 - R AA0 - B IY1 - T OW0 +MIRACID M IH2 - R AE1 - S AH0 D +MIRACID'S M IH2 - R AE1 - S AH0 D Z +MIRACLE M IH1 - R AH0 - K AH0 L +MIRACLES M IH1 - R AH0 - K AH0 L Z +MIRACULOUS M ER0 - AE1 - K Y AH0 - L AH0 S +MIRACULOUSLY M ER0 - AE1 - K Y AH0 - L AH0 S - L IY0 +MIRAD M AH0 - R AE1 D +MIRADA M IH0 - R AA1 - D AH0 +MIRAGE M ER0 - AA1 ZH +MIRAGES M ER0 - AA1 - ZH AH0 Z +MIRAGLIA M IH0 - R AE1 - G L IY0 - AH0 +MIRAK M IH1 - R AE0 K +MIRAMAR M IH1 - R AH0 - M AA2 R +MIRAMAX M IH1 - R AH0 - M AE2 K S +MIRAMAX'S M IH1 - R AH0 - M AE2 K - S IH0 Z +MIRAMONTES M IH0 - R AA0 - M OW1 N - T EH0 S +MIRANDA M ER0 - AE1 N - D AH0 +MIRANDA'S M ER0 - AE1 N - D AH0 Z +MIRANDO M IH0 - R AE1 N D - OW0 +MIRATEC M IH1 - R AH0 - T EH2 K +MIRE M AY1 R +MIRE(2) M AY1 - ER0 +MIRED M AY1 R D +MIRELES M IH0 - R EY1 - L EH0 S +MIRELEZ M IH0 - R EY1 - L EH0 Z +MIRELL M IH0 - R EH1 L +MIRELLA M IH0 - R EH1 - L AH0 +MIRELLE M ER0 - EH1 L +MIRENDA M IH0 - R EH1 N - D AH0 +MIRES M AY1 R Z +MIRIAM M IH1 - R IY0 - AH0 M +MIRICK M IH1 - R IH0 K +MIRILLA M IH0 - R IH1 - L AH0 +MIRKIN M ER1 - K IH0 N +MIRNA M ER1 - N AH0 +MIRO M IH1 - R OW0 +MIRO'S M IH1 - R OW0 Z +MIRO'S(2) M IH0 - R OW1 Z +MIRO(2) M IH0 - R OW1 +MIRON M IH0 - R AO1 N +MIRONENKO M IH2 - R OW0 - N EH1 NG - K OW0 +MIROSLAV M IH1 - R AH0 - S L AA0 V +MIRRA M IH1 - R AH0 +MIRREN M IH1 - R AH0 N +MIRROR M IH1 - R ER0 +MIRROR'S M IH1 - R ER0 Z +MIRRORED M IH1 - R ER0 D +MIRRORING M IH1 - R ER0 - IH0 NG +MIRRORS M IH1 - R ER0 Z +MIRSAD M IH1 R - S AE2 D +MIRSKY M ER1 S - K IY0 +MIRTH M ER1 TH +MIRTI M ER1 - T IY0 +MIRTI(2) M ER1 - T IY2 +MIRTLE M ER1 - T AH0 L +MIRTO M IH1 R - T OW0 +MIRV M ER1 V +MIRZA M ER1 - Z AH0 +MIS M IH1 S +MISA M IY1 - Z AH0 +MISA'S M IY1 - Z AH0 Z +MISADVENTURE M IH0 S - AH0 D - V EH1 N - CH ER0 +MISADVENTURES M IH0 S - AH0 D - V EH1 N - CH ER0 Z +MISALLOCATE M IH0 S - AE1 - L AH0 - K EY2 T +MISALLOCATED M IH0 S - AE1 - L AH0 - K EY2 - T IH0 D +MISALLOCATION M IH0 S - AE2 - L AH0 - K EY1 - SH AH0 N +MISANTHROPE M IH1 - S AH0 N - TH R OW2 P +MISAPPLICATION M IH0 S - AE2 - P L AH0 - K EY1 - SH AH0 N +MISAPPLIED M IH2 S - AH0 - P L AY1 D +MISAPPLY M IH0 S - AH0 - P L AY1 +MISAPPLYING M IH0 S - AH0 - P L AY1 - IH0 NG +MISAPPREHENSION M IH0 S - AE2 - P R IY0 - HH EH1 N - SH AH0 N +MISAPPROPRIATE M IH0 S - AH0 - P R OW1 - P R IY0 - EY2 T +MISAPPROPRIATED M IH2 S - AH0 - P R OW1 - P R IY0 - EY2 - T IH0 D +MISAPPROPRIATING M IH2 S - AH0 - P R OW1 - P R IY0 - EY2 - T IH0 NG +MISAPPROPRIATION M IH2 S - AH0 - P R OW2 - P R IY0 - EY1 - SH AH0 N +MISATER M IH0 S - EY1 - T ER0 +MISAWA M IH0 - S AA1 - W AH0 +MISBEGOTTEN M IH2 S - B AH0 - G AA1 - T AH0 N +MISBEHAVE M IH2 S - B AH0 - HH EY1 V +MISBEHAVE(2) M IH2 S - B IY0 - HH EY1 V +MISBEHAVED M IH2 S - B AH0 - HH EY1 V D +MISBEHAVED(2) M IH2 S - B IY0 - HH EY1 V D +MISBEHAVING M IH2 S - B AH0 - HH EY1 - V IH0 NG +MISBEHAVING(2) M IH2 S - B IY0 - HH EY1 - V IH0 NG +MISBEHAVIOR M IH2 S - B AH0 - HH EY1 - V Y ER0 +MISBEHAVIOR(2) M IH2 S - B IY0 - HH EY1 - V Y ER0 +MISBRENER M IH1 S - B R EH2 - N ER0 +MISCALCULATE M IH0 S - K AE1 L - K Y AH0 - L EY2 T +MISCALCULATED M IH0 S - K AE1 L - K Y AH0 - L EY2 - T IH0 D +MISCALCULATION M IH0 S - K AE1 L - K Y AH0 - L EY1 - SH AH0 N +MISCALCULATIONS M IH0 S - K AE1 L - K Y AH0 - L EY1 - SH AH0 N Z +MISCARRIAGE M IH0 S - K EH1 - R AH0 JH +MISCARRIAGES M IH0 S - K EH1 - R IH0 - JH IH0 Z +MISCAST M IH0 S - K AE1 S T +MISCAVIGE M IH0 S - K AE1 - V IH1 JH +MISCAYUNA M IH2 S - K AY0 - Y UW1 - N AH0 +MISCAYUNA'S M IH2 S - K AY0 - Y UW1 - N AH0 Z +MISCELLANEOUS M IH2 - S AH0 - L EY1 - N IY0 - AH0 S +MISCELLANY M IH1 - S AH0 - L EY2 - N IY0 +MISCH M IH1 SH +MISCHA M IH1 - SH AH0 +MISCHARACTERIZATION M IH0 S - K AE2 - R AH0 K - T ER0 - AH0 - Z EY1 - SH AH0 N +MISCHARACTERIZE M IH0 S - K AE1 - R AH0 K - T ER0 - AY2 Z +MISCHARACTERIZED M IH0 S - K AE1 - R AH0 K - T ER0 - AY2 Z D +MISCHARGE M IH0 S - CH AA1 R JH +MISCHARGED M IH0 S - CH AA1 R JH D +MISCHARGES M IH0 S - CH AA1 R - JH IH0 Z +MISCHARGING M IH0 S - CH AA1 R - JH IH0 NG +MISCHEL M IH1 - SH AH0 L +MISCHER M IH1 - SH ER0 +MISCHIEF M IH1 S - CH AH0 F +MISCHIEVOUS M IH1 S - CH AH0 - V AH0 S +MISCHKE M IH1 SH K +MISCHLER M IH1 - SH AH0 L - ER0 +MISCHLER(2) M IH1 SH - L ER0 +MISCIBILITY M IH2 S - IH0 - B IH1 - L IH0 - T IY0 +MISCIBLE M IH1 - S AH0 - B AH0 L +MISCIBLE(2) M IH1 - S IH0 - B AH0 L +MISCOMMUNICATION M IH0 S - K AH0 - M Y UW2 - N AH0 - K EY1 - SH AH0 N +MISCONCEIVE M IH0 S - K AH0 N - S IY1 V +MISCONCEIVED M IH0 S - K AH0 N - S IY1 V D +MISCONCEPTION M IH0 S - K AH0 N - S EH1 P - SH AH0 N +MISCONCEPTIONS M IH0 S - K AH0 N - S EH1 P - SH AH0 N Z +MISCONDUCT M IH0 S - K AA1 N - D AH0 K T +MISCONSTRUE M IH0 S - K AH0 N - S T R UW1 +MISCONSTRUED M IH2 S - K AH0 N - S T R UW1 D +MISCOUNT M IH1 S - K AW1 N T +MISCREANT M IH1 S - K R IY0 - AH0 N T +MISCREANTS M IH1 S - K R IY0 - AH0 N T S +MISCREATION M IH0 S - K R IY0 - EY1 - SH AH0 N +MISCREATIONS M IH2 S - K R IY0 - EY1 - SH AH0 N Z +MISCUE M IH1 S - K Y UW2 +MISCUES M IH1 S - K Y UW2 Z +MISDEED M IH1 S - D IY1 D +MISDEEDS M IH0 S - D IY1 D Z +MISDEMEANOR M IH2 S - D AH0 - M IY1 - N ER0 +MISDEMEANORS M IH2 S - D AH0 - M IY1 - N ER0 Z +MISDIAGNOSE M IH0 S - D AY2 - IH0 G - N OW1 Z +MISDIAGNOSED M IH0 S - D AY2 - IH0 G - N OW1 Z D +MISDIAGNOSES M IH0 S - D AY2 - IH0 G - N OW1 - S IY0 Z +MISDIAGNOSES(2) M IH0 S - D AY2 - IH0 G - N OW1 - S AH0 Z +MISDIAGNOSIS M IH0 S - D AY2 - IH0 G - N OW1 - S AH0 S +MISDIRECT M IH0 S - D IH0 - R EH1 K T +MISDIRECTED M IH0 S - D IH0 - R EH1 K - T IH0 D +MISEK M IH1 - S EH0 K +MISENER M IH1 - S IY0 - N ER0 +MISENHEIMER M IH1 S - IH0 N - HH AY0 - M ER0 +MISER M AY1 - Z ER0 +MISERABLE M IH1 - Z ER0 - AH0 - B AH0 L +MISERABLE(2) M IH1 Z - R AH0 - B AH0 L +MISERABLES M IH1 - Z ER0 - AH0 - B AH0 L Z +MISERABLES(2) M IH1 Z - R AH0 - B AH0 L Z +MISERABLES(3) M IH2 - Z ER0 - AA1 B +MISERABLY M IH1 - Z ER0 - AH0 - B L IY0 +MISERABLY(2) M IH1 Z - R AH0 - B L IY0 +MISERATION M IH0 - Z ER0 - EY1 - SH AH0 N +MISERIES M IH1 - Z ER0 - IY0 Z +MISERLY M AY1 - Z ER0 - L IY0 +MISERY M IH1 - Z ER0 - IY0 +MISES M AY1 - Z IH0 Z +MISFELDT M IH1 S - F IH0 L T +MISFIRE M IH0 S - F AY1 - ER0 +MISFIT M IH1 S - F IH2 T +MISFITS M IH1 S - F IH2 T S +MISFORTUNE M IH0 S - F AO1 R - CH AH0 N +MISFORTUNES M IH0 S - F AO1 R - CH AH0 N Z +MISGIVE M IH0 S - G IH1 V +MISGIVING M IH0 S - G IH1 - V IH0 NG +MISGIVINGS M IH0 S - G IH1 - V IH0 NG Z +MISGOVERNMENT M IH0 S - G AH1 - V ER0 N - M AH0 N T +MISGUIDE M IH0 S - G AY1 D +MISGUIDED M IH0 S - G AY1 - D IH0 D +MISH M IH1 SH +MISHA M IH1 - SH AH0 +MISHANDLE M IH0 S - HH AE1 N - D AH0 L +MISHANDLED M IH0 S - HH AE1 N - D AH0 L D +MISHANDLING M IH0 S - HH AE1 N D - L IH0 NG +MISHAP M IH1 S - HH AE2 P +MISHAPS M IH1 S - HH AE2 P S +MISHAWAKA M IH2 - SH AH0 W - AO1 - K AH0 +MISHAWAUM M IH1 - SH AH0 W - AA2 M +MISHAWUM M IH1 - SH AH0 W - AH2 M +MISHEAR M IH0 S - HH IY1 R +MISHEARD M IH2 S - HH ER1 D +MISHKIN M IY1 SH - K IY0 N +MISHLER M IH1 SH - L ER0 +MISHMASH M IH1 SH - M AE2 SH +MISHOE M IY1 - SH UW0 +MISHRA M IH1 - SH R AH0 +MISIAK M IH1 - S IY0 - AE0 K +MISIASZEK M IH0 - S IY0 - AA1 - SH EH0 K +MISIDENTIFICATION M IH2 - S AY0 - D EH2 N - T IH0 - F IH0 - K EY1 - SH AH0 N +MISIDENTIFICATION(2) M IH2 - S AY0 - D EH2 - N IH0 - F IH0 - K EY1 - SH AH0 N +MISIDENTIFIED M IH0 - S AY0 - D EH1 N - T IH0 - F AY2 D +MISIDENTIFIED(2) M IH0 - S AY0 - D EH1 - N IH0 - F AY2 D +MISIDENTIFY M IH0 - S AY0 - D EH1 N - T AH0 - F AY2 +MISIDENTIFY(2) M IH0 - S AY0 - D EH1 - N AH0 - F AY2 +MISIEWICZ M IH1 S - AH0 - V IH0 CH +MISIMPRESSION M IH0 S - IH0 M - P R EH1 - SH AH0 N +MISINFORM M IH0 S - IH2 N - F AO1 R M +MISINFORMATION M IH2 S - IH0 N - F ER0 - M EY1 - SH AH0 N +MISINFORMED M IH0 S - IH0 N - F AO1 R M D +MISINFORMING M IH0 S - IH0 N - F AO1 R - M IH0 NG +MISINTERPRET M IH0 S - IH0 N - T ER1 - P R AH0 T +MISINTERPRETATION M IH0 S - IH0 N - T ER2 - P R AH0 - T EY1 - SH AH0 N +MISINTERPRETED M IH0 S - IH0 N - T ER1 - P R AH0 - T IH0 D +MISINTERPRETING M IH0 S - IH0 N - T ER1 - P R AH0 - T IH0 NG +MISJUDGE M IH0 S - JH AH1 JH +MISJUDGED M IH0 S - JH AH1 JH D +MISJUDGES M IH0 S - JH AH1 - JH IH0 Z +MISJUDGMENT M IH0 S - JH AH1 JH - M AH0 N T +MISJUDGMENTS M IH0 S - JH AH1 JH - M AH0 N T S +MISKA M IH1 S - K AH0 +MISKE M IH1 S K +MISKELL M IH1 S - K AH0 L +MISKITO M IH0 S - K IY1 - T OW0 +MISKITOS M IH0 S - K IY1 - T OW0 S +MISKO M IH1 S - K OW0 +MISLABEL M IH0 S - L EY1 - B AH0 L +MISLABELED M IH0 S - L EY1 - B AH0 L D +MISLABELING M IH0 S - L EY1 - B AH0 L - IH0 NG +MISLABELING(2) M IH0 S - L EY1 - B L IH0 NG +MISLAID M IH0 S - L EY1 D +MISLEAD M IH0 S - L IY1 D +MISLEADING M IH0 S - L IY1 - D IH0 NG +MISLEADINGLY M IH0 S - L IY1 - D IH0 NG - L IY0 +MISLEADS M IH0 S - L IY1 D Z +MISLED M IH0 S - L EH1 D +MISMANAGE M IH0 S - M AE1 - N IH0 JH +MISMANAGED M IH0 S - M AE1 - N IH0 JH D +MISMANAGEMENT M IH0 S - M AE1 - N IH0 JH - M AH0 N T +MISMANAGING M IH0 S - M AE1 - N IH0 - JH IH0 NG +MISMATCH M IH0 S - M AE1 CH +MISMATCH(2) M IH1 S - M AE2 CH +MISMATCHED M IH0 S - M AE1 CH T +MISMATCHES M IH0 S - M AE1 - CH IH0 Z +MISNER M IH1 Z - N ER0 +MISNOMER M IH0 S - N OW1 - M ER0 +MISOGYNE M IH1 - Z AH0 - JH IH0 N +MISOGYNIST M IH1 - Z AH0 - JH IH0 - N IH0 S T +MISOGYNY M IH1 - Z AH0 - JH IH0 - N IY0 +MISPERCEIVE M IH0 - S P ER0 - S IY1 V +MISPERCEIVES M IH0 - S P ER0 - S IY1 V Z +MISPERCEPTION M IH2 S - P ER0 - S EH1 P - SH AH0 N +MISPERCEPTIONS M IH0 S - P ER0 - S EH1 P - SH AH0 N Z +MISPLACE M IH0 S - P L EY1 S +MISPLACED M IH0 S - P L EY1 S T +MISPRICE M IH0 S - P R AY1 S +MISPRICED M IH0 S - P R AY1 S T +MISPRINT M IH1 S - P R IH1 N T +MISPRISION M IH0 S - P R IH1 - ZH AH0 N +MISPRONOUNCE M IH0 S - P R AH0 - N AW1 N S +MISPRONOUNCED M IH0 S - P R AH0 - N AW1 N S T +MISQUOTE M IH0 S - K W OW1 T +MISQUOTED M IH0 S - K W OW1 - T IH0 D +MISREAD M IH0 S - R IY1 D +MISREADING M IH0 S - R IY1 - D IH0 NG +MISREMEMBER M IH0 S - R IY0 - M EH1 M - B ER0 +MISREMEMBERED M IH0 S - R IY0 - M EH1 M - B ER0 D +MISREPORT M IH0 S - R IH0 - P AO1 R T +MISREPORTED M IH0 S - R IH0 - P AO1 R - T IH0 D +MISREPRESENT M IH0 S - R EH2 - P R AH0 - Z EH1 N T +MISREPRESENTATION M IH0 S - R EH2 - P R IH0 - Z EH0 N - T EY1 - SH AH0 N +MISREPRESENTATIONS M IH0 S - R EH2 - P R IH0 - Z EH0 N - T EY1 - SH AH0 N Z +MISREPRESENTED M IH2 S - R EH0 - P R IH0 - Z EH1 N - T IH0 D +MISREPRESENTED(2) M IH2 S - R EH0 - P R IH0 - Z EH1 - N IH0 D +MISREPRESENTING M IH0 S - R EH2 - P R AH0 - Z EH1 N - T IH0 NG +MISREPRESENTING(2) M IH0 S - R EH2 - P R AH0 - Z EH1 - N IH0 NG +MISREPRESENTS M IH0 S - R EH2 - P R AH0 - Z EH1 N T S +MISREPRESENTS(2) M IH0 S - R EH2 - P R AH0 - Z EH1 N S +MISRULE M IH0 S - R UW1 L +MISS M IH1 S +MISSAL M IH1 - S AH0 L +MISSED M IH1 S T +MISSEL M IH1 - S AH0 L +MISSES M IH1 - S AH0 Z +MISSES(2) M IH1 - S IH0 Z +MISSETT M IH1 - S AH0 T +MISSEY M IH1 - S IY0 +MISSHAPEN M IH0 S - SH EY1 - P AH0 N +MISSHAPEN(2) M IH0 S - HH AE1 - P AH0 N +MISSIE M IH1 - S IY0 +MISSILDINE M IH0 - S IY0 L - D IY1 - N IY0 +MISSILDINE(2) M IH0 S - IH0 L - D AY1 N +MISSILE M IH1 - S AH0 L +MISSILE'S M IH1 - S AH0 L Z +MISSILES M IH1 - S AH0 L Z +MISSILES' M IH1 - S AH0 L Z +MISSIMER M IH1 - S IH0 - M ER0 +MISSING M IH1 - S IH0 NG +MISSION M IH1 - SH AH0 N +MISSION'S M IH1 - SH AH0 N Z +MISSIONARIES M IH1 - SH AH0 N - EH2 - R IY0 Z +MISSIONARY M IH1 - SH AH0 N - EH2 - R IY0 +MISSIONS M IH1 - SH AH0 N Z +MISSISSAUGA M IH2 - S IH0 - S AO1 - G AH0 +MISSISSIPPI M IH2 - S IH0 - S IH1 - P IY0 +MISSISSIPPI'S M IH2 - S IH0 - S IH1 - P IY0 Z +MISSISSIPPIAN M IH2 - S IH0 - S IH1 - P IY0 - AH0 N +MISSISSIPPIANS M IH2 - S IH0 - S IH1 - P IY0 - AH0 N Z +MISSISSIPPIS M IH2 - S IH0 - S IH1 - P IY0 Z +MISSIVE M IH1 - S IH0 V +MISSLER M IH1 S - L ER0 +MISSOULA M IH0 - Z UW1 - L AH0 +MISSOURI M AH0 - Z UH1 - R IY0 +MISSOURI'S M AH0 - Z UH1 - R IY0 Z +MISSOURI'S(2) M AH0 - Z ER1 - AH0 Z +MISSOURI(2) M AH0 - Z ER1 - AH0 +MISSPEAK M IH0 S - S P IY1 K +MISSPEAK(2) M IH0 - S P IY1 K +MISSPELL M IH0 S - S P EH1 L +MISSPELL(2) M IH0 - S P EH1 L +MISSPELLED M IH0 S - S P EH1 L D +MISSPELLED(2) M IH0 - S P EH1 L D +MISSPELLING M IH0 S - S P EH1 - L IH0 NG +MISSPELLING(2) M IH0 - S P EH1 - L IH0 NG +MISSPEND M IH0 S - S P EH1 N D +MISSPEND(2) M IH0 - S P EH1 N D +MISSPENDING M IH0 S - S P EH1 N - D IH0 NG +MISSPENDING(2) M IH0 - S P EH1 N - D IH0 NG +MISSPENT M IH0 S - S P EH1 N T +MISSPENT(2) M IH0 - S P EH1 N T +MISSPOKE M IH0 S - S P OW1 K +MISSPOKE(2) M IH0 - S P OW1 K +MISSPOKEN M IH0 S - S P OW1 - K AH0 N +MISSPOKEN(2) M IH0 - S P OW1 - K AH0 N +MISSTATE M IH0 S - S T EY1 T +MISSTATE(2) M IH0 - S T EY1 T +MISSTATED M IH0 S - S T EY1 - T IH0 D +MISSTATED(2) M IH0 - S T EY1 - T IH0 D +MISSTATEMENT M IH0 S - T EY1 T - M AH0 N T +MISSTATEMENTS M IH0 S - T EY1 T - M AH0 N T S +MISSTATEMENTS(2) M IH0 S - T EY1 T - M AH0 N S +MISSTATES M IH0 S - S T EY1 T S +MISSTATES(2) M IH0 - S T EY1 T S +MISSTATING M IH0 S - S T EY1 - T IH0 NG +MISSTATING(2) M IH0 - S T EY1 - T IH0 NG +MISSTEP M IH0 S - S T EH1 P +MISSTEP(2) M IH0 - S T EH1 P +MISSTEPS M IH0 S - S T EH1 P S +MISSTEPS(2) M IH0 - S T EH1 P S +MISSUS M IH1 - S IH0 Z +MISSY M IH1 - S IY0 +MISSY'S M IH1 - S IY0 Z +MIST M IH1 S T +MISTAKE M IH0 - S T EY1 K +MISTAKEN M IH0 - S T EY1 - K AH0 N +MISTAKENLY M IH0 - S T EY1 - K AH0 N - L IY0 +MISTAKES M IH0 - S T EY1 K S +MISTAKING M IH0 - S T EY1 - K IH0 NG +MISTER M IH1 - S T ER0 +MISTERS M IH1 - S T ER0 Z +MISTIC M IH1 - S T IH0 K +MISTLER M IH1 S T - L ER0 +MISTLETOE M IH1 - S AH0 L - T OW2 +MISTOOK M IH0 - S T UH1 K +MISTRAL M IH1 S - T R AH0 L +MISTREAT M IH0 S - T R IY1 T +MISTREATED M IH0 S - T R IY1 - T IH0 D +MISTREATING M IH0 S - T R IY1 - T IH0 NG +MISTREATMENT M IH0 S - T R IY1 T - M AH0 N T +MISTREATS M IH0 S - T R IY1 T S +MISTRESS M IH1 S - T R AH0 S +MISTRESSES M IH1 - S T R AH0 - S AH0 Z +MISTRESSES(2) M IH1 S - T R AH0 - S IH0 Z +MISTRETTA M IH0 - S T R EH1 - T AH0 +MISTRIAL M IH0 S - T R AY1 - AH0 L +MISTRIAL(2) M IH1 S - T R AY2 - AH0 L +MISTRIALS M IH0 S - T R AY1 - AH0 L Z +MISTRIALS(2) M IH1 S - T R AY2 - AH0 L Z +MISTRUST M IH0 S - T R AH1 S T +MISTRUSTED M IH0 S - T R AH1 - S T IH0 D +MISTRUSTFUL M IH0 S - T R AH1 S T - F AH0 L +MISTRUSTFUL(2) M IH0 S - T R AH1 S - F AH0 L +MISTRY M IH1 S - T R IY0 +MISTRY(2) M IH0 - S T R AY1 +MISTS M IH1 S T S +MISTY M IH1 - S T IY0 +MISUNDERSTAND M IH2 S - AH0 N - D ER0 - S T AE1 N D +MISUNDERSTANDING M IH2 S - AH0 N - D ER0 - S T AE1 N - D IH0 NG +MISUNDERSTANDINGS M IH2 S - AH0 N - D ER0 - S T AE1 N - D IH0 NG Z +MISUNDERSTANDS M IH2 S - AH0 N - D ER0 - S T AE1 N D Z +MISUNDERSTOOD M IH2 S - AH0 N - D ER0 - S T UH1 D +MISURACA M IH0 - S UH0 - R AA1 - K AH0 +MISUSE M IH0 S - Y UW1 Z +MISUSE(2) M IH0 S - Y UW1 S +MISUSED M IH0 S - Y UW1 Z D +MISUSES M IH0 S - Y UW1 - Z IH0 Z +MISUSES(2) M IH0 S - Y UW1 - S IH0 Z +MISUSING M IH0 S - Y UW1 - Z IH0 NG +MIT EH1 - M AY1 - T IY1 +MIT(2) M IH1 T +MITA M IY1 - T AH0 +MITAMURA M IY2 - T AH0 - M UH1 - R AH0 +MITCH M IH1 CH +MITCHAM M IH1 - CH AH0 M +MITCHEL M IH1 - CH AH0 L +MITCHELL M IH1 - CH AH0 L +MITCHELL'S M IH1 - CH AH0 L Z +MITCHELSON M IH1 - CH AH0 L - S AH0 N +MITCHELTREE M IH0 - CH IH0 L - T R IY1 +MITCHEM M IH1 - CH IH0 M +MITCHENER M IH1 - CH IY0 - N ER0 +MITCHNER M IH1 CH - N ER0 +MITCHUM M IH1 - CH AH0 M +MITE M AY1 T +MITEK M AY1 - T EH2 K +MITEL M AY1 - T EH2 L +MITER M AY1 - T ER0 +MITERING M AY1 - T ER0 - IH0 NG +MITES M AY1 T S +MITHCELL M IH1 TH - S AH0 L +MITHRIDATE M IH1 - TH R IH0 - D EY2 T +MITHRIDATES M IH1 - TH R IH0 - D EY2 T S +MITHUN M IH1 - TH AH0 N +MITI M IH1 - T IY2 +MITI(2) M IY1 - T IY2 +MITI(3) M IY1 - T IY0 +MITIGATE M IH1 - T AH0 - G EY2 T +MITIGATED M IH1 - T AH0 - G EY2 - T IH0 D +MITIGATES M IH1 - T AH0 - G EY2 T S +MITIGATING M IH1 - T AH0 - G EY2 - T IH0 NG +MITIGATION M IH2 - T IH0 - G EY1 - SH AH0 N +MITMAN M IH1 T - M AH0 N +MITNICK M IH1 T - N IH0 K +MITOFSKY M IH0 - T AO1 F S - K IY0 +MITRA M IH1 - T R AH0 +MITRAL M AY1 - T R AH0 L +MITRANO M IY0 - T R AA1 - N OW0 +MITRE M IH1 - T R IY0 +MITRE(2) M AY1 - T ER0 +MITRO M IH1 - T R OW0 +MITROVICH M IH1 - T R AH0 - V IH0 CH +MITSCH M IH1 CH +MITSCHKE M IH1 CH K +MITSOTAKIS M IH2 T - S OW0 - T AA1 - K IH0 S +MITSUBA M IY0 T - S UW1 - B AH0 +MITSUBISHI M IH2 T - S UW2 - B IY1 - SH IY0 +MITSUBISHI'S M IH2 T - S UW2 - B IY1 - SH IY0 Z +MITSUI M IY0 T - S UW1 - IY0 +MITSUI'S M IY0 T - S UW0 - IY0 Z +MITSUI(2) M IH0 T - S UW1 - IY0 +MITSUKOSHI M IY2 T - S UW2 - K OW1 - SH IY0 +MITSURU M IY0 T - S UW1 - R UW0 +MITT M IH1 T +MITTAG M IH1 - T AH0 G +MITTAL M IH2 - T AA1 L +MITTAN M IH1 - T AH0 N +MITTELEUROPA M IH2 - T EH2 - L UW2 - R OW1 - P AH0 +MITTELMAN M IH1 - T AH0 L - M AH0 N +MITTELSTADT M IH1 - T IH0 L SH - T AE0 T +MITTELSTAEDT M IH1 - T IH0 L - S T EH0 T +MITTELSTEADT M IH1 - T IH0 L - S T EH0 T +MITTEN M IH1 - T AH0 N +MITTENDORF M IH1 - T IH0 N - D AO0 R F +MITTENS M IH1 - T AH0 N Z +MITTERAND M IY1 - T ER0 - AO2 N D +MITTERAND'S M IY1 - T ER0 - AO2 N D Z +MITTERAND'S(2) M IY1 - T ER0 - AE2 N D Z +MITTERAND(2) M IY1 - T ER0 - AE2 N D +MITTERRAND M IY1 - T ER0 - AO2 N D +MITTERRAND'S M IY1 - T ER0 - AE0 N D Z +MITTERRAND(2) M IY1 - T ER0 - AE2 N D +MITTLEMAN M IH1 - T AH0 L - M AH0 N +MITTLER M IH1 T - L ER0 +MITTMAN M IH1 T - M AH0 N +MITTON M IH1 - T AH0 N +MITTS M IH1 T S +MITYUNOV M IH1 - T Y UW0 - N AA0 V +MITZEL M IH1 T - Z AH0 L +MITZI M IH1 T - S IY0 +MITZNER M IH1 T - S N ER0 +MITZVAH M IH1 T - S V AH0 +MIURA M IY0 - UH1 - R AH0 +MIX M IH1 K S +MIXED M IH1 K S T +MIXER M IH1 K - S ER0 +MIXERS M IH1 K - S ER0 Z +MIXES M IH1 K - S AH0 Z +MIXES(2) M IH1 K - S IH0 Z +MIXING M IH1 K - S IH0 NG +MIXNER M IH1 K S - N ER0 +MIXON M IH1 K - S AH0 N +MIXSON M IH1 K - S AH0 N +MIXTE M IH1 K S T +MIXTER M IH1 K - S T ER0 +MIXTURE M IH1 K S - CH ER0 +MIXTURES M IH1 K S - CH ER0 Z +MIXUP M IH1 K - S AH0 P +MIYAGAWA M IY2 - AA0 - G AA1 - W AH0 +MIYAHARA M IY2 - Y AA0 - HH AA1 - R AH0 +MIYAKE M IY0 - Y AA1 - K EY0 +MIYAKO M IY1 - AH2 - K OW2 +MIYAMORI M IY2 - AA0 - M AO1 - R IY0 +MIYAMOTO M IY0 - Y AA0 - M OW1 - T OW0 +MIYASAKI M IY2 - Y AA0 - S AA1 - K IY0 +MIYASATO M IY0 - Y AA0 - S AA1 - T OW0 +MIYASHIRO M IY0 - Y AA0 - SH IH1 - R OW0 +MIYAZAKI M IY2 - Y AA0 - Z AA1 - K IY0 +MIYAZAWA M IY2 - Y AH0 - Z AA1 W - AH0 +MIYAZAWA'S M IY2 - AH0 - Z AA1 - W AH0 Z +MIZAR M AY1 - Z AA2 R +MIZAR'S M AY1 - Z AA2 R Z +MIZE M AY1 Z +MIZE'S M AY1 - Z IH0 Z +MIZEL M AY1 - Z AH0 L +MIZEL(2) M AY2 - Z EH1 L +MIZELL M IH1 - Z AH0 L +MIZELLE M IH0 - Z EH1 L +MIZEN M AY1 - Z AH0 N +MIZER M AY1 - Z ER0 +MIZNER M IH1 Z - N ER0 +MIZRAHI M IY0 Z - R AA1 - HH IY0 +MIZUNO M IH0 - Z UW1 - N OW0 +MIZZELL M IH1 - Z AH0 L +MJ'S EH1 M - JH EY1 Z +MKHATSHWA M AH0 - K AE1 - CH W AH0 +MLADENIC M L AA2 - D EH1 - N IH0 CH +MLADIC M L AA1 - D IH0 CH +MLADIC'S M L AA1 - D IH0 - CH IH0 Z +MLECKO M L EH1 - K OW0 +MLECKO(2) M AH0 - L EH1 - K OW0 +MLOTOK M L OW1 - T AA2 K +MLOTOK(2) M AH0 - L AA1 - T AA2 K +MMABATHO M AH0 - B AA1 - TH OW0 +MME M AH0 - D AE1 M +MME(2) EH1 - M EH1 - M IY1 +MME(3) M AE1 - D AH0 M +MMMM M M +MNEMONIC N IH0 - M AA1 - N IH0 K +MNEMONIC(2) N IY0 - M AA1 - N IH0 K +MNEMONICS N IH0 - M AA1 - N IH0 K S +MNEMONICS(2) N IY0 - M AA1 - N IH0 K S +MNOOKIN M N UH1 - K AH0 N +MNOOKIN(2) M AH0 - N UH1 - K AH0 N +MO M OW1 +MOAB M OW1 - AE0 B +MOACQ M OW1 K +MOAD M OW1 D +MOAK M OW1 K +MOAKLEY M OW1 K - L IY0 +MOAMI M OW1 - M IY0 +MOAMMAR M OW1 - AH0 - M AA2 R +MOAN M OW1 N +MOANED M OW1 N D +MOANING M OW1 - N IH0 NG +MOANS M OW1 N Z +MOAT M OW1 T +MOATES M OW1 - EY2 T S +MOATS M OW1 T S +MOB M AA1 B +MOB'S M AA1 B Z +MOBAY M OW0 - B EY1 +MOBBED M AA1 B D +MOBBS M AA1 B Z +MOBE M OW1 B +MOBERG M OW1 - B ER0 G +MOBERLY M OW1 - B ER0 - L IY0 +MOBIL M OW1 - B AH0 L +MOBIL'S M OW1 - B AH0 L Z +MOBILE M OW1 - B AH0 L +MOBILE'S M OW1 - B AH0 L Z +MOBILES M OW1 - B AH0 L Z +MOBILIA M OW0 - B IY1 - L IY0 - AH0 +MOBILIARE M OW1 - B AH0 - L EH2 R +MOBILITY M OW0 - B IH1 - L AH0 - T IY0 +MOBILITY(2) M OW0 - B IH1 - L IH0 - T IY0 +MOBILIZATION M OW2 - B AH0 - L AH0 - Z EY1 - SH AH0 N +MOBILIZATION(2) M OW2 - B AH0 - L IH0 - Z EY1 - SH AH0 N +MOBILIZATIONS M OW2 - B AH0 - L AH0 - Z EY1 - SH AH0 N Z +MOBILIZE M OW1 - B AH0 - L AY2 Z +MOBILIZED M OW1 - B AH0 - L AY2 Z D +MOBILIZER M OW1 - B AH0 - L AY2 - Z ER0 +MOBILIZERS M OW1 - B AH0 - L AY2 - Z ER0 Z +MOBILIZING M OW1 - B AH0 - L AY2 - Z IH0 NG +MOBIUS M OW1 - B IY0 - AH0 S +MOBLEY M OW1 - B L IY0 +MOBS M AA1 B Z +MOBSTER M AA1 B - S T ER0 +MOBSTER'S M AA1 B - S T ER0 Z +MOBSTERS M AA1 B - S T ER0 Z +MOBUTU M OW0 - B Y UW1 - T UW2 +MOBUTU'S M OW0 - B Y UW1 - T UW2 Z +MOBUTU'S(2) M AH0 - B UW1 - T UW2 Z +MOBUTU(2) M AH0 - Y UW1 - T UW2 +MOBY M OW1 - B IY0 +MOCA M OW1 - K AH0 +MOCARSKI M AH0 - K AA1 R S - K IY0 +MOCATTA M AH0 - K AA1 - T AH0 +MOCCASIN M AA1 - K AH0 - S IH0 N +MOCCASINS M AA1 - K AH0 - S IH0 N Z +MOCCIA M OW1 - CH AH0 +MOCCIO M OW1 - CH IY0 - OW0 +MOCERI M OW0 - CH EH1 - R IY0 +MOCH M AA1 K +MOCHA M OW1 - K AH0 +MOCHEL M AA1 - K AH0 L +MOCHIDA M AH0 - CH IY1 - D AH0 +MOCHIZUKI M OW0 - CH IY0 - Z UW1 - K IY0 +MOCK M AA1 K +MOCK-HEROICALLY M AA1 K - HH ER0 - OW1 - IH0 K - L IY0 +MOCKED M AA1 K T +MOCKERY M AA1 - K ER0 - IY0 +MOCKING M AA1 - K IH0 NG +MOCKINGBIRD M AA1 - K IH0 NG - B ER2 D +MOCKLER M AA1 K - L ER0 +MOCKS M AA1 K S +MOCZYGEMBA M AH0 - CH IH0 - G EH1 M - B AH0 +MOD M AO1 D +MODAL M OW1 - D AH0 L +MODALITIES M AH0 - D AE1 - L AH0 - T IY0 Z +MODALITY M AH0 - D AE1 - L AH0 - T IY0 +MODARRESSI M OW0 - D AA2 - R EH1 - S IY0 +MODE M OW1 D +MODED M OW1 - D IH0 D +MODEL M AA1 - D AH0 L +MODEL'S M AA1 - D AH0 L Z +MODELED M AA1 - D AH0 L D +MODELING M AA1 - D AH0 L - IH0 NG +MODELING(2) M AA1 D - L IH0 NG +MODELL M OW0 - D EY1 L +MODELO M OW0 - D EH1 - L OW0 +MODELS M AA1 - D AH0 L Z +MODELS' M AA1 - D AH0 L Z +MODEM M OW1 - D AH0 M +MODEMS M OW1 - D AH0 M Z +MODEN M OW1 - D AH0 N +MODENA M OW0 - D EH1 - N AH0 +MODER M OW1 - D ER0 +MODERATE M AA1 - D ER0 - AH0 T +MODERATE(2) M AA1 - D ER0 - EY2 T +MODERATED M AA1 - D ER0 - EY2 - T IH0 D +MODERATELY M AA1 - D ER0 - AH0 T - L IY0 +MODERATES M AA1 - D ER0 - AH0 T S +MODERATES(2) M AA1 - D ER0 - EY2 T S +MODERATING M AA1 - D ER0 - EY2 - T IH0 NG +MODERATION M AA2 - D ER0 - EY1 - SH AH0 N +MODERATOR M AA1 - D ER0 - EY2 - T ER0 +MODERATORS M AA1 - D ER0 - EY2 - T ER0 Z +MODERN M AA1 - D ER0 N +MODERNISM M AA1 - D ER0 - N IH2 - Z AH0 M +MODERNIST M AA1 - D ER0 - N AH0 S T +MODERNISTS M AA1 - D ER0 - N AH0 S T S +MODERNISTS(2) M AA1 - D ER0 - N AH0 S S +MODERNISTS(3) M AA1 - D ER0 - N AH0 S +MODERNITY M AA0 - D ER1 - N AH0 - T IY0 +MODERNIZATION M AA2 - D ER0 - N AH0 - Z EY1 - SH AH0 N +MODERNIZATION(2) M AA2 - D ER0 - N AY0 - Z EY1 - SH AH0 +MODERNIZE M AA1 - D ER0 - N AY2 Z +MODERNIZED M AA1 - D ER0 - N AY2 Z D +MODERNIZING M AA1 - D ER0 - N AY2 - Z IH0 NG +MODERNS M AA1 - D ER0 N Z +MODES M OW1 D Z +MODESITT M AA1 - D IH0 - S IH0 T +MODEST M AA1 - D AH0 S T +MODESTA M OW0 - D EH1 - S T AH0 +MODESTIA M OW0 - D EH1 - S T Y AH0 +MODESTINE M OW0 - D EH0 - S T IY1 - N IY0 +MODESTLY M AA1 - D AH0 S T - L IY0 +MODESTO M OW0 - D EH1 - S T OW0 +MODESTY M AA1 - D AH0 - S T IY0 +MODGLIN M AA1 JH - L IH0 N +MODI M OW1 - D IY0 +MODIC M AA1 - D IH0 K +MODICA M OW0 - D IY1 - K AH0 +MODICUM M AA1 - D IH0 - K AH0 M +MODIFICATION M AA2 - D AH0 - F AH0 - K EY1 - SH AH0 N +MODIFICATIONS M AA2 - D AH0 - F AH0 - K EY1 - SH AH0 N Z +MODIFIED M AA1 - D AH0 - F AY2 D +MODIFIES M AA1 - D AH0 - F AY2 Z +MODIFY M AA1 - D AH0 - F AY2 +MODIFYING M AA1 - D AH0 - F AY2 - IH0 NG +MODIGLIANI M OW0 - D IH2 - G L IY0 - AA1 - N IY0 +MODIGLIANI(2) M OW0 - D IH2 - G L IY0 - AE1 - N IY0 +MODILIANI M OW0 - D IH2 - L IY0 - AE1 - N IY0 +MODINE M OW0 - D IY1 N +MODISETTE M AA1 - D IH0 - S EH0 T +MODJESKI M AH0 - JH EH1 S - K IY0 +MODLIN M AA1 D - L IH0 N +MODRAK M AA1 - D R AH0 K +MODROW M AA1 - D R OW0 +MODUGNO M OW0 - D UW1 G - N OW0 +MODULAIRE M AO1 - JH UW0 - L EH2 R +MODULAR M AA1 - JH AH0 - L ER0 +MODULATE M AO1 - JH Y UW0 - L EY0 T +MODULATE(2) M AO1 - JH UW0 - L EY0 T +MODULATED M AO1 - JH Y UW0 - L EY0 - T IH0 D +MODULATED(2) M AO1 - JH UW0 - L EY0 - T IH0 D +MODULATION M AA2 - JH AH0 - L EY1 - SH AH0 N +MODULATOR M AA1 - JH AH0 - L EY2 - T ER0 +MODULE M AA1 - JH UW0 L +MODULES M AA1 - JH UW0 L Z +MODUS M OW1 - D AH0 S +MODY M OW1 - D IY0 +MODZELEWSKI M AH0 - JH IH0 - L EH1 F S - K IY0 +MOE M OW1 +MOEBIUS M OW1 - B IY0 - IH0 S +MOECKEL M OW1 - K AH0 L +MOEDE M OW1 D +MOEHLE M OW1 - HH AH0 L +MOEHLMAN M OW1 L - M AH0 N +MOEHRING M AO1 - R IH0 NG +MOELLER M OW1 - L ER0 +MOELLERING M OW1 - L ER0 - IH0 NG +MOEN M OW1 N +MOENCH M OW1 NG K +MOENING M AA1 - AH0 - N IH0 NG +MOERBE M AO1 R B +MOERKE M AO1 R K +MOERMAN M OW1 - ER0 - M AH0 N +MOERS M OW1 - ER0 Z +MOERTEL M AO1 R - T EH2 L +MOES M OW1 Z +MOESCH M OW1 SH +MOESER M OW1 - Z ER0 +MOESSNER M OW1 S - N ER0 +MOET M OW1 - IH0 T +MOF M AA1 F +MOFFA M AA1 - F AH0 +MOFFAT M AA1 - F AH0 T +MOFFATT M AA1 - F AH0 T +MOFFET M AA1 - F IH0 T +MOFFETT M AA1 - F IH0 T +MOFFIT M AA1 - F IH0 T +MOFFITT M AA1 - F IH0 T +MOFFORD M AO1 - F ER0 D +MOFIELD M OW1 - F IY2 L D +MOGA M OW1 - G AH0 +MOGADISHU M OW2 - G AH0 - D IY1 - SH UW2 +MOGADISHU'S M OW2 - G AH0 - D IY1 - SH UW2 Z +MOGAN M OW1 - G AH0 N +MOGAVARO M OW0 - G AH0 - V AA1 - R OW0 +MOGAVERO M OW0 - G AA0 - V EH1 - R OW0 +MOGAYON M OW0 - G AA0 - Y AH0 N +MOGAYON'S M OW0 - G AA0 - Y AH0 N Z +MOGEL M OW1 - G AH0 L +MOGENSEN M AA1 - G IH0 N - S AH0 N +MOGER M OW1 - G ER0 +MOGG M AA1 G +MOGLE M OW1 - G AH0 L +MOGLIA M AA1 G - L IY0 - AH0 +MOGOPA M OW0 - G OW1 - P AH0 +MOGUL M OW1 - G AH0 L +MOGULS M OW1 - G AH0 L Z +MOHAIR M OW1 - HH EH2 R +MOHAMAD M AH0 - HH AA1 - M AH0 D +MOHAMED M OW0 - HH AA1 - M EH0 D +MOHAMMAD M OW0 - HH AA1 - M EH0 D +MOHAMMED M OW0 - HH AE1 - M IH0 D +MOHAN M OW1 - HH AA0 N +MOHAR M OW1 - HH ER0 +MOHASCO M OW0 - HH AE1 - S K OW0 +MOHAWK M OW1 - HH AO2 K +MOHAWKS M OW1 - HH AO2 K S +MOHER M AA1 - HH ER0 +MOHICAN M OW2 - HH IY1 - K AH0 N +MOHICANS M OW2 - HH IY1 - K AH0 N Z +MOHL M OW1 L +MOHLER M OW1 - L ER0 +MOHLMAN M OW1 L - M AH0 N +MOHN M AA1 N +MOHNEY M AA1 - N IY0 +MOHNKE M AA1 N K +MOHNKE(2) M AA1 N - K IY0 +MOHNKERN M AA1 N - K ER0 N +MOHON M OW1 - HH AH0 N +MOHR M AO1 R +MOHRING M AO1 - R IH0 NG +MOHRMAN M AO1 R - M AH0 N +MOHRMANN M AO1 R - M AH0 N +MOHS M AA1 S +MOHTASHEMI M OW2 - T AH0 - SH EY1 - M IY0 +MOI M W AA1 +MOILANEN M OY1 - L AH0 - N AH0 N +MOINA M OY1 - N AH0 +MOINES M OY1 N Z +MOINES(2) M OY1 N +MOIR M OY1 R +MOIRA M OY1 - R AH0 +MOISAN M OY0 - Z AE1 N +MOISE M OY1 Z +MOISES M OY1 - Z IH0 Z +MOISHE M OW1 - SH EH0 +MOISHE(2) M OY1 - SH IH0 +MOISI M OY1 - S IY0 +MOIST M OY1 S T +MOISTEN M OY1 - S AH0 N +MOISTENED M OY1 - S AH0 N D +MOISTURE M OY1 S - CH ER0 +MOISTURIZER M OY1 S - CH ER0 - AY2 - Z ER0 +MOJAVE M OW0 - HH AA1 - V IY0 +MOJICA M OW0 - Y IY1 - K AH0 +MOJO M OW1 - JH OW0 +MOK M AA1 K +MOKA M OW1 - K AH0 +MOKE M OW1 K +MOKES M OW1 K S +MOKHIBER M AA1 K - HH IH0 - B ER0 +MOKOENA M AH0 - K OW1 - N AH0 +MOKRY M AA1 - K R IY0 +MOL M AO1 L +MOLA M OW1 - L AH0 +MOLAISON M AH0 - L EY1 - Z AH0 N +MOLAND M AA1 - L AH0 N D +MOLANDER M AA1 - L AH0 N - D ER0 +MOLANO M OW0 - L AA1 - N OW0 +MOLASSES M AH0 - L AE1 - S AH0 Z +MOLCHAN M OW1 L - CH AH0 N +MOLD M OW1 L D +MOLDABLE M OW1 L - D AH0 - B AH0 L +MOLDAVIA M OW2 L - D EY1 - V IY0 - AH0 +MOLDAVIA(2) M OW2 L - D AA1 - V IY0 - AH0 +MOLDAVIAN M OW2 L - D EY1 - V IY0 - AH0 N +MOLDAVIAN(2) M OW2 L - D AA1 - V IY0 - AH0 N +MOLDED M OW1 L - D AH0 D +MOLDED(2) M OW1 L - D IH0 D +MOLDEN M OW1 L - D AH0 N +MOLDENHAUER M OW1 L - D IH0 N - HH AW0 - ER0 +MOLDER M OW1 L - D ER0 +MOLDERS M OW1 L - D ER0 Z +MOLDING M OW1 L - D IH0 NG +MOLDINGS M OW1 L - D IH0 NG Z +MOLDOVA M OW2 L - D OW1 - V AH0 +MOLDOVAN M OW2 L D - OW0 - V AA1 N +MOLDS M OW1 L D Z +MOLDY M OW1 L - D IY0 +MOLE M OW1 L +MOLECULAR M AH0 - L EH1 - K Y AH0 - L ER0 +MOLECULE M AA1 - L AH0 - K Y UW2 L +MOLECULES M AA1 - L AH0 - K Y UW2 L Z +MOLECULON M OW0 - L EH1 - K Y UW0 - L AA0 N +MOLEHILL M OW1 L - HH IH2 L +MOLELIKE M OW1 L - L AY2 K +MOLEN M OW1 - L AH0 N +MOLENAAR M AA1 - L IH0 - N AA0 R +MOLENDA M OW0 - L EH1 N - D AH0 +MOLER M OW1 - L ER0 +MOLES M OW1 L Z +MOLESKI M AH0 - L EH1 S - K IY0 +MOLESKY M AH0 - L EH1 S - K IY0 +MOLEST M AH0 - L EH1 S T +MOLESTATION M OW2 - L EH0 - S T EY1 - SH AH0 N +MOLESTED M AH0 - L EH1 - S T IH0 D +MOLESTER M AH0 - L EH1 - S T ER0 +MOLESTERS M AH0 - L EH1 - S T ER0 Z +MOLESTING M AH0 - L EH1 - S T IH0 NG +MOLESTS M AH0 - L EH1 S T S +MOLESTS(2) M AH0 - L EH1 S S +MOLESTS(3) M AH0 - L EH1 S +MOLESWORTH M OW1 L Z - W ER2 TH +MOLEX M OW1 - L AH0 K S +MOLIERE M OW0 - L Y EH1 R +MOLIERE'S M OW0 - L Y EH1 R Z +MOLIN M OW1 - L IH0 N +MOLINA M AH0 - L IY1 - N AH0 +MOLINAR M AA1 - L IH0 - N ER0 +MOLINARI M AO2 - L AH0 - N AA1 - R IY0 +MOLINARO M OW0 - L IY0 - N AA1 - R OW0 +MOLINE M OW0 - L IY1 N +MOLINEAUX M AO1 - L AH0 - N OW2 +MOLINELLI M OW0 - L IY0 - N EH1 - L IY0 +MOLINO M OW0 - L IY1 - N OW0 +MOLITOR M OW0 - L IY1 - T ER0 +MOLL M AA1 L +MOLLE M AA1 L +MOLLEN M AA1 - L IH0 N +MOLLENHAUER M AA1 - L IH0 N - HH AW0 - ER0 +MOLLENKOPF M AA1 - L AH0 N - K AO0 P F +MOLLENKOPF(2) M AA1 - L AH0 N - K AO0 F +MOLLER M AA1 - L ER0 +MOLLERING M AA1 - L ER0 - IH0 NG +MOLLET M AA1 - L IH0 T +MOLLETT M AA1 - L IH0 T +MOLLEY M AA1 - L IY0 +MOLLICA M AA1 - L IH0 - K AH0 +MOLLIE M AA1 - L IY0 +MOLLIFIED M AA1 - L AH0 - F AY2 D +MOLLIFY M AA1 - L AH0 - F AY2 +MOLLISON M AA1 - L IH0 - S AH0 N +MOLLNER M AA1 L - N ER0 +MOLLO M AA1 - L OW0 +MOLLOHAN M AA1 - L AH0 - HH AE0 N +MOLLOY M AA1 - L OY0 +MOLLUSK M AA1 - L AH0 S K +MOLLUSKS M AA1 - L AH0 S K S +MOLLY M AA1 - L IY0 +MOLLY'S M AA1 - L IY0 Z +MOLLYCODDLE M AA1 - L IY0 - K AA2 - D AH0 L +MOLNAR M OW1 L - N ER0 +MOLNAR(2) M OW1 L - N AA0 R +MOLNER M OW1 L - N ER0 +MOLOCK M AA1 - L AH0 K +MOLOKAI M AA1 - L AH0 - K AY2 +MOLONEY M AH0 - L OW1 - N IY0 +MOLONICKS M AH0 - L AO1 - N IH0 K S +MOLONY M AH0 - L AO1 - N IY0 +MOLOTOV M AO1 - L AH0 - T AA2 F +MOLPUS M AO1 L - P AH0 S +MOLPUS' M AO1 L - P AH0 S +MOLPUS'S M AO1 L - P AH0 - S IH0 S +MOLSON M OW1 L - S AH0 N +MOLSTAD M OW1 L - S T AH0 D +MOLT M OW1 L T +MOLTEN M OW1 L - T AH0 N +MOLTER M OW1 L - T ER0 +MOLTING M OW1 L - T IH0 NG +MOLTON M OW1 L - T AH0 N +MOLTZ M OW1 L T S +MOLY M OW1 - L IY0 +MOLYBDENUM M AH0 - L IH1 B - D IH0 - N AH0 M +MOLYNEAUX M AA1 - L IH0 - N OW0 +MOLZAHN M OW1 L - Z AH0 N +MOM M AA1 M +MOM'S M AA1 M Z +MOMA M OW1 - M AH0 +MOMA'S M OW1 - M AH0 Z +MOMAN M OW1 - M AH0 N +MOMAYEZ M OW0 - M EY1 - EH0 Z +MOMBASA M AA0 M - B AA1 - S AH0 +MOMENT M OW1 - M AH0 N T +MOMENT'S M OW1 - M AH0 N T S +MOMENTARILY M OW2 - M AH0 N - T EH1 - R AH0 - L IY0 +MOMENTARY M OW1 - M AH0 N - T EH2 - R IY0 +MOMENTOUS M OW0 - M EH1 N - T AH0 S +MOMENTS M OW1 - M AH0 N T S +MOMENTUM M OW0 - M EH1 N - T AH0 M +MOMIGLIANO M OW0 - M IH1 - G L IY0 - AA1 - N OW0 +MOMMA M AA1 - M AH0 +MOMMENS M AA1 - M AH0 N Z +MOMMIES M AA1 - M IY0 Z +MOMMY M AA1 - M IY0 +MOMMY'S M AA1 - M IY0 Z +MOMOKAWA M OW2 - M OW0 - K AA1 - W AH0 +MOMOKAWA'S M OW2 - M OW0 - K AA1 - W AH0 Z +MOMS M AA1 M Z +MON M OW1 N +MON(2) M AA1 N +MONA M OW1 - N AH0 +MONA'S M OW1 - N AH0 Z +MONACELLI M OW0 - N AA0 - CH EH1 - L IY0 +MONACHINO M OW0 - N AA0 - K IY1 - N OW0 +MONACO M AA1 - N AH0 - K OW2 +MONAD M OW1 - N AE0 D +MONADNOCK M AA2 - N AE1 D - N AA0 K +MONAGENE M AA1 - N AH0 - JH IY2 N +MONAGHAN M AA1 - N AH0 - HH AE0 N +MONAHAN M AA1 - N AH0 - HH AE0 N +MONARCH M AA1 - N AA2 R K +MONARCH'S M AA1 - N AA2 R K S +MONARCHIES M AA1 - N AA0 R - K IY0 Z +MONARCHIST M AA1 - N AA0 R - K IH0 S T +MONARCHISTS M AA1 - N AA0 R - K IH0 S T S +MONARCHISTS(2) M AA1 - N AA0 R - K IH0 S S +MONARCHISTS(3) M AA1 - N AA0 R - K IH0 S +MONARCHS M AA1 - N AA2 R K S +MONARCHY M AA1 - N AA0 R - K IY0 +MONARREZ M OW0 - N AA1 - R EH0 Z +MONASH M AA1 - N AE2 SH +MONASTERIES M AA1 - N AH0 - S T EH2 - R IY0 Z +MONASTERY M AA1 - N AH0 - S T EH2 - R IY0 +MONASTIC M AH0 - N AE1 - S T IH0 K +MONASTICISM M AH0 - N AE1 - S T AH0 - S IH2 - Z AH0 M +MONATOMIC M AA2 N - AH0 - T AA1 - M IH0 K +MONCA M OW1 N - K AH0 +MONCADA M OW0 N - K AA1 - D AH0 +MONCAYO M OW0 N - K EY1 - OW0 +MONCEAUX M AH0 N - S OW1 +MONCRIEF M AA1 N - K R IY0 F +MONCUR M AA1 N - K ER0 +MONCURE M OW0 N - K UH1 - R IY0 +MONCUS M AA1 N - K IH0 S +MONDA M AA1 N - D AH0 +MONDADORI M AA2 N - D AH0 - D AO1 - R IY0 +MONDALE M AA1 N - D EY2 L +MONDALE'S M AA1 N - D EY2 L Z +MONDALLO M AA0 N - D AE1 - L OW0 +MONDAVI M AA0 N - D AA1 - V IY0 +MONDAY M AH1 N - D IY0 +MONDAY'S M AH1 N - D IY0 Z +MONDAY'S(2) M AH1 N - D EY2 Z +MONDAY(2) M AH1 N - D EY2 +MONDAYS M AH1 N - D IY0 Z +MONDAYS(2) M AH1 N - D EY2 Z +MONDE M AA1 N D +MONDELLI M OW0 N - D EH1 - L IY0 +MONDELLO M AA2 N - D EH1 - L OW0 +MONDEO M AA2 N - D EY1 - OW0 +MONDEX M AA1 N - D EH0 K S +MONDO M AA1 N - D OW0 +MONDOR M AA1 N - D ER0 +MONDRAGON M OW0 N - D R AA0 - G AO1 N +MONDRIAN M AA1 N - D R IY0 - AH0 N +MONDRIAN(2) M AA1 N - D R IY0 - AE0 N +MONDRY M AA1 N - D R IY0 +MONDS M AA1 N D Z +MONDSCHEIN M AA1 N D - SH AY2 N +MONDY M AA1 N - D IY0 +MONE M OW1 N +MONELL M AA1 - N AH0 L +MONES M OW1 N Z +MONESSEN M OW1 - N AH0 - S AH0 N +MONESSEN(2) M AH0 - N EH1 - S AH0 N +MONET M OW0 - N EY1 +MONET'S M OW0 - N EY1 Z +MONETARILY M AA0 - N AH0 - T ER1 - IH0 - L IY0 +MONETARISM M AA1 - N AH0 - T ER0 - IH2 - Z AH0 M +MONETARIST M AA1 - N AH0 - T ER0 - IH0 S T +MONETARISTS M AA1 - N AH0 - T ER0 - IH2 S T S +MONETARISTS(2) M AA1 - N AH0 - T ER0 - IH2 S S +MONETARISTS(3) M AA1 - N AH0 - T ER0 - IH2 S +MONETARY M AA1 - N AH0 - T EH2 - R IY0 +MONETT M AA1 - N IH0 T +MONETTE M AH0 - N EH1 T +MONEY M AH1 - N IY0 +MONEY'S M AH1 - N IY0 Z +MONEYCARD M AH1 - N IY0 - K AA2 R D +MONEYCENTER M AH1 - N IY0 - S EH2 N - T ER0 +MONEYED M AH1 - N IY0 D +MONEYLESS M AH1 - N IY0 - L IH0 S +MONEYLINE M AH1 - N IY0 - L AY2 N +MONEYLINE'S M AH1 - N IY0 - L AY2 N Z +MONEYMAKER M AH1 - N IY0 - M EY2 - K ER0 +MONEYMAKERS M AH1 - N IY0 - M EY2 - K ER0 Z +MONEYMAKING M AH1 - N IY0 - M EY2 - K IH0 NG +MONEYPENNY M AH1 - N IY0 - P EH2 - N IY0 +MONEYS M AH1 - N IY0 Z +MONEYWATCH M AH1 - N IY0 - W AA2 CH +MONEYWEEK M AH1 - N IY0 - W IY2 K +MONEYWEEK'S M AH1 - N IY0 - W IY2 K S +MONFILS M AA1 N - F IH0 L Z +MONFORT M AA1 N - F ER0 T +MONFORTE M OW0 N - F AO1 R - T IY0 +MONG M AO1 NG +MONGAN M AA1 NG - G AH0 N +MONGE M AA1 N JH +MONGEAU M AH0 NG - G OW1 +MONGELLI M OW0 NG - G EH1 - L IY0 +MONGEON M AA1 N - JH IH0 N +MONGER M AH1 NG - G ER0 +MONGERING M AH1 NG - G ER0 - IH0 NG +MONGERS M AH1 NG - G ER0 Z +MONGIELLO M OW0 N - JH EH1 - L OW0 +MONGILLO M OW0 NG - G IH1 - L OW0 +MONGOL M AA1 NG - G AH0 L +MONGOLD M AA1 N - G OW2 L D +MONGOLIA M AA0 NG - G OW1 - L IY0 - AH0 +MONGOLIA(2) M AA0 NG - G OW1 - L Y AH0 +MONGOLIAN M AA0 NG - G OW1 - L IY0 - AH0 N +MONGOLIAN(2) M AA0 NG - G OW1 - L Y AH0 N +MONGOLOID M AA1 NG - G AH0 - L OY2 D +MONGOLS M AA1 NG - G AH0 L Z +MONGOOSE M AA1 NG - G UW0 S +MONGOOSES M AA1 NG - G UW0 - S AH0 Z +MONGOSUTU M AA2 NG - G OW0 - S UW1 - T UW0 +MONGOSUTU'S M AA2 NG - G OW0 - S UW1 - T UW0 Z +MONGSTAD M AO1 NG - S T AE2 D +MONHOLLEN M AA1 N - HH AH0 - L AH0 N +MONICA M AA1 - N IH0 - K AH0 +MONICA'S M AA1 - N IH0 - K AH0 Z +MONICAL M AA1 - N IH0 - K AH0 L +MONICO M OW0 - N IY1 - K OW0 +MONIED M AH1 - N IY0 D +MONIER M OW1 - N IY0 - ER0 +MONIES M AH1 - N IY0 Z +MONIESON M OW1 - N IY0 - S AH0 N +MONIESON'S M OW1 - N IY0 - S AH0 N Z +MONIGOLD M AA1 - N IH0 - G OW2 L D +MONIKER M AA1 - N IH0 - K ER0 +MONIKERS M AA1 - N IH0 - K ER0 Z +MONINGER M OW1 - N IH0 - NG ER0 +MONIQUE M OW2 - N IY1 K +MONISM M AA1 - N IH0 - Z AH0 M +MONISMS M AA1 - N IH0 - Z AH0 M Z +MONITOR M AA1 - N AH0 - T ER0 +MONITORED M AA1 - N AH0 - T ER0 D +MONITORING M AA1 - N AH0 - T ER0 - IH0 NG +MONITORS M AA1 - N AH0 - T ER0 Z +MONIZ M AA1 - N IH0 Z +MONJE M AA1 N JH +MONK M AH1 NG K +MONK'S M AH1 NG K S +MONKEE M AA1 NG - K IY0 +MONKEES M AA1 NG - K IY0 Z +MONKEY M AH1 NG - K IY0 +MONKEYING M AH1 NG - K IY0 - IH0 NG +MONKEYLIKE M AH1 NG - K IY0 - L AY2 K +MONKEYS M AH1 NG - K IY0 Z +MONKS M AH1 NG K S +MONMOUTH M AA1 N - M AH0 TH +MONMOUTH'S M AA1 N - M AH0 TH S +MONN M AA1 N +MONNETT M AA1 - N IH0 T +MONNIER M AA1 - N IY0 - ER0 +MONNIG M AA1 - N IH0 G +MONNIN M AA1 - N IH0 N +MONO M OW1 - N OW0 +MONOCARPIC M AA2 - N AH0 - K AA1 R - P IH0 K +MONOCHROMATIC M AA2 - N AH0 - K R OW0 - M AE1 - T IH0 K +MONOCHROME M AA1 - N AH0 - K R OW2 M +MONOCLATE M AA1 - N AH0 - K L EY2 T +MONOCLE M AA1 - N AH0 - K AH0 L +MONOCLINIC M AA2 - N AH0 - K L IH1 - N IH0 K +MONOCLONAL M AA2 - N AH0 - K L OW1 - N AH0 L +MONOGAMOUS M AH0 - N AA1 - G AH0 - M AH0 S +MONOGAMY M AH0 - N AA1 - G AH0 - M IY0 +MONOGRAM M AA1 - N AH0 - G R AE2 M +MONOGRAMMED M AA1 - N AH0 - G R AE2 M D +MONOGRAPH M AA1 - N AH0 - G R AE2 F +MONOHULL M AA1 - N AH0 - HH AH0 L +MONOLINGUAL M AA2 - N AH0 L - IH1 NG - G W AH0 L +MONOLITH M AA1 - N AH0 - L IH2 TH +MONOLITHIC M AA2 - N AH0 - L IH1 - TH IH0 K +MONOLITHS M AA1 - N AH0 - L IH2 TH S +MONOLOGUE M AA1 - N AH0 - L AO2 G +MONOLOGUES M AA1 - N AH0 - L AO2 G Z +MONOMER M AA1 - N AH0 - M ER0 +MONOMERS M AA1 - N AH0 - M ER0 Z +MONONGAHELA M AH0 - N AO2 NG - G AH0 - HH EY1 - L AH0 +MONONUCLEAR M AA2 - N AH0 - N UW1 K - L IY0 - ER0 +MONOPHONIC M AA2 - N AH0 - F AA1 - N IH0 K +MONOPLANE M AA1 - N AH0 - P L EY2 N +MONOPLANES M AA1 - N AH0 - P L EY2 N Z +MONOPOLE M AA1 - N AH0 - P OW2 L +MONOPOLES M AA1 - N AH0 - P OW2 L Z +MONOPOLIES M AH0 - N AA1 - P AH0 - L IY0 Z +MONOPOLIST M AH0 - N AA1 - P AH0 - L AH0 S T +MONOPOLISTIC M AH0 - N AA2 - P AH0 - L IH1 - S T IH0 K +MONOPOLIZATION M AH0 - N AA2 - P AH0 - L IH0 - Z EY1 - SH AH0 N +MONOPOLIZE M AH0 - N AA1 - P AH0 - L AY2 Z +MONOPOLIZED M AH0 - N AA1 - P AH0 - L AY2 Z D +MONOPOLIZES M AH0 - N AA1 - P AH0 - L AY2 - Z IH0 Z +MONOPOLIZING M AH0 - N AA1 - P AH0 - L AY2 - Z IH0 NG +MONOPOLY M AH0 - N AA1 - P AH0 - L IY0 +MONORAIL M AA1 - N ER0 - EY2 L +MONORAILS M AA1 - N ER0 - EY2 L Z +MONOSACCHARIDE M AA2 - N AH0 - S AE1 - K ER0 - AY2 D +MONOSZON M AA1 - N AH0 - Z AA2 N +MONOTHEISM M AA1 - N AH0 - TH IY0 - IH0 - Z AH0 M +MONOTONE M AA1 - N AH0 - T OW2 N +MONOTONOUS M AH0 - N AA1 - T AH0 N - AH0 S +MONOTONY M AH0 - N AA1 - T AH0 N - IY0 +MONOTYPE M AA1 - N AH0 - T AY2 P +MONOVALENT M AA2 - N AH0 - V EY1 - L AH0 N T +MONOXIDE M AH0 - N AA1 K - S AY0 D +MONREAL M AA1 N - R AH0 L +MONRO M AA1 N - R OW0 +MONROE M AH0 N - R OW1 +MONROE'S M AH0 N - R OW1 Z +MONROEVILLE M AA0 N - R OW1 - V IH2 L +MONROEVILLE(2) M AH0 N - R OW1 - V IH2 L +MONROVIA M AA2 N - R OW1 - V IY0 - AH0 +MONROY M AA1 N - R OY2 +MONSANTO M AA2 N - S AE1 N - T OW0 +MONSANTO'S M AA0 N - S AE1 N - T OW0 Z +MONSEES M AA1 N - S IY2 Z +MONSEN M AA1 N - S AH0 N +MONSEY M AA1 N - Z IY0 +MONSIEUR M AH0 - S Y ER1 +MONSIEURS M AH0 - S Y ER1 Z +MONSIGNOR M AA0 N - S IY1 - N Y ER0 +MONSIGNORS M AA0 N - S IY1 - N Y ER0 Z +MONSKY M AA1 N S - K IY0 +MONSOD M AA1 N - S AA0 D +MONSON M AA1 N - S AH0 N +MONSOON M AA0 N - S UW1 N +MONSOONAL M AA0 N - S UW1 - N AH0 L +MONSOONS M AA0 N - S UW1 N Z +MONSOUR M AA1 N - S ER0 +MONSTER M AA1 N - S T ER0 +MONSTERS M AA1 N - S T ER0 Z +MONSTROSITY M AA0 N S - T R AA1 - S AH0 - T IY0 +MONSTROUS M AA1 N S - T R AH0 S +MONT M AA1 N T +MONTAG M AH0 N - T AE1 G +MONTAGE M AA0 N - T AA1 ZH +MONTAGNA M OW0 N - T AA1 G - N AH0 +MONTAGNE M AH0 N - T EY1 N Y +MONTAGNIER M AA0 N - T AE1 - N Y ER0 +MONTAGNINO M OW0 N - T AA0 G - N IY1 - N OW0 +MONTAGU M AA1 N - T AH0 - G Y UW2 +MONTAGU'S M AA1 N - T AH0 - G Y UW2 Z +MONTAGUE M AA1 N - T AH0 - G Y UW2 +MONTALBAN M AA0 N - T AE1 L - B AH0 N +MONTALBANO M OW0 N - T AA0 L - B AA1 - N OW0 +MONTALBO M AA2 N - T AE1 L - B OW0 +MONTALTO M OW0 N - T AA1 L - T OW0 +MONTALVO M OW0 N - T AA1 L - V OW0 +MONTANA M AA0 N - T AE1 - N AH0 +MONTANA'S M AA0 N - T AE1 - N AH0 Z +MONTANAN M AA0 N - T AE1 - N AH0 N +MONTANANS M AA0 N - T AE1 - N AH0 N Z +MONTANANS(2) M AO2 N - T AE1 - N AH0 N Z +MONTANARI M OW0 N - T AA0 - N AA1 - R IY0 +MONTANARO M OW0 N - T AA0 - N AA1 - R OW0 +MONTAND M AA1 N - T AH0 N D +MONTANEZ M OW0 N - T AA1 - N EH0 Z +MONTANTE M OW0 N - T AA1 N - T IY0 +MONTANYE M OW0 N - T AA1 - N Y EY0 +MONTAVON M OW0 N - T AA0 - V AO1 N +MONTAZERI M AA2 N - T AH0 - Z EH1 - R IY0 +MONTBLANC M AA0 N T - B L AE1 NG K +MONTBLANC(2) M OW0 N T - B L AA1 NG K +MONTCLAIR M AA2 N T - K L EH1 R +MONTE M AA1 N - T IY0 +MONTE'S M AA1 N - T IY0 Z +MONTEAGUDO M OW0 N - T AH0 - G UW1 - D OW0 +MONTEBELLO M AA2 N - T IH0 - B EH1 - L OW0 +MONTECALVO M OW0 N - T EH0 - K AA1 L - V OW0 +MONTEDISON M AA0 N - T EH1 - D IH0 - S AH0 N +MONTEDISON'S M AA0 N - T EH1 - D IH0 - S AH0 Z +MONTEE M AA1 N - T IY0 +MONTEFIORE M AA2 N - T AH0 - F IY0 - AO1 - R IY0 +MONTEFIORE(2) M AA2 N - T AH0 - F Y AO1 R +MONTEFORTE M OW0 N - T EH0 - F AO1 R - T IY0 +MONTEFUSCO M OW0 N - T EH0 - F UW1 - S K OW0 +MONTEGO M AO2 N - T IY1 - G OW0 +MONTEIL M AA0 N - T AY1 L +MONTEIRO M AA0 N - T EH1 - R OW0 +MONTEJANO M AA0 N - T EY0 - AA1 - N OW0 +MONTEL M AA0 N - T EH1 L +MONTEL'S M AA0 N - T EH1 L Z +MONTELEONE M AA0 N - T EY0 - L EY0 - OW1 - N IY0 +MONTELLA M AA2 N - T EH1 - L AH0 +MONTELLO M AA2 N - T EH1 - L OW0 +MONTELONGO M AA0 N - T EH0 - L OW1 NG - G OW0 +MONTEMARANO M AA0 N - T EH0 - M AA0 - R AA1 - N OW0 +MONTEMAYOR M AA0 N - T EY0 - M EY0 - AO1 R +MONTEMURRO M AA0 N - T EH0 - M UH1 - R OW0 +MONTENAY M AA1 N - T AH0 - N EY2 +MONTENEGRAN M AA2 N - T AH0 - N EY1 - G R AH0 N +MONTENEGRO M AA2 N - T AH0 - N EY1 - G R OW0 +MONTENEGRO'S M AA2 N - T AH0 - N EY1 - G R OW0 Z +MONTER M AA1 N - T ER0 +MONTEREY M AA2 N - T ER0 - EY1 +MONTEREY(2) M AA2 - N ER0 - EY1 +MONTERO M AA0 N - T EH1 - R OW0 +MONTEROSSO M OW0 N - T ER0 - OW1 - S OW0 +MONTERREY M AA2 N - T ER0 - EY1 +MONTERREY(2) M AA2 - N ER0 - EY1 +MONTERREY(3) M AA2 N - T ER0 - R EY1 +MONTERREY(4) M AA2 - N ER0 - R EY1 +MONTES M AA1 N - T IY0 Z +MONTESANO M OW0 N - T EH0 - S AA1 - N OW0 +MONTESDEOCA M OW0 N - T EH0 S - D IY0 - AA1 - K AH0 +MONTESI M OW0 N - T EH1 - S IY0 +MONTESINO M OW0 N - T EH0 - S IY1 - N OW0 +MONTESSORI M AA2 N - T AH0 - S AO1 - R IY0 +MONTEVERDE M OW0 N - T EH0 - V EH1 R - D IY0 +MONTEVIDEO M AA2 N - T AH0 - V IH1 - D IY0 - OW2 +MONTEZ M OW0 N - T EH1 Z +MONTEZUMA M AA2 N - T IH0 - Z UW1 - M AH0 +MONTFORD M AH0 N T - F AO1 R D +MONTFORT M AA1 N T - F ER0 T +MONTGOMERY M AA0 N T - G AH1 M - R IY0 +MONTGOMERY'S M AA0 N T - G AH1 - M R IY0 Z +MONTGORIS M AA0 N T - G AO1 - R IH0 S +MONTH M AH1 N TH +MONTH'S M AH1 N TH S +MONTHLONG M AH1 N - TH L AO2 NG +MONTHLY M AH1 N TH - L IY0 +MONTHS M AH1 N TH S +MONTHS' M AA1 N TH S +MONTI M AA1 N - T IY0 +MONTICCIOLO M AA0 N - T IY2 - CH IY0 - OW1 - L OW0 +MONTICELLO M AA2 N - T AH0 - S EH1 - L OW0 +MONTICELLO(2) M AA2 N - T IH0 - S EH1 - L OW0 +MONTIE M AA1 N - T IY0 +MONTIEL M OW0 N - T IY0 - EH1 L +MONTIEN M AA2 N - T IY1 - EH0 N +MONTIETH M AA1 N - T IY0 - IH0 TH +MONTIJO M OW0 N - T IY1 - Y OW0 +MONTINI M OW0 N - T IY1 - N IY0 +MONTJOY M AA1 N T - JH OY2 +MONTMINY M AA1 N T - M IH0 - N IY0 +MONTONE M OW0 N - T OW1 - N IY0 +MONTOOTH M AA1 N - T UW2 TH +MONTOYA M AA0 N - T OY1 - AH0 +MONTPELIER M AA0 N T - P IY1 - L IY0 - ER0 +MONTPELIER'S M AA0 N T - P IY1 - L IY0 - ER0 Z +MONTREAL M AH2 N - T R IY0 - AO1 L +MONTREAL'S M AA2 N - T R IY0 - AA1 L Z +MONTRONE M AA0 N - T R OW1 N +MONTROSE M AA1 N - T R OW2 Z +MONTROSS M OW1 N - T R OW0 S +MONTROY M AA1 N - T R OY2 +MONTS M AA1 N T S +MONTUORI M OW0 N T - W AO1 - R IY0 +MONTVALE M AA1 N T - V EY2 L +MONTVILLE M OW1 N T - V IH0 L +MONTY M AO1 N - T IY0 +MONTZ M AA1 N T S +MONUMENT M AA1 - N Y UW0 - M AH0 N T +MONUMENT(2) M AA1 - N Y AH0 - M AH0 N T +MONUMENTAL M AA2 - N Y AH0 - M EH1 N - T AH0 L +MONUMENTAL(2) M AA2 - N Y AH0 - M EH1 - N AH0 L +MONUMENTAL(3) M AA2 - N Y UW0 - M EH1 N - T AH0 L +MONUMENTALLY M AA2 - N Y AH0 - M EH1 N - T AH0 - L IY0 +MONUMENTALLY(2) M AA2 - N Y UW0 - M EH1 N - T AH0 - L IY0 +MONUMENTALLY(3) M AA2 - N Y AH0 - M EH1 N - AH0 - L IY0 +MONUMENTALLY(4) M AA2 - N Y UW0 - M EH1 - N AH0 - L IY0 +MONUMENTS M AA1 - N Y AH0 - M AH0 N T S +MONUMENTS(2) M AA1 - N Y UW0 - M AH0 N T S +MONUS M OW1 - N AH0 S +MONY M OW1 - N IY0 +MONZERT M AA1 N - Z ER0 T +MONZINGO M OW0 N - Z IY1 NG - G OW0 +MONZO M AA1 N - Z OW0 +MONZON M OW0 N - Z AO1 N +MONZONITE M AA1 N - Z AH0 - N AY2 T +MOOBERRY M UW1 - B EH2 - R IY0 +MOOD M UW1 D +MOODIE M UW1 - D IY0 +MOODS M UW1 D Z +MOODY M UW1 - D IY0 +MOODY'S M UW1 - D IY0 Z +MOOERS M UW1 - ER0 Z +MOOG M UW1 G +MOOK M UH1 K +MOOMAW M UW1 - M AO2 +MOOMEY M UW1 - M IY0 +MOON M UW1 N +MOON'S M UW1 N Z +MOONBEAM M UW1 N - B IY2 M +MOONDREAMER M UW1 N - D R IY2 - M ER0 +MOONDREAMERS M UW1 N - D R IY2 - M ER0 Z +MOONE M UW1 N +MOONEY M UW1 - N IY0 +MOONEYHAM M UW1 - N IY0 - HH AH0 M +MOONEYHAN M UW1 - N IY0 - HH AH0 N +MOONIE M UW1 - N IY0 +MOONIES M UW1 - N IY0 Z +MOONLIGHT M UW1 N - L AY2 T +MOONLIGHTING M UW1 N - L AY2 - T IH0 NG +MOONLIKE M UW1 N - L AY2 K +MOONLIT M UW1 N - L IH2 T +MOONS M UW1 N Z +MOONSHINE M UW1 N - SH AY2 N +MOONSTONE M UW1 N - S T OW2 N +MOONSTRUCK M UW1 N - S T R AH2 K +MOONVES M UW1 N - V EH0 Z +MOOR M UH1 R +MOORADIAN M UH0 - R EY1 - D IY0 - AH0 N +MOORCO M UH1 R - K OW0 +MOORCO(2) M AO1 R - K OW0 +MOORE M UH1 R +MOORE'S M UH1 R Z +MOORE'S(2) M AO1 R Z +MOORE(2) M AO1 R +MOORED M UH1 R D +MOOREFIELD M UH1 - R IH0 - F IY0 L D +MOOREFIELD(2) M UH1 R - F IY0 L D +MOOREHEAD M UH1 R - HH EH2 D +MOOREHOUSE M UH1 R - HH AW2 S +MOORER M UH1 - R ER0 +MOORES M UH1 R Z +MOORESTOWN M AO1 R Z - T AW2 N +MOORHEAD M UH1 R - HH EH2 D +MOORHOUSE M UH1 R - HH AW2 S +MOORING M UH1 - R IH0 NG +MOORINGS M UW1 - R IH0 NG Z +MOORINGS(2) M AO1 - R IH0 NG Z +MOORISH M UH1 - R IH0 SH +MOORLAND M UH1 R - L AE2 N D +MOORLAND'S M UH1 R - L AE2 N D Z +MOORLANDS M UH1 R - L AE2 N D Z +MOORMAN M UH1 R - M AH0 N +MOORMANN M UH1 R - M AH0 N +MOORS M UH1 R Z +MOOS M UW1 Z +MOOSA M UW1 - S AH0 +MOOSE M UW1 S +MOOSEHEAD M UW1 S - HH EH2 D +MOOSMAN M UW1 S - M AH0 N +MOOT M UW1 T +MOOTHART M UW1 - TH AA0 R T +MOOTS M UW1 T S +MOOTY M UW1 - T IY0 +MOOTZ M UW1 T S +MOP M AA1 P +MOPBOARD M AA1 P - B AO2 R D +MOPE M OW1 P +MOPING M OW1 - P IH0 NG +MOPPED M AA1 P T +MOPPES M AA1 P S +MOPPING M AA1 - P IH0 NG +MOPS M AA1 P S +MOPUS M OW1 - P AH0 S +MOQUIN M OW0 - K W IY1 N +MOR M AO1 R +MOR'S M AO1 R Z +MORA M AO1 - R AH0 +MORABITO M AO0 - R AA0 - B IY1 - T OW0 +MORACE M AO0 - R AA1 - CH IY0 +MORACHOV M AO1 - R AH0 - CH AO2 V +MORAD M AO1 - R AH0 D +MORADO M AO0 - R AA1 - D OW0 +MORAGA M AO0 - R AA1 - G AH0 +MORAGNE M ER0 - EY1 N Y +MORAHAN M AO1 - R AH0 - HH AE0 N +MORAIN M ER0 - EY1 N +MORAINAL M ER0 - EY1 - N AH0 L +MORAINE M ER0 - EY1 N +MORAIS M ER0 - EY1 +MORAITIS M AO0 - R AY1 - T IH0 S +MORAL M AO1 - R AH0 L +MORALE M ER0 - AE1 L +MORALES M ER0 - AE1 L Z +MORALES(2) M AO0 - R AE1 - L EH0 S +MORALEZ M AO0 - R AA1 - L EH0 Z +MORALISM M AO1 - R AH0 - L IH2 - Z AH0 M +MORALIST M AO1 - R AH0 - L IH0 S T +MORALISTIC M AO2 - R AH0 - L IH1 - S T IH0 K +MORALISTS M AO1 - R AH0 - L IH0 S T S +MORALISTS(2) M AO1 - R AH0 - L IH0 S S +MORALISTS(3) M AO1 - R AH0 - L IH0 S +MORALITY M ER0 - AE1 - L AH0 - T IY0 +MORALIZE M AO1 - R AH0 - L AY2 Z +MORALIZING M AO1 - R AH0 - L AY2 - Z IH0 NG +MORALLY M AO1 - R AH0 - L IY0 +MORALS M AO1 - R AH0 L Z +MORAN M ER0 - AE1 N +MORAND M AO1 - R AH0 N D +MORANDAN M AH0 - R AE1 N - D AH0 N +MORANDI M AO0 - R AA1 N - D IY0 +MORANDO M AO0 - R AA1 N - D OW0 +MORANG M AO1 - R AH0 NG +MORANO M AO0 - R AA1 - N OW0 +MORANT M AO1 - R AH0 N T +MORANTE M AO0 - R AA1 N - T IY0 +MORASH M AO1 - R AH0 SH +MORASKI M ER0 - AA1 S - K IY0 +MORASS M ER0 - AE1 S +MORASSES M ER0 - AE1 - S IH0 Z +MORATH M AO1 - R AH0 TH +MORATORIA M AO2 - R AH0 - T AO1 - R IY0 - AH0 +MORATORIUM M AO2 - R AH0 - T AO1 - R IY0 - AH0 M +MORATORIUMS M AO2 - R AH0 - T AO1 - R IY0 - AH0 M Z +MORAVEC M ER0 - AA1 - V IH0 K +MORAVEK M AO1 - R AH0 - V IH0 K +MORAVIAN M ER0 - EY1 - V IY0 - AH0 N +MORAWSKI M ER0 - AA1 F S - K IY0 +MORAY M ER0 - EY1 +MORAY(2) M AO1 - R EY0 +MORAYS M ER0 - EY1 Z +MORAYS(2) M AO1 - R EY0 Z +MORBID M AO1 R - B AH0 D +MORBIDITY M AO0 R - B IH1 - D AH0 - T IY0 +MORBY M AO1 R - B IY0 +MORCOM M AO1 R - K AH0 M +MORD M AO1 R D +MORDANT M AO1 R - D AH0 N T +MORDECAI M AO1 R - D AH0 - K AY2 +MORDECHAI M AO1 R - D AH0 - K AY2 +MORDEN M AO1 R - D AH0 N +MORE M AO1 R +MOREA M AO1 - R IY0 - AH0 +MOREAU M ER0 - OW1 +MOREDOCK M AO1 - R IH0 - D AA0 K +MOREE M ER0 - IY1 +MOREEN M AO0 - R IY1 N +MOREFIELD M AO1 - R IH0 - F IY2 L D +MOREFIELD(2) M AO1 R - F IY2 L D +MOREHART M AO1 - R IH0 - HH AA0 R T +MOREHART(2) M AO1 R - HH AA0 R T +MOREHEAD M AO1 - R HH EH0 D +MOREHOUSE M AO1 R - HH AW2 S +MOREIRA M AO0 - R EH1 - R AH0 +MOREJON M AO1 - R IH0 - JH AA0 N +MOREL M ER0 - EH1 L +MORELAND M AO1 R - L AH0 N D +MORELL M AO1 - R AH0 L +MORELLA M AO0 - R EH1 - L AH0 +MORELLI M AO0 - R EH1 - L IY0 +MORELLO M ER0 - EH1 - L OW0 +MORELOCK M AO1 - R IH0 - L AA0 K +MORELOCK(2) M AO1 R - L AA0 K +MOREMAN M AO1 R - M AH0 N +MOREN M AO1 - R AH0 N +MORENA M AO0 - R EY1 - N AH0 +MORENCY M AO0 - R AO1 N - S IY0 +MORENO M AO0 - R IY1 - N OW0 +MORENO(2) M AO0 - R EY1 - N OW0 +MOREOVER M AO0 - R OW1 - V ER0 +MORERA M AO0 - R EH1 - R AH0 +MORES M AO1 - R EY2 Z +MORES(2) M AO1 - R IY2 Z +MORESCO M AO0 - R EH1 - S K OW0 +MORESO M AO0 - R EH1 - S OW0 +MORET M AO1 - R IH0 T +MORETON M AO1 - R IH0 - T AA0 N +MORETTI M AO0 - R EH1 - T IY0 +MORETTO M AO0 - R EH1 - T OW0 +MORETZ M AO1 - R IH0 T S +MOREVER M AO2 - R EH1 - V ER0 +MOREY M AO1 - R IY0 +MORFIN M AO1 R - F IH0 N +MORFORD M AO1 R - F ER0 D +MORGA M AO1 R - G AH0 +MORGADO M AO0 R - G AA1 - D OW0 +MORGAN M AO1 R - G AH0 N +MORGAN'S M AO1 R - G AH0 N Z +MORGANA M AO0 R - G AE1 - N AH0 +MORGANS M AO1 R - G AH0 N Z +MORGANSTERN M AO1 R - G AH0 N - S T ER0 N +MORGANTE M AO0 R - G AA1 N - T IY0 +MORGANTI M AO0 R - G AA1 N - T IY0 +MORGANTOWN M AO1 R - G AH0 N - T AW2 N +MORGART M AO1 R - G AA0 R T +MORGEN M AO1 R - G AH0 N +MORGENROTH M AO1 R - G IH0 N - R AO0 TH +MORGENSTERN M AO1 R - G IH0 N - S T ER0 N +MORGENTHALER M AO1 R - G IH0 N - TH AH0 - L ER0 +MORGENTHAU M AO1 R - G AH0 N - TH AW2 +MORGUE M AO1 R G +MORGUES M AO1 R G Z +MORGUN M AO1 R - G AH0 N +MORI M AO1 - R IY0 +MORIA M AO1 - R IY0 - AH0 +MORIAL M AO1 - R IY0 - AH0 L +MORIARITY M AO2 - R IY0 - AA1 - R AH0 - T IY0 +MORIARTY M AO2 - R IY0 - AA1 R - T IY0 +MORIBUND M AO1 - R AH0 - B AH0 N D +MORIC M AO1 - R IH0 K +MORICE M AO1 - R IH0 S +MORICI M AO0 - R IY1 - CH IY0 +MORIHIRO M AO0 - R IY0 - HH IH1 - R OW0 +MORIHIRO'S M AO0 - R IY0 - HH IH1 - R OW0 Z +MORIKAWA M AO0 - R IY0 - K AA1 - W AH0 +MORILLO M AO0 - R IH1 - L OW0 +MORILLOM M AO1 - R IH0 - L AO0 M +MORILLONO M AO0 - R IH1 - L AH0 - N OW0 +MORIMOTO M AO0 - R IY0 - M OW1 - T OW0 +MORIN M AO1 - R IH0 N +MORINE M AO0 - R IY1 - N IY0 +MORING M AO1 - R IH0 NG +MORINI M AO0 - R IY1 - N IY0 +MORINO M AO0 - R IY1 - N OW0 +MORIOKA M AO0 - R IY0 - OW1 - K AH0 +MORIS M AO1 - R IH0 S +MORISETTE M AO1 - R IH0 - S EH0 T +MORISHITA M AO0 - R IY0 - SH IY1 - T AH0 +MORISON M AO1 - R IH0 - S AH0 N +MORISSETTE M AO1 - R IH0 - S EH0 T +MORITA M AO0 - R IY1 - T AH0 +MORITZ M AO0 - R IH1 T S +MORIYA M AO0 - R IY1 - AH0 +MORJERA M AO0 R - JH EH1 - R AH0 +MORK M AO1 R K +MORKEN M AO1 R - K AH0 N +MORLAN M AO1 R - L AH0 N +MORLAND M AO1 R - L AH0 N D +MORLEY M AO1 R - L IY0 +MORLOCK M AO1 R - L AH0 K +MORMAN M AO1 R - M AH0 N +MORMILE M AO1 R - M AY0 L +MORMINO M AO0 R - M IY1 - N OW0 +MORMON M AO1 R - M AH0 N +MORMONISM M AO1 R - M AH0 - N IH0 Z M +MORMONISM(2) M AO1 R - M AH0 - N IH0 - Z AH0 M +MORMONS M AO1 R - M AH0 N Z +MORNA M AO1 R - N AH0 +MORNEAU M ER0 - N OW1 +MORNEAULT M ER0 - N OW1 +MORNING M AO1 R - N IH0 NG +MORNING'S M AO1 R - N IH0 NG Z +MORNINGS M AO1 R - N IH0 NG Z +MORNINGSTAR M AO1 R - N IH0 NG - S T AA2 R +MORNINGSTAR'S M AO1 R - N IH0 NG - S T AA2 R Z +MORO M AO1 - R OW2 +MOROCCAN M ER0 - AA1 - K AH0 N +MOROCCANS M ER0 - AA1 - K AH0 N Z +MOROCCO M ER0 - AA1 - K OW0 +MORON M AO1 - R AA2 N +MORONES M AO0 - R OW1 - N EH0 S +MORONEY M ER0 - OW1 - N IY0 +MORONI M ER0 - OW1 - N IY0 +MOROS M AO1 - R OW0 Z +MOROSE M ER0 - OW1 S +MOROSKY M AO0 - R AO1 S - K IY0 +MOROVCIC M AO0 - R AA1 V - CH IH0 K +MOROVCIC'S M AO0 - R AA1 V - CH IH0 K S +MOROWICK M AO1 - R AH0 - W IH2 K +MOROZ M AO1 - R OW0 Z +MORPH M AO1 R F +MORPHEW M AO1 R - F Y UW0 +MORPHIN M AO1 R - F AH0 N +MORPHINE M AO1 R - F IY0 N +MORPHING M AO1 R - F IH0 NG +MORPHIS M AO1 R - F IH0 S +MORPHOGENESIS M AO2 R - F AH0 - JH EH1 - N AH0 - S AH0 S +MORPHOLOGICAL M AO2 R - F AH0 - L AA1 - JH IH0 - K AH0 L +MORPHOLOGY M AO0 R - F AA1 - L AH0 - JH IY0 +MORPHONIOS M AO0 R - F AO1 - N IY0 - AH0 S +MORPHONIOS(2) M AO0 R - F AO1 - N IY0 - OW0 S +MORPHS M AO1 R F S +MORR M AO1 R +MORRA M AO1 - R AH0 +MORRALL M AO0 - R AA1 L +MORREALE M AO0 - R IY1 - L IY0 +MORRELL M AO0 - R EH1 L +MORREN M AO1 - R AH0 N +MORRICAL M AO1 - R IH0 - K AH0 L +MORRIE M AO1 - R IY0 +MORRILL M AO0 - R IY1 L +MORRIN M AO1 - R IH0 N +MORRIS M AO1 - R AH0 S +MORRIS' M AO1 - R AH0 S +MORRIS'S M AO1 - R IH0 - S IH0 Z +MORRIS(2) M AO1 - R IH0 S +MORRISETT M AO1 - R AH0 - S EH2 T +MORRISETTE M AO1 - R IH0 - S EH0 T +MORRISEY M AO1 - R IH0 - S IY0 +MORRISH M AO1 - R IH0 SH +MORRISON M AO1 - R IH0 - S AH0 N +MORRISON'S M AO1 - R IH0 - S AH0 N Z +MORRISS M AO1 - R IH0 - S IH0 Z +MORRISSETTE M AO1 - R IH0 - S EH0 T +MORRISSEY M AO1 - R IH0 - S IY0 +MORRISTOWN M AO1 - R AH0 - S T AW2 N +MORRISVILLE M AO1 - R AH0 - S V IH2 L +MORRISVILLE'S M AO1 - R AH0 - S V IH2 L Z +MORRO M AO1 - R OW0 +MORRONE M AO0 - R OW1 - N IY0 +MORROW M AA1 - R OW0 +MORROW(2) M AO1 - R OW0 +MORRY M AO1 - R IY0 +MORSCH M AO1 R SH +MORSE M AO1 R S +MORSEL M AO1 R - S AH0 L +MORSELS M AO1 R - S AH0 L Z +MORSON M AO1 R - S AH0 N +MORSS M AO1 R S +MORT M AO1 R T +MORTAL M AO1 R - T AH0 L +MORTALITY M AO0 R - T AE1 - L AH0 - T IY0 +MORTALLY M AO1 R - T AH0 - L IY0 +MORTALS M AO1 R - T AH0 L Z +MORTAR M AO1 R - T ER0 +MORTARA M AO0 R - T AA1 - R AH0 +MORTARS M AO1 R - T ER0 Z +MORTEKI M AO0 R - T EH1 - K IY0 +MORTELL M AO0 R - T EY1 L +MORTELLARO M AO0 R - T EH0 - L AA1 - R OW0 +MORTEM M AO1 R - T AH0 M +MORTEMS M AO1 R - T AH0 M Z +MORTEN M AO1 R - T AH0 N +MORTENSEN M AO1 R - T IH0 N - S AH0 N +MORTENSON M AO1 R - T IH0 N - S AH0 N +MORTER M AO1 R - T ER0 +MORTGAGE M AO1 R - G AH0 JH +MORTGAGE'S M AO1 R - G IH0 - JH IH0 Z +MORTGAGE(2) M AO1 R - G IH0 JH +MORTGAGED M AO1 R - G IH0 JH D +MORTGAGEPOWER M AO1 R - G IH0 JH - P AW2 R +MORTGAGES M AO1 R - G AH0 - JH AH0 Z +MORTGAGES(2) M AO1 R - G IH0 - JH IH0 Z +MORTGAGING M AO1 R - G IH0 - JH IH0 NG +MORTICIAN M AO0 R - T IH1 - SH AH0 N +MORTIE M AO1 R - T IY0 +MORTIER M AO1 R - T IY0 - ER0 +MORTIFIED M AO1 R - T AH0 - F AY2 D +MORTIFY M AO1 R - T IH0 - F AY2 +MORTIMER M AO1 R - T IH0 - M ER0 +MORTIMORE M AO0 R - T IY1 - M AO0 R +MORTIS M AO1 R - T IH0 S +MORTLAND M AO1 R T - L AH0 N D +MORTNER M AO1 R T - N ER0 +MORTON M AO1 R - T AH0 N +MORTON'S M AO1 R - T AH0 N Z +MORTUARY M AO1 R - CH UW0 - EH2 - R IY0 +MORTY M AO1 R - T IY0 +MORUHIRO M AO2 - R UW0 - HH IH1 - R OW0 +MORUHIRO'S M AO2 - R UW0 - HH IH1 - R OW0 Z +MORVANT M AO1 R - V AH0 N T +MORVEN M AO1 R - V AH0 N +MORVILLO M AO0 R - V IH1 - L OW0 +MORY M AO1 - R IY0 +MORZE M AO1 R Z +MOSAIC M OW0 - Z EY1 - IH0 K +MOSAICAL M OW0 - Z EY1 - IH0 - K AH0 L +MOSAICS M OW0 - Z EY1 - IH0 K S +MOSBACHER M AA1 S - B AA0 - K ER0 +MOSBRUCKER M AA1 S - B R AH0 - K ER0 +MOSCA M OW1 - S K AH0 +MOSCATO M OW0 - S K AA1 - T OW0 +MOSCHELLA M OW0 - S K EH1 - L AH0 +MOSCHETTI M OW0 - S K EH1 - T IY0 +MOSCO M OW1 - S K OW0 +MOSCOM M AO1 S - K AH0 M +MOSCOSO M OW0 - S K OW1 - S OW0 +MOSCOW M AA1 - S K OW2 +MOSCOW'S M AO1 S - K AW0 Z +MOSCOW'S(2) M AA1 - S K OW2 Z +MOSCOW(2) M AO1 S - K AW0 +MOSCOWANE M AA1 S K - OW0 - W EY0 N +MOSE M OW1 Z +MOSEL M OW1 - S AH0 L +MOSELEY M OW1 Z - L IY0 +MOSELEY-BRAUN M OW1 Z - L IY0 - B R AA1 N +MOSELLE M OW0 - Z EH1 L +MOSELY M OW1 Z - L IY0 +MOSEMAN M OW1 S - M AH0 N +MOSER M OW1 - Z ER0 +MOSES M OW1 - Z AH0 S +MOSES(2) M OW1 - Z IH0 S +MOSEY M OW1 - Z IY0 +MOSH M AO1 SH +MOSHE M OW0 - SH EH1 +MOSHE'S M OW0 - SH EH1 Z +MOSHE'S(2) M OW1 - SH AH0 Z +MOSHE(2) M OW1 - SH AH0 +MOSHER M OW1 - ZH ER0 +MOSHIER M AA1 - SH IY0 - ER0 +MOSHOOD M AA1 S - HH UH2 D +MOSHUS M OW1 - SH AH0 S +MOSHUS(2) M UW1 - SH AH0 S +MOSIE M AA1 - S IY0 +MOSIER M OW1 - ZH ER0 +MOSIER(2) M OW1 - Z IY0 - ER0 +MOSIMAN M OW1 - S IY0 - M AH0 N +MOSK M AO1 S K +MOSKAL M AA1 S - K AH0 L +MOSKATEL'S M AO2 - S K AH0 - T EH1 L Z +MOSKO M OW1 - S K OW0 +MOSKOLENKO M AO2 - S K OW0 - L EH1 NG - K OW0 +MOSKOVITZ M AA1 - S K AH0 - V IH0 T S +MOSKOW M AA1 - S K OW0 +MOSKOWITZ M AO1 - S K AH0 - W IH0 T S +MOSKWA M AA1 S K - V AH0 +MOSLE M OW1 - S AH0 L +MOSLEM M AA1 Z - L AH0 M +MOSLEMS M AA1 Z - L AH0 M Z +MOSLER M AA1 - S AH0 - L ER0 +MOSLER(2) M AA1 S - L ER0 +MOSLEY M OW1 Z - L IY0 +MOSMAN M AA1 S - M AH0 N +MOSQUE M AA1 S K +MOSQUE(2) M AO1 S K +MOSQUEDA M OW0 S - K W EY1 - D AH0 +MOSQUERA M OW0 S - K W EH1 - R AH0 +MOSQUES M AA1 S K S +MOSQUES(2) M AO1 S K S +MOSQUITO M AH0 - S K IY1 - T OW0 +MOSQUITOES M AH0 - S K IY1 - T OW0 Z +MOSQUITOS M AH0 - S K IY1 - T OW0 Z +MOSS M AO1 S +MOSSAD M OW0 - S AE1 D +MOSSAD(2) M OW0 - S AA1 D +MOSSBACHER M AA1 S - B AA0 - K ER0 +MOSSBARGER M AA1 S - B AA0 R - G ER0 +MOSSBERG M AO1 S - B ER0 G +MOSSBURG M AO1 S - B ER0 G +MOSSER M AO1 - S ER0 +MOSSES M AO1 - S AH0 Z +MOSSES(2) M AO1 - S IH0 Z +MOSSEY M AA1 - S IY0 +MOSSHOLDER M AO1 S - HH OW2 L - D ER0 +MOSSLIKE M AO1 S - L AY2 K +MOSSMAN M AO1 S - M AH0 N +MOSSO M OW1 - S OW0 +MOST M OW1 S T +MOST(2) M OW1 S +MOSTAR M OW1 - S T AA0 R +MOSTAR'S M OW1 - S T AA0 R Z +MOSTEK M AA1 - S T IH0 K +MOSTELLER M AA1 - S T AH0 L - ER0 +MOSTER M OW1 - S T ER0 +MOSTLY M OW1 S T - L IY0 +MOSTLY(2) M OW1 S - L IY0 +MOSTOLLER M AA1 - S T OW0 - L ER0 +MOSTOW M AA1 - S T AW0 +MOSTROM M AA1 S - T R AH0 M +MOSTYN M AA1 - S T IH0 N +MOSUL M OW1 - S AH0 L +MOSUR M OW2 - S UH1 R +MOSZKOWSKI M AA2 S K - AW1 S - K IY0 +MOTA M OW1 - T AH0 +MOTE M OW1 T +MOTEL M OW0 - T EH1 L +MOTELS M OW0 - T EH1 L Z +MOTEN M OW1 - T AH0 N +MOTES M OW1 T S +MOTEURS M OW0 - T UW1 R Z +MOTH M AO1 TH +MOTHBALL M AO1 TH - B AO2 L +MOTHBALLED M AO1 TH - B AO2 L D +MOTHBALLING M AO1 TH - B AO1 - L IH0 NG +MOTHBALLS M AO1 TH - B AO2 L Z +MOTHER M AH1 - DH ER0 +MOTHER'S M AH1 - DH ER0 Z +MOTHERCARE M AH1 - DH ER0 - K EH2 R +MOTHERHOOD M AH1 - DH ER0 - HH UH2 D +MOTHERING M AH1 - DH ER0 - IH0 NG +MOTHERLAND M AH1 - DH ER0 - L AE2 N D +MOTHERLESS M AH1 - DH ER0 - L IH0 S +MOTHERLY M AH1 - DH ER0 - L IY0 +MOTHERS M AH1 - DH ER0 Z +MOTHERS' M AH1 - TH ER0 Z +MOTHERS-IN-LAW M AH1 - DH ER0 - Z IH0 N - L AO2 +MOTHERSHEAD M AH1 - DH ER0 Z - HH EH2 D +MOTHERSHED M AH1 - DH ER0 - SH EH2 D +MOTHON M AA1 - TH AH0 N +MOTHS M AO1 TH S +MOTIF M OW0 - T IY1 F +MOTIFS M OW0 - T IY1 F S +MOTILE M OW1 - T AH0 L +MOTILITY M OW0 - T IH1 - L IH0 - T IY0 +MOTION M OW1 - SH AH0 N +MOTIONED M OW1 - SH AH0 N D +MOTIONING M OW1 - SH AH0 N - IH0 NG +MOTIONLESS M OW1 - SH AH0 N - L AH0 S +MOTIONS M OW1 - SH AH0 N Z +MOTIVATE M OW1 - T AH0 - V EY2 T +MOTIVATED M OW1 - T AH0 - V EY2 - T AH0 D +MOTIVATES M OW1 - T AH0 - V EY2 T S +MOTIVATING M OW1 - T AH0 - V EY2 - T IH0 NG +MOTIVATION M OW2 - T AH0 - V EY1 - SH AH0 N +MOTIVATIONAL M OW2 - T AH0 - V EY1 - SH AH0 - N AH0 L +MOTIVATIONS M OW2 - T AH0 - V EY1 - SH AH0 N Z +MOTIVATOR M OW1 - T AH0 - V EY0 - T ER0 +MOTIVE M OW1 - T IH0 V +MOTIVES M OW1 - T IH0 V Z +MOTL M AA1 - T AH0 L +MOTLEY M AA1 T - L IY0 +MOTO M OW1 - T OW0 +MOTO(2) M AA1 - T OW0 +MOTOHASHI M OW2 - T OW0 - HH AA1 - SH IY0 +MOTOLA M OW0 - T OW1 - L AH0 +MOTON M OW1 - T OW0 N +MOTONORI M OW2 - T OW0 - N AO1 - R IY0 +MOTOR M OW1 - T ER0 +MOTOR'S M OW1 - T ER0 Z +MOTORBIKE M OW1 - T ER0 - B AY2 K +MOTORBIKES M OW1 - T ER0 - B AY2 K S +MOTORBOAT M OW1 - T ER0 - B OW2 T +MOTORCADE M OW1 - T ER0 - K EY2 D +MOTORCADES M OW1 - T ER0 - K EY2 D Z +MOTORCAR M OW1 - T ER0 - K AA2 R +MOTORCARS M OW1 - T ER0 - K AA2 R Z +MOTORCYCLE M OW1 - T ER0 - S AY2 - K AH0 L +MOTORCYCLES M OW1 - T ER0 - S AY2 - K AH0 L Z +MOTORCYCLIST M OW1 - T ER0 - S AY2 - K AH0 - L IH0 S T +MOTORCYCLIST(2) M OW1 - T ER0 - S AY2 - K L IH0 S T +MOTORCYCLISTS M OW1 - T ER0 - S AY2 - K AH0 - L IH0 S T S +MOTORCYCLISTS(2) M OW1 - T ER0 - S AY2 - K AH0 - L IH0 S S +MOTORCYCLISTS(3) M OW1 - T ER0 - S AY2 - K AH0 - L IH0 S +MOTORCYCLISTS(4) M OW1 - T ER0 - S AY2 K - L IH0 S +MOTOREN M OW1 - T ER0 - AH0 N +MOTORING M OW1 - T ER0 - IH0 NG +MOTORIST M OW1 - T ER0 - IH0 S T +MOTORISTS M OW1 - T ER0 - AH0 S T S +MOTORISTS(2) M OW1 - T ER0 - IH0 S T S +MOTORISTS(3) M OW1 - T ER0 - IH0 S S +MOTORISTS(4) M OW1 - T ER0 - IH0 S +MOTORIZE M OW1 - T ER0 - AY2 Z +MOTORIZED M OW1 - T ER0 - AY2 Z D +MOTOROLA M OW2 - T ER0 - OW1 - L AH0 +MOTOROLA'S M OW2 - T ER0 - OW1 - L AH0 Z +MOTORS M OW1 - T ER0 Z +MOTORS' M OW1 - T ER0 Z +MOTOWN M OW1 - T AW2 N +MOTOWN'S M OW1 - T AW2 N Z +MOTRIN M AA1 - T R IH0 N +MOTS M AA1 T S +MOTSINGER M AA1 T - S IH0 N - JH ER0 +MOTSOALEDI M AA0 T - S OW0 - L EY1 - D IY0 +MOTT M AA1 T +MOTT'S M AA1 T S +MOTTE M AA1 T +MOTTER M AA1 - T ER0 +MOTTERN M AA1 - T ER0 N +MOTTL M AA1 - T AH0 L +MOTTLED M AA1 - T AH0 L D +MOTTLEY M AA1 T - L IY0 +MOTTLING M AA1 - T AH0 L - IH0 NG +MOTTLING(2) M AA1 T - L IH0 NG +MOTTO M AA1 - T OW0 +MOTTOLA M OW0 - T OW1 - L AH0 +MOTTOS M AA1 - T OW0 Z +MOTTRAM M AA1 - T R AH0 M +MOTTS M AA1 T S +MOTTUS M AA1 - T AH0 S +MOTYKA M AA1 - T AY0 - K AH0 +MOTYL M OW1 - T AH0 L +MOTZ M AA1 T S +MOTZER M OW1 T - Z ER0 +MOTZKO M AA1 T - S K OW0 +MOUA M AW1 - AH0 +MOUDRY M OW1 - D R IY0 +MOUDY M AW1 - D IY0 +MOUEIX M UW2 - W AY1 K S +MOUL M AW1 L +MOULD M OW1 L D +MOULDEN M OW1 L - D AH0 N +MOULDER M OW1 L - D ER0 +MOULDING M OW1 L - D IH0 NG +MOULDINGS M OW1 L - D IH0 NG Z +MOULDS M OW1 L D Z +MOULDY M OW1 L - D IY0 +MOULIN M UW0 - L AE1 N +MOULINEX M UW1 - L IH0 - N EH0 K S +MOULTHROP M AW1 L - TH R AH0 P +MOULTON M OW1 L - T AH0 N +MOULTRIE M OW1 L - T R IY0 +MOUNCE M AW1 N S +MOUND M AW1 N D +MOUNDS M AW1 N D Z +MOUNGER M AW1 - NG ER0 +MOUNSEY M AW1 N - S IY0 +MOUNT M AW1 N T +MOUNTAIN M AW1 N - T AH0 N +MOUNTAIN'S M AW1 N - T AH0 N Z +MOUNTAINEER M AW1 N - T IH0 - N IH2 R +MOUNTAINOUS M AW1 N - T AH0 - N AH0 S +MOUNTAINS M AW1 N - T AH0 N Z +MOUNTAINSIDE M AW1 N - T AH0 N - S AY2 D +MOUNTAINSIDES M AW1 N - T AH0 N - S AY2 D Z +MOUNTAINTOP M AW1 N - T AH0 N - T AA2 P +MOUNTAINTOPS M AW1 N - T AH0 N - T AA2 P S +MOUNTCASTLE M AW1 N T - K AE2 - S AH0 L +MOUNTED M AW1 N - T AH0 D +MOUNTED(2) M AW1 N - T IH0 D +MOUNTED(3) M AW1 - N IH0 D +MOUNTFORD M UW0 N T - F AO1 R D +MOUNTIES M AW1 N - T IY0 Z +MOUNTIES(2) M AW1 - N IY0 Z +MOUNTING M AW1 N - T IH0 NG +MOUNTJOY M AW1 N T - JH OY2 +MOUNTLEIGH M AW1 N T - L IY2 +MOUNTLEIGH'S M AW1 N T - L IY2 Z +MOUNTS M AW1 N T S +MOUNTZ M AW1 N T S +MOURA M UH1 - R AH0 +MOURAD M UW1 - R AE0 D +MOURADIAN M AO0 - R EY1 - D IY0 - AH0 N +MOURER M AO1 - R ER0 +MOURN M AO1 R N +MOURNED M AO1 R N D +MOURNER M AO1 R - N ER0 +MOURNERS M AO1 R - N ER0 Z +MOURNFUL M AO1 R N - F AH0 L +MOURNING M AO1 R - N IH0 NG +MOURNS M AO1 R N Z +MOUSE M AW1 S +MOUSEHOLE M AW1 S - HH OW2 L +MOUSEL M UW0 - S EH1 L +MOUSER M AW1 - Z ER0 +MOUSERS M AW1 - Z ER0 Z +MOUSETRAP M AW1 S - T R AE2 P +MOUSLEY M AW1 S - L IY0 +MOUSSA M AW1 - S AH0 +MOUSSE M UW1 S +MOUSSEAU M UW2 - S OW1 +MOUSTACHE M AH1 - S T AE2 SH +MOUTH M AW1 TH +MOUTHED M AW1 DH D +MOUTHFUL M AW1 TH - F UH2 L +MOUTHING M AW1 - DH IH0 NG +MOUTHPART M AW1 TH - P AA2 R T +MOUTHPARTS M AW1 TH - P AA2 R T S +MOUTHPIECE M AW1 TH - P IY2 S +MOUTHPIECES M AW1 TH - P IY2 - S IH0 Z +MOUTHS M AW1 DH Z +MOUTHWASH M AW1 TH - W AA2 SH +MOUTHY M AW1 - TH IY0 +MOUTRAY M UW0 - T R EY1 +MOUTSE M UW1 T - S IY0 +MOUW M AW1 W +MOUZON M UW0 - Z AO1 N +MOVABLE M UW1 - V AH0 - B AH0 L +MOVE M UW1 V +MOVED M UW1 V D +MOVEMENT M UW1 V - M AH0 N T +MOVEMENT'S M UW1 V - M AH0 N T S +MOVEMENTS M UW1 V - M AH0 N T S +MOVER M UW1 - V ER0 +MOVERS M UW1 - V ER0 Z +MOVES M UW1 V Z +MOVIDA M UW2 - V IY1 - D AH0 +MOVIE M UW1 - V IY0 +MOVIE'S M UW1 - V IY0 Z +MOVIEGOER M UW1 - V IY2 - G OW2 - ER0 +MOVIEGOERS M UW1 - V IY2 - G OW2 - ER0 Z +MOVIEGOING M UW1 - V IY2 - G OW2 - IH0 NG +MOVIELAB M UW1 - V IY0 - L AE2 B +MOVIEMAKER M UW1 - V IY2 - M EY2 - K ER0 +MOVIEMAKERS M UW1 - V IY2 - M EY2 - K ER0 Z +MOVIEMAKING M UW1 - V IY2 - M EY2 - K IH0 NG +MOVIES M UW1 - V IY0 Z +MOVIETIME M UW1 - V IY0 - T AY2 M +MOVING M UW1 - V IH0 NG +MOVINGLY M UW1 - V IH0 NG - L IY0 +MOW M OW1 +MOWAT M OW1 - AH0 T +MOWATT M OW1 - AH0 T +MOWBRAY M OW1 - B R EY0 +MOWDY M OW1 - D IY0 +MOWED M OW1 D +MOWELL M AA1 - W EH0 L +MOWEN M OW1 - AH0 N +MOWER M OW1 - ER0 +MOWERS M OW1 - ER0 Z +MOWERY M AW1 - ER0 - IY0 +MOWING M AW1 - IH0 NG +MOWRER M AO1 - R ER0 +MOWREY M AO1 - R IY0 +MOWRY M AO1 - R IY0 +MOWS M AW1 Z +MOXIE M AA1 K - S IY0 +MOXLEY M AA1 K S - L IY0 +MOXON M AA1 K - S AH0 N +MOY M OY1 +MOYA M OY1 - AH0 +MOYE M OY1 +MOYER M OY1 - ER0 +MOYER'S M OY1 - ER0 Z +MOYERS M OY1 - ER0 Z +MOYES M OY1 Z +MOYL M OY1 L +MOYLAN M OY1 - L AH0 N +MOYLE M OY1 L +MOYNA M OY1 - N AH0 +MOYNAHAN M OY1 - N AH0 - HH AE0 N +MOYNIHAN M OY1 - N IH0 - HH AE0 N +MOYNIHAN'S M OY1 - N IH0 - HH AE0 N Z +MOYSE M OY1 S +MOZAMBICAN M OW2 - Z AE0 M - B IY0 - K AH0 N +MOZAMBICANS M OW2 - Z AE0 M - B IY0 - K AH0 N Z +MOZAMBIQUE M OW2 - Z AE0 M - B IY1 K +MOZAMBIQUE(2) M OW2 - Z AH0 M - B IY1 K +MOZART M OW1 - Z AA0 R T +MOZART'S M OW1 - Z AA0 R T S +MOZART'S(2) M OW1 T - S AA0 R T S +MOZART(2) M OW1 T - S AA0 R T +MOZARTEAN M OW2 - Z AA1 R - T IY0 - AH0 N +MOZARTEAN(2) M OW2 T - Z AA1 R - T IY0 - AH0 N +MOZEE M AA1 - Z IY0 +MOZELLE M AH0 - Z EH1 L +MOZENA M AH0 - Z IY1 - N AH0 +MOZER M OW1 - Z ER0 +MOZER'S M OW1 - Z ER0 Z +MOZINGO M OW0 - Z IY1 NG - G OW0 +MOZLEY M AA1 Z - L IY0 +MPEG EH1 M - P EH2 G +MPG EH1 M - P IY1 - JH IY1 +MPG(2) M AY1 L Z - P ER0 - G AE1 - L AH0 N +MPH EH1 M - P IY1 - EY1 CH +MPH(2) M AY1 L Z - P ER0 - AW1 - ER0 +MR M IH1 - S T ER0 +MR. M IH1 - S T ER0 +MRAZ M R AE1 Z +MRAZEK M R AA1 - Z EH0 K +MRAZIK M R AA1 - Z IH0 K +MROCZEK M R AA1 - CH EH0 K +MROCZKA M R AA1 CH - K AH0 +MROCZKOWSKI M R AH0 CH - K AO1 F S - K IY0 +MROTEK M R OW1 - T EH2 K +MROZ M R AA1 Z +MROZEK M R OW1 - Z EH0 K +MROZINSKI M R AH0 - Z IH1 N - S K IY0 +MRS M IH1 - S IH0 Z +MRS. M IH1 - S IH0 Z +MRUK M R AH1 K +MS M IH1 Z +MS. M IH1 Z +MSGR M AA0 N - S IY1 - N Y ER0 +MSSRS M EH1 - S ER0 Z +MSSRS. M EH1 - S ER0 Z +MT M AW1 N T +MT(2) EH1 M - T IY1 +MTEL EH1 M - T EH2 L +MU M UW1 +MUAMMAR M UW0 - AE1 - M ER0 +MUAVENET M UW2 - AH0 - V EH1 - N IH0 T +MUBARAK M UW0 - B AA1 - R IH0 K +MUBARAK'S M UW0 - B AA1 - R IH0 K S +MUBARAK'S(2) M Y UW0 - B AA1 - R IH0 K S +MUBARAK(2) M Y UW0 - B AA1 - R IH0 K +MUCCI M UW1 - CH IY0 +MUCCIO M UW1 - CH IY0 - OW0 +MUCH M AH1 CH +MUCHA M AH1 - CH AH0 +MUCHMORE M AH1 K - M AO0 R +MUCHNICK M AH1 K - N IH0 K +MUCHOW M AH1 - CH OW0 +MUCK M AH1 K +MUCKENFUSS M AH1 - K AH0 N - F AH2 S +MUCKEY M AH1 - K IY0 +MUCKING M AH1 - K IH0 NG +MUCKLE M AH1 - K AH0 L +MUCKLEROY M AH1 K - L ER0 - OY0 +MUCKLEROY(2) M AH1 - K AH0 L - R OY0 +MUCKRAKE M AH1 K - R EY2 K +MUCKRAKER M AH1 K - R EY2 - K ER0 +MUCKRAKING M AH1 K - R EY2 - K IH0 NG +MUCKY M AH1 - K IY0 +MUCOSA M Y UW0 - K OW1 - S AH0 +MUCOSAL M Y UW0 - K OW1 - S AH0 L +MUCOUS M Y UW1 - K AH0 S +MUCUS M Y UW1 - K AH0 S +MUD M AH1 D +MUDD M AH1 D +MUDDIED M AH1 - D IY0 D +MUDDIER M AH1 - D IY0 - ER0 +MUDDLE M AH1 - 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N IH1 - SH AH0 N Z +MUNIZ M Y UW1 - N IH0 Z +MUNK M AH1 NG K +MUNKRES M AH1 NG - K ER0 Z +MUNLEY M AH1 N - L IY0 +MUNN M AH1 N +MUNNELL M AH1 - N AH0 L +MUNNERLYN M AH0 - N ER1 - L IH0 N +MUNNI M Y UW1 - N IY0 +MUNNI(2) M AH1 - N IY0 +MUNNS M AH1 N Z +MUNOS M UW1 - N OW0 Z +MUNOZ M UW1 - N Y OW0 Z +MUNRO M AH0 N - R OW1 +MUNROE M AH1 N - R OW0 +MUNS M AH1 N Z +MUNSCH M AH1 N SH +MUNSELL M AH1 N - S AH0 L +MUNSEY M AH1 N - Z IY0 +MUNSINGWEAR M AH1 N - S IH0 NG - W EH2 R +MUNSON M AH1 N - S AH0 N +MUNSTER M AH1 N - S T ER0 +MUNSTERMAN M AH1 N - S T ER0 - M AH0 N +MUNT M AH1 N T +MUNTEAN M AH0 N - T IY1 N +MUNTER M AH1 N - T ER0 +MUNTZ M AH1 N T S +MUNYAN M AH1 - N Y AH0 N +MUNYON M AH1 - N Y AH0 N +MUNZ M AH1 N Z +MUNZER M AH1 N - Z ER0 +MUOIO M W OW1 - IY0 - OW0 +MUOLO M W OW1 - L OW0 +MUPPET M AH1 - P AH0 T +MUPPETS M AH1 - P IH0 T S +MURA M UH1 - R AH0 +MURAD M Y UH1 - R AE0 D +MURAI M Y ER0 - AY1 +MURAKAMI M UH0 - R AA0 - K AA1 - M IY0 +MURAL M Y UH1 - R AH0 L +MURALI M ER0 - AA1 - L IY0 +MURALS M Y UH1 - R AH0 L Z +MURAMATSU M UW2 - R AA0 - M AA1 T - S UW2 +MURAMOTO M UH0 - R AA0 - M OW1 - T OW0 +MURANAGA M ER0 - R AH0 - N AA1 - G AH0 +MURANO M UH0 - R AA1 - N OW0 +MURAOKA M UH0 - R AA0 - OW1 - K AH0 +MURASE M Y ER1 - EY0 Z +MURASKI M ER0 - AA1 S - K IY0 +MURASKY M ER0 - AE1 S - K IY0 +MURATA M UH0 - R AA1 - T AH0 +MURATORE M UH0 - R AA0 - T AO1 - R EY0 +MURAVICH M ER1 - AH0 - V IH2 CH +MURAWSKI M ER0 - AA1 F S - K IY0 +MURAYAMA M ER2 - AY0 - AA1 - M AH0 +MURAYAMA'S M ER2 - AY0 - AA1 - M AH0 Z +MURCH M ER1 K +MURCHIE M ER1 - CH IY0 +MURCHINSON M ER1 - CH IH0 N - S AH0 N +MURCHISON M ER1 - CH IH0 - S AH0 N +MURDAUGH M ER1 - D AO0 +MURDEN M ER1 - D AH0 N +MURDER M ER1 - D ER0 +MURDERED M ER1 - D ER0 D +MURDERER M ER1 - D ER0 - ER0 +MURDERER'S M ER1 - D ER0 - ER0 Z +MURDERERS M ER1 - D ER0 - ER0 Z +MURDERING M ER1 - D ER0 - IH0 NG +MURDEROUS M ER1 - D ER0 - AH0 S +MURDERS M ER1 - D ER0 Z +MURDICK M ER1 - D IH0 K +MURDOCH M ER1 - D AA0 K +MURDOCH'S M ER1 - D AA0 K S +MURDOCK M ER1 - D AA0 K +MURDOCK'S M ER1 - D AA0 K S +MURDOCKS M ER1 - D AA0 K S +MURDY M ER1 - D IY0 +MURFF M ER1 F +MURFIN M ER1 - F IH0 N +MURGUIA M UH1 R - G W IY0 - AH0 +MURI M UH1 - R IY0 +MURIAL M Y UH1 - R IY0 - AH0 L +MURIAS M Y UH1 - R IY0 - AH0 S +MURIEL M Y UH1 - R IY0 - AH0 L +MURIHURO M UH2 - R IY0 - HH UH1 - R OW0 +MURIHURO'S M UH2 - R IY0 - HH UH1 - R OW0 Z +MURILLO M AH0 - R IH1 - L OW0 +MURIN M Y UH1 - R IH0 N +MURINE M Y UH1 - R IY2 N +MURJANI M ER0 - JH AA1 - N IY0 +MURK M ER1 K +MURKIER M ER1 - K IY0 - ER0 +MURKOWSKI M ER0 - K AW1 S - K IY0 +MURKY M ER1 - K IY0 +MURLEY M ER1 - L IY0 +MURMANSK M ER0 - M AE0 N S K +MURMUR M ER1 - M ER0 +MURMURED M ER1 - M ER0 D +MURMURING M ER1 - M ER0 - IH0 NG +MURMURS M ER1 - M ER0 Z +MURNAN M ER1 - N AH0 N +MURNANE M ER1 - N AH0 N +MURNIAN M ER1 - N IY0 - AH0 N +MURO M UH1 - R OW0 +MURPH M ER1 F +MURPHEY M ER1 - F IY0 +MURPHREE M ER0 - F R IY1 +MURPHREY M ER1 - F R IY0 +MURPHY M ER1 - F IY0 +MURPHY'S M ER1 - F IY0 Z +MURPHYS M ER1 - F IY0 Z +MURR M ER1 +MURRAH M ER0 - R AA1 +MURRAY M ER1 - IY0 +MURRAY'S M ER1 - IY0 Z +MURRAY(2) M AH1 - R IY0 +MURREE M ER1 - IY0 +MURRELET M ER1 - L IH0 T +MURRELL M AO1 - R AH0 L +MURREN M ER1 - AH0 N +MURREY M ER1 - IY0 +MURRIE M ER1 - IY0 +MURRIETA M UH0 - R IY1 - T AH0 +MURRILL M AO1 - R AH0 L +MURRIN M AO1 - R IH0 N +MURROW M AH1 - R OW0 +MURRY M ER1 - IY0 +MURTAGH M ER1 - T AH0 G +MURTAUGH M ER1 - T AO0 +MURTHA M ER1 - TH AH0 +MURTHY M ER1 - TH IY0 +MURTO M ER1 - T OW2 +MURTON M ER1 - T AH0 N +MURTY M ER1 - T IY0 +MURVEIT M ER0 - V IY1 T +MURZYN M ER1 - Z IH0 N +MUSA M Y UW1 - S AH0 +MUSACCHIO M Y UW2 - S AE1 - K IY0 - OW0 +MUSALO M AH0 - S AA1 - L OW0 +MUSANTE M UW0 - S AA1 N - T IY0 +MUSARRA M UW0 - S AA1 - R AH0 +MUSAVI M Y UW0 - S AA1 - V IY0 +MUSBURGER M AH1 S - B ER0 - G ER0 +MUSCARELLA M UW0 S - K AA0 - R EH1 - L AH0 +MUSCARELLO M UW0 S - K AA0 - R EH1 - L OW0 +MUSCAT M AH1 S - K AE0 T +MUSCATINE M AH1 S - K AH0 - T IY2 N +MUSCATO M UW0 - S K AA1 - T OW0 +MUSCH M AH1 SH +MUSCLE M AH1 - S AH0 L +MUSCLED M AH1 - S AH0 L D +MUSCLES M AH1 - S AH0 L Z +MUSCLING M AH1 - S AH0 - L IH0 NG +MUSCLING(2) M AH1 - S L IH0 NG +MUSCO M UW1 - S K OW0 +MUSCOCHO M AH0 - S K AA1 - CH OW0 +MUSCOVITE M AH1 - S K AH0 - V AY2 T +MUSCOVITES M AH1 - S K AH0 - V AY2 T S +MUSCULAR M AH1 S - K Y AH0 - L ER0 +MUSCULATURE M AH1 S - K Y AH0 - L AH0 - CH ER0 +MUSE M Y UW1 Z +MUSED M Y UW1 Z D +MUSEE M Y UW1 - Z IY1 +MUSES M Y UW1 - Z AH0 Z +MUSES(2) M Y UW1 - Z IH0 Z +MUSEUM M Y UW0 - Z IY1 - AH0 M +MUSEUM'S M Y UW0 - Z IY1 - AH0 M Z +MUSEUM(2) M Y UW1 - Z IY0 - AH0 M +MUSEUMS M Y UW0 - Z IY1 - AH0 M Z +MUSEUMS(2) M Y UW1 - Z IY0 - AH0 M Z +MUSGRAVE M AH1 S - G R AH0 V +MUSGRAVE'S M AH1 S - G R AH0 V Z +MUSGRAVE'S(2) M AH1 S - G R EY0 V Z +MUSGRAVE(2) M AH1 S - G R EY0 V +MUSGROVE M AH1 S - G R AH0 V +MUSH M AH1 SH +MUSHA M Y UW1 - SH AH0 +MUSHA(2) M UW1 - SH AH0 +MUSHER M AH1 - SH ER0 +MUSHERS M AH1 - SH ER0 Z +MUSHROOM M AH1 SH - R UW0 M +MUSHROOMED M AH1 SH - R UH2 M D +MUSHROOMING M AH1 SH - R UH2 - M IH0 NG +MUSHROOMS M AH1 SH - R UW0 M Z +MUSHRUSH M AH1 SH - R AH0 SH +MUSHTAQ M AH1 SH - T AE0 K +MUSHY M AH1 - SH IY0 +MUSIAL M Y UW1 - Z IY0 - AH0 L +MUSIC M Y UW1 - Z IH0 K +MUSIC'S M Y UW1 - Z IH0 K S +MUSICA M Y UW1 - Z IH0 - K AH0 +MUSICA'S M Y UW1 - Z IH0 - K AH0 Z +MUSICAL M Y UW1 - Z IH0 - K AH0 L +MUSICALITY M Y UW2 - Z IH0 - K AE1 - L AH0 - T IY0 +MUSICALLY M Y UW1 - Z IH0 K - L IY0 +MUSICALS M Y UW1 - Z IH0 - K AH0 L Z +MUSICH M Y UW1 - S IH0 K +MUSICIAN M Y UW0 - Z IH1 - SH AH0 N +MUSICIAN'S M Y UW0 - Z IH1 - SH AH0 N Z +MUSICIANS M Y UW0 - Z IH1 - SH AH0 N Z +MUSICIANS' M Y UW0 - Z IH1 - SH AH0 N Z +MUSICIANSHIP M Y UW0 - Z IH1 - SH AH0 N - SH IH0 P +MUSICK M Y UW1 - S IH0 K +MUSICLAND M Y UW1 - Z IH0 - K L AE2 N D +MUSICOLOGIST M Y UW2 - Z IH0 - K AA1 - L AH0 - JH AH0 S T +MUSIDORA M UW0 - S IY0 - D AO1 - R AH0 +MUSIL M UW1 - Z AH0 L +MUSING M Y UW1 - Z IH0 NG +MUSINGS M Y UW1 - Z IH0 NG Z +MUSK M AH1 S K +MUSKA M AH1 S - K AH0 +MUSKE M AH1 S K +MUSKEGON M AH0 S - K IY1 - G IH0 N +MUSKET M AH1 S - K AH0 T +MUSKETEER M AH2 S - K AH0 - T IY1 R +MUSKETEERS M AH2 S - K AH0 - T IY1 R Z +MUSKIE M AH1 S - K IY0 +MUSKIE'S M AH1 S - K IY0 Z +MUSKMELON M AH1 S K - M EH2 - L AH0 N +MUSKOGEE M AH0 S - K OW1 - G IY0 +MUSKOPF M AH1 S K - AO0 P F +MUSKOPF(2) M AH1 S K - AO0 F +MUSKRAT M AH1 S K - R AE2 T +MUSKRATS M AH1 S K - R AE2 T Z +MUSKY M AH1 S - K IY0 +MUSLIM M AH1 - Z L AH0 M +MUSLIM(2) M AH1 - Z L IH0 M +MUSLIMS M AH1 - Z L AH0 M Z +MUSLIMS(2) M AH1 - Z L IH0 M Z +MUSLIN M AH1 - Z L AH0 N +MUSMAN M AH1 S - M AH0 N +MUSOLF M Y UW1 - S OW2 L F +MUSOLINO M UW0 - S OW0 - L IY1 - N OW0 +MUSSCHENBROEK M AH0 S - CH EH1 N - B R OW0 K +MUSSEL M AH1 - S AH0 L +MUSSELL M AH1 - S AH0 L +MUSSELMAN M AH1 - S AH0 L - M AH0 N +MUSSELS M AH1 - S AH0 L Z +MUSSELWHITE M AH1 - S AH0 L - W AY2 T +MUSSER M AH1 - S ER0 +MUSSMAN M AH1 S - M AH0 N +MUSSO M UW1 - S OW0 +MUSSOLINI M UW2 - S OW0 - L IY1 - N IY0 +MUSSOLINI'S M UW2 - S OW0 - L IY1 - N IY0 Z +MUSSON M AH1 - S AH0 N +MUST M AH1 S T +MUST'VE M AH1 - S T IH0 V +MUSTACHE M AH1 - S T AE2 SH +MUSTACHED M AH1 - S T AE2 SH T +MUSTACHES M AH1 - S T AE2 - SH IH0 Z +MUSTACHIO M AH0 - S T AE1 - SH IY0 - OW2 +MUSTACHIOED M AH0 - S T AE1 - SH IY0 - OW2 D +MUSTAFA M UW0 - S T AA1 - F AH0 +MUSTAIN M AH0 - S T EY1 N +MUSTANG M AH1 - S T AE2 NG +MUSTANGS M AH1 - S T AE2 NG Z +MUSTARD M AH1 - S T ER0 D +MUSTARDS M AH1 - S T ER0 D Z +MUSTER M AH1 - S T ER0 +MUSTERED M AH1 - S T ER0 D +MUSTERING M AH1 - S T ER0 - IH0 NG +MUSTERS M AH1 - S T ER0 Z +MUSTIN M AH1 - S T IH0 N +MUSTN'T M AH1 - S AH0 N T +MUSTO M AH1 - S T OW0 +MUSTOE M AH1 - S T OW0 +MUSTON M AH1 - S T AH0 N +MUSTY M AH1 - S T IY0 +MUSUMECI M UW0 - S UW0 - M EH1 - CH IY0 +MUSZYNSKI M AH0 - SH IH1 N - S K IY0 +MUTAGEN M Y UW1 - T AH0 - JH EH0 N +MUTAGENS M Y UW1 - T AH0 - JH EH0 N Z +MUTANT M Y UW1 - T AH0 N T +MUTANTS M Y UW1 - T AH0 N T S +MUTATE M Y UW1 - T EY2 T +MUTATED M Y UW1 - T EY2 - T IH0 D +MUTATING M Y UW1 - T EY0 - T IH0 NG +MUTATION M Y UW0 - T EY1 - SH AH0 N +MUTATIONS M Y UW0 - T EY1 - SH AH0 N Z +MUTCH M AH1 CH +MUTCHLER M AH1 CH - L ER0 +MUTE M Y UW1 T +MUTED M Y UW1 - T IH0 D +MUTERT M Y UW1 - T ER0 T +MUTH M UW1 TH +MUTI M UW1 - T IY2 +MUTI(2) M Y UW1 - T IY0 +MUTILATE M Y UW1 - T AH0 - L EY2 T +MUTILATED M Y UW1 - T AH0 - L EY2 - T AH0 D +MUTILATED(2) M Y UW1 - T AH0 - L EY2 - T IH0 D +MUTILATING M Y UW1 - T AH0 - L EY2 - T IH0 NG +MUTILATION M Y UW2 - T AH0 - L EY1 - SH AH0 N +MUTILATIONS M Y UW2 - T AH0 - L EY1 - SH AH0 N Z +MUTINEER M Y UW2 - T AH0 - N IH1 R +MUTINEERS M Y UW2 - T IH0 - N IH1 R Z +MUTING M Y UW1 - T IH0 NG +MUTINIED M Y UW1 - T AH0 - N IY0 D +MUTINIES M Y UW1 - T AH0 - N IY0 Z +MUTINOUS M Y UW1 - T AH0 - N AH0 S +MUTINY M Y UW1 - T AH0 - N IY0 +MUTLANGEN M AH0 T - L AE1 NG - G AH0 N +MUTSCH M AH1 CH +MUTSCHLER M AH1 CH - L ER0 +MUTT M AH1 T +MUTTER M AH1 - T ER0 +MUTTERED M AH1 - T ER0 D +MUTTERING M AH1 - T ER0 - IH0 NG +MUTTERINGS M AH1 - T ER0 - IH0 NG Z +MUTTERS M AH1 - T ER0 Z +MUTTON M AH1 - T AH0 N +MUTTS M AH1 T S +MUTUAL M Y UW1 - CH AH0 - W AH0 L +MUTUAL'S M Y UW1 - CH AH0 - W AH0 L Z +MUTUALISM M Y UW1 - CH AH0 W - AH0 - L IH2 - Z AH0 M +MUTUALITY M Y UW2 - CH AH0 W - AE1 - L IH0 - T IY0 +MUTUALLY M Y UW1 - CH UW0 - AH0 - L IY0 +MUTZ M AH1 T S +MUTZICH M Y UW1 T - S IH0 CH +MUTZMAN M AH1 T S - M AH0 N +MUTZMAN'S M AH1 T S - M AH0 N Z +MUZAK M Y UW1 - Z AE0 K +MUZIK M Y UW1 - Z IH0 K +MUZIO M Y UW1 - Z IY0 - OW0 +MUZYKA M Y UW0 - Z IH1 - K AH0 +MUZZEY M AH1 - Z IY0 +MUZZLE M AH1 - Z AH0 L +MUZZLED M AH1 - Z AH0 L D +MUZZLES M AH1 - Z AH0 L Z +MUZZY M AH1 - Z IY0 +MWANZA M W AA1 N - Z AH0 +MY M AY1 +MYANMAR M Y AA1 N - M AA1 R +MYANMAR'S M Y AA1 N - M AA1 R Z +MYATT M AY1 - AH0 T +MYCENAEAN M AY2 - S AH0 - N IY1 - AH0 N +MYCOGEN M AY1 - K OW0 - G AH0 N +MYCOLOGY M AY0 - K AA1 - L AH0 - JH IY0 +MYELIN M AY1 - IH0 - L IH0 N +MYER M AY1 - ER0 +MYERS M AY1 - ER0 Z +MYERS'S M AY1 - ER0 - Z IH0 Z +MYERSON M AY1 R - S AH0 N +MYETTE M AY2 - EH1 T +MYHAND M AY1 - HH AE2 N D +MYHRE M IH1 R +MYHREN M IH1 - R AH0 N +MYKLEBUST M IH1 - K AH0 L - B AH0 S T +MYLAN M AY1 - L AH0 N +MYLAR M AY1 - L AA2 R +MYLER M AY1 - L ER0 +MYLES M AY1 L Z +MYLOD M AY1 - L AA0 D +MYNA M AY1 - N AH0 +MYNATT M IH1 - N AH0 T +MYNATT(2) M AY1 - N AH0 T +MYNHIER M IH1 N - HH IY0 - ER0 +MYOCARDIAL M AY2 - AH0 - K AA1 R - D IY0 - AH0 L +MYOCARDIUM M AY2 - AH0 - K AA1 R - D IY0 - AH0 M +MYOJIN M Y OW1 - JH IH2 N +MYOPIA M AY0 - OW1 - P IY0 - AH0 +MYOPIC M AY0 - AA1 - P IH0 K +MYOSCINT M Y AO1 - S IH0 N T +MYOSIN M AY1 - AH0 - S AH0 N +MYOTROPHIN M AY2 - OW0 - T R OW1 - F IH0 N +MYRA M AY1 - R AH0 +MYRE M AY1 R +MYREN M AY1 - R AH0 N +MYREON M AY1 - R IY0 - AH0 N +MYRES M AY1 R Z +MYRIAD M IH1 - R IY0 - AH0 D +MYRIAM M IH1 - R IY0 - AH0 M +MYRICK M AY1 - R IH0 K +MYRILLA M IH0 - R IH1 - L AH0 +MYRLENE M IH0 R - L IY1 N +MYRLIE M IH1 R - L IY0 +MYRMIDON M ER1 - M IH0 - D IH0 N +MYRMIDONS M ER1 - M IH0 - D IH0 N Z +MYRNA M ER1 - N AH0 +MYRON M AY1 - R AH0 N +MYRRH M ER1 +MYRTA M ER1 - T AH0 +MYRTIA M ER1 - SH AH0 +MYRTICE M IH1 R - T IH0 S +MYRTIS M IH1 R - T IH0 S +MYRTLE M ER1 - T AH0 L +MYRTLES M ER1 - T AH0 L Z +MYSELF M AY2 - S EH1 L F +MYSLINSKI M IH0 S - L IH1 N - S K IY0 +MYSLIWIEC M IH0 S - L IH1 - V IY0 K +MYSTERE M IH1 - S T IH2 R +MYSTERIES M IH1 - S T ER0 - IY0 Z +MYSTERIOUS M IH0 - S T IH1 - R IY0 - AH0 S +MYSTERIOUSLY M IH2 - S T IH1 - R IY0 - AH0 S - L IY0 +MYSTERIOUSLY(2) M IH2 - S T IH1 - R Y AH0 S - L IY0 +MYSTERIUM M IH2 - S T IY1 - R IY0 - AH0 M +MYSTERY M IH1 - S T ER0 - IY0 +MYSTIC M IH1 - S T IH0 K +MYSTICAL M IH1 - S T IH0 - K AH0 L +MYSTICISM M IH1 - S T IH0 - S IH2 - Z AH0 M +MYSTICS M IH1 - S T IH0 K S +MYSTIFIED M IH1 - S T AH0 - F AY2 D +MYSTIFIES M IH1 - S T AH0 - F AY2 Z +MYSTIFY M IH1 - S T AH0 - F AY2 +MYSTIFYING M IH1 - S T AH0 - F AY2 - IH0 NG +MYSTIQUE M IH0 - S T IY1 K +MYSZKA M IH1 SH - K AH0 +MYTH M IH1 TH +MYTHIC M IH1 - TH IH0 K +MYTHICAL M IH1 - TH AH0 - K AH0 L +MYTHICAL(2) M IH1 - TH IH0 - K AH0 L +MYTHOLOGICAL M IH2 - TH AH0 - L AA1 - JH IH0 - K AH0 L +MYTHOLOGY M AH0 - TH AA1 - L AH0 - JH IY0 +MYTHS M IH1 TH S +MYUNG M Y AH1 NG +N EH1 N +N'DJAMENA N D Y AH0 - M IY1 - N AH0 +N'DOUR N D AW1 R +N'S EH1 N Z +N. EH1 N +N.'S EH1 N Z +N.S EH1 N Z +N92762 EH1 N - N AY1 N - T UW1 - S EH1 - V AH0 N - S IH1 K S - T UW1 +NA N AA1 +NAAB N AA1 B +NAAS N AA1 Z +NAB N AE1 B +NABB N AE1 B +NABBED N AE1 B D +NABBING N AE1 - B IH0 NG +NABER N EY1 - B ER0 +NABERS N EY1 - B ER0 Z +NABI N AA1 - B IY0 +NABI(2) N EY1 - B IY0 +NABIL N AA0 - B IY1 +NABISCO N AH0 - B IH1 - S K OW0 +NABISCO'S N AH0 - B IH1 - S K OW0 Z +NABLUS N AE1 B - L AH0 S +NABOB N AE1 - B AA0 B +NABOBS N AE1 - B AA0 B Z +NABOKOV N AE1 - B AH0 - K AA2 V +NABOKOV'S N AE1 - B AH0 - K AA2 V Z +NABORS N EY1 - B ER0 Z +NABOZNY N AH0 - B AA1 Z - N IY0 +NACCARATO N AA0 - K ER0 - AA1 - T OW0 +NACCHIO N AE1 - K IY0 - OW0 +NACCO N AE1 - K OW0 +NACE N EY1 S +NACHBAR N AE1 K - B ER0 +NACHMAN N AE1 K - M AH0 N +NACHMANY N AE1 K - M AH0 - N IY0 +NACHO N AE1 - CH OW0 +NACHO(2) N AA1 - CH OW0 +NACHOS N AA1 - CH OW0 Z +NACHOS(2) N AE1 - CH OW0 Z +NACHREINER N AE1 - K R AY0 - N ER0 +NACHTIGAL N AE1 CH - T IH0 - G AH0 L +NACIONAL N EY2 - S IY1 - AH0 - N AH0 L +NACK N AE1 K +NACKE N AE1 K +NACLERIO N AA0 - K L EH1 - R IY0 - OW0 +NACOBRE N AE1 - K AH0 - B R AH0 +NACOGDOCHES N AH0 - K AA1 G - D AH0 - CH IH0 Z +NAD N AE1 D +NADA N AA1 - D AH0 +NADAL N AA0 - D EY0 - AE1 L +NADEAU N AH0 - D OW1 +NADEIN N AH0 - D AY1 N +NADEL N AA0 - D EH1 L +NADELL N AA0 - D EY1 L +NADER N EY1 - D ER0 +NADER'S N EY1 - D ER0 Z +NADERITE N EY1 - D ER0 - AY2 T +NADERITES N EY1 - D ER0 - AY2 T S +NADGWICK N AE1 JH - W IH2 K +NADIA N AE1 - D Y AH0 +NADIA(2) N AA1 - D Y AH0 +NADINE N AH0 - D IY1 N +NADING N EY1 - D IH0 NG +NADIR N EY1 - D ER0 +NADJA N AE1 - D Y AH0 +NADLER N EY1 - D AH0 L - ER0 +NADLER(2) N EY1 D - L ER0 +NADOLNY N AH0 - D OW1 L - N IY0 +NADOLSKI N AH0 - D OW1 L - S K IY0 +NAEF N IY1 F +NAEGELE N EH1 - G AH0 L +NAEGELI N EH1 - G IH0 - L IY0 +NAEGER N EH1 - G ER0 +NAEVE N IY1 V +NAFCO N AE1 F - K OW0 +NAFF N AE1 F +NAFFZIGER N AE1 F - Z IH0 - G ER0 +NAFTA N AE1 F - T AH0 +NAFTA'S N AE1 F - T AH0 Z +NAFTALIS N AE0 F - T AA1 - L IH0 S +NAFZIGER N AE1 F - Z IH0 - G ER0 +NAG N AE1 G +NAGAI N AA0 - G AA1 - IY0 +NAGANO N AA0 - G AA1 - N OW0 +NAGAO N AA0 - G AA1 - OW0 +NAGASAKI N AA2 - G AA0 - S AA1 - K IY0 +NAGATA N AA0 - G AA1 - T AH0 +NAGEL N EY1 - G AH0 L +NAGELE N AE1 - G AH0 L +NAGENGAST N AE1 - G IH0 NG - G AH0 S T +NAGER N EY1 - G ER0 +NAGGED N AE1 G D +NAGGING N AE1 - G IH0 NG +NAGI N AA1 - G IY0 +NAGIN N EY1 - G IH0 N +NAGLE N EY1 - G AH0 L +NAGLER N EY1 - G L ER0 +NAGORNO N AH0 - G AO1 R - N OW0 +NAGORSKI N AH0 - G AO1 R S - K IY0 +NAGOYA N AH0 - G OY1 - AH0 +NAGS N AE1 G Z +NAGY N EY1 - G IY0 +NAGYMAROS N AE2 - JH IH0 - M AA1 - R OW0 S +NAH N AA1 +NAHAS N AA1 - HH AH0 Z +NAHM N AE1 M +NAHM(2) N AA1 M +NAHMIAS N AA1 - M IY0 - AH0 Z +NAHUM N AE1 - HH AH0 M +NAIDOO N EY1 - D UW2 +NAIFY N EY1 - F AY2 +NAIK N EY1 K +NAIL N EY1 L +NAILED N EY1 L D +NAILING N EY1 - L IH0 NG +NAILL N EY1 L +NAILOR N EY1 - L ER0 +NAILS N EY1 L Z +NAIM N AY1 - IH0 M +NAIMAN N EY1 - M AH0 N +NAIR N EH1 R +NAIRA N EH1 - R AH0 +NAIRN N EH1 R N +NAIRNE N EH1 R N +NAIROBI N AY2 - R OW1 - B IY0 +NAISBITT N EY1 S - B IH0 T +NAISBITT(2) N EY1 Z - B IH0 T +NAISH N AA1 - IH0 SH +NAISH(2) N EY1 SH +NAISMITH N EY1 Z - M IH0 TH +NAISMITH(2) N EY1 S - M IH0 TH +NAITO N EY1 - T OW0 +NAIVE N AY2 - IY1 V +NAIVELY N AA0 - IY1 V - L IY0 +NAIVETE N AA0 - IY2 - V AH0 - T EY1 +NAJAR N AA0 - Y AA1 R +NAJARIAN N AH0 - JH EH1 - R IY0 - AH0 N +NAJERA N AA0 - JH EH1 - R AH0 +NAJIB N AH0 - JH IY1 B +NAJIB'S N AH0 - JH IY1 B Z +NAJIBULLAH N AE2 - JH IH0 - B UH1 - L AH0 +NAJIBULLAH'S N AE2 - JH IH0 - B UH1 - L AH0 Z +NAJJAR N AA0 - Y AA1 R +NAKAGAWA N AA0 - K AA0 - G AA1 - W AH0 +NAKAHARA N AA0 - K AA0 - HH AA1 - R AH0 +NAKAI N AA0 - K AA1 - IY0 +NAKAJIMA N AA0 - K AA0 - JH IY1 - M AH0 +NAKAMA N AA0 - K AA1 - M AH0 +NAKAMOTO N AA0 - K AA0 - M OW1 - T OW0 +NAKAMURA N AA0 - K AA0 - M UH1 - R AH0 +NAKANISHI N AA0 - K AA0 - N IY1 - SH IY0 +NAKANO N AA0 - K AA1 - N OW0 +NAKAO N AA0 - K AA1 - OW0 +NAKASHIMA N AA0 - K AA0 - SH IY1 - M AH0 +NAKASONE N AA2 - K AH0 - S OW1 - N IY0 +NAKASONE'S N AA2 - K AH0 - S OW1 - N IY0 Z +NAKATA N AA0 - K AA1 - T AH0 +NAKATANI N AA0 - K AA0 - T AA1 - N IY0 +NAKAYAMA N AA0 - K AA0 - Y AA1 - M AH0 +NAKED N EY1 - K AH0 D +NAKHAMKIN N AE1 - K AE2 M - K IH0 N +NALBANDIAN N AE2 L - B AE1 N - D IY0 - AH0 N +NALBONE N AE1 L - B OW2 N +NALCAP N AE1 L - K AE0 P +NALCO N AE1 L - K OW0 +NALDO N AA1 L - D OW0 +NALE N EY1 L +NALEPA N AH0 - L IY1 - P AH0 +NALL N AO1 L +NALLEY N AE1 - L IY0 +NALLS N AO1 L Z +NALLY N AE1 - L IY0 +NAM N AE1 M +NAMARA N AH0 - M AA1 - R AH0 +NAMBI N AE1 M - B IY0 +NAMBLA N AE1 M - B L AH0 +NAME N EY1 M +NAME'S N EY1 M Z +NAMED N EY1 M D +NAMELESS N EY1 M - L AH0 S +NAMELY N EY1 M - L IY0 +NAMEPLATE N EY1 M - P L EY2 T +NAMEPLATES N EY1 M - P L EY2 T S +NAMER N EY1 - M ER0 +NAMES N EY1 M Z +NAMESAKE N EY1 M - S EY2 K +NAMIBIA N AH0 - M IH1 - B IY0 - AH0 +NAMIBIA'S N AH0 - M IH1 - B IY0 - AH0 Z +NAMIBIAN N AH0 - M IH1 - B IY0 - AH0 N +NAMING N EY1 - M IH0 NG +NAMIS N AE1 - M IH0 S +NAMPHY N AE1 M - F IY0 +NAN N AE1 N +NAN'S N AE1 N Z +NANA N AE1 - N AH0 +NANCARROW N AE2 NG - K AE1 - R OW0 +NANCE N AE1 N S +NANCHANG N AE1 N - CH AE1 NG +NANCY N AE1 N - S IY0 +NANCY'S N AE1 N - S IY0 Z +NANDAIME N AE1 N - D EY2 M +NANDI N AA1 N - D IY0 +NANDITA N AA0 N - D IY1 - T AH0 +NANDO N AE1 N - D OW0 +NANDONET N AE1 N - D OW0 - N EH0 T +NANETTE N AH0 - N EH1 T +NANEZ N AA0 N - EH1 Z +NANG N AE1 NG +NANGAKU N AE2 NG - G AA1 - K UW2 +NANGLE N AE1 NG - G AH0 L +NANIA N AA1 - N IY0 - AH0 +NANJING N AE1 N - JH IH0 NG +NANKAI N AE0 NG - K AY1 +NANKERVIS N AE1 NG - K ER0 - V IH0 S +NANKING N AE1 NG - K IH0 NG +NANNA N AE1 - N AH0 +NANNEY N AE1 - N IY0 +NANNI N AE1 - N IY0 +NANNIES N AE1 - N IY0 Z +NANNINGA N AA0 - N IY1 NG - G AH0 +NANNINI N AA0 - N IY1 - N IY0 +NANNY N AE1 - N IY0 +NANO N AA1 - N OW0 +NANO(2) N AE1 - N OW0 +NANOBABY N AE1 - N OW0 - B EY2 - B IY0 +NANOGRAM N AA1 N - OW0 - G R AE0 M +NANOGRAM(2) N AE1 - N OW0 - G R AE0 M +NANOGRAMS N AE1 - N OW0 - G R AE0 M Z +NANOS N AA1 - N OW0 Z +NANOS(2) N AE1 - N OW0 Z +NANOSECOND N AE1 - N OW0 - S EH2 - K AH0 N D +NANOSECONDS N AE1 - N OW0 - S EH2 - K AH0 N D Z +NANTES N AE1 N T S +NANTUCKET N AE0 N - T AH1 - K IH0 T +NANTUCKET'S N AE2 N - T AH1 - K IH0 T S +NANTZ N AE1 N T S +NAOKI N EY0 - OW1 - K IY0 +NAOMA N AA0 - OW1 - M AH0 +NAOMI N EY0 - OW1 - M IY0 +NAP N AE1 P +NAPA N AE1 - P AH0 +NAPALM N EY1 - P AA0 M +NAPCO N AE1 P - K OW0 +NAPEA N AA1 - P IY0 - AH0 +NAPERVILLE N EY1 - P ER0 - V IH2 L +NAPHTHA N AE1 F - TH AH0 +NAPHTHALENE N AE1 F - TH AH0 - L IY2 N +NAPIER N EY1 - P IY0 - ER0 +NAPIERALA N AA0 - P IH0 - R AA1 - L AH0 +NAPKIN N AE1 P - K IH0 N +NAPKINS N AE1 P - K IH0 N Z +NAPLES N EY1 - P AH0 L Z +NAPOLEON N AH0 - P OW1 - L IY0 - AH0 N +NAPOLEON'S N AH0 - P OW1 - L IY0 - AH0 N Z +NAPOLEON(2) N AH0 - P OW1 - L Y AH0 N +NAPOLEONIC N AH0 - P OW2 - L IY0 - AA1 - N IH0 K +NAPOLES N AE1 - P AH0 L Z +NAPOLETANO N AA0 P - OW0 - L EH0 - T AA1 - N OW0 +NAPOLI N AE1 - P AH0 - L IY0 +NAPOLITAN N AA0 - P OW0 - L IY0 - T AA1 N +NAPOLITANO N AA0 - P OW0 - L IY0 - T AA1 - N OW0 +NAPORA N AA0 - P AO1 - R AH0 +NAPP N AE1 P +NAPPA N AE1 - P AH0 +NAPPED N AE1 P T +NAPPER N AE1 - P ER0 +NAPPI N AE1 - P IY0 +NAPPIER N AE1 - P IY0 - ER0 +NAPPING N AE1 - P IH0 NG +NAPPO N AE1 - P OW0 +NAPROSYN N AE1 - P R AH0 - S IH0 N +NAPS N AE1 P S +NAQUIN N AE1 - K W IH0 N +NAQVI N AE1 K - V IY0 +NAQVI(2) N AA1 K - V IY0 +NARA N AA1 - R AH0 +NARAL N AA1 - R AA0 L +NARAMORE N AA0 R - AA1 - M AO0 R +NARANJA N AA0 - R AA1 - N Y AH0 +NARANJO N AA0 - R AA1 - N Y OW0 +NARASIMHA N AA2 - R AH0 - S IH1 M - HH AA2 +NARASIMHAN N AA2 - R AH0 - S IH1 M - HH AA2 N +NARAYAN N AA0 - R AA1 - Y AA0 N +NARAYANAN N AA2 - R AY0 - AA1 - N AH0 N +NARAZAKI N AA2 - R AA0 - Z AA1 - K IY0 +NARC N AA1 R K +NARCISO N AA0 R - CH IY1 - S OW0 +NARCISSE N AA1 R - S IH0 S +NARCISSISM N AA1 R - S IH0 - S IH2 - Z AH0 M +NARCISSISTIC N AA2 R - S IH0 - S IH1 - S T IH0 K +NARCISSUS N AA0 R - S IH1 - S AH0 S +NARCO N AA1 R - K OW0 +NARCOLEPSY N AA1 R - K AH0 - L EH2 P - S IY0 +NARCOS N AA1 R - K OW0 S +NARCOTIC N AA0 R - K AA1 - T IH0 K +NARCOTICS N AA0 R - K AA1 - T IH0 K S +NARD N AA1 R D +NARDA N AA1 R - D AH0 +NARDELLA N AA2 R - D EH1 - L AH0 +NARDELLI N AA0 R - D EH1 - L IY0 +NARDI N AA1 R - D IY0 +NARDIELLO N AA0 R - D IY0 - EH1 - L OW0 +NARDINI N AA0 R - D IY1 - N IY0 +NARDO N AA1 R - D OW0 +NARDONE N AA0 R - D OW1 - N IY0 +NARDOZZI N AA0 R - D OW1 T - S IY0 +NARDUCCI N AA0 R - D UW1 - CH IY0 +NARES N AE1 R Z +NARITA N EH0 - R IY1 - T AH0 +NARJES N AA1 - R Y AH0 S +NARLIKAR N AA1 R - L IH0 - K AA2 R +NARLOCK N AA1 R - L AH0 K +NARLY N AA1 R - L IY0 +NARO N AA1 - R OW0 +NARODNY N ER0 - AA1 D - N IY0 +NARON N AA0 - R AO1 N +NARRAGANSETT N EH2 - R AH0 - G AE1 N - S AH0 T +NARRAMORE N AA0 R - AA1 - M AO0 R +NARRATE N EH1 - R EY2 T +NARRATED N EH1 - R EY2 - T IH0 D +NARRATES N EH0 - R EY1 T S +NARRATES(2) N EH1 - R EY0 T S +NARRATION N EH0 - R EY1 - SH AH0 N +NARRATIVE N AE1 - R AH0 - T IH0 V +NARRATIVE(2) N EH1 - R AH0 - T IH0 V +NARRATIVES N AE1 - R AH0 - T IH0 V Z +NARRATIVES(2) N EH1 - R AH0 - T IH0 V Z +NARRATOR N EH1 - R EY0 - T ER0 +NARRATORS N EH1 - R EY2 - T ER0 Z +NARRON N AE1 - R AH0 N +NARROW N EH1 - R OW0 +NARROW(2) N AE1 - R OW0 +NARROWED N EH1 - R OW0 D +NARROWER N EH1 - R OW0 - ER0 +NARROWEST N EH1 - R OW0 - AH0 S T +NARROWING N EH1 - R OW0 - IH0 NG +NARROWLY N EH1 - R OW0 - L IY0 +NARROWNESS N EH1 - R OW0 - N AH0 S +NARROWS N EH1 - R OW0 Z +NARS N AA1 R Z +NARUHITO N AA0 - R UW0 - HH IY1 - T OW0 +NARUM N ER0 - AH1 M +NARVAEZ N AA0 R - V AA1 - EH0 Z +NARVESON N AA1 R - V IH0 - S AH0 N +NARY N EH1 - R IY0 +NASA N AE1 - S AH0 +NASA'S N AE1 - S AH0 Z +NASAL N EY1 - Z AH0 L +NASALLY N EY1 - Z AH0 - L IY0 +NASBY N AE1 S - B IY0 +NASCA N AA1 S - K AH0 +NASCAR N AE1 - S K AA2 R +NASCENT N EY1 - S AH0 N T +NASCIMENTO N AE2 - S IH0 - M EH1 N - T OW0 +NASCO N AE1 - S K OW0 +NASDAQ N AE1 Z - D AE0 K +NASDAQ'S N AE1 Z - D AE0 K S +NASE N EY1 Z +NASER N EY1 - Z ER0 +NASH N AE1 SH +NASH'S N AE1 - SH IH0 Z +NASHASHIBI N AE2 - SH AH0 - SH IY1 - B IY0 +NASHBURG N AE1 SH - B ER0 G +NASHBURG'S N AE1 SH - B ER0 G Z +NASHNAMIE N AE1 SH - N AH0 - M IY0 +NASHUA N AE1 - SH UW0 - AH0 +NASHUA'S N AE1 - SH UW0 - AH0 Z +NASHVILLE N AE1 SH - V IH0 L +NASHVILLE'S N AE1 SH - V IH2 L Z +NASIONAL N AE2 - S IY0 - AH0 - N AE1 L +NASLUND N AE1 S - L AH0 N D +NASO N AA1 - S OW0 +NASON N AE1 - S AH0 N +NASONS N AE1 - S AH0 N Z +NASOPHARYNX N AH0 - S AA1 - F ER0 - IH0 NG K S +NASR N AA1 - S ER0 +NASS N AE1 S +NASSAR N AE1 - S ER0 +NASSAU N AE1 - S AO0 +NASSER N AE1 - S ER0 +NASSIF N AE1 - S IH0 F +NAST N AE1 S T +NAST'S N AE1 S T S +NASTA N AE1 - S T AH0 +NASTASI N AA0 - S T AA1 - S IY0 +NASTIER N AE1 - S T IY0 - ER0 +NASTIEST N AE1 - S T IY0 - AH0 S T +NASTINESS N AE1 - S T IY0 - N AH0 S +NASTY N AE1 - S T IY0 +NASWORTHY N AE1 S - W ER0 - DH IY0 +NAT N AE1 T +NATA N AA1 - T AH0 +NATAL N EY1 - T AH0 L +NATAL(2) N AH0 - T AA1 L +NATALA N AA0 - T AA1 - L AH0 +NATALE N AA0 - T AA1 - L IY0 +NATALI N AA0 - T AA1 - L IY0 +NATALIA N AH0 - T AA1 - L Y AH0 +NATALIE N AE1 - T AH0 - L IY0 +NATALLE N AH0 - T AA1 - L EY0 +NATALLE'S N AH0 - T AA1 - L EY0 Z +NATAN N EY1 - T AH0 N +NATASHA N AH0 - T AA1 - SH AH0 +NATASHA'S N AH0 - T AA1 - SH AH0 Z +NATASHA'S(2) N AH0 - T AE1 - SH AH0 Z +NATASHA(2) N AH0 - T AE1 - SH AH0 +NATCHER N AE1 - CH ER0 +NATCHEZ N AE1 - CH EH2 Z +NATCHEZ' N AE1 - CH EH2 Z +NATCHEZ'S N AE1 - CH EH2 - Z IH0 Z +NATE N EY1 T +NATEC'S N EY1 - T EH2 K S +NATH N AE1 TH +NATHALIA N AH0 - TH AE1 - L IY0 - AH0 +NATHALIE N AE1 - T AH0 - L IY0 +NATHAN N EY1 - TH AH0 N +NATHAN'S N EY1 - TH AH0 N Z +NATHANAEL N AE1 - TH AH0 - N EY2 L +NATHANIA N AH0 - TH AE1 - N IY0 - AH0 +NATHANIEL N AH0 - TH AE1 - N Y AH0 L +NATHANSON N AE1 - TH AH0 N - S AH0 N +NATHE N EY1 DH +NATHENE N AH0 - TH IY1 N +NATICK N EY1 - T IH0 K +NATION N EY1 - SH AH0 N +NATION'S N EY1 - SH AH0 N Z +NATIONAIR N EY1 - SH AH0 - N EH1 R +NATIONAL N AE1 - SH AH0 - N AH0 L +NATIONAL'S N AE1 - SH AH0 - N AH0 L Z +NATIONAL'S(2) N AE1 SH - N AH0 L Z +NATIONAL(2) N AE1 SH - N AH0 L +NATIONALE N AE1 - SH AH0 - N AE2 - L EY0 +NATIONALE(2) N AE1 - SH AH0 - N AH0 L +NATIONALES N AE2 - SH AH0 - N AA1 - L EH0 S +NATIONALISM N AE1 - SH AH0 N - AH0 - L IH2 - Z AH0 M +NATIONALIST N AE1 - SH AH0 N - AH0 - L AH0 S T +NATIONALIST(2) N AE1 - SH AH0 N - AH0 - L IH0 S T +NATIONALIST(3) N AE1 SH - N AH0 - L AH0 S T +NATIONALIST(4) N AE1 SH - N AH0 - L IH0 S T +NATIONALISTIC N AE2 - SH AH0 N - AH0 - L IH1 - S T IH0 K +NATIONALISTIC(2) N AE2 SH - N AH0 - L IH1 - S T IH0 K +NATIONALISTS N AE1 - SH AH0 N - AH0 - L IH0 S T S +NATIONALISTS(2) N AE1 - SH AH0 N - AH0 - L IH0 S S +NATIONALISTS(3) N AE1 SH - N AH0 - L IH0 S T S +NATIONALISTS(4) N AE1 SH - N AH0 - L IH0 S S +NATIONALISTS(5) N AE1 - SH AH0 N - AH0 - L IH0 S +NATIONALISTS(6) N AE1 SH - N AH0 - L IH0 S +NATIONALITIES N AE2 - SH AH0 - N AE1 - L IH0 - T IY0 Z +NATIONALITY N AE2 - SH AH0 - N AE1 - L AH0 - T IY0 +NATIONALITY(2) N AE2 - SH AH0 - N AE1 - L IH0 - T IY0 +NATIONALIZATION N AE2 - SH AH0 N - AH0 - L AH0 - Z EY1 - SH AH0 N +NATIONALIZATION(2) N AE2 SH - N AH0 - L AH0 - Z EY1 - SH AH0 N +NATIONALIZATIONS N AE2 - SH AH0 N - AH0 - L AH0 - Z EY1 - SH AH0 N Z +NATIONALIZATIONS(2) N AE2 SH - N AH0 - L AH0 - Z EY1 - SH AH0 N Z +NATIONALIZE N AE1 - SH AH0 N - AH0 - L AY2 Z +NATIONALIZE(2) N AE1 SH - N AH0 - L AY2 Z +NATIONALIZED N AE1 - SH AH0 N - AH0 - L AY2 Z D +NATIONALIZED(2) N AE1 SH - N AH0 - L AY2 Z D +NATIONALIZING N AE1 - SH AH0 N - AH0 - L AY2 - Z IH0 NG +NATIONALIZING(2) N AE1 SH - N AH0 - L AY2 - Z IH0 NG +NATIONALLY N AE1 - SH AH0 N - AH0 - L IY0 +NATIONALLY(2) N AE1 SH - N AH0 - L IY0 +NATIONALS N AE1 - SH AH0 - N AH0 L Z +NATIONALS(2) N AE1 SH - N AH0 L Z +NATIONHOOD N EY1 - SH AH0 N - HH UH2 D +NATIONS N EY1 - SH AH0 N Z +NATIONS' N EY1 - SH AH0 N Z +NATIONSBANC N EY1 - SH AH0 N Z - B AE2 NG K +NATIONSBANC'S N EY1 - SH AH0 N Z - B AE2 NG K +NATIONSBANC'S(2) N EY1 - SH AH0 N Z - B AA2 NG K +NATIONSBANC(2) N EY1 - SH AH0 N Z - B AA2 NG K +NATIONSBANK N EY1 - SH AH0 N Z - B AE2 NG K +NATIONSBANK'S N EY1 - SH AH0 N Z - B AE2 NG K S +NATIONWIDE N EY1 - SH AH0 N - W AY1 D +NATIONWIDE'S N EY1 - SH AH0 N - W AY1 D Z +NATIVE N EY1 - T IH0 V +NATIVES N EY1 - T IH0 V Z +NATIVIDAD N AH0 - T IH0 - V IH0 - D AA1 D +NATIVISM N EY1 - T IH0 - V IH2 - Z AH0 M +NATIVIST N EY1 - T IH0 - V IH2 S T +NATIVITY N AH0 - T IH1 - V AH0 - T IY0 +NATO N EY1 - T OW0 +NATO'S N EY1 - T OW0 Z +NATOLI N AA0 - T OW1 - L IY0 +NATOMAS N EY2 - T OW1 - M AH0 Z +NATS N AE1 T S +NATSIOS N AE1 T - S IY0 - OW0 S +NATTER N AE1 - T ER0 +NATTERING N AE1 - T ER0 - IH0 NG +NATTIE N AE1 - T IY0 +NATTILY N AE1 - T AH0 - L IY0 +NATTY N AE1 - T IY0 +NATUNA N AH0 - T UW1 - N AH0 +NATURAL N AE1 - CH ER0 - AH0 L +NATURAL'S N AE1 - CH ER0 - AH0 L Z +NATURAL'S(2) N AE1 - CH R AH0 L Z +NATURAL(2) N AE1 - CH R AH0 L +NATURALISM N AE1 - CH ER0 - AH0 - L IH2 - Z AH0 M +NATURALISM(2) N AE1 - CH R AH0 - L IH2 - Z AH0 M +NATURALIST N AE1 - CH ER0 - AH0 - L AH0 S T +NATURALIST(2) N AE1 - CH R AH0 - L AH0 S T +NATURALISTIC N AE2 - CH ER0 - AH0 - L IH1 - S T IH0 K +NATURALISTIC(2) N AE2 - CH R AH0 - L IH1 - S T IH0 K +NATURALISTS N AE1 - CH ER0 - AH0 - L IH0 S T S +NATURALISTS(2) N AE1 - CH ER0 - AH0 - L IH0 S S +NATURALISTS(3) N AE1 - CH R AH0 - L IH0 S T S +NATURALISTS(4) N AE1 - CH R AH0 - L IH0 S S +NATURALISTS(5) N AE1 - CH ER0 - AH0 - L IH0 S +NATURALISTS(6) N AE1 - CH R AH0 - L IH0 S +NATURALIZATION N AE1 - CH ER0 - AH0 - L AH0 - Z EY1 - SH AH0 N +NATURALIZATION(2) N AE1 - CH R AH0 - L AH0 - Z EY1 - SH AH0 N +NATURALIZE N AE1 - CH ER0 - AH0 - L AY2 Z +NATURALIZE(2) N AE1 - CH R AH0 - L AY2 Z +NATURALIZED N AE1 - CH ER0 - AH0 - L AY2 Z D +NATURALIZED(2) N AE1 - CH R AH0 - L AY2 Z D +NATURALLY N AE1 - CH ER0 - AH0 - L IY0 +NATURALLY(2) N AE1 - CH R AH0 - L IY0 +NATURE N EY1 - CH ER0 +NATURE'S N EY1 - CH ER0 Z +NATURED N EY1 - CH ER0 D +NATUREDLY N EY1 - CH ER0 D - L IY0 +NATURES N EY1 - CH ER0 Z +NATWEST N AE2 T - W EH1 S T +NATWEST'S N AE2 T - W EH1 S T S +NATZKE N AE1 T S - K IY0 +NAU N OW1 +NAUER N AW1 - ER0 +NAUERT N AW1 - ER0 T +NAUGATUCK N AO1 - G AH0 - T AH2 K +NAUGHT N AO1 T +NAUGHTON N AO1 - T AH0 N +NAUGHTY N AO1 - T IY0 +NAUGLE N AO1 - G AH0 L +NAUGLES N AO1 - G AH0 L Z +NAULT N AO1 L T +NAUMAN N AW1 - M AH0 N +NAUMANN N AW1 - M AH0 N +NAUS N AO1 Z +NAUSEA N AO1 - Z IY0 - AH0 +NAUSEAM N AW1 - Z IY2 M +NAUSEATE N AO1 - Z IY0 - EY2 T +NAUSEATED N AO1 - Z IY0 - EY2 - T AH0 D +NAUSEATING N AO1 - ZH IY0 - EY2 - T IH0 NG +NAUSEOUS N AO1 - SH AH0 S +NAUSS N AO1 S +NAUTA N AA0 - UW1 - T AH0 +NAUTICAL N AO1 - T AH0 - K AH0 L +NAUTILUS N AO1 - T AH0 - L AH0 S +NAUTILUS'S N AO1 - T AH0 - L AH0 - S IH0 Z +NAV N AE1 V +NAVA N AA1 - V AH0 +NAVAJO N AA1 - V AH0 - HH OW2 +NAVAJO(2) N AE1 - V AH0 - HH OW2 +NAVAJOS N AA1 - V AH0 - HH OW2 Z +NAVAJOS(2) N AE1 - V AH0 - HH OW2 Z +NAVAL N EY1 - V AH0 L +NAVAR N AA0 - V AA1 R +NAVARETTE N AE1 - V ER0 - EH2 T +NAVARRA N AA0 - V AA1 - R AH0 +NAVARRE N AA0 - V AA1 R +NAVARRETE N AE1 - V ER0 - IY2 T +NAVARRETTE N AE1 - V ER0 - EH2 T +NAVARRO N AH0 - V AA1 - R OW0 +NAVAS N AA1 - V AH0 S +NAVCOM N AE1 V - K AA2 M +NAVE N EY1 V +NAVEL N EY1 - V AH0 L +NAVELLIER N AH0 - V EH1 L - Y ER0 +NAVICKAS N AA0 - V IY1 - K AA0 Z +NAVIES N EY1 - V IY0 Z +NAVIGABLE N AE1 - V AH0 - G AH0 - B AH0 L +NAVIGATE N AE1 - V AH0 - G EY2 T +NAVIGATED N AE1 - V AH0 - G EY2 - T IH0 D +NAVIGATING N AE1 - V AH0 - G EY2 - T IH0 NG +NAVIGATION N AE1 - V AH0 - G EY1 - SH AH0 N +NAVIGATION(2) N AE2 - V AH0 - G EY1 - SH AH0 N +NAVIGATIONAL N AE2 - V AH0 - G EY1 - SH AH0 - N AH0 L +NAVIGATOR N AE1 - V AH0 - G EY2 - T ER0 +NAVIGATORS N AE1 - V AH0 - G EY2 - T ER0 Z +NAVIN N AA0 - V IY1 N +NAVIN-CHANDR N AA1 - V IH2 N - CH AA1 N - D ER0 +NAVIN-CHANDRA N AA1 - V IH2 N - CH AA1 N - D R AH0 +NAVIS N AA1 - V IH0 S +NAVISTAR N AE1 - V IH0 - S T AA2 R +NAVLAB N AE1 V - L AE0 B +NAVRATILOVA N AE0 - V R AE2 - T IH0 - L OW1 - V AH0 +NAVRATILOVA'S N AE0 - V R AE2 - T IH0 - L OW1 - V AH0 Z +NAVSTAR N AE1 V - S T AA2 R +NAVY N EY1 - V IY0 +NAVY'S N EY1 - V IY0 Z +NAW N AA1 +NAWROCKI N AA0 - V R OW1 T S - K IY0 +NAWROT N AO1 - R AH0 T +NAY N EY1 +NAYDEN N EY1 - D IH0 N +NAYLOR N EY1 - L ER0 +NAYS N EY1 Z +NAYSAYER N EY2 - S EY1 - ER0 +NAYSAYERS N EY2 - S EY1 - ER0 Z +NAYYAR N EY1 - Y AA2 R +NAZAR N AA0 - Z AA1 R +NAZARBAYEV N AA2 - Z AH0 R - B AY1 - Y EH0 V +NAZARETH N AE1 - Z AH0 - R IH0 TH +NAZARIAN N AH0 - Z EH1 - R IY0 - AH0 N +NAZARIO N AA0 - Z AA1 - R IY0 - OW0 +NAZER N EY1 - Z ER0 +NAZER'S N EY1 - Z ER0 Z +NAZI N AA1 T - S IY0 +NAZI'S N AA1 T - S IY0 Z +NAZIONALE N AA0 T - S IY0 - OW0 - N AA1 - L IY0 +NAZIS N AA1 T - S IY0 Z +NAZISM N AE1 - Z IH0 - Z AH0 M +NAZZARO N AA0 T - S AA1 - R OW0 +NDAU EH0 N - D AW1 +NE N IY1 +NE'ER N EH1 R +NE(2) N AO2 R TH - IY1 S T +NE(3) EH1 - N IY1 +NE(4) N EY1 +NEACE N IY1 S +NEAD N IY1 D +NEAGLE N IY1 - G AH0 L +NEAL N IY1 L +NEAL'S N IY1 L Z +NEALA N IY1 - L AH0 +NEALE N IY1 L +NEALEY N IY1 - L IY0 +NEALIS N IY1 - L IH0 S +NEALL N IY1 L +NEALON N IY1 - L AH0 N +NEALSON N IY1 L - S AH0 N +NEALY N IY1 - L IY0 +NEANDERTHAL N IY0 - AE1 N - D ER0 - TH AO2 L +NEANDERTHALS N IY0 - AE1 N - D ER0 - TH AO2 L Z +NEAPOLITAN N IY2 - AH0 - P AA1 - L AH0 - T AH0 N +NEAR N IH1 R +NEARBY N IH1 R - B AY1 +NEARED N IH1 R D +NEARER N IH1 - R ER0 +NEAREST N IH1 - R AH0 S T +NEARHOOD N IH1 R - HH UH0 D +NEARING N IH1 - R IH0 NG +NEARLY N IH1 R - L IY0 +NEARS N IH1 R Z +NEARSIGHTED N IY1 R - S AY2 - T IH0 D +NEARSIGHTEDNESS N IY1 R - S AY2 - T IH0 D - N AH0 S +NEARY N IH1 - R IY0 +NEAS N IY1 Z +NEASE N IY1 Z +NEAT N IY1 T +NEATER N IY1 - T ER0 +NEATEST N IY1 - T AH0 S T +NEATHERY N EH1 - TH ER0 - IY0 +NEATLY N IY1 T - L IY0 +NEATNESS N IY1 T - N AH0 S +NEAULT N OW1 +NEAVE N IY1 V +NEAVES N IY1 V Z +NEBEKER N EH1 - B IH0 - K ER0 +NEBEL N EH1 - B AH0 L +NEBERGALL N IY1 - B ER0 - G AH0 L +NEBLETT N EH1 - B L IH0 T +NEBRASKA N AH0 - B R AE1 S - K AH0 +NEBRASKA'S N AH0 - B R AE1 S - K AH0 Z +NEBRASKAN N AH0 - B R AE1 S - K AH0 N +NEBRASKANS N AH0 - B R AE1 S - K AH0 N Z +NEBULA N EH1 - B Y AH0 - L AH0 +NEBULOUS N EH1 - B Y AH0 - L AH0 S +NEC N EH1 K +NECAISE N EH1 - K AY0 S +NECCI N EH1 - CH IY0 +NECESSARILY N EH2 - S AH0 - S EH1 - R AH0 - L IY0 +NECESSARY N EH1 - S AH0 - S EH2 - R IY0 +NECESSITATE N AH0 - S EH1 - S AH0 - T EY2 T +NECESSITATED N AH0 - S EH1 - S AH0 - T EY2 - T AH0 D +NECESSITATES N AH0 - S EH1 - S AH0 - T EY2 T S +NECESSITATING N AH0 - S EH1 - S IH0 - T EY2 - T IH0 NG +NECESSITIES N AH0 - S EH1 - S IH0 - T IY0 Z +NECESSITY N AH0 - S EH1 - S AH0 - T IY0 +NECESSITY(2) N AH0 - S EH1 - S IH0 - T IY0 +NECHAYEV N EH2 - CH AY1 - EH0 V +NECHYBA N EH2 - CH IY1 - B AH0 +NECK N EH1 K +NECKED N EH1 K T +NECKER N EH1 - K ER0 +NECKLACE N EH1 K - L AH0 S +NECKLACES N EH1 K - L AH0 - S IH0 Z +NECKLACING N EH1 K - L AH0 - S IH0 NG +NECKS N EH1 K S +NECKTIE N EH1 K - T AY2 +NECKTIES N EH1 K - T AY2 Z +NECKWEAR N EH1 K - W EH2 R +NECO N IY1 - K OW0 +NECO'S N IY1 - K OW0 Z +NECROMANCY N EH1 - K R AH0 - M AE2 N - S IY0 +NECROPOLIS N AH0 - K R AA1 - P AH0 - L AH0 S +NECROSIS N AH0 - K R OW1 - S AH0 S +NECTAR N EH1 K - T ER0 +NECULA N EH1 - K Y UW0 - L AH0 +NED N EH1 D +NED'S N EH1 D Z +NEDA N EY1 - D AH0 +NEDD N EH1 D +NEDDA N EH1 - D AH0 +NEDDICK N EH1 - D IH0 K +NEDDO N EH1 - D OW0 +NEDEAU N IH0 - D OW1 +NEDERLAND N EH1 - D ER0 - L AH0 N D +NEDERLANDEN N EH1 - D ER0 - L AE2 N - D AH0 N +NEDERLANDER N EH1 - D ER0 - L AE2 N - D ER0 +NEDERLANDSCHE N EH2 - D ER0 - L AE1 N D - SH IY0 +NEDERLANDSE N EH2 - D ER0 - L AE1 N D - S IY0 +NEDLLOYD N EH1 - D AH0 - L OY2 D +NEDLLOYD(2) N EH1 D - L OY2 D +NEDROW N EH1 D - R OW0 +NEDVED N EH1 D - V AH0 D +NEDVED(2) N EH1 D - V EH2 D +NEE N IY1 +NEEB N IY1 B +NEECE N IY1 S +NEECO N IY1 - K OW0 +NEED N IY1 D +NEEDED N IY1 - D AH0 D +NEEDED(2) N IY1 - D IH0 D +NEEDELMAN N IY1 - D AH0 L - M AH0 N +NEEDFUL N IY1 D - F AH0 L +NEEDHAM N IY1 - D AH0 M +NEEDHAM'S N IY1 - D AH0 M Z +NEEDIEST N IY1 - D IY0 - IH0 S T +NEEDING N IY1 - D IH0 NG +NEEDLE N IY1 - D AH0 L +NEEDLED N IY1 - D AH0 L D +NEEDLEFISH N IY1 - D AH0 L - F IH2 SH +NEEDLELIKE N IY1 - D AH0 L - L AY2 K +NEEDLEMAN N IY1 - D AH0 L - M AH0 N +NEEDLEPOINT N IY1 - D AH0 L - P OY2 N T +NEEDLER N IY1 - D AH0 - L ER0 +NEEDLER(2) N IY1 D - L ER0 +NEEDLES N IY1 - D AH0 L Z +NEEDLESS N IY1 D - L AH0 S +NEEDLESSLY N IY1 D - L AH0 S - L IY0 +NEEDLEWORK N IY1 - D AH0 L - W ER2 K +NEEDLING N IY1 D - L IH0 NG +NEEDN'T N IY1 - D AH0 N T +NEEDS N IY1 D Z +NEEDY N IY1 - D IY0 +NEEF N IY1 F +NEEL N IY1 L +NEELD N IY1 L D +NEELEY N IY1 - L IY0 +NEELS N IY1 L Z +NEELY N IY1 - L IY0 +NEEMAN N IY1 - M AH0 N +NEENAN N IY1 - N AH0 N +NEEPER N IY1 - P ER0 +NEER N IH1 R +NEES N IY1 Z +NEESE N IY1 Z +NEESON N IY1 - S AH0 N +NEET N IY1 T +NEFARIOUS N AH0 - F EH1 - R IY0 - AH0 S +NEFF N EH1 F +NEFT N EH1 F T +NEFTEGORSK N EH1 F - T IH0 - G AO2 R S K +NEG N EH1 G +NEGARA N EH0 - G AA1 - R AH0 +NEGATE N IH0 - G EY1 T +NEGATED N IY1 - G EY0 - T IH0 D +NEGATED(2) N IH0 - G EY1 - T AH0 D +NEGATES N IH0 - G EY1 T S +NEGATING N IH0 - G EY1 - T IH0 NG +NEGATION N AH0 - G EY1 - SH AH0 N +NEGATIVE N EH1 - G AH0 - T IH0 V +NEGATIVELY N EH1 - G AH0 - T IH0 V - L IY0 +NEGATIVES N EH1 - G AH0 - T IH0 V Z +NEGATIVISM N EH1 - G AH0 - T IH0 - V IH2 - Z AH0 M +NEGATIVITY N EH2 - G AH0 - T IH1 - V AH0 - T IY0 +NEGATRON N EH1 - G AH0 - T R AA0 N +NEGATRONS N EH1 - G AH0 - T R AA0 N Z +NEGENT N EH1 - G AH0 N T +NEGENT(2) N EH1 - JH AH0 N T +NEGEV N EH1 - G EH2 V +NEGLECT N AH0 - G L EH1 K T +NEGLECT(2) N IH0 - G L EH1 K T +NEGLECTED N AH0 - G L EH1 K - T AH0 D +NEGLECTED(2) N IH0 - G L EH1 K - T IH0 D +NEGLECTFUL N IH0 - G L EH1 K T - F AH0 L +NEGLECTING N IH0 - G L EH1 K - T IH0 NG +NEGLECTS N IH0 - G L EH1 K T S +NEGLEY N EH1 G - L IY0 +NEGLIA N EH1 G - L IY0 - AH0 +NEGLIGENCE N EH1 G - L AH0 - JH AH0 N S +NEGLIGENCE(2) N EH1 G - L IH0 - JH AH0 N S +NEGLIGENT N EH1 G - L AH0 - JH AH0 N T +NEGLIGENT(2) N EH1 G - L IH0 - JH AH0 N T +NEGLIGENTLY N EH1 G - L IH0 - JH AH0 N T - L IY0 +NEGLIGIBLE N EH1 G - L AH0 - JH AH0 - B AH0 L +NEGLIGIBLE(2) N EH1 G - L IH0 - JH AH0 - B AH0 L +NEGOTIABLE N AH0 - G OW1 - SH AH0 - B AH0 L +NEGOTIATE N AH0 - G OW1 - SH IY0 - EY2 T +NEGOTIATE(2) N IH0 - G OW1 - SH IY0 - EY2 T +NEGOTIATED N AH0 - G OW1 - SH IY0 - EY2 - T AH0 D +NEGOTIATED(2) N IH0 - G OW1 - SH IY0 - EY2 - T IH0 D +NEGOTIATES N IH0 - G OW1 - SH IY0 - EY2 T S +NEGOTIATING N IH0 - G OW1 - SH IY0 - EY2 - T IH0 NG +NEGOTIATION N IH0 - G OW2 - SH IY0 - EY1 - SH AH0 N +NEGOTIATIONS N AH0 - G OW2 - SH IY0 - EY1 - SH AH0 N Z +NEGOTIATIONS(2) N IH0 - G OW2 - SH IY0 - EY1 - SH AH0 N Z +NEGOTIATOR N AH0 - G OW1 - SH IY0 - EY2 - T ER0 +NEGOTIATOR'S N IH0 - G OW1 - SH IY0 - EY2 - T ER0 Z +NEGOTIATOR(2) N IH0 - G OW1 - SH IY0 - EY2 - T ER0 +NEGOTIATORS N IH0 - G OW1 - SH IY0 - EY2 - T ER0 Z +NEGOTIATORS' N AH0 - G OW1 - SH IY0 - EY2 - T ER0 Z +NEGRETE N EH1 - G R IY2 T +NEGRI N EH1 - G R IY0 +NEGRIN N EH1 - G R IH0 N +NEGRO N IY1 - G R OW0 +NEGROES N IY1 - G R OW0 Z +NEGROID N IY1 - G R OY0 D +NEGRON N EH1 - G R AH0 N +NEGRONI N EH2 - G R OW1 - N IY0 +NEGROS N IY1 - G R OW0 Z +NEGS N EH1 G Z +NEGUS N IY1 - G AH0 S +NEHEMIAH N IY2 - AH0 - M AY1 - AH0 +NEHER N EY1 - ER0 +NEHLS N EH1 L Z +NEHRING N EH1 - R IH0 NG +NEHRU N EY1 - R UW2 +NEIBAUER N AY1 - B AW0 - ER0 +NEIBERT N IY1 - B ER0 T +NEICE N IY1 S +NEIDER N IY1 - D ER0 +NEIDHARDT N AY1 D - HH AA0 R T +NEIDHART N AY1 D - HH AA0 R T +NEIDIGH N IY1 - D AY2 +NEIDL N IY1 - D AH0 L +NEIDLINGER N AY1 - D AH0 L - IH0 - NG ER0 +NEIDLINGER(2) N IY1 D - L IH0 - NG ER0 +NEIER N AY1 - ER0 +NEIFERT N IY1 - F ER0 T +NEIGER N AY1 - G ER0 +NEIGHBOR N EY1 - B ER0 +NEIGHBOR'S N EY1 - B ER0 Z +NEIGHBORHOOD N EY1 - B ER0 - HH UH2 D +NEIGHBORHOOD'S N EY1 - B ER0 - HH UH2 D Z +NEIGHBORHOODS N EY1 - B ER0 - HH UH2 D Z +NEIGHBORING N EY1 - B ER0 - IH0 NG +NEIGHBORLY N EY1 - B ER0 - L IY0 +NEIGHBORS N EY1 - B ER0 Z +NEIGHBORS' N EY1 - B ER0 Z +NEIGHMOND N EY1 - M AH0 N D +NEIGHMOND'S N EY1 - M AH0 N D Z +NEIKIRK N IY1 - K ER0 K +NEIL N IY1 L +NEIL'S N IY1 L Z +NEILAN N IY1 - L AH0 N +NEILD N IY1 L D +NEILE N IY1 L +NEILL N IY1 L +NEILS N IY1 L Z +NEILSEN N AY1 L - S AH0 N +NEILSON N IY1 L - S AH0 N +NEIMAN N IY1 - M AH0 N +NEIMEYER N AY1 - M AY0 - ER0 +NEIN N IY1 N +NEIRA N EH1 - R AH0 +NEIS N IY1 Z +NEISEN N AY1 - S AH0 N +NEISES N IY1 - Z IH0 Z +NEISLER N AY1 - S AH0 - L ER0 +NEISLER(2) N AY1 S - L ER0 +NEISS N IY1 S +NEISWENDER N AY1 - S W EH0 N - D ER0 +NEITHER N IY1 - DH ER0 +NEITHER(2) N AY1 - DH ER0 +NEITZ N IY1 T S +NEITZEL N AY1 T - Z AH0 L +NEITZKE N AY1 T S - K IY0 +NEJ N EY1 +NEJAMATIN N EH0 - JH AH0 - M AE1 - T IH0 N +NEKOOSA N IH0 - K UW1 - S AH0 +NEKTON N EH1 K - T AH0 N +NEL N EH1 L +NELA N EH1 - L AH0 +NELDA N EH1 L - D AH0 +NELIA N EH1 - L IY0 - AH0 +NELINA N EH0 - L IY1 - N AH0 +NELITA N EH0 - L IY1 - T AH0 +NELL N EH1 L +NELLA N EH1 - L AH0 +NELLCOR N EH1 L - K AO2 R +NELLE N EH1 L +NELLER N EH1 - L ER0 +NELLES N EH1 L Z +NELLETTE N EH2 - L EH1 T +NELLI N EH1 - L IY0 +NELLIANA N EH2 - L IY0 - AE1 - N AH0 +NELLIE N EH1 - L IY0 +NELLIGAN N EH1 - L IH0 - G AH0 N +NELLIS N EH1 - L IH0 S +NELLWYN N EH1 L - W IH0 N +NELLY N EH1 - L IY0 +NELMS N EH1 L M Z +NELOMS N EH1 - L AH0 M Z +NELON N EH1 - L AH0 N +NELS N EH1 L Z +NELSEN N EH1 L - S AH0 N +NELSON N EH1 L - S AH0 N +NELSON'S N EH1 L - S AH0 N Z +NEMATODE N EH1 - M AH0 - T OW2 D +NEMATODES N EH1 - M AH0 - T OW2 D Z +NEMEAN N IY1 - M IY0 - AH0 N +NEMEC N EH1 - M IH0 K +NEMECEK N EH1 - M IH0 - S IH0 K +NEMER N IY1 - M ER0 +NEMEROFF N EH1 - M ER0 - AO0 F +NEMES N IY1 M Z +NEMESIS N EH1 - 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AH0 +NESTED N EH1 - S T AH0 D +NESTED(2) N EH1 - S T IH0 D +NESTER N EH1 - S T ER0 +NESTERS N EH1 - S T ER0 Z +NESTING N EH1 - S T IH0 NG +NESTLE N EH1 - S AH0 L +NESTLE'S N EH1 - S AH0 L Z +NESTLE'S(2) N EH1 S - L IY1 Z +NESTLE(2) N EH1 S - L IY1 +NESTLED N EH1 - S AH0 L D +NESTLER N EH1 - S AH0 - L ER0 +NESTLER(2) N EH1 S - L ER0 +NESTLES N EH1 - S AH0 L Z +NESTLING N EH1 S T - L IH0 NG +NESTLING(2) N EH1 - S L IH0 NG +NESTLINGS N EH1 S T - L IH0 NG Z +NESTLINGS(2) N EH1 S - L IH0 NG Z +NESTOR N EH1 - S T ER0 +NESTORIAN N EH0 - S T AO1 - R IY0 - AH0 N +NESTORIANISM N EH0 - S T AO1 - R IY0 - AH0 - N IH0 - Z AH0 M +NESTS N EH1 S T S +NET N EH1 T +NETAN N EH1 - T AH0 N +NETANYAHU N EH2 - T AH0 - N Y AA1 - HH UW2 +NETANYAHU'S N EH2 - T AH0 - N Y AA1 - HH UW2 Z +NETBACK N EH1 T - B AE2 K +NETCOM N EH1 T - K AA2 M +NETH N EH1 TH +NETHER N EH1 - DH ER0 +NETHERCUTT N EH1 - TH ER0 - K AH0 T +NETHERLAND N EH1 - DH ER0 - L AH0 N D +NETHERLANDIC N EH1 - DH ER0 - L AE2 N - D IH0 K +NETHERLANDS N EH1 - 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K IH0 NG +NETWORKS N EH1 T - W ER2 K S +NETWORKS' N EH1 T - W ER2 K S +NETWORTH N EH1 T - W ER2 TH +NETZ N EH1 T S +NETZEL N EH1 T - Z AH0 L +NETZER N EH1 T - Z ER0 +NETZLEY N EH1 T S - L IY0 +NEU N OY1 +NEUBAUER N UW1 - B AW0 - ER0 +NEUBECKER N UW1 - B EH2 - K ER0 +NEUBER N UW1 - B ER0 +NEUBERGER N UW1 - B ER0 - G ER0 +NEUBERT N UW1 - B ER0 T +NEUBURG N UW1 - B ER0 G +NEUBURGER N UW1 - B ER0 - G ER0 +NEUDECKER N UW1 - D IH0 - K ER0 +NEUE N UW1 - IY0 +NEUENDORF N UW1 - AH0 N - D AO0 R F +NEUENDORFFER N UW1 N - D AO0 R - F ER0 +NEUENFELDT N UW1 - AH0 N - F EH0 L T +NEUENSCHWANDER N UW1 - AH0 N - SH W AO0 N - D ER0 +NEUER N OY1 - ER0 +NEUFELD N UW1 - F EH2 L D +NEUFELD'S N UW1 - F EH2 L D Z +NEUGEBAUER N UW1 - G AH0 - B AW0 - ER0 +NEUGENT N UW1 - JH AH0 N T +NEUHART N UW1 - HH AA2 R T +NEUHARTH N UW1 - HH AA2 R TH +NEUHAUS N UW1 - HH AW2 S +NEUHAUSER N UW1 - HH AW2 - Z ER0 +NEUHOFF N UW1 - HH AO2 F +NEUKAM N UW1 - K AH0 M +NEUKIRCHEN N UW1 - K ER0 - CH AH0 N +NEUKIRCHEN(2) N UW2 - K IH1 R - 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L AY2 - Z IH0 Z +NEUTRALIZING N UW1 - T R AH0 - L AY2 - Z IH0 NG +NEUTRALS N UW1 - T R AH0 L Z +NEUTRINO N UW0 - T R IY1 - N OW0 +NEUTRINOS N UW0 - T R IY1 - N OW0 Z +NEUTROGENA N UW2 - T R AH0 - JH IY1 - N AH0 +NEUTRON N UW1 - T R AA2 N +NEUTRONS N UW1 - T R AA2 N Z +NEUVILLE N UW1 - V IH2 L +NEUWIRTH N UW1 - W ER0 TH +NEUZIL N UW1 - Z AH0 L +NEVA N EY1 - V AH0 +NEVADA N AH0 - V AA1 - D AH0 +NEVADA'S N AH0 - V AE1 - D AH0 Z +NEVADA'S(2) N AH0 - V AA1 - D AH0 Z +NEVADA(2) N AH0 - V AE1 - D AH0 +NEVADAN N AH0 - V AE1 - D AH0 N +NEVADANS N AH0 - V AE1 - D AH0 N Z +NEVALA N EY0 - V AA1 - L AH0 +NEVARACH N AH0 - V AA1 - R AH0 CH +NEVARACH'S N AH0 - V AA1 - R AH0 - CH AH0 Z +NEVAREZ N EY0 - V AA1 - R EH0 Z +NEVE N IY1 V +NEVEAU N IH0 - V OW1 +NEVEL N EY0 - V EH1 L +NEVELS N EH1 - V AH0 L Z +NEVER N EH1 - V ER0 +NEVERLAND N EH1 - V ER0 - L AE0 N D +NEVERLAND(2) N EH1 - V ER0 - L AH0 N D +NEVERMIND N EH1 - V ER0 - M AY2 N D +NEVERMORE N EH1 - V ER0 - M AO2 R +NEVERS N EH1 - V ER0 Z +NEVERTHELESS N EH2 - 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K ER0 - AA1 - G W AH0 Z +NICARAGUAN N IH2 - K ER0 - AA1 - G W AH0 N +NICARAGUANS N IH2 - K ER0 - AA1 - G W AH0 N Z +NICASTRO N IH0 - K AE1 - S T R OW0 +NICCOLI N IY0 - K OW1 - L IY0 +NICCOLITE N IH1 - K AH0 - L AY2 T +NICCUM N IH1 - K AH0 M +NICE N AY1 S +NICE(2) N IY1 S +NICELY N AY1 S - L IY0 +NICEN N AY1 - S AH0 N +NICENESS N AY1 S - N AH0 S +NICER N AY1 - S ER0 +NICEST N AY1 - S IH0 S T +NICETIES N AY1 - S IH0 - T IY0 Z +NICHE N IH1 CH +NICHELSON N IH1 - CH IH0 L - S AH0 N +NICHES N IH1 - CH IH0 Z +NICHOL N IH1 - K AO0 L +NICHOLA N IH0 - HH OW1 - L AH0 +NICHOLAS N IH1 - K AH0 - L AH0 S +NICHOLAS' N IH1 - K AH0 - L AH0 S +NICHOLAS'(2) N IH1 K - L AH0 S +NICHOLAS'S N IH1 - K AH0 - L AH0 - S IH0 Z +NICHOLAS'S(2) N IH1 K - L AH0 - S IH0 Z +NICHOLAS(2) N IH1 K - L AH0 S +NICHOLES N IH1 K - HH OW0 L Z +NICHOLI N IH1 - K AH0 - L AY0 +NICHOLL N IH1 - K AH0 L +NICHOLLS N IH1 - K AH0 L Z +NICHOLS N IH1 - K AH0 L Z +NICHOLS' N IH1 - K AH0 L Z +NICHOLS'S N IH1 - K AH0 L - Z IH0 Z +NICHOLSON N IH1 - K AH0 L - S AH0 N +NICHOLSON'S N IH1 - K AH0 L - S AH0 N Z +NICHTER N IH1 K - T ER0 +NICK N IH1 K +NICK'S N IH1 K S +NICKED N IH1 K T +NICKEL N IH1 - K AH0 L +NICKEL'S N IH1 - K AH0 L Z +NICKELL N IH1 - K AH0 L +NICKELODEON N IH2 - K IH0 - L OW1 - D IY0 - AH0 N +NICKELS N IH1 - K AH0 L Z +NICKELSON N IH1 - K IH0 L - S AH0 N +NICKENS N IH1 - K AH0 N Z +NICKERSON N IH1 - K ER0 - S AH0 N +NICKESON N IH1 - K IH0 - S AH0 N +NICKEY N IH1 - K IY0 +NICKI N IH1 - K IY0 +NICKLAS N IH1 - K L AH0 Z +NICKLAUS N IH1 K - L AH0 S +NICKLAUS'S N IH1 K - L AH0 - S IH0 Z +NICKLE N IH1 - K AH0 L +NICKLEBY N IH1 - K AH0 L - B IY0 +NICKLES N IH1 - K AH0 L Z +NICKLESS N IH1 K - L AH0 S +NICKLIN N IH1 - K L IH0 N +NICKLOW N IH1 - K L OW2 +NICKNAME N IH1 K - N EY2 M +NICKNAMED N IH1 K - N EY2 M D +NICKNAMES N IH1 K - N EY2 M Z +NICKOL N IH1 - K AH0 L +NICKOLAS N IH1 - K AH0 - L AH0 Z +NICKOLOFF N IH1 - K AH0 - L AO0 F +NICKOLS N IH1 - K AH0 L Z +NICKOLSON N IH1 - K OW0 L - S AH0 N +NICKS N IH1 K S +NICKSON N IH1 K - S AH0 N +NICKUM N IH1 - K AH0 M +NICKY N IH1 - K IY0 +NICKY'S N IH1 - K IY0 Z +NICLANESHIA N IH1 K - L AH0 - N EH2 - SH AH0 +NICLANESHIA'S N IH1 K - L AH0 - N EH2 - SH AH0 Z +NICLEY N IH1 K - L IY0 +NICO N IY1 - K OW0 +NICODEMO N IY2 - K OW0 - D EY1 - M OW0 +NICODERM N IH1 - K AH0 - D ER2 M +NICOL N IH1 - K AH0 L +NICOLA N IH0 - K OW1 - L AH0 +NICOLAE N IH1 - K OW0 - L AY2 +NICOLAI N IY0 - K OW0 - L AA1 - IY0 +NICOLAIDES N IH1 - K AH0 - L EY0 D Z +NICOLAISEN N IH1 - K AH0 - L AY0 - S AH0 N +NICOLAS N IH1 - K AH0 - L AH0 S +NICOLAU N IH1 - K AH0 - L AW0 +NICOLAUS N IH1 - K AH0 - L AW0 Z +NICOLAY N IH1 - K AH0 - L EY2 +NICOLE N IH0 - K OW1 L +NICOLE'S N IH0 - K OW1 L Z +NICOLET N IH2 - K AH0 - L EH1 T +NICOLETTA N IH2 - K AH0 - L EH1 - T AH0 +NICOLETTE N IH2 - K AH0 - L EH1 T +NICOLETTI N IY0 - K OW0 - L EH1 - T IY0 +NICOLETTI(2) N IH2 - K AH0 - L EH1 - T IY0 +NICOLI N IY0 - K OW1 - L IY0 +NICOLIN N IH1 - K AH0 - L IH0 N +NICOLINA N IY2 - K OW0 - L IY1 - N AH0 +NICOLINE N IY0 - K OW0 - L IY1 - 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B AA1 - L AH0 +NIEDBALSKI N IY0 D - B AA1 L S - K IY0 +NIEDER N IY1 - D ER0 +NIEDERER N IY1 - D ER0 - ER0 +NIEDERHAUSER N IY1 - D ER0 - HH AW0 - Z ER0 +NIEDERMAN N AY1 - D ER0 - M AH0 N +NIEDERMEIER N IY1 - D ER0 - M AY0 - ER0 +NIEDERMEYER N IY1 - D ER0 - M AY0 - ER0 +NIEDZIELSKI N IY0 - JH IY1 L - S K IY0 +NIEDZWIECKI N IY0 JH - V IY1 T S - K IY0 +NIEHAUS N IY1 - HH AW2 S +NIEHAUS(2) N AY1 - HH AW2 S +NIEHOFF N IY1 - HH AO0 F +NIEKAMP N IY1 - K AE2 M P +NIEL N IY1 L +NIELAND N IY1 - L AH0 N D +NIELD N IY1 L D +NIELDS N IY1 L D Z +NIELS N IY1 L Z +NIELSEN N IY1 L - S AH0 N +NIELSEN'S N IY1 L - S AH0 N Z +NIELSON N IY1 L - S AH0 N +NIEMAN N IY1 - M AH0 N +NIEMANN N IY1 - M AH0 N +NIEMCZYK N IY1 M - CH IH0 K +NIEMEIER N IY1 - M AY0 - ER0 +NIEMELA N IY0 - M EH1 - L AH0 +NIEMEYER N IY1 - M AY0 - ER0 +NIEMI N IY1 - M IY0 +NIEMIEC N IY1 - M IY2 K +NIEMOELLER N AY1 - M AO0 - L ER0 +NIEMUTH N IY1 - M AH0 TH +NIENABER N IY1 - N AH0 - B ER0 +NIENHAUS N IY1 N - HH AW2 S +NIENHUIS N IY1 N - HH UW0 - IH0 Z +NIENOW N IY1 - N OW0 +NIER N IY1 - ER0 +NIERENBERG N IH1 - R AH0 N - B ER0 G +NIERMAN N IH1 R - M AH0 N +NIES N AY1 Z +NIESE N IY1 Z +NIESEN N IY1 - S AH0 N +NIESS N IY1 S +NIETO N IY1 - T OW0 +NIETZSCHE N IY1 - CH IY0 +NIEVES N IY0 - EH1 - V EH0 S +NIEZGODA N IY0 Z - G OW1 - D AH0 +NIFEDIPINE N AY2 - F EH1 - D AH0 - P IY0 N +NIFEDIPINE(2) N AH0 - F EH1 - D AH0 - P IY0 N +NIFONG N IH1 - F AO0 NG +NIFTY N IH1 F - T IY0 +NIGEL N AY1 - JH AH0 L +NIGER N AY1 - JH ER0 +NIGERIA N AY0 - JH IH1 - R IY0 - AH0 +NIGERIA'S N AY0 - JH IH1 - R IY0 - AH0 Z +NIGERIAN N AY0 - JH IH1 - R IY0 - AH0 N +NIGERIANS N AY0 - JH IH1 - R IY0 - AH0 N Z +NIGG N IH1 G +NIGGARDLINESS N IH1 - G ER0 D - L IY0 - N AH0 S +NIGGARDLY N IH1 - G ER0 D - L IY0 +NIGGER N IH1 - G ER0 +NIGGER'S N IH1 - G ER0 Z +NIGGERS N IH1 - G ER0 Z +NIGH N AY1 +NIGHSWONGER N AY1 S - W AO0 NG - ER0 +NIGHT N AY1 T +NIGHT'S N AY1 T S +NIGHTCLUB N AY1 T - K L AH2 B +NIGHTCLUBS N AY1 T - K L AH2 B Z +NIGHTENGALE N AY1 - T IH0 NG - G AH0 L +NIGHTER N AY1 - T ER0 +NIGHTERS N AY1 - T ER0 Z +NIGHTFALL N AY1 T - F AO2 L +NIGHTHAWK N AY1 T - HH AO2 K +NIGHTHORSE N AY1 T - HH AO0 R S +NIGHTINGALE N AY1 - T IH0 NG - G EY0 L +NIGHTLIFE N AY1 T - L AY2 F +NIGHTLINE N AY1 T - L AY2 N +NIGHTLINE'S N AY1 T - L AY2 N Z +NIGHTLINES N AY1 T - L AY2 N Z +NIGHTLY N AY1 T - L IY0 +NIGHTMARE N AY1 T - M EH2 R +NIGHTMARES N AY1 T - M EH2 R Z +NIGHTMARISH N AY1 T - M EH2 - R IH0 SH +NIGHTS N AY1 T S +NIGHTS' N AY1 T S +NIGHTSHADE N AY1 - CH EY2 D +NIGHTSHIRT N AY1 - CH ER2 T +NIGHTSTAGE N AY1 T - S T EY2 JH +NIGHTSTAND N AY1 T - S T AE2 N D +NIGHTSTICK N AY1 T - S T IH2 K +NIGHTTIME N AY1 T - T AY2 M +NIGHTTIMES N AY1 T - T AY2 M Z +NIGRELLI N IY0 - G R EH1 - L IY0 +NIGRIS N IH1 - G R IH0 S +NIGRO N IH1 - G R OW0 +NIGUEL N IH0 - G EH1 L +NIHART N IH1 - HH AA0 R T +NIHAY N AY1 - HH EY0 +NIHAY(2) N IY1 - HH EY0 +NIHEI N IH0 - HH EY1 +NIHILISM N AY1 - AH0 - L IH2 - Z AH0 M +NIHILISTS N AY1 - AH0 - L AH0 S T S +NIHILISTS(2) N AY1 - AH0 - L AH0 S S +NIHILISTS(3) N AY1 - AH0 - L AH0 S +NIHISER N IH1 - HH AY0 - Z ER0 +NIHON N IH1 - HH AA0 N +NIIHAU N IY1 - HH AW0 +NIK N IH1 K +NIKE N AY1 - K IY0 +NIKE'S N AY1 - K IY0 Z +NIKES N AY1 K S +NIKES(2) N AY1 - K IY0 Z +NIKITA N IH2 - K IY1 - T AH0 +NIKITA(2) N AH0 - K IY1 - T AH0 +NIKK'S N IH1 K S +NIKKEI N IH0 - K EY1 +NIKKEI'S N IY1 - K EY2 Z +NIKKEI(2) N IY1 - K EY2 +NIKKEI(3) N AY1 - K IY2 +NIKKEL N IH1 - K AH0 L +NIKKHAH N IH1 K - HH AA0 +NIKKI N IH1 - K IY0 +NIKKO N IY1 - K OW0 +NIKKO'S N IY1 - K OW0 Z +NIKO N IY1 - K OW0 +NIKO'S N IY1 - K OW0 Z +NIKOLAI N IH1 - K OW0 - L AY2 +NIKOLAIVICH N IH0 - K OW0 - L AY1 - V IH0 CH +NIKOLAUS N IH1 - K AH0 - L AW0 Z +NIKOLIC N IH0 - K AA1 - L IH0 K +NIKOLICH N IH0 - K AA1 - L IH0 HH +NIKON N AY1 - K AA2 N +NIKOU N IY1 - K UW0 +NIKOVSKI N IH0 - K AA1 F S - K IY0 +NIL N IH1 L +NILA N IY1 - L AH0 +NILAN N IY0 - L AA1 N +NILAND N AY1 - L AH0 N D +NILE N AY1 L +NILES N AY1 L Z +NILGES N IH1 L - JH IH0 Z +NILL N IH1 L +NILLES N AY1 L Z +NILLY N IH1 - L IY0 +NILS N IH1 L Z +NILSEN N IH1 L - S AH0 N +NILSON N IH1 L - S AH0 N +NILSSON N IH1 L - S AH0 N +NIMBLE N IH1 M - B AH0 L +NIMBLY N IH1 M - B L IY0 +NIMBUS N IH1 M - B AH0 S +NIMBY N IH1 M - B IY0 +NIMITZ N IH1 - M IH0 T S +NIMMER N IH1 - M ER0 +NIMMO N IH1 - M OW0 +NIMMONS N IH1 - M AH0 N Z +NIMOY N IY1 - M OY2 +NIMROD N IH1 M - R AA0 D +NIMRODI N IH0 M - R OW1 - D IY0 +NIMS N IH1 M Z +NIMTZ N IH1 M T S +NINA N AY1 - N AH0 +NINA(2) N IY1 - N AH0 +NINAGAWA N IY2 - N AA0 - G AA1 - W AH0 +NINCOMPOOP N IH1 NG - K AH0 M - P UW2 P +NINCOMPOOPS N IH1 NG - K AH0 M - P UW2 P S +NINE N AY1 N +NINE'S N AY1 N Z +NINEFOLD N IH1 N - F OW2 L D +NINER N AY1 - N ER0 +NINERS N AY1 - N ER0 Z +NINES N AY1 N Z +NINETEEN N AY1 N - T IY1 N +NINETEENTH N AY1 N - T IY1 N TH +NINETIES N AY1 N - T IY0 Z +NINETIES' N AY1 N - T IY0 Z +NINETIETH N AY1 N - T IY0 - IH0 TH +NINETTE N IH0 - N EH1 T +NINETY N AY1 N - T IY0 +NINETY'S N AY1 N - T IY0 Z +NINEVEH N IH1 - N AH0 - V AH0 +NING N IH1 NG +NINJA N IH1 N - JH AH0 +NINJAS N IH1 N - JH AH0 Z +NINNEMAN N IH1 N - M AH0 N +NINO N IY1 - N OW0 +NINON N IH1 - N AH0 N +NINSU N IH1 N - S UW0 +NINTENDO N IH0 N - T EH1 N - D OW0 +NINTENDO'S N IH0 N - T EH1 N - D OW0 Z +NINTH N AY1 N TH +NINTHS N AY1 N TH S +NIOBITE N AY1 - OW0 - B AY2 T +NIOBIUM N AY2 - OW1 - B IY0 - AH0 M +NIP N IH1 P +NIPON N IH1 - P AA2 N +NIPP N IH1 P +NIPPED N IH1 P T +NIPPER N IH1 - P ER0 +NIPPERT N IH1 - P ER0 T +NIPPING N IH1 - P IH0 NG +NIPPLE N IH1 - P AH0 L +NIPPON N IH2 - P AA1 N +NIPPONDENSO N IH2 - P AA2 N - D EH1 N - S OW0 +NIPPY N IH1 - P IY0 +NIPSCO N IH1 P - S K OW0 +NIQUETTE N IH0 - K EH1 T +NIR N IH1 R +NIRENBERG N AY1 - R AH0 N - B ER0 G +NIRIKO N IH1 - R IH0 - K OW0 +NIRO N IH1 - R OW0 +NIRVANA N IH0 R - V AA1 - N AH0 +NIRVANA'S N IH0 R - V AA1 - N AH0 Z +NIRVANA'S(2) N ER0 - V AA1 - N AH0 Z +NIRVANA(2) N ER0 - V AA1 - N AH0 +NISBET N IH1 Z - B AH0 T +NISBETT N IH1 S - B IH0 T +NISEI N IH0 - S EY1 +NISHI N IY1 - SH IY0 +NISHIDA N IY0 - SH IY1 - D AH0 +NISHIKAWA N IY0 - SH IY0 - K AA1 - W AH0 +NISHIMO N IH0 - SH IY1 - M OW0 +NISHIMOTO N IY0 - SH IY0 - M OW1 - T OW0 +NISHIMURA N IY0 - SH IY0 - M UH1 - R AH0 +NISHIOKA N IY2 - SH IY0 - OW1 - K AH0 +NISHIYAMA N IY0 - SH IY0 - Y AA1 - M AH0 +NISHIZAWA N IY2 - SH IH0 - Z AA1 - W AH0 +NISKANEN N IH1 S - K AH0 - N AH0 N +NISLEY N IH1 Z - L IY0 +NISSA N IH1 - S AH0 +NISSAN N IY1 - S AA0 N +NISSAN'S N IY1 - S AA0 N Z +NISSANS N IY1 - S AA0 N Z +NISSEI N IH0 - S EY1 +NISSEN N IH1 - S AH0 N +NISSENBAUM N IH1 - S AH0 N - B AW2 M +NISSHIN N IH1 - SH IH0 N +NISSHO N IH1 - SH OW0 +NISSIM N IH1 - S IH0 M +NISSIN N IH1 - S IH0 N +NISSLEY N IH1 S - L IY0 +NIST N IH1 S T +NISTLER N IH1 S T - L ER0 +NISWANDER N IH1 S - W AO0 N - D ER0 +NISWONGER N IH1 S - W AO0 NG - ER0 +NIT N IH1 T +NITA N IY1 - T AH0 +NITE N AY1 T +NITHUEKAN N IH2 TH - W AH0 - K AA1 N +NITHUEKAN'S N IH2 TH - W AH0 - K AA1 N Z +NITKA N IH1 T - K AH0 +NITPICK N IH1 T - P IH0 K +NITPICKING N IH1 T - P IH2 - K IH0 NG +NITRATE N AY1 - T R EY2 T +NITRATES N AY1 - T R EY2 T S +NITRATING N AY1 - T R EY2 - T IH0 NG +NITRATION N AY0 - T R EY1 - SH AH0 N +NITRIC N AY1 - T R IH0 K +NITRIDE N AY1 - T R AY0 D +NITRILES N AY1 - T R AH0 L Z +NITRO N IH1 - T R OW0 +NITROCELLULOSE N AY2 - T R OW0 - S EH1 L - Y AH0 - L OW2 S +NITROGEN N AY1 - T R AH0 - JH AH0 N +NITROGENOUS N AY0 - T R AA1 - JH AH0 - N AH0 S +NITROGLYCERIN N AY2 - T R OW0 - G L IH1 - S ER0 - AH0 N +NITROGLYCERIN(2) N AY2 - T R AH0 - G L IH1 - S ER0 - AH0 N +NITROGLYCERIN(3) N AY2 - CH R AH0 - G L IH1 - S ER0 - AH0 N +NITROGLYCERINE N AY2 - T R OW0 - G L IH1 - S ER0 - AH0 N +NITROGLYCERINE(2) N AY2 - T R AH0 - G L IH1 - S ER0 - AH0 N +NITROGLYCERINE(3) N AY2 - CH R AH0 - G L IH1 - S ER0 - AH0 N +NITROSAMINES N IH0 - T R AA2 - S AH0 - M IY1 N Z +NITROSOMINE N IH0 - T R AA2 - S AH0 - M IY1 N +NITROSOMINES N IH0 - T R AA2 - S AH0 - M IY1 N Z +NITROUS N IH1 - T R AH0 S +NITSA N IH1 T - S AH0 +NITSCH N IH1 CH +NITSCHE N IH1 CH +NITSCHKE N IH1 CH K +NITTA N IH1 - T AH0 +NITTA(2) N IY1 - T AH0 +NITTO N IH1 - T OW0 +NITTY N IH1 - T IY0 +NITZ N IH1 T S +NITZA N IH1 T - Z AH0 +NITZA'S N IH1 T - Z AH0 Z +NITZBERG N IH1 T S - B ER0 G +NITZE N IH1 T - S IY0 +NITZEL N IH1 T - Z AH0 L +NITZSCHE N IH1 T Z SH +NITZSCHE(2) N IH1 T SH +NIVEN N AY1 - V AH0 N +NIVENS N AY1 - V AH0 N Z +NIVER N AY1 - V ER0 +NIVISON N IH1 - V IH0 - S AH0 N +NIX N IH1 K S +NIXDORF N IH1 K S - D AO2 R F +NIXDORF'S N IH1 K S - D AO2 R F S +NIXED N IH1 K S T +NIXES N IH1 K - S IH0 Z +NIXIE N IH1 K - S IY0 +NIXON N IH1 K - S AH0 N +NIXON'S N IH1 K - S AH0 N Z +NIXONS N IH1 K - S AH0 N Z +NIZAR N AY1 - Z AA0 R +NIZHNY N IH1 ZH - N IY0 +NIZIOLEK N IH0 - Z IY0 - OW1 - L EH0 K +NIZNIK N IH1 Z - N IH0 K +NJT EH1 N - JH EY1 - T IY1 +NO N OW1 +NO'S N OW1 Z +NOA N OW1 - AH0 +NOAA N OW1 - AH0 +NOAA(2) EH1 - N OW1 - EY1 - EY1 +NOACK N OW1 K +NOAH N OW1 - AH0 +NOAH'S N OW1 - AH0 Z +NOAKES N OW1 K S +NOAM N OW1 M +NOAMI N OW1 - M IY0 +NOBBE N AA1 B +NOBEC N OW0 - B EH1 K +NOBEC'S N OW0 - B EH1 K S +NOBEL N OW0 - B EH1 L +NOBELIUM N OW0 - B EH1 - L IY0 - AH0 M +NOBILE N AA1 - B AH0 L +NOBILITY N OW0 - B IH1 - L AH0 - T IY0 +NOBIS N OW1 - B IH0 S +NOBLE N OW1 - B AH0 L +NOBLE'S N OW1 - B AH0 L Z +NOBLEMAN N OW1 - B AH0 L - M AH0 N +NOBLEMAN'S N OW1 - B AH0 L - M AH0 N Z +NOBLES N OW1 - B AH0 L Z +NOBLESSE N OW0 - B L EH1 S +NOBLEST N OW1 - B L IH0 S T +NOBLET N AA1 - B L AH0 T +NOBLETT N AA1 - B L IH0 T +NOBLEWOMAN N OW1 - B AH0 L - W UH2 - M AH0 N +NOBLIN N AA1 - B L IH0 N +NOBLITT N AA1 - B L IH0 T +NOBLY N AA1 - B L IY0 +NOBODIES N OW1 - B AA2 - D IY2 Z +NOBODIES(2) N OW1 - B AH0 - D IY0 Z +NOBODY N OW1 - B AA2 - D IY2 +NOBODY'D N OW1 - B AA2 - D IY2 D +NOBODY'D(2) N OW1 - B AH0 - D IY0 D +NOBODY'S N OW1 - B AA2 - D IY2 Z +NOBODY'S(2) N OW1 - B AH0 - D IY0 Z +NOBODY(2) N OW1 - B AH0 - D IY0 +NOBORU N OW0 - B AO1 - R UW0 +NOBREGA N AA1 - B R IH0 - G AH0 +NOBRIGA N AA1 - B R IH0 - G AH0 +NOBUAKI N OW2 - B UW0 - AA1 - K IY0 +NOBUO N OW0 - B UW1 - OW0 +NOBUTO N OW0 - B UW1 - T OW0 +NOBUYUKI N OW2 - B UW0 - Y UW1 - K IY0 +NOCE N OW1 S +NOCELLA N OW0 - CH EH1 - L AH0 +NOCERA N OW0 - CH EH1 - R AH0 +NOCK N AA1 K +NOCKARD N AA1 - K ER0 D +NOCTURNAL N AA0 K - T ER1 - N AH0 L +NOD N AA1 D +NODA N OW1 - D AH0 +NODDED N AA1 - D AH0 D +NODDED(2) N AA1 - D IH0 D +NODDING N AA1 - D IH0 NG +NODE N OW1 D +NODES N OW1 D Z +NODINE N OW0 - D IY1 - N IY0 +NODS N AA1 D Z +NODULAR N AA1 - JH AH0 - L ER0 +NODULE N AA1 - JH UW0 L +NODULES N AA1 - JH UW0 L Z +NOE N OW1 +NOECKER N OW1 - K ER0 +NOEL N OW0 - EH1 L +NOEL'S N OW0 - EH1 L Z +NOELL N OW1 L +NOELLE N OW0 - EH1 L +NOES N OW1 Z +NOETH N OW1 TH +NOFFKE N AA1 F K +NOFFSINGER N AA1 F - S IH0 N - JH ER0 +NOFSINGER N AA1 F - S IH0 N - JH ER0 +NOFTSKER N AO1 F T - S K ER0 +NOFZIGER N AO1 F - Z IH0 - G ER0 +NOGA N OW1 - G AH0 +NOGALES N OW0 - G AA1 - L EH0 S +NOGAWA N OW0 - G AA1 - W AH0 +NOGGLE N AA1 - G AH0 L +NOGLE N OW1 - G AH0 L +NOGUCHI N OW0 - G UW1 - CH IY0 +NOGUEIRA N OW0 - G EH1 - R AH0 +NOGUERA N OW0 - G EH1 - R AH0 +NOH N OW1 +NOHL N OW1 L +NOHR N AO1 R +NOIMAN N OY1 - M AH0 N +NOIR N OY1 R +NOIRS N OY1 R Z +NOISE N OY1 Z +NOISES N OY1 - Z IH0 Z +NOISIER N OY1 - Z IY0 - ER0 +NOISIEST N OY1 - Z IY0 - AH0 S T +NOISILY N OY1 - Z AH0 - L IY0 +NOISY N OY1 - Z IY0 +NOKES N OW1 K S +NOKIA N OW1 - K IY0 - AH0 +NOKIA'S N OW1 - K IY0 - AH0 Z +NOKYO N OW1 - K Y OW0 +NOLA N OW1 - L AH0 +NOLAN N OW1 - L AH0 N +NOLANA N OW0 - L AE1 - N AH0 +NOLAND N OW1 - L AH0 N D +NOLANDA N AH0 - L AE1 N - D AH0 +NOLASCO N OW0 - L AA1 - S K OW0 +NOLD N OW1 L D +NOLDE N OW1 L D +NOLDEN N OW1 L - D AH0 N +NOLDER N OW1 L - D ER0 +NOLE N OW1 L +NOLEN N AA1 - L AH0 N +NOLES N OW1 L Z +NOLET N OW1 - L IH0 T +NOLETA N OW0 - L EH1 - T AH0 +NOLETTE N OW2 - L EH1 T +NOLF N OW1 L F +NOLIE N AA1 - L IY0 +NOLIN N OW1 - L IH0 N +NOLITA N OW0 - L IY1 - T AH0 +NOLL N OW1 L +NOLLA N OW1 - L AH0 +NOLLAN N AA1 - L AH0 N +NOLLER N OW1 - L ER0 +NOLLEY N AA1 - L IY0 +NOLLIE N OW1 - L IY0 +NOLLS N OW1 L Z +NOLO N OW1 - L OW0 +NOLT N OW1 L T +NOLTE N OW1 L T +NOLTING N OW1 L - T IH0 NG +NOM N AA1 M +NOMAD N OW1 - M AE2 D +NOMAD'S N OW1 - M AE2 D Z +NOMADIC N OW0 - M AE1 - D IH0 K +NOMADS N OW1 - M AE2 D Z +NOME N OW1 M +NOME'S N OW1 M Z +NOMENCLATORIAL N OW2 - M IH0 N - K L AH0 - T AO1 - R IY0 - AH0 L +NOMENCLATURAL N OW0 - M AH0 N - K L EY1 - CH ER0 - AH0 L +NOMENCLATURE N OW1 - M AH0 N - K L EY2 - CH ER0 +NOMENKLATURA N OW0 - M EH2 NG - K L AH0 - CH UH1 - R AH0 +NOMI N OW1 - M IY0 +NOMINAL N AA1 - M AH0 - N AH0 L +NOMINALLY N AA1 - M AH0 - N AH0 - L IY0 +NOMINATE N AA1 - M AH0 - N AH0 T +NOMINATE(2) N AA1 - M AH0 - N EY2 T +NOMINATED N AA1 - M AH0 - N EY2 - T AH0 D +NOMINATES N AA1 - M AH0 - N EY2 T S +NOMINATES(2) N AA1 - M AH0 - N AH0 T S +NOMINATING N AA1 - M AH0 - N EY2 - T IH0 NG +NOMINATION N AA2 - M AH0 - N EY1 - SH AH0 N +NOMINATIONS N AA2 - M AH0 - N EY1 - SH AH0 N Z +NOMINEE N AA2 - M AH0 - N IY1 +NOMINEE'S N AA2 - M AH0 - N IY1 Z +NOMINEES N AA2 - M AH0 - N IY1 Z +NOMO N OW1 - M OW0 +NOMURA N OW0 - M UH1 - R AH0 +NOMURA'S N OW0 - M UH1 - R AH0 Z +NOMURA'S(2) N UW1 - M ER0 - AH0 Z +NON N AA1 N +NON-CATHOLIC N AA0 N - K AE1 TH - L IH0 K +NON-CATHOLICS N AA0 N - K AE1 TH - L IH0 K S +NON-NONSENSE N AA1 N - N AA1 N - S EH2 N S +NON-SUPERVISORY N AA1 N - S UW2 - P ER0 - V AY1 - Z ER0 - IY0 +NONA N AA1 - N AH0 +NONACADEMIC N AA0 N - AE2 - K AH0 - D EH1 - M IH0 K +NONACCRUAL N AA2 N - AH0 - K R UW1 - AH0 L +NONACCRUING N AA2 N - AH0 - K R UW1 - IH0 NG +NONAGGRESSION N AA2 N - AH0 - G R EH1 - SH AH0 N +NONAGRICULTURAL N AA2 N - AE2 - G R IH0 - K AH1 L - CH ER0 - AH0 L +NONALCOHOLIC N AA2 N - AE2 L - K AH0 - HH AA1 - L IH0 K +NONALIGN N AA1 N - AH0 - L AY2 N +NONALIGNED N AA1 N - AH0 - L AY2 N D +NONAUTOMOTIVE N AA2 N - AO2 - T OW0 - M OW1 - T IH0 V +NONBANK N AA1 N - B AE1 NG K +NONBANKING N AA1 N - B AE1 NG - K IH0 NG +NONBELIEVER N AA2 N - B AH0 - L IY1 - V ER0 +NONBELIEVERS N AA2 N - B AH0 - L IY1 - V ER0 Z +NONBINDING N AA1 N - B AY1 N - D IH0 NG +NONBITING N AA0 N - B AY1 - T IH0 NG +NONBUILDING N AA1 N - B IH1 L - D IH0 NG +NONBUSINESS N AA1 N - B IH1 Z - N AH0 S +NONCALLABLE N AA0 N - K AO1 - L AH0 - B AH0 L +NONCASH N AA1 N - K AE1 SH +NONCHALANCE N AA1 N - SH AH0 - L AA1 N S +NONCHALANT N AA2 N - SH AH0 - L AA1 N T +NONCHALANTLY N AA1 N - SH AH0 - L AA1 N T - L IY0 +NONCOLOR N AA0 N - K AH1 - L ER0 +NONCOMBATANT N AA2 N - K AH0 M - B AE1 - T AH0 N T +NONCOMBATANTS N AA2 N - K AH0 M - B AE1 - T AH0 N T S +NONCOMMERCIAL N AA1 N - K AH0 - M ER1 - SH AH0 L +NONCOMMITTAL N AA1 N - K AH0 - M IH1 - T AH0 L +NONCOMMUNIST N AA1 N - K AA1 - M Y UW0 - N IH0 S T +NONCOMPETE N AA0 N - K AH0 M - P IY1 T +NONCOMPETITIVE N AA2 N - K AH0 M - P EH1 - T AH0 - T IH0 V +NONCOMPLIANCE N AA2 N - K AH0 M - P L AY1 - AH0 N S +NONCONFORMIST N AA2 N - K AH0 N - F AO1 R - M IH0 S T +NONCONFORMISTS N AA2 N - K AH0 N - F AO1 R - M AH0 S T S +NONCONFORMISTS(2) N AA2 N - K AH0 N - F AO1 R - M AH0 S S +NONCONFORMISTS(3) N AA2 N - K AH0 N - F AO1 R - M AH0 S +NONCONFORMITY N AA2 N - K AH0 N - F AO1 R - M AH0 - T IY0 +NONCONTRACT N AA0 N - K AA1 N - T R AE2 K T +NONCONTROVERSIAL N AA0 N - K AA2 N - T R AH0 - V ER1 - SH AH0 L +NONCONVERTIBLE N AA0 N - K AH0 N - V ER1 - T AH0 - B AH0 L +NONCORE N AA1 N - K AO1 R +NONCORPORATE N AA0 N - K AO1 R - P R AH0 T +NONCRIMINAL N AA0 N - K R IH1 - M IH0 - N AH0 L +NONCUMULATIVE N AA0 N - K Y UW1 - M Y AH0 - L AH0 - T IH0 V +NONDEDUCTIBLE N AA0 N - D IH0 - D AH1 K - T IH0 - B AH0 L +NONDEFENSE N AA0 N - D IH0 - F EH1 N S +NONDESCRIPT N AA1 N - D IH0 - S K R IH1 P T +NONDIRECT N AA1 N - D ER0 - EH1 K T +NONDISCRIMINATE N AA0 N - D IH2 - S K R IH1 - M AH0 - N AH0 T +NONDISCRIMINATION N AA0 N - D IH2 - S K R IH0 - M IH0 - N EY1 - SH AH0 N +NONDISCRIMINATORY N AA1 N - D IH0 - S K R IH1 - M AH0 - N AH0 - T AO2 - R IY0 +NONDOLLAR N AA1 N - D AA1 - L ER0 +NONDURABLE N AA0 N - D UH1 - R AH0 - B AH0 L +NONDURABLES N AA0 N - D UH1 - R AH0 - B AH0 L Z +NONE N AH1 N +NONECONOMIC N AA2 N - EH2 - K AH0 - N AA1 - M IH0 K +NONELECTRICAL N AA0 N - IH0 - L EH1 K - T R IH0 - K AH0 L +NONEMERGENCY N AA2 - N IH0 - M ER1 - JH AH0 N - S IY0 +NONENTITY N AA0 N - EH1 N - T AH0 - T IY0 +NONESSENTIAL N AA2 N - IH0 - S EH1 N - CH AH0 L +NONESUCH N AH1 N - S AH1 CH +NONETHELESS N AH2 N - DH AH0 - L EH1 S +NONEVENT N AA1 N - IH0 - V EH1 N T +NONEXCLUSIVE N AA2 N - IH0 K - S K L UW1 - S IH0 V +NONEXECUTIVE N AA1 N - IH0 G - Z EH1 - K Y AH0 - T IH0 V +NONEXISTENT N AA2 N - AH0 G - Z IH1 - S T AH0 N T +NONFARM N AA1 N - F AA1 R M +NONFAT N AA1 N - F AE1 T +NONFATAL N AA1 N - F EY1 - T AH0 L +NONFERROUS N AA0 N - F EH1 - R AH0 S +NONFICTION N AA0 N - F IH1 K - SH AH0 N +NONFINANCIAL N AA0 N - F AH0 - N AE1 N - SH AH0 L +NONFINANCIAL(2) N AA0 N - F AY0 - N AE1 N - SH AH0 L +NONFOOD N AA1 N - F UW1 D +NONGOVERNMENT N AA0 N - G AH1 - V ER0 N - M AH0 N T +NONGOVERNMENTAL N AA0 N - G AH2 - V ER0 N - M EH1 N - T AH0 L +NONGREEK N AA2 N - G R IY1 K +NONHUMAN N AA0 N - HH Y UW1 - M AH0 N +NONIE N AA1 - N IY0 +NONINFLATIONARY N AA2 N - IH0 N - F L EY1 - SH AH0 N - EH2 - R IY0 +NONINTEREST N AA0 N - IH1 N - T R AH0 S T +NONINTERFERENCE N AA2 N - IH2 N - T ER0 - F IH1 - R AH0 N S +NONINTERVENTION N AA2 N - IH2 N - T ER0 - V EH1 N - CH AH0 N +NONJET N AA1 N - JH EH1 T +NONJETS N AA1 N - JH EH1 T S +NONLETHAL N AA0 N - L IY1 - TH AH0 L +NONLINEAR N AA0 N - L IH1 - N IY2 - ER0 +NONLITURGICAL N AA0 N - L AH0 - T ER1 - JH IH0 - K AH0 L +NONMANAGEMENT N AA0 N - M AE1 - N IH0 JH - M AH0 N T +NONMANUFACTURING N AA2 N - M AE2 - N Y AH0 - F AE1 K - CH ER0 - IH0 NG +NONMEMBER N AA0 N - M EH1 M - B ER0 +NONMEMBERS N AA0 N - M EH1 M - B ER0 Z +NONMILITARY N AA0 N - M IH1 - L AH0 - T EH2 - R IY0 +NONNATIVE N AA1 - N EY1 - T IH0 V +NONNEMACHER N AA1 - N IH0 - M AH0 - K ER0 +NONNUCLEAR N AA1 N - UW1 - K L IY2 - ER0 +NONOPERATING N AA1 N - AO1 - P ER0 - EY2 - T IH0 NG +NONPACIFIST N AA2 N - P AE1 - S IH0 - F IH0 S T +NONPACIFISTS N AA2 N - P AE1 - S IH0 - F IH0 S T S +NONPACIFISTS(2) N AA2 N - P AE1 - S IH0 - F IH0 S S +NONPACIFISTS(3) N AA2 N - P AE1 - S IH0 - F IH0 S +NONPARTISAN N AA0 N - P AA1 R - T AH0 - Z AH0 N +NONPAYING N AA0 N - P EY1 - IH0 NG +NONPAYMENT N AA0 N - P EY1 - M AH0 N T +NONPERFORMING N AA0 N - P ER0 - F AO1 R - M IH0 NG +NONPLANAR N AA0 N - P L EY1 - N ER0 +NONPLUSS N AA0 N - P L AH1 S +NONPLUSSED N AA0 N - P L AH1 S T +NONPOISONOUS N AA0 N - P OY1 - Z AH0 - N AH0 S +NONPOLITICAL N AA2 N - P AH0 - L IH1 - T IH0 - K AH0 L +NONPRESCRIPTION N AA2 N - P R AH0 - S K R IH1 P - SH AH0 N +NONPRODUCTIVE N AA2 N - P R AH0 - D AH1 K - T IH0 V +NONPROFESSIONAL N AA2 N - P R AH0 - F EH1 - SH AH0 - N AH0 L +NONPROFESSIONALS N AA0 N - P R AH0 - F EH1 - SH AH0 - N AH0 L Z +NONPROFIT N AA0 N - P R AA1 - F AH0 T +NONPROFITS N AA1 N - P R AA1 - F IH0 T S +NONPROLIFERATION N AA0 N - P R AH0 - L IH2 - F ER0 - EY1 - SH AH0 N +NONPUBLIC N AA0 N - P AH1 - B L IH0 K +NONQUALIFIED N AA0 N - K W AA1 - L AH0 - F AY2 D +NONRACIAL N AA0 N - R EY1 - SH AH0 L +NONRECURRING N AA0 N - R IH0 - K ER1 - IH0 NG +NONREFUNDABLE N AA0 N - R IH0 - F AH1 N - D AH0 - B AH0 L +NONREGULATED N AA0 N - R EH1 - G Y AH0 - L EY2 - T IH0 D +NONRELIGIOUS N AA2 N - R IH0 - L IH1 - JH AH0 S +NONRENEWABLE N AA0 N - R IY0 - N UW1 - AH0 - B AH0 L +NONRESIDENT N AA0 N - R EH1 - Z AH0 - D AH0 N T +NONRESIDENTIAL N AA2 N - R EH2 - Z AH0 - D EH1 N - SH AH0 L +NONRESIDENTIAL(2) N AA2 N - R EH2 - Z AH0 - D EH1 N - CH AH0 L +NONRESIDENTS N AA0 N - R EH1 - Z AH0 - D AH0 N T S +NONRESPONSIVE N AA0 N - R IH0 - S P AA1 N - S IH0 V +NONROMAN N AA0 N - R OW1 - M AH0 N +NONRULING N AA0 N - R UW1 - L IH0 NG +NONSECTARIAN N AA2 N - S EH0 K - T EH1 - R IY0 - AH0 N +NONSENSE N AA1 N - S EH0 N S +NONSENSICAL N AA0 N - S EH1 N - S IH0 - K AH0 L +NONSMOKER N AA0 N - S M OW1 - K ER0 +NONSMOKERS N AA0 N - S M OW1 - K ER0 Z +NONSMOKERS' N AA1 N - S M OW1 - K ER0 Z +NONSMOKING N AA1 N - S M OW1 - K IH0 NG +NONSPECIFIC N AA2 N - S P AH0 - S IH1 - F IH0 K +NONSPORTING N AA0 N - S P AO1 R - T IH0 NG +NONSTANDARD N AA0 N - S T AE1 N - D ER0 D +NONSTARTER N AA0 N - S T AA1 R - T ER0 +NONSTICK N AA0 N - S T IH1 K +NONSTOP N AA2 N - S T AA1 P +NONSTOPS N AA2 N - S T AA1 P S +NONSTRATEGIC N AA0 N - S T R AH0 - T IY1 - JH IH0 K +NONSURGICAL N AA0 N - S ER1 - JH IH0 - K AH0 L +NONTAXABLE N AA0 N - T AE1 K - S AH0 - B AH0 L +NONTECHNICAL N AA0 N - T EH1 K - N IH0 - K AH0 L +NONTOXIC N AA0 N - T AA1 K - S IH0 K +NONTRADITIONAL N AA2 N - T R AH0 - D IH1 - SH AH0 - N AH0 L +NONTRANSFERABLE N AA2 N - T R AE2 N S - F ER1 - AH0 - B AH0 L +NONTURBO N AO0 N - T ER1 - B OW0 +NONTURBOS N AO0 N - T ER1 - B OW0 Z +NONUNION N AA0 N - Y UW1 - N Y AH0 N +NONUNIONIZED N AA0 N - Y UW1 - N Y AH0 - N AY2 Z D +NONUTILITY N AA2 N - Y UW0 - T IH1 - L IH0 - T IY0 +NONVERBAL N AA0 N - V ER1 - B AH0 L +NONVIOLENCE N AA0 N - V AY1 - AH0 - L AH0 N S +NONVIOLENT N AA0 N - V AY1 - AH0 - L AH0 N T +NONVOLATILE N AA0 N - V AA1 - L AH0 - T AH0 L +NONVOTING N AA0 N - V OW1 - T IH0 NG +NONWHITE N AA1 N - W AY1 T +NONWHITE(2) N AA1 N HH - W AY1 T +NONWHITES N AA1 N - W AY1 T S +NONWHITES(2) N AA1 N HH - W AY1 T S +NONWOVEN N AA1 N - W OW1 - V IH0 N +NONWOVENS N AA1 N - W OW1 - V AH0 N Z +NOODLE N UW1 - D AH0 L +NOODLES N UW1 - D AH0 L Z +NOOK N UH1 K +NOOKS N UH1 K S +NOON N UW1 N +NOONAN N UW1 - N AH0 N +NOONE N UW1 N +NOONEY N UW1 - N IY0 +NOONS N UW1 N Z +NOONTIME N UW1 N - T AY2 M +NOORDA N UH1 R - D AH0 +NOOSE N UW1 S +NOPE N OW1 P +NOR N AO1 R +NORA N AO1 - R AH0 +NORA'S N AO1 - R AH0 Z +NORAH N AO1 - R AH0 +NORAMCO N AO0 - R AE1 M - K OW0 +NORANDA N AO0 - R AE1 N - D AH0 +NORANDA'S N AO0 - R AE1 N - D AH0 Z +NORBECK N AO1 R - B EH0 K +NORBERG N AO1 R - B ER0 G +NORBERT N AO1 R - B ER0 T +NORBERTA N AO0 R - B EH1 R - T AH0 +NORBERTO N AO0 R - B ER1 - T OW2 +NORBURY N AO1 R - B EH0 - R IY0 +NORBY N AO1 R - B IY0 +NORCEN N AO1 R - S AH0 N +NORCEN'S N AO1 R - S AH0 N Z +NORCIA N AO1 R - CH AH0 +NORCO N AO1 R - K OW0 +NORCROSS N AO1 R - K R AO0 S +NORD N AO1 R D +NORDAHL N AO1 R - D AA0 L +NORDAN N AO1 R - D AH0 N +NORDBANKEN N AO1 R D - B AE2 NG - K AH0 N +NORDBERG N AO1 R D - B ER0 G +NORDBY N AO1 R D - B IY0 +NORDEEN N ER0 - D IY1 N +NORDELL N AO1 R - D AH0 L +NORDEN N AO1 R - D AH0 N +NORDER N AO1 R - D ER0 +NORDGREN N AO1 R D - G R EH0 N +NORDIC N AO1 R - D IH0 K +NORDICA N AO1 R - D IH0 - K AH0 +NORDICTRACK N AO1 R - D IH0 K - T R AE2 K +NORDIN N AO1 R - D IH0 N +NORDINE N AO0 R - D IY1 - N IY0 +NORDIO N AO1 R - D IY0 - OW0 +NORDISK N AO1 R - D IH2 S K +NORDLING N AO1 R - D AH0 L - IH0 NG +NORDLING(2) N AO1 R D - L IH0 NG +NORDLUND N AO1 R D - L AH0 N D +NORDMAN N AO1 R D - M AH0 N +NORDMANN N AO1 R D - M AH0 N +NORDMEYER N AO1 R D - M AY0 - ER0 +NORDQUIST N AO1 R D - K W IH0 S T +NORDSON N AO1 R D - S AH0 N +NORDSTROM N AO1 R D - S T R AH0 M +NORDSTROM'S N AO1 R D - S T R AH0 M Z +NORDSTROMS N AO1 R D - S T R AH0 M Z +NORDYKE N AO1 R - D AY2 K +NORECO N AO0 - R EH1 - K OW0 +NORED N AO1 R D +NOREEN N ER0 - IY1 N +NOREIGA N AO0 - R EY1 - G AH0 +NORELCO N ER0 - EH1 L - K OW0 +NORELL N AO1 - R AH0 L +NOREM N AO1 - R IH0 M +NOREN N AO1 - R AH0 N +NORENBERG N AO1 - R AH0 N - B ER0 G +NORENCO N AO1 - R AH0 N - K OW0 +NORENKO N AH0 - R EH1 N - K OW0 +NOREX N AO1 - R AH0 K S +NORFLEET N AO1 R F - L IY2 T +NORFOLK N AO1 R - F AH0 K +NORFOLK'S N AO1 R - F AH0 K S +NORGAARD N AO1 R - G AA0 R D +NORGARD N AO1 R - G ER0 D +NORGE N AO1 R JH +NORGREN N AO1 R - G R AH0 N +NORICK N AO1 - R IH0 K +NORIEGA N AO2 - R IY0 - EY1 - G AH0 +NORIEGA'S N AO2 - R IY0 - EY1 - G AH0 Z +NORIEGAS N AO2 - R IY0 - EY1 - G AH0 S +NORILSK N AO2 - R IH1 L S K +NORIMATSU N AO2 - R IY0 - M AA1 T - S UW0 +NORINCHUKIN N AO2 - R IH0 N - CH UW1 - K IH0 N +NORINKO N AO2 - R IH1 NG - K OW0 +NORK N AO1 R K +NORKUS N AO1 R - K IH0 S +NORLAND N AO1 R - L AH0 N D +NORLANDER N AO1 R - L AH0 N - D ER0 +NORLIN N AO1 R - L IH0 N +NORLING N AO1 R - L IH0 NG +NORM N AO1 R M +NORMA N AO1 R - M AH0 +NORMAL N AO1 R - M AH0 L +NORMALCY N AO1 R - M AH0 L - S IY0 +NORMALITY N AO2 R - M AE1 - L AH0 - T IY0 +NORMALIZATION N AO2 R - M AH0 - L IH0 - Z EY1 - SH AH0 N +NORMALIZE N AO1 R - M AH0 - L AY2 Z +NORMALIZED N AO1 R - M AH0 - L AY2 Z D +NORMALIZING N AO1 R - M AH0 - L AY2 - Z IH0 NG +NORMALLY N AO1 R - M AH0 - L IY0 +NORMALLY(2) N AO1 R M - L IY0 +NORMAN N AO1 R - M AH0 N +NORMAN'S N AO1 R - M AH0 N Z +NORMAND N AO1 R - M AH0 N D +NORMANDIE N AO1 R - M AH0 N - D IY0 +NORMANDIN N AO1 R - M AH0 N - D IH0 N +NORMANDY N AO1 R - M AH0 N - D IY0 +NORMATIVE N AO1 R - M AH0 - T IH0 V +NORMENT N AO1 R - M AH0 N T +NORMICK N AO1 R - M IH0 K +NORMIE N AO1 R - M IY0 +NORMILE N AO1 R - M AY0 L +NORMING N AO1 R - M IH0 NG +NORMINGTON N AO1 R - M IH0 NG - T AH0 N +NORMOYLE N AO1 R - M OY0 L +NORMS N AO1 R M Z +NORMY N AO1 R - M IY0 +NORNA N AO1 R - N AH0 +NORODOM N AO1 - R OW0 - D AH2 M +NORODOM(2) N AO1 - R AH0 - D AH2 M +NORPLANT N AO1 R - P L AE2 N T +NORPLANT'S N AO1 R - P L AE2 N T S +NORQUIST N AO1 R - K W IH0 S T +NORRED N AO1 R D +NORRELL N AO1 - R AH0 L +NORRIE N AO1 - R IY0 +NORRINGTON N AO1 - R IH0 NG - T AH0 N +NORRIS N AO1 - R IH0 S +NORRIS'S N AO1 - R AH0 - S IH0 Z +NORROD N AO1 - R AH0 D +NORRY N AO1 - R IY0 +NORSE N AO1 R S +NORSEMEN N AO1 R S - M IH0 N +NORSK N AO1 R S K +NORSKE N AO1 R S - K IY0 +NORSTAN N AO1 R - S T AH0 N +NORSTAR N AO1 R - S T AA2 R +NORSTROM N AO1 R S - T R AH0 M +NORSWORTHY N AO1 R S - W ER0 - DH IY0 +NORTE N AO1 R T +NORTEK N AO1 R - T EH2 K +NORTEL N AO1 R - T EH0 L +NORTH N AO1 R TH +NORTH'S N AO1 R TH S +NORTHAM N AO1 R - TH AH0 M +NORTHAMPTON N AO2 R - TH AE1 M P - T AH0 N +NORTHBOUND N AO1 R TH - B AW0 N D +NORTHBROOK N AO1 R TH - B R UH2 K +NORTHCLIFF N AO1 R TH - K L IH0 F +NORTHCOTT N AO1 R TH - K AH0 T +NORTHCRAFT N AO1 R TH - K R AE2 F T +NORTHCUTT N AO1 R TH - K AH0 T +NORTHEAST N AO2 R TH - IY1 S T +NORTHEAST'S N AO2 R TH - IY1 S T S +NORTHEASTERLY N AO2 R TH - IY1 - S T ER0 - L IY0 +NORTHEASTERN N AO2 R TH - IY1 - S T ER0 N +NORTHEASTERNER N AO0 R TH - IY1 - S T ER0 - N ER0 +NORTHEASTERNERS N AO0 R TH - IY1 S - T ER0 - N ER0 Z +NORTHEASTWARD N AO2 R TH - IY1 S T - W ER0 D +NORTHER N AO1 R - DH ER0 +NORTHERLY N AO1 R - DH ER0 - L IY0 +NORTHERN N AO1 R - DH ER0 N +NORTHERN'S N AO1 R - DH ER0 N Z +NORTHERNER N AO1 R - DH ER0 - N ER0 +NORTHERNERS N AO1 R - DH ER0 - N ER0 Z +NORTHERNMOST N AO1 R - DH ER0 N - M OW2 S T +NORTHEY N AO1 R - DH IY0 +NORTHFIELD N AO1 R TH - F IY2 L D +NORTHGATE N AO1 R TH - G EY2 T +NORTHINGTON N AO1 R - TH IH0 NG - T AH0 N +NORTHLAND N AO1 R TH - L AE2 N D +NORTHRIDGE N AO1 R - TH R IH2 JH +NORTHROP N AO1 R - TH R AH0 P +NORTHROP'S N AO1 R - TH R AH0 P S +NORTHRUP N AO1 R - TH R AH0 P +NORTHRUP'S N AO1 R - TH R AH0 P S +NORTHSTAR N AO1 R TH - S T AA2 R +NORTHUP N AO1 R TH - AH2 P +NORTHVALE N AO1 R TH - V EY2 L +NORTHVIEW N AO1 R TH - V Y UW2 +NORTHWARD N AO1 R TH - W ER0 D +NORTHWAY N AO1 R TH - W EY2 +NORTHWEST N AO2 R TH - W EH1 S T +NORTHWEST'S N AO2 R TH - W EH1 S T S +NORTHWESTERLY N AO2 R TH - W EH1 - S T ER0 - L IY0 +NORTHWESTERN N AO2 R TH - W EH1 - S T ER0 N +NORTHWESTERN'S N AO2 R TH - W EH1 - S T ER0 N Z +NORTHWOOD N AO1 R TH - W UH2 D +NORTON N AO1 R - T AH0 N +NORTON'S N AO1 R - T AH0 N Z +NORVEL N AO1 R - V AH0 L +NORVELL N AO1 R - V AH0 L +NORVIL N AO1 R - V AH0 L +NORVILLE N AO1 R - V IH0 L +NORVIN N AO1 R - V IH0 N +NORWALK N AO1 R - W AO2 K +NORWARD N AO1 R - W ER0 D +NORWAY N AO1 R - W EY2 +NORWAY'S N AO1 R - W EY2 Z +NORWEB N AO1 R - W EH2 B +NORWEGIAN N AO2 R - W IY1 - JH AH0 N +NORWEGIANS N AO0 R - W IY1 - JH AH0 N Z +NORWELL N AO1 R - W EH0 L +NORWEST N AO2 R - W EH1 S T +NORWEST'S N AO2 R - W EH1 S T S +NORWICH N AO1 R - W IH0 CH +NORWIN N AO1 R - W IH0 N +NORWITZ N AO1 R - W IH0 T S +NORWOOD N AO1 R - W UH0 D +NORWYN N AO1 R - W IH0 N +NOSAIR N OW1 - Z EY0 R +NOSAIR'S N OW1 - Z EY0 R Z +NOSAIR'S(2) N OW1 - S EY0 R Z +NOSAIR(2) N OW1 - S EY0 R +NOSAL N OW1 - Z AH0 L +NOSE N OW1 Z +NOSEBLEED N OW1 Z - B L IY2 D +NOSED N OW1 Z D +NOSEDIVE N OW1 Z - D AY2 V +NOSEDIVED N OW1 Z - D AY2 V D +NOSEK N OW1 - S EH0 K +NOSES N OW1 - Z IH0 Z +NOSEWORTHY N OW1 Z - W ER2 - DH IY0 +NOSINESS N OW1 - Z IY0 - N AH0 S +NOSING N OW1 - Z IH0 NG +NOSKA N OW1 - S K AH0 +NOSS N AO1 S +NOSTALGIA N AO0 - S T AE1 L - JH AH0 +NOSTALGIC N AO0 - S T AE1 L - JH IH0 K +NOSTRA N AO1 - S T R AH0 +NOSTRADAMUS N AO2 - S T R AH0 - D AE1 - M AH0 S +NOSTRAND N AA1 S - T R AH0 N D +NOSTRIL N AA1 S - T R IH0 L +NOSTRILS N AA1 S - T R AH0 L Z +NOSTRUMS N AA1 S - T R AH0 M Z +NOSY N OW1 - Z IY0 +NOT N AA1 T +NOTABLE N OW1 - T AH0 - B AH0 L +NOTABLES N OW1 - T AH0 - B AH0 L Z +NOTABLY N OW1 - T AH0 - B L IY0 +NOTARIANNI N OW0 - T AA0 - R IY0 - AA1 - N IY0 +NOTARO N OW0 - T AA1 - R OW0 +NOTARY N OW1 - T ER0 - IY0 +NOTATION N OW0 - T EY1 - SH AH0 N +NOTATIONS N OW0 - T EY1 - SH AH0 N Z +NOTCH N AA1 CH +NOTCHED N AA1 CH T +NOTCHES N AA1 - CH AH0 Z +NOTCHES(2) N AA1 - CH IH0 Z +NOTE N OW1 T +NOTE'S N OW1 T S +NOTEBAERT N OW1 - T AH0 - B EH2 R T +NOTEBOOK N OW1 T - B UH2 K +NOTEBOOKS N OW1 T - B UH2 K S +NOTEBOOM N AA1 - T IH0 - B UW0 M +NOTEBOOM(2) N UW1 - T IH0 - B UW0 M +NOTED N OW1 - T AH0 D +NOTED(2) N OW1 - T IH0 D +NOTEHOLDER N OW1 T - HH OW2 L - D ER0 +NOTEHOLDERS N OW1 T - HH OW2 L - D ER0 Z +NOTES N OW1 T S +NOTES' N OW1 T S +NOTESTINE N OW0 - T EH0 - S T IY1 - N IY0 +NOTEWARE N OW1 T - W EH2 R +NOTEWORTHY N OW1 T - W ER2 - DH IY0 +NOTH N AA1 TH +NOTHDURFT N AA1 TH - D ER0 F T +NOTHER N AH1 - DH ER0 +NOTHIN N AA1 - TH IH0 N +NOTHIN' N AH1 - TH IH0 N +NOTHING N AH1 - TH IH0 NG +NOTHING'S N AH1 - TH IH0 NG Z +NOTHINGNESS N AH1 - TH IH0 NG - N AH0 S +NOTHINGS N AH1 - TH IH0 NG Z +NOTHNAGEL N AA1 TH - N AH0 - G AH0 L +NOTHSTEIN N AA1 TH - S T IY2 N +NOTHSTEIN(2) N AA1 TH - S T AY2 N +NOTICE N OW1 - T AH0 S +NOTICE(2) N OW1 - T IH0 S +NOTICEABLE N OW1 - T AH0 - S AH0 - B AH0 L +NOTICEABLY N OW1 - T IH0 - S AH0 - B L IY0 +NOTICED N OW1 - T AH0 S T +NOTICES N OW1 - T AH0 - S AH0 Z +NOTICES(2) N OW1 - T IH0 - S IH0 Z +NOTICING N OW1 - T IH0 - S IH0 NG +NOTIFICATION N OW2 - T AH0 - F AH0 - K EY1 - SH AH0 N +NOTIFICATIONS N OW2 - T AH0 - F AH0 - K EY1 - SH AH0 N Z +NOTIFIED N OW1 - T AH0 - F AY2 D +NOTIFIES N OW1 - T AH0 - F AY2 Z +NOTIFY N OW1 - T AH0 - F AY2 +NOTIFYING N OW1 - T AH0 - F AY2 - IH0 NG +NOTING N OW1 - T IH0 NG +NOTION N OW1 - SH AH0 N +NOTIONS N OW1 - SH AH0 N Z +NOTIS N OW1 - T IH0 S +NOTO N OW1 - T OW0 +NOTOCHORD N OW1 - T AH0 - K AO2 R D +NOTORIETY N OW2 - T ER0 - AY1 - AH0 - T IY0 +NOTORIOUS N OW0 - T AO1 - R IY0 - AH0 S +NOTORIOUSLY N OW0 - T AO1 - R IY0 - AH0 S - L IY0 +NOTRE N OW1 - T R AH0 +NOTRE(2) N OW1 - T ER0 +NOTS N AA1 T S +NOTT N AA1 T +NOTTAGE N AA1 - T IH0 JH +NOTTE N AA1 T +NOTTER N AA1 - T ER0 +NOTTINGHAM N AA1 - T IH0 NG - HH AE2 M +NOTWITHSTANDING N AA2 T - W IH0 TH - S T AE1 N - D IH0 NG +NOTZ N AA1 T S +NOUN N AW1 N +NOURISH N ER1 - IH0 SH +NOURISHED N ER1 - IH0 SH T +NOURISHING N ER1 - IH0 - SH IH0 NG +NOURISHMENT N ER1 - IH0 SH - M AH0 N T +NOURSE N AO1 R S +NOUVEAU N UW2 - V OW1 +NOUVEL N UW1 - V AH0 L +NOUVELLE N UW2 - V EH1 L +NOV N OW0 - V EH1 M - B ER0 +NOV(2) N OW1 V +NOVA N OW1 - V AH0 +NOVA'S N OW1 - V AH0 Z +NOVACARE N OW1 - V AH0 - K EH2 R +NOVACEK N AA1 - V AH0 - CH EH0 K +NOVACK N AA1 - V AH0 K +NOVACOR N OW1 - V AH0 - K AO2 R +NOVAK N OW1 - V AE0 K +NOVAK'S N OW1 - V AE0 K S +NOVAKOVICH N AH0 - V AA1 - K AH0 - V IH0 CH +NOVAKOWSKI N AH0 - V AH0 - K AO1 F S - K IY0 +NOVAMETRIX N OW0 - V AE1 - M AH0 - T R IH0 K S +NOVAS N OW1 - V AH0 Z +NOVATO N OW0 - V AA1 - T OW0 +NOVEL N AA1 - V AH0 L +NOVEL'S N AA1 - 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SH AH0 S +NOXON N AA1 K - S AH0 N +NOXSO N AA1 K - S OW0 +NOYCE N OY1 S +NOYD N OY1 D +NOYES N OY1 Z +NOYOLA N OY2 - OW1 - L AH0 +NOZZLE N AA1 - Z AH0 L +NOZZLES N AA1 - Z AH0 L Z +NPR EH1 N - P IY1 - AA1 R +NPR'S EH1 N - P IY1 - AA1 R Z +NPR.ORG EH1 N - P IY1 - AA1 R - D AA1 - T AO1 R G +NTH EH1 N TH +NU N UW1 +NUALA N UW0 - AA1 - L AH0 +NUANCE N UW1 - AA0 N S +NUANCED N UW1 - AA0 N S T +NUANCES N UW1 - AA0 N - S IH0 Z +NUB N AH1 B +NUBER N UW1 - B ER0 +NUBIAN N Y UW1 - B IY0 - AH0 N +NUCCI N UW1 - CH IY0 +NUCCIO N UW1 - CH IY0 - OW0 +NUCKLES N AH1 - K AH0 L Z +NUCKOLLS N AH1 - K AH0 L Z +NUCKOLS N AH1 - K AH0 L Z +NUCLEAR N UW1 K - L IY0 - ER0 +NUCLEATION N UW2 K - L IY0 - EY1 - SH AH0 N +NUCLEI N UW1 - K L IY0 - AY2 +NUCLEIC N UW0 - K L EY1 - IH0 K +NUCLEONIC N UW2 - K L IY0 - AA1 - N IH0 K +NUCLEONICS N UW2 - K L IY0 - AA1 - N IH0 K S +NUCLEOTIDE N UW1 - K L IY0 - AH0 - T AY2 D +NUCLEUS N UW1 - K L IY0 - AH0 S +NUCOR N UW1 - K AO2 R +NUCOR'S N UW1 - K AO2 R Z +NUCORP N UW1 - K AO2 R P +NUDD N AH1 D +NUDE N UW1 D +NUDELMAN N AH1 - 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T R IY0 - AH0 N T S +NUTRITION N UW0 - T R IH1 - SH AH0 N +NUTRITIONAL N UW0 - T R IH1 - SH AH0 - N AH0 L +NUTRITIONALLY N UW0 - T R IH1 - SH AH0 N - AH0 - L IY0 +NUTRITIONALLY(2) N UW0 - T R IH1 SH - N AH0 - L IY0 +NUTRITIONIST N UW0 - T R IH1 - SH AH0 - N IH0 S T +NUTRITIONISTS N UW0 - T R IH1 - SH AH0 - N IH0 S T S +NUTRITIONISTS(2) N UW0 - T R IH1 - SH AH0 N - IH0 S S +NUTRITIONISTS(3) N UW0 - T R IH1 - SH AH0 N - IH0 S +NUTRITIOUS N UW0 - T R IH1 - SH AH0 S +NUTRITIVE N UW1 - T R AH0 - T IH0 V +NUTS N AH1 T S +NUTSHELL N AH1 - CH EH2 L +NUTT N AH1 T +NUTTALL N AH1 - T AH0 L +NUTTER N AH1 - T ER0 +NUTTING N AH1 - T IH0 NG +NUTTLE N AH1 - T AH0 L +NUTTY N AH1 - T IY0 +NUVEEN N UW0 - V IY1 N +NUXOLL N AH1 K - S AH0 L +NUYS N AY1 Z +NUZUM N UW1 - Z AH0 M +NUZZI N UW1 T - S IY0 +NUZZLE N AH1 - Z AH0 L +NUZZO N UW1 - Z OW0 +NVHOME EH1 N - V IY1 - HH OW1 M +NVHOMES EH1 N - V IY1 - HH OW1 M Z +NVRYAN EH0 N - V R AY1 - AH0 N +NYACK N AY1 - AE2 K +NYBERG N AY1 - B ER0 G +NYBORG N IH1 - B AO0 R G +NYBORG(2) N AY1 - 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M EH2 K S +NYMPH N IH1 M F +NYMPHOMANIAC N IH2 M - F AH0 - M EY1 - N IY0 - AE2 K +NYMPHOMANIAC(2) N IH2 M - F OW0 - M EY1 - N IY0 - AE2 K +NYMPHOMANIACS N IH2 M - F AH0 - M EY1 - N IY0 - AE2 K S +NYMPHOMANIACS(2) N IH2 M - F OW0 - M EY1 - N IY0 - AE2 K S +NYMPHS N IH1 M F S +NYNEX N AY1 - N EH2 K S +NYNEX'S N AY1 - N EH2 K - S IH0 Z +NYQUIST N IH1 - K W IH0 S T +NYQUIST(2) N AY1 - K W IH0 S T +NYSSA N IH1 - S AH0 +NYSTROM N AY1 S - T R AH0 M +NYX N IH1 K S +O OW1 +O' OW1 +O'BEIRNE OW0 - B ER1 N +O'BOYLE OW0 - B OY1 L +O'BRIAN OW0 - B R AY1 - AH0 N +O'BRIEN OW0 - B R AY1 - IH0 N +O'BRIEN'S OW0 - B R AY1 - IH0 N Z +O'CALLAHAN OW0 - K AE1 - L AH0 - HH AE2 N +O'CLOCK AH0 - K L AA1 K +O'CONNELL OW0 - K AA1 - N AH0 L +O'CONNER OW0 - K AA1 - N ER0 +O'CONNER'S OW0 - K AA1 - N ER0 Z +O'CONNOR OW0 - K AA1 - N ER0 +O'CONNOR'S OW0 - K AA1 - N ER0 Z +O'DEA OW0 - D EY1 +O'DELI OW0 - D EH1 - L IY0 +O'DELL OW0 - D EH1 L +O'DONNELL OW0 - D AA1 - N AH0 L +O'DONNELL'S OW0 - D AA1 - N AH0 L Z +O'DONOGHUE OW2 - D AA1 - N AH0 - G Y UW0 +O'DONOGHUE(2) OW2 - D AA1 - N AH0 - HH Y UW0 +O'DWYER OW0 D - W AY1 R +O'GLOVE OW0 - G L AH1 V +O'GORMAN OW0 - G AO1 R - M AH0 N +O'GRADY OW0 - G R EY1 - D IY0 +O'GRADY'S OW0 - G R EY1 - D IY0 Z +O'HALLARON OW0 - HH AE1 - L ER0 - AH0 N +O'HANLON OW2 - HH AE1 N - L AH0 N +O'HARA OW0 - HH EH1 - R AH0 +O'HARA'S OW0 - HH EH1 - R AH0 Z +O'HARE OW0 - HH EH1 R +O'KEEFE OW0 - K IY1 F +O'KEEFFE OW0 - K IY1 F +O'KEEFFE'S OW0 - K IY1 F S +O'KICKI OW0 - K IH1 - K IY0 +O'LEARY OW0 - L IH1 - R IY0 +O'LEARY'S OW0 - L IH1 - R IY0 Z +O'MALLEY OW0 - M AE1 - L IY0 +O'MARA OW0 - M AA1 - R AH0 +O'MELVENY OW0 - M EH1 L - V AH0 - N IY0 +O'NEAL OW0 - N IY1 L +O'NEIL OW0 - N IY1 L +O'NEILL OW0 - N IY1 L +O'NEILL'S OW0 - N IY1 L Z +O'NUTS OW0 - N AH1 T S +O'NUTS(2) AH0 N - AH1 T S +O'QUINN OW0 - K W IH1 N +O'REILLY OW0 - R AY1 - L IY0 +O'ROURKE OW0 - R AO1 R K +O'S OW1 Z +O'SHAUGHNESSY OW2 - SH AA1 - N IH0 - S IY0 +O'SHEA OW2 - SH EY1 +O'SMARTY OW2 S - M AA1 R - T IY0 +O'STEEN OW0 - S T IY1 N +O'SULLIVAN OW0 - S AH1 - L AH0 - V AH0 N +O'TOOLE OW0 - T UW1 L +O. OW1 +O.'S OW1 Z +O.S OW1 Z +O.S' OW1 Z +OAD OW1 - EY1 - D IY1 +OAHU OW2 - AA1 - HH UW0 +OAK OW1 K +OAK'S OW1 K S +OAKAR OW1 - K AA2 R +OAKBROOK OW1 K - B R UH2 K +OAKDALE OW1 K - D EY2 L +OAKES OW1 K S +OAKEY OW1 - K IY0 +OAKITE OW1 - K AY2 T +OAKLAND OW1 K - L AH0 N D +OAKLAND'S OW1 K - L AH0 N D Z +OAKLEAF OW1 K - L IY2 F +OAKLEY OW1 K - L IY0 +OAKLEY'S OW1 - K L IY0 Z +OAKMAN OW1 K - M AH0 N +OAKMARK OW1 K - M AA2 R K +OAKMONT OW1 K - M AA2 N T +OAKRIDGE OW1 - K R IH2 JH +OAKS OW1 K S +OAKS' OW1 K S +OAKVILLE OW1 K - V IH2 L +OAKWOOD OW1 K - W UH2 D +OANA OW1 - N AH0 +OANH OW1 N +OAR AO1 R +OARED AO1 R D +OARLOCK AO1 R - L AA2 K +OARS AO1 R Z +OARSMAN AO1 R Z - M AH0 N +OAS OW1 - EY1 - EH1 S +OASES OW0 - EY1 - S IY0 Z +OASIS OW0 - EY1 - S IH0 S +OAT OW1 T +OATES OW1 T S +OATH OW1 TH +OATHOUT OW1 - TH AW2 T +OATHS OW1 DH Z +OATHS(2) OW1 TH S +OATIS OW1 - T IH0 S +OATLEY OW1 T - L IY0 +OATMAN OW1 T - M AH0 N +OATMEAL OW1 T - M IY2 L +OATS OW1 T S +OAXACA OW1 K - S AH0 - K AH0 +OBA OW1 - B AH0 +OBADIAH OW2 - B AH0 - D AY1 - AH0 +OBANDO OW0 - B AE1 N - D OW0 +OBANION OW0 - B AA0 - N Y AO1 N +OBANNON AA1 - B AH0 - N AA0 N +OBAR AH0 - B AA1 R +OBARA OW0 - B AA1 - R AH0 +OBARR OW0 - B AA1 R +OBEDIANCE OW0 - B IY1 - D IY0 - AH0 N S +OBEDIENCE OW0 - B IY1 - D IY0 - AH0 N S +OBEDIENT OW0 - B IY1 - D IY0 - AH0 N T +OBEDIENTLY OW0 - B IY1 - D IY0 - AH0 N T - L IY0 +OBEDIENTLY(2) OW0 - B IY1 D - Y AH0 N T - L IY0 +OBEID OW0 - B AY1 D +OBEIRNE AA1 - B AY0 R N +OBELIA OW0 - B EH1 - L IY0 - AH0 +OBENCHAIN AA1 - B IH0 N - K AY0 N +OBENSHAIN AA1 - B IH0 N - SH AY0 N +OBER OW1 - B ER0 +OBERBECK AA1 - B ER0 - B EH0 K +OBERDORF AA1 - B ER0 - D AO0 R F +OBERG OW1 - B ER0 G +OBERHAUS AA1 - B ER0 - HH AW0 S +OBERHAUSEN OW1 - B ER0 - HH AW2 - Z AH0 N +OBERHELMAN AA1 - B ER0 - HH AH0 L - M AH0 N +OBERHOLTZER AA1 - B ER0 - HH OW0 L T - Z ER0 +OBERLANDER AA1 - B ER0 - L AH0 N - D ER0 +OBERLE AA1 - B ER0 - AH0 L +OBERLIN OW1 - B ER0 - L IH0 N +OBERLY OW1 - B ER0 - L IY0 +OBERMAIER OW1 - B ER0 - M AY2 R +OBERMAN AA1 - B ER0 - M AH0 N +OBERMEIER AA1 - B ER0 - M AY0 - ER0 +OBERMEYER AA1 - B ER0 - M AY0 - ER0 +OBERMILLER AA1 - B ER0 - M IH0 - L ER0 +OBERON OW1 - B ER0 - AA2 N +OBERRY OW1 - B EH0 - R IY0 +OBERST AA1 - B ER0 S T +OBERSTAR OW1 - B ER0 - S T AA2 R +OBERT AA1 - B ER0 T +OBERWEIS OW1 - B ER0 - W AY2 S +OBESE OW0 - B IY1 S +OBESITY OW0 - B IY1 - S AH0 - T IY0 +OBEY OW0 - B EY1 +OBEYED OW0 - B EY1 D +OBEYING OW0 - B EY1 - IH0 NG +OBEYS OW0 - B EY1 Z +OBFUSCATE AA1 B - F AH0 S - K EY2 T +OBFUSCATION AA2 B - F AH0 - S K EY1 - SH AH0 N +OBIE OW1 - B IY0 +OBISPO OW0 - B IH1 - S P OW0 +OBIT OW1 - B AH0 T +OBIT(2) OW0 - B IH2 T +OBITS AA1 - B IH0 T S +OBITS(2) OW0 - B IH2 T S +OBITUARIES OW0 - B IH1 - CH UW0 - EH2 - R IY0 Z +OBITUARY OW0 - B IH1 - CH UW0 - EH2 - R IY0 +OBJECT AA1 B - JH EH0 K T +OBJECT(2) AH0 B - JH EH1 K T +OBJECTED AH0 B - JH EH1 K - T AH0 D +OBJECTING AH0 B - JH EH1 K - T IH0 NG +OBJECTION AH0 B - JH EH1 K - SH AH0 N +OBJECTION'S AH0 B - JH EH1 K - SH AH0 N Z +OBJECTIONABLE AH0 B - JH EH1 K - SH AH0 N - AH0 - B AH0 L +OBJECTIONS AH0 B - JH EH1 K - SH AH0 N Z +OBJECTIVE AH0 B - JH EH1 K - T IH0 V +OBJECTIVELY AA0 B - JH EH1 K - T IH0 V - L IY0 +OBJECTIVES AH0 B - JH EH1 K - T IH0 V Z +OBJECTIVITY AA2 B - JH EH0 K - T IH1 - V IH0 - T IY0 +OBJECTOR AH0 B - JH EH1 K - T ER0 +OBJECTORS AH0 B - JH EH1 K - T ER0 Z +OBJECTS AA1 B - JH EH0 K T S +OBJECTS(2) AH0 B - JH EH1 K T S +OBJECTS(3) AA1 B - JH EH0 K S +OBJECTS(4) AH0 B - JH EH1 K S +OBLAK AA1 - B L AH0 K +OBLANDER AA1 - B L AH0 N - D ER0 +OBLAST AA1 - B L AE0 S T +OBLATE AA0 - B L EY1 T +OBLATE(2) AA1 - B L EY0 T +OBLIGATE AA1 - B L AH0 - G EY2 T +OBLIGATED AA1 - B L AH0 - G EY2 - T IH0 D +OBLIGATES AA1 - B L AH0 - G EY2 T S +OBLIGATION AA2 - B L AH0 - G EY1 - SH AH0 N +OBLIGATIONS AA2 - B L AH0 - G EY1 - SH AH0 N Z +OBLIGATORY AH0 - B L IH1 - G AH0 - T AO2 - R IY0 +OBLIGE AH0 - B L AY1 JH +OBLIGED AH0 - B L AY1 JH D +OBLIGES AH0 - B L AY1 - JH IH0 Z +OBLIGING AH0 - B L AY1 - JH IH0 NG +OBLIGINGLY AH0 - B L AY1 - JH IH0 NG - L IY0 +OBLINGER OW1 - B AH0 L - IH0 - NG ER0 +OBLINGER(2) OW1 - B L IH0 - NG ER0 +OBLIQUE AH0 - B L IY1 K +OBLIQUELY OW0 - B L IY1 - K L IY0 +OBLITERATE AH0 - B L IH1 - T ER0 - EY2 T +OBLITERATED AH0 - B L IH1 - T ER0 - EY2 - T IH0 D +OBLITERATING AH0 - B L IH1 - T ER0 - EY2 - T IH0 NG +OBLIVION AH0 - B L IH1 - V IY0 - AH0 N +OBLIVIOUS AH0 - B L IH1 - V IY0 - AH0 S +OBLONG AA1 - B L AO0 NG +OBNOXIOUS AA0 B - N AA1 K - SH AH0 S +OBOE OW1 - B OW0 +OBOIST OW1 - B OW0 - AH0 S T +OBON OW1 - B AH0 N +OBOYLE AA1 - B OY0 L +OBRADOVICH AH0 - B R AA1 - D AH0 - V IH0 CH +OBRECHT AA1 - B R IH0 K T +OBREGON AA1 - B R IH0 - G AH0 N +OBREMSKI AH0 - B R EH1 M S - K IY0 +OBRENOVICH AH0 - B R EH1 - N AH0 - V IH0 CH +OBRIAN AA1 - B R IY0 - AH0 N +OBRIANT OW0 - B R IY1 - AH0 N T +OBRIEN OW0 - B R AY1 - AH0 N +OBRINGER AA1 - B R IH0 - NG ER0 +OBRINSKY OW0 - B R IH1 N S - K IY0 +OBRYAN OW0 - B R AY1 - AH0 N +OBRYANT OW0 - B R AY1 - AH0 N T +OBSCENE AA0 B - S IY1 N +OBSCENE(2) AH0 B - S IY1 N +OBSCENELY AA0 B - S IY1 - N AH0 - L IY0 +OBSCENELY(2) AA0 B - S IY1 N - L IY0 +OBSCENITIES AA0 B - S EH1 - N IH0 - T IY0 Z +OBSCENITY AH0 B - S EH1 - N IH0 - T IY0 +OBSCURE AH0 B - S K Y UH1 R +OBSCURED AH0 B - S K Y UH1 R D +OBSCURES AH0 B - S K Y UH1 R Z +OBSCURING AH0 B - S K Y UH1 - R IH0 NG +OBSCURITY AH0 B - S K Y UH1 - R AH0 - T IY0 +OBSEQUIOUS AH0 B - S IY1 - K W IY0 - AH0 S +OBSERVABLE AH0 B - Z ER1 - V AH0 - B AH0 L +OBSERVABLES AH0 B - Z ER1 - V AH0 - B AH0 L Z +OBSERVANCE AH0 B - Z ER1 - V AH0 N S +OBSERVANCES AH0 B - Z ER1 - V AH0 N - S IH0 Z +OBSERVANT AH0 B - Z ER1 - V AH0 N T +OBSERVATEUR AA0 B - Z ER2 - V AH0 - T UH1 R +OBSERVATION AA2 B - Z ER0 - V EY1 - SH AH0 N +OBSERVATIONS AA2 B - Z ER0 - V EY1 - SH AH0 N Z +OBSERVATORIES AH0 B - Z ER1 - V AH0 - T AO2 - R IY0 Z +OBSERVATORY AH0 B - Z ER1 - V AH0 - T AO2 - R IY0 +OBSERVATORY'S AH0 B - Z ER1 - V AH0 - T AO2 - R IY0 Z +OBSERVE AH0 B - Z ER1 V +OBSERVED AH0 B - Z ER1 V D +OBSERVER AH0 B - Z ER1 - V ER0 +OBSERVERS AH0 B - Z ER1 - V ER0 Z +OBSERVES AH0 B - Z ER1 V Z +OBSERVING AH0 B - Z ER1 - V IH0 NG +OBSESS AH0 B - S EH1 S +OBSESSED AH0 B - S EH1 S T +OBSESSING AH0 B - S EH1 - S IH0 NG +OBSESSION AH0 B - S EH1 - SH AH0 N +OBSESSIONAL AH0 B - S EH1 - SH AH0 - N AH0 L +OBSESSIONS AH0 B - S EH1 - SH AH0 N Z +OBSESSIVE AH0 B - S EH1 - S IH0 V +OBSESSIVELY AA0 B - S EH1 - S IH0 V - L IY0 +OBSIDIAN AH0 B - S IH1 - D IY0 - AH0 N +OBSOLESCENCE AA2 B - S AH0 - L EH1 - S AH0 N S +OBSOLESCENT AA2 B - S AH0 - L EH1 - S AH0 N T +OBSOLETE AA1 B - S AH0 - L IY2 T +OBST AA1 B S T +OBSTACLE AA1 B - S T AH0 - K AH0 L +OBSTACLES AA1 B - S T AH0 - K AH0 L Z +OBSTETRIC AH0 B - S T EH1 - T R IH0 K +OBSTETRICIAN AA2 B - S T AH0 - T R IH1 - SH AH0 N +OBSTETRICIANS AA2 B - S T AH0 - T R IH1 - SH AH0 N Z +OBSTETRICS AH0 B - S T EH1 - T R IH0 K S +OBSTFELD AA1 B - S T F EH2 L D +OBSTINACY AA1 B - S T AH0 - N AH0 - S IY0 +OBSTINATE AA1 B - S T AH0 - N AH0 T +OBSTRUCT AH0 B - S T R AH1 K T +OBSTRUCTED AH0 B - S T R AH1 K - T IH0 D +OBSTRUCTING AH0 B - S T R AH1 K - T IH0 NG +OBSTRUCTION AH0 B - S T R AH1 K - SH AH0 N +OBSTRUCTIONISM AH0 B - S T R AH1 K - SH AH0 - N IH2 - Z AH0 M +OBSTRUCTIONIST AH0 B - S T R AH1 K - SH AH0 - N AH0 S T +OBSTRUCTIONIST(2) AH0 B - S T R AH1 K - SH AH0 - N IH0 S T +OBSTRUCTIONISTS AH0 B - S T R AH1 K - SH AH0 - N AH0 S T S +OBSTRUCTIONISTS(2) AH0 B - S T R AH1 K - SH AH0 - N IH0 S T S +OBSTRUCTIONISTS(3) AH0 B - S T R AH1 K - SH AH0 - N IH0 S S +OBSTRUCTIONISTS(4) AH0 B - S T R AH1 K - SH AH0 - N IH0 S +OBSTRUCTIONS AH0 B - S T R AH1 K - SH AH0 N Z +OBSTRUCTIVE AH0 B - S T R AH1 K - T IH0 V +OBTAIN AH0 B - T EY1 N +OBTAINABLE AH0 B - T EY1 - N AH0 - B AH0 L +OBTAINED AH0 B - T EY1 N D +OBTAINING AH0 B - T EY1 - N IH0 NG +OBTAINS AH0 B - T EY1 N Z +OBTRUDE AH0 B - T R UW1 D +OBTRUDES AH0 B - T R UW1 D Z +OBTRUSIVE AH0 B - T R UW1 - S IH0 V +OBTUSE AA0 B - T UW1 S +OBUCHOWSKI AH0 - B AH0 - HH AO1 F S - K IY0 +OBUCHOWSKI(2) OW0 - B Y UW0 - K AW1 S - K IY0 +OBUCHOWSKI(3) OW0 - B UW0 - K AW1 S - K IY0 +OBVERSE AH0 B - V ER1 S +OBVIATE AA1 B - V IY0 - EY2 T +OBVIATING AA1 B - V IY0 - EY2 - T IH0 NG +OBVIOUS AA1 B - V IY0 - AH0 S +OBVIOUSLY AA1 B - V IY0 - AH0 S - L IY0 +OBYRNE AA1 - B ER1 N +OCAIN OW0 - K AA0 - IY1 N +OCALA OW0 - K AE1 - L AH0 +OCALLAGHAN OW0 - K AE1 - L AH0 - G AH0 N +OCALLAHAN OW0 - K AE1 - L AH0 - HH AE2 N +OCAMPO OW0 - K AE1 M - P OW0 +OCANA OW0 - K AE1 - N AH0 +OCANAS OW0 - K AE1 - N AH0 Z +OCARROLL OW0 - K AE1 - R AH0 L +OCARROLL(2) OW0 - K EH1 - R AH0 L +OCASIO OW0 - K AA1 - S IY0 - OW0 +OCAW OW0 - K AO1 +OCAW'S OW0 - K AO1 Z +OCCASION AH0 - K EY1 - ZH AH0 N +OCCASIONAL AH0 - K EY1 - ZH AH0 - N AH0 L +OCCASIONALLY AH0 - K EY1 - ZH AH0 N - AH0 - L IY0 +OCCASIONALLY(2) AH0 - K EY1 ZH - N AH0 - L IY0 +OCCASIONALLY(3) AH0 - K EY1 - ZH AH0 N - L IY0 +OCCASIONED AH0 - K EY1 - ZH AH0 N D +OCCASIONS AH0 - K EY1 - ZH AH0 N Z +OCCHINO OW2 - K IY1 - N OW0 +OCCHIPINTI OW0 - K IY0 - P IY1 N - T IY0 +OCCHOA OW2 - CH OW1 - AH0 +OCCHOA'S OW2 - CH OW1 - AH0 Z +OCCIDENT AA1 K - S AH0 - D EH2 N T +OCCIDENTAL AA2 K - S AH0 - D EH1 N - T AH0 L +OCCIDENTAL'S AA2 K - S AH0 - D EH1 N - T AH0 L Z +OCCIDENTAL'S(2) AA2 K - S AH0 - D EH1 - N AH0 L Z +OCCIDENTAL(2) AA2 K - S AH0 - D EH1 - N AH0 L +OCCIDENTALE AA2 K - S IH0 - D EH1 N - T AH0 L +OCCIDENTALE'S AA2 K - S IH0 - D EH1 N - T AH0 L Z +OCCIPITAL AA0 K - S IH1 - P AH0 - T AH0 L +OCCLUSION AH0 - K L UW1 - ZH AH0 N +OCCULT AH0 - K AH1 L T +OCCUPANCY AA1 - K Y AH0 - P AH0 N - S IY0 +OCCUPANT AA1 - K Y AH0 - P AH0 N T +OCCUPANTS AA1 - K Y AH0 - P AH0 N T S +OCCUPATION AA2 - K Y AH0 - P EY1 - SH AH0 N +OCCUPATIONAL AA0 - K Y AH0 - P EY1 - SH AH0 - N AH0 L +OCCUPATIONS AA2 - K Y AH0 - P EY1 - SH AH0 N Z +OCCUPIED AA1 - K Y AH0 - P AY2 D +OCCUPIER AA1 - K Y AH0 - P AY2 - ER0 +OCCUPIERS AA1 - K Y AH0 - P AY2 - ER0 Z +OCCUPIES AA1 - K Y AH0 - P AY2 Z +OCCUPY AA1 - K Y AH0 - P AY2 +OCCUPYING AA1 - K Y AH0 - P AY2 - IH0 NG +OCCUR AH0 - K ER1 +OCCURED AH0 - K ER1 D +OCCURING AH0 - K ER1 - IH0 NG +OCCURRED AH0 - K ER1 D +OCCURRENCE AH0 - K ER1 - AH0 N S +OCCURRENCES AH0 - K ER1 - AH0 N - S IH0 Z +OCCURRING AH0 - K ER1 - IH0 NG +OCCURS AH0 - K ER1 Z +OCEAN OW1 - SH AH0 N +OCEAN'S OW1 - SH AH0 N Z +OCEANEERING OW2 - SH AH0 - N IH1 - R IH0 NG +OCEANFRONT OW2 - SH AH0 N - F R AH2 N T +OCEANGOING OW1 - SH AH0 N - G OW2 - IH0 NG +OCEANIC OW2 - SH IY0 - AE1 - N IH0 K +OCEANOGRAPHER OW2 - SH AH0 - N AA1 - G R AH0 - F ER0 +OCEANOGRAPHIC OW2 - SH AH0 N - AH0 - G R AE1 - F IH0 K +OCEANOGRAPHY OW2 - SH AH0 - N AA1 - G R AH0 - F IY0 +OCEANS OW1 - SH AH0 N Z +OCEANSIDE OW1 - SH AH0 N - S AY2 D +OCEANVIEW OW1 - SH AH0 N - V Y UW2 +OCELOT AA1 - S AH0 - L AA2 T +OCELOT'S AA1 - S AH0 - L AA2 T S +OCH AA1 K +OCHELTREE AA0 - CH IH0 L - T R IY1 +OCHOA AA2 - CH OW1 - AH0 +OCHOA(2) OW2 - CH OW1 - AH0 +OCHRA AA1 - K R AH0 +OCHRE OW1 - K ER0 +OCHS AA1 K S +OCHS(2) OW1 K S +OCHSENSCHLAGER AA1 K - S AH0 N - SH L AA2 - G ER0 +OCHSNER AA1 K S - N ER0 +OCILLA OW0 - S IH1 - L AH0 +OCKER AA1 - K ER0 +OCKERBLOOM AA1 - K ER0 - B L UW0 M +OCKERMAN AA1 - K ER0 - M AH0 N +OCLAIR AA1 - K L ER0 +OCON AH0 - K AA1 N +OCONNELL OW0 - K AA1 - N AH0 L +OCONNER AA1 - K AH0 - N ER0 +OCONNER(2) OW0 - K AA1 - N ER0 +OCONNOR OW0 - K AA1 - N ER0 +OCT AO0 K - T OW1 - B ER0 +OCT(2) AO1 K T +OCT. AO1 K T +OCT.(2) AO0 K - T OW1 - B ER0 +OCTAGON AA1 K - T AH0 - G AA2 N +OCTAGONAL AA0 K - T AE1 - G AH0 - N AH0 L +OCTAHEDRAL AA2 K - T AH0 - HH IY1 - D R AH0 L +OCTAHEDRON AA2 K - T AH0 - HH IY1 - D R AH0 N +OCTANE AA1 K - T EY0 N +OCTAVE AA1 K - T IH0 V +OCTAVES AA1 K - T IH0 V Z +OCTAVIA AA0 K - T EY1 - V IY0 - AH0 +OCTAVIO AA2 K - T EY1 - V IY0 - OW0 +OCTAVIUS AA0 K - T EY1 - V IY0 - AH0 S +OCTAVUS AA1 K - T AH0 - V UW0 S +OCTEL AA2 K - T EH1 L +OCTET AA0 K - T EH1 T +OCTILLION AA0 K - T IH1 - L Y AH0 N +OCTOBER AA0 K - T OW1 - B ER0 +OCTOBER'S AA0 K - T OW1 - B ER0 Z +OCTOGENARIAN AA2 K - T AH0 - JH IH0 - N EH1 - R IY0 - AH0 N +OCTOPI AA1 K - T AH0 - P AY0 +OCTOPUS AA1 K - T AH0 - P UH2 S +ODA OW1 - D AH0 +ODAIKO OW0 - D EY1 - K OW0 +ODANIEL AA1 - D AH0 - N IY0 L +ODAY OW1 - D EY0 +ODD AA1 D +ODDBALL AA1 D - B AO2 L +ODDBALLS AA1 D - B AO2 L Z +ODDEN AA1 - D AH0 N +ODDER AA1 - D ER0 +ODDEST AA1 - D AH0 S T +ODDI AA1 - D IY0 +ODDI(2) OW1 - D IY0 +ODDITIES AA1 - D AH0 - T IY0 Z +ODDITY AA1 - D AH0 - T IY0 +ODDLER AA1 D - L ER0 +ODDLER'S AA1 D - L ER0 Z +ODDLY AA1 D - L IY0 +ODDS AA1 D Z +ODDS-ON AA1 D - Z AA1 N +ODDSMAKER AA1 D Z - M EY2 - K ER0 +ODDSMAKERS AA1 D Z - M EY2 - K ER0 Z +ODDY AA1 - D IY0 +ODE OW1 D +ODEA AA1 - D IY0 - AH0 +ODED OW1 - D EH0 D +ODEGAARD AA1 - D IH0 - G AA0 R D +ODEGARD AA1 - D IH0 - G ER0 D +ODEKIRK AA1 - D IH0 - K ER0 K +ODELE OW0 - D EH1 - L IY0 +ODELET AA1 - D IH0 - L IH0 T +ODELETTE AA1 - D IH0 - L EH0 T +ODELIA OW0 - D EH1 - L IY0 - AH0 +ODELINDA OW0 - D EH0 - L IY1 N - D AH0 +ODELL OW0 - D EH1 L +ODELLA OW0 - D EH1 - L AH0 +ODEM OW1 - D IH0 M +ODEN OW1 - D AH0 N +ODENTHAL AA1 - D IH0 N - TH AH0 L +ODEON OW1 - D IY0 - AH0 N +ODER OW1 - D ER0 +ODES OW1 D Z +ODESSA OW0 - D EH1 - S AH0 +ODETICS OW0 - D EH1 - T IH0 K S +ODETTE OW2 - D EH1 T +ODGERS AA1 - JH ER0 Z +ODIAUM OW1 - D IY0 - AH0 M +ODIAUN OW1 - D IY0 - AH0 N +ODIER OW1 - D IY0 - ER0 +ODILIA OW0 - D IY1 - L IY0 - AH0 +ODIN OW1 - D AH0 N +ODIORNE OW0 - D IY0 - AO1 R - N IY0 +ODIOUS OW1 - D IY0 - AH0 S +ODLAND AA1 D - L AH0 N D +ODLE OW1 - D AH0 L +ODNEAL AA1 D - N AH0 L +ODOHERTY AA1 - D AH0 - HH ER0 - T IY0 +ODOLF AA1 - D OW0 L F +ODOM OW1 - D AH0 M +ODOMETER OW2 - D AA1 - M AH0 - T ER0 +ODOMETERS OW2 - D AA1 - M AH0 - T ER0 Z +ODOMS OW1 - D AH0 M Z +ODONALD AA1 - D AH0 - N AO0 L D +ODONNEL AA1 - D AH0 - N EH0 L +ODONNELL OW0 - D AA1 - N AH0 L +ODONOGHUE AA1 - D AH0 - N AA0 G - HH UW0 +ODONOHUE AA1 - D AH0 - N AA0 - HH Y UW0 +ODONOVAN AA0 - D AH0 N - OW1 - V AH0 N +ODOR OW1 - D ER0 +ODORANT OW1 - D ER0 - AH0 N T +ODORLESS OW1 - D ER0 - L AH0 S +ODOROUS OW1 - D ER0 - AH0 S +ODORS OW1 - D ER0 Z +ODOWD AA1 - D AW0 D +ODP OW1 - D IY1 - P IY1 +ODRISCOLL AA1 - D R IH0 - S K AA0 L +ODRISCOLL(2) OW0 - D R IH1 S - K AA0 L +ODUM OW1 - D AH0 M +ODWYER AA1 D - W IY0 - ER0 +ODYSSEUS OW0 - D IH1 - S IY0 - AH0 S +ODYSSEY AA1 - D AH0 - S IY0 +ODYSSEY'S AA1 - D AH0 - S IY0 Z +OEDIPAL EH1 - D AH0 - P AH0 L +OEDIPUS OW0 - D IY1 - P AH0 S +OEHLER OW1 - L ER0 +OEHLERT OW1 - L ER0 T +OEHLKE OW1 L K +OEHME OW1 M +OEHMEN OW1 - M AH0 N +OEHMENS OW1 - M AH0 N Z +OEHRLEIN AO1 R - L AY0 N +OEIEN OW1 - IY0 - AH0 N +OELKE OW1 L K +OELKERS OW1 L - K ER0 Z +OELMAN OW1 L - M AH0 N +OELRICH OW1 L - R IH0 K +OELSCHLAGER OW1 L SH - L EY0 - G ER0 +OERLIKON AO1 R - L IH0 - K AA2 N +OERTEL AO1 R - T AH0 L +OESCH OW1 SH +OESER OW1 - Z ER0 +OEST OW1 - IH0 S T +OESTERLE OW1 - S T ER0 - AH0 L +OESTERLING OW1 - S T ER0 - L IH0 NG +OESTERREICH OW1 - S T ER0 - AY0 K +OESTERREICHISCHE OW2 - S T ER0 - AY1 - K IH0 - SH IY0 +OESTREICH OW1 - S T R AY2 K +OESTREICHER OW1 - S T R AY2 - K ER0 +OETKEN OW1 T - K AH0 N +OETTING OW1 - T IH0 NG +OETTINGER OW1 - T IH0 N - JH ER0 +OETTINGER(2) OW1 - T IH0 - NG ER0 +OEUVRE UW1 - V R AH0 +OEUVRE(2) ER1 V +OF AH1 V +OF(2) AH0 V +OFALLON AA1 - F AH0 - L AA0 N +OFARRELL AA1 - F ER0 - EH0 L +OFC OW1 - EH1 F - S IY1 +OFELIA OW0 - F EY1 - L IY0 - AH0 +OFER OW1 - F ER0 +OFF AO1 F +OFF'S AO1 F S +OFFBEAT AO1 F - B IY1 T +OFFEN AO1 - F AH0 N +OFFEND AH0 - F EH1 N D +OFFENDED AH0 - F EH1 N - D AH0 D +OFFENDED(2) AH0 - F EH1 N - D IH0 D +OFFENDER AH0 - F EH1 N - D ER0 +OFFENDERS AH0 - F EH1 N - D ER0 Z +OFFENDING AH0 - F EH1 N - D IH0 NG +OFFENDS AH0 - F EH1 N D Z +OFFENSE AH0 - F EH1 N S +OFFENSES AH0 - F EH1 N - S IH0 Z +OFFENSIVE AH0 - F EH1 N - S IH0 V +OFFENSIVELY AH0 - F EH1 N - S IH0 V - L IY0 +OFFENSIVES AH0 - F EH1 N - S IH0 V Z +OFFER AO1 - F ER0 +OFFER'S AO1 - F ER0 Z +OFFERDAHL AA1 - F ER0 - D AA0 L +OFFERED AO1 - F ER0 D +OFFERER AO1 - F ER0 - ER0 +OFFERING AO1 - F ER0 - IH0 NG +OFFERING'S AO1 - F ER0 - IH0 NG Z +OFFERING'S(2) AO1 - F R IH0 NG Z +OFFERING(2) AO1 - F R IH0 NG +OFFERINGS AO1 - F ER0 - IH0 NG Z +OFFERINGS(2) AO1 - F R IH0 NG Z +OFFERMAN AO1 - F ER0 - M AH0 N +OFFERMANN AO1 - F ER0 - M AH0 N +OFFERS AO1 - F ER0 Z +OFFHAND AO1 F - HH AE1 N D +OFFICAL AH0 - F IH0 - SH AH0 L +OFFICALS AO1 - F IH0 - K AH0 L Z +OFFICE AO1 - F AH0 S +OFFICE'S AO1 - F AH0 - S IH0 Z +OFFICEHOLDER AO1 - F AH0 S - HH OW2 L - D ER0 +OFFICEHOLDERS AO1 - F AH0 S - HH OW2 L - D ER0 Z +OFFICEMAX AO1 - F AH0 S - M AE2 K S +OFFICER AO1 - F AH0 - S ER0 +OFFICER'S AO1 - F IH0 - S ER0 Z +OFFICER(2) AO1 - F IH0 - S ER0 +OFFICERS AO1 - F AH0 - S ER0 Z +OFFICERS' AO1 - F IH0 - S ER0 Z +OFFICERS(2) AO1 - F IH0 - S ER0 Z +OFFICES AO1 - F AH0 - S AH0 Z +OFFICES(2) AO1 - F AH0 - S IH0 Z +OFFICIAL AH0 - F IH1 - SH AH0 L +OFFICIAL'S AH0 - F IH1 - SH AH0 L Z +OFFICIALDOM AH0 - F IH1 - SH AH0 L - D AH0 M +OFFICIALLY AH0 - F IH1 - SH AH0 - L IY0 +OFFICIALS AH0 - F IH1 - SH AH0 L Z +OFFICIALS' AH0 - F IH1 - SH AH0 L Z +OFFICIATE AH0 - F IH1 - SH IY0 - EY2 T +OFFICIATED AH0 - F IH1 - SH IY0 - EY2 - T AH0 D +OFFICIATING AH0 - F IH1 - SH IY0 - EY2 - T IH0 NG +OFFICIO AH0 - F IH1 - S IY0 - OW0 +OFFIELD AA1 - F IY2 L D +OFFILL AO1 - F IH2 L +OFFING AO1 - F IH0 NG +OFFNER AA1 F - N ER0 +OFFORD AA1 - F ER0 D +OFFS AO1 F S +OFFSET AO0 F - S EH1 T +OFFSET(2) AO1 F - S EH2 T +OFFSETS AO1 F - S EH2 T S +OFFSETTING AO0 F - S EH1 - T IH0 NG +OFFSETTING(2) AO1 F - S EH2 - T IH0 NG +OFFSHOOT AO1 F - SH UW2 T +OFFSHOOTS AO1 F - SH UW2 T S +OFFSHORE AO1 F - SH AO1 R +OFFSPRING AO1 F - S P R IH2 NG +OFFSTAGE AO1 F - S T EY1 JH +OFFUTT AA1 - F AH0 T +OFILIA OW0 - F IY1 - L IY0 - AH0 +OFLAHERTY AA1 - F L AH0 - HH ER0 - T IY0 +OFLYNN AA1 - F L IH0 N +OFT AO1 F T +OFTEDAHL AA1 F - T IH0 - D AA0 L +OFTEL AA1 F - T EH2 L +OFTEN AO1 - F AH0 N +OFTEN(2) AO1 F - T AH0 N +OFTENER AO1 - F AH0 N - ER0 +OFTENER(2) AO1 F - T AH0 - N ER0 +OFTENTIMES AO1 - F AH0 N - T AY2 M Z +OFTENTIMES(2) AO1 F - T AH0 N - T AY2 M Z +OG AA1 G +OGAN OW1 - G AH0 N +OGARA OW0 - G AA1 - R AH0 +OGATA OW0 - G AA1 - T AH0 +OGAWA OW0 - G AA1 - W AH0 +OGBORN AA1 G - B ER0 N +OGBURN AA1 G - B ER0 N +OGDEN AA1 G - D AH0 N +OGG AA1 G +OGIER OW1 - G IY0 - ER0 +OGILVIE AA1 - JH IH0 L - V IY0 +OGILVIE(2) OW2 - G IH1 L - V IY0 +OGILVY OW1 - G AH0 L - V IY0 +OGILVY'S OW1 - G AH0 L - V IY0 Z +OGLALA OW0 - G L AA1 - L AH0 +OGLE OW1 - G AH0 L +OGLEBAY OW1 - G AH0 L - B EY2 +OGLED OW1 - G AH0 L D +OGLES OW1 - G AH0 L Z +OGLESBEE OW1 - G AH0 L Z - B IY2 +OGLESBY AA1 - G AH0 L S - B IY0 +OGLETHORPE OW1 - G AH0 L - TH AO2 R P +OGLETREE OW1 - G AH0 L - T R IY2 +OGNIBENE OW0 G - N IY0 - B EH1 - N AH0 +OGONI OW0 - G OW1 - N IY0 +OGONYOK OW0 - G OW1 - N Y AA0 K +OGORMAN AA1 - G ER0 - M AH0 N +OGRADY AH0 - G R AA1 - D IY0 +OGRE OW1 - G ER0 +OGREN AA1 - G R EH0 N +OGRESS OW1 - G R AH0 S +OGUIN OW0 - G UW1 - IY0 N +OGUINN AA1 - G IH0 N +OH OW1 +OH'S OW1 Z +OHAGAN OW0 - HH AA1 - G AA0 N +OHAIR AA1 - HH ER0 +OHALLORAN AA0 - HH AH0 - L AO1 - R AH0 N +OHANESIAN AA0 - HH AH0 - N EH1 - ZH IH0 N +OHANIAN AH0 - HH EY1 - N IY0 - AH0 N +OHANLON AH0 - HH AE1 N - L AH0 N +OHARE OW0 - HH AA1 - R EY0 +OHARRA AA1 - HH ER0 - AH0 +OHASHI OW0 - HH AA1 - SH IY0 +OHAVER AA1 - HH AH0 - V ER0 +OHBA OW1 - B AH0 +OHBAYASHI OW2 - B AA0 - Y AA1 - SH IY0 +OHEARN AA1 - HH ER0 N +OHERN AA1 - HH ER0 N +OHERRON AA1 - HH ER0 - AA0 N +OHIO OW0 - HH AY1 - OW0 +OHIO'S OW0 - HH AY1 - OW0 Z +OHIOAN OW2 - HH AY1 - OW2 - AH0 N +OHIOANS OW2 - HH AY1 - OW2 - AH0 N Z +OHKAWARA OW2 - K AA2 - W AA1 - R AH0 +OHL OW1 L +OHLAND OW1 - L AH0 N D +OHLENDORF OW1 - L IH0 N - D AO0 R F +OHLER OW1 - L ER0 +OHLIN OW1 - L IH0 N +OHLINGER OW1 - L IH0 - NG ER0 +OHLMAN OW1 L - M AH0 N +OHLMANN OW1 L - M AH0 N +OHLMEYER OW1 L - M AY2 R +OHLRICH OW1 L - R IH0 K +OHLSEN OW1 L - S AH0 N +OHLSON OW1 L - S AH0 N +OHLSSON OW1 L - S AH0 N +OHM OW1 M +OHM'S OW1 M Z +OHMAE OW1 - M EY2 +OHMAN OW1 - M AH0 N +OHMANN OW1 - M AH0 N +OHMER OW1 - M ER0 +OHMS OW1 M Z +OHMURA OW0 - M UW1 - R AH0 +OHNEMUS OW1 - N IH0 - M IH0 S +OHNSTAD OW1 N - S T AH0 D +OHR AO1 R +OHRT AO1 R T +OHS OW1 Z +OI OY1 +OIE OY1 +OIEN AA1 - IY0 N +OIL OY1 L +OIL'S OY1 L Z +OILED OY1 L D +OILER OY1 - L ER0 +OILERS OY1 - L ER0 Z +OILFIELD OY1 L - F IY2 L D +OILFIELDS OY1 L - F IY2 L D Z +OILING OY1 - L IH0 NG +OILMAN OY1 L - M AE2 N +OILMEN OY1 L - M EH1 N +OILS OY1 L Z +OILSEED OY1 L - S IY2 D +OILSEEDS OY1 L - S IY2 D Z +OILWELL OY1 L - W EH2 L +OILY OY1 - L IY0 +OINTMENT OY1 N T - M AH0 N T +OISHI OW0 - IY1 - SH IY0 +OJ OW1 - JH EY1 +OJA OW1 - Y AH0 +OJALA OW0 - Y AA1 - L AH0 +OJEDA OW0 - Y EY1 - D AH0 +OJI OW1 - JH IY0 +OJIBWA OW0 - JH IH1 - B W AH0 +OK OW1 - K EY1 +OKA OW1 - K AH0 +OKABE OW0 - K AA1 - B EY0 +OKADA OW0 - K AA1 - D AH0 +OKALOOSA AO2 - K AH0 - L UW1 - S AH0 +OKALOOSA(2) OW2 - K AH0 - L UW1 - S AH0 +OKAMOTO OW2 - K AH0 - M OW1 - T OW0 +OKAMURA OW2 - K AH0 - M UH1 - R AH0 +OKANE OW0 - K AA1 - N EY0 +OKANO OW0 - K AA1 - N OW0 +OKASAKI OW2 - K AH0 - S AA1 - K IY0 +OKASAN OW0 - K EY1 - Z AH0 N +OKAY OW1 - K EY1 +OKAYED OW1 - K EY1 D +OKAYS OW1 - K EY1 Z +OKAZ OW0 - K AA0 Z +OKAZAKI OW0 - K AA0 - Z AA1 - K IY0 +OKDO AO1 K - D OW2 +OKEECHOBEE OW0 - K IY2 - CH OW1 - B IY0 +OKEEFE AA1 - K IY0 F +OKEEFFE AA1 - K IY0 F +OKELLEY AA1 - K IH0 - L IY0 +OKELLY AA1 - K AH0 - L IY0 +OKELLY(2) OW0 - K EH1 - L IY0 +OKEN OW0 - K EY1 - AH0 N +OKERLUND AA1 - K ER0 - L AH0 N D +OKESON AA1 - K IH0 - S AH0 N +OKEY OW1 - K IY0 +OKI OW1 - K IY0 +OKIE OW1 - K IY0 +OKIMOTO OW0 - K IY0 - M OW1 - T OW0 +OKIN OW1 - K IH0 N +OKINAWA OW2 - K IH2 - N AA1 - W AH0 +OKINAWA(2) OW2 - K IY0 - N AA1 - W AH0 +OKINAWANS OW2 - K IH2 - N AA1 - W AH0 N Z +OKINAWANS(2) OW2 - K IY2 - N AA1 - W AH0 N Z +OKLAHOMA OW2 - K L AH0 - HH OW1 - M AH0 +OKLAHOMA'S OW2 - K L AH0 - HH OW1 - M AH0 Z +OKLAHOMAN OW2 - K L AH0 - HH OW1 - M AH0 N +OKLAHOMANS OW2 - K L AH0 - HH OW1 - M AH0 N Z +OKON OW1 - K OW0 N +OKONIEWSKI OW0 - K AA2 - N IY0 - EH1 F S - K IY0 +OKONIEWSKI(2) OW2 - K AH0 - N UW1 S - K IY0 +OKONSKI AH0 - K AA1 N - S K IY0 +OKPO AA1 K - P OW0 +OKRA OW1 - K R AH0 +OKRAY AA1 - K R EY0 +OKSANA AA2 K - S AE1 - N AH0 +OKSANA'S AA2 K - S AE1 - N AH0 Z +OKSENBERG AA1 K - S AH0 N - B ER0 G +OKUBO OW0 - K UW1 - B OW0 +OKUDA OW0 - K UW1 - D AH0 +OKUMA OW0 - K Y UW1 - M ER0 +OKUMURA OW0 - K UW0 - M UH1 - R AH0 +OKUN OW1 - K UW0 N +OKUNO OW0 - K Y UW1 - N OW0 +OKURA OW0 - K UW1 - R AH0 +OKUROWSKI OW0 - K ER0 - OW1 S - K IY0 +OKWU AO1 - K W UW0 +OL' OW1 L +OLA OW1 - L AH0 +OLACK OW1 - L AE0 K +OLAF OW1 - L AA0 F +OLAFSON AA1 - L AH0 F - S AH0 N +OLAGUE OW1 - L AA0 G +OLAH AH0 - L AA1 +OLAH(2) OW1 - L AH0 +OLAJUWON AH0 - L AY1 - JH UW0 - AA2 N +OLAJUWON'S AH0 - L AY1 - JH UW0 - AA2 N Z +OLAND AA1 - L AH0 N D +OLANDER AA1 - L AH0 N - D ER0 +OLANO AH0 - L AA1 - N OW0 +OLASKY OW0 - L AE1 S - K IY0 +OLATHE OW0 - L AE1 - TH IY0 +OLAUGHLIN AH0 - L AO1 - K L IH0 N +OLAY OW0 - L EY1 +OLAYAN OW0 - L AY1 - AH0 N +OLBERDING OW1 L - B ER0 - D IH0 NG +OLBRICH OW1 L - B R IH0 K +OLCOTT OW1 L - K AH0 T +OLCZAK OW1 L - CH AE0 K +OLD OW1 L D +OLD'S OW1 L D Z +OLD-TIMER OW0 L D - T AY1 - M ER0 +OLD-TIMERS OW1 L D - T AY1 - M ER0 Z +OLDAKER OW1 L - D AH0 - K ER0 +OLDANI OW0 L - D AA1 - N IY0 +OLDE OW1 L D +OLDEN OW1 L - D AH0 N +OLDENBURG OW1 L - D AH0 N - B ER0 G +OLDENKAMP OW1 L - D IH0 N - K AE0 M P +OLDER OW1 L - D ER0 +OLDEST OW1 L - D AH0 S T +OLDFASHIONED OW2 L D - F AE1 - SH AH0 N D +OLDFATHER OW1 L D - F AA2 - DH ER0 +OLDFIELD OW1 L D - F IY2 L D +OLDHAM OW1 L - D AH0 M +OLDIE OW1 L - D IY0 +OLDIES OW1 L - D IY0 Z +OLDMAN OW1 L D - M AH0 N +OLDROYD OW1 L - D R OY2 D +OLDS OW1 L D Z +OLDSMAR OW1 L D Z - M AA0 R +OLDSMOBILE OW1 L D Z - M OW0 - B IY2 L +OLDSMOBILE'S OW1 L D Z - M OW0 - B IY2 L Z +OLDSMOBILE'S(2) OW1 L Z - M OW0 - B IY2 L Z +OLDSMOBILES OW1 L D Z - M OW0 - B IY2 L Z +OLDSTER OW1 L D - S T ER0 +OLDSTERS OW1 L D - S T ER0 Z +OLDT OW1 L T +OLE OW1 L +OLE(2) OW2 - L EY1 +OLEA AA1 - L IY0 - AH0 +OLEAN OW0 - L IY1 N +OLEANDER OW1 - L IY0 - AE2 N - D ER0 +OLEANDRIN OW0 - L IY0 - AE1 N - D R IH0 N +OLEAR AA1 - L ER0 +OLEARY AA1 - L ER0 - IY0 +OLEASTER OW2 - L IY0 - AE1 - S T ER0 +OLEFIN OW1 - L AH0 - F IH0 N +OLEFINS OW1 - L AH0 - F IH0 N Z +OLEG OW1 - L AH0 G +OLEJNICZAK AH0 - L EY1 - N IH0 - CH AE0 K +OLEJNIK AH0 - L EY1 - N IH0 K +OLEKSIAK AH0 - L EH1 K - S IY0 - AE0 K +OLEKSY AH0 - L EH1 K - S IY0 +OLEN AA1 - L AH0 N +OLENDER AA1 - L EH0 N - D ER0 +OLENICK AA1 - L IH0 - N IH0 K +OLENIK AA1 - L IH0 - N IH0 K +OLEO OW1 - L IY0 - OW2 +OLEOYL OW2 - L IY0 - OY1 L +OLEOYLS OW2 - L IY0 - OY1 L Z +OLER OW1 - L ER0 +OLES OW1 L Z +OLES(2) OW2 - L EY1 Z +OLESEN AA1 - L IY0 - Z AH0 N +OLESKE OW1 - L AH0 S - K IY0 +OLESKY AH0 - L EH1 S - K IY0 +OLESON AA1 - L IH0 - S AH0 N +OLESTRA OW0 - L EH1 S - T R AH0 +OLEXA AH0 - L IY1 K - S AH0 +OLEY OW1 - L IY0 +OLFACTORY OW0 L - F AE1 K - T ER0 - IY0 +OLGA OW1 L - G AH0 +OLGUIN OW1 L - G IH0 N +OLICK OW1 - L IH0 K +OLIFF AA1 - L IH0 F +OLIGARCH OW1 - L IH0 - G AA2 R K +OLIGARCHS OW1 - L IH0 - G AA2 R K S +OLIGARCHY AA1 - L AH0 - G AA2 R - K IY0 +OLIGER AA1 - L IH0 - G ER0 +OLIGOCENE AA1 - L AH0 - G OW0 - S IY2 N +OLIGOPOLISTIC OW0 - L IH2 - G AH0 - P OW0 - L IH1 - S T IH0 K +OLIGOPOLY AA2 - L IH0 - G AA1 - P AH0 - L IY0 +OLIN OW1 - L IH0 N +OLIN'S OW1 - L IH0 N Z +OLINDA OW0 - L IY1 N - D AH0 +OLINDE AA1 - L IH0 N D +OLINGER AA1 - L IH0 - NG ER0 +OLIPHANT AA1 - L IH0 - F AH0 N T +OLIVA OW0 - L IY1 - V AH0 +OLIVARES OW0 - L IY0 - V AA1 - R EH0 S +OLIVAREZ OW0 - L IY0 - V AA1 - R EH0 Z +OLIVAS OW0 - L IY1 - V AA0 Z +OLIVE AA1 - L AH0 V +OLIVE(2) AA1 - L IH0 V +OLIVEIRA AA2 - L IH0 - V EY1 - R AH0 +OLIVER AA1 - L AH0 - V ER0 +OLIVER'S AA1 - L IH0 - V ER0 Z +OLIVER(2) AA1 - L IH0 - V ER0 +OLIVERA OW0 - L IY0 - V EH1 - R AH0 +OLIVERAS OW0 - L IY0 - V EH1 - R AA0 Z +OLIVERI OW0 - L IY0 - V EH1 - R IY0 +OLIVERIA AA2 - L IH0 - V IY1 - R IY0 - AH0 +OLIVERIO AA2 - L IH0 - V IY1 - R IY0 - OW0 +OLIVERO OW0 - L IY0 - V EH1 - R OW0 +OLIVEROS OW0 - L IY0 - V EH1 - R OW0 Z +OLIVES AA1 - L IH0 V Z +OLIVETO OW0 - L IY0 - V EY1 - T OW0 +OLIVETTE AA1 - L IH0 - V EH1 T +OLIVETTI AA2 - L IH0 - V EH1 - T IY0 +OLIVETTI'S AA2 - L IH0 - V EH1 - T IY0 Z +OLIVIA OW0 - L IH1 - V IY0 - AH0 +OLIVIER OW2 - L IH1 - V IY2 - EY2 +OLIVIERI OW0 - L IY0 - V IH1 - R IY0 +OLIVINE AA1 - L AH0 - V IY2 N +OLIVO AO0 - L IY1 - V OW0 +OLK OW1 K +OLKOWSKI OW0 L - K AO1 F S - K IY0 +OLLAR AA1 - L ER0 +OLLER AA1 - L ER0 +OLLEY AA1 - L IY0 +OLLIE AA1 - L IY0 +OLLIE(2) OW1 - L IY0 +OLLIFF AA1 - L IH0 F +OLLILA AA1 - L IH0 - L AH0 +OLLINGER AA1 - L IH0 - NG ER0 +OLLIS AO1 - L IY0 Z +OLLISON AA1 - L IH0 - S AH0 N +OLLY AA1 - L IY0 +OLMEDA OW0 L - M EY1 - D AH0 +OLMEDO OW0 L - M EY1 - D OW0 +OLMERT OW0 L - M ER0 T +OLMO OW1 L - M OW0 +OLMOS OW1 L - M OW0 Z +OLMSTEAD OW1 L M - S T EH2 D +OLNEY OW1 L - N IY0 +OLOF OW1 - L AO0 F +OLOFSON AA1 - L AH0 F - S AH0 N +OLOKUEI OW2 - L OW0 - K UW1 - IY0 +OLOKUEI'S OW2 - L OW0 - K UW1 - IY0 Z +OLOUGHLIN AH0 - L AW1 K - L IH0 N +OLOVO AH0 - L AO1 - V OW0 +OLSEN OW1 L - S AH0 N +OLSHAN OW1 L - SH AH0 N +OLSHANSKY OW1 L - SH AH0 N - S K IY0 +OLSHEFSKI OW0 L - SH EH1 F S - K IY0 +OLSHER OW1 L - SH ER0 +OLSON OW1 L - S AH0 N +OLSON'S OW1 L - S AH0 N Z +OLSSON OW1 L - S AH0 N +OLSTAD OW1 L - S T AH0 D +OLSTEN OW1 L - S T AH0 N +OLSZEWSKI OW0 L - SH EH1 F S - K IY0 +OLT OW1 L T +OLTHOFF OW1 L T - HH AO2 F +OLTMAN OW1 L T - M AH0 N +OLTMANN OW1 L T - M AH0 N +OLTMANNS OW1 L T - M AH0 N Z +OLUND AA1 - L AH0 N D +OLVA OW1 L - V AH0 +OLVER OW1 L - V ER0 +OLVERA OW0 L - V EH1 - R AH0 +OLVEY OW1 L - V IY0 +OLYMPIA OW0 - L IH1 M - P IY0 - AH0 +OLYMPIA'S OW0 - L IH1 M - P IY0 - AH0 Z +OLYMPIAD OW0 - L IH1 M - P IY0 - AE2 D +OLYMPIAN OW0 - L IH1 M - P IY0 - AH0 N +OLYMPIANS OW0 - L IH1 M - P IY0 - AH0 N Z +OLYMPIAS OW0 - L IH1 M - P IY0 - AH0 S +OLYMPIC OW0 - L IH1 M - P IH0 K +OLYMPIC'S OW0 - L IH1 M - P IH0 K S +OLYMPICS OW0 - L IH1 M - P IH0 K S +OLYMPUS OW0 - L IH1 M - P AH0 S +OMA OW1 - M AH0 +OMAAR OW1 - M AA0 R +OMAHA OW1 - M AH0 - HH AA2 +OMAHA'S OW1 - M AH0 - HH AA2 Z +OMAHONEY AA1 - M AH0 - HH AA0 - N IY0 +OMAHONY AA1 - M AH0 - HH AH0 - N IY0 +OMALLEY AA1 - M AH0 - L IY0 +OMAN OW0 - M AA1 N +OMANI OW0 - M AA1 - N IY0 +OMANS OW0 - M AA1 N Z +OMAR OW1 - M AA0 R +OMARA OW0 - M AA1 - R AH0 +OMARSKA OW0 - M AA1 R - S K AH0 +OMARY AH0 - M EH1 - R IY0 +OMBUDSMAN AA1 M - B AH0 D Z - M AH0 N +OMDAHL AA1 M - D AA2 L +OMEAD OW0 - M IY1 D +OMEARA OW2 - M IY1 - R AH0 +OMEGA OW0 - M EH1 - G AH0 +OMEGA(2) OW0 - M EY1 - G AH0 +OMELET AA1 M - L AH0 T +OMELETS AA1 M - L AH0 T S +OMELIA OW0 - M EH1 - L IY0 - AH0 +OMEN OW1 - M AH0 N +OMENS OW1 - M AH0 N Z +OMER OW1 - M ER0 +OMINOUS AA1 - M AH0 - 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T AH0 S +OPULENCE AA1 - P Y AH0 - L AH0 N S +OPULENT AA1 - P Y AH0 - L AH0 N T +OPUS OW1 - P AH0 S +OQUENDO OW0 - K W EH1 N - D OW0 +OQUIN OW0 - K W IY1 N +OQUINN OW0 - K W IY1 N +OR AO1 R +OR(2) ER0 +ORA AO1 - R AH0 +ORABEL AO0 - R AA0 - B EH1 L +ORABELLE AO1 - R AH0 - B AH0 L +ORACLE AO1 - R AH0 - K AH0 L +ORACLE'S AO1 - R AH0 - K AH0 L Z +ORACLES AO1 - R AH0 - K AH0 L Z +ORADOUR AO1 - R AH0 - D AO2 R +ORAFLEX AO1 - R AH0 - F L EH2 K S +ORAHOOD AO1 - R AH0 - HH UH2 D +ORAL AO1 - R AH0 L +ORALIA AO0 - R AA1 - L IY0 - AH0 +ORALIE AO1 - R AH0 - L IY0 +ORALLY AO1 - R AH0 - L IY0 +ORAM AO1 - R AH0 M +ORAN AO0 - R AA1 N +ORAND AO1 - R AH0 N D +ORANGE AO1 - R AH0 N JH +ORANGE(2) AO1 - R IH0 N JH +ORANGEBURG AO1 - R AH0 N JH - B ER0 G +ORANGES AO1 - R AH0 N - JH AH0 Z +ORANGES(2) AO1 - R IH0 N - JH IH0 Z +ORANGINA AO0 - R AE0 N - JH IY1 - N ER0 +ORANGINA(2) AO0 - R AE0 N - JH IY1 - N AH0 +ORANGUTAN AO0 - R AE1 NG - AH0 - T AE0 N +ORANGUTAN'S AO0 - R AE1 NG - AH0 - T AE0 N Z +ORANGUTAN'S(2) AO0 - 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K AH0 S - T R AH0 +ORCHESTRA'S AO1 R - K AH0 S - T R AH0 Z +ORCHESTRAL AO0 R - K EH1 S - T R AH0 L +ORCHESTRALLY AO0 R - K EH1 S - T R AH0 - L IY0 +ORCHESTRAS AO1 R - K AH0 S - T R AH0 Z +ORCHESTRATE AO1 R - K IH0 - S T R EY2 T +ORCHESTRATED AO1 R - K IH0 - S T R EY2 - T IH0 D +ORCHESTRATES AO1 R - K AH0 - S T R EY2 T S +ORCHESTRATING AO1 R - K IH0 - S T R EY2 - T IH0 NG +ORCHESTRATION AO2 R - K AH0 S - T R EY1 - SH AH0 N +ORCHESTRATIONS AO2 R - K AH0 S - T R EY1 - SH AH0 N Z +ORCHID AO1 R - K AH0 D +ORCHIDS AO1 R - K AH0 D Z +ORCUTT AO1 R - K AH0 T +ORD AO1 R D +ORDAIN AO0 R - D EY1 N +ORDAINED AO0 R - D EY1 N D +ORDAINING AO0 R - D EY1 - N IH0 NG +ORDAZ AO1 R - D AA0 Z +ORDEAL AO0 R - D IY1 L +ORDEALS AO0 R - D IY1 L Z +ORDELLA AO2 R - D EH1 - L AH0 +ORDER AO1 R - D ER0 +ORDER'S AO1 R - D ER0 Z +ORDERED AO1 R - D ER0 D +ORDERING AO1 R - D ER0 - IH0 NG +ORDERLINESS AO1 R - D ER0 - L IY0 - N AH0 S +ORDERLY AO1 R - D ER0 - L IY0 +ORDERS AO1 R - D ER0 Z +ORDINANCE AO1 R - D AH0 - N AH0 N S +ORDINANCES AO1 R - 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L AE1 - N AH0 +OREM AO1 - R IH0 M +OREN AO1 - R AH0 N +ORENDA AO0 - R EH1 N - D AH0 +ORENDORFF AO1 - R IH0 N - D AO0 R F +ORENS AO1 - R AH0 N Z +ORENSTEIN AO1 - R AH0 N - S T AY0 N +ORENSTEIN(2) AO1 - R AH0 N - S T IY0 N +ORENTHAL AO1 - R AH0 N - TH AA2 L +OREO AO1 - R IY0 - OW0 +ORES AO1 R Z +ORESKOVICH AO0 - R EH1 - S K AH0 - V IH0 CH +ORESTES AO0 - R EH1 - S T IY0 Z +ORF AO1 R F +ORFIELD AO1 R - F IY0 L D +ORFORD AO1 R - F ER0 D +ORG AO1 R G +ORGAN AO1 R - G AH0 N +ORGANELLES AO2 R - G AH0 - N EH1 L Z +ORGANIC AO0 R - G AE1 - N IH0 K +ORGANICALLY AO0 R - G AE1 - N IH0 K - L IY0 +ORGANISATION AO2 R - G AH0 - N IH0 - Z EY1 - SH AH0 N +ORGANISM AO1 R - G AH0 - N IH2 - Z AH0 M +ORGANISM'S AO1 R - G AH0 - N IH2 - Z AH0 M Z +ORGANISMIC AO2 R - G AH0 - N IH1 Z - M IH0 K +ORGANISMS AO1 R - G AH0 - N IH2 - Z AH0 M Z +ORGANIST AO1 R - G AH0 - N AH0 S T +ORGANIZATION AO2 R - G AH0 - N AH0 - Z EY1 - SH AH0 N +ORGANIZATION'S AO2 R - G AH0 - N IH0 - Z EY1 - SH AH0 N Z +ORGANIZATIONAL AO2 R - G AH0 - N AH0 - Z EY1 - SH AH0 - N AH0 L +ORGANIZATIONS AO2 R - G AH0 - N AH0 - Z EY1 - SH AH0 N Z +ORGANIZE AO1 R - G AH0 - N AY2 Z +ORGANIZED AO1 R - G AH0 - N AY2 Z D +ORGANIZER AO1 R - G AH0 - N AY2 - Z ER0 +ORGANIZERS AO1 R - G AH0 - N AY2 - Z ER0 Z +ORGANIZES AO1 R - G AH0 - N AY2 - Z IH0 Z +ORGANIZING AO1 R - G AH0 - N AY2 - Z IH0 NG +ORGANOGENESIS AO2 R - G AH0 - N OW0 - JH EH1 - N AH0 - S IH0 S +ORGANS AO1 R - G AH0 N Z +ORGANUM AO1 R - G AH0 - N AH0 M +ORGASM AO1 R - G AE0 - Z AH0 M +ORGASMS AO1 R - G AE0 - Z AH0 M Z +ORGEL AO1 R - G AH0 L +ORGERON AO1 R - G ER0 - AH0 N +ORGIES AO1 R - JH IY0 Z +ORGILL AO1 R - JH AH0 L +ORGOTEIN AO1 R - G OW0 - T AY2 N +ORGY AO1 R - JH IY0 +ORI AO1 - R IY0 +ORIANA AO0 - R IY0 - AE1 - N AH0 +ORICK AO1 - R IH0 K +ORIELDA AO0 - R IY1 L - D AH0 +ORIELLE AO1 - R IY0 - EH0 L +ORIENT AO1 - R IY0 - EH2 N T +ORIENTAL AO2 - R IY0 - EH1 N - T AH0 L +ORIENTAL(2) AO2 - R IY0 - EH1 - N AH0 L +ORIENTALS AO2 - R IY0 - EH1 N - T AH0 L Z +ORIENTALS(2) AO2 - R IY0 - EH1 - N AH0 L Z +ORIENTATED AO1 - R IY0 - AH0 N - T EY2 - T IH0 D +ORIENTATION AO2 - R IY0 - EH0 N - T EY1 - SH AH0 N +ORIENTATIONS AO2 - R IY0 - EH0 N - T EY1 - SH AH0 N Z +ORIENTED AO1 - R IY0 - EH2 N - T AH0 D +ORIENTED(2) AO1 - R IY0 - EH2 N - T IH0 D +ORIFICE AO1 - R AH0 - F AH0 S +ORIFICES AO1 - R AH0 - F AH0 - S AH0 Z +ORIGIN AO1 - R AH0 - JH AH0 N +ORIGINAL ER0 - IH1 - JH AH0 - N AH0 L +ORIGINALITY ER0 - IH2 - JH AH0 - N AE1 - L IH0 - T IY0 +ORIGINALLY ER0 - IH1 - JH AH0 - N AH0 - L IY0 +ORIGINALLY(2) ER0 - IH1 JH - N AH0 - L IY0 +ORIGINALS ER0 - IH1 - JH AH0 - N AH0 L Z +ORIGINATE ER0 - IH1 - JH AH0 - N EY2 T +ORIGINATED ER0 - IH1 - JH AH0 - N EY2 - T AH0 D +ORIGINATED(2) AO0 - R IH1 - JH AH0 - N EY2 - T IH0 D +ORIGINATES ER0 - IH1 - JH AH0 - N EY2 T S +ORIGINATING ER0 - IH1 - JH AH0 - N EY2 - T IH0 NG +ORIGINATION ER0 - IH2 - JH AH0 - N EY1 - SH AH0 N +ORIGINATIONS ER0 - IH2 - JH AH0 - N EY1 - SH AH0 N Z +ORIGINATOR ER0 - IH1 - JH AH0 - N EY2 - T ER0 +ORIGINATORS ER0 - IH1 - JH AH0 - N EY2 - T ER0 Z +ORIGINS AO1 - R AH0 - JH IH0 N Z +ORILEY AO1 - R IH0 - L IY0 +ORILEY(2) OW0 - R AY1 - L IY0 +ORILLA AO0 - R IH1 - L AH0 +ORIN AO1 - R IH0 N +ORINDA ER0 - IH1 N - D AH0 +ORINOCO AO2 - R AH0 - N OW1 - K OW0 +ORIOLA AO0 - R IY0 - OW1 - L AH0 +ORIOLE AO1 - R IY0 - OW2 L +ORIOLES AO1 - R IY0 - OW2 L Z +ORIOLES' AO1 - R IY0 - OW2 L Z +ORION OW0 - R AY1 - AH0 N +ORION'S OW0 - R AY1 - AH0 N Z +ORION'S(2) AO0 - R AY1 - AH0 N Z +ORION(2) AO0 - R AY1 - AH0 N +ORIORDAN OW0 - R IH1 R - D AH0 N +ORIORDAN(2) AO0 - R IH1 R - D AH0 N +ORITZ AO1 - R IH0 T S +ORIX AO1 - R IH0 K S +ORKEM AO1 R - K AH0 M +ORKIN AO1 R - K IH0 N +ORKNEY AO1 R K - N IY0 +ORKY AO1 R - K IY0 +ORLAN AO1 R - L AH0 N +ORLAND AO1 R - L AH0 N D +ORLANDA AO0 R - L AA1 N - D AH0 +ORLANDI AO0 R - L AA1 N - D IY0 +ORLANDO AO0 R - L AE1 N - D OW0 +ORLANDO'S AO0 R - L AE1 N - D OW0 Z +ORLEAN AO1 R - L IY0 - AH0 N +ORLEAN'S AO1 R - L IY0 - AH0 N Z +ORLEAN'S(2) AO1 R - L IY0 N Z +ORLEANIAN AO2 R - L IY0 - AH1 - N IY0 - AH0 N +ORLEANIANS AO2 R - L IY0 - AH1 - N IY0 - AH0 N Z +ORLEANS AO1 R - L IY0 - AH0 N Z +ORLEANS(2) AO1 R - L IY0 N Z +ORLENA AO1 R - L IH0 - N AH0 +ORLENE AO1 R - L IY2 N +ORLICH AO1 R - L IH0 K +ORLICK AO1 R - L IH0 K +ORLOFF AO1 R - L AO0 F +ORLOSKI AO0 R - L AW1 S - K IY0 +ORLOSKY AO0 R - L OW1 S - K IY0 +ORLOWSKI AO0 R - L AO1 F S - K IY0 +ORLY AO1 R - L IY0 +ORMAN AO1 R - M AH0 N +ORMAND AO1 R - M AH0 N D +ORME AO1 R M +ORMEROD AO1 R - M ER0 - AH0 D +ORMES AO1 R M Z +ORMISTON AO1 R - M IH0 - S T AA0 N +ORMOND AO1 R - M AH0 N D +ORMONDE AO1 R - M AH0 N D +ORMSBEE AO1 R M Z - B IY0 +ORMSBY AO1 R M Z - B IY0 +ORN AO1 R N +ORNA AO1 R - N AH0 +ORNAMENT AO1 R - N AH0 - M AH0 N T +ORNAMENTAL AO2 R - N AH0 - M EH1 N - T AH0 L +ORNAMENTATION AO2 R - N AH0 - M EH0 N - T EY1 - SH AH0 N +ORNAMENTED AO1 R - N AH0 - M EH2 N - T IH0 D +ORNAMENTS AO1 R - N AH0 - M AH0 N T S +ORNATE AO0 R - N EY1 T +ORNDA AO1 R N - D AH0 +ORNDOFF AO1 R N - D AO0 F +ORNDORFF AO1 R N - D AO0 R F +ORNE AO1 R N +ORNELAS AO1 R - N IH0 - L AH0 Z +ORNELLA AO0 R - N EH1 - L AH0 +ORNELLAS AO0 R - N EH1 - L AH0 Z +ORNER AO1 R - N ER0 +ORNERY AO1 R - N ER0 - IY0 +ORNETTE AO2 R - N EH1 T +ORNISH AO1 R - N IH0 SH +ORNITHOLOGICAL AO2 R - N IH0 - TH AH0 - L AO1 - JH IH0 - K AH0 L +ORNITHOLOGY AO2 R - N IH0 - TH AA1 - L AH0 - JH IY0 +ORNSTEIN AO1 R N - S T AY0 N +ORNSTEIN(2) AO1 R N - S T IY0 N +ORO AO1 - R OW0 +OROARK AO1 - R AO0 R K +OROGENIC AO2 - R AH0 - JH EH1 - N IH0 K +OROGIL AO1 - R OW0 - G IH2 L +OROGRAPHIC AO2 - R AH0 - G R AE1 - F IH0 K +ORONA AO0 - R OW1 - N AH0 +OROPEZA AO0 - R OW0 - P EH1 - Z AH0 +OROS AO1 - R OW0 Z +OROSCO AO0 - R OW1 - S K OW0 +OROSZ AO1 - R AH0 SH +OROURKE ER0 - UH1 R K +OROZCO AO0 - R OW1 Z - K OW0 +ORPAH AO1 R - P AA0 +ORPHAN AO1 R - F AH0 N +ORPHANAGE AO1 R - F AH0 - N AH0 JH +ORPHANAGES AO1 R - F AH0 - N IH0 - JH IH0 Z +ORPHANED AO1 R - F AH0 N D +ORPHANING AO1 R - F AH0 - N IH0 NG +ORPHANS AO1 R - F AH0 N Z +ORPHEE AO1 R - F IY0 +ORPHEUM AO1 R - F IY0 - UW0 M +ORPHEUS AO1 R - F IY0 - AH0 S +ORPHIC AO1 R - F IH0 K +ORPIMENT AO1 R - P AH0 - M AH0 N T +ORR AO1 R +ORRAN AO0 - R AA1 N +ORRELL AO0 - R EY1 L +ORREN AO1 - R AH0 N +ORRERY AO1 - R ER0 - IY0 +ORRICK AO1 - R IH0 K +ORRICO AO0 - R IY1 - K OW0 +ORRIN AO1 - R IH0 N +ORRIS AO1 - R IH0 S +ORRISON AO1 - R IH0 - S AH0 N +ORSA AO1 R - S AH0 +ORSAK AO1 R - S AH0 K +ORSAY AO2 R - S EY1 +ORSBORN AO1 R S - B ER0 N +ORSBURN AO1 R S - B ER0 N +ORSER AO1 R - S ER0 +ORSI AO1 R - S IY0 +ORSINI AO0 R - S IY1 - N IY0 +ORSINO AO0 R - S IY1 - N OW0 +ORSO AO1 R - S OW0 +ORSOLA AO0 R - S OW1 - L AH0 +ORSON AO1 R - S AH0 N +ORT AO1 R T +ORTA AO1 R - T AH0 +ORTEGA AO0 R - T EY1 - G AH0 +ORTEGA'S AO0 R - T EY1 - G AH0 Z +ORTEGAS AO0 R - T EY1 - G AH0 S +ORTEGO AO0 R - T EY1 - G OW0 +ORTEGON AO0 R - T EY0 - G AO1 N +ORTEN AO1 R - T AH0 N +ORTENZIO AO0 R - T EH1 N - Z IY0 - OW0 +ORTEZ AO0 R - T EH1 Z +ORTH AO1 R TH +ORTHO AO1 R - TH OW2 +ORTHOCLASE AO1 R - TH AH0 - K L EY2 S +ORTHODONTIA AO2 R - TH AH0 - D AA1 N - CH IY0 - AH0 +ORTHODONTIC AO2 R - TH AH0 - D AA1 N - T IH0 K +ORTHODONTICS AO2 R - TH AH0 - D AA1 N - T IH0 K S +ORTHODONTIST AO2 R - TH AH0 - D AA1 N - T AH0 S T +ORTHODONTIST'S AO2 R - TH AH0 - D AA1 N - T AH0 S T S +ORTHODONTISTS AO2 R - TH AH0 - D AA1 N - T AH0 S T S +ORTHODONTISTS(2) AO2 R - TH AH0 - D AA1 N - T AH0 S S +ORTHODONTISTS(3) AO2 R - TH AH0 - D AA1 N - T AH0 S +ORTHODOX AO1 R - TH AH0 - D AA2 K S +ORTHODOXY AO1 R - TH AH0 - D AA2 K - S IY0 +ORTHOGRAPHY AO0 R - TH AA1 - G R AH0 - F IY0 +ORTHOPEDIC AO2 R - TH AH0 - P IY1 - D IH0 K +ORTHOPEDIST AO2 R - TH AH0 - P IY1 - D AH0 S T +ORTHOPEDISTS AO2 R - TH AH0 - P IY1 - D AH0 S T S +ORTHOPEDISTS(2) AO2 R - TH AH0 - P IY1 - D AH0 S S +ORTHOPEDISTS(3) AO2 R - TH AH0 - P IY1 - D AH0 S +ORTIS AO1 R - T IH0 S +ORTIZ AO2 R - T IY1 Z +ORTLIEB AO1 R T - L IY2 B +ORTLOFF AO1 R T - L AO0 F +ORTMAN AO1 R T - M AH0 N +ORTMANN AO1 R T - M AH0 N +ORTNER AO1 R T - N ER0 +ORTOLANO AO0 R - T OW0 - L AA1 - N OW0 +ORTON AO1 R - T AH0 N +ORTWEIN AO1 R - T W AY0 N +ORTWIN AO1 R T - W IH0 N +ORUM AO1 - R AH0 M +ORVA AO1 R - V AH0 +ORVAL AO1 R - V AH0 L +ORVILLE AO1 R - V IH0 L +ORVIN AO1 R - V IH0 N +ORVIS AO1 R - V IH0 S +ORWELL AO1 R - W EH2 L +ORWELL'S AO1 R - W EH2 L Z +ORWELLIAN AO2 R - W EH1 - L IY0 - AH0 N +ORWICK AO1 R - W IH0 K +ORWIG AO1 R - W IH0 G +ORY AO1 - R IY0 +ORYX AO1 - R IH0 K S +ORZECH AO1 R - Z IH0 HH +ORZECHOWSKI AO0 R - Z IH0 - HH AO1 F S - K IY0 +ORZEL AO1 R - Z AH0 L +OS AA1 S +OSAGE OW0 - S EY1 JH +OSAGES OW0 - S EY1 - JH AH0 Z +OSAKA OW0 - S AA1 - K AH0 +OSAKE OW0 - S AA1 - K IY0 +OSAKI OW0 - S AA1 - K IY0 +OSAKOWA OW2 - S AH0 - K OW1 - AH0 +OSAKOWA'S OW2 - S AH0 - K OW1 - AH0 Z +OSAMA OW0 - S AA1 - M AH0 +OSAMU OW0 - S AA1 - M UW0 +OSBERG AA1 S - B ER0 G +OSBERT AA1 S - B ER0 T +OSBON AA1 S - B AH0 N +OSBORN AO1 Z - B AO2 R N +OSBORNE AO1 Z - B AO2 R N +OSBORNE'S AO1 Z - B AO2 R N Z +OSBOURN AA1 S - B ER0 N +OSBOURNE AA1 S - B ER0 N +OSBUN AA1 S - B AH0 N +OSBURN AA1 S - B ER2 N +OSBY AA1 S - B IY0 +OSCALUS AO1 - S K AH0 - L AH0 S +OSCAR AO1 - S K ER0 +OSCAR'S AO1 - S K ER0 Z +OSCARS AO1 - S K ER0 Z +OSCARSON AA1 S - K AA0 R - S AH0 N +OSCEOLA AO2 S - K IY0 - OW1 - L AH0 +OSCEOLA(2) AO2 - S IY0 - OW1 - L AH0 +OSCILLATE AA1 - S AH0 - L EY2 T +OSCILLATES AA1 - S AH0 - L EY2 T S +OSCILLATING AA1 - S AH0 - L EY2 - T IH0 NG +OSCILLATION AA2 - S AH0 - L EY1 - SH AH0 N +OSCILLATIONS AA2 - S AH0 - L EY1 - SH AH0 N Z +OSCILLATOR AA1 - S AH0 - L EY2 - T ER0 +OSCILLATORS AA1 - S AH0 - L EY2 - T ER0 Z +OSCILLATORY AA1 - S AH0 - L AH0 - T AO2 - R IY0 +OSCILLOSCOPE AO2 - S IH1 - L AH0 - S K OW2 P +OSCILLOSCOPES AO2 - S IH1 - L AH0 - S K OW2 P S +OSCO AA1 - S K OW0 +OSE OW1 Z +OSEGUERA OW0 - S EY0 - G EH1 - R AH0 +OSER OW1 - S ER0 +OSGOOD AA1 S - G UH2 D +OSH AA1 SH +OSHA OW1 - SH AH0 +OSHA'S OW1 - SH AH0 Z +OSHAF OW1 - SH AA0 F +OSHATZ OW0 - SH AE1 T S +OSHAUGHNESSY OW2 - SH AA1 - N IH0 - S IY0 +OSHAWA AO2 - SH AA1 W - AH0 +OSHEA AA1 - SH IY0 - AH0 +OSHEL AA1 - SH AH0 L +OSHELL AA1 - SH AH0 L +OSHER AA1 - SH ER0 +OSHIELDS AA1 - SH IY0 L D Z +OSHIMA OW0 - SH IY1 - M AH0 +OSHIRO OW0 - SH IH1 - R OW0 +OSHITA OW0 - SH IY1 - T AH0 +OSHKOSH AO1 SH - K AO2 SH +OSHMAN AO1 SH - M AH0 N +OSHMAN'S AO1 SH - M AH0 N Z +OSIECKI AH0 - S IY1 T - S K IY0 +OSIKA AH0 - S AY1 - K AH0 +OSINSKI AH0 - S IH1 N - S K IY0 +OSKAR AO1 - S K ER0 +OSLAND AA1 S - L AH0 N D +OSLER AA1 Z - L ER0 +OSLEY AA1 S - L IY0 +OSLIN AA1 - S L IH0 N +OSLO AA1 Z - L OW0 +OSLUND AA1 S - L AH0 N D +OSMAN AA1 S - M AH0 N +OSMAR AA1 S - M ER0 +OSMENA AO2 Z - M IY1 - N AH0 +OSMENT AA1 S - M AH0 N T +OSMER AA1 - S AH0 - M ER0 +OSMIUM AA1 Z - M IY0 - AH0 M +OSMON AA1 S - M AH0 N +OSMOND AA1 S - M AH0 N D +OSMONDS AO1 Z - M AH0 N D Z +OSMOSIS AO2 Z - M OW1 - S IH0 S +OSMOTIC AA0 Z - M AA1 - T AH0 K +OSMUN AA1 Z - M AH0 N +OSMUND AA1 S - M AH0 N D +OSMUNDSON AA1 Z - M AH0 N D - S AH0 N +OSORIO OW0 - S AO1 - R IY0 - OW0 +OSOWSKI AH0 - S AO1 F S - K IY0 +OSPINA OW0 - S P IY1 - N AH0 +OSPREY AO1 S - P R IY0 +OSRED AA1 - S ER0 D +OSRIC AA1 Z - R IH0 K +OSS AO1 S +OSSA AA1 - S AH0 +OSSETIA AA2 - S EH1 - SH Y AH0 +OSSETIA(2) AA2 - S IY1 - SH Y AH0 +OSSETIAN AA2 - S EH1 - SH Y IH0 N +OSSETIAN(2) AA2 - S IY1 - SH Y IH0 N +OSSETIANS AA2 - S EH1 - SH Y IH0 N Z +OSSETIANS(2) AA2 - S IY1 - SH Y IH0 N Z +OSSICLES AA1 - S AH0 - K AH0 L Z +OSSIFICATION AA2 - S AH0 - F AH0 - K EY1 - SH AH0 N +OSSIFIED AA1 - S AH0 - F AY2 D +OSSIFY AA1 - S AH0 - F AY2 +OSSMAN AA1 S - M AH0 N +OSSO OW1 - S OW0 +OSSWALD AA1 - S W AH0 L D +OST OW1 S T +OSTANKINO AA1 - S T AH0 N - K IH1 - N OW0 +OSTBERG AA1 S T - B ER0 G +OSTBY AA1 S T - B IY0 +OSTEEN AA1 - S T IY2 N +OSTEN AA1 - S AH0 N +OSTENDORF AA1 - S T AH0 N - D AO0 R F +OSTENSIBLE AA0 - S T EH1 N - S AH0 - B AH0 L +OSTENSIBLY AA0 - S T EH1 N - S AH0 - B L IY0 +OSTENSON AA1 - S T IH0 N - S AH0 N +OSTENTATION AO2 - S T EH0 N - T EY1 - SH AH0 N +OSTENTATIOUS AA2 - S T AH0 N - T EY1 - SH AH0 S +OSTENTATIOUSLY AA2 - S T AH0 N - T EY1 - SH AH0 S - L IY0 +OSTEOARTHRITIS AA2 - S T IY0 - OW2 - AA0 R TH - R AY1 - T AH0 S +OSTEOPATHIC AA2 - S T IY0 - AH0 - P AE1 - TH IH0 K +OSTEOPOROSIS AO2 - S T IY0 - AA2 - P ER0 - OW1 - S IH0 S +OSTER AA1 - S T ER0 +OSTERBERG AA1 - S T ER0 - B ER0 G +OSTERGAARD AA1 - S T ER0 - G AA0 R D +OSTERGARD AA1 - S T ER0 - G ER0 D +OSTERGREN AA1 - S T ER0 - G R EH0 N +OSTERHAUS AA1 - S T ER0 - HH AW0 S +OSTERHOFF OW1 - S T ER0 - HH AO2 F +OSTERHOLT AA1 - S T ER0 - HH OW0 L T +OSTERHOUDT AA1 - S T ER0 - HH AW0 T +OSTERHOUT AA1 - S T ER0 - HH AW0 T +OSTERKAMP AA1 - S T ER0 - K AE0 M P +OSTERLING AA1 - S T ER0 - L IH0 NG +OSTERLOH OW0 - S T EH1 R - L OW0 +OSTERLUND AA1 - S T ER0 - L AH0 N D +OSTERMAN AA1 - S T ER0 - M AH0 N +OSTERMANN AA1 - S T ER0 - M AH0 N +OSTERMEIER AA1 - S T ER0 - M AY0 - ER0 +OSTERMEYER AA1 - S T ER2 - M AY2 - ER0 +OSTERMILLER AA1 - S T ER0 - M IH0 - L ER0 +OSTERREICHISCHE AO1 - S T ER0 - R AY2 - K IH0 - SH IY0 +OSTERTAG AA1 - S T ER0 - T AH0 G +OSTHOFF AA1 S T - HH AO0 F +OSTIA AA1 - S T IY0 - AH0 +OSTIN AA1 - S T AH0 N +OSTINATO AA2 - S T AH0 - N AA1 - T OW2 +OSTING AA1 - S T IH0 NG +OSTLING AA1 - S AH0 - L IH0 NG +OSTLING(2) AA1 - S T L IH0 NG +OSTLING(3) AA1 - S L IH0 NG +OSTLUND AA1 S T - L AH0 N D +OSTMAN AA1 S T - M AH0 N +OSTPOLITIK OW2 S T - P OW2 - L IH0 - T IH1 K +OSTRACISM AO1 - S T R AH0 - S IH2 - Z AH0 M +OSTRACIZE AO1 - S T R AH0 - S AY2 Z +OSTRACIZED AO1 - S T R AH0 - S AY2 Z D +OSTRAND AA1 - S T R AH0 N D +OSTRANDER AA1 - S T R AH0 N - D ER0 +OSTREM AA1 - S T R IH0 M +OSTRICH AO1 - S T R IH0 CH +OSTRICHES AA1 - S T R IH0 - CH IH0 Z +OSTROFF AO1 - S T R AO0 F +OSTROGOTH AA1 - S T R AH0 - G AA2 TH +OSTROGOTHS AA1 - S T R AH0 - G AA2 TH S +OSTROM AA1 S - T R AH0 M +OSTROSKI AH0 - S T R AW1 S - K IY0 +OSTROSKY AH0 - S T R OW1 S - K IY0 +OSTROW AA1 - S T R AW0 +OSTROW(2) AA1 - S T R OW0 +OSTROWSKI AH0 - S T R AO1 F S - K IY0 +OSTROWSKY AH0 - S T R AW1 S - K IY0 +OSTRUM AA1 S - T R AH0 M +OSTWALD AA1 - S T W AH0 L D +OSUCH AA1 - S AH0 K +OSULLIVAN AA0 - S AH0 - L IH1 - V AH0 N +OSUNA OW0 - S UW1 - N AH0 +OSWALD AO1 Z - W AO0 L D +OSWALD'S AO1 Z - W AO0 L D Z +OSWALT AA1 - S W AH0 L T +OSWEGO AA0 - S W IY1 - G OW0 +OSWELL AA1 - S W EH2 L +OT AO1 T +OT(2) OW1 - T IY1 +OTA OW1 - T AH0 +OTAIBA OW0 - T EY1 - B AH0 +OTANI OW0 - T AA1 - N IY0 +OTELLO OW0 - T EH1 - L OW0 +OTERI OW0 - T EH1 - R IY0 +OTERO OW0 - T EH1 - R OW0 +OTEY OW1 - T IY0 +OTHA AH0 - DH AA1 +OTHELLO AH0 - TH EH1 - L OW0 +OTHER AH1 - DH ER0 +OTHER'S AH1 - DH ER0 Z +OTHERNESS AH1 - DH ER0 - N AH0 S +OTHERS AH1 - DH ER0 Z +OTHERS' AH1 - DH ER0 Z +OTHERWISE AH1 - DH ER0 - W AY2 Z +OTHERWORLDLY AH1 - DH ER0 - W ER1 L D - L IY0 +OTHILIA OW0 - TH IY1 - L IY0 - AH0 +OTHMAN AA1 TH - M AH0 N +OTIS OW1 - T IH0 S +OTMAR AA1 T - M AA0 R +OTOLOGY OW0 - T AA1 - L AH0 - JH IY0 +OTOMOBIL OW0 - T OW1 - M OW0 - B AH0 L +OTOOLE AA1 - T UW0 L +OTREMBA OW0 - T R EH1 M - B AH0 +OTSEGO AA0 T - S EY1 - G OW0 +OTSUKA OW0 T - S UW1 - K AH0 +OTT AA1 T +OTTAVIANI OW0 - T AA0 - V IY0 - AA1 - N IY0 +OTTAVIANO OW0 - T AA0 - V IY0 - AA1 - N OW0 +OTTAWA AA1 - T AH0 - W AA2 +OTTAWA'S AA1 - T AH0 - W AH0 Z +OTTAWAY AA1 T - AH0 - W EY0 +OTTE AA1 T +OTTEN AA1 - T AH0 N +OTTENS AA1 - T AH0 N Z +OTTER AA1 - T ER0 +OTTERBEIN AA1 - T ER0 - B AY0 N +OTTERLOO AA1 - T ER0 - L UW2 +OTTERS AA1 - T ER0 Z +OTTERSON AA1 - T ER0 - S AH0 N +OTTESEN AA1 - T IY0 - Z AH0 N +OTTESON AA1 - T IH0 - S AH0 N +OTTILIE AA1 - T AH0 - L IY0 +OTTING AA1 - T IH0 NG +OTTLEY AA1 T - L IY0 +OTTMAN AA1 T - M AH0 N +OTTO AA1 - T OW2 +OTTO'S AA1 - T OW2 Z +OTTOMAN AA1 - T AH0 - M AH0 N +OTTOSEN AA1 - T OW0 - S AH0 N +OTTOSON AA1 - T AH0 - S AH0 N +OTTS AA1 T S +OTTUM AA1 - T AH0 M +OTWELL AA1 T - W EH2 L +OU UW1 +OUBRE UW1 - B ER0 +OUCH AW1 CH +OUDERKIRK AW1 - D ER0 - K ER0 K +OUELETTE AA1 - UW0 - L EH0 T +OUELLET AA1 - UW0 - L IH0 T +OUELLETTE AA1 - UW0 - L EH0 T +OUGHT AO1 T +OUGHTA AO1 - T AH0 +OUGHTN'T AO1 - T AH0 N T +OUI W IY1 +OUI(2) UW0 - W IY1 +OUIMET W IY0 - M EH1 T +OUIMETTE W IY0 - M EH1 T +OUNCE AW1 N S +OUNCES AW1 N - S AH0 Z +OUNCES(2) AW1 N - S IH0 Z +OUNSTED AW1 N - S T EH2 D +OUR AW1 - ER0 +OUR(2) AW1 R +OUR(3) AA1 R +OURADA OW0 - UH0 - R AA1 - D AH0 +OURS AW1 - ER0 Z +OURS(2) AA1 R Z +OURSELF AW0 - ER0 - S EH1 L F +OURSELF(2) AA0 R - S EH1 L F +OURSELVES AW0 - ER0 - S EH1 L V Z +OURSELVES(2) AA0 R - S EH1 L V Z +OURSO ER1 - S OW0 +OUSLEY AW1 S - L IY0 +OUST AW1 S T +OUSTED AW1 - S T IH0 D +OUSTER AW1 - S T ER0 +OUSTING AW1 - S T IH0 NG +OUT AW1 T +OUT'S AW1 T S +OUT-MODE AW1 T - M OW1 D +OUT-MODED AW1 T - M OW1 - D IH0 D +OUTAGE AW1 - T AH0 JH +OUTAGE(2) AW1 - T IH0 JH +OUTAGES AW1 - T IH0 - JH IH0 Z +OUTBACK AW1 T - B AE2 K +OUTBID AW1 T - B IH2 D +OUTBIDDING AW1 T - B IH2 - D IH0 NG +OUTBOARD AW1 T - B AO2 R D +OUTBOARD'S AW1 T - B AO2 R D Z +OUTBOUND AW1 T - B AW2 N D +OUTBREAK AW1 T - B R EY2 K +OUTBREAKS AW1 T - B R EY2 K S +OUTBURST AW1 T - B ER2 S T +OUTBURSTS AW1 T - B ER2 S T S +OUTBURSTS(2) AW1 T - B ER2 S S +OUTBURSTS(3) AW1 T - B ER2 S +OUTCALT AW1 T - K AH0 L T +OUTCAST AW1 T - K AE2 S T +OUTCASTS AW1 T - K AE2 S T S +OUTCASTS(2) AW1 T - K AE2 S S +OUTCASTS(3) AW1 T - K AE2 S +OUTCLASS AW1 T - K L AE2 S +OUTCOME AW1 T - K AH2 M +OUTCOMES AW1 T - K AH2 M Z +OUTCRIES AW1 T - K R AY2 Z +OUTCRY AW1 T - K R AY2 +OUTDATE AW1 T - D EY2 T +OUTDATED AW1 T - D EY2 - T IH0 D +OUTDID AW1 T - D IH2 D +OUTDISTANCING AW1 T - D IH1 - S T AH0 N - S IH0 NG +OUTDO AW2 T - D UW1 +OUTDONE AW1 T - D AH1 N +OUTDOOR AW1 T - D AO2 R +OUTDOORS AW1 T - D AO1 R Z +OUTED AW1 - T AH0 D +OUTEN AW1 - T AH0 N +OUTER AW1 - T ER0 +OUTERMOST AW1 - T ER0 - M OW2 S T +OUTERWEAR AW1 - T ER0 - W EH2 R +OUTFIELD AW1 T - F IY2 L D +OUTFIELDER AW1 T - F IY2 L - D ER0 +OUTFIELDERS AW1 T - F IY2 L - D ER0 Z +OUTFIT AW1 T - F IH2 T +OUTFITS AW1 T - F IH2 T S +OUTFITTED AW1 T - F IH2 - T IH0 D +OUTFITTER AW1 T - F IH2 - T ER0 +OUTFITTING AW1 T - F IH2 - T IH0 NG +OUTFLANK AW1 T - F L AE2 NG K +OUTFLANKED AW0 T - F L AE1 NG K T +OUTFLOW AW1 T - F L OW2 +OUTFLOWS AW1 T - F L OW2 Z +OUTFOX AW0 T - F AA1 K S +OUTFOXED AW0 T - F AA1 K S T +OUTGAIN AW1 T - G EY2 N +OUTGAINED AW1 T - G EY2 N D +OUTGO AW1 T - G OW2 +OUTGOING AW1 T - G OW2 - IH0 NG +OUTGREW AW2 T - G R UW1 +OUTGROW AW2 T - G R OW1 +OUTGROWING AW1 T - G R OW2 - IH0 NG +OUTGROWN AW2 T - G R OW1 N +OUTGROWTH AW1 T - G R OW2 TH +OUTGUESS AW1 T - G EH2 S +OUTGUN AW1 T - G AH2 N +OUTGUNNED AW1 T - G AH2 N D +OUTHOUSE AW1 T - HH AW2 S +OUTHOUSES AW1 T - HH AW2 - S IH0 Z +OUTING AW1 - T IH0 NG +OUTINGS AW1 - T IH0 NG Z +OUTLAND AW1 T - L AE2 N D +OUTLAND(2) AW1 T - L AH0 N D +OUTLANDISH AW0 T - L AE1 N - D IH0 SH +OUTLAST AW1 T - L AE2 S T +OUTLAST(2) AW0 T - L AE1 S T +OUTLASTED AW1 T - L AE2 - S T IH0 D +OUTLASTED(2) AW0 T - L AE1 - S T IH0 D +OUTLAW AW1 T - L AO2 +OUTLAWED AW1 T - L AO2 D +OUTLAWING AW1 T - L AO2 - IH0 NG +OUTLAWRY AW1 T - L AO2 - R IY0 +OUTLAWS AW1 T - L AO2 Z +OUTLAY AW1 T - L EY2 +OUTLAYS AW1 T - L EY2 Z +OUTLER AW1 - T AH0 L - ER0 +OUTLER(2) AW1 T - L ER0 +OUTLET AW1 T - L EH2 T +OUTLET'S AW1 T - L EH2 T S +OUTLETS AW1 T - L EH2 T S +OUTLEY AW1 T - L IY0 +OUTLIER AW1 T - L AY0 - ER0 +OUTLINE AW1 T - L AY2 N +OUTLINED AW1 T - L AY2 N D +OUTLINES AW1 T - L AY2 N Z +OUTLINING AW1 T - L AY2 - N IH0 NG +OUTLIVE AW2 T - L IH1 V +OUTLIVED AW2 T - L IH1 V D +OUTLOOK AW1 T - L UH2 K +OUTLOOKS AW1 T - L UH2 K S +OUTLYING AW1 T - L AY2 - IH0 NG +OUTMAN AW1 T - M AH0 N +OUTMAN(2) AW2 T - M AE1 N +OUTMANEUVER AW0 T - M AH0 - N UW1 - V ER0 +OUTMANEUVERED AW0 T - M AH0 - N UW1 - V ER0 D +OUTMANNED AW2 T - M AE1 N D +OUTMODE AW2 T - M OW1 D +OUTMODED AW2 T - M OW1 - D AH0 D +OUTMODED(2) AW2 T - M OW1 - D IH0 D +OUTNUMBER AW0 T - N AH1 M - B ER0 +OUTNUMBERED AW2 T - N AH1 M - B ER0 D +OUTNUMBERING AW1 T - N AH2 M - B ER0 - IH0 NG +OUTNUMBERS AW0 T - N AH1 M - B ER0 Z +OUTOKUMPU UW2 - T AH0 - K AH1 M - P UW0 +OUTPACE AW1 T - P EY2 S +OUTPACED AW1 T - P EY2 S T +OUTPACES AW1 T - P EY2 - S IH0 Z +OUTPACING AW1 T - P EY2 - S IH0 NG +OUTPATIENT AW1 T - P EY2 - SH AH0 N T +OUTPERFORM AW1 T - P ER0 - F AO2 R M +OUTPERFORMANCE AW2 T - P ER0 - F AO1 R - M AH0 N S +OUTPERFORMED AW1 T - P ER0 - F AO2 R M D +OUTPERFORMER AW2 T - P ER0 - F AO1 R - M ER0 +OUTPERFORMING AW1 T - P ER0 - F AO2 R - M IH0 NG +OUTPERFORMS AW1 T - P ER0 - F AO1 R M Z +OUTPLACEMENT AW1 T - P L EY2 S - M AH0 N T +OUTPOST AW1 T - P OW2 S T +OUTPOSTS AW1 T - P OW2 S T S +OUTPOSTS(2) AW1 T - P OW2 S S +OUTPOSTS(3) AW1 T - P OW2 S +OUTPOUCH AW1 T - P AW2 CH +OUTPOUCHING AW1 T - P AW2 - CH IH0 NG +OUTPOUR AW2 T - P AO1 R +OUTPOURING AW2 T - P AO1 - R IH0 NG +OUTPUT AW1 T - P UH2 T +OUTPUTS AW1 T - P UH2 T S +OUTRAGE AW1 T - R EY2 JH +OUTRAGED AW1 T - R EY2 JH D +OUTRAGEOUS AW0 T - R EY1 - JH AH0 S +OUTRAGEOUSLY AW2 T - R EY1 - JH AH0 S - L IY0 +OUTRAGEOUSNESS AW0 T - R EY1 - JH AH0 S - N AH0 S +OUTRAGES AW1 T - R EY2 - JH IH0 Z +OUTRAGING AW1 T - R EY2 - JH IH0 NG +OUTREACH AW1 T - R IY2 CH +OUTRIDER AW1 T - R AY2 - D ER0 +OUTRIDERS AW1 T - R AY2 - D ER0 Z +OUTRIGGER AW1 T - R IH2 - G ER0 +OUTRIGHT AW1 T - R AY1 T +OUTRUN AW0 T - R AH1 N +OUTS AW1 T S +OUTSCORE AW0 T - S K AO1 R +OUTSCORED AW0 T - S K AO1 R D +OUTSELL AW0 T - S EH1 L +OUTSELLING AW0 T - S EH1 - L IH0 NG +OUTSELLS AW0 T - S EH1 L Z +OUTSET AW1 T - S EH2 T +OUTSHINE AW1 - CH AY2 N +OUTSHONE AW0 T - SH OW1 N +OUTSIDE AW1 T - S AY1 D +OUTSIDER AW0 T - S AY1 - D ER0 +OUTSIDER'S AW0 T - S AY1 - D ER0 Z +OUTSIDERS AW0 T - S AY1 - D ER0 Z +OUTSIDERS' AW0 T - S AY1 - D ER0 Z +OUTSIDES AW1 T - S AY1 D Z +OUTSIZE AW1 T - S AY2 Z +OUTSIZED AW1 T - S AY2 Z D +OUTSKIRT AW1 T - S K ER2 T +OUTSKIRTS AW1 T - S K ER2 T S +OUTSMART AW1 T - S M AA2 R T +OUTSOLD AW0 T - S OW1 L D +OUTSOURCE AW2 T - S AO1 R S +OUTSOURCING AW2 T - S AO1 R - S IH0 NG +OUTSPEND AW1 T - S P EH2 N D +OUTSPENDING AW1 T - S P EH2 N - D IH0 NG +OUTSPENT AW0 T - S P EH1 N T +OUTSPOKEN AW1 T - S P OW1 - K AH0 N +OUTSPOKENNESS AW0 T - S P OW1 - K AH0 N - AH0 S +OUTSTANDING AW2 T - S T AE1 N - D IH0 NG +OUTSTRETCH AW0 T - S T R EH1 CH +OUTSTRETCHED AW0 T - S T R EH1 CH T +OUTSTRIP AW0 T - S T R IH1 P +OUTSTRIPPED AW0 T - S T R IH1 P T +OUTSTRIPPING AW0 T - S T R IH1 - P IH0 NG +OUTSTRIPS AW0 T - S T R IH1 P S +OUTTA UW1 - T AH0 +OUTTA(2) AW1 - T AH0 +OUTTAKE AW1 T - T EY2 K +OUTTAKE(2) AW1 T - EY2 K +OUTTAKES AW1 T - T EY2 K S +OUTTAKES(2) AW1 T - EY2 K S +OUTTEN AW1 - T AH0 N +OUTVOTE AW0 T - V OW1 T +OUTVOTED AW0 T - V OW1 - T AH0 D +OUTWARD AW1 T - W ER0 D +OUTWARDLY AW1 T - W ER0 D - L IY0 +OUTWARDS AW1 T - W ER0 D Z +OUTWEIGH AW1 T - W EY2 +OUTWEIGHED AW0 T - W EY1 D +OUTWEIGHING AW1 T - W EY2 - IH0 NG +OUTWEIGHS AW1 T - W EY2 Z +OUTWIT AW1 T - W IH2 T +OUTWITTING AW1 T - W IH2 - T IH0 NG +OUZTS AW1 Z T S +OUZTS(2) AW1 S T S +OVAL OW1 - V AH0 L +OVALLE AA1 - V EY0 L +OVARIAN OW0 - V EH1 - R IY0 - AH0 N +OVARIES OW1 - V ER0 - IY0 Z +OVARY OW1 - V ER0 - IY0 +OVATE OW1 - V EY0 T +OVATION OW0 - V EY1 - SH AH0 N +OVATIONS OW0 - V EY1 - SH AH0 N Z +OVEN AH1 - V AH0 N +OVENS AH1 - V AH0 N Z +OVER OW1 - V ER0 +OVERABUNDANCE OW1 - V ER0 - AH0 - B AH1 N - D AH0 N S +OVERACKER OW1 - V ER0 - AH0 - K ER0 +OVERACT OW1 - V ER0 - AE2 K T +OVERACTED OW1 - V ER0 - AE2 K - T IH0 D +OVERACTED(2) OW2 - V ER0 - AE1 K - T IH0 D +OVERACTIVE OW1 - V ER0 - AE1 K - T IH0 V +OVERALL OW1 - V ER0 - AO2 L +OVERALLOTMENT OW1 - V ER0 - AH0 L - AA1 T - M AH0 N T +OVERALLOTMENTS OW1 - V ER0 - AH0 L - AA1 T - 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B ER0 N +OZELLE AH0 - Z EH1 L +OZGA OW1 Z - G AH0 +OZICK OW1 - Z IH0 K +OZICK'S OW1 - Z IH0 K S +OZIER OW1 - Z IY0 - ER0 +OZIMEK AH0 - Z IH1 - M EH0 K +OZMENT AA1 Z - M AH0 N T +OZMUN AA1 Z - M AH0 N +OZOLINS OW0 - Z OW1 - L IY0 N Z +OZOLS OW1 - Z OW0 L Z +OZONE OW1 - Z OW2 N +OZORA AH0 - Z AO1 - R AH0 +OZUNA OW0 - Z UW1 - N AH0 +OZZIE AA1 - Z IY0 +P P IY1 +P'S P IY1 Z +P. P IY1 +P.'S P IY1 Z +P.M. P IY1 - EH1 M +P.S P IY1 Z +PA P AA1 +PAAP P AA1 P +PAAPE P AA1 P +PAAR P AA1 R +PAASCH P AA1 SH +PAAVOLA P AA2 - V OW1 - L AH0 +PABLO P AA1 - B L OW0 +PABLUM P AE1 - B L AH0 M +PABON P AA0 - B AO1 N +PABST P AE1 B S T +PAC P AE1 K +PAC'S P AE1 K S +PACA P AA1 - K AH0 +PACA(2) P AE1 - K AH0 +PACCAR P AH0 - K AA1 R +PACCIONE P AA0 K - CH OW1 - N IY0 +PACE P EY1 S +PACE'S P EY1 - S IH0 Z +PACED P EY1 S T +PACELLA P AH0 - S EH1 - L AH0 +PACELLI P AH0 - S EH1 - L IY0 +PACEMAKER P EY1 S - M EY2 - K ER0 +PACEMAKERS P EY1 S - M EY2 - K ER0 Z +PACER P EY1 - S ER0 +PACERS P EY1 - S ER0 Z +PACES P EY1 - S IH0 Z +PACESETTER P EY1 S - EH2 - T ER0 +PACEWAY P EY1 S - W EY2 +PACEY P EY1 - S IY0 +PACHECO P AH0 - CH EH1 - K OW0 +PACHINKO P AH0 - CH IH1 NG - K OW0 +PACHOLDER P AE1 - CH AH0 L - D ER0 +PACHOLSKI P AH0 - HH OW1 L - S K IY0 +PACHTER P AE1 K - T ER0 +PACHYSANDRA P AE2 - CH IH0 - S AE1 N - D R AH0 +PACI P AA1 - CH IY0 +PACIFIC P AH0 - S IH1 - F IH0 K +PACIFIC'S P AH0 - S IH1 - F IH0 K S +PACIFICA P AH0 - S IH1 - F IH0 - K AH0 +PACIFICARE P AH0 - S IH1 - F IH0 - K EH2 R +PACIFICATION P AE2 - S AH0 - F AH0 - K EY1 - SH AH0 N +PACIFICO P AA0 - CH IY0 - F IY1 - K OW0 +PACIFICORP P AH0 - S IH1 - F IH0 - K AO0 R P +PACIFIED P AE1 - S AH0 - F AY2 D +PACIFIER P AE1 - S AH0 - F AY2 - ER0 +PACIFIERS P AE1 - S AH0 - F AY2 - ER0 Z +PACIFISM P AE1 - S IH0 - F IH2 - Z AH0 M +PACIFIST P AE1 - S IH0 - F IH0 S T +PACIFISTS P AE1 - S IH0 - F IH0 S T S +PACIFISTS(2) P AE1 - S IH0 - F IH0 S S +PACIFISTS(3) P AE1 - S IH0 - F IH0 S +PACIFY P AE1 - S AH0 - F AY2 +PACING P EY1 - S IH0 NG +PACINI P AA0 - CH IY1 - N IY0 +PACINO P AH0 - S IY1 - N OW0 +PACK P AE1 K +PACKAGE P AE1 - K AH0 JH +PACKAGE'S P AE1 - K IH0 - JH IH0 Z +PACKAGE(2) P AE1 - K IH0 JH +PACKAGED P AE1 - K IH0 JH D +PACKAGER P AE1 - K IH0 - JH ER0 +PACKAGERS P AE1 - K IH0 - JH ER0 Z +PACKAGES P AE1 - K AH0 - JH AH0 Z +PACKAGES(2) P AE1 - K IH0 - JH IH0 Z +PACKAGING P AE1 - K IH0 - JH IH0 NG +PACKARD P AE1 - K ER0 D +PACKARD'S P AE1 - K ER0 D Z +PACKED P AE1 K T +PACKER P AE1 - K ER0 +PACKERS P AE1 - K ER0 Z +PACKET P AE1 - K AH0 T +PACKET(2) P AE1 - K IH0 T +PACKETS P AE1 - K IH0 T S +PACKETT P AE1 - K IH0 T +PACKHAM P AE1 K - HH AH0 M +PACKING P AE1 - K IH0 NG +PACKINGHOUSE P AE1 - K IH0 NG - HH AW2 S +PACKMAN P AE1 K - M AH0 N +PACKS P AE1 K S +PACKWOOD P AE1 K - W UH2 D +PACKWOOD'S P AE1 K - W UH2 D Z +PACMAN P AE1 K - M AH0 N +PACO P EY1 - K OW0 +PACS P AE1 K S +PACT P AE1 K T +PACT'S P AE1 K T S +PACTEL P AE1 K - T EH2 L +PACTEL'S P AE1 K - T EH2 L Z +PACTO P AE1 K - T OW0 +PACTS P AE1 K T S +PACTS(2) P AE1 K S +PACYNA P AA1 - K IY0 - N AH0 +PACYNA(2) P AH0 - S IY1 - N AH0 +PACZKOWSKI P AH0 CH - K AO1 F S - K IY0 +PAD P AE1 D +PADDACK P AE1 - D AH0 K +PADDED P AE1 - D AH0 D +PADDED(2) P AE1 - D IH0 D +PADDEN P AE1 - D AH0 N +PADDIES P AE1 - D IY0 Z +PADDING P AE1 - D IH0 NG +PADDINGTON P AE1 - D IH0 NG - T AH0 N +PADDLE P AE1 - D AH0 L +PADDLED P AE1 - D AH0 L D +PADDLES P AE1 - D AH0 L Z +PADDLING P AE1 - D AH0 L - IH0 NG +PADDLING(2) P AE1 D - L IH0 NG +PADDOCK P AE1 - D AH0 K +PADDY P AE1 - D IY0 +PADDY'S P AE1 - D IY0 Z +PADEN P EY1 - D AH0 N +PADEREWSKI P AA2 - D ER0 - UW1 S - K IY0 +PADFIELD P AE1 D - F IY2 L D +PADGET P AE1 - JH IH0 T +PADGETT P AE1 - JH IH0 T +PADGITT P AE1 - JH IH0 T +PADILLA P AH0 - D IH1 - L AH0 +PADLEY P AE1 D - L IY0 +PADLOCK P AE1 D - L AA2 K +PADLOCKED P AE1 D - L AA2 K T +PADLOCKS P AE1 D - L AA2 K S +PADMANABHAN P AE0 D - M AE1 - N AH0 - B AE2 N +PADMANABHAN(2) P AA2 D - M AH0 - N AA1 - B AH0 N +PADOVANO P AA0 - D OW0 - V AA1 - N OW0 +PADRE P AE1 - D R EY2 +PADRES P AE1 - D R EY2 Z +PADRICK P AE1 - D R IH0 K +PADRO P AA1 - D R OW0 +PADRON P AE1 - D R AH0 N +PADS P AE1 D Z +PADUA P AE1 - D Y UW0 - AH0 +PADUANO P AA0 - D UW0 - AA1 - N OW0 +PADUCAH P AH0 - D UW1 - K AH0 +PADULA P AA0 - D UW1 - L AH0 +PAE P AY1 +PAEAN P IY1 - AH0 N +PAEANS P IY1 - AH0 N Z +PAEK P IY1 K +PAETH P IY1 TH +PAETZ P IY1 T S +PAEZ P AY0 - EH1 Z +PAFF P AE1 F +PAFFORD P AE1 - F ER0 D +PAGAN P EY1 - G AH0 N +PAGANELLI P AA0 - G AA0 - N EH1 - L IY0 +PAGANI P AA0 - G AA1 - N IY0 +PAGANINI P AE2 - G AH0 - N IY1 - N IY0 +PAGANISM P EY1 - G AH0 - N IH2 - Z AH0 M +PAGANO P AA0 - G AA1 - N OW0 +PAGAR P AE1 - G ER0 +PAGE P EY1 JH +PAGE'S P EY1 - JH IH0 Z +PAGEANT P AE1 - JH AH0 N T +PAGEANTRY P AE1 - JH AH0 N - T R IY0 +PAGEANTS P AE1 - JH AH0 N T S +PAGED P EY1 JH D +PAGEL P AE1 - G AH0 L +PAGELS P AE1 - G AH0 L Z +PAGEMAKER P EY1 JH - M EY2 - K ER0 +PAGENKOPF P AE1 - G AH0 N - K AO0 P F +PAGENKOPF(2) P AE1 - G AH0 N - K AO0 F +PAGER P EY1 - JH ER0 +PAGERS P EY1 - JH ER0 Z +PAGES P EY1 - JH AH0 Z +PAGES(2) P EY1 - JH IH0 Z +PAGET P AE1 - JH AH0 T +PAGETT P AE1 - JH AH0 T +PAGETTE P AE2 - JH EH1 T +PAGEY P EY1 - JH IY0 +PAGEZY P AE2 - JH EH1 - Z IY0 +PAGINATION P AE2 - JH AH0 - N EY1 - SH AH0 N +PAGING P EY1 - JH IH0 NG +PAGLIA P AE1 G - L IY0 - AH0 +PAGLIARO P AE2 G - L IY0 - AA1 - R OW0 +PAGLIARULO P AE2 G - L IY0 - ER0 - UW1 - L OW0 +PAGLIUCA P AE2 G - L IY0 - UW1 - K AH0 +PAGLIUCA'S P AE2 G - L IY0 - UW1 - K AH0 Z +PAGNI P AE1 G - N IY0 +PAGNOTTA P AA0 G - N OW1 - T AH0 +PAGODA P AH0 - G OW1 - D AH0 +PAGURIAN P AH0 - G Y UH1 - R IY0 - AH0 N +PAH P AE1 +PAHL P AA1 L +PAHNOS P AA1 - N OW0 S +PAI P AA1 - IY0 +PAID P EY1 D +PAIGE P EY1 JH +PAIGHTON P EY1 - T AH0 N +PAIGN P EY1 N +PAIK P EY1 K +PAIL P EY1 L +PAILLE P EY1 L +PAILS P EY1 L Z +PAIN P EY1 N +PAINE P EY1 N +PAINED P EY1 N D +PAINESVILLE P EY1 N Z - V IH2 L +PAINEWEBBER P EY1 N - W EH1 - B ER0 +PAINEWEBBER'S P EY1 N - W EH1 - B ER0 +PAINFUL P EY1 N - F AH0 L +PAINFULLY P EY1 N - F AH0 - L IY0 +PAINKILLER P EY1 N - K IH2 - L ER0 +PAINKILLERS P EY1 N - K IH2 - L ER0 Z +PAINLESS P EY1 N - L AH0 S +PAINLESSLY P EY1 N - L AH0 S - L IY0 +PAINO P EY1 - N OW0 +PAINS P EY1 N Z +PAINSTAKING P EY1 N S - T EY2 - K IH0 NG +PAINSTAKINGLY P EY1 N S - T EY2 - K IH0 NG - L IY0 +PAINT P EY1 N T +PAINTBALL P EY1 N T - B AA2 L +PAINTBRUSH P EY1 N T - B R AH2 SH +PAINTBRUSHES P EY1 N T - B R AH2 - SH IH0 S +PAINTED P EY1 N - T AH0 D +PAINTED(2) P EY1 N - T IH0 D +PAINTED(3) P EY1 - N AH0 D +PAINTED(4) P EY1 - N IH0 D +PAINTER P EY1 N - T ER0 +PAINTER'S P EY1 N - T ER0 Z +PAINTER'S(2) P EY1 - N ER0 Z +PAINTER(2) P EY1 - N ER0 +PAINTERLY P EY1 N - T ER0 - L IY0 +PAINTERLY(2) P EY1 - N ER0 - L IY0 +PAINTERS P EY1 N - T ER0 Z +PAINTERS(2) P EY1 - N ER0 Z +PAINTING P EY1 N - T IH0 NG +PAINTING(2) P EY1 - N IH0 NG +PAINTINGS P EY1 N - T IH0 NG Z +PAINTINGS(2) P EY1 - N IH0 NG Z +PAINTS P EY1 N T S +PAIR P EH1 R +PAIRED P EH1 R D +PAIRING P EH1 - R IH0 NG +PAIRS P EH1 R Z +PAIS P EY1 Z +PAISLEY P EY1 Z - L IY0 +PAISLEY'S P EY1 Z - L IY0 Z +PAIT P EY1 T +PAIUTE P AY1 - Y UW0 T +PAIVA P EY1 - V AH0 +PAIZ P EY1 Z +PAJAK P AY1 - AH0 K +PAJAMA P AH0 - JH AA1 - M AH0 +PAJAMA(2) P AH0 - JH AE1 - M AH0 +PAJAMAS P AH0 - JH AA1 - M AH0 Z +PAJAMAS(2) P AH0 - JH AE1 - M AH0 Z +PAJOLE P AH0 - JH OW1 L +PAJOLI P AH0 - JH OW1 - L IY0 +PAK P AE1 K +PAK'S P AE1 K S +PAKE P EY1 K +PAKEHA P AH0 - K EY1 - HH AA0 +PAKISTAN P AE1 - K IH0 - S T AE2 N +PAKISTAN'S P AE1 - K IH0 - S T AE2 N Z +PAKISTANI P AE2 - K IH0 - S T AE1 - N IY0 +PAKISTANIAN P AE2 - K IH0 - S T AE1 - N IY0 - AH0 N +PAKISTANIS P AE2 - K IH0 - S T AE1 - N IY0 Z +PAKULA P AH0 - K UW1 - L AH0 +PAKULSKI P AH0 - K AH1 L - S K IY0 +PAL P AE1 L +PAL'S P AE1 L Z +PALACE P AE1 - L AH0 S +PALACES P AE1 - L AH0 - S AH0 Z +PALACES(2) P AE1 - L AH0 - S IH0 Z +PALACIO P AH0 - L EY1 - S IY0 - OW0 +PALACIOS P AA0 - L AA0 - S IY1 - OW0 Z +PALADINO P AA0 - L AA0 - D IY1 - N OW0 +PALAFOX P AE1 - L AH0 - F AA2 K S +PALAIS P AH0 - L EY1 +PALANCE P AE1 - L AH0 N S +PALANSKY P AH0 - L AE1 N S - K IY0 +PALARDY P AH0 - L AA1 R - D IY0 +PALASH P AH0 - L AE1 SH +PALATABILITY P AE2 - L AH0 - T AH0 - B IH1 - L AH0 - T IY0 +PALATABLE P AE1 - L AH0 - T AH0 - B AH0 L +PALATE P AE1 - L AH0 T +PALATE(2) P AE1 - L IH0 T +PALATES P AE1 - L AH0 T S +PALATIAL P AH0 - L EY1 - SH AH0 L +PALATINE P AE1 - L AH0 - T AY2 N +PALAU P AE1 - L AW0 +PALAU'S P AH0 - L AW1 - UW0 Z +PALAUANS P AH0 - L AW1 - AH0 N Z +PALAY P EY1 - L EY2 +PALAZZI P AA0 - L AA1 T - S IY0 +PALAZZO P AH0 - L AA1 - Z OW0 +PALAZZOLA P AA0 - L AA0 T - S OW1 - L AH0 +PALAZZOLO P AA0 - L AA0 T - S OW1 - L OW0 +PALCA P AE1 L - K AH0 +PALCA'S P AE1 L - K AH0 Z +PALCO P AE1 L - K OW0 +PALDON P AA1 L - D AH0 N +PALE P EY1 L +PALECEK P AA1 - L IH0 - CH EH0 K +PALED P EY1 L D +PALEN P AE1 - L AH0 N +PALEOBOTANY P EY2 - L IY0 - OW0 - B AA1 - T AH0 - N IY0 +PALEOCENE P EY1 - L IY0 - AH0 - S IY2 N +PALEONTOLOGIST P EY2 - L IY0 - AH0 N - T AA1 - L AH0 - JH IH0 S T +PALEONTOLOGISTS P EY2 - L IY0 - AH0 N - T AA1 - L AH0 - JH IH0 S T S +PALEONTOLOGISTS(2) P EY2 - L IY0 - AH0 N - T AA1 - L AH0 - JH IH0 S S +PALEONTOLOGISTS(3) P EY2 - L IY0 - AH0 N - T AA1 - L AH0 - JH IH0 S +PALEONTOLOGY P EY2 - L IY0 - AH0 N - T AA1 - L AH0 - JH IY0 +PALEOZOIC P EY2 - L IY0 - AH0 - Z OW1 - IH0 K +PALERMO P AH0 - L EH1 R - M OW0 +PALES P EY1 L Z +PALESE P AA0 - L EY1 - Z IY0 +PALEST P EY1 - L AH0 S T +PALESTINE P AE1 - L AH0 - S T AY2 N +PALESTINIAN P AE2 - L IH0 - S T IH1 - N IY0 - AH0 N +PALESTINIAN'S P AE2 - L IH0 - S T IH1 - N IY0 - AH0 N Z +PALESTINIANS P AE2 - L IH0 - S T IH1 - N IY0 - AH0 N Z +PALESTINIANS' P AE2 - L AH0 - S T IH1 - N IY0 - AH0 N Z +PALETTE P AE1 - L AH0 T +PALEY P EY1 - L IY0 +PALFREY P AE1 L - F R IY0 +PALIMONY P AE1 - L IH0 - M OW2 - N IY0 +PALIN P AE1 - L IH0 N +PALINKAS P AE1 - L IH0 NG - K AH0 Z +PALISADE P AE2 - L IH0 - S EY1 D +PALISADES P AE2 - L IH0 - S EY1 D Z +PALKA P AE1 L - K AH0 +PALKAR P AE1 L - K AA0 R +PALKO P AE1 L - K OW0 +PALKOVIC P AH0 L - K AA1 - V IH0 K +PALL P AA1 L +PALL(2) P AO1 L +PALLA P AE1 - L AH0 +PALLADINO P AA0 - L AA0 - D IY1 - N OW0 +PALLADIUM P AH0 - L EY1 - D IY0 - AH0 M +PALLANTE P AA0 - L AA1 N - T IY0 +PALLAS P AE1 - L AH0 S +PALLER P AE1 - L ER0 +PALLESCHI P AA0 - L EH1 S - K IY0 +PALLET P AE1 - L AH0 T +PALLETS P AE1 - L AH0 T S +PALLETT P AE1 - L AH0 T +PALLIATIVE P AE1 - L IY0 - AH0 - T IH0 V +PALLIATIVES P AE1 - L IY0 - AH0 - T IH0 V Z +PALLID P AE1 - L AH0 D +PALLIDOTOMY P AE2 - L IH0 - D AO1 - T AH0 - M IY0 +PALLO P AE1 - L OW0 +PALLONE P AA0 - L OW1 - N IY0 +PALM P AA1 M +PALM(2) P AA1 L M +PALMA P AA1 L - M AH0 +PALMA'S P AA1 L - M AH0 Z +PALMATEER P AE1 L - M AH0 - T IH0 R +PALMATIER P AE1 L - M AH0 - T IY0 - ER0 +PALMDALE P AA1 M - D EY2 L +PALMDALE'S P AA1 M - D EY2 L Z +PALME P AA1 M +PALME(2) P AA1 L M +PALMER P AA1 - M ER0 +PALMER'S P AA1 - M ER0 Z +PALMER'S(2) P AA1 L - M ER0 Z +PALMER(2) P AA1 L - M ER0 +PALMERI P AA0 L - M EH1 - R IY0 +PALMERINO P AO2 L - M EH0 - R IY1 - N OW0 +PALMERO P AA0 L - M EH1 - R OW0 +PALMERTON P AA1 - M ER0 - T AH0 N +PALMERTREE P AA1 - M ER0 - T R IY2 +PALMETTO P AE0 L - M EH1 - T OW0 +PALMETTO(2) P AA0 L - M EH1 - T OW0 +PALMGREN P AE1 L M - G R EH0 N +PALMIERI P AO2 L - M IY0 - EH1 - R IY0 +PALMINTERI P AO2 L - M IH0 N - T EH1 - R IY0 +PALMIRA P AA0 L - M IH1 - R AH0 +PALMISANO P AA0 L - M IY0 - S AA1 - N OW0 +PALMISTRY P AA1 - M IH0 S - T R IY0 +PALMITER P AE1 L - M AY0 - T ER0 +PALMITIC P AE0 L - M IH1 - T IH0 K +PALMOLIVE P AA0 L - M AA1 - L IH0 V +PALMORE P AE1 L - M AO0 R +PALMQUIST P AE1 L M - K W IH0 S T +PALMS P AA1 M Z +PALMS(2) P AA1 L M Z +PALMSTIERNA P AO2 L M - S T IY0 - EH1 R - N AH0 +PALO P AE1 - L OW0 +PALOMA P AA0 - L OW1 - M AH0 +PALOMAR P AE1 - L AH0 - M AA0 R +PALOMARES P AA0 - L OW0 - M AA1 - R EH0 S +PALOMBA P AA0 - L OW1 M - B AH0 +PALOMBI P AH0 - L AA1 M - B IY0 +PALOMBO P AH0 - L AA1 M - B OW0 +PALOMETA P AA0 - L OW0 - M EH1 - T AH0 +PALOMINO P AE2 - L AH0 - M IY1 - N OW0 +PALOMITA P AA0 - L OW0 - M IY1 - T AH0 +PALOMO P AA0 - L OW1 - M OW0 +PALONE P AH0 - L OW1 N +PALONIUS P AH0 - L OW1 - N IY0 - AH0 S +PALOS P AA1 - L OW0 Z +PALPABLE P AE1 L - P AH0 - B AH0 L +PALPABLY P AE1 L - P AH0 - B L IY0 +PALPITATION P AE2 L - P AH0 - T EY1 - SH AH0 N +PALPITATIONS P AE2 L - P IH0 - T EY1 - SH AH0 N Z +PALS P AE1 L Z +PALSY P AO1 L - Z IY0 +PALTRY P AO1 L - T R IY0 +PALTZ P AO1 L T S +PALUCH P AE1 - L AH0 K +PALUCK P AE1 - L AH0 K +PALUMBO P AH0 - L AH1 M - B OW0 +PALUZZI P AA0 - L UW1 T - S IY0 +PAM P AE1 M +PAM'S P AE1 M Z +PAMBY P AE1 M - B IY0 +PAMELA P AE1 - M AH0 - L AH0 +PAMELA'S P AE1 - M AH0 - L AH0 Z +PAMELINA P AA0 - M EH0 - L IY1 - N AH0 +PAMELLA P AH0 - M EH1 - L AH0 +PAMER P EY1 - M ER0 +PAMMY P AE1 - M IY0 +PAMOUR P AE1 - M AO0 R +PAMPAS P AE1 M - P AH0 Z +PAMPEL P AE1 M - P AH0 L +PAMPER P AE1 M - P ER0 +PAMPERED P AE1 M - P ER0 D +PAMPERIN P AE1 M - P ER0 - IH0 N +PAMPERING P AE1 M - P ER0 - IH0 NG +PAMPERS P AE1 M - P ER0 Z +PAMPHLET P AE1 M - F L AH0 T +PAMPHLETEER P AE2 M - F L AH0 - T IH1 R +PAMPHLETS P AE1 M - F L AH0 T S +PAMPLIN P AE1 M - P L IH0 N +PAMPLONA P AE0 M - P L OW1 - N AH0 +PAN P AE1 N +PAN'S P AE1 N Z +PANACEA P AE2 - N AH0 - S IY1 - AH0 +PANACHE P AH0 - N AA1 SH +PANACO P AE1 - N AH0 - K OW0 +PANAGOPOULOS P AE0 - N AH0 - G AA1 - P AH0 - L IH0 S +PANAGOS P AA0 - N AA1 - G OW0 Z +PANAM P AE2 - N AE1 M +PANAMA P AE1 - N AH0 - M AA2 +PANAMA'S P AE1 - N AH0 - M AA2 Z +PANAMANIAN P AE2 - N AH0 - M EY1 - N IY0 - AH0 N +PANAMANIANS P AE2 - N AH0 - M EY1 - N IY0 - AH0 N Z +PANAMSAT P AH0 - N AE1 M - S AE0 T +PANAMSAT(2) P AE1 - N AE2 M - S AE2 T +PANARO P AA0 - N AA1 - R OW0 +PANAS P AE1 - N AH0 Z +PANASONIC P AE2 - N AH0 - S AA1 - N IH0 K +PANCAKE P AE1 N - K EY2 K +PANCAKED P AE1 N - K EY2 K T +PANCAKES P AE1 N - K EY2 K S +PANCANADIAN P AE2 NG - K AH0 - N EY1 - D IY0 - AH0 N +PANCER P AE1 N - S ER0 +PANCHO P AE1 N - CH OW0 +PANCIERA P AA0 N - CH IH1 - R AH0 +PANCOAST P AE1 N - K OW2 S T +PANCONTINENTAL P AE1 N - K AA2 N - T AH0 - N EH1 N - T AH0 L +PANCREAS P AE1 N - K R IY0 - AH0 S +PANCREATIC P AE2 N - K R IY0 - AE1 - T IH0 K +PANDA P AE1 N - D AH0 +PANDANUS P AE0 N - D EY1 - N AH0 S +PANDAS P AE1 N - D AH0 Z +PANDEMIC P AE0 N - D EH1 - M IH0 K +PANDEMONIUM P AE2 N - D IH0 - M OW1 - N IY0 - AH0 M +PANDER P AE1 N - D ER0 +PANDERED P AE1 N - D ER0 D +PANDERING P AE1 N - D ER0 - IH0 NG +PANDEY P AA1 N - D EY2 +PANDICK P AE1 N - D IH2 K +PANDIT P AH1 N - D AH0 T +PANDO P AA1 N - D OW0 +PANDOLFI P AA0 N - D OW1 L - F IY0 +PANDOLFO P AA0 N - D OW1 L - F OW0 +PANDORA P AE0 N - D AO1 - R AH0 +PANDORA'S P AE0 N - D AO1 - R AH0 Z +PANDYA P AA1 N - D Y AH0 +PANE P EY1 N +PANEBIANCO P AA0 N - EH0 - B IY0 - AA1 N - K OW0 +PANEK P AE1 - N IH0 K +PANEL P AE1 - N AH0 L +PANEL'S P AE1 - N AH0 L Z +PANELED P AE1 - N AH0 L D +PANELING P AE1 - N AH0 - L IH0 NG +PANELIST P AE1 - N AH0 - L AH0 S T +PANELISTS P AE1 - N AH0 - L IH0 S T S +PANELISTS(2) P AE1 - N AH0 - L IH0 S S +PANELISTS(3) P AE1 - N AH0 - L IH0 S +PANELIZATION P AE1 - N AH0 - L AH0 - Z EY1 - SH AH0 N +PANELIZE P AE1 - N AH0 - L AY2 Z +PANELIZED P AE1 - N AH0 - L AY2 Z D +PANELLA P AH0 - N EH1 - L AH0 +PANELS P AE1 - N AH0 L Z +PANELS' P AE1 - N AH0 L Z +PANEM P EY1 - N AH0 M +PANEPINTO P AA0 - N EH0 - P IY1 N - T OW0 +PANES P EY1 N Z +PANETTA P AH0 - N EH1 - T AH0 +PANETTA'S P AH0 - N EH1 - T AH0 Z +PANFIDA P AE2 N - F IY1 - D AH0 +PANFIL P AE1 N - F IH0 L +PANFILE P AE1 N - F AY1 L +PANFUL P AE1 N - F AH0 L +PANFULS P AE1 N - F AH0 L Z +PANG P AE1 NG +PANGALLO P AA0 NG - G AA1 - L OW0 +PANGBORN P AE1 NG - B AO2 R N +PANGBURN P AE1 NG - B ER2 N +PANGELS P AE2 NG - G EH1 L Z +PANGLE P AE1 NG - G AH0 L +PANGLOSS P AE1 N - G L AA2 S +PANGLOSS(2) P AE1 NG - G L AA2 S +PANGS P AE1 NG Z +PANHANDLE P AE1 N - HH AE2 N - D AH0 L +PANHANDLE'S P AE1 N - HH AE2 N - D AH0 L Z +PANHANDLER P AE1 N - HH AE2 N D - L ER0 +PANHANDLERS P AE1 N - HH AE2 N D - L ER0 Z +PANHANDLING P AE1 N - HH AE2 N D - L IH0 NG +PANIAGUA P AA0 - N IY0 - AA1 - G AH0 +PANIC P AE1 - N IH0 K +PANIC'S P AE1 - N IH0 K S +PANICCIA P AA0 - N IY1 - CH AH0 +PANICKED P AE1 - N IH0 K T +PANICKING P AE1 - N IH0 - K IH0 NG +PANICKY P AE1 - N IH0 - K IY0 +PANICO P AA0 - N IY1 - K OW0 +PANICS P AE1 - N IH0 K S +PANIK P AE1 - N IH0 K +PANKAU P AE1 NG - K AW0 +PANKEY P AE1 N - K IY2 +PANKKI P AE1 NG - K IY0 +PANKO P AE1 NG - K OW0 +PANKONIN P AE1 NG - K AH0 - N IH0 N +PANKOW P AE1 NG - K OW0 +PANKRATZ P AE1 NG - K R AH0 T S +PANKY P AE1 NG - K IY0 +PANMUNJOM P AE2 N - M UW0 N - JH AO1 M +PANMURE P AE1 N - M UH2 R +PANNED P AE1 N D +PANNELL P AE1 - N AH0 L +PANNIER P AE1 - N IY0 - ER0 +PANNILL P AE1 - N IH0 L +PANNILL'S P AE1 - N IH0 L Z +PANNING P AE1 - N IH0 NG +PANNONE P AA0 - N OW1 - N IY0 +PANNU P AA1 - N UW0 +PANNULLO P AA0 - N UW1 - L OW0 +PANNY P AE1 - N IY0 +PANOPLY P AE1 - N AA0 - P L IY0 +PANOPOLYS P AH0 - N AA1 - P AH0 - L IY0 Z +PANORA P AH0 - N AO1 - R AH0 +PANORAMA P AE2 - N ER0 - AE1 - M AH0 +PANORAMIC P AE2 - N ER0 - AE1 - M IH0 K +PANOS P AA1 - N OW0 S +PANOZ P AE1 - N AA0 Z +PANOZZO P AH0 - N AA1 - Z OW0 +PANPHILA P AE1 N - F IH0 - L AH0 +PANS P AE1 N Z +PANSIES P AE1 N - Z IY0 Z +PANSOPHIC P AE1 N - S AH0 - F IH0 K +PANSY P AE1 N - Z IY0 +PANT P AE1 N T +PANTALEO P AA0 N - T AA1 - L IY0 - OW0 +PANTALONE P AE1 N - T AH0 - L OW2 N +PANTALOON P AE1 N - T AH0 - L UW2 N +PANTALOONS P AE1 N - T AH0 - L UW2 N Z +PANTANO P AA0 N - T AA1 - N OW0 +PANTED P AE1 N - T IH0 D +PANTEL P AA0 N - T EH1 L +PANTER P AE1 N - T ER0 +PANTERA'S P AA0 N - T EH1 - R AH0 Z +PANTEX P AE1 N - T EH0 K S +PANTHEA P AE1 N - TH IY0 - AH0 +PANTHEISTIC P AE2 N - TH IY0 - IH1 - S T IH0 K +PANTHEON P AE1 N - TH IY0 - AA2 N +PANTHER P AE1 N - TH ER0 +PANTHER'S P AE1 N - TH ER0 Z +PANTHERS P AE1 N - TH ER0 Z +PANTHERS' P AE1 N - TH ER0 Z +PANTIES P AE1 N - T IY0 Z +PANTING P AE1 N - T IH0 NG +PANTLE P AE1 N - T AH0 L +PANTOJA P AA0 N - T OW1 - Y AH0 +PANTOMIME P AE1 N - T AH0 - M AY2 M +PANTON P AE1 N - T AH0 N +PANTRY P AE1 N - T R IY0 +PANTS P AE1 N T S +PANTSUIT P AE1 N T - S UW2 T +PANTSUIT(2) P AE1 N - S UW2 T +PANTSUITS P AE1 N T - S UW2 T S +PANTSUITS(2) P AE1 N - S UW2 T S +PANTUSO P AA0 N - T UW1 - S OW0 +PANTY P AE1 N - T IY0 +PANTYHOSE P AE1 N - T IY0 - HH OW2 Z +PANZA P AE1 N - Z AH0 +PANZARELLA P AA0 N - Z AA0 - R EH1 - L AH0 +PANZER P AE1 N - Z ER0 +PANZHIHUA P AE2 N - Z IH0 - HH Y UW1 - AH0 +PANZICA P AE1 N - Z IH0 - K AH0 +PAO P AW1 +PAO'S P AW1 Z +PAOLELLA P AA0 - OW0 - L EH1 - L AH0 +PAOLETTI P AA0 - OW0 - L EH1 - T IY0 +PAOLI P AW1 - L IY0 +PAOLI(2) P EY2 - OW1 - L IY0 +PAOLILLO P AA0 - OW0 - L IH1 - L OW0 +PAOLINI P AA0 - OW0 - L IY1 - N IY0 +PAOLINO P AA0 - OW0 - L IY1 - N OW0 +PAOLO P AW1 - L OW0 +PAOLUCCI P AA0 - OW0 - L UW1 - CH IY0 +PAONE P EY1 - OW2 N +PAONESSA P AA0 - OW0 - N EH1 - S AH0 +PAP P AE1 P +PAPA P AA1 - P AH0 +PAPACY P EY1 - P AH0 - S IY0 +PAPADAKIS P AA0 - P AA0 - D AA1 - K IH0 S +PAPADOPOULOS P AE2 - P AH0 - D AA1 - P AH0 - L AH0 S +PAPADOPOULOS(2) P AA2 - P AH0 - D AA1 - P AH0 - L AH0 S +PAPAGEORGE P AE2 - P AH0 - JH AO1 R JH +PAPAGEORGE(2) P AA2 - P AH0 - JH AO1 R JH +PAPAGO P AA1 - P AH0 - G OW2 +PAPAL P EY1 - P AH0 L +PAPALE P AA0 - P AA1 - L IY0 +PAPALEO P AA0 - P EY0 - L IY1 - AH0 +PAPALIA P AA0 - P AA1 - L IY0 - AH0 +PAPANDREA P AA0 - P AA1 N - D R IY0 - AH0 +PAPANDREOU P AH0 - P AE1 N - D R IY0 - UW2 +PAPANIA P AA0 - P AA1 - N IY0 - AH0 +PAPARAZZI P AA0 - P AA0 - R AO1 - Z IY0 +PAPARELLA P AA0 - P AA0 - R EH1 - L AH0 +PAPAS P AA1 - P AH0 Z +PAPAW P AO1 - P AO0 +PAPAY P AE1 - P EY0 +PAPAYA P AH0 - P AY1 - AH0 +PAPAYAS P AH0 - P AY1 - AH0 Z +PAPAZIAN P AH0 - P EY1 - Z IY0 - AH0 N +PAPE P EY1 P +PAPENFUSS P AE1 - P AH0 N - F AH2 S +PAPER P EY1 - P ER0 +PAPER'S P EY1 - P ER0 Z +PAPERBACK P EY1 - P ER0 - B AE2 K +PAPERBACKS P EY1 - P ER0 - B AE2 K S +PAPERBOARD P EY1 - P ER0 - B AO2 R D +PAPERBOY P EY1 - P ER0 - B AO2 Y +PAPERBOY'S P EY1 - P ER0 - B AO2 Y Z +PAPERBOYS P EY1 - P ER0 - B AO2 Y Z +PAPERED P EY1 - P ER0 D +PAPERING P EY1 - P ER0 - IH0 NG +PAPERLESS P EY1 - P ER0 - L AH0 S +PAPERMAKING P AE1 - P ER0 - M EY2 - K IH0 NG +PAPERMATE P EY1 - P ER0 - M EY2 T +PAPERNICK P EY1 - P ER0 - N IH2 K +PAPERS P EY1 - P ER0 Z +PAPERS' P EY1 - P ER0 Z +PAPERWEIGHT P EY1 - P ER0 - W EY2 T +PAPERWORK P EY1 - P ER0 - W ER2 K +PAPERWORKER P EY1 - P ER0 - W ER2 - K ER0 +PAPERWORKERS P EY1 - P ER0 - W ER2 - K ER0 Z +PAPERY P EY1 - P ER0 - IY0 +PAPESH P AE1 - P IH0 SH +PAPIER P EY1 - P Y ER0 +PAPILLOMA P AE2 - P IH0 - L OW1 - M AH0 +PAPIN P AA0 - P IY1 N +PAPINEAU P AE1 - P IH0 - N OW2 +PAPINI P AA0 - P IY1 - N IY0 +PAPKE P EY1 P K +PAPO P AE0 - P OW1 +PAPP P AE1 P +PAPPA P AE1 - P AH0 +PAPPADIO P AH0 - P EY1 - D IY0 - OW0 +PAPPALARDO P AA0 - P AA0 - L AA1 R - D OW0 +PAPPAS P AE1 - P AH0 S +PAPPERT P AE1 - P ER0 T +PAPRIKA P AE0 - P R IY1 - K AH0 +PAPRIKA(2) P AH0 - P R IY1 - K AH0 +PAPROCKI P AH0 - P R OW1 T S - K IY0 +PAPSON P AE1 P - S AH0 N +PAPUA P AE1 - P Y UW0 - AH0 +PAQUE P AE1 K +PAQUET P AA1 - K EY0 T +PAQUETTE P AH0 - K EH1 T +PAQUIN P AE1 K - W IH0 N +PAR P AA1 R +PAR'S P AA1 R Z +PARA P EH1 - R AH0 +PARABLE P EH1 - R AH0 - B AH0 L +PARABLES P EH1 - R AH0 - B AH0 L Z +PARABOLA P ER0 - AE1 - B AH0 - L AH0 +PARABOLIC P EH2 - R AH0 - B AA1 - L IH0 K +PARACHUTE P EH1 - R AH0 - SH UW2 T +PARACHUTED P EH1 - R AH0 - SH UW2 - T IH0 D +PARACHUTES P EH1 - R AH0 - SH UW2 T S +PARACHUTING P EH1 - R AH0 - SH UW2 - T IH0 NG +PARADA P ER0 - AE1 - D AH0 +PARADE P ER0 - EY1 D +PARADED P ER0 - EY1 - D IH0 D +PARADEE P EH1 - R AH0 - D IY0 +PARADES P ER0 - EY1 D Z +PARADIGM P EH1 - R AH0 - D AY2 M +PARADIGMS P EH1 - R AH0 - D AY2 M Z +PARADIGMS(2) P EH1 - R AH0 - D AY2 M Z +PARADING P ER0 - EY1 - D IH0 NG +PARADIS P ER0 - AE1 - D IH0 S +PARADISE P EH1 - R AH0 - D AY2 S +PARADISO P ER0 - AH0 - D IY1 - S OW0 +PARADOR P EH1 - R AH0 - D AO2 R +PARADOWSKI P ER0 - AH0 - D AO1 F S - K IY0 +PARADOX P EH1 - R AH0 - D AA2 K S +PARADOXES P EH1 - R AH0 - D AA2 K - S IH0 Z +PARADOXICAL P EH2 - R AH0 - D AA1 K - S IH0 - K AH0 L +PARADOXICALLY P EH2 - R AH0 - D AA1 K - S AH0 K - L IY0 +PARADOXICALLY(2) P EH2 - R AH0 - D AA1 K - S AH0 - K AH0 - L IY0 +PARADY P ER0 - AE1 - D IY0 +PARADYNE P EH1 - R AH0 - D AY2 N +PARADYNE'S P EH1 - R AH0 - D AY2 N Z +PARAFFIN P EH1 - R AH0 - F AH0 N +PARAG P ER0 - AA1 G +PARAGON P EH1 - R AH0 - G AA2 N +PARAGRAPH P AE1 - R AH0 - G R AE2 F +PARAGRAPH(2) P EH1 - R AH0 - G R AE2 F +PARAGRAPHS P AE1 - R AH0 - G R AE2 F S +PARAGRAPHS(2) P EH1 - R AH0 - G R AE2 F S +PARAGUAY P EH1 - R AH0 - G W EY2 +PARAGUAYAN P EH2 - R AH0 - G W AY1 - AH0 N +PARAKEET P EH1 - R AH0 - K IY2 T +PARAKEETS P EH1 - R AH0 - K IY2 T S +PARALEGAL P EH2 - R AH0 - L IY1 - G AH0 L +PARALEGALS P EH2 - R AH0 - L IY1 - G AH0 L Z +PARALLAX P EH1 - R AH0 - L AE2 K S +PARALLEL P EH1 - R AH0 - L EH2 L +PARALLELED P EH1 - R AH0 - L EH2 L D +PARALLELING P EH1 - R AH0 - L EH2 - L IH0 NG +PARALLELISM P EH1 - R AH0 - L EH2 - L IH2 - Z AH0 M +PARALLELS P EH1 - R AH0 - L EH2 L Z +PARALYMPIC P EH2 - R AH0 - L IH1 M - P IH0 K +PARALYSIS P ER0 - AE1 - L AH0 - S AH0 S +PARALYSIS(2) P ER0 - AE1 - L IH0 - S IH0 S +PARALYTIC P EH2 - R AH0 - L IH1 - T IH0 K +PARALYZE P EH1 - R AH0 - L AY2 Z +PARALYZED P EH1 - R AH0 - L AY2 Z D +PARALYZES P EH1 - R AH0 - L AY2 - Z IH0 Z +PARALYZING P EH1 - R AH0 - L AY2 - Z IH0 NG +PARAMAGNETIC P AE2 - R AH0 - M AE2 G - N EH1 - T IH0 K +PARAMAX P EH1 - R AH0 - M AE0 K S +PARAMECIUM P EH2 - R AH0 - M IY1 - S IY0 - AH0 M +PARAMEDIC P EH2 - R AH0 - M EH1 - D IH0 K +PARAMEDICS P EH2 - R AH0 - M EH1 - D IH0 K S +PARAMETER P ER0 - AE1 - M AH0 - T ER0 +PARAMETERS P ER0 - AE1 - M AH0 - T ER0 Z +PARAMETRIC P EH2 - R AH0 - M EH1 - T R IH0 K +PARAMILITARIES P EH2 - R AH0 - M IH1 - L AH0 - T EH2 - R IY0 Z +PARAMILITARY P EH2 - R AH0 - M IH1 - L AH0 - T EH2 - R IY0 +PARAMO P ER0 - AE1 - M OW0 +PARAMONOVA P EH2 - R AH0 - M AH0 - N OW1 - V AH0 +PARAMORE P EH1 - AH0 - M AO1 R +PARAMOUNT P EH1 - R AH0 - M AW2 N T +PARAMOUNT'S P EH1 - R AH0 - M AW2 N T S +PARAMUS P ER0 - AE1 - M AH0 S +PARANA P ER0 - AA1 - N AH0 +PARANOIA P EH2 - R AH0 - N OY1 - AH0 +PARANOIAC P EH2 - R AH0 - N OY1 - AE2 K +PARANOID P EH1 - R AH0 - N OY2 D +PARANORMAL P EH0 - R AH0 - N AO1 R - M AH0 L +PARAPHERNALIA P EH2 - R AH0 - F AH0 - N EY1 - L Y AH0 +PARAPHRASE P EH1 - R AH0 - F R EY2 Z +PARAPHRASING P EH1 - R AH0 - F R EY2 - Z IH0 NG +PARAPLEGIA P EH2 - R AH0 - P L IY1 - JH IY0 - AH0 +PARAPLEGIC P EH2 - R AH0 - P L EH1 - G IH0 K +PARAPLEGIC(2) P EH2 - R AH0 - P L IY1 - JH IH0 K +PARASITE P EH1 - R AH0 - S AY2 T +PARASITES P EH1 - R AH0 - S AY2 T S +PARASITIC P EH2 - R AH0 - S IH1 - T IH0 K +PARASYMPATHETIC P EH2 - R AH0 - S IH2 M - P AH0 - TH EH1 - T IH0 K +PARATORE P ER0 - AH0 - T AO1 - R IY0 +PARATROOP P EH1 - R AH0 - T R UW2 P +PARATROOPER P EH1 - R AH0 - T R UW2 - P ER0 +PARATROOPERS P EH1 - R AH0 - T R UW2 - P ER0 Z +PARATROOPS P EH1 - R AH0 - T R UW2 P S +PARAZOA P EH2 - R AH0 - Z OW1 - AH0 +PARBOIL P AA1 R - B OY2 L +PARBOILING P AA1 R - B OY2 - L IH0 NG +PARC P AA1 R K +PARCEL P AA1 R - S AH0 L +PARCELED P AA1 R - S AH0 L D +PARCELING P AA1 R - S AH0 L - IH0 NG +PARCELING(2) P AA1 R - S L IH0 NG +PARCELL P AA0 R - S EY1 L +PARCELLS P AA1 R - S AH0 L Z +PARCELS P AA1 R - S AH0 L Z +PARCH P AA1 R CH +PARCHED P AA1 R CH T +PARCHER P AA1 R - CH ER0 +PARCHMAN P AA1 R K - M AH0 N +PARCHMENT P AA1 R CH - M AH0 N T +PARCHMENTLIKE P AA1 R CH - M AH0 N T - L AY2 K +PARCPLACE P AA1 R K - P L EY2 S +PARDE P AA1 R D +PARDEE P AA1 R - D IY0 +PARDEN P AA1 R - D AH0 N +PARDI P AA1 R - D IY0 +PARDINI P AA0 R - D IY1 - N IY0 +PARDO P AA1 R - D OW0 +PARDOE P AA1 R - D OW2 +PARDON P AA1 R - D AH0 N +PARDONED P AA1 R - D AH0 N D +PARDONING P AA1 R - D AH0 N - IH0 NG +PARDONS P AA1 R - D AH0 N Z +PARDUE P AA1 R - D UW2 +PARDUS P AA1 R - D AH0 S +PARDY P AA1 R - D IY0 +PARE P EH1 R +PARED P EH1 R D +PAREDES P AA0 - R EY1 - D EH0 S +PAREDEZ P AA0 - R EY1 - D EH0 Z +PAREDIS P EH1 - R AH0 - D IH2 S +PAREKH P AA1 - R IH0 K +PARELLA P AA0 - R EH1 - L AH0 +PARENT P EH1 - R AH0 N T +PARENT'S P EH1 - R AH0 N T S +PARENTAGE P EH1 - R AH0 N - T AH0 JH +PARENTAL P ER0 - EH1 N - T AH0 L +PARENTE P AA0 - R EH1 N - T IY0 +PARENTEAU P AA0 - R EH1 N - T OW0 +PARENTHESES P ER0 - EH1 N - TH AH0 - S IY2 Z +PARENTHESIS P ER0 - EH1 N - TH AH0 - S IH0 S +PARENTHETICALLY P ER0 - EH0 N - TH EH1 - T IH0 - K AH0 - L IY0 +PARENTHETICALLY(2) P ER0 - EH0 N - TH EH1 - T IH0 K - L IY0 +PARENTHOOD P EH1 - R AH0 N T - HH UH2 D +PARENTI P AA0 - R EH1 N - T IY0 +PARENTING P EH1 - R AH0 N - T IH0 NG +PARENTS P EH1 - R AH0 N T S +PARENTS' P EH1 - R AH0 N T S +PARES P EH1 R Z +PARETI P EH2 - R EH1 - T IY0 +PARETTI P EH2 - R EH1 - T IY0 +PARFITT P AA1 R - F IH0 T +PARFUMS P ER0 - F Y UW1 M Z +PARFUMS(2) P AA0 R - F Y UW1 M Z +PARGA P AA1 R - G AH0 +PARGESA P AA0 R - JH EH1 - S AH0 +PARHAM P AA1 R - HH AH0 M +PARIAGUA P AA0 - R IY0 - AA1 - G W AH0 +PARIAH P ER0 - AY1 - AH0 +PARIAHS P ER0 - AY1 - AH0 Z +PARIBAS P EH0 - R IY1 - B AH0 S +PARIBAS'S P EH0 - R IY1 - B AH0 - S IH0 Z +PARIETAL P ER0 - AY1 - AH0 - T AH0 L +PARIKH P AE1 - R IH0 K +PARILLO P AA0 - R IH1 - L OW0 +PARIMUTUEL P EH2 - R IH0 - M Y UW1 - CH UW0 - AH0 L +PARING P EH1 - R IH0 NG +PARIS P EH1 - R IH0 S +PARIS' P EH1 - R IH0 S +PARIS'(2) P AE1 - R IH0 S +PARIS'S P EH1 - R IH0 - S IH0 Z +PARIS(2) P AE1 - R IH0 S +PARISE P AA1 - R AY0 Z +PARISEAU P AE1 - R IH0 - S OW0 +PARISH P AE1 - R IH0 SH +PARISH(2) P EH1 - R IH0 SH +PARISHES P AE1 - R IH0 - SH IH0 Z +PARISHES(2) P EH1 - R IH0 - SH IH0 Z +PARISHIONER P ER0 - IH1 - SH AH0 - N ER0 +PARISHIONERS P ER0 - IH1 - SH AH0 - N ER0 Z +PARISI P AA0 - R IY1 - S IY0 +PARISIAN P ER0 - IH1 - ZH AH0 N +PARISIANS P ER0 - IH1 - S IY0 - AH0 N Z +PARISIENNE P ER0 - IH1 - S IY0 - EH2 N +PARITIES P EH1 - R AH0 - T IY0 Z +PARITY P EH1 - R AH0 - T IY0 +PARIZEAU P EH1 - R IH0 - Z OW2 +PARIZEK P ER0 - IH1 - Z EH0 K +PARIZO P AA0 - R IY1 - Z OW0 +PARK P AA1 R K +PARK'S P AA1 R K S +PARKA P AA1 R - K AH0 +PARKAS P AA1 R - K AH0 Z +PARKE P AA1 R K +PARKED P AA1 R K T +PARKER P AA1 R - K ER0 +PARKER'S P AA1 R - K ER0 Z +PARKERS P AA1 R - K ER0 Z +PARKERSBURG P AA1 R - K ER0 Z - B ER0 G +PARKERSON P AA1 R - K ER0 - S AH0 N +PARKES P AA1 R K S +PARKEY P AA1 R - K IY2 +PARKFIELD P AA1 R K - F IY0 L D +PARKHILL P AA1 R K - HH IH2 L +PARKHURST P AA1 R K - HH ER0 S T +PARKIN P AA1 R - K IH0 N +PARKING P AA1 R - K IH0 NG +PARKINS P AA1 R - K IH0 N Z +PARKINSON P AA1 R - K IH0 N - S AH0 N +PARKINSON'S P AA1 R - K IH0 N - S AH0 N Z +PARKINSONISM P AA1 R - K IH0 N - S AH0 - N IH2 - Z IH0 M +PARKISON P AA1 R - K IH0 - S AH0 N +PARKLAND P AA1 R K - L AE2 N D +PARKMAN P AA1 R K - M AH0 N +PARKS P AA1 R K S +PARKS' P AA1 R K S +PARKSIDE P AA1 R K - S AY2 D +PARKWAY P AA1 R K - W EY2 +PARLANCE P AA1 R - L AH0 N S +PARLATO P AA0 R - L AA1 - T OW0 +PARLAY P AA1 R - L EY0 +PARLAYED P AA1 R - L EY2 D +PARLAYING P AA1 R - L EY0 - IH0 NG +PARLEE P AA1 R - L IY2 +PARLER P AA1 R - L ER0 +PARLETT P AA1 R - L IH0 T +PARLETTE P AA2 R - L EH1 T +PARLEY P AA1 R - L IY0 +PARLIAMENT P AA1 R - L AH0 - M AH0 N T +PARLIAMENT'S P AA1 R - L AH0 - M AH0 N T S +PARLIAMENTARIAN P AA2 R - L AH0 - M AH0 N - T EH1 - R IY0 - AH0 N +PARLIAMENTARIANISM P AA2 R - L AH0 - M AH0 N - T EH1 - R IY0 - AH0 - N IH0 - Z AH0 M +PARLIAMENTARIANISM(2) P AA2 R - L AH0 - M AH0 N - T EH1 - R IY0 - AH0 - N IH0 Z M +PARLIAMENTARIANS P AA2 R - L AH0 - M EH0 N - T EH1 - R IY0 - AH0 N Z +PARLIAMENTARY P AA2 R - L AH0 - M EH1 N - T ER0 - IY0 +PARLIAMENTARY(2) P AA2 R - L AH0 - M EH1 - N ER0 - IY0 +PARLIAMENTS P AA1 R - L AH0 - M AH0 N T S +PARLIER P AA1 R - L IY0 - ER0 +PARLIN P AA1 R - L IH0 N +PARLODEL P AA1 R - L OW2 - D EH2 L +PARLOR P AA1 R - L ER0 +PARLORS P AA1 R - L ER0 Z +PARLOUR P AA1 R - L ER0 +PARLOW P AA1 R - L OW2 +PARMA P AA1 R - M AH0 +PARMALAT P AA1 R - M AH0 - L AE2 T +PARMAN P AA1 R - M AH0 N +PARMAR P AA1 R - M AA2 R +PARMELE P AA0 R - M EH1 - L IY0 +PARMELEE P AA1 R - M IH0 - L IY0 +PARMENTER P AA1 R - M AH0 N - T ER0 +PARMENTIER P AA1 R - M AH0 N - T IY0 - ER0 +PARMER P AA1 R - M ER0 +PARMESAN P AA1 R - M AH0 - Z AA2 N +PARMETER P AA1 R - M IH0 - T ER0 +PARMLEY P AA1 R M - L IY0 +PARNASSUS P AA2 R - N AE1 - S AH0 S +PARNELL P AA1 R - N AH0 L +PARNELLA P AA0 R - N EH1 - L AH0 +PARNES P AA1 R N Z +PARNESS P AA1 R - N AH0 S +PARO P AA1 - R OW0 +PAROCHIAL P ER0 - OW1 - K IY0 - AH0 L +PAROCHIALISM P ER0 - OW1 - K IY0 - AH0 - L IH2 - Z AH0 M +PARODI P AA0 - R OW1 - D IY0 +PARODIED P EH1 - R AH0 - D IY0 D +PARODIES P EH1 - R AH0 - D IY0 Z +PARODIST P AE1 - R AH0 - D IH0 S T +PARODY P EH1 - R AH0 - D IY0 +PAROLE P ER0 - OW1 L +PAROLED P ER0 - OW1 L D +PAROLEE P ER0 - OW2 - L IY1 +PAROLEES P ER0 - OW2 - L IY1 Z +PAROLES P ER0 - OW1 L Z +PAROLING P ER0 - OW1 - L IH0 NG +PARPART P AA1 R - P AA2 R T +PARQUET P AA0 R - K EY1 +PARR P AA1 R +PARRA P AA1 - R AH0 +PARRACK P AE1 - R AH0 K +PARRAMORE P AA0 - R AA1 - M AO0 R +PARRAS P EH1 - R AH0 Z +PARRELLA P AA0 - R EH1 - L AH0 +PARRENT P AA1 - R AH0 N T +PARRETT P AE1 - R IH0 T +PARRETTI P ER0 - EH1 - T IY0 +PARRETTI'S P ER0 - EH1 - T IY0 S +PARRIED P EH1 - R IY0 D +PARRILL P AE1 - R AH0 L +PARRILLA P AA2 - R IH1 - L AH0 +PARRILLO P AA2 - R IH1 - L OW0 +PARRINELLO P AA0 - R IY0 - N EH1 - L OW0 +PARRINO P AA2 - R IY1 - N OW0 +PARRIOTT P AE1 - R IY0 - AH0 T +PARRIS P EH1 - R IH0 S +PARRISH P EH1 - R IH0 SH +PARRISHES P EH1 - R IH0 - SH IH0 Z +PARROT P EH1 - R AH0 T +PARROTS P EH1 - R AH0 T S +PARROTT P EH1 - R AH0 T +PARROTTA P AA0 - R OW1 - T AH0 +PARROW P AE1 - R OW0 +PARRY P EH1 - R IY0 +PARS P AA1 R Z +PARSE P AA1 R S +PARSEC P AA1 R - S EH2 K +PARSEFAL P AA1 R - S IH0 - F AH0 L +PARSELL P AA1 R - S AH0 L +PARSER P AA1 R - S ER0 +PARSHALL P AA1 R - SH AH0 L +PARSHLEY P AA1 R SH - L IY0 +PARSIFAL P AA1 R - S IH0 - F AH0 L +PARSIFAL(2) P AA1 R - Z AH0 - F AA2 L +PARSIMONY P AA1 R - S AH0 - M OW2 - N IY0 +PARSING P AA1 R - S IH0 NG +PARSIPPANY P AA0 R - S IH1 - P AH0 - N IY0 +PARSKY P AA1 R S - K IY0 +PARSLEY P AA1 R S - L IY0 +PARSLOW P AA1 R - S L OW2 +PARSON P AA1 R - S AH0 N +PARSONAGE P AA1 R - S AH0 N - IH0 JH +PARSONS P AA1 R - S AH0 N Z +PARSOW P AA1 R - S OW0 +PART P AA1 R T +PART'S P AA1 R T S +PART-TIME P AA1 R T - T AY1 M +PARTAIN P AA0 R - T EY1 N +PARTAKE P AA0 R - T EY1 K +PARTCH P AA1 R CH +PARTE P AA1 R T +PARTE(2) P AA1 R - T EY0 +PARTECIPAZIONI P AA2 R - T EH2 - S IH0 - P AE2 - Z IY0 - OW1 - N IY0 +PARTED P AA1 R - T AH0 D +PARTED(2) P AA1 R - T IH0 D +PARTEE P AA1 R - T IY1 +PARTEN P AA1 R - T AH0 N +PARTENOPE P AA1 R - T AH0 - N OW2 P +PARTHENIA P AA0 R - TH EH1 - N IY0 - AH0 +PARTHENOGENETIC P AA2 R - TH AH0 - N OW0 - JH AH0 - N EH1 - T IH0 K +PARTHENON P AA1 R - TH AH0 - N AA2 N +PARTHIAN P AA1 R - TH IY0 - AH0 N +PARTI P AA1 R - T IY0 +PARTIAL P AA1 R - SH AH0 L +PARTIALITY P AA2 R - SH IY0 - AE1 - L AH0 - T IY0 +PARTIALLY P AA1 R - SH AH0 - L IY0 +PARTIALLY(2) P AA1 R SH - L IY0 +PARTICIPANT P AA0 R - T IH1 - S AH0 - P AH0 N T +PARTICIPANTS P AA0 R - T IH1 - S AH0 - P AH0 N T S +PARTICIPANTS' P AA0 R - T IH1 - S AH0 - P AH0 N T S +PARTICIPATE P AA0 R - T IH1 - S AH0 - P EY2 T +PARTICIPATED P AA0 R - T IH1 - S AH0 - P EY2 - T AH0 D +PARTICIPATED(2) P AA0 R - T IH1 - S AH0 - P EY2 - T IH0 D +PARTICIPATES P AA0 R - T IH1 - S AH0 - P EY2 T S +PARTICIPATING P AA0 R - T IH1 - S AH0 - P EY2 - T IH0 NG +PARTICIPATION P AA0 R - T IH2 - S AH0 - P EY1 - SH AH0 N +PARTICIPATIONS P AA0 R - T IH2 - S AH0 - P EY1 - SH AH0 N Z +PARTICIPATIVE P AA2 R - T IH1 - S AH0 - P AH0 - T IH0 V +PARTICIPATORY P AA2 R - T IH1 - S AH0 - P AH0 - T AO2 - R IY0 +PARTICLE P AA1 R - T AH0 - K AH0 L +PARTICLE(2) P AA1 R - T IH0 - K AH0 L +PARTICLES P AA1 R - T AH0 - K AH0 L Z +PARTICLES(2) P AA1 R - T IH0 - K AH0 L Z +PARTICULAR P ER0 - T IH1 - K Y AH0 - L ER0 +PARTICULAR(2) P AA2 - T IH1 - K Y AH0 - L ER0 +PARTICULARITY P ER0 - T IH2 - K Y AH0 - L AE1 - R AH0 - T IY0 +PARTICULARLY P AA2 R - T IH1 - K Y AH0 - L ER0 - L IY0 +PARTICULARLY(2) P ER0 - T IH1 - K Y AH0 - L ER0 - L IY0 +PARTICULARS P ER0 - T IH1 - K Y AH0 - L ER0 Z +PARTICULATE P ER0 - T IH1 - K Y AH0 - L AH0 T +PARTICULATES P AA2 R - T IH1 - K Y AH0 - L AH0 T S +PARTIDA P AA0 R - T IY1 - D AH0 +PARTIDO P AA0 R - T IY1 - D OW0 +PARTIED P AA1 R - T IY0 D +PARTIES P AA1 R - T IY0 Z +PARTIES' P AA1 R - T IY0 Z +PARTIES'(2) P AA1 R - T IY2 Z +PARTIN P AA1 R - T IH0 N +PARTING P AA1 R - T IH0 NG +PARTINGTON P AA1 R - T IH0 NG - T AH0 N +PARTISAN P AA1 R - T AH0 - Z AH0 N +PARTISANED P AA1 R - T AH0 - Z AH0 N D +PARTISANS P AA1 R - T AH0 - Z AH0 N Z +PARTISANSHIP P AA1 R - T AH0 - Z AH0 N - SH IH2 P +PARTITION P AA0 R - T IH1 - SH AH0 N +PARTITIONED P AA0 R - T IH1 - SH AH0 N D +PARTITIONING P AA0 R - T IH1 - SH AH0 N - IH0 NG +PARTITIONS P AA0 R - T IH1 - SH AH0 N Z +PARTLOW P AA1 R T - L OW2 +PARTLY P AA1 R T - L IY0 +PARTNER P AA1 R T - N ER0 +PARTNER'S P AA1 R T - N ER0 Z +PARTNERING P AA1 R T - N ER0 - IH0 NG +PARTNERS P AA1 R T - N ER0 Z +PARTNERS' P AA1 R T - N ER0 Z +PARTNERSHIP P AA1 R T - N ER0 - SH IH2 P +PARTNERSHIP'S P AA1 R T - N ER0 - SH IH2 P S +PARTNERSHIPS P AA1 R T - N ER0 - SH IH2 P S +PARTNERSHIPS' P AA1 R T - N ER0 - SH IH0 P S +PARTNEY P AA1 R T - N IY0 +PARTON P AA1 R - T AH0 N +PARTRIDGE P AA1 R - T R AH0 JH +PARTRIDGE(2) P AA1 R - T R IH0 JH +PARTRIDGES P AA1 R - T R IH0 - JH IH0 Z +PARTS P AA1 R T S +PARTS' P AA1 R T S +PARTTIME P AA1 R T - T AY2 M +PARTUM P AA1 R - T AH0 M +PARTY P AA1 R - T IY0 +PARTY'S P AA1 R - T IY0 Z +PARTYING P AA1 R - T IY0 - IH0 NG +PARTYKA P ER0 - T IH1 - K AH0 +PARVIN P AA1 R - V IH0 N +PARY P AA1 - R IY0 +PARZIALE P AA2 R - Z IY0 - AA1 - L IY0 +PARZYCH P AA1 R - Z IH0 HH +PAS P AA1 Z +PAS-DE-DEUX P AA1 - D AH0 - D UW1 +PASADENA P AE2 - S AH0 - D IY1 - N ER0 +PASCAGOULA P AE2 S - K AH0 - G UW1 - L AH0 +PASCAL P AE0 S - K AE1 L +PASCALE P AE0 S - K AE1 L +PASCARELLA P AA0 S - K AA0 - R EH1 - L AH0 +PASCARELLI P AA0 S - K AA0 - R EH1 - L IY0 +PASCH P AE1 S K +PASCHAL P AE1 - SH AH0 L +PASCHALL P AE1 - SH AH0 L +PASCHEN P AE1 - SH AH0 N +PASCHKE P AE1 SH K +PASCO P AA1 - S K OW0 +PASCOE P AE1 - S K OW0 +PASCUA P AA0 - S K UW1 - AH0 +PASCUAL P AE1 S - K UW0 - AH0 L +PASCUCCI P AA0 - S K UW1 - CH IY0 +PASCUTTO P AH0 - S K Y UW1 - T OW0 +PASCUZZI P AA0 - S K UW1 T - S IY0 +PASEK P AA1 - S EH0 K +PASEO P AA0 - S EY1 - OW2 +PASH P AE1 SH +PASHA P AH0 - SH AA1 +PASHA(2) P AA1 - SH AH0 +PASHLEY P AE1 SH - L IY0 +PASILLAS P AA0 - S IH1 - L AH0 Z +PASING P EY1 - S IH0 NG +PASION P AA0 - ZH IY1 N +PASK P AE1 S K +PASKE P EY1 S K +PASKEY P AE1 S - K IY0 +PASKO P AA1 - S K OW0 +PASLAY P AE1 S - L EY0 +PASLEY P AE1 S - L IY0 +PASMAN P AE1 S - M AH0 N +PASO P AE1 - S OW0 +PASO'S P AE1 - S OW0 Z +PASOK P AA1 - Z AA0 K +PASOK(2) P AE1 - S AO0 K +PASQUA P AA1 - S K W AH0 +PASQUALE P AA0 S - K W AA1 - L EY0 +PASQUARELLA P AA0 S - K W AA0 - R EH1 - L AH0 +PASQUARELLI P AA0 S - K W AA0 - R EH1 - L IY0 +PASQUARELLO P AA0 S - K W AA0 - R EH1 - L OW0 +PASQUARIELLO P AA0 S K - W AA0 - R IY0 - EH1 - L OW0 +PASQUE P AE1 S K +PASQUINELLI P AA0 S K - W IY0 - N EH1 - L IY0 +PASQUINI P AA0 S K - W IY1 - N IY0 +PASS P AE1 S +PASSABLE P AE1 - S AH0 - B AH0 L +PASSABLY P AE1 - S AH0 - B L IY0 +PASSAFIUME P AA0 - S AA0 - F IY1 - UW0 M +PASSAGE P AE1 - S AH0 JH +PASSAGE(2) P AE1 - S IH0 JH +PASSAGES P AE1 - S AH0 - JH AH0 Z +PASSAGES(2) P AE1 - S IH0 - JH IH0 Z +PASSAGEWAY P AE1 - S AH0 JH - W EY2 +PASSAGEWAY(2) P AE1 - S IH0 JH - W EY2 +PASSAIC P AH0 - S EY1 - IH0 K +PASSALACQUA P AE2 - S AH0 - L AE1 - K W AH0 +PASSANISI P AA0 - S AA0 - N IY1 - S IY0 +PASSANTE P AA0 - S AA1 N - T IY0 +PASSANTINO P AA0 - S AA0 N - T IY1 - N OW0 +PASSARELLA P AA0 - S AA0 - R EH1 - L AH0 +PASSARELLI P AA0 - S AA0 - R EH1 - L IY0 +PASSARETTI P AA0 - S AA0 - R EH1 - T IY0 +PASSARO P AA0 - S AA1 - R OW0 +PASSAT P AE1 - S AE0 T +PASSBOOK P AE1 S - B UH2 K +PASSE P AE2 - S EY1 +PASSED P AE1 S T +PASSEL P AE1 - S IH0 L +PASSENGER P AE1 - S AH0 N - JH ER0 +PASSENGER'S P AE1 - S AH0 N - JH ER0 Z +PASSENGERS P AE1 - S AH0 N - JH ER0 Z +PASSENGERS' P AE1 - S AH0 N - JH ER0 Z +PASSER P AE1 - S ER0 +PASSERBY P AE1 - S ER0 - B IY0 +PASSERO P AA0 - S EH1 - R OW0 +PASSERS P AE1 - S ER0 Z +PASSERSBY P AE1 - S ER0 Z - B IY0 +PASSES P AE1 - S AH0 Z +PASSES(2) P AE1 - S IH0 Z +PASSEY P AE1 - S IY0 +PASSIM P AE0 - S IY1 M +PASSING P AE1 - S IH0 NG +PASSINO P AA0 - S IY1 - N OW0 +PASSION P AE1 - SH AH0 N +PASSIONATE P AE1 - SH AH0 - N AH0 T +PASSIONATELY P AE1 - SH AH0 - N AH0 T - L IY0 +PASSIONS P AE1 - SH AH0 N Z +PASSIVE P AE1 - S IH0 V +PASSIVELY P AE1 - S IH0 V - L IY0 +PASSIVITY P AH0 - S IH1 - V IH0 - T IY0 +PASSMAN P AE1 S - M AH0 N +PASSMORE P AA1 S - M AO0 R +PASSON P AE1 - S AH0 N +PASSOVER P AE1 S - OW2 - V ER0 +PASSOW P AE1 - S OW0 +PASSPORT P AE1 S - P AO2 R T +PASSPORTS P AE1 S - P AO2 R T S +PASSWORD P AE1 S - W ER2 D +PASSWORDS P AE1 S - W ER2 D Z +PAST P AE1 S T +PASTA P AA1 - S T AH0 +PASTAS P AA1 - S T AH0 Z +PASTE P EY1 S T +PASTED P EY1 - S T IH0 D +PASTEL P AE0 - S T EH1 L +PASTELS P AE0 - S T EH1 L Z +PASTER P AE1 - S T ER0 +PASTERNACK P AE1 - S T ER0 - N AE0 K +PASTERNAK P AE1 - S T ER0 - N AE0 K +PASTERNAK'S P AE1 - S T ER0 - N AE0 K S +PASTES P EY1 S T S +PASTEUR P AH0 - S T UW1 R +PASTEURIZATION P AE2 S - CH ER0 - AH0 - Z EY1 - SH AH0 N +PASTEURIZE P AE1 S - CH ER0 - AY2 Z +PASTEURIZED P AE1 S - CH ER0 - AY2 Z D +PASTICHE P AE2 - S T IY1 SH +PASTIME P AE1 - S T AY2 M +PASTIMES P AE1 - S T AY2 M Z +PASTING P EY1 - S T IH0 NG +PASTOR P AE1 - S T ER0 +PASTOR'S P AE1 - S T ER0 Z +PASTORA P AE0 - S T AO1 - R AH0 +PASTORAL P AE1 - S T ER0 - AH0 L +PASTORALISM P AE1 - S T ER0 - AH0 - L IH2 - Z AH0 M +PASTORE P AE1 - S T AO2 R +PASTORINO P AA0 - S T AO0 - R IY1 - N OW0 +PASTORIUS P AE1 - S T AO0 - R IY0 - IH0 S +PASTORS P AE1 - S T ER0 Z +PASTRAMI P AH0 - S T R AA1 - M IY0 +PASTRANA P AA0 S - T R AE1 - N AH0 +PASTRIES P EY1 S - T R IY0 Z +PASTRY P EY1 S - T R IY0 +PASTS P AE1 S T S +PASTS(2) P AE1 S S +PASTS(3) P AE1 S +PASTULA P AA0 - S T UW1 - L AH0 +PASTURE P AE1 S - CH ER0 +PASTURES P AE1 S - CH ER0 Z +PASZEK P AA1 - SH EH0 K +PASZKIEWICZ P AA1 SH - K AH0 - V IH0 CH +PASZTOR P AE1 - S T ER0 +PAT P AE1 T +PAT'S P AE1 T S +PATAGONIA P AE2 - T AH0 - G OW1 - N IY0 - AH0 +PATAGONIAN P AE2 - T AH0 - G OW1 - N IY0 - AH0 N +PATAK P AE1 - T AH0 K +PATAKI P AH0 - T AA1 - K IY0 +PATAKI'S P AH0 - T AA1 - K IY0 Z +PATAKY P AE1 - T AH0 - K IY0 +PATALANO P AA0 - T AA0 - L AA1 - N OW0 +PATANE P AE1 - T AH0 N +PATCH P AE1 CH +PATCHED P AE1 CH T +PATCHELL P AE1 - CH AH0 L +PATCHEN P AE1 - CH AH0 N +PATCHES P AE1 - CH AH0 Z +PATCHES(2) P AE1 - CH IH0 Z +PATCHETT P AE1 - CH IH0 T +PATCHIN P AE1 - CH IH0 N +PATCHING P AE1 - CH IH0 NG +PATCHWORK P AE1 CH - W ER2 K +PATCHWORKS P AE1 CH - W ER2 K S +PATCHY P AE1 - CH IY0 +PATCO P AE1 T - K OW0 +PATE P EY1 T +PATEK P AA1 - T EH0 K +PATEL P AH0 - T EH1 L +PATELLA P AH0 - T EH1 - L AH0 +PATENAUDE P AE1 - T IH0 - N OW0 D +PATENT P AE1 - T AH0 N T +PATENTABLE P AE1 - T AH0 N - T AH0 - B AH0 L +PATENTED P AE1 - T AH0 N - T AH0 D +PATENTED(2) P AE1 - T AH0 N - T IH0 D +PATENTING P AE1 - T AH0 N - T IH0 NG +PATENTLY P AE1 - T AH0 N T - L IY0 +PATENTS P AE1 - T AH0 N T S +PATER P EY1 - T ER0 +PATERA P AA0 - T EH1 - R AH0 +PATERNAL P AH0 - T ER1 - N AH0 L +PATERNALISM P AH0 - T ER1 - N AH0 - L IH2 - Z AH0 M +PATERNALISTIC P AH0 - T ER2 - N AH0 - L IH1 - S T IH0 K +PATERNITY P AH0 - T ER1 - N IH0 - T IY0 +PATERNO P AA0 - T EH1 R - N OW0 +PATERNOSTRO P AA0 - T ER0 - N OW1 - S T R OW0 +PATERSON P AE1 - T ER0 - S AH0 N +PATES P EY1 T S +PATESE P AH0 - T IY1 - S IY0 +PATESE(2) P AH0 - T IY1 S +PATEY P EY1 - T IY0 +PATH P AE1 TH +PATHAK P AH0 - TH AA1 K +PATHAK(2) P AH0 - T AA1 K +PATHAN P AE1 - TH AH0 N +PATHANS P AE1 - TH AH0 N Z +PATHE P AE1 TH +PATHET-LAO P AE1 - TH AH0 T - L AW1 +PATHETIC P AH0 - TH EH1 - T IH0 K +PATHETICALLY P AH0 - TH EH1 - T IH0 - K AH0 - L IY0 +PATHETICALLY(2) P AH0 - TH EH1 - T IH0 K - L IY0 +PATHFINDER P AE1 TH - F AY2 N - D ER0 +PATHMARK P AE1 TH - M AA2 R K +PATHMARK'S P AE1 TH - M AA2 R K S +PATHOGEN P AE1 - TH AH0 - JH AH0 N +PATHOGENIC P AE2 - TH AH0 - JH EH1 - N IH0 K +PATHOGENS P AE1 - TH AH0 - JH AH0 N Z +PATHOLOGICAL P AE2 - TH AH0 - L AA1 - JH IH0 - K AH0 L +PATHOLOGICALLY P AE2 - TH AH0 - L AA1 - JH IH0 K - L IY0 +PATHOLOGIES P AH0 - TH AA1 - L AH0 - JH IY0 Z +PATHOLOGIST P AH0 - TH AA1 - L AH0 - JH AH0 S T +PATHOLOGISTS P AH0 - TH AA1 - L AH0 - JH AH0 S T S +PATHOLOGISTS(2) P AH0 - TH AA1 - L AH0 - JH AH0 S S +PATHOLOGISTS(3) P AH0 - TH AA1 - L AH0 - JH AH0 S +PATHOLOGY P AH0 - TH AA1 - L AH0 - JH IY0 +PATHOS P EY1 - TH AA0 S +PATHS P AE1 DH Z +PATHS(2) P AE1 TH S +PATHWAY P AE1 TH - W EY2 +PATHWAYS P AE1 TH - W EY2 Z +PATIENCE P EY1 - SH AH0 N S +PATIENT P EY1 - SH AH0 N T +PATIENT'S P EY1 - SH AH0 N T S +PATIENTLY P EY1 - SH AH0 N T - L IY0 +PATIENTS P EY1 - SH AH0 N T S +PATIENTS' P EY1 - SH AH0 N T S +PATIENTS(2) P EY1 - SH AH0 N Z +PATILLO P AH0 - T IH1 - L OW0 +PATIN P AE1 - T IH0 N +PATINA P AH0 - T IY1 - N AH0 +PATINKIN P AH0 - T IH1 NG - K IH0 N +PATINO P AA0 - T IY1 - N OW0 +PATIO P AE1 - T IY0 - OW2 +PATIOS P AE1 - T IY0 - OW2 Z +PATLAN P AE1 T - L AH0 N +PATLEX P AE1 T - L EH0 K S +PATLEX'S P AE1 T - L EH0 K - S IH0 Z +PATMAN P AE1 T - M AH0 N +PATMORE P AE1 T - M AO0 R +PATNAUDE P AA0 T - N AO1 - D IY0 +PATNODE P AE1 T - N OW2 D +PATON P AE1 - T AH0 N +PATONS P AE1 - T AH0 N Z +PATRIARCA P AA0 - T R IY0 - AA1 R - K AH0 +PATRIARCH P EY1 - T R IY0 - AA2 R K +PATRIARCH'S P EY1 - T R IY0 - AA2 R K S +PATRIARCHAL P EY2 - T R IY0 - AA1 R - K AH0 L +PATRIARCHATE P EY1 - T R IY0 - AA2 R - K AH0 T +PATRIARCHS P EY1 - T R IY0 - AA2 R K S +PATRIARCHY P EY1 - T R IY0 - AA2 R - K IY0 +PATRICE P AH0 - T R IY1 S +PATRICELLI P AA0 - T R IY0 - CH EH1 - L IY0 +PATRICIA P AH0 - T R IH1 - SH AH0 +PATRICIAN P AH0 - T R IH1 - SH AH0 N +PATRICIANS P AH0 - T R IH1 - SH AH0 N Z +PATRICIO P AH0 - T R IH1 - S IY0 - OW0 +PATRICK P AE1 - T R IH0 K +PATRICK'S P AE1 - T R IH0 K S +PATRICKS P AE1 - T R IH0 K S +PATRICOF P AE1 - T R IH0 - K AO2 F +PATRIDGE P AE1 - T R IH2 JH +PATRIE P AE1 - T ER0 - IY0 +PATRILINEAL P AE2 - T R IH0 - L IH1 - N IY0 - AH0 L +PATRIMONIAL P AE1 - T R AH0 - M OW2 - N Y AH0 L +PATRIMONIAL(2) P AE1 - T R AH0 - M OW2 - N IY0 - AH0 L +PATRIMONY P AE1 - T R AH0 - M OW2 - N IY0 +PATRIOT P EY1 - T R IY0 - AH0 T +PATRIOT'S P EY1 - T R IY0 - AH0 T S +PATRIOTIC P EY2 - T R IY0 - AA1 - T IH0 K +PATRIOTISM P EY1 - T R IY0 - AH0 - T IH2 - Z AH0 M +PATRIOTS P EY1 - T R IY0 - AH0 T S +PATRISTIC P AH0 - T R IH1 - S T IH0 K +PATRIZIO P AA0 - T R IY1 - Z IY0 - OW0 +PATROL P AH0 - T R OW1 L +PATROL'S P AH0 - T R OW1 L Z +PATROLLED P AH0 - T R OW1 L D +PATROLLING P AH0 - T R OW1 - L IH0 NG +PATROLMAN P AH0 - T R OW1 L - M AE2 N +PATROLMEN P AH0 - T R OW0 L - M EH1 N +PATROLS P AH0 - T R OW1 L Z +PATRON P EY1 - T R AH0 N +PATRONAGE P AE1 - T R AH0 - N IH0 JH +PATRONAGE(2) P EY1 - T R AH0 - N AH0 JH +PATRONAGE(3) P EY1 - T R AH0 - N IH0 JH +PATRONE P AA0 - T R OW1 - N IY0 +PATRONIZE P EY1 - T R AH0 - N AY2 Z +PATRONIZED P EY1 - T R AH0 - N AY2 Z D +PATRONIZING P EY1 - T R AH0 - N AY2 - Z IH0 NG +PATRONS P EY1 - T R AH0 N Z +PATRONYM P AE2 - T R AH0 - N IH1 M +PATRONYMIC P AE2 - T R AH0 - N IH1 - M IH0 K +PATRY P AE1 - T R IY0 +PATS P AE1 T S +PATSIES P AE1 T - S IY0 Z +PATSY P AE1 T - S IY0 +PATT P AE1 T +PATTED P AE1 - T AH0 D +PATTED(2) P AE1 - T IH0 D +PATTEE P AE1 - T IY1 +PATTEN P AE1 - T AH0 N +PATTEN'S P AE1 - T AH0 N Z +PATTER P AE1 - T ER0 +PATTERED P AE1 - T ER0 D +PATTERN P AE1 - T ER0 N +PATTERNED P AE1 - T ER0 N D +PATTERNS P AE1 - T ER0 N Z +PATTERSON P AE1 - T ER0 - S AH0 N +PATTERSON'S P AE1 - T ER0 - S AH0 N Z +PATTESON P AE1 - T IH0 - S AH0 N +PATTI P AE1 - T IY0 +PATTIE P AE1 - T IY0 +PATTIES P AE1 - T IY0 Z +PATTILLO P AA0 - T IH1 - L OW0 +PATTIN P AE1 - T IH0 N +PATTING P AE1 - T IH0 NG +PATTINSON P AE1 - T IH0 N - S AH0 N +PATTIS P AE1 - T IH0 S +PATTISON P AE1 - T IH0 - S AH0 N +PATTIZ P AE1 - T IH0 Z +PATTON P AE1 - T AH0 N +PATTON'S P AE1 - T AH0 N Z +PATTY P AE1 - T IY0 +PATTY'S P AE1 - T IY0 Z +PATY P EY1 - T IY0 +PATZ P AE1 T S +PATZER P EY1 T - Z ER0 +PATZKE P AE1 T S - K IY0 +PAUCITY P AO1 - S AH0 - T IY0 +PAUGH P AO1 +PAUL P AO1 L +PAUL'S P AO1 L Z +PAULA P AO1 - L AH0 +PAULDING P AO1 L - D IH0 NG +PAULE P AO1 L +PAULES P AO1 L Z +PAULETTA P AA0 - L EH1 - T AH0 +PAULETTE P AO0 - L EH1 T +PAULEY P AO1 - L IY0 +PAULHAMUS P AO1 L - HH EY2 - M AH0 S +PAULHUS P AW1 L - HH IH0 S +PAULI P AO1 - L IY0 +PAULICK P AO1 - L IH0 K +PAULIK P AO1 - L IH0 K +PAULIN P AO1 - L IH0 N +PAULINA P AO2 - L IY1 - N AH0 +PAULINE P AO0 - L IY1 N +PAULING P AO1 - L IH0 NG +PAULINO P AO0 - L IY1 - N OW0 +PAULITA P AO0 - L IY1 - T AH0 +PAULK P AO1 L K +PAULL P AO1 L +PAULLIN P AO1 - L IH0 N +PAULO P AO1 - L OW0 +PAULOS P AW1 - L OW0 Z +PAULS P AO1 L Z +PAULSEN P AW1 L - S AH0 N +PAULSON P AO1 L - S AH0 N +PAULUS P AO1 - L AH0 S +PAULY P AO1 - L IY0 +PAUNCHY P AO1 N - CH IY0 +PAUP P AO1 P +PAUPER P AO1 - P ER0 +PAUPERS P AO1 - P ER0 Z +PAUSE P AO1 Z +PAUSED P AO1 Z D +PAUSES P AO1 - Z AH0 Z +PAUSES(2) P AO1 - Z IH0 Z +PAUSING P AO1 - Z IH0 NG +PAUSTIAN P AO1 Z - CH IH0 N +PAUTLER P AW1 - T AH0 L - ER0 +PAUTLER(2) P AW1 T - L ER0 +PAUTSCH P AW1 CH +PAUTZ P AO1 T S +PAUWELS P AW1 - W AH0 L Z +PAVAO P AA1 - V AW0 +PAVAROTTI P AE2 - V ER0 - AA1 - T IY0 +PAVE P EY1 V +PAVED P EY1 V D +PAVEK P AE1 - V IH0 K +PAVEL P AE1 - V AH0 L +PAVELIC P AH0 - V EH1 - L IH0 K +PAVELIC(2) P AE1 V - L IH0 K +PAVELKA P AH0 - V EH1 L - K AH0 +PAVELKO P AH0 - V EH1 L - K OW0 +PAVEMENT P EY1 V - M AH0 N T +PAVEMENTS P EY1 V - M AH0 N T S +PAVER P EY1 - V ER0 +PAVES P EY1 V Z +PAVESE P AA0 - V EY1 - Z IY0 +PAVEY P EY1 - V IY0 +PAVIA P EY1 - V IY0 - AH0 +PAVICH P AE1 - V IH0 CH +PAVILION P AH0 - V IH1 L - Y AH0 N +PAVILIONS P AH0 - V IH1 L - Y AH0 N Z +PAVILLION P AH0 - V IH1 L - Y AH0 N +PAVING P EY1 - V IH0 NG +PAVLAK P AA1 V - L AH0 K +PAVLIC P AE1 V - L IH0 K +PAVLICA P AE1 V - L IH0 - K AH0 +PAVLICEK P AA1 V - L IH0 - CH EH0 K +PAVLICH P AA1 V - L IH0 HH +PAVLICK P AE1 V - L IH0 K +PAVLIK P AE1 V - L IH0 K +PAVLIS P AE1 V - L IH0 S +PAVLOCK P AE1 V - L AH0 K +PAVLOV P AE1 V - L AA0 V +PAVLOVIAN P AE2 V - L OW1 - V IY0 - AH0 N +PAVLOVIC P AH0 V - L AA1 - V IH0 K +PAVLOVICH P AE1 V - L AH0 - V IH0 CH +PAVO P AA1 - V OW0 +PAVON P AA1 - V AH0 N +PAVONE P AH0 - V OW1 N +PAW P AO1 +PAWELEK P AA0 - V EH1 - L EH0 K +PAWELSKI P AA0 - V EH1 L - S K IY0 +PAWELSKY P AA0 - V EH1 L - S K IY0 +PAWLAK P AO1 - L AH0 K +PAWLEY P AO1 - L IY0 +PAWLICKI P AA0 V - L IH1 T S - K IY0 +PAWLIK P AO1 - L IH0 K +PAWLIKOWSKI P AA0 V - L IH0 - K AO1 F S - K IY0 +PAWLING P AO1 - L IH0 NG +PAWLOSKI P AA0 V - L AW1 S - K IY0 +PAWLOWICZ P AA1 V - L AH0 - V IH0 CH +PAWLOWSKI P AA0 V - L AO1 F S - K IY0 +PAWLUK P AA1 V - L AH0 K +PAWN P AO1 N +PAWNED P AO1 N D +PAWNEE P AO1 - N IY1 +PAWNEES P AO1 - N IY1 Z +PAWNS P AO1 N Z +PAWNSHOP P AO1 N - SH AA2 P +PAWNSHOPS P AO1 N - SH AA2 P S +PAWS P AO1 Z +PAWSON P AO1 - S AH0 N +PAWTUCKET P AO2 - T AH1 - K IH0 T +PAWTUXET P AO2 - T AH1 K - S AH0 T +PAX P AE1 K S +PAXAR P AE1 K - S ER0 +PAXMAN P AE1 K S - M AH0 N +PAXON P AE1 K - S AH0 N +PAXSON P AE1 K - S AH0 N +PAXTON P AE1 K - S T AH0 N +PAY P EY1 +PAY'N P EY1 - AH0 N +PAYABLE P EY1 - AH0 - B AH0 L +PAYABLES P EY1 - AH0 - B AH0 L Z +PAYAN P EY1 - AH0 N +PAYBACK P EY1 - B AE2 K +PAYCHECK P EY1 - CH EH2 K +PAYCHECKS P EY1 - CH EH2 K S +PAYCHEX P EY1 - CH EH2 K S +PAYCO P EY1 - K OW0 +PAYDAY P EY1 - D EY2 +PAYE P EY1 +PAYER P EY1 - ER0 +PAYER'S P EY1 - ER0 Z +PAYERS P EY1 - ER0 Z +PAYERS' P EY1 - ER0 Z +PAYETTE P EY1 - EH1 T +PAYEUR P EY0 - ER1 +PAYIN' P EY1 - IH0 N +PAYING P EY1 - IH0 NG +PAYLESS P EY1 - L EH2 S +PAYLOAD P EY1 - L OW2 D +PAYLOAD'S P EY1 - L OW2 D Z +PAYLOADS P EY1 - L OW2 D Z +PAYLOR P EY1 - L ER0 +PAYMENT P EY1 - M AH0 N T +PAYMENTS P EY1 - M AH0 N T S +PAYMER P EY1 - M ER0 +PAYNA P EY1 - N AH0 +PAYNE P EY1 N +PAYNTER P EY1 N - T ER0 +PAYOFF P EY1 - AO2 F +PAYOFFS P EY1 - AO2 F S +PAYOLA P EY2 - OW1 - L AH0 +PAYOUT P EY1 - AW2 T +PAYOUTS P EY1 - AW2 T S +PAYROLL P EY1 - R OW2 L +PAYROLLS P EY1 - R OW2 L Z +PAYS P EY1 Z +PAYSINGER P EY1 - S IH0 NG - G ER0 +PAYSINGER(2) P EY1 - Z IH0 NG - G ER0 +PAYSON P EY1 - Z AH0 N +PAYSOP P EY1 S - AA2 P +PAYSOPS P EY1 - S AA2 P S +PAYTON P EY1 - T AH0 N +PAZ P AA1 Z +PAZNER P AA1 Z - N ER0 +PAZOS P AA1 - Z OW0 Z +PEA P IY1 +PEABODY P IY1 - B AA2 - D IY0 +PEABODY'S P IY1 - B AA2 - D IY0 Z +PEACE P IY1 S +PEACEABLE P IY1 - S AH0 - B AH0 L +PEACEABLY P IY1 - S AH0 - B L IY0 +PEACEFUL P IY1 S - F AH0 L +PEACEFULLY P IY1 S - F AH0 - L IY0 +PEACEFULNESS P IY1 S - F AH0 L - N AH0 S +PEACEKEEPER P IY1 S - K IY2 - P ER0 +PEACEKEEPERS P IY1 S - K IY2 - P ER0 Z +PEACEKEEPING P IY1 S - K IY2 - P IH0 NG +PEACEMAKER P IY1 S - M EY2 - K ER0 +PEACEMAKER'S P IY1 S - M EY2 - K ER0 Z +PEACEMAKERS P IY1 S - M EY2 - K ER0 Z +PEACEMAKING P IY1 S - M EY2 - K IH0 NG +PEACETIME P IY1 S - T AY2 M +PEACH P IY1 CH +PEACHER P IY1 - CH ER0 +PEACHES P IY1 - CH AH0 Z +PEACHES(2) P IY1 - CH IH0 Z +PEACHEY P IY1 - CH IY0 +PEACHTREE P IY1 CH - T R IY2 +PEACHY P IY1 - CH IY0 +PEACOCK P IY1 - K AA2 K +PEACOCKS P IY1 - K AA2 K S +PEADEN P EH1 - D AH0 N +PEAFOWL P IY1 - F AW2 L +PEAGLER P IY1 G - L ER0 +PEAK P IY1 K +PEAKE P IY1 K +PEAKED P IY1 K T +PEAKES P IY1 K S +PEAKES' P IY1 K S +PEAKING P IY1 - K IH0 NG +PEAKS P IY1 K S +PEAKS' P IY1 K S +PEAL P IY1 L +PEALE P IY1 L +PEALER P IY1 - L ER0 +PEANUT P IY1 - N AH0 T +PEANUT(2) P IY1 - N AH2 T +PEANUTS P IY1 - N AH0 T S +PEANUTS(2) P IY1 - N AH2 T S +PEAPACK P IY1 - P AE2 K +PEAPOD P IY1 - P AO2 D +PEAR P EH1 R +PEARCE P IH1 R S +PEARCY P ER1 - K IY0 +PEARL P ER1 L +PEARL-HARBOR P ER1 L - HH AA1 R - B ER0 +PEARLE P ER1 L +PEARLINE P ER1 - L AY0 N +PEARLING P ER1 - L IH0 NG +PEARLMAN P ER1 L - M AE2 N +PEARLS P ER1 L Z +PEARLSTEIN P ER1 L - S T AY2 N +PEARLSTEIN(2) P ER1 L - S T IY2 N +PEARLSTINE P ER1 L - S T AY2 N +PEARLY P ER1 - L IY0 +PEARMAN P EH1 R - M AH0 N +PEARS P EH1 R Z +PEARSE P ER1 S +PEARSON P IH1 R - S AH0 N +PEARSON'S P IH1 R - S AH0 N Z +PEART P ER1 T +PEARY P IY1 - R IY0 +PEAS P IY1 Z +PEASANT P EH1 - Z AH0 N T +PEASANTRY P EH1 - Z AH0 N - T R IY0 +PEASANTS P EH1 - Z AH0 N T S +PEASANTS' P EH1 - Z AH0 N T S +PEASE P IY1 Z +PEASE(2) P IY1 S +PEASEY P IY1 - Z IY0 +PEASEY'S P IY1 - Z IY0 Z +PEASLEE P IY1 Z - L IY2 +PEASLEY P IY1 Z - L IY0 +PEAT P IY1 T +PEAT'S P IY1 T S +PEATROSS P IY1 - T R AH0 S +PEAUDOUCE P OW1 - D UW2 S +PEAVEY P IY1 - V IY0 +PEAVLER P IY1 V - L ER0 +PEAVY P IY1 - V IY0 +PEAY P IY1 +PEBBLE P EH1 - B AH0 L +PEBBLES P EH1 - B AH0 L Z +PEBEREAU P EH1 - B ER0 - OW2 +PEBEREAU'S P EH1 - B ER0 - OW2 Z +PEBLEY P EH1 - B L IY0 +PECAN P AH0 - K AA1 N +PECAN(2) P IY1 - K AA2 N +PECAN(3) P IH0 - K AE1 N +PECANS P IH0 - K AE1 N Z +PECANS(2) P IY1 - K AA2 N Z +PECANS(3) P AH0 - K AA1 N Z +PECCI P EH1 - CH IY0 +PECH P EH1 K +PECHA P EH1 - CH AH0 +PECHACEK P EH1 - K AH0 - S IH0 K +PECHIN P EH1 - CH IH0 N +PECHINEY P EH1 - CH IH0 - N IY0 +PECHMAN P EH1 K - M AH0 N +PECHORA P AH0 - K AO1 - R AH0 +PECHORA(2) P EH1 - K ER0 - AH0 +PECHT P EH1 K T +PECINA P EH0 - CH IY1 - N AH0 +PECK P EH1 K +PECK'S P EH1 K S +PECKA P EH1 - K AH0 +PECKENPAUGH P IH0 - K EH1 N - P AO0 +PECKHAM P EH1 - K AH0 M +PECKING P EH1 - K IH0 NG +PECKINPAUGH P IH0 - K IH1 N - P AO0 +PECKMAN P EH1 K - M AH0 N +PECO P EY1 - K OW0 +PECO'S P EY1 - K OW0 Z +PECOR P EH1 - K ER0 +PECORA P EH0 - K AO1 - R AH0 +PECORARO P EH0 - K AO0 - R AA1 - R OW0 +PECORE P EH0 - K AO1 - R IY0 +PECOT P EH1 - K AH0 T +PECTIC P EH1 K - T IH0 K +PECTIN P EH1 K - T AH0 N +PECTIN(2) P EH1 K - T IH0 N +PECTORAL P EH1 K - T ER0 - AH0 L +PECTORIS P EH1 K - T AH0 - R IH0 S +PECULIAR P AH0 - K Y UW1 - L Y ER0 +PECULIAR(2) P IH0 - K Y UW1 - L Y ER0 +PECULIARITIES P IH0 - K Y UW2 - L IY0 - EH1 - R AH0 - T IY0 Z +PECULIARITY P IH0 - K Y UW2 - L IY0 - EH1 - R AH0 - T IY0 +PECULIARLY P IH0 - K Y UW1 - L Y ER0 - L IY0 +PECUNIARY P EH0 - K Y UW1 - N IY0 - EH2 - R IY0 +PEDAGOGICAL P EH2 - D AH0 - G AA1 - JH IH0 - K AH0 L +PEDAGOGY P EH1 - D AH0 - G OW2 - JH IY0 +PEDAL P EH1 - D AH0 L +PEDALED P EH1 - D AH0 L D +PEDALING P EH1 - D AH0 L - IH0 NG +PEDALING(2) P EH1 D - L IH0 NG +PEDALLED P EH1 - D AH0 L D +PEDALS P EH1 - D AH0 L Z +PEDANTIC P AH0 - D AE1 N - T IH0 K +PEDANTRY P EH1 - D AH0 N - T R IY0 +PEDDICORD P EH1 - D IH0 - K AO0 R D +PEDDIE P EH1 - D IY0 +PEDDLE P EH1 - D AH0 L +PEDDLED P EH1 - D AH0 L D +PEDDLER P EH1 D - L ER0 +PEDDLERS P EH1 D - L ER0 Z +PEDDLES P EH1 - D AH0 L Z +PEDDLING P EH1 - D AH0 L - IH0 NG +PEDDLING(2) P EH1 D - L IH0 NG +PEDDY P EH1 - D IY0 +PEDEN P EH1 - D AH0 N +PEDERSEN P EH1 - D ER0 - S AH0 N +PEDERSON P EH1 - D ER0 - S AH0 N +PEDESTAL P EH1 - D AH0 - S T AH0 L +PEDESTALS P EH1 - D AH0 - S T AH0 L Z +PEDESTRIAN P AH0 - D EH1 S - T R IY0 - AH0 N +PEDESTRIANS P AH0 - D EH1 S - T R IY0 - AH0 N Z +PEDIATRIC P IY2 - D IY0 - AE1 - T R IH0 K +PEDIATRICIAN P IY2 - D IY0 - AH0 - T R IH1 - SH AH0 N +PEDIATRICIANS P IY2 - D IY0 - AH0 - T R IH1 - SH AH0 N Z +PEDIATRICS P IY2 - D IY0 - AE1 - T R IH0 K S +PEDICURE P EH1 - D IH0 - K Y ER0 +PEDIGO P EH0 - D IY1 - G OW0 +PEDIGREE P EH1 - D AH0 - G R IY0 +PEDLEY P EH1 D - L IY0 +PEDONE P EY0 - D OW1 - N EY0 +PEDOPHILE P EH1 - D OW0 - F AY0 L +PEDOPHILE(2) P EH1 - D AH0 - F IH0 L +PEDOPHILES P EH1 - D OW0 - F AY0 L Z +PEDOPHILES(2) P EH1 - D AH0 - F IH0 L Z +PEDOPHILIA P EH2 - D AH0 - F IH1 - L Y AH0 +PEDOPHILIAC P EH2 - D AH0 - F IH1 L - Y AE0 K +PEDOPHILIACS P EH2 - D AH0 - F IH1 L - Y AE0 K S +PEDOPHILIC P EH0 - D OW0 - F IH1 - L IH0 K +PEDOWITZ P EH1 - D OW0 - IH0 T S +PEDOWITZ(2) P AH0 - D AW1 - IH0 T S +PEDRAZA P EY0 - D R AA1 - Z AH0 +PEDRETTI P EH0 D - R EH1 - T IY0 +PEDRICK P EH1 - D R IH0 K +PEDRO P EY1 - D R OW0 +PEDROLI P EH2 D - R OW1 - L IY0 +PEDROS P EY1 - D R OW0 Z +PEDROSA P EY0 - D R OW1 - S AH0 +PEDROSO P EY0 - D R OW1 - S OW0 +PEDROTTI P EH0 D - R OW1 - T IY0 +PEDROZA P EY0 - D R OW1 - Z AH0 +PEE P IY1 +PEEBLER P IY1 B - L ER0 +PEEBLES P IY1 - B AH0 L Z +PEED P IY1 D +PEEDIN P IY1 - D IH0 N +PEEK P IY1 K +PEEKED P IY1 K T +PEEKING P IY1 - K IH0 NG +PEEKS P IY1 K S +PEEL P IY1 L +PEELE P IY1 L +PEELED P IY1 L D +PEELER P IY1 - L ER0 +PEELING P IY1 - L IH0 NG +PEELS P IY1 L Z +PEENS P IY1 N Z +PEEP P IY1 P +PEEPING P IY1 - P IH0 NG +PEEPLES P IY1 - P AH0 L Z +PEEPS P IY1 P S +PEER P IH1 R +PEERAGE P IH1 - R AH0 JH +PEERED P IH1 R D +PEERING P IY1 - R IH0 NG +PEERLESS P IH1 R - L IH0 S +PEERS P IH1 R Z +PEERSON P IH1 R - S AH0 N +PEERY P IY1 - R IY0 +PEET P IY1 T +PEET'S P IY1 T S +PEETE P IY1 T +PEETERS P IY1 - T ER0 Z +PEETS P IY1 T S +PEETZ P IY1 T S +PEEVE P IY1 V +PEEVED P IY1 V D +PEEVES P IY1 V Z +PEEVEY P IY1 - V IY0 +PEEVISH P IY1 - V IH0 SH +PEEVY P IY1 - V IY0 +PEEWEE P IY1 - W IY2 +PEFFER P EH1 - F ER0 +PEFFLEY P EH1 F - L IY0 +PEG P EH1 G +PEGASUS P EH1 - G AH0 - S AH0 S +PEGBOARD P EH1 G - B AO2 R D +PEGBOARDS P EH1 G - B AO2 R D Z +PEGG P EH1 G +PEGGED P EH1 G D +PEGGIE P EH1 - G IY0 +PEGGING P EH1 - G IH0 NG +PEGGS P EH1 G Z +PEGGY P EH1 - G IY0 +PEGLOW P EH1 - G L OW2 +PEGMATITE P EH1 G - M AH0 - T AY2 T +PEGRAM P EH1 - G R AE2 M +PEGS P EH1 G Z +PEGUERO P EY0 - G EH1 - R OW0 +PEGUES P EY1 - G EH0 S +PEHL P EH1 L +PEHRSON P EH1 R - S AH0 N +PEI P EY1 +PEI'S P EY1 Z +PEIFER P AY1 - F ER0 +PEIFFER P AY1 - F ER0 +PEIL P IY1 L +PEINADO P EY0 - IY0 - N AA1 - D OW0 +PEINE P IY1 N +PEIPU P EY1 - P UW2 +PEIRCE P IH1 R S +PEIRCE(2) P IY1 R S +PEIRSON P IY1 R - S AH0 N +PEISER P AY1 - S ER0 +PEITZ P IY1 T S +PEIXOTO P AH0 K - S OW1 - T OW0 +PEJORATIVE P AH0 - JH AO1 - R AH0 - T IH0 V +PEKALA P IH0 - K AA1 - L AH0 +PEKAR P EH1 - K ER0 +PEKAREK P EH1 - K ER0 - IH0 K +PEKIN P IY1 - K AH0 N +PEKING P IY1 - K IH1 NG +PEKO P IY1 - K OW0 +PEKRUL P EH1 - K R AH0 L +PELADEAU P EH1 - L AH0 - D OW2 +PELAEZ P EY0 - L AA1 - EH0 Z +PELAGIA P EH0 - L AA1 - JH AH0 +PELAGIAN P IH0 - L EY1 - JH IY0 - AH0 N +PELAGIANS P IH0 - L EY1 - JH IY0 - AH0 N Z +PELAGIC P AH0 - L AE1 - JH IH0 K +PELAGREENY P EH0 - L AH0 - G R IY1 - N IY0 +PELAYO P EY0 - L EY1 - OW0 +PELC P EH1 L K +PELCHAT P EH1 L - CH AH0 T +PELCZAR P EH1 L - CH ER0 +PELE P EH1 - L EY0 +PELEKUNU P EH2 - L AH0 - K UW1 - N UW0 +PELEKUNU'S P EH2 - L AH0 - K UW1 - N UW0 Z +PELERIN P EH1 - L ER0 - IH0 N +PELFREY P EH1 L - F R IY0 +PELHAM P EH1 - L AH0 M +PELICAN P EH1 - L AH0 - K AH0 N +PELICAN'S P EH1 - L IH0 - K AH0 N Z +PELICANS P EH1 - L IH0 - K AH0 N Z +PELIKAN P EH1 - L IH0 - K AE0 N +PELINO P EH0 - L IY1 - N OW0 +PELISSIER P EH1 - L IH0 - S IY0 - ER0 +PELKA P EH1 L - K AH0 +PELKEY P EH1 L - K IY0 +PELKY P EH1 L - K IY0 +PELL P EH1 L +PELL'S P EH1 L Z +PELLA P EH1 - L AH0 +PELLAGRA P AH0 - L AE1 - G R AH0 +PELLAND P EH1 - L AH0 N D +PELLE P EH1 L +PELLECCHIA P EH2 - L EH1 - K IY0 - AH0 +PELLEGRIN P EH1 - L IH0 - G R IH0 N +PELLEGRINI P EH2 - L EH0 - G R IY1 - N IY0 +PELLEGRINO P EH2 - L EH0 - G R IY1 - N OW0 +PELLER P EH1 - L ER0 +PELLERIN P EH1 - L ER0 - IH0 N +PELLERITO P EH0 - L ER0 - IY1 - T OW0 +PELLET P EH1 - L AH0 T +PELLETED P EH1 - L AH0 - T AH0 D +PELLETED(2) P EH1 - L AH0 - T IH0 D +PELLETIER P EH0 - L AH0 - T IH1 R +PELLETS P EH1 - L AH0 T S +PELLETT P EH1 - L IH0 T +PELLEU P EH1 - L UW0 +PELLEY P EH1 - L IY0 +PELLICANE P EH1 - L IH0 - K EY2 N +PELLICANO P EH0 - L IY0 - K AA1 - N OW0 +PELLMAN P EH1 L - M AH0 N +PELLOW P EH1 - L OW0 +PELLUM P EH1 - L AH0 M +PELON P EH1 - L AH0 N +PELOPONNESIAN P EH2 - L AH0 - P AH0 - N IY1 - ZH AH0 N +PELOQUIN P EY0 - L OW0 - K W IY1 N +PELOSI P EH0 - L OW1 - S IY0 +PELOSO P EH0 - L OW1 - S OW0 +PELOT P EH1 - L AH0 T +PELPHREY P EH1 L - F R IY0 +PELS P EH1 L Z +PELSTER P EH1 L - S T ER0 +PELT P EH1 L T +PELTED P EH1 L - T IH0 D +PELTIER P EH1 L - T IY0 - ER0 +PELTO P EH1 L - T OW0 +PELTON P EH1 L - T AH0 N +PELTS P EH1 L T S +PELTZ P EH1 L T S +PELTZER P EH1 L T - Z ER0 +PELUSO P EH0 - L UW1 - S OW0 +PELVIC P EH1 L - V IH0 K +PELVIS P EH1 L - V AH0 S +PELZ P EH1 L Z +PELZEL P EH1 L - Z AH0 L +PELZER P EH1 L - Z ER0 +PEMBER P EH1 M - B ER0 +PEMBERTON P EH1 M - B ER0 - T AH0 N +PEMBINA P EH1 M - B IH0 - N AH0 +PEMBLE P EH1 M - B AH0 L +PEMBLETON P EH1 M - B AH0 L - T AA0 N +PEMBRIDGE P EH1 M - B R IH2 JH +PEMBROKE P EH1 M - B R OW2 K +PEMBROKE(2) P EH1 M - B R UH0 K +PEMEX P EH1 - M EH2 K S +PEMRICH P EH1 M - R IH2 CH +PEN P EH1 N +PEN'S P EH1 N Z +PENA P EH1 - N AH0 +PENA'S P EH1 - N AH0 Z +PENA'S(2) P EY1 - N Y AH0 Z +PENA(2) P EY1 - N Y AH0 +PENAL P IY1 - N AH0 L +PENALIZE P EH1 - N AH0 - L AY2 Z +PENALIZE(2) P IY1 - N AH0 - L AY2 Z +PENALIZED P IY1 - N AH0 - L AY2 Z D +PENALIZES P EH1 - N AH0 - L AY2 - Z IH0 Z +PENALIZES(2) P IY1 - N AH0 - L AY2 - Z IH0 Z +PENALIZING P IY1 - N AH0 - L AY2 - Z IH0 NG +PENALOZA P EH0 - N AA0 - L OW1 - Z AH0 +PENALTIES P EH1 - N AH0 L - T IY0 Z +PENALTY P EH1 - N AH0 L - T IY0 +PENANCE P EH1 - N AH0 N S +PENANG P EH1 - N AE0 NG +PENANS P EH1 - N AH0 N Z +PENBERTHY P IH0 N - B ER1 - TH IY0 +PENCE P EH1 N S +PENCHANT P EH1 N - CH AH0 N T +PENCIL P EH1 N - S AH0 L +PENCILED P EH1 N - S AH0 L D +PENCILS P EH1 N - S AH0 L Z +PENDANT P EH1 N - D AH0 N T +PENDARVIS P EH1 N - D AA0 R - V IH0 S +PENDELL P EH1 N - D AH0 L +PENDELTON P IH0 N - D EH1 L - T AH0 N +PENDER P EH1 N - D ER0 +PENDERGAST P EH1 N - D ER0 - G AE2 S T +PENDERGRAFT P EH1 N - D ER0 - G R AH0 F T +PENDERGRAPH P EH1 N - D ER0 - G R AE2 F +PENDERGRASS P EH1 N - D ER0 - G R AH0 S +PENDERGRAST P EH1 N - D ER0 - G R AH0 S T +PENDERS P EH1 N - D ER0 Z +PENDING P EH1 N - D IH0 NG +PENDLETON P EH1 N - D AH0 L - T AH0 N +PENDLEY P EH1 N D - L IY0 +PENDOLA P EH0 N - D OW1 - L AH0 +PENDRIL P EH1 N - D R IH0 L +PENDRIL'S P EH1 N - D R IH0 L Z +PENDRY P EH1 N - D R IY0 +PENDULOUS P EH1 N - JH AH0 - L AH0 S +PENDULUM P EH1 N - JH AH0 - L AH0 M +PENDYALA P EH2 - D Y AA1 - L AH0 +PENELOPE P AH0 - N EH1 - L AH0 - P IY0 +PENETRATE P EH1 - N AH0 - T R EY2 T +PENETRATED P EH1 - N AH0 - T R EY2 - T AH0 D +PENETRATED(2) P EH1 - N AH0 - T R EY2 - T IH0 D +PENETRATES P EH1 - N AH0 - T R EY2 T S +PENETRATING P EH1 - N AH0 - T R EY2 - T IH0 NG +PENETRATION P EH2 - N AH0 - T R EY1 - SH AH0 N +PENFIELD P EH1 N - F IY2 L D +PENFIL P EH1 N - F IH0 L +PENFOLD P EH1 N - F OW2 L D +PENG P EH1 NG +PENGASSAN P EH1 NG - G AE2 - S AH0 N +PENGELLY P EH1 NG - G AH0 - L IY0 +PENGO P EH1 NG - G OW0 +PENGUIN P EH1 NG - G W AH0 N +PENGUINS P EH1 NG - G W AH0 N Z +PENH P EH1 N +PENH'S P EH1 N Z +PENICILLIN P EH2 - N AH0 - S IH1 - L AH0 N +PENICILLINS P EH2 - N AH0 - S IH1 - L AH0 N Z +PENICK P EH1 - N IH0 K +PENIKESE P EH1 - N IH0 - K IY2 Z +PENILE P IY1 - N AY0 L +PENINGER P EH1 - N IH0 - NG ER0 +PENINSULA P AH0 - N IH1 N - S AH0 - L AH0 +PENINSULAR P AH0 - N IH1 N - S AH0 - L ER0 +PENIS P IY1 - N IH0 S +PENISES P IY1 - N IH0 - S IH0 Z +PENISTON P EH1 - N IH0 - S T AA0 N +PENITENT P EH1 - N IH0 - T IH0 N T +PENITENTIARIES P EH2 - N IH0 - T EH1 N - CH ER0 - IY0 Z +PENITENTIARY P EH2 - N IH0 - T EH1 N - CH ER0 - IY0 +PENIX P EH1 - N IH0 K S +PENJA P EH1 N - JH AH0 +PENJA'S P EH1 N - JH AH0 Z +PENKALA P IH0 NG - K AA1 - L AH0 +PENKAVA P EH0 NG - K AA1 - V AH0 +PENLAND P EH1 N - L AH0 N D +PENLEY P EH1 N - L IY0 +PENMAN P EH1 N - M AH0 N +PENN P EH1 N +PENN'S P EH1 N Z +PENNA P EH1 - N AH0 +PENNA(2) P EH2 N - S IH0 L - V EY1 - N Y AH0 +PENNACCHIO P EH0 - N AA1 - K IY0 - OW0 +PENNANT P EH1 - N AH0 N T +PENNANTS P EH1 - N AH0 N T S +PENNBANCORP P EH1 N - B AE1 N - K AO2 R P +PENNCORP P EH1 N - K AO2 R P +PENNEBAKER P EH1 - N IH0 - B AH0 - K ER0 +PENNEBAKER(2) P EH1 - N IH0 - B EY2 - K ER0 +PENNED P EH1 N D +PENNEL P EH1 - N AH0 L +PENNELL P EH1 - N AH0 L +PENNELLA P EH2 - N EH1 - L AH0 +PENNER P EH1 - N ER0 +PENNEX P EH1 - N AH0 K S +PENNEY P EH1 - N IY0 +PENNEY'S P EH1 - N IY0 Z +PENNICK P EH1 - N IH0 K +PENNIE P EH1 - N IY0 +PENNIES P EH1 - N IY0 Z +PENNILESS P EH1 - N IY0 - L AH0 S +PENNIMAN P EH1 - N IH0 - M AH0 N +PENNING P EH1 - N IH0 NG +PENNINGER P EH1 - N IH0 - NG ER0 +PENNINGS P EH1 - N IH0 NG Z +PENNINGTON P EH1 - N IH0 NG - T AH0 N +PENNINO P EH0 - N IY1 - N OW0 +PENNISI P EH0 - N IY1 - S IY0 +PENNIX P EH1 - N IH0 K S +PENNOCK P EH1 - N AH0 K +PENNS P EH1 N Z +PENNSAUKEN P EH2 N - S AO1 - K AH0 N +PENNSYLVANIA P EH2 N - S AH0 L - V EY1 - N Y AH0 +PENNSYLVANIA'S P EH2 N - S AH0 L - V EY1 - N Y AH0 Z +PENNSYLVANIAN P EH2 N - S IH0 L - V EY1 - N IY0 - AH0 N +PENNSYLVANIANS P EH2 N - S IH0 L - V EY1 - N IY0 - AH0 N Z +PENNWALT P EH1 N - W AO2 L T +PENNY P EH1 - N IY0 +PENNY'S P EH1 - N IY0 Z +PENNYPACKER P EH1 - N IH0 - P AE0 - K ER0 +PENNYPACKER(2) P EH1 - N IY0 - P AE0 - K ER0 +PENNYWELL P EH1 - N IY0 - W EH2 L +PENNZOIL P EH1 N - Z OY2 L +PENNZOIL'S P EH1 N - Z OY2 L Z +PENOBSCOT P AH0 - N AA1 B - S K AA0 T +PENOLOGY P IY0 - N AA1 - L AH0 - JH IY0 +PENOYER P EH1 - N OY0 - ER0 +PENRIL P EH1 N - R IH0 L +PENROD P EH1 N - R AA2 D +PENROD'S P EH1 N - R AA2 D Z +PENROSE P EH1 N - R OW2 Z +PENRY P EH1 N - R IY0 +PENS P EH1 N Z +PENSACOLA P EH2 N - S AH0 - K OW1 - L AH0 +PENSE P EH1 N S +PENSINGER P EH1 N - S IH0 N - JH ER0 +PENSION P EH1 N - SH AH0 N +PENSIONER P EH1 N - SH AH0 - N ER0 +PENSIONERS P EH1 N - SH AH0 - N ER0 Z +PENSIONS P EH1 N - SH AH0 N Z +PENSIVE P EH1 N - S IH0 V +PENSKE P EH1 N S - K IY0 +PENSON P EH1 N - S AH0 N +PENSYL P EH1 N - S IH0 L +PENT P EH1 N T +PENTA P EH1 N - T AH0 +PENTAGON P EH1 N - T IH0 - G AA2 N +PENTAGON'S P EH1 N - T IH0 - G AA2 N Z +PENTAGON'S(2) P EH1 - N IH0 - G AA2 N Z +PENTAGON(2) P EH1 - N IH0 - G AA2 N +PENTAGONS P EH1 N - T IH0 - G AA2 N Z +PENTAGONS(2) P EH1 - N IH0 - G AA2 N Z +PENTAIR P EH2 N - T EH1 R +PENTAMIDINE P EH2 N - T AE1 - M IH0 - D IY2 N +PENTANE P EH1 N - T EY2 N +PENTATHLON P EH0 N - T AE1 TH - L AH0 N +PENTAX P EH1 N - T AE2 K S +PENTECH P EH1 N - T EH2 K +PENTECOST P EH1 N - T AH0 - K AO2 S T +PENTECOSTAL P EH2 N - T AH0 - K AO1 - S T AH0 L +PENTHEA P EH1 N - TH IY0 - AH0 +PENTHOUSE P EH1 N T - HH AW2 S +PENTIMENTO P EH2 N - T IH0 - M EH1 N - T OW0 +PENTIUM P EH1 N - T IY0 - AH0 M +PENTIUMS P EH1 N - T IY0 - AH0 M Z +PENTLAND P EH1 N T - L AH0 N D +PENTON P EH1 N - T AH0 N +PENTOTHAL P EH1 N - T AH0 - TH AA0 L +PENTRON P EH1 N - T R AH0 N +PENTRUST P EH1 N - T R AH2 S T +PENTZ P EH1 N T S +PENUEL P EH1 - N UH0 L +PENUMBRA P IH0 - N AH1 M - B R AH0 +PENURIOUS P EH2 - N Y UW1 - R IY0 - AH0 S +PENURY P EH1 - N Y UH0 - R IY0 +PENWELL P EH1 N - W EH2 L +PENWEST P EH2 N - W EH1 S T +PENZA P EH1 N - Z AH0 +PENZER P EH1 N - Z ER0 +PEON P IY1 - AH0 N +PEONIES P IY1 - AH0 - N IY0 Z +PEONS P IY1 - AH0 N Z +PEONY P IY1 - AH0 - N IY0 +PEOPLE P IY1 - P AH0 L +PEOPLE'S P IY1 - P AH0 L Z +PEOPLED P IY1 - P AH0 L D +PEOPLES P IY1 - P AH0 L Z +PEOPLES' P IY1 - P AH0 L Z +PEORIA P IY0 - AO1 - R IY0 - AH0 +PEORIA'S P IY0 - 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T R OW1 - N IY0 - OW0 +PETROPOULOS P IH0 - T R AA1 - P AH0 - L IH0 S +PETROS P EH1 - T R OW0 Z +PETROSA P EH0 - T R OW1 - Z AH0 +PETROSINO P EH0 - T R OW0 - S IY1 - N OW0 +PETROSKI P IH0 - T R AW1 S - K IY0 +PETROSKI(2) P IH0 - T R AA1 S - K IY0 +PETROSKY P IH0 - T R OW1 S - K IY0 +PETROSSIAN P AH0 - T R AO1 - Z AH0 N +PETROSSIAN(2) P AH0 - T R OW1 - S Y AH0 N +PETROSYNTHESE P AH0 - T R OW1 - S IH0 N - TH IY2 S +PETROVIC P IH0 - T R AA1 - V IH0 K +PETROVICH P EH1 - T R AH0 - V IH0 CH +PETROVIETNAM P EH2 - T R OW0 - V IY2 - EH0 T - N AA1 M +PETROW P EH1 - T R OW2 +PETROWSKI P IH0 T - R AO1 F S - K IY0 +PETROWSKY P IH0 - T R AW1 S - K IY0 +PETRU P EH1 - T R UW0 +PETRUCCELLI P EH2 - T R UW0 - CH EH1 - L IY0 +PETRUCCI P EH0 - T R UW1 - CH IY0 +PETRUCELLI P EH0 - T R UW0 - CH EH1 - L IY0 +PETRUS P EH1 - T R AH0 S +PETRUSKA P IH0 - T R AH1 - S K AH0 +PETRUZZELLI P EH0 - T R UW0 T - S EH1 - L IY0 +PETRUZZI P EH0 - T R UW1 T - S IY0 +PETRY P EH1 - T R IY0 +PETS P EH1 T S +PETSCH P EH1 CH +PETSCHE P EH1 CH +PETSMART P EH1 T - S M AA2 R T +PETSTUFF P EH1 T - S T AH2 F +PETT P EH1 T +PETTA P EH1 - T AH0 +PETTAWAY P EH1 T - AH0 - W EY0 +PETTED P EH1 - T AH0 D +PETTED(2) P EH1 - T IH0 D +PETTEE P EH1 - T IY1 +PETTENGILL P EH1 - T IH0 NG - G AH0 L +PETTER P EH1 - T ER0 +PETTERSEN P EH1 - T ER0 - S AH0 N +PETTERSON P EH1 - T ER0 - S AH0 N +PETTERSSON P IY1 - T ER0 - S AH0 N +PETTERSSON(2) P EH1 - T ER0 - S AH0 N +PETTET P EH1 - T IH0 T +PETTEWAY P EH1 T - W EY0 +PETTEY P EH1 - T IY0 +PETTEYS P EH1 - T IY0 Z +PETTI P EH1 - T IY0 +PETTICOAT P EH1 - T IY0 - K OW2 T +PETTICOATS P EH1 - T IY0 - K OW2 T S +PETTIE P EH1 - T IY0 +PETTIES P EH1 - T IY0 Z +PETTIGREW P EH1 - T IH0 - G R UW0 +PETTIJOHN P EH1 - T IH0 - JH AA0 N +PETTINATO P EH0 - T IY0 - N AA1 - T OW0 +PETTINE P EH0 - T IY1 - N IY0 +PETTINESS P EH1 - T IY0 - N AH0 S +PETTING P EH1 - T IH0 NG +PETTINGER P EH1 - T IH0 - NG ER0 +PETTINGILL P IH0 - T IH1 NG - G AH0 L +PETTIS P EH1 - T IH0 S +PETTIT P EH1 - T IH0 T +PETTITT P EH1 - T IH0 T +PETTRY P EH1 - T R IY0 +PETTUS P EH1 - T AH0 S +PETTWAY P EH1 T - W EY2 +PETTY P EH1 - T IY0 +PETULANCE P EH1 - CH AH0 - L AH0 N S +PETULANT P EH1 - CH AH0 - L AH0 N T +PETUNIA P AH0 - T UW1 - N IY0 - AH0 +PETUNIA(2) P AH0 - T UW1 - N Y AH0 +PETUNIAS P AH0 - T UW1 - N IY0 - AH0 Z +PETUNIAS(2) P AH0 - T UW1 - N Y AH0 Z +PETWAY P EH1 T - W EY2 +PETZ P EH1 T S +PETZEL P EH1 T - Z AH0 L +PETZINGER P EH1 T - S IH2 - NG ER0 +PETZOLD P EH1 T - Z OW0 L D +PETZOLDT P EH1 T - Z OW0 L T +PEUGEOT P Y UW0 - ZH OW1 +PEUGH P Y UW1 +PEVEHOUSE P IY1 V - HH AW2 S +PEVELER P EH1 - V AH0 - L ER0 +PEVERELL P EH1 - V ER0 - EH2 L +PEVETO P EH0 - V EH1 - T OW0 +PEVEY P IH0 - V EY1 +PEW P Y UW1 +PEWABIC P Y UW2 - AA1 - B IH0 K +PEWEX P EH1 - W EH2 K S +PEWITT P Y UW1 - IH0 T +PEWS P Y UW1 Z +PEWTER P Y UW1 - T ER0 +PEYMAN P EY1 - M AH0 N +PEYRELEVADE P EH2 - R EH1 - L AH0 - V EY2 D +PEYSER P EY1 - Z ER0 +PEYTON P EY1 - T AH0 N +PEZ P EH1 Z +PEZESHKAN P AH0 - Z EH1 SH - K AH0 N +PEZIM P EH2 - Z IY1 M +PEZIM'S P EH2 - Z IY1 M Z +PEZZA P EH1 - Z AH0 +PEZZELLA P EH0 T - S EH1 - L AH0 +PEZZULLO P EH0 T - S UW1 - L OW0 +PFAFF F AE1 F +PFAHL F AA1 L +PFAHLER F AA1 - L ER0 +PFALZGRAF F AE1 L Z - G R AE0 F +PFANNENSTIEL F AE1 - N AH0 N - S T IY0 L +PFARR F AA1 R +PFAU F AW1 +PFEFFER F EH1 - F ER0 +PFEFFERKORN F EH1 - F ER0 - K AO2 R N +PFEFFERLE F EH1 - F ER0 - AH0 L +PFEIFER F AY1 - F ER0 +PFEIFF F AY1 F +PFEIFFER F AY1 - F ER0 +PFEIFLE F AY1 - F AH0 L +PFEIL F AY1 L +PFENNIG F EH1 - N IH0 G +PFENNIGS F EH1 - N IH0 G Z +PFENNING F EH1 - N IH0 NG +PFENNINGER F EH1 - N IH0 - NG ER0 +PFEUFFER F Y UW1 - F ER0 +PFIESTER F AY1 - S T ER0 +PFIFFNER F IH1 F - N ER0 +PFINGSTEN F IH1 NG - S T AH0 N +PFISTER F IH1 - S T ER0 +PFISTERER F IH1 - S T ER0 - ER0 +PFIZER F AY1 - Z ER0 +PFIZER'S F AY1 - Z ER0 Z +PFLAUM F L AW1 M +PFLEGER F L IY1 - G ER0 +PFLEIDERER F L AY1 - D ER0 - ER0 +PFLIEGER F L IY1 - G ER0 +PFLUEGER F L UW1 - G ER0 +PFLUG F L UW1 G +PFLUGER F L UW1 - G ER0 +PFLUM F L AH1 M +PFOHL F OW1 L +PFORZHEIMER F AO1 R Z - HH AY2 - M ER0 +PFOST F AA1 S T +PFUND F AH1 N D +PFUNDSTEIN F AH1 N D - S T IY2 N +PFUNDSTEIN(2) F AH1 N D - S T AY2 N +PGM P IY1 - JH IY1 - EH1 M +PH P IY1 - EY1 CH +PHAGAN F EY1 - G AH0 N +PHAGOCYTE F AE1 - G AH0 - S AY2 T +PHAGOCYTES F AE1 - G AH0 - S AY2 T S +PHAIR F EH1 R +PHALANGE F AH0 - L AE1 N JH +PHALANGE(2) F AH0 - L EY1 N JH +PHALANGES F AH0 - L AE1 N - JH IY0 Z +PHALANGES(2) F AH0 - L EY1 N - JH IH0 Z +PHALANX F EY1 - L AE0 NG K S +PHALEN F AE1 - L AH0 N +PHALLIC F AE1 - L IH0 K +PHAM F AE1 M +PHAN F AE1 N +PHANEUF F AE1 - N UW0 F +PHANTASM F AE2 N - T AE1 - Z AH0 M +PHANTASMAGORIA F AE0 N - T AE2 Z - M AH0 - G AO1 - R IY0 - AH0 +PHANTOM F AE1 N - T AH0 M +PHANTOM(2) F AE1 - N AH0 M +PHANTOMS F AE1 N - T AH0 M Z +PHANTOMS(2) F AE1 - N AH0 M Z +PHAR F AA1 R +PHARAOH F EH1 - R OW0 +PHARAOH(2) F EY1 - R OW0 +PHARAOHS F EH1 - R OW0 Z +PHARAOHS(2) F EY1 - R OW0 Z +PHARAON F EH1 - R OW0 N +PHARAONIC F EH2 - R AH0 - AA1 - N IH0 K +PHARES F EH1 R Z +PHARIS F AE1 - R AH0 S +PHARISAISM F AE1 - R IH0 - S EY2 - IH2 - Z AH0 M +PHARISS F ER0 - IH1 S +PHARMA F AA1 R - M AH0 +PHARMACEUTICAL F AA2 R - M AH0 - S UW1 - T IH0 - K AH0 L +PHARMACEUTICALS F AA2 R - M AH0 - S UW1 - T IH0 - K AH0 L Z +PHARMACIA F AA0 R - M EY1 - S IY0 - AH0 +PHARMACIES F AA1 R - M AH0 - S IY0 Z +PHARMACIST F AA1 R - M AH0 - S IH0 S T +PHARMACISTS F AA1 R - M AH0 - S IH0 S T S +PHARMACISTS(2) F AA1 R - M AH0 - S IH0 S S +PHARMACISTS(3) F AA1 R - M AH0 - S IH0 S +PHARMACOLOGICAL F AA2 R - M AH0 - K AH0 - L AA1 - JH IH0 - K AH0 L +PHARMACOLOGIST F AA2 R - M AH0 - K AA1 - L AH0 - JH IH0 S T +PHARMACOLOGISTS F AA2 R - M AH0 - K AA1 - L AH0 - JH IH0 S T S +PHARMACOLOGISTS(2) F AA2 R - M AH0 - K AA1 - L AH0 - JH IH0 S S +PHARMACOLOGISTS(3) F AA2 R - M AH0 - K AA1 - L AH0 - JH IH0 S +PHARMACOLOGY F AA2 R - M AH0 - K AA1 - L AH0 - JH IY0 +PHARMACY F AA1 R - M AH0 - S IY0 +PHARMAKINETIC F AA2 R - M AH0 - K AH0 - N EH1 - T IH0 K +PHARMAKINETICS F AA2 R - M AH0 - K AH0 - N EH1 - T IH0 K S +PHARO F AA1 - R OW0 +PHAROAH F EY1 - R OW0 +PHAROAH(2) F EH1 - R OW0 +PHAROAHS F EY1 - R OW0 Z +PHAROAHS(2) F EH1 - R OW0 Z +PHAROS F EH1 - R OW2 Z +PHARR F AA1 R +PHARRIS F AE1 - R IH0 S +PHARYNX F EH1 - R IH0 NG K S +PHASE F EY1 Z +PHASED F EY1 Z D +PHASEOUT F EY1 Z - AW2 T +PHASES F EY1 - Z AH0 Z +PHASES(2) F EY1 - Z IH0 Z +PHASING F EY1 - Z IH0 NG +PHEASANT F EH1 - Z AH0 N T +PHEASANTS F EH1 - Z AH0 N T S +PHEBE F IY1 - B IY0 +PHEBUS F IY1 - B AH0 S +PHEDRA F EH1 - D R AH0 +PHEGLEY F EH1 G - L IY0 +PHELAN F EH1 - L AH0 N +PHELPS F EH1 L P S +PHELPS'S F EH1 L P - S IH0 Z +PHENICIE F EH1 - N AH0 - K IY0 +PHENIX F EH1 - N IH0 K S +PHENOL F IY1 - N AA0 L +PHENOL(2) F EH1 - N AH0 L +PHENOLIC F AH0 - N AA1 - L IH0 K +PHENOLPHTHALEIN F IY2 - N AA0 L F - TH EY1 - L AH0 N +PHENOLPHTHALEIN(2) F EH2 - N AA0 L F - TH EY1 - L AH0 N +PHENOM F EH1 - N AH0 M +PHENOMENA F AH0 - N AA1 - M AH0 - N AH0 +PHENOMENAL F AH0 - N AA1 - M AH0 - N AH0 L +PHENOMENALLY F AH0 - N AA1 - M AH0 - N AH0 - L IY0 +PHENOMENON F AH0 - N AA1 - M AH0 - N AA2 N +PHENOTYPE F IY1 - N AH0 - T AY2 P +PHENOTYPES F IY1 - N AH0 - T AY2 P S +PHENOTYPIC F IY2 - N AH0 - T IH1 - P IH0 K +PHENYLTHALINE F IY2 - N AH0 L - TH EY1 - L IY0 N +PHERIGO F EH0 - R IY1 - G OW0 +PHEROMONE F EH1 - R AH0 - M OW2 N +PHEROMONES F EH1 - R AH0 - M OW2 N Z +PHERSON F ER1 - S AH0 N +PHETTEPLACE F EH1 T - P L EY0 S +PHEW F Y UW1 +PHI F AY1 +PHIBBS F IH1 B Z +PHIBRO F IH1 - B R OW0 +PHIFER F AY1 - F ER0 +PHIL F IH1 L +PHIL'S F IH1 L Z +PHILADELPHIA F IH2 - L AH0 - D EH1 L - F IY0 - AH0 +PHILADELPHIA'S F IH2 - L AH0 - D EH1 L - F IY0 - AH0 Z +PHILADELPHIAN F IH2 - L AH0 - D EH1 L - F IY0 - AH0 N +PHILADELPHIANS F IH2 - L AH0 - D EH1 L - F IY0 - AH0 N Z +PHILANA F IH0 - L AE1 - N AH0 +PHILANDERING F AY2 - L AE1 N - D ER0 - IH0 NG +PHILANDERING(2) F AH0 - L AE1 N - D ER0 - IH0 NG +PHILANTHA F IH0 - L AE1 N - TH AH0 +PHILANTHROPIC F IH2 - L AH0 N - TH R AA1 - P IH0 K +PHILANTHROPIES F AH0 - L AE1 N - TH R AH0 - P IY0 Z +PHILANTHROPIST F AH0 - L AE1 N - TH R AH0 - P AH0 S T +PHILANTHROPIST(2) F IH0 - L AE1 N - TH R AH0 - P IH0 S T +PHILANTHROPISTS F IH0 - L AE1 N - TH R AH0 - P IH0 S T S +PHILANTHROPISTS(2) F IH0 - L AE1 N - TH R AH0 - P IH0 S S +PHILANTHROPISTS(3) F IH0 - L AE1 N - TH R AH0 - P IH0 S +PHILANTHROPY F IH0 - L AE1 N - TH R AH0 - P IY0 +PHILBECK F IH1 L - B EH2 K +PHILBERT F IH1 L - B ER0 T +PHILBERTA F IH0 L - B ER1 - T AH0 +PHILBIN F IH1 L - B IH0 N +PHILBRICK F IH1 L - B R IH0 K +PHILBROOK F IH1 L - B R UH2 K +PHILBY F IH1 L - B IY0 +PHILENE F IH0 - L IY1 N +PHILEO F IH1 - L IY0 - OW0 +PHILHARMONIA F IH2 - L HH AA0 R - M OW1 - N IY0 - AH0 +PHILHARMONIC F IH2 - L HH AA2 R - M AA1 - N IH0 K +PHILHARMONIC'S F IH2 - L HH AA0 R - M AA1 - N IH0 K S +PHILHOWER F IH1 - L AW0 - ER0 +PHILIBERT F IH1 - L IH0 - B ER0 T +PHILIBOSIAN F IH2 - L IH0 - B OW1 - Z IY0 - AH0 N +PHILIDA F AH0 - L IY1 - D AH0 +PHILINA F AH0 - L IY1 - N AH0 +PHILIP F IH1 - L AH0 P +PHILIP'S F IH1 - L AH0 P S +PHILIP'S(2) F IH1 - L IH0 P S +PHILIP(2) F IH1 - L IH0 P +PHILIPP F IH1 - L IH0 P +PHILIPPA F IH0 - L IH1 - P AH0 +PHILIPPE F IH0 - L IY1 - P EY0 +PHILIPPI F IH0 - L IH1 - P IY0 +PHILIPPIC F IH0 - L IH1 - P IH0 K +PHILIPPINE F IH1 - L AH0 - P IY2 N +PHILIPPINES F IH1 - L AH0 - P IY2 N Z +PHILIPPINES' F IH1 - L AH0 - P IY2 N Z +PHILIPPINO F IH2 - L AH0 - P IY1 - N OW0 +PHILIPPS F IH1 - L IH0 P S +PHILIPS F IH1 - L AH0 P S +PHILIPS' F IH1 - L IH0 P S +PHILIPS'S F IH1 - L IH0 P - S IH0 Z +PHILIPS(2) F IH1 - L IH0 P S +PHILIPSON F IH1 - L AH0 P - S AH0 N +PHILISTIA F IH0 - L IH1 - S T IY0 - AH0 +PHILISTINE F IH1 - L AH0 - S T IY2 N +PHILISTINES F IH1 - L AH0 - S T IY2 N Z +PHILLABAUM F IH1 - L AH0 - B AW2 M +PHILLEY F IH1 - L IY0 +PHILLIE F IH1 - L IY0 +PHILLIES F IH1 - L IY0 Z +PHILLIP F IH1 - L IH0 P +PHILLIP'S F IH1 - L IH0 P S +PHILLIPE F IH0 - L IY1 P +PHILLIPINE F IH1 - L AH0 - P IY2 N +PHILLIPINE(2) F IH2 - L AH0 - P IY1 N +PHILLIPINES F IH2 - L AH0 - P IY1 N Z +PHILLIPP F IH1 - L IH0 P +PHILLIPPE F IH1 - L AH0 P +PHILLIPPI F AH0 - L IY1 - P IY0 +PHILLIPPS F IH1 - L IH0 P S +PHILLIPS F IH1 - L IH0 P S +PHILLIPS' F IH1 - L IH0 P S +PHILLIPS'S F IH1 - L IH0 P - S IH0 Z +PHILLIPSON F IH1 - L AH0 P - S AH0 N +PHILLIS F IH1 - L IH0 S +PHILLY F IH1 - L IY0 +PHILO F IY1 - L OW0 +PHILODENDRON F IH2 - L AH0 - D EH1 N - D R AH0 N +PHILOMELA F IH2 - L AH0 - M IY1 - L AH0 +PHILOMENA F IH0 - L AH0 - M IY1 - N AH0 +PHILON F IH1 - L AH0 N +PHILOSOPHER F AH0 - L AA1 - S AH0 - F ER0 +PHILOSOPHERS F AH0 - L AA1 - S AH0 - F ER0 Z +PHILOSOPHIC F IH2 - L AH0 - S AA1 - F IH0 K +PHILOSOPHICAL F IH2 - L AH0 - S AA1 - F IH0 - K AH0 L +PHILOSOPHICALLY F IH2 - L AH0 - S AA1 - F IH0 - K AH0 - L IY0 +PHILOSOPHICALLY(2) F IH2 - L AH0 - S AA1 - F IH0 K - L IY0 +PHILOSOPHIES F AH0 - L AA1 - S AH0 - F IY0 Z +PHILOSOPHY F AH0 - L AA1 - S AH0 - F IY0 +PHILP F IH1 L P +PHILPOT F IH1 L - P AH0 T +PHILPOTT F IH1 L - P AH0 T +PHILSON F IH1 L - S AH0 N +PHILYAW F IH1 - L Y AA2 +PHINEAS F IH1 - N IY0 - AH0 S +PHINNEY F IH1 - N IY0 +PHIPPEN F IH1 - P AH0 N +PHIPPS F IH1 P S +PHLCORP P IY1 - EY1 - CH EH1 L - K AO1 R P +PHLEBITIS F L AH0 - B AY1 - T IH0 S +PHLOGOPITE F L AA1 - G AH0 - P AY2 T +PHNOM F N AA1 M +PHNOM(2) P AH0 - N AA1 M +PHOBIA F OW1 - B IY0 - AH0 +PHOBIAS F OW1 - B IY0 - AH0 Z +PHOBIC F OW1 - B IH0 K +PHOBOS F OW1 - B OW0 S +PHOEBE F IY1 - B IY0 +PHOEBUS F IY1 - B AH0 S +PHOENICIA F AH0 - N IY1 - SH AH0 +PHOENICIAN F AH0 - N IY1 - SH AH0 N +PHOENICIANS F AH0 - N IY1 - SH AH0 N Z +PHOENIX F IY1 - N IH0 K S +PHOENIX'S F IY1 - N IH0 K - S IH0 Z +PHONE F OW1 N +PHONE'S F OW1 N Z +PHONED F OW1 N D +PHONEMATE F OW1 N - M EY2 T +PHONES F OW1 N Z +PHONETIC F AH0 - N EH1 - T IH0 K +PHONETICALLY F AH0 - N EH1 - T IH0 K - L IY0 +PHONETICS F AH0 - N EH1 - T IH0 K S +PHONEY F OW1 - N IY0 +PHONIC F AA1 - N IH0 K +PHONICS F AA1 - N IH0 K S +PHONING F OW1 - N IH0 NG +PHONOGRAPH F OW1 - N AH0 - G R AE2 F +PHONOLOGICAL F OW2 - N AH0 - L AA1 - JH IH0 - K AH0 L +PHONY F OW1 - N IY0 +PHOSPHATE F AA1 S - F EY0 T +PHOSPHATES F AA1 S - F EY0 T S +PHOSPHATIC F AA0 S - F AE1 - T IH0 K +PHOSPHOR F AA1 S - F AO2 R +PHOSPHORESCENCE F AA2 S - F ER0 - EH1 - S AH0 N S +PHOSPHORIC F AA1 S - F ER0 - IH0 K +PHOSPHORITE F AA1 S - F ER0 - AY2 T +PHOSPHORITES F AA1 S - F ER0 - AY2 T S +PHOSPHOROUS F AA1 S - F ER0 - AH0 S +PHOSPHORS F AA1 S - F AO2 R Z +PHOSPHORUS F AA1 S - F ER0 - AH0 S +PHOTO F OW1 - T OW2 +PHOTO'S F OW1 - T OW2 Z +PHOTOCALL F OW1 - T OW2 - K AA0 L +PHOTOCHEMICAL F OW2 - T OW0 - K EH1 - M AH0 - K AH0 L +PHOTOCHEMICAL(2) F OW2 - T OW0 - K EH1 - M IH0 - K AH0 L +PHOTOCONDUCTIVE F OW2 - T OW0 - K AH0 N - D AH1 K - T IH0 V +PHOTOCOPIED F OW1 - T OW0 - K AA2 - P IY0 D +PHOTOCOPIER F OW1 - T OW0 - K AA2 - P IY0 - ER0 +PHOTOCOPIERS F OW1 - T OW0 - K AA2 - P IY0 - ER0 Z +PHOTOCOPIES F OW1 - T OW0 - K AA2 - P IY0 Z +PHOTOCOPY F OW1 - T OW0 - K AA2 - P IY0 +PHOTOCOPYING F OW1 - T OW0 - K AA2 - P IY0 - IH0 NG +PHOTODYNAMIC F OW2 - T OW0 - D AY0 - N AE1 - M IH0 K +PHOTOELECTRIC F OW2 - T OW0 - IH0 - L EH1 K - T R IH0 K +PHOTOFINISHER F OW2 - T OW0 - F IH1 - N IH2 - SH ER0 +PHOTOFINISHERS F OW2 - T OW0 - F IH1 - N IH2 - SH ER0 Z +PHOTOFINISHING F OW1 - T OW0 - F IH1 - N IH0 - SH IH0 NG +PHOTOGENIC F OW2 - T AH0 - JH EH1 - N IH0 K +PHOTOGRAPH F OW1 - T AH0 - G R AE2 F +PHOTOGRAPHED F OW1 - T AH0 - G R AE2 F T +PHOTOGRAPHER F AH0 - T AA1 - G R AH0 - F ER0 +PHOTOGRAPHER'S F AH0 - T AA1 - G R AH0 - F ER0 Z +PHOTOGRAPHERS F AH0 - T AA1 - G R AH0 - F ER0 Z +PHOTOGRAPHIC F OW2 - T AH0 - G R AE1 - F IH0 K +PHOTOGRAPHING F OW1 - T AH0 - G R AE2 - F IH0 NG +PHOTOGRAPHS F OW1 - T AH0 - G R AE2 F S +PHOTOGRAPHY F AH0 - T AA1 - G R AH0 - F IY0 +PHOTOJOURNALIST F OW2 - T OW0 - JH ER1 - N AH0 - L AH0 S T +PHOTOMETER F AH0 - T AA1 - M IH0 - T ER0 +PHOTON F OW1 - T AA2 N +PHOTONS F OW1 - T AA2 N Z +PHOTOPHORESIS F OW2 - T OW0 - F ER0 - IY1 - S IH0 S +PHOTOREFRACTIVE F OW2 - T OW0 - R IH0 - F R AE1 K - T IH0 V +PHOTOS F OW1 - T OW2 Z +PHOTOSYNTHESIS F OW2 - T OW0 - S IH1 N - TH AH0 - S IH0 S +PHOTOTAXIS F OW2 - T AH0 - T AE1 K - S IH0 S +PHOTOTRON F OW1 - T AH0 - T R AA0 N +PHOTOVOLTAIC F OW2 - T AH0 - V OW2 L - T EY1 - IH0 K +PHOTOVOLTAICS F OW1 - T OW0 - V OW0 L - T EY1 - IH0 K S +PHOTRONIC F OW2 - T R AA1 - N IH0 K +PHOTRONICS F OW2 - T R AA1 - N IH0 K S +PHRASE F R EY1 Z +PHRASED F R EY1 Z D +PHRASEOLOGY F R EY2 - Z IY0 - AO1 - L AO0 - JH IY0 +PHRASES F R EY1 - Z AH0 Z +PHRASES(2) F R EY1 - Z IH0 Z +PHRASING F R EY1 - Z IH0 NG +PHRYGIAN F R IH1 - JH IY0 - AH0 N +PHU F UW1 +PHUA F Y UW1 - AH0 +PHUNG F AH1 NG +PHUONG F UW0 - AO1 NG +PHUT F AH1 T +PHY F AY1 +PHYLA F AY1 - L AH0 +PHYLE F AY1 L +PHYLIS F AY1 - L AH0 S +PHYLLIS F IH1 - L IH0 S +PHYLLYS F IH1 - L IY0 Z +PHYLOGENY F AY0 - L AA1 - JH AH0 - N IY0 +PHYLUM F AY1 - L AH0 M +PHYSICAL F IH1 - Z IH0 - K AH0 L +PHYSICALLY F IH1 - Z IH0 - K AH0 - L IY0 +PHYSICALLY(2) F IH1 - Z IH0 K - L IY0 +PHYSICALS F IH1 - Z IH0 - K AH0 L Z +PHYSICIAN F AH0 - Z IH1 - SH AH0 N +PHYSICIAN'S F AH0 - Z IH1 - SH AH0 N Z +PHYSICIANS F AH0 - Z IH1 - SH AH0 N Z +PHYSICIANS' F IH0 - Z IH1 - SH AH0 N Z +PHYSICIANS(2) F IH0 - Z IH1 - SH AH0 N Z +PHYSICIST F IH1 - Z IH0 - S IH0 S T +PHYSICISTS F IH1 - Z IH0 - S IH0 S T S +PHYSICISTS(2) F IH1 - Z IH0 - S IH0 S S +PHYSICISTS(3) F IH1 - Z IH0 - S IH0 S +PHYSICS F IH1 - Z IH0 K S +PHYSICS' F IH1 - S IH0 K S +PHYSIO F IH1 - Z IY0 - OW0 +PHYSIOLOGICAL F IH2 - Z IY0 - AH0 - L AA1 - JH IH0 - K AH0 L +PHYSIOLOGICALLY F IH2 - Z IY0 - AH0 - L AA1 - JH IH0 K - L IY0 +PHYSIOLOGIST F IH2 - Z IY0 - AA1 - L AH0 - JH IH0 S T +PHYSIOLOGY F IH2 - Z IY0 - AA1 - L AH0 - JH IY0 +PHYSIQUE F AH0 - Z IY1 K +PHYTOGEOGRAPHY F AY0 - T OW0 - JH IY0 - AA1 - G R AH0 - F IY0 +PHYTOPLANKTON F AY2 - T OW0 - P L AE1 NG - T AH0 N +PI P AY1 +PI-MESON P AY1 - M EY1 - Z AA2 N +PIA P IY1 - AH0 +PIACENTE P IY0 - AA0 - CH EH1 N - T IY0 +PIACENTINI P IY0 - AA0 - CH EH0 N - T IY1 - N IY0 +PIAGET P IY2 - AH0 - Z EY1 +PIAGET(2) P IY2 - AH0 - ZH EY1 +PIANA P IY0 - AE1 - N AH0 +PIANIST P IY0 - AE1 - N AH0 S T +PIANIST'S P IY0 - AE1 - N AH0 S T S +PIANIST'S(2) P IY1 - AH0 - N IH0 S T S +PIANIST(2) P IY0 - AA1 - N AH0 S T +PIANIST(3) P IY1 - AH0 - N IH0 S T +PIANISTS P IY0 - AE1 - N AH0 S T S +PIANISTS(2) P IY0 - AE1 - N AH0 S S +PIANISTS(3) P IY1 - AH0 - N IH0 S T S +PIANISTS(4) P IY1 - AH0 - N IH0 S S +PIANISTS(5) P IY0 - AE1 - N AH0 S +PIANISTS(6) P IY1 - AH0 - N IH0 S +PIANKA P IY0 - AA1 NG - K AH0 +PIANO P IY0 - AE1 - N OW0 +PIANO'S P IY0 - AE1 - N OW0 Z +PIANO'S(2) P IY0 - AE1 - N AH0 Z +PIANO(2) P IY0 - AE1 - N AH0 +PIANOS P IY0 - AE1 - N OW0 Z +PIANOS(2) P IY0 - AE1 - N AH0 Z +PIASCIK P IY1 - AH0 S - CH IH0 K +PIASECKI P IY0 - AH0 - S EH1 T S - K IY0 +PIASIO P IY0 - AE1 - S IY0 - OW0 +PIATEK P IY0 - AA1 - T EH0 K +PIATKOWSKI P IY0 - AH0 T - K AO1 F S - K IY0 +PIATT P AY1 - AH0 T +PIAZZA P IY0 - AE1 - Z AH0 +PIAZZOLLA P IY2 - AH0 - Z AA1 - L AH0 +PIC P IH1 K +PIC-A-PASTA P IH1 - K AH0 - P AA1 - S T AH0 +PICA P AY1 - K AH0 +PICANTE P IY0 - K AA1 N - T EY0 +PICARD P IH0 - K AA1 R D +PICARIELLO P IY0 - K AA0 - R IY0 - EH1 - L OW0 +PICARO P IY1 - K AA0 - R OW2 +PICAS P AY1 - K AH0 Z +PICASSO P IH0 - K AA1 - S OW0 +PICASSO'S P IH0 - K AA1 - S OW0 Z +PICASSOS P IH0 - K AA1 - S OW0 S +PICAYUNE P IH2 - K IY0 - Y UW1 N +PICAZO P IY0 - K AA1 - Z OW0 +PICCADILLY P IH1 - K AH0 - D IH2 - L IY0 +PICCHI P IH1 - K IY0 +PICCIANO P IY2 - CH IY0 - AA1 - N OW0 +PICCININI P IY0 - CH IY0 - N IY1 - N IY0 +PICCIONE P IY0 K - CH OW1 - N IY0 +PICCIRILLI P IY0 - CH IH0 - R IY1 - L IY0 +PICCIRILLO P IY0 - CH IH0 - R IH1 - L OW0 +PICCO P IH1 - K OW0 +PICCOLA P IY0 - K OW1 - L AH0 +PICCOLI P IY0 - K OW1 - L IY0 +PICCOLO P IH1 - K AH0 - L OW2 +PICCONE P IY0 - K OW1 - N IY0 +PICHA P IH1 - CH AH0 +PICHE P IH1 CH +PICHENY P AH0 - CH EY1 - N IY0 +PICHER P IH1 - CH ER0 +PICHETTE P AH0 - SH EH1 T +PICHLER P IH1 - K AH0 - L ER0 +PICHLER(2) P IH1 K - L ER0 +PICHON P IH1 - CH AH0 N +PICHT P IH1 K T +PICINICH P IH1 - S IH0 - N IH0 CH +PICK P IH1 K +PICKANDS P IH1 - K AH0 N D Z +PICKAR P IH0 - K AA1 R +PICKARD P IH0 - K AA1 R D +PICKART P IH1 - K AA2 R T +PICKED P IH1 K T +PICKEL P IH1 - K AH0 L +PICKELL P IH1 - K AH0 L +PICKELSIMER P IH1 - K IH0 L - S IH0 - M ER0 +PICKEN P IH1 - K AH0 N +PICKENS P IH1 - K AH0 N Z +PICKENS' P IH1 - K AH0 N Z +PICKENS'S P IH1 - K AH0 N - Z IH0 Z +PICKER P IH1 - K ER0 +PICKERAL P IH1 - K ER0 - AH0 L +PICKEREL P IH1 - K ER0 - AH0 L +PICKERELL P IH1 - K ER0 - AH0 L +PICKERILL P IH1 - K ER0 - IH2 L +PICKERING P IH1 - K ER0 - IH0 NG +PICKERS P IH1 - K ER0 Z +PICKERT P IH1 - K ER0 T +PICKET P IH1 - K AH0 T +PICKET(2) P IH1 - K IH0 T +PICKETED P IH1 - K AH0 - T IH0 D +PICKETER P IH1 - K AH0 - T ER0 +PICKETERS P IH1 - K AH0 - T ER0 Z +PICKETING P IH1 - K AH0 - T IH0 NG +PICKETS P IH1 - K AH0 T S +PICKETT P IH1 - K IH0 T +PICKETT'S P IH1 - K IH0 T S +PICKFORD P IH1 K - F ER0 D +PICKIER P IH1 - K IY0 - ER0 +PICKING P IH1 - K IH0 NG +PICKINGS P IH1 - K IH0 NG Z +PICKINS P IH1 - K IH0 N Z +PICKLE P IH1 - K AH0 L +PICKLED P IH1 - K AH0 L D +PICKLER P IH1 - K AH0 - L ER0 +PICKLER(2) P IH1 K - L ER0 +PICKLES P IH1 - K AH0 L Z +PICKLESIMER P IH1 - K AH0 L - S IH0 - M ER0 +PICKLING P IH1 - K L IH0 NG +PICKNEY P IH1 K - N IY0 +PICKPOCKET P IH1 K - P AA2 - K AH0 T +PICKPOCKETS P IH1 K - P AA2 - K AH0 T S +PICKREL P IH1 - K R AH0 L +PICKRELL P IH1 - K R AH0 L +PICKREN P IH1 - K ER0 - AH0 N +PICKRON P IH1 - K R AH0 N +PICKS P IH1 K S +PICKUP P IH1 - K AH2 P +PICKUPS P IH1 - K AH2 P S +PICKUS P IH1 - K AH0 S +PICKWICK P IH1 - K W IH2 K +PICKWORTH P IH1 - K W ER2 TH +PICKY P IH1 - K IY0 +PICNIC P IH1 K - N IH2 K +PICNICS P IH1 K - N IH2 K S +PICO P IY1 - K OW0 +PICON P IH1 - K AH0 N +PICONE P IH0 - K OW1 N +PICOP P IH1 - K AA2 P +PICOTTE P IH0 - K AO1 T +PICOU P IY1 - K UW0 +PICOULT P IH0 - K OW1 L T +PICOWER P IH1 - K AW2 R +PICTET P IH1 K - T IH0 T +PICTON P IH1 K - T AH0 N +PICTORIAL P IH0 K - T AO1 - R IY0 - AH0 L +PICTS P IH1 K T S +PICTURE P IH1 K - CH ER0 +PICTURE'S P IH1 K - CH ER0 Z +PICTURED P IH1 K - CH ER0 D +PICTURES P IH1 K - CH ER0 Z +PICTURES' P IH1 K - CH ER0 Z +PICTURESQUE P IH1 K - CH ER0 - AH0 S K +PICTURETEL P IH1 K - CH ER2 - T EH2 L +PICTURING P IH1 K - CH ER0 - IH0 NG +PIDCOCK P IH1 D - K AH0 K +PIDDLE P IH1 - D AH0 L +PIDDLES P IH1 - D AH0 L Z +PIDDLING P IH1 - D AH0 L - IH0 NG +PIDDLING(2) P IH1 D - L IH0 NG +PIDDOCK P IH1 - D AH0 K +PIDGEON P IH1 D - JH IH0 N +PIE P AY1 +PIEBALD P AY1 - B AO2 L D +PIECE P IY1 S +PIECED P IY1 S T +PIECEMEAL P IY1 S - M IY2 L +PIECES P IY1 - S AH0 Z +PIECES(2) P IY1 - S IH0 Z +PIECEWORK P IY1 S - W ER2 K +PIECH P IY1 CH +PIECH'S P IY1 - CH IH0 Z +PIECHOCKI P IY0 - HH OW1 T S - K IY0 +PIECHOTA P IY0 - HH OW1 - T AH0 +PIECHOWSKI P IY0 - HH AO1 F S - K IY0 +PIECING P IY1 - S IH0 NG +PIECUCH P IY1 - K AH0 K +PIECZYNSKI P IY0 - CH IH1 N - S K IY0 +PIED P AY1 D +PIEDBOEUF P IY1 D - B AH2 F +PIEDMONT P IY1 D - M AA2 N T +PIEDMONT'S P IY1 D - M AA2 N T S +PIEDRA P IY1 - D R AH0 +PIEHL P IY1 L +PIEKARSKI P IY0 - K AA1 R S - K IY0 +PIEL P IY1 L +PIELA P IY1 - L AH0 +PIENTA P IY1 N - T AH0 +PIEPER P IY1 - P ER0 +PIEPGRAS P IY1 P - G R AE2 S +PIEPHO P IY1 - F OW0 +PIER P IH1 R +PIERACCINI P IH2 - R AH0 - CH IY1 - N IY0 +PIERATT P IY1 - R AH0 T +PIERCE P IH1 R S +PIERCE'S P IH1 R - S IH0 Z +PIERCEALL P IH0 R - S IY1 L +PIERCED P IH1 R S T +PIERCEY P IH0 R - S IY1 +PIERCING P IH1 R - S IH0 NG +PIERCY P IH1 R - K IY0 +PIERETTE P IH0 - R EH1 T +PIERI P IY1 - R IY0 +PIERIE P IY0 - EH1 - R IY0 +PIERIE'S P IY0 - EH1 - R IY0 Z +PIERINI P IH0 - R IY1 - N IY0 +PIERMAN P IH1 R - M AH0 N +PIERO P IY1 - R OW0 +PIERONI P IH0 - R OW1 - N IY0 +PIEROTTI P IH0 - R OW1 - T IY0 +PIERPOINT P IH0 R - P OY1 N T +PIERPONT P IH1 R - P AA2 N T +PIERRE P IY0 - EH1 R +PIERRE'S P IY0 - EH1 R Z +PIERRELOUIS P IH1 - R IH0 L - W IY0 Z +PIERRELOUIS(2) P Y EH1 R - L W IY0 Z +PIERREPONT P IH0 - R EY1 - P OW0 N T +PIERREPONT(2) P Y EH1 R - P OW0 N T +PIERRO P IH1 - R OW0 +PIERRON P IH0 - R AO1 N +PIERS P IH1 R Z +PIERSALL P IH1 R - S AH0 L +PIERSOL P IH1 R - S AO0 L +PIERSON P IH1 R - S AH0 N +PIES P AY1 Z +PIES'S P AY1 - Z IH0 Z +PIET P AY1 - IH0 T +PIET(2) P Y EH1 T +PIET(3) P IY1 T +PIETER P IY1 - T ER0 +PIETERMARITZBURG P IY2 - T ER0 - M EH1 - R IH0 T S - B ER0 G +PIETERS P IY1 - T ER0 Z +PIETIES P AY1 - AH0 - T IY0 Z +PIETILA P IY0 - T IY1 - L AH0 +PIETISM P IY1 - T IH0 - Z AH0 M +PIETRANGELO P IY0 - T R AA0 NG - G EH1 - L OW0 +PIETRAS P IY1 - T R AH0 Z +PIETRO P IY0 - EH1 - T R OW0 +PIETROWSKI P IY0 T - R AO1 F S - K IY0 +PIETRUSKI P IY2 - EH0 - T R AH1 S - K IY0 +PIETRUSZKA P IY0 - T R AH1 SH - K AH0 +PIETRZAK P IY1 - T ER0 - Z AE0 K +PIETRZYK P IY1 - T ER0 - Z IH0 K +PIETSCH P IY1 CH +PIETTE P IY1 T +PIETY P AY1 - AH0 - T IY0 +PIETZ P IY1 T S +PIFER P AY1 - F ER0 +PIG P IH1 G +PIG'S P IH1 G Z +PIGEON P IH1 - JH AH0 N +PIGEON'S P IH1 - JH AH0 N Z +PIGEON(2) P IH1 - JH IH0 N +PIGEONHOLE P IH1 - JH AH0 N - HH OW2 L +PIGEONHOLED P IH1 - JH AH0 N - HH OW2 L D +PIGEONS P IH1 - JH AH0 N Z +PIGFORD P IH1 G - F ER0 D +PIGG P IH1 G +PIGGEE P IH1 - G IY1 +PIGGLY P IH1 G - L IY0 +PIGGOTT P IH1 - G AH0 T +PIGGY P IH1 - G IY0 +PIGGYBACK P IH1 - G IY0 - B AE2 K +PIGGYBACKED P IH1 - G IY0 - B AE2 K T +PIGGYBACKING P IH1 - G IY0 - B AE2 - K IH0 NG +PIGLET P IH1 G - L IH0 T +PIGLETS P IH1 G - L IH0 T S +PIGMAN P IH1 G - M AH0 N +PIGMENT P IH1 G - M AH0 N T +PIGMENTATION P IH2 G - M AH0 N - T EY1 - SH AH0 N +PIGMENTS P IH1 G - M AH0 N T S +PIGMIED P IH1 G - M IY0 D +PIGMY P IH1 G - M IY0 +PIGNATARO P IY0 G - N AA0 - T AA1 - R OW0 +PIGNATELLI P IY0 G - N AA0 - T EH1 - L IY0 +PIGNATO P IY0 G - N AA1 - T OW0 +PIGNONE P IY0 G - N OW1 - N IY0 +PIGOTT P IH1 - G AH0 T +PIGS P IH1 G Z +PIGSKIN P IH1 G - S K IH2 N +PIGUE P IY1 G +PIH P IH1 +PIH(2) P IY1 - AY1 - EY1 CH +PIHL P IH1 L +PIK P IH1 K +PIKE P AY1 K +PIKER P AY1 - K ER0 +PIKES P AY1 K S +PIKUL P IH1 - K AH0 L +PIKULA P IH0 - K UW1 - L AH0 +PIKUS P AY1 - K AH0 S +PIL P IH1 L +PILAND P IH1 - L AH0 N D +PILANT P IY1 - L AH0 N T +PILAR P AY1 - L ER0 +PILARSKI P IH0 - L AA1 R S - K IY0 +PILASTER P AH0 - L AE1 - S T ER0 +PILASTERS P AH0 - L AE1 - S T ER0 Z +PILAT P IY1 - L AA0 T +PILATO P IY0 - L AA1 - T OW0 +PILATUS P IY0 - L EY1 - T AH0 S +PILCH P IH1 L CH +PILCHER P IH1 L - CH ER0 +PILE P AY1 L +PILECKI P IH0 - L EH1 - K IY0 +PILED P AY1 L D +PILEGGI P IH0 - L EH1 - JH IY0 +PILES P AY1 L Z +PILEUP P AY1 - L AH2 P +PILEVSKY P IH0 - L EH1 V - S K IY0 +PILFERAGE P IH1 L - F ER0 - IH0 JH +PILFERING P IH1 L - F ER0 - IH0 NG +PILGER P IH1 L - G ER0 +PILGRAM P IH1 L - G R AH0 M +PILGREEN P IH0 L - G R IY1 N +PILGRIM P IH1 L - G R AH0 M +PILGRIM'S P IH1 L - G R AH0 M Z +PILGRIM(2) P IH1 L - G R IH0 M +PILGRIMAGE P IH1 L - G R AH0 - M AH0 JH +PILGRIMAGE(2) P IH1 L - G R AH0 - M IH0 JH +PILGRIMAGES P IH1 L - G R AH0 - M IH0 - JH IH0 Z +PILGRIMS P IH1 L - G R AH0 M Z +PILING P AY1 - L IH0 NG +PILINGS P AY1 - L IH0 NG Z +PILKENTON P IH0 L - K EH1 N - T AH0 N +PILKERTON P IH0 L - K ER1 - T AH0 N +PILKINGTON P IH1 L - K IH0 NG - T AH0 N +PILKINTON P IH1 L - K IH0 N - T AH0 N +PILL P IH1 L +PILL'S P IH1 L Z +PILLA P IH1 - L AH0 +PILLAGE P IH1 - L IH0 JH +PILLAGED P IH1 - L IH0 JH D +PILLAGER P IH1 - L IH0 - JH ER0 +PILLAGER'S P IH1 - L IH0 - JH ER0 Z +PILLAGERS P IH1 - L IH0 - JH ER0 Z +PILLAGES P IH1 - L IH0 - JH IH0 Z +PILLAGING P IH1 - L IH0 - JH IH0 NG +PILLAR P IH1 - L ER0 +PILLARD P IH1 - L ER0 D +PILLARED P IH1 - L ER0 D +PILLARS P IH1 - L ER0 Z +PILLE P IH1 L +PILLER P IH1 - L ER0 +PILLEY P IH1 - L IY0 +PILLING P IH1 - L IH0 NG +PILLION P IH1 L - Y AH0 N +PILLORIED P IH1 - L ER0 - IY0 D +PILLORY P IH1 - L ER0 - IY0 +PILLOW P IH1 - L OW0 +PILLOWS P IH1 - L OW0 Z +PILLOWTEX P IH1 - L OW0 - T EH2 K S +PILLS P IH1 L Z +PILLSBURY P IH1 L Z - B EH2 - R IY0 +PILLSBURY'S P IH1 L Z - B EH2 - R IY0 Z +PILNAK P IH1 L - N AE0 K +PILON P IY0 - L AO1 N +PILOT P AY1 - L AH0 T +PILOT'S P AY1 - L AH0 T S +PILOTED P AY1 - L AH0 - T IH0 D +PILOTING P AY1 - L AH0 - T IH0 NG +PILOTLESS P AY1 - L AH0 T - L AH0 S +PILOTS P AY1 - L AH0 T S +PILOTS' P AY1 - L AH0 T S +PILOTTE P IH0 - L AO1 T +PILSON P IH1 L - S AH0 N +PILTDOWN P IH1 L T - D AW2 N +PILTZ P IH1 L T S +PILZ P IH1 L Z +PIMA P IY1 - M AH0 +PIMCO P IH1 M - K OW0 +PIMENTAL P IH0 - M EH1 N - T AH0 L +PIMENTEL P IH1 - M IH0 N - T AH0 L +PIMM P IH1 M +PIMM'S P IH1 M Z +PIMP P IH1 M P +PIMPING P IH1 M - P IH0 NG +PIMPLAPURE P IH2 M - P L AH0 - P Y UH1 R +PIMPLE P IH1 M - P AH0 L +PIMPLES P IH1 M - P AH0 L Z +PIMPS P IH1 M P S +PIN P IH1 N +PINA P IY1 - N AH0 +PINARD P IH1 - N ER0 D +PINATUBO P IH0 - N AH0 - T UW1 - B OW0 +PINAULT P IH2 - N AO1 L T +PINBALL P IH1 N - B AO2 L +PINCAVAGE P IH1 NG - K AH0 - V IH0 JH +PINCERLIKE P IH1 N - S ER0 - L AY2 K +PINCERS P IH1 N - S ER0 Z +PINCH P IH1 N CH +PINCHED P IH1 N CH T +PINCHER P IH1 N - CH ER0 +PINCHERS P IH1 N - CH ER0 Z +PINCHING P IH1 N - CH IH0 NG +PINCKARD P IH1 NG - K ER0 D +PINCKNEY P IH1 NG K - N IY0 +PINCUS P IH1 NG - K AH0 S +PINDARIC P IH0 N - D AE1 - R IH0 K +PINDELL P IH1 N - D AH0 L +PINDER P AY1 N - D ER0 +PINDLING P IH1 N - D L IH0 NG +PINE P AY1 N +PINEAL P AY2 - N IY1 - AH0 L +PINEAPPLE P AY1 N - AE2 - P AH0 L +PINEAPPLES P AY1 N - AE2 - P AH0 L Z +PINEAU P IH0 - N OW1 +PINEDA P IY0 - N EH1 - D AH0 +PINEDO P IY0 - N EY1 - D OW0 +PINEGAR P IH1 - N IH0 - G ER0 +PINEIRO P IY0 - N EH1 - R OW0 +PINELLAS P IH0 - N EH1 - L AH0 S +PINELLI P IH0 N - EH1 - L IY0 +PINEO P IH1 - N IY0 - OW0 +PINER P AY1 - N ER0 +PINERO P IH0 - N EH1 - R OW0 +PINES P AY1 N Z +PINETTA P AH0 - N EH1 - T AH0 +PINETTA'S P AH0 - N EH1 - T AH0 Z +PINETTE P IH0 - N EH1 T +PING P IH1 NG +PINGEL P IH1 NG - G AH0 L +PINGITORE P IH0 NG - G IY0 - T AO1 - R IY0 +PINGLETON P IH1 NG - G AH0 L - T AA0 N +PINGLEY P IH1 NG - G L IY0 +PINGPONG P IH1 NG - P AO0 NG +PINGREE P IH0 NG - G R IY1 +PINHEIRO P IY0 N - HH EH1 - R OW0 +PINHO P IH1 N - HH OW0 +PINHOLE P IH1 N - HH OW2 L +PINHOLES P IH1 N - HH OW2 L Z +PINI P IY1 - N IY0 +PINING P AY1 - N IH0 NG +PINION P IH1 - N Y AH0 N +PINK P IH1 NG K +PINKARD P IH1 NG - K ER0 D +PINKELMAN P IH1 NG - K AH0 L - M AH0 N +PINKER P IH1 NG - K ER0 +PINKERMAN P IH1 NG - K ER0 - M AH0 N +PINKERTON P IH1 NG - K ER0 - T AH0 N +PINKERTON'S P IH1 NG - K ER0 - T AH0 N Z +PINKEST P IH1 NG - K IH0 S T +PINKETT P IH1 NG - K IH0 T +PINKHAM P IH1 NG K - HH AH0 M +PINKIE P IH1 NG - K IY0 +PINKISH P IH1 NG - K IH0 SH +PINKLEY P IH1 NG - K L IY0 +PINKNEY P IH1 NG K - N IY0 +PINKOS P IH1 NG - K OW0 Z +PINKOWSKI P IH0 NG - K AO1 F S - K IY0 +PINKS P IH1 NG K S +PINKSTAFF P IH1 NG K - S T AE2 F +PINKSTON P IH1 NG K - S T AH0 N +PINKUS P IH1 NG - K AH0 S +PINKWATER P IH1 NG - K W AO2 - T ER0 +PINKWATER'S P IH1 NG - K W AO2 - T ER0 Z +PINKY P IH1 NG - K IY0 +PINN P IH1 N +PINNACLE P IH1 - N AH0 - K AH0 L +PINNACLE'S P IH1 - N IH0 - K AH0 L Z +PINNED P IH1 N D +PINNELL P IH1 - N AH0 L +PINNEO P IH1 - N IY0 - OW0 +PINNER P IH1 - N ER0 +PINNEY P IH1 - N IY0 +PINNICK P IH1 - N IH0 K +PINNING P IH1 - N IH0 NG +PINNIX P IH1 - N IH0 K S +PINNOCK P IH1 - N AH0 K +PINNOW P IH1 - N OW0 +PINO P IY1 - N OW0 +PINO'S P IY1 - N OW0 Z +PINOCCHIO P IH0 - N OW1 - K IY0 - OW0 +PINOCHET P IH2 - N AH0 - SH EY1 +PINOCHET'S P IH2 - N AH0 - SH EY1 Z +PINOCHET'S(2) P IY2 - N AO0 - CH EH1 T S +PINOCHET'S(3) P IY2 - N OW0 - SH EY1 Z +PINOCHET(2) P IY2 - N AO0 - CH EH1 T +PINOCHET(3) P IY2 - N OW0 - SH EY1 +PINOLA P IH0 - N OW1 - L AH0 +PINOT P IH1 - N AH0 T +PINPOINT P IH1 N - P OY2 N T +PINPOINTED P IH1 N - P OY2 N - T IH0 D +PINPOINTING P IH1 N - P OY2 N - T IH0 NG +PINPOINTS P IH1 N - P OY2 N T S +PINPRICK P IH1 N - P R IH0 K +PINQUATER P IH1 N - K W AA2 - T ER0 +PINS P IH1 N Z +PINSKER P IH1 N - S K ER0 +PINSKY P IH1 N - S K IY0 +PINSON P IH1 N - S AH0 N +PINSONEAULT P IH1 N - S AH0 - N AO2 L T +PINSONEAULT(2) P IH2 N - S AH0 - N OW1 +PINSTRIPE P IH1 N - S T R AY2 P +PINSTRIPED P IH1 N - S T R AY2 P T +PINSTRIPES P IH1 N - S T R AY2 P S +PINT P AY1 N T +PINT-SIZE P AY1 N T - S AY1 Z +PINT-SIZED P AY1 N T - S AY1 Z D +PINTA P IH1 N - T AH0 +PINTAR P IY0 N - T AA1 R +PINTER P AY1 N - T ER0 +PINTO P IH1 N - T OW2 +PINTS P AY1 N T S +PINY P AY1 - N IY0 +PINYAN P IH1 - N Y AH0 N +PINZON P IH2 N - Z AO1 N +PIO P AY1 - OW0 +PION P AY1 - AA2 N +PIONEER P AY2 - AH0 - N IH1 R +PIONEER'S P AY2 - AH0 - N IH1 R Z +PIONEERED P AY2 - AH0 - N IH1 R D +PIONEERING P AY2 - AH0 - N IH1 - R IH0 NG +PIONEERS P AY2 - AH0 - N IH1 R Z +PIONTEK P IY0 - OW1 N - T EH0 K +PIONTKOWSKI P IY0 - OW0 N T - K AO1 F S - K IY0 +PIORKOWSKI P IY0 - AO0 R - K AO1 F S - K IY0 +PIOTROWSKI P IY0 - OW0 - T R AO1 F S - K IY0 +PIOTTER P IY0 - AA1 - T ER0 +PIOUS P AY1 - AH0 S +PIOUSLY P AY1 - AH0 S - L IY0 +PIP P IH1 P +PIPE P AY1 P +PIPED P AY1 P T +PIPEFISH P AY1 P - F IH2 SH +PIPEFISHES P AY1 P - F IH2 - SH IH0 Z +PIPELINE P AY1 P - L AY2 N +PIPELINE'S P AY1 P - L AY2 N Z +PIPELINES P AY1 P - L AY2 N Z +PIPELINES' P AY1 P - L AY2 N Z +PIPER P AY1 - P ER0 +PIPERS P AY1 - P ER0 Z +PIPES P AY1 P S +PIPETEC P AY1 P - T EH2 K +PIPETTE P AY2 - P EH1 T +PIPETTER P AY2 - P EH1 - T ER0 +PIPETTERS P AY2 - P EH1 - T ER0 Z +PIPETTES P AY2 - P EH1 T S +PIPHER P IH1 - F ER0 +PIPING P AY1 - P IH0 NG +PIPITONE P IH1 - P IH0 - T OW2 N +PIPKIN P IH1 P - K IH0 N +PIPKINS P IH1 P - K IH0 N Z +PIPP P IH1 P +PIPPEN P IH1 - P AH0 N +PIPPENGER P IH1 - P IH0 N - JH ER0 +PIPPERT P IH1 - P ER0 T +PIPPIN P IH1 - P IH0 N +PIPPINS P IH1 - P IH0 N Z +PIPS P IH1 P S +PIQUANT P IY1 - K AH0 N T +PIQUE P IY1 K +PIQUED P IY1 K T +PIQUETTE P IH0 - K EH1 T +PIRACY P AY1 - R AH0 - S IY0 +PIRAINO P IH0 - R EY1 - N OW0 +PIRANDELLO P IH2 - R AH0 N - D EH1 - L OW0 +PIRANHA P IH0 - R AE1 N HH - AH0 +PIRATE P AY1 - R AH0 T +PIRATE'S P AY1 - R AH0 T S +PIRATED P AY1 - R AH0 - T IH0 D +PIRATES P AY1 - R AH0 T S +PIRATING P AY1 - R AH0 - T IH0 NG +PIRELLI P IH0 - R EH1 - L IY0 +PIRELLI'S P IH0 - R EH1 - L IY0 Z +PIRES P AY1 R Z +PIRESTANI P IH2 - R EH0 - S T AA1 - N IY0 +PIRIE P IH1 - R IY0 +PIRKEY P ER1 - K IY0 +PIRKL P ER1 - K AH0 L +PIRKLE P ER1 - K AH0 L +PIRKO P ER1 - K OW0 +PIRO P IH1 - R OW0 +PIROG P ER0 - AA1 G +PIRONE P IH0 - R OW1 N +PIROUETTE P IH2 - R UW0 - EH1 +PIROUETTES P IH2 - R UW0 - EH1 T S +PIROZZI P IH0 - R AA1 - Z IY0 +PIRRELLO P IH0 - R EH1 - L OW0 +PIRRO P IH1 - R OW0 +PIRRONE P IH0 - R OW1 - N IY0 +PIRTLE P ER1 - T AH0 L +PISA P IY1 - S AH0 +PISANI P IY0 - S AA1 - N IY0 +PISANO P IY0 - S AA1 - N OW0 +PISAREK P IH1 - S ER0 - EH0 K +PISARSKI P IH0 - S AA1 R S - K IY0 +PISCA P IH1 S - K AH0 +PISCATAWAY P IH0 S - K AE1 T - AH0 - W EY2 +PISCES P AY1 - S IY0 Z +PISCHEL P IH1 - SH AH0 L +PISCHKE P IH1 SH K +PISCIOTTA P IY0 S - CH OW1 - T AH0 +PISCITELLI P IY0 S - CH IY0 - T EH1 - L IY0 +PISCITELLO P IH2 - S IH0 - T EH1 - L OW0 +PISCOPO P IY0 S - K OW1 - P OW0 +PISELLO P IH0 - S EH1 - L OW0 +PISONI P IH0 - S OW1 - N IY0 +PISS P IH1 S +PISSED P IH1 S T +PISTACHIO P AH0 - S T AE1 - SH IY0 - OW2 +PISTACHIOS P AH0 - S T AE1 - SH IY0 - OW2 Z +PISTIL P IH1 - S T AH0 L +PISTILLI P IY0 S - T IY1 - L IY0 +PISTOL P IH1 - S T AH0 L +PISTOLE P IH0 - S T OW1 L +PISTOLE(2) P IH0 - S T OW1 - L EY0 +PISTOLS P IH1 - S T AH0 L Z +PISTON P IH1 - S T AH0 N +PISTONE P IY1 S - T OW0 N +PISTONS P IH1 - S T AH0 N Z +PISTOR P IH1 - S T ER0 +PISTORIO P IH2 - S T AO1 - R IY0 - OW0 +PIT P IH1 T +PITA P IY1 - T AH0 +PITBLADO P IH0 T - B L AA1 - D OW0 +PITCH P IH1 CH +PITCHBLENDE P IH1 CH - B L EH2 N D +PITCHED P IH1 CH T +PITCHER P IH1 - CH ER0 +PITCHERS P IH1 - CH ER0 Z +PITCHES P IH1 - CH IH0 Z +PITCHFORD P IH1 CH - F ER0 D +PITCHFORK P IH1 CH - F AO2 R K +PITCHFORKS P IH1 CH - F AO2 R K S +PITCHING P IH1 - CH IH0 NG +PITCHMAN P IH1 CH - M AH0 N +PITCHMEN P IH1 CH - M EH1 N +PITCOCK P IH1 T - K AA2 K +PITFALL P IH1 T - F AO2 L +PITFALLS P IH1 T - F AO2 L Z +PITH P IH1 TH +PITHY P IH1 - TH IY0 +PITIABLE P IH1 - T IY0 - AH0 - B AH0 L +PITIED P IH1 - T IY2 D +PITIFUL P IH1 - T AH0 - F AH0 L +PITIFULLY P IH1 - T IH0 - F AH0 - L IY0 +PITIFULLY(2) P IH1 - T IH0 F - L IY0 +PITILESS P IH1 - T IY0 - L AH0 S +PITINO P AH0 - T IY1 - N OW0 +PITKIN P IH1 T - K IH0 N +PITMAN P IH1 T - M AH0 N +PITNER P IH1 T - N ER0 +PITNEY P IH1 T - N IY0 +PITOFSKY P AH0 - T AA1 F S - K IY0 +PITRE P AY1 - T ER0 +PITS P IH1 T S +PITSCH P IH1 CH +PITSENBARGER P IH1 T - S IH0 N - B AA0 R - G ER0 +PITSTICK P IH1 T - S T IH2 K +PITT P IH1 T +PITT'S P IH1 T S +PITTANCE P IH1 - T AH0 N S +PITTARD P IH1 - T ER0 D +PITTED P IH1 - T AH0 D +PITTED(2) P IH1 - T IH0 D +PITTENCRIEFF P IH1 - T IH0 N - K R IY2 F +PITTENGER P IH1 - T IH0 N - JH ER0 +PITTING P IH1 - T IH0 NG +PITTINGER P IH1 - T IH0 - NG ER0 +PITTLE P IH1 - T AH0 L +PITTMAN P IH1 T - M AH0 N +PITTNER P IH1 T - N ER0 +PITTS P IH1 T S +PITTS'S P IH1 T - S IH0 Z +PITTSBORO P IH1 T S - B ER0 - OW0 +PITTSBURG P IH1 T S - B ER0 G +PITTSBURGH P IH1 T S - B ER0 G +PITTSBURGH'S P IH1 T S - B ER0 G Z +PITTSBURGHER P IH1 T S - B ER0 - G ER0 +PITTSBURGHERS P IH1 T S - B ER0 - G ER0 Z +PITTSFIELD P IH1 T S - F IY0 L D +PITTSFORD P IH1 T S - F ER0 D +PITTSLEY P IH1 T S - L IY0 +PITTSTON P IH1 T - S T AH0 N +PITUITARY P AH0 - T UW1 - AH0 - T EH2 - R IY0 +PITUITARY(2) P IH0 - T UW1 - IH0 - T EH2 - R IY0 +PITY P IH1 - T IY0 +PITYING P IH1 - T IY0 - IH0 NG +PITZ P IH1 T S +PITZEN P IH1 T - Z AH0 N +PITZER P IH1 T - Z ER0 +PIUS P AY1 - AH0 S +PIVER P AY1 - V ER0 +PIVONKA P IH0 - V AA1 NG - K AH0 +PIVOT P IH1 - V AH0 T +PIVOTAL P IH1 - V AH0 - T AH0 L +PIVOTED P IH1 - V AH0 - T AH0 D +PIVOTED(2) P IH1 - V AH0 - T IH0 D +PIX P IH1 K S +PIXAR P IH1 K - S AA0 R +PIXEL P IH1 K - S AH0 L +PIXELS P IH1 K - S AH0 L Z +PIXIE P IH1 K - S IY0 +PIXLER P IH1 K S - L ER0 +PIXLEY P IH1 K S - L IY0 +PIZANA P IY0 - Z AE1 - N AH0 +PIZANO P IY0 - Z AA1 - N OW0 +PIZARRO P IH0 - Z AA1 - R OW0 +PIZAZZ P IH0 - Z AE1 Z +PIZER P AY1 - Z ER0 +PIZZA P IY1 T - S AH0 +PIZZA'S P IY1 T - S AH0 Z +PIZZANO P IY0 T - S AA1 - N OW0 +PIZZAS P IY1 T - S AH0 Z +PIZZAZZ P IH2 - Z AE1 Z +PIZZERIA P IY2 T - S ER0 - IY1 - AH0 +PIZZERIAS P IY2 T - S ER0 - IY1 - AH0 Z +PIZZI P IH1 - Z IY0 +PIZZIMENTI P IY0 T - S IY0 - M EH1 N - T IY0 +PIZZINO P IY0 T - S IY1 - N OW0 +PIZZITOLA P IY0 T - S IY0 - T OW1 - L AH0 +PIZZO P IH1 - Z OW0 +PIZZOLATO P IY0 T - S OW0 - L AA1 - T OW0 +PIZZUTI P IY0 T - S UW1 - T IY0 +PIZZUTO P IY0 T - S UW1 - T OW0 +PJ'S P IY1 - JH EY2 Z +PLA P L AA1 +PLACARD P L AE1 - K ER0 D +PLACARDS P L AE1 - K ER0 D Z +PLACATE P L EY1 - K EY0 T +PLACATING P L EY1 - K EY2 - T IH0 NG +PLACE P L EY1 S +PLACE'S P L EY1 - S IH0 Z +PLACEBO P L AH0 - S IY1 - B OW0 +PLACEBOS P L AH0 - S IY1 - B OW0 Z +PLACED P L EY1 S T +PLACEK P L AA1 - CH EH2 K +PLACEMENT P L EY1 S - M AH0 N T +PLACEMENTS P L EY1 S - M AH0 N T S +PLACENCIA P L AA0 - CH EH1 N - CH AH0 +PLACENTA P L AH0 - S EH1 N - T AH0 +PLACENTIA P L AH0 - S EH1 N - SH AH0 +PLACER P L AE1 - S ER0 +PLACER(2) P L EY1 - S ER0 +PLACES P L EY1 - S AH0 Z +PLACES(2) P L EY1 - S IH0 Z +PLACEWAY P L EY1 S - W EY2 +PLACID P L AE1 - S AH0 D +PLACID'S P L AE1 - S IH0 D Z +PLACID(2) P L AE1 - S IH0 D +PLACIDA P L AA0 - CH IY1 - D AH0 +PLACIDLY P L AE1 - S IH0 D - L IY0 +PLACIDO P L AA1 - CH IH0 - D OW0 +PLACIDO(2) P L AH0 - S IY1 - D OW0 +PLACING P L EY1 - S IH0 NG +PLACK P L AE1 K +PLACK'S P L AE1 K S +PLACKE P L AE1 K +PLACKO P L AE1 - K OW0 +PLACOID P L AE1 - K OY0 D +PLACZEK P L AA1 - CH EH0 K +PLAGENS P L AE1 - G AH0 N Z +PLAGGE P L AE1 G +PLAGIARISM P L EY1 - JH ER0 - IH2 - Z AH0 M +PLAGIARIZE P L EY1 - JH ER0 - AY2 Z +PLAGIARIZED P L EY1 - JH ER0 - AY2 Z D +PLAGIOCLASE P L EY1 - JH IY0 - AH0 - K L EY2 S +PLAGUE P L EY1 G +PLAGUED P L EY1 G D +PLAGUES P L EY1 G Z +PLAGUING P L EY1 - G IH0 NG +PLAIA P L AA1 - Y AH0 +PLAID P L AE1 D +PLAIN P L EY1 N +PLAINCLOTHES P L EY1 N - K L OW1 Z +PLAINER P L EY1 - N ER0 +PLAINES P L EY1 N Z +PLAINFIELD P L EY1 N - F IY2 L D +PLAINLY P L EY1 N - L IY0 +PLAINO P L EY1 - N OW0 +PLAINS P L EY1 N Z +PLAINSONG P L EY1 N - S AO2 NG +PLAINTIFF P L EY1 N - T AH0 F +PLAINTIFF'S P L EY1 N - T IH0 F S +PLAINTIFF'S(2) P L EY1 - N IH0 F S +PLAINTIFF(2) P L EY1 - N AH0 F +PLAINTIFFS P L EY1 N - T IH0 F S +PLAINTIFFS' P L EY1 N - T IH0 F S +PLAINTIFFS'(2) P L EY1 - N IH0 F S +PLAINTIFFS(2) P L EY1 - N IH0 F S +PLAINTIVE P L EY1 N - T IH0 V +PLAINTIVE(2) P L EY1 - N IH0 V +PLAINTIVELY P L EY1 N - T AY2 V - L IY0 +PLAINTIVELY(2) P L EY1 - N AY2 V - L IY0 +PLAINVIEW P L EY1 N - V Y UW2 +PLAIR P L EH1 R +PLAISANCE P L EY1 - S AH0 N S +PLAISTED P L AA1 - IH0 - S T IH0 D +PLAISTED(2) P L EY1 - S T IH0 D +PLAKE P L EY1 K +PLAM P L AE1 M +PLAMANN P L AA1 - M AH0 N +PLAMBECK P L AE1 M - B EH2 K +PLAMONDON P L AA0 - M OW0 N - D AO1 N +PLAN P L AE1 N +PLAN'S P L AE1 N Z +PLANAR P L EY1 - N ER0 +PLANARIAN P L AH0 - N EH1 - R IY0 - AH0 N +PLANAS P L AE1 - N AH0 Z +PLANCK P L AE1 NG K +PLANE P L EY1 N +PLANE'S P L EY1 N Z +PLANECON P L AE1 - N AH0 - K AA2 N +PLANECON(2) P L AE1 N - K AA2 N +PLANED P L EY1 N D +PLANELOAD P L EY1 N - L OW2 D +PLANELOADS P L EY1 N - L OW2 D Z +PLANER P L EY1 - N ER0 +PLANERS P L EY1 - N ER0 Z +PLANES P L EY1 N Z +PLANES' P L EY1 N Z +PLANET P L AE1 - N AH0 T +PLANET'S P L AE1 - N AH0 T S +PLANETARIUM P L AE2 - N AH0 - T EH1 - R IY0 - AH0 M +PLANETARY P L AE1 - N AH0 - T EH2 - R IY0 +PLANETS P L AE1 - N AH0 T S +PLANITZER P L AE1 - N IH0 T - S ER0 +PLANK P L AE1 NG K +PLANKING P L AE1 NG - K IH0 NG +PLANKS P L AE1 NG K S +PLANKTON P L AE1 NG K - T AH0 N +PLANKTONIC P L AE0 NG K - T AA1 - N IH0 K +PLANNED P L AE1 N D +PLANNER P L AE1 - N ER0 +PLANNER'S P L AE1 - N ER0 Z +PLANNERS P L AE1 - N ER0 Z +PLANNERS' P L AE1 - N ER0 Z +PLANNING P L AE1 - N IH0 NG +PLANO P L EY1 - N OW0 +PLANS P L AE1 N Z +PLANS' P L AE1 N Z +PLANT P L AE1 N T +PLANT'S P L AE1 N T S +PLANTAIN P L AE1 N - T AH0 N +PLANTAINS P L AE1 N - T AH0 N Z +PLANTATION P L AE2 N - T EY1 - SH AH0 N +PLANTATIONS P L AE2 N - T EY1 - SH AH0 N Z +PLANTE P L AE1 N T +PLANTED P L AE1 N - T AH0 D +PLANTED(2) P L AE1 N - T IH0 D +PLANTED(3) P L AE1 - N AH0 D +PLANTED(4) P L AE1 - N IH0 D +PLANTER P L AE1 N - T ER0 +PLANTERS P L AE1 N - T ER0 Z +PLANTIFFS P L AE1 N - T IH0 F S +PLANTING P L AE1 N - T IH0 NG +PLANTINGS P L AE1 N - T IH0 NG Z +PLANTLIKE P L AE1 N T - L AY2 K +PLANTRONIC P L AE2 N - T R AA1 - N IH0 K +PLANTRONICS P L AE2 N - T R AA1 - N IH0 K S +PLANTS P L AE1 N T S +PLANTS' P L AE1 N T S +PLANTZ P L AE1 N T S +PLAQUE P L AE1 K +PLAQUES P L AE1 K S +PLAS P L AE1 S +PLASCENCIA P L AA0 S - CH EH1 N - CH AH0 +PLASENCIA P L AA0 - S EH1 N - CH AH0 +PLASKETT P L AE1 - S K IH0 T +PLASMA P L AE1 Z - M AH0 +PLASMINOGEN P L AE2 Z - M IH1 - N AH0 - JH IH0 N +PLASMODIA P L AE0 Z - M OW1 - D IY0 - AH0 +PLASMODIUM P L AE0 Z - M OW1 - D IY0 - AH0 M +PLASS P L AE1 S +PLASSARD P L AE1 - S ER0 D +PLASSE P L AE1 S +PLASTER P L AE1 - S T ER0 +PLASTERBOARD P L AE1 - S T ER0 - B AO2 R D +PLASTERED P L AE1 - S T ER0 D +PLASTERER P L AE1 - S T ER0 - ER0 +PLASTERING P L AE1 - S T ER0 - IH0 NG +PLASTERS P L AE1 - S T ER0 Z +PLASTERWORK P L AE1 - S T ER0 - W ER2 K +PLASTIC P L AE1 - S T IH0 K +PLASTICINE P L AE1 - S T IH0 - S IY2 N +PLASTICIZER P L AE1 - S T AH0 - S AY2 - Z ER0 +PLASTICS P L AE1 - S T IH0 K S +PLATA P L AA1 - T AH0 +PLATE P L EY1 T +PLATEAU P L AE0 - T OW1 +PLATEAUED P L AE0 - T OW1 D +PLATEAUING P L AH0 - T OW1 - IH0 NG +PLATED P L EY1 - T AH0 D +PLATED(2) P L EY1 - T IH0 D +PLATEK P L AA1 - T EH0 K +PLATELET P L EY1 T - L AH0 T +PLATELETS P L EY1 T - L AH0 T S +PLATELIKE P L EY1 T - L AY2 K +PLATEN P L AE1 - T AH0 N +PLATER P L EY1 - T ER0 +PLATES P L EY1 T S +PLATFORM P L AE1 T - F AO2 R M +PLATFORM'S P L AE1 T - F AO2 R M Z +PLATFORMS P L AE1 T - F AO2 R M Z +PLATH P L AE1 TH +PLATING P L EY1 - T IH0 NG +PLATINUM P L AE1 T - N AH0 M +PLATINUM'S P L AE1 - T AH0 - N AH0 M Z +PLATINUM'S(2) P L AE1 T - N AH0 M Z +PLATINUM(2) P L AE1 - T AH0 - N AH0 M +PLATITUDE P L AE1 - T IH0 - T UW2 D +PLATITUDES P L AE1 - T IH0 - T UW2 D Z +PLATNER P L AE1 T - N ER0 +PLATO P L EY1 - T OW0 +PLATO'S P L EY1 - T OW0 Z +PLATONA P L AA0 - T OW1 - N AH0 +PLATONIC P L AH0 - T AA1 - N IH0 K +PLATONIST P L EY1 - T AH0 - N AH0 S T +PLATONISTS P L EY1 - T AH0 - N AH0 S T S +PLATONISTS(2) P L EY1 - T AH0 - N AH0 S S +PLATONISTS(3) P L EY1 - T AH0 - N AH0 S +PLATOON P L AH0 - T UW1 N +PLATOONS P L AH0 - T UW1 N Z +PLATT P L AE1 T +PLATTE P L AE1 T +PLATTEN P L AE1 - T AH0 N +PLATTER P L AE1 - T ER0 +PLATTERS P L AE1 - T ER0 Z +PLATTNER P L AE1 T - N ER0 +PLATTS P L AE1 T S +PLATY P L EY1 - T IY0 +PLATYPUS P L AE1 - T AH0 - P UH2 S +PLATZ P L AE1 T S +PLATZER P L EY1 T - Z ER0 +PLAUCHE P L AO1 CH +PLAUDIT P L AO1 - D IH0 T +PLAUDITS P L AO1 - D IH0 T S +PLAUGHER P L AO1 - ER0 +PLAUSIBILITY P L AO2 - Z IH0 - B IH1 - L IH0 - T IY0 +PLAUSIBLE P L AO1 - Z AH0 - B AH0 L +PLAUSIBLY P L AO1 - Z AH0 - B L IY0 +PLAUT P L AO1 T +PLAUTZ P L AO1 T S +PLAX P L AE1 K S +PLAY P L EY1 +PLAY'S P L EY1 Z +PLAYA P L AY1 - AH0 +PLAYBACK P L EY1 - B AE2 K +PLAYBOOK P L EY1 - B UH0 K +PLAYBOY P L EY1 - B OY2 +PLAYBOY'S P L EY1 - B OY2 Z +PLAYCOUNT P L EY1 - K AW2 N T +PLAYED P L EY1 D +PLAYER P L EY1 - ER0 +PLAYER'S P L EY1 - ER0 Z +PLAYERS P L EY1 - ER0 Z +PLAYERS' P L EY1 - ER0 Z +PLAYFORD P L EY1 - F ER0 D +PLAYFUL P L EY1 - F AH0 L +PLAYFULLY P L EY1 - F AH0 - L IY0 +PLAYFULNESS P L EY1 - F AH0 L - N AH0 S +PLAYGROUND P L EY1 - G R AW2 N D +PLAYGROUND(2) P L EY1 - G R AW2 N +PLAYGROUNDS P L EY1 - G R AW2 N D Z +PLAYGROUNDS(2) P L EY1 - G R AW2 N Z +PLAYHOUSE P L EY1 - HH AW2 S +PLAYIN' P L EY1 - IH0 N +PLAYING P L EY1 - IH0 NG +PLAYMATE P L EY1 - M EY2 T +PLAYMATES P L EY1 - M EY2 T S +PLAYOFF P L EY1 - AO2 F +PLAYOFFS P L EY1 - AO2 F S +PLAYPEN P L EY1 - P EH2 N +PLAYROOM P L EY1 - R UW2 M +PLAYS P L EY1 Z +PLAYSTATION P L EY1 - S T EY2 - SH AH0 N +PLAYTEX P L EY1 - T EH2 K S +PLAYTHING P L EY1 - TH IH2 NG +PLAYTHINGS P L EY1 - TH IH2 NG Z +PLAYWRIGHT P L EY1 - R AY2 T +PLAYWRIGHT'S P L EY1 - R AY2 T S +PLAYWRIGHTS P L EY1 - R AY2 T S +PLAZA P L AA1 - Z AH0 +PLAZA'S P L AA1 - Z AH0 Z +PLAZA'S(2) P L AE1 - Z AH0 Z +PLAZA(2) P L AE1 - Z AH0 +PLAZAS P L AA1 - Z AH0 Z +PLAZAS(2) P L AE1 - Z AH0 Z +PLAZIC P L EY1 - Z IH0 K +PLEA P L IY1 +PLEAD P L IY1 D +PLEADED P L IY1 - D AH0 D +PLEADED(2) P L IY1 - D IH0 D +PLEADING P L IY1 - D IH0 NG +PLEADINGS P L IY1 - D IH0 NG Z +PLEADS P L IY1 D Z +PLEAS P L IY1 Z +PLEASANT P L EH1 - Z AH0 N T +PLEASANTLY P L EH1 - Z AH0 N T - L IY0 +PLEASANTON P L EH1 - Z AH0 N - T AH0 N +PLEASANTRIES P L EH1 - Z AH0 N - T R IY0 Z +PLEASANTRY P L EH1 - Z AH0 N - T R IY0 +PLEASANTS P L EH1 - Z AH0 N T S +PLEASANTVILLE P L EH1 - Z AH0 N T - V IH2 L +PLEASE P L IY1 Z +PLEASED P L IY1 Z D +PLEASER P L IY1 - Z ER0 +PLEASES P L IY1 - Z IH0 Z +PLEASING P L IY1 - Z IH0 NG +PLEASINGLY P L IY1 - Z IH0 NG - L IY0 +PLEASURABLE P L EH1 - ZH ER0 - AH0 - B AH0 L +PLEASURAMA P L EH2 - ZH UH0 - R AE1 - M AH0 +PLEASURE P L EH1 - ZH ER0 +PLEASURES P L EH1 - ZH ER0 Z +PLEAT P L IY1 T +PLEATS P L IY1 T S +PLEBEIAN P L AH0 - B IY1 - AH0 N +PLEBEIANS P L AH0 - B IY1 - AH0 N Z +PLEBISCITE P L EH1 - B AH0 - S AY2 T +PLEBISCITE(2) P L IY1 - B IH0 - S AY2 T +PLED P L EH1 D +PLEDGE P L EH1 JH +PLEDGED P L EH1 JH D +PLEDGER P L EH1 - JH ER0 +PLEDGES P L EH1 - JH IH0 Z +PLEDGING P L EH1 - JH IH0 NG +PLEIAD P L IY1 - AH0 D +PLEIADES P L IY1 - AH0 - D IY2 Z +PLEIADS P L IY1 - AH0 D Z +PLEIN P L IY1 N +PLEISTOCENE P L AY1 - S T AH0 - S IY2 N +PLEMMONS P L EH1 - M AH0 N Z +PLEMONS P L EH1 - M AH0 N Z +PLENARY P L EH1 - N ER0 - IY0 +PLENARY(2) P L IY1 - N ER0 - IY0 +PLENMEER P L EH0 N - M IH1 R +PLENTIFUL P L EH1 N - T AH0 - F AH0 L +PLENTIFUL(2) P L EH1 N - T IH0 - F AH0 L +PLENTIFUL(3) P L EH1 - N AH0 - F AH0 L +PLENTIFUL(4) P L EH1 - N IH0 - F AH0 L +PLENTY P L EH1 N - T IY0 +PLENTY(2) P L EH1 - N IY0 +PLENUM P L EH1 - N AH0 M +PLENUM'S P L EH1 - N AH0 M Z +PLESCIA P L EY1 - S IY0 - AH0 +PLESE P L IY1 Z +PLESHAR P L EH1 - SH AA2 R +PLESKOW P L EH1 S - K AW0 +PLESS P L EH1 S +PLESSEY P L EH1 - S IY0 +PLESSEY'S P L EH1 - S IY0 Z +PLESSINGER P L EH1 - S IH0 - NG ER0 +PLESSIS P L EH1 - S IH0 S +PLESSY P L EH1 - S IY0 +PLETCHER P L EH1 - CH ER0 +PLETHORA P L EH1 - TH ER0 - AH0 +PLETHORA(2) P L AH0 - TH AO1 - R AH0 +PLETSCHER P L EH1 - CH ER0 +PLETT P L EH1 T +PLETZ P L EH1 T S +PLEURISY P L UH1 - R AH0 - S IY0 +PLEVA P L EY1 - V AH0 +PLEW P L UW1 +PLEWA P L UW1 - AH0 +PLEX P L EH1 K S +PLEXIGLAS P L EH1 K - S IH0 - G L AE2 S +PLEXIGLAS(2) P L EH1 K - S IY0 - G L AE2 S +PLEXIGLASS P L EH1 K - S IH0 - G L AE2 S +PLEXIGLASS(2) P L EH1 K - S IY0 - G L AE2 S +PLEXUS P L EH1 K - S AH0 S +PLIABLE P L AY1 - AH0 - B AH0 L +PLIANT P L AY1 - AH0 N T +PLICHTA P L IH1 CH - T AH0 +PLIED P L AY1 D +PLIER P L AY1 - ER0 +PLIERS P L AY1 - ER0 Z +PLIES P L AY1 Z +PLIGHT P L AY1 T +PLILER P L AY1 - L ER0 +PLIMPTON P L IH1 M P - T AH0 N +PLINIUS P L IH1 - N IY0 - AH0 S +PLINK P L IH1 NG K +PLINKING P L IH1 NG - K IH0 NG +PLINTH P L IH1 N TH +PLINY P L IH1 - N IY0 +PLIOCENE P L AY1 - AH0 - S IY2 N +PLISETSKAYA P L IH2 - S AH0 T - S K AY1 - AH0 +PLISKA P L IH1 - S K AH0 +PLITT P L IH1 T +PLOCAR P L OW1 - K AA0 R +PLOCEK P L OW1 - CH EH2 K +PLOCH P L AA1 K +PLOCHER P L AA1 - K ER0 +PLOCK P L AA1 K +PLOD P L AA1 D +PLODDED P L AA1 - D AH0 D +PLODDED(2) P L AA1 - D IH0 D +PLODDING P L AA1 - D IH0 NG +PLOEGER P L OW1 - G ER0 +PLOETZ P L OW1 T S +PLOG P L AA1 G +PLOHN P L OW1 N +PLONKA P L OW1 NG - K AH0 +PLONSKI P L AA1 N - S K IY0 +PLOOF P L UW1 F +PLOP P L AA1 P +PLOPPED P L AA1 P T +PLOSS P L AO1 S +PLOT P L AA1 T +PLOTKIN P L AA1 T - K IH0 N +PLOTNER P L AA1 T - N ER0 +PLOTNICK P L AA1 T - N IH0 K +PLOTS P L AA1 T S +PLOTT P L AA1 T +PLOTTED P L AA1 - T AH0 D +PLOTTED(2) P L AA1 - T IH0 D +PLOTTER P L AA1 - T ER0 +PLOTTERS P L AA1 - T ER0 Z +PLOTTING P L AA1 - T IH0 NG +PLOTTS P L AA1 T S +PLOTZ P L AA1 T S +PLOUFF P L OW1 F +PLOUFFE P L OW1 F +PLOUGH P L AW1 +PLOUGH(2) P L OW1 +PLOUGHED P L AW1 D +PLOURDE P L AO1 R D +PLOVERS P L AH1 - V ER0 Z +PLOW P L AW1 +PLOWDEN P L AW1 - D AH0 N +PLOWED P L AW1 D +PLOWING P L AW1 - IH0 NG +PLOWMAN P L AW1 - M AH0 N +PLOWMAN'S P L AW1 - M AH0 N Z +PLOWRIGHT P L AW1 - R AY2 T +PLOWS P L AW1 Z +PLOWSHARE P L AW1 - SH EY2 R +PLOWSHARES P L AW1 - SH EY2 R Z +PLOY P L OY1 +PLOYS P L OY1 Z +PLUCINSKI P L AH0 - CH IH1 N - S K IY0 +PLUCK P L AH1 K +PLUCK'S P L AH1 K S +PLUCKED P L AH1 K T +PLUCKER P L AH1 - K ER0 +PLUCKING P L AH1 - K IH0 NG +PLUCKS P L AH1 K S +PLUCKY P L AH1 - K IY0 +PLUDE P L UW1 D +PLUE P L UW1 +PLUFF P L AH1 F +PLUG P L AH1 G +PLUGGED P L AH1 G D +PLUGGING P L AH1 - G IH0 NG +PLUGS P L AH1 G Z +PLUM P L AH1 M +PLUM'S P L AH1 M Z +PLUMAGE P L UW1 - M AH0 JH +PLUMAGE(2) P L UW1 - M IH0 JH +PLUMAGES P L UW1 - M AH0 - JH AH0 Z +PLUMAGES(2) P L UW1 - M IH0 - JH IH0 Z +PLUMB P L AH1 M +PLUMBED P L AH1 M D +PLUMBER P L AH1 - M ER0 +PLUMBERS P L AH1 - M ER0 Z +PLUMBING P L AH1 - M IH0 NG +PLUME P L UW1 M +PLUMER P L UW1 - M ER0 +PLUMERI P L UW2 - M EH1 - R IY0 +PLUMES P L UW1 M Z +PLUMLEE P L AH1 M - L IY2 +PLUMLEY P L AH1 M - L IY0 +PLUMMER P L AH1 - M ER0 +PLUMMET P L AH1 - M AH0 T +PLUMMETED P L AH1 - M AH0 - T IH0 D +PLUMMETING P L AH1 - M AH0 - T IH0 NG +PLUMMETS P L AH1 - M AH0 T S +PLUMP P L AH1 M P +PLUMPED P L AH1 M P T +PLUMS P L AH1 M Z +PLUNDER P L AH1 N - D ER0 +PLUNDERED P L AH1 N - D ER0 D +PLUNDERING P L AH1 N - D ER0 - IH0 NG +PLUNGE P L AH1 N JH +PLUNGED P L AH1 N JH D +PLUNGER P L AH1 N - JH ER0 +PLUNGER'S P L AH1 N - JH ER0 Z +PLUNGES P L AH1 N - JH IH0 Z +PLUNGING P L AH1 N - JH IH0 NG +PLUNK P L AH1 NG K +PLUNKED P L AH1 NG K T +PLUNKER P L AH1 NG - K ER0 +PLUNKERS P L AH1 NG - K ER0 Z +PLUNKETT P L AH1 NG - K IH0 T +PLUNKING P L AH1 NG - K IH0 NG +PLUNKITT P L AH1 NG - K IH0 T +PLURAL P L UH1 - R AH0 L +PLURALISM P L UH1 - R AH0 - L IH2 - Z AH0 M +PLURALISTIC P L UH2 - R AH0 - L IH1 - S T IH0 K +PLURALITY P L ER0 - AE1 - L IH0 - T IY0 +PLURIBUS P L UH1 - R IH0 - B AH0 S +PLUS P L AH1 S +PLUS'S P L AH1 - S IH0 Z +PLUSES P L AH1 - S IH0 Z +PLUSH P L AH1 SH +PLUTA P L UW1 - T AH0 +PLUTH P L UW1 TH +PLUTO P L UW1 - T OW0 +PLUTO'S P L UW1 - T OW0 Z +PLUTOCRAT P L UW1 - T AH0 - K R AE2 T +PLUTOCRATS P L UW1 - T AH0 - K R AE2 T S +PLUTONIAN P L UW0 - T OW1 - N IY0 - AH0 N +PLUTONIC P L UW0 - T AA1 - N IH0 K +PLUTONIUM P L UW0 - T OW1 - N IY0 - AH0 M +PLUVIAL P L UW1 - V IY0 - AH0 L +PLY P L AY1 +PLYBON P L IH1 - B AH0 N +PLYING P L AY1 - IH0 NG +PLYLER P L AY1 - L ER0 +PLYMALE P L AY1 - M EY2 L +PLYMOUTH P L IH1 - M AH0 TH +PLYMOUTH'S P L IH1 - M AH0 TH S +PLYMPTON P L IH1 M P - T AH0 N +PLYWOOD P L AY1 - W UH2 D +PM P IY1 - EH1 M +PNEUMATIC N UW0 - M AE1 - T IH0 K +PNEUMATICS N UH0 - M AE1 - T IH0 K S +PNEUMO N UW1 - M OW0 +PNEUMOCYSTIS N UW0 - M OW1 - S IH0 - S T IH0 S +PNEUMONIA N UW0 - M OW1 - N Y AH0 +PNEUMONIA(2) N AH0 - M OW1 - N Y AH0 +PNEUMONIC N UW0 - M AA1 - N IH0 K +PO P OW1 +PO-JEN P OW1 - JH EH1 N +POACH P OW1 CH +POACHED P OW1 CH T +POACHER P OW1 - CH ER0 +POACHERS P OW1 - CH ER0 Z +POACHING P OW1 - CH IH0 NG +POAG P OW1 G +POAGE P OW1 - IH0 JH +POARCH P AO1 R HH +POBANZ P OW1 - B AA0 N Z +POBLA P OW1 - B L AH0 +POBLANO P OW0 - B L AA1 - N OW0 +POBST P AA1 B S T +POCAHONTAS P OW2 - K AH0 - HH AA1 N - T AH0 S +POCAHONTAS(2) P OW2 - K AH0 - HH AA1 - N AH0 S +POCH P AA1 K +POCHE P AA1 CH +POCHILUK P AH0 - CH IY1 - L UW0 K +POCIASK P AH0 - CH IY1 - AH0 S K +POCIUS P OW1 - S IY0 - IH0 S +POCK P AA1 K +POCKED P AA1 K T +POCKET P AA1 - K AH0 T +POCKETBOOK P AA1 - K AH0 T - B UH2 K +POCKETBOOKS P AA1 - K AH0 T - B UH2 K S +POCKETED P AA1 - K AH0 - T IH0 D +POCKETFUL P AA1 - K AH0 T - F UH2 L +POCKETING P AA1 - K AH0 - T IH0 NG +POCKETS P AA1 - K AH0 T S +POCKLINGTON P AA1 K - L IH0 NG - T AH0 N +POCKMARK P AA1 K - M AA2 R K +POCKMARKED P AA1 K - M AA2 R K T +POCKS P AA1 K S +POCLAIN P AA1 K - L IH0 N +POCO P OW1 - K OW0 +POCOCK P AA1 - K AH0 K +POCONO P OW1 - K AH0 - N OW2 +POCONOS P OW1 - K AH0 - N OW0 Z +POCUS P OW1 - K AH0 S +POD P AA1 D +POD'S P AA1 D Z +PODANY P AH0 - D AO1 - N IY0 +PODELL P OW0 - D EY1 L +PODESTA P OW0 - D EH1 - S T AH0 +PODGE P AA1 JH +PODGORSKI P AA0 - JH AO1 R S - K IY0 +PODGURSKI P AA0 - JH ER1 S - K IY0 +PODHORETZ P AA1 D - HH ER0 - EH0 T S +PODHORETZ(2) P AA1 D - HH AO0 - R EH0 T S +PODIATRIST P AH0 - D AY1 - AH0 - T R IH2 S T +PODIUM P OW1 - D IY0 - AH0 M +PODIUMS P OW1 - D IY0 - AH0 M Z +PODLESKA P AA2 D - L EH1 - S K AH0 +PODNAR P AA1 D - N AA2 R +PODOLAK P AH0 - D OW1 - L AH0 K +PODOLL P AA1 - D AH0 L +PODOLSKI P AH0 - D OW1 L - S K IY0 +PODOLSKY P AH0 - D OW1 L - S K IY0 +PODRASKY P AH0 - D R AE1 S - K IY0 +PODRAZA P OW0 - D R AA1 - Z AH0 +PODS P AA1 D Z +PODUNK P OW1 - T AH0 NG K +PODUSKA P OW0 - D AH1 - S K AH0 +POE P OW1 +POE'S P OW1 Z +POEHL P OW1 L +POEHL'S P OW1 L Z +POEHL'S(2) P AO1 L Z +POEHLER P OW1 - L ER0 +POEHLMAN P OW1 L - M AH0 N +POEL P OW1 - AH0 L +POELMAN P OW1 L - M AH0 N +POEM P OW1 - AH0 M +POEMS P OW1 - AH0 M Z +POER P OW1 - ER0 +POESCHEL P OW1 - SH AH0 L +POESCHL P OW1 S - K AH0 L +POET P OW1 - AH0 T +POET'S P OW1 - AH0 T S +POETIC P OW0 - EH1 - T IH0 K +POETICALLY P OW0 - EH1 - T IH0 K - L IY0 +POETRY P OW1 - AH0 - T R IY0 +POETS P OW1 - AH0 T S +POFAHL P AA1 - F AA0 L +POFF P AO1 F +POFFENBARGER P AA1 - F IH0 N - B AA0 R - G ER0 +POFFENBERGER P AO1 - F AH0 N - B ER0 - G ER0 +POG P AA1 G +POGGI P AA1 - JH IY0 +POGGIOLI P OW2 - JH OW1 - L IY0 +POGO P OW1 - G OW2 +POGORZELSKI P AH0 - G ER0 - Z EH1 L - S K IY0 +POGROM P AH0 - G R AA1 M +POGROM(2) P OW1 - G R AH0 M +POGROMS P AH0 - G R AA1 M Z +POGROMS(2) P OW1 - G R AH0 M Z +POGS P AA1 G Z +POGUE P OW1 G +POH P OW1 +POHANG P OW1 - HH AE0 NG +POHJOLA P OW2 - JH OW1 - L AH0 +POHL P OW1 L +POHL'S P OW1 L Z +POHLAD P OW1 - L AE0 D +POHLE P OW1 - HH AH0 L +POHLMAN P OW1 L - M AH0 N +POHLMANN P OW1 L - M AH0 N +POHNPEI P OW1 N - P EY2 +POIGNANCY P OY1 - N Y AH0 N - S IY0 +POIGNANT P OY1 - N Y AH0 N T +POIGNANTLY P OY1 - N Y AH0 N T - L IY0 +POINDEXTER P OY1 N - D EH2 K - S T ER0 +POINDEXTER'S P OY1 N - D EH2 K - S T ER0 Z +POINOT P OY1 - N AA2 T +POINSETT P OY1 N - S IH0 T +POINSETTIA P OY0 N - S EH1 - T IY0 - AH0 +POINSETTIA(2) P OY0 N - S EH1 - T AH0 +POINSETTIAS P OY0 N - S EH1 - T IY0 - AH0 Z +POINSETTIAS(2) P OY0 N - S EH1 - T AH0 Z +POINT P OY1 N T +POINT'S P OY1 N T S +POINTE P OY1 N T +POINTED P OY1 N - T AH0 D +POINTED(2) P OY1 - N AH0 D +POINTED(3) P OY1 N - T IH0 D +POINTEDLY P OY1 N - T IH0 D - L IY0 +POINTEDLY(2) P OY1 - N AH0 D - L IY0 +POINTER P OY1 N - T ER0 +POINTERS P OY1 N - T ER0 Z +POINTING P OY1 N - T IH0 NG +POINTLESS P OY1 N T - L AH0 S +POINTS P OY1 N T S +POINTY P OY1 N - T IY0 +POIRIER P OY1 - R IY0 - ER0 +POIRRIER P OY1 - R IY0 - ER0 +POISE P OY1 Z +POISED P OY1 Z D +POISON P OY1 - Z AH0 N +POISONED P OY1 - Z AH0 N D +POISONING P OY1 - Z AH0 N - IH0 NG +POISONINGS P OY1 - Z AH0 N - IH0 NG Z +POISONOUS P OY1 - Z AH0 - N AH0 S +POISONS P OY1 - Z AH0 N Z +POISSANT P OY0 Z - S AO1 N T +POISSON P OY1 Z - S AH0 N +POITIER P OY1 - T Y ER0 +POITIER(2) P W AA1 - T Y EY2 +POITRA P OY1 - T R AH0 +POITRAS P OY0 - T R AA1 Z +POKAZUKHA P AA2 - K AH0 - Z UW1 K - HH AH0 +POKE P OW1 K +POKED P OW1 K T +POKER P OW1 - K ER0 +POKES P OW1 K S +POKEWEED P OW1 K - W IY2 D +POKEY P OW1 - K IY0 +POKING P OW1 - K IH0 NG +POKORNEY P AA1 - K ER0 - N IY0 +POKORNY P AH0 - K AO1 R - N IY0 +POKORSKI P AH0 - K AO1 R S - K IY0 +POKY P OW1 - K IY0 +POL P AO1 L +POLACEK P AA1 - L AH0 - CH EH0 K +POLACHEK P AA1 - L AH0 - K IH0 K +POLACK P OW1 - L AE0 K +POLAK P OW1 - L AH0 K +POLAKOFF P AA1 - L AH0 - K AO0 F +POLAKOWSKI P AH0 - L AH0 - K AO1 F S - K IY0 +POLAN P OW1 - L AH0 N +POLANCO P OW0 - L AA1 N - K OW0 +POLAND P OW1 - L AH0 N D +POLAND'S P OW1 - L AH0 N D Z +POLANSKI P AH0 - L AE1 N S - K IY0 +POLANSKY P AH0 - L AE1 N S - K IY0 +POLAR P OW1 - L ER0 +POLARIMETER P OW2 - L ER0 - IH1 - M AH0 - T ER0 +POLARIS P OW0 - L EH1 - R AH0 S +POLARISCOPE P OW0 - L EH1 - R AH0 - S K OW2 P +POLARITY P OW0 - L EH1 - R AH0 - T IY0 +POLARIZATION P OW2 - L ER0 - AH0 - Z EY1 - SH AH0 N +POLARIZATION(2) P OW2 - L ER0 - IH0 - Z EY1 - SH AH0 N +POLARIZE P OW1 - L ER0 - AY2 Z +POLARIZED P OW1 - L ER0 - AY2 Z D +POLARIZER P OW1 - L ER0 - AY2 - Z ER0 +POLARIZES P OW1 - L ER0 - AY2 - Z IH0 Z +POLARIZING P OW1 - L ER0 - AY2 - Z IH0 NG +POLAROGRAPHY P OW2 - L ER0 - AA1 - G R AH0 - F IY0 +POLAROID P OW1 - L ER0 - OY2 D +POLAROID'S P OW1 - L ER0 - OY2 D Z +POLAROIDS P OW1 - L ER0 - OY2 D Z +POLASEK P AH0 - L AA1 - S EH0 K +POLASKI P AH0 - L AA1 S - K IY0 +POLASKY P AH0 - L AA1 S - K IY0 +POLCE P OW1 L S +POLCYN P OW1 L - S IH0 N +POLDER P OW1 L - D ER0 +POLE P OW1 L +POLECAT P OW1 L - K AE2 T +POLECATS P OW1 L - K AE2 T S +POLEK P OW1 - L EH0 K +POLEMIC P AH0 - L EH1 - M IH0 K +POLEMICAL P AH0 - L EH1 - M AH0 - K AH0 L +POLEMICIST P AH0 - L EH1 - M AH0 - S AH0 S T +POLEMICS P OW0 - L EH1 - M IH0 K S +POLEN P OW1 - L AH0 N +POLES P OW1 L Z +POLETTI P OW0 - L EH1 - T IY0 +POLEVANOV P AH0 - L EH1 - V AH0 - N AA0 V +POLEVOI P OW1 - L AH0 - V OY2 +POLEWARD P OW1 L - W ER0 D +POLEY P OW1 - L IY0 +POLGAR P OW1 L - G ER0 +POLHAMUS P OW1 L - HH AH0 - M IH0 S +POLHEMUS P OW1 L - HH IH0 - M AH0 S +POLHILL P OW1 L - HH IH2 L +POLI P OW1 - L IY0 +POLI(2) P OW1 - L AY0 +POLICASTRO P OW0 - L IY0 - K AE1 - S T R OW0 +POLICE P AH0 - L IY1 S +POLICE'S P AH0 - L IY1 - S IH0 Z +POLICED P AH0 - L IY1 S T +POLICEMAN P AH0 - L IY1 S - M AH0 N +POLICEMAN'S P AH0 - L IY1 S - M AH0 N Z +POLICEMEN P AH0 - L IY1 S - M IH0 N +POLICES P AH0 - L IY1 - S IH0 Z +POLICEWOMAN P AH0 - L IY1 S - W UH2 - M AH0 N +POLICEWOMEN P AH0 - L IY1 S - W IH2 - M EH0 N +POLICH P AA1 - L IH0 K +POLICIES P AA1 - L AH0 - S IY0 Z +POLICING P AH0 - L IY1 - S IH0 NG +POLICY P AA1 - L AH0 - S IY0 +POLICY'S P AA1 - L AH0 - S IY0 Z +POLICYHOLDER P AA1 - L AH0 - S IY0 - HH OW2 L - D ER0 +POLICYHOLDER'S P AA1 - L AH0 - S IY0 - HH OW2 L - D ER0 Z +POLICYHOLDERS P AA1 - L AH0 - S IY0 - HH OW2 L - D ER0 Z +POLICYHOLDERS' P AA1 - L AH0 - S IY0 - HH OW2 L - D ER0 Z +POLICYMAKER P AA1 - L AH0 - S IY0 - M EY2 - K ER0 +POLICYMAKERS P AA1 - L AH0 - S IY0 - M EY2 - K ER0 Z +POLICYMAKING P AA1 - L AH0 - S IY0 - M EY2 - K IH0 NG +POLIDORI P OW0 - L IY0 - D AO1 - R IY0 +POLIDORO P OW0 - L IY0 - D AO1 - R OW0 +POLIFRONI P AA0 - L AH0 - F R OW1 - N IY0 +POLIMENI P OW0 - L IY0 - M EH1 - N IY0 +POLIN P OW1 - L IH0 N +POLING P OW1 - L IH0 NG +POLINO P OW0 - L IY1 - N OW0 +POLINSKI P AH0 - L IH1 N - S K IY0 +POLINSKY P AH0 - L IH1 N - S K IY0 +POLIO P OW1 - L IY0 - OW2 +POLIQUIN P OW0 - L IY0 - K W IY1 N +POLIS P OW1 - L AH0 S +POLIS(2) P OW1 - L AY0 Z +POLISARIO P OW2 - L IH0 - S EH1 - R IY0 - OW0 +POLISH P AA1 - L IH0 SH +POLISH(2) P OW1 - L IH0 SH +POLISHED P AA1 - L IH0 SH T +POLISHING P AA1 - L IH0 - SH IH0 NG +POLITANO P OW0 - L IY0 - T AA1 - N OW0 +POLITBURO P AA1 - L AH0 T - B Y UH2 - R OW0 +POLITBURO'S P AA1 - L AH0 T - B Y UH2 - R OW0 Z +POLITE P AH0 - L AY1 T +POLITELY P AH0 - L AY1 T - L IY0 +POLITENESS P AH0 - L AY1 T - N AH0 S +POLITES P AH0 - L AY1 T S +POLITI P OW0 - L IY1 - T IY0 +POLITIC P AA1 - L AH0 - T IH2 K +POLITICAL P AH0 - L IH1 - T AH0 - K AH0 L +POLITICAL(2) P AH0 - L IH1 - T IH0 - K AH0 L +POLITICALLY P AH0 - L IH1 - T IH0 - K AH0 - L IY0 +POLITICALLY(2) P L IH1 - T IH0 K - L IY0 +POLITICIAN P AA2 - L AH0 - T IH1 - SH AH0 N +POLITICIAN'S P AA2 - L AH0 - T IH1 - SH AH0 N Z +POLITICIANS P AA2 - L AH0 - T IH1 - SH AH0 N Z +POLITICIANS' P AA2 - L AH0 - T IH1 - SH AH0 N Z +POLITICIZATION P AH0 - L IH2 - T AH0 - S AH0 - Z EY1 - SH AH0 N +POLITICIZE P AH0 - L IH1 - T IH0 - S AY2 Z +POLITICIZED P AH0 - L IH1 - T IH0 - S AY2 Z D +POLITICIZING P AH0 - L IH1 - T IH0 - S AY2 - Z IH0 NG +POLITICKING P AA1 - L AH0 - T IH2 - K IH0 NG +POLITICO P AH0 - L IH1 - T IH0 - K OW2 +POLITICOS P AH0 - L IH1 - T IH0 - K OW2 Z +POLITICS P AA1 - L AH0 - T IH2 K S +POLITICS' P AA1 - L AH0 - T IH2 K S +POLITIS P AA1 - L AY0 - T IH0 S +POLITO P OW0 - L IY1 - T OW0 +POLITTE P AH0 - L IH1 T +POLITY P AA1 - L AH0 - T IY0 +POLITZ P AA1 - L IH0 T S +POLIVKA P OW0 - L IY1 V - K AH0 +POLIZZI P OW0 - L IY1 T - S IY0 +POLJE P OW1 L - JH IY0 +POLK P OW1 K +POLK'S P OW1 K S +POLK'S(2) P OW1 L K S +POLK(2) P OW1 L K +POLKA P OW1 L - K AH0 +POLKA(2) P OW1 - K AH0 +POLKAS P OW1 L - K AH0 Z +POLKAS(2) P OW1 - K AH0 Z +POLKINGHORN P OW1 L - K IH0 NG - HH AO2 R N +POLL P OW1 L +POLL'S P OW1 L Z +POLLACK P AA1 - L AH0 K +POLLACK'S P AA1 - L AH0 K S +POLLAK P AA1 - L AH0 K +POLLAN P AA1 - L AH0 N +POLLAND P AA1 - L AH0 N D +POLLARD P AA1 - L ER0 D +POLLARD'S P AA1 - L ER0 D Z +POLLED P OW1 L D +POLLEN P AA1 - L AH0 N +POLLENS P AA1 - L AH0 N Z +POLLET P AA1 - L IH0 T +POLLETT P AA1 - L IH0 T +POLLEY P AA1 - L IY0 +POLLICK P AA1 - L IH0 K +POLLINA P OW0 - L IY1 - N AH0 +POLLINATE P AA1 - L AH0 - N EY2 T +POLLINATED P AA1 - L IH0 - N EY2 - T IH0 D +POLLINATES P AA1 - L AH0 - N EY2 T S +POLLINATION P AA2 - L AH0 - N EY1 - SH AH0 N +POLLING P OW1 - L IH0 NG +POLLINGER P OW1 - L IH0 - NG ER0 +POLLINI P AH0 - L IY1 - N IY0 +POLLINIA P AA0 - L IH1 - N IY0 - AH0 +POLLINO P OW0 - L IY1 - N OW0 +POLLIO P AA1 - L IY0 - OW0 +POLLITT P AA1 - L IH0 T +POLLMAN P OW1 L - M AH0 N +POLLNER P OW1 L - N ER0 +POLLO P AA1 - L OW0 +POLLOCK P AA1 - L AH0 K +POLLOI P AA2 - L OY1 +POLLOK P AA1 - L AH0 K +POLLS P OW1 L Z +POLLSTER P OW1 L - S T ER0 +POLLSTERS P OW1 L - S T ER0 Z +POLLUTANT P AH0 - L UW1 - T AH0 N T +POLLUTANTS P AH0 - L UW1 - T AH0 N T S +POLLUTE P AH0 - L UW1 T +POLLUTED P AH0 - L UW1 - T AH0 D +POLLUTED(2) P AH0 - L UW1 - T IH0 D +POLLUTER P AH0 - L UW1 - T ER0 +POLLUTERS P AH0 - L UW1 - T ER0 Z +POLLUTES P AH0 - L UW1 T S +POLLUTING P AH0 - L UW1 - T IH0 NG +POLLUTION P AH0 - L UW1 - SH AH0 N +POLLUX P AA1 - L AH0 K S +POLLY P AA1 - L IY0 +POLLY'S P AA1 - L IY0 Z +POLLYANNA P AA2 - L IY0 - AE1 - N AH0 +POLO P OW1 - L OW0 +POLO'S P OW1 - L OW0 Z +POLONAISE P AA2 - L AH0 - N EY1 Z +POLONIUM P AH0 - L OW1 - N IY0 - AH0 M +POLONSKY P AH0 - L AA1 N - S K IY0 +POLS P OW1 L Z +POLSBY P OW1 L Z - B IY0 +POLSINELLI P OW0 L - S IY0 - N EH1 - L IY0 +POLSKIN P AA1 L - S K IH0 N +POLSKIN(2) P OW1 L - S K IH0 N +POLSKY P OW1 L - S K IY0 +POLSON P OW1 L - S AH0 N +POLSTER P OW1 L - S T ER0 +POLSTON P OW1 L - S T AH0 N +POLTERGEIST P OW1 L - T ER0 - G AY2 S T +POLTERGEISTS P OW1 L - T ER0 - G AY2 S T S +POLTERGEISTS(2) P OW1 L - T ER0 - G AY2 S S +POLTERGEISTS(3) P OW1 L - T ER0 - G AY2 S +POLTRACK P OW1 L - T R AE2 K +POLUS P OW1 - L AH0 S +POLY P AA1 - L IY0 +POLY'S P AA1 - L IY0 Z +POLYACETYLENE P AA2 - L IY0 - AH0 - S EH1 - T AH0 - L IY2 N +POLYAK P AA1 - L IY0 - AE0 K +POLYAMIDE P AA2 - L IY0 - AE1 - M AY2 D +POLYANDROUS P AA2 - L IY0 - AE1 N - D R AH0 S +POLYANDRY P AA2 - L IY0 - AE1 N - D R IY0 +POLYBUTYLENE P AA2 - L IY0 - B Y UW1 - T AH0 - L IY2 N +POLYCARPIC P AA2 - L IH0 - K AA1 R - P IH0 K +POLYCARPIC(2) P AA2 - L IY0 - K AA1 R - P IH0 K +POLYCAST P AA1 - L IY0 - K AE2 S T +POLYCHLORINATE P AA2 - L IY0 - K L AO1 - R IH0 - N EY2 T +POLYCHLORINATED P AA2 - L IY0 - K L AO1 - R IH0 - N EY2 - T IH0 D +POLYCHROME P AA1 - L IH0 - K R OW2 M +POLYCHROME(2) P AA1 - L IY0 - K R OW2 M +POLYCONOMICS P AA2 - L IH0 - K AH0 - N AA1 - M IH0 K S +POLYESTER P AA2 - L IY0 - EH1 - S T ER0 +POLYESTERS P AA1 - L IY0 - EH2 - S T ER0 Z +POLYETHYLENE P AA2 - L IY0 - EH1 - TH AH0 - L IY2 N +POLYGAMOUS P AH0 - L IH1 - G AH0 - M AH0 S +POLYGAMY P AH0 - L IH1 - G AH0 - M IY0 +POLYGLOT P AA1 - L IY0 - G L AA0 T +POLYGON P AA1 - L IH0 - G AA2 N +POLYGON(2) P AA1 - L IY0 - G AA2 N +POLYGONAL P AH0 - L IH1 - G AH0 - N AH0 L +POLYGRAM P AA1 - L IY0 - G R AE2 M +POLYGRAM'S P AA1 - L IH0 - G R AE2 M Z +POLYGRAPH P AA1 - L IH0 - G R AE2 F +POLYGRAPHS P AA1 - L IY0 - G R AE2 F S +POLYGYNOUS P AH0 - L IH1 - JH AH0 - N AH0 S +POLYGYNY P AH0 - L IH1 - JH AH0 - N IY0 +POLYHEDRON P AA2 - L IH0 - HH IY1 - D R AH0 N +POLYHEDRON(2) P AA2 - L IY0 - HH IY1 - D R AH0 N +POLYHEDRONS P AA2 - L IH0 - HH IY1 - D R AH0 N Z +POLYHEDRONS(2) P AA2 - L IY0 - HH IY1 - D R AH0 N Z +POLYHEMOGLOBIN P AA2 - L IH0 - HH AH0 - M AA1 - G L AH0 - B IH0 N +POLYHEMOGLOBIN(2) P AA2 - L IY0 - HH AH0 - M AA1 - G L AH0 - B IH0 N +POLYMARKER P AA2 - L IY0 - M AA1 R - K ER0 +POLYMARKERS P AA2 - L IY0 - M AA1 R - K ER0 Z +POLYMER P AA1 - L AH0 - M ER0 +POLYMERASE P AA1 - L IH0 - M ER0 - EY2 S +POLYMERIZE P AA1 - L IH0 - M ER0 - AY2 Z +POLYMERIZED P AA1 - L IH0 - M ER0 - AY2 Z D +POLYMERIZES P AA1 - L IH0 - M ER0 - AY2 - Z AH0 Z +POLYMERS P AA1 - L IH0 - M ER0 Z +POLYMORPH P AA1 - L IY0 - M AO2 R F +POLYMORPHIC P AA2 - L IY0 - M AO1 R - F IH0 K +POLYMORPHISM P AA2 - L IY0 - M AO1 R - F IH0 - Z AH0 M +POLYMORPHISM(2) P AA2 - L IY0 - M AO1 R - F IH0 Z M +POLYNESIA P AA2 - L IH0 - N IY1 - ZH AH0 +POLYNESIAN P AA2 - L IH0 - N IY1 - ZH AH0 N +POLYNOMIAL P AA2 - L IH0 - N OW1 - M IY0 - AH0 L +POLYP P AA1 - L AH0 P +POLYPHASE P AA1 - L IH0 - F EY2 Z +POLYPHONIC P AA2 - L IH0 - F AA1 - N IH0 K +POLYPHONY P AH0 - L IH1 - F AH0 - N IY0 +POLYPROPYLENE P AA2 - L IY0 - P R OW1 - P AH0 - L IY2 N +POLYPS P AA1 - L IH0 P S +POLYSACCHARIDE P AA2 - L IH0 - S AE1 - K ER0 - AY2 D +POLYSACCHARIDE(2) P AA2 - L IY0 - S AE1 - K ER0 - AY2 D +POLYSACCHARIDES P AA2 - L IH0 - S AE1 - K ER0 - AY2 D Z +POLYSACCHARIDES(2) P AA2 - L IY0 - S AE1 - K ER0 - AY2 D Z +POLYSAR P AA1 - L IH0 - S AA0 R +POLYSAR'S P AA1 - L IH0 - S AA0 R Z +POLYSILICON P AA2 - L IY0 - S IH1 - L IH0 - K AA2 N +POLYSTYRENE P AA2 - L IH0 - S T AY1 - R IY2 N +POLYSTYRENE(2) P AA2 - L IY0 - S T AY1 - R IY2 N +POLYTECH P AA2 - L IH0 - T EH1 K +POLYTECH(2) P AA2 - L IY0 - T EH1 K +POLYTECHNIC P AA2 - L IH0 - T EH1 K - N IH0 K +POLYTECHNIC(2) P AA2 - L IY0 - T EH1 K - N IH0 K +POLYTECHNOLOGIES P AA2 - L IY0 - T EH0 K - N AA1 - L AH0 - JH IY0 Z +POLYTECHNOLOGY P AA2 - L IY0 - T EH0 K - N AA1 - L AH0 - JH IY0 +POLYTHEISM P AA1 - L IH0 - TH IY0 - IH0 - Z AH0 M +POLYTHEISTIC P AA2 - L IH0 - TH IY0 - IH1 - S T IH0 K +POLYURETHANE P AA2 - L IY0 - UH1 - R AH0 - TH EY2 N +POLYVINYL P AA2 - L IY0 - V AY1 - N AH0 L +POLZER P OW1 L - Z ER0 +POLZIN P OW1 L - Z IH0 N +POM P AO1 M +POMA P OW1 - M AH0 +POMBO P AA1 M - B OW0 +POMERANCE P AA1 - M ER0 - AE1 N S +POMERANIA P AA2 - M ER0 - EY1 - N IY0 - AH0 +POMERANIAN P AA2 - M ER0 - EY1 - N IY0 - AH0 N +POMERANTZ P AA1 - M ER0 - AE2 N T S +POMERANZ P AA1 - M ER0 - AE1 N S +POMERLEAU P AA1 - M ER0 - L OW0 +POMEROY P AA1 - M ER0 - OY2 +POMICINO P OW2 - M IH0 - S IY1 - N OW0 +POMMEL P AA1 - M AH0 L +POMMER P AA1 - M ER0 +POMMIER P AA1 - M IY0 - ER0 +POMODORO P AA2 - M AH0 - D AO1 - R OW0 +POMOLOGY P OW0 - M AA1 - L AH0 - JH IY0 +POMONA P OW0 - M OW1 - N AH0 +POMP P AA1 M P +POMPA P AA1 M - P AH0 +POMPADUR P AA1 M - P AH0 - D ER0 +POMPANO P AA1 M - P AH0 - N OW2 +POMPEO P OW1 M - P IY0 - OW0 +POMPER P AA1 M - P ER0 +POMPEY P AA1 M - P IY0 +POMPIDOU P AA1 M - P IH0 - D UW2 +POMPILIO P OW0 M - P IY1 - L IY0 - OW0 +POMPLUN P AA1 M - P L AH0 N +POMPON P AA1 M - P AA2 N +POMPONIO P OW0 M - P OW1 - N IY0 - OW0 +POMPONS P AA1 M - P AA2 N Z +POMPOSITY P AA2 M - P AA1 - S IH0 - T IY0 +POMPOUS P AA1 M - P AH0 S +POMPOUSNESS P AA1 M - P AH0 S - N AH0 S +POMRENZE P AA1 M - R AH0 N Z +POMROY P AA1 M - R OY2 +PON P AA1 N +PONCE P OW1 N - S EY0 +PONCE(2) P AA1 N S +PONCET P AA1 N - S AH0 T +PONCHAN P AA1 N - CH AH0 N +PONCHO P AA1 N - CH OW0 +PONCHOS P AA1 N - CH OW0 Z +POND P AA1 N D +POND'S P AA1 N D Z +PONDER P AA1 N - D ER0 +PONDERED P AA1 N - D ER0 D +PONDERING P AA1 N - D ER0 - IH0 NG +PONDEROSA P AA2 N - D ER0 - OW1 - S AH0 +PONDEROSA'S P AA2 N - D ER0 - OW1 - S AH0 Z +PONDEROUS P AA1 N - D ER0 - AH0 S +PONDERS P AA1 N - D ER0 Z +PONDS P AA1 N D Z +PONG P AO1 NG +PONGRATZ P AA1 NG - G R AH0 T S +PONIATOWSKI P AH0 - N IY0 - AH0 - T AO1 F S - K IY0 +PONIED P OW1 - N IY0 D +PONIES P OW1 - N IY0 Z +PONS P AA1 N Z +PONSOLLE P AA1 N - S OW0 L +PONT P AA1 N T +PONT'S P AA1 N T S +PONTARELLI P OW0 N - T AA0 - R EH1 - L IY0 +PONTBRIAND P AA1 N T - B R IY0 - AH0 N D +PONTE P AA1 N T +PONTES P OW1 N - T EH0 S +PONTI P AA1 N - T IY0 +PONTIAC P AA1 N - T IY0 - AE2 K +PONTIAC'S P AA1 N - T IY0 - AE2 K S +PONTIAC'S(2) P AA1 - N IY0 - AE2 K S +PONTIAC(2) P AA1 - N IY0 - AE2 K +PONTIACS P AA1 N - T IY0 - AE2 K S +PONTIACS(2) P AA1 - N IY0 - AE2 K S +PONTIFF P AA1 N - T AH0 F +PONTIFF'S P AA1 N - T AH0 F S +PONTIFF(2) P AA1 N - T IH0 F +PONTIFICAL P AA0 N - T IH1 - F AH0 - K AH0 L +PONTIFICATE P AA0 N - T IH1 - F AH0 - K EY2 T +PONTIFICATED P AA0 N - T IH1 - F AH0 - K EY2 - T IH0 D +PONTIFICATER P AA0 N - T IH1 - F AH0 - K EY2 - T ER0 +PONTIFICATERS P AA0 N - T IH1 - F AH0 - K EY2 - T ER0 Z +PONTIFICATES P AA0 N - T IH1 - F AH0 - K EY2 T S +PONTIFICATING P AA0 N - T IH1 - F AH0 - K EY2 - T IH0 NG +PONTIFICATION P AA0 N - T IH2 - F AH0 - K EY1 - SH AH0 N +PONTIFICATIONS P AA0 N - T IH2 - F AH0 - K EY1 - SH AH0 N Z +PONTIKES P AA2 N - T IY1 - K EH2 Z +PONTILLO P OW0 N - T IH1 - L OW0 +PONTIOUS P OW1 N - SH IH0 S +PONTIUS P AA1 N - T IY0 - IH0 S +PONTO P AA1 N - T OW0 +PONTON P AA1 N - T AH0 N +PONTOON P AA0 N - T UW1 N +PONTOONS P AA2 N - T UW1 N Z +PONTS P AA1 N T S +PONY P OW1 - N IY0 +PONYTAIL P OW1 - N IY0 - T EY2 L +PONZETTI P AA0 N - Z EH1 - T IY0 +PONZI P AA1 N - Z IY0 +PONZIO P AA1 N - Z IY0 - OW0 +PONZO P AA1 N - Z OW0 +POO P UW1 +POOCH P UW1 CH +POOCHES P UW1 - CH IH0 Z +POODLE P UW1 - D AH0 L +POODLES P UW1 - D AH0 L Z +POOF P UW1 F +POOH P UW1 +POOHED P UW1 D +POOL P UW1 L +POOL'S P UW1 L Z +POOL-SIDE P UW1 L - S AY1 D +POOLE P UW1 L +POOLED P UW1 L D +POOLER P UW1 - L ER0 +POOLEY P UW1 - L IY0 +POOLING P UW1 - L IH0 NG +POOLS P UW1 L Z +POOLSIDE P UW1 L - S AY2 D +POON P UW1 N +POOP P UW1 P +POOPED P UW1 P T +POOPER P UW1 - P ER0 +POOPERS P UW1 - P ER0 Z +POOPS P UW1 P S +POOR P UH1 R +POOR'S P UH1 R Z +POOR-SPIRITED P UH1 R - S P IH1 - R IH0 - T IH0 D +POOR-SPIRITEDNESS P UH1 R - S P IH1 - R IH0 - T IH0 D - N AH0 S +POORBAUGH P UH1 R - B AO0 +POORE P UH1 R +POORER P UH1 - R ER0 +POOREST P UH1 - R IH0 S T +POORHOUSE P UH1 R - HH AW2 S +POORLY P UH1 R - L IY0 +POORMAN P UH1 R - M AH0 N +POORS P UH1 R Z +POORS(2) P AO1 R Z +POOSER P UW1 - Z ER0 +POOVEY P UW1 - V IY0 +POP P AA1 P +POP'S P AA1 P S +POPA P OW1 - P AH0 +POPCORN P AA1 P - K AO2 R N +POPE P OW1 P +POPE'S P OW1 P S +POPEIL P OW2 - P IY1 L +POPEJOY P OW1 P - JH OY2 +POPEJOY'S P OW1 P - JH OY2 Z +POPEK P OW1 - P IH0 K +POPELKA P AH0 - P EH1 L - K AH0 +POPES P OW1 P Z +POPEYE P AA1 - P AY2 +POPEYE'S P AA1 - P AY2 Z +POPEYES P AO1 - P AY2 Z +POPHAM P AA1 - F AH0 M +POPICK P AA1 - P IH0 K +POPIEL P AA1 - P IY0 L +POPIELUSZKO P OW0 - P IY2 - EH0 - L AH1 - S K OW0 +POPIK P OW1 - P IH0 K +POPKEN P AA1 P - K AH0 N +POPKIN P AA1 P - K IH0 N +POPKO P OW1 P - K OW0 +POPLAR P AA1 P - L ER0 +POPLAWSKI P AH0 - P L AA1 F - S K IY0 +POPLIN P AA1 P - L IH0 N +POPOFF P AA1 P - AO2 F +POPOLARE P AA2 - P OW0 - L AA1 - R IY0 +POPOV P OW1 - P AH0 V +POPOVIC P AA1 - P AH0 - V IH0 K +POPOVICH P AA1 - P AH0 - V IH0 CH +POPOWSKI P AH0 - P AO1 F S - K IY0 +POPP P AA1 P +POPPA P AA1 - P AH0 +POPPE P AA1 P +POPPEA P AA1 - P IY0 - AH0 +POPPED P AA1 P T +POPPELL P AA1 - P AH0 L +POPPEN P AA1 - P AH0 N +POPPER P AA1 - P ER0 +POPPERS P AA1 - P ER0 Z +POPPIES P AA1 - P IY0 Z +POPPING P AA1 - P IH0 NG +POPPINS P AA1 - P IH0 N Z +POPPLE P AA1 - P AH0 L +POPPLETON P AA1 - P AH0 L - T AA0 N +POPPLEWELL P AA1 - P AH0 L - W EH0 L +POPPY P AA1 - P IY0 +POPPY'S P AA1 - P IY0 Z +POPPYCOCK P AA1 - P IY0 - K AO2 K +POPS P AA1 P S +POPSICLE P AA1 P - S IH0 - K AH0 L +POPULACE P AA1 - P Y AH0 - L AH0 S +POPULAR P AA1 - P Y AH0 - L ER0 +POPULARITY P AA2 - P Y AH0 - L EH1 - R AH0 - T IY0 +POPULARIZATION P AA2 - P Y AH0 - L ER0 - AH0 - Z EY1 - SH AH0 N +POPULARIZE P AA1 - P Y AH0 - L ER0 - AY2 Z +POPULARIZED P AA1 - P Y AH0 - L ER0 - AY2 Z D +POPULARIZER P AA1 - P Y AH0 - L ER0 - AY2 - Z ER0 +POPULARIZING P AA1 - P Y AH0 - L ER0 - AY2 - Z IH0 NG +POPULARLY P AA1 - P Y AH0 - L ER0 - L IY0 +POPULATE P AA1 - P Y AH0 - L EY2 T +POPULATED P AA1 - P Y AH0 - L EY2 - T AH0 D +POPULATING P AA1 - P Y AH0 - L EY2 - T IH0 NG +POPULATION P AA2 - P Y AH0 - L EY1 - SH AH0 N +POPULATIONS P AA2 - P Y AH0 - L EY1 - SH AH0 N Z +POPULISM P AA1 - P Y AH0 - L IH2 - Z AH0 M +POPULIST P AA1 - P Y AH0 - L AH0 S T +POPULISTS P AA1 - P Y AH0 - L IH0 S T S +POPULISTS(2) P AA1 - P Y AH0 - L IH0 S S +POPULISTS(3) P AA1 - P Y AH0 - L IH0 S +POPULOUS P AA1 - P Y AH0 - L AH0 S +POPWELL P AA1 P - W EH2 L +POQUETTE P AH0 - K EH1 T +POR P AO1 R +PORADA P AO0 - R AA1 - D AH0 +PORATH P AO1 - R AH0 TH +PORCARO P AO0 R - K AA1 - R OW0 +PORCELAIN P AO1 R - S AH0 - L AH0 N +PORCELAINS P AO1 R - S AH0 - L AH0 N Z +PORCELLA P AO0 R - CH EH1 - L AH0 +PORCELLI P AO0 R - CH EH1 - L IY0 +PORCELLO P AO0 R - CH EH1 - L OW0 +PORCH P AO1 R CH +PORCHER P AO1 R - CH ER0 +PORCHER(2) P AO2 R - SH EY1 +PORCHES P AO1 R - CH AH0 Z +PORCHES(2) P AO1 R - CH IH0 Z +PORCHIA P AO1 R - K IY0 - AH0 +PORCO P AO1 R - K OW0 +PORCUPINE P AO1 R - K Y AH0 - P AY2 N +PORCUPINES P AO1 R - K Y AH0 - P AY2 N Z +PORDY P AO1 R - D IY0 +PORE P AO1 R +PORED P AO1 R D +POREMBA P AO0 - R EH1 M - B AH0 +PORES P AO1 R Z +PORGES P AO1 R - JH IH0 Z +PORGY P AO1 R - G IY0 +PORING P AO1 - R IH0 NG +PORK P AO1 R K +PORKY P AO1 R - K IY0 +PORN P AO1 R N +PORNO P AO1 R - N OW0 +PORNOGRAPHER P AO2 R - N AA1 - G R AH0 - F ER0 +PORNOGRAPHERS P AO2 R - N AA1 - G R AH0 - F ER0 Z +PORNOGRAPHIC P AO2 R - N AH0 - G R AE1 - F IH0 K +PORNOGRAPHY P AO0 R - N AA1 - G R AH0 - F IY0 +POROUS P AO1 - R AH0 S +PORPHYRITIC P AO2 R - F ER0 - IH1 - T IH0 K +PORPHYRY P AO1 R - F ER0 - IY0 +PORPOISE P AO1 R - P AH0 S +PORPOISES P AO1 R - P AH0 - S AH0 Z +PORR P AO1 R +PORRAS P AO1 - R AA0 Z +PORRAZZO P AO0 - R AA1 - Z OW0 +PORRECA P AO0 - R EH1 - K AH0 +PORRETTA P AO0 - R EH1 - T AH0 +PORRIDGE P AO1 - R AH0 JH +PORRITT P AO1 - R IH0 T +PORRO P AO1 - R OW0 +PORSCHE P AO1 R - SH AH0 +PORSCHE'S P AO1 R - SH AH0 Z +PORSCHE'S(2) P AO1 R - SH IH0 Z +PORSCHE(2) P AO1 R SH +PORSCHES P AO1 R - SH IH0 Z +PORT P AO1 R T +PORT'S P AO1 R T S +PORT-VICTORIA P AO1 R T - V IH0 K - T AO1 - R IY0 - AH0 +PORTA P AO1 R - T AH0 +PORTABILITY P AO2 R - T AH0 - B IH1 - L IH0 - T IY0 +PORTABLE P AO1 R - T AH0 - B AH0 L +PORTABLES P AO1 R - T AH0 - B AH0 L Z +PORTAGE P AO1 R - T AH0 JH +PORTAGE(2) P AO1 R - T IH0 JH +PORTAL P AO1 R - T AH0 L +PORTALES P AO0 R - T AA1 - L EH0 S +PORTALS P AO1 R - T AH0 L Z +PORTANOVA P AO0 R - T AA0 - N OW1 - V AH0 +PORTE P AO1 R T +PORTEC P AO1 R - T EH2 K +PORTEC'S P AO1 R - T EH2 K S +PORTED P AO1 R - T IH0 D +PORTEE P AO1 R - T IY1 +PORTELA P AO0 R - T EH1 - L AH0 +PORTELL P AO0 R - T EY1 L +PORTELLI P AO0 R - T EH1 - L IY0 +PORTEND P AO0 R - T EH1 N D +PORTENDING P AO0 R - T EH1 N - D IH0 NG +PORTENDS P AO0 R - T EH1 N D Z +PORTENT P AO1 R - T EH0 N T +PORTENTOUS P AO0 R - T EH1 N - T AH0 S +PORTENTS P AO1 R - T EH2 N T S +PORTEOUS P AO1 R - T IY0 - IH0 S +PORTER P AO1 R - T ER0 +PORTER'S P AO1 R - T ER0 Z +PORTERA P AO0 R - T EH1 - R AH0 +PORTERAGES P AO1 R - T ER0 - IH0 - JH IH0 Z +PORTERFIELD P AO1 R - T ER0 - F IY2 L D +PORTERS P AO1 R - T ER0 Z +PORTFOLIO P AO0 R T - F OW1 - L IY0 - OW2 +PORTFOLIO'S P AO0 R T - F OW1 - L IY0 - OW2 Z +PORTFOLIOS P AO0 R T - F OW1 - L IY0 - OW2 Z +PORTH P AO1 R TH +PORTIA P AO1 R - SH AH0 +PORTICO P AO1 R - T AH0 - K OW2 +PORTIER P AO1 R - T IY0 - ER0 +PORTILLA P AO2 R - T IH1 - L AH0 +PORTILLO P AO2 R - T IH1 - L OW0 +PORTING P AO1 R - T IH0 NG +PORTION P AO1 R - SH AH0 N +PORTIONS P AO1 R - SH AH0 N Z +PORTIS P AO1 R - T IH0 S +PORTLAND P AO1 R T - L AH0 N D +PORTLAND'S P AO1 R T - L AH0 N D Z +PORTLOCK P AO1 R T - L AA2 K +PORTLY P AO1 R T - L IY0 +PORTMAN P AO1 R T - M AH0 N +PORTNER P AO1 R T - N ER0 +PORTNEY P AO1 R T - N IY0 +PORTNOY P AO1 R T - N OY0 +PORTO P AO1 R - T OW0 +PORTRAIT P AO1 R - T R AH0 T +PORTRAITS P AO1 R - T R AH0 T S +PORTRAY P AO0 R - T R EY1 +PORTRAYAL P AO0 R - T R EY1 - AH0 L +PORTRAYALS P AO0 R - T R EY1 - AH0 L Z +PORTRAYED P AO0 R - T R EY1 D +PORTRAYING P AO0 R - T R EY1 - IH0 NG +PORTRAYS P AO0 R - T R EY1 Z +PORTS P AO1 R T S +PORTSMOUTH P AO1 R T S - M AH0 TH +PORTUGAL P AO1 R - CH AH0 - G AH0 L +PORTUGAL'S P AO1 R - CH AH0 - G AH0 L Z +PORTUGALIA P AO2 R - CH UW1 - G EY1 - L IY0 - AH0 +PORTUGUESE P AO1 R - CH AH0 - G IY2 Z +PORTWOOD P AO1 R T - W UH2 D +PORTZ P AO1 R T S +PORZIO P AO1 R - Z IY0 - OW0 +POS P AA1 S +POS(2) P IY1 - OW1 - EH1 S +POSA P OW1 - S AH0 +POSADA P OW0 - S AA1 - D AH0 +POSAVINA P OW0 - S AH0 - V IY1 - N AH0 +POSAVINA(2) P AO0 - S AH0 - V IY1 - N AH0 +POSCH P AO1 SH +POSCO P AO1 - S K OW0 +POSE P OW1 Z +POSED P OW1 Z D +POSEIDON P AH0 - S AY1 - D AH0 N +POSEIDON'S P AH0 - S AY1 - D AH0 N Z +POSEN P OW1 - Z AH0 N +POSER P OW1 - Z ER0 +POSES P OW1 - Z AH0 Z +POSES(2) P OW1 - Z IH0 Z +POSEY P OW1 - Z IY0 +POSH P AA1 SH +POSHARD P AA1 - SH ER0 D +POSING P OW1 - Z IH0 NG +POSIT P AA1 - Z AH0 T +POSITED P AA1 - Z AH0 - T AH0 D +POSITION P AH0 - Z IH1 - SH AH0 N +POSITIONED P AH0 - Z IH1 - SH AH0 N D +POSITIONING P AH0 - Z IH1 - SH AH0 N - IH0 NG +POSITIONS P AH0 - Z IH1 - SH AH0 N Z +POSITIVE P AA1 - Z AH0 - T IH0 V +POSITIVELY P AA1 - Z AH0 - T IH0 V - L IY0 +POSITIVES P AA1 - Z AH0 - T IH0 V Z +POSITIVISM P AA1 - Z AH0 - T IH0 - V IH2 - Z AH0 M +POSITRON P AA1 - Z AH0 - T R AA2 N +POSITRONS P AA1 - Z AH0 - T R AA2 N Z +POSITS P AA1 - Z AH0 T S +POSLUNS P AO1 Z - L AH0 N Z +POSLUSZNY P AH0 S - L AH1 SH - N IY0 +POSNER P OW1 Z - N ER0 +POSNER'S P OW1 Z - N ER0 Z +POSNER'S(2) P AO1 Z - N ER0 Z +POSNER(2) P AO1 Z - N ER0 +POSNERS P OW1 Z - N ER0 Z +POSNERS(2) P AO1 Z - N ER0 Z +POSNICK P AO1 S - N IH0 K +POSPISIL P OW0 S - P IY0 - S IY1 L +POSS P AO1 S +POSSE P AA1 - S IY0 +POSSEHL P AA1 - S AH0 L +POSSES P AA1 - S IY0 Z +POSSESS P AH0 - Z EH1 S +POSSESSED P AH0 - Z EH1 S T +POSSESSES P AH0 - Z EH1 - S AH0 Z +POSSESSES(2) P AH0 - Z EH1 - S IH0 Z +POSSESSING P AH0 - Z EH1 - S IH0 NG +POSSESSION P AH0 - Z EH1 - SH AH0 N +POSSESSIONS P AH0 - Z EH1 - SH AH0 N Z +POSSESSIVE P AH0 - Z EH1 - S IH0 V +POSSESSIVENESS P AH0 - Z EH1 - S IH0 V - N AH0 S +POSSESSOR P AH0 - Z EH1 - S ER0 +POSSIBILITIES P AA2 - S AH0 - B IH1 - L AH0 - T IY0 Z +POSSIBILITY P AA2 - S AH0 - B IH1 - L AH0 - T IY0 +POSSIBLE P AA1 - S AH0 - B AH0 L +POSSIBLY P AA1 - S AH0 - B L IY0 +POSSUM P AA1 - S AH0 M +POSSUMS P AA1 - S AH0 M Z +POST P OW1 S T +POST'S P OW1 S T S +POST-ATTACK P OW1 - S T AH0 - T AE1 K +POSTAGE P OW1 - S T AH0 JH +POSTAGE(2) P OW1 - S T IH0 JH +POSTAL P OW1 - S T AH0 L +POSTAL'S P OW1 - S T AH0 L Z +POSTCARD P OW1 S T - K AA2 R D +POSTCARD(2) P OW1 S - K AA2 R D +POSTCARDS P OW1 S T - K AA2 R D Z +POSTCARDS(2) P OW1 S - K AA2 R D Z +POSTCRASH P OW1 S T - K R AE2 SH +POSTDATE P OW2 S T - D EY1 T +POSTDOCTORAL P OW2 S T - D AA1 K - T ER0 - AH0 L +POSTED P OW1 - S T IH0 D +POSTEL P AA1 - S T AH0 L +POSTELL P AA1 - S T AH0 L +POSTEMA P AA0 - S T EH1 - M AH0 +POSTEN P OW1 - S T AH0 N +POSTER P OW1 - S T ER0 +POSTERARO P AO2 - S T EH0 - R AA1 - R OW0 +POSTERIOR P AO2 - S T IH1 - R IY0 - EH0 R +POSTERITY P AA0 - S T EH1 - R AH0 - T IY0 +POSTERS P OW1 - S T ER0 Z +POSTGAME P OW2 S T - G EY1 M +POSTHOLE P OW1 S T - HH OW2 L +POSTHOLES P OW1 S T - HH OW2 L Z +POSTHUMOUS P AA1 - S CH UH0 - M AH0 S +POSTHUMOUSLY P AA1 - S CH UH0 - M AH0 S - L IY0 +POSTING P OW1 - S T IH0 NG +POSTINGS P OW1 - S T IH0 NG Z +POSTINO P AO0 - S T IY1 - N OW0 +POSTIPANKKI P AO2 - S T IH0 - P AE1 NG - K IY0 +POSTLE P AA1 - S AH0 L +POSTLETHWAIT P OW1 - S T AH0 L TH - W EY0 T +POSTLEWAIT P AA1 - S T AH0 L - W EY0 T +POSTLEWAITE P OW1 - S T AH0 L - W EY0 T +POSTMA P OW1 S T - M AH0 +POSTMAN P OW1 S T - M AH0 N +POSTMAN(2) P OW1 S - M AH0 N +POSTMARK P OW1 S T - M AA2 R K +POSTMARKED P OW1 S T - M AA2 R K T +POSTMARKED(2) P OW1 S - M AA2 R K T +POSTMASTER P OW1 S T - M AE2 - S T ER0 +POSTMASTER(2) P OW1 S - M AE2 - S T ER0 +POSTMASTERS P OW1 S T - M AE2 - S T ER0 Z +POSTMASTERS(2) P OW1 S - M AE2 - S T ER0 Z +POSTMODERN P OW0 S T - M AA1 - D ER0 N +POSTMORTEM P OW0 S T - M AO1 R - T EH0 M +POSTNATAL P OW1 S T - N EY1 - T AH0 L +POSTON P OW1 - S T AH0 N +POSTPONE P OW0 S T - P OW1 N +POSTPONE(2) P OW0 - S P OW1 N +POSTPONED P OW0 S T - P OW1 N D +POSTPONED(2) P OW0 - S P OW1 N D +POSTPONEMENT P OW0 S T - P OW1 N - M AH0 N T +POSTPONEMENT(2) P OW0 - S P OW1 N - M AH0 N T +POSTPONEMENTS P OW0 S T - P OW1 N - M AH0 N T S +POSTPONEMENTS(2) P OW0 - S P OW1 N - M AH0 N T S +POSTPONES P OW0 S T - P OW1 N Z +POSTPONES(2) P OW0 - S P OW1 N Z +POSTPONING P OW0 S T - P OW1 - N IH0 NG +POSTPONING(2) P OW0 - S P OW1 - N IH0 NG +POSTREL P AO1 - S T R EH0 L +POSTRELLE P OW2 S - T R EH1 L +POSTRETIREMENT P OW2 S - T R IY0 - T AY1 - ER0 - M AH0 N T +POSTS P OW1 S T S +POSTS(2) P OW1 S S +POSTS(3) P OW1 S +POSTSCRIPT P OW1 S - K R IH2 P T +POSTSCRIPT(2) P OW1 S T - S K R IH2 P T +POSTSCRIPTS P OW1 S - K R IH2 P T S +POSTSCRIPTS(2) P OW1 S T - S K R IH2 P T S +POSTSCRIPTS(3) P OW1 S - K R IH2 P S +POSTSCRIPTS(4) P OW1 S T - S K R IH2 P S +POSTTRAUMATIC P OW2 S T - T R AO0 - M AE1 - T IH0 K +POSTTRAUMATIC(2) P OW2 S T - R AO0 - M AE1 - T IH0 K +POSTULATE P AA1 - S CH AH0 - L EY2 T +POSTULATE(2) P AA1 - S CH AH0 - L AH0 T +POSTULATES P AA1 - S CH AH0 - L EY2 T S +POSTULATES(2) P AA1 - S CH AH0 - L AH0 T S +POSTURE P AA1 S - CH ER0 +POSTURES P AA1 S - CH ER0 Z +POSTURING P AA1 S - CH ER0 - IH0 NG +POSTURINGS P AA1 S - CH ER0 - IH0 NG Z +POSTWAR P OW1 S T - W AO1 R +POT P AA1 T +POTABLE P OW1 - T AH0 - B AH0 L +POTAMKIN P OW1 - T AE2 M - K IH0 N +POTAPOV P AA1 T - AH0 - P AA2 V +POTASH P AA1 T - AE2 SH +POTASSIUM P AH0 - T AE1 - S IY0 - AH0 M +POTATO P AH0 - T EY1 - T OW2 +POTATOES P AH0 - T EY1 - T OW0 Z +POTE P OW1 T +POTEAT P OW0 - T IY1 T +POTEET P AA1 - T IY0 T +POTEETE P AA1 - T IY0 T +POTEMKIN P AH0 - T EH1 M - K IH0 N +POTEMPA P OW0 - T EH1 M - P AH0 +POTENCY P OW1 - T AH0 N - S IY0 +POTENT P OW1 - T AH0 N T +POTENTATE P OW1 - T AH0 N - T EY2 T +POTENTATES P OW1 - T AH0 N - T EY2 T S +POTENTIAL P AH0 - T EH1 N - SH AH0 L +POTENTIAL(2) P AH0 - T EH1 N - CH AH0 L +POTENTIALLY P AH0 - T EH1 N - SH AH0 - L IY0 +POTENTIALLY(2) P AH0 - T EH1 N - CH AH0 - L IY0 +POTENTIALS P AH0 - T EH1 N - CH AH0 L Z +POTENTIALS(2) P AH0 - T EH1 N - SH AH0 L Z +POTENZA P OW0 - T EH1 N - Z AH0 +POTH P AA1 TH +POTHIER P OW1 - TH IY0 - ER0 +POTHITOS P AH0 - TH IY1 - T OW0 S +POTHOLE P AA1 T - HH OW2 L +POTHOLED P AA1 T - HH OW2 L D +POTHOLES P AA1 T - HH OW2 L Z +POTIER P OW1 - T IY0 - ER0 +POTIKER P OW1 - T IH0 - K ER0 +POTION P OW1 - SH AH0 N +POTIONS P OW1 - SH AH0 N Z +POTLATCH P AA1 T - L AE2 CH +POTLUCK P AA1 T - L AH2 K +POTOCKI P AH0 - T OW1 T - S K IY0 +POTOMAC P AH0 - T OW1 - M AH0 K +POTPIE P AA1 T - P AY2 +POTPOURRI P OW2 - P UH0 - R IY1 +POTRATZ P AA1 - T R AH0 T S +POTS P AA1 T S +POTSDAM P AA1 T - S D AE2 M +POTSHOT P AA1 - SH AA2 T +POTSHOTS P AA1 - CH AA2 T S +POTT P AA1 T +POTTEBAUM P AA1 T - B AW0 M +POTTED P AA1 - T IH0 D +POTTEIGER P AA1 - T AY0 - G ER0 +POTTENGER P AA1 - T IH0 N - JH ER0 +POTTER P AA1 - T ER0 +POTTER'S P AA1 - T ER0 Z +POTTERS P AA1 - T ER0 Z +POTTERY P AA1 - T ER0 - IY0 +POTTHAST P AA1 - TH AH0 S T +POTTHOFF P AA1 T - HH AO2 F +POTTHURST P AA1 T - HH ER0 S T +POTTINGER P AA1 - T IH0 - NG ER0 +POTTLE P AA1 - T AH0 L +POTTORFF P AA1 - T ER0 F +POTTS P AA1 T S +POTTY P AA1 - T IY0 +POTUCEK P AA1 - T AH0 - CH EH0 K +POTVIN P AA1 T - V IH0 N +POU P UW1 +POUCH P AW1 CH +POUCHER P AW1 - CH ER0 +POUCHES P AW1 - CH AH0 Z +POUDRIER P AW1 - D ER0 - IY0 - ER0 +POUGH P AW1 +POUGHKEEPSIE P AH0 - K IH1 P - S IY0 +POUGHKEEPSIE'S P AH0 - K IH1 P - S IY0 Z +POUL P UW1 L +POULENC P UW1 - L AH0 NG K +POULENC'S P UW1 - L AH0 NG K S +POULIN P UW0 - L AE1 N +POULIOT P UW1 - L IY0 - OW0 +POULOS P AH0 - L IY1 S +POULSEN P AW1 L - S AH0 N +POULSON P AW1 L - S AH0 N +POULTER P OW1 L - T ER0 +POULTICE P OW1 L - T AH0 S +POULTICES P OW1 L - T AH0 - S IH0 Z +POULTON P AW1 L - T AH0 N +POULTRY P OW1 L - T R IY0 +POUNCE P AW1 N S +POUNCED P AW1 N S T +POUNCEY P AW1 N - S IY0 +POUNCING P AW1 N - S IH0 NG +POUNCY P UW0 NG - K IY1 +POUND P AW1 N D +POUND'S P AW1 N D Z +POUND'S(2) P AW1 N Z +POUNDAGE P AW1 N - D IH0 JH +POUNDED P AW1 N - D IH0 D +POUNDER P AW1 N - D ER0 +POUNDERS P AW1 N - D ER0 Z +POUNDING P AW1 N - D IH0 NG +POUNDS P AW1 N D Z +POUNDS(2) P AW1 N Z +POUNDSTONE P AW1 N D - S T OW2 N +POUPARD P UW1 - P ER0 D +POUR P AO1 R +POURCIAU P AO1 R - S IY0 - OW0 +POURED P AO1 R D +POURING P AO1 - R IH0 NG +POURS P AO1 R Z +POUSSAINT P UW2 - S AA1 N T +POUSSANT P UW1 - S AH0 N T +POUSSIN P UW1 - S IH0 N +POUSSON P UW2 - S AA1 N +POUST P AW1 S T +POUT P AW1 T +POUTED P AW1 - T IH0 D +POUTER P AW1 - T ER0 +POUTING P AW1 - T IH0 NG +POUTRE P AW1 - T ER0 +POUTS P AW1 T S +POUTY P AW1 - T IY0 +POVEROMO P OW2 - V EH0 - R OW1 - M OW0 +POVERTY P AA1 - V ER0 - T IY0 +POVICH P OW1 - V IH0 CH +POVICH'S P OW1 - V IH0 - CH IH0 Z +POW P AW1 +POWALSKY P OW0 - AE1 L - S K IY0 +POWDER P AW1 - D ER0 +POWDERED P AW1 - D ER0 D +POWDERING P AW1 - D ER0 - IH0 NG +POWDERLY P AW1 - D ER0 - L IY0 +POWDERS P AW1 - D ER0 Z +POWDERY P AW1 - D ER0 - IY0 +POWE P AW1 +POWELL P AW1 - AH0 L +POWELL'S P OW1 - IH0 L Z +POWELSON P AW1 - AH0 L - S AH0 N +POWER P AW1 - ER0 +POWER'S P AW1 - ER0 Z +POWERBALL P AW1 - ER0 - B AO2 L +POWERBOAT P AW1 - ER0 - B OW2 T +POWERBOOK P AW1 - ER0 - B UH2 K +POWERCISE P AW1 R - S AY2 Z +POWERED P AW1 - ER0 D +POWERFUL P AW1 - ER0 - F AH0 L +POWERFULLY P AW1 - ER0 F - L IY0 +POWERGEN P AW1 - ER0 - JH EH2 N +POWERHOUSE P AW1 - ER0 - HH AW2 S +POWERHOUSES P AW1 - ER0 - HH AW2 - S IH0 Z +POWERING P AW1 - ER0 - IH0 NG +POWERLESS P AW1 - ER0 - L AH0 S +POWERLESSNESS P AW1 - ER0 - L AH0 S - N AH0 S +POWERPC P AW1 - ER0 - P IY1 - S IY1 +POWERPCS P AW1 - ER0 - P IY1 - S IY1 Z +POWERPCS' P AW1 - ER0 - P IY1 - S IY1 Z +POWERS P AW1 - ER0 Z +POWERS' P AW1 - ER0 Z +POWERSOFT P AW1 - ER0 - S AA2 F T +POWERTRAIN P AW1 R - T R EY2 N +POWIS P AW1 - IH0 S +POWLES P AW1 - AH0 L Z +POWLESS P AW1 - L IH0 S +POWLEY P AW1 - L IY0 +POWNALL P AW1 - N AH0 L +POWS P OW1 Z +POWTER P AW1 - T ER0 +POWWOW P AW1 - W AW2 +POX P AA1 K S +POYER P OY1 - ER0 +POYNER P OY1 - N ER0 +POYNOR P OY1 - N ER0 +POYNTER P OY1 N - T ER0 +POYNTON P OY1 N - T AH2 N +POYSER P OY1 - S ER0 +POYTHRESS P OY1 TH - R IH0 S +POZNAN P AA1 Z - N AH0 N +POZNANSKI P AH0 Z - N AE1 N S - K IY0 +POZNER P AA1 Z - N ER0 +POZNIAK P AA1 Z - N IY0 - AE0 K +POZNIKOV P AA1 Z - N IH0 - K AA2 V +POZO P OW1 - Z OW0 +POZOS P OW1 - Z OW0 S +POZZI P AA1 - Z IY0 +PPM P IY1 - P IY1 - EH1 M +PRAB P R AE1 B +PRACHT P R AE1 K T +PRACTICABLE P R AE1 K - T AH0 - K AH0 - B AH0 L +PRACTICAL P R AE1 K - T AH0 - K AH0 L +PRACTICAL(2) P R AE1 K - T IH0 - K AH0 L +PRACTICALITY P R AE2 K - T IH0 - K AE1 - L AH0 - T IY0 +PRACTICALLY P R AE1 K - T AH0 K - L IY0 +PRACTICALLY(2) P R AE1 K - T AH0 - K AH0 - L IY0 +PRACTICE P R AE1 K - T AH0 S +PRACTICE(2) P R AE1 K - T IH0 S +PRACTICED P R AE1 K - T AH0 S T +PRACTICED(2) P R AE1 K - T IH0 S T +PRACTICES P R AE1 K - T AH0 - S AH0 Z +PRACTICES(2) P R AE1 K - T IH0 - S IH0 Z +PRACTICING P R AE1 K - T AH0 - S IH0 NG +PRACTITIONER P R AE0 K - T IH1 - SH AH0 N - ER0 +PRACTITIONER(2) P R AE0 K - T IH1 SH - N ER0 +PRACTITIONERS P R AE0 K - T IH1 - SH AH0 N - ER0 Z +PRACTITIONERS(2) P R AE0 K - T IH1 SH - N ER0 Z +PRADA P R AA1 - D AH0 +PRADESH P R AH0 - D EH1 SH +PRADETTO P R AH0 - D EH1 - T OW0 +PRADO P R AA1 - D OW0 +PRAETOR P R IY1 - T ER0 +PRAETORIAN P R IY0 - T AO1 - R IY0 - AH0 N +PRAGER P R EY1 - G ER0 +PRAGMATIC P R AE0 G - M AE1 - T IH0 K +PRAGMATICALLY P R AE0 G - M AE1 - T IH0 - K AH0 - L IY0 +PRAGMATICALLY(2) P R AE0 G - M AE1 - T IH0 K - L IY0 +PRAGMATISM P R AE1 G - M AH0 - T IH2 - Z AH0 M +PRAGMATIST P R AE1 G - M AH0 - T IH0 S T +PRAGMATISTS P R AE1 G - M AH0 - T IH0 S T S +PRAGMATISTS(2) P R AE1 G - M AH0 - T IH0 S S +PRAGMATISTS(3) P R AE1 G - M AH0 - T IH0 S +PRAGUE P R AA1 G +PRAGUE'S P R AA1 G Z +PRAHL P R AA1 L +PRAIRIE P R EH1 - R IY0 +PRAIRIE'S P R EH1 - R IY0 Z +PRAIRIES P R EY1 - R IY0 Z +PRAISE P R EY1 Z +PRAISED P R EY1 Z D +PRAISES P R EY1 - Z AH0 Z +PRAISES(2) P R EY1 - Z IH0 Z +PRAISEWORTHY P R EY1 Z - W ER2 - DH IY0 +PRAISING P R EY1 - Z IH0 NG +PRAKASH P R AA0 - K AA1 SH +PRALL P R AO1 L +PRALLE P R EY1 L +PRAN P R AA1 N +PRAN(2) P R AE1 N +PRANCE P R AE1 N S +PRANCES P R AE1 N - S IH0 Z +PRANCING P R AE1 N - S IH0 NG +PRANGE P R EY1 N JH +PRANGER P R EY1 N - JH ER0 +PRANK P R AE1 NG K +PRANKS P R AE1 NG K S +PRANKSTER P R AE1 NG K - S T ER0 +PRAPAS P R AA1 - P AH0 S +PRASAD P R AE1 - S AH0 D +PRASEK P R AA1 - S EH0 K +PRASHANT P R AA2 - SH AA1 N T +PRATER P R EY1 - T ER0 +PRATFALL P R AE1 T - F AO2 L +PRATFALLS P R AE1 T - F AO2 L Z +PRATHER P R AE1 - DH ER0 +PRATO P R AA1 - T OW0 +PRATS P R AE1 T S +PRATT P R AE1 T +PRATT'S P R AE1 T S +PRATTE P R AE1 T +PRATTLE P R AE1 - T AH0 L +PRATTVILLE P R AE1 T - V IH0 L +PRAUN P R AO1 N +PRAUSE P R AO1 Z +PRAVDA P R AE1 V - D AH0 +PRAVDA'S P R AE1 V - D AH0 Z +PRAWN P R AO1 N +PRAWNS P R AO1 N Z +PRAXAIR P R AE1 K - S EH1 R +PRAXIS P R AE1 K - S IH0 S +PRAY P R EY1 +PRAYED P R EY1 D +PRAYER P R EH1 R +PRAYER(2) P R EY1 - ER0 +PRAYERFUL P R EH1 R - F AH0 L +PRAYERFUL(2) P R EY1 - ER0 - F AH0 L +PRAYERS P R EH1 R Z +PRAYERS(2) P R EY1 - ER0 Z +PRAYING P R EY1 - IH0 NG +PRAYS P R EY1 Z +PRAYTOR P R EY1 - T ER0 +PRAZAK P R AA1 - Z AH0 K +PRCHAL P ER0 - SH AE1 L +PRE P R IY1 +PREACH P R IY1 CH +PREACHED P R IY1 CH T +PREACHER P R IY1 - CH ER0 +PREACHER'S P R IY1 - CH ER0 Z +PREACHERS P R IY1 - CH ER0 Z +PREACHES P R IY1 - CH IH0 Z +PREACHING P R IY1 - CH IH0 NG +PREACHY P R IY1 - CH IY0 +PREADOLESCENCE P R IY2 - AE0 - D AH0 - L EH1 - S IH0 S +PREADOLESCENT P R IY2 - AE0 - D AH0 - L EH1 - S IH0 N T +PREAKNESS P R IY1 K - N AH0 S +PREAMBLE P R IY0 - AE1 M - B AH0 L +PREARRANGE P R IY2 - ER0 - EY1 N JH +PREARRANGED P R IY2 - ER0 - EY1 N JH D +PREAS P R IY1 Z +PREBBLE P R EH1 - B AH0 L +PREBE P R IY1 B +PREBLE P R EH1 - B AH0 L +PREBON P R IY1 - B AA0 N +PRECAMBRIAN P R IY0 - K AE1 M - B R IY0 - AH0 N +PRECANCEROUS P R IY0 - K AE1 N - S ER0 - AH0 S +PRECARIOUS P R IY0 - K EH1 - R IY0 - AH0 S +PRECARIOUSLY P R IH0 - K EH1 - R IY0 - AH0 S - L IY0 +PRECAST P R IY0 - K AE1 S T +PRECAUTION P R IY0 - K AO1 - SH AH0 N +PRECAUTIONARY P R IH0 - K AO1 - SH AH0 N - EH0 - R IY0 +PRECAUTIONS P R IY0 - K AO1 - SH AH0 N Z +PRECEDE P R IH0 - S IY1 D +PRECEDED P R IH0 - S IY1 - D IH0 D +PRECEDED(2) P R IY0 - S IY1 - D AH0 D +PRECEDED(3) P R IY0 - S IY1 - D IH0 D +PRECEDENCE P R EH1 - S AH0 - D AH0 N S +PRECEDENT P R EH1 - S IH0 - D AH0 N T +PRECEDENTS P R EH1 - S AH0 - D AH0 N T S +PRECEDENTS(2) P R EH1 - S AH0 - D EH2 N T S +PRECEDES P R IH0 - S IY1 D Z +PRECEDING P R IY0 - S IY1 - D IH0 NG +PRECEEDING P R IH0 - S IY1 - D IH0 NG +PRECEPT P R IY1 - S EH2 P T +PRECEPTS P R IY1 - S EH2 P T S +PRECESSION P R IY0 - S EH1 - SH AH0 N +PRECHT P R EH1 K T +PRECHTER P R EH1 K - T ER0 +PRECHTL P R EH1 K - T AH0 L +PRECIADO P R EH0 - CH AA1 - D OW0 +PRECINCT P R IY1 - S IH2 NG K T +PRECINCT(2) P R IY1 - S IH2 NG K +PRECINCTS P R IY1 - S IH2 NG K T S +PRECINCTS(2) P R IY1 - S IH2 NG K S +PRECIOUS P R EH1 - SH AH0 S +PRECIPICE P R EH1 - S AH0 - P AH0 S +PRECIPITATE P R IH0 - S IH1 - P IH0 - T EY2 T +PRECIPITATED P R IH0 - S IH1 - P IH0 - T EY2 - T IH0 D +PRECIPITATING P R IH0 - S IH1 - P AH0 - T EY2 - T IH0 NG +PRECIPITATION P R IH0 - S IH2 - P IH0 - T EY1 - SH AH0 N +PRECIPITOUS P R IH0 - S IH1 - P IH0 - T AH0 S +PRECIPITOUSLY P R IY2 - S IH1 - P IH0 - T AH0 S - L IY0 +PRECIS P R EY1 - S IY2 +PRECISE P R IH0 - S AY1 S +PRECISE(2) P R IY0 - S AY1 S +PRECISELY P R IH0 - S AY1 S - L IY0 +PRECISELY(2) P R IY0 - S AY1 S - L IY0 +PRECISION P R IY0 - S IH1 - ZH AH0 N +PRECLINICAL P R IY0 K - L IH1 - N IH0 - K AH0 L +PRECLUDE P R IH0 - K L UW1 D +PRECLUDE(2) P R IY0 - K L UW1 D +PRECLUDED P R IH0 - K L UW1 - D IH0 D +PRECLUDED(2) P R IY0 - K L UW1 - D IH0 D +PRECLUDES P R IH0 - K L UW1 D Z +PRECLUDES(2) P R IY0 - K L UW1 D Z +PRECLUDING P R IH0 - K L UW1 - D IH0 NG +PRECLUSION P R IH0 - K L UW1 - ZH AH0 N +PRECLUSION(2) P R IY0 - K L UW1 - ZH AH0 N +PRECOCIOUS P R IH0 - K OW1 - SH AH0 S +PRECOCIOUS(2) P R IY0 - K OW1 - SH AH0 S +PRECONCEIVE P R IY2 - K AH0 N - S IY1 V +PRECONCEIVED P R IY2 - K AH0 N - S IY1 V D +PRECONCEPTION P R IY0 - K AH0 N - S EH1 P - SH AH0 N +PRECONCEPTIONS P R IY0 - K AH0 N - S EH1 P - SH AH0 N Z +PRECONDITION P R IY2 - K AH0 N - D IH1 - SH AH0 N +PRECONDITIONS P R IY2 - K AH0 N - D IH1 - SH AH0 N Z +PRECOOK P R IY1 - K UH1 K +PRECOOKED P R IY0 - K UH1 K T +PRECOURT P R IH0 - K AO1 R T +PRECRASH P R IY0 - K R AE1 SH +PRECURSOR P R IY0 - K ER1 - S ER0 +PRECURSORS P R IY0 - K ER1 - S ER0 Z +PREDACEOUS P R IY0 - D EY1 - SH AH0 S +PREDATE P R IY0 - D EY1 T +PREDATE(2) P R IY1 - D EY1 T +PREDATED P R IY0 - D EY1 - T IH0 D +PREDATED(2) P R IY1 - D EY1 - T IH0 D +PREDATES P R IY1 - D EY1 T S +PREDATOR P R EH1 - D AH0 - T ER0 +PREDATORS P R EH1 - D AH0 - T ER0 Z +PREDATORY P R EH1 - D AH0 - T AO2 - R IY0 +PREDAWN P R IY0 - D AO1 N +PREDDY P R EH1 - D IY0 +PREDECESSOR P R EH1 - D AH0 - S EH2 - S ER0 +PREDECESSOR'S P R EH1 - D AH0 - S EH2 - S ER0 Z +PREDECESSORS P R EH1 - D AH0 - S EH2 - S ER0 Z +PREDECESSORS' P R EH2 - D AH0 - S EH1 - S ER0 Z +PREDESTINATION P R IY2 - D EH2 - S T AH0 - N EY1 - SH AH0 N +PREDESTINE P R IY2 - D EH1 - S T AH0 N +PREDESTINED P R IY2 - D EH1 - S T AH0 N D +PREDETERMINE P R IY2 - D IH0 - T ER1 - M AH0 N +PREDETERMINE(2) P R IY2 - D IY0 - T ER1 - M AH0 N +PREDETERMINED P R IY2 - D IY0 - T ER1 - M IH0 N D +PREDICAMENT P R IH0 - D IH1 - K AH0 - M AH0 N T +PREDICAMENT(2) P R IY0 - D IH1 - K AH0 - M AH0 N T +PREDICAMENTS P R IH0 - D IH1 - K AH0 - M AH0 N T S +PREDICATE P R EH1 - D AH0 - K EY2 T +PREDICATE(2) P R EH1 - D IH0 - K AH0 T +PREDICATED P R EH1 - D AH0 - K EY2 - T IH0 D +PREDICATES P R EH1 - D AH0 - K EY2 T S +PREDICATES(2) P R EH1 - D IH0 - K AH0 T S +PREDICT P R IH0 - D IH1 K T +PREDICT(2) P R IY0 - D IH1 K T +PREDICTABILITY P R IH0 - D IH2 K - T AH0 - B IH1 - L IH0 - T IY0 +PREDICTABLE P R IH0 - D IH1 K - T AH0 - B AH0 L +PREDICTABLE(2) P R IY0 - D IH1 K - T AH0 - B AH0 L +PREDICTABLY P R IH0 - D IH1 K - T AH0 - B L IY0 +PREDICTED P R IH0 - D IH1 K - T IH0 D +PREDICTED(2) P R IY0 - D IH1 K - T AH0 D +PREDICTED(3) P R IY0 - D IH1 K - T IH0 D +PREDICTING P R IH0 - D IH1 K - T IH0 NG +PREDICTING(2) P R IY0 - D IH1 K - T IH0 NG +PREDICTION P R IY0 - D IH1 K - SH AH0 N +PREDICTIONS P R IY0 - D IH1 K - SH AH0 N Z +PREDICTIVE P R IH0 - D IH1 K - T IH0 V +PREDICTIVE(2) P R IY0 - D IH1 K - T IH0 V +PREDICTOR P R IH0 - D IH1 K - T ER0 +PREDICTORS P R IH0 - D IH1 K - T ER0 Z +PREDICTORS(2) P R IY0 - D IH1 K - T ER0 Z +PREDICTS P R IH0 - D IH1 K T S +PREDICTS(2) P R IY0 - D IH1 K T S +PREDICTS(3) P R IH0 - D IH1 K S +PREDICTS(4) P R IY0 - D IH1 K S +PREDILECTION P R EH2 - D AH0 - L EH1 K - SH AH0 N +PREDILECTIONS P R EH2 - D AH0 - L EH1 K - SH AH0 N Z +PREDISPOSE P R IY2 - D IH0 - S P OW1 Z +PREDISPOSED P R IY2 - D IH0 - S P OW1 Z D +PREDISPOSING P R IY2 - D IH0 - S P OW1 - Z IH0 NG +PREDISPOSITION P R IY2 - D IH0 S - P AH0 - Z IH1 - SH AH0 N +PREDISPOSITIONS P R IY2 - D IH0 S - P AH0 - Z IH1 - SH AH0 N Z +PREDMORE P R EH1 D - M AO0 R +PREDOMINANCE P R IH0 - D AA1 - M AH0 - N AH0 N S +PREDOMINANT P R IH0 - D AA1 - M AH0 - N AH0 N T +PREDOMINANTLY P R IH0 - D AA1 - M AH0 - N AH0 N T - L IY0 +PREDOMINATE P R IH0 - D AA1 - M AH0 - N EY2 T +PREDOMINATE(2) P R IH0 - D AA1 - M AH0 - N AH0 T +PREDOMINATED P R IH0 - D AA1 - M AH0 - N EY2 - T IH0 D +PREDOMINATES P R IH0 - D AA1 - M AH0 - N EY2 T S +PREDOMINATING P R IH0 - D AA1 - M AH0 - N EY2 - T IH0 NG +PREE P R IY1 +PREECE P R IY1 S +PREELECTION P R IY0 - IH0 - L EH1 K - SH AH0 N +PREEMINENCE P R IY0 - EH1 - M AH0 - N AH0 N S +PREEMINENT P R IY0 - EH1 - M AH0 - N AH0 N T +PREEMPT P R IY1 - EH2 M P T +PREEMPTED P R IY0 - EH1 M P - T IH0 D +PREEMPTING P R IY0 - EH1 M P - T IH0 NG +PREEMPTION P R IY2 - EH1 M P - SH AH0 N +PREEMPTIVE P R IY0 - EH1 M P - T IH0 V +PREEMPTIVELY P R IY0 - EH1 M P - T IH0 V - L IY0 +PREEN P R IY1 N +PREENED P R IY1 N D +PREENING P R IY1 - N IH0 NG +PREEXIST P R IY1 - IH0 G - Z IH1 S T +PREEXISTED P R IY1 - IH0 G - Z IH1 - S T IH0 D +PREEXISTING P R IY1 - IH0 G - Z IH1 - S T IH0 NG +PREEXISTS P R IY1 - IH0 G - Z IH1 S T S +PREEXISTS(2) P R IY1 - IH0 G - Z IH1 S S +PREEXISTS(3) P R IY1 - IH0 G - Z IH1 S +PREFAB P R IY1 - F AE1 B +PREFABRICATE P R IY0 - F AE1 - B R IH0 - K EY2 T +PREFABRICATED P R IY0 - F AE1 - B R IH0 - K EY2 - T IH0 D +PREFABRICATION P R IY2 - F AE2 - B R AH0 - K EY1 - SH AH0 N +PREFABS P R IY1 - F AE1 B Z +PREFACE P R EH1 - F AH0 S +PREFACED P R EH1 - F AH0 S T +PREFECT P R IY1 - F EH2 K T +PREFECTURAL P R IY0 - F EH1 K - CH ER0 - AH0 L +PREFECTURE P R IY1 - F EH2 K - CH ER0 +PREFER P R AH0 - F ER1 +PREFER(2) P R IH0 - F ER1 +PREFER(3) P R IY0 - F ER1 +PREFERABLE P R EH1 - F ER0 - AH0 - B AH0 L +PREFERABLE(2) P R EH1 - F R AH0 - B AH0 L +PREFERABLY P R EH1 - F ER0 - AH0 - B L IY0 +PREFERABLY(2) P R EH1 - F R AH0 - B L IY0 +PREFERED P R IH0 - F ER1 D +PREFERENCE P R EH1 - F ER0 - AH0 N S +PREFERENCE(2) P R EH1 - F R AH0 N S +PREFERENCED P R EH1 - F ER0 - AH0 N S T +PREFERENCED(2) P R EH1 - F R AH0 N S T +PREFERENCES P R EH1 - F ER0 - AH0 N - S IH0 Z +PREFERENTIAL P R EH2 - F ER0 - EH1 N - CH AH0 L +PREFERENTIAL(2) P R EH2 - F ER0 - EH1 N - SH AH0 L +PREFERENTIALLY P R EH2 - F ER0 - EH1 N - CH AH0 - L IY0 +PREFERENTIALLY(2) P R EH2 - F ER0 - EH1 N - SH AH0 - L IY0 +PREFERRED P R AH0 - F ER1 D +PREFERRED(2) P R IH0 - F ER1 D +PREFERRED(3) P R IY0 - F ER1 D +PREFERREDS P R IY0 - F ER1 - AH0 D Z +PREFERRING P R IH0 - F ER1 - IH0 NG +PREFERS P R AH0 - F ER1 Z +PREFERS(2) P R IH0 - F ER1 Z +PREFERS(3) P R IY0 - F ER1 Z +PREFIX P R IY1 - F IH0 K S +PREFRONTAL P R IY0 - F R AH1 N - T AH0 L +PREGLER P R EH1 G - L ER0 +PREGNANCIES P R EH1 G - N AH0 N - S IY0 Z +PREGNANCY P R EH1 G - N AH0 N - S IY0 +PREGNANT P R EH1 G - N AH0 N T +PREGO P R EY1 - G OW0 +PREHEIM P R EH1 - HH AY0 M +PREHISTORIC P R IY2 - HH IH0 - S T AO1 - R IH0 K +PREHN P R EH1 N +PREHOLIDAY P R IY2 - HH AO1 - L IH0 - D EY0 +PREIGNITION P R IY2 - AH0 G - N IH1 - SH AH0 N +PREIS P R IY1 Z +PREISER P R AY1 - S ER0 +PREISIG P R AY1 - Z IH0 G +PREISLER P R AY1 - S AH0 - L ER0 +PREISLER(2) P R AY1 S - L ER0 +PREISS P R AY1 S +PREJEAN P R IY2 - JH IY1 N +PREJUDGE P R IY0 - JH AH1 JH +PREJUDGED P R IY0 - JH AH1 JH D +PREJUDGMENT P R IY0 - JH AH1 JH - M AH0 N T +PREJUDICE P R EH1 - JH AH0 - D IH0 S +PREJUDICED P R EH1 - JH AH0 - D AH0 S T +PREJUDICES P R EH1 - JH AH0 - D IH0 - S IH0 Z +PREJUDICIAL P R EH2 - JH AH0 - D IH1 - SH AH0 L +PREJUDICING P R EH1 - JH AH0 - D IH0 - S IH0 NG +PREKINDERGARTEN P R IY0 - K IH1 N - D ER0 - G AA2 - D AH0 N +PRELATE P R EH1 - L IH0 T +PRELATE(2) P R IY1 - L EY2 T +PRELATES P R EH1 - L IH0 T S +PRELIM P R IH0 - L IH1 M +PRELIM(2) P R IY0 - L IH1 M +PRELIMINARIES P R IH0 - L IH1 - M AH0 - N EH2 - R IY0 Z +PRELIMINARIES(2) P R IY0 - L IH1 - M AH0 - N EH2 - R IY0 Z +PRELIMINARILY P R IH0 - L IH2 - M AH0 - N EH1 - R IH0 - L IY0 +PRELIMINARY P R IH0 - L IH1 - M AH0 - N EH2 - R IY0 +PRELIMINARY(2) P R IY0 - L IH1 - M AH0 - N EH2 - R IY0 +PRELIMS P R IY1 - L IH2 M Z +PRELL P R EH1 L +PRELLWITZ P R EH1 L - W IH0 T S +PRELUDE P R EY1 - L UW2 D +PRELUDES P R EY1 - L UW2 D Z +PREM P R EH1 M +PREMADASA P R IY2 - M AH0 - D AA1 - S AH0 +PREMARIN P R EH1 - M ER0 - IH0 N +PREMARITAL P R IY0 - M EH1 - R AH0 - T AH0 L +PREMARK P R IY0 - M AA1 R K +PREMARKET P R IY1 - M AA1 R - K AH0 T +PREMATURE P R IY2 - M AH0 - CH UH1 R +PREMATURELY P R IY2 - M AH0 - CH UH1 R - L IY0 +PREMEDITATE P R IY0 - M EH1 - D AH0 - T EY2 T +PREMEDITATED P R IY0 - M EH1 - D AH0 - T EY2 - T IH0 D +PREMEDITATION P R IY0 - M EH2 - D AH0 - T EY1 - SH AH0 N +PREMIER P R EH0 - M IH1 R +PREMIER'S P R EH0 - M IH1 R Z +PREMIER'S(2) P R IY0 - M IH1 R Z +PREMIER(2) P R IY0 - M IH1 R +PREMIERE P R EH0 - M IH1 R +PREMIERED P R EH0 - M IH1 R D +PREMIERES P R EH0 - M IH1 R Z +PREMIERING P R EH0 - M IH1 - R IH0 NG +PREMIERS P R EH0 - M IH1 R Z +PREMIERSHIP P R EH0 - M IH1 R - SH IH2 P +PREMISE P R EH1 - M IH0 S +PREMISED P R EH1 - M AH0 S T +PREMISES P R EH1 - M AH0 - S AH0 Z +PREMIUM P R IY1 - M IY0 - AH0 M +PREMIUMS P R IY1 - M IY0 - AH0 M Z +PREMO P R EH1 - M OW0 +PREMODERN P R IY0 - M AO1 - D ER0 N +PREMONITION P R EH0 - M AH0 - N IH1 - SH AH0 N +PREMONITORY P R AH0 - M AH1 - N AH0 - T ER0 - IY0 +PRENATAL P R IY0 - N EY1 - T AH0 L +PRENDERGAST P R EH1 N - D ER0 - G AE2 S T +PRENGER P R EH1 N - JH ER0 +PRENN P R EH1 N +PRENSA P R EH1 N - S AH0 +PRENTICE P R EH1 N - T IH0 S +PRENTISS P R EH1 N - T IH0 S +PRENTNIEKS P R EH1 N T - N IY0 - EH2 K S +PRENUPTIAL P R IY0 - N AH1 P - SH AH0 L +PREOCCUPATION P R IY0 - AA2 - K Y AH0 - P EY1 - SH AH0 N +PREOCCUPATIONS P R IY0 - AA2 - K Y AH0 - P EY1 - SH AH0 N Z +PREOCCUPIED P R IY0 - AA1 - K Y AH0 - P AY2 D +PREOCCUPIES P R IY0 - AA1 - K Y AH0 - P AY2 Z +PREOCCUPY P R IY0 - AA1 - K Y AH0 - P AY2 +PREORDAIN P R IY2 - AO0 R - D EY1 N +PREORDAINED P R IY2 - AO0 R - D EY1 N D +PREP P R EH1 P +PREPACKAGE P R IY0 - P AE1 - K AH0 JH +PREPACKAGED P R IY0 - P AE1 - K AH0 JH D +PREPAID P R IY0 - P EY1 D +PREPARATION P R EH2 - P ER0 - EY1 - SH AH0 N +PREPARATIONS P R EH2 - P ER0 - EY1 - SH AH0 N Z +PREPARATORY P R IH0 - P EH1 - R AH0 - T AO2 - R IY0 +PREPARATORY(2) P R EH1 - P R AH0 - T AO2 - R IY0 +PREPARE P R IY0 - P EH1 R +PREPARED P R IY0 - P EH1 R D +PREPAREDNESS P R IY0 - P EH1 - R AH0 D - N AH0 S +PREPARER P R IY0 - P EH1 - R ER0 +PREPARERS P R IY0 - P EH1 - R ER0 Z +PREPARES P R IY0 - P EH1 R Z +PREPARES(2) P ER0 - P EH1 R Z +PREPARING P R IY0 - P EH1 - R IH0 NG +PREPARING(2) P ER0 - P EH1 - R IH0 NG +PREPAY P R IY0 - P EY1 +PREPAYING P R IY0 - P EY1 - IH0 NG +PREPAYMENT P R IY0 - P EY1 - M AH0 N T +PREPAYMENTS P R IY0 - P EY1 - M AH0 N T S +PREPLANNING P R IY0 - P L AE1 - N IH0 NG +PREPONDERANCE P R IY0 - P AA1 N - D R AH0 N S +PREPOSTEROUS P R IH0 - P AA1 - S T ER0 - AH0 S +PREPOSTEROUS(2) P R IH0 - P AA1 S - T R AH0 S +PREPPED P R EH1 P T +PREPPIE P R EH1 - P IY0 +PREPPING P R EH1 - P IH0 NG +PREPPY P R EH1 - P IY0 +PRERECORD P R IY2 - R IY0 - K AO1 R D +PRERECORD(2) P R IY2 - R IH0 - K AO1 R D +PRERECORDED P R IY2 - R IY0 - K AO1 R - D IH0 D +PREREQUISITE P R IY0 - R EH1 - K W AH0 - Z AH0 T +PREREQUISITES P R IY0 - R EH1 - K W AH0 - Z AH0 T S +PREROGATIVE P R IH0 - R AA1 - G AH0 - T IH0 V +PREROGATIVE(2) P ER1 - AA1 - G AH0 - T IH0 V +PREROGATIVES P R IH0 - R AA1 - G AH0 - T IH0 V Z +PREROGATIVES(2) P ER1 - AA1 - G AH0 - T IH0 V Z +PRES P R EH1 Z +PRESAGE P R EH1 - S IH0 JH +PRESAGED P R EH1 - S IH0 JH D +PRESAGES P R EH1 - S IH0 - JH IH0 Z +PRESAGING P R EH1 - S IH0 - JH IH0 NG +PRESALE P R IY1 - S EY2 L +PRESARIO P R IH0 - S AA1 - R IY0 - OW2 +PRESBY P R EH1 S - B IY0 +PRESBY(2) P R EH1 Z - B IY0 +PRESBYTERIAN P R EH2 S - B IH0 - T IH1 - R IY0 - AH0 N +PRESBYTERIAN(2) P R EH2 Z - B IH0 - T IH1 - R IY0 - AH0 N +PRESBYTERIANS P R EH2 S - B IH0 - T IH1 - R IY0 - AH0 N Z +PRESBYTERIANS(2) P R EH2 Z - B IH0 - T IH1 - R IY0 - AH0 N Z +PRESCHEL P R EH1 - SH AH0 L +PRESCHER P R EH1 - SH ER0 +PRESCHOOL P R IY0 - S K UW1 L +PRESCHOOL(2) P R IY1 - S K UW2 L +PRESCHOOLER P R IY1 - S K UW2 - L ER0 +PRESCHOOLERS P R IY1 - S K UW2 - L ER0 Z +PRESCHOOLS P R IY0 - S K UW1 L Z +PRESCHOOLS(2) P R IY1 - S K UW2 L Z +PRESCIENCE P R IY1 - SH IY0 - AH0 N S +PRESCIENT P R EH1 - S IY0 - AH0 N T +PRESCOT P R EH1 - S K AH0 T +PRESCOTT P R EH1 - S K AA0 T +PRESCRIBE P R AH0 - S K R AY1 B +PRESCRIBE(2) P R IY0 - S K R AY1 B +PRESCRIBED P R IY0 - S K R AY1 B D +PRESCRIBER P R IY0 - S K R AY1 - B ER0 +PRESCRIBERS P R IY0 - S K R AY1 - B ER0 Z +PRESCRIBES P R IY0 - S K R AY1 B Z +PRESCRIBING P R IY0 - S K R AY1 - B IH0 NG +PRESCRIPTION P R AH0 - S K R IH1 P - SH AH0 N +PRESCRIPTIONS P R AH0 - S K R IH1 P - SH AH0 N Z +PRESENCE P R EH1 - Z AH0 N S +PRESENCES P R EH1 - Z AH0 N - S IH0 Z +PRESENT P R EH1 - Z AH0 N T +PRESENT(2) P R IY0 - Z EH1 N T +PRESENT(3) P ER0 - Z EH1 N T +PRESENTABLE P R AH0 - Z EH1 N - T AH0 - B AH0 L +PRESENTATION P R EH2 - Z AH0 N - T EY1 - SH AH0 N +PRESENTATIONS P R EH2 - Z AH0 N - T EY1 - SH AH0 N Z +PRESENTED P R IY0 - Z EH1 N - T AH0 D +PRESENTED(2) P ER0 - Z EH1 N - T AH0 D +PRESENTED(3) P R IY0 - Z EH1 - N AH0 D +PRESENTED(4) P ER0 - Z EH1 - N AH0 D +PRESENTER P R EH1 - Z AH0 N - T ER0 +PRESENTER(2) P R IY0 - Z EH1 N - T ER0 +PRESENTERS P R EH1 - Z AH0 N - T ER0 Z +PRESENTERS(2) P R IY0 - Z EH1 N - T ER0 Z +PRESENTING P R IH0 - Z EH1 N - T IH0 NG +PRESENTING(2) P R IY0 - Z EH1 N - T IH0 NG +PRESENTLY P R EH1 - Z AH0 N T - L IY0 +PRESENTMENT P R IY0 - Z EH1 N T - M AH0 N T +PRESENTS P R EH1 - Z AH0 N T S +PRESENTS(2) P R IY0 - Z EH1 N T S +PRESERVATION P R EH2 - Z ER0 - V EY1 - SH AH0 N +PRESERVATIONIST P R EH2 - Z ER0 - V EY1 - SH AH0 N - IH0 S T +PRESERVATIONISTS P R EH2 - Z ER0 - V EY1 - SH AH0 N - IH0 S T S +PRESERVATIONISTS(2) P R EH2 - Z ER0 - V EY1 - SH AH0 N - IH0 S S +PRESERVATIONISTS(3) P R EH2 - Z ER0 - V EY1 - SH AH0 N - IH0 S +PRESERVATIVE P R IY0 - Z ER1 - V AH0 - T IH0 V +PRESERVATIVES P R AH0 - Z ER1 - V AH0 - T IH0 V Z +PRESERVE P R AH0 - Z ER1 V +PRESERVE(2) P R IH0 - Z ER1 V +PRESERVE(3) P R IY0 - Z ER1 V +PRESERVED P R AH0 - Z ER1 V D +PRESERVED(2) P R IH0 - Z ER1 V D +PRESERVED(3) P R IY0 - Z ER1 V D +PRESERVER P R IY0 - Z ER1 - V ER0 +PRESERVER(2) P R IH0 - Z ER1 - V ER0 +PRESERVER(3) P R AH0 - Z ER1 - V ER0 +PRESERVERS P R IY0 - Z ER1 - V ER0 Z +PRESERVERS(2) P R AH0 - Z ER1 - V ER0 Z +PRESERVES P R AH0 - Z ER1 V Z +PRESERVES(2) P R IH0 - Z ER1 V Z +PRESERVES(3) P R IY0 - Z ER1 V Z +PRESERVING P R AH0 - Z ER1 - V IH0 NG +PRESERVING(2) P R IH0 - Z ER1 - 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M AH0 K +PRIMACY P R AY1 - M AH0 - S IY0 +PRIMAKOV P R IY1 - M AH0 - K AA0 V +PRIMAKOV(2) P R IY1 - M AH0 - K AA0 F +PRIMAL P R AY1 - M AH0 L +PRIMARIES P R AY1 - M EH2 - R IY0 Z +PRIMARIES(2) P R AY1 - M ER0 - IY0 Z +PRIMARILY P R AY0 - M EH1 - R AH0 - L IY0 +PRIMARK P R IH1 - M AA0 R K +PRIMARY P R AY1 - M EH2 - R IY0 +PRIMATE P R AY1 - M EY2 T +PRIMATES P R AY1 - M EY2 T S +PRIMAVERA P R IY0 - M AA0 - V EH1 - R AH0 +PRIME P R AY1 M +PRIME'S P R AY1 M Z +PRIMEAU P R IH0 - M OW1 +PRIMEAUX P R IH0 - M OW1 +PRIMEBANK P R AY1 M - B AE2 NG K +PRIMECO P R AY1 M - K OW2 +PRIMED P R AY1 M D +PRIMENEWS P R AY1 M - N UW1 Z +PRIMER P R AY1 - M ER0 +PRIMERICA P R IH0 - M EH1 - R IH0 - K AH0 +PRIMERICA'S P R IH0 - M EH1 - R IH0 - K AH0 Z +PRIMERS P R AY1 - M ER0 Z +PRIMES P R AY1 M Z +PRIMESTAR P R AY1 M - S T AA2 R +PRIMETIME P R AY1 M - T AY2 M +PRIMEVAL P R AY0 - M IY1 - V AH0 L +PRIMIANO P R IY2 - M IY0 - AA1 - N OW0 +PRIMING P R AY1 - M IH0 NG +PRIMITIVE P R IH1 - M AH0 - T IH0 V +PRIMITIVE(2) P R IH1 - 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S IH1 - L AH0 +PRISCO P R IY1 - S K OW0 +PRISK P R IH1 S K +PRISM P R IH1 - Z AH0 M +PRISMATIC P R IH0 Z - M AE1 - T IH0 K +PRISON P R IH1 - Z AH0 N +PRISON'S P R IH1 - Z AH0 N Z +PRISONED P R IH1 - Z AH0 N D +PRISONER P R IH1 - Z AH0 N - ER0 +PRISONER'S P R IH1 - Z AH0 N - ER0 Z +PRISONER'S(2) P R IH1 Z - N ER0 Z +PRISONER(2) P R IH1 Z - N ER0 +PRISONERS P R IH1 - Z AH0 N - ER0 Z +PRISONERS' P R IH1 - Z AH0 N - ER0 Z +PRISONERS'(2) P R IH1 Z - N ER0 Z +PRISONERS(2) P R IH1 Z - N ER0 Z +PRISONS P R IH1 - Z AH0 N Z +PRISSIE P R IH1 - S IY0 +PRISSY P R IH1 - S IY0 +PRISTINE P R IH1 - S T IY0 N +PRITCHARD P R IH1 - CH ER0 D +PRITCHETT P R IH1 - CH IH0 T +PRITHVI P R IH1 TH - V IY0 +PRITT P R IH1 T +PRITTS P R IH1 T S +PRITZ P R IH1 T S +PRITZKER P R IH1 T - S K ER0 +PRITZKERS P R IH1 T - S K ER0 Z +PRITZL P R IH1 T - Z AH0 L +PRIVACIES P R AY1 - V AH0 - S IY0 Z +PRIVACY P R AY1 - V AH0 - S IY0 +PRIVATE P R AY1 - V AH0 T +PRIVATE-EYE P R AY1 - V AH0 - T AY1 +PRIVATELY P R AY1 - V AH0 T - L IY0 +PRIVATES P R AY1 - 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V AH0 T +PRIVY P R IH1 - V IY0 +PRIX P R IY1 +PRIYAM P R IY1 - AH0 M +PRIZANT P R IY1 - Z AA0 N T +PRIZE P R AY1 Z +PRIZED P R AY1 Z D +PRIZES P R AY1 - Z AH0 Z +PRIZES(2) P R AY1 - Z IH0 Z +PRIZM P R IH1 - Z AH0 M +PRO P R OW1 +PRO'S P R OW1 Z +PROACTIVE P R OW1 - AE1 K - T IH0 V +PROACTIVELY P R OW1 - AE1 K - T IH0 V - L IY0 +PROB P R AA1 B +PROB(2) P R OW1 B +PROBABILITIES P R AA2 - B AH0 - B IH1 - L AH0 - T IY0 Z +PROBABILITY P R AA2 - B AH0 - B IH1 - L AH0 - T IY0 +PROBABLE P R AA1 - B AH0 - B AH0 L +PROBABLY P R AA1 - B AH0 - B L IY0 +PROBABLY(2) P R AA1 - B L IY0 +PROBASCO P R OW0 - B AA1 - S K OW0 +PROBATE P R OW1 - B EY2 T +PROBATION P R OW0 - B EY1 - SH AH0 N +PROBATIONARY P R OW0 - B EY1 - SH AH0 N - EH2 - R IY0 +PROBATIONER P R OW0 - B EY1 - SH AH0 N - ER0 +PROBATIONERS P R OW0 - B EY1 - SH AH0 N - ER0 Z +PROBATIVE P R OW0 - B EY1 - T IH0 V +PROBE P R OW1 B +PROBE'S P R OW1 B Z +PROBED P R OW1 B D +PROBENECID P R AA2 - B EH1 - N AH0 - S IH0 D +PROBERT P R AA1 - B ER0 T +PROBES P R OW1 B Z +PROBING P R OW1 - B IH0 NG +PROBITY P R OW1 - B AH0 - T IY0 +PROBLEM P R AA1 - B L AH0 M +PROBLEM'S P R AA1 - B L AH0 M Z +PROBLEMATIC P R AA2 - B L AH0 - M AE1 - T IH0 K +PROBLEMATICAL P R AA2 - B L AH0 - M AE1 - T IH0 - K AH0 L +PROBLEMS P R AA1 - B L AH0 M Z +PROBOSCIS P R OW0 - B AA1 - S AH0 S +PROBST P R AA1 B S T +PROBURSA P R OW2 - B ER1 - S AH0 +PROBUS P R OW1 - B IH0 S +PROCACCINI P R OW0 - K AA0 - CH IY1 - N IY0 +PROCAINE P R OW1 - K EY2 N +PROCARDIA P R OW0 - K AA1 R - D IY0 - AH0 +PROCASSINI P R AA2 - K AH0 - S IY1 - N IY0 +PROCEDURAL P R AH0 - S IY1 - JH ER0 - AH0 L +PROCEDURALLY P R AH0 - S IY1 - JH ER0 - AH0 - L IY0 +PROCEDURALLY(2) P R AH0 - S IY1 - JH R AH0 - L IY0 +PROCEDURE P R AH0 - S IY1 - JH ER0 +PROCEDURE(2) P R OW0 - S IY1 - JH ER0 +PROCEDURES P R AH0 - S IY1 - JH ER0 Z +PROCEDURES(2) P R OW0 - S IY1 - JH ER0 Z +PROCEED P R AH0 - S IY1 D +PROCEED(2) P R OW0 - S IY1 D +PROCEED(3) P ER0 - S IY1 D +PROCEEDED P R AH0 - S IY1 - D AH0 D +PROCEEDED(2) P R OW0 - S IY1 - D IH0 D +PROCEEDING P R AH0 - S IY1 - D IH0 NG +PROCEEDING(2) P R OW0 - S IY1 - D IH0 NG +PROCEEDINGS P R OW0 - S IY1 - D IH0 NG Z +PROCEEDINGS(2) P R AH0 - S IY1 - D IH0 NG Z +PROCEEDS P R AH0 - S IY1 D Z +PROCEEDS(2) P R OW0 - S IY1 D Z +PROCELL P R OW0 - S EH1 L +PROCESO P R OW2 - S EH1 - S OW0 +PROCESS P R AA1 - S EH2 S +PROCESS(2) P R AO1 - S EH2 S +PROCESSED P R AA1 - S EH0 S T +PROCESSES P R AA1 - S EH0 - S AH0 Z +PROCESSING P R AA1 - S EH0 - S IH0 NG +PROCESSION P R AH0 - S EH1 - SH AH0 N +PROCESSION(2) P R OW0 - S EH1 - SH AH0 N +PROCESSIONAL P R AH0 - S EH1 - SH AH0 - N AH0 L +PROCESSIONAL(2) P R OW0 - S EH1 - SH AH0 - N AH0 L +PROCESSIONS P R OW0 - S EH1 - SH AH0 N Z +PROCESSOR P R AA1 - S EH2 - S ER0 +PROCESSOR'S P R AA1 - S EH2 - S ER0 Z +PROCESSORS P R AA1 - S EH2 - S ER0 Z +PROCH P R AA1 K +PROCHASKA P R AH0 - HH AA1 - S K AH0 +PROCHAZKA P R AH0 - HH AA1 Z - K AH0 +PROCHNOW P R AA1 - N AW0 +PROCIDA P R OW0 - CH IY1 - D AH0 +PROCK P R AA1 K +PROCKTER P R AA1 K - T ER0 +PROCLAIM P R OW0 - K L EY1 M +PROCLAIMED P R OW0 - K L EY1 M D +PROCLAIMING P R OW0 - K L EY1 - M IH0 NG +PROCLAIMS P R OW0 - K L EY1 M Z +PROCLAMATION P R AA2 - K L AH0 - M EY1 - SH AH0 N +PROCLAMATIONS P R AA2 - K L AH0 - M EY1 - SH AH0 N Z +PROCLIVITIES P R OW0 - K L IH1 - V AH0 - T IY0 Z +PROCLIVITY P R OW0 - K L IH1 - V AH0 - T IY0 +PROCONSUL P R OW0 - K AA1 N - S AH0 L +PROCOPIO P R OW0 - K OW1 - P IY0 - OW0 +PROCORDIA P R AA0 - K AO1 R - D IY0 - AH0 +PROCRASTINATE P R AH0 - K R AE1 - S T AH0 - N EY2 T +PROCRASTINATING P R AH0 - K R AE1 - S T AH0 - N EY2 - T IH0 NG +PROCRASTINATION P R AH0 - K R AE2 - S T AH0 - N EY1 - SH AH0 N +PROCREATE P R OW1 - K R IY0 - EY1 T +PROCREATES P R OW1 - K R IY0 - EY1 T S +PROCREATION P R OW1 - K R IY0 - EY1 - SH AH0 N +PROCTER P R AA1 K - T ER0 +PROCTOR P R AA1 K - T ER0 +PROCTOR'S P R AA1 K - T ER0 Z +PROCTORS P R AA1 K - T ER0 Z +PROCTORSILEX P R AO2 K - T ER0 - S AY1 - L EH0 K S +PROCURE P R OW0 - K Y UH1 R +PROCURED P R OW0 - K Y UH1 R D +PROCUREMENT P R OW0 - K Y UH1 R - M AH0 N T +PROCUREMENTS P R OW0 - K Y UH1 R - M AH0 N T S +PROCURER P R OW0 - K Y UH1 - R ER0 +PROCURING P R OW0 - K Y UH1 - R IH0 NG +PROCYTE P R OW1 - S AY2 T +PROD P R AA1 D +PRODDED P R AA1 - D IH0 D +PRODDING P R AA1 - D IH0 NG +PRODI P R OW1 - D IY0 +PRODIGAL P R AA1 - D IH0 - G AH0 L +PRODIGIES P R AA1 - D AH0 - JH IY0 Z +PRODIGIOUS P R AH0 - D IH1 - JH AH0 S +PRODIGIOUSLY P R OW0 - D IH1 - JH IH0 S - L IY0 +PRODIGY P R AA1 - D AH0 - JH IY0 +PRODIGY'S P R AA1 - D AH0 - JH IY0 Z +PRODS P R AA1 D Z +PRODUCE P R AH0 - D UW1 S +PRODUCE(2) P R OW1 - D UW0 S +PRODUCED P R AH0 - D UW1 S T +PRODUCER P R AH0 - D UW1 - S ER0 +PRODUCER'S P R AH0 - D UW1 - S ER0 Z +PRODUCERS P R AH0 - D UW1 - S ER0 Z +PRODUCERS' P R AH0 - D UW1 - S ER0 Z +PRODUCES P R AH0 - D UW1 - S AH0 Z +PRODUCES(2) P R AH0 - D UW1 - S IH0 Z +PRODUCING P R AH0 - D UW1 - S IH0 NG +PRODUCT P R AA1 - D AH0 K T +PRODUCT'S P R AA1 - D AH0 K T S +PRODUCT'S(2) P R AA1 - D AH0 K S +PRODUCTION P R AH0 - D AH1 K - SH AH0 N +PRODUCTION'S P R OW0 - D AH1 K - SH AH0 N Z +PRODUCTION'S(2) P R AH0 - D AH1 K - SH AH0 N Z +PRODUCTION'S(3) P ER0 - D AH1 K - SH AH0 N Z +PRODUCTION(2) P R OW0 - D AH1 K - SH AH0 N +PRODUCTION(3) P ER0 - D AH1 K - SH AH0 N +PRODUCTIONS P R AH0 - D AH1 K - SH AH0 N Z +PRODUCTIONS' P R AH0 - D AH1 K - SH AH0 N Z +PRODUCTIONS'(2) P R OW0 - D AH1 K - SH AH0 N Z +PRODUCTIONS'(3) P ER0 - D AH1 K - SH AH0 N Z +PRODUCTIONS(2) P R OW0 - D AH1 K - SH AH0 N Z +PRODUCTIONS(3) P ER0 - D AH1 K - SH AH0 N Z +PRODUCTIVE P R AH0 - D AH1 K - T IH0 V +PRODUCTIVE(2) P R OW0 - D AH1 K - T IH0 V +PRODUCTIVE(3) P ER0 - D AH1 K - T IH0 V +PRODUCTIVELY P R AH0 - D AH1 K - T IH0 V - L IY0 +PRODUCTIVELY(2) P R OW0 - D AH1 K - T IH0 V - L IY0 +PRODUCTIVELY(3) P ER0 - D AH1 K - T IH0 V - L IY0 +PRODUCTIVITY P R OW2 - D AH0 K - T IH1 - V AH0 - T IY0 +PRODUCTIVITY(2) P R OW2 - D AH0 K - T IH1 - V IH0 - T IY0 +PRODUCTS P R AA1 - D AH0 K T S +PRODUCTS' P R AO1 - D AH0 K T S +PRODUCTS'(2) P R AO1 - D AH0 K S +PRODUCTS(2) P R AA1 - D AH0 K S +PRODY P OW1 - D IY0 +PROEHL P R OW1 L +PROF. P R AO1 F +PROF.(2) P R AH0 - F EH1 - S ER0 +PROFANATION P R AO2 - F AH0 - N EY1 - SH AH0 N +PROFANE P R OW0 - F EY1 N +PROFANITY P R OW0 - F AE1 - N AH0 - T IY0 +PROFESS P R AH0 - F EH1 S +PROFESSED P R AH0 - F EH1 S T +PROFESSES P R AH0 - F EH1 - S IH0 Z +PROFESSING P R AH0 - F EH1 - S IH0 NG +PROFESSION P R AH0 - F EH1 - SH AH0 N +PROFESSION'S P R AH0 - F EH1 - SH AH0 N Z +PROFESSIONAL P R AH0 - F EH1 - SH AH0 - N AH0 L +PROFESSIONALISM P R AH0 - F EH1 - SH AH0 N - AH0 - L IH2 - Z AH0 M +PROFESSIONALIZE P R AH0 - F EH1 - SH AH0 N - AH0 - L AY2 Z +PROFESSIONALIZED P R AH0 - F EH1 - SH AH0 N - AH0 - L AY2 Z D +PROFESSIONALLY P R AH0 - F EH1 - SH AH0 N - AH0 - L IY0 +PROFESSIONALLY(2) P R AH0 - F EH1 SH - N AH0 - L IY0 +PROFESSIONALS P R AH0 - F EH1 - SH AH0 - N AH0 L Z +PROFESSIONALS' P R AH0 - F EH1 - SH AH0 - N AH0 L Z +PROFESSIONS P R AH0 - F EH1 - SH AH0 N Z +PROFESSOR P R AH0 - F EH1 - S ER0 +PROFESSOR'S P R AH0 - F EH1 - S ER0 Z +PROFESSORIAL P R OW2 - F AH0 - S AO1 - R IY0 - AH0 L +PROFESSORS P R AH0 - F EH1 - S ER0 Z +PROFESSORS' P R AH0 - F EH1 - S ER0 Z +PROFESSORSHIP P R AH0 - F EH1 - S ER0 - SH IH2 P +PROFETA P R OW0 - F EH1 - T AH0 +PROFFER P R AA1 - F ER0 +PROFFERED P R AA1 - F ER0 D +PROFFERING P R AA1 - F ER0 - IH0 NG +PROFFIT P R AA1 - F IH0 T +PROFFITT P R AA1 - F IH0 T +PROFICIENCY P R AH0 - F IH1 - SH AH0 N - S IY0 +PROFICIENT P R AA0 - F IH1 - SH AH0 N T +PROFILE P R OW1 - F AY2 L +PROFILED P R OW1 - F AY2 L D +PROFILES P R OW1 - F AY2 L Z +PROFILING P R OW1 - F AY2 - L IH0 NG +PROFIT P R AA1 - F AH0 T +PROFIT(2) P R AA1 - F IH0 T +PROFITABILITY P R AA2 - F IH0 - T AH0 - B IH1 - L IH0 - T IY0 +PROFITABLE P R AA1 - F AH0 - T AH0 - B AH0 L +PROFITABLY P R AA1 - F AH0 - T AH0 - B L IY0 +PROFITED P R AA1 - F AH0 - T AH0 D +PROFITEER P R AA2 - F AH0 - T IH1 R +PROFITEERING P R AA2 - F AH0 - T IH1 - R IH0 NG +PROFITEERS P R AA2 - F AH0 - T IH1 R Z +PROFITING P R AA1 - F AH0 - T IH0 NG +PROFITS P R AA1 - F IH0 T S +PROFITT P R AA1 - F IH0 T +PROFITTAKING P R AA1 - F IH0 T - T EY2 - K IH0 NG +PROFLIGACY P R AO1 - F L IH0 - G AE2 - S IY0 +PROFLIGATE P R AO1 - F L IH0 - G EY2 T +PROFOUND P R OW0 - F AW1 N D +PROFOUNDLY P R OW0 - F AW1 N D - L IY0 +PROFS P R AA1 F S +PROFUSE P R AH0 - F Y UW1 S +PROFUSELY P R AH0 - F Y UW1 S - L IY0 +PROFUSION P R AH0 - F Y UW1 - ZH AH0 N +PROGENITOR P R OW0 - JH EH1 - N IH0 - T ER0 +PROGENY P R AA1 - JH AH0 - N IY0 +PROGESTERONE P R OW0 - JH EH1 - S T ER0 - OW2 N +PROGESTIN P R OW0 - JH EH1 - S T IH0 N +PROGLACIAL P R OW0 - G L EY1 - SH AH0 L +PROGNOSES P R AA0 G - N OW1 - S IY0 Z +PROGNOSIS P R AA0 G - N OW1 - S AH0 S +PROGNOSTICATE P R AA2 G - N AA1 - S T AH0 - K EY2 T +PROGNOSTICATED P R AA2 G - N AA1 - S T AH0 - K EY2 - T IH0 D +PROGNOSTICATER P R AA2 G - N AA1 - S T AH0 - K EY2 - T ER0 +PROGNOSTICATES P R AA2 G - N AA1 - S T AH0 - K EY2 T S +PROGNOSTICATING P R AA2 G - N AA1 - S T AH0 - K EY2 - T IH0 NG +PROGNOSTICATION P R AA0 G - N AA2 - S T AH0 - K EY1 - SH AH0 N +PROGNOSTICATIONS P R AA0 G - N AA2 - S T AH0 - K EY1 - SH AH0 N Z +PROGNOSTICATIVE P R AA2 G - N AA1 - S T AH0 - K EY2 - T IH0 V +PROGRAM P R OW1 - G R AE2 M +PROGRAM'S P R OW1 - G R AE2 M Z +PROGRAMING P R OW1 - G R AE2 - M IH0 NG +PROGRAMMABLE P R OW1 - G R AE2 - M AH0 - B AH0 L +PROGRAMMATIC P R AA2 - G R AH0 - M AE1 - T IH0 K +PROGRAMME P R OW1 - G R AE2 M +PROGRAMMED P R OW1 - G R AE2 M D +PROGRAMMER P R OW1 - G R AE2 - M ER0 +PROGRAMMERS P R OW1 - G R AE2 - M ER0 Z +PROGRAMMING P R OW1 - G R AE2 - M IH0 NG +PROGRAMS P R OW1 - G R AE2 M Z +PROGRAMS' P R OW1 - G R AE2 M Z +PROGRESS P R AA1 - G R EH2 S +PROGRESS(2) P R AH0 - G R EH1 S +PROGRESS(3) P R OW0 - G R EH1 S +PROGRESSED P R AH0 - G R EH1 S T +PROGRESSES P R AA1 - G R EH2 - S AH0 Z +PROGRESSES(2) P R OW0 - G R EH1 - S AH0 Z +PROGRESSING P R AH0 - G R EH1 - S IH0 NG +PROGRESSION P R AH0 - G R EH1 - SH AH0 N +PROGRESSIVE P R AH0 - G R EH1 - S IH0 V +PROGRESSIVELY P R AA0 - G R EH1 - S IH0 V - L IY0 +PROGRESSIVES P R AA0 - G R EH1 - S IH0 V Z +PROGRESSIVITY P R AA2 - G R EH0 - S IH1 - V AH0 - T IY0 +PROHASKA P R AH0 - HH AA1 - S K AH0 +PROHIBIT P R OW0 - HH IH1 - B AH0 T +PROHIBITED P R OW0 - HH IH1 - B AH0 - T AH0 D +PROHIBITING P R OW0 - HH IH1 - B AH0 - T IH0 NG +PROHIBITION P R OW2 - AH0 - B IH1 - SH AH0 N +PROHIBITION'S P R OW2 - AH0 - B IH1 - SH AH0 N Z +PROHIBITIONS P R OW2 - AH0 - B IH1 - SH AH0 N Z +PROHIBITIVE P R OW0 - HH IH1 - B AH0 - T IH0 V +PROHIBITIVELY P R OW0 - HH IH1 - B AH0 - T IH0 V - L IY0 +PROHIBITORY P R OW0 - HH IH1 - B AH0 - T AO2 - R IY0 +PROHIBITS P R OW0 - HH IH1 - B AH0 T S +PROIA P R OW1 - Y AH0 +PROIETTI P R OY0 - EH1 - T IY0 +PROJECT P R AA1 - JH EH0 K T +PROJECT'S P R AA1 - JH EH0 K T S +PROJECT'S(2) P R AA1 - JH EH0 K S +PROJECT(2) P R AH0 - JH EH1 K T +PROJECTED P R AH0 - JH EH1 K - T AH0 D +PROJECTILE P R AH0 - JH EH1 K - T AH0 L +PROJECTILE(2) P R AH0 - JH EH1 K - T AY0 L +PROJECTILES P R AH0 - JH EH1 K - T AH0 L Z +PROJECTILES(2) P R AH0 - JH EH1 K - T AY0 L Z +PROJECTING P R AH0 - JH EH1 K - T IH0 NG +PROJECTION P R AH0 - JH EH1 K - SH AH0 N +PROJECTIONS P R AH0 - JH EH1 K - SH AH0 N Z +PROJECTIVE P R AH0 - JH EH1 K - T IH0 V +PROJECTOR P R AH0 - JH EH1 K - T ER0 +PROJECTORS P R AH0 - JH EH1 K - T ER0 Z +PROJECTS P R AA1 - JH EH0 K T S +PROJECTS' P R AO1 - JH EH0 K T S +PROJECTS'(2) P R AO1 - JH EH0 K S +PROJECTS(2) P R AH0 - JH EH1 K T S +PROJECTS(3) P R AA1 - JH EH0 K S +PROJECTS(4) P R AH0 - JH EH1 K S +PROKOFIEV P R AA1 - K OW0 - F IY2 V +PROKOP P R OW1 - K AH0 P +PROLACTIN P R OW0 - L AE1 K - T AH0 N +PROLER P R OW1 - L ER0 +PROLETARIAN P R OW2 - L AH0 - T EH1 - R IY0 - AH0 N +PROLETARIAT P R OW2 - L AH0 - T EH1 - R IY0 - AH0 T +PROLEUKIN P R OW1 - L UW0 - K IH0 N +PROLIFERATE P R OW0 - L IH1 - F ER0 - EY2 T +PROLIFERATED P R AH0 - L IH1 - F ER0 - EY2 - T IH0 D +PROLIFERATING P R OW0 - L IH1 - F ER0 - EY2 - T IH0 NG +PROLIFERATION P R OW2 - L IH0 - F ER0 - EY1 - SH AH0 N +PROLIFIC P R OW0 - L IH1 - F IH0 K +PROLIFICALLY P R OW0 - L IH1 - F IH0 K - L IY0 +PROLINEA P R OW2 - L IH1 - N IY0 - AH0 +PROLOG P R OW0 - L AA1 G +PROLOGUE P R OW1 - L AA0 G +PROLONG P R AH0 - L AO1 NG +PROLONGED P R AH0 - L AO1 NG D +PROLONGING P R OW0 - L AO1 - NG IH0 NG +PROLONGS P R AH0 - L AO1 NG Z +PROM P R AA1 M +PROMENADE P R AA2 - M AH0 - N EY1 D +PROMETHIUM P R AH0 - M IY1 - TH IY0 - AH0 M +PROMILACIDIC P R OW0 - M IH0 - L AH0 - S IY1 - D IH0 K +PROMINENCE P R AA1 - M AH0 - N AH0 N S +PROMINENCES P R AA1 - M AH0 - N AH0 N - S AH0 Z +PROMINENT P R AA1 - M AH0 - N AH0 N T +PROMINENTLY P R AA1 - M AH0 - N AH0 N T - L IY0 +PROMISCUITY P R OW2 - M IH0 - S K Y UW1 - AH0 - T IY0 +PROMISCUITY(2) P R AA2 - M IH0 S - K Y UW1 - AH0 - T IY0 +PROMISCUOUS P R OW1 - M IH0 - S K W AH0 S +PROMISCUOUS(2) P R AA0 - M IH1 S - K Y UW0 - AH0 S +PROMISE P R AA1 - M AH0 S +PROMISED P R AA1 - M AH0 S T +PROMISES P R AA1 - M AH0 - S AH0 Z +PROMISING P R AA1 - M AH0 - S IH0 NG +PROMISSORY P R AA1 - M AH0 - S AO2 - R IY0 +PROMO P R OW1 - M OW2 +PROMOS P R OW1 - M OW2 Z +PROMOTE P R AH0 - M OW1 T +PROMOTED P R AH0 - M OW1 - T AH0 D +PROMOTER P R AH0 - M OW1 - T ER0 +PROMOTERS P R AH0 - M OW1 - T ER0 Z +PROMOTES P R AH0 - M OW1 T S +PROMOTING P R AH0 - M OW1 - T IH0 NG +PROMOTION P R AH0 - M OW1 - SH AH0 N +PROMOTION(2) P ER0 - M OW1 - SH AH0 N +PROMOTIONAL P R AH0 - M OW1 - SH AH0 - N AH0 L +PROMOTIONAL(2) P ER0 - M OW1 - SH AH0 - N AH0 L +PROMOTIONS P R AH0 - M OW1 - SH AH0 N Z +PROMOTIONS(2) P ER0 - M OW1 - SH AH0 N Z +PROMPT P R AA1 M P T +PROMPTED P R AA1 M P - T AH0 D +PROMPTED(2) P R AA1 M P - T IH0 D +PROMPTING P R AA1 M P - T IH0 NG +PROMPTLY P R AA1 M P T - L IY0 +PROMPTLY(2) P R AA1 M - P L IY0 +PROMPTS P R AA1 M P T S +PROMPTS(2) P R AA1 M P S +PROMS P R AA1 M Z +PROMSTER P R AA1 M - S T ER0 +PROMSTERS P R AA1 M - S T ER0 Z +PROMULGATE P R OW0 - M AH1 L - G EY0 T +PROMULGATED P R AA1 - M AH0 L - G EY2 - T AH0 D +PROMULGATING P R AA1 - M AH0 L - G EY2 - T IH0 NG +PROMUS P R OW1 - M AH0 S +PRONE P R OW1 N +PRONG P R AO1 NG +PRONGED P R AO1 NG D +PRONGHORN P R AO1 NG - HH AO2 R N +PRONGS P R AO1 NG Z +PRONOUN P R OW1 - N AW0 N +PRONOUNCE P R AH0 - N AW1 N S +PRONOUNCED P R AH0 - N AW1 N S T +PRONOUNCEMENT P R AH0 - N AW1 N - S M AH0 N T +PRONOUNCEMENTS P R AH0 - N AW1 N - S M AH0 N T S +PRONOUNCES P R AH0 - N AW1 N - S IH0 Z +PRONOUNCING P R AH0 - N AW1 N - S IH0 NG +PRONOUNS P R OW1 - N AW0 N Z +PRONOVOST P R OW0 - N OW1 - V OW0 S T +PRONTO P R AA1 N - T OW0 +PRONUNCIATION P R OW0 - N AH2 N - S IY0 - EY1 - SH AH0 N +PRONUNCIATION(2) P R AH0 - N AH2 N - S IY0 - EY1 - SH AH0 N +PRONUNCIATIONS P R OW0 - N AH2 N - S IY0 - EY1 - SH AH0 N Z +PRONUNCIATIONS(2) P R AH0 - N AH2 N - S IY0 - EY1 - SH AH0 N Z +PROOF P R UW1 F +PROOFED P R UW1 F T +PROOFING P R UW1 - F IH0 NG +PROOFREAD P R UW1 F - R IY2 D +PROOFREADING P R UW1 F - R IY2 - D IH0 NG +PROOFS P R UW1 F S +PROP P R AA1 P +PROPAGANDA P R AA2 - P AH0 - G AE1 N - D AH0 +PROPAGANDIST P R AA2 - P AH0 - G AE1 N - D AH0 S T +PROPAGANDISTIC P R AA2 - P AH0 - G AH0 N - D IH1 - S T IH0 K +PROPAGANDISTS P R AA2 - P AH0 - G AE1 N - D AH0 S T S +PROPAGANDISTS(2) P R AA2 - P AH0 - G AE1 N - D AH0 S S +PROPAGANDISTS(3) P R AA2 - P AH0 - G AE1 N - D AH0 S +PROPAGANDIZE P R AA2 - P AH0 - G AE1 N - D AY2 Z +PROPAGATE P R AA1 - P AH0 - G EY2 T +PROPAGATED P R AA1 - P AH0 - G EY2 - T IH0 D +PROPAGATING P R AA1 - P AH0 - G EY2 - T IH0 NG +PROPAGATION P R AA2 - P AH0 - G EY1 - SH AH0 N +PROPANE P R OW1 - P EY2 N +PROPEL P R AH0 - P EH1 L +PROPELLANT P R AH0 - P EH1 - L AH0 N T +PROPELLANTS P R OW0 - P EH1 - L AH0 N T S +PROPELLED P R AH0 - P EH1 L D +PROPELLER P R AH0 - P EH1 - L ER0 +PROPELLERS P R AH0 - P EH1 - L ER0 Z +PROPELLING P R AH0 - P EH1 - L IH0 NG +PROPELS P R AH0 - P EH1 L Z +PROPENSITIES P R AH0 - P EH1 N - S AH0 - T IY0 Z +PROPENSITY P R AH0 - P EH1 N - S IH0 - T IY0 +PROPER P R AA1 - P ER0 +PROPERLY P R AA1 - P ER0 - L IY0 +PROPERTIES P R AA1 - P ER0 - T IY0 Z +PROPERTIES' P R OW1 - P ER0 - T IY0 Z +PROPERTY P R AA1 - P ER0 - T IY0 +PROPERTY'S P R AA1 - P ER0 - T IY0 Z +PROPES P R OW1 P S +PROPFAN P R AA1 P - F AE2 N +PROPHECIES P R AA1 - F AH0 - S IY0 Z +PROPHECY P R AA1 - F AH0 - S IY0 +PROPHESIED P R AA1 - F AH0 - S AY2 D +PROPHESIED(2) P R AA1 - F AH0 - S IY2 D +PROPHESIES P R AA1 - F AH0 - S AY0 Z +PROPHET P R AA1 - F AH0 T +PROPHETESS P R AA1 - F AH0 - T AH0 S +PROPHETIC P R AH0 - F EH1 - T IH0 K +PROPHETS P R AA1 - F AH0 T S +PROPHYLACTIC P R AA2 - F IH0 - L AE1 K - T IH0 K +PROPHYLACTIC(2) P R OW2 - F IH0 - L AE1 K - T IH0 K +PROPIONIC P R OW2 - P IY0 - AA1 - N IH0 K +PROPITIOUS P R AH0 - P IH1 - SH AH0 S +PROPONENT P R AH0 - P OW1 - N AH0 N T +PROPONENTS P R AH0 - P OW1 - N AH0 N T S +PROPORTION P R AH0 - P AO1 R - SH AH0 N +PROPORTIONAL P R AH0 - P AO1 R - SH AH0 - N AH0 L +PROPORTIONALITY P R AH0 - P AO2 R - SH AH0 - N AE1 - L IH0 - T IY0 +PROPORTIONALLY P R AH0 - P AO1 R - SH AH0 N - AH0 - L IY0 +PROPORTIONALLY(2) P R AH0 - P AO1 R SH - N AH0 - L IY0 +PROPORTIONATE P R AH0 - P AO1 R - SH AH0 N - AH0 T +PROPORTIONATELY P R AH0 - P AO1 R - SH AH0 N - AH0 T - L IY0 +PROPORTIONED P R AH0 - P AO1 R - SH AH0 N D +PROPORTIONS P R AH0 - P AO1 R - SH AH0 N Z +PROPOSAL P R AH0 - P OW1 - Z AH0 L +PROPOSAL'S P R AH0 - P OW1 - Z AH0 L Z +PROPOSALS P R AH0 - P OW1 - Z AH0 L Z +PROPOSE P R AH0 - P OW1 Z +PROPOSED P R AH0 - P OW1 Z D +PROPOSES P R AH0 - P OW1 - Z IH0 Z +PROPOSING P R AH0 - P OW1 - Z IH0 NG +PROPOSITION P R AA2 - P AH0 - Z IH1 - SH AH0 N +PROPOSITIONED P R AA2 - P AH0 - Z IH1 - SH AH0 N D +PROPOSITIONS P R AA2 - P AH0 - Z IH1 - SH AH0 N Z +PROPOUND P R AH0 - P AW1 N D +PROPOUNDED P R AH0 - P AW1 N - D AH0 D +PROPP P R AA1 P +PROPPED P R AA1 P T +PROPPER P R AA1 - P ER0 +PROPPING P R AA1 - P IH0 NG +PROPPS P R AA1 P S +PROPRIETARIES P R AH0 - P R AY1 - AH0 - T EH2 - R IY0 Z +PROPRIETARY P R AH0 - P R AY1 - AH0 - T EH2 - R IY0 +PROPRIETOR P R AH0 - P R AY1 - AH0 - T ER0 +PROPRIETOR'S P R AH0 - P R AY1 - AH0 - T ER0 Z +PROPRIETORS P R AH0 - P R AY1 - AH0 - T ER0 Z +PROPRIETORSHIP P R AH0 - P R AY1 - AH0 - T ER0 - SH IH2 P +PROPRIETORSHIPS P R AH0 - P R AY1 - AH0 - T ER0 - SH IH2 P S +PROPRIETY P R AH0 - P R AY1 - AH0 - T IY0 +PROPS P R AA1 P S +PROPST P R AA1 P S T +PROPULSION P R AH0 - P AH1 L - SH AH0 N +PROPYLENE P R OW0 - P AH0 - L IY1 N +PRORATE P R OW1 - R EY1 T +PRORATED P R OW1 - R EY2 - T IH0 D +PRORATION P R OW2 - R EY1 - SH AH0 N +PROROK P R AO1 - R AH0 K +PROS P R OW1 Z +PROS' P R OW1 Z +PROSAIC P R OW0 - Z EY1 - IH0 K +PROSCAR P R AO1 S - K AA2 R +PROSCH P R AO1 SH +PROSCIA P R OW1 - S CH AH0 +PROSCRIBE P R OW0 - S K R AY1 B +PROSCRIBED P R OW0 - S K R AY1 B D +PROSCRIBES P R OW0 - S K R AY1 B Z +PROSCRIPTION P R OW0 - S K R IH1 P - SH AH0 N +PROSE P R OW1 Z +PROSECUTABLE P R AA1 - S IH0 - K Y UW2 - T AH0 - B AH0 L +PROSECUTE P R AA1 - S AH0 - K Y UW2 T +PROSECUTED P R AA1 - S IH0 - K Y UW2 - T IH0 D +PROSECUTES P R AA1 - S IH0 - K Y UW2 T S +PROSECUTING P R AA1 - S IH0 - K Y UW2 - T IH0 NG +PROSECUTION P R AA2 - S AH0 - K Y UW1 - SH AH0 N +PROSECUTION'S P R AA2 - S AH0 - K Y UW1 - SH AH0 N Z +PROSECUTIONS P R AA2 - S AH0 - K Y UW1 - SH AH0 N Z +PROSECUTOR P R AA1 - S IH0 - K Y UW2 - T ER0 +PROSECUTOR'S P R AA1 - S IH0 - K Y UW2 - T ER0 Z +PROSECUTORIAL P R AA2 - S IH0 - K Y UW0 - T AO1 - R IY0 - AH0 L +PROSECUTORS P R AA1 - S IH0 - K Y UW2 - T ER0 Z +PROSECUTORS' P R AA1 - S AH0 - K Y UW0 - T ER0 Z +PROSEK P R OW1 - S EH0 K +PROSELYTIZE P R AA1 - S AH0 - L AH0 - T AY2 Z +PROSELYTIZED P R AA1 - S AH0 - L AH0 - T AY2 Z D +PROSELYTIZING P R AA1 - S AH0 - L AH0 - T AY2 - Z IH0 NG +PROSERPINA P R OW0 - S ER1 - P AH0 - N AH0 +PROSERPINA(2) P R AA0 - S ER0 - P IY1 - N AH0 +PROSERV P R OW1 - S ER2 V +PROSHARE P R OW1 - SH EH2 R +PROSISE P R OW1 - S AY0 Z +PROSKAUER P R AO1 S - K AW0 R +PROSKE P R OW1 S K +PROSODY P R AA1 - S AH0 - D IY0 +PROSORBA P R AA0 - S AO1 R - B AH0 +PROSPECT P R AA1 - S P EH0 K T +PROSPECTING P R AO2 - S P EH1 K - T IH0 NG +PROSPECTIVE P R AH0 - S P EH1 K - T IH0 V +PROSPECTIVELY P R AH0 - S P EH1 K - T IH0 V - L IY0 +PROSPECTOR P R AO1 - S P EH2 K - T ER0 +PROSPECTORS P R AO1 - S P EH2 K - T ER0 Z +PROSPECTS P R AA1 - S P EH0 K T S +PROSPECTS(2) P R AA1 - S P EH0 K S +PROSPECTUS P R AH0 - S P EH1 K - T AH0 S +PROSPECTUSES P R AH0 - S P EH1 K - T AH0 - S IH0 Z +PROSPEKT P R AA1 - S P EH0 K T +PROSPER P R AA1 - S P ER0 +PROSPERA P R OW0 - S P EH1 - R AH0 +PROSPERED P R AA1 - S P ER0 D +PROSPERI P R OW0 - S P EH1 - R IY0 +PROSPERING P R AA1 - S P ER0 - IH0 NG +PROSPERITY P R AA0 - S P EH1 - R AH0 - T IY0 +PROSPEROUS P R AA1 - S P ER0 - AH0 S +PROSPERS P R AA1 - S P ER0 Z +PROSS P R AO1 S +PROSSER P R AO1 - S ER0 +PROST P R AA1 S T +PROSTAGLANDIN P R OW0 - S T AE0 - G L AE1 N - D IH0 N +PROSTAGLANDINS P R OW0 - S T AE0 - G L AE1 N - D IH0 N Z +PROSTATE P R AA1 - S T EY2 T +PROSTATECTOMY P R AA2 - S T EY0 - T EH1 K - T AH0 - M IY0 +PROSTATIC P R OW0 - S T AE1 - T IH0 K +PROSTHESES P R AA0 S - TH IY1 - S IY0 Z +PROSTHESIS P R AO2 S - TH EH1 - S IH0 S +PROSTHESIS(2) P R AO2 S - TH IY1 - S AH0 S +PROSTHETIC P R AA0 S - TH EH1 - T IH0 K +PROSTHETICS P R AA0 S - TH EH1 - T IH0 K S +PROSTITUTE P R AA1 - S T AH0 - T UW2 T +PROSTITUTES P R AA1 - S T AH0 - T UW2 T S +PROSTITUTION P R AA2 - S T AH0 - T UW1 - SH AH0 N +PROSTRATE P R AA1 - S T R EY0 T +PROSTRATION P R AA0 S - T R EY1 - SH AH0 N +PROTAGONIST P R OW0 - T AE1 - G AH0 - N AH0 S T +PROTAGONISTS P R OW0 - T AE1 - G AH0 - N AH0 S T S +PROTAGONISTS(2) P R OW0 - T AE1 - G AH0 - N AH0 S S +PROTAGONISTS(3) P R OW0 - T AE1 - G AH0 - N AH0 S +PROTEAN P R OW0 - T IY1 - AH0 N +PROTEAN(2) P R OW1 - T IY0 - AH0 N +PROTEASE P R OW1 - T IY0 - EY2 Z +PROTECT P R AH0 - T EH1 K T +PROTECT(2) P ER0 - T EH1 K T +PROTECTED P R AH0 - T EH1 K - T AH0 D +PROTECTED(2) P R AH0 - T EH1 K - T IH0 D +PROTECTED(3) P ER0 - T EH1 K - T IH0 D +PROTECTING P R AH0 - T EH1 K - T IH0 NG +PROTECTING(2) P ER0 - T EH1 K - T IH0 NG +PROTECTION P R AH0 - T EH1 K - SH AH0 N +PROTECTION(2) P ER0 - T EH1 K - SH AH0 N +PROTECTIONISM P R AH0 - T EH1 K - SH AH0 - N IH2 - Z AH0 M +PROTECTIONISM(2) P ER0 - T EH1 K - SH AH0 - N IH2 - Z AH0 M +PROTECTIONIST P R AH0 - T EH1 K - SH AH0 - N IH0 S T +PROTECTIONIST(2) P ER0 - T EH1 K - SH AH0 - N IH0 S T +PROTECTIONISTS P R AH0 - T EH1 K - SH AH0 - N IH0 S T S +PROTECTIONISTS(2) P R AH0 - T EH1 K - SH AH0 - N IH0 S S +PROTECTIONISTS(3) P ER0 - T EH1 K - SH AH0 - N IH0 S T S +PROTECTIONISTS(4) P ER0 - T EH1 K - SH AH0 - N IH0 S S +PROTECTIONISTS(5) P R AH0 - T EH1 K - SH AH0 - N IH0 S +PROTECTIONISTS(6) P ER0 - T EH1 K - SH AH0 - N IH0 S +PROTECTIONS P R AH0 - T EH1 K - SH AH0 N Z +PROTECTIONS(2) P ER0 - T EH1 K - SH AH0 N Z +PROTECTIVE P R AH0 - T EH1 K - T IH0 V +PROTECTIVE(2) P ER0 - T EH1 K - T IH0 V +PROTECTIVELY P R AH0 - T EH1 K - T IH0 V - L IY0 +PROTECTIVELY(2) P ER0 - T EH1 K - T IH0 V - L IY0 +PROTECTOR P R AH0 - T EH1 K - T ER0 +PROTECTORATE P R AH0 - T EH1 K - T ER0 - AH0 T +PROTECTORS P R AH0 - T EH1 K - T ER0 Z +PROTECTS P R AH0 - T EH1 K T S +PROTEGE P R OW1 - T AH0 - ZH EY2 +PROTEGES P R OW1 - T IH0 - Z EY2 Z +PROTEIN P R OW1 - T IY2 N +PROTEINS P R OW1 - T IY2 N Z +PROTEST P R OW1 - T EH2 S T +PROTEST(2) P R AH0 - T EH1 S T +PROTESTANT P R AA1 - T AH0 - S T AH0 N T +PROTESTANTISM P R AA1 - T AH0 - S T AH0 N - T IH2 - Z AH0 M +PROTESTANTS P R AA1 - T AH0 - S T AH0 N T S +PROTESTATION P R OW2 - T EH2 - S T EY1 - SH AH0 N +PROTESTATIONS P R OW2 - T EH2 - S T EY1 - SH AH0 N Z +PROTESTED P R AH0 - T EH1 - S T AH0 D +PROTESTED(2) P R OW1 - T EH2 - S T AH0 D +PROTESTER P R OW1 - T EH2 - S T ER0 +PROTESTERS P R OW1 - T EH2 - S T ER0 Z +PROTESTERS' P R OW1 - T EH2 - S T ER0 Z +PROTESTING P R AH0 - T EH1 - S T IH0 NG +PROTESTING(2) P R OW1 - T EH2 - S T IH0 NG +PROTESTORS P R OW1 - T EH2 - S T ER0 Z +PROTESTS P R OW1 - T EH2 S T S +PROTESTS(2) P R OW1 - T EH2 S S +PROTESTS(3) P R OW1 - T EH2 S +PROTESTS(4) P R AH0 - T EH1 S T S +PROTESTS(5) P R AH0 - T EH1 S S +PROTESTS(6) P R AH0 - T EH1 S +PROTHALLUS P R OW2 - TH AE1 - L AH0 S +PROTHERO P R AA1 - DH ER0 - OW2 +PROTHORAX P R OW0 - TH AO1 - R AE0 K S +PROTHRO P R OW1 - TH R OW0 +PROTIGAL P R AA1 - T IH0 - G AH0 L +PROTIUM P R OW1 - T IY0 - AH0 M +PROTO P R OW1 - T AH0 +PROTO-STIRRUP P R OW2 - T OW1 - S T ER1 - AH0 P +PROTOCOL P R OW1 - T AH0 - K AA2 L +PROTOCOL(2) P R OW1 - T AH0 - K AO2 L +PROTOCOLS P R OW1 - T AH0 - K AO2 L Z +PROTOHISTORY P R OW2 - T OW0 - HH IH1 - S T ER0 - IY0 +PROTON P R OW1 - T AA2 N +PROTON'S P R OW1 - T AA2 N Z +PROTONS P R OW1 - T AA2 N Z +PROTOTYPE P R OW1 - T AH0 - T AY2 P +PROTOTYPES P R OW1 - T AH0 - T AY2 P S +PROTOTYPICAL P R OW2 - T AH0 - T IH1 - P IH0 - K AH0 L +PROTOZOA P R OW2 - T AH0 - Z OW1 - AH0 +PROTOZOAN P R OW2 - T AH0 - Z OW1 - AH0 N +PROTOZOANS P R OW2 - T AH0 - Z OW1 - AH0 N Z +PROTRACT P R OW0 - T R AE1 K T +PROTRACT(2) P R OW1 - T R AE0 K T +PROTRACTED P R OW0 - T R AE1 K - T IH0 D +PROTROPIN P R AA1 - T R AH0 - P IH0 N +PROTROPIN(2) P R OW0 - T R OW1 - P IH0 N +PROTRUDE P R OW0 - T R UW1 D +PROTRUDING P R OW0 - T R UW1 - D IH0 NG +PROTUBERANCE P R OW0 - T UW1 - B ER0 - AH0 N S +PROTUBERANCE(2) P R AH0 - T UW1 - B ER0 - AH0 N S +PROTUBERANCES P R OW0 - T UW1 - B ER0 - AH0 N - S AH0 Z +PROTUBERANCES(2) P R AH0 - T UW1 - B ER0 - AH0 N - S AH0 Z +PROTZ P R AA1 T S +PROTZMAN P R AA1 T S - M AH0 N +PROUD P R AW1 D +PROUDER P R AW1 - D ER0 +PROUDEST P R AW1 - D AH0 S T +PROUDFIT P R AW1 D - 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B L IH0 K - L IY0 +PUBLICS P AH1 - B L IH0 K S +PUBLISH P AH1 - B L IH0 SH +PUBLISHED P AH1 - B L IH0 SH T +PUBLISHER P AH1 - B L IH0 - SH ER0 +PUBLISHER'S P AH1 - B L IH0 - SH ER0 Z +PUBLISHERS P AH1 - B L IH0 - SH ER0 Z +PUBLISHERS' P AH1 - B L IH0 - SH ER0 Z +PUBLISHES P AH1 - B L IH0 - SH AH0 Z +PUBLISHES(2) P AH1 - B L IH0 - SH IH0 Z +PUBLISHING P AH1 - B L IH0 - SH IH0 NG +PUBLISHING'S P AH1 - B L IH0 - SH IH0 NG Z +PUBLISHINGS P AH1 - B L IH0 - SH IH0 NG Z +PUBLITECH P AH1 - B L IH0 - T EH2 K +PUBLIX P AH1 - B L IH0 K S +PUBS P AH1 B Z +PUCCI P UW1 - CH IY0 +PUCCIARELLI P UW0 - CH ER0 - EH1 - L IY0 +PUCCINELLI P UW0 - CH IY0 - N EH1 - L IY0 +PUCCINI P UW0 - CH IY1 - N IY0 +PUCCIO P UW1 - CH IY0 - OW0 +PUCHALSKI P AH0 - HH AA1 L - S K IY0 +PUCHE P UW1 CH +PUCILLO P UW0 - CH IH1 - L OW0 +PUCK P AH1 K +PUCKER P AH1 - K ER0 +PUCKETT P AH1 - K IH0 T +PUCKISH P AH1 - K IH0 SH +PUDDING P UH1 - D IH0 NG +PUDDINGS P UH1 - D IH0 NG Z +PUDDLE P AH1 - D AH0 L +PUDDLES P AH1 - D AH0 L Z +PUDER P Y UW1 - 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G ER0 +PUFFER P AH1 - F ER0 +PUFFER'S P AH1 - F ER0 Z +PUFFERY P AH1 - F ER0 - IY0 +PUFFIN P AH1 - F IH2 N +PUFFING P AH1 - F IH0 NG +PUFFINS P AH1 - F IH2 N Z +PUFFS P AH1 F S +PUFFY P AH1 - F IY0 +PUGA P Y UW1 - G AH0 +PUGET P Y UW1 - JH IH0 T +PUGET-1 P Y UW1 - JH IH0 - T W AH1 N +PUGH P Y UW1 +PUGHS P Y UW1 Z +PUGLIA P AH1 G - L IY0 - AH0 +PUGLIESE P UW0 G - L IY0 - EY1 - Z IY0 +PUGLISI P UW0 G - L IY1 - S IY0 +PUGMIRE P AH1 G - M AY2 R +PUGNACIOUS P AH0 G - N AE1 - SH IH0 S +PUGSLEY P AH1 G S - L IY0 +PUGWASH P AH1 G - W AA2 SH +PUHL P AH1 L +PUIG P UW1 G +PUIPOE P UW1 - IY0 - P OW2 +PUIPOE(2) P W IY1 - P OW0 +PUJOL P Y UW1 - JH AH0 L +PUKE P Y UW1 K +PUKES P Y UW1 K S +PULASKI P Y UW0 - L AE1 S - K IY0 +PULCINI P UW0 L - CH IY1 - N IY0 +PULEO P UW1 - L IY0 - OW0 +PULFORD P UH1 L - F ER0 D +PULICE P UW1 - L IH0 S +PULIDO P UW0 - L IY1 - D OW0 +PULITZER P UH1 - L AH0 T - S ER0 +PULKRABEK P AH1 L - K R AH0 - B IH0 K +PULL P UH1 L +PULLAM P UH1 - L AH0 M +PULLAN P UH1 - L AH0 N +PULLANO P UW0 - 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S IH0 - F ER0 +PULTE P UH1 L - T IY0 +PULTZ P UH1 L T S +PULVER P UH1 L - V ER0 +PULVERIZE P AH1 L - V ER0 - AY2 Z +PULVERIZED P AH1 L - V ER0 - AY2 Z D +PULVERMACHER P AH1 L - V ER0 - M AH0 - K ER0 +PUMA P UW1 - M AH0 +PUMA'S P Y UW1 - M AH0 Z +PUMICE P AH1 - M AH0 S +PUMILIA P UW0 - M IY1 - L IY0 - AH0 +PUMING P UW1 - M IH0 NG +PUMMEL P AH1 - M AH0 L +PUMMELED P AH1 - M AH0 L D +PUMMELING P AH1 - M AH0 L - IH0 NG +PUMMILL P AH1 - M IH0 L +PUMP P AH1 M P +PUMPED P AH1 M P T +PUMPERNICKEL P AH1 M - P ER0 - N IH2 - K AH0 L +PUMPHREY P AH1 M - F R IY0 +PUMPING P AH1 M - P IH0 NG +PUMPKIN P AH1 M P - K IH0 N +PUMPKIN(2) P AH1 M - K IH0 N +PUMPKINS P AH1 M P - K AH0 N Z +PUMPKINS(2) P AH1 M - K AH0 N Z +PUMPS P AH1 M P S +PUMSIE P AH1 M - Z IY0 +PUN P AH1 N +PUNCH P AH1 N CH +PUNCHED P AH1 N CH T +PUNCHES P AH1 N - CH IH0 Z +PUNCHING P AH1 N - CH IH0 NG +PUNCHLINE P AH1 N CH - L AY2 N +PUNCHY P AH1 N - CH IY0 +PUNCTATE P AH1 N K - T EY2 T +PUNCTILIOUS P AH0 NG K - T IH1 - L IY0 - AH0 S +PUNCTUALITY P AH2 NG K - CH UW0 - AE1 - L IH0 - T IY0 +PUNCTUATE P AH1 NG K - CH UW0 - EY2 T +PUNCTUATED P AH1 NG K - CH UW0 - EY2 - T IH0 D +PUNCTUATING P AH1 NG K - CH UW0 - EY2 - D IH0 NG +PUNCTUATION P AH2 NG K - CH UW0 - EY1 - SH AH0 N +PUNCTURE P AH1 NG K - CH ER0 +PUNCTURE(2) P AH1 NG K - SH ER0 +PUNCTURED P AH1 NG K - CH ER0 D +PUNCTURED(2) P AH1 NG K - SH ER0 D +PUNCTURES P AH1 NG K - CH ER0 Z +PUNCTURES(2) P AH1 NG K - SH ER0 Z +PUNCTURING P AH1 NG K - CH ER0 - IH0 NG +PUNCTURING(2) P AH1 NG K - SH ER0 - IH0 NG +PUNDIT P AH1 N - D AH0 T +PUNDITRY P AH1 N - D AH0 - T R IY0 +PUNDITS P AH1 N - D IH0 T S +PUNDT P AH1 N T +PUNEET P UW2 - N IY1 T +PUNG P AH1 NG +PUNGENT P AH1 N - JH AH0 N T +PUNGENTLY P AH1 N - JH AH0 N T - L IY0 +PUNIC P Y UW1 - N IH0 K +PUNISH P AH1 - N IH0 SH +PUNISHABLE P AH1 - N IH0 - SH AH0 - B AH0 L +PUNISHED P AH1 - N IH0 SH T +PUNISHES P AH1 - N IH0 - SH AH0 Z +PUNISHING P AH1 - N IH0 - SH IH0 NG +PUNISHMENT P AH1 - N IH0 SH - M AH0 N T +PUNISHMENTS P AH1 - N IH0 SH - M AH0 N T S +PUNITIVE P Y UW1 - N AH0 - T IH0 V +PUNJAB P AH0 N - JH AA1 B +PUNJAB'S P AH0 N - JH AA1 B Z +PUNJAB'S(2) P AH1 N - JH AE2 B Z +PUNJAB(2) P AH1 N - JH AE2 B +PUNK P AH1 NG K +PUNKIN P AH1 NG - K IH0 N +PUNKS P AH1 NG K S +PUNKY P AH1 NG - K IY0 +PUNS P AH1 N Z +PUNT P AH1 N T +PUNTA P UH1 N - T ER0 +PUNTER P AH1 N - T ER0 +PUNTO P UW1 N - T OW2 +PUNTS P AH1 N T S +PUNXATAUNEY P AH2 NG K - S AH0 - T AA1 - N IY0 +PUNY P Y UW1 - N IY0 +PUOPOLO P W OW0 - P OW1 - L OW0 +PUP P AH1 P +PUPA P Y UW1 - P AH0 +PUPIL P Y UW1 - P AH0 L +PUPILS P Y UW1 - P AH0 L Z +PUPO P UW1 - P OW0 +PUPPET P AH1 - P AH0 T +PUPPET(2) P AH1 - P IH0 T +PUPPETEER P AH0 - P AH0 - T IY1 R +PUPPETEERS P AH0 - P AH0 - T IY1 R Z +PUPPETRY P AH1 - P AH0 - T R IY0 +PUPPETS P AH1 - P AH0 T S +PUPPETS(2) P AH1 - P IH0 T S +PUPPIES P AH1 - P IY0 Z +PUPPY P AH1 - P IY0 +PUPS P AH1 P S +PUR P ER1 +PURA P UH1 - R AH0 +PURA(2) P Y UH1 - R AH0 +PURCELL P ER0 - S EH1 L +PURCHASE P ER1 - CH AH0 S +PURCHASED P ER1 - CH AH0 S T +PURCHASER P ER1 - CH AH0 - S ER0 +PURCHASER'S P ER1 - CH AH0 - S ER0 Z +PURCHASERS P ER1 - CH AH0 - S ER0 Z +PURCHASERS' P ER1 - CH AH0 - S ER0 Z +PURCHASES P ER1 - CH AH0 - S AH0 Z +PURCHASES(2) P ER1 - CH AH0 - S IH0 Z +PURCHASING P ER1 - CH AH0 - S IH0 NG +PURDHAM P ER1 - D AH0 M +PURDIE P ER1 - D IY0 +PURDIN P ER1 - D IH0 N +PURDOM P ER1 - D AH0 M +PURDON P ER1 - D AH0 N +PURDUE P ER0 - D UW1 +PURDUM P ER1 - D AH0 M +PURDY P ER1 - D IY0 +PURE P Y UH1 R +PUREBRED P Y UH1 R - B R EH1 D +PUREBREDS P Y UH1 R - B R EH1 D Z +PUREE P Y UH0 - R EY1 +PURELY P Y UH1 R - L IY0 +PURER P Y UH1 - R ER0 +PUREST P Y UH1 - R AH0 S T +PUREX P Y UH1 - R EH0 K S +PURGASON P ER1 - G AH0 - S AH0 N +PURGATORY P ER1 - G AH0 - T AO2 - R IY0 +PURGE P ER1 JH +PURGED P ER1 JH D +PURGES P ER1 - JH IH0 Z +PURGING P ER1 - JH IH0 NG +PURI P UH1 - R IY0 +PURICELLI P UH0 - R IY0 - CH EH1 - L IY0 +PURIFICATION P Y UH2 - R AH0 - F AH0 - K EY1 - SH AH0 N +PURIFIED P Y UH1 - R AH0 - F AY2 D +PURIFIER P Y UH1 - R AH0 - F AY2 - ER0 +PURIFIERS P Y UH1 - R AH0 - F AY2 - ER0 Z +PURIFOY P Y UW1 - R IH0 - F OY0 +PURIFY P Y UH1 - R AH0 - F AY2 +PURIFYING P Y UH1 - R AH0 - F AY2 - IH0 NG +PURIM P UH1 - R AH0 M +PURIM(2) P UH1 - R IY0 M +PURINA P Y UH0 - R IH1 - N AH0 +PURINA(2) P ER0 - IY1 - N AH0 +PURINA(3) P Y UH0 - R IY1 - N AH0 +PURINGTON P Y UH1 - R IH0 NG - T AH0 N +PURINTON P Y UW1 - R IH0 N - T AH0 N +PURIS P Y UH1 - R IH0 S +PURIST P Y UH1 - R IH0 S T +PURISTIC P Y UH0 - R IH1 - S T IH0 K +PURISTS P Y UH1 - R AH0 S T S +PURISTS(2) P Y UH1 - R IH0 S T S +PURISTS(3) P Y UH1 - R IH0 S S +PURISTS(4) P Y UH1 - R IH0 S +PURITAN P Y UH1 - R AH0 - T AH0 N +PURITANICAL P Y UH2 - R AH0 - T AE1 - N IH0 - K AH0 L +PURITANISM P Y UH1 - R AH0 - T AH0 - N IH2 - Z AH0 M +PURITANISMS P Y UH1 - R AH0 - T AH0 - N IH2 - Z AH0 M Z +PURITANS P Y UH1 - R AH0 - T AH0 N Z +PURITY P Y UH1 - R AH0 - T IY0 +PURITY(2) P Y UH1 - R IH0 - T IY0 +PURK P ER1 K +PURKEY P ER1 - K IY0 +PURLOIN P ER0 - L OY1 N +PURLOINED P ER0 - L OY1 N D +PURNELL P ER1 - N AH0 L +PUROLATOR P Y UH1 - R AH0 - L EY0 - T ER0 +PUROLATOR'S P Y UH1 - R AH0 - L EY0 - T ER0 Z +PURPA P ER1 - P AH0 +PURPLE P ER1 - P AH0 L +PURPLES P ER1 - P AH0 L Z +PURPLISH P ER1 - P L IH0 SH +PURPORT P ER1 - P AO2 R T +PURPORT(2) P ER0 - P AO1 R T +PURPORTED P ER0 - P AO1 R - T IH0 D +PURPORTEDLY P ER0 - P AO2 R - T IH0 D - L IY0 +PURPORTING P ER0 - P AO1 R - T IH0 NG +PURPORTS P ER1 - P AO2 R T S +PURPORTS(2) P ER0 - P AO1 R T S +PURPOSE P ER1 - P AH0 S +PURPOSEFUL P ER1 - P AH0 S - F AH0 L +PURPOSEFULLY P ER1 - P AH0 S - F AH0 - L IY0 +PURPOSELESS P ER1 - P AH0 S - L AH0 S +PURPOSELY P ER1 - P AH0 S - L IY0 +PURPOSES P ER1 - P AH0 - S AH0 Z +PURPOSES(2) P ER1 - P AH0 - S IH0 Z +PURR P ER1 +PURRING P ER1 - IH0 NG +PURRINGTON P ER1 - IH0 NG - T AH0 N +PURRS P ER1 Z +PURSE P ER1 S +PURSED P ER1 S T +PURSEL P ER1 - S AH0 L +PURSELL P ER1 - S AH0 L +PURSER P ER1 - S ER0 +PURSES P ER1 - S IH0 Z +PURSIFULL P ER1 - S IH0 - F AH0 L +PURSLEY P ER1 S - L IY0 +PURSUANT P ER0 - S UW1 - AH0 N T +PURSUE P ER0 - S UW1 +PURSUED P ER0 - S UW1 D +PURSUER P ER0 - S UW1 - ER0 +PURSUERS P ER0 - S UW1 - ER0 Z +PURSUES P ER0 - S UW1 Z +PURSUING P ER0 - S UW1 - IH0 NG +PURSUIT P ER0 - S UW1 T +PURSUITS P ER0 - S UW1 T S +PURT P ER1 T +PURTEE P ER1 - T IY0 +PURTELL P ER1 - T AH0 L +PURTLE P ER1 - T AH0 L +PURVES P ER1 V Z +PURVEY P ER0 - V EY1 +PURVEYOR P ER0 - V EY1 - ER0 +PURVEYORS P ER0 - V EY1 - ER0 Z +PURVIANCE P UH0 R - V IY1 - AH0 N S +PURVIEW P ER1 - V Y UW2 +PURVIN P ER1 - V IH0 N +PURVIS P ER1 - V IH0 S +PURYEAR P ER2 - Y IH1 R +PUS P AH1 S +PUSAN P UW1 - S AA0 N +PUSANT P Y UW1 - S AA0 N T +PUSATERI P UW0 - S AA0 - T EH1 - R IY0 +PUSCH P AH1 SH +PUSEY P Y UW1 - Z IY0 +PUSH P UH1 SH +PUSH-UP P UH1 - SH AH2 P +PUSH-UPS P UH1 - SH AH2 P S +PUSHED P UH1 SH T +PUSHER P UH1 - SH ER0 +PUSHERS P UH1 - SH ER0 Z +PUSHES P UH1 - SH AH0 Z +PUSHES(2) P UH1 - SH IH0 Z +PUSHING P UH1 - SH IH0 NG +PUSHKIN P UH1 SH - K IH0 N +PUSHOVER P UH1 SH - OW2 - V ER0 +PUSHUP P UH1 - SH AH2 P +PUSHUPS P UH1 - SH AH2 P S +PUSHY P UH1 - SH IY0 +PUSKAR P AH1 - S K ER0 +PUSKARICH P AH1 - S K ER0 - IH0 K +PUSKAS P AH1 - S K AH0 Z +PUSS P UH1 S +PUSS(2) P AH1 S +PUSSES P UH1 - S IH0 Z +PUSSES(2) P AH1 - S IH0 Z +PUSSY P UH1 - S IY0 +PUSSYCAT P UH1 - S IY0 - K AE2 T +PUSTEJOVSKY P AH0 - S T EY0 - AA1 V S - K IY0 +PUT P UH1 T +PUT-ON P UH1 - T AA1 N +PUT-ONS P UH1 - T AA1 N Z +PUTATIVE P Y UW1 - T AH0 - T IH0 V +PUTCO P AH1 T - K OW0 +PUTCO(2) P UH1 T - K OW0 +PUTDOWN P UH1 T - D AW2 N +PUTERBAUGH P Y UW0 - T ER1 - B AO0 +PUTH P UW1 TH +PUTHOFF P AH1 T - HH AO2 F +PUTMAN P AH1 T - M AH0 N +PUTNAM P AH1 T - N AH0 M +PUTNAM'S P AH1 T - N AH0 M Z +PUTNEY P AH1 T - N IY0 +PUTRID P Y UW1 - T R IH0 D +PUTS P UH1 T S +PUTSCH P UH1 CH +PUTT P AH1 T +PUTTABLE P AH1 - T AH0 - B AH0 L +PUTTED P AH1 - T IH0 D +PUTTENBAY P AH1 - T IH0 N - B EY2 +PUTTER P AH1 - T ER0 +PUTTERER P AH1 - T ER0 - ER0 +PUTTERING P AH1 - T ER0 - IH0 NG +PUTTERMAN P AH1 - T ER0 - M AH0 N +PUTTERS P AH1 - T ER0 Z +PUTTING P AH1 - T IH0 NG +PUTTING(2) P UH1 - T IH0 NG +PUTTNAM P AH1 T - N AH0 M +PUTTNAM'S P AH1 T - N AH0 M Z +PUTTS P AH1 T S +PUTTY P AH1 - T IY0 +PUTZ P AH1 T S +PUTZIER P AH1 T - Z IY0 - ER0 +PUUSEPP P UW1 - Z AH0 P +PUZA P UW1 - Z AH0 +PUZIO P UW1 - Z IY0 - OW0 +PUZO P UW1 - Z OW0 +PUZZLE P AH1 - Z AH0 L +PUZZLED P AH1 - Z AH0 L D +PUZZLEMASTER P AH1 - Z AH0 L - M AE2 - S T ER0 +PUZZLEMENT P AH1 - Z AH0 L - M AH0 N T +PUZZLER P AH1 Z - L ER0 +PUZZLES P AH1 - Z AH0 L Z +PUZZLING P AH1 - Z AH0 L - IH0 NG +PUZZLING(2) P AH1 Z - L IH0 NG +PUZZO P UW1 - Z OW0 +PYATT P AY1 - AH0 T +PYBURN P IH1 - B ER0 N +PYE P AY1 +PYEATT P AY1 - AH0 T +PYGMALION P IH2 G - M EY1 - L Y AH0 N +PYGMIES P IH1 G - M IY0 Z +PYGMY P IH1 G - M IY0 +PYKA P IH1 - K AH0 +PYKE P AY1 K +PYLAND P AY1 - L AH0 N D +PYLANT P IH0 - L AO1 N T +PYLANT(2) P IH0 - L AE1 N T +PYLE P AY1 L +PYLES P AY1 L Z +PYLON P AY1 - L AA2 N +PYLONS P AY1 - L AA2 N Z +PYLORI P AY2 - L AO1 - R IY0 +PYLOS P AY1 - L OW0 S +PYMM P IH1 M +PYNE P AY1 N +PYNES P AY1 N Z +PYONGYANG P Y AO1 NG - Y AE1 NG +PYONGYANG'S P Y AO1 NG - Y AE1 NG Z +PYPER P AY1 - P ER0 +PYRAMID P IH1 - R AH0 - M IH0 D +PYRAMIDAL P ER0 - AE1 - M AH0 - D AH0 L +PYRAMIDS P IH1 - R AH0 - M IH0 D Z +PYRENA P IH0 - R IY1 - N AH0 +PYRENEES P IH1 - R AH0 - IY0 Z +PYRENEES' P IH1 - R AH0 - IY0 Z +PYRITE P AY1 - R AY0 T +PYRO P AY1 - R OW0 +PYRON P IH1 - R AH0 N +PYROTECHNIC P AY2 - R OW0 - T EH1 K - N IH0 K +PYROTECHNICS P AY2 - R OW0 - T EH1 K - N IH0 K S +PYROXENE P AY0 - R AA1 K - S IY0 N +PYROXENE(2) P AY1 - R AA0 K - S IY2 N +PYRRHIC P IH1 - R IH0 K +PYSHER P IH1 - SH ER0 +PYTEL P IH1 - T AH0 L +PYTHIA P IH1 - TH IY0 - AH0 +PYTHON P AY1 - TH AA0 N +PYTHON'S P AY1 - TH AA0 N Z +PYXIS P IH1 K - S IH0 S +Q K Y UW1 +Q'S K Y UW1 Z +Q. K Y UW1 +Q.'S K Y UW1 Z +Q.S K Y UW1 Z +QANA K AA1 - N AH0 +QANTAS K AE1 N - T AH0 S +QANTAS(2) K AA1 N - T AH0 S +QASR K EY1 - Z ER0 +QASR(2) K Y UW1 - EY1 - EH1 - S AA1 R +QATAR K AH2 - T AA1 R +QAWI K AA1 - W IY0 +QI K IY1 +QIAN K IY1 - AA2 N +QIAN(2) JH IH1 N +QIAO K IY0 - AW1 +QIAOTOU CH AW1 - T UW2 +QICHEN K IH1 - CH IH0 N +QIN K IH1 N +QING K IH1 NG +QINGDAO CH IH1 NG - D AW1 +QINGMING K IH1 NG - M IH1 NG +QINTEX K IH1 N - T EH2 K S +QIRYAT K IH0 R - Y AA1 T +QMAX K Y UW1 - M AE2 K S +QOM K AA1 M +QU K UW1 +QUA K W AA1 +QUACH K W AA1 CH +QUACK K W AE1 K +QUACKENBUSH K W AE1 - K AH0 N - B UH2 SH +QUACKERY K W AE1 - K ER0 - IY0 +QUACKS K W AE1 K S +QUAD K W AA1 D +QUADE K W EY1 D +QUADRA K W AE1 - D R AH0 +QUADRANT K W AA1 - D R AH0 N T +QUADRENNIAL K W AA0 - D R EH1 - N IY0 - AH0 L +QUADREX K W AA1 - D R EH0 K S +QUADRICEPS K W AA1 - D R AH0 - S EH2 P S +QUADRIPLEGIC K W AA2 - D R AH0 - P L IY1 - JH IH0 K +QUADRUPLE K W AA0 - D R UW1 - P AH0 L +QUADRUPLED K W AA0 - D R UW1 - P AH0 L D +QUADRUPLING K W AA0 - D R UW1 - P AH0 - L IH0 NG +QUADRUPLING(2) K W AA0 - D R UW1 - P L IH0 NG +QUADS K W AA1 D Z +QUAGLIA K W AE1 G - L IY0 - AH0 +QUAGMIRE K W AE1 G - M AY2 - ER0 +QUAI K IY1 +QUAI(2) K EY1 +QUAID K W EY1 D +QUAIL K W EY1 L +QUAILS K W EY1 L Z +QUAIN K W EY1 N +QUAINT K W EY1 N T +QUAINTANCE K W EY1 N - T AH0 N S +QUAINTLY K W EY1 N T - L IY0 +QUAKE K W EY1 K +QUAKE'S K W EY1 K S +QUAKENBUSH K W AH0 - K EH1 N - B UH0 SH +QUAKER K W EY1 - K ER0 +QUAKER'S K W EY1 - K ER0 Z +QUAKERS K W EY1 - K ER0 Z +QUAKES K W EY1 K S +QUAKING K W EY1 - K IH0 NG +QUAL K W AA1 L +QUALCAST K W AA1 L - K AE2 S T +QUALCOMM K W AA1 L - K AA2 M +QUALCOMM'S K W AA1 L - K AA2 M Z +QUALE K W EY1 L +QUALEX K W AA1 - L EH0 K S +QUALEY K W EY1 - L IY0 +QUALIFICATION K W AA2 - L AH0 - F AH0 - K EY1 - SH AH0 N +QUALIFICATIONS K W AA2 - L AH0 - F AH0 - K EY1 - SH AH0 N Z +QUALIFIED K W AA1 - L AH0 - F AY2 D +QUALIFIER K W AA1 - L AH0 - F AY2 - ER0 +QUALIFIERS K W AA1 - L AH0 - F AY2 - ER0 Z +QUALIFIES K W AA1 - L AH0 - F AY2 Z +QUALIFY K W AA1 - L AH0 - F AY2 +QUALIFYING K W AA1 - L AH0 - F AY2 - IH0 NG +QUALITATIVE K W AA1 - L AH0 - T EY2 - T IH0 V +QUALITATIVELY K W AA2 - L AH0 - T EY1 - T IH0 V - L IY0 +QUALITIES K W AA1 - L AH0 - T IY0 Z +QUALITY K W AA1 - L AH0 - T IY0 +QUALLEY K W AO1 - L IY0 +QUALLS K W AA1 L Z +QUALLS(2) K W EY1 L Z +QUALMS K W AA1 M Z +QUALMS(2) K W AA1 L M Z +QUAM K W AA1 M +QUAMME K W AE1 M +QUAN K W AO1 N +QUANDARIES K W AA1 N - D ER0 - IY0 Z +QUANDARY K W AA1 N - D ER0 - IY0 +QUANDT K W AO1 N D T +QUANEX K W AA1 - N EH0 K S +QUANG K W AO1 NG +QUANT K W AE1 N T +QUANTICO K W AA1 N - T IH0 - K OW0 +QUANTIFIABLE K W AA2 N - T IH0 - F AY1 - AH0 - B EH0 L +QUANTIFIABLE(2) K W AA2 - N IH0 - F AY1 - AH0 - B EH0 L +QUANTIFICATION K W AA2 N - T IH0 - F AH0 - K EY1 - SH AH0 N +QUANTIFIED K W AA1 N - T IH0 - F AY2 D +QUANTIFIED(2) K W AA1 - N IH0 - F AY2 D +QUANTIFY K W AA1 N - T IH0 - F AY2 +QUANTIFY(2) K W AA1 - N IH0 - F AY2 +QUANTIFYING K W AA1 N - T IH0 - F AY2 - IH0 NG +QUANTIFYING(2) K W AA1 - N IH0 - F AY2 - IH0 NG +QUANTITATIVE K W AA1 N - T IH0 - T EY2 - T IH0 V +QUANTITATIVE(2) K W AA1 - N IH0 - T EY2 - T IH0 V +QUANTITATIVELY K W AA2 N - T IH0 - T EY1 - T AH0 V - L IY0 +QUANTITATIVELY(2) K W AA2 - N IH0 - T EY1 - T AH0 V - L IY0 +QUANTITIES K W AA1 N - T AH0 - T IY0 Z +QUANTITIES(2) K W AA1 - N AH0 - T IY0 Z +QUANTITY K W AA1 N - T AH0 - T IY0 +QUANTITY(2) K W AA1 - N AH0 - T IY0 +QUANTUM K W AA1 N - T AH0 M +QUANTUM'S K W AA1 N - T AH0 M Z +QUANTUM'S(2) K W AA1 - N AH0 M Z +QUANTUM(2) K W AA1 - N AH0 M +QUAQUIL K W AE1 K - W IH0 L +QUARANTA K W ER0 - AE1 N - T AH0 +QUARANTE K W ER0 - AA1 N - T EY0 +QUARANTINE K W AO1 - R AH0 N - T IY2 N +QUARANTINED K W AO1 - R AH0 N - T IY2 N D +QUARANTINED(2) K W AO1 - R AH0 N - T AY2 N D +QUARANTINES K W AO1 - R AH0 N - T IY2 N Z +QUARANTINES(2) K W AO1 - R AH0 N - T AY2 N Z +QUARANTINING K W AO1 - R AH0 N - T IY2 - N IH0 NG +QUARANTINING(2) K W AO1 - R AH0 N - T AY2 - N IH0 NG +QUARK K W AA1 R K +QUARKS K W AA1 R K S +QUARLES K W AO1 R L Z +QUARNSTROM K W AO1 R N - S T R AH0 M +QUARRE K W AA1 R +QUARREL K W AO1 - R AH0 L +QUARRELED K W AO1 - R AH0 L D +QUARRELING K W AA1 - R AH0 L - IH0 NG +QUARRELING(2) K W AA1 R - L IH0 NG +QUARRELS K W AO1 - R AH0 L Z +QUARRELSOME K W AO1 - R AH0 L - S AH0 M +QUARRIES K W AO1 - R IY0 Z +QUARRY K W AO1 - R IY0 +QUARRYING K W AO1 - R IY0 - IH0 NG +QUART K W AO1 R T +QUARTARARO K W AA0 R - T AA0 - R AA1 - R OW0 +QUARTER K W AO1 R - T ER0 +QUARTER'S K W AO1 R - T ER0 Z +QUARTER'S(2) K AO1 R - T ER0 Z +QUARTER(2) K AO1 R - T ER0 +QUARTERBACK K W AO1 R - T ER0 - B AE2 K +QUARTERBACK(2) K AO1 R - T ER0 - B AE2 K +QUARTERBACKING K W AO1 R - T ER0 - B AE2 - K IH0 NG +QUARTERBACKING(2) K AO1 R - T ER0 - B AE2 - K IH0 NG +QUARTERBACKS K W AO1 R - T ER0 - B AE2 K S +QUARTERBACKS(2) K AO1 R - T ER0 - B AE2 K S +QUARTERDECK K W AO1 R - T ER0 - D EH2 K +QUARTERDECK(2) K AO1 R - T ER0 - D EH2 K +QUARTERLY K W AO1 R - T ER0 - L IY0 +QUARTERLY(2) K AO1 R - T ER0 - L IY0 +QUARTERMAN K W AO1 R - T ER0 - M AH0 N +QUARTERMAN(2) K AO1 R - T ER0 - M AH0 N +QUARTERMASTER K W AO1 R - T ER0 - M AE2 - S T ER0 +QUARTERMASTER(2) K AO1 R - T ER0 - M AE2 - S T ER0 +QUARTERS K W AO1 R - T ER0 Z +QUARTERS' K W AA1 R - T ER0 Z +QUARTERS'S K AO1 R - T ER0 Z +QUARTERS'S(2) K W AO1 R - T ER0 Z +QUARTET K W AO0 R - T EH1 T +QUARTET'S K W AO0 R - T EH1 T S +QUARTETS K W AO0 R - T EH1 T S +QUARTILE K W AO1 R - T IH0 L +QUARTO K W AO1 R - T OW0 +QUARTS K W AO1 R T S +QUARTZ K W AO1 R T S +QUASAR K W EY1 - Z AA0 R +QUASH K W AO1 SH +QUASHED K W AO1 SH T +QUASHING K W AO1 - SH IH0 NG +QUASI K W AA1 - S IY0 +QUASIMODO K AE0 - Z IY0 - M OW1 - D OW0 +QUASSIA K W AA1 - SH IY0 - AH0 +QUAST K W AA1 S T +QUATERNARY K W AA1 - T ER0 - N EH2 - R IY0 +QUATTLEBAUM K W AO1 - T AH0 L - B AW0 M +QUATTRO K W AO1 - T R OW0 +QUATTROCCHI K W AA0 - T R OW1 - K IY0 +QUATTROCHI K W AA0 - T R OW1 - K IY0 +QUATTRONE K W AA0 - T R OW1 - N IY0 +QUAVE K W EY1 V +QUAY K IY1 +QUAY(2) K EY1 +QUAYE K EY1 +QUAYE(2) K W EY1 +QUAYLE K W EY1 L +QUAYLE'S K W EY1 L Z +QUAYLES K W EY1 L Z +QUAZULU K W AA2 - Z UW1 - L UW0 +QUAZULU'S K W AA2 - Z UW1 - L UW0 Z +QUBILAH K UW1 - B IH0 - L AH0 +QUBILAH(2) K W AH1 - B IH0 - L AH0 +QUDDUS K UW1 - D UW2 S +QUE K Y UW1 +QUEALY K W IY1 - L IY0 +QUEASINESS K W IY1 - Z IY0 - N AH0 S +QUEASY K W IY1 - Z IY0 +QUEAU K W OW1 +QUEBEC K W AH0 - B EH1 K +QUEBEC'S K W IH0 - B EH1 K S +QUEBECKER K W AH0 - B EH1 - K ER0 +QUEBECKER(2) K W EH1 - B EH2 - K ER0 +QUEBECKERS K W EH1 - B EH2 - K ER0 Z +QUEBECKERS(2) K W AH0 - B EH1 - K ER0 Z +QUEBECOIS K W EH1 - B AH0 S - W AA2 +QUEBECOIS(2) K W EH1 - B EH0 - K W AA2 +QUEBECOISE K EH1 - B EH0 - K W AA2 +QUEBECOR K W EH1 - B IH0 - K AO0 R +QUEBEDEAUX K W EH1 - B IH0 - D OW0 +QUECHEE K W EH1 - CH IY0 +QUEEN K W IY1 N +QUEEN'S K W IY1 N Z +QUEENA K W IY1 - N AH0 +QUEENAN K W IY1 - N AH0 N +QUEENER K W IY1 - N ER0 +QUEENFISH K W IY1 N - F IH2 SH +QUEENFISH'S K W IY1 N - F IH2 - SH IH0 Z +QUEENIE K W IY1 - N IY0 +QUEENS K W IY1 N Z +QUEENSBERRY K W IY1 N Z - B EH2 - R IY0 +QUEENSLAND K W IY1 N Z - L AE2 N D +QUEENSWAY K W IY1 N Z - W EY2 +QUEER K W IH1 R +QUEERER K W IH1 - R ER0 +QUEERS K W IH1 R Z +QUEK K W EH1 K +QUELL K W EH1 L +QUELLED K W EH1 L D +QUELLETTE K W IH0 - L EH1 T +QUELLING K W EH1 - L IH0 NG +QUELLO K W EH1 - L OW0 +QUEMOY K W IH0 - M OY1 +QUEMOY(2) K W IY1 - M OY0 +QUENBY K W EH1 N - B IY0 +QUENCH K W EH1 N CH +QUENCHER K W EH1 N - CH ER0 +QUENCHERS K W EH1 N - CH ER0 Z +QUENCHING K W EH1 N - CH IH0 NG +QUENNEL K W EH1 - N AH0 L +QUENNEVILLE K W EY0 - N EY0 - V IH1 L +QUENTIN K W EH1 N - T IH0 N +QUENZER K W EH1 N - Z ER0 +QUERIDA K W EH0 - R IY1 - D AH0 +QUERIED K W IH1 - R IY0 D +QUERIES K W IH1 - R IY0 Z +QUERNS K W ER1 N Z +QUERRY K W EH1 - R IY0 +QUERULOUS K W EH1 - R AH0 - L AH0 S +QUERY K W IY1 - R IY0 +QUES K Y UW1 Z +QUES(2) K W EH1 S +QUESADA K W EY0 - S AA1 - D AH0 +QUESENBERRY K W IY1 - Z AH0 N - B EH0 - R IY0 +QUESINBERRY K W EH1 - S IH0 N - B EH0 - R IY0 +QUESNEL K W EY0 S - N EH1 L +QUESNELL K W EY0 S - N EY1 L +QUEST K W EH1 S T +QUESTAR K W EH1 - S T ER0 +QUESTECH K W EH1 - S T EH2 K +QUESTION K W EH1 S - CH AH0 N +QUESTION'S K W EH1 S - CH AH0 N Z +QUESTION'S(2) K W EH1 - SH AH0 N Z +QUESTION(2) K W EH1 - SH AH0 N +QUESTION-MARK K W EH1 S - CH AH0 N - M AA1 R K +QUESTIONABLE K W EH1 S - CH AH0 - N AH0 - B AH0 L +QUESTIONED K W EH1 S - CH AH0 N D +QUESTIONER K W EH1 S - CH AH0 - N ER0 +QUESTIONERS K W EH1 S - CH AH0 - N ER0 Z +QUESTIONING K W EH1 S - CH AH0 - N IH0 NG +QUESTIONINGS K W EH1 S - CH AH0 - N IH0 NG Z +QUESTIONNAIRE K W EH2 S - CH AH0 - N EH1 R +QUESTIONNAIRES K W EH2 S - CH AH0 - N EH1 R Z +QUESTIONS K W EH1 S - CH AH0 N Z +QUESTIONS' K W EH1 S - CH AH0 N Z +QUESTRAN K W EH1 S - T R AE2 N +QUESTROM K W EH1 S - T R AH0 M +QUESTS K W EH1 S T S +QUEUE K Y UW1 +QUEUES K Y UW1 Z +QUEUING K Y UW1 - IH0 NG +QUEVEDO K W EY0 - V EY1 - D OW0 +QUEZADA K W EY0 - Z AA1 - D AH0 +QUI K W IY1 +QUIBBLE K W IH1 - B AH0 L +QUIBBLES K W IH1 - B AH0 L Z +QUIBBLING K W IH1 - B AH0 L - IH0 NG +QUIBBLING(2) K W IH1 - B L IH0 NG +QUICHE K IY1 SH +QUICK K W IH1 K +QUICKEL K W IH1 - K AH0 L +QUICKEN K W IH1 - K AH0 N +QUICKENED K W IH1 - K AH0 N D +QUICKENING K W IH1 - K AH0 - N IH0 NG +QUICKENS K W IH1 - K AH0 N Z +QUICKER K W IH1 - K ER0 +QUICKEST K W IH1 - K IH0 S T +QUICKIE K W IH1 - K IY0 +QUICKLY K W IH1 K - L IY0 +QUICKNESS K W IH1 K - N AH0 S +QUICKSAND K W IH1 K - S AE2 N D +QUICKSANDS K W IH1 K - S AE2 N D Z +QUICKSILVER K W IH1 K - S IH1 L - V ER0 +QUICKTIME K W IH1 K - T AY2 M +QUID K W IH1 D +QUIESCENT K W AY0 - EH1 - S AH0 N T +QUIET K W AY1 - AH0 T +QUIETED K W AY1 - AH0 - T AH0 D +QUIETED(2) K W AY1 - AH0 - T IH0 D +QUIETER K W AY1 - AH0 - T ER0 +QUIETEST K W AY1 - AH0 - T AH0 S T +QUIETING K W AY1 - AH0 - T IH0 NG +QUIETIST K W AY1 - AH0 - T AH0 S T +QUIETLY K W AY1 - AH0 T - L IY0 +QUIETNESS K W AY1 - AH0 T - N AH0 S +QUIETS K W AY1 - AH0 T S +QUIETT K W IY1 T +QUIEVONI K W IH0 - V AO1 - N IY0 +QUIGG K W IH1 G +QUIGGLE K W IH1 - G AH0 L +QUIGLEY K W IH1 G - L IY0 +QUIJADA K W IY0 - Y AA1 - D AH0 +QUIJANO K W IY0 - Y AA1 - N OW0 +QUIK K W IH1 K +QUIKSILVER K W IH1 K - S IH1 L - V ER0 +QUILALI K W IH0 - L AA1 - L IY0 +QUILES K W IY1 - L EH0 S +QUILICI K W IY0 - L IY1 - CH IY0 +QUILL K W IH1 L +QUILLAN K W IH1 - L AH0 N +QUILLEN K W IH1 - L AH0 N +QUILLIAN K W IH1 - L Y AH0 N +QUILLIN K W IH1 - L IH0 N +QUILLING K W IH1 - L IH0 NG +QUILLMAN K W IY0 L - M AE1 N +QUILLON K W IH1 - L AH0 N +QUILMES K W IH1 L M Z +QUILT K W IH1 L T +QUILTED K W IH1 L - T IH0 D +QUILTER K W IH1 L - T ER0 +QUILTERS K W IH1 L - T ER0 Z +QUILTING K W IH1 L - T IH0 NG +QUILTS K W IH1 L T S +QUILTY K W IH1 L - T IY0 +QUIMBY K W IH1 M - B IY0 +QUIN K W IH1 N +QUINA K W IY1 - N AH0 +QUINA'S K W IY1 - N AH0 Z +QUINBY K W IH1 N - B IY0 +QUINCE K W IH1 N S +QUINCEY K W IH1 N - S IY0 +QUINCY K W IH1 N - S IY0 +QUINCY'S K W IH1 N - S IY0 Z +QUINDLEN K W IH1 N D - L AH0 N +QUINE K W AY1 N +QUININE K W AY1 - N AY2 N +QUINLAN K W IH1 N - L AH0 N +QUINLEY K W IH1 N - L IY0 +QUINLIN K W IH1 N - L IH0 N +QUINLIVAN K W IH1 N - L IH0 - V AH0 N +QUINN K W IH1 N +QUINN'S K W IH1 N Z +QUINNELL K W IH1 - N AH0 L +QUINNEY K W IH1 - N IY0 +QUINOBEQUIN K W IH2 - N OW1 - B IH0 - K W IH0 N +QUINOCO K W IH0 - N OW1 - K OW0 +QUINON K W IH1 - N AH0 N +QUINONES K W IH0 - N OW1 N Z +QUINONEZ K W IY0 - N OW1 - N EH0 Z +QUINT K W IH1 N T +QUINTA K W IH1 N - T AH0 +QUINTAL K W IH1 N - T AH0 L +QUINTANA K W IY0 N - T AE1 - N AH0 +QUINTANAR K W IH1 N - T AH0 - N ER0 +QUINTANILLA K W IH2 N - T AH0 - N IH1 - L AH0 +QUINTELA K W IY0 N - T EY1 - L AH0 +QUINTER K W IH1 N - T ER0 +QUINTERO K W IY0 N - T EH1 - R OW0 +QUINTEROS K W IY0 N - T EH1 - R OW0 Z +QUINTESSENCE K W IH0 N - T EH1 - S AH0 N S +QUINTESSENTIAL K W IH2 N - T IH0 - S EH1 N - SH AH0 L +QUINTESSENTIAL(2) K W IH2 N - T IH0 - S EH1 N - CH AH0 L +QUINTESSENTIALLY K W IH2 N - T AH0 - S EH1 N - CH AH0 - L IY0 +QUINTET K W IH0 N - T EH1 T +QUINTILE K W IH1 N - T IH0 L +QUINTILE(2) K W IH1 N - T AY2 L +QUINTIN K W IH1 N - T IH0 N +QUINTINA K W IY0 N - T IY1 - N AH0 +QUINTO K W IH1 N - T OW0 +QUINTON K W IH0 N - T AO1 N +QUINTS K W IH1 N T S +QUINTUPLE K W IH1 N - T UW0 - P AH0 L +QUINTUPLE(2) K W IH2 N - T AH1 - P AH0 L +QUINTUPLED K W IH0 N - T Y UW1 - P AH0 L D +QUINTUPLED(2) K W IH2 N - T AH1 - P AH0 L D +QUINTUPLET K W IH1 N - T AH1 - P L AH0 T +QUINTUPLETS K W IH1 N - T AH1 - P L AH0 T S +QUIP K W IH1 P +QUIPP K W IH1 P +QUIPPED K W IH1 P T +QUIPS K W IH1 P S +QUIRAM K W AO1 - R AH0 M +QUIRE K W AY1 R +QUIRIN K W IH1 - R IH0 N +QUIRING K W AY1 - R IH0 NG +QUIRION K W IH1 - R IY0 - AH0 N +QUIRK K W ER1 K +QUIRKE K W ER1 K +QUIRKS K W ER1 K S +QUIRKY K W ER1 - K IY0 +QUIROGA K W IH0 - R OW1 - G AH0 +QUIROS K W IH1 - R OW0 Z +QUIROZ K W IH1 - R OW0 Z +QUISENBERRY K W AY1 - Z AH0 N - B EH0 - R IY0 +QUISLING K W IH1 Z - L IH0 NG +QUIST K W IH1 S T +QUIST'S K W IH1 S T S +QUIT K W IH1 T +QUITE K W AY1 T +QUITO K W IY1 - T OW0 +QUITO'S K W IY1 - T OW0 Z +QUITO'S(2) K IY1 - T OW0 Z +QUITO'S(3) K IY1 - T OW2 Z +QUITO(2) K IY1 - T OW0 +QUITO(3) K IY1 - T OW2 +QUITS K W IH1 T S +QUITTER K W IH1 - T ER0 +QUITTERS K W IH1 - T ER0 Z +QUITTING K W IH1 - T IH0 NG +QUIVER K W IH1 - V ER0 +QUIVERING K W IH1 - V ER0 - IH0 NG +QUIXOTE K IY0 - HH OW1 - T IY0 +QUIXOTIC K W IH0 K - S AA1 - T IH0 K +QUIZ K W IH1 Z +QUIZARD K W IH1 - Z ER0 D +QUIZZED K W IH1 Z D +QUIZZES K W IH1 - Z IH0 Z +QUIZZICAL K W IH1 - Z AH0 - K AH0 L +QUIZZING K W IH1 - Z IH0 NG +QUO K W OW1 +QUON K W AA1 N +QUORUM K W AO1 - R AH0 M +QUORUMS K W AO1 - R AH0 M Z +QUOTA K W OW1 - T AH0 +QUOTABLE K W OW1 - T AH0 - B AH0 L +QUOTAS K W OW1 - T AH0 Z +QUOTATION K W OW0 - T EY1 - SH AH0 N +QUOTATIONS K W OW0 - T EY1 - SH AH0 N Z +QUOTE K W OW1 T +QUOTED K W OW1 - T AH0 D +QUOTED(2) K W OW1 - T IH0 D +QUOTES K W OW1 T S +QUOTIENT K W OW1 - SH AH0 N T +QUOTING K W OW1 - T IH0 NG +QUOTRON K W AA1 - T R AH0 N +QUOTRON'S K W AA1 - T R AH0 N Z +QURESHEY K UH0 - R EY1 - SH EY0 +QURESHI K UH0 - R EY1 - SH IY0 +R AA1 R +R'S AA1 R Z +R. AA1 R +R.'S AA1 R Z +R.S AA1 R Z +RA R AA1 +RAAB R AA1 B +RAAB'S R AA1 B Z +RAABE R AA1 B +RAAD R AA1 D +RAAP R AA1 P +RAASCH R AA1 SH +RAATZ R AA1 T S +RAB R AE1 B +RABAGO R AA0 - B AA1 - G OW0 +RABALAIS R AE1 - B AH0 - L EY2 +RABB R AE1 B +RABBANI R AH0 - B AE1 - N IY0 +RABBANI(2) R AH0 - B AA1 - N IY0 +RABBI R AE1 - B AY2 +RABBINICAL R AH0 - B IH1 - N IH0 - K AH0 L +RABBIS R AE1 - B AY2 Z +RABBIT R AE1 - B AH0 T +RABBIT(2) R AE1 - B IH0 T +RABBITLIKE R AE1 - B AH0 T - L AY2 K +RABBITS R AE1 - B AH0 T S +RABBITT R AE1 - B IH0 T +RABBLE R AE1 - B AH0 L +RABE R EY1 B +RABEL R AE1 - B AH0 L +RABEN R AE1 - B AH0 N +RABENOLD R AE1 - B IH0 - N OW2 L D +RABER R EY1 - B ER0 +RABES R EY1 - B IY0 Z +RABEY R EY1 - B IY0 +RABI R AA1 - B IY0 +RABID R AE1 - B IH0 D +RABID(2) R EY1 - B IH0 D +RABIDEAU R AE1 - B IH0 - D OW2 +RABIES R EY1 - B IY0 Z +RABIN R AA2 - B IY1 N +RABIN'S R AA2 - B IY1 N Z +RABINE R AH0 - B IY1 N +RABINER R AH0 - B IY1 - N ER0 +RABINOVICH R AH0 - B IH1 - N AH0 - V IH0 CH +RABINOVITZ R AH0 - B IH1 - N AH0 - V IH0 T S +RABINOWITZ R AH0 - B IH1 - N AH0 - W IH0 T S +RABKIN R AE1 B - K IH0 N +RABOBANK R AA1 - B OW0 - B AE2 NG K +RABOIN R AH0 - B OY1 N +RABOLD R AE1 - B OW0 L D +RABON R AA0 - B AO1 N +RABORN R AE1 - B ER0 N +RABOURN R AH0 - B UH1 R N +RABOY R AE1 - B OY0 +RABUCK R AE1 - B AH0 K +RABUKA R AH0 - B UW1 - K AH0 +RABUN R AE1 - B AH0 N +RABURN R AE1 - B ER0 N +RABY R EY1 - B IY0 +RACAL R AE1 - K AH0 L +RACAMIER R AE1 - K AH0 - M AY2 R +RACAMIER(2) R AH0 - K EY1 - M Y ER0 +RACANELLI R AA0 - K AA0 - N EH1 - L IY0 +RACCA R AE1 - K AH0 +RACCOON R AE0 - K UW1 N +RACCOONS R AE0 - K UW1 N Z +RACE R EY1 S +RACE'S R EY1 - S IH0 Z +RACED R EY1 S T +RACEHORSE R EY1 S - HH AO2 R S +RACEHORSES R AE1 S - HH AO2 R - S IH0 Z +RACEMES R EY0 - S IY1 M Z +RACER R EY1 - S ER0 +RACERS R EY1 - S ER0 Z +RACES R EY1 - S AH0 Z +RACES(2) R EY1 - S IH0 Z +RACETRACK R EY1 S - T R AE2 K +RACETRACKS R EY1 S - T R AE2 K S +RACETTE R AH0 - S EH1 T +RACEWAY R EY1 S - W EY2 +RACEY R EY1 - S IY0 +RACH R AE1 CH +RACHAD R AH0 - SH AA1 D +RACHAL R AE1 - K AH0 L +RACHEL R EY1 - CH AH0 L +RACHEL'S R EY1 - CH AH0 L Z +RACHELLE R AH0 - SH EH1 L +RACHELS R EY1 - CH IH0 L Z +RACHELVOLT R AH0 - SH EH1 L - V AO2 L T +RACHFORD R AE1 CH - F ER0 D +RACHI R AH1 - SH IY0 +RACHLIN R AE1 K - L IH0 N +RACHMANINOFF R AE0 K - M AE1 - N IH0 - N AO0 F +RACIAL R EY1 - SH AH0 L +RACIALISM R EY1 - SH AH0 - L IH2 - Z AH0 M +RACIALLY R EY1 - SH AH0 - L IY0 +RACICOT R AE1 - S IH0 - K AA0 T +RACINE R AH0 - S IY1 N +RACINESS R EY1 - S IY0 - N AH0 S +RACING R EY1 - S IH0 NG +RACING'S R EY1 - S IH0 NG Z +RACIOPPI R AA0 - CH OW1 - P IY0 +RACISM R EY1 - S IH2 - Z AH0 M +RACIST R EY1 - S IH0 S T +RACISTS R EY1 - S IH0 S T S +RACISTS(2) R EY1 - S IH0 S S +RACISTS(3) R EY1 - S IH0 S +RACK R AE1 K +RACKED R AE1 K T +RACKER R AE1 - K ER0 +RACKERS R AE1 - K ER0 Z +RACKET R AE1 - K IH0 T +RACKETEER R AE2 - K IH0 - T IH1 R +RACKETEERING R AE2 - K IH0 - T IH1 - R IH0 NG +RACKETEERS R AE2 - K AH0 - T IH1 R Z +RACKETS R AE1 - K AH0 T S +RACKING R AE1 - K IH0 NG +RACKLEY R AE1 K - L IY0 +RACKLIFF R AE1 K - L IH0 F +RACKLIFFE R AE1 K - L IH0 F +RACKMIL R AE1 K - M IH0 L +RACKOW R AA1 - S K OW0 +RACKS R AE1 K S +RACONTEUR R AE2 - K AA0 N - T UW1 R +RACQUET R AE1 - K IH0 T +RACQUETBALL R AE1 - K AH0 T - B AO2 L +RACQUETS R AE1 - K IH0 T S +RACY R EY1 - S IY0 +RACZ R AA1 CH +RACZKA R AA1 CH - K AH0 +RACZKOWSKI R AH0 CH - K AO1 F S - K IY0 +RACZYNSKI R AH0 - CH IH1 N - S K IY0 +RAD R AE1 D +RADA R AA1 - D AH0 +RADABAUGH R AE1 - D AH0 - B AO0 +RADAKOVICH R AH0 - D AE1 - K AH0 - V IH0 CH +RADANT R AA1 - D AH0 N T +RADAR R EY1 - D AA2 R +RADARS R EY1 - D AA2 R Z +RADATZ R AE1 - D AH0 T S +RADAVAN R AA1 - D AH0 - V AH0 N +RADBERT R AE1 D - B ER0 T +RADBORNE R AH0 D - B AO1 R N +RADBOURN R AH0 D - B UH1 R N +RADBOURNE R AH0 D - B UH1 R N +RADBURN R AE1 D - B ER0 N +RADCLIFF R AE1 D - K L IH0 F +RADCLIFFE R AE1 D - K L IH0 F +RADDATZ R AE1 - D AH0 T S +RADDE R AE1 D +RADDER R AE1 - D ER0 +RADDITZ R AE1 - D IH0 T S +RADEBAUGH R AE1 - D IH0 - B AO0 +RADECKI R AH0 - D EH1 - K IY0 +RADEL R AE1 - D AH0 L +RADELL R AA0 - D EY1 L +RADELLA R AH0 - D EH1 - L AH0 +RADEMACHER R AE1 - D IH0 - M AH0 - K ER0 +RADEMAKER R EY1 D - M EY0 - K ER0 +RADEN R EY1 - D AH0 N +RADER R EY1 - D ER0 +RADERMACHER R AE1 - D ER0 - M AH0 - K ER0 +RADFORD R AE1 D - F ER0 D +RADHA R AA1 - D AH0 +RADI R AA1 - D IY0 +RADIAL R EY1 - D IY0 - AH0 L +RADIALLY R EY1 - D IY0 - AH0 - L IY0 +RADIALS R EY1 - D IY0 - AH0 L Z +RADIANCE R EY1 - D IY0 - AH0 N S +RADIANCE(2) R EY1 - D Y AH0 N S +RADIANT R EY1 - D IY0 - AH0 N T +RADIANT(2) R EY1 - D Y AH0 N T +RADIATE R EY1 - D IY0 - AH0 T +RADIATE(2) R EY1 - D IY0 - EY2 T +RADIATED R EY1 - D IY0 - EY2 - T AH0 D +RADIATED(2) R EY1 - D IY0 - EY2 - T IH0 D +RADIATES R EY1 - D IY0 - EY2 T S +RADIATING R EY1 - D IY0 - EY2 - T IH0 NG +RADIATION R EY2 - D IY0 - EY1 - SH AH0 N +RADIATION'S R EY2 - D IY0 - EY1 - SH AH0 N Z +RADIATOR R EY1 - D IY0 - EY2 - T ER0 +RADIATORS R EY1 - D IY0 - EY2 - T ER0 Z +RADICAL R AE1 - D AH0 - K AH0 L +RADICAL(2) R AE1 - D IH0 - K AH0 L +RADICALISM R AE1 - D IH0 - K AH0 - L IH2 - Z AH0 M +RADICALIZATION R AE2 - D IH0 - K AH0 - L IH0 - Z EY1 - SH AH0 N +RADICALIZE R AE1 - D IH0 - K AH0 - L AY2 Z +RADICALIZED R AE1 - D IH0 - K AH0 - L AY2 Z D +RADICALLY R AE1 - D IH0 K - L IY0 +RADICALS R AE1 - D AH0 - K AH0 L Z +RADICALS(2) R AE1 - D IH0 - K AH0 L Z +RADICE R AE1 - D IH0 S +RADICH R AE1 - D IH0 K +RADICK R AE1 - D IH0 K +RADIN R AE1 - D IH0 N +RADINKA R AH0 - D IH1 NG - K AH0 +RADIO R EY1 - D IY0 - OW2 +RADIO'S R EY1 - D IY0 - OW2 Z +RADIOACTIVE R EY2 - D IY0 - OW0 - AE1 K - T IH0 V +RADIOACTIVITY R EY1 - D IY0 - OW0 - AE0 K - T IH1 - V AH0 - T IY0 +RADIOACTIVITY(2) R EY2 - D IY0 - OW0 - AE0 K - T IH1 - V AH0 - T IY0 +RADIOED R EY1 - D IY0 - OW2 D +RADIOGRAPHY R EY2 - D IY0 - AA1 - G R AH0 - F IY0 +RADIOLOGICAL R EY2 - D IY0 - AH0 - L AA1 - JH IH0 - K AH0 L +RADIOLOGIST R EY2 - D IY0 - AA1 - L AH0 - JH IH0 S T +RADIOLOGISTS R EY2 - D IY0 - AA1 - L AH0 - JH IH0 S T S +RADIOLOGISTS(2) R EY2 - D IY0 - AA1 - L AH0 - JH IH0 S S +RADIOLOGISTS(3) R EY2 - D IY0 - AA1 - L AH0 - JH IH0 S +RADIOLOGY R EY2 - D IY0 - AA1 - L AH0 - JH IY0 +RADIOMAN R EY1 - D IY0 - OW0 - M AE2 N +RADIOS R EY1 - D IY0 - OW2 Z +RADISH R AE1 - D IH0 SH +RADISHES R AE1 - D IH0 - SH IH0 Z +RADISSON R AE1 - D AH0 - S AH0 N +RADITZ R EY1 - D IH0 T S +RADIUM R EY1 - D IY0 - AH0 M +RADIUS R EY1 - D IY0 - AH0 S +RADKE R EY1 D - K IY0 +RADKE(2) R AE1 D - K IY0 +RADKO R AE1 D - K OW0 +RADLE R EY1 - D AH0 L +RADLER R EY1 - D AH0 L - ER0 +RADLER(2) R AE1 D - L ER0 +RADLEY R AE1 D - L IY0 +RADLIFF R AE1 D - L IH0 F +RADLOFF R AE1 D - L AO0 F +RADMAN R AE1 D - M AH0 N +RADMILLA R AE2 D - M IH1 - L AH0 +RADMUND R AE1 D - M AH0 N D +RADNER R AE1 D - N ER0 +RADNEY R AE1 D - N IY0 +RADNOR R AE1 D - N ER0 +RADO R AA1 - D OW0 +RADOLF R AE1 - D OW0 L F +RADOMSKI R AH0 - D AA1 M S - K IY0 +RADON R EY1 - D AA2 N +RADOS R AA1 - D OW0 Z +RADOSEVICH R AH0 - D AA1 - S IH0 - V IH0 CH +RADOSH R AH0 - D AO1 SH +RADOVAN R AA1 - D OW2 - V AA2 N +RADOWSKI R AH0 - D OW1 S - K IY0 +RADOWSKI'S R AH0 - D OW1 - S K IY0 Z +RADTKE R AE1 D - K IY0 +RADU R AA1 - D UW0 +RADWAN R AE1 D - W AH0 N +RADY R EY1 - D IY0 +RADZIEWICZ R AA1 - JH AH0 - V IH0 CH +RADZIK R AE1 D - Z IH0 K +RAE R EY1 +RAEBURN R EY1 - B ER0 N +RAEDER R EH1 - D ER0 +RAEDLER R EH1 D - L ER0 +RAEL R EY1 L +RAETHER R EH1 - DH ER0 +RAETZ R IY1 T S +RAF R AE1 F +RAFAEL R AA2 - F AY0 - EH1 L +RAFALE R AH0 - F EY1 L +RAFALSKI R AH0 - F AA1 L - S K IY0 +RAFE R EY1 F +RAFELGHEM R AH0 - F EH1 L - G AH0 M +RAFF R AE1 F +RAFFA R AE1 - F AH0 +RAFFAELE R AA0 - F AY0 - EH1 - L EY0 +RAFFAELLI R AA0 - F AA0 - EH1 - L IY0 +RAFFEL R AE1 - F AH0 L +RAFFENSPERGER R AE1 - F IH0 N - S P ER0 - G ER0 +RAFFERTY R AE1 - F ER0 - T IY0 +RAFFETTO R AA0 - F EH1 - T OW0 +RAFFETY R AE1 F - T IY0 +RAFFI R AE1 - F IY0 +RAFFI'S R AE1 - F IY0 Z +RAFFIELD R AE1 - F IY2 L D +RAFFISH R AE1 - F IH0 SH +RAFFLE R AE1 - F AH0 L +RAFFLES R AE1 - F AH0 L Z +RAFFO R AE1 - F OW0 +RAFI R AE1 - F IY0 +RAFI(2) R AA1 - F IY0 +RAFIK R AE1 - F IH0 K +RAFSANJANI R AE2 F - S AH0 N - JH AA1 - N IY0 +RAFT R AE1 F T +RAFTED R AE1 F - T AH0 D +RAFTED(2) R AE1 F - T IH0 D +RAFTER R AE1 F - T ER0 +RAFTERS R AE1 F - T ER0 Z +RAFTERY R AE1 F - T ER0 - IY0 +RAFTING R AE1 F - T IH0 NG +RAFTS R AE1 F T S +RAFUSE R AA0 - F UW1 - S IY0 +RAG R AE1 G +RAGAIN R AE1 - G AH0 N +RAGAN R EY1 - G AH0 N +RAGAS R AA1 - G AH0 Z +RAGAVAN R AA1 - G AH0 - V AA2 N +RAGAVAN'S R AA1 - G AH0 - V AA2 N Z +RAGE R EY1 JH +RAGED R EY1 JH D +RAGEL R EY1 - G AH0 L +RAGEN R AE1 - G AH0 N +RAGER R EY1 - G ER0 +RAGES R EY1 - JH IH0 Z +RAGGED R AE1 - G AH0 D +RAGGEDY R AE1 - G AH0 - D IY0 +RAGGIO R AA1 - JH IY0 - OW0 +RAGHIDA R AH0 - G IY1 - D AH0 +RAGIN R AE1 - JH IH0 N +RAGING R EY1 - JH IH0 NG +RAGLAND R AE1 G - L AH0 N D +RAGLE R EY1 - G AH0 L +RAGLIN R AE1 - G L IH0 N +RAGMEN R AE1 G - M AH0 N +RAGO R AA1 - G OW0 +RAGON R AA0 - G AO1 N +RAGONA R AA0 - G OW1 - N AH0 +RAGONE R AA0 - G OW1 - N IY0 +RAGONESE R AA0 - G OW0 - N EY1 - Z IY0 +RAGS R AE1 G Z +RAGSDALE R AE1 G Z - D EY2 L +RAGTAG R AE1 G - T AE2 G +RAGTIME R AE1 G - T AY2 M +RAGU R AE0 - G UW1 +RAGUCCI R AA0 - G UW1 - CH IY0 +RAGUNATHAN R AA0 - G UW1 - N AH0 - TH AA0 N +RAGUSA R AA0 - G UW1 - S AH0 +RAGWEED R AE1 G - W IY2 D +RAH R AA1 +RAHAL R AH0 - HH AA1 L +RAHE R EY1 - HH IY0 +RAHEEM R AH0 - HH IY1 M +RAHILL R AA1 - HH IH0 L +RAHILLY R AE1 - HH AH0 - L IY0 +RAHIM R AH0 - HH IY1 M +RAHL R AA1 L +RAHM R AE1 M +RAHM(2) R AA1 M +RAHMAN R AA1 - M AH0 N +RAHMAN'S R AA1 - M AH0 N Z +RAHMING R AA1 - M IH0 NG +RAHN R AE1 N +RAHRIG R AE1 - R IH0 G +RAHUL R AH0 - HH UW1 L +RAHWAY R AA1 - W EY2 +RAI R AA1 - IY0 +RAIA R AA1 - Y AH0 +RAIBLE R EY1 - B AH0 L +RAICHE R EY1 CH +RAID R EY1 D +RAIDED R EY1 - D IH0 D +RAIDER R EY1 - D ER0 +RAIDER'S R EY1 - D ER0 Z +RAIDERS R EY1 - D ER0 Z +RAIDERS' R EY1 - D ER0 Z +RAIDING R EY1 - D IH0 NG +RAIDS R EY1 D Z +RAIFF R EY1 F +RAIFORD R EY1 - F ER0 D +RAIKES R EY1 K S +RAIKO R EY1 - K OW0 +RAIL R EY1 L +RAIL'S R EY1 L Z +RAILBIKE R EY1 L - B AY2 K +RAILBIKER R EY1 L - B AY0 - K ER0 +RAILBIKERS R EY1 L - B IH0 - K ER0 Z +RAILCAR R EY1 L - K AA2 R +RAILCARS R EY1 L - K AA2 R Z +RAILE R EY1 L +RAILED R EY1 L D +RAILEY R EY1 - L IY0 +RAILING R EY1 - L IH0 NG +RAILINGS R EY1 - L IH0 NG Z +RAILROAD R EY1 L - R OW2 D +RAILROAD'S R EY1 L - R OW2 D Z +RAILROADED R EY1 L - R OW2 - D IH0 D +RAILROADING R EY1 L - R OW2 - D IH0 NG +RAILROADS R EY1 L - R OW2 D Z +RAILROADS' R EY1 L - R OW2 D Z +RAILS R EY1 L Z +RAILSBACK R EY1 L Z - B AE2 K +RAILTEX R EY1 L - T EH2 K S +RAILWAY R EY1 L - W EY2 +RAILWAY'S R EY1 L - W EY2 Z +RAILWAYS R EY1 L - W EY2 Z +RAIMER R EY1 - M ER0 +RAIMO R EY1 - M OW0 +RAIMOND R EY1 - M AH0 N D +RAIMONDI R AH0 - M OW1 N - D IY0 +RAIMONDO R EY2 - M AA1 N - D OW0 +RAIN R EY1 N +RAINA R EY1 - N AH0 +RAINBOLT R EY1 N - B OW2 L T +RAINBOW R EY1 N - B OW2 +RAINBOWS R EY1 N - B OW2 Z +RAINCOAT R EY1 N - K OW2 T +RAINCOAT'S R EY1 N - K OW2 T S +RAINCOATS R EY1 N - K OW2 T S +RAINDANCER R EY1 N - D AE2 N - S ER0 +RAINDROP R EY1 N - D R AA2 P +RAINDROPS R EY1 N - D R AA2 P S +RAINE R EY1 N +RAINED R EY1 N D +RAINER R EY1 - N ER0 +RAINERI R AH0 - N EH1 - R IY0 +RAINES R EY1 N Z +RAINEY R EY1 - N IY0 +RAINFALL R EY1 N - F AO2 L +RAINFALLS R EY1 N - F AO2 L Z +RAINFORD R AY1 N - F ER0 D +RAINFOREST R AY1 N - F AO2 - R AH0 S T +RAINFORESTS R AY1 N - F AO2 - R AH0 S T S +RAINFORESTS(2) R AY1 N - F AO2 - R AH0 S S +RAINFORESTS(3) R AY1 N - F AO2 - R AH0 S +RAINGER R AA1 - IH0 - NG ER0 +RAINIE R EY1 - N IY0 +RAINIER R EY0 - N IH1 R +RAINIEST R EY1 - N IY0 - AH0 S T +RAINING R EY1 - N IH0 NG +RAINLEY R EY1 N - L IY0 +RAINLEY'S R EY1 N - L IY0 Z +RAINMAKER R EY1 N - M EY2 - K ER0 +RAINMAN R EY1 N - M AH0 N +RAINONE R EY1 - N OW2 N +RAINS R EY1 N Z +RAINSTORM R EY1 N - S T AO2 R M +RAINSTORMS R EY1 N - S T AO2 R M Z +RAINVILLE R EY1 N - V IH2 L +RAINWATER R EY1 N - W AO2 - T ER0 +RAINY R EY1 - N IY0 +RAISA R EY1 - S AH0 +RAISA(2) R AA2 - IY1 - S AH0 +RAISANEN R AY1 - S AH0 - N AH0 N +RAISBECK R EY1 Z - B EH2 K +RAISCH R AY1 SH +RAISE R EY1 Z +RAISED R EY1 Z D +RAISER R EY1 - Z ER0 +RAISERS R EY1 - Z ER0 Z +RAISES R EY1 - Z AH0 Z +RAISES(2) R EY1 - Z IH0 Z +RAISIN R EY1 - Z IH0 N +RAISING R EY1 - Z IH0 NG +RAISINS R EY1 - Z AH0 N Z +RAISINS(2) R EY1 - Z IH0 N Z +RAISLER R EY1 Z - L ER0 +RAISON R EY1 - S AA0 N +RAISOR R EY1 - Z ER0 +RAISSA R EY1 - S AH0 +RAIT R EY1 T +RAITH R EY1 TH +RAITHEL R EY1 - TH AH0 L +RAITT R EY1 T +RAJ R AA1 ZH +RAJ(2) R AA1 JH +RAJALA R AA0 - Y AA1 - L AH0 +RAJALA(2) R AA0 - JH AA1 - L AH0 +RAJARATNAM R AA0 - JH ER0 - AA1 T - N AA0 M +RAJEWSKI R AY0 - EH1 F S - K IY0 +RAJIV R AA0 - JH IY1 V +RAJIV(2) R AA0 - ZH IY1 V +RAJKO R AA1 ZH - K OW0 +RAJKUMAR R AA1 ZH - K UW0 - M AA1 R +RAJNEESH R AA0 JH - N IY1 SH +RAJU R AA1 - Y UW0 +RAK R AE1 K +RAKE R EY1 K +RAKED R EY1 K T +RAKER R EY1 - K ER0 +RAKERS R EY1 - K ER0 Z +RAKES R EY1 K S +RAKESTRAW R EY1 K - S T R AO2 +RAKICH R AE1 - K IH0 CH +RAKING R EY1 - K IH0 NG +RAKISH R EY1 - K IH0 SH +RAKIYA R AH0 - K IY1 - AH0 +RAKOCY R AH0 - K OW1 - CH IY0 +RAKOCZY R AH0 - K OW1 - CH IY0 +RAKOFF R AE1 K - AO2 F +RAKOLTA R AH0 - K AA1 L - T AH0 +RAKOVICA R AH0 - K OW1 - V IH0 - K AH0 +RAKOW R AE1 - K AW0 +RAKOWSKI R AH0 - K AW1 S - K IY0 +RALEIGH R AO1 - L IY0 +RALEIGH'S R AO1 - L IY0 Z +RALES R EY1 L Z +RALES' R EY1 L Z +RALES'S R EY1 L - Z IH0 Z +RALESES R AH0 - L IY1 - S IH0 Z +RALEY R AE1 - L IY0 +RALF R AA1 L F +RALL R AO1 L +RALLIED R AE1 - L IY0 D +RALLIES R AE1 - L IY0 Z +RALLIS R AE1 - L IH0 S +RALLO R AE1 - L OW0 +RALLS R AO1 L Z +RALLY R AE1 - L IY0 +RALLY'S R AE1 - L IY0 Z +RALLYING R AE1 - L IY0 - IH0 NG +RALPH R AE1 L F +RALPH'S R AE1 L F S +RALPHS R AE1 L F S +RALSTON R AO1 L - S T AH0 N +RALSTON'S R AA1 L - S T AH0 N Z +RAM R AE1 M +RAMA R AA1 - M AH0 +RAMADA R AH0 - M AA1 - D AH0 +RAMADA'S R AH0 - M AA1 - D AH0 Z +RAMADAN R AE1 - M AH0 - D AH0 N +RAMADAN(2) R AA1 - M AH0 - D AA2 N +RAMAGE R AE1 - M IH0 JH +RAMAKER R AA1 - M EY0 - K ER0 +RAMALA R AH0 - M AA1 - L AH0 +RAMALLAH R AH0 - M AE1 - L AH0 +RAMALLAH(2) R AH0 - M AA1 - L AH0 +RAMAN R EY1 - M AH0 N +RAMAN(2) R AA1 - M AH0 N +RAMAPHOSA R AE2 - M AH0 - F OW1 - S AH0 +RAMASWAMI R AA2 - M AH0 S - W AA1 - M IY0 +RAMAT R AE1 - M AE0 T +RAMAT(2) R AA1 - M AH0 T +RAMBEAU R AH0 M - B OW1 +RAMBEAU(2) R AE1 M - B OW2 +RAMBERG R AE1 M - B ER0 G +RAMBERT R AE1 M - B ER0 T +RAMBIN R AE1 M - B IH0 N +RAMBLE R AE1 M - B AH0 L +RAMBLED R AE1 M - B AH0 L D +RAMBLER R AE1 M - B L ER0 +RAMBLERS R AE1 M - B L ER0 Z +RAMBLING R AE1 M - B L IH0 NG +RAMBLING(2) R AE1 M - B AH0 L - IH0 NG +RAMBO R AE1 M - B OW0 +RAMBOW R AE1 M - B OW0 +RAMBUNCTIOUS R AE0 M - B AH1 NG K - SH AH0 S +RAMEL R AE1 - M AH0 L +RAMELLA R AH0 - M EH1 - L AH0 +RAMER R EY1 - M ER0 +RAMERIZ R AA0 - M EH1 - R IY0 Z +RAMESES R AE1 - M AH0 - S IY2 Z +RAMESH R AA1 - M EH2 SH +RAMESSES R AE1 - M AH0 - S IH0 Z +RAMESSES(2) R AE1 M - S IY2 Z +RAMEY R AE1 - M IY0 +RAMI R AA1 - M IY0 +RAMIFICATION R AE2 - M AH0 - F AH0 - K EY1 - SH AH0 N +RAMIFICATIONS R AE2 - M AH0 - F AH0 - K EY1 - SH AH0 N Z +RAMIFY R AE1 - M AH0 - F AY2 +RAMIRES R AA0 - M IH1 - R EH0 S +RAMIREZ R AH0 - M IH1 - R EH0 Z +RAMIRO R AH0 - M IH1 - R OW0 +RAMLAWI R AE2 M - L AW1 - IY0 +RAMLER R AE1 M - L ER0 +RAMLOW R AE1 M - L OW2 +RAMM R AE1 M +RAMMED R AE1 M D +RAMMEL R AE1 - M AH0 L +RAMMER R AE1 - M ER0 +RAMMING R AE1 - M IH0 NG +RAMO R EY1 - M OW0 +RAMON R AH0 - M OW1 N +RAMONA R AH0 - M OW1 - N AH0 +RAMONDA R AH0 - M AA1 N - D AH0 +RAMONE R AH0 - M OW1 N +RAMOS R AA1 - M OW0 S +RAMOS(2) R EY1 - M OW0 S +RAMP R AE1 M P +RAMPAGE R AE1 M - P EY2 JH +RAMPAGED R AE0 M - P EY1 JH D +RAMPAGED(2) R AE1 M - P EY2 JH D +RAMPAGES R AE1 M - P EY2 - JH IH0 Z +RAMPAGING R AE1 M - P EY2 - JH IH0 NG +RAMPAGING(2) R AE1 M - P AH0 - JH IH0 NG +RAMPANT R AE1 M - P AH0 N T +RAMPARTS R AE1 M - P AA2 R T S +RAMPELL R AE0 M - P EH1 L +RAMPEY R AE1 M - P IY0 +RAMPING R AE1 M - P IH0 NG +RAMPLEY R AE1 M - P L IY0 +RAMPS R AE1 M P S +RAMPY R AE1 M - P IY0 +RAMQVIST R AE1 M K - V IH2 S T +RAMQVIST(2) R AE1 M - K W IH2 S T +RAMROD R AE1 M - R AA2 D +RAMS R AE1 M Z +RAMSAY R AE1 M - Z IY0 +RAMSAY(2) R AE1 M - S EY2 +RAMSBURG R AE1 M S - B ER0 G +RAMSDELL R AE1 M S - D AH0 L +RAMSDEN R AE1 M S - D AH0 N +RAMSER R AE1 M - Z ER0 +RAMSES R AE1 M - S IY2 Z +RAMSEUR R AH0 M - S ER1 +RAMSEY R AE1 M - Z IY0 +RAMSEY'S R AE1 M - Z IY0 Z +RAMSEYER R AE1 M - Z IY0 - ER0 +RAMSHACKLE R AE1 M - SH AE2 - K AH0 L +RAMSTAD R AE1 M - S T AH0 D +RAMSTEIN R AE1 M - S T AY2 N +RAMSTEIN(2) R AE1 M - S T IY2 N +RAMTEK R AE1 M - T EH2 K +RAMTHA R AE1 M - TH AH0 +RAMTHUN R AE1 M - TH AH0 N +RAMU R AA2 - M UW1 +RAMUNE R AE1 - M Y UW2 N +RAMUS R EY1 - M AH0 S +RAMZI R AE1 M - Z IY0 +RAN R AE1 N +RANA R AE1 - N AH0 +RANALLI R AH0 - N AE1 - L IY0 +RANALLO R AH0 - N AE1 - L OW0 +RANCE R AE1 N S +RANCE'S R AE1 N - S IH0 Z +RANCH R AE1 N CH +RANCH'S R AE1 N - CH IH0 Z +RANCHER R AE1 N - CH ER0 +RANCHERS R AE1 N - CH ER0 Z +RANCHES R AE1 N - CH AH0 Z +RANCHING R AE1 N - CH IH0 NG +RANCHLAND R AE1 N CH - L AH0 N D +RANCHO R AE1 N - CH OW0 +RANCID R AE1 N - S IH0 D +RANCK R AE1 NG K +RANCO R AE1 NG - K OW0 +RANCOR R AE1 NG - K ER0 +RANCOROUS R AE1 NG - K ER0 - AH0 S +RANCOROUSNESS R AE1 NG - K ER0 - AH0 S - N IH0 S +RANCOURT R AH0 N - K AO1 R T +RAND R AE1 N D +RAND'S R AE1 N D Z +RANDA R AA1 N - D AH0 +RANDA'S R AA1 N - D AH0 Z +RANDAL R AE1 N - D AH0 L +RANDALL R AE1 N - D AH0 L +RANDAZZO R AA0 N - D AA1 - Z OW0 +RANDEL R AE1 N - D AH0 L +RANDELL R AE1 N - D EH1 L +RANDER R AE1 N - D ER0 +RANDI R AE1 N - D IY0 +RANDLE R AE1 N - D AH0 L +RANDLEMAN R AE1 N - D AH0 L - M AH0 N +RANDLES R AE1 N - D AH0 L Z +RANDLETT R AE1 N D - L IH0 T +RANDO R AA1 N - D OW0 +RANDOL R AE1 N - D AH0 L +RANDOLF R AE1 N - D OW2 L F +RANDOLPH R AE1 N - D AA0 L F +RANDOM R AE1 N - D AH0 M +RANDOMIZE R AE1 N - D AH0 - M AY2 Z +RANDOMIZED R AE1 N - D AH0 - M AY2 Z D +RANDOMLY R AE1 N - D AH0 M - L IY0 +RANDOMNESS R AE1 N - D AH0 M - N AH0 S +RANDS R AE1 N D Z +RANDY R AE1 N - D IY0 +RANDY'S R AE1 N - D IY0 Z +RANEE R AE1 - N IY1 +RANERI R AA0 - N EH1 - R IY0 +RANES R EY1 N Z +RANEY R EY1 - N IY0 +RANFT R AE1 N F T +RANG R AE1 NG +RANGE R EY1 N JH +RANGED R EY1 N JH D +RANGEL R AE1 N - JH EH1 L +RANGER R EY1 N - JH ER0 +RANGER'S R EY1 N - JH ER0 Z +RANGERS R EY1 N - JH ER0 Z +RANGERS' R EY1 N - JH ER0 Z +RANGES R EY1 N - JH AH0 Z +RANGES(2) R EY1 N - JH IH0 Z +RANGING R EY1 N - JH IH0 NG +RANGOON R AE0 NG - G UW1 N +RANGOON'S R AE0 NG - G UW1 N Z +RANGY R EY1 N - JH IY0 +RANH R AE1 N +RANI R AA1 - N IY0 +RANIA R AA1 - N IY0 - AH0 +RANIERI R AE2 - N IY0 - EH1 - R IY0 +RANIERI(2) R AH0 - N IY0 - EH1 - R IY0 +RANK R AE1 NG K +RANKE R AE1 NG K +RANKED R AE1 NG K T +RANKER R AE1 NG - K ER0 +RANKERS R AE1 NG - K ER0 Z +RANKIN R AE1 NG - K IH0 N +RANKINE R AE1 NG - K AY2 N +RANKING R AE1 NG - K IH0 NG +RANKINGS R AE1 NG - K IH0 NG Z +RANKINS R AE1 NG - K IH0 N Z +RANKLE R AE1 NG - K AH0 L +RANKLED R AE1 NG - K AH0 L D +RANKLES R AE1 NG - K AH0 L Z +RANKLING R AE1 NG - K L IH0 NG +RANKS R AE1 NG K S +RANLEY R AE1 N - L IY0 +RANN R AE1 N +RANNEY R AE1 - N IY0 +RANNOW R AE1 - N OW0 +RANS R AE1 N Z +RANSACK R AE1 N - S AE2 K +RANSACKED R AE1 N - S AE2 K T +RANSACKING R AE1 N - S AE2 - K IH0 NG +RANSBOTTOM R AE1 N S - B AH0 - T AA0 M +RANSBURG R AE1 N Z - B ER0 G +RANSBURG'S R AE1 N Z - B ER0 G Z +RANSDELL R AE1 N Z - D EH1 L +RANSFORD R AE1 N S - F ER0 D +RANSIER R AE1 N - S IY0 - ER0 +RANSLEY R AE1 N S - L IY0 +RANSOM R AE1 N - S AH0 M +RANSOM'S R AE1 N - S AH0 M Z +RANSOME R AE1 N - S AH0 M +RANSOMS R AE1 N - S AH0 M Z +RANSON R AE1 N - S AH0 N +RANSONE R AE1 N - S AH0 N +RANT R AE1 N T +RANTA R AE1 N - T AH0 +RANTALA R AA0 N - T AA1 - L AH0 +RANTED R AE1 N - T AH0 D +RANTED(2) R AE1 N - T IH0 D +RANTING R AE1 N - T IH0 NG +RANTOUL R AE2 N - T UW1 L +RANTZ R AE1 N T S +RANUM R AE1 - N AH0 M +RANZ R AE1 N Z +RAO R AW1 +RAO'S R AW1 Z +RAOUL R AA0 - UW1 L +RAP R AE1 P +RAPACIOUS R AH0 - P AE1 - SH IH0 S +RAPACIOUS(2) R AH0 - P EY1 - SH IH0 S +RAPACZ R AA1 - P AH0 CH +RAPANELLI R AE2 - P AH0 - N EH1 - L IY0 +RAPAPORT R AE1 - P AH0 - P AO2 R T +RAPE R EY1 P +RAPED R EY1 P T +RAPER R EY1 - P ER0 +RAPERS R EY1 - P ER0 Z +RAPES R EY1 P S +RAPESEED R EY1 P - S IY2 D +RAPHAEL R AA2 - F AY0 - EH1 L +RAPHAELA R AE1 - F EY0 - L AH0 +RAPHALIAN R AH0 - F EY1 - L IY0 - AH0 N +RAPHEL R AE1 - F AH0 L +RAPID R AE1 - P AH0 D +RAPID(2) R AE1 - P IH0 D +RAPIDITY R AH0 - P IH1 - D AH0 - T IY0 +RAPIDLY R AE1 - P AH0 D - L IY0 +RAPIDS R AE1 - P AH0 D Z +RAPIDS(2) R AE1 - P IH0 D Z +RAPIER R EY1 - P IY0 - ER0 +RAPING R EY1 - P IH0 NG +RAPIST R EY1 - P IH0 S T +RAPIST'S R EY1 - P IH0 S T S +RAPISTS R EY1 - P IH0 S T S +RAPISTS(2) R EY1 - P IH0 S S +RAPISTS(3) R EY1 - P IH0 S +RAPKIN R AE1 P - K IH0 N +RAPLEY R AE1 P - L IY0 +RAPOCA R AH0 - P OW1 - K ER0 +RAPOPORT R AH0 - P AA1 - P AO0 R T +RAPOPORT(2) R AE1 - P AH0 - P AO0 R T +RAPOSA R AA0 - P OW1 - S AH0 +RAPOSO R AA0 - P OW1 - S OW0 +RAPOZA R AA0 - P OW1 - Z AH0 +RAPOZO R AA0 - P OW1 - Z OW0 +RAPP R AE1 P +RAPPA R AE1 - P AH0 +RAPPAHANNOCK R AE2 - P AH0 - HH AE1 - N AH0 K +RAPPAPORT R AE1 - P AH0 - P AO0 R T +RAPPE R AE1 P +RAPPED R AE1 P T +RAPPELLING R AH0 - P EH1 - L IH0 NG +RAPPER R AE1 - P ER0 +RAPPERS R AE1 - P ER0 Z +RAPPING R AE1 - P IH0 NG +RAPPOLD R AE1 - P OW2 L D +RAPPOPORT R AE1 - P AH0 - P AO0 R T +RAPPORT R AE0 - P AO1 R +RAPPROCHEMENT R AE2 - P R OW2 SH - M AA1 N +RAPS R AE1 P S +RAPSON R AE1 P - S AH0 N +RAPT R AE1 P T +RAPTIS R AH0 P - T IY1 S +RAPTLY R AE1 P T - L IY0 +RAPTOPOULOS R AE0 P - T AA1 - P OW0 - L AH0 S +RAPTOR R AE1 P - T ER0 +RAPTORIAL R AE2 P - T AO1 - R IY0 - AH0 L +RAPTORS R AE1 P - T ER0 Z +RAPTURE R AE1 P - CH ER0 +RAPTUROUS R AE1 P - CH ER0 - AH0 S +RAPUANO R AA0 - P UW0 - AA1 - N OW0 +RAQUEL R AH0 - K EH1 L +RARA R AA1 - R AH0 +RARDON R AA1 R - D AH0 N +RARE R EH1 R +RAREFIED R EH1 - R AH0 - F AY0 D +RAREFY R EH1 - R AH0 - F AY0 +RARELY R EH1 R - L IY0 +RARENESS R EH1 R - N IH0 S +RARER R EH1 - R ER0 +RAREST R EH1 - R AH0 S T +RARICK R AE1 - R IH0 K +RARITAN R EH1 - R IH0 - T AH0 N +RARITIES R EH1 - R IH0 - T IY0 Z +RARITY R EH1 - R AH0 - T IY0 +RARITY(2) R EH1 - R IH0 - T IY0 +RAS R AE1 S +RASBURY R AE1 S - B EH0 - R IY0 +RASCAL R AE1 S - K AH0 L +RASCALS R AE1 S - K AH0 L Z +RASCH R AE1 SH +RASCHE R AE1 SH +RASCHKE R AE1 SH K +RASCO R AA1 - S K OW0 +RASCOE R AE1 S - K OW0 +RASCON R AE1 S - K AH0 N +RASE R EY1 Z +RASER R EY1 - Z ER0 +RASEY R AE1 - S IY0 +RASH R AE1 SH +RASHAD R AH0 - SH AA1 D +RASHEED R AH0 - SH IY1 D +RASHES R AE1 - SH IH0 Z +RASHID R AH0 - SH IY1 D +RASHID(2) R AA0 - SH IY1 D +RASIA R AA1 - S IY0 - AH0 +RASK R AE1 S K +RASKA R AA1 S - K AH0 +RASKE R EY1 S K +RASKIN R AE1 - S K IH0 N +RASKYN R AE1 - S K IH0 N +RASMIN R AE1 S - M AH0 N +RASMIN(2) R AE1 Z - M IH0 N +RASMUS R AE1 Z - M IH0 S +RASMUSON R AE1 Z - M AH0 - S AH0 N +RASMUSSEN R AE1 S - M AH0 - S AH0 N +RASMUSSON R AE1 Z - M AH0 - S AH0 N +RASNAKE R AE1 S - N AH0 K +RASNER R AE1 S - N ER0 +RASNICK R AE1 S - N IH0 K +RASO R AA1 - S OW0 +RASOR R EY1 - Z ER0 +RASORITE R AE1 - S ER0 - AY2 T +RASP R AE1 S P +RASPBERRIES R AE1 Z - B EH2 - R IY0 Z +RASPBERRY R AE1 Z - B EH2 - R IY0 +RASPED R AE1 S P T +RASPS R AE1 S P S +RASPUTIN R AH0 - S P Y UW1 - T IH0 N +RASPUTIN'S R AE0 S - P Y UW1 - T AH0 N Z +RASPY R AE1 S - P IY0 +RAST R AE1 S T +RASTER R AE1 - S T ER0 +RASTEROP R AE1 - S T ER0 - AA2 P +RASTEROPS R AE1 - S T ER0 - AA2 P S +RASTETTER R EY1 - S T IH0 - T ER0 +RASTUS R AE1 - S T AH0 S +RAT R AE1 T +RAT-A-TAT R AE1 - T AH0 - T AE1 T +RATA R AE1 - T AH0 +RATAJCZAK R AE1 - T AH0 - CH EH0 K +RATATISEMENT R AE1 - T AH0 - T AY2 Z - M AH0 N T +RATATISEMENTS R AE1 - T AH0 - T AY2 Z - M AH0 N T S +RATAY R AE1 - T EY0 +RATCHET R AE0 T - CH AH0 T +RATCHET R AE1 - CH AH0 T +RATCHETED R AE0 T - CH AH0 - T AH0 D +RATCHETED R AE1 - CH AH0 - T IH0 D +RATCHETING R AE1 - CH AH0 - T IH0 NG +RATCHFORD R AE1 CH - F ER0 D +RATCLIFF R AE1 T K - L IH0 F +RATCLIFFE R AE1 T K - L IH0 F +RATE R EY1 T +RATE'S R EY1 T S +RATED R EY1 - T AH0 D +RATED(2) R EY1 - T IH0 D +RATELIFF R AE1 T - L IH0 F +RATEPAYER R EY1 T - P EY2 - ER0 +RATEPAYERS R EY1 T - P EY2 - ER0 Z +RATEPAYERS' R EY1 T - P EY2 - ER0 Z +RATER R EY1 - T ER0 +RATERS R EY1 - T ER0 Z +RATES R EY1 T S +RATH R AE1 TH +RATHBONE R AE1 TH - B OW2 N +RATHBUN R AE1 TH - B AH0 N +RATHBURN R AE1 TH - B ER0 N +RATHBURNE R AE1 TH - B ER0 N +RATHBURNE'S R AE1 TH - B ER0 N Z +RATHE R EY1 DH +RATHEL R AE1 - TH AH0 L +RATHER R AE1 - DH ER0 +RATHER'S R AE1 - DH ER0 Z +RATHER(2) R AH1 - DH ER0 +RATHERT R AE1 - TH ER0 T +RATHGEBER R AE1 TH - G IH0 - B ER0 +RATHJE R AE1 TH JH +RATHJEN R AE1 TH - JH AH0 N +RATHKE R AE1 TH K +RATHMAN R AE1 TH - M AH0 N +RATHMANN R AE1 TH - M AH0 N +RATHSKELLER R AE1 TH - S K EH2 - L ER0 +RATICAN R AE1 - T IH0 - K AH0 N +RATIENI R AH0 - T IY1 - N IY0 +RATIER R EY1 - T Y ER0 +RATIFICATION R AE2 - T AH0 - F AH0 - K EY1 - SH AH0 N +RATIFIED R AE1 - T AH0 - F AY2 D +RATIFIES R AE1 - T AH0 - F AY2 Z +RATIFY R AE1 - T AH0 - F AY2 +RATIFYING R AE1 - T AH0 - F AY2 - IH0 NG +RATING R EY1 - T IH0 NG +RATINGS R EY1 - T IH0 NG Z +RATIO R EY1 - SH IY0 - OW2 +RATION R AE1 - SH AH0 N +RATION(2) R EY1 - SH AH0 N +RATIONAL R AE1 - SH AH0 - N AH0 L +RATIONAL(2) R AE1 SH - N AH0 L +RATIONALE R AE2 - SH AH0 - N AE1 L +RATIONALES R AE2 - SH AH0 - N AE1 L Z +RATIONALITY R AE2 - SH AH0 - N AE1 - L IH0 - T IY0 +RATIONALIZATION R AE2 - SH AH0 N - AH0 - L IH0 - Z EY1 - SH AH0 N +RATIONALIZATION(2) R AE2 SH - N AH0 - L IH0 - Z EY1 - SH AH0 N +RATIONALIZATIONS R AE2 - SH AH0 N - AH0 - L IH0 - Z EY1 - SH AH0 N Z +RATIONALIZATIONS(2) R AE2 SH - N AH0 - L IH0 - Z EY1 - SH AH0 N Z +RATIONALIZE R AE1 - SH AH0 N - AH0 - L AY2 Z +RATIONALIZED R AE1 - SH AH0 N - AH0 - L AY2 Z D +RATIONALIZING R AE1 - SH AH0 N - AH0 - L AY2 - Z IH0 NG +RATIONALLY R AE1 - SH AH0 N - AH0 - L IY0 +RATIONALLY(2) R AE1 SH - N AH0 - L IY0 +RATIONED R AE1 - SH AH0 N D +RATIONED(2) R EY1 - SH AH0 N D +RATIONING R AE1 - SH AH0 N - IH0 NG +RATIONING(2) R AE1 SH - N IH0 NG +RATIONING(3) R EY1 - SH AH0 N - IH0 NG +RATIONS R AE1 - SH AH0 N Z +RATIOS R EY1 - SH IY0 - OW2 Z +RATKO R AE1 T - K OW0 +RATKOVICH R AA1 T - K AH0 - V IH0 CH +RATKOWSKI R AH0 T - K AO1 F S - K IY0 +RATLEDGE R AE1 T - L IH0 JH +RATLEY R AE1 T - L IY0 +RATLIFF R AE1 T - L IH0 F +RATLIFFE R AE1 T - L IH0 F +RATLIFFE'S R AE1 T - L IH0 F S +RATNER R AE1 T - N ER0 +RATNERS R AE1 T - N ER0 Z +RATON R AH0 - T OW1 N +RATS R AE1 T S +RATTAN R AE0 - T AE1 N +RATTATOUILLE R AE0 - T AH0 - T UW1 - IY0 +RATTE R AE1 T +RATTERMAN R AE1 - T ER0 - M AH0 N +RATTERREE R AE1 - T ER0 - IY1 +RATTIGAN R AE1 - T IH0 - G AH0 N +RATTIGAN'S R AE1 - T IH0 - G AH0 N Z +RATTLE R AE1 - T AH0 L +RATTLED R AE1 - T AH0 L D +RATTLER R AE1 - T AH0 L - ER0 +RATTLER(2) R AE1 T - L ER0 +RATTLES R AE1 - T AH0 L Z +RATTLESNAKE R AE1 - T AH0 L - S N EY2 K +RATTLESNAKES R AE1 - T AH0 L - S N EY2 K S +RATTLING R AE1 T - L IH0 NG +RATTLING(2) R AE1 - T AH0 L - IH0 NG +RATTNER R AE1 T - N ER0 +RATTRAY R AE1 - T R EY0 +RATTS R AE1 T S +RATTY R AE1 - T IY0 +RATU R AA0 - T UW1 +RATZ R AE1 T S +RATZINGER R AE1 T - S IH2 - NG ER0 +RATZLAFF R AE1 T Z - L AH0 F +RAU R AW1 +RAUB R AO1 B +RAUBER R AW1 - B ER0 +RAUCCI R AO1 - CH IY0 +RAUCH R AO1 CH +RAUCHER R AO1 - CH ER0 +RAUCHER'S R AO1 - CH ER0 Z +RAUCOUS R AO1 - K AH0 S +RAUDABAUGH R AO1 - D AH0 - B AO0 +RAUDENBUSH R AW1 - D IH0 N - B UH0 SH +RAUEN R AW1 - AH0 N +RAUER R AW1 - ER0 +RAUH R AO1 +RAUL R AO1 L +RAUL(2) R AA0 - UW1 L +RAUL(3) R AW1 L +RAULERSON R AO1 - L ER0 - S AH0 N +RAULS R AA0 - UW1 L Z +RAULSTON R AO1 L - S T AH0 N +RAUM R AO1 M +RAUN R AO1 N +RAUNCHY R AO1 N - CH IY0 +RAUP R AO1 P +RAUPP R AO1 P +RAUSCH R AW1 SH +RAUSCHENBERG R AW1 - SH AH0 N - B ER0 G +RAUSCHER R AW1 - SH ER0 +RAUSER R AW1 - S ER0 +RAUTENBERG R AW1 - T AH0 N - B ER0 G +RAUTH R AO1 TH +RAUTIO R AW1 - T IY0 - OW0 +RAVAGE R AE1 - V IH0 JH +RAVAGED R AE1 - V IH0 JH D +RAVAGES R AE1 - V IH0 - JH IH0 Z +RAVAGING R AE1 - V IH0 - JH IH0 NG +RAVAN R EY1 - V AH0 N +RAVE R EY1 V +RAVED R EY1 V D +RAVEL R AE1 - V AH0 L +RAVEL'S R AH0 - V EH1 L Z +RAVEL(2) R AH0 - V EH1 L +RAVELED R AE1 - V AH0 L D +RAVELING R AE1 - V AH0 L - IH0 NG +RAVELING(2) R AE1 V - L IH0 NG +RAVELO R AA0 - V EH1 - L OW0 +RAVEN R EY1 - V AH0 N +RAVENEL R AE1 - V IH0 - N EH0 L +RAVENELL R AE1 - V IH0 - N EH0 L +RAVENNA R AH0 - V EH1 - N AH0 +RAVENOUS R AE1 - V AH0 - N AH0 S +RAVENS R EY1 - V AH0 N Z +RAVENSCRAFT R EY1 - V AH0 N Z - K R AE2 F T +RAVENSCROFT R EY1 - 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V ER0 +REAVER'S R IY1 - V ER0 Z +REAVES R IY1 V Z +REAVIS R IY1 - V IH0 S +REAWAKEN R IY2 - AH0 - W EY1 - K AH0 N +REAWAKENED R IY2 - AH0 - W EY1 - K AH0 N D +REAWAKENING R IY2 - AH0 - W EY1 - K AH0 - N IH0 NG +REAY R EY1 +REBA R IY1 - B AH0 +REBACK R IY1 - B AE0 K +REBALANCING R IY0 - B AE1 - L AH0 N - S IH0 NG +REBAR R IY1 - B AA2 R +REBATE R IY1 - B EY2 T +REBATED R IY1 - B EY2 - T IH0 D +REBATES R IY1 - B EY2 T S +REBBE R IY1 - B AH0 +REBBE'S R IY1 - B AH0 Z +REBECCA R AH0 - B EH1 - K AH0 +REBECCA'S R AH0 - B EH1 - K AH0 Z +REBECK R IY1 - B EH0 K +REBEKA R IH0 - B IY1 - K AH0 +REBEKKA R IH0 - B EH1 - K AH0 +REBEL R EH1 - B AH0 L +REBEL'S R EH1 - B AH0 L Z +REBEL(2) R IH0 - B EH1 L +REBELLED R IH0 - B EH1 L D +REBELLING R IH0 - B EH1 - L IH0 NG +REBELLION R IH0 - B EH1 L - Y AH0 N +REBELLION'S R IH0 - B EH1 L - Y AH0 N Z +REBELLIONS R IH0 - B EH1 L - Y AH0 N Z +REBELLIOUS R IH0 - B EH1 L - Y AH0 S +REBELLIOUS(2) R AH0 - B EH1 L - Y AH0 S +REBELLIOUSNESS R AH0 - B EH1 - L IY0 - AH0 S - N AH0 S +REBELLO R EH0 - B EH1 - L OW0 +REBELO R EH0 - B EH1 - L OW0 +REBELS R EH1 - B AH0 L Z +REBELS' R EH1 - B AH0 L Z +REBELS(2) R IH0 - B EH1 L Z +REBER R EH1 - B ER0 +REBERT R EH1 - B ER0 T +REBHOLZ R EH1 B - HH OW0 L Z +REBID R IY0 - B IH1 D +REBIRTH R IY0 - B ER1 TH +REBIRTHS R IY0 - B ER1 TH S +REBMAN R EH1 B - M AH0 N +REBMANN R EH1 B - M AH0 N +REBO R IY1 - B OW0 +REBOARD R IY0 - B AO1 R D +REBOOK R IY0 - B UH1 K +REBOOKED R IY0 - B UH1 K T +REBORN R IY1 - B AO1 R N +REBOUND R IY0 - B AW1 N D +REBOUNDED R IY0 - B AW1 N - D IH0 D +REBOUNDING R IY0 - B AW1 N - D IH0 NG +REBOUNDS R IY1 - B AW2 N D Z +REBROADCAST R IY0 - B R AO1 D - K AE2 S T +REBSTOCK R EH1 B - S T AA2 K +REBUCK R EH1 - B AH0 K +REBUFF R IH0 - B AH1 F +REBUFF(2) R IY0 - B AH1 F +REBUFFED R IH0 - B AH1 F T +REBUFFED(2) R IY0 - B AH1 F T +REBUFFING R IY0 - B AH1 - F IH0 NG +REBUFFS R IY0 - B AH1 F S +REBUILD R IY0 - B IH1 L D +REBUILDER R IY0 - B IH1 L - D ER0 +REBUILDERS R IY0 - B IH1 L - D ER0 Z +REBUILDING R IY0 - B IH1 L - D IH0 NG +REBUILDS R IY0 - B IH1 L D Z +REBUILT R IY0 - B IH1 L T +REBUKE R IY0 - B Y UW1 K +REBUKE(2) R IH0 - B Y UW1 K +REBUKED R IH0 - B Y UW1 K T +REBUKED(2) R IY0 - B Y UW1 K T +REBUKES R IY0 - B Y UW1 K S +REBUKING R IY0 - B Y UW1 - K IH0 NG +REBUS R IY1 - B AH0 S +REBUT R IH0 - B AH1 T +REBUT(2) R IY0 - B AH1 T +REBUTTAL R IH0 - B AH1 - T AH0 L +REBUTTAL(2) R IY0 - B AH1 - T AH0 L +REBUTTALS R IH0 - B AH1 - T AH0 L Z +REBUTTED R IH0 - B AH1 - T IH0 D +REBUTTING R IH0 - B AH1 - T IH0 NG +REBUTTING(2) R IY0 - B AH1 - T IH0 NG +REC R EH1 K +RECADI R IH0 - K AE1 - D IY0 +RECALCITRANCE R IH0 - K AE1 L - S AH0 - T R AH0 N S +RECALCITRANT R IH0 - K AE1 L - S IH0 - T R AH0 N T +RECALCULATE R IY0 - K AE1 L - K Y AH0 - L EY2 T +RECALCULATED R IY0 - K AE1 L - K Y AH0 - L EY2 - T IH0 D +RECALCULATING R IY0 - K AE1 L - K Y AH0 - L EY2 - T IH0 NG +RECALCULATION R IY0 - K AE2 L - K Y AH0 - L EY1 - SH AH0 N +RECALL R IY1 - K AO2 L +RECALL(2) R IH0 - K AO1 L +RECALLED R IH0 - K AO1 L D +RECALLING R IH0 - K AO1 - L IH0 NG +RECALLS R IY1 - K AO2 L Z +RECALLS(2) R IH0 - K AO1 L Z +RECANT R IY0 - K AE1 N T +RECANTATION R EH2 - K AH0 N - T EY1 - SH AH0 N +RECANTATION(2) R IY0 - K AE0 N - T EY1 - SH AH0 N +RECANTED R IY0 - K AE1 N - T IH0 D +RECANTING R AH0 - K AE1 N - T IH0 NG +RECAP R IY1 - K AE2 P +RECAP(2) R IH0 - K AE1 P +RECAPITALIZATION R IY2 - K AE2 - P IH0 - T AH0 - L IH0 - Z EY1 - SH AH0 N +RECAPITALIZATIONS R IY0 - K AE2 - P AH0 - T AH0 - L AH0 - Z EY1 - SH AH0 N Z +RECAPITALIZE R IY2 - K AE1 - P IH0 - T AH0 - L AY2 Z +RECAPITALIZED R IY2 - K AE1 - P IH0 - T AH0 - L AY2 Z D +RECAPITALIZING R IY2 - K AE1 - P IH0 - T AH0 - L AY2 - Z IH0 NG +RECAPITULATE R IY2 - K AH0 - P IH1 - CH AH0 - L EY2 T +RECAPITULATES R IY2 - K AH0 - P IH1 - CH AH0 - L EY2 T S +RECAPPED R IY0 - K AE1 P T +RECAPPING R IY0 - K AE1 - P IH0 NG +RECAPS R IY1 - K AE2 P S +RECAPTURE R IY0 - K AE1 P - CH ER0 +RECAPTURED R IY0 - K AE1 P - CH ER0 D +RECAPTURING R IY0 - K AE1 P - CH ER0 - IH0 NG +RECAREY R IY0 - K EH1 - R IY0 +RECAST R IY0 - K AE1 S T +RECASTING R IY0 - K AE1 - S T IH0 NG +RECCHIA R EH1 - K IY0 - AH0 +RECEDE R IH0 - S IY1 D +RECEDED R AH0 - S IY1 - D AH0 D +RECEDED(2) R IH0 - S IY1 - D IH0 D +RECEDED(3) R IY0 - S IY1 - D IH0 D +RECEDES R IY0 - S IY1 D Z +RECEDING R IH0 - S IY1 - D IH0 NG +RECEDING(2) R IY0 - S IY1 - D IH0 NG +RECEIPT R IH0 - S IY1 T +RECEIPT(2) R IY0 - S IY1 T +RECEIPTS R IH0 - S IY1 T S +RECEIPTS(2) R IY0 - S IY1 T S +RECEIVABLE R IH0 - S IY1 - V AH0 - B AH0 L +RECEIVABLES R IH0 - S IY1 - V AH0 - B AH0 L Z +RECEIVE R AH0 - S IY1 V +RECEIVE(2) R IH0 - S IY1 V +RECEIVE(3) R IY0 - S IY1 V +RECEIVED R AH0 - S IY1 V D +RECEIVED(2) R IH0 - S IY1 V D +RECEIVED(3) R IY0 - S IY1 V D +RECEIVER R AH0 - S IY1 - V ER0 +RECEIVER(2) R IH0 - S IY1 - V ER0 +RECEIVER(3) R IY0 - S IY1 - V ER0 +RECEIVERS R AH0 - S IY1 - V ER0 Z +RECEIVERS(2) R IH0 - S IY1 - V ER0 Z +RECEIVERS(3) R IY0 - S IY1 - V ER0 Z +RECEIVERSHIP R IH0 - S IY1 - V ER0 - SH IH2 P +RECEIVERSHIP(2) R IY0 - S IY1 - V ER0 - SH IH2 P +RECEIVERSHIPS R IH0 - S IY1 - V ER0 - SH IH2 P S +RECEIVES R AH0 - S IY1 V Z +RECEIVES(2) R IH0 - S IY1 V Z +RECEIVES(3) R IY0 - S IY1 V Z +RECEIVING R AH0 - S IY1 - V IH0 NG +RECEIVING(2) R IH0 - S IY1 - V IH0 NG +RECEIVING(3) R IY0 - S IY1 - V IH0 NG +RECENT R IY1 - S AH0 N T +RECENTLY R IY1 - S AH0 N T - L IY0 +RECENTLY(2) R IY1 - S AH0 N - L IY0 +RECEPTACLE R AH0 - S EH1 P - T AH0 - K AH0 L +RECEPTACLES R IH0 - S EH1 P - T IH0 - K AH0 L Z +RECEPTECH R IY1 - S EH2 P - T EH1 K +RECEPTION R IH0 - S EH1 P - SH AH0 N +RECEPTION(2) R IY0 - S EH1 P - SH AH0 N +RECEPTIONIST R IH0 - S EH1 P - SH AH0 - N IH0 S T +RECEPTIONIST(2) R IY0 - S EH1 P - SH AH0 - N IH0 S T +RECEPTIONISTS R IH0 - S EH1 P - SH AH0 - N IH0 S T S +RECEPTIONISTS(2) R IY0 - S EH1 P - SH AH0 - N IH0 S T S +RECEPTIONISTS(3) R IH0 - S EH1 P - SH AH0 - N IH0 S S +RECEPTIONISTS(4) R IY0 - S EH1 P - SH AH0 - N IH0 S S +RECEPTIONISTS(5) R IH0 - S EH1 P - SH AH0 - N IH0 S +RECEPTIONISTS(6) R IY0 - S EH1 P - SH AH0 - N IH0 S +RECEPTIONS R IH0 - S EH1 P - SH AH0 N Z +RECEPTIVE R IH0 - S EH1 P - T IH0 V +RECEPTIVE(2) R IY0 - S EH1 P - T IH0 V +RECEPTIVITY R IY1 - S EH2 P - T IH1 - V IH0 - T IY0 +RECEPTOR R IY0 - S EH1 P - T ER0 +RECEPTORS R AH0 - S EH1 P - T ER0 Z +RECERTIFICATION R IY2 - S ER0 - T AH0 - F AH0 - K EY1 - SH AH0 N +RECERTIFIED R IY0 - S ER1 - T IH0 - F AY0 D +RECERTIFY R IY0 - S ER1 - T AH0 - F AY0 +RECERTIFYING R IY0 - S ER1 - T AH0 - F AY0 - IH0 NG +RECESS R IH0 - S EH1 S +RECESS(2) R IY1 - S EH0 S +RECESSED R IH0 - S EH1 S T +RECESSED(2) R IY1 - S EH1 S T +RECESSES R IY1 - S EH0 - S AH0 Z +RECESSING R IY2 - S EH1 - S IH0 NG +RECESSION R IH0 - S EH1 - SH AH0 N +RECESSION'S R IY2 - S EH1 - SH AH0 N Z +RECESSION(2) R IY2 - S EH1 - SH AH0 N +RECESSIONARY R IY0 - S EH1 - SH AH0 N - EH2 - R IY0 +RECESSIONS R IH0 - S EH1 - SH AH0 N Z +RECESSIVE R AH0 - S EH1 - S IH0 V +RECH R EH1 K +RECHARGE R IY0 - CH AA1 R JH +RECHARGEABLE R IY0 - CH AA1 R - JH AH0 - B AH0 L +RECHARGED R IY0 - CH AA1 R JH D +RECHARGING R IY0 - CH AA1 R - JH IH0 NG +RECHECK R IY1 - CH EH1 K +RECHECKED R IY0 - CH EH1 K T +RECHRISTEN R IY1 - K R IH1 - S AH0 N +RECHRISTENED R IY1 - K R IH1 - S AH0 N D +RECHT R EH1 K T +RECIDIVISM R AH0 - S IH1 - D IH0 - V IH2 - Z AH0 M +RECIDIVIST R AH0 - S IH1 - D IH0 - V IH2 S T +RECIDIVISTS R AH0 - S IH1 - D IH0 - V IH2 S T S +RECIDIVISTS(2) R AH0 - S IH1 - D IH0 - V IH2 S S +RECIDIVISTS(3) R AH0 - S IH1 - D IH0 - V IH2 S +RECINE R EH0 - CH IY1 - N IY0 +RECIO R EH1 - CH IY0 - OW0 +RECIPE R EH1 - S AH0 - P IY0 +RECIPE'S R EH1 - S AH0 - P IY0 Z +RECIPES R EH1 - S AH0 - P IY0 Z +RECIPIENT R AH0 - S IH1 - P IY0 - AH0 N T +RECIPIENT'S R IH0 - S IH1 - P IY0 - AH0 N T S +RECIPIENT(2) R IH0 - S IH1 - P IY0 - AH0 N T +RECIPIENTS R IH0 - S IH1 - P IY0 - AH0 N T S +RECIPIENTS' R IH0 - S IH1 - P IY0 - AH0 N T S +RECIPROCAL R IH0 - S IH1 - P R AH0 - K AH0 L +RECIPROCANT R IY0 - S IH1 - P R AH0 - K AH0 N T +RECIPROCANTS R IY0 - S IH1 - P R AH0 - K AH0 N T S +RECIPROCATE R IH0 - S IH1 - P R AH0 - K EY2 T +RECIPROCATED R IH0 - S IH1 - P R AH0 - K EY2 - T IH0 D +RECIPROCATING R IH0 - S IH1 - P R AH0 - K EY2 - T IH0 NG +RECIPROCITY R EH2 - S IH0 - P R AA1 - S IH0 - T IY0 +RECISION R IH0 - S IH1 - ZH AH0 N +RECISIONS R IH0 - S IH1 - ZH AH0 N Z +RECISSION R AH0 - S IH1 - SH AH0 N +RECITAL R AH0 - S AY1 - T AH0 L +RECITALS R IH0 - S AY1 - T AH0 L Z +RECITATION R EH2 - S AH0 - T EY1 - SH AH0 N +RECITATIONS R EH2 - S IH0 - T EY1 - SH AH0 N Z +RECITATIVES R EH2 - S AH0 - T AH0 - T IY1 V Z +RECITE R AH0 - S AY1 T +RECITED R AH0 - S AY1 - T AH0 D +RECITES R IY0 - S AY1 T S +RECITING R IY0 - S AY1 - T IH0 NG +RECK R EH1 K +RECKARD R EH1 - K ER0 D +RECKER R EH1 - K ER0 +RECKITT R EH1 - K IH0 T +RECKLESS R EH1 K - L AH0 S +RECKLESSLY R EH1 K - L AH0 S - L IY0 +RECKLESSNESS R EH1 K - L AH0 S - N AH0 S +RECKNER R EH1 K - N ER0 +RECKON R EH1 - K AH0 N +RECKONED R EH1 - K AH0 N D +RECKONING R EH1 - K AH0 - N IH0 NG +RECKONING(2) R EH1 K - N IH0 NG +RECKONS R EH1 - K AH0 N Z +RECKTENWALD R IH0 K - T EH1 - N W AH0 L D +RECLAIM R IY0 - K L EY1 M +RECLAIMED R IY0 - K L EY1 M D +RECLAIMER R IY0 - K L EY1 - M ER0 +RECLAIMER'S R IY0 - K L EY1 - M ER0 Z +RECLAIMING R IY0 - K L EY1 - M IH0 NG +RECLAMATION R EH2 - K L AH0 - M EY1 - SH AH0 N +RECLASSIFICATION R IY0 - K L AE2 - S AH0 - F AH0 - K EY1 - SH AH0 N +RECLASSIFIED R IY0 - K L AE1 - S AH0 - F AY2 D +RECLASSIFY R IY0 - K L AE1 - S IH0 - F AY2 +RECLASSIFYING R IY0 - K L AE1 - S IH0 - F AY2 - IH0 NG +RECLINER R IH0 - K L AY1 - N ER0 +RECLINING R IH0 - K L AY1 - N IH0 NG +RECLINING(2) R IY0 - K L AY1 - N IH0 NG +RECLUSE R IH0 - K L UW1 S +RECLUSIVE R IH0 - K L UW1 - S IH0 V +RECLUSIVE(2) R IY0 - K L UW1 - S IH0 V +RECO R IY1 - K OW0 +RECO(2) R EH1 - K OW0 +RECOGNITION R EH2 - K AH0 G - N IH1 - SH AH0 N +RECOGNITION'S R EH2 - K IH0 G - N IH1 - SH AH0 N Z +RECOGNITION(2) R EH2 - K IH0 G - N IH1 - SH AH0 N +RECOGNIZABLE R EH2 - K AH0 G - N AY1 - Z AH0 - B AH0 L +RECOGNIZABLY R EH1 - K AH0 G - N AY2 - Z AH0 - B L IY0 +RECOGNIZANCE R IH0 - K AA1 - N AH0 - Z AH0 N S +RECOGNIZE R EH1 - K AH0 G - N AY2 Z +RECOGNIZED R EH1 - K AH0 G - N AY2 Z D +RECOGNIZES R EH1 - K AH0 G - N AY2 - Z AH0 Z +RECOGNIZES(2) R EH1 - K AH0 G - N AY2 - Z IH0 Z +RECOGNIZING R EH1 - K AH0 G - N AY2 - Z IH0 NG +RECOIL R IY0 - K OY1 L +RECOILED R IY0 - K OY1 L D +RECOILS R IY0 - K OY1 L Z +RECOLLECT R EH2 - K AH0 - L EH1 K T +RECOLLECT(2) R IY2 - K AH0 - L EH1 K T +RECOLLECTED R EH2 - K AH0 - L EH1 K - T IH0 D +RECOLLECTED(2) R IY2 - K AH0 - L EH1 K - T IH0 D +RECOLLECTING R EH2 - K AH0 - L EH1 K - T IH0 NG +RECOLLECTING(2) R IY2 - K AH0 - L EH1 K - T IH0 NG +RECOLLECTION R EH2 - K AH0 - L EH1 K - SH AH0 N +RECOLLECTIONS R EH2 - K AH0 - L EH1 K - SH AH0 N Z +RECOLLECTS R EH2 - K AH0 - L EH1 K T S +RECOLLECTS(2) R IY2 - K AH0 - L EH1 K T S +RECOMBINANT R IH0 - K AA1 M - B IH0 - N AH0 N T +RECOMBINE R IY2 - K AH0 M - B AY1 N +RECOMMEND R EH2 - K AH0 - M EH1 N D +RECOMMENDATION R EH2 - K AH0 - M AH0 N - D EY1 - SH AH0 N +RECOMMENDATIONS R EH2 - K AH0 - M AH0 N - D EY1 - SH AH0 N Z +RECOMMENDED R EH2 - K AH0 - M EH1 N - D AH0 D +RECOMMENDED(2) R EH2 - K AH0 - M EH1 N - D IH0 D +RECOMMENDING R EH2 - K AH0 - M EH1 N - D IH0 NG +RECOMMENDS R EH2 - K AH0 - M EH1 N D Z +RECOMMIT R IH0 - K AA1 - M IH0 T +RECOMMIT(2) R IY2 - K AH0 - M IH1 T +RECOMMITED R IH0 - K AA1 - M IH2 - T IH0 D +RECOMMITED(2) R IY2 - K AH0 - M IH1 - T IH0 D +RECOMPENSE R EH1 - K AH0 M - P EH2 N S +RECON R IY1 - K AO0 N +RECONCILE R EH1 - K AH0 N - S AY2 L +RECONCILED R EH1 - K AH0 N - S AY2 L D +RECONCILES R EH1 - K AH0 N - S AY2 L Z +RECONCILIATION R EH2 - K AH0 N - S IH2 - L IY0 - EY1 - SH AH0 N +RECONCILIATIONS R EH2 - K AH0 N - S IH2 - L IY0 - EY1 - SH AH0 N Z +RECONCILING R EH1 - K AH0 N - S AY2 - L IH0 NG +RECONDITE R EH1 - K AH0 N - D AY2 T +RECONDITION R IY2 - K AH0 N - D IH1 - SH AH0 N +RECONDITIONED R IY2 - K AH0 N - D IH1 - SH AH0 N D +RECONDITIONING R IY2 - K AH0 N - D IH1 - SH AH0 N - IH0 NG +RECONDITIONING(2) R IY2 - K AH0 N - D IH1 SH - N IH0 NG +RECONFIGURATION R IY0 - K AH0 N - F IH2 - G Y ER0 - EY1 - SH AH0 N +RECONFIGURE R IY2 - K AH0 N - F IH1 - G Y ER0 +RECONFIGURED R IY2 - K AH0 N - F IH1 - G Y ER0 D +RECONFIRM R IY2 - K AH0 N - F ER1 M +RECONFIRMATION R IY2 - K AA2 N - F ER0 - M EY1 - SH AH0 N +RECONFIRMED R IY2 - K AH0 N - F ER1 M D +RECONNAISSANCE R IY0 - K AA1 - N AH0 - S AH0 N S +RECONNECT R IY0 - K AH0 - N EH1 K T +RECONNECTED R IY0 - K AH0 - N EH1 K - T IH0 D +RECONNECTING R IY0 - K AH0 - N EH1 K - T IH0 NG +RECONNECTS R IY0 - K AH0 - N EH1 K T S +RECONQUER R IY0 - K AO1 NG - K ER0 +RECONQUERED R IY0 - K AO1 NG - K ER0 D +RECONSIDER R IY2 - K AH0 N - S IH1 - D ER0 +RECONSIDERATION R IY0 - K AH0 N - S IH2 - D ER0 - EY1 - SH AH0 N +RECONSIDERED R IY2 - K AH0 N - S IH1 - D ER0 D +RECONSIDERING R IY2 - K AH0 N - S IH1 - D ER0 - IH0 NG +RECONSTITUTE R IY0 - K AA1 N - S T AH0 - T UW2 T +RECONSTITUTED R IY0 - K AA1 N - S T AH0 - T UW2 - T IH0 D +RECONSTITUTING R IY0 - K AA1 N - S T IH0 - T UW2 - T IH0 NG +RECONSTRUCT R IY2 - K AH0 N - S T R AH1 K T +RECONSTRUCTED R IY2 - K AH0 N - S T R AH1 K - T IH0 D +RECONSTRUCTING R IY2 - K AH0 N - S T R AH1 K - T IH0 NG +RECONSTRUCTION R IY2 - K AH0 N - S T R AH1 K - SH AH0 N +RECONSTRUCTIONS R IY2 - K AH0 N - S T R AH1 K - SH AH0 N Z +RECONSTRUCTIVE R IY2 - K AH0 N - S T R AH1 K - T IH0 V +RECONVENE R IY0 - K AH0 N - V IY1 N +RECONVENED R IY0 - K AH0 N - V IY1 N D +RECONVENES R IY0 - K AH0 N - V IY1 N Z +RECORD R AH0 - K AO1 R D +RECORD'S R EH1 - K ER0 D Z +RECORD(2) R EH1 - K ER0 D +RECORD(3) R IH0 - K AO1 R D +RECORDABLE R IH0 - K AO1 R - D AH0 - B AH0 L +RECORDED R AH0 - K AO1 R - D AH0 D +RECORDED(2) R IH0 - K AO1 R - D IH0 D +RECORDER R IH0 - K AO1 R - D ER0 +RECORDER(2) R IY0 - K AO1 R - D ER0 +RECORDERS R IH0 - K AO1 R - D ER0 Z +RECORDERS(2) R IY0 - K AO1 R - D ER0 Z +RECORDING R AH0 - K AO1 R - D IH0 NG +RECORDING(2) R IH0 - K AO1 R - D IH0 NG +RECORDINGS R IH0 - K AO1 R - D IH0 NG Z +RECORDKEEPING R EH1 - K ER0 D - K IY2 - P IH0 NG +RECORDS R AH0 - K AO1 R D Z +RECORDS' R EH1 - K ER0 D Z +RECORDS(2) R EH1 - K ER0 D Z +RECORDS(3) R IH0 - K AO1 R D Z +RECORE R EH0 - K AO1 - R IY0 +RECOTON R IH0 - K AO1 - T IH0 N +RECOUNT R IH0 - K AW1 N T +RECOUNT(2) R IY2 - K AW1 N T +RECOUNTED R IH0 - K AW1 N - T IH0 D +RECOUNTED(2) R IY2 - K AW1 N - T IH0 D +RECOUNTING R IH0 - K AW1 N - T IH0 NG +RECOUNTING(2) R IY2 - K AW1 N - T IH0 NG +RECOUNTS R IY2 - K AW1 N T S +RECOUNTS(2) R IH0 - K AW1 N T S +RECOUP R IH0 - K UW1 P +RECOUPED R IH0 - K UW1 P T +RECOUPING R IH0 - K UW1 - P IH0 NG +RECOUPS R IH0 - K UW1 P S +RECOURSE R IY1 - K AO0 R S +RECOVER R IH0 - K AH1 - V ER0 +RECOVERABLE R IH0 - K AH1 - V ER0 - AH0 - B AH0 L +RECOVERED R AH0 - K AH1 - V ER0 D +RECOVERED(2) R IH0 - K AH1 - V ER0 D +RECOVERIES R IH0 - K AH1 - V ER0 - IY0 Z +RECOVERING R AH0 - K AH1 - V ER0 - IH0 NG +RECOVERING(2) R IH0 - K AH1 - V ER0 - IH0 NG +RECOVERS R IH0 - K AH1 - V ER0 Z +RECOVERY R IH0 - K AH1 - V R IY0 +RECOVERY'S R IH0 - K AH1 - V ER0 - IY0 Z +RECOVERY'S(2) R IH0 - K AH1 - V R IY0 Z +RECOVERY(2) R IH0 - K AH1 - V ER0 - IY0 +RECREATE R EH1 - K R IY0 - EY2 T +RECREATE(2) R IY0 - K R IY0 - EY1 T +RECREATED R EH1 - K R IY0 - EY2 - T IH0 D +RECREATED(2) R IY0 - K R IY0 - EY1 - T IH0 D +RECREATES R EH1 - K R IY0 - EY2 T S +RECREATES(2) R IY0 - K R IY0 - EY1 T S +RECREATING R EH1 - K R IY0 - EY2 - T IH0 NG +RECREATING(2) R IY0 - K R IY0 - EY1 - T IH0 NG +RECREATION R EH2 - K R IY0 - EY1 - SH AH0 N +RECREATIONAL R EH2 - K R IY0 - EY1 - SH AH0 N - AH0 L +RECRIMINATE R IH0 - K R IH2 - M IH0 - N EY1 T +RECRIMINATION R IH0 - K R IH2 - M IH0 - N EY1 - SH AH0 N +RECRIMINATIONS R IH0 - K R IH2 - M IH0 - N EY1 - SH AH0 N Z +RECROSS R IY0 - K R AO1 S +RECRUIT R AH0 - K R UW1 T +RECRUIT'S R IY0 - K R UW1 T S +RECRUIT(2) R IH0 - K R UW1 T +RECRUIT(3) R IY0 - K R UW1 T +RECRUITED R IH0 - K R UW1 - T IH0 D +RECRUITED(2) R IY0 - K R UW1 - T IH0 D +RECRUITER R IH0 - K R UW1 - T ER0 +RECRUITERS R IH0 - K R UW1 - T ER0 Z +RECRUITING R AH0 - K R UW1 - T IH0 NG +RECRUITING(2) R IH0 - K R UW1 - T IH0 NG +RECRUITING(3) R IY0 - K R UW1 - T IH0 NG +RECRUITMENT R AH0 - K R UW1 T - M AH0 N T +RECRUITMENT(2) R IH0 - K R UW1 T - M AH0 N T +RECRUITMENT(3) R IY0 - K R UW1 T - M AH0 N T +RECRUITS R AH0 - K R UW1 T S +RECRUITS(2) R IH0 - K R UW1 T S +RECRUITS(3) R IY0 - K R UW1 T S +RECTAL R EH1 K - T AH0 L +RECTANGLE R EH1 K - T AE0 NG - G AH0 L +RECTANGLES R EH1 K - T AE2 NG - G AH0 L Z +RECTANGULAR R EH0 K - T AE1 NG - G Y AH0 - L ER0 +RECTENWALD R EH1 K - T IH0 N - W AO0 L D +RECTIFICATION R EH2 K - T AH0 - F AH0 - K EY1 - SH AH0 N +RECTIFIED R EH1 K - T AH0 - F AY2 D +RECTIFIER R EH1 K - T AH0 - F AY2 - ER0 +RECTIFIERS R EH1 K - T AH0 - F AY2 - ER0 Z +RECTIFY R EH1 K - T AH0 - F AY2 +RECTIFYING R EH1 K - T AH0 - F AY2 - IH0 NG +RECTITUDE R EH1 K - T IH0 - T UW2 D +RECTOR R EH1 K - T ER0 +RECTORY R EH1 K - T ER0 - IY0 +RECTUM R EH1 K - T AH0 M +RECUPERATE R IH0 - K UW1 - P ER0 - EY2 T +RECUPERATING R IH0 - K UW1 - P ER0 - EY2 - T IH0 NG +RECUPERATING(2) R IY0 - K UW1 - P ER0 - EY2 - T IH0 NG +RECUPERATION R IH0 - K UW2 - P ER0 - EY1 - SH AH0 N +RECUPERATIVE R IH0 - K UW1 - P ER0 - AH0 - T IH0 V +RECUPERO R EY0 - K UW0 - P EH1 - R OW0 +RECUR R IH0 - K ER1 +RECUR(2) R IY0 - K ER1 +RECURRED R IY0 - K ER1 D +RECURRENCE R IH0 - K ER1 - AH0 N S +RECURRENCE(2) R IY0 - K ER1 - AH0 N S +RECURRENT R IH0 - K ER1 - AH0 N T +RECURRENT(2) R IY0 - K ER1 - AH0 N T +RECURRING R IH0 - K ER1 - IH0 NG +RECURRING(2) R IY0 - K ER1 - IH0 NG +RECUSAL R IH0 - K Y UW1 - Z AH0 L +RECUSE R IH2 - K Y UW1 Z +RECUSED R IH0 - K Y UW1 Z D +RECUSING R IH2 - K Y UW1 - Z IH0 NG +RECYCLABLE R IY0 - S AY1 - K L AH0 - B AH0 L +RECYCLABLES R IY0 - S AY1 - K L AH0 - B AH0 L Z +RECYCLE R IY0 - S AY1 - K AH0 L +RECYCLED R IY0 - S AY1 - K AH0 L D +RECYCLER R IY0 - S AY1 - K L ER0 +RECYCLERS R IY0 - S AY1 - K L ER0 Z +RECYCLES R IY0 - S AY1 - K AH0 L Z +RECYCLING R IY0 - S AY1 - K AH0 L - IH0 NG +RECYCLING(2) R IY0 - S AY1 - K L IH0 NG +RECZEK R EH1 - CH EH0 K +RED R EH1 D +RED-HANDED R EH1 D - HH AE1 N - D AH0 D +RED-HANDED(2) R EH1 D - HH AE1 N - D IH0 D +REDA R EY1 - D AH0 +REDACT R IH0 - D AE1 K T +REDACTED R IH0 - D AE1 K - T IH0 D +REDACTES R IH0 - D AE1 K T S +REDACTING R IH0 - D AE1 K - T IH0 NG +REDBIRD R EH1 D - B ER2 D +REDBOOK R EH1 D - B UH2 K +REDBUD R EH1 D - B AH2 D +REDBURN R EH1 D - B ER2 N +REDCAY R EH1 D - K EY0 +REDCO R EH1 D - K OW0 +REDCOAT R EH1 D - K OW2 T +REDCOATS R EH1 D - K OW2 T S +REDD R EH1 D +REDDELL R EH1 - D AH0 L +REDDEN R EH1 - D AH0 N +REDDER R EH1 - D ER0 +REDDEST R EH1 - D IH0 S T +REDDICK R EH1 - D IH0 K +REDDIG R EH1 - D IH0 G +REDDIN R EH1 - D IH0 N +REDDING R EH1 - D IH0 NG +REDDINGER R EH1 - D IH0 - NG ER0 +REDDINGTON R EH1 - D IH0 NG - T AH0 N +REDDISH R EH1 - D IH0 SH +REDDITT R EH1 - D IH0 T +REDDOCH R EH1 - D AH0 K +REDDY R EH1 - D IY0 +REDECORATE R IY0 - D EH1 - K ER0 - EY2 T +REDECORATED R IY0 - D EH1 - K ER0 - EY2 - T IH0 D +REDECORATING R IY0 - D EH1 - K ER0 - EY2 - T IH0 NG +REDECORATION R IY2 - D EH0 - K ER0 - EY1 - SH AH0 N +REDEDICATE R IY2 - D EH1 - D AH0 - K EY2 T +REDEDICATION R IY0 - D EH2 - D AH0 - K EY1 - SH AH0 N +REDEEM R IH0 - D IY1 M +REDEEMABLE R IH0 - D IY1 - M AH0 - B AH0 L +REDEEMED R IH0 - D IY1 M D +REDEEMING R IH0 - D IY1 - M IH0 NG +REDEEMS R AH0 - D IY1 M Z +REDEFINE R IY0 - D IH0 - F AY1 N +REDEFINED R IY0 - D IH0 - F AY1 N D +REDEFINES R IY0 - D IH0 - F AY1 N Z +REDEFINING R IY0 - D IH0 - F AY1 - N IH0 NG +REDEFINITION R IY0 - D EH2 - F AH0 - N IH1 - SH AH0 N +REDEKER R EH1 - D IH0 - K ER0 +REDEL R EH1 - D AH0 L +REDELL R EH1 - D AH0 L +REDEMPTION R IH0 - D EH1 M P - SH AH0 N +REDEMPTION(2) R IH0 - D EH1 M - SH AH0 N +REDEMPTIONS R IH0 - D EH1 M P - SH AH0 N Z +REDEMPTIONS(2) R IH0 - D EH1 M - SH AH0 N Z +REDEMPTIVE R IH0 - D EH1 M P - T IH0 V +REDEMPTIVE(2) R IH0 - D EH1 M - T IH0 V +REDENBAUGH R EH1 - D IH0 N - B AW0 +REDENIUS R EH1 - D IY0 - N IY0 - IH0 S +REDEPLOY R IY2 - D IH0 - P L OY1 +REDEPLOYED R IY2 - D IH0 - P L OY1 D +REDEPLOYING R IY2 - D IH0 - P L OY1 - IH0 NG +REDEPLOYMENT R IY2 - D IH0 - P L OY1 - M AH0 N T +REDEPLOYMENTS R IY2 - D IH0 - P L OY1 - M AH0 N T S +REDEPOSITION R IY0 - D EH2 - P AH0 - Z IH1 - SH AH0 N +REDER R EH1 - D ER0 +REDESIGN R IY2 - D IH0 Z - AY1 N +REDESIGNED R IY2 - D IH0 Z - AY1 N D +REDESIGNING R IY2 - D IH0 - Z AY1 - N IH0 NG +REDEVELOP R IY0 - D IH0 V - EH1 - L AH0 P +REDEVELOPMENT R IY2 - D IH0 V - EH1 - L AH0 P - M AH0 N T +REDFEARN R EH1 D - F ER0 N +REDFERN R EH1 D - F ER2 N +REDFIELD R EH1 D - F IY2 L D +REDFISH R EH1 D - F IH2 SH +REDFORD R EH1 D - F ER0 D +REDFORD'S R EH1 D - F ER0 D Z +REDGRAVE R EH1 D - G R EY2 V +REDHANDED R EH1 D - HH AE2 N - D IH0 D +REDHEAD R EH1 D - HH EH2 D +REDHEADED R EH1 D - HH EH2 - D IH0 D +REDHEADS R EH1 D - HH EH1 D Z +REDI R EH1 - D IY0 +REDIAL R IY0 - D AY1 - AH0 L +REDIC R EH1 - D IH0 K +REDICK R EH1 - D IH0 K +REDICKER R IY0 - D IH1 - K ER0 +REDID R IY0 - D IH1 D +REDIFER R EH1 - D IH0 - F ER0 +REDIFER(2) R IY0 - D AH0 - F ER1 +REDIFFUSION R IY0 - D IH0 - F Y UW1 - ZH AH0 N +REDIGER R EH1 - D IH0 - G ER0 +REDIKER R EH1 - D IH0 - K ER0 +REDING R IY1 - D IH0 NG +REDINGER R EH1 - D IH0 - NG ER0 +REDINGTON R EH1 - D IH0 NG - T AH0 N +REDIRECT R IY2 - D ER0 - EH1 K T +REDIRECTED R IY2 - D ER0 - EH1 K - T IH0 D +REDIRECTING R IY2 - D ER0 - EH1 K - T IH0 NG +REDIRECTION R IY2 - D ER0 - EH1 K - SH AH0 N +REDISCOVER R IY0 - D IH0 S - K AH1 - V ER0 +REDISCOVERED R IY0 - D IH0 S - K AH1 - V ER0 D +REDISCOVERING R IY0 - D IH0 S - K AH1 - V ER0 - IH0 NG +REDISCOVERY R IY0 - D IH0 S - K AH1 - V R IY0 +REDISH R EH1 - D IH0 SH +REDISPLAY R IY0 - D IH0 S - P L EY1 +REDISTRIBUTE R IY2 - D IH0 S - T R IH1 - B Y UW0 T +REDISTRIBUTED R IY2 - D IH0 S - T R IH1 - B Y UW0 - T IH0 D +REDISTRIBUTED(2) R IY2 - D IH0 S - T R IH1 - B Y AH0 - T IH0 D +REDISTRIBUTING R IY2 - D IH0 S - T R IH1 - B Y UW0 - T IH0 NG +REDISTRIBUTING(2) R IY2 - D IH0 S - T R IH1 - B Y AH0 - T IH0 NG +REDISTRIBUTION R IY2 - D IH0 S - T R AH0 - B Y UW1 - SH AH0 N +REDISTRIBUTIVE R IY0 - D IH0 S - T R IH1 - B Y UW0 - T IH0 V +REDISTRIBUTIVE(2) R IY0 - D IH0 S - T R IH1 - B Y AH0 - T IH0 V +REDISTRICTING R IY0 - D IH1 S - T R IH0 K - T IH0 NG +REDKEN R EH1 D - K AH0 N +REDLAND R EH1 D - L AH0 N D +REDLER R EH1 D - L ER0 +REDLEY R EH1 D - L IY0 +REDLICH R EH1 D - L IH0 K +REDLIN R EH1 D - L IH0 N +REDLINGER R EH1 - D AH0 L - IH0 - NG ER0 +REDLINGER(2) R EH1 D - L IH0 - NG ER0 +REDLINING R EH1 D - L AY2 - N IH0 NG +REDMAN R EH1 D - M AE2 N +REDMANN R EH1 D - M AH0 N +REDMON R EH1 D - M AH0 N +REDMOND R EH1 D - M AH0 N D +REDMUND R EH1 D - M AH0 N D +REDNECK R EH1 D - N EH2 K +REDNECKS R EH1 D - N EH2 K S +REDNER R EH1 D - N ER0 +REDNESS R EH1 D - N AH0 S +REDNOUR R EH0 D - N UH1 R +REDO R IY0 - D UW1 +REDOGLIA R AH0 - D AA1 G - L IY0 - AH0 +REDOING R IY0 - D UW1 - IH0 NG +REDONDO R IH0 - D AA1 N - D OW0 +REDONE R IY0 - D AH1 N +REDOUBLE R IY0 - D AH1 - B AH0 L +REDOUBLED R IY0 - D AH1 - B AH0 L D +REDOUBLING R IY0 - D AH1 - B AH0 L - IH0 NG +REDOUBLING(2) R IY0 - D AH1 - B L IH0 NG +REDOUBT R AH0 - D AW1 T +REDOUBTABLE R AH0 - D AW1 - T AH0 - B AH0 L +REDOUND R IH0 - D AW1 N D +REDPATH R EH1 D - P AE2 TH +REDPOLL R EH1 D - P OW2 L +REDPOLLS R EH1 D - P OW2 L Z +REDRAFT R IY0 - D R AE1 F T +REDRAFTED R IY0 - D R AE1 F - T IH0 D +REDRAW R IY0 - D R AO1 +REDRAWING R IY0 - D R AO1 - IH0 NG +REDRAWN R IY0 - D R AO1 N +REDRESS R IH0 - D R EH1 S +REDRESS(2) R IY1 - D R EH0 S +REDRESSING R IY0 - D R EH1 - S IH0 NG +REDS R EH1 D Z +REDS' R EH1 D Z +REDSHAW R EH1 D - SH AO2 +REDSKIN R EH1 D - S K IH2 N +REDSKINS R EH1 D - S K IH2 N Z +REDSKINS' R EH1 D - S K IH2 N Z +REDSTONE R EH1 D - S T OW2 N +REDSTONE'S R EH1 D - S T OW2 N Z +REDUCE R AH0 - D UW1 S +REDUCE(2) R IH0 - D UW1 S +REDUCE(3) R IY0 - D UW1 S +REDUCED R AH0 - D UW1 S T +REDUCED(2) R IH0 - D UW1 S T +REDUCED(3) R IY0 - D UW1 S T +REDUCES R AH0 - D UW1 - S AH0 Z +REDUCES(2) R IH0 - D UW1 - S IH0 Z +REDUCES(3) R IY0 - D UW1 - S IH0 Z +REDUCIBLE R AH0 - D UW1 - S AH0 - B AH0 L +REDUCING R AH0 - D UW1 - S IH0 NG +REDUCING(2) R IH0 - D UW1 - S IH0 NG +REDUCING(3) R IY0 - D UW1 - S IH0 NG +REDUCTION R AH0 - D AH1 K - SH AH0 N +REDUCTION(2) R IY0 - D AH1 K - SH AH0 N +REDUCTIONS R IY0 - D AH1 K - SH AH0 N Z +REDUNDANCIES R IH0 - D AH1 N - D AH0 N - S IY0 Z +REDUNDANCY R IH0 - D AH1 N - D AH0 N - S IY0 +REDUNDANT R IH0 - D AH1 N - D AH0 N T +REDUS R IY1 - D AH0 S +REDWALD R EH1 - D W AH0 L D +REDWINE R EH1 D - W AY2 N +REDWOOD R EH1 D - W UH2 D +REDWOODS R EH1 D - W UH2 D Z +REE R IY1 +REEB R IY1 B +REEB'S R IY1 B Z +REEBOK R IY1 - B AA0 K +REEBOK'S R IY1 - B AA0 K S +REEBOKS R IY1 - B AA0 K S +REEBS R IY1 B Z +REEBS' R IY1 B Z +REECE R IY1 S +REECHE R IY1 CH +REECK R IY1 K +REED R IY1 D +REED'S R IY1 D Z +REEDER R IY1 - D ER0 +REEDERS R IY1 - D ER0 Z +REEDS R IY1 D Z +REEDUCATE R IY0 - EH1 - JH AH0 - K EY2 T +REEDUCATION R IY0 - EH2 - D Y AH0 - K EY2 - SH AH0 N +REEDUCATION(2) R IY0 - EH2 - JH AH0 - K EY2 - SH AH0 N +REEDY R IY1 - D IY0 +REEF R IY1 F +REEFS R IY1 F S +REEG R IY1 G +REEH R IY1 +REEK R IY1 K +REEKING R IY1 - K IH0 NG +REEKS R IY1 K S +REEL R IY1 L +REELECT R IY0 - IH0 - L EH1 K T +REELECTED R IY0 - IH0 - L EH1 K - T AH0 D +REELECTED(2) R IY0 - IH0 - L EH1 K - T IH0 D +REELECTING R IY0 - IH0 - L EH1 K - T IH0 NG +REELECTION R IY0 - IH0 - L EH1 K - SH AH0 N +REELED R IY1 L D +REELING R IY1 - L IH0 NG +REELS R IY1 L Z +REEMERGE R IY0 - IH0 - M ER1 JH +REEMERGED R IY0 - IH0 - M ER1 JH D +REEMERGENCE R IY0 - IH0 - M ER1 - JH AH0 N S +REEMPHASIZE R IY0 - EH1 M - F AH0 - S AY2 Z +REEMPLOYMENT R IY0 - IH0 M - P L OY1 - M AH0 N T +REEN R IY1 N +REENACT R IY0 - IH0 - N AE1 K T +REENACTED R IY0 - IH0 - N AE1 K - T IH0 D +REENACTMENT R IY0 - IH0 - N AE1 K T - M AH0 N T +REENACTMENTS R IY0 - IH0 - N AE1 K T - M AH0 N T S +REENACTS R IY0 - IH0 - N AE1 K T S +REENGINEER R IY0 - EH2 N - JH AH0 - N IH1 R +REENGINEERING R IY0 - EH2 N - JH AH0 - N IH1 - R IH0 NG +REENTER R IY0 - IH1 N - T ER0 +REENTERED R IY0 - IH1 N - T ER0 D +REENTERING R IY0 - IH1 N - T ER0 - IH0 NG +REENTRY R IY0 - IH1 N - T R IY0 +REENTS R IY1 N T S +REEP R IY1 P +REES R IY1 Z +REESE R IY1 S +REESE'S R IY1 - S IH0 Z +REESER R IY1 - S ER0 +REESMAN R IY1 S - M AH0 N +REESOR R IY1 - S ER0 +REESTABLISH R IY0 - IH0 - S T AE1 - B L IH0 SH +REESTABLISHED R IY2 - IH0 - S T AE1 - B L IH0 SH T +REESTABLISHING R IY0 - IH0 - S T AE1 - B L IH0 - SH IH0 NG +REETZ R IY1 T S +REEVALUATE R IY2 - IH0 - V AE1 - L UW0 - EY2 T +REEVALUATED R IY0 - IH0 - V AE1 L - Y UW0 - EY2 - T IH0 D +REEVALUATING R IY0 - IH0 - V AE1 L - Y UW0 - EY2 - T IH0 NG +REEVALUATION R IY0 - IH0 - V AE2 L - Y UW0 - EY1 - SH AH0 N +REEVE R IY1 V +REEVER R IY1 - V ER0 +REEVES R IY1 V Z +REEVES' R IY1 V Z +REEVES'S R IY1 V - Z IH0 Z +REEXAMINATION R IY0 - IH0 G - Z AE2 - M AH0 - N EY1 - SH AH0 N +REEXAMINE R IY0 - EH0 G - Z AE1 - M AH0 N +REEXAMINED R IY0 - IH0 G - Z AE1 - M AH0 N D +REEXAMINING R IY0 - IH0 G - Z AE1 - M AH0 - N IH0 NG +REEXPORT R IY0 - EH1 K - S P AO2 R T +REEXPORTS R IY0 - EH1 K - S P AO2 R T S +REF R EH1 F +REFAAT R AH0 - F AA1 T +REFAH R AH0 - F AA1 +REFCO R EH1 - F K OW0 +REFCORP R EH1 F - K AO0 R P +REFENES R EH1 - F IH0 - N EH2 S +REFENES(2) R IH0 - F IY1 N Z +REFER R AH0 - F ER1 +REFER(2) R IH0 - F ER1 +REFEREE R EH2 - F ER0 - IY1 +REFEREE'S R EH2 - F ER0 - IY1 Z +REFEREES R EH2 - F ER0 - IY1 Z +REFERENCE R EH1 - F ER0 - AH0 N S +REFERENCE(2) R EH1 - F R AH0 N S +REFERENCED R EH1 - F ER0 - AH0 N S T +REFERENCED(2) R EH1 - F R AH0 N S T +REFERENCES R EH1 - F ER0 - AH0 N - S IH0 Z +REFERENCES(2) R EH1 - F R AH0 N - S IH0 Z +REFERENCING R EH1 - F ER0 - AH0 N - S IH0 NG +REFERENCING(2) R EH1 - F R AH0 N - S IH0 NG +REFERENDA R EH2 - F ER0 - EH1 N - D AH0 +REFERENDUM R EH2 - F ER0 - EH1 N - D AH0 M +REFERENDUMS R EH2 - F ER0 - EH1 N - D AH0 M Z +REFERING R IH0 - F ER1 - IH0 NG +REFERRAL R IH0 - F ER1 - AH0 L +REFERRALS R IH0 - F ER1 - AH0 L Z +REFERRED R AH0 - F ER1 D +REFERRED(2) R IH0 - F ER1 D +REFERRING R IH0 - F ER1 - IH0 NG +REFERS R AH0 - F ER1 Z +REFERS(2) R IH0 - F ER1 Z +REFF R EH1 F +REFFETT R EH1 - F IH0 T +REFFITT R EH1 - F IH0 T +REFFNER R EH1 F - N ER0 +REFILE R IY0 - F AY1 L +REFILED R IY0 - F AY1 L D +REFILL R IY1 - F IH0 L +REFILL(2) R IY0 - F IH1 L +REFILLED R IY0 - F IH1 L D +REFILLS R IY0 - F IH1 L Z +REFILLS(2) R IY1 - F IH0 L Z +REFINANCE R IY2 - F AH0 - N AE1 N S +REFINANCE(2) R IY1 - F AY1 - N AE2 N S +REFINANCED R IY2 - F AH0 - N AE1 N S T +REFINANCED(2) R IY1 - F AY1 - N AE2 N S T +REFINANCES R IY2 - F AH0 - N AE1 N - S IH0 Z +REFINANCES(2) R IY1 - F AY1 - N AE2 N - S IH0 Z +REFINANCING R IY2 - F AH0 - N AE1 N - S IH0 NG +REFINANCING(2) R IY1 - F AY1 - N AE2 N - S IH0 NG +REFINANCINGS R IY2 - F AH0 - N AE1 N - S IH0 NG Z +REFINANCINGS(2) R IY1 - F AY1 - N AE2 N - S IH0 NG Z +REFINE R AH0 - F AY1 N +REFINE(2) R IH0 - F AY1 N +REFINED R AH0 - F AY1 N D +REFINED(2) R IH0 - F AY1 N D +REFINEMENT R AH0 - F AY1 N - M AH0 N T +REFINEMENTS R IH0 - F AY1 N - M AH0 N T S +REFINER R IH0 - F AY1 - N ER0 +REFINER'S R IH0 - F AY1 - N ER0 Z +REFINERIES R IH0 - F AY1 - N ER0 - IY0 Z +REFINERS R IH0 - F AY1 - N ER0 Z +REFINERS' R IH0 - F AY1 - N ER0 Z +REFINERY R IH0 - F AY1 - N ER0 - IY0 +REFINERY'S R IH0 - F AY1 - N ER0 - IY0 Z +REFINES R IH0 - F AY1 N Z +REFINING R AH0 - F AY1 - N IH0 NG +REFINING(2) R IH0 - F AY1 - N IH0 NG +REFINISH R IY0 - F IH1 - N IH0 SH +REFINISHED R IY0 - F IH1 - N IH0 SH T +REFINISHING R IY0 - F IH1 - N IH0 - SH IH0 NG +REFIT R IY0 - F IH1 T +REFITTED R IY0 - F IH1 - T IH0 D +REFITTING R IY0 - F IH1 - T IH0 NG +REFLAG R IY0 - F L AE1 G +REFLAGGED R IY0 - F L AE1 G D +REFLAGGING R IY0 - F L AE1 - G IH0 NG +REFLATE R IY0 - F L EY1 T +REFLATION R IY0 - F L EY1 - SH AH0 N +REFLECT R AH0 - F L EH1 K T +REFLECT(2) R IH0 - F L EH1 K T +REFLECTED R AH0 - F L EH1 K - T AH0 D +REFLECTED(2) R IH0 - F L EH1 K - T IH0 D +REFLECTING R AH0 - F L EH1 K - T IH0 NG +REFLECTING(2) R IH0 - F L EH1 K - T IH0 NG +REFLECTION R AH0 - F L EH1 K - SH AH0 N +REFLECTION(2) R IH0 - F L EH1 K - SH AH0 N +REFLECTIONS R IH0 - F L EH1 K - SH AH0 N Z +REFLECTIVE R IH0 - F L EH1 K - T IH0 V +REFLECTONE R IY0 - F L EH1 K - T OW2 N +REFLECTONE'S R IY0 - F L EH1 K - T OW2 N Z +REFLECTS R IH0 - F L EH1 K T S +REFLECTS(2) R IH0 - F L EH1 K S +REFLEX R IY1 - F L EH0 K S +REFLEXES R IY1 - F L EH0 K - S AH0 Z +REFLEXIVE R AH0 - F L EH1 K - S IH0 V +REFLEXIVELY R IY0 - F L EH1 K - S IH0 V - L IY0 +REFLEXIVITY R IY2 - F L EH2 K - S IH1 - V IH0 - T IY0 +REFOCUS R IY0 - F OW1 - K AH0 S +REFOCUSED R IY0 - F OW1 - K AH0 S T +REFOCUSES R IY0 - F OW1 - K AH0 - S IH0 Z +REFOCUSING R IY0 - F OW1 - K AH0 - S IH0 NG +REFOREST R IY0 - F AO1 - R AH0 S T +REFORESTATION R IY2 - F AO0 - R AH0 - S T EY1 - SH AH0 N +REFORM R AH0 - F AO1 R M +REFORM(2) R IH0 - F AO1 R M +REFORMA R IH0 - F AO1 R - M AH0 +REFORMATION R EH2 - F ER0 - M EY1 - SH AH0 N +REFORMATORIES R IH0 - F AO1 R - M AH0 - T AO2 - R IY0 Z +REFORMATORY R IH0 - F AO1 R - M AH0 - T AO2 - R IY0 +REFORMED R IH0 - F AO1 R M D +REFORMER R IH0 - F AO1 R - M ER0 +REFORMERS R IH0 - F AO1 R - M ER0 Z +REFORMERS' R IH0 - F AO1 R - M ER0 Z +REFORMING R IH0 - F AO1 R - M IH0 NG +REFORMIST R IH0 - F AO1 R - M IH0 S T +REFORMISTS R IH0 - F AO1 R - M IH0 S T S +REFORMISTS(2) R IH0 - F AO1 R - M IH0 S S +REFORMS R AH0 - F AO1 R M Z +REFORMS(2) R IH0 - F AO1 R M Z +REFORMULATE R IY0 - F AO1 R - M Y AH0 - L EY2 T +REFORMULATED R IY0 - F AO1 R - M Y AH0 - L EY2 - T IH0 D +REFRACTIVE R AH0 - F R AE1 K - T IH0 V +REFRACTOR R AH0 - F R AE1 K - T ER0 +REFRACTORIES R IH0 - F R AE1 K - T ER0 - IY0 Z +REFRACTORS R AH0 - F R AE1 K - T ER0 Z +REFRACTORY R AH0 - F R AE1 K - T ER0 - IY0 +REFRAIN R IH0 - F R EY1 N +REFRAINED R IH0 - F R EY1 N D +REFRAINING R IH0 - F R EY1 - N IH0 NG +REFRAINS R IH0 - F R EY1 N Z +REFRESH R IH0 - F R EH1 SH +REFRESHED R IY0 - F R EH1 SH T +REFRESHER R IH0 - F R EH1 - SH ER0 +REFRESHES R IH0 - F R EH1 - SH IH0 Z +REFRESHING R IH0 - F R EH1 - SH IH0 NG +REFRESHINGLY R IY0 - F R EH1 - SH IH0 NG - L IY0 +REFRESHMENT R AH0 - F R EH1 SH - M AH0 N T +REFRESHMENTS R AH0 - F R EH1 SH - M AH0 N T S +REFRIGERANT R IH0 - F R IH1 - JH ER0 - AH0 N T +REFRIGERANTS R IH0 - F R IH1 - JH ER0 - AH0 N T S +REFRIGERATE R IH0 - F R IH1 - JH ER0 - EY2 T +REFRIGERATED R IH0 - F R IH1 - JH ER0 - EY2 - T IH0 D +REFRIGERATION R IH0 - F R IH2 - JH ER0 - EY1 - SH AH0 N +REFRIGERATOR R AH0 - F R IH1 - JH ER0 - EY2 - T ER0 +REFRIGERATOR(2) R IH0 - F R IH1 - JH ER0 - EY2 - T ER0 +REFRIGERATORS R IH0 - F R IH1 - JH ER0 - EY2 - T ER0 Z +REFSNES R EH1 F S - N IY0 Z +REFUEL R IY0 - F Y UW1 - AH0 L +REFUELED R IY0 - F Y UW1 - AH0 L D +REFUELING R IY0 - F Y UW1 - AH0 L - IH0 NG +REFUELING(2) R IY0 - F Y UW1 - L IH0 NG +REFUGE R EH1 - F Y UW0 JH +REFUGE'S R EH1 - F Y UW0 - JH IH0 Z +REFUGEE R EH1 - F Y UW0 - JH IY0 +REFUGEES R EH1 - F Y UW2 - JH IY0 Z +REFUGEES' R EH1 - F Y UW2 - JH IY0 Z +REFUGES R EH1 - F Y UW0 - JH IH0 Z +REFUND R IH0 - F AH1 N D +REFUND(2) R IY1 - F AH2 N D +REFUNDABLE R IH0 - F AH1 N - D AH0 - B AH0 L +REFUNDED R IH0 - F AH1 N - D IH0 D +REFUNDING R IH0 - F AH1 N - D IH0 NG +REFUNDINGS R IY1 - F AH2 N - D IH0 NG Z +REFUNDS R IH0 - F AH1 N D Z +REFUNDS(2) R IY1 - F AH2 N D Z +REFURBISH R IY0 - F ER1 - B IH0 SH +REFURBISHED R IY0 - F ER1 - B IH0 SH T +REFURBISHING R IY0 - F ER1 - B IH0 - SH IH0 NG +REFURBISHMENT R IY0 - F ER1 - B IH0 SH - M AH0 N T +REFUSAL R AH0 - F Y UW1 - Z AH0 L +REFUSAL(2) R IH0 - F Y UW1 - Z AH0 L +REFUSALS R IH0 - F Y UW1 - Z AH0 L Z +REFUSE R AH0 - F Y UW1 Z +REFUSE(2) R EH1 - F Y UW2 Z +REFUSE(3) R IH0 - F Y UW1 Z +REFUSED R AH0 - F Y UW1 Z D +REFUSED(2) R IH0 - F Y UW1 Z D +REFUSENIK R IH0 - F Y UW1 Z - N IH0 K +REFUSENIKS R IH0 - F Y UW1 Z - N IH0 K S +REFUSES R AH0 - F Y UW1 - Z AH0 Z +REFUSES(2) R IH0 - F Y UW1 - Z IH0 Z +REFUSING R AH0 - F Y UW1 - Z IH0 NG +REFUSING(2) R IH0 - F Y UW1 - Z IH0 NG +REFUTATION R EH2 - F Y UW0 - T EY1 - SH AH0 N +REFUTE R IH0 - F Y UW1 T +REFUTED R IH0 - F Y UW1 - T IH0 D +REFUTES R IH0 - F Y UW1 T S +REFUTING R IH0 - F Y UW1 - T IH0 NG +REG R EH1 G +REGA R IY1 - G AH0 +REGAIN R IH0 - G EY1 N +REGAINED R IY0 - G EY1 N D +REGAINING R IH0 - G EY1 - N IH0 NG +REGAINS R IY0 - G EY1 N Z +REGAL R IY1 - G AH0 L +REGALADO R EY0 - G AA0 - L AA1 - D OW0 +REGALED R IH0 - G EY1 L D +REGALIA R IH0 - G EY1 - L Y AH0 +REGALING R IH0 - G EY1 - L IH0 NG +REGALLY R IY1 - G AH0 - L IY0 +REGAN R IY1 - G AH0 N +REGAN'S R IY1 - G AH0 N Z +REGARD R AH0 - G AA1 R D +REGARD(2) R IH0 - G AA1 R D +REGARDED R AH0 - G AA1 R - D AH0 D +REGARDED(2) R IH0 - G AA1 R - D IH0 D +REGARDING R AH0 - G AA1 R - D IH0 NG +REGARDING(2) R IH0 - G AA1 R - D IH0 NG +REGARDLESS R AH0 - G AA1 R D - L AH0 S +REGARDS R IH0 - G AA1 R D Z +REGAS R IY1 - G AH0 Z +REGATTA R IH0 - G AA1 - T AH0 +REGATTAS R AH0 - G AA1 - T AH0 Z +REGEHR R EH1 - G IH0 R +REGEL R EH1 - G AH0 L +REGEN R EH1 - G AH0 N +REGENCY R IY1 - JH AH0 N - S IY0 +REGENCY'S R IY1 - JH AH0 N - S IY0 Z +REGENERATE R IY0 - JH EH1 - N ER0 - EY2 T +REGENERATED R IY0 - JH EH1 - N ER0 - EY2 - T IH0 D +REGENERATING R IY0 - JH EH1 - N ER0 - EY2 - T IH0 NG +REGENERATION R IY0 - JH EH1 - N ER0 - EY1 - SH AH0 N +REGENERON R IY0 - JH EH1 - N ER0 - AO2 N +REGENSBURG R IY1 - G AH0 N Z - B ER0 G +REGENSTEINER R EH1 - G AH0 N - S T AY2 - N ER0 +REGENT R IY1 - JH AH0 N T +REGENTS R IY1 - JH AH0 N T S +REGER R IY1 - G ER0 +REGESTER R EH1 - JH IH0 - S T ER0 +REGGAE R EH1 - G EY2 +REGGIE R EH1 - JH IY0 +REGGIO R EH1 - JH IY0 - OW0 +REGGY R EH1 - G IY0 +REGIE R EH1 - G IY0 +REGIER R IY1 - G IY0 - ER0 +REGIME R AH0 - ZH IY1 M +REGIME'S R EY0 - ZH IY1 M Z +REGIME(2) R EY0 - ZH IY1 M +REGIMEN R EH1 - JH AH0 - M AH0 N +REGIMENS R EH1 - JH AH0 - M AH0 N Z +REGIMENT R EH1 - JH AH0 - M AH0 N T +REGIMENTAL R EH2 - JH AH0 - M EH1 N - T AH0 L +REGIMENTATION R EH2 - JH AH0 - M EH0 N - T EY1 - SH AH0 N +REGIMENTED R EH1 - JH AH0 - M EH2 N - T IH0 D +REGIMENTS R EH1 - JH AH0 - M AH0 N T S +REGIMES R AH0 - ZH IY1 M Z +REGIMES(2) R EY0 - ZH IY1 M Z +REGINA R IH0 - JH IY1 - N AH0 +REGINALD R EH1 - JH AH0 - N AH0 L D +REGINALD'S R EH1 - JH AH0 - N AH0 L D Z +REGION R IY1 - JH AH0 N +REGION'S R IY1 - JH AH0 N Z +REGIONAL R IY1 - JH AH0 - N AH0 L +REGIONALIZE R IY1 - JH AH0 N - AH0 - L AY2 Z +REGIONALIZED R IY1 - JH AH0 N - AH0 - L AY2 Z D +REGIONALLY R IY1 - JH AH0 N - AH0 - L IY0 +REGIONALS R IY1 - JH AH0 - N AH0 L Z +REGIONS R IY1 - JH AH0 N Z +REGIS R IY1 - JH IH0 S +REGISTER R EH1 - JH IH0 - S T ER0 +REGISTER'S R EH1 - JH IH0 - S T ER0 Z +REGISTERED R EH1 - JH IH0 - S T ER0 D +REGISTERING R EH1 - JH IH0 - S T ER0 - IH0 NG +REGISTERING(2) R EH1 - JH IH0 - S T R IH0 NG +REGISTERS R EH1 - JH AH0 - S T ER0 Z +REGISTERS(2) R EH1 - JH IH0 - S T ER0 Z +REGISTRANT R EH1 - JH AH0 S - T R AH0 N T +REGISTRANTS R EH1 - JH AH0 S - T R AH0 N T S +REGISTRAR R EH1 - JH IH0 - S T R AA2 R +REGISTRARS R EH1 - JH IH0 - S T R AA2 R Z +REGISTRATION R EH2 - JH IH0 S - T R EY1 - SH AH0 N +REGISTRATION(2) R EH2 - JH IH0 S - T R EY1 - SH AH0 N +REGISTRATIONS R EH2 - JH IH0 S - T R EY1 - SH AH0 N Z +REGISTRIES R EH1 - JH IH0 S - T R IY0 Z +REGISTRY R EH1 - JH IH0 S - T R IY0 +REGNER R EH1 G - N ER0 +REGNERY R EH1 G - N ER0 - IY0 +REGNIER R EH1 G - N IY0 - ER0 +REGO R EH1 - G OW0 +REGRESS R IY1 - G R EH0 S +REGRESS(2) R IH0 - G R EH1 S +REGRESSION R AH0 - G R EH1 - SH AH0 N +REGRESSIONS R AH0 - G R EH1 - SH AH0 N Z +REGRESSIVE R AH0 - G R EH1 - S IH0 V +REGRET R AH0 - G R EH1 T +REGRET(2) R IH0 - G R EH1 T +REGRETFUL R IH0 - G R EH1 T - F AH0 L +REGRETFULLY R IH0 - G R EH1 T - F AH0 - L IY0 +REGRETS R IH0 - G R EH1 T S +REGRETTABLE R IH0 - G R EH1 - T AH0 - B AH0 L +REGRETTABLY R IH0 - G R EH1 - T AH0 - B L IY0 +REGRETTED R IH0 - G R EH1 - T IH0 D +REGRETTING R IH0 - G R EH1 - T IH0 NG +REGROUP R IY0 - G R UW1 P +REGROUPED R IY0 - G R UW1 P T +REGROUPING R IY0 - G R UW1 - P IH0 NG +REGS R EH1 G Z +REGULA R EH0 - G UW1 - L AH0 +REGULAR R EH1 - G Y AH0 - L ER0 +REGULAR(2) R EY1 - G Y AH0 - L ER0 +REGULARITY R EH2 - G Y AH0 - L EH1 - R AH0 - T IY0 +REGULARLY R EH1 - G Y AH0 - L ER0 - L IY0 +REGULARS R EH1 - G Y AH0 - L ER0 Z +REGULATE R EH1 - G Y AH0 - L EY2 T +REGULATED R EH1 - G Y AH0 - L EY2 - T AH0 D +REGULATED(2) R EH1 - G Y AH0 - L EY2 - T IH0 D +REGULATES R EH1 - G Y AH0 - L EY2 T S +REGULATING R EH1 - G Y AH0 - L EY2 - T IH0 NG +REGULATION R EH2 - G Y AH0 - L EY1 - SH AH0 N +REGULATIONS R EH2 - G Y AH0 - L EY1 - SH AH0 N Z +REGULATIVE R EH1 - G Y AH0 - L EY2 - T IH0 V +REGULATOR R EH1 - G Y AH0 - L EY2 - T ER0 +REGULATOR'S R EH1 - G Y AH0 - L EY2 - T ER0 Z +REGULATORS R EH1 - G Y AH0 - L EY2 - T ER0 Z +REGULATORS' R EH1 - G Y AH0 - L EY2 - T ER0 Z +REGULATORY R EH1 - G Y AH0 - L AH0 - T AO2 - R IY0 +REGWAN R EH1 - G W AA0 N +REH R EH1 +REHA R IY1 - HH AH0 +REHAB R IY0 - HH AE0 B +REHABILITATE R IY2 HH - AH0 - B IH1 - L AH0 - T EY2 T +REHABILITATE(2) R IY2 - AH0 - B IH1 - L AH0 - T EY2 T +REHABILITATED R IY2 HH - AH0 - B IH1 - L AH0 - T EY2 - T IH0 D +REHABILITATED(2) R IY2 - AH0 - B IH1 - L AH0 - T EY2 - T IH0 D +REHABILITATING R IY2 HH - AH0 - B IH1 - L AH0 - T EY2 - T IH0 NG +REHABILITATING(2) R IY2 - AH0 - B IH1 - L AH0 - T EY2 - T IH0 NG +REHABILITATION R IY2 HH - AH0 - B IH2 - L AH0 - T EY1 - SH AH0 N +REHABILITATION(2) R IY2 - AH0 - B IH2 - L AH0 - T EY1 - SH AH0 N +REHABILITATIONS R IY2 HH - AH0 - B IH2 - L AH0 - T EY1 - SH AH0 N Z +REHABILITATIONS(2) R IY2 - AH0 - B IH2 - L AH0 - T EY1 - SH AH0 N Z +REHABILITATIVE R IY2 HH - AH0 - B IH1 - L AH0 - T EY2 - T IH0 V +REHABILITATIVE(2) R IY2 - AH0 - B IH1 - L AH0 - T EY2 - T IH0 V +REHABILITATOR R IY2 HH - AH0 - B IH1 - L AH0 - T EY0 - T ER0 +REHABILITATORS R IY2 HH - AH0 - B IH1 - L AH0 - T EY0 - T ER0 Z +REHABILITY R IY2 HH - AH0 - B IH1 - L AH0 - T IY0 +REHABILITY(2) R IY2 - AH0 - B IH1 - L AH0 - T IY0 +REHAK R EH1 - HH AH0 K +REHASH R IY0 - HH AE1 SH +REHASHING R IY0 - HH AE1 - SH IH0 NG +REHBEIN R EH1 - B AY0 N +REHBEIN(2) R EH1 - B IY0 N +REHBERG R EH1 - B ER0 G +REHBERGER R EH1 - B ER0 - G ER0 +REHDER R EH1 - D ER0 +REHEAR R IY0 - HH IH1 R +REHEARING R IY0 - HH IH1 - R IH0 NG +REHEARINGS R IY0 - HH IH1 - R IH0 NG Z +REHEARSAL R IH0 - HH ER1 - S AH0 L +REHEARSAL(2) R IY0 - HH ER1 - S AH0 L +REHEARSALS R IH0 - HH ER1 - S AH0 L Z +REHEARSE R IY0 - HH ER1 S +REHEARSED R IY0 - HH ER1 S T +REHEARSES R IY0 - HH ER1 - S IH0 Z +REHEARSING R IH0 - HH ER1 - S IH0 NG +REHER R EH1 R +REHFELD R EH1 - F EH2 L D +REHFELDT R EH1 - F EH2 L T +REHG R EH1 JH +REHIRE R IY0 - HH AY1 R +REHIRED R IY0 - HH AY1 - ER0 D +REHIRING R IY0 - HH AY1 - R IH0 NG +REHKOPF R EH1 - K AO0 P F +REHKOPF(2) R EH1 - K AO0 F +REHLING R EH1 - L IH0 NG +REHM R EH1 M +REHMAN R EH1 - M AH0 N +REHMANN R EH1 - M AH0 N +REHMER R EH1 - M ER0 +REHN R EH1 N +REHNQUIST R EH1 N - K W IH2 S T +REHOR R EH1 - HH ER0 +REHRIG R EH1 - R IH0 G +REHYDRATE R IY0 - HH AY1 - D R EY0 T +REHYDRATION R IY2 - HH AY0 - D R EY1 - SH AH0 N +REIBEL R AY1 - B AH0 L +REIBER R AY1 - B ER0 +REICH R AY1 K +REICH'S R AY1 K S +REICHARD R AY1 - K ER0 D +REICHARDT R AY1 - K AA0 R T +REICHART R IY1 - IH0 K - HH AA0 R T +REICHE R AY1 K +REICHEL R AY1 - K AH0 L +REICHELDERFER R AY1 - K IH0 L - D ER0 - F ER0 +REICHELT R AY1 - K IH0 L T +REICHENBACH R AY1 - K AH0 N - B AA2 K +REICHENBERG R AY1 - K AH0 N - B ER0 G +REICHENBERGER R AY1 - K AH0 N - B ER0 - G ER0 +REICHER R AY1 - K ER0 +REICHERT R AY1 - K ER0 T +REICHHOLD R AY1 K - HH OW2 L D +REICHHOLD'S R AY1 K - HH OW2 L D Z +REICHHOLD'S(2) R AY1 - K OW2 L D Z +REICHHOLD(2) R AY1 - K OW2 L D +REICHL R AY1 - K AH0 L +REICHLE R AY1 - K AH0 L +REICHLER R AY1 - K L ER0 +REICHLEY R AY1 K - L IY0 +REICHLIN R AY1 - K L IH0 N +REICHLING R AY1 - K AH0 L - IH0 NG +REICHLING(2) R AY1 - K L IH0 NG +REICHMAN R AY1 K - M AH0 N +REICHMANN R AY1 K - M AH0 N +REICHMANNS R AY1 K - M AH0 N Z +REICHMUTH R AY1 K - M UW2 TH +REICHOW R AY1 - K OW0 +REICHSTUHL R AY1 K - S T UW0 L +REICHWEIN R AY1 - K W AY2 N +REICK R IY1 K +REICKS R AY1 K S +REID R IY1 D +REID'S R IY1 D Z +REID-MILLER R IY1 D - M IH1 - L ER0 +REIDEL R AY1 - D AH0 L +REIDENBACH R AY1 - D IH0 N - B AA0 K +REIDER R IY1 - D ER0 +REIDERS R IY1 - D ER0 Z +REIDERS' R IY1 - D ER0 Z +REIDINGER R AY1 - D IH0 - NG ER0 +REIDT R IY1 D T +REIDY R IY1 - D IY0 +REIER R EY1 - ER0 +REIERSON R AY1 - ER0 - S AH0 N +REIF R IY1 F +REIFEL R AY1 - F AH0 L +REIFF R IY1 F +REIFSCHNEIDER R AY1 F SH - N AY0 - D ER0 +REIFSNYDER R AY1 F S - N AY0 - D ER0 +REIFSTECK R AY1 F - S T IH0 K +REIGEL R AY1 - G AH0 L +REIGER R AY1 - G ER0 +REIGHARD R AY1 G - HH ER0 D +REIGLE R IY1 - G AH0 L +REIGN R EY1 N +REIGNED R EY1 N D +REIGNING R EY1 - N IH0 NG +REIGNITE R IY0 - IH0 G - N AY1 T +REIGNITED R IY0 - IH0 G - N AY1 - T IH0 D +REIGNITING R IY0 - IH0 G - N AY1 - T IH0 NG +REIGNS R EY1 N Z +REIHER R AY1 - HH ER0 +REIHL R AY1 L +REIKI R EY1 - K IY0 +REIL R EY1 L +REILAND R AY1 - L AH0 N D +REILEY R EY1 - L IY0 +REILING R AY1 - L IH0 NG +REILLEY R EY1 - L IY0 +REILLY R AY1 - L IY0 +REILLY'S R AY1 - L IY0 Z +REILY R IY1 - L IY0 +REIM R IY1 M +REIMAN R AY1 - M AH0 N +REIMANN R AY1 - M AH0 N +REIMBURSE R IY2 - IH0 M - B ER1 S +REIMBURSED R IY2 - IH0 M - B ER1 S T +REIMBURSEMENT R IY2 - IH0 M - B ER1 S - M AH0 N T +REIMBURSEMENTS R IY2 - IH0 M - B ER1 S - M AH0 N T S +REIMBURSES R IY2 - IH0 M - B ER1 - S IH0 Z +REIMBURSING R IY2 - IH0 M - B ER1 - S IH0 NG +REIMER R AY1 - M ER0 +REIMERS R AY1 - M ER0 Z +REIMPOSE R IY0 - IH0 M - P OW1 Z +REIMPOSED R IY0 - IH0 M - P OW1 Z D +REIMPOSING R IY0 - IH0 M - P OW1 - Z IH0 NG +REIMPOSITION R IY0 - IH0 M - P AH0 - Z IH1 - SH AH0 N +REIN R EY1 N +REINA R EY0 - IY1 - N AH0 +REINALDO R EY2 - N AA1 L - D OW0 +REINARD R AY1 - N ER0 D +REINBOLD R AY1 N - B OW2 L D +REINBOLT R AY1 N - B OW2 L T +REINCARNATE R IY2 - IH0 N - K AA1 R - N EY2 T +REINCARNATED R IY2 - IH0 N - K AA1 R - N EY2 - T IH0 D +REINCARNATION R IY0 - IH0 N - K AA0 R - N EY1 - SH AH0 N +REINCKE R AY1 NG - K IY0 +REINCORPORATE R IY0 - IH0 N - K AO1 R - P ER0 - EY2 T +REINCORPORATING R IY0 - IH0 N - K AO1 R - P ER0 - EY2 - T IH0 NG +REINCORPORATION R IY0 - IH0 N - K AO2 R - P ER0 - EY1 - SH AH0 N +REINDEER R EY1 N - D IH2 R +REINDEL R AY1 N - D AH0 L +REINDERS R AY1 N - D ER0 Z +REINDL R AY1 N - D AH0 L +REINDUSTRIALIZE R IY0 - IH0 N - D AH1 S - T R IY0 - AH0 - L AY0 Z +REINE R EY1 N +REINECK R AY1 - N EH0 K +REINECKE R AY1 - N IH0 - K IY0 +REINED R EY1 N D +REINEKE R AY1 - N IH0 K +REINER R AY1 - N ER0 +REINER'S R AY1 - N ER0 Z +REINERS R AY1 - N ER0 Z +REINERT R AY1 - N ER0 T +REINERTSEN R AY1 - N ER0 T - S AH0 N +REINERTSON R AY1 - N ER0 T - S AH0 N +REINES R EY1 N Z +REINEY R EY1 - N IY0 +REINFORCE R IY2 - IH0 N - F AO1 R S +REINFORCED R IY2 - IH0 N - F AO1 R S T +REINFORCEMENT R IY2 - IH0 N - F AO1 R S - M AH0 N T +REINFORCEMENTS R IY2 - IH0 N - F AO1 R S - M AH0 N T S +REINFORCES R IY2 - IH0 N - F AO1 R - S IH0 Z +REINFORCING R IY2 - IH0 N - F AO1 R - S IH0 NG +REINGOLD R AY1 NG - G OW0 L D +REINHARD R AY1 N - HH AA2 R D +REINHARDT R AY1 N - HH AA2 R T +REINHART R AY1 N - HH AA2 R T +REINHART'S R AY1 N - HH AA0 R T S +REINHEIMER R AY1 N - HH AY2 - M ER0 +REINHOLD R AY1 N - HH OW0 L T +REINHOLZ R AY1 N - HH OW0 L Z +REINIG R AY1 - N IH0 G +REINING R EY1 - N IH0 NG +REININGER R AY1 - N IH0 - NG ER0 +REINITZ R AY1 - N IH0 T S +REINKE R EY1 NG K +REINKING R AY1 NG - K IH0 NG +REINOEHL R AY1 - N OW0 L +REINS R EY1 N Z +REINSCH R AY1 N SH +REINSDORF R AY1 N Z - D AO2 R F +REINSEL R AY1 N - S AH0 L +REINSPECT R IY0 - IH0 N - S P EH1 K T +REINSPECTION R IY0 - IH0 N - S P EH1 K - SH AH0 N +REINSPECTIONS R IY0 - IH0 N - S P EH1 K - SH AH0 N S +REINSTALL R IY2 - IH0 N - S T AA1 L +REINSTALLED R IY2 - IH0 N - S T AA1 L D +REINSTALLS R IY2 - IH0 N - S T AA1 L Z +REINSTATE R IY2 - IH0 N - S T EY1 T +REINSTATED R IY2 - IH0 N - S T EY1 - T IH0 D +REINSTATEMENT R IY2 - IH0 N - S T EY1 T - M AH0 N T +REINSTATING R IY2 - IH0 N - S T EY1 - T IH0 NG +REINSTEIN R AY1 N - S T AY2 N +REINSTITUTE R IY0 - IH1 N - S T IH0 - T UW0 T +REINSTITUTED R IY0 - IH1 N - S T IH0 - T UW0 - T IH0 D +REINSTITUTING R IY0 - IH1 N - S T AH0 - T UW2 - T IH0 NG +REINSURANCE R IY2 - IH0 N - SH UH1 - R AH0 N S +REINSURE R IY2 - IH0 N - SH UH1 R +REINSURED R IY2 - IH0 N - SH UH1 R D +REINSURER R IY2 - IH0 N - SH UH1 - R ER0 +REINSURERS R IY2 - IH0 N - SH UH1 - R ER0 Z +REINTEGRATE R IY0 - IH1 N - T AH0 - G R EY2 T +REINTEGRATED R IY0 - IH1 N - T AH0 - G R EY2 - T IH0 D +REINTEGRATION R IY0 - IH1 N - T AH0 - G R EY2 - SH AH0 N +REINTERPRET R IY2 - IH0 N - T ER1 - P R AH0 T +REINTERPRETATION R IY0 - IH0 N - T ER2 - P R AH0 - T EY1 - SH AH0 N +REINTERPRETED R IY0 - IH0 N - T ER1 - P R AH0 - T IH0 D +REINTERPRETING R IY0 - IH0 N - T ER1 - P R AH0 - T IH0 NG +REINTRODUCE R IY0 - IH0 N - T R AH0 - D UW1 S +REINTRODUCED R IY0 - IH0 N - T R AH0 - D UW1 S T +REINTRODUCES R IY0 - IH0 N - T R AH0 - D UW1 - S IH0 Z +REINTRODUCING R IY0 - IH0 N - T R AH0 - D UW1 - S IH0 NG +REINTRODUCTION R IY0 - IH0 N - T R AH0 - D AH1 K - SH AH0 N +REINTS R AY1 N T S +REINVENT R IY0 - IH0 N - V EH1 N T +REINVENTED R IY0 - IH0 N - V EH1 N - T IH0 D +REINVENTING R IY0 - IH0 N - V EH1 N - T IH0 NG +REINVENTION R IY0 - IH0 N - V EH1 N - SH AH0 N +REINVEST R IY2 - IH0 N - V EH1 S T +REINVESTED R IY2 - IH0 N - V EH1 - S T IH0 D +REINVESTING R IY2 - IH0 N - V EH1 - S T IH0 NG +REINVESTMENT R IY2 - IH0 N - V EH1 S T - M AH0 N T +REINVESTMENT(2) R IY2 - IH0 N - V EH1 S - M AH0 N T +REINVESTS R IY2 - IH0 N - V EH1 S T S +REINVESTS(2) R IY2 - IH0 N - V EH1 S S +REINVESTS(3) R IY2 - IH0 N - V EH1 S +REINVIGORATE R IY2 - IH0 N - V IH1 - G ER0 - EY2 T +REINVIGORATED R IY2 - IH0 N - V IH1 - G ER0 - EY2 - T IH0 D +REINVIGORATING R IY2 - IH0 N - V IH1 - G ER0 - EY2 - T IH0 NG +REINVIGORATION R IY0 - IH0 N - V IH2 - G ER0 - EY1 - SH AH0 N +REINVITE R IY2 - IH0 N - V AY1 T +REINVITED R IY2 - IH0 N - V AY1 - T IH0 D +REINWALD R AY1 N - W AO2 L D +REIS R IY1 Z +REISCH R AY1 SH +REISCHAUER R AY1 - SH AW0 R +REISCHMAN R AY1 SH - M AH0 N +REISDORF R AY1 S - D AO0 R F +REISE R IY1 S +REISEN R AY1 - S AH0 N +REISENAUER R AY1 - S IH0 - N AW0 - ER0 +REISER R AY1 - S ER0 +REISERT R AY1 - S ER0 T +REISH R IY1 - IH0 SH +REISIG R AY1 - S IH0 G +REISING R AY1 - S IH0 NG +REISINGER R AY1 - S IH0 N - JH ER0 +REISMAN R AY1 S - M AH0 N +REISNER R AY1 S - N ER0 +REISS R AY1 S +REISSIG R AY1 - S IH0 G +REISSMAN R AY1 S - M AH0 N +REISSUE R IY0 - IH1 - SH UW0 +REISSUED R IY0 - IH1 - SH UW0 D +REISSUING R IY0 - IH1 - SH UW0 - IH0 NG +REIST R IY1 - IH0 S T +REISTER R IY1 - IH0 - S T ER0 +REISWIG R AY1 S - W IH0 G +REISZ R AY1 SH +REIT R AY1 T +REITAN R AY1 - T AH0 N +REITANO R EY0 - IY0 - T AA1 - N OW0 +REITEN R AY1 - T AH0 N +REITER R AY1 - T ER0 +REITERATE R IY0 - IH1 - T ER0 - EY2 T +REITERATED R IY0 - IH1 - T ER0 - EY2 - T IH0 D +REITERATES R IY0 - IH1 - T ER0 - EY2 S +REITERATING R IY0 - IH1 - T ER0 - EY2 - T IH0 NG +REITERATION R IY0 - IH2 - T ER0 - EY1 - SH AH0 N +REITH R IY1 TH +REITHER R AY1 - DH ER0 +REITMAN R AY1 T - M AH0 N +REITMEIER R AY1 T - M AY0 - ER0 +REITMEYER R AY1 T - M AY0 - ER0 +REITS R AY1 T S +REITSMA R AY1 T S - M AH0 +REITTER R AY1 - T ER0 +REITZ R AY1 T S +REITZEL R AY1 T - S AH0 L +REITZES R AY1 T - S IH0 Z +REITZFELD R IY2 T S - F EH0 L D +REITZFELD(2) R AY2 T S - F EH0 L D +REJECT R IH0 - JH EH1 K T +REJECT(2) R IY1 - JH EH0 K T +REJECTED R IH0 - JH EH1 K - T IH0 D +REJECTED(2) R IY0 - JH EH1 K - T AH0 D +REJECTED(3) R IY0 - JH EH1 K - T IH0 D +REJECTING R IH0 - JH EH1 K - T IH0 NG +REJECTING(2) R IY0 - JH EH1 K - T IH0 NG +REJECTION R IH0 - JH EH1 K - SH AH0 N +REJECTION(2) R IY0 - JH EH1 K - SH AH0 N +REJECTIONIST R IH0 - JH EH1 K - SH AH0 - N IH0 S T +REJECTIONIST(2) R IY0 - JH EH1 K - SH AH0 - N IH0 S T +REJECTIONISTS R IH0 - JH EH1 K - SH AH0 - N IH0 S T S +REJECTIONISTS(2) R IY0 - JH EH1 K - SH AH0 - N IH0 S T S +REJECTIONS R IH0 - JH EH1 K - SH AH0 N Z +REJECTIONS(2) R IY0 - JH EH1 K - SH AH0 N Z +REJECTS R IH0 - JH EH1 K T S +REJECTS(2) R IY1 - JH EH0 K T S +REJECTS(3) R IH0 - JH EH1 K S +REJECTS(4) R IY1 - JH EH0 K S +REJIGGERING R IY0 - JH IH1 - G ER0 - IH0 NG +REJOICE R IH0 - JH OY1 S +REJOICED R IH0 - JH OY1 S T +REJOICING R IH0 - JH OY1 - S IH0 NG +REJOIN R IY0 - JH OY1 N +REJOINDER R IH0 - JH OY1 N - D ER0 +REJOINDER(2) R IY0 - JH OY1 N - D ER0 +REJOINED R IY0 - JH OY1 N D +REJOINING R IY0 - JH OY1 - N IH0 NG +REJOINS R IY0 - JH OY1 N Z +REJUVENATE R IH0 - JH UW1 - V AH0 - N EY2 T +REJUVENATED R IH0 - JH UW1 - V AH0 - N EY2 - T IH0 D +REJUVENATES R IH0 - JH UW1 - V IH0 - N EY2 T S +REJUVENATING R IY0 - JH UW1 - V AH0 - N EY2 - T IH0 NG +REJUVENATION R IH0 - JH UW2 - V AH0 - N EY1 - SH AH0 N +REKENTHALER R EH1 - K AH0 N - T AA2 - L ER0 +REKENTHALER(2) R EH1 - K AH0 N - TH AA2 - L ER0 +REKER R IY1 - K ER0 +REKINDLE R IY0 - K IH1 N - D AH0 L +REKINDLED R IY0 - K IH1 N - D AH0 L D +REKINDLING R IY0 - K IH1 N D - L IH0 NG +RELABEL R IY0 - L EY1 - B AH0 L +RELAPSE R IY0 - L AE1 P S +RELAPSED R IY0 - L AE1 P S T +RELAPSES R IY0 - L AE1 P - S IH0 Z +RELAPSES(2) R IH0 - L AE1 P - S IH0 Z +RELAPSING R IH0 - L AE1 P - S IH0 NG +RELATE R IH0 - L EY1 T +RELATE(2) R IY0 - L EY1 T +RELATED R IH0 - L EY1 - T IH0 D +RELATED(2) R IY0 - L EY1 - T AH0 D +RELATED(3) R IY0 - L EY1 - T IH0 D +RELATES R IH0 - L EY1 T S +RELATES(2) R IY0 - L EY1 T S +RELATING R IH0 - L EY1 - T IH0 NG +RELATING(2) R IY0 - L EY1 - T IH0 NG +RELATION R IY0 - L EY1 - SH AH0 N +RELATIONAL R IY0 - L EY1 - SH AH0 - N AH0 L +RELATIONS R IY0 - L EY1 - SH AH0 N Z +RELATIONSHIP R IY0 - L EY1 - SH AH0 N - SH IH2 P +RELATIONSHIPS R IY0 - L EY1 - SH AH0 N - SH IH2 P S +RELATIVE R EH1 - L AH0 - T IH0 V +RELATIVE'S R EH1 - L AH0 - T IH0 V Z +RELATIVELY R EH1 - L AH0 - T IH0 V - L IY0 +RELATIVES R EH1 - L AH0 - T IH0 V Z +RELATIVISM R EH1 - L AH0 - T IH0 - V IH2 - Z AH0 M +RELATIVISTIC R EH2 - L AH0 - T IH0 - V IH1 - S T IH0 K +RELATIVITY R EH2 - L AH0 - T IH1 - V AH0 - T IY0 +RELAUNCH R IY0 - L AO1 N CH +RELAUNCHED R IY0 - L AO1 N CH T +RELAX R IH0 - L AE1 K S +RELAX(2) R IY0 - L AE1 K S +RELAXATION R IY2 - L AE0 K - S EY1 - SH AH0 N +RELAXED R IH0 - L AE1 K S T +RELAXED(2) R IY0 - L AE1 K S T +RELAXES R IH0 - L AE1 K - S IH0 Z +RELAXING R IH0 - L AE1 K - S IH0 NG +RELAXING(2) R IY0 - L AE1 K - S IH0 NG +RELAY R IY1 - L EY2 +RELAYED R IY1 - L EY2 D +RELAYING R IY1 - L EY2 - IH0 NG +RELAYS R IY1 - L EY2 Z +RELEARN R IY0 - L EH1 R N +RELEARNING R IY0 - L EH1 R - N IH0 NG +RELEASE R IY0 - L IY1 S +RELEASED R IY0 - L IY1 S T +RELEASES R IH0 - L IY1 - S IH0 Z +RELEASING R IY0 - L IY1 - S IH0 NG +RELEFORD R EH1 - L IH0 - F ER0 D +RELEGATE R EH1 - L AH0 - G EY2 T +RELEGATED R EH1 - L AH0 - G EY2 - T IH0 D +RELEGATING R EH1 - L AH0 - G EY2 - T IH0 NG +RELEND R IY0 - L EH1 N D +RELENDING R IY0 - L EH1 N - D IH0 NG +RELENT R IH0 - L EH1 N T +RELENTED R IH0 - L EH1 N - T IH0 D +RELENTED(2) R IY0 - L EH1 N - T IH0 D +RELENTED(3) R AH0 - L EH1 - N AH0 D +RELENTED(4) R IY0 - L EH1 - N AH0 D +RELENTING R IH0 - L EH1 N - T IH0 NG +RELENTLESS R IH0 - L EH1 N T - L IH0 S +RELENTLESSLY R IH0 - L EH1 N T - L AH0 S - L IY0 +RELEVANCE R EH1 - L AH0 - V AH0 N S +RELEVANCY R EH1 - L AH0 - V AH0 N - S IY0 +RELEVANT R EH1 - L AH0 - V AH0 N T +RELF R EH1 L F +RELFORD R EH1 L - F ER0 D +RELIABILITY R IY0 - L AY2 - AH0 - B IH1 - L AH0 - T IY0 +RELIABLE R IH0 - L AY1 - AH0 - B AH0 L +RELIABLE(2) R IY0 - L AY1 - AH0 - B AH0 L +RELIABLY R IH0 - L AY1 - AH0 - B L IY0 +RELIABLY(2) R IY0 - L AY1 - AH0 - B L IY0 +RELIANCE R IH0 - L AY1 - AH0 N S +RELIANCE'S R IH0 - L AY1 - AH0 N - S IH0 Z +RELIANCE'S(2) R IY0 - L AY1 - AH0 N - S IH0 Z +RELIANCE(2) R IY0 - L AY1 - AH0 N S +RELIANT R IH0 - L AY1 - AH0 N T +RELIANT(2) R IY0 - L AY1 - AH0 N T +RELIC R EH1 - L IH0 K +RELICS R EH1 - L IH0 K S +RELIED R IH0 - L AY1 D +RELIED(2) R IY0 - L AY1 D +RELIEF R IH0 - L IY1 F +RELIEF(2) R IY0 - L IY1 F +RELIEFS R IY0 - L IY1 F S +RELIES R IH0 - L AY1 Z +RELIES(2) R IY0 - L AY1 Z +RELIEVE R IH0 - L IY1 V +RELIEVE(2) R IY0 - L IY1 V +RELIEVED R IH0 - L IY1 V D +RELIEVED(2) R IY0 - L IY1 V D +RELIEVER R IY0 - L IY1 - V ER0 +RELIEVERS R IY0 - L IY1 - V ER0 Z +RELIEVES R IY0 - L IY1 V Z +RELIEVING R IH0 - L IY1 - V IH0 NG +RELIEVING(2) R IY0 - L IY1 - V IH0 NG +RELIFORD R EH1 - L IH0 - F AO0 R D +RELIGION R IH0 - L IH1 - JH AH0 N +RELIGION'S R IH0 - L IH1 - JH AH0 N Z +RELIGION(2) R IY0 - L IH1 - JH AH0 N +RELIGIONE R IH0 - L IH2 - JH IY0 - OW1 - N IY0 +RELIGIONIST R IY0 - L IH1 - JH AH0 - N IH0 S T +RELIGIONS R IY0 - L IH1 - JH AH0 N Z +RELIGIOSITY R IH0 - L IH2 - JH IY0 - AA1 - S AH0 - T IY0 +RELIGIOUS R IH0 - L IH1 - JH AH0 S +RELIGIOUS(2) R IY0 - L IH1 - JH AH0 S +RELIGIOUSLY R IH0 - L IH1 - JH AH0 S - L IY0 +RELINQUISH R IH0 - L IH1 NG - K W IH0 SH +RELINQUISH(2) R IY0 - L IH1 NG - K W IH0 SH +RELINQUISHED R IH0 - L IH1 NG - K W IH0 SH T +RELINQUISHED(2) R IY0 - L IH1 NG - K W IH0 SH T +RELINQUISHES R IH0 - L IH1 NG - K W IH0 - SH IH0 Z +RELINQUISHING R IY0 - L IH1 NG - K W IH0 - SH IH0 NG +RELISH R EH1 - L IH0 SH +RELISHED R EH1 - L IH0 SH T +RELISHES R EH1 - L IH0 - SH AH0 Z +RELISHES(2) R EH1 - L IH0 - SH IH0 Z +RELISHING R EH1 - L IH0 - SH IH0 NG +RELIVE R IY0 - L IH1 V +RELIVED R IY0 - L IH1 V D +RELIVING R IY0 - L IH1 - V IH0 NG +RELLA R EH1 - L AH0 +RELLER R EH1 - L ER0 +RELMAN R EH1 L - M AH0 N +RELOAD R IY0 - L OW1 D +RELOADABLE R IY0 - L OW1 - D AH0 - B AH0 L +RELOADED R IY0 - L OW1 - D IH0 D +RELOADS R IY0 - L OW1 D Z +RELOCATE R IY0 - L OW1 - K EY0 T +RELOCATED R IY0 - L OW1 - K EY0 - T IH0 D +RELOCATING R IY0 - L OW1 - K EY0 - T IH0 NG +RELOCATION R IY0 - L OW1 - K EY1 - SH AH0 N +RELOCATIONS R IY0 - L OW1 - K EY1 - SH AH0 N Z +RELONDO R IH0 - L AO1 N - D OW0 +RELORAL R IY0 - L AO1 - R AH0 L +RELPH R EH1 L F +RELUCTANCE R IH0 - L AH1 K - T AH0 N S +RELUCTANCE(2) R IY0 - L AH1 K - T AH0 N S +RELUCTANT R IH0 - L AH1 K - T AH0 N T +RELUCTANT(2) R IY0 - L AH1 K - T AH0 N T +RELUCTANTLY R IH0 - L AH1 K - T AH0 N T - L IY0 +RELY R IH0 - L AY1 +RELY(2) R IY0 - L AY1 +RELYEA R EH1 L - Y EY2 +RELYING R IY0 - L AY1 - IH0 NG +REM R EH1 M +REMADE R IY0 - M EY1 D +REMAIN R IH0 - M EY1 N +REMAIN(2) R IY0 - M EY1 N +REMAINDER R IH0 - M EY1 N - D ER0 +REMAINDER(2) R IY0 - M EY1 N - D ER0 +REMAINED R IH0 - M EY1 N D +REMAINED(2) R IY0 - M EY1 N D +REMAINING R IH0 - M EY1 - N IH0 NG +REMAINING(2) R IY0 - M EY1 - N IH0 NG +REMAINS R IH0 - M EY1 N Z +REMAINS(2) R IY0 - M EY1 N Z +REMAKE R IY1 - M EY1 K +REMAKES R IY1 - M EY1 K S +REMAKING R IY1 - M EY1 - K IH0 NG +REMALEY R EH1 - M AH0 - L IY0 +REMALY R IY1 - M AH0 - L IY0 +REMAND R IH0 - M AE1 N D +REMANDED R IH0 - M AE1 N - D IH0 D +REMANUFACTURE R IY2 - M AE2 - N Y UW0 - F AE1 K - CH ER0 +REMANUFACTURE(2) R IY2 - M AE2 - N Y AH0 - F AE1 K - CH ER0 +REMANUFACTURED R IY2 - M AE2 - N Y UW0 - F AE1 K - CH ER0 D +REMANUFACTURED(2) R IY2 - M AE2 - N Y AH0 - F AE1 K - CH ER0 D +REMARK R IH0 - M AA1 R K +REMARK(2) R IY0 - M AA1 R K +REMARKABLE R IH0 - M AA1 R - K AH0 - B AH0 L +REMARKABLE(2) R IY0 - M AA1 R - K AH0 - B AH0 L +REMARKABLY R IH0 - M AA1 R - K AH0 - B L IY0 +REMARKABLY(2) R IY0 - M AA1 R - K AH0 - B L IY0 +REMARKED R IH0 - M AA1 R K T +REMARKED(2) R IY0 - M AA1 R K T +REMARKET R IY0 - M AA1 R - K AH0 T +REMARKETED R IY0 - M AA1 R - K AH0 - T IH0 D +REMARKETING R IY0 - M AA1 R - K AH0 - T IH0 NG +REMARKING R IH0 - M AA1 R - K IH0 NG +REMARKS R IH0 - M AA1 R K S +REMARKS(2) R IY0 - M AA1 R K S +REMARRIAGE R IY0 - M EH1 - R IH0 JH +REMARRIED R IY0 - M EH1 - R IY0 D +REMARRY R IY0 - M EH1 - R IY0 +REMARRYING R IY0 - M EH1 - R IY0 - IH0 NG +REMATCH R IY1 - M AE1 CH +REMBERT R EH1 M - B ER0 T +REMBOLD R EH1 M - B OW2 L D +REMBRANDT R EH1 M - B R AE2 N T +REMBRANDT'S R EH1 M - B R AE2 N T S +REMBRANDTS R EH1 M - B R AE2 N T S +REMCO R EH1 M - K OW0 +REMEDIAL R IH0 - M IY1 - D IY0 - AH0 L +REMEDIATE R IY0 - M IY1 - D IY0 - AH0 T +REMEDIATE(2) R IY0 - M IY1 - D IY0 - EY2 T +REMEDIATION R IH0 - M IY2 - D IY0 - EY1 - SH AH0 N +REMEDIED R EH1 - M AH0 - D IY0 D +REMEDIES R EH1 - M AH0 - D IY0 Z +REMEDY R EH1 - M AH0 - D IY0 +REMEDYING R EH1 - M AH0 - D IY0 - IH0 NG +REMEMBER R IH0 - M EH1 M - B ER0 +REMEMBER(2) R IY0 - M EH1 M - B ER0 +REMEMBERED R IH0 - M EH1 M - B ER0 D +REMEMBERED(2) R IY0 - M EH1 M - B ER0 D +REMEMBERING R IH0 - M EH1 M - B ER0 - IH0 NG +REMEMBERING(2) R IY0 - M EH1 M - B ER0 - IH0 NG +REMEMBERING(3) R IH0 - M EH1 M - B R IH0 NG +REMEMBERING(4) R IY0 - M EH1 M - B R IH0 NG +REMEMBERS R IH0 - M EH1 M - B ER0 Z +REMEMBERS(2) R IY0 - M EH1 M - B ER0 Z +REMEMBRANCE R IY0 - M EH1 M - B R AH0 N S +REMEMBRANCES R IH0 - M EH1 M - B R AH0 N - S IH0 Z +REMER R IY1 - M ER0 +REMERCHANDISE R IY0 - M ER1 - CH AH0 N - D AY2 Z +REMERCHANDISED R IY0 - M ER1 - CH AH0 N - D AY2 Z D +REMI R EH1 - M IY0 +REMIC R EH1 - M IH0 K +REMICK R EH1 - M IH0 K +REMICS R EH1 - M IH0 K S +REMIGIO R IH0 - M IH1 - JH IY0 - OW0 +REMILLARD R EH1 - M IH0 - L ER0 D +REMIND R IY0 - M AY1 N D +REMINDED R IY0 - M AY1 N - D AH0 D +REMINDED(2) R IY0 - M AY1 N - D IH0 D +REMINDER R IY0 - M AY1 N - D ER0 +REMINDERS R IY0 - M AY1 N - D ER0 Z +REMINDING R IY0 - M AY1 N - D IH0 NG +REMINDS R IY0 - M AY1 N D Z +REMINGTON R EH1 - M IH0 NG - T AH0 N +REMINGTONS R EH1 - M IH0 NG - T AH0 N Z +REMINISCE R EH2 - M AH0 - N IH1 S +REMINISCED R EH2 - M AH0 - N IH1 S T +REMINISCENCE R EH2 - M AH0 - N IH1 - S AH0 N S +REMINISCENCES R EH2 - M AH0 - N IH1 - S AH0 N - S IH0 Z +REMINISCENT R EH2 - M AH0 - N IH1 - S AH0 N T +REMINISCES R EH2 - M AH0 - N IH1 - S IH0 Z +REMINISCING R EH2 - M AH0 - N IH1 - S IH0 NG +REMIS R EY1 - M IY0 Z +REMISS R IY0 - M IH1 S +REMISSES R IY0 - M IH1 - S IH0 Z +REMISSION R IY0 - M IH1 - SH AH0 N +REMISSIONS R IY0 - M IH1 - SH AH0 N Z +REMIT R IY0 - M IH1 T +REMITTANCE R IY0 - M IH1 - T AH0 N S +REMITTANCE(2) R AH0 - M IH1 - T AH0 N S +REMITTANCES R IY0 - M IH1 - T AH0 N - S IH0 Z +REMITTANCES(2) R AH0 - M IH1 - T AH0 N - S IH0 Z +REMITTED R IY0 - M IH1 - T IH0 D +REMLEY R EH1 M - L IY0 +REMLINGER R EH1 - M AH0 - L IH0 - NG ER0 +REMLINGER(2) R EH1 M - L IH0 - NG ER0 +REMME R EH1 M +REMMEL R EH1 - M AH0 L +REMMERS R EH1 - M ER0 Z +REMMERT R EH1 - M ER0 T +REMMINGTON R EH1 - M IH0 NG - T IH0 N +REMNANT R EH1 M - N AH0 N T +REMNANTS R EH1 M - N AH0 N T S +REMNICK R EH1 M - N IH0 K +REMO R EH1 - M OW0 +REMODEL R IY0 - M AA1 - D AH0 L +REMODELED R IY0 - M AA1 - D AH0 L D +REMODELING R IH0 - M AA1 - D AH0 L - IH0 NG +REMODELING(2) R IH0 - M AA1 D - L IH0 NG +REMOLD R IY0 - M OW1 L D +REMOLDED R IY0 - M OW1 L - D IH0 D +REMORSE R IH0 - M AO1 R S +REMORSEFUL R IH0 - M AO1 R S - F AH0 L +REMORSELESS R IH0 - M AO1 R S - L AH0 S +REMOTE R IH0 - M OW1 T +REMOTE(2) R IY0 - M OW1 T +REMOTELY R IY0 - M OW1 T - L IY0 +REMOTENESS R IY0 - M OW1 T - N AH0 S +REMOTEST R IH0 - M OW1 - T AH0 S T +REMOULDED R IY0 - M OW1 L - D IH0 D +REMOVABLE R IH0 - M UW1 - V AH0 - B AH0 L +REMOVAL R IH0 - M UW1 - V AH0 L +REMOVALS R IH0 - M UW1 - V AH0 L Z +REMOVE R IY0 - M UW1 V +REMOVED R IY0 - M UW1 V D +REMOVER R IH0 - M UW1 - V ER0 +REMOVES R IY0 - M UW1 V Z +REMOVING R IY0 - M UW1 - V IH0 NG +REMPAC R EH1 M - P AE2 K +REMPE R EH1 M P +REMPEL R EH1 M - P AH0 L +REMPFER R EH1 M P - F ER0 +REMSBERG R EH1 M S - B ER0 G +REMSBURG R EH1 M S - B ER0 G +REMSEN R EH1 M - S AH0 N +REMSON R EH1 M - S AH0 N +REMUNERATE R IH0 - M Y UW2 - N ER0 - EY1 T +REMUNERATION R IH0 - M Y UW2 - N ER0 - EY1 - SH AH0 N +REMUNERATIVE R IY0 - M Y UW1 - N ER0 - AH0 - T IH0 V +REMUS R IY1 - M AH0 S +REMY R EH1 - M IY0 +REN R EH1 N +RENA R IY1 - N AH0 +RENAISSANCE R EH2 - N AH0 - S AA1 N S +RENAISSANCE'S R EH2 - N AH0 - S AA1 N - S IH0 Z +RENAL R IY1 - N AH0 L +RENALDO R EH0 - N AA1 L - D OW0 +RENAME R IY0 - N EY1 M +RENAMED R IY0 - N EY1 M D +RENAMING R IY0 - N EY1 - M IH0 NG +RENAMO R EH0 - N AA1 - M OW0 +RENARD R IH0 - N AA1 R D +RENATA R AH0 - N AA1 - T AH0 +RENATE R AH0 - N AA1 - T AH0 +RENATIONALIZATION R IY0 - N AE2 - SH AH0 N - AH0 - L IH0 - Z EY1 - SH AH0 N +RENATIONALIZE R IY0 - N AE1 - SH AH0 N - AH0 - L AY2 Z +RENATO R EH0 - N AA1 - T OW0 +RENAUD R IH0 - N OW1 +RENAULT R AH0 - N OW1 +RENAULT'S R IH0 - N AO1 L T S +RENAULT'S(2) R AH0 - N OW1 Z +RENAULT(2) R IH0 - N AO1 L T +RENBARGER R EH1 N - B AA2 R - G ER0 +RENCEN R EH1 N - S AH0 N +RENCH R EH1 N CH +RENCHER R EH1 N - CH ER0 +RENCO R EH1 N - K OW0 +RENDA R EH1 N - D AH0 +RENDALL R EH1 N - D AH0 L +RENDE R EH1 N D +RENDELL R EH1 N - D AH0 L +RENDELL'S R EH1 N - D AH0 L Z +RENDER R EH1 N - D ER0 +RENDERED R EH1 N - D ER0 D +RENDERING R EH1 N - D ER0 - IH0 NG +RENDERINGS R EH1 N - D ER0 - IH0 NG Z +RENDERS R EH1 N - D ER0 Z +RENDEZVOUS R AA1 N - D IH0 - V UW2 +RENDINA R EH0 N - D IY1 - N AH0 +RENDING R EH1 N - D IH0 NG +RENDITION R EH0 N - D IH1 - SH AH0 N +RENDITIONS R EH0 N - D IH1 - SH AH0 N Z +RENDLEMAN R EH1 N - D AH0 L - M AH0 N +RENDON R EH1 N - D OW0 N +RENE R AH0 - N EY1 +RENEAU R IH0 - N OW1 +RENEE R AH0 - N EY1 +RENEGADE R EH1 - N AH0 - G EY2 D +RENEGADES R EH1 - N AH0 - G EY2 D Z +RENEGAR R EH1 - N IH0 - G ER0 +RENEGE R IH0 - N IH1 G +RENEGED R IH0 - N IH1 G D +RENEGING R IH0 - N IH1 - G IH0 NG +RENEGOTIATE R IY2 - N IH0 - G OW1 - SH IY0 - EY2 T +RENEGOTIATED R IY2 - N IH0 - G OW1 - SH IY0 - EY2 - T IH0 D +RENEGOTIATING R IY2 - N IH0 - G OW1 - SH IY0 - EY2 - T IH0 NG +RENEGOTIATION R IY2 - N IH0 - G OW2 - SH IY0 - EY1 - SH AH0 N +RENEGOTIATIONS R IY2 - N IH0 - G OW2 - SH IY0 - EY1 - SH AH0 N Z +RENEHAN R EH1 - N IH0 - HH AE0 N +RENEW R IH0 - N UW1 +RENEWABLE R IY0 - N UW1 - AH0 - B AH0 L +RENEWAL R IH0 - N UW1 - AH0 L +RENEWALS R IH0 - N UW1 - AH0 L Z +RENEWED R IH0 - N UW1 D +RENEWED(2) R IY0 - N UW1 D +RENEWING R IH0 - N UW1 - IH0 NG +RENEWS R IH0 - N UW1 Z +RENFRED R EH1 N - F ER0 D +RENFREW R EH1 N - F R UW0 +RENFRO R EH1 N - F R OW0 +RENFROE R EH1 N - F R OW0 +RENFROW R EH1 N - F R AW0 +RENGEL R EH1 NG - G AH0 L +RENGO R EH1 NG - G OW0 +RENGO'S R EH1 NG - G OW0 Z +RENICK R EH1 - N IH0 K +RENIER R IY1 - N IY0 - ER0 +RENIN R IY1 - N AH0 N +RENISON R EH1 - N IH0 - S AH0 N +RENITA R EH0 - N IY1 - T AH0 +RENK R EH1 NG K +RENKEN R EH1 NG - K AH0 N +RENKO R EH1 NG - K OW0 +RENMINBI R EH0 N - M IH1 N - B IY0 +RENN R EH1 N +RENNA R EH1 - N AH0 +RENNARD R IH0 - N AA1 R D +RENNE R EH1 N +RENNELS R EH1 - N AH0 L Z +RENNER R EH1 - N ER0 +RENNERT R EH1 - N ER0 T +RENNET R EH1 - N AH0 T +RENNICK R EH1 - N IH0 K +RENNIE R EH1 - N IY0 +RENNINGER R EH1 - N IH0 - NG ER0 +RENNO R EH1 - N OW0 +RENNY R EH1 - N IY0 +RENO R IY1 - N OW0 +RENO'S R IY1 - N OW0 Z +RENOIR R EH0 N - W AA1 R +RENOIRS R EH0 N - W AA1 R Z +RENOMINATE R IY0 - N AO1 - M IH0 - N EY2 T +RENOMINATED R IY0 - N AA1 - M AH0 - N EY2 - T IH0 D +RENOMINATION R IY1 - N AA2 - M AH0 - N EY1 - SH AH0 N +RENOUF R AH0 - N UW1 F +RENOUNCE R IH0 - N AW1 N S +RENOUNCED R IH0 - N AW1 N S T +RENOUNCES R IH0 - N AW1 N - S IH0 Z +RENOUNCING R IH0 - N AW1 N - S IH0 NG +RENOVATABLE R EH1 - N AH0 - V EY2 - T AH0 - B AH0 L +RENOVATE R EH1 - N AH0 - V EY2 T +RENOVATED R EH1 - N AH0 - V EY2 - T IH0 D +RENOVATING R EH1 - N AH0 - V EY2 - T IH0 NG +RENOVATION R EH2 - N AH0 - V EY1 - SH AH0 N +RENOVATIONS R EH1 - N AH0 - V EY2 - SH AH0 N Z +RENOVATOR R EH1 - N AH0 - V EY2 - T ER0 +RENOVATORS R EH1 - N AH0 - V EY2 - T ER0 Z +RENOWN R IH0 - N AW1 N +RENOWNED R IH0 - N AW1 N D +RENQUIST R EH1 N - K W IH0 S T +RENS R EH1 N Z +RENSBERGER R EH1 N S - B ER0 - G ER0 +RENSCH R EH1 N SH +RENSCHLER R EH1 N - SH AH0 - L ER0 +RENSCHLER(2) R EH1 N SH - L ER0 +RENSHAW R EH1 N - SH AO2 +RENSING R EH1 N - S IH0 NG +RENSSELAER R EH2 N - S AH0 - L IH1 R +RENSTROM R EH1 N S - T R AH0 M +RENT R EH1 N T +RENTA R EH1 N - T AH0 +RENTABLE R EH1 N - T AH0 - B AH0 L +RENTAL R EH1 N - T AH0 L +RENTALS R EH1 N - T AH0 L Z +RENTAS R EH1 N - T AH0 Z +RENTED R EH1 N - T AH0 D +RENTED(2) R EH1 N - T IH0 D +RENTER R EH1 N - T ER0 +RENTERIA R EH0 N - T EH1 - R IY0 - AH0 +RENTERS R EH1 N - T ER0 Z +RENTFRO R EH1 N T - F R OW0 +RENTFROW R EH1 N T - F R AW0 +RENTING R EH1 N - T IH0 NG +RENTMEESTER R EH1 N T - M IY2 - S T ER0 +RENTON R EH1 N - T AH0 N +RENTS R EH1 N T S +RENTSCH R EH1 N CH +RENTSCHLER R EH1 N CH - L ER0 +RENTZ R EH1 N T S +RENUNCIATE R IH0 - N AH1 N - S IY0 - EY2 T +RENUNCIATION R IH0 - N AH2 N - S IY0 - EY1 - SH AH0 N +RENUZIT R IY0 - N UW1 - Z IH0 T +RENWICK R EH1 N - W IH0 K +RENY R IY1 - N IY0 +RENZ R EH1 N Z +RENZI R EH1 N - Z IY0 +RENZULLI R EH0 N - Z UW1 - L IY0 +REO R IY1 - OW0 +REOCCUPY R IY0 - AO1 - K Y UW2 - P AY0 +REOCCUR R IY0 - AH0 - K ER1 +REOFFEND R IY0 - AO0 - F EH1 N D +REOFFENDED R IY0 - AO0 - F EH1 N - D IH0 D +REOFFER R IY0 - AO1 - F ER0 +REOFFERED R IY0 - AO1 - F ER0 D +REOFFERING R IY0 - AO1 - F ER0 - IH0 NG +REOPEN R IY0 - OW1 - P AH0 N +REOPENED R IY0 - OW1 - P AH0 N D +REOPENING R IY0 - OW1 - P AH0 - N IH0 NG +REOPENS R IY0 - OW1 - P AH0 N Z +REORDER R IY0 - AO1 R - D ER0 +REORDERING R IY0 - AO1 R - D ER0 - IH0 NG +REORGANIZATION R IY2 - AO0 R - G AH0 - N AH0 - Z EY1 - SH AH0 N +REORGANIZATIONS R IY0 - AO2 R - G AH0 - N IH0 - Z EY1 - SH AH0 N Z +REORGANIZE R IY0 - AO1 R - G AH0 - N AY2 Z +REORGANIZED R IY0 - AO1 R - G AH0 - N AY2 Z D +REORGANIZES R IY0 - AO1 R - G AH0 - N AY2 - Z IH0 Z +REORGANIZING R IY0 - AO1 R - G AH0 - N AY2 - Z IH0 NG +REORIENT R IY0 - AO1 - R IY0 - EH0 N T +REP R EH1 P +REP'S R EH1 P S +REP(2) R EH0 - P R IY0 - Z EH1 - T AH0 - T IH0 V +REP.(2) R EH0 - P R IY0 - Z EH1 - T AH0 - T IH0 V +REPACK R IY0 - P AE1 K +REPACKAGE R IY2 - P AE1 - K IH0 JH +REPACKAGED R IY1 - P AE0 - K IH0 JH D +REPACKAGES R IY2 - P AE1 - K IH0 - JH IH0 Z +REPACKAGING R IY1 - P AE0 - K IH0 - JH IH0 NG +REPACKED R IY0 - P AE1 K T +REPAID R IY0 - P EY1 D +REPAINT R IY0 - P EY1 N T +REPAINTED R IY0 - P EY1 N - T AH0 D +REPAINTING R IY0 - P EY1 N - T IH0 NG +REPAIR R IH0 - P EH1 R +REPAIRABLE R IH0 - P EH1 - R AH0 - B AH0 L +REPAIRED R IH0 - P EH1 R D +REPAIRED(2) R IY0 - P EH1 R D +REPAIRING R IH0 - P EH1 - R IH0 NG +REPAIRING(2) R IY0 - P EH1 - R IH0 NG +REPAIRMAN R IH0 - P EH1 R - M AE2 N +REPAIRMAN(2) R IY0 - P EH1 R - M AE2 N +REPAIRMEN R IH0 - P EH1 R - M EH2 N +REPAIRS R IH0 - P EH1 R Z +REPAIRS(2) R IY0 - P EH1 R Z +REPAP R IY1 - P AE0 P +REPARATION R EH2 - P ER0 - EY1 - SH AH0 N +REPARATIONS R EH2 - P ER0 - EY1 - SH AH0 N Z +REPARTEE R EH2 - P ER0 - T IY1 +REPASKY R IH0 - P AA1 S - K IY0 +REPASS R IY0 - P AE1 S +REPATRIATE R IY0 - P EY1 - T R IY0 - EY2 T +REPATRIATED R IY0 - P EY1 - T R IY0 - EY2 - T IH0 D +REPATRIATING R IY0 - P EY1 - T R IY0 - EY2 - T IH0 NG +REPATRIATION R IY0 - P EY2 - T R IY0 - EY1 - SH AH0 N +REPAY R IY0 - P EY1 +REPAYABLE R IY0 - P EY1 - AH0 - B AH0 L +REPAYING R IY0 - P EY1 - IH0 NG +REPAYMENT R IY0 - P EY1 - M AH0 N T +REPAYMENTS R IY0 - P EY1 - M AH0 N T S +REPAYS R IY2 - P EY1 Z +REPEAL R IH0 - P IY1 L +REPEAL(2) R IY0 - P IY1 L +REPEALED R IH0 - P IY1 L D +REPEALED(2) R IY0 - P IY1 L D +REPEALING R IY0 - P IY1 - L IH0 NG +REPEALS R IY0 - P IY1 L Z +REPEAT R IH0 - P IY1 T +REPEAT(2) R IY0 - P IY1 T +REPEATABLE R IH0 - P IY1 - T AH0 - B AH0 L +REPEATED R IH0 - P IY1 - T IH0 D +REPEATED(2) R IY0 - P IY1 - T AH0 D +REPEATED(3) R IY0 - P IY1 - T IH0 D +REPEATEDLY R IH0 - P IY1 - T IH0 D - L IY0 +REPEATER R IH0 - P IY1 - T ER0 +REPEATERS R IH0 - P IY1 - T ER0 Z +REPEATING R IH0 - P IY1 - T IH0 NG +REPEATING(2) R IY0 - P IY1 - T IH0 NG +REPEATS R IH0 - P IY1 T S +REPEATS(2) R IY0 - P IY1 T S +REPEL R IH0 - P EH1 L +REPELLED R AH0 - P EH1 L D +REPELLED(2) R IH0 - P EH1 L D +REPELLENT R IH0 - P EH1 - L AH0 N T +REPELLING R AH0 - P EH1 - L IH0 NG +REPELS R IH0 - P EH1 L Z +REPENT R IH0 - P EH1 N T +REPENTANCE R IH0 - P EH1 N - T AH0 N S +REPENTANT R IH0 - P EH1 N - T AH0 N T +REPENTED R IH0 - P EH1 N - T IH0 D +REPERCUSSION R IY2 - P ER0 - K AH1 - SH AH0 N +REPERCUSSION(2) R IY2 - P R AH0 - K AH1 - SH AH0 N +REPERCUSSIONS R IY2 - P ER0 - K AH1 - SH AH0 N Z +REPERCUSSIONS(2) R IY2 - P R AH0 - K AH1 - SH AH0 N Z +REPERFUSION R EH2 - P ER0 - F Y UW1 - ZH AH0 N +REPERTOIRE R EH1 - P ER0 - T W AA2 R +REPERTORY R EH1 - P ER0 - T AO2 - R IY0 +REPETITION R EH2 - P AH0 - T IH1 - SH AH0 N +REPETITIONS R EH2 - P AH0 - T IH1 - SH AH0 N Z +REPETITIOUS R EH2 - P AH0 - T IH1 - SH AH0 S +REPETITIVE R IH0 - P EH1 - T IH0 - T IH0 V +REPETTI R EH0 - P EH1 - T IY0 +REPETTO R EH0 - P EH1 - T OW0 +REPH R EH1 F +REPHRASE R IY0 - F R EY1 Z +REPINSKI R IH0 - P IH1 N - S K IY0 +REPKA R EH1 P - K AH0 +REPKO R EH1 P - K OW0 +REPLACE R IY2 - P L EY1 S +REPLACE(2) ER0 - P L EY1 S +REPLACEABLE R IY2 - P L EY1 - S AH0 - B AH0 L +REPLACED R IY2 - P L EY1 S T +REPLACEMENT R IH0 - P L EY1 S - M AH0 N T +REPLACEMENTS R IY0 - P L EY1 S - M AH0 N T S +REPLACES R IH0 - P L EY1 - S IH0 Z +REPLACING R IH0 - P L EY1 - S IH0 NG +REPLANT R IY0 - P L AE1 N T +REPLANTED R IY0 - P L AE1 N - T IH0 D +REPLANTED(2) R IY0 - P L AE1 - N IH0 D +REPLANTING R IY0 - P L AE1 N - T IH0 NG +REPLAY R IY0 - P L EY1 +REPLAYED R IY0 - P L EY1 D +REPLAYING R IY0 - P L EY1 - IH0 NG +REPLAYS R IY0 - P L EY1 Z +REPLENISH R IY0 - P L EH1 - N IH0 SH +REPLENISHED R IY0 - P L EH1 - N IH0 SH T +REPLENISHING R IY0 - P L EH1 - N IH0 - SH IH0 NG +REPLENISHMENT R IH0 - P L EH1 - N IH0 SH - M AH0 N T +REPLETE R IY0 - P L IY1 T +REPLICA R EH1 - P L IH0 - K AH0 +REPLICAS R EH1 - P L AH0 - K AH0 Z +REPLICASE R EH1 - P L IH0 - K EY2 Z +REPLICATE R EH1 - P L AH0 - K EY2 T +REPLICATED R EH1 - P L IH0 - K EY2 - T IH0 D +REPLICATES R EH1 - P L IH0 - K EY2 T S +REPLICATING R EH1 - P L IH0 - K EY2 - T IH0 NG +REPLICATION R EH2 - P L AH0 - K EY1 - SH AH0 N +REPLIED R IH0 - P L AY1 D +REPLIED(2) R IY0 - P L AY1 D +REPLIES R IH0 - P L AY1 Z +REPLIES(2) R IY0 - P L AY1 Z +REPLIGEN R IH2 - P L AY1 - JH IH0 N +REPLIGEN'S R IH2 - P L AY1 - JH IH0 N Z +REPLOGLE R EH1 - P L OW0 - G AH0 L +REPLY R IH0 - P L AY1 +REPLY(2) R IY0 - P L AY1 +REPLYING R IH0 - P L AY1 - IH0 NG +REPLYING(2) R IY0 - P L AY1 - IH0 NG +REPO R IY1 - P OW0 +REPONSE R IH0 - P AA1 N S +REPORT R IY0 - P AO1 R T +REPORT'S R IY0 - P AO1 R T S +REPORT'S(2) R IH0 - P AO1 R T S +REPORT(2) R IH0 - P AO1 R T +REPORTABLE R IH0 - P AO1 R - T AH0 - B AH0 L +REPORTAGE R IH0 - P AO1 R - T IH0 JH +REPORTED R IY2 - P AO1 R - T AH0 D +REPORTED(2) R IH0 - P AO1 R - T AH0 D +REPORTEDLY R IH0 - P AO1 R - T AH0 D - L IY0 +REPORTEDLY(2) R IY0 - P AO1 R - T AH0 D - L IY0 +REPORTER R IH0 - P AO1 R - T ER0 +REPORTER'S R IH0 - P AO1 R - T ER0 Z +REPORTERS R IH0 - P AO1 R - T ER0 Z +REPORTERS' R IH0 - P AO1 R - T ER0 Z +REPORTING R IY0 - P AO1 R - T IH0 NG +REPORTING(2) R IH0 - P AO1 R - T IH0 NG +REPORTORIAL R EH2 - P ER0 - T AO1 - R IY0 - AH0 L +REPORTS R IH0 - P AO1 R T S +REPORTS' R IH0 - P AO1 R T S +REPORTS'(2) R IY0 - P AO1 R T S +REPORTS(2) R IY0 - P AO1 R T S +REPOS R IY1 - P OW2 Z +REPOSA R EH0 - P OW1 - S AH0 +REPOSE R IY0 - P OW1 Z +REPOSITION R IY2 - P AH0 - Z IH1 - SH AH0 N +REPOSITIONED R IY2 - P AH0 - Z IH1 - SH AH0 N D +REPOSITIONING R IY2 - P AH0 - Z IH1 - SH AH0 N - IH0 NG +REPOSITORIES R IY0 - P AA1 - Z AH0 - T AO2 - R IY0 Z +REPOSITORY R IY0 - P AA1 - Z AH0 - T AO2 - R IY0 +REPOSSESS R IY2 - P AH0 - Z EH1 S +REPOSSESSED R IY2 - P AH0 - Z EH1 S T +REPOSSESSION R IY2 - P AH0 - Z EH1 - SH AH0 N +REPOSSESSIONS R IY2 - P AH0 - Z EH1 - SH AH0 N Z +REPP R EH1 P +REPPERT R EH1 - P ER0 T +REPPOND R EH1 - P AH0 N D +REPPUCCI R EH0 - P UW1 - CH IY0 +REPR EH1 P +REPREHENSIBLE R EH2 - P R IH0 - HH EH1 N - S AH0 - B AH0 L +REPRESENT R EH2 - P R AH0 - Z EH1 N T +REPRESENT(2) R EH2 - P R IH0 - Z EH1 N T +REPRESENTATION R EH2 - P R AH0 - Z EH0 N - T EY1 - SH AH0 N +REPRESENTATIONAL R EH2 - P R AH0 - Z AH0 N - T EY1 - SH AH0 - N AH0 L +REPRESENTATIONS R EH2 - P R AH0 - Z AH0 N - T EY1 - SH AH0 N Z +REPRESENTATIVE R EH2 - P R AH0 - Z EH1 N - T AH0 - T IH0 V +REPRESENTATIVE'S R EH2 - P R IH0 - Z EH1 N - T AH0 - T IH0 V Z +REPRESENTATIVE'S(2) R EH2 - P R IH0 - Z EH1 - N AH0 - T IH0 V Z +REPRESENTATIVE(2) R EH2 - P R IH0 - Z EH1 N - T AH0 - T IH0 V +REPRESENTATIVE(3) R EH2 - P R AH0 - Z EH1 - N AH0 - T IH0 V +REPRESENTATIVE(4) R EH2 - P R IH0 - Z EH1 - N AH0 - T IH0 V +REPRESENTATIVES R EH2 - P R AH0 - Z EH1 N - T AH0 - T IH0 V Z +REPRESENTATIVES' R EH2 - P R AH0 - S EH1 N - T AH0 - T IH0 V Z +REPRESENTATIVES'(2) R EH2 - P R AH0 - S EH1 - N AH0 - T IH0 V Z +REPRESENTATIVES(2) R EH2 - P R IH0 - Z EH1 N - T AH0 - T IH0 V Z +REPRESENTATIVES(3) R EH2 - P R AH0 - Z EH1 - N AH0 - T IH0 V Z +REPRESENTATIVES(4) R EH2 - P R IH0 - Z EH1 - N AH0 - T IH0 V Z +REPRESENTED R EH2 - P R AH0 - Z EH1 N - T AH0 D +REPRESENTED(2) R EH2 - P R IH0 - Z EH1 N - T IH0 D +REPRESENTED(3) R EH2 - P R AH0 - Z EH1 - N AH0 D +REPRESENTED(4) R EH2 - P R IH0 - Z EH1 - N IH0 D +REPRESENTING R EH2 - P R IH0 - Z EH1 N - T IH0 NG +REPRESENTING(2) R EH2 - P R IH0 - Z EH1 - N IH0 NG +REPRESENTS R EH2 - P R AH0 - Z EH1 N T S +REPRESENTS(2) R EH2 - P R IH0 - Z EH1 N T S +REPRESS R IY0 - P R EH1 S +REPRESSED R IY0 - P R EH1 S T +REPRESSING R IY0 - P R EH1 - S IH0 NG +REPRESSION R IY0 - P R EH1 - SH AH0 N +REPRESSIONS R IY0 - P R EH1 - SH AH0 N Z +REPRESSIVE R IY0 - P R EH1 - S IH0 V +REPRICE R IY0 - P R AY1 S +REPRICED R IY0 - P R AY1 S T +REPRICING R IY0 - P R AY1 - S IH0 NG +REPRIEVE R IY0 - P R IY1 V +REPRIMAND R EH1 - P R AH0 - M AE2 N D +REPRIMANDED R EH1 - P R AH0 - M AE2 N - D IH0 D +REPRIMANDS R EH1 - P R AH0 - M AE2 N D Z +REPRINT R IY0 - P R IH1 N T +REPRINTED R IY0 - P R IH1 N - T IH0 D +REPRINTING R IY0 - P R IH1 N - T IH0 NG +REPRINTS R IY0 - P R IH1 N T S +REPRISAL R IY0 - P R AY1 - Z AH0 L +REPRISALS R IH0 - P R AY1 - Z AH0 L Z +REPRISALS(2) R IY0 - P R AY1 - Z AH0 L Z +REPRISE R IH0 - P R AY1 Z +REPRISE(2) R IH0 - P R IY1 Z +REPROACH R IY0 - P R OW1 CH +REPROBATE R EH1 - P R AO0 - B EY0 T +REPROCESS R IY0 - P R AO1 - S EH0 S +REPROCESSED R IY0 - P R AO1 - S EH0 S T +REPROCESSING R IY0 - P R AO1 - S EH0 - S IH0 NG +REPRODUCE R IY2 - P R AH0 - D UW1 S +REPRODUCED R IY2 - P R AH0 - D UW1 S T +REPRODUCES R IY2 - P R AH0 - D UW1 - S IH0 Z +REPRODUCING R IY2 - P R AH0 - D UW1 - S IH0 NG +REPRODUCTION R IY2 - P R AH0 - D AH1 K - SH AH0 N +REPRODUCTIONS R IY2 - P R AH0 - D AH1 K - SH AH0 N Z +REPRODUCTIVE R IY2 - P R AH0 - D AH1 K - T IH0 V +REPROGRAM R IY0 - P R OW1 - G R AE2 M +REPROGRAMMED R IY0 - P R OW1 - G R AE2 M D +REPROGRAMMING R IY0 - P R OW1 - G R AE2 - M IH0 NG +REPROGRAMS R IY0 - P R OW1 - G R AE2 M Z +REPROGRAPH R EH1 - P R OW0 - G R AE2 F +REPROGRAPHIC R EH2 - P R OW0 - G R AE1 - F IH0 K +REPROGRAPHICS R EH2 - P R OW0 - G R AE1 - F IH0 K S +REPS R EH1 P S +REPSHER R EH1 P - SH ER0 +REPSOL R EH1 P - S AA0 L +REPTILE R EH1 P - T AY0 L +REPTILES R EH1 P - T AY0 L Z +REPUBLIC R IY0 - P AH1 - B L AH0 K +REPUBLIC'S R IY0 - P AH1 - B L IH0 K S +REPUBLIC(2) R IY0 - P AH1 - B L IH0 K +REPUBLICAN R IH0 - P AH1 - B L IH0 - K AH0 N +REPUBLICAN'S R IY0 - P AH1 - B L IH0 - K AH0 N Z +REPUBLICAN(2) R IY0 - P AH1 - B L AH0 - K AH0 N +REPUBLICAN(3) R IY0 - P AH1 - B L IH0 - K AH0 N +REPUBLICANISM R IH0 - P AH1 - B L IH0 - K AH0 - N IH2 - Z AH0 M +REPUBLICANS R IH0 - P AH1 - B L IH0 - K AH0 N Z +REPUBLICANS' R IH0 - P AH1 - B L IH0 - K AH0 N Z +REPUBLICANS'(2) R IY0 - P AH1 - B L IH0 - K AH0 N Z +REPUBLICANS(2) R IY0 - P AH1 - B L AH0 - K AH0 N Z +REPUBLICANS(3) R IY0 - P AH1 - B L IH0 - K AH0 N Z +REPUBLICBANK R IY0 - P AH1 - B L IH0 K - B AE2 NG K +REPUBLICBANK'S R IY0 - P AH1 - B L IH0 K - B AE2 NG K S +REPUBLICS R IY0 - P AH1 - B L IH0 K S +REPUDIATE R IY0 - P Y UW1 - D IY0 - EY2 T +REPUDIATED R IY0 - P Y UW1 - D IY0 - EY2 - T AH0 D +REPUDIATES R IY0 - P Y UW1 - D IY0 - EY2 T S +REPUDIATING R IY0 - P Y UW1 - D IY0 - EY2 - T IH0 NG +REPUDIATION R IH0 - P Y UW2 - D IY0 - EY1 - SH AH0 N +REPUGNANT R IH0 - P AH1 G - N AH0 N T +REPUGNANT(2) R IY0 - P AH1 G - N AH0 N T +REPULSE R IY0 - P AH1 L S +REPULSED R IY0 - P AH1 L S T +REPULSING R IY0 - P AH1 L - S IH0 NG +REPULSIVE R IY0 - P AH1 L - S IH0 V +REPURCHASE R IY0 - P ER1 - CH AH0 S +REPURCHASED R IY0 - P ER1 - CH AH0 S T +REPURCHASES R IY0 - P ER1 - CH AH0 - S IH0 Z +REPURCHASING R IY0 - P ER1 - CH AH0 - S IH0 NG +REPUTABLE R EH1 - P Y AH0 - T AH0 - B AH0 L +REPUTATION R EH2 - P Y AH0 - T EY1 - SH AH0 N +REPUTATIONS R EH2 - P Y AH0 - T EY1 - SH AH0 N Z +REPUTE R IY0 - P Y UW1 T +REPUTED R IH0 - P Y UW1 - T IH0 D +REPUTED(2) R IY0 - P Y UW1 - T AH0 D +REPUTED(3) R IY0 - P Y UW1 - T IH0 D +REPUTEDLY R IH0 - P Y UW1 - T IH0 D - L IY0 +REQUA R EY1 - K W AH0 +REQUALIFY R IY2 - K W AA1 - L AH0 - F AY2 +REQUEST R IH0 - K W EH1 S T +REQUEST(2) R IY0 - K W EH1 S T +REQUESTED R IH0 - K W EH1 - S T IH0 D +REQUESTED(2) R IY0 - K W EH1 - S T AH0 D +REQUESTED(3) R IY0 - K W EH1 - S T IH0 D +REQUESTER R IH0 - K W EH1 - S T ER0 +REQUESTING R IH0 - K W EH1 - S T IH0 NG +REQUESTING(2) R IY0 - K W EH1 - S T IH0 NG +REQUESTS R IH0 - K W EH1 S T S +REQUESTS(2) R IY0 - K W EH1 S T S +REQUESTS(3) R IH0 - K W EH1 S S +REQUESTS(4) R IY0 - K W EH1 S S +REQUESTS(5) R IH0 - K W EH1 S +REQUESTS(6) R IY0 - K W EH1 S +REQUIEM R EH1 - K W IY0 - AH0 M +REQUIRE R IY2 - K W AY1 - ER0 +REQUIRE(2) R IY0 - K W AY1 R +REQUIRE(3) R IH0 - K W AY1 - ER0 +REQUIRED R IY0 - K W AY1 - ER0 D +REQUIRED(2) R IY0 - K W AY1 R D +REQUIREMENT R IH0 - K W AY1 R - M AH0 N T +REQUIREMENTS R IH0 - K W AY1 R - M AH0 N T S +REQUIRES R IY0 - K W AY1 - ER0 Z +REQUIRES(2) R IY0 - K W AY1 R Z +REQUIRING R IY0 - K W AY1 - ER0 - IH0 NG +REQUIRING(2) R IY0 - K W AY1 - R IH0 NG +REQUISITE R EH1 - K W AH0 - Z AH0 T +REQUISITES R EH1 - K W AH0 - Z AH0 T S +REQUISITION R EH2 - K W AH0 - Z IH1 - SH AH0 N +REQUISITIONED R EH2 - K W AH0 - Z IH1 - SH AH0 N D +REREAD R IY1 - R IY1 D +REREADING R IY1 - R IY1 - D IH0 NG +REREGULATE R IY0 - R EH1 - G Y AH0 - L EY2 T +REREGULATION R IY0 - R EH0 - G Y AH0 - L EY1 - SH AH0 N +REROUTE R IY0 - R UW1 T +REROUTE(2) R IY0 R - AW1 T +REROUTED R IY0 - R UW1 - T IH0 D +REROUTED(2) R IY0 - R AW1 - T IH0 D +REROUTING R IY0 - R UW1 - T IH0 NG +REROUTING(2) R IY0 - R AW1 - T IH0 NG +RERUN R IY1 - R AH1 N +RERUNNING R IY1 - R AH1 - N IH0 NG +RERUNS R IY1 - R AH1 N Z +RES R EY1 Z +RESALE R IY1 - S EY2 L +RESALES R IY1 - S EY2 L Z +RESCH R EH1 SH +RESCHEDULE R IY0 - S K EH1 - JH UW0 L +RESCHEDULED R IY0 - S K EH1 - JH UW0 L D +RESCHEDULING R IY0 - S K EH1 - JH UW0 - L IH0 NG +RESCHEDULINGS R IY0 SH - K EH1 - JH UW0 - L IH0 NG Z +RESCHKE R EH1 SH K +RESCIGNO R EH0 - S CH IY1 G - N OW0 +RESCIND R IH0 - S IH1 N D +RESCIND(2) R IY0 - S IH1 N D +RESCINDED R IH0 - S IH1 N - D IH0 D +RESCINDED(2) R IY0 - S IH1 N - D AH0 D +RESCINDED(3) R IY0 - S IH1 N - D IH0 D +RESCINDING R IH0 - S IH1 N - D IH0 NG +RESCISSION R IH0 - S IH1 - ZH AH0 N +RESCISSIONS R IH0 - S IH1 - ZH AH0 N Z +RESCUE R EH1 - S K Y UW0 +RESCUED R EH1 - S K Y UW0 D +RESCUER R EH1 - S K Y UW2 - ER0 +RESCUERS R EH1 - S K Y UW2 - ER0 Z +RESCUES R EH1 - S K Y UW2 Z +RESCUING R EH1 - S K Y UW0 - IH0 NG +RESDEL R EH1 Z - D EH2 L +RESEACHERS R IY0 - S ER1 - CH ER0 Z +RESEAL R IY0 - S IY1 L +RESEALABLE R IY0 - S IY1 - L AH0 - B AH0 L +RESEALED R IY0 - S IY1 L D +RESEALS R IY0 - S IY1 L Z +RESEARCH R IY0 - S ER1 CH +RESEARCH'S R IY0 - S ER1 - CH IH0 Z +RESEARCH(2) R IY1 - S ER0 CH +RESEARCHED R IY0 - S ER1 CH T +RESEARCHER R IY1 - S ER0 - CH ER0 +RESEARCHERS R IY1 - S ER0 - CH ER0 Z +RESEARCHERS' R IY1 - S ER0 - CH ER0 Z +RESEARCHES R IY0 - S ER1 - CH IH0 Z +RESEARCHING R IY0 - S ER1 - CH IH0 NG +RESEDA R EH0 - S EY1 - D AH0 +RESEED R IY0 - S IY1 D +RESELL R IY0 - S EH1 L +RESELLER R IY0 - S EH1 - L ER0 +RESELLERS R IY0 - S EH1 - L ER0 Z +RESELLING R IY0 - S EH1 - L IH0 NG +RESELLS R IY0 - S EH1 L Z +RESEMBLANCE R IH0 - Z EH1 M - B L AH0 N S +RESEMBLANCE(2) R IY0 - Z EH1 M - B L AH0 N S +RESEMBLANCES R IY0 - Z EH1 M - B L AH0 N - S AH0 Z +RESEMBLE R IH0 - Z EH1 M - B AH0 L +RESEMBLE(2) R IY0 - Z EH1 M - B AH0 L +RESEMBLED R IH0 - Z EH1 M - B AH0 L D +RESEMBLED(2) R IY0 - Z EH1 M - B AH0 L D +RESEMBLES R IH0 - Z EH1 M - B AH0 L Z +RESEMBLES(2) R IY0 - Z EH1 M - B AH0 L Z +RESEMBLING R IH0 - Z EH1 M - B AH0 L - IH0 NG +RESEMBLING(2) R IY0 - Z EH1 M - B AH0 L - IH0 NG +RESEMBLING(3) R IY0 - Z EH1 M - B L IH0 NG +RESENDE R IH0 - S EH1 N - D EY0 +RESENDES R EH1 - S IH0 N D Z +RESENDEZ R EY0 - S EY1 N - D EH0 Z +RESENDIZ R IH0 - S EH1 N - D IH0 Z +RESENT R IH0 - Z EH1 N T +RESENT(2) R IY0 - Z EH1 N T +RESENTED R IY0 - Z EH1 N - T AH0 D +RESENTED(2) R IY0 - Z EH1 - N AH0 D +RESENTFUL R IH0 - Z EH1 N T - F AH0 L +RESENTING R IH0 - Z EH1 N - T IH0 NG +RESENTING(2) R IY0 - Z EH1 N - T IH0 NG +RESENTING(3) R IH0 - Z EH1 - N IH0 NG +RESENTING(4) R IY0 - Z EH1 - N IH0 NG +RESENTMENT R IH0 - Z EH1 N T - M AH0 N T +RESENTMENT(2) R IH0 - Z EH1 N - M AH0 N T +RESENTMENTS R IH0 - Z EH1 N T - M AH0 N T S +RESENTMENTS(2) R IH0 - Z EH1 N - M AH0 N T S +RESENTS R IH0 - Z EH1 N T S +RESER R IY1 - Z ER0 +RESERVATION R EH2 - Z ER0 - V EY1 - SH AH0 N +RESERVATIONIST R EH2 - Z ER0 - V EY1 - SH AH0 N - IH0 S T +RESERVATIONISTS R EH2 - Z ER0 - V EY1 - SH AH0 N - IH0 S T S +RESERVATIONISTS(2) R EH2 - Z ER0 - V EY1 - SH AH0 N - IH0 S S +RESERVATIONISTS(3) R EH2 - Z ER0 - V EY1 - SH AH0 N - IH0 S +RESERVATIONS R EH2 - Z ER0 - V EY1 - SH AH0 N Z +RESERVE R IH0 - Z ER1 V +RESERVE'S R IH0 - Z ER1 V Z +RESERVE'S(2) R IY0 - Z ER1 V Z +RESERVE(2) R IY0 - Z ER1 V +RESERVED R IH0 - Z ER1 V D +RESERVED(2) R IY0 - Z ER1 V D +RESERVEESE R EH2 - Z ER0 - V IY1 S +RESERVES R IH0 - Z ER1 V Z +RESERVES(2) R IY0 - Z ER1 V Z +RESERVING R IH0 - Z ER1 - V IH0 NG +RESERVING(2) R IY0 - Z ER1 - V IH0 NG +RESERVIST R IH0 - Z ER1 - V IH0 S T +RESERVISTS R IH0 - Z ER1 - V IH0 S T S +RESERVISTS(2) R IH0 - Z ER1 - V IH0 S S +RESERVISTS(3) R IH0 - Z ER1 - V IH0 S +RESERVOIR R EH1 - Z AH0 - V W AA2 R +RESERVOIR(2) R EH1 - Z ER0 - V W AA2 R +RESERVOIRS R EH1 - Z ER0 - V W AA2 R Z +RESET R IY0 - S EH1 T +RESET(2) R IY1 - S EH0 T +RESETAR R EH1 - S IH0 - T ER0 +RESETING R IY0 - S EH1 - T IH0 NG +RESETING(2) R IY1 - S EH0 - T IH0 NG +RESETS R IY0 - S EH1 T S +RESETS(2) R IY1 - S EH0 T S +RESETTABLE R IY0 - S EH1 - T AH0 - B AH0 L +RESETTLE R IY0 - S EH1 - T AH0 L +RESETTLED R IY0 - S EH1 - T AH0 L D +RESETTLEMENT R IY0 - S EH1 - T AH0 L - M AH0 N T +RESH R EH1 SH +RESHAPE R IY0 - SH EY1 P +RESHAPED R IY0 - SH EY1 P T +RESHAPING R IY0 - SH EY1 - P IH0 NG +RESHOT R IY0 - SH AO1 T +RESHUFFLE R IY0 - SH AH1 - F AH0 L +RESHUFFLED R IY0 - SH AH1 - F AH0 L D +RESHUFFLING R IY0 - SH AH1 - F AH0 L - IH0 NG +RESHUFFLING(2) R IY0 - SH AH1 - F L IH0 NG +RESIDE R IH0 - Z AY1 D +RESIDE(2) R IY0 - Z AY1 D +RESIDED R IH0 - Z AY1 - D IH0 D +RESIDENCE R EH1 - Z IH0 - D AH0 N S +RESIDENCES R EH1 - Z IH0 - D AH0 N - S IH0 Z +RESIDENCIES R EH1 - Z IH0 - D EH2 N - S IY0 Z +RESIDENCY R EH1 - Z IH0 - D AH0 N - S IY0 +RESIDENT R EH1 - Z IH0 - D AH0 N T +RESIDENT'S R EH1 - Z IH0 - D AH0 N T S +RESIDENTIAL R EH2 - Z IH0 - D EH1 N - CH AH0 L +RESIDENTS R EH1 - Z IH0 - D AH0 N T S +RESIDENTS' R EH1 - Z IH0 - D AH0 N T S +RESIDES R IH0 - Z AY1 D Z +RESIDES(2) R IY0 - Z AY1 D Z +RESIDING R IH0 - Z AY1 - D IH0 NG +RESIDING(2) R IY0 - Z AY1 - D IH0 NG +RESIDUAL R IH0 - Z IH1 - JH UW0 - AH0 L +RESIDUALS R IH0 - Z IH1 - JH UW0 - AH0 L Z +RESIDUE R EH1 - Z AH0 - D UW2 +RESIDUES R EH1 - Z AH0 - D UW2 Z +RESIGN R IH0 - Z AY1 N +RESIGN(2) R IY0 - Z AY1 N +RESIGN(3) R IY0 - S AY1 N +RESIGNATION R EH2 - Z AH0 G - N EY1 - SH AH0 N +RESIGNATION(2) R EH2 - Z IH0 G - N EY1 - SH AH0 N +RESIGNATIONS R EH2 - Z IH0 G - N EY1 - SH AH0 N Z +RESIGNED R IH0 - Z AY1 N D +RESIGNED(2) R IY0 - Z AY1 N D +RESIGNED(3) R IY0 - S AY1 N D +RESIGNEE R EH2 - Z IH0 G - N IY1 +RESIGNEES R EH2 - Z IH0 G - N IY1 Z +RESIGNING R IH0 - Z AY1 - N IH0 NG +RESIGNING(2) R IY0 - Z AY1 - N IH0 NG +RESIGNING(3) R IY0 - S AY1 - N IH0 NG +RESIGNS R IH0 - Z AY1 N Z +RESIGNS(2) R IY0 - Z AY1 N Z +RESIGNS(3) R IY0 - S AY1 N Z +RESILIENCE R IH0 - Z IH1 - L IY0 - AH0 N S +RESILIENCE(2) R IH0 - Z IH1 - L Y AH0 N S +RESILIENCY R IH0 - Z IH1 - L Y AH0 N - S IY0 +RESILIENT R IH0 - Z IH1 - L Y AH0 N T +RESIN R EH1 - Z AH0 N +RESIN(2) R EH1 - Z IH0 N +RESINS R EH1 - Z AH0 N Z +RESINS(2) R EH1 - Z IH0 N Z +RESIST R IH0 - Z IH1 S T +RESIST(2) R IY0 - Z IH1 S T +RESISTANCE R IH0 - Z IH1 - S T AH0 N S +RESISTANCE(2) R IY0 - Z IH1 - S T AH0 N S +RESISTANT R IH0 - Z IH1 - S T AH0 N T +RESISTANT(2) R IY0 - Z IH1 - S T AH0 N T +RESISTED R IH0 - Z IH1 - S T IH0 D +RESISTED(2) R IY0 - Z IH1 - S T AH0 D +RESISTED(3) R IY0 - Z IH1 - S T IH0 D +RESISTENCE R IH0 - Z IH1 - S T AH0 N S +RESISTING R IH0 - Z IH1 - S T IH0 NG +RESISTING(2) R IY0 - Z IH1 - S T IH0 NG +RESISTIVENESS R IH2 - Z IH1 - S T IH2 V - N AH0 S +RESISTORS R IH0 - Z IH1 - S T ER0 Z +RESISTS R IH0 - Z IH1 S T S +RESISTS(2) R IY0 - Z IH1 S T S +RESISTS(3) R IH0 - Z IH1 S S +RESISTS(4) R IY0 - Z IH1 S S +RESISTS(5) R IH0 - Z IH1 S +RESISTS(6) R IY0 - Z IH1 S +RESKE R EH1 S K +RESLER R EH1 Z - L ER0 +RESNAIS R EH0 S - N EY1 +RESNER R EH1 S - N ER0 +RESNICK R EH1 Z - N IH0 K +RESNICK'S R EH1 Z - N IH0 K S +RESNIK R EH1 S - N IH0 K +RESO R IH1 - Z OW0 +RESO'S R IY1 - S OW0 Z +RESO'S(2) R IY1 - Z OW0 Z +RESO'S(3) R IH1 - S OW0 Z +RESO'S(4) R IH1 - Z OW0 Z +RESO(2) R IY1 - Z OW0 +RESO(3) R IH1 - S OW0 +RESO(4) R IY1 - S OW0 +RESOLD R IY0 - S OW1 L D +RESOLUTE R EH1 - Z AH0 - L UW2 T +RESOLUTELY R EH1 - S AH0 - L UW2 T - L IY0 +RESOLUTELY(2) R EH1 - Z AH0 - L UW2 T - L IY0 +RESOLUTION R EH2 - Z AH0 - L UW1 - SH AH0 N +RESOLUTION'S R EH2 - Z AH0 - L UW1 - SH AH0 N Z +RESOLUTIONS R EH2 - Z AH0 - L UW1 - SH AH0 N Z +RESOLVE R IY0 - Z AA1 L V +RESOLVED R IY0 - Z AA1 L V D +RESOLVES R IY0 - Z AA1 L V Z +RESOLVING R IY0 - Z AA1 L - V IH0 NG +RESONANCE R EH1 - Z AH0 - N AH0 N S +RESONANT R EH1 - Z AH0 - N AH0 N T +RESONATE R EH1 - Z AH0 - N EY2 T +RESONATED R EH1 - Z AH0 - N EY2 - T IH0 D +RESONATES R EH1 - Z AH0 - N EY2 T S +RESONATING R EH1 - Z AH0 - N EY2 - T IH0 NG +RESORT R IH0 - Z AO1 R T +RESORT'S R IH0 - Z AO1 R T S +RESORT(2) R IY0 - Z AO1 R T +RESORT(3) R IY0 - S AO1 R T +RESORTED R IH0 - Z AO1 R - T IH0 D +RESORTED(2) R IY0 - Z AO1 R - T IH0 D +RESORTED(3) R IY0 - S AO1 R - T IH0 D +RESORTING R IH0 - Z AO1 R - T IH0 NG +RESORTING(2) R IY0 - Z AO1 R - T IH0 NG +RESORTING(3) R IY0 - S AO1 R - T IH0 NG +RESORTS R IH0 - Z AO1 R T S +RESORTS' R IH0 - Z AO1 R T S +RESORTS(2) R IY0 - Z AO1 R T S +RESORTS(3) R IY0 - S AO1 R T S +RESOUND R IY2 - S AW1 N D +RESOUND(2) R IY2 - Z AW1 N D +RESOUNDING R IY0 - S AW1 N - D IH0 NG +RESOUNDINGLY R IH0 - Z AW1 N - D IH0 NG - L IY0 +RESOURCE R IY1 - S AO0 R S +RESOURCEFUL R IY0 - S AO1 R S - F AH0 L +RESOURCEFULNESS R IY0 - S AO1 R S - F AH0 L - N AH0 S +RESOURCES R IY1 - S AO0 R - S IH0 Z +RESOURCES' R IY1 - S AO0 R - S IH0 Z +RESPEAK R IY0 - S P IY1 K +RESPECT R IH0 - S P EH1 K T +RESPECT(2) R IY0 - S P EH1 K T +RESPECTABILITY R IY0 - S P EH2 K - T AH0 - B IH1 - L IH0 - T IY0 +RESPECTABLE R IH0 - S P EH1 K - T AH0 - B AH0 L +RESPECTABLE(2) R IY0 - S P EH1 K - T AH0 - B AH0 L +RESPECTABLY R IY0 - S P EH1 K - T AH0 - B L IY0 +RESPECTED R IH0 - S P EH1 K - T IH0 D +RESPECTED(2) R IY0 - S P EH1 K - T AH0 D +RESPECTED(3) R IY0 - S P EH1 K - T IH0 D +RESPECTFUL R IH0 - S P EH1 K T - F AH0 L +RESPECTFULLY R IH0 - S P EH1 K T - F AH0 - L IY0 +RESPECTING R IY0 - S P EH1 K - T IH0 NG +RESPECTIVE R IH0 - S P EH1 K - T IH0 V +RESPECTIVE(2) R IY0 - S P EH1 K - T IH0 V +RESPECTIVELY R IH0 - S P EH1 K - T IH0 V - L IY0 +RESPECTS R IH0 - S P EH1 K T S +RESPECTS(2) R IY0 - S P EH1 K T S +RESPECTS(3) R AH0 - S P EH1 K S +RESPECTS(4) R IY0 - S P EH1 K S +RESPESS R EY1 S - P IH0 S +RESPIRATION R EH2 - S P ER0 - EY1 - SH AH0 N +RESPIRATOR R EH1 - S P ER0 - EY2 - T ER0 +RESPIRATORS R EH1 - S P ER0 - EY2 - T ER0 Z +RESPIRATORY R EH1 - S P ER0 - AH0 - T AO2 - R IY0 +RESPIRONIC R EH2 - S P ER0 - AA1 - N IH0 K +RESPIRONICS R EH2 - S ER0 - AA1 - N IH0 K S +RESPITE R EH1 - S P IH0 T +RESPLENDENT R IY0 - S P L EH1 N - D AH0 N T +RESPOND R IH0 - S P AA1 N D +RESPOND(2) R IY0 - S P AA1 N D +RESPONDED R IH0 - S P AA1 N - D IH0 D +RESPONDED(2) R IY0 - S P AA1 N - D AH0 D +RESPONDED(3) R IY0 - S P AA1 N - D IH0 D +RESPONDENT R IH0 - S P AA1 N - D AH0 N T +RESPONDENTS R IH0 - S P AA1 N - D AH0 N T S +RESPONDENTS' R IH0 - S P AA1 N - D AH0 N T S +RESPONDER R IH0 - S P AA1 N - D ER0 +RESPONDERS R IH0 - S P AA1 N - D ER0 Z +RESPONDING R IH0 - S P AA1 N - D IH0 NG +RESPONDING(2) R IY0 - S P AA1 N - D IH0 NG +RESPONDS R IH0 - S P AA1 N D Z +RESPONDS(2) R IY0 - S P AA1 N D Z +RESPONSE R IH0 - S P AA1 N S +RESPONSE(2) R IY0 - S P AA1 N S +RESPONSES R IH0 - S P AA1 N - S IH0 Z +RESPONSES(2) R IY0 - S P AA1 N - S AH0 Z +RESPONSES(3) R IY0 - S P AA1 N - S IH0 Z +RESPONSIBILITIES R IY0 - S P AA2 N - S AH0 - B IH1 - L AH0 - T IY0 Z +RESPONSIBILITY R IY0 - S P AA2 N - S AH0 - B IH1 - L AH0 - T IY0 +RESPONSIBLE R IY0 - S P AA1 N - S AH0 - B AH0 L +RESPONSIBLY R IH0 - S P AA1 N - S AH0 - B L IY0 +RESPONSIVE R IH0 - S P AA1 N - S IH0 V +RESPONSIVENESS R IH0 - S P AA1 N - S IH0 V - N AH0 S +RESPRESS R EH1 - S P R IH0 S +RESS R EH1 S +RESSA R EH1 - S AH0 +RESSA'S R EH1 - S AH0 Z +RESSEGUIE R EH1 - S IH0 - G W IY0 +RESSEL R EH1 - S AH0 L +RESSLER R EH1 S - L ER0 +REST R EH1 S T +RESTAGE R IY0 - S T EY1 JH +RESTAGED R IY0 - S T EY1 JH D +RESTAINO R EH0 - S T AA0 - IY1 - N OW0 +RESTART R IY0 - S T AA1 R T +RESTARTED R IY0 - S T AA1 R - T IH0 D +RESTARTING R IY0 - S T AA1 R - T IH0 NG +RESTATE R IY0 - S T EY1 T +RESTATED R IY0 - S T EY1 - T IH0 D +RESTATEMENT R IY0 - S T EY1 T - M AH0 N T +RESTATEMENTS R IY0 - S T EY1 T - M AH0 N T S +RESTATES R IY0 - S T EY1 T S +RESTATING R IY0 - S T EY1 - T IH0 NG +RESTAURANT R EH1 - S T ER0 - AA2 N T +RESTAURANT'S R EH1 - S T ER0 - AA2 N T S +RESTAURANT'S(2) R EH1 - S T R AA2 N T S +RESTAURANT(2) R EH1 - S T R AA2 N T +RESTAURANTS R EH1 - S T ER0 - AA2 N T S +RESTAURANTS' R EH1 - S T ER0 - AA2 N T S +RESTAURANTS'(2) R EH1 - S T R AA2 N T S +RESTAURANTS(2) R EH1 - S T R AA2 N T S +RESTAURATEUR R EH2 - S T ER0 - AH0 - T ER1 +RESTAURATEUR(2) R EH2 - S T R AH0 - T ER1 +RESTAURATEURS R EH2 - S T ER0 - AH0 - T ER1 Z +RESTAURATEURS(2) R EH2 - S T R AH0 - T ER1 Z +RESTED R EH1 - S T AH0 D +RESTED(2) R EH1 - S T IH0 D +RESTER R EH1 - S T ER0 +RESTFUL R EH1 S T - F AH0 L +RESTING R EH1 - S T IH0 NG +RESTITUTE R EH1 - S T IH0 - T UW2 T +RESTITUTION R EH2 - S T IH0 - T UW1 - SH AH0 N +RESTIVE R EH1 - S T IH0 V +RESTIVENESS R EH1 - S T IH0 V - N AH0 S +RESTIVO R EH0 - S T IY1 - V OW0 +RESTLESS R EH1 S T - L AH0 S +RESTLESSLY R EH1 S T - L AH0 S - L IY0 +RESTLESSNESS R EH1 S T - L AH0 S - N AH0 S +RESTO R EH1 - S T OW0 +RESTOCK R IY0 - S T AA1 K +RESTOCKED R IY0 - S T AA1 K T +RESTOCKING R IY0 - S T AA1 - K IH0 NG +RESTON R EH1 - S T AH0 N +RESTORATION R EH2 - S T ER0 - EY1 - SH AH0 N +RESTORATIONS R EH2 - S T ER0 - EY1 - SH AH0 N Z +RESTORATIVE R AH0 - S T AO1 - R AH0 - T IH0 V +RESTORE R IH0 - S T AO1 R +RESTORED R IH0 - S T AO1 R D +RESTORER R IH0 - S T AO1 - R ER0 +RESTORES R IH0 - S T AO1 R Z +RESTORING R IH0 - S T AO1 - R IH0 NG +RESTRAIN R IY0 - S T R EY1 N +RESTRAINED R IY0 - S T R EY1 N D +RESTRAINING R IY0 - S T R EY1 - N IH0 NG +RESTRAINS R IY0 - S T R EY1 N Z +RESTRAINT R IH0 - S T R EY1 N T +RESTRAINT(2) R IY0 - S T R EY1 N T +RESTRAINTS R IH0 - S T R EY1 N T S +RESTRAINTS(2) R IY0 - S T R EY1 N T S +RESTREPO R EH0 - S T R EH1 - P OW0 +RESTRICT R IY0 - S T R IH1 K T +RESTRICTED R IY0 - S T R IH1 K - T AH0 D +RESTRICTED(2) R IY0 - S T R IH1 K - T IH0 D +RESTRICTING R IY0 - S T R IH1 K - T IH0 NG +RESTRICTION R IY0 S - T R IH1 K - SH AH0 N +RESTRICTIONS R IY0 S - T R IH1 K - SH AH0 N Z +RESTRICTIVE R IY0 - S T R IH1 K - T IH0 V +RESTRICTIVENESS R AH0 - S T R IH1 K - T IH0 V - N AH0 S +RESTRICTS R IY0 - S T R IH1 K T S +RESTROOM R EH1 S T - R UW2 M +RESTROOMS R EH1 S T - R UW2 M Z +RESTRUCTURE R IY0 - S T R AH1 K - CH ER0 +RESTRUCTURED R IY0 - S T R AH1 K - CH ER0 D +RESTRUCTURES R IY0 - S T R AH1 K - CH ER0 Z +RESTRUCTURING R IY0 - S T R AH1 K - CH ER0 - IH0 NG +RESTRUCTURINGS R IY0 - S T R AH1 K - CH ER0 - IH0 NG Z +RESTS R EH1 S T S +RESTYLE R IY0 - S T AY1 L +RESTYLED R IY0 - S T AY1 L D +RESUBMIT R IY2 - S AH0 B - M IH1 T +RESUBMITTED R IY2 - S AH0 B - M IH1 - T IH0 D +RESUBMITTING R IY2 - S AH0 B - M IH1 - T IH0 NG +RESULT R IH0 - Z AH1 L T +RESULT(2) R IY0 - Z AH1 L T +RESULTANT R IY0 - Z AH1 L - T AH0 N T +RESULTED R IH0 - Z AH1 L - T IH0 D +RESULTED(2) R IY0 - Z AH1 L - T AH0 D +RESULTED(3) R IY0 - Z AH1 L - T IH0 D +RESULTING R IH0 - Z AH1 L - T IH0 NG +RESULTING(2) R IY0 - Z AH1 L - T IH0 NG +RESULTS R IH0 - Z AH1 L T S +RESULTS(2) R IY0 - Z AH1 L T S +RESUME R IH0 - Z UW1 M +RESUME(2) R IY0 - Z UW1 M +RESUME(3) R EH1 - Z AH0 - M EY2 +RESUMED R IH0 - Z UW1 M D +RESUMED(2) R IY0 - Z UW1 M D +RESUMES R IH0 - Z UW1 M Z +RESUMES(2) R IY0 - Z UW1 M Z +RESUMES(3) R EH1 - Z AH0 - M EY2 Z +RESUMING R IH0 - Z UW1 - M IH0 NG +RESUMING(2) R IY0 - Z UW1 - M IH0 NG +RESUMPTION R IH0 - Z AH1 M P - SH AH0 N +RESUMPTION(2) R IY0 - Z AH1 M P - SH AH0 N +RESUMPTION(3) R IH0 - Z AH1 M - SH AH0 N +RESUMPTION(4) R IY0 - Z AH1 M - SH AH0 N +RESUPPLY R IY0 - S AH0 - P L AY1 +RESURFACE R IY0 - S ER1 - F AH0 S +RESURFACED R IY0 - S ER1 - F AH0 S T +RESURFACING R IY0 - S ER1 - F AH0 - S IH0 NG +RESURGENCE R IY0 - S ER1 - JH AH0 N S +RESURGENCY R IH0 - S ER1 - JH AH0 N - S IY0 +RESURGENCY(2) R IY0 - S ER1 - JH AH0 N - S IY0 +RESURGENT R IH0 - S ER1 - JH AH0 N T +RESURGENT(2) R IY0 - S ER1 - JH AH0 N T +RESURGING R IY0 - S ER1 - JH IH0 NG +RESURRECT R EH2 - Z ER0 - EH1 K T +RESURRECTED R EH2 - Z ER0 - EH1 K - T IH0 D +RESURRECTING R EH2 - Z ER0 - EH1 K - T IH0 NG +RESURRECTION R EH2 - Z ER0 - EH1 K - SH AH0 N +RESUSCITATE R IH0 - S AH1 - S IH0 - T EY2 T +RESUSCITATE(2) R IY0 - S AH1 - S IH0 - T EY2 T +RESUSCITATED R IH0 - S AH1 - S IH0 - T EY2 - T IH0 D +RESUSCITATING R IH0 - S AH1 - S IH0 - T EY2 - T IH0 NG +RESUSCITATION R IH0 - S AH2 - S IH0 - T EY1 - SH AH0 N +RET R EH1 T +RETA R EH1 - T AH0 +RETABLOS R IY0 - T AE1 - B L OW0 S +RETAIL R IY1 - T EY2 L +RETAILED R IY1 - T EY2 L D +RETAILER R IY1 - T EY2 - L ER0 +RETAILER'S R IY1 - T EY2 - L ER0 Z +RETAILERS R IY1 - T EY2 - L ER0 Z +RETAILERS' R IY1 - T EY2 - L ER0 Z +RETAILING R IY1 - T EY2 - L IH0 NG +RETAILING'S R IY1 - T EY2 - L IH0 NG Z +RETAILS R IY1 - T EY2 L Z +RETAIN R IH0 - T EY1 N +RETAIN(2) R IY0 - T EY1 N +RETAINED R IH0 - T EY1 N D +RETAINED(2) R IY0 - T EY1 N D +RETAINER R IH0 - T EY1 - N ER0 +RETAINER(2) R IY0 - T EY1 - N ER0 +RETAINERS R IH0 - T EY1 - N ER0 Z +RETAINING R IH0 - T EY1 - N IH0 NG +RETAINING(2) R IY0 - T EY1 - N IH0 NG +RETAINS R IH0 - T EY1 N Z +RETAINS(2) R IY0 - T EY1 N Z +RETAKE R IY1 - T EY1 K +RETAKE(2) R IY0 - T EY1 K +RETAKEN R IY0 - T EY1 - K AH0 N +RETAKING R IY0 - T EY1 - K IH0 NG +RETALIATE R IH0 - T AE1 - L IY0 - EY2 T +RETALIATE(2) R IY0 - T AE1 - L IY0 - EY2 T +RETALIATED R IH0 - T AE1 - L IY0 - EY2 - T IH0 D +RETALIATED(2) R IY0 - T AE1 - L IY0 - EY2 - T IH0 D +RETALIATING R IH0 - T AE1 - L IY0 - EY2 - T IH0 NG +RETALIATION R IY0 - T AE2 - L IY0 - EY1 - SH AH0 N +RETALIATORY R IY0 - T AE1 - L Y AH0 - T AO2 - R IY0 +RETANA R EH0 - T AE1 - N AH0 +RETARD R IH0 - T AA1 R D +RETARD(2) R IY0 - T AA1 R D +RETARDANT R IY0 - T AA1 R - D AH0 N T +RETARDATION R IY0 - T AA0 R - D EY1 - SH AH0 N +RETARDED R IH0 - T AA1 R - D IH0 D +RETARDED(2) R IY0 - T AA1 R - D AH0 D +RETARDED(3) R IY0 - T AA1 R - D IH0 D +RETARDING R IH0 - T AA1 R - D IH0 NG +RETARDING(2) R IY0 - T AA1 R - D IH0 NG +RETARDS R IH0 - T AA1 R D Z +RETARDS(2) R IY0 - T AA1 R D Z +RETELL R IY0 - T EH1 L +RETELLING R IY0 - T EH1 - L IH0 NG +RETEMEYER R EH1 - T AH0 - M AY2 R +RETENTION R IY0 - T EH1 N - SH AH0 N +RETEST R IY1 - T EH1 S T +RETESTED R IY0 - T EH1 - S T IH0 D +RETESTING R IY0 - T EH1 - S T IH0 NG +RETESTS R IY1 - T EH1 S T S +RETESTS(2) R IY1 - T EH1 S S +RETESTS(3) R IY1 - T EH1 S +RETHERFORD R IH0 - TH ER1 - F ER0 D +RETHINK R IY0 - TH IH1 NG K +RETHINKING R IY0 - TH IH1 NG - K IH0 NG +RETHOUGHT R IY0 - TH AO1 T +RETICENCE R EH1 - T IH0 - S AH0 N S +RETICENT R EH1 - T IH0 - S AH0 N T +RETIN R EH1 - T IH0 N +RETINA R EH1 - T AH0 - N AH0 +RETINAL R EH1 - T AH0 - N AH0 L +RETINOBLASTOMA R EH2 - T IH0 - N OW2 - B L AE2 - S T OW1 - M AH0 +RETINOID R EH1 - T IH0 - N OY0 D +RETINOIDS R EH1 - T IH0 - N OY0 D Z +RETINUE R EH1 - T AH0 - N UW2 +RETINYL R EH1 - T IH0 - N AH0 L +RETIRE R IH0 - T AY1 R +RETIRE(2) R IY0 - T AY1 R +RETIRE(3) R IY2 - T AY1 - ER0 +RETIRED R IH0 - T AY1 R D +RETIRED(2) R IY0 - T AY1 - ER0 D +RETIRED(3) R IY0 - T AY1 R D +RETIREE R IY0 - T AY1 - R IY1 +RETIREE'S R IH0 - T AY2 - R IY1 Z +RETIREES R IY0 - T AY1 - R IY1 Z +RETIREES' R IH0 - T AY2 - R IY1 Z +RETIREMENT R IY0 - T AY1 - ER0 - M AH0 N T +RETIREMENT(2) R IH0 - T AY1 - ER0 - M AH0 N T +RETIREMENTS R IH0 - T AY1 R - M AH0 N T S +RETIREMENTS(2) R IY0 - T AY1 R - M AH0 N T S +RETIRES R IH0 - T AY1 R Z +RETIRES(2) R IY0 - T AY1 - ER0 Z +RETIRES(3) R IY0 - T AY1 R Z +RETIRING R IH0 - T AY1 - R IH0 NG +RETIRING(2) R IY0 - T AY1 - ER0 - IH0 NG +RETIRING(3) R IY0 - T AY1 - R IH0 NG +RETLIN R EH1 T - L IH0 N +RETO R IY1 - T UW1 +RETOOK R IY0 - T UH1 K +RETOOL R IY0 - T UW1 L +RETOOLED R IY0 - T UW1 L D +RETOOLING R IY0 - T UW1 - L IH0 NG +RETORT R IY1 - T AO2 R T +RETORTED R IY0 - T AO1 R - T IH0 D +RETORTS R IH0 - T AO1 R T S +RETORTS(2) R IY0 - T AO1 R T S +RETOUCHING R IY0 - T AH1 - CH IH0 NG +RETRACE R IY0 - T R EY1 S +RETRACED R IY0 - T R EY1 S T +RETRACEMENT R IY0 - T R EY1 S - M AH0 N T +RETRACING R IY0 - T R EY1 - S IH0 NG +RETRACT R IY0 - T R AE1 K T +RETRACTABLE R IY0 - T R AE1 K - T AH0 - B AH0 L +RETRACTED R IY0 - T R AE1 K - T AH0 D +RETRACTING R IY0 - T R AE1 K - T IH0 NG +RETRACTION R IY0 - T R AE1 K - SH AH0 N +RETRACTS R IY0 - T R AE1 K T S +RETRAIN R IY0 - T R EY1 N +RETRAINED R IY0 - T R EY1 N D +RETRAINING R IY0 - T R EY1 - N IH0 NG +RETRANSMISSION R IY2 - T R AE0 N Z - M IH1 - SH AH0 N +RETREAD R IY0 - T R EH1 D +RETREADING R IY0 - T R EH1 - D IH0 NG +RETREADS R IY0 - T R EH1 D Z +RETREAT R IY0 - T R IY1 T +RETREATED R IY0 - T R IY1 - T AH0 D +RETREATED(2) R IY0 - T R IY1 - T IH0 D +RETREATING R IY0 - T R IY1 - T IH0 NG +RETREATS R IY0 - T R IY1 T S +RETRENCH R IY0 - T R EH1 N CH +RETRENCHED R IY0 - T R EH1 N CH T +RETRENCHING R IY0 - T R EH1 N - CH IH0 NG +RETRENCHMENT R IY0 - T R EH1 N CH - M AH0 N T +RETRENCHMENTS R IY0 - T R EH1 N CH - M AH0 N T S +RETRIAL R IY0 - T R AY1 - AH0 L +RETRIBUTION R EH2 - T R AH0 - B Y UW1 - SH AH0 N +RETRIED R IY0 - T R AY1 D +RETRIEVAL R IH0 - T R IY1 - V AH0 L +RETRIEVAL(2) R IY0 - T R IY1 - V AH0 L +RETRIEVE R IH0 - T R IY1 V +RETRIEVE(2) R IY0 - T R IY1 V +RETRIEVED R IY0 - T R IY1 V D +RETRIEVER R IY0 - T R IY1 - V ER0 +RETRIEVERS R IY0 - T R IY1 - V ER0 Z +RETRIEVES R IH0 - T R IY1 V Z +RETRIEVES(2) R IY0 - T R IY1 V Z +RETRIEVING R IY0 - T R IY1 - V IH0 NG +RETRO R EH1 - T R OW0 +RETROACTIVE R EH2 - T R OW0 - AE1 K - T IH0 V +RETROACTIVELY R EH2 - T R OW0 - AE1 K - T IH0 V - L IY0 +RETROACTIVITY R EH2 - T R OW0 - AE0 K - T IH1 - V IH0 - T IY0 +RETROFIT R EH1 - T R OW0 - F IH2 T +RETROFITS R EH1 - T R OW0 - F IH2 T S +RETROFITTED R EH1 - T R OW2 - F IH2 - T IH0 D +RETROFITTER R EH1 - T R OW2 - F IH2 - T ER0 +RETROFITTING R EH1 - T R OW0 - F IH2 - T IH0 NG +RETROGRADE R EH1 - T R AH0 - G R EY2 D +RETROSPECT R EH1 - T R AH0 - S P EH2 K T +RETROSPECTIVE R EH2 - T R AH0 - S P EH1 K - T IH0 V +RETROSPECTIVELY R EH2 - T R OW0 - S P EH1 K - T IH0 V - L IY0 +RETROVIR R EH1 - T R OW0 - V IH2 R +RETROVIRUS R EH2 - T R OW0 - V AY1 - R AH0 S +RETROVIRUSES R EH2 - T R OW0 - V AY1 - R AH0 - S IH0 Z +RETRY R IY0 - T R AY1 +RETRYING R IY0 - T R AY1 - IH0 NG +RETTBERG R EH1 T - B ER0 G +RETTER R EH1 - T ER0 +RETTEW R EH1 - CH UW0 +RETTIG R EH1 - T IH0 G +RETTINGER R EH1 - T IH0 N - JH ER0 +RETTINGER(2) R EH1 - T IH0 - NG ER0 +RETTKE R EH1 T - K IY0 +RETTON R EH1 - T AH0 N +RETURN R IH0 - T ER1 N +RETURN(2) R IY0 - T ER1 N +RETURNABLE R IY0 - T ER1 - N AH0 - B AH0 L +RETURNED R IH0 - T ER1 N D +RETURNED(2) R IY0 - T ER1 N D +RETURNEE R IH0 - T ER0 - N IY1 +RETURNEES R IH0 - T ER0 - N IY1 Z +RETURNING R IH0 - T ER1 - N IH0 NG +RETURNING(2) R IY0 - T ER1 - N IH0 NG +RETURNS R IH0 - T ER1 N Z +RETURNS' R AH0 - T ER1 N Z +RETURNS'(2) R IY0 - T ER1 N Z +RETURNS(2) R IY0 - T ER1 N Z +RETZ R EH1 T S +RETZER R EH1 T - Z ER0 +RETZLAFF R EH1 T Z - L AH0 F +RETZLOFF R EH1 T Z - L AO0 F +REUBEN R UW1 - B AH0 N +REUBER R OY1 - B ER0 +REUL R UW1 L +REULAND R OY1 - L AH0 N D +REULE R UW1 L +REUM R IY1 - AH0 M +REUNIFICATION R IY0 - UW2 - N AH0 - F AH0 - K EY1 - SH AH0 N +REUNIFIED R IY0 - UW1 - N AH0 - F AY2 D +REUNIFY R IY0 - UW1 - N AH0 - F AY2 +REUNION R IY0 - UW1 - N Y AH0 N +REUNIONS R IY0 - UW1 - N Y AH0 N Z +REUNITE R IY2 - UW0 - N AY1 T +REUNITED R IY2 - UW0 - N AY1 - T IH0 D +REUNITES R IY2 - UW0 - N AY1 T S +REUNITING R IY2 - UW0 - N AY1 - T IH0 NG +REUSABLE R IY0 - UW1 - Z AH0 - B AH0 L +REUSCH R OY1 SH +REUSE R IY0 - Y UW1 S +REUSE(2) R IY0 - Y UW1 Z +REUSED R IY0 - UW1 Z D +REUSING R IY0 - Y UW1 - Z IH0 NG +REUSS R UW1 S +REUSSER R OY1 - S ER0 +REUST R UW1 S T +REUTER R OY1 - T ER0 +REUTER'S R OY1 - T ER0 Z +REUTERS R OY1 - T ER0 Z +REUTERS' R OY1 - T ER0 Z +REUTERS'S R OY1 - T ER0 - Z IH0 Z +REUTERS'S(2) R OY1 - T ER0 Z +REUTGERS R OY1 T - G ER0 Z +REUTHER R OY1 - DH ER0 +REUTTER R OY1 - T ER0 +REUTZEL R OY1 T - Z AH0 L +REV R EH1 V +REVA R EY1 - V AH0 +REVAK R EH1 - V AH0 K +REVALUATION R IY0 - V AE1 L - Y UW0 - EY1 - SH AH0 N +REVALUATIONS R IY0 - IH0 - V AE2 L - Y UW0 - EY1 - SH AH0 N Z +REVALUE R IY0 - V AE1 L - Y UW2 +REVALUED R IY0 - V AE1 L - Y UW0 D +REVALUING R IY0 - V AE1 L - Y UW0 - IH0 NG +REVAMP R IY0 - V AE1 M P +REVAMPED R IY0 - V AE1 M P T +REVAMPING R IY0 - V AE1 M - P IH0 NG +REVAMPS R IY0 - V AE1 M P S +REVARD R IH0 - V AA1 R D +REVCO R EH1 V - K OW0 +REVCO'S R EH1 V - K OW0 Z +REVEAL R IH0 - V IY1 L +REVEAL(2) R IY0 - V IY1 L +REVEALED R IH0 - V IY1 L D +REVEALED(2) R IY0 - V IY1 L D +REVEALING R IH0 - V IY1 - L IH0 NG +REVEALING(2) R IY0 - V IY1 - L IH0 NG +REVEALS R IH0 - V IY1 L Z +REVEALS(2) R IY0 - V IY1 L Z +REVEL R EH1 - V AH0 L +REVELATION R EH2 - V AH0 - L EY1 - SH AH0 N +REVELATIONS R EH2 - V AH0 - L EY1 - SH AH0 N Z +REVELATORY R IH0 - V EH1 - L AH0 - T AO2 - R IY0 +REVELED R EH1 - V AH0 L D +REVELER R EH1 - V AH0 - L ER0 +REVELERS R EH1 - V AH0 - L ER0 Z +REVELES R EY0 - V EY1 - L EH0 S +REVELING R EH1 - V AH0 L - IH0 NG +REVELL R EY0 - V EY1 L +REVELLE R IH0 - V EH1 L +REVELLO R EH0 - V EH1 - L OW0 +REVELRY R EH1 - V AH0 L - R IY0 +REVELS R EH1 - V AH0 L Z +REVENGE R IY0 - V EH1 N JH +REVENUE R EH1 - V AH0 - N UW2 +REVENUE(2) R EH1 - V AH0 - N Y UW2 +REVENUES R EH1 - V AH0 - N UW2 Z +REVENUES(2) R EH1 - V AH0 - N Y UW2 Z +REVERB R IY0 - V ER1 B +REVERBED R IY0 - V ER1 B D +REVERBERATE R IH0 - V ER1 - B ER0 - AH0 T +REVERBERATE(2) R IH0 - V ER1 - B ER0 - EY0 T +REVERBERATED R IH0 - V ER1 - B ER0 - EY2 - T IH0 D +REVERBERATED(2) R IY0 - V ER1 - B ER0 - EY2 - T AH0 D +REVERBERATED(3) R IY0 - V ER1 - B ER0 - EY2 - T IH0 D +REVERBERATES R IH0 - V ER1 - B ER0 - EY2 T S +REVERBERATING R IH0 - 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W EH1 L - T AH0 +REVUES R IH0 - V Y UW1 Z +REVULSION R IH0 - V AH1 L - SH AH0 N +REVULSION(2) R IY0 - V AH1 L - SH AH0 N +REVVED R EH1 V D +REVVING R EH1 - V IH0 NG +REVZIN R EH1 V - Z IH0 N +REW R UW1 +REWARD R IH0 - W AO1 R D +REWARD(2) R IY0 - W AO1 R D +REWARDED R IH0 - W AO1 R - D IH0 D +REWARDED(2) R IY0 - W AO1 R - D AH0 D +REWARDED(3) R IY0 - W AO1 R - D IH0 D +REWARDING R IH0 - W AO1 R - D IH0 NG +REWARDING(2) R IY0 - W AO1 R - D IH0 NG +REWARDS R IH0 - W AO1 R D Z +REWARDS(2) R IY0 - W AO1 R D Z +REWATCHING R IY0 - W AA1 - CH IH0 NG +REWERTS R UW1 - ER0 T S +REWEY R UW1 - IY0 +REWIND R IY1 - W AY0 N D +REWIRE R IY0 - W AY1 - ER0 +REWIRED R IY0 - W AY1 - ER0 D +REWIRING R IY0 - W AY1 - ER0 - IH0 NG +REWIS R UW1 - IH0 S +REWORD R IY0 - W ER1 D +REWORK R IY0 - W ER1 K +REWORKED R IY0 - W ER1 K T +REWORKING R IY0 - W ER1 - K IH0 NG +REWRITE R IY0 - R AY1 T +REWRITE(2) R IY1 - R AY2 T +REWRITES R IY0 - R AY1 T S +REWRITING R IY0 - R AY1 - T IH0 NG +REWRITTEN R IY0 - R IH1 - T AH0 N +REWROTE R IY0 - 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Z AH0 K +REZEK R EH1 - Z EH0 K +REZENDES R EY0 - Z EY1 N - D EH0 S +REZNICEK R EH1 Z - N IH0 - CH EH2 K +REZNICK R EH1 Z - N IH0 K +REZNIK R EH1 Z - N IH0 K +REZONING R IY0 - Z OW1 - N IH0 NG +RHA R AA1 +RHAME R EY1 M +RHAMES R EY1 M Z +RHAPSODIC R AE0 P - S AA1 - D IH0 K +RHAPSODIZE R AE1 P - S AH0 - D AY2 Z +RHAPSODIZES R AE1 P - S AH0 - D AY2 - Z IH0 Z +RHAPSODY R AE1 P - S AH0 - D IY0 +RHEA R IY1 - AH0 +RHEAULT R OW1 +RHEAUME R UW1 M +RHEE R IY1 +RHEEM R IY1 M +RHEIN R AY1 N +RHEINGOLD R AY1 N - G OW2 L D +RHEINISCH R AY1 - N IH0 SH +RHEINSTEIN R AY1 N - S T AY2 N +RHEM R EH1 M +RHESUS R IY1 - S AH0 S +RHETA R IY1 - T AH0 +RHETORIC R EH1 - T ER0 - IH0 K +RHETORICAL R IH0 - T AO1 - R IH0 - K AH0 L +RHETORICALLY R AH0 - T AO1 - R IH0 K - L IY0 +RHETORICIAN R EH2 - T ER0 - IH1 - SH AH0 N +RHETORICIANS R EH2 - T ER0 - IH1 - SH AH0 N Z +RHETT R EH1 T +RHEUMATIC R UW0 - M AE1 - T IH0 K +RHEUMATISM R UW1 - M AH0 - T IH2 - Z AH0 M +RHEUMATOID R UW1 - M AH0 - T OY2 D +RHEUMATOLOGIST R UW2 - M AH0 - T AA1 - L AH0 - JH AH0 S T +RHEUMATOLOGY R UW2 - M AH0 - T AA1 - L AH0 - JH IY0 +RHEW R UW1 +RHIN R IH1 N +RHINE R AY1 N +RHINEHARDT R AY1 N - HH AA2 R T +RHINEHART R AY1 N - HH AA2 R T +RHINELAND R AY1 N - L AE2 N D +RHINEMAN R AY1 N - M AH0 N +RHINEMAN'S R AY1 N - M AH0 N Z +RHINES R AY1 N Z +RHINESMITH R AY1 N - S M IH2 TH +RHINESTONE R AY1 N - S T OW2 N +RHINESTONES R AY1 N - S T OW2 N Z +RHINO R AY1 - N OW2 +RHINOCEROS R AY0 - N AA1 - S ER0 - AH0 S +RHINOS R AY1 - N OW2 Z +RHIZOID R AY1 - Z OY2 D +RHIZOIDAL R AY2 - Z OY1 - D AH0 L +RHIZOME R AY1 - Z OW2 M +RHIZOMES R AY1 - Z OW2 M Z +RHO R OW1 +RHOAD R OW1 D +RHOADES R OW1 D Z +RHOADS R OW1 D Z +RHODA R OW1 - D AH0 +RHODANTHE R OW2 - D AE1 N TH +RHODE R OW1 D +RHODE-ISLAND R OW1 - D AY1 - L AH0 N D +RHODE-ISLAND'S R OW1 - D AY1 - L AH0 N D Z +RHODE-ISLANDER R OW1 - D AY1 - L AH0 N - D ER0 +RHODE-ISLANDERS R OW1 - D AY1 - L AH0 N - D ER0 Z +RHODEN R OW1 - D AH0 N +RHODES R OW1 D Z +RHODESIA R OW0 - D IY1 - ZH AH0 +RHODESIAN R OW0 - D IY1 - ZH AH0 N +RHODIA R OW1 - D IY0 - AH0 +RHODIES R OW1 - D IY0 Z +RHODIUM R OW1 - D IY0 - AH0 M +RHODODENDRON R OW2 - D AH0 - D EH1 N - D R AH0 N +RHODOPSIN R OW0 - D AA1 P - S AH0 N +RHODUS R OW1 - D AH0 S +RHODY R OW1 - D IY0 +RHOME R OW1 M +RHONDA R AA1 N - D AH0 +RHONE R OW1 N +RHONEY R OW1 - N IY0 +RHORER R AO1 - R ER0 +RHOTEN R OW1 - T AH0 N +RHOTO R OW1 - T OW0 +RHOTON R OW1 - T AH0 N +RHUBARB R UW1 - B AA2 R B +RHUDE R UW1 D +RHUDY R UW1 - D IY0 +RHUE R UW1 +RHULE R UW1 L +RHYME R AY1 M +RHYMED R AY1 M D +RHYMER R AY1 - M ER0 +RHYMES R AY1 M Z +RHYMING R AY1 - M IH0 NG +RHYNE R AY1 N +RHYNER R AY1 - N ER0 +RHYNES R AY1 N Z +RHYTHM R IH1 - DH AH0 M +RHYTHMIC R IH1 DH - M IH0 K +RHYTHMICALLY R IH1 DH - M IH0 K - L IY0 +RHYTHMS R IH1 - DH AH0 M Z +RIA R IY1 - AH0 +RIAD R IY0 - AA1 D +RIADY R IY0 - AA1 - D IY0 +RIADYS R IY0 - AA1 - D IY0 Z +RIAL R AY1 - AH0 L +RIALS R AY1 L Z +RIB R IH1 B +RIBA R IY1 - B AH0 +RIBALD R AY1 - B AA0 L D +RIBALDRY R AY1 - B AA0 L - D R IY0 +RIBAR R IH0 - B AA1 R +RIBAS R AY1 - B AH0 Z +RIBAUDO R IY0 - B AO1 - D OW0 +RIBAVIRIN R IH0 - B AE1 - V IH0 - R IH0 N +RIBBED R IH1 B D +RIBBING R IH1 - B IH0 NG +RIBBIT R IH1 - B IH0 T +RIBBLE R IH1 - B AH0 L +RIBBON R IH1 - B AH0 N +RIBBONS R IH1 - B AH0 N Z +RIBEIRO R IY0 - B EH1 - R OW0 +RIBERA R IY0 - B EH1 - R AH0 +RIBI R IY1 - B IY0 +RIBICOFF R IH1 - B IH0 K - AO2 F +RIBKA R IH1 - B K AH0 +RIBS R IH1 B Z +RIC R IH1 K +RICA R IY1 - K AH0 +RICA'S R IY1 - K AH0 Z +RICADONNA R IY0 - K AA0 - D OW1 - N AH0 +RICAN R IY1 - K AH0 N +RICANS R IH1 - K AH0 N Z +RICARD R IH0 - K AA1 R D +RICARDO R IH0 - K AA1 R - D OW0 +RICAURTE R AH0 - K AA1 R - T EY2 +RICCA R IY1 - K AH0 +RICCARDI R IY0 - K AA1 R - D IY0 +RICCARDO R IH0 - K AA1 R - D OW0 +RICCI R IY1 - CH IY0 +RICCIARDELLI R IY0 - CH ER0 - D EH1 - L IY0 +RICCIARDI R IY0 - CH AA1 R - D IY0 +RICCIO R IY1 - CH IY0 - OW0 +RICCITELLI R IY0 - CH IY0 - T EH1 - L IY0 +RICCIUTI R IY0 K - CH UW1 - T IY0 +RICCO R IH1 - K OW0 +RICCOBONO R IY0 - K OW0 - B OW1 - N OW0 +RICE R AY1 S +RICE'S R AY1 - S IH0 Z +RICEVILLE R AY1 S - V IH0 L +RICH R IH1 CH +RICH'S R IH1 - CH IH0 Z +RICHA R IH1 - CH AH0 +RICHARD R IH1 - CH ER0 D +RICHARD'S R IH1 - CH ER0 D Z +RICHARDS R IH1 - CH ER0 D Z +RICHARDS' R IH1 - CH ER0 D Z +RICHARDS'S R IH1 - CH ER0 D - Z IH0 Z +RICHARDSON R IH1 - CH ER0 D - S AH0 N +RICHARDSON'S R IH1 - CH ER0 D - S AH0 N Z +RICHARDSONSMITH R IH1 - CH ER0 D - S AH0 N - S M IH1 TH +RICHARDT R IH1 - K AA0 R T +RICHARSON R IH1 - CH AA2 R - S AH0 N +RICHART R IH1 K - HH AA0 R T +RICHAUD R IH0 - SH OW2 D +RICHBOURG R IH1 CH - B AO2 R G +RICHBURG R IH1 CH - B ER0 G +RICHCO R IH1 - K OW0 +RICHCREEK R IH1 CH - K R IY2 K +RICHE R IH1 CH +RICHELIEU R IH1 - SH AH0 - L UW2 +RICHELSON R IH1 - CH AH0 L - S AH0 N +RICHEMONT R IH1 - CH AH0 - M AA2 N T +RICHENTHAL R IH1 - K AH0 N - TH AO2 L +RICHER R IH1 - CH ER0 +RICHERD R IH1 - CH ER0 D +RICHERSON R IH1 - CH ER0 - S AH0 N +RICHERT R IH1 - K ER0 T +RICHES R IH1 - CH AH0 Z +RICHES(2) R IH1 - CH IH0 Z +RICHESIN R IH1 - K IH0 - S IH0 N +RICHESON R IH1 - K IH0 - S AH0 N +RICHEST R IH1 - CH AH0 S T +RICHEY R IH1 - CH IY0 +RICHFIELD R IH1 CH - F IY2 L D +RICHFIELD'S R IH1 CH - F IY2 L D Z +RICHFORD R IH1 CH - F ER0 D +RICHIE R IH1 - CH IY0 +RICHINS R IH1 - K IH0 N Z +RICHISON R IH1 - CH IH0 - S AH0 N +RICHLAND R IH1 CH - L AH0 N D +RICHLAND(2) R IH1 CH - L AE0 N +RICHLY R IH1 CH - L IY0 +RICHMAN R IH1 CH - M AE2 N +RICHMOND R IH1 CH - M AH0 N D +RICHMOND'S R IH1 CH - M AH0 N D Z +RICHNER R IH1 K - N ER0 +RICHNESS R IH1 CH - N AH0 S +RICHOUX R IH0 - SH UW1 +RICHSTONE R IH1 CH - S T OW2 N +RICHTER R IH1 K - T ER0 +RICHTON R IH1 CH - T AH0 N +RICHTS R IH1 K T S +RICHWHITE R IH1 CH - W AY2 T +RICHWINE R IH1 CH - W AY2 N +RICIGLIANO R IH0 - S IH2 - G L IY0 - AA1 - N OW0 +RICK R IH1 K +RICK'S R IH1 K S +RICKABAUGH R IH1 - K AH0 - B AO2 +RICKARD R IH1 - K ER0 D +RICKARDS R IH1 - K ER0 D Z +RICKE R IH1 K +RICKEL R IH1 - K AH0 L +RICKELS R IH1 - K AH0 L Z +RICKEN R IH1 - K AH0 N +RICKENBACH R IH1 - K IH0 N - B AA0 K +RICKENBAKER R IH1 - K IH0 N - B AH0 - K ER0 +RICKER R IH1 - K ER0 +RICKERS R IH1 - K ER0 Z +RICKERSON R IH1 - K ER0 - S AH0 N +RICKERT R IH1 - K ER0 T +RICKETS R IH1 - K IH0 T S +RICKETSON R IH1 - K IH0 T - S AH0 N +RICKETT R IH1 - K IH0 T +RICKETTS R IH1 - K IH0 T S +RICKETY R IH1 - K AH0 - T IY0 +RICKEY R IH1 - K IY0 +RICKI R IH1 - K IY0 +RICKIE R IH1 - K IY0 +RICKLEFS R IH1 - K L IH0 F S +RICKLES R IH1 - K AH0 L Z +RICKMAN R IH1 K - M AH0 N +RICKNER R IH1 K - N ER0 +RICKS R IH1 K S +RICKSON R IH1 K - S AH0 N +RICKWARD R IH1 - K W ER0 D +RICKWOOD R IH1 - K W UH2 D +RICKY R IH1 - K IY0 +RICO R IY1 - K OW0 +RICO'S R IY1 - K OW0 Z +RICOCHET R IH1 - K AH0 - SH EY2 +RICOCHETED R IH1 - K AH0 - SH EY2 D +RICOCHETING R IH1 - K AH0 - SH EY2 - IH0 NG +RICOH R IY1 - K OW0 +RICOH'S R IY1 - K OW0 Z +RICOSTRUZIONE R IY0 - K OW0 S T - R UW0 - Z IY0 - OW1 - N IY0 +RID R IH1 D +RIDABLE R AY1 - D AH0 - B AH0 L +RIDDANCE R IH1 - D AH0 N S +RIDDELL R IH1 - D AH0 L +RIDDEN R IH1 - D AH0 N +RIDDER R IH1 - D ER0 +RIDDER'S R IH1 - D ER0 Z +RIDDICK R IH1 - D IH0 K +RIDDING R IH1 - D IH0 NG +RIDDLE R IH1 - D AH0 L +RIDDLED R IH1 - D AH0 L D +RIDDLER R IH1 D - L ER0 +RIDDLES R IH1 - D AH0 L Z +RIDDOCK R IH1 - D AH0 K +RIDE R AY1 D +RIDEAU R IH0 - D OW1 +RIDEAUX R IH0 - D OW1 +RIDEN R AY1 - D AH0 N +RIDENER R IH1 - D IY0 - N ER0 +RIDENHOUR R IH1 - D IH0 - N AW0 R +RIDENOUR R IH1 - D IH0 - N UH0 R +RIDEOUT R AY1 D - AW2 T +RIDER R AY1 - D ER0 +RIDER'S R AY1 - D ER0 Z +RIDERS R AY1 - D ER0 Z +RIDERSHIP R AY1 - D ER0 - SH IH2 P +RIDES R AY1 D Z +RIDGE R IH1 JH +RIDGE'S R IH1 - JH IH0 S +RIDGECREST R IH1 JH - K R EH2 S T +RIDGED R IH1 JH D +RIDGEFIELD R IH1 JH - F IY2 L D +RIDGELL R IH1 - JH AH0 L +RIDGELY R IH1 JH - L IY0 +RIDGES R IH1 - JH AH0 Z +RIDGES(2) R IH1 - JH IH0 Z +RIDGEWAY R IH1 JH - W EY2 +RIDGEWOOD R IH1 JH - W UH2 D +RIDGLEY R IH1 JH - L IY0 +RIDGWAY R IH1 JH - W EY2 +RIDICULE R IH1 - D AH0 - K Y UW2 L +RIDICULED R IH1 - D AH0 - K Y UW2 L D +RIDICULES R IH1 - D AH0 - K Y UW2 L Z +RIDICULING R IH1 - D AH0 - K Y UW2 - L IH0 NG +RIDICULOUS R IH0 - D IH1 - K Y AH0 - L AH0 S +RIDICULOUSLY R AH0 - D IH1 - K Y AH0 - L AH0 S - L IY0 +RIDING R AY1 - D IH0 NG +RIDINGER R AY1 - D IH0 - NG ER0 +RIDINGS R AY1 - D IH0 NG Z +RIDLEY R IH1 D - L IY0 +RIDLING R IH1 D - L IH0 NG +RIDLON R IH1 D - L AH0 N +RIDNER R IH1 D - N ER0 +RIDOLFI R IY0 - D OW1 L - F IY0 +RIDOUT R IH1 D - AW2 T +RIDPATH R IH1 D - P AE2 TH +RIDS R IH1 D Z +RIEBE R IY1 B +RIEBEL R IY1 - B AH0 L +RIEBEN R IY1 - B AH0 N +RIEBER R IY1 - B ER0 +RIEBMAN R IY1 B - M AH0 N +RIECHERS R IY1 - K ER0 Z +RIECK R IY1 K +RIECKE R IY1 K +RIED R IY1 D +RIEDE R IY1 D +RIEDEL R IY1 - D AH0 L +RIEDER R IY1 - D ER0 +RIEDERER R IY1 - D ER0 - ER0 +RIEDERS R IY1 - D ER0 Z +RIEDERS' R IY1 - D ER0 Z +RIEDESEL R IY1 - D IH0 S - AH0 L +RIEDL R IY1 - D AH0 L +RIEDLINGER R IY1 - D AH0 L - IH0 - NG ER0 +RIEDLINGER(2) R IY1 D - L IH0 - NG ER0 +RIEDY R IY1 - D IY0 +RIEF R IY1 F +RIEG R IY1 G +RIEGE R IY1 JH +RIEGEL R IY1 - G AH0 L +RIEGER R IY1 - G ER0 +RIEGERT R IY1 - G ER0 T +RIEGLE R IY1 - G AH0 L +RIEGLER R IY1 - G L ER0 +RIEHL R IY1 L +RIEHLE R IY1 - HH AH0 L +RIEHM R IY1 M +RIEK R IY1 K +RIEKE R IY1 K +RIEKEN R IY1 - K AH0 N +RIEKER R IY1 - K ER0 +RIEL R IY1 L +RIELLY R IY1 - L IY0 +RIELY R IY1 - L IY0 +RIEMAN R IY1 - M AH0 N +RIEMANN R IY1 - M AH0 N +RIEMENSCHNEIDER R IY1 - M IH0 N SH - N AY0 - D ER0 +RIEMER R IY1 - M ER0 +RIEMERSMA R IY0 - M EH1 R S - M AH0 +RIENDEAU R AH0 N - D OW1 +RIENSTRA R IY1 N - S T R AH0 +RIEPE R IY1 P +RIERA R IY1 - R AH0 +RIERSON R IY1 R - S AH0 N +RIES R AY1 Z +RIESBERG R IY1 S - B ER0 G +RIESE R IY1 Z +RIESEN R IY1 - S AH0 N +RIESENBERG R IY1 - S AH0 N - B ER0 G +RIESER R IY1 - S ER0 +RIESH R AY1 SH +RIESH(2) R IY1 SH +RIESLING R IY1 Z - L IH0 NG +RIESS R IY1 S +RIESTER R AY1 - IH0 - S T ER0 +RIESTERER R IY1 - S T ER0 - ER0 +RIETH R AY1 - IH0 TH +RIETVELD R IY1 T - V IH0 L D +RIETZ R IY1 T S +RIEVES R IY1 V Z +RIFE R AY1 F +RIFENBURGH R IH1 - F AH0 N - B ER0 G +RIFF R IH1 F +RIFFE R IH1 F +RIFFEL R IH1 - F AH0 L +RIFFEY R IH1 - F IY0 +RIFFLE R IH1 - F AH0 L +RIFFRAFF R IH1 F - R AE2 F +RIFFS R IH1 F S +RIFKIN R IH1 F - K IH0 N +RIFKIN'S R IH1 F - K IH0 N Z +RIFKIND R IH1 F - K IH0 N D +RIFLE R AY1 - F AH0 L +RIFLED R AY1 - F AH0 L D +RIFLEMAN R AY1 - F AH0 L - M AH0 N +RIFLERY R AY1 - F AH0 L - R IY0 +RIFLES R AY1 - F AH0 L Z +RIFLING R AY1 - F L IH0 NG +RIFT R IH1 F T +RIFTS R IH1 F T S +RIG R IH1 G +RIGA R IY1 - G AH0 +RIGAS R AY1 - G AH0 Z +RIGATONI R IH0 - G AH0 - T OW1 - N IY0 +RIGBY R IH1 G - B IY0 +RIGDON R IH1 G - D AH0 N +RIGEL R AY1 - JH AH0 L +RIGG R IH1 G +RIGGAN R IH1 - G AH0 N +RIGGED R IH1 G D +RIGGEN R IH1 - G AH0 N +RIGGENBACH R IH1 - G IH0 N - B AA0 K +RIGGI R IH1 - JH IY0 +RIGGIN R IH1 - G IH0 N +RIGGING R IH1 - G IH0 NG +RIGGINGS R IH1 - G IH0 NG Z +RIGGINS R IH1 - G IH0 N Z +RIGGIO R IY1 - JH IY0 - OW0 +RIGGLE R IH1 - G AH0 L +RIGGLEMAN R IH1 - G AH0 L - M AH0 N +RIGGS R IH1 G Z +RIGGSBEE R IH1 G Z - B IY0 +RIGHETTI R IY0 - G EH1 - T IY0 +RIGHI R IY1 - G IY0 +RIGHT R AY1 T +RIGHT'S R AY1 T S +RIGHT-BRACE R AY1 T - B R EY1 S +RIGHT-WINGER R AY2 T - W IH1 - NG ER0 +RIGHT-WINGERS R AY2 T - W IH1 - NG ER0 Z +RIGHTED R AY1 - T IH0 D +RIGHTEOUS R AY1 - CH AH0 S +RIGHTEOUSLY R AY1 - CH AH0 S - L IY0 +RIGHTEOUSNESS R AY1 - CH AH0 S - N AH0 S +RIGHTER R AY1 - T ER0 +RIGHTFUL R AY1 T - F AH0 L +RIGHTFULLY R AY1 T - F AH0 - L IY0 +RIGHTHAND R AY0 T - HH AE1 N D +RIGHTHANDED R AY0 T - HH AE1 N - D IH0 D +RIGHTISH R AY1 - T IH0 SH +RIGHTIST R AY1 - T IH0 S T +RIGHTISTS R AY1 - T IH0 S T S +RIGHTLY R AY1 T - L IY0 +RIGHTMIRE R AY1 T - M AY2 R +RIGHTMYER R AY1 T - M IY0 - ER0 +RIGHTNESS R AY1 T - N AH0 S +RIGHTS R AY1 T S +RIGHTS' R AY1 T S +RIGHTWARD R AY1 T - W ER0 D +RIGHTWING R AY1 T - W IH2 NG +RIGHTY R AY1 - T IY0 +RIGID R IH1 - JH AH0 D +RIGID(2) R IH1 - JH IH0 D +RIGIDITIES R IH0 - JH IH1 - D IH0 - T IY0 Z +RIGIDITY R IH0 - JH IH1 - D AH0 - T IY0 +RIGIDLY R IH1 - JH IH0 D - L IY0 +RIGLER R AY1 - G AH0 - L ER0 +RIGLER(2) R IH1 - G L ER0 +RIGNEY R IH1 G - N IY0 +RIGO R IY1 - G OW0 +RIGOLETTO R IH2 - G AH0 - L EH1 - T OW0 +RIGONI R IY0 - G OW1 - N IY0 +RIGOR R IH1 - G ER0 +RIGOROUS R IH1 - G ER0 - AH0 S +RIGOROUSLY R IH1 - G ER0 - AH0 S - L IY0 +RIGORS R IH1 - G ER0 Z +RIGS R IH1 G Z +RIGSBEE R IH1 G Z - B IY2 +RIGSBY R IH1 G Z - B IY0 +RIGUEUR R IH0 - G Y UW1 R +RIGUEUR(2) R IH1 - G ER0 +RIHA R AY1 - HH AH0 +RIHN R IH1 N +RIJN R IY1 - AH0 N +RIKARD R IH1 - K ER0 D +RIKE R AY1 K +RIKELD R AY1 - K EH0 L D +RIKELD(2) R IH1 - K EH0 L D +RIKER R AY1 - K ER0 +RIKER'S R AY1 - K ER0 Z +RIKERS R AY1 - K ER0 Z +RIKKI R IH1 - K IY0 +RIKLIS R IH1 - K L IH0 S +RIKSBANK R IH1 K S - B AE2 NG K +RIKSDAG R IH1 K S - D AE0 G +RILE R AY1 L +RILED R AY1 L D +RILES R AY1 L Z +RILEY R AY1 - L IY0 +RILEY'S R AY1 - L IY0 Z +RILL R IH1 L +RILL'S R IH1 L Z +RILLA R IH1 - L AH0 +RILLETTE R IH0 - L EH1 T +RILLING R IH1 - L IH0 NG +RILWANU R IH0 L - W AA1 - N UW0 +RIM R IH1 M +RIMA R IY1 - M AH0 +RIMBEY R IH1 M - B IY0 +RIMEL R IH1 - M AH0 L +RIMER R AY1 - M ER0 +RIMES R AY1 M Z +RIMKUS R IH1 M - K AH0 S +RIMMED R IH1 M D +RIMMER R IH1 - M ER0 +RIMPOCHET R IH0 - P OW1 - CH IH0 T +RIMPOCHET(2) R IH2 M - P OW1 - CH AH0 T +RIMPOCHETS R IH2 - P OW1 - CH IH0 T S +RIMPOCHETS(2) R IH2 M - P OW1 - CH IH0 T S +RIMS R IH1 M Z +RIMSON R IH1 M - S AH0 N +RINA R IY1 - N AH0 +RINALDI R IY0 - N AA1 L - D IY0 +RINALDO R IH0 - N AA1 L - D OW0 +RINARD R IH1 - N ER0 D +RINAS R AY1 - N AH0 Z +RINAUDO R IY0 - N AO1 - D OW0 +RINCK R IH1 NG K +RINCON R IH1 NG - K AH0 N +RIND R AY1 N D +RINDAHL R IH1 N - D AA2 L +RINDERER R IH1 N - D ER0 - ER0 +RINDERKNECHT R IH1 N - D ER0 K - N IH0 K T +RINDFLEISCH R IH1 N D - F L AY2 SH +RINDS R AY1 N D Z +RINDT R IH1 N T +RINE R AY1 N +RINEER R IH1 - N IH0 R +RINEHARDT R AY1 N - HH AA2 R T +RINEHART R AY1 N - HH AA2 R T +RINEHIMER R AY1 N - HH AY2 - M ER0 +RINELLA R IH0 - N EH1 - L AH0 +RINER R AY1 - N ER0 +RINES R AY1 N Z +RINEY R AY1 - N IY0 +RING R IH1 NG +RING'S R IH1 NG Z +RING-AROUND-THE-ROSY R IH1 - NG ER0 - AW1 N - DH ER0 - OW1 - Z IY0 +RINGBERG R IH1 NG - B ER0 G +RINGDAHL R IH1 NG - D AA0 L +RINGE R IH1 NG +RINGED R IH1 NG D +RINGEISEN R IH1 NG - G AY0 - S AH0 N +RINGEL R IH1 NG - G AH0 L +RINGEN R IH1 - NG AH0 N +RINGENBERG R IH1 - NG AH0 N - B ER0 G +RINGER R IH1 - NG ER0 +RINGERS R IH1 - NG ER0 Z +RINGGENBERG R IH1 NG - G AH0 N - B ER0 G +RINGGIT R IH1 - NG IH0 T +RINGGOLD R IH1 NG - G OW2 L D +RINGING R IH1 - NG IH0 NG +RINGLAND R IH1 NG - G L AH0 N D +RINGLE R IH1 NG - G AH0 L +RINGLEADER R IH1 NG - L IY2 - D ER0 +RINGLEADERS R IH1 NG - L IY2 - D ER0 Z +RINGLER R IH1 NG - G AH0 - L ER0 +RINGLER(2) R IH1 NG - G L ER0 +RINGLEY R IH1 NG - G L IY0 +RINGLING R IH1 NG - L IH0 NG +RINGMASTER R IH1 NG - M AE2 - S T ER0 +RINGNECK R IH1 NG - N EH2 K +RINGO R IY1 NG - G OW0 +RINGOLD R IH1 NG - G OW0 L D +RINGQUIST R IH1 NG - K W IH0 S T +RINGS R IH1 NG Z +RINGSIDE R IH1 NG - S AY2 D +RINGSTAD R IH1 NG - S T AH0 D +RINGUETTE R IH0 - NG EH1 T +RINGWALD R IH1 NG - W AO0 L D +RINGWOOD R IH1 NG - W UH2 D +RINI R IY1 - N IY0 +RININGER R IH1 - N IH0 - NG ER0 +RINK R IH1 NG K +RINKE R IH1 NG K +RINKENBERGER R IH1 NG - K AH0 N - B ER0 - G ER0 +RINKER R IH1 NG - K ER0 +RINKO R IH1 NG - K OW0 +RINKS R IH1 NG K S +RINN R IH1 N +RINNE R IH1 N +RINSE R IH1 N S +RINSING R IH1 N - S IH0 NG +RINTALA R IY0 N - T AA1 - L AH0 +RINTEL R IH0 N - T EH1 L +RINTEL'S R IH0 N - T EH1 L Z +RINTELS R IH0 N - T EH1 L Z +RINTELS' R IH0 N - T EH1 L Z +RIO R IY1 - OW0 +RIO'S R IY1 - OW0 Z +RIO-DE-JANEIRO R IY1 - OW0 - D IY1 - JH AH0 - N EH1 - R OW2 +RIOJAS R IY0 - OW1 - Y AA0 Z +RIOLO R IY0 - OW1 - L OW0 +RION R AY1 - AH0 N +RIOPEL R IY0 - AH0 - P EH1 L +RIOPELLE R IY0 - AH0 - P EH1 - L IY0 +RIORDAN R IH1 R - D AH0 N +RIORDAN'S R IH1 R - D AH0 N Z +RIOS R IY1 - OW0 S +RIOT R AY1 - AH0 T +RIOTED R AY1 - AH0 - T IH0 D +RIOTER R AY1 - AH0 - T ER0 +RIOTERS R AY1 - AH0 - T ER0 Z +RIOTING R AY1 - AH0 - T IH0 NG +RIOTOUS R AY1 - AH0 - T AH0 S +RIOTS R AY1 - AH0 T S +RIOTS' R AY1 - AH0 T S +RIOUX R UW1 +RIP R IH1 P +RIPA R IY1 - P AH0 +RIPE R AY1 P +RIPEN R AY1 - P AH0 N +RIPENED R AY1 - P AH0 N D +RIPENING R AY1 - P AH0 - N IH0 NG +RIPENING(2) R AY1 P - N IH0 NG +RIPHAGEN R IH1 - P AA2 - G AH0 N +RIPKA R IY1 P - K AH0 +RIPKE R IH1 P K +RIPKEN R IH1 P - K AH0 N +RIPKEN'S R IH1 P - K AH0 N Z +RIPKIN R IH1 P - K IH0 N +RIPLEY R IH1 - P L IY0 +RIPOFF R IH1 - P AO2 F +RIPOFFS R IH1 - P AO2 F S +RIPOSTE R IH0 - P OW1 S T +RIPOSTES R IH0 - P AO1 S T S +RIPP R IH1 P +RIPPE R IH1 P +RIPPED R IH1 P T +RIPPEE R IH1 - P IY1 +RIPPEL R IH1 - P AH0 L +RIPPEON R IH1 - P IY0 - AH0 N +RIPPER R IH1 - P ER0 +RIPPERGER R IH1 - P ER0 - G ER0 +RIPPETOE R IH1 - P IH0 - T OW0 +RIPPEY R IH1 - P IY0 +RIPPING R IH1 - P IH0 NG +RIPPLE R IH1 - P AH0 L +RIPPLED R IH1 - P AH0 L D +RIPPLES R IH1 - P AH0 L Z +RIPPLING R IH1 - P AH0 L - IH0 NG +RIPPLING(2) R IH1 - P L IH0 NG +RIPPLINGER R IH1 - P AH0 L - IH0 - NG ER0 +RIPPLINGER(2) R IH1 - P L IH0 - NG ER0 +RIPPON R IH1 - P AH0 N +RIPPY R IH1 - P IY0 +RIPS R IH1 P S +RISA R IY1 - S AH0 +RISBERG R IH1 S - B ER0 G +RISC R IH1 S K +RISCH R IH1 SH +RISDEN R IH1 S - D AH0 N +RISDON R IH1 S - D AH0 N +RISE R AY1 Z +RISEN R IH1 - Z AH0 N +RISENHOOVER R IH1 - S IH0 N - HH UW0 - V ER0 +RISENHOOVER(2) R AY1 - Z IH0 N - HH UW0 - V ER0 +RISER R AY1 - Z ER0 +RISES R AY1 - Z AH0 Z +RISES(2) R AY1 - Z IH0 Z +RISH R IH1 SH +RISHEL R IH1 - SH AH0 L +RISHELL R IH1 - SH AH0 L +RISHER R IH1 - SH ER0 +RISI R IY1 - S IY0 +RISIN R AY1 - Z IH0 N +RISING R AY1 - Z IH0 NG +RISINGER R AY1 - Z IH0 - NG ER0 +RISK R IH1 S K +RISKE R IH1 S K +RISKE'S R IH1 S K S +RISKED R IH1 S K T +RISKIER R IH1 S K - IY0 - ER0 +RISKIEST R IH1 S - K IY0 - AH0 S T +RISKIN R IH1 - S K IH0 N +RISKINESS R IH1 S K - IY0 - N AH0 S +RISKING R IH1 - S K IH0 NG +RISKLESS R IH1 S K - L AH0 S +RISKO R IH1 - S K OW0 +RISKS R IH1 S K S +RISKY R IH1 S - K IY0 +RISLEY R IH1 Z - L IY0 +RISNER R IH1 S - N ER0 +RISO R IY1 - S OW0 +RISON R IH1 - S AH0 N +RISPOLI R IY0 - S P OW1 - L IY0 +RISQUE R IH2 - S K EY1 +RISS R IH1 S +RISSE R IH1 S +RISSER R IH1 - S ER0 +RISSLER R IH1 S - L ER0 +RISSMAN R IH1 S - M AH0 N +RISSMILLER R IH1 S - M IH0 - L ER0 +RISSO R IH1 - S OW0 +RISSOLI R IH0 - S OW1 - L IY0 +RIST R IH1 S T +RISTAU R IH1 - S T AW0 +RISTER R IH1 - S T ER0 +RISTON R IH1 - S T AH0 N +RISTORANTE R IH0 - S T ER0 - AA1 N - T EY0 +RISTOW R IH1 - S T OW0 +RITA R IY1 - T AH0 +RITA'S R IY1 - T AH0 Z +RITACCO R IY0 - T AA1 - K OW0 +RITALIN R IH1 - T AH0 - L IH0 N +RITCEY R IH1 T - S IY0 +RITCEY'S R IH1 T - S IY0 Z +RITCH R IH1 CH +RITCHEY R IH1 - CH IY0 +RITCHIE R IH1 - CH IY0 +RITE R AY1 T +RITE'S R AY1 T S +RITENOUR R IH1 - T AH0 - N AW0 R +RITENOUR(2) R AY1 - T AH0 - N AW0 R +RITER R AY1 - T ER0 +RITES R AY1 T S +RITESH R IH2 - T EH1 SH +RITGER R IH1 T - G ER0 +RITNER R IH1 T - N ER0 +RITSEMA R IH0 T - S IY1 - M AH0 +RITSON R IH1 T - S AH0 N +RITT R IH1 T +RITTENBERG R IH1 - T AH0 N - B ER0 G +RITTENBERRY R IH1 - T AH0 N - B EH0 - R IY0 +RITTENHOUSE R IH1 - T AH0 N - HH AW2 S +RITTENOUR R IH1 - T AH0 - N AW0 R +RITTER R IH1 - T ER0 +RITTERBUSCH R IH1 - T ER0 - B UH2 SH +RITTEREISER R IH1 - T ER0 - AY2 - Z ER0 +RITTEREISER'S R IH1 - T ER0 - AY2 - Z ER0 Z +RITTGERS R IH1 T - G ER0 Z +RITTHALER R IH1 - TH AH0 - L ER0 +RITTLE R IH1 - T AH0 L +RITTMAN R IH1 T - M AH0 N +RITTNER R IH1 T - N ER0 +RITTS R IH1 T S +RITUAL R IH1 - CH UW0 - AH0 L +RITUALISTIC R IH2 - CH UW0 - AH0 - L IH1 - S T IH0 K +RITUALISTICALLY R IH2 - CH UW0 - AH0 - L IH1 - S T IH0 - K AH0 - L IY0 +RITUALISTICALLY(2) R IH2 - CH UW0 - AH0 - L IH1 - S T IH0 K - L IY0 +RITUALS R IH1 - CH UW0 - AH0 L Z +RITZ R IH1 T S +RITZEL R IH1 T - Z AH0 L +RITZENTHALER R IH1 T - Z IH0 N - TH AH0 - L ER0 +RITZENTHALER(2) R IH1 T - S IH0 N - TH AA2 - L ER0 +RITZER R IH1 T - Z ER0 +RITZERT R IH1 T - Z ER0 T +RITZIEST R IH1 T - S IY0 - AH0 S T +RITZMAN R IH1 T S - M AH0 N +RITZY R IH1 T - S IY0 +RIUNITE R IY0 - UW0 - N AY1 T +RIUNITE(2) R IY0 - UW0 - N AY1 - T IY0 +RIVA R IY1 - V AH0 +RIVAL R AY1 - V AH0 L +RIVAL'S R AY1 - V AH0 L Z +RIVALED R AY1 - V AH0 L D +RIVALING R AY1 - V AH0 L - IH0 NG +RIVALING(2) R AY1 V - L IH0 NG +RIVALRIES R AY1 - V AH0 L - R IY0 Z +RIVALRY R AY1 - V AH0 L - R IY0 +RIVALS R AY1 - V AH0 L Z +RIVALS' R AY1 - V AH0 L Z +RIVARD R IH1 - V ER0 D +RIVAS R IY1 - V AA0 Z +RIVEN R IH1 - V AH0 N +RIVENBARK R IH1 - V IH0 N - B AA0 R K +RIVENBURG R IH1 - V AH0 N - B ER0 G +RIVENBURGH R IH1 - V IH0 N - B ER0 G +RIVER R IH1 - V ER0 +RIVER'S R IH1 - V ER0 Z +RIVERA R IH0 - V EH1 - R AH0 +RIVERBANK R IH1 - V ER0 - B AE2 NG K +RIVERBED R IH1 - V ER0 - B EH2 D +RIVERBEND R IH1 - V ER0 - B EH2 N D +RIVERBOAT R IH1 - V ER0 - B OW2 T +RIVERBOAT'S R IH1 - V ER0 - B OW2 T S +RIVERBOATS R IH1 - V ER0 - B OW2 T S +RIVERDALE R IH1 - V ER0 - D EY2 L +RIVERFRONT R IH1 - V ER0 - F R AH2 N T +RIVERHEAD R IH1 - V ER0 - HH EH2 D +RIVERO R IY0 - V EH1 - R OW0 +RIVERS R IH1 - V ER0 Z +RIVERSIDE R IH1 - V ER0 - S AY2 D +RIVERSO R IH1 - V ER0 - S OW0 +RIVERWAY R IH1 - V ER0 - W EY2 +RIVERWOOD R IH1 - V ER0 - W UH2 D +RIVES R AY1 V Z +RIVEST R IH1 - V IH0 S T +RIVET R IH1 - V AH0 T +RIVETED R IH1 - V AH0 - T IH0 D +RIVETING R IH1 - V AH0 - T IH0 NG +RIVETS R IH1 - V AH0 T S +RIVETT R IH1 - V IH0 T +RIVETTE R IH0 - V EH1 T +RIVIELLO R IY2 - V IY0 - EH1 - L OW0 +RIVIERA R IH2 - V IY0 - EH1 - R AH0 +RIVIERE R IH1 - V IY0 - EH0 R +RIVIERES R IH0 - V Y IH1 - R EH0 Z +RIVKIN R IH1 V - K IH0 N +RIVKIND R IH1 V - K IH0 N D +RIVLIN R IH1 V - L IH0 N +RIX R IH1 K S +RIYAD R IY0 - AA1 D +RIYAD(2) R IY0 - AE1 D +RIYADH R IY0 - AE1 D +RIYADH(2) R IY0 - AA1 D +RIYALS R IY0 - Y AA1 L Z +RIZ R IH1 Z +RIZER R AY1 - Z ER0 +RIZK R IH1 Z K +RIZO R IY1 - Z OW0 +RIZOR R AY1 - Z ER0 +RIZZA R IH1 - Z AH0 +RIZZI R IH1 - Z IY0 +RIZZO R IH1 - Z OW0 +RIZZOLI R IH0 - Z OW1 - L IY0 +RIZZOLO R IY0 T - S OW1 - L OW0 +RIZZUTI R IY0 T - S UW1 - T IY0 +RIZZUTO R IY0 - T S UW1 - T OW0 +RO R OW1 +ROA R OW1 - AH0 +ROACH R OW1 CH +ROACHE R OW1 CH +ROACHES R OW1 - CH IH0 Z +ROAD R OW1 D +ROAD'S R OW1 D Z +ROADBLOCK R OW1 D - B L AA2 K +ROADBLOCKS R OW1 D - B L AA2 K S +ROADCAP R OW1 D - K AE2 P +ROADES R OW1 D Z +ROADHOUSE R OW1 D - HH AW2 S +ROADIE R OW1 - D IY0 +ROADMASTER R OW1 D - M AE2 - S T ER0 +ROADRAILER R OW1 - D R EY2 - L ER0 +ROADRUNNER R OW1 - D R AH2 - N ER0 +ROADS R OW1 D Z +ROADSHOW R OW1 D - SH OW2 +ROADSIDE R OW1 D - S AY2 D +ROADSIDES R OW1 D - S AY2 D Z +ROADSTER R OW1 D - S T ER0 +ROADWAY R OW1 D - W EY2 +ROADWAYS R OW1 D - W EY2 Z +ROADWORK R OW1 D - W ER2 K +ROADY R OW1 - D IY0 +ROALD R OW1 L D +ROAM R OW1 M +ROAMED R OW1 M D +ROAMING R OW1 - M IH0 NG +ROAMS R OW1 M Z +ROAN R OW1 N +ROANE R OW1 N +ROANNA R OW1 - N AH0 +ROANOKE R OW1 - AH0 - N OW2 K +ROAR R AO1 R +ROARED R AO1 R D +ROARING R AO1 - R IH0 NG +ROARK R AO1 R K +ROARKE R AO1 R K +ROARS R AO1 R Z +ROARTY R AO1 R - T IY0 +ROAST R OW1 S T +ROASTED R OW1 - S T AH0 D +ROASTED(2) R OW1 - S T IH0 D +ROASTER R OW1 - S T ER0 +ROASTERS R OW1 - S T ER0 Z +ROASTING R OW1 - S T IH0 NG +ROASTS R OW1 S T S +ROAT R OW1 T +ROATH R OW1 TH +ROB R AA1 B +ROB'S R AA1 B Z +ROBACK R OW1 - B AE2 K +ROBAINA R OW0 - B EY1 - N AH0 +ROBAK R OW1 - B AH0 K +ROBAR R AH0 - B AA1 R +ROBARDS R AA1 - B ER0 D Z +ROBARE R OW0 - B AA1 - R EY0 +ROBARGE R AA1 - B AA0 R G +ROBART R AA1 - B AA2 R T +ROBARTS R AA1 - B AA2 R T S +ROBB R AA1 B +ROBB'S R AA1 B Z +ROBBE R AA1 B +ROBBED R AA1 B D +ROBBEN R AA1 - B AH0 N +ROBBER R AA1 - B ER0 +ROBBERIES R AA1 - B ER0 - IY0 Z +ROBBERS R AA1 - B ER0 Z +ROBBERSON R AA1 - B ER0 - S AH0 N +ROBBERY R AA1 - B ER0 - IY0 +ROBBIE R AA1 - B IY0 +ROBBIE'S R AA1 - B IY0 Z +ROBBIN R AA1 - B IH0 N +ROBBING R AA1 - B IH0 NG +ROBBINS R AA1 - B IH0 N Z +ROBBS R AA1 B Z +ROBBY R AA1 - B IY0 +ROBBY'S R AA1 - B IY0 Z +ROBE R OW1 B +ROBECK R OW1 - B EH2 K +ROBED R OW1 B D +ROBEL R OW1 - B AH0 L +ROBELLO R OW0 - B EH1 - L OW0 +ROBELO R AA2 - B EH1 - L OW0 +ROBER R OW1 - B ER0 +ROBERDS R AA1 - B ER0 D Z +ROBERG R OW1 - B ER0 G +ROBERGE R AA1 - B ER0 JH +ROBERS R OW1 - B ER0 Z +ROBERSON R AA1 - B ER0 - S AH0 N +ROBERT R AA1 - B ER0 T +ROBERT'S R AA1 - B ER0 T S +ROBERTA R AH0 - B ER1 - T AH0 +ROBERTI R AH0 - B ER1 - T IY0 +ROBERTO R AH0 - B EH1 R - T OW0 +ROBERTO(2) R OW0 - B EH1 R - T OW0 +ROBERTS R AA1 - B ER0 T S +ROBERTS' R AA1 - B ER0 T S +ROBERTS'S R AA1 - B ER0 T - S IH0 Z +ROBERTSHAW R AA1 - B ER1 T - SH AO1 +ROBERTSON R AA1 - B ER0 T - S AH0 N +ROBERTSON'S R AA1 - B ER0 T - S AH0 N Z +ROBES R OW1 B Z +ROBESON R OW1 - B IH0 - S AH0 N +ROBEY R OW1 - B IY0 +ROBIA R OW1 - B IY0 - AH0 +ROBICHAUD R AA1 - B IH0 - SH OW2 +ROBICHAUX R AA1 - B IH0 - SH OW2 +ROBICHEAUX R AA1 - B IH0 - SH OW2 +ROBIDEAU R AA1 - B IH0 - D OW2 +ROBIDOUX R AA1 - B IH0 - D UW0 +ROBIE R OW1 - B IY0 +ROBILLARD R AA1 - B IH0 - L ER0 D +ROBIN R AA1 - B AH0 N +ROBIN'S R AA1 - B AH0 N Z +ROBIN'S(2) R AA1 - B IH0 N Z +ROBIN(2) R AA1 - B IH0 N +ROBINA R AH0 - B IY1 - N AH0 +ROBINETT R AA1 - B IH0 - N EH0 T +ROBINETTE R AA1 - B IH0 - N EH2 T +ROBINHOOD R AA1 - B IH0 N - HH UH2 D +ROBINIA R OW0 - B IY1 - N IY0 - AH0 +ROBINS R AA1 - B AH0 N Z +ROBINS' R AA1 - B AH0 N Z +ROBINS'S R AA1 - B AH0 N - Z IH0 Z +ROBINSON R AA1 - B AH0 N - S AH0 N +ROBINSON'S R AA1 - B AH0 N - S AH0 N Z +ROBINSONS R AA1 - B AH0 N - S AH0 N Z +ROBINSONS' R AA1 - B AH0 N - S AH0 N Z +ROBISHAW R AA1 - B IH0 - SH AO2 +ROBISON R AA1 - B IH0 - S AH0 N +ROBITAILLE R AA1 - B IH0 - T EY2 L +ROBITUSSIN R AA2 - B IH0 - T AH1 - S IH0 N +ROBITUSSIN(2) R OW2 - B AH0 - T AH1 - S IH0 N +ROBL R AA1 - B AH0 L +ROBLE R OW1 - B AH0 L +ROBLEDO R OW0 - B L EY1 - D OW0 +ROBLEE R AA1 - B L IY2 +ROBLES R OW1 - B AH0 L Z +ROBLEY R AA1 - B L IY0 +ROBLIN R AA1 - B L IH0 N +ROBLING R OW1 - B AH0 L - IH0 NG +ROBLING(2) R OW1 - B L IH0 NG +ROBNETT R AA1 B - N IH0 T +ROBOCOP R OW1 - B OW0 - K AA2 P +ROBOT R OW1 - B AA2 T +ROBOT'S R OW1 - B AA2 T S +ROBOT'S(2) R OW1 - B AH2 T S +ROBOT(2) R OW1 - B AH2 T +ROBOTIC R OW2 - B AA1 - T IH0 K +ROBOTICS R OW2 - B AA1 - T IH0 K S +ROBOTS R OW1 - B AA2 T S +ROBOTS(2) R OW1 - B AH2 T S +ROBS R AA1 B Z +ROBSON R AA1 B - S AH0 N +ROBUCK R AA1 - B AH0 K +ROBUST R OW0 - B AH1 S T +ROBUSTA R AA2 - B AH1 - S T AH0 +ROBUSTAS R AA2 - B AH1 - S T AH0 S +ROBUSTELLI R OW2 - B AH0 - S T EH1 - L IY0 +ROBUSTELLI'S R OW2 - B AH0 - S T EH1 - L IY0 Z +ROBUSTLY R OW2 - B AH1 S T - L IY0 +ROBUSTNESS R OW0 - B AH1 S T - N AH0 S +ROBY R OW1 - B IY0 +ROBYN R AA1 - B IH0 N +ROC R AA1 K +ROCA R OW1 - K AH0 +ROCAP R OW1 - K AE2 P +ROCARD R OW1 - K ER0 D +ROCARD(2) R OW1 - K AA2 R D +ROCARD(3) R OW2 - SH AA1 R D +ROCARD(4) R AH0 - K AA1 R D +ROCCA R AA1 - K AH0 +ROCCAFORTE R OW0 - K AH0 - F AO1 R - T IY0 +ROCCAS R AA1 - K AH0 S +ROCCHI R OW1 - K IY0 +ROCCHIO R OW1 - K IY0 - OW0 +ROCCO R AA1 - K OW0 +ROCCO'S R AA1 - K OW0 Z +ROCH R AA1 K +ROCHA R OW1 - K AH0 +ROCHAT R AA1 - CH AH0 T +ROCHBERG R OW1 CH - B ER0 G +ROCHE R OW1 CH +ROCHE'S R OW1 - SH IH0 Z +ROCHE(2) R OW1 SH +ROCHEFORT R AA1 - K IH0 - F ER0 T +ROCHEFORT(2) R AA1 SH - F ER0 T +ROCHEFORT(3) R AA1 K - F ER0 T +ROCHELEAU R AA1 - SH IH0 - L OW0 +ROCHELLA R AH0 - CH EH1 - L AH0 +ROCHELLE R OW0 - SH EH1 L +ROCHELLE'S R OW0 - SH EH1 L Z +ROCHELLE'S(2) R AH2 - SH EH1 L Z +ROCHELLE(2) R AH2 - SH EH1 L +ROCHER R OW1 - CH ER0 +ROCHER(2) R OW1 - SH ER0 +ROCHESTER R AA1 - CH EH2 - S T ER0 +ROCHESTER'S R AA1 - CH EH2 - S T ER0 Z +ROCHETTE R AH0 - SH EH1 T +ROCHFORD R AA1 CH - F ER0 D +ROCHLIN R AA1 K - L IH0 N +ROCHON R AA1 - CH AH0 N +ROCK R AA1 K +ROCK'N'ROLL R AA1 - K AH0 N - R OW1 L +ROCK'S R AA1 K S +ROCK-AND-ROLL R AA1 - K AE1 N - D R OW1 L +ROCKABILLY R AA1 - K AH0 - B IH2 - L IY0 +ROCKAFELLOW R AA1 - K AH0 - F EH2 - L OW0 +ROCKAWAY R AA1 K - AH0 - W EY2 +ROCKE R AA1 K +ROCKED R AA1 K T +ROCKEFELLER R AA1 - K AH0 - F EH2 - L ER0 +ROCKEFELLER'S R AA1 - K AH0 - F EH2 - L ER0 Z +ROCKEFELLERS R AA1 - K AH0 - F EH2 - L ER0 Z +ROCKEL R AA1 - K AH0 L +ROCKENBACH R AA1 - K IH0 N - B AA0 K +ROCKER R AA1 - K ER0 +ROCKERS R AA1 - K ER0 Z +ROCKET R AA1 - K AH0 T +ROCKET'S R AA1 - K AH0 T S +ROCKETDYNE R AA1 - K IH0 T - D AY2 N +ROCKETED R AA1 - K AH0 - T IH0 D +ROCKETING R AA1 - K AH0 - T IH0 NG +ROCKETRY R AA1 - K AH0 - T R IY0 +ROCKETS R AA1 - K AH0 T S +ROCKETT R AA1 - K IH0 T +ROCKETTE R AA0 - K EH1 T +ROCKETTES R AA0 - K EH1 T S +ROCKEY R AA1 - K IY0 +ROCKFORD R AA1 K - F ER0 D +ROCKHILL R AA1 K - HH IH2 L +ROCKHOLD R AA1 K - HH OW2 L D +ROCKHOLT R AA1 K - HH OW2 L T +ROCKIES R AA1 - K IY0 Z +ROCKIN' R AA1 - K IH0 N +ROCKING R AA1 - K IH0 NG +ROCKINGHAM R AA1 - K IH0 NG - HH AE2 M +ROCKLAND R AA1 K - L AH0 N D +ROCKLEY R AA1 K - L IY0 +ROCKLIN R AA1 K - L IH0 N +ROCKMAN R AA1 K - M AH0 N +ROCKMORE R AA1 K - M AO0 R +ROCKNE R AA1 K - N IY0 +ROCKOFF R AA1 K - AO2 F +ROCKOW R AA1 - S K OW0 +ROCKPORT R AA1 K - P AO2 R T +ROCKRESORT R AA1 - K R IH0 - Z AO2 R T +ROCKRESORTS R AA1 - K R IH0 - Z AO2 R T S +ROCKROSE R AA1 - K R OW2 Z +ROCKS R AA1 K S +ROCKVILLE R AA1 K - V IH2 L +ROCKWELL R AA1 - K W EH2 L +ROCKWELL'S R AA1 - K W EH2 L Z +ROCKWOOD R AA1 K - W UH2 D +ROCKY R AA1 - K IY0 +ROCOCO R AH0 - K OW1 - K OW2 +ROCQUE R AA1 K +ROD R AA1 D +RODA R OW1 - D AH0 +RODABAUGH R AA1 - D AH0 - B AO0 +RODAK R OW1 - D AH0 K +RODALE R OW1 - D EY2 L +RODARTE R AA1 - D AA0 R T +RODAS R OW1 - D AH0 Z +RODD R AA1 D +RODDEN R AA1 - D AH0 N +RODDENBERRY R AA1 - D AH0 N - B EH0 - R IY0 +RODDEY R AA1 - D IY0 +RODDICK R AA1 - D IH2 K +RODDIE R AA1 - D IY0 +RODDING R AA1 - D IH0 NG +RODDY R AA1 - D IY0 +RODE R OW1 D +RODEBAUGH R AA1 - D IH0 - B AO0 +RODEFER R AA1 - D IH0 - F ER0 +RODEFFER R AA1 - D IH0 - F ER0 +RODEHEAVER R AA1 - D IH0 - HH IY0 - V ER0 +RODELA R OW0 - D EH1 - L AH0 +RODELL R AA1 - D AH0 L +RODEN R OW1 - D AH0 N +RODENBAUGH R AA1 - D IH0 N - B AW0 +RODENBECK R OW1 - D AH0 N - B EH0 K +RODENBERG R OW1 - D AH0 N - B ER0 G +RODENBERGER R OW1 - D AH0 N - B ER0 - G ER0 +RODENBURG R OW1 - D AH0 N - B ER0 G +RODENT R OW1 - D AH0 N T +RODENTS R OW1 - D AH0 N T S +RODEO R OW1 - D IY0 - OW2 +RODEOS R OW1 - D IY0 - OW2 Z +RODER R OW1 - D ER0 +RODERICA R OW0 - D ER0 - IY1 - K AH0 +RODERICK R AA1 - D R IH0 K +RODERICK'S R AA1 - D R IH0 K S +RODES R OW1 D Z +RODEWALD R AA1 - D UW0 - AO0 L D +RODEWAY R OW1 D - W EY2 +RODGE R AA1 JH +RODGER R AA1 - JH ER0 +RODGERS R AA1 - JH ER0 Z +RODGIN R AA1 - JH IH0 N +RODHAM R AO1 - D AH0 M +RODI R OW1 - D IY0 +RODICK R AA1 - D IH0 K +RODIER R OW1 - D IY0 - ER0 +RODIME R OW0 - D IY1 M +RODIN R OW1 - D IH0 N +RODIN(2) R OW2 - D AE1 N +RODINE R OW0 - D IY1 - N IY0 +RODINO R OW0 - D IY1 - N OW0 +RODKEY R AA1 D - K IY2 +RODMAN R AA1 D - M AH0 N +RODMAN'S R AA1 D - M AH0 N Z +RODMOND R AA1 D - M AH0 N D +RODMUND R AA1 D - M AH0 N D +RODNEY R AA1 D - N IY0 +RODOCKER R AA1 - D AH0 - K ER0 +RODOLF R AA1 - D OW0 L F +RODOLFO R OW0 - D AA1 L - F OW0 +RODOLPH R OW1 - D AA2 L F +RODRICK R AA1 - D R IH0 K +RODRIGEUZ R OW0 - D R IY1 - JH UW0 Z +RODRIGO R AH0 - D R IY1 - G OW0 +RODRIGUE R OW1 - D R IY0 G +RODRIGUES R AA0 - D R IY1 - G IH0 S +RODRIGUEZ R AA0 - D R IY1 - G EH0 Z +RODRIGUEZ'S R AA0 - D R IY1 - G EH0 - Z IH0 Z +RODRIQUES R AA0 - D R IY1 - G EH0 S +RODRIQUEZ R AA0 - D R IY1 - K EH0 Z +RODS R AA1 D Z +RODWELL R AA1 D - W EH2 L +RODY R OW1 - D IY0 +ROE R OW1 +ROEBER R OW1 - B ER0 +ROEBKE R OW1 B K +ROEBLING R OW1 - B L IH0 NG +ROEBUCK R OW1 - B AH2 K +ROEBUCK'S R OW1 - B AH2 K S +ROECKER R OW1 - K ER0 +ROED R OW1 D +ROEDEL R OW1 - D AH0 L +ROEDER R OW1 - D ER0 +ROEDERER R OW1 - D ER0 - ER0 +ROEDIGER R OW1 - D IH0 - G ER0 +ROEDL R OW1 - D AH0 L +ROEGNER R OW1 G - N ER0 +ROEHI R OW1 - IY0 +ROEHL R OW1 L +ROEHLING R OW1 - L IH0 NG +ROEHM R OW1 M +ROEHR R AO1 R +ROEHRICH R AO1 - R IH0 K +ROEHRIG R AO1 - R IH0 G +ROEHRS R AO1 R Z +ROELAND R OW1 - L AH0 N D +ROELKE R OW1 L K +ROELL R OW1 L +ROELLE R OW1 L +ROELLER R OW1 - L ER0 +ROELOFS R OW1 - L AH0 F S +ROEMER R OW1 - M ER0 +ROEMMICH R OW1 - M IH0 K +ROEN R OW1 N +ROEPER R OW1 - P ER0 +ROEPKE R OW1 P K +ROES R OW1 Z +ROESCH R OW1 SH +ROESE R OW1 S +ROESEL R OW1 - S AH0 L +ROESER R OW1 - Z ER0 +ROESKE R OW1 S K +ROESLER R OW1 - S AH0 - L ER0 +ROESLER(2) R OW1 S - L ER0 +ROESNER R OW1 S - N ER0 +ROESSLER R OW1 - S AH0 - L ER0 +ROESSLER(2) R OW1 S - L ER0 +ROESSNER R OW1 S - N ER0 +ROETHER R OW1 - DH ER0 +ROETHLER R OW1 - TH AH0 - L ER0 +ROETHLER(2) R OW1 TH - L ER0 +ROETTGER R OW1 T - G ER0 +ROEVER R AA1 - EH0 - V ER0 +ROFF R AO1 F +ROFFE R AA1 F +ROFFMAN R AO1 F - M AH0 N +ROFIN R OW1 - F IH0 N +ROG R AA1 G +ROGACHEV R OW1 - G AH0 - CH AH0 V +ROGACKI R AH0 - G AA1 T S - K IY0 +ROGAINE R OW0 - G EY1 N +ROGAL R OW1 - G AH0 L +ROGALA R OW0 - G AA1 - L AH0 +ROGALLA R OW0 - G AA1 - L AH0 +ROGALSKI R AH0 - G AA1 L S - K IY0 +ROGAN R OW1 - G AH0 N +ROGEL R OW1 - G AH0 L +ROGELIO R OW0 - G IY1 - L IY0 - OW0 +ROGER R AA1 - JH ER0 +ROGER'S R AA1 - JH ER0 Z +ROGERNOMICS R OW2 - G ER0 - N AA1 - M IH0 K S +ROGERS R AA1 - JH ER0 Z +ROGERS' R AA1 - JH ER0 Z +ROGERS'S R AA1 - JH ER0 - Z IH0 Z +ROGERSON R AA1 - G ER0 - S AH0 N +ROGGE R AA1 G +ROGGENBUCK R AA1 - G IH0 N - B AH0 K +ROGGENKAMP R AA1 - G IH0 N - K AE0 M P +ROGGIO R AA1 - Z IY0 - OW0 +ROGGOW R AA1 - G OW0 +ROGIER R OW1 - G IY0 - ER0 +ROGIN R OW1 - G IH0 N +ROGINSKI R AH0 - G IH1 N - S K IY0 +ROGNESS R AA1 G - N IH0 S +ROGOFF R AA1 - G AO0 F +ROGOWSKI R AH0 - G AO1 F S - K IY0 +ROGOZINSKI R AH0 - G AH0 - Z IH1 N - S K IY0 +ROGSTAD R AA1 G - S T AH0 D +ROGUE R OW1 G +ROGUES R OW1 G Z +ROGUS R OW1 - G AH0 S +ROH R OW1 +ROH'S R OW1 Z +ROHAN R OW1 - AH0 N +ROHANA R AH0 - HH AE1 - N AH0 +ROHATYN R AA1 - HH AH0 - T IH0 N +ROHATYN'S R AA1 - HH AH0 - T IH0 N Z +ROHATYN'S(2) R OW0 - HH AE1 - T AH0 N Z +ROHATYN(2) R OW0 - HH AE1 - T AH0 N +ROHDE R OW1 D +ROHDE(2) R OW1 - D AH0 +ROHE R OW1 +ROHER R OW1 - ER0 +ROHL R OW1 L +ROHLAND R OW1 - L AH0 N D +ROHLEDER R OW1 - L IH0 - D ER0 +ROHLF R OW1 L F +ROHLFING R OW1 L - F IH0 NG +ROHLFS R OW1 L F S +ROHLICEK R AA1 - L AH0 - CH EH0 K +ROHLING R OW1 - L IH0 NG +ROHLMAN R OW1 L - M AH0 N +ROHLOFF R OW1 - L AO0 F +ROHM R OW1 M +ROHMAN R OW1 - M AH0 N +ROHMER R OW1 - M ER0 +ROHN R AA1 N +ROHNER R OW1 - N ER0 +ROHR R AO1 R +ROHRBACH R AO1 R - B AA0 K +ROHRBACHER R AO1 R - B AA0 - K ER0 +ROHRBACK R AO1 R - B AE0 K +ROHRBAUGH R AO1 R - B AW0 +ROHRBOUGH R AO1 R - B AW0 +ROHRER R AO1 - R ER0 +ROHRICH R AO1 - R IH0 K +ROHRIG R AO1 - R IH0 G +ROHRMAN R AO1 R - M AH0 N +ROHRS R AO1 R Z +ROHS R OW1 Z +ROHSTOFF R OW1 S T - AO0 F +ROHWEDDER R OW1 - W IH0 - D ER0 +ROHWEDER R OW1 - W IH0 - D ER0 +ROHWER R OW1 - W ER0 +ROHYPNOL R OW2 - HH AY1 P - N AO2 L +ROI R OY1 +ROIG R OY1 G +ROIL R OY1 L +ROILED R OY1 L D +ROILING R OY1 - L IH0 NG +ROISTER R OY1 - S T ER0 +ROISTER'S R OY1 - S T ER0 Z +ROJAS R OW1 - HH AA0 S +ROJEK R OW1 - Y EH0 K +ROJO R OW1 - JH OW0 +ROKA R OW1 - K AH0 +ROKAHR R OW1 - K AA2 R +ROKAR R OW1 - K AA2 R +ROKICKI R AH0 - K IH1 - K IY0 +ROKOS R OW1 - K OW0 Z +ROKOSZ R AA1 - K AH0 SH +ROL R OW1 L +ROLAN R OW1 - L AH0 N +ROLAND R OW1 - L AH0 N D +ROLANDA R OW0 - L AA1 N - D AH0 +ROLANDO R OW0 - L AA1 N - D OW0 +ROLDAN R OW1 L - D AH0 N +ROLE R OW1 L +ROLEMODEL R OW1 L - M AA2 - D AH0 L +ROLEMODELS R OW1 L - M AA2 - D AH0 L Z +ROLEN R OW1 - L AH0 N +ROLEPLAYING R OW1 L - P L EY2 - IH0 NG +ROLES R OW1 L Z +ROLETTE R OW0 - L EH1 T +ROLEX R OW1 - L EH0 K S +ROLEY R OW1 - L IY0 +ROLF R OW1 L F +ROLFE R OW1 L F +ROLFES R OW1 L F S +ROLFS R OW1 L F S +ROLFSON R OW1 L F - S AH0 N +ROLIN R OW1 - L IH0 N +ROLING R OW1 - L IH0 NG +ROLISON R AA1 - L IH0 - S AH0 N +ROLL R OW1 L +ROLL'S R OW1 L Z +ROLLA R AA1 - L AH0 +ROLLAND R AA1 - L AH0 N D +ROLLAND'S R OW1 - L AH0 N D Z +ROLLBACK R OW1 L - B AE2 K +ROLLBACKS R OW1 L - B AE2 K S +ROLLE R OW1 L +ROLLED R OW1 L D +ROLLEN R AO1 - L AH0 N +ROLLER R OW1 - L ER0 +ROLLERBLADE R OW1 - L ER0 - B L EY2 D +ROLLERBLADES R OW1 - L ER0 - B L EY2 D Z +ROLLERBLADING R OW1 - L ER0 - B L EY2 - D IH0 NG +ROLLERCOASTER R OW1 - L ER0 - K OW2 - S T ER0 +ROLLERS R OW1 - L ER0 Z +ROLLET R OW0 - L EH1 T +ROLLEY R AA1 - L IY0 +ROLLI R AA1 - L IY0 +ROLLICKING R AA1 - L IH0 - K IH0 NG +ROLLIE R OW1 - L IY0 +ROLLIE(2) R AO1 - L IY0 +ROLLIN R AA1 - L IH0 N +ROLLIN' R OW1 - L IH0 N +ROLLING R OW1 - L IH0 NG +ROLLINGER R OW1 - L IH0 - NG ER0 +ROLLINGS R OW1 - L IH0 NG Z +ROLLINS R AA1 - L IH0 N Z +ROLLINS' R AA1 - L IH0 N Z +ROLLINS'S R AA1 - L IH0 N - Z IH0 Z +ROLLINSON R AA1 - L IH0 N - S AH0 N +ROLLISON R AA1 - L IH0 - S AH0 N +ROLLMAN R OW1 L - M AH0 N +ROLLO R AA1 - L OW0 +ROLLOUT R OW1 L - AW2 T +ROLLOVER R OW1 - L OW2 - V ER0 +ROLLOVERS R OW1 L - OW2 - V ER0 Z +ROLLS R OW1 L Z +ROLLS'S R OW1 L - Z IH0 Z +ROLLTOP R OW1 L - T AA2 P +ROLLWAGEN R OW1 L - W AE2 - G AH0 N +ROLLY R OW1 - L IY0 +ROLLYSON R AA1 - L IH0 - S AH0 N +ROLM R OW1 M +ROLNICK R OW1 L - N IH0 K +ROLODEX R OW1 - L AH0 - D EH2 K S +ROLOFF R AA1 - L AO0 F +ROLON R OW1 - L AH0 N +ROLPH R OW1 L F +ROLSTON R OW1 L - S T AH0 N +ROLT R OW1 L T +ROM R AA1 M +ROM'S R AA1 M Z +ROMA R OW1 - M AH0 +ROMACK R AA1 - M AH0 K +ROMAGNOLI R OW0 - M AA0 G - N OW1 - L IY0 +ROMAGNOLO R OW2 - M AA0 - N Y OW1 - L OW0 +ROMAIN R OW0 - M EY1 N +ROMAINE R OW0 - M EY1 N +ROMAN R OW1 - M AH0 N +ROMAN'S R OW1 - M AH0 N Z +ROMANCE R OW0 - M AE1 N S +ROMANCE(2) R OW1 - M AE0 N S +ROMANCES R OW0 - M AE1 N - S IH0 Z +ROMANCING R OW0 - M AE1 N - S IH0 NG +ROMANEK R AA1 - M AH0 - N IH0 K +ROMANELLI R OW0 - M AA0 - N EH1 - L IY0 +ROMANELLO R OW0 - M AA0 - N EH1 - L OW0 +ROMANESQUE R OW2 - M AH0 - N EH1 S K +ROMANI R OW0 - M AA1 - N IY0 +ROMANIA R OW0 - M EY1 - N IY0 - AH0 +ROMANIA'S R OW0 - M EY1 - N IY0 - AH0 Z +ROMANIAN R OW0 - M EY1 - N IY0 - AH0 N +ROMANIANS R OW0 - M EY1 - N IY0 - AH0 N Z +ROMANIELLO R OW0 - M AA0 - N IY0 - EH1 - L OW0 +ROMANIK R AH0 - M AE1 - N IH0 K +ROMANN R OW1 - M AH0 N +ROMANO R OW0 - M AA1 - N OW2 +ROMANO'S R OW0 - M AA1 - N OW2 Z +ROMANOFF R OW1 - M AH0 - N AO2 F +ROMANONE R OW0 - M AA0 - N OW1 N +ROMANONES R OW0 - M AA0 - N OW1 N Z +ROMANOSKI R AH0 - M AH0 - N AW1 S - K IY0 +ROMANOV R OW1 - M AH0 - N AO2 V +ROMANOV(2) R OW1 - M AH0 - N AO2 F +ROMANOW R AH0 - M AE1 - N OW0 +ROMANOWSKI R AH0 - M AH0 - N AO1 F S - K IY0 +ROMANS R OW1 - M AH0 N Z +ROMANSKI R AH0 - M AE1 N - S K IY0 +ROMANTIC R OW0 - M AE1 N - T IH0 K +ROMANTICALLY R OW0 - M AE1 N - T IH0 - K AH0 - L IY0 +ROMANTICALLY(2) R OW0 - M AE1 N - T IH0 K - L IY0 +ROMANTICISM R OW0 - M AE1 N - T AH0 - S IH2 - Z AH0 M +ROMANTICIZE R OW0 - M AE1 N - T AH0 - S AY2 Z +ROMANTICIZED R OW0 - M AE1 N - T AH0 - S AY2 Z D +ROMANTICIZING R OW0 - M AE1 N - T AH0 - S AY2 - Z IH0 NG +ROMANTICS R OW0 - M AE1 N - T IH0 K S +ROMANY R AA1 - M AH0 - N IY0 +ROMANY(2) R OW1 - M AH0 - N IY0 +ROMAS R OW1 - M AH0 Z +ROMBACH R AA1 M - B AA2 K +ROMBERG R AA1 M - B ER0 G +ROMBERGER R AA1 M - B ER0 - G ER0 +ROME R OW1 M +ROME'S R OW1 M Z +ROMELLA R OW0 - M EH1 - L AH0 +ROMELLE R AH0 - M EH1 L +ROMEO R OW1 - M IY0 - OW2 +ROMER R OW1 - M ER0 +ROMERO R OW0 - M EH1 - R OW0 +ROMESBURG R OW1 M Z - B ER0 G +ROMEY R OW1 - M IY0 +ROMICK R AA1 - M IH0 K +ROMIG R OW1 - M IH0 G +ROMILDA R AH0 - M IY1 L - D AH0 +ROMINA R AH0 - M IY1 - N AH0 +ROMINE R AH0 - M IY1 - N IY0 +ROMINE(2) R AA1 - M IH0 N +ROMINES R AA1 - M IH0 N Z +ROMINES(2) R AH0 - M IY1 - N IY0 Z +ROMINGER R OW1 - M IH0 - NG ER0 +ROMITO R OW0 - M IY1 - T OW0 +ROMLEY R AA1 M - L IY0 +ROMM R AA1 M +ROMMEL R AA1 - M AH0 L +ROMNEY R AA1 M - N IY0 +ROMNEY'S R AA1 M - N IY0 Z +ROMO R OW1 - M OW0 +ROMOLA R AA1 - M AH0 - L AH0 +ROMP R AA1 M P +ROMPING R AA1 M - P IH0 NG +ROMS R AA1 M Z +ROMULUS R AA1 - M Y AH0 - L AH0 S +RON R AA1 N +RON'S R AA1 N Z +RONA R OW1 - N AH0 +RONALD R AA1 - N AH0 L D +RONALDA R OW0 - N AA1 L - D AH0 +RONAN R OW1 - N AH0 N +RONAN'S R OW1 - N AH0 N Z +RONAYNE R AA1 - N EY2 N +RONCA R OW1 N - K AH0 +RONCO R OW1 N - K OW0 +RONDA R AA1 N - D AH0 +RONDEAU R AA0 N - D OW1 +RONDINELLI R OW0 N - D IY0 - N EH1 - L IY0 +RONDON R AA1 N - D AH0 N +RONDONIA R AA0 N - D OW1 - N IY0 - AH0 +RONE R OW1 N +RONEN R OW1 - N AH0 N +RONEY R OW1 - N IY0 +RONG R AO1 NG +RONGJI R AO1 NG - JH IY0 +RONI R OW1 - N IY0 +RONIN R OW1 - N IH0 N +RONK R AA1 NG K +RONKO R AA1 NG - K OW0 +RONNA R AA1 - N AH0 +RONNE R AA1 N +RONNIE R AA1 - N IY0 +RONNING R AA1 - N IH0 NG +RONNY R AA1 - N IY0 +RONQUILLO R OW0 N - K W IH1 - L OW0 +RONSON R AA1 N - S AH0 N +RONSTADT R AA1 N - S T AE2 T +ROOD R UW1 D +ROODE R UW1 D +ROOF R UW1 F +ROOFED R UW1 F T +ROOFER R UW1 - F ER0 +ROOFERS R UW1 - F ER0 Z +ROOFING R UW1 - F IH0 NG +ROOFS R UW1 F S +ROOFTOP R UW1 F - T AA2 P +ROOFTOPS R UW1 F - T AA2 P S +ROOFTREE R UW1 F - T R IY2 +ROOK R UH1 K +ROOKARD R UH1 - K ER0 D +ROOKE R UH1 K +ROOKER R UH1 - K ER0 +ROOKIE R UH1 - K IY0 +ROOKIES R UH1 - K IY0 Z +ROOKS R UH1 K S +ROOKSTOOL R UH1 K - S T UW2 L +ROOM R UW1 M +ROOM'S R UW1 M Z +ROOME R UW1 M +ROOMFUL R UW1 M - F UH2 L +ROOMIER R UW1 - M IY0 - ER0 +ROOMINESS R UW1 - M IY0 - N AH0 S +ROOMING R UW1 - M IH0 NG +ROOMMATE R UW1 M - EY2 T +ROOMMATES R UW1 M - EY2 T S +ROOMS R UW1 M Z +ROOMY R UW1 - M IY0 +ROONE R UW1 N +ROONEY R UW1 - N IY0 +ROONEY'S R UW1 - N IY0 Z +ROOP R UW1 P +ROOPE R UW1 P +ROORDA R UH1 R - D AH0 +ROOS R UW1 Z +ROOSA R UW1 - S AH0 +ROOSE R UW1 Z +ROOSEVELT R OW1 - Z AH0 - V EH2 L T +ROOSEVELT'S R OW1 - Z AH0 - V EH2 L T S +ROOSEVELT'S(2) R UW1 - Z AH0 - V EH2 L T S +ROOSEVELT(2) R UW1 - Z AH0 - V EH2 L T +ROOSEVELTS R OW1 - Z AH0 - V EH2 L T S +ROOSEVELTS(2) R UW1 - Z AH0 - V EH2 L T S +ROOST R UW1 S T +ROOSTED R UW1 - S T IH0 D +ROOSTER R UW1 - S T ER0 +ROOSTERS R UW1 - S T ER0 Z +ROOT R UW1 T +ROOTED R UW1 - T AH0 D +ROOTED(2) R UW1 - T IH0 D +ROOTER R UW1 - T ER0 +ROOTERS R UW1 - T ER0 Z +ROOTING R UW1 - T IH0 NG +ROOTLESS R UW1 T - L AH0 S +ROOTS R UW1 T S +ROOTSTEIN R UW1 T - S T AY2 N +ROPAK R OW1 - P AE0 K +ROPE R OW1 P +ROPED R OW1 P T +ROPER R OW1 - P ER0 +ROPER'S R OW1 - P ER0 Z +ROPERS R OW1 - P ER0 Z +ROPES R OW1 P S +ROPING R OW1 - P IH0 NG +ROPP R AA1 P +ROPPOLO R OW0 - P OW1 - L OW0 +ROPS R AA1 P S +ROQUE R OW1 K +ROQUEMORE R OW0 K - M AO1 R +RORABAUGH R AO1 - R AH0 - B AO0 +RORER R AO1 - R ER0 +RORER'S R AO1 - R ER0 Z +ROREX R AO1 - R EH0 K S +RORICK R AO1 - R IH0 K +RORIE R AO1 - R IY0 +RORK R AO1 R K +RORKE R AO1 R K +RORRER R AO1 - ER0 R +RORSCHACH R AO1 R - SH AA2 +RORSCHACH(2) R AO1 R - SH AA2 CH +RORY R AO1 - R IY0 +ROS R AO1 S +ROSA R OW1 - Z AH0 +ROSA'S R OW1 - Z AH0 Z +ROSABEL R OW1 - Z AH0 - B EH2 L +ROSABELLE R AA1 - S AH0 - B AH0 L +ROSADO R AH0 - S AA1 - D OW0 +ROSALEE R OW2 - S AH0 - L IY1 +ROSALEE(2) R OW2 - Z AH0 - L IY1 +ROSALES R OW1 - S EY0 L Z +ROSALEZ R OW0 - S AA1 - L EH0 Z +ROSALIA R OW0 - Z AH0 - L IY1 - AH0 +ROSALIE R OW1 - Z AH0 - L IY0 +ROSALIND R AA1 - Z AH0 - L IH0 N D +ROSALINDA R OW0 - S AA0 - L IY1 N - D AH0 +ROSALYN R AA1 - Z AH0 - L IH0 N +ROSALYN'S R AA1 - Z AH0 - L IH0 N Z +ROSALYND R AA1 - Z AH0 - L IH0 N D +ROSALYNN R OW1 - Z AH0 - L IH2 N +ROSAMILIA R OW0 - Z AA0 - M IY1 - L IY0 - AH0 +ROSAMOND R OW1 - Z AH0 - M AH0 N D +ROSAMUND R OW0 - Z AH0 - M UH1 N D +ROSAN R OW1 - Z AH0 N +ROSANDER R OW0 - Z AE1 N - D ER0 +ROSANNA R OW0 - Z AE1 - N AH0 +ROSANNE R OW0 - Z AE1 N +ROSANO R OW0 - Z AA1 - N OW0 +ROSARIA R OW0 - Z AA1 - R IY0 - AH0 +ROSARIA'S R OW0 - Z AA1 - R IY0 - AH0 Z +ROSARIES R OW1 - Z ER0 - IY0 Z +ROSARIO R OW0 - Z AA1 - R IY0 - OW0 +ROSARY R OW1 - Z ER0 - IY0 +ROSAS R OW1 - Z AH0 Z +ROSASCO R OW0 - Z AA1 - S K OW0 +ROSATI R OW0 - Z AA1 - T IY0 +ROSATO R OW0 - Z AA1 - T OW0 +ROSBERG R AA1 S - B ER0 G +ROSBOROUGH R AA1 S - B ER0 - OW0 +ROSCH R AO1 SH +ROSCHER R AO1 - SH ER0 +ROSCOE R AA1 - S K OW0 +ROSE R OW1 Z +ROSE'S R OW1 - Z IH0 Z +ROSEANNE R OW2 - Z AE1 N +ROSEANNE'S R OW2 - Z AE1 N Z +ROSEBERRY R OW1 Z - B EH2 - R IY0 +ROSEBOOM R OW1 Z - B UW2 M +ROSEBORO R OW0 Z - B ER1 - OW0 +ROSEBOROUGH R OW1 Z - B ER2 - OW0 +ROSEBROCK R OW1 Z - B R AH0 K +ROSEBROOK R OW1 Z - B R UH2 K +ROSEBROUGH R OW1 Z - B R AW0 +ROSEBUD R OW1 Z - B AH0 D +ROSEBUSH R OW1 Z - B UH2 SH +ROSECRANS R OW1 Z - K R AE2 N Z +ROSEKRANS R OW1 Z - K R AH0 N Z +ROSEL R OW1 - Z AH0 L +ROSELAND R OW1 Z - L AH0 N D +ROSELAWN R OW1 Z - L AO2 N +ROSELAWN'S R OW1 Z - L AO2 N Z +ROSELINE R OW1 Z - L AY2 N +ROSELL R OW1 - Z AH0 L +ROSELLA R OW0 - Z EH1 - L AH0 +ROSELLEN R OW1 - Z AH0 - L AH0 N +ROSELLI R OW0 - S EH1 - L IY0 +ROSELLO R OW0 - S EH1 - L OW0 +ROSEMAN R OW1 Z - M AH0 N +ROSEMARIE R OW2 Z - M ER0 - IY1 +ROSEMARY R OW1 Z - M EH2 - R IY0 +ROSEMEAD R OW1 Z - M IY2 D +ROSEMEYER R OW1 Z - M AY0 - ER0 +ROSEMOND R OW1 Z - M AH0 N D +ROSEMONT R OW1 Z - M AA2 N T +ROSEN R OW1 - Z AH0 N +ROSEN'S R OW1 - Z AH0 N Z +ROSENAU R OW1 Z - N AW0 +ROSENBACH R OW1 - Z AH0 N - B AA2 K +ROSENBALM R OW1 - Z AH0 N - B AA2 M +ROSENBAUM R OW1 - Z AH0 N - B AW2 M +ROSENBECK R OW1 - Z AH0 N - B EH2 K +ROSENBERG R OW1 - Z AH0 N - B ER0 G +ROSENBERG'S R OW1 - Z AH0 N - B ER0 G Z +ROSENBERGER R OW1 - Z AH0 N - B ER0 - G ER0 +ROSENBERGS R OW1 - Z AH0 N - B ER0 G Z +ROSENBERRY R OW1 - Z AH0 N - B EH2 - R IY0 +ROSENBLATT R OW1 - Z AH0 N - B L AE2 T +ROSENBLOOM R OW1 - Z AH0 N - B L UW2 M +ROSENBLUM R OW1 - Z AH0 N - B L UW2 M +ROSENBLUTH R OW1 - Z AH0 N - B L UW0 TH +ROSENBOOM R OW1 - Z AH0 N - B UW2 M +ROSENBURG R OW1 - Z AH0 N - B ER0 G +ROSENCRANS R OW1 - Z AH0 N - K R AE0 N Z +ROSENDAHL R OW1 - Z AH0 N - D AA2 L +ROSENDALE R OW1 - Z AH0 N - D EY2 L +ROSENE R AA1 - S IY0 N +ROSENER R OW1 - Z AH0 N - ER0 +ROSENFELD R OW1 - Z AH0 N - F EH2 L D +ROSENFIELD R OW1 - Z AH0 N - F IY2 L D +ROSENGARTEN R OW1 - Z AH0 N - G AA2 R - T AH0 N +ROSENGRANT R OW1 - Z AH0 N - G R AE2 N T +ROSENGREN R OW1 - Z AH0 N - G R EH0 N +ROSENHAUS R OW1 - Z AH0 N - HH AW2 S +ROSENKRANS R OW1 - Z AH0 N - K R AE2 N Z +ROSENKRANTZ R OW1 - Z AH0 N - K R AE2 N T S +ROSENKRANZ R OW1 - Z AH0 N - K R AE2 N T S +ROSENLUND R OW1 - Z AH0 N - L AH0 N D +ROSENMAN R OW1 - Z AH0 N - M AH0 N +ROSENOW R OW1 - Z AH0 - N AW0 +ROSENQUIST R OW1 - Z AH0 N - K W IH0 S T +ROSENSHINE R OW1 - Z AH0 N - SH AY2 N +ROSENSTEEL R OW1 - Z AH0 N - S T IY2 L +ROSENSTEIN R OW1 - Z AH0 N - S T AY2 N +ROSENSTEIN(2) R OW1 - Z AH0 N - S T IY2 N +ROSENSTOCK R OW1 - Z AH0 N - S T AA2 K +ROSENSWEIG R OW1 - Z AH0 N - S W AY0 G +ROSENTHAL R OW1 - Z AH0 N - TH AO2 L +ROSENTRETER R OW1 - Z AH0 N - T R EH2 - T ER0 +ROSENWALD R OW1 - Z AH0 N - W AO2 L D +ROSENWASSER R OW1 - Z AH0 N - W AO0 - S ER0 +ROSENZWEIG R OW1 - Z AH0 N Z - W AY0 G +ROSER R OW1 - Z ER0 +ROSES R OW1 - Z IH0 Z +ROSETE R AA1 - S IY0 T +ROSETT R OW1 - Z AH0 T +ROSETTA R OW0 - Z EH1 - T AH0 +ROSETTE R AH0 - S EH1 T +ROSETTES R OW1 - Z EH1 T S +ROSETTI R OW0 - S EH1 - T IY0 +ROSEVEAR R OW0 Z - V IH1 R +ROSEVILLE R OW1 Z - V IH2 L +ROSEWICZ R OW1 Z - W IH2 T S +ROSEWOOD R OW1 Z - W UH2 D +ROSEWOOD'S R OW1 Z - W UH2 D Z +ROSEY R OW1 - Z IY0 +ROSH R AO1 SH +ROSHIER R OW1 - SH Y ER0 +ROSIAK R AA1 - S IY0 - AE0 K +ROSIE R OW1 - Z IY0 +ROSIE'S R OW1 - Z IY0 Z +ROSIER R OW1 - Z IY0 - ER0 +ROSIN R AA1 - Z AH0 N +ROSINA R OW0 - Z IY1 - N AH0 +ROSINE R OW0 - S IY1 - N IY0 +ROSING R OW1 - Z IH0 NG +ROSINSKI R AH0 - S IH1 N - S K IY0 +ROSINSKY R AH0 - S IH1 N - S K IY0 +ROSITA R OW0 - Z IY1 - T AH0 +ROSKAM R AA1 S - K AH0 M +ROSKE R OW1 S K +ROSKO R OW1 - S K OW0 +ROSKOS R OW1 - S K OW0 Z +ROSLIN R AA1 S - L IH0 N +ROSLUND R AO1 Z - L AH0 N D +ROSLYN R AA1 Z - L IH0 N +ROSMAN R AA1 S - M AH0 N +ROSMUNDA R OW0 S - M UW1 N - D AH0 +ROSNEFT R AA1 Z - N IH0 F T +ROSNER R AA1 S - N ER0 +ROSOFF R AA1 - S AO0 F +ROSOL R OW1 - S AO0 L +ROSPATCH R AO1 S - P AE0 CH +ROSS R AA1 S +ROSS' R AA1 S +ROSS'S R AA1 - S IH0 Z +ROSS(2) R AO1 S +ROSSA R OW1 - S AH0 +ROSSANO R OW0 - S AA1 - N OW0 +ROSSBACH R AA1 S - B AA0 K +ROSSBOROUGH R AO1 S - B ER0 - OW0 +ROSSE R AA1 S +ROSSELIN R AA1 - S IH0 - L IH0 N +ROSSELL R AA1 - S AH0 L +ROSSELLI R OW0 - S EH1 - L IY0 +ROSSELOT R AA1 - S IH0 - L AH0 T +ROSSEN R AO1 - S AH0 N +ROSSER R AO1 - S ER0 +ROSSETTI R OW0 - S EH1 - T IY0 +ROSSETTO R OW0 - S EH1 - T OW0 +ROSSI R AO1 - S IY0 +ROSSIE R AO1 - S IY0 +ROSSIGNOL R AA1 - S IH0 G - N AO0 L +ROSSIN R AA1 - S IH0 N +ROSSING R AO1 - S IH0 NG +ROSSINI R OW0 - S IY1 - N IY0 +ROSSITER R AO1 - S IH0 - T ER0 +ROSSIYA R AO1 - S IY0 - AH0 +ROSSLER R AA1 - S AH0 - L ER0 +ROSSLER(2) R AA1 S - L ER0 +ROSSLYN R AA1 S - L IH0 N +ROSSMAN R AO1 S - M AH0 N +ROSSMANN R AO1 S - M AH0 N +ROSSMILLER R AA1 S - M IH0 - L ER0 +ROSSMORE R AA1 S - M AO2 R +ROSSNER R AA1 S - N ER0 +ROSSO R OW1 - S OW0 +ROSSON R AA1 - S AH0 N +ROSSOW R AA1 - S OW0 +ROST R AA1 S T +ROSTAD R AA1 - S T AH0 D +ROSTEN R AA1 - S AH0 N +ROSTENKOWSKI R AO2 - S T EH0 NG - K AW1 S - K IY0 +ROSTENKOWSKI'S R AO2 - S T EH0 NG - K AW1 S - K IY0 Z +ROSTER R AA1 - S T ER0 +ROSTERS R AA1 - S T ER0 Z +ROSTON R AA1 - S T AH0 N +ROSTOV R AA1 - S T AA0 V +ROSTRON R AA1 S - T R AH0 N +ROSTROPOVICH R AO2 - S T R AH0 - P OW1 - V IH0 CH +ROSTROPOVICH(2) R AH0 - S T R AA1 - P AH0 - V IH0 CH +ROSTRUM R AA1 S - T R AH0 M +ROSTUCA R AO2 - S T UW1 - K AH0 +ROSTY R AO1 - S T IY0 +ROSWALD R AA1 - S W AH0 L D +ROSWELL R AA1 S - W EH0 L +ROSY R OW1 - Z IY0 +ROSZAK R AA1 - SH AH0 K +ROSZELL R AA1 - SH AH0 L +ROSZKOWSKI R AH0 SH - K AO1 F S - K IY0 +ROT R AA1 T +ROTA R OW1 - T AH0 +ROTAN R OW1 - T AH0 N +ROTARY R OW1 - T ER0 - IY0 +ROTATE R OW1 - T EY2 T +ROTATED R OW1 - T EY2 - T IH0 D +ROTATES R OW1 - T EY2 T S +ROTATING R OW1 - T EY2 - T IH0 NG +ROTATION R OW0 - T EY1 - SH AH0 N +ROTATIONAL R OW0 - T EY1 - SH AH0 - N AH0 L +ROTATIONS R OW0 - T EY1 - SH AH0 N Z +ROTBERG R AA1 T - B ER0 G +ROTBLAT R AA1 T - B L AE0 T +ROTE R OW1 T +ROTELLA R OW0 - T EH1 - L AH0 +ROTEN R OW1 - T AH0 N +ROTENBERG R OW1 - T AH0 N - B ER0 G +ROTENBERRY R OW1 - T AH0 N - B EH2 - R IY0 +ROTERT R AA1 - T ER0 T +ROTH R AO1 TH +ROTH'S R AA1 TH S +ROTHACKER R AO1 - TH AH0 - K ER0 +ROTHBARD R AO1 TH - B ER0 D +ROTHBART R AO1 TH - B AA2 R T +ROTHBAUER R AO1 TH - B AW0 - ER0 +ROTHBERG R AO1 TH - B ER0 G +ROTHCHILD R AO1 TH - CH AY2 L D +ROTHE R OW1 DH +ROTHENBERG R AO1 - TH AH0 N - B ER0 G +ROTHENBERGER R AO1 - TH AH0 N - B ER0 - G ER0 +ROTHER R AO1 - TH ER0 +ROTHERMEL R AA1 - TH ER0 - M AH0 L +ROTHERT R AA1 - TH ER0 T +ROTHERY R AA1 - TH ER0 - IY0 +ROTHFUSS R AO1 TH - F AH0 S +ROTHGEB R AO1 TH - G IH0 B +ROTHKOPF R AO1 TH - K AO0 P F +ROTHKOPF(2) R AO1 TH - K AO0 F +ROTHLISBERGER R AO1 TH - L IH0 S - B ER0 - G ER0 +ROTHMAN R AO1 TH - M AH0 N +ROTHMANS R AO1 TH - M AH0 N Z +ROTHMANS'S R AO1 TH - M AH0 N - Z IH0 Z +ROTHMEIER R AO1 TH - M AY2 R +ROTHROCK R AO1 - TH R AH0 K +ROTHS R AO1 TH S +ROTHSCHILD R AO1 TH S - CH AY2 L D +ROTHSCHILD'S R AO1 TH - CH AY2 L D Z +ROTHSCHILDS R AO1 TH - CH AY2 L D Z +ROTHSTEIN R AO1 TH - S T AY0 N +ROTHSTEIN(2) R AO1 TH - S T IY0 N +ROTHWAX R AO1 TH - W AE2 K S +ROTHWEILER R AO1 TH - W AY2 - L ER0 +ROTHWELL R AO1 TH - W EH2 L +ROTHWELLS R AO1 TH - W EH2 L Z +ROTI R OW1 - T IY0 +ROTISSERIE R OW2 - T IH1 - S ER0 - IY0 +ROTMAN R AA1 T - M AH0 N +ROTO R OW1 - T OW0 +ROTOLO R OW0 - T OW1 - L OW0 +ROTONDI R OW0 - T OW1 N - D IY0 +ROTONDO R OW0 - T OW1 N - D OW0 +ROTOR R OW1 - T ER0 +ROTORS R OW1 - T ER0 Z +ROTOTILL R OW1 - T AH0 - T IH2 L +ROTOTILL(2) R OW1 - T OW0 - T IH2 L +ROTOTILLED R OW1 - T AH0 - T IH2 L D +ROTOTILLED(2) R OW1 - T OW0 - T IH2 L D +ROTOTILLER R OW1 - T AH0 - T IH2 - L ER0 +ROTOTILLER(2) R OW1 - T OW0 - T IH2 - L ER0 +ROTOTILLES R OW1 - T AH0 - T IH2 L Z +ROTOTILLES(2) R OW1 - T OW0 - T IH2 L Z +ROTOTILLING R OW1 - T AH0 - T IH2 - L IH0 NG +ROTOTILLING(2) R OW1 - T OW0 - T IH2 - L IH0 NG +ROTRAMEL R AA1 - T R AH0 - M AH0 L +ROTRUCK R AA1 - T R AH0 K +ROTS R AA1 T S +ROTT R AA1 T +ROTTED R AA1 - T IH0 D +ROTTEN R AA1 - T AH0 N +ROTTENBERG R AA1 - T AH0 N - B ER0 G +ROTTER R AA1 - T ER0 +ROTTERDAM R AA1 - T ER0 - D AE2 M +ROTTING R AA1 - T IH0 NG +ROTTINGHAUS R AA1 - T IH0 NG - HH AW2 S +ROTTLER R AA1 T - L ER0 +ROTTMAN R AA1 T - M AH0 N +ROTTMANN R AA1 T - M AH0 N +ROTUND R OW0 - T AH1 N D +ROTUNDA R OW0 - T AH1 N - D AH0 +ROTUNDO R OW0 - T UW1 N - D OW0 +ROTUNNO R OW0 - T UW1 - N OW0 +ROTZ R AA1 T S +ROUBAL R UW0 - B AE1 L +ROUBLE R UW1 - B AH0 L +ROUCH R AW1 CH +ROUDABUSH R AW1 - D AH0 - B UH0 SH +ROUDEBUSH R AW1 - D IH0 - B UH0 SH +ROUGE R UW1 ZH +ROUGEAU R UW0 - ZH OW1 +ROUGH R AH1 F +ROUGH'S R AH1 F S +ROUGHED R AH1 F T +ROUGHER R AH1 - F ER0 +ROUGHEST R AH1 - F AH0 S T +ROUGHING R AH1 - F IH0 NG +ROUGHLY R AH1 F - L IY0 +ROUGHNECK R AH1 F - N EH2 K +ROUGHNECKS R AH1 F - N EH2 K S +ROUGHNESS R AH1 F - N AH0 S +ROUGHSHOD R AH1 F - SH AA1 D +ROUGHT R AO1 T +ROUGHTON R AH1 F - T AH0 N +ROUILLARD R W IY0 - L AA1 R D +ROUKEMA R UW1 K - M AA0 +ROUKOS R UW1 - K OW0 S +ROULAC R UW1 - L AE0 K +ROULEAU R UW0 - L OW1 +ROULETTE R UW0 - L EH1 T +ROULETTE'S R UW0 - L EH1 T S +ROULETTES R UW0 - L EH1 T S +ROULHAC R UW1 L - HH AH0 K +ROULSTON R AW1 L - S T AH0 N +ROUND R AW1 N D +ROUND'S R AW1 N D Z +ROUNDABOUT R AW1 N D - AH0 - B AW2 T +ROUNDED R AW1 N - D AH0 D +ROUNDED(2) R AW1 N - D IH0 D +ROUNDER R AW1 N - D ER0 +ROUNDHEAD R AW1 N D - HH EH2 D +ROUNDHOUSE R AW1 N D - HH AW2 S +ROUNDING R AW1 N - D IH0 NG +ROUNDLY R AW1 N D - L IY0 +ROUNDS R AW1 N D Z +ROUNDS(2) R AW1 N Z +ROUNDTABLE R AW1 N D - T EY2 - B AH0 L +ROUNDTREE R AW1 N D - T R IY2 +ROUNDTRIP R AW2 N D - T R IH1 P +ROUNDUP R AW1 N D - AH2 P +ROUNDWORM R AW1 N D - W ER0 M +ROUNDWORMS R AW1 N D - W ER0 M Z +ROUNDY R AW1 N - D IY0 +ROUNSAVILLE R UW1 N - S AH0 - V IH0 L +ROUNTREE R AW0 N - T R IY1 +ROUPE R UW1 P +ROURK R AO1 R K +ROURKE R AO1 R K +ROUSE R AW1 S +ROUSE'S R AW1 - Z IH0 Z +ROUSE(2) R AW1 Z +ROUSED R AW1 Z D +ROUSER R AW1 - Z ER0 +ROUSEY R AW1 - S IY0 +ROUSH R AW1 SH +ROUSING R AW1 - Z IH0 NG +ROUSSE R AW1 S +ROUSSEAU R UW0 - S OW1 +ROUSSEL R UW0 - S EH1 L +ROUSSELET R UW1 - S AH0 - L EH0 T +ROUSSELL R UW0 - S EH1 L +ROUSSELLE R UW2 - S EH1 L +ROUSSIN R UW0 - S AE1 N +ROUSSOS R UW0 - S OW1 Z +ROUT R AW1 T +ROUTE R UW1 T +ROUTE(2) R AW1 T +ROUTED R UW1 - T AH0 D +ROUTED(2) R UW1 - T IH0 D +ROUTERS R UW1 - T ER0 Z +ROUTERS(2) R AW1 - T ER0 Z +ROUTES R UW1 T S +ROUTES(2) R AW1 T S +ROUTES(3) R UH1 T S +ROUTH R AW1 TH +ROUTHIER R AW1 - TH IY0 - ER0 +ROUTINE R UW0 - T IY1 N +ROUTINELY R UW0 - T IY1 N - L IY0 +ROUTINES R UW0 - T IY1 N Z +ROUTING R AW1 - T IH0 NG +ROUTING(2) R UW1 - T IH0 NG +ROUTLEDGE R AW1 T - L IH0 JH +ROUTON R AW1 - T AH0 N +ROUTSON R AW1 T - S AH0 N +ROUTT R AW1 T +ROUTZAHN R AW1 T - Z AH0 N +ROUX R UW1 +ROUYN R UW1 - IH0 N +ROUZER R AW1 - Z ER0 +ROVANIEMI R OW0 - V AE2 - N IY0 - EH1 - M IY0 +ROVE R OW1 V +ROVEN R OW1 - V AH0 N +ROVER R OW1 - V ER0 +ROVER'S R OW1 - V ER0 Z +ROVERS R OW1 - V ER0 Z +ROVING R OW1 - V IH0 NG +ROVIRA R OW0 - V IH1 - R AH0 +ROVITO R OW0 - V IY1 - T OW0 +ROVNER R AA1 V - N ER0 +ROW R OW1 +ROW'S R OW1 Z +ROWAN R OW1 - AH0 N +ROWAN'S R OW1 - AH0 N Z +ROWAND R OW1 - AH0 N D +ROWBOAT R OW1 - B OW2 T +ROWBOTHAM R OW1 - B AH0 - TH AE0 M +ROWDEN R OW1 - D AH0 N +ROWDIES R AW1 - D IY0 Z +ROWDINESS R AW1 - D IY0 - N AH0 S +ROWDY R AW1 - D IY0 +ROWE R OW1 +ROWE'S R OW1 Z +ROWED R OW1 D +ROWELL R OW1 - IH0 L +ROWEN R OW1 - AH0 N +ROWENA R OW0 - IY1 - N AH0 +ROWENTA R OW2 - EH1 N - T AH0 +ROWER R OW1 - ER0 +ROWES R OW1 Z +ROWIN R OW1 - IH0 N +ROWING R OW1 - IH0 NG +ROWINSKI R OW0 - IH1 N - S K IY0 +ROWLAND R OW1 - L AH0 N D +ROWLAND'S R OW1 - L AH0 N D Z +ROWLANDS R OW1 - L AH0 N D Z +ROWLES R OW1 L Z +ROWLETT R OW1 - L IH0 T +ROWLETTE R OW2 - L EH1 T +ROWLEY R OW1 - L IY0 +ROWLIE R OW1 - L IY0 +ROWLY R OW1 - L IY0 +ROWNEY R OW1 - N IY0 +ROWNTREE R OW1 N - T R IY2 +ROWNTREE'S R OW1 N - T R IY2 Z +ROWNY R OW1 - N IY0 +ROWS R OW1 Z +ROWSE R OW1 S +ROWSER R OW1 - Z ER0 +ROWSEY R OW1 - S IY0 +ROWSON R OW1 - S AH0 N +ROWTON R OW1 - T AH0 N +ROX R AA1 K S +ROX'S R AA1 K - S IH0 S +ROXANA R AA0 K - S AE1 - N AH0 +ROXANI R AA0 K - S AA1 - N IY0 +ROXANNA R AA2 K - S AE1 - N AH0 +ROXANNE R AA1 K - S IH0 N +ROXANNE(2) R AA2 K - S AE1 N +ROXBOROUGH R AA1 K S - B AH0 - R OW0 +ROXBURY R AA1 K S - B EH2 - R IY0 +ROXIE R AA1 K - S IY0 +ROXINE R AA1 K - S AY0 N +ROXY R AA1 K - S IY0 +ROY R OY1 +ROY'S R OY1 Z +ROYAL R OY1 - AH0 L +ROYAL'S R OY1 - AH0 L Z +ROYALE R OY0 - AE1 L +ROYALIST R OY1 - AH0 - L IH0 S T +ROYALL R OY1 - AH0 L +ROYALLY R OY1 - AH0 - L IY0 +ROYALS R OY1 - AH0 L Z +ROYALS' R OY1 - AH0 L Z +ROYALTIES R OY1 - AH0 L - T IY0 Z +ROYALTY R OY1 - AH0 L - T IY0 +ROYBAL R OY1 - B AH0 L +ROYCE R OY1 S +ROYCE'S R OY1 - S IH0 Z +ROYCES R OY1 - S IH0 Z +ROYCROFT R OY1 - K R AH0 F T +ROYD R OY1 D +ROYDEN R OY1 - D AH0 N +ROYDON R OY1 - D AH0 N +ROYE R OY1 +ROYER R OY1 - ER0 +ROYEX R OY1 - EH0 K S +ROYEX'S R OY1 - EH0 K - S IH0 Z +ROYKO R OY1 - K OW0 +ROYLANCE R OY1 - L AH0 N S +ROYLE R OY1 L +ROYS R OY1 Z +ROYSE R OY1 S +ROYSTER R OY1 - S T ER0 +ROYSTER'S R OY1 - S T ER0 Z +ROYSTON R OY1 - S T AH0 N +ROZ R AA1 Z +ROZA R OW1 - Z AH0 +ROZAK R OW1 - Z AH0 K +ROZANSKI R AH0 - Z AE1 N S - K IY0 +ROZAR R OW1 - Z ER0 +ROZAS R OW1 - Z AA0 Z +ROZEBOOM R AA1 - Z IH0 - B UW2 M +ROZEK R OW1 - Z EH0 K +ROZELL R AA1 - Z AH0 L +ROZELLA R OW0 - Z EH1 - L AH0 +ROZELLE R AH0 - Z EH1 L +ROZEMA R AH0 - Z IY1 - M AH0 +ROZEN R AA1 - Z AH0 N +ROZIER R OW1 - Z IY0 - ER0 +ROZMAN R AA1 Z - M AH0 N +ROZNOWSKI R AH0 Z - N AO1 F S - K IY0 +ROZSA R OW1 Z - S AH0 +ROZYCKI R AH0 - Z IH1 T S - K IY0 +ROZZELL R AA1 - Z AH0 L +ROZZI R AA1 - Z IY0 +RPF AA1 R - P IY1 - EH1 F +RPM AA1 R - P IY1 - EH1 M +RRROT AA1 - R AA1 - R AA1 - R OW1 - T IY1 +RRROT(2) AA1 - R OW1 - T IY1 +RRROT(3) R R AA1 T +RU R UW1 +RU(2) AA1 - R Y UW1 +RUA R UW1 - AH0 +RUAM R UW1 - AH0 M +RUANE R UW0 - EY1 N +RUANO R UW0 - AA1 - N OW0 +RUARK R UW1 - AA0 R K +RUB R AH1 B +RUBACK R UW1 - B AE2 K +RUBALCABA R UW0 - B AA0 L - K AA1 - B AH0 +RUBALCAVA R UW0 - B AA0 L - K AA1 - V AH0 +RUBANO R UW0 - B AA1 - N OW0 +RUBBED R AH1 B D +RUBBER R AH1 - B ER0 +RUBBERIZE R AH1 - B ER0 - AY2 Z +RUBBERIZED R AH1 - B ER0 - AY2 Z D +RUBBERMAID R AH1 - B ER0 - M EY2 D +RUBBERMAID'S R AH1 - B ER0 - M EY2 D Z +RUBBERS R AH1 - B ER0 Z +RUBBERY R AH1 - B ER0 - IY0 +RUBBIA R AH1 - B IY0 - AH0 +RUBBING R AH1 - B IH0 NG +RUBBISH R AH1 - B IH0 SH +RUBBLE R AH1 - B AH0 L +RUBBO R UW1 - B OW0 +RUBE R UW1 B +RUBECK R UW1 - B EH2 K +RUBEL R UW1 - B AH0 L +RUBELL R UW1 - B AH0 L +RUBELLA R UW0 - B EH1 - L AH0 +RUBEN R UW1 - B AH0 N +RUBENDALL R AH1 - B IH0 N - D AH0 L +RUBENFELD R AH1 - B IH0 N - F EH0 L D +RUBENS R UW1 - B AH0 N Z +RUBENSTEIN R UW1 - B AH0 N - S T AY0 N +RUBENSTEIN(2) R UW1 - B AH0 N - S T IY0 N +RUBERG R UW1 - B ER0 G +RUBERT R UW1 - B ER0 T +RUBERTO R UW0 - B EH1 R - T OW0 +RUBEY R UW1 - B IY0 +RUBI R UW1 - B IY0 +RUBIA R UW1 - B IY0 - AH0 +RUBICAM R UW1 - B IH0 - K AH0 M +RUBICAM'S R UW1 - B IH0 - K AH0 M Z +RUBICON R UW1 - B IH0 - K AO0 N +RUBIE R UW1 - B IY0 +RUBIES R UW1 - B IY0 Z +RUBIK R UW1 - B IH0 K +RUBIK'S R UW1 - B IH0 K S +RUBIN R UW1 - B IH0 N +RUBIN'S R UW1 - B IH0 N Z +RUBINA R UW0 - B IY1 - N AH0 +RUBINO R UW0 - B IY1 - N OW0 +RUBINSON R AH1 - B IH0 N - S AH0 N +RUBINSTEIN R UW1 - B IH0 N - S T IY2 N +RUBINSTEIN(2) R UW1 - B IH0 N - S T AY2 N +RUBIO R UW1 - B IY0 - OW0 +RUBIOS R UW1 - B IY0 - OW0 Z +RUBIS R UW1 - B IH0 S +RUBLE R UW1 - B AH0 L +RUBLE'S R UW1 - B AH0 L Z +RUBLES R UW1 - B AH0 L Z +RUBLEY R AH1 - B L IY0 +RUBLOFF R AH1 - B L AO0 F +RUBOTTOM R AH1 - B AH0 - T AA0 M +RUBOUT R AH1 - B AW2 T +RUBRIC R UW1 - B R IH0 K +RUBRIGHT R AH1 - B R AY2 T +RUBS R AH1 B Z +RUBY R UW1 - B IY0 +RUBY'S R UW1 - B IY0 Z +RUCCI R UW1 - CH IY0 +RUCH R AH1 CH +RUCHLAMER R UW1 - K L AH0 - M ER0 +RUCHTI R UW1 K - T IY0 +RUCINSKI R AH0 - CH IH1 N - S K IY0 +RUCK R AH1 K +RUCKEL R AH1 - K AH0 L +RUCKELSHAUS R AH1 - K AH0 L Z - HH AW2 S +RUCKER R AH1 - K ER0 +RUCKERT R AH1 - K ER0 T +RUCKI R AH1 - K IY0 +RUCKLE R AH1 - K AH0 L +RUCKMAN R AH1 K - M AH0 N +RUCKS R AH1 K S +RUCKUS R AH1 - K AH0 S +RUD R AH1 D +RUDA R UW1 - D AH0 +RUDANI R UW0 - D AA1 - N IY0 +RUDASILL R AH1 - D AH0 - S IH0 L +RUDD R AH1 D +RUDDELL R AH1 - D AH0 L +RUDDEN R AH1 - D AH0 N +RUDDER R AH1 - D ER0 +RUDDERLESS R AH1 - D ER0 - L AH0 S +RUDDICK R AH1 - D IH0 K +RUDDLE R AH1 - D AH0 L +RUDDOCK R AH1 - D AH0 K +RUDDY R AH1 - D IY0 +RUDE R UW1 D +RUDEEN R AH1 - D IY0 N +RUDEL R UW1 - D AH0 L +RUDELL R AH1 - D AH0 L +RUDELLE R AH0 - D EH1 L +RUDELY R UW1 D - L IY0 +RUDEN R UW1 - D AH0 N +RUDENESS R UW1 D - N AH0 S +RUDENSTEIN R UW1 - D IH0 N - S T IY0 N +RUDENSTEIN(2) R UW1 - D IH0 N - S T AY0 N +RUDENSTINE R UW1 - D AH0 N Z - T AY2 N +RUDER R UW1 - D ER0 +RUDER'S R UW1 - D ER0 Z +RUDERMAN R UW1 - D ER0 - M AH0 N +RUDESILL R AH1 - D IH0 - S AH0 L +RUDEST R UW1 - D AH0 S T +RUDGE R AH1 JH +RUDI R UW1 - D IY0 +RUDI'S R UW1 - D IY0 Z +RUDICH R AH1 - D IH0 K +RUDICH(2) R UW1 - D IH0 K +RUDICKER R AH1 - D IH0 - K ER0 +RUDIE R UW1 - D IY0 +RUDIGER R AH1 - D IH0 - G ER0 +RUDIMENT R UW1 - D IH0 - M AH0 N T +RUDIMENTARY R UW2 - D AH0 - M EH1 N - T ER0 - IY0 +RUDIMENTS R UW1 - D IH0 - M AH0 N T S +RUDIN R UW1 - D IH0 N +RUDING R UW1 - D IH0 NG +RUDIS R UW1 - D IY0 Z +RUDISILL R AH1 - D IH0 - S IH0 L +RUDKIN R AH1 D - K IH0 N +RUDLOFF R AH1 D - L AO0 F +RUDMAN R AH1 D - M AH0 N +RUDMAN'S R AH1 D - M AH0 N Z +RUDNER R AH1 D - N ER0 +RUDNET R AH1 D - N EH2 T +RUDNICK R AH1 D - N IH0 K +RUDNICKI R AH0 D - N IH1 - K IY0 +RUDNICKY R AH0 D - N IH1 - K IY0 +RUDNIK R AH1 D - N IH0 K +RUDOLF R UW1 - D AA2 L F +RUDOLF(2) R UW1 - D AA2 F +RUDOLPH R UW1 - D AO0 L F +RUDOLPH(2) R UW1 - D AO0 F +RUDOW R UW1 - D OW0 +RUDY R UW1 - D IY0 +RUDY'S R UW1 - D IY0 Z +RUDYARD R AH1 - D Y ER0 D +RUDZINSKI R AH0 - JH IH1 N - S K IY0 +RUE R UW1 +RUEB R UW1 B +RUEBEL R UW1 - B AH0 L +RUECKERT R UW1 - K ER0 T +RUEDA R UW0 - EH1 - D AH0 +RUEDIGER R UW1 - D IH0 - G ER0 +RUEDLINGER R UW1 D - L IH0 - NG ER0 +RUEDY R UW1 - D IY0 +RUEF R UW1 F +RUEFF R UW1 F +RUEFUL R UW1 - F AH0 L +RUEFULLY R UW1 - F AH0 - L IY0 +RUEGER R UH1 - G ER0 +RUEGG R UW1 G +RUEGSEGGER R UH1 G - S IH0 - G ER0 +RUEHL R UH1 L +RUEHLE R UW1 - HH AH0 L +RUEL R UW1 L +RUELAS R UW1 - L AH0 Z +RUELLA R UW2 - EH1 - L AH0 +RUELLE R UW2 - EH1 L +RUESCH R UW1 SH +RUESS R UW1 S +RUEST R UW1 S T +RUETER R UW1 - T ER0 +RUETH R UW1 TH +RUETHER R UW1 - TH ER0 +RUETZ R UW1 T S +RUF R AH1 F +RUFE R UW1 F +RUFENACHT R UW1 - F AH0 - N AA0 K T +RUFENER R AH1 - F IY0 - N ER0 +RUFER R UW1 - F ER0 +RUFF R AH1 F +RUFFALO R UW0 - F AA1 - L OW0 +RUFFCORN R AH1 F - K ER0 N +RUFFER R AH1 - F ER0 +RUFFIN R AH1 - F IH0 N +RUFFING R AH1 - F IH0 NG +RUFFINI R UW0 - F IY1 - N IY0 +RUFFINO R UW0 - F IY1 - N OW0 +RUFFLE R AH1 - F AH0 L +RUFFLED R AH1 - F AH0 L D +RUFFLES R AH1 - F AH0 L Z +RUFFLING R AH1 - F AH0 L - IH0 NG +RUFFLING(2) R AH1 - F L IH0 NG +RUFFNER R AH1 F - N ER0 +RUFFO R AH1 - F OW0 +RUFFOLO R UW0 - F OW1 - L OW0 +RUFFORD R AH1 - F ER0 D +RUFINA R UW0 - F IY1 - N AH0 +RUFO R UW1 - F OW0 +RUFORD R UW1 - F ER0 D +RUFOW R UW1 - F OW0 +RUFTY R AH1 F - T IY0 +RUFUS R UW1 - F AH0 S +RUG R AH1 G +RUGBY R AH1 G - B IY0 +RUGE R UW1 JH +RUGEN R AH1 - G AH0 N +RUGER R UW1 - G ER0 +RUGERONI R UW2 - JH EH0 - R OW1 - N IY0 +RUGG R AH1 G +RUGGED R AH1 - G AH0 D +RUGGEDLY R AH1 - G AH0 D - L IY0 +RUGGERI R UW0 - JH EH1 - R IY0 +RUGGERIO R UW0 - JH EH1 - R IY0 - OW0 +RUGGIERI R UW0 - JH IH1 - R IY0 +RUGGIERO R UW0 - JH IH1 - R OW0 +RUGGIRELLO R UW0 - JH IH0 - R EH1 - L OW0 +RUGGLES R AH1 - G AH0 L Z +RUGH R AH1 +RUGS R AH1 G Z +RUH R AH1 +RUHE R UW1 HH +RUHL R AH1 L +RUHLAND R AH1 - L AH0 N D +RUHLE R UW1 - AH0 L +RUHLMAN R UW1 L - M AH0 N +RUHNAU R UW1 - N AW0 +RUHNKE R AH1 NG K +RUHOLLAH R UW0 - HH AA1 - L AH0 +RUHR R UH1 R +RUHRGAS R UH1 R - G AH0 S +RUHUL R UW2 - HH UW1 L +RUIN R UW1 - AH0 N +RUIN(2) R UW1 - IH0 N +RUINED R UW1 - AH0 N D +RUINED(2) R UW1 - IH0 N D +RUINING R UW1 - IH0 - N IH0 NG +RUINOUS R UW1 - AH0 - N AH0 S +RUINS R UW1 - AH0 N Z +RUINS(2) R UW1 - IH0 N Z +RUIS R UW1 - IH0 Z +RUITER R UW1 - T ER0 +RUIZ R UW0 - W IY1 Z +RUJITH R UW2 - JH IY1 TH +RUKAVINA R AH0 - K AH0 - V AY1 - N AH0 +RUKEYSER R UW2 - K EY1 - Z ER0 +RULA R UW1 - L AH0 +RULAND R UW1 - L AH0 N D +RULE R UW1 L +RULE'S R UW1 L Z +RULEBOOK R UW1 L - B UH2 K +RULED R UW1 L D +RULEMAKING R UW1 L - M EY2 - K IH0 NG +RULER R UW1 - L ER0 +RULERS R UW1 - L ER0 Z +RULES R UW1 L Z +RULEY R UW1 - L IY0 +RULING R UW1 - L IH0 NG +RULING'S R UW1 - L IH0 NG Z +RULINGS R UW1 - L IH0 NG Z +RULISON R AH1 - L IH0 - S AH0 N +RULLI R UW1 - L IY0 +RULLMAN R AH1 L - M AH0 N +RULLO R UW1 - L OW0 +RULON R UW1 - L AH0 N +RUM R AH1 M +RUMACK R UW1 - M AE0 K +RUMAGE R AH1 - M IH0 JH +RUMAN R UW1 - M AH0 N +RUMANIA R UW0 - M EY1 - N IY0 - AH0 +RUMANIAN R UW0 M - EY1 - N IY0 - AH0 N +RUMANIAN(2) R UW0 M - EY1 - N Y AH0 N +RUMBAUGH R AH1 M - B AO2 +RUMBERGER R AH1 M - B ER0 - G ER0 +RUMBLE R AH1 M - B AH0 L +RUMBLED R AH1 M - B AH0 L D +RUMBLES R AH1 M - B AH0 L Z +RUMBLEY R AH1 M - B L IY0 +RUMBLING R AH1 M - B AH0 L - IH0 NG +RUMBLING'S R AH1 M - B AH0 - L IH0 NG Z +RUMBLING'S(2) R AH1 M - B L IH0 NG Z +RUMBLING(2) R AH1 M - B L IH0 NG +RUMBLINGS R AH1 M - B AH0 - L IH0 NG Z +RUMBLINGS(2) R AH1 M - B L IH0 NG Z +RUMBOLD R AH1 M - B OW2 L D +RUMEN R UW1 - M AH0 N +RUMER R UW1 - M ER0 +RUMERY R AH1 - M ER0 - IY0 +RUMFELT R AH1 M - F EH2 L T +RUMFORD R AH1 M - F ER0 D +RUMINA R UW1 - M IH0 - N AH0 +RUMINANT R UW1 - M AH0 - N AH0 N T +RUMINATE R UW1 - M IH0 - N EY2 T +RUMINATED R UW1 - M IH0 - N EY2 - T IH0 D +RUMINATION R UW2 - M IH0 - N EY1 - SH AH0 N +RUMINATIONS R UW2 - M IH0 - N EY1 - SH AH0 N Z +RUMINSKI R AH0 - M IH1 N - S K IY0 +RUMLER R AH1 M - L ER0 +RUMLEY R AH1 M - L IY0 +RUMMAGE R AH1 - M IH0 JH +RUMMAGING R AH1 - M IH0 - JH IH0 NG +RUMMEL R AH1 - M AH0 L +RUMMELL R AH1 - M AH0 L +RUMMY R AH1 - M IY0 +RUMNEY R AH1 M - N IY0 +RUMOR R UW1 - M ER0 +RUMORE R UW0 - M AO1 R +RUMORED R UW1 - M ER0 D +RUMORS R UW1 - M ER0 Z +RUMOUR R UW2 - M ER0 +RUMOURS R UW2 - M ER0 Z +RUMP R AH1 M P +RUMPEL R AH1 M - P AH0 L +RUMPF R AH1 M P F +RUMPH R AH1 M F +RUMPLE R AH1 M - P AH0 L +RUMPLED R AH1 M - P AH0 L D +RUMRILL R AH1 - M R IH0 L +RUMS R AH1 M Z +RUMSEY R AH1 M - Z IY0 +RUMSFELD R AH1 M Z - F EH2 L D +RUMSON R AH1 M - S AH0 N +RUN R AH1 N +RUN'S R AH1 N Z +RUN-DOWN R AH1 N - D AW1 N +RUN-ON R AH1 - N AA1 N +RUN-ONS R AH1 - N AA1 N Z +RUNABOUT R AH1 N - AH0 - B AW2 T +RUNAROUND R AH1 - N AH0 - R AW2 N D +RUNAROUND(2) R AH1 - N AH0 - R AW2 N +RUNAWAY R AH1 N - AH0 - W EY2 +RUNAWAYS R AH1 N - AH0 - W EY2 Z +RUNCIE R AH1 N - S IY0 +RUNCK R AH1 NG K +RUNCKEL R AH1 NG - K AH0 L +RUNCO R AH1 NG - K OW0 +RUND R AH1 N D +RUNDALL R AH1 N - D AH0 L +RUNDE R AH1 N D +RUNDELL R AH1 N - D AH0 L +RUNDLE R AH1 N - D AH0 L +RUNDOWN R AH1 N - D AW2 N +RUNDQUIST R AH1 N D - K W IH2 S T +RUNG R AH1 NG +RUNGE R AH1 N JH +RUNGS R AH1 NG Z +RUNION R UW1 - N Y AH0 N +RUNIONS R UW1 - N Y AH0 N Z +RUNK R AH1 NG K +RUNKEL R AH1 NG - K AH0 L +RUNKLE R AH1 NG - K AH0 L +RUNKLES R AH1 NG - K AH0 L Z +RUNKO R AH1 N - K OW0 +RUNNELLS R AH1 - N AH0 L Z +RUNNELS R AH1 - N AH0 L Z +RUNNER R AH1 - N ER0 +RUNNER'S R AH1 - N ER0 Z +RUNNERS R AH1 - N ER0 Z +RUNNIN' R AH1 - N IH0 N +RUNNING R AH1 - N IH0 NG +RUNNINGS R AH1 - N IH0 NG Z +RUNNION R AH1 - N Y AH0 N +RUNNY R AH1 - N IY0 +RUNOFF R AH1 - N AO2 F +RUNQUIST R AH1 N - K W IH2 S T +RUNS R AH1 N Z +RUNTE R AH1 N T +RUNUP R AH1 - N AH2 P +RUNUPS R AH1 - N AH2 P S +RUNWAY R AH1 N - W EY2 +RUNWAYS R AH1 N - W EY2 Z +RUNYAN R AH1 - N Y AH0 N +RUNYON R AH1 - N Y AH0 N +RUNZHEIMER R AH1 N Z - HH AY2 - M ER0 +RUOCCO R UW0 - OW1 - K OW0 +RUOFF R UW1 - AO0 F +RUOTOLO R UW0 - OW0 - T OW1 - L OW0 +RUPARD R UW1 - P ER0 D +RUPAUL R UW0 - P AA1 L +RUPE R UW1 P +RUPEE R UW0 - P IY1 +RUPEES R UW0 - P IY1 Z +RUPEES(2) R UW1 - P IY0 Z +RUPERT R UW1 - P ER0 T +RUPERTA R UW0 - P EH1 R - T AH0 +RUPHY R UW1 - F IY0 +RUPIAH R UW0 - P AY1 - AH0 +RUPLE R UW1 - P AH0 L +RUPLEY R AH1 P - L IY0 +RUPNOW R AH1 P - N OW0 +RUPP R AH1 P +RUPPE R AH1 P +RUPPEL R AH1 - P AH0 L +RUPPENTHAL R AH1 - P IH0 N - TH AH0 L +RUPPERT R AH1 - P ER0 T +RUPPRECHT R UW1 - P R EH2 K T +RUPRECHT R AH1 - P R IH0 K T +RUPTURE R AH1 P - CH ER0 +RUPTURED R AH1 P - CH ER0 D +RUPTURES R AH1 P - CH ER0 Z +RUPTURING R AH1 P - CH ER0 - IH0 NG +RURAL R UH1 - R AH0 L +RURIK R UH1 - R IH0 K +RURITANIA R UH2 - R AH0 - T EY1 - N IY0 - AH0 +RUS R AH1 S +RUSALKA R UW2 - S AE1 L - K AH0 +RUSCH R AH1 SH +RUSCHE R AH1 SH +RUSCITTI R UW0 S - CH IY1 - T IY0 +RUSCONI R UW0 - S K OW1 - N IY0 +RUSE R UW1 Z +RUSED R UW1 Z D +RUSELER R UW1 - S IH0 - L ER0 +RUSES R UW1 - Z IH0 Z +RUSH R AH1 SH +RUSH'S R AH1 - SH IH0 Z +RUSHDIE R AH1 SH - D IY0 +RUSHDIE'S R AH1 SH - D IY0 Z +RUSHED R AH1 SH T +RUSHER R AH1 - SH ER0 +RUSHES R AH1 - SH AH0 Z +RUSHES(2) R AH1 - SH IH0 Z +RUSHFORD R AH1 SH - F ER0 D +RUSHIN R AH1 - SH IH0 N +RUSHING R AH1 - SH IH0 NG +RUSHLOW R AH1 SH - L OW2 +RUSHMORE R AH1 SH - M AO0 R +RUSHTON R AH1 SH - T AH0 N +RUSIN R UW1 - S IH0 N +RUSINKO R UW2 - S IH1 NG - K OW0 +RUSK R AH1 S K +RUSK'S R AH1 S K S +RUSKIN R AH1 - S K IH0 N +RUSLAN R AH1 S - L AH0 N +RUSNAK R AH1 S - N AH0 K +RUSNOCK R AH1 S - N AH0 K +RUSS R AH1 S +RUSSA R UW1 - S AH0 +RUSSAK R AH1 - S AH0 K +RUSSE R AH1 S +RUSSEL R AH1 - S AH0 L +RUSSEL'S R AH1 - S AH0 L Z +RUSSELL R AH1 - S AH0 L +RUSSELL'S R AH1 - S AH0 L Z +RUSSELLVILLE R AH1 - S AH0 L - V IH2 L +RUSSERT R AH1 - S ER0 T +RUSSET R AH1 - S IH0 T +RUSSETS R AH1 - S IH0 T S +RUSSETT R AH1 - S IH0 T +RUSSEY R AH1 - S IY0 +RUSSI R UW1 - S IY0 +RUSSIA R AH1 - SH AH0 +RUSSIA'S R AH1 - SH AH0 Z +RUSSIAN R AH1 - SH AH0 N +RUSSIAN'S R AH1 - SH AH0 N Z +RUSSIANS R AH1 - SH AH0 N Z +RUSSIANS' R AH1 - SH AH0 N Z +RUSSIFICATION R AH2 - S AH0 - F AH0 - K EY1 - SH AH0 N +RUSSIFICATION(2) R UW2 - S AH0 - F AH0 - K EY1 - SH AH0 N +RUSSIFIED R AH1 - S AH0 - F AY0 D +RUSSIN R AH1 - S IH0 N +RUSSLER R AH1 S - L ER0 +RUSSMAN R AH1 S - M AH0 N +RUSSO R UW1 - S OW0 +RUSSOLILLO R UW2 - S OW0 - L IH1 - L OW0 +RUSSOLILLO(2) R UW2 - S OW0 - L IY1 - OW0 +RUSSOM R AH1 - S AH0 M +RUSSOMANNO R AH1 - S AH0 - M IH0 - N OW0 +RUSSOW R AH1 - S OW0 +RUSSUM R AH1 - S AH0 M +RUST R AH1 S T +RUST'S R AH1 S T S +RUSTAD R AH1 - S T AH0 D +RUSTED R AH1 - S T AH0 D +RUSTED(2) R AH1 - S T IH0 D +RUSTIC R AH1 - S T IH0 K +RUSTIGAN R AH1 - S T IH0 - G AH0 N +RUSTIN R AH1 - S T IH0 N +RUSTING R AH1 - S T IH0 NG +RUSTLE R AH1 - S AH0 L +RUSTLER R AH1 S - L ER0 +RUSTLERS R AH1 - S AH0 - L ER0 Z +RUSTLERS(2) R AH1 S - L ER0 Z +RUSTLING R AH1 - S L IH0 NG +RUSTON R AH1 - S T AH0 N +RUSTPROOF R AH1 S T - P R UW1 F +RUSTPROOFING R AH1 S T - P R UW1 - F IH0 NG +RUSTS R AH1 S T S +RUSTS(2) R AH1 S S +RUSTS(3) R AH1 S +RUSTY R AH1 - S T IY0 +RUSZKOWSKI R AH0 SH - K AO1 F S - K IY0 +RUT R AH1 T +RUTA R UW1 - T AH0 +RUTAN R UW1 - T AH0 N +RUTER R UW1 - T ER0 +RUTGARD R AH1 T - G AA2 R D +RUTGER R AH1 T - G ER0 +RUTGER'S R AH1 T - G ER0 Z +RUTGERS R AH1 T - G ER0 Z +RUTH R UW1 TH +RUTH'S R UW1 TH S +RUTHANN R UW2 - TH AE1 N +RUTHENBERG R AH1 - TH AH0 N - B ER0 G +RUTHER R UW1 - TH ER0 +RUTHERFORD R AH1 - TH ER0 - F ER0 D +RUTHIE R UW1 - TH IY0 +RUTHLESS R UW1 TH - L AH0 S +RUTHLESSLY R UW1 TH - L AH0 S - L IY0 +RUTHLESSNESS R UW1 TH - L AH0 S - N AH0 S +RUTHVEN R AH1 TH - V AH0 N +RUTIGLIANO R UW0 - T IY0 - G L IY0 - AA1 - N OW0 +RUTILE R UW1 - T IY0 L +RUTKOSKI R AH0 T - K AW1 S - K IY0 +RUTKOWSKI R AH0 T - K AO1 F S - K IY0 +RUTLAND R AH1 T - L AH0 N D +RUTLEDGE R AH1 T - L IH0 JH +RUTLEY R AH1 T - L IY0 +RUTMAN R AH1 T - M AH0 N +RUTS R AH1 T S +RUTSKOI R UW1 T - S K OY0 +RUTSKOI'S R UW1 T - S K OY0 Z +RUTSTEIN R AH1 T - S T AY2 N +RUTSTEIN(2) R AH1 T - S T IY2 N +RUTT R AH1 T +RUTTAN R AH1 - T AH0 N +RUTTED R AH1 - T IH0 D +RUTTEN R AH1 - T AH0 N +RUTTENBERG R AH1 - T AH0 N - B ER0 G +RUTTER R AH1 - T ER0 +RUTTLE R AH1 - T AH0 L +RUTTLES R AH1 - T AH0 L Z +RUTTS R AH1 T S +RUTZ R AH1 T S +RUTZEN R AH1 T - Z AH0 N +RUUD R UW1 D +RUVALCABA R UW0 - V AA0 L - K AA1 - B AH0 +RUVOLO R UW0 - V OW1 - L OW0 +RUWE R UW1 W +RUX R AH1 K S +RUXPIN R AH1 K - S P IH0 N +RUYBAL R AY1 - B AH0 L +RUYLE R AY1 L +RUZEK R UW1 - Z EH0 K +RUZICH R AH1 - Z IH0 HH +RUZICKA R UW2 - Z IH1 - K AH0 +RUZZO R UW1 - Z OW0 +RWANDA R AH0 W - AA1 N - D AH0 +RWANDA'S R AH0 W - AA1 N - D AH0 Z +RWANDA'S(2) R UW2 - AA1 N - D AH0 Z +RWANDA(2) R UW2 - AA1 N - D AH0 +RWANDAN R AH0 W - AA1 N - D AH0 N +RWANDAN'S R AH0 W - AA1 N - D AH0 N Z +RWANDAN'S(2) R UW2 - AA1 N - D AH0 N Z +RWANDAN(2) R UW2 - AA1 N - D AH0 N +RWANDANS R AH0 W - AA1 N - D AH0 N Z +RWANDANS(2) R UW2 - AA1 N - D AH0 N Z +RWANDESE R AH0 - W AA2 - D IY1 Z +RWANDESE(2) R UW0 - AA2 - D IY1 Z +RYAL R IY0 - AA1 L +RYALL R IY0 - AA1 L +RYALS R IY0 - AA1 L Z +RYAN R AY1 - AH0 N +RYAN'S R AY1 - AH0 N Z +RYANAIR R AY1 - AH0 - N EH2 R +RYANS R AY1 - AH0 N Z +RYBA R IH1 - B AH0 +RYBACK R AY1 - B AE2 K +RYBACKI R IH0 - B AA1 T S - K IY0 +RYBACKI(2) R IH2 - B AA1 - K IY0 +RYBAK R IH1 - B AH0 K +RYBAKOV R AY1 - B AH0 - K AA2 V +RYBAKOV'S R AY1 - B AH0 - K AA2 V Z +RYBARCZYK R IH1 - B ER0 - CH IH0 K +RYBERG R AY1 - B ER0 G +RYBICKI R IH0 - B IH1 T S - K IY0 +RYBINSKI R IH0 - B IH1 N - S K IY0 +RYBKA R IH1 - B K AH0 +RYBOLT R IH1 - B OW0 L T +RYBURN R IH1 - B ER0 N +RYCHLIK R IH1 CH - L IH0 K +RYCHLIK(2) R IH1 - K L IH0 K +RYCKMAN R IH1 K - M AH0 N +RYCROFT R IH1 - K R AH0 F T +RYCZEK R IH1 - CH EH0 K +RYDBERG R IH1 D - B ER0 G +RYDELL R IH1 - D AH0 L +RYDEN R AY1 - D AH0 N +RYDER R AY1 - D ER0 +RYDER'S R AY1 - D ER0 Z +RYDMAN R IH1 D - M AH0 N +RYDZEWSKI R IH0 - JH EH1 F S - K IY0 +RYE R AY1 +RYEN R AY1 - AH0 N +RYER R AY1 - ER0 +RYERSON R AY1 R - S AH0 N +RYGIEL R IH1 - G IY0 L +RYKA R AY1 - K AH0 +RYKER R AY1 - K ER0 +RYKIEL R IY1 - K Y EH0 L +RYKIEL(2) R IH1 - K Y EH0 L +RYKOFF R AY1 - K AO2 F +RYKOWSKI R IH0 - K AO1 F S - K IY0 +RYLAN R AY1 - L AH0 N +RYLAND R IH1 - L AH0 N D +RYLANDER R IH1 - L AH0 N - D ER0 +RYLE R AY1 L +RYLEE R IH1 - L IY0 +RYLES R AY1 L Z +RYLEY R AY1 - L IY0 +RYMAN R AY1 - M AH0 N +RYMER R AY1 - M ER0 +RYNDERS R IH1 N - D ER0 Z +RYNEARSON R IH1 - N ER0 - S AH0 N +RYNER R AY1 - N ER0 +RYNES R AY1 N Z +RYNO R IH1 - N OW0 +RYOBI R AY2 - OW1 - B IY0 +RYOHEI R AY1 - OW0 - HH EY2 +RYON R AY1 - AH0 N +RYRIE R AY1 - R IY0 +RYS R IH1 S +RYSAVY R IH0 - S AA1 - V IY0 +RYSER R AY1 - S ER0 +RYSKAMP R AY1 - S K AE2 M P +RYTHER R IH1 - DH ER0 +RYTON R IH1 - T AH0 N +RYUTARO R Y UW0 - T AA1 - R OW0 +RYUZO R AY2 - UW1 - Z OW0 +RYZHKOV R AY1 Z - K AA0 V +RZASA ER0 - Z AA1 - S AH0 +RZEPKA ER0 - Z EH1 P - K AH0 +S EH1 S +S'S EH1 - S IH0 Z +S. EH1 S +S.'S EH1 - S IH0 Z +SA S AA1 +SAAB S AA1 B +SAAB'S S AA1 B Z +SAAD S AA1 D +SAAL S AA1 L +SAAM S AA1 M +SAAMSTAAN S AA1 M - S T AA2 N +SAAR S AA1 R +SAARI S AA1 - R IY0 +SAARINEN S AA1 - R IH0 - N AH0 N +SAARINEN(2) S AH0 - R IY1 - N AH0 N +SAATCHI S AA1 - CH IY0 +SAATCHI'S S AA1 - CH IY0 Z +SAATHOFF S AA1 T - HH AO2 F +SAAVEDRA S AA0 - V EY1 - D R AH0 +SAB'S S AE1 B Z +SABA S AA1 - B AH0 +SABAH S AA1 - B AH0 +SABALA S AA0 - B AA1 - L AH0 +SABALAN S AE1 - B AH0 - L AH0 N +SABAN S EY1 - B AH0 N +SABAT S AA1 - B AA0 T +SABATINE S AA0 - B AA0 - T IY1 - N IY0 +SABATINI S AE2 - B AH0 - T IY1 - N IY0 +SABATINO S AA0 - B AA0 - T IY1 - N OW0 +SABATISTA S AA2 - B AH0 - T IY1 - S T AH0 +SABATISTA'S S AA2 - B AH0 - T IY1 - S T AH0 Z +SABATISTAS S AA2 - B AH0 - T IY1 - S T AH0 Z +SABATISTAS' S AA2 - B AH0 - T IY1 - S T AH0 Z +SABATKA S AA0 - B AA1 T - K AH0 +SABATO S AA0 - B AA1 - T OW0 +SABAUDIA S AH0 - B AO1 - D IY0 - AH0 +SABB S AE1 B +SABBAGH S AE1 - B AH0 G +SABBATH S AE1 - B AH0 TH +SABBATICAL S AH0 - B AE1 - T IH0 - K AH0 L +SABEDRA S AH0 - B EH1 - D R AH0 +SABEL S AA0 - B EH1 L +SABELLA S AH0 - B EH1 - L AH0 +SABENA S AH0 - B IY1 - N AH0 +SABER S EY1 - B ER0 +SABERBEIN S EY1 - B ER0 - B AY2 N +SABERS S EY1 - B ER0 Z +SABERTECH S EY1 - B ER0 - T EH2 K +SABEY S EY1 - B IY0 +SABIA S AA1 - B IY0 - AH0 +SABIN S EY1 - B IH0 N +SABINA S AH0 - B IY1 - N AH0 +SABINE S AH0 - B IY1 N +SABINO S AA0 - B IY1 - N OW0 +SABINS S EY1 - B IH0 N Z +SABLAN S AE1 - B L AH0 N +SABLE S EY1 - B AH0 L +SABLES S EY1 - B AH0 L Z +SABO S AA1 - B OW0 +SABOL S AA0 - B AO1 L +SABORTECH S EY1 - B ER0 - T EH2 K +SABOTAGE S AE1 - B AH0 - T AA2 ZH +SABOTAGED S AE1 - B AH0 - T AA2 ZH D +SABOTAGING S AE1 - B AH0 - T AA2 - ZH IH0 NG +SABOTEUR S AE2 - B AH0 - T ER1 +SABOTEURS S AE2 - B AH0 - T ER1 Z +SABOTEURS(2) S AE2 - B IH0 - T AO1 R Z +SABOURIN S AE1 - B UH0 - R AE0 N +SABRA S AA1 - B R AH0 +SABRE S EY1 - B ER0 +SABRES S EY1 - B ER0 Z +SABRETECH S EY1 - B ER0 - T EH2 K +SABRINA S AH0 - B R IY1 - N AH0 +SABRY S AA1 - B R IY0 +SABTA S AE1 B - T AH0 +SABUNUMA S AE0 - B UW1 - N AH0 - M AH0 +SAC S AE1 K +SACCA S AE1 - K AH0 +SACCHARIN S AE1 - K ER0 - AH0 N +SACCHARINE S AE1 - K ER0 - AY2 N +SACCO S AE1 - K OW0 +SACCO'S S AE1 - K OW0 Z +SACCOCCIO S AA0 - K OW1 - CH IY0 - OW0 +SACCOMANNO S AE1 - K AH0 - M AE2 - N OW0 +SACCONE S AA0 - K OW1 - N IY0 +SACCULE S AE1 - K Y UW2 L +SACHA S AE1 - CH AH0 +SACHDEV S AE1 CH - D EH2 V +SACHER S AE1 - K ER0 +SACHI S AE1 - CH IY0 +SACHS S AE1 K S +SACHS' S AE1 K S +SACHS'S S AE1 K - S IH0 Z +SACHS(2) S AA1 K S +SACHSE S AE1 CH S +SACILOR S AE1 - S AH0 - L ER0 +SACIRBEY S AA1 - K ER0 - B IY0 +SACIRBEY'S S AA1 - K ER0 - B IY0 Z +SACK S AE1 K +SACKED S AE1 K T +SACKETT S AE1 - K IH0 T +SACKING S AE1 - K IH0 NG +SACKLER S AE1 K - L ER0 +SACKMAN S AE1 K - M AH0 N +SACKMANN S AE1 K - M AH0 N +SACKRIDER S AE1 - K R AY2 - D ER0 +SACKS S AE1 K S +SACKSTEDER S AE1 K - S T EH2 - D ER0 +SACKVILLE S AE1 K - V IH2 L +SACO S EY1 - K OW0 +SACRA S AE1 - K R AH0 +SACRAMENT S AE1 - K R AH0 - M AH0 N T +SACRAMENTO S AE2 - K R AH0 - M EH1 N - T OW0 +SACRAMENTO'S S AE2 - K R AH0 - M EH1 N - T OW0 Z +SACRAMENTS S AE1 - K R AH0 - M AH0 N T S +SACRED S EY1 - K R AH0 D +SACRED(2) S EY1 - K R IH0 D +SACREDNESS S EY1 - K R IH0 D - N IH0 S +SACRIFICE S AE1 - K R AH0 - F AY2 S +SACRIFICED S AE1 - K R AH0 - F AY2 S T +SACRIFICES S AE1 - K R AH0 - F AY2 - S IH0 Z +SACRIFICIAL S AE2 - K R AH0 - F IH1 - SH AH0 L +SACRIFICING S AE1 - K R AH0 - F AY2 - S IH0 NG +SACRILEGE S AE1 - K R AH0 - L AH0 JH +SACRILEGIOUS S AE2 - K R AH0 - L EH1 - JH IH0 S +SACROSANCT S AE1 - K R OW0 - S AE0 NG K T +SACS S AE1 K S +SAD S AE1 D +SADA S AA1 - D AH0 +SADAKA S AH0 - D AA1 - K AH0 +SADAKO S AA0 - D AA1 - K OW0 +SADAO S AH0 - D AW1 +SADAT S AA0 - D AA1 T +SADAT'S S AA0 - D AA1 T S +SADAT'S(2) S AH0 - D AE1 T S +SADAT(2) S AH0 - D AE1 T +SADDAM S AA1 - D AH0 M +SADDAM'S S AA1 - D AH0 M Z +SADDAM'S(2) S AH0 - D AA1 M Z +SADDAM(2) S AH0 - D AA1 M +SADDEN S AE1 - D AH0 N +SADDENED S AE1 - D AH0 N D +SADDENING S AE1 - D AH0 N - IH0 NG +SADDENING(2) S AE1 D - N IH0 NG +SADDENS S AE1 - D AH0 N Z +SADDER S AE1 - D ER0 +SADDEST S AE1 - D AH0 S T +SADDLE S AE1 - D AH0 L +SADDLEBAG S AE1 - D AH0 L - B AE2 G +SADDLEBAGS S AE1 - D AH0 L - B AE2 G Z +SADDLED S AE1 - D AH0 L D +SADDLER S AE1 - D AH0 L - ER0 +SADDLER(2) S AE1 D - L ER0 +SADDLES S AE1 - D AH0 L Z +SADDLING S AE1 - D AH0 L - IH0 NG +SADDLING(2) S AE1 D - L IH0 NG +SADDORIS S AE1 - D ER0 - IH0 S +SADEGHI S AA0 - D EH1 - G IY0 +SADEH S AA1 - D EH2 +SADEH-KONIECPOL S AA1 - D EH2 - K OW2 - N IY0 - EH1 K - P AO2 L +SADEK S AE1 - D IH0 K +SADELLA S AH0 - D EH1 - L AH0 +SADER S EY1 - D ER0 +SADIE S AE1 - D IY0 +SADIE'S S EY1 - D IY0 Z +SADIRA S AA0 - D IH1 - R AH0 +SADISM S EY1 - D IH0 - Z AH0 M +SADIST S EY1 - D AH0 S T +SADISTIC S AH0 - D IH1 - S T IH0 K +SADLER S AE1 D - L ER0 +SADLIER S AE1 D - L IY0 - ER0 +SADLON S AE1 D - L AH0 N +SADLOWSKI S AE0 D - L AW1 S - K IY0 +SADLY S AE1 D - L IY0 +SADNESS S AE1 D - N AH0 S +SADO S EY1 - D OW0 +SADOFF S AE1 - D AO2 F +SADOWSKI S AH0 - D AO1 F S - K IY0 +SADOWSKY S AH0 - D AW1 S - K IY0 +SADYE S AE1 - D AY0 +SAECHAO S IY1 - CH AW0 +SAEED S AA0 - IY1 D +SAEGER S EH1 - G ER0 +SAEHAN S EY1 - AH0 N +SAELENS S EH1 - L AH0 N Z +SAEMAUL S EY1 - M AO0 L +SAENGER S EH1 N - JH ER0 +SAENS'S S EY1 N - Z IH0 Z +SAENZ S IY1 N Z +SAEZ S IY1 Z +SAFARI S AH0 - F AA1 - R IY0 +SAFARIK S AE1 - F ER0 - IH0 K +SAFARIS S AH0 - F AA1 - R IY0 Z +SAFDIE S AE1 F - D IY0 +SAFE S EY1 F +SAFECARD S EY1 F - K AA2 R D +SAFECARD'S S EY1 F - K AA2 R D Z +SAFECO S EY1 F - K OW0 +SAFEGUARD S EY1 F - G AA2 R D +SAFEGUARDED S EY1 F - G AA2 R - D IH0 D +SAFEGUARDING S EY1 F - G AA2 R - D IH0 NG +SAFEGUARDS S EY1 F - G AA2 R D Z +SAFEHOUSE S EY1 F - HH AW2 S +SAFEKEEPING S EY1 F - K IY1 - P IH0 NG +SAFELY S EY1 F - L IY0 +SAFER S EY1 - F ER0 +SAFES S EY1 F S +SAFEST S EY1 - F AH0 S T +SAFETY S EY1 F - T IY0 +SAFETY'S S EY1 F - T IY0 Z +SAFEWAY S EY1 F - W EY2 +SAFEWAY'S S EY1 F - W EY2 Z +SAFFELL S AE1 - F AH0 L +SAFFER S AE1 - F ER0 +SAFFERSTEIN S AE1 - F ER0 - S T IY2 N +SAFFERSTEIN(2) S AE1 - F ER0 - S T AY2 N +SAFFLE S AE1 - F AH0 L +SAFFLOWER S AE1 - F L AW2 - ER0 +SAFFOLD S AE1 - F OW2 L D +SAFFORD S AE1 - F ER0 D +SAFFRAN S AE1 - F R AH0 N +SAFFRON S AE1 - F R AH0 N +SAFIAN S EY1 - F IY0 - AH0 N +SAFIER S AH0 - F IH1 R +SAFING S EY1 - F IH0 NG +SAFIR S AE1 - F ER0 +SAFIRE S AH0 - F AY1 R +SAFIRE'S S AH0 - F AY1 R Z +SAFKO S AA1 F - K OW0 +SAFLEY S AE1 F - L IY0 +SAFRA S AE1 - F R AH0 +SAFRA'S S AE1 - F R AH0 Z +SAFRAN S AE1 - F R AH0 N +SAFRANEK S AE1 - F R AH0 - N IH0 K +SAFRIT S AE1 - F R IH0 T +SAG S AE1 G +SAGA S AA1 - G AH0 +SAGAN S EY1 - G AH0 N +SAGANSKY S AH0 - G AE1 N S - K IY0 +SAGAR S AA0 - G AA1 R +SAGAS S AA1 - G AH0 Z +SAGE S EY1 JH +SAGE'S S EY1 - JH AH0 Z +SAGEBRUSH S EY1 JH - B R AH2 SH +SAGEN S AE1 - G AH0 N +SAGER S EY1 - G ER0 +SAGERS S EY1 - G ER0 Z +SAGES S EY1 - JH IH0 Z +SAGGED S AE1 G D +SAGGESE S AE1 - G IY0 Z +SAGGING S AE1 - G IH0 NG +SAGINAW S AE1 - G IH0 - N AO2 +SAGO S EY1 - G OW0 +SAGONA S AA0 - G OW1 - N AH0 +SAGRAVES S AA0 - G R AA1 - V EH0 S +SAGS S AE1 G Z +SAGUARO S AH0 G - W AO1 - R OW0 +SAHA S AA1 - HH AH0 +SAHAGIAN S AH0 - HH IY1 - JH IY0 - AH0 N +SAHAGUN S AE1 - HH AH0 - G AH0 N +SAHARA S AH0 - HH EH1 - R AH0 +SAHARAN S AE1 - HH ER0 - AH0 N +SAHGAL S AA1 - G AH0 L +SAHL S AA1 L +SAHLEN S AA1 - L AH0 N +SAHLI S AA1 - L IY0 +SAHLIN S AA1 - L IH0 N +SAHLMAN S AA1 L - M AH0 N +SAHM S AE1 M +SAHR S AE1 R +SAI S AY1 +SAI(2) EH1 - S EY1 - AY1 +SAIA S AA1 - Y AH0 +SAID S EH1 D +SAIDAN S EY1 - D AH0 N +SAIDINER S EY1 - D IH0 - N ER0 +SAIF S AA2 - IY1 F +SAIF(2) S AY1 F +SAIGON S AY2 - G AA1 N +SAIKI S EY1 - K IY0 +SAIL S EY1 L +SAILBOAT S EY1 L - B OW2 T +SAILBOATS S EY1 L - B OW2 T S +SAILED S EY1 L D +SAILER S EY1 - L ER0 +SAILFISH S EY1 L - F IH2 SH +SAILING S EY1 - L IH0 NG +SAILOR S EY1 - L ER0 +SAILOR'S S EY1 - L ER0 Z +SAILORS S EY1 - L ER0 Z +SAILORS' S EY1 - L ER0 Z +SAILS S EY1 L Z +SAIN S EY1 N +SAINATO S AH0 - N AA1 - T OW0 +SAINDON S EY1 N - D AH0 N +SAINE S EY1 N +SAINSBURY S EY1 N S - B EH0 - R IY0 +SAINT S EY1 N T +SAINT'S S EY1 N T S +SAINTED S EY1 N - T IH0 D +SAINTHOOD S EY1 N T - HH UH2 D +SAINTLY S EY1 N T - L IY0 +SAINTS S EY1 N T S +SAINTS' S EY1 N T S +SAINZ S EY1 N Z +SAIPAN S EY1 - P AH0 N +SAIPAN'S S EY1 - P AH0 N Z +SAIS S EY1 Z +SAISON S EY1 - S AA0 N +SAITAMA S AA2 - IH0 - T AA1 - M AH0 +SAITO S EY1 - T OW2 +SAITTA S EY1 - T AH0 +SAIZ S EY1 Z +SAJAK S AE1 - JH AE0 K +SAJDAK S AY1 - D AH0 K +SAK S AE1 K +SAKAGUCHI S AA0 - K AA0 - G UW1 - CH IY0 +SAKAI S AA0 - K AA1 - IY0 +SAKAL S EY1 - K AH0 L +SAKAMOTO S AA0 - K AA0 - M OW1 - T OW0 +SAKATA S AA0 - K AA1 - T AH0 +SAKAU S AA0 - K AA1 - UW0 +SAKE S EY1 K +SAKER S EY1 - K ER0 +SAKES S EY1 K S +SAKHALIN S AE1 K - HH AH0 - L IH0 N +SAKHAROV S AA1 - K ER0 - AA0 V +SAKI S AA1 - K IY0 +SAKIGAKE S AA2 - K IY0 - G AA1 - K IY0 +SAKINA S AH0 - K IY1 - N AH0 +SAKO S AA1 - K OW0 +SAKOWITZ S AE1 - K AH0 - W IH0 T S +SAKOWSKI S AH0 - K AO1 F S - K IY0 +SAKS S AE1 K S +SAKS'S S AE1 K - S IH0 Z +SAKSA S AE1 K - S AH0 +SAKSIDA S AA2 K - S IY1 - D AH0 +SAKUMA S AA0 - K UW1 - M AH0 +SAKURA S AE0 - K UH1 - R AH0 +SAKURAI S AA0 - K UH0 - R AA1 - IY0 +SAL S AE1 L +SAL'S S AE1 L Z +SALA S AA1 - L AH0 +SALAAM S AH0 - L AA1 M +SALABLE S EY1 - L AH0 - B AH0 L +SALABLES S EY1 - L AH0 - B AH0 L Z +SALACIOUS S AH0 - L EY1 - SH AH0 S +SALAD S AE1 - L AH0 D +SALADA S AH0 - L AA1 - D AH0 +SALADIN S AE1 - L AH0 - D IH0 N +SALADINO S AA0 - L AA0 - D IY1 - N OW0 +SALADS S AE1 - L AH0 D Z +SALAFIA S AH0 - L EY1 - F IY0 - AH0 +SALAH S AE1 - L AH0 +SALAK S AE1 - L AH0 K +SALAM S AA0 - L AA1 M +SALAMA S AA0 - L AA1 - M AH0 +SALAMANCA S AE2 - L AH0 - M AE1 NG - K AH0 +SALAMANDER S AE2 - L AH0 - M AE1 N - D ER0 +SALAMANDERS S AE2 - L AH0 - M AE1 N - D ER0 Z +SALAMEH S AA1 - L AA0 - M EH0 +SALAMEH'S S AA1 - L AA0 - M EH0 Z +SALAMI S AH0 - L AA1 - M IY0 +SALAMIS S AH0 - L AA1 - M IY0 Z +SALAMON S AE1 - L AH0 - M AH0 N +SALAMONE S AE1 - L AH0 - M OW2 N +SALANT S AE1 - L AH0 N T +SALARIED S AE1 - L ER0 - IY0 D +SALARIES S AE1 - L ER0 - IY0 Z +SALARY S AE1 - L ER0 - IY0 +SALARYMEN S AE1 - L ER0 - IY0 - M AH0 N +SALAS S AA1 - L AA0 Z +SALATA S AA0 - L AA1 - T AH0 +SALATINO S AA0 - L AA0 - T IY1 - N OW0 +SALAY S AE1 - L EY0 +SALAZ S AA1 - L AA0 Z +SALAZAR S AE1 - L AH0 - Z AA0 R +SALBERG S AE1 L - B ER0 G +SALCE S EY1 L S +SALCEDO S AA0 L - CH EY1 - D OW0 +SALCIDO S AA0 L - CH IY1 - D OW0 +SALDANA S AA0 L - D AE1 - N AH0 +SALDIVAR S AA0 L - D IY0 - V AA1 R +SALDOVAR S AA0 L - D AH0 - V AA1 R +SALE S EY1 L +SALE'S S EY1 L Z +SALEABLE S EY1 - L AH0 - B AH0 L +SALEEBY S AE1 - L IY0 - B IY0 +SALEEM S AE1 - L IY0 M +SALEH S AA1 - L EH0 HH +SALEK S AA1 - L EH0 K +SALEM S EY1 - L AH0 M +SALEM'S S EY1 - L AH0 M Z +SALEMA S AH0 - L IY1 - M AH0 +SALEMI S AA0 - L EH1 - M IY0 +SALEMME S AE1 - L IH0 M +SALERNO S AH0 - L EH1 R - N OW0 +SALES S EY1 L Z +SALES' S EY1 L Z +SALESMAN S EY1 L Z - M AH0 N +SALESMAN'S S EY1 L Z - M AH0 N Z +SALESMANSHIP S EY1 L Z - M AH0 N - SH IH2 P +SALESMEN S EY1 L Z - M IH0 N +SALESMEN'S S EY1 L Z - M IH0 N Z +SALESPEOPLE S EY1 L Z - P IY2 - P AH0 L +SALESPERSON S EY1 L Z - P ER2 - S AH0 N +SALESWOMAN S EY1 L Z - W UH2 - M AH0 N +SALESWOMEN S EY1 L Z - W IH2 - M AH0 N +SALGADO S AA0 L - G AA1 - D OW0 +SALGUERO S AA0 L - G EH1 - R OW0 +SALHANY S AE2 L - HH EY1 - N IY0 +SALIBA S AA0 - L IY1 - B AH0 +SALICK S AE1 - L IH0 K +SALIENT S EY1 - L IY0 - AH0 N T +SALIENT(2) S EY1 - L Y AH0 N T +SALIGMAN S AE1 - L IH0 G - M AH0 N +SALIM S AE1 - L IH0 M +SALIM(2) S AA0 - L IY0 M +SALIN S AA0 - L IY1 N +SALINA S AH0 - L IY1 - N AH0 +SALINAS S AH0 - L IY1 - N AH0 S +SALINAS' S AH0 - L IY1 - N AH0 S +SALINAS'(2) S AH0 - L IY1 - N AH0 Z +SALINAS'S S AH0 - L IY1 - N AH0 - S IH0 Z +SALINAS(2) S AH0 - L IY1 - N AH0 Z +SALINE S AH0 - L IY1 N +SALING S EY1 - L IH0 NG +SALINGER S EY1 - L IH0 - NG ER0 +SALINGER'S S EY1 - L IH0 - NG ER0 Z +SALINGER'S(2) S AE1 - L IH0 N - JH ER0 Z +SALINGER(2) S AE1 - L IH0 N - JH ER0 +SALINGERS S AE1 - L IH0 - NG ER0 Z +SALINGERS(2) S AE1 - L IH0 N - JH ER0 Z +SALINITY S AH0 - L IH1 - N AH0 - T IY0 +SALIS S AA1 - L IH0 S +SALISBURY S AE1 L Z - B ER0 - IY0 +SALIVA S AH0 - L AY1 - V AH0 +SALIVATE S AE1 - L AH0 - V EY2 T +SALIVATED S AE1 - L AH0 - V EY2 - T AH0 D +SALIVATING S AE1 - L AH0 - V EY2 - T IH0 NG +SALIZZONI S AE2 - L IH0 - Z OW1 - N IY0 +SALK S AO1 K +SALK'S S AO1 K S +SALKELD S AE1 L - K IH0 L D +SALKIN S AE1 L - K IH0 N +SALL S AO1 L +SALLADE S AE1 - L EY2 D +SALLAS S AA1 - L AA0 Z +SALLE S EY1 L +SALLEE S AE1 - L IY0 +SALLEH S AA1 - L EH0 +SALLER S AO1 - L ER0 +SALLES S AA1 - L EH0 S +SALLEY S AE1 - L IY0 +SALLIE S AE1 - L IY0 +SALLIES S AE1 - L IY0 Z +SALLING S AO1 - L IH0 NG +SALLIS S AE1 - L IH0 S +SALLS S AO1 L Z +SALLY S AE1 - L IY0 +SALLY'S S AE1 - L IY0 Z +SALM S AA1 M +SALMAN S AE1 - M AH0 N +SALMANS S AE1 - M AH0 N Z +SALMELA S AA0 L - M EY1 - L AH0 +SALMEN S AE0 L - M EH1 N +SALMERON S AA0 L - M EH0 - R AO1 N +SALMI S AA1 L - M IY0 +SALMINEN S AE1 L - M IH0 - N AH0 N +SALMON S AE1 - M AH0 N +SALMOND S AE1 L - M AH0 N D +SALMONELLA S AE2 L - M AH0 - N EH1 - L AH0 +SALMONS S AE1 - M AH0 N Z +SALMONSON S AA0 L - M OW1 N - S AH0 N +SALO S AA1 - L OW0 +SALOIS S AH0 L - W AA1 +SALOMA S AA0 - L OW1 - M AH0 +SALOME S AH0 - L OW1 - M IY0 +SALOMI S AA0 - L OW1 - M IY0 +SALOMON S AE1 - L AH0 - M AH0 N +SALOMON'S S AE1 - L AH0 - M AH0 N Z +SALOMONE S AA0 - L OW0 - M OW1 - N IY0 +SALON S AH0 - L AA1 N +SALONE S AH0 - L OW1 N +SALONGA S AH0 - L AO1 NG - G AH0 +SALONS S AH0 - L AA1 N Z +SALOOJEE S AH0 - L UW1 - JH IY0 +SALOON S AH0 - L UW1 N +SALOONS S AH0 - L UW1 N Z +SALOPEK S AE1 - L AH0 - P IH0 K +SALOW S AE1 - L OW0 +SALSA S AO1 L - S AH0 +SALSBERRY S AO1 L S - B EH0 - R IY0 +SALSBERY S AE1 L S - B ER0 - IY0 +SALSBURY S AE1 L Z - B ER0 - IY0 +SALSER S EY1 L - S ER0 +SALSGIVER S AE1 L - S G IH0 - V ER0 +SALSMAN S AO1 L S - M AH0 N +SALT S AO1 L T +SALTARELLI S AO0 L - T AA0 R - EH1 - L IY0 +SALTBOX S AO1 L T - B AA2 K S +SALTED S AO1 L - T AH0 D +SALTED(2) S AO1 L - T IH0 D +SALTER S AO1 L - T ER0 +SALTER'S S AO1 L - T ER0 Z +SALTERS S AO1 L - T ER0 Z +SALTIER S AO1 L - T IY0 - ER0 +SALTING S AO1 L - T IH0 NG +SALTLIKE S AO1 L T - L AY2 K +SALTMARSH S AO1 L T - M AA2 R SH +SALTON S AO1 L - T AH0 N +SALTS S AO1 L T S +SALTSMAN S AO1 L T S - M AH0 N +SALTWATER S AO2 L T - W AA1 - T ER0 +SALTY S AO1 L - T IY0 +SALTZ S AE1 L T S +SALTZBURG S AO1 L T S - B ER0 G +SALTZMAN S AO1 L T S - M AH0 N +SALUS S AE1 - L IH0 S +SALUTARY S AE1 - L Y AH0 - T EH2 - R IY0 +SALUTATORIAN S AH0 - L UW2 - T AH0 - T AO1 - R IY0 - AH0 N +SALUTE S AH0 - L UW1 T +SALUTED S AH0 - L UW1 - T AH0 D +SALUTES S AH0 - L UW1 T S +SALUTING S AH0 - L UW1 - T IH0 NG +SALVA S AA1 L - V AH0 +SALVADOR S AE1 L - V AH0 - D AO2 R +SALVADOR'S S AE1 L - V AH0 - D AO2 R Z +SALVADORAN S AE1 L - V AH0 - D AO2 - R AH0 N +SALVADORANS S AE0 L - V AH0 - D AO1 - R AH0 N Z +SALVADORE S AA0 L - V AA0 - D AO1 - R EY0 +SALVAGE S AE1 L - V AH0 JH +SALVAGE(2) S AE1 L - V IH0 JH +SALVAGEABLE S AE1 L - V IH0 - JH AH0 - B AH0 L +SALVAGED S AE1 L - V IH0 JH D +SALVAGER S AE1 L - V IH0 - JH ER0 +SALVAGERS S AE1 L - V IH0 - JH ER0 Z +SALVAGGIO S AA0 L - V AA1 - JH IY0 - OW0 +SALVAGING S AE1 L - V IH0 - JH IH0 NG +SALVAS S AA1 L - V AA0 Z +SALVATI S AA0 L - V AA1 - T IY0 +SALVATIERRA S AA0 L - V AA0 - T IH1 - R AH0 +SALVATION S AE0 L - V EY1 - SH AH0 N +SALVATO S AA0 L - V AA1 - T OW0 +SALVATORE S AE0 L - V AH0 - T AO1 - R IY0 +SALVATORE(2) S AE1 L - V AH0 - D AO2 R +SALVATORI S AA0 L - V AA0 - T AO1 - R IY0 +SALVE S AA1 V +SALVES S AA1 V Z +SALVESEN S AA0 L - V IY1 - Z AH0 N +SALVESON S AA0 L - V EY1 - S AH0 N +SALVETTI S AA0 L - V EH1 - T IY0 +SALVI S AA1 L - V IY0 +SALVI'S S AA1 L - V IY0 Z +SALVIA S AE1 L - V IY0 - AH0 +SALVIGSEN S AE1 L - V IH0 G - S AH0 N +SALVIGSTEN S AE1 L - V IH0 G - S T AH0 N +SALVINA S AA0 L - V IY1 - N AH0 +SALVINO S AE0 L - V IY1 - N OW0 +SALVO S AE1 L - V OW0 +SALVOS S AE1 L - V OW0 Z +SALVUCCI S AA0 L - V UW1 - CH IY0 +SALWAY S AE1 L - W EY0 +SALWEN S AE1 L - W AH0 N +SALYARD S AO1 L - Y ER0 D +SALYARDS S AE1 L - Y AA0 R D Z +SALYER S AA1 - L IY0 - ER0 +SALYERS S AA1 - L IY0 - ER0 Z +SALZ S AO1 L Z +SALZANO S AA0 L - Z AA1 - N OW0 +SALZBERG S AO1 L Z - B ER0 G +SALZBERG(2) S AO1 L T S - B ER0 G +SALZBURG S AO1 L Z - B ER0 G +SALZBURG(2) S AO1 L T S - B ER0 G +SALZER S EY1 L - Z ER0 +SALZGITTER S AO1 L T S - G IH2 - T ER0 +SALZHAUER S AO1 L T S - HH AW2 R +SALZHAUER(2) S AO1 L T - S AW2 R +SALZMAN S AO1 L Z - M AH0 N +SALZMANN S AO1 L Z - M AH0 N +SALZWEDEL S AE1 L Z - W IH0 - D AH0 L +SAM S AE1 M +SAM'S S AE1 M Z +SAM-JOO S AA1 M - JH UW2 +SAMA S AA1 - M AH0 +SAMAHA S AE1 - M AH0 - HH AH0 +SAMANIEGO S AA0 - M AA0 - N IY1 - G OW0 +SAMANO S AA0 - M AA1 - N OW0 +SAMANTHA S AH0 - M AE1 N - TH AH0 +SAMAR S AE1 - M AA0 R +SAMARA S AE1 - M ER0 - AH0 +SAMARANCH S AE1 - M ER0 - AE0 N CH +SAMARAS S AE1 - M ER0 - AH0 Z +SAMARIA S EY2 - M ER0 - IY1 - AH0 +SAMARIN S AA0 - M AA1 - R IY0 N +SAMARITAN S AH0 - M EH1 - R IH0 - T AH0 N +SAMARITANS S AH0 - M EH1 - R IH0 - T AH0 N Z +SAMARKAND S AE1 - M AA0 R - K AE2 N D +SAMATAR S AE1 - M AH0 - T AA2 R +SAMBA S AA1 M - B AH0 +SAMBERG S AE1 M - B ER0 G +SAMBO S AE1 M - B OW0 +SAMBORSKI S AH0 M - B AO1 R S - K IY0 +SAMBRANO S AA0 M - B R AA1 - N OW0 +SAMBRE S AE1 M - B R AH0 +SAMBUCA S AE2 M - B Y UW1 - K AH0 +SAMCOR S AE1 M - K AO2 R +SAME S EY1 M +SAMEDAN S AE1 - M AH0 - D AH0 N +SAMEER S AA2 - M IH1 R +SAMEK S AE1 - M IH0 K +SAMELLA S AH0 - M EH1 - L AH0 +SAMELLE S AH0 - M EH1 L +SAMELSON S AE1 - M IH0 L - S AH0 N +SAMENESS S EY1 M - N AH0 S +SAMEROL S AE1 - M ER0 - AO2 L +SAMES S EY1 M Z +SAMET S AE1 - M IH0 T +SAMFORD S AE1 M - F ER0 D +SAMI S AE1 - M IY0 +SAMI'S S AE1 - M IY0 Z +SAMINA S AH0 - M IH1 - N AH0 +SAMIR S AH0 - M IH1 R +SAMIR(2) S AA0 - M IH1 R +SAMMARCO S AA0 - M AA1 R - K OW0 +SAMMARTINO S AA0 - M AA0 R - T IY1 - N OW0 +SAMMET S AE1 - M IH0 T +SAMMIE S AE1 - M IY0 +SAMMIS S AE1 - M IH0 S +SAMMON S AE1 - M AH0 N +SAMMONS S AE1 - M AH0 N Z +SAMMS S AE1 M Z +SAMMUT S AE1 - M AH0 T +SAMMY S AE1 - M IY0 +SAMOA S AH0 - M OW1 - AH0 +SAMOAN S AH0 - M OW1 - AH0 N +SAMOJLIK S AH0 - M OY1 - L IH0 K +SAMONS S AA1 - M OW0 N Z +SAMORA S AA0 - M AO1 - R AH0 +SAMOS S EY1 - M AA0 S +SAMOTH S AE1 - M AH0 TH +SAMP S AE1 M P +SAMPAN S AE1 M - P AE0 N +SAMPANS S AE1 M - P AE0 N Z +SAMPER S AE1 M - P ER0 +SAMPER'S S AE1 M - P ER0 Z +SAMPERE S AE0 M - P IY1 R +SAMPEY S AE1 M - P IY0 +SAMPLE S AE1 M - P AH0 L +SAMPLE'S S AE1 M - P AH0 L Z +SAMPLED S AE1 M - P AH0 L D +SAMPLER S AE1 M - P L ER0 +SAMPLERS S AE1 M - P L ER0 Z +SAMPLES S AE1 M - P AH0 L Z +SAMPLEY S AE1 M - P L IY0 +SAMPLING S AE1 M - P L IH0 NG +SAMPLINGS S AE1 M - P L IH0 NG Z +SAMPRAS S AE1 M - P R AH0 S +SAMPRAS' S AE1 M - P R AH0 S +SAMPRAS'S S AE1 M - P R AH0 - S IH0 Z +SAMPRE S AE1 M - P R IY0 +SAMPRE(2) S AE1 M - P ER0 +SAMPSEL S AE1 M P - S AH0 L +SAMPSELL S AE1 M P - S AH0 L +SAMPSON S AE1 M P - S AH0 N +SAMRA S AE1 - M R AH0 +SAMS S AE1 M Z +SAMSARA S AH0 M - S AA1 - R AH0 +SAMSEL S AE1 M - S AH0 L +SAMSOM S AE1 M - S AH0 M +SAMSON S AE1 M - S AH0 N +SAMSONITE S AE1 M - S AH0 - N AY2 T +SAMSUNG S AE1 M - S AH2 NG +SAMSUNG'S S AE1 M - S AH2 NG Z +SAMUDIO S AA0 - M UW1 - D IY0 - OW0 +SAMUEL S AE1 - M Y UW0 L +SAMUEL'S S AE1 - M Y UW0 L Z +SAMUELA S AE2 - M Y UW0 - EH1 - L AH0 +SAMUELLE S AE1 - M Y UW0 - EH2 L +SAMUELS S AE1 - M Y UW0 - AH0 L Z +SAMUELSEN S AE1 - M UH0 L - S AH0 N +SAMUELSON S AE1 - M Y UW0 - AH0 L - S AH0 N +SAMURAI S AE1 - M UH0 - R AY2 +SAMURAI'S S AE1 - M ER0 - AY2 Z +SAMURAI(2) S AE1 - M ER0 - AY2 +SAMURAIS S AE1 - M ER0 - AY2 Z +SAMURAIS(2) S AE1 - M ER0 - IH0 Z +SAN S AE1 N +SAN-ANDREAS S AE1 - N AA2 N - D R EY1 - AH0 S +SAN-DIEGO S AE1 N - D IY0 - EY1 - G OW0 +SAN-FRAN S AE1 N - F R AE1 N +SAN-FRANCISCO S AE1 N - F R AE0 N - S IH1 - S K OW0 +SAN-JUAN S AE1 N - W AA1 N +SAN-SALVADOR S AE1 N - S AE1 L - V AH0 - D AO2 R +SANA S AA1 - N AH0 +SANAA S AH0 - N AA1 +SANABRIA S AH0 - N AE1 - B R IY0 - AH0 +SANADA S AA0 - N AA1 - D AH0 +SANBORN S AE1 N - B AO2 R N +SANCHES S AA1 N - CH EH0 S +SANCHEZ S AE1 N - CH EH0 Z +SANCHEZ'S S AE1 N - CH EH0 - Z IH0 Z +SANCHO S AA1 N - K OW0 +SANCIA S AA1 N - CH AH0 +SANCTIFICATION S AE2 NG K - T AH0 - F AH0 - K EY1 - SH AH0 N +SANCTIFY S AE1 NG K - T AH0 - F AY0 +SANCTIMONIOUS S AE2 NG K - T AH0 - M OW1 - N IY0 - AH0 S +SANCTIMONY S AE1 NG K - T IH0 - M OW2 - N IY0 +SANCTION S AE1 NG K - SH AH0 N +SANCTION(2) S AE1 NG - SH AH0 N +SANCTIONED S AE1 NG K - SH AH0 N D +SANCTIONED(2) S AE1 NG - SH AH0 N D +SANCTIONING S AE1 NG K - SH AH0 N - IH0 NG +SANCTIONING(2) S AE1 NG - SH AH0 N - IH0 NG +SANCTIONS S AE1 NG K - SH AH0 N Z +SANCTIONS(2) S AE1 NG - SH AH0 N Z +SANCTITY S AE1 NG K - T IH0 - T IY0 +SANCTUARIES S AE1 NG K - CH UW0 - EH2 - R IY0 Z +SANCTUARY S AE1 NG K - CH UW0 - EH2 - R IY0 +SANCTUM S AE1 NG K - T AH0 M +SAND S AE1 N D +SAND'S S AE1 N D Z +SANDA S AE1 N - D AH0 +SANDAGE S AE1 N - D IH0 JH +SANDAHL S AE1 N - D AA2 L +SANDAL S AE1 N - D AH0 L +SANDALL S AE1 N - D AA0 L +SANDALO S AE2 N - D AE1 - L OW0 +SANDALS S AE1 N - D AH0 L Z +SANDAU S AE1 N - D AW0 +SANDBAG S AE1 N D - B AE2 G +SANDBAGGED S AE1 N D - B AE2 G D +SANDBAGGER S AE1 N D - B AE2 - G ER0 +SANDBAGGERS S AE1 N D - B AE2 - G ER0 Z +SANDBAGGING S AE1 N D - B AE2 - G IH0 NG +SANDBAGS S AE1 N D - B AE2 G Z +SANDBAR S AE1 N D - B AA2 R +SANDBERG S AE1 N D - B ER0 G +SANDBLAST S AE1 N D - B L AE2 S T +SANDBLASTED S AE1 N D - B L AE2 S - T IH0 D +SANDBOX S AE1 N D - B AA2 K S +SANDBURG S AE1 N D - B ER0 G +SANDE S AE1 N D +SANDED S AE1 N - D IH0 D +SANDEEN S AE1 N - D IY0 N +SANDEFER S AE1 N - D IY0 - F ER0 +SANDEFUR S AE1 N - D EH0 - F ER0 +SANDEL S AE1 N - D EH0 L +SANDELL S AE1 N - D EH0 L +SANDEN S AE1 N - D AH0 N +SANDER S AE1 N - D ER0 +SANDERFER S AE1 N - D ER0 - F ER0 +SANDERFORD S AE1 N - D ER0 - F AO0 R D +SANDERLIN S AE1 N - D ER0 - L IH0 N +SANDERS S AE1 N - D ER0 Z +SANDERS'S S AE1 N - D ER0 - Z IH0 Z +SANDERSON S AE1 N - D ER0 - S AH0 N +SANDFORD S AE1 N D - F ER0 D +SANDGREN S AE1 N D - G R EH0 N +SANDHILL S AE1 N D - HH IH2 L +SANDHOG S AE1 N D - HH AO2 G +SANDHOGS S AE1 N D - HH AO2 G Z +SANDHU S AE1 N D - HH UW0 +SANDI S AE1 N - D IY0 +SANDIA S AE1 N - D IY0 - AH0 +SANDIDGE S AE1 N - D IH0 JH +SANDIE S AE1 N - D IY0 +SANDIFER S AE1 N - D AY0 - F ER0 +SANDIFORD S AE1 N - D IH0 - F ER0 D +SANDIN S AE1 N - D IH2 N +SANDING S AE1 N - D IH0 NG +SANDINISTA S AE2 N - D IH0 - N IH1 - S T AH0 +SANDINISTA(2) S AE2 N - D IH0 - N IY1 - S T AH0 +SANDINISTAS S AE2 N - D IH0 - N IY1 - S T AH0 Z +SANDINISTAS' S AE2 N - D IH0 - N IY1 - S T AH0 Z +SANDINO S AE0 N - D IY1 - N OW0 +SANDINO'S S AE0 N - D IY1 - N OW0 Z +SANDLER S AE1 N D - L ER0 +SANDLIN S AE1 N D - L IH0 N +SANDLING S AE1 D - L IH0 NG +SANDMAN S AE1 N D - M AE2 N +SANDMANN S AE1 N D - M AH0 N +SANDMEYER S AE1 N D - M AY0 - ER0 +SANDNER S AE1 N D - N ER0 +SANDNESS S AE1 N D - N AH0 S +SANDO S AE1 N - D OW0 +SANDOM S AE1 N - D AH0 M +SANDON S AE1 N - D AO2 N +SANDOR S AE1 N - D ER0 +SANDOS S AE1 N - D OW0 Z +SANDOS(2) S AE1 N - D OW0 S +SANDOSE S AE1 N - D OW0 Z +SANDOVAL S AE1 N - D OW2 - V AH0 L +SANDOW S AE1 N - D OW0 +SANDOZ S AE1 N - D OW0 Z +SANDOZ'S S AE1 N - D AH0 - Z IH0 Z +SANDPAPER S AE1 N D - P EY2 - P ER0 +SANDPOINT S AE1 N D - P OY2 N T +SANDQUIST S AE1 N D - K W IH2 S T +SANDRA S AE1 N - D R AH0 +SANDRIDGE S AE1 N - D R IH2 JH +SANDRO S AE1 N - D R OW0 +SANDROCK S AE1 N - D R AA2 K +SANDS S AE1 N D Z +SANDSTONE S AE1 N D - S T OW2 N +SANDSTONE(2) S AE1 N - S T OW2 N +SANDSTORM S AE1 N D - S T AO2 R M +SANDSTORMS S AE1 N D - S T AO2 R M Z +SANDSTROM S AE1 N D - S T R AH0 M +SANDT S AE1 N T +SANDTOWN S AE1 N D - T AW2 N +SANDTOWN(2) S AE1 N - T AW2 N +SANDUSKY S AE0 N - D AH1 S - K IY0 +SANDVIG S AE1 N D - V IH2 G +SANDVIK S AE1 N D - V IH0 K +SANDWICH S AE1 N D - W IH0 CH +SANDWICH(2) S AE1 N - W IH0 CH +SANDWICH(3) S AE1 M - W IH0 CH +SANDWICHED S AE1 N D - W IH2 CH T +SANDWICHED(2) S AE1 N - W IH2 CH T +SANDWICHED(3) S AE1 M - W IH2 CH T +SANDWICHES S AE1 N D - W IH0 - CH IH0 Z +SANDWICHES(2) S AE1 N - W IH0 - CH IH0 Z +SANDWICHES(3) S AE1 M - W IH0 - CH IH0 Z +SANDWICK S AE1 N D - W IH2 K +SANDY S AE1 N - D IY0 +SANDY'S S AE1 N - D IY0 Z +SANE S EY1 N +SANER S EY1 - N ER0 +SANFILIPPO S AE2 N - F IH0 - L IH1 - P OW0 +SANFORD S AE1 N - F ER0 D +SANFORD'S S AE1 N - F ER0 D Z +SANG S AE1 NG +SANG-GON S AA1 NG - G AO1 N +SANGER S AE1 - NG ER0 +SANGIOVESE S AE2 N - JH IY1 - OW0 - V IY2 S +SANGSTER S AE1 NG - S T ER0 +SANGUINE S AE1 NG - G W IH0 N +SANGUINETTI S AA0 - NG IY0 - N EH1 - T IY0 +SANGYO S AE1 N - JH Y OW0 +SANI S AE1 - N IY0 +SANI(2) S AE1 - N IH0 +SANITARY S AE1 - N IH0 - T EH2 - R IY0 +SANITATION S AE2 - N AH0 - T EY1 - SH AH0 N +SANITATION(2) S AE2 - N IH0 - T EY1 - SH AH0 N +SANITIZE S AE1 - N IH0 - T AY2 Z +SANITIZED S AE1 - N IH0 - T AY2 Z D +SANITIZING S AE1 - N AH0 - T AY2 - Z IH0 NG +SANITY S AE1 - N AH0 - T IY0 +SANJAY S AE1 N - JH EY0 +SANJIV S AA2 N - JH IY1 V +SANJUAN S AA0 - N Y UW0 - AA1 N +SANK S AE1 NG K +SANKA S AE1 NG - K AH0 +SANKEI S AE1 NG - K IY0 +SANKER S AE1 NG - K ER0 +SANKEY S AE1 NG - K IY0 +SANKO S AE1 NG - K OW0 +SANKS S AE1 NG K S +SANKYO S AE1 NG - K Y OW0 +SANMARK S AE1 N - M AA2 R K +SANMARTIN S AE1 N - M AA0 R - T IH0 N +SANMIGUEL S AA0 N - M IY0 - G EH1 L +SANNA S AE1 - N AH0 +SANNER S AE1 - N ER0 +SANNES S AE1 N Z +SANO S AA1 - N OW0 +SANOFI S AH0 - N OW1 - F IY0 +SANRIO S AE1 N - R IY0 - OW0 +SANS S AE1 N Z +SANSBURY S AE1 N S - B EH0 - R IY0 +SANSEVERINO S AA0 N - S EH0 - V ER0 - IY1 - N OW0 +SANSING S AE1 N - S IH0 NG +SANSKRIT S AE1 N - S K R IH0 T +SANSO S AE1 N - S OW0 +SANSOM S AE1 N - S AH0 M +SANSON S AE1 N - S AH0 N +SANSONE S AE1 N - S AH0 N +SANSOUCIE S AE1 N - S OW0 - K IY0 +SANSUI S AE0 N - S UW1 - IY0 +SANSUI'S S AE0 N - S UW1 - IY0 Z +SANT S AE1 N T +SANTA S AE1 N - T AH0 +SANTA'S S AE1 N - T AH0 +SANTA'S(2) S AE1 - N AH0 +SANTA(2) S AE1 - N AH0 +SANTA-CROCE S AE1 N - T AH0 - K R OW1 - CH IY0 +SANTA-CROCE(2) S AE1 - N AH0 - K R OW1 - CH IY0 +SANTA-CRUZ S AE1 N - T AH0 - K R UW1 Z +SANTA-CRUZ(2) S AE1 - N AH0 - K R UW1 Z +SANTA-FE S AE1 N - T AH0 - F EY1 +SANTA-FE'S S AE1 N - T AH0 - F EY1 Z +SANTA-FE'S(2) S AE1 - N AH0 - F EY1 Z +SANTA-FE(2) S AE1 - N AH0 - F EY1 +SANTA-MARIA S AE1 N - T AH0 - M ER0 - IY1 - AH0 +SANTA-MARIA(2) S AE1 - N AH0 - M ER0 - IY1 - AH0 +SANTAGATA S AA0 N - T AA0 - G AA1 - T AH0 +SANTALA S AE0 N - T AA1 - L AH0 +SANTANA S AE0 N - T AE1 - N AH0 +SANTANDER S AE2 N - T AE1 N - D ER0 +SANTANGELO S AA0 N - T AA0 NG - G EH1 - L OW0 +SANTANIELLO S AA0 N - T AA0 - N IY0 - EH1 - L OW0 +SANTARELLI S AA0 N - T AA0 - R EH1 - L IY0 +SANTARSIERO S AA0 N - T AA0 R - S IH1 - R OW0 +SANTAS S AE1 N - T AH0 S +SANTAYANA S AE0 N - T AY2 - AA1 - N AH0 +SANTE S AE1 N - T AH0 +SANTELLA S AA0 N - T EH1 - L AH0 +SANTELLI S AA0 N - T EH1 - L IY0 +SANTER S AE1 N - T ER0 +SANTERIA S AE2 N - T EH1 - R IY0 - AH0 +SANTERRE S AE0 N - T EH1 R +SANTI S AE1 N - T IY0 +SANTIAGO S AE2 N - T IY0 - AA1 - G OW0 +SANTIESTEBAN S AE1 N - T IY0 - S T IH0 - B AH0 N +SANTILLAN S AE2 N - T IH1 - L AH0 N +SANTILLANES S AE1 N - T IH0 - L EY2 N Z +SANTILLI S AA0 N - T IY1 - L IY0 +SANTILLO S AE2 N - T IH1 - L OW0 +SANTIN S AE1 N - T IH0 N +SANTINI S AE0 N - T IY1 - N IY0 +SANTINO S AA0 N - T IY1 - N OW0 +SANTISTEVAN S AA0 N - T IY0 - S T EY0 - V AA1 N +SANTO S AE1 N - T OW0 +SANTON S AE1 N - T AH0 N +SANTONE S AA0 N - T OW1 - N IY0 +SANTONI S AA0 N - T OW1 - N IY0 +SANTOPIETRO S AA0 N - T OW0 - P IY1 - T R OW0 +SANTOR S AE1 N - T ER0 +SANTORA S AA0 N - T AO1 - R AH0 +SANTORE S AA0 N - T AO1 - R IY0 +SANTORELLI S AA0 N - T AO0 - R EH1 - L IY0 +SANTORO S AE0 N - T AO1 - R OW0 +SANTORUM S AE0 N - T AO1 - R AH0 M +SANTORUM'S S AE0 N - T AO1 - R AH0 M Z +SANTOS S AE1 N - T OW0 S +SANTOSH S AA1 N - T AA2 SH +SANTOSUOSSO S AA0 N - T OW0 - S W OW1 - S OW0 +SANTOW S AE1 N - T OW0 +SANTOYO S AA0 N - T OW1 - Y OW0 +SANTRY S AE1 N - T R IY0 +SANTUCCI S AA0 N - T UW1 - CH IY0 +SANTULLI S AA0 N - T UW1 - L IY0 +SANTY S AE1 N - T IY0 +SANVILLE S AA1 N - V IH0 L +SANWA S AE1 - N W AH0 +SANWA'S S AE1 - N W AH0 Z +SANYO S AA1 - N Y OW0 +SANZ S AE1 N Z +SANZO S AE1 N - Z OW0 +SANZONE S AA0 N - Z OW1 - N IY0 +SAO S AW1 +SAONE S EY1 - OW2 N +SAOUMA S AW2 - Y UW1 - M AH0 +SAP S AE1 P +SAPANSKI S AH0 - P AE1 N S - K IY0 +SAPERSTEIN S EY1 - P ER0 - S T AY0 N +SAPERSTEIN(2) S EY1 - P ER0 - S T IY0 N +SAPHIRA S AA0 - F IH1 - R AH0 +SAPIA S AA1 - P IY0 - AH0 +SAPIEN S AE1 - P IY0 N +SAPIENS S EY1 - P IY0 - AH0 N Z +SAPIENZA S AA0 - P IY1 N - Z AH0 +SAPIRO S AH0 - P IH1 - R OW0 +SAPLING S AE1 P - L IH0 NG +SAPLINGS S AE1 P - L IH0 NG Z +SAPOA S AH0 - P OW1 - AH0 +SAPONE S AA0 - P OW1 - N IY0 +SAPONIFICATION S AH0 - P AA2 - N AH0 - F AH0 - K EY1 - SH AH0 N +SAPORITO S AA0 - P AO0 - R IY1 - T OW0 +SAPP S AE1 P +SAPPED S AE1 P T +SAPPENFIELD S AH0 - P EH1 N - F IY0 L D +SAPPER S AE1 - P ER0 +SAPPHIRE S AE1 - F AY0 - ER0 +SAPPING S AE1 - P IH0 NG +SAPPINGTON S AE1 - P IH0 NG - T AH0 N +SAPPORO S AH0 - P AO1 - R OW0 +SAPS S AE1 P S +SAPUTO S AA0 - P UW1 - T OW0 +SAR S AA1 R +SARA S EH1 - R AH0 +SARA'S S EH1 - R AH0 Z +SARABIA S ER0 - EY1 - B IY0 - AH0 +SARACCO S AA0 - R AA1 - K OW0 +SARACENI S AA0 - R AA0 - CH EH1 - N IY0 +SARACENO S AA0 - R AA0 - CH EH1 - N OW0 +SARACENS S EH1 - R AH0 - S AH0 N Z +SARACINO S AA0 - R AA0 - CH IY1 - N OW0 +SARAFIAN S ER0 - EY1 - F IY0 - AH0 N +SARAFIN S AE1 - R AH0 - F IH0 N +SARAFINA S AE2 - R AH0 - F IY1 - N AH0 +SARAGE S AE1 - R AH0 JH +SARAGE'S S AE1 - R AH0 - JH IH0 Z +SARAH S EH1 - R AH0 +SARAH'S S EH1 - R AH0 Z +SARAJEVAN S AA2 - R AH0 - Y EY1 - V AH0 N +SARAJEVAN'S S AA2 - R AH0 - Y EY1 - V AH0 N Z +SARAJEVANS S AA2 - R AH0 - Y EY1 - V AH0 N Z +SARAJEVO S AA2 - R AH0 - Y EY1 - V OW0 +SARAJEVO'S S AA2 - R AH0 - Y EY1 - V OW0 Z +SARAN S ER0 - AE1 N +SARANDON S EH1 - R AH0 N - D IH0 N +SARANDON(2) S EH2 - R AE1 N - D IH0 N +SARANT S AE1 - R AH0 N T +SARASIN S EH1 - R IH0 - S IH0 N +SARASOTA S EH2 - R AH0 - S OW1 - T AH0 +SARATOGA S EH2 - R AH0 - T OW1 - G AH0 +SARATOV S EH1 - R AH0 - T AO2 V +SARATOV(2) S EH1 - R AH0 - T AO2 F +SARAVIA S ER0 - EY1 - V IY0 - AH0 +SARAWAK S EH1 - R AH0 - W AA0 K +SARAZEN S EH1 - R AH0 - Z AH0 N +SARAZIN S AA0 - R AA0 - Z IY1 N +SARBANE S AA1 R - B EY2 N +SARBANES S AA1 R - B EY2 N Z +SARBER S AA1 R - B ER0 +SARCASM S AA1 R - K AE2 - Z AH0 M +SARCASTIC S AA0 R - K AE1 - S T IH0 K +SARCASTICALLY S AA0 R - K AE1 - S T IH0 K - L IY0 +SARCHET S AA0 R - SH EH1 T +SARCOMA S AA0 R - K OW1 - M ER0 +SARCOPHAGUS S AA0 R - K AA1 - F AH0 - G AH0 S +SARDAS S AA1 R - D AH0 S +SARDELLA S AA2 R - D EH1 - L AH0 +SARDINA S AA0 R - D IY1 - N AH0 +SARDINAS S AA1 R - D IH0 - N AH0 Z +SARDINE S AA0 R - D IY1 N +SARDINES S AA0 R - D IY1 N Z +SARDINHA S AA2 R - D IH1 N - HH AH0 +SARDINIA S AA0 R - D IY1 - N IY0 - AH0 +SARDO S AA1 R - D OW0 +SARDONIC S AA0 R - D AA1 - N IH0 K +SARDONICALLY S AA0 R - D AA1 - N IH0 - K AH0 - L IY0 +SARDONICALLY(2) S AA0 R - D AA1 - N IH0 K - L IY0 +SARE S EH1 R +SAREJEVO S AA2 - R AH0 - Y EY1 - V OW0 +SAREJEVO'S S AA2 - R AH0 - Y EY1 - V OW0 Z +SARENE S ER0 - IY1 N +SARETTE S ER0 - EH1 T +SARFF S AA1 R F +SARGASSO S AA0 R - G AE1 - S OW0 +SARGE S AA1 R JH +SARGEANT S AA1 R - JH AH0 N T +SARGEN S AA1 R - G AH0 N +SARGENT S AA1 R - JH AH0 N T +SARGIS S AA1 R - G IH0 S +SARI S AA1 - R IY0 +SARI'S S AA1 - R IY0 Z +SARICH S AE1 - R IH0 K +SARIN S AA0 - R IH0 N +SARINE S AA0 - R IY1 - N IY0 +SARIS S AA1 - R IY0 Z +SARISI S AH0 - R IY1 - S IY0 +SARK S AA1 R K +SARKA S AA1 R - K AH0 +SARKAR S AA1 R - K AA2 R +SARKIS S AA1 R - K IH0 S +SARKISIAN S AA0 R - K IH1 - ZH IH0 N +SARKISSIAN S AA0 R - K IH1 S - ZH IH0 N +SARLES S AA1 R L Z +SARLI S AA1 R - L IY0 +SARLO S AA1 R - L OW0 +SARLOS S AA1 R - L OW0 S +SARMATIAN S AA0 R - M EY1 - SH AH0 N +SARMENTO S AA0 R - M EH1 N - T OW0 +SARMIENTO S AA0 R - M IY1 N - T OW0 +SARNA S AA1 R - N AH0 +SARNEY S AA1 R - N IY0 +SARNEY'S S AA1 R - N IY0 Z +SARNI S AA1 R - N IY0 +SARNO S AA1 R - N OW0 +SARNOFF S AA1 R - N AO0 F +SARNOWSKI S ER0 - N AO1 F S - K IY0 +SAROFIM S EH2 - R AH0 - F IY1 M +SAROKIN S EH1 - R AH0 - K IH0 N +SARONG S ER0 - AO1 NG +SARONGS S ER0 - AO1 NG Z +SAROS S AA1 - R OW0 S +SARRA S AA1 - R AH0 +SARRATT S ER0 - AE1 T +SARRAZIN S AA1 - R AH0 - Z IH0 N +SARRETT S AE1 - R IH0 T +SARRIS S AE1 - R IH0 S +SARRO S AA1 - R OW0 +SARS S AA1 R Z +SARSFIELD S AA1 R S - F IY0 L D +SARTAIN S AA0 R - T EY1 N +SARTI S AA1 R - T IY0 +SARTIN S AA1 R - T IH0 N +SARTOR S AA1 R - T ER0 +SARTORI S AA0 R - T AO1 - R IY0 +SARTORIAL S AA0 R - T AO1 - R IY0 - AH0 L +SARTORIUS S AA0 R - T AO1 - R IY0 - IH0 S +SARTRAIN S AA1 R - T R EY2 N +SARTRE S AA1 R - T R AH0 +SARTWELL S AA1 R T - W EH2 L +SARUM S AE1 - R AH0 M +SARVER S AA1 R - V ER0 +SARVIS S AA1 R - V IH0 S +SAS S AE1 S +SASAKI S AA0 - S AA1 - K IY0 +SASAYAMA S AE2 - S AH0 - Y AA1 - M AH0 +SASEK S AE1 - S IH0 K +SASH S AE1 SH +SASHA S AE1 - SH AH0 +SASHES S AE1 - SH IH0 Z +SASKATCHEWAN S AE0 - S K AE1 - CH AH0 - W AO2 N +SASKATOON S AE1 S - K AH0 - T UW2 N +SASLOW S AE1 - S L OW0 +SASNETT S AE1 S - N IH0 T +SASS S AE1 S +SASSAFRAS S AE1 - S AH0 - F R AE2 S +SASSAFRAS'S S AE1 - S AH0 - F R AE2 - S AH0 Z +SASSAFRAS'S(2) S AE1 - S AH0 - F R AE2 - S IH0 Z +SASSAMAN S AE1 - S AH0 - M AH0 N +SASSANO S AA0 - S AA1 - N OW0 +SASSE S AE1 S +SASSEEN S AE1 - S IY0 N +SASSER S AE1 - S ER0 +SASSER'S S AE1 - S ER0 Z +SASSI S AE1 - S IY0 +SASSMAN S AE1 S - M AH0 N +SASSNET S AE1 S - N EH2 T +SASSNET'S S AE1 S - N EH2 T S +SASSNETS S AE1 S - N EH2 T S +SASSO S AE1 - S OW0 +SASSON S AE1 - S AH0 N +SASSONE S AA0 - S OW1 - N IY0 +SASSOON S AH0 - S UW1 N +SASSULO S AH0 - S UW1 - L OW0 +SASSY S AE1 - S IY0 +SASSY'S S AE1 - S IY0 Z +SAT S AE1 T +SATAGAJ S AE1 - T AH0 - G AY2 +SATAN S EY1 - T AH0 N +SATANIC S AH0 - T AE1 - N IH0 K +SATANISM S EY1 - T AH0 - N IH2 - Z AH0 M +SATANIST S EY1 - T AH0 - N IH0 S T +SATCHELL S AE1 - CH AH0 L +SATCHER S AE1 - CH ER0 +SATE S EY1 T +SATED S EY1 - T IH0 D +SATELLITE S AE1 - T AH0 - L AY2 T +SATELLITE'S S AE1 - T AH0 - L AY2 T S +SATELLITES S AE1 - T AH0 - L AY2 T S +SATER S AE1 - T ER0 +SATES S EY1 T S +SATHER S AE1 - DH ER0 +SATHRE S AE1 - TH ER0 +SATHYAVAGISWARAN S AE0 - TH Y AH0 - V AA2 - G IH0 - S W AA2 - R AH0 N +SATIN S AE1 - T AH0 N +SATIRE S AE1 - T AY2 - ER0 +SATIRES S AE1 - T AY2 - ER0 Z +SATIRIC S AH0 - T IH1 - R IH0 K +SATIRICAL S AH0 - T IH1 - R AH0 - K AH0 L +SATIRICAL(2) S AH0 - T IH1 - R IH0 - K AH0 L +SATIRIST S AE1 - T ER0 - AH0 S T +SATIRISTS S AE1 - T ER0 - AH0 S T S +SATIRISTS(2) S AE1 - T ER0 - AH0 S S +SATIRISTS(3) S AE1 - T ER0 - AH0 S +SATIRIZE S AE1 - T ER0 - AY2 Z +SATIRIZES S AE1 - T ER0 - AY2 - Z IH0 Z +SATIRIZING S AE1 - T ER0 - AY2 - Z IH0 NG +SATISFACTION S AE2 - T AH0 S - F AE1 K - SH AH0 N +SATISFACTION(2) S AE2 - T IH0 S - F AE1 K - SH AH0 N +SATISFACTIONS S AE2 - T AH0 S - F AE1 K - SH AH0 N Z +SATISFACTORILY S AE2 - T IH0 S - F AE1 K - T R AH0 - L IY0 +SATISFACTORY S AE2 - T AH0 S - F AE1 K - T R IY0 +SATISFACTORY(2) S AE2 - T IH0 S - F AE1 K - T ER0 - IY0 +SATISFIED S AE1 - T AH0 S - F AY2 D +SATISFIED(2) S AE1 - T IH0 S - F AY2 D +SATISFIES S AE1 - T IH0 S - F AY2 Z +SATISFY S AE1 - T AH0 S - F AY2 +SATISFY(2) S AE1 - T IH0 S - F AY2 +SATISFYING S AE1 - T IH0 S - F AY2 - IH0 NG +SATLOFF S AE1 T - L AO2 F +SATO S AA1 - T OW0 +SATOH S AA1 - T OW0 +SATOSHI S AA0 - T OW1 - SH IY0 +SATRE S EY1 - T ER0 +SATRIANI S AE2 - T R IY0 - AA1 - N IY0 +SATTER S AE1 - T ER0 +SATTERFIELD S AE1 - T ER0 - F IY1 L D +SATTERLEE S AE1 - T ER0 - L IY1 +SATTERLY S AE1 - T ER0 - L IY0 +SATTERWHITE S AE1 - T ER0 - W AY1 T +SATTLER S AE1 T - L ER0 +SATURATE S AE1 - CH ER0 - EY2 T +SATURATED S AE1 - CH ER0 - EY2 - T AH0 D +SATURATED(2) S AE1 - CH ER0 - EY2 - T IH0 D +SATURATING S AE1 - CH ER0 - EY2 - T IH0 NG +SATURATION S AE2 - CH ER0 - EY1 - SH AH0 N +SATURDAY S AE1 - T ER0 - D IY0 +SATURDAY'S S AE1 - T ER0 - D IY0 Z +SATURDAY'S(2) S AE1 - T ER0 - D EY0 Z +SATURDAY(2) S AE1 - T IH2 - D EY2 +SATURDAYS S AE1 - T ER0 - D IY0 Z +SATURDAYS(2) S AE1 - T ER0 - D EY0 Z +SATURN S AE1 - T ER0 N +SATURN'S S AE1 - T ER0 N Z +SATURNS S AE1 - T ER0 N Z +SATYA S AA1 - T Y AH0 +SATYANDRA S AA2 - T Y AA1 N - D R AH0 +SATZ S AE1 T S +SAUBER S AO1 - B ER0 +SAUCE S AO1 S +SAUCEDA S AW0 - S EY1 - D AH0 +SAUCEDO S AW0 - S EY1 - D OW0 +SAUCEPAN S AO1 S - P AE2 N +SAUCER S AO1 - S ER0 +SAUCERS S AO1 - S ER0 Z +SAUCES S AO1 - S AH0 Z +SAUCES(2) S AO1 - S IH0 Z +SAUCIER S AO1 - S IY0 - ER0 +SAUCY S AO1 - S IY0 +SAUD S AO1 D +SAUDER S AO1 - D ER0 +SAUDI S AO1 - D IY0 +SAUDI(2) S AW1 - D IY0 +SAUDIA S AO1 - D IY0 - AH0 +SAUDIA(2) S AW1 - D IY0 - AH0 +SAUDIS S AO1 - D IY0 Z +SAUDIS' S AO1 - D IY0 Z +SAUDIS'(2) S AW1 - D IY0 Z +SAUDIS(2) S AW1 - D IY0 Z +SAUER S AW1 - ER0 +SAUERKRAUT S AW1 - ER0 - K R AW2 T +SAUERS S AW1 - ER0 Z +SAUERTEIG S AW1 - ER0 - T EY2 G +SAUERWEIN S AW1 - ER0 - W AY0 N +SAUEY S AO1 - IY0 +SAUGERTIES S AO1 - G ER0 - T IY0 Z +SAUK S AO1 K +SAUL S AO1 L +SAULNIER S AW1 L - N IY0 - ER0 +SAULS S AO1 L Z +SAULSBERRY S AO1 L S - B EH2 - R IY0 +SAULSBURY S AO1 L S - B EH0 - R IY0 +SAULT S AO1 L T +SAULTER S AO1 L - T ER0 +SAULTERS S AW1 L - T ER0 Z +SAUM S AO1 M +SAUNA S AO1 - N AH0 +SAUNAS S AO1 - N AH0 Z +SAUNDERS S AO1 N - D ER0 Z +SAUNDERS' S AO1 N - D ER0 Z +SAUNDERS'S S AO1 N - D ER0 - Z IH0 Z +SAUNDERSON S AO1 N - D ER0 - S AH0 N +SAUNDRA S AO1 N - D R AH0 +SAUNDRA'S S AO1 N - D R AH0 Z +SAUNIER S AO1 - N IY0 - ER0 +SAUNTER S AO1 N - T ER0 +SAUR S AO1 R +SAURER S AW1 - ER0 R +SAURO S AO1 - R OW0 +SAUS S AO1 Z +SAUSAGE S AO1 - S AH0 JH +SAUSAGE(2) S AO1 - S IH0 JH +SAUSAGES S AO1 - S IH0 - JH IH0 Z +SAUSALITO S AO2 - S AH0 - L IY1 - T OW0 +SAUSE S AO1 Z +SAUSEDA S AW0 - S EY1 - D AH0 +SAUSER S AW1 - S ER0 +SAUSSER S AO1 - S ER0 +SAUTE S AO0 - T EY1 +SAUTEED S AO0 - T EY1 D +SAUTER S AO0 - T EY1 - ER0 +SAUTERNE S OW0 - T ER1 N +SAUTERNES S OW0 - T ER1 N Z +SAUTTER S AO1 - T ER0 +SAUVAGE S AO1 - V IH0 JH +SAUVAGEAU S OW1 - V AH0 - ZH OW0 +SAUVE S AO1 V +SAUVIGNON S AO2 - V IH1 N - Y AA0 N +SAVA S AA1 - V AH0 +SAVAGE S AE1 - V AH0 JH +SAVAGE(2) S AE1 - V IH0 JH +SAVAGED S AE1 - V IH0 JH D +SAVAGELY S AE1 - V IH0 JH - L IY0 +SAVAGERY S AE1 - V IH0 JH - EH2 - R IY0 +SAVAGES S AE1 - V AH0 - JH AH0 Z +SAVAGES(2) S AE1 - V IH0 - JH IH0 Z +SAVAGING S AE1 - V IH0 - JH IH0 NG +SAVAIKO S AH0 - V EY1 - K OW0 +SAVALA S AA0 - V AA1 - L AH0 +SAVALAS S AH0 - V AA1 - L AH0 S +SAVANNA S AH0 - V AE1 - N AH0 +SAVANNAH S AH0 - V AE1 - N AH0 +SAVANNAS S AH0 - V AE1 - N AH0 Z +SAVANT S AH0 - V AA1 N T +SAVANTS S AE1 - V AH0 N T S +SAVARD S AE1 - V ER0 D +SAVARESE S AA0 - V AA0 - R EY1 - Z IY0 +SAVARINO S AA0 - V AA0 - R IY1 - N OW0 +SAVARY S AE1 - V EH0 - R IY0 +SAVAS S AA1 - V AA0 Z +SAVASTA S AH0 - V AE1 - S T AH0 +SAVASTANO S AA0 - V AA0 - S T AA1 - N OW0 +SAVE S EY1 V +SAVE'S S EY1 V Z +SAVED S EY1 V D +SAVEDRA S AH0 - V EH1 - D R AH0 +SAVEL S AA0 - V EH1 L +SAVELL S AA0 - V EY1 L +SAVELY S EY1 V - L IY0 +SAVER S EY1 - V ER0 +SAVERS S EY1 - V ER0 Z +SAVERY S EY1 - V ER0 - IY0 +SAVES S EY1 V Z +SAVIANO S AA0 - V IY0 - AA1 - N OW0 +SAVICH S AE1 - V IH0 CH +SAVICKAS S AE1 - V IH0 - K AH0 Z +SAVIDGE S AE1 - V IH0 JH +SAVIER S EY1 - V Y ER0 +SAVIKAS S AH0 - V IY1 - K AH0 S +SAVILL S AA0 - V IY1 L +SAVILLE S AA1 - V IH0 L +SAVIMBI S AH0 - V IH1 M - B IY0 +SAVIN S AE1 - V IH0 N +SAVIN'S S AE1 - V IH0 N Z +SAVINA S AH0 - V IY1 - N AH0 +SAVING S EY1 - V IH0 NG +SAVINGS S EY1 - V IH0 NG Z +SAVINGS' S EY1 - V IH0 NG Z +SAVINGS'S S EY1 - V IH0 NG Z +SAVINGS'S(2) S EY1 - V IH0 NG - Z IH0 Z +SAVINI S AA0 - V IY1 - N IY0 +SAVINO S AA0 - V IY1 - N OW0 +SAVIO S AA1 - V IY0 - OW0 +SAVION S AE1 - V IY0 - AO0 N +SAVION(2) S AE1 - V Y AO0 N +SAVIOR S EY1 - V Y ER0 +SAVIOR'S S EY1 - V Y ER0 Z +SAVIORS S EY1 - V Y ER0 Z +SAVIR S EY1 - V ER0 +SAVIR(2) S AH0 - V IY1 R +SAVITCH S AE1 - V IH0 CH +SAVITSKY S AH0 - V IH1 T S - K IY0 +SAVITT S AH0 - V IH1 T +SAVITZ S AE1 - V IH0 T S +SAVKO S AE1 V - K OW0 +SAVO S AA1 - V OW0 +SAVOCA S AA0 - V OW1 - K AH0 +SAVOIA S AA0 - V OW1 - Y AH0 +SAVOIE S AA1 V - W AA0 +SAVON S EY1 - V AO0 N +SAVONA S AA0 - V OW1 - N AH0 +SAVOR S EY1 - V ER0 +SAVORED S EY1 - V ER0 D +SAVORING S EY1 - V ER0 - IH0 NG +SAVORS S EY1 - V ER0 Z +SAVORY S EY1 - V ER0 - IY0 +SAVOY S AH0 - V OY1 +SAVR S EY1 - V ER0 +SAVVIEST S AE1 - V IY0 - IH0 S T +SAVVY S AE1 - V IY0 +SAW S AO1 +SAWA S AO1 - W AH0 +SAWALL S AO1 - W AO0 L +SAWASDEE S AH0 - W AA1 Z - D IY0 +SAWATZKY S AH0 - W AA1 T S - K IY0 +SAWAYA S AO0 - W AA1 - Y AH0 +SAWCHUK S AO1 - CH AH0 K +SAWDEY S AO1 - D IY0 +SAWDON S AO1 - D AH0 N +SAWDUST S AO1 - D AH2 S T +SAWDY S AO1 - D IY0 +SAWED S AO1 D +SAWHILL S AO1 - HH IH2 L +SAWICKI S AO0 - IH1 T - S K IY0 +SAWICZ S AW1 - IH0 T S +SAWIN S AO1 - IY0 N +SAWING S AO1 - IH0 NG +SAWKA S AO1 - K AH0 +SAWMILL S AO1 - M IH2 L +SAWMILLS S AO1 - M IH2 L Z +SAWS S AO1 Z +SAWSHANK S AO1 - SH AE2 N K +SAWTELL S AO1 - T EH2 L +SAWTELLE S AO2 - T EH1 L +SAWYER S AO1 - Y ER0 +SAWYER'S S AO1 - Y ER0 Z +SAWYER(2) S OY1 - ER0 +SAWYERS S AO1 - Y ER0 Z +SAX S AE1 K S +SAXBY S AE1 K S - B IY0 +SAXE S AE1 K S +SAXENA S AE1 K - S IH0 - N AH0 +SAXER S AE1 K - S ER0 +SAXMAN S AE1 K S - M AH0 N +SAXON S AE1 K - S AH0 N +SAXON'S S AE1 K - S AH0 N Z +SAXONA S AE1 K - S AH0 - N AH0 +SAXONS S AE1 K - S AH0 N Z +SAXONY S AE1 K - S AH0 - N IY0 +SAXOPHONE S AE1 K - S AH0 - F OW2 N +SAXOPHONES S AE1 K - S AH0 - F OW2 N Z +SAXOPHONIST S AE1 K - S AH0 - F OW2 - N IH0 S T +SAXTON S AE1 K - S T AH0 N +SAY S EY1 +SAYAD S AY1 - AE0 D +SAYAD'S S AY1 - AE0 D Z +SAYBROOK S EY1 - B R UH2 K +SAYE S EY1 +SAYED S AA2 - Y EH1 D +SAYED(2) S EY2 - Y IH1 D +SAYED(3) S EY1 D +SAYEGH S EY1 - IH0 G +SAYER S EY1 - ER0 +SAYERS S EY1 - ER0 Z +SAYIN' S EY1 - IH0 N +SAYING S EY1 - IH0 NG +SAYINGS S EY1 - IH0 NG Z +SAYITO S AY0 - IY1 - T OW0 +SAYLE S EY1 L +SAYLER S EY1 - L ER0 +SAYLES S EY1 L Z +SAYLOR S EY1 - L ER0 +SAYLORS S EY1 - L ER0 Z +SAYRE S EH1 R +SAYRES S EH1 R Z +SAYS S EH1 Z +SAYS(2) S IH1 Z +SAYYID S AY1 - IH0 D +SAZAMA S AA0 - Z AA1 - M AH0 +SBARRO S B AA1 - R OW0 +SBF EH1 S - B IY1 - EH1 F +SCAB S K AE1 B +SCABBARD S K AE1 - B ER0 D +SCABS S K AE1 B Z +SCACCIA S K AA1 - CH AH0 +SCAD S K AE1 D +SCADDEN S K AE1 - D AH0 N +SCADS S K AE1 D Z +SCADUTO S K AA0 - D UW1 - T OW0 +SCAFF S K AE1 F +SCAFFIDI S K AA0 - F IY1 - D IY0 +SCAFFOLD S K AE1 - F AH0 L D +SCAFFOLDING S K AE1 - F AH0 L - D IH0 NG +SCAFFOLDS S K AE1 - F AH0 L D Z +SCAFIDI S K AA0 - F IY1 - D IY0 +SCAGGS S K AE1 G Z +SCAGLIONE S K AE2 G - L IY0 - OW1 - N IY0 +SCAGS S K AE1 G Z +SCAHILL S K EY1 - HH IH2 L +SCAIFE S K EY1 F +SCALA S K AA1 - L AH0 +SCALAMANDRE S K AA1 - L AH0 - M AA2 N - D ER0 +SCALAMANDRE(2) S K AE1 - L AH0 - M AE2 N - D ER0 +SCALAR S K EY1 - L ER0 +SCALD S K AO1 L D +SCALDED S K AO1 L - D IH0 D +SCALDING S K AO1 L - D IH0 NG +SCALDS S K AO1 L D Z +SCALE S K EY1 L +SCALEATRON S K EY1 - L IY0 - AH0 - T R AO0 N +SCALED S K EY1 L D +SCALERA S K AA0 - L EH1 - R AH0 +SCALES S K EY1 L Z +SCALESE S K AA0 - L EY1 - Z IY0 +SCALF S K AE1 L F +SCALFARO S K AE2 L - F AA1 - R OW0 +SCALI S K AA1 - L IY0 +SCALI(2) S K EY1 - L IY0 +SCALIA S K AA1 - L IY0 - AH0 +SCALIA'S S K AA1 - L IY0 - AH0 Z +SCALIA'S(2) S K AA1 - L Y AH0 Z +SCALIA(2) S K AA1 - L Y AH0 +SCALING S K EY1 - L IH0 NG +SCALISE S K AA1 - L AY0 Z +SCALISI S K AA0 - L IY1 - S IY0 +SCALLAN S K AE1 - L AH0 N +SCALLION S K AE1 - L Y AH0 N +SCALLIONS S K AE1 - L Y AH0 N Z +SCALLON S K AE1 - L AH0 N +SCALLOP S K AE1 - L AH0 P +SCALLOPED S K AA1 - L AH0 P T +SCALLOPS S K AE1 - L AH0 P S +SCALLY S K AE1 - L IY0 +SCALP S K AE1 L P +SCALPED S K AE1 L P T +SCALPEL S K AE1 L - P AH0 L +SCALPELS S K AE1 L - P AH0 L Z +SCALPER S K AE1 L - P ER0 +SCALPERS S K AE1 L - P ER0 Z +SCALPING S K AE1 L - P IH0 NG +SCALPS S K AE1 L P S +SCALZI S K AA1 L - Z IY0 +SCALZITTI S K AA0 L - Z IY1 - T IY0 +SCALZO S K AA1 L - Z OW0 +SCAM S K AE1 M +SCAMMED S K AE1 M D +SCAMMELL S K AE1 - M AH0 L +SCAMMER S K AE1 - M ER0 +SCAMMERS S K AE1 - M ER0 Z +SCAMMON S K AE1 - M AH0 N +SCAMPER S K AE1 M - P ER0 +SCAMPERED S K AE1 M - P ER0 D +SCAMPERING S K AE1 M - P ER0 - IH0 NG +SCAMS S K AE1 M Z +SCAN S K AE1 N +SCANDAL S K AE1 N - D AH0 L +SCANDAL'S S K AE1 N - D AH0 L Z +SCANDALIZE S K AE1 N - D AH0 - L AY2 Z +SCANDALIZED S K AE1 N - D AH0 - L AY2 Z D +SCANDALOUS S K AE1 N - D AH0 - L AH0 S +SCANDALS S K AE1 N - D AH0 L Z +SCANDIA S K AE1 N - D IY0 - AH0 +SCANDINAVIA S K AE2 N - D IH0 - N EY1 - V IY0 - AH0 +SCANDINAVIA'S S K AE2 N - D IH0 - N EY1 - V IY0 - AH0 Z +SCANDINAVIAN S K AE2 N - D IH0 - N EY1 - V IY0 - AH0 N +SCANDINAVIANS S K AE2 N - D IH0 - N EY1 - V IY0 - AH0 N Z +SCANIA S K AA1 - N IY0 - AH0 +SCANLAN S K AE1 N - L AH0 N +SCANLAND S K AE1 N - L AH0 N D +SCANLIN S K AE1 N - L IH0 N +SCANLON S K AE1 N - L AH0 N +SCANLON'S S K AE1 N - L AH0 N Z +SCANNED S K AE1 N D +SCANNELL S K AE1 - N AH0 L +SCANNER S K AE1 - N ER0 +SCANNERS S K AE1 - N ER0 Z +SCANNING S K AE1 - N IH0 NG +SCANS S K AE1 N Z +SCANT S K AE1 N T +SCANTILY S K AE1 N - T AH0 - L IY0 +SCANTINESS S K AE1 N - T IY0 - N AH0 S +SCANTLIN S K AE1 N T - L IH0 N +SCANTY S K AE1 N - T IY0 +SCAPA S K AA1 - P AH0 +SCAPE S K EY1 P +SCAPEGOAT S K EY1 P - G OW2 T +SCAPEGOATED S K EY1 P - G OW2 - T IH0 D +SCAPEGOATING S K EY1 P - G OW2 - T IH0 NG +SCAPEGOATS S K EY1 P - G OW2 T S +SCAPULA S K AE1 - P Y AH0 - L AH0 +SCAR S K AA1 R +SCARAMOUCH S K AE1 - R AH0 - M AW2 CH +SCARANO S K AA0 - R AA1 - N OW0 +SCARBERRY S K AA1 R - B EH2 - R IY0 +SCARBOROUGH S K AA1 R - B ER2 - OW0 +SCARBRO S K AA1 R - B R OW0 +SCARBROUGH S K AA1 R - B R AW0 +SCARCE S K EH1 R S +SCARCELLA S K AA2 R - S EH1 - L AH0 +SCARCELY S K EH1 R S - L IY0 +SCARCER S K EH1 R - S ER0 +SCARCITY S K EH1 R - S IH0 - T IY0 +SCARDINA S K AA0 R - D IY1 - N AH0 +SCARDINO S K AA0 R - D IY1 - N OW0 +SCARE S K EH1 R +SCARECROW S K AE1 R - K R OW0 +SCARED S K EH1 R D +SCARES S K EH1 R Z +SCARF S K AA1 R F +SCARFACE S K AA1 R - F EY2 S +SCARFF S K AA1 R F +SCARFO S K AA1 R - F OW0 +SCARFS S K AA1 R F S +SCARGILL S K AA1 R - G IH2 L +SCARIER S K EH1 - R IY0 - ER0 +SCARIEST S K EH1 - R IY0 - AH0 S T +SCARING S K EH1 - R IH0 NG +SCARLATA S K AA0 R - L AA1 - T AH0 +SCARLET S K AA1 R - L AH0 T +SCARLETT S K AA1 R - L IH0 T +SCAROLA S K AA0 - R OW1 - L AH0 +SCARP S K AA1 R P +SCARPA S K AA1 R - P AH0 +SCARPATI S K AA0 R - P AA1 - T IY0 +SCARPELLI S K AA0 R - P EH1 - L IY0 +SCARPELLO S K AA2 R - P EH1 - L OW0 +SCARPINATTO S K AA2 R - P IH0 - N AA1 - T OW0 +SCARPINO S K AA0 R - P IY1 - N OW0 +SCARPONE S K AA0 R - P OW1 - N IY0 +SCARPULLA S K AA2 R - P UH1 - L AH0 +SCARRED S K AA1 R D +SCARRING S K AA1 - R IH0 NG +SCARRY S K AE1 - R IY0 +SCARS S K AA1 R Z +SCARSDALE S K AA1 R Z - D EY2 L +SCARSELLA S K AA2 R - S EH1 - L AH0 +SCARVES S K AA1 R V Z +SCARY S K EH1 - R IY0 +SCAT S K AE1 T +SCATENA S K AA0 - T EH1 - N AH0 +SCATES S K EY1 T S +SCATHING S K EY1 - DH IH0 NG +SCATTER S K AE1 - T ER0 +SCATTERED S K AE1 - T ER0 D +SCATTERGOOD S K AE1 - T ER0 - G UH2 D +SCATTERGORIES S K AE1 - T ER0 - G AO2 - R IY0 Z +SCATTERGORY S K AE1 - T ER0 - G AO2 - R IY0 +SCATTERING S K AE1 - T ER0 - IH0 NG +SCATTERSHOT S K AE1 - T ER0 - SH AA2 T +SCATURRO S K AA0 - T UH1 - R OW0 +SCAVENGE S K AE1 - V AH0 N JH +SCAVENGER S K AE1 - V AH0 N - JH ER0 +SCAVENGERS S K AE1 - V AH0 N - JH ER0 Z +SCAVENGING S K AE1 - V AH0 N - JH IH0 NG +SCAVO S K AA1 - V OW0 +SCAVONE S K AH0 - V OW1 N +SCAVUZZO S K AA0 - V UW1 - Z OW0 +SCEARCE S ER1 S +SCENARIO S IH0 - N EH1 - R IY0 - OW0 +SCENARIOS S IH0 - N EH1 - R IY0 - OW0 Z +SCENE S IY1 N +SCENERIES S IY1 - N ER0 - IY0 Z +SCENERY S IY1 - N ER0 - IY0 +SCENES S IY1 N Z +SCENIC S IY1 - N IH0 K +SCENT S EH1 N T +SCENTED S EH1 N - T IH0 D +SCENTS S EH1 N T S +SCEPTRE S EH1 P - T ER0 +SCEPTRE(2) S K EH1 P - T ER0 +SCERBO S K EH1 R - B OW0 +SCHAAB SH AA1 B +SCHAACK SH AA1 K +SCHAAD SH AA1 D +SCHAADT SH AA1 T +SCHAAF SH AA1 F +SCHAAFSMA SH AA1 F S - M AH0 +SCHAAL SH AA1 L +SCHAAP SH AA1 P +SCHAAR SH AA1 R +SCHAB SH AE1 B +SCHABACKER SH AA1 - B AE2 - K ER0 +SCHABEL SH AE1 - B AH0 L +SCHABEN SH AE1 - B AH0 N +SCHABER SH EY1 - B ER0 +SCHABERG SH AA1 - B ER0 G +SCHABES SH EY1 B Z +SCHACHER SH AE1 - K ER0 +SCHACHNER SH AE1 K - N ER0 +SCHACHT SH AE1 K T +SCHACHTER SH AE1 K - T ER0 +SCHACK SH AE1 K +SCHAD SH AE1 D +SCHADE SH EY1 D +SCHADEL SH AE1 - D AH0 L +SCHADEN SH AE1 - D AH0 N +SCHADER SH EY1 - D ER0 +SCHADLER SH EY1 - D AH0 L - ER0 +SCHADLER(2) SH EY1 D - L ER0 +SCHADT SH AE1 T +SCHAECHER SH EH1 - K ER0 +SCHAEDEL SH EH1 - D AH0 L +SCHAEDLER SH EH1 - D AH0 - L ER0 +SCHAEDLER(2) SH EH1 D - L ER0 +SCHAEFER SH EY1 - F ER0 +SCHAEFERS SH EY1 - F ER0 Z +SCHAEFFER SH EH1 - F ER0 +SCHAEFFLER SH AE1 F - L ER0 +SCHAER SH AA1 - ER0 +SCHAFER SH EY1 - F ER0 +SCHAFF SH AE1 F +SCHAFFER SH EY1 - F ER0 +SCHAFFERT SH AE1 - F ER0 T +SCHAFFLER SH AE1 F - L ER0 +SCHAFFNER SH AE1 F - N ER0 +SCHAIBLE S K EY1 - B AH0 L +SCHAIRER SH AY1 - ER0 R +SCHAJA SH AA1 - JH AH0 +SCHAKE SH EY1 K +SCHALK SH AO1 K +SCHALL SH AO1 L +SCHALLER SH AO1 - L ER0 +SCHALLOCK SH AE1 - L AH0 K +SCHALOW SH AE1 - L OW0 +SCHAMA SH AA1 - M AH0 +SCHAMBER SH AE1 M - B ER0 +SCHAMBERGER SH AE1 M - B ER0 - G ER0 +SCHAMEL SH AE1 - M AH0 L +SCHAMP SH AE1 M P +SCHANBACHER SH AE1 N - B AA2 - K ER0 +SCHANCK SH AE1 NG K +SCHANER SH EY1 - N ER0 +SCHANK SH AE1 NG K +SCHANTZ SH AE1 N T S +SCHANZ SH AE1 N S +SCHAPER SH EY1 - P ER0 +SCHAPIRO SH AE1 - P AY0 - R OW0 +SCHAPP SH AE1 P +SCHAPPELL SH AE1 - P AH0 L +SCHAPPERT SH AE1 - P ER0 T +SCHAR SH AA1 R +SCHARA S K AE1 - R AH0 +SCHARDT SH AA1 R T +SCHARENBERG SH EH1 - R AH0 N - B ER0 G +SCHARER SH EH1 - R ER0 +SCHARF SH AA1 R F +SCHARFE S K AA1 R F +SCHARFENBERG SH AA1 R - F AH0 N - B ER0 G +SCHARFF SH AA1 R F +SCHARFFENBERGER SH AA1 R - F AH0 N - B ER0 - G ER0 +SCHARLAU SH AA1 R - L AW0 +SCHARNHORST SH AA1 R N - HH AO0 R S T +SCHARP SH AA1 R P +SCHARPF SH AA1 R P F +SCHARR SH AA1 R +SCHARRER SH AA1 - R ER0 +SCHARTZ SH AA1 R T S +SCHATTNER SH AE1 T - N ER0 +SCHATZ SH AE1 T S +SCHATZBERG SH AE1 T S - B ER0 G +SCHATZEL SH AE1 T - Z AH0 L +SCHATZMAN SH AE1 T Z - M AH0 N +SCHAU SH OW1 +SCHAUB SH AO1 B +SCHAUBLE SH OW1 - B AH0 L +SCHAUER SH AW1 - ER0 +SCHAUF SH AW1 F +SCHAUFLER SH AW1 - F AH0 L - ER0 +SCHAUFLER(2) SH AW1 F - L ER0 +SCHAUL SH OW1 L +SCHAUM SH OW1 M +SCHAUMBERG SH OW1 M - B ER0 G +SCHAUMBURG SH AW1 M - B ER0 G +SCHAUS S K HH AW1 S +SCHAUT SH OW1 T +SCHAVE SH EY1 V +SCHEAR SH IH1 R +SCHECHTER SH EH1 K - T ER0 +SCHECHTMAN SH EH1 K T - M AH0 N +SCHECK SH EH1 K +SCHECKEL SH EH1 - K AH0 L +SCHECTER SH EH1 K - T ER0 +SCHEDLER SH EH1 - D AH0 - L ER0 +SCHEDLER(2) SH EH1 D - L ER0 +SCHEDULE S K EH1 - JH UH0 L +SCHEDULE(2) S K EH1 - JH UW0 L +SCHEDULED S K EH1 - JH UH0 L D +SCHEDULED(2) S K EH1 - JH UW0 L D +SCHEDULER S K EH1 - JH UH0 - L ER0 +SCHEDULER(2) S K EH1 - JH UW0 - L ER0 +SCHEDULERS S K EH1 - JH UH0 - L ER0 Z +SCHEDULERS(2) S K EH1 - JH UW0 - L ER0 Z +SCHEDULES S K EH1 - JH UH0 L Z +SCHEDULES(2) S K EH1 - JH UW0 L Z +SCHEDULING S K EH1 - JH UH0 - L IH0 NG +SCHEDULING(2) S K EH1 - JH UW0 - L IH0 NG +SCHEEL SH IY1 L +SCHEELE SH IY1 L +SCHEELER SH IY1 - L ER0 +SCHEER SH IH1 R +SCHEERER SH IH1 - R ER0 +SCHEETS SH IY1 T S +SCHEETZ SH IY1 T S +SCHEFF SH EH1 F +SCHEFFEL SH EH1 - F AH0 L +SCHEFFER SH EH1 - F ER0 +SCHEFFLER SH EH1 - F AH0 - L ER0 +SCHEFFLER(2) SH EH1 F - L ER0 +SCHEHR SH EH1 R +SCHEIB SH AY1 B +SCHEIBE SH AY1 B +SCHEIBEL SH AY1 - B AH0 L +SCHEIBER SH AY1 - B ER0 +SCHEIBLE S K AY1 - B AH0 L +SCHEIBNER SH AY1 B - N ER0 +SCHEID SH AY1 D +SCHEIDECKER SH AY1 - D IH0 - K ER0 +SCHEIDEGGER SH AY1 - D IH0 - G ER0 +SCHEIDEL SH AY1 - D AH0 L +SCHEIDER SH AY1 - D ER0 +SCHEIDERER SH AY1 - D ER0 - ER0 +SCHEIDLER SH AY1 - D AH0 - L ER0 +SCHEIDLER(2) SH AY1 D - L ER0 +SCHEIDT SH AY1 T +SCHEIER SH AY1 - ER0 +SCHEIMAN SH AY1 - M AH0 N +SCHEIN SH AY1 N +SCHEINBERG SH AY1 N - B ER0 G +SCHEINER SH AY1 - N ER0 +SCHEIRER SH AY1 - ER0 R +SCHELER SH IY1 - L ER0 +SCHELIN SH EH1 - L IH0 N +SCHELL S K EH1 L +SCHELLENBERG SH EH1 - L AH0 N - B ER0 G +SCHELLENBERGER SH EH1 - L AH0 N - B ER0 - G ER0 +SCHELLENGER SH EH1 - L IH0 N - JH ER0 +SCHELLER S K EH1 - L ER0 +SCHELLHAMMER SH EH1 L - HH AH0 - M ER0 +SCHELLHASE SH EH1 L - HH AH0 S +SCHELLHORN SH EH1 L - HH ER0 N +SCHELLING S K EH1 - L IH0 NG +SCHELLINGER SH EH1 - L IH0 - NG ER0 +SCHEMATA S K IH0 - M AE1 - T AH0 +SCHEMATIC S K IH0 - M AE1 - T IH0 K +SCHEMBRI SH EH1 M - B R IY0 +SCHEME S K IY1 M +SCHEMED S K IY1 M D +SCHEMEL SH EH1 - M AH0 L +SCHEMER S K IY1 - M ER0 +SCHEMES S K IY1 M Z +SCHEMING S K IY1 - M IH0 NG +SCHEMM SH EH1 M +SCHEMMEL SH EH1 - M AH0 L +SCHEMPF SH EH1 M F +SCHEMPP SH EH1 M P +SCHENA SH IY1 - N AH0 +SCHENCK SH EH1 NG K +SCHENDEL SH EH1 N - D AH0 L +SCHENECTADY S K AH0 - N EH1 K - T AH0 - D IY0 +SCHENECTADY'S S K AH0 - N EH1 K - T AH0 - D IY0 Z +SCHENK SH EH1 NG K +SCHENKEL SH EH1 NG - K AH0 L +SCHENKEN SH EH1 NG - K AH0 N +SCHENKER SH EH1 NG - K ER0 +SCHENLEY SH EH1 N - L IY0 +SCHEPER SH IY1 - P ER0 +SCHEPERS SH IY1 - P ER0 Z +SCHEPIS SH EH1 - P IH0 S +SCHEPP SH EH1 P +SCHER SH ER1 +SCHERB SH ER1 B +SCHERBARTH SH ER1 - B AA0 R TH +SCHERER SH IH1 - R ER0 +SCHERER'S SH EH1 - R ER0 Z +SCHERF SH ER1 F +SCHERFF SH ER1 F +SCHERGER SH ER1 - G ER0 +SCHERING SH ER1 - IH0 NG +SCHERING'S SH EH1 - R IH0 NG Z +SCHERING(2) SH EH1 - R IH0 NG +SCHERLIS SH ER1 - L IH0 S +SCHERMAN SH ER1 - M AH0 N +SCHERMER SH ER1 - M ER0 +SCHERMERHORN SH ER1 - M ER0 - HH ER0 N +SCHERR SH EH1 R +SCHERRER SH EH1 - R ER0 +SCHERTZ SH ER1 T S +SCHERTZER SH ER1 T - S ER0 +SCHERZ SH ER1 Z +SCHERZER SH ER1 - Z ER0 +SCHERZINGER SH ER1 - Z IH0 - NG ER0 +SCHETTER SH EH1 - T ER0 +SCHETTINO SH EH1 - T IY0 - N OW0 +SCHETTLER SH EH1 - T AH0 L - ER0 +SCHETTLER(2) SH EH1 T - L ER0 +SCHEU SH OY1 +SCHEUER SH OY1 - ER0 +SCHEUERMAN SH OY1 - ER0 - M AH0 N +SCHEUERMANN SH OY1 - ER0 - M AH0 N +SCHEUFLER SH OY1 - F AH0 L - ER0 +SCHEUFLER(2) SH OY1 F - L ER0 +SCHEUNEMANN SH OY1 N - M AH0 N +SCHEURER SH ER1 - ER0 +SCHEURICH SH OY1 - R IH0 K +SCHEURING SH ER1 - IH0 NG +SCHEVE SH IY1 V +SCHEWE SH Y UW1 +SCHEXNAYDER SH EH1 K S - N EY0 - D ER0 +SCHEXNIDER SH EH1 K S - N AY0 - D ER0 +SCHEY SH EY1 +SCHIANO S K IY0 - AA1 - N OW0 +SCHIAPPA S K IY0 - AA1 - P AH0 +SCHIAVI S K IY0 - AA1 - V IY0 +SCHIAVO S K IY0 - AA1 - V OW0 +SCHIAVO'S S K IY0 - AA1 - V OW0 Z +SCHIAVONE S K IY0 - AA0 - V OW1 - N IY0 +SCHIAVONI S K IY0 - AA0 - V OW1 - N IY0 +SCHICK SH IH1 K +SCHICKER SH IH1 - K ER0 +SCHICKLER SH IH1 - K AH0 - L ER0 +SCHICKLER(2) SH IH1 K - L ER0 +SCHICKLING SH IH1 - K AH0 L - IH0 NG +SCHICKLING(2) SH IH1 - K L IH0 NG +SCHIEBEL SH IY1 - B AH0 L +SCHIEBER SH IY1 - B ER0 +SCHIEFELBEIN SH IY1 - F IH0 L - B AY0 N +SCHIEFER SH IY1 - F ER0 +SCHIEFFELIN SH IY1 - F AH0 - L IH0 N +SCHIEFFER SH IY1 - F ER0 +SCHIEL SH IY1 L +SCHIELD SH IY1 L D +SCHIELE SH IY1 L +SCHIELKE SH IY1 L K +SCHIEMANN SH IY1 - M AH0 N +SCHIER SH AY1 - ER0 +SCHIEREN SH IH1 - R AH0 N +SCHIERL SH IH1 R L +SCHIESS SH IY1 S +SCHIESSER SH IY1 - S ER0 +SCHIEWE SH IY1 - W IY0 +SCHIFANO S K IY0 - F AA1 - N OW0 +SCHIFERON SH IH1 - F ER0 - AO2 N +SCHIFERON'S SH IH1 - F ER0 - AO2 N Z +SCHIFERON'S(2) SH IH1 F - R AO2 N Z +SCHIFERON(2) SH IH1 F - R AO2 N +SCHIFF SH IH1 F +SCHIFFBAUER SH IH1 F - B AW0 - ER0 +SCHIFFER SH IH1 - F ER0 +SCHIFFLER SH IH1 - F AH0 - L ER0 +SCHIFFLER(2) SH IH1 F - L ER0 +SCHIFFMAN SH IH1 F - M AH0 N +SCHIFFNER SH IH1 F - N ER0 +SCHILD SH AY1 L D +SCHILDER SH AY1 L - D ER0 +SCHILDKNECHT SH AY1 L D - K AH0 - N EH2 K T +SCHILDT SH IH1 L T +SCHILKE SH IH1 L K +SCHILL SH IH1 L +SCHILLACI S K IY0 - L AA1 - CH IY0 +SCHILLER SH IH1 - L ER0 +SCHILLER'S SH IH1 - L ER0 Z +SCHILLING SH IH1 - L IH0 NG +SCHILLING'S SH IH1 - L IH0 NG Z +SCHILLINGER SH IH1 - L IH0 - NG ER0 +SCHILLINGS SH IH1 - L IH0 NG Z +SCHILLO S K IH1 - L OW0 +SCHILT SH IH1 L T +SCHILTKNECHT SH IH1 L T - N EH2 K T +SCHILTZ SH IH1 L T S +SCHILZ SH IH1 L Z +SCHIMBERNI SH IH0 M - B ER1 - N IY0 +SCHIMEK SH IH1 - M IH0 K +SCHIMKE S K IH1 M K +SCHIMMEL SH IH1 - M AH0 L +SCHIMMELBUSCH SH IH1 - M AH0 L - B UH2 SH +SCHIMMING SH IH1 - M IH0 NG +SCHIMPF SH IH1 M P F +SCHINDEL SH IH1 N - D AH0 L +SCHINDLER SH IH1 N D - L ER0 +SCHINDLER'S SH IH1 N D - L ER0 Z +SCHINKE S K IH1 NG K +SCHINKEL SH IH1 NG - K AH0 L +SCHIPANI S K IY0 - P AA1 - N IY0 +SCHIPKE SH IH1 P - K IY0 +SCHIPPER SH IH1 - P ER0 +SCHIPPERS SH IH1 - P ER0 Z +SCHIRALDI S K IH0 - R AA1 L - D IY0 +SCHIRM SH ER1 M +SCHIRMER SH ER1 - M ER0 +SCHIRO S K IH1 - R OW0 +SCHIRTZINGER SH ER1 T - Z IH0 - NG ER0 +SCHISLER SH IH1 - S AH0 - L ER0 +SCHISLER(2) SH IH1 S - L ER0 +SCHISM S K IH1 - Z AH0 M +SCHISMS S K IH1 - Z AH0 M Z +SCHISSEL SH IH1 - S AH0 L +SCHISSLER SH IH1 - S AH0 - L ER0 +SCHISSLER(2) SH IH1 S - L ER0 +SCHIST SH IH1 S T +SCHISTS SH IH1 S T S +SCHIZOPHRENIA S K IH2 T - S AH0 - F R IY1 - N IY0 - AH0 +SCHIZOPHRENIC SH IH2 - Z AH0 - F R EH1 - N IH0 K +SCHLABACH SH L AE1 - B AA0 K +SCHLACHTER SH L AE1 K - T ER0 +SCHLACK SH L AE1 K +SCHLAFER SH L EY1 - F ER0 +SCHLAFLY SH L AE1 F - L IY0 +SCHLAG SH L AE1 G +SCHLAGEL SH L AE1 - G AH0 L +SCHLAGER SH L EY1 - G ER0 +SCHLAGETER SH L AE1 - G IY0 - T ER0 +SCHLAKE SH L EY1 K +SCHLANG SH L AE1 NG +SCHLANGEN SH L AE1 - NG AH0 N +SCHLANGER SH L AE1 - NG ER0 +SCHLARB SH L AA1 R B +SCHLATER SH L EY1 - T ER0 +SCHLATTER SH L AE1 - T ER0 +SCHLAUCH SH L AW1 K +SCHLECHT SH L EH1 K T +SCHLECHTER SH L EH1 K - T ER0 +SCHLEE SH L IY1 +SCHLEETER SH L IY1 - T ER0 +SCHLEGEL SH L EY1 - G AH0 L +SCHLEGELMILCH SH L EH1 - G IH0 L - M IH0 L K +SCHLEICH SH L AY1 K +SCHLEICHER SH L AY1 - K ER0 +SCHLEIF SH L AY1 F +SCHLEIFER SH L AY1 - F ER0 +SCHLEIGER SH L AY1 - G ER0 +SCHLEIMER SH L AY1 - M ER0 +SCHLEIN SH L AY1 N +SCHLEIS SH L AY1 Z +SCHLEMMER SH L EH1 - M ER0 +SCHLENDER SH L EH1 N - D ER0 +SCHLENKER SH L EH1 NG - K ER0 +SCHLEPP SH L EH1 P +SCHLERETH SH L EH1 - R IH0 TH +SCHLESINGER SH L EH1 - S IH0 N - JH ER0 +SCHLESSER SH L EH1 - S ER0 +SCHLESSINGER SH L EH1 - S IH0 N - JH ER0 +SCHLESWIG SH L EH1 S - W IH0 G +SCHLEY SH L EY1 +SCHLEYER SH L EY1 - ER0 +SCHLICHER SH L IH1 - K ER0 +SCHLICHT SH L IH1 K T +SCHLICHTER SH L IH1 K - T ER0 +SCHLICHTING SH L IH1 K - T IH0 NG +SCHLICK SH L IH1 K +SCHLICKER SH L IH1 - K ER0 +SCHLICT SH L IH1 K T +SCHLIE SH L IY1 +SCHLIEP SH L IY1 P +SCHLIEPER SH L IY1 - P ER0 +SCHLINK SH L IH1 NG K +SCHLITT SH L IH1 T +SCHLITTER SH L IH1 - T ER0 +SCHLITZ SH L IH1 T S +SCHLOBOHM SH L AA1 - B OW0 M +SCHLOCK SH L AA1 K +SCHLOEMER SH L OW1 - M ER0 +SCHLOESSER SH L AA1 - IH0 - S ER0 +SCHLOESSER(2) SH L AA1 - S ER0 +SCHLOSBERG SH L AA1 S - B ER0 G +SCHLOSS SH L AO1 S +SCHLOSSBERG SH L AO1 S - B ER0 G +SCHLOSSER SH L AO1 - S ER0 +SCHLOSSMAN SH L AO1 S - M AH0 N +SCHLOTT SH L AA1 T +SCHLOTTER SH L AA1 - T ER0 +SCHLOTTERBECK SH L AA1 - T ER0 - B EH0 K +SCHLOTTMAN SH L AA1 T - M AH0 N +SCHLOTZHAUER SH L AA1 T S - HH AW0 - ER0 +SCHLOUGH SH L AW1 +SCHLUETER SH L UH1 - T ER0 +SCHLUMBERGER SH L AH1 M - B ER0 - ZH EY2 +SCHLUMBERGER(2) SH L AH1 M - B ER0 - G ER0 +SCHLUND SH L AH1 N D +SCHLUP SH L AH1 P +SCHLUTER SH L UW1 - T ER0 +SCHMADER SH M EY1 - D ER0 +SCHMAHL SH M AA1 L +SCHMAL SH M AE1 L +SCHMALE SH M EY1 L +SCHMALL SH M AO1 L +SCHMALTZ SH M AA1 L T S +SCHMALZ SH M AO1 L Z +SCHMANCY SH M AE1 N - S IY0 +SCHMAUS SH M AW1 Z +SCHMEAD SH M IY1 D +SCHMECHEL SH M EH1 - K AH0 L +SCHMECK SH M EH1 K +SCHMEHL SH M EH1 L +SCHMEICHEL SH M AY1 - K AH0 L +SCHMEISER SH M AY1 - S ER0 +SCHMELING SH M EH1 - L IH0 NG +SCHMELTER SH M EH1 L - T ER0 +SCHMELTZ SH M EH1 L T S +SCHMELTZER SH M EH1 L T - Z ER0 +SCHMELZ SH M EH1 L Z +SCHMELZER SH M EH1 L - Z ER0 +SCHMELZLE SH M EH1 L - Z AH0 L +SCHMERGEL SH M ER1 - G AH0 L +SCHMERTZ SH M ER1 T S +SCHMETTERER SH M EH1 - T ER0 - ER0 +SCHMICK SH M IH1 K +SCHMID SH M IH1 D +SCHMIDDY SH M IH1 - D IY0 +SCHMIDGALL SH M IH1 - JH AH0 L +SCHMIDL SH M IH1 - D AH0 L +SCHMIDLIN SH M IH1 D - L IH0 N +SCHMIDT SH M IH1 T +SCHMIDT'S SH M IH1 T S +SCHMIDTKE SH M IH1 T - K IY0 +SCHMIED SH M AY1 D +SCHMIEDER SH M AY1 - D ER0 +SCHMIEG SH M IY1 G +SCHMIERER SH M AY1 - ER0 - ER0 +SCHMIESING SH M IY1 - S IH0 NG +SCHMIT SH M IH1 T +SCHMITT SH M IH1 T +SCHMITTER SH M IH1 - T ER0 +SCHMITTOU SH M IH1 - CH UW0 +SCHMITZ SH M IH1 T S +SCHMITZER SH M IH1 T - S ER0 +SCHMOKE SH M OW1 K +SCHMOKER SH M OW1 - K ER0 +SCHMOLDT SH M OW1 L T +SCHMOLL SH M AA1 L +SCHMOOZE SH M UW1 Z +SCHMOOZING SH M UW1 - Z IH0 NG +SCHMOTZER SH M OW1 T - Z ER0 +SCHMOYER SH M OY1 - ER0 +SCHMUCK SH M AH1 K +SCHMUCKER SH M AH1 - K ER0 +SCHMUCKLER SH M AH1 - K L ER0 +SCHMUHL SH M AH1 L +SCHMULTS SH M AH1 L T S +SCHMUNK SH M AH1 NG K +SCHMUTZ SH M AH1 T S +SCHMUTZLER SH M AH1 T - Z AH0 L - ER0 +SCHMUTZLER(2) SH M AH1 T Z - L ER0 +SCHNABEL SH N AE1 - B AH0 L +SCHNACK SH N AE1 K +SCHNACKENBERG SH N AE1 - K AH0 N - B ER0 G +SCHNAKE SH N EY1 K +SCHNAKENBERG SH N EY1 - K AH0 N - B ER0 G +SCHNALL SH N AO1 L +SCHNAPP SH N AE1 P +SCHNAPPS SH N AE1 P S +SCHNARR SH N AE1 R +SCHNAUZER SH N AW1 - Z ER0 +SCHNEBERGER SH N IY1 - B ER0 - G ER0 +SCHNEBLY SH N EH1 - B L IY0 +SCHNECK SH N EH1 K +SCHNECKLOTH SH N EH1 - K L AH0 TH +SCHNEE SH N IY1 +SCHNEEBERGER SH N IY1 - B ER0 - G ER0 +SCHNEEMAN SH N IY1 - M AH0 N +SCHNEERSON SH N IH1 R - S AH0 N +SCHNEERSON'S SH N IH1 R - S AH0 N Z +SCHNEID SH N AY1 D +SCHNEIDER SH N AY1 - D ER0 +SCHNEIDER'S SH N AY1 - D ER0 Z +SCHNEIDERMAN SH N AY1 - D ER0 - M AH0 N +SCHNEIDERMAN'S SH N AY1 - D ER0 - M AH0 N Z +SCHNEIDERS SH N AY1 - D ER0 Z +SCHNEIDERS' SH N AY1 - D ER0 Z +SCHNEIDEWIND SH N AY1 - D AH0 - W IH2 N D +SCHNEIDEWIND'S SH N AY1 - D AH0 - W IH2 N D Z +SCHNEIER SH N AY1 - ER0 +SCHNEITER SH N AY1 - T ER0 +SCHNELL SH N EH1 L +SCHNELLE SH N EH1 L +SCHNELLER SH N EH1 - L ER0 +SCHNEPF SH N EH1 P F +SCHNEPP SH N EH1 P +SCHNETTLER SH N EH1 - T AH0 L - ER0 +SCHNETTLER(2) SH N EH1 T - L ER0 +SCHNETZER SH N EH1 T - Z ER0 +SCHNICK SH N IH1 K +SCHNIDER SH N AY1 - D ER0 +SCHNIEDER SH N AY1 - D ER0 +SCHNIEDERS SH N AY1 - D ER0 Z +SCHNIER SH N AY1 - ER0 +SCHNITKER SH N IH1 T - K ER0 +SCHNITTKE SH N IH1 T - K IY0 +SCHNITZ SH N IH1 T S +SCHNITZER SH N IH1 T - Z ER0 +SCHNITZLER SH N IH1 T - S L ER0 +SCHNOEBELEN SH N OW1 - B AH0 - L AH0 N +SCHNOOK SH N UH1 K +SCHNOOKS SH N UH1 K S +SCHNOOR SH N UH1 R +SCHNORR SH N AO1 R +SCHNUR SH N ER1 +SCHNURR SH N ER1 +SCHNYDER SH N AY1 - D ER0 +SCHNYDER'S SH N AY1 - D ER0 Z +SCHOBEL SH OW1 - B AH0 L +SCHOBER SH OW1 - B ER0 +SCHOBERT SH AA1 - B ER0 T +SCHOCH SH AA1 K +SCHOCK SH AA1 K +SCHOECK SH OW1 K +SCHOEFFLER SH OW1 - F AH0 L - ER0 +SCHOEFFLER(2) SH OW1 F - L ER0 +SCHOELLER SH OW1 - L ER0 +SCHOELLHORN SH OW1 L - HH AO2 R N +SCHOEMAKER SH OW1 - M EY2 - K ER0 +SCHOEN SH OW1 N +SCHOENBAUM SH OW1 N - B AW2 M +SCHOENBECK SH OW1 N - B EH2 K +SCHOENBERG SH OW1 N - B ER0 G +SCHOENBERGER SH OW1 N - B ER0 - G ER0 +SCHOENBORN SH OW1 N - B ER0 N +SCHOENDORF SH OW1 N - D AO0 R F +SCHOENE SH AA1 - IY0 N +SCHOENECK SH OW1 - N EH0 K +SCHOENECKER SH OW1 - N EH0 - K ER0 +SCHOENEMAN SH AA1 - IY0 N - M AH0 N +SCHOENEMANN SH AA1 - IY0 N - M AH0 N +SCHOENER SH OW1 - N ER0 +SCHOENFELD SH OW1 N - F EH2 L D +SCHOENFELDER SH OW1 N - F EH0 L - D ER0 +SCHOENFELDT SH OW1 N - F IH0 L T +SCHOENHALS SH OW1 N - HH AH0 L Z +SCHOENHERR SH OW1 N - HH ER0 +SCHOENHOF SH OW1 N - HH AA2 F +SCHOENHOF'S SH OW1 N - HH AA2 F S +SCHOENHOLTZ SH OW1 N - HH OW2 L T S +SCHOENIG SH OW1 - N IH0 G +SCHOENING SH AA1 - AH0 - N IH0 NG +SCHOENROCK SH OW1 N - R AH0 K +SCHOENTHAL SH OW1 N - TH AO2 L +SCHOENWALD SH OW1 N - W AO2 L D +SCHOEPE SH OW1 P +SCHOEPF SH OW1 P +SCHOEPKE SH OW1 P - K IY0 +SCHOEPP SH OW1 P +SCHOEPPNER SH OW1 P - N ER0 +SCHOETTLE SH OW1 - T AH0 L +SCHOFF SH AO1 F +SCHOFFSTALL SH AO1 F - S T AH0 L +SCHOFIELD S K OW1 - F IY0 L D +SCHOLAR S K AA1 - L ER0 +SCHOLAR'S S K AA1 - L ER0 Z +SCHOLARLY S K AA1 - L ER0 - L IY0 +SCHOLARS S K AA1 - L ER0 Z +SCHOLARSHIP S K AA1 - L ER0 - SH IH2 P +SCHOLARSHIPS S K AA1 - L ER0 - SH IH2 P S +SCHOLASTIC S K AH0 - L AE1 - S T IH0 K +SCHOLBERG SH OW1 L - B ER0 G +SCHOLER SH OW1 - L ER0 +SCHOLES S K OW1 L Z +SCHOLEY SH OW1 - L IY0 +SCHOLFIELD S K OW1 L - F IY2 L D +SCHOLL SH AA1 L +SCHOLLE SH OW1 L +SCHOLLER SH AA1 - L ER0 +SCHOLLMEYER SH AA1 L - M AY0 - ER0 +SCHOLTEN SH OW1 L - T AH0 N +SCHOLTES SH OW1 L T S +SCHOLTZ SH OW1 L T S +SCHOLZ SH OW1 L Z +SCHOLZE SH OW1 L Z +SCHOMAKER SH OW1 - M EY2 - K ER0 +SCHOMBERG SH AA1 M - B ER0 G +SCHOMBURG SH AA1 M - B ER0 G +SCHOMER SH OW1 - M ER0 +SCHOMMER SH AA1 - M ER0 +SCHON SH AA1 N +SCHONBERG SH AA1 N - B ER0 G +SCHONBERGER SH AA1 N - B ER0 - G ER0 +SCHONE SH OW1 N +SCHONEMAN SH OW1 N - M AH0 N +SCHONFELD SH AA1 N - F EH2 L D +SCHONS SH AA1 N Z +SCHOO SH UW1 +SCHOOF SH UH1 F +SCHOOK SH UH1 K +SCHOOL S K UW1 L +SCHOOL'S S K UW1 L Z +SCHOOLBOOK S K UW1 L - B UH2 K +SCHOOLBOOKS S K UW1 L - B UH2 K S +SCHOOLBOY S K UW1 L - B OY2 +SCHOOLBOYS S K UW1 L - B OY2 Z +SCHOOLBUS S K UW1 L - B AH2 S +SCHOOLCHILD S K UW1 L - CH AY2 L D +SCHOOLCHILDREN S K UW1 L - CH IH2 L - D R AH0 N +SCHOOLCRAFT S K UW1 L - K R AE2 F T +SCHOOLED S K UW1 L D +SCHOOLER S K UW1 - L ER0 +SCHOOLERS S K UW1 - L ER0 Z +SCHOOLEY S K UW1 - L IY0 +SCHOOLFIELD S K UW1 L - F IY2 L D +SCHOOLHOUSE S K UW1 L - HH AW2 S +SCHOOLING S K UW1 - L IH0 NG +SCHOOLMASTER S K UW1 L - M AE2 - S T ER0 +SCHOOLMATE S K UW1 L - M EY2 T +SCHOOLMATES S K UW1 L - M EY2 T S +SCHOOLROOM S K UW1 L - R UW2 M +SCHOOLS S K UW1 L Z +SCHOOLS' S K UW1 L Z +SCHOOLTEACHER S K UW1 L - T IY2 - CH ER0 +SCHOOLTEACHERS S K UW1 L - T IY2 - CH ER0 Z +SCHOOLTIME S K UW1 L - T AY2 M +SCHOOLWORK S K UW1 L - W ER2 K +SCHOOLYARD S K UW1 L - Y AA2 R D +SCHOON S K UW1 N +SCHOONER S K UW1 - N ER0 +SCHOONERS S K UW1 - N ER0 Z +SCHOONMAKER SH UW1 N - M EY0 - K ER0 +SCHOONOVER SH UW1 - N AH0 - V ER0 +SCHOPF SH AA1 P F +SCHOPFER SH AA1 P - F ER0 +SCHOPP SH AA1 P +SCHOPPE SH AA1 P +SCHOR SH AO1 R +SCHORK SH AO1 R K +SCHORN SH AO1 R N +SCHORR SH AO1 R +SCHORR'S SH AO1 R Z +SCHORSCH SH AO1 R SH +SCHOTT SH AA1 T +SCHOTT'S SH AA1 T S +SCHOTTENSTEIN SH AA1 - T AH0 N - S T IY2 N +SCHOTTENSTEIN(2) SH AA1 - T AH0 N - S T AY2 N +SCHOU SH UW1 +SCHOUTEN SH AA1 - UW0 - T AH0 N +SCHOW SH AW1 +SCHOWALTER SH AW1 - AH0 L - T ER0 +SCHRACK SH R AE1 K +SCHRADE SH R EY1 D +SCHRADER SH R EY1 - D ER0 +SCHRAEDER SH R EH1 - D ER0 +SCHRAG SH R AE1 G +SCHRAGE SH R EY1 JH +SCHRAGER SH R EY1 - G ER0 +SCHRAM SH R AE1 M +SCHRAMM SH R AE1 M +SCHRANDT SH R AE1 N T +SCHRANK SH R AE1 NG K +SCHRANTZ SH R AE1 N T S +SCHRANZ SH R AE1 N S +SCHRAUFNAGEL SH R AW1 F - N AH0 - G AH0 L +SCHRECENGOST SH R EH1 - S IH0 NG - G AH0 S T +SCHRECK SH R EH1 K +SCHRECKENGOST SH R EH1 - K IH0 NG - G AH0 S T +SCHRECONGOST SH R EH1 - K AH0 NG - G AH0 S T +SCHREDER SH R IY1 - D ER0 +SCHREFFLER SH R EH1 - F AH0 - L ER0 +SCHREFFLER(2) SH R EH1 F - L ER0 +SCHREGER SH R EH1 - G ER0 +SCHREIBER SH R AY1 - B ER0 +SCHREIBMAN SH R AY1 B - M AH0 N +SCHREIER SH R AY1 - ER0 +SCHREIFELS SH R AY1 - F AH0 L Z +SCHREINER SH R AY1 - N ER0 +SCHREITER SH R AY1 - T ER0 +SCHREMP SH R EH1 M P +SCHREMPF SH R EH1 M P F +SCHREMPP SH R EH1 M P +SCHRENK SH R EH1 NG K +SCHREUR SH R ER1 +SCHREURS SH R ER1 Z +SCHREYER SH R AY1 R +SCHRIBER SH R AY1 - B ER0 +SCHRICK SH R IH1 K +SCHRICKER SH R IH1 - K ER0 +SCHRIEBER SH R IY1 - B ER0 +SCHRIEFER SH R IY1 - F ER0 +SCHRIER SH R AY1 - ER0 +SCHRIEVER SH R IY1 - V ER0 +SCHRIMPF SH R IH1 M P F +SCHRIMSHER SH R IH1 M - SH ER0 +SCHRINER SH R AY1 - N ER0 +SCHRIVER SH R AY1 - V ER0 +SCHROADER SH R OW1 - D ER0 +SCHROCK SH R AA1 K +SCHRODER SH R OW1 - D ER0 +SCHRODERS SH R OW1 - D ER0 Z +SCHRODT SH R AA1 T +SCHROECK SH R OW1 K +SCHROEDER SH R OW1 - D ER0 +SCHROEDER'S SH R OW1 - D ER0 Z +SCHROEDL SH R OW1 - D AH0 L +SCHROEPFER SH R OW1 P - F ER0 +SCHROER SH R OW1 - ER0 +SCHROETER SH R OW1 - T ER0 +SCHROFF SH R AO1 F +SCHROLL SH R OW1 L +SCHROM SH R AA1 M +SCHRONCE SH R AA1 N S +SCHROPP SH R AA1 P +SCHROTH SH R AO1 TH +SCHROYER SH R OY1 - ER0 +SCHRUM SH R AH1 M +SCHRUMPF SH R AH1 M P F +SCHRUPP SH R AH1 P +SCHRYER SH R AY1 - ER0 +SCHRYVER SH R AY1 - V ER0 +SCHTICK SH T IH1 K +SCHUBACH SH AH1 - B AA0 K +SCHUBEL SH UW1 - B AH0 L +SCHUBERT SH UW1 - B ER0 T +SCHUBERT'S SH UW1 - B ER0 T S +SCHUBRING SH AH1 - B ER0 - IH0 NG +SCHUCH SH AH1 K +SCHUCHARD SH AH1 - K ER0 D +SCHUCHARDT SH AH1 - K AA0 R T +SCHUCHART SH AH1 K - HH AA0 R T +SCHUCHERT S K AH1 - CH ER0 T +SCHUCHMAN SH AH1 K - M AH0 N +SCHUCHMANN SH AH1 K - M AH0 N +SCHUCK SH AH1 K +SCHUCKER SH AH1 - K ER0 +SCHUCKMAN SH AH1 K - M AH0 N +SCHUE SH UW1 +SCHUELE SH UW1 L +SCHUELER SH UW1 - L ER0 +SCHUELKE SH UW1 L K +SCHUELLER SH UW1 - L ER0 +SCHUENEMAN SH UW1 - N AH0 - M AH0 N +SCHUENEMANN SH UW1 - N AH0 - M AH0 N +SCHUERMAN SH UW1 - ER0 - M AH0 N +SCHUERMANN SH UW1 - ER0 - M AH0 N +SCHUESSLER SH UW1 S - L ER0 +SCHUETT S K UW1 T +SCHUETTE S K UW1 T +SCHUETZ SH UW1 T S +SCHUETZE SH UW1 T S +SCHUFF SH AH1 F +SCHUG SH AH1 G +SCHUH SH UW1 +SCHUHMACHER SH UW1 - M AA0 - K ER0 +SCHUHMANN SH UW1 - M AH0 N +SCHUITEMA SH UW1 - T IH0 - M AH0 +SCHUKNECHT SH AH1 K - N IH0 K T +SCHUL SH UH1 L +SCHULD SH UH1 D +SCHULDENER SH UW1 L - D AH0 - N ER0 +SCHULDENER'S SH UW1 L - D AH0 - N ER0 Z +SCHULDER SH UW1 L - D ER0 +SCHULDT SH UH1 L T +SCHULENBERG SH UW1 - L AH0 N - B ER0 G +SCHULENBURG SH UW1 - L AH0 N - B ER0 G +SCHULER SH UW1 - L ER0 +SCHULHOF SH UW1 L - HH AO0 F +SCHULKE SH UH1 L - K IY0 +SCHULL SH UH1 L +SCHULLER SH UW1 - L ER0 +SCHULMAN SH UW1 L - M AH0 N +SCHULOF SH UW1 - L AO0 F +SCHULT SH AH1 L T +SCHULTE SH AH1 L T +SCHULTEN SH AH1 L - T AH0 N +SCHULTES SH AH1 L T S +SCHULTHEIS SH AH1 L - DH AY0 Z +SCHULTHEISS SH AH1 L - TH AY0 S +SCHULTZ SH UH1 L T S +SCHULTZE SH AH1 L T Z +SCHULZ SH UH1 L T S +SCHULZE SH UH1 L T S +SCHUM SH AH1 M +SCHUMACHER SH UW1 - M AA2 - K ER0 +SCHUMACKER SH UW1 - M AA2 - K ER0 +SCHUMAKER SH UW1 - M EY2 - K ER0 +SCHUMAN SH UW1 - M AH0 N +SCHUMANN SH UW1 - M AH0 N +SCHUMANN'S SH UW1 - M AH0 N Z +SCHUMER SH UW1 - M ER0 +SCHUMER'S SH UW1 - M ER0 Z +SCHUMM SH AH1 M +SCHUMPERT SH AH1 M - P ER0 T +SCHUNDLER SH AH1 N D - L ER0 +SCHUNEMAN SH UW1 N - M AH0 N +SCHUNK SH AH1 NG K +SCHUPAK SH UW1 - P AE2 K +SCHUPBACH SH AH1 P - B AA2 K +SCHUPP SH AH1 P +SCHUR SH ER1 +SCHURING SH ER1 - IH0 NG +SCHURMAN SH ER1 - M AH0 N +SCHURR SH ER1 +SCHURRENBERG SH ER1 - AH0 N - B ER0 G +SCHUSSLER SH AH1 S - L ER0 +SCHUSTER SH UW1 - S T ER0 +SCHUT SH AH1 T +SCHUTH SH UW1 TH +SCHUTT SH AH1 T +SCHUTTE S K AH1 T +SCHUTTER SH AH1 - T ER0 +SCHUTTLER SH AH1 T - L ER0 +SCHUTZ SH AH1 T S +SCHUTZ'S SH AH1 T - S IH0 Z +SCHUTZMAN SH AH1 T Z - M AH0 N +SCHUUR SH UH1 R +SCHUYLER S K AY1 - L ER0 +SCHUYLKILL S K Y UW1 L - K IH2 L +SCHWAB SH W AA1 B +SCHWAB'S SH W AA1 B Z +SCHWABE SH W AO1 B +SCHWADERER SH W AO1 - D ER0 - ER0 +SCHWAGER SH W EY1 - G ER0 +SCHWAHN SH W AO1 N +SCHWAIGER SH W AY1 - G ER0 +SCHWAKE SH W EY1 K +SCHWALB SH W AO1 L B +SCHWALBACH SH W AO1 L - B AA2 K +SCHWALBE SH W AO1 L B +SCHWALL SH W AO1 L +SCHWALLER SH W AO1 - L ER0 +SCHWALM SH W AA1 L M +SCHWAM SH W AO1 M +SCHWAN SH W AO1 N +SCHWANDT SH W AO1 N T +SCHWANKE SH W AO1 NG K +SCHWANTES SH W AO1 N T S +SCHWANZ SH W AO1 N S +SCHWARK SH W AO1 R K +SCHWARM SH W AO1 R M +SCHWARTZ SH W AO1 R T S +SCHWARTZBERG SH W AO1 R T S - B ER0 G +SCHWARTZBERG'S SH W AO1 R T S - B ER0 G Z +SCHWARTZCHILD SH W AO1 R T S - CH AY2 L D +SCHWARTZKOPF SH W AO1 R T - S K AO0 P F +SCHWARTZKOPF(2) SH W AO1 R T - S K AO0 F +SCHWARTZMAN SH W AO1 R T S - M AH0 N +SCHWARZ SH W AO1 R T S +SCHWARZE SH W AO1 R T S +SCHWARZENEGGER SH W AO1 R - Z AH0 - N EY2 - G ER0 +SCHWARZENEGGER'S SH W AO1 R - Z AH0 - N EY2 - G ER0 Z +SCHWARZER SH W AO1 R T - S ER0 +SCHWARZKOPF SH W AO1 R T - S K AO0 P F +SCHWARZKOPF'S SH W AO1 R T - S K AO0 P F S +SCHWARZKOPF'S(2) SH W AO1 R T - S K AO0 F S +SCHWARZKOPF(2) SH W AO1 R T - S K AO0 F +SCHWARZMAN SH W AO1 R T S - M AH0 N +SCHWEBACH SH W EH1 - B AA2 K +SCHWEBEL SH W EH1 - B AH0 L +SCHWEBKE SH W EH1 B K +SCHWED SH W EH1 D +SCHWEDA SH W IY1 - D AH0 +SCHWEDE SH W IY1 D +SCHWEDER SH W IY1 - D ER0 +SCHWEER SH W IH1 R +SCHWEERS SH W IH1 R Z +SCHWEGEL SH W EH1 - G AH0 L +SCHWEGLER SH W EH1 - G AH0 - L ER0 +SCHWEGLER(2) SH W EH1 G - L ER0 +SCHWEGMAN SH W EH1 G - M AH0 N +SCHWEICH SH W AY1 K +SCHWEICKERT SH W AY1 - K ER0 T +SCHWEIGER SH W AY1 - G ER0 +SCHWEIGERT SH W AY1 - G ER0 T +SCHWEIGHARDT SH W AY1 G - HH AA2 R T +SCHWEIKERT SH W AY1 - K ER0 T +SCHWEINSBERG SH W AY1 N S - B ER0 G +SCHWEISS SH W AY1 S +SCHWEITZER SH W AY1 T - S ER0 +SCHWEITZER'S SH W AY1 T - S ER0 Z +SCHWEIZER SH W AY1 - Z ER0 +SCHWEIZERISCHE SH W AY1 - Z ER0 - IH0 SH +SCHWEMM SH W EH1 M +SCHWEMMER SH W EH1 - M ER0 +SCHWENDEMAN SH W EH1 N D - M AH0 N +SCHWENK SH W EH1 NG K +SCHWENKE SH W EH1 NG K +SCHWENKER SH W EH1 NG - K ER0 +SCHWENN SH W EH1 N +SCHWENT SH W EH1 N T +SCHWEPPE SH W EH1 P +SCHWEPPES SH W EH1 P S +SCHWER SH W ER1 +SCHWERDLOFF SH W ER1 D - L AO0 F +SCHWERDT SH W ER1 T +SCHWERDTFEGER SH W ER1 T - F EY2 - G ER0 +SCHWERIN SH W EH1 - R IH0 N +SCHWERING SH W IH1 - R IH0 NG +SCHWERNER SH W ER1 - N ER0 +SCHWERNER'S SH W ER1 - N ER0 Z +SCHWERTFEGER SH W ER1 T - F IH0 - G ER0 +SCHWERTNER SH W ER1 T - N ER0 +SCHWICHTENBERG SH W IH1 K - T AH0 N - B ER0 G +SCHWIEGER SH W IY1 - G ER0 +SCHWIER SH W AY1 - ER0 +SCHWIESOW SH W IY1 - S OW0 +SCHWIETERMAN SH W IY1 - T ER0 - M AH0 N +SCHWIMMER SH W IH1 - M ER0 +SCHWIND SH W IH1 N D +SCHWINDT SH W IH1 N T +SCHWING SH W IH1 NG +SCHWINGER SH W IH1 - NG ER0 +SCHWINN SH W IH1 N +SCHWISOW SH W IH1 - S OW0 +SCHWOERER SH W OW1 - ER0 - ER0 +SCI S IY1 +SCI(2) EH1 S - S IY1 - AY1 +SCIACCA S K AO1 - K AA0 +SCIALABBA S K AO1 - L AA0 - B AH0 +SCIALDONE SH AO1 L - D OW0 - N IY0 +SCIANDRA SH AO1 N - D R AH0 +SCIANNA SH AO1 - N AH0 +SCIARA SH AA1 - R AH0 +SCIARONI S IY2 - ER0 - OW1 - N IY0 +SCIARRA S IY0 - AA1 - R AH0 +SCIARRINO SH ER0 - IY1 - N OW0 +SCIASCIA SH AO1 S - CH AH0 +SCIBELLI S IH0 - B EH1 - L IY0 +SCIBILIA S IH0 - B IY1 - L IY0 - AH0 +SCICCHITANO S IH0 - K IH0 - T AA1 - N OW0 +SCICLONE S IH2 - K L OW1 - N IY0 +SCICOM S IH1 - K AA2 M +SCIENCE S AY1 - AH0 N S +SCIENCE'S S AY1 - AH0 N - S IH0 Z +SCIENCES S AY1 - AH0 N - S AH0 Z +SCIENCES' S AY1 - AH0 N - S IH0 Z +SCIENCES(2) S AY1 - AH0 N - S IH0 Z +SCIENTIFIC S AY2 - AH0 N - T IH1 - F IH0 K +SCIENTIFIC'S S AY2 - AH0 N - T IH1 - F IH0 K S +SCIENTIFICALLY S AY2 - AH0 N - T IH1 - F IH0 - K AH0 - L IY0 +SCIENTIFICALLY(2) S AY2 - AH0 N - T IH1 - F IH0 K - L IY0 +SCIENTIFICS S AY2 - AH0 N - T IH1 - F IH0 K S +SCIENTIST S AY1 - AH0 N - T IH0 S T +SCIENTIST'S S AY1 - AH0 N - T IH0 S T S +SCIENTISTS S AY1 - AH0 N - T IH0 S T S +SCIENTISTS' S AY1 - AH0 N - T IH0 S T S +SCIENTISTS(2) S AY1 N - T IH0 S T S +SCIENTISTS(3) S AY1 N - T IH0 S S +SCIENTISTS(4) S AY1 - AH0 N - T IH0 S S +SCIENTISTS(5) S AY1 N - T IH0 S +SCIENTISTS(6) S AY1 - AH0 N - T IH0 S +SCIENTOLOGIST S AY2 - AH0 N - T AA1 - L AH0 - JH AH0 S T +SCIENTOLOGISTS S AY2 - AH0 N - T AA1 - L AH0 - JH AH0 S T S +SCIENTOLOGY S AY2 - AH0 N - T AA1 - L AH0 - JH IY0 +SCIFRES S AY1 - F ER0 Z +SCILLA S IH1 - L AH0 +SCILLAS S IH1 - L AH0 Z +SCIMECA S IH0 - M EH1 - K AH0 +SCIMECA(2) S AY2 - M EH1 - K AH0 +SCIMED S AY1 - M EH2 D +SCIMONE S IH0 - M OW1 N +SCINTA S IH1 N - T AH0 +SCINTILLA S IH0 N - T IH1 - L AH0 +SCINTILORE S IH1 N - T AH0 - L AO2 - R IY0 +SCINTO S IH1 N - T OW0 +SCIOLI S IY0 - OW1 - L IY0 +SCION S AY1 - AH0 N +SCIORTINO S IY0 - AO0 R - T IY1 - N OW0 +SCIOS S K AY1 - OW0 S +SCIPIO S IH1 - P IY0 - OW0 +SCIPIONE S IH0 - P IY0 - OW1 - N IY0 +SCIRE S AY1 R +SCISM S K IH1 - Z AH0 M +SCISSOR S IH1 - Z ER0 +SCISSORS S IH1 - Z ER0 Z +SCITEX S IY1 - T EH2 K S +SCIULLI S IY0 - UW1 - L IY0 +SCIULLO S IY0 - UW1 - L OW0 +SCIUTO S IY0 - UW1 - T OW0 +SCLAFANI S K L AA0 - F AA1 - N IY0 +SCLERODERMA S K L IH2 - R AH0 - D ER1 - M AH0 +SCLEROSIS S K L ER0 - OW1 - S AH0 S +SCOBEE S K AA1 - B IY0 +SCOBEY S K OW1 - B IY0 +SCOBIE S K AA1 - B IY0 +SCOBY S K OW1 - B IY0 +SCOCOZZA S K AA0 - K AA1 - Z AH0 +SCOFF S K AO1 F +SCOFFED S K AO1 F T +SCOFFIELD S K AO1 - F IY2 L D +SCOFFLAWS S K AA1 - F L AO2 Z +SCOFFS S K AO1 F S +SCOFIELD S K OW1 - F IY2 L D +SCOGGIN S K AA1 - G IH0 N +SCOGGINS S K AA1 - G IH0 N Z +SCOGIN S K OW1 - G IH0 N +SCOHIER S K OW1 - Y ER0 +SCOLA S K OW1 - L AH0 +SCOLARI S K OW0 - L AA1 - R IY0 +SCOLARO S K OW0 - L AA1 - R OW0 +SCOLD S K OW1 L D +SCOLDED S K OW1 L - D AH0 D +SCOLDED(2) S K OW1 L - D IH0 D +SCOLDING S K OW1 L - D IH0 NG +SCOLDS S K OW1 L D Z +SCOLES S K OW1 L Z +SCOLIA S K OW1 - L Y AH0 +SCOMA S K OW1 - M AH0 +SCONC S K AA1 N S +SCONCE S K AA1 N S +SCONCES S K AA1 N - S IH0 Z +SCONE S K OW1 N +SCONES S K OW1 N Z +SCONIERS S K AO1 - N IY0 - ER0 Z +SCONNIX S K AA1 - N IH0 K S +SCONYERS S K AO1 - N IY0 - ER0 Z +SCOOP S K UW1 P +SCOOPED S K UW1 P T +SCOOPER S K UW1 - P ER0 +SCOOPING S K UW1 - P IH0 NG +SCOOPS S K UW1 P S +SCOOT S K UW1 T +SCOOTER S K UW1 - T ER0 +SCOOTERS S K UW1 - T ER0 Z +SCOOTS S K UW1 T S +SCOPE S K OW1 P +SCOPES S K OW1 P S +SCOPING S K OW1 - P IH0 NG +SCOPOLAMINE S K AO1 - P AH0 - L AH0 - M IY2 N +SCOPOLAMINE(2) S K OW1 - P L AH0 - M IY2 N +SCOR S K AO1 R +SCORCH S K AO1 R CH +SCORCHED S K AO1 R CH T +SCORCHER S K AO1 R - CH ER0 +SCORCHING S K AO1 R - CH IH0 NG +SCORE S K AO1 R +SCOREBOARD S K AO1 R - B AO2 R D +SCORECARD S K AO1 R - K AA2 R D +SCORECARDS S K AO1 R - K AA2 R D Z +SCORED S K AO1 R D +SCOREKEEPER S K AO1 R - K IY2 - P ER0 +SCOREKEEPERS S K AO1 R - K IY2 - P ER0 Z +SCOREKEEPING S K AO1 R - K IY2 - P IH0 NG +SCORELESS S K AO1 R - L AH0 S +SCORER S K AO1 - R ER0 +SCORERS S K AO1 - R ER0 Z +SCORES S K AO1 R Z +SCORING S K AO1 - R IH0 NG +SCORN S K AO1 R N +SCORNED S K AO1 R N D +SCORNFUL S K AO1 R N - F AH0 L +SCORNS S K AO1 R N Z +SCORPIO S K AO1 R - P IY0 - OW2 +SCORPION S K AO1 R - P IY0 - AH0 N +SCORPIONS S K AO1 R - P IY0 - AH0 N Z +SCORSESE S K AO2 R - S IY1 Z +SCORSESE'S S K AO2 R - S IY1 - Z IH0 Z +SCORSESE'S(2) S K AO2 R - S EY1 - Z IY0 Z +SCORSESE(2) S K AO2 R - S EY1 - Z IY0 +SCORSONE S K AO1 R - S AH0 N +SCORZA S K AO1 R - Z AH0 +SCOT S K AA1 T +SCOTCH S K AA1 CH +SCOTCHED S K AA1 CH T +SCOTCHES S K AA1 - CH IH0 Z +SCOTCHGARD S K AA1 CH - G AA2 R D +SCOTIA S K OW1 - SH AH0 +SCOTIA'S S K OW1 - SH AH0 Z +SCOTLAND S K AA1 T - L AH0 N D +SCOTLAND'S S K AA1 T - L AH0 N D Z +SCOTS S K AA1 T S +SCOTSMAN S K AA1 T S - M AH0 N +SCOTT S K AA1 T +SCOTT'S S K AA1 T S +SCOTTEN S K AA1 - T AH0 N +SCOTTIE S K AA1 - T IY0 +SCOTTISH S K AA1 - T IH0 SH +SCOTTO S K OW1 - T OW0 +SCOTTO(2) S K AA1 - T OW0 +SCOTTON S K AA1 - T AH0 N +SCOTTS S K AA1 T S +SCOTTSBLUFF S K AA1 T S - B L AH2 F +SCOTTSDALE S K AA1 T S - D EY2 L +SCOTTY S K AA1 - T IY0 +SCOTTY'S S K AA1 - T IY0 Z +SCOUNDREL S K AW1 N - D R AH0 L +SCOUNDRELS S K AW1 N - D R AH0 L Z +SCOUR S K AW1 - ER0 +SCOUR(2) S K AW1 R +SCOURED S K AW1 - ER0 D +SCOURGE S K ER1 JH +SCOURGES S K ER1 - JH IH0 Z +SCOURING S K AW1 - ER0 - IH0 NG +SCOURS S K AW1 - ER0 Z +SCOUT S K AW1 T +SCOUT'S S K AW1 T S +SCOUTED S K AW1 - T AH0 D +SCOUTEN S K AW1 - T AH0 N +SCOUTER S K AW1 - T ER0 +SCOUTERS S K AW1 - T ER0 Z +SCOUTING S K AW1 - T IH0 NG +SCOUTMASTER S K AW1 T - M AE2 - S T ER0 +SCOUTS S K AW1 T S +SCOVEL S K OW1 - V AH0 L +SCOVELL S K AA1 - V AH0 L +SCOVIL S K OW1 - V AH0 L +SCOVILL S K AA1 - V AH0 L +SCOVILLE S K OW1 - V IH2 L +SCOW S K AW1 +SCOWCROFT S K OW1 - K R AO2 F T +SCOWDEN S K AW1 - D AH0 N +SCOWL S K AW1 L +SCOWLED S K AW1 L D +SCOWLING S K AW1 - L IH0 NG +SCOZZAFAVA S K OW0 T - S AA0 - F AA1 - V AH0 +SCRABBLE S K R AE1 - B AH0 L +SCRAGG S K R AE1 G +SCRAGGLE S K R AE1 - G AH0 L +SCRAGGLY S K R AE1 G - L IY0 +SCRAMBLE S K R AE1 M - B AH0 L +SCRAMBLED S K R AE1 M - B AH0 L D +SCRAMBLES S K R AE1 M - B AH0 L Z +SCRAMBLING S K R AE1 M - B AH0 L - IH0 NG +SCRAMBLING(2) S K R AE1 M - B L IH0 NG +SCRANTON S K R AE1 N - T AH0 N +SCRAP S K R AE1 P +SCRAPBOOK S K R AE1 P - B UH2 K +SCRAPBOOKS S K R AE1 P - B UH2 K S +SCRAPE S K R EY1 P +SCRAPED S K R EY1 P T +SCRAPER S K R EY1 - P ER0 +SCRAPERS S K R EY1 - P ER0 Z +SCRAPES S K R EY1 P S +SCRAPING S K R EY1 - P IH0 NG +SCRAPINGS S K R EY1 - P IH0 NG Z +SCRAPIRON S K R AE1 - P AY2 - ER0 N +SCRAPPED S K R AE1 P T +SCRAPPING S K R AE1 - P IH0 NG +SCRAPPY S K R AE1 - P IY0 +SCRAPS S K R AE1 P S +SCRATCH S K R AE1 CH +SCRATCHED S K R AE1 CH T +SCRATCHES S K R AE1 - CH AH0 Z +SCRATCHES(2) S K R AE1 - CH IH0 Z +SCRATCHING S K R AE1 - CH IH0 NG +SCRATCHY S K R AE1 - CH IY0 +SCRAWL S K R AO1 L +SCRAWLED S K R AO1 L D +SCRAWNY S K R AO1 - N IY0 +SCREAM S K R IY1 M +SCREAMED S K R IY1 M D +SCREAMER S K R IY1 - M ER0 +SCREAMERS S K R IY1 - M ER0 Z +SCREAMING S K R IY1 - M IH0 NG +SCREAMINGLY S K R IY1 - M IH0 NG - L IY0 +SCREAMS S K R IY1 M Z +SCREECH S K R IY1 CH +SCREECHED S K R IY1 CH T +SCREECHES S K R IY1 - CH IH0 Z +SCREECHING S K R IY1 - CH IH0 NG +SCREED S K R IY1 D +SCREEN S K R IY1 N +SCREENED S K R IY1 N D +SCREENER S K R IY1 - N ER0 +SCREENERS S K R IY1 - N ER0 Z +SCREENING S K R IY1 - N IH0 NG +SCREENINGS S K R IY1 - N IH0 NG Z +SCREENPLAY S K R IY1 N - P L EY2 +SCREENPLAYS S K R IY1 N - P L EY2 Z +SCREENS S K R IY1 N Z +SCREENWRITER S K R IY1 N - R AY2 - T ER0 +SCREENWRITERS S K R IY1 N - R AY2 - T ER0 Z +SCREENWRITING S K R IY1 N - R AY2 - T IH0 NG +SCREW S K R UW1 +SCREWBALL S K R UW1 - B AO2 L +SCREWDRIVER S K R UW1 - D R AY2 - V ER0 +SCREWDRIVERS S K R UW1 - D R AY2 - V ER0 Z +SCREWED S K R UW1 D +SCREWING S K R UW1 - IH0 NG +SCREWS S K R UW1 Z +SCREWY S K R UW1 - IY0 +SCRIBBLE S K R IH1 - B AH0 L +SCRIBBLED S K R IH1 - B AH0 L D +SCRIBBLER S K R IH1 - B L ER0 +SCRIBBLERS S K R IH1 - B L ER0 Z +SCRIBBLES S K R IH1 - B AH0 L Z +SCRIBBLING S K R IH1 - B AH0 L - IH0 NG +SCRIBBLING(2) S K R IH1 - B L IH0 NG +SCRIBE S K R AY1 B +SCRIBER S K R AY1 - B ER0 +SCRIBES S K R AY1 B Z +SCRIBNER S K R IH1 B - N ER0 +SCRIBNER'S S K R IH1 B - N ER0 Z +SCRIBNERS S K R IH1 B - N ER0 Z +SCRIMGEOUR S K R IH1 M - G AO0 R +SCRIMMAGE S K R IH1 - M IH0 JH +SCRIMP S K R IH1 M P +SCRIMPING S K R IH1 M - P IH0 NG +SCRIMSHAW S K R IH1 M - SH AO2 +SCRIP S K R IH1 P +SCRIPP S K R IH1 P +SCRIPP'S S K R IH1 P S +SCRIPPS S K R IH1 P S +SCRIPT S K R IH1 P T +SCRIPTED S K R IH1 P - T IH0 D +SCRIPTS S K R IH1 P T S +SCRIPTS(2) S K R IH1 P S +SCRIPTURAL S K R IH1 P - CH ER0 - AH0 L +SCRIPTURE S K R IH1 P - CH ER0 +SCRIPTURES S K R IH1 P - CH ER0 Z +SCRIPTWRITER S K R IH1 P T - R AY2 - T ER0 +SCRIPTWRITERS S K R IH1 P T - R AY2 - T ER0 Z +SCRIPTWRITING S K R IH1 P T - R AY2 - T IH0 NG +SCRITCHFIELD S K R IH1 CH - F IY0 L D +SCRIVEN S K R IH1 - V IH0 N +SCRIVENER S K R IH1 V - N ER0 +SCRIVENS S K R AY1 - V AH0 N Z +SCRIVER S K R AY1 - V ER0 +SCRIVNER S K R IH1 V - N ER0 +SCROD S K R AA1 D +SCROGGIN S K R AA1 - G IH0 N +SCROGGINS S K R AA1 - G IH0 N Z +SCROGGS S K R AA1 G Z +SCROGHAM S K R AA1 G - HH AH0 M +SCROLL S K R OW1 L +SCROLLS S K R OW1 L Z +SCRONCE S K R AA1 N S +SCROOGE S K R UW1 JH +SCROTTEN S K R AO1 - T IH0 N +SCROUNGE S K R AW1 N JH +SCROUNGED S K R AW1 N JH D +SCROUNGING S K R AW1 N - JH IH0 NG +SCRUB S K R AH1 B +SCRUBBED S K R AH1 B D +SCRUBBER S K R AH1 - B ER0 +SCRUBBERS S K R AH1 - B ER0 Z +SCRUBBING S K R AH1 - B IH0 NG +SCRUBBY S K R AH1 - B IY0 +SCRUFFY S K R AH1 - F IY0 +SCRUGGS S K R AH1 G Z +SCRUNCH S K R AH1 N CH +SCRUNCHED S K R AH1 N CH T +SCRUPLE S K R UW1 - P AH0 L +SCRUPLES S K R UW1 - P AH0 L Z +SCRUPULOUS S K R UW1 - P Y AH0 - L AH0 S +SCRUPULOUSLY S K R UW1 - P Y AH0 - L AH0 S - L IY0 +SCRUTINIZE S K R UW1 - T AH0 - N AY2 Z +SCRUTINIZED S K R UW1 - T AH0 - N AY2 Z D +SCRUTINIZES S K R UW1 - T AH0 - N AY2 - Z IH0 Z +SCRUTINIZING S K R UW1 - T AH0 - N AY2 - Z IH0 NG +SCRUTINY S K R UW1 - T AH0 - N IY0 +SCRUTON S K R UW1 - T AH0 N +SCRUTTON S K R AH1 - T AH0 N +SCRUTTON'S S K R AH1 - T AH0 N Z +SCUBA S K UW1 - B AH0 +SCUD S K AH1 D +SCUDDER S K AH1 - D ER0 +SCUDDER'S S K AH1 - D ER0 Z +SCUDERI S K UW0 - D EH1 - R IY0 +SCUDS S K AH1 D Z +SCUFF S K AH1 F +SCUFFED S K AH1 F T +SCUFFLE S K AH1 - F AH0 L +SCUFFLED S K AH1 - F AH0 L D +SCUFFLES S K AH1 - F AH0 L Z +SCULL S K AH1 L +SCULLEY S K AH1 - L IY0 +SCULLEY'S S K AH1 - L IY0 Z +SCULLIN S K AH1 - L IH0 N +SCULLION S K AH1 L - Y AH0 N +SCULLY S K AH1 - L IY0 +SCULPT S K AH1 L P T +SCULPTED S K AH1 L P - T IH0 D +SCULPTING S K AH1 L P - T IH0 NG +SCULPTOR S K AH1 L P - T ER0 +SCULPTORS S K AH1 L P - T ER0 Z +SCULPTS S K AH1 L P T S +SCULPTURAL S K AH1 L P - CH ER0 - AH0 L +SCULPTURE S K AH1 L P - CH ER0 +SCULPTURED S K AH1 L P - CH ER0 D +SCULPTURES S K AH1 L P - CH ER0 Z +SCULPTURING S K AH1 L P - T ER0 - IH0 NG +SCULPTURING(2) S K AH1 L P - CH ER0 - IH0 NG +SCUM S K AH1 M +SCUPPER S K AH1 - P ER0 +SCURDALL S K ER1 - D AA0 L +SCURDELL S K ER1 - D EH0 L +SCURDELL(2) S K ER0 - D EH1 L +SCURLOCK S K ER1 - L AH0 K +SCURRIED S K ER1 - IY0 D +SCURRILOUS S K ER1 - AH0 - L AH0 S +SCURRY S K ER1 - IY0 +SCURRYING S K ER1 - IY0 - IH0 NG +SCUTT S K AH1 T +SCUTTLE S K AH1 - T AH0 L +SCUTTLEBUTT S K AH1 - T AH0 L - B AH2 T +SCUTTLED S K AH1 - T AH0 L D +SCUTTLING S K AH1 - T AH0 L - IH0 NG +SCUTTLING(2) S K AH1 T - L IH0 NG +SCYTHIAN S IH1 - TH IY0 - AH0 N +SCZEPANSKI S IH0 - P AE1 N S - K IY0 +SDN EH1 S - D IY1 - EH1 N +SE S AW2 TH - IY1 S T +SE(2) S EY1 +SE(3) EH1 - S IY1 +SEA S IY1 +SEA'S S IY1 Z +SEABAUGH S IY1 - B AO2 +SEABEACH S IY1 - B IY2 CH +SEABED S IY1 - B EH2 D +SEABEE S IY1 - B IY0 +SEABEES S IY1 - B IY0 Z +SEABERG S IY1 - B ER0 G +SEABERRY S IY1 - B EH2 - R IY0 +SEABERT S IY1 - B ER0 T +SEABOARD S IY1 - B AO2 R D +SEABOLD S IY1 - B OW2 L D +SEABOLT S IY1 - B OW2 L T +SEABORN S IY1 - B ER0 N +SEABORNE S IY1 - B AO2 R N +SEABRIGHT S IY1 - B R AY2 T +SEABROOK S IY1 - B R UH2 K +SEABROOK'S S IY1 - B R UH2 K S +SEABROOKS S IY1 - B R UH2 K S +SEABURG S IY1 - B ER0 G +SEABURY S IY1 - B EH2 - R IY0 +SEACO S IY1 - K OW0 +SEACOAST S IY1 - K OW2 S T +SEADER S IY1 - D ER0 +SEADRIFT S IY1 - D R IH2 F T +SEAFARER S IY1 - F EH2 - R ER0 +SEAFARERS S IY1 - F EH2 - R ER0 Z +SEAFIRST S IY1 - F ER2 S T +SEAFOOD S IY1 - F UW2 D +SEAFOODS S IY1 - F UW2 D Z +SEAFORD S IY1 - F ER0 D +SEAFRONT S IY1 - F R AH0 N T +SEAGA S IY1 - G AH0 +SEAGAL S IH0 - G AA1 L +SEAGATE S IY1 - G EY2 T +SEAGATE'S S IY1 - G EY2 T S +SEAGER S IY1 - G ER0 +SEAGLE S IY1 - G AH0 L +SEAGO S IY1 - G OW2 +SEAGOING S IY1 - G OW2 - IH0 NG +SEAGRAM S IY1 - G R AH0 M +SEAGRAM'S S IY1 - G R AH0 M Z +SEAGRAMS S IY1 - G R AH0 M Z +SEAGRAMS' S IY1 - G R AH0 M Z +SEAGRAVE S IY1 - G R EY2 V +SEAGRAVES S IY1 - G R EY2 V Z +SEAGREN S IY1 - G R EH0 N +SEAGROVE S IY1 - G R OW2 V +SEAGROVES S IY1 - G R OW2 V Z +SEAGULL S IY1 - G AH2 L +SEAGULL'S S IY1 - G AH2 L Z +SEAGULLS S IY1 - G AH2 L Z +SEAHAWK S IY1 - HH AO2 K +SEAHAWKS S IY1 - HH AO2 K S +SEAHOLM S IY1 - HH OW2 M +SEAL S IY1 L +SEAL'S S IY1 L Z +SEALAND S IY1 - L AE2 N D +SEALAND'S S IY1 - L AE2 N D Z +SEALANT S IY1 - L AH0 N T +SEALANTS S IY1 - L AH0 N T S +SEALE S IY1 L +SEALED S IY1 L D +SEALER S IY1 - L ER0 +SEALES S IY1 L Z +SEALEY S IY1 - L IY0 +SEALEY'S S IY1 - L IY0 Z +SEALIFT S IY1 - L IH2 F T +SEALING S IY1 - L IH0 NG +SEALOCK S IY1 - L AA2 K +SEALS S IY1 L Z +SEALTEST S IY1 L - T EH2 S T +SEALY S IY1 - L IY0 +SEAM S IY1 M +SEAMAN S IY1 - M AH0 N +SEAMAN'S S IY1 - M AH0 N Z +SEAMANS S IY1 - M AH0 N Z +SEAMEN S IY1 - M AH0 N +SEAMEN'S S IY1 - M AH0 N Z +SEAMLESS S IY1 M - L AH0 S +SEAMLESSLY S IY1 M - L AH0 S - L IY0 +SEAMON S IY1 - M AH0 N +SEAMONS S IY1 - M AH0 N Z +SEAMS S IY1 M Z +SEAMSTER S IY1 M - 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K Y UH1 R - L IY0 +SECURES S IH0 - K Y UH1 R Z +SECURING S IH0 - K Y UH1 - R IH0 NG +SECURITIES S IH0 - K Y UH1 - R AH0 - T IY0 Z +SECURITIES' S IH0 - K Y UH1 - R AH0 - T IY0 Z +SECURITIZATION S IH0 - K Y UH2 - R AH0 - T AH0 - Z EY1 - SH AH0 N +SECURITIZE S IH0 - K Y UH1 - R AH0 - T AY2 Z +SECURITIZED S IH0 - K Y UH1 - R AH0 - T AY2 Z D +SECURITIZING S IH0 - K Y UH1 - R AH0 - T AY2 - Z IH0 NG +SECURITY S IH0 - K Y UH1 - R AH0 - T IY0 +SECURITY'S S IH0 - K Y UH1 - R AH0 - T IY0 Z +SEDA S EY1 - D AH0 +SEDAM S EH1 - D AH0 M +SEDAN S AH0 - D AE1 N +SEDANO S EY0 - D AA1 - N OW0 +SEDANS S IH0 - D AE1 N Z +SEDATE S IH0 - D EY1 T +SEDATED S IH0 - D EY1 - T IH0 D +SEDATING S AH0 - D EY1 - T IH0 NG +SEDATION S AH0 - D EY1 - SH AH0 N +SEDATIVE S EH1 - D AH0 - T IH0 V +SEDBERRY S EH1 D - B EH2 - R IY0 +SEDCO S EH1 D - K OW0 +SEDDON S EH1 - D AH0 N +SEDENTARY S EH1 - D AH0 N - T EH2 - R IY0 +SEDER S EY1 - D ER0 +SEDGE S EH1 JH +SEDGEWICK S EH1 JH - W IH0 K +SEDGLEY S EH1 JH - L IY0 +SEDGWICK S EH1 JH - 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B ER0 +SEEBERGER S IY1 - B ER0 - G ER0 +SEEBOLD S IY1 - B OW2 L D +SEEBURGER S IY1 - B ER0 - G ER0 +SEED S IY1 D +SEEDEATER S IY1 - D IY2 - T ER0 +SEEDEATERS S IY1 - D IY2 - T ER0 Z +SEEDED S IY1 - D AH0 D +SEEDED(2) S IY1 - D IH0 D +SEEDING S IY1 - D IH0 NG +SEEDLING S IY1 D - L IH0 NG +SEEDLINGS S IY1 D - L IH0 NG Z +SEEDORF S IY1 - D AO0 R F +SEEDPOD S IY1 D - P AA2 D +SEEDS S IY1 D Z +SEEDSMAN S IY1 D Z - M AH0 N +SEEDY S IY1 - D IY0 +SEEFELD S IY1 - F EH2 L D +SEEFELDT S IY1 - F IH0 L T +SEEGARS S IY1 - G ER0 Z +SEEGER S IY1 - G ER0 +SEEGERS S IY1 - G ER0 Z +SEEGERT S IY1 - G ER0 T +SEEGMILLER S IY1 G - M IH0 - L ER0 +SEEHAFER S IY1 - HH AH0 - F ER0 +SEEHUSEN S IY1 - HH UW0 - S AH0 N +SEEING S IY1 - IH0 NG +SEEK S IY1 K +SEEKAMP S IY1 - K AE2 M P +SEEKER S IY1 - K ER0 +SEEKER'S S IY1 - K ER0 Z +SEEKERS S IY1 - K ER0 Z +SEEKING S IY1 - K IH0 NG +SEEKINS S IY1 - K IH0 N Z +SEEKONK S IY1 - K AA0 NG K +SEEKS S IY1 K S +SEEL S IY1 L +SEELBACH S IY1 L - B AA2 K +SEELERT S IY1 - L ER0 T +SEELEY S IY1 - 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G AH0 - L AH0 S +SEGALL S EY0 - G AA1 L +SEGAR S IY1 - G ER0 +SEGARRA S EH0 - G AA1 - R AH0 +SEGARS S EH1 - G ER0 Z +SEGE S EH1 JH +SEGEL S IY1 - G AH0 L +SEGER S IY1 - G ER0 +SEGERS S IY1 - G ER0 Z +SEGERSTROM S EH1 - G ER0 - S T R AH0 M +SEGLER S EH1 G - L ER0 +SEGMENT S EH1 G - M AH0 N T +SEGMENT'S S EH1 G - M AH0 N T S +SEGMENT(2) S EH2 G - M EH1 N T +SEGMENTATION S EH2 G - M AH0 N - T EY1 - SH AH0 N +SEGMENTED S EH1 G - M EH2 N - T IH0 D +SEGMENTED(2) S EH2 G - M EH1 N - T IH0 D +SEGMENTED(3) S EH1 G - M EH2 - N IH0 D +SEGMENTED(4) S EH2 G - M EH1 - N IH0 D +SEGMENTS S EH1 G - M AH0 N T S +SEGMENTS(2) S EH2 G - M EH1 N T S +SEGNER S EH1 G - N ER0 +SEGO S IY1 - G OW2 +SEGOVIA S EH0 - G OW1 - V IY0 - AH0 +SEGRAVES S EY0 - G R AA1 - V EH0 S +SEGREGATE S EH1 - G R AH0 - G EY2 T +SEGREGATED S EH1 - G R AH0 - G EY2 - T IH0 D +SEGREGATING S EH1 - G R IH0 - G EY2 - T IH0 NG +SEGREGATION S EH2 - G R AH0 - G EY1 - SH AH0 N +SEGREGATIONIST S EH2 - G R AH0 - G EY1 - SH AH0 N - IH0 S T +SEGREGATIONISTS S EH2 - G R AH0 - G EY1 - SH AH0 N - IH0 S T S +SEGREGATIONISTS(2) S EH2 - G R AH0 - G EY1 - SH AH0 N - IH0 S S +SEGREGATIONISTS(3) S EH2 - G R AH0 - G EY1 - SH AH0 N - IH0 S +SEGREST S EH1 - G ER0 - IH0 S T +SEGREST(2) S IY1 - G R EH2 S T +SEGRETO S EH0 - G R EH1 - T OW0 +SEGUE S EH1 G +SEGUIN S AH0 - G IY1 N +SEGUIN(2) S IY1 - G AH0 N +SEGUNDO S EH2 - G UH1 N - D OW2 +SEGUR S EY0 - G UH1 R +SEGURA S EY0 - G UH1 - R AH0 +SEGUROS S EY2 - G Y ER1 - OW0 Z +SEHER S EH1 - HH ER0 +SEHNERT S EH1 - N ER0 T +SEHORN S EH1 - HH ER0 N +SEHR S EH1 R +SEIB S IY1 B +SEIBEL S AY1 - B AH0 L +SEIBER S AY1 - B ER0 +SEIBERLICH S AY1 - B ER0 - L IH0 K +SEIBERLING S AY1 - B ER0 - L IH0 NG +SEIBERT S AY1 - B ER0 T +SEIBOLD S AY1 - B OW2 L D +SEIBU S AY1 - B UW0 +SEID S AY1 D +SEIDE S AY1 D +SEIDEL S AY1 - D AH0 L +SEIDELL S AY1 - D AH0 L +SEIDELMAN S AY1 - D AH0 L - M AH0 N +SEIDEN S AY1 - D AH0 N +SEIDENBERG S AY1 - D AH0 N - B ER0 G +SEIDER S AY1 - D ER0 +SEIDERS S AY1 - D ER0 Z +SEIDL S AY1 - D AH0 L +SEIDLER S AY1 D - L ER0 +SEIDMAN S AY1 D - M AH0 N +SEIDMAN'S S AY1 D - M AH0 N Z +SEIDNER S AY1 D - N ER0 +SEIER S AY1 - ER0 +SEIF S IY1 F +SEIFE S IY1 F +SEIFER S AY1 - F ER0 +SEIFERT S AY1 - F ER0 T +SEIFFERT S AY1 - F ER0 T +SEIFRIED S AY1 - F ER0 - IY0 D +SEIGAL S IY1 - G AH0 L +SEIGE S IY1 JH +SEIGEL S AY1 - G AH0 L +SEIGEL(2) S IY1 - G AH0 L +SEIGER S AY1 - G ER0 +SEIGLE S IY1 - G AH0 L +SEIGLER S AY1 - G AH0 - L ER0 +SEIGLER(2) S IY1 - G AH0 - L ER0 +SEIGLER(3) S IY1 G - L ER0 +SEIGNIORAGE S IY2 G - N IY1 - ER0 - IH0 JH +SEIJI S EY1 - JH IY0 +SEIKI S EY1 - K IY0 +SEIKO S EY1 - K OW0 +SEIL S AY1 L +SEILER S AY1 - L ER0 +SEILS S AY1 L Z +SEIM S AY1 M +SEIN S AY1 N +SEINE S EY1 - N IY0 +SEINFELD S AY1 N - F EH0 L D +SEINFELD'S S AY1 N - F EH0 L D Z +SEIP S IY1 P +SEIPEL S AY1 - P AH0 L +SEIPLE S IY1 - P AH0 L +SEIPP S IY1 P +SEIS S IY1 S +SEISER S AY1 - S ER0 +SEISMIC S AY1 Z - M IH0 K +SEISMOLOGIST S AY2 Z - M AA1 - L AH0 - JH AH0 S T +SEISMOLOGISTS S AY2 Z - M AA1 - L AH0 - JH AH0 S T S +SEISMOLOGISTS(2) S AY2 Z - M AA1 - L AH0 - JH AH0 S S +SEISMOLOGISTS(3) S AY2 Z - M AA1 - L AH0 - JH AH0 S +SEISMOLOGY S AY2 Z - M AA1 - L AH0 - JH IY0 +SEITA S EY1 - T AH0 +SEITEL S IY1 - T EH2 L +SEITER S AY1 - T ER0 +SEITH S IY1 TH +SEITHER S AY1 - DH ER0 +SEITMAN S IY1 T - M AH0 N +SEITTER S AY1 - T ER0 +SEITZ S AY1 T S +SEITZINGER S AY1 T - Z IH0 - NG ER0 +SEIVERT S AY1 - V ER0 T +SEIWERT S AY1 - W ER0 T +SEIX S IY1 K S +SEIXAS S IY1 K - S AH0 S +SEIYAKU S EY2 - Y AA1 - K UW2 +SEIYU S IY1 - Y UW0 +SEIZE S IY1 Z +SEIZED S IY1 Z D +SEIZES S IY1 - Z IH0 Z +SEIZING S IY1 - Z IH0 NG +SEIZURE S IY1 - ZH ER0 +SEIZURES S IY1 - ZH ER0 Z +SEJM S EY1 M +SEKERAK S EH1 - K ER0 - AH0 K +SEKI S EY1 - K IY0 +SEKISUI S EY2 - K IH0 - S UW1 - IY0 +SEKULA S IH0 - K UW1 - L AH0 +SEKULOW S EH1 - K UW0 - L OW0 +SELA S EH1 - L AH0 +SELANDER S EH1 - L AH0 N - D ER0 +SELAS S EH1 - L AH0 S +SELASSIE S AH0 - L AE1 - S IY0 +SELBE S EH1 L B +SELBERG S EH1 L - B ER0 G +SELBY S EH1 L - B IY0 +SELCHOW S EH1 L - CH AW0 +SELDA S EH1 L - D AH0 +SELDANE S EH1 L - D EY2 N +SELDEN S EH1 L - D AH0 N +SELDERS S EH1 L - D ER0 Z +SELDIN S EH1 L - D IH0 N +SELDOM S EH1 L - D AH0 M +SELDON S EH1 L - D AH0 N +SELECT S AH0 - L EH1 K T +SELECTED S AH0 - L EH1 K - T AH0 D +SELECTED(2) S AH0 - L EH1 K - T IH0 D +SELECTING S AH0 - L EH1 K - T IH0 NG +SELECTION S AH0 - L EH1 K - SH AH0 N +SELECTIONS S AH0 - L EH1 K - SH AH0 N Z +SELECTIVE S AH0 - L EH1 K - T IH0 V +SELECTIVELY S AH0 - L EH1 K - T IH0 V - L IY0 +SELECTIVITY S IH0 - L EH2 K - T IH1 - V AH0 - T IY0 +SELECTNET S AH0 - L EH1 K T - N EH2 T +SELECTS S AH0 - L EH1 K T S +SELENA S AH0 - L IY1 - N AH0 +SELENA'S S AH0 - L IY1 - N AH0 Z +SELENE S AH0 - L IY1 N +SELENITE S EH1 - L IH0 - N AY2 T +SELENIUM S AH0 - L IY1 - N IY0 - AH0 M +SELES S EH1 - L EH0 S +SELES' S EH1 - L EH0 S +SELEY S IY1 - L IY0 +SELF S EH1 L F +SELF'S S EH1 L F S +SELF-AGGRANDIZEMENT S EH1 L - F AE1 - G R AH0 N - D AY2 Z - M AH0 N T +SELF-AGGRANDIZING S EH1 L - F AH0 - G R AE1 N - D AY2 - Z IH0 NG +SELF-CONFIDENCE S EH1 L F - K AA1 N - F AH0 - D AH0 N S +SELF-CONFIDENT S EH1 L F - K AA1 N - F AH0 - D AH0 N T +SELF-CONGRATULATION S EH1 L F - K AH0 N - G R AE2 - CH AH0 - L EY1 - SH AH0 N +SELF-CONSISTENT S EH2 L F - K AH0 N - S IH1 - S T AH0 N T +SELF-CONTAINED S EH1 L F - K AH0 N - T EY1 N D +SELF-CONTROL S EH1 L F - K AH0 N - T R OW1 L +SELF-DECEIVING S EH2 L F - D IY0 - S IY1 - V IH0 NG +SELF-DECEPTION S EH1 L F - D AH0 - S EH1 P - SH AH0 N +SELF-DELIVERANCE S EH1 L F - D IH0 - L IH1 - V ER0 - AH0 N S +SELF-DEPRECATING S EH1 L F - D EH1 - P R AH0 - K EY2 - T IH0 NG +SELF-DETERMINATION S EH1 L F - D IH0 - T ER2 - M AH0 - N EY1 - SH AH0 N +SELF-DORMANT S EH1 L F - D AO1 R - M AH0 N T +SELF-ENERGIZING S EH1 L - F EH1 - N ER0 - JH AY2 - Z IH0 NG +SELF-ENRICHMENT S EH2 L - F AH0 N - R IH1 CH - M AH0 N T +SELF-FERTILIZING S EH1 L F - F ER1 - T AH0 - L AY2 - Z IH0 NG +SELF-FRUITFUL S EH1 L F - F R UW1 T - F AH0 L +SELF-GOVERN S EH1 L F - G AH1 - V ER0 N +SELF-GOVERNING S EH1 L F - G AH1 - V ER0 - N IH0 NG +SELF-GOVERNMENT S EH1 L F - G AH1 - V ER0 N - M AH0 N T +SELF-HELP S EH1 L F - HH EH1 L P +SELF-IMPROVEMENT S EH1 L - F IH0 M - P R UW1 V - M AH0 N T +SELF-PERPETUATE S EH2 L F - P ER0 - P EH1 - CH UW0 - EY2 T +SELF-PERPETUATING S EH2 L F - P ER0 - P EH1 - CH UW0 - EY2 - T IH0 NG +SELF-PERPETUATION S EH1 L F - P ER0 - P EH2 - CH UW0 - EY1 - SH AH0 N +SELF-POLLINATE S EH1 L - F P AA1 - L AH0 - N EY2 T +SELF-PORTRAIT S EH1 L F - P AO1 R - T R AH0 T +SELF-PROFESSED S EH1 L F - P R AH0 - F EH1 S T +SELF-SUBSISTENCE S EH1 L F - S AH0 B - S IH1 - S T AH0 N S +SELF-SUFFICIENCY S EH1 L F - S AH0 - F IH1 - SH AH0 N - S IY0 +SELF-SUFFICIENT S EH1 L F - S AH0 - F IH1 - SH AH0 N T +SELF-SUFFICIENT(2) S EH1 L F - S AH0 - F IH1 - SH IH0 N T +SELF-TORMENT S EH1 L F - T AO1 R - M EH2 N T +SELF-TORMENTS S EH1 L F - T AO1 R - M EH2 N T S +SELFISH S EH1 L - F IH0 SH +SELFISHNESS S EH1 L - F IH0 SH - N AH0 S +SELFLESS S EH1 L F - L AH0 S +SELFLESSNESS S EH1 L F - L AH0 S - N IH0 S +SELFRIDGE S EH1 L - F R IH0 JH +SELFS S EH1 L F S +SELIA S EH1 - L IY0 - AH0 +SELIE S EH1 - L IY0 +SELIES S EH1 - L IY0 Z +SELIES' S EH1 - L IY0 Z +SELIG S EH1 - L IH0 G +SELIGA S EH1 - L IH0 - G AH0 +SELIGER S EH1 - L IH0 - G ER0 +SELIGMAN S EH1 - L IH0 G - M AH0 N +SELIGMANN S EH1 - L IH0 G - M AH0 N +SELIGSON S EH1 - L IH0 G - S AH0 N +SELIKOFF S EH1 - L IH0 - K AO2 F +SELIN S EH1 - L IH0 N +SELINA S AH0 - L IY1 - N AH0 +SELINAS S AH0 - L IY1 - N AH0 Z +SELINAS'S S AH0 - L IY1 - N AH0 - S IH0 Z +SELINAS(2) S AH0 - L IY1 - N AH0 S +SELINDA S EH0 - L IY1 N - D AH0 +SELINGER S EH1 - L IH0 - NG ER0 +SELK S EH1 L K +SELKE S EH1 L K +SELKIN S EH1 L - K IH0 N +SELKIRK S EH1 L - K ER0 K +SELKIRK'S S EH1 L - K ER0 K S +SELL S EH1 L +SELLA S EH1 - L AH0 +SELLAND S EH1 - L AH0 N D +SELLARDS S EH1 - L ER0 D Z +SELLARS S EH1 - L ER0 Z +SELLARS'S S EH1 - L ER0 - Z IH0 Z +SELLE S EH1 L +SELLECK S EH1 - L IH0 K +SELLEN S EH1 - L AH0 N +SELLER S EH1 - L ER0 +SELLER'S S EH1 - L ER0 Z +SELLERS S EH1 - L ER0 Z +SELLERS' S EH1 - L ER0 Z +SELLEY S EH1 - L IY0 +SELLICK S EH1 - L IH0 K +SELLIER S EH1 L - Y ER0 +SELLIN S EH1 - L IH0 N +SELLING S EH1 - L IH0 NG +SELLINGER S EH1 - L IH0 - NG ER0 +SELLINGS S EH1 - L IH0 NG Z +SELLMAN S EH1 L - M AH0 N +SELLMEYER S EH1 L - M AY0 - ER0 +SELLNER S EH1 L - N ER0 +SELLOFF S EH1 L - AO2 F +SELLOFFS S EH1 - L AO2 F S +SELLON S EH1 - L AH0 N +SELLOUT S EH1 L - AW2 T +SELLOUTS S EH1 L - AW2 T S +SELLS S EH1 L Z +SELMA S EH1 L - M AH0 +SELMAN S EH1 L - M AH0 N +SELMER S EH1 L - M ER0 +SELMON S EH1 L - M AH0 N +SELNER S EH1 L - N ER0 +SELOVER S EH1 - L AH0 - V ER0 +SELOWSKY S EH0 - L AW1 S - K IY0 +SELPH S EH1 L F +SELSOR S EH1 L - S ER0 +SELTZ S EH1 L T S +SELTZER S EH1 L T - S ER0 +SELVA S EY1 L - V AH0 +SELVAGE S EH1 L - V IH0 JH +SELVAGGIO S EH0 L - V AA1 - JH IY0 - OW0 +SELVES S EH1 L V Z +SELVEY S EH1 L - V IY0 +SELVIDGE S EH1 L - V IH0 JH +SELVIG S EH1 L - V IH0 G +SELWAY S EH1 L - W EY2 +SELWIN S EH1 L - W IH0 N +SELWITZ S EH1 L - W IH0 T S +SELWYN S EH1 L - W IH0 N +SELZ S EH1 L Z +SELZER S EH1 L - Z ER0 +SELZER'S S EH1 L - Z ER0 Z +SEMA S IY1 - M AH0 +SEMAN S IY1 - M AH0 N +SEMANS S IY1 - M AH0 N Z +SEMANTIC S IH0 - M AE1 N - T IH0 K +SEMANTICS S IH0 - M AE1 N - T IH0 K S +SEMATECH S EH1 - M AH0 - T EH2 K +SEMBER S EH1 M - B ER0 +SEMBLANCE S EH1 M - B L AH0 N S +SEMEGRAN S EH1 - M AH0 - G R AH0 N +SEMEL S EH1 - M AH0 L +SEMELE S EH1 - M AH0 - L IY2 +SEMEN S IY1 - M AH0 N +SEMENZA S EH0 - M EH1 N - Z AH0 +SEMERAD S EH1 - M ER0 - AE0 D +SEMESTER S AH0 - M EH1 - S T ER0 +SEMESTERS S AH0 - M EH1 - S T ER0 Z +SEMI S EH1 - M IY0 +SEMI(2) S EH1 - M AY0 +SEMI-COLON S EH1 - M IY0 - K OW1 - L AH0 N +SEMI-COLON(2) S EH1 - M AH0 - K OW1 - L AH0 N +SEMI-HEIGHT S EH1 - M IY0 - HH AY1 T +SEMI-HEIGHT(2) S EH1 - M IH0 - HH AY1 T +SEMI-HEIGHT(3) S EH1 - M AY0 - HH AY1 T +SEMI-HEIGHTS S EH1 - M IY0 - HH AY1 T S +SEMI-HEIGHTS(2) S EH1 - M AY0 - HH AY1 T S +SEMI-HEIGHTS(3) S EH1 - M IH0 - HH AY1 T S +SEMIANNUAL S EH2 - M IY0 - AE1 - N Y AH0 - W AH0 L +SEMIANNUAL(2) S EH2 - M AY0 - AE1 - N Y AH0 - W AH0 L +SEMIANNUAL(3) S EH2 - M AH0 - AE1 - N Y AH0 - W AH0 L +SEMIANNUALLY S EH2 - M IY0 - AE1 - N UW0 - AH0 - L IY0 +SEMIANNUALLY(2) S EH2 - M AY0 - AE1 - N UW0 - AH0 - L IY0 +SEMIANNUALLY(3) S EH2 - M IY0 - AE1 - N UW0 - L IY0 +SEMIANNUALLY(4) S EH2 - M AY0 - AE1 - N UW0 - L IY0 +SEMIANNUALLY(5) S EH2 - M IH0 - AE1 - N UW0 - L IY0 +SEMIANNUALLY(6) S EH2 - M IH0 - AE1 - N UW0 - AH0 - L IY0 +SEMIAUTOMATIC S EH2 - M IY0 - AO2 - T AH0 - M AE1 - T IH0 K +SEMIAUTOMATIC(2) S EH2 - M AY0 - AO2 - T AH0 - M AE1 - T IH0 K +SEMIAUTOMATIC(3) S EH2 - M IH0 - AO2 - T AH0 - M AE1 - T IH0 K +SEMICIRCULAR S EH2 - M IY0 - S ER1 - K Y AH0 - L ER0 +SEMICIRCULAR(2) S EH2 - M AY0 - S ER1 - K Y AH0 - L ER0 +SEMICIRCULAR(3) S EH2 - M AH0 - S ER1 - K Y AH0 - L ER0 +SEMICLAD S EH1 - M IY0 - K L AE2 D +SEMICLAD(2) S EH1 - M AY0 - K L AE2 D +SEMICLAD(3) S EH1 - M AH0 - K L AE2 D +SEMICLASSICAL S EH2 - M IY0 - K L AE1 - S IH0 - K AH0 L +SEMICLASSICAL(2) S EH2 - M IH0 - K L AE1 - S IH0 - K AH0 L +SEMICLASSICAL(3) S EH2 - M AY0 - K L AE1 - S IH0 - K AH0 L +SEMICON S EH1 - M IH0 - K AA2 N +SEMICONDUCTOR S EH2 - M IY0 - K AH0 N - D AH1 K - T ER0 +SEMICONDUCTOR'S S EH2 - M IY0 - K AH0 N - D AH1 K - T ER0 Z +SEMICONDUCTOR'S(2) S EH2 - M IH0 - K AH0 N - D AH1 K - T ER0 Z +SEMICONDUCTOR'S(3) S EH2 - M AY0 - K AH0 N - D AH1 K - T ER0 Z +SEMICONDUCTOR(2) S EH2 - M IH0 - K AH0 N - D AH1 K - T ER0 +SEMICONDUCTOR(3) S EH2 - M AY0 - K AH0 N - D AH1 K - T ER0 +SEMICONDUCTORS S EH2 - M IY0 - K AH0 N - D AH1 K - T ER0 Z +SEMICONDUCTORS(2) S EH2 - M IH0 - K AH0 N - D AH1 K - T ER0 Z +SEMICONDUCTORS(3) S EH2 - M AY0 - K AH0 N - D AH1 K - T ER0 Z +SEMICYLINDRICAL S EH2 - M IY0 - S AH0 - L IH1 N - D R IH0 - K AH0 L +SEMICYLINDRICAL(2) S EH2 - M IH0 - S AH0 - L IH1 N - D R IH0 - K AH0 L +SEMICYLINDRICAL(3) S EH2 - M AY0 - S AH0 - L IH1 N - D R IH0 - K AH0 L +SEMIDRY S EH2 - M IY0 - D R AY1 +SEMIDRY(2) S EH2 - M IH0 - D R AY1 +SEMIDRY(3) S EH2 - M AY0 - D R AY1 +SEMIDRYING S EH2 - M IY0 - D R AY1 - IH0 NG +SEMIDRYING(2) S EH2 - M IH0 - D R AY1 - IH0 NG +SEMIDRYING(3) S EH2 - M AY0 - D R AY1 - IH0 NG +SEMIEN S EH1 - M IY0 N +SEMIFINAL S EH2 - M IY0 - F AY1 - N AH0 L +SEMIFINAL(2) S EH2 - M IH0 - F AY1 - N AH0 L +SEMIFINAL(3) S EH2 - M AY0 - F AY1 - N AH0 L +SEMIFINALIST S EH2 - M IY0 - F AY1 - N AH0 L - IH0 S T +SEMIFINALIST(2) S EH2 - M IH0 - F AY1 - N AH0 - L IH0 S T +SEMIFINALIST(3) S EH2 - M AY0 - F AY1 - N AH0 - L IH0 S T +SEMIFINALISTS S EH2 - M IY0 - F AY1 - N AH0 L - IH0 S T S +SEMIFINALISTS(2) S EH2 - M IY0 - F AY1 - N AH0 L - IH0 S S +SEMIFINALISTS(3) S EH2 - M IY0 - F AY1 - N AH0 L - IH0 S +SEMIFINALISTS(4) S EH2 - M AY0 - F AY1 - N AH0 - L IH0 S T S +SEMIFINALISTS(5) S EH2 - M AY0 - F AY1 - N AH0 L - IH0 S S +SEMIFINALISTS(6) S EH2 - M AY0 - F AY1 - N AH0 L - IH0 S +SEMIFINALISTS(7) S EH2 - M IH0 - F AY1 - N AH0 - L IH0 S T S +SEMIFINALISTS(8) S EH2 - M IH0 - F AY1 - N AH0 L - IH0 S S +SEMIFINALISTS(9) S EH2 - M IH0 - F AY1 - N AH0 L - IH0 S +SEMIFINALS S EH2 - M IY0 - F AY1 - N AH0 L Z +SEMIFINALS(2) S EH2 - M IH0 - F AY1 - N AH0 L Z +SEMIFINALS(3) S EH2 - M AY0 - F AY1 - N AH0 L Z +SEMIFINISH S EH2 - M IY0 - F IH1 - N IH0 SH +SEMIFINISH(2) S EH2 - M AY0 - F IH1 - N IH0 SH +SEMIFINISH(3) S EH2 - M IH0 - F IH1 - N IH0 SH +SEMIFINISHED S EH2 - M IY0 - F IH1 - N IH0 SH T +SEMIFINISHED(2) S EH2 - M AY0 - F IH1 - N IH0 SH T +SEMIFINISHED(3) S EH2 - M IH0 - F IH1 - N IH0 SH T +SEMIGLOSS S EH2 - M IY0 - G L AA1 S +SEMIGLOSS(2) S EH2 - M IH0 - G L AA1 S +SEMILEGENDARY S EH2 - M IY0 - L EH1 - JH AH0 N - D EH2 - R IY0 +SEMILEGENDARY(2) S EH2 - M IH0 - L EH1 - JH AH0 N - D EH2 - R IY0 +SEMINAL S EH1 - M AH0 - N AH0 L +SEMINAR S EH1 - M AH0 - N AA2 R +SEMINARA S EH2 - M IH0 - N AA1 - R AH0 +SEMINARIAN S EH2 - M AH0 - N EH1 - R IY0 - AH0 N +SEMINARIANS S EH2 - M AH0 - N EH1 - R IY0 - AH0 N Z +SEMINARIES S EH1 - M AH0 - N EH2 - R IY0 Z +SEMINARIO S EH2 - M IH0 - N EH1 - R IY0 - OW0 +SEMINARS S EH1 - M AH0 - N AA2 R Z +SEMINARY S EH1 - M AH0 - N EH2 - R IY0 +SEMINOLE S EH1 - M IH0 - N OW2 L +SEMINOLES S EH1 - M IH0 - N OW2 L Z +SEMIONENKOV S EH2 - M IY0 - OW0 - N EH1 NG - K AA0 V +SEMIOTIC S EH2 - M IY0 - AA1 - T IH0 K +SEMIOTICS S EH2 - M IY0 - AA1 - T IH0 K S +SEMIPERMANENT S EH2 - M IY0 - P ER1 - M AH0 - N AH0 N T +SEMIPERMANENT(2) S EH2 - M IH0 - P ER1 - M AH0 - N AH0 N T +SEMIPERMANENT(3) S EH2 - M AY0 - P ER1 - M AH0 - N AH0 N T +SEMIPRECIOUS S EH2 - M IY0 - P R EH1 - SH AH0 S +SEMIPRECIOUS(2) S EH2 - M IH0 - P R EH1 - SH AH0 S +SEMIPRECIOUS(3) S EH2 - M AY0 - P R EH1 - SH AH0 S +SEMIRA S EH0 - M IH1 - R AH0 +SEMIRELIGIOUS S EH2 - M IY0 - R IH0 - L IH1 - JH AH0 S +SEMIRELIGIOUS(2) S EH2 - M IH0 - R IH0 - L IH1 - JH AH0 S +SEMIRELIGIOUS(3) S EH2 - M AY0 - R IH0 - L IH1 - JH AH0 S +SEMIS S EH1 - M AY0 Z +SEMISECRECY S EH2 - M IY0 - S IY1 - K R AH0 - S IY0 +SEMISECRECY(2) S EH2 - M IH0 - S IY1 - K R AH0 - S IY0 +SEMITE S EH1 - M AY0 T +SEMITIC S AH0 - M IH1 - T IH0 K +SEMITISM S EH1 - M IH0 - T IH2 - Z AH0 M +SEMITRAILER S EH2 - M IY0 - T R EY1 - L ER0 +SEMITRAILER(2) S EH2 - M IH0 - T R EY1 - L ER0 +SEMITROPICAL S EH2 - M IY0 - T R AA1 - P IH0 - K AH0 L +SEMITROPICAL(2) S EH2 - M IH0 - T R AA1 - P IH0 - K AH0 L +SEMITROPICAL(3) S EH2 - M AY0 - T R AA1 - P IH0 - K AH0 L +SEMLER S EH1 M - L ER0 +SEMMEL S EH1 - M AH0 L +SEMMENS S EH1 - M AH0 N Z +SEMMES S EH1 M Z +SEMMLER S EH1 M - L ER0 +SEMON S EH1 - M AH0 N +SEMONES S EY0 - M OW1 - N EH0 S +SEMPLE S EH1 M - P AH0 L +SEMRAD S EH1 M - R AH0 D +SEMRAU S EH1 M - R AW0 +SEMROW S EH1 M - R OW0 +SEMTEX S EH1 M - T EH0 K S +SEN S EH1 N +SEN(2) S EH1 - N AH0 - T ER0 +SENA S EH1 - N AH0 +SENATE S EH1 - N AH0 T +SENATE'S S EH1 - N IH0 T S +SENATE(2) S EH1 - N IH0 T +SENATOR S EH1 - N AH0 - T ER0 +SENATOR'S S EH1 - N AH0 - T ER0 Z +SENATORE S EH0 - N AA0 - T AO1 - R IY0 +SENATORIAL S EH2 - N AH0 - T AO1 - R IY0 - AH0 L +SENATORS S EH1 - N AH0 - T ER0 Z +SENATORS' S EH1 - N AH0 - T ER0 Z +SEND S EH1 N D +SENDAK S EH1 N - D AE0 K +SENDELBACH S EH1 N - D IH0 L - B AA0 K +SENDER S EH1 N - D ER0 +SENDERO S EH0 N - D EH1 - R OW0 +SENDERS S EH1 N - D ER0 Z +SENDING S EH1 N - D IH0 NG +SENDO S EH1 N - D OW0 +SENDS S EH1 N D Z +SENECA S EH1 - N AH0 - K AH0 +SENECAL S EH1 - N IH0 - K AH0 L +SENECHAL S EH1 - N IH0 - K AH0 L +SENEFF S EH1 - N AH0 F +SENEGAL S EH2 - N AH0 - G AO1 L +SENEKER S EH1 - N AH0 - K ER0 +SENESAC S EH1 - N IH0 - S AE0 K +SENESCENCE S AH0 - N EH1 - S AH0 N S +SENESE S EH1 - N IY0 Z +SENEY S EH1 - N IY0 +SENF S EH1 N F +SENFF S EH1 N F +SENFT S EH1 N F T +SENG S EH1 NG +SENGER S EH1 - NG ER0 +SENGERS S EH1 - NG ER0 Z +SENILE S IY1 - N AY2 L +SENILITY S AH0 - N IH1 - L AH0 - T IY0 +SENIOR S IY1 - N Y ER0 +SENIORITY S IY0 - N Y AO1 - R IH0 - T IY0 +SENIORNET S IY1 - N Y ER0 - N EH2 T +SENIORS S IY1 - N Y ER0 Z +SENK S EH1 NG K +SENKBEIL S EH1 NG K - B AY2 L +SENKO S EH1 NG - K OW0 +SENN S EH1 N +SENNA S EH1 - N AH0 +SENNE S EH1 N +SENNER S EH1 - N ER0 +SENNET S EH1 - N AH0 T +SENNETT S EH1 - N IH0 T +SENNOTT S EH1 - N AH0 T +SENOR S IY2 - N Y AO1 R +SENORA S IY2 - N Y AO1 - R AH0 +SENS S EH1 N Z +SENSABAUGH S EH1 N - S AH0 - B AO2 +SENSATION S EH0 N - S EY1 - SH AH0 N +SENSATIONAL S EH0 N - S EY1 - SH AH0 - N AH0 L +SENSATIONALISM S EH0 N - S EY1 - SH AH0 N - AH0 - L IH2 - Z AH0 M +SENSATIONALIST S EH0 N - S EY1 - SH AH0 N - AH0 - L IH0 S T +SENSATIONALISTIC S EH0 N - S EY2 - SH AH0 N - AH0 - L IH1 - S T IH0 K +SENSATIONALIZE S EH0 N - S EY2 - SH AH0 N - AH0 - L AY1 Z +SENSATIONALIZED S EH0 N - S EY2 - SH AH0 N - AH0 - L AY1 Z D +SENSATIONALIZES S EH0 N - S EY2 - SH AH0 N - AH0 - L AY1 - Z IH0 Z +SENSATIONALIZING S EH0 N - S EY2 - SH AH0 N - AH0 - L AY1 - Z IH0 NG +SENSATIONS S EH0 N - S EY1 - SH AH0 N Z +SENSE S EH1 N S +SENSE-DATA S EH1 N S - D EY2 - T AH0 +SENSE-DATA(2) S EH1 N S - D AE2 - T AH0 +SENSE-DATAS S EH1 N S - D EY1 - T AH0 Z +SENSE-DATAS(2) S EH1 N S - D AE1 - T AH0 Z +SENSE-DATUM S EH1 N S - D AE1 - T AH0 M +SENSE-DATUM(2) S EH1 N S - D EY1 - T AH0 M +SENSED S EH1 N S T +SENSELESS S EH1 N S - L AH0 S +SENSENBRENNER S EH1 N - S AH0 N - B R EH2 - N ER0 +SENSENEY S EH1 N - S IH0 - N IY0 +SENSENIG S EH1 N - S IH0 - N IH0 G +SENSES S EH1 N - S IH0 Z +SENSIBILITIES S EH2 N - S IH0 - B IH1 - L IH0 - T IY0 Z +SENSIBILITY S EH2 N - S IH0 - B IH1 - L IH0 - T IY0 +SENSIBLE S EH1 N - S AH0 - B AH0 L +SENSIBLY S EH1 N - S AH0 - B L IY0 +SENSING S EH1 N - S IH0 NG +SENSITIVE S EH1 N - S AH0 - T IH0 V +SENSITIVE(2) S EH1 N - S IH0 - T IH0 V +SENSITIVELY S EH1 N - S IH0 - T IH0 V - L IY0 +SENSITIVENESS S EH1 N - S AH0 - T IH0 V - N AH0 S +SENSITIVITIES S EH2 N - S IH0 - T IH1 - V IH0 - T IY0 Z +SENSITIVITY S EH2 N - S IH0 - T IH1 - V IH0 - T IY0 +SENSITIZE S EH1 N - S AH0 - T AY2 Z +SENSITIZED S EH1 N - S AH0 - T AY2 Z D +SENSKE S EH1 N S K +SENSOR S EH1 N - S ER0 +SENSOR'S S EH1 N - S ER0 Z +SENSORMATIC S EH2 N - S ER0 - M AE1 - T IH0 K +SENSORS S EH1 N - S ER0 Z +SENSORY S EH1 N - S ER0 - IY0 +SENSUAL S EH1 N - CH AH0 - W AH0 L +SENSUALITY S EH2 N - CH AH0 W - AE1 - L AH0 - T IY0 +SENSUOUS S EH1 N - CH AH0 W - AH0 S +SENT S EH1 N T +SENTELL S EH1 N - T AH0 L +SENTELLE S EH0 N - T EH1 L +SENTENCE S EH1 N - T AH0 N S +SENTENCED S EH1 N - T AH0 N S T +SENTENCES S EH1 N - T AH0 N - S AH0 Z +SENTENCES(2) S EH1 N - T AH0 N - S IH0 Z +SENTENCING S EH1 N - T AH0 N - S IH0 NG +SENTER S EH1 N - T ER0 +SENTERS S EH1 N - T ER0 Z +SENTIMENT S EH1 N - T AH0 - M AH0 N T +SENTIMENT(2) S EH1 - N AH0 - M AH0 N T +SENTIMENTAL S EH2 N - T AH0 - M EH1 N - T AH0 L +SENTIMENTAL(2) S EH2 - N AH0 - M EH1 N - T AH0 L +SENTIMENTAL(3) S EH2 N - T AH0 - M EH1 - N AH0 L +SENTIMENTAL(4) S EH2 - N AH0 - M EH1 - N AH0 L +SENTIMENTALITY S EH2 N - T AH0 - M EH0 N - T AE1 - L IH0 - T IY0 +SENTIMENTALITY(2) S EH2 - N AH0 - M EH0 N - T AE1 - L IH0 - T IY0 +SENTIMENTS S EH1 N - T AH0 - M AH0 N T S +SENTIMENTS(2) S EH1 - N AH0 - M AH0 N T S +SENTINEL S EH1 N - T AH0 - N AH0 L +SENTINELS S EH1 N - T AH0 - N AH0 L Z +SENTMAN S EH1 N T - M AH0 N +SENTRA S EH1 N - T R AH0 +SENTRAS S EH1 N - T R AH0 S +SENTRIES S EH1 N - T R IY0 Z +SENTRY S EH1 N - T R IY0 +SENTZ S EH1 N T S +SENZAKI S EY0 N - Z AA1 - K IY0 +SEO S IY1 - OW0 +SEO(2) S EY1 - OW0 +SEOUL S OW1 L +SEOUL'S S OW1 L Z +SEOW S IY1 - OW0 +SEOW'S S IY1 - OW2 Z +SEOW(2) S IY1 - AW0 +SEP S EH1 P +SEP(2) EH1 - S IY1 - P IY1 +SEPARATE S EH1 - P ER0 - EY2 T +SEPARATE(2) S EH1 - P ER0 - IH0 T +SEPARATE(3) S EH1 - P R AH0 T +SEPARATED S EH1 - P ER0 - EY2 - T AH0 D +SEPARATED(2) S EH1 - P ER0 - EY2 - T IH0 D +SEPARATELY S EH1 - P ER0 - AH0 T - L IY0 +SEPARATELY(2) S EH1 - P R AH0 T - L IY0 +SEPARATENESS S EH1 - P ER0 - AH0 T - N AH0 S +SEPARATES S EH1 - P ER0 - EY2 T S +SEPARATES(2) S EH1 - P ER0 - IH0 T S +SEPARATING S EH1 - P ER0 - EY2 - T IH0 NG +SEPARATION S EH2 - P ER0 - EY1 - SH AH0 N +SEPARATIONS S EH2 - P ER0 - EY1 - SH AH0 N Z +SEPARATISM S EH1 - P ER0 - AH0 - T IH2 - Z AH0 M +SEPARATIST S EH1 - P ER0 - AH0 - T IH0 S T +SEPARATISTS S EH1 - P ER0 - AH0 - T IH0 S T S +SEPARATISTS(2) S EH1 - P R AH0 - T IH0 S T S +SEPARATISTS(3) S EH1 - P R AH0 - T IH0 S S +SEPARATISTS(4) S EH1 - P R AH0 - T IH0 S +SEPE S IY1 P +SEPEDA S EY0 - P EY1 - D AH0 +SEPHARDIC S AH0 - F AA1 R - D IH0 K +SEPHARDIM S IH0 - F AA1 R - D IH0 M +SEPHARDIM(2) S EH0 - F AA2 R - D IY1 M +SEPHLON S EH1 - F L AO0 N +SEPHLON'S S EH1 - F L AO0 N Z +SEPIA S IY1 - P IY0 - AH0 +SEPICH S EH1 - P IH0 CH +SEPIK S EH1 - P IH0 K +SEPP S EH1 P +SEPPALA S EH0 - P AA1 - L AH0 +SEPPI S EH1 - P IY0 +SEPSIS S EH1 P - S IH0 S +SEPT S EH1 P T +SEPTA S EH1 P - T AH0 +SEPTEMBER S EH0 P - T EH1 M - B ER0 +SEPTEMBER'S S EH0 P - T EH1 M - B ER0 Z +SEPTER S EH1 P - T ER0 +SEPTIC S EH1 P - T IH0 K +SEPTIMA S EH0 P - T IY1 - M AH0 +SEPTIMUS S EH1 P - T IH0 - M IH0 S +SEPTUAGENARIAN S EH0 P - CH UW2 - AH0 - JH AH0 - N EH1 - R IY0 - AH0 N +SEPULVADO S EY0 - P UW0 L - V AA1 - D OW0 +SEPULVEDA S EY0 - P UW0 L - V EY1 - D AH0 +SEQUA S EH1 - K W AH0 +SEQUA'S S EH1 - K W AH0 Z +SEQUEIRA S EY0 - K W EH1 - R AH0 +SEQUEL S IY1 - K W AH0 L +SEQUELS S IY1 - K W AH0 L Z +SEQUENCE S IY1 - K W AH0 N S +SEQUENCES S IY1 - K W AH0 N - S AH0 Z +SEQUENCES(2) S IY1 - K W AH0 N - S IH0 Z +SEQUENCING S IY1 - K W AH0 N - S IH0 NG +SEQUENT S IY1 - K W AH0 N T +SEQUENTIAL S AH0 - K W EH1 N - CH AH0 L +SEQUENTIALLY S AH0 - K W EH1 N - CH AH0 - L IY0 +SEQUESTER S IH0 - K W EH1 - S T ER0 +SEQUESTERED S IH0 - K W EH1 - S T ER0 D +SEQUESTERING S IH0 - K W EH1 - S T ER0 - IH0 NG +SEQUESTERS S IH0 - K W EH1 - S T ER0 Z +SEQUESTRATION S EH2 - K W AH0 S - T R EY1 - SH AH0 N +SEQUIN S IY1 - K W AH0 N +SEQUIN(2) S IY1 - K W IH0 N +SEQUINED S IY1 - K W AH0 N D +SEQUINS S IY1 - K W AH0 N Z +SEQUINS(2) S IY1 - K W IH0 N Z +SEQUITUR S EH1 - K W IH0 - T ER0 +SEQUITURS S EH1 K - W IH0 - T ER0 Z +SEQUOIA S IH0 - K W OY1 - AH0 +SEQUOIAS S IH0 - K W OY1 - AH0 Z +SEQUOYAH S AH0 - K W OY1 - AH0 +SERA S IH1 - R AH0 +SERAFIN S EH1 - R AH0 - F IH0 N +SERAFINA S ER0 - AA0 - F IY1 - N AH0 +SERAFINE S ER0 - AA0 - F IY1 - N IY0 +SERAFINI S ER0 - AA0 - F IY1 - N IY0 +SERAFINO S ER0 - AA0 - F IY1 - N OW0 +SERAGUT S EH1 - R AH0 - G AH2 T +SERAPHINA S ER0 - AA0 - F IY1 - N AH0 +SERAPHINE S ER0 - AA0 - F IY1 - N IY0 +SERATONIN S ER0 - AA0 - T OW1 - N IH0 N +SERATTI S EH0 - R AA1 - T IY0 +SERAW S ER0 - AA1 +SERB S ER1 B +SERB'S S ER1 B Z +SERBAINE S ER0 - B EY1 N +SERBIA S ER1 - B IY0 - AH0 +SERBIA'S S ER1 - B IY0 - AH0 Z +SERBIAN S ER1 - B IY0 - AH0 N +SERBIAN'S S ER1 - B IY0 - AH0 N Z +SERBIANS S ER1 - B IY0 - AH0 N Z +SERBIAS S ER1 - B IY0 - AH0 Z +SERBIN S ER1 - B IH0 N +SERBO-CROATIA S ER1 - B OW0 - K R OW2 - EY0 - SH AH0 +SERBO-CROATIAN S ER1 - B OW0 - K R OW2 - EY0 - SH AH0 N +SERBS S ER1 B Z +SERBS' S ER1 B Z +SERBSKA S ER1 B - S K AH0 +SERCO S ER1 - K OW0 +SERDA S EH1 R - D AH0 +SERE S IH1 R +SERENADE S EH2 - R AH0 - N EY1 D +SERENADED S EH2 - R AH0 - N EY1 - D IH0 D +SERENADING S EH2 - R AH0 - N EY1 - D IH0 NG +SERENDIPITOUS S EH2 - R AH0 N - D IH1 - P IH0 - T AH0 S +SERENDIPITY S EH2 - R AH0 N - D IH1 - P IH0 - T IY0 +SERENE S ER0 - IY1 N +SERENELY S ER0 - IY1 - N AH0 - L IY0 +SERENELY(2) S ER0 - IY1 N - L IY0 +SERENGETI S EH2 - R AH0 N - G EH1 - T IY0 +SERENITY S ER0 - EH1 - N AH0 - T IY0 +SERENO S EH0 - R EY1 - N OW0 +SERES S IY1 R Z +SEREX S EH1 - R AH0 K S +SERF S ER1 F +SERFASS S ER1 - F AE2 S +SERFIN S ER1 - F IH0 N +SERFIN(2) S EH1 R - F IH0 N +SERFLING S ER1 - F L IH0 NG +SERFS S ER1 F S +SERGE S ER1 JH +SERGEANT S AA1 R - JH AH0 N T +SERGEANTS S AA1 R - JH AH0 N T S +SERGEI S ER0 - G EY1 +SERGEI(2) S EH1 R - G EY2 +SERGENT S ER1 - JH AH0 N T +SERGEY S EH1 R - JH IY0 +SERGEY(2) S EH1 R - G EY0 +SERGI S EH1 R - JH IY0 +SERGIO S ER1 - JH IY0 - OW0 +SERGIUS S ER1 - JH IY0 - AH0 S +SERIA S IY1 - R IY0 - AH0 +SERIAL S IH1 - R IY0 - AH0 L +SERIALIZE S IH1 - R IY0 - AH0 - L AY2 Z +SERIALIZED S IH1 - R IY0 - AH0 - L AY2 Z D +SERIALS S IH1 - R IY0 - AH0 L Z +SERIES S IH1 - R IY0 Z +SERIES' S IH1 - R IY0 Z +SERILDA S ER0 - IY1 L - D AH0 +SERINO S ER0 - IY1 - N OW0 +SERIO S IY1 - R IY0 - OW0 +SERIOUS S IH1 - R IY0 - AH0 S +SERIOUSLY S IH1 - R IY0 - AH0 S - L IY0 +SERIOUSNESS S IH1 - R IY0 - AH0 S - N AH0 S +SERLE S AO1 - R AH0 L +SERLIN S ER1 - L IH0 N +SERLING S ER1 - L IH0 N NG +SERLO S EH1 R - L OW0 +SERMERSHEIM S ER1 - M ER0 S - HH AY0 M +SERMON S ER1 - M AH0 N +SERMONS S ER1 - M AH0 N Z +SERNA S EH1 R - N AH0 +SEROKA S EH0 - R OW1 - K AH0 +SEROLOGICAL S EH0 - R AH0 - L AO1 - JH IH0 - K AH0 L +SEROLOGIST S EH0 - R AA1 - L AH0 - JH IH0 S T +SEROLOGY S EH0 - R AA1 - L AH0 - JH IY0 +SERONO S EH2 - R AA1 - N OW0 +SEROTA S ER0 - OW1 - T AH0 +SEROTONIN S ER0 - AH0 - T OW1 - N IH0 N +SEROWSKI S ER0 - AW1 S - K IY0 +SERPA S EH1 R - P AH0 +SERPAS S ER1 - P AH0 Z +SERPE S ER1 P +SERPENT S ER1 - P AH0 N T +SERPENT'S S ER1 - P AH0 N T S +SERPENTINE S ER1 - P AH0 N - T AY2 N +SERPENTS S ER1 - P AH0 N T S +SERPICO S ER0 - P IY1 - K OW0 +SERR S EH1 R +SERRA S EH1 - R AH0 +SERRA'S S EH1 - R AH0 Z +SERRANO S ER0 - AA1 - N OW0 +SERRANO'S S ER0 - AA1 - N OW0 Z +SERRANO'S(2) S ER0 - AE1 - N OW0 Z +SERRANO(2) S ER0 - AE1 - N OW0 +SERRANTO S ER0 - AA1 N - T OW0 +SERRAO S EH1 - R AW0 +SERRATE S EH1 - R EY2 T +SERRATED S EH1 - R EY2 - T IH0 D +SERRATO S ER0 - AA1 - T OW0 +SERRATORE S ER0 - AA0 - T AO1 - R IY0 +SERRES S EH1 - R EH0 S +SERRITELLA S EH2 - R IH0 - T EH1 - L AH0 +SERTICH S ER1 - T IH0 K +SERUM S IH1 - R AH0 M +SERV S ER1 V +SERVAAS S ER1 - V AA0 S +SERVAIS S ER0 - V EY1 +SERVAM S ER1 - V AH0 M +SERVAN S ER1 - V AH0 N +SERVANT S ER1 - V AH0 N T +SERVANTS S ER1 - V AH0 N T S +SERVANTS' S ER1 - V AH0 N T S +SERVE S ER1 V +SERVED S ER1 V D +SERVELLO S ER0 - V EH1 - L OW0 +SERVER S ER1 - V ER0 +SERVERS S ER1 - V ER0 Z +SERVES S ER1 V Z +SERVICE S ER1 - V AH0 S +SERVICE'S S ER1 - V IH0 - S IH0 Z +SERVICE(2) S ER1 - V IH0 S +SERVICEABLE S ER1 - V AH0 - S AH0 - B AH0 L +SERVICED S ER1 - V IH0 S T +SERVICEMAN S ER1 - V AH0 S - M AE2 N +SERVICEMASTER S ER1 - V IH0 S - M AE2 - S T ER0 +SERVICEMEN S ER1 - V AH0 S - M EH0 N +SERVICEMEN'S S ER1 - V IH0 S - M EH0 N Z +SERVICER S ER1 - V IH0 - S ER0 +SERVICES S ER1 - V AH0 - S AH0 Z +SERVICES' S ER1 - V IH0 - S IH0 Z +SERVICES'(2) S ER1 - V AH0 - S AH0 Z +SERVICES(2) S ER1 - V IH0 - S IH0 Z +SERVICING S ER1 - V IH0 - S IH0 NG +SERVICO S ER1 - V IH0 - K OW2 +SERVIDIO S ER0 - V IY1 - D IY0 - OW0 +SERVILE S ER1 - V AH0 L +SERVIN S ER1 - V IH0 N +SERVING S ER1 - V IH0 NG +SERVINGS S ER1 - V IH0 NG Z +SERVIOU S ER1 - V IY0 - UW0 +SERVIS S ER1 - V IH0 S +SERVISS S ER1 - V IH0 S +SERVITUDE S ER1 - V AH0 - T UW2 D +SERVO S ER1 - V OW0 +SESAME S EH1 - S AH0 - M IY0 +SESDAQ S EH1 S - D AE0 K +SESHADRI S EH0 - SH AA1 - D R IY0 +SESIT S EH1 - Z IH0 T +SESKAR S EH1 S - K AA2 R +SESKAR'S S EH1 S - K AA2 R Z +SESLER S EH1 - S AH0 - L ER0 +SESLER(2) S EH1 S - L ER0 +SESNO S EH1 S - N OW2 +SESNO'S S EH1 S - N OW2 Z +SESSA S EH1 - S AH0 +SESSION S EH1 - SH AH0 N +SESSION'S S EH1 - SH AH0 N Z +SESSIONS S EH1 - SH AH0 N Z +SESSIONS' S EH1 - SH AH0 N Z +SESSLER S EH1 S - L ER0 +SESSOMS S EH1 - S AH0 M Z +SESSUMS S EH1 - S AH0 M Z +SESTAK S EH1 - S T AH0 K +SESTANOVICH S EH0 - S T AE1 - N AH0 - V IH0 CH +SESTITO S EH0 - S T IY1 - T OW0 +SET S EH1 T +SETARO S EH0 - T AA1 - R OW0 +SETBACK S EH1 T - B AE2 K +SETBACKS S EH1 T - B AE2 K S +SETH S EH1 TH +SETH'S S EH1 TH S +SETHER S EH1 - DH ER0 +SETHI S EH1 - TH IY0 +SETHNESS S EH1 TH - N AH0 S +SETHURAMAN S EH2 - TH ER0 - AA1 - M AA0 N +SETI S EH1 - T IY2 +SETLIFF S EH1 T - L IH0 F +SETO S EH1 - T OW0 +SETON S IY1 - T AH0 N +SETS S EH1 T S +SETSER S EH1 T - S ER0 +SETTANNI S EH0 - T AA1 - N IY0 +SETTE S EH1 T +SETTER S EH1 - T ER0 +SETTERLUND S EH1 - T ER0 - L AH0 N D +SETTERS S EH1 - T ER0 Z +SETTING S EH1 - T IH0 NG +SETTINGS S EH1 - T IH0 NG Z +SETTLE S EH1 - T AH0 L +SETTLED S EH1 - T AH0 L D +SETTLEMENT S EH1 - T AH0 L - M AH0 N T +SETTLEMENT'S S EH1 - T AH0 L - M AH0 N T S +SETTLEMENTS S EH1 - T AH0 L - M AH0 N T S +SETTLEMIRE S EH1 - T AH0 L - M AY2 R +SETTLEMYRE S EH1 - T AH0 L - M AY2 R +SETTLER S EH1 - T AH0 L - ER0 +SETTLER(2) S EH1 T - L ER0 +SETTLERS S EH1 T - L ER0 Z +SETTLERS' S EH1 T - L ER0 Z +SETTLERS(2) S EH1 - T AH0 L - ER0 Z +SETTLES S EH1 - T AH0 L Z +SETTLING S EH1 - T AH0 L - IH0 NG +SETTLING(2) S EH1 T - L IH0 NG +SETTSU S EH1 T - S UW0 +SETTY S EH1 - T IY0 +SETUP S EH1 T - AH2 P +SETUPS S EH1 T - AH2 P S +SETZER S EH1 T - Z ER0 +SETZLER S EH1 T S - L ER0 +SEUBERT S UW1 - B ER0 T +SEUFERT S UW1 - F ER0 T +SEUSS S UW1 S +SEVAREID S EH1 - V AH0 - R AY2 D +SEVCIK S EH1 V - S IH0 K +SEVE S EH1 - V EY0 +SEVEN S EH1 - V AH0 N +SEVEN'S S EH1 - V AH0 N Z +SEVENFOLD S EH1 - V AH0 N - F OW2 L D +SEVENS S EH1 - V AH0 N Z +SEVENTEEN S EH1 - V AH0 N - T IY1 N +SEVENTEENS S EH1 - V AH0 N - T IY2 N Z +SEVENTEENTH S EH1 - V AH0 N - T IY1 N TH +SEVENTH S EH1 - V AH0 N TH +SEVENTHS S EH1 - V AH0 N TH S +SEVENTIES S EH1 - V AH0 N - T IY0 Z +SEVENTIES(2) S EH1 - V AH0 - N IY0 Z +SEVENTIETH S EH1 - V AH0 N - T IY0 - IH0 TH +SEVENTIETH(2) S EH1 - V AH0 - N IY0 - IH0 TH +SEVENTY S EH1 - V AH0 N - T IY0 +SEVENTY'S S EH1 - V AH0 N - T IY0 Z +SEVENTY(2) S EH1 - V AH0 - N IY0 +SEVER S EH1 - V ER0 +SEVERA S EY0 - V EH1 - R AH0 +SEVERAL S EH1 - V R AH0 L +SEVERAL(2) S EH1 - V ER0 - AH0 L +SEVERALLY S EH1 - V R AH0 - L IY0 +SEVERANCE S EH1 - V ER0 - AH0 N S +SEVERANCE(2) S EH1 - V R AH0 N S +SEVERE S AH0 - V IH1 R +SEVERED S EH1 - V ER0 D +SEVERELY S AH0 - V IH1 R - L IY0 +SEVEREST S AH0 - V IH1 - R AH0 S T +SEVEREVILLE S AH0 - V IH1 R - V IH2 L +SEVERIN S EH1 - V ER0 - IH0 N +SEVERING S EH1 - V ER0 - IH0 NG +SEVERINI S EH0 - V ER0 - IY1 - N IY0 +SEVERINO S EH0 - V ER0 - IY1 - N OW0 +SEVERITY S IH0 - V EH1 - R IH0 - T IY0 +SEVERN S EH1 - V ER0 N +SEVERNS S EH1 - V ER0 N Z +SEVEROVIC S EH0 - V ER1 - OW0 - V IH0 K +SEVERS S EH1 - V ER0 Z +SEVERSON S EH1 - V ER0 - S AH0 N +SEVERT S EH1 - V ER0 T +SEVERTSON S EH1 - V ER0 T - S AH0 N +SEVEY S IH0 - V EY1 +SEVICK S EH1 - V IH0 K +SEVIER S EH1 - V Y ER0 +SEVIGNY S IH0 - V IH1 G - N IY0 +SEVILLA S EH0 - V IH1 - L AH0 +SEVILLE S AH0 - V IH1 L +SEVIN S EH1 - V IH0 N +SEVRUGA S EH2 - V R UW1 - G AH0 +SEVY S IY1 - V IY0 +SEW S OW1 +SEWAGE S UW1 - AH0 JH +SEWAGE(2) S UW1 - IH0 JH +SEWALD S UW1 - AH0 L D +SEWALL S UW1 - AH0 L +SEWARD S UW1 - ER0 D +SEWED S OW1 D +SEWELL S UW1 - AH0 L +SEWELL(2) S UW1 - IH0 L +SEWER S UW1 - ER0 +SEWERAGE S UW1 - ER0 - IH0 JH +SEWERS S UW1 - ER0 Z +SEWING S OW1 - IH0 NG +SEWN S OW1 N +SEX S EH1 K S +SEXAUER S EH1 K - S AW0 - ER0 +SEXED S EH1 K S T +SEXES S EH1 K - S AH0 Z +SEXES(2) S EH1 K - S IH0 Z +SEXIER S EH1 K - S IY0 - ER0 +SEXIEST S EH1 K - S IY0 - AH0 S T +SEXISM S EH1 K - S IH0 - Z AH0 M +SEXIST S EH1 K - S IH0 S T +SEXLESS S EH1 K S - L IH0 S +SEXSON S EH1 K - S AH0 N +SEXTET S EH0 K - S T EH1 T +SEXTON S EH1 K - S T AH0 N +SEXTUPLET S EH0 K S - T AH1 - P L IH0 T +SEXTUPLETS S EH0 K S - T AH1 - P L IH0 T S +SEXTUS S EH1 K - S T AH0 S +SEXUAL S EH1 K - SH UW0 - AH0 L +SEXUALITY S EH2 K - SH UW0 - AE1 - L AH0 - T IY0 +SEXUALLY S EH1 K - SH UW0 - AH0 - L IY0 +SEXY S EH1 K - S IY0 +SEYBERT S EY1 - B ER0 T +SEYBOLD S EY1 - B OW2 L D +SEYDEL S EY1 - D AH0 L +SEYDOUX S EY2 - D UW1 +SEYER S EY1 - ER0 +SEYFARTH S EY1 - F AA2 R TH +SEYFERT S EY1 - F ER0 T +SEYFRIED S EY1 - F ER0 - IY0 D +SEYI S EY1 - IY0 +SEYLER S EY1 - L ER0 +SEYLLER S EY1 - L ER0 +SEYMORE S IY1 - M AO0 R +SEYMOUR S IY1 - M AO0 R +SEYMOUR'S S IY1 - M AO0 R Z +SFERNICE S F ER1 - N IH0 S +SFERNICE(2) S AH0 - F ER1 - N IH0 S +SFERRA S F EH1 - R AH0 +SFERRAZZA S F ER0 - AA1 T - S AH0 +SFFED S F EH1 D +SFFED(2) EH1 - S EH2 - F EH1 D +SFFED(3) EH1 - S EH1 - F EH1 - F IY1 - D IY1 +SFORZA S F AO1 R - Z AH0 +SFUZZI S F UW1 T - Z IY0 +SGAMBATI S K AA0 M - B AA1 - T IY0 +SGRO S K R OW1 +SGROI S K R OY1 +SH EH1 - S EY1 CH +SHA SH AA1 +SHA'ATH SH AA1 TH +SHAAK SH AA1 K +SHAANXI SH AA1 NG K - S IY0 +SHAATH SH AA1 TH +SHAATH'S SH AA1 TH S +SHABAD SH AH0 - B AE1 D +SHABAZZ SH AA1 - B AA0 Z +SHABBY SH AE1 - B IY0 +SHABER SH EY1 - B ER0 +SHACK SH AE1 K +SHACKELFORD SH AE1 - K IH0 L - F ER0 D +SHACKELTON SH AH0 - K EH1 L - T AH0 N +SHACKETT SH AE1 - K IH0 T +SHACKLE SH AE1 - K AH0 L +SHACKLED SH AE1 - K AH0 L D +SHACKLEFORD SH AE1 - K AH0 L - F ER0 D +SHACKLES SH AE1 - K AH0 L Z +SHACKLETON SH AE1 - K AH0 L - T AH0 N +SHACKLETT SH AE1 K - L IH0 T +SHACKS SH AE1 K S +SHAD SH AE1 D +SHAD'S SH AE1 D Z +SHADBUSH SH AE1 D - B UH2 SH +SHADD SH AE1 D +SHADDEN SH AE1 - D AH0 N +SHADDIX SH AE1 - D IH0 K S +SHADDOCK SH AE1 - D AH0 K +SHADDUCK SH AE1 - D AH0 K +SHADE SH EY1 D +SHADED SH EY1 - D IH0 D +SHADEGG SH AE1 - D EH0 G +SHADEL SH AE1 - D AH0 L +SHADER SH EY1 - D ER0 +SHADES SH EY1 D Z +SHADID SH AE1 - D IH0 D +SHADING SH EY1 - D IH0 NG +SHADINGS SH EY1 - D IH0 NG Z +SHADLE SH EY1 - D AH0 L +SHADLEY SH AE1 D - L IY0 +SHADOAN SH AE1 - D OW0 N +SHADOW SH AE1 - D OW2 +SHADOWED SH AE1 - D OW0 D +SHADOWENS SH AE1 - D OW0 - AH0 N Z +SHADOWING SH AE1 - D OW0 - IH0 NG +SHADOWLAND SH AE1 - D OW0 - L AE2 N D +SHADOWLANDS SH AE1 - D OW0 - L AE2 N D Z +SHADOWS SH AE1 - D OW2 Z +SHADOWY SH AE1 - D OW0 - IY0 +SHADRICK SH AE1 - D R IH0 K +SHADUR SH AE1 - D ER0 +SHADWELL SH AE1 D - W EH0 L +SHADWICK SH AE1 D - W IH0 K +SHADY SH EY1 - D IY0 +SHAEFER SH EY1 - F ER0 +SHAEFFER SH EH1 - F ER0 +SHAER SH EY1 - ER0 +SHAFER SH EY1 - F ER0 +SHAFF SH AE1 F +SHAFFER SH EY1 - F ER0 +SHAFFNER SH AE1 F - N ER0 +SHAFRAN SH AE1 - F R AH0 N +SHAFT SH AE1 F T +SHAFTED SH AE1 F - T IH0 D +SHAFTING SH AE1 F - T IH0 NG +SHAFTS SH AE1 F T S +SHAG SH AE1 G +SHAGGY SH AE1 - G IY0 +SHAH SH AA1 +SHAH'S SH AA1 Z +SHAHAN SH AE1 - HH AH0 N +SHAHEED SH AH0 - HH IY1 D +SHAHEEN SH AH0 - HH IY1 N +SHAHIAN SH AH0 - HH IY1 - AH0 N +SHAHIN SH AE1 - HH IH0 N +SHAHINIAN SH AH0 - HH IH1 - N IY0 - AH0 N +SHAHROKH SH AA1 - R AA0 K +SHAHRZAD SH AA2 R - Z AE1 D +SHAI SH AY1 +SHAIK SH EY1 K +SHAIKEN SH EY1 - K AH0 N +SHAIKH SH EY1 K +SHAIN SH EY1 N +SHAINE SH EY1 N +SHAKA SH AA1 - K AH0 +SHAKE SH EY1 K +SHAKEDOWN SH EY1 K - D AW2 N +SHAKEDOWNS SH EY1 K - D AW2 N Z +SHAKEN SH EY1 - K AH0 N +SHAKEOUT SH EY1 K - AW2 T +SHAKER SH EY1 - K ER0 +SHAKERS SH EY1 - K ER0 Z +SHAKES SH EY1 K S +SHAKESPEARE SH EY1 K - S P IY2 R +SHAKESPEARE'S SH EY1 K - S P IY2 R Z +SHAKESPEAREAN SH EY2 K - S P IH1 - R IY0 - AH0 N +SHAKEUP SH EY1 K - AH2 P +SHAKEUPS SH EY1 K - AH2 P S +SHAKIER SH EY1 - K IY0 - ER0 +SHAKIEST SH EY1 - K IY0 - IH0 S T +SHAKINESS SH EY1 - K IY0 - N AH0 S +SHAKING SH EY1 - K IH0 NG +SHAKIR SH AE1 - K IH0 R +SHAKLEE SH AE1 K - L IY0 +SHAKUNAGA SH AA2 - K UW0 - N AA1 - G AH0 +SHAKUR SH AA1 - K ER0 +SHAKY SH EY1 - K IY0 +SHALALA SH AH0 - L EY1 - L AH0 +SHALALA'S SH AH0 - L EY1 - L AH0 Z +SHALE SH EY1 L +SHALER SH EY1 - L ER0 +SHALES SH EY1 L Z +SHALI SH AE1 - L IY0 +SHALIKASHVILI SH AE2 - L IY0 - K AA0 SH - V IY1 - L IY0 +SHALIKASHVILI'S SH AE2 - L IY0 - K AA0 SH - V IY1 - L IY0 Z +SHALL SH AE1 L +SHALLCROSS SH AE1 L - K R AA2 S +SHALLENBERGER SH AO1 - L AH0 N - B ER0 - G ER0 +SHALLOW SH AE1 - L OW0 +SHALLOWER SH AE1 - L OW0 - ER0 +SHALLOWNESS SH AE1 - L OW0 - N AH0 S +SHALNEV SH AA1 L - N EH0 V +SHALNEV(2) SH AA1 L - N EH0 F +SHALOM SH AH0 - L OW1 M +SHALT SH AE1 L T +SHAM SH AE1 M +SHAMAN SH EY1 - M AH0 N +SHAMANS SH EY1 - M AH0 N Z +SHAMAS SH AE1 - M AH0 S +SHAMBAUGH SH AE1 M - B AO2 +SHAMBERGER SH AE1 M - B ER0 - G ER0 +SHAMBLE SH AE1 M - B AH0 L +SHAMBLES SH AE1 M - B AH0 L Z +SHAMBLEY SH AE1 M - B L IY0 +SHAMBLIN SH AE1 M - B L IH0 N +SHAMBO SH AE1 M - B OW0 +SHAMBURG SH AE1 M - B ER0 G +SHAMBURGER SH AE1 M - B ER0 - G ER0 +SHAME SH EY1 M +SHAMED SH EY1 M D +SHAMEFUL SH EY1 M - F AH0 L +SHAMEL SH AE1 - M AH0 L +SHAMELESS SH EY1 M - L AH0 S +SHAMELESSLY SH EY1 M - L AH0 S - L IY0 +SHAMES SH EY1 M Z +SHAMING SH EY1 - M IH0 NG +SHAMIR SH AH0 - M IH1 R +SHAMIR'S SH AH0 - M IH1 R Z +SHAMP SH AE1 M P +SHAMPINE SH AE1 M - P AY2 N +SHAMPOO SH AE0 M - P UW1 +SHAMPOOED SH AE0 M - P UW1 D +SHAMPOOS SH AE0 M - P UW1 Z +SHAMROCK SH AE1 M - R AA2 K +SHAMROCK'S SH AE1 M - R AA2 K S +SHAMU SH AA0 - M UW1 +SHAMUS SH EY1 - M AH0 S +SHAN SH AE1 N +SHANA SH AE1 - N AH0 +SHANA(2) SH EY1 - N AH0 +SHANAFELT SH AE1 - N AH0 - F EH2 L T +SHANAHAN SH AE1 - N AH0 - HH AE0 N +SHANANSKY SH AH0 - N AE1 N S - K IY0 +SHAND SH AE1 N D +SHANDLING SH AE1 N D - L IH0 NG +SHANDONG SH AA2 N - D OW1 NG +SHANDS SH AE1 N D Z +SHANDWICK SH AE1 N D - W IH2 K +SHANDWICK'S SH AE1 N D - W IH2 K S +SHANDY SH AE1 N - D IY0 +SHANE SH EY1 N +SHANER SH EY1 - N ER0 +SHANEYFELT SH AE1 - N IY0 - F EH0 L T +SHANGHAI SH AE1 NG - HH AY1 +SHANGHAI'S SH AE1 NG - HH AY1 Z +SHANGKUN SH AE1 NG - K AH0 N +SHANGRI SH AE1 NG - G R IY0 +SHANHOLTZ SH AE1 N - HH OW2 L T S +SHANHOLTZER SH AE1 N - HH OW0 L T - Z ER0 +SHANK SH AE1 NG K +SHANKEL SH AE1 NG - K AH0 L +SHANKEN SH AE1 NG - K AH0 N +SHANKER SH AE1 NG - K ER0 +SHANKLAND SH AE1 NG - K L AH0 N D +SHANKLE SH AE1 NG - K AH0 L +SHANKLES SH AE1 NG - K AH0 L Z +SHANKLIN SH AE1 NG - K L IH0 N +SHANKMAN SH AE1 NG K - M AH0 N +SHANKS SH AE1 NG K S +SHANLEY SH AE1 N - L IY0 +SHANNAHAN SH AE1 - N AH0 - HH AE0 N +SHANNON SH AE1 - N AH0 N +SHANNON'S SH AE1 - N AH0 N Z +SHANSEV SH AE1 N - S EH0 V +SHANSEV(2) SH AE1 N - S EH0 F +SHANTI SH AE1 N - T IY0 +SHANTIES SH AE1 N - T IY0 Z +SHANTY SH AE1 N - T IY0 +SHANTYTOWN SH AE1 N - T IY0 - T AW2 N +SHANTYTOWNS SH AE1 N - T IY0 - T AW2 N Z +SHANTZ SH AE1 N T S +SHAO SH AW1 +SHAP SH AE1 P +SHAPE SH EY1 P +SHAPED SH EY1 P T +SHAPELESS SH EY1 P - L AH0 S +SHAPELY SH EY1 P - L IY0 +SHAPERO SH AH0 - P IH1 - R OW0 +SHAPES SH EY1 P S +SHAPING SH EY1 - P IH0 NG +SHAPIRA SH AH0 - P IH1 - R AH0 +SHAPIRO SH AH0 - P IH1 - R OW0 +SHAPIRO'S SH AH0 - P IH1 - R OW0 Z +SHAPIROS SH AH0 - P IH1 - R OW0 Z +SHAPLEY SH AE1 P - L IY0 +SHAPP SH AE1 P +SHAPPELL SH AE1 - P AH0 L +SHAQ SH AE1 K +SHAQUILLE SH AH0 - K IY1 L +SHARA SH AA1 - R AH0 +SHARAA SH AA1 - R AH0 +SHARANSKY SH ER0 - AE1 N S - K IY0 +SHARAR SH ER0 - AA1 R +SHARBER SH AA1 R - B ER0 +SHARBONO SH AA0 R - B OW1 - N OW0 +SHARD SH AA1 R D +SHARDS SH AA1 R D Z +SHARE SH EH1 R +SHARE'S SH EH1 R Z +SHARECROPPER SH EH1 R - K R AA2 - P ER0 +SHARECROPPERS SH EH1 R - K R AA2 - P ER0 Z +SHARED SH EH1 R D +SHAREHOLDER SH EH1 R - HH OW2 L - D ER0 +SHAREHOLDER'S SH EH1 R - HH OW2 L - D ER0 Z +SHAREHOLDERS SH EH1 R - HH OW2 L - D ER0 Z +SHAREHOLDERS' SH EH1 R - HH OW2 L - D ER0 Z +SHAREHOLDING SH EH1 R - HH OW2 L - D IH0 NG +SHAREHOLDINGS SH EH1 R - HH OW2 L - D IH0 NG Z +SHARELL SH AH0 - R EH1 L +SHAREOWNER SH EH1 - R OW2 - N ER0 +SHAREOWNERS SH EH1 - R OW2 - N ER0 Z +SHARER SH EH1 - R ER0 +SHARES SH EH1 R Z +SHARES' SH EH1 R Z +SHAREWARE SH EH1 R - W EH2 R +SHARF SH AA1 R F +SHARFMAN SH AA1 R F - M AH0 N +SHARI SH AA1 - R IY0 +SHARIA SH EH1 - R IY0 - AH0 +SHARIF SH ER0 - IY1 F +SHARING SH EH1 - R IH0 NG +SHARK SH AA1 R K +SHARKEY SH AA1 R - K IY0 +SHARKING SH AA1 R - K IH0 NG +SHARKLIKE SH AA1 R K - L AY2 K +SHARKS SH AA1 R K S +SHARLA SH AA1 R - L AH0 +SHARLEEN SH AA0 R - L IY1 N +SHARLENE SH AA1 R - L IY2 N +SHARLINE SH AA1 R - L AY2 N +SHARLOW SH AA1 R - L OW0 +SHARM SH AA1 R M +SHARMA SH AA1 R - M AH0 +SHARMA'S SH AA1 R - M AH0 Z +SHARMAN SH AA1 R - M AH0 N +SHARON SH AE1 - R AH0 N +SHARON'S SH EH1 - R AH0 N Z +SHARON'S(2) SH AE1 - R AH0 N Z +SHARON'S(3) SH AH0 - R OW1 N Z +SHARON(2) SH EH1 - R AH0 N +SHARON(3) SH AH0 - R OW1 N +SHARP SH AA1 R P +SHARP'S SH AA1 R P S +SHARP-SIGN SH AA1 R P - S AY1 N +SHARPE SH AA1 R P +SHARPEN SH AA1 R - P AH0 N +SHARPENED SH AA1 R - P AH0 N D +SHARPENING SH AA1 R - P AH0 - N IH0 NG +SHARPENING(2) SH AA1 R P - N IH0 NG +SHARPENS SH AA1 R - P AH0 N Z +SHARPER SH AA1 R - P ER0 +SHARPEST SH AA1 R - P AH0 S T +SHARPEVILLE SH AA1 R - P AH0 - V IH2 L +SHARPIE SH AA1 R - P IY0 +SHARPLES SH AA1 R - P AH0 L Z +SHARPLESS SH AA1 R P - L AH0 S +SHARPLEY SH AA1 R P - L IY0 +SHARPLY SH AA1 R P - L IY0 +SHARPNACK SH AA1 R P - N AH0 K +SHARPNESS SH AA1 R P - N AH0 S +SHARPS SH AA1 R P S +SHARPSHOOTER SH AA1 R P - SH UW0 - T ER0 +SHARPSHOOTER SH AA1 R P - SH UW2 - T ER0 +SHARPSHOOTERS SH AA1 R P - SH UW0 - T ER0 Z +SHARPTON SH AA1 R P - T AH0 N +SHARPY SH AA1 R - P IY0 +SHARPY'S SH AA1 R - P IY0 Z +SHARRAR SH ER0 - AA1 R +SHARRER SH AA1 - R ER0 +SHARRETT SH AE1 - R IH0 T +SHARROCK SH AE1 - R AH0 K +SHARRON SH AE1 - R AH0 N +SHARROW SH AE1 - R OW0 +SHARRY SH AA1 - R IY0 +SHARTZER SH AA1 R T - Z ER0 +SHARUM SH ER0 - AH1 M +SHARYL SH EH1 - R AH0 L +SHAS SH AH1 S +SHASHLIK SH AE1 SH - L IH0 K +SHASHOUA SH AH0 - SH UW1 - AH0 +SHASTA SH AE1 - S T AH0 +SHASTA'S SH AE1 - S T AH0 Z +SHASTEEN SH AH0 - S T IY1 N +SHATKIN SH AE1 T - K IH0 N +SHATLEY SH AE1 T - L IY0 +SHATNER SH AE1 T - N ER0 +SHATROV SH AE1 - T R AA0 V +SHATT SH AE1 T +SHATTER SH AE1 - T ER0 +SHATTERED SH AE1 - T ER0 D +SHATTERING SH AE1 - T ER0 - IH0 NG +SHATTERPROOF SH AE1 - T ER0 - P R UW2 F +SHATTERS SH AE1 - T ER0 Z +SHATTUCK SH AE1 - T AH0 K +SHATZ SH AE1 T S +SHATZ(2) SH AA1 T S +SHATZER SH EY1 T - Z ER0 +SHAUB SH AO1 B +SHAUGER SH AW1 - G ER0 +SHAUGHNESSY SH AO1 - N IH0 - S IY0 +SHAUL SH AO1 L +SHAULIS SH AW1 - L IH0 S +SHAULL SH AO1 L +SHAUN SH AO1 N +SHAUNA SH AO1 - N AH0 +SHAVE SH EY1 V +SHAVED SH EY1 V D +SHAVELSON SH EY1 - V AH0 L - S IH0 N +SHAVELSON(2) SH AE1 - V AH0 L - S IH0 N +SHAVEN SH EY1 - V AH0 N +SHAVER SH EY1 - V ER0 +SHAVERS SH EY1 - V ER0 Z +SHAVES SH EY1 V Z +SHAVING SH EY1 - V IH0 NG +SHAVINGS SH EY1 - V IH0 NG Z +SHAVORD SH AH0 - V AO1 R D +SHAW SH AO1 +SHAW'S SH AO1 Z +SHAWCROSS SH AO1 - K R AO2 S +SHAWGO SH AO1 - G OW2 +SHAWHAN SH AE1 - W AH0 N +SHAWINIGAN SH AH0 - W IH1 - N IH0 - G AH0 N +SHAWL SH AO1 L +SHAWLER SH AO1 - L ER0 +SHAWLEY SH AO1 - L IY0 +SHAWLS SH AO1 L Z +SHAWMUT SH AO1 - M AH0 T +SHAWMUT'S SH AO1 - M AH0 T S +SHAWN SH AO1 N +SHAWN'S SH AO1 N Z +SHAWNA SH AO1 - N AH0 +SHAWNEE SH AO1 - N IY0 +SHAWNUT SH AO1 - N AH0 T +SHAWSHANK SH AO1 - SH AE2 N K +SHAWVER SH AO1 - V ER0 +SHAY SH EY1 +SHAYKIN SH EY1 - K IH0 N +SHAYKIN'S SH EY1 - K IH0 N Z +SHAYNE SH EY1 N +SHAYS SH EY1 Z +SHCHARANSKY SH ER0 - AE1 N S - K IY0 +SHCHEDRIN SH EH1 D - R IH0 N +SHCHERBITSKY SH ER0 - B IH1 T S - K IY0 +SHE SH IY1 +SHE'D SH IY1 D +SHE'LL SH IY1 L +SHE'S SH IY1 Z +SHEA SH EY1 +SHEA'S SH EY1 Z +SHEAD S HH EH1 D +SHEAF SH IY1 F +SHEAFFER SH IY1 - F ER0 +SHEAHAN SH IY1 - AH0 N +SHEALEY SH IY1 - L IY0 +SHEALY SH IY1 - L IY0 +SHEAN SH IY1 N +SHEAR SH IH1 R +SHEAR'S SH IY1 R Z +SHEARD SH IH1 R D +SHEARED SH IH1 R D +SHEARER SH IH1 - R ER0 +SHEARIN SH IH1 - R IH0 N +SHEARING SH IH1 - R IH0 NG +SHEARMAN SH IY1 R - M AH0 N +SHEARN SH IH1 R N +SHEARON SH IH1 - R AH0 N +SHEAROUSE SH IH1 - R AW0 S +SHEARS SH IY1 R Z +SHEARSON SH IH1 R - S AH0 N +SHEARSON'S SH IH1 R - S AH0 N Z +SHEATH SH IY1 TH +SHEATHBILL SH IY1 TH - B IH0 L +SHEATHBILLS SH IY1 TH - B IH0 L Z +SHEATHE SH IY1 DH +SHEATHED SH IY1 DH D +SHEATHING SH IY1 - DH IH0 NG +SHEATS SH IY1 T S +SHEAVES SH IY1 V Z +SHEBA SH IY1 - B AH0 +SHEBOYGAN SH AH0 - B OY1 - G AH0 N +SHECK SH EH1 K +SHECK'S SH EH1 K S +SHECKLER SH EH1 K - L ER0 +SHED SH EH1 D +SHEDD SH EH1 D +SHEDDEN SH EH1 - D AH0 N +SHEDDING SH EH1 - D IH0 NG +SHEDLOCK SH EH1 D - L AA2 K +SHEDRICK SH EH1 D - R IH0 K +SHEDS SH EH1 D Z +SHEEDER SH IY1 - D ER0 +SHEEDY SH IY1 - D IY0 +SHEEHAN SH IY1 - AH0 N +SHEEHAN'S SH IY1 - AH0 N Z +SHEEHAN'S(2) SH IY1 - HH AH0 N Z +SHEEHAN(2) SH IY1 - HH AH0 N +SHEEHY SH IY1 - HH IY0 +SHEEHY(2) SH IY1 - IY0 +SHEEK SH IY1 K +SHEEKS SH IY1 K S +SHEELA SH IY1 - L AH0 +SHEELAH SH IY1 - L AH0 +SHEELEN SH IY1 - L AH0 N +SHEELER SH IY1 - L ER0 +SHEELEY SH IY1 - L IY0 +SHEELY SH IY1 - L IY0 +SHEEN SH IY1 N +SHEENA SH IY1 - N AH0 +SHEEP SH IY1 P +SHEEP'S SH IY1 P S +SHEEPISH SH IY1 - P IH0 SH +SHEEPISHLY SH IY1 - P IH0 SH - L IY0 +SHEEPS SH IY1 P S +SHEEPSKIN SH IY1 P - S K IH2 N +SHEER SH IH1 R +SHEERAN SH IH1 - R AH0 N +SHEERER SH IY1 - R ER0 +SHEERIN SH IH1 - R IH0 N +SHEESH SH IY1 SH +SHEESLEY SH IY1 Z - L IY0 +SHEET SH IY1 T +SHEETING SH IY1 - T IH0 NG +SHEETS SH IY1 T S +SHEETZ SH IY1 T S +SHEFF SH EH1 F +SHEFFER SH EH1 - F ER0 +SHEFFEY SH EH1 - F IY0 +SHEFFIELD SH EH1 - F IY0 L D +SHEFFLER SH EH1 F - L ER0 +SHEFTEL SH EH2 F - T EH1 L +SHEFTEL'S SH EH2 F - T EH1 L Z +SHEGOG SH EH1 - G AA0 G +SHEHAN SH EH1 - HH AH0 N +SHEHANE SH EH1 - HH AH0 N +SHEHORN SH EH1 - HH ER0 N +SHEIK SH IY1 K +SHEIK'S SH IY1 K S +SHEIKDOM SH IY1 K - D AH0 M +SHEIKDOMS SH IY1 K - D AH0 M Z +SHEIKH SH IY1 K +SHEIKS SH IY1 K S +SHEIL SH AY1 L +SHEILA SH IY1 - L AH0 +SHEILA'S SH IY1 - L AH0 Z +SHEILAH SH IY1 - L AH0 +SHEILDS SH AY1 L D Z +SHEILS SH AY1 L Z +SHEIN SH AY1 N +SHEINBERG SH AY1 N - B ER0 G +SHEK SH EH1 K +SHEK'S SH EH1 K S +SHEKEL SH EH1 - K AH0 L +SHEKELS SH EH1 - K AH0 L Z +SHELBURNE SH EH1 L - B ER0 N +SHELBY SH EH1 L - B IY0 +SHELBY'S SH EH1 L - B IY0 Z +SHELBYVILLE SH EH1 L - B IY0 - V IH2 L +SHELDAHL SH EH1 L - D AA2 L +SHELDEN SH EH1 L - D AH0 N +SHELDON SH EH1 L - D AH0 N +SHELEV SH EH1 - L IH0 V +SHELEY SH IY1 - L IY0 +SHELF SH EH1 L F +SHELHAMER SH EH1 L - HH AH0 - M ER0 +SHELINE SH EH1 - L AY0 N +SHELL SH EH1 L +SHELL'S SH EH1 L Z +SHELLABARGER SH EH1 - L AH0 - B AA2 R - G ER0 +SHELLED SH EH1 L D +SHELLENBARGER SH EH1 - L IH0 N - B AA0 R - G ER0 +SHELLENBERGER SH EH1 - L AH0 N - B ER0 - G ER0 +SHELLER SH EH1 - L ER0 +SHELLEY SH EH1 - L IY0 +SHELLEY'S SH EH1 - L IY0 Z +SHELLFISH SH EH1 L - F IH2 SH +SHELLHAMMER SH EH1 L - HH AE2 - M ER0 +SHELLHORN SH EH1 L - HH ER0 N +SHELLING SH EH1 - L IH0 NG +SHELLINGS SH EH1 - L IH0 NG Z +SHELLITO SH EY0 - L IY1 - T OW0 +SHELLMAN SH EH1 L - M AH0 N +SHELLS SH EH1 L Z +SHELLSHOCK SH EH1 L - SH AA2 K +SHELLSHOCKED SH EH1 L - SH AA2 K T +SHELLY SH EH1 - L IY0 +SHELMAN SH EH1 L - M AH0 N +SHELNUTT SH EH1 L - N AH0 T +SHELOR SH EH1 - L ER0 +SHELP SH EH1 L P +SHELSTAD SH EH1 L - S T AH0 D +SHELTER SH EH1 L - T ER0 +SHELTERED SH EH1 L - T ER0 D +SHELTERING SH EH1 L - T ER0 - IH0 NG +SHELTERS SH EH1 L - T ER0 Z +SHELTON SH EH1 L - T AH0 N +SHELTON'S SH EH1 L - T AH0 N Z +SHELVE SH EH1 L V +SHELVED SH EH1 L V D +SHELVES SH EH1 L V Z +SHELVING SH EH1 L - V IH0 NG +SHEMANSKI SH IH0 - M AE1 N - S K IY0 +SHEMONA SH IH0 - M OW1 - N AH0 +SHEMWELL SH EH1 M - W EH2 L +SHEN SH EH1 N +SHENA SH IY1 - N AH0 +SHENANDOAH SH EH2 - N AH0 N - D OW1 - AH0 +SHENANIGAN SH AH0 - N AE1 - N IH0 - G AH0 N +SHENANIGANS SH AH0 - N AE1 - N IH0 - G AH0 N Z +SHENBERGER SH EH1 N - B ER0 - G ER0 +SHENEFIELD SH EH1 - N IH0 - F IY2 L D +SHENEMAN SH IY1 N - M AH0 N +SHENG SH EH1 NG +SHENG-FEN SH EH1 NG - F EH1 N +SHENICE SH AH0 - N IY1 S +SHENK SH EH1 NG K +SHENKER SH EH1 NG - K ER0 +SHENKMAN SH EH1 NG K - M AH0 N +SHENTON SH EH1 N - T AH0 N +SHENYANG SH EH0 - N Y AE1 NG +SHENZHEN SH EH1 N - ZH EH2 N +SHEP SH EH1 P +SHEPARD SH EH1 - P ER0 D +SHEPARD'S SH EH1 - P ER0 D Z +SHEPARDSON SH EH1 - P AA0 R D - S AH0 N +SHEPERD SH EH1 - P ER0 D +SHEPHARD SH EH1 - F ER0 D +SHEPHEARD SH EH1 - F ER0 D +SHEPHERD SH EH1 - P ER0 D +SHEPHERD'S SH EH1 - P ER0 D Z +SHEPHERDED SH EH1 - P ER0 - D IH0 D +SHEPHERDING SH EH1 - P ER0 - D IH0 NG +SHEPHERDS SH EH1 - P ER0 D Z +SHEPLER SH EH1 P - L ER0 +SHEPLEY SH EH1 P - L IY0 +SHEPP SH EH1 P +SHEPPARD SH EH1 - P ER0 D +SHEPPARDS SH EH1 - P ER0 D Z +SHEPPER SH EH1 - P ER0 +SHEPPERD SH EH1 - P ER0 D +SHEPPERSON SH EH1 - P ER0 - S AH0 N +SHEPPY SH EH1 - P IY0 +SHER SH ER1 +SHERAK SH EH1 - R AE0 K +SHERARD SH EH1 - R ER0 D +SHERATON SH EH1 - R AH0 - T AH0 N +SHERATON'S SH EH1 - R AH0 - T AH0 N Z +SHERBERT SH ER1 - B ER0 T +SHERBET SH ER1 - B AH0 T +SHERBONDY SH ER0 - B AA1 N - D IY0 +SHERBORNE SH ER1 - B ER0 N +SHERBOURN SH ER0 - B UH1 R N +SHERBOURNE SH ER0 - B UH1 R N +SHERBURN SH ER1 - B ER0 N +SHERBURNE SH ER1 - B ER0 N +SHERE SH IH1 R +SHEREE SH ER0 - IY1 +SHERER SH IH1 - R ER0 +SHERFEY SH ER1 - F IY0 +SHERFIELD SH ER1 - F IY0 L D +SHERI SH EH1 - R IY0 +SHERICK SH EH1 - R IH0 K +SHERIDAN SH EH1 - R IH0 - D AH0 N +SHERIFF SH EH1 - R AH0 F +SHERIFF'S SH EH1 - R AH0 F S +SHERIFF'S(2) SH EH1 - R IH0 F S +SHERIFF(2) SH EH1 - R IH0 F +SHERIFFS SH EH1 - R AH0 F S +SHERIN SH EH1 - R IH0 N +SHERK SH ER1 K +SHERLEY SH ER1 - L IY0 +SHERLIN SH ER1 - L IH0 N +SHERLOCK SH ER1 - L AA2 K +SHERLOCK'S SH ER1 - L AA2 K S +SHERLUND SH ER1 - L AH0 N D +SHERMAN SH ER1 - M AH0 N +SHERMAN'S SH ER1 - M AH0 N Z +SHERMER SH ER1 - M ER0 +SHERNOFF SH ER1 - N AO2 F +SHEROD SH EH1 - R AH0 D +SHERR SH EH1 R +SHERR'S SH EH1 R Z +SHERRARD SH EH1 - R ER0 D +SHERRELL SH EH1 - R AH0 L +SHERRER SH EH1 - R ER0 +SHERRGOLD SH EH1 R - G OW2 L D +SHERRI SH EH1 - R IY0 +SHERRI'S SH EH1 - R IY0 Z +SHERRICK SH EH1 - R IH0 K +SHERRIE SH EH1 - R IY0 +SHERRIFF SH EH1 - R IH0 F +SHERRILL SH EH1 - R IH0 L +SHERRIN SH EH1 - R IH0 N +SHERRIT SH EH1 - R IH0 T +SHERRITT SH EH1 - R IH0 T +SHERROD SH EH1 - R AH0 D +SHERRON SH EH1 - R AH0 N +SHERROW SH EH1 - R OW0 +SHERRY SH EH1 - R IY0 +SHERRY'S SH EH1 - R IY0 Z +SHERTZER SH ER1 T - Z ER0 +SHERVA SH ER1 - V AH0 +SHERWIN SH ER1 - W IH0 N +SHERWOOD SH ER1 - W UH2 D +SHERWOOD'S SH ER1 - W UH2 D Z +SHERYL SH EH1 - R AH0 L +SHESHUNOFF SH EH1 - SH UW0 - N AO0 F +SHETH SH EH1 TH +SHETLAND SH EH1 T - L AH0 N D +SHETLER SH EH1 T - L ER0 +SHETLEY SH EH1 T - L IY0 +SHETTER SH EH1 - T ER0 +SHETTERLY SH EH1 - T ER0 - L IY0 +SHEVARDNADZE SH EH2 - V ER0 D - N AA1 D - Z IY0 +SHEVARDNADZE'S SH EH2 - V ER0 D - N AA1 D - Z IY0 Z +SHEVLIN SH EH1 V - L IH0 N +SHEVTL SH EH1 - V IH0 L +SHEVTL(2) SH IY1 - V IH0 L +SHEW SH UW1 +SHEWARD SH UW1 - ER0 D +SHEWCHUK SH UW1 - CH AH0 K +SHEWELL SH EH1 - W EH0 L +SHEWMAKE SH UW1 - M EY2 K +SHEWMAKER SH UW1 - M EY0 - K ER0 +SHH SH +SHI SH IY1 +SHIA SH IY1 - AH0 +SHIAS SH IY1 - AH0 Z +SHIBANNA SH IH0 - B AE1 - N AH0 +SHIBATA SH IY0 - B AA1 - T AH0 +SHIBBOLETH SH IH1 - B AH0 - L EH2 TH +SHIBLEY SH IH1 - B L IY0 +SHICK SH IH1 K +SHICOFF SH IH1 K - AO2 F +SHIDELER SH IH1 - D AH0 L - ER0 +SHIDLER SH AY1 - D AH0 - L ER0 +SHIDLER(2) SH AY1 D - L ER0 +SHIED SH AY1 D +SHIEH SH IY1 +SHIEL SH IY1 L +SHIELA SH AY1 - L AH0 +SHIELD SH IY1 L D +SHIELD'S SH IY1 L D Z +SHIELDED SH IY1 L - D IH0 D +SHIELDING SH IY1 L - D IH0 NG +SHIELDS SH IY1 L D Z +SHIELS SH IY1 L Z +SHIER SH AY1 - ER0 +SHIES SH AY1 Z +SHIFF SH IH1 F +SHIFFER SH IH1 - F ER0 +SHIFFLER SH IH1 F - L ER0 +SHIFFLET SH IH1 F - L IH0 T +SHIFFLETT SH IH1 F - L IH0 T +SHIFFMAN SH IH1 F - M AH0 N +SHIFLET SH IH1 F - L IH0 T +SHIFLETT SH IH1 F - L IH0 T +SHIFRIN SH IH1 - F R IH0 N +SHIFT SH IH1 F T +SHIFTED SH IH1 F - T AH0 D +SHIFTED(2) SH IH1 F - T IH0 D +SHIFTER SH IH1 F - T ER0 +SHIFTING SH IH1 F - T IH0 NG +SHIFTLESS SH IH1 F T - L IH0 S +SHIFTS SH IH1 F T S +SHIFTY SH IH1 F - T IY0 +SHIGEKI SH IH0 - G EY1 - K IY0 +SHIGEKUNI SH IY2 - G IH0 - K UW1 - N IY0 +SHIGEO SH IH0 - G EY1 - OW0 +SHIGERU SH IH0 - G EY1 - R UW0 +SHIGLEY SH IH1 G - L IY0 +SHIH SH IY1 +SHIHAN SH IY1 - HH AA2 N +SHIINA SH IY1 - N AH0 +SHIITE SH IY1 - AY2 T +SHIITES SH IY1 - AY2 T S +SHILEY SH IH1 - L IY0 +SHILL SH IH1 L +SHILLER SH IH1 - L ER0 +SHILLING SH IH1 - L IH0 NG +SHILLINGBURG SH IH1 - L IH0 NG - B ER0 G +SHILLINGER SH IH1 - L IH0 N - JH ER0 +SHILLINGLAW SH IH1 - L IH0 NG - L AO2 +SHILLINGS SH IH1 - L IH0 NG Z +SHILLINGTON SH IH1 - L IH0 NG - T AH0 N +SHILOH SH AY1 - L OW0 +SHILTS SH IH1 L T S +SHIM SH IH1 M +SHIMA SH IY1 - M AH0 +SHIMABUKURO SH IY0 - M AA0 - B UW0 - K UH1 - R OW0 +SHIMADA SH IY0 - M AA1 - D AH0 +SHIMBUN SH IH1 M - B AH2 N +SHIMBUN(2) SH IH1 M - B UW2 N +SHIMEK SH IH1 - M IH0 K +SHIMEL SH IH1 - M AH0 L +SHIMER SH AY1 - M ER0 +SHIMIZU SH IH0 - M IY1 - Z UW0 +SHIMKO SH IH1 M - K OW0 +SHIMKUS SH IH1 M - K AH0 S +SHIMMEL SH IH1 - M AH0 L +SHIMMER SH IH1 - M ER0 +SHIMMERED SH IH1 - M ER0 D +SHIMMERING SH IH1 - M ER0 - IH0 NG +SHIMMERLIK SH IH1 - M ER0 - L IH0 K +SHIMMERS SH IH1 - M ER0 Z +SHIMMIN SH IH1 - M IH0 N +SHIMMY SH IH1 - M IY0 +SHIMODA SH IH0 - M OW1 - D AH0 +SHIMOGA SH IH0 - M OW1 - G AH0 +SHIMOKAWA SH IH2 - M OW0 - K AA1 - W AH0 +SHIMON SH IY1 - M OW0 N +SHIMON(2) SH IY1 - M AH0 N +SHIMONE SH IY1 - M OW0 N +SHIMP SH IH1 M P +SHIN SH IH1 N +SHINALL SH IH1 - N AH0 L +SHINAULT SH IH1 - N AW0 L T +SHINBEIN SH IH1 N - B AY2 N +SHINBONE SH IH1 N - B OW2 N +SHINDIG SH IH1 N - D IH0 G +SHINDLE SH IH1 N - D AH0 L +SHINDLEDECKER SH IH1 N - D AH0 L - D IH0 - K ER0 +SHINDLER SH IH1 N D - L ER0 +SHINDLER'S SH IH1 N D - L ER0 Z +SHINDOU SH IH1 N - D OW2 +SHINE SH AY1 N +SHINED SH AY1 N D +SHINER SH AY1 - N ER0 +SHINES SH AY1 N Z +SHING SH IH1 NG +SHINGLE SH IH1 NG - G AH0 L +SHINGLEDECKER SH IH1 NG - G AH0 L - D IH0 - K ER0 +SHINGLER SH IH1 NG - L ER0 +SHINGLES SH IH1 NG - G AH0 L Z +SHINGLETON SH IH1 NG - G AH0 L - T AH0 N +SHINICHI SH IH0 - N IY1 - CH IY0 +SHINING SH AY1 - N IH0 NG +SHINKLE SH IH1 NG - K AH0 L +SHINKO SH IH1 NG - K OW0 +SHINN SH IH1 N +SHINNERS SH IH1 - N ER0 Z +SHINNICK SH IH1 - N IH0 K +SHINRI SH IH1 N - R IY0 +SHINRIKYO SH IH0 N - R IY1 - K Y OW0 +SHINSEI SH IH0 N - S EY1 +SHINSKY SH IH1 N - S K IY0 +SHINTARO SH IH0 N - T AA1 - R OW0 +SHINTO SH IH1 N - T OW2 +SHINWA SH IH1 N - W AH0 +SHINXIAKU SH IH2 N - CH Y AA1 - K UW0 +SHINY SH AY1 - N IY0 +SHINYUKA SH IH2 - N Y UW1 - K AH0 +SHIONOGI SH IY2 - AH0 - N OW1 - G IY0 +SHIP SH IH1 P +SHIP'S SH IH1 P S +SHIPBOARD SH IH1 P - B AO2 R D +SHIPBUILDER SH IH1 P - B IH2 L - D ER0 +SHIPBUILDERS SH IH1 P - B IH2 L - D ER0 Z +SHIPBUILDING SH IH1 P - B IH2 L - D IH0 NG +SHIPBUILDINGS SH IH1 P - B IH2 L - D IH0 NG Z +SHIPE SH AY1 P +SHIPES SH AY1 P S +SHIPHOLDING SH IH1 P - HH OW2 L - D IH0 NG +SHIPLETT SH IH1 P - L IH0 T +SHIPLEY SH IH1 P - L IY0 +SHIPLOAD SH IH1 P - L OW2 D +SHIPLOADS SH IH1 P - L OW2 D Z +SHIPMAN SH IH1 P - M AH0 N +SHIPMATE SH IH1 P - M EY2 T +SHIPMATES SH IH1 P - M EY2 T S +SHIPMENT SH IH1 P - M AH0 N T +SHIPMENTS SH IH1 P - M AH0 N T S +SHIPOWNER SH IH1 P - OW2 - N ER0 +SHIPOWNERS SH IH1 P - OW2 - N ER0 Z +SHIPP SH IH1 P +SHIPP'S SH IH1 P S +SHIPPED SH IH1 P T +SHIPPEE SH IH1 - P IY1 +SHIPPER SH IH1 - P ER0 +SHIPPER'S SH IH1 - P ER0 Z +SHIPPERS SH IH1 - P ER0 Z +SHIPPEY SH IH1 - P IY0 +SHIPPING SH IH1 - P IH0 NG +SHIPPINGPORT SH IH1 - P IH0 NG - P AO2 R T +SHIPPS SH IH1 P S +SHIPPY SH IH1 - P IY0 +SHIPS SH IH1 P S +SHIPS' SH IH1 P S +SHIPSHAPE SH IH1 P - SH EY2 P +SHIPTON SH IH1 P - T AH0 N +SHIPWASH SH IH1 P - W AA2 SH +SHIPWRECK SH IH1 P - R EH0 K +SHIPWRIGHT SH IH1 P - R AY2 T +SHIPWRIGHTS SH IH1 P - R AY2 T S +SHIPYARD SH IH1 P - Y AA2 R D +SHIPYARD'S SH IH1 P - Y AA2 R D Z +SHIPYARDS SH IH1 P - Y AA2 R D Z +SHIR SH ER1 +SHIRA SH IH1 - R AH0 +SHIRAH SH IH1 - R AH0 +SHIRAISHI SH IH0 - R AA0 - IY1 - SH IY0 +SHIRAZI SH IH0 - R AA1 - Z IY0 +SHIRE SH AY1 R +SHIRELL SH IH0 - R EH1 L +SHIRELLE SH IH0 - R EH1 L +SHIREMAN SH IH0 - R EY1 - M AH0 N +SHIREMANSTOWN SH AY1 R - M AH0 N Z - T AW2 N +SHIRER SH AY1 - ER0 R +SHIRES SH AY1 R Z +SHIREY SH AY1 - R IY0 +SHIRIN SH IH1 - R AH0 N +SHIRK SH ER1 K +SHIRKED SH ER1 K T +SHIRKEY SH ER1 - K IY0 +SHIRKING SH ER1 - K IH0 NG +SHIRL SH ER1 L +SHIRLEE SH ER1 - L IY0 +SHIRLEEN SH ER0 - L IY1 N +SHIRLENE SH ER1 - L IY0 N +SHIRLEY SH ER1 - L IY0 +SHIRLEY'S SH ER1 - L IY0 Z +SHIRLIE SH ER1 - L IY0 +SHIROMA SH IH0 - R OW1 - M AH0 +SHIRONE SH IH0 - R OW1 N +SHIRR SH ER1 +SHIRRELL SH AO1 - R AH0 L +SHIRT SH ER1 T +SHIRTS SH ER1 T S +SHIRTSLEEVE SH ER1 T - S L IY2 V +SHISEIDO SH IH0 - S EY1 - D OW0 +SHISHIDO SH IY0 - SH IY1 - D OW0 +SHISLER SH IH1 - S AH0 - L ER0 +SHISLER(2) SH IH1 S - L ER0 +SHISSLER SH IH1 S - L ER0 +SHIT SH IH1 T +SHITILA SH AH0 - T IH1 - L AH0 +SHIU SH UW1 +SHIVA SH IY1 - V AH0 +SHIVE SH AY1 V +SHIVELEY SH IH1 - V IH0 - L IY0 +SHIVELEY(2) SH IH1 V - L IY0 +SHIVELY SH AY1 V - L IY0 +SHIVER SH IH1 - V ER0 +SHIVERDECKER SH IH1 - V ER0 - D IH0 - K ER0 +SHIVERED SH IH1 - V ER0 D +SHIVERING SH IH1 - V ER0 - IH0 NG +SHIVERS SH IH1 - V ER0 Z +SHIVES SH AY1 V Z +SHIVLEY SH IH1 V - L IY0 +SHIYUAN SH IY1 - UW0 - AA0 N +SHIZUKA SH IH0 - Z UW1 - K AH0 +SHIZUOKA SH IY0 Z - W OW1 - K AH0 +SHLAES SH L EY1 Z +SHLENKER SH L EH1 NG - K ER0 +SHLOBIDAN SH L OW0 - B IH1 - D AH0 N +SHOAF SH OW1 F +SHOAFF SH OW1 F +SHOALS SH OW1 L Z +SHOBANA SH OW2 - B AA1 - N AH0 +SHOBANA'S SH OW2 - B AA1 - N AH0 Z +SHOBANNA SH OW2 - B AA1 - N AH0 +SHOBANNA'S SH OW2 - B AA1 - N AH0 Z +SHOBE SH OW1 B +SHOBER SH OW1 - B ER0 +SHOBERG SH OW1 - B ER0 G +SHOBERT SH AA1 - B ER0 T +SHOCK SH AA1 K +SHOCKED SH AA1 K T +SHOCKER SH AA1 - K ER0 +SHOCKEY SH AA1 - K IY0 +SHOCKING SH AA1 - K IH0 NG +SHOCKINGLY SH AA1 - K IH0 NG - L IY0 +SHOCKLEY SH AA1 K - L IY0 +SHOCKS SH AA1 K S +SHOCKWAVE SH AA1 - K W EY2 V +SHOCKWAVES SH AA1 - K W EY2 V Z +SHOD SH AA1 D +SHODDY SH AA1 - D IY0 +SHOE SH UW1 +SHOE'S SH UW1 Z +SHOEBOX SH OW1 - B AA0 K S +SHOEHORN SH UW1 - HH AO2 R N +SHOEHORNED SH UW1 - HH AO0 R N D +SHOELACE SH UW1 - L EY2 S +SHOELACES SH UW1 - L EY2 - S AH0 Z +SHOEMAKE SH UW1 - M EY2 K +SHOEMAKER SH UW1 - M EY2 - K ER0 +SHOEMAKERS SH UW1 - M EY2 - K ER0 Z +SHOEMATE SH UW1 - M EY2 T +SHOEN SH UW1 N +SHOEPRINT SH UW1 - P R IH2 N T +SHOEPRINTS SH UW1 - P R IH2 N T S +SHOES SH UW1 Z +SHOESHINE SH UW1 - SH AY2 N +SHOESTRING SH UW1 - S T R IH2 NG +SHOFF SH AO1 F +SHOFFNER SH AO1 F - N ER0 +SHOFNER SH AA1 F - N ER0 +SHOGREN SH AA1 - G R EH0 N +SHOGUN SH OW1 - G AH0 N +SHOHAT SH OW1 - HH AE0 T +SHOICHI SH OW0 - IY1 - CH IY0 +SHOICHIRO SH OW2 - IH0 - CH IH1 - R OW0 +SHOJI SH OW1 - JH IY0 +SHOKHIN SH OW1 - K IH2 N +SHOKO SH OW1 - K OW0 +SHOLAR SH OW1 - L ER0 +SHOLEM SH OW1 - L AH0 M +SHOLES SH OW1 L Z +SHOLL SH AA1 L +SHOLLENBERGER SH AA1 - L AH0 N - B ER0 - G ER0 +SHOLLY SH AA1 - L IY0 +SHOLTIS SH OW1 L - T IH0 S +SHOLTO SH OW1 L - T OW0 +SHOMAKER SH OW1 - M EY2 - K ER0 +SHOMO SH OW1 - M OW0 +SHON SH AA1 N +SHONE SH OW1 N +SHONEY SH OW1 - N IY0 +SHONEY'S SH OW1 - N IY0 Z +SHONK SH AA1 NG K +SHONKA SH AA1 NG - K AH0 +SHONKWILER SH AA1 NG - K W AY2 - L ER0 +SHONTZ SH AA1 N T S +SHOO SH UW1 +SHOOB SH UW1 B +SHOOED SH UW1 D +SHOOFLY SH UW1 - F L AY2 +SHOOK SH UH1 K +SHOOP SH UW1 P +SHOOPMAN SH UW1 P - M AH0 N +SHOOSHAN SH UW1 - SH AH0 N +SHOOT SH UW1 T +SHOOTDOWN SH UW1 T - D AW2 N +SHOOTER SH UW1 - T ER0 +SHOOTERS SH UW1 - T ER0 Z +SHOOTIN' SH UW1 - T IH0 N +SHOOTING SH UW1 - T IH0 NG +SHOOTINGS SH UW1 - T IH0 NG Z +SHOOTOUT SH UW1 T - AW0 T +SHOOTOUTS SH UW1 T - AW0 T S +SHOOTS SH UW1 T S +SHOP SH AA1 P +SHOP'S SH AA1 P S +SHOPE SH OW1 P +SHOPKEEPER SH AA1 P - K IY2 - P ER0 +SHOPKEEPERS SH AA1 P - K IY2 - P ER0 Z +SHOPKO SH AA1 P - K OW0 +SHOPKORN SH AA1 P - K AO2 R N +SHOPLIFT SH AA1 P - L IH2 F T +SHOPLIFTER SH AA1 P - L IH2 F - T ER0 +SHOPLIFTERS SH AA1 P - L IH2 F - T ER0 Z +SHOPLIFTING SH AA1 P - L IH2 F - T IH0 NG +SHOPPE SH AA1 P +SHOPPED SH AA1 P T +SHOPPER SH AA1 - P ER0 +SHOPPER'S SH AA1 - P ER0 Z +SHOPPERS SH AA1 - P ER0 Z +SHOPPERS' SH AA1 - P ER0 Z +SHOPPES SH AA1 P S +SHOPPING SH AA1 - P IH0 NG +SHOPPING'S SH AA1 - P IH0 NG Z +SHOPS SH AA1 P S +SHOPTAW SH AA1 P - T AO0 +SHOPWELL SH AA1 P - W EH2 L +SHOPWORN SH AA1 P - W AO2 R N +SHOR SH IY0 - ER1 +SHORB SH AO1 R B +SHORE SH AO1 R +SHORE'S SH AO1 R Z +SHOREBIRD SH AO1 R - B ER2 D +SHORED SH AO1 R D +SHOREHAM SH AO1 - R AH0 M +SHOREHAM(2) SH AO1 R - HH AE2 M +SHORELINE SH AO1 R - L AY2 N +SHORENSTEIN SH AO1 - R AH0 N - S T IY0 N +SHORENSTEIN(2) SH AO1 - R AH0 N - S T AY0 N +SHORES SH AO1 R Z +SHOREWARD SH AO1 R - W ER0 D +SHOREY SH AO1 - R IY0 +SHORIN SH AO1 - R IH0 N +SHORING SH AO1 - R IH0 NG +SHORKEY SH AO1 R - K IY0 +SHORN SH AO1 R N +SHORR SH AO1 R +SHORT SH AO1 R T +SHORT-WINDED SH AO1 R T - W IH1 N - D IH0 D +SHORTAGE SH AO1 R - T AH0 JH +SHORTAGE(2) SH AO1 R - T IH0 JH +SHORTAGES SH AO1 R - T AH0 - JH AH0 Z +SHORTAGES(2) SH AO1 R - T IH0 - JH IH0 Z +SHORTALL SH AO1 R - T AH0 L +SHORTCAKE SH AO1 R T - K EY2 K +SHORTCHANGE SH AO2 R T - CH EY1 N JH +SHORTCHANGED SH AO2 R T - CH EY1 N JH D +SHORTCHANGING SH AO2 R T - CH EY1 N - JH IH0 NG +SHORTCOMING SH AO1 R T - K AH2 - M IH0 NG +SHORTCOMINGS SH AO1 R T - K AH2 - M IH0 NG Z +SHORTCUT SH AO1 R T - K AH2 T +SHORTCUTS SH AO1 R T - K AH2 T S +SHORTED SH AO1 R - T IH0 D +SHORTELL SH AO0 R - T EH1 L +SHORTEN SH AO1 R - T AH0 N +SHORTENED SH AO1 R - T AH0 N D +SHORTENING SH AO1 R - T AH0 N - IH0 NG +SHORTENING(2) SH AO1 R T - N IH0 NG +SHORTENS SH AO1 R - T AH0 N Z +SHORTER SH AO1 R - T ER0 +SHORTER'S SH AO1 R - T ER0 Z +SHORTEST SH AO1 R - T IH0 S T +SHORTFALL SH AO1 R T - F AO2 L +SHORTFALLS SH AO1 R T - F AO2 L Z +SHORTGRASS SH AO1 R T - G R AE2 S +SHORTHAIR SH AO1 R T - HH EH2 R +SHORTHAIRED SH AO1 R T - HH EH2 R D +SHORTHAND SH AO1 R T - HH AE2 N D +SHORTING SH AO1 R - T IH0 NG +SHORTLIVED SH AO1 R T - L IH1 V D +SHORTLIVED(2) SH AO1 R T - L AY1 V D +SHORTLY SH AO1 R T - L IY0 +SHORTNESS SH AO1 R T - N AH0 S +SHORTRIDGE SH AO1 R - T R IH0 JH +SHORTS SH AO1 R T S +SHORTS' SH AO1 R T S +SHORTSIGHTED SH AO1 R T - S AY1 - T IH0 D +SHORTSIGHTEDNESS SH AO1 R T - S AY1 - T IH0 D - N IH0 S +SHORTSTOP SH AO1 R T - S T AA2 P +SHORTT SH AO1 R T +SHORTTERM SH AO1 R T - T ER2 M +SHORTWAVE SH AO1 R T - W EY1 V +SHORTY SH AO1 R - T IY0 +SHORTZ SH AO1 R T S +SHORTZ' SH AO1 R T S +SHORTZ'S SH AO1 R T - S IH0 Z +SHOSHONE SH OW0 - SH OW1 - N IY0 +SHOSTAK SH AA1 - S T AH0 K +SHOSTAKOVICH SH AO2 - S T AH0 - K OW1 - V IH0 CH +SHOT SH AA1 T +SHOTGUN SH AA1 T - G AH2 N +SHOTGUNS SH AA1 T - G AH2 N Z +SHOTS SH AA1 T S +SHOTT SH AA1 T +SHOTTS SH AA1 T S +SHOTWELL SH AA1 T - W EH2 L +SHOUGANG SH AW1 - G AA1 NG +SHOUGH SH AW1 +SHOULD SH UH1 D +SHOULD'VE SH UH1 - D AH0 V +SHOULDER SH OW1 L - D ER0 +SHOULDERED SH OW1 L - D ER0 D +SHOULDERING SH OW1 L - D ER0 - IH0 NG +SHOULDERS SH OW1 L - D ER0 Z +SHOULDN'T SH UH1 - D AH0 N T +SHOULTS SH OW1 L T S +SHOULTZ SH OW1 L T S +SHOUMAKER SH UW1 - M EY2 - K ER0 +SHOUN SH AW1 N +SHOUP SH UW1 P +SHOUPE SH UW1 P +SHOUSE S HH AW1 S +SHOUT SH AW1 T +SHOUTED SH AW1 - T AH0 D +SHOUTED(2) SH AW1 - T IH0 D +SHOUTING SH AW1 - T IH0 NG +SHOUTS SH AW1 T S +SHOVAL SH OW1 - V AE0 L +SHOVE SH AH1 V +SHOVED SH AH1 V D +SHOVEL SH AH1 - V AH0 L +SHOVELED SH AH1 - V AH0 L D +SHOVELING SH AH1 - V L IH0 NG +SHOVELS SH AH1 - V AH0 L Z +SHOVER SH AH1 - V ER0 +SHOVES SH AH1 V Z +SHOVING SH AH1 - V IH0 NG +SHOVLIN SH AA1 V - L IH0 N +SHOW SH OW1 +SHOW'S SH OW1 Z +SHOWA SH OW1 - AH0 +SHOWALTER SH OW1 - AH0 L - T ER0 +SHOWBIZ SH OW1 - B IH0 Z +SHOWBOAT SH OW1 - B OW2 T +SHOWBOAT'S SH OW1 - B OW2 T S +SHOWBUZZ SH OW1 - B AH2 Z +SHOWCASE SH OW1 - K EY2 S +SHOWCASED SH OW1 - K EY2 S T +SHOWCASES SH OW1 - K EY2 - S IH0 Z +SHOWCASING SH OW1 - K EY0 - S IH0 NG +SHOWDOWN SH OW1 - D AW2 N +SHOWDOWNS SH OW1 - D AW2 N Z +SHOWED SH OW1 D +SHOWELL SH AA1 - W EH0 L +SHOWER SH AW1 - ER0 +SHOWERED SH AW1 - ER0 D +SHOWERING SH AW1 - ER0 - IH0 NG +SHOWERS SH AW1 - ER0 Z +SHOWGIRL SH OW1 - G ER2 L +SHOWGIRLS SH OW1 - G ER2 L Z +SHOWIEST SH OW1 - IY0 - AH0 S T +SHOWING SH OW1 - IH0 NG +SHOWINGS SH OW1 - IH0 NG Z +SHOWMAN SH OW1 - M AH0 N +SHOWMANSHIP SH OW1 - M AH0 N - SH IH2 P +SHOWN SH OW1 N +SHOWPIECE SH OW1 - P IY2 S +SHOWPLACE SH OW1 - P L EY2 S +SHOWROOM SH OW1 - R UH2 M +SHOWROOM(2) SH OW1 - R UW2 M +SHOWROOMS SH OW1 - R UW2 M Z +SHOWS SH OW1 Z +SHOWS' SH OW1 Z +SHOWSCAN SH OW1 - S K AE2 N +SHOWTIME SH OW1 - T AY2 M +SHOWTIME'S SH OW1 - T AY2 M Z +SHOWY SH OW1 - IY0 +SHRADER SH R EY1 - D ER0 +SHRAKE SH R EY1 K +SHRAMEK SH R AE1 - M IH0 K +SHRANK SH R AE1 NG K +SHRAPNEL SH R AE1 P - N AH0 L +SHRECK SH R EH1 K +SHRED SH R EH1 D +SHREDDED SH R EH1 - D AH0 D +SHREDDED(2) SH R EH1 - D IH0 D +SHREDDER SH R EH1 - D ER0 +SHREDDERS SH R EH1 - D ER0 Z +SHREDDING SH R EH1 - D IH0 NG +SHREDS SH R EH1 D Z +SHREEVE SH R IY1 V +SHREFFLER SH R EH1 F - L ER0 +SHREIBER SH R AY1 - B ER0 +SHREINER SH R AY1 - N ER0 +SHREVE SH R IY1 V +SHREVEPORT SH R IY1 V - P AO2 R T +SHREVES SH R IY1 V Z +SHREWD SH R UW1 D +SHREWDEST SH R UW1 - D AH0 S T +SHREWDLY SH R UW1 D - L IY0 +SHREWDNESS SH R UW1 D - N AH0 S +SHREWSBERRY SH R UW1 Z - B EH2 - R IY0 +SHREWSBURY SH R UW1 Z - B EH2 - R IY0 +SHRI SH R IY1 +SHRIBER SH R AY1 - B ER0 +SHRIBMAN SH R IH1 B - M AH0 N +SHRIDER SH R AY1 - D ER0 +SHRIEK SH R IY1 K +SHRIEKED SH R IY1 K T +SHRIEKING SH R IY1 - K IH0 NG +SHRIEKS SH R IY1 K S +SHRIFT SH R IH1 F T +SHRIKANT SH R IY2 - K AA1 N T +SHRIKELIKE SH R AY1 - K L AY2 K +SHRILL SH R IH1 L +SHRIMP SH R IH1 M P +SHRIMPER SH R IH1 M - P ER0 +SHRIMPERS SH R IH1 M - P ER0 Z +SHRINE SH R AY1 N +SHRINER SH R AY1 - N ER0 +SHRINERS SH R AY1 - N ER0 Z +SHRINES SH R AY1 N Z +SHRINK SH R IH1 NG K +SHRINKAGE SH R IH1 NG - K IH0 JH +SHRINKING SH R IH1 NG - K IH0 NG +SHRINKS SH R IH1 NG K S +SHRIVEL SH R IH1 - V AH0 L +SHRIVELED SH R IH1 - V AH0 L D +SHRIVELING SH R IH1 - V AH0 L - IH0 NG +SHRIVELING(2) SH R IH1 V - L IH0 NG +SHRIVER SH R AY1 - V ER0 +SHROCK SH R AA1 K +SHRODE SH R OW1 D +SHROFF SH R AO1 F +SHRONTZ SH R AA1 N T S +SHROPSHIRE SH R AA1 P - SH AY2 R +SHROUD SH R AW1 D +SHROUDED SH R AW1 - D IH0 D +SHROUDING SH R AW1 - D IH0 NG +SHROUDS SH R AW1 D Z +SHROUT SH R AW1 T +SHROYER SH R OY1 - ER0 +SHRUB SH R AH1 B +SHRUBBERY SH R AH1 - B ER0 - IY0 +SHRUBBY SH R AH1 - B IY0 +SHRUBLIKE SH R AH1 - B L AY2 K +SHRUBS SH R AH1 B Z +SHRUG SH R AH1 G +SHRUGGED SH R AH1 G D +SHRUGGING SH R AH1 - G IH0 NG +SHRUGS SH R AH1 G Z +SHRUM SH R AH1 M +SHRUNK SH R AH1 NG K +SHRUNKEN SH R AH1 NG - K AH0 N +SHRYOCK SH R AY1 - AA0 K +SHTICK SH T IH1 K +SHU SH UW1 +SHUART SH UW1 - ER0 T +SHUBERT SH UW1 - B ER0 T +SHUBIN SH UW1 - B IH0 N +SHUCHMAN SH AH1 K - M AH0 N +SHUCHMAN'S SH AH1 K - M AH0 N Z +SHUCK SH AH1 K +SHUCKED SH AH1 K T +SHUCKING SH AH1 - K IH0 NG +SHUCKS SH AH1 K S +SHUDA SH UW1 - D AH0 +SHUDDER SH AH1 - D ER0 +SHUDDERED SH AH1 - D ER0 D +SHUDDERING SH AH1 - D ER0 - IH0 NG +SHUDDERS SH AH1 - D ER0 Z +SHUE SH UW1 +SHUEY SH UW1 - IY0 +SHUFELT SH UW1 - F EH0 L T +SHUFF SH AH1 F +SHUFFIELD SH AH1 - F IY2 L D +SHUFFLE SH AH1 - F AH0 L +SHUFFLED SH AH1 - F AH0 L D +SHUFFLER SH AH1 - F AH0 L - ER0 +SHUFFLER(2) SH AH1 F - L ER0 +SHUFFLERS SH AH1 - F AH0 L - ER0 Z +SHUFFLERS(2) SH AH1 F - L ER0 Z +SHUFFLES SH AH1 - F AH0 L Z +SHUFFLING SH AH1 - F L IH0 NG +SHUFFLING(2) SH AH1 - F UH1 - L IH0 NG +SHUFORD SH UW1 - F ER0 D +SHUFRO SH AH1 - F R OW0 +SHUGARS SH UW1 - G ER0 Z +SHUGART SH AH1 - G AA0 R T +SHUGHART SH AH1 G - HH AA2 R T +SHUGRUE SH AH1 - G R UW0 +SHUI SH UW1 - IY0 +SHUKLA SH AH1 - K L AH0 +SHUKRI SH UW1 - K R IY0 +SHULA SH UW1 - L AH0 +SHULAR SH UW1 - L ER0 +SHULER SH UW1 - L ER0 +SHULL SH AH1 L +SHULMAN SH UH1 L - M AH0 N +SHULTIS SH AH1 L - T IH0 S +SHULTS SH AH1 L T S +SHULTZ SH UH1 L T S +SHULTZ'S SH UH1 L T - S IH1 Z +SHUM SH AH1 M +SHUMAKE SH UW1 - M EY2 K +SHUMAKER SH UW1 - M EY2 - K ER0 +SHUMAN SH UW1 - M AH0 N +SHUMARD SH UW1 - M ER0 D +SHUMATE SH UW1 - M EY2 T +SHUMEET SH UW0 - M IY1 T +SHUMER SH UW1 - M ER0 +SHUMPERT SH AH1 M - P ER0 T +SHUMSKY SH AH1 M - S K IY0 +SHUMWAY SH AH1 M - W EY2 +SHUN SH AH1 N +SHUNK SH AH1 NG K +SHUNNED SH AH1 N D +SHUNNING SH AH1 - N IH0 NG +SHUNS SH AH1 N Z +SHUNT SH AH1 N T +SHUNTED SH AH1 N - T IH0 D +SHUNTING SH AH1 N - T IH0 NG +SHUNTO SH AH1 N - T OW0 +SHUPE SH UW1 P +SHUPERT SH UW1 - P ER0 T +SHUPING SH UW1 - P IH0 NG +SHUPP SH AH1 P +SHUR SH ER1 +SHURE SH UH1 R +SHURGARD SH UH1 R - G AA2 R D +SHURLEY SH ER1 - L IY0 +SHURR SH ER1 +SHURTLEFF SH ER1 T - L IH0 F +SHURTLIFF SH ER1 T - L IH0 F +SHURTZ SH ER1 T S +SHUSTER SH AH1 - S T ER0 +SHUSTERMAN SH AH1 - S T ER0 - M AH0 N +SHUT SH AH1 T +SHUTDOWN SH AH1 T - D AW2 N +SHUTDOWNS SH AH1 T - D AW2 N Z +SHUTE SH UW1 T +SHUTES SH UW1 T S +SHUTOUT SH AH1 T - AW2 T +SHUTS SH AH1 T S +SHUTT SH AH1 T +SHUTTER SH AH1 - T ER0 +SHUTTERED SH AH1 - T ER0 D +SHUTTERING SH AH1 - T ER0 - IH0 NG +SHUTTERS SH AH1 - T ER0 Z +SHUTTING SH AH1 - T IH0 NG +SHUTTLE SH AH1 - T AH0 L +SHUTTLE'S SH AH1 - T AH0 L Z +SHUTTLED SH AH1 - T AH0 L D +SHUTTLES SH AH1 - T AH0 L Z +SHUTTLESWORTH SH AH1 - T AH0 L Z - W ER2 TH +SHUTTLEWORTH SH AH1 - T AH0 L - W ER2 TH +SHUTTLING SH AH1 - T AH0 L - IH0 NG +SHUTTLING(2) SH AH1 T - L IH0 NG +SHUTTS SH AH1 T S +SHUWA SH UW1 - W AH0 +SHUWA'S SH UW1 - W AH0 Z +SHY SH AY1 +SHYING SH AY1 - IH0 NG +SHYJAN SH AY1 - JH AE2 N +SHYLOCK SH AY1 - L AA2 K +SHYLY SH AY1 - L IY0 +SHYMANSKI SH AH0 - M AE1 N - S K IY0 +SHYNE SH AY1 N +SHYNESS SH AY1 - N AH0 S +SHYSTER SH AY1 - S T ER0 +SHYSTERS SH AY1 - S T ER0 Z +SI S IY1 +SIAD S AY1 - AE0 D +SIAM S AY0 - AE1 M +SIAM(2) S AY1 - AE0 M +SIAMESE S AY2 - AH0 - M IY1 Z +SIANG S Y AE1 NG +SIANG(2) SH AE1 NG +SIANO S IY0 - AA1 - N OW0 +SIAS ZH AO1 Z +SIB S IH1 B +SIBBIE S IH1 - B IY0 +SIBBY S IH1 - B IY0 +SIBELLE S IH0 - B EH1 L +SIBERIA S AY0 - B IH1 - R IY0 - AH0 +SIBERIAN S AY0 - B IH1 - R IY0 - AH0 N +SIBERT S IH1 - B ER0 T +SIBIL S IH1 - B AH0 L +SIBILIA S IY0 - B IY1 - L IY0 - AH0 +SIBILLA S IH0 - B IH1 - L AH0 +SIBILLE S IH1 - B IH0 L +SIBLE S AY1 - B AH0 L +SIBLEY S IH1 - B L IY0 +SIBLING S IH1 - B L IH0 NG +SIBLINGS S IH1 B - L IH0 NG Z +SIBSON S IH1 B - S AH0 N +SIBYL S IH1 - B AH0 L +SIBYLL S IH1 - B IH0 L +SIC S IH1 K +SICA S IY1 - K AH0 +SICARD S IH1 - K ER0 D +SICHEL S IH1 - K AH0 L +SICHUAN S IH2 CH - W AA1 N +SICILIA S IH0 - S IH1 - L Y AH0 +SICILIAN S IH0 - S IH1 - L IY0 - AH0 N +SICILIANO S IY0 - CH IY0 - L IY0 - AA1 - N OW0 +SICILY S IH1 - S AH0 - L IY0 +SICK S IH1 K +SICKEL S IH1 - K AH0 L +SICKELS S IH1 - K AH0 L Z +SICKEN S IH1 - K AH0 N +SICKENED S IH1 - K AH0 N D +SICKENING S IH1 - K AH0 - N IH0 NG +SICKENING(2) S IH1 K - N IH0 NG +SICKER S IH1 - K ER0 +SICKEST S IH1 - K AH0 S T +SICKINGER S IH1 - K IH0 - NG ER0 +SICKLE S IH1 - K AH0 L +SICKLER S IH1 K - L ER0 +SICKLES S IH1 - K AH0 L Z +SICKLY S IH1 K - L IY0 +SICKMAN S IH1 K - M AH0 N +SICKNESS S IH1 K - N AH0 S +SICONOLFI S IY0 - K OW0 - N OW1 L - F IY0 +SICOTTE S IH0 - K AO1 T +SID S IH1 D +SID'S S IH1 D Z +SIDAK S IH1 - D AE0 K +SIDDALL S IH1 - D AH0 L +SIDDELEY S IH1 - D AH0 - L IY0 +SIDDELL S IH1 - D AH0 L +SIDDEN S IH1 - D AH0 N +SIDDENS S IH1 - D AH0 N Z +SIDDHARTHA S IH0 - D AA1 R - T AH2 +SIDDIG S IH1 - D IH0 G +SIDDIQI S IY0 - D IY1 - K IY0 +SIDDIQUI S IY0 - D IY1 - K W IY0 +SIDDLE S IH1 - D AH0 L +SIDDONS S IH1 - D AH0 N Z +SIDE S AY1 D +SIDE'S S AY1 D Z +SIDEARM S AY1 - D AA0 R M +SIDEARMS S AY1 - D AA0 R M Z +SIDEBAR S AY1 D - B AA2 R +SIDEBARS S AY1 D - B AA2 R Z +SIDED S AY1 - D AH0 D +SIDED(2) S AY1 - D IH0 D +SIDEK S AY1 - D EH2 K +SIDEKICK S AY1 D - K IH2 K +SIDELINE S AY1 D - L AY2 N +SIDELINED S AY1 D - L AY2 N D +SIDELINES S AY1 D - L AY2 N Z +SIDELL S AY1 - D AH0 L +SIDEMAN S AY1 D - M AE2 N +SIDENER S IH1 - D IY0 - N ER0 +SIDER S AY1 - D ER0 +SIDERCA S IH0 - D ER1 - K AH0 +SIDERIS S IH1 - D ER0 - IH0 S +SIDEROGRAPHER S AY2 - D ER0 - AO1 - G R AH0 - F ER0 +SIDEROGRAPHERS S AY2 - D ER0 - AO1 - G R AH0 - F ER0 Z +SIDERS S AY1 - D ER0 Z +SIDERS' S AY1 - D ER0 Z +SIDES S AY1 D Z +SIDES' S AY1 D Z +SIDESHOW S AY1 D - SH OW2 +SIDESHOWS S AY1 D - SH OW2 Z +SIDESTEP S AY1 D - S T EH2 P +SIDESTEPPED S AY1 D - S T EH2 P T +SIDESTEPPING S AY1 D - S T EH2 - P IH0 NG +SIDESTEPS S AY1 D - S T EH2 P S +SIDESTREAM S AY1 D - S T R IY2 M +SIDETRACK S AY1 D - T R AE2 K +SIDETRACKED S AY1 D - T R AE2 K T +SIDEWALK S AY1 D - W AO2 K +SIDEWALKS S AY1 D - W AO2 K S +SIDEWATER S AY1 D - W AO2 - T ER0 +SIDEWAYS S AY1 D - W EY2 Z +SIDEWINDER S AY1 D - W AY2 N - D ER0 +SIDEWISE S AY1 D - W AY2 Z +SIDEY S AY1 - D IY0 +SIDHU S IH1 D - HH UW0 +SIDING S AY1 - D IH0 NG +SIDLE S AY1 - D AH0 L +SIDLER S AY1 - D AH0 - L ER0 +SIDLER(2) S AY1 D - L ER0 +SIDLEY S IH1 D - L IY0 +SIDMAN S IH1 D - M AH0 N +SIDNEY S IH1 D - N IY0 +SIDON S AY1 - D AH0 N +SIDONIA S IY0 - D OW1 - N IY0 - AH0 +SIDOR S IH1 - D ER0 +SIDOTI S IY0 - D OW1 - T IY0 +SIDRA S IH1 - D R AH0 +SIDS S IH1 D Z +SIDWELL S IH1 D - W EH2 L +SIE S IY1 +SIE(2) EH1 - S AY1 - IY1 +SIEBE S IY1 B +SIEBEL S IY1 - B AH0 L +SIEBELS S IY1 - B AH0 L Z +SIEBEN S IY1 - B AH0 N +SIEBENALER S IY1 - B IH0 - N AH0 - L ER0 +SIEBENALER(2) S IY1 - B IH0 - N AA2 - L ER0 +SIEBER S IY1 - B ER0 +SIEBERS S IY1 - B ER0 Z +SIEBERT S IY1 - B ER0 T +SIEBOLD S IY1 - B OW2 L D +SIEBRECHT S IY1 - B R IH0 K T +SIECK S IY1 K +SIECLE S IY1 - K AH0 L +SIEDENBURG S IY1 - D AH0 N - B ER0 G +SIEDLECKI S IY0 D - L EH1 T S - K IY0 +SIEDSCHLAG S IY1 D - SH L AH0 G +SIEFERT S IY1 - F ER0 T +SIEFERT'S S IY1 - F ER0 T S +SIEFKEN S IY1 F - K AH0 N +SIEFKER S IY1 F - K ER0 +SIEG S IY1 G +SIEGAL S IY1 - G AH0 L +SIEGAN S IY1 - G AH0 N +SIEGAN'S S IY1 - G AH0 N Z +SIEGE S IY1 JH +SIEGECRAFT S IY1 JH - K R AE2 F T +SIEGEL S IY1 - G AH0 L +SIEGEL'S S IY1 - G AH0 L Z +SIEGELL S IY1 - G AH0 L +SIEGELMAN S IY1 - G AH0 L - M AH0 N +SIEGENTHALER S IY1 - G IH0 N - TH AH0 - L ER0 +SIEGER S IY1 - G ER0 +SIEGERT S IY1 - G ER0 T +SIEGES S IY1 - JH IH0 Z +SIEGFRIED S IY1 G - F R IY2 D +SIEGLE S IY1 - G AH0 L +SIEGLER S IY1 G - L ER0 +SIEGMAN S IY1 G - M AH0 N +SIEGMANN S IY1 G - M AH0 N +SIEGMUND S IY1 G - M AH0 N D +SIEGRIST S IY1 - G R IH0 S T +SIEH S IY1 +SIEJA S EY1 - AH0 +SIEJA(2) S EY1 - JH AH0 +SIEK S IY1 K +SIEKIERSKI S IY0 - K IH1 R S - K IY0 +SIEKMAN S IY1 K - M AH0 N +SIELAFF S IY0 - L AE1 F +SIELER S IY1 - L ER0 +SIELING S IY1 - L IH0 NG +SIELOFF S IY1 - L AO0 F +SIELSKI S IY1 L S - K IY0 +SIEM S IY1 M +SIEMEL S IY1 - M AH0 L +SIEMENS S IY1 - M AH0 N Z +SIEMENS'S S IY1 - M AH0 N Z +SIEMENS'S(2) S IY1 - M AH0 N - Z IH0 Z +SIEMER S IY1 - M ER0 +SIEMERS S IY1 - M ER0 Z +SIEMINSKI S IY0 - M IH1 N - S K IY0 +SIEMON S IY1 - M AH0 N +SIEMS S IY1 M Z +SIEMSEN S IY1 M - S AH0 N +SIENKO S IY0 - EH1 NG - K OW0 +SIENNA S IY0 - EH1 - N AH0 +SIENNA'S S IY0 - EH1 - N AH0 Z +SIERACKI S IH0 - R AA1 T S - K IY0 +SIERCHIO S IY1 R - CH IY0 - OW0 +SIERRA S IY0 - EH1 - R AH0 +SIERRA'S S IY0 - EH1 - R AH0 Z +SIERRACIN S IY0 - EH1 - R AH0 - S IH0 N +SIERRAS S IY0 - EH1 - R AH0 Z +SIERS S IY1 R Z +SIES S IY1 Z +SIESE S IY0 - EH1 S +SIESS S IY1 S +SIETSEMA S IY0 - T S IY1 - M AH0 +SIEVE S IH1 V +SIEVER S IY1 - V ER0 +SIEVERS S IY1 - V ER0 Z +SIEVERT S IY1 - V ER0 T +SIEVES S IH1 V Z +SIEVING S IH1 - V IH0 NG +SIEW S UW1 +SIEWERT S IY1 - W ER0 T +SIEWIOREK S AH0 - W AO1 - R IH0 K +SIFCO S IH1 F - K OW0 +SIFERS S AY1 - F ER0 Z +SIFFORD S IH1 - F ER0 D +SIFT S IH1 F T +SIFTED S IH1 F - T IH0 D +SIFTING S IH1 F - T IH0 NG +SIFTS S IH1 F T S +SIFUENTES S IY0 F - W EH1 N - T EH0 S +SIG S IH1 G +SIGAFOOS S IH1 - G AH0 - F UW2 Z +SIGAL S AY1 - JH AH0 L +SIGALA S IY0 - G AA1 - L AH0 +SIGEL S IH1 - G AH0 L +SIGFREDA S IY0 G - F R EH1 - D AH0 +SIGG S IH1 G +SIGGERS S IH1 - G ER0 Z +SIGGINS S IH1 - G IH0 N Z +SIGH S AY1 +SIGHED S AY1 D +SIGHING S AY1 - IH0 NG +SIGHS S AY1 Z +SIGHT S AY1 T +SIGHT-SEER S AY1 T - S IY1 R +SIGHTED S AY1 - T AH0 D +SIGHTED(2) S AY1 - T IH0 D +SIGHTING S AY1 - T IH0 NG +SIGHTINGS S AY1 - T IH0 NG Z +SIGHTS S AY1 T S +SIGHTSEE S AY1 T - S IY1 +SIGHTSEEING S AY1 T - S IY1 - IH0 NG +SIGHTSEER S AY1 T - S IY1 - ER0 +SIGHTSEER(2) S AY1 T - S IY1 R +SIGHTSEERS S AY1 T - S IY1 - ER0 Z +SIGHTSEERS(2) S AY1 T - S IY1 R Z +SIGL S IH1 - G AH0 L +SIGLE S AY1 - G AH0 L +SIGLER S AY1 - G AH0 - L ER0 +SIGLER(2) S AY1 - G L ER0 +SIGLER(3) S IH1 G - L ER0 +SIGLEY S IH1 G - L IY0 +SIGLIN S IH1 G - L IH0 N +SIGMA S IH1 G - M AH0 +SIGMAFORM S IH1 G - M AH0 - F AO0 R M +SIGMAN S IH1 G - M AH0 N +SIGMON S IH1 G - M AH0 N +SIGMUND S IH1 G - M AH0 N D +SIGN S AY1 N +SIGN'S S AY1 N Z +SIGNA S IH1 G - N AH0 +SIGNAGE S AY1 - N IH0 JH +SIGNAL S IH1 G - N AH0 L +SIGNAL'S S IH1 G - N AH0 L Z +SIGNALED S IH1 G - N AH0 L D +SIGNALING S IH1 G - N AH0 L - IH0 NG +SIGNALLED S IH1 G - N AH0 L D +SIGNALLING S IH1 G - N AH0 L - IH0 NG +SIGNALS S IH1 G - N AH0 L Z +SIGNATORIES S IH1 G - N AH0 - T AO2 - R IY0 Z +SIGNATORY S IH1 G - N AH0 - T AO2 - R IY0 +SIGNATURE S IH1 G - N AH0 - CH ER0 +SIGNATURES S IH1 G - N AH0 - CH ER0 Z +SIGNED S AY1 N D +SIGNER S AY1 - N ER0 +SIGNERS S AY1 - N ER0 Z +SIGNET S IH1 G - N IH0 T +SIGNIFICANCE S AH0 G - N IH1 - F IH0 - K AH0 N S +SIGNIFICANCE(2) S IH0 G - N IH1 - F IH0 - K AH0 N S +SIGNIFICANT S AH0 G - N IH1 - F IH0 - K AH0 N T +SIGNIFICANT(2) S IH0 G - N IH1 - F IH0 - K AH0 N T +SIGNIFICANTLY S IH0 G - N IH1 - F IH0 - K AH0 N T - L IY0 +SIGNIFIED S IH1 G - N AH0 - F AY2 D +SIGNIFIES S IH1 G - N AH0 - F AY2 Z +SIGNIFY S IH1 G - N AH0 - F AY2 +SIGNIFYING S IH1 G - N AH0 - F AY2 - IH0 NG +SIGNING S AY1 - N IH0 NG +SIGNINGS S AY1 - N IH0 NG Z +SIGNOR S IY1 - N Y AO0 R +SIGNORE S IY0 - N Y AO1 - R EY0 +SIGNORELLI S IY0 G - N AO0 - R EH1 - L IY0 +SIGNORI S IH0 G - N AO1 - R IY0 +SIGNORI(2) S IY0 - N Y AO1 - R IY1 +SIGNPOST S AY1 N - P OW2 S T +SIGNPOSTS S AY1 N - P OW2 S T S +SIGNPOSTS(2) S AY1 N - P OW2 S S +SIGNPOSTS(3) S AY1 N - P OW2 S +SIGNS S AY1 N Z +SIGOLOFF S IH1 - G AH0 - L AO0 F +SIGOURNEY S IH0 - G AO1 R - N IY0 +SIGRID S IH1 - G R IH0 D +SIGRIST S IH1 - G R IH0 S T +SIGUR S IH1 - G ER0 +SIGURD S IH1 - G ER0 D +SIGURDSON S IH1 - G ER0 D - S AH0 N +SIGWALD S IH1 - G W AH0 L D +SIHANOUK S IY1 - AH0 - N UH2 K +SIKES S AY1 K S +SIKH S IY1 K +SIKHS S IY1 K S +SIKKEMA S IH0 - K IY1 - M AH0 +SIKORA S IH0 - K AO1 - R AH0 +SIKORSKI S IH0 - K AO1 R S - K IY0 +SIKORSKY S IH0 - K AO1 R S - K IY0 +SIL S IH1 L +SILAJDZIC S IH2 - L AA1 - JH IH0 K +SILAJDZIC'S S IH2 - L AA1 - JH IH0 K S +SILAS S AY1 - L AH0 S +SILBAUGH S IH1 L - B AO2 +SILBER S IH1 L - B ER0 +SILBERBERG S IH1 L - B ER0 - B ER0 G +SILBERG S IH1 L - B ER0 G +SILBERGELD S IH1 L - B ER0 - G EH2 L D +SILBERMAN S IH1 L - B ER0 - M AH0 N +SILBERNAGEL S IH1 L - B ER0 - N AH0 - G AH0 L +SILBERNER S IH0 L - B ER1 - N ER0 +SILBERNER'S S IH0 L - B ER1 - N ER0 Z +SILBERSTEIN S IH1 L - B ER0 - S T IY2 N +SILBERSTEIN(2) S IH1 L - B ER0 - S T AY2 N +SILBERT S IH1 L - B ER0 T +SILCOTT S IH1 L - K AH0 T +SILCOX S IH1 L - K AA0 K S +SILENCE S AY1 - L AH0 N S +SILENCED S AY1 - L AH0 N S T +SILENCES S AY1 - L AH0 N - S IH0 Z +SILENCING S AY1 - L AH0 N - S IH0 NG +SILENT S AY1 - L AH0 N T +SILENTLY S AY1 - L AH0 N T - L IY0 +SILEO S IH1 - L IY0 - OW0 +SILER S AY1 - L ER0 +SILESIA S IH0 - L IY1 - Z AH0 +SILEX S IH1 - L AH0 K S +SILEX(2) S AY1 - L EH0 K S +SILFIES S IH1 L - F IY0 Z +SILGA S IH1 L - G AH0 +SILGUERO S IY0 L - G EH1 - R OW0 +SILHOUETTE S IH2 - L AH0 W - EH1 T +SILHOUETTED S IH2 - L AH0 W - EH1 - T IH0 D +SILHOUETTES S IH2 - L AH0 W - EH1 T S +SILICA S IH1 - L AH0 - K AH0 +SILICA(2) S IH1 - L IH0 - K AH0 +SILICATE S IH1 - L AH0 - K AH0 T +SILICATE(2) S IH1 - L AH0 - K EY2 T +SILICATES S IH1 - L AH0 - K AH0 T S +SILICATES(2) S IH1 - L AH0 - K EY2 T S +SILICON S IH1 - L AH0 - K AH0 N +SILICONE S IH1 - L AH0 - K OW2 N +SILICONES S IH1 - L AH0 - K OW2 N Z +SILICONIX S IH2 - L IH0 - K AA1 - N IH0 K S +SILK S IH1 L K +SILKEY S IH1 L - K IY0 +SILKS S IH1 L K S +SILKWOOD S IH1 L K - W UH2 D +SILKWORM S IH1 L K - W ER0 M +SILKWORMS S IH1 L K - W ER2 M Z +SILKY S IH1 L - K IY0 +SILL S IH1 L +SILLER S IH1 - L ER0 +SILLERMAN S IH1 - L ER0 - M AH0 N +SILLIER S IH1 - L IY0 - ER0 +SILLIEST S IH1 - L IY0 - AH0 S T +SILLIMAN S IH1 - L IH0 - M AH0 N +SILLINESS S IH1 - L IY0 - N AH0 S +SILLMAN S IH1 L - M AH0 N +SILLS S IH1 L Z +SILLY S IH1 - L IY0 +SILMAN S IH1 L - M AH0 N +SILMON S IY0 L - M AO1 N +SILO S AY1 - L OW0 +SILOS S AY1 - L OW2 Z +SILSBY S IH1 L S - B IY0 +SILT S IH1 L T +SILTEC S IH1 L - T EH2 K +SILVA S IH1 L - V AH0 +SILVA'S S IH1 L - V AH0 Z +SILVA(2) S EH1 L - V AH0 +SILVADIO S IH0 L - V AA1 - D IY0 - OW0 +SILVADIO'S S IH0 L - V AA1 - D IY0 - OW0 Z +SILVANA S IH0 L - V AA1 - N AH0 +SILVAR S IH1 L - V AA0 R +SILVAS S IH1 L - V AH0 Z +SILVEIRA S IY0 L - V EH1 - R AH0 +SILVER S IH1 L - V ER0 +SILVER'S S IH1 L - V ER0 Z +SILVERA S IY0 L - V EH1 - R AH0 +SILVERADO S IH2 L - V ER0 - AA1 - D OW0 +SILVERBERG S IH1 L - V ER0 - B ER0 G +SILVERCREST S IH1 L - V ER0 - K R EH2 S T +SILVERDOME S IH1 L - V ER0 - D OW2 M +SILVERI S IY0 L - V EH1 - R IY0 +SILVERIA S IY0 L - V EH1 - R IY0 - AH0 +SILVERIO S IY0 L - V EH1 - R IY0 - OW0 +SILVERLAKE S IH1 L - V ER0 - L EY2 K +SILVERMAN S IH1 L - V ER0 - M AE2 N +SILVERNAIL S IH1 L - V ER0 - N EY2 L +SILVERPLATE S IH1 L - V ER0 - P L EY1 T +SILVERS S IH1 L - V ER0 Z +SILVERSHOE S IH1 L - V ER0 - SH UW2 +SILVERSIDE S IH1 L - V ER0 - S AY2 D +SILVERSIDES S IH1 L - V ER0 - S AY2 D Z +SILVERSTEIN S IH1 L - V ER0 - S T IY2 N +SILVERSTEIN(2) S IH1 L - V ER0 - S T AY2 N +SILVERSTONE S IH1 L - V ER0 - S T OW2 N +SILVERTHORN S IH1 L - V ER0 - TH AO0 R N +SILVERTHORNE S IH1 L - V ER0 - TH AO0 R N +SILVERWARE S IH1 L - V ER0 - W EH2 R +SILVERY S IH1 L - V ER0 - IY0 +SILVESTER S IH0 L - V EH1 - S T ER0 +SILVESTRE S IY0 L - V EY1 - S T R EY0 +SILVESTRI S IY0 L - V EH1 S - T R IY0 +SILVESTRO S IY0 L - V EY1 S - T R OW0 +SILVEY S IH1 L - V IY0 +SILVI S IH1 L - V IY0 +SILVIA S IH1 L - V IY0 - AH0 +SILVIE S IH1 L - V IY0 +SILVIO S IH1 L - V IY0 - OW0 +SILVIS S IH1 L - V IH0 S +SILVIUS S IH1 L - V IY0 - IH0 S +SIM S IH1 M +SIMA S IY1 - M AH0 +SIMARD S IH1 - M ER0 D +SIMAS S AY1 - M AH0 Z +SIMBA S IH1 M - B AH0 +SIMBA'S S IH1 M - B AH0 Z +SIMCHA S IH1 M - HH AH0 +SIMCO S IH1 M - K OW0 +SIMCOE S IH1 M - K OW2 +SIMCOX S IH1 M - K AA2 K S +SIME S AY1 M +SIMEK S IH1 - M IH0 K +SIMENSON S IH1 - M IH0 N - S AH0 N +SIMENTAL S IH0 - M EH1 N - T AH0 L +SIMEON S IH1 - M IY0 - AH0 N +SIMEONE S IH1 - M IY0 - AH1 N +SIMER S AY1 - M ER0 +SIMERLY S AY1 - M ER0 - L IY0 +SIMERSON S IH1 - M ER0 - S AH0 N +SIMES S AY1 M Z +SIMEX S IH1 - M EH0 K S +SIMEX(2) S AY1 - M EH0 K S +SIMI S IY1 - M IY0 +SIMIAN S IH1 - M IY0 - AH0 N +SIMICH S IH1 - M IH0 CH +SIMIEN S IH1 - M IY0 N +SIMILACK S IH1 - M AH0 - L AE2 K +SIMILAR S IH1 - M AH0 - L ER0 +SIMILARITIES S IH2 - M AH0 - L EH1 - R AH0 - T IY0 Z +SIMILARITY S IH2 - M AH0 - L EH1 - R AH0 - T IY0 +SIMILARLY S IH1 - M AH0 - L ER0 - L IY0 +SIMILIAR S IH0 - M IH1 - L AA0 R +SIMINGTON S IH1 - M IH0 NG - T AH0 N +SIMINSKI S IH0 - M IH1 N - S K IY0 +SIMION S IH1 - M IY0 - AA2 N +SIMIONE S IY2 - M IY0 - OW1 - N IY0 +SIMISON S IH1 - M IH0 - S AH0 N +SIMKIN S IH1 M - K IH0 N +SIMKINS S IH1 M - K IH0 N Z +SIMKO S IH1 M - K OW0 +SIMLER S IH1 - M AH0 - L ER0 +SIMLER(2) S IH1 M - L ER0 +SIMM S IH1 M +SIMMER S IH1 - M ER0 +SIMMERED S IH1 - M ER0 D +SIMMERING S IH1 - M ER0 - IH0 NG +SIMMERMAN S IH1 - M ER0 - M AH0 N +SIMMERS S IH1 - M ER0 Z +SIMMERT S IH1 - M ER0 T +SIMMON S IH1 - M AH0 N +SIMMON'S S IH1 - M AH0 N Z +SIMMONDS S IH1 - M AH0 N D Z +SIMMONS S IH1 - M AH0 N Z +SIMMONS' S IH1 - M AH0 N Z +SIMMONS'S S IH1 - M AH0 N - Z IH0 Z +SIMMS S IH1 M Z +SIMO S IY1 - M OW0 +SIMOES S AY1 - M OW0 Z +SIMON S AY1 - M AH0 N +SIMON'S S AY1 - M AH0 N Z +SIMONA S IH0 - M OW1 - N AH0 +SIMONDS S AY1 - M AH0 N D Z +SIMONE S IH0 - M OW1 N +SIMONEAU S IH1 - M AH0 - N OW0 +SIMONEAUX S IH1 - M AH0 - N OW0 +SIMONELLI S IY2 - M OW0 - N EH1 - L IY0 +SIMONET S IH1 - M AH0 - N EH0 T +SIMONETTA S IY0 - M AH0 - N EH1 - T AH0 +SIMONETTE S IH1 - M AH0 - N EH0 T +SIMONETTI S IY0 - M OW0 - N EH1 - T IY0 +SIMONI S IY0 - M OW1 - N IY0 +SIMONIAN S IH0 - M OW1 - N IY0 - AH0 N +SIMONICH S IH1 - M AH0 - N IH0 K +SIMONIN S IH1 - M AH0 - N IH0 N +SIMONIS S IH1 - M AH0 - N IH0 S +SIMONS S AY1 - M AH0 N Z +SIMONSEN S IH1 - M AH0 N - S AH0 N +SIMONSON S IH1 - M AH0 N - S AH0 N +SIMONSSON S AY1 - M AH0 N - S AH0 N +SIMONTON S AY1 - M AH0 N - T AH0 N +SIMONTON(2) S IH0 - M AA1 N - T AH0 N +SIMONY S AY1 - M AH0 - N IY0 +SIMPER S IH1 M - P ER0 +SIMPKINS S IH1 M P - K IH0 N Z +SIMPLE S IH1 M - P AH0 L +SIMPLER S IH1 M - P AH0 - L ER0 +SIMPLER(2) S IH1 M - P L ER0 +SIMPLESSE S IH0 M - P L EH1 S +SIMPLEST S IH1 M - P L AH0 S T +SIMPLEX S IH1 M - P L EH2 K S +SIMPLICITY S IH0 M - P L IH1 - S AH0 - T IY0 +SIMPLICITY(2) S IH0 M - P L IH1 - S IH0 - T IY0 +SIMPLIFICATION S IH2 M - P L AH0 - F IH0 - K EY1 - SH AH0 N +SIMPLIFIED S IH1 M - P L AH0 - F AY2 D +SIMPLIFIES S IH1 M - P L AH0 - F AY2 Z +SIMPLIFY S IH1 M - P L AH0 - F AY2 +SIMPLIFYING S IH1 M - P L AH0 - F AY2 - IH0 NG +SIMPLISTIC S IH0 M - P L IH1 - S T IH0 K +SIMPLOT S IH1 M - P L AA0 T +SIMPLY S IH1 M - P L IY0 +SIMPSON S IH1 M P - S AH0 N +SIMPSON'S S IH1 M P - S AH0 N Z +SIMPSONS S IH1 M P - S AH0 N Z +SIMPSONS' S IH1 M P - S AH0 N Z +SIMS S IH1 M Z +SIMS' S IH1 M Z +SIMSBURY S IH1 M Z - B EH2 - R IY0 +SIMSON S IH1 M - S AH0 N +SIMULAC S IH1 - M Y AH0 - L AE2 K +SIMULATE S IH1 - M Y AH0 - L AH0 T +SIMULATE(2) S IH1 - M Y AH0 - L EY2 T +SIMULATED S IH1 - M Y AH0 - L EY2 - T IH0 D +SIMULATES S IH1 - M Y AH0 - L EY2 T S +SIMULATING S IH1 - M Y AH0 - L EY2 - T IH0 NG +SIMULATION S IH2 - M Y AH0 - L EY1 - SH AH0 N +SIMULATIONS S IH2 - M Y UW0 - L EY1 - SH AH0 N Z +SIMULATIONS(2) S IH2 - M Y AH0 - L EY1 - SH AH0 N Z +SIMULATOR S IH1 - M Y AH0 - L EY2 - T ER0 +SIMULATORS S IH1 - M Y AH0 - L EY2 - T ER0 Z +SIMULCAST S AY1 - M Y AH0 L - K AE2 S T +SIMULCAST(2) S IH1 - M Y AH0 L - K AE2 S T +SIMULTANEOUS S AY2 - M AH0 L - T EY1 - N IY0 - AH0 S +SIMULTANEOUSLY S AY2 - M AH0 L - T EY1 - N IY0 - AH0 S - L IY0 +SIN S IH1 N +SINAGRA S IH0 - N AE1 - G R AH0 +SINAI S AY1 - N AY2 +SINAR S AY1 - N ER0 +SINATRA S AH0 - N AA1 - T R AH0 +SINATRA'S S AH0 - N AA1 - T R AH0 Z +SINAY S IH0 - N EY1 +SINBAD S IH1 N - B AE2 D +SINCAVAGE S IY0 N - K AA1 - V IH0 JH +SINCE S IH1 N S +SINCERE S IH0 N - S IH1 R +SINCERELY S IH0 N - S IH1 R - L IY0 +SINCERITY S IH0 N - S EH1 - R AH0 - T IY0 +SINCLAIR S IH0 N - K L EH1 R +SINCLAIR(2) S IH1 N - K L EH0 R +SIND S IH1 N D +SINDELAR S IH1 N - D IH0 - L ER0 +SINDLINGER S IH1 N D - L IH2 - NG ER0 +SINDONA S IH0 N - D OW1 - N AH0 +SINDONI S IY0 N - D OW1 - N IY0 +SINDT S IH1 N T +SINE S AY1 N +SINEAD S IH0 - N EY1 - AE0 D +SINEAD(2) SH IH0 - N IY1 D +SINEATH S IH1 - N EH0 TH +SINEGAL S IH1 - N IH0 - G AH0 L +SINER S AY1 - N ER0 +SINES S AY1 N Z +SINEWY S IH1 - N Y UW0 - IY0 +SINFONIA S IH0 N - F OW1 - N IY0 - AH0 +SINFUL S IH1 N - F AH0 L +SING S IH1 NG +SINGAPORE S IH1 NG - AH0 - P AO2 R +SINGAPORE'S S IH1 NG - AH0 - P AO0 R Z +SINGAPOREAN S IH0 NG - G AH0 - P AO1 - R IY0 - AH0 N +SINGAPOREANS S IH0 NG - G AH0 - P AO1 - R IY0 - AH0 N Z +SINGE S IH1 N JH +SINGED S IH1 N JH D +SINGEL S IH1 NG - G AH0 L +SINGER S IH1 - NG ER0 +SINGER'S S IH1 - NG ER0 Z +SINGERMAN S IH1 N - JH ER2 - M AH0 N +SINGERS S IH1 - NG ER0 Z +SINGH S IH1 NG +SINGH'S S IH1 NG Z +SINGIN' S IH1 - NG IH0 N +SINGING S IH1 - NG IH0 NG +SINGLAUB S IH1 NG - L AW2 B +SINGLE S IH1 NG - G AH0 L +SINGLE-HANDED S IH1 NG - G AH0 L - HH AE1 N - D IH0 D +SINGLED S IH1 NG - G AH0 L D +SINGLEHANDEDLY S IH2 NG - G AH0 L - HH AE1 N - D IH0 D - L IY0 +SINGLER S IH1 NG - G AH0 - L ER0 +SINGLER(2) S IH1 NG - G L ER0 +SINGLES S IH1 NG - G AH0 L Z +SINGLETARY S IH1 NG - G AH0 L - T EH0 - R IY0 +SINGLETERRY S IH1 NG - G AH0 L - T EH0 - R IY0 +SINGLETON S IH1 NG - G AH0 L - T AH0 N +SINGLETON'S S IH1 NG - G AH0 L - T AH0 N Z +SINGLEY S IH1 NG - G L IY0 +SINGLING S IH1 NG - G AH0 L - IH0 NG +SINGLING(2) S IH1 NG - G L IH0 NG +SINGLY S IH1 NG - G L IY0 +SINGS S IH1 NG Z +SINGULAR S IH1 NG - G Y AH0 - L ER0 +SINGULARIZATION S IH2 NG - G Y AH0 - L ER0 - IH0 - Z EY1 - SH AH0 N +SINGULARLY S IH1 NG - G Y AH0 - L ER0 - L IY0 +SINHA S IH1 N - HH AH0 +SINHALESE S IH2 N - AH0 - L IY1 Z +SINIARD S IH1 - N IY0 - ER0 D +SINIBALDI S IH0 - N IH0 - B AA1 L - D IY0 +SINISCALCHI S IH0 - N IH0 - S K AA1 L - K IY0 +SINISE S IH0 - N IY1 Z +SINISI S IH0 - N IY1 - S IY0 +SINISTER S IH1 - N IH0 - S T ER0 +SINK S IH1 NG K +SINKER S IH1 NG - K ER0 +SINKFIELD S IH1 NG K - F IY2 L D +SINKHOLE S IH1 NG K - HH OW2 L +SINKHORN S IH1 NG K - HH ER0 N +SINKING S IH1 NG - K IH0 NG +SINKLER S IH1 NG - K L ER0 +SINKO S IH1 NG - K OW0 +SINKS S IH1 NG K S +SINN S IH1 N +SINNED S IH1 N D +SINNER S IH1 - N ER0 +SINNERS S IH1 - N ER0 Z +SINNETT S IH1 - N IH0 T +SINNING S IH1 - N IH0 NG +SINNOTT S IH1 - N AH0 T +SINO S AY1 - N OW0 +SINOPEC S AY1 - N OW0 - P EH2 K +SINOPOLI S IY0 - N OW0 - P OW1 - L IY0 +SINOPOLI(2) S IY0 - N AA1 - P OW0 - L IY0 +SINOR S AY1 - N ER0 +SINQUEFIELD S IH1 N - K W IH0 - F IY0 L D +SINS S IH1 N Z +SINSABAUGH S IH1 N - S AH0 - B AO2 +SINSEL S IH1 N - S AH0 L +SINTON S IH1 N - T AH0 N +SINUOUS S IH1 - N W AH0 S +SINUS S AY1 - N AH0 S +SINUSES S AY1 - N AH0 - S AH0 Z +SINYARD S IH1 N - Y AA2 R D +SIOBHAN SH AW1 - B AA2 N +SIOUX S UW1 +SIP S IH1 P +SIPE S AY1 P +SIPELSTEIN S IH1 - P AH0 L - S T AY0 N +SIPELSTEIN(2) S IH1 - P AH0 L - S T IY0 N +SIPES S AY1 P S +SIPHON S AY1 - F AH0 N +SIPHONED S AY1 - F AH0 N D +SIPHONING S AY1 - F AH0 N - IH0 NG +SIPHONS S AY1 - F AH0 N Z +SIPLE S AY1 - P AH0 L +SIPOS S AY1 - P OW0 Z +SIPP S IH1 P +SIPPED S IH1 P T +SIPPEL S IH1 - P AH0 L +SIPPICAN S IH1 - P IH0 - K AH0 N +SIPPING S IH1 - P IH0 NG +SIPPLE S IH1 - P AH0 L +SIPS S IH1 P S +SIR S ER1 +SIRACUSA S IH0 - R AA0 - K UW1 - S AH0 +SIRACUSE S IH0 - R AA0 - K UW1 - S IY0 +SIRAGUSA S IH0 - R AA0 - G UW1 - S AH0 +SIRAVO S IH0 - R AA1 - V OW0 +SIRCY S ER1 - K IY0 +SIRE S AY1 - ER0 +SIREK S AO1 - R IH0 K +SIREN S AY1 - R AH0 N +SIRENA S IH0 - R EH1 - N AH0 +SIRENS S AY1 - R AH0 N Z +SIRES S AY1 R Z +SIRHAN S IH1 R - HH AA2 N +SIRHAN(2) S IH1 R - HH AE2 N +SIRI S IH1 - R IY0 +SIRIANNI S IH0 - R IY0 - AA1 - N IY0 +SIRIGNANO S IH2 - R IY0 - N Y AA1 - N OW0 +SIRIS S AY1 - R IH0 S +SIRIS(2) S IH1 - R IH0 S +SIRK S ER1 K +SIRKIN S ER1 - K IH0 N +SIRKO S ER1 - K OW0 +SIRLES S ER1 L Z +SIRMAN S ER1 - M AH0 N +SIRMANS S ER1 - M AH0 N Z +SIRMON S ER1 - M AH0 N +SIRMONS S ER1 - M AH0 N Z +SIRNA S ER1 - N AH0 +SIROHI S ER0 - OW1 - HH IY0 +SIROIS S AY0 R - W AA1 +SIROKY S IH1 - R AH0 - K IY0 +SIRON S AO1 - R AH0 N +SIROTA S IH0 - R OW1 - T AH0 +SIROWITZ S IH1 - R AH0 - W IH0 T S +SIRRI S IH1 - R IY0 +SIRRINE S IH0 - R IY1 - N IY0 +SIS S IH1 S +SISCO S IY1 - S K OW0 +SISCOE S IH1 - S K OW0 +SISEMORE S AY1 Z - M AO0 R +SISK S IH1 S K +SISKA S IY1 - S K AH0 +SISKEL S IH1 S - K AH0 L +SISKEL'S S IH1 S - K AH0 L Z +SISKIN S IH1 - S K IH0 N +SISKIND S IH1 - S K IH0 N D +SISKO S IH1 - S K OW0 +SISLER S IH1 - S AH0 - L ER0 +SISLER(2) S IH1 S - L ER0 +SISLEY S IH1 Z - L IY0 +SISNEROS S IH1 S - N ER0 - OW0 Z +SISNEY S IH1 Z - N IY0 +SISON S IH1 - S AH0 N +SISSEL S IH1 - S AH0 L +SISSIE S IH1 - S IY0 +SISSOM S IH1 - S AH0 M +SISSON S IH1 - S AH0 N +SISSY S IH1 - S IY0 +SISTARE S IY0 - S T AA1 - R IY0 +SISTEK S IH1 - S T IH0 K +SISTER S IH1 - S T ER0 +SISTER'S S IH1 - S T ER0 Z +SISTERHOOD S IH1 - S T ER0 - HH UH0 D +SISTERS S IH1 - S T ER0 Z +SISTI S IH1 - S T IY0 +SISTINE S IH0 - S T IY1 N +SISTINE(2) S IH1 - S T IY0 N +SISTO S IH1 - S T OW0 +SISTRUNK S IH1 - S T R AH0 NG K +SISULU S IH0 - S UW1 - L UW0 +SIT S IH1 T +SITAR S IH1 - T ER0 +SITCOM S IH1 T - K AA2 M +SITCOMS S IH1 T - K AA0 M Z +SITE S AY1 T +SITE'S S AY1 T S +SITED S AY1 - T IH0 D +SITEK S IH1 - T EH0 K +SITES S AY1 T S +SITHE S AY1 DH +SITING S AY1 - T IH0 NG +SITIVENI S IY2 - T IH0 - V IY1 - N IY0 +SITKA S IH1 T - K AH0 +SITKO S IH1 T - K OW0 +SITLER S AY1 - T AH0 L - ER0 +SITLER(2) S AY1 T - L ER0 +SITLER(3) S IH1 T - L ER0 +SITMAR S IH1 T - M AA2 R +SITO S IY1 - T OW0 +SITO'S S IY1 - T OW0 Z +SITRICK S IH1 - T R IH0 K +SITS S IH1 T S +SITTER S IH1 - T ER0 +SITTERLY S IH1 - T ER0 - L IY0 +SITTERS S IH1 - T ER0 Z +SITTIG S IH1 - T IH0 G +SITTIN' S IH1 - T AH0 N +SITTING S IH1 - T IH0 NG +SITTLER S IH1 T - L ER0 +SITTNER S IH1 T - N ER0 +SITTON S IH1 - T AH0 N +SITTS S IH1 T S +SITUATE S IH1 - CH UW0 - EY2 T +SITUATED S IH1 - CH UW0 - EY2 - T IH0 D +SITUATION S IH2 - CH UW0 - EY1 - SH AH0 N +SITUATION'S S IH2 - CH UW0 - EY1 - SH AH0 N Z +SITUATIONAL S IH2 - CH UW0 - EY1 - SH AH0 - N AH0 L +SITUATIONS S IH2 - CH UW0 - EY1 - SH AH0 N Z +SITUS S AY1 - T AH0 S +SITZ S IH1 T S +SITZE S IH1 T Z +SITZER S IH1 T - Z ER0 +SITZES S IH1 T - S IH0 Z +SITZMAN S IH1 T S - M AH0 N +SITZMANN S IH1 T S - M AH0 N +SIU S IY1 - UW0 +SIUDA S IY0 - UW1 - D AH0 +SIVAK S IH1 - V AH0 K +SIVER S AY1 - V ER0 +SIVERLING S IH1 - V ER0 - L IH0 NG +SIVERSON S IH1 - V ER0 - S AH0 N +SIVERTSEN S IH1 - V ER0 T - S AH0 N +SIVERTSON S IH1 - V ER0 T - S AH0 N +SIVILS S IH1 - V AH0 L Z +SIVLEY S IH1 V - L IY0 +SIVY S IH1 - V IY0 +SIWEK S IH1 - W IH0 K +SIX S IH1 K S +SIX'S S IH1 K - S IH0 Z +SIXED S IH1 K S T +SIXES S IH1 K - S IH0 Z +SIXFOLD S IH1 K S - F OW2 L D +SIXTEEN S IH0 K S - T IY1 N +SIXTEEN'S S IH2 K S - T IY1 N Z +SIXTEEN(2) S IH1 K S - T IY1 N +SIXTEENS S IH1 K S - T IY1 N Z +SIXTEENTH S IH0 K S - T IY1 N TH +SIXTEENTH(2) S IH1 K S - T IY1 N TH +SIXTEENTHS S IH1 K S - T IY1 N TH S +SIXTH S IH1 K S TH +SIXTHS S IH1 K S TH S +SIXTIES S IH1 K S - T IY0 Z +SIXTIETH S IH1 K S - T IY0 - IH0 TH +SIXTY S IH1 K S - T IY0 +SIXTY'S S IH1 K S - T IY0 Z +SIZABLE S AY1 - Z AH0 - B AH0 L +SIZE S AY1 Z +SIZEABLE S AY1 - Z AH0 - B AH0 L +SIZED S AY1 Z D +SIZELER S AY1 Z - L ER0 +SIZELOVE S AY1 Z - L AH2 V +SIZEMORE S AY1 Z - M AO0 R +SIZER S AY1 - Z ER0 +SIZES S AY1 - Z AH0 Z +SIZES(2) S AY1 - Z IH0 Z +SIZING S AY1 - Z IH0 NG +SIZZLE S IH1 - Z AH0 L +SIZZLED S IH1 - Z AH0 L D +SIZZLER S IH1 Z - L ER0 +SIZZLIN S IH1 Z - L IH0 N +SIZZLING S IH1 - Z AH0 L - IH0 NG +SIZZLING(2) S IH1 Z - L IH0 NG +SJOBERG SH OW1 - B ER0 G +SJOBLOM SH OW1 - B L AA0 M +SJODIN SH OW1 - D IH0 N +SJOGREN SH OW1 - G R AH0 N +SJOLANDER SH OW1 - L AE2 N - D ER0 +SJOQUIST SH OW1 - K W IH0 S T +SJOSTROM SH OW1 S - T R AH0 M +SKAAR S K AA1 R +SKADDEN S K AE1 - D IH0 N +SKAFF S K AE1 F +SKAGGS S K AE1 G Z +SKAINS S K EY1 N Z +SKALA S K AA1 - L AH0 +SKALICKY S K AH0 - L IH1 - K IY0 +SKALLA S K AE1 - L AH0 +SKALSKI S K AA1 L S - K IY0 +SKALSKY S K AA1 L S - K IY0 +SKANDIA S K AE1 N - D IY0 - ER0 +SKANDIA(2) S K AE1 N - D IY0 - AH0 +SKANDIA(3) S K AE1 N - D Y AH0 +SKANDINAVISKA S K AE2 N - D IH0 - N AH0 - V IH1 S - K AH0 +SKANSKA S K AE1 N - S K AH0 +SKARDA S K AA1 R - D AH0 +SKARE S K EH1 R +SKASE S K EY1 Z +SKATE S K EY1 T +SKATEBOARD S K EY1 T - B AO2 R D +SKATEBOARDING S K EY1 T - B AO2 R - D IH0 NG +SKATED S K EY1 - T IH0 D +SKATER S K EY1 - T ER0 +SKATERS S K EY1 - T ER0 Z +SKATES S K EY1 T S +SKATING S K EY1 - T IH0 NG +SKEAT S K IY1 T +SKEEL S K IY1 L +SKEELS S K IY1 L Z +SKEEN S K IY1 N +SKEENS S K IY1 N Z +SKEES S K IY1 Z +SKEET S K IY1 T +SKEETE S K IY1 T +SKEETER S K IY1 - T ER0 +SKEETERS S K IY1 - T ER0 Z +SKEETS S K IY1 T S +SKEFFINGTON S K EH1 - F IH0 NG - T AH0 N +SKEHAN S K EY1 - AH0 N +SKELETAL S K EH1 - L AH0 - T AH0 L +SKELETON S K EH1 - L AH0 - T AH0 N +SKELETONS S K EH1 - L AH0 - T AH0 N Z +SKELLENGER S K EH1 - L IH0 N - JH ER0 +SKELLEY S K EH1 - L IY0 +SKELLY S K EH1 - L IY0 +SKELTER S K EH1 L - T ER0 +SKELTON S K EH1 L - T AH0 N +SKENANDORE S K IH0 - N AE1 N - D ER0 +SKENDER S K EH1 N - D ER0 +SKENDERIAN S K EH2 N - D EH1 - R IY0 - AH0 N +SKENE S K IY1 N +SKEOCH S K IY1 - AA0 CH +SKEPTIC S K EH1 P - T IH0 K +SKEPTICAL S K EH1 P - T AH0 - K AH0 L +SKEPTICAL(2) S K EH1 P - T IH0 - K AH0 L +SKEPTICALLY S K EH1 P - T IH0 - K AH0 - L IY0 +SKEPTICALLY(2) S K EH1 P - T IH0 K - L IY0 +SKEPTICISM S K EH1 P - T IH0 - S IH2 - Z AH0 M +SKEPTICS S K EH1 P - T IH0 K S +SKERDAL S K EH1 R - D AA2 L +SKERRY S K EH1 - R IY0 +SKETCH S K EH1 CH +SKETCHBOOK S K EH1 CH - B UH2 K +SKETCHBOOKS S K EH1 CH - B UH2 K S +SKETCHED S K EH1 CH T +SKETCHES S K EH1 - CH AH0 Z +SKETCHES(2) S K EH1 - CH IH0 Z +SKETCHING S K EH1 - CH IH0 NG +SKETCHY S K EH1 - CH IY0 +SKEW S K Y UW1 +SKEWED S K Y UW1 D +SKEWER S K Y UW1 - ER0 +SKEWERED S K Y UW1 - ER0 D +SKEWERS S K Y UW1 - ER0 Z +SKEWES S K Y UW1 Z +SKEWING S K Y UW1 - IH0 NG +SKEWS S K Y UW1 Z +SKI S K IY1 +SKIBA S K AY1 - B AH0 +SKIBBE S K IH1 B +SKIBICKI S K IH0 - B IH1 - K IY0 +SKIBINSKI S K IH0 - B IH1 N - S K IY0 +SKIBO S K AY1 - B OW0 +SKIBO(2) S K IY1 - B OW0 +SKID S K IH1 D +SKIDDED S K IH1 - D AH0 D +SKIDDED(2) S K IH1 - D IH0 D +SKIDDING S K IH1 - D IH0 NG +SKIDGEL S K IH1 - JH AH0 L +SKIDMORE S K IH1 D - M AO0 R +SKIDS S K IH1 D Z +SKIED S K IY1 D +SKIER S K AY1 R +SKIER(2) S K IY1 - ER0 +SKIERS S K IY1 - ER0 Z +SKIES S K AY1 Z +SKIFF S K IH1 F +SKIFFINGTON S K IH1 - F IH0 NG - T AH0 N +SKIFFS S K IH1 F S +SKIING S K IY1 - IH0 NG +SKILES S K AY1 L Z +SKILL S K IH1 L +SKILLED S K IH1 L D +SKILLEN S K IH1 - L AH0 N +SKILLERN S K IH1 - L ER0 N +SKILLET S K IH1 - L AH0 T +SKILLFUL S K IH1 L - F AH0 L +SKILLFULLY S K IH1 L - F AH0 - L IY0 +SKILLIN S K IH1 - L IH0 N +SKILLING S K IH1 - L IH0 NG +SKILLINGS S K IH1 - L IH0 NG Z +SKILLMAN S K IH1 L - M AH0 N +SKILLS S K IH1 L Z +SKILTON S K IH1 L - T AH0 N +SKIM S K IH1 M +SKIMMED S K IH1 M D +SKIMMER S K IH1 - M ER0 +SKIMMERS S K IH1 - M ER0 Z +SKIMMING S K IH1 - M IH0 NG +SKIMP S K IH1 M P +SKIMPIER S K IH1 M - P IY0 - ER0 +SKIMPIEST S K IH1 M - P IY0 - AH0 S T +SKIMPING S K IH1 M - P IH0 NG +SKIMPY S K IH1 M - P IY0 +SKIN S K IH1 N +SKIN'S S K IH1 N Z +SKINHEAD S K IH1 N - HH EH2 D +SKINHEADS S K IH1 N - HH EH2 D Z +SKINKS S K IH1 NG K S +SKINLESS S K IH1 N - L AH0 S +SKINNED S K IH1 N D +SKINNER S K IH1 - N ER0 +SKINNER'S S K IH1 - N ER0 Z +SKINNIER S K IH1 - N IY0 - ER0 +SKINNIEST S K IH1 - N IY0 - AH0 S T +SKINNY S K IH1 - N IY0 +SKINS S K IH1 N Z +SKINS' S K IH1 N Z +SKIP S K IH1 P +SKIPJACK S K IH1 P - JH AE2 K +SKIPJACK'S S K IH1 P - JH AE2 K S +SKIPJACKS S K IH1 P - JH AE2 K S +SKIPP S K IH1 P +SKIPPA S K IH1 - P AH0 +SKIPPA'S S K IH1 - P AH0 Z +SKIPPED S K IH1 P T +SKIPPER S K IH1 - P ER0 +SKIPPER'S S K IH1 - P ER0 Z +SKIPPERS S K IH1 - P ER0 Z +SKIPPING S K IH1 - P IH0 NG +SKIPPY S K IH1 - P IY0 +SKIPS S K IH1 P S +SKIPTON S K IH1 P - T AH0 N +SKIPWITH S K IH1 P - W IH2 TH +SKIPWORTH S K IH1 P - W ER2 TH +SKIRDALL S K ER1 - D AA2 L +SKIRMISH S K ER1 - M IH0 SH +SKIRMISHES S K ER1 - M IH0 - SH IH0 Z +SKIRMISHING S K ER1 - M IH0 - SH IH0 NG +SKIRT S K ER1 T +SKIRTED S K ER1 - T IH0 D +SKIRTING S K ER1 - T IH0 NG +SKIRTS S K ER1 T S +SKIRVIN S K ER1 - V IH0 N +SKIS S K IY1 Z +SKIT S K IH1 T +SKITS S K IH1 T S +SKITTISH S K IH1 - T IH0 SH +SKITTISHNESS S K IH1 - T IH0 SH - N AH0 S +SKITTLE S K IH1 - T AH0 L +SKITTLES S K IH1 - T AH0 L Z +SKIVER S K AY1 - V ER0 +SKLAR S K L AA1 R +SKLENAR S K L EH1 - N ER0 +SKOAL S K OW1 L +SKOCZYLAS S K AH0 - CH IH1 - L AH0 Z +SKODA S K OW1 - D AH0 +SKOFF S K AO1 F +SKOG S K AA1 G +SKOGEN S K AA1 - G AH0 N +SKOGLUND S K AA1 G - L AH0 N D +SKOK S K AA1 K +SKOKIE S K OW1 - K IY0 +SKOLER S K OW1 - L ER0 +SKOLNICK S K OW1 L - N IH0 K +SKOLNIK S K OW1 L - N IH0 K +SKOLNIKS S K OW1 L - N IH0 K S +SKONIECZNY S K AH0 - N IY1 CH - N IY0 +SKOOG S K UW1 G +SKOP S K AA1 P +SKORA S K AO1 - R AH0 +SKORUPA S K ER0 - UW1 - P AH0 +SKORUPSKI S K ER0 - AH1 P - S K IY0 +SKOUSEN S K UW1 - S AH0 N +SKOV S K AA1 V +SKOW S K AW1 +SKOWHEGAN S K OW1 - HH IY2 - G AH0 N +SKOWRON S K AW1 - R AH0 N +SKOWRONEK S K AW0 - R OW1 - N EH0 K +SKOWRONSKI S K AW0 - R AA1 N S - K IY0 +SKRAMSTAD S K R AE1 M - S T AE0 D +SKROCH S K R AA1 K +SKROCKI S K R AA1 - K IY0 +SKRZYPEK S K ER0 - Z IH1 - P EH0 K +SKUFCA S K AH1 F - K AH0 +SKULK S K AH1 L K +SKULL S K AH1 L +SKULLS S K AH1 L Z +SKUNK S K AH1 NG K +SKUNKS S K AH1 NG K S +SKURA S K UH1 - R AH0 +SKURDAL S K ER1 - D AH0 L +SKURKA S K ER1 - K AH0 +SKUTT S K AH1 T +SKY S K AY1 +SKY'S S K AY1 Z +SKYBOX S K AY1 - B AA2 K S +SKYBOXES S K AY1 - B AA2 K - S IH0 Z +SKYCAP S K AY1 - K AE2 P +SKYDIVE S K AY1 - D AY0 V +SKYDIVING S K AY1 - D AY0 - V IH0 NG +SKYDOME S K AY1 - D OW2 M +SKYHAWK S K AY1 - HH AO2 K +SKYHIGH S K AY1 - HH AY2 +SKYLARK S K AY1 - L AA2 R K +SKYLAWN S K AY1 - L AO2 N +SKYLES S K AY1 L Z +SKYLIGHT S K AY1 - L AY2 T +SKYLIGHTS S K AY1 - L AY2 T S +SKYLINE S K AY1 - L AY2 N +SKYLITE S K AY1 - L AY2 T +SKYROCKET S K AY1 - R AA2 - K AH0 T +SKYROCKETED S K AY1 - R AA2 - K AH0 - T IH0 D +SKYROCKETING S K AY1 - R AA2 - K AH0 - T IH0 NG +SKYSCRAPER S K AY1 - S K R EY2 - P ER0 +SKYSCRAPERS S K AY1 - S K R EY2 - P ER0 Z +SKYTEL S K AY1 - T EH2 L +SKYWARD S K AY1 - W ER0 D +SKYWAVE S K AY1 - W EY2 V +SKYWAY S K AY1 - W EY2 +SKYWEST S K AY1 - W EH2 S T +SKYWRITER S K AY1 - R AY2 - T ER0 +SKYWRITERS S K AY1 - R AY2 - T ER0 Z +SKYWRITING S K AY1 - R AY2 - T IH0 NG +SLAB S L AE1 B +SLABAUGH S L AE1 - B AO0 +SLABS S L AE1 B Z +SLABY S L EY1 - B IY0 +SLACK S L AE1 K +SLACKED S L AE1 K T +SLACKEN S L AE1 - K AH0 N +SLACKENED S L AE1 - K AH0 N D +SLACKENING S L AE1 - K AH0 - N IH0 NG +SLACKENS S L AE1 - K AH0 N Z +SLACKER S L AE1 - K ER0 +SLACKERS S L AE1 - K ER0 Z +SLACKNESS S L AE1 K - N AH0 S +SLACKS S L AE1 K S +SLADE S L EY1 D +SLADEK S L AE1 - D IH0 K +SLADKY S L AE1 D - K IY0 +SLAG S L AE1 G +SLAGEL S L AE1 - G AH0 L +SLAGER S L EY1 - G ER0 +SLAGHT S L AE1 T +SLAGLE S L EY1 - G AH0 L +SLAGTER S L AE1 G - T ER0 +SLAIN S L EY1 N +SLAINE S L EY1 N +SLALOM S L AA1 - L AH0 M +SLAM S L AE1 M +SLAMA S L AA1 - M AH0 +SLAMMED S L AE1 M D +SLAMMER S L AE1 - M ER0 +SLAMMING S L AE1 - M IH0 NG +SLAMS S L AE1 M Z +SLANDER S L AE1 N - D ER0 +SLANDERED S L AE1 N - D ER0 D +SLANDEROUS S L AE1 N - D ER0 - AH0 S +SLANE S L EY1 N +SLANEY S L EY1 - N IY0 +SLANG S L AE1 NG +SLANINA S L AA0 - N IY1 - N AH0 +SLANKARD S L AE1 NG - K ER0 D +SLANT S L AE1 N T +SLANTED S L AE1 N - T AH0 D +SLANTED(2) S L AE1 N - T IH0 D +SLANTED(3) S L AE1 - N AH0 D +SLANTED(4) S L AE1 - N IH0 D +SLANTING S L AE1 N - T IH0 NG +SLAP S L AE1 P +SLAPDASH S L AE1 P - D AE2 SH +SLAPE S L EY1 P +SLAPPED S L AE1 P T +SLAPPEY S L AE1 - P IY0 +SLAPPING S L AE1 - P IH0 NG +SLAPS S L AE1 P S +SLAPSTICK S L AE1 P - S T IH2 K +SLASH S L AE1 SH +SLASHED S L AE1 SH T +SLASHER S L AE1 - SH ER0 +SLASHES S L AE1 - SH IH0 Z +SLASHING S L AE1 - SH IH0 NG +SLAT S L AE1 T +SLATE S L EY1 T +SLATED S L EY1 - T IH0 D +SLATEN S L EY1 - T AH0 N +SLATER S L EY1 - T ER0 +SLATES S L EY1 T S +SLATKIN S L AE1 T - K IH0 N +SLATON S L AE1 - T AH0 N +SLATS S L AE1 T S +SLATTEN S L AE1 - T AH0 N +SLATTER S L AE1 - T ER0 +SLATTERY S L AE1 - T ER0 - IY0 +SLATTON S L AE1 - T AH0 N +SLAUGH S L AO1 +SLAUGHTER S L AO1 - T ER0 +SLAUGHTERED S L AO1 - T ER0 D +SLAUGHTERHOUSE S L AO1 - T ER0 - HH AW2 S +SLAUGHTERHOUSES S L AO1 - T ER0 - HH AW2 - S IH0 Z +SLAUGHTERING S L AO1 - T ER0 - IH0 NG +SLAUGHTERINGS S L AO1 - T ER0 - IH0 NG Z +SLAUGHTERS S L AO1 - T ER0 Z +SLAUSON S L AW1 - Z AH0 N +SLAV S L AA1 V +SLAVE S L EY1 V +SLAVEN S L EY1 - V AH0 N +SLAVENS S L EY1 - V AH0 N Z +SLAVERY S L EY1 - V ER0 - IY0 +SLAVES S L EY1 V Z +SLAVIC S L AA1 - V IH0 K +SLAVICK S L AE1 - V IH0 K +SLAVIK S L AA1 - V IH0 K +SLAVIN S L AE1 - V IH0 N +SLAVINSKI S L AH0 - V IH1 N - S K IY0 +SLAVISH S L EY1 - V IH0 SH +SLAVISHLY S L AE1 - V IH0 SH - L IY0 +SLAVONIA S L AH0 - V OW1 - N IY0 - AH0 +SLAVONIA(2) S L AH0 - V OW1 - N Y AH0 +SLAVS S L AA1 V Z +SLAW S L AO1 +SLAWINSKI S L AA0 - V IH1 N - S K IY0 +SLAWSON S L AO1 - S AH0 N +SLAY S L EY1 +SLAYBACK S L EY1 - B AE2 K +SLAYBAUGH S L EY1 - B AO2 +SLAYDEN S L EY1 - D AH0 N +SLAYDON S L EY1 - D AH0 N +SLAYER S L EY1 - ER0 +SLAYING S L EY1 - IH0 NG +SLAYINGS S L EY1 - IH0 NG Z +SLAYMAKER S L EY1 - M EY2 - K ER0 +SLAYTER S L EY1 - T ER0 +SLAYTON S L EY1 - T AH0 N +SLEASMAN S L IY1 Z - M AH0 N +SLEATOR S L EY1 - T ER0 +SLEAZE S L IY1 Z +SLEAZY S L IY1 - Z IY0 +SLECHTA S L EH1 CH - T AH0 +SLED S L EH1 D +SLEDD S L EH1 D +SLEDDING S L EH1 - D IH0 NG +SLEDGE S L EH1 JH +SLEDGEHAMMER S L EH1 JH - HH AE2 - M ER0 +SLEDS S L EH1 D Z +SLEDZ S L EH1 D Z +SLEE S L IY1 +SLEEK S L IY1 K +SLEEKER S L IY1 - K ER0 +SLEEKEST S L IY1 - K AH0 S T +SLEEKLY S L IY1 K - L IY0 +SLEEMAN S L IY1 - M AH0 N +SLEEP S L IY1 P +SLEEPER S L IY1 - P ER0 +SLEEPERS S L IY1 - P ER0 Z +SLEEPILY S L IY1 - P AH0 - L IY0 +SLEEPINESS S L IY1 - P IY0 - N AH0 S +SLEEPING S L IY1 - P IH0 NG +SLEEPLESS S L IY1 P - L AH0 S +SLEEPS S L IY1 P S +SLEEPWALK S L IY1 P - W AO2 K +SLEEPWALKER S L IY1 P - W AO2 - K ER0 +SLEEPWALKERS S L IY1 P - W AO2 - K ER0 Z +SLEEPWALKING S L IY1 P - W AO2 - K IH0 NG +SLEEPWEAR S L IY1 P - W EH2 R +SLEEPY S L IY1 - P IY0 +SLEET S L IY1 T +SLEETER S L IY1 - T ER0 +SLEETH S L IY1 TH +SLEEVE S L IY1 V +SLEEVED S L IY1 V D +SLEEVELESS S L IY1 V - L IH0 S +SLEEVES S L IY1 V Z +SLEIGH S L EY1 +SLEIGHT S L AY1 T +SLEIPNER S L AY1 P - N ER0 +SLEMMER S L EH1 - M ER0 +SLEMP S L EH1 M P +SLENDER S L EH1 N - D ER0 +SLENTZ S L EH1 N T S +SLEPIAN S L IY1 - P IY0 - AH0 N +SLEPIAN(2) S L IY1 - P Y AH0 N +SLEPT S L EH1 P T +SLESSENGER S L EH1 - S EH0 N - G ER0 +SLETTEN S L EH1 - T AH0 N +SLEUTH S L UW1 TH +SLEUTHING S L UW1 - TH IH0 NG +SLEUTHS S L UW1 TH S +SLEVEN S L IY1 - V AH0 N +SLEVIN S L EH1 - V IH0 N +SLEW S L UW1 +SLEZAK S L EH1 - Z AH0 K +SLICE S L AY1 S +SLICED S L AY1 S T +SLICER S L AY1 - S ER0 +SLICES S L AY1 - S AH0 Z +SLICES(2) S L AY1 - S IH0 Z +SLICING S L AY1 - S IH0 NG +SLICK S L IH1 K +SLICKED S L IH1 K T +SLICKER S L IH1 - K ER0 +SLICKERS S L IH1 - K ER0 Z +SLICKEST S L IH1 - K AH0 S T +SLICKLY S L IH1 K - L IY0 +SLICKS S L IH1 K S +SLID S L IH1 D +SLIDE S L AY1 D +SLIDER S L AY1 - D ER0 +SLIDES S L AY1 D Z +SLIDING S L AY1 - D IH0 NG +SLIFE S L AY1 F +SLIFER S L AY1 - F ER0 +SLIFKA S L IH1 F - K AH0 +SLIFKO S L IH1 F - K OW0 +SLIGAR S L IH1 - G ER0 +SLIGER S L AY1 - G ER0 +SLIGH S L AY1 +SLIGHT S L AY1 T +SLIGHTED S L AY1 - T IH0 D +SLIGHTEST S L AY1 - T AH0 S T +SLIGHTING S L AY1 - T IH0 NG +SLIGHTLY S L AY1 T - L IY0 +SLIGHTS S L AY1 T S +SLIKER S L AY1 - K ER0 +SLIM S L IH1 M +SLIMAK S L IH1 - M AH0 K +SLIME S L AY1 M +SLIMMED S L IH1 M D +SLIMMER S L IH1 - M ER0 +SLIMMEST S L IH1 - M AH0 S T +SLIMMING S L IH1 - M IH0 NG +SLIMP S L IH1 M P +SLIMS S L IH1 M Z +SLIMY S L AY1 - M IY0 +SLINEY S L IH1 - N IY0 +SLING S L IH1 NG +SLINGER S L IH1 - NG ER0 +SLINGERLAND S L IH1 NG - G ER0 - L AH0 N D +SLINGING S L IH1 - NG IH0 NG +SLINGS S L IH1 NG Z +SLINGSHOT S L IH1 NG - SH AA2 T +SLINGSHOTS S L IH1 NG - SH AA2 T S +SLINKARD S L IH1 NG - K ER0 D +SLINKER S L IH1 NG - K ER0 +SLINKY S L IH1 NG - K IY0 +SLIP S L IH1 P +SLIP-ON S L IH1 - P AA2 N +SLIP-ONS S L IH1 - P AA2 N Z +SLIPPAGE S L IH1 - P IH0 JH +SLIPPED S L IH1 P T +SLIPPER S L IH1 - P ER0 +SLIPPERS S L IH1 - P ER0 Z +SLIPPERY S L IH1 - P ER0 - IY0 +SLIPPERY(2) S L IH1 - P R IY0 +SLIPPING S L IH1 - P IH0 NG +SLIPS S L IH1 P S +SLIPSHOD S L IH1 P - SH AA2 D +SLIT S L IH1 T +SLITER S L IY1 - T ER0 +SLITHER S L IH1 - DH ER0 +SLITHERING S L IH1 - DH ER0 - IH0 NG +SLITS S L IH1 T S +SLITTING S L IH1 - T IH0 NG +SLIVA S L IY1 - V AH0 +SLIVER S L IH1 - V ER0 +SLIVERS S L IH1 - V ER0 Z +SLIVINSKI S L IH0 - V IH1 N - S K IY0 +SLIVKA S L IH1 V - K AH0 +SLIVOVITZ S L IH1 - V AH0 - V IH0 T S +SLIWA S L AY1 - V AH0 +SLIWINSKI S L IH0 - V IH1 N - S K IY0 +SLOAN S L OW1 N +SLOAN'S S L OW1 N Z +SLOANE S L OW1 N +SLOAT S L OW1 T +SLOATE S L OW1 T +SLOB S L AA1 B +SLOBBER S L AA1 - B ER0 +SLOBBERING S L AA1 - B ER0 - IH0 NG +SLOBODA S L AH0 - B OW1 - D AH0 +SLOBODAN S L OW1 - B OW0 - D AA2 N +SLOBOGIN S L AH0 - B OW1 - G AH0 N +SLOBOGIN'S S L AH0 - B OW1 - G AH0 N Z +SLOBS S L AA1 B Z +SLOCAN S L OW1 - K AH0 N +SLOCAN'S S L OW1 - K AH0 N Z +SLOCOMB S L OW1 - K AH0 M +SLOCUM S L OW1 - K AH0 M +SLOCUMB S L OW1 - K AH0 M +SLOE S L OW1 +SLOG S L AA1 G +SLOGAN S L OW1 - G AH0 N +SLOGANS S L OW1 - G AH0 N Z +SLOGGED S L AA1 G D +SLOGGING S L AA1 - G IH0 NG +SLOKUM S L OW1 - K AH0 M +SLOMA S L OW1 - M AH0 +SLOMAN S L OW1 - M AH0 N +SLOMINSKI S L AH0 - M IH1 N - S K IY0 +SLOMSKI S L AA1 M - S K IY0 +SLONAKER S L AA1 - N AH0 - K ER0 +SLONE S L OW1 N +SLONIKER S L AA1 - N IH0 - K ER0 +SLOOP S L UW1 P +SLOP S L AA1 P +SLOPE S L OW1 P +SLOPER S L OW1 - P ER0 +SLOPES S L OW1 P S +SLOPING S L OW1 - P IH0 NG +SLOPPIER S L AA1 - P IY0 - ER0 +SLOPPIEST S L AA1 - P IY0 - AH0 S T +SLOPPILY S L AA1 - P AH0 - L IY0 +SLOPPINESS S L AA1 - P IY0 - N AH0 S +SLOPPY S L AA1 - P IY0 +SLORC S L AO1 R K +SLOSH S L AA1 SH +SLOSHING S L AA1 - SH IH0 NG +SLOSS S L AO1 S +SLOT S L AA1 T +SLOTA S L OW1 - T AH0 +SLOTH S L OW1 TH +SLOTHOWER S L AA1 - TH OW0 - ER0 +SLOTNICK S L AA1 T - N IH0 K +SLOTS S L AA1 T S +SLOTT S L AA1 T +SLOTTED S L AA1 - T IH0 D +SLOTTING S L AA1 - T IH0 NG +SLOUCH S L AW1 CH +SLOUCHES S L AW1 - CH IH0 Z +SLOUCHING S L AW1 - CH IH0 NG +SLOUGH S L AH1 F +SLOUGHS S L AH1 F S +SLOVACEK S L AA1 - V AH0 - CH EH0 K +SLOVAK S L OW1 - V AE0 K +SLOVAK(2) S L OW1 - V AA0 K +SLOVAKIA S L OW2 - V AA1 - K IY0 - AH0 +SLOVAKIA'S S L OW0 - V AA1 - K IY0 - AH0 Z +SLOVAKIA'S(2) S L OW0 - V AE1 - K IY0 - AH0 Z +SLOVAKS S L OW1 - V AE0 K S +SLOVAKS(2) S L OW1 - V AA0 K S +SLOVENE S L OW2 - V IY1 N +SLOVENES S L OW2 - V IY1 N Z +SLOVENIA S L OW2 - V IY1 - N IY0 - AH0 +SLOVENIAN S L OW2 - V IY1 - N IY0 - AH0 N +SLOVENLINESS S L AH1 - V AH0 N - L IY0 - N AH0 S +SLOVENLY S L AH1 - V AH0 N - L IY0 +SLOVER S L OW1 - V ER0 +SLOVES S L OW1 V Z +SLOVO S L OW1 - V OW0 +SLOVONIA S L AH0 - V OW1 - N IY0 - AH0 +SLOVONIA(2) S L AH0 - V OW1 - N Y AH0 +SLOW S L OW1 +SLOWDOWN S L OW1 - D AW2 N +SLOWDOWNS S L OW1 - D AW2 N Z +SLOWED S L OW1 D +SLOWER S L OW1 - ER0 +SLOWEST S L OW1 - AH0 S T +SLOWEY S L OW1 - IY0 +SLOWIK S L OW1 - IH0 K +SLOWING S L OW1 - IH0 NG +SLOWINSKI S L OW0 - IH1 N - S K IY0 +SLOWLY S L OW1 - L IY0 +SLOWNESS S L OW1 - N AH0 S +SLOWPOKE S L OW1 - P OW2 K +SLOWS S L OW1 Z +SLUDER S L UW1 - D ER0 +SLUDGE S L AH1 JH +SLUDGY S L AH1 - JH IY0 +SLUG S L AH1 G +SLUGA S L UW1 - G AH0 +SLUGFEST S L AH1 G - F EH2 S T +SLUGGED S L AH1 G D +SLUGGER S L AH1 - G ER0 +SLUGGERS S L AH1 - G ER0 Z +SLUGGING S L AH1 - G IH0 NG +SLUGGISH S L AH1 - G IH0 SH +SLUGGISHLY S L AH1 - G IH0 SH - L IY0 +SLUGGISHNESS S L AH1 - G IH0 SH - N AH0 S +SLUGS S L AH1 G Z +SLUICE S L UW1 S +SLUICING S L UW1 - S IH0 NG +SLUITER S L UW1 - T ER0 +SLUKA S L UW1 - K AH0 +SLUM S L AH1 M +SLUMBER S L AH1 M - B ER0 +SLUMBERING S L AH1 M - B ER0 - IH0 NG +SLUMP S L AH1 M P +SLUMPED S L AH1 M P T +SLUMPING S L AH1 M - P IH0 NG +SLUMPS S L AH1 M P S +SLUMS S L AH1 M Z +SLUNG S L AH1 NG +SLUR S L ER1 +SLURP S L ER1 P +SLURRED S L ER1 D +SLURRING S L ER1 - IH0 NG +SLURRY S L ER1 - IY0 +SLURS S L ER1 Z +SLUSH S L AH1 SH +SLUSHER S L AH1 - SH ER0 +SLUSS S L AH1 S +SLUSSER S L AH1 - S ER0 +SLUT S L AH1 T +SLUTSKY S L AH1 T - S K IY0 +SLUTZ S L AH1 T S +SLUTZKY S L AH1 T - S K IY0 +SLUYTER S L AY1 - T ER0 +SLY S L AY1 +SLYE S L AY1 +SLYLY S L AY1 - L IY0 +SLYNESS S L AY1 - N AH0 S +SLYTER S L AY1 - T ER0 +SMABY S M EY1 - B IY0 +SMACK S M AE1 K +SMACKED S M AE1 K T +SMACKING S M AE1 - K IH0 NG +SMACKS S M AE1 K S +SMAIL S M EY1 L +SMALDONE S M AE1 L - D AH0 N +SMALE S M EY1 L +SMALL S M AO1 L +SMALLCAP S M AO1 L - K AE2 P +SMALLEN S M AO1 - L AH0 N +SMALLER S M AO1 - L ER0 +SMALLEST S M AO1 - L AH0 S T +SMALLEY S M AA1 - L IY0 +SMALLING S M AO1 - L IH0 NG +SMALLISH S M AO1 - L IH0 SH +SMALLMAN S M AO1 L - M AH0 N +SMALLNESS S M AO1 L - N AH0 S +SMALLPOX S M AO1 L - P AA2 K S +SMALLRIDGE S M AO1 L - R IH2 JH +SMALLS S M AO1 L Z +SMALLTALK S M AO1 L - T AO2 K +SMALLTOWN S M AO1 L - T AW2 N +SMALLWOOD S M AO1 L - W UH2 D +SMALTZ S M AE1 L T S +SMARMY S M AA1 R - M IY0 +SMARR S M AE1 R +SMART S M AA1 R T +SMARTCARD S M AA1 R T - K AA2 R D +SMARTER S M AA1 R - T ER0 +SMARTEST S M AA1 R - T AH0 S T +SMARTING S M AA1 R - T IH0 NG +SMARTLY S M AA1 R T - L IY0 +SMARTMONEY S M AA1 R T - M AH2 - N IY0 +SMARTS S M AA1 R T S +SMARTT S M AA1 R T +SMASH S M AE1 SH +SMASHED S M AE1 SH T +SMASHER S M AE1 - SH ER0 +SMASHES S M AE1 - SH IH0 Z +SMASHING S M AE1 - SH IH0 NG +SMATHER S M AE1 - DH ER0 +SMATHERS S M AE1 - DH ER0 Z +SMATTER S M AE1 - T ER0 +SMATTERING S M AE1 - T ER0 - IH0 NG +SMAY S M EY1 +SMEAD S M IY1 D +SMEAL S M IY1 L +SMEAR S M IH1 R +SMEARED S M IH1 R D +SMEARING S M IH1 - R IH0 NG +SMEARS S M IH1 R Z +SMEBY S M IY1 - B IY0 +SMEDBERG S M EH1 D - B ER0 G +SMEDLEY S M EH1 D - L IY0 +SMEE S M IY1 +SMEETING S M IY1 - T IH0 NG +SMEJKAL S M EH1 JH - K AH0 L +SMELCER S M EH1 L - S ER0 +SMELL S M EH1 L +SMELLED S M EH1 L D +SMELLEY S M EH1 - L IY0 +SMELLING S M EH1 - L IH0 NG +SMELLS S M EH1 L Z +SMELLY S M EH1 - L IY0 +SMELSER S M EH1 L - S ER0 +SMELT S M EH1 L T +SMELTER S M EH1 L - T ER0 +SMELTER'S S M EH1 L - T ER0 Z +SMELTERS S M EH1 L - T ER0 Z +SMELTING S M EH1 L - T IH0 NG +SMELTZ S M EH1 L T S +SMELTZER S M EH1 L T - Z ER0 +SMESTAD S M EH1 - S T AH0 D +SMET S M EH1 T +SMETANA S M EH1 - T AH0 - N AH0 +SMETHERS S M EH1 - DH ER0 Z +SMETHURST S M EH1 - TH ER0 S T +SMETZER S M EH1 T - Z ER0 +SMICK S M IH1 K +SMID S M IH1 D +SMIDDY S M IH1 - D IY0 +SMIDGEN S M IH1 - JH AH0 N +SMIDT S M IH1 D T +SMIGEL S M IH1 - JH AH0 L +SMIGELSKI S M IH0 - G EH1 L S - K IY0 +SMIGIEL S M IH1 - JH IY0 L +SMIGIELSKI S M IH0 - G IY1 L S - K IY0 +SMILE S M AY1 L +SMILED S M AY1 L D +SMILES S M AY1 L Z +SMILEY S M AY1 - L IY0 +SMILGIS S M IH1 L - G IH0 Z +SMILGIS(2) S M IH1 L - JH IH0 Z +SMILIE S M IH1 - L IY0 +SMILING S M AY1 - L IH0 NG +SMILINGLY S M AY1 - L IH0 NG - L IY0 +SMILLIE S M IH1 - L IY0 +SMILOW S M IH1 - L OW0 +SMINK S M IH1 NG K +SMIRK S M ER1 K +SMIRKING S M ER1 - K IH0 NG +SMIRKS S M ER1 K S +SMIRNOFF S M ER1 - N AO0 F +SMIRNOV S M ER1 - N AA0 F +SMIRNOVA S M ER2 - N OW1 - V AH0 +SMISEK S M IH1 - S EH0 K +SMIT S M IH1 T +SMITH S M IH1 TH +SMITH'S S M IH1 TH S +SMITHBURG S M IH1 TH - B ER0 G +SMITHEE S M IH1 - TH IY1 +SMITHER S M IH1 - DH ER0 +SMITHEREEN S M IH2 - DH ER0 - IY1 N +SMITHEREENS S M IH2 - DH ER0 - IY1 N Z +SMITHERMAN S M IH1 - DH ER0 - M AH0 N +SMITHERS S M IH1 - DH ER0 Z +SMITHEY S M IH1 - TH IY0 +SMITHFIELD S M IH1 TH - F IY0 L D +SMITHHART S M IH1 TH - HH AA2 R T +SMITHKLINE S M IH1 TH - K L AY2 N +SMITHKLINE'S S M IH1 TH - K L AY2 N Z +SMITHS S M IH1 TH S +SMITHSON S M IH1 TH - S AH0 N +SMITHSON'S S M IH1 TH - S AH0 N Z +SMITHSONIAN S M IH0 TH - S OW1 - N IY0 - AH0 N +SMITHSONIAN'S S M IH2 TH - S OW1 - N IY0 - AH0 N Z +SMITHSONIAN'S(2) S M IH2 S - OW1 - N IY0 - AH0 N Z +SMITHSONIAN(2) S M IH0 S - OW1 - N IY0 - AH0 N +SMITHTOWN S M IH1 TH - T AW2 N +SMITHWICK S M IH1 TH - W IH2 K +SMITLEY S M IH1 T - L IY0 +SMITS S M IH1 T S +SMITTEN S M IH1 - T AH0 N +SMITTLE S M IH1 - T AH0 L +SMITTY S M IH1 - T IY0 +SMOAK S M OW1 K +SMOCK S M AA1 K +SMOG S M AA1 G +SMOGGIEST S M AA1 - G IY0 - AH0 S T +SMOGGY S M AO1 - G IY0 +SMOKE S M OW1 K +SMOKED S M OW1 K T +SMOKEJUMPER S M OW1 K - JH AH2 M - P ER0 +SMOKEJUMPERS S M OW1 K - JH AH2 M - P ER0 Z +SMOKELESS S M OW1 K - L AH0 S +SMOKER S M OW1 - K ER0 +SMOKER'S S M OW1 - K ER0 Z +SMOKERS S M OW1 - K ER0 Z +SMOKERS' S M OW1 - K ER0 Z +SMOKES S M OW1 K S +SMOKESCREEN S M OW1 K - S K R IY2 N +SMOKESTACK S M OW1 K - S T AE2 K +SMOKESTACKS S M OW1 K - S T AE2 K S +SMOKEY S M OW1 - K IY0 +SMOKING S M OW1 - K IH0 NG +SMOKING'S S M OW1 - K IH0 NG Z +SMOKY S M OW1 - K IY0 +SMOLA S M OW1 - L AH0 +SMOLAK S M OW1 - L AH0 K +SMOLDER S M OW1 L - D ER0 +SMOLDERING S M OW1 L - D ER0 - IH0 NG +SMOLEN S M AA1 - L AH0 N +SMOLENSK S M OW0 - L EH1 N S K +SMOLENSKI S M AH0 - L EH1 N - S K IY0 +SMOLEY S M OW1 - L IY0 +SMOLIK S M OW1 - L IH0 K +SMOLIN S M OW1 - L IH0 N +SMOLINSKI S M AH0 - L IH1 N - S K IY0 +SMOLINSKY S M AH0 - L IH1 N - S K IY0 +SMOLKA S M OW1 L - K AH0 +SMOOT S M UW1 T +SMOOTH S M UW1 DH +SMOOTHED S M UW1 DH D +SMOOTHEN S M UW1 - DH IH0 N +SMOOTHENS S M UW1 - DH IH0 N Z +SMOOTHER S M UW1 - DH ER0 +SMOOTHEST S M UW1 - DH AH0 S T +SMOOTHING S M UW1 - DH IH0 NG +SMOOTHLY S M UW1 DH - L IY0 +SMOOTHNESS S M UW1 DH - N AH0 S +SMOOTHS S M UW1 DH Z +SMOOTS S M UW1 T S +SMORGASBORD S M AO1 R - G AH0 S - B AO2 R D +SMOTHER S M AH1 - DH ER0 +SMOTHERED S M AH1 - DH ER0 D +SMOTHERING S M AH1 - DH ER0 - IH0 NG +SMOTHERMAN S M AH1 - DH ER0 - M AH0 N +SMOTHERMON S M AA1 - TH ER0 - M OW0 N +SMOTHERS S M AH1 - DH ER0 Z +SMOTRICH S M AA1 - T R IH0 K +SMOUSE S M AW1 S +SMOYER S M OY1 - ER0 +SMREKAR S M R EH1 - K ER0 +SMREKAR(2) S M ER1 - IH0 - K ER0 +SMUCK S M AH1 K +SMUCKER S M AH1 - K ER0 +SMUDGE S M AH1 JH +SMUDGED S M AH1 JH D +SMUG S M AH1 G +SMUGGLE S M AH1 - G AH0 L +SMUGGLED S M AH1 - G AH0 L D +SMUGGLER S M AH1 G - L ER0 +SMUGGLER'S S M AH1 G - L ER0 Z +SMUGGLER(2) S M AH1 - G AH0 - L ER0 +SMUGGLERS S M AH1 G - L ER0 Z +SMUGGLERS' S M AH1 G - L ER0 Z +SMUGGLERS'(2) S M AH1 - G AH0 - L ER0 Z +SMUGGLERS(2) S M AH1 - G AH0 - L ER0 Z +SMUGGLING S M AH1 - G L IH0 NG +SMUGGLING(2) S M AH1 - G AH0 L - IH0 NG +SMUGLY S M AH1 G - L IY0 +SMUGNESS S M AH1 G - N AH0 S +SMULL S M AH1 L +SMULLEN S M AH1 - L AH0 N +SMURF S M ER1 F +SMURFIT S M ER1 - F IH0 T +SMURFS S M ER1 F S +SMUT S M AH1 T +SMYERS S M AY1 - ER0 Z +SMYLIE S M IH1 - L IY0 +SMYLY S M IH1 - L IY0 +SMYRE S M AY1 R +SMYRNA S M ER1 - N AH0 +SMYSER S M AY1 - S ER0 +SMYTH S M AY1 TH +SMYTH(2) S M IH1 TH +SMYTHE S M AY1 DH +SNACK S N AE1 K +SNACKS S N AE1 K S +SNACKWELL S N AE1 - K W EH2 L +SNACKWELL'S S N AE1 - K W EH2 L Z +SNACKWELLS S N AE1 - K W EH2 L Z +SNADER S N EY1 - D ER0 +SNAFU S N AE1 - F UW0 +SNAFUS S N AE1 - F AH0 S +SNAG S N AE1 G +SNAGGED S N AE1 G D +SNAGGER S N AE1 - G ER0 +SNAGGERS S N AE1 - G ER0 Z +SNAGGING S N AE1 - G IH0 NG +SNAGS S N AE1 G Z +SNAIL S N EY1 L +SNAIL'S S N EY1 L Z +SNAILS S N EY1 L Z +SNAKE S N EY1 K +SNAKE'S S N EY1 K S +SNAKEBITE S N EY1 K - B AY2 T +SNAKEBITES S N EY1 K - B AY2 T S +SNAKELIKE S N EY1 - K L AY2 K +SNAKES S N EY1 K S +SNAKING S N EY1 - K IH0 NG +SNAP S N AE1 P +SNAPDRAGON S N AE1 P - D R AE2 - G AH0 N +SNAPDRAGONS S N AE1 P - D R AE2 - G AH0 N Z +SNAPE S N EY1 P +SNAPP S N AE1 P +SNAPPED S N AE1 P T +SNAPPER S N AE1 - P ER0 +SNAPPING S N AE1 - P IH0 NG +SNAPPLE S N AE1 - P AH0 L +SNAPPLE'S S N AE1 - P AH0 L Z +SNAPPLES S N AE1 - P AH0 L Z +SNAPPY S N AE1 - P IY0 +SNAPS S N AE1 P S +SNAPSHOT S N AE1 P - SH AA2 T +SNAPSHOTS S N AE1 P - SH AA2 T S +SNARE S N EH1 R +SNARED S N EH1 R D +SNARES S N EH1 R Z +SNARING S N EH1 - R IH0 NG +SNARL S N AA1 R L +SNARLED S N AA1 - R AH0 L D +SNARLING S N AA1 R - L IH0 NG +SNARLS S N AA1 R L Z +SNARR S N AE1 R +SNARSKI S N AA1 R S - K IY0 +SNATCH S N AE1 CH +SNATCHED S N AE1 CH T +SNATCHER S N AE1 - CH ER0 +SNATCHERS S N AE1 - CH ER0 Z +SNATCHES S N AE1 - CH IH0 Z +SNATCHING S N AE1 - CH IH0 NG +SNAVELY S N EY1 V - L IY0 +SNAY S N EY1 +SNAZZIER S N AE1 - Z IY0 - ER0 +SNAZZY S N AE1 - Z IY0 +SNEAD S N IY1 D +SNEAK S N IY1 K +SNEAKED S N IY1 K T +SNEAKER S N IY1 - K ER0 +SNEAKERS S N IY1 - K ER0 Z +SNEAKING S N IY1 - K IH0 NG +SNEAKS S N IY1 K S +SNEAKY S N IY1 - K IY0 +SNEARY S N IH1 - R IY0 +SNEATH S N EH1 TH +SNECMA S N EH1 K - M AA0 +SNEDAKER S N EH1 - D AH0 - K ER0 +SNEDDEN S N EH1 - D AH0 N +SNEDDON S N EH1 - D AH0 N +SNEDEGAR S N EH1 - D IH0 - G ER0 +SNEDEKER S N EH1 - D IH0 - K ER0 +SNEE S N IY1 +SNEED S N IY1 D +SNEER S N IH1 R +SNEERED S N IH1 R D +SNEERING S N IH1 - R IH0 NG +SNEERINGER S N IH1 - R IH0 N - JH ER0 +SNEERS S N IH1 R Z +SNEEZE S N IY1 Z +SNEEZED S N IY1 Z D +SNEEZES S N IY1 - Z IH0 Z +SNEEZING S N IY1 - Z IH0 NG +SNEH S N EH1 +SNEIDER S N AY1 - D ER0 +SNELGROVE S N EH1 L - G R OW2 V +SNELL S N EH1 L +SNELLEN S N EH1 - L AH0 N +SNELLENBERGER S N EH1 - L AH0 N - B ER0 - G ER0 +SNELLER S N EH1 - L ER0 +SNELLGROVE S N EH1 L - G R OW2 V +SNELLING S N EH1 - L IH0 NG +SNELLINGS S N EH1 - L IH0 NG Z +SNELSON S N EH1 L - S AH0 N +SNETHEN S N EH1 - TH AH0 N +SNIA S N IY1 - AH0 +SNICKER S N IH1 - K ER0 +SNICKERED S N IH1 - K ER0 D +SNICKERING S N IH1 - K ER0 - IH0 NG +SNICKERS S N IH1 - K ER0 Z +SNIDE S N AY1 D +SNIDER S N AY1 - D ER0 +SNIDOW S N IH1 - D OW0 +SNIEGOWSKI S N IY0 - G AO1 F S - K IY0 +SNIFF S N IH1 F +SNIFFED S N IH1 F T +SNIFFEN S N IH1 - F AH0 N +SNIFFER S N IH1 - F ER0 +SNIFFING S N IH1 - F IH0 NG +SNIFFS S N IH1 F S +SNIFFY S N IH1 - F IY0 +SNIP S N IH1 P +SNIPE S N AY1 P +SNIPED S N AY1 P T +SNIPER S N AY1 - P ER0 +SNIPER'S S N AY1 - P ER0 Z +SNIPERS S N AY1 - P ER0 Z +SNIPERS' S N AY1 - P ER0 Z +SNIPES S N AY1 P S +SNIPING S N AY1 - P IH0 NG +SNIPPET S N IH1 - P AH0 T +SNIPPETS S N IH1 - P AH0 T S +SNIPS S N IH1 P S +SNITCH S N IH1 CH +SNITCHING S N IH1 - CH IH0 NG +SNITKER S N IH1 T - K ER0 +SNITZER S N IH1 T - Z ER0 +SNIVELY S N AY1 V - L IY0 +SNOB S N AA1 B +SNOBBERY S N AA1 - B ER0 - IY0 +SNOBBISH S N AA1 - B IH0 SH +SNOBBY S N AA1 - B IY0 +SNOBS S N AA1 B Z +SNODDERLY S N AA1 - D ER0 - L IY0 +SNODDY S N AA1 - D IY0 +SNODGRASS S N AA1 D - G R AE2 S +SNOHOMISH S N AA1 - HH AH0 - M IH0 SH +SNOKE S N OW1 K +SNOOK S N UH1 K +SNOOKER S N UH1 - K ER0 +SNOOKERED S N UH1 - K ER0 D +SNOOKS S N UH1 K S +SNOOP S N UW1 P +SNOOPING S N UW1 - P IH0 NG +SNOOPY S N UW1 - P IY0 +SNOOTY S N UW1 - T IY0 +SNOOZE S N UW1 Z +SNOOZING S N UW1 - Z IH0 NG +SNORE S N AO1 R +SNORING S N AO1 - R IH0 NG +SNORT S N AO1 R T +SNORTED S N AO1 R - T IH0 D +SNORTING S N AO1 R - T IH0 NG +SNORTS S N AO1 R T S +SNOT S N AO1 T +SNOUFFER S N OW1 - F ER0 +SNOUT S N AW1 T +SNOVER S N OW1 - V ER0 +SNOW S N OW1 +SNOWBALL S N OW1 - B AO2 L +SNOWBALL'S S N OW1 - B AO2 L Z +SNOWBALLED S N OW1 - B AO2 L D +SNOWBALLING S N OW1 - B AO2 - L IH0 NG +SNOWBALLS S N OW1 - B AO2 L Z +SNOWBERGER S N OW1 - B ER0 - G ER0 +SNOWBIRD S N OW1 - B ER2 D +SNOWBIRDS S N OW1 - B ER2 D Z +SNOWBOARD S N OW1 - B AO2 R D +SNOWBOARDER S N OW1 - B AO2 R - D ER0 +SNOWBOARDERS S N OW1 - B AO2 R - D ER0 Z +SNOWBOARDS S N OW1 - B AO2 R D Z +SNOWBOUND S N OW1 - B AW2 N D +SNOWDEN S N OW1 - D AH0 N +SNOWDON S N OW1 - D AH0 N +SNOWE S N OW1 +SNOWED S N OW1 D +SNOWFALL S N OW1 - F AA0 L +SNOWFALLS S N OW1 - F AA0 L Z +SNOWFLAKE S N OW1 - F L EY2 K +SNOWFLAKES S N OW1 - F L EY2 K S +SNOWING S N OW1 - IH0 NG +SNOWMAN S N OW1 - M AE2 N +SNOWMOBILE S N OW1 - M OW0 - B IY2 L +SNOWMOBILES S N OW1 - M OW0 - B IY2 L Z +SNOWPLOW S N OW1 - P L AW2 +SNOWPLOWS S N OW1 - P L AW2 Z +SNOWS S N OW1 Z +SNOWSHOE S N OW1 - SH UW2 +SNOWSTORM S N OW1 - S T AO2 R M +SNOWSTORMS S N OW1 - S T AO2 R M Z +SNOWY S N OW1 - IY0 +SNUB S N AH1 B +SNUBBED S N AH1 B D +SNUBBING S N AH1 - B IH0 NG +SNUCK S N AH1 K +SNUFF S N AH1 F +SNUFFED S N AH1 F T +SNUFFER S N AH1 - F ER0 +SNUFFING S N AH1 - F IH0 NG +SNUFFS S N AH1 F S +SNUG S N AH1 G +SNUGGING S N AH1 - G IH0 NG +SNUGGLE S N AH1 - G AH0 L +SNUGGS S N AH1 G Z +SNUGLY S N AH1 G - L IY0 +SNYDER S N AY1 - D ER0 +SNYDER'S S N AY1 - D ER0 Z +SNYDERGENERAL S N AY2 - D ER0 - JH EH1 - N ER0 - AH0 L +SO S OW1 +SO'S S OW1 Z +SO-CALLED S OW1 - K AO1 L D +SO-SO S OW1 - S OW1 +SOADY S OW1 - D IY0 +SOAK S OW1 K +SOAKED S OW1 K T +SOAKING S OW1 - K IH0 NG +SOAKS S OW1 K S +SOAP S OW1 P +SOAPBOX S OW1 P - B AA2 K S +SOAPS S OW1 P S +SOAPY S OW1 - P IY0 +SOAR S AO1 R +SOARD S AO1 R D +SOARED S AO1 R D +SOARES S AO1 - R EH0 S +SOARING S AO1 - R IH0 NG +SOARS S AO1 R Z +SOAVE S OW1 V +SOB S AA1 B +SOBBED S AA1 B D +SOBBING S AA1 - B IH0 NG +SOBBINGLY S AA1 - B IH0 NG - L IY0 +SOBCZAK S AA1 B - CH AE0 K +SOBCZYK S AA1 B - CH IH0 K +SOBECK S OW1 - B EH2 K +SOBECKI S AH0 - B EH1 T S - K IY0 +SOBEK S OW1 - B IH0 K +SOBEL S OW1 - B AH0 L +SOBELMAN S OW1 - B AH0 L - M AH0 N +SOBER S OW1 - B ER0 +SOBERED S OW1 - B ER0 D +SOBERING S OW1 - B ER0 - IH0 NG +SOBERLY S OW1 - B ER0 - L IY0 +SOBERS S OW1 - B ER0 Z +SOBEY S OW1 - B IY0 +SOBIBOR S OW0 - B IY1 - B AO0 R +SOBIBOR(2) S OW0 - B IH1 - B AO0 R +SOBIECH S AA1 - B IY0 HH +SOBIESKI S OW2 - B IY0 - EH1 S - K IY0 +SOBIN S OW1 - B IH0 N +SOBKOWIAK S AH0 B - K AW1 - IY0 - AE0 K +SOBLE S OW1 - B AH0 L +SOBOCINSKI S AH0 - B AH0 - CH IH1 N - S K IY0 +SOBOL S OW1 - B AH0 L +SOBOLESKI S AH0 - B AH0 - L EH1 S - K IY0 +SOBOLEWSKI S AH0 - B AH0 - L EH1 F S - K IY0 +SOBOLIK S AH0 - B OW1 - L IH0 K +SOBON S OW0 - B AO1 N +SOBOTA S AH0 - B OW1 - T AH0 +SOBOTKA S AH0 - B OW1 T - K AH0 +SOBOTTA S OW0 - B OW1 - T AH0 +SOBRIETY S AH0 - B R AY1 - AH0 - T IY0 +SOBRIQUET S OW1 - B R AH0 - K EY2 +SOBRIQUET(2) S AH2 - B R AH0 - K EH1 T +SOBS S AA1 B Z +SOCALLED S OW1 - K AA1 L D +SOCANAV S AA1 - K AH0 - N AA0 V +SOCARRAS S OW0 - K AA1 - R AA0 Z +SOCCER S AA1 - K ER0 +SOCCER'S S AA1 - K ER0 Z +SOCCI S OW1 - CH IY0 +SOCHA S OW1 - CH AH0 +SOCHACKI S AH0 - CH AE1 - K IY0 +SOCHET S OW0 - SH EY1 +SOCHI S OW1 - CH IY0 +SOCHOR S AA1 - K ER0 +SOCIA S OW1 - CH AH0 +SOCIABLE S OW1 - SH AH0 - B AH0 L +SOCIAL S OW1 - SH AH0 L +SOCIALISM S OW1 - SH AH0 - L IH2 - Z AH0 M +SOCIALIST S OW1 - SH AH0 - L AH0 S T +SOCIALIST(2) S OW1 - SH AH0 - L IH0 S T +SOCIALISTIC S OW2 - SH AH0 - L IH1 - S T IH0 K +SOCIALISTS S OW1 - SH AH0 - L AH0 S T S +SOCIALISTS' S OW2 - SH AH0 - L IH0 S T S +SOCIALISTS'(2) S OW2 - SH AH0 - L IH0 S S +SOCIALISTS'(3) S OW2 - SH AH0 - L IH0 S +SOCIALISTS(2) S OW1 - SH AH0 - L IH0 S T S +SOCIALISTS(3) S OW1 - SH AH0 - L IH0 S S +SOCIALISTS(4) S OW1 - SH AH0 - L IH0 S +SOCIALITE S OW1 - SH AH0 - L AY2 T +SOCIALITES S OW1 - SH AH0 - L AY2 T S +SOCIALIZATION S OW2 - SH AH0 - L IH0 - Z EY1 - SH AH0 N +SOCIALIZE S OW1 - SH AH0 - L AY2 Z +SOCIALIZED S OW1 - SH AH0 - L AY2 Z D +SOCIALIZING S OW1 - SH AH0 - L AY2 - Z IH0 NG +SOCIALLY S OW1 - SH AH0 - L IY0 +SOCIEDAD S OW2 - S IY0 - D AE1 D +SOCIETA S OW2 - S IY0 - EH1 - T AH0 +SOCIETAL S AH0 - S AY1 - IH0 - T AH0 L +SOCIETE S OW2 - S IY0 - EH0 - T EY1 +SOCIETIES S AH0 - S AY1 - AH0 - T IY0 Z +SOCIETY S AH0 - S AY1 - AH0 - T IY0 +SOCIETY'S S AH0 - S AY1 - AH0 - T IY0 Z +SOCIO S OW1 - S IY0 - OW0 +SOCIOECONOMIC S OW0 - S IY2 - OW2 - EH2 - K AH0 - N AA1 - M IH0 K +SOCIOLOGICAL S OW2 - S IY0 - AH0 - L AA1 - JH IH0 - K AH0 L +SOCIOLOGIST S OW2 - S IY0 - AA1 - L AH0 - JH IH0 S T +SOCIOLOGISTS S OW2 - S IY0 - AA1 - L AH0 - JH IH0 S T S +SOCIOLOGISTS(2) S OW2 - S IY0 - AA1 - L AH0 - JH IH0 S S +SOCIOLOGISTS(3) S OW2 - S IY0 - AA1 - L AH0 - JH IH0 S +SOCIOLOGY S OW2 - S IY0 - AA1 - L AH0 - JH IY0 +SOCIOPATH S OW1 - S IY0 - OW0 - P AE2 TH +SOCK S AA1 K +SOCKED S AA1 K T +SOCKET S AA1 - K AH0 T +SOCKETS S AA1 - K AH0 T S +SOCKING S AA1 - K IH0 NG +SOCKS S AA1 K S +SOCKWELL S AA1 - K W EH2 L +SOCOL S OW1 - K AA2 L +SOCRATES S AA1 - K R AH0 - T IY2 Z +SOCRATIC S AH0 - K R AE1 - T IH0 K +SOD S AA1 D +SODA S OW1 - D AH0 +SODA'S S OW1 - D AH0 Z +SODANO S OW0 - D AA1 - N OW0 +SODARO S OW0 - D AA1 - R OW0 +SODAS S OW1 - D AH0 Z +SODDEN S AA1 - D AH0 N +SODDERS S AA1 - D ER0 Z +SODECOM S OW1 - D AH0 - K AA0 M +SODEN S OW1 - D AH0 N +SODER S OW1 - D ER0 +SODERBERG S OW1 - D ER0 - B ER0 G +SODERBERGH S OW1 - D ER0 - B ER0 G +SODERBLOM S OW1 - D ER0 - B L AA2 M +SODERGREN S AA1 - D ER0 - G R EH0 N +SODERHOLM S OW1 - D ER0 - HH OW0 L M +SODERLUND S AA1 - D ER0 - L AH0 N D +SODERMAN S OW1 - D ER0 - M AH0 N +SODERQUIST S AA1 - D ER0 - K W IH0 S T +SODERSTROM S AA1 - D ER0 S - T R AH0 M +SODITIC S OW0 - D IH1 - T IH0 K +SODIUM S OW1 - D IY0 - AH0 M +SODOM S AA1 - D AH0 M +SODOMIZE S AH1 - D AH0 - M AY0 Z +SODOMIZED S AA1 - D AH0 - M AY0 Z D +SODOMIZED(2) S AH1 - D AH0 - M AY0 Z D +SODOMY S AA1 - D AH0 - M IY0 +SODUS S OW1 - D AH0 S +SOEDER S OW1 - D ER0 +SOENS S OW1 N Z +SOERENSEN S AO1 - R AH0 N - S AH0 N +SOFA S OW1 - F AH0 +SOFAER S OW0 - F EY1 R +SOFAMOR S OW1 - F AH0 - M AO2 R +SOFAS S OW1 - F AH0 Z +SOFER S OW1 - F ER0 +SOFER'S S OW1 - F ER0 Z +SOFFEL S AO1 - F AH0 L +SOFFER S AO1 - F ER0 +SOFIA S OW0 - F IY1 - AH0 +SOFIA'S S OW0 - F IY1 - AH0 Z +SOFIAN S OW0 - F IY1 - AH0 N +SOFIANS S OW0 - F IY1 - AH0 N Z +SOFIE S AA1 - F IY0 +SOFRANKO S AH0 - F R AE1 NG - K OW0 +SOFT S AA1 F T +SOFT(2) S AO1 F T +SOFTBALL S AO1 F T - B AO2 L +SOFTBALL(2) S AO1 F - B AO2 L +SOFTBALLS S AO1 F T - B AO2 L Z +SOFTBALLS(2) S AO1 F - B AO2 L Z +SOFTBANK S AO1 F T - B AE2 NG K +SOFTDRINK S AO1 F T - D R IH2 NG K +SOFTECH S AO1 F - T EH2 K +SOFTEN S AA1 - F AH0 N +SOFTEN(2) S AO1 - F AH0 N +SOFTENED S AO1 - F AH0 N D +SOFTENER S AO1 - F AH0 N - ER0 +SOFTENING S AO1 - F AH0 N - IH0 NG +SOFTENING(2) S AO1 F - N IH0 NG +SOFTENS S AO1 - F AH0 N Z +SOFTER S AA1 F - T ER0 +SOFTER(2) S AO1 F - T ER0 +SOFTEST S AO1 F - T AH0 S T +SOFTIMAGE S AO1 F - T IH2 - M IH0 JH +SOFTKEY S AA1 F T - K EY2 +SOFTLETTER S AO1 F T - L EH2 - T ER0 +SOFTLY S AO1 F T - L IY0 +SOFTLY(2) S AO1 F - L IY0 +SOFTNESS S AO1 F T - N AH0 S +SOFTNESS(2) S AO1 F - N AH0 S +SOFTSOAP S AO1 F T - S OW2 P +SOFTSOAP(2) S AO1 F - S OW2 P +SOFTSPOKEN S AO1 F T - S P OW1 - K AH0 N +SOFTSPOKEN(2) S AO1 F - S P OW1 - K AH0 N +SOFTWARE S AO1 F T - W EH2 R +SOFTWARE'S S AO1 F T - W EH2 R Z +SOFTWARE'S(2) S AO1 F - W EH2 R Z +SOFTWARE(2) S AO1 F - W EH2 R +SOFTWOOD S AO1 F T - W UH2 D +SOGANG S OW1 - G AE0 NG +SOGGY S AA1 - G IY0 +SOGO S OW1 - G OW0 +SOHIO S OW0 - HH AY1 - OW0 +SOHL S OW1 L +SOHM S OW1 M +SOHMER S OW1 - M ER0 +SOHN S AA1 N +SOHNS S AA1 N Z +SOHO S OW1 - HH OW0 +SOIFER S OY1 - F ER0 +SOIFFER S OY1 - F ER0 +SOIL S OY1 L +SOIL'S S OY1 L Z +SOILEAU S OY2 - L OW1 +SOILED S OY1 L D +SOILS S OY1 L Z +SOIR S OY1 R +SOIREE S W AA0 - R EY1 +SOISSON S OY1 Z - S AH0 N +SOJA S OW1 - JH AH0 +SOJKA S OY1 - K AH0 +SOJOURN S OW1 - JH ER0 N +SOK S AA1 K +SOKAIYA S AH0 - K AY1 - Y AH0 +SOKOL S OW1 - K AH0 L +SOKOLIK S AH0 - K OW1 - L IH0 K +SOKOLIN S AA1 - K AH0 - L IH0 N +SOKOLOFF S AA1 - K AH0 - L AO0 F +SOKOLOSKI S AH0 - K AH0 - L AW1 S - K IY0 +SOKOLOV S AA1 - K AH0 - L AA0 V +SOKOLOW S AA1 - K AH0 - L OW0 +SOKOLOW'S S AA1 - K AH0 - L OW2 Z +SOKOLOWSKI S AH0 - K AH0 - L AO1 F S - K IY0 +SOL S AA1 L +SOL(2) S OW1 L +SOLA S OW1 - L AH0 +SOLACE S AA1 - L AH0 S +SOLACE(2) S OW1 - L IH0 S +SOLAK S OW1 - L AH0 K +SOLAMAN S AA1 - L AH0 - M AH0 N +SOLAN S OW1 - L AH0 N +SOLANA S OW0 - L AE1 - N AH0 +SOLAND S AA1 - L AH0 N D +SOLANGI S OW0 - L AA1 N - JH IY0 +SOLANO S OW0 - L AA1 - N OW0 +SOLAR S OW1 - L ER0 +SOLARES S OW0 - L AA1 - R EH0 S +SOLARI S OW0 - L AA1 - R IY0 +SOLARIS S OW0 - L EH1 - R IH0 S +SOLARZ S OW1 - L AA0 R Z +SOLAZZO S OW0 - L AA1 - Z OW0 +SOLBERG S OW1 L - B ER0 G +SOLCHAGA S OW0 L - CH AA1 - G AH0 +SOLD S OW1 L D +SOLDAN S OW1 L - D AH0 N +SOLDANO S OW0 L - D AA1 - N OW0 +SOLDER S AA1 - D ER0 +SOLDERING S AA1 - D ER0 - IH0 NG +SOLDIER S OW1 L - JH ER0 +SOLDIER'S S OW1 L - JH ER0 Z +SOLDIERING S OW1 L - JH ER0 - IH0 NG +SOLDIERS S OW1 L - JH ER0 Z +SOLDIERS' S OW1 L - JH ER0 Z +SOLDNER S OW1 L D - N ER0 +SOLDO S OW1 L - D OW0 +SOLE S OW1 L +SOLECKI S AH0 - L EH1 T S - K IY0 +SOLEDAD S OW1 L - D AE2 D +SOLEIL S OW0 - L AY1 L +SOLELY S OW1 L - L IY0 +SOLEM S OW1 - L IH0 M +SOLEMN S AA1 - L AH0 M +SOLEMNITY S AH0 - L EH1 M - N AH0 - T IY0 +SOLEMNLY S AO1 - L AH0 M - L IY0 +SOLER S OW1 - L ER0 +SOLERI S OW0 - L EH1 - R IY0 +SOLES S OW1 L Z +SOLESBEE S OW1 L Z - B IY2 +SOLEY S OW1 - L IY0 +SOLHEIM S OW1 L - 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L IH1 - L AH0 - K W AY2 Z +SOLILOQUY S AH0 - L IH1 - L AH0 - K W IY0 +SOLIMAN S AA1 - L IH0 - M AH0 N +SOLIMAN'S S AA1 - L IH0 - M AH0 N Z +SOLIMINE S OW0 - L IY0 - M IY1 - N IY0 +SOLIMON S OW1 - L IH0 - M AH0 N +SOLIN S OW1 - L IH0 N +SOLINGEN S OW1 - L IH0 NG - G EH0 N +SOLINGEN(2) S AA1 - L IH0 NG - G EH0 N +SOLINGER S OW1 - L IH0 - NG ER0 +SOLIS S OW1 - L IH0 S +SOLITA S OW0 - L IY1 - T AH0 +SOLITAIRE S AA2 - L AH0 - T EH1 R +SOLITARINESS S AA0 - L AH0 - T EH1 - R IY0 - N IH0 S +SOLITARY S AA1 - L AH0 - T EH2 - R IY0 +SOLITEC S AA1 - L IH0 - T EH2 K +SOLITRON S OW1 - L IH0 - T R AA0 N +SOLITUDE S AA1 - L AH0 - T UW2 D +SOLIZ S OW1 - L IY0 Z +SOLL S AA1 L +SOLLARS S AA1 - L ER0 Z +SOLLENBERGER S AA1 - L AH0 N - B ER0 - G ER0 +SOLLER S AA1 - L ER0 +SOLLERS S AA1 - L ER0 Z +SOLLEY S AA1 - L IY0 +SOLLIDAY S AA1 - L IY0 - D EY0 +SOLLIE S AA1 - L IY0 +SOLLINGER S AA1 - L IH0 - NG ER0 +SOLLISH S AA1 - L IH0 SH +SOLLOWAY S AA1 - L OW0 - W EY2 +SOLLY S AA1 - L IY0 +SOLO S OW1 - L OW2 +SOLODAR S AA1 - 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L IY0 +SOMBRERO S AA0 M - B R EH1 - R OW0 +SOME S AH1 M +SOMEBODY S AH1 M - B AA2 - D IY0 +SOMEBODY'S S AH1 M - B AA2 - D IY0 +SOMEBODY'S(2) S AH1 M - B AH0 - D IY0 +SOMEBODY(2) S AH1 M - B AH0 - D IY0 +SOMEDAY S AH1 M - D EY2 +SOMEHOW S AH1 M - HH AW2 +SOMEONE S AH1 M - W AH2 N +SOMEONE'S S AH1 M - W AH2 N Z +SOMEPLACE S AH1 M - P L EY2 S +SOMER S AH1 - M ER0 +SOMERS S AH1 - M ER0 Z +SOMERSAULT S AH1 - M ER0 - S AO2 L T +SOMERSAULTING S AH1 - M ER0 - S AO2 L - T IH0 NG +SOMERSAULTS S AH1 - M ER0 - S AO2 L T S +SOMERSET S AH1 - M ER0 - S EH2 T +SOMERTON S AH1 - M ER0 - T AH0 N +SOMERVILLE S AH1 - M ER0 - V IH2 L +SOMES S AH1 M Z +SOMESH S OW2 - M EH1 SH +SOMETHIN' S AH1 M - TH IH0 N +SOMETHING S AH1 M - TH IH0 NG +SOMETHING'S S AH1 M - TH IH0 NG Z +SOMETHINGS S AH1 M - TH IH2 NG Z +SOMETIME S AH1 M - T AY2 M +SOMETIMES S AH0 M - T AY1 M Z +SOMETIMES(2) S AH1 M - T AY2 M Z +SOMEWHAT S AH1 M - W AH1 T +SOMEWHAT(2) S AH1 M - HH W AH1 T +SOMEWHERE S AH1 M - W EH2 R +SOMEWHERE(2) S AH1 M - 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F IH1 - S T AH0 - K AH0 T +SOPHISTICATED S AH0 - F IH1 - S T AH0 - K EY2 - T IH0 D +SOPHISTICATED(2) S AH0 - F IH1 - S T IH0 - K EY2 - T AH0 D +SOPHISTICATES S AH0 - F IH1 - S T AH0 - K IH2 T S +SOPHISTICATION S AH0 - F IH2 - S T AH0 - K EY1 - SH AH0 N +SOPHOCLES S AA1 - F AH0 - K L IY0 Z +SOPHOMORE S AA1 F - M AO2 R +SOPHOMORES S AA1 F - M AO2 R Z +SOPHOMORIC S AA2 - F OW0 - M AA1 - R IH0 K +SOPHRONIA S OW0 - F R OW1 - N IY0 - AH0 +SOPHY S OW1 - F IY0 +SOPKO S OW1 P - K OW0 +SOPP S AA1 P +SOPPING S AA1 - P IH0 NG +SOPRANO S AH0 - P R AA1 - N OW0 +SOPRANO(2) S AH0 - P R AE1 - N OW0 +SOPRANOS S AH0 - P R AE1 - N OW0 Z +SOPS S AA1 P S +SOQUIP S OW1 - K W IH0 P +SOR S AO1 R +SORANNO S AO0 - R AA1 - N OW0 +SORBELLO S AO2 R - B EH1 - L OW0 +SORBER S AO1 R - B ER0 +SORBET S AO2 R - B EY1 +SORBET(2) S AO1 R - B EH0 T +SORBO S AO1 R - B OW0 +SORBONNE S AO0 R - B AA1 N +SORBUS S AO1 R - B AH0 S +SORCE S AO1 R S +SORCERER S AO1 R - S ER0 - ER0 +SORCERERS S AO1 R - S ER0 - ER0 Z +SORCERY S AO1 R - S ER0 - IY0 +SORCHA S AO1 R - K AH0 +SORCI S AO1 R - CH IY0 +SORDID S AO1 R - D AH0 D +SORDONI S AO0 R - D OW1 - N IY0 +SORE S AO1 R +SOREL S AO1 - R AH0 L +SORELL S AO1 - R AH0 L +SORELY S AO1 R - L IY0 +SORENSEN S AO1 - R IH0 N - S AH0 N +SORENSON S AO1 - R AH0 N - S AH0 N +SORENTO S ER0 - EH1 N - T OW0 +SORENTO'S S ER0 - EH1 N - T OW0 Z +SORES S AO1 R Z +SOREY S AO1 - R IY0 +SORG S AO1 R G +SORGE S AO1 R JH +SORGEN S AO1 R - G AH0 N +SORGHUM S AO1 R - G AH0 M +SORIA S AO1 - R IY0 - AH0 +SORIANO S AO0 - R IY0 - AA1 - N OW0 +SORICE S AO1 - R IH0 S +SORKIN S AO1 R - K IH0 N +SORKOW S AO1 R - K AW2 +SORLIE S AO1 R - L IY0 +SOROKA S AO0 - R OW1 - K AH0 +SORORITIES S ER0 - AO1 - R AH0 - T IY0 Z +SORORITY S ER0 - AO1 - R AH0 - T IY0 +SOROS S AO1 - R OW0 S +SOROS'S S AO1 - R OW0 - S IH0 Z +SOROVSKI S AO0 - R AO1 V S - K IY0 +SOROVSKI'S S AO0 - R AO1 V - S K IY0 Z +SORPASSO S AO0 R - P AA1 - S OW0 +SORREL S AO1 - R AH0 L +SORRELL S AO1 - R AH0 L +SORRELL'S S AO1 - R AH0 L Z +SORRELLS S AO1 - R AH0 L Z +SORRELS S AO1 - R AH0 L Z +SORRENTI S AO0 - R EH1 N - T IY0 +SORROW S AA1 - R OW0 +SORROWFUL S AA1 - R OW0 - F AH0 L +SORROWS S AA1 - R OW0 Z +SORRY S AA1 - R IY0 +SORT S AO1 R T +SORTED S AO1 R - T IH0 D +SORTER S AO1 R - T ER0 +SORTERS S AO1 R - T ER0 Z +SORTIE S AO1 R - T IY0 +SORTIES S AO1 R - T IY0 Z +SORTING S AO1 R - T IH0 NG +SORTINO S AO0 R - T IY1 - N OW0 +SORTOR S AO1 R - T ER0 +SORTS S AO1 R T S +SORUM S AO1 - R AH0 M +SORUS S AO1 - R AH0 S +SORVINO S AO0 R - V IY1 - N OW0 +SOSA S OW1 - S AH0 +SOSEBEE S AA1 - S IH0 - B IY0 +SOSHI S OW1 - SH IY0 +SOSIN S OW1 - S IH2 N +SOSINSKI S AH0 - S IH1 N - S K IY0 +SOSKIN S AA1 - S K IH0 N +SOSNA S OW1 S - N AH0 +SOSNOFF S AO1 S - N AO0 F +SOSNOFF'S S AO1 S - N AO0 F S +SOSNOWSKI S AH0 S - N AO1 F S - K IY0 +SOSS S AO1 S +SOSSAMON S OW0 - S AA0 - M AO1 N +SOSUKE S OW0 - S UW1 - K EY2 +SOTAK S OW1 - T AH0 K +SOTELLO S OW0 - T EH1 - L OW0 +SOTELO S OW0 - T EH1 - L OW0 +SOTER S OW1 - T ER0 +SOTHEBY S AA1 - TH AH0 - B IY0 +SOTHEBY'S S AA1 - TH AH0 - B IY0 Z +SOTO S OW1 - T OW0 +SOTOLONGO S OW0 - T OW0 - L OW1 NG - G OW0 +SOTOMAYOR S OW0 - T OW0 - M EY0 - AO1 R +SOTTI S OW1 - T IY0 +SOTTILE S OW1 - T AH0 L +SOUCCAR S UW1 - K AA2 R +SOUCEK S OW1 - S IH0 K +SOUCIE S OW1 - K IY0 +SOUCY S OW1 - S IY0 +SOUDER S AW1 - D ER0 +SOUDERS S AW1 - D ER0 Z +SOUERS S AW1 - ER0 Z +SOUFFLE S UW0 F - L EY1 +SOUGHT S AO1 T +SOUK S UW1 K +SOUKUP S AW1 K - AH0 P +SOUL S OW1 L +SOULE S AW1 L +SOULES S UW1 L Z +SOULFUL S OW1 L - F AH0 L +SOULIER S UW1 - L IY0 - ER0 +SOULJAH S UW1 L - JH AH0 +SOULLESS S OW1 L - L AH0 S +SOULLIERE S UW1 - L IY0 - EH0 R +SOULS S OW1 L Z +SOUND S AW1 N D +SOUND'S S AW1 N D Z +SOUNDBITE S AW1 N D - B AY2 T +SOUNDBITES S AW1 N D - B AY2 T S +SOUNDED S AW1 N - D AH0 D +SOUNDED(2) S AW1 N - D IH0 D +SOUNDER S AW1 N - D ER0 +SOUNDEST S AW1 N - D AH0 S T +SOUNDING S AW1 N - D IH0 NG +SOUNDINGS S AW1 N - D IH0 NG Z +SOUNDLY S AW1 N D - L IY0 +SOUNDNESS S AW1 N D - N AH0 S +SOUNDS S AW1 N D Z +SOUNDS(2) S AW1 N Z +SOUNDSCAN S AW1 N D - S K AE2 N +SOUNDTRACK S AW1 N D - T R AE2 K +SOUNDTRACK(2) S AW1 N - T R AE2 K +SOUNDTRACKS S AW1 N D - T R AE2 K S +SOUNDTRACKS(2) S AW1 N - T R AE2 K S +SOUNDVIEW S AW1 N D - V Y UW2 +SOUP S UW1 P +SOUP'S S UW1 P S +SOUPED S UW1 P T +SOUPS S UW1 P S +SOUPY S UW1 - P IY0 +SOUR S AW1 - ER0 +SOUR(2) S AW1 R +SOURBY S AW1 R - B IY0 +SOURCE S AO1 R S +SOURCEBOOK S AO1 R S - B UH2 K +SOURCES S AO1 R - S AH0 Z +SOURCES' S AO1 R - S AH0 Z +SOURCING S AO1 R - S IH0 NG +SOURED S AW1 - ER0 D +SOURING S AW1 - ER0 - IH0 NG +SOURIS S UW1 - R IH0 S +SOURROUILLE S AO0 - R UW1 - IY0 +SOURS S AW1 - ER0 Z +SOURS(2) S AW1 R Z +SOUS S UW1 Z +SOUSA S UW1 - Z AH0 +SOUSA'S S UW1 - Z AH0 Z +SOUSAPHONE S UW1 - Z AH0 - F OW2 N +SOUSLEY S AW1 S - L IY0 +SOUTAR S UW0 - T AA1 R +SOUTER S UW1 - T ER0 +SOUTER(2) S AW1 - T ER0 +SOUTH S AW1 TH +SOUTH'S S AW1 TH S +SOUTHALL S AW1 - TH AH0 L +SOUTHAM S AW1 - TH AH0 M +SOUTHAMPTON S AW0 TH - HH AE1 M P - T AH0 N +SOUTHARD S AW1 - TH ER0 D +SOUTHBOUND S AW1 TH - B AW2 N D +SOUTHDOWN S AW1 TH - D AW2 N +SOUTHDOWN'S S AW1 TH - D AW2 N Z +SOUTHEAST S AW2 TH - IY1 S T +SOUTHEAST'S S AW2 TH - IY1 S T S +SOUTHEASTERN S AW2 TH - IY1 - S T ER0 N +SOUTHEASTERN'S S AW2 TH - IY1 - S T ER0 N Z +SOUTHER S AH1 - DH ER0 +SOUTHERLAND S AH1 - DH ER0 - L AH0 N D +SOUTHERLY S AH1 - DH ER0 - L IY0 +SOUTHERN S AH1 - DH ER0 N +SOUTHERN'S S AH1 - DH ER0 N Z +SOUTHERNER S AH1 - DH ER0 - N ER0 +SOUTHERNERS S AH1 - DH ER0 - N ER0 Z +SOUTHERNMOST S AH1 - DH ER0 N - M OW2 S T +SOUTHERNNET S AH1 - DH ER0 - N EH0 T +SOUTHERNNET'S S AH1 - DH ER0 - N EH0 T S +SOUTHERS S AH1 - DH ER0 Z +SOUTHFIELD S AW1 TH - F IY2 L D +SOUTHGATE S AW1 TH - G EY2 T +SOUTHIN S AW1 - TH IH2 N +SOUTHLAND S AW1 TH - L AE2 N D +SOUTHLAND'S S AW1 TH - L AE2 N D Z +SOUTHLIFE S AW1 TH - L AY2 F +SOUTHMARK S AW1 TH - M AA2 R K +SOUTHMARK'S S AW1 TH - M AA2 R K S +SOUTHOLD S AW1 TH - OW2 L D +SOUTHPORT S AW1 TH - P AO2 R T +SOUTHS S AW1 TH S +SOUTHSIDE S AW1 TH - S AY2 D +SOUTHSTATE S AW1 TH - S T EY2 T +SOUTHWALL S AW1 TH - W AO2 L +SOUTHWARD S AW1 TH - W ER0 D +SOUTHWAY S AW1 TH - W EY2 +SOUTHWELL S AW1 TH - W EH2 L +SOUTHWEST S AW2 TH - W EH1 S T +SOUTHWEST'S S AW2 TH - W EH1 S T S +SOUTHWESTERN S AW2 TH - W EH1 - S T ER0 N +SOUTHWICK S AW1 TH - W IH0 K +SOUTHWOOD S AW1 TH - W UH2 D +SOUTHWORTH S AW1 TH - W ER0 TH +SOUTO S UW1 - T OW0 +SOUVENIR S UW2 - V AH0 - N IH1 R +SOUVENIRS S UW2 - V AH0 - N IH1 R Z +SOUVEROFF S UW1 - V ER0 - AO0 F +SOUZA S UW1 - Z AH0 +SOUZAS S UW1 - Z AH0 Z +SOVA S OW1 - V AH0 +SOVEREIGN S AA1 - V R AH0 N +SOVEREIGNS S AA1 - V R AH0 N Z +SOVEREIGNTY S AA1 - V R AH0 N - T IY0 +SOVETSKAYA S OW2 - V EH0 T - S K AY1 - AH0 +SOVEXPORTFILM S OW2 - V EH2 K - S P AO0 R T - F IH1 L M +SOVEY S OW1 - V IY0 +SOVIET S OW1 - V IY0 - AH0 T +SOVIET'S S OW1 - V IY0 - EH2 T S +SOVIET(2) S OW1 - V IY0 - EH2 T +SOVIET-UNION S OW1 - V IY0 - EH2 T - Y UW1 - N Y AH0 N +SOVIETOLOGIST S OW2 - V IY0 - AH0 - T AA1 - L AH0 - JH IH0 S T +SOVIETOLOGISTS S OW2 - V IY0 - AH0 - T AA1 - L AH0 - JH IH0 S T S +SOVIETOLOGISTS(2) S OW2 - V IY0 - AH0 - T AA1 - L AH0 - JH IH0 S S +SOVIETOLOGISTS(3) S OW2 - V IY0 - AH0 - T AA1 - L AH0 - JH IH0 S +SOVIETS S OW1 - V IY0 - EH2 T S +SOVIETS' S OW1 - V IY0 - EH2 T S +SOVINE S AA1 - V AY0 N +SOVRAN S AA1 - V R AH0 N +SOVRAN'S S AA1 - V R AH0 N Z +SOVRANS S AA1 - V R AH0 N Z +SOW S AW1 +SOW(2) S OW1 +SOWA S OW1 - AH0 +SOWARD S OW1 - ER0 D +SOWARDS S OW1 - ER0 D Z +SOWASH S OW1 - AH0 SH +SOWATA S OW2 - AA1 - T AH0 +SOWATA'S S OW2 - AA1 - T AH0 Z +SOWDEN S OW1 - D AH0 N +SOWDER S OW1 - D ER0 +SOWDERS S OW1 - D ER0 Z +SOWED S AW1 D +SOWED(2) S OW1 D +SOWELL S AA1 - W EH0 L +SOWER S OW1 - ER0 +SOWERS S OW1 - ER0 Z +SOWETO S OW0 - EY1 - T OW0 +SOWING S OW1 - IH0 NG +SOWINSKI S OW0 - IH1 N - S K IY0 +SOWLE S OW1 L +SOWLES S OW1 L Z +SOWN S OW1 N +SOWS S OW1 Z +SOX S AA1 K S +SOX'S S AA1 K - S IH0 Z +SOY S OY1 +SOYA S OY1 - AH0 +SOYARS S OY1 - ER0 Z +SOYBEAN S OY1 - B IY2 N +SOYBEANS S OY1 - B IY2 N Z +SOYKA S OY1 - K AH0 +SOYSAUCE S OY1 - S AO2 S +SOYUZ S OY1 - AH0 Z +SOYUZ(2) S OY1 - UW2 Z +SOZA S OW1 - Z AH0 +SOZIO S OW1 - Z IY0 - OW0 +SPA S P AA1 +SPACE S P EY1 S +SPACEBALL S P EY1 S - B AO2 L +SPACEBALLS S P EY1 S - B AO2 L Z +SPACEBAND S P EY1 S - B AE2 N D +SPACEBANDS S P EY1 S - B AE2 N D Z +SPACECRAFT S P EY1 S - K R AE2 F T +SPACECRAFT'S S P EY1 S - K R AE2 F T S +SPACED S P EY1 S T +SPACEHAB S P EY1 S - HH AE2 B +SPACEK S P AA1 - CH EH0 K +SPACEK(2) S P AA1 - S EH0 K +SPACELINK S P EY1 S - L IH2 NG K +SPACENET S P EY1 S - N EH2 T +SPACEPORT S P EY1 S - P AO2 R T +SPACER S P EY1 - S ER0 +SPACERS S P EY1 - S ER0 Z +SPACES S P EY1 - S AH0 Z +SPACES(2) S P EY1 - S IH0 Z +SPACESHIP S P EY1 S - SH IH2 P +SPACESHIPS S P EY1 S - SH IH2 P S +SPACESUIT S P EY1 S - UW2 T +SPACESUITS S P EY1 S - UW2 T S +SPACEWALK S P EY1 S - W AA2 K +SPACEWALKING S P EY1 S - W AA2 - K IH0 NG +SPACEWALKS S P EY1 S - W AA2 K S +SPACEY S P EY1 - S IY0 +SPACING S P EY1 - S IH0 NG +SPACIOUS S P EY1 - SH AH0 S +SPACK S P AE1 K +SPACKMAN S P AE1 K - M AH0 N +SPADA S P AA1 - D AH0 +SPADACCINI S P AA0 - D AA0 - CH IY1 - N IY0 +SPADAFORA S P AA0 - D AA0 - F AO1 - R AH0 +SPADAFORE S P AA0 - D AO1 - F AO0 R +SPADARO S P AA0 - D AA1 - R OW0 +SPADE S P EY1 D +SPADER S P EY1 - D ER0 +SPADES S P EY1 D Z +SPADEWORK S P EY1 D - W ER2 K +SPADONI S P AA0 - D OW1 - N IY0 +SPADY S P EY1 - D IY0 +SPAETH S P IY1 TH +SPAFFORD S P AE1 - F ER0 D +SPAGHETTI S P AH0 - G EH1 - T IY0 +SPAGNA S P AE1 G - N AH0 +SPAGNOLA S P AA0 G - N OW1 - L AH0 +SPAGNOLI S P AA0 G - N OW1 - L IY0 +SPAGNOLO S P AA0 G - N OW1 - L OW0 +SPAGNUOLO S P AA0 G - N Y UW0 - OW1 - L OW0 +SPAGO S P EY1 - G OW0 +SPAHN S P AA1 N +SPAHR S P AA1 R +SPAID S P EY1 D +SPAIN S P EY1 N +SPAIN'S S P EY1 N Z +SPAINHOUR S P AY1 - N AW0 R +SPAINHOWER S P AY1 N - HH OW0 - ER0 +SPAK S P AE1 K +SPAKE S P EY1 K +SPALDING S P AO1 L - D IH0 NG +SPALINK S P EY1 - L IH2 NG K +SPALINK(2) S P AA1 - L IH2 NG K +SPALL S P AO1 L +SPALLA S P AE1 - L AH0 +SPALLONE S P AE1 - L OW2 N +SPALVINS S P AE1 L - V IH0 N Z +SPAM S P AE1 M +SPAMPINATO S P AA0 M - P IY0 - N AA1 - T OW0 +SPAN S P AE1 N +SPAN'S S P AE1 N Z +SPANBAUER S P AE1 N - B AW0 - ER0 +SPANDEX S P AE1 N - D AH0 K S +SPANG S P AE1 NG +SPANGENBERG S P AE1 - NG AH0 N - B ER0 G +SPANGLE S P AE1 NG - G AH0 L +SPANGLED S P AE1 NG - G AH0 L D +SPANGLER S P AE1 NG - G AH0 - L ER0 +SPANGLER(2) S P AE1 NG - G L ER0 +SPANIARD S P AE1 - N Y ER0 D +SPANIARDS S P AE1 - N Y ER0 D Z +SPANIEL S P AE1 - N Y AH0 L +SPANIER S P AE1 - N Y ER0 +SPANIOL S P AE1 - N Y AH0 L +SPANISH S P AE1 - N IH0 SH +SPANK S P AE1 NG K +SPANKED S P AE1 NG K T +SPANKING S P AE1 NG - K IH0 NG +SPANKY S P AE1 N - K IY0 +SPANN S P AE1 N +SPANNED S P AE1 N D +SPANNER S P AE1 - N ER0 +SPANNING S P AE1 - N IH0 NG +SPANNINGER S P AE1 - N IH0 - NG ER0 +SPANO S P AA1 - N OW0 +SPANOS S P EY1 - N OW0 Z +SPANS S P AE1 N Z +SPANTON S P AE1 N - T AH0 N +SPAR S P AA1 R +SPARACINO S P ER0 - AH0 - CH IY1 - N OW0 +SPARACIO S P ER0 - EY1 - S IY0 - OW0 +SPARACO S P ER0 - AE1 - K OW0 +SPARANO S P ER0 - AE1 - N OW0 +SPARC S P AA1 R K +SPARE S P EH1 R +SPARED S P EH1 R D +SPARES S P EH1 R Z +SPARGER S P AA1 R - JH ER0 +SPARGO S P AA1 R - G OW0 +SPARGUR S P AA1 R - G ER0 +SPARING S P EH1 - R IH0 NG +SPARINGLY S P EH1 - R IH0 NG - L IY0 +SPARK S P AA1 R K +SPARKED S P AA1 R K T +SPARKES S P AA1 R K S +SPARKING S P AA1 R - K IH0 NG +SPARKLE S P AA1 R - K AH0 L +SPARKLED S P AA1 R - K AH0 L D +SPARKLES S P AA1 R - K AH0 L Z +SPARKLING S P AA1 R - K L IH0 NG +SPARKLING(2) S P AA1 R - K AH0 L - IH0 NG +SPARKLY S P AA1 R K - L IY0 +SPARKMAN S P AA1 R K - M AH0 N +SPARKS S P AA1 R K S +SPARKY S P AA1 R - K IY0 +SPARLIN S P AA1 R - L IH0 N +SPARLING S P AA1 R - L IH0 NG +SPARR S P AE1 R +SPARRED S P AA1 R D +SPARRING S P AA1 - R IH0 NG +SPARROW S P EH1 - R OW0 +SPARROWS S P EH1 - R OW0 Z +SPARSE S P AA1 R S +SPARSELY S P AA1 R S - L IY0 +SPARTA S P AA1 R - T AH0 +SPARTACUS S P AA1 R - T AH0 - K AH0 S +SPARTAN S P AA1 R - T AH0 N +SPARTANBURG S P AA1 R - T AH0 N - B ER0 G +SPARTECH S P AA1 R - T EH2 K +SPARTZ S P AA1 R T S +SPAS S P AA1 Z +SPASM S P AE1 - Z AH0 M +SPASMS S P AE1 - Z AH0 M Z +SPASSO S P AE1 - S OW0 +SPAT S P AE1 T +SPATAFORA S P AA0 - T AA0 - F AO1 - R AH0 +SPATAFORE S P AE1 - T AH0 - F AO2 R +SPATARO S P AA0 - T AA1 - R OW0 +SPATE S P EY1 T +SPATES S P EY1 T S +SPATH S P AE1 TH +SPATIAL S P EY1 - SH AH0 L +SPATOLA S P AA0 - T OW1 - L AH0 +SPATS S P AE1 T S +SPATTER S P AE1 - T ER0 +SPATTERED S P AE1 - T ER0 D +SPATTERING S P AE1 - T ER0 - IH0 NG +SPATTERS S P AE1 - T ER0 Z +SPATULA S P AE1 - CH UH0 - L AH0 +SPATZ S P AE1 T S +SPAUGH S P AO1 +SPAULDING S P AO1 L - D IH0 NG +SPAUR S P AO1 R +SPAVO S P AA1 - V OW0 +SPAW S P AO1 +SPAWN S P AA1 N +SPAWN(2) S P AO1 N +SPAWNED S P AO1 N D +SPAWNING S P AA1 - N IH0 NG +SPAWNING(2) S P AO1 - N IH0 NG +SPAWNS S P AA1 N Z +SPAWNS(2) S P AO1 N Z +SPAYD S P EY1 D +SPAYDE S P EY1 D +SPAZIANI S P AA0 - Z IY0 - AA1 - N IY0 +SPEAGLE S P IY1 - G AH0 L +SPEAK S P IY1 K +SPEAKE S P IY1 K +SPEAKER S P IY1 - K ER0 +SPEAKER'S S P IY1 - K ER0 Z +SPEAKERS S P IY1 - K ER0 Z +SPEAKERSHIP S P IY1 - K ER0 - SH IH2 P +SPEAKES S P IY1 K S +SPEAKES'S S P IY1 K - S IH0 Z +SPEAKING S P IY1 - K IH0 NG +SPEAKMAN S P IY1 K - M AH0 N +SPEAKS S P IY1 K S +SPEAR S P IH1 R +SPEARE S P IY1 R +SPEARHEAD S P IH1 R - HH EH2 D +SPEARHEADED S P IH1 R - HH EH2 - D IH0 D +SPEARHEADING S P IH1 R - HH EH2 - D IH0 NG +SPEARING S P IH1 - R IH0 NG +SPEARMAN S P IH1 R - M AH0 N +SPEARS S P IH1 R Z +SPEAS S P IY1 Z +SPEASE S P IY1 Z +SPEC S P EH1 K +SPECHT S P EH1 K T +SPECIAL S P EH1 - SH AH0 L +SPECIAL'S S P EH1 - SH AH0 L Z +SPECIALE S P EH1 - CH AH0 - L IY0 +SPECIALIST S P EH1 - SH AH0 - L AH0 S T +SPECIALIST(2) S P EH1 - SH AH0 - L IH0 S T +SPECIALISTS S P EH1 - SH AH0 - L AH0 S T S +SPECIALISTS' S P EH1 - SH AH0 - L IH0 S T S +SPECIALISTS'(2) S P EH1 - SH AH0 - L IH0 S S +SPECIALISTS'(3) S P EH1 - SH AH0 - L IH0 S +SPECIALISTS(2) S P EH1 - SH AH0 - L IH0 S T S +SPECIALISTS(3) S P EH1 - SH AH0 - L IH0 S S +SPECIALISTS(4) S P EH1 - SH AH0 - L IH0 S +SPECIALITIES S P EH1 - SH AH0 L - T IY0 Z +SPECIALITY S P EH2 - SH IY0 - AE1 - L IH0 - T IY0 +SPECIALIZATION S P EH2 - SH AH0 - L AH0 - Z EY1 - SH AH0 N +SPECIALIZE S P EH1 - SH AH0 - L AY2 Z +SPECIALIZED S P EH1 - SH AH0 - L AY2 Z D +SPECIALIZES S P EH1 - SH AH0 - L AY2 - Z AH0 Z +SPECIALIZES(2) S P EH1 - SH AH0 - L AY2 - Z IH0 Z +SPECIALIZING S P EH1 - SH AH0 - L AY2 - Z IH0 NG +SPECIALLY S P EH1 - SH AH0 - L IY0 +SPECIALLY(2) S P EH1 SH - L IY0 +SPECIALS S P EH1 - SH AH0 L Z +SPECIALTIES S P EH1 - SH AH0 L - T IY0 Z +SPECIALTY S P EH1 - SH AH0 L - T IY0 +SPECIALTY(2) S P EY1 - SH AH0 L - T IY0 +SPECIES S P IY1 - SH IY0 Z +SPECIES' S P IY1 - SH IY0 Z +SPECIFIC S P AH0 - S IH1 - F IH0 K +SPECIFIC(2) S P IH0 - S IH1 - F IH0 K +SPECIFICALLY S P AH0 - S IH1 - F IH0 K - L IY0 +SPECIFICATION S P EH2 - S IH0 - F IH0 - K EY1 - SH AH0 N +SPECIFICATIONS S P EH2 - S AH0 - F AH0 - K EY1 - SH AH0 N Z +SPECIFICITY S P EH2 - S AH0 - F IH1 - S AH0 - T IY0 +SPECIFICS S P IH0 - S IH1 - F IH0 K S +SPECIFIED S P EH1 - S AH0 - F AY2 D +SPECIFIES S P EH1 - S AH0 - F AY2 Z +SPECIFY S P EH1 - S AH0 - F AY2 +SPECIFYING S P EH1 - S AH0 - F AY2 - IH0 NG +SPECIMEN S P EH1 - S AH0 - M AH0 N +SPECIMENS S P EH1 - S AH0 - M AH0 N Z +SPECIOUS S P IY1 - SH AH0 S +SPECK S P EH1 K +SPECKER S P EH1 - K ER0 +SPECKLE S P EH1 - K AH0 L +SPECKLED S P EH1 - K AH0 L D +SPECKMAN S P EH1 K - M AH0 N +SPECKS S P EH1 K S +SPECS S P EH1 K S +SPECTACLE S P EH1 K - T AH0 - K AH0 L +SPECTACLES S P EH1 K - T AH0 - K AH0 L Z +SPECTACULAR S P EH0 K - T AE1 - K Y AH0 - L ER0 +SPECTACULARLY S P EH0 K - T AE1 - K Y AH0 - L ER0 - L IY0 +SPECTATOR S P EH1 K - T EY0 - T ER0 +SPECTATORS S P EH1 K - T EY0 - T ER0 Z +SPECTER S P EH1 K - T ER0 +SPECTER'S S P EH1 K - T ER0 Z +SPECTHRIE S P EH1 K - TH R IY0 +SPECTOR S P EH1 K - T ER0 +SPECTRA S P EH1 K - T R AH0 +SPECTRA'S S P EH1 K - T R AH0 Z +SPECTRADYNE S P EH1 K - T R AH0 - D AY2 N +SPECTRAMED S P EH1 K - T R AH0 M D +SPECTRAMED(2) S P EH1 K - T R AH0 - M EH2 D +SPECTRAN S P EH1 K - T R AE2 N +SPECTRAVISION S P EH1 K - T R AH0 - V IH2 - ZH AH0 N +SPECTRE S P EH1 K - T ER0 +SPECTROGRAPH S P EH1 K - T R AH0 - G R AE2 F +SPECTROMETER S P EH0 K - T R AA1 - M AH0 - T ER0 +SPECTROMETRY S P EH0 K - T R AA1 - M AH0 - T R IY0 +SPECTROSCOPY S P EH0 K - T R AA1 - S K AH0 - P IY0 +SPECTRUM S P EH1 K - T R AH0 M +SPECTRUM'S S P EH1 K - T R AH0 M Z +SPECTRUMS S P EH1 K - T R AH0 M Z +SPECULATE S P EH1 - K Y AH0 - L EY2 T +SPECULATED S P EH1 - K Y AH0 - L EY2 - T AH0 D +SPECULATED(2) S P EH1 - K Y AH0 - L EY2 - T IH0 D +SPECULATES S P EH1 - K Y AH0 - L EY2 T S +SPECULATING S P EH1 - K Y AH0 - L EY2 - T IH0 NG +SPECULATION S P EH2 - K Y AH0 - L EY1 - SH AH0 N +SPECULATIONS S P EH2 - K Y AH0 - L EY1 - SH AH0 N Z +SPECULATIVE S P EH1 - K Y AH0 - L AH0 - T IH0 V +SPECULATOR S P EH1 - K Y AH0 - L EY2 - T ER0 +SPECULATORS S P EH1 - K Y AH0 - L EY2 - T ER0 Z +SPECULATORS' S P EH1 - K Y AH0 - L ER0 - T EY2 Z +SPED S P EH1 D +SPEECE S P IY1 S +SPEECH S P IY1 CH +SPEECHES S P IY1 - CH AH0 Z +SPEECHES(2) S P IY1 - CH IH0 Z +SPEECHLESS S P IY1 CH - L AH0 S +SPEECHWRITER S P IY1 CH - R AY2 - T ER0 +SPEECHWRITERS S P IY1 CH - R AY2 - T ER0 Z +SPEED S P IY1 D +SPEEDBOAT S P IY1 D - B OW2 T +SPEEDBOATS S P IY1 D - B OW2 T S +SPEEDED S P IY1 - D IH0 D +SPEEDER S P IY1 - D ER0 +SPEEDERS S P IY1 - D ER0 Z +SPEEDIER S P IY1 - D IY0 - ER0 +SPEEDILY S P IY1 - D AH0 - L IY0 +SPEEDING S P IY1 - D IH0 NG +SPEEDOMETER S P IY0 - D AA1 - M AH0 - T ER0 +SPEEDRING S P IY1 - D R IH2 NG +SPEEDS S P IY1 D Z +SPEEDSKATE S P IY1 D - S K EY2 T +SPEEDSKATING S P IY1 D - S K EY2 - T IH0 NG +SPEEDUP S P IY1 - D AH2 P +SPEEDWAY S P IY1 D - W EY2 +SPEEDY S P IY1 - D IY0 +SPEEGLE S P IY1 - G AH0 L +SPEELMAN S P IY1 L - M AH0 N +SPEER S P IH1 R +SPEES S P IY1 Z +SPEGAL S P IY1 - G AH0 L +SPEHAR S P EH1 - HH ER0 +SPEICH S P AY1 K +SPEICHER S P AY1 - K ER0 +SPEIDEL S P AY1 - D AH0 L +SPEIER S P AY1 - ER0 +SPEIGHT S P EY1 T +SPEIGHTS S P EY1 T S +SPEIGNER S P AY1 G - N ER0 +SPEIR S P IH1 R +SPEIRS S P IH1 R Z +SPEISER S P AY1 - Z ER0 +SPELL S P EH1 L +SPELLACY S P EH1 - L AH0 - S IY0 +SPELLBINDING S P EH1 L - B AY2 N - D IH0 NG +SPELLBOUND S P EH1 L - B AW2 N D +SPELLED S P EH1 L D +SPELLER S P EH1 - L ER0 +SPELLERS S P EH1 - L ER0 Z +SPELLING S P EH1 - L IH0 NG +SPELLING'S S P EH1 - L IH0 NG Z +SPELLINGS S P EH1 - L IH0 NG Z +SPELLMAN S P EH1 L - M AH0 N +SPELLMEYER S P EH1 L - M AY0 - ER0 +SPELLS S P EH1 L Z +SPELMAN S P EH1 L - M AH0 N +SPELTZ S P EH1 L T S +SPENCE S P EH1 N S +SPENCER S P EH1 N - S ER0 +SPENCER'S S P EH1 N - S ER0 Z +SPEND S P EH1 N D +SPENDABLE S P EH1 N - D AH0 - B AH0 L +SPENDER S P EH1 N - D ER0 +SPENDERS S P EH1 N - D ER0 Z +SPENDING S P EH1 N - D IH0 NG +SPENDLEY S P EH1 N D - L IY0 +SPENDLOVE S P EH1 N D - L AH2 V +SPENDS S P EH1 N D Z +SPENDS(2) S P EH1 N Z +SPENDTHRIFT S P EH1 N D - TH R IH2 F T +SPENGLER S P IH1 - NG AH0 L - ER0 +SPENGLER(2) S P IH1 NG - L ER0 +SPENNER S P EH1 - N ER0 +SPENO S P EH1 - N OW0 +SPENS S P EH1 N S +SPENSER S P EH1 N - S ER0 +SPENSER'S S P EH1 N - S ER0 Z +SPENSERS S P EH1 N - S ER0 Z +SPENT S P EH1 N T +SPERA S P EH1 - R AH0 +SPERANZA S P ER0 - AA1 N - Z AH0 +SPERBECK S P ER1 - B EH0 K +SPERBER S P ER1 - B ER0 +SPERDUTO S P ER0 - D UW1 - T OW0 +SPERL S P ER1 L +SPERLE S P AO1 - R AH0 L +SPERLICH S P ER1 - L IH0 K +SPERLING S P ER1 - L IH0 NG +SPERM S P ER1 M +SPERMS S P ER1 M Z +SPERO S P EH1 - R OW0 +SPEROS S P EH1 - R OW0 Z +SPERRAZZA S P ER0 - AA1 T - S AH0 +SPERRFRIST S P EH1 R - F R IH0 S T +SPERRY S P EH1 - R IY0 +SPESSARD S P EH1 - S ER0 D +SPETH S P EH1 TH +SPETHMANN S P EH1 TH - M AH0 N +SPETSNAZ S P EH1 T S - N AE0 Z +SPEVAK S P EH1 - V AH0 K +SPEW S P Y UW1 +SPEWED S P Y UW1 D +SPEWING S P Y UW1 - IH0 NG +SPEWS S P Y UW1 Z +SPEY S P EY1 +SPEYER S P EY1 - ER0 +SPEZIALE S P EH0 - Z IY0 - AA1 - L IY0 +SPEZZANO S P EH0 T - S AA1 - N OW0 +SPHAR S F AA1 R +SPHERE S F IH1 R +SPHERES S F IH1 R Z +SPHERICAL S F EH1 - R IH0 - K AH0 L +SPHEROID S F IH1 - R OY2 D +SPHINX S F IH1 NG K S +SPIC S P IH1 K +SPICE S P AY1 S +SPICED S P AY1 S T +SPICELAND S P AY1 S - L AE2 N D +SPICER S P AY1 - S ER0 +SPICES S P AY1 - S AH0 Z +SPICES(2) S P AY1 - S IH0 Z +SPICEY S P AY1 - S IY0 +SPICHER S P IH1 - CH ER0 +SPICING S P AY1 - S IH0 NG +SPICKARD S P IH1 - K ER0 D +SPICKLER S P IH1 - K L ER0 +SPICUZZA S P IY0 - K UW1 T - S AH0 +SPICY S P AY1 - S IY0 +SPIDEL S P IH1 - D AH0 L +SPIDELL S P IH1 - D AH0 L +SPIDER S P AY1 - D ER0 +SPIDERMAN S P AY1 - D ER0 - M AE0 N +SPIDERS S P AY1 - D ER0 Z +SPIDLE S P AY1 - D AH0 L +SPIE S P IY1 +SPIED S P AY1 D +SPIEGEL S P IY1 - G AH0 L +SPIEGELBERG S P IY1 - G AH0 L - B ER0 G +SPIEGELMAN S P IY1 - G AH0 L - M AH0 N +SPIEGLER S P IY1 G - L ER0 +SPIEKER S P IY1 - K ER0 +SPIEL S P IY1 L +SPIELBERG S P IY1 L - B ER0 G +SPIELBERG'S S P IY1 L - B ER0 G Z +SPIELBERGER S P IY1 L - B ER0 - G ER0 +SPIELER S P IY1 - L ER0 +SPIELMAN S P IY1 L - M AH0 N +SPIELMANN S P IY1 L - M AH0 N +SPIELVOGEL S P IY1 L - V OW2 - G AH0 L +SPIER S P AY1 - ER0 +SPIERING S P AY1 - ER0 - IH0 NG +SPIERS S P AY1 - ER0 Z +SPIES S P AY1 Z +SPIESS S P IY1 Z +SPIETH S P AY1 - AH0 TH +SPIEWAK S P IY1 - W AE2 K +SPIFFING S P IH1 - F IH0 NG +SPIFFY S P IH1 - F IY0 +SPIGHT S P AY1 T +SPIGNER S P AY1 G - N ER0 +SPIGOT S P IH1 - G AH0 T +SPIGOTS S P IH1 - G AH0 T S +SPIKE S P AY1 K +SPIKED S P AY1 K T +SPIKER S P AY1 - K ER0 +SPIKES S P AY1 K S +SPIKING S P AY1 - K IH0 NG +SPIKY S P AY1 - K IY0 +SPILDE S P IH1 L D +SPILKER S P IH1 L - K ER0 +SPILL S P IH1 L +SPILL'S S P IH1 L Z +SPILLAGE S P IH1 - L IH0 JH +SPILLANE S P IH1 - L AH0 N +SPILLED S P IH1 L D +SPILLER S P IH1 - L ER0 +SPILLERS S P IH1 - L ER0 Z +SPILLING S P IH1 - L IH0 NG +SPILLMAN S P IH1 L - M AH0 N +SPILLOVER S P IH1 L - OW2 - V ER0 +SPILLS S P IH1 L Z +SPILLWAY S P IH1 L - W EY2 +SPILMAN S P IH1 L - M AH0 N +SPILOTRO S P IH0 - L AA1 - T R OW0 +SPILT S P IH1 L T +SPIN S P IH1 N +SPINA S P IY1 - N AH0 +SPINACH S P IH1 - N AH0 CH +SPINAL S P AY1 - N AH0 L +SPINALE S P IY0 - N AA1 - L IY0 +SPINDEL S P IH1 N - D AH0 L +SPINDLE S P IH1 N - D AH0 L +SPINDLER S P IH1 N - D AH0 L - ER0 +SPINDLER(2) S P IH1 N D - L ER0 +SPINE S P AY1 N +SPINELESS S P AY1 N - L AH0 S +SPINELLA S P IH0 - N EH1 - L AH0 +SPINELLI S P IH0 - N EH1 - L IY0 +SPINELLO S P IH0 - N EH1 - L OW0 +SPINES S P AY1 N Z +SPINFIZZ S P IH1 N - F IH0 Z +SPINK S P IH1 NG K +SPINKS S P IH1 NG K S +SPINKS'S S P IH1 NG K - S IH0 Z +SPINNER S P IH1 - N ER0 +SPINNER'S S P IH1 - N ER0 Z +SPINNERS S P IH1 - N ER0 Z +SPINNEY S P IH1 - N IY0 +SPINNING S P IH1 - N IH0 NG +SPINO S P IY1 - N OW0 +SPINOFF S P IH1 N - AO2 F +SPINOFFS S P IH1 - N AO2 F S +SPINOLA S P IY0 - N OW1 - L AH0 +SPINOSA S P IY0 - N OW1 - S AH0 +SPINOZA S P IH0 - N OW1 - Z AH0 +SPINS S P IH1 N Z +SPINSTER S P IH1 N - S T ER0 +SPINY S P AY1 - N IY0 +SPIRA S P IH1 - R AH0 +SPIRAL S P AY1 - R AH0 L +SPIRALED S P AY1 - R AH0 L D +SPIRALING S P AY1 - R AH0 L - IH0 NG +SPIRALLING S P AY1 - R AH0 L - IH0 NG +SPIRALS S P AY1 - R AH0 L Z +SPIRE S P AY1 R +SPIRES S P AY1 R Z +SPIRIT S P IH1 - R AH0 T +SPIRIT(2) S P IH1 - R IH0 T +SPIRITED S P IH1 - R AH0 - T AH0 D +SPIRITED(2) S P IH1 - R IH0 - T IH0 D +SPIRITEDNESS S P IH1 - R IH0 - T IH0 D - N AH0 S +SPIRITO S P IH0 - R IY1 - T OW0 +SPIRITS S P IH1 - R AH0 T S +SPIRITS(2) S P IH1 - R IH0 T S +SPIRITUAL S P IH1 - R IH0 - CH AH0 - W AH0 L +SPIRITUAL(2) S P IH1 - R IH0 - CH W AH0 L +SPIRITUALISM S P IH1 - R IH0 - CH AH0 W - AH0 - L IH0 Z M +SPIRITUALISM(2) S P IH1 - R IH0 - CH W AH0 - L IH2 Z M +SPIRITUALIST S P IH1 - R IH0 - CH AH0 W - AH0 - L IH0 S T +SPIRITUALISTS S P IH1 - R IH0 - CH AH0 W - AH0 - L IH0 S T S +SPIRITUALISTS(2) S P IH1 - R IH0 - CH AH0 W - AH0 - L IH0 S S +SPIRITUALISTS(3) S P IH1 - R IH0 - CH AH0 W - AH0 - L IH0 S +SPIRITUALISTS(4) S P IH1 - R IH0 - CH W AH0 - L IH0 S S +SPIRITUALISTS(5) S P IH1 - R IH0 - CH W AH0 - L IH0 S +SPIRITUALITY S P IH2 - R IH0 - CH AH0 W - AE1 - L AH0 - T IY0 +SPIRITUALLY S P IH1 - R IH0 - CH AH0 W - AH0 - L IY0 +SPIRITUALS S P IH1 - R IH0 - CH AH0 - W AH0 L Z +SPIRITUALS(2) S P IH1 - R IH0 - CH W AH0 L Z +SPIRO S P IH1 - R OW0 +SPISAK S P IH1 - S AH0 K +SPIT S P IH1 T +SPITALE S P IY0 - T AA1 - L IY0 +SPITBALL S P IH1 T - B AO2 L +SPITBALL'S S P IH1 T - B AO2 L Z +SPITE S P AY1 T +SPITEFUL S P AY1 T - F AH0 L +SPITERI S P IY0 - T EH1 - R IY0 +SPITLER S P IH1 T - L ER0 +SPITS S P IH1 T S +SPITTING S P IH1 - T IH0 NG +SPITTLE S P IH1 - T AH0 L +SPITTLER S P IH1 T - L ER0 +SPITZ S P IH1 T S +SPITZER S P IH1 T - Z ER0 +SPITZLEY S P IH1 T S - L IY0 +SPITZNAGEL S P IH1 T - S N EY2 - G AH0 L +SPIVA S P IY1 - V AH0 +SPIVACK S P IH1 - V AH0 K +SPIVAK S P IH1 - V AH0 K +SPIVEY S P IH1 - V IY0 +SPIWAK S P IH1 - V AH0 K +SPIZZIRRI S P IY0 T - S IH1 - R IY0 +SPLAIN S P L EY1 N +SPLAINE S P L EY1 N +SPLASH S P L AE1 SH +SPLASHED S P L AE1 SH T +SPLASHES S P L AE1 - SH AH0 Z +SPLASHES(2) S P L AE1 - SH IH0 Z +SPLASHING S P L AE1 - SH IH0 NG +SPLASHY S P L AE1 - SH IY0 +SPLAT S P L AE1 T +SPLATTER S P L AE1 - T ER0 +SPLATTERED S P L AE1 - T ER0 D +SPLAWN S P L AO1 N +SPLEEN S P L IY1 N +SPLEISSON S P EY1 - S AH0 N +SPLENDID S P L EH1 N - D AH0 D +SPLENDID(2) S P L EH1 N - D IH0 D +SPLENDIDLY S P L EH1 N - D AH0 D - L IY0 +SPLENDOR S P L EH1 N - D ER0 +SPLENIC S P L EH1 - N IH0 K +SPLENIC(2) S P L IY1 - N IH0 K +SPLICE S P L AY1 S +SPLICED S P L AY1 S T +SPLICES S P L AY1 - S IH0 Z +SPLICHAL S P L IH1 - CH AH0 L +SPLICING S P L AY1 - S IH0 NG +SPLINT S P L IH1 N T +SPLINTER S P L IH1 N - T ER0 +SPLINTERED S P L IH1 N - T ER0 D +SPLINTERING S P L IH1 N - T ER0 - IH0 NG +SPLINTERY S P L IH1 N - T ER0 - IY0 +SPLINTS S P L IH1 N T S +SPLIT S P L IH1 T +SPLITS S P L IH1 T S +SPLITT S P L IH1 T +SPLITTING S P L IH1 - T IH0 NG +SPLURGE S P L ER1 JH +SPLURGED S P L ER1 JH D +SPLURGING S P L ER1 - JH IH0 NG +SPOCK S P AA1 K +SPODEN S P OW1 - D AH0 N +SPOELSTRA S P OW1 L - S T R AH0 +SPOERL S P AO1 R L +SPOFFORD S P AA1 - F ER0 D +SPOGLI S P AA1 G - L IY0 +SPOHN S P AA1 N +SPOHR S P AA1 R +SPOIL S P OY1 L +SPOILAGE S P OY1 - L AH0 JH +SPOILAGE(2) S P OY1 - L IH0 JH +SPOILED S P OY1 L D +SPOILER S P OY1 - L ER0 +SPOILERS S P OY1 - L ER0 Z +SPOILING S P OY1 - L IH0 NG +SPOILS S P OY1 L Z +SPOKANE S P OW0 - K AE1 N +SPOKANE(2) S P OW0 - K EY1 N +SPOKE S P OW1 K +SPOKEN S P OW1 - K AH0 N +SPOKES S P OW1 K S +SPOKESMAN S P OW1 K S - M AH0 N +SPOKESMEN S P OW1 K S - M IH0 N +SPOKESPEOPLE S P OW1 K S - P IY2 - P AH0 L +SPOKESPERSON S P OW1 K - S P ER0 - S AH0 N +SPOKESPERSONS S P OW1 K - S P ER0 - S AH0 N Z +SPOKESWOMAN S P OW1 K S - W UH2 - M AH0 N +SPOKESWOMEN S P OW1 K S - W IH2 - M AH0 N +SPOLETO S P OW0 - L EY1 - T OW0 +SPOLETTO S P OW0 - L EY1 - T OW0 +SPOLETTO'S S P OW0 - L EY1 - T OW0 Z +SPOMER S P OW1 - M ER0 +SPONAUGLE S P AA1 - N AO0 - G AH0 L +SPONG S P AO1 NG +SPONGE S P AH1 N JH +SPONGED S P AH1 N JH D +SPONGEFORM S P AH1 N JH - F AO0 R M +SPONGES S P AH1 N - JH AH0 Z +SPONGY S P AH1 N - JH IY0 +SPONSEL S P AA1 N - S AH0 L +SPONSELLER S P AA1 N - S AH0 - L ER0 +SPONSLER S P AA1 N - S AH0 - L ER0 +SPONSLER(2) S P AA1 N - S L ER0 +SPONSOR S P AA1 N - S ER0 +SPONSOR'S S P AA1 N - S ER0 Z +SPONSORED S P AA1 N - S ER0 D +SPONSORING S P AA1 N - S ER0 - IH0 NG +SPONSORS S P AA1 N - S ER0 Z +SPONSORSHIP S P AA1 N - S ER0 - SH IH2 P +SPONSORSHIPS S P AA1 N - S ER0 - SH IH2 P S +SPONTANEITY S P AA2 N - T AH0 - N IY1 - AH0 - T IY0 +SPONTANEOUS S P AA0 N - T EY1 - N IY0 - AH0 S +SPONTANEOUSLY S P AA0 N - T EY1 - N IY0 - AH0 S - L IY0 +SPOOF S P UW1 F +SPOOFED S P UW1 F T +SPOOFING S P UW1 - F IH0 NG +SPOOFS S P UW1 F S +SPOOK S P UW1 K +SPOOKED S P UW1 K T +SPOOKS S P UW1 K S +SPOOKY S P UW1 - K IY0 +SPOOL S P UW1 L +SPOON S P UW1 N +SPOONEMORE S P UW1 N - M AO0 R +SPOONER S P UW1 - N ER0 +SPOONFUL S P UW1 N - F UH2 L +SPOONS S P UW1 N Z +SPOOR S P UH1 R +SPOOR'S S P UH1 R Z +SPORADIC S P ER0 - AE1 - D IH0 K +SPORADICALLY S P ER0 - AE1 - D IH0 K - L IY0 +SPORCK S P AO1 R K +SPORE S P AO1 R +SPORER S P AO1 - R ER0 +SPORES S P AO1 R Z +SPORKIN S P AO1 R - K IH0 N +SPORKIN'S S P AO1 R - K IH0 N Z +SPORLEDER S P AO1 R - L IH0 - D ER0 +SPORN S P AO1 R N +SPOROPHYTE S P AO1 R - F AY2 T +SPOROPHYTES S P AO1 R - F AY2 T S +SPORRER S P AO1 - ER0 R +SPORT S P AO1 R T +SPORT'S S P AO1 R T S +SPORTED S P AO1 R - T IH0 D +SPORTIER S P AO1 R - T IY0 - ER0 +SPORTING S P AO1 R - T IH0 NG +SPORTINGLY S P AO1 R - T IH0 NG - L IY0 +SPORTS S P AO1 R T S +SPORTS' S P AO1 R T S +SPORTSBAR S P AO1 R T S - B AA2 R +SPORTSCASTER S P AO1 R T - S K AE2 - S T ER0 +SPORTSCASTERS S P AO1 R T - S K AE2 - S T ER0 Z +SPORTSCHANNEL S P AO1 R T S - CH AE1 - N AH0 L +SPORTSCLUB S P AO1 R T - S K L AH2 B +SPORTSMAN S P AO1 R T S - M AH0 N +SPORTSMANSHIP S P AO1 R T S - M AH0 N - SH IH2 P +SPORTSMEN S P AO1 R T S - M IH0 N +SPORTSTER S P AO1 R T - S T ER0 +SPORTSWEAR S P AO1 R T - S W EH2 R +SPORTSWRITER S P AO1 R T S - R AY2 - T ER0 +SPORTSWRITERS S P AO1 R T S - R AY2 - T ER0 Z +SPORTY S P AO1 R - T IY0 +SPOSATO S P OW0 - S AA1 - T OW0 +SPOSITO S P OW0 - S IY1 - T OW0 +SPOT S P AA1 T +SPOTLESS S P AA1 T - L AH0 S +SPOTLIGHT S P AA1 T - L AY2 T +SPOTLIGHTED S P AA1 T - L AY2 - T IH0 D +SPOTLIGHTING S P AA1 T - L AY2 - T IH0 NG +SPOTLIGHTS S P AA1 T - L AY2 T S +SPOTO S P OW1 - T OW0 +SPOTS S P AA1 T S +SPOTTED S P AA1 - T AH0 D +SPOTTED(2) S P AA1 - T IH0 D +SPOTTER S P AA1 - T ER0 +SPOTTERS S P AA1 - T ER0 Z +SPOTTING S P AA1 - T IH0 NG +SPOTTS S P AA1 T S +SPOTTY S P AA1 - T IY0 +SPOUSAL S P AW1 - Z AH0 L +SPOUSE S P AW1 S +SPOUSE'S S P AW1 - S IH0 Z +SPOUSES S P AW1 - S AH0 Z +SPOUSES(2) S P AW1 - S IH0 Z +SPOUT S P AW1 T +SPOUTED S P AW1 - T AH0 D +SPOUTING S P AW1 - T IH0 NG +SPRACKLEN S P R AE1 - K AH0 - L AH0 N +SPRADLEY S P R AE1 D - L IY0 +SPRADLIN S P R AE1 D - L IH0 N +SPRADLING S P R AE1 D - L IH0 NG +SPRAGG S P R AE1 G +SPRAGGINS S P R AE1 - G IH0 N Z +SPRAGUE S P R EY1 G +SPRAGUE'S S P R EY1 G Z +SPRAIN S P R EY1 N +SPRAINED S P R EY1 N D +SPRAINS S P R EY1 N Z +SPRAKER S P R EY1 - K ER0 +SPRANG S P R AE1 NG +SPRANGER S P R AE1 - NG ER0 +SPRANKLE S P R AE1 NG - K AH0 L +SPRATLEY S P R AE1 T - L IY0 +SPRATLIN S P R AE1 T - L IH0 N +SPRATLING S P R AE1 T - L IH0 NG +SPRATT S P R AE1 T +SPRAWL S P R AO1 L +SPRAWLED S P R AO1 L D +SPRAWLING S P R AO1 - L IH0 NG +SPRAWLS S P R AO1 L Z +SPRAY S P R EY1 +SPRAYBERRY S P R EY1 - B EH2 - R IY0 +SPRAYED S P R EY1 D +SPRAYER S P R EY1 - ER0 +SPRAYERS S P R EY1 - ER0 Z +SPRAYING S P R EY1 - IH0 NG +SPRAYS S P R EY1 Z +SPREAD S P R EH1 D +SPREADER S P R EH1 - D ER0 +SPREADING S P R EH1 - D IH0 NG +SPREADS S P R EH1 D Z +SPREADSHEET S P R EH1 D - SH IY2 T +SPREADSHEETS S P R EH1 D - SH IY2 T S +SPRECHER S P R EH1 - K ER0 +SPRECKELS S P R EH1 - K AH0 L Z +SPREE S P R IY1 +SPREEMAN S P R IY1 - M AH0 N +SPREEN S P R IY1 N +SPREES S P R IY1 Z +SPREHE S P R IY1 HH +SPREITZER S P R AY1 T - Z ER0 +SPRENG S P R EH1 NG +SPRENGER S P R EH1 N - JH ER0 +SPRENKLE S P R EH1 NG - K AH0 L +SPRICK S P R IH1 K +SPRIGG S P R IH1 G +SPRIGGED S P R IH1 G D +SPRIGGS S P R IH1 G Z +SPRIGHTLY S P R AY1 T - L IY0 +SPRING S P R IH1 NG +SPRING'S S P R IH1 NG Z +SPRING(2) S P ER0 - IH1 NG +SPRINGBOARD S P R IH1 NG - B AO2 R D +SPRINGBORN S P R IH1 NG - G B ER0 N +SPRINGDALE S P R IH1 NG - D EY2 L +SPRINGER S P R IH1 - NG ER0 +SPRINGERVILLE S P R IH1 - NG ER0 - V IH2 L +SPRINGFIELD S P R IH1 NG - F IY2 L D +SPRINGFIELD'S S P R IH1 NG - F IY2 L D Z +SPRINGING S P R IH1 - NG IH0 NG +SPRINGMAN S P R IH1 NG - M AH0 N +SPRINGS S P R IH1 NG Z +SPRINGS(2) S P ER0 - IH1 NG Z +SPRINGSTEAD S P R IH1 NG - S T EH2 D +SPRINGSTEEN S P R IH1 NG - S T IY2 N +SPRINGSTEEN'S S P R IH1 NG - S T IY2 N Z +SPRINGSTON S P R IH1 NG - S T AH0 N +SPRINGTIME S P R IH1 NG - T AY2 M +SPRINKEL S P R IH1 NG - K AH0 L +SPRINKLE S P R IH1 NG - K AH0 L +SPRINKLED S P R IH1 NG - K AH0 L D +SPRINKLER S P R IH1 NG - K L ER0 +SPRINKLER(2) S P R IH1 NG - K AH0 - L ER0 +SPRINKLERS S P R IH1 NG - K L ER0 Z +SPRINKLERS(2) S P R IH1 NG - K AH0 - L ER0 Z +SPRINKLES S P R IH1 NG - K AH0 L Z +SPRINKLING S P R IH1 NG - K L IH0 NG +SPRINKLING(2) S P R IH1 NG - K AH0 L - IH0 NG +SPRINT S P R IH1 N T +SPRINT'S S P R IH1 N T S +SPRINTED S P R IH1 N - T IH0 D +SPRINTER S P R IH1 N - T ER0 +SPRINTERS S P R IH1 N - T ER0 Z +SPRINTING S P R IH1 N - T IH0 NG +SPRINTS S P R IH1 N T S +SPRITE S P R AY1 T +SPRIZZO S P R IH1 - Z OW0 +SPROAT S P R OW1 T +SPROCK S P R AA1 K +SPROCKET S P R AA1 - K AH0 T +SPROGUS S P R OW1 - G AH0 S +SPROGUS'S S P R OW1 - G AH0 - S IH0 Z +SPROLES S P R OW1 L Z +SPRONG S P R AO1 NG +SPROTT S P R AA1 T +SPROUL S P R AW1 L +SPROULE S P R UW1 L +SPROULL S P R UW1 L +SPROULS S P R AW1 L Z +SPROUSE S P R AW1 S +SPROUT S P R AW1 T +SPROUTED S P R AW1 - T AH0 D +SPROUTED(2) S P R AW1 - T IH0 D +SPROUTING S P R AW1 - T IH0 NG +SPROUTS S P R AW1 T S +SPROW S P R AW1 +SPROWL S P R AW1 L +SPROWLE S P R AW1 - AH0 L +SPROWLS S P R AW1 L Z +SPRUCE S P R UW1 S +SPRUCED S P R UW1 S T +SPRUCING S P R UW1 - S IH0 NG +SPRUELL S P R UW1 L +SPRUIELL S P R UW1 L +SPRUILL S P R UW1 L +SPRUNG S P R AH1 NG +SPRUNGER S P R AH1 - NG ER0 +SPRY S P R AY1 +SPUD S P AH1 D +SPUD'S S P AH1 D Z +SPUDS S P AH1 D Z +SPUHLER S P UW1 - L ER0 +SPUN S P AH1 N +SPUNK S P AH1 NG K +SPUNKY S P AH1 NG - K IY0 +SPUR S P ER1 +SPURDLE S P ER1 - D AH0 L +SPURGE S P ER1 JH +SPURGEON S P ER1 - JH IH0 N +SPURGIN S P ER1 - JH IH0 N +SPURIOUS S P Y UH1 - R IY0 - AH0 S +SPURIOUS(2) S P ER1 - IY0 - AH0 S +SPURLIN S P ER1 - L IH0 N +SPURLING S P ER1 - L IH0 NG +SPURLOCK S P ER1 - L AA2 K +SPURN S P ER1 N +SPURNED S P ER1 N D +SPURNING S P ER1 - N IH0 NG +SPURNS S P ER1 N Z +SPURR S P ER1 +SPURRED S P ER1 D +SPURRIER S P ER1 - IY0 - ER0 +SPURRING S P ER1 - IH0 NG +SPURS S P ER1 Z +SPURT S P ER1 T +SPURTED S P ER1 - T IH0 D +SPURTING S P ER1 - T IH0 NG +SPURTS S P ER1 T S +SPUTNIK S P AH1 T - N IH0 K +SPUTNIKS S P AH1 T - N IH0 K S +SPUTTER S P AH1 - T ER0 +SPUTTERED S P AH1 - T ER0 D +SPUTTERING S P AH1 - T ER0 - IH0 NG +SPUTTERS S P AH1 - T ER0 Z +SPY S P AY1 +SPYCATCHER S P AY1 - K AE2 - CH ER0 +SPYCHALSKI S P IH0 - HH AA1 L S - K IY0 +SPYGLASS S P AY1 - G L AE2 S +SPYING S P AY1 - IH0 NG +SPYKER S P AY1 - K ER0 +SQUABBLE S K W AA1 - B AH0 L +SQUABBLED S K W AA1 - B AH0 L D +SQUABBLES S K W AA1 - B AH0 L Z +SQUABBLING S K W AA1 - B AH0 L - IH0 NG +SQUABBLING(2) S K W AA1 - B L IH0 NG +SQUAD S K W AA1 D +SQUAD'S S K W AA1 D Z +SQUADRON S K W AA1 - D R AH0 N +SQUADRONS S K W AA1 - D R AH0 N Z +SQUADS S K W AA1 D Z +SQUALID S K W AA1 - L AH0 D +SQUALL S K W AO1 L +SQUALLS S K W AO1 L Z +SQUALOR S K W AA1 - L ER0 +SQUANDER S K W AA1 N - D ER0 +SQUANDERED S K W AA1 N - D ER0 D +SQUANDERING S K W AA1 N - D ER0 - IH0 NG +SQUARE S K W EH1 R +SQUARED S K W EH1 R D +SQUARELY S K W EH1 R - L IY0 +SQUARES S K W EH1 R Z +SQUARING S K W EH1 - R IH0 NG +SQUASH S K W AA1 SH +SQUASHED S K W AA1 SH T +SQUASHING S K W AA1 - SH IH0 NG +SQUASHY S K W AA1 - SH IY0 +SQUAT S K W AA1 T +SQUATS S K W AA1 T S +SQUATTER S K W AA1 - T ER0 +SQUATTERS S K W AA1 - T ER0 Z +SQUATTING S K W AA1 - T IH0 NG +SQUAWK S K W AO1 K +SQUAWKING S K W AO1 - K IH0 NG +SQUAWKS S K W AO1 K S +SQUEAK S K W IY1 K +SQUEAKED S K W IY1 K T +SQUEAKER S K W IY1 - K ER0 +SQUEAKERS S K W IY1 - K ER0 Z +SQUEAKING S K W IY1 - K IH0 NG +SQUEAKS S K W IY1 K S +SQUEAKY S K W IY1 - K IY0 +SQUEAL S K W IY1 L +SQUEALING S K W IY1 - L IH0 NG +SQUEALS S K W IY1 L Z +SQUEAMISH S K W IY1 - M IH0 SH +SQUEAMISHNESS S K W IY1 - M IH0 SH - N AH0 S +SQUEEGEE S K W IY1 - JH IY0 +SQUEEZE S K W IY1 Z +SQUEEZED S K W IY1 Z D +SQUEEZES S K W IY1 - Z IH0 Z +SQUEEZING S K W IY1 - Z IH0 NG +SQUELCH S K W EH1 L CH +SQUELCHED S K W EH1 L CH T +SQUELCHING S K W EH1 L - CH IH0 NG +SQUIBB S K W IH1 B +SQUIBB'S S K W IH1 B Z +SQUID S K W IH1 D +SQUIER S K W AY1 - ER0 +SQUIERS S K W AY1 - ER0 Z +SQUIGGLE S K W IH1 - G AH0 L +SQUIGGLES S K W IH1 - G AH0 L Z +SQUILLACE S K W IH1 - L AH0 S +SQUILLANTE S K W IY0 - L AA1 N - T EY0 +SQUINT S K W IH1 N T +SQUINTING S K W IH1 N - T IH0 NG +SQUIRE S K W AY1 R +SQUIRES S K W AY1 - ER0 Z +SQUIRM S K W ER1 M +SQUIRMING S K W ER1 - M IH0 NG +SQUIRMS S K W ER1 M Z +SQUIRREL S K W ER1 - AH0 L +SQUIRRELED S K W ER1 - AH0 L D +SQUIRRELS S K W ER1 - AH0 L Z +SQUIRT S K W ER1 T +SQUIRTED S K W ER1 - T AH0 D +SQUIRTED(2) S K W ER1 - T IH0 D +SQUIRTING S K W ER1 - T IH0 NG +SQUIRTS S K W ER1 T S +SQUISHY S K W IH1 - SH IY0 +SQUITIERI S K W IY0 - T IH1 - R IY0 +SQUYRES S K W AY1 R Z +SR S IY1 - N Y ER0 +SR(2) S IH1 - S T ER0 +SRADER SH R EY1 - D ER0 +SRAM SH R AE1 M +SRAM(2) EH1 - S R AE1 M +SRAMEK SH R AE1 - M IH0 K +SRDAN S ER1 - D AE2 N +SREBRENICA S R EY2 - B R EH0 - N IY1 T - S AH0 +SREBRENICA'S S R EY2 - B R EH0 - N IY1 T - S AH0 Z +SREBRENICA'S(2) SH R EY2 - B R AH0 - N IY1 T - S AH0 Z +SREBRENICA(2) SH R EY2 - B R AH0 - N IY1 T - S AH0 +SREMAC S R IY1 - M AE2 K +SRI SH R IY1 +SRI(2) EH1 - S AA1 - R AY1 +SRI(3) S R IY1 +SRI-LANKA S R IY1 - L AE1 NG - K AH0 +SRI-LANKA(2) SH R IY1 - L AE1 NG - K AH0 +SRINAGAR S R IY1 - N AH0 - G AA2 R +SRINAGAR(2) SH R IY1 - N AH0 - G AA2 R +SRINAGARB S R IY1 - N AH0 - G AA2 R B +SRINAGARB(2) SH R IY1 - N AH0 - G AA2 R B +SRINIVAS S R IY1 - N IH0 - V AA2 S +SRINIVASAN S R IY0 - N IY0 - V AA0 - S AA1 N +SRINIVASAN(2) SH R IY0 - N IY0 - V AA0 - S AA1 N +SRIRAM S R IY1 - R AA2 M +SRIRAM(2) SH R IY1 - R AA2 M +SRIVASTAVA S R IY0 - V AA0 - S T AA1 - V AH0 +SRIVASTAVA(2) SH R IY0 - V AA0 - S T AA1 - V AH0 +SROCK SH R AA1 K +SROGE SH R OW1 G +SROKA SH R OW1 - K AH0 +SROUFE SH R OW1 F +SSANGYONG S AE1 NG - Y AO2 NG +ST S T R IY1 T +ST(2) S EY1 N T +ST-JAMES S EY1 N T - JH EY1 M Z +ST-JOHNS S EY1 N T - JH AA1 N Z +STA S T AH1 +STA(2) EH1 - S T IY1 - EY1 +STAAB S T AA1 B +STAACK S T AA1 K +STAAL S T AA1 L +STAAR S T AA1 R +STAAR'S S T AA1 R Z +STAAS S T AA1 Z +STAAT S T AA1 T +STAATS S T AA1 T S +STAB S T AE1 B +STABBED S T AE1 B D +STABBING S T AE1 - B IH0 NG +STABBINGS S T AE1 - B IH0 NG Z +STABENOW S T AE1 - B IH0 - N OW0 +STABILE S T EY1 - B IH0 L +STABILITY S T AH0 - B IH1 - L IH0 - T IY0 +STABILIZATION S T EY2 - B AH0 - L AH0 - Z EY1 - SH AH0 N +STABILIZE S T EY1 - B AH0 - L AY2 Z +STABILIZED S T EY1 - B AH0 - L AY2 Z D +STABILIZER S T EY1 - B AH0 - L AY2 - Z ER0 +STABILIZERS S T EY1 - B AH0 - L AY2 - Z ER0 Z +STABILIZES S T EY1 - B AH0 - L AY2 - Z AH0 Z +STABILIZES(2) S T EY1 - B AH0 - L AY2 - Z IH0 Z +STABILIZING S T EY1 - B AH0 - L AY2 - Z IH0 NG +STABLE S T EY1 - B AH0 L +STABLER S T EY1 - B AH0 L - ER0 +STABLER(2) S T EY1 - B L ER0 +STABLES S T EY1 - B AH0 L Z +STABLEST S T EY1 - B AH0 - L AH0 S T +STABLEY S T AE1 - B L IY0 +STABS S T AE1 B Z +STAC S T AE1 K +STAC'S S T AE1 K S +STACCATO S T AH0 - K AA1 - T OW2 +STACEY S T EY1 - S IY0 +STACH S T AE1 CH +STACHNIK S T AE1 K - N IH0 K +STACHOWIAK S T AH0 - HH AW1 - IY0 - AE0 K +STACHOWICZ S T AA1 - HH AH0 - V IH0 CH +STACHOWSKI S T AH0 - HH AO1 F S - K IY0 +STACHURA S T AA0 - K UH1 - R AH0 +STACHURSKI S T AH0 - HH ER1 S - K IY0 +STACIA S T AA1 - CH AH0 +STACIE S T AE1 - K IY0 +STACK S T AE1 K +STACKED S T AE1 K T +STACKER S T AE1 - K ER0 +STACKHOUSE S T AE1 K - HH AW2 S +STACKING S T AE1 - K IH0 NG +STACKPOLE S T AE1 K - P OW2 L +STACKS S T AE1 K S +STACY S T EY1 - S IY0 +STADE S T EY1 D +STADEL S T AE1 - D AH0 L +STADELMAN S T AE1 - D AH0 L - M AH0 N +STADER S T EY1 - D ER0 +STADIA S T EY1 - D IY0 - AH0 +STADIUM S T EY1 - D IY0 - AH0 M +STADIUM'S S T EY1 - D IY0 - AH0 M Z +STADIUMS S T EY1 - D IY0 - AH0 M Z +STADLER S T AE1 D - L ER0 +STADNIK S T AE1 D - N IH0 K +STADT S T AE1 D T +STADTLANDER SH T AE1 T - L AE2 N - D ER0 +STADTMILLER SH T AE1 T - M IH1 - L ER0 +STAEBELL S T EH1 - B EH0 L +STAEBLER S T EY1 - L ER0 +STAEHLE S T EY1 L +STAFF S T AE1 F +STAFF'S S T AE1 F S +STAFFA S T AA1 - F AH0 +STAFFED S T AE1 F T +STAFFER S T AE1 - F ER0 +STAFFERS S T AE1 - F ER0 Z +STAFFIERI S T AA0 - F IH1 - R IY0 +STAFFING S T AE1 - F IH0 NG +STAFFORD S T AE1 - F ER0 D +STAFFORD'S S T AE1 - F ER0 D Z +STAFFORDSHIRE S T AE1 - F ER0 D - SH ER0 +STAFFORDSHIRE'S S T AE1 - F ER0 D - SH ER0 Z +STAFFORDSHIRE'S(2) S T AE1 - F ER0 D - SH AY2 - ER0 Z +STAFFORDSHIRE(2) S T AE1 - F ER0 D - SH AY2 - ER0 +STAFFS S T AE1 F S +STAG S T AE1 G +STAGE S T EY1 JH +STAGECOACH S T EY1 JH - K OW2 CH +STAGECRAFT S T EY1 JH - K R AE2 F T +STAGED S T EY1 JH D +STAGEHAND S T EY1 JH - HH AE2 N D +STAGEHANDS S T EY1 JH - HH AE2 N D Z +STAGER S T EY1 - JH ER0 +STAGES S T EY1 - JH AH0 Z +STAGES(2) S T EY1 - JH IH0 Z +STAGFLATE S T AE2 G - F L EY1 T +STAGFLATION S T AE0 G - F L EY1 - SH AH0 N +STAGG S T AE1 G +STAGGER S T AE1 - G ER0 +STAGGERED S T AE1 - G ER0 D +STAGGERING S T AE1 - G ER0 - IH0 NG +STAGGERS S T AE1 - G ER0 Z +STAGGS S T AE1 G Z +STAGING S T EY1 - JH IH0 NG +STAGLIANO S T AA0 G - L IY0 - AA1 - N OW0 +STAGNANT S T AE1 G - N AH0 N T +STAGNARO S T AA0 G - N AA1 - R OW0 +STAGNATE S T AE1 G - N EY2 T +STAGNATED S T AE1 G - N EY2 - T IH0 D +STAGNATING S T AE1 G - N EY2 - T IH0 NG +STAGNATION S T AE0 G - N EY1 - SH AH0 N +STAGNER S T AE1 G - N ER0 +STAHL S T AA1 L +STAHLBERG S T AA1 L - B ER0 G +STAHLE S T EY1 - HH AH0 L +STAHLECKER S T AA1 - L IH0 - K ER0 +STAHLER S T AA1 - L ER0 +STAHLEY S T AE1 - L IY0 +STAHLHUT S T AA1 L - HH AH0 T +STAHLMAN S T AA1 L - M AH0 N +STAHLY S T AE1 - L IY0 +STAHMER S T AA1 - M ER0 +STAHNKE S T AE1 NG K +STAHR S T AE1 R +STAI S T AA1 - IY0 +STAIB S T EY1 B +STAID S T EY1 D +STAIGER S T AY1 - G ER0 +STAILEY S T EY1 - L IY0 +STAIN S T EY1 N +STAINBACK S T EY1 N - B AE2 K +STAINBROOK S T EY1 N - B R UH2 K +STAINED S T EY1 N D +STAINES S T EY1 N Z +STAINING S T EY1 - N IH0 NG +STAINLESS S T EY1 N - L AH0 S +STAINMASTER S T EY1 N - M AE2 - S T ER0 +STAINS S T EY1 N Z +STAIR S T EH1 R +STAIRCASE S T EH1 R - K EY2 S +STAIRCASES S T EH1 R - K EY2 - S IH0 Z +STAIRS S T EH1 R Z +STAIRWAY S T EH1 R - W EY2 +STAIRWAYS S T EH1 R - W EY2 Z +STAIRWELL S T EH1 R - W EH2 L +STAIRWELLS S T EH1 R - W EH2 L Z +STAKE S T EY1 K +STAKE'S S T EY1 K S +STAKE-OUT S T EY1 K - AW1 T +STAKED S T EY1 K T +STAKEHOLDER S T EY1 K - HH OW2 L - D ER0 +STAKEHOLDERS S T EY1 K - HH OW2 L - D ER0 Z +STAKEOUT S T EY1 K - AW2 T +STAKEOUTS S T EY1 K - AW2 T S +STAKER S T EY1 - K ER0 +STAKES S T EY1 K S +STAKING S T EY1 - K IH0 NG +STALCUP S T AO1 L K - AH2 P +STALDER S T AO1 L - D ER0 +STALE S T EY1 L +STALEMATE S T EY1 L - M EY2 T +STALEMATED S T EY1 L - M EY2 - T IH0 D +STALEY S T EY1 - L IY0 +STALEY'S S T EY1 - L IY0 Z +STALIN S T AA1 - L AH0 N +STALIN'S S T AA1 - L IH0 N Z +STALINGRAD S T AE1 - L IH0 N - G R AE2 D +STALINISM S T AE1 - L IH0 - N IH2 - Z AH0 M +STALINIST S T AA1 - L IH0 - N IH0 S T +STALINISTIC S T AA2 - L IH0 - N IH1 - S T IH0 K +STALINISTS S T AE1 - L IH0 - N IH0 S T S +STALINISTS(2) S T AE1 - L IH0 - N IH0 S S +STALINISTS(3) S T AE1 - L IH0 - N IH0 S +STALINIZATION S T AE2 - L IH0 - N IH0 - Z EY1 - SH AH0 N +STALINIZE S T AE1 - L IH0 - N AY2 Z +STALK S T AO1 K +STALKED S T AO1 K T +STALKER S T AO1 - K ER0 +STALKERS S T AO1 - K ER0 Z +STALKING S T AO1 - K IH0 NG +STALKS S T AO1 K S +STALKY S T AO1 - K IY0 +STALL S T AO1 L +STALLARD S T AE1 - L ER0 D +STALLCUP S T AO1 L K - AH2 P +STALLED S T AO1 L D +STALLER S T AO1 - L ER0 +STALLIBRASS S T AE1 - L IH0 - B R AE0 S +STALLING S T AO1 - L IH0 NG +STALLINGS S T AO1 - L IH0 NG Z +STALLION S T AE1 - L Y AH0 N +STALLIONS S T AE1 - L Y AH0 N Z +STALLKAMP S T AO1 L - K AE2 M P +STALLMAN S T AO1 L - M AH0 N +STALLONE S T AH0 - L OW1 N +STALLONE'S S T AH0 - L OW1 N Z +STALLS S T AO1 L Z +STALLSMITH S T AO1 L - S M IH2 TH +STALLWORTH S T AO1 L - W ER2 TH +STALNAKER S T AE1 L - N AH0 - K ER0 +STALOFF S T AE1 - L AO0 F +STALON S T EY1 - L AH0 N +STALOWA S T AH0 - L OW1 - AH0 +STALTER S T AO1 L - T ER0 +STALVEY S T AE1 L - V IY0 +STALWART S T AO1 L - W ER0 T +STALWARTS S T AO1 L - W ER0 T S +STALZER S T EY1 L - Z ER0 +STAM S T AE1 M +STAMAND S T AE1 - M AH0 N D +STAMANT S T AE1 - M AH0 N T +STAMAS S T AA1 - M AH0 Z +STAMATY S T AE1 - M AH0 - T IY0 +STAMBAUGH S T AE1 M - B AO0 +STAMBERG S T AE1 M - B ER0 G +STAMENSON S T EY1 - M AH0 N - S AH0 N +STAMER S T EY1 - M ER0 +STAMEY S T EY1 - M IY0 +STAMFORD S T AE1 M - F ER0 D +STAMINA S T AE1 - M AH0 - N AH0 +STAMLER S T AE1 M - L ER0 +STAMM S T AE1 M +STAMMEN S T AE1 - M AH0 N +STAMMER S T AE1 - M ER0 +STAMOS S T EY1 - M OW0 Z +STAMOUR S T AH0 - M UH1 R +STAMP S T AE1 M P +STAMPED S T AE1 M P T +STAMPEDE S T AE0 M - P IY1 D +STAMPEDED S T AE0 M - P IY1 - D AH0 D +STAMPEDED(2) S T AE0 M - P IY1 - D IH0 D +STAMPEDING S T AE0 M - P IY1 - D IH0 NG +STAMPER S T AE1 M - P ER0 +STAMPFLI S T AE1 M P F - L IY0 +STAMPING S T AE1 M - P IH0 NG +STAMPINGS S T AE1 M - P IH0 NG Z +STAMPLEY S T AE1 M - P L IY0 +STAMPS S T AE1 M P S +STAN S T AE1 N +STAN'S S T AE1 N Z +STANADYNE S T AE1 - N AH0 - D AY2 N +STANALAND S T AE1 - N AH0 - L AH0 N D +STANARD S T AE1 - N ER0 D +STANAWAY S T AE1 N - AH0 - W EY0 +STANBACK S T AE1 N - B AE2 K +STANBERRY S T AE1 N - B EH2 - R IY0 +STANBERY S T AE1 N - B ER0 - IY0 +STANBIC S T AE1 N - B IH0 K +STANBROUGH S T AE1 N - B R AW0 +STANBURY S T AE1 N - B EH2 - R IY0 +STANCE S T AE1 N S +STANCES S T AE1 N - S IH0 Z +STANCH S T AE1 N CH +STANCHED S T AE1 N CH T +STANCHFIELD S T AE1 N CH - F IY0 L D +STANCHING S T AE1 N - CH IH0 NG +STANCIK S T AE1 N - S IH0 K +STANCIL S T AE1 N - S IH0 L +STANCILL S T AE1 N - S IH0 L +STANCLIFF S T AE1 N - K L IH0 F +STANCO S T AE1 NG - K OW0 +STANCZAK S T AE1 N - CH AE0 K +STANCZYK S T AE1 N - CH IH0 K +STAND S T AE1 N D +STANDA S T AE1 N - D AH0 +STANDARD S T AE1 N - D ER0 D +STANDARD'S S T AE1 N - D ER0 D Z +STANDARD-BEARER S T AE1 N - D ER0 D - B EH1 - R ER0 +STANDARD-BEARERS S T AE1 N - D ER0 D - B EH1 - R ER0 Z +STANDARDIZATION S T AE0 N - D ER0 - D IH0 - Z EY1 - SH AH0 N +STANDARDIZE S T AE1 N - D ER0 - D AY2 Z +STANDARDIZED S T AE1 N - D ER0 - D AY2 Z D +STANDARDIZING S T AE1 N - D ER0 - D AY2 - Z IH0 NG +STANDARDS S T AE1 N - D ER0 D Z +STANDBY S T AE1 N D - B AY1 +STANDBYS S T AE1 N D - B AY2 Z +STANDEFER S T AE1 N - D IH0 - F ER0 +STANDEN S T AE1 N - D AH0 N +STANDER S T AE1 N - D ER0 +STANDERFER S T AE1 N - D ER0 - F ER0 +STANDERFORD S T AE1 N - D ER0 - F ER0 D +STANDEX S T AE1 N - D AH0 K S +STANDFIELD S T AE1 N D - F IY2 L D +STANDIFER S T AE1 N - D IH0 - F ER0 +STANDIFORD S T AE1 N - D IH0 - F ER0 D +STANDIN' S T AE1 N - D IH0 N +STANDING S T AE1 N - D IH0 NG +STANDINGS S T AE1 N - D IH0 NG Z +STANDISH S T AE1 N - D IH0 SH +STANDLEE S T AE1 N D - L IY2 +STANDLEY S T AE1 N D - L IY0 +STANDOFF S T AE1 N - D AO2 F +STANDOFFS S T AE1 N - D AO2 F S +STANDOUT S T AE1 N D - AW2 T +STANDOUTS S T AE1 N D - AW2 T S +STANDPOINT S T AE1 N D - P OY2 N T +STANDPOINTS S T AE1 N D - P OY2 N T S +STANDRE S T AE1 N - D ER0 +STANDRIDGE S T AE1 N - D R IH0 JH +STANDS S T AE1 N D Z +STANDSTILL S T AE1 N D - S T IH2 L +STANDUP S T AE1 N D - AH2 P +STANEK S T AE1 - N IH0 K +STANFIELD S T AE1 N - F IY2 L D +STANFILL S T AE1 N - F AH0 L +STANFORD S T AE1 N - F ER0 D +STANFORD'S S T AE1 N - F ER0 D Z +STANFORTH S T AE1 N - F ER0 TH +STANG S T AE1 NG +STANGA S T AA1 NG - G AH0 +STANGE S T AE1 N JH +STANGEL S T EY1 NG - G AH0 L +STANGELAND S T EY1 NG - G IH0 - L AH0 N D +STANGELAND(2) S T EY1 NG - G L AH0 N D +STANGELO S T AA0 NG - G EH1 - L OW0 +STANGER S T AE1 - NG ER0 +STANGL S T AE1 NG - G AH0 L +STANGLAND S T AE1 NG - G L AH0 N D +STANGLE S T AE1 NG - G AH0 L +STANGLER S T AE1 NG - G AH0 - L ER0 +STANGLER(2) S T AE1 NG - G L ER0 +STANGO S T AA1 NG - G OW0 +STANHOPE S T AE1 - N AH0 P +STANIAR S T EY1 - N IY0 - AA0 R +STANICH S T AE1 - N IH0 CH +STANIFER S T AE1 - N IH0 - F ER0 +STANIS S T AE1 - N IH0 S +STANISH S T AE1 - N IH0 SH +STANISLAS S T AH0 - N IH1 S - L AH0 S +STANISLAV S T AE1 - N IH0 - S L AA0 V +STANISLAW S T AE1 - N IH0 S - L AO2 +STANISLAWSKI S T AH0 - N IH0 S - L AA1 F S - K IY0 +STANISZEWSKI S T AH0 - N IH0 - SH EH1 F S - K IY0 +STANK S T AE1 NG K +STANKE S T AE1 NG K +STANKEVICH S T AE1 NG - K AH0 - V IH2 CH +STANKEY S T AE1 NG - K IY0 +STANKIEWICZ S T AE1 N - K AH0 - V IH0 CH +STANKO S T AE1 NG - K OW0 +STANKOVICH S T AE1 NG - K AH0 - V IH0 CH +STANKOWSKI S T AH0 NG - K AO1 F S - K IY0 +STANKUS S T AE1 NG - K AH0 S +STANLEIGH S T AE1 N - L AH0 +STANLEY S T AE1 N - L IY0 +STANLEY'S S T AE1 N - L IY0 Z +STANLEYTOWN S T AE1 N - L IY0 - T AW2 N +STANLINE S T AE1 N - L AY2 N +STANLY S T AE1 N - L IY0 +STANMORE S T AE1 N - M AO0 R +STANN S T AE1 N +STANNARD S T AE1 - N ER0 D +STANNIE S T AE1 - N IY0 +STANO S T AA1 - N OW0 +STANPHILL S T AE1 N P - HH IH2 L +STANPHILL(2) S T AE1 M P - HH IH2 L +STANSBERRY S T AE1 N S - B EH2 - R IY0 +STANSBURY S T AE1 N S - B EH0 - R IY0 +STANSEL S T AE1 N - S AH0 L +STANSELL S T AE1 N - S AH0 L +STANSFIELD S T AE1 N S - F IY0 L D +STANSKY S T AE1 N S - K IY0 +STANT S T AE1 N T +STANTON S T AE1 N - T AH0 N +STANWAY S T AE1 N - W EY2 +STANWICK S T AE1 N - W IH0 K +STANWOOD S T AE1 N - W UH2 D +STANZA S T AE1 N - Z AH0 +STANZAS S T AE1 N - Z AH0 Z +STANZIONE S T AA0 N - Z IY0 - OW1 - N IY0 +STAPEL S T AE1 - P AH0 L +STAPF S T AE1 P F +STAPLE S T EY1 - P AH0 L +STAPLED S T EY1 - P AH0 L D +STAPLER S T EY1 - P AH0 - L ER0 +STAPLER(2) S T EY1 P - L ER0 +STAPLERS S T EY1 - P AH0 - L ER0 Z +STAPLERS(2) S T EY1 P - L ER0 Z +STAPLES S T EY1 - P AH0 L Z +STAPLETON S T EY1 - P AH0 L - T AH0 N +STAPLEY S T AE1 P - L IY0 +STAPLING S T EY1 - P AH0 L - IH0 NG +STAPLING(2) S T EY1 - P L IH0 NG +STAPP S T AE1 P +STAR S T AA1 R +STAR'S S T AA1 R Z +STARACE S T AA0 - R AA1 - CH IY0 +STARBIRD S T AA1 R - B ER2 D +STARBOARD S T AA1 R - B ER0 D +STARBOARDS S T AA1 R - B ER0 R D Z +STARBOARDS(2) S T AA1 R - B AO2 R D Z +STARBUCK S T AA1 R - B AH2 K +STARBUCK'S S T AA1 R - B AH2 K S +STARBUCKS S T AA1 R - B AH2 K S +STARCEVICH S T AA1 R - S IH0 - V IH0 CH +STARCH S T AA1 R CH +STARCHED S T AA1 R CH T +STARCHER S T AA1 R - CH ER0 +STARCHES S T AA1 R - CH IH0 Z +STARCHLIKE S T AA1 R CH - L AY2 K +STARCHY S T AA1 R - CH IY0 +STARCK S T AA1 R K +STARCKMANN S T AA1 R K - M AH0 N +STARCRAFT S T AA1 R - K R AE2 F T +STARCROSS S T AA1 R - K R AO2 S +STARDEL S T AA1 R - D EH2 L +STARDENT S T AA1 R - D EH2 N T +STARDOM S T AA1 R - D AH0 M +STARDUST S T AA1 R - D AH2 S T +STARE S T EH1 R +STARED S T EH1 R D +STARER S T EH1 - R ER0 +STARES S T EH1 R Z +STARFISH S T AA1 R - F IH2 SH +STARGATE S T AA1 R - G EY2 T +STARGATES S T AA1 R - G EY2 T S +STARGAZER S T AA1 R - G EY2 - Z ER0 +STARGAZERS S T AA1 R - G EY2 - Z ER0 Z +STARIN S T AE1 - R IH0 N +STARING S T EH1 - R IH0 NG +STARK S T AA1 R K +STARK'S S T AA1 R K S +STARKE S T AA1 R K +STARKEL S T AA1 R - K AH0 L +STARKER S T AA1 R - K ER0 +STARKES S T AA1 R K S +STARKEY S T AA1 R - K IY2 +STARKIST S T AA1 R - K IH0 S T +STARKLY S T AA1 R K - L IY0 +STARKMAN S T AA1 R K - M AH0 N +STARKNESS S T AA1 R K - N IH0 S +STARKOVICH S T AA1 R - K AH0 - V IH0 CH +STARKS S T AA1 R K S +STARKWEATHER S T AA1 R K - W EH2 - DH ER0 +STARLET S T AA1 R - L AH0 T +STARLETS S T AA1 R - L AH0 T S +STARLIGHT S T AA1 R - L AY2 T +STARLIKE S T AA1 R - L AY2 K +STARLIN S T AA1 R - L IH0 N +STARLING S T AA1 R - L IH0 NG +STARLIPER S T AA1 R - L IH0 - P ER0 +STARLIT S T AA1 R - L IH0 T +STARMAN S T AA1 R - M AH0 N +STARMER S T AA1 R - M ER0 +STARN S T AA1 R N +STARNER S T AA1 R - N ER0 +STARNES S T AA1 R N Z +STARNS S T AA1 R N Z +STARODUBSTEV S T AA2 - R OW0 - D AH1 B - S T EH0 V +STARON S T AE1 - R AH0 N +STARPLEX S T AA1 R - P L EH2 K S +STARPOINTE S T AA1 R - P OY2 N T +STARR S T AA1 R +STARR'S S T AA1 R Z +STARRED S T AA1 R D +STARRETT S T AE1 - R IH0 T +STARRING S T AA1 - R IH0 NG +STARRS S T AA1 R Z +STARRY S T AA1 - R IY0 +STARS S T AA1 R Z +STARS' S T AA1 R Z +STARSHIP S T AA1 R - SH IH2 P +STARSIGHT S T AA1 R - S AY2 T +STARSTREAM S T AA1 R - S T R IY2 M +STARSTRUCK S T AA1 R - S T R AH2 K +START S T AA1 R T +START-UP S T AA1 R T - AH2 P +START-UPS S T AA1 R T - AH1 P S +STARTED S T AA1 R - T AH0 D +STARTED(2) S T AA1 R - T IH0 D +STARTER S T AA1 R - T ER0 +STARTERS S T AA1 R - T ER0 Z +STARTING S T AA1 R - T IH0 NG +STARTLE S T AA1 R - T AH0 L +STARTLED S T AA1 R - T AH0 L D +STARTLES S T AA1 R - T AH0 L Z +STARTLING S T AA1 R T - L IH0 NG +STARTLINGLY S T AA1 R T - L IH0 NG - L IY0 +STARTS S T AA1 R T S +STARTUP S T AA1 R T - AH2 P +STARTUPS S T AA1 R T - AH2 P S +STARVATION S T AA0 R - V EY1 - SH AH0 N +STARVE S T AA1 R V +STARVED S T AA1 R V D +STARVING S T AA1 R - V IH0 NG +STARWALT S T AA1 R - W AH0 L T +STARWAVE S T AA1 R - W EY2 V +STARY S T EH1 - R IY0 +STARZYK S T AA1 R - Z IH0 K +STASH S T AE1 SH +STASHED S T AE1 SH T +STASHING S T AE1 - SH IH0 NG +STASI S T AA1 - S IY0 +STASIAK S T AA1 - S IY0 - AE0 K +STASIK S T AA1 - S IH0 K +STASIO S T AA1 - S IY0 - OW0 +STASKO S T AA1 - S K OW0 +STASNEY S T AE1 S - N IY0 +STASNY S T AE1 S - N IY0 +STASSEN S T AE1 - S AH0 N +STASSI S T AE1 - S IY0 +STASTNY S T AE1 S T - N IY0 +STASZAK S T AA1 - SH AH0 K +STASZEWSKI S T AH0 - SH EH1 F S - K IY0 +STAT S T AE1 T +STATE S T EY1 T +STATE'S S T EY1 T S +STATECRAFT S T EY1 T - K R AE2 F T +STATED S T EY1 - T AH0 D +STATED(2) S T EY1 - T IH0 D +STATEHOOD S T EY1 T - HH UH2 D +STATEHOUSE S T EY1 T - HH AW2 S +STATEHOUSES S T EY1 T - HH AW2 - S IH0 Z +STATELESS S T EY1 T - L IH0 S +STATELY S T EY1 T - L IY0 +STATEMENT S T EY1 T - M AH0 N T +STATEMENT'S S T EY1 T - M AH0 N T S +STATEMENTS S T EY1 T - M AH0 N T S +STATEN S T AE1 - T AH0 N +STATER S T EY1 - T ER0 +STATER'S S T EY1 - T ER0 Z +STATERS S T EY1 - T ER0 Z +STATES S T EY1 T S +STATES' S T EY1 T S +STATESBOROUGH S T EY1 T S - B AH0 - R OW0 +STATESIDE S T EY1 T - S AY1 D +STATESMAN S T EY1 T S - M AH0 N +STATESMAN'S S T EY1 T S - M AH0 N Z +STATESMANLIKE S T AH0 - T EH1 S - M AH0 N - L AY2 K +STATESMANSHIP S T EY1 T S - M AH0 N - SH IH2 P +STATESMEN S T EY1 T S - M IH0 N +STATESWEST S T EY2 T - S W EH1 S T +STATEWIDE S T EY1 T - W AY2 D +STATHAM S T AE1 - TH AH0 M +STATHIS S T AE1 - TH IH0 S +STATHOPOULOS S T AH0 - TH AA1 - P AH0 - L IH0 S +STATIC S T AE1 - T IH0 K +STATING S T EY1 - T IH0 NG +STATION S T EY1 - SH AH0 N +STATION'S S T EY1 - SH AH0 N Z +STATIONARY S T EY1 - SH AH0 N - EH2 - R IY0 +STATIONED S T EY1 - SH AH0 N D +STATIONER S T EY1 - SH AH0 N - ER0 +STATIONERS S T EY1 - SH AH0 N - ER0 Z +STATIONERY S T EY1 - SH AH0 N - EH2 - R IY0 +STATIONING S T EY1 - SH AH0 N - IH0 NG +STATIONS S T EY1 - SH AH0 N Z +STATIONS' S T EY1 - SH AH0 N Z +STATISM S T EY1 - T IH2 - Z AH0 M +STATIST S T EY1 - T IH0 S T +STATISTIC S T AH0 - T IH1 - S T IH0 K +STATISTICAL S T AH0 - T IH1 - S T IH0 - K AH0 L +STATISTICALLY S T AH0 - T IH1 - S T IH0 - K AH0 - L IY0 +STATISTICALLY(2) S T AH0 - T IH1 - S T IH0 K - L IY0 +STATISTICIAN S T AE2 - T AH0 - S T IH1 - SH AH0 N +STATISTICIANS S T AE2 - T IH0 - S T IH1 - SH AH0 N Z +STATISTICS S T AH0 - T IH1 - S T IH0 K S +STATISTICS' S T AH0 - T IH1 - S T IH0 K S +STATISTS S T EY1 - T IH0 S T S +STATISTS(2) S T EY1 - T IH0 S S +STATISTS(3) S T EY1 - T IH0 S +STATLER S T AE1 T - L ER0 +STATOIL S T AH0 - T OY1 L +STATON S T AE1 - T AH0 N +STATS S T AE1 T S +STATTIN S T AE1 - T IH0 N +STATTON S T AE1 - T AH0 N +STATUARY S T AE1 - CH UW0 - EH2 - R IY0 +STATUE S T AE1 - CH UW2 +STATUES S T AE1 - CH UW2 Z +STATUESQUE S T AE2 - CH UW0 - EH1 S K +STATUETTE S T AE2 - CH UW0 - EH1 T +STATUETTES S T AE2 - CH UW0 - EH1 T S +STATUM S T AE1 - T AH0 M +STATURE S T AE1 - CH ER0 +STATUS S T AE1 - T AH0 S +STATUS(2) S T EY1 - T AH0 S +STATUTE S T AE1 - CH UW0 T +STATUTE'S S T AE1 - CH UW0 T S +STATUTES S T AE1 - CH UW0 T S +STATUTORILY S T AE1 - CH AH0 - T AO2 - R AH0 - L IY0 +STATUTORILY(2) S T AE1 - CH Y UW0 - T AO2 - R AH0 - L IY0 +STATUTORY S T AE1 - CH AH0 - T AO2 - R IY0 +STATZ S T AE1 T S +STATZER S T AE1 T - Z ER0 +STATZER(2) S T EY1 T - Z ER0 +STAUB S T AO1 B +STAUBER S T AW1 - B ER0 +STAUBIN S T AW1 - B IH0 N +STAUBS S T AO1 B Z +STAUCH S T AO1 CH +STAUDACHER S T AW1 - D AH0 - K ER0 +STAUDE S T AO1 D +STAUDER S T AW1 - D ER0 +STAUDINGER S T AW1 - D IH0 - NG ER0 +STAUDT S T AO1 D T +STAUFF S T AO1 F +STAUFFACHER S T AW1 - F AH0 - K ER0 +STAUFFER S T AO1 - F ER0 +STAUFFER'S S T AO1 - F ER0 Z +STAUNCH S T AO1 N CH +STAUNCHEST S T AO1 N - CH AH0 S T +STAUNCHLY S T AO1 N CH - L IY0 +STAUNTON S T AO1 N - T AH0 N +STAUP S T AO1 P +STAUSS S T AO1 S +STAUTER S T AW1 - T ER0 +STAVE S T EY1 V +STAVED S T EY1 V D +STAVELY S T EY1 V - L IY0 +STAVER S T EY1 - V ER0 +STAVES S T EY1 V Z +STAVING S T EY1 - V IH0 NG +STAVINOHA S T AE0 - V IH0 - N OW1 - HH AH0 +STAVOLA S T AA0 - V OW1 - L AH0 +STAVROPOULOS S T AH0 - V R AA1 - P AH0 - L IH0 S +STAVROS S T AH0 - V R OW1 Z +STAWICKI S T AA0 - V IH1 T S - K IY0 +STAWSKI S T AA1 F S - K IY0 +STAY S T EY1 +STAYED S T EY1 D +STAYER S T EY1 - ER0 +STAYING S T EY1 - IH0 NG +STAYNER S T EY1 - N ER0 +STAYOVER S T EY1 - OW2 - V ER0 +STAYOVERS S T EY1 - OW2 - V ER0 Z +STAYS S T EY1 Z +STAYTON S T EY1 - T AH0 N +STDS EH1 - S T IY1 - D IY1 Z +STDS(2) EH1 - S T IY1 - D IY1 - EH1 S +STEAD S T EH1 D +STEADFAST S T EH1 D - F AE2 S T +STEADFASTLY S T EH1 D - F AE2 S T - L IY0 +STEADFASTNESS S T EH1 D - F AE2 S T - N AH0 S +STEADHAM S T EH1 D - HH AH0 M +STEADIED S T EH1 - D IY0 D +STEADIER S T EH1 - D IY0 - ER0 +STEADILY S T EH1 - D AH0 - L IY0 +STEADINESS S T EH1 - D IY0 - N IH0 S +STEADMAN S T EH1 D - M AH0 N +STEADY S T EH1 - D IY0 +STEAGALL S T IY1 - G AH0 L +STEAGLE S T IY1 - G AH0 L +STEAK S T EY1 K +STEAKHOUSE S T EY1 K - HH AW2 S +STEAKHOUSES S T EY1 K - HH AW2 - S IH0 Z +STEAKLEY S T IY1 K - L IY0 +STEAKS S T EY1 K S +STEAL S T IY1 L +STEALER S T IY1 - L ER0 +STEALEY S T IY1 - L IY0 +STEALING S T IY1 - L IH0 NG +STEALS S T IY1 L Z +STEALTH S T EH1 L TH +STEALTHIES S T EH1 L - TH IY0 Z +STEAM S T IY1 M +STEAMBOAT S T IY1 M - B OW2 T +STEAMBOATS S T IY1 M - B OW2 T S +STEAMED S T IY1 M D +STEAMER S T IY1 - M ER0 +STEAMERS S T IY1 - M ER0 Z +STEAMILY S T IY1 - M AH0 - L IY0 +STEAMING S T IY1 - M IH0 NG +STEAMROLLER S T IY1 M - R OW2 - L ER0 +STEAMROLLERED S T IY1 M - R OW2 - L ER0 D +STEAMS S T IY1 M Z +STEAMSHIP S T IY1 M - SH IH2 P +STEAMY S T IY1 - M IY0 +STEAR S T IH1 R +STEARIC S T IY1 - R IH0 K +STEARMAN S T IH1 R - M AH0 N +STEARN S T ER1 N +STEARNE S T ER1 N +STEARNS S T ER1 N Z +STEARNS'S S T ER1 N - Z IH0 Z +STEARS S T IY1 R Z +STEBBINS S T EH1 - B IH0 N Z +STEBER S T IY1 - B ER0 +STEBNER S T EH1 B - N ER0 +STEC S T EH1 K +STECH S T EH1 K +STECHER S T EH1 - K ER0 +STECHLER S T EH1 K - L ER0 +STECHSCHULTE S T EH1 K - SH AH0 L T +STECK S T EH1 K +STECKEL S T EH1 - K AH0 L +STECKELBERG S T EH1 - K AH0 L - B ER0 G +STECKER S T EH1 - K ER0 +STECKLEIN S T EH1 K - L AY2 N +STECKLER S T EH1 K - L ER0 +STECKLEY S T EH1 K - L IY0 +STECKMAN S T EH1 K - M AH0 N +STEDMAN S T EH1 D - M AH0 N +STEEB S T IY1 B +STEEBER S T IY1 - B ER0 +STEED S T IY1 D +STEED'S S T IY1 D Z +STEEDLEY S T IY1 D - L IY0 +STEEDMAN S T IY1 D - M AH0 N +STEEG S T IY1 G +STEEGE S T IY1 JH +STEEGO S T IY1 - G OW0 +STEEL S T IY1 L +STEEL'S S T IY1 L Z +STEELCASE S T IY1 L - K EY2 S +STEELE S T IY1 L +STEELER S T IY1 - L ER0 +STEELERS S T IY1 - L ER0 Z +STEELEY S T IY1 - L IY0 +STEELHEAD S T IY1 L - HH EH2 D +STEELMAKER S T IY1 L - M EY2 - K ER0 +STEELMAKER'S S T IY1 L - M EY2 - K ER0 Z +STEELMAKERS S T IY1 L - M EY2 - K ER0 Z +STEELMAKERS' S T IY1 L - M AH0 - K ER0 Z +STEELMAKING S T IY1 L - M EY2 - K IH0 NG +STEELMAN S T IY1 L - M AH0 N +STEELS S T IY1 L Z +STEELWORKER S T IY1 L - W ER2 - K ER0 +STEELWORKERS S T IY1 L - W ER2 - K ER0 Z +STEELWORKERS' S T IY1 L - W ER0 - K ER0 Z +STEELWORKS S T IY1 L - W ER2 K S +STEELY S T IY1 - L IY0 +STEEN S T IY1 N +STEENBERGEN S T IY1 N - B ER0 - G AH0 N +STEENBURGEN S T IY1 N - B ER0 - G AH0 N +STEENKAMP S T IY1 N - K AE2 M P +STEENKISTE S T IY1 N - K IH2 S T +STEENROD S T IY1 N - R AH0 D +STEENSMA S T IY1 N Z - M AH0 +STEENSON S T IY1 N - S AH0 N +STEEP S T IY1 P +STEEPED S T IY1 P T +STEEPENED S T IY1 - P AH0 N D +STEEPER S T IY1 - P ER0 +STEEPEST S T IY1 - P AH0 S T +STEEPLE S T IY1 - P AH0 L +STEEPLECHASE S T IY1 - P AH0 L - CH EY2 S +STEEPLY S T IY1 P - L IY0 +STEEPNESS S T IY1 P - N AH0 S +STEER S T IH1 R +STEERE S T IH1 R +STEERED S T IH1 R D +STEERING S T IH1 - R IH0 NG +STEERS S T IH1 R Z +STEES S T IY1 Z +STEEVER S T IY1 - V ER0 +STEEVES S T IY1 V Z +STEFA S T EH1 - F AH0 +STEFAN S T EH1 - F AA0 N +STEFANELLI S T EH0 - F AA0 N - EH1 - L IY0 +STEFANI S T EH1 - F AH0 - N IY0 +STEFANI'S S T EH1 - F AH0 - N IY0 Z +STEFANIAK S T IH0 - F AE1 - N IY0 - AE0 K +STEFANIC S T IH0 - F AE1 - N IH0 K +STEFANICH S T EH1 - F AH0 - N IH0 CH +STEFANICK S T EH1 - F AH0 N - IH0 K +STEFANIE S T EH1 - F AH0 - N IY0 +STEFANIK S T IH0 - F AE1 - N IH0 K +STEFANKO S T IH0 - F AE1 NG - K OW0 +STEFANO S T EH1 - F AH0 - N OW0 +STEFANOPOLIS S T EH2 - F AH0 - N AO1 - P AH0 - L AH0 S +STEFANOWICZ S T IH0 - F AE1 - N AH0 - V IH0 CH +STEFANSKI S T IH0 - F AE1 N S - K IY0 +STEFFAN S T EH1 - F AH0 N +STEFFANCI S T EH2 - F AA1 N - S IY0 +STEFFE S T EH1 F +STEFFEK S T EH1 - F IH0 K +STEFFEL S T EH1 - F AH0 L +STEFFEN S T EH1 - F AH0 N +STEFFENHAGEN S T EH1 - F IH0 N - HH AH0 - G AH0 N +STEFFENS S T EH1 - F AH0 N Z +STEFFENSEN S T EH1 - F IH0 N - S AH0 N +STEFFENSMEIER S T EH1 - F IH0 N - S M AY0 - ER0 +STEFFENSON S T EH1 - F IH0 N - S AH0 N +STEFFES S T EH1 F S +STEFFEY S T EH1 - F IY0 +STEFFI S T EH1 - F IY0 +STEFFIE S T EH1 - F IY0 +STEFFLER S T EH1 F - L ER0 +STEFFY S T EH1 - F IY0 +STEFKO S T EH1 F - K OW0 +STEFL S T EH1 - F AH0 L +STEGALL S T EH1 - G AH0 L +STEGE S T IY1 JH +STEGEMAN S T IY1 G - M AH0 N +STEGEMANN S T IY1 G - M AH0 N +STEGEMEIER S T EH1 G - M AY2 R +STEGENGA S T EH0 - JH EH1 NG - G AH0 +STEGER S T IY1 - G ER0 +STEGMAIER S T EH1 G - M AY0 - ER0 +STEGMAN S T EH1 G - M AH0 N +STEGMANN S T EH1 G - M AH0 N +STEGNER S T EH1 G - N ER0 +STEGOSAURUS S T EH2 - G AH0 - S AO1 - R AH0 S +STEHLE S T EH1 - HH AH0 L +STEHLIK S T EH1 - L IH0 K +STEHLIN S T EH1 - L IH0 N +STEHLING S T EH1 - L IH0 NG +STEHMAN S T EH1 - M AH0 N +STEHR S T EH1 R +STEIB S T IY1 B +STEICHEN S T AY1 - K AH0 N +STEIDEL S T AY1 - D AH0 L +STEIDINGER S T AY1 - D IH0 - NG ER0 +STEIDL S T IY1 - D AH0 L +STEIDLE S T IY1 - D AH0 L +STEIDTMANN S T AY1 T - M AH0 N +STEIER S T AY1 - ER0 +STEIG S T IY1 G +STEIGER S T AY1 - G ER0 +STEIGERWALD S T AY1 - G ER0 - W AO2 L D +STEIGERWALT S T AY1 - G ER0 - W AH0 L T +STEIL S T IY1 L +STEIMAN S T AY1 - M AH0 N +STEIMEL S T AY1 - M AH0 L +STEIMER S T AY1 - M ER0 +STEIMLE S T IY1 - M AH0 L +STEIN S T AY1 N +STEIN'S S T AY1 N Z +STEINACKER S T AY1 - N AE0 - K ER0 +STEINBACH S T AY1 N - B AA2 K +STEINBACHER S T AY1 N - B AA2 - K ER0 +STEINBACK S T AY1 N - B AE2 K +STEINBAUER S T AY1 N - B AW0 - ER0 +STEINBAUGH S T AY1 N - B AW0 +STEINBECK S T AY1 N - B EH2 K +STEINBECK'S S T AY1 N - B EH2 K S +STEINBERG S T AY1 N - B ER0 G +STEINBERG'S S T AY1 N - B ER0 G Z +STEINBERGEN S T AY1 N - B AH0 R - G AH0 N +STEINBERGER S T AY1 N - B ER0 - G ER0 +STEINBOCK S T AY1 N - B AA2 K +STEINBORN S T AY1 N - B AO1 R N +STEINBRECHER S T AY1 N - B R EH2 - K ER0 +STEINBRENNER S T AY1 N - B R EH2 - N ER0 +STEINBRINK S T AY1 N - B R IH2 NG K +STEINEM S T AY1 - N AH0 M +STEINER S T AY1 - N ER0 +STEINER'S S T AY1 - N ER0 Z +STEINERT S T AY1 - N ER0 T +STEINES S T AY1 N Z +STEINFELD S T AY1 N - F EH2 L D +STEINFELDT S T AY1 N - F EH2 L T +STEINGUT S T AY1 N - G AH2 T +STEINHAGEN S T AY1 N - HH AE0 - G AH0 N +STEINHARDT S T AY1 N - HH AA2 R T +STEINHARDT'S S T AY1 N - HH AA0 R T S +STEINHART S T AY1 N - HH AA2 R T +STEINHAUER S T AY1 N - HH AW0 - ER0 +STEINHAUS S T AY1 N - HH AW2 S +STEINHAUSER S T AY1 N - HH AW2 - Z ER0 +STEINHILBER S T AY1 N - HH IH2 L - B ER0 +STEINHOFF S T AY1 N - HH AO2 F +STEINHORST S T AY1 N - HH AO0 R S T +STEININGER S T AY1 - N IH0 - NG ER0 +STEINKAMP S T AY1 NG - K AE0 M P +STEINKE S T AY1 NG K +STEINKRAUS S T AY1 NG - K R AW0 Z +STEINKRAUSS S T AY1 N - K R AW2 S +STEINKUEHLER S T AY1 N - K Y UW2 - L ER0 +STEINLE S T AY1 - N AH0 L +STEINMAN S T AY1 N - M AH0 N +STEINMANN S T AY1 N - M AH0 N +STEINMETZ S T AY1 N - M EH0 T S +STEINMEYER S T AY1 N - M AY0 - ER0 +STEINMILLER S T AY1 N - M IH2 - L ER0 +STEINROE S T AY1 N - R OW2 +STEINWAY S T AY1 N - W EY2 +STEINWAY'S S T AY1 N - W EY2 Z +STEITZ S T IY1 T S +STEJSKAL S T EH1 JH - S K AH0 L +STEKETEE S T EH1 - K IH0 - T IY0 +STEKLY S T EH1 K - L IY0 +STELCO S T EH1 L - K OW0 +STELIAN S T IY1 - L IY0 - AH0 N +STELL S T EH1 L +STELLA S T EH1 - L AH0 +STELLA'S S T EH1 - L AH0 Z +STELLAR S T EH1 - L ER0 +STELLARTON S T EH1 - L ER0 - T AH0 N +STELLATO S T EH0 - L AA1 - T OW0 +STELLE S T EH1 L +STELLENBOSCH S T EH1 - L AH0 N - B AO2 SH +STELLER S T EH1 - L ER0 +STELLHORN S T EH1 L - HH ER0 N +STELLING S T EH1 - L IH0 NG +STELLJES S T EY1 - L Y EH0 S +STELLMACH S T EH1 L - M AH0 K +STELLMACHER S T EH1 L - M AH0 - K ER0 +STELLMAN S T EH1 L - M AH0 N +STELLO S T EH1 - L OW0 +STELLY S T EH1 - L IY0 +STELMACH S T EH1 L - M AH0 K +STELMACK S T EH1 L - M AH0 K +STELOFF S T EH1 - L AO0 F +STELTER S T EH1 L - T ER0 +STELTZ S T EH1 L T S +STELZER S T EH1 L - Z ER0 +STELZNER S T EH1 L Z - N ER0 +STEM S T EH1 M +STEMBERG S T EH1 M - B ER0 G +STEMBRIDGE S T EH1 M - B R IH2 JH +STEMEN S T EH1 - M AH0 N +STEMLER S T EH1 M - L ER0 +STEMLIKE S T EH1 M - L AY2 K +STEMM S T EH1 M +STEMMED S T EH1 M D +STEMMER S T EH1 - M ER0 +STEMMING S T EH1 - M IH0 NG +STEMMLER S T EH1 M - L ER0 +STEMPEL S T EH1 M - P AH0 L +STEMPEL'S S T EH1 M - P AH0 L Z +STEMPER S T EH1 M - P ER0 +STEMPIEN S T EH1 M - P IY0 N +STEMPLE S T EH1 M - P AH0 L +STEMPLER S T EH1 M - P L ER0 +STEMPLER'S S T EH1 M - P L ER0 Z +STEMPOSTS S T EH1 M - P OW2 S T S +STEMPOSTS(2) S T EH1 M - P OW2 S S +STEMPOSTS(3) S T EH1 M - P OW2 S +STEMS S T EH1 M Z +STEN S T EH1 N +STENA S T IY1 - N AH0 +STENA(2) S T EH1 - N AH0 +STENA(3) S T EY1 - N AH0 +STENBERG S T EH1 N - B ER0 G +STENCEL S T EH1 N - S AH0 L +STENCH S T EH1 N CH +STENCIL S T EH1 N - S IH0 L +STENCILED S T EH1 N - S IH0 L D +STENCILING S T EH1 N - S IH0 - L IH0 NG +STENCILING(2) S T EH1 N - S L IH0 NG +STENDAL S T EH1 N - D AH0 L +STENDER S T EH1 N - D ER0 +STENDIG S T EH1 N - D IH0 G +STENE S T IY1 N +STENERSON S T EH1 - N ER0 - S AH0 N +STENGEL S T EH1 NG - G AH0 L +STENGER S T EH1 N - JH ER0 +STENGLEIN S T IH1 NG - L AY0 N +STENHOLM S T EH1 N - HH OW2 L M +STENHOUSE S T EH1 N - HH AW2 S +STENNER S T EH1 - N ER0 +STENNETT S T EH1 - N IH0 T +STENNIS S T EH1 - N IH0 S +STENO S T EH1 - N OW0 +STENOGRAPHER S T EH0 - N AH1 - G R AH0 - F ER0 +STENOGRAPHIC S T EH2 - N AH0 - G R AE1 - F IH0 K +STENQUIST S T EH1 N - K W IH2 S T +STENSETH S T EH1 N - S IH0 TH +STENSLAND S T EH1 N S - L AH0 N D +STENSON S T EH1 N - S AH0 N +STENSRUD S T EH1 N - S R AH0 D +STENSTROM S T EH1 N - S T R AH0 M +STENT S T EH1 N T +STENTOR S T EH1 N - T ER0 +STENTORS S T EH1 N - T ER0 Z +STENTZ S T EH1 N T S +STENY S T EH1 - N IY0 +STENZ S T EH1 N Z +STENZEL S T EH1 N - Z AH0 L +STEP S T EH1 P +STEPAN S T EH1 - P AH0 N +STEPANAKERT S T AH0 - P AE1 - N AH0 - K ER0 T +STEPANEK S T EH1 - P AH0 - N IH0 K +STEPANIAN S T IH0 - P EY1 - N IY0 - AH0 N +STEPANIAN'S S T IH0 - P EY1 - N IY0 - AH0 N Z +STEPANSKI S T IH0 - P AE1 N S - K IY0 +STEPCHILD S T EH1 P - CH AY2 L D +STEPCHILDREN S T EH1 P - CH IH1 L - D R AH0 N +STEPDAUGHTER S T EH1 P - D AO2 - T ER0 +STEPDAUGHTERS S T EH1 P - D AO2 - T ER0 Z +STEPFATHER S T EH1 P - F AA2 - DH ER0 +STEPH S T EH1 F +STEPHA S T EH1 - F AH0 +STEPHAN S T EH1 - F AH0 N +STEPHANA S T EH0 - F AA1 - N AH0 +STEPHANE S T EH0 - F AA1 N +STEPHANI S T EH1 - F AH0 - N IY0 +STEPHANIA S T IH0 - F AE1 - N IY0 - AH0 +STEPHANIE S T EH1 - F AH0 - N IY0 +STEPHANOPOULOS S T EH2 - F AH0 - N AA1 - P AH0 - L AH0 S +STEPHANOPOULOS' S T EH2 - F AH0 - N AA1 - P AH0 - L AH0 S +STEPHANOPOULOS'S S T EH2 - F AH0 - N AA1 - P AH0 - L AH0 - S IH0 S +STEPHANS S T EH1 - F AH0 N Z +STEPHANY S T EH1 - F AH0 - N IY0 +STEPHEN S T IY1 - V AH0 N +STEPHEN'S S T IY1 - V AH0 N Z +STEPHEN'S(2) S T EH1 - F AH0 N Z +STEPHEN(2) S T EH1 - F AH0 N +STEPHENS S T IY1 - V AH0 N Z +STEPHENS'S S T IY1 - V IH0 N - Z IH0 Z +STEPHENS(2) S T EH1 - F AH0 N Z +STEPHENSON S T IY1 - V AH0 N - S AH0 N +STEPHENVILLE S T IY1 - V IH0 N - V IH2 L +STEPIEN S T EH1 - P IY0 - AH0 N +STEPKA S T EH1 P - K AH0 +STEPLADDER S T EH1 P - L AE2 - D ER0 +STEPLADDERS S T EH1 P - L AE2 - D ER0 Z +STEPMOTHER S T EH1 P - M AH2 - DH ER0 +STEPNEY S T EH1 P - N IY0 +STEPP S T EH1 P +STEPPE S T EH1 P +STEPPED S T EH1 P T +STEPPEL S T EH1 - P AH0 L +STEPPENWOLF S T EH1 - P AH0 N - W UH2 L F +STEPPER S T EH1 - P ER0 +STEPPERS S T EH1 - P ER0 Z +STEPPES S T EH1 P S +STEPPIN' S T EH1 - P IH0 N +STEPPING S T EH1 - P IH0 NG +STEPPINGSTONE S T EH1 - P IH0 NG - S T OW2 N +STEPS S T EH1 P S +STEPSISTER S T EH1 P - S IH2 - S T ER0 +STEPSISTERS S T EH1 P - S IH2 - S T ER0 Z +STEPSON S T EH1 P - S AH2 N +STEPTOE S T EH1 P - T OW2 +STERBA S T EH1 R - B AH0 +STERBENZ S T ER1 - B IH0 N S +STERCHI S T EH1 R - K IY0 +STEREO S T EH1 - R IY0 - OW2 +STEREOGRAPHIC S T EH2 - R IY0 - AH0 - G R AE1 - F IH0 K +STEREOLAB S T EH1 - IY0 - OW0 - L AE2 B +STEREOMICROSCOPE S T EH2 - R IY0 - OW0 - M AY1 - K R AH0 S - K OW0 P +STEREOS S T EH1 - R IY0 - OW2 Z +STEREOTYPE S T EH1 - R IY0 - AH0 - T AY2 P +STEREOTYPE(2) S T EH1 - R IY0 - OW0 - T AY2 P +STEREOTYPED S T EH1 - R IY0 - AH0 - T AY2 P T +STEREOTYPED(2) S T EH1 - R IY0 - OW0 - T AY2 P T +STEREOTYPES S T EH1 - R IY0 - AH0 - T AY2 P S +STEREOTYPES(2) S T EH1 - R IY0 - OW0 - T AY2 P S +STEREOTYPICAL S T EH2 - R IY0 - OW0 - T IH1 - P IH0 - K AH0 L +STEREOTYPICAL(2) S T EH2 - R IY0 - AH0 - T IH1 - P IH0 - K AH0 L +STEREOTYPING S T EH1 - R IY0 - AH0 - T AY2 - P IH0 NG +STEREOTYPING(2) S T EH1 - R IY0 - OW0 - T AY2 - P IH0 NG +STERETT S T EH1 - R IH0 T +STERETT'S S T EH1 - R AH0 T S +STERILE S T EH1 - R AH0 L +STERILITY S T ER0 - IH1 - L IH0 - T IY0 +STERILIZATION S T EH2 - R AH0 - L AH0 - Z EY1 - SH AH0 N +STERILIZATION(2) S T EH2 - R AH0 - L IH0 - Z EY1 - SH AH0 N +STERILIZATIONS S T EH2 - R AH0 - L AH0 - Z EY1 - SH AH0 N Z +STERILIZATIONS(2) S T EH2 - R AH0 - L IH0 - Z EY1 - SH AH0 N Z +STERILIZE S T EH1 - R AH0 - L AY2 Z +STERILIZED S T EH1 - R AH0 - L AY2 Z D +STERILIZER S T EH1 - R AH0 - L AY2 - Z ER0 +STERILIZERS S T EH1 - R AH0 - L AY2 - Z ER0 Z +STERILIZES S T EH1 - R AH0 - L AY2 - Z IH0 Z +STERILIZING S T EH1 - R AH0 - L AY2 - Z IH0 NG +STERK S T ER1 K +STERKEL S T ER1 - K AH0 L +STERLE S T AO1 - R AH0 L +STERLING S T ER1 - L IH0 NG +STERLING'S S T ER1 - L IH0 NG Z +STERMAN S T ER1 - M AH0 N +STERMER S T ER1 - M ER0 +STERN S T ER1 N +STERN'S S T ER1 N Z +STERNBACH S T ER1 N - B AA0 K +STERNBERG S T ER1 N - B ER0 G +STERNBERGER S T ER1 N - B ER0 - G ER0 +STERNE S T ER1 N +STERNEM S T ER1 - N EH0 M +STERNER S T ER1 - N ER0 +STERNEST S T ER1 - N AH0 S T +STERNFELD S T ER1 N - F EH0 L D +STERNHAGEN S T ER1 N - HH AH0 - G AH0 N +STERNLY S T ER1 N - L IY0 +STERNNESS S T ER1 N - N AH0 S +STERNNESS(2) S T ER1 - N AH0 S +STERNPOST S T ER1 N - P OW2 S T +STERNPOSTS S T ER1 N - P OW2 S T S +STERNPOSTS(2) S T ER1 N - P OW2 S S +STERNPOSTS(3) S T ER1 N - P OW2 S +STERNS S T ER1 N Z +STEROID S T ER0 - OY1 D +STEROIDS S T EH1 - R OY0 D Z +STERR S T EH1 R +STERRETT S T EH1 - R IH0 T +STERRY S T EH1 - R IY0 +STET S T EH1 T +STETHEM S T EH1 - TH AH0 M +STETHEM(2) S T EH1 - T AH0 M +STETHOSCOPE S T EH1 - TH AH0 S - K OW2 P +STETHOSCOPES S T EH1 - TH AH0 S - K OW2 P S +STETLER S T EH1 T - L ER0 +STETSON S T EH1 T - S AH0 N +STETTER S T EH1 - T ER0 +STETTLER S T EH1 T - L ER0 +STETTNER S T EH1 T - N ER0 +STETZ S T EH1 T S +STETZEL S T EH1 T - Z AH0 L +STETZER S T EH1 T - Z ER0 +STEUART S T OY1 - AA0 R T +STEUBEN S T Y UW1 - B IH0 N +STEUBEN(2) S T UW1 - B IH0 N +STEUBENVILLE S T UW1 - B AH0 N - V IH2 L +STEUBER S T OY1 - B ER0 +STEUCK S T UW1 K +STEUER S T OY1 - ER0 +STEUERWALD S T OY1 - ER0 - W AO0 L D +STEURER S T ER1 - ER0 +STEUVER S T UW1 - V ER0 +STEVANA S T IH0 - V AE1 - N AH0 +STEVE S T IY1 V +STEVE'S S T IY1 V Z +STEVEDORE S T IY1 - V AH0 - D AO2 R +STEVEDORING S T IY1 - V AH0 - D AO2 - R IH0 NG +STEVEN S T IY1 - V AH0 N +STEVEN'S S T IY1 - V AH0 N Z +STEVENA S T EH1 - V IH0 - N AH0 +STEVENS S T IY1 - V AH0 N Z +STEVENS' S T IY1 - V AH0 N Z +STEVENS'S S T IY1 - V AH0 N - Z AH0 Z +STEVENS'S(2) S T IY1 - V AH0 N - Z IH0 Z +STEVENSON S T IY1 - V AH0 N - S AH0 N +STEVER S T IY1 - V ER0 +STEVERSON S T EH1 - V ER0 - S AH0 N +STEVES S T IY1 V Z +STEVESON S T EH1 - V IH0 - S AH0 N +STEVICK S T EH1 - V IH0 K +STEVIE S T IY1 - V IY0 +STEVISON S T EH1 - V IH0 - S AH0 N +STEW S T UW1 +STEW'S S T UW1 Z +STEWARD S T UW1 - ER0 D +STEWARDESS S T UW1 - ER0 - D AH0 S +STEWARDESSES S T UW1 - ER0 - D AH0 - S IH0 Z +STEWARDS S T UW1 - ER0 D Z +STEWARDSHIP S T UW1 - ER0 D - SH IH2 P +STEWART S T UW1 - ER0 T +STEWART'S S T UW1 - ER0 T S +STEWED S T UW1 D +STEWING S T UW1 - IH0 NG +STEWS S T UW1 Z +STEYER S T EY1 - ER0 +STIBEL S T IH1 - B AH0 L +STICE S T AY1 S +STICH S T IH1 CH +STICHA S T IH1 - CH AH0 +STICHNOTH S T IH1 K - N AA2 TH +STICHT S T IH1 K T +STICHTER S T IH1 K - T ER0 +STICK S T IH1 K +STICKA S T IH1 - K AH0 +STICKBALL S T IH1 K - B AO2 L +STICKEL S T IH1 - K AH0 L +STICKELS S T IH1 - K AH0 L Z +STICKER S T IH1 - K ER0 +STICKERS S T IH1 - K ER0 Z +STICKIER S T IH1 - K IY0 - ER0 +STICKIEST S T IH1 - K IY0 - AH0 S T +STICKING S T IH1 - K IH0 NG +STICKLAND S T IH1 K - L AH0 N D +STICKLE S T IH1 - K AH0 L +STICKLER S T IH1 - K AH0 - L ER0 +STICKLER(2) S T IH1 - K L ER0 +STICKLES S T IH1 - K AH0 L Z +STICKLEY S T IH1 K - L IY0 +STICKNEY S T IH1 K - N IY0 +STICKS S T IH1 K S +STICKTIGHT S T IH1 K - T AY2 T +STICKTIGHTS S T IH1 K - T AY2 T S +STICKY S T IH1 - K IY0 +STIDD S T IH1 D +STIDHAM S T IH1 D - HH AH0 M +STIEBEL S T IY1 - B AH0 L +STIEBER S T IY1 - B ER0 +STIEF S T IY1 F +STIEFEL S T IY1 - F AH0 L +STIEFELHAGEN S T IY1 - F AH0 L - HH EY2 - G AH0 N +STIEFELHAGEN(2) S T AY1 - F AH0 L - HH EY2 - G AH0 N +STIEFVATER S T IY1 F - V AH0 - T ER0 +STIEG S T IY1 G +STIEGEMEIER S T IY1 - JH AH0 - M AY2 R +STIEGLER S T IY1 G - L ER0 +STIEGLITZ S T IY1 - G L IH0 T S +STIEHL S T IY1 L +STIENS S T IY1 N Z +STIER S T AY1 - ER0 +STIERS S T AY1 - ER0 Z +STIERWALT S T IH1 R - W AH0 L T +STIEVE S T IY1 V +STIFEL S T IH1 - F AH0 L +STIFF S T IH1 F +STIFFED S T IH1 F T +STIFFEL S T IH1 - F AH0 L +STIFFEN S T IH1 - F AH0 N +STIFFENED S T IH1 - F AH0 N D +STIFFENER S T IH1 - F AH0 - N ER0 +STIFFENING S T IH1 - F AH0 N - IH0 NG +STIFFENING(2) S T IH1 F - N IH0 NG +STIFFENS S T IH1 - F AH0 N Z +STIFFER S T IH1 - F ER0 +STIFFEST S T IH1 - F AH0 S T +STIFFLER S T IH1 F - L ER0 +STIFFLY S T IH1 F - L IY0 +STIFFNESS S T IH1 F - N AH0 S +STIFFS S T IH1 F S +STIFLE S T AY1 - F AH0 L +STIFLED S T AY1 - F AH0 L D +STIFLES S T AY1 - F AH0 L Z +STIFLING S T AY1 - F L IH0 NG +STIFLING(2) S T AY1 - F AH0 L - IH0 NG +STIFTER S T IH1 F - T ER0 +STIG S T IH1 G +STIGALL S T IH1 - G AH0 L +STIGER S T AY1 - G ER0 +STIGERS S T AY1 - G ER0 Z +STIGLER S T IH1 G - L ER0 +STIGLITZ S T IH1 G - L IH0 T S +STIGMA S T IH1 G - M AH0 +STIGMATISM S T IH1 G - M AH0 - T IH2 - Z AH0 M +STIGMATIZE S T IH1 G - M AH0 - T AY2 Z +STIGMATIZED S T IH1 G - M AH0 - T AY2 Z D +STIGMATIZING S T IH1 G - M AH0 - T AY2 - Z IH0 NG +STIHL S T IH1 L +STIKA S T IH1 - K AH0 +STIKELEATHER S T IH1 - K IH0 - L EH0 - DH ER0 +STIKELEATHER(2) S T IH1 - K L EH0 - DH ER0 +STIKELEATHER(3) S T AY1 - K L EH0 - DH ER0 +STIL S T IH1 L +STILE S T AY1 L +STILES S T AY1 L Z +STILETTO S T AH0 - L EH1 - T OW0 +STILETTOS S T AH0 - L EH1 - T OW0 Z +STILL S T IH1 L +STILLBORN S T IH1 L - B AO1 R N +STILLE S T IH1 L +STILLED S T IH1 L D +STILLER S T IH1 - L ER0 +STILLER'S S T IH1 - L ER0 Z +STILLEY S T IH1 - L IY0 +STILLINGER S T IH1 - L IH0 - NG ER0 +STILLINGS S T IH1 - L IH0 NG Z +STILLION S T IH1 - L Y AH0 N +STILLMAN S T IH1 L - M AH0 N +STILLNESS S T IH1 L - N AH0 S +STILLS S T IH1 L Z +STILLSON S T IH1 L - S AH0 N +STILLWAGON S T IH1 L - W AE2 - G AH0 N +STILLWATER S T IH1 L - W AO2 - T ER0 +STILLWELL S T IH1 L - W EH2 L +STILLWELL'S S T IH1 L - W EH2 L Z +STILSON S T IH1 L - S AH0 N +STILT S T IH1 L T +STILTED S T IH1 L - T IH0 D +STILTNER S T IH1 L T - N ER0 +STILTS S T IH1 L T S +STILWELL S T IH1 L - W EH2 L +STIMAC S T IH1 - M AH0 K +STIMMEL S T IH1 - M AH0 L +STIMPERT S T IH1 M - P ER0 T +STIMPSON S T IH1 M P - S AH0 N +STIMPY S T IH1 M - P IY0 +STIMSON S T IH1 M - S AH0 N +STIMULANT S T IH1 - M Y AH0 - L AH0 N T +STIMULANTS S T IH1 - M Y AH0 - L AH0 N T S +STIMULATE S T IH1 - M Y AH0 - L EY2 T +STIMULATED S T IH1 - M Y AH0 - L EY2 - T AH0 D +STIMULATED(2) S T IH1 - M Y AH0 - L EY2 - T IH0 D +STIMULATES S T IH1 - M Y AH0 - L EY2 T S +STIMULATING S T IH1 - M Y AH0 - L EY2 - T IH0 NG +STIMULATION S T IH2 - M Y AH0 - L EY1 - SH AH0 N +STIMULATIVE S T IH1 - M Y AH0 - L EY2 - T IH0 V +STIMULATOR S T IH1 - M Y AH0 - L EY2 - T ER0 +STIMULATORS S T IH1 - M Y AH0 - L EY2 - T ER0 Z +STIMULI S T IH1 - M Y AH0 - L AY2 +STIMULUS S T IH1 - M Y AH0 - L AH0 S +STINAR S T AY1 - N AA0 R +STINCHCOMB S T IH1 N CH - K AH0 M +STINCHFIELD S T IH1 N CH - F IY0 L D +STINE S T AY1 N +STINEBAUGH S T IH1 - N IH0 - B AO0 +STINEL S T IH1 - N AH0 L +STINEL'S S T IH1 - N AH0 L Z +STINEL'S(2) S T IH2 - N EH1 L Z +STINEL(2) S T IH2 - N EH1 L +STINEMAN S T AY1 N - M AH0 N +STINER S T AY1 - N ER0 +STINES S T AY1 N Z +STING S T IH1 NG +STING'S S T IH1 NG Z +STINGER S T IH1 - NG ER0 +STINGERS S T IH1 - NG ER0 Z +STINGIER S T IH1 N - JH IY0 - ER0 +STINGINESS S T IH1 N - JH IY0 - N IH0 S +STINGING S T IH1 - NG IH0 NG +STINGLEY S T IH1 NG - G L IY0 +STINGS S T IH1 NG Z +STINGY S T IH1 N - JH IY0 +STINK S T IH1 NG K +STINKBUG S T IH1 NG K - B AH0 G +STINKBUGS S T IH1 NG K - B AH0 G Z +STINKERS S T IH1 NG - K ER0 Z +STINKING S T IH1 NG - K IH0 NG +STINKS S T IH1 NG K S +STINKY S T IH1 NG - K IY0 +STINNETT S T IH1 - N IH0 T +STINNETTE S T IH0 - N EH1 T +STINSON S T IH1 N - S AH0 N +STINT S T IH1 N T +STINTS S T IH1 N T S +STIPANOVICH S T IH0 - P AE1 - N AH0 - V IH0 CH +STIPE S T AY1 P +STIPEND S T AY1 - P AH0 N D +STIPENDS S T AY1 - P AH0 N D Z +STIPES S T AY1 P S +STIPP S T IH1 P +STIPULATE S T IH1 - P Y AH0 - L EY2 T +STIPULATED S T IH1 - P Y AH0 - L EY2 - T IH0 D +STIPULATES S T IH1 - P Y AH0 - L EY2 T S +STIPULATING S T IH1 - P Y AH0 - L EY2 - T IH0 NG +STIPULATION S T IH2 - P Y AH0 - L EY1 - SH AH0 N +STIPULATIONS S T IH2 - P Y AH0 - L EY1 - SH AH0 N Z +STIR S T ER1 +STIRES S T AY1 R Z +STIREWALT S T AO1 - R UW0 - AH0 L T +STIRLING S T ER1 - L IH0 NG +STIRLING'S S T ER1 - L IH0 NG Z +STIRN S T ER1 N +STIRRED S T ER1 D +STIRRING S T ER1 - IH0 NG +STIRRINGS S T ER1 - IH0 NG Z +STIRRUP S T ER1 - AH0 P +STIRRUPS S T ER1 - AH0 P S +STIRS S T ER1 Z +STITCH S T IH1 CH +STITCHED S T IH1 CH T +STITCHES S T IH1 - CH IH0 Z +STITCHING S T IH1 - CH IH0 NG +STITELER S T AY1 T - L ER0 +STITELY S T AY1 T - L IY0 +STITES S T AY1 T S +STITH S T IH1 TH +STITT S T IH1 T +STITZ S T IH1 T S +STITZEL S T IH1 T - Z AH0 L +STITZER S T IH1 T - Z ER0 +STIVER S T AY1 - V ER0 +STIVERS S T AY1 - V ER0 Z +STIVERSON S T IH1 - V ER0 - S AH0 N +STIVORIC S T IH0 - V AO1 - R IH0 K +STOBAUGH S T AA1 - B AO0 +STOBBE S T AA1 B +STOBER S T OW1 - B ER0 +STOBIE S T AA1 - B IY0 +STOCK S T AA1 K +STOCK'S S T AA1 K S +STOCKARD S T AA1 - K ER0 D +STOCKBRIDGE S T AA1 K - B R IH0 JH +STOCKBROKER S T AA1 K - B R OW2 - K ER0 +STOCKBROKER'S S T AA1 K - B R OW2 - K ER0 Z +STOCKBROKERAGE S T AA1 K - B R OW2 - K ER0 - IH0 JH +STOCKBROKERAGES S T AA1 K - B R OW2 - K ER0 - IH0 - JH IH0 Z +STOCKBROKERS S T AA1 K - B R OW2 - K ER0 Z +STOCKBROKERS' S T AA1 K - B R OW2 - K ER0 Z +STOCKBROKING S T AA1 K - B R OW2 - K IH0 NG +STOCKBURGER S T AA1 K - B ER0 - G ER0 +STOCKDALE S T AA1 K - D EY2 L +STOCKDALE'S S T AA1 K - D EY2 L Z +STOCKE S T AA1 K +STOCKED S T AA1 K T +STOCKEL S T AA1 - K AH0 L +STOCKER S T AA1 - K ER0 +STOCKERT S T AA1 - K ER0 T +STOCKETT S T AA1 - K IH0 T +STOCKFORD S T AA1 K - F ER0 D +STOCKHAM S T AA1 K - HH AH0 M +STOCKHAUSEN S T AA1 K - HH AW2 - Z AH0 N +STOCKHOLDER S T AA1 K - HH OW2 L - D ER0 +STOCKHOLDERS S T AA1 K - HH OW2 L - D ER0 Z +STOCKHOLDERS' S T AA1 K - HH OW2 L - D ER0 Z +STOCKHOLDING S T AA1 K - HH OW2 L - D IH0 NG +STOCKHOLDINGS S T AA1 K - HH OW2 L - D IH0 NG Z +STOCKHOLM S T AA1 K - HH OW2 L M +STOCKHOLM'S S T AA1 K - HH OW2 L M Z +STOCKING S T AA1 - K IH0 NG +STOCKINGER S T AA1 - K IH0 - NG ER0 +STOCKINGS S T AA1 - K IH0 NG Z +STOCKLEY S T AA1 K - L IY0 +STOCKMAN S T AA1 K - M AH0 N +STOCKMAN'S S T AA1 K - M AE2 N Z +STOCKMARKET S T AA1 K - M AA2 R - K IH0 T +STOCKPILE S T AA1 K - P AY2 L +STOCKPILED S T AA1 K - P AY2 L D +STOCKPILES S T AA1 K - P AY2 L Z +STOCKPILING S T AA1 K - P AY2 - L IH0 NG +STOCKROOM S T AA1 K - R UW2 M +STOCKS S T AA1 K S +STOCKS' S T AA1 K S +STOCKSDALE S T AA1 K S - D EY2 L +STOCKSLAGER S T AA1 K S - L EY0 - G ER0 +STOCKSTILL S T AA1 K - S T IH2 L +STOCKTON S T AA1 K - T AH0 N +STOCKWELL S T AA1 K - W EH2 L +STOCKY S T AA1 - K IY0 +STOCKYARD S T AA1 K - Y AA2 R D +STOCKYARDS S T AA1 K - Y AA2 R D Z +STOCUM S T OW1 - K AH0 M +STODDARD S T AA1 - D ER0 D +STODDARD'S S T AA1 - D ER0 D Z +STODGHILL S T AA1 JH - HH IH2 L +STODGY S T AA1 - JH IY0 +STODOLA S T OW0 - D OW1 - L AH0 +STODOLSKY S T AH0 - D AO1 L S - K IY0 +STOEBER S T OW1 - B ER0 +STOECKEL S T OW1 - K AH0 L +STOECKER S T OW1 - K ER0 +STOECKLE S T OW1 - K AH0 L +STOECKLEIN S T OW1 - K L AY2 N +STOEGER S T OW1 - G ER0 +STOEHR S T AO1 R +STOELTING S T OW1 L - T IH0 NG +STOELTZE S T OW1 L T S +STOERMER S T AO1 R - M ER0 +STOESSEL S T OW1 - S AH0 L +STOEVER S T AA1 - EH0 - V ER0 +STOFER S T OW1 - F ER0 +STOFF S T AO1 F +STOFFEL S T AA1 - F AH0 L +STOFFELS S T AA1 - F AH0 L Z +STOFFER S T AO1 - F ER0 +STOFFERS S T AO1 - F ER0 Z +STOFFREGEN S T AA1 - F R IH0 - G AH0 N +STOFKO S T OW1 F - K OW0 +STOGA S T OW1 - G AH0 +STOGDILL S T AA1 G - D IH0 L +STOGNER S T AA1 G - N ER0 +STOGSDILL S T AA1 G Z - D IH0 L +STOHL S T OW1 L +STOHLER S T OW1 - L ER0 +STOHR S T AO1 R +STOIA S T OW1 - Y AH0 +STOIBER S T OY1 - B ER0 +STOIC S T OW1 - IH0 K +STOICALLY S T OW1 - IH0 K - L IY0 +STOICISM S T OW1 - AH0 - S IH2 - Z AH0 M +STOICS S T OW1 - IH0 K S +STOKE S T OW1 K +STOKED S T OW1 K T +STOKELY S T OW1 K - L IY0 +STOKER S T OW1 - K ER0 +STOKES S T OW1 K S +STOKING S T OW1 - K IH0 NG +STOKKE S T AA1 K +STOKLEY S T AA1 K - L IY0 +STOKLOSA S T AH0 - K L OW1 - S AH0 +STOL S T OW1 L +STOLAR S T OW1 - L ER0 +STOLARSKI S T AH0 - L AA1 R S - K IY0 +STOLARZ S T OW1 - L AA0 R Z +STOLBERG S T OW1 L - B ER0 G +STOLDT S T OW1 L T +STOLE S T OW1 L +STOLEN S T OW1 - L AH0 N +STOLER S T OW1 - L ER0 +STOLFI S T OW1 L - F IY0 +STOLICHNAYA S T OW2 - L IH0 K - N AY1 - AH0 +STOLID S T AA1 - L AH0 D +STOLL S T OW1 L +STOLLAR S T AA1 - L ER0 +STOLLE S T AA1 L +STOLLEN S T AA1 - L AH0 N +STOLLER S T OW1 - L ER0 +STOLLEY S T AA1 - L IY0 +STOLLINGS S T OW1 - L IH0 NG Z +STOLP S T OW1 L P +STOLPE S T OW1 L P +STOLPER S T OW1 L - P ER0 +STOLT S T OW1 L T +STOLTE S T OW1 L T +STOLTENBERG S T OW1 L - T AH0 N - B ER0 G +STOLTMAN S T OW1 L T - M AH0 N +STOLTZ S T OW1 L T S +STOLTZFUS S T OW1 L T S - F AH0 S +STOLTZMAN S T OW1 L T S - M AH0 N +STOLZ S T OW1 L Z +STOLZE S T OW1 L Z +STOMACH S T AH1 - M AH0 K +STOMACHS S T AH1 - M AH0 K S +STOMATA S T OW1 - M AH0 - T AH0 +STOMBAUGH S T AA1 M - B AO2 +STOMP S T AA1 M P +STOMPED S T AA1 M P T +STOMPING S T AA1 M - P IH0 NG +STONE S T OW1 N +STONE'S S T OW1 N Z +STONEBACK S T OW1 N - B AE2 K +STONEBERG S T OW1 N - B ER0 G +STONEBERGER S T OW1 N - B ER0 - G ER0 +STONEBRAKER S T AA1 - N IH0 - B R AH0 - K ER0 +STONEBRAKER(2) S T OW1 N - B R EY0 - K ER0 +STONEBURNER S T OW1 N - B ER2 - N ER0 +STONECIPHER S T OW1 N - S AY2 - F ER0 +STONECUTTER S T OW1 N - K AH2 - T ER0 +STONECUTTERS S T OW1 N - K AH2 - T ER0 Z +STONECYPHER S T AA1 - N IH0 - S IH0 - F ER0 +STONECYPHER(2) S T OW1 N - S AY0 - F ER0 +STONED S T OW1 N D +STONEHAM S T OW1 - N AH0 M +STONEHENGE S T OW1 N - HH EH2 N JH +STONEHILL S T OW1 N - HH IH2 L +STONEHOCKER S T OW1 N - HH AA2 - K ER0 +STONEHOUSE S T OW1 N - HH AW2 S +STONEKING S T OW1 N - K IH2 NG +STONEMAN S T OW1 N - M AH0 N +STONER S T OW1 - N ER0 +STONERIDGE S T OW1 N - R IH2 JH +STONEROCK S T OW1 N - R AA2 K +STONES S T OW1 N Z +STONES' S T OW1 N Z +STONESIFER S T OW1 N - S AY2 - F ER0 +STONESTREET S T OW1 N - S T R IY2 T +STONEWALL S T OW1 N - W AO2 L +STONEWALLED S T OW1 N - W AO2 L D +STONEWALLING S T OW1 N - W AO2 - L IH0 NG +STONEWARE S T OW1 N - W EH2 R +STONEY S T OW1 - N IY0 +STONG S T AO1 NG +STONGE S T AA1 N JH +STONING S T OW1 - N IH0 NG +STONY S T OW1 - N IY0 +STONYFIELD S T OW1 - N IY0 - F IY2 L D +STOOD S T UH1 D +STOOGE S T UW1 JH +STOOGES S T UW1 - JH IH0 Z +STOOKEY S T UW1 - K IY0 +STOOKSBURY S T UW1 K S - B EH0 - R IY0 +STOOL S T UW1 L +STOOLS S T UW1 L Z +STOOP S T UW1 P +STOOPED S T UW1 P T +STOOPING S T UW1 - P IH0 NG +STOOPS S T UW1 P S +STOOTS S T UW1 T S +STOP S T AA1 P +STOPA S T OW1 - P AH0 +STOPGAP S T AA1 P - G AE2 P +STOPHER S T AA1 - F ER0 +STOPKA S T OW1 P - K AH0 +STOPLIGHT S T AA1 P - L AY2 T +STOPLIGHTS S T AA1 P - L AY2 T S +STOPOVER S T AA1 P - OW2 - V ER0 +STOPOVERS S T AA1 P - OW2 - V ER0 Z +STOPPAGE S T AA1 - P IH0 JH +STOPPAGES S T AA1 - P IH0 - JH IH0 Z +STOPPED S T AA1 P T +STOPPEL S T AA1 - P AH0 L +STOPPER S T AA1 - P ER0 +STOPPERS S T AA1 - P ER0 Z +STOPPING S T AA1 - P IH0 NG +STOPS S T AA1 P S +STOPWATCH S T AA1 P - W AA2 CH +STOPWATCHES S T AA1 P - W AA2 - CH IH0 Z +STORA S T AO1 - R AH0 +STORA'S S T AO1 - R AH0 Z +STORAGE S T AO1 - R AH0 JH +STORAGE(2) S T AO1 - R IH0 JH +STORAGETEK S T AO2 - R AH0 JH - T EH2 K +STORASKA S T AO2 - R AE1 - S AH0 +STORBECK S T AO1 R - B EH0 K +STORCH S T AO1 R K +STORCK S T AO1 R K +STORDAHL S T AO1 R - D AA0 L +STORE S T AO1 R +STORE'S S T AO1 R Z +STORED S T AO1 R D +STOREFRONT S T AO1 R - F R AA2 N T +STOREFRONTS S T AO1 R - F R AA2 N T S +STOREHOUSE S T AO1 R - HH AW2 S +STOREHOUSE'S S T AO1 R - HH AW2 - S IH0 Z +STOREHOUSES S T AO1 R - HH AW2 - Z AH0 Z +STOREKEEPER S T AO1 R - K IY2 - P ER0 +STOREKEEPERS S T AO1 R - K IY2 - P ER0 Z +STORER S T AO1 - R ER0 +STORER'S S T AO1 - R ER0 Z +STOREROOM S T AO1 - R R UW2 M +STORES S T AO1 R Z +STORES' S T AO1 R Z +STOREY S T AO1 - R IY0 +STORFER S T AO1 R - F ER0 +STORIE S T AO1 - R IY0 +STORIED S T AO1 - R IY0 D +STORIES S T AO1 - R IY0 Z +STORING S T AO1 - R IH0 NG +STORK S T AO1 R K +STORLIE S T AO1 R - L IY0 +STORM S T AO1 R M +STORM'S S T AO1 R M Z +STORMED S T AO1 R M D +STORMENT S T AO1 R - M AH0 N T +STORMER S T AO1 R - M ER0 +STORMES S T AO1 R M Z +STORMIEST S T AO1 R - M IY0 - IH0 S T +STORMING S T AO1 R - M IH0 NG +STORMONT S T AO1 R - M OW0 N T +STORMS S T AO1 R M Z +STORMY S T AO1 R - M IY0 +STORR S T AO1 R +STORROW S T AA1 - R OW0 +STORRS S T AO1 R Z +STORTI S T AO1 R - T IY0 +STORTING S T AO1 R - T IH0 NG +STORTS S T AO1 R T S +STORTZ S T AO1 R T S +STORY S T AO1 - R IY0 +STORY'S S T AO1 - R IY0 Z +STORYBOARD S T AO1 - R IY0 - B AO2 R D +STORYBOOK S T AO1 - R IY0 - B UH2 K +STORYBOOKS S T AO1 - R IY0 - B UH2 K S +STORYLINE S T AO1 - R IY0 - L AY2 N +STORYLINES S T AO1 - R IY0 - L AY2 N Z +STORYTELLER S T AO1 - R IY0 - T EH2 - L ER0 +STORYTELLERS S T AO1 - R IY0 - T EH2 - L ER0 Z +STORYTELLING S T AO1 - R IY0 - T EH2 - L IH0 NG +STORZ S T AO1 R Z +STOSSEL S T AA1 - S AH0 L +STOSSEL'S S T AA1 - S AH0 L Z +STOTLER S T AA1 T - L ER0 +STOTT S T AA1 T +STOTTLEMYER S T AA1 - T AH0 L - M AY0 - ER0 +STOTTS S T AA1 T S +STOTZ S T AA1 T S +STOUDEMIRE S T UW1 - D AH0 - M AY2 R +STOUDENMIRE S T UW1 - D AH0 N - M AY2 R +STOUDER S T AH1 - D ER0 +STOUDT S T AH1 D T +STOUFFER S T AH1 - F ER0 +STOUFFER(2) S T OW1 - F ER0 +STOUFFS S T AH1 F S +STOUFFS(2) S T OW1 F S +STOUGH S T AH1 F +STOUGHTON S T OW1 - T AH0 N +STOUP S T UW1 P +STOUT S T AW1 T +STOUTE S T AW1 T +STOUTENBURG S T AW1 - T AH0 N - B ER0 G +STOUTLY S T AW1 T - L IY0 +STOUTNESS S T AW1 T - N AH0 S +STOVALL S T OW1 - V AA0 L +STOVE S T OW1 V +STOVER S T OW1 - V ER0 +STOVES S T OW1 V Z +STOW S T OW1 +STOWE S T OW1 +STOWED S T OW1 D +STOWELL S T AA1 - W EH0 L +STOWER S T OW1 - ER0 +STOWERS S T OW1 - ER0 Z +STOY S T OY1 +STOYER S T OY1 - ER0 +STRACENER S T R AE1 - S IY0 - N ER0 +STRACHAN S T R AE1 - CH AH0 N +STRACK S T R AE1 K +STRACKE S T R AE1 K +STRADA S T R AA1 - D AH0 +STRADDLE S T R AE1 - D AH0 L +STRADDLED S T R AE1 - D AH0 L D +STRADDLES S T R AE1 - D AH0 L Z +STRADDLING S T R AE1 D - L IH0 NG +STRADER S T R EY1 - D ER0 +STRADFORD S T R AE1 D - F ER0 D +STRADIVARIUS S T R AE2 - D IH0 - V EH1 - R IY0 - AH0 S +STRADLEY S T R AE1 D - L IY0 +STRADLING S T R AE1 D - L IH0 NG +STRAFE S T R EY1 F +STRAFING S T R EY1 - F IH0 NG +STRAGGLE S T R AE1 - G AH0 L +STRAGGLED S T R AE1 - G AH0 L D +STRAGGLER S T R AE1 - G L ER0 +STRAGGLERS S T R AE1 - G L ER0 Z +STRAHAN S T R AE1 - HH AH0 N +STRAHL S T R AA1 L +STRAHLE S T R EY1 - HH AH0 L +STRAHLER S T R AA1 - L ER0 +STRAHM S T R AA1 M +STRAIGHT S T R EY1 T +STRAIGHTAWAY S T R EY1 T - AH0 - W EY2 +STRAIGHTEDGE S T R EY1 - T EH2 JH +STRAIGHTEN S T R EY1 - T AH0 N +STRAIGHTENED S T R EY1 - T AH0 N D +STRAIGHTENING S T R EY1 - T AH0 N - IH0 NG +STRAIGHTENING(2) S T R EY1 T - N IH0 NG +STRAIGHTENS S T R EY1 - T AH0 N Z +STRAIGHTER S T R EY1 - T ER0 +STRAIGHTFORWARD S T R EY1 T - F AO1 R - W ER0 D +STRAIGHTFORWARDLY S T R EY2 T - F AO1 R - W ER0 D - L IY0 +STRAIGHTS S T R EY1 T S +STRAIN S T R EY1 N +STRAINED S T R EY1 N D +STRAINING S T R EY1 - N IH0 NG +STRAINS S T R EY1 N Z +STRAIT S T R EY1 T +STRAITJACKET S T R EY1 T - JH AE2 - K AH0 T +STRAITS S T R EY1 T S +STRAKA S T R AA1 - K AH0 +STRAKER S T R EY1 - K ER0 +STRALEY S T R AE1 - L IY0 +STRAM S T R AE1 M +STRANAHAN S T R AE1 - N AH0 - HH AE0 N +STRAND S T R AE1 N D +STRANDBERG S T R AE1 N D - B ER0 G +STRANDE S T R AE1 N D +STRANDED S T R AE1 N - D AH0 D +STRANDED(2) S T R AE1 N - D IH0 D +STRANDING S T R AE1 N - D IH0 NG +STRANDLINE S T R AE1 N D - L AY2 N +STRANDLINE(2) S T R AE1 N - L AY2 N +STRANDLINES S T R AE1 N D - L AY2 N Z +STRANDLINES(2) S T R AE1 N - L AY2 N Z +STRANDS S T R AE1 N D Z +STRANG S T R AE1 NG +STRANGE S T R EY1 N JH +STRANGELOVE S T R EY1 N - JH L AH2 V +STRANGELY S T R EY1 N JH - L IY0 +STRANGENESS S T R EY1 N JH - N AH0 S +STRANGER S T R EY1 N - JH ER0 +STRANGER'S S T R EY1 N - JH ER0 Z +STRANGERS S T R EY1 N - JH ER0 Z +STRANGEST S T R EY1 N - JH IH0 S T +STRANGIS S T R AE1 N - JH IH0 S +STRANGLE S T R AE1 NG - G AH0 L +STRANGLED S T R AE1 NG - G AH0 L D +STRANGLEHOLD S T R AE1 NG - G AH0 L - HH OW2 L D +STRANGLER S T R AE1 NG - G L ER0 +STRANGLING S T R AE1 NG - G AH0 - L IH0 NG +STRANGLING(2) S T R AE1 NG - G L IH0 NG +STRANGULATE S T R AE1 NG - G Y AH0 - L EY2 T +STRANGULATION S T R AE2 NG - G Y AH0 - L EY1 - SH AH0 N +STRANGULATIONS S T R AE2 NG - G Y AH0 - L EY1 - SH AH0 N Z +STRANGWAYES S T R AE1 NG - W EY2 Z +STRANO S T R AA1 - N OW0 +STRANSKY S T R AE1 N S - K IY0 +STRAP S T R AE1 P +STRAPPED S T R AE1 P T +STRAPPING S T R AE1 - P IH0 NG +STRAPS S T R AE1 P S +STRASBERG S T R AE1 S - B ER0 G +STRASBOURG S T R AE1 S - B AO2 R G +STRASBURG S T R AE1 S - B ER0 G +STRASBURGER S T R AE1 S - B ER0 - G ER0 +STRASSBURG S T R AE1 S - B ER0 G +STRASSBURGER S T R AE1 S - B ER0 - G ER0 +STRASSER S T R AE1 - S ER0 +STRASSMAN S T R AE1 S - M AH0 N +STRASSNER S T R AE1 S - N ER0 +STRASZHEIM S T R AE1 S - HH AY2 M +STRATA S T R AE1 - T AH0 +STRATACOM S T R AE1 - T AH0 - K AA0 M +STRATAGEMS S T R AE1 - T AH0 - JH AH0 M Z +STRATAS S T R AE1 - T AH0 Z +STRATE S T R EY1 T +STRATEGEM S T R AE1 - T IH0 - JH EH0 M +STRATEGIC S T R AH0 - T IY1 - JH IH0 K +STRATEGICAL S T R AH0 - T IY1 - JH IH0 - K AH0 L +STRATEGICALLY S T R AH0 - T IY1 - JH IH0 K - L IY0 +STRATEGIES S T R AE1 - T AH0 - JH IY0 Z +STRATEGIST S T R AE1 - T IH0 - JH IH0 S T +STRATEGISTS S T R AE1 - T IH0 - JH IH0 S T S +STRATEGISTS(2) S T R AE1 - T IH0 - JH IH0 S S +STRATEGISTS(3) S T R AE1 - T IH0 - JH IH0 S +STRATEGIZE S T R AE1 - T AH0 - JH AY0 Z +STRATEGIZING S T R AE1 - T AH0 - JH AY0 - Z IH0 NG +STRATEGY S T R AE1 - T AH0 - JH IY0 +STRATEGY'S S T R AE1 - T AH0 - JH IY0 Z +STRATER S T R EY1 - T ER0 +STRATFORD S T R AE1 T - F ER0 D +STRATHMAN S T R AE1 TH - M AH0 N +STRATIFIED S T R AE1 - T AH0 - F AY2 D +STRATIFY S T R AE1 - T AH0 - F AY2 +STRATIGRAPHIC S T R AE2 - T AH0 - G R AE1 - F IH0 K +STRATMAN S T R AE1 T - M AH0 N +STRATMANN S T R AE1 T - M AH0 N +STRATOCASTER S T R AE1 - T OW0 - K AE2 - S T ER0 +STRATOFLEX S T R AE1 - T OW0 - F L EH2 K S +STRATOSPHERE S T R AE1 - T AH0 - S F IH2 R +STRATOSPHERIC S T R AE2 - T AH0 - S F IH1 - R IH0 K +STRATTON S T R AE1 - T AH0 N +STRATUM S T R AE1 - T AH0 M +STRATUS S T R AE1 - T AH0 S +STRATUS'S S T R AE1 - T AH0 - S IH0 Z +STRAUB S T R AW1 B +STRAUBE S T R AW1 B +STRAUCH S T R AW1 K +STRAUGHAN S T R AO1 - AH0 N +STRAUGHN S T R AO1 N +STRAUGHTER S T R AO1 - T ER0 +STRAUM S T R AW1 M +STRAUM(2) S T R AA1 M +STRAUS S T R AW1 S +STRAUSBAUGH S T R AW1 S - B AW0 +STRAUSE S T R AW1 S +STRAUSER S T R AW1 - S ER0 +STRAUSS S T R AW1 S +STRAUSS'S S T R AW1 - S IH0 Z +STRAUSSER S T R AW1 - S ER0 +STRAVINSKY S T R AH0 - V IH1 N - S K IY0 +STRAVINSKY'S S T R AH0 - V IH1 N - S K IY0 Z +STRAW S T R AO1 +STRAWBERRIES S T R AO1 - B EH2 - R IY0 Z +STRAWBERRY S T R AO1 - B EH2 - R IY0 +STRAWBRIDGE S T R AO1 - B R IH2 JH +STRAWDER S T R AO1 - D ER0 +STRAWDERMAN S T R AO1 - D ER0 - M AH0 N +STRAWN S T R AO1 N +STRAWS S T R AO1 Z +STRAWSER S T R AO1 - Z ER0 +STRAY S T R EY1 +STRAYED S T R EY1 D +STRAYER S T R EY1 - ER0 +STRAYHORN S T R EY1 - HH ER0 N +STRAYING S T R EY1 - IH0 NG +STRAYS S T R EY1 Z +STREAK S T R IY1 K +STREAKED S T R IY1 K T +STREAKER S T R IY1 - K ER0 +STREAKING S T R IY1 - K IH0 NG +STREAKS S T R IY1 K S +STREAM S T R IY1 M +STREAMED S T R IY1 M D +STREAMER S T R IY1 - M ER0 +STREAMERS S T R IY1 - M ER0 Z +STREAMING S T R IY1 - M IH0 NG +STREAMLINE S T R IY1 M - L AY2 N +STREAMLINED S T R IY1 M - L AY2 N D +STREAMLINING S T R IY1 M - L AY2 - N IH0 NG +STREAMS S T R IY1 M Z +STREATER S T R IY1 - T ER0 +STREB S T R EH1 B +STREBE S T R IY1 B +STREBECK S T R IY1 - B EH0 K +STREBEL S T R EH1 - B AH0 L +STRECK S T R EH1 K +STRECKER S T R EH1 - K ER0 +STREED S T R IY1 D +STREEP S T R IY1 P +STREEPER S T R IY1 - P ER0 +STREET S T R IY1 T +STREET'S S T R IY1 T S +STREETCAR S T R IY1 T - K AA2 R +STREETER S T R IY1 - T ER0 +STREETERS S T R IY1 - T ER0 Z +STREETMAN S T R IY1 T - M AH0 N +STREETS S T R IY1 T S +STREETT S T R IY1 T +STREETWISE S T R IY1 T - W AY2 Z +STREETY S T R IY1 - T IY0 +STREFF S T R EH1 F +STREGE S T R IY1 JH +STREHL S T R EH1 L +STREHLE S T R EH1 L +STREHLOW S T R EH1 - L OW0 +STREIB S T R AY1 B +STREIBER S T R AY1 - B ER0 +STREICH S T R AY1 K +STREICHER S T R AY1 - K ER0 +STREIFF S T R AY1 F +STREIGHT S T R EY1 T +STREIKER S T R AY1 - K ER0 +STREISAND S T R AY1 - Z AH0 N D +STREISAND'S S T R AY1 - Z AH0 N D Z +STREISAND'S(2) S T R AY1 - S AE2 N D Z +STREISAND(2) S T R AY1 - S AE2 N D +STREIT S T R AY1 T +STREITMATTER S T R AY1 T - M AH0 - T ER0 +STRELOW S T R EH1 - L OW0 +STRENG S T R EH1 NG +STRENGER S T R EH1 NG - G ER0 +STRENGTH S T R EH1 NG K TH +STRENGTH(2) S T R EH1 NG TH +STRENGTHEN S T R EH1 NG - TH AH0 N +STRENGTHENED S T R EH1 NG - TH AH0 N D +STRENGTHENING S T R EH1 NG - TH AH0 N - IH0 NG +STRENGTHENS S T R EH1 NG - TH AH0 N Z +STRENGTHS S T R EH1 NG K TH S +STRENGTHS(2) S T R EH1 NG TH S +STRENIO S T R IY1 - N IY0 - OW0 +STRENUOUS S T R EH1 - N Y UW0 - AH0 S +STRENUOUSLY S T R EH1 - N Y UW0 - AH0 S - L IY0 +STREP S T R EH1 P +STREPS S T R EH1 P S +STREPTOCOCCUS S T R EH2 P - T AH0 - K AO1 - K AH0 S +STREPTOKINASE S T R EH2 P - T AH0 - K AY1 - N EY2 S +STREPTOKINASE(2) S T R EH2 P - T OW0 - K AY1 - N EY2 Z +STRESS S T R EH1 S +STRESSED S T R EH1 S T +STRESSES S T R EH1 - S AH0 Z +STRESSES(2) S T R EH1 - S IH0 Z +STRESSFUL S T R EH1 S - F AH0 L +STRESSING S T R EH1 - S IH0 NG +STRESSOR S T R EH1 - S ER0 +STRESSORS S T R EH1 - S ER0 Z +STRETCH S T R EH1 CH +STRETCHED S T R EH1 CH T +STRETCHER S T R EH1 - CH ER0 +STRETCHER-BEARER S T R EH1 - CH ER0 - B EH1 - R ER0 +STRETCHER-BEARERS S T R EH1 - CH ER0 - B EH1 - R ER0 Z +STRETCHERS S T R EH1 - CH ER0 Z +STRETCHES S T R EH1 - CH AH0 Z +STRETCHES(2) S T R EH1 - CH IH0 Z +STRETCHING S T R EH1 - CH IH0 NG +STRETTO S T R EH1 - T OW2 +STREVIG S T R EH1 - V IH0 G +STREW S T R UW1 +STREWN S T R UW1 N +STREY S T R EY1 +STRIAR S T R AY1 R +STRIBLING S T ER1 - AH0 - B AH0 L - IH0 NG +STRIBLING(2) S T R IH1 - B L IH0 NG +STRICK S T R IH1 K +STRICKEN S T R IH1 - K AH0 N +STRICKER S T R IH1 - K ER0 +STRICKLAND S T R IH1 - K L AH0 N D +STRICKLEN S T R IH1 - K AH0 - L AH0 N +STRICKLER S T R IH1 - K L ER0 +STRICKLIN S T R IH1 - K L IH0 N +STRICKLING S T R IH1 - K L IH0 NG +STRICT S T R IH1 K T +STRICTER S T R IH1 K - T ER0 +STRICTEST S T R IH1 K - T AH0 S T +STRICTLY S T R IH1 K T - L IY0 +STRICTURE S T R IH1 K - CH ER0 +STRICTURES S T R IH1 K - CH ER0 Z +STRIDE S T R AY1 D +STRIDENCY S T R AY1 - D AH0 N - S IY0 +STRIDENT S T R AY1 - D AH0 N T +STRIDENTLY S T R AY1 - D AH0 N T - L IY0 +STRIDER S T R AY1 - D ER0 +STRIDES S T R AY1 D Z +STRIDING S T R AY1 - D IH0 NG +STRIEBER S T R AY1 - B ER0 +STRIEGEL S T R IY1 - G AH0 L +STRIEKER S T R IY1 - K ER0 +STRIEKER'S S T R IY1 - K ER0 Z +STRIETER S T R IY1 - T ER0 +STRIFE S T R AY1 F +STRIFES S T R AY1 F S +STRIKE S T R AY1 K +STRIKE'S S T R AY1 K S +STRIKEBREAKER S T R AY1 K - B R EY2 - K ER0 +STRIKEBREAKERS S T R AY1 K - B R EY2 - K ER0 Z +STRIKEOUT S T R AY1 K - AW2 T +STRIKEOUTS S T R AY1 K - AW2 T S +STRIKER S T R AY1 - K ER0 +STRIKERS S T R AY1 - K ER0 Z +STRIKERS' S T R AY1 - K ER0 Z +STRIKES S T R AY1 K S +STRIKES' S T R AY1 K S +STRIKING S T R AY1 - K IH0 NG +STRIKINGLY S T R AY1 - K IH0 NG - L IY0 +STRIMPLE S T R IH1 M - P AH0 L +STRINDEN S T R IH1 N - D AH0 N +STRINE S T R AY1 N +STRING S T R IH1 NG +STRINGED S T R IH1 NG D +STRINGENCY S T R IH1 N - JH AH0 N - S IY0 +STRINGENT S T R IH1 N - JH AH0 N T +STRINGENTLY S T R IH1 N - JH AH0 N T - L IY0 +STRINGER S T R IH1 - NG ER0 +STRINGERS S T R IH1 - NG ER0 Z +STRINGFELLOW S T R IH1 NG - F EH2 - L OW0 +STRINGFIELD S T R IH1 NG - F IY2 L D +STRINGHAM S T R IH1 NG - HH AE2 M +STRINGING S T R IH1 - NG IH0 NG +STRINGS S T R IH1 NG Z +STRINGY S T R IH1 - NG IY0 +STRIP S T R IH1 P +STRIP'S S T R IH1 P S +STRIPE S T R AY1 P +STRIPED S T R AY1 P T +STRIPER S T R AY1 - P ER0 +STRIPERS S T R AY1 - P ER0 Z +STRIPES S T R AY1 P S +STRIPLIN S T R IH1 - P L IH0 N +STRIPLING S T R IH1 - P L IH0 NG +STRIPPED S T R IH1 P T +STRIPPER S T R IH1 - P ER0 +STRIPPERS S T R IH1 - P ER0 Z +STRIPPING S T R IH1 - P IH0 NG +STRIPS S T R IH1 P S +STRIPTEASE S T R IH1 P - T IY2 Z +STRITE S T R AY1 T +STRITTMATTER S T R IH1 T - M AH0 - T ER0 +STRIVE S T R AY1 V +STRIVEN S T R IH1 - V AH0 N +STRIVES S T R AY1 V Z +STRIVING S T R AY1 - V IH0 NG +STRIVINGS S T R AY1 - V IH0 NG Z +STRNAD S T ER1 - N AE0 D +STROBE S T R OW1 B +STROBEL S T R OW1 - B AH0 L +STROBEL'S S T R OW1 - B AH0 L Z +STROBER S T R OW1 - B ER0 +STROBL S T R AA1 - B AH0 L +STROBLE S T R OW1 - B AH0 L +STROBRIDGE S T R AA1 - B R IH0 JH +STROCK S T R AA1 K +STRODE S T R OW1 D +STRODER S T R OW1 - D ER0 +STROEBEL S T R OW1 - B AH0 L +STROESSNER S T R OW1 S - N ER0 +STROGANOFF S T R OW1 - G AH0 - N AO2 F +STROH S T R OW1 +STROHECKER S T R OW1 - IH0 - K ER0 +STROHL S T R OW1 L +STROHM S T R OW1 M +STROHMAIER S T R OW1 - M AY0 - ER0 +STROHMAN S T R OW1 - M AH0 N +STROHMEIER S T R OW1 - M AY0 - ER0 +STROHMEYER S T R OW1 - M AY0 - ER0 +STROIK S T R OY1 K +STROJNY S T R OW1 Y - N IY0 +STROKE S T R OW1 K +STROKED S T R OW1 K T +STROKES S T R OW1 K S +STROKING S T R OW1 - K IH0 NG +STROLE S T R OW1 L +STROLL S T R OW1 L +STROLLED S T R OW1 L D +STROLLER S T R OW1 - L ER0 +STROLLERS S T R OW1 - L ER0 Z +STROLLING S T R OW1 - L IH0 NG +STROLLO S T R AA1 - L OW0 +STROLLS S T R OW1 L Z +STROM S T R AA1 M +STROMA S T R OW1 - M AH0 +STROMAIN S T R AA1 - M AY0 N +STROMAN S T R OW1 - M AH0 N +STROMBECK S T R AA1 M - B EH2 K +STROMBERG S T R AA1 M - B ER0 G +STROMBOLI S T R AA2 M - B OW1 - L IY0 +STROMBOLI'S S T R AA2 M - B OW1 - L IY0 Z +STROME S T R OW1 M +STROMER S T R OW1 - M ER0 +STROMGREN S T R AA1 M - G R EH0 N +STROMME S T R AA1 M +STROMMEN S T R AA1 - M AH0 N +STROMQUIST S T R AA1 M - K W IH2 S T +STRONACH S T R AA1 - N AH0 K +STRONG S T R AO1 NG +STRONGER S T R AO1 NG - ER0 +STRONGER(2) S T R AO1 NG - G ER0 +STRONGEST S T R AO1 NG - G AH0 S T +STRONGHOLD S T R AO1 NG - HH OW2 L D +STRONGHOLDS S T R AO1 NG - HH OW2 L D Z +STRONGLY S T R AO1 NG - L IY0 +STRONGMAN S T R AO1 NG - M AE2 N +STRONTIUM S T R AA1 N - T IY0 - AH0 M +STROOCK S T R UH1 K +STROOP S T R UW1 P +STROOPE S T R UW1 P +STROOT S T R UW1 T +STROPE S T R OW1 P +STROSCHEIN S T R AO1 - SH AY0 N +STROSNIDER S T R AA1 S - N AY0 - D ER0 +STROSSEN S T R AO1 - S EH0 N +STROSSEN(2) S T R AO1 - S IH0 N +STROTHER S T R AA1 - DH ER0 +STROTHERS S T R AH1 - DH ER0 Z +STROTHMAN S T R AA1 TH - M AH0 N +STROUD S T R AW1 D +STROUGH S T R AW1 +STROUP S T R UW1 P +STROUPE S T R UW1 P +STROUSE S T R AW1 S +STROUT S T R AW1 T +STROUTH S T R AW1 TH +STROVE S T R OW1 V +STROW S T R OW1 +STROZIER S T R OW1 - Z IY0 - ER0 +STRUB S T R AH1 B +STRUBBE S T R AH1 B +STRUBE S T R UW1 B +STRUBEL S T R UW1 - B AH0 L +STRUBLE S T R UW1 - B AH0 L +STRUCHEN S T R AH1 - K AH0 N +STRUCK S T R AH1 K +STRUCKMAN S T R AH1 K - M AH0 N +STRUCTURAL S T R AH1 K - CH ER0 - AH0 L +STRUCTURALLY S T R AH1 K - CH ER0 - AH0 - L IY0 +STRUCTURE S T R AH1 K - CH ER0 +STRUCTURE'S S T R AH1 K - CH ER0 Z +STRUCTURED S T R AH1 K - CH ER0 D +STRUCTURES S T R AH1 K - CH ER0 Z +STRUCTURING S T R AH1 K - CH ER0 - IH0 NG +STRUEBING S T R UH1 - B IH0 NG +STRUGGLE S T R AH1 - G AH0 L +STRUGGLED S T R AH1 - G AH0 L D +STRUGGLES S T R AH1 - G AH0 L Z +STRUGGLING S T R AH1 - G AH0 - L IH0 NG +STRUGGLING(2) S T R AH1 - G L IH0 NG +STRUM S T R AH1 M +STRUMMING S T R AH1 - M IH0 NG +STRUMS S T R AH1 M Z +STRUNG S T R AH1 NG +STRUNK S T R AH1 NG K +STRUNK'S S T R AH1 NG K S +STRUPP S T R AH1 P +STRUSS S T R AH1 S +STRUT S T R AH1 T +STRUTHERS S T R AH1 - DH ER0 Z +STRUTS S T R AH1 T S +STRUTTING S T R AH1 - T IH0 NG +STRUTTON S T R AH1 - T AH0 N +STRUTZ S T R AH1 T S +STRUVE S T R UW1 V +STRYCHARZ S T R IH1 - HH ER0 Z +STRYCHNINE S T R IH1 K - N AY2 N +STRYKER S T R AY1 - K ER0 +STRZELECKI S T R EH2 - Z IH0 - L EH1 T S - K IY0 +STRZELECKI(2) S T ER2 - Z IH0 - L EH1 T S - K IY0 +STU S T UW1 +STUARD S T UW1 - ER0 D +STUART S T UW1 - ER0 T +STUART'S S T UW1 - ER0 T S +STUART'S(2) S T Y UW1 - ER0 T S +STUART'S(3) S T AO1 R T S +STUART(2) S T Y UW1 - ER0 T +STUART(3) S T AO1 R T +STUARTS S T UW1 - ER0 T S +STUB S T AH1 B +STUBBE S T AH1 B +STUBBED S T AH1 B D +STUBBINS S T AH1 - B IH0 N Z +STUBBLE S T AH1 - B AH0 L +STUBBLEFIELD S T AH1 - B AH0 L - F IY2 L D +STUBBORN S T AH1 - B ER0 N +STUBBORNLY S T AH1 - B ER0 N - L IY0 +STUBBORNNESS S T AH1 - B ER0 N - N AH0 S +STUBBORNNESS(2) S T AH1 - B ER0 - N AH0 S +STUBBS S T AH1 B Z +STUBBY S T AH1 - B IY0 +STUBER S T UW1 - B ER0 +STUBS S T AH1 B Z +STUCCO S T AH1 - K OW0 +STUCHELL S T AH1 - K AH0 L +STUCK S T AH1 K +STUCKE S T AH1 K +STUCKER S T AH1 - K ER0 +STUCKERT S T AH1 - K ER0 T +STUCKEY S T AH1 - K IY0 +STUCKI S T AH1 - K IY0 +STUCKMAN S T AH1 K - M AH0 N +STUCKY S T AH1 - K IY0 +STUD S T AH1 D +STUDDARD S T AH1 - D ER0 D +STUDDED S T AH1 - D IH0 D +STUDDS S T AH1 D Z +STUDE S T UW1 D +STUDEBAKER S T UW1 - D AH0 - B EY2 - K ER0 +STUDEMAN S T UW1 D - M AH0 N +STUDEMAN(2) S T UW1 - D AH0 - M AH0 N +STUDENT S T UW1 - D AH0 N T +STUDENT'S S T UW1 - D AH0 N T S +STUDENTS S T UW1 - D AH0 N T S +STUDENTS' S T UW1 - D AH0 N T S +STUDER S T UW1 - D ER0 +STUDIED S T AH1 - D IY0 D +STUDIES S T AH1 - D IY0 Z +STUDIO S T UW1 - D IY0 - OW2 +STUDIO'S S T UW1 - D IY0 - OW2 Z +STUDIOS S T UW1 - D IY0 - OW2 Z +STUDIOS' S T UW1 - D IY0 - OW2 Z +STUDIOUS S T UW1 - D IY0 - AH0 S +STUDIOUSLY S T UW1 - D IY0 - AH0 S - L IY0 +STUDLEY S T AH1 D - L IY0 +STUDNICKA S T AH0 D - N IH1 - S K AH0 +STUDS S T AH1 D Z +STUDSTILL S T AH1 D - S T IH2 L +STUDT S T AH1 D T +STUDTGARD S T AH1 T - G AA2 R D +STUDY S T AH1 - D IY0 +STUDY'S S T AH1 - D IY0 Z +STUDYING S T AH1 - D IY0 - IH0 NG +STUDZINSKI S T AH0 - JH IH1 N - S K IY0 +STUEBE S T UW1 B +STUEBER S T UH1 - B ER0 +STUECK S T UW1 K +STUEVE S T UW1 V +STUEWE S T UW1 +STUFF S T AH1 F +STUFF'S S T AH1 F S +STUFF-IT S T AH1 - F IH0 T +STUFF-IT'S S T AH1 - F IH0 T S +STUFFED S T AH1 F T +STUFFER S T AH1 - F ER0 +STUFFING S T AH1 - F IH0 NG +STUFFLEBEAM S T AH1 - F AH0 L - B IY2 M +STUFFLEBEAN S T AH1 - F AH0 L - B IY2 N +STUFFS S T AH1 F S +STUFFY S T AH1 - F IY0 +STUHLER S T UW1 - L ER0 +STUHR S T ER1 +STUHR(2) S T UH1 R +STUKA S T UW1 - K AH0 +STUKEL S T UW1 - K AH0 L +STUKES S T UW1 K S +STUKEY S T AH1 - K IY0 +STULL S T AH1 L +STULLER S T AH1 - L ER0 +STULTIFY S T AH1 L - T AH0 - F AY2 +STULTIFYING S T AH1 L - T AH0 - F AY2 - IH0 NG +STULTS S T AH1 L T S +STULTZ S T AH1 L T S +STUM S T AH1 M +STUMBAUGH S T AH1 M - B AO2 +STUMBLE S T AH1 M - B AH0 L +STUMBLED S T AH1 M - B AH0 L D +STUMBLES S T AH1 M - B AH0 L Z +STUMBLING S T AH1 M - B AH0 L - IH0 NG +STUMBLING(2) S T AH1 M - B L IH0 NG +STUMBO S T AH1 M - B OW0 +STUMM S T AH1 M +STUMP S T AH1 M P +STUMPAGE S T AH1 M - P IH0 JH +STUMPE S T AH1 M P +STUMPED S T AH1 M P T +STUMPF S T AH1 M P F +STUMPFF S T AH1 M P F +STUMPH S T AH1 M F +STUMPING S T AH1 M - P IH0 NG +STUMPO S T AH1 M - P OW0 +STUMPP S T AH1 M P +STUMPS S T AH1 M P S +STUN S T AH1 N +STUNG S T AH1 NG +STUNK S T AH1 NG K +STUNNED S T AH1 N D +STUNNING S T AH1 - N IH0 NG +STUNNINGLY S T AH1 - N IH0 NG - L IY0 +STUNT S T AH1 N T +STUNTED S T AH1 N - T IH0 D +STUNTS S T AH1 N T S +STUNTZ S T AH1 N T S +STUPA S T UW1 - P AH0 +STUPAK S T UW1 - P AH0 K +STUPAR S T UW1 - P ER0 +STUPAY S T UW0 - P EY1 +STUPENDOUS S T UW0 - P EH1 N - D AH0 S +STUPID S T UW1 - P AH0 D +STUPID(2) S T UW1 - P IH0 D +STUPIDEST S T UW1 - P IH0 - D AH0 S T +STUPIDITY S T UW0 - P IH1 - D IH0 - T IY0 +STUPIDLY S T UW1 - P AH0 D - L IY0 +STUPKA S T AH1 P - K AH0 +STUPOR S T UW1 - P ER0 +STUPP S T AH1 P +STUPSKI S T AH1 P - S K IY0 +STURBRIDGE S T ER1 - B R IH2 JH +STURC S T ER1 K +STURDEVANT S T ER1 - D IH0 - V AH0 N T +STURDHAL S T ER1 - D AA0 L +STURDIER S T ER1 - D IY0 - ER0 +STURDINESS S T ER1 - D IY0 - N AH0 S +STURDIVANT S T ER1 - D IH0 - V AH0 N T +STURDY S T ER1 - D IY0 +STURGELL S T ER1 - G AH0 L +STURGEON S T ER1 - JH AH0 N +STURGEON(2) S T ER1 - JH IH0 N +STURGEONS S T ER1 - JH AH0 N Z +STURGES S T ER1 - JH IH0 Z +STURGESS S T ER1 - G IH0 S +STURGILL S T ER1 - G AH0 L +STURGIS S T ER1 - JH IH0 S +STURKIE S T ER1 - K IY0 +STURM S T ER1 M +STURMAN S T ER1 - M AH0 N +STURMANS S T ER1 - M AH0 N Z +STURMER S T ER1 - M ER0 +STURN S T ER1 N +STURROCK S T AO1 - R AH0 K +STURTEVANT S T ER1 - T AH0 - V AH0 N T +STURTZ S T ER1 T S +STURZA S T ER1 - Z AH0 +STUTES S T UW1 T S +STUTESMAN S T UW1 T S - M AH0 N +STUTEVILLE S T UW1 T - V IH2 L +STUTHEIT S T AH1 - TH AY0 T +STUTLER S T AH1 T - L ER0 +STUTNER S T AH1 T - N ER0 +STUTSMAN S T AH1 T S - M AH0 N +STUTTER S T AH1 - T ER0 +STUTTERING S T AH1 - T ER0 - IH0 NG +STUTTERS S T AH1 - T ER0 Z +STUTTGART S T AH1 T - G ER0 T +STUTTGART(2) S T UW1 T - G AA2 R T +STUTTGART(3) SH T UW1 T - G AA2 R T +STUTTS S T AH1 T S +STUTZ S T AH1 T S +STUTZMAN S T AH1 T S - M AH0 N +STUVE S T UW1 V +STUVER S T UW1 - V ER0 +STUYVESANT S T AY1 - V AH0 - S AH0 N T +STY S T AY1 +STYER S T AY1 - ER0 +STYERS S T AY1 - ER0 Z +STYLE S T AY1 L +STYLED S T AY1 L D +STYLES S T AY1 L Z +STYLING S T AY1 - L IH0 NG +STYLISH S T AY1 - L IH0 SH +STYLISHLY S T AY1 - L IH0 SH - L IY0 +STYLIST S T AY1 - L IH0 S T +STYLISTIC S T AY0 - L IH1 - S T IH0 K +STYLISTICALLY S T AY0 - L IH1 - S T IH0 K - L IY0 +STYLISTS S T AY1 - L IH0 S T S +STYLISTS(2) S T AY1 - L IH0 S S +STYLISTS(3) S T AY1 - L IH0 S +STYLITES S T IH0 - L AY1 T S +STYLIZE S T AY1 - L AY2 Z +STYLIZE(2) S T AY1 - AH0 - L AY2 Z +STYLIZED S T AY1 - L AY2 Z D +STYLUS S T AY1 - L AH0 S +STYMIE S T AY1 - M IY0 +STYMIED S T AY1 - M IY0 D +STYMIES S T AY1 - M IY0 Z +STYNE S T AY1 N +STYRENE S T AY1 - R IY2 N +STYROFOAM S T AY1 - R AH0 - F OW2 M +STYRON S T AY1 - R AO0 N +STYS S T IH1 S +STYX S T IH1 K S +ST_CHARLES S EY1 N T - CH AA1 - R AH0 L Z +ST_CLAIR S EY1 N T - K L EH1 R +ST_CLAIRE S EY1 N T - K L EH1 R +ST_CYR S EY1 N T - K IH1 R +ST_CYR(2) S EY1 N T - S IH1 R +ST_DENIS S EY1 N T - D EH1 - N IH0 S +ST_DENNIS S EY1 N T - D EH1 - N IH0 S +ST_GEORGE S EY1 N T - JH AO1 R JH +ST_GERMAIN S EY1 N T - JH ER2 - M EY1 N +ST_GERMAINE S EY1 N T - JH ER2 - M EY1 N +ST_GERMAINE(2) S AA1 N - ZH ER2 - M EY1 N +ST_HILAIRE S EY1 N T - HH IH0 - L EY1 R +ST_JACQUES S EY1 N T - JH AA1 K S +ST_JACQUES(2) S AA1 N - ZH AA1 K S +ST_JAMES S EY1 N T - JH EY1 M Z +ST_JEAN S EY1 N T - JH IY1 N +ST_JOHN S EY1 N T - JH AA1 N +ST_JULIEN S EY1 N T - JH UW1 - L IY0 - AH0 N +ST_LAURENT S EY1 N T - L AO1 - R AH0 N T +ST_LAURENT(2) S AA1 N - L AO2 - R AO1 N T +ST_LAWRENCE S EY1 N T - L AO1 - R AH0 N S +ST_LOUIS S EY1 N T - L UW1 - AH0 S +ST_LOUIS(2) S EY1 N T - L UW1 - IY0 +ST_LUCIA S EY1 N T - L UW1 - SH AH0 +ST_LUCIA(2) S EY1 N T - L UW2 - S IY1 - AH0 +ST_MARIE S EY1 N T - M ER0 - IY1 +ST_MARTIN S EY1 N T - M AA1 R - T IH0 N +ST_MARY S EY1 N T - M EH1 - R IY0 +ST_PETER S EY1 N T - P IY1 - T ER0 +ST_PETERSBURG S EY1 N T - P IY1 - T ER0 Z - B ER0 G +ST_PIERRE S EY1 N T - P IY0 - EH1 R +ST_THOMAS S EY1 N T - T AA1 - M AH0 S +ST_THOMAS(2) S EY1 N - T AA1 - M AH0 S +SU S UW1 +SU(2) EH1 - S Y UW1 +SUARD S UW1 - AA0 R D +SUARD(2) S W AA1 R D +SUAREZ S W AA0 - R EH1 Z +SUASION S W EY1 - ZH AH0 N +SUATA S UW0 - AA1 - T AH0 +SUATA'S S UW0 - AA1 - T AH0 Z +SUAVE S W AA1 V +SUAZO S W AA1 - Z OW0 +SUB S AH1 B +SUB'S S AH1 B Z +SUB-WAY S AH1 B - W EY2 +SUBA S UW1 - B AH0 +SUBACUTE S AH1 - B AH0 - K Y UW1 T +SUBANDRIO S AH0 - B AE1 N - D R IY0 - OW0 +SUBARU S UW1 - B ER0 - UW0 +SUBASSEMBLIES S AH2 - B AH0 - S EH1 M - B L IY0 Z +SUBASSEMBLY S AH2 - B AH0 - S EH1 M - B L IY0 +SUBATOMIC S AH2 B - AH0 - T AA1 - M IH0 K +SUBBED S AH1 B D +SUBBING S AH1 - B IH0 NG +SUBCHAPTER S AH1 B - CH AE1 P - T ER0 +SUBCOMMANDER S AH1 B - K AH0 - M AE2 N - D ER0 +SUBCOMMANDER'S S AH1 B - K AH0 - M AE2 N - D ER0 Z +SUBCOMMANDERS S AH1 B - K AH0 - M AE2 N - D ER0 Z +SUBCOMMITTEE S AH1 B - K AH0 - M IH1 - T IY0 +SUBCOMMITTEE'S S AH1 B - K AH0 - M IH1 - T IY0 Z +SUBCOMMITTEES S AH1 B - K AH0 - M IH1 - T IY0 Z +SUBCOMPACT S AH0 B - K AA1 M - P AE0 K T +SUBCOMPACTS S AH0 B - K AA1 M - P AE0 K T S +SUBCONSCIOUS S AH0 B - K AA1 N - SH AH0 S +SUBCONSCIOUSLY S AH0 B - K AA1 N - SH AH0 S - L IY0 +SUBCONTINENT S AH0 B - K AA1 N - T IH0 - N AH0 N T +SUBCONTINENTS S AH0 B - K AA1 N - T IH0 - N AH0 N T S +SUBCONTRACT S AH0 B - K AA1 N - T R AE2 K T +SUBCONTRACTED S AH0 B - K AA1 N - T R AE0 K - T IH0 D +SUBCONTRACTING S AH2 B - K AH0 N - T R AE1 K - T IH0 NG +SUBCONTRACTOR S AH0 B - K AA1 N - T R AE2 K - T ER0 +SUBCONTRACTORS S AH0 B - K AA1 N - T R AE0 K - T ER0 Z +SUBCONTRACTS S AH0 B - K AA1 N - T R AE2 K T S +SUBCULTURE S AH1 B - K AH2 L - CH ER0 +SUBCULTURES S AH1 B - K AH2 L - CH ER0 Z +SUBDIVIDE S AH2 B - D AH0 - V AY1 D +SUBDIVIDED S AH2 B - D IH0 - V AY1 - D IH0 D +SUBDIVISION S AH1 B - D IH0 - V IH2 - ZH AH0 N +SUBDIVISIONS S AH1 B - D IH0 - V IH2 - ZH AH0 N Z +SUBDUE S AH0 B - D UW1 +SUBDUED S AH0 B - D UW1 D +SUBDUING S AH0 B - D UW1 - IH0 NG +SUBER S UW1 - B ER0 +SUBFAMILIES S AH1 B - F AE2 - M AH0 - L IY0 Z +SUBFAMILY S AH1 B - F AE2 - M AH0 - L IY0 +SUBGROUP S AH1 B - G R UW2 P +SUBGROUPS S AH1 B - G R UW2 P S +SUBHLOK S AH1 B - L AA2 K +SUBHUMAN S AH2 B - HH Y UW1 - M AH0 N +SUBIA S UW0 - B IY1 - AH0 +SUBIC S UW1 - B IH0 K +SUBJECT S AH0 B - JH EH1 K T +SUBJECT'S S AH1 B - JH IH0 K T S +SUBJECT(2) S AH1 B - JH IH0 K T +SUBJECTED S AH0 B - JH EH1 K - T IH0 D +SUBJECTING S AH0 B - JH EH1 K - T IH0 NG +SUBJECTIVE S AH0 B - JH EH1 K - T IH0 V +SUBJECTIVITY S AH0 B - JH EH0 K - T IH1 - V IH0 - T IY0 +SUBJECTS S AH1 B - JH IH0 K T S +SUBJECTS' S AH1 B - JH EH0 K T S +SUBJECTS'(2) S AH1 B - JH EH0 K S +SUBJECTS(2) S AH0 B - JH EH1 K T S +SUBJECTS(3) S AH0 B - JH EH1 K S +SUBJUGATE S AH1 B - JH AH0 - G EY2 T +SUBJUGATED S AH1 B - JH AH0 - G EY2 - T IH0 D +SUBKINGDOM S AH0 B - K IH1 NG - D AH0 M +SUBLEASE S AH1 B - L IY2 S +SUBLEASING S AH0 B - L IY1 - S IH0 NG +SUBLET S AH1 - B L EH2 T +SUBLETT S UW1 - B L IH0 T +SUBLIME S AH0 - B L AY1 M +SUBLIMINAL S AH0 B - L IH1 - M IH0 - N AH0 L +SUBLIMINALLY S AH0 B - L IH1 - M IH0 - N AH0 - L IY0 +SUBLUXATION S AH0 - B L AH0 K - S EY1 - SH AH0 N +SUBLUXATIONS S AH0 - B L AH0 K - S EY1 - SH AH0 N Z +SUBMACHINE S AH2 B - M AH0 - SH IY1 N +SUBMARINE S AH1 B - M ER0 - IY2 N +SUBMARINE'S S AH1 B - M ER0 - IY2 N Z +SUBMARINE'S(2) S AH0 B - M ER0 - IY1 N Z +SUBMARINE(2) S AH2 B - M ER0 - IY1 N +SUBMARINES S AH1 B - M ER0 - IY2 N Z +SUBMARINES'S S AH1 B - M ER0 - IY2 N - Z IH0 Z +SUBMARINES(2) S AH0 B - M ER0 - IY1 N Z +SUBMERGE S AH0 B - M ER1 JH +SUBMERGED S AH0 B - M ER1 JH D +SUBMERGENCE S AH0 B - M ER1 - JH AH0 N S +SUBMERSE S AH0 B - M ER1 S +SUBMERSED S AH0 B - M ER1 S T +SUBMERSIBLE S AH0 B - M ER1 - S IH0 - B AH0 L +SUBMERSION S AH0 B - M ER1 - ZH AH0 N +SUBMINIMUM S AH0 B - M IH1 - N IH0 - M AH0 M +SUBMISSION S AH0 B - M IH1 - SH AH0 N +SUBMISSIONS S AH0 B - M IH1 - SH AH0 N Z +SUBMISSIVE S AH0 B - M IH1 - S IH0 V +SUBMIT S AH0 B - M IH1 T +SUBMITS S AH2 B - M IH1 T S +SUBMITTED S AH0 B - M IH1 - T AH0 D +SUBMITTING S AH0 B - M IH1 - T IH0 NG +SUBNOTEBOOK S AH1 B - N OW1 T - B UH2 K +SUBORDINATE S AH0 - B AO1 R - D AH0 - N EY2 T +SUBORDINATE(2) S AH0 - B AO1 R - D AH0 N - AH0 T +SUBORDINATED S AH0 - B AO1 R - D AH0 - N EY2 - T IH0 D +SUBORDINATES S AH0 - B AO1 R - D AH0 - N EY2 T S +SUBORDINATES(2) S AH0 - B AO1 R - D AH0 N - AH0 T S +SUBORDINATING S AH0 - B AO1 R - D AH0 - N EY2 - T IH0 NG +SUBORDINATION S AH0 - B AO2 R - D AH0 - N EY1 - SH AH0 N +SUBOTNICK S AH0 - B AA1 T - N IH0 K +SUBPAR S AH0 B - P AA1 R +SUBPLOT S AH1 B - P L AA0 T +SUBPLOTS S AH1 B - P L AA0 T S +SUBPOENA S AH0 - P IY1 - N AH0 +SUBPOENAED S AH0 - P IY1 - N AH0 D +SUBPOENAING S AH0 - P IY1 - N AH0 - IH0 NG +SUBPOENAS S AH0 - P IY1 - N AH0 Z +SUBPRINCIPAL S AH0 B - P R IH1 N - S AH0 - P AH0 L +SUBPRINCIPALS S AH0 B - P R IH1 N - S AH0 - P AH0 L Z +SUBRAMANIAN S UW2 - B R AH0 - M AA1 - N IY0 - AH0 N +SUBROTO S UW0 - B R OW1 - T OW0 +SUBS S AH1 B Z +SUBS'S S AH1 B - Z IH0 Z +SUBSAHARAN S AH2 B - S AH0 - HH EH1 - R AH0 N +SUBSCRIBE S AH0 B - S K R AY1 B +SUBSCRIBED S AH0 B - S K R AY1 B D +SUBSCRIBER S AH0 B - S K R AY1 - B ER0 +SUBSCRIBER'S S AH0 B - S K R AY1 - B ER0 Z +SUBSCRIBERS S AH0 B - S K R AY1 - B ER0 Z +SUBSCRIBERS' S AH0 B - S K R AY1 - B ER0 Z +SUBSCRIBES S AH0 B - S K R AY1 B Z +SUBSCRIBING S AH0 B - S K R AY1 - B IH0 NG +SUBSCRIPTION S AH0 B - S K R IH1 P - SH AH0 N +SUBSCRIPTIONS S AH0 B - S K R IH1 P - SH AH0 N Z +SUBSECTION S AH1 B - S EH0 K - SH AH0 N +SUBSEQUENT S AH1 B - S AH0 - K W AH0 N T +SUBSEQUENTLY S AH1 B - S AH0 - K W AH0 N T - L IY0 +SUBSERVIENCE S AH0 B - S ER1 - V IY0 - AH0 N S +SUBSERVIENT S AH0 B - S ER1 - V IY0 - AH0 N T +SUBSET S AH1 B - S EH2 T +SUBSIDE S AH0 B - S AY1 D +SUBSIDED S AH0 B - S AY1 - D IH0 D +SUBSIDENCE S AH0 B - S AY1 - D AH0 N S +SUBSIDES S AH0 B - S AY1 D Z +SUBSIDIARIES S AH0 B - S IH1 - D IY0 - EH2 - R IY0 Z +SUBSIDIARIES' S AH0 B - S IH1 - D IY0 - EH2 - R IY0 Z +SUBSIDIARY S AH0 B - S IH1 - D IY0 - EH2 - R IY0 +SUBSIDIARY'S S AH0 B - S IH1 - D IY0 - EH2 - R IY0 Z +SUBSIDIES S AH1 B - S AH0 - D IY0 Z +SUBSIDIES(2) S AH1 B - S IH0 - D IY0 Z +SUBSIDING S AH0 B - S AY1 - D IH0 NG +SUBSIDIZATION S AH2 B - S IH0 - D IH0 - Z EY1 - SH AH0 N +SUBSIDIZE S AH1 B - S IH0 - D AY2 Z +SUBSIDIZED S AH1 B - S IH0 - D AY2 Z D +SUBSIDIZES S AH1 B - S IH0 - D AY2 - Z IH0 Z +SUBSIDIZING S AH1 B - S IH0 - D AY2 - Z IH0 NG +SUBSIDY S AH1 B - S IH0 - D IY0 +SUBSIST S AH0 B - S IH1 S T +SUBSISTENCE S AH0 B - S IH1 - S T AH0 N S +SUBSOIL S AH1 B - S OY2 L +SUBSTANCE S AH1 B - S T AH0 N S +SUBSTANCES S AH1 B - S T AH0 N - S AH0 Z +SUBSTANCES(2) S AH1 B - S T AH0 N - S IH0 Z +SUBSTANDARD S AH0 B - S T AE1 N - D ER0 D +SUBSTANTIAL S AH0 B - S T AE1 N - CH AH0 L +SUBSTANTIAL(2) S AH0 B - S T AE1 N - SH AH0 L +SUBSTANTIALLY S AH0 B - S T AE1 N - SH AH0 - L IY0 +SUBSTANTIALLY(2) S AH0 B - S T AE1 N - CH AH0 - L IY0 +SUBSTANTIATE S AH0 B - S T AE1 N - CH IY0 - EY2 T +SUBSTANTIATE(2) S AH0 B - S T AE1 N - SH IY0 - EY2 T +SUBSTANTIATED S AH0 B - S T AE1 N - SH IY0 - EY2 - T IH0 D +SUBSTANTIATED(2) S AH0 B - S T AE1 N - CH IY0 - EY2 - T IH0 D +SUBSTANTIATES S AH0 B - S T AE1 N - CH IY0 - EY2 T S +SUBSTANTIATES(2) S AH0 B - S T AE1 N - SH IY0 - EY2 T S +SUBSTANTIATION S AH0 B - S T AE2 N - CH IY0 - EY1 - SH AH0 N +SUBSTANTIATION(2) S AH0 B - S T AE2 N - SH IY0 - EY1 - SH AH0 N +SUBSTANTIVE S AH1 B - S T AH0 N - T IH0 V +SUBSTANTIVELY S AH1 B - S T AH0 N - T IH0 V - L IY0 +SUBSTATION S AH1 B - S T EY2 - SH AH0 N +SUBSTITUTE S AH1 B - S T AH0 - T UW2 T +SUBSTITUTED S AH1 B - S T AH0 - T UW2 - T AH0 D +SUBSTITUTES S AH1 B - S T AH0 - T UW2 T S +SUBSTITUTING S AH1 B - S T IH0 - T UW2 - T IH0 NG +SUBSTITUTION S AH2 B - S T IH0 - T UW1 - SH AH0 N +SUBSTITUTIONS S AH2 B - S T IH0 - T Y UW1 - SH AH0 N Z +SUBSTRATE S AH1 B - S T R EY2 T +SUBSTRATES S AH1 B - S T R EY2 T S +SUBSURFACE S AH1 B - S ER2 - F AH0 S +SUBSYSTEM S AH1 B - S IH2 - S T AH0 M +SUBSYSTEMS S AH1 B - S IH2 - S T AH0 M Z +SUBTERFUGE S AH1 B - T ER0 - F Y UW2 JH +SUBTERRANEAN S AH0 B - T ER0 - EY1 - N IY0 - AH0 N +SUBTEXT S AH1 B - T EH2 K S T +SUBTITLE S AH1 B - T AY2 - T AH0 L +SUBTITLED S AH1 B - T AY2 - T AH0 L D +SUBTITLES S AH1 B - T AY2 - T AH0 L Z +SUBTLE S AH1 - T AH0 L +SUBTLER S AH1 - T AH0 L - ER0 +SUBTLER(2) S AH1 T - L ER0 +SUBTLETIES S AH1 - T AH0 L - T IY0 Z +SUBTLETY S AH1 - T AH0 L - T IY0 +SUBTLY S AH1 - T AH0 - L IY0 +SUBTRACT S AH0 B - T R AE1 K T +SUBTRACTED S AH0 B - T R AE1 K - T IH0 D +SUBTRACTING S AH0 B - T R AE1 K - T IH0 NG +SUBTRACTION S AH0 B - T R AE1 K - SH AH0 N +SUBTYPE S AH1 B - T AY2 P +SUBTYPING S AH1 B - T AY2 - P IH0 NG +SUBURB S AH1 - B ER0 B +SUBURB'S S AH1 - B ER0 B Z +SUBURBAN S AH0 - B ER1 - B AH0 N +SUBURBANITE S AH0 - B ER1 - B AH0 - N AY2 T +SUBURBANITES S AH0 - B ER1 - B AH0 - N AY2 T S +SUBURBANIZATION S AH0 - B ER2 - B AH0 - N IH0 - Z EY1 - SH AH0 N +SUBURBANIZE S AH0 - B ER1 - B AH0 - N AY2 Z +SUBURBANS S AH0 - B ER1 - B AH0 N Z +SUBURBIA S AH0 - B ER1 - B IY0 - AH0 +SUBURBS S AH1 - B ER0 B Z +SUBVERSION S AH0 B - V ER1 - ZH AH0 N +SUBVERSIVE S AH0 B - V ER1 - S IH0 V +SUBVERSIVES S AH0 B - V ER1 - S IH0 V Z +SUBVERT S AH0 B - V ER1 T +SUBVERTED S AH0 B - V ER1 - T IH0 D +SUBVERTING S AH0 B - V ER1 - T IH0 NG +SUBVERTS S AH0 B - V ER1 T S +SUBVOLCANIC S AH2 B - V AA0 L - K AE1 - N IH0 K +SUBWAY S AH1 B - W EY2 +SUBWAYS S AH1 B - W EY2 Z +SUBZERO S AH2 B - Z IH1 - R OW0 +SUBZERO(2) S AH2 B - Z IY1 - R OW0 +SUCCEED S AH0 K - S IY1 D +SUCCEEDED S AH0 K - S IY1 - D AH0 D +SUCCEEDED(2) S AH0 K - S IY1 - D IH0 D +SUCCEEDING S AH0 K - S IY1 - D IH0 NG +SUCCEEDS S AH0 K - S IY1 D Z +SUCCESS S AH0 K - S EH1 S +SUCCESSES S AH0 K - S EH1 - S AH0 Z +SUCCESSES(2) S AH0 K - S EH1 - S IH0 Z +SUCCESSFUL S AH0 K - S EH1 S - F AH0 L +SUCCESSFULLY S AH0 K - S EH1 S - F AH0 - L IY0 +SUCCESSION S AH0 K - S EH1 - SH AH0 N +SUCCESSIVE S AH0 K - S EH1 - S IH0 V +SUCCESSIVELY S AH0 K - S EH1 - S IH0 V - L IY0 +SUCCESSOR S AH0 K - S EH1 - S ER0 +SUCCESSORS S AH0 K - S EH1 - S ER0 Z +SUCCINCT S AH0 K - S IH1 NG K T +SUCCINCTLY S AH0 K - S IH1 NG K T - L IY0 +SUCCOR S AH1 - K ER0 +SUCCULENT S AH1 - K Y AH0 - L IH0 N T +SUCCULENTS S AH1 - K Y AH0 - L AH0 N T S +SUCCUMB S AH0 - K AH1 M +SUCCUMBED S AH0 - K AH1 M D +SUCCUMBING S AH0 - K AH1 - M IH0 NG +SUCCUMBS S AH0 - K AH1 M Z +SUCH S AH1 CH +SUCHAN S AH1 - CH AH0 N +SUCHANEK S AH1 - K AH0 - N IH0 K +SUCHARD S UW0 - SH AA1 R D +SUCHARSKI S AH0 - K AA1 R S - K IY0 +SUCHECKI S AH0 - K EH1 - K IY0 +SUCHER S AH1 - CH ER0 +SUCHINDA S UW2 - CH IH1 N - D AH0 +SUCHOCKI S AH0 - K AA1 - K IY0 +SUCHOMEL S AH1 - K OW0 - M EH2 L +SUCHY S AH1 - CH IY0 +SUCK S AH1 K +SUCKED S AH1 K T +SUCKER S AH1 - K ER0 +SUCKERED S AH1 - K ER0 D +SUCKERS S AH1 - K ER0 Z +SUCKING S AH1 - K IH0 NG +SUCKLE S AH1 - K AH0 L +SUCKLING S AH1 - K L IH0 NG +SUCKOW S AH1 - K AW0 +SUCKROW S AH1 - K R OW0 +SUCKS S AH1 K S +SUCRALOSE S UW1 - K R AH0 - L OW2 S +SUCRE S UW1 - K ER0 +SUCROSE S UW1 - K R OW0 S +SUCTION S AH1 K - SH AH0 N +SUDA S UW1 - D AH0 +SUDAFED S UW1 - D AH0 - F EH2 D +SUDAN S UW0 - D AE1 N +SUDAN'S S UW0 - D AE1 N Z +SUDANESE S UW2 - D AH0 - N IY1 Z +SUDANO S UW0 - D AA1 - N OW0 +SUDBECK S AH1 D - B EH2 K +SUDBERRY S AH1 D - B EH2 - R IY0 +SUDBURY S AH1 D - B EH2 - R IY0 +SUDBURY'S S AH1 D - B EH2 - R IY0 Z +SUDD S AH1 D +SUDDAM S AH2 - D AA1 M +SUDDAM'S S AH2 - D AA1 M Z +SUDDARTH S AH1 - D AA0 R TH +SUDDATH S AH1 - D AH0 TH +SUDDEN S AH1 - D AH0 N +SUDDENLY S AH1 - D AH0 N - L IY0 +SUDDENNESS S AH1 - D AH0 N - N AH0 S +SUDDERTH S AH1 - D ER0 TH +SUDDETH S AH1 - D IH0 TH +SUDDRETH S AH1 - D R IH0 TH +SUDDUTH S AH1 - D AH0 TH +SUDER S UW1 - D ER0 +SUDERMAN S UW1 - D ER0 - M AH0 N +SUDLER S UW1 - D AH0 - L ER0 +SUDLER(2) S UW1 D - L ER0 +SUDOL S UW1 - D AH0 L +SUDS S AH1 D Z +SUE S UW1 +SUED S UW1 D +SUEDE S W EY1 D +SUEDES S W EY1 D Z +SUEKER S UW1 - K ER0 +SUEN S UW1 N +SUES S UW1 Z +SUESS S W IH1 S +SUEY S UW1 - IY0 +SUEZ S UW1 - EH0 Z +SUEZ'S S UW1 - EH0 - Z IH0 Z +SUFFER S AH1 - F ER0 +SUFFERED S AH1 - F ER0 D +SUFFERER S AH1 - F ER0 - ER0 +SUFFERERS S AH1 - F ER0 - ER0 Z +SUFFERING S AH1 - F ER0 - IH0 NG +SUFFERING(2) S AH1 - F R IH0 NG +SUFFERINGS S AH1 - F ER0 - IH0 NG Z +SUFFERINGS(2) S AH1 - F R IH0 NG Z +SUFFERN S AH1 - F ER0 N +SUFFERS S AH1 - F ER0 Z +SUFFICE S AH0 - F AY1 S +SUFFICED S AH0 - F AY1 S T +SUFFICES S AH0 - F AY1 - S IH0 Z +SUFFICIENCY S AH0 - F IH1 - SH AH0 N - S IY0 +SUFFICIENT S AH0 - F IH1 - SH AH0 N T +SUFFICIENTLY S AH0 - F IH1 - SH AH0 N T - L IY0 +SUFFIELD S AH1 - F IY0 L D +SUFFIELD'S S AH1 - F IY0 L D Z +SUFFIX S AH1 - F IH0 K S +SUFFOCATE S AH1 - F AH0 - K EY2 T +SUFFOCATED S AH1 - F AH0 - K EY2 - T IH0 D +SUFFOCATING S AH1 - F AH0 - K EY2 - T IH0 NG +SUFFOCATION S AH2 - F AH0 - K EY1 - SH AH0 N +SUFFOLK S AH1 - F AH0 K +SUFFRAGE S AH1 - F R IH0 JH +SUFFRAGETTE S AH2 - F R AH0 - JH EH1 T +SUFFRAGETTES S AH2 - F R AH0 - JH EH1 T S +SUFFRAGIST S AH1 - F R AH0 - JH IH0 S T +SUFFRAGISTS S AH1 - F R AH0 - JH IH0 S T S +SUFFRAGISTS(2) S AH1 - F R AH0 - JH IH0 S S +SUFFRAGISTS(3) S AH1 - F R AH0 - JH IH0 S +SUFFUSE S AH0 - F Y UW1 Z +SUFFUSED S AH0 - F Y UW1 Z D +SUGAR SH UH1 - G ER0 +SUGAR'S SH UH1 - G ER0 Z +SUGARED SH UH1 - G ER0 D +SUGARMAN SH UH1 - G ER0 - M AH0 N +SUGARS SH UH1 - G ER0 Z +SUGARY SH UH1 - G ER0 - IY0 +SUGDEN S AH1 G - D AH0 N +SUGERMAN S UW1 - G ER0 - M AH0 N +SUGG S AH1 G +SUGGEST S AH0 G - JH EH1 S T +SUGGESTED S AH0 G - JH EH1 - S T AH0 D +SUGGESTED(2) S AH0 G - JH EH1 - S T IH0 D +SUGGESTIBLE S AH0 G - JH EH1 - S T AH0 - B AH0 L +SUGGESTING S AH0 G - JH EH1 - S T IH0 NG +SUGGESTION S AH0 G - JH EH1 S - CH AH0 N +SUGGESTIONS S AH0 G - JH EH1 S - CH AH0 N Z +SUGGESTIVE S AH0 G - JH EH1 - S T IH0 V +SUGGESTIVENESS S AH0 G - JH EH1 - S T IH0 V - N AH0 S +SUGGESTS S AH0 G - JH EH1 S T S +SUGGESTS(2) S AH0 G - JH EH1 S S +SUGGESTS(3) S AH0 G - JH EH1 S +SUGGS S AH1 G Z +SUGIHARA S UW0 - G IY0 - HH AA1 - R AH0 +SUGIMOTO S UW0 - G IY0 - M OW1 - T OW0 +SUGIYAMA S UW0 - G IY0 - Y AA1 - M AH0 +SUGRUE S AH1 - G R UW0 +SUH S AH1 +SUHARTO S UW0 - HH AA1 R - T OW0 +SUHARTO'S S UW0 - HH AA1 R - T OW0 Z +SUHLER S UW1 - L ER0 +SUHM S UW1 M +SUHR S UH1 R +SUHRE S UH1 R +SUHUA S UW1 HH - W AA1 +SUHUD S UW0 - HH UH1 D +SUI S UW1 - IY0 +SUI(2) S W IY0 +SUICIDAL S UW2 - AH0 - S AY1 - D AH0 L +SUICIDE S UW1 - AH0 - S AY2 D +SUICIDE(2) S UW1 - IH0 - S AY2 D +SUICIDES S UW1 - AH0 - S AY2 D Z +SUING S UW1 - IH0 NG +SUIRE S UH1 R +SUISSE S W IH1 S +SUISSE'S S W IH1 - S IH0 Z +SUISSE'S(2) S W IY1 - S IH0 Z +SUISSE(2) S W IY1 S +SUIT S UW1 T +SUIT'S S UW1 T S +SUITABILITY S UW2 - T AH0 - B IH1 - L IH0 - T IY0 +SUITABLE S UW1 - T AH0 - B AH0 L +SUITABLY S UW1 - T AH0 - B L IY0 +SUITCASE S UW1 T - K EY2 S +SUITCASES S UW1 T - K EY2 - S IH0 Z +SUITE S W IY1 T +SUITED S UW1 - T AH0 D +SUITED(2) S UW1 - T IH0 D +SUITER S UW1 - T ER0 +SUITES S W IY1 T S +SUITOR S UW1 - T ER0 +SUITOR'S S UW1 - T ER0 Z +SUITORS S UW1 - T ER0 Z +SUITS S UW1 T S +SUITT S UW1 T +SUK S AH1 K +SUKARNO S UW0 - K AA1 R - N OW0 +SUKARNO'S S UW0 - K AA1 R - N OW0 Z +SUKEY S UW1 - K IY0 +SUKHAREV S AH1 K - HH ER0 - AH0 V +SUKHUMI S UW2 K - HH UW1 - M IY0 +SUKI S UW1 - K IY0 +SUKIYAKI S UW0 - K IY0 - AA1 - K IY0 +SUKRU S UH1 - K R UW0 +SUKRU(2) S UW1 - K R UW0 +SUKTHANKAR S UW0 K - T AA1 NG - K AA2 R +SUKUP S UW1 K - AH0 P +SUL S AH1 L +SULAK S UW1 - L AH0 K +SULAWESI S UW2 - L AH0 - W EH1 - S IY0 +SULCER S AH1 L - S ER0 +SULEK S UW1 - L IH0 K +SULESKI S Y UW0 - L EH1 S - K IY0 +SULEWSKI S Y UW0 - L EH1 F S - K IY0 +SULEYMAN S UW1 - L IY0 - M AH0 N +SULFA S AH1 L - F AH0 +SULFATE S AH1 L - F EY2 T +SULFIDE S AH1 L - F AY2 D +SULFITE S AH1 L - F AY2 T +SULFITES S AH1 L - F AY2 T S +SULFUR S AH1 L - F ER0 +SULFURIC S AH0 L - F Y UH1 - R IH0 K +SULGRAVE S AH1 L - G R EY2 V +SULIK S UW1 - L IH0 K +SULK S AH1 L K +SULKED S AH1 L K T +SULKING S AH1 L - K IH0 NG +SULKOWSKI S AH0 L - K AO1 F S - K IY0 +SULLEN S AH1 - L AH0 N +SULLENBERGER S AH1 - L AH0 N - B ER0 - G ER0 +SULLENGER S UW1 - L IH0 N - JH ER0 +SULLENS S AH1 - L AH0 N Z +SULLIE S AH1 - L IY0 +SULLIED S AH1 - L IY0 D +SULLINGER S AH1 L - IH0 - NG ER0 +SULLINS S AH1 - L IH0 N Z +SULLIVAN S AH1 - L AH0 - V AH0 N +SULLIVAN'S S AH1 - L IH0 - V AH0 N Z +SULLIVAN(2) S AH1 - L IH0 - V AH0 N +SULLIVANS S AH1 - L IH0 - V AH0 N Z +SULLIVANT S AH1 - L IH0 - V AH0 N T +SULLO S UW1 - L OW0 +SULLY S AH1 - L IY0 +SULPETRO S UW0 L - P EH1 - T R OW0 +SULPHATE S AH1 L - F EY2 T +SULPHATES S AH1 L - F EY2 T S +SULPHUR S AH1 L - F ER0 +SULSER S AH1 L - S ER0 +SULT S AH1 L T +SULTAN S AH1 L - T AH0 N +SULTAN'S S AH1 L - T AH0 N Z +SULTANATE S AH1 L - T AH0 - N AH0 T +SULTANS S AH1 L - T AH0 N Z +SULTON S AH1 L - T AH0 N +SULTRY S AH1 L - T R IY0 +SULYA S UW1 - L Y AH0 +SULZBACH S AH1 L Z - B AA0 K +SULZBERGER S AH1 L T S - B ER0 - G ER0 +SULZER S AH1 L - Z ER0 +SUM S AH1 M +SUMA S UW1 - M AH0 +SUMAC S UW1 - M AE0 K +SUMAN S UW1 - M AH0 N +SUMARLIN S UW2 - M AA1 R - L IH0 N +SUMATOMA S UW2 - M AH0 - T OW1 - M AH0 +SUMATOMO S UW2 - M AH0 - T OW1 - M OW0 +SUMATRA S UW2 - M AA1 - T R AH0 +SUMATRAN S UW2 - M AA1 - T R AH0 N +SUMERIA S AH0 - M ER1 - IY0 - AH0 +SUMERLIN S AH1 - M ER0 - L IH0 N +SUMGAIT S AH0 M - G EY1 T +SUMIDA S UW0 - M IY1 - D AH0 +SUMINSKI S AH0 - M IH1 N - S K IY0 +SUMITA S UW0 - M IY1 - T AH0 +SUMITA'S S UW0 - 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M ER0 - S AH0 N +SUMMERTIME S AH1 - M ER0 - T AY2 M +SUMMERVILLE S AH1 - M ER0 - V IH2 L +SUMMEY S AH1 - M IY0 +SUMMING S AH1 - M IH0 NG +SUMMIT S AH1 - M AH0 T +SUMMIT'S S AH1 - M AH0 T S +SUMMIT(2) S AH1 - M IH0 T +SUMMITEER S AH2 - M IH0 - T IH1 R +SUMMITEERS S AH2 - M IH0 - T IH1 R Z +SUMMITRY S AH1 - M IH0 - T R IY0 +SUMMITS S AH1 - M IH0 T S +SUMMITT S AH1 - M IH0 T +SUMMITVILLE S AH1 - M IH0 T - V IH0 L +SUMMON S AH1 - M AH0 N +SUMMONED S AH1 - M AH0 N D +SUMMONING S AH1 - M AH0 - N IH0 NG +SUMMONS S AH1 - M AH0 N Z +SUMMONSED S AH1 - M AH0 N Z D +SUMMONSES S AH1 - M AH0 N - Z IH0 Z +SUMMOR'S S AH1 - M ER0 Z +SUMMUM S AH1 - M AH0 M +SUMMY S AH1 - M IY0 +SUMNER S AH1 M - N ER0 +SUMNERS S AH1 M - N ER0 Z +SUMO S UW1 - M OW0 +SUMP S AH1 M P +SUMPTER S AH1 M P - T ER0 +SUMPTUOUS S AH1 M P - CH W AH0 S +SUMPTUOUS(2) S AH1 M P - CH UW0 - AH0 S +SUMRALL S AH1 - M R AH0 L +SUMRELL S UW0 M - R EY1 L +SUMROW S AH1 M - R OW2 +SUMS S AH1 M Z +SUMTER S AH1 M - T ER0 +SUN S AH1 N +SUN'S S AH1 N Z +SUNAMERICA S AH1 - N AH0 - M EH1 - R AH0 - K AH0 +SUNAU S UW1 - N AW0 +SUNBATH S AH1 N - B AE2 TH +SUNBATHE S AH1 N - B EY2 DH +SUNBATHING S AH1 N - B EY2 - DH IH0 NG +SUNBEAM S AH1 N - B IY2 M +SUNBEAM'S S AH1 N - B IY2 M Z +SUNBELT S AH1 N - B EH2 L T +SUNBELT'S S AH1 N - B EH2 L T S +SUNBIRD S AH1 N - B ER2 D +SUNBIRDS S AH1 N - B ER2 D Z +SUNBURN S AH1 N - B ER2 N +SUNBURNED S AH1 N - B ER2 N D +SUNCOAST S AH1 N - K OW2 S T +SUNCOOK S AH1 N - K UH2 K +SUNCOR S AH1 N - K AO2 R +SUND S AH1 N D +SUNDAE S AH1 N - D EY0 +SUNDAE'S S AH1 N - D EY2 Z +SUNDAHL S AH1 N - D AA2 L +SUNDAI S AH0 N - D AY1 +SUNDANCE S AH1 N - D AE2 N S +SUNDAR S UW1 N - D AA0 R +SUNDARARAJAN S UW0 N - D AA2 - R AH0 - R AA1 - JH AH0 N +SUNDAY S AH1 N - D EY2 +SUNDAY'S S AH1 N - D EY2 Z +SUNDAY'S(2) S AH1 N - D IY2 Z +SUNDAY(2) S AH1 N - D IY2 +SUNDAYS S AH1 N - D EY2 Z +SUNDAYS(2) S AH1 N - D IY2 Z +SUNDBERG S AH1 N D - B ER0 G +SUNDBY S AH1 N D - B IY0 +SUNDE S AH1 N D +SUNDEEN S AH1 N - D IY0 N +SUNDELL S AH1 N - D AH0 L +SUNDER S AH1 N - 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L AE2 N D +SUNLIGHT S AH1 N - L AY2 T +SUNLIT S AH1 N - L IH2 T +SUNLITE S AH1 N - L AY2 T +SUNNI S UW1 - N IY0 +SUNNING S AH1 - N IH0 NG +SUNNIS S UH1 - N IY2 Z +SUNNY S AH1 - N IY0 +SUNNYSIDE S AH1 - N IY0 - S AY2 D +SUNNYVALE S AH1 - N IY0 - V EY2 L +SUNOBE S UW0 - N OW1 - B IY0 +SUNOBE'S S UW0 - N OW1 - B IY0 Z +SUNOCO S IH0 - N OW1 - K OW0 +SUNPOINT S AH1 N - P OY2 N T +SUNRISE S AH1 N - R AY2 Z +SUNRISE'S S AH1 N - R AY2 - Z IH0 Z +SUNROOF S AH1 N - R UW2 F +SUNROOM S AH1 N - R UW2 M +SUNS S AH1 N Z +SUNSCREEN S AH0 N - S K R IY1 N +SUNSCREEN(2) S AH1 N - S K R IY0 N +SUNSCREENS S AH0 N - S K R IY1 N Z +SUNSCREENS(2) S AH1 N - S K R IY0 N Z +SUNSERI S AH0 N - S EH1 - R IY0 +SUNSET S AH1 N - S EH2 T +SUNSETS S AH1 N - S EH2 T S +SUNSHINE S AH1 N - SH AY2 N +SUNSHINE'S S AH1 N - SH AY2 N Z +SUNSHINY S AH1 N - SH AY2 - N IY0 +SUNSPOT S AH1 N - S P AA2 T +SUNSPOTS S AH1 N - S P AA2 T S +SUNSTAR S AH1 N - S T AA2 R +SUNSTATE S AH1 N - S T EY2 T +SUNSTATES S AH1 N - S T EY2 T S +SUNSWEET S AH1 N - S W IY2 T +SUNSWEET'S S AH1 N - S W IY2 T S +SUNTAN S AH1 N - T AE2 N +SUNTER S AH1 N - T ER0 +SUNTORY S AH1 N - T AO1 - R IY0 +SUNTRUST S AH1 N - T R AH2 S T +SUNTRUST'S S AH1 N - T R AH2 S T S +SUNUNU S AH0 - N UW1 - N UW0 +SUNUNU'S S AH0 - N UW1 - N UW0 Z +SUNUP S AH1 N - AH0 P +SUNWARD S AH1 N - W ER0 D +SUNWORLD S AH1 N - W ER2 L D +SUNWORLD'S S AH1 N - W ER2 L D Z +SUNY S UW1 - N IY2 +SUON S UW1 - AO0 N +SUP S AH1 P +SUPAK S UW1 - P AH0 K +SUPAN S UW1 - P AH0 N +SUPER S UW1 - P ER0 +SUPERABRASIVE S UW2 - P ER0 - AH0 - B R EY1 - S IH0 V +SUPERABRASIVES S UW2 - P ER0 - AH0 - B R EY1 - S IH0 V Z +SUPERAMERICA S UW2 - P ER0 - AH0 - M EH1 - R IH0 - K AH0 +SUPERB S UH0 - P ER1 B +SUPERBAR S UW1 - P ER0 - B AA2 R +SUPERBLY S UW1 - P ER0 - B L IY0 +SUPERBOWL S UW1 - P ER0 - B OW2 L +SUPERBOWL'S S UW1 - P ER0 - B OW2 L Z +SUPERBOWLS S UW1 - P ER0 - B OW2 L Z +SUPERCENTER S UW1 - P ER0 - S EH2 N - T ER0 +SUPERCENTERS S UW1 - P ER0 - S EH2 N - T ER0 S +SUPERCHARGE S UW2 - P ER0 - CH AA1 R JH +SUPERCHARGED S UW2 - P ER0 - CH AA1 R JH D +SUPERCILIOUS S UW2 - P ER0 - S IH1 - L IY0 - AH0 S +SUPERCOLLIDER S UW0 - P ER0 - K AH0 - L AY1 - D ER0 +SUPERCOMPUTER S UW2 - P ER0 - K AH0 M - P Y UW1 - T ER0 +SUPERCOMPUTERS S UW2 - P ER0 - K AH0 M - P Y UW1 - T ER0 Z +SUPERCOMPUTING S UW0 - P ER0 - K AH0 M - P Y UW1 - T IH0 NG +SUPERCONDUCTING S UW1 - P ER0 - K AH0 N - D AH2 K - T IH0 NG +SUPERCONDUCTIVE S UW0 - P ER0 - K AH0 N - D AH1 K - T IH0 V +SUPERCONDUCTIVITY S UW2 - P ER0 - K AA2 N - D AH2 K - T IH1 - V AH0 - T IY0 +SUPERCONDUCTOR S UW1 - P ER0 - K AH0 N - D AH2 K - T ER0 +SUPERCONDUCTORS S UW1 - P ER0 - K AH0 N - D AH2 K - T ER0 Z +SUPERCOOL S UW2 - P ER0 - K UW1 L +SUPERCOOLED S UW2 - P ER0 - K UW1 L D +SUPERCUT S UW1 - P ER0 - K AH2 T +SUPERCUTS S UW1 - P ER0 - K AH2 T S +SUPERDELEGATE S UW0 - P ER0 - D EH1 - L AH0 - G AH0 T +SUPERDELEGATES S UW0 - P ER0 - D EH1 - L AH0 - G AH0 T S +SUPERDOME S UW2 - P ER0 - D OW1 M +SUPERDOT S UW1 - P ER0 - D AA2 T +SUPERDRUG S UW1 - P ER0 - D R AH2 G +SUPERFAMILY S UW1 - 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V IH1 - ZH AH0 N +SUPERVISOR S UW1 - P ER0 - V AY2 - Z ER0 +SUPERVISORS S UW2 - P ER0 - V AY1 - Z ER0 Z +SUPERVISORS' S UW1 - P ER0 - V AY2 - Z ER0 Z +SUPERVISORY S UW2 - P ER0 - V AY1 - Z ER0 - IY0 +SUPERVOTING S UW2 - P ER0 - V OW1 - T IH0 NG +SUPERWOMAN S UW1 - P ER0 - W UH2 - M AH0 N +SUPERWOMEN S UW1 - P ER0 - W IH2 - M IH0 N +SUPERX S UW1 - P ER0 - EH2 K S +SUPINE S AH0 - P AY1 N +SUPINE(2) S UW1 - P AY0 N +SUPINSKI S AH0 - P IH1 N - S K IY0 +SUPPA S UW1 - P AH0 +SUPPER S AH1 - P ER0 +SUPPERS S AH1 - P ER0 Z +SUPPES S AH1 P S +SUPPLANT S AH0 - P L AE1 N T +SUPPLANTED S AH0 - P L AE1 N - T AH0 D +SUPPLANTING S AH0 - P L AE1 N - T IH0 NG +SUPPLE S AH1 - P AH0 L +SUPPLEE S AH1 - P L IY0 +SUPPLEMENT S AH1 - P L AH0 - M AH0 N T +SUPPLEMENT(2) S AH1 - P L AH0 - M EH1 N T +SUPPLEMENTAL S AH2 - P L AH0 - M EH1 N - T AH0 L +SUPPLEMENTAL(2) S AH2 - P L AH0 - M EH1 - N AH0 L +SUPPLEMENTARY S AH2 - P L AH0 - M EH1 N - T ER0 - IY0 +SUPPLEMENTARY(2) S AH2 - P L AH0 - M EH1 - N ER0 - IY0 +SUPPLEMENTARY(3) S AH2 - P L AH0 - M EH1 N - T R IY0 +SUPPLEMENTARY(4) S AH2 - P L AH0 - M EH1 N - CH R IY0 +SUPPLEMENTED S AH1 - P L AH0 - M EH2 N - T AH0 D +SUPPLEMENTING S AH1 - P L AH0 - M AH0 N - T IH0 NG +SUPPLEMENTING(2) S AH1 - P L AH0 - M EH1 N - T IH0 NG +SUPPLEMENTS S AH1 - P L AH0 - M AH0 N T S +SUPPLEMENTS(2) S AH1 - P L AH0 - M EH1 N T S +SUPPLICANT S AH1 - P L AH0 - K AH0 N T +SUPPLIED S AH0 - P L AY1 D +SUPPLIER S AH0 - P L AY1 - ER0 +SUPPLIER'S S AH0 - P L AY1 - ER0 Z +SUPPLIERS S AH0 - P L AY1 - ER0 Z +SUPPLIERS' S AH0 - P L AY1 - ER0 Z +SUPPLIES S AH0 - P L AY1 Z +SUPPLY S AH0 - P L AY1 +SUPPLY'S S AH0 - P L AY1 Z +SUPPLYING S AH0 - P L AY1 - IH0 NG +SUPPORT S AH0 - P AO1 R T +SUPPORTABLE S AH0 - P AO1 R - T AH0 - B AH0 L +SUPPORTED S AH0 - P AO1 R - T AH0 D +SUPPORTED(2) S AH0 - P AO1 R - T IH0 D +SUPPORTER S AH0 - P AO1 R - T ER0 +SUPPORTERS S AH0 - P AO1 R - T ER0 Z +SUPPORTING S AH0 - P AO1 R - T IH0 NG +SUPPORTIVE S AH0 - P AO1 R - T IH0 V +SUPPORTS S AH0 - P AO1 R T S +SUPPOSE S AH0 - P OW1 Z +SUPPOSED S AH0 - P OW1 Z D +SUPPOSEDLY S AH0 - P OW1 - Z AH0 D - L IY0 +SUPPOSES S AH0 - P OW1 - Z IH0 Z +SUPPOSING S AH0 - P OW1 - Z IH0 NG +SUPPOSITION S AH2 - P AH0 - Z IH1 - SH AH0 N +SUPPOSITIONS S AH2 - P AH0 - Z IH1 - SH AH0 N Z +SUPPRESS S AH0 - P R EH1 S +SUPPRESSANT S AH0 - P R EH1 - S AH0 N T +SUPPRESSED S AH0 - P R EH1 S T +SUPPRESSES S AH0 - P R EH1 - S IH0 Z +SUPPRESSING S AH0 - P R EH1 - S IH0 NG +SUPPRESSION S AH0 - P R EH1 - SH AH0 N +SUPPRESSOR S AH0 - P R EH1 - S ER0 +SUPRA S UW1 - P R AH0 +SUPRANATIONAL S UW2 - P R AH0 - N AE1 - SH AH0 - N AH0 L +SUPREMACIST S UW0 - P R EH1 - M AH0 - S IH0 S T +SUPREMACISTS S UW0 - P R EH1 - M AH0 - S IH0 S T S +SUPREMACISTS(2) S UW0 - P R EH1 - M AH0 - S IH0 S S +SUPREMACISTS(3) S UW0 - P R EH1 - M AH0 - S IH0 S +SUPREMACY S AH0 - P R EH1 - M AH0 - S IY0 +SUPREME S AH0 - P R IY1 M +SUPREME(2) S ER0 - P R IY1 M +SUPREMELY S UW0 - P R IY1 - M AH0 - L IY0 +SUPREMES S UW0 - P R IY1 M Z +SUPRENANT S UW0 - P R EY1 - N AH0 N T +SUPRISINGLY S UW2 - P R AY1 - Z IH0 NG - L IY0 +SUPRISINGLY(2) S ER2 - P R AY1 - Z IH0 NG - L IY0 +SUR S ER1 +SURA S UH1 - R AH0 +SURACE S UH0 - R AA1 - S EY0 +SURAT S ER0 - AA1 T +SURAT'S S ER0 - AA1 T S +SURBAUGH S ER1 - B AO0 +SURBER S ER1 - B ER0 +SURCHARGE S ER0 - CH AA1 R JH +SURCHARGE(2) S ER1 - CH AA2 R JH +SURCHARGES S ER1 - CH AA2 R - JH IH0 Z +SURE SH UH1 R +SURELY SH UH1 R - L IY0 +SUREN S UH1 - R AH0 N +SURER SH UH1 - R ER0 +SURES SH UH1 R Z +SURESH S ER0 - EH1 SH +SUREST SH UH1 - R IH0 S T +SURETTE S ER0 - EH1 T +SURETY SH UH1 - R AH0 - T IY0 +SURF S ER1 F +SURF'S S ER1 F S +SURFACE S ER1 - F AH0 S +SURFACED S ER1 - F IH0 S T +SURFACENESS S ER1 - F AH0 S - N AH0 S +SURFACES S ER1 - F AH0 - S AH0 Z +SURFACES(2) S ER1 - F AH0 - S IH0 Z +SURFACING S ER1 - F AH0 - S IH0 NG +SURFACTANT S ER0 - F AE1 K - T AH0 N T +SURFBOARD S ER1 F - B AO2 R D +SURFBOARDS S ER1 F - B AO2 R D Z +SURFED S ER1 F T +SURFEIT S ER1 - F AH0 T +SURFER S ER1 - F ER0 +SURFERS S ER1 - F ER0 Z +SURFING S ER1 - F IH0 NG +SURGE S ER1 JH +SURGED S ER1 JH D +SURGEON S ER1 - JH AH0 N +SURGEON'S S ER1 - JH AH0 N Z +SURGEON(2) S ER1 - JH IH0 N +SURGEONS S ER1 - JH AH0 N Z +SURGEONS' S ER1 - JH IH0 N Z +SURGERIES S ER1 - JH ER0 - IY0 Z +SURGERY S ER1 - JH ER0 - IY0 +SURGES S ER1 - JH AH0 Z +SURGES(2) S ER1 - JH IH0 Z +SURGICAL S ER1 - JH IH0 - K AH0 L +SURGICAL'S S ER1 - JH IH0 - K AH0 L Z +SURGICALLY S ER1 - JH IH0 - K AH0 - L IY0 +SURGICALLY(2) S ER1 - JH IH0 K - L IY0 +SURGING S ER1 - JH IH0 NG +SURIANO S UH2 - R IY0 - AA1 - N OW0 +SURINAM S UH2 - R AH0 - N AA1 M +SURINAME S ER1 - IH0 - N AA0 M +SURLES S AO1 - R AH0 L Z +SURLY S ER1 - L IY0 +SURMA S ER1 - M AH0 +SURMAN S ER1 - M AH0 N +SURMISE S ER0 - M AY1 Z +SURMISED S ER0 - M AY1 Z D +SURMISES S ER0 - M AY1 - Z IH0 Z +SURMOUNT S ER0 - M AW1 N T +SURMOUNTED S ER0 - M AW1 N - T IH0 D +SURMOUNTING S ER0 - M AW1 N - T IH0 NG +SURNAME S ER1 - N EY2 M +SURNAMES S ER1 - N EY2 M Z +SUROWIEC S ER0 - AW1 - IY0 K +SURPASS S ER0 - P AE1 S +SURPASSED S ER0 - P AE1 S T +SURPASSES S ER0 - P AE1 - S IH0 Z +SURPASSING S ER0 - P AE1 - S IH0 NG +SURPLUS S ER1 P - L AH0 S +SURPLUSES S ER1 P - L AH0 - S IH0 Z +SURPRENANT S ER1 - P R IH0 - N AH0 N T +SURPRISE S ER0 - P R AY1 Z +SURPRISE(2) S AH0 - P R AY1 Z +SURPRISED S ER0 - P R AY1 Z D +SURPRISED(2) S AH0 - P R AY1 Z D +SURPRISES S ER0 - P R AY1 - Z IH0 Z +SURPRISES(2) S AH0 - P R AY1 - Z IH0 Z +SURPRISING S ER0 - P R AY1 - Z IH0 NG +SURPRISING(2) S AH0 - P R AY1 - Z IH0 NG +SURPRISINGLY S ER0 - P R AY1 - Z IH0 NG - L IY0 +SURPRISINGLY(2) S AH0 - P R AY1 - Z IH0 NG - L IY0 +SURRATT S AO1 - R AH0 T +SURREAL S ER0 - IY1 L +SURREALISM S ER0 - IY1 - L IH0 - Z AH0 M +SURREALISM'S S ER0 - IY1 - L IH0 - Z AH0 M Z +SURREALISM'S(2) S ER0 - IY1 - AH0 - L IH2 - Z AH0 M Z +SURREALISM(2) S ER0 - IY1 - AH0 - L IH2 - Z AH0 M +SURREALISMS S ER0 - IY1 - L IH0 - Z AH0 M Z +SURREALISMS(2) S ER0 - IY1 - AH0 - L IH2 - Z AH0 M Z +SURREALISTIC S ER0 - IY2 - L IH1 - S T IH0 K +SURREALISTIC(2) S ER0 - IY2 - AH0 - L IH1 - S T IH0 K +SURREBUTTAL S ER1 - IH0 - B AH0 - T AH0 L +SURREBUTTAL(2) S ER1 - IY0 - B AH0 - T AH0 L +SURRELL S AO1 - R AH0 L +SURRENCY S AO1 - R AH0 N - S IY0 +SURRENDER S ER0 - EH1 N - D ER0 +SURRENDERED S ER0 - EH1 N - D ER0 D +SURRENDERING S ER0 - EH1 N - D ER0 - IH0 NG +SURRENDERS S ER0 - EH1 N - D ER0 Z +SURREPTITIOUS S ER2 - AH0 P - T IH1 - SH AH0 S +SURREPTITIOUSLY S ER2 - AH0 P - T IH1 - SH AH0 S - L IY0 +SURRETT S AO1 - R IH0 T +SURRETTE S ER0 - EH1 T +SURREY S ER1 - IY0 +SURROGACY S ER1 - AH0 - G AH0 - S IY0 +SURROGATE S ER1 - AH0 - G AH0 T +SURROGATE(2) S ER1 - AH0 - G EY2 T +SURROGATES S ER1 - AH0 - G AH0 T S +SURROGATES(2) S ER1 - AH0 - G EY2 T S +SURROUND S ER0 - AW1 N D +SURROUNDED S ER0 - AW1 N - D AH0 D +SURROUNDED(2) S ER0 - AW1 N - D IH0 D +SURROUNDING S ER0 - AW1 N - D IH0 NG +SURROUNDINGS S ER0 - AW1 N - D IH0 NG Z +SURROUNDS S ER0 - AW1 N D Z +SURRY S ER1 - IY0 +SURTAX S ER1 - T AE2 K S +SURTAXES S ER1 - T AE2 K - S IH0 Z +SURVEIL S ER0 - V EY1 L +SURVEILLANCE S ER0 - V EY1 - L AH0 N S +SURVEILLING S ER0 - V EY1 - L IH0 NG +SURVEY S ER0 - V EY1 +SURVEY'S S ER0 - V EY1 Z +SURVEY'S(2) S ER1 - V EY2 Z +SURVEY(2) S ER1 - V EY2 +SURVEYED S ER0 - V EY1 D +SURVEYED(2) S ER1 - V EY2 D +SURVEYING S ER0 - V EY1 - IH0 NG +SURVEYING(2) S ER1 - V EY2 - IH0 NG +SURVEYOR S ER0 - V EY1 - ER0 +SURVEYOR(2) S ER1 - V EY2 - ER0 +SURVEYORS S ER0 - V EY1 - ER0 Z +SURVEYORS(2) S ER2 - V EY2 - ER0 Z +SURVEYS S ER0 - V EY1 Z +SURVEYS(2) S ER1 - V EY2 Z +SURVIVABILITY S ER0 - V AY2 - V AH0 - B IH1 - L IH0 - T IY0 +SURVIVABLE S ER0 - V AY1 - V AH0 - B AH0 L +SURVIVAL S ER0 - V AY1 - V AH0 L +SURVIVALIST S ER0 - V AY1 - V AH0 - L IH0 S T +SURVIVALISTS S ER0 - V AY1 - V AH0 - L IH0 S T S +SURVIVALISTS(2) S ER0 - V AY1 - V AH0 - L IH0 S S +SURVIVALISTS(3) S ER0 - V AY1 - V AH0 - L IH0 S +SURVIVE S ER0 - V AY1 V +SURVIVED S ER0 - V AY1 V D +SURVIVES S ER0 - V AY1 V Z +SURVIVING S ER0 - V AY1 - V IH0 NG +SURVIVOR S ER0 - V AY1 - V ER0 +SURVIVOR'S S ER0 - V AY1 - V ER0 Z +SURVIVORS S ER0 - V AY1 - V ER0 Z +SUS S AH1 S +SUSA S UW1 - S AH0 +SUSAN S UW1 - Z AH0 N +SUSAN'S S UW1 - Z AH0 N Z +SUSANA S UW0 - S AA1 - N AH0 +SUSANN S UW2 - Z AE1 N +SUSANNA S UW0 - Z AE1 - N AH0 +SUSANNAH S UW2 - S AE1 - N AH0 +SUSANNE S UW2 - Z AE1 N +SUSCEPTIBILITY S AH0 - S EH2 P - T AH0 - B IH1 - L AH0 - T IY0 +SUSCEPTIBLE S AH0 - S EH1 P - T AH0 - B AH0 L +SUSETTE S UW2 - Z EH1 T +SUSHI S UW1 - SH IY0 +SUSI S UW1 - S IY0 +SUSIE S UW1 - Z IY0 +SUSIE'S S UW1 - Z IY0 Z +SUSKI S AH1 S - K IY0 +SUSKIND S AH1 - S K IH0 N D +SUSKO S AH1 - S K OW0 +SUSMAN S AH1 S - M AH0 N +SUSONG S AH1 - S AO0 NG +SUSPECT S AH0 - S P EH1 K T +SUSPECT'S S AH0 - S P EH1 K T S +SUSPECT(2) S AH1 - S P EH2 K T +SUSPECTED S AH0 - S P EH1 K - T AH0 D +SUSPECTED(2) S AH0 - S P EH1 K - T IH0 D +SUSPECTING S AH0 - S P EH1 K - T IH0 NG +SUSPECTS S AH0 - S P EH1 K T S +SUSPECTS' S AH1 - S P EH2 K T S +SUSPECTS(2) S AH1 - S P EH2 K T S +SUSPECTS(3) S AH0 - S P EH1 K S +SUSPECTS(4) S AH1 - S P EH2 K S +SUSPEND S AH0 - S P EH1 N D +SUSPENDED S AH0 - S P EH1 N - D AH0 D +SUSPENDED(2) S AH0 - S P EH1 N - D IH0 D +SUSPENDER S AH0 - S P EH1 N - D ER0 +SUSPENDERS S AH0 - S P EH1 N - D ER0 Z +SUSPENDING S AH0 - S P EH1 N - D IH0 NG +SUSPENDS S AH0 - S P EH1 N D Z +SUSPENSE S AH0 - S P EH1 N S +SUSPENSEFUL S AH0 - S P EH1 N S - F AH0 L +SUSPENSION S AH0 - S P EH1 N - SH AH0 N +SUSPENSIONS S AH0 - S P EH1 N - SH AH0 N Z +SUSPICION S AH0 - S P IH1 - SH AH0 N +SUSPICIONS S AH0 - S P IH1 - SH AH0 N Z +SUSPICIOUS S AH0 - S P IH1 - SH AH0 S +SUSPICIOUSLY S AH0 - S P IH1 - SH AH0 S - L IY0 +SUSQUEHANNA S UW2 S K - W EH0 - HH AE1 - N AH0 +SUSQUEHANNA'S S UW2 S K - W EH0 - HH AE1 - N AH0 Z +SUSS S AH1 S +SUSSER S AH1 - S ER0 +SUSSEX S AH1 - S IH0 K S +SUSSKIND S AH1 - S K IH0 N D +SUSSMAN S AH1 S - M AH0 N +SUSSWEIN S AH1 - S W IY2 N +SUSSWEIN(2) S AH1 - S W AY2 N +SUSTAIN S AH0 - S T EY1 N +SUSTAINABILITY S AH0 - S T EY2 - N AH0 - B IH1 - L IH0 - T IY0 +SUSTAINABLE S AH0 - S T EY1 - N AH0 - B AH0 L +SUSTAINED S AH0 - S T EY1 N D +SUSTAINING S AH0 - S T EY1 - N IH0 NG +SUSTAINS S AH0 - S T EY1 N Z +SUSTAITA S UW0 - S T EY1 - T AH0 +SUSTENANCE S AH1 - S T AH0 - N AH0 N S +SUSTEREN S AH0 - S T EH1 - R AH0 N +SUSUMU S UW2 - S UW1 - M UW0 +SUSY S UW1 - Z IY0 +SUTCH S AH1 CH +SUTCLIFF S AH1 T K - L IH0 F +SUTCLIFFE S AH1 T K - L IH0 F +SUTER S UW1 - T ER0 +SUTERA S UW0 - T EH1 - R AH0 +SUTFIN S AH1 T - F IH0 N +SUTHARD S AH1 - TH ER0 D +SUTHER S AH1 - DH ER0 +SUTHERLAND S AH1 - DH ER0 - L AH0 N D +SUTHERLIN S AH1 - TH ER0 - L IH0 N +SUTHERLIN(2) S AH1 - DH ER0 - L IH0 N +SUTHERS S AH1 - DH ER0 Z +SUTLEY S AH1 T - L IY0 +SUTLIFF S AH1 T - L IH0 F +SUTNER S AH1 T - N ER0 +SUTNICK S AH1 T - N IH0 K +SUTO S UW1 - T OW0 +SUTOR S UW1 - T ER0 +SUTPHEN S AH1 T - F AH0 N +SUTPHIN S AH1 T - F IH0 N +SUTRO S UW1 - T R OW0 +SUTRO'S S UW1 - T R OW0 Z +SUTTER S AH1 - T ER0 +SUTTLE S AH1 - T AH0 L +SUTTLES S AH1 - T AH0 L Z +SUTTMEIER S AH1 T - M AY2 R +SUTTON S AH1 - T AH0 N +SUTTON'S S AH1 - T AH0 N Z +SUTURE S UW1 - CH ER0 +SUTURES S UW1 - CH ER0 Z +SUU EH1 - S Y UW1 - Y UW1 +SUU(2) S UW1 +SUVA S UW1 - V AH0 +SUYDAM S AY1 - D AH0 M +SUZANNA S UW2 - Z AE1 - N AH0 +SUZANNE S UW0 - Z AE1 N +SUZETTE S UW2 - Z EH1 T +SUZHOU S UW1 Z - HH OW2 +SUZIE S AH1 - Z IY0 +SUZMAN S UW1 Z - M AH0 N +SUZUANA S UW0 - Z UW0 - AA1 - N AH0 +SUZUKI S AH0 - Z UW1 - K IY0 +SUZY S UW1 - Z IY0 +SUZY'S S UW1 - Z IY0 Z +SVEC S V EH1 K +SVEHLA S V EH1 - L AH0 +SVELTE S V EH1 L T +SVEN S V EH1 N +SVENDSEN S V EH1 N D - S AH0 N +SVENSKA S V EH1 N - S K AH0 +SVENSON S V EH1 N - S AH0 N +SVENSSON S V EH1 N - S AH0 N +SVERDLOVSK S V ER1 D - L AA0 V S K +SVERIGE S V EH1 - R IH0 JH +SVETLANA S V EH2 T - L AA1 - N AH0 +SVETLIK S V EH1 T - L IH0 K +SVITAK S V IH1 - T AH0 K +SVIZZERA S V IH0 - Z EH1 - R AH0 +SVOBODA S V OW0 - B OW1 - D AH0 +SVORAY S V AO1 - R EY2 +SWAB S W AA1 B +SWABS S W AA1 B Z +SWABY S W AA1 - B IY0 +SWACKHAMER S W AO1 - K AE2 - M ER0 +SWADER S W EY1 - D ER0 +SWADLEY S W AA1 D - L IY0 +SWAFFORD S W AA1 - F ER0 D +SWAGER S W EY1 - G ER0 +SWAGERTY S W AE1 - JH ER0 - T IY0 +SWAGGART S W AE1 - G ER0 T +SWAGGER S W AE1 - G ER0 +SWAGGERING S W AE1 - G ER0 - IH0 NG +SWAGGERTY S W AE1 - G ER0 - T IY0 +SWAHILI S W AA0 - HH IY1 - L IY0 +SWAILES S W EY1 L Z +SWAILS S W EY1 L Z +SWAIM S W EY1 M +SWAIN S W EY1 N +SWAINE S W EY1 N +SWAINSTON S W EY1 N - S T AH0 N +SWALES S W EY1 L Z +SWALLEY S W AO1 - L IY0 +SWALLOW S W AA1 - L OW0 +SWALLOW(2) S W AO1 - L OW0 +SWALLOWED S W AA1 - L OW0 D +SWALLOWING S W AA1 - L OW0 - IH0 NG +SWALLOWS S W AA1 - L OW0 Z +SWAM S W AE1 M +SWAMI S W AA1 - M IY0 +SWAMINATHAN S W AA2 - M IH0 - N AA1 - TH AH0 N +SWAMP S W AA1 M P +SWAMP(2) S W AO1 M P +SWAMPBUSTER S W AA1 M P - B AH2 - S T ER0 +SWAMPED S W AO1 M P T +SWAMPER S W AA1 M - P ER0 +SWAMPERS S W AA1 M - P ER0 Z +SWAMPING S W AA1 M - P IH0 NG +SWAMPS S W AA1 M P S +SWAMPS(2) S W AO1 M P S +SWAMPY S W AA1 M - P IY0 +SWAN S W AA1 N +SWAN(2) S W AO1 N +SWANBERG S W AA1 N - B ER0 G +SWANDA S W AA1 N - D AH0 +SWANDER S W AA1 N - D ER0 +SWANEE S W AA1 - N IY1 +SWANER S W AO1 - N ER0 +SWANEY S W AO1 - N IY0 +SWANGER S W AO1 NG - ER0 +SWANGO S W AA1 NG - G OW0 +SWANIGAN S W AA1 - N IH0 - G AH0 N +SWANK S W AE1 NG K +SWANKE S W AO1 NG K +SWANKY S W AA1 NG - K IY0 +SWANN S W AA1 N +SWANN'S S W AA1 N Z +SWANNER S W AA1 - N ER0 +SWANS S W AA1 N Z +SWANS(2) S W AO1 N Z +SWANSON S W AA1 N - S AH0 N +SWANSTROM S W AA1 N - S T R AH0 M +SWANTEK S W AO1 N - T IH0 K +SWANTON S W AA1 N - T AH0 N +SWANZY S W AA1 N - Z IY0 +SWAP S W AA1 P +SWAPE S W EY1 P +SWAPES S W EY1 P S +SWAPO S W AA1 - P OW0 +SWAPO'S S W AA1 - P OW0 Z +SWAPP S W AA1 P +SWAPPED S W AA1 P T +SWAPPED(2) S W AO1 P T +SWAPPING S W AA1 - P IH0 NG +SWAPS S W AA1 P S +SWARD S W AO1 R D +SWARINGEN S W EH1 - R IH0 - NG AH0 N +SWARM S W AO1 R M +SWARMED S W AO1 R M D +SWARMING S W AO1 R - M IH0 NG +SWARMS S W AO1 R M Z +SWARNER S W AO1 R - N ER0 +SWAROVSKI S W AA0 - R AA1 V S - K IY0 +SWART S W AO1 R T +SWARTHMORE S W AO1 R TH - M AO2 R +SWARTHOUT S W AO1 R TH - AW2 T +SWARTHY S W AO1 R - DH IY0 +SWARTHY(2) S W AO1 R - TH IY0 +SWARTLEY S W AO1 R T - L IY0 +SWARTOUT S W AO1 R - T AH0 T +SWARTS S W AO1 R T S +SWARTWOOD S W AO1 R T - W UH2 D +SWARTWOUT S W AO1 R T - W AW0 T +SWARTZ S W AO1 R T S +SWARTZ(2) SH W AO1 R T S +SWARTZBAUGH S W AO1 R T S - B AA0 +SWARTZENDRUBER S W AO1 R T - S AH0 N - D R UW0 - B ER0 +SWARTZENTRUBER S W AO1 R T - S AH0 N - T R UW0 - B ER0 +SWARTZLANDER S W AO1 R T S - L AE2 N - D ER0 +SWARTZWELDER S W AO1 R T S - W EH2 L - D ER0 +SWASEY S W AA1 - Z IY0 +SWASHBUCKLING S W AA1 SH - B AH2 - K L IH0 NG +SWASTIKA S W AA1 - S T IH0 - K AH0 +SWASTIKAS S W AA1 - S T IH0 - K AH0 Z +SWAT S W AA1 T +SWATCH S W AA1 CH +SWATCHED S W AA1 CH T +SWATCHES S W AA1 - CH AH0 Z +SWATCHES(2) S W AA1 - CH IH0 Z +SWATCHING S W AA1 - CH IH0 NG +SWATEK S W AO1 - T IH0 K +SWATH S W AA1 TH +SWATHE S W AA1 DH +SWATHE(2) S W EY1 DH +SWATHED S W AA1 DH D +SWATOW S W AA1 - T OW2 +SWATTED S W AA1 - T IH0 D +SWATZELL S W AO1 T - Z AH0 L +SWAUGER S W AW1 - G ER0 +SWAVELY S W EY1 V - L IY0 +SWAY S W EY1 +SWAYED S W EY1 D +SWAYING S W EY1 - IH0 NG +SWAYNE S W EY1 N +SWAYS S W EY1 Z +SWAYZE S W EY1 Z +SWAYZE(2) S W EY1 - Z IY0 +SWAZI S W AA1 - Z IY0 +SWAZILAND S W AA1 - Z IH0 - L AH0 N D +SWEANEY S W IY1 - N IY0 +SWEANY S W IY1 - N IY0 +SWEAR S W EH1 R +SWEARENGEN S W IH1 - R IH0 - NG AH0 N +SWEARENGIN S W EH1 - R IH0 - NG AH0 N +SWEARING S W EH1 - R IH0 NG +SWEARINGEN S W EH1 - R IH0 - NG AH0 N +SWEARINGIN S W EH1 - R IH0 - NG AH0 N +SWEARS S W EH1 R Z +SWEAT S W EH1 T +SWEATED S W EH1 - T IH0 D +SWEATER S W EH1 - T ER0 +SWEATERS S W EH1 - T ER0 Z +SWEATIN' S W EH1 - T IH0 N +SWEATING S W EH1 - T IH0 NG +SWEATMAN S W IY1 T - M AH0 N +SWEATPANTS S W EH1 T - P AE2 N T S +SWEATS S W EH1 T S +SWEATSHIRT S W EH1 T - SH ER2 T +SWEATSHIRTS S W EH1 T - SH ER2 T S +SWEATSHOP S W EH1 T - SH AA2 P +SWEATSHOPS S W EH1 T - SH AA2 P S +SWEATSUIT S W EH1 T - S UW2 T +SWEATT S W IY1 T +SWEATY S W EH1 - T IY0 +SWEAZY S W IY1 - Z IY0 +SWECKER S W EH1 - K ER0 +SWED S W EH1 D +SWEDA S W IY1 - D AH0 +SWEDBERG S W EH1 D - B ER0 G +SWEDE S W IY1 D +SWEDEN S W IY1 - D AH0 N +SWEDEN'S S W IY1 - D AH0 N Z +SWEDES S W IY1 D Z +SWEDISH S W IY1 - D IH0 SH +SWEDLUND S W EH1 D - L AH0 N D +SWEEDEN S W IY1 - D AH0 N +SWEEN S W IY1 N +SWEENEY S W IY1 - N IY0 +SWEENY S W IY1 - N IY0 +SWEEP S W IY1 P +SWEEPER S W IY1 - P ER0 +SWEEPERS S W IY1 - P ER0 Z +SWEEPING S W IY1 - P IH0 NG +SWEEPS S W IY1 P S +SWEEPSTAKE S W IY1 P - S T EY2 K +SWEEPSTAKES S W IY1 P - S T EY2 K S +SWEERS S W IH1 R Z +SWEET S W IY1 T +SWEETEN S W IY1 - T AH0 N +SWEETENED S W IY1 - T AH0 N D +SWEETENER S W IY1 - T AH0 N - ER0 +SWEETENER(2) S W IY1 T - N ER0 +SWEETENERS S W IY1 - T AH0 N - ER0 Z +SWEETENERS(2) S W IY1 T - N ER0 Z +SWEETENING S W IY1 - T AH0 N - IH0 NG +SWEETENING(2) S W IY1 T - N IH0 NG +SWEETENS S W IY1 - T AH0 N Z +SWEETER S W IY1 - T ER0 +SWEETEST S W IY1 - T AH0 S T +SWEETHEART S W IY1 T - HH AA2 R T +SWEETHEARTS S W IY1 T - HH AA2 R T S +SWEETIE S W IY1 - T IY0 +SWEETING S W IY1 - T IH0 NG +SWEETLAND S W IY1 T - L AH0 N D +SWEETLY S W IY1 T - L IY0 +SWEETMAN S W IY1 T - M AH0 N +SWEETNESS S W IY1 T - N AH0 S +SWEETON S W IY1 - T AH0 N +SWEETS S W IY1 T S +SWEETSER S W IY1 T - S ER0 +SWEETWATER S W IY1 T - W AA2 - T ER0 +SWEEZEY S W IY1 - Z IY0 +SWEEZY S W IY1 - Z IY0 +SWEGER S W IY1 - G ER0 +SWEHLA S W EH1 - L AH0 +SWEIG S W AY1 G +SWEIGARD S W AY1 - G ER0 D +SWEIGART S W IY1 - G AA0 R T +SWEIGERT S W AY1 - G ER0 T +SWEITZER S W AY1 T - Z ER0 +SWELL S W EH1 L +SWELLED S W EH1 L D +SWELLING S W EH1 - L IH0 NG +SWELLS S W EH1 L Z +SWELTER S W EH1 L - T ER0 +SWELTERING S W EH1 L - T ER0 - IH0 NG +SWEM S W EH1 M +SWENDSEN S W EH1 N D - S AH0 N +SWENET S W EH1 - N AH0 T +SWENEY S W EH1 - N IY0 +SWENSEN S W EH1 N - S AH0 N +SWENSEN'S S W EH1 N - S AH0 N Z +SWENSON S W EH1 N - S AH0 N +SWEPT S W EH1 P T +SWERDLOW S W ER1 D - L AW0 +SWERGOLD S W ER1 - G OW2 L D +SWERLING S W ER1 - L IH0 NG +SWERVE S W ER1 V +SWERVED S W ER1 V D +SWETE S W IY1 T +SWETLAND S W EH1 T - L AH0 N D +SWETNAM S W EH1 T - N AH0 M +SWETT S W EH1 T +SWETZ S W EH1 T S +SWEZEY S W EH1 - Z IY0 +SWIATEK S V IY0 - AA1 - T EH0 K +SWIATKOWSKI S V IY0 - AH0 T - K AO1 F S - K IY0 +SWICEGOOD S W IH1 - S IH0 - G UH0 D +SWICK S W IH1 K +SWICKARD S W IH1 - K ER0 D +SWIDER S W AY1 - D ER0 +SWIDERSKI S V IH0 - D ER1 S - K IY0 +SWIDERSKI(2) S W IH0 - D ER1 S - K IY0 +SWIECH S W IY1 CH +SWIER S W AY1 - ER0 +SWIFT S W IH1 F T +SWIFT'S S W IH1 F T S +SWIFTER S W IH1 F - T ER0 +SWIFTEST S W IH1 F - T AH0 S T +SWIFTLY S W IH1 F T - L IY0 +SWIFTNESS S W IH1 F T - N AH0 S +SWIFTS S W IH1 F T S +SWIG S W IH1 G +SWIGART S W IH1 - G AA2 R T +SWIGER S W AY1 - G ER0 +SWIGERT S W IH1 - G ER0 T +SWIGGUM S W IH1 - G AH0 M +SWIHART S W IH1 - HH AA0 R T +SWILL S W IH1 L +SWILLEY S W IH1 - L IY0 +SWILLING S W IH1 - L IH0 NG +SWILLINGER S W IH1 - L IH0 - NG ER0 +SWIM S W IH1 M +SWIMMER S W IH1 - M ER0 +SWIMMERS S W IH1 - M ER0 Z +SWIMMING S W IH1 - M IH0 NG +SWIMS S W IH1 M Z +SWIMSUIT S W IH1 M - S UW2 T +SWIMSUITS S W IH1 M - S UW2 T S +SWIMWEAR S W IH1 M - W EH2 R +SWINBURNE'S S W IH1 N - B ER0 N Z +SWINBURNES S W IH1 N - B ER0 N Z +SWINDALL S W IH1 N - D AH0 L +SWINDELL S W IH1 N - D AH0 L +SWINDLE S W IH1 N - D AH0 L +SWINDLED S W IH1 N - D AH0 L D +SWINDLEHURST S W IH1 N - D AH0 L - HH ER0 S T +SWINDLER S W IH1 N - D AH0 L - ER0 +SWINDLER(2) S W IH1 N D - L ER0 +SWINDLERS S W IH1 N D - L ER0 Z +SWINDLES S W IH1 N - D AH0 L Z +SWINDLING S W IH1 N D - L IH0 NG +SWINE S W AY1 N +SWINEFORD S W IH1 - N IH0 - F ER0 D +SWINEFORD(2) S W AY1 - N IH0 - F ER0 D +SWINEHART S W AY1 N - HH AA2 R T +SWINEY S W AY1 - N IY0 +SWINFORD S W IH1 N - F ER0 D +SWING S W IH1 NG +SWINGER S W IH1 - NG ER0 +SWINGERS S W IH1 - NG ER0 Z +SWINGING S W IH1 - NG IH0 NG +SWINGLE S W IH1 NG - G AH0 L +SWINGLER S W IH1 NG - G AH0 - L ER0 +SWINGLER(2) S W IH1 NG - G L ER0 +SWINGLEY S W IH1 NG - G L IY0 +SWINGS S W IH1 NG Z +SWINK S W IH1 NG K +SWINNEY S W IH1 - N IY0 +SWINSON S W IH1 N - S AH0 N +SWINT S W IH1 N T +SWINTON S W IH1 N - T AH0 N +SWIPE S W AY1 P +SWIPED S W AY1 P T +SWIPES S W AY1 P S +SWIPING S W AY1 - P IH0 NG +SWIRE S W AY1 R +SWIRL S W ER1 L +SWIRLED S W ER1 L D +SWIRLING S W ER1 - L IH0 NG +SWIRLS S W ER1 L Z +SWIRSKY S W ER1 S - K IY0 +SWISH S W IH1 SH +SWISHED S W IH1 SH T +SWISHER S W IH1 - SH ER0 +SWISHES S W IH1 - SH IH0 Z +SWISS S W IH1 S +SWISSAIR S W IH0 - S EH1 R +SWISSHELM S W IH1 - SH IH0 L M +SWISSHELM(2) S W IH1 S - HH EH0 L M +SWISTAK S W IH1 - S T AH0 K +SWITAJ S W IH0 - T AY1 +SWITALA S W IH0 - T AA1 - L AH0 +SWITALSKI S W IH0 - T AA1 L S - K IY0 +SWITCH S W IH1 CH +SWITCHBLADE S W IH1 CH - B L EY2 D +SWITCHBLADES S W IH1 CH - B L EY2 D Z +SWITCHBOARD S W IH1 CH - B AO2 R D +SWITCHBOARDS S W IH1 CH - B AO2 R D Z +SWITCHED S W IH1 CH T +SWITCHER S W IH1 - CH ER0 +SWITCHERS S W IH1 - CH ER0 Z +SWITCHES S W IH1 - CH AH0 Z +SWITCHES(2) S W IH1 - CH IH0 Z +SWITCHING S W IH1 - CH IH0 NG +SWITZER S W IH1 T - S ER0 +SWITZERLAND S W IH1 T - S ER0 - L AH0 N D +SWITZERLAND'S S W IH1 T - S ER0 - L AH0 N D Z +SWIVEL S W IH1 - V AH0 L +SWIVELING S W IH1 - V AH0 L - IH0 NG +SWIVELING(2) S W IH1 V - L IH0 NG +SWIVELS S W IH1 - V AH0 L Z +SWOBODA S W OW0 - B OW1 - D AH0 +SWOFFORD S W AA1 - F ER0 D +SWOGGER S W AA1 - G ER0 +SWOLLEN S W OW1 - L AH0 N +SWONGER S W AO1 NG - ER0 +SWOON S W UW1 N +SWOONED S W UW1 N D +SWOONING S W UW1 - N IH0 NG +SWOOP S W UW1 P +SWOOPE S W UW1 P +SWOOPED S W UW1 P T +SWOOPING S W UW1 - P IH0 NG +SWOOPS S W UW1 P S +SWOOSH S W UW1 SH +SWOOSHED S W UW1 SH T +SWOPE S W OW1 P +SWOPES S W OW1 P S +SWOR S W ER1 +SWORD S AO1 R D +SWORDFISH S AO1 R D - F IH2 SH +SWORDFISH'S S AO1 R D - F IH2 - SH IH0 Z +SWORDLIKE S AO1 R D - L AY2 K +SWORDPLAY S AO1 R D - P L EY2 +SWORDPLAYS S AO1 R D - P L EY2 Z +SWORDS S AO1 R D Z +SWORE S W AO1 R +SWORN S W AO1 R N +SWOVELAND S W OW1 V - L AH0 N D +SWOYER S W OY1 - ER0 +SWUM S W AH1 M +SWUNG S W AH1 NG +SWYERS S W AY1 - ER0 Z +SWYGERT S W IH1 - G ER0 T +SY S AY1 +SYBASE S AY1 - B EY2 S +SYBASE'S S AY1 - B EY1 - S IH0 Z +SYBERT S IH1 - B ER0 T +SYBIL S IH1 - B IH0 L +SYBILLA S IH0 - B IH1 - L AH0 +SYBILLE S IH1 - B IH0 L +SYBRON S IH1 - B R AH0 N +SYCAMORE S IH1 - K AH0 - M AO2 R +SYCARA S IH0 - K AA1 - R AH0 +SYCOPHANTIC S IH2 - K AH0 - F AE1 N - T IH0 K +SYD S IH1 D +SYDELL S AY2 - D EH1 L +SYDERS S AY1 - D ER0 Z +SYDERS' S AY1 - D ER0 Z +SYDNEY S IH1 D - N IY0 +SYDNEY'S S IH1 D - N IY0 Z +SYDNOR S IH1 D - N ER0 +SYDOW S IH1 - D OW0 +SYED S AY1 D +SYERS S AY1 - ER0 Z +SYFERT S IH1 - F ER0 T +SYKES S AY1 K S +SYKORA S IH0 - K AO1 - R AH0 +SYLER S AY1 - L ER0 +SYLLA S IH1 - L AH0 +SYLLABIC S AH0 - L AE1 - B IH0 K +SYLLABLE S IH1 - L AH0 - B AH0 L +SYLLABLES S IH1 - L AH0 - B AH0 L Z +SYLLABUS S IH1 - L AH0 - B AH0 S +SYLMAR S IH1 L - M AA0 R +SYLVA S IH1 L - V AH0 +SYLVAIN S IH0 L - V EY1 N +SYLVAN S IH1 L - V AH0 N +SYLVANA S IH0 L - V AE1 - N AH0 +SYLVANIA S IH0 L - V EY1 - N IY0 - AH0 +SYLVANUS S IH1 L - V AH0 - N IH0 S +SYLVEST S Y L V EY1 - IH0 S T +SYLVEST(2) S Y L V EH1 S T +SYLVESTER S IH0 L - V EH1 - S T ER0 +SYLVESTRE S IH0 L - V EH1 - S T ER0 +SYLVIA S IH1 L - V IY0 - AH0 +SYLVIA'S S IH1 L - V IY0 - AH0 Z +SYLVIE S IH1 L - V IY0 +SYLVIO S IH1 L - V IY0 - OW0 +SYLVIO'S S IH1 L - V IY0 - OW0 Z +SYLVITE S IH1 L - V AY2 T +SYM S IH1 M +SYMANSKI S IH0 - M AE1 N - S K IY0 +SYMANTEC S IH0 - M AE1 N - T EH2 K +SYMANTEC'S S IH0 - M AE1 N - T EH2 K S +SYMBION S IH1 M - B IY0 - AH0 N +SYMBION'S S IH1 M - B IY0 - AH0 N Z +SYMBIOSIS S IH2 M - B AY0 - OW1 - S AH0 S +SYMBIOTIC S IH2 M - B IY0 - AA1 - T IH0 K +SYMBOL S IH1 M - B AH0 L +SYMBOL'S S IH1 M - B AH0 L Z +SYMBOLIC S IH0 M - B AA1 - L IH0 K +SYMBOLICALLY S IH0 M - B AA1 - L IH0 - K AH0 - L IY0 +SYMBOLICALLY(2) S IH0 M - B AA1 - L IH0 K - L IY0 +SYMBOLICS S IH0 M - B AA1 - L IH0 K S +SYMBOLISM S IH1 M - B AH0 - L IH2 - Z AH0 M +SYMBOLISTS S IH1 M - B AH0 - L AH0 S T S +SYMBOLISTS(2) S IH1 M - B AH0 - L IH0 S T S +SYMBOLISTS(3) S IH1 M - B AH0 - L IH0 S S +SYMBOLISTS(4) S IH1 M - B AH0 - L IH0 S +SYMBOLIZE S IH1 M - B AH0 - L AY2 Z +SYMBOLIZED S IH1 M - B AH0 - L AY2 Z D +SYMBOLIZES S IH1 M - B AH0 - L AY2 - Z AH0 Z +SYMBOLIZES(2) S IH1 M - B AH0 - L AY2 - Z IH0 Z +SYMBOLIZING S IH1 M - B AH0 - L AY2 - Z IH0 NG +SYMBOLS S IH1 M - B AH0 L Z +SYME S AY1 M +SYMES S AY1 M Z +SYMINGTON S IH1 - M IH0 NG - T AH0 N +SYMMES S IH1 M Z +SYMMETRICAL S AH0 - M EH1 - T R IH0 - K AH0 L +SYMMETRICALLY S AH0 - M EH1 - T R IH0 K - L IY0 +SYMMETRY S IH1 - M AH0 - T R IY0 +SYMMONDS S IH1 - M AH0 N D Z +SYMMS S IH1 M Z +SYMON S IH1 - M AH0 N +SYMONDS S IH1 - M AH0 N D Z +SYMONS S IH1 - M AH0 N Z +SYMPATHETIC S IH2 M - P AH0 - TH EH1 - T IH0 K +SYMPATHETICALLY S IH2 M - P AH0 - TH EH1 - T IH0 - K AH0 - L IY0 +SYMPATHETICALLY(2) S IH2 M - P AH0 - TH EH1 - T IH0 K - L IY0 +SYMPATHIES S IH1 M - P AH0 - TH IY0 Z +SYMPATHIZE S IH1 M - P AH0 - TH AY2 Z +SYMPATHIZED S IH1 M - P AH0 - TH AY2 Z D +SYMPATHIZER S IH1 M - P AH0 - TH AY2 - Z ER0 +SYMPATHIZERS S IH1 M - P AH0 - TH AY2 - Z ER0 Z +SYMPATHIZES S IH1 M - P AH0 - TH AY2 - Z IH0 Z +SYMPATHIZING S IH1 M - P AH0 - TH AY2 - Z IH0 NG +SYMPATHY S IH1 M - P AH0 - TH IY0 +SYMPHONIC S IH0 M - F AA1 - N IH0 K +SYMPHONIES S IH1 M - F AH0 - N IY0 Z +SYMPHONY S IH1 M - F AH0 - N IY0 +SYMPHONY'S S IH1 M - F AH0 - N IY0 Z +SYMPOSIUM S IH0 M - P OW1 - Z IY0 - AH0 M +SYMPOSIUMS S IH0 M - P OW1 - Z IY0 - AH0 M Z +SYMPSON S IH1 M P - S AH0 N +SYMPTOM S IH1 M P - T AH0 M +SYMPTOMATIC S IH2 M P - T AH0 - M AE1 - T IH0 K +SYMPTOMS S IH1 M P - T AH0 M Z +SYMS S IH1 M Z +SYMTRON S IH1 M - T R AA2 N +SYN S IH1 N +SYNA S IH1 - N AH0 +SYNAGOGUE S IH1 - N AH0 - G AO2 G +SYNAGOGUES S IH1 - N AH0 - G AO2 G Z +SYNALLOY S IH0 - N AE1 - L OY0 +SYNALLOY'S S IH0 - N AE1 - L OY0 Z +SYNAN S AY1 - N AH0 N +SYNAR S IH1 - N AA0 R +SYNAR(2) S AY1 - N AA0 R +SYNBIOTICS S IH2 N - B IY0 - AA1 - T IH0 K S +SYNBIOTICS(2) S IH2 M - B IY0 - AA1 - T IH0 K S +SYNC S IH1 NG K +SYNCH S IH1 N CH +SYNCHRO S IH1 NG - K R OW0 +SYNCHRONIC S IH0 NG - K R AA1 - N IH0 K +SYNCHRONIZE S IH1 NG - K R AH0 - N AY2 Z +SYNCHRONIZED S IH1 NG - K R AH0 - N AY2 Z D +SYNCOM S IH1 NG - K AA0 M +SYNCOPATE S IH1 NG - K AH0 - P EY2 T +SYNCOPATED S IH1 NG - K AH0 - P EY2 - T IH0 D +SYNCOPATION S IH1 NG - K AH0 - P EY2 - SH AH0 N +SYNCOR S IH1 N - K AO2 R +SYNDER S IH1 N - D ER0 +SYNDICATE S IH1 N - D IH0 - K AH0 T +SYNDICATE'S S IH1 N - D IH0 - K AH0 T S +SYNDICATE(2) S IH1 N - D AH0 - K EY2 T +SYNDICATED S IH1 N - D IH0 - K EY2 - T IH0 D +SYNDICATES S IH1 N - D IH0 - K EY2 T S +SYNDICATES(2) S IH1 N - D IH0 - K AH0 T S +SYNDICATING S IH1 N - D IH0 - K EY2 - T IH0 NG +SYNDICATION S IH2 N - D IH0 - K EY1 - SH AH0 N +SYNDICATIONS S IH2 N - D IH0 - K EY1 - SH AH0 N Z +SYNDICATOR S IH1 N - D IH0 - K EY2 - T ER0 +SYNDICATORS S IH1 N - D IH0 - K EY2 - T ER0 Z +SYNDICATS S IH1 N - D IH0 - K IH2 T S +SYNDROME S IH1 N - D R OW2 M +SYNDROMES S IH1 N - D R OW2 M Z +SYNERGEN S IH1 - N ER0 - JH EH2 N +SYNERGEN'S S IH1 - N ER0 - JH EH2 N Z +SYNERGIES S IH1 - N ER0 - JH IY0 Z +SYNERGISM S IH1 - N ER0 - JH IH2 - Z AH0 M +SYNERGISTIC S IH2 - N ER0 - JH IH1 - S T IH0 K +SYNERGY S IH1 - N ER0 - JH IY0 +SYNERGY'S S IH1 - N ER0 - JH IY0 Z +SYNGMAN S IH1 NG - M AH0 N +SYNHORST S IH1 N - HH AO2 R S T +SYNNOTT S IH1 - N AH0 T +SYNOD S IH1 - N AH0 D +SYNOD'S S IH1 - N AH0 D Z +SYNONYM S IH1 - N AH0 - N IH2 M +SYNONYMOUS S AH0 - N AA1 - N AH0 - M AH0 S +SYNONYMOUSLY S AH0 - N AA1 - N AH0 - M AH0 S - L IY0 +SYNOPSIS S IH0 - N AA1 P - S IH0 S +SYNOPTICS S IH0 - N AA1 P - T IH0 K S +SYNOVUS S AH0 - N OW1 - V AH0 S +SYNOVUS(2) S AY2 - N OW1 - V AH0 S +SYNTAX S IH1 N - T AE2 K S +SYNTECH S IH1 N - T EH2 K +SYNTEX S IH1 N - T EH2 K S +SYNTEX'S S IH1 N - T EH0 K - S IH0 Z +SYNTHESIS S IH1 N - TH AH0 - S AH0 S +SYNTHESIZE S IH1 N - TH AH0 - S AY2 Z +SYNTHESIZED S IH1 N - TH IH0 - S AY2 Z D +SYNTHESIZER S IH1 N - TH AH0 - S AY2 - Z ER0 +SYNTHESIZERS S IH1 N - TH AH0 - S AY2 - Z ER0 Z +SYNTHESIZING S IH1 N - TH AH0 - S AY2 - Z IH0 NG +SYNTHETIC S IH0 N - TH EH1 - T IH0 K +SYNTHETICALLY S IH0 N - TH EH1 - T IH0 K - L IY0 +SYNTHETICS S IH0 N - TH EH1 - T IH0 K S +SYNTREX S IH1 N - T R AH0 K S +SYP S AY1 P +SYP(2) EH1 - S W AY1 - P IY1 +SYPHER S IH1 - F ER0 +SYPHERS S IH1 - F ER0 Z +SYPHILIS S IH1 - F AH0 - L IH0 S +SYPHON S AY1 - F AH0 N +SYPNIEWSKI S IH0 P - N IY0 - EH1 F S - K IY0 +SYPNIEWSKI(2) S IH0 P - N UW1 S - K IY0 +SYPOLT S IH1 - P OW0 L T +SYRACUSE S IH1 - R AH0 - K Y UW2 Z +SYREK S IH1 - R IH0 K +SYRIA S IH1 - R IY0 - AH0 +SYRIA'S S IH1 - R IY0 - AH0 Z +SYRIAN S IH1 - R IY0 - AH0 N +SYRIANS S IH1 - R IY0 - AH0 N Z +SYRING S AY1 - R IH0 NG +SYRINGE S ER0 - IH1 N JH +SYRINGE(2) S IH1 - R IH0 N JH +SYRINGES S ER0 - IH1 N - JH AH0 Z +SYRON S AY1 - R AH0 N +SYRUP S ER1 - AH0 P +SYRUP(2) S IH1 - R AH0 P +SYRUPS S ER1 - AH0 P S +SYSCO S IH1 - S K OW0 +SYSCON S AY1 S - K AH0 N +SYSCON'S S AY1 S - K AH0 N Z +SYSTEM S IH1 - S T AH0 M +SYSTEM'S S IH1 - S T AH0 M Z +SYSTEMATIC S IH2 - S T AH0 - M AE1 - T IH0 K +SYSTEMATICALLY S IH2 - S T AH0 - M AE1 - T IH0 K - L IY0 +SYSTEMATICS S IH2 - S T AH0 - M AE1 - T IH0 K S +SYSTEMHOUSE S IH1 - S T AH0 M - HH AW2 S +SYSTEMHOUSE'S S IH1 - S T AH0 M - HH AW2 - S IH0 Z +SYSTEMIC S IH0 S - T EH1 - M IH0 K +SYSTEMICALLY S AH0 S - T EH1 - M IH0 K - L IY0 +SYSTEMIX S IH1 - S T IH0 - M IH0 K S +SYSTEMIX(2) S IH2 S - T EH1 - M IH0 K S +SYSTEMONE S IH1 - S T AH0 - M OW2 N +SYSTEMS S IH1 - S T AH0 M Z +SYSTEMS' S IH1 - S T AH0 M Z +SYSTEMWIDE S IH1 - S T AH0 M - W AY2 D +SYSTRAN S AY1 - S T R AE2 N +SYSTRAN(2) S IH1 - S T R AE2 N +SYTSMA S IH1 T S - M AH0 +SYVERSON S IH1 - V ER0 - S AH0 N +SYVERTSEN S IH1 - V ER0 T - S AH0 N +SZABO SH AA1 - B OW0 +SZAFRAN SH AA1 - F R AH0 N +SZAFRANSKI SH AH0 - F R AE1 N S - K IY0 +SZALAY SH AA1 - L AY0 +SZALKOWSKI SH AH0 L - K AO1 F S - K IY0 +SZANTO SH AE1 N - T OW0 +SZAREK SH AA1 - R EH0 K +SZATKOWSKI SH AH0 T - K AO1 F S - K IY0 +SZCZECH SH EH1 K +SZCZEPANIAK SH IH0 - P AE1 - N IY0 - AE0 K +SZCZEPANIK SH IH0 - P AE1 - N IH0 K +SZCZEPANSKI SH IH0 - P AE1 N S - K IY0 +SZCZERBA SH ER1 - B AH0 +SZCZESNIAK SH EH1 Z - N IY0 - AE0 K +SZCZESNY SH EH1 Z - N IY0 +SZCZYGIEL SH IH0 - G IY1 L +SZE SH IY1 +SZE(2) SH EY1 +SZE-DI SH EY1 - D IY1 +SZEKELY SH IY1 K - L IY0 +SZELIGA SH IH0 - L AY1 - G AH0 +SZETO SH IY1 - T OW0 +SZEWCZYK SH UW1 - CH IH0 K +SZILAGYI SH IH0 - L AA1 - G IY0 +SZILARD S IH1 - L ER0 D +SZILARD(2) Z IH1 - L ER0 D +SZOKE SH OW1 K +SZOSTAK SH AA1 - S T AH0 K +SZOSTEK SH AA1 - S T EH0 K +SZOT SH AA1 T +SZOTT SH AA1 T +SZUBA SH UW1 - B AH0 +SZUCH SH AH1 CH +SZUCS SH AH1 K S +SZUMSKI SH AH1 M - S K IY0 +SZWED SH V EH1 D +SZYDLOWSKI SH IH0 D - L AO1 F S - K IY0 +SZYMANOWSKI SH IH0 - M AH0 - N AO1 F S - K IY0 +SZYMANSKI SH IH0 - M AE1 N - S K IY0 +SZYMBORSKI SH IH0 M - B AO1 R S - K IY0 +SZYMCZAK SH IH1 M - CH AE0 K +T T IY1 +T'ANG T AE1 NG +T'S T IY1 Z +T-BONE T IY1 - B OW2 N +T-LAM T IY1 - L AE1 M +T. T IY1 +T.'S T IY1 Z +T.S T IY1 Z +TA T AA1 +TAAFFE T AA1 F +TAB T AE1 B +TABACALERA T AH0 - B AE2 - K AH0 - L EH1 - R AH0 +TABACHNECK T AH0 - B AA1 CH - N EH2 K +TABAK T AE1 - B AE0 K +TABAK(2) T AH0 - B AE1 K +TABAKA T AA0 - B AA1 - K AH0 +TABAR T AA0 - B AA1 R +TABARES T AA0 - B AA1 R - EH0 S +TABASCO T AH0 - B AE1 - S K OW0 +TABB T AE1 B +TABBERT T AE1 - B ER0 T +TABBING T AE1 - B IH0 NG +TABBY T AE1 - B IY0 +TABER T EY1 - B ER0 +TABERNACLE T AE1 - B ER0 - N AE2 - K AH0 L +TABITHA T AE1 - B IH0 - TH AH0 +TABLATURE T AE1 - B L AH0 - CH ER0 +TABLE T EY1 - B AH0 L +TABLE'S T EY1 - B AH0 L Z +TABLEAU T AH0 - B L OW1 +TABLEAUX T AH0 - B L OW1 +TABLECLOTH T EY1 - B AH0 L - K L AO2 TH +TABLECLOTHS T EY1 - B AH0 L - K L AO2 TH S +TABLED T EY1 - B AH0 L D +TABLER T EY1 - B AH0 L - ER0 +TABLER(2) T EY1 - B L ER0 +TABLES T EY1 - B AH0 L Z +TABLESPOON T EY1 - B AH0 L - S P UW2 N +TABLESPOONS T EY1 - B AH0 L - S P UW2 N Z +TABLET T AE1 - B L AH0 T +TABLETOP T EY1 - B AH0 L - T AA2 P +TABLETS T AE1 - B L AH0 T S +TABLEWARE T EY1 - B AH0 L - W EH2 R +TABLING T EY1 - B AH0 L - IH0 NG +TABLING(2) T EY1 - B L IH0 NG +TABLOID T AE1 - B L OY0 D +TABLOIDIZATION T AE2 - B L OY0 - D AH0 - Z EY1 - SH AH0 N +TABLOIDS T AE1 - B L OY0 D Z +TABONE T AA1 - B OW0 N +TABOO T AE0 - B UW1 +TABOOS T AE0 - B UW1 Z +TABOR T EY1 - B ER0 +TABOR'S T EY1 - B ER0 Z +TABORN T AE1 - B ER0 N +TABRON T AE1 - B R AH0 N +TABS T AE1 B Z +TABUCHI T AA2 - B UW1 - CH IY0 +TABULATE T AE1 - B Y AH0 - L EY2 T +TABULATED T AE1 - B Y AH0 - L EY2 - T IH0 D +TABULATING T AE1 - B Y AH0 - L EY2 - T IH0 NG +TABULATION T AE2 - B Y AH0 - L EY1 - SH AH0 N +TABULATIONS T AE2 - B Y AH0 - L EY1 - SH AH0 N Z +TABULATURE T AE1 - B Y AH0 - L AH0 - CH ER0 +TAC T AE1 K +TACEY T EY1 - S IY0 +TACIT T AE1 - S IH0 T +TACITA T AA0 - CH IY1 - T AH0 +TACITLY T AE1 - S IH0 T - L IY0 +TACITURN T AE1 - S IH0 - T ER2 N +TACK T AE1 K +TACKE T AE1 K +TACKED T AE1 K T +TACKER T AE1 - K ER0 +TACKETT T AE1 - K IH0 T +TACKING T AE1 - K IH0 NG +TACKITT T AE1 - K IH0 T +TACKLE T AE1 - K AH0 L +TACKLED T AE1 - K AH0 L D +TACKLES T AE1 - K AH0 L Z +TACKLING T AE1 - K L IH0 NG +TACKLING(2) T AE1 - K AH0 L - IH0 NG +TACKS T AE1 K S +TACKY T AE1 - K IY0 +TACO T AA1 - K OW0 +TACOMA T AH0 - K OW1 - M AH0 +TACOMA'S T AH0 - K OW1 - M AH0 Z +TACOS T AA1 - K OW0 Z +TACT T AE1 K T +TACTFUL T AE1 K T - F AH0 L +TACTFULLY T AE1 K T - F AH0 - L IY0 +TACTIC T AE1 K - T IH0 K +TACTICAL T AE1 K - T IH0 - K AH0 L +TACTICALLY T AE1 K - T IH0 - K AH0 - L IY0 +TACTICIAN T AE0 K - T IH1 - SH AH0 N +TACTICIANS T AE0 K - T IH1 - SH AH0 N Z +TACTICS T AE1 K - T IH0 K S +TACTILE T AE1 K - T IH0 L +TACTILE(2) T AE1 K - T AY2 L +TACY T EY1 - S IY0 +TAD T AE1 D +TADA T AA1 - D AH0 +TADASHI T AA2 - D AA1 - SH IY0 +TADD T AE1 D +TADDEI T AE1 - D AY0 +TADDEO T AA1 - D IY0 - OW0 +TADDY T AE1 - D IY0 +TADEUSZ T AE1 - D IY0 - UW0 Z +TADIC T AE1 - D IH0 K +TADLOCK T AE1 D - L AH0 K +TADPOLE T AE1 D - P OW2 L +TADPOLES T AE1 D - P OW2 L Z +TADROS T EY1 - D R OW0 Z +TADYCH T AA1 - D IH0 HH +TAE T EY1 +TAE(2) T AY1 +TAEGU T EY1 - G UW0 +TAEKWONDO T AE1 - K W AA2 N - D OW1 +TAEKWONDO(2) T AY0 - K W AA1 N - D OW0 +TAFARO T AH0 - F AA1 - R OW0 +TAFEL T AE1 - F AH0 L +TAFF T AE1 F +TAFFE T AE1 F +TAFFEL T AE1 - F AH0 L +TAFFETA T AE1 - F AH0 - T AH0 +TAFFY T AE1 - F IY0 +TAFLINGER T EY1 - F AH0 L - IH0 - NG ER0 +TAFLINGER(2) T EY1 - F L IH0 - NG ER0 +TAFOLLA T AH0 - F AA1 - L AH0 +TAFOYA T AA0 - F OY1 - AH0 +TAFT T AE1 F T +TAFT'S T AE1 F T S +TAG T AE1 G +TAGALOG T AE1 - G AH0 - L AA2 G +TAGAMET T AE1 - G AH0 - M EH1 T +TAGANKA T AH0 - G AA1 NG - K AH0 +TAGER T EY1 - G ER0 +TAGG T AE1 G +TAGGART T AE1 - G ER0 T +TAGGART'S T AE1 - G ER0 T S +TAGGE T AE1 G +TAGGED T AE1 G D +TAGGERT T AE1 - G ER0 T +TAGGING T AE1 - G IH0 NG +TAGLE T EY1 - G AH0 L +TAGLIAFERRI T AA0 G - L Y AA0 - F EH1 - R IY0 +TAGLIERI T AA0 - G L IH1 - R IY0 +TAGLINE T AE1 - G L AY2 N +TAGOUT T AE1 G - AW2 T +TAGS T AE1 G Z +TAGUE T AA1 G +TAHER T EY1 - ER0 +TAHITI T AH0 - HH IY1 - T IY0 +TAHMASSEBI T AA2 - M AH0 - S IY1 - B IY0 +TAHOE T AE1 - HH OW0 +TAI T AY1 +TAIBI T EY1 - B IY0 +TAIKO T EY1 - K OW0 +TAIL T EY1 L +TAILED T EY1 L D +TAILGATE T EY1 L - G EY2 T +TAILHOOK T EY1 L - HH UH2 K +TAILING T EY1 - L IH0 NG +TAILINGS T EY1 - L IH0 NG Z +TAILLON T EY1 - L AH0 N +TAILOR T EY1 - L ER0 +TAILORED T EY1 - L ER0 D +TAILORING T EY1 - L ER0 - IH0 NG +TAILORS T EY1 - L ER0 Z +TAILPIPE T EY1 L - P AY2 P +TAILS T EY1 L Z +TAILSPIN T EY1 L - S P IH2 N +TAIMA T AY1 - M AH0 +TAINER T EY1 - N ER0 +TAING T AA1 - IH0 NG +TAINT T EY1 N T +TAINTED T EY1 N - T IH0 D +TAINTER T EY1 N - T ER0 +TAINTING T EY1 N - T IH0 NG +TAINTS T EY1 N T S +TAIPEI T AY1 - P EY2 +TAIPEI'S T AY1 - P EY2 Z +TAIRA T AA0 - IH1 - R AH0 +TAISEI T EY1 - S EY2 +TAISHO T EY1 - SH OW0 +TAIT T EY1 T +TAITE T EY1 T +TAITT T EY1 T +TAIWAN T AY1 - W AA1 N +TAIWAN'S T AY1 - W AA1 N Z +TAIWANESE T AY1 - W AA0 - N IY1 Z +TAIYO T AY1 - Y OW0 +TAJ T AA1 ZH +TAJIK T AA1 - JH IH0 K +TAJIKISTAN T AA2 - JH IY1 - K IH0 - S T AE2 N +TAJIKISTAN'S T AA2 - JH IY1 - K IH0 - S T AE2 N Z +TAJIMA T AA2 - JH IY1 - M AH0 +TAK T AE1 K +TAKACH T AE1 - K AH0 K +TAKACS T AE1 - K AH0 K S +TAKAGI T AA0 - K AA1 - G IY0 +TAKAHASHI T AA0 - K AA0 - HH AA1 - SH IY0 +TAKAKI T AA0 - K AA1 - K IY0 +TAKAKO T AA2 - K AA1 - K OW0 +TAKANASHI T AA2 - K AA2 - N AA1 - SH IY0 +TAKAO T AA2 - K AA1 - OW0 +TAKARA T AA0 - K AA1 - R AH0 +TAKASAGO T AA2 - K AA0 - S AA1 - G OW0 +TAKASHI T AA2 - K AA1 - SH IY0 +TAKASHIMA T AA2 - K AA0 - SH IY1 - M AH0 +TAKASHIMAYA T AA2 - K AA2 - SH IH0 - M AA1 - Y AH0 +TAKATA T AA0 - K AA1 - T AH0 +TAKAYAMA T AA0 - K AA0 - Y AA1 - M AH0 +TAKE T EY1 K +TAKECARE T EY1 - K EH1 R +TAKEDA T AA0 - K EY1 - D AH0 +TAKEI T AA1 - K EY2 +TAKEMOTO T AA0 - K EY0 - M OW1 - T OW0 +TAKEMURA T AA2 - K EY0 - M UH1 - R AH0 +TAKEN T EY1 - K AH0 N +TAKEO T AA2 - K EY1 - OW0 +TAKEOFF T EY1 K - AO2 F +TAKEOFFS T EY1 K - AO2 F S +TAKEOUT T EY1 K - AW2 T +TAKEOVER T EY1 K - OW2 - V ER0 +TAKEOVERS T EY1 K - OW2 - V ER0 Z +TAKER T EY1 - K ER0 +TAKERS T EY1 - K ER0 Z +TAKES T EY1 K S +TAKESHI T AH0 - K EH1 - SH IY0 +TAKESHIMA T AE2 - K IH0 - SH IY1 - M AH0 +TAKESHITA T AA2 - K AH0 - SH IY1 - T AH0 +TAKESHITA'S T AA2 - K AH0 - SH IY1 - T AH0 Z +TAKETA T AA0 - K EY1 - T AH0 +TAKETH T EY1 - K AH0 TH +TAKETOMI T AA2 - K IH0 - T OW1 - M IY0 +TAKEUCHI T AA2 - K EY0 - UW1 - CH IY0 +TAKI T AE1 - K IY0 +TAKI'S T AE1 - K IY0 Z +TAKIHYO T AH0 - K IY1 - Y OW0 +TAKIN' T EY1 - K IH0 N +TAKING T EY1 - K IH0 NG +TAKINGS T EY1 - K IH0 NG Z +TAKLA-MAKAN T AE1 - K L AH0 - M EY1 - K AH0 N +TAKU T AA1 - K UW2 +TAKUSHOKU T AA2 - K AH0 - SH OW1 - K UW0 +TAL T AA1 L +TALAGA T AA0 - L AA1 - G AH0 +TALAL T AH0 - L AA1 L +TALAMANTES T AA0 - L AA0 - M AA1 N - T EH0 S +TALAMANTEZ T AA0 - L AA0 - M AA1 N - T EH0 Z +TALAMO T AA0 - L AA1 - M OW0 +TALARICO T AA0 - L AA0 - R IY1 - K OW0 +TALAVERA T AA0 - L AA0 - V EH1 - R AH0 +TALBERT T AE1 L - B ER0 T +TALBOT T AE1 L - B AH0 T +TALBOT'S T AE1 L - B AH0 T S +TALBOTS T AE1 L - B AH0 T S +TALBOTT T AE1 L - B AH0 T +TALBOTT'S T AE1 L - B AH0 T S +TALC T AE1 L K +TALCOTT T AE1 L - K AH0 T +TALCS T AE1 L K S +TALCUM T AE1 L - K AH0 M +TALE T EY1 L +TALENT T AE1 - L AH0 N T +TALENTED T AE1 - L AH0 N - T AH0 D +TALENTED(2) T AE1 - L AH0 N - T IH0 D +TALENTS T AE1 - L AH0 N T S +TALERICO T AA0 - L ER0 - IY1 - K OW0 +TALES T EY1 L Z +TALESE T AH0 - L IY1 Z +TALESE(2) T AH0 - L IY1 - Z IY0 +TALFORD T AE1 L - F ER0 D +TALIBAN T AE1 - L IH0 - B AE2 N +TALIGENT T AE1 - L IH0 - JH EH0 N T +TALISMAN T AE1 - L IH0 S - M AH0 N +TALITHA T AE1 - L IH0 - DH AH0 +TALK T AO1 K +TALK'S T AO1 K S +TALKABLE T AO1 - K AH0 - B AH0 L +TALKATIVE T AO1 - K AH0 - T IH0 V +TALKBACK T AO1 K - B AE2 K +TALKED T AO1 K T +TALKER T AO1 - K ER0 +TALKERS T AO1 - K ER0 Z +TALKIE T AO1 - K IY0 +TALKIES T AO1 - K IY0 Z +TALKIN T AA1 - K AH0 N +TALKIN' T AO1 - K IH0 N +TALKING T AO1 - K IH0 NG +TALKINGTON T AO1 - K IH0 NG - T AH0 N +TALKS T AO1 K S +TALKY T AO1 - K IY0 +TALL T AO1 L +TALLADEGA T AE2 - L AH0 - D EY1 - G AH0 +TALLAHASSEAN T AE2 - L AH0 - HH AE1 - S IY0 - AH0 N +TALLAHASSEANS T AE2 - L AH0 - HH AE1 - S IY0 - AH0 N Z +TALLAHASSEE T AE2 - L AH0 - HH AE1 - S IY0 +TALLAHASSEE'S T AE2 - L AH0 - HH AE1 - S IY0 Z +TALLANT T AA1 - L AH0 N T +TALLARICO T AA0 - L AA0 - R IY1 - K OW0 +TALLENT T AA1 - L AH0 N T +TALLER T AO1 - L ER0 +TALLERICO T AA0 - L ER0 - IY1 - K OW0 +TALLEST T AO1 - L IH0 S T +TALLEY T AE1 - L IY0 +TALLGRASS T AA1 L - G R AE2 S +TALLIE T AO1 - L IY0 +TALLIED T AE1 - L IY0 D +TALLIES T AE1 - L IY0 Z +TALLIL T AH0 - L IH1 L +TALLMADGE T AE1 L - M AE0 JH +TALLMAN T AO1 L - M AH0 N +TALLO T AE1 - L OW0 +TALLON T AE1 - L AH0 N +TALLOW T AE1 - L OW0 +TALLULA T AA0 - L UW1 - L AH0 +TALLULAH T AE2 - L UW1 - L AH0 +TALLY T AE1 - L IY0 +TALLYHO T AE2 - L IY0 - HH OW1 +TALLYING T AE1 - L IY0 - IH0 NG +TALMADGE T AE1 L - M AE0 JH +TALMAGE T AE1 L - M IH0 JH +TALMAN T AE1 L - M AH0 N +TALMOR T AE1 L - M AO2 R +TALMUD T AE1 L - M AH0 D +TALON T AE1 - L AH0 N +TALONS T AE1 - L AH0 N Z +TALSMA T AA1 L S - M AH0 +TALTON T AE1 L - T AH0 N +TALTOS T AA1 L - T OW0 Z +TALTY T AO1 L - T IY0 +TAM T AE1 M +TAMA T AA1 - M AH0 +TAMALES T AH0 - M AA1 - L IY0 Z +TAMANAHA T AA0 - M AA0 - N AA1 - HH AH0 +TAMARA T AH0 - M AA1 - R AH0 +TAMARAC T AE1 - M ER0 - AE0 K +TAMARGO T AA0 - M AA1 R - G OW0 +TAMARIN T AE1 - M ER0 - AH0 N +TAMARINS T AE1 - M ER0 - AH0 N Z +TAMARISK T AE1 - M ER0 - IH0 S K +TAMARISKS T AE1 - M ER0 - IH0 S K S +TAMAS T AA1 - M AH0 Z +TAMASHIRO T AA0 - M AA0 - SH IH1 - R OW0 +TAMAYO T AA0 - M AA1 - Y OW0 +TAMBLYN T AE1 M - B L IH0 N +TAMBO T AE1 M - B OW0 +TAMBOCOR T AE1 M - B OW0 - K AO2 R +TAMBOURINE T AE2 M - B ER0 - IY1 N +TAMBRANDS T AE1 M - B R AE2 N D Z +TAMBS T AE1 M Z +TAMBURELLO T AA0 M - B UH0 - R EH1 - L OW0 +TAMBURO T AA0 M - B UH1 - R OW0 +TAMBURRI T AA0 M - B UH1 - R IY0 +TAMBURRINO T AA0 M - B UH0 - R IY1 - N OW0 +TAMBURRO T AA0 M - B UH1 - R OW0 +TAME T EY1 M +TAMED T EY1 M D +TAMER T EY1 - M ER0 +TAMES T EY1 M Z +TAMEZ T AA0 - M EH1 Z +TAMIAMI T AE2 - M IY0 - AE1 - M IY0 +TAMIL T AH0 - M IH0 L +TAMIL(2) T AE1 - M IH0 L +TAMILS T AH0 - M IH0 L Z +TAMILS(2) T AE1 - M IH0 L Z +TAMING T EY1 - M IH0 NG +TAMKE T AE1 M - K IY0 +TAMM T AE1 M +TAMMANY T AE1 - M AH0 - N IY0 +TAMMARO T AA0 - M AA1 - R OW0 +TAMMEN T AE1 - M AH0 N +TAMMIE T AE1 - M IY0 +TAMMINGA T AA0 - M IY1 NG - G AH0 +TAMMO T AE1 - M OW0 +TAMMY T AE1 - M IY0 +TAMOXIFEN T AE2 - M AA1 K - S AH0 - F AH0 N +TAMP T AE1 M P +TAMPA T AE1 M - P AH0 +TAMPA'S T AE1 M - P AH0 Z +TAMPAX T AE1 M - P AE2 K S +TAMPER T AE1 M - P ER0 +TAMPERED T AE1 M - P ER0 D +TAMPERING T AE1 M - P ER0 - IH0 NG +TAMPING T AE1 M - P IH0 NG +TAMPLIN T AE1 M - P L IH0 N +TAMPON T AE1 M - P AA0 N +TAMPONS T AE1 M - P AA0 N Z +TAMPOPO T AE2 M - P OW1 - P OW0 +TAMPOSI T AE2 M - P OW1 - S IY0 +TAMPS T AE1 M P S +TAMURA T AA0 - M UH1 - R AH0 +TAN T AE1 N +TANABE T AA0 - N AA1 - B EY0 +TANAKA T AA0 - N AA1 - K AH0 +TANARTKIT T AE2 - N AA1 R T - K IH2 T +TANCREDI T AA0 N - K R EH1 - D IY0 +TANCREDO T AE2 N - K R EY1 - D OW0 +TANDEM T AE1 N - D AH0 M +TANDEM'S T AE1 N - D AH0 M Z +TANDON T AE1 N - D AH0 N +TANDY T AE1 N - D IY0 +TANDY'S T AE1 N - D IY0 Z +TANDYCRAFT T AE1 N - D IY0 - K R AE2 F T +TANDYCRAFTS T AE1 N - D IY0 - K R AE2 F T S +TANEJA T AH0 - N EY1 - HH AH0 +TANEN T AE1 - N AH0 N +TANENBAUM T AE1 - N AH0 N - B AW2 M +TANEY T EY1 - N IY0 +TANG T AE1 NG +TANG(2) T AA1 NG +TANGE T AE1 N JH +TANGEMAN T EY1 N JH - M AH0 N +TANGEN T AE1 - NG AH0 N +TANGENT T AE1 N - JH AH0 N T +TANGENTIAL T AE0 N - JH EH1 N - CH AH0 L +TANGENTIALLY T AE0 N - JH EH1 N - CH AH0 - L IY0 +TANGER T AE1 - NG ER0 +TANGERINE T AE2 N - JH ER0 - IY1 N +TANGERINES T AE1 N - JH ER0 - IY2 N Z +TANGIBLE T AE1 N - JH AH0 - B AH0 L +TANGIBLES T AE1 N - JH AH0 - B AH0 L Z +TANGIERS T AE2 N - JH IH1 R Z +TANGLE T AE1 NG - G AH0 L +TANGLED T AE1 NG - G AH0 L D +TANGLES T AE1 NG - G AH0 L Z +TANGLEWOOD T AE1 NG - G AH0 L - W UH2 D +TANGLING T AE1 NG - G L IH0 NG +TANGNEY T AE1 NG G - N IY0 +TANGO T AE1 NG - G OW0 +TANGOS T AE1 NG - G OW0 Z +TANGQUI T AE1 NG - K W IY1 +TANGREDI T AA0 NG - G R EH1 - D IY0 +TANGS T AE1 NG Z +TANGUAY T AE1 N - G EY0 +TANGUMA T AA0 NG - G UW1 - M AH0 +TANI T AA1 - N IY0 +TANIA T AA1 - N Y AH0 +TANIGUCHI T AA2 - N IH0 - G UW1 - CH IY0 +TANIMOTO T AA0 - N IY0 - M OW1 - T OW0 +TANIMURA T AA2 - N IH0 - M UW1 - R AH0 +TANIS T AE1 - N IH0 S +TANJUG T AE1 N - JH AH2 G +TANK T AE1 NG K +TANK'S T AE1 NG K S +TANKAN T AE1 NG - K AH0 N +TANKARD T AE1 NG - K ER0 D +TANKE T AE1 NG K +TANKED T AE1 NG K T +TANKER T AE1 NG - K ER0 +TANKERS T AE1 NG - K ER0 Z +TANKERSLEY T AE1 NG - K ER0 S - L IY0 +TANKING T AE1 NG - K IH0 NG +TANKS T AE1 NG K S +TANKSLEY T AE1 NG K S - L IY0 +TANN T AE1 N +TANNAHILL T AE1 - N AH0 - HH IH2 L +TANNED T AE1 N D +TANNEHILL T AE1 - N IH0 - HH IH0 L +TANNEN T AE1 - N AH0 N +TANNENBAUM T AE1 - N AH0 N - B AW2 M +TANNER T AE1 - N ER0 +TANNEST T AE1 - N IH0 S T +TANNEY T AE1 - N IY0 +TANNHAUSER T AE1 N - HH AW2 - Z ER0 +TANNING T AE1 - N IH0 NG +TANQUERAY T AE1 NG - K W ER0 - EY2 +TANS T AE1 N Z +TANSEY T AE1 N - Z IY0 +TANSKI T AE1 N - S K IY2 +TANSY T AE1 N - Z IY0 +TANT T AE1 N T +TANTALIZE T AE1 N - T AH0 - L AY2 Z +TANTALIZE(2) T AE1 - N AH0 - L AY2 Z +TANTALIZED T AE1 N - T AH0 - L AY2 Z D +TANTALIZED(2) T AE1 - N AH0 - L AY2 Z D +TANTALIZES T AE1 N - T AH0 - L AY2 - Z IH0 Z +TANTALIZES(2) T AE1 - N AH0 - L AY2 - Z AH0 Z +TANTALIZING T AE1 N - T AH0 - L AY2 - Z IH0 NG +TANTALIZING(2) T AE1 - N AH0 - L AY2 - Z IH0 NG +TANTALIZINGLY T AE1 N - T AH0 - L AY2 - Z IH0 NG - L IY0 +TANTALIZINGLY(2) T AE1 - N AH0 - L AY2 - Z IH0 NG - L IY0 +TANTALUM T AE1 N - T AH0 - L AH0 M +TANTALUS T AE1 N - T AH0 - L AH0 S +TANTAMOUNT T AE1 N - T AH0 - M AW2 N T +TANTILLO T AA0 N - T IH1 - L OW0 +TANTON T AE1 N - T AH0 N +TANTRIC T AE1 N - T R IH0 K +TANTRUM T AE1 N - T R AH0 M +TANTRUMS T AE1 N - T R AH0 M Z +TANU T AA1 - N UW0 +TANYA T AA1 - N Y AH0 +TANZANIA T AE0 N - Z EY1 - N IY0 - AH0 +TANZANIA'S T AE0 N - Z EY1 - N IY0 - AH0 Z +TANZANIA'S(2) T AE2 N - Z AH0 - N IY1 - AH0 Z +TANZANIA'S(3) T AE2 N - Z EY1 - N Y AH0 Z +TANZANIA(2) T AE2 N - Z AH0 - N IY1 - AH0 +TANZANIA(3) T AE2 N - Z EY1 - N Y AH0 +TANZANIAN T AE2 N - Z EY1 - N IY0 - AH0 N +TANZANIAN(2) T AE2 N - Z EY1 - N Y AH0 N +TANZER T AE1 N - Z ER0 +TANZI T AE1 N - Z IY0 +TAO T AW1 +TAO(2) D AW1 +TAOISM D AW1 - IH0 - Z AH0 M +TAOIST D AW1 - IH0 S T +TAOISTS D AW1 - AH0 S T S +TAOISTS(2) D AW1 - AH0 S S +TAOISTS(3) D AW1 - AH0 S +TAORMINA T AA0 - AO0 R - M IY1 - N AH0 +TAOS T AW1 Z +TAP T AE1 P +TAPAS T AH1 - P AH0 S +TAPE T EY1 P +TAPE'S T EY1 P S +TAPED T EY1 P T +TAPEIE T EY1 - P IY0 - EY0 +TAPEIE'S T EY1 - P IY0 - EY0 Z +TAPER T EY1 - P ER0 +TAPERED T EY1 - P ER0 D +TAPERING T EY1 - P ER0 - IH0 NG +TAPERS T EY1 - P ER0 Z +TAPES T EY1 P S +TAPESTRIES T AE1 - P AH0 S - T R IY0 Z +TAPESTRY T AE1 - P AH0 S - T R IY0 +TAPIA T AA1 - P IY0 - AH0 +TAPIAS T AH0 - P IY1 - AH0 S +TAPIE T AE1 - P IY0 +TAPING T EY1 - P IH0 NG +TAPINGS T EY1 - P IH0 NG Z +TAPLEY T AE1 P - L IY0 +TAPLIN T AE1 P - L IH0 N +TAPP T AE1 P +TAPPAN T AE1 - P AH0 N +TAPPE T AE1 P +TAPPED T AE1 P T +TAPPEN T AE1 - P AH0 N +TAPPER T AE1 - P ER0 +TAPPET T AE1 - P AH0 T +TAPPIN T AE1 - P IH0 N +TAPPING T AE1 - P IH0 NG +TAPS T AE1 P S +TAPSCOTT T AE1 P - S K AH0 T +TAR T AA1 R +TARA T EH1 - R AH0 +TARAHUMARA T AA0 - R AH0 - HH UW1 - M AA0 - R AH0 +TARALLO T ER0 - AE1 - L OW0 +TARANGO T AA0 - R AA1 NG - G OW0 +TARANTINO T AA0 - R AA0 N - T IY1 - N OW0 +TARANTO T ER0 - AE1 N - T OW0 +TARANTO'S T ER0 - AE1 N - T OW0 Z +TARANTULA T AH0 - R AE1 N - CH UW0 - L AH0 +TARANTULA(2) T AH0 - R AE1 N - CH AH0 - L AH0 +TARANTULAS T AH0 - R AE1 N - CH UW0 - L AH0 Z +TARANTULAS(2) T AH0 - R AE1 N - CH AH0 - L AH0 Z +TARAS T AA1 - R AH0 Z +TARASOFF T EH1 - R IH0 S - AO0 F +TARAVELLA T AE2 - R AH0 - V EH1 - L AH0 +TARBELL T AA1 R - B EH2 L +TARBERT T AA1 R - B ER0 T +TARBET T AA1 R - B IH0 T +TARBOX T AA1 R - B AA2 K S +TARBUTTON T AA1 R - B AH2 - T AH0 N +TARDIF T AA1 R - D IH0 F +TARDIFF T AA1 R - D IH0 F +TARDINESS T AA1 R - D IY0 - N AH0 S +TARDITI T AA2 R - D IH1 - T IY0 +TARDY T AA1 R - D IY0 +TARGET T AA1 R - G AH0 T +TARGET'S T AA1 R - G AH0 T S +TARGET(2) T ER1 - G AH0 T +TARGETED T AA1 R - G AH0 - T IH0 D +TARGETING T AA1 R - G AH0 - T IH0 NG +TARGETS T AA1 R - G AH0 T S +TARHEEL T AA1 R - HH IY2 L +TARHEELS T AA1 R - HH IY2 L Z +TARIFF T EH1 - R AH0 F +TARIFFS T EH1 - R AH0 F S +TARIN T AA1 - R IY0 N +TARIQ T AA2 - R IY1 K +TARKINGTON T AA1 R - K IH0 NG - T AH0 N +TARKOWSKI T ER0 - K AO1 F S - K IY0 +TARLETON T AA1 R L - T AH0 N +TARLOW T AA1 R - L OW2 +TARLTON T AA1 R L - T AH0 N +TARMAC T AA1 R - M AE2 K +TARMACS T AA1 R - M AE2 K S +TARMAN T AA1 R - M AH0 N +TARNISH T AA1 R - N IH0 SH +TARNISHED T AA1 R - N IH0 SH T +TARNISHING T AA1 R - N IH0 - SH IH0 NG +TARNOFF T AA1 R - N AO2 F +TARNOFF'S T AA1 R - N AO2 F S +TARNOW T AA1 R - N OW0 +TARNOWER T AA1 R - N AW0 - ER0 +TARNOWSKI T ER0 - N AO1 F S - K IY0 +TARO T EH1 - R OW0 +TAROM T EH1 - R AH0 M +TAROT T AE2 - R OW1 +TAROTS T AE2 - R OW1 Z +TARP T AA1 R P +TARPEY T AA1 R - P IY0 +TARPLEY T AA1 R P - L IY0 +TARPON T AA1 R - P AH0 N +TARPS T AA1 R P S +TARPY T AA1 R - P IY0 +TARQUINIO T AA0 R K - W IY1 - N IY0 - OW0 +TARR T AA1 R +TARRANCE T AA1 - R AH0 N S +TARRANT T AA1 - R AH0 N T +TARRED T AA1 R D +TARRING T AA1 - R IH0 NG +TARRY T EH1 - R IY0 +TARRYTOWN T EH1 - R IY0 - T AW2 N +TARSES T AA1 R - S IH0 S +TARSUS T AA1 R - S AH0 S +TART T AA1 R T +TARTAGLIA T AA0 R - T AE1 G - L IY0 - AH0 +TARTAGLIONE T AA0 R - T AE0 G - L IY0 - OW1 - N IY0 +TARTAN T AA1 R - T AH0 N +TARTAR T AA1 R - T ER0 +TARTARS T AA1 R - T ER0 Z +TARTE T AA1 R T +TARTER T AA1 R - T ER0 +TARTIKOFF T AA1 R - T IH0 K - AO2 F +TARTNESS T AA1 R T - N AH0 S +TARTS T AA1 R T S +TARTT T AA1 R T +TARVER T AA1 R - V ER0 +TARVIN T AA1 R - V IH0 N +TARZAN T AA1 R - Z AE2 N +TARZAN'S T AA1 R - Z AE2 N Z +TARZAN'S(2) T AA1 R - Z AH0 N Z +TARZAN(2) T AA1 R - Z AH0 N +TASADAY T AE1 - S AH0 - D EY0 +TASCA T AA1 S - K AH0 +TASCH T AE1 SH +TASCHNER T AE1 SH - N ER0 +TASER T EY1 - Z ER0 +TASH T AE1 SH +TASHIRO T AA0 - SH IH1 - R OW0 +TASHJIAN T AE1 SH - JH IY0 - AH0 N +TASHKENT T AE2 SH - K EH1 N T +TASK T AE1 S K +TASKED T AE1 S K T +TASKER T AE1 - S K ER0 +TASKFORCE T AE1 S K - F AO2 R S +TASKING T AE1 - S K IH0 NG +TASKMASTER T AE1 S K - M AE2 - S T ER0 +TASKS T AE1 S K S +TASM T AE1 - S AH0 M +TASMAN T AE1 Z - M AH0 N +TASMANIA T AE2 Z - M EY1 - N IY0 - AH0 +TASMANIAN T AE2 Z - M EY1 - N IY0 - AH0 N +TASS T AE1 S +TASSEL T AE1 - S AH0 L +TASSELED T AE1 - S AH0 L D +TASSI T AE1 - S IY0 +TASSIN T AE1 - S IH0 N +TASSINARI T AA0 - S IY0 - N AA1 - R IY0 +TASSO T AE1 - S OW2 +TASSONE T AA0 - S OW1 - N IY0 +TASTE T EY1 S T +TASTED T EY1 - S T AH0 D +TASTED(2) T EY1 - S T IH0 D +TASTEFUL T EY1 S T - F AH0 L +TASTEFULLY T EY1 S T - F AH0 - L IY0 +TASTELESS T EY1 S T - L AH0 S +TASTER T EY1 - S T ER0 +TASTER'S T EY1 - S T ER0 Z +TASTERS T EY1 - S T ER0 Z +TASTES T EY1 S T S +TASTIER T EY1 - S T IY0 - ER0 +TASTINESS T EY1 - S T IY0 - N AH0 S +TASTING T EY1 - S T IH0 NG +TASTINGS T EY1 - S T IH0 NG Z +TASTY T EY1 - S T IY0 +TAT T AE1 T +TATA T AA1 - T AH0 +TATAR T AE1 - T ER0 +TATARS T AE1 - T ER0 Z +TATARSTAN T AA1 - T ER0 - S T AE2 N +TATARSTAN(2) T AA1 - T AA2 R - S T AE2 N +TATE T EY1 T +TATE'S T EY1 T S +TATEHO T AH0 - T EY1 - HH OW0 +TATEHO'S T AH0 - T EY1 - HH OW0 Z +TATEM T AE1 - T IH0 M +TATGE T EY1 T JH +TATHAM T AE1 - TH AH0 M +TATIANA T AE2 - T IY2 - AE1 - N AH0 +TATIANA(2) T AE2 - T Y AA1 - N AH0 +TATLOCK T AE1 T - L AA2 K +TATMAN T AE1 T - M AH0 N +TATOM T AE1 - T AH0 M +TATRA T AE1 - T R AH0 +TATRO T AE1 - T R OW0 +TATSCH T AE1 CH +TATSUKICHI T AH0 T - S UW0 - K IY1 - CH IY0 +TATSUNO T AE2 T - S UW1 - N OW0 +TATTER T AE1 - T ER0 +TATTERED T AE1 - T ER0 D +TATTERS T AE1 - T ER0 Z +TATTERSALL T AE1 - T ER0 - S AH0 L +TATTLE T AE1 - T AH0 L +TATTLED T AE1 - T AH0 L D +TATTLER T AE1 T - L ER0 +TATTOO T AE0 - T UW1 +TATTOOED T AE0 - T UW1 D +TATTOOING T AE0 - T UW1 - IH0 NG +TATTOOS T AE0 - T UW1 Z +TATTY T AE1 - T IY0 +TATU T AA0 - T UW1 +TATUM T EY1 - T AH0 M +TATYANA T AA0 - T Y AA1 - N AH0 +TAUB T AW1 B +TAUBE T AO1 B +TAUBER T AW1 - B ER0 +TAUBERT T AW1 - B ER0 T +TAUBES T AW1 B Z +TAUBMAN T AW1 B - M AH0 N +TAUCHER T AW1 - K ER0 +TAUER T AW1 - ER0 +TAUGHT T AO1 T +TAUKE T AW1 K +TAUL T AO1 L +TAULBEE T AO1 L - B IY2 +TAUNT T AO1 N T +TAUNTED T AO1 N - T IH0 D +TAUNTING T AO1 N - T IH0 NG +TAUNTON T AO1 N - T AH0 N +TAUNTS T AO1 N T S +TAURUS T AO1 - R AH0 S +TAURUSES T AO1 - R AH0 - S AH0 Z +TAUSCH T AW1 SH +TAUSCHER T AW1 - SH ER0 +TAUSSIG T AW1 - S IH0 G +TAUT T AO1 T +TAUZIN T AW1 - Z IH0 N +TAVANO T AA0 - V AA1 - N OW0 +TAVARES T AA0 - V AA1 - R EH0 S +TAVAREZ T AA0 - V AA1 - R EH0 Z +TAVEL T AA0 - V EH1 L +TAVENNER T AE1 - V IH0 - N ER0 +TAVERA T AA0 - V EH1 - R AH0 +TAVERAS T AA0 - V EH1 - R AA0 Z +TAVERN T AE1 - V ER0 N +TAVERNA T AA0 - V EH1 R - N AH0 +TAVERNIER T AE1 - V ER0 - N IY0 - ER0 +TAVERNS T AE1 - V ER0 N Z +TAVES T EY1 V Z +TAVIE T EY1 - V IY0 +TAVIS T AA1 - V IH0 S +TAVISH T EY1 - V IH0 SH +TAVIST T AE1 - V IH0 S T +TAVLIN T AE1 V - L IH0 N +TAVOULAREAS T AA0 - V UW0 - L EH1 - R IY0 - AH0 S +TAVY T EY1 - V IY0 +TAWANA T AA2 W - AA1 - N AH0 +TAWDRY T AO1 - D R IY0 +TAWES T AO1 Z +TAWIL T AO1 - AH0 L +TAWNEY T AO1 - N IY0 +TAWNY T AA1 - N IY0 +TAX T AE1 K S +TAX'S T AE1 K - S IH0 Z +TAXABILITY T AE2 K - S AH0 - B IH1 - L IH0 - T IY0 +TAXABLE T AE1 K - S AH0 - B AH0 L +TAXABLES T AE1 K - S AH0 - B AH0 L Z +TAXATION T AE0 K - S EY1 - SH AH0 N +TAXCUT T AE1 K - S K AH2 T +TAXED T AE1 K S T +TAXER T AE1 K - S ER0 +TAXERS T AE1 K - S ER0 Z +TAXES T AE1 K - S AH0 Z +TAXES' T AE1 K - S IH0 Z +TAXES(2) T AE1 K - S IH0 Z +TAXI T AE1 K - S IY0 +TAXI'S T AE1 K - S IY0 Z +TAXICAB T AE1 K - S IY0 - K AE2 B +TAXICABS T AE1 K - S IY0 - K AE2 B Z +TAXIED T AE1 K - S IY0 D +TAXIING T AE1 K - S IY0 - IH0 NG +TAXING T AE1 K - S IH0 NG +TAXIS T AE1 K - S IY0 Z +TAXOL T AE1 K - S AA2 L +TAXPAYER T AE1 K - S P EY2 - ER0 +TAXPAYER'S T AE1 K - S P EY2 - ER0 Z +TAXPAYERS T AE1 K - S P EY2 - ER0 Z +TAXPAYERS' T AE1 K - S P EY2 - ER0 Z +TAXPAYING T AE1 K - S P EY2 - IH0 NG +TAY T EY1 +TAYLER T EY1 - L ER0 +TAYLOE T EY1 - L OW0 +TAYLOR T EY1 - L ER0 +TAYLOR'S T EY1 - L ER0 Z +TAYLORS T EY1 - L ER0 Z +TAYMAN T EY1 - M AH0 N +TAYS T EY1 Z +TB T IY1 - B IY1 +TBILISI T AH0 - B IH0 - L IY1 - S IY0 +TBILISI(2) T AH0 - B L IY1 - S IY0 +TCAS T IY1 - S IY1 - EY1 - EH1 S +TCHAIKOVSKY CH EY2 - K AA1 V S - K IY0 +TCHAIKOVSKY'S CH EY2 - K AA1 V - S K IY0 Z +TCHAIKOVSKY'S(2) CH AY2 - K AA1 V - S K IY0 Z +TCHAIKOVSKY'S(3) CH AY2 - K AA1 F - S K IY0 Z +TCHAIKOVSKY(2) CH AY2 - K AA1 V S - K IY0 +TCHAIKOVSKY(3) CH AY2 - K AA1 F S - K IY0 +TCHURUK CH UH1 - R IH0 K +TE T IY1 +TEA T IY1 +TEAC T IY1 K +TEAC(2) T IY1 - AE0 K +TEACH T IY1 CH +TEACHABLE T IY1 - CH AH0 - B AH0 L +TEACHER T IY1 - CH ER0 +TEACHER'S T IY1 - CH ER0 Z +TEACHERS T IY1 - CH ER0 Z +TEACHERS' T IY1 - CH ER0 Z +TEACHES T IY1 - CH AH0 Z +TEACHES(2) T IY1 - CH IH0 Z +TEACHEY T IY1 - CH IY0 +TEACHING T IY1 - CH IH0 NG +TEACHINGS T IY1 - CH IH0 NG Z +TEACHOUT T IY1 CH - AW2 T +TEACUP T IY1 - K AH2 P +TEAFORD T IY1 - F AO2 R D +TEAFORD(2) T IY1 - F ER0 D +TEAGARDEN T IY1 - G AA2 R - D AH0 N +TEAGLE T IY1 - G AH0 L +TEAGUE T IY1 G +TEAHAN T IY1 - AH0 N +TEAK T IY1 K +TEAKWOOD T IY1 K - W UH2 D +TEAL T IY1 L +TEALE T IY1 L +TEALL T IY1 L +TEAM T IY1 M +TEAM'S T IY1 M Z +TEAMED T IY1 M D +TEAMER T IY1 - M ER0 +TEAMING T IY1 - M IH0 NG +TEAMMATE T IY1 - M EY2 T +TEAMMATES T IY1 M - M EY2 T S +TEAMS T IY1 M Z +TEAMS' T IY1 M Z +TEAMSTER T IY1 M - S T ER0 +TEAMSTER'S T IY1 M - S T ER0 Z +TEAMSTERS T IY1 M - S T ER0 Z +TEAMSTERS' T IY1 M - S T ER0 Z +TEAMWORK T IY1 M - W ER2 K +TEANECK T IY1 - N EH2 K +TEANEY T IY1 - N IY0 +TEAPOT T IY1 - P AA2 T +TEAR T EH1 R +TEAR(2) T IH1 R +TEARE T IY1 R +TEARFUL T IH1 R - F AH0 L +TEARFULLY T IH1 R - F AH0 - L IY0 +TEARING T EH1 - R IH0 NG +TEARING(2) T IH1 - R IH0 NG +TEARLE T AO1 - R AH0 L +TEARS T EH1 R Z +TEARS(2) T IH1 R Z +TEARY T IH1 - R IY0 +TEAS T IY1 Z +TEASDALE T IY1 Z - D EY2 L +TEASE T IY1 Z +TEASED T IY1 Z D +TEASER T IY1 - Z ER0 +TEASES T IY1 - Z IH0 Z +TEASING T IY1 - Z IH0 NG +TEASLEY T IY1 Z - L IY0 +TEASON T IY1 - S AO0 N +TEASPOON T IY1 - S P UW2 N +TEASPOONS T IY1 - S P UW2 N Z +TEASTER T IY1 - S T ER0 +TEAT T IY1 T +TEATE T IY1 - EY2 T +TEATER T IY1 - T ER0 +TEATRO T IY1 - T R OW0 +TEATS T IY1 T S +TEBBE T EH1 B +TEBBEN T EH1 - B AH0 N +TEBBETTS T EH1 - B IH0 T S +TEBBIT T EH1 - B IH0 T +TEBBS T EH1 B Z +TEBEAU T IH0 - B OW1 +TEBELSKIS T AH0 - B EH1 L - S K IY0 S +TEBO T EH1 - B OW0 +TEBUTHIURON T EH2 - B AH0 - TH Y UW1 - R AA0 N +TEC T EH1 K +TECH T EH1 K +TECH'S T EH1 K S +TECHIE T EH1 - K IY0 +TECHIES T EH1 - K IY0 Z +TECHINT T EH1 - CH IH0 N T +TECHINT(2) T EH1 - K IH2 N T +TECHNIC T EH1 K - N IH0 K +TECHNICAL T EH1 K - N IH0 - K AH0 L +TECHNICAL'S T EH1 K - N IH0 - K AH0 L Z +TECHNICALITIES T EH2 K - N IH0 - K AE1 - L AH0 - T IY0 Z +TECHNICALITY T EH2 K - N IH0 - K AE1 - L IH0 - T IY0 +TECHNICALLY T EH1 K - N IH0 - K AH0 - L IY0 +TECHNICALLY(2) T EH1 K - N IH0 K - L IY0 +TECHNICALS T EH1 K - N IH0 - K AH0 L Z +TECHNICIAN T EH0 K - N IH1 - SH AH0 N +TECHNICIAN'S T EH0 K - N IH1 - SH AH0 N Z +TECHNICIANS T EH0 K - N IH1 - SH AH0 N Z +TECHNICOLOR T EH1 K - N IH0 - K AH2 - L ER0 +TECHNICON T EH1 K - N IH0 - K AA2 N +TECHNICS T EH1 K - N IH0 K S +TECHNIQUE T EH0 K - N IY1 K +TECHNIQUES T EH0 K - N IY1 K S +TECHNITROL T EH1 K - N IH0 - T R OW2 L +TECHNO T EH1 K - N OW0 +TECHNOCRAT T EH1 K - N AH0 - K R AE2 T +TECHNOCRATIC T EH2 K - N AH0 - K R AE1 - T IH0 K +TECHNOCRATS T EH1 K - N AH0 - K R AE2 T S +TECHNODYNE T EH1 K - N OW0 - D AY2 N +TECHNOLOGIC T EH2 K - N AH0 - L AA1 - JH IH0 K +TECHNOLOGICAL T EH2 K - N AH0 - L AA1 - JH IH0 - K AH0 L +TECHNOLOGICALLY T EH2 K - N AH0 - L AA1 - JH IH0 - K AH0 - L IY0 +TECHNOLOGICALLY(2) T EH2 K - N AH0 - L AA1 - JH IH0 K - L IY0 +TECHNOLOGIES T EH0 K - N AA1 - L AH0 - JH IY0 Z +TECHNOLOGIES' T EH2 K - N AA1 - L AH0 - JH IY0 Z +TECHNOLOGIST T EH2 K - N AA1 - L AH0 - JH IH0 S T +TECHNOLOGISTS T EH2 K - N AA1 - L AH0 - JH IH0 S T S +TECHNOLOGISTS(2) T EH2 K - N AA1 - L AH0 - JH IH0 S S +TECHNOLOGISTS(3) T EH2 K - N AA1 - L AH0 - JH IH0 S +TECHNOLOGY T EH0 K - N AA1 - L AH0 - JH IY0 +TECHNOLOGY'S T EH0 K - N AA1 - L AH0 - JH IY0 Z +TECHNOMIC T EH2 K - N AA1 - M IH0 K +TECHNOPHOBE T EH1 K - N OW0 - F OW2 B +TECHNOPHOBE'S T EH1 K - N OW0 - F OW2 B Z +TECHNOPHOBES T EH1 K - N OW0 - F OW2 B Z +TECHS T EH1 K S +TECHSYSTEM T EH1 K - S IH2 - S T AH0 M +TECHSYSTEMS T EH1 K - S IH2 - S T AH0 M Z +TECHY T EH1 - CH IY0 +TECK T EH1 K +TECK'S T EH1 K S +TECLA T EH1 K - L AH0 +TECO T IY1 - K OW0 +TECOGEN T EH1 - K OW0 - G AH0 N +TECOGEN(2) T EH1 - K OW0 - JH EH0 N +TECOS T IY1 - K OW0 S +TECTONIC T EH0 K - T AA1 - N IH0 K +TECTONICS T EH0 K - T AA1 - N IH0 K S +TECUMSEH T AH0 - K AH1 M - S AH0 +TED T EH1 D +TED'S T EH1 D Z +TEDDER T EH1 - D ER0 +TEDDIE T EH1 - D IY0 +TEDDY T EH1 - D IY0 +TEDDY'S T EH1 - D IY0 Z +TEDESCHI T EH0 - D EH1 S - K IY0 +TEDESCO T EH0 - D EH1 - S K OW0 +TEDFORD T EH1 D - F ER0 D +TEDIOUS T IY1 - D IY0 - AH0 S +TEDIOUSLY T IY1 - D IY0 - AH0 S - L IY0 +TEDIUM T IY1 - D IY0 - AH0 M +TEDMAN T EH1 D - M AH0 N +TEDMOND T EH1 D - M AH0 N D +TEDMUND T EH1 D - M AH0 N D +TEDRICK T EH1 - D R IH0 K +TEDROW T EH1 - D R OW2 +TEE T IY1 +TEED T IY1 D +TEEGARDEN T IY1 - G AA2 R - D AH0 N +TEEGARDIN T IY0 - G AA1 R - D IH0 N +TEEHAN T IY1 - AH0 N +TEEING T IY1 - IH0 NG +TEEL T IY1 L +TEELE T IY1 L +TEELEY T IY1 - L IY0 +TEELING T IY1 - L IH0 NG +TEEM T IY1 M +TEEMING T IY1 - M IH0 NG +TEEMS T IY1 M Z +TEEN T IY1 N +TEENA T IY1 - N AH0 +TEENAGE T IY1 - N EY2 JH +TEENAGED T IY1 N - EY2 JH D +TEENAGER T IY1 N - EY2 - JH ER0 +TEENAGER'S T IY1 N - EY2 - JH ER0 Z +TEENAGERS T IY1 N - EY2 - JH ER0 Z +TEENIE T IY1 - N IY0 +TEENS T IY1 N Z +TEENSY T IY1 N - S IY0 +TEENY T IY1 - N IY0 +TEEPLE T IY1 - P AH0 L +TEEPLES T IY1 - P AH0 L Z +TEER T IH1 R +TEES T IY1 Z +TEET T IY1 T +TEETER T IY1 - T ER0 +TEETER'S T IY1 - T ER0 Z +TEETERED T IY1 - T ER0 D +TEETERING T IY1 - T ER0 - IH0 NG +TEETERS T IY1 - T ER0 Z +TEETH T IY1 TH +TEETHE T IY1 DH +TEETHING T IY1 - DH IH0 NG +TEETS T IY1 T S +TEFFETELLER T EH1 - F IH0 - T EH2 - L ER0 +TEFFT T EH1 F T +TEFLON T EH1 - F L AH0 N +TEFRA T EH1 - F R AH0 +TEGELER T EH1 - G AH0 - L ER0 +TEGETHOFF T EH1 - G IH0 - T AO2 F +TEGGE T EH1 G +TEGTMEIER T EH1 T - M AY0 - ER0 +TEGTMEYER T EH1 T - M AY0 - ER0 +TEGUCIGALPA T EH0 - G UW0 - S IY0 - G AE1 L - P AH0 +TEGUCIGALPA(2) T EH0 - G UW0 - CH IY0 - G AA1 L - P AH0 +TEHAN T EY1 - AH0 N +TEHERAN T EH2 - HH ER0 - AA1 N +TEHERAN'S T EH2 - HH ER0 - AA1 N Z +TEHERANI T EH2 - HH ER0 - AA1 - N IY0 +TEHERANI'S T EH2 - HH ER0 - AA1 - N IY0 Z +TEHERANIS T EH2 - HH ER0 - AA1 - N IY0 Z +TEHERANS T EH2 - HH ER0 - AA1 N Z +TEHRAN T EY2 - R AA1 N +TEHRAN'S T EY2 - R AA1 N Z +TEHRANI T EY2 - R AA1 - N IY0 +TEHRANI'S T EY2 - R AA1 - N IY0 Z +TEHRANIS T EY2 - R AA1 - N IY0 Z +TEHRANS T EY2 - R AA1 N Z +TEICH T AY1 K +TEICHER T AY1 - K ER0 +TEICHERT T AY1 - K ER0 T +TEICHMAN T AY1 K - M AH0 N +TEICHMANN T AY1 K - M AH0 N +TEICHOLZ T AY1 K - HH AO2 L T S +TEIG T IY1 G +TEIGE T AY1 JH +TEIGEN T AY1 - G AH0 N +TEIKOKU T EY2 - K OW1 - K UW2 +TEITEL T AY1 - T AH0 L +TEITELBAUM T AY1 - T AH0 L - B AW0 M +TEITELL T AY1 - T EH2 L +TEIXEIRA T AH0 K - S EH1 - R AH0 +TEJADA T EY0 - Y AA1 - D AH0 +TEJANO T EY0 - Y AA1 - N OW0 +TEJAS T IY1 - JH AH0 S +TEJEDA T EY0 - Y EY1 - D AH0 +TEJERA T EY0 - IH1 - R AH0 +TEJON T EH1 - JH AA0 N +TEK T EH1 K +TEKNOWLEDGE T EH2 K - N AA1 - L EH0 JH +TEKTRONIX T EH2 K - T R AA1 - N IH0 K S +TEL T EH1 L +TEL-AVIV T EH1 - L AA0 - V IY1 V +TELACTION T EH0 - L AE1 K - SH AH0 N +TELAMON T EH1 - L AH0 - M AH0 N +TELANDER T IY1 - L AE0 N - D ER0 +TELANDER(2) T IH0 - L AE1 N - D ER0 +TELCO T EH1 L - K OW0 +TELE T EH1 - L IY0 +TELE(2) T EH1 - L AH0 +TELECABLE T EH1 - L AH0 - K EY2 - B AH0 L +TELECARD T EH1 - L AH0 - K AA2 R D +TELECAST T EH1 - L AH0 - K AE2 S T +TELECASTS T EH1 - L AH0 - K AE2 S T S +TELECASTS(2) T EH1 - L AH0 - K AE2 S S +TELECASTS(3) T EH1 - L AH0 - K AE2 S +TELECHARGE T EH1 - L AH0 - CH AA1 R JH +TELECHECK T EH1 - L AH0 - CH EH2 K +TELECOM T EH1 - L AH0 - K AA0 M +TELECOM'S T EH1 - L AH0 - K AA0 M Z +TELECOMMUNICATION T EH2 - L AH0 - K AH0 - M Y UW2 - N IH0 - K EY1 - SH AH0 N +TELECOMMUNICATIONS T EH2 - L AH0 - K AH0 - M Y UW2 - N AH0 - K EY1 - SH AH0 N Z +TELECOMMUNICATIONS' T EH2 - L AH0 - K AH0 - M Y UW2 - N AH0 - K EY1 - SH AH0 N Z +TELECOMMUTE T EH1 - L AH0 - K AH0 - M Y UW2 T +TELECOMMUTER T EH1 - L AH0 - K AH0 - M Y UW2 - T ER0 +TELECOMMUTER'S T EH1 - L AH0 - K AH0 - M Y UW2 - T ER0 Z +TELECOMMUTERS T EH1 - L AH0 - K AH0 - M Y UW2 - T ER0 Z +TELECOMMUTING T EH0 - L AH0 - K AH0 - M Y UW1 - T IH0 NG +TELECOMS T EH1 - L AH0 - K AA0 M Z +TELECONFERENCE T EH0 - L AH0 - K AA1 N - F R AH0 N S +TELECONFERENCING T EH2 - L AH0 - K AA1 N - F R AH0 N - S IH0 NG +TELECONNECT T EH0 - L AH0 - K AH0 - N EH1 K T +TELECRAFTER T EH1 - L AH0 - K R AE2 F - T ER0 +TELECREDIT T EH1 - L AH0 - K R EH2 - D IH0 T +TELECTRON T EH1 - L AH0 K - T R AA0 N +TELECTRONIC T EH2 - L AH0 K - T R AA1 - N IH0 K +TELECTRONICS T EH2 - L AH0 K - T R AA1 - N IH0 K S +TELEDESIC T EH2 - L AH0 - D EH1 - S IH0 K +TELEDYNE T EH1 - L AH0 - D AY2 N +TELEDYNE'S T EH1 - L AH0 - D AY2 N Z +TELEFLEX T EH1 - L AH0 - F L EH2 K S +TELEFON T EH1 - L AH0 - F AA2 N +TELEFONICA T EH2 - L AH0 - F AA1 - N IH0 - K AH0 +TELEFONOS T EH2 - L EH0 - F OW1 - N OW0 S +TELEFUNKEN T EH2 - L AH0 - F AH1 NG - K AH0 N +TELEGENIC T EH2 - L AH0 - JH EH1 - N IH0 K +TELEGLOBE T EH1 - L AH0 - G L OW2 B +TELEGRAM T EH1 - L AH0 - G R AE2 M +TELEGRAMS T EH1 - L AH0 - G R AE2 M Z +TELEGRAPH T EH1 - L AH0 - G R AE2 F +TELEGRAPH'S T EH1 - L AH0 - G R AE2 F S +TELEGRAPHED T EH1 - L AH0 - G R AE2 F T +TELEKOM T EH1 - L AH0 - K AA0 M +TELEKOM'S T EH1 - L AH0 - K AA0 M Z +TELEMACHO T EH1 - L AH0 - M AA2 - CH OW0 +TELEMANAGEMENT T EH1 - L AH0 - M AE2 - N IH0 JH - M AH0 N T +TELEMARKET T EH2 - L AH0 - M AA1 R - K IH0 T +TELEMARKETER T EH2 - L AH0 - M AA1 R - K IH0 - T ER0 +TELEMARKETERS T EH2 - L AH0 - M AA1 R - K IH0 - T ER0 Z +TELEMARKETING T EH2 - L AH0 - M AA1 R - K AH0 - T IH0 NG +TELEMATIC T EH2 - L AH0 - M AE1 - T IH0 K +TELEMATICS T EH2 - L AH0 - M AE1 - T IH0 K S +TELEMECANIQUE T EH2 - L AH0 - M AH0 - K AE1 - N IH0 K +TELEMEDIA T EH2 - L AH0 - M IY1 - D IY0 - AH0 +TELEMEDICINE T EH2 - L IH0 - M EH1 - D IH0 - S AH0 N +TELEMETRY T AH0 - L EH1 - M AH0 - T R IY0 +TELEMUNDO T EH2 - L AH0 - M UW1 N - D OW0 +TELENET T EH1 - L AH0 - N EH2 T +TELEOLOGICAL T IY2 - L IY0 - AH0 - L AO1 - JH IH0 - K AH0 L +TELEPATHIC T EH2 - L AH0 - P AE1 - TH AH0 K +TELEPATHY T AH0 - L EH1 - P AH0 - TH IY0 +TELEPHONE T EH1 - L AH0 - F OW2 N +TELEPHONE'S T EH1 - L AH0 - F OW2 N Z +TELEPHONED T EH1 - L AH0 - F OW2 N D +TELEPHONES T EH1 - L AH0 - F OW2 N Z +TELEPHONIC T EH2 - L AH0 - F AA1 - N IH0 K +TELEPHONICS T EH2 - L AH0 - F AA1 - N IH0 K S +TELEPHONING T EH1 - L AH0 - F OW2 - N IH0 NG +TELEPHONIQUES T EH2 - L AH0 - F AA0 - N IY1 K S +TELEPHONY T EH1 - L AH0 - F OW2 - N IY0 +TELEPHOTO T EH1 - L AH0 - F OW2 - T OW0 +TELEPICTURE T EH1 - L AH0 - P IH1 K - CH ER0 +TELEPICTURES T EH1 - L AH0 - P IH1 K - CH ER0 Z +TELEPORT T EH1 - L AH0 - P AO1 R T +TELEPORT'S T EH1 - L AH0 - P AO1 R T S +TELEPROBE T EH1 - L AH0 - P R OW1 B +TELEPROMPTER T EH1 - L AH0 - P R AA2 M P - T ER0 +TELEQUEST T EH1 - L AH0 - K W EH1 S T +TELERATE T EH1 - L ER0 - EY1 T +TELESAT T EH1 - L AH0 - S AE0 T +TELESCIENCE T EH1 - L AH0 - S AY2 - AH0 N S +TELESCIENCES T EH1 - L AH0 - S AY2 - AH0 N - S IH0 Z +TELESCO T EH0 - L EH1 - S K OW0 +TELESCOPE T EH1 - L AH0 - S K OW2 P +TELESCOPE'S T EH1 - L AH0 - S K OW2 P S +TELESCOPES T EH1 - L AH0 - S K OW2 P S +TELESCOPIC T EH2 - L AH0 - S K AO1 - P IH0 K +TELESCRIPT T EH1 - L AH0 - S K R IH2 P T +TELESIS T EH1 - L AH0 - S IH0 S +TELESIS' T EH1 - L AH0 - S IH2 S +TELESIS'S T EH1 - L AH0 - S IH0 - S IH0 Z +TELESPHERE T EH1 - L AH0 - S F IH2 R +TELESTRATOR T EH1 - L AH0 - S T R EY2 - T ER0 +TELESYSTEM T EH1 - L AH0 - S IH2 - S T AH0 M +TELETEXT T EH1 - L AH0 - T EH1 K S T +TELETHON T EH1 - L AH0 - TH AA0 N +TELETRON T EH1 - L AH0 - T R AA2 N +TELETTRA T EH1 - L EH0 - T R AH0 +TELETYPE T EH1 - L AH0 - T AY2 P +TELETYPES T EH1 - L AH0 - T AY2 P S +TELEVANGELIST T EH2 - L AH0 - V AE1 N - JH AH0 - L AH0 S T +TELEVANGELISTS T EH2 - L AH0 - V AE1 N - JH AH0 - L AH0 S T S +TELEVANGELISTS(2) T EH2 - L AH0 - V AE1 N - JH AH0 - L AH0 S S +TELEVANGELISTS(3) T EH2 - L AH0 - V AE1 N - JH AH0 - L AH0 S +TELEVIDEO T EH2 - L AH0 - V IH1 - D IY0 - OW0 +TELEVISA T EH1 - L AH0 - V IY1 - Z AH0 +TELEVISA'S T EH2 - L AH0 - V IY1 - Z AH0 Z +TELEVISE T EH1 - L AH0 - V AY2 Z +TELEVISED T EH1 - L AH0 - V AY2 Z D +TELEVISING T EH1 - L AH0 - V AY2 - Z IH0 NG +TELEVISION T EH1 - L AH0 - V IH2 - ZH AH0 N +TELEVISION'S T EH1 - L AH0 - V IH2 - ZH AH0 N Z +TELEVISIONS T EH1 - L AH0 - V IH2 - ZH AH0 N Z +TELEVISON T EH1 - L IH0 - V IH0 - ZH AH0 N +TELEWEST T EH1 - L AH0 - W EH1 S T +TELEX T EH1 - L EH2 K S +TELEX'S T EH1 - L EH2 K - S IH0 Z +TELEXED T EH1 - L EH2 S K T +TELEXES T EH1 - L EH2 K - S IH0 S +TELFAIR T EH1 L - F AY0 R +TELFER T EH1 L - F ER0 +TELFOR T EH1 L - F ER0 +TELFORD T EH1 L - F ER0 D +TELFOUR T EH1 L - F ER0 +TELIT T EH1 - L IH2 T +TELL T EH1 L +TELLABS T EH1 - L AE2 B Z +TELLEFSEN T EH1 - L IH0 F - S AH0 N +TELLEP T EH1 - L AH0 P +TELLER T EH1 - L ER0 +TELLER'S T EH1 - L ER0 Z +TELLERS T EH1 - L ER0 Z +TELLES T EH1 L Z +TELLEZ T EY0 - L EH1 Z +TELLIER T EH1 - L IY0 - ER0 +TELLIN' T EH1 - L IH0 N +TELLING T EH1 - L IH0 NG +TELLINGLY T EH1 - L IH0 NG - L IY0 +TELLIS T EH1 - L IH0 S +TELLO T EH1 - L OW0 +TELLS T EH1 L Z +TELLTALE T EH1 L - T EY2 L +TELLTALES T EH1 L - T EY2 L Z +TELLURIDE T EH1 - L Y ER0 - AY2 D +TELLURIDES T EH1 L - Y ER0 - AY2 D Z +TELLURIUM T EH0 - L UH1 - R IY0 - AH0 M +TELLY T EH1 - L IY0 +TELMEX T EH1 L - M EH2 K S +TELMEX'S T EH1 L - M EH2 K - S IH0 Z +TELOS T EH1 - L OW0 S +TELSOURCE T EH1 L - S AO2 R S +TELSTAR T EH1 L - S T AA2 R +TELSTRA T EH1 L - S T R AH0 +TELTSCHIK T EH1 L - CH IH0 K +TELUGU T EH1 - L UH0 - G UW0 +TELXON T EH1 L - Z AA0 N +TELXON'S T EH1 L - Z AH0 N Z +TELZROW T EH1 L - Z R OW0 +TEMBLOR T EH1 M - B L ER0 +TEMBLORS T EH1 M - B L ER0 Z +TEMCO T EH1 M - K OW0 +TEMECULA T AH0 - M EH1 - K Y AH0 - L AH0 +TEMERITY T AH0 - M EH1 - R AH0 - T IY0 +TEMERLIN T EH1 - M ER0 - L IH0 N +TEMKIN T EH1 M - K IH0 N +TEMME T EH1 M +TEMP T EH1 M P +TEMPE T EH1 M - P IY0 +TEMPEL T EH1 M - P AH0 L +TEMPELSMAN T EH1 M - P AH0 L Z - M AH0 N +TEMPER T EH1 M - P ER0 +TEMPERA T EH1 M - P ER0 - AH0 +TEMPERAMENT T EH1 M - P R AH0 - M AH0 N T +TEMPERAMENT(2) T EH1 M - P ER0 - M AH0 N T +TEMPERAMENTAL T EH2 M - P R AH0 - M EH1 N - T AH0 L +TEMPERAMENTAL(2) T EH2 M - P ER0 - M EH1 N - T AH0 L +TEMPERAMENTALLY T EH2 M - P R AH0 - M EH1 N - T AH0 - L IY0 +TEMPERAMENTALLY(2) T EH2 M - P ER0 - M EH1 N - T AH0 - L IY0 +TEMPERAMENTALLY(3) T EH2 M - P R AH0 - M EH1 - N AH0 - L IY0 +TEMPERAMENTALLY(4) T EH2 M - P ER0 - M EH1 - N AH0 - L IY0 +TEMPERAMENTS T EH1 M - P R AH0 - M AH0 N T S +TEMPERAMENTS(2) T EH1 M - P ER0 - M AH0 N T S +TEMPERANCE T EH1 M - P ER0 - AH0 N S +TEMPERANCE(2) T EH1 M - P R AH0 N S +TEMPERATE T EH1 M - P R AH0 T +TEMPERATE(2) T EH1 M - P ER0 - AH0 T +TEMPERATURE T EH1 M - P R AH0 - CH ER0 +TEMPERATURE(2) T EH1 M - P ER0 - AH0 - CH ER0 +TEMPERATURES T EH1 M - P R AH0 - CH ER0 Z +TEMPERATURES(2) T EH1 M - P ER0 - AH0 - CH ER0 Z +TEMPERED T EH1 M - P ER0 D +TEMPERING T EH1 M - P ER0 - IH0 NG +TEMPERS T EH1 M - P ER0 Z +TEMPEST T EH1 M - P AH0 S T +TEMPESTA T EH2 M - P EH1 - S T AH0 +TEMPESTUOUS T EH2 M - P EH1 S - CH UW0 - AH0 S +TEMPLAR T EH1 M - P L ER0 +TEMPLARS T EH1 M - P L ER0 Z +TEMPLATE T EH1 M - P L AH0 T +TEMPLATE(2) T EH1 M - P L EY0 T +TEMPLE T EH1 M - P AH0 L +TEMPLE'S T EH1 M - P AH0 L Z +TEMPLEMAN T EH1 M - P AH0 L - M AH0 N +TEMPLER T EH1 M - P AH0 - L ER0 +TEMPLER(2) T EH1 M - P L ER0 +TEMPLES T EH1 M - P AH0 L Z +TEMPLET T EH1 M - P L IH0 T +TEMPLETON T EH1 M - P AH0 L - T AH0 N +TEMPLETON'S T EH1 M - P AH0 L - T AH0 N Z +TEMPLIN T EH1 M - P L IH0 N +TEMPO T EH1 M - P OW2 +TEMPORAL T EH1 M - P ER0 - AH0 L +TEMPORALLY T EH1 M - P ER0 - AH0 - L IY0 +TEMPORARIES T EH1 M - P ER0 - EH2 - R IY0 Z +TEMPORARILY T EH2 M - P ER0 - EH1 - R AH0 - L IY0 +TEMPORARY T EH1 M - P ER0 - EH2 - R IY0 +TEMPORE T EH1 M - P AO0 R +TEMPORE(2) T EH2 M - P AO1 - R IY0 +TEMPORIZE T EH1 M - P ER0 - AY2 Z +TEMPORIZING T EH1 M - P ER0 - AY2 - Z IH0 NG +TEMPOS T EH1 M - P OW2 Z +TEMPS T EH1 M P S +TEMPT T EH1 M P T +TEMPTATION T EH0 M - T EY1 - SH AH0 N +TEMPTATIONS T EH0 M - T EY1 - SH AH0 N Z +TEMPTED T EH1 M P - T AH0 D +TEMPTED(2) T EH1 M P - T IH0 D +TEMPTING T EH1 M P - T IH0 NG +TEMPTRESS T EH1 M P - T R IH0 S +TEMPTS T EH1 M P T S +TEN T EH1 N +TEN'S T EH1 N Z +TENA T EH1 - N AH0 +TENABLE T EH1 - N AH0 - B AH0 L +TENACIOUS T AH0 - N EY1 - SH AH0 S +TENACIOUSLY T AH0 - N EY1 - SH AH0 S - L IY0 +TENACITY T AH0 - N AE1 - S IH0 - T IY0 +TENAGLIA T EH0 - N AA1 - G L IY0 - AH0 +TENANCY T EH1 - N AH0 N - S IY0 +TENANT T EH1 - N AH0 N T +TENANT'S T EH1 - N AH0 N T S +TENANTS T EH1 - N AH0 N T S +TENANTS' T EH1 - N AH0 N T S +TENBRINK T EH1 N - B R IH2 NG K +TENCH T EH1 N CH +TENCZA T EH1 N - CH AH0 +TEND T EH1 N D +TENDED T EH1 N - D AH0 D +TENDED(2) T EH1 N - D IH0 D +TENDENCIES T EH1 N - D AH0 N - S IY0 Z +TENDENCY T EH1 N - D AH0 N - S IY0 +TENDENTIOUS T EH2 N - D EH1 N - SH AH0 S +TENDER T EH1 N - D ER0 +TENDERED T EH1 N - D ER0 D +TENDERING T EH1 N - D ER0 - IH0 NG +TENDERLOIN T EH1 N - D ER0 - L OY2 N +TENDERLY T EH1 N - D ER0 - L IY0 +TENDERNESS T EH1 N - D ER0 - N AH0 S +TENDERS T EH1 N - D ER0 Z +TENDING T EH1 N - D IH0 NG +TENDLER T EH1 N D - L ER0 +TENDON T EH1 N - D AH0 N +TENDONS T EH1 N - D AH0 N Z +TENDS T EH1 N D Z +TENEMENT T EH1 - N AH0 - M AH0 N T +TENEMENTS T EH1 - N AH0 - M AH0 N T S +TENENBAUM T EH1 - N AH0 N - B AW2 M +TENER T EH1 - N ER0 +TENERA T EH2 - N EH1 - R AH0 +TENET T EH1 - N AH0 T +TENETS T EH1 - N AH0 T S +TENEYCK T EH1 - N IY0 K +TENFOLD T EH1 N - F OW2 L D +TENG T EH1 NG +TENG-WEN T EH1 NG - W EH1 N +TENGELMANN T EH1 NG - G AH0 L - M AH0 N +TENGIZ T EH1 NG - G IH0 Z +TENGLEMANN T EH1 NG - G AH0 L - M AH0 N +TENN T EH2 - N AH0 - S IY1 +TENN(2) T EH1 N +TENNANT T EH1 - N AH0 N T +TENNCARE T EH1 N - K EH2 R +TENNCARE'S T EH1 N - K EH2 R Z +TENNECO T EH1 - N AH0 - K OW0 +TENNECO'S T EH1 - N AH0 - K OW0 Z +TENNELL T EH1 - N AH0 L +TENNENBAUM T EH1 - N AH0 N - B AW2 M +TENNENT T EH1 - N AH0 N T +TENNER T EH1 - N ER0 +TENNESSEAN T EH2 - N IH0 - S IY1 - AH0 N +TENNESSEANS T EH2 - N IH0 - S IY1 - AH0 N Z +TENNESSEE T EH2 - N AH0 - S IY1 +TENNESSEE'S T EH2 - N AH0 - S IY1 Z +TENNEY T EH1 - N IY0 +TENNIS T EH1 - N AH0 S +TENNIS'S T EH1 - N AH0 - S IH0 Z +TENNIS(2) T EH1 - N IH0 S +TENNISON T EH1 - N IH0 - S AH0 N +TENNY T EH1 - N IY0 +TENNYSON T EH1 - N IH0 - S AH0 N +TENOR T EH1 - N ER0 +TENORE T EH1 - N AO2 R +TENORIO T EH0 - N AO1 - R IY0 - OW0 +TENORS T EH1 - N ER0 Z +TENPAS T EH1 N - P AH0 Z +TENPENNY T EH1 N - P EH2 - N IY0 +TENRECS T EH1 N - R EH2 K S +TENS T EH1 N Z +TENSE T EH1 N S +TENSELY T EH1 N S - L IY0 +TENSILE T EH1 N - S AH0 L +TENSIOMETER T EH2 N - S IY0 - AA1 - M IH0 - T ER0 +TENSION T EH1 N - SH AH0 N +TENSIONS T EH1 N - CH AH0 N Z +TENT T EH1 N T +TENTACLE T EH1 N - T AH0 - K AH0 L +TENTACLES T EH1 N - T AH0 - K AH0 L Z +TENTATIVE T EH1 N - T AH0 - T IH0 V +TENTATIVE(2) T EH1 - N AH0 - T IH0 V +TENTATIVELY T EH1 N - T AH0 - T IH0 V - L IY0 +TENTATIVELY(2) T EH1 N - T AH0 V - L IY0 +TENTH T EH1 N TH +TENTHS T EH1 N TH S +TENTING T EH1 N - T IH0 NG +TENTS T EH1 N T S +TENUOUS T EH1 - N Y AH0 W - AH0 S +TENURE T EH1 - N Y ER0 +TENURED T EH1 - N Y ER0 D +TENURES T EH1 - N Y ER0 Z +TENUTA T EH0 - N UW1 - T AH0 +TENZER T EH1 N - Z ER0 +TEO T EY1 - OW0 +TEODORO T IY2 - OW0 - D AO1 - R OW0 +TEPE T IY1 P +TEPER T IY1 - P ER0 +TEPID T EH1 - P IH0 D +TEPLY T EH1 P - L IY0 +TEPOZTLAN T IH0 - P AO1 S T - L AH0 N +TEPPER T EH1 - P ER0 +TEPPERMAN T EH1 - P ER0 - M AH0 N +TEQUILA T AH0 - K IY1 - L AH0 +TEQUILIU T AH0 - K IY1 - L Y UW0 +TER T ER1 +TERADA T ER0 - AA1 - D AH0 +TERADATA T EH2 - R AH0 - D AA1 - T AH0 +TERADYNE T EH1 - R AH0 - D AY2 N +TERADYNE'S T EH1 - R AH0 - D AY2 N Z +TERAN T EH1 - R AH0 N +TERASAWA T EH2 - R AH0 - S AA1 - W AH0 +TERBUSH T ER1 - B AH0 SH +TERBUSH(2) T ER1 - B UH0 SH +TERCEL T ER1 - S AH0 L +TERCERO T ER0 - CH EH1 - R OW0 +TERENCE T EH1 - R AH0 N S +TERENCE'S T EH1 - R AH0 N - S IH0 Z +TERENTIA T ER0 - EH1 N - SH AH0 +TERESA T ER0 - IY1 - S AH0 +TERESA'S T ER0 - IY1 - S AH0 Z +TERESA'S(2) T ER0 - EY1 - S AH0 Z +TERESA(2) T ER0 - EY1 - S AH0 +TERESE T EH1 - R IY0 Z +TERESI T ER0 - EH1 - S IY0 +TERESITA T ER0 - EH0 - S IY1 - T AH0 +TERESSA T ER0 - EH1 - S AH0 +TEREX T EH1 - R AH0 K S +TEREZA T ER0 - EY1 - Z AH0 +TEREZA'S T ER0 - EY1 - Z AH0 Z +TERHAAR T ER1 - HH AA0 R +TERHORST T ER1 - HH AO0 R S T +TERHUNE T ER0 - HH Y UW1 N +TERI T EH1 - R IY0 +TERIYAKI T EH2 - R IH0 - Y AA1 - K IY0 +TERKEL T ER1 - K AH0 L +TERKHORN T ER1 - K AO2 R N +TERLECKI T ER0 - L EH1 T S - K IY0 +TERLIZZI T ER0 - L IY1 T - S IY0 +TERM T ER1 M +TERM'S T ER1 M Z +TERMAN T ER1 - M AH0 N +TERMED T ER1 M D +TERMEER T ER0 - M IH1 R +TERMER T ER1 - M ER0 +TERMERS T ER1 - M ER0 Z +TERMINAL T ER1 - M AH0 - N AH0 L +TERMINALLY T ER1 - M AH0 - N AH0 - L IY0 +TERMINALS T ER1 - M AH0 - N AH0 L Z +TERMINATE T ER1 - M AH0 - N EY2 T +TERMINATED T ER1 - M AH0 - N EY2 - T AH0 D +TERMINATED(2) T ER1 - M AH0 - N EY2 - T IH0 D +TERMINATES T ER1 - M IH0 - N EY2 T S +TERMINATING T ER1 - M AH0 - N EY2 - T IH0 NG +TERMINATION T ER0 - M AH0 - N EY1 - SH AH0 N +TERMINATIONS T ER2 - M AH0 - N EY1 - SH AH0 N Z +TERMINATOR T ER1 - M AH0 - N EY2 - T ER0 +TERMINE T ER1 - M IH0 N +TERMING T ER1 - M IH0 NG +TERMINI T ER1 - M IH0 - N AY2 +TERMINOLOGY T ER2 - M IH0 - N AA1 - L AH0 - JH IY0 +TERMITE T ER1 - M AY0 T +TERMITES T ER1 - M AY0 T S +TERMS T ER1 M Z +TERNES T ER1 N Z +TERNS T ER1 N Z +TERPENING T ER1 - P AH0 - N IH0 NG +TERPSTRA T EH1 R P - S T R AH0 +TERRA T EH1 - R AH0 +TERRA'S T EH1 - R AH0 Z +TERRACCIANO T ER0 - AA0 - CH IY0 - AA1 - N OW0 +TERRACE T EH1 - R AH0 S +TERRACED T EH1 - R AH0 S T +TERRACES T EH1 - R AH0 - S AH0 Z +TERRACES(2) T EH1 - R AH0 - S IH0 Z +TERRAIN T ER0 - EY1 N +TERRAINS T ER0 - EY1 N Z +TERRAL T EH1 - R AH0 L +TERRANA T ER0 - AE1 - N AH0 +TERRANCE T EH1 - R AH0 N S +TERRANO T ER0 - AA1 - N OW0 +TERRANOVA T ER0 - AA0 - N OW1 - V AH0 +TERRASI T ER0 - AA1 - S IY0 +TERRAZAS T EH0 - R AA1 - Z AA0 Z +TERRE T EH1 - R AH0 +TERRE(2) T EH1 R +TERRE-HAUTE T EH1 - R AH0 - HH OW1 T +TERRE-HAUTE(2) T EH1 - R AH0 - HH AH1 T +TERREBONNE T ER0 - EH0 - B OW1 - N IY0 +TERREBONNE(2) T ER0 - AH0 - B AH1 N +TERREL T EH1 - R AH0 L +TERRELL T EH1 - R AH0 L +TERRENCE T EH1 - R AH0 N S +TERRESTRIAL T ER0 - EH1 S - T R IY0 - AH0 L +TERRI T EH1 - R IY0 +TERRIBLE T EH1 - R AH0 - B AH0 L +TERRIBLY T EH1 - R AH0 - B L IY0 +TERRIE T EH1 - R IY0 +TERRIEN T EH1 - R IY0 - AH0 N +TERRIER T EH1 - R IY0 - ER0 +TERRIERS T EH1 - R IY0 - ER0 Z +TERRIFIC T ER0 - IH1 - F IH0 K +TERRIFICALLY T ER0 - IH1 - F IH0 K - L IY0 +TERRIFIED T EH1 - R AH0 - F AY2 D +TERRIFIES T EH1 - R AH0 - F AY2 Z +TERRIFY T EH1 - R AH0 - F AY2 +TERRIFYING T EH1 - R AH0 - F AY2 - IH0 NG +TERRILE T EH2 - R IY1 L +TERRILL T EH1 - R AH0 L +TERRINGTON T EH1 - R IH0 NG - T AH0 N +TERRIO T EH1 - R IY0 - OW0 +TERRIS T EH1 - R IH0 S +TERRITO T ER0 - IY1 - T OW0 +TERRITORIAL T EH2 - R IH0 - T AO1 - R IY0 - AH0 L +TERRITORIALISM T EH2 - R AH0 - T AO1 - R IY0 - AH0 - L IH2 - Z AH0 M +TERRITORIALLY T EH2 - R IH0 - T AO1 - R IY0 - AH0 - L IY0 +TERRITORIES T EH1 - R AH0 - T AO2 - R IY0 Z +TERRITORY T EH1 - R IH0 - T AO2 - R IY0 +TERRITORY'S T EH1 - R IH0 - T AO2 - R IY0 Z +TERRIZZI T EH2 - R IH1 T - S IY0 +TERRONES T EH1 - R AH0 N Z +TERROR T EH1 - R ER0 +TERRORISM T EH1 - R ER0 - IH2 - Z AH0 M +TERRORIST T EH1 - R ER0 - IH0 S T +TERRORISTIC T EH2 - R ER0 - IH1 - S T IH0 K +TERRORISTS T EH1 - R ER0 - AH0 S T S +TERRORISTS' T EH1 - R ER0 - IH0 S T S +TERRORISTS'(2) T EH1 - R ER0 - IH0 S S +TERRORISTS'(3) T EH1 - R ER0 - IH0 S +TERRORISTS(2) T EH1 - R ER0 - IH0 S T S +TERRORISTS(3) T EH1 - R ER0 - IH0 S S +TERRORISTS(4) T EH1 - R ER0 - IH0 S +TERRORIZE T EH1 - R ER0 - AY2 Z +TERRORIZED T EH1 - R ER0 - AY2 Z D +TERRORIZES T EH1 - R ER0 - AY2 - Z IH0 Z +TERRORIZING T EH1 - R ER0 - AY2 - Z IH0 NG +TERRORS T EH1 - R ER0 Z +TERRY T EH1 - R IY0 +TERRY'S T EH1 - R IY0 Z +TERSE T ER1 S +TERSELY T ER1 S - L IY0 +TERTIA T EH1 R - SH AH0 +TERTIARY T ER1 - SH ER0 - IY0 +TERTIARY(2) T ER1 - SH IY0 - EH2 - R IY0 +TERTIUS T ER1 - T IY0 - IH0 S +TERTIUS(2) T ER1 - SH Y IH0 S +TERUKO T EH1 - R UW0 - K OW0 +TERUYA T EH0 - R UW1 - Y AH0 +TERVO T EH1 R - V OW0 +TERWILLIGER T ER1 - W IH0 - L IH0 - G ER0 +TERZIAN T ER1 - Z IY0 - AH0 N +TESAR T IH0 - S AA1 R +TESCH T EH1 SH +TESCHNER T EH1 SH - N ER0 +TESCO T EH1 - S K OW0 +TESE T IY1 S +TESH T EH1 SH +TESKA T EH1 - S K AH0 +TESKE T EH1 S K +TESLA T EH1 S - L AH0 +TESLA(2) T EH1 Z - L AH0 +TESLER T EH1 - S AH0 - L ER0 +TESLER(2) T EH1 S - L ER0 +TESLIK T EH1 S - L IH0 K +TESMER T EH1 - S AH0 - M ER0 +TESOBONO T EH2 - S AH0 - B OW1 - N OW0 +TESOBONOS T EH2 - S AH0 - B OW1 - N OW0 S +TESOBONOS(2) T EH2 - S AH0 - B OW1 - N OW0 Z +TESORIERO T EH0 - S AO0 - R IH1 - R OW0 +TESORO T EH0 - S AO1 - R OW0 +TESORO'S T EH0 - S AO1 - R OW0 Z +TESS T EH1 S +TESSA T EH1 - S AH0 +TESSELATE T EH1 - S AH0 - L EY2 T +TESSELATED T EH1 - S AH0 - L EY2 - T IH0 D +TESSIE T EH1 - S IY0 +TESSIER T EH1 - S IY0 - ER0 +TESSITORE T EH0 - S IY0 - T AO1 - R IY0 +TESSLER T EH1 S - L ER0 +TESSMAN T EH1 S - M AH0 N +TESSMER T EH1 S - M ER0 +TESSY T EH1 - S IY0 +TEST T EH1 S T +TEST'S T EH1 S T S +TESTA T EH1 - S T AH0 +TESTAMENT T EH1 - S T AH0 - M AH0 N T +TESTAMENTARY T EH2 - S T AH0 - M EH1 N - T ER0 - IY0 +TESTED T EH1 - S T AH0 D +TESTED(2) T EH1 - S T IH0 D +TESTER T EH1 - S T ER0 +TESTERMAN T EH1 - S T ER0 - M AH0 N +TESTERS T EH1 - S T ER0 Z +TESTERS(2) T EH1 - S T AH0 Z +TESTES T EH1 - S T IY2 Z +TESTES(2) T EH1 S T S +TESTICLE T EH1 - S T IH0 - K AH0 L +TESTICLES T EH1 - S T IH0 - K AH0 L Z +TESTICULAR T EH2 - S T IH1 - K Y AH0 - L ER0 +TESTIFIED T EH1 - S T AH0 - F AY2 D +TESTIFIES T EH1 - S T AH0 - F AY2 Z +TESTIFY T EH1 - S T AH0 - F AY2 +TESTIFYING T EH1 - S T AH0 - F AY2 - IH0 NG +TESTILY T EH1 - S T AH0 - L IY0 +TESTIMONIAL T EH2 - S T AH0 - M OW1 - N IY0 - AH0 L +TESTIMONIALS T EH2 - S T AH0 - M OW1 - N IY0 - AH0 L Z +TESTIMONIES T EH1 - S T AH0 - M OW2 - N IY0 Z +TESTIMONY T EH1 - S T AH0 - M OW2 - N IY0 +TESTING T EH1 - S T IH0 NG +TESTON T EH1 - S T AH0 N +TESTOR T EH1 - S T ER0 +TESTOSTERONE T EH2 - S T AA1 - S T ER0 - OW2 N +TESTRAKE T EH1 - S T R EY2 K +TESTS T EH1 S T S +TESTS' T EH1 S T S +TESTURO T EH2 - S T UH1 - R OW0 +TESTY T EH1 - S T IY0 +TET T EH1 T +TETA T EH1 - T AH0 +TETANUS T EH1 - T AH0 - N AH0 S +TETE T EH1 T +TETER T IY1 - 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S AH0 L +THISTLES TH IH1 - S AH0 L Z +THIVIERGE TH IH0 - V IY1 R JH +THO DH OW1 +THOBE TH OW1 B +THODE TH OW1 D +THOELE TH OW1 L +THOEN TH OW1 N +THOENE TH AA1 - IY0 N +THOENNES TH OW1 N Z +THOLE TH OW1 L +THOLEN TH AA1 - L AH0 N +THOLL TH AA1 L +THOM T AA1 M +THOMA TH OW1 - M AH0 +THOMA(2) T OW1 - M AH0 +THOMAN TH OW1 - M AH0 N +THOMANN DH OW1 - M AH0 N +THOMAS T AA1 - M AH0 S +THOMAS' T AA1 - M AH0 - S IH0 Z +THOMAS'(2) T AA1 - M AH0 S +THOMAS'S T AA1 - M AH0 - S IH0 Z +THOMASAS T AA1 - M AH0 - S AH0 S +THOMASES T AA1 - M AH0 - S IH0 Z +THOMASINA TH OW0 - M AA0 - S IY1 - N AH0 +THOMASINA(2) T AA0 - M AA0 - S IY1 - N AH0 +THOMASINE TH OW0 - M AA0 - S IY1 - N IY0 +THOMASINE(2) T AA0 - M AA0 - S IY1 - N IY0 +THOMASINE(3) T AA0 - M AA0 - S IY1 N +THOMASON TH AA1 - M AH0 - S AH0 N +THOMASON(2) T AA1 - M AH0 - S AH0 N +THOMASSEN TH AA1 - M AH0 - S AH0 N +THOMASSEN(2) T AA1 - M AH0 - S AH0 N +THOMASSON TH AA1 - M AH0 - S AH0 N +THOMASSON(2) T AA1 - M AH0 - S AH0 N +THOMASVILLE T AA1 - M AH0 S - V IH2 L +THOME TH OW1 M +THOMES TH OW1 M Z +THOMETZ TH OW1 - M EH0 T S +THOMISON TH AA1 - M IH0 - S AH0 N +THOMLEY TH AA1 M - L IY0 +THOMMEN TH AA1 - M AH0 N +THOMP TH AA1 M P +THOMPKINS T AA1 M P - K IH0 N Z +THOMPKINS(2) T AA1 M - K IH0 N Z +THOMPSEN T AA1 M P - S AH0 N +THOMPSEN(2) T AA1 M - S AH0 N +THOMPSON T AA1 M P - S AH0 N +THOMPSON'S T AA1 M P - S AH0 N Z +THOMPSON'S(2) T AA1 M - S AH0 N Z +THOMPSON(2) T AA1 M - S AH0 N +THOMPSONS T AA1 M P - S AH0 N Z +THOMPSONS(2) T AA1 M - S AH0 N Z +THOMS TH AA1 M Z +THOMSEN TH AA1 M - S AH0 N +THOMSON T AA1 M - S AH0 N +THOMSON'S T AA1 M - S AH0 N Z +THOMSPON TH AA1 M - S P AH0 N +THOMURE TH AA1 - M Y UW0 R +THON TH AA1 N +THONE TH OW1 N +THONG TH AO1 NG +THOR TH AO1 R +THORA TH AO1 - R AH0 +THORACIC TH AO0 - R AE1 - S IH0 K +THORALD TH AO1 - R AH0 L D +THORAX TH AO1 - R AE0 K S +THORBERT TH AO1 R - B ER0 T +THORBERTA TH AO0 R - B EH1 R - T AH0 +THORBURN TH AO1 R - B ER0 N +THORDIA TH AO1 R - D IY0 - AH0 +THORDIS TH AO1 R - D IH0 S +THOREAU TH ER0 - OW1 +THORELL TH AO1 - R AH0 L +THOREN TH AO1 - R AH0 N +THORESEN TH AO1 - R IY0 - Z AH0 N +THORESON TH AO1 - R IH0 - S AH0 N +THORINGTON TH AO1 - R IH0 NG - T AH0 N +THORIUM TH AA1 - R IY0 - AH0 M +THORLEY TH AO1 R - L IY0 +THORMAN TH AO1 R - M AH0 N +THORMOND TH AO1 R - M AH0 N D +THORMUND TH AO1 R - M AH0 N D +THORN TH AO1 R N +THORN'S TH AO1 R N Z +THORNBERG TH AO1 R N - B ER0 G +THORNBERRY TH AO1 R N - B EH2 - R IY0 +THORNBURG TH AO1 R N - B ER0 G +THORNBURGH TH AO1 R N - B ER0 G +THORNBURGH'S TH AO1 R N - B ER0 G Z +THORNBURY TH AO1 R N - B EH2 - R IY0 +THORNDIKE TH AO1 R N - D IH0 K +THORNDYKE TH AO1 R N - D AY2 K +THORNE TH AO1 R N +THORNELL TH AO1 R - N AH0 L +THORNER TH AO1 R - N ER0 +THORNHILL TH AO1 R N - HH IH2 L +THORNIEST TH AO1 R - N IY0 - AH0 S T +THORNLEY TH AO1 R N - L IY0 +THORNOCK TH AO1 R - N AH0 K +THORNS TH AO1 R N Z +THORNSBERRY TH AO1 R N Z - B EH0 - R IY0 +THORNSBURY TH AO1 R N Z - B EH0 - R IY0 +THORNTON TH AO1 R N - T AH0 N +THORNY TH AO1 R - N IY0 +THOROUGH TH ER1 - 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Z AH0 N TH +THOUSANDTHS TH AW1 - Z AH0 N D TH S +THOUSANDTHS(2) TH AW1 - Z AH0 N TH S +THRACO-ILLYRIAN TH R EY2 - K OW2 - IH0 - L IH1 - R IY0 - AH0 N +THRAILKILL TH R EY1 L - K IH2 L +THRALL TH R AO1 L +THRASH TH R AE1 SH +THRASHED TH R AE1 SH T +THRASHER TH R AE1 - SH ER0 +THRASHES TH R AE1 - SH IH0 Z +THRASHING TH R AE1 - SH IH0 NG +THREAD TH R EH1 D +THREADBARE TH R EH1 D - B EH2 R +THREADED TH R EH1 - D AH0 D +THREADED(2) TH R EH1 - D IH0 D +THREADFIN TH R EH1 D - F IH0 N +THREADGILL TH R EH1 D - G IH2 L +THREADING TH R EH1 - D IH0 NG +THREADS TH R EH1 D Z +THREAT TH R EH1 T +THREATEN TH R EH1 - T AH0 N +THREATENED TH R EH1 - T AH0 N D +THREATENING TH R EH1 - T AH0 N - IH0 NG +THREATENING(2) TH R EH1 T - N IH0 NG +THREATENINGLY TH R EH1 - T AH0 N - IH0 NG - L IY0 +THREATENINGLY(2) TH R EH1 T - N IH0 NG - L IY0 +THREATENS TH R EH1 - T AH0 N Z +THREATS TH R EH1 T S +THREATT TH R IY1 T +THREE TH R IY1 +THREE'S TH R IY1 Z +THREEFOLD TH R IY1 - F OW2 L D +THREEMONTH TH R IY1 - M AH0 N TH +THREES TH R IY1 Z +THREESOME TH R IY1 - S AH0 M +THREET TH R IY1 T +THRELKELD TH R EH1 L - K EH2 L D +THRESH TH R EH1 SH +THRESHER TH R EH1 - SH ER0 +THRESHOLD TH R EH1 SH - OW2 L D +THRESHOLDS TH R EH1 SH - HH OW2 L D Z +THREW TH R UW1 +THRICE TH R AY1 S +THRIFT TH R IH1 F T +THRIFT'S TH R IH1 F T S +THRIFTIER TH R IH1 F - T IY0 - ER0 +THRIFTS TH R IH1 F T S +THRIFTS' TH R IH1 F T S +THRIFTS'(2) TH R IH1 F S +THRIFTS(2) TH R IH1 F S +THRIFTY TH R IH1 F - T IY0 +THRILL TH R IH1 L +THRILLED TH R IH1 L D +THRILLER TH R IH1 - L ER0 +THRILLERS TH R IH1 - L ER0 Z +THRILLING TH R IH1 - L IH0 NG +THRILLS TH R IH1 L Z +THRIPS TH R IH1 P S +THRISTING TH R IH1 - S T IH0 NG +THRIVE TH R AY1 V +THRIVED TH R AY1 V D +THRIVES TH R AY1 V Z +THRIVING TH R AY1 - V IH0 NG +THROAT TH R OW1 T +THROATED TH R OW1 - T IH0 D +THROATS TH R OW1 T S +THROB TH R AA1 B +THROBBING TH R AA1 - B IH0 NG +THROES TH R OW1 Z +THROGMORTON TH R AH0 G - M AO1 R - T AH0 N +THROM TH R AA1 M +THROMBOLYSIS TH R AA0 M - B OW1 - L IH0 - S IH0 S +THROMBOLYSIS(2) TH R AA0 M - B AA1 - L IH0 - S IH0 S +THROMBOLYTIC TH R AA2 M - B OW0 - L IH1 - T IH0 K +THROMBOSIS TH R AA0 M - B OW1 - S AH0 S +THRONE TH R OW1 N +THRONEBERRY TH R OW1 N - B EH2 - R IY0 +THRONG TH R AO1 NG +THRONGED TH R AO1 NG D +THRONGS TH R AO1 NG Z +THRONSON TH R AA1 N - S AH0 N +THROOP TH R UW1 P +THROTTLE TH R AA1 - T AH0 L +THROTTLED TH R AA1 - T AH0 L D +THROTTLES TH R AA1 - T AH0 L Z +THROTTLING TH R AA1 - T AH0 L - IH0 NG +THROTTLING(2) TH R AA1 T - L IH0 NG +THROUGH TH R UW1 +THROUGHOUT TH R UW0 - AW1 T +THROUGHPUT TH R UW1 - P UH2 T +THROUGHS TH R UW1 Z +THROUGHWAY TH R UW1 - W EY2 +THROVE TH R OW1 V +THROW TH R OW1 +THROWAWAY TH R OW1 - AH0 - W EY2 +THROWBACK TH R OW1 - B AE2 K +THROWER TH R OW1 - ER0 +THROWERS TH R OW1 - ER0 Z +THROWING TH R OW1 - IH0 NG +THROWN TH R OW1 N +THROWS TH R OW1 Z +THRU TH R UW1 +THRUN TH R AH1 N +THRUSH TH R AH1 SH +THRUSHES TH R AH1 - SH AH0 Z +THRUSHES(2) TH R AH1 - SH IH0 Z +THRUST TH R AH1 S T +THRUSTER TH R AH1 - S T ER0 +THRUSTERS TH R AH1 - S T ER0 Z +THRUSTING TH R AH1 - S T IH0 NG +THRUSTS TH R AH1 S T S +THRUSTS(2) TH R AH1 S S +THRUSTS(3) TH R AH1 S +THRUWAY TH R UW1 - W EY2 +THS TH S +THUD TH AH1 D +THUG TH AH1 G +THUGGERY TH AH1 - G ER0 - IY0 +THUGS TH AH1 G Z +THUL TH AH1 L +THULIN TH UW1 - L IH0 N +THULL TH AH1 L +THUM TH AH1 M +THUMA TH UW1 - M AH0 +THUMAN TH UW1 - M AH0 N +THUMANN TH UW1 - M AH0 N +THUMB TH AH1 M +THUMBED TH AH1 M D +THUMBING TH AH1 - M IH0 NG +THUMBNAIL TH AH1 M - N EY2 L +THUMBS TH AH1 M Z +THUMM TH AH1 M +THUMMA TH AH1 - M AH0 +THUMP TH AH1 M P +THUMPED TH AH1 M P T +THUMPER TH AH1 M - P ER0 +THUMPING TH AH1 M - P IH0 NG +THUMPS TH AH1 M P S +THUN TH AH1 N +THUNBERG TH AH1 N - B ER0 G +THUNDER TH AH1 N - D ER0 +THUNDERBIRD TH AH1 N - D ER0 - B ER2 D +THUNDERBIRDS TH AH1 N - D ER0 - B ER2 D Z +THUNDERBOLT TH AH1 N - D ER0 - B AO2 L T +THUNDERCAT TH AH1 N - D ER0 - K AE2 T +THUNDERCATS TH AH1 N - D ER0 - K AE2 T S +THUNDERED TH AH1 N - D ER0 D +THUNDERING TH AH1 N - D ER0 - IH0 NG +THUNDEROUS TH AH1 N - D ER0 - AH0 S +THUNDERS TH AH1 N - D ER0 Z +THUNDERSHOWER TH AH1 N - D ER0 - SH AW2 - W ER0 +THUNDERSHOWERS TH AH1 N - D ER0 - SH AW2 - W ER0 Z +THUNDERSTORM TH AH1 N - D ER0 - S T AO2 R M +THUNDERSTORMS TH AH1 N - D ER0 - S T AO2 R M Z +THUNDERSTRUCK TH AH1 N - D ER0 - S T R AH2 K +THUNE TH UW1 N +THUNK TH AH1 N K +THUOT TH AW1 T +THUOT(2) TH UW1 T +THUR DH ER1 +THURBER TH ER1 - B ER0 +THURGOOD TH ER1 - G UH0 D +THURLOW TH ER1 - L OW0 +THURM TH ER1 M +THURMAN TH ER1 - M AH0 N +THURMON TH ER1 - M AH0 N +THURMOND TH ER1 - M AH0 N D +THURMOND'S TH ER1 - M AH0 N D Z +THURN TH ER1 N +THURNAU TH ER0 - N OW1 +THURNER TH ER1 - N ER0 +THURNHER TH ER1 - N ER0 +THUROW TH UH1 - R OW0 +THURSBY TH ER1 S - B IY0 +THURSDAY TH ER1 Z - D EY2 +THURSDAY'S TH ER1 Z - D IY0 Z +THURSDAY'S(2) TH ER1 Z - D EY2 Z +THURSDAY(2) TH ER1 Z - D IY0 +THURSDAYS TH ER1 Z - D EY0 Z +THURSDAYS(2) TH ER1 Z - D IY0 Z +THURSTAN TH ER1 - S T AH0 N +THURSTON TH ER1 - S T AH0 N +THUS DH AH1 S +THUSFAR DH AH1 S - F AA2 R +THUSLY DH AH1 S - L IY0 +THUY T UW1 +THWART TH W AO1 R T +THWARTED TH W AO1 R - T AH0 D +THWARTED(2) TH W AO1 R - T IH0 D +THWARTING TH W AO1 R - T IH0 NG +THWARTS TH W AO1 R T S +THWEATT TH W IY1 T +THWING TH W IH1 NG +THY DH AY1 +THYGERSON TH AY1 - G ER0 - S AH0 N +THYME TH AY1 M +THYMIDINE TH IH1 - M IH0 - D IY2 N +THYRA TH AY1 - R AH0 +THYROID TH AY1 - R OY0 D +THYSSEN T AY1 - S AH0 N +THYSSEN'S T AY1 - S AH0 N Z +TI T IY1 +TIA T IY1 - AH0 +TIAACREF T IY1 - AH0 - K R EH2 F +TIAACREF'S T IY1 - AH0 - K R EH2 F S +TIAN T Y AA1 N +TIANANMEN T IY0 - EH1 - N AE0 N - M EH2 N +TIANJIN T IY0 - AE1 N - JH IH0 N +TIANO T IY0 - AA1 - N OW0 +TIARA T IY0 - AA1 - R AH0 +TIBBALS T IH1 - B AH0 L Z +TIBBETS T IH1 - B IH0 T S +TIBBETT T IH1 - B IH0 T +TIBBETTS T IH1 - B IH0 T S +TIBBIE T IH1 - B IY0 +TIBBITS T IH1 - B IH0 T S +TIBBITTS T IH1 - B IH0 T S +TIBBS T IH1 B Z +TIBBY T IH1 - B IY0 +TIBER T AY1 - B ER0 +TIBERI T IY0 - B EH1 - R IY0 +TIBERIA T IH0 - B IY1 - R IY0 - AH0 +TIBERIO T IH0 - B IY1 - R IY0 - OW0 +TIBET T AH0 - B EH1 T +TIBETAN T IH0 - B EH1 - T AH0 N +TIBETANS T AH0 - B EH1 - T AH0 N Z +TIBIA T IH1 - B IY0 - AH0 +TIBIDOW T IH1 - B IY0 - D OW0 +TIC T IH1 K +TICE T AY1 S +TICER T AY1 - S ER0 +TICHENOR T IH1 - K AH0 - N ER0 +TICHY T IH1 - CH IY0 +TICINUS T IH0 - S IY1 - N AH0 S +TICK T IH1 K +TICKED T IH1 K T +TICKER T IH1 - K ER0 +TICKET T IH1 - K AH0 T +TICKET'S T IH1 - K AH0 T S +TICKET(2) T IH1 - K IH0 T +TICKETED T IH1 - K AH0 - T IH0 D +TICKETING T IH1 - K AH0 - T IH0 NG +TICKETLESS T IH1 - K AH0 T - L AH0 S +TICKETMASTER T IH1 - K IH0 T - M AE2 - S T ER0 +TICKETMASTER'S T IH1 - K AH0 T - M AE2 - S T ER0 Z +TICKETRON T IH1 - K AH0 - T R AA0 N +TICKETS T IH1 - K AH0 T S +TICKETS(2) T IH1 - K IH0 T S +TICKING T IH1 - K IH0 NG +TICKLE T IH1 - K AH0 L +TICKLED T IH1 - K AH0 L D +TICKLES T IH1 - K AH0 L Z +TICKLISH T IH1 - K AH0 L - IH0 SH +TICKNER T IH1 K - N ER0 +TICKNOR T IH1 K - N ER0 +TICKS T IH1 K S +TICONDEROGA T AY0 - K AA2 N - D ER0 - OW1 - G AH0 +TICONDEROGA'S T AY0 - K AA2 N - D ER0 - OW1 - G AH0 Z +TICOR T AY1 - K AO2 R +TICS T IH1 K S +TIDAL T AY1 - D AH0 L +TIDBALL T IH1 D - B AO2 L +TIDBIT T IH1 D - B IH2 T +TIDBITS T IH1 D - B IH0 T S +TIDD T IH1 D +TIDDLYWINKS T IH1 D - L IH0 - W IH0 NG K S +TIDDLYWINKS(2) T IH1 D - L IY0 - W IH0 NG K S +TIDE T AY1 D +TIDES T AY1 D Z +TIDEWATER T AY1 D - W AO2 - T ER0 +TIDING T AY1 - D IH0 NG +TIDINGS T AY1 - D IH0 NG Z +TIDMORE T IH1 D - M AO0 R +TIDRICK T IH1 - D R IH0 K +TIDWELL T IH1 - D W AH0 L +TIDY T AY1 - D IY0 +TIE T AY1 +TIED T AY1 D +TIEDE T IY1 D +TIEDEMAN T IY1 D - M AH0 N +TIEDEMANN T IY1 D - M AH0 N +TIEDT T IY1 D T +TIEGS T IY1 G Z +TIEING T AY1 - IH0 NG +TIEKEN T IY1 - K AH0 N +TIELESS T AY1 - L AH0 S +TIEMAN T IY1 - M AH0 N +TIEMANN T IY1 - M AH0 N +TIEMEYER T IY1 - M AY0 - ER0 +TIEN T Y EH1 N +TIEN-FU T Y EH1 N - F UW1 +TIENANMEN T Y EH0 - N AH0 N - M EH1 N +TIER T IY1 R +TIERCE T IY1 R S +TIERCO T IY1 R - K OW0 +TIERED T IY1 R D +TIERNAN T IH1 R - N AH0 N +TIERNEY T IH1 R - N IY0 +TIERNO T IH1 R - N OW0 +TIERS T IY1 R Z +TIES T AY1 Z +TIESZEN T IY1 - SH AH0 N +TIETJE T IY1 T JH +TIETJEN T IY1 T - JH AH0 N +TIETMEYER T IY1 T - M AY2 R +TIETMEYER(2) T AY1 T - M AY2 R +TIETZ T IY1 T S +TIETZE T IY1 T Z +TIETZE(2) T IY1 T - Z IY0 +TIEU T IY0 - UW1 +TIFF T IH1 F +TIFFANY T IH1 - F AH0 - N IY0 +TIFFANY'S T IH1 - F AH0 - N IY0 Z +TIFFIN T IH1 - F IH0 N +TIFFT T IH1 F T +TIFT T IH1 F T +TIFTON T IH1 F - T AH0 N +TIG T IH1 G +TIGAR T AY1 - G AA2 R +TIGAR(2) T AY1 - G ER0 +TIGER T AY1 - G ER0 +TIGER'S T AY1 - G ER0 Z +TIGERA T IH0 - JH EH1 - R AH0 +TIGERS T AY1 - G ER0 Z +TIGERS' T AY1 - G ER0 Z +TIGERT T AY1 - G ER0 T +TIGGES T IH1 G Z +TIGGS T IH1 G Z +TIGHE T AY1 G +TIGHT T AY1 T +TIGHTEN T AY1 - T AH0 N +TIGHTENED T AY1 - T AH0 N D +TIGHTENING T AY1 - T AH0 N - IH0 NG +TIGHTENING(2) T AY1 T - N IH0 NG +TIGHTENINGS T AY1 - T AH0 N - IH0 NG Z +TIGHTENINGS(2) T AY1 T - N IH0 NG Z +TIGHTENS T AY1 - T AH0 N Z +TIGHTER T AY1 - T ER0 +TIGHTEST T AY1 - T AH0 S T +TIGHTFISTED T AY1 T - F IH1 - S T IH0 D +TIGHTLY T AY1 T - L IY0 +TIGHTNESS T AY1 T - N AH0 S +TIGHTROPE T AY1 T - R OW2 P +TIGHTS T AY1 T S +TIGHTWAD T AY1 T - W AA2 D +TIGNER T AY1 G - N ER0 +TIGNOR T IH1 G - N ER0 +TIGON T IH1 - G AH0 N +TIGREAN T IH0 - G R IY1 N +TIGRIS T AY1 - G R AH0 S +TIGUE T IY1 G +TIJERINA T IY0 - Y EH0 - R IY1 - N AH0 +TIJUANA T IH0 - W AA1 - N AH0 +TIKE T AY1 K +TIKES T AY1 K S +TIL T IH1 L +TILBURY T IH1 L - B EH2 - R IY0 +TILDA T IH1 L - D AH0 +TILDEN T IH1 L - D AH0 N +TILE T AY1 L +TILED T AY1 L D +TILES T AY1 L Z +TILEY T AY1 - L IY0 +TILFORD T IH1 L - F ER0 D +TILGHMAN T IH1 L - M AH0 N +TILL T IH1 L +TILLER T IH1 - L ER0 +TILLERY T IH1 - L ER0 - IY0 +TILLES T AY1 L Z +TILLETT T IH1 - L IH0 T +TILLEY T IH1 - L IY0 +TILLIE T IH1 - L IY0 +TILLING T IH1 - L IH0 NG +TILLINGHAST T IH1 - L IH0 NG - HH AE2 S T +TILLIS T IH1 - L IH0 S +TILLISON T IH1 - L IH0 - S AH0 N +TILLMAN T IH1 L - M AH0 N +TILLMON T IH1 L - M AH0 N +TILLOTSON T IH1 - L AH0 T - S AH0 N +TILLSON T IH1 L - S AH0 N +TILLY T IH1 - L IY0 +TILMAN T IH1 L - M AH0 N +TILNEY T IH1 L - N IY0 +TILSON T IH1 L - S AH0 N +TILT T IH1 L T +TILTED T IH1 L - T AH0 D +TILTED(2) T IH1 L - T IH0 D +TILTH T IH1 L TH +TILTING T IH1 L - T IH0 NG +TILTON T IH1 L - T AH0 N +TILTS T IH1 L T S +TIM T IH1 M +TIM'S T IH1 M Z +TIMAN T AY1 - M AH0 N +TIMBER T IH1 M - B ER0 +TIMBERLAKE T IH1 M - B ER0 - L EY2 K +TIMBERLAND T IH1 M - B ER0 - L AE2 N D +TIMBERLANDS T IH1 M - B ER0 - L AE2 N D Z +TIMBERLINE T IH1 M - B ER0 - L AY2 N +TIMBERMAN T IH1 M - B ER0 - M AH0 N +TIMBERS T IH1 M - B ER0 Z +TIMBLIN T IH1 M - B L IH0 N +TIMBRE T IH1 M - B ER0 +TIMBROOK T IH1 M - B R UH2 K +TIMBS T IH1 M Z +TIMBUKTU T IH2 M - B AH0 K - T UW1 +TIME T AY1 M +TIME'S T AY1 M Z +TIMED T AY1 M D +TIMEFRAME T AY1 M - F R EY2 M +TIMELESS T AY1 M - L AH0 S +TIMELINE T AY1 M - L AY0 N +TIMELINES T AY1 M - L AY0 N Z +TIMELINESS T AY1 M - L IY0 - N AH0 S +TIMELY T AY1 M - L IY0 +TIMEOUT T AY1 M - AW2 T +TIMEPIECE T AY1 M - P IY2 S +TIMEPLEX T AY1 M - P L EH2 K S +TIMER T AY1 - M ER0 +TIMERS T AY1 - M ER0 Z +TIMES T AY1 M Z +TIMES' T AY1 M Z +TIMES'S T AY1 M - Z IH0 Z +TIMESHARE T AY1 M - SH EH2 R +TIMETABLE T AY1 M - T EY2 - B AH0 L +TIMETABLES T AY1 M - T EY2 - B AH0 L Z +TIMEWISE T AY1 M - W AY2 Z +TIMEX T AY1 - M EH0 K S +TIMID T IH1 - M IH0 D +TIMIDITY T AH0 - M IH1 - D AH0 - T IY0 +TIMIDLY T IH1 - M AH0 D - L IY0 +TIMING T AY1 - M IH0 NG +TIMISOARA T IH2 - M AH0 - S OW0 - AA1 - R AH0 +TIMISOARA(2) T IH2 - M AH0 - S W AA1 - R AH0 +TIMKEN T IH1 M - K AH0 N +TIMKO T IH1 M - K OW0 +TIMLEN T IH1 M - L AH0 N +TIMLIN T IH1 M - L IH0 N +TIMM T IH1 M +TIMME T IH1 M +TIMMENY T IH1 - M AH0 - N IY0 +TIMMER T IH1 - M ER0 +TIMMERMAN T IH1 - M ER0 - M AH0 N +TIMMERMANN T IH1 - M ER0 - M AH0 N +TIMMERS T IH1 - M ER0 Z +TIMMIE T IH1 - M IY0 +TIMMINS T IH1 - M IH0 N Z +TIMMONS T IH1 - M AH0 N Z +TIMMS T IH1 M Z +TIMMY T IH1 - M IY0 +TIMON T AY1 - M AH0 N +TIMONEY T IH1 - M AH0 - N IY0 +TIMOR T IY0 - M AO1 R +TIMOR'S T IY0 - M AO1 R Z +TIMORESE T IY2 - M AO0 - R IY1 Z +TIMOROUS T IH1 - M ER0 - AH0 S +TIMOTHEA T IH0 - M AH0 - DH IY1 - AH0 +TIMOTHY T IH1 - M AH0 - TH IY0 +TIMPANI T IH1 M - P AH0 - N IY2 +TIMPE T IH1 M P +TIMPONE T IY0 M - P OW1 - N IY0 +TIMPSON T IH1 M P - S AH0 N +TIMS T IH1 M Z +TIMSON T IH1 M - S AH0 N +TIN T IH1 N +TINA T IY1 - N AH0 +TINA'S T IY1 - N AH0 Z +TINAJERO T IY0 - N AA0 - Y EH1 - R OW0 +TINCH T IH1 N CH +TINCHER T IH1 N - CH ER0 +TINCTURE T IH1 NG K - CH ER0 +TINCTURES T IH1 NG K - CH ER0 Z +TINDAL T IH1 N - D AH0 L +TINDALL T IH1 N - D AH0 L +TINDEL T IH1 N - D AH0 L +TINDELL T IH1 N - D AH0 L +TINDER T IH1 N - D ER0 +TINDERBOX T IH1 N - D ER0 - B AA2 K S +TINDLE T IH1 N - D AH0 L +TINDOL T IH1 N - D AH0 L +TINE T AY1 N +TINER T AY1 - N ER0 +TINES T AY1 N Z +TING T IH1 NG +TINGE T IH1 N JH +TINGED T IH1 NG D +TINGEN T IH1 - NG AH0 N +TINGEY T IH1 NG - G IY0 +TINGLE T IH1 NG - G AH0 L +TINGLER T IH1 NG - G AH0 - L ER0 +TINGLER(2) T IH1 NG - G L ER0 +TINGLEY T IH1 NG - G L IY0 +TINGLING T IH1 NG - G AH0 L - IH0 NG +TINGLING(2) T IH1 NG - G L IH0 NG +TINIER T AY1 - N IY0 - ER0 +TINIEST T AY1 - N IY0 - AH0 S T +TINKER T IH1 NG - K ER0 +TINKER'S T IH1 NG - K ER0 Z +TINKERED T IH1 NG - K ER0 D +TINKERER T IH1 NG - K ER0 - ER0 +TINKERERS T IH1 NG - K ER0 - ER0 Z +TINKERING T IH1 NG - K ER0 - IH0 NG +TINKERING(2) T IH1 NG - K R IH0 NG +TINKEY T IH1 N - K IY2 +TINKHAM T IH1 NG - K AH0 M +TINKLE T IH1 NG - K AH0 L +TINKLED T IH1 NG - K AH0 L D +TINKLER T IH1 NG - K AH0 - L ER0 +TINKLER(2) T IH1 NG - K L ER0 +TINKLING T IH1 NG - K AH0 L - IH0 NG +TINKLING(2) T IH1 NG - K L IH0 NG +TINLEY T IH1 N - L IY0 +TINMAN T IH1 N - M AE2 N +TINNELL T IH1 - N AH0 L +TINNEY T IH1 - N IY0 +TINNIN T IH1 - N IH0 N +TINNON T IH1 - N AH0 N +TINNY T IH1 - N IY0 +TINO T IY1 - N OW0 +TINOCO T IY0 - N OW1 - K OW0 +TINS T IH1 N Z +TINSEL T IH1 N - S AH0 L +TINSELTOWN T IH1 N - S AH0 L - T AW2 N +TINSLEY T IH1 N S - L IY0 +TINSMAN T IH1 N S - M AH0 N +TINT T IH1 N T +TINTED T IH1 N - T IH0 D +TINTO T IH1 N - T OW0 +TINTON T IH1 N - T AH0 N +TINTS T IH1 N T S +TINTYPE T IH1 N - T AY2 P +TINY T AY1 - N IY0 +TIP T IH1 P +TIPA T IH1 - P AH0 +TIPHOOK T IH1 P - HH UH2 K +TIPLER T AY1 - P AH0 - L ER0 +TIPLER(2) T AY1 P - L ER0 +TIPO T IY1 - P OW0 +TIPOFF T IH1 - P AO2 F +TIPP T IH1 P +TIPPED T IH1 P T +TIPPEN T IH1 - P AH0 N +TIPPENS T IH1 - P AH0 N Z +TIPPER T IH1 - P ER0 +TIPPERARY T IH1 - P ER0 - EH2 - R IY0 +TIPPERS T IH1 - P ER0 Z +TIPPET T IH1 - P AH0 T +TIPPETS T IH1 - P IH0 T S +TIPPETT T IH1 - P IH0 T +TIPPETTS T IH1 - P IH0 T S +TIPPIE T IH1 - P IY0 +TIPPIN T IH1 - P IH0 N +TIPPING T IH1 - P IH0 NG +TIPPINS T IH1 - P IH0 N Z +TIPPIT T IH1 - P IH0 T +TIPPITT T IH1 - P IH0 T +TIPPLE T IH1 - P AH0 L +TIPPS T IH1 P S +TIPPY T IH1 - P IY0 +TIPPY'S T IH1 - P IY0 Z +TIPS T IH1 P S +TIPSTER T IH1 P - S T ER0 +TIPSWORD T IH1 P - S AO2 R D +TIPSY T IH1 P - S IY0 +TIPTOE T IH1 P - T OW2 +TIPTOED T IH1 P - T OW2 D +TIPTOEING T IH1 P - T OW2 - IH0 NG +TIPTON T IH1 P - T AH0 N +TIRADE T AY0 - R EY1 D +TIRADES T AY0 - R EY1 D Z +TIRADO T IH0 - R AA1 - D OW0 +TIRAMISU T IH2 - R AH0 - M IH1 - S UW2 +TIRANA T IH1 - R AA0 - N AH0 +TIRANE T IH0 - R EY1 N +TIRE T AY1 - ER0 +TIRED T AY1 - ER0 D +TIREDNESS T AY1 - ER0 D - N IH0 S +TIRELESS T AY1 - ER0 - L AH0 S +TIRELESSLY T AY1 R - L AH0 S - L IY0 +TIRELLO T IH0 - R EH1 - L OW0 +TIREMAKER T AY1 R - M EY2 - K ER0 +TIRES T AY1 - ER0 Z +TIRESOME T AY1 - ER0 - S AH0 M +TIREY T AY1 - R IY0 +TIRING T AY1 - R IH0 NG +TIRONE T IH0 - R OW1 N +TIROS T AY1 - R OW0 Z +TIRPAK T ER1 - P AH0 K +TIRRELL T IH0 - R EY1 L +TIS T IH1 Z +TISCH T IH1 SH +TISCH'S T IH1 - SH IH0 Z +TISCHER T IH1 - SH ER0 +TISCHLER T IH1 - SH AH0 L - ER0 +TISCHLER(2) T IH1 SH - L ER0 +TISDALE T IH1 S - D EY0 L +TISDEL T IH1 S - D AH0 L +TISDELL T IH1 S - D AH0 L +TISH T IH1 SH +TISH'S T IH1 - SH IH0 Z +TISHER T IH1 - SH ER0 +TISHLER T IH1 SH - L ER0 +TISHMAN T IH1 SH - M AH0 N +TISON T IH1 - S AH0 N +TISSUE T IH1 - S Y UW2 +TISSUE(2) T IH1 - SH UW0 +TISSUES T IH1 - S Y UW2 Z +TISSUES(2) T IH1 - SH UW0 Z +TIT T IH1 T +TIT-FOR-TAT T IH1 T - F AO2 R - T AE1 T +TITA T IY1 - T AH0 +TITAN T AY1 - T AH0 N +TITANATE T AY1 - T AH0 - N EY2 T +TITANIA T AH0 - T AA1 - N Y AH0 +TITANIC T AY0 - T AE1 - N IH0 K +TITANIUM T AY0 - T EY1 - N IY0 - AH0 M +TITANS T AY1 - T AH0 N Z +TITCOMB T IH1 T - K AH0 M +TITHE T AY1 DH +TITHING T AY1 - DH IH0 NG +TITIAN T IH1 - SH AH0 N +TITILLATE T IH1 - T AH0 - L EY2 T +TITILLATED T IH1 - T AH0 - L EY2 - T IH0 D +TITILLATING T IH1 - T AH0 - L EY2 - T IH0 NG +TITILLATION T IH2 - T IH0 - L EY1 - SH AH0 N +TITLE T AY1 - T AH0 L +TITLED T AY1 - T AH0 L D +TITLEHOLDER T AY1 - T AH0 L - HH OW2 L - D ER0 +TITLES T AY1 - T AH0 L Z +TITLOW T IH1 T - L OW2 +TITMAN T IH1 T - M AH0 N +TITO T IY1 - T OW0 +TITO'S T IY1 - T OW0 Z +TITONE T IH1 - T AH0 N +TITSWORTH T IH1 T - S W ER2 TH +TITTEL T IH1 - T AH0 L +TITTER T IH1 - T ER0 +TITTERINGTON T IH1 - T ER0 - IH0 NG - T AH0 N +TITTLE T IH1 - T AH0 L +TITTSWORTH T IH1 T - S W ER0 TH +TITULAR T IH1 - CH AH0 - L ER0 +TITUS T AY1 - T AH0 S +TITUSVILLE T AY1 - T AH0 S - V IH2 L +TITZER T IH1 T - Z ER0 +TIVOLI T IH1 - V AH0 - L IY0 +TIZZY T IH1 - Z IY0 +TJADEN JH EY1 - D AH0 N +TJARKS JH AA1 R K S +TKACH K AE1 CH +TKACZ K AA1 CH +TLINGIT T L IY1 NG - G IH0 T +TO T UW1 +TO(2) T IH0 +TO(3) T AH0 +TOA T OW1 - AH0 +TOAD T OW1 D +TOADS T OW1 D Z +TOAL T OW1 L +TOALSON T OW1 L - S AH0 N +TOALSTER T OW1 L - S T ER0 +TOAST T OW1 S T +TOASTED T OW1 - S T IH0 D +TOASTER T OW1 - S T ER0 +TOASTERS T OW1 - S T ER0 Z +TOASTING T OW1 - S T IH0 NG +TOASTMASTER T OW1 S T - M AE2 - S T ER0 +TOASTS T OW1 S T S +TOASTS(2) T OW1 S S +TOASTS(3) T OW1 S +TOBACCO T AH0 - B AE1 - K OW2 +TOBACCO'S T AH0 - B AE1 - K OW2 Z +TOBACCOS T AH0 - B AE1 - K OW2 Z +TOBACK CH UW1 - B AE0 K +TOBAGO T AH0 - B EY1 - G OW0 +TOBAR T OW1 - B ER0 +TOBE T OW1 B +TOBEN T OW1 - B AH0 N +TOBER T OW1 - B ER0 +TOBEY T OW1 - B IY0 +TOBIA T OW1 - B IY0 - AH0 +TOBIAS T AH0 - B AY1 - AH0 S +TOBIASON T AH0 - B AY1 - AH0 - S AH0 N +TOBIE T OW1 - B IY0 +TOBIN T OW1 - B IH0 N +TOBLER T OW1 - B AH0 L - ER0 +TOBLER(2) T OW1 - B L ER0 +TOBOGGAN T AH0 - B AA1 - G AH0 N +TOBOGGANS T AH0 - B AA1 - G AH0 N Z +TOBOLSKI T AH0 - B OW1 L - S K IY0 +TOBU T OW0 - B UW1 +TOBY T OW1 - B IY0 +TOCCI T OW1 - CH IY0 +TOCCO T AA1 - K OW0 +TOCK T AA1 K +TOCQUEVILLE T OW1 K - V IH0 L +TOCZEK T AA1 - CH EH0 K +TOD T AA1 D +TODA T OW1 - D AH0 +TODARO T OW0 - D AA1 - R OW0 +TODAY T AH0 - D EY1 +TODAY'LL T AH0 - D EY1 L +TODAY'LL(2) T UW0 - D EY1 L +TODAY'S T AH0 - D EY1 Z +TODAY'S(2) T UW1 - D EY0 Z +TODAY(2) T UW0 - D EY1 +TODAYS T AH0 - D EY1 Z +TODAYS(2) T UW1 - D EY0 Z +TODD T AA1 D +TODD'S T AA1 D Z +TODDLE T AA1 - D AH0 L +TODDLER T AA1 D - L ER0 +TODDLERS T AA1 D - L ER0 Z +TODDLING T AA1 D - L IH0 NG +TODHUNTER T AA1 D - HH AH2 N - T ER0 +TODI'S T OW1 - D IY0 S +TODISCO T OW0 - D IY1 - S K OW0 +TODMAN T AA1 D - M AH0 N +TODOROFF T AA1 - D ER0 - AO0 F +TODT T AA1 D T +TOE T OW1 +TOED T OW1 D +TOEHOLD T OW1 - HH OW2 L D +TOEING T OW1 - IH0 NG +TOELLE T OW1 L +TOENAIL T OW1 - N EY2 L +TOENAILS T OW1 - N EY2 L Z +TOENJES T OW1 N - JH IH0 Z +TOENSING T OW1 N - S IH0 NG +TOEPFER T OW1 P - F ER0 +TOES T OW1 Z +TOEWS T AA1 - UW0 Z +TOFFEE T AA1 - F IY0 +TOFFLER T AO1 F - L ER0 +TOFT T AA1 F T +TOFTE T OW1 F T +TOFU T OW1 - F UW0 +TOGA T OW1 - G AH0 +TOGETHER T AH0 - G EH1 - DH ER0 +TOGETHERNESS T AH0 - G EH1 - DH ER0 - N AH0 S +TOGETHERS T AH0 - G EH1 - DH ER0 Z +TOGGLE T AA1 - G AH0 L +TOGGLED T AA1 - G AH0 L D +TOGGLING T AA1 - G L IH0 NG +TOGNINO T AA2 G - N IY1 - N OW0 +TOGO T OW1 - G OW0 +TOGS T AA1 G Z +TOIL T OY1 L +TOILED T OY1 L D +TOILET T OY1 - L AH0 T +TOILETRIES T OY1 - L AH0 - T R IY0 Z +TOILETRY T OY1 - L AH0 - T R IY0 +TOILETS T OY1 - L AH0 T S +TOILING T OY1 - L IH0 NG +TOILS T OY1 L Z +TOITY T OY1 - T IY0 +TOIVONEN T OY1 - V AH0 - N AH0 N +TOKAI T OW0 - K AY1 +TOKAR T OW0 - K AA1 R +TOKARCZYK T AA1 - K ER0 - CH IH0 K +TOKARS T OW0 - K AA1 R Z +TOKARSKI T AH0 - K AA1 R S - K IY0 +TOKARZ T OW1 - K AA0 R Z +TOKEN T OW1 - K AH0 N +TOKENISM T OW1 - K AH0 - N IH2 - Z AH0 M +TOKENS T OW1 - K AH0 N Z +TOKIO T OW0 - K IY1 - OW0 +TOKKIN T AA1 - K IH0 N +TOKOS T OW1 - K OW0 S +TOKUNAGA T OW0 - K UW0 - N AA1 - G AH0 +TOKUO T AA1 - K Y UW0 - OW0 +TOKUYAMA T OW2 - K UW2 - Y AA1 - M AH0 +TOKYO T OW1 - K IY0 - OW2 +TOKYO'S T OW1 - K IY0 - OW2 Z +TOKYU T OW1 - K Y UW0 +TOLAN T OW1 - L AH0 N +TOLAND T OW1 - L AH0 N D +TOLANTHE T OW0 - L AA1 N - DH IY0 +TOLAR T OW1 - L ER0 +TOLBERT T OW1 L - B ER0 T +TOLD T OW1 L D +TOLDRIAN T OW1 L - D R IY0 - AH0 N +TOLE T OW1 L +TOLEDO T AH0 - L IY1 - D OW0 +TOLEN T OW1 - L AH0 N +TOLENTINO T OW2 - L EH0 N - T IY1 - N OW0 +TOLER T OW1 - L ER0 +TOLERABLE T AA1 - L ER0 - AH0 - B AH0 L +TOLERANCE T AA1 - L ER0 - AH0 N S +TOLERANCES T AA1 - L ER0 - AH0 N - S IH0 Z +TOLERANT T AA1 - L ER0 - AH0 N T +TOLERATE T AA1 - L ER0 - EY2 T +TOLERATED T AA1 - L ER0 - EY2 - T AH0 D +TOLERATES T AO1 - L ER0 - EY2 T S +TOLERATING T AA1 - L ER0 - EY2 - T IH0 NG +TOLERATION T AA2 - L ER0 - EY1 - SH AH0 N +TOLES T OW1 L Z +TOLHURST T OW1 L - HH ER0 S T +TOLIN T OW1 - L IH0 N +TOLIVER T OW1 - L IH0 - V ER0 +TOLL T OW1 L +TOLLAND T AA1 - L AH0 N D +TOLLAND'S T AA1 - L AH0 N D Z +TOLLBOOTH T OW1 L - B UW2 TH +TOLLE T AA1 L +TOLLED T OW1 L D +TOLLEFSEN T AA1 - L IH0 F - S AH0 N +TOLLEFSON T AA1 - L IH0 F - S AH0 N +TOLLER T OW1 - L ER0 +TOLLES T OW1 L Z +TOLLESON T AA1 - L IH0 - S AH0 N +TOLLETT T AA1 - L IH0 T +TOLLEY T AA1 - L IY0 +TOLLING T OW1 - L IH0 NG +TOLLISON T AA1 - L IH0 - S AH0 N +TOLLIVER T OW1 - L IH0 - V ER0 +TOLLS T OW1 L Z +TOLLY T OW1 - L IY0 +TOLMAN T AA1 L - M AH0 N +TOLSMA T OW1 L - S M AH0 +TOLSON T OW1 L - S AH0 N +TOLSTOY T OW1 L - S T OY2 +TOLSTOY'S T OW1 L - S T OY2 Z +TOM T AA1 M +TOM'S T AA1 M Z +TOMA T OW1 - M AH0 +TOMAHAWK T AA1 - M AH0 - HH AO2 K +TOMAHAWKS T AA1 - M AH0 - HH AO2 K S +TOMAINO T OW0 - M AA0 - IY1 - N OW0 +TOMAKO T OW0 - M AA1 - K OW0 +TOMAKO'S T OW0 - M AA1 - K OW0 Z +TOMAN T OW1 - M AH0 N +TOMANEK T AA1 - M AH0 - N IH0 K +TOMARO T OW0 - M AA1 - R OW0 +TOMAS T OW0 - M AA1 S +TOMASEK T AH0 - M AA1 - S EH0 K +TOMASELLI T OW0 - M AA0 - S EH1 - L IY0 +TOMASELLO T OW0 - M AA0 - S EH1 - L OW0 +TOMASETTI T OW0 - M AA0 - S EH1 - T IY0 +TOMASI T OW0 - M AA1 - S IY0 +TOMASIC T AH0 - M AA1 - S IH0 K +TOMASIK T AH0 - M AA1 - S IH0 K +TOMASINA T AO2 - M AH0 - S IY1 - N AH0 +TOMASINE T OW0 - M AA0 - S IY1 - N IY0 +TOMASINI T OW0 - M AA0 - S IY1 - N IY0 +TOMASINO T OW0 - M AA0 - S IY1 - N OW0 +TOMASKO T AH0 - M AA1 - S K OW0 +TOMASO T OW0 - M AA1 - S OW0 +TOMASSETTI T OW0 - M AA0 - S EH1 - T IY0 +TOMASSI T OW0 - M AA1 - S IY0 +TOMASSO T OW0 - M AA1 - S OW0 +TOMASULO T OW0 - M AA0 - S UW1 - L OW0 +TOMASZEWSKI T AH0 - M AH0 - SH EH1 F S - K IY0 +TOMATO T AH0 - M EY1 - T OW2 +TOMATO(2) T AH0 - M AA1 - T OW2 +TOMATOES T AH0 - M EY1 - T OW0 Z +TOMATOES(2) T AH0 - M AA1 - T OW0 Z +TOMATOS T AH0 - M EY1 - T OW2 Z +TOMATOS(2) T AH0 - M AA1 - T OW2 Z +TOMAYKO T AH0 - M AY1 - K OW0 +TOMB T UW1 M +TOMBERLIN T AA1 M - B ER0 - L IH0 N +TOMBLIKE T UW1 M - L AY2 K +TOMBLIN T AA1 M - B L IH0 N +TOMBOY T AA1 M - B OY2 +TOMBS T UW1 M Z +TOMBSTONE T UW1 M - S T OW2 N +TOMBSTONES T UW1 M - S T OW2 N Z +TOMCAT T AA1 M - K AE2 T +TOMCZAK T AA1 M - CH AE0 K +TOMCZYK T AA1 M - CH IH0 K +TOME T OW1 M +TOMEI T AA1 - M AY0 +TOMEK T OW1 - M EH0 K +TOMEO T OW1 - M IY0 - OW0 +TOMER T OW1 - M ER0 +TOMERLIN T AA1 - M ER0 - L IH0 N +TOMES T OW1 M Z +TOMEY T OW1 - M IY0 +TOMICH T AA1 - M IH0 K +TOMIICHI T OW2 - M IY0 - IY1 - CH IY0 +TOMILSON T AA1 - M AH0 L - S AH0 N +TOMITA T OW0 - M IY1 - T AH0 +TOMKIEWICZ T AA1 M - K AH0 - V IH0 CH +TOMKIN T AA1 M - K IH0 N +TOMKINS T AA1 M - K IH0 N Z +TOMKINSON T AA1 M - K IH0 N - S AH0 N +TOMKO T AA1 M - K OW0 +TOMLIN T AA1 M - L IH0 N +TOMLINSON T AA1 M - L IH0 N - S AH0 N +TOMMIE T AA1 - M IY0 +TOMMY T AA1 - M IY0 +TOMMY'S T AA1 - M IY0 Z +TOMORROW T AH0 - M AA1 - R OW2 +TOMORROW'S T AH0 - M AA1 - R OW2 Z +TOMORROW'S(2) T UW0 - M AA1 - R OW2 Z +TOMORROW(2) T UW0 - M AA1 - R OW2 +TOMORROWS T AH0 - M AA1 - R OW2 Z +TOMORROWS(2) T UW0 - M AA1 - R OW2 Z +TOMPANE T AA1 M - P EY2 N +TOMPKINS T AA1 M P - K IH0 N Z +TOMPKINSES T AA1 M P - K IH0 N - S IH0 Z +TOMPSON T AA1 M P - S AH0 N +TOMS T AA1 M Z +TOMSIC T AA1 M - S IH0 K +TOMSON T AA1 M - S AH0 N +TON T AH1 N +TONAL T OW1 - N AH0 L +TONALITIES T OW0 - N AE1 - L AH0 - T IY0 Z +TONALITY T OW0 - N AE1 - L AH0 - T IY0 +TONAWANDA T AA2 - N AH0 W - AA1 N - D AH0 +TONDA T AA1 N - D AH0 +TONDREAU T AH0 N - D R OW1 +TONE T OW1 N +TONED T OW1 N D +TONEGAWA T OW2 - N IH0 - G AA1 - W AH0 +TONELLI T OW0 - N EH1 - L IY0 +TONER T OW1 - N ER0 +TONES T OW1 N Z +TONEY T OW1 - N IY0 +TONG T AO1 NG +TONGE T AA1 N JH +TONGS T AA1 NG Z +TONGS(2) T AO1 NG Z +TONGUE T AH1 NG +TONGUED T AH1 NG D +TONGUES T AH1 NG Z +TONI T OW1 - N IY0 +TONIA T OW1 - N IY0 - AH0 +TONIC T AA1 - N IH0 K +TONICS T AA1 - N IH0 K S +TONIE T OW1 - N IY0 +TONIEST T OW0 - N IY1 S T +TONIGHT T AH0 - N AY1 T +TONIGHT'S T AH0 - N AY1 T S +TONIGHT'S(2) T UW0 - N AY1 T S +TONIGHT(2) T UW0 - N AY1 T +TONING T OW1 - N IH0 NG +TONINI T OW0 - N IY1 - N IY0 +TONITE T AH0 - N AY1 T +TONJES T OW1 - N Y EH0 S +TONK T AO1 NG K +TONKA T AA1 NG - K AH0 +TONKA'S T AA1 NG - K AH0 Z +TONKIN T AA1 NG - K IH0 N +TONKOVICH T AA1 NG - K AH0 - V IH0 CH +TONKS T AA1 NG K S +TONN T AA1 N +TONNAGE T AH1 - N AH0 JH +TONNAGE(2) T AH1 - N IH0 JH +TONNAGES T AH1 - N AH0 - JH AH0 Z +TONNE T AH1 N +TONNER T AH1 - N ER0 +TONNES T AH1 N Z +TONNESEN T AH1 N - S AH0 N +TONS T AH1 N Z +TONSIL T AA2 N - S AH0 L +TONSILLECTOMIES T AA2 N - S IH0 - L EH1 K - T AH0 - M IY0 Z +TONSILLECTOMY T AA2 N - S IH0 - L EH1 K - T AH0 - M IY0 +TONSILS T AA1 N - S AH0 L Z +TONTI T AA1 N - T IY0 +TONTON T AA1 N - T AH0 N +TONTONS T AA1 N - T AH0 N Z +TONY T OW1 - N IY0 +TONY'S T OW1 - N IY0 Z +TONYA T AA1 - N Y AH0 +TONYA'S T AA1 - N Y AH0 Z +TONYES T OW1 - N Y AH0 Z +TONYS T OW1 - N IY0 Z +TOO T UW1 +TOOBIN T UW1 - B AH0 N +TOOBIN'S T UW1 - B AH0 N Z +TOOGOOD T UW1 - G UH2 D +TOOHEY T UW1 - IY0 +TOOK T UH1 K +TOOKE T UH1 K +TOOKER T UH1 - K ER0 +TOOKES T UH1 K S +TOOL T UW1 L +TOOLAN T UW1 - L AH0 N +TOOLBOX T UW1 L - B AO2 K S +TOOLE T UW1 L +TOOLED T UW1 L D +TOOLEY T UW1 - L IY0 +TOOLING T UW1 - L IH0 NG +TOOLMAKER T UW1 L - M EY2 - K ER0 +TOOLMAKERS T UW1 L - M EY2 - K ER0 Z +TOOLROOM T UW1 L - R UW2 M +TOOLS T UW1 L Z +TOOLWORKS T UW1 L - W ER2 K S +TOOMAN T UW1 - M AH0 N +TOOMBS T UW1 M Z +TOOMER T UW1 - M ER0 +TOOMEY T UW1 - M IY0 +TOON T UW1 N +TOONE T UW1 N +TOOPS T UW1 P S +TOOT T UW1 T +TOOTAL T UW1 - T AH0 L +TOOTE T UW1 T +TOOTH T UW1 TH +TOOTHAKER T UW1 - TH AH0 - K ER0 +TOOTHBRUSH T UW1 TH - B R AH0 SH +TOOTHBRUSHES T UW1 TH - B R AH2 - SH IH0 Z +TOOTHED T UW1 TH T +TOOTHED(2) T UW1 DH D +TOOTHLESS T UW1 TH - L AH0 S +TOOTHLIKE T UW1 TH - L AY2 K +TOOTHMAN T UW1 TH - M AH0 N +TOOTHPASTE T UW1 TH - P EY2 S T +TOOTHPASTES T UW1 TH - P EY2 S T S +TOOTHPICK T UW1 TH - P IH2 K +TOOTHPICKS T UW1 TH - P IH2 K S +TOOTHY T UW1 - TH IY0 +TOOTLE T UW1 - T AH0 L +TOOTS T UW1 T S +TOOTS(2) T UH1 T S +TOOTSIE T UW1 T - S IY1 +TOOTSIE(2) T UH1 T - S IY1 +TOP T AA1 P +TOP(2) T AO1 P +TOPALIAN T AH0 - P EY1 - L IY0 - AH0 N +TOPANGA T OW0 - P AE1 NG - G AH0 +TOPANGA(2) T AH0 - P AE1 NG - G AH0 +TOPAZ T OW1 - P AE2 Z +TOPE T OW1 P +TOPEKA T AH0 - P IY1 - K AH0 +TOPEKA'S T AH0 - P IY1 - K AH0 Z +TOPEKA(2) T OW0 - P IY1 - K AH0 +TOPEKAN T AH0 - P IY1 - K AH0 N +TOPEKANS T AH0 - P IY1 - K AH0 N Z +TOPEL T OW1 - P AH0 L +TOPETE T AA1 - P IY0 T +TOPHAM T AA1 - F AH0 M +TOPIARY T OW1 - P IY0 - EH2 - R IY0 +TOPIC T AA1 - P IH0 K +TOPICAL T AA1 - P AH0 - K AH0 L +TOPICAL(2) T AA1 - P IH0 - K AH0 L +TOPICS T AA1 - P IH0 K S +TOPIX T OW1 - P IH2 K S +TOPIX(2) T AA1 - P IH2 K S +TOPKAPI T AA2 P - K AA1 - P IY0 +TOPKNOT T AA1 P - N AA2 T +TOPLESS T AA1 P - L AH0 S +TOPLIFF T AA1 P - L IH0 F +TOPOGRAPHIC T AA2 - P AH0 - G R AE1 - F IH0 K +TOPOGRAPHY T AH0 - P AA1 - G R AH0 - F IY0 +TOPOL T OW1 - P AA0 L +TOPOLSKI T AH0 - P OW1 L - S K IY0 +TOPOR T AA1 - P ER0 +TOPP T AA1 P +TOPPED T AA1 P T +TOPPER T AA1 - P ER0 +TOPPERS T AA1 - P ER0 Z +TOPPIN T AA1 - P IH0 N +TOPPING T AA1 - P IH0 NG +TOPPINGS T AA1 - P IH0 NG Z +TOPPINS T AA1 - P IH0 N Z +TOPPLE T AA1 - P AH0 L +TOPPLED T AA1 - P AH0 L D +TOPPLES T AA1 - P AH0 L Z +TOPPLING T AA1 - P AH0 L - IH0 NG +TOPPLING(2) T AA1 - P L IH0 NG +TOPPS T AA1 P S +TOPS T AA1 P S +TOPSOIL T AA1 P - S OY2 L +TOPSY T AA1 P - S IY0 +TOPSY-TURVY T AA1 P - S IY0 - T ER1 - V IY0 +TOQUEPALA T AA2 K - W EH0 - P AA1 - L AH0 +TOR T AO1 R +TORAH T AO1 - R AH0 +TORAIN T ER0 - EY1 N +TORALD T AO1 - R AH0 L D +TORAN T AO0 - R AA1 N +TORAY T AO0 - R EY1 +TORBECK T AO1 R - B EH0 K +TORBERT T AO1 R - B ER0 T +TORBETT T AO1 R - B IH0 T +TORCH T AO1 R CH +TORCHED T AO1 R CH T +TORCHES T AO1 R - CH IH0 Z +TORCHIA T AO1 R - K IY0 - AH0 +TORCHING T AO1 R - CH IH0 NG +TORCHMARK T AO1 R CH - M AA2 R K +TORDELLA T AO2 R - D EH1 - L AH0 +TORE T AO1 R +TORELL T AO0 - R EH1 L +TORELLI T AO0 - R EH1 - L IY0 +TORELLO T AO0 - R EH1 - L OW0 +TOREN T AO1 - R AH0 N +TOREY T AO1 - R IY0 +TORGERSEN T AO1 R - G ER0 - S AH0 N +TORGERSON T AO1 R - G ER0 - S AH0 N +TORGESON T AO1 R - G IH0 - S AH0 N +TORI T AO1 - R IY0 +TORIAN T AO1 - R IY0 - AH0 N +TORIBIO T AO0 - R IY1 - B IY0 - OW0 +TORIE T AO1 - R IY0 +TORIES T AO1 - R IY0 Z +TORIES' T AO1 - R IY0 Z +TORINO T AO0 - R IY1 - N OW0 +TORKELSON T AO1 R - K IH0 L - S AH0 N +TORLEY T AO1 R - L IY0 +TORMA T AO1 R - M AH0 +TORME T AO1 R M +TORME(2) T AO2 R - M EY1 +TORMENT T AO1 R - M EH2 N T +TORMENT(2) T AO0 R - M EH1 N T +TORMENTA T AO2 R - M EH1 N - T AH0 +TORMENTED T AO1 R - M EH2 N - T IH0 D +TORMENTING T AO1 R - M EH2 N - T IH0 NG +TORMENTOR T AO1 R - M EH2 N - T ER0 +TORMENTORS T AO1 R - M EH2 N - T ER0 Z +TORMENTS T AO1 R - M EH2 N T S +TORMEY T AO1 R - M IY0 +TORN T AO1 R N +TORNABENE T AO0 R - N AA0 - B EH1 - N AH0 +TORNADIC T AO0 R - N EY1 - D IH0 K +TORNADO T AO0 R - N EY1 - D OW2 +TORNADO'S T AO0 R - N EY1 - D OW2 Z +TORNADOES T AO0 R - N EY1 - D OW0 Z +TORNADOS T AO0 R - N EY1 - D OW2 Z +TORNATORE T AO0 R - N AA0 - T AO1 - R IY0 +TORNEY T AO1 R - N IY0 +TORNO T AO1 R - N OW0 +TORNOW T AO1 R - N OW0 +TORNQUIST T AO1 R N - K W IH0 S T +TORO T AO1 - R OW0 +TOROK T AO1 - R AH0 K +TORONADO T AO2 - R AH0 - N AA1 - D OW0 +TORONTO T ER0 - AA1 N - T OW0 +TORONTO'S T ER0 - AA1 N - T OW0 Z +TORONTO'S(2) T AO0 - R AA1 N - T OW0 Z +TORONTO(2) T AO0 - R AA1 N - T OW0 +TOROSIAN T ER0 - AA1 - ZH IH0 N +TORP T AO1 R P +TORPEDO T AO0 R - P IY1 - D OW2 +TORPEDOED T AO0 R - P IY1 - D OW2 D +TORPEDOES T AO0 R - P IY1 - D OW0 Z +TORPEDOING T AO0 R - P IY1 - D OW2 - IH0 NG +TORPEDOS T AO0 R - P IY1 - D OW2 Z +TORPEY T AO1 R - P IY0 +TORPID T AO1 R - P AH0 D +TORPOR T AO1 R - P ER0 +TORQUE T AO1 R K +TORR T AO1 R +TORRANCE T AO1 - R AH0 N S +TORRAS T AO1 - R AH0 S +TORRAY T AO1 - R EY0 +TORRE T AO1 R +TORREGROSSA T AO0 - R EH0 - G R OW1 - S AH0 +TORREJON T AO1 - R AH0 - JH AA0 N +TORRENCE T AO1 - R AH0 N S +TORRENS T AO1 - R AH0 N Z +TORRENT T AO1 - R AH0 N T +TORRENTIAL T AO0 - R EH1 N - CH AH0 L +TORRENTIAL(2) T AO0 - R EH1 N - SH AH0 L +TORRENTS T AO1 - R AH0 N T S +TORRENZANO T AO2 - R EH0 N - Z AA1 - N OW0 +TORREON T AO1 - R IY0 - AH0 N +TORRES T AO1 - R EH2 Z +TORREY T AO1 - R IY0 +TORREZ T AO0 - R EH1 Z +TORRICELLI T AO2 - R IH0 - S EH1 - L IY0 +TORRID T AO1 - R AH0 D +TORRIJOS T AO0 - R IY1 - OW0 S +TORRINGTON T AO1 - R IH0 NG - T AH0 N +TORRISI T AO0 - R IY1 - S IY0 +TORRY T AO1 - R IY0 +TORSIELLO T AO0 R - S IY0 - EH1 - L OW0 +TORSO T AO1 R - S OW2 +TORSOS T AO1 R - S OW2 Z +TORSTAR T AO1 R - S T AA2 R +TORSTEN T AO1 R - S T AH0 N +TORT T AO1 R T +TORTE T AO1 R T +TORTI T AO1 R - T IY0 +TORTILLA T AO0 R - T IY1 - AH0 +TORTILLAS T AO2 R - T IY1 - AH0 Z +TORTOISE T AO1 R - T AH0 S +TORTOISES T AO1 R - T AH0 - S AH0 Z +TORTORA T AO0 R - T AO1 - R AH0 +TORTORELLA T AO0 R - T AO0 - R EH1 - L AH0 +TORTORELLI T AO0 R - T AO0 - R EH1 - L IY0 +TORTORELLO T AO0 R - T AO0 - R EH1 - L OW0 +TORTORICE T AO0 R - T AO1 - R IH0 S +TORTORICI T AO0 R - T AO0 - R IY1 - CH IY0 +TORTORIELLO T AO0 R - T AO0 - R IY0 - EH1 - L OW0 +TORTS T AO1 R T S +TORTUOUS T AO1 R - CH AH0 W - AH0 S +TORTURE T AO1 R - CH ER0 +TORTURED T AO1 R - CH ER0 D +TORTURES T AO1 R - CH ER0 Z +TORTURING T AO1 R - CH ER0 - IH0 NG +TORTUROUS T AO1 R - CH UW2 - AH0 S +TORU T AO1 - R UW0 +TORUMI T AO2 - R UW1 - M IY0 +TORUMI'S T AO2 - R UW1 - M IY0 Z +TORY T AO1 - R IY0 +TOSCA T AO1 - S K AH0 +TOSCANINI T AO2 S - K AH0 - N IY1 - N IY0 +TOSCANINI'S T AH2 S - K AH0 - N IY1 - N IY0 Z +TOSCANO T OW0 - S K AA1 - N OW0 +TOSCH T AO1 SH +TOSCO T AO1 - S K OW0 +TOSH T AA1 SH +TOSHIBA T OW0 - SH IY1 - B AH0 +TOSHIBA'S T OW0 - SH IY1 - B AH0 Z +TOSHIHARU T OW2 - SH IH0 HH - AA1 - R UW0 +TOSHIHIKO T OW2 - SH IH0 - HH IY1 - K OW0 +TOSHIKI T OW0 - SH IY1 - K IY0 +TOSHIMITSU T OW0 - SH IY0 - M IY1 T - S UW0 +TOSHIO T OW0 - SH IY1 - OW0 +TOSHIYUKI T OW2 - SH IH0 Y - UW1 - K IY0 +TOSI T OW1 - S IY0 +TOSO T OW1 - S OW0 +TOSS T AO1 S +TOSSED T AO1 S T +TOSSES T AO1 - S IH0 Z +TOSSING T AO1 - S IH0 NG +TOSTADO T OW0 - S T AA1 - D OW0 +TOSTE T OW1 S T +TOSTENSON T AA1 - S T IH0 N - S AH0 N +TOSTI T AO1 - S T IY0 +TOSTO T OW1 - S T OW0 +TOT T AA1 T +TOTA T OW1 - T AH0 +TOTAL T OW1 - T AH0 L +TOTAL'S T OW1 - T AH0 L Z +TOTALED T OW1 - T AH0 L D +TOTALING T OW1 - T AH0 L - IH0 NG +TOTALITARIAN T OW2 - T AE2 - L IH0 - T EH1 - R IY0 - AH0 N +TOTALITARIANISM T OW2 - T AE2 - L AH0 - T EH1 - R IY0 - AH0 - N IH2 - Z AH0 M +TOTALITARIANS T OW0 - T AE2 - L AH0 - T EH1 - R IY0 - AH0 N Z +TOTALITY T OW0 - T AE1 - L AH0 - T IY0 +TOTALLED T OW1 - T AH0 L D +TOTALLING T OW1 - T AH0 L - IH0 NG +TOTALLY T OW1 - T AH0 L - IY0 +TOTALS T OW1 - T AH0 L Z +TOTARO T OW0 - T AA1 R - OW0 +TOTE T OW1 T +TOTED T OW1 - T IH0 D +TOTEM T OW1 - T AH0 M +TOTEMS T OW1 - T AH0 M Z +TOTENBERG T OW1 - T AH0 N - B ER0 G +TOTES T OW1 T S +TOTH T AA1 TH +TOTHEROW T AH1 - DH ER0 - OW0 +TOTI T OW1 - T IY0 +TOTING T OW1 - T IH0 NG +TOTINO'S T AH0 - T IY1 - N OW0 Z +TOTMAN T AA1 T - M AH0 N +TOTO T OW1 - T OW0 +TOTS T AA1 T S +TOTTEN T AA1 - T AH0 N +TOTTENBERG T AA1 - T AH0 N - B ER0 G +TOTTER T AA1 - T ER0 +TOTTERING T AA1 - T ER0 - IH0 NG +TOTTON T AA1 - T AH0 N +TOTTY T AA1 - T IY0 +TOTZKE T AA1 T S - K IY0 +TOUAREG T UW1 - ER0 - AH0 G +TOUCH T AH1 CH +TOUCHDOWN T AH1 CH - D AW2 N +TOUCHDOWNS T AH1 CH - D AW2 N Z +TOUCHE T UW1 SH +TOUCHED T AH1 CH T +TOUCHES T AH1 - CH AH0 Z +TOUCHES(2) T AH1 - CH IH0 Z +TOUCHET T UW0 - SH EH1 T +TOUCHETTE T UW2 - SH EH1 T +TOUCHING T AH1 - CH IH0 NG +TOUCHSTONE T AH1 CH - S T OW2 N +TOUCHTON T AH1 CH - T AH0 N +TOUCHY T AH1 - CH IY0 +TOUFEXIS T UW2 - F EH1 K - S IH0 S +TOUGALOO T UW1 - G AH0 - L UW2 +TOUGAS T AH1 - G AH0 Z +TOUGH T AH1 F +TOUGHED T AH1 F T +TOUGHEN T AH1 - F AH0 N +TOUGHENED T AH1 - F AH0 N D +TOUGHENING T AH1 - F AH0 N - IH0 NG +TOUGHENS T AH1 - F AH0 N Z +TOUGHER T AH1 - F ER0 +TOUGHEST T AH1 - F AH0 S T +TOUGHNESS T AH1 F - N AH0 S +TOUGHS T AH1 F S +TOUHEY T AH1 - HH IY0 +TOULOUSE T UW0 - L UW1 Z +TOUPEE T UW2 - P EY1 +TOUPIN T UW1 - P IH0 N +TOUPS T UW1 P S +TOUR T UH1 R +TOUR'S T UH1 R Z +TOURANGEAU T UH1 - R EY0 NG - G OW0 +TOURED T UH1 R D +TOURETTE T ER0 - EH1 T +TOURETTE'S T ER0 - EH1 T S +TOURETZKY T ER0 - EH1 T S - K IY0 +TOURIGNY T UH1 - R AY0 - N IY0 +TOURING T UH1 - R IH0 NG +TOURISM T UH1 - R IH2 - Z AH0 M +TOURIST T UH1 - R AH0 S T +TOURIST(2) T UH1 - R IH0 S T +TOURISTS T UH1 - R AH0 S T S +TOURISTS(2) T UH1 - R IH0 S T S +TOURISTS(3) T UH1 - R IH0 S S +TOURISTS(4) T UH1 - R IH0 S +TOURMALINE T UH1 R - M AH0 - L IY2 N +TOURNAMENT T UH1 R - N AH0 - M AH0 N T +TOURNAMENT'S T UH1 R - N AH0 - M AH0 N T S +TOURNAMENTS T ER1 - N AH0 - M AH0 N T S +TOURNEY T ER1 - N IY0 +TOURNEYS T UW1 R - N IY0 Z +TOURNIQUET T ER0 - N IH0 - K IH0 T +TOURNQUIST T UW1 R N - K W IH0 S T +TOURO T UW1 - R OW0 +TOURS T UH1 R Z +TOURS(2) T AO1 R Z +TOURTELOT T UH1 R - T AH0 - L AA0 T +TOURTELOT(2) T UH2 R - T AH0 - L OW1 +TOURVILLE T UH1 R - V IH0 L +TOUSEY T AH1 - S IY0 +TOUSIGNANT T UW1 - S IH0 G - N AH0 N T +TOUSLEY T AH1 S - L IY0 +TOUSSAINT T UW0 - S AE1 N +TOUSSAUD T UW1 - S AA2 D +TOUSSAUD'S T UW1 - S AA2 D Z +TOUSSIE T UW1 - S IY0 +TOUT T AW1 T +TOUTANT T UW0 - T AO1 N T +TOUTED T AW1 - T IH0 D +TOUTING T AW1 - T IH0 NG +TOUTS T AW1 T S +TOUVIER T UW2 - V IY0 - EY1 +TOUVIER'S T UW2 - V IY0 - EY1 Z +TOVAR T OW0 - V AA1 R +TOVAZ T OW1 - V AA2 Z +TOVEY T OW1 - V IY0 +TOVIA T OW1 - V IY0 - AH0 +TOVIA(2) T OW1 - V Y AH0 +TOW T OW1 +TOWARD T AH0 - W AO1 R D +TOWARD(2) T AO1 R D +TOWARDS T AH0 - W AO1 R D Z +TOWARDS(2) T AO1 R D Z +TOWBIN T OW1 - B IH2 N +TOWBOAT T OW1 - B OW2 T +TOWE T OW1 +TOWED T OW1 D +TOWEL T AW1 - AH0 L +TOWEL(2) T AW1 L +TOWELING T AW1 - AH0 L - IH0 NG +TOWELING(2) T AW1 - L IH0 NG +TOWELL T AA1 - W EH0 L +TOWELS T AW1 - AH0 L Z +TOWELS(2) T AW1 L Z +TOWER T AW1 - ER0 +TOWER'S T AW1 - ER0 Z +TOWERED T AW1 - ER0 D +TOWERING T AW1 - ER0 - IH0 NG +TOWERING(2) T AW1 - R IH0 NG +TOWERS T AW1 - ER0 Z +TOWERS' T AW1 - ER0 Z +TOWERY T OW0 - ER1 - IY0 +TOWEY T OW1 - IY0 +TOWING T OW1 - IH0 NG +TOWLE T AW1 L +TOWLE'S T AW1 L Z +TOWLER T OW1 - L ER0 +TOWLES T OW1 - AH0 L Z +TOWN T AW1 N +TOWN'S T AW1 N Z +TOWNE T AW1 N +TOWNER T AW1 - N ER0 +TOWNERS T AW1 - N ER0 Z +TOWNES T AW1 N Z +TOWNHOUSE T AW1 N - HH AW2 S +TOWNHOUSES T AW1 N - HH AW2 - S IH0 Z +TOWNIE T AW1 - N IY0 +TOWNLEY T AW1 N - L IY0 +TOWNS T AW1 N Z +TOWNSEL T AW1 N - S AH0 L +TOWNSELL T AW1 N - S AH0 L +TOWNSEND T AW1 N - Z AH0 N D +TOWNSEND'S T AW1 N - Z AH0 N D Z +TOWNSFOLK T AW1 N Z - F OW2 K +TOWNSHEND T AW1 N - SH EH2 N D +TOWNSHIP T AW1 N - SH IH0 P +TOWNSHIP'S T AW1 N - SH IH2 P S +TOWNSHIPS T AW1 N - SH IH0 P S +TOWNSLEY T AW1 N S - L IY0 +TOWNSMAN T AW1 N Z - M AH0 N +TOWNSON T AW1 N - S AH0 N +TOWNSPEOPLE T AW1 N Z - P IY2 - P AH0 L +TOWRY T AO1 - R IY0 +TOWS T OW1 Z +TOWSLEY T OW1 S - L IY0 +TOWSON T OW1 - S AH0 N +TOXIC T AA1 K - S IH0 K +TOXICITY T AA0 K - S IH1 - S AH0 - T IY0 +TOXICOLOGICAL T AA2 K - S AH0 - K AH0 - L AA1 - JH IH0 - K AH0 L +TOXICOLOGIST T AA2 K - S IH0 - K AA1 - L AH0 - JH IH0 S T +TOXICOLOGISTS T AA2 K - S IH0 - K AA1 - L AH0 - JH IH0 S T S +TOXICOLOGISTS(2) T AA2 K - S IH0 - K AA1 - L AH0 - JH IH0 S S +TOXICOLOGISTS(3) T AA2 K - S IH0 - K AA1 - L AH0 - JH IH0 S +TOXICOLOGY T AA2 K - S IH0 - K AA1 - L AH0 - JH IY0 +TOXICS T AA1 K - S IH0 K S +TOXIN T AA1 K - S AH0 N +TOXINS T AA1 K - S AH0 N Z +TOY T OY1 +TOY'S T OY1 Z +TOYA T OY1 - AH0 +TOYAMA T OW0 - Y AA1 - M AH0 +TOYE T OY1 +TOYED T OY1 D +TOYING T OY1 - IH0 NG +TOYKO T OY1 - K OW0 +TOYMAKER T OY1 - M EY2 - K ER0 +TOYMAKERS T OY1 - M EY2 - K ER0 Z +TOYO T OW1 - Y OW0 +TOYOBO T OW0 - Y OW1 - B OW0 +TOYODA T OW0 - Y OW1 - D AH0 +TOYOO T OY0 - UW1 +TOYOTA T OW0 - Y OW1 - T AH0 +TOYOTA'S T OW0 - Y OW1 - T AH0 Z +TOYOTAS T OY2 - OW1 - T AH0 Z +TOYS T OY1 Z +TOYS' T OY1 Z +TOYSTORE T OY1 - S T AO2 R +TOYSTORES T OY1 - S T AO2 R Z +TOZER T OW1 - Z ER0 +TOZIER T OW1 - Z IY0 - ER0 +TOZZI T AA1 - Z IY0 +TRABER T R EY1 - B ER0 +TRABERT T R AE1 - B ER0 T +TRABUCCO T R AA0 - B UW1 - K OW0 +TRABUE T R AA1 B - W EH0 +TRAC T R AE1 K +TRACE T R EY1 S +TRACEABLE T R EY1 - S AH0 - B AH0 L +TRACED T R EY1 S T +TRACER T R EY1 - S ER0 +TRACERS T R EY1 - S ER0 Z +TRACES T R EY1 - S AH0 Z +TRACES(2) T R EY1 - S IH0 Z +TRACEY T R EY1 - S IY0 +TRACHEA T R EY1 - K IY0 - AH0 +TRACHEAL T R EY1 - K IY0 - AH0 L +TRACHEOPHYTE T R EY1 - K IY0 - AH0 - F AY0 T +TRACHEOPHYTES T R EY1 - K IY0 - AH0 - F AY0 T S +TRACHSEL T R AE1 K - S AH0 L +TRACHT T R AE1 K T +TRACHTENBERG T R AE1 K - T AH0 N - B ER0 G +TRACIE T R EY1 - S IY0 +TRACINDA T R AH0 - S IH1 N - D AH0 +TRACINDA'S T R AH0 - S IH1 N - D AH0 Z +TRACING T R EY1 - S IH0 NG +TRACK T R AE1 K +TRACK'S T R AE1 K S +TRACKAGE T R AE1 - K IH0 JH +TRACKBALL T R AE1 K - B AO2 L +TRACKBALLS T R AE1 K - B AO2 L Z +TRACKED T R AE1 K T +TRACKER T R AE1 - K ER0 +TRACKERS T R AE1 - K ER0 Z +TRACKING T R AE1 - K IH0 NG +TRACKS T R AE1 K S +TRACOR T R EY1 - S ER0 +TRACOR(2) T R EH1 - K ER0 +TRACOR(3) T R EY1 - K AO2 R +TRACOR(4) T R AE1 - K AO2 R +TRACT T R AE1 K T +TRACTABLE T R AE1 K - T AH0 - B AH0 L +TRACTEBEL T R AE1 K - T AH0 - B AH0 L +TRACTION T R AE1 K - SH AH0 N +TRACTOR T R AE1 K - T ER0 +TRACTORS T R AE1 K - T ER0 Z +TRACTS T R AE1 K T S +TRACY T R EY1 - S IY0 +TRACY'S T R EY1 - S IY0 Z +TRACZ T R AA1 CH +TRACZYK T R AA1 - CH IH2 K +TRADABLE T R EY1 - D AH0 - B AH0 L +TRADE T R EY1 D +TRADE'S T R EY1 D Z +TRADEABLE T R EY1 - D AH0 - B AH0 L +TRADED T R EY1 - D IH0 D +TRADEMARK T R EY1 D - M AA2 R K +TRADEMARKED T R EY1 D - M AA2 R K T +TRADEMARKS T R EY1 D - M AA2 R K S +TRADEOFF T R EY1 - D AO2 F +TRADEOFFS T R EY1 - D AO2 F S +TRADER T R EY1 - D ER0 +TRADER'S T R EY1 - D ER0 Z +TRADERS T R EY1 - D ER0 Z +TRADERS' T R EY1 - D ER0 Z +TRADES T R EY1 D Z +TRADESMEN T R EY1 D Z - M AH0 N +TRADING T R EY1 - D IH0 NG +TRADING'S T R EY1 - D IH0 NG Z +TRADINGS T R EY1 - D IH0 NG Z +TRADITION T R AH0 - D IH1 - SH AH0 N +TRADITIONAL T R AH0 - D IH1 - SH AH0 - N AH0 L +TRADITIONALIST T R AH0 - D IH1 - SH AH0 N - AH0 - L IH0 S T +TRADITIONALISTS T R AH0 - D IH1 SH - N AH0 - L AH0 S T S +TRADITIONALLY T R AH0 - D IH1 - SH AH0 N - AH0 - L IY0 +TRADITIONALLY(2) T R AH0 - D IH1 SH - N AH0 - L IY0 +TRADITIONS T R AH0 - D IH1 - SH AH0 N Z +TRAEGER T R EH1 - G ER0 +TRAER T R EH1 R +TRAFALGAR T R AH0 - F AE1 L - G ER0 +TRAFFIC T R AE1 - F IH0 K +TRAFFIC'S T R AE1 - F IH0 K S +TRAFFICKER T R AE1 - F IH0 - K ER0 +TRAFFICKERS T R AE1 - F IH0 - K ER0 Z +TRAFFICKING T R AE1 - F IH0 - K IH0 NG +TRAFFORD T R AE1 - F ER0 D +TRAFICANT T R AE1 - F IH0 - K AH0 N T +TRAFICANTE T R AA0 - F IY0 - K AA1 N - T IY0 +TRAFILLIO T R AH0 - F IY1 - L IY0 - OW0 +TRAFILLIO'S T R AH0 - F IY1 - L IY0 - OW0 Z +TRAFTON T R AE1 F - T AH0 N +TRAGEDIES T R AE1 - JH AH0 - D IY0 Z +TRAGEDY T R AE1 - JH AH0 - D IY0 +TRAGER T R EY1 - G ER0 +TRAGESER T R AE1 - G IY0 - Z ER0 +TRAGIC T R AE1 - JH IH0 K +TRAGICALLY T R AE1 - JH IH0 K - L IY0 +TRAGICOMIC T R AE2 - JH IH0 - K AA1 - M IH0 K +TRAGOS T R AE1 - G OW0 Z +TRAHAN T R AE1 - HH AH0 N +TRAHERN T R AE1 - HH ER0 N +TRAIL T R EY1 L +TRAILBLAZER T R EY1 L - B L EY2 - Z ER0 +TRAILBLAZERS T R EY1 L - B L EY2 - Z ER0 Z +TRAILED T R EY1 L D +TRAILER T R EY1 - L ER0 +TRAILERS T R EY1 - L ER0 Z +TRAILHEAD T R EY1 L - HH EH2 D +TRAILING T R EY1 - L IH0 NG +TRAILS T R EY1 L Z +TRAILS' T R EY1 L Z +TRAILWAYS T R EY1 L - W EY2 Z +TRAILWAYS' T R EY1 L - W EY2 Z +TRAIN T R EY1 N +TRAIN'S T R EY1 N Z +TRAINA T R EY1 - N AH0 +TRAINABLE T R EY1 - N AH0 - B AH0 L +TRAINED T R EY1 N D +TRAINEE T R EY1 - N IY1 +TRAINEES T R EY1 - N IY1 Z +TRAINER T R EY1 - N ER0 +TRAINERS T R EY1 - N ER0 Z +TRAINING T R EY1 - N IH0 NG +TRAINMEN T R EY1 N - M AH0 N +TRAINOR T R EY1 - N ER0 +TRAINS T R EY1 N Z +TRAIPSE T R EY1 P S +TRAIPSING T R EY1 P - S IH0 NG +TRAISTER T R EY1 - S T ER0 +TRAIT T R EY1 T +TRAITOR T R EY1 - T ER0 +TRAITOROUS T R EY1 - T ER0 - AH0 S +TRAITORS T R EY1 - T ER0 Z +TRAITS T R EY1 T S +TRAJAN T R EY1 - JH AH0 N +TRAJAN'S T R EY1 - JH AH0 N Z +TRAJECTORY T R AH0 - JH EH1 K - T ER0 - IY0 +TRAK T R AE1 K +TRAKAS T R AA1 - K AH0 Z +TRAM T R AE1 M +TRAMBLE T R AE1 M - B AH0 L +TRAMCO T R AE1 M - K OW0 +TRAMEL T R AE1 - M AH0 L +TRAMELL T R AA0 - M EY1 L +TRAMIEL T R AE1 - M IY0 - AH0 L +TRAMMEL T R AE1 - M AH0 L +TRAMMELL T R AE1 - M AH0 L +TRAMONTANA T R AA0 - M OW0 N - T AE1 - N AH0 +TRAMONTANO T R AA0 - M OW0 N - T AA1 - N OW0 +TRAMONTE T R AA0 - M OW1 N - T IY0 +TRAMONTIN T R AH0 - M AA1 N - T IH0 N +TRAMP T R AE1 M P +TRAMPE T R AE1 M P +TRAMPING T R AE1 M - P IH0 NG +TRAMPLE T R AE1 M - P AH0 L +TRAMPLED T R AE1 M - P AH0 L D +TRAMPLES T R AE1 M - P AH0 L Z +TRAMPLING T R AE1 M - P L IH0 NG +TRAMPOLINE T R AE2 M - P AH0 - L IY1 N +TRAMPS T R AE1 M P Z +TRAMS T R AE1 M Z +TRAN T R AE1 N +TRANBERG T R AE1 N - B ER0 G +TRANCE T R AE1 N S +TRANCHE T R AE1 N CH +TRANCHES T R AE1 N - CH EH0 Z +TRANCHINA T R AA0 N - K IY1 - N AH0 +TRANE T R EY1 N +TRANG T R AE1 NG +TRANI T R AA1 - N IY0 +TRANQUIL T R AE1 NG - K W AH0 L +TRANQUIL(2) T R AE1 NG - K W IH0 L +TRANQUILITY T R AE0 NG - K W IH1 - L IH0 - T IY0 +TRANQUILIZE T R AE1 NG - K W AH0 - L AY2 Z +TRANQUILIZE(2) T R AE1 NG - K W AH0 - L AY2 Z +TRANQUILIZER T R AE1 NG - K W AH0 - L AY2 - Z ER0 +TRANQUILIZERS T R AE1 NG - K W AH0 - L AY2 - Z ER0 Z +TRANQUILIZING T R AE1 NG - K W AH0 - L AY2 - Z IH0 NG +TRANS T R AE1 N Z +TRANSACT T R AE0 N - Z AE1 K T +TRANSACTED T R AE0 N - S AE1 K - T IH0 D +TRANSACTED(2) T R AE0 N - Z AE1 K - T IH0 D +TRANSACTION T R AE0 N - Z AE1 K - SH AH0 N +TRANSACTION'S T R AE0 N - Z AE1 K - SH AH0 N Z +TRANSACTIONS T R AE0 N - Z AE1 K - SH AH0 N Z +TRANSAFRICA T R AE2 N - Z AE1 - F R IH0 - K AH0 +TRANSALASKA T R AE2 N - Z AH0 - L AE1 S - K AH0 +TRANSALTA T R AE2 N - Z AO1 L - T AH0 +TRANSAMERICA T R AE2 N - S AH0 - M EH1 - R IH0 - K AH0 +TRANSAMERICA'S T R AE2 N - Z AH0 - M EH1 - R IH0 - K AH0 Z +TRANSAMERICAN T R AE2 N - Z AH0 - M EH1 - R IH0 - K AH0 N +TRANSAMERICAN'S T R AE2 N - Z AH0 - M EH1 - R IH0 - K AH0 N Z +TRANSATLANTIC T R AE2 N Z - AH0 T - L AE1 N - T IH0 K +TRANSATLANTIC(2) T R AE2 N Z - AH0 T - L AE1 - N IH0 K +TRANSCANADA T R AE2 N Z - K AE1 - N AH0 - T AH0 +TRANSCANADA'S T R AE2 N Z - K AE1 - N AH0 - D AH0 Z +TRANSCAPITAL T R AE2 N Z - K AE1 - P IH0 - T AH0 L +TRANSCEND T R AE0 N - S EH1 N D +TRANSCENDED T R AE0 N - S EH1 N - D IH0 D +TRANSCENDENCE T R AE0 N - S EH1 N - D AH0 N S +TRANSCENDENT T R AE0 N - S EH1 N - D AH0 N T +TRANSCENDENTAL T R AE2 N - S AH0 N - D EH1 N - T AH0 L +TRANSCENDENTAL(2) T R AE2 N - S AH0 N - D EH1 - N AH0 L +TRANSCENDING T R AE0 N - S EH1 N - D IH0 NG +TRANSCENDS T R AE0 N - S EH1 N D Z +TRANSCHANNEL T R AH1 N S - CH AE1 - N AH0 L +TRANSCHANNEL'S T R AH1 N S - CH AE1 - N AH0 L Z +TRANSCISCO T R AE2 N - S IH1 - S K OW0 +TRANSCO T R AE1 N - S K OW0 +TRANSCON T R AE1 N Z - K AA0 N +TRANSCONTINENTAL T R AE2 N Z - K AA2 N - T IH0 - N EH1 N - T AH0 L +TRANSCONTINENTAL'S T R AE2 N Z - K AA2 N - T IH0 - N EH1 N - T AH0 L Z +TRANSCONTINENTAL'S(2) T R AE2 N Z - K AA2 - N IH0 - N EH1 N - T AH0 L Z +TRANSCONTINENTAL'S(3) T R AE2 N Z - K AA2 N - T IH0 - N EH1 - N AH0 L Z +TRANSCONTINENTAL'S(4) T R AE2 N Z - K AA2 - N IH0 - N EH1 - N AH0 L Z +TRANSCONTINENTAL(2) T R AE2 N Z - K AA2 - N IH0 - N EH1 N - T AH0 L +TRANSCONTINENTAL(3) T R AE2 N Z - K AA2 N - T IH0 - N EH1 - N AH0 L +TRANSCONTINENTAL(4) T R AE2 N Z - K AA2 - N IH0 - N EH1 - N AH0 L +TRANSCRIBE T R AE0 N - S K R AY1 B +TRANSCRIBED T R AE0 N - S K R AY1 B D +TRANSCRIBER T R AE0 N - S K R AY1 - B ER0 +TRANSCRIBERS T R AE0 N - S K R AY1 - B ER0 Z +TRANSCRIBES T R AE0 N - S K R AY1 B Z +TRANSCRIBING T R AE0 N - S K R AY1 - B IH0 NG +TRANSCRIPT T R AE1 N - S K R IH2 P T +TRANSCRIPTION T R AE2 N - S K R IH1 P - SH AH0 N +TRANSCRIPTIONS T R AE2 N - S K R IH1 P - SH AH0 N Z +TRANSCRIPTS T R AE1 N - S K R IH2 P T S +TRANSDUCER T R AE0 N S - D UW1 - S ER0 +TRANSDUCERS T R AE0 N S - D UW1 - S ER0 Z +TRANSECT T R AE1 N - S EH2 K T +TRANSECTED T R AE1 N - S EH2 K - T IH0 D +TRANSECTION T R AE1 N - S EH2 K - SH AH0 N +TRANSFER T R AE0 N S - F ER1 +TRANSFER(2) T R AE1 N S - F ER0 +TRANSFERABILITY T R AE2 N S - F ER0 - AH0 - B IH1 - L IH0 - T IY0 +TRANSFERABLE T R AE0 N S - F ER1 - AH0 - B AH0 L +TRANSFERED T R AE0 N S - F ER1 D +TRANSFERENCE T R AE0 N S - F ER1 - AH0 N S +TRANSFERING T R AE0 N S - F ER1 - IH0 NG +TRANSFERRABLE T R AE2 N S - F ER1 - AH0 - B AH0 L +TRANSFERRED T R AE0 N S - F ER1 D +TRANSFERRED(2) T R AE1 N S - F ER0 D +TRANSFERRING T R AE0 N S - F ER1 - IH0 NG +TRANSFERS T R AE0 N S - F ER1 Z +TRANSFERS(2) T R AE1 N S - F ER0 Z +TRANSFIX T R AE0 N S - F IH1 K S +TRANSFIXED T R AE0 N S - F IH1 K S T +TRANSFORM T R AE0 N S - F AO1 R M +TRANSFORM(2) T R AE1 N S - F AO0 R M +TRANSFORMATION T R AE2 N S - F ER0 - M EY1 - SH AH0 N +TRANSFORMATIONAL T R AE2 N S - F ER0 - M EY1 - SH AH0 - N AH0 L +TRANSFORMATIONS T R AE2 N S - F ER0 - M EY1 - SH AH0 N Z +TRANSFORMED T R AE0 N S - F AO1 R M D +TRANSFORMER T R AE0 N S - F AO1 R - M ER0 +TRANSFORMERS T R AE0 N S - F AO1 R - M ER0 Z +TRANSFORMING T R AE0 N S - F AO1 R - M IH0 NG +TRANSFORMS T R AE0 N S - F AO1 R M Z +TRANSFUSE T R AE0 N S - F Y UW1 Z +TRANSFUSED T R AE0 N S - F Y UW1 Z D +TRANSFUSION T R AE0 N S - F Y UW1 - ZH AH0 N +TRANSFUSIONS T R AE0 N S - F Y UW1 - ZH AH0 N Z +TRANSGENIC T R AE2 N Z - JH EH1 - N IH0 K +TRANSGRESS T R AE0 N Z - G R EH1 S +TRANSGRESSED T R AE0 N Z - G R EH1 S T +TRANSGRESSION T R AE0 N Z - G R EH1 - SH AH0 N +TRANSGRESSIONS T R AE0 N Z - G R EH1 - SH AH0 N Z +TRANSGRESSOR T R AE0 N Z - G R EH1 - S ER0 +TRANSIENCE T R AE1 N - Z IY0 - AH0 N S +TRANSIENT T R AE1 N - ZH AH0 N T +TRANSIENTS T R AE1 N - Z IY0 - AH0 N T S +TRANSILLUMINATION T R AE2 N - Z AH0 - L UW2 - M AH0 - N EY1 - SH AH0 N +TRANSIMAGE T R AE2 N - Z IH1 - M IH0 JH +TRANSISTOR T R AE0 N - Z IH1 - S T ER0 +TRANSISTORS T R AE0 N - Z IH1 - S T ER0 Z +TRANSIT T R AE1 N - Z AH0 T +TRANSITION T R AE0 N - Z IH1 - SH AH0 N +TRANSITIONAL T R AE0 N - S IH1 - SH AH0 - N AH0 L +TRANSITIONAL(2) T R AE0 N - Z IH1 - SH AH0 - N AH0 L +TRANSITIONING T R AE0 N - Z IH1 - SH AH0 N - IH0 NG +TRANSITIONS T R AE0 N - Z IH1 - SH AH0 N Z +TRANSITORY T R AE1 N - Z AH0 - T AO2 - R IY0 +TRANSKEI T R AE1 N Z - K EY2 +TRANSLATE T R AE0 N Z - L EY1 T +TRANSLATE(2) T R AE0 N S - L EY1 T +TRANSLATED T R AE0 N Z - L EY1 - T AH0 D +TRANSLATED(2) T R AE0 N S - L EY1 - T IH0 D +TRANSLATES T R AE0 N Z - L EY1 T S +TRANSLATES(2) T R AE1 N S - L EY2 T S +TRANSLATING T R AE0 N Z - L EY1 - T IH0 NG +TRANSLATING(2) T R AE1 N S - L EY2 - T IH0 NG +TRANSLATION T R AE0 N Z - L EY1 - SH AH0 N +TRANSLATION(2) T R AE0 N S - L EY1 - SH AH0 N +TRANSLATIONS T R AE0 N Z - L EY1 - SH AH0 N Z +TRANSLATIONS(2) T R AE0 N S - L EY1 - SH AH0 N Z +TRANSLATOR T R AE0 N S - L EY1 - T ER0 +TRANSLATOR(2) T R AE0 N Z - L EY1 - T ER0 +TRANSLATORS T R AE0 N S - L EY1 - T ER0 Z +TRANSLATORS(2) T R AE0 N Z - L EY1 - T ER0 Z +TRANSLOGIC T R AE2 N Z - L AA1 - JH IH0 K +TRANSLUCENT T R AE0 N S - L UW1 - S AH0 N T +TRANSMARK T R AE1 N Z - M AA2 R K +TRANSMEDIA T R AE2 N Z - M IY1 - D IY0 - AH0 +TRANSMISSION T R AE0 N S - M IH1 - SH AH0 N +TRANSMISSION(2) T R AE0 N Z - M IH1 - SH AH0 N +TRANSMISSIONS T R AE0 N Z - M IH1 - SH AH0 N Z +TRANSMIT T R AE0 N Z - M IH1 T +TRANSMITS T R AE0 N Z - M IH1 T S +TRANSMITTABLE T R AE0 N Z - M IH1 - T AH0 - B AH0 L +TRANSMITTAL T R AE0 N S - M IH1 - T AH0 L +TRANSMITTED T R AE0 N S - M IH1 - T IH0 D +TRANSMITTED(2) T R AE0 N Z - M IH1 - T AH0 D +TRANSMITTER T R AE0 N S - M IH1 - T ER0 +TRANSMITTERS T R AE0 N S - M IH1 - T ER0 Z +TRANSMITTING T R AE0 N S - M IH1 - T IH0 NG +TRANSNATIONAL T R AE0 N S - N AE1 - SH AH0 - N AH0 L +TRANSOCEANIC T R AE2 N Z - OW0 - SH IY0 - AE1 - N IH0 K +TRANSOHIO T R AE2 N Z - OW0 - HH AY1 - OW0 +TRANSOM T R AE1 N - S AH0 M +TRANSOMS T R AE1 N - S AH0 M Z +TRANSOU T R AE1 N - Z UW2 +TRANSPAC T R AE1 N Z - P AE2 K +TRANSPACIFIC T R AE2 N S - P AH0 - S IH1 - F IH0 K +TRANSPARENCIES T R AE0 N - S P EH1 - R AH0 N - S IY0 Z +TRANSPARENCY T R AE0 N - S P EH1 - R AH0 N - S IY0 +TRANSPARENT T R AE0 N - S P EH1 - R AH0 N T +TRANSPARENTLY T R AE0 N - S P EH1 - R AH0 N T - L IY0 +TRANSPARK T R AE1 N S - P AA1 R K +TRANSPIRE T R AE0 N - S P AY1 - ER0 +TRANSPIRED T R AE0 N - S P AY1 - ER0 D +TRANSPIRES T R AE0 N - S P AY1 - ER0 Z +TRANSPIRING T R AE0 N - S P AY1 - ER0 - IH0 NG +TRANSPLANT T R AE0 N S - P L AE1 N T +TRANSPLANTATION T R AE2 N Z - P L AE0 N - T EY1 - SH AH0 N +TRANSPLANTED T R AE0 N S - P L AE1 N - T IH0 D +TRANSPLANTING T R AE0 N S - P L AE1 N - T IH0 NG +TRANSPLANTS T R AE0 N S - P L AE1 N T S +TRANSPONDER T R AE0 N S - P AA1 N - D ER0 +TRANSPONDERS T R AE0 N S - P AA1 N - D ER0 Z +TRANSPORT T R AE0 N S - P AO1 R T +TRANSPORT(2) T R AE1 N S - P AO0 R T +TRANSPORTABLE T R AE0 N S - P AO1 R - T AH0 - B AH0 L +TRANSPORTATION T R AE2 N S - P ER0 - T EY1 - SH AH0 N +TRANSPORTATION'S T R AE2 N S - P ER0 - T EY1 - SH AH0 N Z +TRANSPORTED T R AE0 N S - P AO1 R - T AH0 D +TRANSPORTER T R AE0 N S - P AO1 R - T ER0 +TRANSPORTERS T R AE0 N S - P AO1 R - T ER0 Z +TRANSPORTING T R AE0 N S - P AO1 R - T IH0 NG +TRANSPORTS T R AE0 N S - P AO1 R T S +TRANSPORTS(2) T R AE1 N S - P AO0 R T S +TRANSPOSE T R AE0 N S - P OW1 Z +TRANSPOSED T R AE0 N S - P OW1 Z D +TRANSRACIAL T R AE2 N Z - R EY1 - SH AH0 L +TRANSRAPID T R AE1 N Z - R AE1 - P IH0 D +TRANSSEXUAL T R AE0 N - S EH1 K - SH Y UW0 - AH0 L +TRANSSEXUALS T R AE0 N - S EH1 K - SH Y UW0 - AH0 L Z +TRANSTAR T R AE0 N S - T AA1 R +TRANSTECHNOLOGY T R AE2 N Z - T AH0 K - N AA1 - L AH0 - JH IY0 +TRANSTECTOR T R AE2 N Z - T EH1 K - T ER0 +TRANSUE T R AE1 N - Z UW0 +TRANSVAAL T R AE0 N Z - V AA1 L +TRANSVERSE T R AE0 N Z - V ER1 S +TRANSVESTITE T R AE0 N Z - V EH1 - S T AY0 T +TRANSVESTITES T R AE0 N Z - V EH1 - S T AY0 T S +TRANSWAY T R AE1 N Z - W EY2 +TRANSWESTERN T R AE2 N Z - W EH1 - S T ER0 N +TRANSWORLD T R AE0 N S - W ER1 L D +TRANSYLVANIA T R AE2 N - Z IY0 L - V EY1 - N IY0 - AH0 +TRANSYLVANIA(2) T R AE2 N - S IH0 L - V EY1 - N Y AH0 +TRANT T R AE1 N T +TRANTER T R AE1 N - T ER0 +TRANTHAM T R AE1 N - TH AH0 M +TRANUM T R AE1 - N AH0 M +TRANZONIC T R AE0 N - Z AA1 - N IH0 K +TRAP T R AE1 P +TRAPANI T R AA0 - P AA1 - N IY0 +TRAPASSO T R AA0 - P AA1 - S OW0 +TRAPELO T R AH0 - P EH1 - L OW0 +TRAPEZE T R AH0 - P IY1 Z +TRAPHAGEN T R AE1 - F AH0 - G AH0 N +TRAPNELL T R AE1 P - N AH0 L +TRAPP T R AE1 P +TRAPPE T R AE1 P +TRAPPED T R AE1 P T +TRAPPERS T R AE1 - P ER0 Z +TRAPPING T R AE1 - P IH0 NG +TRAPPINGS T R AE1 - P IH0 NG Z +TRAPPIST T R AE1 - P IH0 S T +TRAPS T R AE1 P S +TRASH T R AE1 SH +TRASHED T R AE1 SH T +TRASHES T R AE1 - SH IH0 Z +TRASHING T R AE1 - SH IH0 NG +TRASHY T R AE1 - SH IY0 +TRASK T R AE1 S K +TRAUB T R AO1 B +TRAUDT T R AO1 D T +TRAUGER T R AW1 - G ER0 +TRAUGH T R AO1 +TRAUGHBER T R AO1 - B ER0 +TRAUGOTT T R AW1 - G AH0 T +TRAUM T R AO1 M +TRAUMA T R AO1 - M AH0 +TRAUMAS T R AO1 - M AH0 Z +TRAUMATIC T R AO0 - M AE1 - T IH0 K +TRAUMATIZE T R AO1 - M AH0 - T AY2 Z +TRAUMATIZED T R AO1 - M AH0 - T AY2 Z D +TRAUSCH T R AW1 SH +TRAUT T R AO1 T +TRAUTH T R AO1 TH +TRAUTMAN T R AW1 T - M AH0 N +TRAUTMANN T R AW1 T - M AH0 N +TRAUTNER T R AW1 T - N ER0 +TRAUTWEIN T R AW1 T - W AY2 N +TRAVAGLINI T R AA0 - V AA0 G - L IY1 - N IY0 +TRAVAIL T R AH0 - V EY1 L +TRAVAILS T R AH0 - V EY1 L Z +TRAVEL T R AE1 - V AH0 L +TRAVELDAY T R AE1 - V AH0 L - D EY2 +TRAVELDAYS T R AE1 - V AH0 L - D EY2 Z +TRAVELED T R AE1 - V AH0 L D +TRAVELER T R AE1 - V AH0 - L ER0 +TRAVELER'S T R AE1 - V AH0 - L ER0 Z +TRAVELER(2) T R AE1 V - L ER0 +TRAVELERS T R AE1 - V AH0 - L ER0 Z +TRAVELERS' T R AE1 - V AH0 - L ER0 Z +TRAVELERS(2) T R AE1 V - L ER0 Z +TRAVELGATE T R AE1 - V AH0 L - G EY2 T +TRAVELING T R AE1 - V AH0 L - IH0 NG +TRAVELING(2) T R AE1 - V L IH0 NG +TRAVELLED T R AE1 - V AH0 L D +TRAVELLER T R AE1 - V AH0 - L ER0 +TRAVELLERS T R AE1 - V AH0 - L ER0 Z +TRAVELLING T R AE1 - V AH0 L - IH0 NG +TRAVELLING(2) T R AE1 - V L IH0 NG +TRAVELODGE T R AE1 - V AH0 - L AA1 JH +TRAVELOGUE T R AE1 - V AH0 - L AO2 G +TRAVELS T R AE1 - V AH0 L Z +TRAVELSTEAD T R AE1 - V AH0 L - S T EH2 D +TRAVENOL T R AE1 - V AH0 - N AH0 L +TRAVER T R EY1 - V ER0 +TRAVERS T R AE1 - V ER0 Z +TRAVERSE T R AE1 - V ER0 S +TRAVERSE(2) T R AH0 - V ER1 S +TRAVERSED T R AE1 - V ER0 S T +TRAVERSED(2) T R AH0 - V ER1 S T +TRAVERSING T R AH0 - V ER1 - S IH0 NG +TRAVERSO T R AA0 - V EH1 R - S OW0 +TRAVESTIES T R AE1 - V AH0 - S T IY0 Z +TRAVESTY T R AE1 - V AH0 - S T IY0 +TRAVIATA T R AA0 - V IY0 - AA1 - T AH0 +TRAVIESO T R AA0 - V IY1 - S OW0 +TRAVIS T R AE1 - V IH0 S +TRAVISANO T R AE2 - V IH0 - S AA1 - N OW0 +TRAVNIK T R AE1 V - N IH0 K +TRAVOLTA T R AH0 - V OW1 L - T AH0 +TRAVOLTA'S T R AH0 - V OW1 L - T AH0 Z +TRAVOLTAS T R AH0 - V OW1 L - T AH0 Z +TRAWEEK T R AO1 - IY2 K +TRAWICK T R AO1 - IH0 K +TRAWLER T R AO1 - L ER0 +TRAWLERS T R AO1 - L ER0 Z +TRAX T R AE1 K S +TRAXLER T R AE1 K S - L ER0 +TRAY T R EY1 +TRAYER T R EY1 - ER0 +TRAYLOR T R EY1 - L ER0 +TRAYNHAM T R EY1 N - HH AH0 M +TRAYNOR T R EY1 - N ER0 +TRAYS T R EY1 Z +TRAYWICK T R EY1 - W IH2 K +TRBOVICH T ER0 - B AA1 - V IH0 CH +TREACHEROUS T R EH1 - CH ER0 - AH0 S +TREACHERY T R EH1 - CH ER0 - IY0 +TREACY T R EY1 - S IY0 +TREAD T R EH1 D +TREADAWAY T R EH1 D - AH0 - W EY2 +TREADING T R EH1 - D IH0 NG +TREADMILL T R EH1 D - M IH2 L +TREADMILLS T R EH1 D - M IH2 L Z +TREADS T R EH1 D Z +TREADWAY T R EH1 D - W EY2 +TREADWELL T R EH1 D - W EH2 L +TREADWHEEL T R EH1 D - W IY2 L +TREANOR T R IY1 - N ER0 +TREASE T R IY1 Z +TREASON T R IY1 - Z AH0 N +TREASTER T R IY1 - S T ER0 +TREASURE T R EH1 - ZH ER0 +TREASURED T R EH1 - ZH ER0 D +TREASURER T R EH1 - ZH ER0 - ER0 +TREASURER'S T R EH1 - ZH ER0 - ER0 Z +TREASURERS T R EH1 - ZH ER0 - ER0 Z +TREASURES T R EH1 - ZH ER0 Z +TREASURIES T R EH1 - ZH ER0 - IY0 Z +TREASURY T R EH1 - ZH ER0 - IY0 +TREASURY'S T R EH1 - ZH ER0 - IY0 Z +TREASURYS T R EH1 - ZH ER0 - IY0 Z +TREAT T R IY1 T +TREATABLE T R IY1 - T AH0 - B AH0 L +TREATED T R IY1 - T AH0 D +TREATED(2) T R IY1 - T IH0 D +TREATER T R IY1 - T ER0 +TREATERS T R IY1 - T ER0 Z +TREATIES T R IY1 - T IY0 Z +TREATING T R IY1 - T IH0 NG +TREATISE T R IY1 - T AH0 S +TREATISES T R IY1 - T AH0 - S AH0 Z +TREATMENT T R IY1 T - M AH0 N T +TREATMENTS T R IY1 T - M AH0 N T S +TREATS T R IY1 T S +TREATY T R IY1 - T IY0 +TREATY'S T R IY1 - T IY0 Z +TREBILCOCK T R IH0 - B IH1 L - K AH0 K +TREBLE T R EH1 - B AH0 L +TREBLED T R EH1 - B AH0 L D +TREBLINKA T R EH0 B - L IH1 NG - K ER0 +TREBLINKA(2) T R EH0 B - L IH1 NG - K AH0 +TRECKER T R EH1 - K ER0 +TREDER T R IY1 - D ER0 +TREDWAY T R EH1 D - W EY2 +TREE T R IY1 +TREECE T R IY1 S +TREELESS T R IY1 - L AH0 S +TREEN T R IY1 N +TREES T R IY1 Z +TREESE T R IY1 Z +TREESH T R IY1 SH +TREESWEET T R IY1 S - W IY2 T +TREETOP T R IY1 - T AO2 P +TREETOPS T R IY1 - T AO2 P S +TREFETHEN T R EH1 - F IH0 - TH AH0 N +TREFGARNE T R EH1 F - G AA0 R N +TREFRY T R EH1 - F R IY0 +TREFZ T R EH1 F Z +TREGLIA T R EH1 G - L IY0 - AH0 +TREGO T R EH1 - G OW0 +TREGONING T R EH1 - G AH0 - N IH0 NG +TREGRE T R EH1 - G ER0 +TREGURTHA T R EH0 - G ER1 - TH AH0 +TREHARNE T R EH1 - HH AA0 R N +TREIBER T R AY1 - B ER0 +TREICHEL T R AY1 - K AH0 +TREICHLER T R AY1 - K AH0 - L ER0 +TREICHLER(2) T R AY1 - K L ER0 +TREINEN T R AY1 - N AH0 N +TREJO T R EY1 - Y OW0 +TREK T R EH1 K +TREKKED T R EH1 K T +TREKKING T R EH1 - K IH0 NG +TREKS T R EH1 K S +TRELA T R EH1 - L AH0 +TRELLA T R EH1 - L AH0 +TRELLEBORG T R EH1 - L AH0 - B AO0 R G +TRELLEBORG'S T R EH1 - L AH0 - B AO0 R G Z +TRELLIS T R EH1 - L AH0 S +TRELOAR T R EH1 - L AO0 R +TREMAIN T R EH1 - M AY0 N +TREMAINE T R IH0 - M EY1 N +TREMAYNE T R EH1 - M EY0 N +TREMBATH T R EH1 M - B AH0 TH +TREMBLAY T R EH1 M - B L EY0 +TREMBLE T R EH1 M - B AH0 L +TREMBLED T R EH1 M - B AH0 L D +TREMBLEY T R EH1 M - B L IY0 +TREMBLING T R EH1 M - B AH0 L - IH0 NG +TREMBLING(2) T R EH1 M - B L IH0 NG +TREMBLY T R EH1 M - B L IY0 +TREMEL T R EH1 - M AH0 L +TREMENDOUS T R AH0 - M EH1 N - D AH0 S +TREMENDOUS(2) T R IH0 - M EH1 N - D AH0 S +TREMENDOUSLY T R AH0 - M EH1 N - D AH0 S - L IY0 +TREMENDOUSLY(2) T R IH0 - M EH1 N - D AH0 S - L IY0 +TREMENS T R EH1 - M AH0 N Z +TREML T R EH1 - M AH0 L +TREMMEL T R EH1 - M AH0 L +TREMONT T R EH1 - M AH0 N T +TREMOR T R EH1 - M ER0 +TREMORS T R EH1 - M ER0 Z +TREMPER T R EH1 M - P ER0 +TREMULOUS T R EH1 - M Y AH0 - L AH0 S +TREMULOUSLY T R EH1 - M Y AH0 - L AH0 S - L IY0 +TRENARY T R EH1 - N EH0 - R IY0 +TRENCH T R EH1 N CH +TRENCHANT T R EH1 N - CH AH0 N T +TRENCHARD T R EH1 NG - K ER0 D +TRENCHER T R EH1 N - CH ER0 +TRENCHES T R EH1 N - CH IH0 Z +TREND T R EH1 N D +TRENDED T R EH1 N - D IH0 D +TRENDIER T R EH1 N - D Y ER0 +TRENDIER(2) T R EH1 N - D IY0 - ER0 +TRENDIEST T R EH0 N - D IY1 S T +TRENDIEST(2) T R EH1 N - D IY0 - AH0 S T +TRENDING T R EH1 N - D IH0 NG +TRENDLESS T R EH1 N D - L AH0 S +TRENDLINE T R EH1 N D - L AY2 N +TRENDS T R EH1 N D Z +TRENDS(2) T R EH1 N Z +TRENDSETTER T R EH1 N D - S EH2 - T ER0 +TRENDY T R EH1 N - D IY0 +TRENHOLM T R EH1 N - HH OW2 L M +TRENKAMP T R EH1 N - K AE2 M P +TRENKLE T R EH1 NG - K AH0 L +TRENT T R EH1 N T +TRENT'S T R EH1 N T S +TRENTE-ET-QUARANTE T R EY1 N - T EY0 - K W AA2 - R EH1 N - T EY0 +TRENTHAM T R EH1 N - TH AH0 M +TRENTMAN T R EH1 N T - M AH0 N +TRENTON T R EH1 N - T AH0 N +TRENTON'S T R EH1 N - T AH0 N Z +TREON T R IY1 - AH0 N +TREPAGNIER T R EH1 - P AH0 G - N IY0 - ER0 +TREPANIER T R EH1 - P AH0 - N IY0 - ER0 +TREPIDATION T R EH2 - P IH0 - D EY1 - SH AH0 N +TREPPEL T R EH1 - P AH0 L +TREPTOW T R EH1 P - T OW0 +TRESCH T R EH1 SH +TRESCOTT T R EH1 S - K AH0 T +TRESPASS T R EH1 S - P AE2 S +TRESPASS(2) T R EH1 S - P AH0 S +TRESPASSING T R EH1 S - P AE2 - S IH0 NG +TRESPASSING(2) T R EH1 S - P AH0 - S IH0 NG +TRESS T R EH1 S +TRESSEL T R EH1 - S AH0 L +TRESSES T R EH1 - S IH0 Z +TRESSLER T R EH1 S - L ER0 +TREST T R EH1 S T +TRESTER T R EH1 - S T ER0 +TRESTLE T R EH1 - S AH0 L +TRETHEWEY T R EH1 - TH Y UW0 - IY0 +TRETINOIN T R EH1 - T IH0 - N OY2 N +TRETTEL T R EH1 - T AH0 L +TRETTER T R EH1 - T ER0 +TRETTIN T R EH1 - T IH0 N +TREU T R UW1 +TREUHAND T R UW1 - HH AE2 N D +TREUHANDANSTALT T R UW2 - HH AE1 N - D AH0 N - S T AA2 L T +TREURNICHT T R UW1 R - N IH0 K T +TREVATHAN T R EH1 - V AH0 - TH AH0 N +TREVELYAN T R AH0 - V EH1 L - Y AH0 N +TREVINO T R AH0 - V IY1 - N OW0 +TREVISO T R EH0 - V IY1 - S OW0 +TREVIZO T R EH0 - V IY1 - Z OW0 +TREVOR T R EH1 - V ER0 +TREW T R UW1 +TREXLER T R EH1 K S - L ER0 +TREY T R EY1 +TREYBIG T R EY1 - B IH0 G +TREZISE T R EH1 - Z AY0 Z +TREZZA T R EH1 - Z AH0 +TRI T R AY1 +TRI-STATE T R AY1 - S T EY1 T +TRIAD T R AY1 - AE2 D +TRIAD'S T R AY1 - AE2 D Z +TRIADS T R AY1 - AE2 D Z +TRIAGE T R AY1 - IH0 JH +TRIAL T R AY1 - AH0 L +TRIAL'S T R AY1 - AH0 L Z +TRIAL(2) T R AY1 L +TRIALS T R AY1 - AH0 L Z +TRIALS(2) T R AY1 L Z +TRIANA T R IY0 - AE1 - N AH0 +TRIANGLE T R AY1 - AE2 NG - G AH0 L +TRIANGLE'S T R AY1 - AE2 NG - G AH0 L Z +TRIANGLES T R AY1 - AE2 NG - G AH0 L Z +TRIANGULAR T R AY0 - AE1 NG - G Y AH0 - L ER0 +TRIANGULATION T R AY0 - AE2 NG - G Y UW0 - L EY1 - SH AH0 N +TRIANO T R IY0 - AA1 - N OW0 +TRIARC T R AY1 - AA2 R K +TRIATHLON T R AY2 - AE1 TH - L AH0 N +TRIB T R IH1 B +TRIBAL T R AY1 - B AH0 L +TRIBALISM T R AY1 - B AH0 - L IH0 Z M +TRIBALISM(2) T R AY1 - B AH0 - L IH0 - Z AH0 M +TRIBASA T R AY1 - B AE1 - S AH0 +TRIBBETT T R IH1 - B IH0 T +TRIBBEY T R IH1 - B IY0 +TRIBBLE T R IH1 - B AH0 L +TRIBBLES T R IH1 - B AH0 L Z +TRIBBY T R IH1 - B IY0 +TRIBE T R AY1 B +TRIBE'S T R AY1 B Z +TRIBECA T R IH0 - B EH1 - K AH0 +TRIBES T R AY1 B Z +TRIBESMAN T R AY1 B Z - M AE0 N +TRIBESMEN T R AY1 B Z - M IH0 N +TRIBLE T R IH1 - B AH0 L +TRIBOROUGH T R AY1 - B ER0 - OW0 +TRIBULATION T R IH2 - B Y AH0 - L EY1 - SH AH0 N +TRIBULATIONS T R IH2 - B Y AH0 - L EY1 - SH AH0 N Z +TRIBULL T R IH1 - B AH0 L +TRIBUNAL T R AH0 - B Y UW1 - N AH0 L +TRIBUNALS T R AY2 - B Y UW1 - N AH0 L Z +TRIBUNE T R IH1 - B Y UW0 N +TRIBUNE'S T R IH1 - B Y UW0 N Z +TRIBUTARIES T R IH1 - B Y AH0 - T EH2 - R IY0 Z +TRIBUTARY T R IH1 - B Y AH0 - T EH2 - R IY0 +TRIBUTE T R IH1 - B Y UW0 T +TRIBUTES T R IH1 - B Y UW0 T S +TRICARICO T R IY0 - K AA0 - R IY1 - K OW0 +TRICE T R AY1 S +TRICENTROL T R AY2 - S EH1 N - T R AA0 L +TRICENTROL'S T R AY2 - S EH1 N - T R AA0 L Z +TRICEPS T R AY1 - S EH2 P S +TRICERATOPS T R AY2 - S EH1 - R AH0 - T AO2 P S +TRICHE T R IH1 CH +TRICHET T R IH1 - CH IH0 T +TRICIA T R IH1 - SH AH0 +TRICIA'S T R IH1 - SH AH0 Z +TRICIL T R IH1 - S IH0 L +TRICK T R IH1 K +TRICKED T R IH1 K T +TRICKEL T R IH1 - K AH0 L +TRICKERY T R IH1 - K ER0 - IY0 +TRICKETT T R IH1 - K IH0 T +TRICKEY T R IH1 - K IY0 +TRICKIER T R IH1 - K IY0 - ER0 +TRICKIEST T R IH1 - K IY0 - AH0 S T +TRICKING T R IH1 - K IH0 NG +TRICKLE T R IH1 - K AH0 L +TRICKLED T R IH1 - K AH0 L D +TRICKLES T R IH1 - K AH0 L Z +TRICKLING T R IH1 - K L IH0 NG +TRICKS T R IH1 K S +TRICKSTER T R IH1 K - S T ER0 +TRICKSTERS T R IH1 K - S T ER0 Z +TRICKY T R IH1 - K IY0 +TRICO T R IY1 - K OW0 +TRICUSPID T R AY0 - K AH1 - S P AH0 D +TRICYCLE T R IH1 - S IH0 - K AH0 L +TRIDENT T R AY1 - D AH0 N T +TRIDEX T R IH1 - D EH2 K S +TRIED T R AY1 D +TRIENNIAL T R AY0 - EH1 - N IY0 - AH0 L +TRIER T R AY1 - ER0 +TRIERWEILER T R IH1 R - W AY0 - L ER0 +TRIES T R AY1 Z +TRIESTE T R IY1 S T +TRIEU T R UW1 +TRIFARI T R IH0 - F AA1 - R IY0 +TRIFLE T R AY1 - F AH0 L +TRIFLES T R AY1 - F AH0 L Z +TRIFLING T R AY1 - F L IH0 NG +TRIG T R IH1 G +TRIGG T R IH1 G +TRIGGER T R IH1 - G ER0 +TRIGGERED T R IH1 - G ER0 D +TRIGGERING T R IH1 - G ER0 - IH0 NG +TRIGGERS T R IH1 - G ER0 Z +TRIGGS T R IH1 G Z +TRIGLYCERIDE T R AY0 - G L IH1 - S ER0 - AY2 D +TRIGLYCERIDES T R AY0 - G L IH1 - S ER0 - AY2 D Z +TRIGO T R IY1 - G OW0 +TRILATERAL T R AY0 - L AE1 - T ER0 - AH0 L +TRILBY T R IH1 L - B IY0 +TRILL T R IH1 L +TRILLIN T R IH1 - L IH0 N +TRILLING T R IH1 - L IH0 NG +TRILLION T R IH1 - L Y AH0 N +TRILLIONS T R IH1 - L Y AH0 N Z +TRILLO T R IH1 - L OW0 +TRILOGY T R IH1 - L AH0 - JH IY0 +TRILON T R IH1 - L AH0 N +TRIM T R IH1 M +TRIMAC T R IH1 - M AE0 K +TRIMARCHI T R IY0 - M AA1 R - K IY0 +TRIMARCO T R IH0 - M AA1 R - K OW0 +TRIMAS T R IY1 - M AH0 S +TRIMBLE T R IH1 M - B AH0 L +TRIMBOLI T R IY0 M - B OW1 - L IY0 +TRIMEDYNE T R AY1 M - D AY2 N +TRIMESTER T R AY0 - M EH1 - S T ER0 +TRIMETREXATE T R IH0 - M EH1 - T R AH0 K - S EY2 T +TRIMM T R IH1 M +TRIMMED T R IH1 M D +TRIMMER T R IH1 - M ER0 +TRIMMERS T R IH1 - M ER0 Z +TRIMMING T R IH1 - M IH0 NG +TRIMMINGS T R IH1 - M IH0 NG Z +TRIMPE T R IH1 M P +TRIMS T R IH1 M Z +TRINCOMALEE T R IH0 NG - K OW1 - M AH0 - L IY0 +TRINE T R AY1 N +TRINGALI T R IH0 NG - G AA1 - L IY0 +TRINH T R IH1 N +TRINIDAD T R IH1 - N IH0 - D AE2 D +TRINITY T R IH1 - N AH0 - T IY0 +TRINITY'S T R IH1 - N IH0 - T IY0 Z +TRINITY(2) T R IH1 - N IH0 - T IY0 +TRINKA T R IH1 NG - K AH0 +TRINKET T R IH1 NG - K AH0 T +TRINKETS T R IH1 NG - K AH0 T S +TRINKLE T R IH1 NG - K AH0 L +TRINOVA T R AY2 - N OW1 - V AH0 +TRINTEX T R IH1 N - T EH2 K S +TRIO T R IY1 - OW2 +TRIO'S T R IY1 - OW2 Z +TRIOLA T R IY0 - OW1 - L AH0 +TRIOLO T R IY0 - OW1 - L OW0 +TRIOMPHE T R IY0 - OW1 M F +TRIP T R IH1 P +TRIP'S T R IH1 P S +TRIPARTITE T R AY0 - P AA1 R - T AY2 T +TRIPE T R AY1 P +TRIPI T R IY1 - P IY0 +TRIPLE T R IH1 - P AH0 L +TRIPLECAST T R IH1 - P AH0 L - K AE2 S T +TRIPLED T R IH1 - P AH0 L D +TRIPLES T R IH1 - P AH0 L Z +TRIPLET T R IH1 - P L AH0 T +TRIPLETS T R IH1 - P L AH0 T S +TRIPLETT T R IH1 - P L IH0 T +TRIPLICATE T R IH1 - P L IH0 - K AH0 T +TRIPLING T R IH1 - P AH0 L - IH0 NG +TRIPLING(2) T R IH1 - P L IH0 NG +TRIPOD T R AY1 - P AA2 D +TRIPODI T R IY0 - P OW1 - D IY0 +TRIPODS T R AY1 - P AA2 D Z +TRIPOLI T R IH1 - P AH0 - L IY0 +TRIPOLI'S T R IH1 - P AH0 - L IY0 Z +TRIPP T R IH1 P +TRIPPE T R IH1 P +TRIPPED T R IH1 P T +TRIPPEL T R IH1 - P AH0 L +TRIPPER T R IH1 - P ER0 +TRIPPERS T R IH1 - P ER0 Z +TRIPPETT T R IH1 - P IH0 T +TRIPPING T R IH1 - P IH0 NG +TRIPPLE T R IH1 - P AH0 L +TRIPS T R IH1 P S +TRIPTYCH T R IH1 P - T IH0 K +TRIREMES T R AY1 - R IY2 M Z +TRISH T R IH1 SH +TRISHA T R IH1 - SH AH0 +TRISHA'S T R IH1 - SH AH0 Z +TRISKA T R IH1 - S K AH0 +TRISLER T R IH1 - S AH0 - L ER0 +TRISLER(2) T R IH1 S - L ER0 +TRISM T R IH1 - Z AH0 M +TRISTA T R IH1 - S T AH0 +TRISTAN T R IH1 - S T AE2 N +TRISTAR T R AY1 - S T AA2 R +TRISTATE T R AY1 - S T EY2 T +TRISTRAM T R IH1 S - T R AH0 M +TRITCH T R IH1 CH +TRITE T R AY1 T +TRITES T R AY1 T S +TRITIUM T R IH1 - T IY0 - AH0 M +TRITON T R AY1 - T AH0 N +TRITON'S T R AY1 - T AH0 N Z +TRITSCH T R IH1 CH +TRITSCHLER T R IH1 CH - L ER0 +TRITT T R IH1 T +TRITZ T R IH1 T S +TRIUMPH T R AY1 - AH0 M F +TRIUMPHAL T R AY0 - AH1 M - F AH0 L +TRIUMPHANT T R AY0 - AH1 M - F AH0 N T +TRIUMPHANTLY T R AY0 - AH1 M - F AH0 N T - L IY0 +TRIUMPHED T R AY1 - AH0 M F T +TRIUMPHS T R AY1 - AH0 M F S +TRIUMVIRATE T R AY0 - AH1 M - V ER0 - AH0 T +TRIVEDI T R IY0 - V EH1 - D IY0 +TRIVEST T R IH1 - V AH0 S T +TRIVEST(2) T R AY1 - V EH2 S T +TRIVETT T R IH1 - V IH0 T +TRIVETTE T R IH0 - V EH1 T +TRIVIA T R IH1 - V IY0 - AH0 +TRIVIAL T R IH1 - V IY0 - AH0 L +TRIVIALITY T R IH2 - V IY0 - AE1 - L AH0 - T IY0 +TRIVIALIZE T R IH1 - V IY0 - AH0 - L AY2 Z +TRIVIALIZE(2) T R IH1 - V Y AH0 - L AY2 Z +TRIVIALIZED T R IH1 - V IY0 - AH0 - L AY2 Z D +TRIVIALIZED(2) T R IH1 - V Y AH0 - L AY2 Z D +TRIVIALIZES T R IH1 - V IY0 - AH0 - L AY2 - Z IH0 Z +TRIVIALIZES(2) T R IH1 - V Y AH0 - L AY2 - Z IH0 Z +TRIVIALIZING T R IH1 - V IY0 - AH0 - L AY2 - Z IH0 NG +TRIVIALIZING(2) T R IH1 - V Y AH0 - L AY2 - Z IH0 NG +TRIXIE T R IH1 K - S IY0 +TRIXY T R IH1 K - S IY0 +TRIZEC T R IH1 - Z AH0 K +TRIZEC'S T R IH1 - Z EH0 K S +TRNKA T R IH1 NG - K AH0 +TRNKA T R NG K AA1 +TRNOPOLJE T R AH0 - N AO1 - P AO0 - L IY0 +TRNOPOLJE(2) T R AH0 - N AO1 - P AO0 L - Y IY0 +TROBAUGH T R AA1 - B AO0 +TROCHE T R AA1 CH +TROCHMANN T R AA1 CH - M AE0 N +TROCHMANN(2) T R AA1 K - M AE0 N +TROCKI T R AA1 - K IY0 +TROD T R AA1 D +TROEGER T R OW1 - G ER0 +TROENDLE T R OW1 N - D AH0 L +TROESTER T R OW1 - S T ER0 +TROGDON T R AA1 G - D AH0 N +TROHA T R OW1 - HH AH0 +TROIA T R OW1 - Y AH0 +TROIANI T R OW0 - Y AA1 - N IY0 +TROIANO T R OW0 - IY0 - AA1 - N OW0 +TROIKA T R OY1 - K AH0 +TROIS T W AA1 +TROISE T R OY1 Z +TROISI T R OY1 - S IY0 +TROJAN T R OW1 - JH AH0 N +TROJANOWSKI T R AH0 - Y AH0 - N AO1 F S - K IY0 +TROJANS T R OW1 - JH AH0 N Z +TROKEL T R OW1 - K AH0 L +TROLINGER T R OW1 - L IH0 - NG ER0 +TROLL T R OW1 L +TROLLEY T R AA1 - L IY0 +TROLLEYS T R AA1 - L IY0 Z +TROLLING T R OW1 - L IH0 NG +TROLLINGER T R OW1 - L IH0 - NG ER0 +TROMA T R OW1 - M AH0 +TROMBINO T R OW0 M - B IY1 - N OW0 +TROMBLEY T R AA1 M - B L IY0 +TROMBLY T R AA1 M - B L IY0 +TROMBONE T R AA0 M - B OW1 N +TROMBONES T R AA0 M - B OW1 N Z +TROMBONIST T R AA2 M - B OW1 - N IH0 S T +TROMP T R AA1 M P +TROMPETER T R AA1 M P - IY0 - T ER0 +TRON T R AA1 N +TRONCOSO T R OW0 N - K OW1 - S OW0 +TRONE T R OW1 N +TRONIC T R AA1 - N IH0 K +TROON T R UW1 N +TROOP T R UW1 P +TROOP'S T R UW1 P S +TROOPED T R UW1 P T +TROOPER T R UW1 - P ER0 +TROOPER'S T R UW1 - P ER0 Z +TROOPERS T R UW1 - P ER0 Z +TROOPERS' T R UW1 - P ER0 Z +TROOPING T R UW1 - P IH0 NG +TROOPS T R UW1 P S +TROOPS' T R UW1 P S +TROOST T R UW1 S T +TROPEA T R OW1 - P IY0 - AH0 +TROPEANO T R OW2 - P IY1 - N OW0 +TROPHIES T R OW1 - F IY0 Z +TROPHY T R OW1 - F IY0 +TROPIC T R AA1 - P IH0 K +TROPICAL T R AA1 - P IH0 - K AH0 L +TROPICANA T R AA2 - P IH0 - K AE1 - N AH0 +TROPICANA'S T R AA2 - P IH0 - K AE1 - N AH0 Z +TROPICS T R AA1 - P IH0 K S +TROPOPAUSE T R AA1 - P AH0 - P AO2 Z +TROPP T R AA1 P +TROPWORLD T R AA1 P - W ER0 L D +TROSCH T R AA1 SH +TROSCLAIR T R AH0 S - K L EH1 R +TROSPER T R AA1 - S P ER0 +TROST T R AA1 S T +TROSTEL T R AA1 - S T AH0 L +TROSTLE T R AA1 - S AH0 L +TROT T R AA1 T +TROTH T R OW1 TH +TROTH(2) T R AO1 TH +TROTMAN T R AA1 T - M AH0 N +TROTS T R AA1 T S +TROTSKY T R AA1 T S - K IY2 +TROTT T R AA1 T +TROTTED T R AA1 - T AH0 D +TROTTED(2) T R AA1 - T IH0 D +TROTTEN T R AA1 - T AH0 N +TROTTER T R AA1 - T ER0 +TROTTIER T R AA1 - T IY0 - ER0 +TROTTING T R AA1 - T IH0 NG +TROUBADOUR T R UW1 - B AH0 - D AO2 R +TROUBH T R UW1 B +TROUBLE T R AH1 - B AH0 L +TROUBLED T R AH1 - B AH0 L D +TROUBLEFIELD T R AH1 - B AH0 L - F IY2 L D +TROUBLEMAKER T R AH1 - B AH0 L - M EY2 - K ER0 +TROUBLEMAKERS T R AH1 - B AH0 L - M EY2 - K ER0 Z +TROUBLES T R AH1 - B AH0 L Z +TROUBLESHOOTER T R AH1 - B AH0 L - SH UW2 - T ER0 +TROUBLESOME T R AH1 - B AH0 L - S AH0 M +TROUBLING T R AH1 - B AH0 L - IH0 NG +TROUBLING(2) T R AH1 - B L IH0 NG +TROUDT T R AW1 D T +TROUGH T R AO1 F +TROUGHS T R AO1 F S +TROUNCE T R AW1 N S +TROUNCED T R AW1 N S T +TROUNCING T R AW1 N - S IH0 NG +TROUNG T R AW1 NG +TROUP T R UW1 P +TROUPE T R UW1 P +TROUPE'S T R UW1 P S +TROUPES T R UW1 P S +TROUSDALE T ER1 - AH0 S - D EY0 L +TROUSER T R AW1 - Z ER0 +TROUSERS T R AW1 - Z ER0 Z +TROUT T R AW1 T +TROUT'S T R AW1 T S +TROUTMAN T R AW1 T - M AH0 N +TROUTNER T R AW1 T - N ER0 +TROUTT T R AW1 T +TROUTWINE T R AW1 T - W AY2 N +TROVATO T R OW0 - V AA1 - T OW0 +TROVATORE T R OW1 - V AH0 - T AO2 R +TROVE T R OW1 V +TROW T R OW1 +TROWBRIDGE T R OW1 - B R IH0 JH +TROWEL T R AW1 W - EH0 L +TROWELL T R AA1 - W EH0 L +TROWER T R AW1 - ER0 +TROXEL T R AA1 K - S AH0 L +TROXELL T R AA1 K - S AH0 L +TROXLER T R AA1 K S - L ER0 +TROY T R OY1 +TROYAN T R OY1 - AH0 N +TROYANOS T R OY2 - AA1 - N OW0 S +TROYAT T R OY1 - AE0 T +TROYER T R OY1 - ER0 +TROYKA T R OY1 - K AH0 +TROYU T R OY0 - UW1 +TRUANCY T R UW1 - AH0 N - S IY0 +TRUANT T R UW1 - AH0 N T +TRUAX T R UW1 - AE0 K S +TRUBEY T R UW1 - B IY0 +TRUBY T R UW1 - B IY0 +TRUCCO T R UW1 - K OW0 +TRUCE T R UW1 S +TRUCHAN T R AH1 - CH AH0 N +TRUCK T R AH1 K +TRUCK'S T R AH1 K S +TRUCKED T R AH1 K T +TRUCKEE T R AH1 - K IY0 +TRUCKER T R AH1 - K ER0 +TRUCKERS T R AH1 - K ER0 Z +TRUCKERS' T R AH1 - K ER0 Z +TRUCKING T R AH1 - K IH0 NG +TRUCKLOAD T R AH1 - K L OW2 D +TRUCKLOADS T R AH1 - K L OW2 D Z +TRUCKS T R AH1 K S +TRUCKS' T R AH1 K S +TRUCULENT T R AH1 - K Y AH0 - L AH0 N T +TRUDA T R UW1 - D AH0 +TRUDE T R UW1 D +TRUDEAU T R UW0 - D OW1 +TRUDEL T R UW1 - D AH0 L +TRUDELL T R AH1 - D AH0 L +TRUDGE T R AH1 JH +TRUDGED T R AH1 JH D +TRUDGEN T R AH1 - JH AH0 N +TRUDGES T R AH1 - JH IH0 Z +TRUDGING T R AH1 - JH IH0 NG +TRUDIA T R UW1 - D IY0 - AH0 +TRUDIE T R UW1 - D IY0 +TRUDO T R UW1 - D OW0 +TRUDY T R UW1 - D IY0 +TRUE T R UW1 +TRUE-VIEW T R UW1 - V Y UW1 +TRUEBLOOD T R UW1 - B L AH2 D +TRUELL T R UW1 - AH0 L +TRUELOVE T R UW1 - L AH2 V +TRUEMAN T R UH1 - M AH0 N +TRUER T R UW1 - ER0 +TRUESDALE T R UW1 Z - D EY2 L +TRUESDELL T R UW1 Z - D EH2 L +TRUEST T R UW1 - IH0 S T +TRUETT T R UW1 T +TRUEX T R UW1 - EH2 K S +TRUFFAUT T R UW0 - F OW1 +TRUFFAUT'S T R UW0 - F OW1 Z +TRUFFLE T R AH1 - F AH0 L +TRUFFLES T R AH1 - F AH0 L Z +TRUGLIO T R AH1 G - L IY0 - OW0 +TRUICKO T R UW1 - K OW0 +TRUICKO(2) T R UW2 - IY1 - K OW0 +TRUISM T R UW1 - IH0 - Z AH0 M +TRUITT T R UW1 T +TRUJILLO T R UW0 - HH IY1 - OW0 +TRULL T R AH1 L +TRULLINGER T R AH1 L - IH0 - NG ER0 +TRULOCK T R AH1 - L AH0 K +TRULOVE T R UW0 - L OW1 - V IY0 +TRULSON T R AH1 L - S AH0 N +TRULUCK T R AH1 - L AH0 K +TRULY T R UW1 - L IY0 +TRUMAN T R UW1 - M AH0 N +TRUMAN'S T R UW1 - M AH0 N Z +TRUMBLE T R AH1 M - B AH0 L +TRUMBO T R AH1 M - B OW0 +TRUMBULL T R AH1 M - B AH0 L +TRUMKA T R AH1 M - K AH0 +TRUMP T R AH1 M P +TRUMP'S T R AH1 M P S +TRUMPED T R AH1 M P T +TRUMPET T R AH1 M - P AH0 T +TRUMPETED T R AH1 M - P AH0 - T IH0 D +TRUMPETER T R AH1 M - P AH0 - T ER0 +TRUMPETING T R AH1 M - P AH0 - T IH0 NG +TRUMPETS T R AH1 M - P AH0 T S +TRUMPOWER T R AH1 M - P OW2 - ER0 +TRUMPS T R AH1 M P S +TRUNCATE T R AH1 NG - K EY2 T +TRUNCATED T R AH1 NG - K EY2 - T IH0 D +TRUNCHEON T R AH1 N - CH IH0 N +TRUNCHEONS T R AH1 N - CH IH0 N Z +TRUNDLE T R AH1 N - D AH0 L +TRUNDLED T R AH1 N - D AH0 L D +TRUNK T R AH1 NG K +TRUNKLINE T R AH1 NG - K L AY2 N +TRUNKS T R AH1 NG K S +TRUNNELL T R AH1 - N AH0 L +TRUNZO T R AH1 N - Z OW0 +TRUONG T R AO1 NG +TRUPIANO T R UW0 - P IY0 - AA1 - N OW0 +TRUPIN T R UW1 - P IH0 N +TRUPIN'S T R UW1 - P IH0 N Z +TRUPP T R AH1 P +TRURO T R UW1 - R OW0 +TRUS T R AH1 S +TRUSCOTT T R AH1 - S K AH0 T +TRUSKOWSKI T R AH0 S K - AO1 F S - K IY0 +TRUSLER T R AH1 - S AH0 - L ER0 +TRUSLER(2) T R AH1 S - L ER0 +TRUSLOW T R AH1 - S L OW0 +TRUSS T R AH1 S +TRUSSELL T R AH1 - S AH0 L +TRUSSES T R AH1 - S IH0 Z +TRUST T R AH1 S T +TRUST'S T R AH1 S T S +TRUSTCO T R AH1 S T - K OW0 +TRUSTCORP T R AH1 S T - K AO0 R P +TRUSTED T R AH1 - S T IH0 D +TRUSTEE T R AH2 - S T IY1 +TRUSTEE'S T R AH2 - S T IY1 Z +TRUSTEES T R AH2 - S T IY1 Z +TRUSTEES' T R AH2 - S T IY1 Z +TRUSTEESHIP T R AH2 - S T IY1 - SH IH2 P +TRUSTHOUSE T R AH1 S T - HH AW2 S +TRUSTING T R AH1 - S T IH0 NG +TRUSTS T R AH1 S T S +TRUSTS' T R AH1 S T S +TRUSTWORTHINESS T R AH1 S T - W ER2 - DH IY0 - N AH0 S +TRUSTWORTHY T R AH1 S T - W ER2 - DH IY0 +TRUSTY T R AH1 - S T IY0 +TRUSZKOWSKI T R AH0 SH - K AO1 F S - K IY0 +TRUTH T R UW1 TH +TRUTHFUL T R UW1 TH - F AH0 L +TRUTHFULLY T R UW1 TH - F AH0 - L IY0 +TRUTHFULNESS T R UW1 TH - F AH0 L - N AH0 S +TRUTHS T R UW1 TH S +TRUXAL T R AH1 K - S AH0 L +TRUXILLO T R AH2 K - S IH1 - L OW0 +TRY T R AY1 +TRY-ON T R AY1 - AA1 N +TRY-ONS T R AY1 - AA1 N Z +TRYART T R AY1 - AA2 R T +TRYBA T R IH1 - B AH0 +TRYBUS T R IH1 - B IH0 S +TRYGG T R IH1 G +TRYGSTAD T R IH1 G - S T AH0 D +TRYGVE T R IH1 G - V IY0 +TRYIN' T R AY1 - IH0 N +TRYING T R AY1 - IH0 NG +TRYING(2) T R AY1 NG +TRYON T R AY1 - AH0 N +TRYOUT T R AY1 - AW2 T +TRYOUTS T R AY1 - AW2 T S +TRYPHENA T R IH1 - F IH0 - N AH0 +TRYST T R AY1 S T +TRZASKA T ER0 - Z AA1 - S K AH0 +TRZCINSKI T ER0 - ZH IH1 N - S K IY0 +TRZECIAK T ER0 - Z EH1 - CH IY0 - AE0 K +TS T IY1 - EH1 S +TSAI T S AY1 +TSAI'S T S AY1 Z +TSAI'S(2) S AY1 Z +TSAI(2) S AY1 +TSAKOS T S AA1 - K OW0 S +TSANG T S AE1 NG +TSANG(2) S AE1 NG +TSAO T S AW1 +TSAO(2) S AW1 +TSAR Z AA1 R +TSAR(2) T S AA1 R +TSCHANTZ CH AE1 N T S +TSCHETTER CH EH1 - T ER0 +TSCHIDA CH AY1 - D AH0 +TSCHIRHART CH ER1 - HH AA0 R T +TSCHOPP CH AA1 P +TSCHUDY CH UW1 - D IY0 +TSCHUMI CH UW1 - M IY0 +TSE T S IY1 +TSE(2) S IY1 +TSEMEL T S EH1 - M AH0 L +TSENG T S EH1 NG +TSENG(2) S EH1 NG +TSETSE T S IY1 - T S IY0 +TSETSE(2) T IY1 T - S IY0 +TSIANG T S Y AE1 NG +TSINGTAO S IH1 NG - T AW2 +TSINGTAO(2) T S IH1 NG - D AW2 +TSO T S OW1 +TSO(2) S OW1 +TSONGAS T S AO1 NG - G AH0 S +TSONGAS' T S AO1 NG - G AH0 S +TSONGAS'(2) S AO1 NG - G AH0 S +TSONGAS'S T S AO1 NG - G AH0 - S AH0 Z +TSONGAS'S(2) S AO1 NG - G AH0 - S AH0 Z +TSONGAS(2) S AO1 NG - G AH0 S +TSUDA T S UW1 - D AH0 +TSUDA(2) S UW1 - D AH0 +TSUI T S UW1 - IY0 +TSUI(2) S UW1 - IY0 +TSUJI T S UW1 - JH IY0 +TSUJI(2) S UW1 - JH IY0 +TSUKAMOTO T S UW0 - K AA0 - M OW1 - T OW0 +TSUKAMOTO(2) S UW0 - K AA0 - M OW1 - T OW0 +TSUKUBA T S UW2 - K Y UW1 - B AH0 +TSUKUBA(2) S UW2 - K Y UW1 - B AH0 +TSUNAMI T S UW0 - N AA1 - M IY0 +TSUNAMI(2) S UW0 - N AA1 - M IY0 +TSUNEO T S UW1 - N IY0 - OW0 +TSUNEO(2) S UW1 - N IY0 - OW0 +TSURUMI T S UW0 - R UW1 - M IY0 +TSURUMI(2) S UW0 - R UW1 - M IY0 +TSUTOMU T S UW0 - T OW1 - M UW0 +TT'S T IY1 - T IY1 Z +TU T UW1 +TUB T AH1 B +TUBA T UW1 - B AH0 +TUBAL T UW1 - B AH0 L +TUBB T AH1 B +TUBBS T AH1 B Z +TUBBY T AH1 - B IY0 +TUBE T UW1 B +TUBE(2) T Y UW1 B +TUBERCULOSIS T AH0 - B ER2 - K Y AH0 - L OW1 - S IH0 S +TUBERCULOSIS(2) T UW0 - B ER2 - K Y AH0 - L OW1 - S AH0 S +TUBERCULOSIS(3) T UW0 - B ER2 - K Y UW0 - L OW1 - S AH0 S +TUBERVILLE T UW1 - B ER0 - V IH2 L +TUBES T UW1 B Z +TUBING T UW1 - B IH0 NG +TUBMAN T AH1 B - M AH0 N +TUBS T AH1 B Z +TUBULAR T UW1 - B Y AH0 - L ER0 +TUBULE T UW1 - B Y UW0 L +TUCCI T UW1 - CH IY0 +TUCCI'S T UW1 - CH IY0 S +TUCCIARONE T UW0 - CH ER0 - OW1 - N IY0 +TUCCILLO T UW0 - CH IH1 - L OW0 +TUCEK T UW1 - CH EH2 K +TUCH T AH1 CH +TUCHMAN T AH1 K - M AH0 N +TUCHOLSKI T AH0 - HH OW1 L - S K IY0 +TUCK T AH1 K +TUCKED T AH1 K T +TUCKER T AH1 - K ER0 +TUCKER'S T AH1 - K ER0 Z +TUCKERMAN T AH1 - K ER0 - M AH0 N +TUCKETT T AH1 - K IH0 T +TUCKEY T AH1 - K IY0 +TUCKING T AH1 - K IH0 NG +TUCKMAN T AH1 K - M AH0 N +TUCKS T AH1 K S +TUCSON T UW1 - S AA2 N +TUCUMAN T UW1 - K Y UW0 - M AH0 N +TUDISCO T UW0 - D IY1 - S K OW0 +TUDJMAN T UH1 JH - M AH0 N +TUDJMAN'S T UH1 JH - M AH0 N Z +TUDOR T UW1 - D ER0 +TUDOR'S T Y UW1 - D ER0 Z +TUDOR(2) T Y UW1 - D ER0 +TUE T UW1 +TUEL T UW1 L +TUELL T UW1 L +TUESDAY T UW1 Z - D IY0 +TUESDAY'S T UW1 Z - D IY0 Z +TUESDAY'S(2) T UW1 Z - D EY2 Z +TUESDAY'S(3) T Y UW1 Z - D EY2 Z +TUESDAY(2) T UW1 Z - D EY2 +TUESDAY(3) T Y UW1 Z - D EY2 +TUESDAYS T UW1 Z - D EY2 Z +TUESDAYS(2) T UW1 Z - D IY0 Z +TUESDAYS(3) T Y UW1 Z - D EY2 Z +TUFA T UW1 - F AH0 +TUFANO T UW0 - F AA1 - N OW0 +TUFF T AH1 F +TUFNEL T AH1 F - N IH0 L +TUFO T UW1 - F OW0 +TUFT T AH1 F T +TUFTE T AH1 F T +TUFTED T AH1 F - T AH0 D +TUFTED(2) T AH1 F - T IH0 D +TUFTLIKE T AH1 F T - L AY2 K +TUFTS T AH1 F T S +TUG T AH1 G +TUGBOAT T AH1 G - B OW2 T +TUGBOATS T AH1 G - B OW2 T S +TUGGED T AH1 G D +TUGGING T AH1 - G IH0 NG +TUGGLE T AH1 - G AH0 L +TUGMAN T AH1 G - M AH0 N +TUGS T AH1 G Z +TUGWELL T AH1 - G W EH2 L +TUHAN T UW0 - HH AH0 N +TUINSTRA T UW0 - IH1 N - S T R AH0 +TUITE T UW1 T +TUITION T Y UW0 - IH1 - SH AH0 N +TUITIONS T UW0 - IH1 - SH AH0 N Z +TUK T UW1 K +TUKS T AH1 K S +TULA T UW1 - L AH0 +TULANE T UW0 - L EY1 N +TULEY T Y UW1 - L IY0 +TULIP T UW1 - L AH0 P +TULIPS T UW1 - L AH0 P S +TULL T AH1 L +TULLAR T AH1 L - ER0 +TULLER T AH1 L - ER0 +TULLEY T UW1 - L IY0 +TULLIA T AH1 - L IY0 - AH0 +TULLIER T AH1 - L IY0 - ER0 +TULLIO T UW1 - L IY0 - OW0 +TULLIS T AH1 - L IH0 S +TULLIUS T AH1 - L IY0 - IH0 S +TULLO T UW1 - L OW0 +TULLOCH T AH1 - L AH0 K +TULLOCK T AH1 - L AH0 K +TULLOS T AH1 - L OW0 Z +TULLY T AH1 - L IY0 +TULSA T AH1 L - S AH0 +TUMA T UW1 - M AH0 +TUMACOCERI T UW2 - M AH0 - K OW1 - CH ER0 - IY0 +TUMAN CH UW1 - M AH0 N +TUMAZOS T UW0 - M AA1 - Z OW0 S +TUMBLE T AH1 M - B AH0 L +TUMBLED T AH1 M - B AH0 L D +TUMBLER T AH1 M - B L ER0 +TUMBLER'S T AH1 M - B L ER0 Z +TUMBLERS T AH1 M - B L ER0 Z +TUMBLES T AH1 M - B AH0 L Z +TUMBLESON T AH1 M - B AH0 L - S AH0 N +TUMBLIN T AH1 M - B L IH0 N +TUMBLING T AH1 M - B AH0 L - IH0 NG +TUMBLING(2) T AH1 M - B L IH0 NG +TUMESCENT T UW0 - M EH1 - S IH0 N T +TUMEY T AH1 - M IY0 +TUMINELLO T UW0 - M IY0 - N EH1 - L OW0 +TUMLIN T AH1 M - L IH0 N +TUMLINSON T AH1 M - L IH0 N - S AH0 N +TUMMIES T AH1 - M IY0 Z +TUMMINELLO T UW0 - M IY0 - N EH1 - L OW0 +TUMMOND T AH1 - M AH0 N D +TUMMY T AH1 - M IY0 +TUMOLO T UW0 - M OW1 - L OW0 +TUMOR T UW1 - M ER0 +TUMORS T UW1 - M ER0 Z +TUMS T AH1 M Z +TUMS' T AH1 M Z +TUMULT T UW1 - M AH0 L T +TUMULTUOUS T UW2 - M AH1 L - CH UW0 - AH0 S +TUMULTY T UW1 - M AH0 L - T IY0 +TUNA T UW1 - N AH0 +TUNA(2) T Y UW1 - N AH0 +TUNABLE T UW1 - N AH0 - B AH0 L +TUNAFISH T UW1 - N AH0 - F IH0 SH +TUNAS T UW1 - N AH0 Z +TUNDE T AH1 N D +TUNDRA T AH1 N - D R AH0 +TUNE T UW1 N +TUNED T UW1 N D +TUNEFUL T UW1 N - F AH0 L +TUNER T UW1 - N ER0 +TUNES T UW1 N Z +TUNEUP T UW1 - N AH2 P +TUNG T AH1 NG +TUNG'S T AH1 NG Z +TUNGATE T UW1 - NG EY0 T +TUNGSRAM T AH1 NG - Z R AE2 M +TUNGSROM T AH1 NG - Z R AH0 M +TUNGSROM'S T AH1 NG - Z R AH0 M Z +TUNGSTEN T AH1 NG - S T AH0 N +TUNIC T UW1 - N IH0 K +TUNICA T UW1 - N IH0 - K AH0 +TUNICA'S T UW1 - N IH0 - K AH0 Z +TUNICATE T UW1 - N IH0 - K AH0 T +TUNICK T AH1 - N IH0 K +TUNING T UW1 - N IH0 NG +TUNIS T UW1 - N IH0 S +TUNIS(2) T UW2 - N IY1 S +TUNISIA T UW2 - N IY1 - ZH AH0 +TUNISIAN T UW2 - N IY1 - ZH AH0 N +TUNISON T AH1 - N IH0 - S AH0 N +TUNISON(2) T UW1 - N IH0 - S AH0 N +TUNKELANG T AH2 NG - K L AE1 NG +TUNKS T AH1 NG K S +TUNKU T AH1 NG - K UW0 +TUNNEL T AH1 - N AH0 L +TUNNELING T AH1 - N AH0 L - IH0 NG +TUNNELL T AH1 - N AH0 L +TUNNELS T AH1 - N AH0 L Z +TUNNEY T AH1 - N IY0 +TUNNY T AH1 - N IY0 +TUNSTALL T AH1 N - S T AH0 L +TUOHEY T UW1 - HH EY0 +TUOHY T UW1 - IY0 +TUOMI T W OW1 - M IY0 +TUPA T UW1 - P AH0 +TUPAC T UW1 - P AO0 K +TUPELO T Y UW1 - P AH0 - L OW2 +TUPELO(2) T UW1 - P AH0 - L OW2 +TUPELOV T UW1 - P AH0 - L AA0 V +TUPPER T AH1 - P ER0 +TUPPERWARE T AH1 - P ER0 - W EH2 R +TUPY T UW1 - P IY0 +TURANDOT T ER0 - AE1 N - D AH0 T +TURANO T UH0 - R AA1 - N OW0 +TURBAN T ER1 - B AH0 N +TURBANS T ER1 - B AH0 N Z +TURBAS T ER1 - B AH0 S +TURBEN T ER1 - B AH0 N +TURBERVILLE T ER1 - B ER0 - V IH2 L +TURBETT T ER1 - B IH0 T +TURBEVILLE T ER1 B - V IH0 L +TURBIDITY T ER0 - B IH1 - D AH0 - T IY0 +TURBIN T ER1 - B IH0 N +TURBINE T ER1 - B AY0 N +TURBINEN T ER1 - B IH0 - N AH0 N +TURBINES T ER1 - B AY0 N Z +TURBO T ER1 - B OW0 +TURBOCHARGE T ER1 - B OW0 - CH AA2 R JH +TURBOCHARGED T ER1 - B OW0 - CH AA2 R JH D +TURBOCHARGES T ER1 - B OW0 - CH AA2 R - JH IH0 Z +TURBOCHARGING T ER1 - B OW0 - CH AA2 R - JH IH0 NG +TURBOFAN T ER1 - B OW0 - F AE2 N +TURBOJET T ER1 - B OW0 - JH EH2 T +TURBOPROP T ER1 - B OW0 - P R AA2 P +TURBOPROPS T ER1 - B OW0 - P R AA2 P S +TURBOS T ER1 - B OW0 Z +TURBOT T ER2 - B OW1 +TURBOT(2) T ER1 - B AH2 T +TURBOTAX T ER1 - B OW0 - T AE2 K S +TURBULENCE T ER1 - B Y AH0 - L AH0 N S +TURBULENT T ER1 - B Y AH0 - L AH0 N T +TURBYFILL T ER1 - B IH0 - F IH0 L +TURCHI T UH1 R - K IY0 +TURCHIN T ER1 - CH IH0 N +TURCHYN T ER1 - CH IH0 N +TURCK T ER1 K +TURCO T ER1 - K OW0 +TURCOTT T ER1 - K AH0 T +TURCOTTE T ER0 - K AO1 T +TURE T UH1 R +TUREK T Y UW1 - R IH0 K +TURENNE T Y UW1 - R IH0 N +TURF T ER1 F +TURGEON T ER1 - JH IH0 N +TURGID T ER1 - JH IH0 D +TURGUT T ER1 - G AH0 T +TURI T UH1 - R IY0 +TURIN T Y UH1 - R IH0 N +TURIN(2) T UH1 - R IH0 N +TURING T UH1 - R IH0 NG +TURISMO T UH1 - R IH0 S - M OW0 +TURK T ER1 K +TURKEL T ER1 - K AH0 L +TURKEY T ER1 - K IY0 +TURKEY'S T ER1 - K IY0 Z +TURKEYS T ER1 - K IY0 Z +TURKIC T ER1 - K IH0 K +TURKINGTON T ER1 - K IH0 NG - T AH0 N +TURKISH T ER1 - K IH0 SH +TURKMEN T ER1 K - M EH2 N +TURKMENISTAN T ER2 K - M EH1 - N IH0 - S T AE2 N +TURKO T ER1 - K OW0 +TURKOVICH T ER1 - K AH0 - V IH0 CH +TURKS T ER1 K S +TURLEY T ER1 - L IY0 +TURLINGTON T ER1 - L IH0 NG - T AH0 N +TURMAN T ER1 - M AH0 N +TURMEL T ER1 - M AH0 L +TURMOIL T ER1 - M OY2 L +TURN T ER1 N +TURNABOUT T ER1 N - AH0 - B AW2 T +TURNAGE T ER1 - N IH0 JH +TURNAROUND T ER1 - N ER0 - AW2 N D +TURNAROUNDS T ER1 - N ER0 - AW2 N D Z +TURNBAUGH T ER1 N - B AO0 +TURNBO T UH1 R N - B OW0 +TURNBOUGH T ER1 N - B AW2 +TURNBOW T ER1 N - B OW0 +TURNBRIDGE T ER1 N - B R IH2 JH +TURNBULL T ER1 N - B UH2 L +TURNCOAT T ER1 N - K OW2 T +TURNDOWN T ER1 N - D AW2 N +TURNED T ER1 N D +TURNER T ER1 - N ER0 +TURNER'S T ER1 - N ER0 Z +TURNEY T ER1 - N IY0 +TURNHAM T ER1 N - HH AH0 M +TURNING T ER1 - N IH0 NG +TURNIP T ER1 - N AH0 P +TURNIPS T ER1 - N AH0 P S +TURNIPSEED T ER0 - N IH1 P - S IY0 D +TURNKEY T ER1 N - K IY2 +TURNLEY T ER1 N - L IY0 +TURNMIRE T ER1 N - M AY0 R +TURNOFF T ER1 - N AO2 F +TURNOUT T ER1 N - AW2 T +TURNOUTS T ER1 N - AW2 T S +TURNOVER T ER1 N - OW2 - V ER0 +TURNOVERS T ER1 N - OW2 - V ER0 Z +TURNPIKE T ER1 N - P AY2 K +TURNPIKES T ER1 N - P AY2 K S +TURNQUEST T ER1 N - K W EH0 S T +TURNQUIST T ER1 N - K W IH0 S T +TURNS T ER1 N Z +TURNSTILE T ER1 N - S T AY2 L +TURNSTILES T ER1 N - S T AY2 L Z +TURNTABLE T ER1 N - T EY2 - B AH0 L +TURNTABLES T ER1 N - T EY2 - B AH0 L Z +TURO T UH1 - R OW0 +TUROW T UH1 - R OW0 +TUROWSKI T ER0 - AO1 F S - K IY0 +TURPEN T ER1 - P AH0 N +TURPENTINE T ER1 - P AH0 N - T AY2 N +TURPIN T ER1 - P IH0 N +TURPITUDE T ER1 - P IH0 - T UW2 D +TURQUOISE T ER1 - K W OY0 Z +TURRELL T AO1 - R AH0 L +TURRENTINE T UH0 - R EH0 N - T IY1 - N IY0 +TURRET T ER1 - AH0 T +TURRET(2) T ER1 T +TURRETS T ER1 - AH0 T S +TURRI T UH1 - R IY0 +TURRILL T AO1 - R AH0 L +TURSI T UH1 R - S IY0 +TURSKI T ER1 S - K IY0 +TURTLE T ER1 - T AH0 L +TURTLE'S T ER1 - T AH0 L Z +TURTLENECK T ER1 - T AH0 L - N EH2 K +TURTLENECKS T ER1 - T AH0 L - N EH2 K S +TURTLES T ER1 - T AH0 L Z +TURTON T ER1 - T AH0 N +TURVEY T ER0 - V EY1 +TURVILLE T ER1 - V IH2 L +TURVY T ER1 - V IY0 +TUSA T UW1 - S AH0 +TUSCALOOSA T AH2 S - K AH0 - L UW1 - S AH0 +TUSCALOOSA'S T AH2 S - K AH0 - L UW1 - S AH0 Z +TUSCAN T AH1 S - K AH0 N +TUSCANY T AH1 S - K AH0 - N IY0 +TUSH T UH1 SH +TUSHES T UH1 - SH IH0 Z +TUSING T UW1 - S IH0 NG +TUSK T AH1 S K +TUSKEGEE T AH1 - S K AH0 - G IY2 +TUSKEGEE(2) T AH0 S - K IY1 - G IY2 +TUSKS T AH1 S K S +TUSLA T UW1 Z - L AH0 +TUSSAUD'S T UW0 - S OW1 Z +TUSSAUD'S(2) T AH0 - S OW1 Z +TUSSEY T AH1 - S IY0 +TUSSING T AH1 - S IH0 NG +TUSSLE T AH1 - S AH0 L +TUSSLED T AH1 - S AH0 L D +TUSSLES T AH1 - S AH0 L Z +TUSTIN T AH1 - S T IH0 N +TUT T AH1 T +TUTELAGE T Y UW1 - T IH0 - L IH0 JH +TUTEN T Y UW1 - T AH0 N +TUTHILL T AH1 T - HH IH2 L +TUTINO T UW0 - T IY1 - N OW0 +TUTKO T AH1 T - K OW0 +TUTOR T UW1 - T ER0 +TUTORED T UW1 - T ER0 D +TUTORIAL T UW0 - T AO1 - R IY0 - AH0 L +TUTORIALS T UW0 - T AO1 - R IY0 - AH0 L Z +TUTORING T UW1 - T ER0 - IH0 NG +TUTORS T UW1 - T ER0 Z +TUTSI T UW1 T - S IY0 +TUTSI'S T UW1 T - S IY0 Z +TUTSIS T UW1 T - S IY0 Z +TUTT T AH1 T +TUTTEROW T AH1 - T ER0 - OW0 +TUTTI T UW1 - T IY0 +TUTTLE T AH1 - T AH0 L +TUTTON T AH1 - T AH0 N +TUTU T UW1 - T UW2 +TUTWILER T AH1 T - W AY2 - L ER0 +TUX T AH1 K S +TUXEDO T AH2 K - S IY1 - D OW0 +TUXEDOS T AH0 K - S IY1 - D OW2 Z +TUXFORD T AH1 K S - F ER0 D +TUXHORN T AH1 K S - HH ER0 N +TUYLE T UW1 L +TUZLA T UW1 Z - L AH0 +TUZLA'S T UW1 Z - L AH0 Z +TUZZOLINO T UW0 T - S OW0 - L IY1 - N OW0 +TV T IY1 - V IY1 +TV(2) T EH2 - L AH0 - V IH1 - ZH AH0 N +TVEDT T V EH1 D T +TVEIT T V IY1 T +TVSAT T AH0 V - S AE1 T +TWADDELL T W AA0 - D EH1 L +TWADDLE T W AA1 - D AH0 L +TWAIN T W EY1 N +TWAIN'S T W EY1 N Z +TWANG T W AA1 NG +TWANGY T W AA1 N - JH IY0 +TWARDOWSKI T W ER0 - D AW1 S - K IY0 +TWARDY T W AO1 R - D IY0 +TWAROG T W AO1 - R AO0 G +TWAS T W AH1 Z +TWEAK T W IY1 K +TWEAKED T W IY1 K T +TWEAKING T W IY1 - K IH0 NG +TWEAKS T W IY1 K S +TWEDT T W EH1 D T +TWEED T W IY1 D +TWEEDIE T W IY1 - D IY0 +TWEEDLE T W IY1 - D AH0 L +TWEEDY T W IY1 - D IY0 +TWEET T W IY1 T +TWEEZER T W IY1 - Z ER0 +TWEEZERMAN T W IY1 - Z ER0 - M AE2 N +TWEEZERS T W IY1 - Z ER0 Z +TWELFTH T W EH1 L F TH +TWELVE T W EH1 L V +TWELVTH T W EH1 L V TH +TWENTIES T W EH1 N - T IY0 Z +TWENTIES(2) T W EH1 - N IY0 Z +TWENTIETH T W EH1 N - T IY0 - AH0 TH +TWENTIETH(2) T W EH1 N - T IY0 - IH0 TH +TWENTIETH(3) T W EH1 - N IY0 - AH0 TH +TWENTIETH(4) T W EH1 - N IY0 - IH0 TH +TWENTY T W EH1 N - T IY0 +TWENTY'S T W EH1 N - T IY0 Z +TWENTY'S(2) T W EH1 - N IY0 Z +TWENTY(2) T W EH1 - N IY0 +TWENTYSOMETHING T W EH2 N - T IY0 - S AH1 M - TH IH0 NG +TWENTYSOMETHING(2) T W EH2 - N IY0 - S AH1 M - TH IH0 NG +TWENTYSOMETHINGS T W EH2 N - T IY0 - S AH1 M - TH IH0 NG Z +TWENTYSOMETHINGS(2) T W EH2 - N IY0 - S AH1 M - TH IH0 NG Z +TWERSKY T W ER1 S - K IY0 +TWETEN T W IY1 - T AH0 N +TWICE T W AY1 S +TWICHELL T W IH1 - CH AH0 L +TWIDDLE T W IH1 - D AH0 L +TWIDDLING T W IH1 D - L IH0 NG +TWIDDY T W IH1 - D IY0 +TWIFORD T W IH1 - F ER0 D +TWIG T W IH1 G +TWIGG T W IH1 G +TWIGGED T W IH1 G D +TWIGGS T W IH1 G Z +TWIGGY T W IH1 - G IY0 +TWIGS T W IH1 G Z +TWILIGHT T W AY1 - L AY2 T +TWILL T W IH1 L +TWILLEY T W IH1 - L IY0 +TWIN T W IH1 N +TWINE T W AY1 N +TWINED T W AY1 N D +TWINGE T W IH1 N JH +TWINING T W AY1 - N IH0 NG +TWINJET T W IH1 N - JH EH2 T +TWINJETS T W IH1 N - JH EH2 T S +TWINKIE T W IH1 NG - K IY0 +TWINKIES T W IH1 NG - K IY0 Z +TWINKLE T W IH1 NG - K AH0 L +TWINKLES T W IH1 NG - K AH0 L Z +TWINKLING T W IH1 NG - K AH0 L - IH0 NG +TWINKLING(2) T W IH1 NG - K L IH0 NG +TWINS T W IH1 N Z +TWINS' T W IH1 N Z +TWINSBURG T W IH1 N Z - B ER0 G +TWIRL T W ER1 L +TWIRLED T W ER1 L D +TWIRLER T W ER1 - L ER0 +TWIRLING T W ER1 - L IH0 NG +TWIRLS T W ER1 L Z +TWISS T W IH1 S +TWIST T W IH1 S T +TWISTED T W IH1 - S T AH0 D +TWISTED(2) T W IH1 - S T IH0 D +TWISTER T W IH1 - S T ER0 +TWISTERS T W IH1 - S T ER0 Z +TWISTING T W IH1 - S T IH0 NG +TWISTS T W IH1 S T S +TWISTY T W IH1 - S T IY0 +TWITCH T W IH1 CH +TWITCHED T W IH1 CH T +TWITCHELL T W IH1 - CH AH0 L +TWITCHES T W IH1 - CH IH0 Z +TWITCHING T W IH1 - CH IH0 NG +TWITE T W AY1 T +TWITTY T W IH1 - T IY0 +TWO T UW1 +TWO'S T UW1 Z +TWOFOLD T UW1 - F OW1 L D +TWOHIG T W OW1 - HH IH0 G +TWOMBLY T W UW1 M - B L IY0 +TWOMEY T W AA1 - M IY0 +TWONSHEIN T W AA1 N - SH AY2 N +TWONSHEIN'S T W AA1 N - SH AY2 N Z +TWOREK T W ER1 - IH0 K +TWOS T UW1 Z +TWOSOME T UW1 - S AH0 M +TWOTHIRDS T UW1 - TH ER1 D Z +TWYFORD T W AY1 - F ER0 D +TWYLA T W AY1 - L AH0 +TWYMAN T W AY1 - M AH0 N +TY T AY1 +TYBALT T IH1 - B AH0 L T +TYBURSKI T AY0 - B ER1 S - K IY0 +TYCE T AY1 S +TYCO T AY1 - K OW0 +TYCO'S T AY1 - K OW0 Z +TYCOON T AY0 - K UW1 N +TYCOON'S T AY0 - K UW1 N Z +TYCOONS T AY0 - K UW1 N Z +TYDINGS T AY1 - D IH0 NG Z +TYE T AY1 +TYER T AY1 - ER0 +TYGAR T AY1 - G AA2 R +TYGART T AY1 - G AA2 R T +TYGER T AY1 - G ER0 +TYING T AY1 - IH0 NG +TYKE T AY1 K +TYLAN T AY1 - L AH0 N +TYLEE T AY1 - L IY0 +TYLENOL T AY1 - L AH0 - N AO0 L +TYLENOL'S T AY1 - L AH0 - N AO0 L Z +TYLER T AY1 - L ER0 +TYLER'S T AY1 - L ER0 Z +TYLKA T IH1 L - K AH0 +TYMINSKI T IH0 - M IH1 N - S K IY0 +TYMNET T AY1 M - N EH2 T +TYMPANIC T IH0 M - P AE1 - N IH0 K +TYMPANUM T IH1 M - P AH0 - N AH0 M +TYNAN T AY1 - N AH0 N +TYNDALL T IH1 N - D AH0 L +TYNE T AY1 N +TYNER T AY1 - N ER0 +TYNES T AY1 N Z +TYO T AY1 - OW0 +TYO(2) T IY1 - W AY1 - OW1 +TYPE T AY1 P +TYPEABLE T AY1 - P AH0 - B AH0 L +TYPECAST T AY1 P - K AE2 S T +TYPECASTING T AY1 P - K AE2 - S T IH0 NG +TYPED T AY1 P T +TYPEFACE T AY1 P - F EY2 S +TYPEFACES T AY1 P - F EY2 - S AH0 Z +TYPES T AY1 P S +TYPESET T AY1 P - S EH2 T +TYPESETTING T AY1 P - S EH2 - T IH0 NG +TYPEWRITER T AY1 P - R AY2 - T ER0 +TYPEWRITERS T AY1 P - R AY2 - T ER0 Z +TYPEWRITING T AY1 P - R AY2 - T IH0 NG +TYPEWRITTEN T AY1 P - R IH2 - T AH0 N +TYPHOID T AY1 - F OY0 D +TYPHOON T AY2 - F UW1 N +TYPHOONS T AY2 - F UW1 N Z +TYPHUS T AY1 - F AH0 S +TYPICAL T IH1 - P AH0 - K AH0 L +TYPICAL(2) T IH1 - P IH0 - K AH0 L +TYPICALLY T IH1 - P IH0 K - L IY0 +TYPICALLY(2) T IH1 - P IH0 - K AH0 - L IY0 +TYPIFIED T IH1 - P AH0 - F AY2 D +TYPIFIES T IH1 - P AH0 - F AY2 Z +TYPIFY T IH1 - P AH0 - F AY2 +TYPING T AY1 - P IH0 NG +TYPINGS T AY1 - P IH0 NG Z +TYPIST T AY1 - P IH0 S T +TYPISTS T AY1 - P IH0 S T S +TYPISTS(2) T AY1 - P IH0 S S +TYPISTS(3) T AY1 - P IH0 S +TYPO T AY1 - P OW0 +TYPOGRAPHICAL T AY2 - P AH0 - G R AE1 - F IH0 - K AH0 L +TYPOGRAPHY T AH0 - P AA1 - G R AH0 - F IY0 +TYRA T AY1 - R AH0 +TYRANNICAL T ER0 - AE1 - N IH0 - K AH0 L +TYRANNIES T IH1 - R AH0 - N IY0 Z +TYRANNOSAURUS T IH0 - R AE0 - N AH0 - S AO1 - R AH0 S +TYRANNY T IH1 - R AH0 - N IY0 +TYRANT T AY1 - R AH0 N T +TYRANTS T AY1 - R AH0 N T S +TYRE T AY1 R +TYREE T AY0 - R IY1 +TYRELL T AY1 - R AH0 L +TYRONE T AY2 - R OW1 N +TYRRELL T AY2 - R EH1 L +TYRRHENIAN T ER0 - IY1 - N IY0 - AH0 N +TYSINGER T AY1 - S IH0 N - JH ER0 +TYSON T AY1 - S AH0 N +TYSON'S T AY1 - S AH0 N Z +TYSONS T AY1 - S AH0 N Z +TYUS T Y UW1 S +T_A_C T IY1 - EY1 - S IY1 +T_A_C(2) T AE1 K +U Y UW1 +U'S Y UW1 Z +U. Y UW1 +U.'S Y UW1 Z +U.S Y UW1 Z +UARCO Y UW2 - AA1 R - K OW0 +UART Y UW1 - AA0 R T +UBBEN AH1 - B AH0 N +UBER Y UW1 - B ER0 +UBIQUITOUS Y UW0 - B IH1 - K W IH0 - T AH0 S +UBIQUITY Y UW0 - B IH1 - K W IH0 - T IY0 +UCCEL UW1 - CH AH0 L +UCCEL'S UW1 - CH AH0 L Z +UCCI UW1 - CH IY0 +UCHIDA UW0 - K IY1 - D AH0 +UCLAF AH1 - K L AE0 F +UCLAF(2) Y UW1 - K L AE0 F +UDAGAWA UW2 - D AA0 - G AA1 - W AH0 +UDALE Y UW1 - D EY2 L +UDALL Y UW1 - D AH0 L +UDAY UW1 - D EY0 +UDDIN AH1 - D IH0 N +UDE UW1 D +UDELL AH1 - D AH0 L +UDELLE AH0 - D EH1 L +UDEN UW1 - D AH0 N +UDO UW1 - D OW2 +UDOLF AH1 - D OW0 L F +UDVAR AH1 D - V AA0 R +UDVERHYE UW2 D - V EH1 R - HH IY0 +UDVERHYE'S UW2 D - V EH1 R - HH IY0 Z +UDVERHYE'S(2) Y UW2 D - V EH1 R - HH IY0 Z +UDVERHYE(2) Y UW2 D - V EH1 R - HH IY0 +UDY Y UW1 - D IY0 +UEBEL UH1 - B AH0 L +UEBERROTH Y UW1 - B ER0 - R AO2 TH +UECKER UH1 - K ER0 +UECKERT UH1 - K ER0 T +UEDA W EH1 - D AH0 +UEDA(2) UW0 - EY1 - D AH0 +UEHARA UW0 - EY0 - HH AA1 - R AH0 +UEHLING UH1 - L IH0 NG +UEKI Y UW2 - EH1 - K IY0 +UELAND UH1 - L AH0 N D +UELMAN UH1 L - M AH0 N +UELMEN UH1 L - M EH0 N +UELMEN'S UH1 L - M EH0 N Z +UEMURA UW2 - IH0 - M UW1 - R AH0 +UENO W EH1 - N OW0 +UENO(2) UW0 - EY1 - N OW0 +UENOHARA W EH2 - N OW0 - HH AA1 - R AH0 +UENOHARA(2) UW0 - EY2 - N OW0 - HH AA1 - R AH0 +UFFELMAN AH1 - F AH0 L - M AH0 N +UGALDE UW0 - G AA1 L - D IY0 +UGANDA Y UW0 - G AE1 N - D AH0 +UGANDA'S Y UW0 - G AE1 N - D AH0 Z +UGANDA(2) Y UW2 - G AA1 N - D AH0 +UGANDAN Y UW2 - G AE1 N - D AH0 N +UGANDAN(2) Y UW2 - G AA1 N - D AH0 N +UGARTE UW0 - G AA1 R - T IY0 +UGH AH1 G +UGITY AH1 - G IH0 - T IY0 +UGLIER AH1 G - L IY0 - ER0 +UGLIEST AH1 G - L IY0 - AH0 S T +UGLINESS AH1 G - L IY0 - N AH0 S +UGLY AH1 G - L IY0 +UGOLIN Y UW1 - G AH0 - L IH0 N +UGOLINI UW0 - G OW0 - L IY1 - N IY0 +UGRIC Y UW1 - G R IH0 K +UH AH1 +UH-HUH AH1 - HH AH1 +UHDE AH1 D +UHDE(2) UW1 - D AH0 +UHER UW1 - ER0 +UHH AH1 +UHL AH1 L +UHLAND UW1 - L AH0 N D +UHLE UW1 - AH0 L +UHLER UW1 - L ER0 +UHLICH UW1 - L IH0 K +UHLIG UW1 - L IH0 G +UHLIR UW1 - L ER0 +UHLMAN UW1 L - M AH0 N +UHLMANN UW1 L - M AH0 N +UHLS UW1 L Z +UHR UH1 R +UHRICH UH1 - R IH0 K +UHRIG UH1 - R IH0 G +UHRIN UH1 - R IH0 N +UKASE Y UW1 - K EY2 Z +UKMAN AH1 K - M AH0 N +UKRAINE Y UW0 - K R EY1 N +UKRAINE'S Y UW0 - K R EY1 N Z +UKRAINIAN Y UW0 - K R EY1 - N IY0 - AH0 N +UKRAINIAN'S Y UW0 - K R EY1 - N IY0 - AH0 N Z +UKRAINIANS Y UW0 - K R EY1 - N IY0 - AH0 N Z +UKULELE Y UW2 - K AH0 - L EY1 - L IY0 +UL AH1 L +UL(2) Y UW1 - EH1 L +ULA Y UW1 - L AH0 +ULAM Y UW1 - L AE0 M +ULAND Y UW1 - L AH0 N D +ULATOWSKI AH0 - L AH0 - T AO1 F S - K IY0 +ULBRICH AH1 L - B R IH0 K +ULBRICHT AH1 L - B R IH0 K T +ULCER AH1 L - S ER0 +ULCERS AH1 L - S ER0 Z +ULCH AH1 L CH +ULERY AH0 - L ER1 - IY0 +ULF AH1 L F +ULFRED AH1 L - F ER0 D +ULGER AH1 L - G ER0 +ULI Y UW1 - L IY0 +ULIANO UW0 - L IY0 - AA1 - N OW0 +ULIBARRI UW0 - L IY0 - B AA1 - R IY0 +ULICNY AH0 - L IH1 K - N IY0 +ULIMA UW0 - L IY1 - M AH0 +ULIN Y UW1 - L IH0 N +ULITSA Y UW0 - L IH1 T - S AH0 +ULLAND AH1 - L AH0 N D +ULLENBERG Y UW1 - L AH0 N - B ER0 G +ULLERY UW1 - L ER0 - IY0 +ULLMAN AH1 L - M AH0 N +ULLMANN AH1 L - M AH0 N +ULLMER AH1 L - M ER0 +ULLOA UW0 - L OW1 - AH0 +ULLOCK AH1 - L AH0 K +ULLOM AH1 - L AH0 M +ULLRICH UH1 L - R IH0 K +ULLYSES Y UW0 - L IH1 - S IY0 Z +ULM AH1 L M +ULMAN AH1 L - M AH0 N +ULMAR AH1 L - M ER0 +ULMER AH1 L - M ER0 +ULMUS AH1 L - M AH0 S +ULREY AH1 L - R IY0 +ULRIC AH1 L - R IH0 K +ULRICA AH1 - L R IH0 - K AH0 +ULRICH AH1 L - R IH0 CH +ULRICK AH1 L - R IH0 K +ULSAN AH1 L - S AH0 N +ULSH AH1 L SH +ULSHAFER AH1 L - SH AH0 - F ER0 +ULSTER AH1 L - S T ER0 +ULTERIOR AH0 L - T IH1 - R IY0 - ER0 +ULTIMA AH1 L - T IH0 - M AH0 +ULTIMATE AH1 L - T AH0 - M AH0 T +ULTIMATELY AH1 L - T AH0 - M AH0 T - L IY0 +ULTIMATUM AH2 L - T AH0 - M EY1 - T AH0 M +ULTIMATUMS AH2 L - T AH0 - M EY1 - T AH0 M Z +ULTRA AH1 L - T R AH0 +ULTRA'S AH1 L - T R AH0 Z +ULTRACONSERVATIVE AH2 L - T R AH0 - K AH0 N - S ER1 - V AH0 - T IH0 V +ULTRAIR AH1 L - T R EH2 R +ULTRAMAR AH1 L - T R AH0 - M AA0 R +ULTRAMODERN AH2 L - T R AH0 - M AA1 - D ER0 N +ULTRANATIONALIST AH2 L - T R AH0 - N AE1 - SH AH0 N - AH0 - L AH0 S T +ULTRANATIONALIST'S AH2 L - T R AH0 - N AE1 - SH AH0 N - AH0 - L AH0 S T S +ULTRANATIONALISTS AH2 L - T R AH0 - N AE1 - SH AH0 N - AH0 - L AH0 S T S +ULTRASONIC AH2 L - T R AH0 - S AA1 - N IH0 K +ULTRASOUND AH2 L - T R AH0 - S AW1 N D +ULTRASYSTEM AH1 L - T R AH0 - S IH2 - S T AH0 M +ULTRASYSTEMS AH1 L - T R AH0 - S IH2 - S T AH0 M Z +ULTRAVIOLET AH2 L - T R AH0 - V AY1 - AH0 - L IH0 T +ULUNDI Y UW0 - L AH1 N - D IY0 +ULVA UW1 L - V AH0 +ULVERT AH1 L - V ER0 T +ULYSSES Y UW0 - L IH1 - S IY0 Z +UM AH1 M +UMA Y UW1 - M AH0 +UMANA UW0 - M AA1 - N AH0 +UMANSKY AH0 - M AE1 N - S K IY0 +UMASS Y UW1 - M AE1 S +UMBACH AH1 M - B AA2 K +UMBARGER AH1 M - B AA2 R - G ER0 +UMBAUGH AH1 M - B AW0 +UMBEL AH1 M - B AH0 L +UMBERGER AH1 M - B ER0 - G ER0 +UMBERTO AH0 M - B EH1 R - T OW2 +UMBILICAL AH0 M - B IH1 - L IH0 - K AH0 L +UMBLE AH1 M - B AH0 L +UMBRA AH1 M - B R AH0 +UMBRAGE AH1 M - B R IH0 JH +UMBRELLA AH0 M - B R EH1 - L AH0 +UMBRELLA(2) AH1 M - B R EH2 - L AH0 +UMBRELLAS AH0 M - B R EH1 - L AH0 Z +UMETSU Y UW2 - M EH1 T - S UW0 +UMFLEET AH1 M - F L IY2 T +UMHOLTZ AH1 M - HH OW2 L T S +UMLAND AH1 M - L AH0 N D +UMLASI UW2 M - L AA1 - S IY0 +UMLAUF AH1 M - L AW0 F +UMM AH1 M +UMMEL AH1 - M AH0 L +UMPHLETT AH0 M - F L EH1 T +UMPHRESS AH1 M - F R IH0 S +UMPHREY AH1 M - F R IY0 +UMPIRE AH1 M - P AY2 - ER0 +UMPIRES AH1 M - P AY2 - ER0 Z +UMPTEEN AH1 M P - T IY1 N +UMPTEENTH AH1 M P - T IY2 N TH +UMSCHEID AH1 M - SH AY2 D +UMSTEAD AH1 M - S T EH2 D +UN AH1 N +UN(2) Y UW1 - EH1 N +UNA UW1 - N AH0 +UNABASHED AH2 N - AH0 - B AE1 SH T +UNABASHEDLY AH2 N - AH0 - B AE1 - SH IH0 D - L IY0 +UNABATED AH2 N - AH0 - B EY1 - T IH0 D +UNABLE AH0 N - EY1 - B AH0 L +UNABOM Y UW1 - N AH0 - B AO2 M +UNABOMB Y UW1 - N AH0 - B AO2 M +UNABOMB'S Y UW1 - N AH0 - B AO2 M Z +UNABOMBER Y UW1 - N AH0 - B AO2 - M ER0 +UNABOMBER'S Y UW1 - N AH0 - B AO2 - M ER0 Z +UNABOMBERS Y UW1 - N AH0 - B AO2 - M ER0 Z +UNABOMBING Y UW1 - N AH0 - B AO2 - M IH0 NG +UNABOMBINGS Y UW1 - N AH0 - B AO2 - M IH0 NG Z +UNABRIDGED AH2 N - AH0 - B R IH1 JH D +UNACCEPTABLE AH2 N - AE0 K - S EH1 P - T AH0 - B AH0 L +UNACCEPTABLY AH2 N - AE0 K - S EH1 P - T AH0 - B L IY0 +UNACCOMPANIED AH2 N - AH0 - K AH1 M - P AH0 - N IY0 D +UNACCOUNTABLE AH2 N - AH0 - K AW1 N - T AH0 - B AH0 L +UNACCOUNTABLY AH2 N - AH0 - K AW1 N - T AH0 - B L IY0 +UNACCOUNTED AH2 N - AH0 - K AW1 N - T IH0 D +UNACCREDITED AH2 N - AH0 - K R EH1 - D IH2 - T IH0 D +UNACCUSTOMED AH2 N - AH0 - K AH1 - S T AH0 M D +UNADDRESSED AH2 N - AH0 - D R EH1 S T +UNADJUST AH2 N - AH0 - JH AH1 S T +UNADJUSTED AH2 N - AH0 - JH AH1 - S T IH0 D +UNADORN AH2 N - AH0 - D AO1 R N +UNADORNED AH2 N - AH0 - D AO1 R N D +UNADULTERATED AH2 N - AH0 - D AH1 L - T ER0 - EY2 - T IH0 D +UNAFFECTED AH2 N - AH0 - F EH1 K - T IH0 D +UNAFFILIATE AH0 N - AH0 - F IH1 - L IY0 - EY2 T +UNAFFILIATED AH0 N - AH0 - F IH1 - L IY0 - EY2 - T IH0 D +UNAFFORDABLE AH0 N - AH0 - F AO1 R - D AH0 - B AH0 L +UNAFRAID AH2 N - AH0 - F R EY1 D +UNAIDED AH0 N - EY1 - D IH0 D +UNALIENABLE AH0 N - EY1 - L IY0 - EH0 - N AH0 - B AH0 L +UNALIENABLE(2) AH0 N - EY1 - L Y EH0 - N AH0 - B AH0 L +UNALLOCATE AH0 - N AE1 - L AH0 - K EY2 T +UNALLOCATED AH0 - N AE1 - L AH0 - K EY2 - T IH0 D +UNALLOWABLE AH2 N - AH0 - L AW1 - AH0 - B AH0 L +UNALLOYED AH0 N - AE1 - L OY2 D +UNALTERABLE AH0 N - AO1 L - T ER0 - AH0 - B AH0 L +UNALTERABLY AH0 N - AO1 L - T ER0 - AH0 - B L IY0 +UNALTERED AH0 N - AO1 L - T ER0 D +UNAMBIGUOUS AH2 - N AE0 M - B IH1 - G Y AH0 W - AH0 S +UNAMBIGUOUSLY AH0 - N AE0 M - B IH1 - G Y UW0 - AH0 S - L IY0 +UNAMENDED AH0 N - AH0 - M EH1 N - D IH0 D +UNAMERICAN AH0 N - AH0 - M EH1 - R IH0 - K AH0 N +UNAMORTIZED AH0 - N AE1 - M ER0 - T AY2 Z D +UNANGST AO1 - N AH0 NG S T +UNANIMITY Y UW2 - N AH0 - N IH1 - M AH0 - T IY0 +UNANIMITY(2) Y UW2 - N AH0 - N IH1 - M IH0 - T IY0 +UNANIMOUS Y UW0 - N AE1 - N AH0 - M AH0 S +UNANIMOUSLY Y UW0 - N AE1 - N AH0 - M AH0 S - L IY0 +UNANNOUNCED AH2 N - AH0 - N AW1 N S T +UNANSWERABLE AH2 N - AE2 N - S ER0 - AH0 - B AH0 L +UNANSWERED AH2 N - AE1 N - S ER0 D +UNANTICIPATED AH2 N - AE0 N - T IH1 - S AH0 - P EY2 - T IH0 D +UNAPOLOGETIC AH2 N - AH0 - P AA2 - L AH0 - JH EH1 - T IH0 K +UNAPPEALING AH2 N - AH0 - P IY1 - L IH0 NG +UNAPPETIZING AH2 N - AE1 - P AH0 - T AY2 - Z IH0 NG +UNAPPRECIATED AH2 N - AH0 - P R IY1 - SH IY0 - EY2 - T IH0 D +UNAPPROVED AH2 N - AH0 - P R UW1 V D +UNARM AH0 N - AA1 R M +UNARMED AH0 N - AA1 R M D +UNASHAMED AH2 N - AH0 - SH EY1 M D +UNASHAMEDLY AH2 N - AH0 - SH EY1 - M AH0 D - L IY0 +UNASSAILABLE AH2 N - AH0 - S EY1 - L AH0 - B AH0 L +UNASSISTED AH2 N - AH0 - S IH1 - S T IH0 D +UNASSUMING AH2 N - AH0 - S UW1 - M IH0 NG +UNATTACH AH2 N - AH0 - T AE1 CH +UNATTACHED AH2 N - AH0 - T AE1 CH T +UNATTAINABLE AH2 N - AH0 - T EY1 - N AH0 - B AH0 L +UNATTENDED AH0 N - AH0 - T EH1 N - D IH0 D +UNATTRACTIVE AH2 N - AH0 - T R AE1 K - T IH0 V +UNAUDITED AH0 - N AO1 - D AH0 - T IH0 D +UNAUTHENTIC AH2 N - AO0 - TH EH1 N - T IH0 K +UNAUTHORIZED AH0 N - AO1 - TH ER0 - AY2 Z D +UNAVAILABILITY AH0 N - AH0 - V EY2 - L AH0 - B IH1 - L IH0 - T IY0 +UNAVAILABLE AH2 N - AH0 - V EY1 - L AH0 - B AH0 L +UNAVAILING AH2 N - AH0 - V EY1 - L IH0 NG +UNAVOIDABLE AH2 N - AH0 - V OY1 - D AH0 - B AH0 L +UNAVOIDABLY AH2 N - AH0 - V OY1 - D AH0 - B L IY0 +UNAWARE AH2 N - AH0 - W EH1 R +UNAWARES AH2 N - AH0 - W EH1 R Z +UNBALANCE AH0 N - B AE1 - L AH0 N S +UNBALANCED AH0 N - B AE1 - L AH0 N S T +UNBEARABLE AH0 N - B EH1 - R AH0 - B AH0 L +UNBEARABLY AH0 N - B EH1 - R AH0 - B L IY0 +UNBEATABLE AH2 N - B IY1 - T AH0 - B AH0 L +UNBEATEN AH0 N - B IY1 - T AH0 N +UNBECOMING AH2 N - B IH0 - K AH1 - M IH0 NG +UNBECOMING(2) AH2 N - B IY0 - K AH1 - M IH0 NG +UNBEKNOWN AH2 N - B IH0 - N OW1 N +UNBEKNOWN(2) AH2 N - B IY0 - N OW1 N +UNBEKNOWNST AH0 N - B IY0 - N OW1 N S T +UNBELIEVABLE AH2 N - B AH0 - L IY1 - V AH0 - B AH0 L +UNBELIEVABLY AH2 N - B AH0 - L IY1 - V AH0 - B L IY0 +UNBELIEVING AH2 N - B AH0 - L IY1 - V IH0 NG +UNBEND AH2 N - B EH1 N D +UNBENDING AH2 N - B EH1 N - D IH0 NG +UNBIASED AH2 N - B AY1 - AH0 S T +UNBLEMISHED AH0 N - B L EH1 - M IH0 SH T +UNBOLT AH1 N - B OW2 L T +UNBOLTED AH1 N - B OW2 L - T IH0 D +UNBOOK AH0 N - B UH1 K +UNBORN AH1 N - B AO1 R N +UNBOUND AH0 N - B AW1 N D +UNBOUNDED AH0 N - B AW1 N - D IH0 D +UNBOWED AH0 N - B OW1 D +UNBOWED(2) AH0 N - B AW1 D +UNBRANDED AH0 N - B R AE1 N - D IH0 D +UNBRIDLED AH0 N - B R AY1 - D AH0 L D +UNBROKEN AH0 N - B R OW1 - K AH0 N +UNBUILDABLE AH0 N - B IH1 L - D AH0 - B AH0 L +UNBUILT AH2 N - B IH1 L T +UNBUNDLE AH0 N - B AH1 N - D AH0 L +UNBUNDLING AH0 N - B AH1 N D - L IH0 NG +UNBURDEN AH0 N - B ER1 - D AH0 N +UNBURDENED AH0 N - B ER1 - D AH0 N D +UNBURNED AH0 N - B ER1 N D +UNBUTTON AH0 N - B AH1 - T AH0 N +UNBUTTONED AH0 N - B AH1 - T AH0 N D +UNCALLED AH0 N - K AO1 L D +UNCANNILY AH0 N - K AE1 - N AH0 - L IY0 +UNCANNY AH0 N - K AE1 - N IY0 +UNCAPHER AH1 N - K AH0 - F ER0 +UNCAPITALIZED AH0 N - K AE1 - P IH0 - T AH0 - L AY0 Z D +UNCARING AH0 N - K EH1 - R IH0 NG +UNCEASING AH0 N - S IY1 - S IH0 NG +UNCENSORED AH0 N - S EH1 N - S ER0 D +UNCEREMONIOUS AH2 N - S EH2 - R AH0 - M OW1 - N IY0 - AH0 S +UNCEREMONIOUSLY AH2 N - S EH2 - R AH0 - M OW1 - N IY0 - AH0 S - L IY0 +UNCERTAIN AH0 N - S ER1 - T AH0 N +UNCERTAINLY AH0 N - S ER1 - T AH0 N - L IY0 +UNCERTAINTIES AH0 N - S ER1 - T AH0 N - T IY0 Z +UNCERTAINTY AH0 N - S ER1 - T AH0 N - T IY0 +UNCHALLENGED AH0 N - CH AE1 - L IH0 N JH D +UNCHANGED AH0 N - CH EY1 N JH D +UNCHANGING AH0 N - CH EY1 N - JH IH0 NG +UNCHARACTERISTIC AH2 N - K EH2 - R IH0 K - T ER0 - IH1 - S T IH0 K +UNCHARACTERISTICALLY AH2 N - K EH2 - R IH0 K - T ER0 - IH1 - S T IH0 K - L IY0 +UNCHARTED AH0 N - CH AA1 R - T IH0 D +UNCHARTERED AH0 N - CH AA1 R - T ER0 D +UNCHECKED AH0 N - CH EH1 K T +UNCIVIL AH0 N - S IH1 - V AH0 L +UNCIVILIZED AH0 N - S IH1 - V AH0 - L AY0 Z D +UNCLAIMED AH0 N - K L EY1 M D +UNCLAMP AH0 N - K L AE1 M P +UNCLAMPS AH0 N - K L AE1 M P S +UNCLASSIFIED AH0 N - K L AE1 - S IH0 - F AY2 D +UNCLASSIFY AH0 N - K L AE1 - S IH0 - F AY2 +UNCLE AH1 NG - K AH0 L +UNCLE'S AH1 NG - K AH0 L Z +UNCLEAN AH0 N - K L IY1 N +UNCLEAR AH0 N - K L IH1 R +UNCLES AH1 NG - K AH0 L Z +UNCLUTTERED AH0 N - K L AH1 - T ER0 D +UNCOAT AH0 N - K OW1 T +UNCOATED AH0 N - K OW1 - T IH0 D +UNCOIL AH2 N - K OY1 L +UNCOILED AH2 N - K OY1 L D +UNCOLLECTABLE AH0 N - K AH0 - L EH1 K - T AH0 - B AH0 L +UNCOLLECTED AH0 N - K AH0 - L EH1 K - T IH0 D +UNCOLLECTIBLE AH0 N - K AH0 - L EH1 K - T IH0 - B AH0 L +UNCOMFORTABLE AH0 N - K AH1 M - F ER0 - T AH0 - B AH0 L +UNCOMFORTABLY AH0 N - K AH1 M F - T AH0 - B L IY0 +UNCOMMITTED AH2 N - K AH0 - M IH1 - T IH0 D +UNCOMMON AH0 N - K AA1 - M AH0 N +UNCOMMONLY AH2 N - K AA1 - M AH0 N - L IY0 +UNCOMPENSATE AH0 N - K AA1 M - P AH0 N - S EY2 T +UNCOMPENSATED AH0 N - K AA1 M - P AH0 N - S EY2 - T IH0 D +UNCOMPETITIVE AH0 N - K AH0 M - P EH1 - T AH0 - T IH0 V +UNCOMPLETE AH2 N - K AH0 M - P L IY1 T +UNCOMPLETED AH2 N - K AH0 M - P L IY1 - T IH0 D +UNCOMPLICATE AH0 N - K AA1 M - P L AH0 - K EY2 T +UNCOMPLICATED AH0 N - K AA1 M - P L AH0 - K EY2 - T IH0 D +UNCOMPROMISING AH0 N - K AA1 M - P R AH0 - M AY0 - Z IH0 NG +UNCONCEALED AH2 N - K AH0 N - S IY1 L D +UNCONCERN AH2 N - K AH0 N - S ER1 N +UNCONCERNED AH2 N - K AH0 N - S ER1 N D +UNCONDITIONAL AH2 N - K AH0 N - D IH1 - SH AH0 - N AH0 L +UNCONDITIONALLY AH2 N - K AH0 N - D IH1 - SH AH0 N - AH0 - L IY0 +UNCONDITIONALLY(2) AH2 N - K AH0 N - D IH1 SH - N AH0 - L IY0 +UNCONFINED AH2 N - K AH0 N - F AY1 N D +UNCONFIRMED AH2 N - K AH0 N - F ER1 M D +UNCONNECTED AH2 N - K AH0 - N EH1 K - T IH0 D +UNCONSCIONABLE AH0 N - K AA1 N - SH AH0 N - AH0 - B AH0 L +UNCONSCIOUS AH2 N - K AA1 N - SH AH0 S +UNCONSCIOUSLY AH2 N - K AA1 N - SH AH0 S - L IY0 +UNCONSCIOUSNESS AH2 N - K AA1 N - SH AH0 S - N IH0 S +UNCONSOLIDATED AH0 N - K AH0 N - S AA1 - L AH0 - D EY2 - T IH0 D +UNCONSTITUTIONAL AH2 N - K AA2 N - S T AH0 - T UW1 - SH AH0 - N AH0 L +UNCONSTITUTIONALLY AH2 N - K AA2 N - S T AH0 - T UW1 - SH AH0 N - AH0 L - IY0 +UNCONSTITUTIONALLY(2) AH2 N - K AA2 N - S T AH0 - T UW1 SH - N AH0 - L IY0 +UNCONSTRAINED AH2 N - K AH0 N - S T R EY1 N D +UNCONTAMINATED AH2 N - K AH0 N - T AE1 - M AH0 - N EY2 - T AH0 D +UNCONTESTED AH2 N - K AH0 N - T EH1 - S T IH0 D +UNCONTRADICTED AH2 N - K AO0 N - T R AH0 - D IH1 K - T IH0 D +UNCONTROLLABLE AH2 N - K AH0 N - T R OW1 - L AH0 - B AH0 L +UNCONTROLLABLY AH2 N - K AH0 N - T R OW1 - L AH0 - B L IY0 +UNCONTROLLED AH2 N - K AH0 N - T R OW1 L D +UNCONTROVERSIAL AH2 N - K AA2 N - T R AH0 - V ER1 - SH AH0 L +UNCONVENTIONAL AH2 N - K AH0 N - V EH1 N - SH AH0 - N AH0 L +UNCONVERTED AH2 N - K AH0 N - V ER1 - T IH0 D +UNCONVINCED AH2 N - K AH0 N - V IH1 N S T +UNCONVINCING AH2 N - K AH0 N - V IH1 N - S IH0 NG +UNCOOL AH2 N - K UW1 L +UNCOOPERATIVE AH0 N - K OW0 - AA1 - P ER0 - AH0 - T IH0 V +UNCOORDINATED AH0 N - K OW0 - AO1 R - D AH0 - N EY0 - T IH0 D +UNCORK AH0 N - K AO1 R K +UNCORKED AH0 N - K AO1 R K T +UNCORKS AH0 N - K AO1 R K S +UNCORRECTED AH2 N - K ER0 - EH1 K - T IH0 D +UNCORROBORATED AH2 N - K ER0 - AA1 - B ER0 - EY0 - T IH0 D +UNCOUNTED AH2 N - K AW1 N - T IH0 D +UNCOUPLE AH0 N - K AH1 - P AH0 L +UNCOUTH AH1 N - K UW1 TH +UNCOVER AH0 N - K AH1 - V ER0 +UNCOVERED AH0 N - K AH1 - V ER0 D +UNCOVERING AH0 N - K AH1 - V ER0 - IH0 NG +UNCOVERS AH2 N - K AH1 - V ER0 Z +UNCRITICAL AH0 N - K R IH1 - T IH0 - K AH0 L +UNCRITICALLY AH0 N - K R IH1 - T IH0 - K AH0 - L IY0 +UNCRITICALLY(2) AH0 N - K R IH1 - T IH0 K - L IY0 +UNCTAD AH1 N K - T AE2 D +UNCTUOUS AH1 NG - CH W AH0 S +UNCURED AH2 N - K Y ER1 D +UNCUT AH2 N - K AH1 T +UND AH1 N D +UNDAMAGED AH2 N - D AE1 - M AH0 JH D +UNDATED AH2 N - D EY1 - T IH0 D +UNDAUNTED AH0 N - D AO1 N - T IH0 D +UNDECIDED AH2 N - D IH0 - S AY1 - D IH0 D +UNDECIDEDS AH2 N - D IH0 - S AY1 - D IH0 D Z +UNDECLARED AH0 N - D IH0 - K L EH1 R D +UNDEFEATED AH2 N - D IH0 - F IY1 - T IH0 D +UNDEFINED AH2 N - D IH0 - F AY1 N D +UNDELIVERED AH2 N - D IH0 - L IH1 - V ER0 D +UNDEMOCRATIC AH2 N - D EH0 - M AH0 - K R AE1 - T IH0 K +UNDENIABLE AH2 N - D IH0 - N AY1 - AH0 - B AH0 L +UNDENIABLY AH2 N - D IH0 - N AY1 - AH0 - B L IY0 +UNDER AH1 N - D ER0 +UNDER-AGE AH1 N - D ER0 - EY1 JH +UNDERACHIEVER AH1 N - D ER0 - AH0 - CH IY2 - V ER0 +UNDERACHIEVERS AH1 N - D ER0 - AH0 - CH IY2 - V ER0 Z +UNDERAGE AH1 N - D ER0 - IH0 JH +UNDERARM AH2 N - D ER0 - AA1 R M +UNDERBELLY AH1 N - D ER0 - B EH2 - L IY0 +UNDERBERG AH1 N - D ER0 - B ER0 G +UNDERBID AH1 N - D ER0 - B IH2 D +UNDERBRUSH AH1 N - D ER0 - B R AH2 SH +UNDERCAPITALIZE AH0 N - D ER0 - K AE1 - P AH0 - T AH0 - L AY2 Z +UNDERCAPITALIZED AH0 N - D ER0 - K AE1 - P AH0 - T AH0 - L AY2 Z D +UNDERCARRIAGE AH1 N - D ER0 - K AE2 - R IH0 JH +UNDERCLASS AH1 N - D ER0 - K L AE2 S +UNDERCLASSMEN AH2 N - D ER0 - K L AE1 S - M EH0 N +UNDERCOAT AH1 N - D ER0 - K OW2 T +UNDERCOOK AH0 N - D ER0 - K UH1 K +UNDERCOOKED AH0 N - D ER0 - K UH1 K T +UNDERCOUNT AH1 N - D ER0 - K AW2 N T +UNDERCOUNTED AH1 N - D ER0 - K AW2 N - T IH0 D +UNDERCOVER AH2 N - D ER0 - K AH1 - V ER0 +UNDERCURRENT AH1 N - D ER0 - K ER2 - AH0 N T +UNDERCURRENTS AH1 N - D ER0 - K ER2 - AH0 N T S +UNDERCUT AH1 N - D ER0 - K AH2 T +UNDERCUTS AH1 N - D ER0 - K AH2 T S +UNDERCUTTING AH1 N - D ER0 - K AH2 - T IH0 NG +UNDERDAHL AH1 N - D ER0 - D AA2 L +UNDERDEVELOP AH2 N - D ER0 - D IH0 - V EH1 - L AH0 P +UNDERDEVELOPED AH2 N - D ER0 - D IH0 - V EH1 - L AH0 P T +UNDERDEVELOPMENT AH0 N - D ER0 - D AH0 - V EH1 - L AH0 P - M AH0 N T +UNDERDOG AH1 N - D ER0 - D AO2 G +UNDERDOGS AH1 N - D ER0 - D AO2 G Z +UNDERDOWN AH1 N - D ER0 - D AW2 N +UNDEREMPLOY AH1 N - D ER0 - IH0 M - P L OY1 +UNDEREMPLOYED AH1 N - D ER0 - IH0 M - P L OY1 D +UNDEREMPLOYMENT AH0 N - D ER0 - IH0 M - P L OY1 - M AH0 N T +UNDERESTIMATE AH1 N - D ER0 - EH1 - S T AH0 - M EY2 T +UNDERESTIMATE(2) AH1 N - D ER0 - EH1 - S T AH0 - M AH0 T +UNDERESTIMATED AH1 N - D ER0 - EH1 - S T AH0 - M EY2 - T IH0 D +UNDERESTIMATES AH2 N - D ER0 - EH1 - S T IH0 - M IH0 T S +UNDERESTIMATES(2) AH2 N - D ER0 - EH1 - S T IH0 - M EY0 T S +UNDERESTIMATING AH2 N - D ER0 - EH1 - S T IH0 - M EY2 - T IH0 NG +UNDERFINANCE AH0 N - D ER0 - F IH0 - N AE1 N S +UNDERFINANCED AH0 N - D ER0 - F IH0 - N AE1 N S T +UNDERFOOT AH2 N - D ER0 - F UH1 T +UNDERFUND AH1 N - D ER0 - F AH2 N D +UNDERFUNDED AH1 N - D ER0 - F AH2 N - D IH0 D +UNDERFUNDING AH1 N - D ER0 - F AH2 N - D IH0 NG +UNDERGARMENT AH1 N - D ER0 - G AA2 R - M AH0 N T +UNDERGARMENTS AH1 N - D ER0 - G AA2 R - M AH0 N T S +UNDERGO AH2 N - D ER0 - G OW1 +UNDERGOES AH1 N - D ER0 - G OW2 Z +UNDERGOING AH2 N - D ER0 - G OW1 - IH0 NG +UNDERGONE AH2 N - D ER0 - G AO1 N +UNDERGRAD AH1 N - D ER0 - G R AE2 D +UNDERGRADUATE AH2 N - D ER0 - G R AE1 - JH AH0 W - AH0 T +UNDERGRADUATES AH2 N - D ER0 - G R AE1 - JH AH0 W - AH0 T S +UNDERGROUND AH1 N - D ER0 - G R AW2 N D +UNDERGROWTH AH1 N - D ER0 - G R OW2 TH +UNDERHANDED AH1 N - D ER0 - HH AE1 N - D IH0 D +UNDERHILL AH1 N - D ER0 - HH IH2 L +UNDERINSURE AH0 N - D ER0 - IH0 N - SH AO2 R +UNDERINSURED AH0 N - D ER0 - IH0 N - SH AO2 R D +UNDERKOFFLER AH1 N - D ER0 - K AH0 - F AH0 - L ER0 +UNDERLIE AH2 N - D ER0 - L AY1 +UNDERLIES AH2 N - D ER0 - L AY1 Z +UNDERLINE AH1 N - D ER0 - L AY2 N +UNDERLINED AH1 N - D ER0 - L AY2 N D +UNDERLINES AH1 N - D ER0 - L AY2 N Z +UNDERLING AH1 N - D ER0 - L IH0 NG +UNDERLINGS AH1 N - D ER0 - L IH0 NG Z +UNDERLINING AH1 N - D ER0 - L AY2 - N IH0 NG +UNDERLY AH2 N - D ER0 - L AY1 +UNDERLYING AH2 N - D ER0 - L AY1 - IH0 NG +UNDERMAN AH1 N - D ER0 - M AE2 N +UNDERMANNED AH1 N - D ER0 - M AE2 N D +UNDERMINE AH1 N - D ER0 - M AY2 N +UNDERMINED AH2 N - D ER0 - M AY1 N D +UNDERMINES AH2 N - D ER0 - M AY1 N Z +UNDERMINING AH1 N - D ER0 - M AY2 - N IH0 NG +UNDERNEATH AH2 N - D ER0 - N IY1 TH +UNDERNOURISH AH2 N - D ER0 - N ER1 - IH0 SH +UNDERNOURISHED AH2 N - D ER0 - N ER1 - IH0 SH T +UNDERPAID AH1 N - D ER0 - P EY1 D +UNDERPANTS AH1 N - D ER0 - P AE2 N T S +UNDERPASS AH1 N - D ER0 - P AE2 S +UNDERPAY AH2 N - D ER0 - P EY1 +UNDERPAYING AH1 N - D ER0 - P EY2 - IH0 NG +UNDERPAYMENT AH1 N - D ER0 - P EY2 - M AH0 N T +UNDERPAYMENTS AH1 N - D ER0 - P EY2 - M AH0 N T S +UNDERPERFORM AH1 N - D ER0 - P ER0 - F AO2 R M +UNDERPERFORMANCE AH0 N - D ER0 - P ER0 - F AO1 R - M AH0 N S +UNDERPERFORMED AH1 N - D ER0 - P ER0 - F AO2 R M D +UNDERPERFORMER AH1 N - D ER0 - P ER0 - F AO2 R - M ER0 +UNDERPERFORMING AH1 N - D ER0 - P ER0 - F AO2 R - M IH0 NG +UNDERPIN AH1 N - D ER0 - P IH2 N +UNDERPINNED AH1 N - D ER0 - P IH2 N D +UNDERPINNING AH1 N - D ER0 - P IH2 - N IH0 NG +UNDERPINNINGS AH1 N - D ER0 - P IH2 - N IH0 NG Z +UNDERPLAY AH0 N - D ER0 - P L EY1 +UNDERPLAYED AH0 N - D ER0 - P L EY1 D +UNDERPOWER AH0 N - D ER0 - P AW1 - ER0 +UNDERPOWERED AH0 N - D ER0 - P AW1 - ER0 D +UNDERPRICE AH1 N - D ER0 - P R AY2 S +UNDERPRICED AH1 N - D ER0 - P R AY2 S T +UNDERPRICING AH1 N - D ER0 - P R AY2 - S IH0 NG +UNDERPRIVILEDGED AH0 N - D ER0 - P R IH1 V - L IH0 JH D +UNDERRATE AH0 N - D ER0 - R EY1 T +UNDERRATED AH0 N - D ER0 - R EY1 - T IH0 D +UNDERREPORT AH0 N - D ER0 - R IH0 - P AO1 R T +UNDERREPORTED AH0 N - D ER0 - R IH0 - P AO1 R - T IH0 D +UNDERREPORTING AH1 N - D ER0 - R IH0 - P AO1 R - T IH0 NG +UNDERREPRESENT AH0 N - D ER0 - R EH2 - P R IH0 - Z EH1 N T +UNDERREPRESENTED AH0 N - D ER0 - R EH2 - P R IH0 - Z EH1 N - T IH0 D +UNDERSCORE AH2 N - D ER0 - S K AO1 R +UNDERSCORED AH2 N - D ER0 - S K AO1 R D +UNDERSCORES AH2 N - D ER0 - S K AO1 R Z +UNDERSCORING AH2 N - D ER0 - S K AO1 - R IH0 NG +UNDERSEA AH2 N - D ER0 - S IY1 +UNDERSEAS AH0 N - D ER0 - S IY1 Z +UNDERSECRETARY AH2 N - D ER0 - S EH1 - K R IH0 - T EH2 - R IY0 +UNDERSELL AH1 N - D ER0 - S EH2 L +UNDERSELLING AH1 N - D ER0 - S EH2 - L IH0 NG +UNDERSERVE AH0 N - D ER0 - S ER1 V +UNDERSERVED AH0 N - D ER0 - S ER1 V D +UNDERSHIRT AH1 N - D ER0 - SH ER2 T +UNDERSHIRTS AH1 N - D ER0 - SH ER2 T S +UNDERSIDE AH1 N - D ER0 - S AY2 D +UNDERSIZED AH1 N - D ER0 - S AY2 Z D +UNDERSOLD AH0 N - D ER0 - S OW1 L D +UNDERSPIN AH1 N - D ER0 - S P IH2 N +UNDERSTAFF AH1 N - D ER0 - S T AE2 F +UNDERSTAFFED AH1 N - D ER0 - S T AE2 F T +UNDERSTAND AH2 N - D ER0 - S T AE1 N D +UNDERSTANDABLE AH2 N - D ER0 - S T AE1 N - D AH0 - B AH0 L +UNDERSTANDABLY AH2 N - D ER0 - S T AE1 N - D AH0 - B L IY0 +UNDERSTANDING AH2 N - D ER0 - S T AE1 N - D IH0 NG +UNDERSTANDINGS AH0 N - D ER0 - S T AE1 N - D IH0 NG Z +UNDERSTANDS AH2 N - D ER0 - S T AE1 N D Z +UNDERSTATE AH1 N - D ER0 - S T EY2 T +UNDERSTATED AH1 N - D ER0 - S T EY2 - T IH0 D +UNDERSTATEMENT AH1 N - D ER0 - S T EY2 T - M AH0 N T +UNDERSTATES AH1 N - D ER0 - S T EY2 T S +UNDERSTATING AH1 N - D ER0 - S T EY2 - T IH0 NG +UNDERSTOOD AH2 N - D ER0 - S T UH1 D +UNDERSTORY AH1 N - D ER0 - S T AO2 - R IY0 +UNDERSTUDY AH1 N - D ER0 - S T AH2 - D IY0 +UNDERSUBSCRIBED AH0 N - D ER0 - S AH0 B - S K R AY1 B D +UNDERTAKE AH1 N - D ER0 - T EY2 K +UNDERTAKEN AH1 N - D ER0 - T EY2 - K AH0 N +UNDERTAKER AH1 N - D ER0 - T EY2 - K ER0 +UNDERTAKES AH1 N - D ER0 - T EY2 K S +UNDERTAKING AH1 N - D ER0 - T EY2 - K IH0 NG +UNDERTAKINGS AH1 N - D ER0 - T EY2 - K IH0 NG Z +UNDERTONE AH1 N - D ER0 - T OW2 N +UNDERTONES AH1 N - D ER0 - T OW2 N Z +UNDERTOOK AH2 N - D ER0 - T UH1 K +UNDERTOW AH1 N - D ER0 - T OW2 +UNDERTOWS AH1 N - D ER0 - T OW2 Z +UNDERUSE AH2 N - D ER0 - Y UW1 Z +UNDERUSED AH2 N - D ER0 - Y UW1 Z D +UNDERUTILIZE AH1 N - D ER0 - Y UW2 - T AH0 - L AY2 Z +UNDERUTILIZED AH1 N - D ER0 - Y UW2 - T AH0 - L AY2 Z D +UNDERVALUATION AH1 N - D ER0 - V AE2 L - Y UW0 - EY1 - SH AH0 N +UNDERVALUE AH1 N - D ER0 - V AE2 L - Y UW0 +UNDERVALUED AH1 N - D ER0 - V AE2 L - Y UW0 D +UNDERVALUES AH1 N - D ER0 - V AE2 L - Y UW0 Z +UNDERVALUING AH0 N - D ER0 - V AE1 L - Y UW0 - IH0 NG +UNDERWATER AH1 N - D ER0 - W AO2 - T ER0 +UNDERWAY AH2 N - D ER0 - W EY1 +UNDERWEAR AH1 N - D ER0 - W EH2 R +UNDERWEIGHT AH1 N - D ER0 - W EY2 T +UNDERWEIGHTED AH0 N - D ER0 - W EY1 - T IH0 D +UNDERWENT AH2 N - D ER0 - W EH1 N T +UNDERWITHHELD AH1 N - D ER0 - W IH2 TH - HH EH1 L D +UNDERWITHHOLD AH1 N - D ER0 - W IH2 TH - HH OW2 L D +UNDERWITHHOLDING AH1 N - D ER0 - W IH2 TH - HH OW2 L - D IH0 NG +UNDERWOOD AH1 N - D ER0 - W UH2 D +UNDERWOODS AH1 N - D ER0 - W UH2 D Z +UNDERWORLD AH1 N - D ER0 - W ER2 L D +UNDERWRITE AH1 N - D ER0 - R AY2 T +UNDERWRITER AH1 N - D ER0 - R AY2 - T ER0 +UNDERWRITER'S AH1 N - D ER0 - R AY2 - T ER0 Z +UNDERWRITERS AH1 N - D ER0 - R AY2 - T ER0 Z +UNDERWRITERS' AH1 N - D ER0 - R AY2 - T ER0 Z +UNDERWRITES AH1 N - D ER0 - R AY2 T S +UNDERWRITING AH1 N - D ER0 - R AY1 - T IH0 NG +UNDERWRITINGS AH1 N - D ER0 - R AY2 - T IH0 NG Z +UNDERWRITTEN AH1 N - D ER0 - R IH2 - T AH0 N +UNDERWROTE AH2 N - D ER0 - R OW1 T +UNDESERVED AH2 N - D IH0 - Z ER1 V D +UNDESERVING AH2 N - D IH0 - Z ER1 - V IH0 NG +UNDESIRABLE AH2 N - D IH0 - Z AY1 - R AH0 - B AH0 L +UNDETECTABLE AH0 N - D IH0 - T EH1 K - T AH0 - B AH0 L +UNDETECTED AH2 N - D IH0 - T EH1 K - T IH0 D +UNDETERMINED AH2 N - D IH0 - T ER1 - M IH0 N D +UNDETERMINED(2) AH2 N - D IY0 - T ER1 - M AH0 N D +UNDETERMINING AH2 N - D IH0 - T ER1 - M IH0 - N IH0 NG +UNDETERMINING(2) AH2 N - D IY0 - T ER1 - M AH0 - N IH0 NG +UNDETERRED AH2 N - D IH0 - T ER1 D +UNDEVELOPED AH2 N - D IH0 - V EH1 - L AH0 P T +UNDIAGNOSED AH0 N - D AY1 - AE0 G - N OW0 S T +UNDID AH0 N - D IH1 D +UNDIFFERENTIATED AH0 N - D IH0 - F ER0 - EH1 N - SH IY0 - EY2 - T IH0 D +UNDIGNIFIED AH0 N - D IH1 G - N IH0 - F AY2 D +UNDILUTE AH2 N - D AH0 - L UW1 T +UNDILUTED AH2 N - D AH0 - L UW1 - T IH0 D +UNDIMINISHED AH2 N - D AH0 - M IH1 - N IH0 SH T +UNDINE AH1 N - D IY2 N +UNDIPLOMATIC AH0 N - D IH2 - P L AH0 - M AE1 - T IH0 K +UNDIPLOMATICALLY AH0 N - D IH2 - P L AH0 - M AE1 - T IH0 K - L IY0 +UNDISCIPLINED AH0 N - D IH1 - S IH0 - P L IH0 N D +UNDISCLOSED AH2 N - D IH0 S - K L OW1 Z D +UNDISCOVERED AH2 N - D IH0 - S K AH1 - V ER0 D +UNDISGUISED AH2 N - D IH0 S - G AY1 Z D +UNDISPUTED AH2 N - D IH0 - S P Y UW1 - T IH0 D +UNDISTINGUISHED AH2 N - D IH0 - S T IH1 NG - G W IH0 SH T +UNDISTRIBUTED AH2 N - D IH0 - S T R IH1 - B Y UW0 - T IH0 D +UNDISTURBED AH2 N - D IH0 - S T ER1 B D +UNDIVERSIFIED AH2 N - D IH0 - V ER1 - S IH0 - F AY2 D +UNDIVIDED AH2 N - D AH0 - V AY1 - D IH0 D +UNDO AH0 N - D UW1 +UNDOCK AH0 N - D AA1 K +UNDOCKING AH0 N - D AA1 - K IH0 NG +UNDOCUMENTED AH0 N - D AA1 - K Y AH0 - M EH0 N - T IH0 D +UNDOCUMENTED(2) AH0 N - D AA1 - K Y AH0 - M EH0 - N IH0 D +UNDOING AH0 N - D UW1 - IH0 NG +UNDONE AH0 N - D AH1 N +UNDOUBTED AH0 N - D AW1 - T IH0 D +UNDOUBTEDLY AH0 N - D AW1 - T IH0 D - L IY0 +UNDREAMED AH0 N - D R IY1 M D +UNDRESS AH0 N - D R EH1 S +UNDRESSED AH0 N - D R EH1 S T +UNDUE AH0 N - D UW1 +UNDULATE AH1 N - JH AH0 - L EY2 T +UNDULATING AH1 N - JH AH0 - L EY2 - T IH0 NG +UNDULY AH0 N - D UW1 - L IY0 +UNDYING AH0 N - D AY1 - IH0 NG +UNEARNED AH0 N - ER1 N D +UNEARTH AH0 N - ER1 TH +UNEARTHED AH0 N - ER1 TH T +UNEARTHING AH0 N - ER1 - TH IH0 NG +UNEARTHLY AH0 N - ER1 TH - L IY0 +UNEASE AH0 N - IY1 Z +UNEASILY AH0 N - IY1 - Z AH0 - L IY0 +UNEASINESS AH2 N - IY1 - Z IY0 - N AH0 S +UNEASY AH0 N - IY1 - Z IY0 +UNECONOMIC AH0 N - EH2 - K AH0 - N AA1 - M IH0 K +UNECONOMICAL AH0 N - EH2 - K AH0 - N AA1 - M IH0 - K AH0 L +UNEDITED AH0 - N EH1 - D AH0 - T IH0 D +UNEDUCATED AH0 N - EH1 - JH UH0 - K EY2 - T IH0 D +UNELECTABLE AH2 N - IH0 - L EH1 K - T AH0 - B AH0 L +UNELECTED AH2 N - IH0 - L EH1 K - T IH0 D +UNEMOTIONAL AH2 N - IY0 - M OW1 - SH AH0 - N AH0 L +UNEMOTIONAL(2) AH2 N - AH0 - M OW1 - SH AH0 - N AH0 L +UNEMPLOY AH0 N - IH0 M - P L OY1 +UNEMPLOYABLE AH0 N - IH0 M - P L OY1 - AH0 - B AH0 L +UNEMPLOYED AH2 N - EH0 M - P L OY1 D +UNEMPLOYMENT AH2 N - IH0 M - P L OY1 - M AH0 N T +UNENCUMBER AH2 N - EH0 N - K AH1 M - B ER0 +UNENCUMBERED AH2 N - EH0 N - K AH1 M - B ER0 D +UNENDING AH0 N - EH1 N - D IH0 NG +UNENFORCEABLE AH2 N - EH0 N - F AO1 R - S AH0 - B AH0 L +UNENFORCED AH2 N - EH0 N - F AO1 R S T +UNENLIGHTENED AH2 N - EH0 N - L AY1 - T AH0 N D +UNENTHUSIASTIC AH0 N - IH0 N - TH UW0 - Z IY0 - AE1 - S T IH0 K +UNENUMERATED AH0 N - IH0 - N UW1 - M ER0 - EY2 - T IH0 D +UNENVIABLE AH0 N - EH1 N - V IY2 - AH0 - B AH0 L +UNEQUAL AH0 N - IY1 - K W AH0 L +UNEQUALED AH0 N - IY1 - K W AH2 L D +UNEQUIVOCABLY AH0 N - IH0 - K W IH1 - V AH0 - K AH0 - B L IY0 +UNEQUIVOCAL AH2 N - IH0 - K W IH1 - V AH0 - K AH0 L +UNEQUIVOCAL(2) AH2 N - IY0 - K W IH1 - V AH0 - K AH0 L +UNEQUIVOCALLY AH2 N - IY0 - K W IH1 - V AH0 - K AH0 - L IY0 +UNEQUIVOCALLY(2) AH2 N - IY0 - K W IH1 - V AH0 K - L IY0 +UNESCO Y UW0 - N EH1 - S K OW2 +UNETHICAL AH0 N - EH1 - TH IH0 - K AH0 L +UNETHICALLY AH0 N - EH1 - TH IH0 K - L IY0 +UNEVEN AH0 N - IY1 - V AH0 N +UNEVENLY AH0 N - IY1 - V AH0 N - L IY0 +UNEVENTFUL AH2 N - IY0 - V EH1 N T - F AH0 L +UNEXCITING AH0 N - IH0 K - S AY1 - T IH0 NG +UNEXERCISED AH0 N - EH1 K - S ER0 - S AY2 Z D +UNEXPECTED AH2 N - IH0 K - S P EH1 K - T IH0 D +UNEXPECTEDLY AH2 N - IH0 K - S P EH1 K - T IH0 D - L IY0 +UNEXPIRED AH2 N - IH0 K - S P AY1 - ER0 D +UNEXPLAINABLE AH2 N - IH0 K - S P L EY1 - N AH0 - B AH0 L +UNEXPLAINED AH2 N - IH0 K - S P L EY1 N D +UNEXPLODED AH2 N - IH0 K - S P L OW1 - D IH0 D +UNEXPLOITED AH0 N - IH0 K - S P L OY1 - T IH0 D +UNEXPLORED AH2 N - IH0 K - S P L AO1 R D +UNFAILING AH0 N - F EY1 - L IH0 NG +UNFAILINGLY AH0 N - F EY1 - L IH0 NG - L IY0 +UNFAIR AH0 N - F EH1 R +UNFAIR(2) AH1 N - F EH1 R +UNFAIR(3) AO2 N - F EH1 R +UNFAIRLY AH0 N - F EH1 R - L IY0 +UNFAIRNESS AH0 N - F EH1 R - N AH0 S +UNFAITHFUL AH0 N - F EY1 TH - F AH0 L +UNFAMILIAR AH2 N - F AH0 - M IH1 - L Y ER0 +UNFAMILIARITIES AH2 N - F AH0 - M IH2 - L Y EH1 - R AH0 - T IY0 Z +UNFAMILIARITY AH2 N - F AH0 - M IH2 - L Y EH1 - R AH0 - T IY0 +UNFASHIONABLE AH0 N - F AE1 - SH AH0 N - AH0 - B AH0 L +UNFATHOMABLE AH0 N - F AE1 - DH AH0 - M AH0 - B AH0 L +UNFAVORABLE AH2 N - F EY1 - V ER0 - AH0 - B AH0 L +UNFAVORABLY AH0 N - F EY1 - V ER0 - AH0 - B L IY0 +UNFAZED AH0 N - F EY1 Z D +UNFEASIBLE AH0 N - F IY1 - Z AH0 - B AH0 L +UNFEELING AH0 N - F IY1 - L IH0 NG +UNFENCED AH0 N - F EH1 N S T +UNFETTERED AH0 N - F EH1 - T ER0 D +UNFILLED AH0 N - F IH1 L D +UNFILTERED AH0 N - F IH1 L - T ER0 D +UNFINISHED AH0 N - F IH1 - N IH0 SH T +UNFIT AH0 N - F IH1 T +UNFLAGGING AH0 N - F L AE1 - G IH0 NG +UNFLAPPABLE AH0 N - F L AE1 - P AH0 - B AH0 L +UNFLATTERING AH0 N - F L AE1 - T ER0 - IH0 NG +UNFLINCHING AH0 N - F L IH1 N - CH IH0 NG +UNFOCUSED AH0 N - F OW1 - K AH0 S T +UNFOLD AH0 N - F OW1 L D +UNFOLDED AH0 N - F OW1 L - D AH0 D +UNFOLDING AH0 N - F OW1 L - D IH0 NG +UNFOLDS AH0 N - F OW1 L D Z +UNFORESEEABLE AH2 N - F AO0 R - S IY1 - AH0 - B AH0 L +UNFORESEEN AH2 N - F AO0 R - S IY1 N +UNFORGETTABLE AH2 N - F ER0 - G EH1 - T AH0 - B AH0 L +UNFORGIVABLE AH2 N - F AO0 R - G IH1 - V AH0 - B AH0 L +UNFORGIVEN AH2 N - F AO0 R - G IH1 - V AH0 N +UNFORGIVEN(2) AH2 N - F ER0 - G IH1 - V AH0 N +UNFORGIVING AH0 N - F ER0 - G IH1 - V IH0 NG +UNFORMED AH0 N - F AO1 R M D +UNFORTUNATE AH0 N - F AO1 R - CH AH0 - N AH0 T +UNFORTUNATE(2) AH0 N - F AO1 R - CH UW0 - N AH0 T +UNFORTUNATELY AH0 N - F AO1 R - CH AH0 - N AH0 T - L IY0 +UNFORTUNATELY(2) AH0 N - F AO1 R - CH UW0 - N AH0 T - L IY0 +UNFORTUNATES AH0 N - F AO1 R - CH AH0 - N AH0 T S +UNFORTUNATES(2) AH0 N - F AO1 R - CH UW0 - N AH0 T S +UNFOUNDED AH0 N - F AW1 N - D IH0 D +UNFRIENDLY AH0 N - F R EH1 N D - L IY0 +UNFROZEN AH0 N - F R OW1 - Z IH0 N +UNFULFILLED AH2 N - F UH0 L - F IH1 L D +UNFUNDED AH0 N - F AH1 N - D IH0 D +UNFUNNILY AH0 N - F AH1 - N AH0 - L IY0 +UNFURL AH0 N - F ER1 L +UNFURLED AH0 N - F ER1 L D +UNFURLING AH0 N - F ER1 - L IH0 NG +UNG AH1 NG +UNGAINLY AH0 N - G EY1 N - L IY0 +UNGAR AH1 NG - G ER0 +UNGARO UW0 NG - G AA1 - R OW0 +UNGER AH1 NG - G ER0 +UNGERER AH1 - NG ER0 - ER0 +UNGERMANN AH0 N - JH ER1 - M AH0 N +UNGLAMOROUS AH0 N - G L AE1 - M ER0 - AH0 S +UNGLUE AH0 N - G L UW1 +UNGLUED AH0 N - G L UW1 D +UNGO AH0 N - G OW1 +UNGODLY AH0 N - G AO1 D - L IY0 +UNGOVERNABLE AH0 N - G AH1 - V ER0 - N AH0 - B AH0 L +UNGRATEFUL AH0 N - G R EY1 T - F AH0 L +UNGUARDED AH0 N - G AA1 R - D IH0 D +UNHAMPERED AH0 N - HH AE1 M - P ER0 D +UNHAPPILY AH0 N - HH AE1 - P AH0 - L IY0 +UNHAPPINESS AH0 N - HH AE1 - P IY0 - N IH0 S +UNHAPPY AH0 N - HH AE1 - P IY0 +UNHARMED AH0 N - HH AA1 R M D +UNHEALTHFUL AH0 N - HH EH1 L TH - F AH0 L +UNHEALTHY AH0 N - HH EH1 L - TH IY0 +UNHEARD AH0 N - HH ER1 D +UNHEDGED AH0 N - HH EH1 JH D +UNHEEDED AH0 N - HH IY1 - D IH0 D +UNHELPFUL AH0 N - HH EH1 L P - F AH0 L +UNHERALDED AH0 N - HH EH1 - R AH0 L - D IH0 D +UNHESITATINGLY AH0 N - HH EH1 - Z IH0 - T EY2 - T IH0 NG - L IY0 +UNHINDERED AH0 N - HH IH1 N - D ER0 D +UNHINGE AH0 N - HH IH1 N JH +UNHINGED AH0 N - HH IH1 N JH D +UNHITCH AH0 N - HH IH1 CH +UNHOLY AH0 N - HH OW1 - L IY0 +UNHOOK AH0 N - HH UH1 K +UNHORSED AH0 N - HH AO1 R S T +UNHURRIED AH0 N - HH ER1 - IY0 D +UNHURT AH0 N - HH ER1 T +UNI Y UW1 - N IY0 +UNIBANCORP Y UW1 - N IH0 - B AE2 N - K AO2 R P +UNICEF Y UW1 - N AH0 - S EH2 F +UNICELLULAR Y UW2 - N IH0 - S EH1 L - Y AH0 - L ER0 +UNICENTER Y UW2 - N IH0 - S EH1 N - T ER0 +UNICOM Y UW1 - N IH0 - K AO0 M +UNICORN Y UW1 - N IH0 - K AO2 R N +UNICORP Y UW1 - N IH0 - K AO2 R P +UNICORP'S Y UW1 - N IH0 - K AO2 R P S +UNICYCLE Y UW1 - N AH0 - S AY2 - K AH0 L +UNICYCLES Y UW1 - N AH0 - S AY2 - K AH0 L Z +UNIDEN Y UW1 - N IH0 - D EH2 N +UNIDEN'S Y UW1 - N IH0 - D EH2 N Z +UNIDENTIFIED AH2 N - AY0 - D EH1 N - T AH0 - F AY2 D +UNIFICATION Y UW2 - N AH0 - F AH0 - K EY1 - SH AH0 N +UNIFIED Y UW1 - N AH0 - F AY2 D +UNIFIL Y UW1 - N IH0 - F IH0 L +UNIFORCE Y UW1 - N IH0 - F AO2 R S +UNIFORM Y UW1 - N AH0 - F AO2 R M +UNIFORMED Y UW1 - N AH0 - F AO2 R M D +UNIFORMITY Y UW2 - N AH0 - F AO1 R - M AH0 - T IY0 +UNIFORMLY Y UW1 - N AH0 - F AO2 R M - L IY0 +UNIFORMS Y UW1 - N AH0 - F AO2 R M Z +UNIFY Y UW1 - N AH0 - F AY2 +UNIFYING Y UW1 - N AH0 - F AY2 - IH0 NG +UNIGESCO Y UW1 - N IH0 - G EH2 - S K OW0 +UNIKOM Y UW1 - N IH0 - K AO0 M +UNILAB Y UW1 - N IH0 - L AE2 B +UNILATERAL Y UW2 - N AH0 - L AE1 - T ER0 - AH0 L +UNILATERALISM Y UW2 - N IH0 - L AE1 - T ER0 - AH0 - L IH2 - Z AH0 M +UNILATERALLY Y UW2 - N AH0 - L AE1 - T ER0 - AH0 - L IY0 +UNILATERALLY(2) Y UW2 - N AH0 - L AE1 - T R AH0 - L IY0 +UNILEVER Y UW2 - N IH0 - L IY1 - V ER0 +UNILEVER'S Y UW2 - N IH0 - L IY1 - V ER0 Z +UNIMAGINABLE AH2 N - IH0 - M AE1 - JH IH0 - N AH0 - B AH0 L +UNIMAGINATIVE AH0 N - IH0 - M AE1 - JH IH2 - N AH0 - T IH0 V +UNIMAGINED AH2 N - IH0 - M AE1 - JH AH0 N D +UNIMATE Y UW1 - N IH0 - M EY2 T +UNIMATION Y UW2 - N IH0 - M EY1 - SH AH0 N +UNIMEDIA Y UW2 - N IH0 - M IY1 - D IY0 - AH0 +UNIMPAIRED AH2 N - IH0 M - P EH1 R D +UNIMPEACHABLE AH2 N - IH0 M - P IY1 - CH AH0 - B AH0 L +UNIMPEDED AH2 N - IH0 M - P IY1 - D IH0 D +UNIMPORTANT AH0 N - IH0 M - P AO1 R - T AH0 N T +UNIMPRESSED AH2 N - IH0 M - P R EH1 S T +UNIMPRESSIVE AH2 N - IH0 M - P R EH1 - S IH0 V +UNIMPROVED AH2 N - IH0 M - P R UW1 V D +UNINCORPORATED AH2 N - IH0 N - K AO1 R - P ER0 - EY2 - T IH0 D +UNINDICTED AH2 N - IH0 N - D AY1 - T IH0 D +UNINFECTED AH2 N - IH0 N - F EH1 K - T IH0 D +UNINFORMATIVE AH0 N - IH0 N - F AO1 R - M AH0 - T IH0 V +UNINFORMED AH2 N - IH0 N - F AO1 R M D +UNINHABITABLE AH2 N - IH0 N - HH AE1 - B AH0 - T AH0 - B AH0 L +UNINHABITED AH2 N - IH0 N - HH AE1 - B AH0 - T IH0 D +UNINHIBITED AH2 N - IH0 N - HH IH1 - B IH0 - T IH0 D +UNINITIATED AH2 N - IH0 - N IH1 - SH IY0 - EY2 - T IH0 D +UNINITIATED(2) AH2 N - IY0 - N IH1 - SH IY0 - EY2 - T IH0 D +UNINJURED AH0 N - IH1 N - JH ER0 D +UNINSPIRED AH2 N - IH0 N - S P AY1 - ER0 D +UNINSPIRING AH0 N - IH0 N - S P AY1 - R IH0 NG +UNINSURABLE AH0 N - IH0 N - SH UH1 - R AH0 - B AH0 L +UNINSURED AH2 N - IH0 N - SH UH1 R D +UNINTELLIGIBLE AH2 N - IH0 N - T EH1 - L AH0 - JH AH0 - B AH0 L +UNINTENDED AH2 N - IH0 N - T EH1 N - D IH0 D +UNINTENTIONAL AH2 N - IH0 N - T EH1 N - SH AH0 - N AH0 L +UNINTENTIONALLY AH2 N - IH0 N - T EH1 N - SH AH0 N - AH0 - L IY0 +UNINTENTIONALLY(2) AH2 N - IH0 N - T EH1 N SH - N AH0 - L IY0 +UNINTERESTED AH0 N - IH1 N - T R AH0 - S T AH0 D +UNINTERESTING AH0 N - IH1 N - T R AH0 - S T IH0 NG +UNINTERRUPTED AH2 N - IH0 N - T ER0 - AH1 P - T IH0 D +UNINTERRUPTED(2) AH2 N - IH0 - N ER0 - AH1 P - T IH0 D +UNINTERRUPTIBLE AH0 N - IH0 N - T ER0 - AH1 P - T AH0 - B AH0 L +UNINTERRUPTIBLE(2) AH0 N - IH0 - N ER0 - AH1 P - T AH0 - B AH0 L +UNINVITED AH2 N - IH0 N - V AY1 - T IH0 D +UNINVITING AH2 N - IH0 N - V AY1 - T IH0 NG +UNINVOLVED AH0 N - IH0 N - V AO1 L V D +UNION Y UW1 - N Y AH0 N +UNION'S Y UW1 - N Y AH0 N Z +UNIONDALE Y UW1 - N Y AH0 N - D EY2 L +UNIONFED Y UW1 - N Y AH0 N - F EH2 D +UNIONISM Y UW1 - N Y AH0 - N IH2 - Z AH0 M +UNIONIST Y UW1 - N Y AH0 - N AH0 S T +UNIONISTS Y UW1 - N Y AH0 - N IH0 S T S +UNIONIZATION Y UW2 - N Y AH0 - N AH0 - Z EY1 - SH AH0 N +UNIONIZE Y UW1 - N Y AH0 - N AY2 Z +UNIONIZED Y UW1 - N Y AH0 - N AY2 Z D +UNIONIZING Y UW1 - N Y AH0 - N AY2 - Z IH0 NG +UNIONS Y UW1 - N Y AH0 N Z +UNIONS' Y UW1 - N Y AH0 N Z +UNIQUE Y UW0 - N IY1 K +UNIQUELY Y UW0 - N IY1 K - L IY0 +UNIQUENESS Y UW0 - N IY1 K - N AH0 S +UNIROYAL Y UW1 - N IH0 - R OY2 - AH0 L +UNISEX Y UW1 - N IH0 - S EH2 K S +UNISOM Y UW1 - N AH0 - S AA2 M +UNISON Y UW1 - N AH0 - S AH0 N +UNISON(2) Y UW1 - N IH0 - S AH0 N +UNISONS Y UW1 - N AH0 - S AH0 N Z +UNISONS(2) Y UW1 - N IH0 - S AH0 N Z +UNISOURCE Y UW1 - N IH0 - S AO2 R S +UNISSUED AH0 N - IH1 - SH UW2 D +UNISYS Y UW1 - N IH0 - S IH2 S +UNISYS' Y UW1 - N IH0 - S IH2 S +UNISYS'S Y UW1 - N IH0 - S IH2 - S IH0 Z +UNIT Y UW1 - N AH0 T +UNIT'S Y UW1 - N IH0 T S +UNIT(2) Y UW1 - N IH0 T +UNITA Y UW2 - N IY1 - T AH0 +UNITAF Y UW2 - N IH0 - T AE1 F +UNITARIAN Y UW2 - N AH0 - T EH1 - R IY0 - AH0 N +UNITARY Y UW1 - N IH0 - T EH2 - R IY0 +UNITAS Y UW0 - N AY1 - T AH0 S +UNITE Y UW1 - N AY2 T +UNITED Y UW0 - N AY1 - T AH0 D +UNITED'S Y UW0 - N AY1 - T AH0 D Z +UNITED(2) Y UW0 - N AY1 - T IH0 D +UNITEDBANK Y UW2 - N AY1 - T IH0 D - B AE1 NG K +UNITEK Y UW1 - N IH0 - T EH2 K +UNITEL Y UW1 - N IH0 - T EH2 L +UNITES Y UW0 - N AY1 T S +UNITHOLDER Y UW1 - N IH0 T - HH OW2 L - D ER0 +UNITHOLDERS Y UW1 - N IH0 T - HH OW2 L - D ER0 Z +UNITING Y UW0 - N AY1 - T IH0 NG +UNITRIN Y UW1 - N IH0 - T R IH2 N +UNITRIN'S Y UW1 - N IH0 - T R IH2 N Z +UNITRODE Y UW1 - N IH0 - T R OW2 D +UNITRODE'S Y UW1 - N IH0 - T R OW2 D Z +UNITS Y UW1 - N AH0 T S +UNITS' Y UW1 - N IH0 T S +UNITS(2) Y UW1 - N IH0 T S +UNITY Y UW1 - N AH0 - T IY0 +UNITY(2) Y UW1 - N IH0 - T IY0 +UNIVA Y UW1 - N IH0 - V AH0 +UNIVAR Y UW1 - N IH0 - V AA0 R +UNIVATION Y UW2 - N IH0 - V EY1 - SH AH0 N +UNIVERSAL Y UW2 - N AH0 - V ER1 - S AH0 L +UNIVERSAL'S Y UW2 - N AH0 - V ER1 - S AH0 L Z +UNIVERSALITY Y UW2 - N AH0 - V ER0 - S AE1 - L AH0 - T IY0 +UNIVERSALLY Y UW2 - N AH0 - V ER1 - S AH0 - L IY0 +UNIVERSE Y UW1 - N AH0 - V ER2 S +UNIVERSES Y UW1 - N AH0 - V ER2 - S IH0 Z +UNIVERSITIES Y UW2 - N AH0 - V ER1 - S AH0 - T IY0 Z +UNIVERSITIES' Y UW2 - N IH0 - V ER1 - S IH0 - T IY0 Z +UNIVERSITY Y UW2 - N AH0 - V ER1 - S AH0 - T IY0 +UNIVERSITY'S Y UW2 - N AH0 - V ER1 - S AH0 - T IY0 Z +UNIVISA Y UW2 - N IH0 - V IY1 - S AH0 +UNIVISION Y UW2 - N IH0 - V IH1 - ZH AH0 N +UNIX Y UW1 - N IH0 K S +UNJUST AH0 N - JH AH1 S T +UNJUSTIFIABLE AH2 N - JH AH2 - S T IH0 - F AY1 - AH0 - B AH0 L +UNJUSTIFIABLY AH2 N - JH AH2 - S T IH0 - F AY1 - AH0 - B L IY0 +UNJUSTIFIED AH0 N - JH AH1 - S T AH0 - F AY2 D +UNJUSTLY AH0 N - JH AH1 S T - L IY0 +UNKEFER AH1 NG - K IH0 - F ER0 +UNKEMPT AH0 N - K EH1 M P T +UNKIND AH0 N - K AY1 N D +UNKINDEST AH0 N - K AY1 N - D IH0 S T +UNKNOWABLE AH0 N - N OW1 - AH0 - B AH0 L +UNKNOWING AH0 N - N OW1 - IH0 NG +UNKNOWINGLY AH0 N - N OW1 - IH0 NG - L IY0 +UNKNOWN AH0 N - N OW1 N +UNKNOWNS AH0 N - OW1 N Z +UNLABELED AH0 N - L EY1 - B AH0 L D +UNLAND AH1 N - L AH0 N D +UNLAWFUL AH0 N - L AO1 - F AH0 L +UNLAWFULLY AH0 N - L AO1 - F AH0 - L IY0 +UNLEADED AH0 N - L EH1 - D AH0 D +UNLEASH AH0 N - L IY1 SH +UNLEASHED AH0 N - L IY1 SH T +UNLEASHES AH0 N - L IY1 - SH IH0 Z +UNLEASHING AH0 N - L IY1 - SH IH0 NG +UNLESS AH0 N - L EH1 S +UNLEVERAGED AH0 N - L EH1 - V R IH0 JH D +UNLICENSED AH0 N - L AY1 - S AH0 N S T +UNLIKE AH0 N - L AY1 K +UNLIKELY AH0 N - L AY1 K - L IY0 +UNLIMITED AH0 N - L IH1 - M AH0 - T AH0 D +UNLIMITED(2) AH0 N - L IH1 - M IH0 - T IH0 D +UNLINED AH0 N - L AY1 N D +UNLISTED AH0 N - L IH1 - S T IH0 D +UNLIVABLE AH0 N - L IH1 - V AH0 - B AH0 L +UNLOAD AH0 N - L OW1 D +UNLOADED AH0 N - L OW1 - D AH0 D +UNLOADED(2) AH0 N - L OW1 - D IH0 D +UNLOADING AH0 N - L OW1 - D IH0 NG +UNLOADS AH0 N - L OW1 D Z +UNLOCK AH0 N - L AA1 K +UNLOCKED AH0 N - L AA1 K T +UNLOCKING AH0 N - L AA1 - K IH0 NG +UNLOVED AH0 N - L AH1 V D +UNLUCKY AH0 N - L AH1 - K IY0 +UNMADE AH0 N - M EY1 D +UNMANAGE AH0 N - M AE1 - N IH0 JH +UNMANAGEABLE AH0 N - M AE1 - N IH0 - JH AH0 - B AH0 L +UNMANAGED AH0 N - M AE1 - N IH0 JH D +UNMANNED AH0 N - M AE1 N D +UNMARKED AH0 N - M AA1 R K T +UNMARRIED AH0 N - M EH1 - R IY0 D +UNMASK AH0 N - M AE1 S K +UNMASKED AH0 N - M AE1 S K T +UNMATCHED AH0 N - M AE1 CH T +UNMENTIONABLE AH0 N - M EH1 N - SH AH0 N - AH0 - B AH0 L +UNMENTIONED AH0 N - M EH1 N - CH AH0 N D +UNMET AH0 N - M EH1 T +UNMISTAKABLE AH2 N - M IH0 - S T EY1 - K AH0 - B AH0 L +UNMISTAKABLY AH2 N - M IH0 - S T EY1 - K AH0 - B L IY0 +UNMITIGATED AH0 N - M IH1 - T AH0 - G EY2 - T IH0 D +UNMIXED AH0 N - M IH1 K S T +UNMOLESTED AH2 N - M AH0 - L EH1 - S T IH0 D +UNMOVED AH0 N - M UW1 V D +UNNAMED AH0 N - N EY1 M D +UNNATURAL AH0 N - N AE1 - CH ER0 - AH0 L +UNNATURALLY AH0 N - N AE1 - CH ER0 - AH0 - L IY0 +UNNATURALLY(2) AH0 N - N AE1 - CH ER0 - L IY0 +UNNATURALLY(3) AH0 N - AE1 - CH ER0 - L IY0 +UNNATURALLY(4) AH0 N - N AE1 - CH R AH0 - L IY0 +UNNECESSARILY AH0 N - N EH1 - S AH0 - S EH2 - R AH0 - L IY0 +UNNECESSARY AH0 N - N EH1 - S AH0 - S EH2 - R IY0 +UNNEEDED AH0 N - N IY1 - D IH0 D +UNNERVE AH0 N - ER1 V +UNNERVED AH0 N - N ER1 V D +UNNERVING AH0 N - ER1 - V IH0 NG +UNNOTICED AH0 N - N OW1 - T IH0 S T +UNO AH0 N - OW1 +UNO(2) UW1 - N OW2 +UNOBSTRUCTED AH2 N - AH0 B - S T R AH1 K - T IH0 D +UNOBTAINABLE AH2 N - AH0 B - T EY1 - N AH0 - B AH0 L +UNOBTRUSIVE AH2 N - AH0 B - T R UW1 - S IH0 V +UNOCAL Y UW1 - N AH0 - K AE2 L +UNOCAL'S Y UW1 - N AH0 - K AE2 L Z +UNOCAL'S(2) Y UW1 - N AH0 - K AO2 L Z +UNOCAL(2) Y UW1 - N AH0 - K AO2 L +UNOCCUPIED AH0 N - AA1 - K Y AH0 - P AY2 D +UNOFFICIAL AH2 N - AH0 - F IH1 - SH AH0 L +UNOFFICIALLY AH0 N - AH0 - F IH1 - SH AH0 - L IY0 +UNOPENED AH0 N - OW1 - P AH0 N D +UNOPPOSED AH2 N - AH0 - P OW1 Z D +UNORGANIZED AH0 N - AO1 R - G AH0 - N AY2 Z D +UNORTHODOX AH0 - N AO1 R - TH AH0 - D AA2 K S +UNOS UW1 - N OW0 Z +UNOSOM Y UW1 - N OW0 - S AO2 M +UNOSOM(2) Y UW1 - N OW0 - S AH0 M +UNPACK AH0 N - P AE1 K +UNPACKED AH0 N - P AE1 K T +UNPACKING AH0 N - P AE1 - K IH0 NG +UNPAID AH0 N - P EY1 D +UNPAINTED AH0 N - P EY1 N - T IH0 D +UNPALATABLE AH0 N - P AE1 - L AH0 - T AH0 - B AH0 L +UNPARALLELED AH0 N - P EH1 - R AH0 - L EH2 L D +UNPATRIOTIC AH0 N - P EY2 - T R IY0 - AA1 - T IH0 K +UNPAYABLE AH0 N - P EY1 - AH0 - B AH0 L +UNPERTURBED AH2 N - P ER0 - T ER1 B D +UNPLACED AH0 N - P L EY1 S T +UNPLANNED AH0 N - P L AE1 N D +UNPLEASANT AH0 N - P L EH1 - Z AH0 N T +UNPLEASANTLY AH0 N - P L EH1 - Z AH0 N T - L IY0 +UNPLEASANTNESS AH0 N - P L EH1 - Z AH0 N T - N AH0 S +UNPLUG AH0 N - P L AH1 G +UNPLUGGED AH0 N - P L AH1 G D +UNPLUGGED(2) AH1 N - P L AH1 G D +UNPOPULAR AH2 N - P AA1 - P Y AH0 - L ER0 +UNPOPULARITY AH0 N - P AA2 - P Y AH0 - L EH1 - R IH0 - T IY0 +UNPRECEDENTED AH0 N - P R EH1 - S IH0 - D EH2 N - T IH0 D +UNPRECEDENTEDLY AH0 N - P R EH1 - S AH0 - D EH2 N - T IH0 D - L IY0 +UNPREDICTABILITY AH2 N - P R AH0 - D IH2 K - T AH0 - B IH1 - L IH0 - T IY0 +UNPREDICTABLE AH2 N - P R IH0 - D IH1 K - T AH0 - B AH0 L +UNPREDICTABLY AH2 N - P R IH0 - D IH1 K - T AH0 - B L IY0 +UNPREPARED AH2 N - P R IY0 - P EH1 R D +UNPRESERVED AH0 N - P R AH0 - Z ER1 V D +UNPRESERVED(2) AH0 N - P R IH0 - Z ER1 V D +UNPRESERVED(3) AH0 N - P R IY0 - Z ER1 V D +UNPRESSURIZED AH0 N - P R EH1 - SH ER0 - AY0 Z D +UNPRETENTIOUS AH2 N - P R IY0 - T EH1 N - SH AH0 S +UNPRINCIPLED AH0 N - P R IH1 N - S AH0 - P AH0 L D +UNPRINTABLE AH0 N - P R IH1 N - T AH0 - B AH0 L +UNPROCESSED AH0 N - P R AO1 - S EH2 S T +UNPRODUCTIVE AH2 N - P R AH0 - D AH1 K - T IH0 V +UNPROFESSIONAL AH2 N - P R AH0 - F EH1 - SH AH0 - N AH0 L +UNPROFITABILITY AH0 N - P R AA2 - F IH0 - T AH0 - B IH1 - L IH0 - T IY0 +UNPROFITABLE AH0 N - P R AA1 - F IH0 - T AH0 - B AH0 L +UNPROFOR AH1 - P R OW0 - F AO2 R +UNPROFOR'S AH1 - P R OW0 - F AO2 R Z +UNPROMISING AH0 N - P R AO1 - M IH0 - S IH0 NG +UNPROTECTED AH2 N - P R AH0 - T EH1 K - T IH0 D +UNPROVED AH0 N - P R UW1 V D +UNPROVEN AH0 N - P R UW1 - V AH0 N +UNPROVOKED AH2 N - P R AH0 - V OW1 K T +UNPUBLICIZED AH0 N - P AH1 - B L IH0 - S AY0 Z D +UNPUBLISHED AH0 N - P AH1 - B L IH0 SH T +UNPUNISHED AH0 N - P AH1 - N IH0 SH T +UNQUALIFIED AH0 N - K W AA1 - L IH0 - F AY2 D +UNQUESTIONABLE AH0 N - K W EH1 S - CH AH0 - N AH0 - B AH0 L +UNQUESTIONABLY AH0 N - K W EH1 S - CH AH0 - N AH0 - B L IY0 +UNQUESTIONED AH0 N - K W EH1 S - CH AH0 N D +UNQUESTIONING AH0 N - K W EH1 S - CH AH0 - N IH0 NG +UNQUOTE AH1 N - K W OW1 T +UNRATED AH0 N - R EY1 - T IH0 D +UNRATH AH1 N - R AH0 TH +UNRATIFIED AH0 N - R AE1 - T IH0 - F AY2 D +UNRAVEL AH0 N - R AE1 - V AH0 L +UNRAVELED AH0 N - R AE1 - V AH0 L D +UNRAVELING AH0 N - R AE1 - V AH0 L - IH0 NG +UNRAVELING(2) AH0 N - R AE1 - V L IH0 NG +UNRAVELS AH0 N - R AE1 - V AH0 L Z +UNREACHABLE AH0 N - R IY1 - CH AH0 - B AH0 L +UNREAD AH0 N - R EH1 D +UNREADABLE AH0 N - R IY1 - D AH0 - B AH0 L +UNREADABLE(2) AH1 N - R IY1 - D AH0 - B AH0 L +UNREAL AH0 N - R IY1 L +UNREALISTIC AH0 N - R IY2 - L IH1 - S T IH0 K +UNREALISTICALLY AH0 N - R IY2 - AH0 - L IH1 - S T IH0 K - L IY0 +UNREALITY AH2 N - R IY0 - AE1 - L AH0 - T IY0 +UNREALIZED AH0 N - R IY1 - AH0 - L AY2 Z D +UNREASONABLE AH0 N - R IY1 Z - N AH0 - B AH0 L +UNREASONABLY AH0 N - R IY1 - Z AH0 N - AH0 - B L IY0 +UNREASONING AH0 N - R IY1 Z - N IH0 NG +UNRECEPTIVE AH0 N - R IH0 - S EH1 P - T IH0 V +UNRECOGNIZABLE AH0 N - R EH2 - K AH0 G - N AY1 - Z AH0 - B AH0 L +UNRECOGNIZED AH0 N - R EH1 - K AH0 G - N AY2 Z D +UNRECONCILED AH0 N - R EH1 - K AH0 N - S AY2 L D +UNRECONSTRUCTED AH2 N - R IY0 - K AH0 N - S T R AH1 K - T IH0 D +UNRECORDED AH2 N - R IH0 - K AO1 R - D IH0 D +UNREDEEMED AH2 N - R IY0 - D IY1 M D +UNREFINED AH2 N - R IY0 - F AY1 N D +UNREFUTED AH2 N - R IY0 - F Y UW1 - T IH0 D +UNREGISTERED AH0 N - R EH1 - JH IH0 - S T ER0 D +UNREGULATED AH0 N - R EH1 - G Y AH0 - L EY2 - T IH0 D +UNREHEARSED AH0 N - R IY0 - HH ER1 S T +UNREIMBURSED AH0 N - R IY0 - IH0 M - B ER1 S T +UNREIN AO1 N - R AY0 N +UNRELATED AH2 N - R IH0 - L EY1 - T IH0 D +UNRELATED(2) AH2 N - R IY0 - L EY1 - T IH0 D +UNRELEASED AH0 N - R IH0 - L IY1 S T +UNRELENTING AH2 N - R IY0 - L EH1 N - T IH0 NG +UNRELIABILITY AH2 N - R IY0 - L AY2 - AH0 - B IH1 - L IH0 - T IY0 +UNRELIABLE AH2 N - R IH0 - L AY1 - AH0 - B AH0 L +UNRELIABLE(2) AH2 N - R IY0 - L AY1 - AH0 - B AH0 L +UNRELIEVED AH2 N - R IY0 - L IY1 V D +UNREMARKABLE AH0 N - R IH0 - M AA1 R - K AH0 - B AH0 L +UNREMARKED AH0 N - R IH0 - M AA1 R K T +UNREMITTED AH0 N - R IH0 - M IH1 - T IH0 D +UNREMITTING AH2 N - R IH0 - M IH1 - T IH0 NG +UNREMITTING(2) AH2 N - R IY0 - M IH1 - T IH0 NG +UNREPENTANT AH2 N - R IH0 - P EH1 N - T AH0 N T +UNREPENTANT(2) AH2 N - R IY0 - P EH1 N - T AH0 N T +UNREPORTED AH2 N - R IY0 - P AO1 R - T IH0 D +UNREPRESENTATIVE AH0 N - R EH2 - P R IH0 - Z EH1 N - T AH0 - T IH0 V +UNREPRESENTED AH0 N - R EH2 - P R IH0 - Z EH1 N - T IH0 D +UNREQUITED AH2 N - R IY0 - K W AY1 - T IH0 D +UNRESOLVED AH0 N - R IH0 - Z AA1 L V D +UNRESPONSIVE AH2 N - R IY0 - S P AA1 N - S IH0 V +UNREST AH0 N - R EH1 S T +UNRESTRAINED AH2 N - R IY0 - S T R EY1 N D +UNRESTRICTED AH2 N - R IY0 - S T R IH1 K - T IH0 D +UNREVISED AH0 N - R IY0 - V AY1 Z D +UNRING AH0 N - R IH1 NG +UNRIVALED AH0 N - R AY1 - V AH0 L D +UNRUE AH1 N - R UW0 +UNRUFFLED AH0 N - R AH1 - F AH0 L D +UNRUH AH1 N - R UW0 +UNRULY AH0 N - R UW1 - L IY0 +UNSAFE AH0 N - S EY1 F +UNSAID AH0 N - S EH1 D +UNSALABLE AH0 N - S EY1 - L AH0 - B AH0 L +UNSALEABLE AH0 N - S EY1 - L AH0 - B AH0 L +UNSANCTIONED AH0 N - S AE1 NG K - SH AH0 N D +UNSANITARY AH0 N - S AE1 - N AH0 - T EH2 - R IY0 +UNSATISFACTORY AH2 N - S AH0 - T IH0 S - F AE1 K - T ER0 - IY0 +UNSATISFIED AH0 N - S AE1 - T IH0 S - F AY2 D +UNSATISFYING AH0 N - S AE1 - T IH0 S - F AY2 - IH0 NG +UNSATURATED AH0 N - S AE1 - CH ER0 - EY2 - T IH0 D +UNSAVORY AH0 N - S EY1 - V ER0 - IY0 +UNSCATHED AH0 N - S K EY1 DH D +UNSCHEDULED AH0 N - S K EH1 - JH UW0 L D +UNSCIENTIFIC AH0 N - S AY2 - AH0 N - T IH1 - F IH0 K +UNSCOM AH1 N - S K AO2 M +UNSCRAMBLE AH0 N - S K R AE1 M - B AH0 L +UNSCRIPTED AH0 N - S K R IH1 P - T IH0 D +UNSCRUPULOUS AH0 N - S K R UW1 - P Y AH0 - L AH0 S +UNSEAL AH0 N - S IY1 L +UNSEALED AH0 N - S IY1 L D +UNSEASONABLY AH0 N - S IY1 - Z AH0 N - AH0 - B L IY0 +UNSEAT AH0 N - S IY1 T +UNSEATED AH0 N - S IY1 - T IH0 D +UNSEATING AH0 N - S IY1 - T IH0 NG +UNSECURED AH2 N - S IH0 - K Y UH1 R D +UNSECURED(2) AH2 N - S IY0 - K Y UH1 R D +UNSEEMLY AH0 N - S IY1 M - L IY0 +UNSEEN AH0 N - S IY1 N +UNSELL AH0 N - S EH1 L +UNSENTIMENTAL AH0 N - S EH2 N - T IH0 - M EH1 N - T AH0 L +UNSER AH1 N - S ER0 +UNSERVICEABLE AH0 N - S ER1 - V AH0 - S AH0 - B AH0 L +UNSERVICEABLE(2) AH1 N - S ER1 - V AH0 - S AH0 - B AH0 L +UNSET AH0 N - S EH1 T +UNSET(2) AH1 N - S EH1 T +UNSETTLE AH0 N - S EH1 - T AH0 L +UNSETTLED AH0 N - S EH1 - T AH0 L D +UNSETTLING AH0 N - S EH1 - T AH0 L - IH0 NG +UNSETTLING(2) AH0 N - S EH1 T - L IH0 NG +UNSHACKLE AH0 N - SH AE1 - K AH0 L +UNSHACKLED AH0 N - SH AE1 - K AH0 L D +UNSHAKABLE AH0 N - SH EY1 - K AH0 - B AH0 L +UNSHAKEABLE AH0 N - SH EY1 - K AH0 - B AH0 L +UNSHAKEN AH0 N - SH EY1 - K AH0 N +UNSHARPENED AH0 N - SH AA1 R - P AH0 N D +UNSHAVEN AH0 N - SH EY1 - V AH0 N +UNSIGHTLY AH0 N - S AY1 T - L IY0 +UNSIGNED AH0 N - S AY1 N D +UNSINKABLE AH0 N - S IH1 NG - K AH0 - B AH0 L +UNSKILLED AH0 N - S K IH1 L D +UNSMILING AH0 N - S M AY1 - L IH0 NG +UNSOLD AH0 N - S OW1 L D +UNSOLICITED AH2 N - S AH0 - L IH1 - S IH0 - T IH0 D +UNSOLVABLE AH0 N - S AA1 L - V AH0 - B AH0 L +UNSOLVED AH0 N - S AA1 L V D +UNSOPHISTICATED AH2 N - S AH0 - F IH1 - S T IH0 - K EY2 - T IH0 D +UNSOUND AH0 N - S AW1 N D +UNSPARING AH0 N - S P EH1 - R IH0 NG +UNSPEAKABLE AH0 N - S P IY1 - K AH0 - B AH0 L +UNSPECIFIED AH0 N - S P EH1 - S AH0 - F AY2 D +UNSPECTACULAR AH2 N - S P EH0 K - T AE1 - K Y AH0 - L ER0 +UNSPENT AH0 N - S P EH1 N T +UNSPOILED AH0 N - S P OY1 L D +UNSPOKEN AH0 N - S P OW1 - K AH0 N +UNSPORTSMANLIKE AH0 N - S P AO1 R T S - M AH0 N - L AY2 K +UNSTABLE AH0 N - S T EY1 - B AH0 L +UNSTAINED AH0 N - S T EY1 N D +UNSTATED AH0 N - S T EY1 - T IH0 D +UNSTEADY AH0 N - S T EH1 - D IY0 +UNSTINTING AH0 N - S T IH1 N - T IH0 NG +UNSTOPPABLE AH0 N - S T AA1 - P AH0 - B AH0 L +UNSTRUCTURED AH0 N - S T R AH1 K - SH ER0 D +UNSTUCK AH0 N - S T AH1 K +UNSUBSCRIBE AH0 N - S AH0 B - S K R AY1 B +UNSUBSCRIBED AH0 N - S AH0 B - S K R AY1 B D +UNSUBSIDIZED AH0 N - S AH1 B - S AH0 - D AY2 Z D +UNSUBSTANTIATED AH2 N - S AH0 B - S T AE1 N - SH IY0 - EY2 - T IH0 D +UNSUBTLE AH0 N - S AH1 - T AH0 L +UNSUCCESSFUL AH2 N - S AH0 K - S EH1 S - F AH0 L +UNSUCCESSFULLY AH2 N - S AH0 K - S EH1 S - F AH0 - L IY0 +UNSUITABLE AH0 N - S UW1 - T AH0 - B AH0 L +UNSUITED AH0 N - S UW1 - T IH0 D +UNSULLIED AH0 N - S AH1 - L IY0 D +UNSUNG AH0 N - S AH1 NG +UNSUPERVISED AH0 N - S UW1 - P ER0 - V AY2 Z D +UNSUPPORTABLE AH2 N - S AH0 - P AO1 R - T AH0 - B AH0 L +UNSUPPORTED AH0 N - S AH0 - P AO1 R - T IH0 D +UNSURE AH0 N - SH UH1 R +UNSURPASSED AH2 N - S ER0 - P AE1 S T +UNSURPRISING AH0 N - S ER0 - P R AY1 - Z IH0 NG +UNSURPRISINGLY AH2 N - S ER0 - P R AY1 - Z IH0 NG - L IY0 +UNSUSPECTED AH2 N - S AH0 - S P EH1 K - T IH0 D +UNSUSPECTING AH2 N - S AH0 - S P EH1 K - T IH0 NG +UNSUSTAINABLE AH2 N - S AH0 - S T EY1 - N AH0 - B AH0 L +UNSUSTAINABLY AH2 N - S AH0 - S T EY1 - N AH0 - B L IY0 +UNSWAYED AH0 N - S W EY1 D +UNSWERVING AH0 N - S W ER1 - V IH0 NG +UNSWORTH AH1 N - S W ER0 TH +UNSYMPATHETIC AH0 N - S IH2 M - P AH0 - TH EH1 - T IH0 K +UNTAINTED AH0 N - T EY1 N - T IH0 D +UNTANGLE AH0 N - T AE1 NG - G AH0 L +UNTANGLING AH0 N - T AE1 NG - L IH0 NG +UNTAPPED AH0 N - T AE1 P T +UNTAXED AH0 N - T AE1 K S T +UNTED AH0 N - T EH1 D +UNTENABLE AH0 N - T EH1 - N AH0 - B AH0 L +UNTENDERED AH0 N - T EH1 N - D ER0 D +UNTERBERG AH1 N - T ER0 - B ER0 G +UNTERMAN AH1 N - T ER0 - M AH0 N +UNTERMEYER AH1 N - T ER0 - M AY2 R +UNTERREINER AO1 N - T ER0 - AY0 - N ER0 +UNTESTED AH0 N - T EH1 - S T IH0 D +UNTHINKABLE AH0 N - TH IH1 NG - K AH0 - B AH0 L +UNTHINKING AH0 N - TH IH1 NG - K IH0 NG +UNTHINKINGLY AH0 N - TH IH1 NG - K IH0 NG - L IY0 +UNTIDY AH0 N - T AY1 - D IY0 +UNTIE AH0 N - T AY1 +UNTIED AH0 N - T AY1 D +UNTIEDT AO1 N - T IY0 T +UNTIL AH0 N - T IH1 L +UNTIMELY AH0 N - T AY1 M - L IY0 +UNTO AH1 N - T UW0 +UNTOLD AH0 N - T OW1 L D +UNTOUCHABLE AH0 N - T AH1 - CH AH0 - B AH0 L +UNTOUCHABLES AH0 N - T AH1 - CH AH0 - B AH0 L Z +UNTOUCHED AH0 N - T AH1 CH T +UNTOWARD AH0 N - T UW0 - AO1 R D +UNTOWARD(2) AH0 N - T AH0 - W AO1 R D +UNTRACEABLE AH0 N - T R EY1 - S AH0 - B AH0 L +UNTRADITIONAL AH2 N - T R AH0 - D IH1 - SH AH0 - N AH0 L +UNTRAINED AH0 N - T R EY1 N D +UNTRAMMELED AH0 N - T R AE1 - M AH0 L D +UNTREATABLE AH0 N - T R IY1 - T AH0 - B AH0 L +UNTREATED AH0 N - T R IY1 - T IH0 D +UNTRIED AH0 N - T R AY1 D +UNTROUBLED AH0 N - T R AH1 - B AH0 L D +UNTRUE AH0 N - T R UW1 +UNTRUSTWORTHY AH0 N - T R AH1 S T - W ER2 - DH IY0 +UNTRUTH AH0 N - T R UW1 TH +UNTRUTHFUL AH0 N - T R UW1 TH - F AH0 L +UNTRUTHS AH0 N - T R UW1 TH S +UNTRUTHS(2) AH0 N - T R UW1 DH S +UNTURNED AH0 N - T ER1 N D +UNTYPICAL AH0 N - T IH1 - P IH0 - K AH0 L +UNUM Y UW1 - N AH0 M +UNUM(2) UW1 - N AH0 M +UNUSABLE AH0 N - Y UW1 - Z AH0 - B AH0 L +UNUSED AH0 N - Y UW1 Z D +UNUSUAL AH0 - N Y UW1 - ZH AH0 - W AH0 L +UNUSUAL(2) AH0 - N Y UW1 - ZH UW0 - AH0 L +UNUSUAL(3) AH0 - N Y UW1 - ZH W AH0 L +UNUSUALLY AH0 - N Y UW1 - ZH AH0 W - AH0 - L IY0 +UNUSUALLY(2) AH0 - N Y UW1 - ZH UW0 - AH0 - L IY0 +UNUSUALLY(3) AH0 - N Y UW1 - ZH W AH0 - L IY0 +UNVARNISHED AH0 N - V AA1 R - N IH0 SH T +UNVEIL AH0 N - V EY1 L +UNVEILED AH0 N - V EY1 L D +UNVEILING AH0 N - V EY1 - L IH0 NG +UNVEILS AH0 N - V EY1 L Z +UNVERIFIABLE AH0 N - V EH2 - R IH0 - F AY1 - AH0 - B AH0 L +UNVERIFIED AH0 N - V EH1 - R IH0 - F AY2 D +UNVERZAGT AO1 N - V ER0 - Z AO0 G T +UNWANTED AH0 N - W AO1 N - T IH0 D +UNWARRANTED AH0 N - W AO1 - R AH0 N - T IH0 D +UNWARY AH0 N - W EH1 - R IY0 +UNWASHED AH0 N - W AA1 SH T +UNWAVERING AH0 N - W EY1 - V ER0 - IH0 NG +UNWED AH0 N - W EH1 D +UNWELCOME AH0 N - W EH1 L - K AH0 M +UNWELCOMED AH0 N - W EH1 L - K AH0 M D +UNWIELDINESS AH0 N - W IY1 L - D IY0 - N AH0 S +UNWIELDING AH0 N - W IY1 L - D IH0 NG +UNWIELDY AH0 N - W IY1 L - D IY0 +UNWILLING AH0 N - W IH1 - L IH0 NG +UNWILLINGLY AH0 N - W IH1 - L IH0 NG - L IY0 +UNWILLINGNESS AH0 N - W IH1 - L IH0 NG - N IH0 S +UNWIN AO1 N - W IH0 N +UNWIND AH0 N - W AY1 N D +UNWINDING AH0 N - W AY1 N - D IH0 NG +UNWINNABLE AH0 N - W IH1 - N AH0 - B AH0 L +UNWISE AH0 N - W AY1 Z +UNWISELY AH0 N - W AY1 Z - L IY0 +UNWITTING AH0 N - W IH1 - T IH0 NG +UNWITTINGLY AH0 N - W IH1 - T IH0 NG - L IY0 +UNWORKABLE AH0 N - W ER1 - K AH0 - B AH0 L +UNWORRIED AH0 N - W ER1 - IY0 D +UNWORTHY AH0 N - W ER1 - DH IY0 +UNWOUND AH0 N - W AW1 N D +UNWRAP AH0 N - R AE1 P +UNWRAPPED AH0 N - R AE1 P T +UNWRAPPING AH0 N - R AE1 - P IH0 NG +UNWRITTEN AH0 N - R IH1 - T AH0 N +UNYIELDING AH0 N - Y IY1 L - D IH0 NG +UNZ AH1 N Z +UNZICKER AO1 N - Z IH0 - K ER0 +UNZIP AH0 N - Z IH1 P +UNZIPPED AH0 N - Z IH1 P T +UP AH1 P +UP'S AH1 P S +UPBEAT AH1 P - B IY2 T +UPBRAID AH1 P - B R EY2 D +UPBRAIDED AH0 P - B R EY1 - D IH0 D +UPBRINGING AH1 P - B R IH2 - NG IH0 NG +UPCHURCH AH1 P - CH ER2 CH +UPCOMING AH1 P - K AH2 - M IH0 NG +UPDATE AH0 P - D EY1 T +UPDATE(2) AH1 P - D EY2 T +UPDATED AH0 P - D EY1 - T AH0 D +UPDATED(2) AH1 P - D EY2 - T AH0 D +UPDATED(3) AH1 P - D EY2 - T IH0 D +UPDATES AH0 P - D EY1 T S +UPDATES(2) AH1 P - D EY2 T S +UPDATING AH0 P - D EY1 - T IH0 NG +UPDATING(2) AH1 P - D EY2 - T IH0 NG +UPDEGRAFF AH1 P - D IH0 - G R AH0 F +UPDEGROVE UW0 P - D EH0 - G R OW1 - V IY0 +UPDIKE AH1 P - D AY2 K +UPDRAFT AH1 P - D R AE2 F T +UPDRAFTS AH1 P - D R AE2 F T S +UPDYKE AH1 P - D AY2 K +UPFRONT AH1 P - F R AH2 N T +UPGRADE AH0 P - G R EY1 D +UPGRADE(2) AH1 P - G R EY1 D +UPGRADED AH0 P - G R EY1 - D AH0 D +UPGRADED(2) AH1 P - G R EY2 - D AH0 D +UPGRADED(3) AH1 P - G R EY2 - D IH0 D +UPGRADER AH1 P - G R EY2 - D ER0 +UPGRADES AH0 P - G R EY1 D Z +UPGRADES(2) AH1 P - G R EY2 D Z +UPGRADING AH0 P - G R EY1 - D IH0 NG +UPGRADING(2) AH1 P - G R EY2 - D IH0 NG +UPHAM AH1 - P AH0 M +UPHEAVAL AH0 P - HH IY1 - V AH0 L +UPHEAVALS AH0 P - HH IY1 - V AH0 L Z +UPHELD AH0 P - HH EH1 L D +UPHILL AH1 P - HH IH1 L +UPHOFF AH1 P - HH AO2 F +UPHOLD AH0 P - HH OW1 L D +UPHOLDING AH0 P - HH OW1 L - D IH0 NG +UPHOLDS AH0 P - HH OW1 L D Z +UPHOLSTER AH0 P - OW1 L - S T ER0 +UPHOLSTERED AH0 P - OW1 L - S T ER0 D +UPHOLSTERY AH0 P - OW1 L - S T ER0 - IY0 +UPJOHN AH1 P - JH AA2 N +UPJOHN'S AH1 P - JH AA2 N Z +UPKEEP AH1 P - K IY2 P +UPLAND AH1 P - L AH0 N D +UPLANDS AH1 P - L AH0 N D Z +UPLIFT AH1 P - L IH0 F T +UPLIFTED AH1 P - L IH0 F - T IH0 D +UPLIFTING AH1 P - L IH2 F - T IH0 NG +UPLINGER UW1 - P AH0 - L IH0 - NG ER0 +UPLINGER(2) UW1 P - L IH0 - NG ER0 +UPMANSHIP AH1 P - M AH0 N - SH IH2 P +UPMARKET AH1 P - M AA2 R - K AH0 T +UPON AH0 - P AA1 N +UPP AH1 P +UPPED AH1 P T +UPPER AH1 - P ER0 +UPPERCLASS AH1 - P ER0 - K L AE2 S +UPPERMAN AH1 - P ER0 - M AH0 N +UPPERMOST AH1 - P ER0 - M OW2 S T +UPPERS AH1 - P ER0 Z +UPPING AH1 - P IH0 NG +UPPITY AH1 - P AH0 - T IY0 +UPRIGHT AH0 P - R AY1 T +UPRIGHT(2) AH1 P - R AY2 T +UPRIGHTS AH1 P - R AY2 T S +UPRISE AH1 - P R AY0 Z +UPRISING AH0 - P R AY1 - Z IH0 NG +UPRISING(2) AH1 - P R AY2 - Z IH0 NG +UPRISINGS AH1 - P R AY2 - Z IH0 NG Z +UPRIVER AH2 - P R IH1 - V ER0 +UPROAR AH1 P - R AO2 R +UPROOT AH0 P - R UW1 T +UPROOTED AH0 P - R UW1 - T IH0 D +UPROOTING AH0 P - R UW1 - T IH0 NG +UPS AH1 P S +UPSCALE AH1 P - S K EY2 L +UPSET AH0 P - S EH1 T +UPSET(2) AH1 P - S EH2 T +UPSETS AH0 P - S EH1 T S +UPSETS(2) AH1 P - S EH2 T S +UPSETTING AH0 P - S EH1 - T IH0 NG +UPSHAW AH1 P - SH AO2 +UPSHOT AH1 P - SH AA2 T +UPSHUR AH1 P - SH ER0 +UPSIDE AH1 P - S AY1 D +UPSIZE AH1 P - S AY1 Z +UPSIZING AH1 P - S AY1 - Z IH0 NG +UPSON AH1 P - S AH0 N +UPSTAGE AH0 P - S T EY1 JH +UPSTAGED AH1 P - S T EY1 JH D +UPSTAIRS AH0 P - S T EH1 R Z +UPSTANDING AH1 P - S T AE2 N - D IH0 NG +UPSTART AH1 P - S T AA2 R T +UPSTARTS AH0 P - S T AA1 R T S +UPSTATE AH1 P - S T EY1 T +UPSTREAM AH1 P - S T R IY1 M +UPSURGE AH1 P - S ER2 JH +UPSWING AH0 P - S W IH1 NG +UPSWING(2) AH1 P - S W IH2 NG +UPSWINGS AH1 P - S W IH2 NG Z +UPTAIN AH0 P - T EY1 N +UPTAKE AH1 P - T EY2 K +UPTEGROVE AH1 P - T IH0 - G R AH0 V +UPTICK AH1 P - T IH2 K +UPTICKS AH1 P - T IH2 K S +UPTIGHT AH0 P - T AY1 T +UPTON AH1 P - T AH0 N +UPTOWN AH1 P - T AW1 N +UPTREND AH1 P - T R EH2 N D +UPTURN AH0 P - T ER1 N +UPTURN(2) AH1 P - T ER2 N +UPTURNS AH1 P - T ER2 N Z +UPWARD AH1 P - W ER0 D +UPWARDLY AH1 P - W ER0 D - L IY0 +UPWARDS AH1 P - W ER0 D Z +UPWOOD AH1 P - 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Z ER0 Z +USERS' Y UW1 - Z ER0 Z +USERY Y UW1 - Z ER0 - IY0 +USES Y UW1 - S AH0 Z +USES(2) Y UW1 - S IH0 Z +USES(3) Y UW1 - Z AH0 Z +USES(4) Y UW1 - Z IH0 Z +USHER AH1 - SH ER0 +USHERED AH1 - SH ER0 D +USHERING AH1 - SH ER0 - IH0 NG +USHERS AH1 - SH ER0 Z +USINES Y UW2 - Z IY1 N Z +USING Y UW1 - Z IH0 NG +USINOR Y UW1 - S AH0 - N ER0 +USREY AH1 - S R IY0 +USRY AH1 - S R IY0 +USS Y UW1 - EH1 - S EH1 S +USSERY AH1 - S ER0 - IY0 +USTINOV UW1 - S T IH0 - N AA0 V +USTINOV(2) Y UW1 - S T IH0 - N AA0 V +USTRUST Y UW1 - EH1 S - T R AH1 S T +USUAL Y UW1 - ZH AH0 - W AH0 L +USUAL(2) Y UW1 - ZH UW0 - AH0 L +USUALLY Y UW1 - ZH AH0 W - AH0 - L IY0 +USUALLY(2) Y UW1 - ZH AH0 - L IY0 +USURP Y UW2 - S ER1 P +USURPATION Y UW2 - S ER0 - P EY1 - SH AH0 N +USURPED Y UW2 - S ER1 P T +USURPING Y UW2 - S ER1 - P IH0 NG +USURPS Y UW2 - S ER1 P S +USURY Y UW1 - ZH ER0 - IY0 +USURY(2) Y UW1 - Z ER0 - IY0 +UTAH Y UW1 - T AO2 +UTAH'S Y UW1 - T AA0 Z +UTAMARO Y UW2 - T AH0 - M AA1 - R OW0 +UTECH Y UW1 - T EH2 K +UTECHT Y UW1 - 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T OW1 - P IY0 - AH0 Z +UTSEY AH1 T - S IY0 +UTSUMI UW0 T - S UW1 - M IY0 +UTT AH1 T +UTTECH AH1 - T EH2 K +UTTER AH1 - T ER0 +UTTERANCE AH1 - T ER0 - AH0 N S +UTTERANCES AH1 - T ER0 - AH0 N - S IH0 Z +UTTERED AH1 - T ER0 D +UTTERING AH1 - T ER0 - IH0 NG +UTTERLY AH1 - T ER0 - L IY0 +UTTERS AH1 - T ER0 Z +UTZ AH1 T S +UTZINGER AH1 T - Z IH0 - NG ER0 +UVA Y UW1 - V AH0 +UVA(2) Y UW1 - V IY1 - EY1 +UWE Y UW1 +UY UW1 - IY0 +UY(2) Y UW1 - W AY1 +UYEDA AY0 - IY1 - D AH0 +UYEHARA UW0 - Y EY0 - HH AA1 - R AH0 +UYENO AY0 - EY1 - N OW0 +UYS Y UW1 - IY0 Z +UYS(2) Y UW1 - W AY1 - EH1 S +UZBEK UW1 Z - B EH0 K +UZBEKISTAN UW0 Z - B EH1 - K IH0 - S T AE2 N +UZBEKS UW1 Z - B EH0 K S +UZELAC AH0 - Z EH1 - L AH0 K +UZI UW1 - Z IY0 +UZIS UW1 - Z IY0 Z +UZMACK UW1 Z - M AE2 K +UZZELL UW0 - Z EH1 L +UZZLE AH1 - Z AH0 L +U_S_M_C Y UW1 - EH1 - S EH1 M - S IY1 +V V IY1 +V'S V IY1 Z +V. V IY1 +V.'S V IY1 Z +V.S V IY1 Z +VAAL V AA1 L +VAAPENFABRIKK V AA2 - P EH1 N - F AH0 - B R IH0 K +VAAPENFABRIKK(2) V AA1 - P AH0 N - F AA2 - B R IH0 K +VACA V AE1 - K AH0 +VACANCIES V EY1 - K AH0 N - S IY0 Z +VACANCY V EY1 - K AH0 N - S IY0 +VACANT V EY1 - K AH0 N T +VACANTI V AH0 - K AE1 N - T IY0 +VACATE V EY1 - K EY0 T +VACATED V EY0 - K EY1 - T AH0 D +VACATED(2) V EY1 - K EY0 - T AH0 D +VACATING V EY1 - K EY0 - T IH0 NG +VACATION V EY0 - K EY1 - SH AH0 N +VACATIONED V EY0 - K EY1 - SH AH0 N D +VACATIONER V EY0 - K EY1 - SH AH0 N - ER0 +VACATIONERS V EY0 - K EY1 - SH AH0 N - ER0 Z +VACATIONERS' V EY0 - K EY1 - SH AH0 N - ER0 Z +VACATIONING V EY0 - K EY1 - SH AH0 N - IH0 NG +VACATIONING(2) V EY0 - K EY1 SH - N IH0 NG +VACATIONS V EY0 - K EY1 - SH AH0 N Z +VACAVILLE V AE1 - K AH0 - V IH2 L +VACCA V AE1 - K AH0 +VACCARELLA V AA0 - K ER0 - EH1 - L AH0 +VACCARO V AH0 - K AA1 - R OW0 +VACCINATE V AE1 K - S AH0 - N EY0 T +VACCINATED V AE1 K - S AH0 - N EY0 - T IH0 D +VACCINATION V AE0 K - S AH0 - N EY1 - SH AH0 N +VACCINATIONS V AE2 K - S AH0 - N EY1 - SH AH0 N Z +VACCINE V AE2 K - S IY1 N +VACCINE'S V AE2 K - S IY1 N Z +VACCINES V AE2 K - S IY1 N Z +VACCINIA V AH0 - CH IY1 - N IY0 - AH0 +VACCO V AE1 - K OW0 +VACEK V AA1 - CH EH2 K +VACHA V AE1 - CH AH0 +VACHON V AE1 - CH AH0 N +VACILLATE V AE1 - S AH0 - L EY2 T +VACILLATED V AE1 - S AH0 - L EY0 - T IH0 D +VACILLATING V AE1 - S AH0 - L EY2 - T IH0 NG +VACILLATION V AE2 - S AH0 - L EY1 - SH AH0 N +VACLAV V AE1 K - L AA2 V +VACLAV(2) V AA1 - K L AA2 V +VACLAVIK V AE1 K - L AH0 - V IH0 K +VACUOUS V AE1 - K Y UW0 - AH0 S +VACUTAINER V AE1 - K Y UW0 - T EY2 - N ER0 +VACUUM V AE1 - K Y UW0 M +VACUUMING V AE1 - K Y UW0 - M IH0 NG +VACUUMS V AE1 - K Y UW0 M Z +VADALA V AA0 - D AA1 - L AH0 +VADAS V AA1 - D AA0 Z +VADEHRA V AH0 - D EY1 - R AH0 +VADEN V EY1 - D AH0 N +VADER V EY1 - D ER0 +VADIM V AA0 - D IY1 M +VADNAIS V AH0 D - N EY1 +VADNEY V AE1 D - N IY0 +VAETH V IY1 TH +VAGABOND V AE1 - G AH0 - B AA0 N D +VAGABONDS V AE1 - G AH0 - B AA0 N D Z +VAGARIES V EY1 - G ER0 - IY0 Z +VAGARY V EY1 - G ER0 - IY0 +VAGELOS V AH0 - JH EH1 - L OW0 S +VAGINA V AH0 - JH AY1 - N AH0 +VAGINAL V AH0 - JH AY1 - N AH0 L +VAGRANCY V EY1 - G R AH0 N - S IY0 +VAGRANT V EY1 - G R AH0 N T +VAGRANTS V EY1 - G R AH0 N T S +VAGUE V EY1 G +VAGUELY V EY1 G - L IY0 +VAGUENESS V EY1 G - N IH0 S +VAGUER V EY1 - G ER0 +VAGUEST V EY1 - G IH0 S T +VAGUINE V AH0 - G W IY1 N +VAHEY V AE1 - HH IY0 +VAHID V AA0 - HH IY1 D +VAHL V AA1 L +VAHLE V EY1 - HH AH0 L +VAIL V EY1 L +VAILE V EY1 L +VAILLANCOURT V EY1 - L AH0 N - K AO2 R T +VAIN V EY1 N +VAINLY V EY1 N - L IY0 +VAJDA V AY1 - D AH0 +VAJNA V AY1 - N AH0 +VAKUF V AE1 - K AH2 F +VAL V AE1 L +VALA V AA1 - L AH0 +VALABLE V AE1 - L AH0 - B AH0 L +VALADE V AA0 - L AA1 - D EY0 +VALADEZ V AA0 - L AA1 - D EH0 Z +VALASEK V AH0 - L AA1 - S EH0 K +VALBORGA V AA0 L - B AO1 R - G AH0 +VALCOURT V AH0 L - K AO1 R T +VALDA V AA1 L - D AH0 +VALDEMAR V AA0 L - D EY0 - M AA1 R +VALDERRAMA V AA0 L - D EH0 - R AA1 - M AH0 +VALDES V AE0 L - 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T AY2 N +VALENTINE'S V AE1 - L AH0 N - T AY2 N Z +VALENTINES V AE1 - L AH0 N - T AY2 N Z +VALENTINI V AE2 - L AH0 N - T IY1 - N IY0 +VALENTINO V AE2 - L AH0 N - T IY1 - N OW0 +VALENTINO'S V AE2 - L AH0 N - T IY1 - N OW0 Z +VALENZA V AH0 - L EH1 N - Z AH0 +VALENZANO V AE2 - L EH0 N - Z AA1 - N OW0 +VALENZUELA V AA0 - L EH0 N - Z UW1 - L AH0 +VALEO V AE1 - L IY0 - OW0 +VALERA V AH0 - L EH1 - R AH0 +VALERI V AA0 - L EH1 - R IY0 +VALERIA V AH0 - L IY1 - R IY0 - AH0 +VALERIAN V AH0 - L IH1 - R IY0 - AH0 N +VALERIANO V AA0 - L ER0 - IY0 - AA1 - N OW0 +VALERIE V AE1 - L ER0 - IY0 +VALERIO V AH0 - L IY1 - R IY0 - OW0 +VALERO V AH0 - L EH1 - R OW0 +VALERY V AE1 - L ER0 - IY0 +VALES V EY1 L Z +VALESKA V AA0 - L EY1 - S K AH0 +VALET V AE0 - L EY1 +VALHALLA V AE2 L - HH AE1 - L AH0 +VALHI V AE1 L - HH IY0 +VALIA V AE1 L - Y AH0 +VALIANT V AE1 L - Y AH0 N T +VALIANTLY V AE1 L - Y AH0 N T - L IY0 +VALID V AE1 - L AH0 D +VALID(2) V AE1 - L IH0 D +VALIDA V AA0 - L IY1 - D AH0 +VALIDATE V AE1 - L AH0 - D EY0 T +VALIDATED V AE1 - L AH0 - D EY0 - T AH0 D +VALIDATES V AE1 - L AH0 - D EY2 T S +VALIDATING V AE1 - L AH0 - D EY2 - T IH0 NG +VALIDATION V AE2 - L AH0 - D EY1 - SH AH0 N +VALIDITY V AH0 - L IH1 - D AH0 - T IY0 +VALIDITY(2) V AH0 - L IH1 - D IH0 - T IY0 +VALIDLY V AE1 - L IH0 D - L IY0 +VALIENTE V AA0 - L IY1 N - T IY0 +VALIN V AE1 - L IH0 N +VALIQUETTE V AE1 - L IH0 - K EH2 T +VALIS V AE1 - L IH0 S +VALIUM V EY1 - L IY0 - AH0 M +VALK V AO1 K +VALKO V AE1 L - K OW0 +VALLA V AE1 - L AH0 +VALLADARES V AA0 - L AA0 - D AA1 - R EH0 S +VALLANCE V AE1 - L AH0 N S +VALLANDINGHAM V AE0 - L AH1 N - D IH0 NG - HH AE2 M +VALLARIO V AA0 - L AA1 - R IY0 - OW0 +VALLARTA V AE2 - L AA1 R - T AH0 +VALLAS V AE1 - L AH0 Z +VALLE V EY1 L +VALLEAU V AH0 - L OW1 +VALLEE V AE1 - L IY0 +VALLEJO V AA0 - L EY1 - Y OW0 +VALLEJOS V AA0 - L EY1 - Y OW0 Z +VALLELY V EY1 - L IY0 +VALLELY(2) V AE1 - L IY0 +VALLERY V AE1 - L ER0 - IY0 +VALLES V EY1 L Z +VALLETTE V AE2 - L EH1 T +VALLEY V AE1 - L IY0 +VALLEY'S V AE1 - L IY0 Z +VALLEYS V AE1 - L IY0 Z +VALLEZ V AA0 - L EH1 Z +VALLI V AE1 - L IY0 +VALLIANT V AA0 - L IY1 - AH0 N T +VALLIE V AO1 - L IY0 +VALLIER V AE1 - L IY0 - ER0 +VALLIERE V AE1 - L IY0 - EH0 R +VALLIS V AE1 - L IH0 S +VALLO V AE1 - L OW0 +VALLONE V AA0 - L OW1 - N IY0 +VALLOT V AE1 - L AH0 T +VALLS V AO1 L Z +VALMEYER V AE1 L - M AY0 - ER0 +VALMONT V AO1 L - M AA2 N T +VALOIS V AE0 L - W AA1 +VALONE V AH0 - L OW1 N +VALONIA V AH0 - L OW1 - N Y AH0 +VALOR V AE1 - L ER0 +VALOREE V AE1 - L ER0 - IY1 +VALORES V AH0 - L AO1 - R EH0 Z +VALPARAISO V AE2 L - P ER0 - EY1 - S OW0 +VALSELLA V AO0 L - S EH1 - L AH0 +VALSPAR V AE1 L Z - P AA0 R +VALTEK V AO1 L - T EH2 K +VALTIERRA V AA0 L - T IH1 - R AH0 +VALU V AE1 L - Y UW0 +VALUABLE V AE1 L - Y AH0 - B AH0 L +VALUABLE(2) V AE1 L - Y UW0 - B AH0 L +VALUABLES V AE1 L - Y AH0 - B AH0 L Z +VALUABLES(2) V AE1 L - Y UW0 - B AH0 L Z +VALUATION V AE0 L - Y UW0 - EY1 - SH AH0 N +VALUATIONS V AE0 L - Y UW0 - EY1 - SH AH0 N Z +VALUE V AE1 L - Y UW0 +VALUED V AE1 L - Y UW0 D +VALUELESS V AE1 L - Y UW0 - L AH0 S +VALUEPOINT V AE1 L - Y UW0 - P OY2 N T +VALUES V AE1 L - Y UW0 Z +VALUES' V AE1 L - Y UW0 Z +VALUEVISION V AE1 L - Y UW0 - V IH2 - ZH AH0 N +VALUING V AE1 L - Y UW0 - IH0 NG +VALUJET V AE1 L - Y UW0 - JH EH2 T +VALUJET'S V AE1 L - Y UW0 - JH EH2 T S +VALUKAS V AH0 - L UW1 - K AH0 S +VALVANO V AA0 L - V AA1 - N OW0 +VALVE V AE1 L V +VALVERDE V AA0 L - V EH1 R - D EY0 +VALVES V AE1 L V Z +VALVO V AA1 L - V OW0 +VALVOLINE V AE1 L - V AH0 - L IY2 N +VAMOS V AA1 - M OW0 Z +VAMP V AE1 M P +VAMPIRE V AE1 M - P AY0 R +VAMPIRE'S V AE1 M - P AY0 R Z +VAMPIRES V AE1 M - P AY0 R Z +VAMPIRIC V AE0 M - P IH1 - R IH0 K +VAN V AE1 N +VAN-GOGH V AE1 N - G OW1 +VANA V AE1 - N AH0 +VANACKER V AE0 - N AE1 - K ER0 +VANACORE V AA0 - N AA0 - K AO1 - R IY0 +VANADIUM V AH0 - N EY1 - D IY0 - AH0 M +VANAKEN V AE1 - N AH0 - K AH0 N +VANALLEN V AH0 - N AO1 - L AH0 N +VANALSTINE V AE0 - N AE1 L - S T IY0 N +VANALSTYNE V AE1 - N AH0 L - S T AY2 N +VANAMAN V AE0 - N AO1 - M AH0 N +VANAMBURG V AE0 - N AE1 M - B ER0 G +VANAMBURGH V AE0 - N AE1 M - B ER0 G +VANANTWERP V AH0 - N AE1 N T - W ER0 P +VANARSDALE V AE1 - N ER0 Z - D EY2 L +VANARSDALL V AH0 - N AA1 R S - D AH0 L +VANASSE V AE0 - N AE1 S +VANATTA V AA0 - N AA1 - T AH0 +VANATTER V AA0 - N AE1 - T ER0 +VANAUKEN V AE0 - N AW1 - K AH0 N +VANAUSDALL V AE0 - N AW1 S - D AH0 L +VANBEBBER V AE2 N - B EH1 - B ER0 +VANBEEK V AE2 N - B IY1 K +VANBENSCHOTEN V AE0 N - B EH1 N - SH AH0 - T AH0 N +VANBERGEN V AE0 N - B ER1 - G AH0 N +VANBIBBER V AE2 N - B IH1 - B ER0 +VANBLARCOM V AE2 N - B L AA1 R - K AH0 M +VANBLARICOM V AE2 N - B L AE1 - R IH0 - K AH0 M +VANBROCKLIN V AE2 N - B R AA1 - K L IH0 N +VANBRUNT V AE2 N - B R AH1 N T +VANBUREN V AE0 N - B Y UW1 - R AH0 N +VANBUSKIRK V AE2 N - B AH1 - S K ER0 K +VANCAMP V AE2 N - K AE1 M P +VANCAMPEN V AE2 N - K AE1 M - P AH0 N +VANCE V AE1 N S +VANCIL V AE1 N - S AH0 L +VANCISE V AA1 N - CH AY0 S +VANCLEAVE V AE1 N - K L AH0 V +VANCLEEF V AE2 N - K L IY1 F +VANCLEVE V AE2 N - K L IY1 V +VANCOMYCIN V AE2 N - K OW0 - M AY1 - S IH0 N +VANCOTT V AH0 N - K AA1 T +VANCOURT V AH0 N - K AO1 R T +VANCOUVER V AE0 N - K UW1 - V ER0 +VANCOUVER'S V AE0 N - K UW1 - V ER0 Z +VANCURA V AA0 N - K UH1 - R AH0 +VANCUREN V AE0 N - K Y UW1 - R AH0 N +VANDAELE V AE0 N - D EH1 L +VANDAGRIFF V AE2 N - D AE1 - G R IH0 F +VANDAGRIFF(2) V AE1 N - D AH0 - G R IH0 F +VANDAL V AE1 N - D AH0 L +VANDALEN V AE2 N - D AE1 - L AH0 N +VANDALISM V AE1 N - D AH0 - L IH0 - Z AH0 M +VANDALIZE V AE1 N - D AH0 - L AY2 Z +VANDALIZED V AE1 N - D AH0 - L AY2 Z D +VANDALIZING V AE1 N - D AH0 - L AY2 - Z IH0 NG +VANDALL V AE2 N - D AO1 L +VANDALS V AE1 N - D AH0 L Z +VANDAM V AE2 N - D AE1 M +VANDAMME V AE2 N - D AE1 M +VANDE V AE1 N D +VANDEBERG V AE1 N - D AH0 - B ER0 G +VANDECAR V AE1 N - D AH0 - K AA2 R +VANDEGRIFT V AE1 N - D AH0 - G R IH0 F T +VANDEHEI V AE1 N - D AH0 - HH AY0 +VANDEHEY V AE1 N - D IH0 - HH IY0 +VANDELLA V AE2 N - D EH1 - L AH0 +VANDELLAS V AE2 N - D EH1 - L AH0 Z +VANDEMAN V AE1 N - D AH0 - M AH0 N +VANDEMARK V AE1 N - D AH0 - M AA2 R K +VANDEN V AE1 N - D AH0 N +VANDENBERG V AE1 N - D AH0 N - B ER0 G +VANDENBERGH V AE1 N - D AH0 N - B ER0 G +VANDENBERGHE V AE1 N - D AH0 N - B ER0 G +VANDENBOOM V AE1 N - D AH0 N - B UW2 M +VANDENBOS V AE1 N - D AH0 N - B OW0 Z +VANDENBOSCH V AE1 N - D AH0 N - B AO2 SH +VANDENBRINK V AE1 N - D AH0 N - B R IH0 NG K +VANDENBURG V AE1 N - D AH0 N - B ER0 G +VANDENBURGH V AE1 N - D AH0 N - B ER0 G +VANDENHEUVEL V AE1 N - D AH0 N - HH OY0 - V AH0 L +VANDER V AE1 N - D ER0 +VANDERBECK V AE1 N - D ER0 - B EH2 K +VANDERBEEK V AE1 N - D ER0 - B IY2 K +VANDERBERG V AE1 N - D ER0 - B ER0 G +VANDERBILT V AE1 N - D ER0 - B IH0 L T +VANDERBURG V AE1 N - D ER0 - B ER0 G +VANDERBUSH V AE1 N - D ER0 - B UH0 SH +VANDERCOOK V AE1 N - D ER0 - K UH2 K +VANDERFORD V AE1 N - D ER0 - F ER0 D +VANDERGRIFF V AE1 N - D ER0 - G R IH0 F +VANDERGRIFT V AE1 N - D ER0 - G R IH0 F T +VANDERGRIFT'S V AE1 N - D ER0 - G R IH2 F T S +VANDERHEIDE V AE1 N - D ER0 - HH AY2 D +VANDERHEIDEN V AE1 N - D ER0 - HH AY0 - D AH0 N +VANDERHEYDEN V AE1 N - D ER0 - HH EY0 - D AH0 N +VANDERHOEF V AE1 N - D ER0 - HH OW2 F +VANDERHOFF V AE1 N - D ER0 - HH AO2 F +VANDERHOOF V AE1 N - D ER0 - HH UH2 F +VANDERHORST V AE1 N - D ER0 - HH AO2 R S T +VANDERKOLK V AE1 N - D ER0 - K OW2 K +VANDERKOOI V AE1 N - D ER0 - K UW2 - IY0 +VANDERLAAN V AE1 N - D ER0 - L AA2 N +VANDERLEEST V AE1 N - D ER0 - AH0 - L IY2 S T +VANDERLINDE V AE1 N - D ER0 - L IH2 N D +VANDERLINDEN V AE1 N - D ER0 - L IH2 N - D AH0 N +VANDERLIP V AE1 N - D ER0 - L IH2 P +VANDERMARK V AE1 N - D ER0 - M AA2 R K +VANDERMEER V AE1 N - D ER0 - M IH2 R +VANDERMEULEN V AE1 N - D ER0 - M OY2 - L AH0 N +VANDERMOLEN V AE1 N - D ER0 - M AA2 - L AH0 N +VANDERPLOEG V AE1 N - D ER0 - P L OW2 G +VANDERPOEL V AE1 N - D ER0 - P OW2 L +VANDERPOL V AE1 N - D ER0 - P AO2 L +VANDERPOOL V AE1 N - D ER0 - P UW2 L +VANDERSCHAAF V AE1 N - D ER0 - SH AA2 F +VANDERSLICE V AE1 N - D ER0 - S L AY2 S +VANDERSLUIS V AE1 N - D ER0 - S L UW2 - IH0 S +VANDERSLUIS(2) V AE1 N - D ER0 - S L UW2 S +VANDERVEEN V AE1 N - D ER0 - V IY2 N +VANDERVEER V AE1 N - D ER0 - V IH2 R +VANDERVELDE V AE1 N - D ER0 - V EH2 L D +VANDERVELDEN V AE1 N - D ER0 - V EH2 L - D AH0 N +VANDERVLIET V AE1 N - D ER0 V - L IY2 T +VANDERVOORT V AE1 N - D ER0 - V UH2 R T +VANDERVORT V AE1 N - D ER0 - V AO2 R T +VANDERWAL V AE1 N - D ER0 - W AA2 L +VANDERWALL V AE1 N - D ER0 - W AA2 L +VANDERWEELE V AE1 N - D ER0 - W IY2 L +VANDERWEIDE V AE1 N - D ER0 - W AY2 D +VANDERWERF V AE1 N - D ER0 - W ER2 F +VANDERWERFF V AE1 N - D ER0 - W ER2 F +VANDERWILT V AE1 N - D ER0 - W IH2 L T +VANDERWOUDE V AE1 N - D ER0 - W AW2 D +VANDERZANDEN V AE1 N - D ER0 - Z AE2 N - D AH0 N +VANDERZEE V AE1 N - D ER0 - Z IY2 +VANDEUSEN V AE0 N - D OY1 - S AH0 N +VANDEVANDER V AE1 N - D AH0 - V AE2 N - D ER0 +VANDEVEER V AE1 N - D AH0 - V IH2 R +VANDEVELDE V AE1 N - D AH0 - V EH2 L D +VANDEVEN V AE1 N - D AH0 - V AH0 N +VANDEVENDER V AE1 N - D AH0 - V EH2 N - D ER0 +VANDEVENTER V AE1 N - D AH0 - V AH0 N - T ER0 +VANDEVER V AE2 N - D IY1 - V ER0 +VANDEVOORDE V AE1 N - D AH0 - V UH0 R D +VANDEVOORT V AE1 N - D AH0 - V UH0 R T +VANDEWALKER V AE1 N - D AH0 - W AO2 - K ER0 +VANDEWALLE V AE0 N - D UW1 - EY0 L +VANDEWATER V AE1 N - D AH0 - W AO0 - T ER0 +VANDEZANDE V AE1 N - D AH0 - Z IH0 N D +VANDINE V AE2 N - D AY1 N +VANDIVER V AE1 N - D AY2 - V ER0 +VANDIVIER V AE0 N - D AY1 - V IY0 - ER0 +VANDOREN V AE0 N - D AO1 - R AH0 N +VANDORN V AE0 N - D AO1 R N +VANDRIEL V AE2 N - D R IY1 L +VANDROSS V AE2 N - D R AO1 S +VANDUNK V AE2 N - D AH1 NG K +VANDUSEN V AE0 N - D UW1 - S AH0 N +VANDUYN V AE2 N - D AY1 N +VANDUYNE V AE2 N - D AY1 N +VANDUZER V AE2 N - D UW1 - Z ER0 +VANDYCK V AE0 N - D IH1 K +VANDYK V AE1 N - D IH0 K +VANDYKE V AE2 N - D AY1 K +VANDYKEN V AE2 N - D AY1 - K AH0 N +VANDYNE V AE1 N - D AY2 N +VANE V EY1 N +VANEATON V AE1 - N AH0 - T AA0 N +VANECEK V AE0 - N EH1 - S IH0 K +VANECK V AA1 - N EH0 K +VANEGAS V AE0 - N IY1 - G AH0 Z +VANEK V AE0 - N EH1 K +VANELLA V AH0 - N EH1 - L AH0 +VANENGEN V AE0 - N EH1 - NG AH0 N +VANEPPS V AE0 - N EH1 P S +VANES V EY1 N Z +VANESS V AE1 - N AH0 S +VANESSA V AH0 - N EH1 - S AH0 +VANESSEN V AA1 - N IH0 - S AH0 N +VANETTEN V AE1 - N EH1 - T AH0 N +VANEVERY V AH0 - N EH1 - V R IY0 +VANFLEET V AE2 N - F L IY1 T +VANFOSSAN V AE0 N - F AA1 - S AH0 N +VANFOSSEN V AE0 N - F AA1 - S AH0 N +VANG V AE1 NG +VANGEL V EY1 NG - G AH0 L +VANGELDER V EY1 NG - G IH0 L - D ER0 +VANGIE V AE1 - NG IY0 +VANGIESON V AE1 NG - G IY0 - Z AH0 N +VANGILDER V AE1 NG - G IH0 L - D ER0 +VANGORDEN V AE1 NG - G ER0 - D AH0 N +VANGORDER V AE1 NG - G ER0 - D ER0 +VANGORP V AE1 NG - G ER0 P +VANGUARD V AE1 N - G AA2 R D +VANGUARD'S V AE1 N - G AA2 R D Z +VANGUILDER V AE0 N - G AY1 L - D ER0 +VANGUNDY V AH0 NG - G AH1 N - D IY0 +VANGY V AE1 N - JH IY0 +VANHALL V AE2 N - HH AO1 L +VANHANDEL V AE2 N - HH AE1 N - D AH0 L +VANHECKE V AE2 N - HH EH1 K +VANHEEL V AE2 N - HH IY1 L +VANHISE V AE0 N - HH AY1 Z +VANHOESEN V AE2 N - HH OW1 - S AH0 N +VANHOOK V AE2 N - HH UH1 K +VANHOOSE V AE2 N - HH UW1 S +VANHOOSER V AE2 N - HH UW1 - Z ER0 +VANHOOZER V AE2 N - HH UW1 - Z ER0 +VANHORN V AE0 N - HH AO1 R N +VANHORNE V AE0 N - HH AO1 R N +VANHOUSEN V AE1 N - HH AW2 - S AH0 N +VANHOUTEN V AE0 N - HH AA1 - UW0 - T AH0 N +VANHOVE V AE0 N - HH AH1 V +VANHOY V AE1 N - HH OY0 +VANHUSS V AE2 N - HH AH1 S +VANHYNING V AE2 N - HH AY1 - N IH0 NG +VANIA V AA1 - N IY0 - AH0 +VANIER V AE0 - N IY1 - ER0 +VANIK V AA1 - N IH0 K +VANILLA V AH0 - N IH1 - L AH0 +VANILLI V AH0 - N IH1 - L IY0 +VANILLIN V AH0 - N IH1 - L IH0 N +VANISH V AE1 - N IH0 SH +VANISHED V AE1 - N IH0 SH T +VANISHES V AE1 - N IH0 - SH IH0 Z +VANISHING V AE1 - N IH0 - SH IH0 NG +VANITIES V AE1 - N AH0 - T IY0 Z +VANITY V AE1 - N AH0 - T IY0 +VANITY(2) V AE1 - N IH0 - T IY0 +VANKAMPEN V AE2 N - K AE1 M - P AH0 N +VANKEUREN V AE1 NG - K OY0 - R AH0 N +VANKIRK V AE1 NG - K ER0 K +VANKLEECK V AE1 NG - K L IY2 K +VANKUREN V AE1 NG - K Y UW0 - R AH0 N +VANLANDINGHAM V AE2 N - L AE1 N - D IH0 NG - HH AE2 M +VANLANEN V AE2 N - L AE1 - N AH0 N +VANLANINGHAM V AE2 N - L AE1 - N IH0 NG - HH AE2 M +VANLEER V AE0 N - L IH1 R +VANLEEUWEN V AE0 N - L UW1 - AH0 N +VANLEUVEN V AE0 N - L OY1 - V AH0 N +VANLIERE V AE0 N - L IH1 R +VANLIEW V AE1 N - L IY0 - UW0 +VANLOAN V AE1 N - L OW2 N +VANLOO V AE1 N - L UW2 +VANLUE V AE2 N - L UW1 +VANLUVEN V AE2 N - L UW1 - V AH0 N +VANMAANEN V AE2 N - M AA1 - N AH0 N +VANMARTER V AE0 N - M AA1 R - T ER0 +VANMATRE V AE0 N - M EY1 - T ER0 +VANMETER V AE0 N - M IY1 - T ER0 +VANMETRE V AE0 N - M IY1 - T ER0 +VANN V AE1 N +VANNA V AE1 - N AH0 +VANNAME V AE1 - N AH0 M +VANNATER V AE0 - N AE1 - T ER0 +VANNATTA V AA0 - N AA1 - T AH0 +VANNATTER V AE0 - N AE1 - T ER0 +VANNATTER'S V AE0 - N AE1 - T ER0 Z +VANNELLI V AA0 - N EH1 - L IY0 +VANNESS V AE0 - N IY1 S +VANNEST V AE0 - N IY1 S T +VANNGUYEN V AE0 N - G IY1 - AH0 N +VANNGUYEN(2) V AE2 - N UW0 - Y EH1 N +VANNI V AE1 - N IY0 +VANNICE V AE1 - N IH0 S +VANNIE V AE1 - N IY0 +VANNORMAN V AE0 - N AO1 R - M AH0 N +VANNORTWICK V AH0 - N AO1 R T - W IH0 K +VANNOSTRAND V AE0 - N AA1 - S T R AH0 N D +VANNOTE V AE0 - N OW1 T +VANNOY V AE1 - N OY0 +VANNUCCI V AA0 - N UW1 - CH IY0 +VANNY V AE1 - N IY0 +VANO V AA1 - N OW0 +VANORA V AE1 - N ER0 - AH0 +VANORDEN V AE0 - N AO1 R - D AH0 N +VANORDER V AE0 - N AO1 R - D ER0 +VANORMAN V AE0 - N AO1 R - M AH0 N +VANORNUM V AE0 - N AO1 R - N AH0 M +VANOSDOL V AE0 - N AA1 S - D AH0 L +VANOSS V AE0 - N AA1 S +VANOSTRAND V AE0 - N AA1 - S T R AH0 N D +VANOUS V AE1 - N AH0 S +VANOVER V AE1 - N OW2 - V ER0 +VANPATTEN V AE0 N - P AE1 - T AH0 N +VANPELT V AE2 N - P EH1 L T +VANPUTTEN V AE0 N - P AH1 - T AH0 N +VANQUISH V AE1 NG - K W IH0 SH +VANQUISHED V AE1 NG - K W IH0 SH T +VANRIPER V AE2 N - R AY1 - P ER0 +VANROEKEL V AE2 N - R OW1 - K AH0 L +VANROSSUM V AE2 N - R AA1 - S AH0 M +VANRYN V AE2 N - R IH1 N +VANS V AE1 N Z +VANSANDT V AE2 N - S AE1 N T +VANSANT V AA1 N - S AH0 N T +VANSCHAICK V AE0 N - SH AY1 K +VANSCHOICK V AE2 N - SH OY1 K +VANSCIVER V AE0 N - S K AY1 - V ER0 +VANSCOY V AE1 N - S K OY2 +VANSCOYOC V AE2 N - S K OY1 - AA0 K +VANSCYOC V AE1 N - S IY0 - AA2 K +VANSELOW V AE1 N - S IH0 - L OW0 +VANSICKEL V AE2 N - S IH1 - K AH0 L +VANSICKLE V AE2 N - S IH1 - K AH0 L +VANSKIKE V AE2 N - S K AY1 K +VANSKIVER V AE2 N - S K AY1 - V ER0 +VANSLOOTEN V AE2 N S - L UW1 - T AH0 N +VANSLYKE V AE2 N S - L AY1 K +VANSTONE V AE2 N - S T OW1 N +VANSTORY V AE2 N - S T AO1 - R IY0 +VANSTRATEN V AE2 N - S T R EY1 - T AH0 N +VANSYCKLE V AE1 N - S AY0 - K AH0 L +VANTAGE V AE1 N - T AH0 JH +VANTAGE'S V AE1 N - T IH0 - JH IH0 Z +VANTAGE(2) V AE1 N - T IH0 JH +VANTAGES V AE1 N - T IH0 - JH IH0 Z +VANTAGES(2) V AE1 - N IH0 - JH IH0 Z +VANTASSEL V AE2 N - T AE1 - S AH0 L +VANTASSELL V AE2 N - T AE1 - S AH0 L +VANTIL V AA0 N - T IY1 L +VANTILBURG V AE2 N - T IH1 L - B ER0 G +VANTINE V AA0 N - T IY1 - N IY0 +VANTOL V AE0 N - T AO1 L +VANTRAN V AE2 N - T R AE1 N +VANTREASE V AH0 N - T R IY1 S +VANTREESE V AE2 N - T R IY1 S +VANTUYL V AE0 N - T AY1 L +VANUAAKU V AE2 N - W AH0 - AA1 - K UW2 +VANUATU V AE0 - N UW0 - AA1 - T UW0 +VANUNU V AH0 - N UW1 - N UW0 +VANVALKENBURG V AE0 N - V AO1 - K AH0 N - B ER0 G +VANVALKENBURGH V AE0 N - V AE1 L - K IH0 N - B ER0 G +VANVEEN V AH0 N - V IY1 N +VANVLACK V AE2 N V - L AE1 K +VANVLECK V AE2 N - V L EH1 K +VANVLEET V AE1 N V - L IY2 T +VANVLIET V AE2 N V - L IY1 T +VANVOOREN V AE0 N - V UH1 - R AH0 N +VANVOORHIS V AE0 N - V UH1 R - HH IH0 S +VANVOORST V AE0 N - V UH1 R S T +VANVORST V AE0 N - V AO1 R S T +VANVRANKEN V AE2 N - V R AE1 NG - K AH0 N +VANWAGENEN V AE0 N - W AE1 - G AH0 - N AH0 N +VANWAGNER V AE2 N - W AE1 G - N ER0 +VANWAGONER V AE2 N - W AE1 - G AH0 - N ER0 +VANWART V AE2 N - W AO1 R T +VANWERT V AE0 N - W ER1 T +VANWEY V AE1 N - W IY0 +VANWHY V AE1 N - W IY0 +VANWIE V AE1 N - W IY0 +VANWIEREN V AE0 N - W IH1 - R AH0 N +VANWINKLE V AE2 N - W IH1 NG - K AH0 L +VANWORMER V AE0 N - W ER1 - M ER0 +VANWYCK V AE0 N - W IH1 K +VANWYHE V AE1 N - W AY0 HH +VANWYK V AE0 N - W IH1 K +VANYA V AA1 - N Y AH0 +VANYA'S V AA1 - N Y AH0 Z +VANYO V AA1 - N Y OW0 +VANZANDT V AE2 N - Z AE1 N T +VANZANT V AA1 N - Z AH0 N T +VANZANTEN V AE2 N - Z AE1 N - T AH0 N +VANZEE V AA1 N - Z IY0 +VANZILE V AA1 N - Z AY0 L +VAPID V AE1 - P IH0 D +VAPOR V EY1 - P ER0 +VAPORIZATION V EY0 - P ER0 - AH0 - Z EY1 - SH AH0 N +VAPORIZE V EY1 - P ER0 - AY2 Z +VAPORIZED V EY1 - P ER0 - AY2 Z D +VAPORS V EY1 - P ER0 Z +VAPORWARE V EY1 - P ER0 - W EH2 R +VAQUERA V AA0 - K W EH1 - R AH0 +VARA V AA1 - R AH0 +VARADY V ER0 - AA1 - D IY0 +VARANI V ER0 - AA1 - N IY0 +VARANO V AA0 - R AA1 - N OW0 +VARBLE V AA1 R - B AH0 L +VARCO V AA1 R - K OW0 +VARDEMAN V AA1 R D - M AH0 N +VARDEN V AA1 R - D AH0 N +VARDON V AA0 R - D AO1 N +VARELA V AA0 - R EY1 - L AH0 +VARES V AA1 - R EH0 S +VARES(2) V EY1 R Z +VARGA V AA1 R - G AH0 +VARGAS V AA1 R - G AH0 S +VARGASON V AA1 R - G AH0 - S AH0 N +VARGHESE V AA1 R G - HH IY0 Z +VARGO V AA1 R - G OW0 +VARI V AA1 - R IY0 +VARIABILITY V EH0 - R IY0 - AH0 - B IH1 - L IH0 - T IY0 +VARIABLE V EH1 - R IY0 - AH0 - B AH0 L +VARIABLES V EH1 - R IY0 - AH0 - B AH0 L Z +VARIAN V EH1 - R IY0 - AH0 N +VARIANCE V EH1 - R IY0 - AH0 N S +VARIANCES V EH1 - R IY0 - AH0 N - S IH0 Z +VARIANT V EH1 - R IY0 - AH0 N T +VARIANTS V EH1 - R IY0 - AH0 N T S +VARIATION V EH2 - R IY0 - EY1 - SH AH0 N +VARIATIONS V EH2 - R IY0 - EY1 - SH AH0 N Z +VARICK V EH1 - R IH0 K +VARIED V EH1 - R IY0 D +VARIES V EH1 - R IY0 Z +VARIETAL V ER0 - IY1 - T AH0 L +VARIETALS V ER0 - AY1 - AH0 - T AH0 L Z +VARIETIES V ER0 - AY1 - AH0 - T IY0 Z +VARIETY V ER0 - AY1 - AH0 - T IY0 +VARIG V EH1 - R IH0 G +VARIN V AA0 - R IY1 N +VARINA V AA0 - R IY1 - N AH0 +VARIOUS V EH1 - R IY0 - AH0 S +VARIOUSLY V EH1 - R IY0 - AH0 S - L IY0 +VARISCO V AA0 - R IY1 - S K OW0 +VARITRONIC V EH2 - R IH0 - T R AA1 - N IH0 K +VARITY V EH1 - R IH0 - T IY0 +VARITY'S V EH1 - R IH0 - T IY0 Z +VARITYPER V EH1 - R IH0 - T AY2 - P ER0 +VARLAM V AA1 R - L AE0 M +VARLEN V AA1 R - L AH0 N +VARLEY V AA1 R - L IY0 +VARMA V AA1 R - M AH0 +VARMINT V AA1 R - M IH0 N T +VARMUS V AA1 R - M AH0 S +VARN V AA1 R N +VARNADO V AA0 R - N AA1 - D OW0 +VARNADOE V AA0 R - N AA1 - D OW0 +VARNADORE V AA0 R - N AA0 - D AO1 - R EY0 +VARNELL V AA1 R - N AH0 L +VARNER V AA1 R - N ER0 +VARNES V AA1 R N Z +VARNEY V AA1 R - N IY0 +VARNI V AA1 R - N IY0 +VARNISH V AA1 R - N IH0 SH +VARNISHED V AA1 R - N IH0 SH T +VARNISHES V AA1 R - N IH0 - SH AH0 Z +VARNISHES(2) V AA1 R - N IH0 - SH IH0 Z +VARNON V AA0 R - N AO1 N +VARNUM V AA1 R - N AH0 M +VARO V EH1 - R OW0 +VARO(2) V AA1 - R OW0 +VARON V AA0 - R AO1 N +VARONA V AA0 - R OW1 - N AH0 +VARONE V ER0 - OW1 N +VARRICCHIO V AA0 - R IY1 - K IY0 - OW0 +VARRONE V AA0 - R OW1 - N EY0 +VARS V AA1 R Z +VARSITY V AA1 R - S IH0 - T IY0 +VARTANIAN V AA0 R - T EY1 - N IY0 - AH0 N +VARVARO V AA0 R - V AA1 - R OW0 +VARVEL V AA0 R - V EH1 L +VARVES V AA1 R V Z +VARY V EH1 - R IY0 +VARYING V EH1 - R IY0 - IH0 NG +VARZI V AA1 R - Z IY0 +VASBINDER V AE1 S - B IH0 N - D ER0 +VASBINDER(2) V AE1 S - B AY0 N - D ER0 +VASCO V AE1 - S K OW0 +VASCONCELLOS V AE0 S - K AH0 N - S EH1 - L OW0 Z +VASCONCELOS V AA0 - S K OW0 N - S EY1 - L OW0 Z +VASCULAR V AE1 - S K Y AH0 - L ER0 +VASE V EY1 S +VASE(2) V AA1 Z +VASECTOMIES V AE0 - Z EH1 K - T AH0 - M IY0 Z +VASECTOMIES(2) V AE0 - S EH1 K - T AH0 - M IY0 Z +VASECTOMY V AE0 - Z EH1 K - T AH0 - M IY0 +VASECTOMY(2) V AE0 - S EH1 K - T AH0 - M IY0 +VASEK V AA1 - S EH0 K +VASELINE V AE1 - S AH0 - L IY2 N +VASES V EY1 - S AH0 Z +VASES(2) V AA1 - Z IH0 Z +VASEY V AE1 - S IY0 +VASHTI V AE1 SH - T IY0 +VASICEK V AA1 - S IH0 - CH EH0 K +VASIL V AA0 - S IY1 L +VASILE V AA1 - S AH0 L +VASILY V AE1 - S AH0 - L IY0 +VASKE V EY1 S K +VASKEVITCH V AE1 - S K AH0 - V IH0 CH +VASKO V AA1 - S K OW0 +VASLEV V AA1 S - L IH0 V +VASLOV V AE1 - S L AA2 V +VASLOV'S V AE1 S - L AA2 V Z +VASOTEC V EY1 - Z OW0 - T EH2 K +VASQUES V AA1 - S K W EH0 S +VASQUEZ V AE0 - S K EH1 Z +VASS V AE1 S +VASSAL V AE1 - S AH0 L +VASSALLO V AA0 - S AA1 - L OW0 +VASSALS V AE1 - S AH0 L Z +VASSAR V AE1 - S ER0 +VASSEL V AE1 - S AH0 L +VASSER V AE1 - S ER0 +VASSEUR V AE1 - S ER0 +VASSEY V AE1 - S IY0 +VASSILIOS V AH0 - S IH1 - L Y AH0 S +VASSILIOU V AE2 - S IH1 - L IY0 - UW0 +VAST V AE1 S T +VASTA V AE1 - S T AH0 +VASTINE V AA0 - S T IY1 - N IY0 +VASTLY V AE1 S T - L IY0 +VASTNESS V AE1 S T - N AH0 S +VASTOLA V AA0 - S T OW1 - L AH0 +VAT V AE1 T +VATER V EY1 - T ER0 +VATH V AE1 TH +VATICAN V AE1 - T IH0 - K AH0 N +VATICAN'S V AE1 - T IH0 - K AH0 N Z +VATS V AE1 T S +VATTED V AE1 - T IH0 D +VATTER V AE1 - T ER0 +VAUDEVILLE V AA1 D - V IH0 L +VAUDEVILLIAN V AA0 D - V IH1 - L Y AH0 N +VAUGH V AO1 +VAUGHAN V AO1 N +VAUGHAN'S V AO1 N Z +VAUGHN V AO1 N +VAUGHN'S V AO1 N Z +VAUGHNS V AO1 N Z +VAUGHT V AO1 T +VAULT V AO1 L T +VAULTED V AO1 L - T AH0 D +VAULTED(2) V AO1 L - T IH0 D +VAULTING V AO1 L - T IH0 NG +VAULTS V AO1 L T S +VAUNTED V AO1 N - T IH0 D +VAUPEL V AW0 - P EH1 L +VAUSE V AO1 S +VAUX V AO1 K S +VAUXHALL V AA1 K S - HH AO2 L +VAVRA V AE1 - V R AH0 +VAVREK V AA1 V - R EH0 K +VAWTER V AO1 - T ER0 +VAX V AE1 K S +VAXES V AE1 K - S IH0 Z +VAXSTATION V AE2 K - S T EY1 - SH AH0 N +VAYDA V EY1 - D AH0 +VAZ V AE1 Z +VAZQUEZ V AE0 - S K EH1 Z +VE V IY1 +VE(2) V IY1 - IY1 +VEACH V IY1 CH +VEAL V IY1 L +VEALE V IY1 L +VEALS V IY1 L Z +VEASEY V IY1 - Z IY0 +VEASLEY V IY1 Z - L IY0 +VEATCH V IY1 CH +VEAZEY V IY1 - Z IY0 +VEAZIE V IY1 - Z IY0 +VEBA V IY1 - B AH0 +VECCHIARELLI V EH0 - K IY0 - AA0 - R EH1 - L IY0 +VECCHIO V EH1 - K IY0 - OW0 +VECCHIONE V EH2 - K IY0 - OW1 - N IY0 +VECCI V EH1 - CH IY0 +VECELLIO V EH0 - CH EH1 - L IY0 - OW0 +VECTOR V EH1 K - T ER0 +VECTORS V EH1 K - T ER0 Z +VECTRA V EH1 K - T R ER0 +VEDA V EY1 - D AH0 +VEDDER V EH1 - D ER0 +VEDETTE V IH0 - D EH1 T +VEDIS V EY1 - D IH0 S +VEDULA V EH2 - D UW1 - L AH0 +VEE V IY1 +VEECH V IY1 CH +VEECO V IY1 - K OW0 +VEEDER V IY1 - D ER0 +VEEGENAN V IY1 - G AH0 - N AH0 N +VEEN V IY1 N +VEENSTRA V IY1 N - S T R AH0 +VEEP V IY1 P +VEER V IH1 R +VEERED V IH1 R D +VEERING V IH1 - R IH0 NG +VEERS V IH1 R Z +VEES V IY1 Z +VEGA V EY1 - G AH0 +VEGAS V EY1 - G AH0 S +VEGESNA V EH0 - G EH1 S - N AH0 +VEGETABLE V EH1 JH - T AH0 - B AH0 L +VEGETABLES V EH1 JH - T AH0 - B AH0 L Z +VEGETAL V EH1 - JH AH0 - T AH0 L +VEGETARIAN V EH2 - JH AH0 - T EH1 - R IY0 - AH0 N +VEGETARIANISM V EH2 - JH AH0 - T EH1 - R IY0 - AH0 - N IH0 - Z AH0 M +VEGETARIANS V EH2 - JH AH0 - T EH1 - R IY0 - AH0 N Z +VEGETATE V EH1 - JH AH0 - T EY2 T +VEGETATION V EH2 - JH AH0 - T EY1 - SH AH0 N +VEGETATIVE V EH2 - JH AH0 - T EY1 - T IH0 V +VEGGIE V EH1 - JH IY0 +VEGGIES V EH1 - JH IY0 Z +VEGH V EH1 G +VEGISNAX V AH0 - G IH1 S - N AE0 K S +VEHEMENCE V IY1 - AH0 - M AH0 N S +VEHEMENCE(2) V AH0 - HH IY1 - M AH0 N S +VEHEMENT V IY1 - AH0 - M AH0 N T +VEHEMENT(2) V AH0 - HH IY1 - M AH0 N T +VEHEMENTLY V IY1 - AH0 - M AH0 N T - L IY0 +VEHEMENTLY(2) V AH0 - HH IY1 - M AH0 N T - L IY0 +VEHICLE V IY1 - HH IH0 - K AH0 L +VEHICLE'S V IY1 - HH IH0 - K AH0 L Z +VEHICLE(2) V IY1 - IH0 - K AH0 L +VEHICLES V IY1 - HH IH0 - K AH0 L Z +VEHICLES' V EH1 - HH IH0 - K AH0 L Z +VEHICLES(2) V IY1 - IH0 - K AH0 L Z +VEHICULAR V IY0 - HH IH1 - K Y AH0 - L ER0 +VEIGA V EY1 - G AH0 +VEIGEL V AY1 - G AH0 L +VEIL V EY1 L +VEILED V EY1 L D +VEILING V EY1 - L IH0 NG +VEILLETTE V AH0 - L EH1 T +VEILLEUX V AH0 - L OW1 +VEILLEUX(2) V EY1 - L OW0 +VEILLON V EY1 - L AH0 N +VEILS V EY1 L Z +VEIN V EY1 N +VEINS V EY1 N Z +VEIRA V EY1 - R AH0 +VEIT V IY1 T +VEITCH V AY1 CH +VEITH V IY1 TH +VELA V EH1 - L AH0 +VELAGRANDE V EH2 - L AH0 - G R AA1 N - D EY2 +VELAGRANDE'S V EH2 - L AH0 - G R AA1 N - D EY2 Z +VELARDE V EH0 - L AA1 R - D IY0 +VELARDI V EH0 - L AA1 R - D IY0 +VELARDO V EY0 - L AA1 R - D OW0 +VELASCO V EH0 - L AA1 - S K OW0 +VELASQUEZ V EH0 - L AE1 - S K EH0 Z +VELAYATI V EH0 - L AY2 - AA1 - T IY0 +VELAZCO V AH0 - L AE1 - S K OW0 +VELAZQUEZ V EH0 - L AE1 - S K EH0 Z +VELCRO V EH1 L - K R OW0 +VELDA V EH1 L - D AH0 +VELDHUIZEN V EH1 L D - HH IH0 - Z AH0 N +VELDMAN V EH1 L D - M AH0 N +VELEY V EH1 - L IY0 +VELEZ V EH0 - L EH1 Z +VELIE V EH1 - L IY0 +VELIKA V EH1 - L IH0 - K AH0 +VELIOTIS V EH0 - L IY0 - OW1 - T IH0 S +VELIZ V EH1 - L IH0 Z +VELLA V EH1 - L AH0 +VELLUCCI V EH0 - L UW1 - CH IY0 +VELMA V EH1 L - M AH0 +VELO V EH1 - L OW0 +VELOBIND V EH1 - L AH0 - B IH0 N D +VELOBIND(2) V EH1 - L OW0 - B AY2 N D +VELOCIRAPTOR V AH0 - L AO1 - S AH0 - R AE2 P - T ER0 +VELOCITIES V AH0 - L AA1 - S AH0 - T IY0 Z +VELOCITY V AH0 - L AA1 - S AH0 - T IY0 +VELOSO V EH2 - L OW1 - S OW0 +VELOTTA V EH0 - L OW1 - T AH0 +VELOZ V EY1 - L OW0 Z +VELSICOL V EH1 L - S IH0 - K AA2 L +VELTE V EH1 L T +VELTEN V EH1 L - T AH0 N +VELTMAN V EH1 L T - M AH0 N +VELTRE V EH1 L - T ER0 +VELTRI V EH1 L - T R IY0 +VELVEETA V EH0 L - V IY1 - T AH0 +VELVET V EH1 L - V AH0 T +VELVETY V EH1 L - V AH0 - T IY0 +VEMICH V EH1 - M IH0 CH +VEMPALA V EH2 M - P AA1 - L AH0 +VENA V IY1 - N AH0 +VENABLE V EH1 - N AH0 - B AH0 L +VENABLES V EH1 - N AH0 - B AH0 L Z +VENAL V IY1 - N AH0 L +VENALITY V IH0 - N AE1 - L IH0 - T IY0 +VENALUM V EH1 - N AH0 - L AH0 M +VENANGO V EH0 - N AE1 NG - G OW0 +VENARD V EH1 - N ER0 D +VENCILL V EH1 N - S IH0 L +VENCOR V EH1 N - K AO2 R +VENDEE V EH1 N - D IY1 +VENDELA V EH0 N - D EH1 - L AH0 +VENDETTA V EH0 N - D EH1 - T AH0 +VENDETTI V EH0 N - D EH1 - T IY0 +VENDING V EH1 N - D IH0 NG +VENDITTI V EH0 N - D IY1 - T IY0 +VENDO V EH1 N - D OW0 +VENDOME V EH0 N - D OW1 M +VENDOME(2) V AA1 N - D OW2 M +VENDOR V EH1 N - D ER0 +VENDOR'S V EH1 N - D ER0 Z +VENDORS V EH1 N - D ER0 Z +VENDORS' V EH1 N - D ER0 Z +VENEER V AH0 - N IH1 R +VENEGAS V EH1 - N IH0 - G AH0 Z +VENEMA V EH1 - N IH0 - M AH0 +VENERABLE V EH1 - N ER0 - AH0 - B AH0 L +VENERATE V EH1 - N ER0 - EY2 T +VENERATED V EH1 - N ER0 - EY2 - T IH0 D +VENEREAL V AH0 - N IH1 - R IY0 - AH0 L +VENETIAN V AH0 - N IY1 - SH AH0 N +VENEY V EH1 - N IY0 +VENEZIA V EH0 - N EH1 - Z IY0 - AH0 +VENEZIANO V EH0 - N EH0 - Z IY0 - AA1 - N OW0 +VENEZUELA V EH2 - N IH0 - Z W EY1 - L AH0 +VENEZUELA'S V EH2 - N IH0 - Z W EY1 - L AH0 Z +VENEZUELAN V EH2 - N IH0 - Z W EY1 - L AH0 N +VENEZUELANS V EH2 - N IH0 - Z W EY1 - L AH0 N Z +VENGEANCE V EH1 N - JH AH0 N S +VENGEFUL V EH1 N JH - F AH0 L +VENICE V EH1 - N AH0 S +VENICE'S V EH1 - N IH0 - S IH0 Z +VENICE(2) V EH1 - N IH0 S +VENIER V IY1 - N IY0 - ER0 +VENISON V EH1 - N AH0 - S AH0 N +VENITA V EH0 - N IY1 - T AH0 +VENKATESH V EH2 N - K AA0 - T EH1 SH +VENN V EH1 N +VENNARD V EH1 - N ER0 D +VENNE V EH1 N +VENNEMAN V EH1 N - M AH0 N +VENNER V EH1 - N ER0 +VENNICK V EH1 - N IH0 K +VENNING V EH1 - N IH0 NG +VENO V EY1 - N OW0 +VENOM V EH1 - N AH0 M +VENOMOUS V EH1 - N AH0 - M AH0 S +VENOUS V IY1 - N AH0 S +VENSEL V EH1 N - S AH0 L +VENSON V EH1 N - S AH0 N +VENT V EH1 N T +VENTECH V EH1 N - T EH2 K +VENTED V EH1 N - T IH0 D +VENTER V EH1 N - T ER0 +VENTERS V EH1 N - T ER0 Z +VENTI V EH1 N - T IY0 +VENTILATE V EH1 N - T AH0 - L EY2 T +VENTILATE(2) V EH1 - N AH0 - L EY2 T +VENTILATED V EH1 N - T AH0 - L EY2 - T IH0 D +VENTILATED(2) V EH1 - N AH0 - L EY2 - T IH0 D +VENTILATING V EH1 N - T AH0 - L EY2 - T IH0 NG +VENTILATING(2) V EH1 - N AH0 - L EY2 - T IH0 NG +VENTILATION V EH2 N - T AH0 - L EY1 - SH AH0 N +VENTILATION(2) V EH2 - N AH0 - L EY1 - SH AH0 N +VENTILATOR V EH1 N - T AH0 - L EY2 - T ER0 +VENTILATOR(2) V EH1 - N AH0 - L EY2 - T ER0 +VENTIMIGLIA V EH2 N - T IH0 - M IH1 G - L IY0 - AH0 +VENTING V EH1 N - T IH0 NG +VENTNER V EH1 N T - N ER0 +VENTO V EH1 N - T OW0 +VENTOLA V EH0 N - T OW1 - L AH0 +VENTRAL V EH1 N - T R AH0 L +VENTRE V EH1 N - T ER0 +VENTRELLA V EH2 N - T R EH1 - L AH0 +VENTRES V EH1 N - T ER0 Z +VENTRESCA V EH0 N - T R EH1 - S K AH0 +VENTRESS V EH1 N - T R IH0 S +VENTRICULAR V EH0 N - T R IH1 - K Y UW0 - L ER0 +VENTRITEX V EH1 N - T R IH0 - T EH2 K S +VENTS V EH1 N T S +VENTURA V EH0 N - CH ER1 - AH0 +VENTURA(2) V EH0 N - T UH1 - R AH0 +VENTURE V EH1 N - CH ER0 +VENTURE'S V EH1 N - CH ER0 Z +VENTURED V EH1 N - CH ER0 D +VENTURELLA V EH0 N - T UH0 - R EH1 - L AH0 +VENTURES V EH1 N - CH ER0 Z +VENTURES' V EH1 N - CH ER0 Z +VENTURESOME V EH1 N - CH ER0 - S AH0 M +VENTURI V EH0 N - T UH1 - R IY0 +VENTURIAN V EH0 N - T UH1 - R IY0 - AH0 N +VENTURING V EH1 N - CH ER0 - IH0 NG +VENTURINI V EH0 N - T UH0 - R IY1 - N IY0 +VENTURINO V EH0 N - T UH0 - R IY1 - N OW0 +VENUE V EH1 - N Y UW0 +VENUES V EH1 - N UW0 Z +VENUS V IY1 - N AH0 S +VENUTI V EH0 - N UW1 - T IY0 +VENUTO V EH0 - N UW1 - T OW0 +VENZKE V EH1 N Z K +VERA V EH1 - R AH0 +VERACITY V ER0 - AE1 - S IH0 - T IY0 +VERANDA V ER0 - AE1 N - D AH0 +VERANDAS V ER0 - AE1 N - D AH0 Z +VERAS V EH1 - R AH0 Z +VERB V ER1 B +VERBA V EH1 R - B AH0 +VERBAL V ER1 - B AH0 L +VERBALIZE V ER1 - B AH0 - L AY2 Z +VERBALIZING V ER1 - B AH0 - L AY2 - Z IH0 NG +VERBALLY V ER0 - B AE1 - L IY0 +VERBATIM V ER0 - B EY1 - T AH0 M +VERBECK V ER1 - B EH0 K +VERBEEK V ER1 - B IY0 K +VERBEKE V ER1 - B IH0 K +VERBENA V ER0 - B IY1 - N AH0 +VERBIAGE V ER1 - B IY0 - IH0 JH +VERBLE V ER1 - B AH0 L +VERBOON V ER0 - B UW1 N +VERBOONS V ER0 - B UW1 N Z +VERBOTEN V ER0 - B OW1 - T AH0 N +VERBRUGGE V ER1 - B R AH0 G +VERBS V ER1 B Z +VERBURG V ER1 - B ER0 G +VERCAMMEN V ER2 - K AE1 - M AH0 N +VERCHER V ER1 - K ER0 +VERDA V EH1 R - D AH0 +VERDANT V ER1 - D AH0 N T +VERDE V ER1 - D IY0 +VERDERAME V ER1 - D ER0 - AH0 M +VERDERBER V ER1 - D ER0 - B ER0 +VERDEROSA V ER0 - D ER0 - OW1 - S AH0 +VERDES V ER1 - D IY0 +VERDI V EH1 R - D IY0 +VERDI'S V ER1 - D IY0 Z +VERDICT V ER1 - D IH0 K T +VERDICTS V ER1 - D IH0 K T S +VERDIER V ER1 - D IY0 - ER0 +VERDIN V ER1 - D IH0 N +VERDON V EH0 R - D AO1 N +VERDON(2) V ER1 - D AH0 N +VERDONE V EH0 R - D OW1 - N EY0 +VERDUGO V ER0 - D UW1 - G OW0 +VERDUIN V EH0 R - D UW0 - IH1 N +VERDUN V ER1 - D AH0 N +VERDUZCO V ER0 - D UW1 Z - K OW0 +VERE V IH1 R +VEREB V EH1 - R IH0 B +VEREEN V IH1 - R IY0 N +VEREINSBANK V ER0 - AY1 N Z - B AE2 NG K +VERENA V ER0 - EY1 - N AH0 +VERENE V EH1 - R IY0 N +VERES V IY1 R Z +VEREX V EH1 - R AH0 K S +VERGA V EH1 R - G AH0 +VERGARA V ER0 - G AA1 - R AH0 +VERGE V ER1 JH +VERGES V ER1 - JH IH0 Z +VERGES'S V ER1 - JH IH0 - Z IH0 Z +VERGES'S(2) V ER1 - JH IY0 - Z IH0 Z +VERGES(2) V ER1 - JH IY0 Z +VERGESH V ER2 - G EH1 SH +VERGESH'S V ER2 - G EH1 - SH IH0 S +VERGIL V ER1 - JH AH0 L +VERGING V ER1 - JH IH0 NG +VERGRESH V ER2 - G R EH1 SH +VERGRESH'S V ER2 - G R EH1 - SH IH0 S +VERHAGE V ER1 - HH IH0 JH +VERHAGEN V ER1 - HH AH0 - G AH0 N +VERHEY V ER1 - HH IY0 +VERHOEF V ER1 - HH OW0 F +VERHOEVEN V ER1 - HH OW0 - V AH0 N +VERHOFF V ER1 - HH AO0 F +VERHOFSTADT V ER0 - HH AO1 F - S T AE2 T +VERHULST V ER1 - HH AH0 L S T +VERIBANC V EH1 - R IH0 - B AE2 NG K +VERIFIABLE V EH1 - R AH0 - F AY2 - AH0 - B AH0 L +VERIFICATION V EH2 - R AH0 - F AH0 - K EY1 - SH AH0 N +VERIFIED V EH1 - R AH0 - F AY2 D +VERIFIES V EH1 - R AH0 - F AY2 Z +VERIFY V EH1 - R AH0 - F AY2 +VERIFYING V EH1 - R AH0 - F AY2 - IH0 NG +VERINA V ER0 - IY1 - N AH0 +VERINE V ER0 - IY1 - N IY0 +VERISIMILITUDE V EH2 - R AH0 - S AH0 - M IH1 - L AH0 - T UW2 D +VERIT V EH1 - R IH0 T +VERITABLE V EH1 - R IH0 - T AH0 - B AH0 L +VERITIES V EH1 - R AH0 - T IY0 Z +VERITY V EH1 - R AH0 - T IY0 +VERITY'S V EH1 - R AH0 - T IY0 Z +VERITY(2) V EH1 - R IH0 - T IY0 +VERKUILEN V ER1 - K AH0 - L AH0 N +VERLA V EH1 R - L AH0 +VERLAG V ER1 - L AE0 G +VERLEGER V ER1 - L AH0 - G ER0 +VERLEY V ER1 - L IY0 +VERMA V EH1 R - M AH0 +VERMEER V ER1 - M IH0 R +VERMETTE V ER0 - M EH1 T +VERMEULEN V ER0 - M OY1 - L AH0 N +VERMILION V ER0 - M IH1 - L Y AH0 N +VERMILLION V ER0 - M IH1 - L Y AH0 N +VERMILYA V ER0 - M IY1 - L Y AH0 +VERMILYEA V ER0 - M IY1 - L Y AH0 +VERMIN V ER1 - M IH0 N +VERMONT V ER0 - M AA1 N T +VERMONT'S V ER0 - M AA1 N T S +VERMONTER V ER0 - M AA1 N - T ER0 +VERMONTERS V ER0 - M AA1 N - T ER0 Z +VERMOUTH V ER0 - M UW1 TH +VERN V ER1 N +VERNA V ER1 - N AH0 +VERNACULAR V ER0 - N AE1 - K Y AH0 - L ER0 +VERNAL V ER1 - N AH0 L +VERNE V ER1 N +VERNER V ER1 - N ER0 +VERNES V ER1 N Z +VERNETA V ER0 - N EH1 - T AH0 +VERNEY V ER1 - N IY0 +VERNICK V ER1 - N IH0 K +VERNIER V ER1 - N IY0 - ER0 +VERNIS V ER1 - N IH0 S +VERNITA V ER0 - N IY1 - T AH0 +VERNITRON V ER1 - N IH0 - T R AA0 N +VERNO V EH1 R - N OW0 +VERNON V ER1 - N AH0 N +VERNON'S V ER1 - N AH0 N Z +VERNONIA V ER0 - N OW1 - N IY0 - AH0 +VERNOR V ER1 - N ER0 +VERO V EH1 - R OW0 +VEROA V ER0 - OW1 - AH0 +VERON V EH1 - R AH0 N +VERONA V ER0 - OW1 - N AH0 +VERONDA V EH0 - R AA1 N - D AH0 +VERONICA V ER0 - AA1 - N IH0 - K AH0 +VERONIQUE V EH2 - R AA0 - N IY1 K +VERONIS V EH0 - R OW1 - N IH0 S +VERRALL V EH1 - R AH0 L +VERRASTRO V EH2 - R AE1 - S T R OW0 +VERRELL V EH0 - R EY1 L +VERRET V EH1 - R EY0 T +VERRETT V EH1 - R IH0 T +VERRETTE V ER0 - EH1 T +VERRI V EH1 - R IY0 +VERRIER V EH1 - R IY0 - ER0 +VERRILL V EH0 - R IY1 L +VERRILLI V ER0 - IY1 - L IY0 +VERRY V EH1 - R IY0 +VERSA V ER1 - S AH0 +VERSACE V ER0 - S AA1 - CH EY0 +VERSACE(2) V ER0 - S AA1 - CH IY0 +VERSAILLES V EH0 R - S AY1 +VERSAILLES(2) V EH0 R - S EY1 L Z +VERSATILE V ER1 - S AH0 - T AH0 L +VERSATILE(2) V ER0 - S AH0 - T AY1 L +VERSATILITY V ER2 - S AH0 - T IH1 - L AH0 - T IY0 +VERSE V ER1 S +VERSED V ER1 S T +VERSER V ER1 - S ER0 +VERSES V ER1 - S AH0 Z +VERSES(2) V ER1 - S IH0 Z +VERSICHERUNG V ER0 - S IH1 - CH ER0 - AH0 NG +VERSICHERUNGS V ER0 - S IH1 - CH ER0 - AH0 NG Z +VERSION V ER1 - ZH AH0 N +VERSIONS V ER1 - ZH AH0 N Z +VERSLUIS V ER1 - S L UW0 - IH0 Z +VERSTEEG V ER1 - S T IY0 G +VERSTRAETE V ER1 - S T R EH0 T +VERSUS V ER1 - S AH0 S +VERSUS(2) V ER1 - S AH0 Z +VERT V ER1 T +VERTEBRA V ER1 - T AH0 - B R AH0 +VERTEBRAE V ER1 - T AH0 - B R EY2 +VERTEBRAL V ER1 - T AH0 - B R AH0 L +VERTEBRATE V ER1 - T AH0 - B R EY2 T +VERTEBRATES V ER1 - T AH0 - B R EY2 T S +VERTEL V ER2 - T EH1 L +VERTEL'S V ER2 - T EH1 L Z +VERTEX V ER1 - T EH2 K S +VERTICAL V ER1 - T IH0 - K AH0 L +VERTICALLY V ER1 - T IH0 K - L IY0 +VERTICOM V ER1 - T IH0 - K AA0 M +VERTIGO V ER1 - T IH0 - G OW2 +VERTOL V ER1 - T AA0 L +VERTREES V ER0 - T R IY1 Z +VERTUCCI V ER0 - T UW1 - CH IY0 +VERTZ V ER1 T S +VERVE V ER1 V +VERVILLE V ER1 - V IH0 L +VERWEY V ER1 - W IY0 +VERWOERD V ER0 - W AO1 R D +VERY V EH1 - R IY0 +VESCINOID V EH1 - S IH0 - N OY2 D +VESCIO V EH1 - S IY0 - OW0 +VESCO V EH1 - S K OW0 +VESEL V EH1 - S AH0 L +VESELKA V EY0 - S EY1 L - K AH0 +VESELY V IY1 Z - L IY0 +VESEY V EH1 - S IY0 +VESMEN V EH1 S - M AH0 N +VESPA V EY1 - S P AH0 +VESPER V EH1 - S P ER0 +VESPERA V EY0 - S P EH1 - R AH0 +VESS V EH1 S +VESSEL V EH1 - S AH0 L +VESSEL'S V EH1 - S AH0 L Z +VESSELL V EH1 - S AH0 L +VESSELS V EH1 - S AH0 L Z +VESSELS'S V EH1 - S AH0 L - Z IH0 Z +VESSER V EH1 - S ER0 +VESSEY V EH1 - S IY0 +VEST V EH1 S T +VESTA V EH1 - S T AH0 +VESTAL V EH1 - S T AH0 L +VESTAR V EH1 - S T ER0 +VESTED V EH1 - S T AH0 D +VESTED(2) V EH1 - S T IH0 D +VESTER V EH1 - S T ER0 +VESTIBULE V EH1 - S T IH0 - B Y UW2 L +VESTIGE V EH1 - S T IH0 JH +VESTIGES V EH1 - S T IH0 - JH IH0 Z +VESTIGIAL V AH0 - S T IH1 - JH IY0 - AH0 L +VESTING V EH1 - S T IH0 NG +VESTRON V EH1 - S T R AH0 N +VESTRON'S V EH1 - S T R AH0 N Z +VESTS V EH1 S T S +VESUVIUS V AH0 - S UW1 - V IY0 - AH0 S +VET V EH1 T +VETA V EH1 - T AH0 +VETCO V EH1 T - K OW0 +VETERAN V EH1 - T ER0 - AH0 N +VETERAN'S V EH1 - T ER0 - AH0 N Z +VETERAN(2) V EH1 - T R AH0 N +VETERANS V EH1 - T ER0 - AH0 N Z +VETERANS' V EH1 - T ER0 - AH0 N Z +VETERANS'(2) V EH1 - T R AH0 N Z +VETERANS(2) V EH1 - T R AH0 N Z +VETERE V EH1 - T ER0 +VETERINARIAN V EH2 - T R AH0 - N EH1 - R IY0 - AH0 N +VETERINARIAN(2) V EH2 - T ER0 - AH0 - N EH1 - R IY0 - AH0 N +VETERINARIANS V EH2 - T R AH0 - N EH1 - R IY0 - AH0 N Z +VETERINARIANS(2) V EH2 - T ER0 - AH0 - N EH1 - R IY0 - AH0 N Z +VETERINARY V EH1 - T R AH0 - N EH2 - R IY0 +VETETO V EH0 - T EH1 - T OW0 +VETO V IY1 - T OW0 +VETO(2) V IY1 - T OW2 +VETOED V IY1 - T OW0 D +VETOES V IY1 - T OW0 Z +VETOING V IY1 - T OW0 - IH0 NG +VETOS V IY1 - T OW0 Z +VETRANO V EH0 - T R AA1 - N OW0 +VETS V EH1 T S +VETSCH V EH1 CH +VETTE V EH1 T +VETTED V EH1 - T IH0 D +VETTER V EH1 - T ER0 +VETTING V EH1 - T IH0 NG +VEUVE V Y UW1 V +VEVAY V EH1 - V EY0 +VEVERKA V EY0 - V EH1 R - K AH0 +VEVEY V EH1 - V IY0 +VEVILA V EY0 - V IY1 - L AH0 +VEX V EH1 K S +VEXATIOUS V EH0 K - S EY1 - SH AH0 S +VEXED V EH1 K S T +VEXING V EH1 K - S IH0 NG +VEY V EY1 +VEYNE V EY1 N +VEZINA V EH0 - Z IY1 - N AH0 +VI V AY1 +VI(2) V IY1 +VI(3) V IY1 - AY1 +VIA V AY1 - AH0 +VIA(2) V IY1 - AH0 +VIABILITY V AY0 - AH0 - B IH1 - L AH0 - T IY0 +VIABLE V AY1 - AH0 - B AH0 L +VIACOM V AY1 - AH0 - K AA0 M +VIACOM'S V AY1 - AH0 - K AA0 M Z +VIADUCT V AY1 - AH0 - D AH0 K T +VIADUCTS V AY1 - AH0 - D AH0 K T S +VIAG V AY1 - AE0 G +VIAG'S V AY1 - AE0 G Z +VIAGENE V AY1 - AH0 - JH IY2 N +VIAL V AY1 - AH0 L +VIALL V AY1 - AH0 L +VIALPANDO V IY0 - AA0 L - P AA1 N - D OW0 +VIALS V AY1 - AH0 L Z +VIAN V IY1 - AH0 N +VIANA V IY0 - AE1 - N AH0 +VIANI V IY0 - AA1 - N IY0 +VIANO V IY0 - AA1 - N OW0 +VIAR V AY1 - ER0 +VIARS V AY1 - ER0 Z +VIATICAL V AY2 - AE1 - T IH0 - K AH0 L +VIATOR V AY0 - EY1 - T ER0 +VIAU V IY0 - OW1 +VIBBERT V IH1 - B ER0 T +VIBE V AY1 B +VIBES V AY1 B Z +VIBHU V IY1 - B UW0 +VIBRANCY V AY1 - B R AH0 N - S IY0 +VIBRANT V AY1 - B R AH0 N T +VIBRATE V AY1 - B R EY0 T +VIBRATES V AY1 - B R EY0 T S +VIBRATING V AY1 - B R EY0 - T IH0 NG +VIBRATION V AY0 - B R EY1 - SH AH0 N +VIBRATIONS V AY0 - B R EY1 - SH AH0 N Z +VIBRATO V IY0 - B R AA1 - T OW0 +VIBRATOR V AY1 - B R EY0 - T ER0 +VIC V IH1 K +VIC'S V IH1 K S +VICAR V IH1 - K ER0 +VICARI V IY0 - K AA1 - R IY0 +VICARIO V IY0 - K AA1 - R IY0 - OW0 +VICARIOUS V AY0 - K EH1 - R IY0 - AH0 S +VICARIOUSLY V AY0 - K EH1 - R IY0 - AH0 S - L IY0 +VICARS V IH1 - K ER0 Z +VICARY V IH1 - K ER0 - IY0 +VICE V AY1 S +VICE-PRESIDENT V AY1 S - P R EH1 - Z AH0 - D AH0 N T +VICE-PRESIDENTIAL V AY1 S - P R EH2 - Z AH0 - D EH1 N - CH AH0 L +VICE-PRESIDENTIAL(2) V AY1 S - P R EH2 - Z AH0 - D EH1 N - SH AH0 L +VICE-PRESIDENTS V AY1 S - P R EH1 - Z AH0 - D AH0 N T S +VICENCIO V IH0 - S EH1 N - S IY0 - OW0 +VICENTE V IY0 - CH EH1 N - T IY0 +VICENZI V IH0 - S EH1 N - Z IY0 +VICEROY V AY1 S - R OY0 +VICES V AY1 - S AH0 Z +VICES(2) V AY1 - S IH0 Z +VICHY V IY1 - SH IY0 +VICINITY V AH0 - S IH1 - N AH0 - T IY0 +VICINITY(2) V IH0 - S IH1 - N IH0 - T IY0 +VICINO V IY0 - CH IY1 - N OW0 +VICIOUS V IH1 - SH AH0 S +VICIOUSLY V IH1 - SH AH0 S - L IY0 +VICIOUSNESS V IH1 - SH AH0 S - N IH0 S +VICISSITUDE V IH2 - S IH1 - S IH0 - T UW0 D +VICISSITUDES V IH0 - S IH1 - S IH0 - T UW0 D Z +VICK V IH1 K +VICKER V IH1 - K ER0 +VICKERMAN V IH1 - K ER0 - M AH0 N +VICKERS V IH1 - K ER0 Z +VICKERY V IH0 S - K ER1 - IY0 +VICKERY(2) V IH0 - K ER1 - IY0 +VICKEY V IH1 - K IY0 +VICKI V IH1 - K IY0 +VICKIE V IH1 - K IY0 +VICKNAIR V IH1 K - N ER0 +VICKREY V IH1 - K R IY0 +VICKROY V IH1 - K R OY2 +VICKS V IH1 K S +VICKSBURG V IH1 K S - B ER0 G +VICKY V IH1 - K IY0 +VICKY'S V IH1 - K IY0 Z +VICOMTE V IH0 - K AA1 M - T IY0 +VICOMTE(2) V IH0 - K AA1 M T +VICON V IH1 - K AH0 N +VICON'S V IH1 - K AH0 N Z +VICORP V AY1 - K AO0 R P +VICTIM V IH1 K - T AH0 M +VICTIM'S V IH1 K - T AH0 M Z +VICTIM'S(2) V IH1 K - T IH0 M Z +VICTIM(2) V IH1 K - T IH0 M +VICTIMHOOD V IH1 K - T AH0 M - HH UH2 D +VICTIMIZATION V IH2 K - T AH0 - M AH0 - Z EY1 - SH AH0 N +VICTIMIZE V IH1 K - T AH0 - M AY0 Z +VICTIMIZED V IH1 K - T AH0 - M AY0 Z D +VICTIMIZING V IH1 K - T AH0 - M AY0 - Z IH0 NG +VICTIMLESS V IH1 K - T AH0 M - L AH0 S +VICTIMS V IH1 K - T AH0 M Z +VICTIMS' V IH1 K - T IH0 M Z +VICTIMS(2) V IH1 K - T IH0 M Z +VICTOIRE V IH0 K T - W AA1 R +VICTOR V IH1 K - T ER0 +VICTOR'S V IH1 K - T ER0 Z +VICTORIA V IH0 K - T AO1 - R IY0 - AH0 +VICTORIA'S V IH0 K - T AO1 - R IY0 - AH0 Z +VICTORIAN V IH0 K - T AO1 - R IY0 - AH0 N +VICTORIANS V IH0 K - T AO1 - R IY0 - AH0 N Z +VICTORIAS V IH0 K - T AO1 - R IY0 - 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N ER0 Z +VINTON V IH1 N - T AH0 N +VINYARD V IH1 N - Y ER0 D +VINYL V AY1 - N AH0 L +VINZANT V IH1 N - Z AH0 N T +VIOLA V AY0 - OW1 - L AH0 +VIOLA(2) V IY0 - OW1 - L AH0 +VIOLANTE V IY0 - OW0 - L AA1 N - T IY0 +VIOLAS V IY0 - OW1 - L AH0 Z +VIOLATE V AY1 - AH0 - L EY0 T +VIOLATED V AY1 - AH0 - L EY0 - T IH0 D +VIOLATES V AY1 - AH0 - L EY0 T S +VIOLATING V AY1 - AH0 - L EY0 - T IH0 NG +VIOLATION V AY0 - AH0 - L EY1 - SH AH0 N +VIOLATIONS V AY0 - AH0 - L EY1 - SH AH0 N Z +VIOLATOR V AY1 - AH0 - L EY2 - T ER0 +VIOLATORS V AY1 - AH0 - L EY0 - T ER0 Z +VIOLE V AY2 - OW1 L +VIOLENCE V AY1 - AH0 - L AH0 N S +VIOLENT V AY1 - AH0 - L AH0 N T +VIOLENT(2) V AY1 - L AH0 N T +VIOLENTLY V AY1 - AH0 - L AH0 N T - L IY0 +VIOLENTLY(2) V AY1 - L AH0 N T - L IY0 +VIOLET V AY1 - AH0 - L IH0 T +VIOLET(2) V AY1 - L IH0 T +VIOLETA V IY2 - OW0 - L EH1 - T AH0 +VIOLETA(2) V AY2 - OW0 - L EH1 - T AH0 +VIOLETS V AY1 - AH0 - L AH0 T S +VIOLETS(2) V AY1 - L AH0 T S +VIOLETT V AY1 - AH0 - L AH0 T +VIOLETT(2) V AY1 - 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S K UW1 - S IY0 +VISCUSO V IY0 - S K UW1 - S OW0 +VISE V AY1 S +VISEGRAD V IH1 S - AH0 - G R AE2 D +VISHAY V IH1 - SH EY0 +VISIBILITY V IH2 - Z AH0 - B IH1 - L IH0 - T IY0 +VISIBLE V IH1 - Z AH0 - B AH0 L +VISIBLY V IH1 - Z AH0 - B L IY0 +VISICALC V IH1 - Z IH0 - K AE2 L K +VISIGOTH V IH1 - Z AH0 - G AA0 TH +VISIGOTHS V IH1 - Z AH0 - G AA0 TH S +VISION V IH1 - ZH AH0 N +VISION'S V IH1 - ZH AH0 N Z +VISIONARIES V IH1 - ZH AH0 N - EH0 - R IY0 Z +VISIONARY V IH1 - ZH AH0 N - EH2 - R IY0 +VISIONS V IH1 - ZH AH0 N Z +VISIT V IH1 - Z AH0 T +VISIT(2) V IH1 - Z IH0 T +VISITATION V IH2 - Z AH0 - T EY1 - SH AH0 N +VISITATION(2) V IH2 - Z IH0 - T EY1 - SH AH0 N +VISITATIONS V IH2 - Z AH0 - T EY1 - SH AH0 N Z +VISITATIONS(2) V IH2 - Z IH0 - T EY1 - SH AH0 N Z +VISITED V IH1 - Z AH0 - T AH0 D +VISITED(2) V IH1 - Z IH0 - T IH0 D +VISITING V IH1 - Z AH0 - T IH0 NG +VISITING(2) V IH1 - Z IH0 - T IH0 NG +VISITOR V IH1 - Z AH0 - T ER0 +VISITOR'S V IH1 - Z AH0 - T ER0 Z +VISITOR'S(2) V IH1 - Z IH0 - T ER0 Z +VISITOR(2) V IH1 - Z IH0 - T ER0 +VISITORS V IH1 - Z AH0 - T ER0 Z +VISITORS' V IH1 - S AH0 - T ER0 Z +VISITORS'(2) V IH1 - S IH0 - T ER0 Z +VISITORS(2) V IH1 - Z IH0 - T ER0 Z +VISITS V IH1 - Z AH0 T S +VISITS(2) V IH1 - Z IH0 T S +VISNIC V IH1 S - N IH0 CH +VISOR V AY1 - Z ER0 +VISORS V AY1 - Z ER0 Z +VISSCHER V IH1 - SH ER0 +VISSER V IH1 - S ER0 +VISTA V IH1 - S T AH0 +VISTA'S V IH1 - S T AH0 Z +VISTAS V IH1 - S T AH0 Z +VISTON V IH1 - S T AH0 N +VISUAL V IH1 - ZH AH0 - W AH0 L +VISUALIZATION V IH2 - ZH W AH0 - L AH0 - Z EY1 - SH AH0 N +VISUALIZE V IH1 - ZH W AH0 - L AY2 Z +VISUALIZED V IH1 - ZH W AH0 - L AY2 Z D +VISUALIZING V IH1 - ZH W AH0 - L AY2 - Z IH0 NG +VISUALLY V IH1 - ZH W AH0 - L IY0 +VISUALS V IH1 - ZH W AH0 L Z +VISX V IH1 - S EH2 K S +VITA V AY1 - T AH0 +VITAE V AY1 - T AH0 +VITAGLIANO V IY0 - T AA0 - G L IY0 - AA1 - N OW0 +VITAL V AY1 - T AH0 L +VITALE V IH0 - T AE1 - L IY0 +VITALE(2) V AY2 - T AE1 L +VITALI V IY0 - T AA1 - L IY0 +VITALINK V AY1 - T AH0 L - IH2 NG K +VITALITY V AY0 - T AE1 - L AH0 - T IY0 +VITALLY V AY1 - T AH0 - L IY0 +VITALY V AH0 - T AE1 - L IY0 +VITALY(2) V IY0 - T AA1 - L IY0 +VITAMIN V AY1 - T AH0 - M AH0 N +VITAMINS V AY1 - T AH0 - M AH0 N Z +VITANZA V IH0 - T AE1 N - Z AH0 +VITARINE V IH1 - T ER0 - IY2 N +VITARINE'S V IH1 - T ER0 - IY2 N Z +VITEK V IH1 - T EH0 K +VITELLI V IH0 - T EH1 - L IY0 +VITELLO V IH0 - T EH1 - L OW0 +VITEZ V IH1 - T EH0 Z +VITEZ(2) V AY1 - T EH0 Z +VITI V IY1 - T IY0 +VITIA V IY1 - SH AH0 +VITIELLO V IY0 - T IY0 - EH1 - L OW0 +VITILIGO V IY0 - T IH1 - L IH0 - G OW0 +VITNER V IH1 T - N ER0 +VITO V IY1 - T OW0 +VITOLO V IY0 - T OW1 - L OW0 +VITRAMON V IH1 - T R AH0 - M AA0 N +VITRANO V IY0 - T R AA1 - N OW0 +VITREOUS V IH1 - T R IY0 - AH0 S +VITRIC V IH1 - T R IH0 K +VITRIOL V IH1 - T R IY0 - AH0 L +VITRIOLIC V IH2 - T R IY0 - AA1 - L IH0 K +VITRO V IH1 - T R OW0 +VITRO(2) V IY1 - T R OW0 +VITRONICS V AY2 - T R AA1 - N IH0 K S +VITRUVIUS V IH0 - T R UW1 - V IY0 - AH0 S +VITRY V IH1 - T R IY0 +VITT V IH1 T +VITTETOE V IH1 - T IH0 - T OW0 +VITTITOW V IH1 - T IH0 - T OW0 +VITTLE V IH1 - T AH0 L +VITTLES V IH1 - T AH0 L Z +VITTORIA V IH0 - T AO1 - R IY0 - AH0 +VITTORIO V IY0 - T AO1 - R IY0 - OW0 +VITUCCI V IY0 - T UW1 - CH IY0 +VITULLI V IY0 - T UW1 - L IY0 +VITULLO V IY0 - T UW1 - L OW0 +VITUPERATIVE V AY2 - T UW1 - P ER0 - AH0 - T IH0 V +VITUPERATIVE(2) V AH0 - T UW1 - P ER0 - AH0 - T IH0 V +VIV V IH1 V +VIVA V IY1 - V AH0 +VIVACIOUS V AH0 - V EY1 - SH AH0 S +VIVALDI V IH0 - V AA1 L - D IY0 +VIVAS V IY1 - V AH0 Z +VIVE V IY1 V +VIVE(2) V AY1 V +VIVEIROS V IY0 - V IH1 - R OW0 Z +VIVENDI V IH0 - V EH1 N - D IY0 +VIVERETTE V IH1 - V ER0 - EH1 T +VIVEROS V IY0 - V EH1 - R OW0 Z +VIVES V AY1 V Z +VIVIAN V IH1 - V IY0 - AH0 N +VIVIANA V IH0 - V IY0 - AE1 - N AH0 +VIVIANI V IY2 - V IY0 - AA1 - N IY0 +VIVIANO V IY2 - V IY0 - AA1 - N OW0 +VIVID V IH1 - V AH0 D +VIVID(2) V IH1 - V IH0 D +VIVIDLY V IH1 - V AH0 D - L IY0 +VIVIDNESS V IH1 - V AH0 D - N AH0 S +VIVIE V IH1 - V IY0 +VIVIEN V IH1 - V IY0 - AH0 N +VIVIENNE V IH1 - V IY0 - AH0 N +VIVIER V AY1 - V IY0 - ER0 +VIVIPAROUS V AY0 - V IH1 - P ER0 - AH0 S +VIVISEPULTURE V IH1 - V IY0 - S EH1 - P AH0 L - CH ER0 +VIVO V IY1 - V OW0 +VIVONA V IY0 - V OW1 - N AH0 +VIVRA V IY1 - V R AH0 +VIVYAN V IY0 - V Y AA1 N +VIXEN V IH1 K - S IH0 N +VIYELLA V IH0 - Y EH1 - L AH0 +VIZCAINO V IY0 Z - K AA0 - IY1 - N OW0 +VIZCARRA V IY0 Z - K AA1 - R AH0 +VIZCAYA V IH0 Z - K AY1 - AH0 +VIZZINI V IY0 T - S IY1 - N IY0 +VLACH V L AE1 CH +VLACHOS V L EY1 - K OW0 S +VLAD V L AE1 D +VLAD'S V L AE1 D Z +VLADECK V L AE1 - D EH0 K +VLADIMIR V L AE1 - D AH0 - M IH0 R +VLADISLAV V L AE1 - D AH0 S - L AA0 V +VLADIVOSTOK V L AE2 - D IH0 - V AO1 - S T AA0 K +VLADIVOSTOK(2) V L AE2 - D IH0 - V OW1 - S T AA0 K +VLAHAKIS V L AH2 - HH AO1 - K IH0 S +VLAHOS V L AA1 - HH OW0 S +VLASAK V L AA1 - S AH0 K +VLASIC V L AE1 - Z IH0 K +VLCEK V L EH1 - S IH0 K +VLIET V L IY1 T +VLOK V L AA1 K +VNESHECONOMBANK V AH0 - N EH2 - SH AH0 - K AA1 - N AH0 M - B AE2 NG K +VO V OW1 +VO(2) V IY1 - OW1 +VOBIS V OW1 - B AH0 S +VOCABULARY V OW0 - K AE1 - B Y AH0 - L EH2 - R IY0 +VOCAL V OW1 - K AH0 L +VOCALIST V OW1 - K AH0 - L IH0 S T +VOCALLY V OW1 - K AH0 - L IY0 +VOCALS V OW1 - K AH0 L Z +VOCALTEC V OW1 - K AH0 L - T EH2 K +VOCATION V OW0 - K EY1 - SH AH0 N +VOCATIONAL V OW0 - K EY1 - SH AH0 - N AH0 L +VOCATIONS V OW0 - K EY1 - SH AH0 N Z +VOCIFEROUS V OW0 - S IH1 - F ER0 - AH0 S +VOCIFEROUSLY V AH0 - S IH1 - F ER0 - AH0 S - L IY0 +VOCKE V AA1 K +VOCS V AA1 K S +VODAFONE V OW1 - D AH0 - F OW2 N +VODAVI V OW0 - D AA1 - V IY0 +VODICKA V AA1 - D IH0 - K AH0 +VODKA V AA1 D - K AH0 +VODKAS V AA1 D - K AH0 Z +VOEGELE V OW1 - G AH0 L +VOEGELI V OW1 - G IH0 - L IY0 +VOELKEL V OW1 L - K AH0 L +VOELKER V OW1 L - K ER0 +VOELL V OW1 L +VOELLER V OW1 - L ER0 +VOELTZ V OW1 L T S +VOELZ V OW1 L Z +VOEST V OW1 S T +VOGAN V OW1 - G AH0 N +VOGE V OW1 JH +VOGEL V OW1 - G AH0 L +VOGELER V OW1 - G AH0 - L ER0 +VOGELGESANG V AA1 - G IH0 L - G IH0 - S AH0 NG +VOGELPOHL V AA1 - G IH0 L - P OW0 L +VOGELS V OW1 - G AH0 L Z +VOGELSANG V AA1 - G IH0 L - S AH0 NG +VOGELSONG V AA1 - G IH0 L - S AO0 NG +VOGELSTEIN V OW1 - G AH0 L - S T IY2 N +VOGELSTEIN(2) V OW1 - G AH0 L - S T AY2 N +VOGES V OW1 - JH IH0 Z +VOGHT V AA1 T +VOGL V AA1 - G AH0 L +VOGLER V OW1 - G L ER0 +VOGOSCA V OW0 - G OW1 - S K AH0 +VOGOSCA(2) V AH0 - G OW1 - S K AH0 +VOGT V OW1 T +VOGTLE V AA1 G - T AH0 L +VOGUE V OW1 G +VOHS V AA1 S +VOICE V OY1 S +VOICE'S V OY1 - S IH0 Z +VOICED V OY1 S T +VOICELESS V OY1 S - L AH0 S +VOICEMAIL V OY1 S - M EY2 L +VOICEOVER V OY1 S - OW2 - V ER0 +VOICES V OY1 - S AH0 Z +VOICES(2) V OY1 - S IH0 Z +VOICEWORK V OY1 S - W ER2 K +VOICEWORKS V OY1 S - W ER2 K S +VOICING V OY1 - S IH0 NG +VOID V OY1 D +VOIDED V OY1 - D IH0 D +VOIDING V OY1 - D IH0 NG +VOIDS V OY1 D Z +VOIGHT V OY1 T +VOIGT V OY1 G T +VOIGT(2) V OY1 T +VOIGTS V OY1 G T S +VOIGTS(2) V OY1 T S +VOILA V W AA2 - L AA1 +VOILES V OY1 L Z +VOINOVICH V OY1 - N AH0 - V IH0 CH +VOIR V W AA1 R +VOISEY V W AA2 - S EY1 +VOISEY(2) V OY2 - S EY1 +VOISIN V OY0 - Z AE1 N +VOISINE V OY0 - Z IY1 N +VOIT V OY1 T +VOJTA V OY1 - T AH2 +VOJTA(2) V OY1 - T AH0 +VOKES V OW1 K S +VOLAND V AA1 - L AH0 N D +VOLANTE V OW0 - L AA1 N - T EY0 +VOLATILE V AA1 - L AH0 - T AH0 L +VOLATILITY V AA2 - L AH0 - T IH1 - L AH0 - T IY0 +VOLBERDING V OW1 L - B ER0 - D IH0 NG +VOLCANIC V AA0 L - K AE1 - N IH0 K +VOLCANICALLY V AA0 L - K AE1 - N IH0 K - L IY0 +VOLCANO V AA0 L - K EY1 - N OW0 +VOLCANO'S V AA0 L - K EY1 - N OW0 Z +VOLCANOES V AA0 L - K EY1 - N OW0 Z +VOLCANOS V AA0 L - K EY1 - N OW0 Z +VOLCKER V OW1 L - K ER0 +VOLCKER'S V OW1 L - K ER0 Z +VOLD V OW1 L D +VOLDEN V OW1 L - D AH0 N +VOLENTINE V OW0 - L EH0 N - T IY1 - N IY0 +VOLES V OW1 L Z +VOLETA V OW0 - L EH1 - T AH0 +VOLGA V AA1 L - G AH0 +VOLGOGRAD V OW1 L - G OW0 - G R AE2 D +VOLIN V OW1 - L IH0 N +VOLIO V OW1 - L IY0 - OW0 +VOLITION V OW0 - L IH1 - SH AH0 N +VOLK V OW1 L K +VOLKER V OW1 L - K ER0 +VOLKERS V OW1 L - K ER0 Z +VOLKERT V OW1 L - K ER0 T +VOLKMAN V OW1 L K - M AH0 N +VOLKMANN V OW1 L K - M AH0 N +VOLKMAR V OW1 L K - M ER0 +VOLKMER V OW1 L K - M ER0 +VOLKOGONOV V OW0 L - K AO1 - G AH0 - N AO2 V +VOLKSBANK V OW1 L K S - B AE2 NG K +VOLKSFUERSORGE V OW0 L K S - F Y UW1 R - S AO0 R JH +VOLKSWAGEN V OW1 L K - S W AE2 - G AH0 N +VOLKSWAGEN'S V OW1 L K - S W AE2 - G AH0 N Z +VOLKSWAGENS V OW1 L K - S W AE2 - G AH0 N Z +VOLL V AA1 L +VOLLAND V AA1 - L AH0 N D +VOLLBRECHT V AA1 L - B R IH0 K T +VOLLE V AA1 L +VOLLENWEIDER V AA1 - L IH0 N - W AY0 - D ER0 +VOLLER V AA1 - L ER0 +VOLLEY V AA1 - L IY0 +VOLLEYBALL V AA1 - L IY0 - B AO2 L +VOLLEYS V AA1 - L IY0 Z +VOLLMAN V AA1 L - M AH0 N +VOLLMAR V AA1 L - M ER0 +VOLLMER V AA1 L - M ER0 +VOLLRATH V AA1 - L R AH0 TH +VOLMER V OW1 L - M ER0 +VOLNER V OW1 L - N ER0 +VOLNEY V OW1 L - N IY0 +VOLOKH V AA1 - L AA0 K +VOLPE V OW1 L P +VOLPI V OW1 L - P IY0 +VOLPICELLA V OW2 L - P IH0 - S EH1 - L AH0 +VOLT V OW1 L T +VOLTA V OW1 L - T AH0 +VOLTAGE V OW1 L - T AH0 JH +VOLTAGE'S V OW1 L - T IH0 - JH IH0 Z +VOLTAGE(2) V OW1 L - T IH0 JH +VOLTAGES V OW1 L - T AH0 - JH AH0 Z +VOLTAGES(2) V OW1 L - T IH0 - JH IH0 Z +VOLTAIRE V OW0 L - T EH1 R +VOLTAREN V OW1 L - T ER0 - AH0 N +VOLTS V OW1 L T S +VOLTZ V OW1 L T S +VOLUBLE V AA1 - L Y AH0 - B AH0 L +VOLUME V AA1 - L Y UW0 M +VOLUME'S V AA1 - L Y AH0 M Z +VOLUMES V AA1 - L Y UW0 M Z +VOLUMINOUS V AH0 - L UW1 - M AH0 - N AH0 S +VOLUNTARILY V AA2 - L AH0 N - T EH1 - R AH0 - L IY0 +VOLUNTARISM V OW0 - L AH1 N - T ER0 - IH2 - Z AH0 M +VOLUNTARY V AA1 - L AH0 N - T EH0 - R IY0 +VOLUNTEER V AA2 - L AH0 N - T IH1 R +VOLUNTEERED V AA2 - L AH0 N - T IH1 R D +VOLUNTEERING V AO2 - L AH0 N - T IH1 - R IH0 NG +VOLUNTEERISM V AO2 - L AH0 N - T IH1 - R IH2 - Z AH0 M +VOLUNTEERS V AA2 - L AH0 N - T IH1 R Z +VOLUPTUOUS V AH0 - L AH1 P - CH AH0 W - AH0 S +VOLVO V OW1 L - V OW0 +VOLVO'S V OW1 L - V OW0 Z +VOLVOS V AO1 L - V OW0 Z +VOLVOVITZ V OW1 L - V AH0 - V IH0 T S +VOLVOX V AA1 L - V AA0 K S +VOLZ V OW1 L Z +VOMIT V AA1 - M AH0 T +VOMITING V AA1 - M AH0 - T IH0 NG +VON V AO1 N +VON-BRAUN V AA1 N - B R AO1 N +VONA V OW1 - N AH0 +VONADA V OW0 - N AA1 - D AH0 +VONALLMEN V AA1 - N AH0 L - M EH0 N +VONARX V AH0 - N AA1 R K S +VONBARGEN V AA2 N - B AA1 R - G AH0 N +VONBEHREN V AA2 N - B IH1 - R AH0 N +VONBERGEN V AA2 N - B ER1 - G AH0 N +VONCANNON V AA2 N - K AE1 - N AH0 N +VONDER V AA1 N - D ER0 +VONDERHAAR V AA1 N - D ER0 - HH AA2 R +VONDERHEIDE V AA1 N - D ER0 - HH AY2 D +VONDRA V AA1 N - D R AH0 +VONDRACEK V AA1 N - D R AH0 - S IH0 K +VONDRAK V AA1 N - D R AH0 K +VONDRASEK V AH0 N - D R AA1 - S EH0 K +VONFELDT V AA1 N - F IH0 L T +VONG V AO1 NG +VONGUNTEN V AA1 NG - G AH0 N - T AH0 N +VONK V AA1 NG K +VONNEGUT V AA1 - N AH0 - G AH0 T +VONNIE V AA1 - N IY0 +VONNY V AA1 - N IY0 +VONRUDEN V AA1 N - R UW0 - D AH0 N +VONS V AA1 N Z +VONS'S V AA1 N - Z IH0 Z +VONSEGGERN V AA1 N - S IH0 - G ER0 N +VONSTEIN V AA1 N - S T AY0 N +VONSTEIN(2) V AA1 N - S T IY0 N +VONTOBEL V AA2 N - T OW1 - B AH0 L +VOODOO V UW1 - D UW2 +VOORHEES V UH1 R - HH IY0 Z +VOORHEIS V UH1 R - HH AY0 Z +VOORHIES V UH1 R - HH IY0 Z +VOORHIS V UH1 R - HH IH0 S +VORA V AO1 - R AH0 +VORACIOUS V AO0 - R EY1 - SH AH0 S +VORACITY V ER0 - AE1 - S AH0 - T IY0 +VORACITY(2) V AO0 - R AE1 - S AH0 - T IY0 +VORCE V AO1 R S +VORE V AO1 R +VORHAUER V AO1 R - HH AW2 R +VORHEES V AO1 R - HH IY0 Z +VORHIES V AO1 R - HH IY0 Z +VORIS V AO1 - R IH0 S +VORNADO V AO2 R - N AA1 - D OW0 +VORNADO(2) V AO2 R - N EY1 - D OW0 +VORNDRAN V AO1 R N - D R AH0 N +VORONTSOV V AO0 - R AA1 N T - S AA2 V +VOROS V AO1 - R OW0 Z +VORPAHL V AO1 R - P AA0 L +VORTEC V AO1 R - T EH2 K +VORTEX V AO1 R - T EH0 K S +VORWALD V AO1 R - W AO0 L D +VORWERK V AO1 R - W ER0 K +VOS V AA1 S +VOSBERG V AA1 S - B ER0 G +VOSBURG V AA1 S - B ER0 G +VOSBURGH V AA1 S - B ER0 G +VOSE V OW1 Z +VOSHELL V AA1 - SH AH0 L +VOSLER V AA1 - S AH0 - L ER0 +VOSLER(2) V AA1 S - L ER0 +VOSS V AO1 S +VOSSEN V AO1 - S AH0 N +VOSSLER V AA1 - S AH0 - L ER0 +VOSSLER(2) V AA1 S - L ER0 +VOTAVA V OW0 - T AA1 - V AH0 +VOTAW V OW1 - T AO0 +VOTE V OW1 T +VOTE'S V OW1 T S +VOTED V OW1 - T AH0 D +VOTED(2) V OW1 - T IH0 D +VOTER V OW1 - T ER0 +VOTER'S V OW1 - T ER0 Z +VOTERS V OW1 - T ER0 Z +VOTERS' V OW1 - T ER0 Z +VOTES V OW1 T S +VOTH V AA1 TH +VOTING V OW1 - T IH0 NG +VOTRAX V AA1 - T R AE0 K S +VOTRUBA V AH0 - T R UW1 - B AH0 +VOUCH V AW1 CH +VOUCHED V AW1 CH T +VOUCHER V AW1 - CH ER0 +VOUCHERS V AW1 - CH ER0 Z +VOUCHING V AW1 - CH IH0 NG +VOUGHT V AO1 T +VOUTE V UW1 T +VOW V AW1 +VOWED V AW1 D +VOWEL V AW1 - AH0 L +VOWELL V AA1 - W EH0 L +VOWELS V AW1 - AH0 L Z +VOWELS(2) V AW1 L Z +VOWING V AW1 - IH0 NG +VOWLES V AW1 - AH0 L Z +VOWS V AW1 Z +VOX V AA1 K S +VOYAGE V OY1 - AH0 JH +VOYAGE(2) V OY1 - IH0 JH +VOYAGED V OY1 - AH0 JH D +VOYAGED(2) V OY1 - IH0 JH D +VOYAGER V OY1 - AH0 - JH ER0 +VOYAGER'S V OY1 - IH0 - JH ER0 Z +VOYAGER(2) V OY1 - IH0 - JH ER0 +VOYAGERS V OY1 - IH0 - JH ER0 Z +VOYAGES V OY1 - AH0 - JH AH0 Z +VOYAGES(2) V OY1 - IH0 - JH IH0 Z +VOYER V OY1 - ER0 +VOYEUR V OY2 - Y UW1 R +VOYEURISM V OY2 - Y UW1 - R IH0 - Z AH0 M +VOYEURISTIC V OY2 Y - AH0 - R IH1 - S T IH0 K +VOYLES V OY1 L Z +VOYNAVICH V OY1 - N AH0 - V IH0 CH +VOYTEK V OY1 - 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Z EY1 - SH AH0 N +VULLO V UW1 - L OW0 +VULNERABILITIES V AH2 L - N ER0 - AH0 - B IH1 - L IH0 - T IY0 Z +VULNERABILITY V AH2 L - N ER0 - AH0 - B IH1 - L IH0 - T IY0 +VULNERABLE V AH1 L - N ER0 - AH0 - B AH0 L +VULTAGGIO V UW0 L - T AA1 - JH IY0 - OW0 +VULTURE V AH1 L - CH ER0 +VULTURES V AH1 L - CH ER0 Z +VUNCANNON V AH1 N - K AH0 - N AA0 N +VUNCANNON(2) V AH0 N - K AE1 - N AH0 N +VUOLO V UW0 - OW1 - L OW0 +VUONG V UW0 - AO1 NG +VY V AY1 +VYACHESLAV V Y AA1 - CH AH0 S - L AA0 V +VYAS V Y AA1 S +VYAS(2) V AY1 - AH0 S +VYING V AY1 - IH0 NG +W D AH1 - B AH0 L - Y UW0 +W'S D AH1 - B AH0 L - Y UW0 Z +W. D AH1 - B AH0 L - Y UW0 +W.'S D AH1 - B AH0 L - Y UW0 Z +W.S D AH1 - B AH0 L - Y UW0 Z +WA W AA1 +WAACK W AA1 K +WAAG W AA1 G +WAAGE W AA1 - IH0 JH +WAAH W AA1 +WAAL W AA1 L +WAARA W AA1 - R AH0 +WAAS W AA1 Z +WABASH W AO1 - B AE0 SH +WABASH'S W AO1 - B AE0 - SH AH0 Z +WACE W EY1 S +WACH W AO1 CH +WACHA W AA1 - CH AH0 +WACHHOLZ W AO1 K - HH OW0 L Z +WACHNER W AE1 K - N ER0 +WACHO W AA1 - CH OW0 +WACHOB W AO1 - K AH0 B +WACHOVIA W AA0 - CH OW1 - V IY0 - AH0 +WACHOWIAK V AH0 - HH AW1 - IY0 - AE0 K +WACHOWSKI V AH0 - HH AO1 F S - K IY0 +WACHS W AO1 K S +WACHSMAN W AO1 K S - M AH0 N +WACHSMUTH W AO1 K S - M UH0 TH +WACHTEL W AO1 - CH AH0 L +WACHTELL W AA0 K - T EH1 L +WACHTER W AO1 K - T ER0 +WACHTLER W AE1 K T - L ER0 +WACK W AE1 K +WACKENHUT W AA1 - K AH0 N - HH AH2 T +WACKER W AE1 - K ER0 +WACKERLE W AE1 - K ER0 - AH0 L +WACKERLE(2) W AE1 - K ER0 - L IY0 +WACKO W AE1 - K OW0 +WACKOS W AE1 - K OW0 Z +WACKS W AE1 K S +WACKSMAN W AE1 K S - M AH0 N +WACKSMAN'S W AE1 K S - M AH0 N Z +WACKY W AE1 - 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G AH0 L +WAGLER W AE1 G - L ER0 +WAGLEY W AE1 G - L IY0 +WAGMAN W AE1 G - M AH0 N +WAGNER W AE1 G - N ER0 +WAGNER'S W AE1 G - N ER0 Z +WAGNER'S(2) V AE1 G - N ER0 Z +WAGNER(2) V AA1 G - N ER0 +WAGNERIAN W AE2 G - N EH1 - R IY0 - AH0 N +WAGNERIAN(2) V AA2 G - N EH1 - R IY0 - AH0 N +WAGNON W AE1 G - N AH0 N +WAGON W AE1 - G AH0 N +WAGONEER W AE2 - G AH0 - N IH1 R +WAGONEERS W AE2 - G AH0 - N IH1 R Z +WAGONER W AE1 - G AH0 - N ER0 +WAGONS W AE1 - G AH0 N Z +WAGS W AE1 G Z +WAGSTAFF W AE1 G - S T AE2 F +WAGSTER W AE1 G - S T ER0 +WAGUESPACK W AE1 - G IH0 - S P AE2 K +WAGY W AE1 - G IY0 +WAH W AA1 +WAH'S W AA1 Z +WAH-PEI W AA1 - P EY1 +WAHID W AA2 - HH IY1 D +WAHL W AA1 L +WAHLBERG W AA1 L - B ER0 G +WAHLE W AO1 L +WAHLEN W AA1 - L AH0 N +WAHLER W AA1 - L ER0 +WAHLERS W AA1 - L ER0 Z +WAHLERT W AA1 - L ER0 T +WAHLGREN W AA1 L - G R AH0 N +WAHLQUIST W AA1 L - K W IH2 S T +WAHLSTROM W AA1 L - S T R AH0 M +WAHOO W AH0 - HH UW1 +WAHOO(2) W AA1 - HH UW1 +WAI W AY1 +WAIBEL W EY1 - B AH0 L +WAIBEL(2) W AY1 - B AH0 L +WAID W EY1 D +WAIDE W EY1 D +WAIDELICH W AY1 D - L IH0 K +WAIF W EY1 F +WAIFER W EY1 - F ER0 +WAIGEL W AY1 - G AH0 L +WAIKIKI W AY2 - K IY0 - K IY1 +WAIL W EY1 L +WAILED W EY1 L D +WAILES W EY1 L Z +WAILING W EY1 - L IH0 NG +WAILS W EY1 L Z +WAIN W EY1 N +WAINER W EY1 - N ER0 +WAINIO W EY1 - N IY0 - OW0 +WAINMAN W EY1 N - M AH0 N +WAINOCO W EY2 - N OW1 - K OW0 +WAINOCO'S W EY2 - N OW1 - K OW0 Z +WAINRIGHT W EY1 N - R AY2 T +WAINSCOTT W EY1 N - S K AH0 T +WAINWRIGHT W EY1 N - R AY2 T +WAIS W EY1 Z +WAISANEN W AY1 - S AH0 - N AH0 N +WAISNER W EY1 Z - N ER0 +WAIST W EY1 S T +WAISTLINE W EY1 S T - L AY2 N +WAISTS W EY1 S T S +WAIT W EY1 T +WAITE W EY1 T +WAITE'S W EY1 T S +WAITED W EY1 - T AH0 D +WAITED(2) W EY1 - T IH0 D +WAITER W EY1 - T ER0 +WAITER'S W EY1 - T ER0 Z +WAITERS W EY1 - T ER0 Z +WAITES W EY1 T S +WAITIN' W EY1 - T IH0 N +WAITING W EY1 - T IH0 NG +WAITKUS W EY1 T - K AH0 S +WAITMAN W AY1 T - M AH0 N +WAITRESS W EY1 - T R AH0 S +WAITRESSES W EY1 - T R AH0 - S IH0 Z +WAITS W EY1 T S +WAITT W EY1 T +WAITZKIN W EY1 T - S K IH2 N +WAIVE W EY1 V +WAIVED W EY1 V D +WAIVER W EY1 - V ER0 +WAIVERS W EY1 - V ER0 Z +WAIVES W EY1 V Z +WAIVING W EY1 - V IH0 NG +WAJDA V AY1 - D AH0 +WAKABAYASHI W AA0 - K AA2 - B AA0 - Y AA1 - SH IY0 +WAKE W EY1 K +WAKEFIELD W EY1 K - F IY2 L D +WAKEHAM W AE1 - K AH0 M +WAKELAND W EY1 K - L AH0 N D +WAKELEY W AE1 K - L IY0 +WAKELY W EY1 K - L IY0 +WAKEMAN W EY1 K - M AH0 N +WAKEN W EY1 - K AH0 N +WAKES W EY1 K S +WAKEUP W EY1 K - AH2 P +WAKID W EY1 - K AH0 D +WAKING W EY1 - K IH0 NG +WAKLEY W AE1 K - L IY0 +WAKO W AE1 - K OW0 +WAL W AO1 L +WALA W AO1 - L AH0 +WALA'S W AO1 - L AH0 Z +WALAS W AO1 - L AH0 Z +WALBERG W AO1 L - B ER0 G +WALBERT W AO1 L - B ER0 T +WALBORN W AO1 L - B ER0 N +WALBRIDGE W AO1 L - B R IH0 JH +WALBRO W AO1 L - B R OW0 +WALBURN W AO1 L - B ER0 N +WALBY W AO1 L - B IY0 +WALCH W AO1 L CH +WALCHER W AO1 L - CH ER0 +WALCK W AO1 L K +WALCOT W AO1 L - K AA0 T +WALCOTT W AO1 L - K AA0 T +WALCZAK V AA1 L - CH AE0 K +WALCZYK V AA1 L - CH IH0 K +WALD W AO1 L D +WALDA V AA1 L - 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D R AH0 P +WALDRIDGE W AO1 L - D R IH0 JH +WALDRIP W AO1 L - D R AH0 P +WALDRON W AO1 L - D R AH0 N +WALDROOP W AO1 L - D R UW2 P +WALDROP W AO1 L - D R AA0 P +WALDROUP W AO1 L - D R UW2 P +WALDRUM W AO1 L - D R AH0 M +WALDRUP W AO1 L - D R AH0 P +WALDSCHMIDT W AO1 L D SH - M IH2 T +WALDVOGEL W AO1 L D - V OW2 - G AH0 L +WALE W EY1 L +WALEED W AA2 - L IY1 D +WALEK V AA1 - L EH0 K +WALEN W EY1 - L AH0 N +WALENTA W AH0 - L EH1 N - T AH0 +WALENTA(2) V AH0 - L EH1 N - T AH0 +WALES W EY1 L Z +WALESA W AH0 - L EH1 - S AH0 +WALESA'S W AH0 - L EH1 - S AH0 Z +WALESA'S(2) V AH0 - L EH1 - S AH0 Z +WALESA(2) V AH0 - L EH1 - S AH0 +WALESON W EY1 L - S AH0 N +WALFORD W AO1 L - F ER0 D +WALFRED W AO1 L - F R EH0 D +WALGREEN W AO1 L - G R IY2 N +WALGREN W AO1 L - G R AH0 N +WALICKI W AH0 - L IH1 - K IY0 +WALID W AA0 - L IY1 D +WALIGORA W AO0 - L IH0 - G AO1 - R AH0 +WALINSKY W AH0 - L IH1 N - S K IY0 +WALIZER W AO1 - L AY0 - Z ER0 +WALK W AO1 K +WALK(2) W AA1 K +WALK-ON W AO1 - K AA2 N +WALK-ONS W AO1 - K AA2 N Z +WALKE W AO1 K +WALKED W AO1 K T +WALKEN W AO1 - K AH0 N +WALKENHORST W AO1 - K AH0 N - HH AO2 R S T +WALKER W AO1 - K ER0 +WALKER'S W AO1 - K ER0 Z +WALKERS W AO1 - K ER0 Z +WALKIE W AO1 - K IY0 +WALKIN' W AO1 - K IH0 N +WALKING W AO1 - K IH0 NG +WALKINGTON W AO1 - K IH0 NG - T AH0 N +WALKINSHAW W AO1 - K AH0 N - SH AO0 +WALKLEY W AO1 K - L IY0 +WALKMAN W AO1 K - M AE2 N +WALKMAN(2) W AO1 K - M AH0 N +WALKNER W AO1 K - N ER0 +WALKO W AO1 - K OW0 +WALKOUT W AO1 K - AW2 T +WALKOUTS W AO1 K - AW2 T S +WALKOWIAK W AO0 - K AW1 - IY0 - AE0 K +WALKOWSKI W AO0 - K AO1 F S - K IY0 +WALKS W AO1 K S +WALKUP W AO1 K - AH2 P +WALKURE W AO1 - K Y ER0 +WALKWAY W AO1 K - W EY2 +WALKWAYS W AO1 K - W EY2 Z +WALL W AO1 L +WALL'S W AO1 L Z +WALL-TEX W AO1 L - T EH1 K S +WALLA W AO1 - L AH0 +WALLACE W AO1 - L AH0 S +WALLACE'S W AO1 - L AH0 - S AH0 Z +WALLACE(2) W AO1 - L IH0 S +WALLACH W AO1 - L AH0 K +WALLACK W AO1 - L AH0 K +WALLANDER W AO1 - L AH0 N - D ER0 +WALLAR W AO1 - L ER0 +WALLBOARD W AO1 L - 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Z AH0 L +WEITZEN W AY1 T - S AH0 N +WEITZMAN W AY1 T S - M AH0 N +WEITZMAN'S W AY1 T S - M AH0 N Z +WEITZNER W AY1 T - S N ER0 +WEIZMAN W AY1 Z - M AH0 N +WEIZSAECKER W AY1 - S AE2 - K ER0 +WEKSEL W EH1 K - S AH0 L +WELBILT W EH1 L - B IH1 L T +WELBILT'S W EH1 L - B IH1 L T S +WELBORN W EH1 L - B ER0 N +WELBORNE W EH1 L - B ER0 N +WELBY W EH1 L - B IY0 +WELCH W EH1 L CH +WELCH'S W EH1 L - CH IH0 Z +WELCHEL W EH1 L - CH AH0 L +WELCHER W EH1 L - CH ER0 +WELCOME W EH1 L - K AH0 M +WELCOMED W EH1 L - K AH0 M D +WELCOMES W EH1 L - K AH0 M Z +WELCOMING W EH1 L - K AH0 - M IH0 NG +WELD W EH1 L D +WELDED W EH1 L - D IH0 D +WELDEN W EH1 L - D AH0 N +WELDER W EH1 L - D ER0 +WELDERS W EH1 L - D ER0 Z +WELDIN W EH1 L - D IH0 N +WELDING W EH1 L - D IH0 NG +WELDON W EH1 L - D AH0 N +WELDON'S W EH1 L - D AH0 N Z +WELDS W EH1 L D Z +WELDWOOD W EH1 L D - W UH2 D +WELDY W EH1 L - D IY0 +WELFARE W EH1 L - F EH2 R +WELFORD W EH1 L - F ER0 D +WELGE W EH1 L JH +WELINDER W EH1 - L IH2 N - D ER0 +WELK W EH1 L K +WELKE W EH1 L K +WELKER W EH1 L - K ER0 +WELL W EH1 L +WELL-DOER W EH1 L - D UW1 R +WELLAND W EH1 - L AH0 N D +WELLBEING W EH2 L - B IY1 - IH0 NG +WELLBORN W EH1 L - B AO1 R N +WELLBROCK W EH1 L - B R AH0 K +WELLCO W EH1 L - K OW0 +WELLCOME W EH1 L - K AH2 M +WELLCOME'S W EH1 L - K AH2 M Z +WELLE W EH1 L +WELLEK W EH1 - L EH0 K +WELLEN W EH1 - L AH0 N +WELLENDORF W EH1 - L IH0 N - D AO0 R F +WELLENS W EH1 - L AH0 N Z +WELLER W EH1 - L ER0 +WELLES W EH1 L Z +WELLES' W EH1 L Z +WELLESLEY W EH1 L Z - L IY0 +WELLFLEET W EH1 L - F L IY2 T +WELLHEAD W EH1 L - HH EH2 D +WELLING W EH1 - L IH0 NG +WELLINGTON W EH1 - L IH0 NG - T AH0 N +WELLINGTON'S W EH1 - L IH0 NG - T AH0 N Z +WELLIVER W EH1 - L IH0 - V ER0 +WELLMAN W EH1 L - M AH0 N +WELLNER W EH1 L - N ER0 +WELLNESS W EH1 L - N AH0 S +WELLNITZ W EH1 L - N IH0 T S +WELLONS W EH1 - L AH0 N Z +WELLPOINT W EH1 L - P OY2 N T +WELLS W EH1 L Z +WELLS'S W EH1 L - Z IH0 Z +WELLSPRING W EH1 L - S P R IH2 NG +WELLSTONE W EH1 L - S OW2 N +WELLSTONE'S W EH1 L - S OW2 N Z +WELLTECH W EH1 L - T EH2 K +WELNA W EH1 L - N AH0 +WELP W EH1 L P +WELSCH W EH1 L SH +WELSER W EH1 L - S ER0 +WELSH W EH1 L CH +WELSH(2) W EH1 L SH +WELSHANS W EH1 L - SH AH0 N Z +WELT W EH1 L T +WELTE W EH1 L T +WELTER W EH1 L - T ER0 +WELTERWEIGHT W EH1 L - T ER0 - W EY2 T +WELTMAN W EH1 L T - M AH0 N +WELTON W EH1 L - T AH0 N +WELTY W EH1 L - T IY0 +WELTZ W EH1 L T S +WELZ W EH1 L Z +WEMBLEY W EH1 M - B L IY0 +WEMHOFF W EH1 M - HH AO2 F +WEMMER W EH1 - M ER0 +WEMPE W EH1 M P +WEMPLE W EH1 M - P AH0 L +WEN W EH1 N +WENATCHEE W AH0 - N AE1 - CH IY0 +WENBERG W EH1 N - B ER0 G +WENCESLAUS W EH1 N - S AH0 - S L AO2 S +WENCHES W EH1 N - CH IH0 Z +WENCHESTER W EH1 N - CH EH2 - S T ER0 +WENCHESTER'S W EH1 N - CH EH2 - S T ER0 Z +WENCK W EH1 NG K +WEND W EH1 N D +WENDA W EH1 N - D AH0 +WENDE W EH1 N D +WENDEL W EH1 N - D AH0 L +WENDELINE W EH1 N - D IH0 - L AY2 N +WENDELKEN W EH1 N - D IH0 L - K AH0 N +WENDELL W EH1 N - D AH0 L +WENDER W EH1 N - D ER0 +WENDERS W EH1 N - D ER0 Z +WENDING W EH1 N - D IH0 NG +WENDLAND W EH1 N D - L AH0 N D +WENDLANDT W EH1 N D - L AH0 N T +WENDLER W EH1 N D - L ER0 +WENDLING W EH1 N D - L IH0 NG +WENDORF W EH1 N - D AO0 R F +WENDORFF W EH1 N - D AO0 R F +WENDS W EH1 N D Z +WENDT W EH1 N T +WENDY W EH1 N - D IY0 +WENDY'S W EH1 N - D IY0 Z +WENFAN W EH1 N - F AE1 N +WENG W EH1 NG +WENGE W EH1 N JH +WENGE(2) W EH1 NG +WENGER W EH1 - NG ER0 +WENGERD W EH1 NG - G ER0 D +WENGERT W EH1 NG - G ER0 T +WENGLER W IH1 - NG AH0 - L ER0 +WENGLER(2) W IH1 NG - G L ER0 +WENIG W EH1 - N IH0 G +WENIGER W EH1 - N IH0 - G ER0 +WENINGER W EH1 - N IH0 - NG ER0 +WENK W EH1 NG K +WENKE W EH1 NG K +WENKER W EH1 NG - K ER0 +WENNBERG W EH1 N - B ER0 G +WENNER W EH1 - N ER0 +WENNERSTROM W EH1 - N ER0 - S T R AH0 M +WENNING W EH1 - N IH0 NG +WENNINGER W EH1 - N IH0 - NG ER0 +WENONA W EH1 - N AH0 - N AH0 +WENRICH W EH1 N - R IH0 K +WENRICK W EH1 N - R IH0 K +WENSBERG W EH1 N Z - B ER0 G +WENSEL W EH1 N - S AH0 L +WENSTROM W EH1 N - S T R AH0 M +WENT W EH1 N T +WENTE W EH1 N T +WENTLAND W EH1 N T - L AH0 N D +WENTLING W EH1 N - T L IH0 NG +WENTWORTH W EH1 N - T W ER1 TH +WENTZ W EH1 N T S +WENTZEL W EH1 N T - Z AH0 L +WENTZELL W EH1 N T - Z AH0 L +WENTZVILLE W EH1 N T S - V IH2 L +WENZ W EH1 N Z +WENZEL W EH1 N - Z AH0 L +WENZHOU W EH0 N - Z UW1 +WENZL W EH1 N - Z AH0 L +WENZLER W EH1 N Z - L ER0 +WENZLICK W EH1 N Z - L IH0 K +WEPPLER W EH1 P - L ER0 +WEPT W EH1 P T +WERBER W ER1 - B ER0 +WERDEN W ER1 - D AH0 N +WERDER W ER1 - D ER0 +WERDESHEIM W ER1 D Z - HH AY2 M +WERE W ER0 +WERE(2) W ER1 +WERELDHAVE W EH1 - R AH0 L D - HH AA2 - V EY0 +WEREN'T W ER1 - AH0 N T +WEREN'T(2) W ER1 N T +WEREWOLF W EH1 R - W UH2 L F +WERGIN W ER1 - G IH0 N +WERK W ER1 K +WERKE W ER1 K +WERKHEISER W ER1 K - HH AY0 - S ER0 +WERKING W ER1 - K IH0 NG +WERKMEISTER W ER1 K - M AY0 - S T ER0 +WERLE W AO1 - R AH0 L +WERLEY W ER1 - L IY0 +WERLING W ER1 - L IH0 NG +WERMAN W ER1 - M AH0 N +WERMIEL W ER0 - M IY0 - AH0 L +WERMUTH W ER0 - M UW1 TH +WERNE W ER1 - N AH0 +WERNECKE W ER1 - N IH0 K +WERNER W ER1 - N ER0 +WERNER'S W ER1 - N ER0 Z +WERNERT W ER1 - N ER0 T +WERNET W ER1 - N IH0 T +WERNETTE W ER0 - N EH1 T +WERNICK W ER1 - N IH0 K +WERNICKE W ER1 - N IH0 K +WERNIMONT W ER1 - N IH0 - M AH0 N T +WERNING W ER1 - N IH0 NG +WERNLI W ER1 N - L IY0 +WERNTZ W ER1 N T S +WERRE W EH1 R +WERRY W EH1 - R IY0 +WERST W ER1 S T +WERT W ER1 T +WERTENBERGER W ER1 - T AH0 N - B ER0 - G ER0 +WERTH W ER1 TH +WERTHEIM W ER1 T - HH AY0 M +WERTHEIMER W ER1 T - HH AY0 - M ER0 +WERTHER W ER1 - DH ER0 +WERTMAN W ER1 T - M AH0 N +WERTS W ER1 T S +WERTZ W ER1 T S +WERY W EH1 - R IY0 +WES W EH1 S +WESAT W EH1 - S AE2 T +WESAT(2) W IY1 - S AE2 T +WESCH W EH1 SH +WESCHE W EH1 SH +WESCO W EH1 S - K OW0 +WESCOAT W EH1 S - K OW2 T +WESCOTT W EH1 - S K AA0 T +WESELOH W EY0 - S EY1 - L OW0 +WESELY W IY1 Z - L IY0 +WESEMAN W IY1 Z - M AH0 N +WESEMANN W IY1 Z - M AH0 N +WESENBERG W IY1 - Z AH0 N - B ER0 G +WESKER W EH1 - S K ER0 +WESKER'S W EH1 - S K ER0 Z +WESLER W EH1 - S AH0 - L ER0 +WESLER(2) W EH1 S - L ER0 +WESLEY W EH1 S - L IY0 +WESLEYAN W EH1 Z - L IY0 - AH0 N +WESLIA W EH1 S - L IY0 - AH0 +WESLIA(2) HH W EH1 S - L IY0 - AH0 +WESNER W EH1 S - N ER0 +WESOLEK W EH1 - S AH0 - L IH0 K +WESOLOWSKI V IH0 - S AH0 - L AO1 F S - K IY0 +WESP W EH1 S P +WESPAC W EH1 S - P AE2 K +WESPERCORP W EH1 - S P ER0 - K AO2 R P +WESRAY W EH1 S - R EY0 +WESS W EH1 S +WESSEL W EH1 - S AH0 L +WESSELL W EH1 - S AH0 L +WESSELLS W EH1 - S AH0 L Z +WESSELMAN W EH1 - S AH0 L - M AH0 N +WESSELS W EH1 - S AH0 L Z +WESSEX W EH1 - S AH0 K S +WESSINGER W EH1 - S IH0 N - JH ER0 +WESSLER W EH1 S - L ER0 +WESSLING W EH1 - S AH0 L - IH0 NG +WESSLING(2) W EH1 - S L IH0 NG +WESSMAN W EH1 S - M AH0 N +WESSNER W EH1 S - N ER0 +WESSON W EH1 - S AH0 N +WEST W EH1 S T +WEST'S W EH1 S T S +WESTAIR W EH1 - S T EH1 R +WESTALL W EH1 - S T AH0 L +WESTALL'S W EH1 - S T AH0 L Z +WESTAMERICA W EH2 - S T AH0 - M EH1 - R IH0 - K AH0 +WESTAMERICA'S W EH2 - S T AH0 - M EH1 - R IH0 - K AH0 Z +WESTAR W EH1 - S T ER0 +WESTBAY W EH1 S T - B EY2 +WESTBERG W EH1 S T - B ER0 G +WESTBERRY W EH1 S T - B EH2 - R IY0 +WESTBORO W EH1 S T - B ER0 - OW0 +WESTBOROUGH W EH1 S T - B ER0 - OW0 +WESTBOUND W EH1 S T - B AW2 N D +WESTBRIDGE W EH1 S T - B R IH2 JH +WESTBROOK W EH1 S T - B R UH2 K +WESTBROOKS W EH1 S T - B R UH2 K S +WESTBURNE W EH1 S T - B ER0 N +WESTBURY W EH1 S T - B EH2 - R IY0 +WESTBY W EH1 S T - B IY0 +WESTCAP W EH1 S T - K AE2 P +WESTCHESTER W EH1 S T - CH EH2 - S T ER0 +WESTCHESTER'S W EH1 S T - CH EH2 - S T ER0 Z +WESTCOAST W EH1 S T - K OW2 S T +WESTCOAST'S W EH1 S T - K OW2 S T S +WESTCORP W EH1 S T - K AO2 R P +WESTCOTT W EH1 S T - K AA2 T +WESTDEUTSCHE W EH1 S T - D OY1 CH +WESTECH W EH1 S - T EH0 K +WESTEN W EH1 - S T AH0 N +WESTENBERGER W EH1 - S T AH0 N - B ER0 - G ER0 +WESTENDORF W EH1 - S T IH0 N - D AO0 R F +WESTER W EH1 - S T ER0 +WESTERBECK W EH1 - S T ER0 - B EH2 K +WESTERBERG W EH1 - S T ER0 - B ER0 G +WESTERFELD W EH1 - S T ER0 - F EH2 L D +WESTERFIELD W EH1 - S T ER0 - F IY2 L D +WESTERGAARD W EH1 - S T ER0 - G AA2 R D +WESTERGARD W EH1 - S T ER0 - G ER0 D +WESTERGREN W EH1 - S T ER0 - G R EH0 N +WESTERHOFF W EH1 - S T ER0 - HH AO2 F +WESTERHOLD W EH1 - S T ER0 - HH OW2 L D +WESTERLUND W EH1 - S T ER0 - L AH0 N D +WESTERLY W EH1 - S T ER0 - L IY0 +WESTERMAN W EH1 - S T ER0 - M AH0 N +WESTERMANN W EH1 - S T ER0 - M AH0 N +WESTERMEYER W EH1 - S T ER0 - M AY0 - ER0 +WESTERN W EH1 - S T ER0 N +WESTERN'S W EH1 - S T ER0 N Z +WESTERN(2) HH W EH1 - S T ER0 N +WESTERNER W EH1 S - T ER0 - N ER0 +WESTERNERS W EH1 S - T ER0 - N ER0 Z +WESTERNIZATION W EH2 - S T ER0 - N IH0 - Z EY1 - SH AH0 N +WESTERNIZE W EH1 - S T ER0 - N AY2 Z +WESTERNIZED W EH1 - S T ER0 - N AY2 Z D +WESTERNMOST W EH1 - S T ER0 N - M OW2 S T +WESTERNS W EH1 - S T ER0 N Z +WESTERVELT W EH1 - S T ER0 - V IH0 L T +WESTFAELISCHES W EH1 S T - F EY2 - L IH0 - SH IH0 Z +WESTFAHL W EH1 S T - F AA2 L +WESTFALL W EH1 S T - F AO2 L +WESTFED W EH1 S T - F EH2 D +WESTFIELD W EH1 S T - F IY0 L D +WESTFORD W EH1 S T - F ER0 D +WESTGATE W EH1 S T - G EY2 T +WESTHAMPTON W EH2 S T - HH AE1 M P - T AH0 N +WESTHEIMER W EH1 S T - HH AY2 - M ER0 +WESTHOFF W EH1 S T - HH AO2 F +WESTIN W EH1 - S T IH0 N +WESTINGHOUSE W EH1 - S T IH0 NG - HH AW2 S +WESTINGHOUSE'S W EH1 - S T IH0 NG - HH AW2 - S IH0 Z +WESTLAKE W EH1 S T - L EY2 K +WESTLAND W EH1 S T - L AH0 N D +WESTLEIGH W EH1 S T - L AY0 +WESTLEY W EH1 S T - L IY0 +WESTLING W EH1 S T - L IH0 NG +WESTLUND W EH1 S T - L AH0 N D +WESTMAN W EH1 S T - M AH0 N +WESTMARC W EH1 S T - M AA2 R K +WESTMARK W EH1 S T - M AA2 R K +WESTMARK'S W EH1 S T - M AA2 R K S +WESTMIN W EH1 S T - M IH0 N +WESTMINSTER W EH2 S T - M IH1 N - S T ER0 +WESTMORELAND W EH0 S T - M AO1 R - L AH0 N D +WESTON W EH1 - S T AH0 N +WESTOVER W EH1 - S T OW2 - V ER0 +WESTPAC W EH1 S T - P AE2 K +WESTPAC'S W EH1 S T - P AE2 K S +WESTPHAL W EH1 S T - F AH0 L +WESTPHALEN W EH1 S T - F AH0 - L AH0 N +WESTPHALIA W EH1 S T - F EY2 - L IY0 - AH0 +WESTPHALIA(2) W EH1 S T - F EY2 - L Y AH0 +WESTPORT W EH1 S T - P AO2 R T +WESTPRIDE W EH1 S T - P R AY2 D +WESTRA W EH1 S - T R AH0 +WESTRICH W EH1 - S T R IH0 K +WESTRICK W EH1 - S T R IH0 K +WESTRIDGE W EH1 S - T R IH2 JH +WESTROM W EH1 S - T R AH0 M +WESTRUM W EH1 S - T R AH0 M +WESTRUP W EH1 S - T R AH0 P +WESTSIDE W EH1 S T - S AY1 D +WESTTECH W EH1 S - T EH2 K +WESTTECH'S W EH1 - S T EH2 K S +WESTVACO W EH2 S T - V AE1 - K OW0 +WESTWARD W EH1 S T - W ER0 D +WESTWARDS W EH1 S T - W ER0 D Z +WESTWOOD W EH1 S T - W UH2 D +WESTWOOD'S W EH1 S T - W UH2 D Z +WESTWORLD W EH1 S T - W ER2 L D +WESUN W IY1 - S AH2 N +WET W EH1 T +WETHERBEE W EH1 - DH ER0 - B IY2 +WETHERBY W EH1 - TH ER0 - B IY0 +WETHERELL W EH1 - TH ER0 - AH0 L +WETHERILL W EH1 - TH ER0 - AH0 L +WETHERINGTON W EH1 - DH ER0 - IH0 NG - T AH0 N +WETHERLY W EH1 - DH ER0 - L IY0 +WETHINGTON W EH1 - TH IH0 NG - T AH0 N +WETLAND W EH1 T - L AE2 N D +WETLANDS W EH1 T - L AE2 N D Z +WETLANDS' W EH1 T - L AE2 N D Z +WETMORE W EH1 T - M AO0 R +WETNESS W EH1 T - N AH0 S +WETSEL W EH1 T - S AH0 L +WETSTEIN W EH1 T - S T IY2 N +WETSTEIN(2) W EH1 T - S T AY2 N +WETSUIT W EH1 T - S UW2 T +WETTENGEL W EH1 - T IH0 NG - G AH0 L +WETTER W EH1 - T ER0 +WETTERAU W EH1 - T ER0 - AW0 +WETTERGREEN W EH1 - T ER0 - G R IY2 N +WETTEST W EH1 - T AH0 S T +WETTING W EH1 - T IH0 NG +WETTING(2) HH W EH1 - T IH0 NG +WETTLAUFER W EH1 T - L AW0 - F ER0 +WETTSTEIN W EH1 T - S T AY0 N +WETTSTEIN(2) W EH1 T - S T IY0 N +WETZ W EH1 T S +WETZEL W EH1 T - Z AH0 L +WETZLER W EH1 T - S L ER0 +WETZSTEIN W EH1 T - S T AY0 N +WETZSTEIN(2) W EH1 T - S T IY0 N +WEVER W IY1 - V ER0 +WEXLER W EH1 K S - L ER0 +WEXNER W EH1 K S - N ER0 +WEY W EY1 +WEYAND W EY1 - AH0 N D +WEYANDT W EY1 - AH0 N T +WEYANT W EY1 - AH0 N T +WEYENBERG W AY1 N - B ER0 G +WEYER W EY1 - ER0 +WEYERHAEUSER W EH1 R - HH AW2 - Z ER0 +WEYERHAEUSER'S W EH2 R - HH AW2 - Z ER0 Z +WEYERS W EY1 - ER0 Z +WEYFORTH W EY1 - F AO2 R TH +WEYGANDT W EY1 - G AH0 N T +WEYHRAUCH W EY1 - R AW2 K +WEYL W EY1 L +WEYLAND W EY1 - L AH0 N D +WEYLIN W EY1 - L IH0 N +WEYMAN W EY1 - M AH0 N +WEYMER W EY1 - M ER0 +WEYMOUTH W EY1 - M AH0 TH +WEYRAUCH W EH1 - R AW0 K +WEYRICH W EH1 - R IH0 K +WEYRICK W EY1 - R IH0 K +WHACK W AE1 K +WHACK(2) HH W AE1 K +WHACKED W AE1 K T +WHACKED(2) HH W AE1 K T +WHACKING W AE1 - K IH0 NG +WHACKING(2) HH W AE1 - K IH0 NG +WHACKO W AE1 - K OW0 +WHACKS W AE1 K S +WHACKS(2) HH W AE1 K S +WHALE W EY1 L +WHALE'S W EY1 L Z +WHALE'S(2) HH W EY1 L Z +WHALE(2) HH W EY1 L +WHALEN W EY1 - L AH0 N +WHALEN(2) HH W EY1 - L AH0 N +WHALER W EY1 - L ER0 +WHALER(2) HH W EY1 - L ER0 +WHALERS W EY1 - L ER0 Z +WHALERS(2) HH W EY1 - L ER0 Z +WHALES W EY1 L Z +WHALES(2) HH W EY1 L Z +WHALEY W EY1 - L IY0 +WHALEY(2) HH W EY1 - L IY0 +WHALIN W AE1 - L IH0 N +WHALING W EY1 - L IH0 NG +WHALING(2) HH W EY1 - L IH0 NG +WHALLEY W AE1 - L IY0 +WHAM W AE1 M +WHAM(2) HH W AE1 M +WHAMMY W AE1 - M IY0 +WHAMMY(2) HH W AE1 - M IY0 +WHAMPOA W AE0 M - P OW1 - AH0 +WHAN W AE1 N +WHAN(2) HH W AE1 N +WHANG W AE1 NG +WHANG(2) HH W AE1 NG +WHARF W AO1 R F +WHARF'S W AO1 R F S +WHARF'S(2) HH W AO1 R F S +WHARF(2) HH W AO1 R F +WHARFF W AA1 R F +WHARFF(2) HH W AA1 R F +WHARRY W AE1 - R IY0 +WHARRY(2) HH W AE1 - R IY0 +WHARTON W AO1 R - T AH0 N +WHARTON'S W AO1 R - T AH0 N Z +WHAT W AH1 T +WHAT'D W AH1 - T IH0 D +WHAT'D(2) HH W AH1 - T IH0 D +WHAT'LL W AH1 - T AH0 L +WHAT'LL(2) HH W AH1 - T AH0 L +WHAT'RE W AH1 - T ER0 +WHAT'RE(2) HH W AH1 - T ER0 +WHAT'S W AH1 T S +WHAT'S(2) HH W AH1 T S +WHAT(2) HH W AH1 T +WHATEVER W AH2 T - EH1 - V ER0 +WHATEVER'S W AH2 T - EH1 - V ER0 Z +WHATEVER'S(2) HH W AH2 - T EH1 - V ER0 Z +WHATEVER(2) HH W AH2 T - EH1 - V ER0 +WHATLEY W AH1 T - L IY0 +WHATLEY(2) HH W AH1 T - L IY0 +WHATNOT W AH1 T - N AA2 T +WHATNOT(2) HH W AH1 T - N AA2 T +WHATS W AH0 T S +WHATS(2) HH W AH0 T S +WHATSOEVER W AH2 T - S OW0 - EH1 - V ER0 +WHATSOEVER(2) HH W AH2 T - S OW0 - EH1 - V ER0 +WHAY-YU W EY1 - Y UW1 +WHAY-YU(2) HH W EY1 - Y UW1 +WHEAT W IY1 T +WHEAT(2) HH W IY1 T +WHEATEN W IY1 - T AH0 N +WHEATEN(2) HH W IY1 - T AH0 N +WHEATIE W IY1 - T IY0 +WHEATIE(2) HH W IY1 - T IY0 +WHEATIES W IY1 - T IY0 Z +WHEATIES(2) HH W IY1 - T IY0 Z +WHEATLEY W IY1 T - L IY0 +WHEATLEY(2) HH W IY1 T - L IY0 +WHEATLY W IY1 T - L IY0 +WHEATLY(2) HH W IY1 T - L IY0 +WHEATON W IY1 - T AH0 N +WHEATON(2) HH W IY1 - T AH0 N +WHEDBEE W EH1 D - B IY2 +WHEDBEE(2) HH W EH1 D - B IY2 +WHEDON W EH1 - D AH0 N +WHEDON(2) HH W EH1 - D AH0 N +WHEEL W IY1 L +WHEEL(2) HH W IY1 L +WHEELABRATOR W IY2 - L AH0 - B R EY1 - T ER0 +WHEELABRATOR(2) HH W IY2 - L AH0 - B R EY1 - T ER0 +WHEELAN W IY1 - L AH0 N +WHEELAN(2) HH W IY1 - L AH0 N +WHEELAND W IY1 - L AH0 N D +WHEELAND(2) HH W IY1 - L AH0 N D +WHEELBARROW W IY1 L - B EH2 - R OW0 +WHEELBARROW(2) HH W IY1 L - B EH2 - R OW0 +WHEELBARROWS W IY1 L - B EH2 - R OW0 Z +WHEELBARROWS(2) HH W IY1 L - B EH2 - R OW0 Z +WHEELBASE W IY1 L - B EY2 S +WHEELBASE(2) HH W IY1 L - B EY2 S +WHEELCHAIR W IY1 L - CH EH2 R +WHEELCHAIR(2) HH W IY1 L - CH EH2 R +WHEELCHAIRS W IY1 L - CH EH2 R Z +WHEELCHAIRS(2) HH W IY1 L - CH EH2 R Z +WHEELDON W IY1 L - D AH0 N +WHEELDON(2) HH W IY1 L - D AH0 N +WHEELED W IY1 L D +WHEELED(2) HH W IY1 L D +WHEELER W IY1 - L ER0 +WHEELER'S W IY1 - L ER0 Z +WHEELER'S(2) HH W IY1 - L ER0 Z +WHEELER(2) HH W IY1 - L ER0 +WHEELERS W IY1 - L ER0 Z +WHEELERS(2) HH W IY1 - L ER0 Z +WHEELESS W IY1 - L AH0 S +WHEELESS(2) HH W IY1 - L AH0 S +WHEELING W IY1 - L IH0 NG +WHEELING'S W IY1 - L IH0 NG Z +WHEELING'S(2) HH W IY1 - L IH0 NG Z +WHEELING(2) HH W IY1 - L IH0 NG +WHEELIS W IY1 - L IH0 S +WHEELIS(2) HH W IY1 - L IH0 S +WHEELOCK W IY1 - L AA2 K +WHEELOCK(2) HH W IY1 - L AA2 K +WHEELON W IY1 - L AH0 N +WHEELON(2) HH W IY1 - L AH0 N +WHEELS W IY1 L Z +WHEELS(2) HH W IY1 L Z +WHEELUS W IY1 - L AH0 S +WHEELUS(2) HH W IY1 - L AH0 S +WHEELWRIGHT W IY1 L - R AY2 T +WHEELWRIGHT(2) HH W IY1 L - R AY2 T +WHEELWRITER W IY1 L - R AY2 - T ER0 +WHEELWRITER(2) HH W IY1 L - R AY2 - T ER0 +WHEEZE W IY1 Z +WHEEZE(2) HH W IY1 Z +WHEEZES W IY1 - Z AH0 Z +WHEEZES(2) HH W IY1 - Z AH0 Z +WHEEZES(3) W IY1 - Z IH0 Z +WHEEZING W IY1 - Z IH0 NG +WHEEZING(2) HH W IY1 - Z IH0 NG +WHELAN W EH1 - L AH0 N +WHELAN(2) HH W EH1 - L AH0 N +WHELAN(3) HH W IY1 - L AH0 N +WHELAN(4) W IY1 - L AH0 N +WHELCHEL W EH1 L - CH AH0 L +WHELCHEL(2) HH W EH1 L - CH AH0 L +WHELESS W IY1 - L IH0 S +WHELESS(2) HH W IY1 - L IH0 S +WHELPLEY W EH1 L P - L IY0 +WHELPLEY(2) HH W EH1 L P - L IY0 +WHELTON W EH1 L - T AH0 N +WHELTON(2) HH W EH1 L - T AH0 N +WHEN W EH1 N +WHEN'LL W EH1 - N AH0 L +WHEN'LL(2) HH W EH1 - N AH0 L +WHEN'S W EH1 N Z +WHEN'S(2) HH W EH1 N Z +WHEN(2) HH W EH1 N +WHEN(3) W IH1 N +WHEN(4) HH W IH1 N +WHENCE W EH1 N S +WHENCE(2) HH W EH1 N S +WHENEVER W EH0 N - EH1 - V ER0 +WHENEVER(2) HH W EH0 - N EH1 - V ER0 +WHERE W EH1 R +WHERE'D W EH1 R D +WHERE'D(2) HH W EH1 R D +WHERE'S W EH1 R Z +WHERE'S(2) HH W EH1 R Z +WHERE(2) HH W EH1 R +WHEREABOUTS W EH1 - R AH0 - B AW2 T S +WHEREABOUTS(2) HH W EH1 - R AH0 - B AW2 T S +WHEREAS W EH0 - R AE1 Z +WHEREAS(2) HH W EH0 - R AE1 Z +WHEREBY W EH0 R - B AY1 +WHEREBY(2) HH W EH0 R - B AY1 +WHEREIN W EH0 - R IH1 N +WHEREIN(2) HH W EH0 - R IH1 N +WHEREUPON W EH1 - R AH0 - P AA1 N +WHEREUPON(2) HH W EH1 - R AH0 - P AA1 N +WHEREVER W EH0 - R EH1 - V ER0 +WHEREVER(2) HH W EH0 - R EH1 - V ER0 +WHEREWITHAL W EH1 R - W IH0 - DH AO2 L +WHEREWITHAL(2) HH W EH1 R - W IH0 - DH AO2 L +WHERLEY W ER1 - L IY0 +WHERLEY(2) HH W ER1 - L IY0 +WHERRY W EH1 - R IY0 +WHERRY(2) HH W EH1 - R IY0 +WHET W EH1 T +WHET(2) HH W EH1 T +WHETHER W EH1 - DH ER0 +WHETHER(2) HH W EH1 - DH ER0 +WHETSEL W EH1 T - S AH0 L +WHETSEL(2) HH W EH1 T - S AH0 L +WHETSELL W EH1 T - S AH0 L +WHETSELL(2) HH W EH1 T - S AH0 L +WHETSTINE W EH1 T - S T IY0 N +WHETSTINE(2) HH W EH1 T - S T IY0 N +WHETSTONE W EH1 T - S T OW2 N +WHETSTONE(2) HH W EH1 T - S T OW2 N +WHETTED W EH1 - T IH0 D +WHETTED(2) HH W EH1 - T IH0 D +WHETZEL W EH1 T - Z AH0 L +WHETZEL(2) HH W EH1 T - Z AH0 L +WHEW W UW1 +WHEW(2) HH W UW1 +WHEW(3) HH Y UW1 +WHEY W EY1 +WHEY(2) HH W EY1 +WHICH W IH1 CH +WHICH'RE W IH1 - CH ER0 +WHICH'RE(2) HH W IH1 - CH ER0 +WHICH'S W IH1 - CH IH0 Z +WHICH'S(2) HH W IH1 - CH IH0 Z +WHICH(2) HH W IH1 CH +WHICHARD W IH1 - CH ER0 D +WHICHARD(2) HH W IH1 - CH ER0 D +WHICHEVER W IH0 CH - EH1 - V ER0 +WHICHEVER(2) HH W IH0 CH - EH1 - V ER0 +WHICKER W IH1 - K ER0 +WHICKER(2) HH W IH1 - K ER0 +WHIDBY W IH1 D - B IY0 +WHIDBY(2) HH W IH1 D - B IY0 +WHIDDEN W IH1 - D AH0 N +WHIDDEN(2) HH W IH1 - D AH0 N +WHIDDON W IH1 - D AH0 N +WHIDDON(2) HH W IH1 - D AH0 N +WHIFF W IH1 F +WHIFF(2) HH W IH1 F +WHIG W IH1 G +WHIG(2) HH W IH1 G +WHIGHAM W IH1 - G AH0 M +WHIGHAM(2) HH W IH1 - G AH0 M +WHIGS W IH1 G Z +WHIGS(2) HH W IH1 G Z +WHILDEN W AY1 L - D AH0 N +WHILDEN(2) HH W AY1 L - D AH0 N +WHILE W AY1 L +WHILE(2) HH W AY1 L +WHILES W AY1 L Z +WHILES(2) HH W AY1 L Z +WHILST W AY1 L S T +WHIM W IH1 M +WHIM(2) HH W IH1 M +WHIMPER W IH1 M - P ER0 +WHIMPER(2) HH W IH1 M - P ER0 +WHIMPERING W IH1 M - P ER0 - IH0 NG +WHIMPERING(2) HH W IH1 M - P ER0 - IH0 NG +WHIMS W IH1 M Z +WHIMS(2) HH W IH1 M Z +WHIMSICAL W IH1 M - Z IH0 - K AH0 L +WHIMSICAL(2) HH W IH1 M - Z IH0 - K AH0 L +WHIMSY W IH1 M - S IY0 +WHIMSY(2) HH W IH1 M - S IY0 +WHINE W AY1 N +WHINE(2) HH W AY1 N +WHINER W AY1 - N ER0 +WHINER(2) HH W AY1 - N ER0 +WHINERS W AY1 - N ER0 Z +WHINERS(2) HH W AY1 - N ER0 Z +WHINERY W AY1 - N ER0 - IY0 +WHINERY(2) HH W AY1 - N ER0 - IY0 +WHINES W AY1 N Z +WHINES(2) HH W AY1 N Z +WHINING W AY1 - N IH0 NG +WHINING(2) HH W AY1 - N IH0 NG +WHINNERY W IH1 - N ER0 - IY0 +WHINNERY(2) HH W IH1 - N ER0 - IY0 +WHINNEY W IH1 - N IY0 +WHINNEY(2) HH W IH1 - N IY0 +WHINY W AY1 - N IY0 +WHINY(2) HH W AY1 - N IY0 +WHIP W IH1 P +WHIP(2) HH W IH1 P +WHIPKEY W IH1 P - K IY2 +WHIPKEY(2) HH W IH1 P - K IY2 +WHIPLASH W IH1 P - L AE2 SH +WHIPLASH(2) HH W IH1 P - L AE2 SH +WHIPLASHES W IH1 P - L AE2 - SH AH0 Z +WHIPLASHES(2) HH W IH1 P - L AE2 - SH AH0 Z +WHIPP W IH1 P +WHIPP(2) HH W IH1 P +WHIPPANY W IH1 - P AH0 - N IY0 +WHIPPANY(2) HH W IH1 - P AH0 - N IY0 +WHIPPED W IH1 P T +WHIPPED(2) HH W IH1 P T +WHIPPING W IH1 - P IH0 NG +WHIPPING(2) HH W IH1 - P IH0 NG +WHIPPLE W IH1 - P AH0 L +WHIPPLE'S W IH1 - P AH0 L Z +WHIPPLE'S(2) HH W IH1 - P AH0 L Z +WHIPPLE(2) HH W IH1 - P AH0 L +WHIPPOORWILLS W IH1 P - ER0 - W IH2 L Z +WHIPPOORWILLS(2) HH W IH1 P - ER0 - W IH2 L Z +WHIPPS W IH1 P S +WHIPPS(2) HH W IH1 P S +WHIPS W IH1 P S +WHIPS(2) HH W IH1 P S +WHIPSAW W IH1 P - S AO2 +WHIPSAW(2) HH W IH1 P - S AO2 +WHIPSAWED W IH1 P - S AO2 D +WHIPSAWED(2) HH W IH1 P - S AO2 D +WHIPSAWING W IH1 P - S AO2 - IH0 NG +WHIPSAWING(2) HH W IH1 P - S AO2 - IH0 NG +WHIRL W ER1 L +WHIRL(2) HH W ER1 L +WHIRLED W ER1 L D +WHIRLED(2) HH W ER1 L D +WHIRLEY W ER1 - L IY0 +WHIRLEY(2) HH W ER1 - L IY0 +WHIRLING W ER1 - L IH0 NG +WHIRLING(2) HH W ER1 - L IH0 NG +WHIRLPOOL W ER1 L - P UW2 L +WHIRLPOOL'S W ER1 L - P UW2 L Z +WHIRLPOOL'S(2) HH W ER1 L - P UW2 L Z +WHIRLPOOL(2) HH W ER1 L - P UW2 L +WHIRLPOOLS W ER1 L - P UW2 L Z +WHIRLPOOLS(2) HH W ER1 L - P UW2 L Z +WHIRLWIND W ER1 L - W IH2 N D +WHIRLWIND(2) HH W ER1 L - W IH2 N D +WHIRRING W ER1 - IH0 NG +WHIRRING(2) HH W ER1 - IH0 NG +WHISENAND W IH1 - S IH0 - N AE0 N D +WHISENAND(2) HH W IH1 - S IH0 - N AE0 N D +WHISENANT W IH1 - S IH0 - N AH0 N T +WHISENANT(2) HH W IH1 - S IH0 - N AH0 N T +WHISENHUNT W AY1 - Z AH0 N - HH AH2 N T +WHISENHUNT(2) HH W AY1 - Z AH0 N - HH AH2 N T +WHISK W IH1 S K +WHISK(2) HH W IH1 S K +WHISKED W IH1 S K T +WHISKED(2) HH W IH1 S K T +WHISKER W IH1 - S K ER0 +WHISKER(2) HH W IH1 - S K ER0 +WHISKERS W IH1 - S K ER0 Z +WHISKERS(2) HH W IH1 - S K ER0 Z +WHISKEY W IH1 S - K IY0 +WHISKEY(2) HH W IH1 S - K IY0 +WHISKEYS W IH1 - S K IY0 Z +WHISKEYS(2) HH W IH1 - S K IY0 Z +WHISKS W IH1 S K S +WHISKS(2) HH W IH1 S K S +WHISKY W IH1 S - K IY0 +WHISKY(2) HH W IH1 S - K IY0 +WHISLER W IH1 S - L ER0 +WHISLER(2) HH W IH1 S - L ER0 +WHISMAN W IH1 S - M AH0 N +WHISMAN(2) HH W IH1 S - M AH0 N +WHISNANT W IH1 S - N AH0 N T +WHISNANT(2) HH W IH1 S - N AH0 N T +WHISNER W IH1 S - N ER0 +WHISNER(2) HH W IH1 S - N ER0 +WHISONANT W IH1 - S AH0 - N AH0 N T +WHISPER W IH1 - S P ER0 +WHISPER(2) HH W IH1 - S P ER0 +WHISPERED W IH1 - S P ER0 D +WHISPERED(2) HH W IH1 - S P ER0 D +WHISPERING W IH1 - S P ER0 - IH0 NG +WHISPERING(2) HH W IH1 - S P ER0 - IH0 NG +WHISPERS W IH1 - S P ER0 Z +WHISPERS(2) HH W IH1 - S P ER0 Z +WHISTLE W IH1 - S AH0 L +WHISTLE(2) HH W IH1 - S AH0 L +WHISTLEBLOWER W IH1 - S AH0 L - B L OW2 - ER0 +WHISTLEBLOWER(2) HH W IH1 - S AH0 L - B L OW2 - ER0 +WHISTLEBLOWERS W IH1 - S AH0 L - B L OW2 - ER0 Z +WHISTLEBLOWERS(2) HH W IH1 - S AH0 L - B L OW2 - ER0 Z +WHISTLED W IH1 - S AH0 L D +WHISTLED(2) HH W IH1 - S AH0 L D +WHISTLER W IH1 S - L ER0 +WHISTLER(2) HH W IH1 S - L ER0 +WHISTLERS W IH1 S - L ER0 Z +WHISTLERS(2) HH W IH1 S - L ER0 Z +WHISTLES W IH1 - S AH0 L Z +WHISTLES(2) HH W IH1 - S AH0 L Z +WHISTLING W IH1 - S L IH0 NG +WHISTLING(2) HH W IH1 - S L IH0 NG +WHISTON W IH1 - S T AH0 N +WHISTON(2) HH W IH1 - S T AH0 N +WHIT W IH1 T +WHIT(2) HH W IH1 T +WHITACRE W IH1 - T AH0 - K ER0 +WHITACRE(2) HH W IH1 - T AH0 - K ER0 +WHITAKER W IH1 - T AH0 - K ER0 +WHITAKER(2) HH W IH1 - T AH0 - K ER0 +WHITBECK W IH1 T - B EH2 K +WHITBECK(2) HH W IH1 T - B EH2 K +WHITBREAD W IH1 T - B R EH2 D +WHITBREAD(2) HH W IH1 T - B R EH2 D +WHITBY W IH1 T - B IY0 +WHITBY(2) HH W IH1 T - B IY0 +WHITCHER W IH1 - CH ER0 +WHITCHER(2) HH W IH1 - CH ER0 +WHITCHURCH W IH1 T - CH ER2 CH +WHITCHURCH(2) HH W IH1 T - CH ER2 CH +WHITCOMB W IH1 T - K AH0 M +WHITCOMB(2) HH W IH1 T - K AH0 M +WHITCRAFT W IH1 T - K R AE2 F T +WHITCRAFT(2) HH W IH1 T - K R AE2 F T +WHITE W AY1 T +WHITE'S W AY1 T S +WHITE'S(2) HH W AY1 T S +WHITE(2) HH W AY1 T +WHITEAKER W IH1 - T AH0 - K ER0 +WHITEAKER(2) HH W IH1 - T AH0 - K ER0 +WHITEBREAD W AY1 T - B R EH2 D +WHITEBREAD(2) HH W AY1 T - B R EH2 D +WHITECOTTON W AY1 T - K AA2 - T AH0 N +WHITECOTTON(2) HH W AY1 T - K AA2 - T AH0 N +WHITED W AY1 - T IH0 D +WHITED(2) HH W AY1 - T IH0 D +WHITEFIELD W AY1 T - F IY2 L D +WHITEFIELD(2) HH W AY1 T - F IY2 L D +WHITEFISH W AY1 T - F IH2 SH +WHITEFISH(2) HH W AY1 T - F IH2 SH +WHITEFORD W AY1 T - F AO0 R D +WHITEFORD(2) HH W AY1 T - F AO0 R D +WHITEHAIR W AY1 T - HH EH1 R +WHITEHAIR(2) HH W AY1 T - HH EH1 R +WHITEHALL W AY1 T - HH AO2 L +WHITEHALL'S W AY1 T - HH AO2 L Z +WHITEHALL'S(2) HH W AY1 T - HH AO2 L Z +WHITEHALL(2) HH W AY1 T - HH AO2 L +WHITEHEAD W AY1 T - HH EH2 D +WHITEHEAD'S W AY1 T - HH EH2 D Z +WHITEHEAD'S(2) HH W AY1 T - HH EH2 D Z +WHITEHEAD(2) HH W AY1 T - HH EH2 D +WHITEHILL W AY1 T - HH IH2 L +WHITEHILL(2) HH W AY1 T - HH IH2 L +WHITEHORN W AY1 T - HH AO2 R N +WHITEHORN(2) HH W AY1 T - HH AO2 R N +WHITEHORSE W AY1 T - HH AO2 R S +WHITEHORSE(2) HH W AY1 T - HH AO2 R S +WHITEHOUSE W AY1 T - HH AW2 S +WHITEHOUSE(2) HH W AY1 T - HH AW2 S +WHITEHURST W AY1 T - HH ER2 S T +WHITEHURST'S W AY1 T - HH ER2 S T +WHITEHURST(2) HH W AY1 T - HH ER2 S T +WHITELAW W AY1 T - L AO2 +WHITELAW(2) HH W AY1 T - L AO2 +WHITELEY W AY1 T - L IY0 +WHITELEY(2) HH W AY1 T - L IY0 +WHITELOCK W AY1 T - L AA2 K +WHITELOCK(2) HH W AY1 T - L AA2 K +WHITELY W AY1 T - L IY0 +WHITELY(2) HH W AY1 T - L IY0 +WHITEMAN W AY1 T - M AH0 N +WHITEMAN(2) HH W AY1 T - M AH0 N +WHITEMONT W AY1 T - M AA2 N T +WHITEMONT(2) HH W AY1 T - M AA2 N T +WHITEN W AY1 - T AH0 N +WHITEN(2) HH W AY1 - T AH0 N +WHITENACK W AY1 T - N AE2 K +WHITENACK(2) HH W AY1 T - N AE2 K +WHITENEIR W AY1 T - N IH2 R +WHITENEIR(2) HH W AY1 T - N IH2 R +WHITENER W AY1 T - N ER0 +WHITENER(2) HH W AY1 T - N ER0 +WHITENESS W AY1 T - N AH0 S +WHITENESS(2) HH W AY1 T - N AH0 S +WHITENIGHT W AY1 T - N AY2 T +WHITENIGHT(2) HH W AY1 T - N AY2 T +WHITENING W AY1 - T IH0 - N IH0 NG +WHITENING(2) W AY1 T - N IH0 NG +WHITENING(3) HH W AY1 - T IH0 - N IH0 NG +WHITENING(4) HH W AY1 T - N IH0 NG +WHITER W AY1 - T ER0 +WHITER(2) HH W AY1 - T ER0 +WHITES W AY1 T S +WHITES(2) HH W AY1 T S +WHITESCARVER W AY1 T - S K AA2 R - V ER0 +WHITESCARVER(2) HH W AY1 T - S K AA2 R - V ER0 +WHITESEL W AY1 T - S EH2 L +WHITESEL(2) HH W AY1 T - S EH2 L +WHITESELL W AY1 T - S EH2 L +WHITESELL(2) HH W AY1 T - S EH2 L +WHITESIDE W AY1 T - S AY2 D +WHITESIDE(2) HH W AY1 T - S AY2 D +WHITESIDES W AY1 T - S AY2 D Z +WHITESIDES(2) HH W AY1 T - S AY2 D Z +WHITEST W AY1 - T IH0 S T +WHITEST(2) HH W AY1 - T IH0 S T +WHITESTONE W AY1 T - S T OW2 N +WHITESTONE(2) HH W AY1 T - S T OW2 N +WHITETAIL W AY1 T - T EY2 L +WHITETAIL(2) HH W AY1 T - T EY2 L +WHITETAIL(3) HH W AY1 - T EY2 L +WHITEWASH W AY1 T - W AA2 SH +WHITEWASH(2) HH W AY1 T - W AA2 SH +WHITEWASHED W AY1 T - W AA2 SH T +WHITEWASHED(2) HH W AY1 T - W AA2 SH T +WHITEWATER W AY1 T - W AO2 - T ER0 +WHITEWATER'S W AY1 T - W AO2 - T ER0 Z +WHITEWATER'S(2) HH W AY1 T - W AO2 - T ER0 Z +WHITEWATER(2) HH W AY1 T - W AO2 - T ER0 +WHITEY W AY1 - T IY2 +WHITEY(2) HH W AY1 - T IY2 +WHITEY(3) HH W AY1 - T IY0 +WHITFIELD W IH1 T - F IY0 L D +WHITFIELD(2) HH W IH1 T - F IY0 L D +WHITFILL W IH1 T - F IH2 L +WHITFILL(2) HH W IH1 T - F IH2 L +WHITFORD W IH1 T - F ER0 D +WHITFORD(2) HH W IH1 T - F ER0 D +WHITHAM W IH1 - TH AH0 M +WHITHAM(2) HH W IH1 - TH AH0 M +WHITHAM(3) HH W IH1 - T AH0 M +WHITHER W IH1 - DH ER0 +WHITHER(2) HH W IH1 - DH ER0 +WHITING W AY1 - T IH0 NG +WHITING(2) HH W AY1 - T IH0 NG +WHITINGS W AY1 - T IH0 NG Z +WHITINGS(2) HH W AY1 - T IH0 NG Z +WHITIS W AY1 - T IH0 S +WHITIS(2) HH W AY1 - T IH0 S +WHITISH W AY1 - T IH0 SH +WHITISH(2) HH W AY1 - T IH0 SH +WHITLATCH W IH1 T - L AE2 CH +WHITLATCH(2) HH W IH1 T - L AE2 CH +WHITLEDGE W IH1 T - L EH2 JH +WHITLEDGE(2) HH W IH1 T - L EH2 JH +WHITLEY W IH1 T - L IY0 +WHITLEY(2) HH W IH1 T - L IY0 +WHITLING W IH1 T - L IH0 NG +WHITLING(2) HH W IH1 T - L IH0 NG +WHITLOCK W IH1 T - L AA2 K +WHITLOCK(2) HH W IH1 T - L AA2 K +WHITLOW W IH1 T - L OW2 +WHITLOW(2) HH W IH1 T - L OW2 +WHITLY W IH1 T - L IY0 +WHITLY(2) HH W IH1 T - L IY0 +WHITMAN W IH1 T - M AH0 N +WHITMAN'S W IH1 T - M AH0 N Z +WHITMAN'S(2) HH W IH1 T - M AH0 N Z +WHITMAN(2) HH W IH1 T - M AH0 N +WHITMARSH W IH1 T - M AA2 R SH +WHITMARSH(2) HH W IH1 T - M AA2 R SH +WHITMER W IH1 T - M ER0 +WHITMER(2) HH W IH1 T - M ER0 +WHITMILL W IH1 T - M IH2 L +WHITMILL(2) HH W IH1 T - M IH2 L +WHITMIRE W IH1 T - M AY2 R +WHITMIRE(2) HH W IH1 T - M AY2 R +WHITMORE W IH1 T - M AO0 R +WHITMORE(2) HH W IH1 T - M AO0 R +WHITMOYER W IH1 T - M OY2 - ER0 +WHITMOYER(2) HH W IH1 T - M OY2 - ER0 +WHITMYER W IH1 T - M AY2 - ER0 +WHITMYER(2) HH W IH1 T - M AY2 - ER0 +WHITNER W IH1 T - N ER0 +WHITNER(2) HH W IH1 T - N ER0 +WHITNEY W IH1 T - N IY0 +WHITNEY'S W IH1 T - N IY0 Z +WHITNEY'S(2) HH W IH1 T - N IY0 Z +WHITNEY(2) HH W IH1 T - N IY0 +WHITON W IH1 - T AH0 N +WHITON(2) HH W IH1 - T AH0 N +WHITROW W IH1 - T R OW2 +WHITROW(2) HH W IH1 - T R OW2 +WHITSEL W IH1 T - S AH0 L +WHITSEL(2) HH W IH1 T - S AH0 L +WHITSELL W IH1 T - S AH0 L +WHITSELL(2) HH W IH1 T - S AH0 L +WHITSETT W IH1 T - S IH0 T +WHITSETT(2) HH W IH1 T - S IH0 T +WHITSITT W IH1 T - S IH0 T +WHITSITT(2) HH W IH1 T - S IH0 T +WHITSON W IH1 T - S AH0 N +WHITSON(2) HH W IH1 T - S AH0 N +WHITT W IH1 T +WHITT(2) HH W IH1 T +WHITTAKER W IH1 - T AH0 - K ER0 +WHITTAKER(2) HH W IH1 - T AH0 - K ER0 +WHITTED W IH1 - T IH0 D +WHITTED(2) HH W IH1 - T IH0 D +WHITTEMORE W IH1 T - M AO0 R +WHITTEMORE(2) HH W IH1 T - M AO0 R +WHITTEN W IH1 - T AH0 N +WHITTEN(2) HH W IH1 - T AH0 N +WHITTENBERG W IH1 - T AH0 N - B ER0 G +WHITTENBERG(2) HH W IH1 - T AH0 N - B ER0 G +WHITTENBURG W IH1 - T AH0 N - B ER0 G +WHITTENBURG(2) HH W IH1 - T AH0 N - B ER0 G +WHITTET W IH1 - T IH0 T +WHITTET(2) HH W IH1 - T IH0 T +WHITTIER W IH1 - T IY0 - ER0 +WHITTIER(2) HH W IH1 - T IY0 - ER0 +WHITTING W IH1 - T IH0 NG +WHITTING(2) HH W IH1 - T IH0 NG +WHITTINGHAM W IH1 - T IH0 NG - HH AE2 M +WHITTINGHAM(2) HH W IH1 - T IH0 NG - HH AE2 M +WHITTINGHILL W IH1 - T IH0 NG - HH IH2 L +WHITTINGHILL(2) HH W IH1 - T IH0 NG - HH IH2 L +WHITTINGTON W IH1 - T IH0 NG - T AH0 N +WHITTINGTON(2) HH W IH1 - T IH0 NG - T AH0 N +WHITTLE W IH1 - T AH0 L +WHITTLE'S W IH1 - T AH0 L Z +WHITTLE'S(2) HH W IH1 - T AH0 L Z +WHITTLE(2) HH W IH1 - T AH0 L +WHITTLED W IH1 - T AH0 L D +WHITTLED(2) HH W IH1 - T AH0 L D +WHITTLESEY W IH1 - T AH0 L - S IY0 +WHITTLESEY(2) HH W IH1 - T AH0 L - S IY0 +WHITTLING W IH1 T - L IH0 NG +WHITTLING(2) HH W IH1 T - L IH0 NG +WHITTON W IH1 - T AH0 N +WHITTON(2) HH W IH1 - T AH0 N +WHITTY W IH1 - T IY0 +WHITTY(2) HH W IH1 - T IY0 +WHITWAM W IH1 T - W AA0 M +WHITWAM(2) HH W IH1 T - W AA0 M +WHITWELL W IH1 T - W EH2 L +WHITWELL(2) HH W IH1 T - W EH2 L +WHITWORTH W IH1 T - W ER2 TH +WHITWORTH(2) HH W IH1 T - W ER2 TH +WHIZ W IH1 Z +WHIZ(2) HH W IH1 Z +WHIZZED W IH1 Z D +WHIZZED(2) HH W IH1 Z D +WHIZZER HH W IH1 - Z ER0 +WHIZZER W IH1 - Z ER0 +WHIZZES W IH1 - Z IH0 Z +WHIZZES(2) HH W IH1 - Z IH0 Z +WHIZZING W IH1 - Z IH0 NG +WHIZZING(2) HH W IH1 - Z IH0 NG +WHO HH UW1 +WHO'D HH UW1 D +WHO'LL HH UW1 L +WHO'RE HH UW1 - ER0 +WHO'S HH UW1 Z +WHO'VE HH UW0 V +WHOA W OW1 +WHOA(2) HH W OW1 +WHOA(3) HH OW1 +WHOBREY W AA1 - B R IY0 +WHODUNIT HH UW0 - D AH1 - N IH0 T +WHODUNITS HH UW0 - D AH1 - N IH0 T S +WHOEVER HH UW0 - EH1 - V ER0 +WHOEVER'S HH UW0 - EH1 - V ER0 Z +WHOLE HH OW1 L +WHOLEHEARTED HH OW1 L - HH AA2 R - T IH0 D +WHOLEHEARTEDLY HH OW1 L - HH AA0 R - T IH0 D - L IY0 +WHOLENESS HH OW1 L - N IH0 S +WHOLES HH OW1 L Z +WHOLESALE HH OW1 L - S EY2 L +WHOLESALER HH OW1 L - S EY2 - L ER0 +WHOLESALER'S HH OW1 L - S EY2 - L ER0 Z +WHOLESALERS HH OW1 L - S EY2 - L ER0 Z +WHOLESALERS' HH OW1 L - S EY2 - L ER0 Z +WHOLESALES HH OW1 L - S EY2 L Z +WHOLESALING HH OW1 L - S EY2 - L IH0 NG +WHOLESOME HH OW1 L - S AH0 M +WHOLESOMENESS HH OW1 L - S AH0 M - N AH0 S +WHOLEY HH AA1 - L IY0 +WHOLLY HH OW1 - L IY0 +WHOM HH UW1 M +WHOMEVER HH UW0 M - EH1 - V ER0 +WHOMSOEVER HH UW2 M - S OW0 - EH1 - V ER0 +WHOOP W UW1 P +WHOOP(2) HH W UW1 P +WHOOPED W UW1 P T +WHOOPED(2) HH W UW1 P T +WHOOPEE W UW1 - P IY1 +WHOOPEE(2) HH W UW1 - P IY1 +WHOOPI W UW1 - P IY0 +WHOOPI(2) HH W UW1 - P IY0 +WHOOPIE W UW1 - P IY0 +WHOOPIE(2) HH W UW1 - P IY0 +WHOOPING W UW1 - P IH0 NG +WHOOPING(2) HH W UW1 - P IH0 NG +WHOOPS W UW1 P S +WHOOPS(2) HH W UW1 P S +WHOOSH W UW1 SH +WHOOSH(2) HH W UW1 SH +WHOPPER W AA1 - P ER0 +WHOPPER(2) HH W AA1 - P ER0 +WHOPPERS W AA1 - P ER0 Z +WHOPPERS(2) HH W AA1 - P ER0 Z +WHOPPING W AA1 - P IH0 NG +WHOPPING(2) HH W AA1 - P IH0 NG +WHORE HH AO1 R +WHOREHOUSE HH AO1 R - HH AW2 S +WHORES HH AO1 R Z +WHORL W ER1 L +WHORL(2) W AO1 R L +WHORL(3) HH W AO1 R L +WHORLEY HH AO1 R - L IY0 +WHORLEY(2) W AO1 R - L IY0 +WHORLEY(3) HH W AO1 R - L IY0 +WHORLS W ER1 L Z +WHORLS(2) W AO1 R L Z +WHORLS(3) HH W AO1 R L Z +WHORTON HH AO1 R - T AH0 N +WHOSE HH UW1 Z +WHOSOEVER HH UW2 - S OW0 - EH1 - V ER0 +WHY W AY1 +WHY'D W AY1 D +WHY'D(2) HH W AY1 D +WHY'S W AY1 Z +WHY'S(2) HH W AY1 Z +WHY(2) HH W AY1 +WHYS W AY1 Z +WHYS(2) HH W AY1 Z +WHYTE W AY1 T +WHYTE(2) HH W AY1 T +WIACEK V AY1 - AH0 - CH EH0 K +WIAN W AY1 - AH0 N +WIANT W AY1 - AH0 N T +WIARD W AY1 - AA0 R D +WIATER W AY1 - AH0 - T ER0 +WIATROWSKI V IY0 - AH0 - T R AO1 F S - K IY0 +WIATT W AY1 - AH0 T +WIBBELSMAN W IH1 - B AH0 L Z - M AH0 N +WIBBENMEYER W IH1 - B IH0 N - M AY0 - ER0 +WIBERG W AY1 - B ER0 G +WIBLE W AY1 - B AH0 L +WICAT W IH1 - K AE0 T +WICCA W IH1 - K AH0 +WICCAN W IH1 - K AH0 N +WICE W AY1 S +WICH W IH1 CH +WICHERN W IH1 - K ER0 N +WICHERT W IH1 - CH ER0 T +WICHITA W IH1 - CH AH0 - T AO2 +WICHITA'S W IH1 - CH AH0 - T AO2 Z +WICHMAN W IH1 CH - M AH0 N +WICHMANN W IH1 CH - M AH0 N +WICK W IH1 K +WICKARD W IH1 - K ER0 D +WICKE W IH1 K +WICKED W IH1 - K AH0 D +WICKEDLY W IH1 - K IH0 D - L IY0 +WICKEDNESS W IH1 - K AH0 D - N AH0 S +WICKENS W IH1 - K AH0 N Z +WICKER W IH1 - K ER0 +WICKERHAM W IH1 - K ER0 - HH AE2 M +WICKERSHAM W IH1 - K ER0 - SH AE2 M +WICKERT W IH1 - K ER0 T +WICKES W IH1 K S +WICKES'S W IH1 K - S IH0 Z +WICKET W IH1 - K AH0 T +WICKET(2) HH W IH1 - K AH0 T +WICKETS W IH1 - K AH0 T S +WICKETS(2) HH W IH1 - K AH0 T S +WICKETT W IH1 - K IH0 T +WICKEY W IH1 - K IY0 +WICKHAM W IH1 - K AH0 M +WICKIZER W IH1 - K AY2 - Z ER0 +WICKLAND W IH1 K - L AH0 N D +WICKLANDER W IH1 K - L AE2 N - D ER0 +WICKLEY W IH1 K - L IY0 +WICKLIFF W IH1 K - L IH0 F +WICKLIFFE W IH1 K - L IH0 F +WICKLINE W IH1 - K L AY2 N +WICKLUND W IH1 K - L AH0 N D +WICKMAN W IH1 K - M AH0 N +WICKS W IH1 K S +WICKSTROM W IH1 K - S T R AH0 M +WICKWARE W IH1 - K W EH2 R +WICKWIRE V IH1 S K - V AY0 R +WICOR W AY1 - K AO2 R +WIDDER W IH1 - D ER0 +WIDDLE W IH1 - D AH0 L +WIDDLED W IH1 - D AH0 L D +WIDDOWS W IH1 - D OW2 Z +WIDDOWSON W IH1 - D AW0 - S AH0 N +WIDE W AY1 D +WIDE'S W AY1 D Z +WIDEBODY W AY1 D - B AA2 - D IY0 +WIDELL W IH1 - D AH0 L +WIDELY W AY1 D - L IY0 +WIDEMAN W AY1 D - M AH0 N +WIDEN W AY1 - D AH0 N +WIDENED W AY1 - D AH0 N D +WIDENER W IH1 - D IY0 - N ER0 +WIDENING W AY1 - D AH0 N - IH0 NG +WIDENS W AY1 - D AH0 N Z +WIDER W AY1 - D ER0 +WIDESPREAD W AY1 D - S P R EH1 D +WIDEST W AY1 - D AH0 S T +WIDGER W IH1 - JH ER0 +WIDGET W IH1 - JH IH0 T +WIDGETS W IH1 - JH IH0 T S +WIDHALM W IH1 D - HH AA0 M +WIDICK W IH1 - D IH0 K +WIDING W AY1 - D IH0 NG +WIDMAIER W IH1 D - M AY0 - ER0 +WIDMAN W IH1 D - M AH0 N +WIDMANN W IH1 D - M AH0 N +WIDMAR W IH1 D - M ER0 +WIDMAYER W IH1 D - M EY2 - ER0 +WIDMER W IH1 D - M ER0 +WIDNER W IH1 D - N ER0 +WIDOW W IH1 - D OW0 +WIDOW'S W IH1 - D OW0 Z +WIDOWED W IH1 - D OW0 D +WIDOWER W IH1 - D OW0 - ER0 +WIDOWERS W IH1 - D OW0 - ER0 Z +WIDOWS W IH1 - D OW0 Z +WIDRICK W IH1 - D R IH0 K +WIDRIG W IH1 D - R IH0 G +WIDTH W IH1 D TH +WIDTHS W IH1 D TH S +WIDURI W IH0 - D UH1 - R IY0 +WIEAND W IY1 - AH0 N D +WIEBE W IY1 B +WIEBER W IY1 - B ER0 +WIEBERG W IY1 - B ER0 G +WIEBKE W IY1 B - K IY0 +WIEBOLD W IY1 - B OW2 L D +WIEBUSCH W IY1 - B AH0 SH +WIECH W IY1 CH +WIECHERT W IY1 - K ER0 T +WIECHMAN W IY1 K - M AH0 N +WIECHMANN W IY1 K - M AH0 N +WIECK W IY1 K +WIECZOREK V IY0 - CH AO1 - R EH0 K +WIED W IY1 D +WIEDEL W IY1 - D AH0 L +WIEDEMAN W IY1 D - M AH0 N +WIEDEMANN W IY1 D - M AH0 N +WIEDEN W IY1 - 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T ER0 Z +WILDCATTING W AY1 L D - K AE2 - T IH0 NG +WILDE W AY1 L D +WILDEMAN W AY1 L D - M AH0 N +WILDEN W AY1 L - D AH0 N +WILDER W AY1 L - D ER0 +WILDER'S W AY1 L - D ER0 Z +WILDERMAN W AY1 L - D ER0 - M AH0 N +WILDERMUTH W AY1 L - D ER0 - M UW0 TH +WILDERNESS W IH1 L - D ER0 - N AH0 S +WILDES W AY1 L D Z +WILDEST W AY1 L - D IH0 S T +WILDEY W IH1 L - D IY0 +WILDFIRE W AY1 L D - F AY2 - ER0 +WILDFIRES W AY1 L D - F AY2 - ER0 Z +WILDFLOWER W AY1 L D - F L AW2 - ER0 +WILDFLOWERS W AY1 L D - F L AW2 R Z +WILDING W AY1 L - D IH0 NG +WILDLIFE W AY1 L D - L AY2 F +WILDLY W AY1 L D - L IY0 +WILDMAN W AY1 L D - M AH0 N +WILDMON W AY1 L D - M AH0 N +WILDNESS W AY1 L D - N AH0 S +WILDON W AY1 L - D AH0 N +WILDRICK W AY1 L - D R IH0 K +WILDS W AY1 L D Z +WILDT W IH1 L T +WILDWOOD W AY1 L D - W UH2 D +WILDWOODS W AY1 L D - W UH2 D Z +WILE W AY1 L +WILEEN W IH0 - L IY1 N +WILEMAN W AY1 L - M AH0 N +WILEMON W IH1 - L IH0 - M AA0 N +WILEN W AY1 - L AH0 N +WILENSKY W AH0 - L IH1 N - S K IY0 +WILER W AY1 - 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SH IY2 L D Z +WINDSOR W IH1 N - Z ER0 +WINDSOR'S W IH1 N - Z ER0 Z +WINDSPEED W IH1 N D - S P IY2 D +WINDSTAR W IH1 N D - S T AA2 R +WINDSTAR'S W IH1 N D - S T AA2 R Z +WINDSTORM W IH1 N D - S T AO2 R M +WINDSWEPT W IH1 N - S W EH2 P T +WINDT W IH1 N T +WINDUP W AY1 N - D AH2 P +WINDWARD W IH1 N D - W ER0 D +WINDY W IH1 N - D IY0 +WINDY(2) W AY1 N - D IY0 +WINE W AY1 N +WINE'S W AY1 N Z +WINEBARGER W IH1 - N IH0 - B AA0 R - G ER0 +WINEBERG W AY1 N - B ER0 G +WINEBRENNER W IH1 - N IH0 - B R IH0 - N ER0 +WINECOFF W IH1 - N IH0 K - AO0 F +WINED W AY1 N D +WINEGAR W IH1 - N IH0 - G ER0 +WINEGARDEN W AY1 N - G AA2 R - D AH0 N +WINEGARDNER W IH1 - N IH0 - G AA0 R D - N ER0 +WINEHEIM W AY1 N - HH AY2 M +WINEINGER W AY1 - N IH0 - NG ER0 +WINELAND W AY1 N - L AH0 N D +WINELAND W IH1 - N IH0 - L AH0 N D +WINEMA W IH1 - N IH0 - M AH0 +WINEMAN W AY1 N - M AH0 N +WINEMILLER W AY1 N - M IH2 - L ER0 +WINER W AY1 - N ER0 +WINERIES W AY1 - N ER0 - IY0 Z +WINERY W AY1 - N ER0 - IY0 +WINERY'S W AY1 - N ER0 - IY0 Z +WINES W AY1 N Z +WINEY W AY1 - N IY0 +WINFIELD W IH1 N - F IY2 L D +WINFORD W IH1 N - F ER0 D +WINFRED W IH1 N - F R IH0 D +WINFREE W IH1 N - F R IY2 +WINFREY W IH1 N - F R IY0 +WINFRID W IH1 N - F R IH0 D +WING W IH1 NG +WING'S W IH1 NG Z +WINGARD W IH1 NG - G ER0 D +WINGATE W IH1 N - G EY2 T +WINGBACK W IH1 NG - B AE2 K +WINGE W IH1 N JH +WINGED W IH1 NG D +WINGER W IH1 - NG ER0 +WINGERS W IH1 - NG ER0 Z +WINGERT W IH1 NG - G ER0 T +WINGERTER W IH1 NG - G ER0 - T ER0 +WINGET W IH1 NG - G IH0 T +WINGETT W IH1 NG - G IH0 T +WINGFIELD W IH1 NG - F IY2 L D +WINGING W IH1 - NG IH0 NG +WINGLER W IH1 NG - G AH0 - L ER0 +WINGLER(2) W IH1 NG - G L ER0 +WINGLIKE W IH1 NG - L AY2 K +WINGMAN W IH1 NG - M AH0 N +WINGO W IY1 NG - G OW0 +WINGROVE W IH1 N - G R OW2 V +WINGS W IH1 NG Z +WINGSPAN W IH1 NG - S P AE2 N +WINIARSKI V IH0 - N IY0 - AA1 R S - K IY0 +WINICK W IH1 - N IH0 K +WINIECKI V IH0 - N IY1 T S - K IY0 +WINIFRED W IH1 - N IH0 - F R IH0 D +WINIK W IH1 - N IH0 K +WINING W AY1 - N IH0 NG +WININGER W AY1 - N IH0 - NG ER0 +WININGS W AY1 - N IH0 NG Z +WINK W IH1 NG K +WINKED W IH1 NG K T +WINKEL W IH1 NG - K AH0 L +WINKELMAN W IH1 NG - K AH0 L - M AH0 N +WINKELMANN W IH1 NG - K AH0 L - M AH0 N +WINKELS W IH1 NG - K AH0 L Z +WINKER W IH1 NG - K ER0 +WINKFIELD W IH1 NG K - F IY2 L D +WINKING W IH1 NG - K IH0 NG +WINKLE W IH1 NG - K AH0 L +WINKLEMAN W IH1 NG - K AH0 L - M AH0 N +WINKLER W IH1 NG - K L ER0 +WINKLES W IH1 NG - K AH0 L Z +WINKLEY W IH1 NG - K L IY0 +WINKOWSKI V IH0 NG - K AO1 F S - K IY0 +WINKS W IH1 NG K S +WINLAND W IH1 N - L AH0 N D +WINN W IH1 N +WINNABLE W IH1 - N AH0 - B AH0 L +WINNE W IH1 N +WINNEBAGO W IH2 - N AH0 - B EY1 - G OW0 +WINNEBAGO'S W IH2 - N AH0 - B EY1 - G OW0 Z +WINNER W IH1 - N ER0 +WINNER'S W IH1 - N ER0 Z +WINNERS W IH1 - N ER0 Z +WINNERS' W IH1 - N ER0 Z +WINNETKA W IH0 - N EH1 T - K AH0 +WINNETT W IH1 - N IH0 T +WINNEY W IH1 - N IY0 +WINNICK W IH1 - N IH0 K +WINNICKI V IH0 - N IH1 T S - K IY0 +WINNIE W IH1 - N IY0 +WINNING W IH1 - N IH0 NG +WINNINGEST W IH1 - 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T ER0 - HH AO2 L - T ER0 +WINTERIZE W IH1 N - T ER0 - AY2 Z +WINTERIZED W IH1 N - T ER0 - AY2 Z D +WINTERMUTE W IH1 N - T ER0 - M Y UW2 T +WINTERROWD W IH1 N - T ER0 - AW0 D +WINTERS W IH1 N - T ER0 Z +WINTERSHALL W IH1 N - T ER0 - SH AE2 L +WINTERSTEEN W IH1 N - T ER0 - S T IY2 N +WINTERSTEIN W IH1 N - T ER0 - S T AY2 N +WINTERSTEIN(2) W IH1 N - T ER0 - S T IY2 N +WINTERTHUR W IH1 N - T ER0 - TH ER0 +WINTERTIME W IH1 N - T ER0 - T AY2 M +WINTERTON W IH1 N - T ER0 - T AH0 N +WINTHER W IH1 N - TH ER0 +WINTHROP W IH1 N - TH R AH0 P +WINTHROP'S W IH1 N - TH R AH0 P S +WINTLE W IH1 N - T AH0 L +WINTOM W IH1 N - T AH0 M +WINTON W IH1 N - T AH0 N +WINTOUR W IH1 N - T UH2 R +WINTRY W IH1 N - T R IY0 +WINTZ W IH1 N T S +WINTZER W IH1 N T - S ER0 +WINWARD W IH1 N - W ER0 D +WINWOOD W IH1 N - W UH2 D +WINWOOD'S W IH1 N - W UH2 D Z +WINWORD W IH1 N - W ER0 D +WINZELER W IH1 N - Z AH0 L - ER0 +WINZER W IH1 N - Z ER0 +WION W AY1 - AH0 N +WIPE W AY1 P +WIPED W AY1 P T +WIPEOUT W AY1 P - AW2 T +WIPER W AY1 - 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M AH0 N +WISMER W IH1 - Z AH0 - M ER0 +WISNER W IH1 S - N ER0 +WISNESKI V IH0 S - N EH1 S - K IY0 +WISNEWSKI V IH0 S - N EH1 F S - K IY0 +WISNIESKI V IH0 S - N IY1 S - K IY0 +WISNIEWSKI W IH0 Z - N IY0 - EH1 F S - K IY0 +WISOR W AY1 - Z ER0 +WISP W IH1 S P +WISPY W IH1 - S P IY0 +WISS W IH1 S +WISSA W IH1 - S AH0 +WISSEL W IH1 - S AH0 L +WISSER W IH1 - S ER0 +WISSING W IH1 - S IH0 NG +WISSINGER W IH1 - S IH0 - NG ER0 +WISSINK W IH1 - S IH0 NG K +WISSLER W IH1 S - L ER0 +WISSMAN W IH1 S - M AH0 N +WISSMANN W IH1 S - M AH0 N +WISSNER W IH1 S - N ER0 +WIST W IH1 S T +WISTFUL W IH1 S T - F AH0 L +WISTFULLY W IH1 S T - F AH0 - L IY0 +WISTFULNESS W IH1 S T - F AH0 L - N AH0 S +WISWELL W IH1 - S W EH0 L +WISZ V IH1 SH +WIT W IH1 T +WIT'S W IH1 T S +WITBECK W IH1 T - B EH2 K +WITBROCK W IH1 T - B R AO2 K +WITCH W IH1 CH +WITCH'S W IH1 - CH IH0 Z +WITCHCRAFT W IH1 CH - K R AE2 F T +WITCHER W IH1 - CH ER0 +WITCHES W IH1 - CH AH0 Z +WITCHES(2) W IH1 - CH IH0 Z +WITCHEY W IH1 - CH IY0 +WITCHHUNT W IH1 CH - HH AH2 N T +WITCHING W IH1 - CH IH0 NG +WITCHY W IH1 - CH IY0 +WITCO W IH1 T - K OW0 +WITCZAK V IH1 T - CH AE0 K +WITEK V IH1 - T EH0 K +WITH W IH1 DH +WITH(2) W IH1 TH +WITH(3) W IH0 TH +WITH(4) W IH0 DH +WITHAM W IH1 - TH AH0 M +WITHDRAW W IH0 DH - D R AO1 +WITHDRAW(2) W IH0 TH - D R AO1 +WITHDRAWAL W IH0 DH - D R AO1 - AH0 L +WITHDRAWAL(2) W IH0 TH - D R AO1 - AH0 L +WITHDRAWALS W IH0 TH - D R AO1 - AH0 L Z +WITHDRAWALS(2) W IH0 DH - D R AO1 - AH0 L Z +WITHDRAWING W IH0 TH - D R AO1 - IH0 NG +WITHDRAWING(2) W IH0 DH - D R AO1 - IH0 NG +WITHDRAWN W IH0 TH - D R AO1 N +WITHDRAWN(2) W IH0 DH - D R AO1 N +WITHDRAWS W IH0 DH - D R AO1 Z +WITHDRAWS(2) W IH0 TH - D R AO1 Z +WITHDREW W IH0 TH - D R UW1 +WITHDREW(2) W IH0 DH - D R UW1 +WITHEE W IH1 - TH IY1 +WITHEM W IH1 - TH IH0 M +WITHER W IH1 - DH ER0 +WITHERED W IH1 - DH ER0 D +WITHERELL W IH1 - TH ER0 - AH0 L +WITHERING W IH1 - DH ER0 - IH0 NG +WITHERINGTON W IH1 - TH ER0 - IH0 NG - T AH0 N +WITHEROW W IH1 - TH ER0 - OW0 +WITHERS W IH1 - DH ER0 Z +WITHERSPOON W IH1 - DH ER0 - S P UW2 N +WITHEY W IH1 - TH IY0 +WITHHELD W IH0 TH - HH EH1 L D +WITHHOLD W IH0 TH - HH OW1 L D +WITHHOLDING W IH0 TH - HH OW1 L - D IH0 NG +WITHHOLDS W IH1 TH - HH OW2 L D Z +WITHIN W IH0 - DH IH1 N +WITHIN(2) W IH0 - TH IH1 N +WITHINGTON W IH1 - TH IH0 NG - T AH0 N +WITHNAIL W IH0 TH - N EY1 L +WITHOUT W IH0 - TH AW1 T +WITHOUT(2) W IH0 DH - AW1 T +WITHROW W IH1 - TH R OW2 +WITHSTAND W IH0 TH - S T AE1 N D +WITHSTANDING W IH0 TH - S T AE1 N - D IH0 NG +WITHSTANDS W IH0 TH - S T AE1 N D Z +WITHSTOOD W IH0 TH - S T UH1 D +WITKIN W IH1 T - K IH2 N +WITKOP W IH1 T K - AH0 P +WITKOWSKI V IH0 T - K AO1 F S - K IY0 +WITLESS W IH1 T - L AH0 S +WITMAN W IH1 T - M AH0 N +WITMER W IH1 T - M ER0 +WITNESS W IH1 T - N AH0 S +WITNESS' W IH1 T - N AH0 S +WITNESS'S W IH1 T - N AH0 - S IH0 Z +WITNESSED W IH1 T - N AH0 S T +WITNESSES W IH1 T - N AH0 - S AH0 Z +WITNESSES' W IH1 T - N AH0 - S IH0 Z +WITNESSES(2) W IH1 T - N AH0 - S IH0 Z +WITNESSING W IH1 T - N AH0 - 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EH1 K S +X.'S EH1 K - S IH0 Z +X.(2) AE1 K S +X.ERS EH1 K - S ER0 Z +X.S EH1 K - S IH0 Z +XANAX Z AE1 - N AE0 K S +XANTHE Z AE1 N DH +XANTIPPE Z AE1 N - T IH0 P +XAVER Z EY1 - V ER0 +XAVIER Z EY1 - V Y ER0 +XAVIERA IH0 G - Z EY0 - V Y EH1 - R AH0 +XEBEC Z EH1 - B AH0 K +XENA Z IY1 - N AH0 +XENE Z IY1 N +XENIA Z IY1 - N IY0 - AH0 +XENON Z IY1 - N AA0 N +XENOPHOBIA Z EH2 - N AH0 - F OW1 - B IY0 - AH0 +XENOPHOBIC Z EH2 - N AH0 - F AA1 - B IH0 K +XENOPHON Z EH1 - N AH0 - F AH0 N +XENOS Z IY1 - N OW0 Z +XERISCAPE Z EH1 - R IH0 - S K EY2 P +XEROX Z IH1 - R AA0 K S +XEROX'S Z IH1 - R AA0 K - S IH0 Z +XEROXED Z IH1 - R AA0 K S T +XEROXES Z IH1 - R AA0 K - S IH0 Z +XEROXING Z IH1 - R AA0 K - S IH0 NG +XERS EH1 K - S EH0 R Z +XERS(2) K S EH1 R Z +XERS(3) EH1 K - S IY1 - AA1 - R EH0 S +XERXES Z ER1 K - S IY0 Z +XI SH IY1 +XIAMEN Z IY0 - EY1 - M AH0 N +XIAN Z Y AA1 N +XIAO ZH AW1 +XIAOGANG ZH AW1 - G AE1 NG +XIAOPING ZH AW1 - P IH1 NG +XIAOPING'S ZH AW1 - P IH1 NG Z +XIAOYUN SH AW1 - Y UW1 N +XICOR Z AY1 - K AO2 R +XIDEX Z IH1 - D AH0 K S +XIE Z IY1 +XILINX Z AY1 - L IH2 NG K S +XING SH IH1 NG +XINHUA Z IH1 N - HH Y UW0 - AH0 +XINJIANG Z IH1 N - JH IY0 - AE1 NG +XIONG ZH AO1 NG +XOMA Z OW1 - M AH0 +XOMA'S Z OW1 - M AH0 Z +XOMA'S(2) IH0 G - Z OW1 - M AH0 Z +XOMA'S(3) EH0 K - S OW1 - M AH0 Z +XOMA(2) IH0 G - Z OW1 - M AH0 +XOMA(3) EH0 K - S OW1 - M AH0 +XSCRIBE EH0 K - S K R AY1 B +XTRA EH1 K - S T R AH0 +XU Z UW1 +XUAN ZH W AA1 N +XUDONG Z UW1 - D AO1 NG +XUDONG(2) ZH W EY1 - D AO1 NG +XUE Z UW1 +XUEDONG Z UW0 - D AO1 NG +XUEMEI Z UW1 - M AY1 +XUS Z AH1 S +XYLIA Z AY1 - L IY0 - AH0 +XYLINA Z AY1 - L IH0 - N AH0 +XYLOGIC Z AY2 - L AA1 - JH IH0 K +XYLOGICS Z AY2 - L AA1 - JH IH0 K S +XYLON Z AY1 - L AH0 N +XYLONA Z AY1 - L AH0 - N AH0 +XYLOPHONE Z AY1 - L AH0 - F OW2 N +XYVISION Z AY1 - V IH1 - ZH AH0 N +Y W AY1 +Y'ALL Y AO2 L +Y'S W AY1 Z +Y. W AY1 +Y.'S W AY1 Z +YA Y AA1 +YA'LL Y AA1 L +YAACOV Y AA1 - K OW2 V +YABBA Y AE1 - B AH0 +YABLON Y AE1 - B L AH0 N +YABLONSKI Y AH0 - B L AA1 N - S K IY0 +YABLONSKY Y AH0 - B L AA1 N - S K IY0 +YACHT Y AA1 T +YACHTER Y AA1 - T ER0 +YACHTERS Y AA1 - T ER0 Z +YACHTING Y AA1 - T IH0 NG +YACHTING'S Y AA1 - T IH0 NG Z +YACHTS Y AA1 T S +YACHTSMAN Y AA1 T S - M AH0 N +YACK Y AE1 K +YACKEL Y AE1 - K AH0 L +YACKLEY Y AE1 K - L IY0 +YACKO Y AE1 - K OW0 +YACKTMAN Y AE1 K T - M AH0 N +YACONO Y AE1 - K AH0 - N OW0 +YACOS Y AA1 - K OW0 S +YACOUB Y AE1 - K AW0 B +YADEN Y EY1 - D AH0 N +YADON Y AE1 - D AH0 N +YAEGER Y IY1 - JH ER0 +YAFFE Y AE1 F +YAGER Y EY1 - JH ER0 +YAGI Y AA1 - G IY0 +YAGODA Y AH0 - G OW1 - D AH0 +YAH Y AA1 +YAHI Y AA1 - HH IY0 +YAHN Y AE1 N +YAHNKE Y AE1 NG K +YAHOO Y AA1 - HH UW2 +YAHOOS Y AA1 - HH UW2 Z +YAHR Y AA1 R +YAHWEH Y AA1 - W EH2 +YAHYA Y AH1 - Y AH0 +YAK Y AE1 K +YAKE Y EY1 K +YAKEL Y AE1 - K AH0 L +YAKIMA Y AE1 - K IH0 - M AH0 +YAKLIN Y AE1 K - L IH0 N +YAKOV Y AA1 - K AO2 V +YAKOVLEV Y AH0 - K AA1 V - L AH0 V +YAKOVLEV(2) Y AA1 - K AH0 - V L EH0 V +YAKUSA Y AH0 - K UW1 - Z AH0 +YAKUTAKAY Y AH0 - HH UW2 - T AH0 - K EY1 +YALE Y EY1 L +YALE'S Y EY1 L Z +YALIN Y AA1 - L IH1 N +YALTA Y AO1 L - T AH0 +YAM Y AE1 M +YAMADA Y AH0 - M AA1 - D AH0 +YAMAGATA Y AA0 - M AA0 - G AA1 - T AH0 +YAMAGUCHI Y AA2 - M AA0 - G UW1 - CH IY0 +YAMAHA Y AA1 - M AA0 - HH AA2 +YAMAICHI Y AA2 - M AA0 - IY1 - CH IY0 +YAMAICHI'S Y AA2 - M AA0 - IY1 - CH IY0 Z +YAMAMOTO Y AA0 - M AA0 - M OW1 - T OW0 +YAMANAKA Y AA2 - M AA0 - N AA1 - K AH0 +YAMANE Y AA0 - M AA1 - N EY0 +YAMANE(2) Y AH0 - M AA1 - N IY0 +YAMANI Y AA0 - M AA1 - N IY0 +YAMANOUCHI Y AA0 - M AA0 - N UW1 - CH IY0 +YAMASAKI Y AA2 - M AA0 - S AA1 - K IY0 +YAMASHIRO Y AA0 - M AA0 - SH IH1 - R OW0 +YAMASHITA Y AA0 - M AA0 - SH IY1 - T AH0 +YAMATAKE Y AA2 - M AA0 - T AA1 - K EY2 +YAMATO Y AA0 - M AA1 - T OW0 +YAMAUCHI Y AA2 - M AA0 - UW1 - CH IY0 +YAMAUCHI'S Y AA2 - M AA0 - UW1 - CH IY0 Z +YAMAZAKI Y AA2 - M AA0 - Z AA1 - K IY0 +YAMIN Y AE1 - M IH0 N +YAMS Y AE1 M Z +YAN Y AE1 N +YAN-BIN Y AA1 N - B IH1 N +YANBU Y AE1 N - B UW0 +YANCEY Y AE1 N - S IY0 +YANCY Y AE1 N - S IY0 +YANDA Y AE1 N - D AH0 +YANDELL Y AE1 N - D AH0 L +YANDLE Y AE1 N - D AH0 L +YANDOW Y AE1 N - D OW0 +YANES Y EY1 N Z +YANEY Y EY1 - N IY0 +YANEZ Y AE1 - N IH0 Z +YANG Y AE1 NG +YANGSHENG Y AA1 NG - SH EH1 NG +YANGTZE Y AE1 NG K T - S IY1 +YANI Y AA1 - N IY0 +YANICK Y AE1 - N IH0 K +YANIK Y AE1 - N IH0 K +YANIS Y AE1 - N AH0 S +YANISH Y AE1 - N IH0 SH +YANK Y AE1 NG K +YANKASS Y AE1 NG - K AE2 S +YANKE Y AE1 NG K +YANKED Y AE1 NG K T +YANKEE Y AE1 NG - K IY0 +YANKEE'S Y AE1 NG - K IY0 Z +YANKEES Y AE1 NG - K IY0 Z +YANKEES' Y AE1 NG - K IY0 Z +YANKELOVICH Y AE2 NG - K EH1 - L AH0 - V IH0 CH +YANKEY Y AE1 NG - K IY0 +YANKING Y AE1 NG - K IH0 NG +YANKO Y AE1 NG - K OW0 +YANKOVICH Y AE1 NG - K AH0 - V IH0 CH +YANKOWSKI Y AH0 NG - K AO1 F S - K IY0 +YANKS Y AE1 NG K S +YANNI Y AE1 - N IY0 +YANNICK Y AE1 - N IH0 K +YANNONE Y AE1 - N AH0 N +YANNUZZI Y AA0 - N UW1 T - 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Z AH0 L +YECK Y EH1 K +YECKLEY Y EH1 K - L IY0 +YEDDA Y EH1 - D AH0 +YEDINAK Y EH1 - D IH0 - N AE0 K +YEDIYAT Y EH1 - D IH0 - Y AE2 T +YEE Y IY1 +YEGOR Y EY1 - G ER0 +YEH Y EH1 +YEHIYA Y AH0 - HH IY1 - AH0 +YEHLE Y EH1 - HH AH0 L +YEHUDA Y AH0 - HH UW1 - D AH0 +YEHUDI Y EY0 - HH UW1 - D IY0 +YEIRI Y EH1 - R IY0 +YEISER Y IY1 - S ER0 +YEISLEY Y IY1 S - L IY0 +YEKATERINBURG Y EH0 - K AE2 - T ER0 - IY1 N - B AH0 R G +YELDELL Y EH1 L - D AH0 L +YELENA Y EH1 - L IH0 - N AH0 +YELL Y EH1 L +YELLAND Y EH1 - L AH0 N D +YELLE Y EH1 L +YELLED Y EH1 L D +YELLEN Y EH1 - L AH0 N +YELLIN Y EH1 - L IH0 N +YELLIN' Y EH1 - L IH0 N +YELLING Y EH1 - L IH0 NG +YELLOW Y EH1 - L OW0 +YELLOWER Y EH1 - L OW0 - ER0 +YELLOWEST Y EH1 - L OW0 - IH0 S T +YELLOWING Y EH1 - L OW0 - IH0 NG +YELLOWISH Y EH1 - L OW0 - IH0 SH +YELLOWKNIFE Y EH1 - L OW0 - N AY2 F +YELLOWS Y EH1 - L OW0 Z +YELLOWSTONE Y EH1 - L OW0 - S T OW2 N +YELLOWSTONE'S Y EH1 - L OW0 - S T OW2 N Z +YELLS Y EH1 L Z +YELTON Y EH1 L - T AH0 N +YELTSIN Y EH1 L T - S AH0 N +YELTSIN'S Y EH1 L T - S AH0 N Z +YELVERTON Y EH1 L - V ER0 - T AH0 N +YELVINGTON Y EH1 L - V IH0 NG - T AH0 N +YEMEN Y EH1 - M AH0 N +YEMEN'S Y EH1 - M AH0 N Z +YEMENI Y EH1 - M AH0 - N IY0 +YEMENI(2) Y EH0 - M IY1 - N IY0 +YEMENIDJIAN Y EH2 - M AH0 - N IH1 - JH IY0 - AH0 N +YEN Y EH1 N +YEN'S Y EH1 N Z +YENCHING Y EH1 N - CH IH1 NG +YENDER Y EH1 N - D ER0 +YENLU Y EH1 N - L UW0 +YENTL Y EH1 N - T AH0 L +YEO Y IY1 - OW0 +YEOMAN Y OW1 - M AH0 N +YEOMANS Y OW1 - M AH0 N Z +YEOSOCK Y OW0 - S AO1 K +YEP Y EH1 P +YEPEZ Y EH1 - P IH0 Z +YEPSEN Y EH1 P - S EH0 N +YERBY Y ER1 - B IY0 +YERDON Y ER1 - D AH0 N +YERENA Y EH1 - R IH0 - N AH0 +YEREVAN Y EH1 - R AH0 - V AH0 N +YERGER Y ER1 - JH ER0 +YERGIN Y ER1 - G AH0 N +YERIAN Y IY1 - R IY0 - AH0 N +YERKE Y ER1 K +YERKES Y ER1 - K IY0 Z +YERKEY Y ER1 - K IY0 +YERMAN Y ER1 - M AH0 N +YERXA Y ER1 K - S AH0 +YES Y EH1 S +YESES Y EH1 - S IH0 Z +YESHIVA Y IH0 - SH IY1 - V AH0 +YESKE Y EH1 S K +YESSUEY Y EH1 - S UW0 - IY0 +YESTERDAY Y EH1 - S T ER0 - D EY2 +YESTERDAY'S Y EH1 - S T ER0 - D EY2 Z +YESTERDAY'S(2) Y EH1 - S T ER0 - D IY0 Z +YESTERDAY(2) Y EH1 - S T ER0 - D IY0 +YESTERDAYS Y EH1 - S T ER0 - D EY2 Z +YESTERDAYS(2) Y EH1 - S T ER0 - D IY0 Z +YESTERYEAR Y EH1 - S T ER0 - Y IH2 R +YET Y EH1 T +YETMAN Y EH1 T - M AH0 N +YETNIKOFF Y EH1 T - N IH0 K - AO0 F +YETT Y EH1 T +YETTA Y EH1 - T AH0 +YETTER Y EH1 - T ER0 +YEUNG Y UW1 NG +YEUTTER Y UW1 - T ER0 +YEVETTE Y IH0 - V EH1 T +YEVGENY Y EH2 V - G EH1 - N IY0 +YEVLINSKY Y EH0 V - L IH1 N - S K IY0 +YEVLINSKY'S Y EH0 V - L IH1 N - S K IY0 Z +YEVTUSHENKO Y EH2 V - T AH0 - SH EH1 NG - K OW0 +YEW Y UW1 +YEW'S Y UW1 Z +YGLESIAS IY0 - G L EY1 - S IY0 - AH0 S +YI Y IY1 +YIDDISH Y IH1 - D IH0 SH +YIE Y IY1 +YIE(2) Y AY1 +YIELD Y IY1 L D +YIELDED Y IY1 L - D AH0 D +YIELDED(2) Y IY1 L - D IH0 D +YIELDING Y IY1 L - D IH0 NG +YIELDS Y IY1 L D Z +YIGAL Y IH0 - G AE1 L +YIGAL(2) Y IH0 - G AA1 L +YIGAL(3) Y IY0 - G AA1 L +YILIN Y IH1 - L IH0 N +YIM Y IH1 M +YIN Y IH1 N +YING Y IH1 NG +YINGER Y IH1 - NG ER0 +YINGLING Y IH1 NG - G AH0 L - IH0 NG +YINGLING(2) Y IH1 NG - G L IH0 NG +YINGST Y IH1 NG G S T +YINGST(2) Y IH1 NG K S T +YIP Y IH1 P +YIPPEE Y IH2 - P IY1 +YIRNG-AN Y IH1 R - NG AA1 N +YITZHAK Y IH1 T - S AA0 K +YITZHAK(2) Y IH1 T - S AE0 K +YLVISAKER Y IH2 L - V IH0 - S AA1 - K ER0 +YNEZ Y N EH1 Z +YNIGUEZ IY0 - N IY1 - G EH0 Z +YNJIUN Y IH1 N - JH IH0 N +YNJIUN(2) Y IH1 N - JH IY0 - UW2 N +YO Y OW1 +YOAK Y OW1 K +YOAKAM Y OW1 - K AH0 M +YOAKUM Y OW1 - K AH0 M +YOAST Y OW1 S T +YOCAM Y OW1 - K AH0 M +YOCHAM Y AA1 - CH AH0 M +YOCHELSON Y OW1 - K EH0 L - S AH0 N +YOCHELSON(2) Y OW1 - CH EH0 L - S AH0 N +YOCHIM Y AA1 - CH IH0 M +YOCHUM Y AA1 - CH AH0 M +YOCHUM(2) Y AA1 - K AH0 M +YOCKEY Y AA1 - K IY0 +YOCOM Y OW1 - K AH0 M +YOCUM Y OW1 - K AH0 M +YODEL Y OW1 - D AH0 L +YODELING Y OW1 - D AH0 L - IH0 NG +YODELING(2) Y OW1 D - L IH0 NG +YODER Y OW1 - D ER0 +YODICE Y OW1 - D IH0 S +YOE Y OW1 +YOES Y OW1 Z +YOEST Y EH1 S T +YOEST(2) Y AO1 S T +YOFFIE Y AO1 - F IY0 +YOGA Y OW1 - G AH0 +YOGI Y OW1 - G IY0 +YOGIISM Y OW1 - G IH2 - Z AH0 M +YOGIISM(2) Y OW1 - G IH2 - S AH0 M +YOGIISMS Y OW0 - G IY1 - S AH0 M Z +YOGIISMS(2) Y OW1 - G IH2 - Z AH0 M Z +YOGURT Y OW1 - G ER0 T +YOH Y OW1 +YOHE Y OW1 - HH EY2 +YOHEI Y OW1 - HH EY2 +YOHN Y AA1 N +YOHO Y OW1 - HH OW0 +YOICHI Y OW0 - IY1 - CH IY0 +YOKADO Y AH0 - K AA1 - D OW0 +YOKE Y OW1 K +YOKED Y OW1 K T +YOKEL Y OW1 - K EH0 L +YOKELSON Y OW1 - K EH0 L - S AH0 N +YOKES Y OW1 K S +YOKICH Y OW1 - K IH0 CH +YOKLEY Y AA1 K - L IY0 +YOKO Y OW1 - K OW0 +YOKOHAMA Y OW2 - K AH0 - HH AA1 - M AH0 +YOKOKOHJI Y OW2 - K OW0 - K OW1 - JH IY0 +YOKOTA Y OW0 - K OW1 - T AH0 +YOKOYAMA Y OW2 - K OW0 - Y AA1 - M AH0 +YOKUM Y OW1 - K AH0 M +YOLA Y OW1 - L AH0 +YOLANDA Y OW0 - L AA1 N - D AH0 +YOLANDE Y OW1 - L AH0 N D +YOLK Y OW1 K +YOLKS Y OW1 K S +YOM Y AA1 M +YOM'S Y AA1 M Z +YOM'S(2) Y OW1 M Z +YOM(2) Y OW1 M +YOMIURI Y OW2 - M IY1 - ER0 - IY0 +YON Y AA1 N +YONA Y OW1 - N AH0 +YONAN Y OW1 - N AH0 N +YONCE Y AA1 N S +YONDER Y AA1 N - D ER0 +YONEYAMA Y OW2 - 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ER0 - AO1 F S - K IY0 +ZUVER Z UW1 - V ER0 +ZUZANA Z UW2 - Z AA1 - N AH0 +ZVORNIK Z V AO1 R - N IH0 K +ZWACK Z W AO1 K +ZWAHLEN Z W AA1 - L AH0 N +ZWART Z W AO1 R T +ZWEBER Z W IY1 - B ER0 +ZWEIBEL Z W AY1 - B AH0 L +ZWEIFEL Z W AY1 - F AH0 L +ZWEIG Z W AY1 G +ZWERDLING Z W ER1 D - L IH0 NG +ZWERDLING'S Z W ER1 D - L IH0 NG Z +ZWETCHKENBAUM Z W EH1 CH - K AH0 N - B AA0 M +ZWICK Z W IH1 K +ZWICKER Z W IH1 - K ER0 +ZWICKY Z W IH1 - K IY0 +ZWIEBEL Z W IY1 - B AH0 L +ZWIEFELHOFER Z W IY1 - F AH0 L - HH AA2 - F ER0 +ZWIEG Z W IY1 G +ZWILLING Z W IH1 - L IH0 NG +ZWOLINSKI Z V AH0 - L IH1 N - S K IY0 +ZYCAD Z IH1 - K AE2 D +ZYCH Z AY1 CH +ZYCHER Z IH1 - K ER0 +ZYDECO Z AY2 - D EH1 - K OW2 +ZYDECO(2) Z IH1 - D AH0 - K OW2 +ZYDECO(3) Z AY1 - D AH0 - K OW2 +ZYGMUNT Z IH1 G - M AH0 N T +ZYGOTE Z AY1 - G OW0 T +ZYLA Z IH1 - L AH0 +ZYLKA Z IH1 L - K AH0 +ZYLSTRA Z IH1 L - S T R AH0 +ZYMAN Z AY1 - M AH0 N +ZYNDA Z IH1 N - D AH0 +ZYSK Z AY1 S K +ZYSKOWSKI Z IH0 - S K AO1 F S - K IY0 +ZYUGANOV Z Y UW1 - G AA0 - N AA0 V +ZYUGANOV'S Z Y UW1 - G AA0 - N AA0 V Z +ZYUGANOV'S(2) Z Y UW1 - G AA0 - N AA0 F S +ZYUGANOV'S(3) Z UW1 - G AA0 - N AA0 V Z +ZYUGANOV'S(4) Z UW1 - G AA0 - N AA0 F S +ZYUGANOV(2) Z Y UW1 - G AA0 - N AA0 F +ZYUGANOV(3) Z UW1 - G AA0 - N AA0 V +ZYUGANOV(4) Z UW1 - G AA0 - N AA0 F +ZYWICKI Z IH0 - W IH1 - K IY0 +ZZZZ Z IY0 Z +ZZZZ(2) Z Z +{BRACE B R EY1 S +{LEFT-BRACE L EH1 F T - B R EY1 S +}CLOSE-BRACE K L OW1 Z - B R EY1 S +}RIGHT-BRACE R AY1 T - B R EY1 S diff --git a/GPT_SoVITS/text/engdict-hot.rep b/GPT_SoVITS/text/engdict-hot.rep new file mode 100644 index 0000000000000000000000000000000000000000..22d4cd289d983755cb3e44fb3eab413d25b8b522 --- /dev/null +++ b/GPT_SoVITS/text/engdict-hot.rep @@ -0,0 +1 @@ +CHATGPT CH AE1 T JH IY1 P IY1 T IY1 \ No newline at end of file diff --git a/GPT_SoVITS/text/engdict_cache.pickle b/GPT_SoVITS/text/engdict_cache.pickle new file mode 100644 index 0000000000000000000000000000000000000000..337f12deeba794930bec929bad2c47ceff7fb6d7 --- /dev/null +++ b/GPT_SoVITS/text/engdict_cache.pickle @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:36ea4c34f2ca534437a39db0fc4092efa0595093d3587bafc33fc50468ef53f9 +size 6530139 diff --git a/GPT_SoVITS/text/english.py b/GPT_SoVITS/text/english.py new file mode 100644 index 0000000000000000000000000000000000000000..d01f54cfd55618c8aeea687742c4764319572130 --- /dev/null +++ b/GPT_SoVITS/text/english.py @@ -0,0 +1,234 @@ +import pickle +import os +import re +from g2p_en import G2p + +from string import punctuation + +from text.symbols import symbols + +current_file_path = os.path.dirname(__file__) +CMU_DICT_PATH = os.path.join(current_file_path, "cmudict.rep") +CMU_DICT_FAST_PATH = os.path.join(current_file_path, "cmudict-fast.rep") +CMU_DICT_HOT_PATH = os.path.join(current_file_path, "engdict-hot.rep") +CACHE_PATH = os.path.join(current_file_path, "engdict_cache.pickle") +_g2p = G2p() + +arpa = { + "AH0", + "S", + "AH1", + "EY2", + "AE2", + "EH0", + "OW2", + "UH0", + "NG", + "B", + "G", + "AY0", + "M", + "AA0", + "F", + "AO0", + "ER2", + "UH1", + "IY1", + "AH2", + "DH", + "IY0", + "EY1", + "IH0", + "K", + "N", + "W", + "IY2", + "T", + "AA1", + "ER1", + "EH2", + "OY0", + "UH2", + "UW1", + "Z", + "AW2", + "AW1", + "V", + "UW2", + "AA2", + "ER", + "AW0", + "UW0", + "R", + "OW1", + "EH1", + "ZH", + "AE0", + "IH2", + "IH", + "Y", + "JH", + "P", + "AY1", + "EY0", + "OY2", + "TH", + "HH", + "D", + "ER0", + "CH", + "AO1", + "AE1", + "AO2", + "OY1", + "AY2", + "IH1", + "OW0", + "L", + "SH", +} + + +def replace_phs(phs): + rep_map = {";": ",", ":": ",", "'": "-", '"': "-"} + phs_new = [] + for ph in phs: + if ph in symbols: + phs_new.append(ph) + elif ph in rep_map.keys(): + phs_new.append(rep_map[ph]) + else: + print("ph not in symbols: ", ph) + return phs_new + + +def read_dict(): + g2p_dict = {} + start_line = 49 + with open(CMU_DICT_PATH) as f: + line = f.readline() + line_index = 1 + while line: + if line_index >= start_line: + line = line.strip() + word_split = line.split(" ") + word = word_split[0] + + syllable_split = word_split[1].split(" - ") + g2p_dict[word] = [] + for syllable in syllable_split: + phone_split = syllable.split(" ") + g2p_dict[word].append(phone_split) + + line_index = line_index + 1 + line = f.readline() + + return g2p_dict + + +def read_dict_new(): + g2p_dict = {} + with open(CMU_DICT_PATH) as f: + line = f.readline() + line_index = 1 + while line: + if line_index >= 49: + line = line.strip() + word_split = line.split(" ") + word = word_split[0] + + syllable_split = word_split[1].split(" - ") + g2p_dict[word] = [] + for syllable in syllable_split: + phone_split = syllable.split(" ") + g2p_dict[word].append(phone_split) + + line_index = line_index + 1 + line = f.readline() + + with open(CMU_DICT_FAST_PATH) as f: + line = f.readline() + line_index = 1 + while line: + if line_index >= 0: + line = line.strip() + word_split = line.split(" ") + word = word_split[0] + if word not in g2p_dict: + g2p_dict[word] = [] + g2p_dict[word].append(word_split[1:]) + + line_index = line_index + 1 + line = f.readline() + + with open(CMU_DICT_HOT_PATH) as f: + line = f.readline() + line_index = 1 + while line: + if line_index >= 0: + line = line.strip() + word_split = line.split(" ") + word = word_split[0] + if word not in g2p_dict: + g2p_dict[word] = [] + g2p_dict[word].append(word_split[1:]) + + line_index = line_index + 1 + line = f.readline() + + return g2p_dict + + +def cache_dict(g2p_dict, file_path): + with open(file_path, "wb") as pickle_file: + pickle.dump(g2p_dict, pickle_file) + + +def get_dict(): + if os.path.exists(CACHE_PATH): + with open(CACHE_PATH, "rb") as pickle_file: + g2p_dict = pickle.load(pickle_file) + else: + g2p_dict = read_dict_new() + cache_dict(g2p_dict, CACHE_PATH) + + return g2p_dict + + +eng_dict = get_dict() + + +def text_normalize(text): + # todo: eng text normalize + return text.replace(";", ",") + + +def g2p(text): + phones = [] + words = re.split(r"([,;.\-\?\!\s+])", text) + for w in words: + if w.upper() in eng_dict: + phns = eng_dict[w.upper()] + for ph in phns: + phones += ph + else: + phone_list = list(filter(lambda p: p != " ", _g2p(w))) + for ph in phone_list: + if ph in arpa: + phones.append(ph) + else: + phones.append(ph) + + return replace_phs(phones) + + +if __name__ == "__main__": + # print(get_dict()) + print(g2p("hello")) + print(g2p("In this; paper, we propose 1 DSPGAN, a GAN-based universal vocoder.")) + # all_phones = set() + # for k, syllables in eng_dict.items(): + # for group in syllables: + # for ph in group: + # all_phones.add(ph) + # print(all_phones) diff --git a/GPT_SoVITS/text/japanese.py b/GPT_SoVITS/text/japanese.py new file mode 100644 index 0000000000000000000000000000000000000000..a571467c2295c2815dbb0024726d965d59081ac2 --- /dev/null +++ b/GPT_SoVITS/text/japanese.py @@ -0,0 +1,191 @@ +# modified from https://github.com/CjangCjengh/vits/blob/main/text/japanese.py +import re +import sys + +import pyopenjtalk + + +from text import symbols +# Regular expression matching Japanese without punctuation marks: +_japanese_characters = re.compile( + r"[A-Za-z\d\u3005\u3040-\u30ff\u4e00-\u9fff\uff11-\uff19\uff21-\uff3a\uff41-\uff5a\uff66-\uff9d]" +) + +# Regular expression matching non-Japanese characters or punctuation marks: +_japanese_marks = re.compile( + r"[^A-Za-z\d\u3005\u3040-\u30ff\u4e00-\u9fff\uff11-\uff19\uff21-\uff3a\uff41-\uff5a\uff66-\uff9d]" +) + +# List of (symbol, Japanese) pairs for marks: +_symbols_to_japanese = [(re.compile("%s" % x[0]), x[1]) for x in [("％", "パーセント")]] + + +# List of (consonant, sokuon) pairs: +_real_sokuon = [ + (re.compile("%s" % x[0]), x[1]) + for x in [ + (r"Q([↑↓]*[kg])", r"k#\1"), + (r"Q([↑↓]*[tdjʧ])", r"t#\1"), + (r"Q([↑↓]*[sʃ])", r"s\1"), + (r"Q([↑↓]*[pb])", r"p#\1"), + ] +] + +# List of (consonant, hatsuon) pairs: +_real_hatsuon = [ + (re.compile("%s" % x[0]), x[1]) + for x in [ + (r"N([↑↓]*[pbm])", r"m\1"), + (r"N([↑↓]*[ʧʥj])", r"n^\1"), + (r"N([↑↓]*[tdn])", r"n\1"), + (r"N([↑↓]*[kg])", r"ŋ\1"), + ] +] + + +def post_replace_ph(ph): + rep_map = { + "：": ",", + "；": ",", + "，": ",", + "。": ".", + "！": "!", + "？": "?", + "\n": ".", + "·": ",", + "、": ",", + "...": "…", + } + if ph in rep_map.keys(): + ph = rep_map[ph] + if ph in symbols: + return ph + if ph not in symbols: + ph = "UNK" + return ph + + +def symbols_to_japanese(text): + for regex, replacement in _symbols_to_japanese: + text = re.sub(regex, replacement, text) + return text + + +def preprocess_jap(text, with_prosody=False): + """Reference https://r9y9.github.io/ttslearn/latest/notebooks/ch10_Recipe-Tacotron.html""" + text = symbols_to_japanese(text) + sentences = re.split(_japanese_marks, text) + marks = re.findall(_japanese_marks, text) + text = [] + for i, sentence in enumerate(sentences): + if re.match(_japanese_characters, sentence): + if with_prosody: + text += pyopenjtalk_g2p_prosody(sentence)[1:-1] + else: + p = pyopenjtalk.g2p(sentence) + text += p.split(" ") + + if i < len(marks): + if marks[i] == " ":# 防止意外的UNK + continue + text += [marks[i].replace(" ", "")] + return text + + +def text_normalize(text): + # todo: jap text normalize + return text + +# Copied from espnet https://github.com/espnet/espnet/blob/master/espnet2/text/phoneme_tokenizer.py +def pyopenjtalk_g2p_prosody(text, drop_unvoiced_vowels=True): + """Extract phoneme + prosoody symbol sequence from input full-context labels. + + The algorithm is based on `Prosodic features control by symbols as input of + sequence-to-sequence acoustic modeling for neural TTS`_ with some r9y9's tweaks. + + Args: + text (str): Input text. + drop_unvoiced_vowels (bool): whether to drop unvoiced vowels. + + Returns: + List[str]: List of phoneme + prosody symbols. + + Examples: + >>> from espnet2.text.phoneme_tokenizer import pyopenjtalk_g2p_prosody + >>> pyopenjtalk_g2p_prosody("こんにちは。") + ['^', 'k', 'o', '[', 'N', 'n', 'i', 'ch', 'i', 'w', 'a', '$'] + + .. _`Prosodic features control by symbols as input of sequence-to-sequence acoustic + modeling for neural TTS`: https://doi.org/10.1587/transinf.2020EDP7104 + + """ + labels = pyopenjtalk.make_label(pyopenjtalk.run_frontend(text)) + N = len(labels) + + phones = [] + for n in range(N): + lab_curr = labels[n] + + # current phoneme + p3 = re.search(r"\-(.*?)\+", lab_curr).group(1) + # deal unvoiced vowels as normal vowels + if drop_unvoiced_vowels and p3 in "AEIOU": + p3 = p3.lower() + + # deal with sil at the beginning and the end of text + if p3 == "sil": + assert n == 0 or n == N - 1 + if n == 0: + phones.append("^") + elif n == N - 1: + # check question form or not + e3 = _numeric_feature_by_regex(r"!(\d+)_", lab_curr) + if e3 == 0: + phones.append("$") + elif e3 == 1: + phones.append("?") + continue + elif p3 == "pau": + phones.append("_") + continue + else: + phones.append(p3) + + # accent type and position info (forward or backward) + a1 = _numeric_feature_by_regex(r"/A:([0-9\-]+)\+", lab_curr) + a2 = _numeric_feature_by_regex(r"\+(\d+)\+", lab_curr) + a3 = _numeric_feature_by_regex(r"\+(\d+)/", lab_curr) + + # number of mora in accent phrase + f1 = _numeric_feature_by_regex(r"/F:(\d+)_", lab_curr) + + a2_next = _numeric_feature_by_regex(r"\+(\d+)\+", labels[n + 1]) + # accent phrase border + if a3 == 1 and a2_next == 1 and p3 in "aeiouAEIOUNcl": + phones.append("#") + # pitch falling + elif a1 == 0 and a2_next == a2 + 1 and a2 != f1: + phones.append("]") + # pitch rising + elif a2 == 1 and a2_next == 2: + phones.append("[") + + return phones + +# Copied from espnet https://github.com/espnet/espnet/blob/master/espnet2/text/phoneme_tokenizer.py +def _numeric_feature_by_regex(regex, s): + match = re.search(regex, s) + if match is None: + return -50 + return int(match.group(1)) + +def g2p(norm_text, with_prosody=False): + phones = preprocess_jap(norm_text, with_prosody) + phones = [post_replace_ph(i) for i in phones] + # todo: implement tones and word2ph + return phones + + +if __name__ == "__main__": + phones = g2p("こんにちは, hello, AKITOです,よろしくお願いしますね！") + print(phones) \ No newline at end of file diff --git a/GPT_SoVITS/text/opencpop-strict.txt b/GPT_SoVITS/text/opencpop-strict.txt new file mode 100644 index 0000000000000000000000000000000000000000..1bede89a429e34b1a58781ee570fc313b80c0aee --- /dev/null +++ b/GPT_SoVITS/text/opencpop-strict.txt @@ -0,0 +1,429 @@ +a AA a +ai AA ai +an AA an +ang AA ang +ao AA ao +ba b a +bai b ai +ban b an +bang b ang +bao b ao +bei b ei +ben b en +beng b eng +bi b i +bian b ian +biao b iao +bie b ie +bin b in +bing b ing +bo b o +bu b u +ca c a +cai c ai +can c an +cang c ang +cao c ao +ce c e +cei c ei +cen c en +ceng c eng +cha ch a +chai ch ai +chan ch an +chang ch ang +chao ch ao +che ch e +chen ch en +cheng ch eng +chi ch ir +chong ch ong +chou ch ou +chu ch u +chua ch ua +chuai ch uai +chuan ch uan +chuang ch uang +chui ch ui +chun ch un +chuo ch uo +ci c i0 +cong c ong +cou c ou +cu c u +cuan c uan +cui c ui +cun c un +cuo c uo +da d a +dai d ai +dan d an +dang d ang +dao d ao +de d e +dei d ei +den d en +deng d eng +di d i +dia d ia +dian d ian +diao d iao +die d ie +ding d ing +diu d iu +dong d ong +dou d ou +du d u +duan d uan +dui d ui +dun d un +duo d uo +e EE e +ei EE ei +en EE en +eng EE eng +er EE er +fa f a +fan f an +fang f ang +fei f ei +fen f en +feng f eng +fo f o +fou f ou +fu f u +ga g a +gai g ai +gan g an +gang g ang +gao g ao +ge g e +gei g ei +gen g en +geng g eng +gong g ong +gou g ou +gu g u +gua g ua +guai g uai +guan g uan +guang g uang +gui g ui +gun g un +guo g uo +ha h a +hai h ai +han h an +hang h ang +hao h ao +he h e +hei h ei +hen h en +heng h eng +hong h ong +hou h ou +hu h u +hua h ua +huai h uai +huan h uan +huang h uang +hui h ui +hun h un +huo h uo +ji j i +jia j ia +jian j ian +jiang j iang +jiao j iao +jie j ie +jin j in +jing j ing +jiong j iong +jiu j iu +ju j v +jv j v +juan j van +jvan j van +jue j ve +jve j ve +jun j vn +jvn j vn +ka k a +kai k ai +kan k an +kang k ang +kao k ao +ke k e +kei k ei +ken k en +keng k eng +kong k ong +kou k ou +ku k u +kua k ua +kuai k uai +kuan k uan +kuang k uang +kui k ui +kun k un +kuo k uo +la l a +lai l ai +lan l an +lang l ang +lao l ao +le l e +lei l ei +leng l eng +li l i +lia l ia +lian l ian +liang l iang +liao l iao +lie l ie +lin l in +ling l ing +liu l iu +lo l o +long l ong +lou l ou +lu l u +luan l uan +lun l un +luo l uo +lv l v +lve l ve +ma m a +mai m ai +man m an +mang m ang +mao m ao +me m e +mei m ei +men m en +meng m eng +mi m i +mian m ian +miao m iao +mie m ie +min m in +ming m ing +miu m iu +mo m o +mou m ou +mu m u +na n a +nai n ai +nan n an +nang n ang +nao n ao +ne n e +nei n ei +nen n en +neng n eng +ni n i +nian n ian +niang n iang +niao n iao +nie n ie +nin n in +ning n ing +niu n iu +nong n ong +nou n ou +nu n u +nuan n uan +nun n un +nuo n uo +nv n v +nve n ve +o OO o +ou OO ou +pa p a +pai p ai +pan p an +pang p ang +pao p ao +pei p ei +pen p en +peng p eng +pi p i +pian p ian +piao p iao +pie p ie +pin p in +ping p ing +po p o +pou p ou +pu p u +qi q i +qia q ia +qian q ian +qiang q iang +qiao q iao +qie q ie +qin q in +qing q ing +qiong q iong +qiu q iu +qu q v +qv q v +quan q van +qvan q van +que q ve +qve q ve +qun q vn +qvn q vn +ran r an +rang r ang +rao r ao +re r e +ren r en +reng r eng +ri r ir +rong r ong +rou r ou +ru r u +rua r ua +ruan r uan +rui r ui +run r un +ruo r uo +sa s a +sai s ai +san s an +sang s ang +sao s ao +se s e +sen s en +seng s eng +sha sh a +shai sh ai +shan sh an +shang sh ang +shao sh ao +she sh e +shei sh ei +shen sh en +sheng sh eng +shi sh ir +shou sh ou +shu sh u +shua sh ua +shuai sh uai +shuan sh uan +shuang sh uang +shui sh ui +shun sh un +shuo sh uo +si s i0 +song s ong +sou s ou +su s u +suan s uan +sui s ui +sun s un +suo s uo +ta t a +tai t ai +tan t an +tang t ang +tao t ao +te t e +tei t ei +teng t eng +ti t i +tian t ian +tiao t iao +tie t ie +ting t ing +tong t ong +tou t ou +tu t u +tuan t uan +tui t ui +tun t un +tuo t uo +wa w a +wai w ai +wan w an +wang w ang +wei w ei +wen w en +weng w eng +wo w o +wu w u +xi x i +xia x ia +xian x ian +xiang x iang +xiao x iao +xie x ie +xin x in +xing x ing +xiong x iong +xiu x iu +xu x v +xv x v +xuan x van +xvan x van +xue x ve +xve x ve +xun x vn +xvn x vn +ya y a +yan y En +yang y ang +yao y ao +ye y E +yi y i +yin y in +ying y ing +yo y o +yong y ong +you y ou +yu y v +yv y v +yuan y van +yvan y van +yue y ve +yve y ve +yun y vn +yvn y vn +za z a +zai z ai +zan z an +zang z ang +zao z ao +ze z e +zei z ei +zen z en +zeng z eng +zha zh a +zhai zh ai +zhan zh an +zhang zh ang +zhao zh ao +zhe zh e +zhei zh ei +zhen zh en +zheng zh eng +zhi zh ir +zhong zh ong +zhou zh ou +zhu zh u +zhua zh ua +zhuai zh uai +zhuan zh uan +zhuang zh uang +zhui zh ui +zhun zh un +zhuo zh uo +zi z i0 +zong z ong +zou z ou +zu z u +zuan z uan +zui z ui +zun z un +zuo z uo diff --git a/GPT_SoVITS/text/symbols.py b/GPT_SoVITS/text/symbols.py new file mode 100644 index 0000000000000000000000000000000000000000..70499492c3a2fac668847b1317e6e213cb086ece --- /dev/null +++ b/GPT_SoVITS/text/symbols.py @@ -0,0 +1,401 @@ +import os + +# punctuation = ['!', '?', '…', ",", ".","@"]#@是SP停顿 +punctuation = ["!", "?", "…", ",", "."] # @是SP停顿 +punctuation.append("-") +pu_symbols = punctuation + ["SP", "SP2", "SP3", "UNK"] +# pu_symbols = punctuation + ["SP", 'SP2', 'SP3','SP4', "UNK"] +pad = "_" + +c = [ + "AA", + "EE", + "OO", + "b", + "c", + "ch", + "d", + "f", + "g", + "h", + "j", + "k", + "l", + "m", + "n", + "p", + "q", + "r", + "s", + "sh", + "t", + "w", + "x", + "y", + "z", + "zh", +] +v = [ + "E1", + "En1", + "a1", + "ai1", + "an1", + "ang1", + "ao1", + "e1", + "ei1", + "en1", + "eng1", + "er1", + "i1", + "i01", + "ia1", + "ian1", + "iang1", + "iao1", + "ie1", + "in1", + "ing1", + "iong1", + "ir1", + "iu1", + "o1", + "ong1", + "ou1", + "u1", + "ua1", + "uai1", + "uan1", + "uang1", + "ui1", + "un1", + "uo1", + "v1", + "van1", + "ve1", + "vn1", + "E2", + "En2", + "a2", + "ai2", + "an2", + "ang2", + "ao2", + "e2", + "ei2", + "en2", + "eng2", + "er2", + "i2", + "i02", + "ia2", + "ian2", + "iang2", + "iao2", + "ie2", + "in2", + "ing2", + "iong2", + "ir2", + "iu2", + "o2", + "ong2", + "ou2", + "u2", + "ua2", + "uai2", + "uan2", + "uang2", + "ui2", + "un2", + "uo2", + "v2", + "van2", + "ve2", + "vn2", + "E3", + "En3", + "a3", + "ai3", + "an3", + "ang3", + "ao3", + "e3", + "ei3", + "en3", + "eng3", + "er3", + "i3", + "i03", + "ia3", + "ian3", + "iang3", + "iao3", + "ie3", + "in3", + "ing3", + "iong3", + "ir3", + "iu3", + "o3", + "ong3", + "ou3", + "u3", + "ua3", + "uai3", + "uan3", + "uang3", + "ui3", + "un3", + "uo3", + "v3", + "van3", + "ve3", + "vn3", + "E4", + "En4", + "a4", + "ai4", + "an4", + "ang4", + "ao4", + "e4", + "ei4", + "en4", + "eng4", + "er4", + "i4", + "i04", + "ia4", + "ian4", + "iang4", + "iao4", + "ie4", + "in4", + "ing4", + "iong4", + "ir4", + "iu4", + "o4", + "ong4", + "ou4", + "u4", + "ua4", + "uai4", + "uan4", + "uang4", + "ui4", + "un4", + "uo4", + "v4", + "van4", + "ve4", + "vn4", + "E5", + "En5", + "a5", + "ai5", + "an5", + "ang5", + "ao5", + "e5", + "ei5", + "en5", + "eng5", + "er5", + "i5", + "i05", + "ia5", + "ian5", + "iang5", + "iao5", + "ie5", + "in5", + "ing5", + "iong5", + "ir5", + "iu5", + "o5", + "ong5", + "ou5", + "u5", + "ua5", + "uai5", + "uan5", + "uang5", + "ui5", + "un5", + "uo5", + "v5", + "van5", + "ve5", + "vn5", +] + +v_without_tone = [ + "E", + "En", + "a", + "ai", + "an", + "ang", + "ao", + "e", + "ei", + "en", + "eng", + "er", + "i", + "i0", + "ia", + "ian", + "iang", + "iao", + "ie", + "in", + "ing", + "iong", + "ir", + "iu", + "o", + "ong", + "ou", + "u", + "ua", + "uai", + "uan", + "uang", + "ui", + "un", + "uo", + "v", + "van", + "ve", + "vn", +] + +# japanese +ja_symbols = [ + "I", + "N", + "U", + "a", + "b", + "by", + "ch", + "cl", + "d", + "dy", + "e", + "f", + "g", + "gy", + "h", + "hy", + "i", + "j", + "k", + "ky", + "m", + "my", + "n", + "ny", + "o", + "p", + "py", + "r", + "ry", + "s", + "sh", + "t", + "ts", + "u", + "v", + "w", + "y", + "z", + # "[", #上升调型 + # "]", #下降调型 + # "$", #结束符 + # "^", #开始符 +] + +arpa = { + "AH0", + "S", + "AH1", + "EY2", + "AE2", + "EH0", + "OW2", + "UH0", + "NG", + "B", + "G", + "AY0", + "M", + "AA0", + "F", + "AO0", + "ER2", + "UH1", + "IY1", + "AH2", + "DH", + "IY0", + "EY1", + "IH0", + "K", + "N", + "W", + "IY2", + "T", + "AA1", + "ER1", + "EH2", + "OY0", + "UH2", + "UW1", + "Z", + "AW2", + "AW1", + "V", + "UW2", + "AA2", + "ER", + "AW0", + "UW0", + "R", + "OW1", + "EH1", + "ZH", + "AE0", + "IH2", + "IH", + "Y", + "JH", + "P", + "AY1", + "EY0", + "OY2", + "TH", + "HH", + "D", + "ER0", + "CH", + "AO1", + "AE1", + "AO2", + "OY1", + "AY2", + "IH1", + "OW0", + "L", + "SH", +} + +symbols = [pad] + c + v + ja_symbols + pu_symbols + list(arpa) +symbols = sorted(set(symbols)) +if __name__ == "__main__": + print(len(symbols)) diff --git a/GPT_SoVITS/text/tone_sandhi.py b/GPT_SoVITS/text/tone_sandhi.py new file mode 100644 index 0000000000000000000000000000000000000000..9f62abe937b72f25eb97762d705dfc4aa1271c9a --- /dev/null +++ b/GPT_SoVITS/text/tone_sandhi.py @@ -0,0 +1,805 @@ +# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from typing import List +from typing import Tuple + +import jieba_fast as jieba +from pypinyin import lazy_pinyin +from pypinyin import Style + + +class ToneSandhi: + def __init__(self): + self.must_neural_tone_words = { + "麻烦", + "麻利", + "鸳鸯", + "高粱", + "骨头", + "骆驼", + "马虎", + "首饰", + "馒头", + "馄饨", + "风筝", + "难为", + "队伍", + "阔气", + "闺女", + "门道", + "锄头", + "铺盖", + "铃铛", + "铁匠", + "钥匙", + "里脊", + "里头", + "部分", + "那么", + "道士", + "造化", + "迷糊", + "连累", + "这么", + "这个", + "运气", + "过去", + "软和", + "转悠", + "踏实", + "跳蚤", + "跟头", + "趔趄", + "财主", + "豆腐", + "讲究", + "记性", + "记号", + "认识", + "规矩", + "见识", + "裁缝", + "补丁", + "衣裳", + "衣服", + "衙门", + "街坊", + "行李", + "行当", + "蛤蟆", + "蘑菇", + "薄荷", + "葫芦", + "葡萄", + "萝卜", + "荸荠", + "苗条", + "苗头", + "苍蝇", + "芝麻", + "舒服", + "舒坦", + "舌头", + "自在", + "膏药", + "脾气", + "脑袋", + "脊梁", + "能耐", + "胳膊", + "胭脂", + "胡萝", + "胡琴", + "胡同", + "聪明", + "耽误", + "耽搁", + "耷拉", + "耳朵", + "老爷", + "老实", + "老婆", + "老头", + "老太", + "翻腾", + "罗嗦", + "罐头", + "编辑", + "结实", + "红火", + "累赘", + "糨糊", + "糊涂", + "精神", + "粮食", + "簸箕", + "篱笆", + "算计", + "算盘", + "答应", + "笤帚", + "笑语", + "笑话", + "窟窿", + "窝囊", + "窗户", + "稳当", + "稀罕", + "称呼", + "秧歌", + "秀气", + "秀才", + "福气", + "祖宗", + "砚台", + "码头", + "石榴", + "石头", + "石匠", + "知识", + "眼睛", + "眯缝", + "眨巴", + "眉毛", + "相声", + "盘算", + "白净", + "痢疾", + "痛快", + "疟疾", + "疙瘩", + "疏忽", + "畜生", + "生意", + "甘蔗", + "琵琶", + "琢磨", + "琉璃", + "玻璃", + "玫瑰", + "玄乎", + "狐狸", + "状元", + "特务", + "牲口", + "牙碜", + "牌楼", + "爽快", + "爱人", + "热闹", + "烧饼", + "烟筒", + "烂糊", + "点心", + "炊帚", + "灯笼", + "火候", + "漂亮", + "滑溜", + "溜达", + "温和", + "清楚", + "消息", + "浪头", + "活泼", + "比方", + "正经", + "欺负", + "模糊", + "槟榔", + "棺材", + "棒槌", + "棉花", + "核桃", + "栅栏", + "柴火", + "架势", + "枕头", + "枇杷", + "机灵", + "本事", + "木头", + "木匠", + "朋友", + "月饼", + "月亮", + "暖和", + "明白", + "时候", + "新鲜", + "故事", + "收拾", + "收成", + "提防", + "挖苦", + "挑剔", + "指甲", + "指头", + "拾掇", + "拳头", + "拨弄", + "招牌", + "招呼", + "抬举", + "护士", + "折腾", + "扫帚", + "打量", + "打算", + "打点", + "打扮", + "打听", + "打发", + "扎实", + "扁担", + "戒指", + "懒得", + "意识", + "意思", + "情形", + "悟性", + "怪物", + "思量", + "怎么", + "念头", + "念叨", + "快活", + "忙活", + "志气", + "心思", + "得罪", + "张罗", + "弟兄", + "开通", + "应酬", + "庄稼", + "干事", + "帮手", + "帐篷", + "希罕", + "师父", + "师傅", + "巴结", + "巴掌", + "差事", + "工夫", + "岁数", + "屁股", + "尾巴", + "少爷", + "小气", + "小伙", + "将就", + "对头", + "对付", + "寡妇", + "家伙", + "客气", + "实在", + "官司", + "学问", + "学生", + "字号", + "嫁妆", + "媳妇", + "媒人", + "婆家", + "娘家", + "委屈", + "姑娘", + "姐夫", + "妯娌", + "妥当", + "妖精", + "奴才", + "女婿", + "头发", + "太阳", + "大爷", + "大方", + "大意", + "大夫", + "多少", + "多么", + "外甥", + "壮实", + "地道", + "地方", + "在乎", + "困难", + "嘴巴", + "嘱咐", + "嘟囔", + "嘀咕", + "喜欢", + "喇嘛", + "喇叭", + "商量", + "唾沫", + "哑巴", + "哈欠", + "哆嗦", + "咳嗽", + "和尚", + "告诉", + "告示", + "含糊", + "吓唬", + "后头", + "名字", + "名堂", + "合同", + "吆喝", + "叫唤", + "口袋", + "厚道", + "厉害", + "千斤", + "包袱", + "包涵", + "匀称", + "勤快", + "动静", + "动弹", + "功夫", + "力气", + "前头", + "刺猬", + "刺激", + "别扭", + "利落", + "利索", + "利害", + "分析", + "出息", + "凑合", + "凉快", + "冷战", + "冤枉", + "冒失", + "养活", + "关系", + "先生", + "兄弟", + "便宜", + "使唤", + "佩服", + "作坊", + "体面", + "位置", + "似的", + "伙计", + "休息", + "什么", + "人家", + "亲戚", + "亲家", + "交情", + "云彩", + "事情", + "买卖", + "主意", + "丫头", + "丧气", + "两口", + "东西", + "东家", + "世故", + "不由", + "不在", + "下水", + "下巴", + "上头", + "上司", + "丈夫", + "丈人", + "一辈", + "那个", + "菩萨", + "父亲", + "母亲", + "咕噜", + "邋遢", + "费用", + "冤家", + "甜头", + "介绍", + "荒唐", + "大人", + "泥鳅", + "幸福", + "熟悉", + "计划", + "扑腾", + "蜡烛", + "姥爷", + "照顾", + "喉咙", + "吉他", + "弄堂", + "蚂蚱", + "凤凰", + "拖沓", + "寒碜", + "糟蹋", + "倒腾", + "报复", + "逻辑", + "盘缠", + "喽啰", + "牢骚", + "咖喱", + "扫把", + "惦记", + } + self.must_not_neural_tone_words = { + "男子", + "女子", + "分子", + "原子", + "量子", + "莲子", + "石子", + "瓜子", + "电子", + "人人", + "虎虎", + "幺幺", + "干嘛", + "学子", + "哈哈", + "数数", + "袅袅", + "局地", + "以下", + "娃哈哈", + "花花草草", + "留得", + "耕地", + "想想", + "熙熙", + "攘攘", + "卵子", + "死死", + "冉冉", + "恳恳", + "佼佼", + "吵吵", + "打打", + "考考", + "整整", + "莘莘", + "落地", + "算子", + "家家户户", + "青青", + } + self.punc = "：，；。？！“”‘’':,;.?!" + + # the meaning of jieba pos tag: https://blog.csdn.net/weixin_44174352/article/details/113731041 + # e.g. + # word: "家里" + # pos: "s" + # finals: ['ia1', 'i3'] + def _neural_sandhi(self, word: str, pos: str, finals: List[str]) -> List[str]: + # reduplication words for n. and v. e.g. 奶奶, 试试, 旺旺 + for j, item in enumerate(word): + if ( + j - 1 >= 0 + and item == word[j - 1] + and pos[0] in {"n", "v", "a"} + and word not in self.must_not_neural_tone_words + ): + finals[j] = finals[j][:-1] + "5" + ge_idx = word.find("个") + if len(word) >= 1 and word[-1] in "吧呢哈啊呐噻嘛吖嗨呐哦哒额滴哩哟喽啰耶喔诶": + finals[-1] = finals[-1][:-1] + "5" + elif len(word) >= 1 and word[-1] in "的地得": + finals[-1] = finals[-1][:-1] + "5" + # e.g. 走了, 看着, 去过 + elif len(word) == 1 and word in "了着过" and pos in {"ul", "uz", "ug"}: + finals[-1] = finals[-1][:-1] + "5" + elif ( + len(word) > 1 + and word[-1] in "们子" + and pos in {"r", "n"} + and word not in self.must_not_neural_tone_words + ): + finals[-1] = finals[-1][:-1] + "5" + # e.g. 桌上, 地下, 家里 + elif len(word) > 1 and word[-1] in "上下里" and pos in {"s", "l", "f"}: + finals[-1] = finals[-1][:-1] + "5" + # e.g. 上来, 下去 + elif len(word) > 1 and word[-1] in "来去" and word[-2] in "上下进出回过起开": + finals[-1] = finals[-1][:-1] + "5" + # 个做量词 + elif ( + ge_idx >= 1 + and (word[ge_idx - 1].isnumeric() or word[ge_idx - 1] in "几有两半多各整每做是") + ) or word == "个": + finals[ge_idx] = finals[ge_idx][:-1] + "5" + else: + if ( + word in self.must_neural_tone_words + or word[-2:] in self.must_neural_tone_words + ): + finals[-1] = finals[-1][:-1] + "5" + + word_list = self._split_word(word) + finals_list = [finals[: len(word_list[0])], finals[len(word_list[0]) :]] + for i, word in enumerate(word_list): + # conventional neural in Chinese + if ( + word in self.must_neural_tone_words + or word[-2:] in self.must_neural_tone_words + ): + finals_list[i][-1] = finals_list[i][-1][:-1] + "5" + finals = sum(finals_list, []) + return finals + + def _bu_sandhi(self, word: str, finals: List[str]) -> List[str]: + # e.g. 看不懂 + if len(word) == 3 and word[1] == "不": + finals[1] = finals[1][:-1] + "5" + else: + for i, char in enumerate(word): + # "不" before tone4 should be bu2, e.g. 不怕 + if char == "不" and i + 1 < len(word) and finals[i + 1][-1] == "4": + finals[i] = finals[i][:-1] + "2" + return finals + + def _yi_sandhi(self, word: str, finals: List[str]) -> List[str]: + # "一" in number sequences, e.g. 一零零, 二一零 + if word.find("一") != -1 and all( + [item.isnumeric() for item in word if item != "一"] + ): + return finals + # "一" between reduplication words shold be yi5, e.g. 看一看 + elif len(word) == 3 and word[1] == "一" and word[0] == word[-1]: + finals[1] = finals[1][:-1] + "5" + # when "一" is ordinal word, it should be yi1 + elif word.startswith("第一"): + finals[1] = finals[1][:-1] + "1" + else: + for i, char in enumerate(word): + if char == "一" and i + 1 < len(word): + # "一" before tone4 should be yi2, e.g. 一段 + if finals[i + 1][-1] == "4": + finals[i] = finals[i][:-1] + "2" + # "一" before non-tone4 should be yi4, e.g. 一天 + else: + # "一" 后面如果是标点，还读一声 + if word[i + 1] not in self.punc: + finals[i] = finals[i][:-1] + "4" + return finals + + def _split_word(self, word: str) -> List[str]: + word_list = jieba.cut_for_search(word) + word_list = sorted(word_list, key=lambda i: len(i), reverse=False) + first_subword = word_list[0] + first_begin_idx = word.find(first_subword) + if first_begin_idx == 0: + second_subword = word[len(first_subword) :] + new_word_list = [first_subword, second_subword] + else: + second_subword = word[: -len(first_subword)] + new_word_list = [second_subword, first_subword] + return new_word_list + + def _three_sandhi(self, word: str, finals: List[str]) -> List[str]: + if len(word) == 2 and self._all_tone_three(finals): + finals[0] = finals[0][:-1] + "2" + elif len(word) == 3: + word_list = self._split_word(word) + if self._all_tone_three(finals): + # disyllabic + monosyllabic, e.g. 蒙古/包 + if len(word_list[0]) == 2: + finals[0] = finals[0][:-1] + "2" + finals[1] = finals[1][:-1] + "2" + # monosyllabic + disyllabic, e.g. 纸/老虎 + elif len(word_list[0]) == 1: + finals[1] = finals[1][:-1] + "2" + else: + finals_list = [finals[: len(word_list[0])], finals[len(word_list[0]) :]] + if len(finals_list) == 2: + for i, sub in enumerate(finals_list): + # e.g. 所有/人 + if self._all_tone_three(sub) and len(sub) == 2: + finals_list[i][0] = finals_list[i][0][:-1] + "2" + # e.g. 好/喜欢 + elif ( + i == 1 + and not self._all_tone_three(sub) + and finals_list[i][0][-1] == "3" + and finals_list[0][-1][-1] == "3" + ): + finals_list[0][-1] = finals_list[0][-1][:-1] + "2" + finals = sum(finals_list, []) + # split idiom into two words who's length is 2 + elif len(word) == 4: + finals_list = [finals[:2], finals[2:]] + finals = [] + for sub in finals_list: + if self._all_tone_three(sub): + sub[0] = sub[0][:-1] + "2" + finals += sub + + return finals + + def _all_tone_three(self, finals: List[str]) -> bool: + return all(x[-1] == "3" for x in finals) + + # merge "不" and the word behind it + # if don't merge, "不" sometimes appears alone according to jieba, which may occur sandhi error + def _merge_bu(self, seg: List[Tuple[str, str]]) -> List[Tuple[str, str]]: + new_seg = [] + last_word = "" + for word, pos in seg: + if last_word == "不": + word = last_word + word + if word != "不": + new_seg.append((word, pos)) + last_word = word[:] + if last_word == "不": + new_seg.append((last_word, "d")) + last_word = "" + return new_seg + + # function 1: merge "一" and reduplication words in it's left and right, e.g. "听","一","听" ->"听一听" + # function 2: merge single "一" and the word behind it + # if don't merge, "一" sometimes appears alone according to jieba, which may occur sandhi error + # e.g. + # input seg: [('听', 'v'), ('一', 'm'), ('听', 'v')] + # output seg: [['听一听', 'v']] + def _merge_yi(self, seg: List[Tuple[str, str]]) -> List[Tuple[str, str]]: + new_seg = [] + # function 1 + for i, (word, pos) in enumerate(seg): + if ( + i - 1 >= 0 + and word == "一" + and i + 1 < len(seg) + and seg[i - 1][0] == seg[i + 1][0] + and seg[i - 1][1] == "v" + ): + new_seg[i - 1][0] = new_seg[i - 1][0] + "一" + new_seg[i - 1][0] + else: + if ( + i - 2 >= 0 + and seg[i - 1][0] == "一" + and seg[i - 2][0] == word + and pos == "v" + ): + continue + else: + new_seg.append([word, pos]) + seg = new_seg + new_seg = [] + # function 2 + for i, (word, pos) in enumerate(seg): + if new_seg and new_seg[-1][0] == "一": + new_seg[-1][0] = new_seg[-1][0] + word + else: + new_seg.append([word, pos]) + return new_seg + + # the first and the second words are all_tone_three + def _merge_continuous_three_tones( + self, seg: List[Tuple[str, str]] + ) -> List[Tuple[str, str]]: + new_seg = [] + sub_finals_list = [ + lazy_pinyin(word, neutral_tone_with_five=True, style=Style.FINALS_TONE3) + for (word, pos) in seg + ] + assert len(sub_finals_list) == len(seg) + merge_last = [False] * len(seg) + for i, (word, pos) in enumerate(seg): + if ( + i - 1 >= 0 + and self._all_tone_three(sub_finals_list[i - 1]) + and self._all_tone_three(sub_finals_list[i]) + and not merge_last[i - 1] + ): + # if the last word is reduplication, not merge, because reduplication need to be _neural_sandhi + if ( + not self._is_reduplication(seg[i - 1][0]) + and len(seg[i - 1][0]) + len(seg[i][0]) <= 3 + ): + new_seg[-1][0] = new_seg[-1][0] + seg[i][0] + merge_last[i] = True + else: + new_seg.append([word, pos]) + else: + new_seg.append([word, pos]) + + return new_seg + + def _is_reduplication(self, word: str) -> bool: + return len(word) == 2 and word[0] == word[1] + + # the last char of first word and the first char of second word is tone_three + def _merge_continuous_three_tones_2( + self, seg: List[Tuple[str, str]] + ) -> List[Tuple[str, str]]: + new_seg = [] + sub_finals_list = [ + lazy_pinyin(word, neutral_tone_with_five=True, style=Style.FINALS_TONE3) + for (word, pos) in seg + ] + assert len(sub_finals_list) == len(seg) + merge_last = [False] * len(seg) + for i, (word, pos) in enumerate(seg): + if ( + i - 1 >= 0 + and sub_finals_list[i - 1][-1][-1] == "3" + and sub_finals_list[i][0][-1] == "3" + and not merge_last[i - 1] + ): + # if the last word is reduplication, not merge, because reduplication need to be _neural_sandhi + if ( + not self._is_reduplication(seg[i - 1][0]) + and len(seg[i - 1][0]) + len(seg[i][0]) <= 3 + ): + new_seg[-1][0] = new_seg[-1][0] + seg[i][0] + merge_last[i] = True + else: + new_seg.append([word, pos]) + else: + new_seg.append([word, pos]) + return new_seg + + def _merge_er(self, seg: List[Tuple[str, str]]) -> List[Tuple[str, str]]: + new_seg = [] + for i, (word, pos) in enumerate(seg): + if i - 1 >= 0 and word == "儿" and seg[i - 1][0] != "#": + new_seg[-1][0] = new_seg[-1][0] + seg[i][0] + else: + new_seg.append([word, pos]) + return new_seg + + def _merge_reduplication(self, seg: List[Tuple[str, str]]) -> List[Tuple[str, str]]: + new_seg = [] + for i, (word, pos) in enumerate(seg): + if new_seg and word == new_seg[-1][0]: + new_seg[-1][0] = new_seg[-1][0] + seg[i][0] + else: + new_seg.append([word, pos]) + return new_seg + + def pre_merge_for_modify(self, seg: List[Tuple[str, str]]) -> List[Tuple[str, str]]: + seg = self._merge_bu(seg) + try: + seg = self._merge_yi(seg) + except: + print("_merge_yi failed") + seg = self._merge_reduplication(seg) + try: + seg = self._merge_continuous_three_tones(seg) + except: + print("_merge_continuous_three_tones failed") + try: + seg = self._merge_continuous_three_tones_2(seg) + except: + print("_merge_continuous_three_tones_2 failed") + + seg = self._merge_er(seg) + return seg + + def modified_tone(self, word: str, pos: str, finals: List[str]) -> List[str]: + finals = self._bu_sandhi(word, finals) + finals = self._yi_sandhi(word, finals) + finals = self._neural_sandhi(word, pos, finals) + finals = self._three_sandhi(word, finals) + return finals diff --git a/GPT_SoVITS/text/zh_normalization/README.md b/GPT_SoVITS/text/zh_normalization/README.md new file mode 100644 index 0000000000000000000000000000000000000000..92eea9f54630dfd41dfc3ce53bc511cc7595062c --- /dev/null +++ b/GPT_SoVITS/text/zh_normalization/README.md @@ -0,0 +1,16 @@ +## Supported NSW (Non-Standard-Word) Normalization + +|NSW type|raw|normalized| +|:--|:-|:-| +|serial number|电影中梁朝伟扮演的陈永仁的编号27149|电影中梁朝伟扮演的陈永仁的编号二七一四九| +|cardinal|这块黄金重达324.75克
我们班的最高总分为583分|这块黄金重达三百二十四点七五克
我们班的最高总分为五百八十三分| +|numeric range |12\~23
-1.5\~2|十二到二十三
负一点五到二| +|date|她出生于86年8月18日，她弟弟出生于1995年3月1日|她出生于八六年八月十八日， 她弟弟出生于一九九五年三月一日| +|time|等会请在12:05请通知我|等会请在十二点零五分请通知我 +|temperature|今天的最低气温达到-10°C|今天的最低气温达到零下十度 +|fraction|现场有7/12的观众投出了赞成票|现场有十二分之七的观众投出了赞成票| +|percentage|明天有62％的概率降雨|明天有百分之六十二的概率降雨| +|money|随便来几个价格12块5，34.5元，20.1万|随便来几个价格十二块五，三十四点五元，二十点一万| +|telephone|这是固话0421-33441122
这是手机+86 18544139121|这是固话零四二一三三四四一一二二
这是手机八六一八五四四一三九一二一| +## References +[Pull requests #658 of DeepSpeech](https://github.com/PaddlePaddle/DeepSpeech/pull/658/files) diff --git a/GPT_SoVITS/text/zh_normalization/__init__.py b/GPT_SoVITS/text/zh_normalization/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..46b367a68b074cf02da933f1e2433b86eeffe494 --- /dev/null +++ b/GPT_SoVITS/text/zh_normalization/__init__.py @@ -0,0 +1,14 @@ +# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from text.zh_normalization.text_normlization import * diff --git a/GPT_SoVITS/text/zh_normalization/char_convert.py b/GPT_SoVITS/text/zh_normalization/char_convert.py new file mode 100644 index 0000000000000000000000000000000000000000..dcf95d72861348b36e4f21c31350f47e56934fc1 --- /dev/null +++ b/GPT_SoVITS/text/zh_normalization/char_convert.py @@ -0,0 +1,46 @@ +# coding=utf-8 +# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Traditional and simplified Chinese conversion, a simplified character may correspond to multiple traditional characters. +""" +simplified_charcters = 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+ +traditional_characters = 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鐔鐗馗鐙鐝鐠鐡鐦鐨鐩鐫鐬鐱鐳鐶鐻鐽鐿鑀鑅鑌鑐鑕鑚鑛鑢鑤鑥鑪鑭鑯鑱鑴鑵鑷钁钃镻閆閈閌閎閒閔閗閟閡関閤閤閧閬閲閹閺閻閼閽閿闇闉闋闐闑闒闓闘闚闞闟闠闤闥阞阢阤阨阬阯阹阼阽陁陑陔陛陜陡陥陬騭陴険陼陾隂隃隈隒隗隞隠隣隤隩隮隰顴隳隷隹雂雈雉雊雎雑雒雗雘雚雝雟雩雰雱驛霂霅霈霊霑霒霓霙霝霢霣霤霨霩霪霫霮靁靆靉靑靚靣靦靪靮靰靳靷靸靺靼靿鞀鞃鞄鞌鞗鞙鞚鞝鞞鞡鞣鞨鞫鞬鞮鞶鞹鞾韃韅韉馱韍韎韔韖韘韝韞韡韣韭韮韱韹韺頀颳頄頇頊頍頎頏頒頖頞頠頫頬顱頯頲頴頼顇顋顑顒顓顔顕顚顜顢顣顬顳颭颮颱颶颸颺颻颽颾颿飀飂飈飌飜飡飣飤飥飩飫飮飱飶餀餂餄餎餇餈餑餔餕餖餗餚餛餜餟餠餤餧餩餪餫餬餮餱餲餳餺餻餼餽餿饁饅饇饉饊饍饎饐饘饟饢馘馥馝馡馣騮騾馵馹駃駄駅駆駉駋駑駓駔駗駘駙駜駡駢駪駬駰駴駸駹駽駾騂騄騅騆騉騋騍騏驎騑騒験騕騖騠騢騣騤騧驤騵騶騸騺驀驂驃驄驆驈驊驌驍驎驏驒驔驖驙驦驩驫骺鯁骫骭骯骱骴骶骷髏骾髁髂髄髆髈髐髑髕髖髙髝髞髟髡髣髧髪髫髭髯髲髳髹髺髽髾鬁鬃鬅鬈鬋鬎鬏鬐鬑鬒鬖鬗鬘鬙鬠鬣鬪鬫鬬鬮鬯鬰鬲鬵鬷魆魈魊魋魍魎魑魖鰾魛魟魣魦魨魬魴魵魸鮀鮁鮆鮌鮎鮑鮒鮓鮚鮞鮟鱇鮠鮦鮨鮪鮭鮶鮸鮿鯀鯄鯆鯇鯈鯔鯕鯖鯗鯙鯠鯤鯥鯫鯰鯷鯸鯿鰂鰆鶼鰉鰋鰐鰒鰕鰛鰜鰣鰤鰥鰦鰨鰩鰮鰳鰶鰷鱺鰼鰽鱀鱄鱅鱆鱈鱎鱐鱓鱔鱖鱘鱟鱠鱣鱨鱭鱮鱲鱵鱻鲅鳦鳧鳯鳲鳷鳻鴂鴃鴄鴆鴈鴎鴒鴔鴗鴛鴦鴝鵒鴟鴠鴢鴣鴥鴯鶓鴳鴴鴷鴽鵀鵁鵂鵓鵖鵙鵜鶘鵞鵟鵩鵪鵫鵵鵷鵻鵾鶂鶊鶏鶒鶖鶗鶡鶤鶦鶬鶱鶲鶵鶸鶹鶺鶿鷀鷁鷃鷄鷇鷈鷉鷊鷏鷓鷕鷖鷙鷞鷟鷥鷦鷯鷩鷫鷭鷳鷴鷽鷾鷿鸂鸇鸊鸏鸑鸒鸓鸕鸛鸜鸝鹸鹹鹺麀麂麃麄麇麋麌麐麑麒麚麛麝麤麩麪麫麮麯麰麺麾黁黈黌黢黒黓黕黙黝黟黥黦黧黮黰黱黲黶黹黻黼黽黿鼂鼃鼅鼈鼉鼏鼐鼒鼕鼖鼙鼚鼛鼡鼩鼱鼪鼫鼯鼷鼽齁齆齇齈齉齌齎齏齔齕齗齙齚齜齞齟齬齠齢齣齧齩齮齯齰齱齵齾龎龑龒龔龖龘龝龡龢龤' + +assert len(simplified_charcters) == len(simplified_charcters) + +s2t_dict = {} +t2s_dict = {} +for i, item in enumerate(simplified_charcters): + s2t_dict[item] = traditional_characters[i] + t2s_dict[traditional_characters[i]] = item + + +def tranditional_to_simplified(text: str) -> str: + return "".join( + [t2s_dict[item] if item in t2s_dict else item for item in text]) + + +def simplified_to_traditional(text: str) -> str: + return "".join( + [s2t_dict[item] if item in s2t_dict else item for item in text]) + + +if __name__ == "__main__": + text = "一般是指存取一個應用程式啟動時始終顯示在網站或網頁瀏覽器中的一個或多個初始網頁等畫面存在的站點" + print(text) + text_simple = tranditional_to_simplified(text) + print(text_simple) + text_traditional = simplified_to_traditional(text_simple) + print(text_traditional) diff --git a/GPT_SoVITS/text/zh_normalization/chronology.py b/GPT_SoVITS/text/zh_normalization/chronology.py new file mode 100644 index 0000000000000000000000000000000000000000..ea4558e2a7abba4ff454656b82e67b3f5c483bf2 --- /dev/null +++ b/GPT_SoVITS/text/zh_normalization/chronology.py @@ -0,0 +1,134 @@ +# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import re + +from .num import DIGITS +from .num import num2str +from .num import verbalize_cardinal +from .num import verbalize_digit + + +def _time_num2str(num_string: str) -> str: + """A special case for verbalizing number in time.""" + result = num2str(num_string.lstrip('0')) + if num_string.startswith('0'): + result = DIGITS['0'] + result + return result + + +# 时刻表达式 +RE_TIME = re.compile(r'([0-1]?[0-9]|2[0-3])' + r':([0-5][0-9])' + r'(:([0-5][0-9]))?') + +# 时间范围，如8:30-12:30 +RE_TIME_RANGE = re.compile(r'([0-1]?[0-9]|2[0-3])' + r':([0-5][0-9])' + r'(:([0-5][0-9]))?' + r'(~|-)' + r'([0-1]?[0-9]|2[0-3])' + r':([0-5][0-9])' + r'(:([0-5][0-9]))?') + + +def replace_time(match) -> str: + """ + Args: + match (re.Match) + Returns: + str + """ + + is_range = len(match.groups()) > 5 + + hour = match.group(1) + minute = match.group(2) + second = match.group(4) + + if is_range: + hour_2 = match.group(6) + minute_2 = match.group(7) + second_2 = match.group(9) + + result = f"{num2str(hour)}点" + if minute.lstrip('0'): + if int(minute) == 30: + result += "半" + else: + result += f"{_time_num2str(minute)}分" + if second and second.lstrip('0'): + result += f"{_time_num2str(second)}秒" + + if is_range: + result += "至" + result += f"{num2str(hour_2)}点" + if minute_2.lstrip('0'): + if int(minute) == 30: + result += "半" + else: + result += f"{_time_num2str(minute_2)}分" + if second_2 and second_2.lstrip('0'): + result += f"{_time_num2str(second_2)}秒" + + return result + + +RE_DATE = re.compile(r'(\d{4}|\d{2})年' + r'((0?[1-9]|1[0-2])月)?' + r'(((0?[1-9])|((1|2)[0-9])|30|31)([日号]))?') + + +def replace_date(match) -> str: + """ + Args: + match (re.Match) + Returns: + str + """ + year = match.group(1) + month = match.group(3) + day = match.group(5) + result = "" + if year: + result += f"{verbalize_digit(year)}年" + if month: + result += f"{verbalize_cardinal(month)}月" + if day: + result += f"{verbalize_cardinal(day)}{match.group(9)}" + return result + + +# 用 / 或者 - 分隔的 YY/MM/DD 或者 YY-MM-DD 日期 +RE_DATE2 = re.compile( + r'(\d{4})([- /.])(0[1-9]|1[012])\2(0[1-9]|[12][0-9]|3[01])') + + +def replace_date2(match) -> str: + """ + Args: + match (re.Match) + Returns: + str + """ + year = match.group(1) + month = match.group(3) + day = match.group(4) + result = "" + if year: + result += f"{verbalize_digit(year)}年" + if month: + result += f"{verbalize_cardinal(month)}月" + if day: + result += f"{verbalize_cardinal(day)}日" + return result diff --git a/GPT_SoVITS/text/zh_normalization/constants.py b/GPT_SoVITS/text/zh_normalization/constants.py new file mode 100644 index 0000000000000000000000000000000000000000..6423ad74a5c9a92df35aebf04bebdf4050a292de --- /dev/null +++ b/GPT_SoVITS/text/zh_normalization/constants.py @@ -0,0 +1,62 @@ +# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import re +import string + +from pypinyin.constants import SUPPORT_UCS4 + +# 全角半角转换 +# 英文字符全角 -> 半角映射表 (num: 52) +F2H_ASCII_LETTERS = { + ord(char) + 65248: ord(char) + for char in string.ascii_letters +} + +# 英文字符半角 -> 全角映射表 +H2F_ASCII_LETTERS = {value: key for key, value in F2H_ASCII_LETTERS.items()} + +# 数字字符全角 -> 半角映射表 (num: 10) +F2H_DIGITS = {ord(char) + 65248: ord(char) for char in string.digits} +# 数字字符半角 -> 全角映射表 +H2F_DIGITS = {value: key for key, value in F2H_DIGITS.items()} + +# 标点符号全角 -> 半角映射表 (num: 32) +F2H_PUNCTUATIONS = {ord(char) + 65248: ord(char) for char in string.punctuation} +# 标点符号半角 -> 全角映射表 +H2F_PUNCTUATIONS = {value: key for key, value in F2H_PUNCTUATIONS.items()} + +# 空格 (num: 1) +F2H_SPACE = {'\u3000': ' '} +H2F_SPACE = {' ': '\u3000'} + +# 非"有拼音的汉字"的字符串，可用于NSW提取 +if SUPPORT_UCS4: + RE_NSW = re.compile(r'(?:[^' + r'\u3007' # 〇 + r'\u3400-\u4dbf' # CJK扩展A:[3400-4DBF] + r'\u4e00-\u9fff' # CJK基本:[4E00-9FFF] + r'\uf900-\ufaff' # CJK兼容:[F900-FAFF] + r'\U00020000-\U0002A6DF' # CJK扩展B:[20000-2A6DF] + r'\U0002A703-\U0002B73F' # CJK扩展C:[2A700-2B73F] + r'\U0002B740-\U0002B81D' # CJK扩展D:[2B740-2B81D] + r'\U0002F80A-\U0002FA1F' # CJK兼容扩展:[2F800-2FA1F] + r'])+') +else: + RE_NSW = re.compile( # pragma: no cover + r'(?:[^' + r'\u3007' # 〇 + r'\u3400-\u4dbf' # CJK扩展A:[3400-4DBF] + r'\u4e00-\u9fff' # CJK基本:[4E00-9FFF] + r'\uf900-\ufaff' # CJK兼容:[F900-FAFF] + r'])+') diff --git a/GPT_SoVITS/text/zh_normalization/num.py b/GPT_SoVITS/text/zh_normalization/num.py new file mode 100644 index 0000000000000000000000000000000000000000..8a54d3e63ec863a28f2650f7a77538414b096c66 --- /dev/null +++ b/GPT_SoVITS/text/zh_normalization/num.py @@ -0,0 +1,238 @@ +# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Rules to verbalize numbers into Chinese characters. +https://zh.wikipedia.org/wiki/中文数字#現代中文 +""" +import re +from collections import OrderedDict +from typing import List + +DIGITS = {str(i): tran for i, tran in enumerate('零一二三四五六七八九')} +UNITS = OrderedDict({ + 1: '十', + 2: '百', + 3: '千', + 4: '万', + 8: '亿', +}) + +COM_QUANTIFIERS = '(封|艘|把|目|套|段|人|所|朵|匹|张|座|回|场|尾|条|个|首|阙|阵|网|炮|顶|丘|棵|只|支|袭|辆|挑|担|颗|壳|窠|曲|墙|群|腔|砣|座|客|贯|扎|捆|刀|令|打|手|罗|坡|山|岭|江|溪|钟|队|单|双|对|出|口|头|脚|板|跳|枝|件|贴|针|线|管|名|位|身|堂|课|本|页|家|户|层|丝|毫|厘|分|钱|两|斤|担|铢|石|钧|锱|忽|(千|毫|微)克|毫|厘|(公)分|分|寸|尺|丈|里|寻|常|铺|程|(千|分|厘|毫|微)米|米|撮|勺|合|升|斗|石|盘|碗|碟|叠|桶|笼|盆|盒|杯|钟|斛|锅|簋|篮|盘|桶|罐|瓶|壶|卮|盏|箩|箱|煲|啖|袋|钵|年|月|日|季|刻|时|周|天|秒|分|小时|旬|纪|岁|世|更|夜|春|夏|秋|冬|代|伏|辈|丸|泡|粒|颗|幢|堆|条|根|支|道|面|片|张|颗|块|元|(亿|千万|百万|万|千|百)|(亿|千万|百万|万|千|百|美|)元|(亿|千万|百万|万|千|百|十|)吨|(亿|千万|百万|万|千|百|)块|角|毛|分)' + +# 分数表达式 +RE_FRAC = re.compile(r'(-?)(\d+)/(\d+)') + + +def replace_frac(match) -> str: + """ + Args: + match (re.Match) + Returns: + str + """ + sign = match.group(1) + nominator = match.group(2) + denominator = match.group(3) + sign: str = "负" if sign else "" + nominator: str = num2str(nominator) + denominator: str = num2str(denominator) + result = f"{sign}{denominator}分之{nominator}" + return result + + +# 百分数表达式 +RE_PERCENTAGE = re.compile(r'(-?)(\d+(\.\d+)?)%') + + +def replace_percentage(match) -> str: + """ + Args: + match (re.Match) + Returns: + str + """ + sign = match.group(1) + percent = match.group(2) + sign: str = "负" if sign else "" + percent: str = num2str(percent) + result = f"{sign}百分之{percent}" + return result + + +# 整数表达式 +# 带负号的整数 -10 +RE_INTEGER = re.compile(r'(-)' r'(\d+)') + + +def replace_negative_num(match) -> str: + """ + Args: + match (re.Match) + Returns: + str + """ + sign = match.group(1) + number = match.group(2) + sign: str = "负" if sign else "" + number: str = num2str(number) + result = f"{sign}{number}" + return result + + +# 编号-无符号整形 +# 00078 +RE_DEFAULT_NUM = re.compile(r'\d{3}\d*') + + +def replace_default_num(match): + """ + Args: + match (re.Match) + Returns: + str + """ + number = match.group(0) + return verbalize_digit(number, alt_one=True) + + +# 数字表达式 +# 纯小数 +RE_DECIMAL_NUM = re.compile(r'(-?)((\d+)(\.\d+))' r'|(\.(\d+))') +# 正整数 + 量词 +RE_POSITIVE_QUANTIFIERS = re.compile(r"(\d+)([多余几\+])?" + COM_QUANTIFIERS) +RE_NUMBER = re.compile(r'(-?)((\d+)(\.\d+)?)' r'|(\.(\d+))') + + +def replace_positive_quantifier(match) -> str: + """ + Args: + match (re.Match) + Returns: + str + """ + number = match.group(1) + match_2 = match.group(2) + if match_2 == "+": + match_2 = "多" + match_2: str = match_2 if match_2 else "" + quantifiers: str = match.group(3) + number: str = num2str(number) + result = f"{number}{match_2}{quantifiers}" + return result + + +def replace_number(match) -> str: + """ + Args: + match (re.Match) + Returns: + str + """ + sign = match.group(1) + number = match.group(2) + pure_decimal = match.group(5) + if pure_decimal: + result = num2str(pure_decimal) + else: + sign: str = "负" if sign else "" + number: str = num2str(number) + result = f"{sign}{number}" + return result + + +# 范围表达式 +# match.group(1) and match.group(8) are copy from RE_NUMBER + +RE_RANGE = re.compile( + r'((-?)((\d+)(\.\d+)?)|(\.(\d+)))[-~]((-?)((\d+)(\.\d+)?)|(\.(\d+)))') + + +def replace_range(match) -> str: + """ + Args: + match (re.Match) + Returns: + str + """ + first, second = match.group(1), match.group(8) + first = RE_NUMBER.sub(replace_number, first) + second = RE_NUMBER.sub(replace_number, second) + result = f"{first}到{second}" + return result + + +def _get_value(value_string: str, use_zero: bool=True) -> List[str]: + stripped = value_string.lstrip('0') + if len(stripped) == 0: + return [] + elif len(stripped) == 1: + if use_zero and len(stripped) < len(value_string): + return [DIGITS['0'], DIGITS[stripped]] + else: + return [DIGITS[stripped]] + else: + largest_unit = next( + power for power in reversed(UNITS.keys()) if power < len(stripped)) + first_part = value_string[:-largest_unit] + second_part = value_string[-largest_unit:] + return _get_value(first_part) + [UNITS[largest_unit]] + _get_value( + second_part) + + +def verbalize_cardinal(value_string: str) -> str: + if not value_string: + return '' + + # 000 -> '零' , 0 -> '零' + value_string = value_string.lstrip('0') + if len(value_string) == 0: + return DIGITS['0'] + + result_symbols = _get_value(value_string) + # verbalized number starting with '一十*' is abbreviated as `十*` + if len(result_symbols) >= 2 and result_symbols[0] == DIGITS[ + '1'] and result_symbols[1] == UNITS[1]: + result_symbols = result_symbols[1:] + return ''.join(result_symbols) + + +def verbalize_digit(value_string: str, alt_one=False) -> str: + result_symbols = [DIGITS[digit] for digit in value_string] + result = ''.join(result_symbols) + if alt_one: + result = result.replace("一", "幺") + return result + + +def num2str(value_string: str) -> str: + integer_decimal = value_string.split('.') + if len(integer_decimal) == 1: + integer = integer_decimal[0] + decimal = '' + elif len(integer_decimal) == 2: + integer, decimal = integer_decimal + else: + raise ValueError( + f"The value string: '${value_string}' has more than one point in it." + ) + + result = verbalize_cardinal(integer) + + decimal = decimal.rstrip('0') + if decimal: + # '.22' is verbalized as '零点二二' + # '3.20' is verbalized as '三点二 + result = result if result else "零" + result += '点' + verbalize_digit(decimal) + return result diff --git a/GPT_SoVITS/text/zh_normalization/phonecode.py b/GPT_SoVITS/text/zh_normalization/phonecode.py new file mode 100644 index 0000000000000000000000000000000000000000..51835112603c1a8c31052285276f138b8c5a74d6 --- /dev/null +++ b/GPT_SoVITS/text/zh_normalization/phonecode.py @@ -0,0 +1,63 @@ +# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import re + +from .num import verbalize_digit + +# 规范化固话/手机号码 +# 手机 +# http://www.jihaoba.com/news/show/13680 +# 移动：139、138、137、136、135、134、159、158、157、150、151、152、188、187、182、183、184、178、198 +# 联通：130、131、132、156、155、186、185、176 +# 电信：133、153、189、180、181、177 +RE_MOBILE_PHONE = re.compile( + r"(? str: + if mobile: + sp_parts = phone_string.strip('+').split() + result = '，'.join( + [verbalize_digit(part, alt_one=True) for part in sp_parts]) + return result + else: + sil_parts = phone_string.split('-') + result = '，'.join( + [verbalize_digit(part, alt_one=True) for part in sil_parts]) + return result + + +def replace_phone(match) -> str: + """ + Args: + match (re.Match) + Returns: + str + """ + return phone2str(match.group(0), mobile=False) + + +def replace_mobile(match) -> str: + """ + Args: + match (re.Match) + Returns: + str + """ + return phone2str(match.group(0)) diff --git a/GPT_SoVITS/text/zh_normalization/quantifier.py b/GPT_SoVITS/text/zh_normalization/quantifier.py new file mode 100644 index 0000000000000000000000000000000000000000..598030e439bd2dd419900892547a550a5df96482 --- /dev/null +++ b/GPT_SoVITS/text/zh_normalization/quantifier.py @@ -0,0 +1,63 @@ +# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import re + +from .num import num2str + +# 温度表达式，温度会影响负号的读法 +# -3°C 零下三度 +RE_TEMPERATURE = re.compile(r'(-?)(\d+(\.\d+)?)(°C|℃|度|摄氏度)') +measure_dict = { + "cm2": "平方厘米", + "cm²": "平方厘米", + "cm3": "立方厘米", + "cm³": "立方厘米", + "cm": "厘米", + "db": "分贝", + "ds": "毫秒", + "kg": "千克", + "km": "千米", + "m2": "平方米", + "m²": "平方米", + "m³": "立方米", + "m3": "立方米", + "ml": "毫升", + "m": "米", + "mm": "毫米", + "s": "秒" +} + + +def replace_temperature(match) -> str: + """ + Args: + match (re.Match) + Returns: + str + """ + sign = match.group(1) + temperature = match.group(2) + unit = match.group(3) + sign: str = "零下" if sign else "" + temperature: str = num2str(temperature) + unit: str = "摄氏度" if unit == "摄氏度" else "度" + result = f"{sign}{temperature}{unit}" + return result + + +def replace_measure(sentence) -> str: + for q_notation in measure_dict: + if q_notation in sentence: + sentence = sentence.replace(q_notation, measure_dict[q_notation]) + return sentence diff --git a/GPT_SoVITS/text/zh_normalization/text_normlization.py b/GPT_SoVITS/text/zh_normalization/text_normlization.py new file mode 100644 index 0000000000000000000000000000000000000000..1250e96ca4d1b163edca87da844fab0b173d1d02 --- /dev/null +++ b/GPT_SoVITS/text/zh_normalization/text_normlization.py @@ -0,0 +1,154 @@ +# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import re +from typing import List + +from .char_convert import tranditional_to_simplified +from .chronology import RE_DATE +from .chronology import RE_DATE2 +from .chronology import RE_TIME +from .chronology import RE_TIME_RANGE +from .chronology import replace_date +from .chronology import replace_date2 +from .chronology import replace_time +from .constants import F2H_ASCII_LETTERS +from .constants import F2H_DIGITS +from .constants import F2H_SPACE +from .num import RE_DECIMAL_NUM +from .num import RE_DEFAULT_NUM +from .num import RE_FRAC +from .num import RE_INTEGER +from .num import RE_NUMBER +from .num import RE_PERCENTAGE +from .num import RE_POSITIVE_QUANTIFIERS +from .num import RE_RANGE +from .num import replace_default_num +from .num import replace_frac +from .num import replace_negative_num +from .num import replace_number +from .num import replace_percentage +from .num import replace_positive_quantifier +from .num import replace_range +from .phonecode import RE_MOBILE_PHONE +from .phonecode import RE_NATIONAL_UNIFORM_NUMBER +from .phonecode import RE_TELEPHONE +from .phonecode import replace_mobile +from .phonecode import replace_phone +from .quantifier import RE_TEMPERATURE +from .quantifier import replace_measure +from .quantifier import replace_temperature + + +class TextNormalizer(): + def __init__(self): + self.SENTENCE_SPLITOR = re.compile(r'([：、，；。？！,;?!][”’]?)') + + def _split(self, text: str, lang="zh") -> List[str]: + """Split long text into sentences with sentence-splitting punctuations. + Args: + text (str): The input text. + Returns: + List[str]: Sentences. + """ + # Only for pure Chinese here + if lang == "zh": + text = text.replace(" ", "") + # 过滤掉特殊字符 + text = re.sub(r'[——《》【】<=>{}()（）#&@“”^_|…\\]', '', text) + text = self.SENTENCE_SPLITOR.sub(r'\1\n', text) + text = text.strip() + sentences = [sentence.strip() for sentence in re.split(r'\n+', text)] + return sentences + + def _post_replace(self, sentence: str) -> str: + sentence = sentence.replace('/', '每') + sentence = sentence.replace('~', '至') + sentence = sentence.replace('～', '至') + sentence = sentence.replace('①', '一') + sentence = sentence.replace('②', '二') + sentence = sentence.replace('③', '三') + sentence = sentence.replace('④', '四') + sentence = sentence.replace('⑤', '五') + sentence = sentence.replace('⑥', '六') + sentence = sentence.replace('⑦', '七') + sentence = sentence.replace('⑧', '八') + sentence = sentence.replace('⑨', '九') + sentence = sentence.replace('⑩', '十') + sentence = sentence.replace('α', '阿尔法') + sentence = sentence.replace('β', '贝塔') + sentence = sentence.replace('γ', '伽玛').replace('Γ', '伽玛') + sentence = sentence.replace('δ', '德尔塔').replace('Δ', '德尔塔') + sentence = sentence.replace('ε', '艾普西龙') + sentence = sentence.replace('ζ', '捷塔') + sentence = sentence.replace('η', '依塔') + sentence = sentence.replace('θ', '西塔').replace('Θ', '西塔') + sentence = sentence.replace('ι', '艾欧塔') + sentence = sentence.replace('κ', '喀帕') + sentence = sentence.replace('λ', '拉姆达').replace('Λ', '拉姆达') + sentence = sentence.replace('μ', '缪') + sentence = sentence.replace('ν', '拗') + sentence = sentence.replace('ξ', '克西').replace('Ξ', '克西') + sentence = sentence.replace('ο', '欧米克伦') + sentence = sentence.replace('π', '派').replace('Π', '派') + sentence = sentence.replace('ρ', '肉') + sentence = sentence.replace('ς', '西格玛').replace('Σ', '西格玛').replace( + 'σ', '西格玛') + sentence = sentence.replace('τ', '套') + sentence = sentence.replace('υ', '宇普西龙') + sentence = sentence.replace('φ', '服艾').replace('Φ', '服艾') + sentence = sentence.replace('χ', '器') + sentence = sentence.replace('ψ', '普赛').replace('Ψ', '普赛') + sentence = sentence.replace('ω', '欧米伽').replace('Ω', '欧米伽') + # re filter special characters, have one more character "-" than line 68 + sentence = re.sub(r'[-——《》【】<=>{}()（）#&@“”^_|…\\]', '', sentence) + return sentence + + def normalize_sentence(self, sentence: str) -> str: + # basic character conversions + sentence = tranditional_to_simplified(sentence) + sentence = sentence.translate(F2H_ASCII_LETTERS).translate( + F2H_DIGITS).translate(F2H_SPACE) + + # number related NSW verbalization + sentence = RE_DATE.sub(replace_date, sentence) + sentence = RE_DATE2.sub(replace_date2, sentence) + + # range first + sentence = RE_TIME_RANGE.sub(replace_time, sentence) + sentence = RE_TIME.sub(replace_time, sentence) + + sentence = RE_TEMPERATURE.sub(replace_temperature, sentence) + sentence = replace_measure(sentence) + sentence = RE_FRAC.sub(replace_frac, sentence) + sentence = RE_PERCENTAGE.sub(replace_percentage, sentence) + sentence = RE_MOBILE_PHONE.sub(replace_mobile, sentence) + + sentence = RE_TELEPHONE.sub(replace_phone, sentence) + sentence = RE_NATIONAL_UNIFORM_NUMBER.sub(replace_phone, sentence) + + sentence = RE_RANGE.sub(replace_range, sentence) + sentence = RE_INTEGER.sub(replace_negative_num, sentence) + sentence = RE_DECIMAL_NUM.sub(replace_number, sentence) + sentence = RE_POSITIVE_QUANTIFIERS.sub(replace_positive_quantifier, + sentence) + sentence = RE_DEFAULT_NUM.sub(replace_default_num, sentence) + sentence = RE_NUMBER.sub(replace_number, sentence) + sentence = self._post_replace(sentence) + + return sentence + + def normalize(self, text: str) -> List[str]: + sentences = self._split(text) + sentences = [self.normalize_sentence(sent) for sent in sentences] + return sentences diff --git a/GPT_SoVITS/utils.py b/GPT_SoVITS/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..0ce03b33490a71e254b24fe25e3acfa438743b90 --- /dev/null +++ b/GPT_SoVITS/utils.py @@ -0,0 +1,362 @@ +import os +import glob +import sys +import argparse +import logging +import json +import subprocess +import traceback + +import librosa +import numpy as np +from scipy.io.wavfile import read +import torch +import logging + +logging.getLogger("numba").setLevel(logging.ERROR) +logging.getLogger("matplotlib").setLevel(logging.ERROR) + +MATPLOTLIB_FLAG = False + +logging.basicConfig(stream=sys.stdout, level=logging.DEBUG) +logger = logging + + +def load_checkpoint(checkpoint_path, model, optimizer=None, skip_optimizer=False): + assert os.path.isfile(checkpoint_path) + checkpoint_dict = torch.load(checkpoint_path, map_location="cpu") + iteration = checkpoint_dict["iteration"] + learning_rate = checkpoint_dict["learning_rate"] + if ( + optimizer is not None + and not skip_optimizer + and checkpoint_dict["optimizer"] is not None + ): + optimizer.load_state_dict(checkpoint_dict["optimizer"]) + saved_state_dict = checkpoint_dict["model"] + if hasattr(model, "module"): + state_dict = model.module.state_dict() + else: + state_dict = model.state_dict() + new_state_dict = {} + for k, v in state_dict.items(): + try: + # assert "quantizer" not in k + # print("load", k) + new_state_dict[k] = saved_state_dict[k] + assert saved_state_dict[k].shape == v.shape, ( + saved_state_dict[k].shape, + v.shape, + ) + except: + traceback.print_exc() + print( + "error, %s is not in the checkpoint" % k + ) # shape不对也会，比如text_embedding当cleaner修改时 + new_state_dict[k] = v + if hasattr(model, "module"): + model.module.load_state_dict(new_state_dict) + else: + model.load_state_dict(new_state_dict) + print("load ") + logger.info( + "Loaded checkpoint '{}' (iteration {})".format(checkpoint_path, iteration) + ) + return model, optimizer, learning_rate, iteration + + +def save_checkpoint(model, optimizer, learning_rate, iteration, checkpoint_path): + logger.info( + "Saving model and optimizer state at iteration {} to {}".format( + iteration, checkpoint_path + ) + ) + if hasattr(model, "module"): + state_dict = model.module.state_dict() + else: + state_dict = model.state_dict() + torch.save( + { + "model": state_dict, + "iteration": iteration, + "optimizer": optimizer.state_dict(), + "learning_rate": learning_rate, + }, + checkpoint_path, + ) + + +def summarize( + writer, + global_step, + scalars={}, + histograms={}, + images={}, + audios={}, + audio_sampling_rate=22050, +): + for k, v in scalars.items(): + writer.add_scalar(k, v, global_step) + for k, v in histograms.items(): + writer.add_histogram(k, v, global_step) + for k, v in images.items(): + writer.add_image(k, v, global_step, dataformats="HWC") + for k, v in audios.items(): + writer.add_audio(k, v, global_step, audio_sampling_rate) + + +def latest_checkpoint_path(dir_path, regex="G_*.pth"): + f_list = glob.glob(os.path.join(dir_path, regex)) + f_list.sort(key=lambda f: int("".join(filter(str.isdigit, f)))) + x = f_list[-1] + print(x) + return x + + +def plot_spectrogram_to_numpy(spectrogram): + global MATPLOTLIB_FLAG + if not MATPLOTLIB_FLAG: + import matplotlib + + matplotlib.use("Agg") + MATPLOTLIB_FLAG = True + mpl_logger = logging.getLogger("matplotlib") + mpl_logger.setLevel(logging.WARNING) + import matplotlib.pylab as plt + import numpy as np + + fig, ax = plt.subplots(figsize=(10, 2)) + im = ax.imshow(spectrogram, aspect="auto", origin="lower", interpolation="none") + plt.colorbar(im, ax=ax) + plt.xlabel("Frames") + plt.ylabel("Channels") + plt.tight_layout() + + fig.canvas.draw() + data = np.fromstring(fig.canvas.tostring_rgb(), dtype=np.uint8, sep="") + data = data.reshape(fig.canvas.get_width_height()[::-1] + (3,)) + plt.close() + return data + + +def plot_alignment_to_numpy(alignment, info=None): + global MATPLOTLIB_FLAG + if not MATPLOTLIB_FLAG: + import matplotlib + + matplotlib.use("Agg") + MATPLOTLIB_FLAG = True + mpl_logger = logging.getLogger("matplotlib") + mpl_logger.setLevel(logging.WARNING) + import matplotlib.pylab as plt + import numpy as np + + fig, ax = plt.subplots(figsize=(6, 4)) + im = ax.imshow( + alignment.transpose(), aspect="auto", origin="lower", interpolation="none" + ) + fig.colorbar(im, ax=ax) + xlabel = "Decoder timestep" + if info is not None: + xlabel += "\n\n" + info + plt.xlabel(xlabel) + plt.ylabel("Encoder timestep") + plt.tight_layout() + + fig.canvas.draw() + data = np.fromstring(fig.canvas.tostring_rgb(), dtype=np.uint8, sep="") + data = data.reshape(fig.canvas.get_width_height()[::-1] + (3,)) + plt.close() + return data + + +def load_wav_to_torch(full_path): + data, sampling_rate = librosa.load(full_path, sr=None) + return torch.FloatTensor(data), sampling_rate + + +def load_filepaths_and_text(filename, split="|"): + with open(filename, encoding="utf-8") as f: + filepaths_and_text = [line.strip().split(split) for line in f] + return filepaths_and_text + + +def get_hparams(init=True, stage=1): + parser = argparse.ArgumentParser() + parser.add_argument( + "-c", + "--config", + type=str, + default="./configs/s2.json", + help="JSON file for configuration", + ) + parser.add_argument( + "-p", "--pretrain", type=str, required=False, default=None, help="pretrain dir" + ) + parser.add_argument( + "-rs", + "--resume_step", + type=int, + required=False, + default=None, + help="resume step", + ) + # parser.add_argument('-e', '--exp_dir', type=str, required=False,default=None,help='experiment directory') + # parser.add_argument('-g', '--pretrained_s2G', type=str, required=False,default=None,help='pretrained sovits gererator weights') + # parser.add_argument('-d', '--pretrained_s2D', type=str, required=False,default=None,help='pretrained sovits discriminator weights') + + args = parser.parse_args() + + config_path = args.config + with open(config_path, "r") as f: + data = f.read() + config = json.loads(data) + + hparams = HParams(**config) + hparams.pretrain = args.pretrain + hparams.resume_step = args.resume_step + # hparams.data.exp_dir = args.exp_dir + if stage == 1: + model_dir = hparams.s1_ckpt_dir + else: + model_dir = hparams.s2_ckpt_dir + config_save_path = os.path.join(model_dir, "config.json") + + if not os.path.exists(model_dir): + os.makedirs(model_dir) + + with open(config_save_path, "w") as f: + f.write(data) + return hparams + + +def clean_checkpoints(path_to_models="logs/44k/", n_ckpts_to_keep=2, sort_by_time=True): + """Freeing up space by deleting saved ckpts + + Arguments: + path_to_models -- Path to the model directory + n_ckpts_to_keep -- Number of ckpts to keep, excluding G_0.pth and D_0.pth + sort_by_time -- True -> chronologically delete ckpts + False -> lexicographically delete ckpts + """ + import re + + ckpts_files = [ + f + for f in os.listdir(path_to_models) + if os.path.isfile(os.path.join(path_to_models, f)) + ] + name_key = lambda _f: int(re.compile("._(\d+)\.pth").match(_f).group(1)) + time_key = lambda _f: os.path.getmtime(os.path.join(path_to_models, _f)) + sort_key = time_key if sort_by_time else name_key + x_sorted = lambda _x: sorted( + [f for f in ckpts_files if f.startswith(_x) and not f.endswith("_0.pth")], + key=sort_key, + ) + to_del = [ + os.path.join(path_to_models, fn) + for fn in (x_sorted("G")[:-n_ckpts_to_keep] + x_sorted("D")[:-n_ckpts_to_keep]) + ] + del_info = lambda fn: logger.info(f".. Free up space by deleting ckpt {fn}") + del_routine = lambda x: [os.remove(x), del_info(x)] + rs = [del_routine(fn) for fn in to_del] + + +def get_hparams_from_dir(model_dir): + config_save_path = os.path.join(model_dir, "config.json") + with open(config_save_path, "r") as f: + data = f.read() + config = json.loads(data) + + hparams = HParams(**config) + hparams.model_dir = model_dir + return hparams + + +def get_hparams_from_file(config_path): + with open(config_path, "r") as f: + data = f.read() + config = json.loads(data) + + hparams = HParams(**config) + return hparams + + +def check_git_hash(model_dir): + source_dir = os.path.dirname(os.path.realpath(__file__)) + if not os.path.exists(os.path.join(source_dir, ".git")): + logger.warn( + "{} is not a git repository, therefore hash value comparison will be ignored.".format( + source_dir + ) + ) + return + + cur_hash = subprocess.getoutput("git rev-parse HEAD") + + path = os.path.join(model_dir, "githash") + if os.path.exists(path): + saved_hash = open(path).read() + if saved_hash != cur_hash: + logger.warn( + "git hash values are different. {}(saved) != {}(current)".format( + saved_hash[:8], cur_hash[:8] + ) + ) + else: + open(path, "w").write(cur_hash) + + +def get_logger(model_dir, filename="train.log"): + global logger + logger = logging.getLogger(os.path.basename(model_dir)) + logger.setLevel(logging.DEBUG) + + formatter = logging.Formatter("%(asctime)s\t%(name)s\t%(levelname)s\t%(message)s") + if not os.path.exists(model_dir): + os.makedirs(model_dir) + h = logging.FileHandler(os.path.join(model_dir, filename)) + h.setLevel(logging.DEBUG) + h.setFormatter(formatter) + logger.addHandler(h) + return logger + + +class HParams: + def __init__(self, **kwargs): + for k, v in kwargs.items(): + if type(v) == dict: + v = HParams(**v) + self[k] = v + + def keys(self): + return self.__dict__.keys() + + def items(self): + return self.__dict__.items() + + def values(self): + return self.__dict__.values() + + def __len__(self): + return len(self.__dict__) + + def __getitem__(self, key): + return getattr(self, key) + + def __setitem__(self, key, value): + return setattr(self, key, value) + + def __contains__(self, key): + return key in self.__dict__ + + def __repr__(self): + return self.__dict__.__repr__() + + +if __name__ == "__main__": + print( + load_wav_to_torch( + "/home/fish/wenetspeech/dataset_vq/Y0000022499_wHFSeHEx9CM/S00261.flac" + ) + ) diff --git a/Kedreamix/Linly-Talker/.cache/huggingface/.gitignore b/Kedreamix/Linly-Talker/.cache/huggingface/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..f59ec20aabf5842d237244ece8c81ab184faeac1 --- /dev/null +++ b/Kedreamix/Linly-Talker/.cache/huggingface/.gitignore @@ -0,0 +1 @@ +* \ No newline at end of file diff --git a/Kedreamix/Linly-Talker/.cache/huggingface/download/.gitattributes.lock b/Kedreamix/Linly-Talker/.cache/huggingface/download/.gitattributes.lock new file mode 100644 index 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filter=lfs diff=lfs merge=lfs -text diff --git a/Kedreamix/Linly-Talker/.mdl b/Kedreamix/Linly-Talker/.mdl new file mode 100644 index 0000000000000000000000000000000000000000..c5ad04cb3a98adcd784bb8396a2bc965e584e63f Binary files /dev/null and b/Kedreamix/Linly-Talker/.mdl differ diff --git a/Kedreamix/Linly-Talker/.msc b/Kedreamix/Linly-Talker/.msc new file mode 100644 index 0000000000000000000000000000000000000000..e0272f1d389234ed2ffcd899f66a82bec4f0656a Binary files /dev/null and b/Kedreamix/Linly-Talker/.msc differ diff --git a/Kedreamix/Linly-Talker/README.md b/Kedreamix/Linly-Talker/README.md new file mode 100644 index 0000000000000000000000000000000000000000..a7983f9150c8481bb022edff9436d43cd97992a0 --- /dev/null +++ b/Kedreamix/Linly-Talker/README.md @@ -0,0 +1,342 @@ +# 数字人智能对话系统 - Linly-Talker — “数字人交互，与虚拟的自己互动” + +
+

Linly-Talker WebUI

+ + +[![madewithlove](https://img.shields.io/badge/made_with-%E2%9D%A4-red?style=for-the-badge&labelColor=orange)](https://github.com/Kedreamix/Linly-Talker) + +
+ +[![Open In Colab](https://img.shields.io/badge/Colab-F9AB00?style=for-the-badge&logo=googlecolab&color=525252)](https://colab.research.google.com/github/Kedreamix/Linly-Talker/blob/main/colab_webui.ipynb) +[![Licence](https://img.shields.io/badge/LICENSE-MIT-green.svg?style=for-the-badge)](https://github.com/Kedreamix/Linly-Talker/blob/main/LICENSE) +[![Huggingface](https://img.shields.io/badge/🤗%20-Models%20Repo-yellow.svg?style=for-the-badge)](https://huggingface.co/Kedreamix/Linly-Talker) + +[**English**](https://github.com/Kedreamix/Linly-Talker/blob/main/README.md) | [**中文简体**](https://github.com/Kedreamix/Linly-Talker/blob/main/README_zh.md) + +
+ + +**2023.12 更新** 📆 + +**用户可以上传任意图片进行对话** + +**2024.01 更新** 📆 + +- **令人兴奋的消息！我现在已经将强大的GeminiPro和Qwen大模型融入到我们的对话场景中。用户现在可以在对话中上传任何图片，为我们的互动增添了全新的层面。** +- **更新了FastAPI的部署调用方法。** +- **更新了微软TTS的高级设置选项，增加声音种类的多样性，以及加入视频字幕加强可视化。** +- **更新了GPT多轮对话系统，使得对话有上下文联系，提高数字人的交互性和真实感。** + +**2024.02 更新** 📆 + +- **更新了Gradio的版本为最新版本4.16.0，使得界面拥有更多的功能，比如可以摄像头拍摄图片构建数字人等。** +- **更新了ASR和THG，其中ASR加入了阿里的FunASR，具体更快的速度；THG部分加入了Wav2Lip模型，ER-NeRF在准备中(Comming Soon)。** +- **加入了语音克隆方法GPT-SoVITS模型，能够通过微调一分钟对应人的语料进行克隆，效果还是相当不错的，值得推荐。** +- **集成一个WebUI界面，能够更好的运行Linly-Talker。** + +**2024.04 更新** 📆 + +- **更新了除 Edge TTS的 Paddle TTS的离线方式。** +- **更新了ER-NeRF作为Avatar生成的选择之一。** +- **更新了app_talk.py，在不基于对话场景可自由上传语音和图片视频生成。** + +--- + +
+目录 + + + + +- [数字人对话系统 - Linly-Talker —— “数字人交互，与虚拟的自己互动”](#数字人对话系统---linly-talker--数字人交互与虚拟的自己互动) + - [介绍](#介绍) + - [TO DO LIST](#to-do-list) + - [示例](#示例) + - [创建环境](#创建环境) + - [ASR - Speech Recognition](#asr---speech-recognition) + - [Whisper](#whisper) + - [FunASR](#funasr) + - [TTS - Edge TTS](#tts---edge-tts) + - [Voice Clone](#voice-clone) + - [GPT-SoVITS（推荐）](#gpt-sovits推荐) + - [XTTS](#xtts) + - [THG - Avatar](#thg---avatar) + - [SadTalker](#sadtalker) + - [Wav2Lip](#wav2lip) + - [ER-NeRF（Comming Soon）](#er-nerfcomming-soon) + - [LLM - Conversation](#llm---conversation) + - [Linly-AI](#linly-ai) + - [Qwen](#qwen) + - [Gemini-Pro](#gemini-pro) + - [LLM 多模型选择](#llm-多模型选择) + - [优化](#优化) + - [Gradio](#gradio) + - [启动WebUI](#启动webui) + - [文件夹结构](#文件夹结构) + - [参考](#参考) + - [Star History](#star-history) + + + +
+ + + +## 介绍 + +Linly-Talker是一款创新的数字人对话系统，它融合了最新的人工智能技术，包括大型语言模型（LLM）、自动语音识别（ASR）、文本到语音转换（TTS）和语音克隆技术。这个系统通过Gradio平台提供了一个交互式的Web界面，允许用户上传图片与AI进行个性化的对话交流。 + +系统的核心特点包括： + +1. **多模型集成**：Linly-Talker整合了Linly、GeminiPro、Qwen等大模型，以及Whisper、SadTalker等视觉模型，实现了高质量的对话和视觉生成。 +2. **多轮对话能力**：通过GPT模型的多轮对话系统，Linly-Talker能够理解并维持上下文相关的连贯对话，极大地提升了交互的真实感。 +3. **语音克隆**：利用GPT-SoVITS等技术，用户可以上传一分钟的语音样本进行微调，系统将克隆用户的声音，使得数字人能够以用户的声音进行对话。 +4. **实时互动**：系统支持实时语音识别和视频字幕，使得用户可以通过语音与数字人进行自然的交流。 +5. **视觉增强**：通过数字人生成等技术，Linly-Talker能够生成逼真的数字人形象，提供更加沉浸式的体验。 + +Linly-Talker的设计理念是创造一种全新的人机交互方式，不仅仅是简单的问答，而是通过高度集成的技术，提供一个能够理解、响应并模拟人类交流的智能数字人。 + +![The system architecture of multimodal human–computer interaction.](https://github.com/Kedreamix/Linly-Talker/raw/main/docs/HOI.png) + +> 查看我们的介绍视频 [demo video](https://www.bilibili.com/video/BV1rN4y1a76x/) +> +> 在B站上我录了一系列视频，也代表我更新的每一步与使用方法，详细查看[数字人智能对话系统 - Linly-Talker合集](https://space.bilibili.com/241286257/channel/collectiondetail?sid=2065753) +> +> - [🔥🔥🔥数字人对话系统 Linly-Talker🔥🔥🔥](https://www.bilibili.com/video/BV1rN4y1a76x/) +> - [🚀数字人的未来：Linly-Talker+GPT-SoVIT语音克隆技术的赋能之道](https://www.bilibili.com/video/BV1S4421A7gh/) +> - [AutoDL平台部署Linly-Talker (0基础小白超详细教程)](https://www.bilibili.com/video/BV1uT421m74z/) +> - [Linly-Talker 更新离线TTS集成及定制数字人方案](https://www.bilibili.com/video/BV1Mr421u7NN/) + +## TO DO LIST + +- [x] 基本完成对话系统流程，能够`语音对话` +- [x] 加入了LLM大模型，包括`Linly`，`Qwen`和`GeminiPro`的使用 +- [x] 可上传`任意数字人照片`进行对话 +- [x] Linly加入`FastAPI`调用方式 +- [x] 利用微软`TTS`加入高级选项，可设置对应人声以及音调等参数，增加声音的多样性 +- [x] 视频生成加入`字幕`，能够更好的进行可视化 +- [x] GPT`多轮对话`系统（提高数字人的交互性和真实感，增强数字人的智能） +- [x] 优化Gradio界面，加入更多模型，如Wav2Lip，FunASR等 +- [x] `语音克隆`技术，加入GPT-SoVITS，只需要一分钟的语音简单微调即可（语音克隆合成自己声音，提高数字人分身的真实感和互动体验） +- [x] 加入离线TTS以及NeRF-based的方法和模型 +- [ ] `实时`语音识别（人与数字人之间就可以通过语音进行对话交流) + +🔆 该项目 Linly-Talker 正在进行中 - 欢迎提出PR请求！如果您有任何关于新的模型方法、研究、技术或发现运行错误的建议，请随时编辑并提交 PR。您也可以打开一个问题或通过电子邮件直接联系我。📩⭐ 如果您发现这个Github Project有用，请给它点个星！🤩 + +> 如果在部署的时候有任何的问题，可以关注[常见问题汇总.md](https://github.com/Kedreamix/Linly-Talker/blob/main/常见问题汇总.md)部分，我已经整理了可能出现的所有问题，另外交流群也在这里，我会定时更新，感谢大家的关注与使用！！！ + +###### 模型文件和权重，请浏览“模型文件”页面获取。 + + +接下来还需要安装对应的模型，有以下下载方式，下载后安装文件架结构放置，文件夹结构在本文最后有说明。 + +- [Baidu (百度云盘)](https://pan.baidu.com/s/1eF13O-8wyw4B3MtesctQyg?pwd=linl) (Password: `linl`) +- [huggingface](https://huggingface.co/Kedreamix/Linly-Talker) +- [modelscope](https://www.modelscope.cn/models/Kedreamix/Linly-Talker/summary) + +**HuggingFace下载** + +如果速度太慢可以考虑镜像，参考[简便快捷获取 Hugging Face 模型（使用镜像站点）](https://kedreamix.github.io/2024/01/05/Note/HuggingFace/?highlight=镜像) + +```bash +# 从huggingface下载预训练模型 +git lfs install +git clone https://huggingface.co/Kedreamix/Linly-Talker +``` + +**ModelScope下载** + +```bash +# 从modelscope下载预训练模型 +# 1. git 方法 +git lfs install +git clone https://www.modelscope.cn/Kedreamix/Linly-Talker.git + +# 2. Python 代码下载 +pip install modelscope +from modelscope import snapshot_download +model_dir = snapshot_download('Kedreamix/Linly-Talker') +``` + +**移动所有模型到当前目录** + +如果百度网盘下载后，可以参考文档最后目录结构来移动 + +```bash +# 移动所有模型到当前目录 +# checkpoint中含有SadTalker和Wav2Lip +mv Linly-Talker/checkpoints/* ./checkpoints + +# SadTalker的增强GFPGAN +# pip install gfpgan +# mv Linly-Talker/gfpan ./ + +# 语音克隆模型 +mv Linly-Talker/GPT_SoVITS/pretrained_models/* ./GPT_SoVITS/pretrained_models/ + +# Qwen大模型 +mv Linly-Talker/Qwen ./ +``` + +为了大家的部署使用方便，更新了一个`configs.py`文件，可以对其进行一些超参数修改即可 + +```bash +# 设备运行端口 (Device running port) +port = 7860 +# api运行端口及IP (API running port and IP) +mode = 'api' # api 需要先运行Linly-api-fast.py，暂时仅仅适用于Linly + +# 本地端口localhost:127.0.0.1 全局端口转发:"0.0.0.0" +ip = '127.0.0.1' +api_port = 7871 + +# L模型路径 (Linly model path) +mode = 'offline' +model_path = 'Qwen/Qwen-1_8B-Chat' + +# ssl证书 (SSL certificate) 麦克风对话需要此参数 +# 最好调整为绝对路径 +ssl_certfile = "./https_cert/cert.pem" +ssl_keyfile = "./https_cert/key.pem" +``` + +## 启动WebUI + +之前我将很多个版本都是分开来的，实际上运行多个会比较麻烦，所以后续我增加了变成WebUI一个界面即可体验，后续也会不断更新 + +现在已加入WebUI的功能如下 + +- [x] 文本/语音数字人对话（固定数字人，分男女角色） +- [x] 任意图片数字人对话（可上传任意数字人） +- [x] 多轮GPT对话（加入历史对话数据，链接上下文） +- [x] 语音克隆对话（基于GPT-SoVITS设置进行语音克隆，内置烟嗓音，可根据语音对话的声音进行克隆） + +```bash +# WebUI +python webui.py +``` + +![](https://github.com/Kedreamix/Linly-Talker/raw/main/docs/WebUI.png) + + + +现在的启动一共有几种模式，可以选择特定的场景进行设置 + +第一种只有固定了人物问答，设置好了人物，省去了预处理时间 + +```bash +python app.py +``` + +![](https://github.com/Kedreamix/Linly-Talker/raw/main/docs/UI.png) + +最近更新了第一种模式，加入了Wav2Lip模型进行对话 + +```bash +python appv2.py +``` + +第二种是可以任意上传图片进行对话 + +```bash +python app_img.py +``` + +![](https://github.com/Kedreamix/Linly-Talker/raw/main/docs/UI2.png) + +第三种是在第一种的基础上加入了大语言模型，加入了多轮的GPT对话 + +```bash +python app_multi.py +``` + +![](https://github.com/Kedreamix/Linly-Talker/raw/main/docs/UI3.png) + +现在加入了语音克隆的部分，可以自由切换自己克隆的声音模型和对应的人图片进行实现，这里我选择了一个烟嗓音和男生图片 + +```bash +python app_vits.py +``` + +加入了第四种方式，不固定场景进行对话，直接输入语音或者生成语音进行数字人生成，内置了Sadtalker，Wav2Lip，ER-NeRF等方式 + +> ER-NeRF是针对单独一个人的视频进行训练的，所以需要替换特定的模型才能进行渲染得到正确的结果，内置了Obama的权重，可直接用 + +```bash +python app_talk.py +``` + +![](https://github.com/Kedreamix/Linly-Talker/raw/main/docs/UI4.png) + +## 文件夹结构 + +所有的权重部分可以从这下载 + +- [Baidu (百度云盘)](https://pan.baidu.com/s/1eF13O-8wyw4B3MtesctQyg?pwd=linl) (Password: `linl`) +- [huggingface](https://huggingface.co/Kedreamix/Linly-Talker) +- [modelscope](https://www.modelscope.cn/models/Kedreamix/Linly-Talker/files) comming soon + +权重文件夹结构如下 + +```bash +Linly-Talker/ +├── checkpoints +│   ├── hub +│   │   └── checkpoints +│   │   └── s3fd-619a316812.pth +│   ├── lipsync_expert.pth +│   ├── mapping_00109-model.pth.tar +│   ├── mapping_00229-model.pth.tar +│   ├── SadTalker_V0.0.2_256.safetensors +│   ├── visual_quality_disc.pth +│   ├── wav2lip_gan.pth +│   └── wav2lip.pth +├── gfpgan +│   └── weights +│   ├── alignment_WFLW_4HG.pth +│   └── detection_Resnet50_Final.pth +├── GPT_SoVITS +│   └── pretrained_models +│   ├── chinese-hubert-base +│   │   ├── config.json +│   │   ├── preprocessor_config.json +│   │   └── pytorch_model.bin +│   ├── chinese-roberta-wwm-ext-large +│   │   ├── config.json +│   │   ├── pytorch_model.bin +│   │   └── tokenizer.json +│   ├── README.md +│   ├── s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt +│   ├── s2D488k.pth +│   ├── s2G488k.pth +│   └── speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch +├── Qwen +│   └── Qwen-1_8B-Chat +│   ├── assets +│   │   ├── logo.jpg +│   │   ├── qwen_tokenizer.png +│   │   ├── react_showcase_001.png +│   │   ├── react_showcase_002.png +│   │   └── wechat.png +│   ├── cache_autogptq_cuda_256.cpp +│   ├── cache_autogptq_cuda_kernel_256.cu +│   ├── config.json +│   ├── configuration_qwen.py +│   ├── cpp_kernels.py +│   ├── examples +│   │   └── react_prompt.md +│   ├── generation_config.json +│   ├── LICENSE +│   ├── model-00001-of-00002.safetensors +│   ├── model-00002-of-00002.safetensors +│   ├── modeling_qwen.py +│   ├── model.safetensors.index.json +│   ├── NOTICE +│   ├── qwen_generation_utils.py +│   ├── qwen.tiktoken +│   ├── README.md +│   ├── tokenization_qwen.py +│   └── tokenizer_config.json +└── README.md +``` diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..81e564b12bb831ffb576e49f3df9626d9f0d3a61 --- /dev/null +++ b/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2024 Kedreamix + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/LLM/ChatGLM.py b/LLM/ChatGLM.py new file mode 100644 index 0000000000000000000000000000000000000000..0c4d21fa29402f6ec90b12bd7ef8b486a62cc81d --- /dev/null +++ b/LLM/ChatGLM.py @@ -0,0 +1,54 @@ +''' +根据现有HuggingFace的LLM的调用方式写一个模板 +注意一下是否调用方式类似，如果不类似，需要修改里面的推理代码 +支持：Qwen，ChatLLM等 +''' +from transformers import AutoModelForCausalLM, AutoTokenizer + +class ChatGLM: + def __init__(self, mode='offline', model_path = 'THUDM/chatglm3-6b', prefix_prompt = '''请用少于25个字回答以下问题\n\n'''): + self.mode = mode + self.model, self.tokenizer = self.init_model(model_path) + self.history = None + self.prefix_prompt = prefix_prompt + assert self.mode == 'offline', "ChatGLM只支持离线模式" + + def init_model(self, model_path): + model = AutoModelForCausalLM.from_pretrained(model_path, + device_map="auto", + trust_remote_code=True).eval() + tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True) + return model, tokenizer + + def generate(self, prompt, system_prompt=""): + if self.mode != 'api': + try: + # 注意这里的history是个list，每次调用都会把prompt和response都放进去 + # 如果使用，查看对应的方法是否类似，这里是问答的重要部份，这里正确，基本就正确了 + response, self.history = self.model.chat(self.tokenizer, self.prefix_prompt + prompt, history=self.history) + return response + except Exception as e: + print(e) + return "对不起，你的请求出错了，请再次尝试。\nSorry, your request has encountered an error. Please try again.\n" + else: + return self.predict_api(prompt) + + def predict_api(self, prompt): + '''暂时不写api版本,与Linly-api相类似,感兴趣可以实现一下''' + pass + + def chat(self, system_prompt, message): + response = self.generate(message, system_prompt) + self.history.append((message, response)) + return response, self.history + + def clear_history(self): + self.history = [] + +def test(): + llm = ChatGLM(mode='offline',model_path='THUDM/chatglm3-6b') + answer = llm.generate("如何应对压力？") + print(answer) + +if __name__ == '__main__': + test() diff --git a/LLM/ChatGPT.py b/LLM/ChatGPT.py new file mode 100644 index 0000000000000000000000000000000000000000..dbed2742e65df7891f8f64105358d3d608882067 --- /dev/null +++ b/LLM/ChatGPT.py @@ -0,0 +1,34 @@ +''' +pip install openai +''' +import os +import openai + +class ChatGPT(): + def __init__(self, model_path = 'gpt-3.5-turbo', api_key = None, proxy_url = None, prefix_prompt = '''请用少于25个字回答以下问题\n\n'''): + if proxy_url: + os.environ['https_proxy'] = proxy_url if proxy_url else None + os.environ['http_proxy'] = proxy_url if proxy_url else None + openai.api_key = api_key + self.model_path = model_path + self.prefix_prompt = prefix_prompt + + def generate(self, message): + try: + response = openai.ChatCompletion.create( + model=self.model_path, + messages=[ + {"role": "user", "content": self.prefix_prompt + message} + ] + ) + return response['choices'][0]['message']['content'] + except Exception as e: + print(e) + return "对不起，你的请求出错了，请再次尝试。\nSorry, your request has encountered an error. Please try again.\n" + +if __name__ == '__main__': + API_KEY = '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' + # 若使用ChatGPT，要保证自己的APIKEY可用，并且服务器可访问OPENAI + llm = ChatGPT(model_path='gpt-3.5-turbo', api_key=API_KEY, proxy_url=None) + answer = llm.generate("如何应对压力？") + print(answer) diff --git a/LLM/GPT4Free.py b/LLM/GPT4Free.py new file mode 100644 index 0000000000000000000000000000000000000000..9ff8b751d66391619a9260ff1f4c796f7993ec6e --- /dev/null +++ b/LLM/GPT4Free.py @@ -0,0 +1,61 @@ +''' +pip install -U g4f[all] +https://github.com/xtekky/gpt4free +''' +from g4f.client import Client + +class GPT4FREE: + def __init__(self, prefix_prompt = '''请用少于25个字回答以下问题\n\n'''): + self.client = Client() + self.prefix_prompt = prefix_prompt + self.history = [] + ''' + response = client.chat.completions.create( + model="gpt-3.5-turbo", + messages=[{"role": "user", "content": "Hello"}], + ... + ) + print(response.choices[0].message.content) + ''' + def generate(self, question, system_prompt="You are a helpful assistant."): + self.history += [{ + "role": "user", + "content": self.prefix_prompt + question + }] + response = self.client.chat.completions.create( + model="gpt-3.5-turbo", + messages= [{"role": "system", + "content": system_prompt}] + if system_prompt else [] + self.history, + ) + + answer = response.choices[0].message.content + if 'sorry' in answer.lower(): + return '对不起，你的请求出错了，请再次尝试。\nSorry, your request has encountered an error. Please try again.\n' + + return response.choices[0].message.content + def chat(self, system_prompt = "You are a helpful assistant.", message = "", history=[]): + response = self.generate(message, system_prompt) + self.history += [{ + "role": "assistants", + "content": response + }] + history.append((message, response)) + return response, history + def clear_history(self): + # 清空历史记录 + self.history = [] + + +def test(): + llm = GPT4FREE() + answer, history = llm.chat("", "如何应对压力？") + print(answer, history) + from time import sleep + sleep(5) + answer, history = llm.chat("", "能不能更加详细一点呢") + print(answer, history) + + +if __name__ == '__main__': + test() \ No newline at end of file diff --git a/LLM/Gemini.py b/LLM/Gemini.py new file mode 100644 index 0000000000000000000000000000000000000000..a6daa784900b51c44358953d00ff7392d562f143 --- /dev/null +++ b/LLM/Gemini.py @@ -0,0 +1,20 @@ +import os +import google.generativeai as genai + + +def configure_api(api_key, proxy_url=None): + if proxy_url: + os.environ['https_proxy'] = proxy_url if proxy_url else None + os.environ['http_proxy'] = proxy_url if proxy_url else None + genai.configure(api_key=api_key) + + +class Gemini: + def __init__(self, model_path='gemini-pro', api_key=None, proxy_url=None): + configure_api(api_key, proxy_url) + self.model = genai.GenerativeModel(model_path) + + def generate(self, question): + response = self.model.generate_content(question) + return response + \ No newline at end of file diff --git a/LLM/Linly-api-fast.py b/LLM/Linly-api-fast.py new file mode 100644 index 0000000000000000000000000000000000000000..09c6c000f83fa0de8245a77bf70992639a69bdee --- /dev/null +++ b/LLM/Linly-api-fast.py @@ -0,0 +1,71 @@ +from fastapi import FastAPI, Request +from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig +import uvicorn +import json +import datetime +import torch +from configs import model_path, api_port +# 设置设备参数 +DEVICE = "cuda" # 使用CUDA +DEVICE_ID = "0" # CUDA设备ID，如果未设置则为空 +CUDA_DEVICE = f"{DEVICE}:{DEVICE_ID}" if DEVICE_ID else DEVICE # 组合CUDA设备信息 + +# 清理GPU内存函数 +def torch_gc(): + if torch.cuda.is_available(): # 检查是否可用CUDA + with torch.cuda.device(CUDA_DEVICE): # 指定CUDA设备 + torch.cuda.empty_cache() # 清空CUDA缓存 + torch.cuda.ipc_collect() # 收集CUDA内存碎片 + +# 创建FastAPI应用 +app = FastAPI() + +# 处理POST请求的端点 +@app.post("/") +async def create_item(request: Request): + global model, tokenizer # 声明全局变量以便在函数内部使用模型和分词器 + json_post_raw = await request.json() # 获取POST请求的JSON数据 + json_post = json.dumps(json_post_raw) # 将JSON数据转换为字符串 + json_post_list = json.loads(json_post) # 将字符串转换为Python对象 + prompt = json_post_list.get('prompt') # 获取请求中的提示 + history = json_post_list.get('history') # 获取请求中的历史记录 + max_length = json_post_list.get('max_length') # 获取请求中的最大长度 + top_p = json_post_list.get('top_p') # 获取请求中的top_p参数 + temperature = json_post_list.get('temperature') # 获取请求中的温度参数 + + # 调用模型进行对话生成 + prompt = f"请用少于25个字回答以下问题 ### Instruction:{prompt} ### Response:" + inputs = tokenizer(prompt, return_tensors="pt").to("cuda:0") + generate_ids = model.generate(inputs.input_ids, + max_new_tokens=max_length if max_length else 2048, + do_sample=True, + top_k=20, + top_p=top_p, + temperature=temperature if temperature else 0.84, + repetition_penalty=1.15, eos_token_id=2, bos_token_id=1,pad_token_id=0) + response = tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0] + response = response.split("### Response:")[-1] + now = datetime.datetime.now() # 获取当前时间 + time = now.strftime("%Y-%m-%d %H:%M:%S") # 格式化时间为字符串 + # 构建响应JSON + answer = { + "response": response, + # "history": history, + "status": 200, + "time": time + } + # 构建日志信息 + log = "[" + time + "] " + '", prompt:"' + prompt + '", response:"' + repr(response) + '"' + print(log) # 打印日志 + torch_gc() # 执行GPU内存清理 + return answer # 返回响应 + +# 主函数入口 +if __name__ == '__main__': + # 加载预训练的分词器和模型 + model = AutoModelForCausalLM.from_pretrained(model_path, device_map="cuda:0", + torch_dtype=torch.bfloat16, trust_remote_code=True) + tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=False, trust_remote_code=True) + model.eval() # 设置模型为评估模式 + # 启动FastAPI应用 + uvicorn.run(app, host='0.0.0.0', port=api_port, workers=1) # 在指定端口和主机上启动应用 \ No newline at end of file diff --git a/LLM/Linly.py b/LLM/Linly.py new file mode 100644 index 0000000000000000000000000000000000000000..ea82c27d2d6893c0e0c7bbb99a0ed8c1b984b557 --- /dev/null +++ b/LLM/Linly.py @@ -0,0 +1,89 @@ +import os +import torch +import requests +import json +from transformers import AutoModelForCausalLM, AutoTokenizer +from configs import ip, api_port, model_path +os.environ['CUDA_LAUNCH_BLOCKING'] = '1' + +class Linly: + def __init__(self, mode='api', model_path="Linly-AI/Chinese-LLaMA-2-7B-hf", prefix_prompt = '''请用少于25个字回答以下问题\n\n'''): + # mode = api need + # 定义设置的api的服务器,首先记得运行Linly-api-fast.py 填入ip地址和端口号 + self.url = f"http://{ip}:{api_port}" # local server: http://ip:port + self.headers = { + "Content-Type": "application/json" + } + self.data = { + "question": "北京有什么好玩的地方？" + } + # 全局设定的prompt + self.prefix_prompt = prefix_prompt + self.mode = mode + if mode != 'api': + self.model, self.tokenizer = self.init_model(model_path) + self.history = [] + + def init_model(self, path = "Linly-AI/Chinese-LLaMA-2-7B-hf"): + model = AutoModelForCausalLM.from_pretrained(path, device_map="cuda:0", + torch_dtype=torch.bfloat16, trust_remote_code=True) + tokenizer = AutoTokenizer.from_pretrained(path, use_fast=False, trust_remote_code=True) + return model, tokenizer + + def generate(self, question, system_prompt=""): + if self.mode != 'api': + self.data["question"] = self.message_to_prompt(question, system_prompt) + inputs = self.tokenizer(self.data["question"], return_tensors="pt").to("cuda:0") + try: + generate_ids = self.model.generate(inputs.input_ids, + max_new_tokens=2048, + do_sample=True, + top_k=20, + top_p=0.84, + temperature=1, + repetition_penalty=1.15, + eos_token_id=2, + bos_token_id=1, + pad_token_id=0) + response = self.tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0] + response = response.split("### Response:")[-1] + return response + except: + return "对不起，你的请求出错了，请再次尝试。\nSorry, your request has encountered an error. Please try again.\n" + elif self.mode == 'api': + return self.predict_api(question) + + def message_to_prompt(self, message, system_prompt=""): + system_prompt = self.prefix_prompt + system_prompt + for interaction in self.history: + user_prompt, bot_prompt = str(interaction[0]).strip(' '), str(interaction[1]).strip(' ') + system_prompt = f"{system_prompt} User: {user_prompt} Bot: {bot_prompt}" + prompt = f"{system_prompt} ### Instruction:{message.strip()} ### Response:" + return prompt + + def predict_api(self, question): + # FastAPI Predict 调用API来进行预测 + self.data["question"] = question + headers = {'Content-Type': 'application/json'} + data = {"prompt": question} + response = requests.post(url=self.url, headers=headers, data=json.dumps(data)) + return response.json()['response'] + + def chat(self, system_prompt, message, history): + self.history = history + prompt = self.message_to_prompt(message, system_prompt) + response = self.generate(prompt) + self.history.append([message, response]) + return response, self.history + + def clear_history(self): + # 清空历史记录 + self.history = [] + +def test(): + llm = Linly(mode='offline',model_path='../Linly-AI/Chinese-LLaMA-2-7B-hf') + answer = llm.generate("如何应对压力？") + print(answer) + +if __name__ == '__main__': + test() diff --git a/LLM/Llama2Chinese.py b/LLM/Llama2Chinese.py new file mode 100644 index 0000000000000000000000000000000000000000..cff14cd4bff63ce45c6432332132c7ed388aa3fd --- /dev/null +++ b/LLM/Llama2Chinese.py @@ -0,0 +1,143 @@ +import torch +from transformers import ( + LlamaForCausalLM, + LlamaTokenizer, + StoppingCriteria, +) +import os +os.environ['CUDA_LAUNCH_BLOCKING'] = '1' +# os.environ["CUDA_VISIBLE_DEVICES"] = '0' + +class Llama2Chinese: + def __init__(self, model_path, mode='offline'): + """ + 初始化LLM模板 + + Args: + model_name_or_path (str): 模型名称或路径 + mode (str, optional): 模式，'offline'表示离线模式，'api'表示使用API模式。默认为'offline'。 + """ + self.mode = mode + self.load_in_8bit = True + self.prefix_prompt = '''请用少于25个字回答以下问题 ''' + self.history = [] + self.model, self.tokenizer = self.init_model(model_path) + self.model.eval() + + def init_model(self, model_path): + """ + 初始化语言模型 + + Args: + model_name_or_path (str): 模型名称或路径 + + Returns: + model: 加载的语言模型 + tokenizer: 加载的tokenizer + """ + tokenizer = LlamaTokenizer.from_pretrained(model_path) + + base_model = LlamaForCausalLM.from_pretrained( + model_path, + load_in_8bit=self.load_in_8bit, + torch_dtype=torch.float16, + low_cpu_mem_usage=True, + device_map='cuda:0', + ) + model_vocab_size = base_model.get_input_embeddings().weight.size(0) + tokenzier_vocab_size = len(tokenizer) + print(f"Vocab of the base model: {model_vocab_size}") + print(f"Vocab of the tokenizer: {tokenzier_vocab_size}") + if model_vocab_size != tokenzier_vocab_size: + assert tokenzier_vocab_size > model_vocab_size + print("Resize model embeddings to fit tokenizer") + base_model.resize_token_embeddings(tokenzier_vocab_size) + return base_model, tokenizer + + def generate(self, prompt, system_prompt="Below is an instruction that describes a task. Write a response that appropriately completes the request."): + """ + 生成对话响应 + + Args: + prompt (str): 对话的提示 + system_prompt (str, optional): 系统提示。默认为""。 + + Returns: + str: 对话响应 + """ + device = torch.device(0) + # TODO: 模型预测 + # 这一块需要尤其注意，这里的模板是借鉴了HuggingFace上的一些推理模板，需要根据自己的模型进行调整 + # 这里的模板主要是为了方便调试，因为模型预测的时候，会有很多不同的输入，所以可以根据自己的模型进行调整 + if self.mode != 'api': + try: + # max_memory = 1024 + question = self.message_to_prompt(prompt, system_prompt) + # print(question) + # if len(question) > max_memory: + # question = question[-max_memory:] + inputs = self.tokenizer(question, return_tensors="pt") + # input_ids = inputs["input_ids"].to(device) + generation_config = dict( + temperature=0.5, + top_k=40, + top_p=0.9, + do_sample=True, + num_beams=1, + repetition_penalty=1.1, + max_new_tokens=512 + ) + generate_ids = self.model.generate( + input_ids = inputs["input_ids"].to(device), + attention_mask = inputs['attention_mask'].to(device), + eos_token_id=self.tokenizer.eos_token_id, + pad_token_id=self.tokenizer.pad_token_id, + **generation_config + ) + response = self.tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0] + response = response.split("### Response:")[-1].strip() + + # response, self.history = self.model.chat(self.tokenizer, prompt, history=self.history, system = system_prompt) + return response + except Exception as e: + print(e) + return "对不起，你的请求出错了，请再次尝试。\nSorry, your request has encountered an error. Please try again.\n" + else: + return self.predict_api(prompt) + + def message_to_prompt(self, message, system_prompt=""): + system_prompt = self.prefix_prompt + system_prompt + for interaction in self.history: + user_prompt, bot_prompt = str(interaction[0]).strip(' '), str(interaction[1]).strip(' ') + system_prompt = f"{system_prompt} ### Instruction:\n{user_prompt}\n\n### Response: {bot_prompt}\n\n" + prompt = f"{system_prompt} ### Instruction:\n{message.strip()}\n\n### Response: " + return prompt + + def predict_api(self, prompt): + """ + 使用API预测对话响应 + + Args: + prompt (str): 对话的提示 + + Returns: + str: 对话响应 + """ + '''暂时不写api版本,与Linly-api相类似,感兴趣可以实现一下''' + pass + + def chat(self, system_prompt, message): + response = self.generate(message, system_prompt) + self.history.append((message, response)) + return response, self.history + + def clear_history(self): + self.history = [] + +def test(): + llm = Llama2Chinese("./Llama2-chat-13B-Chinese-50W") + answer = llm.generate("如何应对压力") + print(answer) + +if __name__ == '__main__': + test() diff --git a/LLM/Qwen.py b/LLM/Qwen.py new file mode 100644 index 0000000000000000000000000000000000000000..a04051a975c028474e101755773084b5e01a4df9 --- /dev/null +++ b/LLM/Qwen.py @@ -0,0 +1,61 @@ +import os +import torch +import requests +from transformers import AutoModelForCausalLM, AutoTokenizer +os.environ['CUDA_LAUNCH_BLOCKING'] = '1' + +class Qwen: + def __init__(self, mode='offline', model_path="Qwen/Qwen-1_8B-Chat", prefix_prompt = '''请用少于25个字回答以下问题\n\n'''): + '''暂时不写api版本,与Linly-api相类似,感兴趣可以实现一下''' + self.url = "http://ip:port" # local server: http://ip:port + self.headers = { + "Content-Type": "application/json" + } + self.data = { + "question": "北京有什么好玩的地方？" + } + self.prefix_prompt = prefix_prompt + self.mode = mode + self.model, self.tokenizer = self.init_model(model_path) + self.history = None + + def init_model(self, path = "Qwen/Qwen-1_8B-Chat"): + model = AutoModelForCausalLM.from_pretrained(path, + device_map="auto", + trust_remote_code=True).eval() + tokenizer = AutoTokenizer.from_pretrained(path, trust_remote_code=True) + + return model, tokenizer + + def generate(self, question, system_prompt=""): + if self.mode != 'api': + self.data["question"] = self.prefix_prompt + question + try: + response, self.history = self.model.chat(self.tokenizer, self.data["question"], history=self.history, system = system_prompt) + # print(self.history) + return response + except Exception as e: + print(e) + return "对不起，你的请求出错了，请再次尝试。\nSorry, your request has encountered an error. Please try again.\n" + else: + return self.predict_api(question) + def predict_api(self, question): + '''暂时不写api版本,与Linly-api相类似,感兴趣可以实现一下''' + pass + + def chat(self, system_prompt, message, history): + response = self.generate(message, system_prompt) + history.append((message, response)) + return response, history + + def clear_history(self): + # 清空历史记录 + self.history = [] + +def test(): + llm = Qwen(mode='offline', model_path="Qwen/Qwen-1_8B-Chat") + answer = llm.generate("如何应对压力？") + print(answer) + +if __name__ == '__main__': + test() diff --git a/LLM/Qwen2.py b/LLM/Qwen2.py new file mode 100644 index 0000000000000000000000000000000000000000..389a1ed7981f615657e9904a193d3c2eb5169efa --- /dev/null +++ b/LLM/Qwen2.py @@ -0,0 +1,82 @@ +import os +import torch +import requests +from transformers import AutoModelForCausalLM, AutoTokenizer +os.environ['CUDA_LAUNCH_BLOCKING'] = '1' + +class Qwen2: + def __init__(self, mode='offline', model_path="Qwen/Qwen1.5-0.5B-Chat", prefix_prompt = '''请用少于25个字回答以下问题\n\n'''): + '''暂时不写api版本,与Linly-api相类似,感兴趣可以实现一下''' + self.url = "http://ip:port" # local server: http://ip:port + self.headers = { + "Content-Type": "application/json" + } + self.data = { + "question": "北京有什么好玩的地方？" + } + self.prefix_prompt = prefix_prompt + self.mode = mode + self.model, self.tokenizer = self.init_model(model_path) + self.history = None + + def init_model(self, path = "Qwen/Qwen2-0.5B"): + model = AutoModelForCausalLM.from_pretrained(path, + device_map="auto", + torch_dtype="auto", + trust_remote_code=True).eval() + tokenizer = AutoTokenizer.from_pretrained(path, trust_remote_code=True) + + return model, tokenizer + + def generate(self, question, system_prompt="You are a helpful assistant."): + device = 'cuda' if torch.cuda.is_available() else 'cpu' + if self.mode != 'api': + try: + # response, self.history = self.model.chat(self.tokenizer, self.data["question"], history=self.history, system = system_prompt) + messages = [ + {"role": "system", "content": system_prompt}, + {"role": "user", "content": self.prefix_prompt + question} + ] + text = self.tokenizer.apply_chat_template( + messages, + tokenize=False, + add_generation_prompt=True + ) + model_inputs = self.tokenizer([text], return_tensors="pt").to(device) + generated_ids = self.model.generate( + model_inputs.input_ids, + max_new_tokens=512 + ) + generated_ids = [ + output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids) + ] + + response = self.tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0] + # print(self.history) + return response + except Exception as e: + print(e) + return "对不起，你的请求出错了，请再次尝试。\nSorry, your request has encountered an error. Please try again.\n" + else: + return self.predict_api(question) + def predict_api(self, question): + '''暂时不写api版本,与Linly-api相类似,感兴趣可以实现一下''' + pass + + def chat(self, system_prompt, message, history): + response = self.generate(message, system_prompt) + history.append((message, response)) + return response, history + + def clear_history(self): + # 清空历史记录 + self.history = [] + +def test(): + llm = Qwen2(mode='offline', model_path="Qwen/Qwen1.5-0.5B-Chat") + # llm = Qwen2(mode='offline', model_path="Qwen/Qwen2-0.5B") + answer = llm.generate("如何应对压力？") + print(answer) + +if __name__ == '__main__': + test() diff --git a/LLM/README.md b/LLM/README.md new file mode 100644 index 0000000000000000000000000000000000000000..76817e583f7986a383e4c708fbd5888670bd611b --- /dev/null +++ b/LLM/README.md @@ -0,0 +1,223 @@ +## LLM 大语言模型为数字人赋能 + + + +### Linly-AI 伶荔 + +Linly来自深圳大学数据工程国家重点实验室，参考[https://github.com/CVI-SZU/Linly](https://github.com/CVI-SZU/Linly) + +下载Linly模型：[https://huggingface.co/Linly-AI/Chinese-LLaMA-2-7B-hf](https://huggingface.co/Linly-AI/Chinese-LLaMA-2-7B-hf) + +一共有两种下载方式： + +1. 可以使用`git`下载 + +```bash +git lfs install +git clone https://huggingface.co/Linly-AI/Chinese-LLaMA-2-7B-hf +``` + +2. 使用`huggingface`的下载工具`huggingface-cli` + +```bash +pip install -U huggingface_hub + +# 设置镜像加速 +# Linux +export HF_ENDPOINT="https://hf-mirror.com" +# windows powershell +$env:HF_ENDPOINT="https://hf-mirror.com" + +# 命令行下载 +huggingface-cli download --resume-download Linly-AI/Chinese-LLaMA-2-7B-hf --local-dir Linly-AI/Chinese-LLaMA-2-7B-hf +``` + + + +**API部署** + +API部署推荐**FastAPI**，现在更新了 FastAPI 的API使用版本，FastAPI 是一个高性能、易用且现代的Python Web 框架，它通过使用最新的Python 特性和异步编程，提供了快速开发Web API 的能力。 该框架不仅易于学习和使用，还具有自动生成文档、数据验证等强大功能。 无论是构建小型项目还是大型应用程序，FastAPI 都是一个强大而有效的工具。 + +首先安装部署API所使用的库 + +```bash +pip install fastapi==0.104.1 +pip install uvicorn==0.24.0.post1 +``` + +其他使用方法大致相同，主要是不同代码实现方式，会更加简单便捷，并且处理并发也会更好 + +```python +from fastapi import FastAPI, Request +from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig +import uvicorn +import json +import datetime +import torch +from configs import model_path, api_port +# 设置设备参数 +DEVICE = "cuda" # 使用CUDA +DEVICE_ID = "0" # CUDA设备ID，如果未设置则为空 +CUDA_DEVICE = f"{DEVICE}:{DEVICE_ID}" if DEVICE_ID else DEVICE # 组合CUDA设备信息 + +# 清理GPU内存函数 +def torch_gc(): + if torch.cuda.is_available(): # 检查是否可用CUDA + with torch.cuda.device(CUDA_DEVICE): # 指定CUDA设备 + torch.cuda.empty_cache() # 清空CUDA缓存 + torch.cuda.ipc_collect() # 收集CUDA内存碎片 + +# 创建FastAPI应用 +app = FastAPI() + +# 处理POST请求的端点 +@app.post("/") +async def create_item(request: Request): + global model, tokenizer # 声明全局变量以便在函数内部使用模型和分词器 + json_post_raw = await request.json() # 获取POST请求的JSON数据 + json_post = json.dumps(json_post_raw) # 将JSON数据转换为字符串 + json_post_list = json.loads(json_post) # 将字符串转换为Python对象 + prompt = json_post_list.get('prompt') # 获取请求中的提示 + history = json_post_list.get('history') # 获取请求中的历史记录 + max_length = json_post_list.get('max_length') # 获取请求中的最大长度 + top_p = json_post_list.get('top_p') # 获取请求中的top_p参数 + temperature = json_post_list.get('temperature') # 获取请求中的温度参数 + + # 调用模型进行对话生成 + prompt = f"请用少于25个字回答以下问题 ### Instruction:{prompt} ### Response:" + inputs = tokenizer(prompt, return_tensors="pt").to("cuda:0") + generate_ids = model.generate(inputs.input_ids, + max_new_tokens=max_length if max_length else 2048, + do_sample=True, + top_k=20, + top_p=top_p, + temperature=temperature if temperature else 0.84, + repetition_penalty=1.15, eos_token_id=2, bos_token_id=1,pad_token_id=0) + response = tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0] + response = response.split("### Response:")[-1] + now = datetime.datetime.now() # 获取当前时间 + time = now.strftime("%Y-%m-%d %H:%M:%S") # 格式化时间为字符串 + # 构建响应JSON + answer = { + "response": response, + # "history": history, + "status": 200, + "time": time + } + # 构建日志信息 + log = "[" + time + "] " + '", prompt:"' + prompt + '", response:"' + repr(response) + '"' + print(log) # 打印日志 + torch_gc() # 执行GPU内存清理 + return answer # 返回响应 + +# 主函数入口 +if __name__ == '__main__': + # 加载预训练的分词器和模型 + model = AutoModelForCausalLM.from_pretrained(model_path, device_map="cuda:0", + torch_dtype=torch.bfloat16, trust_remote_code=True) + tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=False, trust_remote_code=True) + model.eval() # 设置模型为评估模式 + # 启动FastAPI应用 + uvicorn.run(app, host='0.0.0.0', port=api_port, workers=1) # 在指定端口和主机上启动应用 +``` + +**POST调用** + +默认部署在 7871 端口，通过 POST 方法进行调用，可以使用curl调用，如下所示： + +```bash +curl -X POST "http://127.0.0.1:7871" \ + -H 'Content-Type: application/json' \ + -d '{"prompt": "如何应对压力"}' +``` + +**Python代码调用** + +也可以使用python中的requests库进行调用，如下所示： + +```python +import requests +import json + +def get_completion(prompt): + headers = {'Content-Type': 'application/json'} + data = {"prompt": prompt} + response = requests.post(url='http://127.0.0.1:7871', headers=headers, data=json.dumps(data)) + return response.json()['response'] + +if __name__ == '__main__': + print(get_completion('你好如何应对压力')) +``` + +得到的返回值如下所示： + +```bash +{ + "response":"寻求支持和放松，并采取积极的措施解决问题。", + "status":200, + "time":"2024-01-12 01:43:37" +} +``` + + + +### Qwen 通义千问 + +来自阿里云的Qwen，查看 [https://github.com/QwenLM/Qwen](https://github.com/QwenLM/Qwen) + +如果想要快速使用，可以选1.8B的模型，参数比较少，在较小的显存也可以正常使用，当然这一部分可以替换 + +下载 Qwen1.8B 模型: [https://huggingface.co/Qwen/Qwen-1_8B-Chat](https://huggingface.co/Qwen/Qwen-1_8B-Chat) + +可以使用`git`下载 + +```bash +git lfs install +git clone https://huggingface.co/Qwen/Qwen-1_8B-Chat +``` + +或者使用`huggingface`的下载工具`huggingface-cli` + +```bash +pip install -U huggingface_hub + +# 设置镜像加速 +# Linux +export HF_ENDPOINT="https://hf-mirror.com" +# windows powershell +$env:HF_ENDPOINT="https://hf-mirror.com" + +huggingface-cli download --resume-download Qwen/Qwen-1_8B-Chat --local-dir Qwen/Qwen-1_8B-Chat +``` + +如果出现了一些网络问题，大家其实可以用魔搭社区进行下载，速度很快，最后修改路径即可 [https://modelscope.cn/models/qwen/Qwen-1_8B-Chat/files](https://modelscope.cn/models/qwen/Qwen-1_8B-Chat/files) + +```python +# 模型下载 +from modelscope import snapshot_download +model_dir = snapshot_download('qwen/Qwen-1_8B-Chat') +``` + + + +### Gemini-Pro 双子座 + +来自 Google 的 Gemini-Pro，了解更多请访问 [https://deepmind.google/technologies/gemini/](https://deepmind.google/technologies/gemini/) + +请求 API 密钥: [https://makersuite.google.com/](https://makersuite.google.com/) + + + +### ChatGPT + +ChatGPT由OpenAI开发，需要申请API。更多信息请访问 [OpenAI平台文档](https://platform.openai.com/docs/introduction)。 + + + +### ChatGLM + +ChatGLM由清华大学开发，更多信息请访问 [ChatGLM GitHub页面](https://github.com/THUDM/ChatGLM3)。 + + + +### 欢迎补充～～～ diff --git a/LLM/__init__.py b/LLM/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..d567086d7812555d2587f32a9a40da2a3f09a2a6 --- /dev/null +++ b/LLM/__init__.py @@ -0,0 +1,101 @@ +from .Linly import Linly +from .Qwen import Qwen +from .Qwen2 import Qwen2 +try: + from .Gemini import Gemini +except Exception as e: + print("Gemini模型加载失败，可能是因为没有google-generativeai库，但是Gemini模型不是必顂的，可以忽略") +from .ChatGPT import ChatGPT +from .ChatGLM import ChatGLM +from .Llama2Chinese import Llama2Chinese +from .GPT4Free import GPT4FREE +def test_Linly(question = "如何应对压力？", mode='offline', model_path="Linly-AI/Chinese-LLaMA-2-7B-hf"): + llm = Linly(mode, model_path) + answer = llm.generate(question) + print(answer) + +def test_Qwen(question = "如何应对压力？", mode='offline', model_path="Qwen/Qwen-1_8B-Chat"): + llm = Qwen(mode, model_path) + answer = llm.generate(question) + print(answer) + +def test_Gemini(question = "如何应对压力？", model_path='gemini-pro', api_key=None, proxy_url=None): + llm = Gemini(model_path, api_key, proxy_url) + answer = llm.generate(question) + print(answer) + +def test_ChatGPT(question = "如何应对压力？", model_path = 'gpt-3.5-turbo', api_key = None, proxy_url = None): + llm = ChatGPT(model_path, api_key, proxy_url) + answer = llm.generate(question) + print(answer) + +class LLM: + def __init__(self, mode='offline'): + self.mode = mode + + def init_model(self, model_name, model_path='', api_key=None, proxy_url=None, prefix_prompt='''请用少于25个字回答以下问题\n\n'''): + if model_name not in ['Linly', 'Qwen', 'Qwen2', 'Gemini', 'ChatGLM', 'ChatGPT', 'Llama2Chinese', 'GPT4Free', '直接回复 Direct Reply']: + raise ValueError("model_name must be one of ['Linly', 'Qwen', 'Gemini', 'ChatGLM', 'ChatGPT', 'Llama2Chinese', 'GPT4Free']") + if model_name == 'Linly': + llm = Linly(self.mode, model_path) + elif model_name == 'Qwen': + llm = Qwen(self.mode, model_path) + elif model_name == 'Qwen2': + llm = Qwen2(self.mode, model_path) + elif model_name == 'Gemini': + llm = Gemini(model_path, api_key, proxy_url) + elif model_name == 'ChatGLM': + llm = ChatGLM(self.mode, model_path) + elif model_name == 'ChatGPT': + llm = ChatGPT(model_path, api_key, proxy_url) + elif model_name == 'Llama2Chinese': + llm = Llama2Chinese(model_path, self.mode) + elif model_name == 'GPT4Free': + llm = GPT4FREE() + elif model_name == '直接回复 Direct Reply': + llm = self + llm.prefix_prompt = prefix_prompt + return llm + + def chat(self, system_prompt, message, history): + response = self.generate(message, system_prompt) + history.append((message, response)) + return response, history + + def generate(self, question, system_prompt = 'system无效'): + return question + + def test_Linly(self, question="如何应对压力？", model_path="Linly-AI/Chinese-LLaMA-2-7B-hf"): + llm = Linly(self.mode, model_path) + answer = llm.generate(question) + print(answer) + + def test_Qwen(self, question="如何应对压力？", model_path="Qwen/Qwen-1_8B-Chat"): + llm = Qwen(self.mode, model_path) + answer = llm.generate(question) + print(answer) + + def test_Gemini(self, question="如何应对压力？", model_path='gemini-pro', api_key=None, proxy_url=None): + llm = Gemini(model_path, api_key, proxy_url) + answer = llm.generate(question) + print(answer) + + def test_ChatGPT(self, question="如何应对压力？", model_path = 'gpt-3.5-turbo', api_key = None, proxy_url = None): + llm = ChatGPT(model_path, api_key, proxy_url) + answer = llm.generate(question) + print(answer) + + def test_ChatGLM(self, question="如何应对压力？", model_path="THUDM/chatglm-6b"): + llm = ChatGLM(mode=self.mode, model_name_or_path=model_path) + answer = llm.generate(question) + print(answer) + +if __name__ == '__main__': + llm_class = LLM(mode='offline') + llm_class.init_model('直接回复 Direct Reply') + question = '如何应对压力？' + answer = llm_class.generate(question) + # llm.test_Qwen() + # llm.test_Linly() + # llm.test_Gemini() + # llm.test_ChatGLM() \ No newline at end of file diff --git a/LLM/template.py b/LLM/template.py new file mode 100644 index 0000000000000000000000000000000000000000..2e8ea518b450d699e95311bc76cfad6d6a8e0319 --- /dev/null +++ b/LLM/template.py @@ -0,0 +1,78 @@ +from transformers import AutoModelForCausalLM, AutoTokenizer + +class LLMTemplate: + def __init__(self, model_name_or_path, mode='offline'): + """ + 初始化LLM模板 + + Args: + model_name_or_path (str): 模型名称或路径 + mode (str, optional): 模式，'offline'表示离线模式，'api'表示使用API模式。默认为'offline'。 + """ + self.mode = mode + # 模型初始化 + self.model, self.tokenizer = self.init_model(model_name_or_path) + self.history = None + + def init_model(self, model_name_or_path): + """ + 初始化语言模型 + + Args: + model_name_or_path (str): 模型名称或路径 + + Returns: + model: 加载的语言模型 + tokenizer: 加载的tokenizer + """ + # TODO: 模型加载 + model = AutoModelForCausalLM.from_pretrained(model_name_or_path, + device_map="auto", + trust_remote_code=True).eval() + tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, trust_remote_code=True) + return model, tokenizer + + def generate(self, prompt, system_prompt=""): + """ + 生成对话响应 + + Args: + prompt (str): 对话的提示 + system_prompt (str, optional): 系统提示。默认为""。 + + Returns: + str: 对话响应 + """ + # TODO: 模型预测 + # 这一块需要尤其注意，这里的模板是借鉴了HuggingFace上的一些推理模板，需要根据自己的模型进行调整 + # 这里的模板主要是为了方便调试，因为模型预测的时候，会有很多不同的输入，所以可以根据自己的模型进行调整 + if self.mode != 'api': + try: + response, self.history = self.model.chat(self.tokenizer, prompt, history=self.history, system = system_prompt) + return response + except Exception as e: + print(e) + return "对不起，你的请求出错了，请再次尝试。\nSorry, your request has encountered an error. Please try again.\n" + else: + return self.predict_api(prompt) + + def predict_api(self, prompt): + """ + 使用API预测对话响应 + + Args: + prompt (str): 对话的提示 + + Returns: + str: 对话响应 + """ + '''暂时不写api版本,与Linly-api相类似,感兴趣可以实现一下''' + pass + + def chat(self, system_prompt, message): + response = self.generate(message, system_prompt) + self.history.append((message, response)) + return response, self.history + + def clear_history(self): + self.history = [] diff --git a/Linly-Talker/.cache/huggingface/.gitignore b/Linly-Talker/.cache/huggingface/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..f59ec20aabf5842d237244ece8c81ab184faeac1 --- /dev/null +++ b/Linly-Talker/.cache/huggingface/.gitignore @@ -0,0 +1 @@ +* \ No newline at end of file diff --git a/Linly-Talker/.cache/huggingface/download/.gitattributes.lock b/Linly-Talker/.cache/huggingface/download/.gitattributes.lock new file mode 100644 index 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+Yue Zhang \*, +Minhao Liu\*, +Zhaokang Chen, +Bin Wu†, +Yingjie He, +Chao Zhan, +Wenjiang Zhou +(*Equal Contribution, †Corresponding Author, benbinwu@tencent.com) + +**[github](https://github.com/TMElyralab/MuseTalk)** **[huggingface](https://huggingface.co/TMElyralab/MuseTalk)** **Project(comming soon)** **Technical report (comming soon)** + +We introduce `MuseTalk`, a **real-time high quality** lip-syncing model (30fps+ on an NVIDIA Tesla V100). MuseTalk can be applied with input videos, e.g., generated by [MuseV](https://github.com/TMElyralab/MuseV), as a complete virtual human solution. + +# Overview +`MuseTalk` is a real-time high quality audio-driven lip-syncing model trained in the latent space of `ft-mse-vae`, which + +1. modifies an unseen face according to the input audio, with a size of face region of `256 x 256`. +1. supports audio in various languages, such as Chinese, English, and Japanese. +1. supports real-time inference with 30fps+ on an NVIDIA Tesla V100. +1. supports modification of the center point of the face region proposes, which **SIGNIFICANTLY** affects generation results. +1. checkpoint available trained on the HDTF dataset. +1. training codes (comming soon). + +# News +- [04/02/2024] Released MuseTalk project and pretrained models. + +## Model +![Model Structure](assets/figs/musetalk_arc.jpg) +MuseTalk was trained in latent spaces, where the images were encoded by a freezed VAE. The audio was encoded by a freezed `whisper-tiny` model. The architecture of the generation network was borrowed from the UNet of the `stable-diffusion-v1-4`, where the audio embeddings were fused to the image embeddings by cross-attention. + +## Cases +### MuseV + MuseTalk make human photos alive！ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
ImageMuseV+MuseTalk
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+ +* The character of the last two rows, `Xinying Sun`, is a supermodel KOL. You can follow her on [douyin](https://www.douyin.com/user/MS4wLjABAAAAWDThbMPN_6Xmm_JgXexbOii1K-httbu2APdG8DvDyM8). + +## Video dubbing + + + + + + + + + +
MuseTalkOriginal videos
+ + + Link + +
+ +* For video dubbing, we applied a self-developed tool which can detect the talking person. + + +# TODO: +- [x] trained models and inference codes. +- [ ] technical report. +- [ ] training codes. +- [ ] online UI. +- [ ] a better model (may take longer). + + +# Getting Started +We provide a detailed tutorial about the installation and the basic usage of MuseTalk for new users: +## Installation +To prepare the Python environment and install additional packages such as opencv, diffusers, mmcv, etc., please follow the steps below: +### Build environment + +We recommend a python version >=3.10 and cuda version =11.7. Then build environment as follows: + +```shell +pip install -r requirements.txt +``` +### whisper +install whisper to extract audio feature (only encoder) +``` +pip install --editable ./musetalk/whisper +``` + +### mmlab packages +```bash +pip install --no-cache-dir -U openmim +mim install mmengine +mim install "mmcv>=2.0.1" +mim install "mmdet>=3.1.0" +mim install "mmpose>=1.1.0" +``` + +### Download ffmpeg-static +Download the ffmpeg-static and +``` +export FFMPEG_PATH=/path/to/ffmpeg +``` +for example: +``` +export FFMPEG_PATH=/musetalk/ffmpeg-4.4-amd64-static +``` +### Download weights +You can download weights manually as follows: + +1. Download our trained [weights](https://huggingface.co/TMElyralab/MuseTalk). + +2. Download the weights of other components: + - [sd-vae-ft-mse](https://huggingface.co/stabilityai/sd-vae-ft-mse) + - [whisper](https://openaipublic.azureedge.net/main/whisper/models/65147644a518d12f04e32d6f3b26facc3f8dd46e5390956a9424a650c0ce22b9/tiny.pt) + - [dwpose](https://huggingface.co/yzd-v/DWPose/tree/main) + - [face-parse-bisent](https://github.com/zllrunning/face-parsing.PyTorch) + - [resnet18](https://download.pytorch.org/models/resnet18-5c106cde.pth) + + +Finally, these weights should be organized in `models` as follows: +``` +./models/ +├── musetalk +│ └── musetalk.json +│ └── pytorch_model.bin +├── dwpose +│ └── dw-ll_ucoco_384.pth +├── face-parse-bisent +│ ├── 79999_iter.pth +│ └── resnet18-5c106cde.pth +├── sd-vae-ft-mse +│ ├── config.json +│ └── diffusion_pytorch_model.bin +└── whisper + └── tiny.pt +``` +## Quickstart + +### Inference +Here, we provide the inference script. +``` +python -m scripts.inference --inference_config configs/inference/test.yaml +``` +configs/inference/test.yaml is the path to the inference configuration file, including video_path and audio_path. +The video_path should be either a video file or a directory of images. + +#### Use of bbox_shift to have adjustable results +:mag_right: We have found that upper-bound of the mask has an important impact on mouth openness. Thus, to control the mask region, we suggest using the `bbox_shift` parameter. Positive values (moving towards the lower half) increase mouth openness, while negative values (moving towards the upper half) decrease mouth openness. + +You can start by running with the default configuration to obtain the adjustable value range, and then re-run the script within this range. + +For example, in the case of `Xinying Sun`, after running the default configuration, it shows that the adjustable value rage is [-9, 9]. Then, to decrease the mouth openness, we set the value to be `-7`. +``` +python -m scripts.inference --inference_config configs/inference/test.yaml --bbox_shift -7 +``` +:pushpin: More technical details can be found in [bbox_shift](assets/BBOX_SHIFT.md). + +#### Combining MuseV and MuseTalk + +As a complete solution to virtual human generation, you are suggested to first apply [MuseV](https://github.com/TMElyralab/MuseV) to generate a video (text-to-video, image-to-video or pose-to-video) by referring [this](https://github.com/TMElyralab/MuseV?tab=readme-ov-file#text2video). Then, you can use `MuseTalk` to generate a lip-sync video by referring [this](https://github.com/TMElyralab/MuseTalk?tab=readme-ov-file#inference). + +# Note + +If you want to launch online video chats, you are suggested to generate videos using MuseV and apply necessary pre-processing such as face detection in advance. During online chatting, only UNet and the VAE decoder are involved, which makes MuseTalk real-time. + + +# Acknowledgement +1. We thank open-source components like [whisper](https://github.com/isaacOnline/whisper/tree/extract-embeddings), [dwpose](https://github.com/IDEA-Research/DWPose), [face-alignment](https://github.com/1adrianb/face-alignment), [face-parsing](https://github.com/zllrunning/face-parsing.PyTorch), [S3FD](https://github.com/yxlijun/S3FD.pytorch). +1. MuseTalk has referred much to [diffusers](https://github.com/huggingface/diffusers). +1. MuseTalk has been built on `HDTF` datasets. + +Thanks for open-sourcing! + +# Limitations +- Resolution: Though MuseTalk uses a face region size of 256 x 256, which make it better than other open-source methods, it has not yet reached the theoretical resolution bound. We will continue to deal with this problem. +If you need higher resolution, you could apply super resolution models such as [GFPGAN](https://github.com/TencentARC/GFPGAN) in combination with MuseTalk. + +- Identity preservation: Some details of the original face are not well preserved, such as mustache, lip shape and color. + +- Jitter: There exists some jitter as the current pipeline adopts single-frame generation. + +# Citation +```bib +@article{musetalk, + title={MuseTalk: Real-Time High Quality Lip Synchorization with Latent Space Inpainting}, + author={Zhang, Yue and Liu, Minhao and Chen, Zhaokang and Wu, Bin and He, Yingjie and Zhan, Chao and Zhou, Wenjiang}, + journal={arxiv}, + year={2024} +} +``` +# Disclaimer/License +1. `code`: The code of MuseTalk is released under the MIT License. There is no limitation for both academic and commercial usage. +1. `model`: The trained model are available for any purpose, even commercially. +1. `other opensource model`: Other open-source models used must comply with their license, such as `whisper`, `ft-mse-vae`, `dwpose`, `S3FD`, etc.. +1. The testdata are collected from internet, which are available for non-commercial research purposes only. +1. `AIGC`: This project strives to impact the domain of AI-driven video generation positively. Users are granted the freedom to create videos using this tool, but they are expected to comply with local laws and utilize it responsibly. The developers do not assume any responsibility for potential misuse by users. \ No newline at end of file diff --git a/Linly-Talker/MuseTalk/dwpose/dw-ll_ucoco_384.pth b/Linly-Talker/MuseTalk/dwpose/dw-ll_ucoco_384.pth new file mode 100644 index 0000000000000000000000000000000000000000..c49c36077e9022019db86ae591ae20003689e99d --- /dev/null +++ b/Linly-Talker/MuseTalk/dwpose/dw-ll_ucoco_384.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0d9408b13cd863c4e95a149dd31232f88f2a12aa6cf8964ed74d7d97748c7a07 +size 406878486 diff --git a/Linly-Talker/MuseTalk/face-parse-bisent/79999_iter.pth b/Linly-Talker/MuseTalk/face-parse-bisent/79999_iter.pth new file mode 100644 index 0000000000000000000000000000000000000000..ca57f3257ca7715bc340d065764bc249d985c287 --- /dev/null +++ b/Linly-Talker/MuseTalk/face-parse-bisent/79999_iter.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:468e13ca13a9b43cc0881a9f99083a430e9c0a38abd935431d1c28ee94b26567 +size 53289463 diff --git a/Linly-Talker/MuseTalk/face-parse-bisent/resnet18-5c106cde.pth b/Linly-Talker/MuseTalk/face-parse-bisent/resnet18-5c106cde.pth new file mode 100644 index 0000000000000000000000000000000000000000..f432c3ad51f84df5837f2f38ac7972e6c2a15503 --- /dev/null +++ b/Linly-Talker/MuseTalk/face-parse-bisent/resnet18-5c106cde.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5c106cde386e87d4033832f2996f5493238eda96ccf559d1d62760c4de0613f8 +size 46827520 diff --git a/Linly-Talker/MuseTalk/musetalk/musetalk.json b/Linly-Talker/MuseTalk/musetalk/musetalk.json new file mode 100644 index 0000000000000000000000000000000000000000..b822db87e503a283fbbee73617f89dcd294cb91c --- /dev/null +++ b/Linly-Talker/MuseTalk/musetalk/musetalk.json @@ -0,0 +1,36 @@ +{ + "_class_name": "UNet2DConditionModel", + "_diffusers_version": "0.6.0.dev0", + "act_fn": "silu", + "attention_head_dim": 8, + "block_out_channels": [ + 320, + 640, + 1280, + 1280 + ], + "center_input_sample": false, + "cross_attention_dim": 384, + "down_block_types": [ + "CrossAttnDownBlock2D", + "CrossAttnDownBlock2D", + "CrossAttnDownBlock2D", + "DownBlock2D" + ], + "downsample_padding": 1, + "flip_sin_to_cos": true, + "freq_shift": 0, + "in_channels": 8, + "layers_per_block": 2, + "mid_block_scale_factor": 1, + "norm_eps": 1e-05, + "norm_num_groups": 32, + "out_channels": 4, + "sample_size": 64, + "up_block_types": [ + "UpBlock2D", + "CrossAttnUpBlock2D", + "CrossAttnUpBlock2D", + "CrossAttnUpBlock2D" + ] +} diff --git a/Linly-Talker/MuseTalk/musetalk/pytorch_model.bin b/Linly-Talker/MuseTalk/musetalk/pytorch_model.bin new file mode 100644 index 0000000000000000000000000000000000000000..47380c1e7002ad96eae4dab43d64958abcd5fed3 --- /dev/null +++ b/Linly-Talker/MuseTalk/musetalk/pytorch_model.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0ee7d5ea03ea75d8dca50ea7a76df791e90633687a135c4a69393abfc0475ffe +size 3400076549 diff --git a/Linly-Talker/MuseTalk/sd-vae-ft-mse/config.json b/Linly-Talker/MuseTalk/sd-vae-ft-mse/config.json new file mode 100644 index 0000000000000000000000000000000000000000..0db26717579be63eb0ddbf15b43faa43700dfe5a --- /dev/null +++ b/Linly-Talker/MuseTalk/sd-vae-ft-mse/config.json @@ -0,0 +1,29 @@ +{ + "_class_name": "AutoencoderKL", + "_diffusers_version": "0.4.2", + "act_fn": "silu", + "block_out_channels": [ + 128, + 256, + 512, + 512 + ], + "down_block_types": [ + "DownEncoderBlock2D", + "DownEncoderBlock2D", + "DownEncoderBlock2D", + "DownEncoderBlock2D" + ], + "in_channels": 3, + "latent_channels": 4, + "layers_per_block": 2, + "norm_num_groups": 32, + "out_channels": 3, + "sample_size": 256, + "up_block_types": [ + "UpDecoderBlock2D", + "UpDecoderBlock2D", + "UpDecoderBlock2D", + "UpDecoderBlock2D" + ] +} diff --git a/Linly-Talker/MuseTalk/sd-vae-ft-mse/diffusion_pytorch_model.bin b/Linly-Talker/MuseTalk/sd-vae-ft-mse/diffusion_pytorch_model.bin new file mode 100644 index 0000000000000000000000000000000000000000..ba36f34d64ad3be997b7cab94b0b9acd61272851 --- /dev/null +++ b/Linly-Talker/MuseTalk/sd-vae-ft-mse/diffusion_pytorch_model.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1b4889b6b1d4ce7ae320a02dedaeff1780ad77d415ea0d744b476155c6377ddc +size 334707217 diff --git a/Linly-Talker/MuseTalk/whisper/tiny.pt b/Linly-Talker/MuseTalk/whisper/tiny.pt new file mode 100644 index 0000000000000000000000000000000000000000..3c65524bfaea37a7dc6549f54062e7ae2fdedb8b --- /dev/null +++ b/Linly-Talker/MuseTalk/whisper/tiny.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:65147644a518d12f04e32d6f3b26facc3f8dd46e5390956a9424a650c0ce22b9 +size 75572083 diff --git a/Linly-Talker/README.md b/Linly-Talker/README.md new file mode 100644 index 0000000000000000000000000000000000000000..a7983f9150c8481bb022edff9436d43cd97992a0 --- /dev/null +++ b/Linly-Talker/README.md @@ -0,0 +1,342 @@ +# 数字人智能对话系统 - Linly-Talker — “数字人交互，与虚拟的自己互动” + +
+

Linly-Talker WebUI

+ + +[![madewithlove](https://img.shields.io/badge/made_with-%E2%9D%A4-red?style=for-the-badge&labelColor=orange)](https://github.com/Kedreamix/Linly-Talker) + +
+ +[![Open In Colab](https://img.shields.io/badge/Colab-F9AB00?style=for-the-badge&logo=googlecolab&color=525252)](https://colab.research.google.com/github/Kedreamix/Linly-Talker/blob/main/colab_webui.ipynb) +[![Licence](https://img.shields.io/badge/LICENSE-MIT-green.svg?style=for-the-badge)](https://github.com/Kedreamix/Linly-Talker/blob/main/LICENSE) +[![Huggingface](https://img.shields.io/badge/🤗%20-Models%20Repo-yellow.svg?style=for-the-badge)](https://huggingface.co/Kedreamix/Linly-Talker) + +[**English**](https://github.com/Kedreamix/Linly-Talker/blob/main/README.md) | [**中文简体**](https://github.com/Kedreamix/Linly-Talker/blob/main/README_zh.md) + +
+ + +**2023.12 更新** 📆 + +**用户可以上传任意图片进行对话** + +**2024.01 更新** 📆 + +- **令人兴奋的消息！我现在已经将强大的GeminiPro和Qwen大模型融入到我们的对话场景中。用户现在可以在对话中上传任何图片，为我们的互动增添了全新的层面。** +- **更新了FastAPI的部署调用方法。** +- **更新了微软TTS的高级设置选项，增加声音种类的多样性，以及加入视频字幕加强可视化。** +- **更新了GPT多轮对话系统，使得对话有上下文联系，提高数字人的交互性和真实感。** + +**2024.02 更新** 📆 + +- **更新了Gradio的版本为最新版本4.16.0，使得界面拥有更多的功能，比如可以摄像头拍摄图片构建数字人等。** +- **更新了ASR和THG，其中ASR加入了阿里的FunASR，具体更快的速度；THG部分加入了Wav2Lip模型，ER-NeRF在准备中(Comming Soon)。** +- **加入了语音克隆方法GPT-SoVITS模型，能够通过微调一分钟对应人的语料进行克隆，效果还是相当不错的，值得推荐。** +- **集成一个WebUI界面，能够更好的运行Linly-Talker。** + +**2024.04 更新** 📆 + +- **更新了除 Edge TTS的 Paddle TTS的离线方式。** +- **更新了ER-NeRF作为Avatar生成的选择之一。** +- **更新了app_talk.py，在不基于对话场景可自由上传语音和图片视频生成。** + +--- + +
+目录 + + + + +- [数字人对话系统 - Linly-Talker —— “数字人交互，与虚拟的自己互动”](#数字人对话系统---linly-talker--数字人交互与虚拟的自己互动) + - [介绍](#介绍) + - [TO DO LIST](#to-do-list) + - [示例](#示例) + - [创建环境](#创建环境) + - [ASR - Speech Recognition](#asr---speech-recognition) + - [Whisper](#whisper) + - [FunASR](#funasr) + - [TTS - Edge TTS](#tts---edge-tts) + - [Voice Clone](#voice-clone) + - [GPT-SoVITS（推荐）](#gpt-sovits推荐) + - [XTTS](#xtts) + - [THG - Avatar](#thg---avatar) + - [SadTalker](#sadtalker) + - [Wav2Lip](#wav2lip) + - [ER-NeRF（Comming Soon）](#er-nerfcomming-soon) + - [LLM - Conversation](#llm---conversation) + - [Linly-AI](#linly-ai) + - [Qwen](#qwen) + - [Gemini-Pro](#gemini-pro) + - [LLM 多模型选择](#llm-多模型选择) + - [优化](#优化) + - [Gradio](#gradio) + - [启动WebUI](#启动webui) + - [文件夹结构](#文件夹结构) + - [参考](#参考) + - [Star History](#star-history) + + + +
+ + + +## 介绍 + +Linly-Talker是一款创新的数字人对话系统，它融合了最新的人工智能技术，包括大型语言模型（LLM）、自动语音识别（ASR）、文本到语音转换（TTS）和语音克隆技术。这个系统通过Gradio平台提供了一个交互式的Web界面，允许用户上传图片与AI进行个性化的对话交流。 + +系统的核心特点包括： + +1. **多模型集成**：Linly-Talker整合了Linly、GeminiPro、Qwen等大模型，以及Whisper、SadTalker等视觉模型，实现了高质量的对话和视觉生成。 +2. **多轮对话能力**：通过GPT模型的多轮对话系统，Linly-Talker能够理解并维持上下文相关的连贯对话，极大地提升了交互的真实感。 +3. **语音克隆**：利用GPT-SoVITS等技术，用户可以上传一分钟的语音样本进行微调，系统将克隆用户的声音，使得数字人能够以用户的声音进行对话。 +4. **实时互动**：系统支持实时语音识别和视频字幕，使得用户可以通过语音与数字人进行自然的交流。 +5. **视觉增强**：通过数字人生成等技术，Linly-Talker能够生成逼真的数字人形象，提供更加沉浸式的体验。 + +Linly-Talker的设计理念是创造一种全新的人机交互方式，不仅仅是简单的问答，而是通过高度集成的技术，提供一个能够理解、响应并模拟人类交流的智能数字人。 + +![The system architecture of multimodal human–computer interaction.](https://github.com/Kedreamix/Linly-Talker/raw/main/docs/HOI.png) + +> 查看我们的介绍视频 [demo video](https://www.bilibili.com/video/BV1rN4y1a76x/) +> +> 在B站上我录了一系列视频，也代表我更新的每一步与使用方法，详细查看[数字人智能对话系统 - Linly-Talker合集](https://space.bilibili.com/241286257/channel/collectiondetail?sid=2065753) +> +> - [🔥🔥🔥数字人对话系统 Linly-Talker🔥🔥🔥](https://www.bilibili.com/video/BV1rN4y1a76x/) +> - [🚀数字人的未来：Linly-Talker+GPT-SoVIT语音克隆技术的赋能之道](https://www.bilibili.com/video/BV1S4421A7gh/) +> - [AutoDL平台部署Linly-Talker (0基础小白超详细教程)](https://www.bilibili.com/video/BV1uT421m74z/) +> - [Linly-Talker 更新离线TTS集成及定制数字人方案](https://www.bilibili.com/video/BV1Mr421u7NN/) + +## TO DO LIST + +- [x] 基本完成对话系统流程，能够`语音对话` +- [x] 加入了LLM大模型，包括`Linly`，`Qwen`和`GeminiPro`的使用 +- [x] 可上传`任意数字人照片`进行对话 +- [x] Linly加入`FastAPI`调用方式 +- [x] 利用微软`TTS`加入高级选项，可设置对应人声以及音调等参数，增加声音的多样性 +- [x] 视频生成加入`字幕`，能够更好的进行可视化 +- [x] GPT`多轮对话`系统（提高数字人的交互性和真实感，增强数字人的智能） +- [x] 优化Gradio界面，加入更多模型，如Wav2Lip，FunASR等 +- [x] `语音克隆`技术，加入GPT-SoVITS，只需要一分钟的语音简单微调即可（语音克隆合成自己声音，提高数字人分身的真实感和互动体验） +- [x] 加入离线TTS以及NeRF-based的方法和模型 +- [ ] `实时`语音识别（人与数字人之间就可以通过语音进行对话交流) + +🔆 该项目 Linly-Talker 正在进行中 - 欢迎提出PR请求！如果您有任何关于新的模型方法、研究、技术或发现运行错误的建议，请随时编辑并提交 PR。您也可以打开一个问题或通过电子邮件直接联系我。📩⭐ 如果您发现这个Github Project有用，请给它点个星！🤩 + +> 如果在部署的时候有任何的问题，可以关注[常见问题汇总.md](https://github.com/Kedreamix/Linly-Talker/blob/main/常见问题汇总.md)部分，我已经整理了可能出现的所有问题，另外交流群也在这里，我会定时更新，感谢大家的关注与使用！！！ + +###### 模型文件和权重，请浏览“模型文件”页面获取。 + + +接下来还需要安装对应的模型，有以下下载方式，下载后安装文件架结构放置，文件夹结构在本文最后有说明。 + +- [Baidu (百度云盘)](https://pan.baidu.com/s/1eF13O-8wyw4B3MtesctQyg?pwd=linl) (Password: `linl`) +- [huggingface](https://huggingface.co/Kedreamix/Linly-Talker) +- [modelscope](https://www.modelscope.cn/models/Kedreamix/Linly-Talker/summary) + +**HuggingFace下载** + +如果速度太慢可以考虑镜像，参考[简便快捷获取 Hugging Face 模型（使用镜像站点）](https://kedreamix.github.io/2024/01/05/Note/HuggingFace/?highlight=镜像) + +```bash +# 从huggingface下载预训练模型 +git lfs install +git clone https://huggingface.co/Kedreamix/Linly-Talker +``` + +**ModelScope下载** + +```bash +# 从modelscope下载预训练模型 +# 1. git 方法 +git lfs install +git clone https://www.modelscope.cn/Kedreamix/Linly-Talker.git + +# 2. Python 代码下载 +pip install modelscope +from modelscope import snapshot_download +model_dir = snapshot_download('Kedreamix/Linly-Talker') +``` + +**移动所有模型到当前目录** + +如果百度网盘下载后，可以参考文档最后目录结构来移动 + +```bash +# 移动所有模型到当前目录 +# checkpoint中含有SadTalker和Wav2Lip +mv Linly-Talker/checkpoints/* ./checkpoints + +# SadTalker的增强GFPGAN +# pip install gfpgan +# mv Linly-Talker/gfpan ./ + +# 语音克隆模型 +mv Linly-Talker/GPT_SoVITS/pretrained_models/* ./GPT_SoVITS/pretrained_models/ + +# Qwen大模型 +mv Linly-Talker/Qwen ./ +``` + +为了大家的部署使用方便，更新了一个`configs.py`文件，可以对其进行一些超参数修改即可 + +```bash +# 设备运行端口 (Device running port) +port = 7860 +# api运行端口及IP (API running port and IP) +mode = 'api' # api 需要先运行Linly-api-fast.py，暂时仅仅适用于Linly + +# 本地端口localhost:127.0.0.1 全局端口转发:"0.0.0.0" +ip = '127.0.0.1' +api_port = 7871 + +# L模型路径 (Linly model path) +mode = 'offline' +model_path = 'Qwen/Qwen-1_8B-Chat' + +# ssl证书 (SSL certificate) 麦克风对话需要此参数 +# 最好调整为绝对路径 +ssl_certfile = "./https_cert/cert.pem" +ssl_keyfile = "./https_cert/key.pem" +``` + +## 启动WebUI + +之前我将很多个版本都是分开来的，实际上运行多个会比较麻烦，所以后续我增加了变成WebUI一个界面即可体验，后续也会不断更新 + +现在已加入WebUI的功能如下 + +- [x] 文本/语音数字人对话（固定数字人，分男女角色） +- [x] 任意图片数字人对话（可上传任意数字人） +- [x] 多轮GPT对话（加入历史对话数据，链接上下文） +- [x] 语音克隆对话（基于GPT-SoVITS设置进行语音克隆，内置烟嗓音，可根据语音对话的声音进行克隆） + +```bash +# WebUI +python webui.py +``` + +![](https://github.com/Kedreamix/Linly-Talker/raw/main/docs/WebUI.png) + + + +现在的启动一共有几种模式，可以选择特定的场景进行设置 + +第一种只有固定了人物问答，设置好了人物，省去了预处理时间 + +```bash +python app.py +``` + +![](https://github.com/Kedreamix/Linly-Talker/raw/main/docs/UI.png) + +最近更新了第一种模式，加入了Wav2Lip模型进行对话 + +```bash +python appv2.py +``` + +第二种是可以任意上传图片进行对话 + +```bash +python app_img.py +``` + +![](https://github.com/Kedreamix/Linly-Talker/raw/main/docs/UI2.png) + +第三种是在第一种的基础上加入了大语言模型，加入了多轮的GPT对话 + +```bash +python app_multi.py +``` + +![](https://github.com/Kedreamix/Linly-Talker/raw/main/docs/UI3.png) + +现在加入了语音克隆的部分，可以自由切换自己克隆的声音模型和对应的人图片进行实现，这里我选择了一个烟嗓音和男生图片 + +```bash +python app_vits.py +``` + +加入了第四种方式，不固定场景进行对话，直接输入语音或者生成语音进行数字人生成，内置了Sadtalker，Wav2Lip，ER-NeRF等方式 + +> ER-NeRF是针对单独一个人的视频进行训练的，所以需要替换特定的模型才能进行渲染得到正确的结果，内置了Obama的权重，可直接用 + +```bash +python app_talk.py +``` + +![](https://github.com/Kedreamix/Linly-Talker/raw/main/docs/UI4.png) + +## 文件夹结构 + +所有的权重部分可以从这下载 + +- [Baidu (百度云盘)](https://pan.baidu.com/s/1eF13O-8wyw4B3MtesctQyg?pwd=linl) (Password: `linl`) +- [huggingface](https://huggingface.co/Kedreamix/Linly-Talker) +- [modelscope](https://www.modelscope.cn/models/Kedreamix/Linly-Talker/files) comming soon + +权重文件夹结构如下 + +```bash +Linly-Talker/ +├── checkpoints +│   ├── hub +│   │   └── checkpoints +│   │   └── s3fd-619a316812.pth +│   ├── lipsync_expert.pth +│   ├── mapping_00109-model.pth.tar +│   ├── mapping_00229-model.pth.tar +│   ├── SadTalker_V0.0.2_256.safetensors +│   ├── visual_quality_disc.pth +│   ├── wav2lip_gan.pth +│   └── wav2lip.pth +├── gfpgan +│   └── weights +│   ├── alignment_WFLW_4HG.pth +│   └── detection_Resnet50_Final.pth +├── GPT_SoVITS +│   └── pretrained_models +│   ├── chinese-hubert-base +│   │   ├── config.json +│   │   ├── preprocessor_config.json +│   │   └── pytorch_model.bin +│   ├── chinese-roberta-wwm-ext-large +│   │   ├── config.json +│   │   ├── pytorch_model.bin +│   │   └── tokenizer.json +│   ├── README.md +│   ├── s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt +│   ├── s2D488k.pth +│   ├── s2G488k.pth +│   └── speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch +├── Qwen +│   └── Qwen-1_8B-Chat +│   ├── assets +│   │   ├── logo.jpg +│   │   ├── qwen_tokenizer.png +│   │   ├── react_showcase_001.png +│   │   ├── react_showcase_002.png +│   │   └── wechat.png +│   ├── cache_autogptq_cuda_256.cpp +│   ├── cache_autogptq_cuda_kernel_256.cu +│   ├── config.json +│   ├── configuration_qwen.py +│   ├── cpp_kernels.py +│   ├── examples +│   │   └── react_prompt.md +│   ├── generation_config.json +│   ├── LICENSE +│   ├── model-00001-of-00002.safetensors +│   ├── model-00002-of-00002.safetensors +│   ├── modeling_qwen.py +│   ├── model.safetensors.index.json +│   ├── NOTICE +│   ├── qwen_generation_utils.py +│   ├── qwen.tiktoken +│   ├── README.md +│   ├── tokenization_qwen.py +│   └── tokenizer_config.json +└── README.md +``` diff --git a/Musetalk/configs/inference/realtime.yaml b/Musetalk/configs/inference/realtime.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a7c4c9ec0eae1b499718d88ffed04779d3fd3087 --- /dev/null +++ b/Musetalk/configs/inference/realtime.yaml @@ -0,0 +1,10 @@ +avator_1: + preparation: False + bbox_shift: 5 + video_path: "data/video/sun.mp4" + audio_clips: + audio_0: "data/audio/yongen.wav" + # audio_1: "data/audio/sun.wav" + + + diff --git a/Musetalk/configs/inference/test.yaml b/Musetalk/configs/inference/test.yaml new file mode 100644 index 0000000000000000000000000000000000000000..4ec8aca99e7f761ab392d611b6730683b285a49b --- /dev/null +++ b/Musetalk/configs/inference/test.yaml @@ -0,0 +1,10 @@ +task_0: + video_path: "data/video/yongen.mp4" + audio_path: "data/audio/yongen.wav" + +task_1: + video_path: "data/video/sun.mp4" + audio_path: "data/audio/sun.wav" + bbox_shift: -7 + + diff --git a/Musetalk/data/video/man_musev.mp4 b/Musetalk/data/video/man_musev.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..93a295ac027a2b0f4b7f398c5bb57e1c2df23fef --- /dev/null +++ b/Musetalk/data/video/man_musev.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2f3cdef1728c55fdae2267070bb5a9fb0b2cba8f12e7baf72fa2eb15c842012f +size 2332208 diff --git a/Musetalk/data/video/monalisa_musev.mp4 b/Musetalk/data/video/monalisa_musev.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..e7096d247c8ef48102852dd1ee8fc1f2f1031ce3 --- /dev/null +++ b/Musetalk/data/video/monalisa_musev.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:110f950323b6107ca6a84612108b06902060bf05be2c4e43c387e18e1f27e28c +size 2116777 diff --git a/Musetalk/data/video/musk_musev.mp4 b/Musetalk/data/video/musk_musev.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..e7e3820f6c86e0c6939c32359d252d84b8a38212 Binary files /dev/null and b/Musetalk/data/video/musk_musev.mp4 differ diff --git a/Musetalk/data/video/seaside4_musev.mp4 b/Musetalk/data/video/seaside4_musev.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..709d5c5aa865eb4af1e4648e945882f7974fb21c --- /dev/null +++ b/Musetalk/data/video/seaside4_musev.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d8355786c16e0599fd8d9ddde1af5a8ab22387681ba46d35389a6e1edb76584d +size 18601524 diff --git a/Musetalk/data/video/sit_musev.mp4 b/Musetalk/data/video/sit_musev.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..0f71968cd8bfb3d9aef5235bcbebc66ce2403190 --- /dev/null +++ b/Musetalk/data/video/sit_musev.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:287bcbe04afa7b3c22d7adcf10e71ff830d3597f1f2413e40e62c8e6a10c5c4b +size 1024200 diff --git a/Musetalk/data/video/sun_musev.mp4 b/Musetalk/data/video/sun_musev.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..fa9460ee9f012bd29974a2ad547225d44f2e6b12 --- /dev/null +++ b/Musetalk/data/video/sun_musev.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9f240982090f4255a7589e3cd67b4219be7820f9eb9a7461fc915eb5f0c8e075 +size 2217973 diff --git a/Musetalk/data/video/yongen_musev.mp4 b/Musetalk/data/video/yongen_musev.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..e0c54501be8055a95846c29e71216ac5d396dbf6 --- /dev/null +++ b/Musetalk/data/video/yongen_musev.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1effa976d410571cd185554779d6d43a6ba636e0e3401385db1d607daa46441f +size 1870923 diff --git a/Musetalk/models/README.md b/Musetalk/models/README.md new file mode 100644 index 0000000000000000000000000000000000000000..74e11fb4b681253f7fe73d9c4b80ec0021949213 --- /dev/null +++ b/Musetalk/models/README.md @@ -0,0 +1,259 @@ +--- +license: creativeml-openrail-m +language: +- en +--- +# MuseTalk + +MuseTalk: Real-Time High Quality Lip Synchronization with Latent Space Inpainting +
+Yue Zhang \*, +Minhao Liu\*, +Zhaokang Chen, +Bin Wu†, +Yingjie He, +Chao Zhan, +Wenjiang Zhou +(*Equal Contribution, †Corresponding Author, benbinwu@tencent.com) + +**[github](https://github.com/TMElyralab/MuseTalk)** **[huggingface](https://huggingface.co/TMElyralab/MuseTalk)** **Project(comming soon)** **Technical report (comming soon)** + +We introduce `MuseTalk`, a **real-time high quality** lip-syncing model (30fps+ on an NVIDIA Tesla V100). MuseTalk can be applied with input videos, e.g., generated by [MuseV](https://github.com/TMElyralab/MuseV), as a complete virtual human solution. + +# Overview +`MuseTalk` is a real-time high quality audio-driven lip-syncing model trained in the latent space of `ft-mse-vae`, which + +1. modifies an unseen face according to the input audio, with a size of face region of `256 x 256`. +1. supports audio in various languages, such as Chinese, English, and Japanese. +1. supports real-time inference with 30fps+ on an NVIDIA Tesla V100. +1. supports modification of the center point of the face region proposes, which **SIGNIFICANTLY** affects generation results. +1. checkpoint available trained on the HDTF dataset. +1. training codes (comming soon). + +# News +- [04/02/2024] Released MuseTalk project and pretrained models. + +## Model +![Model Structure](assets/figs/musetalk_arc.jpg) +MuseTalk was trained in latent spaces, where the images were encoded by a freezed VAE. The audio was encoded by a freezed `whisper-tiny` model. The architecture of the generation network was borrowed from the UNet of the `stable-diffusion-v1-4`, where the audio embeddings were fused to the image embeddings by cross-attention. + +## Cases +### MuseV + MuseTalk make human photos alive！ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
ImageMuseV+MuseTalk
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+ + + + + +
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+ +* The character of the last two rows, `Xinying Sun`, is a supermodel KOL. You can follow her on [douyin](https://www.douyin.com/user/MS4wLjABAAAAWDThbMPN_6Xmm_JgXexbOii1K-httbu2APdG8DvDyM8). + +## Video dubbing + + + + + + + + + +
MuseTalkOriginal videos
+ + + Link + +
+ +* For video dubbing, we applied a self-developed tool which can detect the talking person. + + +# TODO: +- [x] trained models and inference codes. +- [ ] technical report. +- [ ] training codes. +- [ ] online UI. +- [ ] a better model (may take longer). + + +# Getting Started +We provide a detailed tutorial about the installation and the basic usage of MuseTalk for new users: +## Installation +To prepare the Python environment and install additional packages such as opencv, diffusers, mmcv, etc., please follow the steps below: +### Build environment + +We recommend a python version >=3.10 and cuda version =11.7. Then build environment as follows: + +```shell +pip install -r requirements.txt +``` +### whisper +install whisper to extract audio feature (only encoder) +``` +pip install --editable ./musetalk/whisper +``` + +### mmlab packages +```bash +pip install --no-cache-dir -U openmim +mim install mmengine +mim install "mmcv>=2.0.1" +mim install "mmdet>=3.1.0" +mim install "mmpose>=1.1.0" +``` + +### Download ffmpeg-static +Download the ffmpeg-static and +``` +export FFMPEG_PATH=/path/to/ffmpeg +``` +for example: +``` +export FFMPEG_PATH=/musetalk/ffmpeg-4.4-amd64-static +``` +### Download weights +You can download weights manually as follows: + +1. Download our trained [weights](https://huggingface.co/TMElyralab/MuseTalk). + +2. Download the weights of other components: + - [sd-vae-ft-mse](https://huggingface.co/stabilityai/sd-vae-ft-mse) + - [whisper](https://openaipublic.azureedge.net/main/whisper/models/65147644a518d12f04e32d6f3b26facc3f8dd46e5390956a9424a650c0ce22b9/tiny.pt) + - [dwpose](https://huggingface.co/yzd-v/DWPose/tree/main) + - [face-parse-bisent](https://github.com/zllrunning/face-parsing.PyTorch) + - [resnet18](https://download.pytorch.org/models/resnet18-5c106cde.pth) + + +Finally, these weights should be organized in `models` as follows: +``` +./models/ +├── musetalk +│ └── musetalk.json +│ └── pytorch_model.bin +├── dwpose +│ └── dw-ll_ucoco_384.pth +├── face-parse-bisent +│ ├── 79999_iter.pth +│ └── resnet18-5c106cde.pth +├── sd-vae-ft-mse +│ ├── config.json +│ └── diffusion_pytorch_model.bin +└── whisper + └── tiny.pt +``` +## Quickstart + +### Inference +Here, we provide the inference script. +``` +python -m scripts.inference --inference_config configs/inference/test.yaml +``` +configs/inference/test.yaml is the path to the inference configuration file, including video_path and audio_path. +The video_path should be either a video file or a directory of images. + +#### Use of bbox_shift to have adjustable results +:mag_right: We have found that upper-bound of the mask has an important impact on mouth openness. Thus, to control the mask region, we suggest using the `bbox_shift` parameter. Positive values (moving towards the lower half) increase mouth openness, while negative values (moving towards the upper half) decrease mouth openness. + +You can start by running with the default configuration to obtain the adjustable value range, and then re-run the script within this range. + +For example, in the case of `Xinying Sun`, after running the default configuration, it shows that the adjustable value rage is [-9, 9]. Then, to decrease the mouth openness, we set the value to be `-7`. +``` +python -m scripts.inference --inference_config configs/inference/test.yaml --bbox_shift -7 +``` +:pushpin: More technical details can be found in [bbox_shift](assets/BBOX_SHIFT.md). + +#### Combining MuseV and MuseTalk + +As a complete solution to virtual human generation, you are suggested to first apply [MuseV](https://github.com/TMElyralab/MuseV) to generate a video (text-to-video, image-to-video or pose-to-video) by referring [this](https://github.com/TMElyralab/MuseV?tab=readme-ov-file#text2video). Then, you can use `MuseTalk` to generate a lip-sync video by referring [this](https://github.com/TMElyralab/MuseTalk?tab=readme-ov-file#inference). + +# Note + +If you want to launch online video chats, you are suggested to generate videos using MuseV and apply necessary pre-processing such as face detection in advance. During online chatting, only UNet and the VAE decoder are involved, which makes MuseTalk real-time. + + +# Acknowledgement +1. We thank open-source components like [whisper](https://github.com/isaacOnline/whisper/tree/extract-embeddings), [dwpose](https://github.com/IDEA-Research/DWPose), [face-alignment](https://github.com/1adrianb/face-alignment), [face-parsing](https://github.com/zllrunning/face-parsing.PyTorch), [S3FD](https://github.com/yxlijun/S3FD.pytorch). +1. MuseTalk has referred much to [diffusers](https://github.com/huggingface/diffusers). +1. MuseTalk has been built on `HDTF` datasets. + +Thanks for open-sourcing! + +# Limitations +- Resolution: Though MuseTalk uses a face region size of 256 x 256, which make it better than other open-source methods, it has not yet reached the theoretical resolution bound. We will continue to deal with this problem. +If you need higher resolution, you could apply super resolution models such as [GFPGAN](https://github.com/TencentARC/GFPGAN) in combination with MuseTalk. + +- Identity preservation: Some details of the original face are not well preserved, such as mustache, lip shape and color. + +- Jitter: There exists some jitter as the current pipeline adopts single-frame generation. + +# Citation +```bib +@article{musetalk, + title={MuseTalk: Real-Time High Quality Lip Synchorization with Latent Space Inpainting}, + author={Zhang, Yue and Liu, Minhao and Chen, Zhaokang and Wu, Bin and He, Yingjie and Zhan, Chao and Zhou, Wenjiang}, + journal={arxiv}, + year={2024} +} +``` +# Disclaimer/License +1. `code`: The code of MuseTalk is released under the MIT License. There is no limitation for both academic and commercial usage. +1. `model`: The trained model are available for any purpose, even commercially. +1. `other opensource model`: Other open-source models used must comply with their license, such as `whisper`, `ft-mse-vae`, `dwpose`, `S3FD`, etc.. +1. The testdata are collected from internet, which are available for non-commercial research purposes only. +1. `AIGC`: This project strives to impact the domain of AI-driven video generation positively. Users are granted the freedom to create videos using this tool, but they are expected to comply with local laws and utilize it responsibly. The developers do not assume any responsibility for potential misuse by users. \ No newline at end of file diff --git a/Musetalk/models/dwpose/dw-ll_ucoco_384.pth b/Musetalk/models/dwpose/dw-ll_ucoco_384.pth new file mode 100644 index 0000000000000000000000000000000000000000..c49c36077e9022019db86ae591ae20003689e99d --- /dev/null +++ b/Musetalk/models/dwpose/dw-ll_ucoco_384.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0d9408b13cd863c4e95a149dd31232f88f2a12aa6cf8964ed74d7d97748c7a07 +size 406878486 diff --git a/Musetalk/models/face-parse-bisent/79999_iter.pth b/Musetalk/models/face-parse-bisent/79999_iter.pth new file mode 100644 index 0000000000000000000000000000000000000000..ca57f3257ca7715bc340d065764bc249d985c287 --- /dev/null +++ b/Musetalk/models/face-parse-bisent/79999_iter.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:468e13ca13a9b43cc0881a9f99083a430e9c0a38abd935431d1c28ee94b26567 +size 53289463 diff --git a/Musetalk/models/face-parse-bisent/resnet18-5c106cde.pth b/Musetalk/models/face-parse-bisent/resnet18-5c106cde.pth new file mode 100644 index 0000000000000000000000000000000000000000..f432c3ad51f84df5837f2f38ac7972e6c2a15503 --- /dev/null +++ b/Musetalk/models/face-parse-bisent/resnet18-5c106cde.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5c106cde386e87d4033832f2996f5493238eda96ccf559d1d62760c4de0613f8 +size 46827520 diff --git a/Musetalk/models/musetalk/musetalk.json b/Musetalk/models/musetalk/musetalk.json new file mode 100644 index 0000000000000000000000000000000000000000..b822db87e503a283fbbee73617f89dcd294cb91c --- /dev/null +++ b/Musetalk/models/musetalk/musetalk.json @@ -0,0 +1,36 @@ +{ + "_class_name": "UNet2DConditionModel", + "_diffusers_version": "0.6.0.dev0", + "act_fn": "silu", + "attention_head_dim": 8, + "block_out_channels": [ + 320, + 640, + 1280, + 1280 + ], + "center_input_sample": false, + "cross_attention_dim": 384, + "down_block_types": [ + "CrossAttnDownBlock2D", + "CrossAttnDownBlock2D", + "CrossAttnDownBlock2D", + "DownBlock2D" + ], + "downsample_padding": 1, + "flip_sin_to_cos": true, + "freq_shift": 0, + "in_channels": 8, + "layers_per_block": 2, + "mid_block_scale_factor": 1, + "norm_eps": 1e-05, + "norm_num_groups": 32, + "out_channels": 4, + "sample_size": 64, + "up_block_types": [ + "UpBlock2D", + "CrossAttnUpBlock2D", + "CrossAttnUpBlock2D", + "CrossAttnUpBlock2D" + ] +} diff --git a/Musetalk/models/musetalk/pytorch_model.bin b/Musetalk/models/musetalk/pytorch_model.bin new file mode 100644 index 0000000000000000000000000000000000000000..47380c1e7002ad96eae4dab43d64958abcd5fed3 --- /dev/null +++ b/Musetalk/models/musetalk/pytorch_model.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0ee7d5ea03ea75d8dca50ea7a76df791e90633687a135c4a69393abfc0475ffe +size 3400076549 diff --git a/Musetalk/models/sd-vae-ft-mse/config.json b/Musetalk/models/sd-vae-ft-mse/config.json new file mode 100644 index 0000000000000000000000000000000000000000..0db26717579be63eb0ddbf15b43faa43700dfe5a --- /dev/null +++ b/Musetalk/models/sd-vae-ft-mse/config.json @@ -0,0 +1,29 @@ +{ + "_class_name": "AutoencoderKL", + "_diffusers_version": "0.4.2", + "act_fn": "silu", + "block_out_channels": [ + 128, + 256, + 512, + 512 + ], + "down_block_types": [ + "DownEncoderBlock2D", + "DownEncoderBlock2D", + "DownEncoderBlock2D", + "DownEncoderBlock2D" + ], + "in_channels": 3, + "latent_channels": 4, + "layers_per_block": 2, + "norm_num_groups": 32, + "out_channels": 3, + "sample_size": 256, + "up_block_types": [ + "UpDecoderBlock2D", + "UpDecoderBlock2D", + "UpDecoderBlock2D", + "UpDecoderBlock2D" + ] +} diff --git a/Musetalk/models/sd-vae-ft-mse/diffusion_pytorch_model.bin b/Musetalk/models/sd-vae-ft-mse/diffusion_pytorch_model.bin new file mode 100644 index 0000000000000000000000000000000000000000..ba36f34d64ad3be997b7cab94b0b9acd61272851 --- /dev/null +++ b/Musetalk/models/sd-vae-ft-mse/diffusion_pytorch_model.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1b4889b6b1d4ce7ae320a02dedaeff1780ad77d415ea0d744b476155c6377ddc +size 334707217 diff --git a/Musetalk/models/whisper/tiny.pt b/Musetalk/models/whisper/tiny.pt new file mode 100644 index 0000000000000000000000000000000000000000..3c65524bfaea37a7dc6549f54062e7ae2fdedb8b --- /dev/null +++ b/Musetalk/models/whisper/tiny.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:65147644a518d12f04e32d6f3b26facc3f8dd46e5390956a9424a650c0ce22b9 +size 75572083 diff --git a/Musetalk/musetalk/models/unet.py b/Musetalk/musetalk/models/unet.py new file mode 100644 index 0000000000000000000000000000000000000000..2bcc2b056db74437784ed8a53b929d652b3a552b --- /dev/null +++ b/Musetalk/musetalk/models/unet.py @@ -0,0 +1,47 @@ +import torch +import torch.nn as nn +import math +import json + +from diffusers import UNet2DConditionModel +import sys +import time +import numpy as np +import os + +class PositionalEncoding(nn.Module): + def __init__(self, d_model=384, max_len=5000): + super(PositionalEncoding, self).__init__() + pe = torch.zeros(max_len, d_model) + position = torch.arange(0, max_len, dtype=torch.float).unsqueeze(1) + div_term = torch.exp(torch.arange(0, d_model, 2).float() * (-math.log(10000.0) / d_model)) + pe[:, 0::2] = torch.sin(position * div_term) + pe[:, 1::2] = torch.cos(position * div_term) + pe = pe.unsqueeze(0) + self.register_buffer('pe', pe) + + def forward(self, x): + b, seq_len, d_model = x.size() + pe = self.pe[:, :seq_len, :] + x = x + pe.to(x.device) + return x + +class UNet(): + def __init__(self, + unet_config, + model_path, + use_float16=False, + ): + with open(unet_config, 'r') as f: + unet_config = json.load(f) + self.model = UNet2DConditionModel(**unet_config) + self.pe = PositionalEncoding(d_model=384) + self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu") + weights = torch.load(model_path) if torch.cuda.is_available() else torch.load(model_path, map_location=self.device) + self.model.load_state_dict(weights) + if use_float16: + self.model = self.model.half() + self.model.to(self.device) + +if __name__ == "__main__": + unet = UNet() diff --git a/Musetalk/musetalk/models/vae.py b/Musetalk/musetalk/models/vae.py new file mode 100644 index 0000000000000000000000000000000000000000..51efef420f46ec0dc01d5c8ac12825e6e4c355c0 --- /dev/null +++ b/Musetalk/musetalk/models/vae.py @@ -0,0 +1,148 @@ +from diffusers import AutoencoderKL +import torch +import torchvision.transforms as transforms +import torch.nn.functional as F +import cv2 +import numpy as np +from PIL import Image +import os + +class VAE(): + """ + VAE (Variational Autoencoder) class for image processing. + """ + + def __init__(self, model_path="./models/sd-vae-ft-mse/", resized_img=256, use_float16=False): + """ + Initialize the VAE instance. + + :param model_path: Path to the trained model. + :param resized_img: The size to which images are resized. + :param use_float16: Whether to use float16 precision. + """ + self.model_path = model_path + self.vae = AutoencoderKL.from_pretrained(self.model_path) + + self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu") + self.vae.to(self.device) + + if use_float16: + self.vae = self.vae.half() + self._use_float16 = True + else: + self._use_float16 = False + + self.scaling_factor = self.vae.config.scaling_factor + self.transform = transforms.Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5]) + self._resized_img = resized_img + self._mask_tensor = self.get_mask_tensor() + + def get_mask_tensor(self): + """ + Creates a mask tensor for image processing. + :return: A mask tensor. + """ + mask_tensor = torch.zeros((self._resized_img,self._resized_img)) + mask_tensor[:self._resized_img//2,:] = 1 + mask_tensor[mask_tensor< 0.5] = 0 + mask_tensor[mask_tensor>= 0.5] = 1 + return mask_tensor + + def preprocess_img(self,img_name,half_mask=False): + """ + Preprocess an image for the VAE. + + :param img_name: The image file path or a list of image file paths. + :param half_mask: Whether to apply a half mask to the image. + :return: A preprocessed image tensor. + """ + window = [] + if isinstance(img_name, str): + window_fnames = [img_name] + for fname in window_fnames: + img = cv2.imread(fname) + img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) + img = cv2.resize(img, (self._resized_img, self._resized_img), + interpolation=cv2.INTER_LANCZOS4) + window.append(img) + else: + img = cv2.cvtColor(img_name, cv2.COLOR_BGR2RGB) + window.append(img) + + x = np.asarray(window) / 255. + x = np.transpose(x, (3, 0, 1, 2)) + x = torch.squeeze(torch.FloatTensor(x)) + if half_mask: + x = x * (self._mask_tensor>0.5) + x = self.transform(x) + + x = x.unsqueeze(0) # [1, 3, 256, 256] torch tensor + x = x.to(self.vae.device) + + return x + + def encode_latents(self,image): + """ + Encode an image into latent variables. + + :param image: The image tensor to encode. + :return: The encoded latent variables. + """ + with torch.no_grad(): + init_latent_dist = self.vae.encode(image.to(self.vae.dtype)).latent_dist + init_latents = self.scaling_factor * init_latent_dist.sample() + return init_latents + + def decode_latents(self, latents): + """ + Decode latent variables back into an image. + :param latents: The latent variables to decode. + :return: A NumPy array representing the decoded image. + """ + latents = (1/ self.scaling_factor) * latents + image = self.vae.decode(latents.to(self.vae.dtype)).sample + image = (image / 2 + 0.5).clamp(0, 1) + image = image.detach().cpu().permute(0, 2, 3, 1).float().numpy() + image = (image * 255).round().astype("uint8") + image = image[...,::-1] # RGB to BGR + return image + + def get_latents_for_unet(self,img): + """ + Prepare latent variables for a U-Net model. + :param img: The image to process. + :return: A concatenated tensor of latents for U-Net input. + """ + + ref_image = self.preprocess_img(img,half_mask=True) # [1, 3, 256, 256] RGB, torch tensor + masked_latents = self.encode_latents(ref_image) # [1, 4, 32, 32], torch tensor + ref_image = self.preprocess_img(img,half_mask=False) # [1, 3, 256, 256] RGB, torch tensor + ref_latents = self.encode_latents(ref_image) # [1, 4, 32, 32], torch tensor + latent_model_input = torch.cat([masked_latents, ref_latents], dim=1) + return latent_model_input + +if __name__ == "__main__": + vae_mode_path = "./models/sd-vae-ft-mse/" + vae = VAE(model_path = vae_mode_path,use_float16=False) + img_path = "./results/sun001_crop/00000.png" + + crop_imgs_path = "./results/sun001_crop/" + latents_out_path = "./results/latents/" + if not os.path.exists(latents_out_path): + os.mkdir(latents_out_path) + + files = os.listdir(crop_imgs_path) + files.sort() + files = [file for file in files if file.split(".")[-1] == "png"] + + for file in files: + index = file.split(".")[0] + img_path = crop_imgs_path + file + latents = vae.get_latents_for_unet(img_path) + print(img_path,"latents",latents.size()) + #torch.save(latents,os.path.join(latents_out_path,index+".pt")) + #reload_tensor = torch.load('tensor.pt') + #print(reload_tensor.size()) + + + \ No newline at end of file diff --git a/Musetalk/musetalk/utils/__init__.py b/Musetalk/musetalk/utils/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..b58c41d239fae3136e82e0d680cd7ab4e9f78aaf --- /dev/null +++ b/Musetalk/musetalk/utils/__init__.py @@ -0,0 +1,5 @@ +import sys +from os.path import abspath, dirname +current_dir = dirname(abspath(__file__)) +parent_dir = dirname(current_dir) +sys.path.append(parent_dir+'/utils') diff --git a/Musetalk/musetalk/utils/blending.py b/Musetalk/musetalk/utils/blending.py new file mode 100644 index 0000000000000000000000000000000000000000..d69e43576b08b9533102f35c7b4edffa88b54d99 --- /dev/null +++ b/Musetalk/musetalk/utils/blending.py @@ -0,0 +1,100 @@ +from PIL import Image +import numpy as np +import cv2 +from face_parsing import FaceParsing + +fp = FaceParsing() + +def get_crop_box(box, expand): + x, y, x1, y1 = box + x_c, y_c = (x+x1)//2, (y+y1)//2 + w, h = x1-x, y1-y + s = int(max(w, h)//2*expand) + crop_box = [x_c-s, y_c-s, x_c+s, y_c+s] + return crop_box, s + +def face_seg(image): + seg_image = fp(image) + if seg_image is None: + print("error, no person_segment") + return None + + seg_image = seg_image.resize(image.size) + return seg_image + +def get_image(image,face,face_box,upper_boundary_ratio = 0.5,expand=1.2): + #print(image.shape) + #print(face.shape) + + body = Image.fromarray(image[:,:,::-1]) + face = Image.fromarray(face[:,:,::-1]) + + x, y, x1, y1 = face_box + #print(x1-x,y1-y) + crop_box, s = get_crop_box(face_box, expand) + x_s, y_s, x_e, y_e = crop_box + face_position = (x, y) + + face_large = body.crop(crop_box) + ori_shape = face_large.size + + mask_image = face_seg(face_large) + mask_small = mask_image.crop((x-x_s, y-y_s, x1-x_s, y1-y_s)) + mask_image = Image.new('L', ori_shape, 0) + mask_image.paste(mask_small, (x-x_s, y-y_s, x1-x_s, y1-y_s)) + + # keep upper_boundary_ratio of talking area + width, height = mask_image.size + top_boundary = int(height * upper_boundary_ratio) + modified_mask_image = Image.new('L', ori_shape, 0) + modified_mask_image.paste(mask_image.crop((0, top_boundary, width, height)), (0, top_boundary)) + + blur_kernel_size = int(0.1 * ori_shape[0] // 2 * 2) + 1 + mask_array = cv2.GaussianBlur(np.array(modified_mask_image), (blur_kernel_size, blur_kernel_size), 0) + mask_image = Image.fromarray(mask_array) + + face_large.paste(face, (x-x_s, y-y_s, x1-x_s, y1-y_s)) + body.paste(face_large, crop_box[:2], mask_image) + body = np.array(body) + return body[:,:,::-1] + +def get_image_prepare_material(image,face_box,upper_boundary_ratio = 0.5,expand=1.2): + body = Image.fromarray(image[:,:,::-1]) + + x, y, x1, y1 = face_box + #print(x1-x,y1-y) + crop_box, s = get_crop_box(face_box, expand) + x_s, y_s, x_e, y_e = crop_box + + face_large = body.crop(crop_box) + ori_shape = face_large.size + + mask_image = face_seg(face_large) + mask_small = mask_image.crop((x-x_s, y-y_s, x1-x_s, y1-y_s)) + mask_image = Image.new('L', ori_shape, 0) + mask_image.paste(mask_small, (x-x_s, y-y_s, x1-x_s, y1-y_s)) + + # keep upper_boundary_ratio of talking area + width, height = mask_image.size + top_boundary = int(height * upper_boundary_ratio) + modified_mask_image = Image.new('L', ori_shape, 0) + modified_mask_image.paste(mask_image.crop((0, top_boundary, width, height)), (0, top_boundary)) + + blur_kernel_size = int(0.1 * ori_shape[0] // 2 * 2) + 1 + mask_array = cv2.GaussianBlur(np.array(modified_mask_image), (blur_kernel_size, blur_kernel_size), 0) + return mask_array,crop_box + +def get_image_blending(image,face,face_box,mask_array,crop_box): + body = Image.fromarray(image[:,:,::-1]) + face = Image.fromarray(face[:,:,::-1]) + + x, y, x1, y1 = face_box + x_s, y_s, x_e, y_e = crop_box + face_large = body.crop(crop_box) + + mask_image = Image.fromarray(mask_array) + mask_image = mask_image.convert("L") + face_large.paste(face, (x-x_s, y-y_s, x1-x_s, y1-y_s)) + body.paste(face_large, crop_box[:2], mask_image) + body = np.array(body) + return body[:,:,::-1] \ No newline at end of file diff --git a/Musetalk/musetalk/utils/dwpose/default_runtime.py b/Musetalk/musetalk/utils/dwpose/default_runtime.py new file mode 100644 index 0000000000000000000000000000000000000000..6f27c0345a6cf1b7bc4b035eb456e2c9f3126804 --- /dev/null +++ b/Musetalk/musetalk/utils/dwpose/default_runtime.py @@ -0,0 +1,54 @@ +default_scope = 'mmpose' + +# hooks +default_hooks = dict( + timer=dict(type='IterTimerHook'), + logger=dict(type='LoggerHook', interval=50), + param_scheduler=dict(type='ParamSchedulerHook'), + checkpoint=dict(type='CheckpointHook', interval=10), + sampler_seed=dict(type='DistSamplerSeedHook'), + visualization=dict(type='PoseVisualizationHook', enable=False), + badcase=dict( + type='BadCaseAnalysisHook', + enable=False, + out_dir='badcase', + metric_type='loss', + badcase_thr=5)) + +# custom hooks +custom_hooks = [ + # Synchronize model buffers such as running_mean and running_var in BN + # at the end of each epoch + dict(type='SyncBuffersHook') +] + +# multi-processing backend +env_cfg = dict( + cudnn_benchmark=False, + mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0), + dist_cfg=dict(backend='nccl'), +) + +# visualizer +vis_backends = [ + dict(type='LocalVisBackend'), + # dict(type='TensorboardVisBackend'), + # dict(type='WandbVisBackend'), +] +visualizer = dict( + type='PoseLocalVisualizer', vis_backends=vis_backends, name='visualizer') + +# logger +log_processor = dict( + type='LogProcessor', window_size=50, by_epoch=True, num_digits=6) +log_level = 'INFO' +load_from = None +resume = False + +# file I/O backend +backend_args = dict(backend='local') + +# training/validation/testing progress +train_cfg = dict(by_epoch=True) +val_cfg = dict() +test_cfg = dict() diff --git a/Musetalk/musetalk/utils/dwpose/rtmpose-l_8xb32-270e_coco-ubody-wholebody-384x288.py b/Musetalk/musetalk/utils/dwpose/rtmpose-l_8xb32-270e_coco-ubody-wholebody-384x288.py new file mode 100644 index 0000000000000000000000000000000000000000..293efad219b835650bf3659a33826c51b04cfad4 --- /dev/null +++ b/Musetalk/musetalk/utils/dwpose/rtmpose-l_8xb32-270e_coco-ubody-wholebody-384x288.py @@ -0,0 +1,257 @@ +#_base_ = ['../../../_base_/default_runtime.py'] +_base_ = ['default_runtime.py'] + +# runtime +max_epochs = 270 +stage2_num_epochs = 30 +base_lr = 4e-3 +train_batch_size = 32 +val_batch_size = 32 + +train_cfg = dict(max_epochs=max_epochs, val_interval=10) +randomness = dict(seed=21) + +# optimizer +optim_wrapper = dict( + type='OptimWrapper', + optimizer=dict(type='AdamW', lr=base_lr, weight_decay=0.05), + paramwise_cfg=dict( + norm_decay_mult=0, bias_decay_mult=0, bypass_duplicate=True)) + +# learning rate +param_scheduler = [ + dict( + type='LinearLR', + start_factor=1.0e-5, + by_epoch=False, + begin=0, + end=1000), + dict( + # use cosine lr from 150 to 300 epoch + type='CosineAnnealingLR', + eta_min=base_lr * 0.05, + begin=max_epochs // 2, + end=max_epochs, + T_max=max_epochs // 2, + by_epoch=True, + convert_to_iter_based=True), +] + +# automatically scaling LR based on the actual training batch size +auto_scale_lr = dict(base_batch_size=512) + +# codec settings +codec = dict( + type='SimCCLabel', + input_size=(288, 384), + sigma=(6., 6.93), + simcc_split_ratio=2.0, + normalize=False, + use_dark=False) + +# model settings +model = dict( + type='TopdownPoseEstimator', + data_preprocessor=dict( + type='PoseDataPreprocessor', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + bgr_to_rgb=True), + backbone=dict( + _scope_='mmdet', + type='CSPNeXt', + arch='P5', + expand_ratio=0.5, + deepen_factor=1., + widen_factor=1., + out_indices=(4, ), + channel_attention=True, + norm_cfg=dict(type='SyncBN'), + act_cfg=dict(type='SiLU'), + init_cfg=dict( + type='Pretrained', + prefix='backbone.', + checkpoint='https://download.openmmlab.com/mmpose/v1/projects/' + 'rtmpose/cspnext-l_udp-aic-coco_210e-256x192-273b7631_20230130.pth' # noqa: E501 + )), + head=dict( + type='RTMCCHead', + in_channels=1024, + out_channels=133, + input_size=codec['input_size'], + in_featuremap_size=(9, 12), + simcc_split_ratio=codec['simcc_split_ratio'], + final_layer_kernel_size=7, + gau_cfg=dict( + hidden_dims=256, + s=128, + expansion_factor=2, + dropout_rate=0., + drop_path=0., + act_fn='SiLU', + use_rel_bias=False, + pos_enc=False), + loss=dict( + type='KLDiscretLoss', + use_target_weight=True, + beta=10., + label_softmax=True), + decoder=codec), + test_cfg=dict(flip_test=True, )) + +# base dataset settings +dataset_type = 'UBody2dDataset' +data_mode = 'topdown' +data_root = 'data/UBody/' + +backend_args = dict(backend='local') + +scenes = [ + 'Magic_show', 'Entertainment', 'ConductMusic', 'Online_class', 'TalkShow', + 'Speech', 'Fitness', 'Interview', 'Olympic', 'TVShow', 'Singing', + 'SignLanguage', 'Movie', 'LiveVlog', 'VideoConference' +] + +train_datasets = [ + dict( + type='CocoWholeBodyDataset', + data_root='data/coco/', + data_mode=data_mode, + ann_file='annotations/coco_wholebody_train_v1.0.json', + data_prefix=dict(img='train2017/'), + pipeline=[]) +] + +for scene in scenes: + train_dataset = dict( + type=dataset_type, + data_root=data_root, + data_mode=data_mode, + ann_file=f'annotations/{scene}/train_annotations.json', + data_prefix=dict(img='images/'), + pipeline=[], + sample_interval=10) + train_datasets.append(train_dataset) + +# pipelines +train_pipeline = [ + dict(type='LoadImage', backend_args=backend_args), + dict(type='GetBBoxCenterScale'), + dict(type='RandomFlip', direction='horizontal'), + dict(type='RandomHalfBody'), + dict( + type='RandomBBoxTransform', scale_factor=[0.5, 1.5], rotate_factor=90), + dict(type='TopdownAffine', input_size=codec['input_size']), + dict(type='mmdet.YOLOXHSVRandomAug'), + dict( + type='Albumentation', + transforms=[ + dict(type='Blur', p=0.1), + dict(type='MedianBlur', p=0.1), + dict( + type='CoarseDropout', + max_holes=1, + max_height=0.4, + max_width=0.4, + min_holes=1, + min_height=0.2, + min_width=0.2, + p=1.0), + ]), + dict(type='GenerateTarget', encoder=codec), + dict(type='PackPoseInputs') +] +val_pipeline = [ + dict(type='LoadImage', backend_args=backend_args), + dict(type='GetBBoxCenterScale'), + dict(type='TopdownAffine', input_size=codec['input_size']), + dict(type='PackPoseInputs') +] + +train_pipeline_stage2 = [ + dict(type='LoadImage', backend_args=backend_args), + dict(type='GetBBoxCenterScale'), + dict(type='RandomFlip', direction='horizontal'), + dict(type='RandomHalfBody'), + dict( + type='RandomBBoxTransform', + shift_factor=0., + scale_factor=[0.5, 1.5], + rotate_factor=90), + dict(type='TopdownAffine', input_size=codec['input_size']), + dict(type='mmdet.YOLOXHSVRandomAug'), + dict( + type='Albumentation', + transforms=[ + dict(type='Blur', p=0.1), + dict(type='MedianBlur', p=0.1), + dict( + type='CoarseDropout', + max_holes=1, + max_height=0.4, + max_width=0.4, + min_holes=1, + min_height=0.2, + min_width=0.2, + p=0.5), + ]), + dict(type='GenerateTarget', encoder=codec), + dict(type='PackPoseInputs') +] + +# data loaders +train_dataloader = dict( + batch_size=train_batch_size, + num_workers=10, + persistent_workers=True, + sampler=dict(type='DefaultSampler', shuffle=True), + dataset=dict( + type='CombinedDataset', + metainfo=dict(from_file='configs/_base_/datasets/coco_wholebody.py'), + datasets=train_datasets, + pipeline=train_pipeline, + test_mode=False, + )) + +val_dataloader = dict( + batch_size=val_batch_size, + num_workers=10, + persistent_workers=True, + drop_last=False, + sampler=dict(type='DefaultSampler', shuffle=False, round_up=False), + dataset=dict( + type='CocoWholeBodyDataset', + data_root=data_root, + data_mode=data_mode, + ann_file='data/coco/annotations/coco_wholebody_val_v1.0.json', + bbox_file='data/coco/person_detection_results/' + 'COCO_val2017_detections_AP_H_56_person.json', + data_prefix=dict(img='coco/val2017/'), + test_mode=True, + pipeline=val_pipeline, + )) +test_dataloader = val_dataloader + +# hooks +default_hooks = dict( + checkpoint=dict( + save_best='coco-wholebody/AP', rule='greater', max_keep_ckpts=1)) + +custom_hooks = [ + dict( + type='EMAHook', + ema_type='ExpMomentumEMA', + momentum=0.0002, + update_buffers=True, + priority=49), + dict( + type='mmdet.PipelineSwitchHook', + switch_epoch=max_epochs - stage2_num_epochs, + switch_pipeline=train_pipeline_stage2) +] + +# evaluators +val_evaluator = dict( + type='CocoWholeBodyMetric', + ann_file='data/coco/annotations/coco_wholebody_val_v1.0.json') +test_evaluator = val_evaluator diff --git a/Musetalk/musetalk/utils/face_detection/README.md b/Musetalk/musetalk/utils/face_detection/README.md new file mode 100644 index 0000000000000000000000000000000000000000..c073376e4eeda6d4b29cc31c50cb7e88ab42bb73 --- /dev/null +++ b/Musetalk/musetalk/utils/face_detection/README.md @@ -0,0 +1 @@ +The code for Face Detection in this folder has been taken from the wonderful [face_alignment](https://github.com/1adrianb/face-alignment) repository. This has been modified to take batches of faces at a time. \ No newline at end of file diff --git a/Musetalk/musetalk/utils/face_detection/__init__.py b/Musetalk/musetalk/utils/face_detection/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..31c3e227b0b61c2270225cea370ffd35c4e24b99 --- /dev/null +++ b/Musetalk/musetalk/utils/face_detection/__init__.py @@ -0,0 +1,7 @@ +# -*- coding: utf-8 -*- + +__author__ = """Adrian Bulat""" +__email__ = 'adrian.bulat@nottingham.ac.uk' +__version__ = '1.0.1' + +from .api import FaceAlignment, LandmarksType, NetworkSize, YOLOv8_face diff --git a/Musetalk/musetalk/utils/face_detection/api.py b/Musetalk/musetalk/utils/face_detection/api.py new file mode 100644 index 0000000000000000000000000000000000000000..0a6a8d665c3c680848fbf6dc81b4d094a8f51c77 --- /dev/null +++ b/Musetalk/musetalk/utils/face_detection/api.py @@ -0,0 +1,240 @@ +from __future__ import print_function +import os +import torch +from torch.utils.model_zoo import load_url +from enum import Enum +import numpy as np +import cv2 +try: + import urllib.request as request_file +except BaseException: + import urllib as request_file + +from .models import FAN, ResNetDepth +from .utils import * + + +class LandmarksType(Enum): + """Enum class defining the type of landmarks to detect. + + ``_2D`` - the detected points ``(x,y)`` are detected in a 2D space and follow the visible contour of the face + ``_2halfD`` - this points represent the projection of the 3D points into 3D + ``_3D`` - detect the points ``(x,y,z)``` in a 3D space + + """ + _2D = 1 + _2halfD = 2 + _3D = 3 + + +class NetworkSize(Enum): + # TINY = 1 + # SMALL = 2 + # MEDIUM = 3 + LARGE = 4 + + def __new__(cls, value): + member = object.__new__(cls) + member._value_ = value + return member + + def __int__(self): + return self.value + + + +class FaceAlignment: + def __init__(self, landmarks_type, network_size=NetworkSize.LARGE, + device='cuda', flip_input=False, face_detector='sfd', verbose=False): + self.device = device + self.flip_input = flip_input + self.landmarks_type = landmarks_type + self.verbose = verbose + + network_size = int(network_size) + + if 'cuda' in device: + torch.backends.cudnn.benchmark = True +# torch.backends.cuda.matmul.allow_tf32 = False +# torch.backends.cudnn.benchmark = True +# torch.backends.cudnn.deterministic = False +# torch.backends.cudnn.allow_tf32 = True + print('cuda start') + + + # Get the face detector + face_detector_module = __import__('face_detection.detection.' + face_detector, + globals(), locals(), [face_detector], 0) + + self.face_detector = face_detector_module.FaceDetector(device=device, verbose=verbose) + + def get_detections_for_batch(self, images): + images = images[..., ::-1] + detected_faces = self.face_detector.detect_from_batch(images.copy()) + results = [] + + for i, d in enumerate(detected_faces): + if len(d) == 0: + results.append(None) + continue + d = d[0] + d = np.clip(d, 0, None) + + x1, y1, x2, y2 = map(int, d[:-1]) + results.append((x1, y1, x2, y2)) + + return results + + +class YOLOv8_face: + def __init__(self, path = 'face_detection/weights/yolov8n-face.onnx', conf_thres=0.2, iou_thres=0.5): + self.conf_threshold = conf_thres + self.iou_threshold = iou_thres + self.class_names = ['face'] + self.num_classes = len(self.class_names) + # Initialize model + self.net = cv2.dnn.readNet(path) + self.input_height = 640 + self.input_width = 640 + self.reg_max = 16 + + self.project = np.arange(self.reg_max) + self.strides = (8, 16, 32) + self.feats_hw = [(math.ceil(self.input_height / self.strides[i]), math.ceil(self.input_width / self.strides[i])) for i in range(len(self.strides))] + self.anchors = self.make_anchors(self.feats_hw) + + def make_anchors(self, feats_hw, grid_cell_offset=0.5): + """Generate anchors from features.""" + anchor_points = {} + for i, stride in enumerate(self.strides): + h,w = feats_hw[i] + x = np.arange(0, w) + grid_cell_offset # shift x + y = np.arange(0, h) + grid_cell_offset # shift y + sx, sy = np.meshgrid(x, y) + # sy, sx = np.meshgrid(y, x) + anchor_points[stride] = np.stack((sx, sy), axis=-1).reshape(-1, 2) + return anchor_points + + def softmax(self, x, axis=1): + x_exp = np.exp(x) + # 如果是列向量，则axis=0 + x_sum = np.sum(x_exp, axis=axis, keepdims=True) + s = x_exp / x_sum + return s + + def resize_image(self, srcimg, keep_ratio=True): + top, left, newh, neww = 0, 0, self.input_width, self.input_height + if keep_ratio and srcimg.shape[0] != srcimg.shape[1]: + hw_scale = srcimg.shape[0] / srcimg.shape[1] + if hw_scale > 1: + newh, neww = self.input_height, int(self.input_width / hw_scale) + img = cv2.resize(srcimg, (neww, newh), interpolation=cv2.INTER_AREA) + left = int((self.input_width - neww) * 0.5) + img = cv2.copyMakeBorder(img, 0, 0, left, self.input_width - neww - left, cv2.BORDER_CONSTANT, + value=(0, 0, 0)) # add border + else: + newh, neww = int(self.input_height * hw_scale), self.input_width + img = cv2.resize(srcimg, (neww, newh), interpolation=cv2.INTER_AREA) + top = int((self.input_height - newh) * 0.5) + img = cv2.copyMakeBorder(img, top, self.input_height - newh - top, 0, 0, cv2.BORDER_CONSTANT, + value=(0, 0, 0)) + else: + img = cv2.resize(srcimg, (self.input_width, self.input_height), interpolation=cv2.INTER_AREA) + return img, newh, neww, top, left + + def detect(self, srcimg): + input_img, newh, neww, padh, padw = self.resize_image(cv2.cvtColor(srcimg, cv2.COLOR_BGR2RGB)) + scale_h, scale_w = srcimg.shape[0]/newh, srcimg.shape[1]/neww + input_img = input_img.astype(np.float32) / 255.0 + + blob = cv2.dnn.blobFromImage(input_img) + self.net.setInput(blob) + outputs = self.net.forward(self.net.getUnconnectedOutLayersNames()) + # if isinstance(outputs, tuple): + # outputs = list(outputs) + # if float(cv2.__version__[:3])>=4.7: + # outputs = [outputs[2], outputs[0], outputs[1]] ###opencv4.7需要这一步，opencv4.5不需要 + # Perform inference on the image + det_bboxes, det_conf, det_classid, landmarks = self.post_process(outputs, scale_h, scale_w, padh, padw) + return det_bboxes, det_conf, det_classid, landmarks + + def post_process(self, preds, scale_h, scale_w, padh, padw): + bboxes, scores, landmarks = [], [], [] + for i, pred in enumerate(preds): + stride = int(self.input_height/pred.shape[2]) + pred = pred.transpose((0, 2, 3, 1)) + + box = pred[..., :self.reg_max * 4] + cls = 1 / (1 + np.exp(-pred[..., self.reg_max * 4:-15])).reshape((-1,1)) + kpts = pred[..., -15:].reshape((-1,15)) ### x1,y1,score1, ..., x5,y5,score5 + + # tmp = box.reshape(self.feats_hw[i][0], self.feats_hw[i][1], 4, self.reg_max) + tmp = box.reshape(-1, 4, self.reg_max) + bbox_pred = self.softmax(tmp, axis=-1) + bbox_pred = np.dot(bbox_pred, self.project).reshape((-1,4)) + + bbox = self.distance2bbox(self.anchors[stride], bbox_pred, max_shape=(self.input_height, self.input_width)) * stride + kpts[:, 0::3] = (kpts[:, 0::3] * 2.0 + (self.anchors[stride][:, 0].reshape((-1,1)) - 0.5)) * stride + kpts[:, 1::3] = (kpts[:, 1::3] * 2.0 + (self.anchors[stride][:, 1].reshape((-1,1)) - 0.5)) * stride + kpts[:, 2::3] = 1 / (1+np.exp(-kpts[:, 2::3])) + + bbox -= np.array([[padw, padh, padw, padh]]) ###合理使用广播法则 + bbox *= np.array([[scale_w, scale_h, scale_w, scale_h]]) + kpts -= np.tile(np.array([padw, padh, 0]), 5).reshape((1,15)) + kpts *= np.tile(np.array([scale_w, scale_h, 1]), 5).reshape((1,15)) + + bboxes.append(bbox) + scores.append(cls) + landmarks.append(kpts) + + bboxes = np.concatenate(bboxes, axis=0) + scores = np.concatenate(scores, axis=0) + landmarks = np.concatenate(landmarks, axis=0) + + bboxes_wh = bboxes.copy() + bboxes_wh[:, 2:4] = bboxes[:, 2:4] - bboxes[:, 0:2] ####xywh + classIds = np.argmax(scores, axis=1) + confidences = np.max(scores, axis=1) ####max_class_confidence + + mask = confidences>self.conf_threshold + bboxes_wh = bboxes_wh[mask] ###合理使用广播法则 + confidences = confidences[mask] + classIds = classIds[mask] + landmarks = landmarks[mask] + + indices = cv2.dnn.NMSBoxes(bboxes_wh.tolist(), confidences.tolist(), self.conf_threshold, + self.iou_threshold).flatten() + if len(indices) > 0: + mlvl_bboxes = bboxes_wh[indices] + confidences = confidences[indices] + classIds = classIds[indices] + landmarks = landmarks[indices] + return mlvl_bboxes, confidences, classIds, landmarks + else: + print('nothing detect') + return np.array([]), np.array([]), np.array([]), np.array([]) + + def distance2bbox(self, points, distance, max_shape=None): + x1 = points[:, 0] - distance[:, 0] + y1 = points[:, 1] - distance[:, 1] + x2 = points[:, 0] + distance[:, 2] + y2 = points[:, 1] + distance[:, 3] + if max_shape is not None: + x1 = np.clip(x1, 0, max_shape[1]) + y1 = np.clip(y1, 0, max_shape[0]) + x2 = np.clip(x2, 0, max_shape[1]) + y2 = np.clip(y2, 0, max_shape[0]) + return np.stack([x1, y1, x2, y2], axis=-1) + + def draw_detections(self, image, boxes, scores, kpts): + for box, score, kp in zip(boxes, scores, kpts): + x, y, w, h = box.astype(int) + # Draw rectangle + cv2.rectangle(image, (x, y), (x + w, y + h), (0, 0, 255), thickness=3) + cv2.putText(image, "face:"+str(round(score,2)), (x, y - 5), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), thickness=2) + for i in range(5): + cv2.circle(image, (int(kp[i * 3]), int(kp[i * 3 + 1])), 4, (0, 255, 0), thickness=-1) + # cv2.putText(image, str(i), (int(kp[i * 3]), int(kp[i * 3 + 1]) - 10), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), thickness=1) + return image + +ROOT = os.path.dirname(os.path.abspath(__file__)) \ No newline at end of file diff --git a/Musetalk/musetalk/utils/face_detection/detection/__init__.py b/Musetalk/musetalk/utils/face_detection/detection/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..1a6b0402dae864a3cc5dc2a90a412fd842a0efc7 --- /dev/null +++ b/Musetalk/musetalk/utils/face_detection/detection/__init__.py @@ -0,0 +1 @@ +from .core import FaceDetector \ No newline at end of file diff --git a/Musetalk/musetalk/utils/face_detection/detection/core.py b/Musetalk/musetalk/utils/face_detection/detection/core.py new file mode 100644 index 0000000000000000000000000000000000000000..0f8275e8e53143f66298f75f0517c234a68778cd --- /dev/null +++ b/Musetalk/musetalk/utils/face_detection/detection/core.py @@ -0,0 +1,130 @@ +import logging +import glob +from tqdm import tqdm +import numpy as np +import torch +import cv2 + + +class FaceDetector(object): + """An abstract class representing a face detector. + + Any other face detection implementation must subclass it. All subclasses + must implement ``detect_from_image``, that return a list of detected + bounding boxes. Optionally, for speed considerations detect from path is + recommended. + """ + + def __init__(self, device, verbose): + self.device = device + self.verbose = verbose + + if verbose: + if 'cpu' in device: + logger = logging.getLogger(__name__) + logger.warning("Detection running on CPU, this may be potentially slow.") + + if 'cpu' not in device and 'cuda' not in device: + if verbose: + logger.error("Expected values for device are: {cpu, cuda} but got: %s", device) + raise ValueError + + def detect_from_image(self, tensor_or_path): + """Detects faces in a given image. + + This function detects the faces present in a provided BGR(usually) + image. The input can be either the image itself or the path to it. + + Arguments: + tensor_or_path {numpy.ndarray, torch.tensor or string} -- the path + to an image or the image itself. + + Example:: + + >>> path_to_image = 'data/image_01.jpg' + ... detected_faces = detect_from_image(path_to_image) + [A list of bounding boxes (x1, y1, x2, y2)] + >>> image = cv2.imread(path_to_image) + ... detected_faces = detect_from_image(image) + [A list of bounding boxes (x1, y1, x2, y2)] + + """ + raise NotImplementedError + + def detect_from_directory(self, path, extensions=['.jpg', '.png'], recursive=False, show_progress_bar=True): + """Detects faces from all the images present in a given directory. + + Arguments: + path {string} -- a string containing a path that points to the folder containing the images + + Keyword Arguments: + extensions {list} -- list of string containing the extensions to be + consider in the following format: ``.extension_name`` (default: + {['.jpg', '.png']}) recursive {bool} -- option wherever to scan the + folder recursively (default: {False}) show_progress_bar {bool} -- + display a progressbar (default: {True}) + + Example: + >>> directory = 'data' + ... detected_faces = detect_from_directory(directory) + {A dictionary of [lists containing bounding boxes(x1, y1, x2, y2)]} + + """ + if self.verbose: + logger = logging.getLogger(__name__) + + if len(extensions) == 0: + if self.verbose: + logger.error("Expected at list one extension, but none was received.") + raise ValueError + + if self.verbose: + logger.info("Constructing the list of images.") + additional_pattern = '/**/*' if recursive else '/*' + files = [] + for extension in extensions: + files.extend(glob.glob(path + additional_pattern + extension, recursive=recursive)) + + if self.verbose: + logger.info("Finished searching for images. %s images found", len(files)) + logger.info("Preparing to run the detection.") + + predictions = {} + for image_path in tqdm(files, disable=not show_progress_bar): + if self.verbose: + logger.info("Running the face detector on image: %s", image_path) + predictions[image_path] = self.detect_from_image(image_path) + + if self.verbose: + logger.info("The detector was successfully run on all %s images", len(files)) + + return predictions + + @property + def reference_scale(self): + raise NotImplementedError + + @property + def reference_x_shift(self): + raise NotImplementedError + + @property + def reference_y_shift(self): + raise NotImplementedError + + @staticmethod + def tensor_or_path_to_ndarray(tensor_or_path, rgb=True): + """Convert path (represented as a string) or torch.tensor to a numpy.ndarray + + Arguments: + tensor_or_path {numpy.ndarray, torch.tensor or string} -- path to the image, or the image itself + """ + if isinstance(tensor_or_path, str): + return cv2.imread(tensor_or_path) if not rgb else cv2.imread(tensor_or_path)[..., ::-1] + elif torch.is_tensor(tensor_or_path): + # Call cpu in case its coming from cuda + return tensor_or_path.cpu().numpy()[..., ::-1].copy() if not rgb else tensor_or_path.cpu().numpy() + elif isinstance(tensor_or_path, np.ndarray): + return tensor_or_path[..., ::-1].copy() if not rgb else tensor_or_path + else: + raise TypeError diff --git a/Musetalk/musetalk/utils/face_detection/detection/sfd/__init__.py b/Musetalk/musetalk/utils/face_detection/detection/sfd/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..5a63ecd45658f22e66c171ada751fb33764d4559 --- /dev/null +++ b/Musetalk/musetalk/utils/face_detection/detection/sfd/__init__.py @@ -0,0 +1 @@ +from .sfd_detector import SFDDetector as FaceDetector \ No newline at end of file diff --git a/Musetalk/musetalk/utils/face_detection/detection/sfd/bbox.py b/Musetalk/musetalk/utils/face_detection/detection/sfd/bbox.py new file mode 100644 index 0000000000000000000000000000000000000000..4bd7222e5e5f78a51944cbeed3cccbacddc46bed --- /dev/null +++ b/Musetalk/musetalk/utils/face_detection/detection/sfd/bbox.py @@ -0,0 +1,129 @@ +from __future__ import print_function +import os +import sys +import cv2 +import random +import datetime +import time +import math +import argparse +import numpy as np +import torch + +try: + from iou import IOU +except BaseException: + # IOU cython speedup 10x + def IOU(ax1, ay1, ax2, ay2, bx1, by1, bx2, by2): + sa = abs((ax2 - ax1) * (ay2 - ay1)) + sb = abs((bx2 - bx1) * (by2 - by1)) + x1, y1 = max(ax1, bx1), max(ay1, by1) + x2, y2 = min(ax2, bx2), min(ay2, by2) + w = x2 - x1 + h = y2 - y1 + if w < 0 or h < 0: + return 0.0 + else: + return 1.0 * w * h / (sa + sb - w * h) + + +def bboxlog(x1, y1, x2, y2, axc, ayc, aww, ahh): + xc, yc, ww, hh = (x2 + x1) / 2, (y2 + y1) / 2, x2 - x1, y2 - y1 + dx, dy = (xc - axc) / aww, (yc - ayc) / ahh + dw, dh = math.log(ww / aww), math.log(hh / ahh) + return dx, dy, dw, dh + + +def bboxloginv(dx, dy, dw, dh, axc, ayc, aww, ahh): + xc, yc = dx * aww + axc, dy * ahh + ayc + ww, hh = math.exp(dw) * aww, math.exp(dh) * ahh + x1, x2, y1, y2 = xc - ww / 2, xc + ww / 2, yc - hh / 2, yc + hh / 2 + return x1, y1, x2, y2 + + +def nms(dets, thresh): + if 0 == len(dets): + return [] + x1, y1, x2, y2, scores = dets[:, 0], dets[:, 1], dets[:, 2], dets[:, 3], dets[:, 4] + areas = (x2 - x1 + 1) * (y2 - y1 + 1) + order = scores.argsort()[::-1] + + keep = [] + while order.size > 0: + i = order[0] + keep.append(i) + xx1, yy1 = np.maximum(x1[i], x1[order[1:]]), np.maximum(y1[i], y1[order[1:]]) + xx2, yy2 = np.minimum(x2[i], x2[order[1:]]), np.minimum(y2[i], y2[order[1:]]) + + w, h = np.maximum(0.0, xx2 - xx1 + 1), np.maximum(0.0, yy2 - yy1 + 1) + ovr = w * h / (areas[i] + areas[order[1:]] - w * h) + + inds = np.where(ovr <= thresh)[0] + order = order[inds + 1] + + return keep + + +def encode(matched, priors, variances): + """Encode the variances from the priorbox layers into the ground truth boxes + we have matched (based on jaccard overlap) with the prior boxes. + Args: + matched: (tensor) Coords of ground truth for each prior in point-form + Shape: [num_priors, 4]. + priors: (tensor) Prior boxes in center-offset form + Shape: [num_priors,4]. + variances: (list[float]) Variances of priorboxes + Return: + encoded boxes (tensor), Shape: [num_priors, 4] + """ + + # dist b/t match center and prior's center + g_cxcy = (matched[:, :2] + matched[:, 2:]) / 2 - priors[:, :2] + # encode variance + g_cxcy /= (variances[0] * priors[:, 2:]) + # match wh / prior wh + g_wh = (matched[:, 2:] - matched[:, :2]) / priors[:, 2:] + g_wh = torch.log(g_wh) / variances[1] + # return target for smooth_l1_loss + return torch.cat([g_cxcy, g_wh], 1) # [num_priors,4] + + +def decode(loc, priors, variances): + """Decode locations from predictions using priors to undo + the encoding we did for offset regression at train time. + Args: + loc (tensor): location predictions for loc layers, + Shape: [num_priors,4] + priors (tensor): Prior boxes in center-offset form. + Shape: [num_priors,4]. + variances: (list[float]) Variances of priorboxes + Return: + decoded bounding box predictions + """ + + boxes = torch.cat(( + priors[:, :2] + loc[:, :2] * variances[0] * priors[:, 2:], + priors[:, 2:] * torch.exp(loc[:, 2:] * variances[1])), 1) + boxes[:, :2] -= boxes[:, 2:] / 2 + boxes[:, 2:] += boxes[:, :2] + return boxes + +def batch_decode(loc, priors, variances): + """Decode locations from predictions using priors to undo + the encoding we did for offset regression at train time. + Args: + loc (tensor): location predictions for loc layers, + Shape: [num_priors,4] + priors (tensor): Prior boxes in center-offset form. + Shape: [num_priors,4]. + variances: (list[float]) Variances of priorboxes + Return: + decoded bounding box predictions + """ + + boxes = torch.cat(( + priors[:, :, :2] + loc[:, :, :2] * variances[0] * priors[:, :, 2:], + priors[:, :, 2:] * torch.exp(loc[:, :, 2:] * variances[1])), 2) + boxes[:, :, :2] -= boxes[:, :, 2:] / 2 + boxes[:, :, 2:] += boxes[:, :, :2] + return boxes diff --git a/Musetalk/musetalk/utils/face_detection/detection/sfd/detect.py b/Musetalk/musetalk/utils/face_detection/detection/sfd/detect.py new file mode 100644 index 0000000000000000000000000000000000000000..15ccdc5abf5df22937f997ec59993f5da4a14ed6 --- /dev/null +++ b/Musetalk/musetalk/utils/face_detection/detection/sfd/detect.py @@ -0,0 +1,114 @@ +import torch +import torch.nn.functional as F + +import os +import sys +import cv2 +import random +import datetime +import math +import argparse +import numpy as np + +import scipy.io as sio +import zipfile +from .net_s3fd import s3fd +from .bbox import * + + +def detect(net, img, device): + img = img - np.array([104, 117, 123]) + img = img.transpose(2, 0, 1) + img = img.reshape((1,) + img.shape) + + if 'cuda' in device: + torch.backends.cudnn.benchmark = True + + img = torch.from_numpy(img).float().to(device) + BB, CC, HH, WW = img.size() + with torch.no_grad(): + olist = net(img) + + bboxlist = [] + for i in range(len(olist) // 2): + olist[i * 2] = F.softmax(olist[i * 2], dim=1) + olist = [oelem.data.cpu() for oelem in olist] + for i in range(len(olist) // 2): + ocls, oreg = olist[i * 2], olist[i * 2 + 1] + FB, FC, FH, FW = ocls.size() # feature map size + stride = 2**(i + 2) # 4,8,16,32,64,128 + anchor = stride * 4 + poss = zip(*np.where(ocls[:, 1, :, :] > 0.05)) + for Iindex, hindex, windex in poss: + axc, ayc = stride / 2 + windex * stride, stride / 2 + hindex * stride + score = ocls[0, 1, hindex, windex] + loc = oreg[0, :, hindex, windex].contiguous().view(1, 4) + priors = torch.Tensor([[axc / 1.0, ayc / 1.0, stride * 4 / 1.0, stride * 4 / 1.0]]) + variances = [0.1, 0.2] + box = decode(loc, priors, variances) + x1, y1, x2, y2 = box[0] * 1.0 + # cv2.rectangle(imgshow,(int(x1),int(y1)),(int(x2),int(y2)),(0,0,255),1) + bboxlist.append([x1, y1, x2, y2, score]) + bboxlist = np.array(bboxlist) + if 0 == len(bboxlist): + bboxlist = np.zeros((1, 5)) + + return bboxlist + +def batch_detect(net, imgs, device): + imgs = imgs - np.array([104, 117, 123]) + imgs = imgs.transpose(0, 3, 1, 2) + + if 'cuda' in device: + torch.backends.cudnn.benchmark = True + + imgs = torch.from_numpy(imgs).float().to(device) + BB, CC, HH, WW = imgs.size() + with torch.no_grad(): + olist = net(imgs) +# print(olist) + + bboxlist = [] + for i in range(len(olist) // 2): + olist[i * 2] = F.softmax(olist[i * 2], dim=1) + + olist = [oelem.cpu() for oelem in olist] + for i in range(len(olist) // 2): + ocls, oreg = olist[i * 2], olist[i * 2 + 1] + FB, FC, FH, FW = ocls.size() # feature map size + stride = 2**(i + 2) # 4,8,16,32,64,128 + anchor = stride * 4 + poss = zip(*np.where(ocls[:, 1, :, :] > 0.05)) + for Iindex, hindex, windex in poss: + axc, ayc = stride / 2 + windex * stride, stride / 2 + hindex * stride + score = ocls[:, 1, hindex, windex] + loc = oreg[:, :, hindex, windex].contiguous().view(BB, 1, 4) + priors = torch.Tensor([[axc / 1.0, ayc / 1.0, stride * 4 / 1.0, stride * 4 / 1.0]]).view(1, 1, 4) + variances = [0.1, 0.2] + box = batch_decode(loc, priors, variances) + box = box[:, 0] * 1.0 + # cv2.rectangle(imgshow,(int(x1),int(y1)),(int(x2),int(y2)),(0,0,255),1) + bboxlist.append(torch.cat([box, score.unsqueeze(1)], 1).cpu().numpy()) + bboxlist = np.array(bboxlist) + if 0 == len(bboxlist): + bboxlist = np.zeros((1, BB, 5)) + + return bboxlist + +def flip_detect(net, img, device): + img = cv2.flip(img, 1) + b = detect(net, img, device) + + bboxlist = np.zeros(b.shape) + bboxlist[:, 0] = img.shape[1] - b[:, 2] + bboxlist[:, 1] = b[:, 1] + bboxlist[:, 2] = img.shape[1] - b[:, 0] + bboxlist[:, 3] = b[:, 3] + bboxlist[:, 4] = b[:, 4] + return bboxlist + + +def pts_to_bb(pts): + min_x, min_y = np.min(pts, axis=0) + max_x, max_y = np.max(pts, axis=0) + return np.array([min_x, min_y, max_x, max_y]) diff --git a/Musetalk/musetalk/utils/face_detection/detection/sfd/net_s3fd.py b/Musetalk/musetalk/utils/face_detection/detection/sfd/net_s3fd.py new file mode 100644 index 0000000000000000000000000000000000000000..fc64313c277ab594d0257585c70f147606693452 --- /dev/null +++ b/Musetalk/musetalk/utils/face_detection/detection/sfd/net_s3fd.py @@ -0,0 +1,129 @@ +import torch +import torch.nn as nn +import torch.nn.functional as F + + +class L2Norm(nn.Module): + def __init__(self, n_channels, scale=1.0): + super(L2Norm, self).__init__() + self.n_channels = n_channels + self.scale = scale + self.eps = 1e-10 + self.weight = nn.Parameter(torch.Tensor(self.n_channels)) + self.weight.data *= 0.0 + self.weight.data += self.scale + + def forward(self, x): + norm = x.pow(2).sum(dim=1, keepdim=True).sqrt() + self.eps + x = x / norm * self.weight.view(1, -1, 1, 1) + return x + + +class s3fd(nn.Module): + def __init__(self): + super(s3fd, self).__init__() + self.conv1_1 = nn.Conv2d(3, 64, kernel_size=3, stride=1, padding=1) + self.conv1_2 = nn.Conv2d(64, 64, kernel_size=3, stride=1, padding=1) + + self.conv2_1 = nn.Conv2d(64, 128, kernel_size=3, stride=1, padding=1) + self.conv2_2 = nn.Conv2d(128, 128, kernel_size=3, stride=1, padding=1) + + self.conv3_1 = nn.Conv2d(128, 256, kernel_size=3, stride=1, padding=1) + self.conv3_2 = nn.Conv2d(256, 256, kernel_size=3, stride=1, padding=1) + self.conv3_3 = nn.Conv2d(256, 256, kernel_size=3, stride=1, padding=1) + + self.conv4_1 = nn.Conv2d(256, 512, kernel_size=3, stride=1, padding=1) + self.conv4_2 = nn.Conv2d(512, 512, kernel_size=3, stride=1, padding=1) + self.conv4_3 = nn.Conv2d(512, 512, kernel_size=3, stride=1, padding=1) + + self.conv5_1 = nn.Conv2d(512, 512, kernel_size=3, stride=1, padding=1) + self.conv5_2 = nn.Conv2d(512, 512, kernel_size=3, stride=1, padding=1) + self.conv5_3 = nn.Conv2d(512, 512, kernel_size=3, stride=1, padding=1) + + self.fc6 = nn.Conv2d(512, 1024, kernel_size=3, stride=1, padding=3) + self.fc7 = nn.Conv2d(1024, 1024, kernel_size=1, stride=1, padding=0) + + self.conv6_1 = nn.Conv2d(1024, 256, kernel_size=1, stride=1, padding=0) + self.conv6_2 = nn.Conv2d(256, 512, kernel_size=3, stride=2, padding=1) + + self.conv7_1 = nn.Conv2d(512, 128, kernel_size=1, stride=1, padding=0) + self.conv7_2 = nn.Conv2d(128, 256, kernel_size=3, stride=2, padding=1) + + self.conv3_3_norm = L2Norm(256, scale=10) + self.conv4_3_norm = L2Norm(512, scale=8) + self.conv5_3_norm = L2Norm(512, scale=5) + + self.conv3_3_norm_mbox_conf = nn.Conv2d(256, 4, kernel_size=3, stride=1, padding=1) + self.conv3_3_norm_mbox_loc = nn.Conv2d(256, 4, kernel_size=3, stride=1, padding=1) + self.conv4_3_norm_mbox_conf = nn.Conv2d(512, 2, kernel_size=3, stride=1, padding=1) + self.conv4_3_norm_mbox_loc = nn.Conv2d(512, 4, kernel_size=3, stride=1, padding=1) + self.conv5_3_norm_mbox_conf = nn.Conv2d(512, 2, kernel_size=3, stride=1, padding=1) + self.conv5_3_norm_mbox_loc = nn.Conv2d(512, 4, kernel_size=3, stride=1, padding=1) + + self.fc7_mbox_conf = nn.Conv2d(1024, 2, kernel_size=3, stride=1, padding=1) + self.fc7_mbox_loc = nn.Conv2d(1024, 4, kernel_size=3, stride=1, padding=1) + self.conv6_2_mbox_conf = nn.Conv2d(512, 2, kernel_size=3, stride=1, padding=1) + self.conv6_2_mbox_loc = nn.Conv2d(512, 4, kernel_size=3, stride=1, padding=1) + self.conv7_2_mbox_conf = nn.Conv2d(256, 2, kernel_size=3, stride=1, padding=1) + self.conv7_2_mbox_loc = nn.Conv2d(256, 4, kernel_size=3, stride=1, padding=1) + + def forward(self, x): + h = F.relu(self.conv1_1(x)) + h = F.relu(self.conv1_2(h)) + h = F.max_pool2d(h, 2, 2) + + h = F.relu(self.conv2_1(h)) + h = F.relu(self.conv2_2(h)) + h = F.max_pool2d(h, 2, 2) + + h = F.relu(self.conv3_1(h)) + h = F.relu(self.conv3_2(h)) + h = F.relu(self.conv3_3(h)) + f3_3 = h + h = F.max_pool2d(h, 2, 2) + + h = F.relu(self.conv4_1(h)) + h = F.relu(self.conv4_2(h)) + h = F.relu(self.conv4_3(h)) + f4_3 = h + h = F.max_pool2d(h, 2, 2) + + h = F.relu(self.conv5_1(h)) + h = F.relu(self.conv5_2(h)) + h = F.relu(self.conv5_3(h)) + f5_3 = h + h = F.max_pool2d(h, 2, 2) + + h = F.relu(self.fc6(h)) + h = F.relu(self.fc7(h)) + ffc7 = h + h = F.relu(self.conv6_1(h)) + h = F.relu(self.conv6_2(h)) + f6_2 = h + h = F.relu(self.conv7_1(h)) + h = F.relu(self.conv7_2(h)) + f7_2 = h + + f3_3 = self.conv3_3_norm(f3_3) + f4_3 = self.conv4_3_norm(f4_3) + f5_3 = self.conv5_3_norm(f5_3) + + cls1 = self.conv3_3_norm_mbox_conf(f3_3) + reg1 = self.conv3_3_norm_mbox_loc(f3_3) + cls2 = self.conv4_3_norm_mbox_conf(f4_3) + reg2 = self.conv4_3_norm_mbox_loc(f4_3) + cls3 = self.conv5_3_norm_mbox_conf(f5_3) + reg3 = self.conv5_3_norm_mbox_loc(f5_3) + cls4 = self.fc7_mbox_conf(ffc7) + reg4 = self.fc7_mbox_loc(ffc7) + cls5 = self.conv6_2_mbox_conf(f6_2) + reg5 = self.conv6_2_mbox_loc(f6_2) + cls6 = self.conv7_2_mbox_conf(f7_2) + reg6 = self.conv7_2_mbox_loc(f7_2) + + # max-out background label + chunk = torch.chunk(cls1, 4, 1) + bmax = torch.max(torch.max(chunk[0], chunk[1]), chunk[2]) + cls1 = torch.cat([bmax, chunk[3]], dim=1) + + return [cls1, reg1, cls2, reg2, cls3, reg3, cls4, reg4, cls5, reg5, cls6, reg6] diff --git a/Musetalk/musetalk/utils/face_detection/detection/sfd/sfd_detector.py b/Musetalk/musetalk/utils/face_detection/detection/sfd/sfd_detector.py new file mode 100644 index 0000000000000000000000000000000000000000..42f46fcbdd085bf33098c20737ad2f1f7afdc703 --- /dev/null +++ b/Musetalk/musetalk/utils/face_detection/detection/sfd/sfd_detector.py @@ -0,0 +1,59 @@ +import os +import cv2 +from torch.utils.model_zoo import load_url + +from ..core import FaceDetector + +from .net_s3fd import s3fd +from .bbox import * +from .detect import * + +models_urls = { + 's3fd': 'https://www.adrianbulat.com/downloads/python-fan/s3fd-619a316812.pth', +} + + +class SFDDetector(FaceDetector): + def __init__(self, device, path_to_detector='checkpoints/hub/checkpoints/s3fd-619a316812.pth', verbose=False): + super(SFDDetector, self).__init__(device, verbose) + + # Initialise the face detector + if not os.path.isfile(path_to_detector): + model_weights = load_url(models_urls['s3fd']) + else: + model_weights = torch.load(path_to_detector) + + self.face_detector = s3fd() + self.face_detector.load_state_dict(model_weights) + self.face_detector.to(device) + self.face_detector.eval() + + def detect_from_image(self, tensor_or_path): + image = self.tensor_or_path_to_ndarray(tensor_or_path) + + bboxlist = detect(self.face_detector, image, device=self.device) + keep = nms(bboxlist, 0.3) + bboxlist = bboxlist[keep, :] + bboxlist = [x for x in bboxlist if x[-1] > 0.5] + + return bboxlist + + def detect_from_batch(self, images): + bboxlists = batch_detect(self.face_detector, images, device=self.device) + keeps = [nms(bboxlists[:, i, :], 0.3) for i in range(bboxlists.shape[1])] + bboxlists = [bboxlists[keep, i, :] for i, keep in enumerate(keeps)] + bboxlists = [[x for x in bboxlist if x[-1] > 0.5] for bboxlist in bboxlists] + + return bboxlists + + @property + def reference_scale(self): + return 195 + + @property + def reference_x_shift(self): + return 0 + + @property + def reference_y_shift(self): + return 0 diff --git a/Musetalk/musetalk/utils/face_detection/models.py b/Musetalk/musetalk/utils/face_detection/models.py new file mode 100644 index 0000000000000000000000000000000000000000..ee2dde32bdf72c25a4600e48efa73ffc0d4a3893 --- /dev/null +++ b/Musetalk/musetalk/utils/face_detection/models.py @@ -0,0 +1,261 @@ +import torch +import torch.nn as nn +import torch.nn.functional as F +import math + + +def conv3x3(in_planes, out_planes, strd=1, padding=1, bias=False): + "3x3 convolution with padding" + return nn.Conv2d(in_planes, out_planes, kernel_size=3, + stride=strd, padding=padding, bias=bias) + + +class ConvBlock(nn.Module): + def __init__(self, in_planes, out_planes): + super(ConvBlock, self).__init__() + self.bn1 = nn.BatchNorm2d(in_planes) + self.conv1 = conv3x3(in_planes, int(out_planes / 2)) + self.bn2 = nn.BatchNorm2d(int(out_planes / 2)) + self.conv2 = conv3x3(int(out_planes / 2), int(out_planes / 4)) + self.bn3 = nn.BatchNorm2d(int(out_planes / 4)) + self.conv3 = conv3x3(int(out_planes / 4), int(out_planes / 4)) + + if in_planes != out_planes: + self.downsample = nn.Sequential( + nn.BatchNorm2d(in_planes), + nn.ReLU(True), + nn.Conv2d(in_planes, out_planes, + kernel_size=1, stride=1, bias=False), + ) + else: + self.downsample = None + + def forward(self, x): + residual = x + + out1 = self.bn1(x) + out1 = F.relu(out1, True) + out1 = self.conv1(out1) + + out2 = self.bn2(out1) + out2 = F.relu(out2, True) + out2 = self.conv2(out2) + + out3 = self.bn3(out2) + out3 = F.relu(out3, True) + out3 = self.conv3(out3) + + out3 = torch.cat((out1, out2, out3), 1) + + if self.downsample is not None: + residual = self.downsample(residual) + + out3 += residual + + return out3 + + +class Bottleneck(nn.Module): + + expansion = 4 + + def __init__(self, inplanes, planes, stride=1, downsample=None): + super(Bottleneck, self).__init__() + self.conv1 = nn.Conv2d(inplanes, planes, kernel_size=1, bias=False) + self.bn1 = nn.BatchNorm2d(planes) + self.conv2 = nn.Conv2d(planes, planes, kernel_size=3, stride=stride, + padding=1, bias=False) + self.bn2 = nn.BatchNorm2d(planes) + self.conv3 = nn.Conv2d(planes, planes * 4, kernel_size=1, bias=False) + self.bn3 = nn.BatchNorm2d(planes * 4) + self.relu = nn.ReLU(inplace=True) + self.downsample = downsample + self.stride = stride + + def forward(self, x): + residual = x + + out = self.conv1(x) + out = self.bn1(out) + out = self.relu(out) + + out = self.conv2(out) + out = self.bn2(out) + out = self.relu(out) + + out = self.conv3(out) + out = self.bn3(out) + + if self.downsample is not None: + residual = self.downsample(x) + + out += residual + out = self.relu(out) + + return out + + +class HourGlass(nn.Module): + def __init__(self, num_modules, depth, num_features): + super(HourGlass, self).__init__() + self.num_modules = num_modules + self.depth = depth + self.features = num_features + + self._generate_network(self.depth) + + def _generate_network(self, level): + self.add_module('b1_' + str(level), ConvBlock(self.features, self.features)) + + self.add_module('b2_' + str(level), ConvBlock(self.features, self.features)) + + if level > 1: + self._generate_network(level - 1) + else: + self.add_module('b2_plus_' + str(level), ConvBlock(self.features, self.features)) + + self.add_module('b3_' + str(level), ConvBlock(self.features, self.features)) + + def _forward(self, level, inp): + # Upper branch + up1 = inp + up1 = self._modules['b1_' + str(level)](up1) + + # Lower branch + low1 = F.avg_pool2d(inp, 2, stride=2) + low1 = self._modules['b2_' + str(level)](low1) + + if level > 1: + low2 = self._forward(level - 1, low1) + else: + low2 = low1 + low2 = self._modules['b2_plus_' + str(level)](low2) + + low3 = low2 + low3 = self._modules['b3_' + str(level)](low3) + + up2 = F.interpolate(low3, scale_factor=2, mode='nearest') + + return up1 + up2 + + def forward(self, x): + return self._forward(self.depth, x) + + +class FAN(nn.Module): + + def __init__(self, num_modules=1): + super(FAN, self).__init__() + self.num_modules = num_modules + + # Base part + self.conv1 = nn.Conv2d(3, 64, kernel_size=7, stride=2, padding=3) + self.bn1 = nn.BatchNorm2d(64) + self.conv2 = ConvBlock(64, 128) + self.conv3 = ConvBlock(128, 128) + self.conv4 = ConvBlock(128, 256) + + # Stacking part + for hg_module in range(self.num_modules): + self.add_module('m' + str(hg_module), HourGlass(1, 4, 256)) + self.add_module('top_m_' + str(hg_module), ConvBlock(256, 256)) + self.add_module('conv_last' + str(hg_module), + nn.Conv2d(256, 256, kernel_size=1, stride=1, padding=0)) + self.add_module('bn_end' + str(hg_module), nn.BatchNorm2d(256)) + self.add_module('l' + str(hg_module), nn.Conv2d(256, + 68, kernel_size=1, stride=1, padding=0)) + + if hg_module < self.num_modules - 1: + self.add_module( + 'bl' + str(hg_module), nn.Conv2d(256, 256, kernel_size=1, stride=1, padding=0)) + self.add_module('al' + str(hg_module), nn.Conv2d(68, + 256, kernel_size=1, stride=1, padding=0)) + + def forward(self, x): + x = F.relu(self.bn1(self.conv1(x)), True) + x = F.avg_pool2d(self.conv2(x), 2, stride=2) + x = self.conv3(x) + x = self.conv4(x) + + previous = x + + outputs = [] + for i in range(self.num_modules): + hg = self._modules['m' + str(i)](previous) + + ll = hg + ll = self._modules['top_m_' + str(i)](ll) + + ll = F.relu(self._modules['bn_end' + str(i)] + (self._modules['conv_last' + str(i)](ll)), True) + + # Predict heatmaps + tmp_out = self._modules['l' + str(i)](ll) + outputs.append(tmp_out) + + if i < self.num_modules - 1: + ll = self._modules['bl' + str(i)](ll) + tmp_out_ = self._modules['al' + str(i)](tmp_out) + previous = previous + ll + tmp_out_ + + return outputs + + +class ResNetDepth(nn.Module): + + def __init__(self, block=Bottleneck, layers=[3, 8, 36, 3], num_classes=68): + self.inplanes = 64 + super(ResNetDepth, self).__init__() + self.conv1 = nn.Conv2d(3 + 68, 64, kernel_size=7, stride=2, padding=3, + bias=False) + self.bn1 = nn.BatchNorm2d(64) + self.relu = nn.ReLU(inplace=True) + self.maxpool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1) + self.layer1 = self._make_layer(block, 64, layers[0]) + self.layer2 = self._make_layer(block, 128, layers[1], stride=2) + self.layer3 = self._make_layer(block, 256, layers[2], stride=2) + self.layer4 = self._make_layer(block, 512, layers[3], stride=2) + self.avgpool = nn.AvgPool2d(7) + self.fc = nn.Linear(512 * block.expansion, num_classes) + + for m in self.modules(): + if isinstance(m, nn.Conv2d): + n = m.kernel_size[0] * m.kernel_size[1] * m.out_channels + m.weight.data.normal_(0, math.sqrt(2. / n)) + elif isinstance(m, nn.BatchNorm2d): + m.weight.data.fill_(1) + m.bias.data.zero_() + + def _make_layer(self, block, planes, blocks, stride=1): + downsample = None + if stride != 1 or self.inplanes != planes * block.expansion: + downsample = nn.Sequential( + nn.Conv2d(self.inplanes, planes * block.expansion, + kernel_size=1, stride=stride, bias=False), + nn.BatchNorm2d(planes * block.expansion), + ) + + layers = [] + layers.append(block(self.inplanes, planes, stride, downsample)) + self.inplanes = planes * block.expansion + for i in range(1, blocks): + layers.append(block(self.inplanes, planes)) + + return nn.Sequential(*layers) + + def forward(self, x): + x = self.conv1(x) + x = self.bn1(x) + x = self.relu(x) + x = self.maxpool(x) + + x = self.layer1(x) + x = self.layer2(x) + x = self.layer3(x) + x = self.layer4(x) + + x = self.avgpool(x) + x = x.view(x.size(0), -1) + x = self.fc(x) + + return x diff --git a/Musetalk/musetalk/utils/face_detection/utils.py b/Musetalk/musetalk/utils/face_detection/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..3dc4cf3e328efaa227cbcfdd969e1056688adad5 --- /dev/null +++ b/Musetalk/musetalk/utils/face_detection/utils.py @@ -0,0 +1,313 @@ +from __future__ import print_function +import os +import sys +import time +import torch +import math +import numpy as np +import cv2 + + +def _gaussian( + size=3, sigma=0.25, amplitude=1, normalize=False, width=None, + height=None, sigma_horz=None, sigma_vert=None, mean_horz=0.5, + mean_vert=0.5): + # handle some defaults + if width is None: + width = size + if height is None: + height = size + if sigma_horz is None: + sigma_horz = sigma + if sigma_vert is None: + sigma_vert = sigma + center_x = mean_horz * width + 0.5 + center_y = mean_vert * height + 0.5 + gauss = np.empty((height, width), dtype=np.float32) + # generate kernel + for i in range(height): + for j in range(width): + gauss[i][j] = amplitude * math.exp(-(math.pow((j + 1 - center_x) / ( + sigma_horz * width), 2) / 2.0 + math.pow((i + 1 - center_y) / (sigma_vert * height), 2) / 2.0)) + if normalize: + gauss = gauss / np.sum(gauss) + return gauss + + +def draw_gaussian(image, point, sigma): + # Check if the gaussian is inside + ul = [math.floor(point[0] - 3 * sigma), math.floor(point[1] - 3 * sigma)] + br = [math.floor(point[0] + 3 * sigma), math.floor(point[1] + 3 * sigma)] + if (ul[0] > image.shape[1] or ul[1] > image.shape[0] or br[0] < 1 or br[1] < 1): + return image + size = 6 * sigma + 1 + g = _gaussian(size) + g_x = [int(max(1, -ul[0])), int(min(br[0], image.shape[1])) - int(max(1, ul[0])) + int(max(1, -ul[0]))] + g_y = [int(max(1, -ul[1])), int(min(br[1], image.shape[0])) - int(max(1, ul[1])) + int(max(1, -ul[1]))] + img_x = [int(max(1, ul[0])), int(min(br[0], image.shape[1]))] + img_y = [int(max(1, ul[1])), int(min(br[1], image.shape[0]))] + assert (g_x[0] > 0 and g_y[1] > 0) + image[img_y[0] - 1:img_y[1], img_x[0] - 1:img_x[1] + ] = image[img_y[0] - 1:img_y[1], img_x[0] - 1:img_x[1]] + g[g_y[0] - 1:g_y[1], g_x[0] - 1:g_x[1]] + image[image > 1] = 1 + return image + + +def transform(point, center, scale, resolution, invert=False): + """Generate and affine transformation matrix. + + Given a set of points, a center, a scale and a targer resolution, the + function generates and affine transformation matrix. If invert is ``True`` + it will produce the inverse transformation. + + Arguments: + point {torch.tensor} -- the input 2D point + center {torch.tensor or numpy.array} -- the center around which to perform the transformations + scale {float} -- the scale of the face/object + resolution {float} -- the output resolution + + Keyword Arguments: + invert {bool} -- define wherever the function should produce the direct or the + inverse transformation matrix (default: {False}) + """ + _pt = torch.ones(3) + _pt[0] = point[0] + _pt[1] = point[1] + + h = 200.0 * scale + t = torch.eye(3) + t[0, 0] = resolution / h + t[1, 1] = resolution / h + t[0, 2] = resolution * (-center[0] / h + 0.5) + t[1, 2] = resolution * (-center[1] / h + 0.5) + + if invert: + t = torch.inverse(t) + + new_point = (torch.matmul(t, _pt))[0:2] + + return new_point.int() + + +def crop(image, center, scale, resolution=256.0): + """Center crops an image or set of heatmaps + + Arguments: + image {numpy.array} -- an rgb image + center {numpy.array} -- the center of the object, usually the same as of the bounding box + scale {float} -- scale of the face + + Keyword Arguments: + resolution {float} -- the size of the output cropped image (default: {256.0}) + + Returns: + [type] -- [description] + """ # Crop around the center point + """ Crops the image around the center. Input is expected to be an np.ndarray """ + ul = transform([1, 1], center, scale, resolution, True) + br = transform([resolution, resolution], center, scale, resolution, True) + # pad = math.ceil(torch.norm((ul - br).float()) / 2.0 - (br[0] - ul[0]) / 2.0) + if image.ndim > 2: + newDim = np.array([br[1] - ul[1], br[0] - ul[0], + image.shape[2]], dtype=np.int32) + newImg = np.zeros(newDim, dtype=np.uint8) + else: + newDim = np.array([br[1] - ul[1], br[0] - ul[0]], dtype=np.int) + newImg = np.zeros(newDim, dtype=np.uint8) + ht = image.shape[0] + wd = image.shape[1] + newX = np.array( + [max(1, -ul[0] + 1), min(br[0], wd) - ul[0]], dtype=np.int32) + newY = np.array( + [max(1, -ul[1] + 1), min(br[1], ht) - ul[1]], dtype=np.int32) + oldX = np.array([max(1, ul[0] + 1), min(br[0], wd)], dtype=np.int32) + oldY = np.array([max(1, ul[1] + 1), min(br[1], ht)], dtype=np.int32) + newImg[newY[0] - 1:newY[1], newX[0] - 1:newX[1] + ] = image[oldY[0] - 1:oldY[1], oldX[0] - 1:oldX[1], :] + newImg = cv2.resize(newImg, dsize=(int(resolution), int(resolution)), + interpolation=cv2.INTER_LINEAR) + return newImg + + +def get_preds_fromhm(hm, center=None, scale=None): + """Obtain (x,y) coordinates given a set of N heatmaps. If the center + and the scale is provided the function will return the points also in + the original coordinate frame. + + Arguments: + hm {torch.tensor} -- the predicted heatmaps, of shape [B, N, W, H] + + Keyword Arguments: + center {torch.tensor} -- the center of the bounding box (default: {None}) + scale {float} -- face scale (default: {None}) + """ + max, idx = torch.max( + hm.view(hm.size(0), hm.size(1), hm.size(2) * hm.size(3)), 2) + idx += 1 + preds = idx.view(idx.size(0), idx.size(1), 1).repeat(1, 1, 2).float() + preds[..., 0].apply_(lambda x: (x - 1) % hm.size(3) + 1) + preds[..., 1].add_(-1).div_(hm.size(2)).floor_().add_(1) + + for i in range(preds.size(0)): + for j in range(preds.size(1)): + hm_ = hm[i, j, :] + pX, pY = int(preds[i, j, 0]) - 1, int(preds[i, j, 1]) - 1 + if pX > 0 and pX < 63 and pY > 0 and pY < 63: + diff = torch.FloatTensor( + [hm_[pY, pX + 1] - hm_[pY, pX - 1], + hm_[pY + 1, pX] - hm_[pY - 1, pX]]) + preds[i, j].add_(diff.sign_().mul_(.25)) + + preds.add_(-.5) + + preds_orig = torch.zeros(preds.size()) + if center is not None and scale is not None: + for i in range(hm.size(0)): + for j in range(hm.size(1)): + preds_orig[i, j] = transform( + preds[i, j], center, scale, hm.size(2), True) + + return preds, preds_orig + +def get_preds_fromhm_batch(hm, centers=None, scales=None): + """Obtain (x,y) coordinates given a set of N heatmaps. If the centers + and the scales is provided the function will return the points also in + the original coordinate frame. + + Arguments: + hm {torch.tensor} -- the predicted heatmaps, of shape [B, N, W, H] + + Keyword Arguments: + centers {torch.tensor} -- the centers of the bounding box (default: {None}) + scales {float} -- face scales (default: {None}) + """ + max, idx = torch.max( + hm.view(hm.size(0), hm.size(1), hm.size(2) * hm.size(3)), 2) + idx += 1 + preds = idx.view(idx.size(0), idx.size(1), 1).repeat(1, 1, 2).float() + preds[..., 0].apply_(lambda x: (x - 1) % hm.size(3) + 1) + preds[..., 1].add_(-1).div_(hm.size(2)).floor_().add_(1) + + for i in range(preds.size(0)): + for j in range(preds.size(1)): + hm_ = hm[i, j, :] + pX, pY = int(preds[i, j, 0]) - 1, int(preds[i, j, 1]) - 1 + if pX > 0 and pX < 63 and pY > 0 and pY < 63: + diff = torch.FloatTensor( + [hm_[pY, pX + 1] - hm_[pY, pX - 1], + hm_[pY + 1, pX] - hm_[pY - 1, pX]]) + preds[i, j].add_(diff.sign_().mul_(.25)) + + preds.add_(-.5) + + preds_orig = torch.zeros(preds.size()) + if centers is not None and scales is not None: + for i in range(hm.size(0)): + for j in range(hm.size(1)): + preds_orig[i, j] = transform( + preds[i, j], centers[i], scales[i], hm.size(2), True) + + return preds, preds_orig + +def shuffle_lr(parts, pairs=None): + """Shuffle the points left-right according to the axis of symmetry + of the object. + + Arguments: + parts {torch.tensor} -- a 3D or 4D object containing the + heatmaps. + + Keyword Arguments: + pairs {list of integers} -- [order of the flipped points] (default: {None}) + """ + if pairs is None: + pairs = [16, 15, 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0, + 26, 25, 24, 23, 22, 21, 20, 19, 18, 17, 27, 28, 29, 30, 35, + 34, 33, 32, 31, 45, 44, 43, 42, 47, 46, 39, 38, 37, 36, 41, + 40, 54, 53, 52, 51, 50, 49, 48, 59, 58, 57, 56, 55, 64, 63, + 62, 61, 60, 67, 66, 65] + if parts.ndimension() == 3: + parts = parts[pairs, ...] + else: + parts = parts[:, pairs, ...] + + return parts + + +def flip(tensor, is_label=False): + """Flip an image or a set of heatmaps left-right + + Arguments: + tensor {numpy.array or torch.tensor} -- [the input image or heatmaps] + + Keyword Arguments: + is_label {bool} -- [denote wherever the input is an image or a set of heatmaps ] (default: {False}) + """ + if not torch.is_tensor(tensor): + tensor = torch.from_numpy(tensor) + + if is_label: + tensor = shuffle_lr(tensor).flip(tensor.ndimension() - 1) + else: + tensor = tensor.flip(tensor.ndimension() - 1) + + return tensor + +# From pyzolib/paths.py (https://bitbucket.org/pyzo/pyzolib/src/tip/paths.py) + + +def appdata_dir(appname=None, roaming=False): + """ appdata_dir(appname=None, roaming=False) + + Get the path to the application directory, where applications are allowed + to write user specific files (e.g. configurations). For non-user specific + data, consider using common_appdata_dir(). + If appname is given, a subdir is appended (and created if necessary). + If roaming is True, will prefer a roaming directory (Windows Vista/7). + """ + + # Define default user directory + userDir = os.getenv('FACEALIGNMENT_USERDIR', None) + if userDir is None: + userDir = os.path.expanduser('~') + if not os.path.isdir(userDir): # pragma: no cover + userDir = '/var/tmp' # issue #54 + + # Get system app data dir + path = None + if sys.platform.startswith('win'): + path1, path2 = os.getenv('LOCALAPPDATA'), os.getenv('APPDATA') + path = (path2 or path1) if roaming else (path1 or path2) + elif sys.platform.startswith('darwin'): + path = os.path.join(userDir, 'Library', 'Application Support') + # On Linux and as fallback + if not (path and os.path.isdir(path)): + path = userDir + + # Maybe we should store things local to the executable (in case of a + # portable distro or a frozen application that wants to be portable) + prefix = sys.prefix + if getattr(sys, 'frozen', None): + prefix = os.path.abspath(os.path.dirname(sys.executable)) + for reldir in ('settings', '../settings'): + localpath = os.path.abspath(os.path.join(prefix, reldir)) + if os.path.isdir(localpath): # pragma: no cover + try: + open(os.path.join(localpath, 'test.write'), 'wb').close() + os.remove(os.path.join(localpath, 'test.write')) + except IOError: + pass # We cannot write in this directory + else: + path = localpath + break + + # Get path specific for this app + if appname: + if path == userDir: + appname = '.' + appname.lstrip('.') # Make it a hidden directory + path = os.path.join(path, appname) + if not os.path.isdir(path): # pragma: no cover + os.mkdir(path) + + # Done + return path diff --git a/Musetalk/musetalk/utils/face_parsing/__init__.py b/Musetalk/musetalk/utils/face_parsing/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..ed67fe15f064198e98df69435c616850ee64213a --- /dev/null +++ b/Musetalk/musetalk/utils/face_parsing/__init__.py @@ -0,0 +1,56 @@ +import torch +import time +import os +import cv2 +import numpy as np +from PIL import Image +from .model import BiSeNet +import torchvision.transforms as transforms + +class FaceParsing(): + def __init__(self): + self.net = self.model_init() + self.preprocess = self.image_preprocess() + + def model_init(self, + resnet_path='./Musetalk/models/face-parse-bisent/resnet18-5c106cde.pth', + model_pth='./Musetalk/models/face-parse-bisent/79999_iter.pth'): + net = BiSeNet(resnet_path) + if torch.cuda.is_available(): + net.cuda() + net.load_state_dict(torch.load(model_pth)) + else: + net.load_state_dict(torch.load(model_pth, map_location=torch.device('cpu'))) + net.eval() + return net + + def image_preprocess(self): + return transforms.Compose([ + transforms.ToTensor(), + transforms.Normalize((0.485, 0.456, 0.406), (0.229, 0.224, 0.225)), + ]) + + def __call__(self, image, size=(512, 512)): + if isinstance(image, str): + image = Image.open(image) + + width, height = image.size + with torch.no_grad(): + image = image.resize(size, Image.BILINEAR) + img = self.preprocess(image) + if torch.cuda.is_available(): + img = torch.unsqueeze(img, 0).cuda() + else: + img = torch.unsqueeze(img, 0) + out = self.net(img)[0] + parsing = out.squeeze(0).cpu().numpy().argmax(0) + parsing[np.where(parsing>13)] = 0 + parsing[np.where(parsing>=1)] = 255 + parsing = Image.fromarray(parsing.astype(np.uint8)) + return parsing + +if __name__ == "__main__": + fp = FaceParsing() + segmap = fp('154_small.png') + segmap.save('res.png') + diff --git a/Musetalk/musetalk/utils/face_parsing/model.py b/Musetalk/musetalk/utils/face_parsing/model.py new file mode 100644 index 0000000000000000000000000000000000000000..13d13e03b38508216615ac15cb42e3ea0db2d76a --- /dev/null +++ b/Musetalk/musetalk/utils/face_parsing/model.py @@ -0,0 +1,283 @@ +#!/usr/bin/python +# -*- encoding: utf-8 -*- + + +import torch +import torch.nn as nn +import torch.nn.functional as F +import torchvision + +from .resnet import Resnet18 +# from modules.bn import InPlaceABNSync as BatchNorm2d + + +class ConvBNReLU(nn.Module): + def __init__(self, in_chan, out_chan, ks=3, stride=1, padding=1, *args, **kwargs): + super(ConvBNReLU, self).__init__() + self.conv = nn.Conv2d(in_chan, + out_chan, + kernel_size = ks, + stride = stride, + padding = padding, + bias = False) + self.bn = nn.BatchNorm2d(out_chan) + self.init_weight() + + def forward(self, x): + x = self.conv(x) + x = F.relu(self.bn(x)) + return x + + def init_weight(self): + for ly in self.children(): + if isinstance(ly, nn.Conv2d): + nn.init.kaiming_normal_(ly.weight, a=1) + if not ly.bias is None: nn.init.constant_(ly.bias, 0) + +class BiSeNetOutput(nn.Module): + def __init__(self, in_chan, mid_chan, n_classes, *args, **kwargs): + super(BiSeNetOutput, self).__init__() + self.conv = ConvBNReLU(in_chan, mid_chan, ks=3, stride=1, padding=1) + self.conv_out = nn.Conv2d(mid_chan, n_classes, kernel_size=1, bias=False) + self.init_weight() + + def forward(self, x): + x = self.conv(x) + x = self.conv_out(x) + return x + + def init_weight(self): + for ly in self.children(): + if isinstance(ly, nn.Conv2d): + nn.init.kaiming_normal_(ly.weight, a=1) + if not ly.bias is None: nn.init.constant_(ly.bias, 0) + + def get_params(self): + wd_params, nowd_params = [], [] + for name, module in self.named_modules(): + if isinstance(module, nn.Linear) or isinstance(module, nn.Conv2d): + wd_params.append(module.weight) + if not module.bias is None: + nowd_params.append(module.bias) + elif isinstance(module, nn.BatchNorm2d): + nowd_params += list(module.parameters()) + return wd_params, nowd_params + + +class AttentionRefinementModule(nn.Module): + def __init__(self, in_chan, out_chan, *args, **kwargs): + super(AttentionRefinementModule, self).__init__() + self.conv = ConvBNReLU(in_chan, out_chan, ks=3, stride=1, padding=1) + self.conv_atten = nn.Conv2d(out_chan, out_chan, kernel_size= 1, bias=False) + self.bn_atten = nn.BatchNorm2d(out_chan) + self.sigmoid_atten = nn.Sigmoid() + self.init_weight() + + def forward(self, x): + feat = self.conv(x) + atten = F.avg_pool2d(feat, feat.size()[2:]) + atten = self.conv_atten(atten) + atten = self.bn_atten(atten) + atten = self.sigmoid_atten(atten) + out = torch.mul(feat, atten) + return out + + def init_weight(self): + for ly in self.children(): + if isinstance(ly, nn.Conv2d): + nn.init.kaiming_normal_(ly.weight, a=1) + if not ly.bias is None: nn.init.constant_(ly.bias, 0) + + +class ContextPath(nn.Module): + def __init__(self, resnet_path, *args, **kwargs): + super(ContextPath, self).__init__() + self.resnet = Resnet18(resnet_path) + self.arm16 = AttentionRefinementModule(256, 128) + self.arm32 = AttentionRefinementModule(512, 128) + self.conv_head32 = ConvBNReLU(128, 128, ks=3, stride=1, padding=1) + self.conv_head16 = ConvBNReLU(128, 128, ks=3, stride=1, padding=1) + self.conv_avg = ConvBNReLU(512, 128, ks=1, stride=1, padding=0) + + self.init_weight() + + def forward(self, x): + H0, W0 = x.size()[2:] + feat8, feat16, feat32 = self.resnet(x) + H8, W8 = feat8.size()[2:] + H16, W16 = feat16.size()[2:] + H32, W32 = feat32.size()[2:] + + avg = F.avg_pool2d(feat32, feat32.size()[2:]) + avg = self.conv_avg(avg) + avg_up = F.interpolate(avg, (H32, W32), mode='nearest') + + feat32_arm = self.arm32(feat32) + feat32_sum = feat32_arm + avg_up + feat32_up = F.interpolate(feat32_sum, (H16, W16), mode='nearest') + feat32_up = self.conv_head32(feat32_up) + + feat16_arm = self.arm16(feat16) + feat16_sum = feat16_arm + feat32_up + feat16_up = F.interpolate(feat16_sum, (H8, W8), mode='nearest') + feat16_up = self.conv_head16(feat16_up) + + return feat8, feat16_up, feat32_up # x8, x8, x16 + + def init_weight(self): + for ly in self.children(): + if isinstance(ly, nn.Conv2d): + nn.init.kaiming_normal_(ly.weight, a=1) + if not ly.bias is None: nn.init.constant_(ly.bias, 0) + + def get_params(self): + wd_params, nowd_params = [], [] + for name, module in self.named_modules(): + if isinstance(module, (nn.Linear, nn.Conv2d)): + wd_params.append(module.weight) + if not module.bias is None: + nowd_params.append(module.bias) + elif isinstance(module, nn.BatchNorm2d): + nowd_params += list(module.parameters()) + return wd_params, nowd_params + + +### This is not used, since I replace this with the resnet feature with the same size +class SpatialPath(nn.Module): + def __init__(self, *args, **kwargs): + super(SpatialPath, self).__init__() + self.conv1 = ConvBNReLU(3, 64, ks=7, stride=2, padding=3) + self.conv2 = ConvBNReLU(64, 64, ks=3, stride=2, padding=1) + self.conv3 = ConvBNReLU(64, 64, ks=3, stride=2, padding=1) + self.conv_out = ConvBNReLU(64, 128, ks=1, stride=1, padding=0) + self.init_weight() + + def forward(self, x): + feat = self.conv1(x) + feat = self.conv2(feat) + feat = self.conv3(feat) + feat = self.conv_out(feat) + return feat + + def init_weight(self): + for ly in self.children(): + if isinstance(ly, nn.Conv2d): + nn.init.kaiming_normal_(ly.weight, a=1) + if not ly.bias is None: nn.init.constant_(ly.bias, 0) + + def get_params(self): + wd_params, nowd_params = [], [] + for name, module in self.named_modules(): + if isinstance(module, nn.Linear) or isinstance(module, nn.Conv2d): + wd_params.append(module.weight) + if not module.bias is None: + nowd_params.append(module.bias) + elif isinstance(module, nn.BatchNorm2d): + nowd_params += list(module.parameters()) + return wd_params, nowd_params + + +class FeatureFusionModule(nn.Module): + def __init__(self, in_chan, out_chan, *args, **kwargs): + super(FeatureFusionModule, self).__init__() + self.convblk = ConvBNReLU(in_chan, out_chan, ks=1, stride=1, padding=0) + self.conv1 = nn.Conv2d(out_chan, + out_chan//4, + kernel_size = 1, + stride = 1, + padding = 0, + bias = False) + self.conv2 = nn.Conv2d(out_chan//4, + out_chan, + kernel_size = 1, + stride = 1, + padding = 0, + bias = False) + self.relu = nn.ReLU(inplace=True) + self.sigmoid = nn.Sigmoid() + self.init_weight() + + def forward(self, fsp, fcp): + fcat = torch.cat([fsp, fcp], dim=1) + feat = self.convblk(fcat) + atten = F.avg_pool2d(feat, feat.size()[2:]) + atten = self.conv1(atten) + atten = self.relu(atten) + atten = self.conv2(atten) + atten = self.sigmoid(atten) + feat_atten = torch.mul(feat, atten) + feat_out = feat_atten + feat + return feat_out + + def init_weight(self): + for ly in self.children(): + if isinstance(ly, nn.Conv2d): + nn.init.kaiming_normal_(ly.weight, a=1) + if not ly.bias is None: nn.init.constant_(ly.bias, 0) + + def get_params(self): + wd_params, nowd_params = [], [] + for name, module in self.named_modules(): + if isinstance(module, nn.Linear) or isinstance(module, nn.Conv2d): + wd_params.append(module.weight) + if not module.bias is None: + nowd_params.append(module.bias) + elif isinstance(module, nn.BatchNorm2d): + nowd_params += list(module.parameters()) + return wd_params, nowd_params + + +class BiSeNet(nn.Module): + def __init__(self, resnet_path='models/resnet18-5c106cde.pth', n_classes=19, *args, **kwargs): + super(BiSeNet, self).__init__() + self.cp = ContextPath(resnet_path) + ## here self.sp is deleted + self.ffm = FeatureFusionModule(256, 256) + self.conv_out = BiSeNetOutput(256, 256, n_classes) + self.conv_out16 = BiSeNetOutput(128, 64, n_classes) + self.conv_out32 = BiSeNetOutput(128, 64, n_classes) + self.init_weight() + + def forward(self, x): + H, W = x.size()[2:] + feat_res8, feat_cp8, feat_cp16 = self.cp(x) # here return res3b1 feature + feat_sp = feat_res8 # use res3b1 feature to replace spatial path feature + feat_fuse = self.ffm(feat_sp, feat_cp8) + + feat_out = self.conv_out(feat_fuse) + feat_out16 = self.conv_out16(feat_cp8) + feat_out32 = self.conv_out32(feat_cp16) + + feat_out = F.interpolate(feat_out, (H, W), mode='bilinear', align_corners=True) + feat_out16 = F.interpolate(feat_out16, (H, W), mode='bilinear', align_corners=True) + feat_out32 = F.interpolate(feat_out32, (H, W), mode='bilinear', align_corners=True) + return feat_out, feat_out16, feat_out32 + + def init_weight(self): + for ly in self.children(): + if isinstance(ly, nn.Conv2d): + nn.init.kaiming_normal_(ly.weight, a=1) + if not ly.bias is None: nn.init.constant_(ly.bias, 0) + + def get_params(self): + wd_params, nowd_params, lr_mul_wd_params, lr_mul_nowd_params = [], [], [], [] + for name, child in self.named_children(): + child_wd_params, child_nowd_params = child.get_params() + if isinstance(child, FeatureFusionModule) or isinstance(child, BiSeNetOutput): + lr_mul_wd_params += child_wd_params + lr_mul_nowd_params += child_nowd_params + else: + wd_params += child_wd_params + nowd_params += child_nowd_params + return wd_params, nowd_params, lr_mul_wd_params, lr_mul_nowd_params + + +if __name__ == "__main__": + net = BiSeNet(19) + net.cuda() + net.eval() + in_ten = torch.randn(16, 3, 640, 480).cuda() + out, out16, out32 = net(in_ten) + print(out.shape) + + net.get_params() diff --git a/Musetalk/musetalk/utils/face_parsing/resnet.py b/Musetalk/musetalk/utils/face_parsing/resnet.py new file mode 100644 index 0000000000000000000000000000000000000000..e2e5d87e34439e42f85b1cf80e83b750b4a38eac --- /dev/null +++ b/Musetalk/musetalk/utils/face_parsing/resnet.py @@ -0,0 +1,109 @@ +#!/usr/bin/python +# -*- encoding: utf-8 -*- + +import torch +import torch.nn as nn +import torch.nn.functional as F +import torch.utils.model_zoo as modelzoo + +# from modules.bn import InPlaceABNSync as BatchNorm2d + +resnet18_url = 'https://download.pytorch.org/models/resnet18-5c106cde.pth' + + +def conv3x3(in_planes, out_planes, stride=1): + """3x3 convolution with padding""" + return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride, + padding=1, bias=False) + + +class BasicBlock(nn.Module): + def __init__(self, in_chan, out_chan, stride=1): + super(BasicBlock, self).__init__() + self.conv1 = conv3x3(in_chan, out_chan, stride) + self.bn1 = nn.BatchNorm2d(out_chan) + self.conv2 = conv3x3(out_chan, out_chan) + self.bn2 = nn.BatchNorm2d(out_chan) + self.relu = nn.ReLU(inplace=True) + self.downsample = None + if in_chan != out_chan or stride != 1: + self.downsample = nn.Sequential( + nn.Conv2d(in_chan, out_chan, + kernel_size=1, stride=stride, bias=False), + nn.BatchNorm2d(out_chan), + ) + + def forward(self, x): + residual = self.conv1(x) + residual = F.relu(self.bn1(residual)) + residual = self.conv2(residual) + residual = self.bn2(residual) + + shortcut = x + if self.downsample is not None: + shortcut = self.downsample(x) + + out = shortcut + residual + out = self.relu(out) + return out + + +def create_layer_basic(in_chan, out_chan, bnum, stride=1): + layers = [BasicBlock(in_chan, out_chan, stride=stride)] + for i in range(bnum-1): + layers.append(BasicBlock(out_chan, out_chan, stride=1)) + return nn.Sequential(*layers) + + +class Resnet18(nn.Module): + def __init__(self, model_path): + super(Resnet18, self).__init__() + self.conv1 = nn.Conv2d(3, 64, kernel_size=7, stride=2, padding=3, + bias=False) + self.bn1 = nn.BatchNorm2d(64) + self.maxpool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1) + self.layer1 = create_layer_basic(64, 64, bnum=2, stride=1) + self.layer2 = create_layer_basic(64, 128, bnum=2, stride=2) + self.layer3 = create_layer_basic(128, 256, bnum=2, stride=2) + self.layer4 = create_layer_basic(256, 512, bnum=2, stride=2) + self.init_weight(model_path) + + def forward(self, x): + x = self.conv1(x) + x = F.relu(self.bn1(x)) + x = self.maxpool(x) + + x = self.layer1(x) + feat8 = self.layer2(x) # 1/8 + feat16 = self.layer3(feat8) # 1/16 + feat32 = self.layer4(feat16) # 1/32 + return feat8, feat16, feat32 + + def init_weight(self, model_path): + state_dict = torch.load(model_path) #modelzoo.load_url(resnet18_url) + self_state_dict = self.state_dict() + for k, v in state_dict.items(): + if 'fc' in k: continue + self_state_dict.update({k: v}) + self.load_state_dict(self_state_dict) + + def get_params(self): + wd_params, nowd_params = [], [] + for name, module in self.named_modules(): + if isinstance(module, (nn.Linear, nn.Conv2d)): + wd_params.append(module.weight) + if not module.bias is None: + nowd_params.append(module.bias) + elif isinstance(module, nn.BatchNorm2d): + nowd_params += list(module.parameters()) + return wd_params, nowd_params + + +if __name__ == "__main__": + net = Resnet18() + x = torch.randn(16, 3, 224, 224) + out = net(x) + print(out[0].size()) + print(out[1].size()) + print(out[2].size()) + net.get_params() diff --git a/Musetalk/musetalk/utils/preprocessing.py b/Musetalk/musetalk/utils/preprocessing.py new file mode 100644 index 0000000000000000000000000000000000000000..1b9500a6b285bd6ed047c09d1b8082d8d3088bbf --- /dev/null +++ b/Musetalk/musetalk/utils/preprocessing.py @@ -0,0 +1,156 @@ +import sys +from face_detection import FaceAlignment,LandmarksType +from os import listdir, path +import subprocess +import numpy as np +import cv2 +import pickle +import os +import json +from mmpose.apis import inference_topdown, init_model +from mmpose.structures import merge_data_samples +import torch +from tqdm import tqdm + +# initialize the mmpose model +device = torch.device("cuda" if torch.cuda.is_available() else "cpu") +config_file = './Musetalk/musetalk/utils/dwpose/rtmpose-l_8xb32-270e_coco-ubody-wholebody-384x288.py' +checkpoint_file = './Musetalk/models/dwpose/dw-ll_ucoco_384.pth' +model = init_model(config_file, checkpoint_file, device=device) + +# initialize the face detection model +device = "cuda" if torch.cuda.is_available() else "cpu" +fa = FaceAlignment(LandmarksType._2D, flip_input=False,device=device) + +# maker if the bbox is not sufficient +coord_placeholder = (0.0,0.0,0.0,0.0) + +def resize_landmark(landmark, w, h, new_w, new_h): + w_ratio = new_w / w + h_ratio = new_h / h + landmark_norm = landmark / [w, h] + landmark_resized = landmark_norm * [new_w, new_h] + return landmark_resized + +def read_imgs(img_list): + frames = [] + print('reading images...') + for img_path in tqdm(img_list): + frame = cv2.imread(img_path) + frames.append(frame) + return frames + +def get_bbox_range(img_list,upperbondrange =0): + frames = read_imgs(img_list) + batch_size_fa = 1 + batches = [frames[i:i + batch_size_fa] for i in range(0, len(frames), batch_size_fa)] + coords_list = [] + landmarks = [] + if upperbondrange != 0: + print('get key_landmark and face bounding boxes with the bbox_shift:',upperbondrange) + else: + print('get key_landmark and face bounding boxes with the default value') + average_range_minus = [] + average_range_plus = [] + for fb in tqdm(batches): + results = inference_topdown(model, np.asarray(fb)[0]) + results = merge_data_samples(results) + keypoints = results.pred_instances.keypoints + face_land_mark= keypoints[0][23:91] + face_land_mark = face_land_mark.astype(np.int32) + + # get bounding boxes by face detetion + bbox = fa.get_detections_for_batch(np.asarray(fb)) + + # adjust the bounding box refer to landmark + # Add the bounding box to a tuple and append it to the coordinates list + for j, f in enumerate(bbox): + if f is None: # no face in the image + coords_list += [coord_placeholder] + continue + + half_face_coord = face_land_mark[29]#np.mean([face_land_mark[28], face_land_mark[29]], axis=0) + range_minus = (face_land_mark[30]- face_land_mark[29])[1] + range_plus = (face_land_mark[29]- face_land_mark[28])[1] + average_range_minus.append(range_minus) + average_range_plus.append(range_plus) + if upperbondrange != 0: + half_face_coord[1] = upperbondrange+half_face_coord[1] #手动调整 + 向下（偏29） - 向上（偏28） + + text_range=f"Total frame:「{len(frames)}」 Manually adjust range : [ -{int(sum(average_range_minus) / len(average_range_minus))}~{int(sum(average_range_plus) / len(average_range_plus))} ] , the current value: {upperbondrange}" + return text_range + + +def get_landmark_and_bbox(img_list,upperbondrange =0): + frames = read_imgs(img_list) + batch_size_fa = 1 + batches = [frames[i:i + batch_size_fa] for i in range(0, len(frames), batch_size_fa)] + coords_list = [] + landmarks = [] + if upperbondrange != 0: + print('get key_landmark and face bounding boxes with the bbox_shift:',upperbondrange) + else: + print('get key_landmark and face bounding boxes with the default value') + average_range_minus = [] + average_range_plus = [] + for fb in tqdm(batches): + results = inference_topdown(model, np.asarray(fb)[0]) + results = merge_data_samples(results) + keypoints = results.pred_instances.keypoints + face_land_mark= keypoints[0][23:91] + face_land_mark = face_land_mark.astype(np.int32) + + # get bounding boxes by face detetion + bbox = fa.get_detections_for_batch(np.asarray(fb)) + + # adjust the bounding box refer to landmark + # Add the bounding box to a tuple and append it to the coordinates list + for j, f in enumerate(bbox): + if f is None: # no face in the image + coords_list += [coord_placeholder] + continue + + half_face_coord = face_land_mark[29]#np.mean([face_land_mark[28], face_land_mark[29]], axis=0) + range_minus = (face_land_mark[30]- face_land_mark[29])[1] + range_plus = (face_land_mark[29]- face_land_mark[28])[1] + average_range_minus.append(range_minus) + average_range_plus.append(range_plus) + if upperbondrange != 0: + half_face_coord[1] = upperbondrange+half_face_coord[1] #手动调整 + 向下（偏29） - 向上（偏28） + half_face_dist = np.max(face_land_mark[:,1]) - half_face_coord[1] + upper_bond = half_face_coord[1]-half_face_dist + + f_landmark = (np.min(face_land_mark[:, 0]),int(upper_bond),np.max(face_land_mark[:, 0]),np.max(face_land_mark[:,1])) + x1, y1, x2, y2 = f_landmark + + if y2-y1<=0 or x2-x1<=0 or x1<0: # if the landmark bbox is not suitable, reuse the bbox + coords_list += [f] + w,h = f[2]-f[0], f[3]-f[1] + print("error bbox:",f) + else: + coords_list += [f_landmark] + + print("********************************************bbox_shift parameter adjustment**********************************************************") + print(f"Total frame:「{len(frames)}」 Manually adjust range : [ -{int(sum(average_range_minus) / len(average_range_minus))}~{int(sum(average_range_plus) / len(average_range_plus))} ] , the current value: {upperbondrange}") + print("*************************************************************************************************************************************") + text_range=f"Total frame:「{len(frames)}」 Manually adjust range : [ -{int(sum(average_range_minus) / len(average_range_minus))}~{int(sum(average_range_plus) / len(average_range_plus))} ] , the current value: {upperbondrange}" + + return coords_list, frames, text_range + + +if __name__ == "__main__": + img_list = ["./results/lyria/00000.png","./results/lyria/00001.png","./results/lyria/00002.png","./results/lyria/00003.png"] + crop_coord_path = "./coord_face.pkl" + coords_list,full_frames = get_landmark_and_bbox(img_list) + with open(crop_coord_path, 'wb') as f: + pickle.dump(coords_list, f) + + for bbox, frame in zip(coords_list,full_frames): + if bbox == coord_placeholder: + continue + x1, y1, x2, y2 = bbox + crop_frame = frame[y1:y2, x1:x2] + print('Cropped shape', crop_frame.shape) + + #cv2.imwrite(path.join(save_dir, '{}.png'.format(i)),full_frames[i][0][y1:y2, x1:x2]) + print(coords_list) diff --git a/Musetalk/musetalk/utils/utils.py b/Musetalk/musetalk/utils/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..d2ebfa63a06ab4a7ce6426f5aa052c5641934b01 --- /dev/null +++ b/Musetalk/musetalk/utils/utils.py @@ -0,0 +1,65 @@ +import os +import cv2 +import numpy as np +import torch + +ffmpeg_path = "ffmpeg" +os.environ["PATH"] = f"{ffmpeg_path}:{os.environ['PATH']}" +# if ffmpeg_path is None: +# print("please download ffmpeg-static and export to FFMPEG_PATH. \nFor example: export FFMPEG_PATH=/musetalk/ffmpeg-4.4-amd64-static") +# elif ffmpeg_path not in os.getenv('PATH'): +# print("add ffmpeg to path") +# os.environ["PATH"] = f"{ffmpeg_path}:{os.environ['PATH']}" + + +from musetalk.whisper.audio2feature import Audio2Feature +from musetalk.models.vae import VAE +from musetalk.models.unet import UNet,PositionalEncoding + +def load_all_model(): + audio_processor = Audio2Feature(model_path="./Musetalk/models/whisper/tiny.pt") + vae = VAE(model_path = "./Musetalk/models/sd-vae-ft-mse/") + unet = UNet(unet_config="./Musetalk/models/musetalk/musetalk.json", + model_path ="./Musetalk/models/musetalk/pytorch_model.bin") + pe = PositionalEncoding(d_model=384) + return audio_processor,vae,unet,pe + +def get_file_type(video_path): + _, ext = os.path.splitext(video_path) + + if ext.lower() in ['.jpg', '.jpeg', '.png', '.bmp', '.tif', '.tiff']: + return 'image' + elif ext.lower() in ['.avi', '.mp4', '.mov', '.flv', '.mkv']: + return 'video' + else: + return 'unsupported' + +def get_video_fps(video_path): + video = cv2.VideoCapture(video_path) + fps = video.get(cv2.CAP_PROP_FPS) + video.release() + return fps + +def datagen(whisper_chunks, + vae_encode_latents, + batch_size=8, + delay_frame=0): + whisper_batch, latent_batch = [], [] + for i, w in enumerate(whisper_chunks): + idx = (i+delay_frame)%len(vae_encode_latents) + latent = vae_encode_latents[idx] + whisper_batch.append(w) + latent_batch.append(latent) + + if len(latent_batch) >= batch_size: + whisper_batch = np.stack(whisper_batch) + latent_batch = torch.cat(latent_batch, dim=0) + yield whisper_batch, latent_batch + whisper_batch, latent_batch = [], [] + + # the last batch may smaller than batch size + if len(latent_batch) > 0: + whisper_batch = np.stack(whisper_batch) + latent_batch = torch.cat(latent_batch, dim=0) + + yield whisper_batch, latent_batch diff --git a/Musetalk/musetalk/whisper/audio2feature.py b/Musetalk/musetalk/whisper/audio2feature.py new file mode 100644 index 0000000000000000000000000000000000000000..2cfd3a9af14ff2fa4c77944371b264c7dd759d7c --- /dev/null +++ b/Musetalk/musetalk/whisper/audio2feature.py @@ -0,0 +1,128 @@ +import os +from .whisper import load_model +import soundfile as sf +import numpy as np +import time +import sys +sys.path.append("..") + +class Audio2Feature(): + def __init__(self, + whisper_model_type="tiny", + model_path="./models/whisper/tiny.pt"): + self.whisper_model_type = whisper_model_type + self.model = load_model(model_path) # + + def get_sliced_feature(self, + feature_array, + vid_idx, + audio_feat_length=[2,2], + fps=25): + """ + Get sliced features based on a given index + :param feature_array: + :param start_idx: the start index of the feature + :param audio_feat_length: + :return: + """ + length = len(feature_array) + selected_feature = [] + selected_idx = [] + + center_idx = int(vid_idx*50/fps) + left_idx = center_idx-audio_feat_length[0]*2 + right_idx = center_idx + (audio_feat_length[1]+1)*2 + + for idx in range(left_idx,right_idx): + idx = max(0, idx) + idx = min(length-1, idx) + x = feature_array[idx] + selected_feature.append(x) + selected_idx.append(idx) + + selected_feature = np.concatenate(selected_feature, axis=0) + selected_feature = selected_feature.reshape(-1, 384)# 50*384 + return selected_feature,selected_idx + + def get_sliced_feature_sparse(self,feature_array, vid_idx, audio_feat_length= [2,2],fps = 25): + """ + Get sliced features based on a given index + :param feature_array: + :param start_idx: the start index of the feature + :param audio_feat_length: + :return: + """ + length = len(feature_array) + selected_feature = [] + selected_idx = [] + + for dt in range(-audio_feat_length[0],audio_feat_length[1]+1): + left_idx = int((vid_idx+dt)*50/fps) + if left_idx<1 or left_idx>length-1: + left_idx = max(0, left_idx) + left_idx = min(length-1, left_idx) + + x = feature_array[left_idx] + x = x[np.newaxis,:,:] + x = np.repeat(x, 2, axis=0) + selected_feature.append(x) + selected_idx.append(left_idx) + selected_idx.append(left_idx) + else: + x = feature_array[left_idx-1:left_idx+1] + selected_feature.append(x) + selected_idx.append(left_idx-1) + selected_idx.append(left_idx) + selected_feature = np.concatenate(selected_feature, axis=0) + selected_feature = selected_feature.reshape(-1, 384)# 50*384 + return selected_feature,selected_idx + + + def feature2chunks(self,feature_array,fps,audio_feat_length = [2,2]): + whisper_chunks = [] + whisper_idx_multiplier = 50./fps + i = 0 + print(f"video in {fps} FPS, audio idx in 50FPS") + while 1: + start_idx = int(i * whisper_idx_multiplier) + selected_feature,selected_idx = self.get_sliced_feature(feature_array= feature_array,vid_idx = i,audio_feat_length=audio_feat_length,fps=fps) + #print(f"i:{i},selected_idx {selected_idx}") + whisper_chunks.append(selected_feature) + i += 1 + if start_idx>len(feature_array): + break + + return whisper_chunks + + def audio2feat(self,audio_path): + # get the sample rate of the audio + result = self.model.transcribe(audio_path) + embed_list = [] + for emb in result['segments']: + encoder_embeddings = emb['encoder_embeddings'] + encoder_embeddings = encoder_embeddings.transpose(0,2,1,3) + encoder_embeddings = encoder_embeddings.squeeze(0) + start_idx = int(emb['start']) + end_idx = int(emb['end']) + emb_end_idx = int((end_idx - start_idx)/2) + embed_list.append(encoder_embeddings[:emb_end_idx]) + concatenated_array = np.concatenate(embed_list, axis=0) + return concatenated_array + +if __name__ == "__main__": + audio_processor = Audio2Feature(model_path="../../models/whisper/whisper_tiny.pt") + audio_path = "./test.mp3" + array = audio_processor.audio2feat(audio_path) + print(array.shape) + fps = 25 + whisper_idx_multiplier = 50./fps + + i = 0 + print(f"video in {fps} FPS, audio idx in 50FPS") + while 1: + start_idx = int(i * whisper_idx_multiplier) + selected_feature,selected_idx = audio_processor.get_sliced_feature(feature_array= array,vid_idx = i,audio_feat_length=[2,2],fps=fps) + print(f"video idx {i},\t audio idx {selected_idx},\t shape {selected_feature.shape}") + i += 1 + if start_idx>len(array): + break diff --git a/Musetalk/musetalk/whisper/whisper/__init__.py b/Musetalk/musetalk/whisper/whisper/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..b9255534ceae3014481780ab0571b4edb6523212 --- /dev/null +++ b/Musetalk/musetalk/whisper/whisper/__init__.py @@ -0,0 +1,116 @@ +import hashlib +import io +import os +import urllib +import warnings +from typing import List, Optional, Union + +import torch +from tqdm import tqdm + +from .audio import load_audio, log_mel_spectrogram, pad_or_trim +from .decoding import DecodingOptions, DecodingResult, decode, detect_language +from .model import Whisper, ModelDimensions +from .transcribe import transcribe + + +_MODELS = { + "tiny.en": "https://openaipublic.azureedge.net/main/whisper/models/d3dd57d32accea0b295c96e26691aa14d8822fac7d9d27d5dc00b4ca2826dd03/tiny.en.pt", + "tiny": "https://openaipublic.azureedge.net/main/whisper/models/65147644a518d12f04e32d6f3b26facc3f8dd46e5390956a9424a650c0ce22b9/tiny.pt", + "base.en": "https://openaipublic.azureedge.net/main/whisper/models/25a8566e1d0c1e2231d1c762132cd20e0f96a85d16145c3a00adf5d1ac670ead/base.en.pt", + "base": "https://openaipublic.azureedge.net/main/whisper/models/ed3a0b6b1c0edf879ad9b11b1af5a0e6ab5db9205f891f668f8b0e6c6326e34e/base.pt", + "small.en": "https://openaipublic.azureedge.net/main/whisper/models/f953ad0fd29cacd07d5a9eda5624af0f6bcf2258be67c92b79389873d91e0872/small.en.pt", + "small": "https://openaipublic.azureedge.net/main/whisper/models/9ecf779972d90ba49c06d968637d720dd632c55bbf19d441fb42bf17a411e794/small.pt", + "medium.en": "https://openaipublic.azureedge.net/main/whisper/models/d7440d1dc186f76616474e0ff0b3b6b879abc9d1a4926b7adfa41db2d497ab4f/medium.en.pt", + "medium": "https://openaipublic.azureedge.net/main/whisper/models/345ae4da62f9b3d59415adc60127b97c714f32e89e936602e85993674d08dcb1/medium.pt", + "large": "https://openaipublic.azureedge.net/main/whisper/models/e4b87e7e0bf463eb8e6956e646f1e277e901512310def2c24bf0e11bd3c28e9a/large.pt", + "large-v1": "https://openaipublic.azureedge.net/main/whisper/models/e4b87e7e0bf463eb8e6956e646f1e277e901512310def2c24bf0e11bd3c28e9a/large-v1.pt", + "large-v2": "https://openaipublic.azureedge.net/main/whisper/models/81f7c96c852ee8fc832187b0132e569d6c3065a3252ed18e56effd0b6a73e524/large-v2.pt", + "large-v3": "https://openaipublic.azureedge.net/main/whisper/models/e5b1a55b89c1367dacf97e3e19bfd829a01529dbfdeefa8caeb59b3f1b81dadb/large-v3.pt", +} + + +def _download(url: str, root: str, in_memory: bool) -> Union[bytes, str]: + os.makedirs(root, exist_ok=True) + + expected_sha256 = url.split("/")[-2] + download_target = os.path.join(root, os.path.basename(url)) + + if os.path.exists(download_target) and not os.path.isfile(download_target): + raise RuntimeError(f"{download_target} exists and is not a regular file") + + if os.path.isfile(download_target): + model_bytes = open(download_target, "rb").read() + if hashlib.sha256(model_bytes).hexdigest() == expected_sha256: + return model_bytes if in_memory else download_target + else: + warnings.warn(f"{download_target} exists, but the SHA256 checksum does not match; re-downloading the file") + + with urllib.request.urlopen(url) as source, open(download_target, "wb") as output: + with tqdm(total=int(source.info().get("Content-Length")), ncols=80, unit='iB', unit_scale=True, unit_divisor=1024) as loop: + while True: + buffer = source.read(8192) + if not buffer: + break + + output.write(buffer) + loop.update(len(buffer)) + + model_bytes = open(download_target, "rb").read() + if hashlib.sha256(model_bytes).hexdigest() != expected_sha256: + raise RuntimeError("Model has been downloaded but the SHA256 checksum does not not match. Please retry loading the model.") + + return model_bytes if in_memory else download_target + + +def available_models() -> List[str]: + """Returns the names of available models""" + return list(_MODELS.keys()) + + +def load_model(name: str, device: Optional[Union[str, torch.device]] = None, download_root: str = None, in_memory: bool = False) -> Whisper: + """ + Load a Whisper ASR model + + Parameters + ---------- + name : str + one of the official model names listed by `whisper.available_models()`, or + path to a model checkpoint containing the model dimensions and the model state_dict. + device : Union[str, torch.device] + the PyTorch device to put the model into + download_root: str + path to download the model files; by default, it uses "~/.cache/whisper" + in_memory: bool + whether to preload the model weights into host memory + + Returns + ------- + model : Whisper + The Whisper ASR model instance + """ + + if device is None: + device = "cuda" if torch.cuda.is_available() else "cpu" + if download_root is None: + download_root = os.getenv( + "XDG_CACHE_HOME", + os.path.join(os.path.expanduser("~"), ".cache", "whisper") + ) + + if name in _MODELS: + checkpoint_file = _download(_MODELS[name], download_root, in_memory) + elif os.path.isfile(name): + checkpoint_file = open(name, "rb").read() if in_memory else name + else: + raise RuntimeError(f"Model {name} not found; available models = {available_models()}") + + with (io.BytesIO(checkpoint_file) if in_memory else open(checkpoint_file, "rb")) as fp: + checkpoint = torch.load(fp, map_location=device) + del checkpoint_file + + dims = ModelDimensions(**checkpoint["dims"]) + model = Whisper(dims) + model.load_state_dict(checkpoint["model_state_dict"]) + + return model.to(device) diff --git a/Musetalk/musetalk/whisper/whisper/__main__.py b/Musetalk/musetalk/whisper/whisper/__main__.py new file mode 100644 index 0000000000000000000000000000000000000000..bc9b04a39283f71082f46ec8bb11fe15f8cf75b2 --- /dev/null +++ b/Musetalk/musetalk/whisper/whisper/__main__.py @@ -0,0 +1,4 @@ +from .transcribe import cli + + +cli() diff --git a/Musetalk/musetalk/whisper/whisper/assets/gpt2/merges.txt b/Musetalk/musetalk/whisper/whisper/assets/gpt2/merges.txt new file mode 100644 index 0000000000000000000000000000000000000000..6636bda4a1fd7a63653dffb22683b8162c8de956 --- /dev/null +++ b/Musetalk/musetalk/whisper/whisper/assets/gpt2/merges.txt @@ -0,0 +1,50001 @@ +#version: 0.2 - Trained by `huggingface/tokenizers` +Ġ t +Ġ a +h e +i n +r e +o n +Ġt he +e r +Ġ s +a t +Ġ w +Ġ o +e n +Ġ c +i t +i s +a n +o r +e s +Ġ b +e d +Ġ f +in g +Ġ p +o u +Ġa n +a l +a r +Ġt o +Ġ m +Ġo f +Ġ in +Ġ d +Ġ h +Ġan d +i c +a s +l e +Ġt h +i on +o m +l l +en t +Ġ n +Ġ l +s t +Ġ re +v e +Ġ e +r o +l y +Ġb e +Ġ g +Ġ T +c t +Ġ S +i d +o t +Ġ I +u t +e t +Ġ A +Ġ is +Ġ on +i m +a m +o w +a y +a d +s e +Ġth at +Ġ C +i g +Ġf or +a c +Ġ y +v er +u r +Ġ u +l d +Ġs t +Ġ M +' s +Ġ he +Ġ it +at ion +it h +i r +c e +Ġy ou +i l +Ġ B +Ġw h +o l +Ġ P +Ġw ith +Ġ 1 +t er +c h +Ġa s +Ġw e +Ġ ( +n d +i ll +Ġ D +i f +Ġ 2 +a g +er s +k e +Ġ " +Ġ H +e m +Ġc on +Ġ W +Ġ R +he r +Ġw as +Ġ r +o d +Ġ F +u l +at e +Ġa t +r i +p p +o re +ĠT he +Ġs e +u s +Ġp ro +Ġh a +u m +Ġa re +Ġd e +a in +an d +Ġo r +ig h +es t +is t +a b +r om +Ġ N +t h +Ġc om +Ġ G +u n +o p +0 0 +Ġ L +Ġn ot +es s +Ġe x +Ġ v +re s +Ġ E +e w +it y +an t +Ġb y +e l +o s +or t +o c +q u +Ġf rom +Ġha ve +Ġs u +i ve +ou ld +Ġs h +Ġth is +n t +r a +p e +igh t +ar t +m ent +Ġa l +u st +en d +- - +al l +Ġ O +ac k +Ġc h +Ġ le +i es +re d +ar d +â Ģ +ou t +Ġ J +Ġa b +e ar +i v +al ly +ou r +o st +g h +p t +Ġp l +as t +Ġc an +a k +om e +u d +T he +Ġh is +Ġd o +Ġg o +Ġh as +g e +' t +Ġ U +r ou +Ġs a +Ġ j +Ġb ut +Ġw or +Ġa ll +e ct +Ġ k +am e +Ġw ill +o k +Ġw he +Ġthe y +id e +0 1 +f f +ic h +p l +t her +Ġt r +. . +Ġin t +i e +u re +ag e +Ġn e +i al +a p +in e +ic e +Ġm e +Ġo ut +an s +on e +on g +ion s +Ġwh o +Ġ K +Ġu p +Ġthe ir +Ġa d +Ġ 3 +Ġu s +at ed +ou s +Ġm ore +u e +o g +ĠS t +in d +i ke +Ġs o +im e +p er +. 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17295, "ĠRadio": 17296, "à¸ŀ": 17297, "Dav": 17298, "Ġembarrassing": 17299, "ĠìŀĪìĸ´": 17300, "Ġcasting": 17301, "Ġcage": 17302, "ĠPsych": 17303, "ĠìĿ¼ëĭ¨": 17304, "Ġž": 17305, "imb": 17306, "Ġdirectors": 17307, "SH": 17308, "ĠÏĦην": 17309, "á»ģu": 17310, "ĠkonuÅŁ": 17311, "Ġoptional": 17312, "quarters": 17313, "iker": 17314, "ĠSant": 17315, "Ġverses": 17316, "ë¶Ģ": 17317, "Ġolar": 17318, "ĠÏĩ": 17319, "ãĥķ": 17320, "Ġγια": 17321, "ĠImm": 17322, "Ġcontroversial": 17323, "Ġersten": 17324, "Ġrecip": 17325, "ĠChristianity": 17326, "Ġê´ľ": 17327, "ordon": 17328, "×ķש": 17329, "Ġslash": 17330, "ĠPf": 17331, "ÑĥдÑĮ": 17332, "×ķ×Ŀ": 17333, "ĠPerry": 17334, "Ġmamy": 17335, "Ġbackgrounds": 17336, "Ġà®İன": 17337, "Ġpendant": 17338, "ĠColumbia": 17339, "Ġinverse": 17340, "ĠÑĩеÑĢез": 17341, "Ġsv": 17342, "Ġdigging": 17343, "41": 17344, "chem": 17345, "Ġnavigation": 17346, "ĠShin": 17347, "ĠFront": 17348, "PD": 17349, "Ġbearing": 17350, "ĠWasser": 17351, "Ġwax": 17352, "ĠCHRIS": 17353, "ching": 17354, "Ġpressed": 17355, "El": 17356, "ĠDal": 17357, "onsin": 17358, "Ġbinding": 17359, "Ñģкой": 17360, "poons": 17361, "Ġmock": 17362, "arest": 17363, "кÑĢа": 17364, "MM": 17365, "Ġcorrupt": 17366, "storm": 17367, "Ġrefres": 17368, "ĠCoach": 17369, "llä": 17370, "ĠTHIS": 17371, "Ġparag": 17372, "Ġìĵ°": 17373, "pool": 17374, "Ġbillions": 17375, "Ġê¹Ģ": 17376, "group": 17377, "Ġwelcoming": 17378, "cellence": 17379, "ĠDuke": 17380, "긴": 17381, "Ġprimera": 17382, "ìł¸": 17383, "Ġpond": 17384, "Ġstatue": 17385, "Ġ구ë": 17386, "Ġhatch": 17387, "Ġinstrumental": 17388, "Ġresidential": 17389, "커": 17390, "Ġaccepting": 17391, "oshi": 17392, "date": 17393, "ĠìĶ¨": 17394, "Ġplanted": 17395, "Ġjoking": 17396, "ĠìĦľ": 17397, "Ġhated": 17398, "ĠÑĢаÑģÑģк": 17399, "Ġslept": 17400, "Ġpackages": 17401, "Ġislands": 17402, "esen": 17403, "ģı": 17404, "Ġdiagon": 17405, "ĠOsc": 17406, "Ġmesh": 17407, "Ġscales": 17408, "arity": 17409, "ĠDefense": 17410, "ãģ¡ãĤĩ": 17411, "ĠLewis": 17412, "ĠÑģегоднÑı": 17413, "Ġflies": 17414, "uinely": 17415, "ĠConsider": 17416, "Ġstark": 17417, "hew": 17418, "ĠAsÃŃ": 17419, "³´ë": 17420, "Ġpropose": 17421, "Ġíķĺë©´": 17422, "odo": 17423, "ĠNormally": 17424, "Ġheeft": 17425, "ĠHarris": 17426, "gro": 17427, "ĠBlood": 17428, "base": 17429, "ĠiOS": 17430, "Ġtouches": 17431, "Ġinspir": 17432, "Ġ×ĵ": 17433, "Ġbinary": 17434, "Ġì¶Ķ": 17435, "Ġserial": 17436, "Ġion": 17437, "Ġunemployment": 17438, "Ġodds": 17439, "ĠFab": 17440, "ĠFBI": 17441, "BRUN": 17442, "Ġweights": 17443, "νο": 17444, "atile": 17445, "Ġnurses": 17446, "Ġinvolvement": 17447, "ĠíĶ¼": 17448, "Ġgovernance": 17449, "ĠâĤ¬": 17450, "ÑĢÑĥп": 17451, "ierra": 17452, "íĺķ": 17453, "ĠJerry": 17454, "Ġbeard": 17455, "Ġsalvation": 17456, "ĠAlong": 17457, "gentle": 17458, "ĠKi": 17459, "bol": 17460, "ĠPlat": 17461, "Ġhasht": 17462, "è¿ij": 17463, "Ġware": 17464, "Ġpartie": 17465, "ycz": 17466, "Ġintr": 17467, "Fih": 17468, "nent": 17469, "Ġcheat": 17470, "ilen": 17471, "Ġë¯": 17472, "orie": 17473, "Ġfácil": 17474, "etric": 17475, "Ġaffecting": 17476, "unciation": 17477, "Ġaffairs": 17478, "Ġbee": 17479, "Ġviewing": 17480, "Ġorang": 17481, "ĠLan": 17482, "ĠСÑĤ": 17483, "ä¸ĸ": 17484, "ĠMes": 17485, "ĥģ": 17486, "erie": 17487, "Ġespa": 17488, "Ġinterpre": 17489, "Ġpossess": 17490, "Ġpurely": 17491, "rito": 17492, "found": 17493, "asma": 17494, "ìłģìĿ¸": 17495, "Ġexamine": 17496, "ĠÑĥм": 17497, "Ġbesch": 17498, "ĠTomorrow": 17499, "ĠBlock": 17500, "Ġvariant": 17501, "Ġpreference": 17502, "Ġcoaches": 17503, "Ġmedications": 17504, "ĠíĺĦ": 17505, "Ġempire": 17506, "ëĦ¤": 17507, "ĠIllinois": 17508, "Ġcrispy": 17509, "Ġthì": 17510, "Ġbees": 17511, "77": 17512, "Ġglow": 17513, "èº": 17514, "ĠStudies": 17515, "åIJĦ": 17516, "ĠChallenge": 17517, "Ġunlikely": 17518, "Ч": 17519, "ıyorsun": 17520, "DIE": 17521, "Ġminimize": 17522, "izard": 17523, "Ġún": 17524, "Ġencontrar": 17525, "ĠKill": 17526, "å»": 17527, "Ġvanilla": 17528, "ĠGrant": 17529, "ĠGT": 17530, "sea": 17531, "Ġsought": 17532, "вод": 17533, "Ġnäm": 17534, "ĠAunt": 17535, "OWN": 17536, "Ġpumpkin": 17537, "stellen": 17538, "Ġrag": 17539, "егда": 17540, "Ġstoryt": 17541, "Ġforum": 17542, "æ©Ł": 17543, "Ġestaba": 17544, "uche": 17545, "Ġcongress": 17546, "ĠRey": 17547, "Ġdramatically": 17548, "ĠSport": 17549, "ĠYellow": 17550, "Ġê³ĦìĨį": 17551, "Ġdisgusting": 17552, "ĠRecent": 17553, "Ġacquired": 17554, "Ġcables": 17555, "çĶļ": 17556, "din": 17557, "Ġvisto": 17558, "Ġcommunicating": 17559, "ÑģÑĤавлÑı": 17560, "еÑģÑĤо": 17561, "ãĥ»ãĥ»ãĥ»": 17562, "Ġrég": 17563, "Ġsocks": 17564, "Ġproces": 17565, "because": 17566, "Ġutter": 17567, "Ġcolocar": 17568, "Ġnewest": 17569, "Ġgramm": 17570, "表": 17571, "ä¸įçŁ¥éģĵ": 17572, "Ġshifting": 17573, "Ġcarrier": 17574, "ĠÑģкоÑĢ": 17575, "ĠSchw": 17576, "Ġexecuted": 17577, "Ġmaintained": 17578, "ĠÏĨ": 17579, "ĠMoses": 17580, "Ġdisse": 17581, "Ġhorr": 17582, "ãĢľ": 17583, "Ġrally": 17584, "Ġallem": 17585, "ĠEventually": 17586, "Ġdiyor": 17587, "lvania": 17588, "Ġschnell": 17589, "Ġê³¼": 17590, "Ġ매": 17591, "Ġstruggles": 17592, "late": 17593, "Ġclarify": 17594, "ément": 17595, "Ġmultiplic": 17596, "ибо": 17597, "Ġjourn": 17598, "Ġfragr": 17599, "Ġsurprisingly": 17600, "Ġdesperate": 17601, "52": 17602, "Ġsul": 17603, "ĠRead": 17604, "ĠFried": 17605, "Ġmond": 17606, "woo": 17607, "Ġorganizing": 17608, "ãģĹãĤĩãģĨ": 17609, "ĠSoon": 17610, "ĠвопÑĢоÑģ": 17611, "ĠNur": 17612, "ĠÐĹд": 17613, "Ġspider": 17614, "еÑģÑı": 17615, "Ġtutorials": 17616, "Ġnutrients": 17617, "orer": 17618, "Ġcoefficient": 17619, "Ġarrangement": 17620, "Ġpricing": 17621, "nan": 17622, "yu": 17623, "BL": 17624, "Ġtribe": 17625, "ĠHoward": 17626, "unks": 17627, "Ġnewer": 17628, "Ġprovin": 17629, "Ġprediction": 17630, "hos": 17631, "Ġolsun": 17632, "ĠAround": 17633, "Ġvier": 17634, "ĠÑģÑĤоÑĢон": 17635, "Ġvalley": 17636, "ĠEla": 17637, "ifi": 17638, "Ġgalaxy": 17639, "Ġtranqu": 17640, "Ġadvers": 17641, "ĠTemple": 17642, "iffs": 17643, "igence": 17644, "èĩªå·±": 17645, "Ġkönnte": 17646, "ĠÄijó": 17647, "Did": 17648, "Ġphotographs": 17649, "ĠAWS": 17650, "ÑĨиÑı": 17651, "Ġguards": 17652, "Ġappointed": 17653, "ĠGil": 17654, "Ġмом": 17655, "Ġcod": 17656, "ĠUnlike": 17657, "Ġevenly": 17658, "isconsin": 17659, "Ġestou": 17660, "Ġmnie": 17661, "ĠExec": 17662, "ĠMV": 17663, "ĠEine": 17664, "ä¿¡": 17665, "ĠRoger": 17666, "ĠFac": 17667, "ĠList": 17668, "Ġfuer": 17669, "аеÑĤе": 17670, "omed": 17671, "Ġattraction": 17672, "èī²": 17673, "Ġterrain": 17674, "ĠDrop": 17675, "Ġcorporations": 17676, "Ġsciences": 17677, "Ġthrone": 17678, "ãģĦãģŁ": 17679, "Ġaj": 17680, "ĠRot": 17681, "çī¹": 17682, "Ġsupporters": 17683, "ĠBere": 17684, "Here": 17685, "Ġdiferentes": 17686, "Ġsignificance": 17687, "Ïĥη": 17688, "æĪij覺å¾Ĺ": 17689, "Ġclamp": 17690, "ĠëĮĢë": 17691, "Ġfabulous": 17692, "rez": 17693, "æĮģ": 17694, "Ġassumptions": 17695, "uther": 17696, "wid": 17697, "pot": 17698, "è¿İ": 17699, "Ġyan": 17700, "ulin": 17701, "ÑĢÑĭв": 17702, "ĠSlow": 17703, "ĠPennsy": 17704, "Ġíķ´ìĦľ": 17705, "Ġmeio": 17706, "Ġwealthy": 17707, "ĠEight": 17708, "Ġpulse": 17709, "Ġfriction": 17710, "idity": 17711, "ĠHoll": 17712, "iyorum": 17713, "Ġsounded": 17714, "ĠCarr": 17715, "Ġfork": 17716, "âĺ": 17717, "ĠPA": 17718, "Ġconspir": 17719, "Ġcoding": 17720, "rt": 17721, "ĠTyp": 17722, "Ġìĸij": 17723, "Ġпог": 17724, "Ġmiser": 17725, "ĠÑģмоÑĤÑĢ": 17726, "ĠSweden": 17727, "Ġolarak": 17728, "ĠZhang": 17729, "ĠChi": 17730, "ĠTitan": 17731, "Ġscreening": 17732, "ĠSpider": 17733, "ĠÅŀimdi": 17734, "Ġobstacles": 17735, "lara": 17736, "Ġchallenged": 17737, "pse": 17738, "TON": 17739, "ụ": 17740, "ĠPi": 17741, "Ġlagi": 17742, "ieurs": 17743, "Ġhurting": 17744, "Ġneglect": 17745, "Ġgenerating": 17746, "Ġyoungest": 17747, "Ġaudit": 17748, "ĠÑĢез": 17749, "Ïģά": 17750, "Ġdonate": 17751, "ĠPDF": 17752, "Ġvisits": 17753, "Ġcruise": 17754, "PP": 17755, "aser": 17756, "Ġwsp": 17757, "backs": 17758, "ivals": 17759, "ãģĨãĤĵ": 17760, "Ġdeve": 17761, "Ġproport": 17762, "Ġcath": 17763, "ĠEffect": 17764, "Ġwinds": 17765, "ĠìĻĶ": 17766, "Ġcharts": 17767, "Ġsama": 17768, "Ġautomation": 17769, "Ġпока": 17770, "Ġolan": 17771, "Ġboats": 17772, "Ġcafe": 17773, "Ġdenied": 17774, "ĠMama": 17775, "Ġblocking": 17776, "ĠThor": 17777, "Ġphenomenal": 17778, "Ġstakeholders": 17779, "Ġunos": 17780, "ÑĥеÑĤ": 17781, "ĠAbraham": 17782, "ãģ§ãĤĤ": 17783, "Ġdetection": 17784, "Ġjuris": 17785, "Ġpowered": 17786, "zial": 17787, "Ġwelfare": 17788, "Ġupgrad": 17789, "Ġmożna": 17790, "ĠCase": 17791, "cular": 17792, "ĶìĿ´": 17793, "ãĥģ": 17794, "ĠGuess": 17795, "Ġcycles": 17796, "ä¾ĭ": 17797, "給": 17798, "rock": 17799, "umi": 17800, "Ġelite": 17801, "Ġquè": 17802, "åł±": 17803, "ÑĤом": 17804, "Ġshore": 17805, "gunta": 17806, "Ġku": 17807, "Ġfaithful": 17808, "ĠJeremy": 17809, "aid": 17810, "à·": 17811, "ugal": 17812, "å°įåķĬ": 17813, "ĠVel": 17814, "Ġvrai": 17815, "stell": 17816, "¨¸": 17817, "Ġkol": 17818, "è½": 17819, "Ġquanto": 17820, "ĠзаÑĢ": 17821, "Ġ2002": 17822, "esy": 17823, "Ġreserve": 17824, "ĠмоменÑĤ": 17825, "Ġdeployed": 17826, "Ġdefining": 17827, "Ġsau": 17828, "Ġgaat": 17829, "\")": 17830, "Ġtransmit": 17831, "Ġpublishing": 17832, "Ġranking": 17833, "Ġoffense": 17834, "Ġ46": 17835, "pin": 17836, "ĠTaking": 17837, "Ġentitled": 17838, "Ġgenuinely": 17839, "Ġvariations": 17840, "Ġfinde": 17841, "Ġtau": 17842, "Ġunfortunate": 17843, "ĠRah": 17844, "ports": 17845, "ĠcÅ": 17846, "Ġmonkey": 17847, "Ġbrac": 17848, "wei": 17849, "lung": 17850, "Ġartif": 17851, "Ġsyrup": 17852, "ĠÐĶав": 17853, "Ġlifted": 17854, "Ġchez": 17855, "ĠAdvent": 17856, "ĠStock": 17857, "Ġdol": 17858, "мен": 17859, "иÑĪÑĮ": 17860, "Ġyn": 17861, "gio": 17862, "det": 17863, "Ġdesse": 17864, "Ġgri": 17865, "ĠChairman": 17866, "çħ": 17867, "Ġcuenta": 17868, "anim": 17869, "Ġcrab": 17870, "Ġescal": 17871, "Ġpremière": 17872, "ĠGef": 17873, "Ġdining": 17874, "Ġseventh": 17875, "Ġchasing": 17876, "ĠTower": 17877, "Ġbrutal": 17878, "Ġfundamentally": 17879, "ãģ¨ãģĨ": 17880, "лениÑı": 17881, "stage": 17882, "Ġacquis": 17883, "Ġcylinder": 17884, "Ġcommander": 17885, "mem": 17886, "ĠUV": 17887, "happy": 17888, "Ġepsilon": 17889, "Ġinvitation": 17890, "Ġfarmer": 17891, "chair": 17892, "Ġdestiny": 17893, "Ġsovere": 17894, "ĠHebrew": 17895, "Ġservant": 17896, "Ġbew": 17897, "Ġgast": 17898, "uties": 17899, "Ġadministrative": 17900, "ĠCommand": 17901, "éta": 17902, "Ġnitrogen": 17903, "ê·¼": 17904, "Ġabi": 17905, "Ġvillain": 17906, "Ġblanket": 17907, "ĠSend": 17908, "Ġbeaten": 17909, "²Ħ": 17910, "Ġvolunt": 17911, "Ġscholar": 17912, "ĠEmperor": 17913, "Ġ43": 17914, "vable": 17915, "ĠDus": 17916, "ĠGU": 17917, "Ġtargeting": 17918, "www": 17919, "Ġamendment": 17920, "ìĨĮë": 17921, "Ġting": 17922, "Ġnasty": 17923, "Ġgauge": 17924, "ĠÑĢод": 17925, "ĠHans": 17926, "Your": 17927, "αν": 17928, "Ġprojet": 17929, "ĠHawaii": 17930, "Ġsuspicious": 17931, "Ġschw": 17932, "Ġremoval": 17933, "Ġintrig": 17934, "ĠMU": 17935, "Ġponto": 17936, "ा": 17937, "ĠобÑĢаз": 17938, "Ġguessing": 17939, "pace": 17940, "Ġmothers": 17941, "Ġmillimeter": 17942, "ление": 17943, "没æľī": 17944, "Ġavailability": 17945, "icz": 17946, "æѤ": 17947, "Ġfract": 17948, "Ġbases": 17949, "km": 17950, "ĠBTS": 17951, "ĠField": 17952, "Ġdzie": 17953, "Ġsegundo": 17954, "ĠëĤĺëĬĶ": 17955, "Ġlegitimate": 17956, "imas": 17957, "Ġвн": 17958, "Ġcorruption": 17959, "Ġsmash": 17960, "ĠValent": 17961, "Ġaligned": 17962, "ĠPennsylvania": 17963, "Ġgab": 17964, "ĠEun": 17965, "enth": 17966, "ĠMorning": 17967, "Ġcandle": 17968, "Ġbackpack": 17969, "ĠIslamic": 17970, "ações": 17971, "Ġencry": 17972, "Ġmushrooms": 17973, "íĮĮ": 17974, "dit": 17975, "Ġtransit": 17976, "ĠWisconsin": 17977, "Ġparticipated": 17978, "ĠIls": 17979, "Ġunfold": 17980, "¶Ģë": 17981, "Ġprofits": 17982, "Ġwarming": 17983, "ĠGang": 17984, "Ġnetworking": 17985, "Ġmega": 17986, "Ġthoroughly": 17987, "lements": 17988, "ĠHm": 17989, "Ġdeciding": 17990, "Ġemotionally": 17991, "Ġexhausted": 17992, "ĠÐŁÐ¾ÑĤ": 17993, "cido": 17994, "ĠHTML": 17995, "Ġcopyright": 17996, "Ġmelody": 17997, "yim": 17998, "Ġanders": 17999, "oshop": 18000, "Ġë³¼": 18001, "Ġathlete": 18002, "ĠGE": 18003, "Ġfrequent": 18004, "Ġdesires": 18005, "Ġneeding": 18006, "ĠYun": 18007, "Ġrifle": 18008, "Ġlover": 18009, "'T": 18010, "Ġdense": 18011, "Ġtão": 18012, "Ġnotified": 18013, "Ġidi": 18014, "ìĹŃ": 18015, "íĨ": 18016, "Ġinteracting": 18017, "Ġrapport": 18018, "еÑĢи": 18019, "ski": 18020, "Ġbesser": 18021, "Ġmanufacturer": 18022, "ĠKyle": 18023, "Ġaccountable": 18024, "ĠSak": 18025, "ĠPil": 18026, "ĠDomin": 18027, "Ġpresum": 18028, "ĠÐĴÑģе": 18029, "Ġvinegar": 18030, "Ġguaranteed": 18031, "çľĭåĪ°": 18032, "Ġhandled": 18033, "éŁ³": 18034, "cat": 18035, "Ġcivilization": 18036, "Ġaccomp": 18037, "ĠVM": 18038, "émon": 18039, "Ġdeze": 18040, "Ġgrades": 18041, "Ġsollte": 18042, "Ġstaring": 18043, "×IJת": 18044, "arnt": 18045, "Ġhorizon": 18046, "Ġtravail": 18047, "hour": 18048, "第ä¸Ģ": 18049, "ĠED": 18050, "ĠDak": 18051, "Ġny": 18052, "Ġconve": 18053, "ĠCham": 18054, "Ġfirms": 18055, "ĠLiu": 18056, "ĠÑģÑĤÑĢан": 18057, "Ġlibert": 18058, "Ġlenses": 18059, "Ġintake": 18060, "ĠвÑĭб": 18061, "Ġmensen": 18062, "hel": 18063, "Ġpractition": 18064, "Ġ350": 18065, "ãĤ³": 18066, "FO": 18067, "Ġbeds": 18068, "Ġancestors": 18069, "ĠìĹĦì²Ń": 18070, "Ġdisturb": 18071, "ĠLastly": 18072, "ĠSupport": 18073, "ีà¹ī": 18074, "ĠCorona": 18075, "Ġenthusi": 18076, "Ġвозм": 18077, "ĠìĤ¬ëŀĮë": 18078, "Ġ52": 18079, "bird": 18080, "Ġreduces": 18081, "ĠìŀĪìĿĦ": 18082, "ĠGene": 18083, "êµIJ": 18084, "ÄĻp": 18085, "ĠÃľber": 18086, "Ġconcerning": 18087, "user": 18088, "Ġconcentrate": 18089, "ĠWHAT": 18090, "ishop": 18091, "onymous": 18092, "nold": 18093, "Ġsuggesting": 18094, "©°": 18095, "ĠFish": 18096, "........": 18097, "Ġvessel": 18098, "Ġtrabajo": 18099, "ãģµ": 18100, "ĠOcean": 18101, "å§IJ": 18102, "yg": 18103, "Ġtowns": 18104, "del": 18105, "Ġterrifying": 18106, "ĠçalÄ±ÅŁ": 18107, "Ġsino": 18108, "Ġeats": 18109, "Ġgez": 18110, "Ġgeme": 18111, "ĠìĻĦ": 18112, "Ġcompart": 18113, "Ġimplementing": 18114, "ĠPotter": 18115, 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18296, "Ġvois": 18297, "ĠMoscow": 18298, "Ġchairs": 18299, "his": 18300, "Ġrefugees": 18301, "kg": 18302, "Ġkole": 18303, "į¨": 18304, "аÑģибо": 18305, "¦½": 18306, "ĠUniverse": 18307, "ĠDirect": 18308, "Ġcheating": 18309, "ĠCin": 18310, "Ġpatri": 18311, "Ġadvise": 18312, "ĠNether": 18313, "Ġprimeiro": 18314, "Ġmentioning": 18315, "nut": 18316, "56": 18317, "arı": 18318, "Ġpetite": 18319, "bled": 18320, "Ġpensar": 18321, "icio": 18322, "IND": 18323, "Ġveteran": 18324, "Ġladder": 18325, "Ġconsequence": 18326, "ожал": 18327, "ĠBurn": 18328, "Ġrug": 18329, "ĠMade": 18330, "Ġgit": 18331, "\"...": 18332, "Ġcompetitors": 18333, "Ġprzed": 18334, "Ġapparent": 18335, "ĠArgentina": 18336, "ĠWorking": 18337, "Ġcollaborate": 18338, "woman": 18339, "Ġretain": 18340, "Ġleurs": 18341, "Ġdashboard": 18342, "×Ļ×ĵ": 18343, "ĠEarly": 18344, "BM": 18345, "ĠеÑij": 18346, "олог": 18347, "Ġsatisfying": 18348, "Ġoftentimes": 18349, "Ġmapping": 18350, "ünkü": 18351, "arth": 18352, "fold": 18353, "Ġlaunching": 18354, "Ġaura": 18355, "Ġprecision": 18356, "works": 18357, "God": 18358, "Ġstrap": 18359, "ĠImper": 18360, "Ġrivers": 18361, "Ġ|": 18362, "Ġcuer": 18363, "regon": 18364, "Ġarrival": 18365, "каÑħ": 18366, "ĠMiami": 18367, "анÑĭ": 18368, "Ġsurvivors": 18369, "ĠSenior": 18370, "David": 18371, "Ġestado": 18372, "Ġsectors": 18373, "Ġpopping": 18374, "Ġchim": 18375, "ayı": 18376, "Ġkunnen": 18377, "Ġgallery": 18378, "Ġsunlight": 18379, "esehen": 18380, "Ġyelling": 18381, "ĠMein": 18382, "ĠPhoenix": 18383, "Ġmano": 18384, "Ġhistoria": 18385, "Ġoccurring": 18386, "欸": 18387, "ì¸": 18388, "ади": 18389, "å¾ħ": 18390, "Ġinstitutional": 18391, "ĠTut": 18392, "ç²": 18393, "Ġslaves": 18394, "ãģ©ãģĨ": 18395, "Ġforgiveness": 18396, "Ġtwin": 18397, "ĠHyun": 18398, "нÑĮ": 18399, "ĠKomm": 18400, "andra": 18401, "shot": 18402, "ssä": 18403, "ĠÑĨе": 18404, "atta": 18405, "Ġexpense": 18406, "ĠGPU": 18407, "ĠPast": 18408, "ribly": 18409, "ĠëŃIJìķ¼": 18410, "Ġгода": 18411, "Ġrespir": 18412, "æĿ±": 18413, "ĠQueens": 18414, "hops": 18415, "Ġsérie": 18416, "Ġpref": 18417, "Ġcomed": 18418, "Ġplut": 18419, "ĠOverall": 18420, "ĠãģĿ": 18421, "Ġcush": 18422, "Ġringing": 18423, "Ġincorrect": 18424, "ĠÑģÑĤÑĢ": 18425, "Ġgeometry": 18426, "Ġadvertis": 18427, "ĠШ": 18428, "Ġreviewed": 18429, "ãģĤãģĤ": 18430, "Ġdozens": 18431, "Ġdetermination": 18432, "ĠPhill": 18433, "Ġcontributed": 18434, "ĠCit": 18435, "Ġpassengers": 18436, "Ġcôté": 18437, "Ġrever": 18438, "Ġtechnological": 18439, "Ġallen": 18440, "Ġraining": 18441, "avi": 18442, "Ġsalty": 18443, "Ġtyping": 18444, "ĠÑĤе": 18445, "Ġtilt": 18446, "Ġì¹ĺ": 18447, "ĠоÑĢ": 18448, "ĠпÑĢÑıм": 18449, "Ġrou": 18450, "Ġarena": 18451, "arat": 18452, "åĪ«": 18453, "HHHH": 18454, "Ġmanufacturers": 18455, "ĠEdward": 18456, "Ġtuck": 18457, "Ġblows": 18458, "ingo": 18459, "ĠMarc": 18460, "ìķĦìĦľ": 18461, "Mich": 18462, "ĠClean": 18463, "è´": 18464, "esto": 18465, "ĠPack": 18466, "Ġshaft": 18467, "BRUNO": 18468, "Ġaven": 18469, "uur": 18470, "ÑģколÑĮко": 18471, 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"otz": 18530, ",": 21732, "Ġchords": 21733, "ĠSanders": 21734, "Ġë¶Ħë": 21735, "Ben": 21736, "Ġdarüber": 21737, "ilians": 21738, "Ġordering": 21739, "ĠManh": 21740, "Ġkilogram": 21741, "ĠkarÅŁ": 21742, "Ġgrasp": 21743, "Ġghosts": 21744, "alen": 21745, "ĠJedi": 21746, "Ġбли": 21747, "Ġdownloaded": 21748, "Ġconducting": 21749, "ĠHak": 21750, "Ġresearcher": 21751, "ilan": 21752, "good": 21753, "ĠHannah": 21754, "ĠdÃ¼ÅŁÃ¼n": 21755, "ĠMessiah": 21756, "uity": 21757, "iona": 21758, "Ġprobable": 21759, "ĠYE": 21760, "Ġindependently": 21761, "Ġbuffer": 21762, "burn": 21763, "ourd": 21764, "ĠMcK": 21765, "Ġlingu": 21766, "ujemy": 21767, "еÑĢÑĤ": 21768, "Ġintuitive": 21769, "Ġcracks": 21770, "appropri": 21771, "nty": 21772, "Ġgeen": 21773, "Ġlend": 21774, "Ġcertification": 21775, "IDS": 21776, "unter": 21777, "pees": 21778, "Ġtrump": 21779, "Ġbankrupt": 21780, "Ġfeas": 21781, "èĹ": 21782, "Ġduż": 21783, "æ¸ħ": 21784, "Ġviruses": 21785, "Ġ58": 21786, "god": 21787, "Ġжел": 21788, "Ġstalk": 21789, 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"Ġwounded": 21906, "ĠCuando": 21907, "Ġcushion": 21908, "Ġwhites": 21909, "Ġpreferences": 21910, "Ġì¤Ģë¹Ħ": 21911, "Ġkaż": 21912, "ĠGate": 21913, "ĠPath": 21914, "dles": 21915, "à¸Ħร": 21916, "imore": 21917, "Ġë³´ìŬ": 21918, "Ġdisciplines": 21919, "á»ı": 21920, "Ġmesma": 21921, "ĠìĥĪë": 21922, "Ġìĭ¬": 21923, "Ġging": 21924, "Ġumbrella": 21925, "IGHT": 21926, "Ġpension": 21927, "Ġcombining": 21928, "SS": 21929, "Ġrectangle": 21930, "á»ĩt": 21931, "Ġproxim": 21932, "ĠCow": 21933, "¸Į": 21934, "Ġintentional": 21935, "æķĻ": 21936, "Ġdecid": 21937, "ĠÑģкаж": 21938, "ĠUma": 21939, "iasm": 21940, "buz": 21941, "Ġdebris": 21942, "Ġcass": 21943, "ĠProp": 21944, "iska": 21945, "ëł¥": 21946, "esterol": 21947, "ussian": 21948, "ìĿ´ëŀij": 21949, "Ġunlimited": 21950, "Ġadmire": 21951, "Ġtightly": 21952, "Ġgenome": 21953, "ĠJunior": 21954, "venir": 21955, "gus": 21956, "ĠcÄĥ": 21957, "ĠVlad": 21958, "ĠíĤ": 21959, "Ġrelativ": 21960, "inci": 21961, "Ġaunque": 21962, "ĠBoys": 21963, "ÑĨион": 21964, 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"Ġvisions": 30746, "ĠíķŃìĥģ": 30747, "Ġshitty": 30748, "Ġhott": 30749, "ĠBritt": 30750, "utors": 30751, "ENTE": 30752, "æĽ²": 30753, "Ġphon": 30754, "ĠBing": 30755, "ĠподдеÑĢж": 30756, "spring": 30757, "æĸ¯": 30758, "etten": 30759, "Ġpilgr": 30760, "Ġediyor": 30761, "енÑĤÑĭ": 30762, "aggio": 30763, "Ġjul": 30764, "Ġcomprend": 30765, "teil": 30766, "Ġز": 30767, "Ġperformers": 30768, "Ġinfamous": 30769, "ĠMK": 30770, "çª": 30771, "æ³ģ": 30772, "otle": 30773, "eff": 30774, "ĠHash": 30775, "Ġcoward": 30776, "ĠBRA": 30777, "ĠDD": 30778, "Ġcomida": 30779, "Ġplata": 30780, "Ġflap": 30781, "ĠMehr": 30782, "ribution": 30783, "ĠYemen": 30784, "Ġmysteries": 30785, "ĠÄ°yi": 30786, "Ġstell": 30787, "Ġeyeliner": 30788, "Ġdeles": 30789, "Ġnailed": 30790, "Ġillnesses": 30791, "Ġstacks": 30792, "Ġtrabajar": 30793, "flower": 30794, "ciu": 30795, "Ġcrude": 30796, "Ġsubstantially": 30797, "Ġhomem": 30798, "Ġnephew": 30799, "Ġstamps": 30800, "Ġcarbs": 30801, "ÑĮÑĤе": 30802, "mooth": 30803, "Ġtunnels": 30804, "acie": 30805, "æ³¢": 30806, "ĠSeñ": 30807, "ĠHera": 30808, "ĠìķĦëĭĪìĹIJìļĶ": 30809, "ĠWyoming": 30810, "ĠHDMI": 30811, "ĠLis": 30812, "ución": 30813, "Ġsteer": 30814, "оÑİ": 30815, "иÑĤа": 30816, "NT": 30817, "Ġìĸ¼êµ´": 30818, "Ġpalms": 30819, "Ġneon": 30820, "ованиÑı": 30821, "Ġfiltering": 30822, "Ġjouer": 30823, "ĠHö": 30824, "ĠнеÑģ": 30825, "ê²łìĸ´ìļĶ": 30826, "Ġ81": 30827, "Ġstoryline": 30828, "Ġprzep": 30829, "Ġthanking": 30830, "ĠBoeing": 30831, "Ġsoftly": 30832, "jem": 30833, "алÑĮнÑĭÑħ": 30834, "Ġflashlight": 30835, "ĠпÑĥ": 30836, "ĠWOMAN": 30837, "ắc": 30838, "ÃŃch": 30839, "Ġluxurious": 30840, "Ġwün": 30841, "Ġimpactful": 30842, "Ġconson": 30843, "reu": 30844, "irring": 30845, "ifter": 30846, "Ġconstituents": 30847, "èIJ½": 30848, "Ġ94": 30849, "ĠTou": 30850, "gom": 30851, "ĠìĥĿê°ģìĿĦ": 30852, "Ġstereotypes": 30853, "Ġmożli": 30854, "åĪĨ享": 30855, "Ĥ¨": 30856, "Ġpencils": 30857, "ĠÑģлож": 30858, "Ġihrem": 30859, "ĠBesch": 30860, "ĠKoh": 30861, "ĠEntscheid": 30862, "Ġlek": 30863, "Ġförs": 30864, "Ġtotalmente": 30865, "Ġlively": 30866, "Ġentropy": 30867, "Ġdiscern": 30868, "ĠÐĹна": 30869, "Ġdov": 30870, "Ġmythology": 30871, "è¨ĺå¾Ĺ": 30872, "apanese": 30873, "Ġapproximate": 30874, "аÑĤив": 30875, "ifiable": 30876, "ĠSeo": 30877, "åĢĴ": 30878, "´ìĭ¬íŀĪ": 30879, "Ġìĺ·": 30880, "Ġtemporal": 30881, "ĠiT": 30882, "Ġestat": 30883, "ким": 30884, "Ġsprink": 30885, "Ġgrund": 30886, "Ġinfantry": 30887, "Ġschaffen": 30888, "ç´Ħ": 30889, "Ġank": 30890, "riages": 30891, "ĠYeon": 30892, "ĠMoroc": 30893, "Ġinvasive": 30894, "ģĶ": 30895, "Ġparenting": 30896, "ĠRis": 30897, "ibile": 30898, "Ġmods": 30899, "å½¢": 30900, "ĠпÑĢовеÑĢ": 30901, "ĠThing": 30902, "ĠWherever": 30903, "Ġacknowledging": 30904, "Ġpawn": 30905, "ummer": 30906, "orb": 30907, "69": 30908, "Ġretrouve": 30909, "Ġrelies": 30910, "ĠHighway": 30911, "Ġawe": 30912, "ãģ§ãģĻãģĭ": 30913, "itaire": 30914, "Ġapplicant": 30915, "Ġaisle": 30916, "worm": 30917, "Ġpayload": 30918, "Ġcarre": 30919, "ĠBach": 30920, "æł¼": 30921, "Ġì¹ľêµ¬ë": 30922, "ние": 30923, "ĠitÃŃs": 30924, "onnaise": 30925, "sol": 30926, "èı¯": 30927, "algia": 30928, "Ġrocking": 30929, "Ġbesten": 30930, "rites": 30931, "^^": 30932, "иной": 30933, "Ġbaixo": 30934, "Ġ기ìĸµ": 30935, "оÑĤÑĢи": 30936, "sim": 30937, "Ġincarn": 30938, "ëĭ¤ìĿĮ": 30939, "Ġlick": 30940, "sided": 30941, "Ġ71": 30942, "forder": 30943, "Ġresonance": 30944, "Ġtegen": 30945, "Ġmetaph": 30946, "owser": 30947, "Ġ×IJ׳×Ĺ׳×ķ": 30948, "?ãĢį": 30949, "Ġspielen": 30950, "Ġvolley": 30951, "ĶìĿ´íģ¬ìĹħ": 30952, "looked": 30953, "Ġsentenced": 30954, "Ġmultiplying": 30955, "Ġideals": 30956, "Ġwahrscheinlich": 30957, "Ġdeposits": 30958, "bilir": 30959, "Ġeffet": 30960, "illon": 30961, "Īë§Į": 30962, "Ġtestimon": 30963, "Ġzawsze": 30964, "ĠпÑĢоÑĨеÑģÑģ": 30965, "ĠLav": 30966, "ä¸įéĮ¯": 30967, "Ġtravailler": 30968, "Ġlaisse": 30969, "ĠMountains": 30970, "ĠÑĢоб": 30971, "Ġexamined": 30972, "itus": 30973, "Was": 30974, "лÑĭ": 30975, "Ġattributed": 30976, "ĠìĬ¹": 30977, "ĠBaron": 30978, "Ġgep": 30979, "Ġattent": 30980, "ĠCollection": 30981, "Ġtheat": 30982, "ĠCai": 30983, "Ġwells": 30984, "Ġhumano": 30985, "çĹħ": 30986, "ĠHast": 30987, "ĠÑħоÑĤÑı": 30988, "czas": 30989, "Ġpermits": 30990, "Ġlegg": 30991, "Ġepo": 30992, "ĠFen": 30993, "Ġthi": 30994, "ĠFoi": 30995, "Ġélect": 30996, "Ġ83": 30997, "Ġoverth": 30998, "Ġè¬Ŀè¬Ŀ": 30999, "Ġtenant": 31000, "è²·": 31001, "Next": 31002, "Ġpraised": 31003, "security": 31004, "ĠImpact": 31005, "为ä»Ģä¹Ī": 31006, "Ġvouch": 31007, "Ġnegó": 31008, "Ġunve": 31009, "Ġcriticize": 31010, "ĠKenya": 31011, "Ġtactic": 31012, "Ġlogr": 31013, "Ġpois": 31014, "Ġpapa": 31015, "speaks": 31016, "ðŁij": 31017, "ispers": 31018, "Ġsurplus": 31019, "Ġcolder": 31020, "åįĹ": 31021, "åIJ¬": 31022, "plets": 31023, "ĠVienna": 31024, "ĠLead": 31025, "Ġaerial": 31026, "ĠTah": 31027, "енÑĤов": 31028, "ĠGreeks": 31029, "Cam": 31030, "Ġmáxim": 31031, "Ġkuin": 31032, "chio": 31033, "Ġdemonstrates": 31034, "anos": 31035, "ĠCert": 31036, "ĠÑįн": 31037, "Ġblogs": 31038, "ĠìĦľìļ¸": 31039, "Ġbeams": 31040, "иков": 31041, "Ġprompted": 31042, "Ġfrightening": 31043, "ĠPorsche": 31044, "ãģĪãģ¦": 31045, "larını": 31046, "Ġchilling": 31047, "isphere": 31048, "Ġflashing": 31049, "ĠKard": 31050, "bread": 31051, "Ġexh": 31052, "Ġtycker": 31053, "Ġecological": 31054, "ĠMae": 31055, "Ġ×ŀ×IJ×ķ×ĵ": 31056, "ĠëĤĺëıĦ": 31057, "лон": 31058, "yss": 31059, "Ġpergunt": 31060, "Ġprix": 31061, "izzard": 31062, "Ġcancers": 31063, "Ġ91": 31064, "susp": 31065, "ĠItem": 31066, "ÅŁa": 31067, "Ġpest": 31068, "ĠtakÄħ": 31069, "Ġlymph": 31070, "ĠPatri": 31071, "fill": 31072, "Ġreconna": 31073, "Ġoptimism": 31074, "Ġmimic": 31075, "Ġì²ľ": 31076, "ĠMadame": 31077, "ocy": 31078, "lining": 31079, "åijĬ訴": 31080, "erme": 31081, "Ġfolders": 31082, "ĠczÅĤ": 31083, "uchar": 31084, "Ġcurso": 31085, "Ġbreach": 31086, "ниÑĤÑĮ": 31087, "ĠpamiÄĻ": 31088, "Ġelig": 31089, "Ġautop": 31090, "Flow": 31091, "Ġprogrammed": 31092, "ĠProcess": 31093, "Ġfigur": 31094, "ĠSF": 31095, "ĠEles": 31096, "Ġprogrammes": 31097, "Ġdizzy": 31098, "ìĭľê°Ħ": 31099, "Ġлибо": 31100, "Ġsniff": 31101, "ĠSebastian": 31102, "ĠHye": 31103, "Ġ4000": 31104, "Ġpermite": 31105, "æ¢Ŀ": 31106, "ĠзаÑī": 31107, "Ġguit": 31108, "ĠDais": 31109, "Ġaccordance": 31110, "Ġmodular": 31111, "ogeneous": 31112, "æĭį": 31113, "Ġpouquinho": 31114, "Ġartillery": 31115, "Ġlubric": 31116, "Ġvolcan": 31117, "ĠNH": 31118, "ðŁ¤": 31119, "Ġdean": 31120, "Rh": 31121, "Ġministre": 31122, "åĿIJ": 31123, "ĠInv": 31124, "ĠBulgar": 31125, "ĠDaten": 31126, "èİ": 31127, "Im": 31128, "Ġoriginated": 31129, "ĠNixon": 31130, "integr": 31131, "Ġlacks": 31132, "ĠNacht": 31133, "ìĸ´ëĤĺ": 31134, "camera": 31135, "Ġradish": 31136, "kiye": 31137, "Ġanges": 31138, "Ġpréf": 31139, "juk": 31140, "ĠBee": 31141, "ĠBU": 31142, "ĠвоÑģп": 31143, "ĠBT": 31144, "êmes": 31145, "ĠStück": 31146, "ĠInk": 31147, "æĪĸèĢħ": 31148, "ĠSergeant": 31149, "ĠMultip": 31150, "Ġhiçbir": 31151, "ĠСам": 31152, "ĠDé": 31153, "olph": 31154, "ìĸ¸": 31155, "Ġimpat": 31156, "ĠìķĬê³ł": 31157, "ĠÑĤакого": 31158, "ĠнавеÑĢное": 31159, "Ġunpredictable": 31160, "Ġmend": 31161, "ĠìĹĨìĸ´ìļĶ": 31162, "ĠjakieÅĽ": 31163, "Ġanni": 31164, "Ġdonné": 31165, "ĠKirsty": 31166, "Ġrectangular": 31167, "Ġempezar": 31168, "ĠExchange": 31169, "ê°Ķ": 31170, "Ġéconom": 31171, "ãģĵãĤĵ": 31172, "elin": 31173, "reibt": 31174, "Ġ×Ķפ": 31175, "Ġcemetery": 31176, "Ġespañol": 31177, "olin": 31178, "лÑİд": 31179, "Ġgrâce": 31180, "allen": 31181, "ĠPhilos": 31182, "ĠErst": 31183, "ĠìĥĪ": 31184, "ĠVid": 31185, "Give": 31186, "OH": 31187, "μο": 31188, "ĠPare": 31189, "Ġmetabolism": 31190, "Ġmaple": 31191, "Ġaxle": 31192, "ĠDy": 31193, "Ġkomme": 31194, "Ïİν": 31195, "Ġgreatness": 31196, "Ġverified": 31197, "Ġspé": 31198, "ĠFahrenheit": 31199, "ĠBren": 31200, "ĠConfeder": 31201, "Ġhistoire": 31202, "Ġeliminating": 31203, "ĠAdding": 31204, "ĠAbi": 31205, "æĿİ": 31206, "Ġhospitality": 31207, "tim": 31208, "Ġbonito": 31209, "Ġpartes": 31210, "ĠдÑĢÑĥгиÑħ": 31211, "ĠShay": 31212, "ĠSed": 31213, "Ġregrets": 31214, "Ñıми": 31215, "Ġtenants": 31216, "éĢŁ": 31217, "ĠPTS": 31218, "Ġdevi": 31219, "ĠLate": 31220, "uez": 31221, "Ġsöyl": 31222, "ãĤ»": 31223, "Ġìŀ¬ë°Į": 31224, "Ġtoggle": 31225, "Ġmasking": 31226, "алÑĮного": 31227, "Ġpersön": 31228, "Ġamerican": 31229, "fik": 31230, "ĠRGB": 31231, "enson": 31232, "ĠKA": 31233, "wwww": 31234, "ĠÑĢег": 31235, "metics": 31236, "Ġeducator": 31237, "ãĤ·ãĥ«ãĤ¯": 31238, "park": 31239, "елÑĮзÑı": 31240, "arus": 31241, "ÑĢеÑĤ": 31242, "Ġfeito": 31243, "Ġchoir": 31244, "Ġlargo": 31245, "Ġeens": 31246, "Ġwatts": 31247, "ĠSingle": 31248, "Ġsusceptible": 31249, "icer": 31250, "ĠвклÑİÑĩ": 31251, "Ġpus": 31252, "íĻĺ": 31253, "Eng": 31254, "Ġfantas": 31255, "Ġspecification": 31256, "Ġconfronted": 31257, "ĠColumbus": 31258, "ивеÑĤ": 31259, "arım": 31260, "Ġcaffeine": 31261, "munition": 31262, "Ġmigrants": 31263, "lide": 31264, "itations": 31265, "ĠGeme": 31266, "ẫ": 31267, "Ġplanner": 31268, "Ġstimulate": 31269, "Ġaproxim": 31270, "ceu": 31271, "ĠNom": 31272, "Ġvog": 31273, "ĠÑĢаÑģÑĤ": 31274, "Ġenseñ": 31275, "Ġsellers": 31276, "Ġguten": 31277, "zd": 31278, "Cal": 31279, "Ġdescript": 31280, "Ġreconciliation": 31281, "zinho": 31282, "á¹ĩa": 31283, "ãģĺãĤĥãģĤ": 31284, "acyj": 31285, "ĠCOL": 31286, "saw": 31287, "ĠíĻķìĿ¸": 31288, "Ġvarit": 31289, "Ġpartnering": 31290, "Ġdetention": 31291, "Ġbombing": 31292, "clapping": 31293, "iencies": 31294, "ondu": 31295, "AME": 31296, "Ġê°ĻìĬµëĭĪëĭ¤": 31297, "cÃŃa": 31298, "ĠпоÑģÑĤо": 31299, "ĠASMR": 31300, "Ġhomepage": 31301, "Ġsiè": 31302, "antha": 31303, "ĠPoll": 31304, "Ġigen": 31305, "cych": 31306, "Ġê°ijìŀIJ기": 31307, "Ġconsiderably": 31308, "ä»ĸçļĦ": 31309, "ĠArist": 31310, "Ġwithstand": 31311, "Ġqualitative": 31312, "ĠKraft": 31313, "ĠÑįлекÑĤ": 31314, "ĠBead": 31315, "екÑĤив": 31316, "Ġcrushing": 31317, "ì³IJ": 31318, "Ġnavy": 31319, "ÙĪÚº": 31320, "sho": 31321, "Ġoak": 31322, "ippers": 31323, "Ġsoils": 31324, "Ġpigment": 31325, "Ġevitar": 31326, "ãĥĩ": 31327, "Ġfuse": 31328, "ĠDale": 31329, ":\"": 31330, "Ġcomplètement": 31331, "Ġkel": 31332, "à¹Ĩ": 31333, "Ġquatre": 31334, "ĠUM": 31335, "Ġë§IJë": 31336, "æł¹": 31337, "ÃŃr": 31338, "Ġleisure": 31339, "ĠHousing": 31340, "Ġfolds": 31341, "estion": 31342, "ARS": 31343, "Ġmash": 31344, "urpose": 31345, "Ġaccumulated": 31346, "ĠStuff": 31347, "èªŀ": 31348, "Ġtapes": 31349, "ĠÑģилÑĮно": 31350, "ĠLOVE": 31351, "Ġ1982": 31352, "Ġscars": 31353, "Ġcapitalist": 31354, "ĠNed": 31355, "Ġsoften": 31356, "Ġnotably": 31357, "Ġforcément": 31358, "ĠRaum": 31359, "ĠнеобÑħод": 31360, "Ġtrademark": 31361, "Ġfertig": 31362, "Ġ?!": 31363, "æĹł": 31364, "Ġreinforced": 31365, "Ġrecharge": 31366, "ĠPutting": 31367, "Ġvillains": 31368, "Ġhandic": 31369, "Ġadvertisement": 31370, "تÙĬ": 31371, "ĠÑģÑĥм": 31372, "ĠRiley": 31373, "×ķ×ij×": 31374, "京": 31375, "Os": 31376, "از": 31377, "Boy": 31378, "Ġsquish": 31379, "ocket": 31380, "Ġtestify": 31381, "æ¼Ķ": 31382, "Ġ׾×ŀ×": 31383, "ĠмаÑģÑģ": 31384, "manuel": 31385, "ĠArkansas": 31386, "iffe": 31387, "Ġanalysts": 31388, "ĠDeaf": 31389, "Ġjó": 31390, "Ġgroceries": 31391, "ĠWheel": 31392, "ĠÑĢиÑģ": 31393, "Ġcòn": 31394, "ĠCob": 31395, "Ġprisons": 31396, "ève": 31397, "ĠCabinet": 31398, "Ġposed": 31399, "Ġguerre": 31400, "ĠLloyd": 31401, "Ġclerk": 31402, "Ġcrises": 31403, "ĠSho": 31404, "ĠOre": 31405, "ĠFootball": 31406, "ĠAdvis": 31407, "ĠZheng": 31408, "èį": 31409, "ĠAMY": 31410, "Ġunfor": 31411, "Ġmonaster": 31412, "Ġcompile": 31413, "Ġimmortal": 31414, "atable": 31415, "Ġparano": 31416, "Ġtiver": 31417, "ĠSteph": 31418, "ĠFuÃŁ": 31419, "Ġdiscontin": 31420, "Ġripe": 31421, "Ġhacking": 31422, "Ġsiendo": 31423, "Ġseguro": 31424, "altres": 31425, "Ġanderes": 31426, "Ġ리ë": 31427, "Ġexports": 31428, "æŃ¥": 31429, "Ġtabii": 31430, "Ġ기ëĭ¤ë": 31431, "Ġbothering": 31432, "Ġpickle": 31433, "ĠBRIAN": 31434, "Ġaltar": 31435, "ĠпÑĢиб": 31436, "Ġtransferring": 31437, "ĠVors": 31438, "ĠÙĩÙĪ": 31439, "ĠZa": 31440, "ĠFrances": 31441, "Ġbrowse": 31442, "emit": 31443, "Ġchewing": 31444, "ĠFreddy": 31445, "Ġeditors": 31446, "älle": 31447, "ĠíĮĢ": 31448, "ĠSque": 31449, "ĠCultural": 31450, "awk": 31451, "ĠSache": 31452, "ĠCarbon": 31453, "ắt": 31454, "FL": 31455, "ĠNGO": 31456, "peÅĤ": 31457, "ĠSou": 31458, "Ġhvor": 31459, "unintelligible": 31460, "Ġë²ķ": 31461, "Ġ°": 31462, "iin": 31463, "Ġ×¢×Ŀ": 31464, "Ġderrière": 31465, "Ġczym": 31466, "ĠApost": 31467, "Ġregarder": 31468, "Ġagrade": 31469, "ĠCandy": 31470, "Ġmare": 31471, "Ġintroduces": 31472, "birds": 31473, "Ġuniquely": 31474, "Ġmuk": 31475, "Ġcooker": 31476, "Ġcrews": 31477, "Ġjeito": 31478, "ERT": 31479, "¶Ħë": 31480, "nisse": 31481, "Ġef": 31482, "Ġcarte": 31483, "ĠYak": 31484, "ĠPAT": 31485, "ино": 31486, "bokki": 31487, "Ġmates": 31488, "Ġdistint": 31489, "Ġì½Ķë¡ľëĤĺ": 31490, "Ġyıl": 31491, "Ġκάν": 31492, "Ġconfigurations": 31493, "enga": 31494, "recht": 31495, "Happy": 31496, "ãĤĦãģ£ãģ¦": 31497, "invest": 31498, "Ġreconstruct": 31499, "ĠÑįÑĤомÑĥ": 31500, "Ġmosque": 31501, "raum": 31502, "Ġvoyez": 31503, "ĠNBC": 31504, "ĠìŀIJìĭł": 31505, "Ġsturdy": 31506, "Ġкап": 31507, "Ġansch": 31508, "alid": 31509, "Ġmasih": 31510, "ĠREP": 31511, "Ġì½Ķë": 31512, "Ġdeduct": 31513, "Ġsalir": 31514, "wurf": 31515, "ilot": 31516, "ĠMutter": 31517, "olds": 31518, "ĠFEMA": 31519, "ĠBib": 31520, "Ġneighboring": 31521, "Ġbliss": 31522, "Ġíĺ¼": 31523, "лиÑģÑĮ": 31524, "ĠÑĤÑĢеб": 31525, "Ġå°±æĺ¯": 31526, "Ġgrenade": 31527, "Ġegal": 31528, "Ġfinely": 31529, "Ġpetals": 31530, "Ġkeer": 31531, "Ġchyba": 31532, "Ġskipping": 31533, "Ġthirteen": 31534, "Ġgravy": 31535, "ĠSAT": 31536, "61": 31537, "Ġног": 31538, "Ġmins": 31539, "ITE": 31540, "Ġsozial": 31541, "íķĺë©´ìĦľ": 31542, "ruktur": 31543, "Ġвозмож": 31544, "ĠопÑıÑĤÑĮ": 31545, "Ġarth": 31546, "ĠCuban": 31547, "Ġtreasures": 31548, "Ġfertilizer": 31549, "Ġawakening": 31550, "Ġë°±ìĭł": 31551, "Ġrall": 31552, "Ġdepict": 31553, "ĠPablo": 31554, "Ġnineteen": 31555, "Ġwatt": 31556, "Ġentirety": 31557, "KS": 31558, "ĠWoods": 31559, "Sch": 31560, "ĠÚ©ÙĪ": 31561, "ĠDry": 31562, "ãģŀ": 31563, "uve": 31564, "Ġreconstruction": 31565, "Ġanatomy": 31566, "Ī를": 31567, "Ġbaba": 31568, "Ġlistener": 31569, "Ġsharpen": 31570, "ĠPeru": 31571, "ĠвÑĭз": 31572, "Ġrecreation": 31573, "Ġinitiate": 31574, "Ġcalor": 31575, "ĠNaj": 31576, "gee": 31577, "ĠFeels": 31578, "ĠSnapchat": 31579, "ĠTet": 31580, "ĠNest": 31581, "ĠDaf": 31582, "ĠFinish": 31583, "ĠÑĤаким": 31584, "úc": 31585, "izens": 31586, "Ġspins": 31587, "Ġembry": 31588, "Ġpassages": 31589, "Ġcient": 31590, "Ġjustification": 31591, "ä»ĸ說": 31592, "Ġolmaz": 31593, "Ġflooded": 31594, "Ġemoji": 31595, "Ġembracing": 31596, "Ġdiscard": 31597, "ĠBasic": 31598, "agog": 31599, "ĠìľĦíķ´": 31600, "Ġasylum": 31601, "erin": 31602, "Ġfim": 31603, "Ġninja": 31604, "Ġautomate": 31605, "Ġallergic": 31606, "ÿÿÿÿ": 31607, "amam": 31608, "ĠмаÑĢ": 31609, "ĠOi": 31610, "äus": 31611, "Ġinduct": 31612, "ĠBEN": 31613, "ĠzÅĤ": 31614, "Ġkażdy": 31615, "ĠAMP": 31616, "nÄĽ": 31617, "Sure": 31618, "Ġquil": 31619, "Ġespec": 31620, "rok": 31621, "BSCRI": 31622, "Ġliebe": 31623, "pus": 31624, "achsen": 31625, "Ġcricket": 31626, "ëĬIJ": 31627, "ĠFrame": 31628, "ekkür": 31629, "arb": 31630, "ĠpÅĻ": 31631, "иÑģÑģ": 31632, "Ġzeggen": 31633, "Ġdoubles": 31634, "ĠDre": 31635, "test": 31636, "insp": 31637, "boys": 31638, "Ġmão": 31639, "ĠVerse": 31640, "Ġmuscular": 31641, "ĠMALE": 31642, "Ġdulu": 31643, "Ġoccasional": 31644, "Lo": 31645, "conomic": 31646, "Ġvak": 31647, "Ġremedy": 31648, "å¤ł": 31649, "ĠâĻªâĻªâĻª": 31650, "vem": 31651, "Ġönem": 31652, "ĠkarÅŁÄ±": 31653, "ĠSharp": 31654, "hur": 31655, "Ġë°©ë²ķ": 31656, "Ġgrandson": 31657, "Ġaktiv": 31658, "ĠThrones": 31659, "ĠìķĪìĹIJ": 31660, "Ġtots": 31661, "Ġsubd": 31662, "ĠPaula": 31663, "Ġgraves": 31664, "ĠBrent": 31665, "ĠникÑĤо": 31666, "Ġsöz": 31667, "Ġcrec": 31668, "ĠVladimir": 31669, "çĸ«": 31670, "Ġпой": 31671, "Ġ\"-": 31672, "Ġpsy": 31673, "atri": 31674, "idan": 31675, "Ġaún": 31676, "Ġstandardized": 31677, "ì¹ĺë": 31678, "ĠкÑĢов": 31679, "ĠZhu": 31680, "something": 31681, "Ġ750": 31682, "Ġmujeres": 31683, "Ġait": 31684, "éĹ´": 31685, "agu": 31686, "Ġcorrected": 31687, "ikka": 31688, "eled": 31689, "ĠCareer": 31690, "owym": 31691, "Ġroommate": 31692, "Ġdescendants": 31693, "ĠNapoleon": 31694, "ĠÐĶо": 31695, "íĸĪìĸ´ìļĶ": 31696, "Ġbunun": 31697, "ĠMicha": 31698, "ç·ļ": 31699, "Ġdescob": 31700, "PI": 31701, "Ġpalabra": 31702, "Ġtracked": 31703, "Ġdependence": 31704, "ĠBarack": 31705, "åģĩ": 31706, "Ġfertility": 31707, "ĠSouthwest": 31708, "Ġincomplete": 31709, "Ġcomunic": 31710, "Ġcompris": 31711, "ĠRestaur": 31712, "Ġacron": 31713, "κα": 31714, "Ġapprentices": 31715, "Ġmusst": 31716, "ĠAbr": 31717, "Ġpentru": 31718, "ĠConsort": 31719, "ĠAvec": 31720, "Ġdumplings": 31721, "LR": 31722, "Ġwszystkie": 31723, "Ġswamp": 31724, "нев": 31725, "uggle": 31726, "Ġwatercolor": 31727, "Ġproton": 31728, "ĠEspaña": 31729, "ocking": 31730, "овал": 31731, "Ġtakim": 31732, "Very": 31733, "Ġdementia": 31734, "ĠÅŁeyi": 31735, "Jac": 31736, "ĠMacBook": 31737, "ĠLiv": 31738, "fficients": 31739, "ĠHunt": 31740, "Ġoverlay": 31741, "æĦŁè¦º": 31742, "ĠSkype": 31743, "punkt": 31744, "Ġconfined": 31745, "ĠAdrian": 31746, "رÙĥ": 31747, "ĠJeep": 31748, "Ġenquanto": 31749, "Ġanest": 31750, "оÑĤвеÑĤ": 31751, "ĠменÑĮ": 31752, "Ġirrigation": 31753, "á»ijn": 31754, "Ġeighteen": 31755, "ĠPon": 31756, "Ġrescued": 31757, "Ġ1983": 31758, "rü": 31759, "jae": 31760, "ĠJeong": 31761, "Ġamazingly": 31762, "ĠFDP": 31763, "Ġbackstage": 31764, "cue": 31765, "ĠÏĥÏĦην": 31766, "ĠاÙĦص": 31767, "Ġlivestock": 31768, "ĠWarner": 31769, "Ġmajors": 31770, "ãĥģãĥ£": 31771, "Ġcooperative": 31772, "ĠBrady": 31773, "rained": 31774, "rieb": 31775, "Ġ×ij×ŀ×": 31776, "ĠдоволÑĮно": 31777, "ĠFE": 31778, "Ġleaked": 31779, "ĠMercury": 31780, "Ġpersuade": 31781, "Ġtransformer": 31782, "ĠNorweg": 31783, "ĠìŬ룬": 31784, "ĠzrobiÄĩ": 31785, "Ġcardiovascular": 31786, "ĠCrash": 31787, "Ġgossip": 31788, "аÑģÑĤÑĮ": 31789, "Ġ쪽": 31790, "Ġswept": 31791, "ĠHorn": 31792, "ĠAté": 31793, "Ġbukan": 31794, "ĠKaw": 31795, "KY": 31796, "ĠStories": 31797, "Gary": 31798, "Ġgardening": 31799, "ĠQuickly": 31800, "ĠFalcon": 31801, "Ġovat": 31802, "cı": 31803, "ĠComplet": 31804, "ĠDate": 31805, "ĠпÑĢим": 31806, "Ġläuft": 31807, "ĠAudrey": 31808, "ĠWent": 31809, "ĠpelÃŃcul": 31810, "Ġcarriage": 31811, "Ġunacceptable": 31812, "nymi": 31813, "ĠÑģлÑĭÑĪ": 31814, "Ġterre": 31815, "uellement": 31816, "EEEE": 31817, "Ġpharmac": 31818, "hões": 31819, "Ġzich": 31820, "Ġmigrate": 31821, "ĠFry": 31822, "ñana": 31823, "ĠMuito": 31824, "EOVER": 31825, "Ġfortress": 31826, "ĠCompan": 31827, "ĠJSON": 31828, "ordnung": 31829, "Ġwarto": 31830, "Ġungef": 31831, "ìħĶìĦľ": 31832, "ĠÑĢок": 31833, "Ġpaddle": 31834, "Jared": 31835, "Ġsubmitting": 31836, "Ġlatch": 31837, "Ġfug": 31838, "ĠкоÑģ": 31839, "ĠEf": 31840, "Ġlaunches": 31841, "Ġft": 31842, "otechn": 31843, "Ġtravelled": 31844, "اÙģ": 31845, "éģķ": 31846, "Ġproch": 31847, "Ġdedim": 31848, "83": 31849, "Ġrebound": 31850, "ĠLU": 31851, "path": 31852, "ĠÑģпÑĢав": 31853, "Ġöl": 31854, "ĠíĤ¤": 31855, "Ġprivat": 31856, "Ġtractor": 31857, "ĠAttention": 31858, "Ser": 31859, "Ġcoses": 31860, "ária": 31861, "pal": 31862, "ĠìĿĢ": 31863, "Ġsuccessor": 31864, "Ġconnectors": 31865, "ĠÑĥÑģÑĤанов": 31866, "Ġgenocide": 31867, "Ġsufficiently": 31868, "ĠAixò": 31869, "Ġstabilize": 31870, "Ġcongest": 31871, "Ġcarving": 31872, "Ġzost": 31873, "ĠбÑĭÑģÑĤÑĢо": 31874, "Ġshortest": 31875, "Ġlivel": 31876, "Ġ89": 31877, "éģĬ": 31878, "Ġerk": 31879, "Ġportraits": 31880, "à¥Ģ": 31881, "èĺ": 31882, "boat": 31883, "llah": 31884, "ANC": 31885, "Ġempirical": 31886, "ĠEcho": 31887, "ĠNederland": 31888, "è¿Ļä¹Ī": 31889, "Net": 31890, "Ġcuidado": 31891, "ĠRoma": 31892, "Ġcalf": 31893, "Ġgiants": 31894, "ĠExplorer": 31895, "ĠCollect": 31896, "alition": 31897, "ĠDestiny": 31898, "Ġausge": 31899, "ĠEdu": 31900, "ĠClo": 31901, "Ġearrings": 31902, "ĠTrack": 31903, "ĠROS": 31904, "ĠBelle": 31905, "çĻ¾": 31906, "Ġpueda": 31907, "Ġdaytime": 31908, "Ġsupplier": 31909, "ĠSV": 31910, "ĠExhale": 31911, "Ġgalera": 31912, "course": 31913, "Ġcentimeter": 31914, "ĠBast": 31915, "mud": 31916, "Ġsangat": 31917, "ĠPhysical": 31918, "Ġprivately": 31919, "Ġtrata": 31920, "lynn": 31921, "illi": 31922, "Ġë©ĶìĿ´íģ¬ìĹħ": 31923, "Ġcrystall": 31924, "Ġpods": 31925, "ản": 31926, "inator": 31927, "ĠRecords": 31928, "å®ĺ": 31929, "ÄŁimiz": 31930, "issement": 31931, "hare": 31932, "hadow": 31933, "ĠDK": 31934, "ĠìķĮê³ł": 31935, "Ġwyn": 31936, "Ġrequesting": 31937, "ĠDonna": 31938, "ĠìĹ´ìĭ¬íŀĪ": 31939, "inea": 31940, "Ġexert": 31941, "ĠDuncan": 31942, "ĠвеÑĩ": 31943, "ĠHah": 31944, "à¤Ĥ": 31945, "ĠLif": 31946, "ĠFinding": 31947, "ĠNov": 31948, "Ġзнак": 31949, "ĠоÑĦ": 31950, "ĠQuè": 31951, "Ġquarterback": 31952, "ĠÑĦак": 31953, "Ġbipartisan": 31954, "ÄŁin": 31955, "Ġnécess": 31956, "Ġreferendum": 31957, "Ġcompiler": 31958, "Ġprobabil": 31959, "еди": 31960, "Ġtrader": 31961, "æĺĵ": 31962, "ĠRum": 31963, "geme": 31964, "Ġdio": 31965, "ĠbÄĻdziemy": 31966, "ĠÏĢά": 31967, "꾸": 31968, "×ķ×ĺ": 31969, "Ġà¤ķ": 31970, "Ġблаг": 31971, "Ġscalp": 31972, "ĠPause": 31973, "Ġcaption": 31974, "Ġendanger": 31975, "Ġenlar": 31976, "Ġrotten": 31977, "ãĥĥãĥĪ": 31978, "Ġwah": 31979, "èĤī": 31980, "Ġdzi": 31981, "ĠInstall": 31982, "Ay": 31983, "Ġcrear": 31984, "енÑĤа": 31985, "Ġweighing": 31986, "Ġbutterflies": 31987, "ĠGast": 31988, "äºķ": 31989, "horn": 31990, "warz": 31991, "ICEOVER": 31992, "ĠнайÑĤи": 31993, "Ġcoefficients": 31994, "ç°¡åĸ®": 31995, "ĠSpencer": 31996, "ĠHigher": 31997, "Ġcowork": 31998, "å¨ĺ": 31999, "ĠкоÑĤоÑĢое": 32000, "Ġmonit": 32001, "Ġdysfunction": 32002, "ĠÑģÑĤанов": 32003, "Ġtournaments": 32004, "Ġoyster": 32005, "BN": 32006, "Ġtrud": 32007, "slow": 32008, "ĠPenny": 32009, "ĠOdys": 32010, "ær": 32011, "Ġfou": 32012, "Ġenjoyment": 32013, "аÑĤÑĭ": 32014, "ĠwyglÄħda": 32015, "алÑĮнаÑı": 32016, "ĠProtect": 32017, "Ġmoy": 32018, "Ġclaw": 32019, "Ġsuspicion": 32020, "Ġsacrificed": 32021, "Ġgosto": 32022, "Big": 32023, "Ġaggressively": 32024, "Ġvorne": 32025, "ãĥł": 32026, "Ġblamed": 32027, "ĠSehr": 32028, "פר": 32029, "cito": 32030, "Ġseals": 32031, "Ġmujer": 32032, "ĠWeird": 32033, "Ġforens": 32034, "Ġcontributes": 32035, "estra": 32036, "Ġpog": 32037, "LOL": 32038, "Ġhacerlo": 32039, "оÑĤÑĮ": 32040, "fiction": 32041, "79": 32042, "λο": 32043, "大æ¦Ĥ": 32044, "声": 32045, "ĠÑĤоб": 32046, "ĠGS": 32047, "ĠClara": 32048, "itez": 32049, "Ġadvocating": 32050, "ĠíĶĦë": 32051, "sung": 32052, "Ġvertices": 32053, "Ġnavigating": 32054, "Ġeuropé": 32055, "çļĨ": 32056, "Ġslowed": 32057, "Ġforeground": 32058, "ĠIndustrial": 32059, "Ġadore": 32060, "ìĭŃ": 32061, "Ġcréer": 32062, "æŀĹ": 32063, "chnitt": 32064, "Ġunaware": 32065, "Ġcurly": 32066, "entar": 32067, "Ġler": 32068, "Ġprohibited": 32069, "ĠHeroes": 32070, "ĠReed": 32071, "uca": 32072, "Ġsmok": 32073, "Ġkunna": 32074, "zeitig": 32075, "immen": 32076, "ĠLun": 32077, "ĠабÑģолÑİÑĤ": 32078, "Ġdegli": 32079, "Ġvillagers": 32080, "Ġpreset": 32081, "zept": 32082, "uds": 32083, "Ġemit": 32084, "ä½łè¦ģ": 32085, "Ġëī": 32086, "ëĬĶì§Ģ": 32087, "нако": 32088, "Ġosób": 32089, "Ġ1969": 32090, "ĠÐIJÑĢ": 32091, "Ġmanchmal": 32092, "ĠBrock": 32093, "Ġmantra": 32094, "ĠWIL": 32095, "bach": 32096, "inä": 32097, "elas": 32098, "keln": 32099, "Ġdisciple": 32100, "Ġqualc": 32101, "Ġdehyd": 32102, "ìĿ´ëĿ¼ëĬĶ": 32103, "Af": 32104, "ìĦ±ìĿ´": 32105, "Ryan": 32106, "Ġpuppet": 32107, "ĠдÑĢÑĥгие": 32108, "Ġrud": 32109, "Ġpending": 32110, "Plus": 32111, "ĠìķĬìĿĦ": 32112, "Ġbá»ĭ": 32113, "ĠSega": 32114, "çe": 32115, "Ġprogrammer": 32116, "bli": 32117, "Ġunl": 32118, "Ġenslaved": 32119, "Ġsociété": 32120, "Äģh": 32121, "Ġinheritance": 32122, "ĠBangl": 32123, "ermaid": 32124, "Ġpractitioner": 32125, "ĠStalin": 32126, "ĠUser": 32127, "cible": 32128, "Ġcardiac": 32129, "ĠKoreans": 32130, "Ġdumped": 32131, "Ġ×Ķ×Ļ×Ķ": 32132, "áis": 32133, "Ġhydraulic": 32134, "oubtedly": 32135, "ĠPit": 32136, "Ġpicnic": 32137, "Ġbehöver": 32138, "ĠÑģмог": 32139, "Ġbraking": 32140, "é»ij": 32141, "utar": 32142, "ĠìĦ¸ë": 32143, "ubl": 32144, "Ġüz": 32145, "Ġmajesty": 32146, "Ġbers": 32147, "utable": 32148, "Ġhotter": 32149, "çħ§": 32150, "ÛĮÙĨ": 32151, "Ġbiases": 32152, "Ġsubjected": 32153, "Ġnaughty": 32154, "Ġcircus": 32155, "ãģĹãģĭ": 32156, "ĠImmedi": 32157, "ĠStefan": 32158, "ĠTriple": 32159, "enk": 32160, "Ġwit": 32161, "Ġrecycle": 32162, "emie": 32163, "dated": 32164, "Ġunload": 32165, "Ġpopula": 32166, "chin": 32167, "Ġyields": 32168, "Ġenglish": 32169, "ĠBonnie": 32170, "Ġspiders": 32171, "Ãģ": 32172, "Ġerosion": 32173, "éĥ¨åĪĨ": 32174, "ĠNICK": 32175, "иÑıÑħ": 32176, "Ġimpart": 32177, "Ġкни": 32178, "Ġresolutions": 32179, "Ġlithium": 32180, "Ġconvergence": 32181, "ĠTara": 32182, "Ġдве": 32183, "ths": 32184, "ĠCindy": 32185, "æĪijè¦ģ": 32186, "幫": 32187, "ĠDIE": 32188, "Ġassurance": 32189, "ĠопиÑģ": 32190, "Ġbuckets": 32191, "Ġcues": 32192, "ĠQuiet": 32193, "Ġsimilarity": 32194, "Ġfoundational": 32195, "ĠMinist": 32196, "滿": 32197, "Ġpian": 32198, "Ġcentr": 32199, "Ġnumb": 32200, "Ġmonks": 32201, "ujourd": 32202, "enzie": 32203, "Ġskateboard": 32204, "Ġdlatego": 32205, "ĠÑģоÑĤ": 32206, "ĠAE": 32207, "Ġmasterpiece": 32208, "ĠSolomon": 32209, "ĠReddit": 32210, "Ġriot": 32211, "abl": 32212, "ĠJazz": 32213, "Ġelectromagnetic": 32214, "Ġinsecure": 32215, "ĠCompet": 32216, "geries": 32217, "обод": 32218, "ł×ķ": 32219, "ðŁĴ": 32220, "Ġsenators": 32221, "ĠBrisbane": 32222, "ĠAlb": 32223, "uttering": 32224, "ĠAllow": 32225, "zero": 32226, "Ġpai": 32227, "ĠÐIJлекÑģ": 32228, "ĠDisplay": 32229, "ĠBlade": 32230, "ĠApps": 32231, "Ġpä": 32232, "ĠдеÑģÑı": 32233, "Ġquella": 32234, "ĠGao": 32235, "еннÑĭÑħ": 32236, "Ġspoilers": 32237, "Ġgallons": 32238, "ĠÙĦÙĬ": 32239, "ĠZion": 32240, "æľīä¸Ģ": 32241, "onie": 32242, "ragt": 32243, "ĠChand": 32244, "Ġë³ij": 32245, "Ġblunt": 32246, "Ġusu": 32247, "ĠKad": 32248, "rakt": 32249, "Ġcinematic": 32250, "Ġammunition": 32251, "rene": 32252, "Ġfourteen": 32253, "ĠCarn": 32254, "crit": 32255, "Ġtenure": 32256, "vu": 32257, "Ġprincipalmente": 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33766, "ĠMorrison": 33767, "Ġlinha": 33768, "Ġbreaths": 33769, "ĠTaste": 33770, "Ġenfrent": 33771, "ĠDocker": 33772, "Ġден": 33773, "Ġethnicity": 33774, "Ġwob": 33775, "Ġsuffers": 33776, "Ġtransitioning": 33777, "ĠRange": 33778, "ÄĻdzy": 33779, "ĠкаÑĤ": 33780, "Ġsyner": 33781, "Ġdonut": 33782, "Ġprobabilities": 33783, "ĠOmar": 33784, "Which": 33785, "uish": 33786, "isin": 33787, "Ġdemos": 33788, "ĠìłĢ기": 33789, "Ġëĺijê°Ļ": 33790, "Ġедин": 33791, "Ġcerve": 33792, "Ġjoka": 33793, "IAN": 33794, "Ġkilometer": 33795, "Ġhorizontally": 33796, "ĠBhag": 33797, "Ġ->": 33798, "ĠMonitor": 33799, "Ġknowledgeable": 33800, "Ġfav": 33801, "Ġpinned": 33802, "ĠeBay": 33803, "icker": 33804, "Ġìŀłê¹IJë§Į": 33805, "ĠXiaomi": 33806, "Ġcapit": 33807, "Ġnp": 33808, "Ġ1965": 33809, "hoe": 33810, "Ġnok": 33811, "ĠSage": 33812, "ĠнелÑĮзÑı": 33813, "ĠTow": 33814, "gam": 33815, "Ġdicen": 33816, "ĠSUBSCRIBE": 33817, "Ġreboot": 33818, "Ġpaj": 33819, "Ġë³´ìŬë": 33820, "Ġthicken": 33821, "ĠReality": 33822, "idän": 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"ĠпÑĢивеÑĤ": 33879, "ĠLIVE": 33880, "Ġrek": 33881, "Ġreceipt": 33882, "åĪ°åºķ": 33883, "ĠBarbie": 33884, "ĠSnake": 33885, "turn": 33886, "Jeff": 33887, "ãģĬãģĬ": 33888, "ķĦ": 33889, "VOICEOVER": 33890, "coll": 33891, "Ġrunners": 33892, "ìłľë": 33893, "osos": 33894, "moon": 33895, "Ġkeynote": 33896, "ĠInstit": 33897, "SPEAK": 33898, "Ġplugs": 33899, "Ġcurv": 33900, "ĠYuri": 33901, "ĠTheres": 33902, "ĠPs": 33903, "ĠμÏĢο": 33904, "Ġconverter": 33905, "Ġrefine": 33906, "Ġbadass": 33907, "Ġοι": 33908, "Ġregen": 33909, "azzi": 33910, "ÙĬÙģ": 33911, "Ġseized": 33912, "Ġiçer": 33913, "ilee": 33914, "Ġupstream": 33915, "Ġbuds": 33916, "Ġpim": 33917, "Ġíķĺ루": 33918, "Ġalluded": 33919, "Ġthemed": 33920, "Ġconsisting": 33921, "Ġbons": 33922, "unuz": 33923, "ĠпÑĢовод": 33924, "ĠLovely": 33925, "à¥ĭ": 33926, "Ġparach": 33927, "ĠStaats": 33928, "éļĬ": 33929, "Ġselective": 33930, "Ġfase": 33931, "ĠGeorget": 33932, "Ġcocaine": 33933, "Ġreproduction": 33934, "ĠLara": 33935, "ĠLD": 33936, "Ġgh": 33937, "Jon": 33938, "ĠlÃ¥": 33939, "ĠëijIJë": 33940, "Ġtyped": 33941, "ĠBana": 33942, "ëĵľë": 33943, "Ġsavory": 33944, "ĠZomb": 33945, "standen": 33946, "Ġpedestrian": 33947, "Ġdifférents": 33948, "Ġìĭ¸": 33949, "èī¯": 33950, "Ġcomplained": 33951, "ç¦ı": 33952, "ĠÐļÑĤо": 33953, "Ġ׾פ": 33954, "aliÅĽmy": 33955, "Ġmortar": 33956, "Ġverdict": 33957, "Ġsuficiente": 33958, "ĠMillion": 33959, "mittel": 33960, "inals": 33961, "ĠاÙĦØ®": 33962, "аÑİÑģÑĮ": 33963, "ĠmiÄĻdzy": 33964, "ĠOle": 33965, "Ġinvert": 33966, "czyÄĩ": 33967, "озможно": 33968, "starter": 33969, "Ġauditor": 33970, "ĠScout": 33971, "chien": 33972, "ĠSverige": 33973, "uffled": 33974, "Ġzehn": 33975, "ĠAuckland": 33976, "Ġargent": 33977, "Ġ1976": 33978, "ĠHoe": 33979, "Ġbothers": 33980, "Ġsocialist": 33981, "Ġpliers": 33982, "Ġemergen": 33983, "ĠXP": 33984, "еÑĢов": 33985, "More": 33986, "ĠLevi": 33987, "ĠAnders": 33988, "ibilidad": 33989, "ĠParents": 33990, "Ġinduced": 33991, "ìĸ´ì¤": 33992, "Ġbalances": 33993, "ĠвÑĭÑĪ": 33994, "Ġsubmarine": 33995, "Start": 33996, "Ġdries": 33997, "Ġvolver": 33998, "Ġticking": 33999, "cott": 34000, "Ġfaj": 34001, "prés": 34002, "ĠSabb": 34003, "ĠзаÑĩ": 34004, "ĠпокÑĥп": 34005, "Ġbaptized": 34006, "ĠBrilliant": 34007, "ĠÐijог": 34008, "Ġmots": 34009, "bits": 34010, "Ġlattice": 34011, "æĪijè·Łä½ł": 34012, "Ġcoriander": 34013, "Ġresidency": 34014, "ync": 34015, "Ġpierwszy": 34016, "ĠKnock": 34017, "ĠZap": 34018, "ĠÐķв": 34019, "견": 34020, "å°ıå¿ĥ": 34021, "Ġuneven": 34022, "ĠJas": 34023, "odor": 34024, "ç¿Ĵ": 34025, "74": 34026, "ĠSite": 34027, "Ġaconteceu": 34028, "ympt": 34029, "Ġtrilogy": 34030, "Ġlantern": 34031, "ĠZucker": 34032, "vari": 34033, "welling": 34034, "ĠPotato": 34035, "gomery": 34036, "Ġreacted": 34037, "ĠChron": 34038, "Ġjede": 34039, "beeld": 34040, "Ġtwent": 34041, "Ġlact": 34042, "æ¨Ĥ": 34043, "Ġrése": 34044, "Ġrelent": 34045, "Ġfurnace": 34046, "Ġwidget": 34047, "Ġearthquakes": 34048, "ĠAdjust": 34049, "ilit": 34050, "ĠØ£ÙĪ": 34051, "Ġhearings": 34052, "Ġdefendant": 34053, "irsiniz": 34054, "Ġbask": 34055, "cja": 34056, "ľ¨": 34057, "Ġrifles": 34058, "Ġinstal": 34059, "ĠForgive": 34060, "pical": 34061, "ĠÐŀÑĩенÑĮ": 34062, "Ġpetites": 34063, "Ġhp": 34064, "Ġrenowned": 34065, "ĠInn": 34066, "Ġ주ìĦ¸ìļĶ": 34067, "Ġemphasized": 34068, "éĹ®é¢ĺ": 34069, "ĠìŀĪì£ł": 34070, "Ġê²ĥìľ¼ë¡ľ": 34071, "ãĤĨ": 34072, "Åĵ": 34073, "gili": 34074, "Dave": 34075, "Ġexhausting": 34076, "ÅĤug": 34077, "Ġschema": 34078, "μά": 34079, "cycl": 34080, "Ġautant": 34081, "Ġparcel": 34082, "Ġmateria": 34083, "ĠBerry": 34084, "ĠÑģами": 34085, "Ġextracted": 34086, "ĠSaying": 34087, "ismatic": 34088, "ĠпопÑĢоб": 34089, "Ġneuron": 34090, "graph": 34091, "ľë©´": 34092, "Ġenclosure": 34093, "ĠJohann": 34094, "Ġaftermath": 34095, "ÑĤоб": 34096, "Ġuży": 34097, "Ġsamp": 34098, "360": 34099, "ĠMei": 34100, "Ġtaco": 34101, "Ġreceptors": 34102, "Ġpunches": 34103, "ĠHoje": 34104, "ĠÙĩÙĨا": 34105, "=\"#": 34106, "ĠAngular": 34107, "Ġmusique": 34108, "Ġrol": 34109, "Ġñ": 34110, "sterreich": 34111, "Ġclam": 34112, "ĠTreasury": 34113, "chemical": 34114, "Ġapar": 34115, "Ġappend": 34116, "Ġforbid": 34117, "ĠHamburg": 34118, "аков": 34119, "Ġê¸Ī": 34120, "ilda": 34121, "Ġpreparations": 34122, "ĠmogÄħ": 34123, "Ġcamino": 34124, "Eric": 34125, "ĠBlind": 34126, "èĪĩ": 34127, "å¹´çļĦ": 34128, "ĠDiscovery": 34129, "ì¸ł": 34130, "çĪ¶": 34131, "Ġinterpreter": 34132, "Ġbred": 34133, "ĠPsalm": 34134, "Ġdefended": 34135, "ìī¬": 34136, "ĠErfahr": 34137, "ĠPeach": 34138, "Ġmoons": 34139, "ĠOst": 34140, "Ġspécial": 34141, "Ġarriver": 34142, "ĠWis": 34143, "uci": 34144, "Ġrobotics": 34145, "IVE": 34146, "Ġsiege": 34147, "arla": 34148, "Ġseparates": 34149, "ĠTC": 34150, "íı°": 34151, "quisite": 34152, "Ġparentheses": 34153, "ике": 34154, "ç«Ļ": 34155, "Ġtrous": 34156, "建": 34157, "ĠÑģилÑĮ": 34158, "Ġbeers": 34159, "ĠплаÑĤ": 34160, "ãģĻãģĶãģĦ": 34161, "Ġsola": 34162, "Ġdès": 34163, "mingham": 34164, "ikte": 34165, "Ġoops": 34166, "Ġtwitch": 34167, "å°ĩ": 34168, "ÏĪ": 34169, "ĠShouldn": 34170, "uvre": 34171, "Ġleer": 34172, "criptions": 34173, "Ġeyeshadow": 34174, "ĠGuo": 34175, "ĠPowell": 34176, "Ġsupuesto": 34177, "Ġana": 34178, "rals": 34179, "ĠMontreal": 34180, "Ġsurfing": 34181, "ĠÐŁÐµÑĢв": 34182, "×ŀ×ķ": 34183, "Ġmilliseconds": 34184, "Ġsuburbs": 34185, "Ġplaneta": 34186, "ÑĥÑĪка": 34187, "hrlich": 34188, "ĠHY": 34189, "ĠسÛĴ": 34190, "ĠMM": 34191, "ĠEff": 34192, "åı¯æĦĽ": 34193, "ĠHS": 34194, "anson": 34195, "Ġì§ģìłij": 34196, "Ġsuo": 34197, "Ġdeploying": 34198, "Ġkunt": 34199, "tering": 34200, "Ġerect": 34201, "ìŀ¥ìĿ´": 34202, "ĠìĿĮìĭĿ": 34203, "Ġspecimen": 34204, "!...": 34205, "æĪij說": 34206, "Ġligne": 34207, "Ġkonst": 34208, "adequ": 34209, "Ġìĥģíĥľ": 34210, "Ġaccessed": 34211, "ĠPole": 34212, "kill": 34213, "Ġë²Ħë": 34214, "Ġauthenticity": 34215, "Ġappelle": 34216, "ulle": 34217, "Ġrevision": 34218, "Ġgoats": 34219, "гли": 34220, "Ġpau": 34221, "ĠRanger": 34222, "ĠImag": 34223, "author": 34224, "Ġeve": 34225, "ĠMessenger": 34226, "Ġnay": 34227, "Ġwholes": 34228, "ätte": 34229, "Ġonwards": 34230, "ĠDepois": 34231, "ĠíijľíĺĦ": 34232, "ĠSARS": 34233, "Ġwszystkich": 34234, "Ġdestru": 34235, "umbing": 34236, "Ġcompatibility": 34237, "Ġmisinformation": 34238, "odore": 34239, "ĠFavor": 34240, "eko": 34241, "ıĮ": 34242, "waukee": 34243, "ĠTeaching": 34244, "ĠKO": 34245, "Ġbetting": 34246, "Ġquests": 34247, "Ġvivre": 34248, "ĠмÑĥзÑĭ": 34249, "Ġsaga": 34250, "Ġswell": 34251, "Ġgehe": 34252, "æĢİ麼樣": 34253, "ĠоÑĢганиз": 34254, "Ġgide": 34255, "ĠGross": 34256, "Ġdalej": 34257, "Ġclaws": 34258, "á»Ļc": 34259, "Ġprejudice": 34260, "Ġinsign": 34261, "ihood": 34262, "Ġpled": 34263, "Ġdónde": 34264, "ĠPolitical": 34265, "Ġpremises": 34266, "undert": 34267, "عت": 34268, "onnen": 34269, "Ġespaço": 34270, "Ġfé": 34271, "ĠHarrison": 34272, "ĠCensus": 34273, "Ġcardio": 34274, "Ġdiy": 34275, "Ġmilieu": 34276, "Ġjournée": 34277, "ĠRelease": 34278, "NIE": 34279, "ĠMuk": 34280, "idée": 34281, "á»įi": 34282, "Ġiçinde": 34283, "ŀĻ": 34284, "Ġresonate": 34285, "Ġmoles": 34286, "ĠFlying": 34287, "ĠGloria": 34288, "ĠPastor": 34289, "ĠArena": 34290, "好ä¸į好": 34291, "NON": 34292, "олов": 34293, "ĠallÃŃ": 34294, "omat": 34295, "ìĸ´ëıĦ": 34296, "ĠcaracterÃŃst": 34297, "Ġdeclining": 34298, "ÑĸÑı": 34299, "anco": 34300, "ĠInform": 34301, "Ġbargain": 34302, "Ġbushes": 34303, "ĠNaturally": 34304, "Ġrechts": 34305, "ĠTensor": 34306, "ĠPatricia": 34307, "Ġprincipio": 34308, "ĠMumbai": 34309, "Ġwomb": 34310, "Ġnostra": 34311, "Ġdilemma": 34312, "Ġirgendwann": 34313, "Ġ1964": 34314, "ĠenergÃŃa": 34315, "ĠнаÑĢ": 34316, "Ġsegregation": 34317, "ĠAthlet": 34318, "Ġ»,": 34319, "Ġyeni": 34320, "ĠSeit": 34321, "Ġvenom": 34322, "Ġdakika": 34323, "ĠëıĮë": 34324, "ĠÃīl": 34325, "Ġfus": 34326, "ĠMog": 34327, "¦½ëĭĪëĭ¤": 34328, "Ġremar": 34329, "ĠTeddy": 34330, "Ġbreasts": 34331, "icans": 34332, "æĶ¶çľĭ": 34333, "kap": 34334, "ĠhÆ¡n": 34335, "ĠJP": 34336, "ãĥ³ãĤ¿": 34337, "Ġresurrect": 34338, "ĠìĿ¸ë": 34339, "herical": 34340, "Ġfotograf": 34341, "ĠJosé": 34342, "Ġlivelihood": 34343, "Ġbibli": 34344, "teri": 34345, "Ġvorstellen": 34346, "ĠAAA": 34347, "Ġassessing": 34348, "YA": 34349, "Ġsplend": 34350, "Ġexcav": 34351, "Ġbaptism": 34352, "yll": 34353, "wow": 34354, "Mac": 34355, "Ġplastics": 34356, "teokbokki": 34357, "Ġintéressant": 34358, "Ġcommanded": 34359, "Ġfamously": 34360, "ĠÐĺли": 34361, "ĠManuel": 34362, "Ġsouthwest": 34363, "Ġdeformation": 34364, "ÃŃculo": 34365, "ĠнаÑħодиÑĤÑģÑı": 34366, "ĠPatter": 34367, "degree": 34368, "ĠczÄĻsto": 34369, "\"-": 34370, "Ġìħĭ": 34371, "Ġmanger": 34372, "ĠTrustee": 34373, "Ģ리": 34374, "Ġpuntos": 34375, "ivable": 34376, "Ġvolatile": 34377, "ĠëĬIJ": 34378, "Ġinstability": 34379, "Ġciel": 34380, "ciÄħ": 34381, "Ġpurity": 34382, "ноÑģÑĤ": 34383, "Sil": 34384, "edar": 34385, "åĻ¨": 34386, "NOUNCER": 34387, "Ġspelled": 34388, "GER": 34389, "Ġsanctuary": 34390, "Ġaccelerating": 34391, "Ġscout": 34392, "ĠпÑĢев": 34393, "fahren": 34394, "ãģĵãģ¡ãĤī": 34395, "ĠëĤĺìĺ¨": 34396, "ĠpoczÄħt": 34397, "ĠMeu": 34398, "kaar": 34399, "³´ê³ł": 34400, "akra": 34401, "Down": 34402, "ĠÃĦr": 34403, "ĠElite": 34404, "Ġallons": 34405, "Ġmayonnaise": 34406, "ĠSustain": 34407, "prisingly": 34408, "Ġsupervis": 34409, "Ġê·¸ëłĩì£ł": 34410, "Ġunemployed": 34411, "Ġfreshly": 34412, "Ġ×ŀ×¢": 34413, "ĠDh": 34414, "Ġtackling": 34415, "Ġogr": 34416, "Ġì´Īë": 34417, "ãĤĪãĤį": 34418, "Ġloft": 34419, "arah": 34420, "ĠAirl": 34421, "ĠDir": 34422, "ĠÐľÐ¾Ð¶Ð½Ð¾": 34423, "Ġbooking": 34424, "ĠCRA": 34425, "Ġhttps": 34426, "Ġchoke": 34427, "Ġgown": 34428, "Ġnoite": 34429, "Ġzac": 34430, "istol": 34431, "Ġsecre": 34432, "Ġresembles": 34433, "Ġcuad": 34434, "ìĤ¬ê°Ģ": 34435, "show": 34436, "Ġblanc": 34437, "Ġagu": 34438, "ĠPrint": 34439, "asted": 34440, "ĠWeather": 34441, "ipl": 34442, "Ġobscure": 34443, "Ġconte": 34444, "oughs": 34445, ");": 34446, "ĠDame": 34447, "ä¸Ģ缴": 34448, "Ġclarification": 34449, "Ġintimacy": 34450, "Ġuphold": 34451, "ĠMirror": 34452, "Ġwagon": 34453, "xide": 34454, "Ġclog": 34455, "apper": 34456, "ĠImmediately": 34457, "úde": 34458, "Ġtouchdown": 34459, "Ġrooft": 34460, "аÑĪа": 34461, "Ġçıkt": 34462, "Ġlaisser": 34463, "ĠUnreal": 34464, "ensitive": 34465, "Ġ123": 34466, "Ġplaster": 34467, "Ġducks": 34468, "Ġetme": 34469, "Ġbishop": 34470, "brevi": 34471, "Ġbic": 34472, "ä¸ĭåİ»": 34473, "Ġruntime": 34474, "Ġambitions": 34475, "маÑĤ": 34476, "ĠWein": 34477, "ĠMari": 34478, "ĠíĬ¸ë": 34479, "Ġresolver": 34480, "ĠngÃły": 34481, "ĠRise": 34482, "ãĤĪãģĨãģ«": 34483, "ĠCrus": 34484, "Ġmerchandise": 34485, "Ġeli": 34486, "Ġstatewide": 34487, "Ġowl": 34488, "éģł": 34489, "æĶ¹": 34490, "Ġtwisting": 34491, "Ġcontaminated": 34492, "ĠCommerce": 34493, "hythm": 34494, "ĠÃĪ": 34495, "Ġìĭ¤ë": 34496, "Ġmusste": 34497, "uir": 34498, "Ġsums": 34499, "ĠSomewhere": 34500, "ãĥİ": 34501, "Ġkami": 34502, "Ġaired": 34503, "ĠANDREW": 34504, "Ġêº": 34505, "Ġviendo": 34506, "Ġantibody": 34507, "Ġabsolument": 34508, "Ġprotesters": 34509, "ĠQuébec": 34510, "stadt": 34511, "Shaun": 34512, "Ġchambers": 34513, 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34570, "ĠNatur": 34571, "upun": 34572, "Ġtrzy": 34573, "Ġnoget": 34574, "Ġhamburger": 34575, "ĠPraise": 34576, "énd": 34577, "Ġ1971": 34578, "ylie": 34579, "krit": 34580, "ĠìĥĿê°ģìĿ´": 34581, "çļ®": 34582, "Ġmomentos": 34583, "Ġesté": 34584, "Ġdissemin": 34585, "Ġgigs": 34586, "Ġdesaf": 34587, "Ġavis": 34588, "ĠZoo": 34589, "ĠìķĬìĿĢ": 34590, "häng": 34591, "åı¥": 34592, "hake": 34593, "ĠBism": 34594, "Ġrethink": 34595, "ĠMalcolm": 34596, "Ġidentifies": 34597, "lower": 34598, "ixel": 34599, "ĠtvÃ¥": 34600, "ked": 34601, "ierz": 34602, "Ġöffentlich": 34603, "Ġproclaim": 34604, "soon": 34605, "lol": 34606, "Ġloi": 34607, "Ġbitten": 34608, "rollo": 34609, "Ġsermon": 34610, "Ġesqu": 34611, "Ġjackets": 34612, "Ġgráfic": 34613, "ĠпоказÑĭв": 34614, "Ġcabeza": 34615, "chodzi": 34616, "Ġpelvis": 34617, "Ġnostalgia": 34618, "Ġbrew": 34619, "Ġshortcuts": 34620, "ĠAdemás": 34621, "Ġsuperficial": 34622, "åħ©åĢĭ": 34623, "Ġboca": 34624, "ĠæĪijæĺ¯": 34625, "imentos": 34626, "åĽłä¸º": 34627, 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"zelf": 34686, "ĠComplete": 34687, "å¸ĥ": 34688, "ĠPhantom": 34689, "ãģ¾ãģļ": 34690, "Ġнез": 34691, "ĠкаÑĢÑĤ": 34692, "ĠAntwort": 34693, "ĠPfizer": 34694, "ĠFranco": 34695, "ĠwÅĤ": 34696, "Ġfrig": 34697, "esper": 34698, "Ġkale": 34699, "Ġfilmmaker": 34700, "Ġkurt": 34701, "Ġinvalid": 34702, "å±Ģ": 34703, "arella": 34704, "Äĥng": 34705, "ramento": 34706, "Ġnutritional": 34707, "Ġdictators": 34708, "Ġafin": 34709, "Ġfuzzy": 34710, "ĠGina": 34711, "ót": 34712, "ĠExtremadura": 34713, "Ġdemonstrations": 34714, "ĠMontgomery": 34715, "íķ´ìĦ¤": 34716, "ĠGandhi": 34717, "ãĥĿ": 34718, "ç½®": 34719, "Ġreunion": 34720, "ĠjakiÅĽ": 34721, "ĠZug": 34722, "OUGH": 34723, "lifting": 34724, "Ġà²": 34725, "á¹Ľá¹£": 34726, "eb": 34727, "ĠWOW": 34728, "ĠShiva": 34729, "ometry": 34730, "Ġwildly": 34731, "Ġtended": 34732, "Ġmegap": 34733, "ì²ĺ": 34734, "Ġnause": 34735, "Ġgerek": 34736, "ãĥĭ": 34737, "ĠMarcel": 34738, "Ġneste": 34739, "خر": 34740, "Ġfeh": 34741, "åĨħ": 34742, "suspenseful": 34743, "ĠWrestle": 34744, "ĠPalestinians": 34745, "ĠGORD": 34746, "iyet": 34747, "ĠÑĢади": 34748, "Ġversuchen": 34749, "Ġtransistor": 34750, "ĠÐŁÑĢоÑģÑĤо": 34751, "ĠпонÑĢав": 34752, "Ġrhyme": 34753, "ĠVermont": 34754, "platz": 34755, "è®°": 34756, "ĠÄ°ÅŁte": 34757, "ĠHag": 34758, "ĠÐĺм": 34759, "ĠÑĢаÑģÑģказ": 34760, "Ġmetros": 34761, "ĠInfinity": 34762, "wolf": 34763, "ibal": 34764, "ftig": 34765, "ĠÚĨ": 34766, "Ġíĺ¹ìĭľ": 34767, "Ġoggi": 34768, "Ġdisposit": 34769, "ĠпÑĢил": 34770, "ĠвÑĭпол": 34771, "Ġthôi": 34772, "ĠKENN": 34773, "Ġhanding": 34774, "actus": 34775, "Ġtacos": 34776, "Ġformerly": 34777, "ĠCorinthians": 34778, "ãģ«ãģ¯": 34779, "ÑĨÑĸÑĹ": 34780, "Ġpadre": 34781, "Ġcongregation": 34782, "æij": 34783, "fert": 34784, "Ġsubir": 34785, "aiser": 34786, "qua": 34787, "araoh": 34788, "ĠCurry": 34789, "ĠìķĬëĬĶ": 34790, "елÑİ": 34791, "Ġfuss": 34792, "Ġbooty": 34793, "Ġlows": 34794, "Ġhommes": 34795, "ĠMH": 34796, "ĠDisneyland": 34797, "went": 34798, "Ġresidue": 34799, "Ġbeeping": 34800, "è¼ķ": 34801, "ätta": 34802, "Ġmould": 34803, "ĠProjekt": 34804, "stalk": 34805, "Ġartifact": 34806, "ĠAntrag": 34807, "ĠAMD": 34808, "ĠCrypt": 34809, "Ġë©Ķ": 34810, "ĠFelipe": 34811, "ĠCOB": 34812, "elu": 34813, "Ġselfies": 34814, "ĠSanti": 34815, "chutz": 34816, "ĠУкÑĢаÑĹ": 34817, "gesamt": 34818, "Ġflock": 34819, "jaz": 34820, "plain": 34821, "Ġwrinkles": 34822, "Ġreais": 34823, "Ġpaljon": 34824, "Ġempowerment": 34825, "Ġattendees": 34826, "ppa": 34827, "Ġneden": 34828, "онÑĭ": 34829, "Ġtimeframe": 34830, "ĠCherry": 34831, "Ġidée": 34832, "Ġgag": 34833, "Ġdonkey": 34834, "Ġông": 34835, "ĠHare": 34836, "éļĽ": 34837, "ĠKara": 34838, "Ġacompan": 34839, "places": 34840, "imientos": 34841, "ĠHamm": 34842, "би": 34843, "uben": 34844, "iliyor": 34845, "Ġthirst": 34846, "Ġkry": 34847, "ĠGeorgetown": 34848, "׳×Ķ": 34849, "Ġorch": 34850, "Ġheartbeat": 34851, "Ġtransformations": 34852, "estones": 34853, "ĠKH": 34854, "Ġcartoons": 34855, "Ġanci": 34856, "Ġworthless": 34857, "Ġtailored": 34858, "pu": 34859, "Americans": 34860, "Ġpiles": 34861, "ĠMonkey": 34862, "Ġbasin": 34863, "ĠTemper": 34864, "ĠPaint": 34865, "Ġpunching": 34866, "Ġbaik": 34867, "ĠOakland": 34868, "vre": 34869, "ÅŁallah": 34870, "ydd": 34871, "Ġcasually": 34872, "odu": 34873, "Ġcoded": 34874, "ĠNorwegian": 34875, "ĠVince": 34876, "Ġpremature": 34877, "ĠPromise": 34878, "екÑģÑĤ": 34879, "Ġdevastated": 34880, "ĠPremium": 34881, "ĠParam": 34882, "ĠÃĸyle": 34883, "umuz": 34884, "PO": 34885, "rators": 34886, "Ġlamps": 34887, "Ġterritorial": 34888, "Ġbackbone": 34889, "listed": 34890, "DY": 34891, "ĠاÙĦر": 34892, "Ġpursued": 34893, "ĠCommons": 34894, "Ġ곡": 34895, "locks": 34896, "edor": 34897, "Ġconceived": 34898, "gere": 34899, "Ġdisappearing": 34900, "ĠSull": 34901, "ĠìĹ°ë": 34902, "Ġhoffe": 34903, "Ġdetox": 34904, "íĶĮ": 34905, "Ġretir": 34906, "ĠëģĿëĤ": 34907, "Ġpergunta": 34908, "ĠBOY": 34909, "ç²¾": 34910, "Ġpenn": 34911, "æĿ¥äºĨ": 34912, "hés": 34913, "hon": 34914, "Ġcatastrophic": 34915, "Ġaust": 34916, "Ġtorso": 34917, "Ġìĸ´ëĬIJ": 34918, "ĠìĤ¬ëŀĮëĵ¤ìĿ´": 34919, "Ġmarvelous": 34920, "ĠHarley": 34921, "achine": 34922, "Ġtiế": 34923, "itto": 34924, "ĠIÃŃm": 34925, "ylon": 34926, "Ġshutdown": 34927, ".''": 34928, "Ġapologies": 34929, "ĠCommunication": 34930, "ĠговоÑĢÑİ": 34931, "ãģĤãĥ¼": 34932, "âĦ¢": 34933, "ÃŃveis": 34934, "acun": 34935, "Ġretaining": 34936, "Ġcontradiction": 34937, "ĠADAM": 34938, "COM": 34939, "Bryan": 34940, "ĠMonsieur": 34941, "Ġadapting": 34942, "ШÐIJ": 34943, "ĠScr": 34944, "ändert": 34945, "Ġplaus": 34946, "ä»Ĭ天çļĦ": 34947, "Ġonset": 34948, "Ġassistants": 34949, "Ġvalves": 34950, "Ġscatter": 34951, "ĠRust": 34952, "awia": 34953, "Ġreadiness": 34954, "Ġpais": 34955, "Ġbible": 34956, "Ġambiente": 34957, "ĠамеÑĢик": 34958, "Ġuncond": 34959, "Ġkalk": 34960, "åĬ¨": 34961, "Ġmoc": 34962, "unn": 34963, "Ġactu": 34964, "Ġhumming": 34965, "issimo": 34966, "ĠPatrol": 34967, "gow": 34968, "ãĥ¤": 34969, "ĠTHEY": 34970, "ĠBoden": 34971, "ĠBie": 34972, "Ġreel": 34973, "ĠÑĥÑģлов": 34974, "Ġendeavor": 34975, "ĠPeriod": 34976, "ustomed": 34977, "mals": 34978, "alon": 34979, "Box": 34980, "ĠÏĥαÏĤ": 34981, "Ġomdat": 34982, "Ġaltre": 34983, "ĠHeh": 34984, "kad": 34985, "Ġprotector": 34986, "Ġdominance": 34987, "odynamic": 34988, "Ġcommunicated": 34989, "kö": 34990, "Ġpredecessor": 34991, "ĠLuk": 34992, "ĠFlower": 34993, "Ġãģ©": 34994, "poque": 34995, "ÑĤиÑĢов": 34996, "Ġretrospect": 34997, "Ġdecisive": 34998, "Ġexempel": 34999, "{\\": 35000, "ĠRück": 35001, "rite": 35002, "ĠZeus": 35003, "Ġcalorie": 35004, "Ġattractions": 35005, "ĠHinter": 35006, "Ġuhm": 35007, "ĠíĮIJ": 35008, "Ġrulers": 35009, "Ġdiscouraged": 35010, "Ġacontecer": 35011, "Ġaccents": 35012, "ĠOptim": 35013, "ĠAlg": 35014, "kids": 35015, "2021": 35016, "ĠLindsay": 35017, "Ġfilmmakers": 35018, "prowad": 35019, "Ġterug": 35020, "ëĭ´": 35021, "ĠSommer": 35022, "2018": 35023, "Ġborrowing": 35024, "ĠTransfer": 35025, "ноп": 35026, "arias": 35027, "Ġheadphone": 35028, "ì¼ľ": 35029, "Ġtranslating": 35030, "Ġaufge": 35031, "à®ªà®Ł": 35032, "weis": 35033, "avant": 35034, "paid": 35035, "baby": 35036, "Ġtoughest": 35037, "Ġrepeats": 35038, "ĠTeresa": 35039, "Lord": 35040, "Ġacabar": 35041, "ĠRide": 35042, "dir": 35043, "Ġleng": 35044, "Ġdwa": 35045, "Ġheadaches": 35046, "Ġnữa": 35047, "ĠнаÑģÑĤоÑıÑī": 35048, "Ġboils": 35049, "Ġlonging": 35050, "rias": 35051, "ório": 35052, "ĠParadise": 35053, "ĠSeñor": 35054, "erdem": 35055, "Ġreinst": 35056, "Ġsalaries": 35057, "Ġinsecurity": 35058, "ÅĤoÅĽci": 35059, "ĠабÑģолÑİÑĤно": 35060, "inken": 35061, "ĠEddy": 35062, "udos": 35063, "Ġdummy": 35064, "Ðļак": 35065, "six": 35066, "Ġinbox": 35067, "ẩ": 35068, "People": 35069, "á»ĵng": 35070, "Ġorganizers": 35071, "find": 35072, "Ġül": 35073, "ĠCOM": 35074, "ża": 35075, "weile": 35076, "Commentary": 35077, "íĬ¸ë¥¼": 35078, "ĠMittel": 35079, "kus": 35080, "èĽĭ": 35081, "न": 35082, "iral": 35083, "Ġgarment": 35084, "ικά": 35085, "Ġstool": 35086, "payers": 35087, "Ġshimmer": 35088, "ĠOllie": 35089, "ĠJeżeli": 35090, "è¿ĺæľī": 35091, "Ġ1977": 35092, "Ġjeux": 35093, "Ġextinct": 35094, "ĠTransportation": 35095, "ĠMaker": 35096, "Ġjohn": 35097, "Ġrichest": 35098, "Ġtraumat": 35099, "Ġliegen": 35100, "´ë¥¼": 35101, "è¿ĻéĩĮ": 35102, "Ġunrest": 35103, "ĠStraw": 35104, "æĭľæĭľ": 35105, "Ġcoma": 35106, "ĠKristen": 35107, "ĠÐļонеÑĩно": 35108, "ĠBryce": 35109, "ĠÑıкÑĸ": 35110, "Ġpearls": 35111, "ĠпонимаÑİ": 35112, "Ġadditions": 35113, "Ġasympt": 35114, "ĠменÑĮÑĪе": 35115, "Ġscans": 35116, "Child": 35117, "ĠHide": 35118, "кÑĥÑİ": 35119, "etas": 35120, "Ġdank": 35121, "Ġpleas": 35122, "Ġessays": 35123, "Ġjets": 35124, "åħĴ": 35125, "Ġвед": 35126, "Ġpositives": 35127, "hof": 35128, "-)": 35129, "zzo": 35130, "Ġstarters": 35131, "Ġsmiled": 35132, "Ġ1944": 35133, "quiera": 35134, "Ġrok": 35135, "Ġpuesto": 35136, "Nico": 35137, "Ġsimulations": 35138, "Ġà¶": 35139, "Ġintrigued": 35140, "ĠOverwatch": 35141, "åĸĤ": 35142, "sigh": 35143, "bai": 35144, "Ġë§IJê³ł": 35145, "idé": 35146, "Ġcrabs": 35147, "áºŃp": 35148, "ĠIraqi": 35149, "ìĿ´ë¥¼": 35150, "ÑĤÑı": 35151, "ĠSophia": 35152, "ĠDNS": 35153, "Ġönemli": 35154, "ĠLuo": 35155, "Ŀ¤": 35156, "ĠCounsel": 35157, "ligen": 35158, "анÑĮÑĪе": 35159, "Ġtrumpet": 35160, "Ġdapat": 35161, "ĠJM": 35162, "ĠEVERY": 35163, "Ġå°įä¸įå°į": 35164, "夢": 35165, "ĠLayer": 35166, "Ġcô": 35167, "нал": 35168, "ĠJoo": 35169, "ĠHack": 35170, "Ġsunt": 35171, "ĠLeonard": 35172, "ĠFirebase": 35173, "änger": 35174, "Ġexploding": 35175, "voy": 35176, "Ġì¦IJ": 35177, "ĠÑģеÑĢÑĮ": 35178, "Ġseverity": 35179, "Ġbestimm": 35180, "çµIJæŀľ": 35181, "Ġtiring": 35182, "Ġprocurement": 35183, "Ġdiplomacy": 35184, "Ġdecorative": 35185, "ĠÙĬا": 35186, "Ġpenetration": 35187, "Õ«": 35188, "Ġoutright": 35189, "ENE": 35190, "ĠUni": 35191, "odles": 35192, "Ġzeros": 35193, "Ġdelightful": 35194, "jm": 35195, "Ġdopo": 35196, "没äºĭ": 35197, "Ġpositivity": 35198, "ĠVISTA": 35199, "ĠResource": 35200, "íĥĢë": 35201, "ÑĪие": 35202, "Carl": 35203, "Ġpiping": 35204, "Ġchopping": 35205, "ĠGanze": 35206, "üss": 35207, "ĠAo": 35208, "Ġshattered": 35209, "ĠDetective": 35210, "Ġundoubtedly": 35211, "Ġhalluc": 35212, "Ġench": 35213, "ÑĭÑĩно": 35214, "ÑĥлÑıÑĢ": 35215, "isesti": 35216, "Ġpedals": 35217, "Ġdurum": 35218, "¤íĶ": 35219, "laimer": 35220, "Ġpropre": 35221, "Cu": 35222, "Ġtranslator": 35223, "ĠcaÅĤ": 35224, "Ġ그걸": 35225, "ĠcaÅĤy": 35226, "UA": 35227, "Ġrevised": 35228, "Ġподоб": 35229, "ĠArticle": 35230, "ĠHaiti": 35231, "ĠÃĵ": 35232, "ĠCtrl": 35233, "Ġrozm": 35234, "lait": 35235, "Ġletzte": 35236, "ispering": 35237, "display": 35238, "Ġaluminium": 35239, "Ġpalabras": 35240, "Ġconocer": 35241, "Ġzitten": 35242, "Ġdirig": 35243, "åıªæľī": 35244, "Ġbrainstorm": 35245, "Ġwifi": 35246, "ĠParticip": 35247, "Ġviewpoint": 35248, "ĠQuan": 35249, "Ġhierarch": 35250, "Welcome": 35251, "対": 35252, "Ġoffen": 35253, "ĠRecovery": 35254, "gano": 35255, "Would": 35256, "Ġrepro": 35257, "Ġperceptions": 35258, "Ġdemasi": 35259, "ĠBangladesh": 35260, "ĠIncredible": 35261, "Ġletzt": 35262, 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36184, "Ġê·¸ëŀ¬": 36185, "Ġlookin": 36186, "ĠTY": 36187, "ĠMint": 36188, "Add": 36189, "Ġmite": 36190, "ĠSmoke": 36191, "Ġnota": 36192, "Ġmoss": 36193, "ĠAbend": 36194, "Ġ컨": 36195, "Ġexaggerated": 36196, "fires": 36197, "Ġredist": 36198, "ffiti": 36199, "Ġopenness": 36200, "ê°IJìĿ´": 36201, "endeu": 36202, "енной": 36203, "Watch": 36204, "Ġavatar": 36205, "ĠPey": 36206, "urun": 36207, "Ġsenza": 36208, "Ġì§ĢìĹŃ": 36209, "ĠNatomiast": 36210, "Ġemergence": 36211, "rays": 36212, "Ġcrafted": 36213, "gary": 36214, "ãģłãģij": 36215, "üng": 36216, "-\"": 36217, "Ġhacked": 36218, "Ġstray": 36219, "encie": 36220, "emo": 36221, "Ġcomen": 36222, "ĠKız": 36223, "ĠJasmine": 36224, "ĠHindi": 36225, "manas": 36226, "Ġinfinitely": 36227, "emon": 36228, "ìĿ¸ëį°ìļĶ": 36229, "jak": 36230, "Ġroaring": 36231, "érique": 36232, "sweise": 36233, "ĠRolex": 36234, "åł±å°İ": 36235, "ĠStuart": 36236, "bnb": 36237, "Ġdiagnose": 36238, "Ġcoherent": 36239, "ĠMJ": 36240, "æºĸåĤĻ": 36241, "Ġpike": 36242, "lav": 36243, "Ġorchestral": 36244, "аÑģÑĤи": 36245, "Ġterminar": 36246, "Ġgatherings": 36247, "Ġcompliant": 36248, "Ġupgrading": 36249, "Ġregulator": 36250, "Ġlanç": 36251, "éĢ£": 36252, "Ġmerchants": 36253, "tawa": 36254, "Ġmonitored": 36255, "Ġrendre": 36256, "两": 36257, "Ġunterwegs": 36258, "anguard": 36259, "gard": 36260, "ĠBelow": 36261, "duino": 36262, "ĠЦе": 36263, "Ġimpedance": 36264, "ìľ¡": 36265, "份": 36266, "Ġaktuell": 36267, "ĠVatic": 36268, "åŃ©": 36269, "Ġstewards": 36270, "Ġbrightest": 36271, "Ġkenn": 36272, "Ġkau": 36273, "ĠMatrix": 36274, "ĠBark": 36275, "ĠðŁij": 36276, "Ġtaper": 36277, "Ġcasino": 36278, "ר×Ķ": 36279, "ysical": 36280, "Ġbuilders": 36281, "ĠczÅĤowie": 36282, "ĠNepal": 36283, "Ġ!\"": 36284, "Ġterme": 36285, "Ġinnych": 36286, "Ġmaths": 36287, "Ġdrafted": 36288, "ĠBalk": 36289, "Ġhesitant": 36290, "Ġvoltar": 36291, "Ġrevive": 36292, "ĠÑĦилÑĮма": 36293, "Ġassassin": 36294, "ĠSolutions": 36295, "Ġduel": 36296, "Ġbearings": 36297, "à¸Ħะ": 36298, "Ġrookie": 36299, "ikat": 36300, "Ġbiscuits": 36301, "Ġcords": 36302, "ÑĥваÑĤи": 36303, "ARIN": 36304, "Ġprogressing": 36305, "ĠGir": 36306, "Ġpenetrate": 36307, "ĠStorage": 36308, "eight": 36309, "ĠÑĤÑĢÑĥ": 36310, "ĠdonÃŃt": 36311, "Ġsizin": 36312, "Ġoutdated": 36313, "ĠнаÑĪи": 36314, "Ġaffir": 36315, "Ġspoons": 36316, "Ġoni": 36317, "Ġflank": 36318, "ĠGol": 36319, "hã": 36320, "Ġpéri": 36321, "Ġhonorable": 36322, "ĠBreathe": 36323, "scenes": 36324, "Ġobviamente": 36325, "икÑģ": 36326, "Ġש×ŀ×": 36327, "Ġsmoothie": 36328, "ŀĪë": 36329, "Ġdime": 36330, "ĠíĸĪìĸ´ìļĶ": 36331, "Ġappel": 36332, "ĠCatholics": 36333, "Ġsingles": 36334, "Ġlaten": 36335, "Ġçünkü": 36336, "ĠVader": 36337, "æıĽ": 36338, "Ġvardı": 36339, "ĠIstanbul": 36340, "gré": 36341, "ĠElsa": 36342, "ël": 36343, "Ġinvece": 36344, "Ġcrane": 36345, "Ġobe": 36346, "ĠShark": 36347, "Ġsmack": 36348, "Ġrestoring": 36349, ".\\": 36350, "Ġë¹łë": 36351, "Ġfaded": 36352, "umbers": 36353, "Singing": 36354, "Ġdepressing": 36355, "thest": 36356, "ĠWahr": 36357, "Ġmultitude": 36358, "ÑĢавÑģÑĤвÑĥйÑĤе": 36359, "rijk": 36360, "eka": 36361, "Ġcompletes": 36362, "ĠWells": 36363, "Ġroy": 36364, "ĠPray": 36365, "ĠKalau": 36366, "izin": 36367, "iaÅĤem": 36368, "Ġlocom": 36369, "ĠNashville": 36370, "ĠPentagon": 36371, "미": 36372, "ĠNEW": 36373, "ÄħÄĩ": 36374, "ÃŃss": 36375, "Ġmarrying": 36376, "Ġfeud": 36377, "íĻķ": 36378, "æĢ¥": 36379, ")!": 36380, "ĠOperations": 36381, "ÑĥÑĶ": 36382, "Ġmoje": 36383, "Ġinstructed": 36384, "ĠëĪĦ구": 36385, "Ġ×Ķ×Ĵ": 36386, "ĠпомоÑīÑĮÑİ": 36387, "Ġsabia": 36388, "ìķĺìĸ´ìļĶ": 36389, "plane": 36390, "pri": 36391, "ĠполноÑģÑĤÑĮÑİ": 36392, "ĠKitty": 36393, "Ġpróprio": 36394, "edere": 36395, "Ġinteresante": 36396, "Ġде": 36397, "Ġcondensed": 36398, "Ġavent": 36399, "TOR": 36400, "Ġgreasy": 36401, "ARK": 36402, "orta": 36403, "AJ": 36404, "Ġdisreg": 36405, "Ġcorrections": 36406, "Ġstero": 36407, "Ġinfluenza": 36408, "Ġdesses": 36409, "Ġballots": 36410, "Ġmeget": 36411, "Ġmafia": 36412, "Ġböl": 36413, "nost": 36414, "ĠÑģÑĤаÑĤÑĮ": 36415, "Ġresponder": 36416, "Ġhinten": 36417, "grav": 36418, "à¸Ńะ": 36419, "ynchron": 36420, "Ġviens": 36421, "Ġsamo": 36422, "Ġdt": 36423, "pannt": 36424, "ĠÅĽwiat": 36425, "ĠзапиÑģ": 36426, "Ġmerged": 36427, "Ġkep": 36428, "Ġmisleading": 36429, "Ġdigamos": 36430, "Ġammon": 36431, "è¾Ľ": 36432, "chet": 36433, "Ġê°Ģìł¸": 36434, "Ġuni": 36435, "ĠëIJĺëĬĶëį°": 36436, "ĠнапÑĢав": 36437, "ĠкоÑĤоÑĢого": 36438, "Ġanimate": 36439, "×ķ×IJ×": 36440, "еÑĢв": 36441, "Ġminced": 36442, "Ġkaum": 36443, "ãģĤãģģ": 36444, "ÏĢε": 36445, "лег": 36446, "existing": 36447, "Ġplataform": 36448, "ĠKRIS": 36449, "ìĽł": 36450, "ĠFamilien": 36451, "ĠLibya": 36452, "Ġbiodiversity": 36453, "Ġidiots": 36454, "irdi": 36455, "Ġszyb": 36456, "ĠRolling": 36457, "ücht": 36458, "ĠÑĥдив": 36459, "ÑģÑĥд": 36460, "Ġrealizar": 36461, "Ġcanned": 36462, "ĠÑĢан": 36463, "Ġmetabolic": 36464, "ĠBeef": 36465, "Ġkilka": 36466, "лÑİÑģ": 36467, "Ġregistry": 36468, "моÑĤÑĢиÑĤе": 36469, "Ġvielä": 36470, "Ġodc": 36471, "Ġcondemned": 36472, "æ©ĭ": 36473, "fal": 36474, "ĠDil": 36475, "woÅĽci": 36476, "Aw": 36477, "Ġstatistically": 36478, "Ġsogen": 36479, "ĠBETH": 36480, "Ġshaving": 36481, "幸": 36482, "ocal": 36483, "ĠFunny": 36484, "Ġpeacefully": 36485, "Ġaddictive": 36486, "ĠInsert": 36487, "lauf": 36488, "Ġexperiencia": 36489, "é¦ĸåħĪ": 36490, "иÑĤелÑı": 36491, "ÃŃgen": 36492, "ágina": 36493, "Ġabdomen": 36494, "íķľëĭ¤": 36495, "icus": 36496, "imana": 36497, "ìį¨": 36498, "arching": 36499, "Ġkonkret": 36500, "ìķĺë": 36501, "ека": 36502, "oufl": 36503, "ivel": 36504, "Ġnude": 36505, "ètres": 36506, "Ġmonsieur": 36507, "Ġclash": 36508, "Ġtherapists": 36509, "Ġcubed": 36510, "Ġretrouver": 36511, "Ġwaveform": 36512, "Ġpotem": 36513, "ĠFormer": 36514, "isión": 36515, "åºľ": 36516, "Ġ×IJ×Ŀ": 36517, "undos": 36518, "ĠMeinung": 36519, "صÙĦ": 36520, "ĠJude": 36521, "ĠnÃ¥r": 36522, "ĠLeonardo": 36523, "ĠCristo": 36524, "ĠGOT": 36525, "ÑģÑĤÑĢÑĥк": 36526, "LAN": 36527, "ĠgÃ¥ng": 36528, "Ġdéb": 36529, "ĠFrankfurt": 36530, "Ġcrappy": 36531, "Ġlil": 36532, "année": 36533, "ĠмеÑģÑĤе": 36534, "RET": 36535, "ĠNer": 36536, "ĠCOSTA": 36537, "Ġjedem": 36538, "Ġcurtains": 36539, "Ġiterations": 36540, "Ġunav": 36541, "Ġplaque": 36542, "orum": 36543, "Ġζ": 36544, "Ġnúmeros": 36545, "Ġdesap": 36546, "²½": 36547, "Ġcompiled": 36548, "Ġrefle": 36549, "Ġrankings": 36550, "Ġrepaired": 36551, "ĠÐĿапÑĢ": 36552, "Ġdownloads": 36553, "Ġarmour": 36554, "Ġ×Ļ×ķתר": 36555, "Ġlongevity": 36556, "ĠTONER": 36557, "ĠкомменÑĤаÑĢ": 36558, "Ġczego": 36559, "Ġnotify": 36560, "Ġairports": 36561, "Ġenduring": 36562, "lette": 36563, "Ġapparat": 36564, "Ġhabil": 36565, "á»ĩc": 36566, "nad": 36567, "ICO": 36568, "ĠBrah": 36569, "Ġsegún": 36570, "Ġgovernors": 36571, "kaha": 36572, "ĠSchluss": 36573, "Ġodpowied": 36574, "irting": 36575, "Ġrempl": 36576, "ĠAboriginal": 36577, "identally": 36578, "Ġenhancing": 36579, "licting": 36580, "ĠHawaiian": 36581, "Ġstriving": 36582, "ĠNiet": 36583, "Ġznaczy": 36584, "Ġobedience": 36585, "ĠnÃ¥got": 36586, "Ġexpired": 36587, "Ġ1918": 36588, "presented": 36589, "Ġprowad": 36590, "ĠTerr": 36591, "ĠPrinceton": 36592, "Ġmorgen": 36593, "Ġattracting": 36594, "ĠSigma": 36595, "igner": 36596, "ĠRechts": 36597, "ĠPeki": 36598, "Ġmethy": 36599, "Ġhamm": 36600, "Ġdireito": 36601, "Ġdelegation": 36602, "иваÑİÑĤ": 36603, "Ġgin": 36604, "Young": 36605, "Ġdependencies": 36606, "ĠBradley": 36607, "buds": 36608, "Ġfis": 36609, "Ġpytanie": 36610, "Ġinterconnected": 36611, "Ġembaixo": 36612, "ĠSas": 36613, "Ġruh": 36614, "ĠSicht": 36615, "Sur": 36616, "Ġsuperb": 36617, "ĠSabbath": 36618, "ĠDanger": 36619, "kol": 36620, "Ġhou": 36621, "supp": 36622, "ĠNacional": 36623, "Ġsuccession": 36624, "Ġvá": 36625, "ĠMaÃŁnahmen": 36626, "ĠJessie": 36627, "ĠIdaho": 36628, "forest": 36629, "ħĺ": 36630, "Ġ×ŀ×ĵ": 36631, "ĠØ£ÙĬ": 36632, "Ġsweetheart": 36633, "Ġneatly": 36634, "ĠEvangel": 36635, "곡": 36636, "ĠSuite": 36637, "ública": 36638, "ĠÑĥли": 36639, "ĠAnnouncer": 36640, "ligh": 36641, 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36699, "è¿Ľ": 36700, "ĠSurprise": 36701, "ĠHao": 36702, "Ġìµľê³ł": 36703, "ĠGW": 36704, "ĠInner": 36705, "Ġquieren": 36706, "Ġminded": 36707, "Ġsupercomputer": 36708, "Ġdiagrams": 36709, "íĬľë": 36710, "ê²łìĸ´": 36711, "ĠобÑĬÑıÑģ": 36712, "Ġestaban": 36713, "Ġdestroys": 36714, "ĠBreaking": 36715, "ĠkarÄ±ÅŁ": 36716, "Ġrebuilding": 36717, "ľëĮĢ": 36718, "ливо": 36719, "ĠSauce": 36720, "ĠFusion": 36721, "×ķ×ŀ×": 36722, "ĠQuinn": 36723, "Ġgauche": 36724, "ĠÙĪØ£": 36725, "ĠÈ": 36726, "çĵľ": 36727, "Ġtechno": 36728, "Ġdispatch": 36729, "ĠaÅŁk": 36730, "Ġeinzel": 36731, "ĠGmail": 36732, "çŀ": 36733, "Ġê°ľìĿ¸": 36734, "ĠÑģемÑĮ": 36735, "Ġjourneys": 36736, "Ġiht": 36737, "Ġfibre": 36738, "Ġdramas": 36739, "ouched": 36740, "Ġrename": 36741, "ĠопеÑĢ": 36742, "Ġpoo": 36743, "ĠDru": 36744, "ĠиÑĤог": 36745, "Ġzast": 36746, "Ġcoz": 36747, "Ġzucch": 36748, "Ġobtaining": 36749, "Ġcommute": 36750, "Ġsubmer": 36751, "ĠVish": 36752, "ĠRabb": 36753, "ogg": 36754, "Ġhut": 36755, "íĸĪìĸ´": 36756, "æ¯Ķå¦Ĥ": 36757, "eremi": 36758, "Ġμα": 36759, "Ġdiskut": 36760, "ĠбÑĥк": 36761, "Ġimpaired": 36762, "depend": 36763, "ĠÙĪا": 36764, "ĠÑĢÑĥк": 36765, "ĠбаÑĢ": 36766, "Ġoxidation": 36767, "Ġsituação": 36768, "ÉĻn": 36769, "ução": 36770, "Ġsagte": 36771, "ĠSER": 36772, "ĠCake": 36773, "Ġturmeric": 36774, "ĠKak": 36775, "bung": 36776, "ĠKá¹Ľá¹£á¹ĩa": 36777, "Ġpoisoning": 36778, "Ġslipping": 36779, "ĠSays": 36780, "å°±åı¯ä»¥": 36781, "òng": 36782, "çŁ³": 36783, "«": 36784, "ĠClaudia": 36785, "ĠCharacter": 36786, "ниÑĨ": 36787, "coat": 36788, "Ġprogressed": 36789, "ĠFergus": 36790, "Ġìĺ¤ëĬ": 36791, "Ġoat": 36792, "ordable": 36793, "ĠLey": 36794, "ĠHeraus": 36795, "Ġresultados": 36796, "ĠKayla": 36797, "Ġriff": 36798, "Ġchegou": 36799, "Ġxi": 36800, "Ġspacious": 36801, "Ġrecognised": 36802, "Ġech": 36803, "ĠTie": 36804, "Ġlauncher": 36805, "Jim": 36806, "Ġsuppression": 36807, "ĠImpossible": 36808, "Ġguitars": 36809, "ĠFourier": 36810, "иÑĩеÑģкий": 36811, "ĠTherap": 36812, "ĠKaf": 36813, "centered": 36814, "ĠÑģооÑĤвеÑĤ": 36815, "Ġklim": 36816, "Ġcarbohydrates": 36817, "ignant": 36818, "ĠAstron": 36819, "Ġemple": 36820, "Ġdrastic": 36821, "ĠмиÑĢе": 36822, "вин": 36823, "uw": 36824, "Ġprettier": 36825, "Ġdonuts": 36826, "ĠAthena": 36827, "Ġdissert": 36828, "Ġplante": 36829, "Ġuranium": 36830, "ìĿĮë": 36831, "aré": 36832, "Ġrzecz": 36833, "Ġdisplaying": 36834, "æĪ²": 36835, "Ġsarc": 36836, "rão": 36837, "Ġtampoco": 36838, "Ġphilosophers": 36839, "ĠRecht": 36840, "æĵļ": 36841, "Ġcomentarios": 36842, "yse": 36843, "Ġìľ¤": 36844, "Ġmise": 36845, "ĠGin": 36846, "Ġном": 36847, "ĠFROM": 36848, "liner": 36849, "atif": 36850, "ĠspoÅĤec": 36851, "xa": 36852, "ĠÑĤÑĢÑĥд": 36853, "Ġwag": 36854, "기ìĹIJ": 36855, "ĠMG": 36856, "Ġoffspring": 36857, "ĠUnderstanding": 36858, "åıªæĺ¯": 36859, "ORA": 36860, "Ġwhirring": 36861, "Ġsurrend": 36862, "Ġpoker": 36863, "Ġmonuments": 36864, "ĠâĻ©": 36865, "Ġorganised": 36866, "ĠSozial": 36867, "ĠFactory": 36868, "Ñħа": 36869, "Ġresemble": 36870, "зд": 36871, "Ġexplosions": 36872, "Ġpayroll": 36873, "Ġomn": 36874, "ĠJorge": 36875, "ιÏĥ": 36876, "Ġfracture": 36877, "Ġpersecution": 36878, "Ġdemais": 36879, "ECH": 36880, ",)": 36881, "Ġcriar": 36882, "ĠJOSH": 36883, "Ġdemographics": 36884, "Ġ1600": 36885, "Ġcurrencies": 36886, "ĠTips": 36887, "ĠéĢĻåĢĭ": 36888, "ĠRefer": 36889, "ĠDancing": 36890, "Ġinconsistent": 36891, "Ġdeh": 36892, "Ġimmens": 36893, "Ġmeist": 36894, "Ġimpatient": 36895, "Ġbehaves": 36896, "æĿ¾": 36897, "ĠëĤ´ìļ©": 36898, "Ġbackstory": 36899, "Ġagreeing": 36900, "ĠÅģ": 36901, "ihin": 36902, "Ġtemperatura": 36903, "ĠBackground": 36904, "Ġnutzen": 36905, "Ġëħ¹": 36906, "ĠMänner": 36907, "Ġcollaborations": 36908, "ĠKos": 36909, "éģİåİ»": 36910, "Ġnightmares": 36911, "ëĵ±": 36912, "ĠQueensland": 36913, "Ġassociates": 36914, "ĠKok": 36915, "Ġfactorial": 36916, "ĠHyung": 36917, "Ġê·¸ëĭ¤ìĿĮ": 36918, "Ġfilho": 36919, "Ġelét": 36920, "Ġíĸīë³µ": 36921, "°±": 36922, "Ġgefunden": 36923, "Ġsemicondu": 36924, "Ġcounselors": 36925, "ĠUpper": 36926, "ĠAub": 36927, "ickers": 36928, "Ver": 36929, "Ġnorthwest": 36930, "ĠMaintenant": 36931, "ĠLakes": 36932, "аÑıв": 36933, "inté": 36934, "ì°½": 36935, "Ġгаз": 36936, "Ġgiorn": 36937, "Ġdigitally": 36938, "ĠCircuit": 36939, "ì¼Ģ": 36940, "ãĤĬãģ¾ãģĹãģŁ": 36941, "Ġcheerful": 36942, "ĠPeterson": 36943, "ĠDanish": 36944, "ativos": 36945, "Ġliken": 36946, "Ġharbor": 36947, "алиÑģÑĤ": 36948, "xe": 36949, "Ġcurls": 36950, "ĠRhod": 36951, "End": 36952, "ĠET": 36953, "Ġacquaint": 36954, "ĠKelvin": 36955, "Ġtrif": 36956, "ĠAway": 36957, "ìŀIJëĬĶ": 36958, "vs": 36959, "Ġpágina": 36960, "Ġinlet": 36961, "ĠSantos": 36962, "Ġìļ°ìĻĢ": 36963, "Ġyapıyorsun": 36964, "theme": 36965, "Ġsouff": 36966, "Ġinjected": 36967, "Ġpóźniej": 36968, "iverso": 36969, "amped": 36970, "Ġdaher": 36971, "Ġdagger": 36972, "ĠлÑİбим": 36973, "Ġtummy": 36974, "Ġenlightened": 36975, "cents": 36976, "ĠDah": 36977, "Ġcuest": 36978, "ä¾Ĩ說": 36979, "ILY": 36980, "Ġ×ijר": 36981, "Ġbanging": 36982, "ĠEmil": 36983, "ĠCler": 36984, "ĠBorder": 36985, "ижÑĥ": 36986, "Ġpresenters": 36987, "ĠSTUD": 36988, "coins": 36989, "ĠíĻį": 36990, "Ġperks": 36991, "Ġparap": 36992, "Ġcertaines": 36993, "ĠLore": 36994, "öst": 36995, "ĠMARTIN": 36996, "Ġbios": 36997, "Ġwhereby": 36998, "verts": 36999, "ĠMiranda": 37000, "Ġstip": 37001, "澤": 37002, "andez": 37003, "׼׾": 37004, "ujin": 37005, "Ġê¾": 37006, "Ġallergies": 37007, "plate": 37008, "Ġyapıl": 37009, "Ġundertake": 37010, "ĠëĤĺê°Ģ": 37011, "Part": 37012, "Ġkızım": 37013, "hguru": 37014, "ãģĤãģ¨": 37015, "ĠJohns": 37016, "Ġeyelashes": 37017, "Ġdrained": 37018, "ĠstÃ¥r": 37019, "ãģĤãĤĬãģ¾ãģĻ": 37020, "ĠJade": 37021, "Ġcalend": 37022, "film": 37023, "Ġmesa": 37024, "Ġludzie": 37025, "Ġattracts": 37026, "Ġjuices": 37027, "Ġкил": 37028, "Ġnieuwe": 37029, "Ġmencion": 37030, "Ġignition": 37031, "Ġbladder": 37032, "andaag": 37033, "ĠExtension": 37034, "íĤ¨": 37035, "feed": 37036, "ĠÙĪÙĩ": 37037, "Ġspun": 37038, "Ġtät": 37039, "оÑĢоÑĤ": 37040, "tyard": 37041, "ronics": 37042, "ĠHuge": 37043, "Ñĥжд": 37044, "string": 37045, "Ġunjust": 37046, "Ġprawn": 37047, "Ġfrosting": 37048, "Ġdisappearance": 37049, "iosa": 37050, "Ġcardi": 37051, "ĠPriest": 37052, "ĠcientÃŃfic": 37053, "åĵªè£¡": 37054, "ĠÐĴаÑģ": 37055, "Ġë¶Ģíĥģ": 37056, "Ġthieves": 37057, "Ġphysique": 37058, "ĠEugene": 37059, "Ġблиз": 37060, "Ġmonopoly": 37061, "Ġbiography": 37062, "ĠhoÅŁ": 37063, "Ġtö": 37064, "mac": 37065, "Ġshocks": 37066, "ìĦ¸ë": 37067, "hit": 37068, "Ġsnug": 37069, "Ġincl": 37070, "Ġdedic": 37071, "Ġultras": 37072, "ĠизвеÑģÑĤ": 37073, "Ġutilization": 37074, "ĠÑģовеÑĢÑĪенно": 37075, "Ġservi": 37076, "stag": 37077, "180": 37078, "Ġsewer": 37079, "ĠChoice": 37080, "Ġdischarged": 37081, "ĠJD": 37082, "олеÑĤ": 37083, "ĠкваÑĢÑĤи": 37084, "Ġtelescop": 37085, "ĠJeÅĽli": 37086, "ĠNana": 37087, "cale": 37088, "ĠÑĤон": 37089, "mmm": 37090, "äºĨåIJ§": 37091, "Ġgehabt": 37092, "ëĤł": 37093, "æĬķ": 37094, "à¸Ļà¸Ļ": 37095, "Ġether": 37096, "Ġzen": 37097, "Ġresearched": 37098, "ĠCzyli": 37099, "å®Įåħ¨": 37100, "workers": 37101, "Ġ경찰": 37102, "Ġsheriff": 37103, "allo": 37104, "Ġtipos": 37105, "Ġprosecution": 37106, "Ġfrogs": 37107, "Ġfalt": 37108, "jd": 37109, "ĠíĮĶ": 37110, "Ġfiltered": 37111, "ĠOft": 37112, "Ġìį": 37113, "Ġdisfr": 37114, "ĠMustang": 37115, "Ġwoah": 37116, "ĠREALLY": 37117, "Ġмогли": 37118, "Ġentrada": 37119, "ĠигÑĢа": 37120, "Ġmixes": 37121, "ĠавÑĤомоб": 37122, "ÐĻ": 37123, "Ġshin": 37124, "Ġparanormal": 37125, "Ġsomeplace": 37126, "Ġdishon": 37127, "etaan": 37128, "Ġfuerte": 37129, "Ù¹": 37130, "Ġdoom": 37131, "ìĪľ": 37132, "Ġexistential": 37133, "Ġbuld": 37134, "ĠSDK": 37135, "ĠпÑĢавда": 37136, "Ġturnover": 37137, "ĠìĹ¬ê¸°ìĹIJ": 37138, "Ġह": 37139, "Ġmodeled": 37140, "Ġbugün": 37141, "Ġexperimentation": 37142, "Ġmornings": 37143, "Ġmedo": 37144, "Stevie": 37145, "Ġplayable": 37146, "Ġairlines": 37147, "gments": 37148, "Ġ기ë¶Ħ": 37149, "ĠTomb": 37150, "ĠMVP": 37151, "AUDIENCE": 37152, "Ġcheckout": 37153, "Ġpasst": 37154, "Ġbeispiel": 37155, "ĠLinks": 37156, "heavy": 37157, "Ġquestionable": 37158, "Ġìĵ°ë": 37159, "Ġsill": 37160, "Ġmanipulated": 37161, "ĠLoren": 37162, "Ġìľ¼": 37163, "Ġverge": 37164, "ák": 37165, "IES": 37166, "Ġsabot": 37167, "ĠCustomer": 37168, "ależy": 37169, "Ġnominee": 37170, "ĠGad": 37171, "Ġnouvelles": 37172, "ĠSPE": 37173, "istling": 37174, "Ġoval": 37175, "обÑĢаж": 37176, "ifty": 37177, "éĩİ": 37178, "Ġbezel": 37179, "yet": 37180, "Ġfreight": 37181, "ĠHanım": 37182, "rÃŃa": 37183, "Ġzoning": 37184, "Ġindem": 37185, "ĠBü": 37186, "Ġfeminism": 37187, "Ġvoix": 37188, "Ġoficial": 37189, "Ġdiyorum": 37190, "»IJ": 37191, "Ġarose": 37192, "Ġparar": 37193, "ìĿ¸ì§Ģ": 37194, "ĠMartine": 37195, "ĠLect": 37196, "Ġrester": 37197, "Ġdrowning": 37198, "uya": 37199, "cida": 37200, "ĠAriel": 37201, "Ġ02": 37202, "Ġ×Ķ×Ķ": 37203, "ç´ł": 37204, "ĠWert": 37205, "ТÑĭ": 37206, "Ġwidow": 37207, "Ġparchment": 37208, "Ġcottage": 37209, "ĠXL": 37210, "ĠSlack": 37211, "ĠNES": 37212, "Ġrobe": 37213, "Ġgimm": 37214, "Ġcaminho": 37215, "ĠHarper": 37216, "Ġcitrus": 37217, "Ġfirefighters": 37218, "Ġdopamine": 37219, "elets": 37220, "Ġdemocrat": 37221, "ìłľë¡ľ": 37222, "Ġplayback": 37223, "oj": 37224, "ĠпÑĢок": 37225, "ĠSullivan": 37226, "semble": 37227, "ĠWorth": 37228, "ĠMustafa": 37229, "าร": 37230, "Ġmets": 37231, "éĸĢ": 37232, "лоÑģÑĮ": 37233, "Ġinertia": 37234, "Ġuniforms": 37235, "足": 37236, "ério": 37237, "×ķר×Ķ": 37238, "ént": 37239, "Ġà®Ĵ": 37240, "ĠÑģамÑĭÑħ": 37241, "Ġvoulais": 37242, "ĠZimmer": 37243, "ê²łë": 37244, "ĠноÑģ": 37245, "encias": 37246, "Ġrelación": 37247, "Ġ걸ë": 37248, "Ġfaction": 37249, "Ġgosp": 37250, "полож": 37251, "nap": 37252, "hak": 37253, "Ġproceedings": 37254, "ĠìĨĶ": 37255, "ìķĦëĭĪ": 37256, "ĠìŀIJ기": 37257, "Ġwerd": 37258, "Ġsof": 37259, "Ġschlim": 37260, "Ġflavored": 37261, "Ġquadratic": 37262, "ĠBoot": 37263, "Ġpublicity": 37264, "ĠCaro": 37265, "Ġ?\"": 37266, "ниÑĨа": 37267, "mania": 37268, "ĠSUR": 37269, "ĠBUR": 37270, "lance": 37271, "ética": 37272, "Ġzobaczy": 37273, "Ġtrio": 37274, "sama": 37275, "ĠtaÅŁ": 37276, "Ġasymm": 37277, "resser": 37278, "Ġتع": 37279, "ĠпеÑģ": 37280, "Ġbeginnings": 37281, "ladım": 37282, "ĠбÑĭÑģÑĤÑĢ": 37283, "Ġmoo": 37284, "ĠGeneva": 37285, "Ġåľ¨": 37286, "erus": 37287, "borah": 37288, "Ġrefusing": 37289, "bull": 37290, "ĠWaiting": 37291, "ĠIndividual": 37292, "Ġanonym": 37293, "imens": 37294, "Ġmedidas": 37295, "Ġfragrant": 37296, "Ġdirectement": 37297, "ĠìķĦë§Ī": 37298, "uria": 37299, "Ġspherical": 37300, "Ġabge": 37301, "ĠVictorian": 37302, "Ġspectacle": 37303, "ĠRodriguez": 37304, "Ġocup": 37305, "ĠNär": 37306, "marks": 37307, "ngulo": 37308, "ĠLuci": 37309, "Ġshouted": 37310, "Ġregulators": 37311, "ÄŁini": 37312, "Ġdisent": 37313, "ĠÑĢÑĭн": 37314, "ëĤ¨": 37315, "ĠìĤ´ë": 37316, "Ġproblèmes": 37317, "ĠFinger": 37318, "assemble": 37319, "Ġpear": 37320, "Ġdroite": 37321, "ĠEverywhere": 37322, "tam": 37323, "оÑĤив": 37324, "вой": 37325, "ordinate": 37326, "ĠLak": 37327, "ĠmỼi": 37328, "ĠTelevision": 37329, "Ġexponentially": 37330, "avas": 37331, "Ġblev": 37332, "ĠMT": 37333, "俺": 37334, "Connell": 37335, "ĠêµŃ민": 37336, "ĠÑģвоим": 37337, "Ġacha": 37338, "ĠDynasty": 37339, "Jin": 37340, "Ġtore": 37341, "Ġflor": 37342, "Ġмногие": 37343, "æ²Ĵäºĭ": 37344, "owan": 37345, "bah": 37346, "Ġì£Ħ": 37347, "ĠCela": 37348, "Ġìµľê·¼": 37349, "Ġpermettre": 37350, "Ġabras": 37351, "Ġverstehen": 37352, "Ġescort": 37353, "ĠThem": 37354, "ärke": 37355, "porter": 37356, "Ġkahkaha": 37357, "Ġhect": 37358, "Ġdau": 37359, "wah": 37360, "olve": 37361, "ĠAges": 37362, "schaft": 37363, "ĠStell": 37364, "nelle": 37365, "ĠEnsuite": 37366, "ĠÐĴÑģем": 37367, "Ġcréd": 37368, "ĠPP": 37369, "lords": 37370, "grunting": 37371, "Ġcontraction": 37372, "Got": 37373, "Ġacquiring": 37374, "Ġsopr": 37375, "Ġpoisonous": 37376, "RNA": 37377, "Ġanar": 37378, "ĠHof": 37379, "')": 37380, "Ġremarkably": 37381, "Ġinternacional": 37382, "ücke": 37383, "inqu": 37384, "Ġduy": 37385, "Ġbeasts": 37386, "ĠLAN": 37387, "Ġprecedent": 37388, "ĠRPM": 37389, "åij¨": 37390, "Ġselon": 37391, "Ġmorte": 37392, "Ġcomeçou": 37393, "Ñıла": 37394, "Ġinterpreting": 37395, "ĠBurke": 37396, "ÑĤÑĢа": 37397, "ĠìĿ´ëŁ¬": 37398, "Ġpessim": 37399, "ĠNok": 37400, "íĮĿ": 37401, "Female": 37402, "Ġìĭ¤í": 37403, "ĻĢ": 37404, "Ġstimulation": 37405, "Ġslick": 37406, "Ġê°ĢëĬĶ": 37407, "Ġказ": 37408, "ĠHBO": 37409, "Ġpapier": 37410, "Ġkönnten": 37411, "Ñĥбли": 37412, "ĠConstant": 37413, "SPEAKING": 37414, "ĠktórÄħ": 37415, "Ġcosmetics": 37416, "ĠTrend": 37417, "Ġrobbery": 37418, "Ġtitt": 37419, "Ġgjort": 37420, "Ġdietary": 37421, "łĮ": 37422, "ĠKirby": 37423, "ĠпÑĢимеÑĢно": 37424, "Ġqualification": 37425, "Ġìķī": 37426, "Ġcabinets": 37427, "Ġhttp": 37428, "ĠErica": 37429, "義": 37430, "Ġdisadvantages": 37431, "Ġchattering": 37432, "yz": 37433, "feit": 37434, "Ġguild": 37435, "ĠETF": 37436, "ĠDragons": 37437, "ĠHERE": 37438, "venth": 37439, "ÙĦاÙħ": 37440, "Ġmarché": 37441, "Dam": 37442, "Ġphoton": 37443, "Ġestable": 37444, "Mag": 37445, "Ġolhar": 37446, "Ġcoupling": 37447, "ĠHilfe": 37448, "ĠWizard": 37449, "Ġмало": 37450, "help": 37451, "ĠlÃŃnea": 37452, "Ġì«": 37453, "Ġstandalone": 37454, "Ġmorale": 37455, "Ġzweite": 37456, "ãĤĪãĤįãģĹãģı": 37457, "ährt": 37458, "Ġdotted": 37459, "Ġdripping": 37460, "ĠFlag": 37461, "éĿĴ": 37462, "rocket": 37463, "rategy": 37464, "irim": 37465, "Ġíķĺë©´ìĦľ": 37466, "Ġsogenan": 37467, "ĠUno": 37468, "ĠSchutz": 37469, "Ġestilo": 37470, "ĠSubs": 37471, "ĠDaisy": 37472, "ÐĿеÑĤ": 37473, "'...": 37474, "Ġplatinum": 37475, "Ġbirl": 37476, "ĠSovi": 37477, "Ġviolate": 37478, "ÑĥеÑĤÑģÑı": 37479, "rill": 37480, "Ġtraz": 37481, "Ġsnip": 37482, "Ġcumpl": 37483, "à¸Ńà¸ģ": 37484, "Ġcuk": 37485, "éħĴ": 37486, "ĠParlament": 37487, "Ġhypert": 37488, "Ġpulp": 37489, "Ġtongues": 37490, "atto": 37491, "Ġbusca": 37492, "ihn": 37493, "ERO": 37494, "ĠÙĬع": 37495, "Ġvarias": 37496, "ĠMarian": 37497, "Ġbounded": 37498, "Ġpitching": 37499, "Ġdeficiency": 37500, "ĠBlessed": 37501, "ĠExerc": 37502, "uchs": 37503, "ĠnhÆ°ng": 37504, "æľ¬å½ĵ": 37505, "Ġraped": 37506, "hales": 37507, "Ġmala": 37508, "pic": 37509, "Ġ401": 37510, "ÅĽniej": 37511, "arina": 37512, "ëĵ¤ìĿĦ": 37513, "otti": 37514, "Ġдолго": 37515, "Ġtracker": 37516, "ĠShelby": 37517, "Ġvanished": 37518, "Ġbakery": 37519, "Kapı": 37520, "Jesus": 37521, "ĠKR": 37522, "JO": 37523, "ħ¸": 37524, "Ġdiscs": 37525, "ìĦ¯": 37526, "ì§Ģë": 37527, "×Ļצ": 37528, "emary": 37529, "Kendra": 37530, "Ġyük": 37531, "ückt": 37532, "Ġvaz": 37533, "Ġkup": 37534, "aktu": 37535, "ĠÑģпаÑģибо": 37536, "Ġaik": 37537, "Ġnursery": 37538, "Ġendangered": 37539, "êmement": 37540, "ematics": 37541, "Ġresponders": 37542, "ĠRepresentatives": 37543, "Ġsculptures": 37544, "igkeiten": 37545, "Ġdepl": 37546, "Ġinterpretations": 37547, "Ġdeadlines": 37548, "Ġ1942": 37549, "ÃĹ": 37550, "Ġsugars": 37551, "emu": 37552, "lively": 37553, "Ġrecreational": 37554, "Ġdistort": 37555, "Ġunderscore": 37556, "Ġunquote": 37557, "Ġsafest": 37558, "Ġswollen": 37559, "Ġanalyses": 37560, "Ġcommencé": 37561, "妹": 37562, "andin": 37563, "ĠХоÑĢоÑĪо": 37564, "Ġdiarr": 37565, "ãģ¾ãģģ": 37566, "ziest": 37567, "Ġtoothbrush": 37568, "éł»éģĵ": 37569, "uations": 37570, "Ġcade": 37571, "Ġbacklash": 37572, "hind": 37573, "Ġrisque": 37574, "zess": 37575, "ĠìĿ´ìķ¼ê¸°": 37576, "Ġesperar": 37577, "Ġtranslations": 37578, "ioned": 37579, "groans": 37580, "ĠпÑĥÑĤ": 37581, "Ġgenetically": 37582, "éĢł": 37583, "Ġhappiest": 37584, "Ġwerk": 37585, "atoon": 37586, "Ġmusi": 37587, "Ġfunção": 37588, "ĠìŀħëĭĪëĭ¤": 37589, "ĠÑĢай": 37590, "Ġbevor": 37591, "BLANK": 37592, "Ġrepentance": 37593, "Put": 37594, "Ġpotrzeb": 37595, "Ġsala": 37596, "Ġcampa": 37597, "WER": 37598, "ĠdecÃŃa": 37599, "Ġsécurité": 37600, "ĠAppreciate": 37601, "Ñĩи": 37602, "ĠRandom": 37603, "ë³Ħ": 37604, "kah": 37605, "Ġmöj": 37606, "Ġsäger": 37607, "Ġ×Ļ׼×ķ׾": 37608, "Ġ190": 37609, "xtures": 37610, "Eu": 37611, "Ġgä": 37612, "Ġ×ijת": 37613, "ĠCroat": 37614, "apo": 37615, "PLE": 37616, "Ġpersistence": 37617, "åĬ©": 37618, "Ġblends": 37619, "Ġtreffen": 37620, "ĠSantiago": 37621, "ydia": 37622, "aldo": 37623, "ĠTensorFlow": 37624, "ĠDual": 37625, "ãĥľ": 37626, "Ġchiff": 37627, "ìĹ´": 37628, "Ġcontracted": 37629, "Ġsegreg": 37630, "ĠFairy": 37631, "Ġwisely": 37632, "Ġvulnerabilities": 37633, "Ġhandheld": 37634, "Ġgadgets": 37635, "ĠboÅŁ": 37636, "ĠPopular": 37637, "Ġcurvature": 37638, "문": 37639, "ĠMARY": 37640, "ìĿ´ìĬ": 37641, "Ġformulation": 37642, "Ġcelery": 37643, "Ġblurry": 37644, "ĠTS": 37645, "alez": 37646, "Ġws": 37647, "Ġprogramm": 37648, "ĠStack": 37649, "ĠJIM": 37650, "овали": 37651, "ıll": 37652, "Ġpère": 37653, "ĠKanye": 37654, "ĠDelaware": 37655, "Ġãģł": 37656, "Ġdaunting": 37657, "ĠбеÑģ": 37658, "ĠStupid": 37659, "big": 37660, "fficial": 37661, "Ġprecipitation": 37662, "Ġplung": 37663, "ục": 37664, "burse": 37665, "Ġdarle": 37666, "Ġcripp": 37667, "Ġpioneer": 37668, "Ġdisput": 37669, "Ġsean": 37670, "ãģĵãĤĵãģª": 37671, "Ġresistor": 37672, "Ġallein": 37673, "ipples": 37674, "arel": 37675, "Ġendors": 37676, "zust": 37677, "ĠÑĢебÑıÑĤа": 37678, "eded": 37679, "Ġì¹´ë©Ķë": 37680, "Ġlleva": 37681, "Ġkennt": 37682, "Ġбал": 37683, "ĠDocument": 37684, "ĠKnights": 37685, "Ġbuckle": 37686, "Ġìī¬": 37687, "Ġalk": 37688, "ĠEveryday": 37689, "atters": 37690, "Ġtoilets": 37691, "Ġjugar": 37692, "ĠìŀĪì§Ģ": 37693, "Ġgenauso": 37694, "ĠLandesregierung": 37695, "ãģ£ãģ±": 37696, "ije": 37697, "Ġtrailers": 37698, "ĠTigers": 37699, "Ġgitti": 37700, "Ġforgiving": 37701, "Ġconcurrent": 37702, "ĠVu": 37703, "ĠíĬ¹íŀĪ": 37704, "ĠBROWN": 37705, "ounded": 37706, "\";": 37707, "Ġtremb": 37708, "Ġtiet": 37709, "ĠÑĢежим": 37710, "Ġnutshell": 37711, "елиÑĩ": 37712, "Ġlosers": 37713, "ricting": 37714, "Ġredeem": 37715, "defined": 37716, "Nice": 37717, "Ġbroadband": 37718, "KO": 37719, "Ġteasing": 37720, "Ġpartisan": 37721, "ıma": 37722, "Ġìŀ¬ë¯¸": 37723, "ĠJourney": 37724, "Ġslopes": 37725, "uning": 37726, "grunts": 37727, "Ġtäll": 37728, "Ġuncovered": 37729, "ĠmyÅĽlÄĻ": 37730, "ĠEsther": 37731, "äºİ": 37732, "ĠHealthy": 37733, "Ġë°ij": 37734, "rée": 37735, "Ġpolarization": 37736, "Ġflav": 37737, "Ġcambiar": 37738, "Ġyr": 37739, "ĠRanch": 37740, "Ġsplits": 37741, "Ġtrouvé": 37742, "åľĭ家": 37743, "Ġrecorder": 37744, "Ġdépart": 37745, "ÙĪب": 37746, "ĠKry": 37747, "Ġinteressant": 37748, "Ġederim": 37749, "ÅĽwiad": 37750, "ilateral": 37751, "wright": 37752, "Ġpourra": 37753, "êter": 37754, "Ġcamel": 37755, "áŀ": 37756, "Ġrapidement": 37757, "Ġmej": 37758, "Ġstiffness": 37759, "ADAS": 37760, "Ġdiffers": 37761, "Ġalot": 37762, "ĠSig": 37763, "ÑıÑĤелÑĮ": 37764, "Ġabstraction": 37765, "åľĺ": 37766, "Ġkeiner": 37767, "grupp": 37768, "ĠSherlock": 37769, "íĺĶ": 37770, "Ġcite": 37771, "Ġoverflow": 37772, "Ġtại": 37773, "úcar": 37774, "bula": 37775, "Ġconjunto": 37776, "ĠCI": 37777, "Ġmoderator": 37778, "Ġindirectly": 37779, "Ġalleine": 37780, "âĤ": 37781, "ÑĪиб": 37782, "Ġбаб": 37783, "Ġdanach": 37784, "Ġ1939": 37785, "Ġpromet": 37786, "Ġdestinations": 37787, "ĠIllust": 37788, "ικÏĮ": 37789, "Ġsabes": 37790, "Ġheh": 37791, "ĠGesetzent": 37792, "ĠMiz": 37793, "енко": 37794, "ĠMys": 37795, "Ь": 37796, "ĠJudaism": 37797, "Ġmustache": 37798, "Ġstimmt": 37799, "ĠGaza": 37800, "Ġvolte": 37801, "Ġnuo": 37802, "Ġmón": 37803, "ĠComput": 37804, "ูà¹Ī": 37805, "ĠRadi": 37806, "Ġexceptionally": 37807, "Ġassumes": 37808, "éĸĭå¿ĥ": 37809, "ãģĪãģ°": 37810, "inform": 37811, "Ġshrine": 37812, "æĵĬ": 37813, "Ġimplication": 37814, "ĠFitz": 37815, "æ²ĴéĹľä¿Ĥ": 37816, "!.": 37817, "Ġlt": 37818, "Ġalloy": 37819, "Ġethic": 37820, "Ġmonastery": 37821, "ìĭľì£ł": 37822, "icação": 37823, "Ġcoordinating": 37824, "ĠMoto": 37825, "Ġoverlook": 37826, "Ġchois": 37827, "Ġantibiotic": 37828, "ĠMinne": 37829, "ĠBJ": 37830, "ĠApa": 37831, "orian": 37832, "Ġspilled": 37833, "Jam": 37834, "Ġhusbands": 37835, "Ġcreations": 37836, "Ġañ": 37837, "üssel": 37838, "ĠìĿ´ìļ©": 37839, "Ġanalyse": 37840, "rose": 37841, "Ġpunched": 37842, "Ġpresque": 37843, "Ġastronomy": 37844, "Ġschwierig": 37845, "ĠEbola": 37846, "Ġcis": 37847, "Ġacet": 37848, "ĠFX": 37849, "endre": 37850, "ĠìĿĮìķħ": 37851, "Ġwebpage": 37852, "Ġfreaked": 37853, "Ġlatte": 37854, "Ġì¿ł": 37855, "Ġ머ë": 37856, "Never": 37857, "Gra": 37858, "íĻĶ를": 37859, "eyed": 37860, "Ġë°ľëĿ¼": 37861, "Ġespera": 37862, "Ġaparece": 37863, "ração": 37864, "Ġdisruptive": 37865, "ĠJoint": 37866, "urous": 37867, "reas": 37868, "ĠquerÃŃa": 37869, "Ġdistributions": 37870, "Ġexponent": 37871, "ì¹ĺ를": 37872, "Ġdl": 37873, "zhou": 37874, "ĠHearing": 37875, "å·®ä¸įå¤ļ": 37876, "ĠCraw": 37877, "Ġfloats": 37878, "ounced": 37879, "Lab": 37880, "World": 37881, "Ġburdens": 37882, "Ġauthoritarian": 37883, "ĠBolt": 37884, "ĠоднÑĥ": 37885, "Ġpigeon": 37886, "Ġdistractions": 37887, "ĠHerausforder": 37888, "Ġzest": 37889, "esc": 37890, "Ġshakes": 37891, "atas": 37892, "ĠÙħØ´": 37893, "holes": 37894, "Ġthinkers": 37895, "alta": 37896, "Ġarche": 37897, "ĠSuk": 37898, "anha": 37899, "Ġtempting": 37900, "Ġyoutuber": 37901, "Ġvì": 37902, "ĠdziaÅĤa": 37903, "ĠVatican": 37904, "Park": 37905, "Ġsupers": 37906, "ĠNikki": 37907, "ëĬIJë": 37908, "orang": 37909, "ramient": 37910, "鬼": 37911, "Ġê°ĸê³ł": 37912, "Ġdesserts": 37913, "Ġavere": 37914, "ĠGregory": 37915, "Ġëĵ¤ìĸ´ìĺ": 37916, "Ġcosting": 37917, "ĠClinic": 37918, "Ġrebels": 37919, "ĠMob": 37920, "Ġbunlar": 37921, "ĠYours": 37922, "ertime": 37923, "Ġretali": 37924, "mara": 37925, "atus": 37926, "alles": 37927, "ĠдÑĢ": 37928, "ĠдиÑģ": 37929, "Ġdiscounts": 37930, "ĠGUY": 37931, "Ġкакое": 37932, "ĠExperiment": 37933, "rement": 37934, "ĠXiang": 37935, "Ġbate": 37936, "WE": 37937, "Ġspecialize": 37938, "Ġdeity": 37939, "ĠLoki": 37940, "mag": 37941, "ĠNit": 37942, "West": 37943, "Ġmaternal": 37944, "Ġquis": 37945, "åŁºæľ¬": 37946, "broken": 37947, "Ġlasers": 37948, "Ġhakk": 37949, "ĠAngels": 37950, "Ġmastery": 37951, "antis": 37952, "Tiffany": 37953, "eee": 37954, "çij": 37955, "orem": 37956, "Ġinacc": 37957, "Ġjurisdictions": 37958, "ĠKardash": 37959, "æľº": 37960, "Il": 37961, "ĠSinn": 37962, "åĭķçĶ»": 37963, "Ġathletics": 37964, "cÄĻ": 37965, "Ġloosely": 37966, "Ġdieta": 37967, "Ag": 37968, "Ġ??": 37969, "ĠëĮĢíijľ": 37970, "Ġsuperv": 37971, "Ġnutrit": 37972, "Ġdrifting": 37973, "ĠìĦłìĥĿëĭĺ": 37974, "ĠпонÑıл": 37975, "ĠVictory": 37976, "ÙĦØ©": 37977, "×ķ׳×Ķ": 37978, "ĠпиÑĪ": 37979, "Ġshaved": 37980, "Ġmesure": 37981, "onden": 37982, "Ùĥر": 37983, "Ġexile": 37984, "ĠDesde": 37985, "ĠPinterest": 37986, "Ġattachments": 37987, "Ġhombres": 37988, "Ġfines": 37989, "ĠìĦ¸ìĥģ": 37990, "Ġsleeps": 37991, "ĠTaco": 37992, "ĠIRA": 37993, "rios": 37994, "Ġoll": 37995, "etes": 37996, "Ġunut": 37997, "fashioned": 37998, "Ġtreball": 37999, "ĠNearly": 38000, "ĠÑĢеалÑĮно": 38001, "Ġchil": 38002, "éĢ±": 38003, "ÄŁa": 38004, "ĠMEL": 38005, "roscop": 38006, "ĠCG": 38007, "Ġvenge": 38008, "Ġdishwasher": 38009, "algic": 38010, "Ġmodifier": 38011, "Ġembassy": 38012, "timer": 38013, "emics": 38014, "Ġintricate": 38015, "Ġevet": 38016, "ĠëĮĢë°ķ": 38017, "Ġisot": 38018, "ĠнаÑĥÑĩ": 38019, "ĠQuiz": 38020, "reso": 38021, "δÏİ": 38022, "Ġyelled": 38023, "Ġfeder": 38024, "ELLER": 38025, "Ġexceeded": 38026, "onas": 38027, "icano": 38028, "ĠживоÑĤ": 38029, "ĠMao": 38030, "ĠKazuto": 38031, "Ġãħĭãħĭãħĭãħĭ": 38032, "Ġfrontline": 38033, "ĠHungarian": 38034, "Ġüberall": 38035, "awat": 38036, "Ġgrips": 38037, "ições": 38038, "arnya": 38039, "ĠÍ¡": 38040, "Ġseid": 38041, "Ġanak": 38042, "Ġacabou": 38043, "íķij": 38044, "Ġnotorious": 38045, "ĠGodzilla": 38046, "Ġovercoming": 38047, "ĠPend": 38048, "Ġolabilir": 38049, "ülme": 38050, "Ġerhalten": 38051, "ãĤīãģĦ": 38052, "ê·¹": 38053, "ĠMeter": 38054, "Ġstaan": 38055, "Ol": 38056, "Ġchats": 38057, "ĠBuenos": 38058, "ÃŃve": 38059, "aluable": 38060, "Ġstrategically": 38061, "Ġcomprised": 38062, "ĠпеÑĢÑģонаж": 38063, "Ġwann": 38064, "ĠCen": 38065, "ниÑĤе": 38066, "Łģ": 38067, "ĠÑĤобой": 38068, "iad": 38069, "ĠkardeÅŁim": 38070, "ĠCongressman": 38071, "reaming": 38072, "homme": 38073, "Ġcommunaut": 38074, "Ġalcoholic": 38075, "Ġpickled": 38076, "Ġacord": 38077, "position": 38078, "egól": 38079, "Ġtroubling": 38080, "ĠMarcheg": 38081, "Ġzumindest": 38082, "Ġseamlessly": 38083, "Ġolun": 38084, "ĠTVs": 38085, "ĠпÑĢакÑĤиÑĩеÑģки": 38086, "Ġbackend": 38087, "ãģĵãĤĵãģ«ãģ¡ãģ¯": 38088, "idable": 38089, "Ġgadget": 38090, "Ġfaço": 38091, "ĠMarchegiani": 38092, "Ġë°¤": 38093, "Ġaccidental": 38094, "ĠLP": 38095, "Ġeldest": 38096, "ĠAdmiral": 38097, "ĠnÄĥm": 38098, "lever": 38099, "Ġpastel": 38100, "Ġfondo": 38101, "Connie": 38102, "Ġtercer": 38103, "Ġpact": 38104, "ĠMonte": 38105, "Ġmeats": 38106, "ĠSMS": 38107, "ĠAustralians": 38108, "ç¼": 38109, "Rhett": 38110, "Ġexactement": 38111, "Ġë¹¼": 38112, "ĠMOD": 38113, "ç¡": 38114, "ĠRapt": 38115, "ĠNoch": 38116, "Ġabort": 38117, "ĠNaval": 38118, "ĠFuji": 38119, "INTER": 38120, "ĠновÑĭй": 38121, "Ġmiejsce": 38122, "ĠICU": 38123, "ĠGraduate": 38124, "ĠGlen": 38125, "ardi": 38126, "ĠÈĺ": 38127, "Ġsolder": 38128, "Ġprofessions": 38129, "Ġorthog": 38130, "omn": 38131, "introdu": 38132, "ĠDenise": 38133, "ìŀIJ를": 38134, "Ġcorrespondence": 38135, "AMA": 38136, "Ġinflict": 38137, "Ġfand": 38138, "ĠGü": 38139, "ĠÑĩеÑĤ": 38140, "Ġtraced": 38141, "Ġpatents": 38142, "Ġambush": 38143, "Ġlotta": 38144, "ffer": 38145, "ĠWagner": 38146, "Ġimperson": 38147, "Ġextrêmement": 38148, "ÙĤت": 38149, "conduct": 38150, "Att": 38151, "ĠMueller": 38152, "ĠAlicia": 38153, "Ġcyc": 38154, "Ġhacker": 38155, "Ġtys": 38156, "Ġhail": 38157, "ĠзаÑıв": 38158, "Ġpasso": 38159, "Ġì¶Ķê°Ģ": 38160, "ĠÎĪ": 38161, "Ġpackaged": 38162, "ĠCynthia": 38163, "heet": 38164, "ä¸ŃåĽ½": 38165, "ĠNissan": 38166, "ĠQuesto": 38167, "é¨": 38168, "did": 38169, "Ġμια": 38170, "ĠEllis": 38171, "ĠAnalysis": 38172, "cemos": 38173, "Ġaseg": 38174, "ĠMyster": 38175, "ĠCao": 38176, "Ġtuv": 38177, "ĠIndustry": 38178, "ì£¼ê³ł": 38179, "otal": 38180, "Ġpequeño": 38181, "bras": 38182, "Ġcomprehend": 38183, "ĠSimpson": 38184, "ÑģÑĤвие": 38185, "ocracy": 38186, "иÑĩеÑģки": 38187, "ĠMush": 38188, "ĠLaurie": 38189, "Ġtriangular": 38190, "ĠPresents": 38191, "ĠKunden": 38192, "ç´¹": 38193, "æѦ": 38194, "ĠIss": 38195, "ĠDeck": 38196, "á»ĥn": 38197, "ĠDarkness": 38198, "Ġinflammatory": 38199, "eremiah": 38200, "Ġwarmed": 38201, "veyard": 38202, "ĠMemory": 38203, "etty": 38204, "Ġtaxpayers": 38205, "à¸ĵ": 38206, "Ø¡": 38207, "Ġpractise": 38208, "ëĭ¬ë": 38209, "Ġdrilled": 38210, "mÃ¼ÅŁ": 38211, "logo": 38212, "ĠFach": 38213, "¤ë¡ľ": 38214, "Ġübrigens": 38215, "Ġkonnten": 38216, "Ġnormalmente": 38217, "Ġargues": 38218, "ilingual": 38219, "°ë¥¼": 38220, "egal": 38221, "Ġtravaill": 38222, "ovy": 38223, "аÑĤо": 38224, "Ġruth": 38225, "ĠLights": 38226, "Ġconsisted": 38227, "×ijר×Ļ×Ŀ": 38228, "Ġstereotype": 38229, "Ġpayer": 38230, "ĠRee": 38231, "ĠAirbnb": 38232, "Ġdrowned": 38233, "ĠZoe": 38234, "Ġcanopy": 38235, "Ġbarr": 38236, "ĠноÑĩ": 38237, "Ġpagan": 38238, "Ġjars": 38239, "Ġrê": 38240, "erver": 38241, "æĪ¿": 38242, "ieben": 38243, "Ġespect": 38244, "ĠFi": 38245, "Ġunwilling": 38246, "Ġtechnician": 38247, "ặt": 38248, "member": 38249, "ĠCanal": 38250, "سÙħ": 38251, "Ġlieber": 38252, "Ġinference": 38253, "Ġhonoring": 38254, "åijµ": 38255, "ĠCampaign": 38256, "Ġlineage": 38257, "ĠStress": 38258, "Ġvictories": 38259, "Ġdeja": 38260, "×£": 38261, "êtes": 38262, "blick": 38263, "Ġменее": 38264, "oths": 38265, "ĠCouple": 38266, "Jason": 38267, "ĠNicolas": 38268, "екÑģ": 38269, "lib": 38270, "Ġherramient": 38271, "Ġ×IJ×ķ×ŀר": 38272, "Ġвидим": 38273, "millimeter": 38274, "Ġsilhouette": 38275, "Ġdriveway": 38276, "Ġcherish": 38277, "ãħłãħł": 38278, "Ġransom": 38279, "Ġinterdisciplinary": 38280, "ĠPortal": 38281, "Ġtrag": 38282, "thood": 38283, "Ġtedious": 38284, "Ġglossy": 38285, "Ġprépar": 38286, "ĠCay": 38287, "ĠTook": 38288, "ĠBottom": 38289, "Ġzig": 38290, "å«": 38291, "åį±": 38292, "represented": 38293, "à¹Ģลย": 38294, "Ġdesarrollo": 38295, "ìĦľë": 38296, "Ġviscos": 38297, "Ġmilligram": 38298, "ĠGund": 38299, "Ġferment": 38300, "drum": 38301, "Ġdrawers": 38302, "Laugh": 38303, "Ġpelos": 38304, "Ġpavement": 38305, "Ġmemoir": 38306, "avait": 38307, "Ġ2050": 38308, "¤ë¥¼": 38309, "Ġrazón": 38310, "Ġflourish": 38311, "Ġstern": 38312, "ä¸Ī": 38313, "ĠChung": 38314, "Ġserpent": 38315, "ĠGentlemen": 38316, "羣çļĦå¾Ī": 38317, "kook": 38318, "Ġlut": 38319, "importe": 38320, "parent": 38321, "Ġwsz": 38322, "Ġscree": 38323, "ĠMitarbeiter": 38324, "å·´": 38325, "mut": 38326, "Ġìĸĺ기를": 38327, "Ġsemble": 38328, "ĠOW": 38329, "Ġinvestigator": 38330, "ĠCheryl": 38331, "ĠGerald": 38332, "Ġprere": 38333, "Ġcompares": 38334, "nyt": 38335, "Ġdiferença": 38336, "?-": 38337, "Ġquá": 38338, "ר×Ļ": 38339, "Sen": 38340, "Ġheps": 38341, "Ġgratuit": 38342, "Ġconsort": 38343, "ĠSTOP": 38344, "ĠProtestant": 38345, "Ġelectrode": 38346, "âĹ": 38347, "Ġsecurely": 38348, "иÑĩеÑģкой": 38349, "Ġtää": 38350, "Ġregisters": 38351, "ĠHeavenly": 38352, "ogly": 38353, "issä": 38354, "ĠPhysics": 38355, "ĠMerkel": 38356, "Ġrév": 38357, "éĻ¢": 38358, "Ġerased": 38359, "ĠSacramento": 38360, "Ġcoffin": 38361, "Ġexacer": 38362, "Ġlanz": 38363, "Ġpoets": 38364, "ulif": 38365, "Ġì¹ĺë": 38366, "ĠNerd": 38367, "ĠNCT": 38368, "ĠHour": 38369, "nehmer": 38370, "ŀĺëıĦ": 38371, "ĠPrinci": 38372, "Sw": 38373, "mies": 38374, "armed": 38375, "ĠBeatles": 38376, "Ġpropagation": 38377, "Ġexchanged": 38378, "Ġcumulative": 38379, "Ġì§ijìĹIJ": 38380, "Ġdefeating": 38381, "æĬ±": 38382, "bels": 38383, "Ġwes": 38384, "ĠOdyssey": 38385, "ä½łæĥ³": 38386, "avior": 38387, "ĠìľĦìĹIJ": 38388, "Ġbrit": 38389, "Ġhijo": 38390, "DAY": 38391, "ĠاÙĦتÙĬ": 38392, "ĠСеÑĢг": 38393, "Ñĥка": 38394, "edsiÄĻ": 38395, "Ġimpos": 38396, "Ġellas": 38397, "Ġfirearms": 38398, "ĠNR": 38399, "Ġ×ij×IJ": 38400, "ĠÐŁÐ¾ÐºÐ°": 38401, "awi": 38402, "ĠìĦ±ê³µ": 38403, "Ġpupils": 38404, "ĠTack": 38405, "Ġfrase": 38406, "ĠShip": 38407, "Ġstad": 38408, "举": 38409, "ĠGreater": 38410, "unun": 38411, "immung": 38412, "grown": 38413, "ĠNXT": 38414, "ĠAmericas": 38415, "fox": 38416, "Ġmanten": 38417, "éłIJåĤĻ": 38418, "ĠÑģок": 38419, "Ġrikt": 38420, "lectric": 38421, "deep": 38422, "ĠзнаеÑĪÑĮ": 38423, "Ġbenut": 38424, "ĠInfrast": 38425, "ĠEmir": 38426, "ĠоÑĤпÑĢав": 38427, "ĠKimchi": 38428, "ĠFinnish": 38429, "´ìłģ": 38430, "inaire": 38431, "Ġoike": 38432, "æ¸ħæ¥ļ": 38433, "Ġhostage": 38434, "ĠButton": 38435, "ÙĤÙĬ": 38436, "eking": 38437, "ĠKazakh": 38438, "Ġcomforting": 38439, "Ġsog": 38440, "Ġgreeted": 38441, "guitar": 38442, "payer": 38443, "Ġrelational": 38444, "Ġconstruir": 38445, "çī¹åĪ¥": 38446, "opian": 38447, "ĠVolume": 38448, "ieth": 38449, "ÑģÑĤвом": 38450, "urrection": 38451, "liÅĽmy": 38452, "Ġhemisphere": 38453, "ĠBean": 38454, "IGN": 38455, "Ġkötü": 38456, "ĠFallout": 38457, "Ġbrace": 38458, "ç¹¼çºĮ": 38459, "ÏĢά": 38460, "ĠHAS": 38461, "Ġgé": 38462, "Ġcharacterize": 38463, "ặc": 38464, "ĠMilky": 38465, "Ġtumors": 38466, "Ġnuit": 38467, "ĠGaz": 38468, "ĠìŀĪëĭ¤ëĬĶ": 38469, "ĠгаÑĢ": 38470, "essment": 38471, "ĠAbe": 38472, "Ġë½ij": 38473, "ĠEinsatz": 38474, "JIN": 38475, "jä": 38476, "Cry": 38477, "ĠPromised": 38478, "ĠÑģеÑĢд": 38479, "okus": 38480, "Ġscalable": 38481, "ĠпоÑģмоÑĤÑĢеÑĤÑĮ": 38482, "ücklich": 38483, "Ġrealism": 38484, "Ġmayo": 38485, "Ġjuvenile": 38486, "Ġheadlights": 38487, "ĠgörÃ¼ÅŁ": 38488, "ĠReform": 38489, "Ġhalves": 38490, "czne": 38491, "Ġbreakup": 38492, "żej": 38493, "Ġrätt": 38494, "Day": 38495, "ĠìĿ¼ë³¸": 38496, "Ġmuerte": 38497, "Ġtunes": 38498, "ĠSmile": 38499, "record": 38500, "Ġrecherche": 38501, "atisfied": 38502, "Ġpozi": 38503, "Ġcelebrations": 38504, "isexual": 38505, "ĠROB": 38506, "thirds": 38507, "ĠFortune": 38508, "ĠÑĤой": 38509, "Ġbranded": 38510, "loo": 38511, "Ġdud": 38512, "Ġrandomized": 38513, "Ġcombin": 38514, "ä¸ĢäºĽ": 38515, "ieran": 38516, "czenia": 38517, "įãĥ«": 38518, "Ġcurator": 38519, "Ġartery": 38520, "ĠÑĥÑĪ": 38521, "ĠÑĩиÑĤ": 38522, "Ġsubsidies": 38523, "Ġblossom": 38524, "ĠTwilight": 38525, "Ġhyvä": 38526, "ĠPompe": 38527, "ĠCisco": 38528, "ĠÐŁÑĢо": 38529, "Ġbiri": 38530, "Ġgern": 38531, "Ġrebuilt": 38532, "Ġwcze": 38533, "Ġbenefici": 38534, "Ġdrummer": 38535, "Ġsolids": 38536, "Ġdiyorsun": 38537, "ãģĤãĤĬãģĮãģ¨ãģĨãģĶãģĸãģĦãģ¾ãģĹãģŁ": 38538, "lated": 38539, "Ġmuddy": 38540, "Ġholog": 38541, "Ġclaps": 38542, "ĠRings": 38543, "ĠOkey": 38544, "ĠBrave": 38545, "Ġvaluation": 38546, "Ġmigrant": 38547, "Ġintermitt": 38548, "Ġeigene": 38549, "iliary": 38550, "ãĥ¼ãĥĪ": 38551, "markt": 38552, "kr": 38553, "ĠRib": 38554, "á»Ļi": 38555, "Ġaccusations": 38556, "Ġarab": 38557, "wash": 38558, "ĠBardzo": 38559, "Ġugh": 38560, "esters": 38561, "ophren": 38562, "Ġalimentos": 38563, "ĠUz": 38564, "ÖĤ": 38565, "Ġ650": 38566, "ĠпÑĢиеÑħ": 38567, "FI": 38568, "Ġsampai": 38569, "Ġparlé": 38570, "hesion": 38571, "Ġsır": 38572, "Ġapparatus": 38573, "Ġcorrelated": 38574, "ĠPrincipal": 38575, "Ġcorr": 38576, "ĠOfficial": 38577, "иÑĩеÑģкие": 38578, "Ġterminals": 38579, "Should": 38580, "Ġvacun": 38581, "Ġstellt": 38582, "Ġmooi": 38583, "etzung": 38584, "ĠкÑĢа": 38585, "Ġdai": 38586, "Ġпож": 38587, "Team": 38588, "ĠPPE": 38589, "ĠÐŀÑģ": 38590, "ĠLeah": 38591, "ĠIvy": 38592, "yst": 38593, "Ġuhhh": 38594, "Ġnighttime": 38595, "Ġtrendy": 38596, "Ġsecurities": 38597, "Ġcontinents": 38598, "Ġfirsthand": 38599, "ĠVeron": 38600, "ĠëĤ®": 38601, "Ġbrowsing": 38602, "ĠCada": 38603, "tro": 38604, "Ġtramp": 38605, "reib": 38606, "Ġerstmal": 38607, "irler": 38608, "Ġpsic": 38609, "Ġgetir": 38610, "ĠNP": 38611, "Ġdzieci": 38612, "обÑĢаз": 38613, "Ġmagician": 38614, "Ġscrutiny": 38615, "Ġslab": 38616, "ĠOT": 38617, "isty": 38618, "iries": 38619, "orest": 38620, "Ġtasked": 38621, "Ġmorally": 38622, "ìķ¼ì§Ģ": 38623, "ustered": 38624, "Ġfools": 38625, "Ġirrespons": 38626, "Ġeinf": 38627, "Ġviá»ĩc": 38628, "Ġscor": 38629, "Ġpillows": 38630, "ĠGegen": 38631, "Ġtutte": 38632, "Ġquarterly": 38633, "Ġdidnt": 38634, "ĠGym": 38635, "ĠEther": 38636, "ĠØ«": 38637, "лиÑĪком": 38638, "Ġsignaling": 38639, "ĠNode": 38640, "ĠDoncs": 38641, "Ġyah": 38642, "ĠKanal": 38643, "Ġfading": 38644, "etin": 38645, "Ġinfluencers": 38646, "Ġmedals": 38647, "Ġengineered": 38648, "Ġfermented": 38649, "ê²łì§Ģë§Į": 38650, "ĠBeethoven": 38651, "×ŀש": 38652, "inental": 38653, "ĠìķĮ볤": 38654, "ütfen": 38655, "alnya": 38656, "Ġovere": 38657, "Ġdenkt": 38658, "акÑĤеÑĢ": 38659, "Ġâĺ": 38660, "Ġnecesit": 38661, "Ġgenerators": 38662, "grass": 38663, "ĠподÑĥм": 38664, "lieÃŁen": 38665, "Bar": 38666, "ľëıĻ": 38667, "ĠдеÑĤей": 38668, "Ġsucking": 38669, "Ġstencil": 38670, "Ġprimo": 38671, "ĠBreath": 38672, "strom": 38673, "Ġimmensely": 38674, "Ġappreh": 38675, "ìłķìĿ´": 38676, "Pop": 38677, "Ġjong": 38678, "ĠGiul": 38679, "ĠADHD": 38680, "Ġhören": 38681, "Ġelo": 38682, "ivent": 38683, "Ġrus": 38684, "Ġoutrageous": 38685, "Ġmastered": 38686, "Ġ커": 38687, "ÙĪÙģ": 38688, "ipes": 38689, "ĠRudy": 38690, "Jacob": 38691, "Ġbullish": 38692, "Ġtapped": 38693, "Ġfaud": 38694, "izophren": 38695, "ĠÑģоÑħ": 38696, "ĠDarling": 38697, "Ġ1963": 38698, "ĠPrevention": 38699, "²Ķ": 38700, "Ġabdominal": 38701, "stones": 38702, "Ġavaient": 38703, "á»ķi": 38704, "make": 38705, "Ġsare": 38706, "ĠInstant": 38707, "кам": 38708, "Ġkeeper": 38709, "Ġblankets": 38710, "ãģ§ãģĹãĤĩãģĨ": 38711, "Ġsweats": 38712, "ĠMinneapolis": 38713, "åħ¨éĥ¨": 38714, "Ġgenommen": 38715, "Ġfasten": 38716, "ĠBrussels": 38717, "åij¼": 38718, "Ġcafeter": 38719, "Ġabsorbing": 38720, "Ġhago": 38721, "ĠElmo": 38722, "Ġgusto": 38723, "ĠYap": 38724, "Música": 38725, "Ġtert": 38726, "Ġbanda": 38727, "Ġmily": 38728, "Ġthereafter": 38729, "ĠStockholm": 38730, "ĠCarson": 38731, "Ġcalibration": 38732, "avaÅŁ": 38733, "ansa": 38734, "ikke": 38735, "Ġforesee": 38736, "Ġqualche": 38737, "Ġdeste": 38738, "æ¤": 38739, "ünüz": 38740, "Ġforge": 38741, "Dis": 38742, "esten": 38743, "Ġδια": 38744, "Ġencaps": 38745, "ĠGespr": 38746, "Ġchercher": 38747, "ickets": 38748, "ÑĤоÑĢÑĭ": 38749, "Cr": 38750, "ĠТакже": 38751, "Ġrabbits": 38752, "ĠDot": 38753, "heiten": 38754, "Ġcausal": 38755, "ĠFoster": 38756, "ajÄħc": 38757, "Ġbereit": 38758, "Ġayudar": 38759, "é«Ļ": 38760, "ãģ³": 38761, "song": 38762, "comb": 38763, "Ġfringe": 38764, "Ġcybersecurity": 38765, "Ġ뾨": 38766, "Ġkier": 38767, "Ġbeschäft": 38768, "ĠконÑĨе": 38769, "Ġfacilit": 38770, "ĠNamen": 38771, "Ġbilateral": 38772, "tx": 38773, "ĠWissenschaft": 38774, "Ġnuances": 38775, "Ġripping": 38776, "Ġfy": 38777, "ĠSicherheit": 38778, "ĠGhana": 38779, "olon": 38780, "Ġtopped": 38781, "ĠMorocco": 38782, "Ġradial": 38783, "ĠLEE": 38784, "ĠAndreas": 38785, "edd": 38786, "ĠìĹ´ë": 38787, "ĠAirlines": 38788, "ãģĵãĤį": 38789, "Ġvalores": 38790, "ê·ľ": 38791, "Hy": 38792, "ĠзадаÑĩ": 38793, "ĠKendall": 38794, "ĠÑħаÑĢ": 38795, "ĠVamp": 38796, "Ġpython": 38797, "Ġmanageable": 38798, "ĠGente": 38799, "oise": 38800, "iciary": 38801, "Ġimposs": 38802, "ĠBunny": 38803, "iesta": 38804, "Andrew": 38805, "Ġsert": 38806, "ĠCec": 38807, "zzarella": 38808, "Ġautomobile": 38809, "ĠTiere": 38810, "allows": 38811, "åĨĨ": 38812, "Ġë°Ģ": 38813, "ĠScorp": 38814, "ĠJelly": 38815, "agara": 38816, "ĠStretch": 38817, "Ġredef": 38818, "Ġexacerb": 38819, "ĠSHA": 38820, "éf": 38821, "orsa": 38822, "Ġflawed": 38823, "ĠNoel": 38824, "?!?": 38825, "Ġprocent": 38826, "Ġmenstru": 38827, "ĠпÑĢоÑĩ": 38828, "Ġinfants": 38829, "ðŁİµ": 38830, "pause": 38831, "ĠRacing": 38832, "Ġ1948": 38833, "Ġsuperintendent": 38834, "idores": 38835, "idy": 38836, "brahim": 38837, "Ġunlucky": 38838, "Ġperk": 38839, "anci": 38840, "Ġë§ĮëĤĺ": 38841, "ĠÐľÐ¾Ñģкв": 38842, "Ġfinans": 38843, "Ġdiferencia": 38844, "łĪìĿ´": 38845, "éħį": 38846, "ORY": 38847, "ĠTac": 38848, "ÛĮا": 38849, "Ġdesem": 38850, "Ġважно": 38851, "ĠJU": 38852, "ĠìŀĪìŀĸìķĦìļĶ": 38853, "ĠÎĿ": 38854, "Ġinformations": 38855, "ĠHEL": 38856, "hst": 38857, "ĠпоговоÑĢ": 38858, "Ġvoiture": 38859, "Ġreus": 38860, "ändig": 38861, "ĠпоÑħож": 38862, "jing": 38863, "Ġdru": 38864, "altra": 38865, "Ġproduits": 38866, "Ġkite": 38867, "Ġeyeball": 38868, "ĠBelt": 38869, "ĠRestaurant": 38870, "Ġgamb": 38871, "Ġporridge": 38872, "itters": 38873, "Ġconverts": 38874, "Ġyardım": 38875, "Ġmáximo": 38876, "wirtschaft": 38877, "ĠíķĺëĤĺë": 38878, "Ġì¤Ģ": 38879, "Ġiceberg": 38880, "Ġvorbei": 38881, "Ġ256": 38882, "ocratic": 38883, "Ġreckless": 38884, "onner": 38885, "Ġmús": 38886, "Ġlogically": 38887, "ĠPrison": 38888, "ĠNetz": 38889, "Ġvacant": 38890, "Ġnimmt": 38891, "ĠHARR": 38892, "Ġзов": 38893, "ĠDee": 38894, "ringe": 38895, "niest": 38896, "ĠRules": 38897, "ìĬ¤ëŁ½": 38898, "cussions": 38899, "Ġfloral": 38900, "Ġconstrained": 38901, "Ġdifferentiation": 38902, "ĠQuebec": 38903, "ĠÛģÛĮÚº": 38904, "Ġpública": 38905, "itel": 38906, "Ġaccommodations": 38907, "ĠGrü": 38908, "íľ": 38909, "Ġpickles": 38910, "иÑĩеÑģкиÑħ": 38911, "Ġcommissions": 38912, "ĠBaek": 38913, "ĠçocuÄŁ": 38914, "ĠMedium": 38915, "Ġperiodically": 38916, "Ġwonderfully": 38917, "Ġstaffing": 38918, "ìĽIJë": 38919, "rire": 38920, "fle": 38921, "ĠMcL": 38922, "ĠÑĤеп": 38923, "ĠпеÑĢек": 38924, "нолог": 38925, "Ġíģ¬ê²Į": 38926, "çĻ¼çı¾": 38927, "Ġprosperous": 38928, "ĠSpiritual": 38929, "ĠChick": 38930, "DIA": 38931, "ĠÐŁÑĢивеÑĤ": 38932, "ĠperÃŃ": 38933, "ÑĮÑİÑĤ": 38934, "Ġconsultants": 38935, "ĠEarl": 38936, "ä»Ĭå¹´": 38937, "Ġruining": 38938, "оÑĢе": 38939, "Ġpenser": 38940, "Ġtakiej": 38941, "Ġstrengthened": 38942, "ĠLiquid": 38943, "онеÑĨ": 38944, "аваÑĤÑĮ": 38945, "Ġcamer": 38946, "Ġdisagreement": 38947, "Ġbathing": 38948, "ĠYosh": 38949, "aal": 38950, "prechen": 38951, "RISADAS": 38952, "Ġsuperstar": 38953, "æģŃ": 38954, "лÑıÑĤÑĮ": 38955, "Ġnib": 38956, "ĠTherm": 38957, "ĠDANIEL": 38958, "Ġpaw": 38959, "Ġliquids": 38960, "Ġcapacit": 38961, "arken": 38962, "Ġvagina": 38963, "Ġmashed": 38964, "Ġemerges": 38965, "yscy": 38966, "Ġunrelated": 38967, "ĠGuild": 38968, "Ġinverted": 38969, "itives": 38970, "Tra": 38971, "Ġbegr": 38972, "Ġalte": 38973, "ì§ķ": 38974, "ãĤģãģ¦": 38975, "ĠÑĢазÑĢабоÑĤ": 38976, "finder": 38977, "Ġдалее": 38978, "ĠблагодаÑĢ": 38979, "walker": 38980, "Ġcrater": 38981, "assadors": 38982, "rences": 38983, "inski": 38984, "ĠKIM": 38985, "ĠElliot": 38986, "2017": 38987, "ĠSr": 38988, "inka": 38989, "anov": 38990, "Ġìŀĺ못": 38991, "Ġproprietary": 38992, "displaystyle": 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39050, "akat": 39051, "Ġtrench": 39052, "Ġproceeded": 39053, "ĠCoin": 39054, "Ġderecho": 39055, "ĠRede": 39056, "æ¯Ľ": 39057, "аннÑĭй": 39058, "Ġincarcerated": 39059, "ĠRichmond": 39060, "Rock": 39061, "ĠPav": 39062, "ĠKarma": 39063, "uges": 39064, "Ġconteú": 39065, "ë¹Ħ": 39066, "Ġê·¸ë§Į": 39067, "ĠGone": 39068, "ĠwspóÅĤ": 39069, "ĠRahmen": 39070, "unken": 39071, "Ġì¤ijìļĶíķľ": 39072, "Ġib": 39073, "Ġattaching": 39074, "Hay": 39075, "Ġsuka": 39076, "ìį¹": 39077, "Ġpivotal": 39078, "ĠRespect": 39079, "ÃŃda": 39080, "IB": 39081, "ĠVerantwort": 39082, "wiet": 39083, "Ġforensic": 39084, "ÑĢиÑģÑĤ": 39085, "ĠпÑĢинÑĨипе": 39086, "Ġmarkings": 39087, "Ġkettle": 39088, "ĠOpera": 39089, "ĠDoctors": 39090, "Ġshredded": 39091, "Ġrecuer": 39092, "Ġvigil": 39093, "ĠFail": 39094, "Ġentrev": 39095, "ĠдÑĥÑĪ": 39096, "Ġoutbreaks": 39097, "èµ°åIJ§": 39098, "ĠÏĢο": 39099, "Ġrogue": 39100, "angled": 39101, "Ġyearly": 39102, "ĠCreed": 39103, "Ġwam": 39104, "Ġlotus": 39105, "ê³¼ë": 39106, "ãĢģãĢģ": 39107, 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39225, "Ġacompa": 39226, "Ġidé": 39227, "Ġboiler": 39228, "ĠThemen": 39229, "Ġavenue": 39230, "ĠMud": 39231, "ĠновÑĭе": 39232, "Ġwitnessing": 39233, "Ġlance": 39234, "ĠCHAN": 39235, "ĠBever": 39236, "تÙħ": 39237, "Ġchemotherapy": 39238, "King": 39239, "ĠbÄĻdÄĻ": 39240, "Ġatual": 39241, "Ġtive": 39242, "Ġtalkin": 39243, "Ġquedar": 39244, "ieÃŁ": 39245, "edel": 39246, "Ġìĸ´ìłľ": 39247, "Ġjogar": 39248, "Ġör": 39249, "Ġundertaking": 39250, "ĠStrength": 39251, "Ġmilhões": 39252, "ĠWine": 39253, "ĠMolt": 39254, "讲": 39255, "ãģijãĤĮ": 39256, "Ġundermine": 39257, "ĠArchives": 39258, "vana": 39259, "mercial": 39260, "MC": 39261, "Ġcaste": 39262, "пÑĢ": 39263, "Ġlegislators": 39264, "ulators": 39265, "ênio": 39266, "Ġëį°ë": 39267, "ĠÑħоÑĤиÑĤе": 39268, "Ġнек": 39269, "Ġsurn": 39270, "Ġconsci": 39271, "ĠPOW": 39272, "Ġculinary": 39273, "ĠKAT": 39274, "ĠFolks": 39275, "Ñĭваем": 39276, "Ġвок": 39277, "ãģijãĤĭ": 39278, "service": 39279, "pts": 39280, "Ġпобед": 39281, "æĺ¯åķĬ": 39282, "Ġtents": 39283, "Ġnord": 39284, "STE": 39285, "Ġrepublican": 39286, "Ġwyk": 39287, "Ġminions": 39288, "èĻķ": 39289, "Ġmemang": 39290, "jest": 39291, "Ġcomparative": 39292, "Ġtyle": 39293, "carbon": 39294, "bedingt": 39295, "ksen": 39296, "Ġnegativity": 39297, "Ġsjälv": 39298, "Ġdú": 39299, "æīĢæľī": 39300, "Ġrecalled": 39301, "cra": 39302, "ĠTada": 39303, "ĠÑĢÑĥки": 39304, "ĠопÑĢедел": 39305, "Ġprocrast": 39306, "Ġjogos": 39307, "ĠOo": 39308, "ĠHearts": 39309, "Ġéch": 39310, "ĠksiÄħż": 39311, "Ġcoarse": 39312, "ĠTube": 39313, "ĠGreens": 39314, "Ġén": 39315, "Ġdumbbell": 39316, "ĠÑĤи": 39317, "Ġquerer": 39318, "اØŃ": 39319, "Ïĥει": 39320, "ĠпÑĢавилÑĮно": 39321, "Ġпап": 39322, "Ġcompra": 39323, "Ġtér": 39324, "ĠAntes": 39325, "Ġoptimum": 39326, "Ġbiscuit": 39327, "κι": 39328, "aczego": 39329, "Ġìĭľê°ĦìĿ´": 39330, "ĠMarines": 39331, "vero": 39332, "Ġvaccinations": 39333, "Ġpetty": 39334, "riters": 39335, "Ġал": 39336, "country": 39337, "Ġcounters": 39338, "Ġattendant": 39339, "ĠHui": 39340, "ãģ¨ãģĦãģĨãģĵãģ¨ãģ§": 39341, "cka": 39342, "ÑģÑĤвеннÑĭй": 39343, "guy": 39344, "Ġtricked": 39345, "ĠRED": 39346, "Ġthrilling": 39347, "ÏĢοι": 39348, "Ġpiggy": 39349, "Ġanunci": 39350, "ORTER": 39351, "ĠValue": 39352, "Ġrond": 39353, "ĠADA": 39354, "Ġposer": 39355, "hores": 39356, "ĠRoland": 39357, "ĵ¯": 39358, "Ġnoir": 39359, "Ġש×IJ×": 39360, "ë°ľ": 39361, "iemand": 39362, "ĠпоÑĤеÑĢ": 39363, "ê³³": 39364, "Ġê±±": 39365, "Ġformatting": 39366, "ĠLed": 39367, "è§Ģçľ¾": 39368, "Ġkillers": 39369, "ĠÄijấy": 39370, "Ġhaar": 39371, "again": 39372, "!>[": 45687, "minster": 45688, "Ġвли": 45689, "Ġidentifier": 45690, "ĠLambda": 45691, "Ġtros": 45692, "Ġflawless": 45693, "Ġdetrimental": 45694, "Ġbunları": 45695, "War": 45696, "Ġregião": 45697, "羣çļĦæĺ¯": 45698, "ĠBike": 45699, "cessors": 45700, "Ġcùng": 45701, "ĠRN": 45702, "Ġê½ĥ": 45703, "Ġküçük": 45704, "ĠBeginning": 45705, "íĺ¸ë": 45706, "Ġgewe": 45707, "Ġdenote": 45708, "ĠAlberto": 45709, "Ġprobiot": 45710, "Ġode": 45711, "Ġmolar": 45712, 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45768, "éĻ³": 45769, "Ġretiring": 45770, "Ġvampires": 45771, "Ġmerde": 45772, "ĠChanging": 45773, "Ġtame": 45774, "Ġspokesperson": 45775, "Ġcay": 45776, "Ġflirting": 45777, "ĠGrö": 45778, "Ġwär": 45779, "Ġwyb": 45780, "Ġcoeur": 45781, "ạnh": 45782, "ĠìĻĢìĦľ": 45783, "Ġconnais": 45784, "ĠHundreds": 45785, "ĠBea": 45786, "ĠαÏĢ": 45787, "pruch": 45788, "Ġsociedade": 45789, "ĠWhilst": 45790, "ĠKait": 45791, "espace": 45792, "Ġchia": 45793, "ĠErm": 45794, "Ġë°Ķê¿": 45795, "Ġfences": 45796, "ĠMortal": 45797, "ê²ģ": 45798, "ĠгÑĢаÑĦ": 45799, "ĠHomeland": 45800, "ĠJUN": 45801, "isst": 45802, "Ġparlar": 45803, "Ġsporty": 45804, "éo": 45805, "Ġdeepen": 45806, "ĠBehavior": 45807, "éĢı": 45808, "åĵĪåĵĪåĵĪ": 45809, "Ġerrand": 45810, "Ġrotary": 45811, "ĠWellington": 45812, "Wind": 45813, "Ġmesela": 45814, "ảng": 45815, "iende": 45816, "Ġexcell": 45817, "ĠGenius": 45818, "ĠEduardo": 45819, "æľī人": 45820, "ĠÅŁunu": 45821, "ĠÄ°stanbul": 45822, "Ġproduto": 45823, "Ġãħİãħİ": 45824, "OFF": 45825, "Ġwollt": 45826, "çĪĨ": 45827, "Ġëī´ìĬ¤": 45828, "Ġlass": 45829, "Ġhertz": 45830, "Ġaromatic": 45831, "Ġзвон": 45832, "Ġautoc": 45833, "ĠLust": 45834, "Ġ112": 45835, "ĠÎĹ": 45836, "Ġreviewers": 45837, "Ġreceptive": 45838, "å°įäºĨ": 45839, "ând": 45840, "oglo": 45841, "ĠìķĦëĭĻ": 45842, "Ġngo": 45843, "ÑĸÑĤи": 45844, "Ã¥t": 45845, "cono": 45846, "Ġtekrar": 45847, "Ġì£¼ê³ł": 45848, "ĠgelmiÅŁ": 45849, "Ġbedtime": 45850, "ĠArgh": 45851, "ADA": 45852, "ĠгоÑĢода": 45853, "ĠÄĩ": 45854, "Ġalliances": 45855, "giggling": 45856, "Ġyerde": 45857, "Ġspies": 45858, "Ġgutes": 45859, "çi": 45860, "Ġalltid": 45861, "ĠLah": 45862, "ŀIJë": 45863, "ĠdokÅĤad": 45864, "ÙĪÙĬ": 45865, "Ġtoxicity": 45866, "Ġcancellation": 45867, "Ġ1958": 45868, "dro": 45869, "ĠìŀijìĿĢ": 45870, "ĠMotorola": 45871, "Ġmultin": 45872, "Ġenthusiasts": 45873, "ĠMighty": 45874, "ĠCoconut": 45875, ":ãĢĮ": 45876, "ĠPictures": 45877, "Ġsangre": 45878, "Ġblinking": 45879, "olesome": 45880, "ĠìĬ¤íĥĢìĿ¼": 45881, "FP": 45882, "Ġbooming": 45883, "ĠдеÑģÑıÑĤ": 45884, "Ġratchet": 45885, "Ġtimelines": 45886, "leness": 45887, "Ġcages": 45888, "ĠGoodnight": 45889, "ometimes": 45890, "Ġcunning": 45891, "ĠRisk": 45892, "uled": 45893, "dade": 45894, "Ġprata": 45895, "ĠgustarÃŃa": 45896, "amus": 45897, "ĠJinping": 45898, "Ġestrut": 45899, "Ġdescobrir": 45900, "ĠMÄģ": 45901, "ĠAllan": 45902, "ĠåĪĨ": 45903, "Ġ׾ק": 45904, "Ġpreserv": 45905, "ĠStrawberry": 45906, "Äı": 45907, "Lu": 45908, "Ġkro": 45909, "ĠReports": 45910, "ìħĶìķ¼": 45911, "Ġvalt": 45912, "Ġpouvait": 45913, "Ġappar": 45914, "ĠBone": 45915, "Ġpreferably": 45916, "ĠRepública": 45917, "å°±åĪ°": 45918, "Ġherzlich": 45919, "Ġchimney": 45920, "Ġçev": 45921, "Ġvisas": 45922, "Ġverr": 45923, "Ġcultivation": 45924, "ĠArmenia": 45925, "ĠвдÑĢÑĥг": 45926, "Ġcockro": 45927, "retched": 45928, "artz": 45929, "ĠлÑİдÑıм": 45930, "ĠpolÃŃticas": 45931, "ĠPanz": 45932, "ĠAKA": 45933, "ĠëĪĮ룬": 45934, "Ġerro": 45935, "Ġcamper": 45936, "Ġ102": 45937, "स": 45938, "done": 45939, "Ġhoard": 45940, "ĠÐŁÐ¾ÑĤом": 45941, "jeong": 45942, "Ġdesta": 45943, "pak": 45944, "Ġinim": 45945, "Ġgrowers": 45946, "ĠMessage": 45947, "Ġelector": 45948, "engage": 45949, "ĠForbes": 45950, "ĠCincinnati": 45951, "Ġdifférence": 45952, "df": 45953, "Ġspar": 45954, "Ġawaits": 45955, "ĠUSSR": 45956, "ĠRising": 45957, "ĠHoÅŁ": 45958, "Ġfooting": 45959, "Ġcondiciones": 45960, "ÑĤоÑĢов": 45961, "Ġclinician": 45962, "ĠDiskuss": 45963, "å£ĵ": 45964, "ר×Ĵ": 45965, "×¥": 45966, "iteit": 45967, "gren": 45968, "Ġcharisma": 45969, "Ġleuke": 45970, "Ġirritating": 45971, "Ġcirca": 45972, "ĠRhodes": 45973, "Ġpior": 45974, "Ġhandicap": 45975, "royable": 45976, "Ġvull": 45977, "OG": 45978, "ĠinÃŃcio": 45979, "ieri": 45980, "Ġsplashing": 45981, "Ġdemise": 45982, "Ġassistir": 45983, "ÑĩÑĤо": 45984, "Ġcovert": 45985, "ĠGud": 45986, "à¸ī": 45987, "klär": 45988, "ĠìŀIJ꾸": 45989, "Ġverändert": 45990, "ĠREM": 45991, "ĠConven": 45992, "atge": 45993, "Ġpierwsze": 45994, "Ġclergy": 45995, "lington": 45996, "liv": 45997, "VPN": 45998, "ĠÑģожал": 45999, "ĠHate": 46000, "ãģ¨ãģĵãĤį": 46001, "ÏĨο": 46002, "ĠRespons": 46003, "озд": 46004, "Ġetmek": 46005, "Ġchemin": 46006, "ÙħØ©": 46007, "Ġê°Ģ족": 46008, "Tre": 46009, "Ġumas": 46010, "ĠBurton": 46011, "Ġpatriarch": 46012, "ĠSmithsonian": 46013, "¥ĺ": 46014, "Moon": 46015, "Air": 46016, "Ġmedios": 46017, "Ġeraser": 46018, "Ġwollten": 46019, "Ġpareil": 46020, "ĠBillie": 46021, "æĬ½": 46022, "еÑĢÑĤв": 46023, "Ġparlament": 46024, "Ġagony": 46025, "ĠQUE": 46026, "sequently": 46027, "Another": 46028, "ĠWhew": 46029, "ĠAnnual": 46030, "Ġseben": 46031, "ìĥģìĿĦ": 46032, "values": 46033, "ŀľë§Į": 46034, "Ġsinon": 46035, "ereal": 46036, "ĠEnlight": 46037, "ĠChemistry": 46038, "ĠCatalunya": 46039, "Ġdoctr": 46040, "anton": 46041, "Ġstuk": 46042, "ĠPlate": 46043, "ĠKardashian": 46044, "Ġfilos": 46045, "ĠWet": 46046, "ĠпопÑĭÑĤ": 46047, "Ġunknowns": 46048, "ĠSchon": 46049, "ĠBaldwin": 46050, "Ġtelescopes": 46051, "ĠGucci": 46052, "oxide": 46053, "ĠConservative": 46054, "ìĦ±ìĿĦ": 46055, "Ġhinaus": 46056, "Power": 46057, "Ġê±´ê°ķ": 46058, "Ġprevail": 46059, "orman": 46060, "machine": 46061, "Ġ1946": 46062, "Ġunbel": 46063, "Ġschaut": 46064, "Ġpiel": 46065, "eenth": 46066, "Ġobjectively": 46067, "Ġchakra": 46068, "audio": 46069, "Ġchicos": 46070, "ĠVault": 46071, "å°Ī": 46072, "Ġmedicinal": 46073, "ĠTail": 46074, "While": 46075, "Ġasphalt": 46076, "Ġfroze": 46077, "ĠEK": 46078, "unching": 46079, "nosis": 46080, "2015": 46081, "ĠGri": 46082, "Ġoddly": 46083, "ĠMär": 46084, "ĠAeg": 46085, "colo": 46086, "Par": 46087, "Ġëĵ¤ìĸ´ë": 46088, "Ġvinden": 46089, "ĠOVER": 46090, "Ġiced": 46091, "Ġscorp": 46092, "Ġhac": 46093, "qualified": 46094, "ĠÑĥвидеÑĤÑĮ": 46095, "ermo": 46096, "HEN": 46097, "Ġsoi": 46098, "Ġmultiples": 46099, "Ġlayouts": 46100, "Ġblindness": 46101, "ĠBowser": 46102, "ĠподÑĤ": 46103, "ĠÃİ": 46104, "ventional": 46105, "Ġmata": 46106, "madı": 46107, "Ġgeez": 46108, "Ġcadence": 46109, "Ġważne": 46110, "ĠChristie": 46111, "venge": 46112, "Call": 46113, 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46170, "Ġréussi": 46171, "Ġhypertension": 46172, "ĠManual": 46173, "Ġprophetic": 46174, "Ġhandc": 46175, "ÑĮе": 46176, "Ġrefrain": 46177, "ĠSquid": 46178, "ìŀ¡": 46179, "Ġкоман": 46180, "ällen": 46181, "Ġllegó": 46182, "Ġbash": 46183, "iony": 46184, "ĠÑģклад": 46185, "Ġкаб": 46186, "Ġcareless": 46187, "ĠPool": 46188, "Ġtrás": 46189, "Ġfils": 46190, "ĠSchr": 46191, "Ġsprawd": 46192, "ĠMonaten": 46193, "Ġunforgettable": 46194, "ĠCotton": 46195, "Ġinconvenient": 46196, "ĠRX": 46197, "oris": 46198, "Ġhumbled": 46199, "ת×Ĺ": 46200, "Ġآپ": 46201, "ĠincreÃŃ": 46202, "ĠKommentare": 46203, "èĪĴ": 46204, "ración": 46205, "Ġvantage": 46206, "ĠSeal": 46207, "ĠìĿ´ê±°ë¥¼": 46208, "Ġjoue": 46209, "ãģĿãģĨãģ§ãģĻãģŃ": 46210, "Ġìĺ¤ëŀĺ": 46211, "ĠиÑģпÑĭÑĤ": 46212, "oben": 46213, "Ġgrate": 46214, "Ġcontrole": 46215, "ĠPercy": 46216, "ÅĤada": 46217, "Ġsimultaneous": 46218, "Ġprototy": 46219, "ĠgroÃŁer": 46220, "Ġbewusst": 46221, "inizi": 46222, "Ġpassieren": 46223, "ĠHappiness": 46224, "åīĩ": 46225, "shi": 46226, "geht": 46227, "Ġstationed": 46228, "ĠErgebnis": 46229, "Ġdirectamente": 46230, "Ġsurvives": 46231, "Ġpersones": 46232, "BERG": 46233, "Ġvomiting": 46234, "Ġconhecer": 46235, "Ġadjour": 46236, "ĠCivic": 46237, "pei": 46238, "burst": 46239, "Ġëĭ¤ëĭĪ": 46240, "éı": 46241, "Ġsled": 46242, "Ġplataforma": 46243, "ĠSect": 46244, "ĠDefin": 46245, "çĻ»éĮ²": 46246, "énom": 46247, "chnet": 46248, "Ġprofitability": 46249, "Ġerreicht": 46250, "á»ıi": 46251, "cation": 46252, "Ġì§Ģê¸": 46253, "Ġperdre": 46254, "Ġfelony": 46255, "Ġ1957": 46256, "æĪijå¾Ī": 46257, "Ġunsuccessful": 46258, "Ġnagyon": 46259, "Ġelasticity": 46260, "Ġfacade": 46261, "Ġearthly": 46262, "ĠамеÑĢикан": 46263, "Ġconn": 46264, "cla": 46265, "Du": 46266, "Ġpolitiques": 46267, "Ġhalo": 46268, "iantes": 46269, "Ġмоей": 46270, "ãĥ³ãĥī": 46271, "tones": 46272, "elier": 46273, "è®ļ": 46274, "htaking": 46275, "Ġwichtige": 46276, "Ġanno": 46277, "ĠLok": 46278, "illions": 46279, "Ġviver": 46280, "Ġsolchen": 46281, "Ġsuf": 46282, "ĠSalz": 46283, "ĠNvidia": 46284, "zuge": 46285, "ĠSpike": 46286, "Video": 46287, "Ġtwor": 46288, "ĠAla": 46289, "èijī": 46290, "Ġhanya": 46291, "ĠAdm": 46292, "ìĿµ": 46293, "ĠPatienten": 46294, "ĠOnion": 46295, "ĠKobe": 46296, "ĠScene": 46297, "ĠRash": 46298, "æ¨Ļ": 46299, "ÑĢаÑģÑĤ": 46300, "istani": 46301, "General": 46302, "leye": 46303, "imbap": 46304, "Ġconcealed": 46305, "ĠFridays": 46306, "ĠWool": 46307, "ĠновÑĭÑħ": 46308, "شر": 46309, "Ġê²°ê³¼": 46310, "Ġjedoch": 46311, "´ìĭľ": 46312, "ĵ¤ëıĦ": 46313, "Ġìŀ¥ëĤľ": 46314, "ukt": 46315, "Lou": 46316, "Ġ먹ìĸ´": 46317, "ĠExpect": 46318, "Ġдомой": 46319, "Ġirresponsible": 46320, "Ġacerca": 46321, "ĠZust": 46322, "ר×ĺ": 46323, "UI": 46324, "Ġyoutubers": 46325, "ĠPositive": 46326, "Ġsocioe": 46327, "Ġsnatch": 46328, "èĥĮ": 46329, "Ġrefreshed": 46330, "Ġnominations": 46331, "ĠPatt": 46332, "Ġobsolete": 46333, "ĠdemiÅŁ": 46334, "åı¤": 46335, "ormuÅŁ": 46336, "ĠìĨĶì§ģíŀĪ": 46337, "Ġfla": 46338, "Ġcraziest": 46339, "ĠZie": 46340, "ĠTú": 46341, "zep": 46342, "icem": 46343, "Ġë©ĭìŀĪ": 46344, "Ġcynical": 46345, "ãģĿãĤĵãģª": 46346, "Ġtresp": 46347, "Ġcraz": 46348, "Õ¥Õ": 46349, "Ġnelle": 46350, "Ġmph": 46351, "ĠNered": 46352, "ĠKob": 46353, "ĠEck": 46354, "¨¸ëĭĪ": 46355, "Jan": 46356, "ĠТогда": 46357, "Ġdeci": 46358, "ĠVog": 46359, "Ġbubbling": 46360, "éĢĢ": 46361, "úa": 46362, "Ġproductos": 46363, "iberal": 46364, "Ġreplicated": 46365, "ĠImprove": 46366, "illary": 46367, "Cha": 46368, "Ġrédu": 46369, "ĥIJíķĺë©´": 46370, "Ġconnot": 46371, "ĠKrit": 46372, "ĠдÑĥÑħов": 46373, "Ġtreadmill": 46374, "ĠPW": 46375, "ĠзовÑĥÑĤ": 46376, "Ġclams": 46377, "Ġdrafting": 46378, "Ġ1956": 46379, "unta": 46380, "Ġexpenditures": 46381, "ĠHoover": 46382, "WOO": 46383, "ÑĪее": 46384, "Ġdeduction": 46385, "monary": 46386, "Ġrecib": 46387, "Ġpovo": 46388, "ĠëįĶë": 46389, "ĠPAL": 46390, "ĠBlow": 46391, "Ġwyp": 46392, "Ġdestac": 46393, "deal": 46394, "Graeme": 46395, "Ġnécessaire": 46396, "Ġdamned": 46397, "Ġ1938": 46398, "Ġìĭ¤ìłľë¡ľ": 46399, "Ġtroop": 46400, "Ġinsightful": 46401, "ĠTJ": 46402, "ĠоÑģв": 46403, "Ġfidelity": 46404, "ĠSkip": 46405, "ĠMayo": 46406, "ë§Ŀ": 46407, "appe": 46408, "Ġblas": 46409, "ĠWY": 46410, "ĠGN": 46411, "ctar": 46412, "Su": 46413, "Ġcuent": 46414, "hews": 46415, "Ġcorpses": 46416, "Abs": 46417, "Ġwastewater": 46418, "Ġciek": 46419, "ĠOnu": 46420, "Ġexplosives": 46421, "Ġarma": 46422, "ĠSTEPHAN": 46423, "politik": 46424, "ĠOsaka": 46425, "taÅĤ": 46426, "Ġyapıyor": 46427, "Ġizquier": 46428, "Ġbeleza": 46429, "ĠWyatt": 46430, "åIJ¸": 46431, "Ġsuk": 46432, "Ġspecjal": 46433, "Ġdanke": 46434, "whistle": 46435, "ĠfÃŃsica": 46436, "ĠHarriet": 46437, "ĠìķĦíĮĮ": 46438, "Ġwillkommen": 46439, "iping": 46440, "ĠÑģмоÑĤÑĢиÑĤе": 46441, "ĠможеÑĪÑĮ": 46442, "Ġinaccurate": 46443, "Ġarrogance": 46444, "ĠRemo": 46445, "γά": 46446, "assed": 46447, "Ġdeliveries": 46448, "Ġstinky": 46449, "ĠпеÑĢеж": 46450, "jay": 46451, "Ġtransitional": 46452, "Ġrere": 46453, "ĠNGOs": 46454, "ĠATM": 46455, "خت": 46456, "iology": 46457, "Ġвлад": 46458, "Ġschme": 46459, "ĠShine": 46460, "ìķ¡": 46461, "pants": 46462, "Ġserge": 46463, "Ġsenhor": 46464, "Ġabduct": 46465, "ĠBryant": 46466, "VES": 46467, "Ġawakened": 46468, "ĠLaz": 46469, "ropolis": 46470, "ĠLao": 46471, "è¾Ľèĭ¦": 46472, "Ġvilla": 46473, "Ġsummers": 46474, "Ġenthal": 46475, "Ġ1949": 46476, "Via": 46477, "Ġìĸ´ì¨": 46478, "Ġtendon": 46479, "Ġviolet": 46480, "Ġintellectually": 46481, "Ġbounced": 46482, "araus": 46483, "Ġ1919": 46484, "Ġvraag": 46485, "Ġspel": 46486, "ĠSchwar": 46487, "Scott": 46488, "ĠIndo": 46489, "Ġë§Ŀ": 46490, "Ġcanonical": 46491, "ĠIKE": 46492, "ĠthatÃŃs": 46493, "Ġmellan": 46494, "æ¯Ĵ": 46495, "igmat": 46496, "Could": 46497, "...?)": 46498, "Ġfoarte": 46499, "ĠKumar": 46500, "rendo": 46501, "Ġélé": 46502, "à´": 46503, "valuation": 46504, "cases": 46505, "Ġintuitively": 46506, "hong": 46507, "etted": 46508, "Ġsouven": 46509, "Ġmorb": 46510, "Ġcors": 46511, "ĠNV": 46512, "ĠHasan": 46513, "æĥħåĨµ": 46514, "ieved": 46515, "Ġì§Ģê¸ĪìĿĢ": 46516, "Ġdumpling": 46517, "Ġcontrôle": 46518, "Ġambiguity": 46519, "æ©Łæľĥ": 46520, "Ġcog": 46521, "ĠScriptures": 46522, "Ġcai": 46523, "Ġbever": 46524, "大家éĥ½": 46525, "Ġhuis": 46526, "Ġaime": 46527, "Ġerklären": 46528, "ĠLM": 46529, "ĠFey": 46530, "éļ¾": 46531, "றத": 46532, "Ġsupervised": 46533, "Ġjewe": 46534, "spl": 46535, "ĠÑĨенÑĤÑĢ": 46536, "Ġcollisions": 46537, "ÙĦÙģ": 46538, "ĠHogwarts": 46539, "ĠDurham": 46540, "×ķ×£": 46541, "Ġphosphate": 46542, "Ġoversee": 46543, "Ġinspections": 46544, "Ġbrinc": 46545, "ĠZak": 46546, "Ġpayoff": 46547, "Ġchaud": 46548, "ĠHunger": 46549, "ãos": 46550, "vir": 46551, "Ġfiance": 46552, "Ġboug": 46553, "lived": 46554, "cry": 46555, "åĽŀä¾Ĩ": 46556, "Ġjointly": 46557, "Ġgirlfriends": 46558, "ĠNexus": 46559, "¦¬ê²łìĬµëĭĪëĭ¤": 46560, "ĠKwang": 46561, "åĵĪåĽī": 46562, "å§ij": 46563, "ÅĤÄĻ": 46564, "ĠNeden": 46565, "iece": 46566, "Ġinserting": 46567, "æŁĵ": 46568, "ĠMummy": 46569, "ĠGlobe": 46570, "Ġlee": 46571, "Ġgerman": 46572, "Ġcreams": 46573, 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"Ġchuckling": 48167, "ĠMih": 48168, "Ġrallies": 48169, "Ġmanter": 48170, "Ġearnest": 48171, "super": 48172, "Ġgece": 48173, "ĠRend": 48174, "ĠGerade": 48175, "jenigen": 48176, "ĠVall": 48177, "ĠìŀĪëĤĺ": 48178, "ĠÑģказала": 48179, "Ġtrabalh": 48180, "ĠнаÑĪем": 48181, "ĠмеÑħ": 48182, "ikit": 48183, "Ġnouns": 48184, "Ġneurological": 48185, "Ġmotivational": 48186, "ĠMcMahon": 48187, "ĠFinished": 48188, "Ġë³´ìĿ´": 48189, "ĠFields": 48190, "Ġadolescents": 48191, "ĠTisch": 48192, "ĠNeben": 48193, "ĠFlowers": 48194, "ĠEnerg": 48195, "Ġdiret": 48196, "ĠThi": 48197, "ĠPicas": 48198, "æĥľ": 48199, "æĢİä¹Īæł·": 48200, "Ġavete": 48201, "ĠFors": 48202, "ĠChapel": 48203, "Não": 48204, "Et": 48205, "ĠÑģодеÑĢж": 48206, "reno": 48207, "Ġsven": 48208, "ĠdostÄĻp": 48209, "nee": 48210, "ĠSnapdragon": 48211, "ĠIDs": 48212, "ìķĺëĬĶëį°": 48213, "ר×ļ": 48214, "Ġsunflower": 48215, "Ġperpetual": 48216, "ç³ĸ": 48217, "Ġknights": 48218, "Ġgird": 48219, "ĠTold": 48220, "Ġvolcanoes": 48221, "Ġadversary": 48222, "ĠEconomy": 48223, "Ġextrapol": 48224, "Ġbluetooth": 48225, "Ġzooming": 48226, "Ġskys": 48227, "Ġgenial": 48228, "ÃŃculos": 48229, "ambre": 48230, "ĠмеÑĢ": 48231, "Ġteeny": 48232, "Ġstressing": 48233, "ìķĮ": 48234, "ONY": 48235, "Ġtranslucent": 48236, "Ġrounding": 48237, "Ġgrues": 48238, "×Ļ׳×Ķ": 48239, "après": 48240, "Ġprueba": 48241, "Ġpolygon": 48242, "Ġblueberry": 48243, "ĠProgramm": 48244, "Ġtrenches": 48245, "Ġsebagai": 48246, "Ġpalate": 48247, "Ġlaude": 48248, "Ġbehaved": 48249, "Ġlongitudinal": 48250, "ĠModule": 48251, "Ġadmir": 48252, "λι": 48253, "Greg": 48254, "Ġwyst": 48255, "Ġpropagate": 48256, "Ġmolds": 48257, "ĠTub": 48258, "ĠLoud": 48259, "usto": 48260, "Ġunstoppable": 48261, "Ġreinforcing": 48262, "éĿŀ常çļĦ": 48263, "ĠпÑĢоблема": 48264, "Ġpotencial": 48265, "Ġhemp": 48266, "ìŀĶ": 48267, "य": 48268, "Ġoptic": 48269, "Ġerfolgreich": 48270, "ÑģÑĭ": 48271, "олÑĮÑĪе": 48272, "urst": 48273, "ĠPois": 48274, "Ġrespondents": 48275, "Ġnehme": 48276, "ĠExternal": 48277, "olate": 48278, "Hyun": 48279, "Ġquartz": 48280, "Ġmathematician": 48281, "Ġbásicamente": 48282, "Ġail": 48283, "ìłľë¥¼": 48284, "attutto": 48285, "Ġnooit": 48286, "Ġafflict": 48287, "ĠOlga": 48288, "èŃ·": 48289, "ĠнаÑĤ": 48290, "Ġdites": 48291, "Ġrealidade": 48292, "Ġkän": 48293, "Ġuniqueness": 48294, "Ġpadres": 48295, "Ġsubsidi": 48296, "Ġpigeons": 48297, "βα": 48298, "stad": 48299, "Ġderen": 48300, "ĠСлед": 48301, "doo": 48302, "ĠопиÑģании": 48303, "Ġamber": 48304, "Ġgoosebumps": 48305, "ĠfrÃ¥gor": 48306, "ĠVital": 48307, "ĠIsraelites": 48308, "wasser": 48309, "Isn": 48310, "Ġcommits": 48311, "ĠSTEVEN": 48312, "ĠBevölker": 48313, "uitive": 48314, "Ġlegen": 48315, "Ġbruk": 48316, "иÑĢован": 48317, "ynen": 48318, "helm": 48319, "Ġgenerational": 48320, "ĠLändern": 48321, "οιÏĢÏĮν": 48322, "uzu": 48323, "Ġcaller": 48324, "онÑĮ": 48325, "ümü": 48326, "Ġbesar": 48327, "Ġplats": 48328, "Ġmigrated": 48329, "Ġjap": 48330, "ĠWAR": 48331, "Ġdissect": 48332, "ĠZusch": 48333, "ĠZeiten": 48334, "ĠLions": 48335, "ĠDF": 48336, "âĶ": 48337, "кив": 48338, "Ġpedestrians": 48339, "ĠMarilyn": 48340, "dock": 48341, "Ġyht": 48342, "Ġreincarn": 48343, "ĠSono": 48344, "ĠGrowth": 48345, "ÑĥÑģов": 48346, "Ġdungeons": 48347, "Ġbagus": 48348, "kich": 48349, "ĠÑĥкÑĢаÑĹ": 48350, "éĨ«": 48351, "ĠKeller": 48352, "chemistry": 48353, "Japanese": 48354, "Ġwillst": 48355, "Ġdecomposition": 48356, "ĠÑģÑĤен": 48357, "Ġrevived": 48358, "íķĻêµIJ": 48359, "ĠÅĵ": 48360, "ä½IJ": 48361, "ìĭ¸": 48362, "ippy": 48363, "Ġhourly": 48364, "jän": 48365, "ĠWorkshop": 48366, "Ŀ¼ìĦľ": 48367, "Ġcuarto": 48368, "Ġpatrim": 48369, "ĠBurch": 48370, "ĠìŀĪ기": 48371, "Ġhepat": 48372, "ĠhÃłng": 48373, "ĠëĮĢíķ´": 48374, "ĠваÑĪи": 48375, "Ġrework": 48376, "Ġparse": 48377, "Ġçıktı": 48378, "ĠSax": 48379, "ĠMongo": 48380, "ĠAaah": 48381, "ramble": 48382, "DJ": 48383, "Ġstabilized": 48384, "ĠSpeech": 48385, "Books": 48386, "Ġhurdles": 48387, "ĠWO": 48388, "ĠLamborg": 48389, "Ġ1933": 48390, "Ġvorbere": 48391, "Ġclinically": 48392, "Ġbreathtaking": 48393, "ĠGateway": 48394, "пеÑĢвÑĭÑħ": 48395, "uters": 48396, "Ġë¹µ": 48397, "Ġyeter": 48398, "Ġpulley": 48399, "Ġmuffin": 48400, "ĠPrefer": 48401, "ĠPence": 48402, "Ġinformação": 48403, "ìĬ¤íĬ¸ë": 48404, "ãĤ¸ãĥ£": 48405, "ĠTurtle": 48406, "ĠRegina": 48407, "ĠLoad": 48408, "does": 48409, "panze": 48410, "¸Ķ": 48411, "Ġmina": 48412, "ĠLatinos": 48413, "ammers": 48414, "ĠTort": 48415, "ĠBeyonce": 48416, "имоÑģÑĤи": 48417, "ĠвопÑĢоÑģÑĭ": 48418, "Ġbulun": 48419, "èĢĮå·²": 48420, "inek": 48421, "bereich": 48422, "Ġpasture": 48423, "ĠOA": 48424, "ĠMelt": 48425, "ĠEtt": 48426, "ĠDY": 48427, "Ġobwohl": 48428, "Ġleagues": 48429, "ÑĤеÑģÑĮ": 48430, "ĠкÑĥÑģ": 48431, "Ġvors": 48432, "Ġtopp": 48433, "ographical": 48434, "asst": 48435, "Ġlindo": 48436, "Ġë°ĿíĺĶ": 48437, "Ġréfl": 48438, "Ġclimbs": 48439, "Ġvarsa": 48440, "Ġmethyl": 48441, "ĠKarere": 48442, "Æ°á»Ł": 48443, "Rad": 48444, "Ġpreparedness": 48445, "онÑĩ": 48446, "ĠOD": 48447, "ĠCGI": 48448, "Ġम": 48449, "Ġspeechless": 48450, "Ġlasci": 48451, "Ġbolag": 48452, "ĠÑħоÑĩеÑĤÑģÑı": 48453, "Ġgrieving": 48454, "ĠJohannes": 48455, "ĠCarroll": 48456, "adaki": 48457, "Ī¬ë": 48458, "ĠsÅĤu": 48459, "Ġinnerhalb": 48460, "Ġgymnastics": 48461, "пÑĢи": 48462, "ifiques": 48463, "Ġkarate": 48464, "Ġdomu": 48465, "ãģĿãĤĮãģ§": 48466, "OTHER": 48467, "Ġdemandé": 48468, "Ġbooklet": 48469, "ĠKyoto": 48470, "Ġwoh": 48471, "ĠMarÃŃa": 48472, "violent": 48473, "JE": 48474, "Ġlóg": 48475, "Ġbrutally": 48476, "cot": 48477, "ĠÙħÛĮ": 48478, "ĠWarsz": 48479, "å®Ī": 48480, "wol": 48481, "Ġmikä": 48482, "ĠPronounce": 48483, "ĠBrendan": 48484, "Ġroup": 48485, "Ġitaliano": 48486, "å¦ĤæѤ": 48487, "ĠкомпÑĮÑİÑĤ": 48488, "Ġurging": 48489, "edes": 48490, "Ġcarbono": 48491, "ĠRichardson": 48492, "ĠÐĿаÑĩ": 48493, "ĠTrainer": 48494, "ĠCrimea": 48495, "Ġdiapers": 48496, "Ġcovet": 48497, "ĠMahar": 48498, "ĠHutch": 48499, "ĠAusw": 48500, "berty": 48501, "Ġindifferent": 48502, "кÑĢеÑĤ": 48503, "uldade": 48504, "Ġharms": 48505, "¢ÙĨ": 48506, "lesia": 48507, "Ġgio": 48508, "ĠMistress": 48509, "ĠKnox": 48510, "ĠFREE": 48511, "Ġ루ë": 48512, "ĠнаÑĪа": 48513, "Ġinvincible": 48514, "Ġmaiden": 48515, "ĠJeez": 48516, "Ġbreve": 48517, "pole": 48518, "Ġcriticisms": 48519, "ĠRusia": 48520, "म": 48521, "phin": 48522, "ĠCompare": 48523, "ĠBON": 48524, "Ġsneaking": 48525, "ĠRails": 48526, "ĠGeral": 48527, "Ġ1953": 48528, "Hola": 48529, "ĠопÑĭÑĤ": 48530, "Ġrainforest": 48531, "Ġbelum": 48532, "ĠObi": 48533, "ĠISS": 48534, "ãĤĮãģªãģĦ": 48535, "ĠСв": 48536, "Ġblond": 48537, "Ġwzgl": 48538, "ĠpowiedziaÅĤ": 48539, "Ġchoking": 48540, "ĠSongs": 48541, "ĠBiraz": 48542, "Ġyells": 48543, "Ġstylist": 48544, "ÏĮÏĦε": 48545, "Ġschreiben": 48546, "ĠJaw": 48547, "ĠEleven": 48548, "ĠRif": 48549, "/.": 48550, "Ġìĺ¤ëŀľë§Į": 48551, "Ġtreaties": 48552, "uffed": 48553, "ĠâĪĴ": 48554, "Ġroofs": 48555, "à¹Ģส": 48556, "Ġë»": 48557, "Ġsparkle": 48558, "ĠKiev": 48559, "ĠArgu": 48560, "erecht": 48561, "ĠÐĿадо": 48562, "ĠFIL": 48563, "Ġmolta": 48564, "ĠDevi": 48565, "Ġcampe": 48566, "Ġbenevol": 48567, "ĠTough": 48568, "Ġmoim": 48569, "Ġevacuate": 48570, "Ġerrado": 48571, "å©Ĩ": 48572, "ÑĢÑĥго": 48573, "Ġíİĺ": 48574, "ĠÎĵια": 48575, "Ġweaken": 48576, "Ġilluminated": 48577, "Ġsiglo": 48578, "ĠVacc": 48579, "ией": 48580, "alis": 48581, "ĠÑĥÑģÑĤÑĢой": 48582, "Ġdona": 48583, "ÅĤos": 48584, "üman": 48585, "Ġproducción": 48586, "Ġclot": 48587, "ĠMango": 48588, "Ġuneasy": 48589, "Ġshuts": 48590, "ĠExamples": 48591, "vell": 48592, "ebe": 48593, "Ġpromptly": 48594, "ĠTeles": 48595, "ĠпÑĢоÑĪл": 48596, "Ġpuerta": 48597, "Ġüberzeug": 48598, "Ġcoch": 48599, "social": 48600, "ĠBenson": 48601, "ĠMeth": 48602, "ĠExped": 48603, "Ġsupplemental": 48604, "Ġconceive": 48605, "Ġ×ĺ×ķ×ij": 48606, "Ġcaptivity": 48607, "ıĻìķĪ": 48608, "ĠÑħÑĥд": 48609, "forming": 48610, "Ġuploads": 48611, "Ġturbulence": 48612, "joint": 48613, "Ġsatisfactory": 48614, "ĠAnime": 48615, "Ġwashes": 48616, "Ġliberals": 48617, "ĠSunshine": 48618, "ĠREAL": 48619, "ublik": 48620, "binary": 48621, "Tony": 48622, "Ġpolarized": 48623, "Ġenriched": 48624, "taking": 48625, "ĠëģĿëĤĺ": 48626, "Ġpleasures": 48627, "Ġextermin": 48628, "inese": 48629, "atl": 48630, "vär": 48631, "аÑĢÑĭ": 48632, "ĠmyÅĽ": 48633, "narrator": 48634, "Ġодном": 48635, "ĠnajwiÄĻ": 48636, "Ġmobilize": 48637, "Ġmillor": 48638, "Ġata": 48639, "æ··": 48640, "ĠpolÃŃtico": 48641, "Ġplead": 48642, "Ġpainters": 48643, "ĠSow": 48644, "оÑĦ": 48645, "ĠìĺĽëĤł": 48646, "ĠÑĩÑĤоб": 48647, "Ġsabor": 48648, "ĠUndert": 48649, "ĠJERRY": 48650, "Å¡ÃŃ": 48651, "Ġë°ĸìĹIJ": 48652, "Ġprécéd": 48653, "Ġannotation": 48654, "ĠInaudible": 48655, "Ġtextured": 48656, "Ġfisherman": 48657, "vordan": 48658, "icherung": 48659, "ĠìłģìĿ´": 48660, "Ġgezeigt": 48661, "Ġmandates": 48662, "Ġbeak": 48663, "ĠTWO": 48664, "ĠAkbar": 48665, "ilian": 48666, "Ġtiếp": 48667, "Ġsuperiority": 48668, "inku": 48669, "Ġlys": 48670, "ĠFCC": 48671, "ĠCPA": 48672, "ustering": 48673, "nicos": 48674, "anja": 48675, "Ġchills": 48676, "ĠCage": 48677, "Ġsealing": 48678, "Ġsaç": 48679, "Ġdedans": 48680, "ĠAlger": 48681, "Ġspezie": 48682, "Ġcoloss": 48683, "ıyı": 48684, "clockwise": 48685, "Ġexactamente": 48686, "Ġiemand": 48687, "amı": 48688, "Ġmandar": 48689, "raj": 48690, "faced": 48691, "agua": 48692, "Ġê¹Ķë": 48693, "Ġinsbesondere": 48694, "Ġdrizzle": 48695, "Ġdiminish": 48696, "ĠYoda": 48697, "AI": 48698, "Ġbilmiyorum": 48699, "ĠMMA": 48700, "ategory": 48701, "ĠпеÑĢеп": 48702, "Ġparticipar": 48703, "Ġnormalized": 48704, "Ġcomplexities": 48705, "æ´²": 48706, "æݧ": 48707, "аÑĢов": 48708, "mist": 48709, "icha": 48710, "Group": 48711, "Ġresiliency": 48712, "Ġnogle": 48713, "ĠCNC": 48714, "prü": 48715, "Ġphysicists": 48716, "нок": 48717, "LI": 48718, "Ġstuffs": 48719, "Ġsistemas": 48720, "Ġinterfering": 48721, "ĠMarvin": 48722, "ército": 48723, "ĠìĹĨê³ł": 48724, "Ġsonic": 48725, "Ġequiv": 48726, "Ġabord": 48727, "ĠRamen": 48728, "Ġ09": 48729, "medim": 48730, "atiques": 48731, "ĠделаÑİÑĤ": 48732, "Ġunanimously": 48733, "Ġskirts": 48734, "ĠíĬ¹ë³Ħ": 48735, "ĠPrix": 48736, "kami": 48737, "Ġfruition": 48738, "Ġbirthdays": 48739, "иком": 48740, "Ġinaugural": 48741, "Ġcorrelate": 48742, "ĠTory": 48743, "ĠëĤĺìģ": 48744, "Ġdew": 48745, "ĠPrecis": 48746, "ihi": 48747, "Ġë¬¸ìłľê°Ģ": 48748, "Ġciting": 48749, "ĠLana": 48750, "ĠKag": 48751, "Ġplaythrough": 48752, "ĠProtocol": 48753, "frist": 48754, "hovah": 48755, "Ġmerciful": 48756, "Ġbilingual": 48757, "ĠGuitar": 48758, "rh": 48759, "Ġglamorous": 48760, "ĠVikings": 48761, "ĠOoooh": 48762, "íķĺëĬĶëį°": 48763, "ĠUganda": 48764, "Ġcollapses": 48765, "entry": 48766, "Ġantioxidants": 48767, "ëĤĺë": 48768, "ÑĪаÑı": 48769, "Ġtrivia": 48770, "Ġgäller": 48771, "Ġfungi": 48772, "Ġmilks": 48773, "Ġdicht": 48774, "μη": 48775, "poke": 48776, "ĠвÑĭпÑĥÑģк": 48777, "Ġfeeder": 48778, "ĠAlcohol": 48779, "hower": 48780, "Ġdeserving": 48781, "ĠRebel": 48782, "iosis": 48783, "Ġ103": 48784, "Ġhandout": 48785, "Ġenm": 48786, "Ġlandlords": 48787, "Ġgeology": 48788, "rils": 48789, "Ġcobra": 48790, "ĠVold": 48791, "ĠPanch": 48792, "ĠGREG": 48793, "Ġpross": 48794, "Ġbracelets": 48795, "ĠVega": 48796, "Ġrozum": 48797, "款": 48798, "азд": 48799, "ĠLynd": 48800, "ĠHonors": 48801, "Ġsurrendered": 48802, "Ġlibrarians": 48803, "125": 48804, "ĠÑģиг": 48805, "Ġuniformly": 48806, "ĠEagles": 48807, "ìķĻ": 48808, "иÑĤан": 48809, "andid": 48810, "ĠìłĪëĮĢ": 48811, "Ġض": 48812, "Ġarrests": 48813, "ĠCSV": 48814, "ĠAzerbaijan": 48815, "ortic": 48816, "ĠDX": 48817, "ĠAdventures": 48818, "Ġabus": 48819, "ĠFau": 48820, "Ġschlimm": 48821, "Ġrattling": 48822, "Ġconsumes": 48823, "ĠTolkien": 48824, "Ġresurrected": 48825, "ĠXY": 48826, "íĬ¸ê°Ģ": 48827, "ĠвÑĭÑģÑĤÑĥп": 48828, "ĠAngie": 48829, "żenia": 48830, "Mic": 48831, "ĠSheila": 48832, "achtet": 48833, "Ġoverst": 48834, "Ġlâ": 48835, "Ġineffective": 48836, "æĿ¡": 48837, "æĢİä¹ĪäºĨ": 48838, "å¿Ļ": 48839, "Ġwichtiger": 48840, "Ġvino": 48841, "Ġpum": 48842, "Ġangled": 48843, "ĠPione": 48844, "ĠMỹ": 48845, "ãģĿãĤĮãģ¯": 48846, "woÅĽÄĩ": 48847, "draw": 48848, "ัà¹Ī": 48849, "markets": 48850, "Ġcafes": 48851, "ĠCem": 48852, "âĿ¤": 48853, "ĠSuit": 48854, "MK": 48855, "Ġemphasizes": 48856, "Ġtortilla": 48857, "Ġmejorar": 48858, "ĠSurviv": 48859, "casting": 48860, "Ġeducación": 48861, "ĠGum": 48862, "uely": 48863, "ĠìĹ¬ê¸°ëĬĶ": 48864, "Ġstretchy": 48865, "ença": 48866, "Ġwithhold": 48867, "Ġexiting": 48868, "Ġenthalpy": 48869, "ĠTransit": 48870, "ılmÄ±ÅŁ": 48871, "alies": 48872, "Ġsalvar": 48873, "Ġleaned": 48874, "ĠgroÃŁes": 48875, "Ġfitt": 48876, "аки": 48877, "Sarah": 48878, "Ġhostel": 48879, "Ġfingerna": 48880, "ĠnadziejÄĻ": 48881, "wives": 48882, "Rec": 48883, "Ġspool": 48884, "аÑĤов": 48885, "ĠEnemy": 48886, "Ġfury": 48887, "Ġdetta": 48888, "ĠFay": 48889, "éļ¨": 48890, "ÑıÑİÑĤ": 48891, "Ġaproximadamente": 48892, "Ġsilos": 48893, "Ġmagist": 48894, "Ġcree": 48895, "ĠKrank": 48896, "ĠDOWN": 48897, "Ġstartled": 48898, "Ġreborn": 48899, "ĠUmwelt": 48900, "ĠSuzanne": 48901, "ниÑĨÑĭ": 48902, "outez": 48903, "ĠJAC": 48904, "yards": 48905, "radas": 48906, "rau": 48907, "ipts": 48908, "hail": 48909, "Ġparagraphs": 48910, "Ġmeglio": 48911, "Ġisolating": 48912, "Ġaceite": 48913, "ĠHarsh": 48914, "Ġcyst": 48915, "ĠBlockchain": 48916, "ĠÑħоÑĢоÑĪий": 48917, "Ġvirtuous": 48918, "Ġinvestigación": 48919, "Ġdevoir": 48920, "Ġmasturb": 48921, "ĠSale": 48922, "ÙĬرة": 48923, "ĠΧ": 48924, "ĠStraÃŁen": 48925, "Ġdikk": 48926, "Ġafore": 48927, "ĠJungkook": 48928, "Ġchociaż": 48929, "ĠDebatte": 48930, "Ġweirdly": 48931, "Ġviaje": 48932, "regist": 48933, "Help": 48934, "Ġkinderen": 48935, "Ġformulated": 48936, "Ġenfim": 48937, "ĠTowards": 48938, "коÑĹ": 48939, "ivering": 48940, "ĠдеÑĤи": 48941, "charger": 48942, "Ġpurl": 48943, "Ġacademically": 48944, "ĠNurse": 48945, "Ġdeleting": 48946, "ayo": 48947, "Ġrefusal": 48948, "Ġdepicts": 48949, "ĠDracula": 48950, "Ġtoasted": 48951, "ĠZombie": 48952, "ĠSuperior": 48953, "ĠBold": 48954, "Ġquizzes": 48955, "Ġgle": 48956, "450": 48957, "Ġcomeço": 48958, "ynn": 48959, "Ġverst": 48960, "ĠOlaf": 48961, "Ġpomoc": 48962, "ĠSask": 48963, "ëĺ": 48964, "ĠTCP": 48965, "ĠProperty": 48966, "íķĺì£ł": 48967, "à¸ľà¸¡": 48968, "boom": 48969, "aros": 48970, "ĠÑĢоÑģÑģий": 48971, "ĠбÑĭваеÑĤ": 48972, "åĩºåİ»": 48973, "ĠìĿ´ìķ¼ê¸°ë¥¼": 48974, "Ġcombien": 48975, "vacc": 48976, "Ġebenfalls": 48977, "para": 48978, "Ġзм": 48979, "Ġdesperation": 48980, "ordre": 48981, "Ġש׾×Ļ": 48982, "Ġgenerously": 48983, "ĠÐŀк": 48984, "Ġorbiting": 48985, "> length: + array = array.index_select(dim=axis, index=torch.arange(length)) + + if array.shape[axis] < length: + pad_widths = [(0, 0)] * array.ndim + pad_widths[axis] = (0, length - array.shape[axis]) + array = F.pad(array, [pad for sizes in pad_widths[::-1] for pad in sizes]) + else: + if array.shape[axis] > length: + array = array.take(indices=range(length), axis=axis) + + if array.shape[axis] < length: + pad_widths = [(0, 0)] * array.ndim + pad_widths[axis] = (0, length - array.shape[axis]) + array = np.pad(array, pad_widths) + + return array + + +@lru_cache(maxsize=None) +def mel_filters(device, n_mels: int = N_MELS) -> torch.Tensor: + """ + load the mel filterbank matrix for projecting STFT into a Mel spectrogram. + Allows decoupling librosa dependency; saved using: + + np.savez_compressed( + "mel_filters.npz", + mel_80=librosa.filters.mel(sr=16000, n_fft=400, n_mels=80), + ) + """ + assert n_mels == 80, f"Unsupported n_mels: {n_mels}" + with np.load(os.path.join(os.path.dirname(__file__), "assets", "mel_filters.npz")) as f: + return torch.from_numpy(f[f"mel_{n_mels}"]).to(device) + + +def log_mel_spectrogram(audio: Union[str, np.ndarray, torch.Tensor], n_mels: int = N_MELS): + """ + Compute the log-Mel spectrogram of + + Parameters + ---------- + audio: Union[str, np.ndarray, torch.Tensor], shape = (*) + The path to audio or either a NumPy array or Tensor containing the audio waveform in 16 kHz + + n_mels: int + The number of Mel-frequency filters, only 80 is supported + + Returns + ------- + torch.Tensor, shape = (80, n_frames) + A Tensor that contains the Mel spectrogram + """ + if not torch.is_tensor(audio): + if isinstance(audio, str): + audio = load_audio(audio) + audio = torch.from_numpy(audio) + + window = torch.hann_window(N_FFT).to(audio.device) + stft = torch.stft(audio, N_FFT, HOP_LENGTH, window=window, return_complex=True) + + magnitudes = stft[:, :-1].abs() ** 2 + + filters = mel_filters(audio.device, n_mels) + mel_spec = filters @ magnitudes + + log_spec = torch.clamp(mel_spec, min=1e-10).log10() + log_spec = torch.maximum(log_spec, log_spec.max() - 8.0) + log_spec = (log_spec + 4.0) / 4.0 + return log_spec diff --git a/Musetalk/musetalk/whisper/whisper/decoding.py b/Musetalk/musetalk/whisper/whisper/decoding.py new file mode 100644 index 0000000000000000000000000000000000000000..183505481e40a4f3779933e5fde8086d79e4cc39 --- /dev/null +++ b/Musetalk/musetalk/whisper/whisper/decoding.py @@ -0,0 +1,729 @@ +from dataclasses import dataclass, field +from typing import Dict, List, Tuple, Iterable, Optional, Sequence, Union, TYPE_CHECKING + +import numpy as np +import torch +import torch.nn.functional as F +from torch import Tensor +from torch.distributions import Categorical + +from .audio import CHUNK_LENGTH +from .tokenizer import Tokenizer, get_tokenizer +from .utils import compression_ratio + +if TYPE_CHECKING: + from .model import Whisper + + +@torch.no_grad() +def detect_language(model: "Whisper", mel: Tensor, tokenizer: Tokenizer = None) -> Tuple[Tensor, List[dict]]: + """ + Detect the spoken language in the audio, and return them as list of strings, along with the ids + of the most probable language tokens and the probability distribution over all language tokens. + This is performed outside the main decode loop in order to not interfere with kv-caching. + + Returns + ------- + language_tokens : Tensor, shape = (n_audio,) + ids of the most probable language tokens, which appears after the startoftranscript token. + language_probs : List[Dict[str, float]], length = n_audio + list of dictionaries containing the probability distribution over all languages. + """ + if tokenizer is None: + tokenizer = get_tokenizer(model.is_multilingual) + if tokenizer.language is None or tokenizer.language_token not in tokenizer.sot_sequence: + raise ValueError(f"This model doesn't have language tokens so it can't perform lang id") + + single = mel.ndim == 2 + if single: + mel = mel.unsqueeze(0) + + # skip encoder forward pass if already-encoded audio features were given + if mel.shape[-2:] != (model.dims.n_audio_ctx, model.dims.n_audio_state): + mel = model.encoder(mel) + + # forward pass using a single token, startoftranscript + n_audio = mel.shape[0] + x = torch.tensor([[tokenizer.sot]] * n_audio).to(mel.device) # [n_audio, 1] + logits = model.logits(x, mel)[:, 0] + + # collect detected languages; suppress all non-language tokens + mask = torch.ones(logits.shape[-1], dtype=torch.bool) + mask[list(tokenizer.all_language_tokens)] = False + logits[:, mask] = -np.inf + language_tokens = logits.argmax(dim=-1) + language_token_probs = logits.softmax(dim=-1).cpu() + language_probs = [ + { + c: language_token_probs[i, j].item() + for j, c in zip(tokenizer.all_language_tokens, tokenizer.all_language_codes) + } + for i in range(n_audio) + ] + + if single: + language_tokens = language_tokens[0] + language_probs = language_probs[0] + + return language_tokens, language_probs + + +@dataclass(frozen=True) +class DecodingOptions: + task: str = "transcribe" # whether to perform X->X "transcribe" or X->English "translate" + language: Optional[str] = None # language that the audio is in; uses detected language if None + + # sampling-related options + temperature: float = 0.0 + sample_len: Optional[int] = None # maximum number of tokens to sample + best_of: Optional[int] = None # number of independent samples to collect, when t > 0 + beam_size: Optional[int] = None # number of beams in beam search, when t == 0 + patience: Optional[float] = None # patience in beam search (https://arxiv.org/abs/2204.05424) + + # options for ranking generations (either beams or best-of-N samples) + length_penalty: Optional[float] = None # "alpha" in Google NMT, None defaults to length norm + + # prompt, prefix, and token suppression + prompt: Optional[Union[str, List[int]]] = None # text or tokens for the previous context + prefix: Optional[Union[str, List[int]]] = None # text or tokens to prefix the current context + suppress_blank: bool = True # this will suppress blank outputs + + # list of tokens ids (or comma-separated token ids) to suppress + # "-1" will suppress a set of symbols as defined in `tokenizer.non_speech_tokens()` + suppress_tokens: Optional[Union[str, Iterable[int]]] = "-1" + + # timestamp sampling options + without_timestamps: bool = False # use <|notimestamps|> to sample text tokens only + max_initial_timestamp: Optional[float] = 1.0 # the initial timestamp cannot be later than this + + # implementation details + fp16: bool = True # use fp16 for most of the calculation + + +@dataclass(frozen=True) +class DecodingResult: + audio_features: Tensor + language: str + encoder_embeddings: np.ndarray + decoder_embeddings: np.ndarray + language_probs: Optional[Dict[str, float]] = None + tokens: List[int] = field(default_factory=list) + text: str = "" + avg_logprob: float = np.nan + no_speech_prob: float = np.nan + temperature: float = np.nan + compression_ratio: float = np.nan + + +class Inference: + def logits(self, tokens: Tensor, audio_features: Tensor) -> Tensor: + """Perform a forward pass on the decoder and return per-token logits""" + raise NotImplementedError + + def rearrange_kv_cache(self, source_indices) -> None: + """Update the key-value cache according to the updated beams""" + raise NotImplementedError + + def cleanup_caching(self) -> None: + """Clean up any resources or hooks after decoding is finished""" + pass + + +class PyTorchInference(Inference): + def __init__(self, model: "Whisper", initial_token_length: int): + self.model: "Whisper" = model + self.initial_token_length = initial_token_length + self.kv_cache = {} + self.hooks = [] + + def logits(self, tokens: Tensor, audio_features: Tensor, include_embeddings=False) -> Tensor: + if not self.kv_cache: + self.kv_cache, self.hooks = self.model.install_kv_cache_hooks() + + if tokens.shape[-1] > self.initial_token_length: + # only need to use the last token except in the first forward pass + tokens = tokens[:, -1:] + + return_val = self.model.decoder(tokens, audio_features, + kv_cache=self.kv_cache, include_embeddings=include_embeddings) + return return_val + + def cleanup_caching(self): + for hook in self.hooks: + hook.remove() + + self.kv_cache = {} + self.hooks = [] + + def rearrange_kv_cache(self, source_indices): + for module, tensor in self.kv_cache.items(): + # update the key/value cache to contain the selected sequences + self.kv_cache[module] = tensor[source_indices].detach() + + +class SequenceRanker: + def rank(self, tokens: List[List[Tensor]], sum_logprobs: List[List[float]]) -> List[int]: + """ + Given a list of groups of samples and their cumulative log probabilities, + return the indices of the samples in each group to select as the final result + """ + raise NotImplementedError + + +class MaximumLikelihoodRanker(SequenceRanker): + """ + Select the sample with the highest log probabilities, penalized using either + a simple length normalization or Google NMT paper's length penalty + """ + + def __init__(self, length_penalty: Optional[float]): + self.length_penalty = length_penalty + + def rank(self, tokens: List[List[Tensor]], sum_logprobs: List[List[float]]): + def scores(logprobs, lengths): + result = [] + for logprob, length in zip(logprobs, lengths): + if self.length_penalty is None: + penalty = length + else: + # from the Google NMT paper + penalty = ((5 + length) / 6) ** self.length_penalty + result.append(logprob / penalty) + return result + + # get the sequence with the highest score + lengths = [[len(t) for t in s] for s in tokens] + return [np.argmax(scores(p, l)) for p, l in zip(sum_logprobs, lengths)] + + +class TokenDecoder: + def reset(self): + """Initialize any stateful variables for decoding a new sequence""" + + def update(self, tokens: Tensor, logits: Tensor, sum_logprobs: Tensor) -> Tuple[Tensor, bool]: + """Specify how to select the next token, based on the current trace and logits + + Parameters + ---------- + tokens : Tensor, shape = (n_batch, current_sequence_length) + all tokens in the context so far, including the prefix and sot_sequence tokens + + logits : Tensor, shape = (n_batch, vocab_size) + per-token logits of the probability distribution at the current step + + sum_logprobs : Tensor, shape = (n_batch) + cumulative log probabilities for each sequence + + Returns + ------- + tokens : Tensor, shape = (n_batch, current_sequence_length + 1) + the tokens, appended with the selected next token + + completed : bool + True if all sequences has reached the end of text + + """ + raise NotImplementedError + + def finalize( + self, tokens: Tensor, sum_logprobs: Tensor + ) -> Tuple[Sequence[Sequence[Tensor]], List[List[float]]]: + """Finalize search and return the final candidate sequences + + Parameters + ---------- + tokens : Tensor, shape = (n_audio, n_group, current_sequence_length) + all tokens in the context so far, including the prefix and sot_sequence + + sum_logprobs : Tensor, shape = (n_audio, n_group) + cumulative log probabilities for each sequence + + Returns + ------- + tokens : Sequence[Sequence[Tensor]], length = n_audio + sequence of Tensors containing candidate token sequences, for each audio input + + sum_logprobs : List[List[float]], length = n_audio + sequence of cumulative log probabilities corresponding to the above + + """ + raise NotImplementedError + + +class GreedyDecoder(TokenDecoder): + def __init__(self, temperature: float, eot: int): + self.temperature = temperature + self.eot = eot + + def update(self, tokens: Tensor, logits: Tensor, sum_logprobs: Tensor) -> Tuple[Tensor, bool]: + temperature = self.temperature + if temperature == 0: + next_tokens = logits.argmax(dim=-1) + else: + next_tokens = Categorical(logits=logits / temperature).sample() + + logprobs = F.log_softmax(logits.float(), dim=-1) + current_logprobs = logprobs[torch.arange(logprobs.shape[0]), next_tokens] + sum_logprobs += current_logprobs * (tokens[:, -1] != self.eot) + + next_tokens[tokens[:, -1] == self.eot] = self.eot + tokens = torch.cat([tokens, next_tokens[:, None]], dim=-1) + + completed = (tokens[:, -1] == self.eot).all() + return tokens, completed + + def finalize(self, tokens: Tensor, sum_logprobs: Tensor): + # make sure each sequence has at least one EOT token at the end + tokens = F.pad(tokens, (0, 1), value=self.eot) + return tokens, sum_logprobs.tolist() + + +class BeamSearchDecoder(TokenDecoder): + def __init__(self, beam_size: int, eot: int, inference: Inference, patience: Optional[float] = None): + self.beam_size = beam_size + self.eot = eot + self.inference = inference + self.patience = patience or 1.0 + self.max_candidates: int = round(beam_size * self.patience) + self.finished_sequences = None + + assert self.max_candidates > 0, f"Invalid beam size ({beam_size}) or patience ({patience})" + + def reset(self): + self.finished_sequences = None + + def update(self, tokens: Tensor, logits: Tensor, sum_logprobs: Tensor) -> Tuple[Tensor, bool]: + if tokens.shape[0] % self.beam_size != 0: + raise ValueError(f"{tokens.shape}[0] % {self.beam_size} != 0") + + n_audio = tokens.shape[0] // self.beam_size + if self.finished_sequences is None: # for the first update + self.finished_sequences = [{} for _ in range(n_audio)] + + logprobs = F.log_softmax(logits.float(), dim=-1) + next_tokens, source_indices, finished_sequences = [], [], [] + for i in range(n_audio): + scores, sources, finished = {}, {}, {} + + # STEP 1: calculate the cumulative log probabilities for possible candidates + for j in range(self.beam_size): + idx = i * self.beam_size + j + prefix = tokens[idx].tolist() + for logprob, token in zip(*logprobs[idx].topk(self.beam_size + 1)): + new_logprob = (sum_logprobs[idx] + logprob).item() + sequence = tuple(prefix + [token.item()]) + scores[sequence] = new_logprob + sources[sequence] = idx + + # STEP 2: rank the candidates and keep the top beam_size sequences for each audio + saved = 0 + for sequence in sorted(scores, key=scores.get, reverse=True): + if sequence[-1] == self.eot: + finished[sequence] = scores[sequence] + else: + sum_logprobs[len(next_tokens)] = scores[sequence] + next_tokens.append(sequence) + source_indices.append(sources[sequence]) + + saved += 1 + if saved == self.beam_size: + break + + finished_sequences.append(finished) + + tokens = torch.tensor(next_tokens, device=tokens.device) + self.inference.rearrange_kv_cache(source_indices) + + # add newly finished sequences to self.finished_sequences + assert len(self.finished_sequences) == len(finished_sequences) + for previously_finished, newly_finished in zip(self.finished_sequences, finished_sequences): + for seq in sorted(newly_finished, key=newly_finished.get, reverse=True): + if len(previously_finished) >= self.max_candidates: + break # the candidate list is full + previously_finished[seq] = newly_finished[seq] + + # mark as completed if all audio has enough number of samples + completed = all( + len(sequences) >= self.max_candidates for sequences in self.finished_sequences + ) + return tokens, completed + + def finalize(self, preceding_tokens: Tensor, sum_logprobs: Tensor): + # collect all finished sequences, including patience, and add unfinished ones if not enough + sum_logprobs = sum_logprobs.cpu() + for i, sequences in enumerate(self.finished_sequences): + if len(sequences) < self.beam_size: # when not enough sequences are finished + for j in list(np.argsort(sum_logprobs[i]))[::-1]: + sequence = preceding_tokens[i, j].tolist() + [self.eot] + sequences[tuple(sequence)] = sum_logprobs[i][j].item() + if len(sequences) >= self.beam_size: + break + + tokens: List[List[Tensor]] = [ + [torch.tensor(seq) for seq in sequences.keys()] for sequences in self.finished_sequences + ] + sum_logprobs: List[List[float]] = [ + list(sequences.values()) for sequences in self.finished_sequences + ] + return tokens, sum_logprobs + + +class LogitFilter: + def apply(self, logits: Tensor, tokens: Tensor) -> None: + """Apply any filtering or masking to logits in-place + + Parameters + ---------- + logits : Tensor, shape = (n_batch, vocab_size) + per-token logits of the probability distribution at the current step + + tokens : Tensor, shape = (n_batch, current_sequence_length) + all tokens in the context so far, including the prefix and sot_sequence tokens + + """ + raise NotImplementedError + + +class SuppressBlank(LogitFilter): + def __init__(self, tokenizer: Tokenizer, sample_begin: int): + self.tokenizer = tokenizer + self.sample_begin = sample_begin + + def apply(self, logits: Tensor, tokens: Tensor): + if tokens.shape[1] == self.sample_begin: + logits[:, self.tokenizer.encode(" ") + [self.tokenizer.eot]] = -np.inf + + +class SuppressTokens(LogitFilter): + def __init__(self, suppress_tokens: Sequence[int]): + self.suppress_tokens = list(suppress_tokens) + + def apply(self, logits: Tensor, tokens: Tensor): + logits[:, self.suppress_tokens] = -np.inf + + +class ApplyTimestampRules(LogitFilter): + def __init__( + self, tokenizer: Tokenizer, sample_begin: int, max_initial_timestamp_index: Optional[int] + ): + self.tokenizer = tokenizer + self.sample_begin = sample_begin + self.max_initial_timestamp_index = max_initial_timestamp_index + + def apply(self, logits: Tensor, tokens: Tensor): + # suppress <|notimestamps|> which is handled by without_timestamps + if self.tokenizer.no_timestamps is not None: + logits[:, self.tokenizer.no_timestamps] = -np.inf + + # timestamps have to appear in pairs, except directly before EOT; mask logits accordingly + for k in range(tokens.shape[0]): + seq = [t for t in tokens[k, self.sample_begin :].tolist()] + last_was_timestamp = len(seq) >= 1 and seq[-1] >= self.tokenizer.timestamp_begin + penultimate_was_timestamp = len(seq) < 2 or seq[-2] >= self.tokenizer.timestamp_begin + + if last_was_timestamp: + if penultimate_was_timestamp: # has to be non-timestamp + logits[k, self.tokenizer.timestamp_begin :] = -np.inf + else: # cannot be normal text tokens + logits[k, : self.tokenizer.eot] = -np.inf + + # apply the `max_initial_timestamp` option + if tokens.shape[1] == self.sample_begin and self.max_initial_timestamp_index is not None: + last_allowed = self.tokenizer.timestamp_begin + self.max_initial_timestamp_index + logits[:, last_allowed + 1 :] = -np.inf + + # if sum of probability over timestamps is above any other token, sample timestamp + logprobs = F.log_softmax(logits.float(), dim=-1) + for k in range(tokens.shape[0]): + timestamp_logprob = logprobs[k, self.tokenizer.timestamp_begin :].logsumexp(dim=-1) + max_text_token_logprob = logprobs[k, : self.tokenizer.timestamp_begin].max() + if timestamp_logprob > max_text_token_logprob: + logits[k, : self.tokenizer.timestamp_begin] = -np.inf + + +class DecodingTask: + inference: Inference + sequence_ranker: SequenceRanker + decoder: TokenDecoder + logit_filters: List[LogitFilter] + + def __init__(self, model: "Whisper", options: DecodingOptions): + self.model = model + + language = options.language or "en" + tokenizer = get_tokenizer(model.is_multilingual, language=language, task=options.task) + self.tokenizer: Tokenizer = tokenizer + self.options: DecodingOptions = self._verify_options(options) + + self.n_group: int = options.beam_size or options.best_of or 1 + self.n_ctx: int = model.dims.n_text_ctx + self.sample_len: int = options.sample_len or model.dims.n_text_ctx // 2 + + self.sot_sequence: Tuple[int] = tokenizer.sot_sequence + if self.options.without_timestamps: + self.sot_sequence = tokenizer.sot_sequence_including_notimestamps + + self.initial_tokens: Tuple[int] = self._get_initial_tokens() + self.sample_begin: int = len(self.initial_tokens) + self.sot_index: int = self.initial_tokens.index(tokenizer.sot) + + # inference: implements the forward pass through the decoder, including kv caching + self.inference = PyTorchInference(model, len(self.initial_tokens)) + + # sequence ranker: implements how to rank a group of sampled sequences + self.sequence_ranker = MaximumLikelihoodRanker(options.length_penalty) + + # decoder: implements how to select the next tokens, given the autoregressive distribution + if options.beam_size is not None: + self.decoder = BeamSearchDecoder( + options.beam_size, tokenizer.eot, self.inference, options.patience + ) + else: + self.decoder = GreedyDecoder(options.temperature, tokenizer.eot) + + # logit filters: applies various rules to suppress or penalize certain tokens + self.logit_filters = [] + if self.options.suppress_blank: + self.logit_filters.append(SuppressBlank(self.tokenizer, self.sample_begin)) + if self.options.suppress_tokens: + self.logit_filters.append(SuppressTokens(self._get_suppress_tokens())) + if not options.without_timestamps: + precision = CHUNK_LENGTH / model.dims.n_audio_ctx # usually 0.02 seconds + max_initial_timestamp_index = None + if options.max_initial_timestamp: + max_initial_timestamp_index = round(self.options.max_initial_timestamp / precision) + self.logit_filters.append( + ApplyTimestampRules(tokenizer, self.sample_begin, max_initial_timestamp_index) + ) + + def _verify_options(self, options: DecodingOptions) -> DecodingOptions: + if options.beam_size is not None and options.best_of is not None: + raise ValueError("beam_size and best_of can't be given together") + if options.temperature == 0: + if options.best_of is not None: + raise ValueError("best_of with greedy sampling (T=0) is not compatible") + if options.patience is not None and options.beam_size is None: + raise ValueError("patience requires beam_size to be given") + if options.length_penalty is not None and not (0 <= options.length_penalty <= 1): + raise ValueError("length_penalty (alpha) should be a value between 0 and 1") + + return options + + def _get_initial_tokens(self) -> Tuple[int]: + tokens = list(self.sot_sequence) + prefix = self.options.prefix + prompt = self.options.prompt + + if prefix: + prefix_tokens = ( + self.tokenizer.encode(" " + prefix.strip()) if isinstance(prefix, str) else prefix + ) + if self.sample_len is not None: + max_prefix_len = self.n_ctx // 2 - self.sample_len + prefix_tokens = prefix_tokens[-max_prefix_len:] + tokens = tokens + prefix_tokens + + if prompt: + prompt_tokens = ( + self.tokenizer.encode(" " + prompt.strip()) if isinstance(prompt, str) else prompt + ) + tokens = [self.tokenizer.sot_prev] + prompt_tokens[-(self.n_ctx // 2 - 1) :] + tokens + + return tuple(tokens) + + def _get_suppress_tokens(self) -> Tuple[int]: + suppress_tokens = self.options.suppress_tokens + + if isinstance(suppress_tokens, str): + suppress_tokens = [int(t) for t in suppress_tokens.split(",")] + + if -1 in suppress_tokens: + suppress_tokens = [t for t in suppress_tokens if t >= 0] + suppress_tokens.extend(self.tokenizer.non_speech_tokens) + elif suppress_tokens is None or len(suppress_tokens) == 0: + suppress_tokens = [] # interpret empty string as an empty list + else: + assert isinstance(suppress_tokens, list), "suppress_tokens must be a list" + + suppress_tokens.extend( + [self.tokenizer.sot, self.tokenizer.sot_prev, self.tokenizer.sot_lm] + ) + if self.tokenizer.no_speech is not None: + # no-speech probability is collected separately + suppress_tokens.append(self.tokenizer.no_speech) + + return tuple(sorted(set(suppress_tokens))) + + def _get_audio_features(self, mel: Tensor, include_embeddings: bool = False): + if self.options.fp16: + mel = mel.half() + + if mel.shape[-2:] == (self.model.dims.n_audio_ctx, self.model.dims.n_audio_state): + # encoded audio features are given; skip audio encoding + audio_features = mel + else: + result = self.model.encoder(mel, include_embeddings) + if include_embeddings: + audio_features, embeddings = result + else: + audio_features = result + + if audio_features.dtype != (torch.float16 if self.options.fp16 else torch.float32): + return TypeError(f"audio_features has an incorrect dtype: {audio_features.dtype}") + + if include_embeddings: + return audio_features, embeddings + else: + return audio_features + + def _detect_language(self, audio_features: Tensor, tokens: Tensor): + languages = [self.options.language] * audio_features.shape[0] + lang_probs = None + + if self.options.language is None or self.options.task == "lang_id": + lang_tokens, lang_probs = self.model.detect_language(audio_features, self.tokenizer) + languages = [max(probs, key=probs.get) for probs in lang_probs] + if self.options.language is None: + tokens[:, self.sot_index + 1] = lang_tokens # write language tokens + + return languages, lang_probs + + def _main_loop(self, audio_features: Tensor, tokens: Tensor): + assert audio_features.shape[0] == tokens.shape[0] + n_batch = tokens.shape[0] + sum_logprobs: Tensor = torch.zeros(n_batch, device=audio_features.device) + no_speech_probs = [np.nan] * n_batch + + try: + embeddings = [] + for i in range(self.sample_len): + logits, token_embeddings = self.inference.logits(tokens, audio_features, include_embeddings=True) + + if i == 0 and self.tokenizer.no_speech is not None: # save no_speech_probs + probs_at_sot = logits[:, self.sot_index].float().softmax(dim=-1) + no_speech_probs = probs_at_sot[:, self.tokenizer.no_speech].tolist() + + # now we need to consider the logits at the last token only + logits = logits[:, -1] + token_embeddings = token_embeddings[:, :, -1] + + # Append embeddings together + embeddings.append(token_embeddings) + + # apply the logit filters, e.g. for suppressing or applying penalty to + for logit_filter in self.logit_filters: + logit_filter.apply(logits, tokens) + + # expand the tokens tensor with the selected next tokens + tokens, completed = self.decoder.update(tokens, logits, sum_logprobs) + + if completed or tokens.shape[-1] > self.n_ctx: + break + finally: + if completed: + embeddings = embeddings[:-1] + embeddings = np.stack(embeddings, 2) + self.inference.cleanup_caching() + + return tokens, sum_logprobs, no_speech_probs, embeddings + + @torch.no_grad() + def run(self, mel: Tensor) -> List[DecodingResult]: + self.decoder.reset() + tokenizer: Tokenizer = self.tokenizer + n_audio: int = mel.shape[0] + + # encoder forward pass + forward_pass: Tuple[Tensor, np.ndarray] = self._get_audio_features(mel, include_embeddings=True) + audio_features, encoder_embeddings = forward_pass + tokens: Tensor = torch.tensor([self.initial_tokens]).repeat(n_audio, 1) + + # detect language if requested, overwriting the language token + languages, language_probs = self._detect_language(audio_features, tokens) + if self.options.task == "lang_id": + return [ + DecodingResult(audio_features=features, language=language, language_probs=probs) + for features, language, probs in zip(audio_features, languages, language_probs) + ] + + # repeat the audio & text tensors by the group size, for beam search or best-of-n sampling + audio_features = audio_features.repeat_interleave(self.n_group, dim=0) + tokens = tokens.repeat_interleave(self.n_group, dim=0).to(audio_features.device) + + # call the main sampling loop + tokens, sum_logprobs, no_speech_probs, decoder_embeddings = self._main_loop(audio_features, tokens) + + # reshape the tensors to have (n_audio, n_group) as the first two dimensions + audio_features = audio_features[:: self.n_group] + no_speech_probs = no_speech_probs[:: self.n_group] + assert audio_features.shape[0] == len(no_speech_probs) == n_audio + + tokens = tokens.reshape(n_audio, self.n_group, -1) + sum_logprobs = sum_logprobs.reshape(n_audio, self.n_group) + + # get the final candidates for each group, and slice between the first sampled token and EOT + tokens, sum_logprobs = self.decoder.finalize(tokens, sum_logprobs) + tokens: List[List[Tensor]] = [ + [t[self.sample_begin : (t == tokenizer.eot).nonzero()[0, 0]] for t in s] for s in tokens + ] + + # select the top-ranked sample in each group + selected = self.sequence_ranker.rank(tokens, sum_logprobs) + tokens: List[List[int]] = [t[i].tolist() for i, t in zip(selected, tokens)] + texts: List[str] = [tokenizer.decode(t).strip() for t in tokens] + + sum_logprobs: List[float] = [lp[i] for i, lp in zip(selected, sum_logprobs)] + avg_logprobs: List[float] = [lp / (len(t) + 1) for t, lp in zip(tokens, sum_logprobs)] + + fields = (texts, languages, tokens, audio_features, avg_logprobs, no_speech_probs) + if len(set(map(len, fields))) != 1: + raise RuntimeError(f"inconsistent result lengths: {list(map(len, fields))}") + + return [ + DecodingResult( + audio_features=features, + language=language, + tokens=tokens, + text=text, + avg_logprob=avg_logprob, + no_speech_prob=no_speech_prob, + temperature=self.options.temperature, + compression_ratio=compression_ratio(text), + encoder_embeddings=encoder_embeddings, + decoder_embeddings=decoder_embeddings + ) + for text, language, tokens, features, avg_logprob, no_speech_prob in zip(*fields) + ] + + +@torch.no_grad() +def decode(model: "Whisper", mel: Tensor, options: DecodingOptions = DecodingOptions()) -> Union[DecodingResult, List[DecodingResult]]: + """ + Performs decoding of 30-second audio segment(s), provided as Mel spectrogram(s). + + Parameters + ---------- + model: Whisper + the Whisper model instance + + mel: torch.Tensor, shape = (80, 3000) or (*, 80, 3000) + A tensor containing the Mel spectrogram(s) + + options: DecodingOptions + A dataclass that contains all necessary options for decoding 30-second segments + + Returns + ------- + result: Union[DecodingResult, List[DecodingResult]] + The result(s) of decoding contained in `DecodingResult` dataclass instance(s) + """ + single = mel.ndim == 2 + if single: + mel = mel.unsqueeze(0) + + result = DecodingTask(model, options).run(mel) + + if single: + result = result[0] + + return result diff --git a/Musetalk/musetalk/whisper/whisper/model.py b/Musetalk/musetalk/whisper/whisper/model.py new file mode 100644 index 0000000000000000000000000000000000000000..acb6a0be88109a884b2c4d0e2d50daaf00870307 --- /dev/null +++ b/Musetalk/musetalk/whisper/whisper/model.py @@ -0,0 +1,290 @@ +from dataclasses import dataclass +from typing import Dict +from typing import Iterable, Optional + +import numpy as np +import torch +import torch.nn.functional as F +from torch import Tensor +from torch import nn + +from .transcribe import transcribe as transcribe_function +from .decoding import detect_language as detect_language_function, decode as decode_function + + +@dataclass +class ModelDimensions: + n_mels: int + n_audio_ctx: int + n_audio_state: int + n_audio_head: int + n_audio_layer: int + n_vocab: int + n_text_ctx: int + n_text_state: int + n_text_head: int + n_text_layer: int + + +class LayerNorm(nn.LayerNorm): + def forward(self, x: Tensor) -> Tensor: + return super().forward(x.float()).type(x.dtype) + + +class Linear(nn.Linear): + def forward(self, x: Tensor) -> Tensor: + return F.linear( + x, self.weight.to(x.dtype), None if self.bias is None else self.bias.to(x.dtype) + ) + + +class Conv1d(nn.Conv1d): + def _conv_forward(self, x: Tensor, weight: Tensor, bias: Optional[Tensor]) -> Tensor: + return super()._conv_forward( + x, weight.to(x.dtype), None if bias is None else bias.to(x.dtype) + ) + + +def sinusoids(length, channels, max_timescale=10000): + """Returns sinusoids for positional embedding""" + assert channels % 2 == 0 + log_timescale_increment = np.log(max_timescale) / (channels // 2 - 1) + inv_timescales = torch.exp(-log_timescale_increment * torch.arange(channels // 2)) + scaled_time = torch.arange(length)[:, np.newaxis] * inv_timescales[np.newaxis, :] + return torch.cat([torch.sin(scaled_time), torch.cos(scaled_time)], dim=1) + + +class MultiHeadAttention(nn.Module): + def __init__(self, n_state: int, n_head: int): + super().__init__() + self.n_head = n_head + self.query = Linear(n_state, n_state) + self.key = Linear(n_state, n_state, bias=False) + self.value = Linear(n_state, n_state) + self.out = Linear(n_state, n_state) + + def forward( + self, + x: Tensor, + xa: Optional[Tensor] = None, + mask: Optional[Tensor] = None, + kv_cache: Optional[dict] = None, + ): + q = self.query(x) + + if kv_cache is None or xa is None: + # hooks, if installed (i.e. kv_cache is not None), will prepend the cached kv tensors; + # otherwise, perform key/value projections for self- or cross-attention as usual. + k = self.key(x if xa is None else xa) + v = self.value(x if xa is None else xa) + else: + # for cross-attention, calculate keys and values once and reuse in subsequent calls. + k = kv_cache.get(self.key, self.key(xa)) + v = kv_cache.get(self.value, self.value(xa)) + + wv = self.qkv_attention(q, k, v, mask) + return self.out(wv) + + def qkv_attention(self, q: Tensor, k: Tensor, v: Tensor, mask: Optional[Tensor] = None): + n_batch, n_ctx, n_state = q.shape + scale = (n_state // self.n_head) ** -0.25 + q = q.view(*q.shape[:2], self.n_head, -1).permute(0, 2, 1, 3) * scale + k = k.view(*k.shape[:2], self.n_head, -1).permute(0, 2, 3, 1) * scale + v = v.view(*v.shape[:2], self.n_head, -1).permute(0, 2, 1, 3) + + qk = q @ k + if mask is not None: + qk = qk + mask[:n_ctx, :n_ctx] + + w = F.softmax(qk.float(), dim=-1).to(q.dtype) + return (w @ v).permute(0, 2, 1, 3).flatten(start_dim=2) + + +class ResidualAttentionBlock(nn.Module): + def __init__(self, n_state: int, n_head: int, cross_attention: bool = False): + super().__init__() + + self.attn = MultiHeadAttention(n_state, n_head) + self.attn_ln = LayerNorm(n_state) + + self.cross_attn = MultiHeadAttention(n_state, n_head) if cross_attention else None + self.cross_attn_ln = LayerNorm(n_state) if cross_attention else None + + n_mlp = n_state * 4 + self.mlp = nn.Sequential(Linear(n_state, n_mlp), nn.GELU(), Linear(n_mlp, n_state)) + self.mlp_ln = LayerNorm(n_state) + + def forward( + self, + x: Tensor, + xa: Optional[Tensor] = None, + mask: Optional[Tensor] = None, + kv_cache: Optional[dict] = None, + ): + x = x + self.attn(self.attn_ln(x), mask=mask, kv_cache=kv_cache) + if self.cross_attn: + x = x + self.cross_attn(self.cross_attn_ln(x), xa, kv_cache=kv_cache) + x = x + self.mlp(self.mlp_ln(x)) + return x + + +class AudioEncoder(nn.Module): + def __init__(self, n_mels: int, n_ctx: int, n_state: int, n_head: int, n_layer: int): + super().__init__() + self.conv1 = Conv1d(n_mels, n_state, kernel_size=3, padding=1) + self.conv2 = Conv1d(n_state, n_state, kernel_size=3, stride=2, padding=1) + self.register_buffer("positional_embedding", sinusoids(n_ctx, n_state)) + + self.blocks: Iterable[ResidualAttentionBlock] = nn.ModuleList( + [ResidualAttentionBlock(n_state, n_head) for _ in range(n_layer)] + ) + self.ln_post = LayerNorm(n_state) + + def forward(self, x: Tensor, include_embeddings: bool = False): + """ + x : torch.Tensor, shape = (batch_size, n_mels, n_ctx) + the mel spectrogram of the audio + include_embeddings: bool + whether to include intermediate steps in the output + """ + x = F.gelu(self.conv1(x)) + x = F.gelu(self.conv2(x)) + x = x.permute(0, 2, 1) + + assert x.shape[1:] == self.positional_embedding.shape, "incorrect audio shape" + x = (x + self.positional_embedding).to(x.dtype) + + if include_embeddings: + embeddings = [x.cpu().detach().numpy()] + + for block in self.blocks: + x = block(x) + if include_embeddings: + embeddings.append(x.cpu().detach().numpy()) + + x = self.ln_post(x) + + if include_embeddings: + embeddings = np.stack(embeddings, axis=1) + return x, embeddings + else: + return x + + +class TextDecoder(nn.Module): + def __init__(self, n_vocab: int, n_ctx: int, n_state: int, n_head: int, n_layer: int): + super().__init__() + + self.token_embedding = nn.Embedding(n_vocab, n_state) + self.positional_embedding = nn.Parameter(torch.empty(n_ctx, n_state)) + + self.blocks: Iterable[ResidualAttentionBlock] = nn.ModuleList( + [ResidualAttentionBlock(n_state, n_head, cross_attention=True) for _ in range(n_layer)] + ) + self.ln = LayerNorm(n_state) + + mask = torch.empty(n_ctx, n_ctx).fill_(-np.inf).triu_(1) + self.register_buffer("mask", mask, persistent=False) + + def forward(self, x: Tensor, xa: Tensor, kv_cache: Optional[dict] = None, include_embeddings: bool = False): + """ + x : torch.LongTensor, shape = (batch_size, <= n_ctx) + the text tokens + xa : torch.Tensor, shape = (batch_size, n_mels, n_audio_ctx) + the encoded audio features to be attended on + include_embeddings : bool + Whether to include intermediate values in the output to this function + """ + offset = next(iter(kv_cache.values())).shape[1] if kv_cache else 0 + x = self.token_embedding(x) + self.positional_embedding[offset : offset + x.shape[-1]] + x = x.to(xa.dtype) + + if include_embeddings: + embeddings = [x.cpu().detach().numpy()] + + for block in self.blocks: + x = block(x, xa, mask=self.mask, kv_cache=kv_cache) + if include_embeddings: + embeddings.append(x.cpu().detach().numpy()) + + x = self.ln(x) + logits = (x @ torch.transpose(self.token_embedding.weight.to(x.dtype), 0, 1)).float() + + if include_embeddings: + embeddings = np.stack(embeddings, axis=1) + return logits, embeddings + else: + return logits + + +class Whisper(nn.Module): + def __init__(self, dims: ModelDimensions): + super().__init__() + self.dims = dims + self.encoder = AudioEncoder( + self.dims.n_mels, + self.dims.n_audio_ctx, + self.dims.n_audio_state, + self.dims.n_audio_head, + self.dims.n_audio_layer, + ) + self.decoder = TextDecoder( + self.dims.n_vocab, + self.dims.n_text_ctx, + self.dims.n_text_state, + self.dims.n_text_head, + self.dims.n_text_layer, + ) + + def embed_audio(self, mel: torch.Tensor): + return self.encoder.forward(mel) + + def logits(self, tokens: torch.Tensor, audio_features: torch.Tensor): + return self.decoder.forward(tokens, audio_features) + + def forward(self, mel: torch.Tensor, tokens: torch.Tensor) -> Dict[str, torch.Tensor]: + return self.decoder(tokens, self.encoder(mel)) + + @property + def device(self): + return next(self.parameters()).device + + @property + def is_multilingual(self): + return self.dims.n_vocab == 51865 + + def install_kv_cache_hooks(self, cache: Optional[dict] = None): + """ + The `MultiHeadAttention` module optionally accepts `kv_cache` which stores the key and value + tensors calculated for the previous positions. This method returns a dictionary that stores + all caches, and the necessary hooks for the key and value projection modules that save the + intermediate tensors to be reused during later calculations. + + Returns + ------- + cache : Dict[nn.Module, torch.Tensor] + A dictionary object mapping the key/value projection modules to its cache + hooks : List[RemovableHandle] + List of PyTorch RemovableHandle objects to stop the hooks to be called + """ + cache = {**cache} if cache is not None else {} + hooks = [] + + def save_to_cache(module, _, output): + if module not in cache or output.shape[1] > self.decoder.positional_embedding.shape[0]: + cache[module] = output # save as-is, for the first token or cross attention + else: + cache[module] = torch.cat([cache[module], output], dim=1).detach() + return cache[module] + + def install_hooks(layer: nn.Module): + if isinstance(layer, MultiHeadAttention): + hooks.append(layer.key.register_forward_hook(save_to_cache)) + hooks.append(layer.value.register_forward_hook(save_to_cache)) + + self.decoder.apply(install_hooks) + return cache, hooks + + detect_language = detect_language_function + transcribe = transcribe_function + decode = decode_function diff --git a/Musetalk/musetalk/whisper/whisper/normalizers/__init__.py b/Musetalk/musetalk/whisper/whisper/normalizers/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..0b10d5a9d6389368fe7f3bac38e3b3cd9cc1470f --- /dev/null +++ b/Musetalk/musetalk/whisper/whisper/normalizers/__init__.py @@ -0,0 +1,2 @@ +from .basic import BasicTextNormalizer +from .english import EnglishTextNormalizer diff --git a/Musetalk/musetalk/whisper/whisper/normalizers/basic.py b/Musetalk/musetalk/whisper/whisper/normalizers/basic.py new file mode 100644 index 0000000000000000000000000000000000000000..ef8d249bfca2cd10bccdd56950504581e2598560 --- /dev/null +++ b/Musetalk/musetalk/whisper/whisper/normalizers/basic.py @@ -0,0 +1,71 @@ +import re +import unicodedata + +import regex + +# non-ASCII letters that are not separated by "NFKD" normalization +ADDITIONAL_DIACRITICS = { + "œ": "oe", + "Œ": "OE", + "ø": "o", + "Ø": "O", + "æ": "ae", + "Æ": "AE", + "ß": "ss", + "ẞ": "SS", + "đ": "d", + "Đ": "D", + "ð": "d", + "Ð": "D", + "þ": "th", + "Þ": "th", + "ł": "l", + "Ł": "L", +} + + +def remove_symbols_and_diacritics(s: str, keep=""): + """ + Replace any other markers, symbols, and punctuations with a space, + and drop any diacritics (category 'Mn' and some manual mappings) + """ + return "".join( + c + if c in keep + else ADDITIONAL_DIACRITICS[c] + if c in ADDITIONAL_DIACRITICS + else "" + if unicodedata.category(c) == "Mn" + else " " + if unicodedata.category(c)[0] in "MSP" + else c + for c in unicodedata.normalize("NFKD", s) + ) + + +def remove_symbols(s: str): + """ + Replace any other markers, symbols, punctuations with a space, keeping diacritics + """ + return "".join( + " " if unicodedata.category(c)[0] in "MSP" else c for c in unicodedata.normalize("NFKC", s) + ) + + +class BasicTextNormalizer: + def __init__(self, remove_diacritics: bool = False, split_letters: bool = False): + self.clean = remove_symbols_and_diacritics if remove_diacritics else remove_symbols + self.split_letters = split_letters + + def __call__(self, s: str): + s = s.lower() + s = re.sub(r"[<\[][^>\]]*[>\]]", "", s) # remove words between brackets + s = re.sub(r"\(([^)]+?)\)", "", s) # remove words between parenthesis + s = self.clean(s).lower() + + if self.split_letters: + s = " ".join(regex.findall(r"\X", s, regex.U)) + + s = re.sub(r"\s+", " ", s) # replace any successive whitespace characters with a space + + return s diff --git a/Musetalk/musetalk/whisper/whisper/normalizers/english.json b/Musetalk/musetalk/whisper/whisper/normalizers/english.json new file mode 100644 index 0000000000000000000000000000000000000000..bd84ae73faeb4dfa75214b99c4b392a51be90336 --- /dev/null +++ b/Musetalk/musetalk/whisper/whisper/normalizers/english.json @@ -0,0 +1,1742 @@ +{ + "accessorise": "accessorize", + "accessorised": "accessorized", + "accessorises": "accessorizes", + "accessorising": "accessorizing", + "acclimatisation": "acclimatization", + "acclimatise": "acclimatize", + "acclimatised": "acclimatized", + "acclimatises": "acclimatizes", + "acclimatising": "acclimatizing", + "accoutrements": "accouterments", + "aeon": "eon", + "aeons": "eons", + "aerogramme": "aerogram", + "aerogrammes": "aerograms", + "aeroplane": "airplane", + "aeroplanes": "airplanes", + "aesthete": "esthete", + "aesthetes": "esthetes", + "aesthetic": "esthetic", + "aesthetically": "esthetically", + "aesthetics": "esthetics", + "aetiology": "etiology", + "ageing": "aging", + "aggrandisement": "aggrandizement", + "agonise": "agonize", + "agonised": "agonized", + "agonises": "agonizes", + "agonising": "agonizing", + "agonisingly": "agonizingly", + "almanack": "almanac", + "almanacks": "almanacs", + "aluminium": "aluminum", + "amortisable": "amortizable", + "amortisation": "amortization", + "amortisations": "amortizations", + "amortise": "amortize", + "amortised": "amortized", + "amortises": "amortizes", + "amortising": "amortizing", + "amphitheatre": "amphitheater", + "amphitheatres": "amphitheaters", + "anaemia": "anemia", + "anaemic": "anemic", + "anaesthesia": "anesthesia", + "anaesthetic": "anesthetic", + "anaesthetics": "anesthetics", + "anaesthetise": "anesthetize", + "anaesthetised": "anesthetized", + "anaesthetises": "anesthetizes", + "anaesthetising": "anesthetizing", + "anaesthetist": "anesthetist", + "anaesthetists": "anesthetists", + "anaesthetize": "anesthetize", + "anaesthetized": "anesthetized", + "anaesthetizes": "anesthetizes", + "anaesthetizing": "anesthetizing", + "analogue": "analog", + "analogues": "analogs", + "analyse": "analyze", + "analysed": "analyzed", + "analyses": "analyzes", + "analysing": "analyzing", + "anglicise": "anglicize", + "anglicised": "anglicized", + "anglicises": "anglicizes", + "anglicising": "anglicizing", + "annualised": "annualized", + "antagonise": "antagonize", + "antagonised": "antagonized", + "antagonises": "antagonizes", + "antagonising": "antagonizing", + "apologise": "apologize", + "apologised": "apologized", + "apologises": "apologizes", + "apologising": "apologizing", + "appal": "appall", + "appals": "appalls", + "appetiser": "appetizer", + "appetisers": "appetizers", + "appetising": "appetizing", + "appetisingly": "appetizingly", + "arbour": "arbor", + "arbours": "arbors", + "archeological": "archaeological", + "archaeologically": "archeologically", + "archaeologist": "archeologist", + "archaeologists": "archeologists", + "archaeology": "archeology", + "ardour": "ardor", + "armour": "armor", + "armoured": "armored", + "armourer": "armorer", + "armourers": "armorers", + "armouries": "armories", + "armoury": "armory", + "artefact": "artifact", + "artefacts": "artifacts", + "authorise": "authorize", + "authorised": "authorized", + "authorises": "authorizes", + "authorising": "authorizing", + "axe": "ax", + "backpedalled": "backpedaled", + "backpedalling": "backpedaling", + "bannister": "banister", + "bannisters": "banisters", + "baptise": "baptize", + "baptised": "baptized", + "baptises": "baptizes", + "baptising": "baptizing", + "bastardise": "bastardize", + "bastardised": "bastardized", + "bastardises": "bastardizes", + "bastardising": "bastardizing", + "battleax": "battleaxe", + "baulk": "balk", + "baulked": "balked", + "baulking": "balking", + "baulks": "balks", + "bedevilled": "bedeviled", + "bedevilling": "bedeviling", + "behaviour": "behavior", + "behavioural": "behavioral", + "behaviourism": "behaviorism", + "behaviourist": "behaviorist", + "behaviourists": "behaviorists", + "behaviours": "behaviors", + "behove": "behoove", + "behoved": "behooved", + "behoves": "behooves", + "bejewelled": "bejeweled", + "belabour": "belabor", + "belaboured": "belabored", + "belabouring": "belaboring", + "belabours": "belabors", + "bevelled": "beveled", + "bevvies": "bevies", + "bevvy": "bevy", + "biassed": "biased", + "biassing": "biasing", + "bingeing": "binging", + "bougainvillaea": "bougainvillea", + "bougainvillaeas": "bougainvilleas", + "bowdlerise": "bowdlerize", + "bowdlerised": "bowdlerized", + "bowdlerises": "bowdlerizes", + "bowdlerising": "bowdlerizing", + "breathalyse": "breathalyze", + "breathalysed": "breathalyzed", + "breathalyser": "breathalyzer", + "breathalysers": "breathalyzers", + "breathalyses": "breathalyzes", + "breathalysing": "breathalyzing", + "brutalise": "brutalize", + "brutalised": "brutalized", + "brutalises": "brutalizes", + "brutalising": "brutalizing", + "busses": "buses", + "bussing": "busing", + "caesarean": "cesarean", + "caesareans": "cesareans", + "calibre": "caliber", + "calibres": "calibers", + "calliper": "caliper", + "callipers": "calipers", + "callisthenics": "calisthenics", + "canalise": "canalize", + "canalised": "canalized", + "canalises": "canalizes", + "canalising": "canalizing", + "cancelation": "cancellation", + "cancelations": "cancellations", + "cancelled": "canceled", + "cancelling": "canceling", + "candour": "candor", + "cannibalise": "cannibalize", + "cannibalised": "cannibalized", + "cannibalises": "cannibalizes", + "cannibalising": "cannibalizing", + "canonise": "canonize", + "canonised": "canonized", + "canonises": "canonizes", + "canonising": "canonizing", + "capitalise": "capitalize", + "capitalised": "capitalized", + "capitalises": "capitalizes", + "capitalising": "capitalizing", + "caramelise": "caramelize", + "caramelised": "caramelized", + "caramelises": "caramelizes", + "caramelising": "caramelizing", + "carbonise": "carbonize", + "carbonised": "carbonized", + "carbonises": "carbonizes", + "carbonising": "carbonizing", + "carolled": "caroled", + "carolling": "caroling", + "catalogue": "catalog", + "catalogued": "cataloged", + "catalogues": "catalogs", + "cataloguing": "cataloging", + "catalyse": "catalyze", + "catalysed": "catalyzed", + "catalyses": "catalyzes", + "catalysing": "catalyzing", + "categorise": "categorize", + "categorised": "categorized", + "categorises": "categorizes", + "categorising": "categorizing", + "cauterise": "cauterize", + "cauterised": "cauterized", + "cauterises": "cauterizes", + "cauterising": "cauterizing", + "cavilled": "caviled", + "cavilling": "caviling", + "centigramme": "centigram", + "centigrammes": "centigrams", + "centilitre": "centiliter", + "centilitres": "centiliters", + "centimetre": "centimeter", + "centimetres": "centimeters", + "centralise": "centralize", + "centralised": "centralized", + "centralises": "centralizes", + "centralising": "centralizing", + "centre": "center", + "centred": "centered", + "centrefold": "centerfold", + "centrefolds": "centerfolds", + "centrepiece": "centerpiece", + "centrepieces": "centerpieces", + "centres": "centers", + "channelled": "channeled", + "channelling": "channeling", + "characterise": "characterize", + "characterised": "characterized", + "characterises": "characterizes", + "characterising": "characterizing", + "cheque": "check", + "chequebook": "checkbook", + "chequebooks": "checkbooks", + "chequered": "checkered", + "cheques": "checks", + "chilli": "chili", + "chimaera": "chimera", + "chimaeras": "chimeras", + "chiselled": "chiseled", + "chiselling": "chiseling", + "circularise": "circularize", + "circularised": "circularized", + "circularises": "circularizes", + "circularising": "circularizing", + "civilise": "civilize", + "civilised": "civilized", + "civilises": "civilizes", + "civilising": "civilizing", + "clamour": "clamor", + "clamoured": "clamored", + "clamouring": "clamoring", + "clamours": "clamors", + "clangour": "clangor", + "clarinettist": "clarinetist", + "clarinettists": "clarinetists", + "collectivise": "collectivize", + "collectivised": "collectivized", + "collectivises": "collectivizes", + "collectivising": "collectivizing", + "colonisation": "colonization", + "colonise": "colonize", + "colonised": "colonized", + "coloniser": "colonizer", + "colonisers": "colonizers", + "colonises": "colonizes", + "colonising": "colonizing", + "colour": "color", + "colourant": "colorant", + "colourants": "colorants", + "coloured": "colored", + "coloureds": "coloreds", + "colourful": "colorful", + "colourfully": "colorfully", + "colouring": "coloring", + "colourize": "colorize", + "colourized": "colorized", + "colourizes": "colorizes", + "colourizing": "colorizing", + "colourless": "colorless", + "colours": "colors", + "commercialise": "commercialize", + "commercialised": "commercialized", + "commercialises": "commercializes", + "commercialising": "commercializing", + "compartmentalise": "compartmentalize", + "compartmentalised": "compartmentalized", + "compartmentalises": "compartmentalizes", + "compartmentalising": "compartmentalizing", + "computerise": "computerize", + "computerised": "computerized", + "computerises": "computerizes", + "computerising": "computerizing", + "conceptualise": "conceptualize", + "conceptualised": "conceptualized", + "conceptualises": "conceptualizes", + "conceptualising": "conceptualizing", + "connexion": "connection", + "connexions": "connections", + "contextualise": "contextualize", + "contextualised": "contextualized", + "contextualises": "contextualizes", + "contextualising": "contextualizing", + "cosier": "cozier", + "cosies": "cozies", + "cosiest": "coziest", + "cosily": "cozily", + "cosiness": "coziness", + "cosy": "cozy", + "councillor": "councilor", + "councillors": "councilors", + "counselled": "counseled", + "counselling": "counseling", + "counsellor": "counselor", + "counsellors": "counselors", + "crenelated": "crenellated", + "criminalise": "criminalize", + "criminalised": "criminalized", + "criminalises": "criminalizes", + "criminalising": "criminalizing", + "criticise": "criticize", + "criticised": "criticized", + "criticises": "criticizes", + "criticising": "criticizing", + "crueller": "crueler", + "cruellest": "cruelest", + "crystallisation": "crystallization", + "crystallise": "crystallize", + "crystallised": "crystallized", + "crystallises": "crystallizes", + "crystallising": "crystallizing", + "cudgelled": "cudgeled", + "cudgelling": "cudgeling", + "customise": "customize", + "customised": "customized", + "customises": "customizes", + "customising": "customizing", + "cypher": "cipher", + "cyphers": "ciphers", + "decentralisation": "decentralization", + "decentralise": "decentralize", + "decentralised": "decentralized", + "decentralises": "decentralizes", + "decentralising": "decentralizing", + "decriminalisation": "decriminalization", + "decriminalise": "decriminalize", + "decriminalised": "decriminalized", + "decriminalises": "decriminalizes", + "decriminalising": "decriminalizing", + "defence": "defense", + "defenceless": "defenseless", + "defences": "defenses", + "dehumanisation": "dehumanization", + "dehumanise": "dehumanize", + "dehumanised": "dehumanized", + "dehumanises": "dehumanizes", + "dehumanising": "dehumanizing", + "demeanour": "demeanor", + "demilitarisation": "demilitarization", + "demilitarise": "demilitarize", + "demilitarised": "demilitarized", + "demilitarises": "demilitarizes", + "demilitarising": "demilitarizing", + "demobilisation": "demobilization", + "demobilise": "demobilize", + "demobilised": "demobilized", + "demobilises": "demobilizes", + "demobilising": "demobilizing", + "democratisation": "democratization", + "democratise": "democratize", + "democratised": "democratized", + "democratises": "democratizes", + "democratising": "democratizing", + "demonise": "demonize", + "demonised": "demonized", + "demonises": "demonizes", + "demonising": "demonizing", + "demoralisation": "demoralization", + "demoralise": "demoralize", + "demoralised": "demoralized", + "demoralises": "demoralizes", + "demoralising": "demoralizing", + "denationalisation": "denationalization", + "denationalise": "denationalize", + "denationalised": "denationalized", + "denationalises": "denationalizes", + "denationalising": "denationalizing", + "deodorise": "deodorize", + "deodorised": "deodorized", + "deodorises": "deodorizes", + "deodorising": "deodorizing", + "depersonalise": "depersonalize", + "depersonalised": "depersonalized", + "depersonalises": "depersonalizes", + "depersonalising": "depersonalizing", + "deputise": "deputize", + "deputised": "deputized", + "deputises": "deputizes", + "deputising": "deputizing", + "desensitisation": "desensitization", + "desensitise": "desensitize", + "desensitised": "desensitized", + "desensitises": "desensitizes", + "desensitising": "desensitizing", + "destabilisation": "destabilization", + "destabilise": "destabilize", + "destabilised": "destabilized", + "destabilises": "destabilizes", + "destabilising": "destabilizing", + "dialled": "dialed", + "dialling": "dialing", + "dialogue": "dialog", + "dialogues": "dialogs", + "diarrhoea": "diarrhea", + "digitise": "digitize", + "digitised": "digitized", + "digitises": "digitizes", + "digitising": "digitizing", + "disc": "disk", + "discolour": "discolor", + "discoloured": "discolored", + "discolouring": "discoloring", + "discolours": "discolors", + "discs": "disks", + "disembowelled": "disemboweled", + "disembowelling": "disemboweling", + "disfavour": "disfavor", + "dishevelled": "disheveled", + "dishonour": "dishonor", + "dishonourable": "dishonorable", + "dishonourably": "dishonorably", + "dishonoured": "dishonored", + "dishonouring": "dishonoring", + "dishonours": "dishonors", + "disorganisation": "disorganization", + "disorganised": "disorganized", + "distil": "distill", + "distils": "distills", + "dramatisation": "dramatization", + "dramatisations": "dramatizations", + "dramatise": "dramatize", + "dramatised": "dramatized", + "dramatises": "dramatizes", + "dramatising": "dramatizing", + "draught": "draft", + "draughtboard": "draftboard", + "draughtboards": "draftboards", + "draughtier": "draftier", + "draughtiest": "draftiest", + "draughts": "drafts", + "draughtsman": "draftsman", + "draughtsmanship": "draftsmanship", + "draughtsmen": "draftsmen", + "draughtswoman": "draftswoman", + "draughtswomen": "draftswomen", + "draughty": "drafty", + "drivelled": "driveled", + "drivelling": "driveling", + "duelled": "dueled", + "duelling": "dueling", + "economise": "economize", + "economised": "economized", + "economises": "economizes", + "economising": "economizing", + "edoema": "edema", + "editorialise": "editorialize", + "editorialised": "editorialized", + "editorialises": "editorializes", + "editorialising": "editorializing", + "empathise": "empathize", + "empathised": "empathized", + "empathises": "empathizes", + "empathising": "empathizing", + "emphasise": "emphasize", + "emphasised": "emphasized", + "emphasises": "emphasizes", + "emphasising": "emphasizing", + "enamelled": "enameled", + "enamelling": "enameling", + "enamoured": "enamored", + "encyclopaedia": "encyclopedia", + "encyclopaedias": "encyclopedias", + "encyclopaedic": "encyclopedic", + "endeavour": "endeavor", + "endeavoured": "endeavored", + "endeavouring": "endeavoring", + "endeavours": "endeavors", + "energise": "energize", + "energised": "energized", + "energises": "energizes", + "energising": "energizing", + "enrol": "enroll", + "enrols": "enrolls", + "enthral": "enthrall", + "enthrals": "enthralls", + "epaulette": "epaulet", + "epaulettes": "epaulets", + "epicentre": "epicenter", + "epicentres": "epicenters", + "epilogue": "epilog", + "epilogues": "epilogs", + "epitomise": "epitomize", + "epitomised": "epitomized", + "epitomises": "epitomizes", + "epitomising": "epitomizing", + "equalisation": "equalization", + "equalise": "equalize", + "equalised": "equalized", + "equaliser": "equalizer", + "equalisers": "equalizers", + "equalises": "equalizes", + "equalising": "equalizing", + "eulogise": "eulogize", + "eulogised": "eulogized", + "eulogises": "eulogizes", + "eulogising": "eulogizing", + "evangelise": "evangelize", + "evangelised": "evangelized", + "evangelises": "evangelizes", + "evangelising": "evangelizing", + "exorcise": "exorcize", + "exorcised": "exorcized", + "exorcises": "exorcizes", + "exorcising": "exorcizing", + "extemporisation": "extemporization", + "extemporise": "extemporize", + "extemporised": "extemporized", + "extemporises": "extemporizes", + "extemporising": "extemporizing", + "externalisation": "externalization", + "externalisations": "externalizations", + "externalise": "externalize", + "externalised": "externalized", + "externalises": "externalizes", + "externalising": "externalizing", + "factorise": "factorize", + "factorised": "factorized", + "factorises": "factorizes", + "factorising": "factorizing", + "faecal": "fecal", + "faeces": "feces", + "familiarisation": "familiarization", + "familiarise": "familiarize", + "familiarised": "familiarized", + "familiarises": "familiarizes", + "familiarising": "familiarizing", + "fantasise": "fantasize", + "fantasised": "fantasized", + "fantasises": "fantasizes", + "fantasising": "fantasizing", + "favour": "favor", + "favourable": "favorable", + "favourably": "favorably", + "favoured": "favored", + "favouring": "favoring", + "favourite": "favorite", + "favourites": "favorites", + "favouritism": "favoritism", + "favours": "favors", + "feminise": "feminize", + "feminised": "feminized", + "feminises": "feminizes", + "feminising": "feminizing", + "fertilisation": "fertilization", + "fertilise": "fertilize", + "fertilised": "fertilized", + "fertiliser": "fertilizer", + "fertilisers": "fertilizers", + "fertilises": "fertilizes", + "fertilising": "fertilizing", + "fervour": "fervor", + "fibre": "fiber", + "fibreglass": "fiberglass", + "fibres": "fibers", + "fictionalisation": "fictionalization", + "fictionalisations": "fictionalizations", + "fictionalise": "fictionalize", + "fictionalised": "fictionalized", + "fictionalises": "fictionalizes", + "fictionalising": "fictionalizing", + "fillet": "filet", + "filleted": "fileted", + "filleting": "fileting", + "fillets": "filets", + "finalisation": "finalization", + "finalise": "finalize", + "finalised": "finalized", + "finalises": "finalizes", + "finalising": "finalizing", + "flautist": "flutist", + "flautists": "flutists", + "flavour": "flavor", + "flavoured": "flavored", + "flavouring": "flavoring", + "flavourings": "flavorings", + "flavourless": "flavorless", + "flavours": "flavors", + "flavoursome": "flavorsome", + "flyer / flier": "flier / flyer", + "foetal": "fetal", + "foetid": "fetid", + "foetus": "fetus", + "foetuses": "fetuses", + "formalisation": "formalization", + "formalise": "formalize", + "formalised": "formalized", + "formalises": "formalizes", + "formalising": "formalizing", + "fossilisation": "fossilization", + "fossilise": "fossilize", + "fossilised": "fossilized", + "fossilises": "fossilizes", + "fossilising": "fossilizing", + "fraternisation": "fraternization", + "fraternise": "fraternize", + "fraternised": "fraternized", + "fraternises": "fraternizes", + "fraternising": "fraternizing", + "fulfil": "fulfill", + "fulfilment": "fulfillment", + "fulfils": "fulfills", + "funnelled": "funneled", + "funnelling": "funneling", + "galvanise": "galvanize", + "galvanised": "galvanized", + "galvanises": "galvanizes", + "galvanising": "galvanizing", + "gambolled": "gamboled", + "gambolling": "gamboling", + "gaol": "jail", + "gaolbird": "jailbird", + "gaolbirds": "jailbirds", + "gaolbreak": "jailbreak", + "gaolbreaks": "jailbreaks", + "gaoled": "jailed", + "gaoler": "jailer", + "gaolers": "jailers", + "gaoling": "jailing", + "gaols": "jails", + "gasses": "gases", + "gage": "gauge", + "gaged": "gauged", + "gages": "gauges", + "gaging": "gauging", + "generalisation": "generalization", + "generalisations": "generalizations", + "generalise": "generalize", + "generalised": "generalized", + "generalises": "generalizes", + "generalising": "generalizing", + "ghettoise": "ghettoize", + "ghettoised": "ghettoized", + "ghettoises": "ghettoizes", + "ghettoising": "ghettoizing", + "gipsies": "gypsies", + "glamorise": "glamorize", + "glamorised": "glamorized", + "glamorises": "glamorizes", + "glamorising": "glamorizing", + "glamor": "glamour", + "globalisation": "globalization", + "globalise": "globalize", + "globalised": "globalized", + "globalises": "globalizes", + "globalising": "globalizing", + "glueing": "gluing", + "goitre": "goiter", + "goitres": "goiters", + "gonorrhoea": "gonorrhea", + "gramme": "gram", + "grammes": "grams", + "gravelled": "graveled", + "grey": "gray", + "greyed": "grayed", + "greying": "graying", + "greyish": "grayish", + "greyness": "grayness", + "greys": "grays", + "grovelled": "groveled", + "grovelling": "groveling", + "groyne": "groin", + "groynes": "groins", + "gruelling": "grueling", + "gruellingly": "gruelingly", + "gryphon": "griffin", + "gryphons": "griffins", + "gynaecological": "gynecological", + "gynaecologist": "gynecologist", + "gynaecologists": "gynecologists", + "gynaecology": "gynecology", + "haematological": "hematological", + "haematologist": "hematologist", + "haematologists": "hematologists", + "haematology": "hematology", + "haemoglobin": "hemoglobin", + "haemophilia": "hemophilia", + "haemophiliac": "hemophiliac", + "haemophiliacs": "hemophiliacs", + "haemorrhage": "hemorrhage", + "haemorrhaged": "hemorrhaged", + "haemorrhages": "hemorrhages", + "haemorrhaging": "hemorrhaging", + "haemorrhoids": "hemorrhoids", + "harbour": "harbor", + "harboured": "harbored", + "harbouring": "harboring", + "harbours": "harbors", + "harmonisation": "harmonization", + "harmonise": "harmonize", + "harmonised": "harmonized", + "harmonises": "harmonizes", + "harmonising": "harmonizing", + "homoeopath": "homeopath", + "homoeopathic": "homeopathic", + "homoeopaths": "homeopaths", + "homoeopathy": "homeopathy", + "homogenise": "homogenize", + "homogenised": "homogenized", + "homogenises": "homogenizes", + "homogenising": "homogenizing", + "honour": "honor", + "honourable": "honorable", + "honourably": "honorably", + "honoured": "honored", + "honouring": "honoring", + "honours": "honors", + "hospitalisation": "hospitalization", + "hospitalise": "hospitalize", + "hospitalised": "hospitalized", + "hospitalises": "hospitalizes", + "hospitalising": "hospitalizing", + "humanise": "humanize", + "humanised": "humanized", + "humanises": "humanizes", + "humanising": "humanizing", + "humour": "humor", + "humoured": "humored", + "humouring": "humoring", + "humourless": "humorless", + "humours": "humors", + "hybridise": "hybridize", + "hybridised": "hybridized", + "hybridises": "hybridizes", + "hybridising": "hybridizing", + "hypnotise": "hypnotize", + "hypnotised": "hypnotized", + "hypnotises": "hypnotizes", + "hypnotising": "hypnotizing", + "hypothesise": "hypothesize", + "hypothesised": "hypothesized", + "hypothesises": "hypothesizes", + "hypothesising": "hypothesizing", + "idealisation": "idealization", + "idealise": "idealize", + "idealised": "idealized", + "idealises": "idealizes", + "idealising": "idealizing", + "idolise": "idolize", + "idolised": "idolized", + "idolises": "idolizes", + "idolising": "idolizing", + "immobilisation": "immobilization", + "immobilise": "immobilize", + "immobilised": "immobilized", + "immobiliser": "immobilizer", + "immobilisers": "immobilizers", + "immobilises": "immobilizes", + "immobilising": "immobilizing", + "immortalise": "immortalize", + "immortalised": "immortalized", + "immortalises": "immortalizes", + "immortalising": "immortalizing", + "immunisation": "immunization", + "immunise": "immunize", + "immunised": "immunized", + "immunises": "immunizes", + "immunising": "immunizing", + "impanelled": "impaneled", + "impanelling": "impaneling", + "imperilled": "imperiled", + "imperilling": "imperiling", + "individualise": "individualize", + "individualised": "individualized", + "individualises": "individualizes", + "individualising": "individualizing", + "industrialise": "industrialize", + "industrialised": "industrialized", + "industrialises": "industrializes", + "industrialising": "industrializing", + "inflexion": "inflection", + "inflexions": "inflections", + "initialise": "initialize", + "initialised": "initialized", + "initialises": "initializes", + "initialising": "initializing", + "initialled": "initialed", + "initialling": "initialing", + "instal": "install", + "instalment": "installment", + "instalments": "installments", + "instals": "installs", + "instil": "instill", + "instils": "instills", + "institutionalisation": "institutionalization", + "institutionalise": "institutionalize", + "institutionalised": "institutionalized", + "institutionalises": "institutionalizes", + "institutionalising": "institutionalizing", + "intellectualise": "intellectualize", + "intellectualised": "intellectualized", + "intellectualises": "intellectualizes", + "intellectualising": "intellectualizing", + "internalisation": "internalization", + "internalise": "internalize", + "internalised": "internalized", + "internalises": "internalizes", + "internalising": "internalizing", + "internationalisation": "internationalization", + "internationalise": "internationalize", + "internationalised": "internationalized", + "internationalises": "internationalizes", + "internationalising": "internationalizing", + "ionisation": "ionization", + "ionise": "ionize", + "ionised": "ionized", + "ioniser": "ionizer", + "ionisers": "ionizers", + "ionises": "ionizes", + "ionising": "ionizing", + "italicise": "italicize", + "italicised": "italicized", + "italicises": "italicizes", + "italicising": "italicizing", + "itemise": "itemize", + "itemised": "itemized", + "itemises": "itemizes", + "itemising": "itemizing", + "jeopardise": "jeopardize", + "jeopardised": "jeopardized", + "jeopardises": "jeopardizes", + "jeopardising": "jeopardizing", + "jewelled": "jeweled", + "jeweller": "jeweler", + "jewellers": "jewelers", + "jewellery": "jewelry", + "judgement": "judgment", + "kilogramme": "kilogram", + "kilogrammes": "kilograms", + "kilometre": "kilometer", + "kilometres": "kilometers", + "labelled": "labeled", + "labelling": "labeling", + "labour": "labor", + "laboured": "labored", + "labourer": "laborer", + "labourers": "laborers", + "labouring": "laboring", + "labours": "labors", + "lacklustre": "lackluster", + "legalisation": "legalization", + "legalise": "legalize", + "legalised": "legalized", + "legalises": "legalizes", + "legalising": "legalizing", + "legitimise": "legitimize", + "legitimised": "legitimized", + "legitimises": "legitimizes", + "legitimising": "legitimizing", + "leukaemia": "leukemia", + "levelled": "leveled", + "leveller": "leveler", + "levellers": "levelers", + "levelling": "leveling", + "libelled": "libeled", + "libelling": "libeling", + "libellous": "libelous", + "liberalisation": "liberalization", + "liberalise": "liberalize", + "liberalised": "liberalized", + "liberalises": "liberalizes", + "liberalising": "liberalizing", + "licence": "license", + "licenced": "licensed", + "licences": "licenses", + "licencing": "licensing", + "likeable": "likable", + "lionisation": "lionization", + "lionise": "lionize", + "lionised": "lionized", + "lionises": "lionizes", + "lionising": "lionizing", + "liquidise": "liquidize", + "liquidised": "liquidized", + "liquidiser": "liquidizer", + "liquidisers": "liquidizers", + "liquidises": "liquidizes", + "liquidising": "liquidizing", + "litre": "liter", + "litres": "liters", + "localise": "localize", + "localised": "localized", + "localises": "localizes", + "localising": "localizing", + "louvre": "louver", + "louvred": "louvered", + "louvres": "louvers", + "lustre": "luster", + "magnetise": "magnetize", + "magnetised": "magnetized", + "magnetises": "magnetizes", + "magnetising": "magnetizing", + "manoeuvrability": "maneuverability", + "manoeuvrable": "maneuverable", + "manoeuvre": "maneuver", + "manoeuvred": "maneuvered", + "manoeuvres": "maneuvers", + "manoeuvring": "maneuvering", + "manoeuvrings": "maneuverings", + "marginalisation": "marginalization", + "marginalise": "marginalize", + "marginalised": "marginalized", + "marginalises": "marginalizes", + "marginalising": "marginalizing", + "marshalled": "marshaled", + "marshalling": "marshaling", + "marvelled": "marveled", + "marvelling": "marveling", + "marvellous": "marvelous", + "marvellously": "marvelously", + "materialisation": "materialization", + "materialise": "materialize", + "materialised": "materialized", + "materialises": "materializes", + "materialising": "materializing", + "maximisation": "maximization", + "maximise": "maximize", + "maximised": "maximized", + "maximises": "maximizes", + "maximising": "maximizing", + "meagre": "meager", + "mechanisation": "mechanization", + "mechanise": "mechanize", + "mechanised": "mechanized", + "mechanises": "mechanizes", + "mechanising": "mechanizing", + "mediaeval": "medieval", + "memorialise": "memorialize", + "memorialised": "memorialized", + "memorialises": "memorializes", + "memorialising": "memorializing", + "memorise": "memorize", + "memorised": "memorized", + "memorises": "memorizes", + "memorising": "memorizing", + "mesmerise": "mesmerize", + "mesmerised": "mesmerized", + "mesmerises": "mesmerizes", + "mesmerising": "mesmerizing", + "metabolise": "metabolize", + "metabolised": "metabolized", + "metabolises": "metabolizes", + "metabolising": "metabolizing", + "metre": "meter", + "metres": "meters", + "micrometre": "micrometer", + "micrometres": "micrometers", + "militarise": "militarize", + "militarised": "militarized", + "militarises": "militarizes", + "militarising": "militarizing", + "milligramme": "milligram", + "milligrammes": "milligrams", + "millilitre": "milliliter", + "millilitres": "milliliters", + "millimetre": "millimeter", + "millimetres": "millimeters", + "miniaturisation": "miniaturization", + "miniaturise": "miniaturize", + "miniaturised": "miniaturized", + "miniaturises": "miniaturizes", + "miniaturising": "miniaturizing", + "minibusses": "minibuses", + "minimise": "minimize", + "minimised": "minimized", + "minimises": "minimizes", + "minimising": "minimizing", + "misbehaviour": "misbehavior", + "misdemeanour": "misdemeanor", + "misdemeanours": "misdemeanors", + "misspelt": "misspelled", + "mitre": "miter", + "mitres": "miters", + "mobilisation": "mobilization", + "mobilise": "mobilize", + "mobilised": "mobilized", + "mobilises": "mobilizes", + "mobilising": "mobilizing", + "modelled": "modeled", + "modeller": "modeler", + "modellers": "modelers", + "modelling": "modeling", + "modernise": "modernize", + "modernised": "modernized", + "modernises": "modernizes", + "modernising": "modernizing", + "moisturise": "moisturize", + "moisturised": "moisturized", + "moisturiser": "moisturizer", + "moisturisers": "moisturizers", + "moisturises": "moisturizes", + "moisturising": "moisturizing", + "monologue": "monolog", + "monologues": "monologs", + "monopolisation": "monopolization", + "monopolise": "monopolize", + "monopolised": "monopolized", + "monopolises": "monopolizes", + "monopolising": "monopolizing", + "moralise": "moralize", + "moralised": "moralized", + "moralises": "moralizes", + "moralising": "moralizing", + "motorised": "motorized", + "mould": "mold", + "moulded": "molded", + "moulder": "molder", + "mouldered": "moldered", + "mouldering": "moldering", + "moulders": "molders", + "mouldier": "moldier", + "mouldiest": "moldiest", + "moulding": "molding", + "mouldings": "moldings", + "moulds": "molds", + "mouldy": "moldy", + "moult": "molt", + "moulted": "molted", + "moulting": "molting", + "moults": "molts", + "moustache": "mustache", + "moustached": "mustached", + "moustaches": "mustaches", + "moustachioed": "mustachioed", + "multicoloured": "multicolored", + "nationalisation": "nationalization", + "nationalisations": "nationalizations", + "nationalise": "nationalize", + "nationalised": "nationalized", + "nationalises": "nationalizes", + "nationalising": "nationalizing", + "naturalisation": "naturalization", + "naturalise": "naturalize", + "naturalised": "naturalized", + "naturalises": "naturalizes", + "naturalising": "naturalizing", + "neighbour": "neighbor", + "neighbourhood": "neighborhood", + "neighbourhoods": "neighborhoods", + "neighbouring": "neighboring", + "neighbourliness": "neighborliness", + "neighbourly": "neighborly", + "neighbours": "neighbors", + "neutralisation": "neutralization", + "neutralise": "neutralize", + "neutralised": "neutralized", + "neutralises": "neutralizes", + "neutralising": "neutralizing", + "normalisation": "normalization", + "normalise": "normalize", + "normalised": "normalized", + "normalises": "normalizes", + "normalising": "normalizing", + "odour": "odor", + "odourless": "odorless", + "odours": "odors", + "oesophagus": "esophagus", + "oesophaguses": "esophaguses", + "oestrogen": "estrogen", + "offence": "offense", + "offences": "offenses", + "omelette": "omelet", + "omelettes": "omelets", + "optimise": "optimize", + "optimised": "optimized", + "optimises": "optimizes", + "optimising": "optimizing", + "organisation": "organization", + "organisational": "organizational", + "organisations": "organizations", + "organise": "organize", + "organised": "organized", + "organiser": "organizer", + "organisers": "organizers", + "organises": "organizes", + "organising": "organizing", + "orthopaedic": "orthopedic", + "orthopaedics": "orthopedics", + "ostracise": "ostracize", + "ostracised": "ostracized", + "ostracises": "ostracizes", + "ostracising": "ostracizing", + "outmanoeuvre": "outmaneuver", + "outmanoeuvred": "outmaneuvered", + "outmanoeuvres": "outmaneuvers", + "outmanoeuvring": "outmaneuvering", + "overemphasise": "overemphasize", + "overemphasised": "overemphasized", + "overemphasises": "overemphasizes", + "overemphasising": "overemphasizing", + "oxidisation": "oxidization", + "oxidise": "oxidize", + "oxidised": "oxidized", + "oxidises": "oxidizes", + "oxidising": "oxidizing", + "paederast": "pederast", + "paederasts": "pederasts", + "paediatric": "pediatric", + "paediatrician": "pediatrician", + "paediatricians": "pediatricians", + "paediatrics": "pediatrics", + "paedophile": "pedophile", + "paedophiles": "pedophiles", + "paedophilia": "pedophilia", + "palaeolithic": "paleolithic", + "palaeontologist": "paleontologist", + "palaeontologists": "paleontologists", + "palaeontology": "paleontology", + "panelled": "paneled", + "panelling": "paneling", + "panellist": "panelist", + "panellists": "panelists", + "paralyse": "paralyze", + "paralysed": "paralyzed", + "paralyses": "paralyzes", + "paralysing": "paralyzing", + "parcelled": "parceled", + "parcelling": "parceling", + "parlour": "parlor", + "parlours": "parlors", + "particularise": "particularize", + "particularised": "particularized", + "particularises": "particularizes", + "particularising": "particularizing", + "passivisation": "passivization", + "passivise": "passivize", + "passivised": "passivized", + "passivises": "passivizes", + "passivising": "passivizing", + "pasteurisation": "pasteurization", + "pasteurise": "pasteurize", + "pasteurised": "pasteurized", + "pasteurises": "pasteurizes", + "pasteurising": "pasteurizing", + "patronise": "patronize", + "patronised": "patronized", + "patronises": "patronizes", + "patronising": "patronizing", + "patronisingly": "patronizingly", + "pedalled": "pedaled", + "pedalling": "pedaling", + "pedestrianisation": "pedestrianization", + "pedestrianise": "pedestrianize", + "pedestrianised": "pedestrianized", + "pedestrianises": "pedestrianizes", + "pedestrianising": "pedestrianizing", + "penalise": "penalize", + "penalised": "penalized", + "penalises": "penalizes", + "penalising": "penalizing", + "pencilled": "penciled", + "pencilling": "penciling", + "personalise": "personalize", + "personalised": "personalized", + "personalises": "personalizes", + "personalising": "personalizing", + "pharmacopoeia": "pharmacopeia", + "pharmacopoeias": "pharmacopeias", + "philosophise": "philosophize", + "philosophised": "philosophized", + "philosophises": "philosophizes", + "philosophising": "philosophizing", + "philtre": "filter", + "philtres": "filters", + "phoney": "phony", + "plagiarise": "plagiarize", + "plagiarised": "plagiarized", + "plagiarises": "plagiarizes", + "plagiarising": "plagiarizing", + "plough": "plow", + "ploughed": "plowed", + "ploughing": "plowing", + "ploughman": "plowman", + "ploughmen": "plowmen", + "ploughs": "plows", + "ploughshare": "plowshare", + "ploughshares": "plowshares", + "polarisation": "polarization", + "polarise": "polarize", + "polarised": "polarized", + "polarises": "polarizes", + "polarising": "polarizing", + "politicisation": "politicization", + "politicise": "politicize", + "politicised": "politicized", + "politicises": "politicizes", + "politicising": "politicizing", + "popularisation": "popularization", + "popularise": "popularize", + "popularised": "popularized", + "popularises": "popularizes", + "popularising": "popularizing", + "pouffe": "pouf", + "pouffes": "poufs", + "practise": "practice", + "practised": "practiced", + "practises": "practices", + "practising": "practicing", + "praesidium": "presidium", + "praesidiums": "presidiums", + "pressurisation": "pressurization", + "pressurise": "pressurize", + "pressurised": "pressurized", + "pressurises": "pressurizes", + "pressurising": "pressurizing", + "pretence": "pretense", + "pretences": "pretenses", + "primaeval": "primeval", + "prioritisation": "prioritization", + "prioritise": "prioritize", + "prioritised": "prioritized", + "prioritises": "prioritizes", + "prioritising": "prioritizing", + "privatisation": "privatization", + "privatisations": "privatizations", + "privatise": "privatize", + "privatised": "privatized", + "privatises": "privatizes", + "privatising": "privatizing", + "professionalisation": "professionalization", + "professionalise": "professionalize", + "professionalised": "professionalized", + "professionalises": "professionalizes", + "professionalising": "professionalizing", + "programme": "program", + "programmes": "programs", + "prologue": "prolog", + "prologues": "prologs", + "propagandise": "propagandize", + "propagandised": "propagandized", + "propagandises": "propagandizes", + "propagandising": "propagandizing", + "proselytise": "proselytize", + "proselytised": "proselytized", + "proselytiser": "proselytizer", + "proselytisers": "proselytizers", + "proselytises": "proselytizes", + "proselytising": "proselytizing", + "psychoanalyse": "psychoanalyze", + "psychoanalysed": "psychoanalyzed", + "psychoanalyses": "psychoanalyzes", + "psychoanalysing": "psychoanalyzing", + "publicise": "publicize", + "publicised": "publicized", + "publicises": "publicizes", + "publicising": "publicizing", + "pulverisation": "pulverization", + "pulverise": "pulverize", + "pulverised": "pulverized", + "pulverises": "pulverizes", + "pulverising": "pulverizing", + "pummelled": "pummel", + "pummelling": "pummeled", + "pyjama": "pajama", + "pyjamas": "pajamas", + "pzazz": "pizzazz", + "quarrelled": "quarreled", + "quarrelling": "quarreling", + "radicalise": "radicalize", + "radicalised": "radicalized", + "radicalises": "radicalizes", + "radicalising": "radicalizing", + "rancour": "rancor", + "randomise": "randomize", + "randomised": "randomized", + "randomises": "randomizes", + "randomising": "randomizing", + "rationalisation": "rationalization", + "rationalisations": "rationalizations", + "rationalise": "rationalize", + "rationalised": "rationalized", + "rationalises": "rationalizes", + "rationalising": "rationalizing", + "ravelled": "raveled", + "ravelling": "raveling", + "realisable": "realizable", + "realisation": "realization", + "realisations": "realizations", + "realise": "realize", + "realised": "realized", + "realises": "realizes", + "realising": "realizing", + "recognisable": "recognizable", + "recognisably": "recognizably", + "recognisance": "recognizance", + "recognise": "recognize", + "recognised": "recognized", + "recognises": "recognizes", + "recognising": "recognizing", + "reconnoitre": "reconnoiter", + "reconnoitred": "reconnoitered", + "reconnoitres": "reconnoiters", + "reconnoitring": "reconnoitering", + "refuelled": "refueled", + "refuelling": "refueling", + "regularisation": "regularization", + "regularise": "regularize", + "regularised": "regularized", + "regularises": "regularizes", + "regularising": "regularizing", + "remodelled": "remodeled", + "remodelling": "remodeling", + "remould": "remold", + "remoulded": "remolded", + "remoulding": "remolding", + "remoulds": "remolds", + "reorganisation": "reorganization", + "reorganisations": "reorganizations", + "reorganise": "reorganize", + "reorganised": "reorganized", + "reorganises": "reorganizes", + "reorganising": "reorganizing", + "revelled": "reveled", + "reveller": "reveler", + "revellers": "revelers", + "revelling": "reveling", + "revitalise": "revitalize", + "revitalised": "revitalized", + "revitalises": "revitalizes", + "revitalising": "revitalizing", + "revolutionise": "revolutionize", + "revolutionised": "revolutionized", + "revolutionises": "revolutionizes", + "revolutionising": "revolutionizing", + "rhapsodise": "rhapsodize", + "rhapsodised": "rhapsodized", + "rhapsodises": "rhapsodizes", + "rhapsodising": "rhapsodizing", + "rigour": "rigor", + "rigours": "rigors", + "ritualised": "ritualized", + "rivalled": "rivaled", + "rivalling": "rivaling", + "romanticise": "romanticize", + "romanticised": "romanticized", + "romanticises": "romanticizes", + "romanticising": "romanticizing", + "rumour": "rumor", + "rumoured": "rumored", + "rumours": "rumors", + "sabre": "saber", + "sabres": "sabers", + "saltpetre": "saltpeter", + "sanitise": "sanitize", + "sanitised": "sanitized", + "sanitises": "sanitizes", + "sanitising": "sanitizing", + "satirise": "satirize", + "satirised": "satirized", + "satirises": "satirizes", + "satirising": "satirizing", + "saviour": "savior", + "saviours": "saviors", + "savour": "savor", + "savoured": "savored", + "savouries": "savories", + "savouring": "savoring", + "savours": "savors", + "savoury": "savory", + "scandalise": "scandalize", + "scandalised": "scandalized", + "scandalises": "scandalizes", + "scandalising": "scandalizing", + "sceptic": "skeptic", + "sceptical": "skeptical", + "sceptically": "skeptically", + "scepticism": "skepticism", + "sceptics": "skeptics", + "sceptre": "scepter", + "sceptres": "scepters", + "scrutinise": "scrutinize", + "scrutinised": "scrutinized", + "scrutinises": "scrutinizes", + "scrutinising": "scrutinizing", + "secularisation": "secularization", + "secularise": "secularize", + "secularised": "secularized", + "secularises": "secularizes", + "secularising": "secularizing", + "sensationalise": "sensationalize", + "sensationalised": "sensationalized", + "sensationalises": "sensationalizes", + "sensationalising": "sensationalizing", + "sensitise": "sensitize", + "sensitised": "sensitized", + "sensitises": "sensitizes", + "sensitising": "sensitizing", + "sentimentalise": "sentimentalize", + "sentimentalised": "sentimentalized", + "sentimentalises": "sentimentalizes", + "sentimentalising": "sentimentalizing", + "sepulchre": "sepulcher", + "sepulchres": "sepulchers", + "serialisation": "serialization", + "serialisations": "serializations", + "serialise": "serialize", + "serialised": "serialized", + "serialises": "serializes", + "serialising": "serializing", + "sermonise": "sermonize", + "sermonised": "sermonized", + "sermonises": "sermonizes", + "sermonising": "sermonizing", + "sheikh": "sheik", + "shovelled": "shoveled", + "shovelling": "shoveling", + "shrivelled": "shriveled", + "shrivelling": "shriveling", + "signalise": "signalize", + "signalised": "signalized", + "signalises": "signalizes", + "signalising": "signalizing", + "signalled": "signaled", + "signalling": "signaling", + "smoulder": "smolder", + "smouldered": "smoldered", + "smouldering": "smoldering", + "smoulders": "smolders", + "snivelled": "sniveled", + "snivelling": "sniveling", + "snorkelled": "snorkeled", + "snorkelling": "snorkeling", + "snowplough": "snowplow", + "snowploughs": "snowplow", + "socialisation": "socialization", + "socialise": "socialize", + "socialised": "socialized", + "socialises": "socializes", + "socialising": "socializing", + "sodomise": "sodomize", + "sodomised": "sodomized", + "sodomises": "sodomizes", + "sodomising": "sodomizing", + "solemnise": "solemnize", + "solemnised": "solemnized", + "solemnises": "solemnizes", + "solemnising": "solemnizing", + "sombre": "somber", + "specialisation": "specialization", + "specialisations": "specializations", + "specialise": "specialize", + "specialised": "specialized", + "specialises": "specializes", + "specialising": "specializing", + "spectre": "specter", + "spectres": "specters", + "spiralled": "spiraled", + "spiralling": "spiraling", + "splendour": "splendor", + "splendours": "splendors", + "squirrelled": "squirreled", + "squirrelling": "squirreling", + "stabilisation": "stabilization", + "stabilise": "stabilize", + "stabilised": "stabilized", + "stabiliser": "stabilizer", + "stabilisers": "stabilizers", + "stabilises": "stabilizes", + "stabilising": "stabilizing", + "standardisation": "standardization", + "standardise": "standardize", + "standardised": "standardized", + "standardises": "standardizes", + "standardising": "standardizing", + "stencilled": "stenciled", + "stencilling": "stenciling", + "sterilisation": "sterilization", + "sterilisations": "sterilizations", + "sterilise": "sterilize", + "sterilised": "sterilized", + "steriliser": "sterilizer", + "sterilisers": "sterilizers", + "sterilises": "sterilizes", + "sterilising": "sterilizing", + "stigmatisation": "stigmatization", + "stigmatise": "stigmatize", + "stigmatised": "stigmatized", + "stigmatises": "stigmatizes", + "stigmatising": "stigmatizing", + "storey": "story", + "storeys": "stories", + "subsidisation": "subsidization", + "subsidise": "subsidize", + "subsidised": "subsidized", + "subsidiser": "subsidizer", + "subsidisers": "subsidizers", + "subsidises": "subsidizes", + "subsidising": "subsidizing", + "succour": "succor", + "succoured": "succored", + "succouring": "succoring", + "succours": "succors", + "sulphate": "sulfate", + "sulphates": "sulfates", + "sulphide": "sulfide", + "sulphides": "sulfides", + "sulphur": "sulfur", + "sulphurous": "sulfurous", + "summarise": "summarize", + "summarised": "summarized", + "summarises": "summarizes", + "summarising": "summarizing", + "swivelled": "swiveled", + "swivelling": "swiveling", + "symbolise": "symbolize", + "symbolised": "symbolized", + "symbolises": "symbolizes", + "symbolising": "symbolizing", + "sympathise": "sympathize", + "sympathised": "sympathized", + "sympathiser": "sympathizer", + "sympathisers": "sympathizers", + "sympathises": "sympathizes", + "sympathising": "sympathizing", + "synchronisation": "synchronization", + "synchronise": "synchronize", + "synchronised": "synchronized", + "synchronises": "synchronizes", + "synchronising": "synchronizing", + "synthesise": "synthesize", + "synthesised": "synthesized", + "synthesiser": "synthesizer", + "synthesisers": "synthesizers", + "synthesises": "synthesizes", + "synthesising": "synthesizing", + "syphon": "siphon", + "syphoned": "siphoned", + "syphoning": "siphoning", + "syphons": "siphons", + "systematisation": "systematization", + "systematise": "systematize", + "systematised": "systematized", + "systematises": "systematizes", + "systematising": "systematizing", + "tantalise": "tantalize", + "tantalised": "tantalized", + "tantalises": "tantalizes", + "tantalising": "tantalizing", + "tantalisingly": "tantalizingly", + "tasselled": "tasseled", + "technicolour": "technicolor", + "temporise": "temporize", + "temporised": "temporized", + "temporises": "temporizes", + "temporising": "temporizing", + "tenderise": "tenderize", + "tenderised": "tenderized", + "tenderises": "tenderizes", + "tenderising": "tenderizing", + "terrorise": "terrorize", + "terrorised": "terrorized", + "terrorises": "terrorizes", + "terrorising": "terrorizing", + "theatre": "theater", + "theatregoer": "theatergoer", + "theatregoers": "theatergoers", + "theatres": "theaters", + "theorise": "theorize", + "theorised": "theorized", + "theorises": "theorizes", + "theorising": "theorizing", + "tonne": "ton", + "tonnes": "tons", + "towelled": "toweled", + "towelling": "toweling", + "toxaemia": "toxemia", + "tranquillise": "tranquilize", + "tranquillised": "tranquilized", + "tranquilliser": "tranquilizer", + "tranquillisers": "tranquilizers", + "tranquillises": "tranquilizes", + "tranquillising": "tranquilizing", + "tranquillity": "tranquility", + "tranquillize": "tranquilize", + "tranquillized": "tranquilized", + "tranquillizer": "tranquilizer", + "tranquillizers": "tranquilizers", + "tranquillizes": "tranquilizes", + "tranquillizing": "tranquilizing", + "tranquilly": "tranquility", + "transistorised": "transistorized", + "traumatise": "traumatize", + "traumatised": "traumatized", + "traumatises": "traumatizes", + "traumatising": "traumatizing", + "travelled": "traveled", + "traveller": "traveler", + "travellers": "travelers", + "travelling": "traveling", + "travelog": "travelogue", + "travelogs": "travelogues", + "trialled": "trialed", + "trialling": "trialing", + "tricolour": "tricolor", + "tricolours": "tricolors", + "trivialise": "trivialize", + "trivialised": "trivialized", + "trivialises": "trivializes", + "trivialising": "trivializing", + "tumour": "tumor", + "tumours": "tumors", + "tunnelled": "tunneled", + "tunnelling": "tunneling", + "tyrannise": "tyrannize", + "tyrannised": "tyrannized", + "tyrannises": "tyrannizes", + "tyrannising": "tyrannizing", + "tyre": "tire", + "tyres": "tires", + "unauthorised": "unauthorized", + "uncivilised": "uncivilized", + "underutilised": "underutilized", + "unequalled": "unequaled", + "unfavourable": "unfavorable", + "unfavourably": "unfavorably", + "unionisation": "unionization", + "unionise": "unionize", + "unionised": "unionized", + "unionises": "unionizes", + "unionising": "unionizing", + "unorganised": "unorganized", + "unravelled": "unraveled", + "unravelling": "unraveling", + "unrecognisable": "unrecognizable", + "unrecognised": "unrecognized", + "unrivalled": "unrivaled", + "unsavoury": "unsavory", + "untrammelled": "untrammeled", + "urbanisation": "urbanization", + "urbanise": "urbanize", + "urbanised": "urbanized", + "urbanises": "urbanizes", + "urbanising": "urbanizing", + "utilisable": "utilizable", + "utilisation": "utilization", + "utilise": "utilize", + "utilised": "utilized", + "utilises": "utilizes", + "utilising": "utilizing", + "valour": "valor", + "vandalise": "vandalize", + "vandalised": "vandalized", + "vandalises": "vandalizes", + "vandalising": "vandalizing", + "vaporisation": "vaporization", + "vaporise": "vaporize", + "vaporised": "vaporized", + "vaporises": "vaporizes", + "vaporising": "vaporizing", + "vapour": "vapor", + "vapours": "vapors", + "verbalise": "verbalize", + "verbalised": "verbalized", + "verbalises": "verbalizes", + "verbalising": "verbalizing", + "victimisation": "victimization", + "victimise": "victimize", + "victimised": "victimized", + "victimises": "victimizes", + "victimising": "victimizing", + "videodisc": "videodisk", + "videodiscs": "videodisks", + "vigour": "vigor", + "visualisation": "visualization", + "visualisations": "visualizations", + "visualise": "visualize", + "visualised": "visualized", + "visualises": "visualizes", + "visualising": "visualizing", + "vocalisation": "vocalization", + "vocalisations": "vocalizations", + "vocalise": "vocalize", + "vocalised": "vocalized", + "vocalises": "vocalizes", + "vocalising": "vocalizing", + "vulcanised": "vulcanized", + "vulgarisation": "vulgarization", + "vulgarise": "vulgarize", + "vulgarised": "vulgarized", + "vulgarises": "vulgarizes", + "vulgarising": "vulgarizing", + "waggon": "wagon", + "waggons": "wagons", + "watercolour": "watercolor", + "watercolours": "watercolors", + "weaselled": "weaseled", + "weaselling": "weaseling", + "westernisation": "westernization", + "westernise": "westernize", + "westernised": "westernized", + "westernises": "westernizes", + "westernising": "westernizing", + "womanise": "womanize", + "womanised": "womanized", + "womaniser": "womanizer", + "womanisers": "womanizers", + "womanises": "womanizes", + "womanising": "womanizing", + "woollen": "woolen", + "woollens": "woolens", + "woollies": "woolies", + "woolly": "wooly", + "worshipped": "worshiped", + "worshipping": "worshiping", + "worshipper": "worshiper", + "yodelled": "yodeled", + "yodelling": "yodeling", + "yoghourt": "yogurt", + "yoghourts": "yogurts", + "yoghurt": "yogurt", + "yoghurts": "yogurts", + "mhm": "hmm", + "mm": "hmm", + "mmm": "hmm" +} \ No newline at end of file diff --git a/Musetalk/musetalk/whisper/whisper/normalizers/english.py b/Musetalk/musetalk/whisper/whisper/normalizers/english.py new file mode 100644 index 0000000000000000000000000000000000000000..d5c2bb4ebef1a04b9ab14970c10c3fb0d4e948d4 --- /dev/null +++ b/Musetalk/musetalk/whisper/whisper/normalizers/english.py @@ -0,0 +1,543 @@ +import json +import os +import re +from fractions import Fraction +from typing import Iterator, List, Match, Optional, Union + +from more_itertools import windowed + +from .basic import remove_symbols_and_diacritics + + +class EnglishNumberNormalizer: + """ + Convert any spelled-out numbers into arabic numbers, while handling: + + - remove any commas + - keep the suffixes such as: `1960s`, `274th`, `32nd`, etc. + - spell out currency symbols after the number. e.g. `$20 million` -> `20000000 dollars` + - spell out `one` and `ones` + - interpret successive single-digit numbers as nominal: `one oh one` -> `101` + """ + + def __init__(self): + super().__init__() + + self.zeros = {"o", "oh", "zero"} + self.ones = { + name: i + for i, name in enumerate( + [ + "one", + "two", + "three", + "four", + "five", + "six", + "seven", + "eight", + "nine", + "ten", + "eleven", + "twelve", + "thirteen", + "fourteen", + "fifteen", + "sixteen", + "seventeen", + "eighteen", + "nineteen", + ], + start=1, + ) + } + self.ones_plural = { + "sixes" if name == "six" else name + "s": (value, "s") + for name, value in self.ones.items() + } + self.ones_ordinal = { + "zeroth": (0, "th"), + "first": (1, "st"), + "second": (2, "nd"), + "third": (3, "rd"), + "fifth": (5, "th"), + "twelfth": (12, "th"), + **{ + name + ("h" if name.endswith("t") else "th"): (value, "th") + for name, value in self.ones.items() + if value > 3 and value != 5 and value != 12 + }, + } + self.ones_suffixed = {**self.ones_plural, **self.ones_ordinal} + + self.tens = { + "twenty": 20, + "thirty": 30, + "forty": 40, + "fifty": 50, + "sixty": 60, + "seventy": 70, + "eighty": 80, + "ninety": 90, + } + self.tens_plural = { + name.replace("y", "ies"): (value, "s") for name, value in self.tens.items() + } + self.tens_ordinal = { + name.replace("y", "ieth"): (value, "th") for name, value in self.tens.items() + } + self.tens_suffixed = {**self.tens_plural, **self.tens_ordinal} + + self.multipliers = { + "hundred": 100, + "thousand": 1_000, + "million": 1_000_000, + "billion": 1_000_000_000, + "trillion": 1_000_000_000_000, + "quadrillion": 1_000_000_000_000_000, + "quintillion": 1_000_000_000_000_000_000, + "sextillion": 1_000_000_000_000_000_000_000, + "septillion": 1_000_000_000_000_000_000_000_000, + "octillion": 1_000_000_000_000_000_000_000_000_000, + "nonillion": 1_000_000_000_000_000_000_000_000_000_000, + "decillion": 1_000_000_000_000_000_000_000_000_000_000_000, + } + self.multipliers_plural = { + name + "s": (value, "s") for name, value in self.multipliers.items() + } + self.multipliers_ordinal = { + name + "th": (value, "th") for name, value in self.multipliers.items() + } + self.multipliers_suffixed = {**self.multipliers_plural, **self.multipliers_ordinal} + self.decimals = {*self.ones, *self.tens, *self.zeros} + + self.preceding_prefixers = { + "minus": "-", + "negative": "-", + "plus": "+", + "positive": "+", + } + self.following_prefixers = { + "pound": "£", + "pounds": "£", + "euro": "€", + "euros": "€", + "dollar": "$", + "dollars": "$", + "cent": "¢", + "cents": "¢", + } + self.prefixes = set( + list(self.preceding_prefixers.values()) + list(self.following_prefixers.values()) + ) + self.suffixers = { + "per": {"cent": "%"}, + "percent": "%", + } + self.specials = {"and", "double", "triple", "point"} + + self.words = set( + [ + key + for mapping in [ + self.zeros, + self.ones, + self.ones_suffixed, + self.tens, + self.tens_suffixed, + self.multipliers, + self.multipliers_suffixed, + self.preceding_prefixers, + self.following_prefixers, + self.suffixers, + self.specials, + ] + for key in mapping + ] + ) + self.literal_words = {"one", "ones"} + + def process_words(self, words: List[str]) -> Iterator[str]: + prefix: Optional[str] = None + value: Optional[Union[str, int]] = None + skip = False + + def to_fraction(s: str): + try: + return Fraction(s) + except ValueError: + return None + + def output(result: Union[str, int]): + nonlocal prefix, value + result = str(result) + if prefix is not None: + result = prefix + result + value = None + prefix = None + return result + + if len(words) == 0: + return + + for prev, current, next in windowed([None] + words + [None], 3): + if skip: + skip = False + continue + + next_is_numeric = next is not None and re.match(r"^\d+(\.\d+)?$", next) + has_prefix = current[0] in self.prefixes + current_without_prefix = current[1:] if has_prefix else current + if re.match(r"^\d+(\.\d+)?$", current_without_prefix): + # arabic numbers (potentially with signs and fractions) + f = to_fraction(current_without_prefix) + assert f is not None + if value is not None: + if isinstance(value, str) and value.endswith("."): + # concatenate decimals / ip address components + value = str(value) + str(current) + continue + else: + yield output(value) + + prefix = current[0] if has_prefix else prefix + if f.denominator == 1: + value = f.numerator # store integers as int + else: + value = current_without_prefix + elif current not in self.words: + # non-numeric words + if value is not None: + yield output(value) + yield output(current) + elif current in self.zeros: + value = str(value or "") + "0" + elif current in self.ones: + ones = self.ones[current] + + if value is None: + value = ones + elif isinstance(value, str) or prev in self.ones: + if prev in self.tens and ones < 10: # replace the last zero with the digit + assert value[-1] == "0" + value = value[:-1] + str(ones) + else: + value = str(value) + str(ones) + elif ones < 10: + if value % 10 == 0: + value += ones + else: + value = str(value) + str(ones) + else: # eleven to nineteen + if value % 100 == 0: + value += ones + else: + value = str(value) + str(ones) + elif current in self.ones_suffixed: + # ordinal or cardinal; yield the number right away + ones, suffix = self.ones_suffixed[current] + if value is None: + yield output(str(ones) + suffix) + elif isinstance(value, str) or prev in self.ones: + if prev in self.tens and ones < 10: + assert value[-1] == "0" + yield output(value[:-1] + str(ones) + suffix) + else: + yield output(str(value) + str(ones) + suffix) + elif ones < 10: + if value % 10 == 0: + yield output(str(value + ones) + suffix) + else: + yield output(str(value) + str(ones) + suffix) + else: # eleven to nineteen + if value % 100 == 0: + yield output(str(value + ones) + suffix) + else: + yield output(str(value) + str(ones) + suffix) + value = None + elif current in self.tens: + tens = self.tens[current] + if value is None: + value = tens + elif isinstance(value, str): + value = str(value) + str(tens) + else: + if value % 100 == 0: + value += tens + else: + value = str(value) + str(tens) + elif current in self.tens_suffixed: + # ordinal or cardinal; yield the number right away + tens, suffix = self.tens_suffixed[current] + if value is None: + yield output(str(tens) + suffix) + elif isinstance(value, str): + yield output(str(value) + str(tens) + suffix) + else: + if value % 100 == 0: + yield output(str(value + tens) + suffix) + else: + yield output(str(value) + str(tens) + suffix) + elif current in self.multipliers: + multiplier = self.multipliers[current] + if value is None: + value = multiplier + elif isinstance(value, str) or value == 0: + f = to_fraction(value) + p = f * multiplier if f is not None else None + if f is not None and p.denominator == 1: + value = p.numerator + else: + yield output(value) + value = multiplier + else: + before = value // 1000 * 1000 + residual = value % 1000 + value = before + residual * multiplier + elif current in self.multipliers_suffixed: + multiplier, suffix = self.multipliers_suffixed[current] + if value is None: + yield output(str(multiplier) + suffix) + elif isinstance(value, str): + f = to_fraction(value) + p = f * multiplier if f is not None else None + if f is not None and p.denominator == 1: + yield output(str(p.numerator) + suffix) + else: + yield output(value) + yield output(str(multiplier) + suffix) + else: # int + before = value // 1000 * 1000 + residual = value % 1000 + value = before + residual * multiplier + yield output(str(value) + suffix) + value = None + elif current in self.preceding_prefixers: + # apply prefix (positive, minus, etc.) if it precedes a number + if value is not None: + yield output(value) + + if next in self.words or next_is_numeric: + prefix = self.preceding_prefixers[current] + else: + yield output(current) + elif current in self.following_prefixers: + # apply prefix (dollars, cents, etc.) only after a number + if value is not None: + prefix = self.following_prefixers[current] + yield output(value) + else: + yield output(current) + elif current in self.suffixers: + # apply suffix symbols (percent -> '%') + if value is not None: + suffix = self.suffixers[current] + if isinstance(suffix, dict): + if next in suffix: + yield output(str(value) + suffix[next]) + skip = True + else: + yield output(value) + yield output(current) + else: + yield output(str(value) + suffix) + else: + yield output(current) + elif current in self.specials: + if next not in self.words and not next_is_numeric: + # apply special handling only if the next word can be numeric + if value is not None: + yield output(value) + yield output(current) + elif current == "and": + # ignore "and" after hundreds, thousands, etc. + if prev not in self.multipliers: + if value is not None: + yield output(value) + yield output(current) + elif current == "double" or current == "triple": + if next in self.ones or next in self.zeros: + repeats = 2 if current == "double" else 3 + ones = self.ones.get(next, 0) + value = str(value or "") + str(ones) * repeats + skip = True + else: + if value is not None: + yield output(value) + yield output(current) + elif current == "point": + if next in self.decimals or next_is_numeric: + value = str(value or "") + "." + else: + # should all have been covered at this point + raise ValueError(f"Unexpected token: {current}") + else: + # all should have been covered at this point + raise ValueError(f"Unexpected token: {current}") + + if value is not None: + yield output(value) + + def preprocess(self, s: str): + # replace " and a half" with " point five" + results = [] + + segments = re.split(r"\band\s+a\s+half\b", s) + for i, segment in enumerate(segments): + if len(segment.strip()) == 0: + continue + if i == len(segments) - 1: + results.append(segment) + else: + results.append(segment) + last_word = segment.rsplit(maxsplit=2)[-1] + if last_word in self.decimals or last_word in self.multipliers: + results.append("point five") + else: + results.append("and a half") + + s = " ".join(results) + + # put a space at number/letter boundary + s = re.sub(r"([a-z])([0-9])", r"\1 \2", s) + s = re.sub(r"([0-9])([a-z])", r"\1 \2", s) + + # but remove spaces which could be a suffix + s = re.sub(r"([0-9])\s+(st|nd|rd|th|s)\b", r"\1\2", s) + + return s + + def postprocess(self, s: str): + def combine_cents(m: Match): + try: + currency = m.group(1) + integer = m.group(2) + cents = int(m.group(3)) + return f"{currency}{integer}.{cents:02d}" + except ValueError: + return m.string + + def extract_cents(m: Match): + try: + return f"¢{int(m.group(1))}" + except ValueError: + return m.string + + # apply currency postprocessing; "$2 and ¢7" -> "$2.07" + s = re.sub(r"([€£$])([0-9]+) (?:and )?¢([0-9]{1,2})\b", combine_cents, s) + s = re.sub(r"[€£$]0.([0-9]{1,2})\b", extract_cents, s) + + # write "one(s)" instead of "1(s)", just for the readability + s = re.sub(r"\b1(s?)\b", r"one\1", s) + + return s + + def __call__(self, s: str): + s = self.preprocess(s) + s = " ".join(word for word in self.process_words(s.split()) if word is not None) + s = self.postprocess(s) + + return s + + +class EnglishSpellingNormalizer: + """ + Applies British-American spelling mappings as listed in [1]. + + [1] https://www.tysto.com/uk-us-spelling-list.html + """ + + def __init__(self): + mapping_path = os.path.join(os.path.dirname(__file__), "english.json") + self.mapping = json.load(open(mapping_path)) + + def __call__(self, s: str): + return " ".join(self.mapping.get(word, word) for word in s.split()) + + +class EnglishTextNormalizer: + def __init__(self): + self.ignore_patterns = r"\b(hmm|mm|mhm|mmm|uh|um)\b" + self.replacers = { + # common contractions + r"\bwon't\b": "will not", + r"\bcan't\b": "can not", + r"\blet's\b": "let us", + r"\bain't\b": "aint", + r"\by'all\b": "you all", + r"\bwanna\b": "want to", + r"\bgotta\b": "got to", + r"\bgonna\b": "going to", + r"\bi'ma\b": "i am going to", + r"\bimma\b": "i am going to", + r"\bwoulda\b": "would have", + r"\bcoulda\b": "could have", + r"\bshoulda\b": "should have", + r"\bma'am\b": "madam", + # contractions in titles/prefixes + r"\bmr\b": "mister ", + r"\bmrs\b": "missus ", + r"\bst\b": "saint ", + r"\bdr\b": "doctor ", + r"\bprof\b": "professor ", + r"\bcapt\b": "captain ", + r"\bgov\b": "governor ", + r"\bald\b": "alderman ", + r"\bgen\b": "general ", + r"\bsen\b": "senator ", + r"\brep\b": "representative ", + r"\bpres\b": "president ", + r"\brev\b": "reverend ", + r"\bhon\b": "honorable ", + r"\basst\b": "assistant ", + r"\bassoc\b": "associate ", + r"\blt\b": "lieutenant ", + r"\bcol\b": "colonel ", + r"\bjr\b": "junior ", + r"\bsr\b": "senior ", + r"\besq\b": "esquire ", + # prefect tenses, ideally it should be any past participles, but it's harder.. + r"'d been\b": " had been", + r"'s been\b": " has been", + r"'d gone\b": " had gone", + r"'s gone\b": " has gone", + r"'d done\b": " had done", # "'s done" is ambiguous + r"'s got\b": " has got", + # general contractions + r"n't\b": " not", + r"'re\b": " are", + r"'s\b": " is", + r"'d\b": " would", + r"'ll\b": " will", + r"'t\b": " not", + r"'ve\b": " have", + r"'m\b": " am", + } + self.standardize_numbers = EnglishNumberNormalizer() + self.standardize_spellings = EnglishSpellingNormalizer() + + def __call__(self, s: str): + s = s.lower() + + s = re.sub(r"[<\[][^>\]]*[>\]]", "", s) # remove words between brackets + s = re.sub(r"\(([^)]+?)\)", "", s) # remove words between parenthesis + s = re.sub(self.ignore_patterns, "", s) + s = re.sub(r"\s+'", "'", s) # standardize when there's a space before an apostrophe + + for pattern, replacement in self.replacers.items(): + s = re.sub(pattern, replacement, s) + + s = re.sub(r"(\d),(\d)", r"\1\2", s) # remove commas between digits + s = re.sub(r"\.([^0-9]|$)", r" \1", s) # remove periods not followed by numbers + s = remove_symbols_and_diacritics(s, keep=".%$¢€£") # keep some symbols for numerics + + s = self.standardize_numbers(s) + s = self.standardize_spellings(s) + + # now remove prefix/suffix symbols that are not preceded/followed by numbers + s = re.sub(r"[.$¢€£]([^0-9])", r" \1", s) + s = re.sub(r"([^0-9])%", r"\1 ", s) + + s = re.sub(r"\s+", " ", s) # replace any successive whitespace characters with a space + + return s diff --git a/Musetalk/musetalk/whisper/whisper/tokenizer.py b/Musetalk/musetalk/whisper/whisper/tokenizer.py new file mode 100644 index 0000000000000000000000000000000000000000..88142c43c9ca0d951a36b5b30baf54dd7bc7efbf --- /dev/null +++ b/Musetalk/musetalk/whisper/whisper/tokenizer.py @@ -0,0 +1,331 @@ +import os +from dataclasses import dataclass +from functools import lru_cache +from typing import List, Optional, Tuple, Union + +import numpy as np +import torch +from transformers import GPT2TokenizerFast + +LANGUAGES = { + "en": "english", + "zh": "chinese", + "de": "german", + "es": "spanish", + "ru": "russian", + "ko": "korean", + "fr": "french", + "ja": "japanese", + "pt": "portuguese", + "tr": "turkish", + "pl": "polish", + "ca": "catalan", + "nl": "dutch", + "ar": "arabic", + "sv": "swedish", + "it": "italian", + "id": "indonesian", + "hi": "hindi", + "fi": "finnish", + "vi": "vietnamese", + "iw": "hebrew", + "uk": "ukrainian", + "el": "greek", + "ms": "malay", + "cs": "czech", + "ro": "romanian", + "da": "danish", + "hu": "hungarian", + "ta": "tamil", + "no": "norwegian", + "th": "thai", + "ur": "urdu", + "hr": "croatian", + "bg": "bulgarian", + "lt": "lithuanian", + "la": "latin", + "mi": "maori", + "ml": "malayalam", + "cy": "welsh", + "sk": "slovak", + "te": "telugu", + "fa": "persian", + "lv": "latvian", + "bn": "bengali", + "sr": "serbian", + "az": "azerbaijani", + "sl": "slovenian", + "kn": "kannada", + "et": "estonian", + "mk": "macedonian", + "br": "breton", + "eu": "basque", + "is": "icelandic", + "hy": "armenian", + "ne": "nepali", + "mn": "mongolian", + "bs": "bosnian", + "kk": "kazakh", + "sq": "albanian", + "sw": "swahili", + "gl": "galician", + "mr": "marathi", + "pa": "punjabi", + "si": "sinhala", + "km": "khmer", + "sn": "shona", + "yo": "yoruba", + "so": "somali", + "af": "afrikaans", + "oc": "occitan", + "ka": "georgian", + "be": "belarusian", + "tg": "tajik", + "sd": "sindhi", + "gu": "gujarati", + "am": "amharic", + "yi": "yiddish", + "lo": "lao", + "uz": "uzbek", + "fo": "faroese", + "ht": "haitian creole", + "ps": "pashto", + "tk": "turkmen", + "nn": "nynorsk", + "mt": "maltese", + "sa": "sanskrit", + "lb": "luxembourgish", + "my": "myanmar", + "bo": "tibetan", + "tl": "tagalog", + "mg": "malagasy", + "as": "assamese", + "tt": "tatar", + "haw": "hawaiian", + "ln": "lingala", + "ha": "hausa", + "ba": "bashkir", + "jw": "javanese", + "su": "sundanese", +} + +# language code lookup by name, with a few language aliases +TO_LANGUAGE_CODE = { + **{language: code for code, language in LANGUAGES.items()}, + "burmese": "my", + "valencian": "ca", + "flemish": "nl", + "haitian": "ht", + "letzeburgesch": "lb", + "pushto": "ps", + "panjabi": "pa", + "moldavian": "ro", + "moldovan": "ro", + "sinhalese": "si", + "castilian": "es", +} + + +@dataclass(frozen=True) +class Tokenizer: + """A thin wrapper around `GPT2TokenizerFast` providing quick access to special tokens""" + + tokenizer: "GPT2TokenizerFast" + language: Optional[str] + sot_sequence: Tuple[int] + + def encode(self, text, **kwargs): + return self.tokenizer.encode(text, **kwargs) + + def decode(self, token_ids: Union[int, List[int], np.ndarray, torch.Tensor], **kwargs): + return self.tokenizer.decode(token_ids, **kwargs) + + def decode_with_timestamps(self, tokens) -> str: + """ + Timestamp tokens are above the special tokens' id range and are ignored by `decode()`. + This method decodes given tokens with timestamps tokens annotated, e.g. "<|1.08|>". + """ + outputs = [[]] + for token in tokens: + if token >= self.timestamp_begin: + timestamp = f"<|{(token - self.timestamp_begin) * 0.02:.2f}|>" + outputs.append(timestamp) + outputs.append([]) + else: + outputs[-1].append(token) + outputs = [s if isinstance(s, str) else self.tokenizer.decode(s) for s in outputs] + return "".join(outputs) + + @property + @lru_cache() + def eot(self) -> int: + return self.tokenizer.eos_token_id + + @property + @lru_cache() + def sot(self) -> int: + return self._get_single_token_id("<|startoftranscript|>") + + @property + @lru_cache() + def sot_lm(self) -> int: + return self._get_single_token_id("<|startoflm|>") + + @property + @lru_cache() + def sot_prev(self) -> int: + return self._get_single_token_id("<|startofprev|>") + + @property + @lru_cache() + def no_speech(self) -> int: + return self._get_single_token_id("<|nospeech|>") + + @property + @lru_cache() + def no_timestamps(self) -> int: + return self._get_single_token_id("<|notimestamps|>") + + @property + @lru_cache() + def timestamp_begin(self) -> int: + return self.tokenizer.all_special_ids[-1] + 1 + + @property + @lru_cache() + def language_token(self) -> int: + """Returns the token id corresponding to the value of the `language` field""" + if self.language is None: + raise ValueError(f"This tokenizer does not have language token configured") + + additional_tokens = dict( + zip( + self.tokenizer.additional_special_tokens, + self.tokenizer.additional_special_tokens_ids, + ) + ) + candidate = f"<|{self.language}|>" + if candidate in additional_tokens: + return additional_tokens[candidate] + + raise KeyError(f"Language {self.language} not found in tokenizer.") + + @property + @lru_cache() + def all_language_tokens(self) -> Tuple[int]: + result = [] + for token, token_id in zip( + self.tokenizer.additional_special_tokens, + self.tokenizer.additional_special_tokens_ids, + ): + if token.strip("<|>") in LANGUAGES: + result.append(token_id) + return tuple(result) + + @property + @lru_cache() + def all_language_codes(self) -> Tuple[str]: + return tuple(self.decode([l]).strip("<|>") for l in self.all_language_tokens) + + @property + @lru_cache() + def sot_sequence_including_notimestamps(self) -> Tuple[int]: + return tuple(list(self.sot_sequence) + [self.no_timestamps]) + + @property + @lru_cache() + def non_speech_tokens(self) -> Tuple[int]: + """ + Returns the list of tokens to suppress in order to avoid any speaker tags or non-speech + annotations, to prevent sampling texts that are not actually spoken in the audio, e.g. + + - ♪♪♪ + - ( SPEAKING FOREIGN LANGUAGE ) + - [DAVID] Hey there, + + keeping basic punctuations like commas, periods, question marks, exclamation points, etc. + """ + symbols = list("\"#()*+/:;<=>@[\\]^_`{|}~「」『』") + symbols += "<< >> <<< >>> -- --- -( -[ (' (\" (( )) ((( ))) [[ ]] {{ }} ♪♪ ♪♪♪".split() + + # symbols that may be a single token or multiple tokens depending on the tokenizer. + # In case they're multiple tokens, suppress the first token, which is safe because: + # These are between U+2640 and U+267F miscellaneous symbols that are okay to suppress + # in generations, and in the 3-byte UTF-8 representation they share the first two bytes. + miscellaneous = set("♩♪♫♬♭♮♯") + assert all(0x2640 <= ord(c) <= 0x267F for c in miscellaneous) + + # allow hyphens "-" and single quotes "'" between words, but not at the beginning of a word + result = {self.tokenizer.encode(" -")[0], self.tokenizer.encode(" '")[0]} + for symbol in symbols + list(miscellaneous): + for tokens in [self.tokenizer.encode(symbol), self.tokenizer.encode(" " + symbol)]: + if len(tokens) == 1 or symbol in miscellaneous: + result.add(tokens[0]) + + return tuple(sorted(result)) + + def _get_single_token_id(self, text) -> int: + tokens = self.tokenizer.encode(text) + assert len(tokens) == 1, f"{text} is not encoded as a single token" + return tokens[0] + + +@lru_cache(maxsize=None) +def build_tokenizer(name: str = "gpt2"): + os.environ["TOKENIZERS_PARALLELISM"] = "false" + path = os.path.join(os.path.dirname(__file__), "assets", name) + tokenizer = GPT2TokenizerFast.from_pretrained(path) + + specials = [ + "<|startoftranscript|>", + *[f"<|{lang}|>" for lang in LANGUAGES.keys()], + "<|translate|>", + "<|transcribe|>", + "<|startoflm|>", + "<|startofprev|>", + "<|nospeech|>", + "<|notimestamps|>", + ] + + tokenizer.add_special_tokens(dict(additional_special_tokens=specials)) + return tokenizer + + +@lru_cache(maxsize=None) +def get_tokenizer( + multilingual: bool, + *, + task: Optional[str] = None, # Literal["transcribe", "translate", None] + language: Optional[str] = None, +) -> Tokenizer: + if language is not None: + language = language.lower() + if language not in LANGUAGES: + if language in TO_LANGUAGE_CODE: + language = TO_LANGUAGE_CODE[language] + else: + raise ValueError(f"Unsupported language: {language}") + + if multilingual: + tokenizer_name = "multilingual" + task = task or "transcribe" + language = language or "en" + else: + tokenizer_name = "gpt2" + task = None + language = None + + tokenizer = build_tokenizer(name=tokenizer_name) + all_special_ids: List[int] = tokenizer.all_special_ids + sot: int = all_special_ids[1] + translate: int = all_special_ids[-6] + transcribe: int = all_special_ids[-5] + + langs = tuple(LANGUAGES.keys()) + sot_sequence = [sot] + if language is not None: + sot_sequence.append(sot + 1 + langs.index(language)) + if task is not None: + sot_sequence.append(transcribe if task == "transcribe" else translate) + + return Tokenizer(tokenizer=tokenizer, language=language, sot_sequence=tuple(sot_sequence)) diff --git a/Musetalk/musetalk/whisper/whisper/transcribe.py b/Musetalk/musetalk/whisper/whisper/transcribe.py new file mode 100644 index 0000000000000000000000000000000000000000..745e77554b90c63db69ce7da40156676c7a990de --- /dev/null +++ b/Musetalk/musetalk/whisper/whisper/transcribe.py @@ -0,0 +1,207 @@ +import argparse +import os +import warnings +from typing import List, Optional, Tuple, Union, TYPE_CHECKING + +import numpy as np +import torch +import tqdm + +from .audio import SAMPLE_RATE, N_FRAMES, HOP_LENGTH, pad_or_trim, log_mel_spectrogram +from .decoding import DecodingOptions, DecodingResult +from .tokenizer import LANGUAGES, TO_LANGUAGE_CODE, get_tokenizer +from .utils import exact_div, format_timestamp, optional_int, optional_float, str2bool, write_txt, write_vtt, write_srt + +if TYPE_CHECKING: + from .model import Whisper + + +def transcribe( + model: "Whisper", + audio: Union[str, np.ndarray, torch.Tensor], + *, + verbose: Optional[bool] = None, + temperature: Union[float, Tuple[float, ...]] = (0.0, 0.2, 0.4, 0.6, 0.8, 1.0), + compression_ratio_threshold: Optional[float] = 2.4, + logprob_threshold: Optional[float] = -1.0, + no_speech_threshold: Optional[float] = 0.6, + condition_on_previous_text: bool = True, + force_extraction: bool = False, + **decode_options, +): + """ + Transcribe an audio file using Whisper + + Parameters + ---------- + model: Whisper + The Whisper model instance + + audio: Union[str, np.ndarray, torch.Tensor] + The path to the audio file to open, or the audio waveform + + verbose: bool + Whether to display the text being decoded to the console. If True, displays all the details, + If False, displays minimal details. If None, does not display anything + + temperature: Union[float, Tuple[float, ...]] + Temperature for sampling. It can be a tuple of temperatures, which will be successfully used + upon failures according to either `compression_ratio_threshold` or `logprob_threshold`. + + compression_ratio_threshold: float + If the gzip compression ratio is above this value, treat as failed + + logprob_threshold: float + If the average log probability over sampled tokens is below this value, treat as failed + + no_speech_threshold: float + If the no_speech probability is higher than this value AND the average log probability + over sampled tokens is below `logprob_threshold`, consider the segment as silent + + condition_on_previous_text: bool + if True, the previous output of the model is provided as a prompt for the next window; + disabling may make the text inconsistent across windows, but the model becomes less prone to + getting stuck in a failure loop, such as repetition looping or timestamps going out of sync. + + decode_options: dict + Keyword arguments to construct `DecodingOptions` instances + + Returns + ------- + A dictionary containing the resulting text ("text") and segment-level details ("segments"), and + the spoken language ("language"), which is detected when `decode_options["language"]` is None. + """ + dtype = torch.float16 if decode_options.get("fp16", True) else torch.float32 + if model.device == torch.device("cpu"): + if torch.cuda.is_available(): + warnings.warn("Performing inference on CPU when CUDA is available") + if dtype == torch.float16: + warnings.warn("FP16 is not supported on CPU; using FP32 instead") + dtype = torch.float32 + + if dtype == torch.float32: + decode_options["fp16"] = False + + mel = log_mel_spectrogram(audio) + + all_segments = [] + def add_segment( + *, start: float, end: float, encoder_embeddings + ): + + all_segments.append( + { + "start": start, + "end": end, + "encoder_embeddings":encoder_embeddings, + } + ) + # show the progress bar when verbose is False (otherwise the transcribed text will be printed) + num_frames = mel.shape[-1] + seek = 0 + previous_seek_value = seek + sample_skip = 3000 # + with tqdm.tqdm(total=num_frames, unit='frames', disable=verbose is not False) as pbar: + while seek < num_frames: + # seek是开始的帧数 + end_seek = min(seek + sample_skip, num_frames) + segment = pad_or_trim(mel[:,seek:seek+sample_skip], N_FRAMES).to(model.device).to(dtype) + + single = segment.ndim == 2 + if single: + segment = segment.unsqueeze(0) + if dtype == torch.float16: + segment = segment.half() + audio_features, embeddings = model.encoder(segment, include_embeddings = True) + + encoder_embeddings = embeddings + #print(f"encoder_embeddings shape {encoder_embeddings.shape}") + add_segment( + start=seek, + end=end_seek, + #text_tokens=tokens, + #result=result, + encoder_embeddings=encoder_embeddings, + ) + seek+=sample_skip + + return dict(segments=all_segments) + + +def cli(): + from . import available_models + + parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter) + parser.add_argument("audio", nargs="+", type=str, help="audio file(s) to transcribe") + parser.add_argument("--model", default="small", choices=available_models(), help="name of the Whisper model to use") + parser.add_argument("--model_dir", type=str, default=None, help="the path to save model files; uses ~/.cache/whisper by default") + parser.add_argument("--device", default="cuda" if torch.cuda.is_available() else "cpu", help="device to use for PyTorch inference") + parser.add_argument("--output_dir", "-o", type=str, default=".", help="directory to save the outputs") + parser.add_argument("--verbose", type=str2bool, default=True, help="whether to print out the progress and debug messages") + + parser.add_argument("--task", type=str, default="transcribe", choices=["transcribe", "translate"], help="whether to perform X->X speech recognition ('transcribe') or X->English translation ('translate')") + parser.add_argument("--language", type=str, default=None, choices=sorted(LANGUAGES.keys()) + sorted([k.title() for k in TO_LANGUAGE_CODE.keys()]), help="language spoken in the audio, specify None to perform language detection") + + parser.add_argument("--temperature", type=float, default=0, help="temperature to use for sampling") + parser.add_argument("--best_of", type=optional_int, default=5, help="number of candidates when sampling with non-zero temperature") + parser.add_argument("--beam_size", type=optional_int, default=5, help="number of beams in beam search, only applicable when temperature is zero") + parser.add_argument("--patience", type=float, default=None, help="optional patience value to use in beam decoding, as in https://arxiv.org/abs/2204.05424, the default (1.0) is equivalent to conventional beam search") + parser.add_argument("--length_penalty", type=float, default=None, help="optional token length penalty coefficient (alpha) as in https://arxiv.org/abs/1609.08144, uses simple length normalization by default") + + parser.add_argument("--suppress_tokens", type=str, default="-1", help="comma-separated list of token ids to suppress during sampling; '-1' will suppress most special characters except common punctuations") + parser.add_argument("--initial_prompt", type=str, default=None, help="optional text to provide as a prompt for the first window.") + parser.add_argument("--condition_on_previous_text", type=str2bool, default=True, help="if True, provide the previous output of the model as a prompt for the next window; disabling may make the text inconsistent across windows, but the model becomes less prone to getting stuck in a failure loop") + parser.add_argument("--fp16", type=str2bool, default=True, help="whether to perform inference in fp16; True by default") + + parser.add_argument("--temperature_increment_on_fallback", type=optional_float, default=0.2, help="temperature to increase when falling back when the decoding fails to meet either of the thresholds below") + parser.add_argument("--compression_ratio_threshold", type=optional_float, default=2.4, help="if the gzip compression ratio is higher than this value, treat the decoding as failed") + parser.add_argument("--logprob_threshold", type=optional_float, default=-1.0, help="if the average log probability is lower than this value, treat the decoding as failed") + parser.add_argument("--no_speech_threshold", type=optional_float, default=0.6, help="if the probability of the <|nospeech|> token is higher than this value AND the decoding has failed due to `logprob_threshold`, consider the segment as silence") + parser.add_argument("--threads", type=optional_int, default=0, help="number of threads used by torch for CPU inference; supercedes MKL_NUM_THREADS/OMP_NUM_THREADS") + + args = parser.parse_args().__dict__ + model_name: str = args.pop("model") + model_dir: str = args.pop("model_dir") + output_dir: str = args.pop("output_dir") + device: str = args.pop("device") + os.makedirs(output_dir, exist_ok=True) + + if model_name.endswith(".en") and args["language"] not in {"en", "English"}: + if args["language"] is not None: + warnings.warn(f"{model_name} is an English-only model but receipted '{args['language']}'; using English instead.") + args["language"] = "en" + + temperature = args.pop("temperature") + temperature_increment_on_fallback = args.pop("temperature_increment_on_fallback") + if temperature_increment_on_fallback is not None: + temperature = tuple(np.arange(temperature, 1.0 + 1e-6, temperature_increment_on_fallback)) + else: + temperature = [temperature] + + threads = args.pop("threads") + if threads > 0: + torch.set_num_threads(threads) + + from . import load_model + model = load_model(model_name, device=device, download_root=model_dir) + + for audio_path in args.pop("audio"): + result = transcribe(model, audio_path, temperature=temperature, **args) + + audio_basename = os.path.basename(audio_path) + + # save TXT + with open(os.path.join(output_dir, audio_basename + ".txt"), "w", encoding="utf-8") as txt: + write_txt(result["segments"], file=txt) + + # save VTT + with open(os.path.join(output_dir, audio_basename + ".vtt"), "w", encoding="utf-8") as vtt: + write_vtt(result["segments"], file=vtt) + + # save SRT + with open(os.path.join(output_dir, audio_basename + ".srt"), "w", encoding="utf-8") as srt: + write_srt(result["segments"], file=srt) + + +if __name__ == '__main__': + cli() diff --git a/Musetalk/musetalk/whisper/whisper/utils.py b/Musetalk/musetalk/whisper/whisper/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..87c91f2e969c4d2ebfc311266bced76a52cb3ef3 --- /dev/null +++ b/Musetalk/musetalk/whisper/whisper/utils.py @@ -0,0 +1,87 @@ +import zlib +from typing import Iterator, TextIO + + +def exact_div(x, y): + assert x % y == 0 + return x // y + + +def str2bool(string): + str2val = {"True": True, "False": False} + if string in str2val: + return str2val[string] + else: + raise ValueError(f"Expected one of {set(str2val.keys())}, got {string}") + + +def optional_int(string): + return None if string == "None" else int(string) + + +def optional_float(string): + return None if string == "None" else float(string) + + +def compression_ratio(text) -> float: + return len(text) / len(zlib.compress(text.encode("utf-8"))) + + +def format_timestamp(seconds: float, always_include_hours: bool = False, decimal_marker: str = '.'): + assert seconds >= 0, "non-negative timestamp expected" + milliseconds = round(seconds * 1000.0) + + hours = milliseconds // 3_600_000 + milliseconds -= hours * 3_600_000 + + minutes = milliseconds // 60_000 + milliseconds -= minutes * 60_000 + + seconds = milliseconds // 1_000 + milliseconds -= seconds * 1_000 + + hours_marker = f"{hours:02d}:" if always_include_hours or hours > 0 else "" + return f"{hours_marker}{minutes:02d}:{seconds:02d}{decimal_marker}{milliseconds:03d}" + + +def write_txt(transcript: Iterator[dict], file: TextIO): + for segment in transcript: + print(segment['text'].strip(), file=file, flush=True) + + +def write_vtt(transcript: Iterator[dict], file: TextIO): + print("WEBVTT\n", file=file) + for segment in transcript: + print( + f"{format_timestamp(segment['start'])} --> {format_timestamp(segment['end'])}\n" + f"{segment['text'].strip().replace('-->', '->')}\n", + file=file, + flush=True, + ) + + +def write_srt(transcript: Iterator[dict], file: TextIO): + """ + Write a transcript to a file in SRT format. + + Example usage: + from pathlib import Path + from whisper.utils import write_srt + + result = transcribe(model, audio_path, temperature=temperature, **args) + + # save SRT + audio_basename = Path(audio_path).stem + with open(Path(output_dir) / (audio_basename + ".srt"), "w", encoding="utf-8") as srt: + write_srt(result["segments"], file=srt) + """ + for i, segment in enumerate(transcript, start=1): + # write srt lines + print( + f"{i}\n" + f"{format_timestamp(segment['start'], always_include_hours=True, decimal_marker=',')} --> " + f"{format_timestamp(segment['end'], always_include_hours=True, decimal_marker=',')}\n" + f"{segment['text'].strip().replace('-->', '->')}\n", + file=file, + flush=True, + ) diff --git a/Musetalk/scripts/inference.py b/Musetalk/scripts/inference.py new file mode 100644 index 0000000000000000000000000000000000000000..fe2a2345510963104b4bb46457f281ad8f0225e9 --- /dev/null +++ b/Musetalk/scripts/inference.py @@ -0,0 +1,161 @@ +import argparse +import os +from omegaconf import OmegaConf +import numpy as np +import cv2 +import torch +import glob +import pickle +from tqdm import tqdm +import copy + +from musetalk.utils.utils import get_file_type,get_video_fps,datagen +from musetalk.utils.preprocessing import get_landmark_and_bbox,read_imgs,coord_placeholder +from musetalk.utils.blending import get_image +from musetalk.utils.utils import load_all_model +import shutil + +# load model weights +audio_processor, vae, unet, pe = load_all_model() +device = torch.device("cuda" if torch.cuda.is_available() else "cpu") +timesteps = torch.tensor([0], device=device) + +@torch.no_grad() +def main(args): + global pe + if args.use_float16 is True: + pe = pe.half() + vae.vae = vae.vae.half() + unet.model = unet.model.half() + + inference_config = OmegaConf.load(args.inference_config) + print(inference_config) + for task_id in inference_config: + video_path = inference_config[task_id]["video_path"] + audio_path = inference_config[task_id]["audio_path"] + bbox_shift = inference_config[task_id].get("bbox_shift", args.bbox_shift) + + input_basename = os.path.basename(video_path).split('.')[0] + audio_basename = os.path.basename(audio_path).split('.')[0] + output_basename = f"{input_basename}_{audio_basename}" + result_img_save_path = os.path.join(args.result_dir, output_basename) # related to video & audio inputs + crop_coord_save_path = os.path.join(result_img_save_path, input_basename+".pkl") # only related to video input + os.makedirs(result_img_save_path,exist_ok =True) + + if args.output_vid_name is None: + output_vid_name = os.path.join(args.result_dir, output_basename+".mp4") + else: + output_vid_name = os.path.join(args.result_dir, args.output_vid_name) + ############################################## extract frames from source video ############################################## + if get_file_type(video_path)=="video": + save_dir_full = os.path.join(args.result_dir, input_basename) + os.makedirs(save_dir_full,exist_ok = True) + cmd = f"ffmpeg -v fatal -i {video_path} -start_number 0 {save_dir_full}/%08d.png" + os.system(cmd) + input_img_list = sorted(glob.glob(os.path.join(save_dir_full, '*.[jpJP][pnPN]*[gG]'))) + fps = get_video_fps(video_path) + elif get_file_type(video_path)=="image": + input_img_list = [video_path, ] + fps = args.fps + elif os.path.isdir(video_path): # input img folder + input_img_list = glob.glob(os.path.join(video_path, '*.[jpJP][pnPN]*[gG]')) + input_img_list = sorted(input_img_list, key=lambda x: int(os.path.splitext(os.path.basename(x))[0])) + fps = args.fps + else: + raise ValueError(f"{video_path} should be a video file, an image file or a directory of images") + + #print(input_img_list) + ############################################## extract audio feature ############################################## + whisper_feature = audio_processor.audio2feat(audio_path) + whisper_chunks = audio_processor.feature2chunks(feature_array=whisper_feature,fps=fps) + ############################################## preprocess input image ############################################## + if os.path.exists(crop_coord_save_path) and args.use_saved_coord: + print("using extracted coordinates") + with open(crop_coord_save_path,'rb') as f: + coord_list = pickle.load(f) + frame_list = read_imgs(input_img_list) + else: + print("extracting landmarks...time consuming") + coord_list, frame_list = get_landmark_and_bbox(input_img_list, bbox_shift) + with open(crop_coord_save_path, 'wb') as f: + pickle.dump(coord_list, f) + + i = 0 + input_latent_list = [] + for bbox, frame in zip(coord_list, frame_list): + if bbox == coord_placeholder: + continue + x1, y1, x2, y2 = bbox + crop_frame = frame[y1:y2, x1:x2] + crop_frame = cv2.resize(crop_frame,(256,256),interpolation = cv2.INTER_LANCZOS4) + latents = vae.get_latents_for_unet(crop_frame) + input_latent_list.append(latents) + + # to smooth the first and the last frame + frame_list_cycle = frame_list + frame_list[::-1] + coord_list_cycle = coord_list + coord_list[::-1] + input_latent_list_cycle = input_latent_list + input_latent_list[::-1] + ############################################## inference batch by batch ############################################## + print("start inference") + video_num = len(whisper_chunks) + batch_size = args.batch_size + gen = datagen(whisper_chunks,input_latent_list_cycle,batch_size) + res_frame_list = [] + for i, (whisper_batch,latent_batch) in enumerate(tqdm(gen,total=int(np.ceil(float(video_num)/batch_size)))): + audio_feature_batch = torch.from_numpy(whisper_batch) + audio_feature_batch = audio_feature_batch.to(device=unet.device, + dtype=unet.model.dtype) # torch, B, 5*N,384 + audio_feature_batch = pe(audio_feature_batch) + latent_batch = latent_batch.to(dtype=unet.model.dtype) + + pred_latents = unet.model(latent_batch, timesteps, encoder_hidden_states=audio_feature_batch).sample + recon = vae.decode_latents(pred_latents) + for res_frame in recon: + res_frame_list.append(res_frame) + + ############################################## pad to full image ############################################## + print("pad talking image to original video") + for i, res_frame in enumerate(tqdm(res_frame_list)): + bbox = coord_list_cycle[i%(len(coord_list_cycle))] + ori_frame = copy.deepcopy(frame_list_cycle[i%(len(frame_list_cycle))]) + x1, y1, x2, y2 = bbox + try: + res_frame = cv2.resize(res_frame.astype(np.uint8),(x2-x1,y2-y1)) + except: +# print(bbox) + continue + + combine_frame = get_image(ori_frame,res_frame,bbox) + cv2.imwrite(f"{result_img_save_path}/{str(i).zfill(8)}.png",combine_frame) + + cmd_img2video = f"ffmpeg -y -v warning -r {fps} -f image2 -i {result_img_save_path}/%08d.png -vcodec libx264 -vf format=rgb24,scale=out_color_matrix=bt709,format=yuv420p -crf 18 temp.mp4" + print(cmd_img2video) + os.system(cmd_img2video) + + cmd_combine_audio = f"ffmpeg -y -v warning -i {audio_path} -i temp.mp4 {output_vid_name}" + print(cmd_combine_audio) + os.system(cmd_combine_audio) + + os.remove("temp.mp4") + shutil.rmtree(result_img_save_path) + print(f"result is save to {output_vid_name}") + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--inference_config", type=str, default="configs/inference/test_img.yaml") + parser.add_argument("--bbox_shift", type=int, default=0) + parser.add_argument("--result_dir", default='./results', help="path to output") + + parser.add_argument("--fps", type=int, default=25) + parser.add_argument("--batch_size", type=int, default=8) + parser.add_argument("--output_vid_name", type=str, default=None) + parser.add_argument("--use_saved_coord", + action="store_true", + help='use saved coordinate to save time') + parser.add_argument("--use_float16", + action="store_true", + help="Whether use float16 to speed up inference", + ) + + args = parser.parse_args() + main(args) diff --git a/Musetalk/scripts/realtime_inference.py b/Musetalk/scripts/realtime_inference.py new file mode 100644 index 0000000000000000000000000000000000000000..18bb8567692d06fc2448b302f86e2433e70e0a6d --- /dev/null +++ b/Musetalk/scripts/realtime_inference.py @@ -0,0 +1,335 @@ +import argparse +import os +from omegaconf import OmegaConf +import numpy as np +import cv2 +import torch +import glob +import pickle +import sys +from tqdm import tqdm +import copy +import json +from musetalk.utils.utils import get_file_type,get_video_fps,datagen +from musetalk.utils.preprocessing import get_landmark_and_bbox,read_imgs,coord_placeholder +from musetalk.utils.blending import get_image,get_image_prepare_material,get_image_blending +from musetalk.utils.utils import load_all_model +import shutil + +import threading +import queue + +import time + +# load model weights +audio_processor, vae, unet, pe = load_all_model() +device = torch.device("cuda" if torch.cuda.is_available() else "cpu") +timesteps = torch.tensor([0], device=device) +pe = pe.half() +vae.vae = vae.vae.half() +unet.model = unet.model.half() + +def video2imgs(vid_path, save_path, ext = '.png',cut_frame = 10000000): + cap = cv2.VideoCapture(vid_path) + count = 0 + while True: + if count > cut_frame: + break + ret, frame = cap.read() + if ret: + cv2.imwrite(f"{save_path}/{count:08d}.png", frame) + count += 1 + else: + break + +def osmakedirs(path_list): + for path in path_list: + os.makedirs(path) if not os.path.exists(path) else None + + +@torch.no_grad() +class Avatar: + def __init__(self, avatar_id, video_path, bbox_shift, batch_size, preparation): + self.avatar_id = avatar_id + self.video_path = video_path + self.bbox_shift = bbox_shift + self.avatar_path = f"./results/avatars/{avatar_id}" + self.full_imgs_path = f"{self.avatar_path}/full_imgs" + self.coords_path = f"{self.avatar_path}/coords.pkl" + self.latents_out_path= f"{self.avatar_path}/latents.pt" + self.video_out_path = f"{self.avatar_path}/vid_output/" + self.mask_out_path =f"{self.avatar_path}/mask" + self.mask_coords_path =f"{self.avatar_path}/mask_coords.pkl" + self.avatar_info_path = f"{self.avatar_path}/avator_info.json" + self.avatar_info = { + "avatar_id":avatar_id, + "video_path":video_path, + "bbox_shift":bbox_shift + } + self.preparation = preparation + self.batch_size = batch_size + self.idx = 0 + self.init() + + def init(self): + if self.preparation: + if os.path.exists(self.avatar_path): + response = input(f"{self.avatar_id} exists, Do you want to re-create it ? (y/n)") + if response.lower() == "y": + shutil.rmtree(self.avatar_path) + print("*********************************") + print(f" creating avator: {self.avatar_id}") + print("*********************************") + osmakedirs([self.avatar_path,self.full_imgs_path,self.video_out_path,self.mask_out_path]) + self.prepare_material() + else: + self.input_latent_list_cycle = torch.load(self.latents_out_path) + with open(self.coords_path, 'rb') as f: + self.coord_list_cycle = pickle.load(f) + input_img_list = glob.glob(os.path.join(self.full_imgs_path, '*.[jpJP][pnPN]*[gG]')) + input_img_list = sorted(input_img_list, key=lambda x: int(os.path.splitext(os.path.basename(x))[0])) + self.frame_list_cycle = read_imgs(input_img_list) + with open(self.mask_coords_path, 'rb') as f: + self.mask_coords_list_cycle = pickle.load(f) + input_mask_list = glob.glob(os.path.join(self.mask_out_path, '*.[jpJP][pnPN]*[gG]')) + input_mask_list = sorted(input_mask_list, key=lambda x: int(os.path.splitext(os.path.basename(x))[0])) + self.mask_list_cycle = read_imgs(input_mask_list) + else: + print("*********************************") + print(f" creating avator: {self.avatar_id}") + print("*********************************") + osmakedirs([self.avatar_path,self.full_imgs_path,self.video_out_path,self.mask_out_path]) + self.prepare_material() + else: + if not os.path.exists(self.avatar_path): + print(f"{self.avatar_id} does not exist, you should set preparation to True") + sys.exit() + + with open(self.avatar_info_path, "r") as f: + avatar_info = json.load(f) + + if avatar_info['bbox_shift'] != self.avatar_info['bbox_shift']: + response = input(f" 【bbox_shift】 is changed, you need to re-create it ! (c/continue)") + if response.lower() == "c": + shutil.rmtree(self.avatar_path) + print("*********************************") + print(f" creating avator: {self.avatar_id}") + print("*********************************") + osmakedirs([self.avatar_path,self.full_imgs_path,self.video_out_path,self.mask_out_path]) + self.prepare_material() + else: + sys.exit() + else: + self.input_latent_list_cycle = torch.load(self.latents_out_path) + with open(self.coords_path, 'rb') as f: + self.coord_list_cycle = pickle.load(f) + input_img_list = glob.glob(os.path.join(self.full_imgs_path, '*.[jpJP][pnPN]*[gG]')) + input_img_list = sorted(input_img_list, key=lambda x: int(os.path.splitext(os.path.basename(x))[0])) + self.frame_list_cycle = read_imgs(input_img_list) + with open(self.mask_coords_path, 'rb') as f: + self.mask_coords_list_cycle = pickle.load(f) + input_mask_list = glob.glob(os.path.join(self.mask_out_path, '*.[jpJP][pnPN]*[gG]')) + input_mask_list = sorted(input_mask_list, key=lambda x: int(os.path.splitext(os.path.basename(x))[0])) + self.mask_list_cycle = read_imgs(input_mask_list) + + def prepare_material(self): + print("preparing data materials ... ...") + with open(self.avatar_info_path, "w") as f: + json.dump(self.avatar_info, f) + + if os.path.isfile(self.video_path): + video2imgs(self.video_path, self.full_imgs_path, ext = 'png') + else: + print(f"copy files in {self.video_path}") + files = os.listdir(self.video_path) + files.sort() + files = [file for file in files if file.split(".")[-1]=="png"] + for filename in files: + shutil.copyfile(f"{self.video_path}/{filename}", f"{self.full_imgs_path}/{filename}") + input_img_list = sorted(glob.glob(os.path.join(self.full_imgs_path, '*.[jpJP][pnPN]*[gG]'))) + + print("extracting landmarks...") + coord_list, frame_list = get_landmark_and_bbox(input_img_list, self.bbox_shift) + input_latent_list = [] + idx = -1 + # maker if the bbox is not sufficient + coord_placeholder = (0.0,0.0,0.0,0.0) + for bbox, frame in zip(coord_list, frame_list): + idx = idx + 1 + if bbox == coord_placeholder: + continue + x1, y1, x2, y2 = bbox + crop_frame = frame[y1:y2, x1:x2] + resized_crop_frame = cv2.resize(crop_frame,(256,256),interpolation = cv2.INTER_LANCZOS4) + latents = vae.get_latents_for_unet(resized_crop_frame) + input_latent_list.append(latents) + + self.frame_list_cycle = frame_list + frame_list[::-1] + self.coord_list_cycle = coord_list + coord_list[::-1] + self.input_latent_list_cycle = input_latent_list + input_latent_list[::-1] + self.mask_coords_list_cycle = [] + self.mask_list_cycle = [] + + for i,frame in enumerate(tqdm(self.frame_list_cycle)): + cv2.imwrite(f"{self.full_imgs_path}/{str(i).zfill(8)}.png",frame) + + face_box = self.coord_list_cycle[i] + mask,crop_box = get_image_prepare_material(frame,face_box) + cv2.imwrite(f"{self.mask_out_path}/{str(i).zfill(8)}.png",mask) + self.mask_coords_list_cycle += [crop_box] + self.mask_list_cycle.append(mask) + + with open(self.mask_coords_path, 'wb') as f: + pickle.dump(self.mask_coords_list_cycle, f) + + with open(self.coords_path, 'wb') as f: + pickle.dump(self.coord_list_cycle, f) + + torch.save(self.input_latent_list_cycle, os.path.join(self.latents_out_path)) + # + + def process_frames(self, + res_frame_queue, + video_len, + skip_save_images): + print(video_len) + while True: + if self.idx>=video_len-1: + break + try: + start = time.time() + res_frame = res_frame_queue.get(block=True, timeout=1) + except queue.Empty: + continue + + bbox = self.coord_list_cycle[self.idx%(len(self.coord_list_cycle))] + ori_frame = copy.deepcopy(self.frame_list_cycle[self.idx%(len(self.frame_list_cycle))]) + x1, y1, x2, y2 = bbox + try: + res_frame = cv2.resize(res_frame.astype(np.uint8),(x2-x1,y2-y1)) + except: + continue + mask = self.mask_list_cycle[self.idx%(len(self.mask_list_cycle))] + mask_crop_box = self.mask_coords_list_cycle[self.idx%(len(self.mask_coords_list_cycle))] + #combine_frame = get_image(ori_frame,res_frame,bbox) + combine_frame = get_image_blending(ori_frame,res_frame,bbox,mask,mask_crop_box) + + if skip_save_images is False: + cv2.imwrite(f"{self.avatar_path}/tmp/{str(self.idx).zfill(8)}.png",combine_frame) + self.idx = self.idx + 1 + + def inference(self, + audio_path, + out_vid_name, + fps, + skip_save_images): + os.makedirs(self.avatar_path+'/tmp',exist_ok =True) + print("start inference") + ############################################## extract audio feature ############################################## + start_time = time.time() + whisper_feature = audio_processor.audio2feat(audio_path) + whisper_chunks = audio_processor.feature2chunks(feature_array=whisper_feature,fps=fps) + print(f"processing audio:{audio_path} costs {(time.time() - start_time) * 1000}ms") + ############################################## inference batch by batch ############################################## + video_num = len(whisper_chunks) + res_frame_queue = queue.Queue() + self.idx = 0 + # # Create a sub-thread and start it + process_thread = threading.Thread(target=self.process_frames, args=(res_frame_queue, video_num, skip_save_images)) + process_thread.start() + + gen = datagen(whisper_chunks, + self.input_latent_list_cycle, + self.batch_size) + start_time = time.time() + res_frame_list = [] + + for i, (whisper_batch,latent_batch) in enumerate(tqdm(gen,total=int(np.ceil(float(video_num)/self.batch_size)))): + audio_feature_batch = torch.from_numpy(whisper_batch) + audio_feature_batch = audio_feature_batch.to(device=unet.device, + dtype=unet.model.dtype) + audio_feature_batch = pe(audio_feature_batch) + latent_batch = latent_batch.to(dtype=unet.model.dtype) + + pred_latents = unet.model(latent_batch, + timesteps, + encoder_hidden_states=audio_feature_batch).sample + recon = vae.decode_latents(pred_latents) + for res_frame in recon: + res_frame_queue.put(res_frame) + # Close the queue and sub-thread after all tasks are completed + process_thread.join() + + if args.skip_save_images is True: + print('Total process time of {} frames without saving images = {}s'.format( + video_num, + time.time()-start_time)) + else: + print('Total process time of {} frames including saving images = {}s'.format( + video_num, + time.time()-start_time)) + + if out_vid_name is not None and args.skip_save_images is False: + # optional + cmd_img2video = f"ffmpeg -y -v warning -r {fps} -f image2 -i {self.avatar_path}/tmp/%08d.png -vcodec libx264 -vf format=rgb24,scale=out_color_matrix=bt709,format=yuv420p -crf 18 {self.avatar_path}/temp.mp4" + print(cmd_img2video) + os.system(cmd_img2video) + + output_vid = os.path.join(self.video_out_path, out_vid_name+".mp4") # on + cmd_combine_audio = f"ffmpeg -y -v warning -i {audio_path} -i {self.avatar_path}/temp.mp4 {output_vid}" + print(cmd_combine_audio) + os.system(cmd_combine_audio) + + os.remove(f"{self.avatar_path}/temp.mp4") + shutil.rmtree(f"{self.avatar_path}/tmp") + print(f"result is save to {output_vid}") + print("\n") + + +if __name__ == "__main__": + ''' + This script is used to simulate online chatting and applies necessary pre-processing such as face detection and face parsing in advance. During online chatting, only UNet and the VAE decoder are involved, which makes MuseTalk real-time. + ''' + + parser = argparse.ArgumentParser() + parser.add_argument("--inference_config", + type=str, + default="configs/inference/realtime.yaml", + ) + parser.add_argument("--fps", + type=int, + default=25, + ) + parser.add_argument("--batch_size", + type=int, + default=4, + ) + parser.add_argument("--skip_save_images", + action="store_true", + help="Whether skip saving images for better generation speed calculation", + ) + + args = parser.parse_args() + + inference_config = OmegaConf.load(args.inference_config) + print(inference_config) + + + for avatar_id in inference_config: + data_preparation = inference_config[avatar_id]["preparation"] + video_path = inference_config[avatar_id]["video_path"] + bbox_shift = inference_config[avatar_id]["bbox_shift"] + avatar = Avatar( + avatar_id = avatar_id, + video_path = video_path, + bbox_shift = bbox_shift, + batch_size = args.batch_size, + preparation= data_preparation) + + audio_clips = inference_config[avatar_id]["audio_clips"] + for audio_num, audio_path in audio_clips.items(): + print("Inferring using:",audio_path) + avatar.inference(audio_path, + audio_num, + args.fps, + args.skip_save_images) diff --git a/NeRF/data_utils/deepspeech_features/README.md b/NeRF/data_utils/deepspeech_features/README.md new file mode 100644 index 0000000000000000000000000000000000000000..c9f6c6be242e85f36f9bfb8b673b610506032277 --- /dev/null +++ b/NeRF/data_utils/deepspeech_features/README.md @@ -0,0 +1,20 @@ +# Routines for DeepSpeech features processing +Several routines for [DeepSpeech](https://github.com/mozilla/DeepSpeech) features processing, like speech features generation for [VOCA](https://github.com/TimoBolkart/voca) model. + +## Installation + +``` +pip3 install -r requirements.txt +``` + +## Usage + +Generate wav files: +``` +python3 extract_wav.py --in-video= +``` + +Generate files with DeepSpeech features: +``` +python3 extract_ds_features.py --input= +``` diff --git a/NeRF/data_utils/deepspeech_features/deepspeech_features.py b/NeRF/data_utils/deepspeech_features/deepspeech_features.py new file mode 100644 index 0000000000000000000000000000000000000000..2c50f21c281d48a79814de1e228fcad3ccd0d9fa --- /dev/null +++ b/NeRF/data_utils/deepspeech_features/deepspeech_features.py @@ -0,0 +1,275 @@ +""" + DeepSpeech features processing routines. + NB: Based on VOCA code. See the corresponding license restrictions. +""" + +__all__ = ['conv_audios_to_deepspeech'] + +import numpy as np +import warnings +import resampy +from scipy.io import wavfile +from python_speech_features import mfcc +import tensorflow.compat.v1 as tf +tf.disable_v2_behavior() + +def conv_audios_to_deepspeech(audios, + out_files, + num_frames_info, + deepspeech_pb_path, + audio_window_size=1, + audio_window_stride=1): + """ + Convert list of audio files into files with DeepSpeech features. + + Parameters + ---------- + audios : list of str or list of None + Paths to input audio files. + out_files : list of str + Paths to output files with DeepSpeech features. + num_frames_info : list of int + List of numbers of frames. + deepspeech_pb_path : str + Path to DeepSpeech 0.1.0 frozen model. + audio_window_size : int, default 16 + Audio window size. + audio_window_stride : int, default 1 + Audio window stride. + """ + # deepspeech_pb_path="/disk4/keyu/DeepSpeech/deepspeech-0.9.2-models.pbmm" + graph, logits_ph, input_node_ph, input_lengths_ph = prepare_deepspeech_net( + deepspeech_pb_path) + + with tf.compat.v1.Session(graph=graph) as sess: + for audio_file_path, out_file_path, num_frames in zip(audios, out_files, num_frames_info): + print(audio_file_path) + print(out_file_path) + audio_sample_rate, audio = wavfile.read(audio_file_path) + if audio.ndim != 1: + warnings.warn( + "Audio has multiple channels, the first channel is used") + audio = audio[:, 0] + ds_features = pure_conv_audio_to_deepspeech( + audio=audio, + audio_sample_rate=audio_sample_rate, + audio_window_size=audio_window_size, + audio_window_stride=audio_window_stride, + num_frames=num_frames, + net_fn=lambda x: sess.run( + logits_ph, + feed_dict={ + input_node_ph: x[np.newaxis, ...], + input_lengths_ph: [x.shape[0]]})) + + net_output = ds_features.reshape(-1, 29) + win_size = 16 + zero_pad = np.zeros((int(win_size / 2), net_output.shape[1])) + net_output = np.concatenate( + (zero_pad, net_output, zero_pad), axis=0) + windows = [] + for window_index in range(0, net_output.shape[0] - win_size, 2): + windows.append( + net_output[window_index:window_index + win_size]) + print(np.array(windows).shape) + np.save(out_file_path, np.array(windows)) + + +def prepare_deepspeech_net(deepspeech_pb_path): + """ + Load and prepare DeepSpeech network. + + Parameters + ---------- + deepspeech_pb_path : str + Path to DeepSpeech 0.1.0 frozen model. + + Returns + ------- + graph : obj + ThensorFlow graph. + logits_ph : obj + ThensorFlow placeholder for `logits`. + input_node_ph : obj + ThensorFlow placeholder for `input_node`. + input_lengths_ph : obj + ThensorFlow placeholder for `input_lengths`. + """ + # Load graph and place_holders: + with tf.io.gfile.GFile(deepspeech_pb_path, "rb") as f: + graph_def = tf.compat.v1.GraphDef() + graph_def.ParseFromString(f.read()) + + graph = tf.compat.v1.get_default_graph() + tf.import_graph_def(graph_def, name="deepspeech") + logits_ph = graph.get_tensor_by_name("deepspeech/logits:0") + input_node_ph = graph.get_tensor_by_name("deepspeech/input_node:0") + input_lengths_ph = graph.get_tensor_by_name("deepspeech/input_lengths:0") + + return graph, logits_ph, input_node_ph, input_lengths_ph + + +def pure_conv_audio_to_deepspeech(audio, + audio_sample_rate, + audio_window_size, + audio_window_stride, + num_frames, + net_fn): + """ + Core routine for converting audion into DeepSpeech features. + + Parameters + ---------- + audio : np.array + Audio data. + audio_sample_rate : int + Audio sample rate. + audio_window_size : int + Audio window size. + audio_window_stride : int + Audio window stride. + num_frames : int or None + Numbers of frames. + net_fn : func + Function for DeepSpeech model call. + + Returns + ------- + np.array + DeepSpeech features. + """ + target_sample_rate = 16000 + if audio_sample_rate != target_sample_rate: + resampled_audio = resampy.resample( + x=audio.astype(np.float), + sr_orig=audio_sample_rate, + sr_new=target_sample_rate) + else: + resampled_audio = audio.astype(np.float32) + input_vector = conv_audio_to_deepspeech_input_vector( + audio=resampled_audio.astype(np.int16), + sample_rate=target_sample_rate, + num_cepstrum=26, + num_context=9) + + network_output = net_fn(input_vector) + # print(network_output.shape) + + deepspeech_fps = 50 + video_fps = 50 # Change this option if video fps is different + audio_len_s = float(audio.shape[0]) / audio_sample_rate + if num_frames is None: + num_frames = int(round(audio_len_s * video_fps)) + else: + video_fps = num_frames / audio_len_s + network_output = interpolate_features( + features=network_output[:, 0], + input_rate=deepspeech_fps, + output_rate=video_fps, + output_len=num_frames) + + # Make windows: + zero_pad = np.zeros((int(audio_window_size / 2), network_output.shape[1])) + network_output = np.concatenate( + (zero_pad, network_output, zero_pad), axis=0) + windows = [] + for window_index in range(0, network_output.shape[0] - audio_window_size, audio_window_stride): + windows.append( + network_output[window_index:window_index + audio_window_size]) + + return np.array(windows) + + +def conv_audio_to_deepspeech_input_vector(audio, + sample_rate, + num_cepstrum, + num_context): + """ + Convert audio raw data into DeepSpeech input vector. + + Parameters + ---------- + audio : np.array + Audio data. + audio_sample_rate : int + Audio sample rate. + num_cepstrum : int + Number of cepstrum. + num_context : int + Number of context. + + Returns + ------- + np.array + DeepSpeech input vector. + """ + # Get mfcc coefficients: + features = mfcc( + signal=audio, + samplerate=sample_rate, + numcep=num_cepstrum) + + # We only keep every second feature (BiRNN stride = 2): + features = features[::2] + + # One stride per time step in the input: + num_strides = len(features) + + # Add empty initial and final contexts: + empty_context = np.zeros((num_context, num_cepstrum), dtype=features.dtype) + features = np.concatenate((empty_context, features, empty_context)) + + # Create a view into the array with overlapping strides of size + # numcontext (past) + 1 (present) + numcontext (future): + window_size = 2 * num_context + 1 + train_inputs = np.lib.stride_tricks.as_strided( + features, + shape=(num_strides, window_size, num_cepstrum), + strides=(features.strides[0], + features.strides[0], features.strides[1]), + writeable=False) + + # Flatten the second and third dimensions: + train_inputs = np.reshape(train_inputs, [num_strides, -1]) + + train_inputs = np.copy(train_inputs) + train_inputs = (train_inputs - np.mean(train_inputs)) / \ + np.std(train_inputs) + + return train_inputs + + +def interpolate_features(features, + input_rate, + output_rate, + output_len): + """ + Interpolate DeepSpeech features. + + Parameters + ---------- + features : np.array + DeepSpeech features. + input_rate : int + input rate (FPS). + output_rate : int + Output rate (FPS). + output_len : int + Output data length. + + Returns + ------- + np.array + Interpolated data. + """ + input_len = features.shape[0] + num_features = features.shape[1] + input_timestamps = np.arange(input_len) / float(input_rate) + output_timestamps = np.arange(output_len) / float(output_rate) + output_features = np.zeros((output_len, num_features)) + for feature_idx in range(num_features): + output_features[:, feature_idx] = np.interp( + x=output_timestamps, + xp=input_timestamps, + fp=features[:, feature_idx]) + return output_features diff --git a/NeRF/data_utils/deepspeech_features/deepspeech_store.py b/NeRF/data_utils/deepspeech_features/deepspeech_store.py new file mode 100644 index 0000000000000000000000000000000000000000..4c2f603e88fe644eb1025e3088de3b09341ad9fd --- /dev/null +++ b/NeRF/data_utils/deepspeech_features/deepspeech_store.py @@ -0,0 +1,172 @@ +""" + Routines for loading DeepSpeech model. +""" + +__all__ = ['get_deepspeech_model_file'] + +import os +import zipfile +import logging +import hashlib + + +deepspeech_features_repo_url = 'https://github.com/osmr/deepspeech_features' + + +def get_deepspeech_model_file(local_model_store_dir_path=os.path.join("~", ".tensorflow", "models")): + """ + Return location for the pretrained on local file system. This function will download from online model zoo when + model cannot be found or has mismatch. The root directory will be created if it doesn't exist. + + Parameters + ---------- + local_model_store_dir_path : str, default $TENSORFLOW_HOME/models + Location for keeping the model parameters. + + Returns + ------- + file_path + Path to the requested pretrained model file. + """ + sha1_hash = "b90017e816572ddce84f5843f1fa21e6a377975e" + file_name = "deepspeech-0_1_0-b90017e8.pb" + local_model_store_dir_path = os.path.expanduser(local_model_store_dir_path) + file_path = os.path.join(local_model_store_dir_path, file_name) + if os.path.exists(file_path): + if _check_sha1(file_path, sha1_hash): + return file_path + else: + logging.warning("Mismatch in the content of model file detected. Downloading again.") + else: + logging.info("Model file not found. Downloading to {}.".format(file_path)) + + if not os.path.exists(local_model_store_dir_path): + os.makedirs(local_model_store_dir_path) + + zip_file_path = file_path + ".zip" + _download( + url="{repo_url}/releases/download/{repo_release_tag}/{file_name}.zip".format( + repo_url=deepspeech_features_repo_url, + repo_release_tag="v0.0.1", + file_name=file_name), + path=zip_file_path, + overwrite=True) + with zipfile.ZipFile(zip_file_path) as zf: + zf.extractall(local_model_store_dir_path) + os.remove(zip_file_path) + + if _check_sha1(file_path, sha1_hash): + return file_path + else: + raise ValueError("Downloaded file has different hash. Please try again.") + + +def _download(url, path=None, overwrite=False, sha1_hash=None, retries=5, verify_ssl=True): + """ + Download an given URL + + Parameters + ---------- + url : str + URL to download + path : str, optional + Destination path to store downloaded file. By default stores to the + current directory with same name as in url. + overwrite : bool, optional + Whether to overwrite destination file if already exists. + sha1_hash : str, optional + Expected sha1 hash in hexadecimal digits. Will ignore existing file when hash is specified + but doesn't match. + retries : integer, default 5 + The number of times to attempt the download in case of failure or non 200 return codes + verify_ssl : bool, default True + Verify SSL certificates. + + Returns + ------- + str + The file path of the downloaded file. + """ + import warnings + try: + import requests + except ImportError: + class requests_failed_to_import(object): + pass + requests = requests_failed_to_import + + if path is None: + fname = url.split("/")[-1] + # Empty filenames are invalid + assert fname, "Can't construct file-name from this URL. Please set the `path` option manually." + else: + path = os.path.expanduser(path) + if os.path.isdir(path): + fname = os.path.join(path, url.split("/")[-1]) + else: + fname = path + assert retries >= 0, "Number of retries should be at least 0" + + if not verify_ssl: + warnings.warn( + "Unverified HTTPS request is being made (verify_ssl=False). " + "Adding certificate verification is strongly advised.") + + if overwrite or not os.path.exists(fname) or (sha1_hash and not _check_sha1(fname, sha1_hash)): + dirname = os.path.dirname(os.path.abspath(os.path.expanduser(fname))) + if not os.path.exists(dirname): + os.makedirs(dirname) + while retries + 1 > 0: + # Disable pyling too broad Exception + # pylint: disable=W0703 + try: + print("Downloading {} from {}...".format(fname, url)) + r = requests.get(url, stream=True, verify=verify_ssl) + if r.status_code != 200: + raise RuntimeError("Failed downloading url {}".format(url)) + with open(fname, "wb") as f: + for chunk in r.iter_content(chunk_size=1024): + if chunk: # filter out keep-alive new chunks + f.write(chunk) + if sha1_hash and not _check_sha1(fname, sha1_hash): + raise UserWarning("File {} is downloaded but the content hash does not match." + " The repo may be outdated or download may be incomplete. " + "If the `repo_url` is overridden, consider switching to " + "the default repo.".format(fname)) + break + except Exception as e: + retries -= 1 + if retries <= 0: + raise e + else: + print("download failed, retrying, {} attempt{} left" + .format(retries, "s" if retries > 1 else "")) + + return fname + + +def _check_sha1(filename, sha1_hash): + """ + Check whether the sha1 hash of the file content matches the expected hash. + + Parameters + ---------- + filename : str + Path to the file. + sha1_hash : str + Expected sha1 hash in hexadecimal digits. + + Returns + ------- + bool + Whether the file content matches the expected hash. + """ + sha1 = hashlib.sha1() + with open(filename, "rb") as f: + while True: + data = f.read(1048576) + if not data: + break + sha1.update(data) + + return sha1.hexdigest() == sha1_hash diff --git a/NeRF/data_utils/deepspeech_features/extract_ds_features.py b/NeRF/data_utils/deepspeech_features/extract_ds_features.py new file mode 100644 index 0000000000000000000000000000000000000000..db525d141776ebd4ae53cb0bf787494e06f724b9 --- /dev/null +++ b/NeRF/data_utils/deepspeech_features/extract_ds_features.py @@ -0,0 +1,132 @@ +""" + Script for extracting DeepSpeech features from audio file. +""" + +import os +import argparse +import numpy as np +import pandas as pd +from deepspeech_store import get_deepspeech_model_file +from deepspeech_features import conv_audios_to_deepspeech + + +def parse_args(): + """ + Create python script parameters. + Returns + ------- + ArgumentParser + Resulted args. + """ + parser = argparse.ArgumentParser( + description="Extract DeepSpeech features from audio file", + formatter_class=argparse.ArgumentDefaultsHelpFormatter) + parser.add_argument( + "--input", + type=str, + required=True, + help="path to input audio file or directory") + parser.add_argument( + "--output", + type=str, + help="path to output file with DeepSpeech features") + parser.add_argument( + "--deepspeech", + type=str, + help="path to DeepSpeech 0.1.0 frozen model") + parser.add_argument( + "--metainfo", + type=str, + help="path to file with meta-information") + + args = parser.parse_args() + return args + + +def extract_features(in_audios, + out_files, + deepspeech_pb_path, + metainfo_file_path=None): + """ + Real extract audio from video file. + Parameters + ---------- + in_audios : list of str + Paths to input audio files. + out_files : list of str + Paths to output files with DeepSpeech features. + deepspeech_pb_path : str + Path to DeepSpeech 0.1.0 frozen model. + metainfo_file_path : str, default None + Path to file with meta-information. + """ + #deepspeech_pb_path="/disk4/keyu/DeepSpeech/deepspeech-0.9.2-models.pbmm" + if metainfo_file_path is None: + num_frames_info = [None] * len(in_audios) + else: + train_df = pd.read_csv( + metainfo_file_path, + sep="\t", + index_col=False, + dtype={"Id": np.int, "File": np.unicode, "Count": np.int}) + num_frames_info = train_df["Count"].values + assert (len(num_frames_info) == len(in_audios)) + + for i, in_audio in enumerate(in_audios): + if not out_files[i]: + file_stem, _ = os.path.splitext(in_audio) + out_files[i] = file_stem + ".npy" + #print(out_files[i]) + conv_audios_to_deepspeech( + audios=in_audios, + out_files=out_files, + num_frames_info=num_frames_info, + deepspeech_pb_path=deepspeech_pb_path) + + +def main(): + """ + Main body of script. + """ + args = parse_args() + in_audio = os.path.expanduser(args.input) + if not os.path.exists(in_audio): + raise Exception("Input file/directory doesn't exist: {}".format(in_audio)) + deepspeech_pb_path = args.deepspeech + #add + deepspeech_pb_path = True + args.deepspeech = '~/.tensorflow/models/deepspeech-0_1_0-b90017e8.pb' + #deepspeech_pb_path="/disk4/keyu/DeepSpeech/deepspeech-0.9.2-models.pbmm" + if deepspeech_pb_path is None: + deepspeech_pb_path = "" + if deepspeech_pb_path: + deepspeech_pb_path = os.path.expanduser(args.deepspeech) + if not os.path.exists(deepspeech_pb_path): + deepspeech_pb_path = get_deepspeech_model_file() + if os.path.isfile(in_audio): + extract_features( + in_audios=[in_audio], + out_files=[args.output], + deepspeech_pb_path=deepspeech_pb_path, + metainfo_file_path=args.metainfo) + else: + audio_file_paths = [] + for file_name in os.listdir(in_audio): + if not os.path.isfile(os.path.join(in_audio, file_name)): + continue + _, file_ext = os.path.splitext(file_name) + if file_ext.lower() == ".wav": + audio_file_path = os.path.join(in_audio, file_name) + audio_file_paths.append(audio_file_path) + audio_file_paths = sorted(audio_file_paths) + out_file_paths = [""] * len(audio_file_paths) + extract_features( + in_audios=audio_file_paths, + out_files=out_file_paths, + deepspeech_pb_path=deepspeech_pb_path, + metainfo_file_path=args.metainfo) + + +if __name__ == "__main__": + main() + diff --git a/NeRF/data_utils/deepspeech_features/extract_wav.py b/NeRF/data_utils/deepspeech_features/extract_wav.py new file mode 100644 index 0000000000000000000000000000000000000000..5f39e8b0e231762518c20cd88dee532624059584 --- /dev/null +++ b/NeRF/data_utils/deepspeech_features/extract_wav.py @@ -0,0 +1,87 @@ +""" + Script for extracting audio (16-bit, mono, 22000 Hz) from video file. +""" + +import os +import argparse +import subprocess + + +def parse_args(): + """ + Create python script parameters. + + Returns + ------- + ArgumentParser + Resulted args. + """ + parser = argparse.ArgumentParser( + description="Extract audio from video file", + formatter_class=argparse.ArgumentDefaultsHelpFormatter) + parser.add_argument( + "--in-video", + type=str, + required=True, + help="path to input video file or directory") + parser.add_argument( + "--out-audio", + type=str, + help="path to output audio file") + + args = parser.parse_args() + return args + + +def extract_audio(in_video, + out_audio): + """ + Real extract audio from video file. + + Parameters + ---------- + in_video : str + Path to input video file. + out_audio : str + Path to output audio file. + """ + if not out_audio: + file_stem, _ = os.path.splitext(in_video) + out_audio = file_stem + ".wav" + # command1 = "ffmpeg -i {in_video} -vn -acodec copy {aac_audio}" + # command2 = "ffmpeg -i {aac_audio} -vn -acodec pcm_s16le -ac 1 -ar 22000 {out_audio}" + # command = "ffmpeg -i {in_video} -vn -acodec pcm_s16le -ac 1 -ar 22000 {out_audio}" + command = "ffmpeg -i {in_video} -vn -acodec pcm_s16le -ac 1 -ar 16000 {out_audio}" + subprocess.call([command.format(in_video=in_video, out_audio=out_audio)], shell=True) + + +def main(): + """ + Main body of script. + """ + args = parse_args() + in_video = os.path.expanduser(args.in_video) + if not os.path.exists(in_video): + raise Exception("Input file/directory doesn't exist: {}".format(in_video)) + if os.path.isfile(in_video): + extract_audio( + in_video=in_video, + out_audio=args.out_audio) + else: + video_file_paths = [] + for file_name in os.listdir(in_video): + if not os.path.isfile(os.path.join(in_video, file_name)): + continue + _, file_ext = os.path.splitext(file_name) + if file_ext.lower() in (".mp4", ".mkv", ".avi"): + video_file_path = os.path.join(in_video, file_name) + video_file_paths.append(video_file_path) + video_file_paths = sorted(video_file_paths) + for video_file_path in video_file_paths: + extract_audio( + in_video=video_file_path, + out_audio="") + + +if __name__ == "__main__": + main() diff --git a/NeRF/data_utils/deepspeech_features/fea_win.py b/NeRF/data_utils/deepspeech_features/fea_win.py new file mode 100644 index 0000000000000000000000000000000000000000..4f9c666309c8eb2f029d1ac99095d0c15a270549 --- /dev/null +++ b/NeRF/data_utils/deepspeech_features/fea_win.py @@ -0,0 +1,11 @@ +import numpy as np + +net_output = np.load('french.ds.npy').reshape(-1, 29) +win_size = 16 +zero_pad = np.zeros((int(win_size / 2), net_output.shape[1])) +net_output = np.concatenate((zero_pad, net_output, zero_pad), axis=0) +windows = [] +for window_index in range(0, net_output.shape[0] - win_size, 2): + windows.append(net_output[window_index:window_index + win_size]) +print(np.array(windows).shape) +np.save('aud_french.npy', np.array(windows)) diff --git a/NeRF/data_utils/face_parsing/logger.py b/NeRF/data_utils/face_parsing/logger.py new file mode 100644 index 0000000000000000000000000000000000000000..d3f9ddcc2cae221b4dd881d02404e848b5396f7e --- /dev/null +++ b/NeRF/data_utils/face_parsing/logger.py @@ -0,0 +1,23 @@ +#!/usr/bin/python +# -*- encoding: utf-8 -*- + + +import os.path as osp +import time +import sys +import logging + +import torch.distributed as dist + + +def setup_logger(logpth): + logfile = 'BiSeNet-{}.log'.format(time.strftime('%Y-%m-%d-%H-%M-%S')) + logfile = osp.join(logpth, logfile) + FORMAT = '%(levelname)s %(filename)s(%(lineno)d): %(message)s' + log_level = logging.INFO + if dist.is_initialized() and not dist.get_rank()==0: + log_level = logging.ERROR + logging.basicConfig(level=log_level, format=FORMAT, filename=logfile) + logging.root.addHandler(logging.StreamHandler()) + + diff --git a/NeRF/data_utils/face_parsing/model.py b/NeRF/data_utils/face_parsing/model.py new file mode 100644 index 0000000000000000000000000000000000000000..c8b815170ca74a60213bfb7f3707d5201f9c3327 --- /dev/null +++ b/NeRF/data_utils/face_parsing/model.py @@ -0,0 +1,285 @@ +#!/usr/bin/python +# -*- encoding: utf-8 -*- + + +import torch +import torch.nn as nn +import torch.nn.functional as F +import torchvision + +from resnet import Resnet18 +# from modules.bn import InPlaceABNSync as BatchNorm2d + + +class ConvBNReLU(nn.Module): + def __init__(self, in_chan, out_chan, ks=3, stride=1, padding=1, *args, **kwargs): + super(ConvBNReLU, self).__init__() + self.conv = nn.Conv2d(in_chan, + out_chan, + kernel_size = ks, + stride = stride, + padding = padding, + bias = False) + self.bn = nn.BatchNorm2d(out_chan) + self.init_weight() + + def forward(self, x): + x = self.conv(x) + x = F.relu(self.bn(x)) + return x + + def init_weight(self): + for ly in self.children(): + if isinstance(ly, nn.Conv2d): + nn.init.kaiming_normal_(ly.weight, a=1) + if not ly.bias is None: nn.init.constant_(ly.bias, 0) + +class BiSeNetOutput(nn.Module): + def __init__(self, in_chan, mid_chan, n_classes, *args, **kwargs): + super(BiSeNetOutput, self).__init__() + self.conv = ConvBNReLU(in_chan, mid_chan, ks=3, stride=1, padding=1) + self.conv_out = nn.Conv2d(mid_chan, n_classes, kernel_size=1, bias=False) + self.init_weight() + + def forward(self, x): + x = self.conv(x) + x = self.conv_out(x) + return x + + def init_weight(self): + for ly in self.children(): + if isinstance(ly, nn.Conv2d): + nn.init.kaiming_normal_(ly.weight, a=1) + if not ly.bias is None: nn.init.constant_(ly.bias, 0) + + def get_params(self): + wd_params, nowd_params = [], [] + for name, module in self.named_modules(): + if isinstance(module, nn.Linear) or isinstance(module, nn.Conv2d): + wd_params.append(module.weight) + if not module.bias is None: + nowd_params.append(module.bias) + elif isinstance(module, nn.BatchNorm2d): + nowd_params += list(module.parameters()) + return wd_params, nowd_params + + +class AttentionRefinementModule(nn.Module): + def __init__(self, in_chan, out_chan, *args, **kwargs): + super(AttentionRefinementModule, self).__init__() + self.conv = ConvBNReLU(in_chan, out_chan, ks=3, stride=1, padding=1) + self.conv_atten = nn.Conv2d(out_chan, out_chan, kernel_size= 1, bias=False) + self.bn_atten = nn.BatchNorm2d(out_chan) + self.sigmoid_atten = nn.Sigmoid() + self.init_weight() + + def forward(self, x): + feat = self.conv(x) + atten = F.avg_pool2d(feat, feat.size()[2:]) + atten = self.conv_atten(atten) + atten = self.bn_atten(atten) + atten = self.sigmoid_atten(atten) + out = torch.mul(feat, atten) + return out + + def init_weight(self): + for ly in self.children(): + if isinstance(ly, nn.Conv2d): + nn.init.kaiming_normal_(ly.weight, a=1) + if not ly.bias is None: nn.init.constant_(ly.bias, 0) + + +class ContextPath(nn.Module): + def __init__(self, *args, **kwargs): + super(ContextPath, self).__init__() + self.resnet = Resnet18() + self.arm16 = AttentionRefinementModule(256, 128) + self.arm32 = AttentionRefinementModule(512, 128) + self.conv_head32 = ConvBNReLU(128, 128, ks=3, stride=1, padding=1) + self.conv_head16 = ConvBNReLU(128, 128, ks=3, stride=1, padding=1) + self.conv_avg = ConvBNReLU(512, 128, ks=1, stride=1, padding=0) + + self.init_weight() + + def forward(self, x): + H0, W0 = x.size()[2:] + feat8, feat16, feat32 = self.resnet(x) + H8, W8 = feat8.size()[2:] + H16, W16 = feat16.size()[2:] + H32, W32 = feat32.size()[2:] + + avg = F.avg_pool2d(feat32, feat32.size()[2:]) + avg = self.conv_avg(avg) + avg_up = F.interpolate(avg, (H32, W32), mode='nearest') + + feat32_arm = self.arm32(feat32) + feat32_sum = feat32_arm + avg_up + feat32_up = F.interpolate(feat32_sum, (H16, W16), mode='nearest') + feat32_up = self.conv_head32(feat32_up) + + feat16_arm = self.arm16(feat16) + feat16_sum = feat16_arm + feat32_up + feat16_up = F.interpolate(feat16_sum, (H8, W8), mode='nearest') + feat16_up = self.conv_head16(feat16_up) + + return feat8, feat16_up, feat32_up # x8, x8, x16 + + def init_weight(self): + for ly in self.children(): + if isinstance(ly, nn.Conv2d): + nn.init.kaiming_normal_(ly.weight, a=1) + if not ly.bias is None: nn.init.constant_(ly.bias, 0) + + def get_params(self): + wd_params, nowd_params = [], [] + for name, module in self.named_modules(): + if isinstance(module, (nn.Linear, nn.Conv2d)): + wd_params.append(module.weight) + if not module.bias is None: + nowd_params.append(module.bias) + elif isinstance(module, nn.BatchNorm2d): + nowd_params += list(module.parameters()) + return wd_params, nowd_params + + +### This is not used, since I replace this with the resnet feature with the same size +class SpatialPath(nn.Module): + def __init__(self, *args, **kwargs): + super(SpatialPath, self).__init__() + self.conv1 = ConvBNReLU(3, 64, ks=7, stride=2, padding=3) + self.conv2 = ConvBNReLU(64, 64, ks=3, stride=2, padding=1) + self.conv3 = ConvBNReLU(64, 64, ks=3, stride=2, padding=1) + self.conv_out = ConvBNReLU(64, 128, ks=1, stride=1, padding=0) + self.init_weight() + + def forward(self, x): + feat = self.conv1(x) + feat = self.conv2(feat) + feat = self.conv3(feat) + feat = self.conv_out(feat) + return feat + + def init_weight(self): + for ly in self.children(): + if isinstance(ly, nn.Conv2d): + nn.init.kaiming_normal_(ly.weight, a=1) + if not ly.bias is None: nn.init.constant_(ly.bias, 0) + + def get_params(self): + wd_params, nowd_params = [], [] + for name, module in self.named_modules(): + if isinstance(module, nn.Linear) or isinstance(module, nn.Conv2d): + wd_params.append(module.weight) + if not module.bias is None: + nowd_params.append(module.bias) + elif isinstance(module, nn.BatchNorm2d): + nowd_params += list(module.parameters()) + return wd_params, nowd_params + + +class FeatureFusionModule(nn.Module): + def __init__(self, in_chan, out_chan, *args, **kwargs): + super(FeatureFusionModule, self).__init__() + self.convblk = ConvBNReLU(in_chan, out_chan, ks=1, stride=1, padding=0) + self.conv1 = nn.Conv2d(out_chan, + out_chan//4, + kernel_size = 1, + stride = 1, + padding = 0, + bias = False) + self.conv2 = nn.Conv2d(out_chan//4, + out_chan, + kernel_size = 1, + stride = 1, + padding = 0, + bias = False) + self.relu = nn.ReLU(inplace=True) + self.sigmoid = nn.Sigmoid() + self.init_weight() + + def forward(self, fsp, fcp): + fcat = torch.cat([fsp, fcp], dim=1) + feat = self.convblk(fcat) + atten = F.avg_pool2d(feat, feat.size()[2:]) + atten = self.conv1(atten) + atten = self.relu(atten) + atten = self.conv2(atten) + atten = self.sigmoid(atten) + feat_atten = torch.mul(feat, atten) + feat_out = feat_atten + feat + return feat_out + + def init_weight(self): + for ly in self.children(): + if isinstance(ly, nn.Conv2d): + nn.init.kaiming_normal_(ly.weight, a=1) + if not ly.bias is None: nn.init.constant_(ly.bias, 0) + + def get_params(self): + wd_params, nowd_params = [], [] + for name, module in self.named_modules(): + if isinstance(module, nn.Linear) or isinstance(module, nn.Conv2d): + wd_params.append(module.weight) + if not module.bias is None: + nowd_params.append(module.bias) + elif isinstance(module, nn.BatchNorm2d): + nowd_params += list(module.parameters()) + return wd_params, nowd_params + + +class BiSeNet(nn.Module): + def __init__(self, n_classes, *args, **kwargs): + super(BiSeNet, self).__init__() + self.cp = ContextPath() + ## here self.sp is deleted + self.ffm = FeatureFusionModule(256, 256) + self.conv_out = BiSeNetOutput(256, 256, n_classes) + self.conv_out16 = BiSeNetOutput(128, 64, n_classes) + self.conv_out32 = BiSeNetOutput(128, 64, n_classes) + self.init_weight() + + def forward(self, x): + H, W = x.size()[2:] + feat_res8, feat_cp8, feat_cp16 = self.cp(x) # here return res3b1 feature + feat_sp = feat_res8 # use res3b1 feature to replace spatial path feature + feat_fuse = self.ffm(feat_sp, feat_cp8) + + feat_out = self.conv_out(feat_fuse) + feat_out16 = self.conv_out16(feat_cp8) + feat_out32 = self.conv_out32(feat_cp16) + + feat_out = F.interpolate(feat_out, (H, W), mode='bilinear', align_corners=True) + feat_out16 = F.interpolate(feat_out16, (H, W), mode='bilinear', align_corners=True) + feat_out32 = F.interpolate(feat_out32, (H, W), mode='bilinear', align_corners=True) + + # return feat_out, feat_out16, feat_out32 + return feat_out + + def init_weight(self): + for ly in self.children(): + if isinstance(ly, nn.Conv2d): + nn.init.kaiming_normal_(ly.weight, a=1) + if not ly.bias is None: nn.init.constant_(ly.bias, 0) + + def get_params(self): + wd_params, nowd_params, lr_mul_wd_params, lr_mul_nowd_params = [], [], [], [] + for name, child in self.named_children(): + child_wd_params, child_nowd_params = child.get_params() + if isinstance(child, FeatureFusionModule) or isinstance(child, BiSeNetOutput): + lr_mul_wd_params += child_wd_params + lr_mul_nowd_params += child_nowd_params + else: + wd_params += child_wd_params + nowd_params += child_nowd_params + return wd_params, nowd_params, lr_mul_wd_params, lr_mul_nowd_params + + +if __name__ == "__main__": + net = BiSeNet(19) + net.cuda() + net.eval() + in_ten = torch.randn(16, 3, 640, 480).cuda() + out, out16, out32 = net(in_ten) + print(out.shape) + + net.get_params() diff --git a/NeRF/data_utils/face_parsing/resnet.py b/NeRF/data_utils/face_parsing/resnet.py new file mode 100644 index 0000000000000000000000000000000000000000..aa2bf95130e9815ba378cb6f73207068b81a04b9 --- /dev/null +++ b/NeRF/data_utils/face_parsing/resnet.py @@ -0,0 +1,109 @@ +#!/usr/bin/python +# -*- encoding: utf-8 -*- + +import torch +import torch.nn as nn +import torch.nn.functional as F +import torch.utils.model_zoo as modelzoo + +# from modules.bn import InPlaceABNSync as BatchNorm2d + +resnet18_url = 'https://download.pytorch.org/models/resnet18-5c106cde.pth' + + +def conv3x3(in_planes, out_planes, stride=1): + """3x3 convolution with padding""" + return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride, + padding=1, bias=False) + + +class BasicBlock(nn.Module): + def __init__(self, in_chan, out_chan, stride=1): + super(BasicBlock, self).__init__() + self.conv1 = conv3x3(in_chan, out_chan, stride) + self.bn1 = nn.BatchNorm2d(out_chan) + self.conv2 = conv3x3(out_chan, out_chan) + self.bn2 = nn.BatchNorm2d(out_chan) + self.relu = nn.ReLU(inplace=True) + self.downsample = None + if in_chan != out_chan or stride != 1: + self.downsample = nn.Sequential( + nn.Conv2d(in_chan, out_chan, + kernel_size=1, stride=stride, bias=False), + nn.BatchNorm2d(out_chan), + ) + + def forward(self, x): + residual = self.conv1(x) + residual = F.relu(self.bn1(residual)) + residual = self.conv2(residual) + residual = self.bn2(residual) + + shortcut = x + if self.downsample is not None: + shortcut = self.downsample(x) + + out = shortcut + residual + out = self.relu(out) + return out + + +def create_layer_basic(in_chan, out_chan, bnum, stride=1): + layers = [BasicBlock(in_chan, out_chan, stride=stride)] + for i in range(bnum-1): + layers.append(BasicBlock(out_chan, out_chan, stride=1)) + return nn.Sequential(*layers) + + +class Resnet18(nn.Module): + def __init__(self): + super(Resnet18, self).__init__() + self.conv1 = nn.Conv2d(3, 64, kernel_size=7, stride=2, padding=3, + bias=False) + self.bn1 = nn.BatchNorm2d(64) + self.maxpool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1) + self.layer1 = create_layer_basic(64, 64, bnum=2, stride=1) + self.layer2 = create_layer_basic(64, 128, bnum=2, stride=2) + self.layer3 = create_layer_basic(128, 256, bnum=2, stride=2) + self.layer4 = create_layer_basic(256, 512, bnum=2, stride=2) + self.init_weight() + + def forward(self, x): + x = self.conv1(x) + x = F.relu(self.bn1(x)) + x = self.maxpool(x) + + x = self.layer1(x) + feat8 = self.layer2(x) # 1/8 + feat16 = self.layer3(feat8) # 1/16 + feat32 = self.layer4(feat16) # 1/32 + return feat8, feat16, feat32 + + def init_weight(self): + state_dict = modelzoo.load_url(resnet18_url) + self_state_dict = self.state_dict() + for k, v in state_dict.items(): + if 'fc' in k: continue + self_state_dict.update({k: v}) + self.load_state_dict(self_state_dict) + + def get_params(self): + wd_params, nowd_params = [], [] + for name, module in self.named_modules(): + if isinstance(module, (nn.Linear, nn.Conv2d)): + wd_params.append(module.weight) + if not module.bias is None: + nowd_params.append(module.bias) + elif isinstance(module, nn.BatchNorm2d): + nowd_params += list(module.parameters()) + return wd_params, nowd_params + + +if __name__ == "__main__": + net = Resnet18() + x = torch.randn(16, 3, 224, 224) + out = net(x) + print(out[0].size()) + print(out[1].size()) + print(out[2].size()) + net.get_params() diff --git a/NeRF/data_utils/face_parsing/test.py b/NeRF/data_utils/face_parsing/test.py new file mode 100644 index 0000000000000000000000000000000000000000..e1ae38db79b68f6c475bfb266f626634069d4f9d --- /dev/null +++ b/NeRF/data_utils/face_parsing/test.py @@ -0,0 +1,98 @@ +#!/usr/bin/python +# -*- encoding: utf-8 -*- +import numpy as np +from model import BiSeNet + +import torch + +import os +import os.path as osp + +from PIL import Image +import torchvision.transforms as transforms +import cv2 +from pathlib import Path +import configargparse +import tqdm + +# import ttach as tta + +def vis_parsing_maps(im, parsing_anno, stride, save_im=False, save_path='vis_results/parsing_map_on_im.jpg', + img_size=(512, 512)): + im = np.array(im) + vis_im = im.copy().astype(np.uint8) + vis_parsing_anno = parsing_anno.copy().astype(np.uint8) + vis_parsing_anno = cv2.resize( + vis_parsing_anno, None, fx=stride, fy=stride, interpolation=cv2.INTER_NEAREST) + vis_parsing_anno_color = np.zeros( + (vis_parsing_anno.shape[0], vis_parsing_anno.shape[1], 3)) + np.array([255, 255, 255]) # + 255 + + num_of_class = np.max(vis_parsing_anno) + # print(num_of_class) + for pi in range(1, 14): + index = np.where(vis_parsing_anno == pi) + vis_parsing_anno_color[index[0], index[1], :] = np.array([255, 0, 0]) + + for pi in range(14, 16): + index = np.where(vis_parsing_anno == pi) + vis_parsing_anno_color[index[0], index[1], :] = np.array([0, 255, 0]) + for pi in range(16, 17): + index = np.where(vis_parsing_anno == pi) + vis_parsing_anno_color[index[0], index[1], :] = np.array([0, 0, 255]) + for pi in range(17, num_of_class+1): + index = np.where(vis_parsing_anno == pi) + vis_parsing_anno_color[index[0], index[1], :] = np.array([255, 0, 0]) + + vis_parsing_anno_color = vis_parsing_anno_color.astype(np.uint8) + index = np.where(vis_parsing_anno == num_of_class-1) + vis_im = cv2.resize(vis_parsing_anno_color, img_size, + interpolation=cv2.INTER_NEAREST) + if save_im: + cv2.imwrite(save_path, vis_im) + + +def evaluate(respth='./res/test_res', dspth='./data', cp='model_final_diss.pth'): + + Path(respth).mkdir(parents=True, exist_ok=True) + + print(f'[INFO] loading model...') + n_classes = 19 + net = BiSeNet(n_classes=n_classes) + net.cuda() + net.load_state_dict(torch.load(cp)) + net.eval() + + to_tensor = transforms.Compose([ + transforms.ToTensor(), + transforms.Normalize((0.485, 0.456, 0.406), (0.229, 0.224, 0.225)), + ]) + + image_paths = os.listdir(dspth) + + with torch.no_grad(): + for image_path in tqdm.tqdm(image_paths): + if image_path.endswith('.jpg') or image_path.endswith('.png'): + img = Image.open(osp.join(dspth, image_path)) + ori_size = img.size + image = img.resize((512, 512), Image.BILINEAR) + image = image.convert("RGB") + img = to_tensor(image) + + # test-time augmentation. + inputs = torch.unsqueeze(img, 0) # [1, 3, 512, 512] + outputs = net(inputs.cuda()) + parsing = outputs.mean(0).cpu().numpy().argmax(0) + + image_path = int(image_path[:-4]) + image_path = str(image_path) + '.png' + + vis_parsing_maps(image, parsing, stride=1, save_im=True, save_path=osp.join(respth, image_path), img_size=ori_size) + + +if __name__ == "__main__": + parser = configargparse.ArgumentParser() + parser.add_argument('--respath', type=str, default='./result/', help='result path for label') + parser.add_argument('--imgpath', type=str, default='./imgs/', help='path for input images') + parser.add_argument('--modelpath', type=str, default='data_utils/face_parsing/79999_iter.pth') + args = parser.parse_args() + evaluate(respth=args.respath, dspth=args.imgpath, cp=args.modelpath) diff --git a/NeRF/data_utils/face_tracking/__init__.py b/NeRF/data_utils/face_tracking/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/NeRF/data_utils/face_tracking/convert_BFM.py b/NeRF/data_utils/face_tracking/convert_BFM.py new file mode 100644 index 0000000000000000000000000000000000000000..486fe640744ca8c8b8c37caf32ee94e47117c8f3 --- /dev/null +++ b/NeRF/data_utils/face_tracking/convert_BFM.py @@ -0,0 +1,39 @@ +import numpy as np +from scipy.io import loadmat + +original_BFM = loadmat("3DMM/01_MorphableModel.mat") +sub_inds = np.load("3DMM/topology_info.npy", allow_pickle=True).item()["sub_inds"] + +shapePC = original_BFM["shapePC"] +shapeEV = original_BFM["shapeEV"] +shapeMU = original_BFM["shapeMU"] +texPC = original_BFM["texPC"] +texEV = original_BFM["texEV"] +texMU = original_BFM["texMU"] + +b_shape = shapePC.reshape(-1, 199).transpose(1, 0).reshape(199, -1, 3) +mu_shape = shapeMU.reshape(-1, 3) + +b_tex = texPC.reshape(-1, 199).transpose(1, 0).reshape(199, -1, 3) +mu_tex = texMU.reshape(-1, 3) + +b_shape = b_shape[:, sub_inds, :].reshape(199, -1) +mu_shape = mu_shape[sub_inds, :].reshape(-1) +b_tex = b_tex[:, sub_inds, :].reshape(199, -1) +mu_tex = mu_tex[sub_inds, :].reshape(-1) + +exp_info = np.load("3DMM/exp_info.npy", allow_pickle=True).item() +np.save( + "3DMM/3DMM_info.npy", + { + "mu_shape": mu_shape, + "b_shape": b_shape, + "sig_shape": shapeEV.reshape(-1), + "mu_exp": exp_info["mu_exp"], + "b_exp": exp_info["base_exp"], + "sig_exp": exp_info["sig_exp"], + "mu_tex": mu_tex, + "b_tex": b_tex, + "sig_tex": texEV.reshape(-1), + }, +) diff --git a/NeRF/data_utils/face_tracking/data_loader.py b/NeRF/data_utils/face_tracking/data_loader.py new file mode 100644 index 0000000000000000000000000000000000000000..61e330f1af24ec3b26e85336c386767a16e079d5 --- /dev/null +++ b/NeRF/data_utils/face_tracking/data_loader.py @@ -0,0 +1,16 @@ +import os +import torch +import numpy as np + + +def load_dir(path, start, end): + lmss = [] + imgs_paths = [] + for i in range(start, end): + if os.path.isfile(os.path.join(path, str(i) + ".lms")): + lms = np.loadtxt(os.path.join(path, str(i) + ".lms"), dtype=np.float32) + lmss.append(lms) + imgs_paths.append(os.path.join(path, str(i) + ".jpg")) + lmss = np.stack(lmss) + lmss = torch.as_tensor(lmss).cuda() + return lmss, imgs_paths diff --git a/NeRF/data_utils/face_tracking/face_tracker.py b/NeRF/data_utils/face_tracking/face_tracker.py new file mode 100644 index 0000000000000000000000000000000000000000..e97885686b88f80e738ad97b92a4ff7f34ce24d5 --- /dev/null +++ b/NeRF/data_utils/face_tracking/face_tracker.py @@ -0,0 +1,390 @@ +import os +import sys +import cv2 +import argparse +from pathlib import Path +import torch +import numpy as np +from data_loader import load_dir +from facemodel import Face_3DMM +from util import * +from render_3dmm import Render_3DMM + + +# torch.autograd.set_detect_anomaly(True) + +dir_path = os.path.dirname(os.path.realpath(__file__)) + + +def set_requires_grad(tensor_list): + for tensor in tensor_list: + tensor.requires_grad = True + + +parser = argparse.ArgumentParser() +parser.add_argument( + "--path", type=str, default="obama/ori_imgs", help="idname of target person" +) +parser.add_argument("--img_h", type=int, default=512, help="image height") +parser.add_argument("--img_w", type=int, default=512, help="image width") +parser.add_argument("--frame_num", type=int, default=11000, help="image number") +args = parser.parse_args() + +start_id = 0 +end_id = args.frame_num + +lms, img_paths = load_dir(args.path, start_id, end_id) +num_frames = lms.shape[0] +h, w = args.img_h, args.img_w +cxy = torch.tensor((w / 2.0, h / 2.0), dtype=torch.float).cuda() +id_dim, exp_dim, tex_dim, point_num = 100, 79, 100, 34650 +model_3dmm = Face_3DMM( + os.path.join(dir_path, "3DMM"), id_dim, exp_dim, tex_dim, point_num +) + +# only use one image per 40 to do fit the focal length +sel_ids = np.arange(0, num_frames, 40) +sel_num = sel_ids.shape[0] +arg_focal = 1600 +arg_landis = 1e5 + +print(f'[INFO] fitting focal length...') + +# fit the focal length +for focal in range(600, 1500, 100): + id_para = lms.new_zeros((1, id_dim), requires_grad=True) + exp_para = lms.new_zeros((sel_num, exp_dim), requires_grad=True) + euler_angle = lms.new_zeros((sel_num, 3), requires_grad=True) + trans = lms.new_zeros((sel_num, 3), requires_grad=True) + trans.data[:, 2] -= 7 + focal_length = lms.new_zeros(1, requires_grad=False) + focal_length.data += focal + set_requires_grad([id_para, exp_para, euler_angle, trans]) + + optimizer_idexp = torch.optim.Adam([id_para, exp_para], lr=0.1) + optimizer_frame = torch.optim.Adam([euler_angle, trans], lr=0.1) + + for iter in range(2000): + id_para_batch = id_para.expand(sel_num, -1) + geometry = model_3dmm.get_3dlandmarks( + id_para_batch, exp_para, euler_angle, trans, focal_length, cxy + ) + proj_geo = forward_transform(geometry, euler_angle, trans, focal_length, cxy) + loss_lan = cal_lan_loss(proj_geo[:, :, :2], lms[sel_ids].detach()) + loss = loss_lan + optimizer_frame.zero_grad() + loss.backward() + optimizer_frame.step() + # if iter % 100 == 0: + # print(focal, 'pose', iter, loss.item()) + + for iter in range(2500): + id_para_batch = id_para.expand(sel_num, -1) + geometry = model_3dmm.get_3dlandmarks( + id_para_batch, exp_para, euler_angle, trans, focal_length, cxy + ) + proj_geo = forward_transform(geometry, euler_angle, trans, focal_length, cxy) + loss_lan = cal_lan_loss(proj_geo[:, :, :2], lms[sel_ids].detach()) + loss_regid = torch.mean(id_para * id_para) + loss_regexp = torch.mean(exp_para * exp_para) + loss = loss_lan + loss_regid * 0.5 + loss_regexp * 0.4 + optimizer_idexp.zero_grad() + optimizer_frame.zero_grad() + loss.backward() + optimizer_idexp.step() + optimizer_frame.step() + # if iter % 100 == 0: + # print(focal, 'poseidexp', iter, loss_lan.item(), loss_regid.item(), loss_regexp.item()) + + if iter % 1500 == 0 and iter >= 1500: + for param_group in optimizer_idexp.param_groups: + param_group["lr"] *= 0.2 + for param_group in optimizer_frame.param_groups: + param_group["lr"] *= 0.2 + + print(focal, loss_lan.item(), torch.mean(trans[:, 2]).item()) + + if loss_lan.item() < arg_landis: + arg_landis = loss_lan.item() + arg_focal = focal + +print("[INFO] find best focal:", arg_focal) + +print(f'[INFO] coarse fitting...') + +# for all frames, do a coarse fitting ??? +id_para = lms.new_zeros((1, id_dim), requires_grad=True) +exp_para = lms.new_zeros((num_frames, exp_dim), requires_grad=True) +tex_para = lms.new_zeros( + (1, tex_dim), requires_grad=True +) # not optimized in this block ??? +euler_angle = lms.new_zeros((num_frames, 3), requires_grad=True) +trans = lms.new_zeros((num_frames, 3), requires_grad=True) +light_para = lms.new_zeros((num_frames, 27), requires_grad=True) +trans.data[:, 2] -= 7 # ??? +focal_length = lms.new_zeros(1, requires_grad=True) +focal_length.data += arg_focal + +set_requires_grad([id_para, exp_para, tex_para, euler_angle, trans, light_para]) + +optimizer_idexp = torch.optim.Adam([id_para, exp_para], lr=0.1) +optimizer_frame = torch.optim.Adam([euler_angle, trans], lr=1) + +for iter in range(1500): + id_para_batch = id_para.expand(num_frames, -1) + geometry = model_3dmm.get_3dlandmarks( + id_para_batch, exp_para, euler_angle, trans, focal_length, cxy + ) + proj_geo = forward_transform(geometry, euler_angle, trans, focal_length, cxy) + loss_lan = cal_lan_loss(proj_geo[:, :, :2], lms.detach()) + loss = loss_lan + optimizer_frame.zero_grad() + loss.backward() + optimizer_frame.step() + if iter == 1000: + for param_group in optimizer_frame.param_groups: + param_group["lr"] = 0.1 + # if iter % 100 == 0: + # print('pose', iter, loss.item()) + +for param_group in optimizer_frame.param_groups: + param_group["lr"] = 0.1 + +for iter in range(2000): + id_para_batch = id_para.expand(num_frames, -1) + geometry = model_3dmm.get_3dlandmarks( + id_para_batch, exp_para, euler_angle, trans, focal_length, cxy + ) + proj_geo = forward_transform(geometry, euler_angle, trans, focal_length, cxy) + loss_lan = cal_lan_loss(proj_geo[:, :, :2], lms.detach()) + loss_regid = torch.mean(id_para * id_para) + loss_regexp = torch.mean(exp_para * exp_para) + loss = loss_lan + loss_regid * 0.5 + loss_regexp * 0.4 + optimizer_idexp.zero_grad() + optimizer_frame.zero_grad() + loss.backward() + optimizer_idexp.step() + optimizer_frame.step() + # if iter % 100 == 0: + # print('poseidexp', iter, loss_lan.item(), loss_regid.item(), loss_regexp.item()) + if iter % 1000 == 0 and iter >= 1000: + for param_group in optimizer_idexp.param_groups: + param_group["lr"] *= 0.2 + for param_group in optimizer_frame.param_groups: + param_group["lr"] *= 0.2 + +print(loss_lan.item(), torch.mean(trans[:, 2]).item()) + +print(f'[INFO] fitting light...') + +batch_size = 32 + +device_default = torch.device("cuda:0") +device_render = torch.device("cuda:0") +renderer = Render_3DMM(arg_focal, h, w, batch_size, device_render) + +sel_ids = np.arange(0, num_frames, int(num_frames / batch_size))[:batch_size] +imgs = [] +for sel_id in sel_ids: + imgs.append(cv2.imread(img_paths[sel_id])[:, :, ::-1]) +imgs = np.stack(imgs) +sel_imgs = torch.as_tensor(imgs).cuda() +sel_lms = lms[sel_ids] +sel_light = light_para.new_zeros((batch_size, 27), requires_grad=True) +set_requires_grad([sel_light]) + +optimizer_tl = torch.optim.Adam([tex_para, sel_light], lr=0.1) +optimizer_id_frame = torch.optim.Adam([euler_angle, trans, exp_para, id_para], lr=0.01) + +for iter in range(71): + sel_exp_para, sel_euler, sel_trans = ( + exp_para[sel_ids], + euler_angle[sel_ids], + trans[sel_ids], + ) + sel_id_para = id_para.expand(batch_size, -1) + geometry = model_3dmm.get_3dlandmarks( + sel_id_para, sel_exp_para, sel_euler, sel_trans, focal_length, cxy + ) + proj_geo = forward_transform(geometry, sel_euler, sel_trans, focal_length, cxy) + + loss_lan = cal_lan_loss(proj_geo[:, :, :2], sel_lms.detach()) + loss_regid = torch.mean(id_para * id_para) + loss_regexp = torch.mean(sel_exp_para * sel_exp_para) + + sel_tex_para = tex_para.expand(batch_size, -1) + sel_texture = model_3dmm.forward_tex(sel_tex_para) + geometry = model_3dmm.forward_geo(sel_id_para, sel_exp_para) + rott_geo = forward_rott(geometry, sel_euler, sel_trans) + render_imgs = renderer( + rott_geo.to(device_render), + sel_texture.to(device_render), + sel_light.to(device_render), + ) + render_imgs = render_imgs.to(device_default) + + mask = (render_imgs[:, :, :, 3]).detach() > 0.0 + render_proj = sel_imgs.clone() + render_proj[mask] = render_imgs[mask][..., :3].byte() + loss_col = cal_col_loss(render_imgs[:, :, :, :3], sel_imgs.float(), mask) + + if iter > 50: + loss = loss_col + loss_lan * 0.05 + loss_regid * 1.0 + loss_regexp * 0.8 + else: + loss = loss_col + loss_lan * 3 + loss_regid * 2.0 + loss_regexp * 1.0 + + optimizer_tl.zero_grad() + optimizer_id_frame.zero_grad() + loss.backward() + + optimizer_tl.step() + optimizer_id_frame.step() + + if iter % 50 == 0 and iter > 0: + for param_group in optimizer_id_frame.param_groups: + param_group["lr"] *= 0.2 + for param_group in optimizer_tl.param_groups: + param_group["lr"] *= 0.2 + # print(iter, loss_col.item(), loss_lan.item(), loss_regid.item(), loss_regexp.item()) + + +light_mean = torch.mean(sel_light, 0).unsqueeze(0).repeat(num_frames, 1) +light_para.data = light_mean + +exp_para = exp_para.detach() +euler_angle = euler_angle.detach() +trans = trans.detach() +light_para = light_para.detach() + +print(f'[INFO] fine frame-wise fitting...') + +for i in range(int((num_frames - 1) / batch_size + 1)): + + if (i + 1) * batch_size > num_frames: + start_n = num_frames - batch_size + sel_ids = np.arange(num_frames - batch_size, num_frames) + else: + start_n = i * batch_size + sel_ids = np.arange(i * batch_size, i * batch_size + batch_size) + + imgs = [] + for sel_id in sel_ids: + imgs.append(cv2.imread(img_paths[sel_id])[:, :, ::-1]) + imgs = np.stack(imgs) + sel_imgs = torch.as_tensor(imgs).cuda() + sel_lms = lms[sel_ids] + + sel_exp_para = exp_para.new_zeros((batch_size, exp_dim), requires_grad=True) + sel_exp_para.data = exp_para[sel_ids].clone() + sel_euler = euler_angle.new_zeros((batch_size, 3), requires_grad=True) + sel_euler.data = euler_angle[sel_ids].clone() + sel_trans = trans.new_zeros((batch_size, 3), requires_grad=True) + sel_trans.data = trans[sel_ids].clone() + sel_light = light_para.new_zeros((batch_size, 27), requires_grad=True) + sel_light.data = light_para[sel_ids].clone() + + set_requires_grad([sel_exp_para, sel_euler, sel_trans, sel_light]) + + optimizer_cur_batch = torch.optim.Adam( + [sel_exp_para, sel_euler, sel_trans, sel_light], lr=0.005 + ) + + sel_id_para = id_para.expand(batch_size, -1).detach() + sel_tex_para = tex_para.expand(batch_size, -1).detach() + + pre_num = 5 + + if i > 0: + pre_ids = np.arange(start_n - pre_num, start_n) + + for iter in range(50): + + geometry = model_3dmm.get_3dlandmarks( + sel_id_para, sel_exp_para, sel_euler, sel_trans, focal_length, cxy + ) + proj_geo = forward_transform(geometry, sel_euler, sel_trans, focal_length, cxy) + loss_lan = cal_lan_loss(proj_geo[:, :, :2], sel_lms.detach()) + loss_regexp = torch.mean(sel_exp_para * sel_exp_para) + + sel_geometry = model_3dmm.forward_geo(sel_id_para, sel_exp_para) + sel_texture = model_3dmm.forward_tex(sel_tex_para) + geometry = model_3dmm.forward_geo(sel_id_para, sel_exp_para) + rott_geo = forward_rott(geometry, sel_euler, sel_trans) + render_imgs = renderer( + rott_geo.to(device_render), + sel_texture.to(device_render), + sel_light.to(device_render), + ) + render_imgs = render_imgs.to(device_default) + + mask = (render_imgs[:, :, :, 3]).detach() > 0.0 + + loss_col = cal_col_loss(render_imgs[:, :, :, :3], sel_imgs.float(), mask) + + if i > 0: + geometry_lap = model_3dmm.forward_geo_sub( + id_para.expand(batch_size + pre_num, -1).detach(), + torch.cat((exp_para[pre_ids].detach(), sel_exp_para)), + model_3dmm.rigid_ids, + ) + rott_geo_lap = forward_rott( + geometry_lap, + torch.cat((euler_angle[pre_ids].detach(), sel_euler)), + torch.cat((trans[pre_ids].detach(), sel_trans)), + ) + loss_lap = cal_lap_loss( + [rott_geo_lap.reshape(rott_geo_lap.shape[0], -1).permute(1, 0)], [1.0] + ) + else: + geometry_lap = model_3dmm.forward_geo_sub( + id_para.expand(batch_size, -1).detach(), + sel_exp_para, + model_3dmm.rigid_ids, + ) + rott_geo_lap = forward_rott(geometry_lap, sel_euler, sel_trans) + loss_lap = cal_lap_loss( + [rott_geo_lap.reshape(rott_geo_lap.shape[0], -1).permute(1, 0)], [1.0] + ) + + + if iter > 30: + loss = loss_col * 0.5 + loss_lan * 1.5 + loss_lap * 100000 + loss_regexp * 1.0 + else: + loss = loss_col * 0.5 + loss_lan * 8 + loss_lap * 100000 + loss_regexp * 1.0 + + optimizer_cur_batch.zero_grad() + loss.backward() + optimizer_cur_batch.step() + + # if iter % 10 == 0: + # print( + # i, + # iter, + # loss_col.item(), + # loss_lan.item(), + # loss_lap.item(), + # loss_regexp.item(), + # ) + + print(str(i) + " of " + str(int((num_frames - 1) / batch_size + 1)) + " done") + + render_proj = sel_imgs.clone() + render_proj[mask] = render_imgs[mask][..., :3].byte() + + exp_para[sel_ids] = sel_exp_para.clone() + euler_angle[sel_ids] = sel_euler.clone() + trans[sel_ids] = sel_trans.clone() + light_para[sel_ids] = sel_light.clone() + +torch.save( + { + "id": id_para.detach().cpu(), + "exp": exp_para.detach().cpu(), + "euler": euler_angle.detach().cpu(), + "trans": trans.detach().cpu(), + "focal": focal_length.detach().cpu(), + }, + os.path.join(os.path.dirname(args.path), "track_params.pt"), +) + +print("params saved") diff --git a/NeRF/data_utils/face_tracking/facemodel.py b/NeRF/data_utils/face_tracking/facemodel.py new file mode 100644 index 0000000000000000000000000000000000000000..e54e96b750f6133c0380f2a1dd6030a036c6448d --- /dev/null +++ b/NeRF/data_utils/face_tracking/facemodel.py @@ -0,0 +1,153 @@ +import torch +import torch.nn as nn +import numpy as np +import os +from util import * + + +class Face_3DMM(nn.Module): + def __init__(self, modelpath, id_dim, exp_dim, tex_dim, point_num): + super(Face_3DMM, self).__init__() + # id_dim = 100 + # exp_dim = 79 + # tex_dim = 100 + self.point_num = point_num + DMM_info = np.load( + os.path.join(modelpath, "3DMM_info.npy"), allow_pickle=True + ).item() + base_id = DMM_info["b_shape"][:id_dim, :] + mu_id = DMM_info["mu_shape"] + base_exp = DMM_info["b_exp"][:exp_dim, :] + mu_exp = DMM_info["mu_exp"] + mu = mu_id + mu_exp + mu = mu.reshape(-1, 3) + for i in range(3): + mu[:, i] -= np.mean(mu[:, i]) + mu = mu.reshape(-1) + self.base_id = torch.as_tensor(base_id).cuda() / 100000.0 + self.base_exp = torch.as_tensor(base_exp).cuda() / 100000.0 + self.mu = torch.as_tensor(mu).cuda() / 100000.0 + base_tex = DMM_info["b_tex"][:tex_dim, :] + mu_tex = DMM_info["mu_tex"] + self.base_tex = torch.as_tensor(base_tex).cuda() + self.mu_tex = torch.as_tensor(mu_tex).cuda() + sig_id = DMM_info["sig_shape"][:id_dim] + sig_tex = DMM_info["sig_tex"][:tex_dim] + sig_exp = DMM_info["sig_exp"][:exp_dim] + self.sig_id = torch.as_tensor(sig_id).cuda() + self.sig_tex = torch.as_tensor(sig_tex).cuda() + self.sig_exp = torch.as_tensor(sig_exp).cuda() + + keys_info = np.load( + os.path.join(modelpath, "keys_info.npy"), allow_pickle=True + ).item() + self.keyinds = torch.as_tensor(keys_info["keyinds"]).cuda() + self.left_contours = torch.as_tensor(keys_info["left_contour"]).cuda() + self.right_contours = torch.as_tensor(keys_info["right_contour"]).cuda() + self.rigid_ids = torch.as_tensor(keys_info["rigid_ids"]).cuda() + + def get_3dlandmarks(self, id_para, exp_para, euler_angle, trans, focal_length, cxy): + id_para = id_para * self.sig_id + exp_para = exp_para * self.sig_exp + batch_size = id_para.shape[0] + num_per_contour = self.left_contours.shape[1] + left_contours_flat = self.left_contours.reshape(-1) + right_contours_flat = self.right_contours.reshape(-1) + sel_index = torch.cat( + ( + 3 * left_contours_flat.unsqueeze(1), + 3 * left_contours_flat.unsqueeze(1) + 1, + 3 * left_contours_flat.unsqueeze(1) + 2, + ), + dim=1, + ).reshape(-1) + left_geometry = ( + torch.mm(id_para, self.base_id[:, sel_index]) + + torch.mm(exp_para, self.base_exp[:, sel_index]) + + self.mu[sel_index] + ) + left_geometry = left_geometry.view(batch_size, -1, 3) + proj_x = forward_transform( + left_geometry, euler_angle, trans, focal_length, cxy + )[:, :, 0] + proj_x = proj_x.reshape(batch_size, 8, num_per_contour) + arg_min = proj_x.argmin(dim=2) + left_geometry = left_geometry.view(batch_size * 8, num_per_contour, 3) + left_3dlands = left_geometry[ + torch.arange(batch_size * 8), arg_min.view(-1), : + ].view(batch_size, 8, 3) + + sel_index = torch.cat( + ( + 3 * right_contours_flat.unsqueeze(1), + 3 * right_contours_flat.unsqueeze(1) + 1, + 3 * right_contours_flat.unsqueeze(1) + 2, + ), + dim=1, + ).reshape(-1) + right_geometry = ( + torch.mm(id_para, self.base_id[:, sel_index]) + + torch.mm(exp_para, self.base_exp[:, sel_index]) + + self.mu[sel_index] + ) + right_geometry = right_geometry.view(batch_size, -1, 3) + proj_x = forward_transform( + right_geometry, euler_angle, trans, focal_length, cxy + )[:, :, 0] + proj_x = proj_x.reshape(batch_size, 8, num_per_contour) + arg_max = proj_x.argmax(dim=2) + right_geometry = right_geometry.view(batch_size * 8, num_per_contour, 3) + right_3dlands = right_geometry[ + torch.arange(batch_size * 8), arg_max.view(-1), : + ].view(batch_size, 8, 3) + + sel_index = torch.cat( + ( + 3 * self.keyinds.unsqueeze(1), + 3 * self.keyinds.unsqueeze(1) + 1, + 3 * self.keyinds.unsqueeze(1) + 2, + ), + dim=1, + ).reshape(-1) + geometry = ( + torch.mm(id_para, self.base_id[:, sel_index]) + + torch.mm(exp_para, self.base_exp[:, sel_index]) + + self.mu[sel_index] + ) + lands_3d = geometry.view(-1, self.keyinds.shape[0], 3) + lands_3d[:, :8, :] = left_3dlands + lands_3d[:, 9:17, :] = right_3dlands + return lands_3d + + def forward_geo_sub(self, id_para, exp_para, sub_index): + id_para = id_para * self.sig_id + exp_para = exp_para * self.sig_exp + sel_index = torch.cat( + ( + 3 * sub_index.unsqueeze(1), + 3 * sub_index.unsqueeze(1) + 1, + 3 * sub_index.unsqueeze(1) + 2, + ), + dim=1, + ).reshape(-1) + geometry = ( + torch.mm(id_para, self.base_id[:, sel_index]) + + torch.mm(exp_para, self.base_exp[:, sel_index]) + + self.mu[sel_index] + ) + return geometry.reshape(-1, sub_index.shape[0], 3) + + def forward_geo(self, id_para, exp_para): + id_para = id_para * self.sig_id + exp_para = exp_para * self.sig_exp + geometry = ( + torch.mm(id_para, self.base_id) + + torch.mm(exp_para, self.base_exp) + + self.mu + ) + return geometry.reshape(-1, self.point_num, 3) + + def forward_tex(self, tex_para): + tex_para = tex_para * self.sig_tex + texture = torch.mm(tex_para, self.base_tex) + self.mu_tex + return texture.reshape(-1, self.point_num, 3) diff --git a/NeRF/data_utils/face_tracking/geo_transform.py b/NeRF/data_utils/face_tracking/geo_transform.py new file mode 100644 index 0000000000000000000000000000000000000000..4c092241f9ddcf5d85db2a1d94bd905b4527e5eb --- /dev/null +++ b/NeRF/data_utils/face_tracking/geo_transform.py @@ -0,0 +1,69 @@ +"""This module contains functions for geometry transform and camera projection""" +import torch +import torch.nn as nn +import numpy as np + + +def euler2rot(euler_angle): + batch_size = euler_angle.shape[0] + theta = euler_angle[:, 0].reshape(-1, 1, 1) + phi = euler_angle[:, 1].reshape(-1, 1, 1) + psi = euler_angle[:, 2].reshape(-1, 1, 1) + one = torch.ones((batch_size, 1, 1), dtype=torch.float32, device=euler_angle.device) + zero = torch.zeros( + (batch_size, 1, 1), dtype=torch.float32, device=euler_angle.device + ) + rot_x = torch.cat( + ( + torch.cat((one, zero, zero), 1), + torch.cat((zero, theta.cos(), theta.sin()), 1), + torch.cat((zero, -theta.sin(), theta.cos()), 1), + ), + 2, + ) + rot_y = torch.cat( + ( + torch.cat((phi.cos(), zero, -phi.sin()), 1), + torch.cat((zero, one, zero), 1), + torch.cat((phi.sin(), zero, phi.cos()), 1), + ), + 2, + ) + rot_z = torch.cat( + ( + torch.cat((psi.cos(), -psi.sin(), zero), 1), + torch.cat((psi.sin(), psi.cos(), zero), 1), + torch.cat((zero, zero, one), 1), + ), + 2, + ) + return torch.bmm(rot_x, torch.bmm(rot_y, rot_z)) + + +def rot_trans_geo(geometry, rot, trans): + rott_geo = torch.bmm(rot, geometry.permute(0, 2, 1)) + trans.view(-1, 3, 1) + return rott_geo.permute(0, 2, 1) + + +def euler_trans_geo(geometry, euler, trans): + rot = euler2rot(euler) + return rot_trans_geo(geometry, rot, trans) + + +def proj_geo(rott_geo, camera_para): + fx = camera_para[:, 0] + fy = camera_para[:, 0] + cx = camera_para[:, 1] + cy = camera_para[:, 2] + + X = rott_geo[:, :, 0] + Y = rott_geo[:, :, 1] + Z = rott_geo[:, :, 2] + + fxX = fx[:, None] * X + fyY = fy[:, None] * Y + + proj_x = -fxX / Z + cx[:, None] + proj_y = fyY / Z + cy[:, None] + + return torch.cat((proj_x[:, :, None], proj_y[:, :, None], Z[:, :, None]), 2) diff --git a/NeRF/data_utils/face_tracking/render_3dmm.py b/NeRF/data_utils/face_tracking/render_3dmm.py new file mode 100644 index 0000000000000000000000000000000000000000..6a29e19312ad2834e785a8ced644bff47c04bc47 --- /dev/null +++ b/NeRF/data_utils/face_tracking/render_3dmm.py @@ -0,0 +1,202 @@ +import torch +import torch.nn as nn +import numpy as np +import os +from pytorch3d.structures import Meshes +from pytorch3d.renderer import ( + look_at_view_transform, + PerspectiveCameras, + FoVPerspectiveCameras, + PointLights, + DirectionalLights, + Materials, + RasterizationSettings, + MeshRenderer, + MeshRasterizer, + SoftPhongShader, + TexturesUV, + TexturesVertex, + blending, +) + +from pytorch3d.ops import interpolate_face_attributes + +from pytorch3d.renderer.blending import ( + BlendParams, + hard_rgb_blend, + sigmoid_alpha_blend, + softmax_rgb_blend, +) + + +class SoftSimpleShader(nn.Module): + """ + Per pixel lighting - the lighting model is applied using the interpolated + coordinates and normals for each pixel. The blending function returns the + soft aggregated color using all the faces per pixel. + + To use the default values, simply initialize the shader with the desired + device e.g. + + """ + + def __init__( + self, device="cpu", cameras=None, lights=None, materials=None, blend_params=None + ): + super().__init__() + self.lights = lights if lights is not None else PointLights(device=device) + self.materials = ( + materials if materials is not None else Materials(device=device) + ) + self.cameras = cameras + self.blend_params = blend_params if blend_params is not None else BlendParams() + + def to(self, device): + # Manually move to device modules which are not subclasses of nn.Module + self.cameras = self.cameras.to(device) + self.materials = self.materials.to(device) + self.lights = self.lights.to(device) + return self + + def forward(self, fragments, meshes, **kwargs) -> torch.Tensor: + + texels = meshes.sample_textures(fragments) + blend_params = kwargs.get("blend_params", self.blend_params) + + cameras = kwargs.get("cameras", self.cameras) + if cameras is None: + msg = "Cameras must be specified either at initialization \ + or in the forward pass of SoftPhongShader" + raise ValueError(msg) + znear = kwargs.get("znear", getattr(cameras, "znear", 1.0)) + zfar = kwargs.get("zfar", getattr(cameras, "zfar", 100.0)) + images = softmax_rgb_blend( + texels, fragments, blend_params, znear=znear, zfar=zfar + ) + return images + + +class Render_3DMM(nn.Module): + def __init__( + self, + focal=1015, + img_h=500, + img_w=500, + batch_size=1, + device=torch.device("cuda:0"), + ): + super(Render_3DMM, self).__init__() + + self.focal = focal + self.img_h = img_h + self.img_w = img_w + self.device = device + self.renderer = self.get_render(batch_size) + + dir_path = os.path.dirname(os.path.realpath(__file__)) + topo_info = np.load( + os.path.join(dir_path, "3DMM", "topology_info.npy"), allow_pickle=True + ).item() + self.tris = torch.as_tensor(topo_info["tris"]).to(self.device) + self.vert_tris = torch.as_tensor(topo_info["vert_tris"]).to(self.device) + + def compute_normal(self, geometry): + vert_1 = torch.index_select(geometry, 1, self.tris[:, 0]) + vert_2 = torch.index_select(geometry, 1, self.tris[:, 1]) + vert_3 = torch.index_select(geometry, 1, self.tris[:, 2]) + nnorm = torch.cross(vert_2 - vert_1, vert_3 - vert_1, 2) + tri_normal = nn.functional.normalize(nnorm, dim=2) + v_norm = tri_normal[:, self.vert_tris, :].sum(2) + vert_normal = v_norm / v_norm.norm(dim=2).unsqueeze(2) + return vert_normal + + def get_render(self, batch_size=1): + half_s = self.img_w * 0.5 + R, T = look_at_view_transform(10, 0, 0) + R = R.repeat(batch_size, 1, 1) + T = torch.zeros((batch_size, 3), dtype=torch.float32).to(self.device) + + cameras = FoVPerspectiveCameras( + device=self.device, + R=R, + T=T, + znear=0.01, + zfar=20, + fov=2 * np.arctan(self.img_w // 2 / self.focal) * 180.0 / np.pi, + ) + lights = PointLights( + device=self.device, + location=[[0.0, 0.0, 1e5]], + ambient_color=[[1, 1, 1]], + specular_color=[[0.0, 0.0, 0.0]], + diffuse_color=[[0.0, 0.0, 0.0]], + ) + sigma = 1e-4 + raster_settings = RasterizationSettings( + image_size=(self.img_h, self.img_w), + blur_radius=np.log(1.0 / 1e-4 - 1.0) * sigma / 18.0, + faces_per_pixel=2, + perspective_correct=False, + ) + blend_params = blending.BlendParams(background_color=[0, 0, 0]) + renderer = MeshRenderer( + rasterizer=MeshRasterizer(raster_settings=raster_settings, cameras=cameras), + shader=SoftSimpleShader( + lights=lights, blend_params=blend_params, cameras=cameras + ), + ) + return renderer.to(self.device) + + @staticmethod + def Illumination_layer(face_texture, norm, gamma): + + n_b, num_vertex, _ = face_texture.size() + n_v_full = n_b * num_vertex + gamma = gamma.view(-1, 3, 9).clone() + gamma[:, :, 0] += 0.8 + + gamma = gamma.permute(0, 2, 1) + + a0 = np.pi + a1 = 2 * np.pi / np.sqrt(3.0) + a2 = 2 * np.pi / np.sqrt(8.0) + c0 = 1 / np.sqrt(4 * np.pi) + c1 = np.sqrt(3.0) / np.sqrt(4 * np.pi) + c2 = 3 * np.sqrt(5.0) / np.sqrt(12 * np.pi) + d0 = 0.5 / np.sqrt(3.0) + + Y0 = torch.ones(n_v_full).to(gamma.device).float() * a0 * c0 + norm = norm.view(-1, 3) + nx, ny, nz = norm[:, 0], norm[:, 1], norm[:, 2] + arrH = [] + + arrH.append(Y0) + arrH.append(-a1 * c1 * ny) + arrH.append(a1 * c1 * nz) + arrH.append(-a1 * c1 * nx) + arrH.append(a2 * c2 * nx * ny) + arrH.append(-a2 * c2 * ny * nz) + arrH.append(a2 * c2 * d0 * (3 * nz.pow(2) - 1)) + arrH.append(-a2 * c2 * nx * nz) + arrH.append(a2 * c2 * 0.5 * (nx.pow(2) - ny.pow(2))) + + H = torch.stack(arrH, 1) + Y = H.view(n_b, num_vertex, 9) + lighting = Y.bmm(gamma) + + face_color = face_texture * lighting + return face_color + + def forward(self, rott_geometry, texture, diffuse_sh): + face_normal = self.compute_normal(rott_geometry) + face_color = self.Illumination_layer(texture, face_normal, diffuse_sh) + face_color = TexturesVertex(face_color) + mesh = Meshes( + rott_geometry, + self.tris.float().repeat(rott_geometry.shape[0], 1, 1), + face_color, + ) + rendered_img = self.renderer(mesh) + rendered_img = torch.clamp(rendered_img, 0, 255) + + return rendered_img diff --git a/NeRF/data_utils/face_tracking/render_land.py b/NeRF/data_utils/face_tracking/render_land.py new file mode 100644 index 0000000000000000000000000000000000000000..e0050f709f210fa13bd7b47cdf8ff46f3c83ce5c --- /dev/null +++ b/NeRF/data_utils/face_tracking/render_land.py @@ -0,0 +1,192 @@ +import torch +import torch.nn as nn +import render_util +import geo_transform +import numpy as np + + +def compute_tri_normal(geometry, tris): + geometry = geometry.permute(0, 2, 1) + tri_1 = tris[:, 0] + tri_2 = tris[:, 1] + tri_3 = tris[:, 2] + + vert_1 = torch.index_select(geometry, 2, tri_1) + vert_2 = torch.index_select(geometry, 2, tri_2) + vert_3 = torch.index_select(geometry, 2, tri_3) + + nnorm = torch.cross(vert_2 - vert_1, vert_3 - vert_1, 1) + normal = nn.functional.normalize(nnorm).permute(0, 2, 1) + return normal + + +class Compute_normal_base(torch.autograd.Function): + @staticmethod + def forward(ctx, normal): + (normal_b,) = render_util.normal_base_forward(normal) + ctx.save_for_backward(normal) + return normal_b + + @staticmethod + def backward(ctx, grad_normal_b): + (normal,) = ctx.saved_tensors + (grad_normal,) = render_util.normal_base_backward(grad_normal_b, normal) + return grad_normal + + +class Normal_Base(torch.nn.Module): + def __init__(self): + super(Normal_Base, self).__init__() + + def forward(self, normal): + return Compute_normal_base.apply(normal) + + +def preprocess_render(geometry, euler, trans, cam, tris, vert_tris, ori_img): + point_num = geometry.shape[1] + rott_geo = geo_transform.euler_trans_geo(geometry, euler, trans) + proj_geo = geo_transform.proj_geo(rott_geo, cam) + rot_tri_normal = compute_tri_normal(rott_geo, tris) + rot_vert_normal = torch.index_select(rot_tri_normal, 1, vert_tris) + is_visible = -torch.bmm( + rot_vert_normal.reshape(-1, 1, 3), + nn.functional.normalize(rott_geo.reshape(-1, 3, 1)), + ).reshape(-1, point_num) + is_visible[is_visible < 0.01] = -1 + pixel_valid = torch.zeros( + (ori_img.shape[0], ori_img.shape[1] * ori_img.shape[2]), + dtype=torch.float32, + device=ori_img.device, + ) + return rott_geo, proj_geo, rot_tri_normal, is_visible, pixel_valid + + +class Render_Face(torch.autograd.Function): + @staticmethod + def forward( + ctx, proj_geo, texture, nbl, ori_img, is_visible, tri_inds, pixel_valid + ): + batch_size, h, w, _ = ori_img.shape + ori_img = ori_img.view(batch_size, -1, 3) + ori_size = torch.cat( + ( + torch.ones((batch_size, 1), dtype=torch.int32, device=ori_img.device) + * h, + torch.ones((batch_size, 1), dtype=torch.int32, device=ori_img.device) + * w, + ), + dim=1, + ).view(-1) + tri_index, tri_coord, render, real = render_util.render_face_forward( + proj_geo, ori_img, ori_size, texture, nbl, is_visible, tri_inds, pixel_valid + ) + ctx.save_for_backward( + ori_img, ori_size, proj_geo, texture, nbl, tri_inds, tri_index, tri_coord + ) + return render, real + + @staticmethod + def backward(ctx, grad_render, grad_real): + ( + ori_img, + ori_size, + proj_geo, + texture, + nbl, + tri_inds, + tri_index, + tri_coord, + ) = ctx.saved_tensors + grad_proj_geo, grad_texture, grad_nbl = render_util.render_face_backward( + grad_render, + grad_real, + ori_img, + ori_size, + proj_geo, + texture, + nbl, + tri_inds, + tri_index, + tri_coord, + ) + return grad_proj_geo, grad_texture, grad_nbl, None, None, None, None + + +class Render_RGB(nn.Module): + def __init__(self): + super(Render_RGB, self).__init__() + + def forward( + self, proj_geo, texture, nbl, ori_img, is_visible, tri_inds, pixel_valid + ): + return Render_Face.apply( + proj_geo, texture, nbl, ori_img, is_visible, tri_inds, pixel_valid + ) + + +def cal_land(proj_geo, is_visible, lands_info, land_num): + (land_index,) = render_util.update_contour(lands_info, is_visible, land_num) + proj_land = torch.index_select(proj_geo.reshape(-1, 3), 0, land_index)[ + :, :2 + ].reshape(-1, land_num, 2) + return proj_land + + +class Render_Land(nn.Module): + def __init__(self): + super(Render_Land, self).__init__() + lands_info = np.loadtxt("../data/3DMM/lands_info.txt", dtype=np.int32) + self.lands_info = torch.as_tensor(lands_info).cuda() + tris = np.loadtxt("../data/3DMM/tris.txt", dtype=np.int64) + self.tris = torch.as_tensor(tris).cuda() - 1 + vert_tris = np.loadtxt("../data/3DMM/vert_tris.txt", dtype=np.int64) + self.vert_tris = torch.as_tensor(vert_tris).cuda() + self.normal_baser = Normal_Base().cuda() + self.renderer = Render_RGB().cuda() + + def render_mesh(self, geometry, euler, trans, cam, ori_img, light): + batch_size, h, w, _ = ori_img.shape + ori_img = ori_img.view(batch_size, -1, 3) + ori_size = torch.cat( + ( + torch.ones((batch_size, 1), dtype=torch.int32, device=ori_img.device) + * h, + torch.ones((batch_size, 1), dtype=torch.int32, device=ori_img.device) + * w, + ), + dim=1, + ).view(-1) + rott_geo, proj_geo, rot_tri_normal, _, _ = preprocess_render( + geometry, euler, trans, cam, self.tris, self.vert_tris, ori_img + ) + tri_nb = self.normal_baser(rot_tri_normal.contiguous()) + nbl = torch.bmm( + tri_nb, (light.reshape(-1, 9, 3))[:, :, 0].unsqueeze(-1).repeat(1, 1, 3) + ) + texture = torch.ones_like(geometry) * 200 + (render,) = render_util.render_mesh( + proj_geo, ori_img, ori_size, texture, nbl, self.tris + ) + return render.view(batch_size, h, w, 3).byte() + + def cal_loss_rgb(self, geometry, euler, trans, cam, ori_img, light, texture, lands): + rott_geo, proj_geo, rot_tri_normal, is_visible, pixel_valid = preprocess_render( + geometry, euler, trans, cam, self.tris, self.vert_tris, ori_img + ) + tri_nb = self.normal_baser(rot_tri_normal.contiguous()) + nbl = torch.bmm(tri_nb, light.reshape(-1, 9, 3)) + render, real = self.renderer( + proj_geo, texture, nbl, ori_img, is_visible, self.tris, pixel_valid + ) + proj_land = cal_land(proj_geo, is_visible, self.lands_info, lands.shape[1]) + col_minus = torch.norm((render - real).reshape(-1, 3), dim=1).reshape( + ori_img.shape[0], -1 + ) + col_dis = torch.mean(col_minus * pixel_valid) / ( + torch.mean(pixel_valid) + 0.00001 + ) + land_dists = torch.norm((proj_land - lands).reshape(-1, 2), dim=1).reshape( + ori_img.shape[0], -1 + ) + lan_dis = torch.mean(land_dists) + return col_dis, lan_dis diff --git a/NeRF/data_utils/face_tracking/util.py b/NeRF/data_utils/face_tracking/util.py new file mode 100644 index 0000000000000000000000000000000000000000..d2554eb323903ca41f64d7c938adc5eca9172c3a --- /dev/null +++ b/NeRF/data_utils/face_tracking/util.py @@ -0,0 +1,109 @@ +import torch +import torch.nn as nn +import torch.nn.functional as F + + +def compute_tri_normal(geometry, tris): + tri_1 = tris[:, 0] + tri_2 = tris[:, 1] + tri_3 = tris[:, 2] + vert_1 = torch.index_select(geometry, 1, tri_1) + vert_2 = torch.index_select(geometry, 1, tri_2) + vert_3 = torch.index_select(geometry, 1, tri_3) + nnorm = torch.cross(vert_2 - vert_1, vert_3 - vert_1, 2) + normal = nn.functional.normalize(nnorm) + return normal + + +def euler2rot(euler_angle): + batch_size = euler_angle.shape[0] + theta = euler_angle[:, 0].reshape(-1, 1, 1) + phi = euler_angle[:, 1].reshape(-1, 1, 1) + psi = euler_angle[:, 2].reshape(-1, 1, 1) + one = torch.ones(batch_size, 1, 1).to(euler_angle.device) + zero = torch.zeros(batch_size, 1, 1).to(euler_angle.device) + rot_x = torch.cat( + ( + torch.cat((one, zero, zero), 1), + torch.cat((zero, theta.cos(), theta.sin()), 1), + torch.cat((zero, -theta.sin(), theta.cos()), 1), + ), + 2, + ) + rot_y = torch.cat( + ( + torch.cat((phi.cos(), zero, -phi.sin()), 1), + torch.cat((zero, one, zero), 1), + torch.cat((phi.sin(), zero, phi.cos()), 1), + ), + 2, + ) + rot_z = torch.cat( + ( + torch.cat((psi.cos(), -psi.sin(), zero), 1), + torch.cat((psi.sin(), psi.cos(), zero), 1), + torch.cat((zero, zero, one), 1), + ), + 2, + ) + return torch.bmm(rot_x, torch.bmm(rot_y, rot_z)) + + +def rot_trans_pts(geometry, rot, trans): + rott_geo = torch.bmm(rot, geometry.permute(0, 2, 1)) + trans[:, :, None] + return rott_geo.permute(0, 2, 1) + + +def cal_lap_loss(tensor_list, weight_list): + lap_kernel = ( + torch.Tensor((-0.5, 1.0, -0.5)) + .unsqueeze(0) + .unsqueeze(0) + .float() + .to(tensor_list[0].device) + ) + loss_lap = 0 + for i in range(len(tensor_list)): + in_tensor = tensor_list[i] + in_tensor = in_tensor.view(-1, 1, in_tensor.shape[-1]) + out_tensor = F.conv1d(in_tensor, lap_kernel) + loss_lap += torch.mean(out_tensor ** 2) * weight_list[i] + return loss_lap + + +def proj_pts(rott_geo, focal_length, cxy): + cx, cy = cxy[0], cxy[1] + X = rott_geo[:, :, 0] + Y = rott_geo[:, :, 1] + Z = rott_geo[:, :, 2] + fxX = focal_length * X + fyY = focal_length * Y + proj_x = -fxX / Z + cx + proj_y = fyY / Z + cy + return torch.cat((proj_x[:, :, None], proj_y[:, :, None], Z[:, :, None]), 2) + + +def forward_rott(geometry, euler_angle, trans): + rot = euler2rot(euler_angle) + rott_geo = rot_trans_pts(geometry, rot, trans) + return rott_geo + + +def forward_transform(geometry, euler_angle, trans, focal_length, cxy): + rot = euler2rot(euler_angle) + rott_geo = rot_trans_pts(geometry, rot, trans) + proj_geo = proj_pts(rott_geo, focal_length, cxy) + return proj_geo + + +def cal_lan_loss(proj_lan, gt_lan): + return torch.mean((proj_lan - gt_lan) ** 2) + + +def cal_col_loss(pred_img, gt_img, img_mask): + pred_img = pred_img.float() + # loss = torch.sqrt(torch.sum(torch.square(pred_img - gt_img), 3))*img_mask/255 + loss = (torch.sum(torch.square(pred_img - gt_img), 3)) * img_mask / 255 + loss = torch.sum(loss, dim=(1, 2)) / torch.sum(img_mask, dim=(1, 2)) + loss = torch.mean(loss) + return loss diff --git a/NeRF/data_utils/hubert.py b/NeRF/data_utils/hubert.py new file mode 100644 index 0000000000000000000000000000000000000000..e892f64ed814e6f731312817b12ded7209a634e3 --- /dev/null +++ b/NeRF/data_utils/hubert.py @@ -0,0 +1,92 @@ +from transformers import Wav2Vec2Processor, HubertModel +import soundfile as sf +import numpy as np +import torch + +print("Loading the Wav2Vec2 Processor...") +wav2vec2_processor = Wav2Vec2Processor.from_pretrained("facebook/hubert-large-ls960-ft") +print("Loading the HuBERT Model...") +hubert_model = HubertModel.from_pretrained("facebook/hubert-large-ls960-ft") + + +def get_hubert_from_16k_wav(wav_16k_name): + speech_16k, _ = sf.read(wav_16k_name) + hubert = get_hubert_from_16k_speech(speech_16k) + return hubert + +@torch.no_grad() +def get_hubert_from_16k_speech(speech, device="cuda:0"): + global hubert_model + hubert_model = hubert_model.to(device) + if speech.ndim ==2: + speech = speech[:, 0] # [T, 2] ==> [T,] + input_values_all = wav2vec2_processor(speech, return_tensors="pt", sampling_rate=16000).input_values # [1, T] + input_values_all = input_values_all.to(device) + # For long audio sequence, due to the memory limitation, we cannot process them in one run + # HuBERT process the wav with a CNN of stride [5,2,2,2,2,2], making a stride of 320 + # Besides, the kernel is [10,3,3,3,3,2,2], making 400 a fundamental unit to get 1 time step. + # So the CNN is euqal to a big Conv1D with kernel k=400 and stride s=320 + # We have the equation to calculate out time step: T = floor((t-k)/s) + # To prevent overlap, we set each clip length of (K+S*(N-1)), where N is the expected length T of this clip + # The start point of next clip should roll back with a length of (kernel-stride) so it is stride * N + kernel = 400 + stride = 320 + clip_length = stride * 1000 + num_iter = input_values_all.shape[1] // clip_length + expected_T = (input_values_all.shape[1] - (kernel-stride)) // stride + res_lst = [] + for i in range(num_iter): + if i == 0: + start_idx = 0 + end_idx = clip_length - stride + kernel + else: + start_idx = clip_length * i + end_idx = start_idx + (clip_length - stride + kernel) + input_values = input_values_all[:, start_idx: end_idx] + hidden_states = hubert_model.forward(input_values).last_hidden_state # [B=1, T=pts//320, hid=1024] + res_lst.append(hidden_states[0]) + if num_iter > 0: + input_values = input_values_all[:, clip_length * num_iter:] + else: + input_values = input_values_all + # if input_values.shape[1] != 0: + if input_values.shape[1] >= kernel: # if the last batch is shorter than kernel_size, skip it + hidden_states = hubert_model(input_values).last_hidden_state # [B=1, T=pts//320, hid=1024] + res_lst.append(hidden_states[0]) + ret = torch.cat(res_lst, dim=0).cpu() # [T, 1024] + # assert ret.shape[0] == expected_T + assert abs(ret.shape[0] - expected_T) <= 1 + if ret.shape[0] < expected_T: + ret = torch.nn.functional.pad(ret, (0,0,0,expected_T-ret.shape[0])) + else: + ret = ret[:expected_T] + return ret + +def make_even_first_dim(tensor): + size = list(tensor.size()) + if size[0] % 2 == 1: + size[0] -= 1 + return tensor[:size[0]] + return tensor + +import soundfile as sf +import numpy as np +import torch +from argparse import ArgumentParser +import librosa + +parser = ArgumentParser() +parser.add_argument('--wav', type=str, help='') +args = parser.parse_args() + +wav_name = args.wav + +speech, sr = sf.read(wav_name) +speech_16k = librosa.resample(speech, orig_sr=sr, target_sr=16000) +print("SR: {} to {}".format(sr, 16000)) +# print(speech.shape, speech_16k.shape) + +hubert_hidden = get_hubert_from_16k_speech(speech_16k) +hubert_hidden = make_even_first_dim(hubert_hidden).reshape(-1, 2, 1024) +np.save(wav_name.replace('.wav', '_hu.npy'), hubert_hidden.detach().numpy()) +print(hubert_hidden.detach().numpy().shape) \ No newline at end of file diff --git a/NeRF/data_utils/process.py b/NeRF/data_utils/process.py new file mode 100644 index 0000000000000000000000000000000000000000..93f566159fcb4b7d2439a0d8e33b96ebc7ad34e0 --- /dev/null +++ b/NeRF/data_utils/process.py @@ -0,0 +1,405 @@ +import os +import glob +import tqdm +import json +import argparse +import cv2 +import numpy as np + +def extract_audio(path, out_path, sample_rate=16000): + + print(f'[INFO] ===== extract audio from {path} to {out_path} =====') + cmd = f'ffmpeg -i {path} -f wav -ar {sample_rate} {out_path}' + os.system(cmd) + print(f'[INFO] ===== extracted audio =====') + + +def extract_audio_features(path, mode='wav2vec'): + + print(f'[INFO] ===== extract audio labels for {path} =====') + if mode == 'wav2vec': + cmd = f'python nerf/asr.py --wav {path} --save_feats' + else: # deepspeech + cmd = f'python data_utils/deepspeech_features/extract_ds_features.py --input {path}' + os.system(cmd) + print(f'[INFO] ===== extracted audio labels =====') + + + +def extract_images(path, out_path, fps=25): + + print(f'[INFO] ===== extract images from {path} to {out_path} =====') + cmd = f'ffmpeg -i {path} -vf fps={fps} -qmin 1 -q:v 1 -start_number 0 {os.path.join(out_path, "%d.jpg")}' + os.system(cmd) + print(f'[INFO] ===== extracted images =====') + + +def extract_semantics(ori_imgs_dir, parsing_dir): + + print(f'[INFO] ===== extract semantics from {ori_imgs_dir} to {parsing_dir} =====') + cmd = f'python data_utils/face_parsing/test.py --respath={parsing_dir} --imgpath={ori_imgs_dir}' + os.system(cmd) + print(f'[INFO] ===== extracted semantics =====') + + +def extract_landmarks(ori_imgs_dir): + + print(f'[INFO] ===== extract face landmarks from {ori_imgs_dir} =====') + + import face_alignment + try: + fa = face_alignment.FaceAlignment(face_alignment.LandmarksType._2D, flip_input=False) + except: + fa = face_alignment.FaceAlignment(face_alignment.LandmarksType.TWO_D, flip_input=False) + image_paths = glob.glob(os.path.join(ori_imgs_dir, '*.jpg')) + for image_path in tqdm.tqdm(image_paths): + input = cv2.imread(image_path, cv2.IMREAD_UNCHANGED) # [H, W, 3] + input = cv2.cvtColor(input, cv2.COLOR_BGR2RGB) + preds = fa.get_landmarks(input) + if len(preds) > 0: + lands = preds[0].reshape(-1, 2)[:,:2] + np.savetxt(image_path.replace('jpg', 'lms'), lands, '%f') + del fa + print(f'[INFO] ===== extracted face landmarks =====') + + +def extract_background(base_dir, ori_imgs_dir): + + print(f'[INFO] ===== extract background image from {ori_imgs_dir} =====') + + from sklearn.neighbors import NearestNeighbors + + image_paths = glob.glob(os.path.join(ori_imgs_dir, '*.jpg')) + # only use 1/20 image_paths + image_paths = image_paths[::20] + # read one image to get H/W + tmp_image = cv2.imread(image_paths[0], cv2.IMREAD_UNCHANGED) # [H, W, 3] + h, w = tmp_image.shape[:2] + + # nearest neighbors + all_xys = np.mgrid[0:h, 0:w].reshape(2, -1).transpose() + distss = [] + for image_path in tqdm.tqdm(image_paths): + parse_img = cv2.imread(image_path.replace('ori_imgs', 'parsing').replace('.jpg', '.png')) + bg = (parse_img[..., 0] == 255) & (parse_img[..., 1] == 255) & (parse_img[..., 2] == 255) + fg_xys = np.stack(np.nonzero(~bg)).transpose(1, 0) + nbrs = NearestNeighbors(n_neighbors=1, algorithm='kd_tree').fit(fg_xys) + dists, _ = nbrs.kneighbors(all_xys) + distss.append(dists) + + distss = np.stack(distss) + max_dist = np.max(distss, 0) + max_id = np.argmax(distss, 0) + + bc_pixs = max_dist > 5 + bc_pixs_id = np.nonzero(bc_pixs) + bc_ids = max_id[bc_pixs] + + imgs = [] + num_pixs = distss.shape[1] + for image_path in image_paths: + img = cv2.imread(image_path) + imgs.append(img) + imgs = np.stack(imgs).reshape(-1, num_pixs, 3) + + bc_img = np.zeros((h*w, 3), dtype=np.uint8) + bc_img[bc_pixs_id, :] = imgs[bc_ids, bc_pixs_id, :] + bc_img = bc_img.reshape(h, w, 3) + + max_dist = max_dist.reshape(h, w) + bc_pixs = max_dist > 5 + bg_xys = np.stack(np.nonzero(~bc_pixs)).transpose() + fg_xys = np.stack(np.nonzero(bc_pixs)).transpose() + nbrs = NearestNeighbors(n_neighbors=1, algorithm='kd_tree').fit(fg_xys) + distances, indices = nbrs.kneighbors(bg_xys) + bg_fg_xys = fg_xys[indices[:, 0]] + bc_img[bg_xys[:, 0], bg_xys[:, 1], :] = bc_img[bg_fg_xys[:, 0], bg_fg_xys[:, 1], :] + + cv2.imwrite(os.path.join(base_dir, 'bc.jpg'), bc_img) + + print(f'[INFO] ===== extracted background image =====') + + +def extract_torso_and_gt(base_dir, ori_imgs_dir): + + print(f'[INFO] ===== extract torso and gt images for {base_dir} =====') + + from scipy.ndimage import binary_erosion, binary_dilation + + # load bg + bg_image = cv2.imread(os.path.join(base_dir, 'bc.jpg'), cv2.IMREAD_UNCHANGED) + + image_paths = glob.glob(os.path.join(ori_imgs_dir, '*.jpg')) + + for image_path in tqdm.tqdm(image_paths): + # read ori image + ori_image = cv2.imread(image_path, cv2.IMREAD_UNCHANGED) # [H, W, 3] + + # read semantics + seg = cv2.imread(image_path.replace('ori_imgs', 'parsing').replace('.jpg', '.png')) + head_part = (seg[..., 0] == 255) & (seg[..., 1] == 0) & (seg[..., 2] == 0) + neck_part = (seg[..., 0] == 0) & (seg[..., 1] == 255) & (seg[..., 2] == 0) + torso_part = (seg[..., 0] == 0) & (seg[..., 1] == 0) & (seg[..., 2] == 255) + bg_part = (seg[..., 0] == 255) & (seg[..., 1] == 255) & (seg[..., 2] == 255) + + # get gt image + gt_image = ori_image.copy() + gt_image[bg_part] = bg_image[bg_part] + cv2.imwrite(image_path.replace('ori_imgs', 'gt_imgs'), gt_image) + + # get torso image + torso_image = gt_image.copy() # rgb + torso_image[head_part] = bg_image[head_part] + torso_alpha = 255 * np.ones((gt_image.shape[0], gt_image.shape[1], 1), dtype=np.uint8) # alpha + + # torso part "vertical" in-painting... + L = 8 + 1 + torso_coords = np.stack(np.nonzero(torso_part), axis=-1) # [M, 2] + # lexsort: sort 2D coords first by y then by x, + # ref: https://stackoverflow.com/questions/2706605/sorting-a-2d-numpy-array-by-multiple-axes + inds = np.lexsort((torso_coords[:, 0], torso_coords[:, 1])) + torso_coords = torso_coords[inds] + # choose the top pixel for each column + u, uid, ucnt = np.unique(torso_coords[:, 1], return_index=True, return_counts=True) + top_torso_coords = torso_coords[uid] # [m, 2] + # only keep top-is-head pixels + top_torso_coords_up = top_torso_coords.copy() - np.array([1, 0]) + mask = head_part[tuple(top_torso_coords_up.T)] + if mask.any(): + top_torso_coords = top_torso_coords[mask] + # get the color + top_torso_colors = gt_image[tuple(top_torso_coords.T)] # [m, 3] + # construct inpaint coords (vertically up, or minus in x) + inpaint_torso_coords = top_torso_coords[None].repeat(L, 0) # [L, m, 2] + inpaint_offsets = np.stack([-np.arange(L), np.zeros(L, dtype=np.int32)], axis=-1)[:, None] # [L, 1, 2] + inpaint_torso_coords += inpaint_offsets + inpaint_torso_coords = inpaint_torso_coords.reshape(-1, 2) # [Lm, 2] + inpaint_torso_colors = top_torso_colors[None].repeat(L, 0) # [L, m, 3] + darken_scaler = 0.98 ** np.arange(L).reshape(L, 1, 1) # [L, 1, 1] + inpaint_torso_colors = (inpaint_torso_colors * darken_scaler).reshape(-1, 3) # [Lm, 3] + # set color + torso_image[tuple(inpaint_torso_coords.T)] = inpaint_torso_colors + + inpaint_torso_mask = np.zeros_like(torso_image[..., 0]).astype(bool) + inpaint_torso_mask[tuple(inpaint_torso_coords.T)] = True + else: + inpaint_torso_mask = None + + + # neck part "vertical" in-painting... + push_down = 4 + L = 48 + push_down + 1 + + neck_part = binary_dilation(neck_part, structure=np.array([[0, 1, 0], [0, 1, 0], [0, 1, 0]], dtype=bool), iterations=3) + + neck_coords = np.stack(np.nonzero(neck_part), axis=-1) # [M, 2] + # lexsort: sort 2D coords first by y then by x, + # ref: https://stackoverflow.com/questions/2706605/sorting-a-2d-numpy-array-by-multiple-axes + inds = np.lexsort((neck_coords[:, 0], neck_coords[:, 1])) + neck_coords = neck_coords[inds] + # choose the top pixel for each column + u, uid, ucnt = np.unique(neck_coords[:, 1], return_index=True, return_counts=True) + top_neck_coords = neck_coords[uid] # [m, 2] + # only keep top-is-head pixels + top_neck_coords_up = top_neck_coords.copy() - np.array([1, 0]) + mask = head_part[tuple(top_neck_coords_up.T)] + + top_neck_coords = top_neck_coords[mask] + # push these top down for 4 pixels to make the neck inpainting more natural... + offset_down = np.minimum(ucnt[mask] - 1, push_down) + top_neck_coords += np.stack([offset_down, np.zeros_like(offset_down)], axis=-1) + # get the color + top_neck_colors = gt_image[tuple(top_neck_coords.T)] # [m, 3] + # construct inpaint coords (vertically up, or minus in x) + inpaint_neck_coords = top_neck_coords[None].repeat(L, 0) # [L, m, 2] + inpaint_offsets = np.stack([-np.arange(L), np.zeros(L, dtype=np.int32)], axis=-1)[:, None] # [L, 1, 2] + inpaint_neck_coords += inpaint_offsets + inpaint_neck_coords = inpaint_neck_coords.reshape(-1, 2) # [Lm, 2] + inpaint_neck_colors = top_neck_colors[None].repeat(L, 0) # [L, m, 3] + darken_scaler = 0.98 ** np.arange(L).reshape(L, 1, 1) # [L, 1, 1] + inpaint_neck_colors = (inpaint_neck_colors * darken_scaler).reshape(-1, 3) # [Lm, 3] + # set color + torso_image[tuple(inpaint_neck_coords.T)] = inpaint_neck_colors + + # apply blurring to the inpaint area to avoid vertical-line artifects... + inpaint_mask = np.zeros_like(torso_image[..., 0]).astype(bool) + inpaint_mask[tuple(inpaint_neck_coords.T)] = True + + blur_img = torso_image.copy() + blur_img = cv2.GaussianBlur(blur_img, (5, 5), cv2.BORDER_DEFAULT) + + torso_image[inpaint_mask] = blur_img[inpaint_mask] + + # set mask + mask = (neck_part | torso_part | inpaint_mask) + if inpaint_torso_mask is not None: + mask = mask | inpaint_torso_mask + torso_image[~mask] = 0 + torso_alpha[~mask] = 0 + + cv2.imwrite(image_path.replace('ori_imgs', 'torso_imgs').replace('.jpg', '.png'), np.concatenate([torso_image, torso_alpha], axis=-1)) + + print(f'[INFO] ===== extracted torso and gt images =====') + + +def face_tracking(ori_imgs_dir): + + print(f'[INFO] ===== perform face tracking =====') + + image_paths = glob.glob(os.path.join(ori_imgs_dir, '*.jpg')) + + # read one image to get H/W + tmp_image = cv2.imread(image_paths[0], cv2.IMREAD_UNCHANGED) # [H, W, 3] + h, w = tmp_image.shape[:2] + + cmd = f'python data_utils/face_tracking/face_tracker.py --path={ori_imgs_dir} --img_h={h} --img_w={w} --frame_num={len(image_paths)}' + + os.system(cmd) + + print(f'[INFO] ===== finished face tracking =====') + + +def save_transforms(base_dir, ori_imgs_dir): + print(f'[INFO] ===== save transforms =====') + + import torch + + image_paths = glob.glob(os.path.join(ori_imgs_dir, '*.jpg')) + + # read one image to get H/W + tmp_image = cv2.imread(image_paths[0], cv2.IMREAD_UNCHANGED) # [H, W, 3] + h, w = tmp_image.shape[:2] + + params_dict = torch.load(os.path.join(base_dir, 'track_params.pt')) + focal_len = params_dict['focal'] + euler_angle = params_dict['euler'] + trans = params_dict['trans'] / 10.0 + valid_num = euler_angle.shape[0] + + def euler2rot(euler_angle): + batch_size = euler_angle.shape[0] + theta = euler_angle[:, 0].reshape(-1, 1, 1) + phi = euler_angle[:, 1].reshape(-1, 1, 1) + psi = euler_angle[:, 2].reshape(-1, 1, 1) + one = torch.ones((batch_size, 1, 1), dtype=torch.float32, device=euler_angle.device) + zero = torch.zeros((batch_size, 1, 1), dtype=torch.float32, device=euler_angle.device) + rot_x = torch.cat(( + torch.cat((one, zero, zero), 1), + torch.cat((zero, theta.cos(), theta.sin()), 1), + torch.cat((zero, -theta.sin(), theta.cos()), 1), + ), 2) + rot_y = torch.cat(( + torch.cat((phi.cos(), zero, -phi.sin()), 1), + torch.cat((zero, one, zero), 1), + torch.cat((phi.sin(), zero, phi.cos()), 1), + ), 2) + rot_z = torch.cat(( + torch.cat((psi.cos(), -psi.sin(), zero), 1), + torch.cat((psi.sin(), psi.cos(), zero), 1), + torch.cat((zero, zero, one), 1) + ), 2) + return torch.bmm(rot_x, torch.bmm(rot_y, rot_z)) + + + # train_val_split = int(valid_num*0.5) + # train_val_split = valid_num - 25 * 20 # take the last 20s as valid set. + train_val_split = int(valid_num * 10 / 11) + + train_ids = torch.arange(0, train_val_split) + val_ids = torch.arange(train_val_split, valid_num) + + rot = euler2rot(euler_angle) + rot_inv = rot.permute(0, 2, 1) + trans_inv = -torch.bmm(rot_inv, trans.unsqueeze(2)) + + pose = torch.eye(4, dtype=torch.float32) + save_ids = ['train', 'val'] + train_val_ids = [train_ids, val_ids] + mean_z = -float(torch.mean(trans[:, 2]).item()) + + for split in range(2): + transform_dict = dict() + transform_dict['focal_len'] = float(focal_len[0]) + transform_dict['cx'] = float(w/2.0) + transform_dict['cy'] = float(h/2.0) + transform_dict['frames'] = [] + ids = train_val_ids[split] + save_id = save_ids[split] + + for i in ids: + i = i.item() + frame_dict = dict() + frame_dict['img_id'] = i + frame_dict['aud_id'] = i + + pose[:3, :3] = rot_inv[i] + pose[:3, 3] = trans_inv[i, :, 0] + + frame_dict['transform_matrix'] = pose.numpy().tolist() + + transform_dict['frames'].append(frame_dict) + + with open(os.path.join(base_dir, 'transforms_' + save_id + '.json'), 'w') as fp: + json.dump(transform_dict, fp, indent=2, separators=(',', ': ')) + + print(f'[INFO] ===== finished saving transforms =====') + + +if __name__ == '__main__': + parser = argparse.ArgumentParser() + parser.add_argument('path', type=str, help="path to video file") + parser.add_argument('--task', type=int, default=-1, help="-1 means all") + parser.add_argument('--asr', type=str, default='deepspeech', help="wav2vec or deepspeech") + + opt = parser.parse_args() + + base_dir = os.path.dirname(opt.path) + + wav_path = os.path.join(base_dir, 'aud.wav') + ori_imgs_dir = os.path.join(base_dir, 'ori_imgs') + parsing_dir = os.path.join(base_dir, 'parsing') + gt_imgs_dir = os.path.join(base_dir, 'gt_imgs') + torso_imgs_dir = os.path.join(base_dir, 'torso_imgs') + + os.makedirs(ori_imgs_dir, exist_ok=True) + os.makedirs(parsing_dir, exist_ok=True) + os.makedirs(gt_imgs_dir, exist_ok=True) + os.makedirs(torso_imgs_dir, exist_ok=True) + + + # extract audio + if opt.task == -1 or opt.task == 1: + extract_audio(opt.path, wav_path) + + # extract audio features + if opt.task == -1 or opt.task == 2: + extract_audio_features(wav_path, mode=opt.asr) + + # extract images + if opt.task == -1 or opt.task == 3: + extract_images(opt.path, ori_imgs_dir) + + # face parsing + if opt.task == -1 or opt.task == 4: + extract_semantics(ori_imgs_dir, parsing_dir) + + # extract bg + if opt.task == -1 or opt.task == 5: + extract_background(base_dir, ori_imgs_dir) + + # extract torso images and gt_images + if opt.task == -1 or opt.task == 6: + extract_torso_and_gt(base_dir, ori_imgs_dir) + + # extract face landmarks + if opt.task == -1 or opt.task == 7: + extract_landmarks(ori_imgs_dir) + + # face tracking + if opt.task == -1 or opt.task == 8: + face_tracking(ori_imgs_dir) + + # save transforms.json + if opt.task == -1 or opt.task == 9: + save_transforms(base_dir, ori_imgs_dir) + diff --git a/NeRF/data_utils/wav2mel.py b/NeRF/data_utils/wav2mel.py new file mode 100644 index 0000000000000000000000000000000000000000..f3609e363600b6b9448b653d613cb382c54f4513 --- /dev/null +++ b/NeRF/data_utils/wav2mel.py @@ -0,0 +1,167 @@ +import librosa +import librosa.filters +import numpy as np +from scipy import signal +from wav2mel_hparams import hparams as hp +from librosa.core.audio import resample +import soundfile as sf + +def load_wav(path, sr): + return librosa.core.load(path, sr=sr) + +def preemphasis(wav, k, preemphasize=True): + if preemphasize: + return signal.lfilter([1, -k], [1], wav) + return wav + +def inv_preemphasis(wav, k, inv_preemphasize=True): + if inv_preemphasize: + return signal.lfilter([1], [1, -k], wav) + return wav + +def get_hop_size(): + hop_size = hp.hop_size + if hop_size is None: + assert hp.frame_shift_ms is not None + hop_size = int(hp.frame_shift_ms / 1000 * hp.sample_rate) + return hop_size + +def linearspectrogram(wav): + D = _stft(preemphasis(wav, hp.preemphasis, hp.preemphasize)) + S = _amp_to_db(np.abs(D)) - hp.ref_level_db + + if hp.signal_normalization: + return _normalize(S) + return S + +def melspectrogram(wav): + D = _stft(preemphasis(wav, hp.preemphasis, hp.preemphasize)) + S = _amp_to_db(_linear_to_mel(np.abs(D))) - hp.ref_level_db + + if hp.signal_normalization: + return _normalize(S) + return S + +def _stft(y): + return librosa.stft(y=y, n_fft=hp.n_fft, hop_length=get_hop_size(), win_length=hp.win_size) + +########################################################## +#Those are only correct when using lws!!! (This was messing with Wavenet quality for a long time!) +def num_frames(length, fsize, fshift): + """Compute number of time frames of spectrogram + """ + pad = (fsize - fshift) + if length % fshift == 0: + M = (length + pad * 2 - fsize) // fshift + 1 + else: + M = (length + pad * 2 - fsize) // fshift + 2 + return M + + +def pad_lr(x, fsize, fshift): + """Compute left and right padding + """ + M = num_frames(len(x), fsize, fshift) + pad = (fsize - fshift) + T = len(x) + 2 * pad + r = (M - 1) * fshift + fsize - T + return pad, pad + r +########################################################## +#Librosa correct padding +def librosa_pad_lr(x, fsize, fshift): + return 0, (x.shape[0] // fshift + 1) * fshift - x.shape[0] + +# Conversions +_mel_basis = None + +def _linear_to_mel(spectogram): + global _mel_basis + if _mel_basis is None: + _mel_basis = _build_mel_basis() + return np.dot(_mel_basis, spectogram) + +def _build_mel_basis(): + assert hp.fmax <= hp.sample_rate // 2 + return librosa.filters.mel(sr=hp.sample_rate, n_fft=hp.n_fft, n_mels=hp.num_mels, + fmin=hp.fmin, fmax=hp.fmax) + +def _amp_to_db(x): + min_level = np.exp(hp.min_level_db / 20 * np.log(10)) + return 20 * np.log10(np.maximum(min_level, x)) + +def _db_to_amp(x): + return np.power(10.0, (x) * 0.05) + +def _normalize(S): + if hp.allow_clipping_in_normalization: + if hp.symmetric_mels: + return np.clip((2 * hp.max_abs_value) * ((S - hp.min_level_db) / (-hp.min_level_db)) - hp.max_abs_value, + -hp.max_abs_value, hp.max_abs_value) + else: + return np.clip(hp.max_abs_value * ((S - hp.min_level_db) / (-hp.min_level_db)), 0, hp.max_abs_value) + + assert S.max() <= 0 and S.min() - hp.min_level_db >= 0 + if hp.symmetric_mels: + return (2 * hp.max_abs_value) * ((S - hp.min_level_db) / (-hp.min_level_db)) - hp.max_abs_value + else: + return hp.max_abs_value * ((S - hp.min_level_db) / (-hp.min_level_db)) + +def _denormalize(D): + if hp.allow_clipping_in_normalization: + if hp.symmetric_mels: + return (((np.clip(D, -hp.max_abs_value, + hp.max_abs_value) + hp.max_abs_value) * -hp.min_level_db / (2 * hp.max_abs_value)) + + hp.min_level_db) + else: + return ((np.clip(D, 0, hp.max_abs_value) * -hp.min_level_db / hp.max_abs_value) + hp.min_level_db) + + if hp.symmetric_mels: + return (((D + hp.max_abs_value) * -hp.min_level_db / (2 * hp.max_abs_value)) + hp.min_level_db) + else: + return ((D * -hp.min_level_db / hp.max_abs_value) + hp.min_level_db) + + + +def wav2mel(wav, sr): + wav16k = resample(wav, orig_sr=sr, target_sr=16000) + # print('wav16k', wav16k.shape, wav16k.dtype) + mel = melspectrogram(wav16k) + # print('mel', mel.shape, mel.dtype) + if np.isnan(mel.reshape(-1)).sum() > 0: + raise ValueError( + 'Mel contains nan! Using a TTS voice? Add a small epsilon noise to the wav file and try again') + # mel.dtype = np.float32 + mel_chunks = [] + mel_idx_multiplier = 80. / 25 + mel_step_size = 8 + i = start_idx = 0 + while start_idx < len(mel[0]): + start_idx = int(i * mel_idx_multiplier) + if start_idx + mel_step_size // 2 > len(mel[0]): + mel_chunks.append(mel[:, len(mel[0]) - mel_step_size:]) + elif start_idx - mel_step_size // 2 < 0: + mel_chunks.append(mel[:, :mel_step_size]) + else: + mel_chunks.append(mel[:, start_idx - mel_step_size // 2 : start_idx + mel_step_size // 2]) + i += 1 + return mel_chunks + + + +if __name__ == '__main__': + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument('--wav', type=str, default='') + parser.add_argument('--save_feats', action='store_true') + + opt = parser.parse_args() + + wav, sr = librosa.core.load(opt.wav) + mel_chunks = np.array(wav2mel(wav.T, sr)) + print(mel_chunks.shape, mel_chunks.transpose(0,2,1).shape) + + if opt.save_feats: + save_path = opt.wav.replace('.wav', '_mel.npy') + np.save(save_path, mel_chunks.transpose(0,2,1)) + print(f"[INFO] saved logits to {save_path}") \ No newline at end of file diff --git a/NeRF/data_utils/wav2mel_hparams.py b/NeRF/data_utils/wav2mel_hparams.py new file mode 100644 index 0000000000000000000000000000000000000000..184b4a50237aa52ae45a0fb314ce5c9bce4be06e --- /dev/null +++ b/NeRF/data_utils/wav2mel_hparams.py @@ -0,0 +1,80 @@ +class HParams: + def __init__(self, **kwargs): + self.data = {} + + for key, value in kwargs.items(): + self.data[key] = value + + def __getattr__(self, key): + if key not in self.data: + raise AttributeError("'HParams' object has no attribute %s" % key) + return self.data[key] + + def set_hparam(self, key, value): + self.data[key] = value + +# Default hyperparameters +hparams = HParams( + num_mels=80, # Number of mel-spectrogram channels and local conditioning dimensionality + # network + rescale=True, # Whether to rescale audio prior to preprocessing + rescaling_max=0.9, # Rescaling value + + # Use LWS (https://github.com/Jonathan-LeRoux/lws) for STFT and phase reconstruction + # It"s preferred to set True to use with https://github.com/r9y9/wavenet_vocoder + # Does not work if n_ffit is not multiple of hop_size!! + use_lws=False, + + n_fft=800, # Extra window size is filled with 0 paddings to match this parameter + hop_size=200, # For 16000Hz, 200 = 12.5 ms (0.0125 * sample_rate) + win_size=800, # For 16000Hz, 800 = 50 ms (If None, win_size = n_fft) (0.05 * sample_rate) + sample_rate=16000, # 16000Hz (corresponding to librispeech) (sox --i ) + + frame_shift_ms=None, # Can replace hop_size parameter. (Recommended: 12.5) + + # Mel and Linear spectrograms normalization/scaling and clipping + signal_normalization=True, + # Whether to normalize mel spectrograms to some predefined range (following below parameters) + allow_clipping_in_normalization=True, # Only relevant if mel_normalization = True + symmetric_mels=True, + # Whether to scale the data to be symmetric around 0. (Also multiplies the output range by 2, + # faster and cleaner convergence) + max_abs_value=4., + # max absolute value of data. If symmetric, data will be [-max, max] else [0, max] (Must not + # be too big to avoid gradient explosion, + # not too small for fast convergence) + # Contribution by @begeekmyfriend + # Spectrogram Pre-Emphasis (Lfilter: Reduce spectrogram noise and helps model certitude + # levels. Also allows for better G&L phase reconstruction) + preemphasize=True, # whether to apply filter + preemphasis=0.97, # filter coefficient. + + # Limits + min_level_db=-100, + ref_level_db=20, + fmin=65, + # Set this to 55 if your speaker is male! if female, 95 should help taking off noise. (To + # test depending on dataset. Pitch info: male~[65, 260], female~[100, 525]) + fmax=6000, # To be increased/reduced depending on data. + + ###################### Our training parameters ################################# + img_size=96, + fps=25, + + batch_size=16, + initial_learning_rate=1e-4, + nepochs=200000000000000000, ### ctrl + c, stop whenever eval loss is consistently greater than train loss for ~10 epochs + num_workers=16, + checkpoint_interval=3000, + eval_interval=3000, + save_optimizer_state=True, + + syncnet_wt=0.0, # is initially zero, will be set automatically to 0.03 later. Leads to faster convergence. + syncnet_batch_size=64, + syncnet_lr=1e-4, + syncnet_eval_interval=10000, + syncnet_checkpoint_interval=10000, + + disc_wt=0.07, + disc_initial_learning_rate=1e-4, +) diff --git a/NeRF/encoding.py b/NeRF/encoding.py new file mode 100644 index 0000000000000000000000000000000000000000..c700b475b5e7586849ce4fb113aa96cca12450b4 --- /dev/null +++ b/NeRF/encoding.py @@ -0,0 +1,38 @@ +import torch +import torch.nn as nn +import torch.nn.functional as F + + +def get_encoder(encoding, input_dim=3, + multires=6, + degree=4, + num_levels=16, level_dim=2, base_resolution=16, log2_hashmap_size=19, desired_resolution=2048, align_corners=False, + **kwargs): + + if encoding == 'None': + return lambda x, **kwargs: x, input_dim + + elif encoding == 'frequency': + from freqencoder import FreqEncoder + encoder = FreqEncoder(input_dim=input_dim, degree=multires) + + elif encoding == 'spherical_harmonics': + from shencoder import SHEncoder + encoder = SHEncoder(input_dim=input_dim, degree=degree) + + elif encoding == 'hashgrid': + from gridencoder import GridEncoder + encoder = GridEncoder(input_dim=input_dim, num_levels=num_levels, level_dim=level_dim, base_resolution=base_resolution, log2_hashmap_size=log2_hashmap_size, desired_resolution=desired_resolution, gridtype='hash', align_corners=align_corners) + + elif encoding == 'tiledgrid': + from gridencoder import GridEncoder + encoder = GridEncoder(input_dim=input_dim, num_levels=num_levels, level_dim=level_dim, base_resolution=base_resolution, log2_hashmap_size=log2_hashmap_size, desired_resolution=desired_resolution, gridtype='tiled', align_corners=align_corners) + + elif encoding == 'ash': + from ashencoder import AshEncoder + encoder = AshEncoder(input_dim=input_dim, output_dim=16, log2_hashmap_size=log2_hashmap_size, resolution=desired_resolution) + + else: + raise NotImplementedError('Unknown encoding mode, choose from [None, frequency, spherical_harmonics, hashgrid, tiledgrid]') + + return encoder, encoder.output_dim \ No newline at end of file diff --git a/NeRF/freqencoder/__init__.py b/NeRF/freqencoder/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..69ec49cf6e87b396bfe9730fe7580097c0670a6c --- /dev/null +++ b/NeRF/freqencoder/__init__.py @@ -0,0 +1 @@ +from .freq import FreqEncoder \ No newline at end of file diff --git a/NeRF/freqencoder/backend.py b/NeRF/freqencoder/backend.py new file mode 100644 index 0000000000000000000000000000000000000000..a89e3516a5e051a29395dd3b40b53945788d9fa8 --- /dev/null +++ b/NeRF/freqencoder/backend.py @@ -0,0 +1,41 @@ +import os +from torch.utils.cpp_extension import load + +_src_path = os.path.dirname(os.path.abspath(__file__)) + +nvcc_flags = [ + '-O3', '-std=c++14', + '-U__CUDA_NO_HALF_OPERATORS__', '-U__CUDA_NO_HALF_CONVERSIONS__', '-U__CUDA_NO_HALF2_OPERATORS__', + '-use_fast_math' +] + +if os.name == "posix": + c_flags = ['-O3', '-std=c++14'] +elif os.name == "nt": + c_flags = ['/O2', '/std:c++17'] + + # find cl.exe + def find_cl_path(): + import glob + for edition in ["Enterprise", "Professional", "BuildTools", "Community"]: + paths = sorted(glob.glob(r"C:\\Program Files (x86)\\Microsoft Visual Studio\\*\\%s\\VC\\Tools\\MSVC\\*\\bin\\Hostx64\\x64" % edition), reverse=True) + if paths: + return paths[0] + + # If cl.exe is not on path, try to find it. + if os.system("where cl.exe >nul 2>nul") != 0: + cl_path = find_cl_path() + if cl_path is None: + raise RuntimeError("Could not locate a supported Microsoft Visual C++ installation") + os.environ["PATH"] += ";" + cl_path + +_backend = load(name='_freqencoder', + extra_cflags=c_flags, + extra_cuda_cflags=nvcc_flags, + sources=[os.path.join(_src_path, 'src', f) for f in [ + 'freqencoder.cu', + 'bindings.cpp', + ]], + ) + +__all__ = ['_backend'] \ No newline at end of file diff --git a/NeRF/freqencoder/freq.py b/NeRF/freqencoder/freq.py new file mode 100644 index 0000000000000000000000000000000000000000..05179f1945aaab290444e61878cb40077dbf065c --- /dev/null +++ b/NeRF/freqencoder/freq.py @@ -0,0 +1,77 @@ +import numpy as np + +import torch +import torch.nn as nn +from torch.autograd import Function +from torch.autograd.function import once_differentiable +from torch.cuda.amp import custom_bwd, custom_fwd + +try: + import _freqencoder as _backend +except ImportError: + from .backend import _backend + + +class _freq_encoder(Function): + @staticmethod + @custom_fwd(cast_inputs=torch.float32) # force float32 for better precision + def forward(ctx, inputs, degree, output_dim): + # inputs: [B, input_dim], float + # RETURN: [B, F], float + + if not inputs.is_cuda: inputs = inputs.cuda() + inputs = inputs.contiguous() + + B, input_dim = inputs.shape # batch size, coord dim + + outputs = torch.empty(B, output_dim, dtype=inputs.dtype, device=inputs.device) + + _backend.freq_encode_forward(inputs, B, input_dim, degree, output_dim, outputs) + + ctx.save_for_backward(inputs, outputs) + ctx.dims = [B, input_dim, degree, output_dim] + + return outputs + + @staticmethod + #@once_differentiable + @custom_bwd + def backward(ctx, grad): + # grad: [B, C * C] + + grad = grad.contiguous() + inputs, outputs = ctx.saved_tensors + B, input_dim, degree, output_dim = ctx.dims + + grad_inputs = torch.zeros_like(inputs) + _backend.freq_encode_backward(grad, outputs, B, input_dim, degree, output_dim, grad_inputs) + + return grad_inputs, None, None + + +freq_encode = _freq_encoder.apply + + +class FreqEncoder(nn.Module): + def __init__(self, input_dim=3, degree=4): + super().__init__() + + self.input_dim = input_dim + self.degree = degree + self.output_dim = input_dim + input_dim * 2 * degree + + def __repr__(self): + return f"FreqEncoder: input_dim={self.input_dim} degree={self.degree} output_dim={self.output_dim}" + + def forward(self, inputs, **kwargs): + # inputs: [..., input_dim] + # return: [..., ] + + prefix_shape = list(inputs.shape[:-1]) + inputs = inputs.reshape(-1, self.input_dim) + + outputs = freq_encode(inputs, self.degree, self.output_dim) + + outputs = outputs.reshape(prefix_shape + [self.output_dim]) + + return outputs \ No newline at end of file diff --git a/NeRF/freqencoder/setup.py b/NeRF/freqencoder/setup.py new file mode 100644 index 0000000000000000000000000000000000000000..b4148b81c12ac25f339f6a3b59d535fa8d7b85e1 --- /dev/null +++ b/NeRF/freqencoder/setup.py @@ -0,0 +1,54 @@ +import os +from setuptools import setup +from torch.utils.cpp_extension import BuildExtension, CUDAExtension + +_src_path = os.path.dirname(os.path.abspath(__file__)) + +nvcc_flags = [ + '-O3', + # '-std=c++14', + '-std=c++17', + '-U__CUDA_NO_HALF_OPERATORS__', '-U__CUDA_NO_HALF_CONVERSIONS__', '-U__CUDA_NO_HALF2_OPERATORS__', + '-use_fast_math' +] + +if os.name == "posix": + # c_flags = ['-O3', '-std=c++14'] + c_flags = ['-O3', '-std=c++17'] +elif os.name == "nt": + c_flags = ['/O2', '/std:c++17'] + + # find cl.exe + def find_cl_path(): + import glob + for edition in ["Enterprise", "Professional", "BuildTools", "Community"]: + paths = sorted(glob.glob(r"C:\\Program Files (x86)\\Microsoft Visual Studio\\*\\%s\\VC\\Tools\\MSVC\\*\\bin\\Hostx64\\x64" % edition), reverse=True) + if paths: + return paths[0] + + # If cl.exe is not on path, try to find it. + if os.system("where cl.exe >nul 2>nul") != 0: + cl_path = find_cl_path() + if cl_path is None: + raise RuntimeError("Could not locate a supported Microsoft Visual C++ installation") + os.environ["PATH"] += ";" + cl_path + +setup( + name='freqencoder', # package name, import this to use python API + ext_modules=[ + CUDAExtension( + name='_freqencoder', # extension name, import this to use CUDA API + sources=[os.path.join(_src_path, 'src', f) for f in [ + 'freqencoder.cu', + 'bindings.cpp', + ]], + extra_compile_args={ + 'cxx': c_flags, + 'nvcc': nvcc_flags, + } + ), + ], + cmdclass={ + 'build_ext': BuildExtension, + } +) \ No newline at end of file diff --git a/NeRF/freqencoder/src/bindings.cpp b/NeRF/freqencoder/src/bindings.cpp new file mode 100644 index 0000000000000000000000000000000000000000..dc48bd05521362422e96a16e11e1d0bf38ab7711 --- /dev/null +++ b/NeRF/freqencoder/src/bindings.cpp @@ -0,0 +1,8 @@ +#include + +#include "freqencoder.h" + +PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) { + m.def("freq_encode_forward", &freq_encode_forward, "freq encode forward (CUDA)"); + m.def("freq_encode_backward", &freq_encode_backward, "freq encode backward (CUDA)"); +} \ No newline at end of file diff --git a/NeRF/freqencoder/src/freqencoder.cu b/NeRF/freqencoder/src/freqencoder.cu new file mode 100644 index 0000000000000000000000000000000000000000..e1e0e89763d9715f15a505a12da49d117d687f76 --- /dev/null +++ b/NeRF/freqencoder/src/freqencoder.cu @@ -0,0 +1,129 @@ +#include + +#include +#include +#include + +#include +#include + +#include +#include + +#include + + +#define CHECK_CUDA(x) TORCH_CHECK(x.device().is_cuda(), #x " must be a CUDA tensor") +#define CHECK_CONTIGUOUS(x) TORCH_CHECK(x.is_contiguous(), #x " must be a contiguous tensor") +#define CHECK_IS_INT(x) TORCH_CHECK(x.scalar_type() == at::ScalarType::Int, #x " must be an int tensor") +#define CHECK_IS_FLOATING(x) TORCH_CHECK(x.scalar_type() == at::ScalarType::Float || x.scalar_type() == at::ScalarType::Half || x.scalar_type() == at::ScalarType::Double, #x " must be a floating tensor") + +inline constexpr __device__ float PI() { return 3.141592653589793f; } + +template +__host__ __device__ T div_round_up(T val, T divisor) { + return (val + divisor - 1) / divisor; +} + +// inputs: [B, D] +// outputs: [B, C], C = D + D * deg * 2 +__global__ void kernel_freq( + const float * __restrict__ inputs, + uint32_t B, uint32_t D, uint32_t deg, uint32_t C, + float * outputs +) { + // parallel on per-element + const uint32_t t = threadIdx.x + blockIdx.x * blockDim.x; + if (t >= B * C) return; + + // get index + const uint32_t b = t / C; + const uint32_t c = t - b * C; // t % C; + + // locate + inputs += b * D; + outputs += t; + + // write self + if (c < D) { + outputs[0] = inputs[c]; + // write freq + } else { + const uint32_t col = c / D - 1; + const uint32_t d = c % D; + const uint32_t freq = col / 2; + const float phase_shift = (col % 2) * (PI() / 2); + outputs[0] = __sinf(scalbnf(inputs[d], freq) + phase_shift); + } +} + +// grad: [B, C], C = D + D * deg * 2 +// outputs: [B, C] +// grad_inputs: [B, D] +__global__ void kernel_freq_backward( + const float * __restrict__ grad, + const float * __restrict__ outputs, + uint32_t B, uint32_t D, uint32_t deg, uint32_t C, + float * grad_inputs +) { + // parallel on per-element + const uint32_t t = threadIdx.x + blockIdx.x * blockDim.x; + if (t >= B * D) return; + + const uint32_t b = t / D; + const uint32_t d = t - b * D; // t % D; + + // locate + grad += b * C; + outputs += b * C; + grad_inputs += t; + + // register + float result = grad[d]; + grad += D; + outputs += D; + + for (uint32_t f = 0; f < deg; f++) { + result += scalbnf(1.0f, f) * (grad[d] * outputs[D + d] - grad[D + d] * outputs[d]); + grad += 2 * D; + outputs += 2 * D; + } + + // write + grad_inputs[0] = result; +} + + +void freq_encode_forward(at::Tensor inputs, const uint32_t B, const uint32_t D, const uint32_t deg, const uint32_t C, at::Tensor outputs) { + CHECK_CUDA(inputs); + CHECK_CUDA(outputs); + + CHECK_CONTIGUOUS(inputs); + CHECK_CONTIGUOUS(outputs); + + CHECK_IS_FLOATING(inputs); + CHECK_IS_FLOATING(outputs); + + static constexpr uint32_t N_THREADS = 128; + + kernel_freq<<>>(inputs.data_ptr(), B, D, deg, C, outputs.data_ptr()); +} + + +void freq_encode_backward(at::Tensor grad, at::Tensor outputs, const uint32_t B, const uint32_t D, const uint32_t deg, const uint32_t C, at::Tensor grad_inputs) { + CHECK_CUDA(grad); + CHECK_CUDA(outputs); + CHECK_CUDA(grad_inputs); + + CHECK_CONTIGUOUS(grad); + CHECK_CONTIGUOUS(outputs); + CHECK_CONTIGUOUS(grad_inputs); + + CHECK_IS_FLOATING(grad); + CHECK_IS_FLOATING(outputs); + CHECK_IS_FLOATING(grad_inputs); + + static constexpr uint32_t N_THREADS = 128; + + kernel_freq_backward<<>>(grad.data_ptr(), outputs.data_ptr(), B, D, deg, C, grad_inputs.data_ptr()); +} \ No newline at end of file diff --git a/NeRF/freqencoder/src/freqencoder.h b/NeRF/freqencoder/src/freqencoder.h new file mode 100644 index 0000000000000000000000000000000000000000..cc420ee60b1719897efba96c167194b80cfa9601 --- /dev/null +++ b/NeRF/freqencoder/src/freqencoder.h @@ -0,0 +1,10 @@ +# pragma once + +#include +#include + +// _backend.freq_encode_forward(inputs, B, input_dim, degree, output_dim, outputs) +void freq_encode_forward(at::Tensor inputs, const uint32_t B, const uint32_t D, const uint32_t deg, const uint32_t C, at::Tensor outputs); + +// _backend.freq_encode_backward(grad, outputs, B, input_dim, degree, output_dim, grad_inputs) +void freq_encode_backward(at::Tensor grad, at::Tensor outputs, const uint32_t B, const uint32_t D, const uint32_t deg, const uint32_t C, at::Tensor grad_inputs); \ No newline at end of file diff --git a/NeRF/gridencoder/__init__.py b/NeRF/gridencoder/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..f1476cef5314e0918b963d1ac64ee0613a7743d5 --- /dev/null +++ b/NeRF/gridencoder/__init__.py @@ -0,0 +1 @@ +from .grid import GridEncoder \ No newline at end of file diff --git a/NeRF/gridencoder/backend.py b/NeRF/gridencoder/backend.py new file mode 100644 index 0000000000000000000000000000000000000000..64a39ff905352c3e8a60836a85cac4731f8885e2 --- /dev/null +++ b/NeRF/gridencoder/backend.py @@ -0,0 +1,40 @@ +import os +from torch.utils.cpp_extension import load + +_src_path = os.path.dirname(os.path.abspath(__file__)) + +nvcc_flags = [ + '-O3', '-std=c++14', + '-U__CUDA_NO_HALF_OPERATORS__', '-U__CUDA_NO_HALF_CONVERSIONS__', '-U__CUDA_NO_HALF2_OPERATORS__', +] + +if os.name == "posix": + c_flags = ['-O3', '-std=c++14', '-finput-charset=UTF-8'] +elif os.name == "nt": + c_flags = ['/O2', '/std:c++17', '/finput-charset=UTF-8'] + + # find cl.exe + def find_cl_path(): + import glob + for edition in ["Enterprise", "Professional", "BuildTools", "Community"]: + paths = sorted(glob.glob(r"C:\\Program Files (x86)\\Microsoft Visual Studio\\*\\%s\\VC\\Tools\\MSVC\\*\\bin\\Hostx64\\x64" % edition), reverse=True) + if paths: + return paths[0] + + # If cl.exe is not on path, try to find it. + if os.system("where cl.exe >nul 2>nul") != 0: + cl_path = find_cl_path() + if cl_path is None: + raise RuntimeError("Could not locate a supported Microsoft Visual C++ installation") + os.environ["PATH"] += ";" + cl_path + +_backend = load(name='_grid_encoder', + extra_cflags=c_flags, + extra_cuda_cflags=nvcc_flags, + sources=[os.path.join(_src_path, 'src', f) for f in [ + 'gridencoder.cu', + 'bindings.cpp', + ]], + ) + +__all__ = ['_backend'] \ No newline at end of file diff --git a/NeRF/gridencoder/grid.py b/NeRF/gridencoder/grid.py new file mode 100644 index 0000000000000000000000000000000000000000..8536992bd04419e11d15e479449dde9a7881c0ed --- /dev/null +++ b/NeRF/gridencoder/grid.py @@ -0,0 +1,155 @@ +import numpy as np + +import torch +import torch.nn as nn +from torch.autograd import Function +from torch.autograd.function import once_differentiable +from torch.cuda.amp import custom_bwd, custom_fwd + +try: + import _gridencoder as _backend +except ImportError: + from .backend import _backend + +_gridtype_to_id = { + 'hash': 0, + 'tiled': 1, +} + +class _grid_encode(Function): + @staticmethod + @custom_fwd + def forward(ctx, inputs, embeddings, offsets, per_level_scale, base_resolution, calc_grad_inputs=False, gridtype=0, align_corners=False): + # inputs: [B, D], float in [0, 1] + # embeddings: [sO, C], float + # offsets: [L + 1], int + # RETURN: [B, F], float + + inputs = inputs.float().contiguous() + + B, D = inputs.shape # batch size, coord dim + L = offsets.shape[0] - 1 # level + C = embeddings.shape[1] # embedding dim for each level + S = np.log2(per_level_scale) # resolution multiplier at each level, apply log2 for later CUDA exp2f + H = base_resolution # base resolution + + # manually handle autocast (only use half precision embeddings, inputs must be float for enough precision) + # if C % 2 != 0, force float, since half for atomicAdd is very slow. + if torch.is_autocast_enabled() and C % 2 == 0: + embeddings = embeddings.to(torch.half) + + # L first, optimize cache for cuda kernel, but needs an extra permute later + outputs = torch.empty(L, B, C, device=inputs.device, dtype=embeddings.dtype) + + if calc_grad_inputs: + dy_dx = torch.empty(B, L * D * C, device=inputs.device, dtype=embeddings.dtype) + else: + dy_dx = None + + _backend.grid_encode_forward(inputs, embeddings, offsets, outputs, B, D, C, L, S, H, dy_dx, gridtype, align_corners) + + # permute back to [B, L * C] + outputs = outputs.permute(1, 0, 2).reshape(B, L * C) + + ctx.save_for_backward(inputs, embeddings, offsets, dy_dx) + ctx.dims = [B, D, C, L, S, H, gridtype] + ctx.align_corners = align_corners + + return outputs + + @staticmethod + #@once_differentiable + @custom_bwd + def backward(ctx, grad): + + inputs, embeddings, offsets, dy_dx = ctx.saved_tensors + B, D, C, L, S, H, gridtype = ctx.dims + align_corners = ctx.align_corners + + # grad: [B, L * C] --> [L, B, C] + grad = grad.view(B, L, C).permute(1, 0, 2).contiguous() + + grad_embeddings = torch.zeros_like(embeddings) + + if dy_dx is not None: + grad_inputs = torch.zeros_like(inputs, dtype=embeddings.dtype) + else: + grad_inputs = None + + _backend.grid_encode_backward(grad, inputs, embeddings, offsets, grad_embeddings, B, D, C, L, S, H, dy_dx, grad_inputs, gridtype, align_corners) + + if dy_dx is not None: + grad_inputs = grad_inputs.to(inputs.dtype) + + return grad_inputs, grad_embeddings, None, None, None, None, None, None + + + +grid_encode = _grid_encode.apply + + +class GridEncoder(nn.Module): + def __init__(self, input_dim=3, num_levels=16, level_dim=2, per_level_scale=2, base_resolution=16, log2_hashmap_size=19, desired_resolution=None, gridtype='hash', align_corners=False): + super().__init__() + + # the finest resolution desired at the last level, if provided, overridee per_level_scale + if desired_resolution is not None: + per_level_scale = np.exp2(np.log2(desired_resolution / base_resolution) / (num_levels - 1)) + + self.input_dim = input_dim # coord dims, 2 or 3 + self.num_levels = num_levels # num levels, each level multiply resolution by 2 + self.level_dim = level_dim # encode channels per level + self.per_level_scale = per_level_scale # multiply resolution by this scale at each level. + self.log2_hashmap_size = log2_hashmap_size + self.base_resolution = base_resolution + self.output_dim = num_levels * level_dim + self.gridtype = gridtype + self.gridtype_id = _gridtype_to_id[gridtype] # "tiled" or "hash" + self.align_corners = align_corners + + # allocate parameters + offsets = [] + offset = 0 + self.max_params = 2 ** log2_hashmap_size + for i in range(num_levels): + resolution = int(np.ceil(base_resolution * per_level_scale ** i)) + params_in_level = min(self.max_params, (resolution if align_corners else resolution + 1) ** input_dim) # limit max number + params_in_level = int(np.ceil(params_in_level / 8) * 8) # make divisible + offsets.append(offset) + offset += params_in_level + # print(resolution, params_in_level) + offsets.append(offset) + offsets = torch.from_numpy(np.array(offsets, dtype=np.int32)) + self.register_buffer('offsets', offsets) + + self.n_params = offsets[-1] * level_dim + + # parameters + self.embeddings = nn.Parameter(torch.empty(offset, level_dim)) + + self.reset_parameters() + + def reset_parameters(self): + std = 1e-4 + self.embeddings.data.uniform_(-std, std) + + def __repr__(self): + return f"GridEncoder: input_dim={self.input_dim} num_levels={self.num_levels} level_dim={self.level_dim} resolution={self.base_resolution} -> {int(round(self.base_resolution * self.per_level_scale ** (self.num_levels - 1)))} per_level_scale={self.per_level_scale:.4f} params={tuple(self.embeddings.shape)} gridtype={self.gridtype} align_corners={self.align_corners}" + + def forward(self, inputs, bound=1): + # inputs: [..., input_dim], normalized real world positions in [-bound, bound] + # return: [..., num_levels * level_dim] + + inputs = (inputs + bound) / (2 * bound) # map to [0, 1] + + #print('inputs', inputs.shape, inputs.dtype, inputs.min().item(), inputs.max().item()) + + prefix_shape = list(inputs.shape[:-1]) + inputs = inputs.view(-1, self.input_dim) + + outputs = grid_encode(inputs, self.embeddings, self.offsets, self.per_level_scale, self.base_resolution, inputs.requires_grad, self.gridtype_id, self.align_corners) + outputs = outputs.view(prefix_shape + [self.output_dim]) + + #print('outputs', outputs.shape, outputs.dtype, outputs.min().item(), outputs.max().item()) + + return outputs \ No newline at end of file diff --git a/NeRF/gridencoder/setup.py b/NeRF/gridencoder/setup.py new file mode 100644 index 0000000000000000000000000000000000000000..54a3610165d22057b68bd837d045f3001c3cf4d1 --- /dev/null +++ b/NeRF/gridencoder/setup.py @@ -0,0 +1,53 @@ +import os +from setuptools import setup +from torch.utils.cpp_extension import BuildExtension, CUDAExtension + +_src_path = os.path.dirname(os.path.abspath(__file__)) + +nvcc_flags = [ + '-O3', + # '-std=c++14', + '-std=c++17', + '-U__CUDA_NO_HALF_OPERATORS__', '-U__CUDA_NO_HALF_CONVERSIONS__', '-U__CUDA_NO_HALF2_OPERATORS__', +] + +if os.name == "posix": + # c_flags = ['-O3', '-std=c++14'] + c_flags = ['-O3', '-std=c++17'] +elif os.name == "nt": + c_flags = ['/O2', '/std:c++17'] + + # find cl.exe + def find_cl_path(): + import glob + for edition in ["Enterprise", "Professional", "BuildTools", "Community"]: + paths = sorted(glob.glob(r"C:\\Program Files (x86)\\Microsoft Visual Studio\\*\\%s\\VC\\Tools\\MSVC\\*\\bin\\Hostx64\\x64" % edition), reverse=True) + if paths: + return paths[0] + + # If cl.exe is not on path, try to find it. + if os.system("where cl.exe >nul 2>nul") != 0: + cl_path = find_cl_path() + if cl_path is None: + raise RuntimeError("Could not locate a supported Microsoft Visual C++ installation") + os.environ["PATH"] += ";" + cl_path + +setup( + name='gridencoder', # package name, import this to use python API + ext_modules=[ + CUDAExtension( + name='_gridencoder', # extension name, import this to use CUDA API + sources=[os.path.join(_src_path, 'src', f) for f in [ + 'gridencoder.cu', + 'bindings.cpp', + ]], + extra_compile_args={ + 'cxx': c_flags, + 'nvcc': nvcc_flags, + } + ), + ], + cmdclass={ + 'build_ext': BuildExtension, + } +) \ No newline at end of file diff --git a/NeRF/gridencoder/src/bindings.cpp b/NeRF/gridencoder/src/bindings.cpp new file mode 100644 index 0000000000000000000000000000000000000000..45f29b76e426b1cfd88201f0a6ac10329ef07c68 --- /dev/null +++ b/NeRF/gridencoder/src/bindings.cpp @@ -0,0 +1,8 @@ +#include + +#include "gridencoder.h" + +PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) { + m.def("grid_encode_forward", &grid_encode_forward, "grid_encode_forward (CUDA)"); + m.def("grid_encode_backward", &grid_encode_backward, "grid_encode_backward (CUDA)"); +} \ No newline at end of file diff --git a/NeRF/gridencoder/src/gridencoder.cu b/NeRF/gridencoder/src/gridencoder.cu new file mode 100644 index 0000000000000000000000000000000000000000..34c1aba2af7675ebb3c246de6c246c56fdc46399 --- /dev/null +++ b/NeRF/gridencoder/src/gridencoder.cu @@ -0,0 +1,479 @@ +#include +#include +#include + +#include +#include + +#include +#include + +#include +#include + + +#define CHECK_CUDA(x) TORCH_CHECK(x.device().is_cuda(), #x " must be a CUDA tensor") +#define CHECK_CONTIGUOUS(x) TORCH_CHECK(x.is_contiguous(), #x " must be a contiguous tensor") +#define CHECK_IS_INT(x) TORCH_CHECK(x.scalar_type() == at::ScalarType::Int, #x " must be an int tensor") +#define CHECK_IS_FLOATING(x) TORCH_CHECK(x.scalar_type() == at::ScalarType::Float || x.scalar_type() == at::ScalarType::Half || x.scalar_type() == at::ScalarType::Double, #x " must be a floating tensor") + + +// just for compatability of half precision in AT_DISPATCH_FLOATING_TYPES_AND_HALF... +static inline __device__ at::Half atomicAdd(at::Half *address, at::Half val) { + // requires CUDA >= 10 and ARCH >= 70 + // this is very slow compared to float or __half2, and never used. + //return atomicAdd(reinterpret_cast<__half*>(address), val); +} + + +template +static inline __host__ __device__ T div_round_up(T val, T divisor) { + return (val + divisor - 1) / divisor; +} + + +template +__device__ uint32_t fast_hash(const uint32_t pos_grid[D]) { + static_assert(D <= 7, "fast_hash can only hash up to 7 dimensions."); + + // While 1 is technically not a good prime for hashing (or a prime at all), it helps memory coherence + // and is sufficient for our use case of obtaining a uniformly colliding index from high-dimensional + // coordinates. + constexpr uint32_t primes[7] = { 1, 2654435761, 805459861, 3674653429, 2097192037, 1434869437, 2165219737 }; + + uint32_t result = 0; + #pragma unroll + for (uint32_t i = 0; i < D; ++i) { + result ^= pos_grid[i] * primes[i]; + } + + return result; +} + + +template +__device__ uint32_t get_grid_index(const uint32_t gridtype, const bool align_corners, const uint32_t ch, const uint32_t hashmap_size, const uint32_t resolution, const uint32_t pos_grid[D]) { + uint32_t stride = 1; + uint32_t index = 0; + + #pragma unroll + for (uint32_t d = 0; d < D && stride <= hashmap_size; d++) { + index += pos_grid[d] * stride; + stride *= align_corners ? resolution: (resolution + 1); + } + + // NOTE: for NeRF, the hash is in fact not necessary. Check https://github.com/NVlabs/instant-ngp/issues/97. + // gridtype: 0 == hash, 1 == tiled + if (gridtype == 0 && stride > hashmap_size) { + index = fast_hash(pos_grid); + } + + return (index % hashmap_size) * C + ch; +} + + +template +__global__ void kernel_grid( + const float * __restrict__ inputs, + const scalar_t * __restrict__ grid, + const int * __restrict__ offsets, + scalar_t * __restrict__ outputs, + const uint32_t B, const uint32_t L, const float S, const uint32_t H, + scalar_t * __restrict__ dy_dx, + const uint32_t gridtype, + const bool align_corners +) { + const uint32_t b = blockIdx.x * blockDim.x + threadIdx.x; + + if (b >= B) return; + + const uint32_t level = blockIdx.y; + + // locate + grid += (uint32_t)offsets[level] * C; + inputs += b * D; + outputs += level * B * C + b * C; + + // check input range (should be in [0, 1]) + bool flag_oob = false; + #pragma unroll + for (uint32_t d = 0; d < D; d++) { + if (inputs[d] < 0 || inputs[d] > 1) { + flag_oob = true; + } + } + // if input out of bound, just set output to 0 + if (flag_oob) { + #pragma unroll + for (uint32_t ch = 0; ch < C; ch++) { + outputs[ch] = 0; + } + if (dy_dx) { + dy_dx += b * D * L * C + level * D * C; // B L D C + #pragma unroll + for (uint32_t d = 0; d < D; d++) { + #pragma unroll + for (uint32_t ch = 0; ch < C; ch++) { + dy_dx[d * C + ch] = 0; + } + } + } + return; + } + + const uint32_t hashmap_size = offsets[level + 1] - offsets[level]; + const float scale = exp2f(level * S) * H - 1.0f; + const uint32_t resolution = (uint32_t)ceil(scale) + 1; + + // calculate coordinate + float pos[D]; + uint32_t pos_grid[D]; + + #pragma unroll + for (uint32_t d = 0; d < D; d++) { + pos[d] = inputs[d] * scale + (align_corners ? 0.0f : 0.5f); + pos_grid[d] = floorf(pos[d]); + pos[d] -= (float)pos_grid[d]; + } + + //printf("[b=%d, l=%d] pos=(%f, %f)+(%d, %d)\n", b, level, pos[0], pos[1], pos_grid[0], pos_grid[1]); + + // interpolate + scalar_t results[C] = {0}; // temp results in register + + #pragma unroll + for (uint32_t idx = 0; idx < (1 << D); idx++) { + float w = 1; + uint32_t pos_grid_local[D]; + + #pragma unroll + for (uint32_t d = 0; d < D; d++) { + if ((idx & (1 << d)) == 0) { + w *= 1 - pos[d]; + pos_grid_local[d] = pos_grid[d]; + } else { + w *= pos[d]; + pos_grid_local[d] = pos_grid[d] + 1; + } + } + + uint32_t index = get_grid_index(gridtype, align_corners, 0, hashmap_size, resolution, pos_grid_local); + + // writing to register (fast) + #pragma unroll + for (uint32_t ch = 0; ch < C; ch++) { + results[ch] += w * grid[index + ch]; + } + + //printf("[b=%d, l=%d] int %d, idx %d, w %f, val %f\n", b, level, idx, index, w, grid[index]); + } + + // writing to global memory (slow) + #pragma unroll + for (uint32_t ch = 0; ch < C; ch++) { + outputs[ch] = results[ch]; + } + + // prepare dy_dx + // differentiable (soft) indexing: https://discuss.pytorch.org/t/differentiable-indexing/17647/9 + if (dy_dx) { + + dy_dx += b * D * L * C + level * D * C; // B L D C + + #pragma unroll + for (uint32_t gd = 0; gd < D; gd++) { + + scalar_t results_grad[C] = {0}; + + #pragma unroll + for (uint32_t idx = 0; idx < (1 << (D - 1)); idx++) { + float w = scale; + uint32_t pos_grid_local[D]; + + #pragma unroll + for (uint32_t nd = 0; nd < D - 1; nd++) { + const uint32_t d = (nd >= gd) ? (nd + 1) : nd; + + if ((idx & (1 << nd)) == 0) { + w *= 1 - pos[d]; + pos_grid_local[d] = pos_grid[d]; + } else { + w *= pos[d]; + pos_grid_local[d] = pos_grid[d] + 1; + } + } + + pos_grid_local[gd] = pos_grid[gd]; + uint32_t index_left = get_grid_index(gridtype, align_corners, 0, hashmap_size, resolution, pos_grid_local); + pos_grid_local[gd] = pos_grid[gd] + 1; + uint32_t index_right = get_grid_index(gridtype, align_corners, 0, hashmap_size, resolution, pos_grid_local); + + #pragma unroll + for (uint32_t ch = 0; ch < C; ch++) { + results_grad[ch] += w * (grid[index_right + ch] - grid[index_left + ch]); + } + } + + #pragma unroll + for (uint32_t ch = 0; ch < C; ch++) { + dy_dx[gd * C + ch] = results_grad[ch]; + } + } + } +} + + +template +__global__ void kernel_grid_backward( + const scalar_t * __restrict__ grad, + const float * __restrict__ inputs, + const scalar_t * __restrict__ grid, + const int * __restrict__ offsets, + scalar_t * __restrict__ grad_grid, + const uint32_t B, const uint32_t L, const float S, const uint32_t H, + const uint32_t gridtype, + const bool align_corners +) { + const uint32_t b = (blockIdx.x * blockDim.x + threadIdx.x) * N_C / C; + if (b >= B) return; + + const uint32_t level = blockIdx.y; + const uint32_t ch = (blockIdx.x * blockDim.x + threadIdx.x) * N_C - b * C; + + // locate + grad_grid += offsets[level] * C; + inputs += b * D; + grad += level * B * C + b * C + ch; // L, B, C + + const uint32_t hashmap_size = offsets[level + 1] - offsets[level]; + const float scale = exp2f(level * S) * H - 1.0f; + const uint32_t resolution = (uint32_t)ceil(scale) + 1; + + // check input range (should be in [0, 1]) + #pragma unroll + for (uint32_t d = 0; d < D; d++) { + if (inputs[d] < 0 || inputs[d] > 1) { + return; // grad is init as 0, so we simply return. + } + } + + // calculate coordinate + float pos[D]; + uint32_t pos_grid[D]; + + #pragma unroll + for (uint32_t d = 0; d < D; d++) { + pos[d] = inputs[d] * scale + (align_corners ? 0.0f : 0.5f); + pos_grid[d] = floorf(pos[d]); + pos[d] -= (float)pos_grid[d]; + } + + scalar_t grad_cur[N_C] = {0}; // fetch to register + #pragma unroll + for (uint32_t c = 0; c < N_C; c++) { + grad_cur[c] = grad[c]; + } + + // interpolate + #pragma unroll + for (uint32_t idx = 0; idx < (1 << D); idx++) { + float w = 1; + uint32_t pos_grid_local[D]; + + #pragma unroll + for (uint32_t d = 0; d < D; d++) { + if ((idx & (1 << d)) == 0) { + w *= 1 - pos[d]; + pos_grid_local[d] = pos_grid[d]; + } else { + w *= pos[d]; + pos_grid_local[d] = pos_grid[d] + 1; + } + } + + uint32_t index = get_grid_index(gridtype, align_corners, ch, hashmap_size, resolution, pos_grid_local); + + // atomicAdd for __half is slow (especially for large values), so we use __half2 if N_C % 2 == 0 + // TODO: use float which is better than __half, if N_C % 2 != 0 + if (std::is_same::value && N_C % 2 == 0) { + #pragma unroll + for (uint32_t c = 0; c < N_C; c += 2) { + // process two __half at once (by interpreting as a __half2) + __half2 v = {(__half)(w * grad_cur[c]), (__half)(w * grad_cur[c + 1])}; + atomicAdd((__half2*)&grad_grid[index + c], v); + } + // float, or __half when N_C % 2 != 0 (which means C == 1) + } else { + #pragma unroll + for (uint32_t c = 0; c < N_C; c++) { + atomicAdd(&grad_grid[index + c], w * grad_cur[c]); + } + } + } +} + + +template +__global__ void kernel_input_backward( + const scalar_t * __restrict__ grad, + const scalar_t * __restrict__ dy_dx, + scalar_t * __restrict__ grad_inputs, + uint32_t B, uint32_t L +) { + const uint32_t t = threadIdx.x + blockIdx.x * blockDim.x; + if (t >= B * D) return; + + const uint32_t b = t / D; + const uint32_t d = t - b * D; + + dy_dx += b * L * D * C; + + scalar_t result = 0; + + # pragma unroll + for (int l = 0; l < L; l++) { + # pragma unroll + for (int ch = 0; ch < C; ch++) { + result += grad[l * B * C + b * C + ch] * dy_dx[l * D * C + d * C + ch]; + } + } + + grad_inputs[t] = result; +} + + +template +void kernel_grid_wrapper(const float *inputs, const scalar_t *embeddings, const int *offsets, scalar_t *outputs, const uint32_t B, const uint32_t C, const uint32_t L, const float S, const uint32_t H, scalar_t *dy_dx, const uint32_t gridtype, const bool align_corners) { + static constexpr uint32_t N_THREAD = 512; + const dim3 blocks_hashgrid = { div_round_up(B, N_THREAD), L, 1 }; + switch (C) { + case 1: kernel_grid<<>>(inputs, embeddings, offsets, outputs, B, L, S, H, dy_dx, gridtype, align_corners); break; + case 2: kernel_grid<<>>(inputs, embeddings, offsets, outputs, B, L, S, H, dy_dx, gridtype, align_corners); break; + case 4: kernel_grid<<>>(inputs, embeddings, offsets, outputs, B, L, S, H, dy_dx, gridtype, align_corners); break; + case 8: kernel_grid<<>>(inputs, embeddings, offsets, outputs, B, L, S, H, dy_dx, gridtype, align_corners); break; + default: throw std::runtime_error{"GridEncoding: C must be 1, 2, 4, or 8."}; + } +} + +// inputs: [B, D], float, in [0, 1] +// embeddings: [sO, C], float +// offsets: [L + 1], uint32_t +// outputs: [L, B, C], float (L first, so only one level of hashmap needs to fit into cache at a time.) +// H: base resolution +// dy_dx: [B, L * D * C] +template +void grid_encode_forward_cuda(const float *inputs, const scalar_t *embeddings, const int *offsets, scalar_t *outputs, const uint32_t B, const uint32_t D, const uint32_t C, const uint32_t L, const float S, const uint32_t H, scalar_t *dy_dx, const uint32_t gridtype, const bool align_corners) { + switch (D) { + case 1: kernel_grid_wrapper(inputs, embeddings, offsets, outputs, B, C, L, S, H, dy_dx, gridtype, align_corners); break; + case 2: kernel_grid_wrapper(inputs, embeddings, offsets, outputs, B, C, L, S, H, dy_dx, gridtype, align_corners); break; + case 3: kernel_grid_wrapper(inputs, embeddings, offsets, outputs, B, C, L, S, H, dy_dx, gridtype, align_corners); break; + case 4: kernel_grid_wrapper(inputs, embeddings, offsets, outputs, B, C, L, S, H, dy_dx, gridtype, align_corners); break; + case 5: kernel_grid_wrapper(inputs, embeddings, offsets, outputs, B, C, L, S, H, dy_dx, gridtype, align_corners); break; + default: throw std::runtime_error{"GridEncoding: D must be 1, 2, 3, 4, or 5"}; + } + +} + +template +void kernel_grid_backward_wrapper(const scalar_t *grad, const float *inputs, const scalar_t *embeddings, const int *offsets, scalar_t *grad_embeddings, const uint32_t B, const uint32_t C, const uint32_t L, const float S, const uint32_t H, scalar_t *dy_dx, scalar_t *grad_inputs, const uint32_t gridtype, const bool align_corners) { + static constexpr uint32_t N_THREAD = 256; + const uint32_t N_C = std::min(2u, C); // n_features_per_thread + const dim3 blocks_hashgrid = { div_round_up(B * C / N_C, N_THREAD), L, 1 }; + switch (C) { + case 1: + kernel_grid_backward<<>>(grad, inputs, embeddings, offsets, grad_embeddings, B, L, S, H, gridtype, align_corners); + if (dy_dx) kernel_input_backward<<>>(grad, dy_dx, grad_inputs, B, L); + break; + case 2: + kernel_grid_backward<<>>(grad, inputs, embeddings, offsets, grad_embeddings, B, L, S, H, gridtype, align_corners); + if (dy_dx) kernel_input_backward<<>>(grad, dy_dx, grad_inputs, B, L); + break; + case 4: + kernel_grid_backward<<>>(grad, inputs, embeddings, offsets, grad_embeddings, B, L, S, H, gridtype, align_corners); + if (dy_dx) kernel_input_backward<<>>(grad, dy_dx, grad_inputs, B, L); + break; + case 8: + kernel_grid_backward<<>>(grad, inputs, embeddings, offsets, grad_embeddings, B, L, S, H, gridtype, align_corners); + if (dy_dx) kernel_input_backward<<>>(grad, dy_dx, grad_inputs, B, L); + break; + default: throw std::runtime_error{"GridEncoding: C must be 1, 2, 4, or 8."}; + } +} + + +// grad: [L, B, C], float +// inputs: [B, D], float, in [0, 1] +// embeddings: [sO, C], float +// offsets: [L + 1], uint32_t +// grad_embeddings: [sO, C] +// H: base resolution +template +void grid_encode_backward_cuda(const scalar_t *grad, const float *inputs, const scalar_t *embeddings, const int *offsets, scalar_t *grad_embeddings, const uint32_t B, const uint32_t D, const uint32_t C, const uint32_t L, const float S, const uint32_t H, scalar_t *dy_dx, scalar_t *grad_inputs, const uint32_t gridtype, const bool align_corners) { + switch (D) { + case 1: kernel_grid_backward_wrapper(grad, inputs, embeddings, offsets, grad_embeddings, B, C, L, S, H, dy_dx, grad_inputs, gridtype, align_corners); break; + case 2: kernel_grid_backward_wrapper(grad, inputs, embeddings, offsets, grad_embeddings, B, C, L, S, H, dy_dx, grad_inputs, gridtype, align_corners); break; + case 3: kernel_grid_backward_wrapper(grad, inputs, embeddings, offsets, grad_embeddings, B, C, L, S, H, dy_dx, grad_inputs, gridtype, align_corners); break; + case 4: kernel_grid_backward_wrapper(grad, inputs, embeddings, offsets, grad_embeddings, B, C, L, S, H, dy_dx, grad_inputs, gridtype, align_corners); break; + case 5: kernel_grid_backward_wrapper(grad, inputs, embeddings, offsets, grad_embeddings, B, C, L, S, H, dy_dx, grad_inputs, gridtype, align_corners); break; + default: throw std::runtime_error{"GridEncoding: D must be 1, 2, 3, 4, or 5"}; + } +} + + + +void grid_encode_forward(const at::Tensor inputs, const at::Tensor embeddings, const at::Tensor offsets, at::Tensor outputs, const uint32_t B, const uint32_t D, const uint32_t C, const uint32_t L, const float S, const uint32_t H, at::optional dy_dx, const uint32_t gridtype, const bool align_corners) { + CHECK_CUDA(inputs); + CHECK_CUDA(embeddings); + CHECK_CUDA(offsets); + CHECK_CUDA(outputs); + // CHECK_CUDA(dy_dx); + + CHECK_CONTIGUOUS(inputs); + CHECK_CONTIGUOUS(embeddings); + CHECK_CONTIGUOUS(offsets); + CHECK_CONTIGUOUS(outputs); + // CHECK_CONTIGUOUS(dy_dx); + + CHECK_IS_FLOATING(inputs); + CHECK_IS_FLOATING(embeddings); + CHECK_IS_INT(offsets); + CHECK_IS_FLOATING(outputs); + // CHECK_IS_FLOATING(dy_dx); + + AT_DISPATCH_FLOATING_TYPES_AND_HALF( + embeddings.scalar_type(), "grid_encode_forward", ([&] { + grid_encode_forward_cuda(inputs.data_ptr(), embeddings.data_ptr(), offsets.data_ptr(), outputs.data_ptr(), B, D, C, L, S, H, dy_dx.has_value() ? dy_dx.value().data_ptr() : nullptr, gridtype, align_corners); + })); +} + +void grid_encode_backward(const at::Tensor grad, const at::Tensor inputs, const at::Tensor embeddings, const at::Tensor offsets, at::Tensor grad_embeddings, const uint32_t B, const uint32_t D, const uint32_t C, const uint32_t L, const float S, const uint32_t H, const at::optional dy_dx, at::optional grad_inputs, const uint32_t gridtype, const bool align_corners) { + CHECK_CUDA(grad); + CHECK_CUDA(inputs); + CHECK_CUDA(embeddings); + CHECK_CUDA(offsets); + CHECK_CUDA(grad_embeddings); + // CHECK_CUDA(dy_dx); + // CHECK_CUDA(grad_inputs); + + CHECK_CONTIGUOUS(grad); + CHECK_CONTIGUOUS(inputs); + CHECK_CONTIGUOUS(embeddings); + CHECK_CONTIGUOUS(offsets); + CHECK_CONTIGUOUS(grad_embeddings); + // CHECK_CONTIGUOUS(dy_dx); + // CHECK_CONTIGUOUS(grad_inputs); + + CHECK_IS_FLOATING(grad); + CHECK_IS_FLOATING(inputs); + CHECK_IS_FLOATING(embeddings); + CHECK_IS_INT(offsets); + CHECK_IS_FLOATING(grad_embeddings); + // CHECK_IS_FLOATING(dy_dx); + // CHECK_IS_FLOATING(grad_inputs); + + AT_DISPATCH_FLOATING_TYPES_AND_HALF( + grad.scalar_type(), "grid_encode_backward", ([&] { + grid_encode_backward_cuda(grad.data_ptr(), inputs.data_ptr(), embeddings.data_ptr(), offsets.data_ptr(), grad_embeddings.data_ptr(), B, D, C, L, S, H, dy_dx.has_value() ? dy_dx.value().data_ptr() : nullptr, grad_inputs.has_value() ? grad_inputs.value().data_ptr() : nullptr, gridtype, align_corners); + })); + +} diff --git a/NeRF/gridencoder/src/gridencoder.h b/NeRF/gridencoder/src/gridencoder.h new file mode 100644 index 0000000000000000000000000000000000000000..89b6249eaf2b5aa62a59f267047f8a66e56c1d09 --- /dev/null +++ b/NeRF/gridencoder/src/gridencoder.h @@ -0,0 +1,15 @@ +#ifndef _HASH_ENCODE_H +#define _HASH_ENCODE_H + +#include +#include + +// inputs: [B, D], float, in [0, 1] +// embeddings: [sO, C], float +// offsets: [L + 1], uint32_t +// outputs: [B, L * C], float +// H: base resolution +void grid_encode_forward(const at::Tensor inputs, const at::Tensor embeddings, const at::Tensor offsets, at::Tensor outputs, const uint32_t B, const uint32_t D, const uint32_t C, const uint32_t L, const float S, const uint32_t H, at::optional dy_dx, const uint32_t gridtype, const bool align_corners); +void grid_encode_backward(const at::Tensor grad, const at::Tensor inputs, const at::Tensor embeddings, const at::Tensor offsets, at::Tensor grad_embeddings, const uint32_t B, const uint32_t D, const uint32_t C, const uint32_t L, const float S, const uint32_t H, const at::optional dy_dx, at::optional grad_inputs, const uint32_t gridtype, const bool align_corners); + +#endif \ No newline at end of file diff --git a/NeRF/nerf_triplane/asr.py b/NeRF/nerf_triplane/asr.py new file mode 100644 index 0000000000000000000000000000000000000000..dc8db9c29169e7b41e5259b68afd0a89cabe7ec3 --- /dev/null +++ b/NeRF/nerf_triplane/asr.py @@ -0,0 +1,419 @@ +import time +import numpy as np +import torch +import torch.nn.functional as F +from transformers import AutoModelForCTC, AutoProcessor + +import pyaudio +import soundfile as sf +import resampy + +from queue import Queue +from threading import Thread, Event + + +def _read_frame(stream, exit_event, queue, chunk): + + while True: + if exit_event.is_set(): + print(f'[INFO] read frame thread ends') + break + frame = stream.read(chunk, exception_on_overflow=False) + frame = np.frombuffer(frame, dtype=np.int16).astype(np.float32) / 32767 # [chunk] + queue.put(frame) + +def _play_frame(stream, exit_event, queue, chunk): + + while True: + if exit_event.is_set(): + print(f'[INFO] play frame thread ends') + break + frame = queue.get() + frame = (frame * 32767).astype(np.int16).tobytes() + stream.write(frame, chunk) + +class ASR: + def __init__(self, opt): + + self.opt = opt + + self.play = opt.asr_play + + self.device = 'cuda' if torch.cuda.is_available() else 'cpu' + self.fps = opt.fps # 20 ms per frame + self.sample_rate = 16000 + self.chunk = self.sample_rate // self.fps # 320 samples per chunk (20ms * 16000 / 1000) + self.mode = 'live' if opt.asr_wav == '' else 'file' + + if 'esperanto' in self.opt.asr_model: + self.audio_dim = 44 + elif 'deepspeech' in self.opt.asr_model: + self.audio_dim = 29 + else: + self.audio_dim = 32 + + # prepare context cache + # each segment is (stride_left + ctx + stride_right) * 20ms, latency should be (ctx + stride_right) * 20ms + self.context_size = opt.m + self.stride_left_size = opt.l + self.stride_right_size = opt.r + self.text = '[START]\n' + self.terminated = False + self.frames = [] + + # pad left frames + if self.stride_left_size > 0: + self.frames.extend([np.zeros(self.chunk, dtype=np.float32)] * self.stride_left_size) + + + self.exit_event = Event() + self.audio_instance = pyaudio.PyAudio() + + # create input stream + if self.mode == 'file': + self.file_stream = self.create_file_stream() + else: + # start a background process to read frames + self.input_stream = self.audio_instance.open(format=pyaudio.paInt16, channels=1, rate=self.sample_rate, input=True, output=False, frames_per_buffer=self.chunk) + self.queue = Queue() + self.process_read_frame = Thread(target=_read_frame, args=(self.input_stream, self.exit_event, self.queue, self.chunk)) + + # play out the audio too...? + if self.play: + self.output_stream = self.audio_instance.open(format=pyaudio.paInt16, channels=1, rate=self.sample_rate, input=False, output=True, frames_per_buffer=self.chunk) + self.output_queue = Queue() + self.process_play_frame = Thread(target=_play_frame, args=(self.output_stream, self.exit_event, self.output_queue, self.chunk)) + + # current location of audio + self.idx = 0 + + # create wav2vec model + print(f'[INFO] loading ASR model {self.opt.asr_model}...') + self.processor = AutoProcessor.from_pretrained(opt.asr_model) + self.model = AutoModelForCTC.from_pretrained(opt.asr_model).to(self.device) + + # prepare to save logits + if self.opt.asr_save_feats: + self.all_feats = [] + + # the extracted features + # use a loop queue to efficiently record endless features: [f--t---][-------][-------] + self.feat_buffer_size = 4 + self.feat_buffer_idx = 0 + self.feat_queue = torch.zeros(self.feat_buffer_size * self.context_size, self.audio_dim, dtype=torch.float32, device=self.device) + + # TODO: hard coded 16 and 8 window size... + self.front = self.feat_buffer_size * self.context_size - 8 # fake padding + self.tail = 8 + # attention window... + self.att_feats = [torch.zeros(self.audio_dim, 16, dtype=torch.float32, device=self.device)] * 4 # 4 zero padding... + + # warm up steps needed: mid + right + window_size + attention_size + self.warm_up_steps = self.context_size + self.stride_right_size + 8 + 2 * 3 + + self.listening = False + self.playing = False + + def listen(self): + # start + if self.mode == 'live' and not self.listening: + print(f'[INFO] starting read frame thread...') + self.process_read_frame.start() + self.listening = True + + if self.play and not self.playing: + print(f'[INFO] starting play frame thread...') + self.process_play_frame.start() + self.playing = True + + def stop(self): + + self.exit_event.set() + + if self.play: + self.output_stream.stop_stream() + self.output_stream.close() + if self.playing: + self.process_play_frame.join() + self.playing = False + + if self.mode == 'live': + self.input_stream.stop_stream() + self.input_stream.close() + if self.listening: + self.process_read_frame.join() + self.listening = False + + + def __enter__(self): + return self + + def __exit__(self, exc_type, exc_value, traceback): + + self.stop() + + if self.mode == 'live': + # live mode: also print the result text. + self.text += '\n[END]' + print(self.text) + + def get_next_feat(self): + # return a [1/8, 16] window, for the next input to nerf side. + + while len(self.att_feats) < 8: + # [------f+++t-----] + if self.front < self.tail: + feat = self.feat_queue[self.front:self.tail] + # [++t-----------f+] + else: + feat = torch.cat([self.feat_queue[self.front:], self.feat_queue[:self.tail]], dim=0) + + self.front = (self.front + 2) % self.feat_queue.shape[0] + self.tail = (self.tail + 2) % self.feat_queue.shape[0] + + # print(self.front, self.tail, feat.shape) + + self.att_feats.append(feat.permute(1, 0)) + + att_feat = torch.stack(self.att_feats, dim=0) # [8, 44, 16] + + # discard old + self.att_feats = self.att_feats[1:] + + return att_feat + + def run_step(self): + + if self.terminated: + return + + # get a frame of audio + frame = self.get_audio_frame() + + # the last frame + if frame is None: + # terminate, but always run the network for the left frames + self.terminated = True + else: + self.frames.append(frame) + # put to output + if self.play: + self.output_queue.put(frame) + # context not enough, do not run network. + if len(self.frames) < self.stride_left_size + self.context_size + self.stride_right_size: + return + + inputs = np.concatenate(self.frames) # [N * chunk] + + # discard the old part to save memory + if not self.terminated: + self.frames = self.frames[-(self.stride_left_size + self.stride_right_size):] + + logits, labels, text = self.frame_to_text(inputs) + feats = logits # better lips-sync than labels + + # save feats + if self.opt.asr_save_feats: + self.all_feats.append(feats) + + # record the feats efficiently.. (no concat, constant memory) + start = self.feat_buffer_idx * self.context_size + end = start + feats.shape[0] + self.feat_queue[start:end] = feats + self.feat_buffer_idx = (self.feat_buffer_idx + 1) % self.feat_buffer_size + + # very naive, just concat the text output. + if text != '': + self.text = self.text + ' ' + text + + # will only run once at ternimation + if self.terminated: + self.text += '\n[END]' + print(self.text) + if self.opt.asr_save_feats: + print(f'[INFO] save all feats for training purpose... ') + feats = torch.cat(self.all_feats, dim=0) # [N, C] + # print('[INFO] before unfold', feats.shape) + window_size = 16 + padding = window_size // 2 + feats = feats.view(-1, self.audio_dim).permute(1, 0).contiguous() # [C, M] + feats = feats.view(1, self.audio_dim, -1, 1) # [1, C, M, 1] + unfold_feats = F.unfold(feats, kernel_size=(window_size, 1), padding=(padding, 0), stride=(2, 1)) # [1, C * window_size, M / 2 + 1] + unfold_feats = unfold_feats.view(self.audio_dim, window_size, -1).permute(2, 1, 0).contiguous() # [C, window_size, M / 2 + 1] --> [M / 2 + 1, window_size, C] + # print('[INFO] after unfold', unfold_feats.shape) + # save to a npy file + if 'esperanto' in self.opt.asr_model: + output_path = self.opt.asr_wav.replace('.wav', '_eo.npy') + else: + output_path = self.opt.asr_wav.replace('.wav', '.npy') + np.save(output_path, unfold_feats.cpu().numpy()) + print(f"[INFO] saved logits to {output_path}") + + def create_file_stream(self): + + stream, sample_rate = sf.read(self.opt.asr_wav) # [T*sample_rate,] float64 + stream = stream.astype(np.float32) + + if stream.ndim > 1: + print(f'[WARN] audio has {stream.shape[1]} channels, only use the first.') + stream = stream[:, 0] + + if sample_rate != self.sample_rate: + print(f'[WARN] audio sample rate is {sample_rate}, resampling into {self.sample_rate}.') + stream = resampy.resample(x=stream, sr_orig=sample_rate, sr_new=self.sample_rate) + + print(f'[INFO] loaded audio stream {self.opt.asr_wav}: {stream.shape}') + + return stream + + + def create_pyaudio_stream(self): + + import pyaudio + + print(f'[INFO] creating live audio stream ...') + + audio = pyaudio.PyAudio() + + # get devices + info = audio.get_host_api_info_by_index(0) + n_devices = info.get('deviceCount') + + for i in range(0, n_devices): + if (audio.get_device_info_by_host_api_device_index(0, i).get('maxInputChannels')) > 0: + name = audio.get_device_info_by_host_api_device_index(0, i).get('name') + print(f'[INFO] choose audio device {name}, id {i}') + break + + # get stream + stream = audio.open(input_device_index=i, + format=pyaudio.paInt16, + channels=1, + rate=self.sample_rate, + input=True, + frames_per_buffer=self.chunk) + + return audio, stream + + + def get_audio_frame(self): + + if self.mode == 'file': + + if self.idx < self.file_stream.shape[0]: + frame = self.file_stream[self.idx: self.idx + self.chunk] + self.idx = self.idx + self.chunk + return frame + else: + return None + + else: + + frame = self.queue.get() + # print(f'[INFO] get frame {frame.shape}') + + self.idx = self.idx + self.chunk + + return frame + + + def frame_to_text(self, frame): + # frame: [N * 320], N = (context_size + 2 * stride_size) + + inputs = self.processor(frame, sampling_rate=self.sample_rate, return_tensors="pt", padding=True) + + with torch.no_grad(): + result = self.model(inputs.input_values.to(self.device)) + logits = result.logits # [1, N - 1, 32] + + # cut off stride + left = max(0, self.stride_left_size) + right = min(logits.shape[1], logits.shape[1] - self.stride_right_size + 1) # +1 to make sure output is the same length as input. + + # do not cut right if terminated. + if self.terminated: + right = logits.shape[1] + + logits = logits[:, left:right] + + # print(frame.shape, inputs.input_values.shape, logits.shape) + + predicted_ids = torch.argmax(logits, dim=-1) + transcription = self.processor.batch_decode(predicted_ids)[0].lower() + + + # for esperanto + # labels = np.array(['ŭ', '»', 'c', 'ĵ', 'ñ', '”', '„', '“', 'ǔ', 'o', 'ĝ', 'm', 'k', 'd', 'a', 'ŝ', 'z', 'i', '«', '—', '‘', 'ĥ', 'f', 'y', 'h', 'j', '|', 'r', 'u', 'ĉ', 's', '–', 'fi', 'l', 'p', '’', 'g', 'v', 't', 'b', 'n', 'e', '[UNK]', '[PAD]']) + + # labels = np.array([' ', ' ', ' ', '-', '|', 'E', 'T', 'A', 'O', 'N', 'I', 'H', 'S', 'R', 'D', 'L', 'U', 'M', 'W', 'C', 'F', 'G', 'Y', 'P', 'B', 'V', 'K', "'", 'X', 'J', 'Q', 'Z']) + # print(''.join(labels[predicted_ids[0].detach().cpu().long().numpy()])) + # print(predicted_ids[0]) + # print(transcription) + + return logits[0], predicted_ids[0], transcription # [N,] + + + def run(self): + + self.listen() + + while not self.terminated: + self.run_step() + + def clear_queue(self): + # clear the queue, to reduce potential latency... + print(f'[INFO] clear queue') + if self.mode == 'live': + self.queue.queue.clear() + if self.play: + self.output_queue.queue.clear() + + def warm_up(self): + + self.listen() + + print(f'[INFO] warm up ASR live model, expected latency = {self.warm_up_steps / self.fps:.6f}s') + t = time.time() + for _ in range(self.warm_up_steps): + self.run_step() + if torch.cuda.is_available(): + torch.cuda.synchronize() + t = time.time() - t + print(f'[INFO] warm-up done, actual latency = {t:.6f}s') + + self.clear_queue() + + + + +if __name__ == '__main__': + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument('--wav', type=str, default='') + parser.add_argument('--play', action='store_true', help="play out the audio") + + parser.add_argument('--model', type=str, default='cpierse/wav2vec2-large-xlsr-53-esperanto') + # parser.add_argument('--model', type=str, default='facebook/wav2vec2-large-960h-lv60-self') + + parser.add_argument('--save_feats', action='store_true') + # audio FPS + parser.add_argument('--fps', type=int, default=50) + # sliding window left-middle-right length. + parser.add_argument('-l', type=int, default=10) + parser.add_argument('-m', type=int, default=50) + parser.add_argument('-r', type=int, default=10) + + opt = parser.parse_args() + + # fix + opt.asr_wav = opt.wav + opt.asr_play = opt.play + opt.asr_model = opt.model + opt.asr_save_feats = opt.save_feats + + if 'deepspeech' in opt.asr_model: + raise ValueError("DeepSpeech features should not use this code to extract...") + + with ASR(opt) as asr: + asr.run() \ No newline at end of file diff --git a/NeRF/nerf_triplane/gui.py b/NeRF/nerf_triplane/gui.py new file mode 100644 index 0000000000000000000000000000000000000000..7a6798da8339d723f08776ce507f2ee8168609f5 --- /dev/null +++ b/NeRF/nerf_triplane/gui.py @@ -0,0 +1,565 @@ +import math +import torch +import numpy as np +import dearpygui.dearpygui as dpg +from scipy.spatial.transform import Rotation as R + +from .utils import * + +from .asr import ASR + + +class OrbitCamera: + def __init__(self, W, H, r=2, fovy=60): + self.W = W + self.H = H + self.radius = r # camera distance from center + self.fovy = fovy # in degree + self.center = np.array([0, 0, 0], dtype=np.float32) # look at this point + self.rot = R.from_matrix([[0, -1, 0], [0, 0, -1], [1, 0, 0]]) # init camera matrix: [[1, 0, 0], [0, -1, 0], [0, 0, 1]] (to suit ngp convention) + self.up = np.array([1, 0, 0], dtype=np.float32) # need to be normalized! + + # pose + @property + def pose(self): + # first move camera to radius + res = np.eye(4, dtype=np.float32) + res[2, 3] -= self.radius + # rotate + rot = np.eye(4, dtype=np.float32) + rot[:3, :3] = self.rot.as_matrix() + res = rot @ res + # translate + res[:3, 3] -= self.center + return res + + def update_pose(self, pose): + # pose: [4, 4] numpy array + # assert self.center is 0 + self.radius = np.linalg.norm(pose[:3, 3]) + T = np.eye(4) + T[2, 3] = -self.radius + rot = pose @ np.linalg.inv(T) + self.rot = R.from_matrix(rot[:3, :3]) + + def update_intrinsics(self, intrinsics): + fl_x, fl_y, cx, cy = intrinsics + self.W = int(cx * 2) + self.H = int(cy * 2) + self.fovy = np.rad2deg(2 * np.arctan2(self.H, 2 * fl_y)) + + # intrinsics + @property + def intrinsics(self): + focal = self.H / (2 * np.tan(np.deg2rad(self.fovy) / 2)) + return np.array([focal, focal, self.W // 2, self.H // 2]) + + def orbit(self, dx, dy): + # rotate along camera up/side axis! + side = self.rot.as_matrix()[:3, 0] # why this is side --> ? # already normalized. + rotvec_x = self.up * np.radians(-0.01 * dx) + rotvec_y = side * np.radians(-0.01 * dy) + self.rot = R.from_rotvec(rotvec_x) * R.from_rotvec(rotvec_y) * self.rot + + def scale(self, delta): + self.radius *= 1.1 ** (-delta) + + def pan(self, dx, dy, dz=0): + # pan in camera coordinate system (careful on the sensitivity!) + self.center += 0.0001 * self.rot.as_matrix()[:3, :3] @ np.array([dx, dy, dz]) + + +class NeRFGUI: + def __init__(self, opt, trainer, data_loader, debug=True): + self.opt = opt # shared with the trainer's opt to support in-place modification of rendering parameters. + self.W = opt.W + self.H = opt.H + self.cam = OrbitCamera(opt.W, opt.H, r=opt.radius, fovy=opt.fovy) + self.debug = debug + self.training = False + self.step = 0 # training step + + self.trainer = trainer + self.data_loader = data_loader + + # override with dataloader's intrinsics + self.W = data_loader._data.W + self.H = data_loader._data.H + self.cam.update_intrinsics(data_loader._data.intrinsics) + + # use dataloader's pose + pose_init = data_loader._data.poses[0] + self.cam.update_pose(pose_init.detach().cpu().numpy()) + + # use dataloader's bg + bg_img = data_loader._data.bg_img #.view(1, -1, 3) + if self.H != bg_img.shape[0] or self.W != bg_img.shape[1]: + bg_img = F.interpolate(bg_img.permute(2, 0, 1).unsqueeze(0).contiguous(), (self.H, self.W), mode='bilinear').squeeze(0).permute(1, 2, 0).contiguous() + self.bg_color = bg_img.view(1, -1, 3) + + # audio features (from dataloader, only used in non-playing mode) + self.audio_features = data_loader._data.auds # [N, 29, 16] + self.audio_idx = 0 + + # control eye + self.eye_area = None if not self.opt.exp_eye else data_loader._data.eye_area.mean().item() + + # playing seq from dataloader, or pause. + self.playing = False + self.loader = iter(data_loader) + + self.render_buffer = np.zeros((self.W, self.H, 3), dtype=np.float32) + self.need_update = True # camera moved, should reset accumulation + self.spp = 1 # sample per pixel + self.mode = 'image' # choose from ['image', 'depth'] + + self.dynamic_resolution = False # assert False! + self.downscale = 1 + self.train_steps = 16 + + self.ind_index = 0 + self.ind_num = trainer.model.individual_codes.shape[0] + + # build asr + if self.opt.asr: + self.asr = ASR(opt) + + dpg.create_context() + self.register_dpg() + self.test_step() + + + def __enter__(self): + return self + + def __exit__(self, exc_type, exc_value, traceback): + if self.opt.asr: + self.asr.stop() + dpg.destroy_context() + + def train_step(self): + + starter, ender = torch.cuda.Event(enable_timing=True), torch.cuda.Event(enable_timing=True) + starter.record() + + outputs = self.trainer.train_gui(self.data_loader, step=self.train_steps) + + ender.record() + torch.cuda.synchronize() + t = starter.elapsed_time(ender) + + self.step += self.train_steps + self.need_update = True + + dpg.set_value("_log_train_time", f'{t:.4f}ms ({int(1000/t)} FPS)') + dpg.set_value("_log_train_log", f'step = {self.step: 5d} (+{self.train_steps: 2d}), loss = {outputs["loss"]:.4f}, lr = {outputs["lr"]:.5f}') + + # dynamic train steps + # max allowed train time per-frame is 500 ms + full_t = t / self.train_steps * 16 + train_steps = min(16, max(4, int(16 * 500 / full_t))) + if train_steps > self.train_steps * 1.2 or train_steps < self.train_steps * 0.8: + self.train_steps = train_steps + + def prepare_buffer(self, outputs): + if self.mode == 'image': + return outputs['image'] + else: + return np.expand_dims(outputs['depth'], -1).repeat(3, -1) + + def test_step(self): + + if self.need_update or self.spp < self.opt.max_spp: + + starter, ender = torch.cuda.Event(enable_timing=True), torch.cuda.Event(enable_timing=True) + starter.record() + + if self.playing: + try: + data = next(self.loader) + except StopIteration: + self.loader = iter(self.data_loader) + data = next(self.loader) + + if self.opt.asr: + # use the live audio stream + data['auds'] = self.asr.get_next_feat() + + outputs = self.trainer.test_gui_with_data(data, self.W, self.H) + + # sync local camera pose + self.cam.update_pose(data['poses_matrix'][0].detach().cpu().numpy()) + + else: + if self.audio_features is not None: + auds = get_audio_features(self.audio_features, self.opt.att, self.audio_idx) + else: + auds = None + outputs = self.trainer.test_gui(self.cam.pose, self.cam.intrinsics, self.W, self.H, auds, self.eye_area, self.ind_index, self.bg_color, self.spp, self.downscale) + + ender.record() + torch.cuda.synchronize() + t = starter.elapsed_time(ender) + + # update dynamic resolution + if self.dynamic_resolution: + # max allowed infer time per-frame is 200 ms + full_t = t / (self.downscale ** 2) + downscale = min(1, max(1/4, math.sqrt(200 / full_t))) + if downscale > self.downscale * 1.2 or downscale < self.downscale * 0.8: + self.downscale = downscale + + if self.need_update: + self.render_buffer = self.prepare_buffer(outputs) + self.spp = 1 + self.need_update = False + else: + self.render_buffer = (self.render_buffer * self.spp + self.prepare_buffer(outputs)) / (self.spp + 1) + self.spp += 1 + + if self.playing: + self.need_update = True + + dpg.set_value("_log_infer_time", f'{t:.4f}ms ({int(1000/t)} FPS)') + dpg.set_value("_log_resolution", f'{int(self.downscale * self.W)}x{int(self.downscale * self.H)}') + dpg.set_value("_log_spp", self.spp) + dpg.set_value("_texture", self.render_buffer) + + + def register_dpg(self): + + ### register texture + + with dpg.texture_registry(show=False): + dpg.add_raw_texture(self.W, self.H, self.render_buffer, format=dpg.mvFormat_Float_rgb, tag="_texture") + + ### register window + + # the rendered image, as the primary window + with dpg.window(tag="_primary_window", width=self.W, height=self.H): + + # add the texture + dpg.add_image("_texture") + + # dpg.set_primary_window("_primary_window", True) + + dpg.show_tool(dpg.mvTool_Metrics) + + # control window + with dpg.window(label="Control", tag="_control_window", width=400, height=300): + + # button theme + with dpg.theme() as theme_button: + with dpg.theme_component(dpg.mvButton): + dpg.add_theme_color(dpg.mvThemeCol_Button, (23, 3, 18)) + dpg.add_theme_color(dpg.mvThemeCol_ButtonHovered, (51, 3, 47)) + dpg.add_theme_color(dpg.mvThemeCol_ButtonActive, (83, 18, 83)) + dpg.add_theme_style(dpg.mvStyleVar_FrameRounding, 5) + dpg.add_theme_style(dpg.mvStyleVar_FramePadding, 3, 3) + + # time + if not self.opt.test: + with dpg.group(horizontal=True): + dpg.add_text("Train time: ") + dpg.add_text("no data", tag="_log_train_time") + + with dpg.group(horizontal=True): + dpg.add_text("Infer time: ") + dpg.add_text("no data", tag="_log_infer_time") + + with dpg.group(horizontal=True): + dpg.add_text("SPP: ") + dpg.add_text("1", tag="_log_spp") + + # train button + if not self.opt.test: + with dpg.collapsing_header(label="Train", default_open=True): + + # train / stop + with dpg.group(horizontal=True): + dpg.add_text("Train: ") + + def callback_train(sender, app_data): + if self.training: + self.training = False + dpg.configure_item("_button_train", label="start") + else: + self.training = True + dpg.configure_item("_button_train", label="stop") + + dpg.add_button(label="start", tag="_button_train", callback=callback_train) + dpg.bind_item_theme("_button_train", theme_button) + + def callback_reset(sender, app_data): + @torch.no_grad() + def weight_reset(m: nn.Module): + reset_parameters = getattr(m, "reset_parameters", None) + if callable(reset_parameters): + m.reset_parameters() + self.trainer.model.apply(fn=weight_reset) + self.trainer.model.reset_extra_state() # for cuda_ray density_grid and step_counter + self.need_update = True + + dpg.add_button(label="reset", tag="_button_reset", callback=callback_reset) + dpg.bind_item_theme("_button_reset", theme_button) + + # save ckpt + with dpg.group(horizontal=True): + dpg.add_text("Checkpoint: ") + + def callback_save(sender, app_data): + self.trainer.save_checkpoint(full=True, best=False) + dpg.set_value("_log_ckpt", "saved " + os.path.basename(self.trainer.stats["checkpoints"][-1])) + self.trainer.epoch += 1 # use epoch to indicate different calls. + + dpg.add_button(label="save", tag="_button_save", callback=callback_save) + dpg.bind_item_theme("_button_save", theme_button) + + dpg.add_text("", tag="_log_ckpt") + + # save mesh + with dpg.group(horizontal=True): + dpg.add_text("Marching Cubes: ") + + def callback_mesh(sender, app_data): + self.trainer.save_mesh(resolution=256, threshold=10) + dpg.set_value("_log_mesh", "saved " + f'{self.trainer.name}_{self.trainer.epoch}.ply') + self.trainer.epoch += 1 # use epoch to indicate different calls. + + dpg.add_button(label="mesh", tag="_button_mesh", callback=callback_mesh) + dpg.bind_item_theme("_button_mesh", theme_button) + + dpg.add_text("", tag="_log_mesh") + + with dpg.group(horizontal=True): + dpg.add_text("", tag="_log_train_log") + + + # rendering options + with dpg.collapsing_header(label="Options", default_open=True): + + # playing + with dpg.group(horizontal=True): + dpg.add_text("Play: ") + + def callback_play(sender, app_data): + + if self.playing: + self.playing = False + dpg.configure_item("_button_play", label="start") + else: + self.playing = True + dpg.configure_item("_button_play", label="stop") + if self.opt.asr: + self.asr.warm_up() + self.need_update = True + + dpg.add_button(label="start", tag="_button_play", callback=callback_play) + dpg.bind_item_theme("_button_play", theme_button) + + # set asr + if self.opt.asr: + + # clear queue button + def callback_clear_queue(sender, app_data): + + self.asr.clear_queue() + self.need_update = True + + dpg.add_button(label="clear", tag="_button_clear_queue", callback=callback_clear_queue) + dpg.bind_item_theme("_button_clear_queue", theme_button) + + # dynamic rendering resolution + with dpg.group(horizontal=True): + + def callback_set_dynamic_resolution(sender, app_data): + if self.dynamic_resolution: + self.dynamic_resolution = False + self.downscale = 1 + else: + self.dynamic_resolution = True + self.need_update = True + + # Disable dynamic resolution for face. + # dpg.add_checkbox(label="dynamic resolution", default_value=self.dynamic_resolution, callback=callback_set_dynamic_resolution) + dpg.add_text(f"{self.W}x{self.H}", tag="_log_resolution") + + # mode combo + def callback_change_mode(sender, app_data): + self.mode = app_data + self.need_update = True + + dpg.add_combo(('image', 'depth'), label='mode', default_value=self.mode, callback=callback_change_mode) + + + # bg_color picker + def callback_change_bg(sender, app_data): + self.bg_color = torch.tensor(app_data[:3], dtype=torch.float32) # only need RGB in [0, 1] + self.need_update = True + + dpg.add_color_edit((255, 255, 255), label="Background Color", width=200, tag="_color_editor", no_alpha=True, callback=callback_change_bg) + + # audio index slider + if not self.opt.asr: + def callback_set_audio_index(sender, app_data): + self.audio_idx = app_data + self.need_update = True + + dpg.add_slider_int(label="Audio", min_value=0, max_value=self.audio_features.shape[0] - 1, format="%d", default_value=self.audio_idx, callback=callback_set_audio_index) + + # ind code index slider + if self.opt.ind_dim > 0: + def callback_set_individual_code(sender, app_data): + self.ind_index = app_data + self.need_update = True + + dpg.add_slider_int(label="Individual", min_value=0, max_value=self.ind_num - 1, format="%d", default_value=self.ind_index, callback=callback_set_individual_code) + + # eye area slider + if self.opt.exp_eye: + def callback_set_eye(sender, app_data): + self.eye_area = app_data + self.need_update = True + + dpg.add_slider_float(label="eye area", min_value=0, max_value=0.5, format="%.2f percent", default_value=self.eye_area, callback=callback_set_eye) + + # fov slider + def callback_set_fovy(sender, app_data): + self.cam.fovy = app_data + self.need_update = True + + dpg.add_slider_int(label="FoV (vertical)", min_value=1, max_value=120, format="%d deg", default_value=self.cam.fovy, callback=callback_set_fovy) + + # dt_gamma slider + def callback_set_dt_gamma(sender, app_data): + self.opt.dt_gamma = app_data + self.need_update = True + + dpg.add_slider_float(label="dt_gamma", min_value=0, max_value=0.1, format="%.5f", default_value=self.opt.dt_gamma, callback=callback_set_dt_gamma) + + # max_steps slider + def callback_set_max_steps(sender, app_data): + self.opt.max_steps = app_data + self.need_update = True + + dpg.add_slider_int(label="max steps", min_value=1, max_value=1024, format="%d", default_value=self.opt.max_steps, callback=callback_set_max_steps) + + # aabb slider + def callback_set_aabb(sender, app_data, user_data): + # user_data is the dimension for aabb (xmin, ymin, zmin, xmax, ymax, zmax) + self.trainer.model.aabb_infer[user_data] = app_data + + # also change train aabb ? [better not...] + #self.trainer.model.aabb_train[user_data] = app_data + + self.need_update = True + + dpg.add_separator() + dpg.add_text("Axis-aligned bounding box:") + + with dpg.group(horizontal=True): + dpg.add_slider_float(label="x", width=150, min_value=-self.opt.bound, max_value=0, format="%.2f", default_value=-self.opt.bound, callback=callback_set_aabb, user_data=0) + dpg.add_slider_float(label="", width=150, min_value=0, max_value=self.opt.bound, format="%.2f", default_value=self.opt.bound, callback=callback_set_aabb, user_data=3) + + with dpg.group(horizontal=True): + dpg.add_slider_float(label="y", width=150, min_value=-self.opt.bound, max_value=0, format="%.2f", default_value=-self.opt.bound, callback=callback_set_aabb, user_data=1) + dpg.add_slider_float(label="", width=150, min_value=0, max_value=self.opt.bound, format="%.2f", default_value=self.opt.bound, callback=callback_set_aabb, user_data=4) + + with dpg.group(horizontal=True): + dpg.add_slider_float(label="z", width=150, min_value=-self.opt.bound, max_value=0, format="%.2f", default_value=-self.opt.bound, callback=callback_set_aabb, user_data=2) + dpg.add_slider_float(label="", width=150, min_value=0, max_value=self.opt.bound, format="%.2f", default_value=self.opt.bound, callback=callback_set_aabb, user_data=5) + + + # debug info + if self.debug: + with dpg.collapsing_header(label="Debug"): + # pose + dpg.add_separator() + dpg.add_text("Camera Pose:") + dpg.add_text(str(self.cam.pose), tag="_log_pose") + + + ### register camera handler + + def callback_camera_drag_rotate(sender, app_data): + + if not dpg.is_item_focused("_primary_window"): + return + + dx = app_data[1] + dy = app_data[2] + + self.cam.orbit(dx, dy) + self.need_update = True + + if self.debug: + dpg.set_value("_log_pose", str(self.cam.pose)) + + + def callback_camera_wheel_scale(sender, app_data): + + if not dpg.is_item_focused("_primary_window"): + return + + delta = app_data + + self.cam.scale(delta) + self.need_update = True + + if self.debug: + dpg.set_value("_log_pose", str(self.cam.pose)) + + + def callback_camera_drag_pan(sender, app_data): + + if not dpg.is_item_focused("_primary_window"): + return + + dx = app_data[1] + dy = app_data[2] + + self.cam.pan(dx, dy) + self.need_update = True + + if self.debug: + dpg.set_value("_log_pose", str(self.cam.pose)) + + + with dpg.handler_registry(): + dpg.add_mouse_drag_handler(button=dpg.mvMouseButton_Left, callback=callback_camera_drag_rotate) + dpg.add_mouse_wheel_handler(callback=callback_camera_wheel_scale) + dpg.add_mouse_drag_handler(button=dpg.mvMouseButton_Middle, callback=callback_camera_drag_pan) + + + dpg.create_viewport(title='RAD-NeRF', width=1080, height=720, resizable=True) + + ### global theme + with dpg.theme() as theme_no_padding: + with dpg.theme_component(dpg.mvAll): + # set all padding to 0 to avoid scroll bar + dpg.add_theme_style(dpg.mvStyleVar_WindowPadding, 0, 0, category=dpg.mvThemeCat_Core) + dpg.add_theme_style(dpg.mvStyleVar_FramePadding, 0, 0, category=dpg.mvThemeCat_Core) + dpg.add_theme_style(dpg.mvStyleVar_CellPadding, 0, 0, category=dpg.mvThemeCat_Core) + + dpg.bind_item_theme("_primary_window", theme_no_padding) + + dpg.setup_dearpygui() + + #dpg.show_metrics() + + dpg.show_viewport() + + + def render(self): + + while dpg.is_dearpygui_running(): + # update texture every frame + if self.training: + self.train_step() + # audio stream thread... + if self.opt.asr and self.playing: + # run 2 ASR steps (audio is at 50FPS, video is at 25FPS) + for _ in range(2): + self.asr.run_step() + self.test_step() + dpg.render_dearpygui_frame() \ No newline at end of file diff --git a/NeRF/nerf_triplane/network.py b/NeRF/nerf_triplane/network.py new file mode 100644 index 0000000000000000000000000000000000000000..f297d9892b083d48839cae6bf98aa7a66ca92073 --- /dev/null +++ b/NeRF/nerf_triplane/network.py @@ -0,0 +1,430 @@ +import torch +import torch.nn as nn +import torch.nn.functional as F + +from encoding import get_encoder +from .renderer import NeRFRenderer + +class Conv2d(nn.Module): + def __init__(self, cin, cout, kernel_size, stride, padding, residual=False, leakyReLU=False, *args, **kwargs): + super().__init__(*args, **kwargs) + self.conv_block = nn.Sequential( + nn.Conv2d(cin, cout, kernel_size, stride, padding), + nn.BatchNorm2d(cout) + ) + if leakyReLU: + self.act = nn.LeakyReLU(0.02) + else: + self.act = nn.ReLU() + self.residual = residual + + def forward(self, x): + out = self.conv_block(x) + if self.residual: + out += x + return self.act(out) + +class AudioEncoder(nn.Module): + def __init__(self): + super(AudioEncoder, self).__init__() + + self.audio_encoder = nn.Sequential( + Conv2d(1, 32, kernel_size=3, stride=1, padding=1), + Conv2d(32, 32, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(32, 32, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(32, 64, kernel_size=3, stride=(3, 1), padding=1), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(64, 128, kernel_size=3, stride=3, padding=1), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(128, 256, kernel_size=3, stride=(3, 2), padding=1), + Conv2d(256, 256, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(256, 512, kernel_size=3, stride=1, padding=0), + Conv2d(512, 512, kernel_size=1, stride=1, padding=0), ) + + def forward(self, x): + out = self.audio_encoder(x) + out = out.squeeze(2).squeeze(2) + + return out + + +# Audio feature extractor +class AudioAttNet(nn.Module): + def __init__(self, dim_aud=64, seq_len=8): + super(AudioAttNet, self).__init__() + self.seq_len = seq_len + self.dim_aud = dim_aud + self.attentionConvNet = nn.Sequential( # b x subspace_dim x seq_len + nn.Conv1d(self.dim_aud, 16, kernel_size=3, stride=1, padding=1, bias=True), + nn.LeakyReLU(0.02, True), + nn.Conv1d(16, 8, kernel_size=3, stride=1, padding=1, bias=True), + nn.LeakyReLU(0.02, True), + nn.Conv1d(8, 4, kernel_size=3, stride=1, padding=1, bias=True), + nn.LeakyReLU(0.02, True), + nn.Conv1d(4, 2, kernel_size=3, stride=1, padding=1, bias=True), + nn.LeakyReLU(0.02, True), + nn.Conv1d(2, 1, kernel_size=3, stride=1, padding=1, bias=True), + nn.LeakyReLU(0.02, True) + ) + self.attentionNet = nn.Sequential( + nn.Linear(in_features=self.seq_len, out_features=self.seq_len, bias=True), + nn.Softmax(dim=1) + ) + + def forward(self, x): + # x: [1, seq_len, dim_aud] + y = x.permute(0, 2, 1) # [1, dim_aud, seq_len] + y = self.attentionConvNet(y) + y = self.attentionNet(y.view(1, self.seq_len)).view(1, self.seq_len, 1) + return torch.sum(y * x, dim=1) # [1, dim_aud] + + +# Audio feature extractor +class AudioNet(nn.Module): + def __init__(self, dim_in=29, dim_aud=64, win_size=16): + super(AudioNet, self).__init__() + self.win_size = win_size + self.dim_aud = dim_aud + self.encoder_conv = nn.Sequential( # n x 29 x 16 + nn.Conv1d(dim_in, 32, kernel_size=3, stride=2, padding=1, bias=True), # n x 32 x 8 + nn.LeakyReLU(0.02, True), + nn.Conv1d(32, 32, kernel_size=3, stride=2, padding=1, bias=True), # n x 32 x 4 + nn.LeakyReLU(0.02, True), + nn.Conv1d(32, 64, kernel_size=3, stride=2, padding=1, bias=True), # n x 64 x 2 + nn.LeakyReLU(0.02, True), + nn.Conv1d(64, 64, kernel_size=3, stride=2, padding=1, bias=True), # n x 64 x 1 + nn.LeakyReLU(0.02, True), + ) + self.encoder_fc1 = nn.Sequential( + nn.Linear(64, 64), + nn.LeakyReLU(0.02, True), + nn.Linear(64, dim_aud), + ) + + def forward(self, x): + half_w = int(self.win_size/2) + x = x[:, :, 8-half_w:8+half_w] + x = self.encoder_conv(x).squeeze(-1) + x = self.encoder_fc1(x) + return x + + +class MLP(nn.Module): + def __init__(self, dim_in, dim_out, dim_hidden, num_layers): + super().__init__() + self.dim_in = dim_in + self.dim_out = dim_out + self.dim_hidden = dim_hidden + self.num_layers = num_layers + + net = [] + for l in range(num_layers): + net.append(nn.Linear(self.dim_in if l == 0 else self.dim_hidden, self.dim_out if l == num_layers - 1 else self.dim_hidden, bias=False)) + + self.net = nn.ModuleList(net) + + def forward(self, x): + for l in range(self.num_layers): + x = self.net[l](x) + if l != self.num_layers - 1: + x = F.relu(x, inplace=True) + # x = F.dropout(x, p=0.1, training=self.training) + + return x + + +# Audio feature extractor +class AudioNet_ave(nn.Module): + def __init__(self, dim_in=29, dim_aud=64, win_size=16): + super(AudioNet_ave, self).__init__() + self.win_size = win_size + self.dim_aud = dim_aud + self.encoder_fc1 = nn.Sequential( + nn.Linear(512, 256), + nn.LeakyReLU(0.02, True), + nn.Linear(256, 128), + nn.LeakyReLU(0.02, True), + nn.Linear(128, dim_aud), + ) + def forward(self, x): + # half_w = int(self.win_size/2) + # x = x[:, :, 8-half_w:8+half_w] + # x = self.encoder_conv(x).squeeze(-1) + x = self.encoder_fc1(x).permute(1,0,2).squeeze(0) + return x + +class NeRFNetwork(NeRFRenderer): + def __init__(self, + opt, + audio_dim = 32, + # torso net (hard coded for now) + ): + super().__init__(opt) + + # audio embedding + self.emb = self.opt.emb + + if 'esperanto' in self.opt.asr_model: + self.audio_in_dim = 44 + elif 'deepspeech' in self.opt.asr_model: + self.audio_in_dim = 29 + elif 'hubert' in self.opt.asr_model: + self.audio_in_dim = 1024 + else: + self.audio_in_dim = 32 + + if self.emb: + self.embedding = nn.Embedding(self.audio_in_dim, self.audio_in_dim) + + # audio network + self.audio_dim = audio_dim + # self.audio_net = AudioNet(self.audio_in_dim, self.audio_dim) + + # audio network + self.audio_dim = audio_dim + if self.opt.asr_model == 'ave': + self.audio_net = AudioNet_ave(self.audio_in_dim, self.audio_dim) + else: + self.audio_net = AudioNet(self.audio_in_dim, self.audio_dim) + + self.att = self.opt.att + if self.att > 0: + self.audio_att_net = AudioAttNet(self.audio_dim) + + # DYNAMIC PART + self.num_levels = 12 + self.level_dim = 1 + self.encoder_xy, self.in_dim_xy = get_encoder('hashgrid', input_dim=2, num_levels=self.num_levels, level_dim=self.level_dim, base_resolution=64, log2_hashmap_size=14, desired_resolution=512 * self.bound) + self.encoder_yz, self.in_dim_yz = get_encoder('hashgrid', input_dim=2, num_levels=self.num_levels, level_dim=self.level_dim, base_resolution=64, log2_hashmap_size=14, desired_resolution=512 * self.bound) + self.encoder_xz, self.in_dim_xz = get_encoder('hashgrid', input_dim=2, num_levels=self.num_levels, level_dim=self.level_dim, base_resolution=64, log2_hashmap_size=14, desired_resolution=512 * self.bound) + + self.in_dim = self.in_dim_xy + self.in_dim_yz + self.in_dim_xz + + ## sigma network + self.num_layers = 3 + self.hidden_dim = 64 + self.geo_feat_dim = 64 + self.eye_att_net = MLP(self.in_dim, 1, 16, 2) + self.eye_dim = 1 if self.exp_eye else 0 + self.sigma_net = MLP(self.in_dim + self.audio_dim + self.eye_dim, 1 + self.geo_feat_dim, self.hidden_dim, self.num_layers) + ## color network + self.num_layers_color = 2 + self.hidden_dim_color = 64 + self.encoder_dir, self.in_dim_dir = get_encoder('spherical_harmonics') + self.color_net = MLP(self.in_dim_dir + self.geo_feat_dim + self.individual_dim, 3, self.hidden_dim_color, self.num_layers_color) + + self.unc_net = MLP(self.in_dim, 1, 32, 2) + + self.aud_ch_att_net = MLP(self.in_dim, self.audio_dim, 64, 2) + + self.testing = False + + if self.torso: + # torso deform network + self.register_parameter('anchor_points', + nn.Parameter(torch.tensor([[0.01, 0.01, 0.1, 1], [-0.1, -0.1, 0.1, 1], [0.1, -0.1, 0.1, 1]]))) + self.torso_deform_encoder, self.torso_deform_in_dim = get_encoder('frequency', input_dim=2, multires=8) + # self.torso_deform_encoder, self.torso_deform_in_dim = get_encoder('tiledgrid', input_dim=2, num_levels=16, level_dim=1, base_resolution=16, log2_hashmap_size=16, desired_resolution=512) + self.anchor_encoder, self.anchor_in_dim = get_encoder('frequency', input_dim=6, multires=3) + self.torso_deform_net = MLP(self.torso_deform_in_dim + self.anchor_in_dim + self.individual_dim_torso, 2, 32, 3) + + # torso color network + self.torso_encoder, self.torso_in_dim = get_encoder('tiledgrid', input_dim=2, num_levels=16, level_dim=2, base_resolution=16, log2_hashmap_size=16, desired_resolution=2048) + self.torso_net = MLP(self.torso_in_dim + self.torso_deform_in_dim + self.anchor_in_dim + self.individual_dim_torso, 4, 32, 3) + + + def forward_torso(self, x, poses, c=None): + # x: [N, 2] in [-1, 1] + # head poses: [1, 4, 4] + # c: [1, ind_dim], individual code + + # test: shrink x + x = x * self.opt.torso_shrink + + # deformation-based + wrapped_anchor = self.anchor_points[None, ...] @ poses.permute(0, 2, 1).inverse() + wrapped_anchor = (wrapped_anchor[:, :, :2] / wrapped_anchor[:, :, 3, None] / wrapped_anchor[:, :, 2, None]).view(1, -1) + # print(wrapped_anchor) + # enc_pose = self.pose_encoder(poses) + enc_anchor = self.anchor_encoder(wrapped_anchor) + enc_x = self.torso_deform_encoder(x) + + if c is not None: + h = torch.cat([enc_x, enc_anchor.repeat(x.shape[0], 1), c.repeat(x.shape[0], 1)], dim=-1) + else: + h = torch.cat([enc_x, enc_anchor.repeat(x.shape[0], 1)], dim=-1) + + dx = self.torso_deform_net(h) + + x = (x + dx).clamp(-1, 1) + + x = self.torso_encoder(x, bound=1) + + # h = torch.cat([x, h, enc_a.repeat(x.shape[0], 1)], dim=-1) + h = torch.cat([x, h], dim=-1) + + h = self.torso_net(h) + + alpha = torch.sigmoid(h[..., :1])*(1 + 2*0.001) - 0.001 + color = torch.sigmoid(h[..., 1:])*(1 + 2*0.001) - 0.001 + + return alpha, color, dx + + + @staticmethod + @torch.jit.script + def split_xyz(x): + xy, yz, xz = x[:, :-1], x[:, 1:], torch.cat([x[:,:1], x[:,-1:]], dim=-1) + return xy, yz, xz + + + def encode_x(self, xyz, bound): + # x: [N, 3], in [-bound, bound] + N, M = xyz.shape + xy, yz, xz = self.split_xyz(xyz) + feat_xy = self.encoder_xy(xy, bound=bound) + feat_yz = self.encoder_yz(yz, bound=bound) + feat_xz = self.encoder_xz(xz, bound=bound) + + return torch.cat([feat_xy, feat_yz, feat_xz], dim=-1) + + + def encode_audio(self, a): + # a: [1, 29, 16] or [8, 29, 16], audio features from deepspeech + # if emb, a should be: [1, 16] or [8, 16] + + # fix audio traininig + if a is None: return None + + if self.emb: + a = self.embedding(a).transpose(-1, -2).contiguous() # [1/8, 29, 16] + + enc_a = self.audio_net(a) # [1/8, 64] + + if self.att > 0: + enc_a = self.audio_att_net(enc_a.unsqueeze(0)) # [1, 64] + + return enc_a + + + def predict_uncertainty(self, unc_inp): + if self.testing or not self.opt.unc_loss: + unc = torch.zeros_like(unc_inp) + else: + unc = self.unc_net(unc_inp.detach()) + + return unc + + + def forward(self, x, d, enc_a, c, e=None): + # x: [N, 3], in [-bound, bound] + # d: [N, 3], nomalized in [-1, 1] + # enc_a: [1, aud_dim] + # c: [1, ind_dim], individual code + # e: [1, 1], eye feature + enc_x = self.encode_x(x, bound=self.bound) + + sigma_result = self.density(x, enc_a, e, enc_x) + sigma = sigma_result['sigma'] + geo_feat = sigma_result['geo_feat'] + aud_ch_att = sigma_result['ambient_aud'] + eye_att = sigma_result['ambient_eye'] + + # color + enc_d = self.encoder_dir(d) + + if c is not None: + h = torch.cat([enc_d, geo_feat, c.repeat(x.shape[0], 1)], dim=-1) + else: + h = torch.cat([enc_d, geo_feat], dim=-1) + + h_color = self.color_net(h) + color = torch.sigmoid(h_color)*(1 + 2*0.001) - 0.001 + + uncertainty = self.predict_uncertainty(enc_x) + uncertainty = torch.log(1 + torch.exp(uncertainty)) + + return sigma, color, aud_ch_att, eye_att, uncertainty[..., None] + + + def density(self, x, enc_a, e=None, enc_x=None): + # x: [N, 3], in [-bound, bound] + if enc_x is None: + enc_x = self.encode_x(x, bound=self.bound) + + enc_a = enc_a.repeat(enc_x.shape[0], 1) + aud_ch_att = self.aud_ch_att_net(enc_x) + enc_w = enc_a * aud_ch_att + + if e is not None: + # e = self.encoder_eye(e) + eye_att = torch.sigmoid(self.eye_att_net(enc_x)) + e = e * eye_att + # e = e.repeat(enc_x.shape[0], 1) + h = torch.cat([enc_x, enc_w, e], dim=-1) + else: + h = torch.cat([enc_x, enc_w], dim=-1) + + h = self.sigma_net(h) + + sigma = torch.exp(h[..., 0]) + geo_feat = h[..., 1:] + + return { + 'sigma': sigma, + 'geo_feat': geo_feat, + 'ambient_aud' : aud_ch_att.norm(dim=-1, keepdim=True), + 'ambient_eye' : eye_att, + } + + + # optimizer utils + def get_params(self, lr, lr_net, wd=0): + + # ONLY train torso + if self.torso: + params = [ + {'params': self.torso_encoder.parameters(), 'lr': lr}, + {'params': self.torso_deform_encoder.parameters(), 'lr': lr, 'weight_decay': wd}, + {'params': self.torso_net.parameters(), 'lr': lr_net, 'weight_decay': wd}, + {'params': self.torso_deform_net.parameters(), 'lr': lr_net, 'weight_decay': wd}, + {'params': self.anchor_points, 'lr': lr_net, 'weight_decay': wd} + ] + + if self.individual_dim_torso > 0: + params.append({'params': self.individual_codes_torso, 'lr': lr_net, 'weight_decay': wd}) + + return params + + params = [ + {'params': self.audio_net.parameters(), 'lr': lr_net, 'weight_decay': wd}, + + {'params': self.encoder_xy.parameters(), 'lr': lr}, + {'params': self.encoder_yz.parameters(), 'lr': lr}, + {'params': self.encoder_xz.parameters(), 'lr': lr}, + # {'params': self.encoder_xyz.parameters(), 'lr': lr}, + + {'params': self.sigma_net.parameters(), 'lr': lr_net, 'weight_decay': wd}, + {'params': self.color_net.parameters(), 'lr': lr_net, 'weight_decay': wd}, + ] + if self.att > 0: + params.append({'params': self.audio_att_net.parameters(), 'lr': lr_net * 5, 'weight_decay': 0.0001}) + if self.emb: + params.append({'params': self.embedding.parameters(), 'lr': lr}) + if self.individual_dim > 0: + params.append({'params': self.individual_codes, 'lr': lr_net, 'weight_decay': wd}) + if self.train_camera: + params.append({'params': self.camera_dT, 'lr': 1e-5, 'weight_decay': 0}) + params.append({'params': self.camera_dR, 'lr': 1e-5, 'weight_decay': 0}) + + params.append({'params': self.aud_ch_att_net.parameters(), 'lr': lr_net, 'weight_decay': wd}) + params.append({'params': self.unc_net.parameters(), 'lr': lr_net, 'weight_decay': wd}) + params.append({'params': self.eye_att_net.parameters(), 'lr': lr_net, 'weight_decay': wd}) + + return params \ No newline at end of file diff --git a/NeRF/nerf_triplane/provider.py b/NeRF/nerf_triplane/provider.py new file mode 100644 index 0000000000000000000000000000000000000000..4e5edb74ead6dd38cd019d09d487215a692ac1ae --- /dev/null +++ b/NeRF/nerf_triplane/provider.py @@ -0,0 +1,843 @@ +import os +import cv2 +import glob +import json +import tqdm +import numpy as np +from scipy.spatial.transform import Slerp, Rotation +import matplotlib.pyplot as plt + +import trimesh + +import torch +import torch.nn.functional as F +from torch.utils.data import DataLoader + +from .utils import get_audio_features, get_rays, get_bg_coords, convert_poses, AudDataset + +# ref: https://github.com/NVlabs/instant-ngp/blob/b76004c8cf478880227401ae763be4c02f80b62f/include/neural-graphics-primitives/nerf_loader.h#L50 +def nerf_matrix_to_ngp(pose, scale=0.33, offset=[0, 0, 0]): + new_pose = np.array([ + [pose[1, 0], -pose[1, 1], -pose[1, 2], pose[1, 3] * scale + offset[0]], + [pose[2, 0], -pose[2, 1], -pose[2, 2], pose[2, 3] * scale + offset[1]], + [pose[0, 0], -pose[0, 1], -pose[0, 2], pose[0, 3] * scale + offset[2]], + [0, 0, 0, 1], + ], dtype=np.float32) + return new_pose + + +def smooth_camera_path(poses, kernel_size=5): + # smooth the camera trajectory... + # poses: [N, 4, 4], numpy array + + N = poses.shape[0] + K = kernel_size // 2 + + trans = poses[:, :3, 3].copy() # [N, 3] + rots = poses[:, :3, :3].copy() # [N, 3, 3] + + for i in range(N): + start = max(0, i - K) + end = min(N, i + K + 1) + poses[i, :3, 3] = trans[start:end].mean(0) + poses[i, :3, :3] = Rotation.from_matrix(rots[start:end]).mean().as_matrix() + + return poses + +def polygon_area(x, y): + x_ = x - x.mean() + y_ = y - y.mean() + correction = x_[-1] * y_[0] - y_[-1]* x_[0] + main_area = np.dot(x_[:-1], y_[1:]) - np.dot(y_[:-1], x_[1:]) + return 0.5 * np.abs(main_area + correction) + + +def visualize_poses(poses, size=0.1): + # poses: [B, 4, 4] + + print(f'[INFO] visualize poses: {poses.shape}') + + axes = trimesh.creation.axis(axis_length=4) + box = trimesh.primitives.Box(extents=(2, 2, 2)).as_outline() + box.colors = np.array([[128, 128, 128]] * len(box.entities)) + objects = [axes, box] + + for pose in poses: + # a camera is visualized with 8 line segments. + pos = pose[:3, 3] + a = pos + size * pose[:3, 0] + size * pose[:3, 1] + size * pose[:3, 2] + b = pos - size * pose[:3, 0] + size * pose[:3, 1] + size * pose[:3, 2] + c = pos - size * pose[:3, 0] - size * pose[:3, 1] + size * pose[:3, 2] + d = pos + size * pose[:3, 0] - size * pose[:3, 1] + size * pose[:3, 2] + + dir = (a + b + c + d) / 4 - pos + dir = dir / (np.linalg.norm(dir) + 1e-8) + o = pos + dir * 3 + + segs = np.array([[pos, a], [pos, b], [pos, c], [pos, d], [a, b], [b, c], [c, d], [d, a], [pos, o]]) + segs = trimesh.load_path(segs) + objects.append(segs) + + trimesh.Scene(objects).show() + +from .wav2vec import * +class NeRFDataset_Test: + def __init__(self, opt, device, downscale=1): + super().__init__() + + self.opt = opt + self.device = device + self.downscale = downscale + self.scale = opt.scale # camera radius scale to make sure camera are inside the bounding box. + self.offset = opt.offset # camera offset + self.bound = opt.bound # bounding box half length, also used as the radius to random sample poses. + self.fp16 = opt.fp16 + + self.start_index = opt.data_range[0] + self.end_index = opt.data_range[1] + + self.training = False + self.num_rays = -1 + + # load nerf-compatible format data. + + with open(opt.pose, 'r') as f: + transform = json.load(f) + + # load image size + self.H = int(transform['cy']) * 2 // downscale + self.W = int(transform['cx']) * 2 // downscale + + # read images + frames = transform["frames"] + + # use a slice of the dataset + if self.end_index == -1: # abuse... + self.end_index = len(frames) + + frames = frames[self.start_index:self.end_index] + + print(f'[INFO] load {len(frames)} frames.') + + # only load pre-calculated aud features when not live-streaming + if not self.opt.asr: + if self.opt.aud.endswith('npy'): + aud_features = np.load(self.opt.aud) + elif self.opt.aud.endswith('wav'): + if self.opt.asr_model == 'cpierse/wav2vec2-large-xlsr-53-esperanto': + + import argparse + parser = argparse.ArgumentParser() + parser.add_argument('--wav', type=str, default='') + parser.add_argument('--play', action='store_true', help="play out the audio") + + parser.add_argument('--model', type=str, default='cpierse/wav2vec2-large-xlsr-53-esperanto') + # parser.add_argument('--model', type=str, default='facebook/wav2vec2-large-960h-lv60-self') + + parser.add_argument('--save_feats', action='store_true') + # audio FPS + parser.add_argument('--fps', type=int, default=50) + # sliding window left-middle-right length. + parser.add_argument('-l', type=int, default=10) + parser.add_argument('-m', type=int, default=50) + parser.add_argument('-r', type=int, default=10) + + opt = parser.parse_args() + # fix + opt.asr_wav = self.opt.aud + opt.asr_play = opt.play + opt.asr_save_feats = True + opt.asr_model = opt.model + # 利用预训练的Wav2vec来跑一下 + with ASR(opt) as asr: + asr.run() + # os.system(f"ls") + # os.system(f"python NeRF/nerf_triplane/wav2vec.py --wav {self.opt.aud} --save_feats") + aud_features = np.load(opt.aud.replace('.wav', '_eo.npy')) + elif self.opt.asr_model == 'deepspeech': + os.system(f"python NeRF/data_utils/deepspeech_features/extract_ds_features.py --input {self.opt.aud}") + aud_features = np.load(opt.aud.replace('.wav', '.npy')) + elif self.opt.asr_model == 'ave': + from .network import AudioEncoder + device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') + model = AudioEncoder().to(device).eval() + ckpt = torch.load('./checkpoints/audio_visual_encoder.pth') + model.load_state_dict({f'audio_encoder.{k}': v for k, v in ckpt.items()}) + dataset = AudDataset(self.opt.aud) + data_loader = DataLoader(dataset, batch_size=64, shuffle=False) + outputs = [] + for mel in data_loader: + mel = mel.to(device) + with torch.no_grad(): + out = model(mel) + outputs.append(out) + outputs = torch.cat(outputs, dim=0).cpu() + first_frame, last_frame = outputs[:1], outputs[-1:] + aud_features = torch.cat([first_frame.repeat(2, 1), outputs, last_frame.repeat(2, 1)], dim=0).numpy() + else: + try: + aud_features = np.load(self.opt.aud) + except: + print(f'[ERROR] If do not use Audio Visual Encoder, replace it with the npy file path') + else: + raise NotImplementedError + + if self.opt.asr_model == 'ave': + aud_features = torch.from_numpy(aud_features).unsqueeze(0) + + # support both [N, 16] labels and [N, 16, K] logits + if len(aud_features.shape) == 3: + aud_features = aud_features.float().permute(1, 0, 2) # [N, 16, 29] --> [N, 29, 16] + + if self.opt.emb: + print(f'[INFO] argmax to aud features {aud_features.shape} for --emb mode') + aud_features = aud_features.argmax(1) # [N, 16] + + else: + assert self.opt.emb, "aud only provide labels, must use --emb" + aud_features = aud_features.long() + + print(f'[INFO] load {self.opt.aud} aud_features: {aud_features.shape}') + else: + aud_features = torch.from_numpy(aud_features) + + # support both [N, 16] labels and [N, 16, K] logits + if len(aud_features.shape) == 3: + aud_features = aud_features.float().permute(0, 2, 1) # [N, 16, 29] --> [N, 29, 16] + + if self.opt.emb: + print(f'[INFO] argmax to aud features {aud_features.shape} for --emb mode') + aud_features = aud_features.argmax(1) # [N, 16] + + else: + assert self.opt.emb, "aud only provide labels, must use --emb" + aud_features = aud_features.long() + + print(f'[INFO] load {self.opt.aud} aud_features: {aud_features.shape}') + + self.poses = [] + self.auds = [] + self.eye_area = [] + + for f in tqdm.tqdm(frames, desc=f'Loading data'): + + pose = np.array(f['transform_matrix'], dtype=np.float32) # [4, 4] + pose = nerf_matrix_to_ngp(pose, scale=self.scale, offset=self.offset) + self.poses.append(pose) + + # find the corresponding audio to the image frame + if not self.opt.asr and self.opt.aud == '': + aud = aud_features[min(f['aud_id'], aud_features.shape[0] - 1)] # careful for the last frame... + self.auds.append(aud) + + if self.opt.exp_eye: + + if 'eye_ratio' in f: + area = f['eye_ratio'] + else: + area = 0.25 # default value for opened eye + + self.eye_area.append(area) + + # load pre-extracted background image (should be the same size as training image...) + + if self.opt.bg_img == 'white': # special + bg_img = np.ones((self.H, self.W, 3), dtype=np.float32) + elif self.opt.bg_img == 'black': # special + bg_img = np.zeros((self.H, self.W, 3), dtype=np.float32) + else: # load from file + bg_img = cv2.imread(self.opt.bg_img, cv2.IMREAD_UNCHANGED) # [H, W, 3] + if bg_img.shape[0] != self.H or bg_img.shape[1] != self.W: + bg_img = cv2.resize(bg_img, (self.W, self.H), interpolation=cv2.INTER_AREA) + bg_img = cv2.cvtColor(bg_img, cv2.COLOR_BGR2RGB) + bg_img = bg_img.astype(np.float32) / 255 # [H, W, 3/4] + + self.bg_img = bg_img + + self.poses = np.stack(self.poses, axis=0) + + # smooth camera path... + if self.opt.smooth_path: + self.poses = smooth_camera_path(self.poses, self.opt.smooth_path_window) + + self.poses = torch.from_numpy(self.poses) # [N, 4, 4] + + if self.opt.asr: + # live streaming, no pre-calculated auds + self.auds = None + else: + # auds corresponding to images + if self.opt.aud == '': + self.auds = torch.stack(self.auds, dim=0) # [N, 32, 16] + # auds is novel, may have a different length with images + else: + self.auds = aud_features + + self.bg_img = torch.from_numpy(self.bg_img) + + if self.opt.exp_eye: + self.eye_area = np.array(self.eye_area, dtype=np.float32) # [N] + print(f'[INFO] eye_area: {self.eye_area.min()} - {self.eye_area.max()}') + + if self.opt.smooth_eye: + + # naive 5 window average + ori_eye = self.eye_area.copy() + for i in range(ori_eye.shape[0]): + start = max(0, i - 1) + end = min(ori_eye.shape[0], i + 2) + self.eye_area[i] = ori_eye[start:end].mean() + + self.eye_area = torch.from_numpy(self.eye_area).view(-1, 1) # [N, 1] + + # always preload + self.poses = self.poses.to(self.device) + + if self.auds is not None: + self.auds = self.auds.to(self.device) + + self.bg_img = self.bg_img.to(torch.half).to(self.device) + + if self.opt.exp_eye: + self.eye_area = self.eye_area.to(self.device) + + # load intrinsics + + fl_x = fl_y = transform['focal_len'] + + cx = (transform['cx'] / downscale) + cy = (transform['cy'] / downscale) + + self.intrinsics = np.array([fl_x, fl_y, cx, cy]) + + # directly build the coordinate meshgrid in [-1, 1]^2 + self.bg_coords = get_bg_coords(self.H, self.W, self.device) # [1, H*W, 2] in [-1, 1] + + def mirror_index(self, index): + size = self.poses.shape[0] + turn = index // size + res = index % size + if turn % 2 == 0: + return res + else: + return size - res - 1 + + def collate(self, index): + + B = len(index) # a list of length 1 + # assert B == 1 + + results = {} + + # audio use the original index + if self.auds is not None: + auds = get_audio_features(self.auds, self.opt.att, index[0]).to(self.device) + results['auds'] = auds + + # head pose and bg image may mirror (replay --> <-- --> <--). + index[0] = self.mirror_index(index[0]) + + poses = self.poses[index].to(self.device) # [B, 4, 4] + + rays = get_rays(poses, self.intrinsics, self.H, self.W, self.num_rays, self.opt.patch_size) + + results['index'] = index # for ind. code + results['H'] = self.H + results['W'] = self.W + results['rays_o'] = rays['rays_o'] + results['rays_d'] = rays['rays_d'] + + if self.opt.exp_eye: + results['eye'] = self.eye_area[index].to(self.device) # [1] + else: + results['eye'] = None + + bg_img = self.bg_img.view(1, -1, 3).repeat(B, 1, 1).to(self.device) + + results['bg_color'] = bg_img + + bg_coords = self.bg_coords # [1, N, 2] + results['bg_coords'] = bg_coords + + # results['poses'] = convert_poses(poses) # [B, 6] + # results['poses_matrix'] = poses # [B, 4, 4] + results['poses'] = poses # [B, 4, 4] + + return results + + def dataloader(self): + + + # test with novel auds, then use its length + if self.auds is not None: + size = self.auds.shape[0] + # live stream test, use 2 * len(poses), so it naturally mirrors. + else: + size = 2 * self.poses.shape[0] + + loader = DataLoader(list(range(size)), batch_size=1, collate_fn=self.collate, shuffle=False, num_workers=0) + loader._data = self # an ugly fix... we need poses in trainer. + + # do evaluate if has gt images and use self-driven setting + loader.has_gt = False + + return loader + + +class NeRFDataset: + def __init__(self, opt, device, type='train', downscale=1): + super().__init__() + + self.opt = opt + self.device = device + self.type = type # train, val, test + self.downscale = downscale + self.root_path = opt.path + self.preload = opt.preload # 0 = disk, 1 = cpu, 2 = gpu + self.scale = opt.scale # camera radius scale to make sure camera are inside the bounding box. + self.offset = opt.offset # camera offset + self.bound = opt.bound # bounding box half length, also used as the radius to random sample poses. + self.fp16 = opt.fp16 + + self.start_index = opt.data_range[0] + self.end_index = opt.data_range[1] + + self.training = self.type in ['train', 'all', 'trainval'] + self.num_rays = self.opt.num_rays if self.training else -1 + + # load nerf-compatible format data. + + # load all splits (train/valid/test) + if type == 'all': + transform_paths = glob.glob(os.path.join(self.root_path, '*.json')) + transform = None + for transform_path in transform_paths: + with open(transform_path, 'r') as f: + tmp_transform = json.load(f) + if transform is None: + transform = tmp_transform + else: + transform['frames'].extend(tmp_transform['frames']) + # load train and val split + elif type == 'trainval': + with open(os.path.join(self.root_path, f'transforms_train.json'), 'r') as f: + transform = json.load(f) + with open(os.path.join(self.root_path, f'transforms_val.json'), 'r') as f: + transform_val = json.load(f) + transform['frames'].extend(transform_val['frames']) + # only load one specified split + else: + # no test, use val as test + _split = 'val' if type == 'test' else type + with open(os.path.join(self.root_path, f'transforms_{_split}.json'), 'r') as f: + transform = json.load(f) + + # load image size + if 'h' in transform and 'w' in transform: + self.H = int(transform['h']) // downscale + self.W = int(transform['w']) // downscale + else: + self.H = int(transform['cy']) * 2 // downscale + self.W = int(transform['cx']) * 2 // downscale + + # read images + frames = transform["frames"] + + # use a slice of the dataset + if self.end_index == -1: # abuse... + self.end_index = len(frames) + + frames = frames[self.start_index:self.end_index] + + # use a subset of dataset. + if type == 'train': + if self.opt.part: + frames = frames[::10] # 1/10 frames + elif self.opt.part2: + frames = frames[:375] # first 15s + elif type == 'val': + frames = frames[:100] # first 100 frames for val + + print(f'[INFO] load {len(frames)} {type} frames.') + + # only load pre-calculated aud features when not live-streaming + if not self.opt.asr: + + # empty means the default self-driven extracted features. + if self.opt.aud == '': + if 'esperanto' in self.opt.asr_model: + aud_features = np.load(os.path.join(self.root_path, 'aud_eo.npy')) + elif 'deepspeech' in self.opt.asr_model: + aud_features = np.load(os.path.join(self.root_path, 'aud_ds.npy')) + # elif 'hubert_cn' in self.opt.asr_model: + # aud_features = np.load(os.path.join(self.root_path, 'aud_hu_cn.npy')) + elif 'hubert' in self.opt.asr_model: + aud_features = np.load(os.path.join(self.root_path, 'aud_hu.npy')) + else: + aud_features = np.load(os.path.join(self.root_path, 'aud.npy')) + # cross-driven extracted features. + else: + aud_features = np.load(self.opt.aud) + + aud_features = torch.from_numpy(aud_features) + + # support both [N, 16] labels and [N, 16, K] logits + if len(aud_features.shape) == 3: + aud_features = aud_features.float().permute(0, 2, 1) # [N, 16, 29] --> [N, 29, 16] + + if self.opt.emb: + print(f'[INFO] argmax to aud features {aud_features.shape} for --emb mode') + aud_features = aud_features.argmax(1) # [N, 16] + + else: + assert self.opt.emb, "aud only provide labels, must use --emb" + aud_features = aud_features.long() + + print(f'[INFO] load {self.opt.aud} aud_features: {aud_features.shape}') + + # load action units + import pandas as pd + au_blink_info=pd.read_csv(os.path.join(self.root_path, 'au.csv')) + au_blink = au_blink_info[' AU45_r'].values + + self.torso_img = [] + self.images = [] + + self.poses = [] + self.exps = [] + + self.auds = [] + self.face_rect = [] + self.lhalf_rect = [] + self.lips_rect = [] + self.eye_area = [] + self.eye_rect = [] + + for f in tqdm.tqdm(frames, desc=f'Loading {type} data'): + + f_path = os.path.join(self.root_path, 'gt_imgs', str(f['img_id']) + '.jpg') + + if not os.path.exists(f_path): + print('[WARN]', f_path, 'NOT FOUND!') + continue + + pose = np.array(f['transform_matrix'], dtype=np.float32) # [4, 4] + pose = nerf_matrix_to_ngp(pose, scale=self.scale, offset=self.offset) + self.poses.append(pose) + + if self.preload > 0: + image = cv2.imread(f_path, cv2.IMREAD_UNCHANGED) # [H, W, 3] o [H, W, 4] + image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) + image = image.astype(np.float32) / 255 # [H, W, 3/4] + + self.images.append(image) + else: + self.images.append(f_path) + + # load frame-wise bg + + torso_img_path = os.path.join(self.root_path, 'torso_imgs', str(f['img_id']) + '.png') + + if self.preload > 0: + torso_img = cv2.imread(torso_img_path, cv2.IMREAD_UNCHANGED) # [H, W, 4] + torso_img = cv2.cvtColor(torso_img, cv2.COLOR_BGRA2RGBA) + torso_img = torso_img.astype(np.float32) / 255 # [H, W, 3/4] + + self.torso_img.append(torso_img) + else: + self.torso_img.append(torso_img_path) + + # find the corresponding audio to the image frame + if not self.opt.asr and self.opt.aud == '': + aud = aud_features[min(f['aud_id'], aud_features.shape[0] - 1)] # careful for the last frame... + self.auds.append(aud) + + # load lms and extract face + lms = np.loadtxt(os.path.join(self.root_path, 'ori_imgs', str(f['img_id']) + '.lms')) # [68, 2] + + lh_xmin, lh_xmax = int(lms[31:36, 1].min()), int(lms[:, 1].max()) # actually lower half area + xmin, xmax = int(lms[:, 1].min()), int(lms[:, 1].max()) + ymin, ymax = int(lms[:, 0].min()), int(lms[:, 0].max()) + self.face_rect.append([xmin, xmax, ymin, ymax]) + self.lhalf_rect.append([lh_xmin, lh_xmax, ymin, ymax]) + + if self.opt.exp_eye: + # eyes_left = slice(36, 42) + # eyes_right = slice(42, 48) + + # area_left = polygon_area(lms[eyes_left, 0], lms[eyes_left, 1]) + # area_right = polygon_area(lms[eyes_right, 0], lms[eyes_right, 1]) + + # # area percentage of two eyes of the whole image... + # area = (area_left + area_right) / (self.H * self.W) * 100 + + # action units blink AU45 + area = au_blink[f['img_id']] + area = np.clip(area, 0, 2) / 2 + # area = area + np.random.rand() / 10 + self.eye_area.append(area) + + xmin, xmax = int(lms[36:48, 1].min()), int(lms[36:48, 1].max()) + ymin, ymax = int(lms[36:48, 0].min()), int(lms[36:48, 0].max()) + self.eye_rect.append([xmin, xmax, ymin, ymax]) + + if self.opt.finetune_lips: + lips = slice(48, 60) + xmin, xmax = int(lms[lips, 1].min()), int(lms[lips, 1].max()) + ymin, ymax = int(lms[lips, 0].min()), int(lms[lips, 0].max()) + + # padding to H == W + cx = (xmin + xmax) // 2 + cy = (ymin + ymax) // 2 + + l = max(xmax - xmin, ymax - ymin) // 2 + xmin = max(0, cx - l) + xmax = min(self.H, cx + l) + ymin = max(0, cy - l) + ymax = min(self.W, cy + l) + + self.lips_rect.append([xmin, xmax, ymin, ymax]) + + # load pre-extracted background image (should be the same size as training image...) + + if self.opt.bg_img == 'white': # special + bg_img = np.ones((self.H, self.W, 3), dtype=np.float32) + elif self.opt.bg_img == 'black': # special + bg_img = np.zeros((self.H, self.W, 3), dtype=np.float32) + else: # load from file + # default bg + if self.opt.bg_img == '': + self.opt.bg_img = os.path.join(self.root_path, 'bc.jpg') + bg_img = cv2.imread(self.opt.bg_img, cv2.IMREAD_UNCHANGED) # [H, W, 3] + if bg_img.shape[0] != self.H or bg_img.shape[1] != self.W: + bg_img = cv2.resize(bg_img, (self.W, self.H), interpolation=cv2.INTER_AREA) + bg_img = cv2.cvtColor(bg_img, cv2.COLOR_BGR2RGB) + bg_img = bg_img.astype(np.float32) / 255 # [H, W, 3/4] + + self.bg_img = bg_img + + self.poses = np.stack(self.poses, axis=0) + + # smooth camera path... + if self.opt.smooth_path: + self.poses = smooth_camera_path(self.poses, self.opt.smooth_path_window) + + self.poses = torch.from_numpy(self.poses) # [N, 4, 4] + + if self.preload > 0: + self.images = torch.from_numpy(np.stack(self.images, axis=0)) # [N, H, W, C] + self.torso_img = torch.from_numpy(np.stack(self.torso_img, axis=0)) # [N, H, W, C] + else: + self.images = np.array(self.images) + self.torso_img = np.array(self.torso_img) + + if self.opt.asr: + # live streaming, no pre-calculated auds + self.auds = None + else: + # auds corresponding to images + if self.opt.aud == '': + self.auds = torch.stack(self.auds, dim=0) # [N, 32, 16] + # auds is novel, may have a different length with images + else: + self.auds = aud_features + + self.bg_img = torch.from_numpy(self.bg_img) + + if self.opt.exp_eye: + self.eye_area = np.array(self.eye_area, dtype=np.float32) # [N] + print(f'[INFO] eye_area: {self.eye_area.min()} - {self.eye_area.max()}') + + if self.opt.smooth_eye: + + # naive 5 window average + ori_eye = self.eye_area.copy() + for i in range(ori_eye.shape[0]): + start = max(0, i - 1) + end = min(ori_eye.shape[0], i + 2) + self.eye_area[i] = ori_eye[start:end].mean() + + self.eye_area = torch.from_numpy(self.eye_area).view(-1, 1) # [N, 1] + + + # calculate mean radius of all camera poses + self.radius = self.poses[:, :3, 3].norm(dim=-1).mean(0).item() + #print(f'[INFO] dataset camera poses: radius = {self.radius:.4f}, bound = {self.bound}') + + + # [debug] uncomment to view all training poses. + # visualize_poses(self.poses.numpy()) + + # [debug] uncomment to view examples of randomly generated poses. + # visualize_poses(rand_poses(100, self.device, radius=self.radius).cpu().numpy()) + + if self.preload > 1: + self.poses = self.poses.to(self.device) + + if self.auds is not None: + self.auds = self.auds.to(self.device) + + self.bg_img = self.bg_img.to(torch.half).to(self.device) + + self.torso_img = self.torso_img.to(torch.half).to(self.device) + self.images = self.images.to(torch.half).to(self.device) + + if self.opt.exp_eye: + self.eye_area = self.eye_area.to(self.device) + + # load intrinsics + if 'focal_len' in transform: + fl_x = fl_y = transform['focal_len'] + elif 'fl_x' in transform or 'fl_y' in transform: + fl_x = (transform['fl_x'] if 'fl_x' in transform else transform['fl_y']) / downscale + fl_y = (transform['fl_y'] if 'fl_y' in transform else transform['fl_x']) / downscale + elif 'camera_angle_x' in transform or 'camera_angle_y' in transform: + # blender, assert in radians. already downscaled since we use H/W + fl_x = self.W / (2 * np.tan(transform['camera_angle_x'] / 2)) if 'camera_angle_x' in transform else None + fl_y = self.H / (2 * np.tan(transform['camera_angle_y'] / 2)) if 'camera_angle_y' in transform else None + if fl_x is None: fl_x = fl_y + if fl_y is None: fl_y = fl_x + else: + raise RuntimeError('Failed to load focal length, please check the transforms.json!') + + cx = (transform['cx'] / downscale) if 'cx' in transform else (self.W / 2) + cy = (transform['cy'] / downscale) if 'cy' in transform else (self.H / 2) + + self.intrinsics = np.array([fl_x, fl_y, cx, cy]) + + # directly build the coordinate meshgrid in [-1, 1]^2 + self.bg_coords = get_bg_coords(self.H, self.W, self.device) # [1, H*W, 2] in [-1, 1] + + + def mirror_index(self, index): + size = self.poses.shape[0] + turn = index // size + res = index % size + if turn % 2 == 0: + return res + else: + return size - res - 1 + + + def collate(self, index): + + B = len(index) # a list of length 1 + # assert B == 1 + + results = {} + + # audio use the original index + if self.auds is not None: + auds = get_audio_features(self.auds, self.opt.att, index[0]).to(self.device) + results['auds'] = auds + + # head pose and bg image may mirror (replay --> <-- --> <--). + index[0] = self.mirror_index(index[0]) + + poses = self.poses[index].to(self.device) # [B, 4, 4] + + if self.training and self.opt.finetune_lips: + rect = self.lips_rect[index[0]] + results['rect'] = rect + rays = get_rays(poses, self.intrinsics, self.H, self.W, -1, rect=rect) + else: + rays = get_rays(poses, self.intrinsics, self.H, self.W, self.num_rays, self.opt.patch_size) + + results['index'] = index # for ind. code + results['H'] = self.H + results['W'] = self.W + results['rays_o'] = rays['rays_o'] + results['rays_d'] = rays['rays_d'] + + # get a mask for rays inside rect_face + if self.training: + xmin, xmax, ymin, ymax = self.face_rect[index[0]] + face_mask = (rays['j'] >= xmin) & (rays['j'] < xmax) & (rays['i'] >= ymin) & (rays['i'] < ymax) # [B, N] + results['face_mask'] = face_mask + + xmin, xmax, ymin, ymax = self.lhalf_rect[index[0]] + lhalf_mask = (rays['j'] >= xmin) & (rays['j'] < xmax) & (rays['i'] >= ymin) & (rays['i'] < ymax) # [B, N] + results['lhalf_mask'] = lhalf_mask + + if self.opt.exp_eye: + results['eye'] = self.eye_area[index].to(self.device) # [1] + if self.training: + results['eye'] += (np.random.rand()-0.5) / 10 + xmin, xmax, ymin, ymax = self.eye_rect[index[0]] + eye_mask = (rays['j'] >= xmin) & (rays['j'] < xmax) & (rays['i'] >= ymin) & (rays['i'] < ymax) # [B, N] + results['eye_mask'] = eye_mask + + else: + results['eye'] = None + + # load bg + bg_torso_img = self.torso_img[index] + if self.preload == 0: # on the fly loading + bg_torso_img = cv2.imread(bg_torso_img[0], cv2.IMREAD_UNCHANGED) # [H, W, 4] + bg_torso_img = cv2.cvtColor(bg_torso_img, cv2.COLOR_BGRA2RGBA) + bg_torso_img = bg_torso_img.astype(np.float32) / 255 # [H, W, 3/4] + bg_torso_img = torch.from_numpy(bg_torso_img).unsqueeze(0) + bg_torso_img = bg_torso_img[..., :3] * bg_torso_img[..., 3:] + self.bg_img * (1 - bg_torso_img[..., 3:]) + bg_torso_img = bg_torso_img.view(B, -1, 3).to(self.device) + + if not self.opt.torso: + bg_img = bg_torso_img + else: + bg_img = self.bg_img.view(1, -1, 3).repeat(B, 1, 1).to(self.device) + + if self.training: + bg_img = torch.gather(bg_img, 1, torch.stack(3 * [rays['inds']], -1)) # [B, N, 3] + + results['bg_color'] = bg_img + + if self.opt.torso and self.training: + bg_torso_img = torch.gather(bg_torso_img, 1, torch.stack(3 * [rays['inds']], -1)) # [B, N, 3] + results['bg_torso_color'] = bg_torso_img + + images = self.images[index] # [B, H, W, 3/4] + if self.preload == 0: + images = cv2.imread(images[0], cv2.IMREAD_UNCHANGED) # [H, W, 3] + images = cv2.cvtColor(images, cv2.COLOR_BGR2RGB) + images = images.astype(np.float32) / 255 # [H, W, 3] + images = torch.from_numpy(images).unsqueeze(0) + images = images.to(self.device) + + if self.training: + C = images.shape[-1] + images = torch.gather(images.view(B, -1, C), 1, torch.stack(C * [rays['inds']], -1)) # [B, N, 3/4] + + results['images'] = images + + if self.training: + bg_coords = torch.gather(self.bg_coords, 1, torch.stack(2 * [rays['inds']], -1)) # [1, N, 2] + else: + bg_coords = self.bg_coords # [1, N, 2] + + results['bg_coords'] = bg_coords + + # results['poses'] = convert_poses(poses) # [B, 6] + # results['poses_matrix'] = poses # [B, 4, 4] + results['poses'] = poses # [B, 4, 4] + + return results + + def dataloader(self): + + if self.training: + # training len(poses) == len(auds) + size = self.poses.shape[0] + else: + # test with novel auds, then use its length + if self.auds is not None: + size = self.auds.shape[0] + # live stream test, use 2 * len(poses), so it naturally mirrors. + else: + size = 2 * self.poses.shape[0] + + loader = DataLoader(list(range(size)), batch_size=1, collate_fn=self.collate, shuffle=self.training, num_workers=0) + loader._data = self # an ugly fix... we need poses in trainer. + + # do evaluate if has gt images and use self-driven setting + loader.has_gt = (self.opt.aud == '') + + return loader \ No newline at end of file diff --git a/NeRF/nerf_triplane/renderer.py b/NeRF/nerf_triplane/renderer.py new file mode 100644 index 0000000000000000000000000000000000000000..3dfe8f2a03c7038dd29734b1a8341563968ee761 --- /dev/null +++ b/NeRF/nerf_triplane/renderer.py @@ -0,0 +1,700 @@ +import math +import trimesh +import numpy as np +import random + +import torch +import torch.nn as nn +import torch.nn.functional as F + +import raymarching +from .utils import custom_meshgrid, get_audio_features, euler_angles_to_matrix, convert_poses + +def sample_pdf(bins, weights, n_samples, det=False): + # This implementation is from NeRF + # bins: [B, T], old_z_vals + # weights: [B, T - 1], bin weights. + # return: [B, n_samples], new_z_vals + + # Get pdf + weights = weights + 1e-5 # prevent nans + pdf = weights / torch.sum(weights, -1, keepdim=True) + cdf = torch.cumsum(pdf, -1) + cdf = torch.cat([torch.zeros_like(cdf[..., :1]), cdf], -1) + # Take uniform samples + if det: + u = torch.linspace(0. + 0.5 / n_samples, 1. - 0.5 / n_samples, steps=n_samples).to(weights.device) + u = u.expand(list(cdf.shape[:-1]) + [n_samples]) + else: + u = torch.rand(list(cdf.shape[:-1]) + [n_samples]).to(weights.device) + + # Invert CDF + u = u.contiguous() + inds = torch.searchsorted(cdf, u, right=True) + below = torch.max(torch.zeros_like(inds - 1), inds - 1) + above = torch.min((cdf.shape[-1] - 1) * torch.ones_like(inds), inds) + inds_g = torch.stack([below, above], -1) # (B, n_samples, 2) + + matched_shape = [inds_g.shape[0], inds_g.shape[1], cdf.shape[-1]] + cdf_g = torch.gather(cdf.unsqueeze(1).expand(matched_shape), 2, inds_g) + bins_g = torch.gather(bins.unsqueeze(1).expand(matched_shape), 2, inds_g) + + denom = (cdf_g[..., 1] - cdf_g[..., 0]) + denom = torch.where(denom < 1e-5, torch.ones_like(denom), denom) + t = (u - cdf_g[..., 0]) / denom + samples = bins_g[..., 0] + t * (bins_g[..., 1] - bins_g[..., 0]) + + return samples + + +def plot_pointcloud(pc, color=None): + # pc: [N, 3] + # color: [N, 3/4] + print('[visualize points]', pc.shape, pc.dtype, pc.min(0), pc.max(0)) + pc = trimesh.PointCloud(pc, color) + # axis + axes = trimesh.creation.axis(axis_length=4) + # sphere + sphere = trimesh.creation.icosphere(radius=1) + trimesh.Scene([pc, axes, sphere]).show() + + +class NeRFRenderer(nn.Module): + def __init__(self, opt): + + super().__init__() + + self.opt = opt + self.bound = opt.bound + self.cascade = 1 + math.ceil(math.log2(opt.bound)) + self.grid_size = 128 + self.density_scale = 1 + + self.min_near = opt.min_near + self.density_thresh = opt.density_thresh + self.density_thresh_torso = opt.density_thresh_torso + + self.exp_eye = opt.exp_eye + self.test_train = opt.test_train + self.smooth_lips = opt.smooth_lips + + self.torso = opt.torso + self.cuda_ray = opt.cuda_ray + + # prepare aabb with a 6D tensor (xmin, ymin, zmin, xmax, ymax, zmax) + # NOTE: aabb (can be rectangular) is only used to generate points, we still rely on bound (always cubic) to calculate density grid and hashing. + aabb_train = torch.FloatTensor([-opt.bound, -opt.bound/2, -opt.bound, opt.bound, opt.bound/2, opt.bound]) + aabb_infer = aabb_train.clone() + self.register_buffer('aabb_train', aabb_train) + self.register_buffer('aabb_infer', aabb_infer) + + # individual codes + self.individual_num = opt.ind_num + + self.individual_dim = opt.ind_dim + if self.individual_dim > 0: + self.individual_codes = nn.Parameter(torch.randn(self.individual_num, self.individual_dim) * 0.1) + + if self.torso: + self.individual_dim_torso = opt.ind_dim_torso + if self.individual_dim_torso > 0: + self.individual_codes_torso = nn.Parameter(torch.randn(self.individual_num, self.individual_dim_torso) * 0.1) + + # optimize camera pose + self.train_camera = self.opt.train_camera + if self.train_camera: + self.camera_dR = nn.Parameter(torch.zeros(self.individual_num, 3)) # euler angle + self.camera_dT = nn.Parameter(torch.zeros(self.individual_num, 3)) # xyz offset + + # extra state for cuda raymarching + + # 3D head density grid + density_grid = torch.zeros([self.cascade, self.grid_size ** 3]) # [CAS, H * H * H] + density_bitfield = torch.zeros(self.cascade * self.grid_size ** 3 // 8, dtype=torch.uint8) # [CAS * H * H * H // 8] + self.register_buffer('density_grid', density_grid) + self.register_buffer('density_bitfield', density_bitfield) + self.mean_density = 0 + self.iter_density = 0 + + # 2D torso density grid + if self.torso: + density_grid_torso = torch.zeros([self.grid_size ** 2]) # [H * H] + self.register_buffer('density_grid_torso', density_grid_torso) + self.mean_density_torso = 0 + + # step counter + step_counter = torch.zeros(16, 2, dtype=torch.int32) # 16 is hardcoded for averaging... + self.register_buffer('step_counter', step_counter) + self.mean_count = 0 + self.local_step = 0 + + # decay for enc_a + if self.smooth_lips: + self.enc_a = None + + def forward(self, x, d): + raise NotImplementedError() + + # separated density and color query (can accelerate non-cuda-ray mode.) + def density(self, x): + raise NotImplementedError() + + def color(self, x, d, mask=None, **kwargs): + raise NotImplementedError() + + def reset_extra_state(self): + if not self.cuda_ray: + return + # density grid + self.density_grid.zero_() + self.mean_density = 0 + self.iter_density = 0 + # step counter + self.step_counter.zero_() + self.mean_count = 0 + self.local_step = 0 + + + def run_cuda(self, rays_o, rays_d, auds, bg_coords, poses, eye=None, index=0, dt_gamma=0, bg_color=None, perturb=False, force_all_rays=False, max_steps=1024, T_thresh=1e-4, **kwargs): + # rays_o, rays_d: [B, N, 3], assumes B == 1 + # auds: [B, 16] + # index: [B] + # return: image: [B, N, 3], depth: [B, N] + + prefix = rays_o.shape[:-1] + rays_o = rays_o.contiguous().view(-1, 3) + rays_d = rays_d.contiguous().view(-1, 3) + bg_coords = bg_coords.contiguous().view(-1, 2) + + # only add camera offset at training! + if self.train_camera and (self.training or self.test_train): + dT = self.camera_dT[index] # [1, 3] + dR = euler_angles_to_matrix(self.camera_dR[index] / 180 * np.pi + 1e-8).squeeze(0) # [1, 3] --> [3, 3] + + rays_o = rays_o + dT + rays_d = rays_d @ dR + + N = rays_o.shape[0] # N = B * N, in fact + device = rays_o.device + + results = {} + + # pre-calculate near far + nears, fars = raymarching.near_far_from_aabb(rays_o, rays_d, self.aabb_train if self.training else self.aabb_infer, self.min_near) + nears = nears.detach() + fars = fars.detach() + + # encode audio + enc_a = self.encode_audio(auds) # [1, 64] + + if enc_a is not None and self.smooth_lips: + if self.enc_a is not None: + _lambda = 0.35 + enc_a = _lambda * self.enc_a + (1 - _lambda) * enc_a + self.enc_a = enc_a + + + if self.individual_dim > 0: + if self.training: + ind_code = self.individual_codes[index] + # use a fixed ind code for the unknown test data. + else: + ind_code = self.individual_codes[0] + else: + ind_code = None + + if self.training: + # setup counter + counter = self.step_counter[self.local_step % 16] + counter.zero_() # set to 0 + self.local_step += 1 + + xyzs, dirs, deltas, rays = raymarching.march_rays_train(rays_o, rays_d, self.bound, self.density_bitfield, self.cascade, self.grid_size, nears, fars, counter, self.mean_count, perturb, 128, force_all_rays, dt_gamma, max_steps) + sigmas, rgbs, amb_aud, amb_eye, uncertainty = self(xyzs, dirs, enc_a, ind_code, eye) + sigmas = self.density_scale * sigmas + + #print(f'valid RGB query ratio: {mask.sum().item() / mask.shape[0]} (total = {mask.sum().item()})') + + # weights_sum, ambient_sum, uncertainty_sum, depth, image = raymarching.composite_rays_train_uncertainty(sigmas, rgbs, ambient.abs().sum(-1), uncertainty, deltas, rays) + weights_sum, amb_aud_sum, amb_eye_sum, uncertainty_sum, depth, image = raymarching.composite_rays_train_triplane(sigmas, rgbs, amb_aud.abs().sum(-1), amb_eye.abs().sum(-1), uncertainty, deltas, rays) + + # for training only + results['weights_sum'] = weights_sum + results['ambient_aud'] = amb_aud_sum + results['ambient_eye'] = amb_eye_sum + results['uncertainty'] = uncertainty_sum + + results['rays'] = xyzs, dirs, enc_a, ind_code, eye + + else: + + dtype = torch.float32 + + weights_sum = torch.zeros(N, dtype=dtype, device=device) + depth = torch.zeros(N, dtype=dtype, device=device) + image = torch.zeros(N, 3, dtype=dtype, device=device) + amb_aud_sum = torch.zeros(N, dtype=dtype, device=device) + amb_eye_sum = torch.zeros(N, dtype=dtype, device=device) + uncertainty_sum = torch.zeros(N, dtype=dtype, device=device) + + n_alive = N + rays_alive = torch.arange(n_alive, dtype=torch.int32, device=device) # [N] + rays_t = nears.clone() # [N] + + step = 0 + + while step < max_steps: + + # count alive rays + n_alive = rays_alive.shape[0] + + # exit loop + if n_alive <= 0: + break + + # decide compact_steps + n_step = max(min(N // n_alive, 8), 1) + + xyzs, dirs, deltas = raymarching.march_rays(n_alive, n_step, rays_alive, rays_t, rays_o, rays_d, self.bound, self.density_bitfield, self.cascade, self.grid_size, nears, fars, 128, perturb if step == 0 else False, dt_gamma, max_steps) + + sigmas, rgbs, ambients_aud, ambients_eye, uncertainties = self(xyzs, dirs, enc_a, ind_code, eye) + sigmas = self.density_scale * sigmas + + # raymarching.composite_rays_uncertainty(n_alive, n_step, rays_alive, rays_t, sigmas, rgbs, deltas, ambients, uncertainties, weights_sum, depth, image, ambient_sum, uncertainty_sum, T_thresh) + raymarching.composite_rays_triplane(n_alive, n_step, rays_alive, rays_t, sigmas, rgbs, deltas, ambients_aud, ambients_eye, uncertainties, weights_sum, depth, image, amb_aud_sum, amb_eye_sum, uncertainty_sum, T_thresh) + + rays_alive = rays_alive[rays_alive >= 0] + + # print(f'step = {step}, n_step = {n_step}, n_alive = {n_alive}, xyzs: {xyzs.shape}') + + step += n_step + + torso_results = self.run_torso(rays_o, bg_coords, poses, index, bg_color) + bg_color = torso_results['bg_color'] + + image = image + (1 - weights_sum).unsqueeze(-1) * bg_color + image = image.view(*prefix, 3) + image = image.clamp(0, 1) + + depth = torch.clamp(depth - nears, min=0) / (fars - nears) + depth = depth.view(*prefix) + + amb_aud_sum = amb_aud_sum.view(*prefix) + amb_eye_sum = amb_eye_sum.view(*prefix) + + results['depth'] = depth + results['image'] = image # head_image if train, else com_image + results['ambient_aud'] = amb_aud_sum + results['ambient_eye'] = amb_eye_sum + results['uncertainty'] = uncertainty_sum + + return results + + + def run_torso(self, rays_o, bg_coords, poses, index=0, bg_color=None, **kwargs): + # rays_o, rays_d: [B, N, 3], assumes B == 1 + # auds: [B, 16] + # index: [B] + # return: image: [B, N, 3], depth: [B, N] + + rays_o = rays_o.contiguous().view(-1, 3) + bg_coords = bg_coords.contiguous().view(-1, 2) + + N = rays_o.shape[0] # N = B * N, in fact + device = rays_o.device + + results = {} + + # background + if bg_color is None: + bg_color = 1 + + # first mix torso with background + if self.torso: + # torso ind code + if self.individual_dim_torso > 0: + if self.training: + ind_code_torso = self.individual_codes_torso[index] + # use a fixed ind code for the unknown test data. + else: + ind_code_torso = self.individual_codes_torso[0] + else: + ind_code_torso = None + + # 2D density grid for acceleration... + density_thresh_torso = min(self.density_thresh_torso, self.mean_density_torso) + occupancy = F.grid_sample(self.density_grid_torso.view(1, 1, self.grid_size, self.grid_size), bg_coords.view(1, -1, 1, 2), align_corners=True).view(-1) + mask = occupancy > density_thresh_torso + + # masked query of torso + torso_alpha = torch.zeros([N, 1], device=device) + torso_color = torch.zeros([N, 3], device=device) + + if mask.any(): + torso_alpha_mask, torso_color_mask, deform = self.forward_torso(bg_coords[mask], poses, ind_code_torso) + + torso_alpha[mask] = torso_alpha_mask.float() + torso_color[mask] = torso_color_mask.float() + + results['deform'] = deform + + # first mix torso with background + + bg_color = torso_color * torso_alpha + bg_color * (1 - torso_alpha) + + results['torso_alpha'] = torso_alpha + results['torso_color'] = bg_color + + # print(torso_alpha.shape, torso_alpha.max().item(), torso_alpha.min().item()) + + results['bg_color'] = bg_color + + return results + + + @torch.no_grad() + def mark_untrained_grid(self, poses, intrinsic, S=64): + # poses: [B, 4, 4] + # intrinsic: [3, 3] + + if not self.cuda_ray: + return + + if isinstance(poses, np.ndarray): + poses = torch.from_numpy(poses) + + B = poses.shape[0] + + fx, fy, cx, cy = intrinsic + + X = torch.arange(self.grid_size, dtype=torch.int32, device=self.density_bitfield.device).split(S) + Y = torch.arange(self.grid_size, dtype=torch.int32, device=self.density_bitfield.device).split(S) + Z = torch.arange(self.grid_size, dtype=torch.int32, device=self.density_bitfield.device).split(S) + + count = torch.zeros_like(self.density_grid) + poses = poses.to(count.device) + + # 5-level loop, forgive me... + + for xs in X: + for ys in Y: + for zs in Z: + + # construct points + xx, yy, zz = custom_meshgrid(xs, ys, zs) + coords = torch.cat([xx.reshape(-1, 1), yy.reshape(-1, 1), zz.reshape(-1, 1)], dim=-1) # [N, 3], in [0, 128) + indices = raymarching.morton3D(coords).long() # [N] + world_xyzs = (2 * coords.float() / (self.grid_size - 1) - 1).unsqueeze(0) # [1, N, 3] in [-1, 1] + + # cascading + for cas in range(self.cascade): + bound = min(2 ** cas, self.bound) + half_grid_size = bound / self.grid_size + # scale to current cascade's resolution + cas_world_xyzs = world_xyzs * (bound - half_grid_size) + + # split batch to avoid OOM + head = 0 + while head < B: + tail = min(head + S, B) + + # world2cam transform (poses is c2w, so we need to transpose it. Another transpose is needed for batched matmul, so the final form is without transpose.) + cam_xyzs = cas_world_xyzs - poses[head:tail, :3, 3].unsqueeze(1) + cam_xyzs = cam_xyzs @ poses[head:tail, :3, :3] # [S, N, 3] + + # query if point is covered by any camera + mask_z = cam_xyzs[:, :, 2] > 0 # [S, N] + mask_x = torch.abs(cam_xyzs[:, :, 0]) < cx / fx * cam_xyzs[:, :, 2] + half_grid_size * 2 + mask_y = torch.abs(cam_xyzs[:, :, 1]) < cy / fy * cam_xyzs[:, :, 2] + half_grid_size * 2 + mask = (mask_z & mask_x & mask_y).sum(0).reshape(-1) # [N] + + # update count + count[cas, indices] += mask + head += S + + # mark untrained grid as -1 + self.density_grid[count == 0] = -1 + + #print(f'[mark untrained grid] {(count == 0).sum()} from {resolution ** 3 * self.cascade}') + + @torch.no_grad() + def update_extra_state(self, decay=0.95, S=128): + # call before each epoch to update extra states. + + if not self.cuda_ray: + return + + # use random auds (different expressions should have similar density grid...) + rand_idx = random.randint(0, self.aud_features.shape[0] - 1) + auds = get_audio_features(self.aud_features, self.att, rand_idx).to(self.density_bitfield.device) + + # encode audio + enc_a = self.encode_audio(auds) + + ### update density grid + if not self.torso: # forbid updating head if is training torso... + + tmp_grid = torch.zeros_like(self.density_grid) + + # use a random eye area based on training dataset's statistics... + if self.exp_eye: + eye = self.eye_area[[rand_idx]].to(self.density_bitfield.device) # [1, 1] + else: + eye = None + + # full update + X = torch.arange(self.grid_size, dtype=torch.int32, device=self.density_bitfield.device).split(S) + Y = torch.arange(self.grid_size, dtype=torch.int32, device=self.density_bitfield.device).split(S) + Z = torch.arange(self.grid_size, dtype=torch.int32, device=self.density_bitfield.device).split(S) + + for xs in X: + for ys in Y: + for zs in Z: + + # construct points + xx, yy, zz = custom_meshgrid(xs, ys, zs) + coords = torch.cat([xx.reshape(-1, 1), yy.reshape(-1, 1), zz.reshape(-1, 1)], dim=-1) # [N, 3], in [0, 128) + indices = raymarching.morton3D(coords).long() # [N] + xyzs = 2 * coords.float() / (self.grid_size - 1) - 1 # [N, 3] in [-1, 1] + + # cascading + for cas in range(self.cascade): + bound = min(2 ** cas, self.bound) + half_grid_size = bound / self.grid_size + # scale to current cascade's resolution + cas_xyzs = xyzs * (bound - half_grid_size) + # add noise in [-hgs, hgs] + cas_xyzs += (torch.rand_like(cas_xyzs) * 2 - 1) * half_grid_size + # query density + sigmas = self.density(cas_xyzs, enc_a, eye)['sigma'].reshape(-1).detach().to(tmp_grid.dtype) + sigmas *= self.density_scale + # assign + tmp_grid[cas, indices] = sigmas + + # dilate the density_grid (less aggressive culling) + tmp_grid = raymarching.morton3D_dilation(tmp_grid) + + # ema update + valid_mask = (self.density_grid >= 0) & (tmp_grid >= 0) + self.density_grid[valid_mask] = torch.maximum(self.density_grid[valid_mask] * decay, tmp_grid[valid_mask]) + self.mean_density = torch.mean(self.density_grid.clamp(min=0)).item() # -1 non-training regions are viewed as 0 density. + self.iter_density += 1 + + # convert to bitfield + density_thresh = min(self.mean_density, self.density_thresh) + self.density_bitfield = raymarching.packbits(self.density_grid, density_thresh, self.density_bitfield) + + ### update torso density grid + if self.torso: + tmp_grid_torso = torch.zeros_like(self.density_grid_torso) + + # random pose, random ind_code + rand_idx = random.randint(0, self.poses.shape[0] - 1) + # pose = convert_poses(self.poses[[rand_idx]]).to(self.density_bitfield.device) + pose = self.poses[[rand_idx]].to(self.density_bitfield.device) + + if self.opt.ind_dim_torso > 0: + ind_code = self.individual_codes_torso[[rand_idx]] + else: + ind_code = None + + X = torch.arange(self.grid_size, dtype=torch.int32, device=self.density_bitfield.device).split(S) + Y = torch.arange(self.grid_size, dtype=torch.int32, device=self.density_bitfield.device).split(S) + + half_grid_size = 1 / self.grid_size + + for xs in X: + for ys in Y: + xx, yy = custom_meshgrid(xs, ys) + coords = torch.cat([xx.reshape(-1, 1), yy.reshape(-1, 1)], dim=-1) # [N, 2], in [0, 128) + indices = (coords[:, 1] * self.grid_size + coords[:, 0]).long() # NOTE: xy transposed! + xys = 2 * coords.float() / (self.grid_size - 1) - 1 # [N, 2] in [-1, 1] + xys = xys * (1 - half_grid_size) + # add noise in [-hgs, hgs] + xys += (torch.rand_like(xys) * 2 - 1) * half_grid_size + # query density + alphas, _, _ = self.forward_torso(xys, pose, ind_code) # [N, 1] + + # assign + tmp_grid_torso[indices] = alphas.squeeze(1).float() + + # dilate + tmp_grid_torso = tmp_grid_torso.view(1, 1, self.grid_size, self.grid_size) + # tmp_grid_torso = F.max_pool2d(tmp_grid_torso, kernel_size=3, stride=1, padding=1) + tmp_grid_torso = F.max_pool2d(tmp_grid_torso, kernel_size=5, stride=1, padding=2) + tmp_grid_torso = tmp_grid_torso.view(-1) + + self.density_grid_torso = torch.maximum(self.density_grid_torso * decay, tmp_grid_torso) + self.mean_density_torso = torch.mean(self.density_grid_torso).item() + + # density_thresh_torso = min(self.density_thresh_torso, self.mean_density_torso) + # print(f'[density grid torso] min={self.density_grid_torso.min().item():.4f}, max={self.density_grid_torso.max().item():.4f}, mean={self.mean_density_torso:.4f}, occ_rate={(self.density_grid_torso > density_thresh_torso).sum() / (128**2):.3f}') + + ### update step counter + total_step = min(16, self.local_step) + if total_step > 0: + self.mean_count = int(self.step_counter[:total_step, 0].sum().item() / total_step) + self.local_step = 0 + + #print(f'[density grid] min={self.density_grid.min().item():.4f}, max={self.density_grid.max().item():.4f}, mean={self.mean_density:.4f}, occ_rate={(self.density_grid > 0.01).sum() / (128**3 * self.cascade):.3f} | [step counter] mean={self.mean_count}') + + + @torch.no_grad() + def get_audio_grid(self, S=128): + # call before each epoch to update extra states. + + if not self.cuda_ray: + return + + # use random auds (different expressions should have similar density grid...) + rand_idx = random.randint(0, self.aud_features.shape[0] - 1) + auds = get_audio_features(self.aud_features, self.att, rand_idx).to(self.density_bitfield.device) + + # encode audio + enc_a = self.encode_audio(auds) + tmp_grid = torch.zeros_like(self.density_grid) + + # use a random eye area based on training dataset's statistics... + if self.exp_eye: + eye = self.eye_area[[rand_idx]].to(self.density_bitfield.device) # [1, 1] + else: + eye = None + + # full update + X = torch.arange(self.grid_size, dtype=torch.int32, device=self.density_bitfield.device).split(S) + Y = torch.arange(self.grid_size, dtype=torch.int32, device=self.density_bitfield.device).split(S) + Z = torch.arange(self.grid_size, dtype=torch.int32, device=self.density_bitfield.device).split(S) + + for xs in X: + for ys in Y: + for zs in Z: + + # construct points + xx, yy, zz = custom_meshgrid(xs, ys, zs) + coords = torch.cat([xx.reshape(-1, 1), yy.reshape(-1, 1), zz.reshape(-1, 1)], dim=-1) # [N, 3], in [0, 128) + indices = raymarching.morton3D(coords).long() # [N] + xyzs = 2 * coords.float() / (self.grid_size - 1) - 1 # [N, 3] in [-1, 1] + + # cascading + for cas in range(self.cascade): + bound = min(2 ** cas, self.bound) + half_grid_size = bound / self.grid_size + # scale to current cascade's resolution + cas_xyzs = xyzs * (bound - half_grid_size) + # add noise in [-hgs, hgs] + cas_xyzs += (torch.rand_like(cas_xyzs) * 2 - 1) * half_grid_size + # query density + aud_norms = self.density(cas_xyzs.to(tmp_grid.dtype), enc_a, eye)['ambient_aud'].reshape(-1).detach().to(tmp_grid.dtype) + # assign + tmp_grid[cas, indices] = aud_norms + + # dilate the density_grid (less aggressive culling) + tmp_grid = raymarching.morton3D_dilation(tmp_grid) + return tmp_grid + # # ema update + # valid_mask = (self.density_grid >= 0) & (tmp_grid >= 0) + # self.density_grid[valid_mask] = torch.maximum(self.density_grid[valid_mask] * decay, tmp_grid[valid_mask]) + + + @torch.no_grad() + def get_eye_grid(self, S=128): + # call before each epoch to update extra states. + + if not self.cuda_ray: + return + + # use random auds (different expressions should have similar density grid...) + rand_idx = random.randint(0, self.aud_features.shape[0] - 1) + auds = get_audio_features(self.aud_features, self.att, rand_idx).to(self.density_bitfield.device) + + # encode audio + enc_a = self.encode_audio(auds) + tmp_grid = torch.zeros_like(self.density_grid) + + # use a random eye area based on training dataset's statistics... + if self.exp_eye: + eye = self.eye_area[[rand_idx]].to(self.density_bitfield.device) # [1, 1] + else: + eye = None + + # full update + X = torch.arange(self.grid_size, dtype=torch.int32, device=self.density_bitfield.device).split(S) + Y = torch.arange(self.grid_size, dtype=torch.int32, device=self.density_bitfield.device).split(S) + Z = torch.arange(self.grid_size, dtype=torch.int32, device=self.density_bitfield.device).split(S) + + for xs in X: + for ys in Y: + for zs in Z: + + # construct points + xx, yy, zz = custom_meshgrid(xs, ys, zs) + coords = torch.cat([xx.reshape(-1, 1), yy.reshape(-1, 1), zz.reshape(-1, 1)], dim=-1) # [N, 3], in [0, 128) + indices = raymarching.morton3D(coords).long() # [N] + xyzs = 2 * coords.float() / (self.grid_size - 1) - 1 # [N, 3] in [-1, 1] + + # cascading + for cas in range(self.cascade): + bound = min(2 ** cas, self.bound) + half_grid_size = bound / self.grid_size + # scale to current cascade's resolution + cas_xyzs = xyzs * (bound - half_grid_size) + # add noise in [-hgs, hgs] + cas_xyzs += (torch.rand_like(cas_xyzs) * 2 - 1) * half_grid_size + # query density + eye_norms = self.density(cas_xyzs.to(tmp_grid.dtype), enc_a, eye)['ambient_eye'].reshape(-1).detach().to(tmp_grid.dtype) + # assign + tmp_grid[cas, indices] = eye_norms + + # dilate the density_grid (less aggressive culling) + tmp_grid = raymarching.morton3D_dilation(tmp_grid) + return tmp_grid + # # ema update + # valid_mask = (self.density_grid >= 0) & (tmp_grid >= 0) + # self.density_grid[valid_mask] = torch.maximum(self.density_grid[valid_mask] * decay, tmp_grid[valid_mask]) + + + + def render(self, rays_o, rays_d, auds, bg_coords, poses, staged=False, max_ray_batch=4096, **kwargs): + # rays_o, rays_d: [B, N, 3], assumes B == 1 + # auds: [B, 29, 16] + # eye: [B, 1] + # bg_coords: [1, N, 2] + # return: pred_rgb: [B, N, 3] + + _run = self.run_cuda + + B, N = rays_o.shape[:2] + device = rays_o.device + + # never stage when cuda_ray + if staged and not self.cuda_ray: + # not used + raise NotImplementedError + + else: + results = _run(rays_o, rays_d, auds, bg_coords, poses, **kwargs) + + return results + + + def render_torso(self, rays_o, rays_d, auds, bg_coords, poses, staged=False, max_ray_batch=4096, **kwargs): + # rays_o, rays_d: [B, N, 3], assumes B == 1 + # auds: [B, 29, 16] + # eye: [B, 1] + # bg_coords: [1, N, 2] + # return: pred_rgb: [B, N, 3] + + _run = self.run_torso + + B, N = rays_o.shape[:2] + device = rays_o.device + + # never stage when cuda_ray + if staged and not self.cuda_ray: + # not used + raise NotImplementedError + + else: + results = _run(rays_o, bg_coords, poses, **kwargs) + + return results \ No newline at end of file diff --git a/NeRF/nerf_triplane/utils.py b/NeRF/nerf_triplane/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..ddb87577a04410e281a8f36e9a4f08431e57033a --- /dev/null +++ b/NeRF/nerf_triplane/utils.py @@ -0,0 +1,1598 @@ +import os +import glob +import tqdm +import random +import tensorboardX +import librosa +import librosa.filters +from scipy import signal +from os.path import basename +import numpy as np +import time +import cv2 +import matplotlib.pyplot as plt + +import torch +import torch.nn as nn +import torch.optim as optim +import torch.nn.functional as F + +import trimesh +import mcubes +from rich.console import Console +from torch_ema import ExponentialMovingAverage + +from packaging import version as pver +import imageio +import lpips + +def custom_meshgrid(*args): + # ref: https://pytorch.org/docs/stable/generated/torch.meshgrid.html?highlight=meshgrid#torch.meshgrid + if pver.parse(torch.__version__) < pver.parse('1.10'): + return torch.meshgrid(*args) + else: + return torch.meshgrid(*args, indexing='ij') + + +def get_audio_features(features, att_mode, index): + if att_mode == 0: + return features[[index]] + elif att_mode == 1: + left = index - 8 + pad_left = 0 + if left < 0: + pad_left = -left + left = 0 + auds = features[left:index] + if pad_left > 0: + # pad may be longer than auds, so do not use zeros_like + auds = torch.cat([torch.zeros(pad_left, *auds.shape[1:], device=auds.device, dtype=auds.dtype), auds], dim=0) + return auds + elif att_mode == 2: + left = index - 4 + right = index + 4 + pad_left = 0 + pad_right = 0 + if left < 0: + pad_left = -left + left = 0 + if right > features.shape[0]: + pad_right = right - features.shape[0] + right = features.shape[0] + auds = features[left:right] + if pad_left > 0: + auds = torch.cat([torch.zeros_like(auds[:pad_left]), auds], dim=0) + if pad_right > 0: + auds = torch.cat([auds, torch.zeros_like(auds[:pad_right])], dim=0) # [8, 16] + return auds + else: + raise NotImplementedError(f'wrong att_mode: {att_mode}') + + +@torch.jit.script +def linear_to_srgb(x): + return torch.where(x < 0.0031308, 12.92 * x, 1.055 * x ** 0.41666 - 0.055) + + +@torch.jit.script +def srgb_to_linear(x): + return torch.where(x < 0.04045, x / 12.92, ((x + 0.055) / 1.055) ** 2.4) + +# copied from pytorch3d +def _angle_from_tan( + axis: str, other_axis: str, data, horizontal: bool, tait_bryan: bool +) -> torch.Tensor: + """ + Extract the first or third Euler angle from the two members of + the matrix which are positive constant times its sine and cosine. + + Args: + axis: Axis label "X" or "Y or "Z" for the angle we are finding. + other_axis: Axis label "X" or "Y or "Z" for the middle axis in the + convention. + data: Rotation matrices as tensor of shape (..., 3, 3). + horizontal: Whether we are looking for the angle for the third axis, + which means the relevant entries are in the same row of the + rotation matrix. If not, they are in the same column. + tait_bryan: Whether the first and third axes in the convention differ. + + Returns: + Euler Angles in radians for each matrix in data as a tensor + of shape (...). + """ + + i1, i2 = {"X": (2, 1), "Y": (0, 2), "Z": (1, 0)}[axis] + if horizontal: + i2, i1 = i1, i2 + even = (axis + other_axis) in ["XY", "YZ", "ZX"] + if horizontal == even: + return torch.atan2(data[..., i1], data[..., i2]) + if tait_bryan: + return torch.atan2(-data[..., i2], data[..., i1]) + return torch.atan2(data[..., i2], -data[..., i1]) + + +def _index_from_letter(letter: str) -> int: + if letter == "X": + return 0 + if letter == "Y": + return 1 + if letter == "Z": + return 2 + raise ValueError("letter must be either X, Y or Z.") + + +def matrix_to_euler_angles(matrix: torch.Tensor, convention: str = 'XYZ') -> torch.Tensor: + """ + Convert rotations given as rotation matrices to Euler angles in radians. + + Args: + matrix: Rotation matrices as tensor of shape (..., 3, 3). + convention: Convention string of three uppercase letters. + + Returns: + Euler angles in radians as tensor of shape (..., 3). + """ + # if len(convention) != 3: + # raise ValueError("Convention must have 3 letters.") + # if convention[1] in (convention[0], convention[2]): + # raise ValueError(f"Invalid convention {convention}.") + # for letter in convention: + # if letter not in ("X", "Y", "Z"): + # raise ValueError(f"Invalid letter {letter} in convention string.") + # if matrix.size(-1) != 3 or matrix.size(-2) != 3: + # raise ValueError(f"Invalid rotation matrix shape {matrix.shape}.") + i0 = _index_from_letter(convention[0]) + i2 = _index_from_letter(convention[2]) + tait_bryan = i0 != i2 + if tait_bryan: + central_angle = torch.asin( + matrix[..., i0, i2] * (-1.0 if i0 - i2 in [-1, 2] else 1.0) + ) + else: + central_angle = torch.acos(matrix[..., i0, i0]) + + o = ( + _angle_from_tan( + convention[0], convention[1], matrix[..., i2], False, tait_bryan + ), + central_angle, + _angle_from_tan( + convention[2], convention[1], matrix[..., i0, :], True, tait_bryan + ), + ) + return torch.stack(o, -1) + +@torch.cuda.amp.autocast(enabled=False) +def _axis_angle_rotation(axis: str, angle: torch.Tensor) -> torch.Tensor: + """ + Return the rotation matrices for one of the rotations about an axis + of which Euler angles describe, for each value of the angle given. + Args: + axis: Axis label "X" or "Y or "Z". + angle: any shape tensor of Euler angles in radians + Returns: + Rotation matrices as tensor of shape (..., 3, 3). + """ + + cos = torch.cos(angle) + sin = torch.sin(angle) + one = torch.ones_like(angle) + zero = torch.zeros_like(angle) + + if axis == "X": + R_flat = (one, zero, zero, zero, cos, -sin, zero, sin, cos) + elif axis == "Y": + R_flat = (cos, zero, sin, zero, one, zero, -sin, zero, cos) + elif axis == "Z": + R_flat = (cos, -sin, zero, sin, cos, zero, zero, zero, one) + else: + raise ValueError("letter must be either X, Y or Z.") + + return torch.stack(R_flat, -1).reshape(angle.shape + (3, 3)) + +@torch.cuda.amp.autocast(enabled=False) +def euler_angles_to_matrix(euler_angles: torch.Tensor, convention: str='XYZ') -> torch.Tensor: + """ + Convert rotations given as Euler angles in radians to rotation matrices. + Args: + euler_angles: Euler angles in radians as tensor of shape (..., 3). + convention: Convention string of three uppercase letters from + {"X", "Y", and "Z"}. + Returns: + Rotation matrices as tensor of shape (..., 3, 3). + """ + + # print(euler_angles, euler_angles.dtype) + + if euler_angles.dim() == 0 or euler_angles.shape[-1] != 3: + raise ValueError("Invalid input euler angles.") + if len(convention) != 3: + raise ValueError("Convention must have 3 letters.") + if convention[1] in (convention[0], convention[2]): + raise ValueError(f"Invalid convention {convention}.") + for letter in convention: + if letter not in ("X", "Y", "Z"): + raise ValueError(f"Invalid letter {letter} in convention string.") + matrices = [ + _axis_angle_rotation(c, e) + for c, e in zip(convention, torch.unbind(euler_angles, -1)) + ] + + return torch.matmul(torch.matmul(matrices[0], matrices[1]), matrices[2]) + + +@torch.cuda.amp.autocast(enabled=False) +def convert_poses(poses): + # poses: [B, 4, 4] + # return [B, 3], 4 rot, 3 trans + out = torch.empty(poses.shape[0], 6, dtype=torch.float32, device=poses.device) + out[:, :3] = matrix_to_euler_angles(poses[:, :3, :3]) + out[:, 3:] = poses[:, :3, 3] + return out + +@torch.cuda.amp.autocast(enabled=False) +def get_bg_coords(H, W, device): + X = torch.arange(H, device=device) / (H - 1) * 2 - 1 # in [-1, 1] + Y = torch.arange(W, device=device) / (W - 1) * 2 - 1 # in [-1, 1] + xs, ys = custom_meshgrid(X, Y) + bg_coords = torch.cat([xs.reshape(-1, 1), ys.reshape(-1, 1)], dim=-1).unsqueeze(0) # [1, H*W, 2], in [-1, 1] + return bg_coords + + +@torch.cuda.amp.autocast(enabled=False) +def get_rays(poses, intrinsics, H, W, N=-1, patch_size=1, rect=None): + ''' get rays + Args: + poses: [B, 4, 4], cam2world + intrinsics: [4] + H, W, N: int + Returns: + rays_o, rays_d: [B, N, 3] + inds: [B, N] + ''' + + device = poses.device + B = poses.shape[0] + fx, fy, cx, cy = intrinsics + + if rect is not None: + xmin, xmax, ymin, ymax = rect + N = (xmax - xmin) * (ymax - ymin) + + i, j = custom_meshgrid(torch.linspace(0, W-1, W, device=device), torch.linspace(0, H-1, H, device=device)) # float + i = i.t().reshape([1, H*W]).expand([B, H*W]) + 0.5 + j = j.t().reshape([1, H*W]).expand([B, H*W]) + 0.5 + + results = {} + + if N > 0: + N = min(N, H*W) + + if patch_size > 1: + + # random sample left-top cores. + # NOTE: this impl will lead to less sampling on the image corner pixels... but I don't have other ideas. + num_patch = N // (patch_size ** 2) + inds_x = torch.randint(0, H - patch_size, size=[num_patch], device=device) + inds_y = torch.randint(0, W - patch_size, size=[num_patch], device=device) + inds = torch.stack([inds_x, inds_y], dim=-1) # [np, 2] + + # create meshgrid for each patch + pi, pj = custom_meshgrid(torch.arange(patch_size, device=device), torch.arange(patch_size, device=device)) + offsets = torch.stack([pi.reshape(-1), pj.reshape(-1)], dim=-1) # [p^2, 2] + + inds = inds.unsqueeze(1) + offsets.unsqueeze(0) # [np, p^2, 2] + inds = inds.view(-1, 2) # [N, 2] + inds = inds[:, 0] * W + inds[:, 1] # [N], flatten + + inds = inds.expand([B, N]) + + # only get rays in the specified rect + elif rect is not None: + # assert B == 1 + mask = torch.zeros(H, W, dtype=torch.bool, device=device) + xmin, xmax, ymin, ymax = rect + mask[xmin:xmax, ymin:ymax] = 1 + inds = torch.where(mask.view(-1))[0] # [nzn] + inds = inds.unsqueeze(0) # [1, N] + + else: + inds = torch.randint(0, H*W, size=[N], device=device) # may duplicate + inds = inds.expand([B, N]) + + i = torch.gather(i, -1, inds) + j = torch.gather(j, -1, inds) + + + else: + inds = torch.arange(H*W, device=device).expand([B, H*W]) + + results['i'] = i + results['j'] = j + results['inds'] = inds + + zs = torch.ones_like(i) + xs = (i - cx) / fx * zs + ys = (j - cy) / fy * zs + directions = torch.stack((xs, ys, zs), dim=-1) + directions = directions / torch.norm(directions, dim=-1, keepdim=True) + + rays_d = directions @ poses[:, :3, :3].transpose(-1, -2) # (B, N, 3) + + rays_o = poses[..., :3, 3] # [B, 3] + rays_o = rays_o[..., None, :].expand_as(rays_d) # [B, N, 3] + + results['rays_o'] = rays_o + results['rays_d'] = rays_d + + return results + + +def seed_everything(seed): + random.seed(seed) + os.environ['PYTHONHASHSEED'] = str(seed) + np.random.seed(seed) + torch.manual_seed(seed) + torch.cuda.manual_seed(seed) + #torch.backends.cudnn.deterministic = True + #torch.backends.cudnn.benchmark = True + + +def torch_vis_2d(x, renormalize=False): + # x: [3, H, W] or [1, H, W] or [H, W] + import matplotlib.pyplot as plt + import numpy as np + import torch + + if isinstance(x, torch.Tensor): + if len(x.shape) == 3: + x = x.permute(1,2,0).squeeze() + x = x.detach().cpu().numpy() + + print(f'[torch_vis_2d] {x.shape}, {x.dtype}, {x.min()} ~ {x.max()}') + + x = x.astype(np.float32) + + # renormalize + if renormalize: + x = (x - x.min(axis=0, keepdims=True)) / (x.max(axis=0, keepdims=True) - x.min(axis=0, keepdims=True) + 1e-8) + + plt.imshow(x) + plt.show() + + +def extract_fields(bound_min, bound_max, resolution, query_func, S=128): + + X = torch.linspace(bound_min[0], bound_max[0], resolution).split(S) + Y = torch.linspace(bound_min[1], bound_max[1], resolution).split(S) + Z = torch.linspace(bound_min[2], bound_max[2], resolution).split(S) + + u = np.zeros([resolution, resolution, resolution], dtype=np.float32) + with torch.no_grad(): + for xi, xs in enumerate(X): + for yi, ys in enumerate(Y): + for zi, zs in enumerate(Z): + xx, yy, zz = custom_meshgrid(xs, ys, zs) + pts = torch.cat([xx.reshape(-1, 1), yy.reshape(-1, 1), zz.reshape(-1, 1)], dim=-1) # [S, 3] + val = query_func(pts).reshape(len(xs), len(ys), len(zs)).detach().cpu().numpy() # [S, 1] --> [x, y, z] + u[xi * S: xi * S + len(xs), yi * S: yi * S + len(ys), zi * S: zi * S + len(zs)] = val + return u + + +def extract_geometry(bound_min, bound_max, resolution, threshold, query_func): + #print('threshold: {}'.format(threshold)) + u = extract_fields(bound_min, bound_max, resolution, query_func) + + #print(u.shape, u.max(), u.min(), np.percentile(u, 50)) + + vertices, triangles = mcubes.marching_cubes(u, threshold) + + b_max_np = bound_max.detach().cpu().numpy() + b_min_np = bound_min.detach().cpu().numpy() + + vertices = vertices / (resolution - 1.0) * (b_max_np - b_min_np)[None, :] + b_min_np[None, :] + return vertices, triangles + + +class PSNRMeter: + def __init__(self): + self.V = 0 + self.N = 0 + + def clear(self): + self.V = 0 + self.N = 0 + + def prepare_inputs(self, *inputs): + outputs = [] + for i, inp in enumerate(inputs): + if torch.is_tensor(inp): + inp = inp.detach().cpu().numpy() + outputs.append(inp) + + return outputs + + def update(self, preds, truths): + preds, truths = self.prepare_inputs(preds, truths) # [B, N, 3] or [B, H, W, 3], range in [0, 1] + + # simplified since max_pixel_value is 1 here. + psnr = -10 * np.log10(np.mean((preds - truths) ** 2)) + + self.V += psnr + self.N += 1 + + def measure(self): + return self.V / self.N + + def write(self, writer, global_step, prefix=""): + writer.add_scalar(os.path.join(prefix, "PSNR"), self.measure(), global_step) + + def report(self): + return f'PSNR = {self.measure():.6f}' + +class LPIPSMeter: + def __init__(self, net='alex', device=None): + self.V = 0 + self.N = 0 + self.net = net + + self.device = device if device is not None else torch.device('cuda' if torch.cuda.is_available() else 'cpu') + self.fn = lpips.LPIPS(net=net).eval().to(self.device) + + def clear(self): + self.V = 0 + self.N = 0 + + def prepare_inputs(self, *inputs): + outputs = [] + for i, inp in enumerate(inputs): + inp = inp.permute(0, 3, 1, 2).contiguous() # [B, 3, H, W] + inp = inp.to(self.device) + outputs.append(inp) + return outputs + + def update(self, preds, truths): + preds, truths = self.prepare_inputs(preds, truths) # [B, H, W, 3] --> [B, 3, H, W], range in [0, 1] + v = self.fn(truths, preds, normalize=True).item() # normalize=True: [0, 1] to [-1, 1] + self.V += v + self.N += 1 + + def measure(self): + return self.V / self.N + + def write(self, writer, global_step, prefix=""): + writer.add_scalar(os.path.join(prefix, f"LPIPS ({self.net})"), self.measure(), global_step) + + def report(self): + return f'LPIPS ({self.net}) = {self.measure():.6f}' + + +class LMDMeter: + def __init__(self, backend='dlib', region='mouth'): + self.backend = backend + self.region = region # mouth or face + + if self.backend == 'dlib': + import dlib + + # load checkpoint manually + self.predictor_path = './shape_predictor_68_face_landmarks.dat' + if not os.path.exists(self.predictor_path): + raise FileNotFoundError('Please download dlib checkpoint from http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2') + + self.detector = dlib.get_frontal_face_detector() + self.predictor = dlib.shape_predictor(self.predictor_path) + + else: + + import face_alignment + try: + self.predictor = face_alignment.FaceAlignment(face_alignment.LandmarksType._2D, flip_input=False) + except: + self.predictor = face_alignment.FaceAlignment(face_alignment.LandmarksType.TWO_D, flip_input=False) + + self.V = 0 + self.N = 0 + + def get_landmarks(self, img): + + if self.backend == 'dlib': + dets = self.detector(img, 1) + for det in dets: + shape = self.predictor(img, det) + # ref: https://github.com/PyImageSearch/imutils/blob/c12f15391fcc945d0d644b85194b8c044a392e0a/imutils/face_utils/helpers.py + lms = np.zeros((68, 2), dtype=np.int32) + for i in range(0, 68): + lms[i, 0] = shape.part(i).x + lms[i, 1] = shape.part(i).y + break + + else: + lms = self.predictor.get_landmarks(img)[-1] + + # self.vis_landmarks(img, lms) + lms = lms.astype(np.float32) + + return lms + + def vis_landmarks(self, img, lms): + plt.imshow(img) + plt.plot(lms[48:68, 0], lms[48:68, 1], marker='o', markersize=1, linestyle='-', lw=2) + plt.show() + + def clear(self): + self.V = 0 + self.N = 0 + + def prepare_inputs(self, *inputs): + outputs = [] + for i, inp in enumerate(inputs): + inp = inp.detach().cpu().numpy() + inp = (inp * 255).astype(np.uint8) + outputs.append(inp) + return outputs + + def update(self, preds, truths): + # assert B == 1 + preds, truths = self.prepare_inputs(preds[0], truths[0]) # [H, W, 3] numpy array + + # get lms + lms_pred = self.get_landmarks(preds) + lms_truth = self.get_landmarks(truths) + + if self.region == 'mouth': + lms_pred = lms_pred[48:68] + lms_truth = lms_truth[48:68] + + # avarage + lms_pred = lms_pred - lms_pred.mean(0) + lms_truth = lms_truth - lms_truth.mean(0) + + # distance + dist = np.sqrt(((lms_pred - lms_truth) ** 2).sum(1)).mean(0) + + self.V += dist + self.N += 1 + + def measure(self): + return self.V / self.N + + def write(self, writer, global_step, prefix=""): + writer.add_scalar(os.path.join(prefix, f"LMD ({self.backend})"), self.measure(), global_step) + + def report(self): + return f'LMD ({self.backend}) = {self.measure():.6f}' + + +class Trainer(object): + def __init__(self, + name, # name of this experiment + opt, # extra conf + model, # network + criterion=None, # loss function, if None, assume inline implementation in train_step + optimizer=None, # optimizer + ema_decay=None, # if use EMA, set the decay + ema_update_interval=1000, # update ema per $ training steps. + lr_scheduler=None, # scheduler + metrics=[], # metrics for evaluation, if None, use val_loss to measure performance, else use the first metric. + local_rank=0, # which GPU am I + world_size=1, # total num of GPUs + device=None, # device to use, usually setting to None is OK. (auto choose device) + mute=False, # whether to mute all print + fp16=False, # amp optimize level + eval_interval=1, # eval once every $ epoch + max_keep_ckpt=2, # max num of saved ckpts in disk + workspace='workspace', # workspace to save logs & ckpts + best_mode='min', # the smaller/larger result, the better + use_loss_as_metric=True, # use loss as the first metric + report_metric_at_train=False, # also report metrics at training + use_checkpoint="latest", # which ckpt to use at init time + use_tensorboardX=True, # whether to use tensorboard for logging + scheduler_update_every_step=False, # whether to call scheduler.step() after every train step + ): + + self.name = name + self.opt = opt + self.mute = mute + self.metrics = metrics + self.local_rank = local_rank + self.world_size = world_size + self.workspace = workspace + self.ema_decay = ema_decay + self.ema_update_interval = ema_update_interval + self.fp16 = fp16 + self.best_mode = best_mode + self.use_loss_as_metric = use_loss_as_metric + self.report_metric_at_train = report_metric_at_train + self.max_keep_ckpt = max_keep_ckpt + self.eval_interval = eval_interval + self.use_checkpoint = use_checkpoint + self.use_tensorboardX = use_tensorboardX + self.flip_finetune_lips = self.opt.finetune_lips + self.flip_init_lips = self.opt.init_lips + self.time_stamp = time.strftime("%Y-%m-%d_%H-%M-%S") + self.scheduler_update_every_step = scheduler_update_every_step + self.device = device if device is not None else torch.device(f'cuda:{local_rank}' if torch.cuda.is_available() else 'cpu') + self.console = Console() + + model.to(self.device) + if self.world_size > 1: + model = torch.nn.SyncBatchNorm.convert_sync_batchnorm(model) + model = torch.nn.parallel.DistributedDataParallel(model, device_ids=[local_rank]) + self.model = model + + if isinstance(criterion, nn.Module): + criterion.to(self.device) + self.criterion = criterion + + if optimizer is None: + self.optimizer = optim.Adam(self.model.parameters(), lr=0.001, weight_decay=5e-4) # naive adam + else: + self.optimizer = optimizer(self.model) + + if lr_scheduler is None: + self.lr_scheduler = optim.lr_scheduler.LambdaLR(self.optimizer, lr_lambda=lambda epoch: 1) # fake scheduler + else: + self.lr_scheduler = lr_scheduler(self.optimizer) + + if ema_decay is not None: + self.ema = ExponentialMovingAverage(self.model.parameters(), decay=ema_decay) + else: + self.ema = None + + self.scaler = torch.cuda.amp.GradScaler(enabled=self.fp16) + + # optionally use LPIPS loss for patch-based training + if self.opt.patch_size > 1 or self.opt.finetune_lips or True: + import lpips + # self.criterion_lpips_vgg = lpips.LPIPS(net='vgg').to(self.device) + self.criterion_lpips_alex = lpips.LPIPS(net='alex').to(self.device) + + # variable init + self.epoch = 0 + self.global_step = 0 + self.local_step = 0 + self.stats = { + "loss": [], + "valid_loss": [], + "results": [], # metrics[0], or valid_loss + "checkpoints": [], # record path of saved ckpt, to automatically remove old ckpt + "best_result": None, + } + + # auto fix + if len(metrics) == 0 or self.use_loss_as_metric: + self.best_mode = 'min' + + # workspace prepare + self.log_ptr = None + if self.workspace is not None: + os.makedirs(self.workspace, exist_ok=True) + self.log_path = os.path.join(workspace, f"log_{self.name}.txt") + self.log_ptr = open(self.log_path, "a+") + + self.ckpt_path = os.path.join(self.workspace, 'checkpoints') + self.best_path = f"{self.ckpt_path}/{self.name}.pth" + os.makedirs(self.ckpt_path, exist_ok=True) + + self.log(f'[INFO] Trainer: {self.name} | {self.time_stamp} | {self.device} | {"fp16" if self.fp16 else "fp32"} | {self.workspace}') + self.log(f'[INFO] #parameters: {sum([p.numel() for p in model.parameters() if p.requires_grad])}') + + if self.workspace is not None: + if self.use_checkpoint == "scratch": + self.log("[INFO] Training from scratch ...") + elif self.use_checkpoint == "latest": + self.log("[INFO] Loading latest checkpoint ...") + self.load_checkpoint() + elif self.use_checkpoint == "latest_model": + self.log("[INFO] Loading latest checkpoint (model only)...") + self.load_checkpoint(model_only=True) + elif self.use_checkpoint == "best": + if os.path.exists(self.best_path): + self.log("[INFO] Loading best checkpoint ...") + self.load_checkpoint(self.best_path) + else: + self.log(f"[INFO] {self.best_path} not found, loading latest ...") + self.load_checkpoint() + else: # path to ckpt + self.log(f"[INFO] Loading {self.use_checkpoint} ...") + self.load_checkpoint(self.use_checkpoint) + + def __del__(self): + if self.log_ptr: + self.log_ptr.close() + + + def log(self, *args, **kwargs): + if self.local_rank == 0: + if not self.mute: + #print(*args) + self.console.print(*args, **kwargs) + if self.log_ptr: + print(*args, file=self.log_ptr) + self.log_ptr.flush() # write immediately to file + + ### ------------------------------ + + def train_step(self, data): + + rays_o = data['rays_o'] # [B, N, 3] + rays_d = data['rays_d'] # [B, N, 3] + bg_coords = data['bg_coords'] # [1, N, 2] + poses = data['poses'] # [B, 6] + face_mask = data['face_mask'] # [B, N] + eye_mask = data['eye_mask'] # [B, N] + lhalf_mask = data['lhalf_mask'] + eye = data['eye'] # [B, 1] + auds = data['auds'] # [B, 29, 16] + index = data['index'] # [B] + + if not self.opt.torso: + rgb = data['images'] # [B, N, 3] + else: + rgb = data['bg_torso_color'] + + B, N, C = rgb.shape + + if self.opt.color_space == 'linear': + rgb[..., :3] = srgb_to_linear(rgb[..., :3]) + + bg_color = data['bg_color'] + + if not self.opt.torso: + outputs = self.model.render(rays_o, rays_d, auds, bg_coords, poses, eye=eye, index=index, staged=False, bg_color=bg_color, perturb=True, force_all_rays=False if (self.opt.patch_size <= 1 and not self.opt.train_camera) else True, **vars(self.opt)) + else: + outputs = self.model.render_torso(rays_o, rays_d, auds, bg_coords, poses, eye=eye, index=index, staged=False, bg_color=bg_color, perturb=True, force_all_rays=False if (self.opt.patch_size <= 1 and not self.opt.train_camera) else True, **vars(self.opt)) + + if not self.opt.torso: + pred_rgb = outputs['image'] + else: + pred_rgb = outputs['torso_color'] + + + # loss factor + step_factor = min(self.global_step / self.opt.iters, 1.0) + + # MSE loss + loss = self.criterion(pred_rgb, rgb).mean(-1) # [B, N, 3] --> [B, N] + + if self.opt.torso: + loss = loss.mean() + loss += ((1 - self.model.anchor_points[:, 3])**2).mean() + return pred_rgb, rgb, loss + + # camera optim regularization + # if self.opt.train_camera: + # cam_reg = self.model.camera_dR[index].abs().mean() + self.model.camera_dT[index].abs().mean() + # loss = loss + 1e-2 * cam_reg + + if self.opt.unc_loss and not self.flip_finetune_lips: + alpha = 0.2 + uncertainty = outputs['uncertainty'] # [N], abs sum + beta = uncertainty + 1 + + unc_weight = F.softmax(uncertainty, dim=-1) * N + # print(unc_weight.shape, unc_weight.max(), unc_weight.min()) + loss *= alpha + (1-alpha)*((1 - step_factor) + step_factor * unc_weight.detach()).clamp(0, 10) + # loss *= unc_weight.detach() + + beta = uncertainty + 1 + norm_rgb = torch.norm((pred_rgb - rgb), dim=-1).detach() + loss_u = norm_rgb / (2*beta**2) + (torch.log(beta)**2) / 2 + loss_u *= face_mask.view(-1) + loss += step_factor * loss_u + + loss_static_uncertainty = (uncertainty * (~face_mask.view(-1))) + loss += 1e-3 * step_factor * loss_static_uncertainty + + # patch-based rendering + if self.opt.patch_size > 1 and not self.opt.finetune_lips: + rgb = rgb.view(-1, self.opt.patch_size, self.opt.patch_size, 3).permute(0, 3, 1, 2).contiguous() * 2 - 1 + pred_rgb = pred_rgb.view(-1, self.opt.patch_size, self.opt.patch_size, 3).permute(0, 3, 1, 2).contiguous() * 2 - 1 + + # torch_vis_2d(rgb[0]) + # torch_vis_2d(pred_rgb[0]) + + # LPIPS loss ? + loss_lpips = self.criterion_lpips_alex(pred_rgb, rgb) + loss = loss + 0.1 * loss_lpips + + # lips finetune + if self.opt.finetune_lips: + xmin, xmax, ymin, ymax = data['rect'] + rgb = rgb.view(-1, xmax - xmin, ymax - ymin, 3).permute(0, 3, 1, 2).contiguous() * 2 - 1 + pred_rgb = pred_rgb.view(-1, xmax - xmin, ymax - ymin, 3).permute(0, 3, 1, 2).contiguous() * 2 - 1 + + padding_h = max(0, (32 - rgb.shape[-2] + 1) // 2) + padding_w = max(0, (32 - rgb.shape[-1] + 1) // 2) + + if padding_w or padding_h: + rgb = torch.nn.functional.pad(rgb, (padding_w, padding_w, padding_h, padding_h)) + pred_rgb = torch.nn.functional.pad(pred_rgb, (padding_w, padding_w, padding_h, padding_h)) + + # torch_vis_2d(rgb[0]) + # torch_vis_2d(pred_rgb[0]) + + # LPIPS loss + loss = loss + 0.01 * self.criterion_lpips_alex(pred_rgb, rgb) + + # flip every step... if finetune lips + if self.flip_finetune_lips: + self.opt.finetune_lips = not self.opt.finetune_lips + + loss = loss.mean() + + # weights_sum loss + # entropy to encourage weights_sum to be 0 or 1. + if self.opt.torso: + alphas = outputs['torso_alpha'].clamp(1e-5, 1 - 1e-5) + # alphas = alphas ** 2 # skewed entropy, favors 0 over 1 + loss_ws = - alphas * torch.log2(alphas) - (1 - alphas) * torch.log2(1 - alphas) + loss = loss + 1e-4 * loss_ws.mean() + + else: + alphas = outputs['weights_sum'].clamp(1e-5, 1 - 1e-5) + loss_ws = - alphas * torch.log2(alphas) - (1 - alphas) * torch.log2(1 - alphas) + loss = loss + 1e-4 * loss_ws.mean() + + # aud att loss (regions out of face should be static) + if self.opt.amb_aud_loss and not self.opt.torso: + ambient_aud = outputs['ambient_aud'] + loss_amb_aud = (ambient_aud * (~face_mask.view(-1))).mean() + # gradually increase it + lambda_amb = step_factor * self.opt.lambda_amb + loss += lambda_amb * loss_amb_aud + + # eye att loss + if self.opt.amb_eye_loss and not self.opt.torso: + ambient_eye = outputs['ambient_eye'] / self.opt.max_steps + + loss_cross = ((ambient_eye * ambient_aud.detach())*face_mask.view(-1)).mean() + loss += lambda_amb * loss_cross + + # regularize + if self.global_step % 16 == 0 and not self.flip_finetune_lips: + xyzs, dirs, enc_a, ind_code, eye = outputs['rays'] + xyz_delta = (torch.rand(size=xyzs.shape, dtype=xyzs.dtype, device=xyzs.device) * 2 - 1) * 1e-3 + with torch.no_grad(): + sigmas_raw, rgbs_raw, ambient_aud_raw, ambient_eye_raw, unc_raw = self.model(xyzs, dirs, enc_a.detach(), ind_code.detach(), eye) + sigmas_reg, rgbs_reg, ambient_aud_reg, ambient_eye_reg, unc_reg = self.model(xyzs+xyz_delta, dirs, enc_a.detach(), ind_code.detach(), eye) + + lambda_reg = step_factor * 1e-5 + reg_loss = 0 + if self.opt.unc_loss: + reg_loss += self.criterion(unc_raw, unc_reg).mean() + if self.opt.amb_aud_loss: + reg_loss += self.criterion(ambient_aud_raw, ambient_aud_reg).mean() + if self.opt.amb_eye_loss: + reg_loss += self.criterion(ambient_eye_raw, ambient_eye_reg).mean() + + loss += reg_loss * lambda_reg + + return pred_rgb, rgb, loss + + + def eval_step(self, data): + + rays_o = data['rays_o'] # [B, N, 3] + rays_d = data['rays_d'] # [B, N, 3] + bg_coords = data['bg_coords'] # [1, N, 2] + poses = data['poses'] # [B, 7] + + images = data['images'] # [B, H, W, 3/4] + auds = data['auds'] + index = data['index'] # [B] + eye = data['eye'] # [B, 1] + + B, H, W, C = images.shape + + if self.opt.color_space == 'linear': + images[..., :3] = srgb_to_linear(images[..., :3]) + + # eval with fixed background color + # bg_color = 1 + bg_color = data['bg_color'] + + outputs = self.model.render(rays_o, rays_d, auds, bg_coords, poses, eye=eye, index=index, staged=True, bg_color=bg_color, perturb=False, **vars(self.opt)) + + pred_rgb = outputs['image'].reshape(B, H, W, 3) + pred_depth = outputs['depth'].reshape(B, H, W) + pred_ambient_aud = outputs['ambient_aud'].reshape(B, H, W) + pred_ambient_eye = outputs['ambient_eye'].reshape(B, H, W) + pred_uncertainty = outputs['uncertainty'].reshape(B, H, W) + + loss_raw = self.criterion(pred_rgb, images) + loss = loss_raw.mean() + + return pred_rgb, pred_depth, pred_ambient_aud, pred_ambient_eye, pred_uncertainty, images, loss, loss_raw + + # moved out bg_color and perturb for more flexible control... + def test_step(self, data, bg_color=None, perturb=False): + + rays_o = data['rays_o'] # [B, N, 3] + rays_d = data['rays_d'] # [B, N, 3] + bg_coords = data['bg_coords'] # [1, N, 2] + poses = data['poses'] # [B, 7] + + auds = data['auds'] # [B, 29, 16] + index = data['index'] + H, W = data['H'], data['W'] + + # allow using a fixed eye area (avoid eye blink) at test + if self.opt.exp_eye and self.opt.fix_eye >= 0: + eye = torch.FloatTensor([self.opt.fix_eye]).view(1, 1).to(self.device) + else: + eye = data['eye'] # [B, 1] + + if bg_color is not None: + bg_color = bg_color.to(self.device) + else: + bg_color = data['bg_color'] + + self.model.testing = True + outputs = self.model.render(rays_o, rays_d, auds, bg_coords, poses, eye=eye, index=index, staged=True, bg_color=bg_color, perturb=perturb, **vars(self.opt)) + self.model.testing = False + + pred_rgb = outputs['image'].reshape(-1, H, W, 3) + pred_depth = outputs['depth'].reshape(-1, H, W) + + return pred_rgb, pred_depth + + + def save_mesh(self, save_path=None, resolution=256, threshold=10): + + if save_path is None: + save_path = os.path.join(self.workspace, 'meshes', f'{self.name}_{self.epoch}.ply') + + self.log(f"==> Saving mesh to {save_path}") + + os.makedirs(os.path.dirname(save_path), exist_ok=True) + + def query_func(pts): + with torch.no_grad(): + with torch.cuda.amp.autocast(enabled=self.fp16): + sigma = self.model.density(pts.to(self.device))['sigma'] + return sigma + + vertices, triangles = extract_geometry(self.model.aabb_infer[:3], self.model.aabb_infer[3:], resolution=resolution, threshold=threshold, query_func=query_func) + + mesh = trimesh.Trimesh(vertices, triangles, process=False) # important, process=True leads to seg fault... + mesh.export(save_path) + + self.log(f"==> Finished saving mesh.") + + ### ------------------------------ + + def train(self, train_loader, valid_loader, max_epochs): + if self.use_tensorboardX and self.local_rank == 0: + self.writer = tensorboardX.SummaryWriter(os.path.join(self.workspace, "run", self.name)) + + # mark untrained region (i.e., not covered by any camera from the training dataset) + if self.model.cuda_ray: + self.model.mark_untrained_grid(train_loader._data.poses, train_loader._data.intrinsics) + + for epoch in range(self.epoch + 1, max_epochs + 1): + self.epoch = epoch + + self.train_one_epoch(train_loader) + + if self.workspace is not None and self.local_rank == 0: + self.save_checkpoint(full=True, best=False) + + if self.epoch % self.eval_interval == 0: + self.evaluate_one_epoch(valid_loader) + self.save_checkpoint(full=False, best=True) + + if self.use_tensorboardX and self.local_rank == 0: + self.writer.close() + + def evaluate(self, loader, name=None): + self.use_tensorboardX, use_tensorboardX = False, self.use_tensorboardX + self.evaluate_one_epoch(loader, name) + self.use_tensorboardX = use_tensorboardX + + def test(self, loader, save_path=None, name=None, write_image=False): + + if save_path is None: + save_path = os.path.join(self.workspace, 'results') + + if name is None: + name = f'{self.name}_ep{self.epoch:04d}' + + os.makedirs(save_path, exist_ok=True) + + self.log(f"==> Start Test, save results to {save_path}") + + pbar = tqdm.tqdm(total=len(loader) * loader.batch_size, bar_format='{percentage:3.0f}% {n_fmt}/{total_fmt} [{elapsed}<{remaining}, {rate_fmt}]') + self.model.eval() + + all_preds = [] + all_preds_depth = [] + + with torch.no_grad(): + + for i, data in enumerate(loader): + + with torch.cuda.amp.autocast(enabled=self.fp16): + preds, preds_depth = self.test_step(data) + + path = os.path.join(save_path, f'{name}_{i:04d}_rgb.png') + path_depth = os.path.join(save_path, f'{name}_{i:04d}_depth.png') + + #self.log(f"[INFO] saving test image to {path}") + + if self.opt.color_space == 'linear': + preds = linear_to_srgb(preds) + + pred = preds[0].detach().cpu().numpy() + pred = (pred * 255).astype(np.uint8) + + pred_depth = preds_depth[0].detach().cpu().numpy() + pred_depth = (pred_depth * 255).astype(np.uint8) + + if write_image: + imageio.imwrite(path, pred) + imageio.imwrite(path_depth, pred_depth) + + all_preds.append(pred) + all_preds_depth.append(pred_depth) + + pbar.update(loader.batch_size) + + # write video + all_preds = np.stack(all_preds, axis=0) + all_preds_depth = np.stack(all_preds_depth, axis=0) + imageio.mimwrite(os.path.join(save_path, f'{name}.mp4'), all_preds, fps=25, quality=8, macro_block_size=1) + imageio.mimwrite(os.path.join(save_path, f'{name}_depth.mp4'), all_preds_depth, fps=25, quality=8, macro_block_size=1) + # imageio.mimwrite(os.path.join(save_path, f'{name}_depth.mp4'), all_preds_depth, fps=25, quality=8, macro_block_size=1) + # print('-'*100. self.opt.aud) + if self.opt.aud != '': + # print(f'ffmpeg -i {os.path.join(save_path, f"{name}.mp4")} -i {self.opt.aud} -strict -2 {os.path.join(save_path, f"{name}_audio.mp4")} -y') + os.system(f'ffmpeg -i {os.path.join(save_path, f"{name}.mp4")} -i {self.opt.aud} -strict -2 {os.path.join(save_path, f"{name}_audio.mp4")} -y') + + self.log(f"==> Finished Test.") + + # [GUI] just train for 16 steps, without any other overhead that may slow down rendering. + def train_gui(self, train_loader, step=16): + + self.model.train() + + total_loss = torch.tensor([0], dtype=torch.float32, device=self.device) + + loader = iter(train_loader) + + # mark untrained grid + if self.global_step == 0: + self.model.mark_untrained_grid(train_loader._data.poses, train_loader._data.intrinsics) + + for _ in range(step): + + # mimic an infinite loop dataloader (in case the total dataset is smaller than step) + try: + data = next(loader) + except StopIteration: + loader = iter(train_loader) + data = next(loader) + + # update grid every 16 steps + if self.model.cuda_ray and self.global_step % self.opt.update_extra_interval == 0: + with torch.cuda.amp.autocast(enabled=self.fp16): + self.model.update_extra_state() + + self.global_step += 1 + + self.optimizer.zero_grad() + + with torch.cuda.amp.autocast(enabled=self.fp16): + preds, truths, loss = self.train_step(data) + + self.scaler.scale(loss).backward() + self.scaler.step(self.optimizer) + self.scaler.update() + + if self.scheduler_update_every_step: + self.lr_scheduler.step() + + total_loss += loss.detach() + + if self.ema is not None and self.global_step % self.ema_update_interval == 0: + self.ema.update() + + average_loss = total_loss.item() / step + + if not self.scheduler_update_every_step: + if isinstance(self.lr_scheduler, torch.optim.lr_scheduler.ReduceLROnPlateau): + self.lr_scheduler.step(average_loss) + else: + self.lr_scheduler.step() + + outputs = { + 'loss': average_loss, + 'lr': self.optimizer.param_groups[0]['lr'], + } + + return outputs + + # [GUI] test on a single image + def test_gui(self, pose, intrinsics, W, H, auds, eye=None, index=0, bg_color=None, spp=1, downscale=1): + + # render resolution (may need downscale to for better frame rate) + rH = int(H * downscale) + rW = int(W * downscale) + intrinsics = intrinsics * downscale + + if auds is not None: + auds = auds.to(self.device) + + pose = torch.from_numpy(pose).unsqueeze(0).to(self.device) + rays = get_rays(pose, intrinsics, rH, rW, -1) + + bg_coords = get_bg_coords(rH, rW, self.device) + + if eye is not None: + eye = torch.FloatTensor([eye]).view(1, 1).to(self.device) + + data = { + 'rays_o': rays['rays_o'], + 'rays_d': rays['rays_d'], + 'H': rH, + 'W': rW, + 'auds': auds, + 'index': [index], # support choosing index for individual codes + 'eye': eye, + 'poses': pose, + 'bg_coords': bg_coords, + } + + self.model.eval() + + if self.ema is not None: + self.ema.store() + self.ema.copy_to() + + with torch.no_grad(): + with torch.cuda.amp.autocast(enabled=self.fp16): + # here spp is used as perturb random seed! + # face: do not perturb for the first spp, else lead to scatters. + preds, preds_depth = self.test_step(data, bg_color=bg_color, perturb=False if spp == 1 else spp) + + if self.ema is not None: + self.ema.restore() + + # interpolation to the original resolution + if downscale != 1: + # TODO: have to permute twice with torch... + preds = F.interpolate(preds.permute(0, 3, 1, 2), size=(H, W), mode='bilinear').permute(0, 2, 3, 1).contiguous() + preds_depth = F.interpolate(preds_depth.unsqueeze(1), size=(H, W), mode='nearest').squeeze(1) + + if self.opt.color_space == 'linear': + preds = linear_to_srgb(preds) + + pred = preds[0].detach().cpu().numpy() + pred_depth = preds_depth[0].detach().cpu().numpy() + + outputs = { + 'image': pred, + 'depth': pred_depth, + } + + return outputs + + # [GUI] test with provided data + def test_gui_with_data(self, data, W, H): + + self.model.eval() + + if self.ema is not None: + self.ema.store() + self.ema.copy_to() + + with torch.no_grad(): + with torch.cuda.amp.autocast(enabled=self.fp16): + # here spp is used as perturb random seed! + # face: do not perturb for the first spp, else lead to scatters. + preds, preds_depth = self.test_step(data, perturb=False) + + if self.ema is not None: + self.ema.restore() + + if self.opt.color_space == 'linear': + preds = linear_to_srgb(preds) + + # the H/W in data may be differnt to GUI, so we still need to resize... + preds = F.interpolate(preds.permute(0, 3, 1, 2), size=(H, W), mode='bilinear').permute(0, 2, 3, 1).contiguous() + preds_depth = F.interpolate(preds_depth.unsqueeze(1), size=(H, W), mode='nearest').squeeze(1) + + pred = preds[0].detach().cpu().numpy() + pred_depth = preds_depth[0].detach().cpu().numpy() + + outputs = { + 'image': pred, + 'depth': pred_depth, + } + + return outputs + + def train_one_epoch(self, loader): + self.log(f"==> Start Training Epoch {self.epoch}, lr={self.optimizer.param_groups[0]['lr']:.6f} ...") + + total_loss = 0 + if self.local_rank == 0 and self.report_metric_at_train: + for metric in self.metrics: + metric.clear() + + self.model.train() + + # distributedSampler: must call set_epoch() to shuffle indices across multiple epochs + # ref: https://pytorch.org/docs/stable/data.html + if self.world_size > 1: + loader.sampler.set_epoch(self.epoch) + + if self.local_rank == 0: + pbar = tqdm.tqdm(total=len(loader) * loader.batch_size, mininterval=1, bar_format='{desc}: {percentage:3.0f}% {n_fmt}/{total_fmt} [{elapsed}<{remaining}, {rate_fmt}]') + + self.local_step = 0 + + for data in loader: + # update grid every 16 steps + if self.model.cuda_ray and self.global_step % self.opt.update_extra_interval == 0: + with torch.cuda.amp.autocast(enabled=self.fp16): + self.model.update_extra_state() + + self.local_step += 1 + self.global_step += 1 + + self.optimizer.zero_grad() + + with torch.cuda.amp.autocast(enabled=self.fp16): + preds, truths, loss = self.train_step(data) + + self.scaler.scale(loss).backward() + self.scaler.step(self.optimizer) + self.scaler.update() + + if self.scheduler_update_every_step: + self.lr_scheduler.step() + + loss_val = loss.item() + total_loss += loss_val + + if self.ema is not None and self.global_step % self.ema_update_interval == 0: + self.ema.update() + + if self.local_rank == 0: + if self.report_metric_at_train: + for metric in self.metrics: + metric.update(preds, truths) + + if self.use_tensorboardX: + self.writer.add_scalar("train/loss", loss_val, self.global_step) + self.writer.add_scalar("train/lr", self.optimizer.param_groups[0]['lr'], self.global_step) + + if self.scheduler_update_every_step: + pbar.set_description(f"loss={loss_val:.4f} ({total_loss/self.local_step:.4f}), lr={self.optimizer.param_groups[0]['lr']:.6f}") + else: + pbar.set_description(f"loss={loss_val:.4f} ({total_loss/self.local_step:.4f})") + pbar.update(loader.batch_size) + + average_loss = total_loss / self.local_step + self.stats["loss"].append(average_loss) + + if self.local_rank == 0: + pbar.close() + if self.report_metric_at_train: + for metric in self.metrics: + self.log(metric.report(), style="red") + if self.use_tensorboardX: + metric.write(self.writer, self.epoch, prefix="train") + metric.clear() + + if not self.scheduler_update_every_step: + if isinstance(self.lr_scheduler, torch.optim.lr_scheduler.ReduceLROnPlateau): + self.lr_scheduler.step(average_loss) + else: + self.lr_scheduler.step() + + self.log(f"==> Finished Epoch {self.epoch}.") + + + def evaluate_one_epoch(self, loader, name=None): + self.log(f"++> Evaluate at epoch {self.epoch} ...") + + if name is None: + name = f'{self.name}_ep{self.epoch:04d}' + + total_loss = 0 + if self.local_rank == 0: + for metric in self.metrics: + metric.clear() + + self.model.eval() + + if self.ema is not None: + self.ema.store() + self.ema.copy_to() + + if self.local_rank == 0: + pbar = tqdm.tqdm(total=len(loader) * loader.batch_size, bar_format='{desc}: {percentage:3.0f}% {n_fmt}/{total_fmt} [{elapsed}<{remaining}, {rate_fmt}]') + + with torch.no_grad(): + self.local_step = 0 + + for data in loader: + self.local_step += 1 + + with torch.cuda.amp.autocast(enabled=self.fp16): + preds, preds_depth, pred_ambient_aud, pred_ambient_eye, pred_uncertainty, truths, loss, loss_raw = self.eval_step(data) + + loss_val = loss.item() + total_loss += loss_val + + # only rank = 0 will perform evaluation. + if self.local_rank == 0: + + for metric in self.metrics: + metric.update(preds, truths) + + # save image + save_path = os.path.join(self.workspace, 'validation', f'{name}_{self.local_step:04d}_rgb.png') + save_path_depth = os.path.join(self.workspace, 'validation', f'{name}_{self.local_step:04d}_depth.png') + # save_path_error = os.path.join(self.workspace, 'validation', f'{name}_{self.local_step:04d}_errormap.png') + save_path_ambient_aud = os.path.join(self.workspace, 'validation', f'{name}_{self.local_step:04d}_aud.png') + save_path_ambient_eye = os.path.join(self.workspace, 'validation', f'{name}_{self.local_step:04d}_eye.png') + save_path_uncertainty = os.path.join(self.workspace, 'validation', f'{name}_{self.local_step:04d}_uncertainty.png') + #save_path_gt = os.path.join(self.workspace, 'validation', f'{name}_{self.local_step:04d}_gt.png') + + #self.log(f"==> Saving validation image to {save_path}") + os.makedirs(os.path.dirname(save_path), exist_ok=True) + + if self.opt.color_space == 'linear': + preds = linear_to_srgb(preds) + + pred = preds[0].detach().cpu().numpy() + pred_depth = preds_depth[0].detach().cpu().numpy() + # loss_raw = loss_raw[0].mean(-1).detach().cpu().numpy() + # loss_raw = (loss_raw - np.min(loss_raw)) / (np.max(loss_raw) - np.min(loss_raw)) + pred_ambient_aud = pred_ambient_aud[0].detach().cpu().numpy() + pred_ambient_aud /= np.max(pred_ambient_aud) + pred_ambient_eye = pred_ambient_eye[0].detach().cpu().numpy() + pred_ambient_eye /= np.max(pred_ambient_eye) + # pred_ambient = pred_ambient / 16 + # print(pred_ambient.shape) + pred_uncertainty = pred_uncertainty[0].detach().cpu().numpy() + # pred_uncertainty = (pred_uncertainty - np.min(pred_uncertainty)) / (np.max(pred_uncertainty) - np.min(pred_uncertainty)) + pred_uncertainty /= np.max(pred_uncertainty) + + cv2.imwrite(save_path, cv2.cvtColor((pred * 255).astype(np.uint8), cv2.COLOR_RGB2BGR)) + + if not self.opt.torso: + cv2.imwrite(save_path_depth, (pred_depth * 255).astype(np.uint8)) + # cv2.imwrite(save_path_error, (loss_raw * 255).astype(np.uint8)) + cv2.imwrite(save_path_ambient_aud, (pred_ambient_aud * 255).astype(np.uint8)) + cv2.imwrite(save_path_ambient_eye, (pred_ambient_eye * 255).astype(np.uint8)) + cv2.imwrite(save_path_uncertainty, (pred_uncertainty * 255).astype(np.uint8)) + #cv2.imwrite(save_path_gt, cv2.cvtColor((linear_to_srgb(truths[0].detach().cpu().numpy()) * 255).astype(np.uint8), cv2.COLOR_RGB2BGR)) + + pbar.set_description(f"loss={loss_val:.4f} ({total_loss/self.local_step:.4f})") + pbar.update(loader.batch_size) + + + average_loss = total_loss / self.local_step + self.stats["valid_loss"].append(average_loss) + + if self.local_rank == 0: + pbar.close() + if not self.use_loss_as_metric and len(self.metrics) > 0: + result = self.metrics[0].measure() + self.stats["results"].append(result if self.best_mode == 'min' else - result) # if max mode, use -result + else: + self.stats["results"].append(average_loss) # if no metric, choose best by min loss + + for metric in self.metrics: + self.log(metric.report(), style="blue") + if self.use_tensorboardX: + metric.write(self.writer, self.epoch, prefix="evaluate") + metric.clear() + + if self.ema is not None: + self.ema.restore() + + self.log(f"++> Evaluate epoch {self.epoch} Finished.") + + def save_checkpoint(self, name=None, full=False, best=False, remove_old=True): + + if name is None: + name = f'{self.name}_ep{self.epoch:04d}' + + state = { + 'epoch': self.epoch, + 'global_step': self.global_step, + 'stats': self.stats, + } + + + state['mean_count'] = self.model.mean_count + state['mean_density'] = self.model.mean_density + state['mean_density_torso'] = self.model.mean_density_torso + + if full: + state['optimizer'] = self.optimizer.state_dict() + state['lr_scheduler'] = self.lr_scheduler.state_dict() + state['scaler'] = self.scaler.state_dict() + if self.ema is not None: + state['ema'] = self.ema.state_dict() + + if not best: + + state['model'] = self.model.state_dict() + + file_path = f"{self.ckpt_path}/{name}.pth" + + if remove_old: + self.stats["checkpoints"].append(file_path) + + if len(self.stats["checkpoints"]) > self.max_keep_ckpt: + old_ckpt = self.stats["checkpoints"].pop(0) + if os.path.exists(old_ckpt): + os.remove(old_ckpt) + + torch.save(state, file_path) + + else: + if len(self.stats["results"]) > 0: + # always save new as best... (since metric cannot really reflect performance...) + if True: + + # save ema results + if self.ema is not None: + self.ema.store() + self.ema.copy_to() + + state['model'] = self.model.state_dict() + + # we don't consider continued training from the best ckpt, so we discard the unneeded density_grid to save some storage (especially important for dnerf) + if 'density_grid' in state['model']: + del state['model']['density_grid'] + + if self.ema is not None: + self.ema.restore() + + torch.save(state, self.best_path) + else: + self.log(f"[WARN] no evaluated results found, skip saving best checkpoint.") + + def load_checkpoint(self, checkpoint=None, model_only=False): + if checkpoint is None: + checkpoint_list = sorted(glob.glob(f'{self.ckpt_path}/{self.name}_ep*.pth')) + if checkpoint_list: + checkpoint = checkpoint_list[-1] + self.log(f"[INFO] Latest checkpoint is {checkpoint}") + else: + self.log("[WARN] No checkpoint found, model randomly initialized.") + return + + checkpoint_dict = torch.load(checkpoint, map_location=self.device) + + if 'model' not in checkpoint_dict: + self.model.load_state_dict(checkpoint_dict) + self.log("[INFO] loaded bare model.") + return + + missing_keys, unexpected_keys = self.model.load_state_dict(checkpoint_dict['model'], strict=False) + self.log("[INFO] loaded model.") + if len(missing_keys) > 0: + self.log(f"[WARN] missing keys: {missing_keys}") + if len(unexpected_keys) > 0: + self.log(f"[WARN] unexpected keys: {unexpected_keys}") + + if self.ema is not None and 'ema' in checkpoint_dict: + self.ema.load_state_dict(checkpoint_dict['ema']) + + + if 'mean_count' in checkpoint_dict: + self.model.mean_count = checkpoint_dict['mean_count'] + if 'mean_density' in checkpoint_dict: + self.model.mean_density = checkpoint_dict['mean_density'] + if 'mean_density_torso' in checkpoint_dict: + self.model.mean_density_torso = checkpoint_dict['mean_density_torso'] + + if model_only: + return + + self.stats = checkpoint_dict['stats'] + self.epoch = checkpoint_dict['epoch'] + self.global_step = checkpoint_dict['global_step'] + self.log(f"[INFO] load at epoch {self.epoch}, global step {self.global_step}") + + if self.optimizer and 'optimizer' in checkpoint_dict: + try: + self.optimizer.load_state_dict(checkpoint_dict['optimizer']) + self.log("[INFO] loaded optimizer.") + except: + self.log("[WARN] Failed to load optimizer.") + + if self.lr_scheduler and 'lr_scheduler' in checkpoint_dict: + try: + self.lr_scheduler.load_state_dict(checkpoint_dict['lr_scheduler']) + self.log("[INFO] loaded scheduler.") + except: + self.log("[WARN] Failed to load scheduler.") + + if self.scaler and 'scaler' in checkpoint_dict: + try: + self.scaler.load_state_dict(checkpoint_dict['scaler']) + self.log("[INFO] loaded scaler.") + except: + self.log("[WARN] Failed to load scaler.") + +def load_wav(path, sr): + return librosa.core.load(path, sr=sr)[0] + + +def preemphasis(wav, k): + return signal.lfilter([1, -k], [1], wav) + + +def melspectrogram(wav): + D = _stft(preemphasis(wav, 0.97)) + S = _amp_to_db(_linear_to_mel(np.abs(D))) - 20 + + return _normalize(S) + + +def _stft(y): + return librosa.stft(y=y, n_fft=800, hop_length=200, win_length=800) + + +def _linear_to_mel(spectogram): + global _mel_basis + _mel_basis = _build_mel_basis() + return np.dot(_mel_basis, spectogram) + + +def _build_mel_basis(): + return librosa.filters.mel(sr=16000, n_fft=800, n_mels=80, fmin=55, fmax=7600) + + +def _amp_to_db(x): + min_level = np.exp(-5 * np.log(10)) + return 20 * np.log10(np.maximum(min_level, x)) + + +def _normalize(S): + return np.clip((2 * 4.) * ((S - -100) / (--100)) - 4., -4., 4.) + + +class AudDataset(object): + def __init__(self, wavpath): + wav = load_wav(wavpath, 16000) + + self.orig_mel = melspectrogram(wav).T + self.data_len = int((self.orig_mel.shape[0] - 16) / 80. * float(25)) + + def get_frame_id(self, frame): + return int(basename(frame).split('.')[0]) + + def crop_audio_window(self, spec, start_frame): + if type(start_frame) == int: + start_frame_num = start_frame + else: + start_frame_num = self.get_frame_id(start_frame) + start_idx = int(80. * (start_frame_num / float(25))) + + end_idx = start_idx + 16 + + return spec[start_idx: end_idx, :] + + def __len__(self): + return self.data_len + + def __getitem__(self, idx): + + mel = self.crop_audio_window(self.orig_mel.copy(), idx) + if (mel.shape[0] != 16): + raise Exception('mel.shape[0] != 16') + mel = torch.FloatTensor(mel.T).unsqueeze(0) + + return mel \ No newline at end of file diff --git a/NeRF/nerf_triplane/wav2vec.py b/NeRF/nerf_triplane/wav2vec.py new file mode 100644 index 0000000000000000000000000000000000000000..c684089acbe25e798106c4bc3a0f7d79bb63e7da --- /dev/null +++ b/NeRF/nerf_triplane/wav2vec.py @@ -0,0 +1,420 @@ +import time +import numpy as np +import torch +import torch.nn.functional as F +from transformers import AutoModelForCTC, AutoProcessor + +import pyaudio +import soundfile as sf +import resampy + +from queue import Queue +from threading import Thread, Event + + +def _read_frame(stream, exit_event, queue, chunk): + + while True: + if exit_event.is_set(): + print(f'[INFO] read frame thread ends') + break + frame = stream.read(chunk, exception_on_overflow=False) + frame = np.frombuffer(frame, dtype=np.int16).astype(np.float32) / 32767 # [chunk] + queue.put(frame) + +def _play_frame(stream, exit_event, queue, chunk): + + while True: + if exit_event.is_set(): + print(f'[INFO] play frame thread ends') + break + frame = queue.get() + frame = (frame * 32767).astype(np.int16).tobytes() + stream.write(frame, chunk) + +class ASR: + def __init__(self, opt): + + self.opt = opt + + self.play = opt.asr_play + + self.device = 'cuda' if torch.cuda.is_available() else 'cpu' + self.fps = opt.fps # 20 ms per frame + self.sample_rate = 16000 + self.chunk = self.sample_rate // self.fps # 320 samples per chunk (20ms * 16000 / 1000) + self.mode = 'live' if opt.asr_wav == '' else 'file' + + if 'esperanto' in self.opt.asr_model: + self.audio_dim = 44 + elif 'deepspeech' in self.opt.asr_model: + self.audio_dim = 29 + else: + self.audio_dim = 32 + + # prepare context cache + # each segment is (stride_left + ctx + stride_right) * 20ms, latency should be (ctx + stride_right) * 20ms + self.context_size = opt.m + self.stride_left_size = opt.l + self.stride_right_size = opt.r + self.text = '[START]\n' + self.terminated = False + self.frames = [] + + # pad left frames + if self.stride_left_size > 0: + self.frames.extend([np.zeros(self.chunk, dtype=np.float32)] * self.stride_left_size) + + + self.exit_event = Event() + self.audio_instance = pyaudio.PyAudio() + + # create input stream + if self.mode == 'file': + self.file_stream = self.create_file_stream() + else: + # start a background process to read frames + self.input_stream = self.audio_instance.open(format=pyaudio.paInt16, channels=1, rate=self.sample_rate, input=True, output=False, frames_per_buffer=self.chunk) + self.queue = Queue() + self.process_read_frame = Thread(target=_read_frame, args=(self.input_stream, self.exit_event, self.queue, self.chunk)) + + # play out the audio too...? + if self.play: + self.output_stream = self.audio_instance.open(format=pyaudio.paInt16, channels=1, rate=self.sample_rate, input=False, output=True, frames_per_buffer=self.chunk) + self.output_queue = Queue() + self.process_play_frame = Thread(target=_play_frame, args=(self.output_stream, self.exit_event, self.output_queue, self.chunk)) + + # current location of audio + self.idx = 0 + + # create wav2vec model + print(f'[INFO] loading ASR model {self.opt.asr_model}...') + self.processor = AutoProcessor.from_pretrained(opt.asr_model) + self.model = AutoModelForCTC.from_pretrained(opt.asr_model).to(self.device) + + # prepare to save logits + if self.opt.asr_save_feats: + self.all_feats = [] + + # the extracted features + # use a loop queue to efficiently record endless features: [f--t---][-------][-------] + self.feat_buffer_size = 4 + self.feat_buffer_idx = 0 + self.feat_queue = torch.zeros(self.feat_buffer_size * self.context_size, self.audio_dim, dtype=torch.float32, device=self.device) + + # TODO: hard coded 16 and 8 window size... + self.front = self.feat_buffer_size * self.context_size - 8 # fake padding + self.tail = 8 + # attention window... + self.att_feats = [torch.zeros(self.audio_dim, 16, dtype=torch.float32, device=self.device)] * 4 # 4 zero padding... + + # warm up steps needed: mid + right + window_size + attention_size + self.warm_up_steps = self.context_size + self.stride_right_size + 8 + 2 * 3 + + self.listening = False + self.playing = False + + def listen(self): + # start + if self.mode == 'live' and not self.listening: + print(f'[INFO] starting read frame thread...') + self.process_read_frame.start() + self.listening = True + + if self.play and not self.playing: + print(f'[INFO] starting play frame thread...') + self.process_play_frame.start() + self.playing = True + + def stop(self): + + self.exit_event.set() + + if self.play: + self.output_stream.stop_stream() + self.output_stream.close() + if self.playing: + self.process_play_frame.join() + self.playing = False + + if self.mode == 'live': + self.input_stream.stop_stream() + self.input_stream.close() + if self.listening: + self.process_read_frame.join() + self.listening = False + + + def __enter__(self): + return self + + def __exit__(self, exc_type, exc_value, traceback): + + self.stop() + + if self.mode == 'live': + # live mode: also print the result text. + self.text += '\n[END]' + print(self.text) + + def get_next_feat(self): + # return a [1/8, 16] window, for the next input to nerf side. + + while len(self.att_feats) < 8: + # [------f+++t-----] + if self.front < self.tail: + feat = self.feat_queue[self.front:self.tail] + # [++t-----------f+] + else: + feat = torch.cat([self.feat_queue[self.front:], self.feat_queue[:self.tail]], dim=0) + + self.front = (self.front + 2) % self.feat_queue.shape[0] + self.tail = (self.tail + 2) % self.feat_queue.shape[0] + + # print(self.front, self.tail, feat.shape) + + self.att_feats.append(feat.permute(1, 0)) + + att_feat = torch.stack(self.att_feats, dim=0) # [8, 44, 16] + + # discard old + self.att_feats = self.att_feats[1:] + + return att_feat + + def run_step(self): + + if self.terminated: + return + + # get a frame of audio + frame = self.get_audio_frame() + + # the last frame + if frame is None: + # terminate, but always run the network for the left frames + self.terminated = True + else: + self.frames.append(frame) + # put to output + if self.play: + self.output_queue.put(frame) + # context not enough, do not run network. + if len(self.frames) < self.stride_left_size + self.context_size + self.stride_right_size: + return + + inputs = np.concatenate(self.frames) # [N * chunk] + + # discard the old part to save memory + if not self.terminated: + self.frames = self.frames[-(self.stride_left_size + self.stride_right_size):] + + logits, labels, text = self.frame_to_text(inputs) + feats = logits # better lips-sync than labels + + # save feats + if self.opt.asr_save_feats: + self.all_feats.append(feats) + + # record the feats efficiently.. (no concat, constant memory) + if not self.terminated: + start = self.feat_buffer_idx * self.context_size + end = start + feats.shape[0] + self.feat_queue[start:end] = feats + self.feat_buffer_idx = (self.feat_buffer_idx + 1) % self.feat_buffer_size + + # very naive, just concat the text output. + if text != '': + self.text = self.text + ' ' + text + + # will only run once at ternimation + if self.terminated: + self.text += '\n[END]' + # print(self.text) + if self.opt.asr_save_feats: + print(f'[INFO] save all feats for training purpose... ') + feats = torch.cat(self.all_feats, dim=0) # [N, C] + # print('[INFO] before unfold', feats.shape) + window_size = 16 + padding = window_size // 2 + feats = feats.view(-1, self.audio_dim).permute(1, 0).contiguous() # [C, M] + feats = feats.view(1, self.audio_dim, -1, 1) # [1, C, M, 1] + unfold_feats = F.unfold(feats, kernel_size=(window_size, 1), padding=(padding, 0), stride=(2, 1)) # [1, C * window_size, M / 2 + 1] + unfold_feats = unfold_feats.view(self.audio_dim, window_size, -1).permute(2, 1, 0).contiguous() # [C, window_size, M / 2 + 1] --> [M / 2 + 1, window_size, C] + # print('[INFO] after unfold', unfold_feats.shape) + # save to a npy file + if 'esperanto' in self.opt.asr_model: + output_path = self.opt.asr_wav.replace('.wav', '_eo.npy') + else: + output_path = self.opt.asr_wav.replace('.wav', '.npy') + np.save(output_path, unfold_feats.cpu().numpy()) + print(f"[INFO] saved logits to {output_path}") + + def create_file_stream(self): + + stream, sample_rate = sf.read(self.opt.asr_wav) # [T*sample_rate,] float64 + stream = stream.astype(np.float32) + + if stream.ndim > 1: + print(f'[WARN] audio has {stream.shape[1]} channels, only use the first.') + stream = stream[:, 0] + + if sample_rate != self.sample_rate: + print(f'[WARN] audio sample rate is {sample_rate}, resampling into {self.sample_rate}.') + stream = resampy.resample(x=stream, sr_orig=sample_rate, sr_new=self.sample_rate) + + print(f'[INFO] loaded audio stream {self.opt.asr_wav}: {stream.shape}') + + return stream + + + def create_pyaudio_stream(self): + + import pyaudio + + print(f'[INFO] creating live audio stream ...') + + audio = pyaudio.PyAudio() + + # get devices + info = audio.get_host_api_info_by_index(0) + n_devices = info.get('deviceCount') + + for i in range(0, n_devices): + if (audio.get_device_info_by_host_api_device_index(0, i).get('maxInputChannels')) > 0: + name = audio.get_device_info_by_host_api_device_index(0, i).get('name') + print(f'[INFO] choose audio device {name}, id {i}') + break + + # get stream + stream = audio.open(input_device_index=i, + format=pyaudio.paInt16, + channels=1, + rate=self.sample_rate, + input=True, + frames_per_buffer=self.chunk) + + return audio, stream + + + def get_audio_frame(self): + + if self.mode == 'file': + + if self.idx < self.file_stream.shape[0]: + frame = self.file_stream[self.idx: self.idx + self.chunk] + self.idx = self.idx + self.chunk + return frame + else: + return None + + else: + + frame = self.queue.get() + # print(f'[INFO] get frame {frame.shape}') + + self.idx = self.idx + self.chunk + + return frame + + + def frame_to_text(self, frame): + # frame: [N * 320], N = (context_size + 2 * stride_size) + + inputs = self.processor(frame, sampling_rate=self.sample_rate, return_tensors="pt", padding=True) + + with torch.no_grad(): + result = self.model(inputs.input_values.to(self.device)) + logits = result.logits # [1, N - 1, 32] + + # cut off stride + left = max(0, self.stride_left_size) + right = min(logits.shape[1], logits.shape[1] - self.stride_right_size + 1) # +1 to make sure output is the same length as input. + + # do not cut right if terminated. + if self.terminated: + right = logits.shape[1] + + logits = logits[:, left:right] + + # print(frame.shape, inputs.input_values.shape, logits.shape) + + predicted_ids = torch.argmax(logits, dim=-1) + transcription = self.processor.batch_decode(predicted_ids)[0].lower() + + + # for esperanto + # labels = np.array(['ŭ', '»', 'c', 'ĵ', 'ñ', '”', '„', '“', 'ǔ', 'o', 'ĝ', 'm', 'k', 'd', 'a', 'ŝ', 'z', 'i', '«', '—', '‘', 'ĥ', 'f', 'y', 'h', 'j', '|', 'r', 'u', 'ĉ', 's', '–', 'fi', 'l', 'p', '’', 'g', 'v', 't', 'b', 'n', 'e', '[UNK]', '[PAD]']) + + # labels = np.array([' ', ' ', ' ', '-', '|', 'E', 'T', 'A', 'O', 'N', 'I', 'H', 'S', 'R', 'D', 'L', 'U', 'M', 'W', 'C', 'F', 'G', 'Y', 'P', 'B', 'V', 'K', "'", 'X', 'J', 'Q', 'Z']) + # print(''.join(labels[predicted_ids[0].detach().cpu().long().numpy()])) + # print(predicted_ids[0]) + # print(transcription) + + return logits[0], predicted_ids[0], transcription # [N,] + + + def run(self): + + self.listen() + + while not self.terminated: + self.run_step() + + def clear_queue(self): + # clear the queue, to reduce potential latency... + print(f'[INFO] clear queue') + if self.mode == 'live': + self.queue.queue.clear() + if self.play: + self.output_queue.queue.clear() + + def warm_up(self): + + self.listen() + + print(f'[INFO] warm up ASR live model, expected latency = {self.warm_up_steps / self.fps:.6f}s') + t = time.time() + for _ in range(self.warm_up_steps): + self.run_step() + if torch.cuda.is_available(): + torch.cuda.synchronize() + t = time.time() - t + print(f'[INFO] warm-up done, actual latency = {t:.6f}s') + + self.clear_queue() + + + + +if __name__ == '__main__': + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument('--wav', type=str, default='') + parser.add_argument('--play', action='store_true', help="play out the audio") + + parser.add_argument('--model', type=str, default='cpierse/wav2vec2-large-xlsr-53-esperanto') + # parser.add_argument('--model', type=str, default='facebook/wav2vec2-large-960h-lv60-self') + + parser.add_argument('--save_feats', action='store_true') + # audio FPS + parser.add_argument('--fps', type=int, default=50) + # sliding window left-middle-right length. + parser.add_argument('-l', type=int, default=10) + parser.add_argument('-m', type=int, default=50) + parser.add_argument('-r', type=int, default=10) + + opt = parser.parse_args() + + # fix + opt.asr_wav = opt.wav + opt.asr_play = opt.play + opt.asr_model = opt.model + opt.asr_save_feats = opt.save_feats + + if 'deepspeech' in opt.asr_model: + raise ValueError("DeepSpeech features should not use this code to extract...") + + with ASR(opt) as asr: + asr.run() \ No newline at end of file diff --git a/NeRF/raymarching/__init__.py b/NeRF/raymarching/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..26d3cc6d4430c112603bba68bbd1bedd0ccbc7ac --- /dev/null +++ b/NeRF/raymarching/__init__.py @@ -0,0 +1 @@ +from .raymarching import * \ No newline at end of file diff --git a/NeRF/raymarching/backend.py b/NeRF/raymarching/backend.py new file mode 100644 index 0000000000000000000000000000000000000000..2d41d14df8eafa962e73dbfa16810a395780867d --- /dev/null +++ b/NeRF/raymarching/backend.py @@ -0,0 +1,40 @@ +import os +from torch.utils.cpp_extension import load + +_src_path = os.path.dirname(os.path.abspath(__file__)) + +nvcc_flags = [ + '-O3', '-std=c++14', + '-U__CUDA_NO_HALF_OPERATORS__', '-U__CUDA_NO_HALF_CONVERSIONS__', '-U__CUDA_NO_HALF2_OPERATORS__', +] + +if os.name == "posix": + c_flags = ['-O3', '-std=c++14'] +elif os.name == "nt": + c_flags = ['/O2', '/std:c++17'] + + # find cl.exe + def find_cl_path(): + import glob + for edition in ["Enterprise", "Professional", "BuildTools", "Community"]: + paths = sorted(glob.glob(r"C:\\Program Files (x86)\\Microsoft Visual Studio\\*\\%s\\VC\\Tools\\MSVC\\*\\bin\\Hostx64\\x64" % edition), reverse=True) + if paths: + return paths[0] + + # If cl.exe is not on path, try to find it. + if os.system("where cl.exe >nul 2>nul") != 0: + cl_path = find_cl_path() + if cl_path is None: + raise RuntimeError("Could not locate a supported Microsoft Visual C++ installation") + os.environ["PATH"] += ";" + cl_path + +_backend = load(name='_raymarching_face', + extra_cflags=c_flags, + extra_cuda_cflags=nvcc_flags, + sources=[os.path.join(_src_path, 'src', f) for f in [ + 'raymarching.cu', + 'bindings.cpp', + ]], + ) + +__all__ = ['_backend'] \ No newline at end of file diff --git a/NeRF/raymarching/raymarching.py b/NeRF/raymarching/raymarching.py new file mode 100644 index 0000000000000000000000000000000000000000..05fb1e6c4cb05b39b178a197fdcc94d749c26263 --- /dev/null +++ b/NeRF/raymarching/raymarching.py @@ -0,0 +1,671 @@ +import numpy as np +import time + +import torch +import torch.nn as nn +from torch.autograd import Function +from torch.cuda.amp import custom_bwd, custom_fwd + +try: + import _raymarching_face as _backend +except ImportError: + from .backend import _backend + +# ---------------------------------------- +# utils +# ---------------------------------------- + +class _near_far_from_aabb(Function): + @staticmethod + @custom_fwd(cast_inputs=torch.float32) + def forward(ctx, rays_o, rays_d, aabb, min_near=0.2): + ''' near_far_from_aabb, CUDA implementation + Calculate rays' intersection time (near and far) with aabb + Args: + rays_o: float, [N, 3] + rays_d: float, [N, 3] + aabb: float, [6], (xmin, ymin, zmin, xmax, ymax, zmax) + min_near: float, scalar + Returns: + nears: float, [N] + fars: float, [N] + ''' + if not rays_o.is_cuda: rays_o = rays_o.cuda() + if not rays_d.is_cuda: rays_d = rays_d.cuda() + + rays_o = rays_o.contiguous().view(-1, 3) + rays_d = rays_d.contiguous().view(-1, 3) + + N = rays_o.shape[0] # num rays + + nears = torch.empty(N, dtype=rays_o.dtype, device=rays_o.device) + fars = torch.empty(N, dtype=rays_o.dtype, device=rays_o.device) + + _backend.near_far_from_aabb(rays_o, rays_d, aabb, N, min_near, nears, fars) + + return nears, fars + +near_far_from_aabb = _near_far_from_aabb.apply + + +class _sph_from_ray(Function): + @staticmethod + @custom_fwd(cast_inputs=torch.float32) + def forward(ctx, rays_o, rays_d, radius): + ''' sph_from_ray, CUDA implementation + get spherical coordinate on the background sphere from rays. + Assume rays_o are inside the Sphere(radius). + Args: + rays_o: [N, 3] + rays_d: [N, 3] + radius: scalar, float + Return: + coords: [N, 2], in [-1, 1], theta and phi on a sphere. (further-surface) + ''' + if not rays_o.is_cuda: rays_o = rays_o.cuda() + if not rays_d.is_cuda: rays_d = rays_d.cuda() + + rays_o = rays_o.contiguous().view(-1, 3) + rays_d = rays_d.contiguous().view(-1, 3) + + N = rays_o.shape[0] # num rays + + coords = torch.empty(N, 2, dtype=rays_o.dtype, device=rays_o.device) + + _backend.sph_from_ray(rays_o, rays_d, radius, N, coords) + + return coords + +sph_from_ray = _sph_from_ray.apply + + +class _morton3D(Function): + @staticmethod + def forward(ctx, coords): + ''' morton3D, CUDA implementation + Args: + coords: [N, 3], int32, in [0, 128) (for some reason there is no uint32 tensor in torch...) + TODO: check if the coord range is valid! (current 128 is safe) + Returns: + indices: [N], int32, in [0, 128^3) + + ''' + if not coords.is_cuda: coords = coords.cuda() + + N = coords.shape[0] + + indices = torch.empty(N, dtype=torch.int32, device=coords.device) + + _backend.morton3D(coords.int(), N, indices) + + return indices + +morton3D = _morton3D.apply + +class _morton3D_invert(Function): + @staticmethod + def forward(ctx, indices): + ''' morton3D_invert, CUDA implementation + Args: + indices: [N], int32, in [0, 128^3) + Returns: + coords: [N, 3], int32, in [0, 128) + + ''' + if not indices.is_cuda: indices = indices.cuda() + + N = indices.shape[0] + + coords = torch.empty(N, 3, dtype=torch.int32, device=indices.device) + + _backend.morton3D_invert(indices.int(), N, coords) + + return coords + +morton3D_invert = _morton3D_invert.apply + + +class _packbits(Function): + @staticmethod + @custom_fwd(cast_inputs=torch.float32) + def forward(ctx, grid, thresh, bitfield=None): + ''' packbits, CUDA implementation + Pack up the density grid into a bit field to accelerate ray marching. + Args: + grid: float, [C, H * H * H], assume H % 2 == 0 + thresh: float, threshold + Returns: + bitfield: uint8, [C, H * H * H / 8] + ''' + if not grid.is_cuda: grid = grid.cuda() + grid = grid.contiguous() + + C = grid.shape[0] + H3 = grid.shape[1] + N = C * H3 // 8 + + if bitfield is None: + bitfield = torch.empty(N, dtype=torch.uint8, device=grid.device) + + _backend.packbits(grid, N, thresh, bitfield) + + return bitfield + +packbits = _packbits.apply + + +class _morton3D_dilation(Function): + @staticmethod + @custom_fwd(cast_inputs=torch.float32) + def forward(ctx, grid): + ''' max pooling with morton coord, CUDA implementation + or maybe call it dilation... we don't support adjust kernel size. + Args: + grid: float, [C, H * H * H], assume H % 2 == 0 + Returns: + grid_dilate: float, [C, H * H * H], assume H % 2 == 0bitfield: uint8, [C, H * H * H / 8] + ''' + if not grid.is_cuda: grid = grid.cuda() + grid = grid.contiguous() + + C = grid.shape[0] + H3 = grid.shape[1] + H = int(np.cbrt(H3)) + grid_dilation = torch.empty_like(grid) + + _backend.morton3D_dilation(grid, C, H, grid_dilation) + + return grid_dilation + +morton3D_dilation = _morton3D_dilation.apply + +# ---------------------------------------- +# train functions +# ---------------------------------------- + +class _march_rays_train(Function): + @staticmethod + @custom_fwd(cast_inputs=torch.float32) + def forward(ctx, rays_o, rays_d, bound, density_bitfield, C, H, nears, fars, step_counter=None, mean_count=-1, perturb=False, align=-1, force_all_rays=False, dt_gamma=0, max_steps=1024): + ''' march rays to generate points (forward only) + Args: + rays_o/d: float, [N, 3] + bound: float, scalar + density_bitfield: uint8: [CHHH // 8] + C: int + H: int + nears/fars: float, [N] + step_counter: int32, (2), used to count the actual number of generated points. + mean_count: int32, estimated mean steps to accelerate training. (but will randomly drop rays if the actual point count exceeded this threshold.) + perturb: bool + align: int, pad output so its size is dividable by align, set to -1 to disable. + force_all_rays: bool, ignore step_counter and mean_count, always calculate all rays. Useful if rendering the whole image, instead of some rays. + dt_gamma: float, called cone_angle in instant-ngp, exponentially accelerate ray marching if > 0. (very significant effect, but generally lead to worse performance) + max_steps: int, max number of sampled points along each ray, also affect min_stepsize. + Returns: + xyzs: float, [M, 3], all generated points' coords. (all rays concated, need to use `rays` to extract points belonging to each ray) + dirs: float, [M, 3], all generated points' view dirs. + deltas: float, [M, 2], first is delta_t, second is rays_t + rays: int32, [N, 3], all rays' (index, point_offset, point_count), e.g., xyzs[rays[i, 1]:rays[i, 1] + rays[i, 2]] --> points belonging to rays[i, 0] + ''' + + if not rays_o.is_cuda: rays_o = rays_o.cuda() + if not rays_d.is_cuda: rays_d = rays_d.cuda() + if not density_bitfield.is_cuda: density_bitfield = density_bitfield.cuda() + + rays_o = rays_o.contiguous().view(-1, 3) + rays_d = rays_d.contiguous().view(-1, 3) + density_bitfield = density_bitfield.contiguous() + + N = rays_o.shape[0] # num rays + M = N * max_steps # init max points number in total + + # running average based on previous epoch (mimic `measured_batch_size_before_compaction` in instant-ngp) + # It estimate the max points number to enable faster training, but will lead to random ignored rays if underestimated. + if not force_all_rays and mean_count > 0: + if align > 0: + mean_count += align - mean_count % align + M = mean_count + + xyzs = torch.zeros(M, 3, dtype=rays_o.dtype, device=rays_o.device) + dirs = torch.zeros(M, 3, dtype=rays_o.dtype, device=rays_o.device) + deltas = torch.zeros(M, 2, dtype=rays_o.dtype, device=rays_o.device) + rays = torch.empty(N, 3, dtype=torch.int32, device=rays_o.device) # id, offset, num_steps + + if step_counter is None: + step_counter = torch.zeros(2, dtype=torch.int32, device=rays_o.device) # point counter, ray counter + + if perturb: + noises = torch.rand(N, dtype=rays_o.dtype, device=rays_o.device) + else: + noises = torch.zeros(N, dtype=rays_o.dtype, device=rays_o.device) + + _backend.march_rays_train(rays_o, rays_d, density_bitfield, bound, dt_gamma, max_steps, N, C, H, M, nears, fars, xyzs, dirs, deltas, rays, step_counter, noises) # m is the actually used points number + + #print(step_counter, M) + + # only used at the first (few) epochs. + if force_all_rays or mean_count <= 0: + m = step_counter[0].item() # D2H copy + if align > 0: + m += align - m % align + xyzs = xyzs[:m] + dirs = dirs[:m] + deltas = deltas[:m] + + torch.cuda.empty_cache() + + ctx.save_for_backward(rays, deltas) + + return xyzs, dirs, deltas, rays + + # to support optimizing camera poses. + @staticmethod + @custom_bwd + def backward(ctx, grad_xyzs, grad_dirs, grad_deltas, grad_rays): + # grad_xyzs/dirs: [M, 3] + + rays, deltas = ctx.saved_tensors + + N = rays.shape[0] + M = grad_xyzs.shape[0] + + grad_rays_o = torch.zeros(N, 3, device=rays.device) + grad_rays_d = torch.zeros(N, 3, device=rays.device) + + _backend.march_rays_train_backward(grad_xyzs, grad_dirs, rays, deltas, N, M, grad_rays_o, grad_rays_d) + + return grad_rays_o, grad_rays_d, None, None, None, None, None, None, None, None, None, None, None, None, None + +march_rays_train = _march_rays_train.apply + + +class _composite_rays_train(Function): + @staticmethod + @custom_fwd(cast_inputs=torch.float32) + def forward(ctx, sigmas, rgbs, ambient, deltas, rays, T_thresh=1e-4): + ''' composite rays' rgbs, according to the ray marching formula. + Args: + rgbs: float, [M, 3] + sigmas: float, [M,] + ambient: float, [M,] (after summing up the last dimension) + deltas: float, [M, 2] + rays: int32, [N, 3] + Returns: + weights_sum: float, [N,], the alpha channel + depth: float, [N, ], the Depth + image: float, [N, 3], the RGB channel (after multiplying alpha!) + ''' + + sigmas = sigmas.contiguous() + rgbs = rgbs.contiguous() + ambient = ambient.contiguous() + + M = sigmas.shape[0] + N = rays.shape[0] + + weights_sum = torch.empty(N, dtype=sigmas.dtype, device=sigmas.device) + ambient_sum = torch.empty(N, dtype=sigmas.dtype, device=sigmas.device) + depth = torch.empty(N, dtype=sigmas.dtype, device=sigmas.device) + image = torch.empty(N, 3, dtype=sigmas.dtype, device=sigmas.device) + + _backend.composite_rays_train_forward(sigmas, rgbs, ambient, deltas, rays, M, N, T_thresh, weights_sum, ambient_sum, depth, image) + + ctx.save_for_backward(sigmas, rgbs, ambient, deltas, rays, weights_sum, ambient_sum, depth, image) + ctx.dims = [M, N, T_thresh] + + return weights_sum, ambient_sum, depth, image + + @staticmethod + @custom_bwd + def backward(ctx, grad_weights_sum, grad_ambient_sum, grad_depth, grad_image): + + # NOTE: grad_depth is not used now! It won't be propagated to sigmas. + + grad_weights_sum = grad_weights_sum.contiguous() + grad_ambient_sum = grad_ambient_sum.contiguous() + grad_image = grad_image.contiguous() + + sigmas, rgbs, ambient, deltas, rays, weights_sum, ambient_sum, depth, image = ctx.saved_tensors + M, N, T_thresh = ctx.dims + + grad_sigmas = torch.zeros_like(sigmas) + grad_rgbs = torch.zeros_like(rgbs) + grad_ambient = torch.zeros_like(ambient) + + _backend.composite_rays_train_backward(grad_weights_sum, grad_ambient_sum, grad_image, sigmas, rgbs, ambient, deltas, rays, weights_sum, ambient_sum, image, M, N, T_thresh, grad_sigmas, grad_rgbs, grad_ambient) + + return grad_sigmas, grad_rgbs, grad_ambient, None, None, None + + +composite_rays_train = _composite_rays_train.apply + +# ---------------------------------------- +# infer functions +# ---------------------------------------- + +class _march_rays(Function): + @staticmethod + @custom_fwd(cast_inputs=torch.float32) + def forward(ctx, n_alive, n_step, rays_alive, rays_t, rays_o, rays_d, bound, density_bitfield, C, H, near, far, align=-1, perturb=False, dt_gamma=0, max_steps=1024): + ''' march rays to generate points (forward only, for inference) + Args: + n_alive: int, number of alive rays + n_step: int, how many steps we march + rays_alive: int, [N], the alive rays' IDs in N (N >= n_alive, but we only use first n_alive) + rays_t: float, [N], the alive rays' time, we only use the first n_alive. + rays_o/d: float, [N, 3] + bound: float, scalar + density_bitfield: uint8: [CHHH // 8] + C: int + H: int + nears/fars: float, [N] + align: int, pad output so its size is dividable by align, set to -1 to disable. + perturb: bool/int, int > 0 is used as the random seed. + dt_gamma: float, called cone_angle in instant-ngp, exponentially accelerate ray marching if > 0. (very significant effect, but generally lead to worse performance) + max_steps: int, max number of sampled points along each ray, also affect min_stepsize. + Returns: + xyzs: float, [n_alive * n_step, 3], all generated points' coords + dirs: float, [n_alive * n_step, 3], all generated points' view dirs. + deltas: float, [n_alive * n_step, 2], all generated points' deltas (here we record two deltas, the first is for RGB, the second for depth). + ''' + + if not rays_o.is_cuda: rays_o = rays_o.cuda() + if not rays_d.is_cuda: rays_d = rays_d.cuda() + + rays_o = rays_o.contiguous().view(-1, 3) + rays_d = rays_d.contiguous().view(-1, 3) + + M = n_alive * n_step + + if align > 0: + M += align - (M % align) + + xyzs = torch.zeros(M, 3, dtype=rays_o.dtype, device=rays_o.device) + dirs = torch.zeros(M, 3, dtype=rays_o.dtype, device=rays_o.device) + deltas = torch.zeros(M, 2, dtype=rays_o.dtype, device=rays_o.device) # 2 vals, one for rgb, one for depth + + if perturb: + # torch.manual_seed(perturb) # test_gui uses spp index as seed + noises = torch.rand(n_alive, dtype=rays_o.dtype, device=rays_o.device) + else: + noises = torch.zeros(n_alive, dtype=rays_o.dtype, device=rays_o.device) + + _backend.march_rays(n_alive, n_step, rays_alive, rays_t, rays_o, rays_d, bound, dt_gamma, max_steps, C, H, density_bitfield, near, far, xyzs, dirs, deltas, noises) + + return xyzs, dirs, deltas + +march_rays = _march_rays.apply + + +class _composite_rays(Function): + @staticmethod + @custom_fwd(cast_inputs=torch.float32) # need to cast sigmas & rgbs to float + def forward(ctx, n_alive, n_step, rays_alive, rays_t, sigmas, rgbs, deltas, weights_sum, depth, image, T_thresh=1e-2): + ''' composite rays' rgbs, according to the ray marching formula. (for inference) + Args: + n_alive: int, number of alive rays + n_step: int, how many steps we march + rays_alive: int, [n_alive], the alive rays' IDs in N (N >= n_alive) + rays_t: float, [N], the alive rays' time + sigmas: float, [n_alive * n_step,] + rgbs: float, [n_alive * n_step, 3] + deltas: float, [n_alive * n_step, 2], all generated points' deltas (here we record two deltas, the first is for RGB, the second for depth). + In-place Outputs: + weights_sum: float, [N,], the alpha channel + depth: float, [N,], the depth value + image: float, [N, 3], the RGB channel (after multiplying alpha!) + ''' + _backend.composite_rays(n_alive, n_step, T_thresh, rays_alive, rays_t, sigmas, rgbs, deltas, weights_sum, depth, image) + return tuple() + + +composite_rays = _composite_rays.apply + + +class _composite_rays_ambient(Function): + @staticmethod + @custom_fwd(cast_inputs=torch.float32) # need to cast sigmas & rgbs to float + def forward(ctx, n_alive, n_step, rays_alive, rays_t, sigmas, rgbs, deltas, ambients, weights_sum, depth, image, ambient_sum, T_thresh=1e-2): + _backend.composite_rays_ambient(n_alive, n_step, T_thresh, rays_alive, rays_t, sigmas, rgbs, deltas, ambients, weights_sum, depth, image, ambient_sum) + return tuple() + + +composite_rays_ambient = _composite_rays_ambient.apply + + + + + +# custom + +class _composite_rays_train_sigma(Function): + @staticmethod + @custom_fwd(cast_inputs=torch.float32) + def forward(ctx, sigmas, rgbs, ambient, deltas, rays, T_thresh=1e-4): + ''' composite rays' rgbs, according to the ray marching formula. + Args: + rgbs: float, [M, 3] + sigmas: float, [M,] + ambient: float, [M,] (after summing up the last dimension) + deltas: float, [M, 2] + rays: int32, [N, 3] + Returns: + weights_sum: float, [N,], the alpha channel + depth: float, [N, ], the Depth + image: float, [N, 3], the RGB channel (after multiplying alpha!) + ''' + + sigmas = sigmas.contiguous() + rgbs = rgbs.contiguous() + ambient = ambient.contiguous() + + M = sigmas.shape[0] + N = rays.shape[0] + + weights_sum = torch.empty(N, dtype=sigmas.dtype, device=sigmas.device) + ambient_sum = torch.empty(N, dtype=sigmas.dtype, device=sigmas.device) + depth = torch.empty(N, dtype=sigmas.dtype, device=sigmas.device) + image = torch.empty(N, 3, dtype=sigmas.dtype, device=sigmas.device) + + _backend.composite_rays_train_sigma_forward(sigmas, rgbs, ambient, deltas, rays, M, N, T_thresh, weights_sum, ambient_sum, depth, image) + + ctx.save_for_backward(sigmas, rgbs, ambient, deltas, rays, weights_sum, ambient_sum, depth, image) + ctx.dims = [M, N, T_thresh] + + return weights_sum, ambient_sum, depth, image + + @staticmethod + @custom_bwd + def backward(ctx, grad_weights_sum, grad_ambient_sum, grad_depth, grad_image): + + # NOTE: grad_depth is not used now! It won't be propagated to sigmas. + + grad_weights_sum = grad_weights_sum.contiguous() + grad_ambient_sum = grad_ambient_sum.contiguous() + grad_image = grad_image.contiguous() + + sigmas, rgbs, ambient, deltas, rays, weights_sum, ambient_sum, depth, image = ctx.saved_tensors + M, N, T_thresh = ctx.dims + + grad_sigmas = torch.zeros_like(sigmas) + grad_rgbs = torch.zeros_like(rgbs) + grad_ambient = torch.zeros_like(ambient) + + _backend.composite_rays_train_sigma_backward(grad_weights_sum, grad_ambient_sum, grad_image, sigmas, rgbs, ambient, deltas, rays, weights_sum, ambient_sum, image, M, N, T_thresh, grad_sigmas, grad_rgbs, grad_ambient) + + return grad_sigmas, grad_rgbs, grad_ambient, None, None, None + + +composite_rays_train_sigma = _composite_rays_train_sigma.apply + + +class _composite_rays_ambient_sigma(Function): + @staticmethod + @custom_fwd(cast_inputs=torch.float32) # need to cast sigmas & rgbs to float + def forward(ctx, n_alive, n_step, rays_alive, rays_t, sigmas, rgbs, deltas, ambients, weights_sum, depth, image, ambient_sum, T_thresh=1e-2): + _backend.composite_rays_ambient_sigma(n_alive, n_step, T_thresh, rays_alive, rays_t, sigmas, rgbs, deltas, ambients, weights_sum, depth, image, ambient_sum) + return tuple() + + +composite_rays_ambient_sigma = _composite_rays_ambient_sigma.apply + + + +# uncertainty +class _composite_rays_train_uncertainty(Function): + @staticmethod + @custom_fwd(cast_inputs=torch.float32) + def forward(ctx, sigmas, rgbs, ambient, uncertainty, deltas, rays, T_thresh=1e-4): + ''' composite rays' rgbs, according to the ray marching formula. + Args: + rgbs: float, [M, 3] + sigmas: float, [M,] + ambient: float, [M,] (after summing up the last dimension) + deltas: float, [M, 2] + rays: int32, [N, 3] + Returns: + weights_sum: float, [N,], the alpha channel + depth: float, [N, ], the Depth + image: float, [N, 3], the RGB channel (after multiplying alpha!) + ''' + + sigmas = sigmas.contiguous() + rgbs = rgbs.contiguous() + ambient = ambient.contiguous() + uncertainty = uncertainty.contiguous() + + M = sigmas.shape[0] + N = rays.shape[0] + + weights_sum = torch.empty(N, dtype=sigmas.dtype, device=sigmas.device) + ambient_sum = torch.empty(N, dtype=sigmas.dtype, device=sigmas.device) + uncertainty_sum = torch.empty(N, dtype=sigmas.dtype, device=sigmas.device) + depth = torch.empty(N, dtype=sigmas.dtype, device=sigmas.device) + image = torch.empty(N, 3, dtype=sigmas.dtype, device=sigmas.device) + + _backend.composite_rays_train_uncertainty_forward(sigmas, rgbs, ambient, uncertainty, deltas, rays, M, N, T_thresh, weights_sum, ambient_sum, uncertainty_sum, depth, image) + + ctx.save_for_backward(sigmas, rgbs, ambient, uncertainty, deltas, rays, weights_sum, ambient_sum, uncertainty_sum, depth, image) + ctx.dims = [M, N, T_thresh] + + return weights_sum, ambient_sum, uncertainty_sum, depth, image + + @staticmethod + @custom_bwd + def backward(ctx, grad_weights_sum, grad_ambient_sum, grad_uncertainty_sum, grad_depth, grad_image): + + # NOTE: grad_depth is not used now! It won't be propagated to sigmas. + + grad_weights_sum = grad_weights_sum.contiguous() + grad_ambient_sum = grad_ambient_sum.contiguous() + grad_uncertainty_sum = grad_uncertainty_sum.contiguous() + grad_image = grad_image.contiguous() + + sigmas, rgbs, ambient, uncertainty, deltas, rays, weights_sum, ambient_sum, uncertainty_sum, depth, image = ctx.saved_tensors + M, N, T_thresh = ctx.dims + + grad_sigmas = torch.zeros_like(sigmas) + grad_rgbs = torch.zeros_like(rgbs) + grad_ambient = torch.zeros_like(ambient) + grad_uncertainty = torch.zeros_like(uncertainty) + + _backend.composite_rays_train_uncertainty_backward(grad_weights_sum, grad_ambient_sum, grad_uncertainty_sum, grad_image, sigmas, rgbs, ambient, uncertainty, deltas, rays, weights_sum, ambient_sum, uncertainty_sum, image, M, N, T_thresh, grad_sigmas, grad_rgbs, grad_ambient, grad_uncertainty) + + return grad_sigmas, grad_rgbs, grad_ambient, grad_uncertainty, None, None, None + + +composite_rays_train_uncertainty = _composite_rays_train_uncertainty.apply + + +class _composite_rays_uncertainty(Function): + @staticmethod + @custom_fwd(cast_inputs=torch.float32) # need to cast sigmas & rgbs to float + def forward(ctx, n_alive, n_step, rays_alive, rays_t, sigmas, rgbs, deltas, ambients, uncertainties, weights_sum, depth, image, ambient_sum, uncertainty_sum, T_thresh=1e-2): + _backend.composite_rays_uncertainty(n_alive, n_step, T_thresh, rays_alive, rays_t, sigmas, rgbs, deltas, ambients, uncertainties, weights_sum, depth, image, ambient_sum, uncertainty_sum) + return tuple() + + +composite_rays_uncertainty = _composite_rays_uncertainty.apply + + + +# triplane(eye) +class _composite_rays_train_triplane(Function): + @staticmethod + @custom_fwd(cast_inputs=torch.float32) + def forward(ctx, sigmas, rgbs, amb_aud, amb_eye, uncertainty, deltas, rays, T_thresh=1e-4): + ''' composite rays' rgbs, according to the ray marching formula. + Args: + rgbs: float, [M, 3] + sigmas: float, [M,] + ambient: float, [M,] (after summing up the last dimension) + deltas: float, [M, 2] + rays: int32, [N, 3] + Returns: + weights_sum: float, [N,], the alpha channel + depth: float, [N, ], the Depth + image: float, [N, 3], the RGB channel (after multiplying alpha!) + ''' + + sigmas = sigmas.contiguous() + rgbs = rgbs.contiguous() + amb_aud = amb_aud.contiguous() + amb_eye = amb_eye.contiguous() + uncertainty = uncertainty.contiguous() + + M = sigmas.shape[0] + N = rays.shape[0] + + weights_sum = torch.empty(N, dtype=sigmas.dtype, device=sigmas.device) + amb_aud_sum = torch.empty(N, dtype=sigmas.dtype, device=sigmas.device) + amb_eye_sum = torch.empty(N, dtype=sigmas.dtype, device=sigmas.device) + uncertainty_sum = torch.empty(N, dtype=sigmas.dtype, device=sigmas.device) + depth = torch.empty(N, dtype=sigmas.dtype, device=sigmas.device) + image = torch.empty(N, 3, dtype=sigmas.dtype, device=sigmas.device) + + _backend.composite_rays_train_triplane_forward(sigmas, rgbs, amb_aud, amb_eye, uncertainty, deltas, rays, M, N, T_thresh, weights_sum, amb_aud_sum, amb_eye_sum, uncertainty_sum, depth, image) + + ctx.save_for_backward(sigmas, rgbs, amb_aud, amb_eye, uncertainty, deltas, rays, weights_sum, amb_aud_sum, amb_eye_sum, uncertainty_sum, depth, image) + ctx.dims = [M, N, T_thresh] + + return weights_sum, amb_aud_sum, amb_eye_sum, uncertainty_sum, depth, image + + @staticmethod + @custom_bwd + def backward(ctx, grad_weights_sum, grad_amb_aud_sum, grad_amb_eye_sum, grad_uncertainty_sum, grad_depth, grad_image): + + # NOTE: grad_depth is not used now! It won't be propagated to sigmas. + + grad_weights_sum = grad_weights_sum.contiguous() + grad_amb_aud_sum = grad_amb_aud_sum.contiguous() + grad_amb_eye_sum = grad_amb_eye_sum.contiguous() + grad_uncertainty_sum = grad_uncertainty_sum.contiguous() + grad_image = grad_image.contiguous() + + sigmas, rgbs, amb_aud, amb_eye, uncertainty, deltas, rays, weights_sum, amb_aud_sum, amb_eye_sum, uncertainty_sum, depth, image = ctx.saved_tensors + M, N, T_thresh = ctx.dims + + grad_sigmas = torch.zeros_like(sigmas) + grad_rgbs = torch.zeros_like(rgbs) + grad_amb_aud = torch.zeros_like(amb_aud) + grad_amb_eye = torch.zeros_like(amb_eye) + grad_uncertainty = torch.zeros_like(uncertainty) + + _backend.composite_rays_train_triplane_backward(grad_weights_sum, grad_amb_aud_sum, grad_amb_eye_sum, grad_uncertainty_sum, grad_image, sigmas, rgbs, amb_aud, amb_eye, uncertainty, deltas, rays, weights_sum, amb_aud_sum, amb_eye_sum, uncertainty_sum, image, M, N, T_thresh, grad_sigmas, grad_rgbs, grad_amb_aud, grad_amb_eye, grad_uncertainty) + + return grad_sigmas, grad_rgbs, grad_amb_aud, grad_amb_eye, grad_uncertainty, None, None, None + + +composite_rays_train_triplane = _composite_rays_train_triplane.apply + + +class _composite_rays_triplane(Function): + @staticmethod + @custom_fwd(cast_inputs=torch.float32) # need to cast sigmas & rgbs to float + def forward(ctx, n_alive, n_step, rays_alive, rays_t, sigmas, rgbs, deltas, ambs_aud, ambs_eye, uncertainties, weights_sum, depth, image, amb_aud_sum, amb_eye_sum, uncertainty_sum, T_thresh=1e-2): + _backend.composite_rays_triplane(n_alive, n_step, T_thresh, rays_alive, rays_t, sigmas, rgbs, deltas, ambs_aud, ambs_eye, uncertainties, weights_sum, depth, image, amb_aud_sum, amb_eye_sum, uncertainty_sum) + return tuple() + + +composite_rays_triplane = _composite_rays_triplane.apply \ No newline at end of file diff --git a/NeRF/raymarching/setup.py b/NeRF/raymarching/setup.py new file mode 100644 index 0000000000000000000000000000000000000000..877f6b63a6815cf64c081bfa1e8784dcf9535044 --- /dev/null +++ b/NeRF/raymarching/setup.py @@ -0,0 +1,65 @@ +import os +from setuptools import setup +from torch.utils.cpp_extension import BuildExtension, CUDAExtension + +_src_path = os.path.dirname(os.path.abspath(__file__)) + +nvcc_flags = [ + '-O3', + # '-std=c++14', + '-std=c++17', + '-U__CUDA_NO_HALF_OPERATORS__', '-U__CUDA_NO_HALF_CONVERSIONS__', '-U__CUDA_NO_HALF2_OPERATORS__', +] + +if os.name == "posix": + # c_flags = ['-O3', '-std=c++14'] + c_flags = ['-O3', '-std=c++17'] +elif os.name == "nt": + c_flags = ['/O2', '/std:c++17'] + + # find cl.exe + def find_cl_path(): + import glob + for edition in ["Enterprise", "Professional", "BuildTools", "Community"]: + paths = sorted(glob.glob(r"C:\\Program Files (x86)\\Microsoft Visual Studio\\*\\%s\\VC\\Tools\\MSVC\\*\\bin\\Hostx64\\x64" % edition), reverse=True) + if paths: + return paths[0] + + # If cl.exe is not on path, try to find it. + if os.system("where cl.exe >nul 2>nul") != 0: + cl_path = find_cl_path() + if cl_path is None: + raise RuntimeError("Could not locate a supported Microsoft Visual C++ installation") + os.environ["PATH"] += ";" + cl_path + +''' +Usage: + +python setup.py build_ext --inplace # build extensions locally, do not install (only can be used from the parent directory) + +python setup.py install # build extensions and install (copy) to PATH. +pip install . # ditto but better (e.g., dependency & metadata handling) + +python setup.py develop # build extensions and install (symbolic) to PATH. +pip install -e . # ditto but better (e.g., dependency & metadata handling) + +''' +setup( + name='raymarching_face', # package name, import this to use python API + ext_modules=[ + CUDAExtension( + name='_raymarching_face', # extension name, import this to use CUDA API + sources=[os.path.join(_src_path, 'src', f) for f in [ + 'raymarching.cu', + 'bindings.cpp', + ]], + extra_compile_args={ + 'cxx': c_flags, + 'nvcc': nvcc_flags, + } + ), + ], + cmdclass={ + 'build_ext': BuildExtension, + } +) \ No newline at end of file diff --git a/NeRF/raymarching/src/bindings.cpp b/NeRF/raymarching/src/bindings.cpp new file mode 100644 index 0000000000000000000000000000000000000000..f8298bf4f2010d1037549d47bace7d860c12305f --- /dev/null +++ b/NeRF/raymarching/src/bindings.cpp @@ -0,0 +1,39 @@ +#include + +#include "raymarching.h" + +PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) { + // utils + m.def("packbits", &packbits, "packbits (CUDA)"); + m.def("near_far_from_aabb", &near_far_from_aabb, "near_far_from_aabb (CUDA)"); + m.def("sph_from_ray", &sph_from_ray, "sph_from_ray (CUDA)"); + m.def("morton3D", &morton3D, "morton3D (CUDA)"); + m.def("morton3D_invert", &morton3D_invert, "morton3D_invert (CUDA)"); + m.def("morton3D_dilation", &morton3D_dilation, "morton3D_dilation (CUDA)"); + // train + m.def("march_rays_train", &march_rays_train, "march_rays_train (CUDA)"); + m.def("march_rays_train_backward", &march_rays_train_backward, "march_rays_train_backward (CUDA)"); + m.def("composite_rays_train_forward", &composite_rays_train_forward, "composite_rays_train_forward (CUDA)"); + m.def("composite_rays_train_backward", &composite_rays_train_backward, "composite_rays_train_backward (CUDA)"); + // infer + m.def("march_rays", &march_rays, "march rays (CUDA)"); + m.def("composite_rays", &composite_rays, "composite rays (CUDA)"); + m.def("composite_rays_ambient", &composite_rays_ambient, "composite rays with ambient (CUDA)"); + + // train + m.def("composite_rays_train_sigma_forward", &composite_rays_train_sigma_forward, "composite_rays_train_forward (CUDA)"); + m.def("composite_rays_train_sigma_backward", &composite_rays_train_sigma_backward, "composite_rays_train_backward (CUDA)"); + // infer + m.def("composite_rays_ambient_sigma", &composite_rays_ambient_sigma, "composite rays with ambient (CUDA)"); + + // uncertainty train + m.def("composite_rays_train_uncertainty_forward", &composite_rays_train_uncertainty_forward, "composite_rays_train_forward (CUDA)"); + m.def("composite_rays_train_uncertainty_backward", &composite_rays_train_uncertainty_backward, "composite_rays_train_backward (CUDA)"); + m.def("composite_rays_uncertainty", &composite_rays_uncertainty, "composite rays with ambient (CUDA)"); + + // triplane + m.def("composite_rays_train_triplane_forward", &composite_rays_train_triplane_forward, "composite_rays_train_forward (CUDA)"); + m.def("composite_rays_train_triplane_backward", &composite_rays_train_triplane_backward, "composite_rays_train_backward (CUDA)"); + m.def("composite_rays_triplane", &composite_rays_triplane, "composite rays with ambient (CUDA)"); + +} \ No newline at end of file diff --git a/NeRF/raymarching/src/raymarching.cu b/NeRF/raymarching/src/raymarching.cu new file mode 100644 index 0000000000000000000000000000000000000000..d7788b77b52cfc6760478843ba890ee168b864e9 --- /dev/null +++ b/NeRF/raymarching/src/raymarching.cu @@ -0,0 +1,2258 @@ +#include +#include +#include + +#include +#include + +#include +#include +#include +#include + +#define CHECK_CUDA(x) TORCH_CHECK(x.device().is_cuda(), #x " must be a CUDA tensor") +#define CHECK_CONTIGUOUS(x) TORCH_CHECK(x.is_contiguous(), #x " must be a contiguous tensor") +#define CHECK_IS_INT(x) TORCH_CHECK(x.scalar_type() == at::ScalarType::Int, #x " must be an int tensor") +#define CHECK_IS_FLOATING(x) TORCH_CHECK(x.scalar_type() == at::ScalarType::Float || x.scalar_type() == at::ScalarType::Half || x.scalar_type() == at::ScalarType::Double, #x " must be a floating tensor") + + +inline constexpr __device__ float SQRT3() { return 1.7320508075688772f; } +inline constexpr __device__ float RSQRT3() { return 0.5773502691896258f; } +inline constexpr __device__ float PI() { return 3.141592653589793f; } +inline constexpr __device__ float RPI() { return 0.3183098861837907f; } + + +template +inline __host__ __device__ T div_round_up(T val, T divisor) { + return (val + divisor - 1) / divisor; +} + +inline __host__ __device__ float signf(const float x) { + return copysignf(1.0, x); +} + +inline __host__ __device__ float clamp(const float x, const float min, const float max) { + return fminf(max, fmaxf(min, x)); +} + +inline __host__ __device__ void swapf(float& a, float& b) { + float c = a; a = b; b = c; +} + +inline __device__ int mip_from_pos(const float x, const float y, const float z, const float max_cascade) { + const float mx = fmaxf(fabsf(x), fmaxf(fabs(y), fabs(z))); + int exponent; + frexpf(mx, &exponent); // [0, 0.5) --> -1, [0.5, 1) --> 0, [1, 2) --> 1, [2, 4) --> 2, ... + return fminf(max_cascade - 1, fmaxf(0, exponent)); +} + +inline __device__ int mip_from_dt(const float dt, const float H, const float max_cascade) { + const float mx = dt * H * 0.5; + int exponent; + frexpf(mx, &exponent); + return fminf(max_cascade - 1, fmaxf(0, exponent)); +} + +inline __host__ __device__ uint32_t __expand_bits(uint32_t v) +{ + v = (v * 0x00010001u) & 0xFF0000FFu; + v = (v * 0x00000101u) & 0x0F00F00Fu; + v = (v * 0x00000011u) & 0xC30C30C3u; + v = (v * 0x00000005u) & 0x49249249u; + return v; +} + +inline __host__ __device__ uint32_t __morton3D(uint32_t x, uint32_t y, uint32_t z) +{ + uint32_t xx = __expand_bits(x); + uint32_t yy = __expand_bits(y); + uint32_t zz = __expand_bits(z); + return xx | (yy << 1) | (zz << 2); +} + +inline __host__ __device__ uint32_t __morton3D_invert(uint32_t x) +{ + x = x & 0x49249249; + x = (x | (x >> 2)) & 0xc30c30c3; + x = (x | (x >> 4)) & 0x0f00f00f; + x = (x | (x >> 8)) & 0xff0000ff; + x = (x | (x >> 16)) & 0x0000ffff; + return x; +} + + +//////////////////////////////////////////////////// +///////////// utils ///////////// +//////////////////////////////////////////////////// + +// rays_o/d: [N, 3] +// nears/fars: [N] +// scalar_t should always be float in use. +template +__global__ void kernel_near_far_from_aabb( + const scalar_t * __restrict__ rays_o, + const scalar_t * __restrict__ rays_d, + const scalar_t * __restrict__ aabb, + const uint32_t N, + const float min_near, + scalar_t * nears, scalar_t * fars +) { + // parallel per ray + const uint32_t n = threadIdx.x + blockIdx.x * blockDim.x; + if (n >= N) return; + + // locate + rays_o += n * 3; + rays_d += n * 3; + + const float ox = rays_o[0], oy = rays_o[1], oz = rays_o[2]; + const float dx = rays_d[0], dy = rays_d[1], dz = rays_d[2]; + const float rdx = 1 / dx, rdy = 1 / dy, rdz = 1 / dz; + + // get near far (assume cube scene) + float near = (aabb[0] - ox) * rdx; + float far = (aabb[3] - ox) * rdx; + if (near > far) swapf(near, far); + + float near_y = (aabb[1] - oy) * rdy; + float far_y = (aabb[4] - oy) * rdy; + if (near_y > far_y) swapf(near_y, far_y); + + if (near > far_y || near_y > far) { + nears[n] = fars[n] = std::numeric_limits::max(); + return; + } + + if (near_y > near) near = near_y; + if (far_y < far) far = far_y; + + float near_z = (aabb[2] - oz) * rdz; + float far_z = (aabb[5] - oz) * rdz; + if (near_z > far_z) swapf(near_z, far_z); + + if (near > far_z || near_z > far) { + nears[n] = fars[n] = std::numeric_limits::max(); + return; + } + + if (near_z > near) near = near_z; + if (far_z < far) far = far_z; + + if (near < min_near) near = min_near; + + nears[n] = near; + fars[n] = far; +} + + +void near_far_from_aabb(const at::Tensor rays_o, const at::Tensor rays_d, const at::Tensor aabb, const uint32_t N, const float min_near, at::Tensor nears, at::Tensor fars) { + + static constexpr uint32_t N_THREAD = 128; + + AT_DISPATCH_FLOATING_TYPES_AND_HALF( + rays_o.scalar_type(), "near_far_from_aabb", ([&] { + kernel_near_far_from_aabb<<>>(rays_o.data_ptr(), rays_d.data_ptr(), aabb.data_ptr(), N, min_near, nears.data_ptr(), fars.data_ptr()); + })); +} + + +// rays_o/d: [N, 3] +// radius: float +// coords: [N, 2] +template +__global__ void kernel_sph_from_ray( + const scalar_t * __restrict__ rays_o, + const scalar_t * __restrict__ rays_d, + const float radius, + const uint32_t N, + scalar_t * coords +) { + // parallel per ray + const uint32_t n = threadIdx.x + blockIdx.x * blockDim.x; + if (n >= N) return; + + // locate + rays_o += n * 3; + rays_d += n * 3; + coords += n * 2; + + const float ox = rays_o[0], oy = rays_o[1], oz = rays_o[2]; + const float dx = rays_d[0], dy = rays_d[1], dz = rays_d[2]; + const float rdx = 1 / dx, rdy = 1 / dy, rdz = 1 / dz; + + // solve t from || o + td || = radius + const float A = dx * dx + dy * dy + dz * dz; + const float B = ox * dx + oy * dy + oz * dz; // in fact B / 2 + const float C = ox * ox + oy * oy + oz * oz - radius * radius; + + const float t = (- B + sqrtf(B * B - A * C)) / A; // always use the larger solution (positive) + + // solve theta, phi (assume y is the up axis) + const float x = ox + t * dx, y = oy + t * dy, z = oz + t * dz; + const float theta = atan2(sqrtf(x * x + z * z), y); // [0, PI) + const float phi = atan2(z, x); // [-PI, PI) + + // normalize to [-1, 1] + coords[0] = 2 * theta * RPI() - 1; + coords[1] = phi * RPI(); +} + + +void sph_from_ray(const at::Tensor rays_o, const at::Tensor rays_d, const float radius, const uint32_t N, at::Tensor coords) { + + static constexpr uint32_t N_THREAD = 128; + + AT_DISPATCH_FLOATING_TYPES_AND_HALF( + rays_o.scalar_type(), "sph_from_ray", ([&] { + kernel_sph_from_ray<<>>(rays_o.data_ptr(), rays_d.data_ptr(), radius, N, coords.data_ptr()); + })); +} + + +// coords: int32, [N, 3] +// indices: int32, [N] +__global__ void kernel_morton3D( + const int * __restrict__ coords, + const uint32_t N, + int * indices +) { + // parallel + const uint32_t n = threadIdx.x + blockIdx.x * blockDim.x; + if (n >= N) return; + + // locate + coords += n * 3; + indices[n] = __morton3D(coords[0], coords[1], coords[2]); +} + + +void morton3D(const at::Tensor coords, const uint32_t N, at::Tensor indices) { + static constexpr uint32_t N_THREAD = 128; + kernel_morton3D<<>>(coords.data_ptr(), N, indices.data_ptr()); +} + + +// indices: int32, [N] +// coords: int32, [N, 3] +__global__ void kernel_morton3D_invert( + const int * __restrict__ indices, + const uint32_t N, + int * coords +) { + // parallel + const uint32_t n = threadIdx.x + blockIdx.x * blockDim.x; + if (n >= N) return; + + // locate + coords += n * 3; + + const int ind = indices[n]; + + coords[0] = __morton3D_invert(ind >> 0); + coords[1] = __morton3D_invert(ind >> 1); + coords[2] = __morton3D_invert(ind >> 2); +} + + +void morton3D_invert(const at::Tensor indices, const uint32_t N, at::Tensor coords) { + static constexpr uint32_t N_THREAD = 128; + kernel_morton3D_invert<<>>(indices.data_ptr(), N, coords.data_ptr()); +} + + +// grid: float, [C, H, H, H] +// N: int, C * H * H * H / 8 +// density_thresh: float +// bitfield: uint8, [N] +template +__global__ void kernel_packbits( + const scalar_t * __restrict__ grid, + const uint32_t N, + const float density_thresh, + uint8_t * bitfield +) { + // parallel per byte + const uint32_t n = threadIdx.x + blockIdx.x * blockDim.x; + if (n >= N) return; + + // locate + grid += n * 8; + + uint8_t bits = 0; + + #pragma unroll + for (uint8_t i = 0; i < 8; i++) { + bits |= (grid[i] > density_thresh) ? ((uint8_t)1 << i) : 0; + } + + bitfield[n] = bits; +} + + +void packbits(const at::Tensor grid, const uint32_t N, const float density_thresh, at::Tensor bitfield) { + + static constexpr uint32_t N_THREAD = 128; + + AT_DISPATCH_FLOATING_TYPES_AND_HALF( + grid.scalar_type(), "packbits", ([&] { + kernel_packbits<<>>(grid.data_ptr(), N, density_thresh, bitfield.data_ptr()); + })); +} + + +// grid: float, [C, H, H, H] +__global__ void kernel_morton3D_dilation( + const float * __restrict__ grid, + const uint32_t C, + const uint32_t H, + float * __restrict__ grid_dilation +) { + // parallel per byte + const uint32_t H3 = H * H * H; + const uint32_t n = threadIdx.x + blockIdx.x * blockDim.x; + if (n >= C * H3) return; + + // locate + const uint32_t c = n / H3; + const uint32_t ind = n - c * H3; + + const uint32_t x = __morton3D_invert(ind >> 0); + const uint32_t y = __morton3D_invert(ind >> 1); + const uint32_t z = __morton3D_invert(ind >> 2); + + // manual max pool + float res = grid[n]; + + if (x + 1 < H) res = fmaxf(res, grid[c * H3 + __morton3D(x + 1, y, z)]); + if (x > 0) res = fmaxf(res, grid[c * H3 + __morton3D(x - 1, y, z)]); + if (y + 1 < H) res = fmaxf(res, grid[c * H3 + __morton3D(x, y + 1, z)]); + if (y > 0) res = fmaxf(res, grid[c * H3 + __morton3D(x, y - 1, z)]); + if (z + 1 < H) res = fmaxf(res, grid[c * H3 + __morton3D(x, y, z + 1)]); + if (z > 0) res = fmaxf(res, grid[c * H3 + __morton3D(x, y, z - 1)]); + + // write + grid_dilation[n] = res; +} + +void morton3D_dilation(const at::Tensor grid, const uint32_t C, const uint32_t H, at::Tensor grid_dilation) { + static constexpr uint32_t N_THREAD = 128; + + kernel_morton3D_dilation<<>>(grid.data_ptr(), C, H, grid_dilation.data_ptr()); +} + +//////////////////////////////////////////////////// +///////////// training ///////////// +//////////////////////////////////////////////////// + +// rays_o/d: [N, 3] +// grid: [CHHH / 8] +// xyzs, dirs, deltas: [M, 3], [M, 3], [M, 2] +// dirs: [M, 3] +// rays: [N, 3], idx, offset, num_steps +template +__global__ void kernel_march_rays_train( + const scalar_t * __restrict__ rays_o, + const scalar_t * __restrict__ rays_d, + const uint8_t * __restrict__ grid, + const float bound, + const float dt_gamma, const uint32_t max_steps, + const uint32_t N, const uint32_t C, const uint32_t H, const uint32_t M, + const scalar_t* __restrict__ nears, + const scalar_t* __restrict__ fars, + scalar_t * xyzs, scalar_t * dirs, scalar_t * deltas, + int * rays, + int * counter, + const scalar_t* __restrict__ noises +) { + // parallel per ray + const uint32_t n = threadIdx.x + blockIdx.x * blockDim.x; + if (n >= N) return; + + // locate + rays_o += n * 3; + rays_d += n * 3; + + // ray marching + const float ox = rays_o[0], oy = rays_o[1], oz = rays_o[2]; + const float dx = rays_d[0], dy = rays_d[1], dz = rays_d[2]; + const float rdx = 1 / dx, rdy = 1 / dy, rdz = 1 / dz; + const float rH = 1 / (float)H; + const float H3 = H * H * H; + + const float near = nears[n]; + const float far = fars[n]; + const float noise = noises[n]; + + const float dt_max = 2 * SQRT3() * (1 << (C - 1)) / H; + const float dt_min = fminf(dt_max, 2 * SQRT3() / max_steps); + + float t0 = near; + + // perturb + t0 += clamp(t0 * dt_gamma, dt_min, dt_max) * noise; + + // first pass: estimation of num_steps + float t = t0; + uint32_t num_steps = 0; + + //if (t < far) printf("valid ray %d t=%f near=%f far=%f \n", n, t, near, far); + + while (t < far && num_steps < max_steps) { + // current point + const float x = clamp(ox + t * dx, -bound, bound); + const float y = clamp(oy + t * dy, -bound, bound); + const float z = clamp(oz + t * dz, -bound, bound); + + const float dt = clamp(t * dt_gamma, dt_min, dt_max); + + // get mip level + const int level = max(mip_from_pos(x, y, z, C), mip_from_dt(dt, H, C)); // range in [0, C - 1] + + const float mip_bound = fminf(scalbnf(1.0f, level), bound); + const float mip_rbound = 1 / mip_bound; + + // convert to nearest grid position + const int nx = clamp(0.5 * (x * mip_rbound + 1) * H, 0.0f, (float)(H - 1)); + const int ny = clamp(0.5 * (y * mip_rbound + 1) * H, 0.0f, (float)(H - 1)); + const int nz = clamp(0.5 * (z * mip_rbound + 1) * H, 0.0f, (float)(H - 1)); + + const uint32_t index = level * H3 + __morton3D(nx, ny, nz); + const bool occ = grid[index / 8] & (1 << (index % 8)); + + // if occpuied, advance a small step, and write to output + //if (n == 0) printf("t=%f density=%f vs thresh=%f step=%d\n", t, density, density_thresh, num_steps); + + if (occ) { + num_steps++; + t += dt; + // else, skip a large step (basically skip a voxel grid) + } else { + // calc distance to next voxel + const float tx = (((nx + 0.5f + 0.5f * signf(dx)) * rH * 2 - 1) * mip_bound - x) * rdx; + const float ty = (((ny + 0.5f + 0.5f * signf(dy)) * rH * 2 - 1) * mip_bound - y) * rdy; + const float tz = (((nz + 0.5f + 0.5f * signf(dz)) * rH * 2 - 1) * mip_bound - z) * rdz; + + const float tt = t + fmaxf(0.0f, fminf(tx, fminf(ty, tz))); + // step until next voxel + do { + t += clamp(t * dt_gamma, dt_min, dt_max); + } while (t < tt); + } + } + + //printf("[n=%d] num_steps=%d, near=%f, far=%f, dt=%f, max_steps=%f\n", n, num_steps, near, far, dt_min, (far - near) / dt_min); + + // second pass: really locate and write points & dirs + uint32_t point_index = atomicAdd(counter, num_steps); + uint32_t ray_index = atomicAdd(counter + 1, 1); + + //printf("[n=%d] num_steps=%d, point_index=%d, ray_index=%d\n", n, num_steps, point_index, ray_index); + + // write rays + rays[ray_index * 3] = n; + rays[ray_index * 3 + 1] = point_index; + rays[ray_index * 3 + 2] = num_steps; + + if (num_steps == 0) return; + if (point_index + num_steps > M) return; + + xyzs += point_index * 3; + dirs += point_index * 3; + deltas += point_index * 2; + + t = t0; + uint32_t step = 0; + + while (t < far && step < num_steps) { + // current point + const float x = clamp(ox + t * dx, -bound, bound); + const float y = clamp(oy + t * dy, -bound, bound); + const float z = clamp(oz + t * dz, -bound, bound); + + const float dt = clamp(t * dt_gamma, dt_min, dt_max); + + // get mip level + const int level = max(mip_from_pos(x, y, z, C), mip_from_dt(dt, H, C)); // range in [0, C - 1] + + const float mip_bound = fminf(scalbnf(1.0f, level), bound); + const float mip_rbound = 1 / mip_bound; + + // convert to nearest grid position + const int nx = clamp(0.5 * (x * mip_rbound + 1) * H, 0.0f, (float)(H - 1)); + const int ny = clamp(0.5 * (y * mip_rbound + 1) * H, 0.0f, (float)(H - 1)); + const int nz = clamp(0.5 * (z * mip_rbound + 1) * H, 0.0f, (float)(H - 1)); + + // query grid + const uint32_t index = level * H3 + __morton3D(nx, ny, nz); + const bool occ = grid[index / 8] & (1 << (index % 8)); + + // if occpuied, advance a small step, and write to output + if (occ) { + // write step + xyzs[0] = x; + xyzs[1] = y; + xyzs[2] = z; + dirs[0] = dx; + dirs[1] = dy; + dirs[2] = dz; + t += dt; + deltas[0] = dt; + deltas[1] = t; // used to calc depth + xyzs += 3; + dirs += 3; + deltas += 2; + step++; + // else, skip a large step (basically skip a voxel grid) + } else { + // calc distance to next voxel + const float tx = (((nx + 0.5f + 0.5f * signf(dx)) * rH * 2 - 1) * mip_bound - x) * rdx; + const float ty = (((ny + 0.5f + 0.5f * signf(dy)) * rH * 2 - 1) * mip_bound - y) * rdy; + const float tz = (((nz + 0.5f + 0.5f * signf(dz)) * rH * 2 - 1) * mip_bound - z) * rdz; + const float tt = t + fmaxf(0.0f, fminf(tx, fminf(ty, tz))); + // step until next voxel + do { + t += clamp(t * dt_gamma, dt_min, dt_max); + } while (t < tt); + } + } +} + +void march_rays_train(const at::Tensor rays_o, const at::Tensor rays_d, const at::Tensor grid, const float bound, const float dt_gamma, const uint32_t max_steps, const uint32_t N, const uint32_t C, const uint32_t H, const uint32_t M, const at::Tensor nears, const at::Tensor fars, at::Tensor xyzs, at::Tensor dirs, at::Tensor deltas, at::Tensor rays, at::Tensor counter, at::Tensor noises) { + + static constexpr uint32_t N_THREAD = 128; + + AT_DISPATCH_FLOATING_TYPES_AND_HALF( + rays_o.scalar_type(), "march_rays_train", ([&] { + kernel_march_rays_train<<>>(rays_o.data_ptr(), rays_d.data_ptr(), grid.data_ptr(), bound, dt_gamma, max_steps, N, C, H, M, nears.data_ptr(), fars.data_ptr(), xyzs.data_ptr(), dirs.data_ptr(), deltas.data_ptr(), rays.data_ptr(), counter.data_ptr(), noises.data_ptr()); + })); +} + + +// grad_xyzs/dirs: [M, 3] +// rays: [N, 3] +// deltas: [M, 2] +// grad_rays_o/d: [N, 3] +template +__global__ void kernel_march_rays_train_backward( + const scalar_t * __restrict__ grad_xyzs, + const scalar_t * __restrict__ grad_dirs, + const int * __restrict__ rays, + const scalar_t * __restrict__ deltas, + const uint32_t N, const uint32_t M, + scalar_t * grad_rays_o, + scalar_t * grad_rays_d +) { + // parallel per ray + const uint32_t n = threadIdx.x + blockIdx.x * blockDim.x; + if (n >= N) return; + + // locate + grad_rays_o += n * 3; + grad_rays_d += n * 3; + + uint32_t index = rays[n * 3]; + uint32_t offset = rays[n * 3 + 1]; + uint32_t num_steps = rays[n * 3 + 2]; + + // empty ray, or ray that exceed max step count. + if (num_steps == 0 || offset + num_steps > M) return; + + grad_xyzs += offset * 3; + grad_dirs += offset * 3; + deltas += offset * 2; + + // accumulate + uint32_t step = 0; + while (step < num_steps) { + + grad_rays_o[0] += grad_xyzs[0]; + grad_rays_o[1] += grad_xyzs[1]; + grad_rays_o[2] += grad_xyzs[2]; + + grad_rays_d[0] += grad_xyzs[0] * deltas[1] + grad_dirs[0]; + grad_rays_d[1] += grad_xyzs[1] * deltas[1] + grad_dirs[1]; + grad_rays_d[2] += grad_xyzs[2] * deltas[1] + grad_dirs[2]; + + // locate + grad_xyzs += 3; + grad_dirs += 3; + deltas += 2; + + step++; + } +} + +void march_rays_train_backward(const at::Tensor grad_xyzs, const at::Tensor grad_dirs, const at::Tensor rays, const at::Tensor deltas, const uint32_t N, const uint32_t M, at::Tensor grad_rays_o, at::Tensor grad_rays_d) { + + static constexpr uint32_t N_THREAD = 128; + + AT_DISPATCH_FLOATING_TYPES_AND_HALF( + grad_xyzs.scalar_type(), "march_rays_train_backward", ([&] { + kernel_march_rays_train_backward<<>>(grad_xyzs.data_ptr(), grad_dirs.data_ptr(), rays.data_ptr(), deltas.data_ptr(), N, M, grad_rays_o.data_ptr(), grad_rays_d.data_ptr()); + })); +} + + +// sigmas: [M] +// rgbs: [M, 3] +// deltas: [M, 2] +// rays: [N, 3], idx, offset, num_steps +// weights_sum: [N], final pixel alpha +// depth: [N,] +// image: [N, 3] +template +__global__ void kernel_composite_rays_train_forward( + const scalar_t * __restrict__ sigmas, + const scalar_t * __restrict__ rgbs, + const scalar_t * __restrict__ ambient, + const scalar_t * __restrict__ deltas, + const int * __restrict__ rays, + const uint32_t M, const uint32_t N, const float T_thresh, + scalar_t * weights_sum, + scalar_t * ambient_sum, + scalar_t * depth, + scalar_t * image +) { + // parallel per ray + const uint32_t n = threadIdx.x + blockIdx.x * blockDim.x; + if (n >= N) return; + + // locate + uint32_t index = rays[n * 3]; + uint32_t offset = rays[n * 3 + 1]; + uint32_t num_steps = rays[n * 3 + 2]; + + // empty ray, or ray that exceed max step count. + if (num_steps == 0 || offset + num_steps > M) { + weights_sum[index] = 0; + ambient_sum[index] = 0; + depth[index] = 0; + image[index * 3] = 0; + image[index * 3 + 1] = 0; + image[index * 3 + 2] = 0; + return; + } + + sigmas += offset; + rgbs += offset * 3; + ambient += offset; + deltas += offset * 2; + + // accumulate + uint32_t step = 0; + + scalar_t T = 1.0f; + scalar_t r = 0, g = 0, b = 0, ws = 0, d = 0, amb = 0; + + while (step < num_steps) { + + const scalar_t alpha = 1.0f - __expf(- sigmas[0] * deltas[0]); + const scalar_t weight = alpha * T; + + r += weight * rgbs[0]; + g += weight * rgbs[1]; + b += weight * rgbs[2]; + + d += weight * deltas[1]; + + ws += weight; + + amb += ambient[0]; + + T *= 1.0f - alpha; + + // minimal remained transmittence + if (T < T_thresh) break; + + //printf("[n=%d] num_steps=%d, alpha=%f, w=%f, T=%f, sum_dt=%f, d=%f\n", n, step, alpha, weight, T, sum_delta, d); + + // locate + sigmas++; + rgbs += 3; + ambient++; + deltas += 2; + + step++; + } + + //printf("[n=%d] rgb=(%f, %f, %f), d=%f\n", n, r, g, b, d); + + // write + weights_sum[index] = ws; // weights_sum + ambient_sum[index] = amb; + depth[index] = d; + image[index * 3] = r; + image[index * 3 + 1] = g; + image[index * 3 + 2] = b; +} + + +void composite_rays_train_forward(const at::Tensor sigmas, const at::Tensor rgbs, const at::Tensor ambient, const at::Tensor deltas, const at::Tensor rays, const uint32_t M, const uint32_t N, const float T_thresh, at::Tensor weights_sum, at::Tensor ambient_sum, at::Tensor depth, at::Tensor image) { + + static constexpr uint32_t N_THREAD = 128; + + AT_DISPATCH_FLOATING_TYPES_AND_HALF( + sigmas.scalar_type(), "composite_rays_train_forward", ([&] { + kernel_composite_rays_train_forward<<>>(sigmas.data_ptr(), rgbs.data_ptr(), ambient.data_ptr(), deltas.data_ptr(), rays.data_ptr(), M, N, T_thresh, weights_sum.data_ptr(), ambient_sum.data_ptr(), depth.data_ptr(), image.data_ptr()); + })); +} + + +// grad_weights_sum: [N,] +// grad: [N, 3] +// sigmas: [M] +// rgbs: [M, 3] +// deltas: [M, 2] +// rays: [N, 3], idx, offset, num_steps +// weights_sum: [N,], weights_sum here +// image: [N, 3] +// grad_sigmas: [M] +// grad_rgbs: [M, 3] +template +__global__ void kernel_composite_rays_train_backward( + const scalar_t * __restrict__ grad_weights_sum, + const scalar_t * __restrict__ grad_ambient_sum, + const scalar_t * __restrict__ grad_image, + const scalar_t * __restrict__ sigmas, + const scalar_t * __restrict__ rgbs, + const scalar_t * __restrict__ ambient, + const scalar_t * __restrict__ deltas, + const int * __restrict__ rays, + const scalar_t * __restrict__ weights_sum, + const scalar_t * __restrict__ ambient_sum, + const scalar_t * __restrict__ image, + const uint32_t M, const uint32_t N, const float T_thresh, + scalar_t * grad_sigmas, + scalar_t * grad_rgbs, + scalar_t * grad_ambient +) { + // parallel per ray + const uint32_t n = threadIdx.x + blockIdx.x * blockDim.x; + if (n >= N) return; + + // locate + uint32_t index = rays[n * 3]; + uint32_t offset = rays[n * 3 + 1]; + uint32_t num_steps = rays[n * 3 + 2]; + + if (num_steps == 0 || offset + num_steps > M) return; + + grad_weights_sum += index; + grad_ambient_sum += index; + grad_image += index * 3; + weights_sum += index; + ambient_sum += index; + image += index * 3; + + sigmas += offset; + rgbs += offset * 3; + ambient += offset; + deltas += offset * 2; + + grad_sigmas += offset; + grad_rgbs += offset * 3; + grad_ambient += offset; + + // accumulate + uint32_t step = 0; + + scalar_t T = 1.0f; + const scalar_t r_final = image[0], g_final = image[1], b_final = image[2], ws_final = weights_sum[0]; + scalar_t r = 0, g = 0, b = 0, ws = 0; + + while (step < num_steps) { + + const scalar_t alpha = 1.0f - __expf(- sigmas[0] * deltas[0]); + const scalar_t weight = alpha * T; + + r += weight * rgbs[0]; + g += weight * rgbs[1]; + b += weight * rgbs[2]; + // amb += weight * ambient[0]; + ws += weight; + + T *= 1.0f - alpha; + + // check https://note.kiui.moe/others/nerf_gradient/ for the gradient calculation. + // write grad_rgbs + grad_rgbs[0] = grad_image[0] * weight; + grad_rgbs[1] = grad_image[1] * weight; + grad_rgbs[2] = grad_image[2] * weight; + + // write grad_ambient + grad_ambient[0] = grad_ambient_sum[0]; + + // write grad_sigmas + grad_sigmas[0] = deltas[0] * ( + grad_image[0] * (T * rgbs[0] - (r_final - r)) + + grad_image[1] * (T * rgbs[1] - (g_final - g)) + + grad_image[2] * (T * rgbs[2] - (b_final - b)) + + // grad_ambient_sum[0] * (T * ambient[0] - (amb_final - amb)) + + grad_weights_sum[0] * (1 - ws_final) + ); + + //printf("[n=%d] num_steps=%d, T=%f, grad_sigmas=%f, r_final=%f, r=%f\n", n, step, T, grad_sigmas[0], r_final, r); + // minimal remained transmittence + if (T < T_thresh) break; + + // locate + sigmas++; + rgbs += 3; + // ambient++; + deltas += 2; + grad_sigmas++; + grad_rgbs += 3; + grad_ambient++; + + step++; + } +} + + +void composite_rays_train_backward(const at::Tensor grad_weights_sum, const at::Tensor grad_ambient_sum, const at::Tensor grad_image, const at::Tensor sigmas, const at::Tensor rgbs, const at::Tensor ambient, const at::Tensor deltas, const at::Tensor rays, const at::Tensor weights_sum, const at::Tensor ambient_sum, const at::Tensor image, const uint32_t M, const uint32_t N, const float T_thresh, at::Tensor grad_sigmas, at::Tensor grad_rgbs, at::Tensor grad_ambient) { + + static constexpr uint32_t N_THREAD = 128; + + AT_DISPATCH_FLOATING_TYPES_AND_HALF( + grad_image.scalar_type(), "composite_rays_train_backward", ([&] { + kernel_composite_rays_train_backward<<>>(grad_weights_sum.data_ptr(), grad_ambient_sum.data_ptr(), grad_image.data_ptr(), sigmas.data_ptr(), rgbs.data_ptr(), ambient.data_ptr(), deltas.data_ptr(), rays.data_ptr(), weights_sum.data_ptr(), ambient_sum.data_ptr(), image.data_ptr(), M, N, T_thresh, grad_sigmas.data_ptr(), grad_rgbs.data_ptr(), grad_ambient.data_ptr()); + })); +} + + +//////////////////////////////////////////////////// +///////////// infernce ///////////// +//////////////////////////////////////////////////// + +template +__global__ void kernel_march_rays( + const uint32_t n_alive, + const uint32_t n_step, + const int* __restrict__ rays_alive, + const scalar_t* __restrict__ rays_t, + const scalar_t* __restrict__ rays_o, + const scalar_t* __restrict__ rays_d, + const float bound, + const float dt_gamma, const uint32_t max_steps, + const uint32_t C, const uint32_t H, + const uint8_t * __restrict__ grid, + const scalar_t* __restrict__ nears, + const scalar_t* __restrict__ fars, + scalar_t* xyzs, scalar_t* dirs, scalar_t* deltas, + const scalar_t* __restrict__ noises +) { + const uint32_t n = threadIdx.x + blockIdx.x * blockDim.x; + if (n >= n_alive) return; + + const int index = rays_alive[n]; // ray id + const float noise = noises[n]; + + // locate + rays_o += index * 3; + rays_d += index * 3; + xyzs += n * n_step * 3; + dirs += n * n_step * 3; + deltas += n * n_step * 2; + + const float ox = rays_o[0], oy = rays_o[1], oz = rays_o[2]; + const float dx = rays_d[0], dy = rays_d[1], dz = rays_d[2]; + const float rdx = 1 / dx, rdy = 1 / dy, rdz = 1 / dz; + const float rH = 1 / (float)H; + const float H3 = H * H * H; + + float t = rays_t[index]; // current ray's t + const float near = nears[index], far = fars[index]; + + const float dt_max = 2 * SQRT3() * (1 << (C - 1)) / H; + const float dt_min = fminf(dt_max, 2 * SQRT3() / max_steps); + + // march for n_step steps, record points + uint32_t step = 0; + + // introduce some randomness + t += clamp(t * dt_gamma, dt_min, dt_max) * noise; + + while (t < far && step < n_step) { + // current point + const float x = clamp(ox + t * dx, -bound, bound); + const float y = clamp(oy + t * dy, -bound, bound); + const float z = clamp(oz + t * dz, -bound, bound); + + const float dt = clamp(t * dt_gamma, dt_min, dt_max); + + // get mip level + const int level = max(mip_from_pos(x, y, z, C), mip_from_dt(dt, H, C)); // range in [0, C - 1] + + const float mip_bound = fminf(scalbnf(1, level), bound); + const float mip_rbound = 1 / mip_bound; + + // convert to nearest grid position + const int nx = clamp(0.5 * (x * mip_rbound + 1) * H, 0.0f, (float)(H - 1)); + const int ny = clamp(0.5 * (y * mip_rbound + 1) * H, 0.0f, (float)(H - 1)); + const int nz = clamp(0.5 * (z * mip_rbound + 1) * H, 0.0f, (float)(H - 1)); + + const uint32_t index = level * H3 + __morton3D(nx, ny, nz); + const bool occ = grid[index / 8] & (1 << (index % 8)); + + // if occpuied, advance a small step, and write to output + if (occ) { + // write step + xyzs[0] = x; + xyzs[1] = y; + xyzs[2] = z; + dirs[0] = dx; + dirs[1] = dy; + dirs[2] = dz; + // calc dt + t += dt; + deltas[0] = dt; + deltas[1] = t; // used to calc depth + // step + xyzs += 3; + dirs += 3; + deltas += 2; + step++; + + // else, skip a large step (basically skip a voxel grid) + } else { + // calc distance to next voxel + const float tx = (((nx + 0.5f + 0.5f * signf(dx)) * rH * 2 - 1) * mip_bound - x) * rdx; + const float ty = (((ny + 0.5f + 0.5f * signf(dy)) * rH * 2 - 1) * mip_bound - y) * rdy; + const float tz = (((nz + 0.5f + 0.5f * signf(dz)) * rH * 2 - 1) * mip_bound - z) * rdz; + const float tt = t + fmaxf(0.0f, fminf(tx, fminf(ty, tz))); + // step until next voxel + do { + t += clamp(t * dt_gamma, dt_min, dt_max); + } while (t < tt); + } + } +} + + +void march_rays(const uint32_t n_alive, const uint32_t n_step, const at::Tensor rays_alive, const at::Tensor rays_t, const at::Tensor rays_o, const at::Tensor rays_d, const float bound, const float dt_gamma, const uint32_t max_steps, const uint32_t C, const uint32_t H, const at::Tensor grid, const at::Tensor near, const at::Tensor far, at::Tensor xyzs, at::Tensor dirs, at::Tensor deltas, at::Tensor noises) { + static constexpr uint32_t N_THREAD = 128; + + AT_DISPATCH_FLOATING_TYPES_AND_HALF( + rays_o.scalar_type(), "march_rays", ([&] { + kernel_march_rays<<>>(n_alive, n_step, rays_alive.data_ptr(), rays_t.data_ptr(), rays_o.data_ptr(), rays_d.data_ptr(), bound, dt_gamma, max_steps, C, H, grid.data_ptr(), near.data_ptr(), far.data_ptr(), xyzs.data_ptr(), dirs.data_ptr(), deltas.data_ptr(), noises.data_ptr()); + })); +} + + +template +__global__ void kernel_composite_rays( + const uint32_t n_alive, + const uint32_t n_step, + const float T_thresh, + int* rays_alive, + scalar_t* rays_t, + const scalar_t* __restrict__ sigmas, + const scalar_t* __restrict__ rgbs, + const scalar_t* __restrict__ deltas, + scalar_t* weights_sum, scalar_t* depth, scalar_t* image +) { + const uint32_t n = threadIdx.x + blockIdx.x * blockDim.x; + if (n >= n_alive) return; + + const int index = rays_alive[n]; // ray id + + // locate + sigmas += n * n_step; + rgbs += n * n_step * 3; + deltas += n * n_step * 2; + + rays_t += index; + weights_sum += index; + depth += index; + image += index * 3; + + scalar_t t = rays_t[0]; // current ray's t + + scalar_t weight_sum = weights_sum[0]; + scalar_t d = depth[0]; + scalar_t r = image[0]; + scalar_t g = image[1]; + scalar_t b = image[2]; + + // accumulate + uint32_t step = 0; + while (step < n_step) { + + // ray is terminated if delta == 0 + if (deltas[0] == 0) break; + + const scalar_t alpha = 1.0f - __expf(- sigmas[0] * deltas[0]); + + /* + T_0 = 1; T_i = \prod_{j=0}^{i-1} (1 - alpha_j) + w_i = alpha_i * T_i + --> + T_i = 1 - \sum_{j=0}^{i-1} w_j + */ + const scalar_t T = 1 - weight_sum; + const scalar_t weight = alpha * T; + weight_sum += weight; + + t = deltas[1]; + d += weight * t; + r += weight * rgbs[0]; + g += weight * rgbs[1]; + b += weight * rgbs[2]; + + //printf("[n=%d] num_steps=%d, alpha=%f, w=%f, T=%f, sum_dt=%f, d=%f\n", n, step, alpha, weight, T, sum_delta, d); + + // ray is terminated if T is too small + // use a larger bound to further accelerate inference + if (T < T_thresh) break; + + // locate + sigmas++; + rgbs += 3; + deltas += 2; + step++; + } + + //printf("[n=%d] rgb=(%f, %f, %f), d=%f\n", n, r, g, b, d); + + // rays_alive = -1 means ray is terminated early. + if (step < n_step) { + rays_alive[n] = -1; + } else { + rays_t[0] = t; + } + + weights_sum[0] = weight_sum; // this is the thing I needed! + depth[0] = d; + image[0] = r; + image[1] = g; + image[2] = b; +} + + +void composite_rays(const uint32_t n_alive, const uint32_t n_step, const float T_thresh, at::Tensor rays_alive, at::Tensor rays_t, at::Tensor sigmas, at::Tensor rgbs, at::Tensor deltas, at::Tensor weights, at::Tensor depth, at::Tensor image) { + static constexpr uint32_t N_THREAD = 128; + AT_DISPATCH_FLOATING_TYPES_AND_HALF( + image.scalar_type(), "composite_rays", ([&] { + kernel_composite_rays<<>>(n_alive, n_step, T_thresh, rays_alive.data_ptr(), rays_t.data_ptr(), sigmas.data_ptr(), rgbs.data_ptr(), deltas.data_ptr(), weights.data_ptr(), depth.data_ptr(), image.data_ptr()); + })); +} + + + +template +__global__ void kernel_composite_rays_ambient( + const uint32_t n_alive, + const uint32_t n_step, + const float T_thresh, + int* rays_alive, + scalar_t* rays_t, + const scalar_t* __restrict__ sigmas, + const scalar_t* __restrict__ rgbs, + const scalar_t* __restrict__ deltas, + const scalar_t* __restrict__ ambients, + scalar_t* weights_sum, scalar_t* depth, scalar_t* image, scalar_t* ambient_sum +) { + const uint32_t n = threadIdx.x + blockIdx.x * blockDim.x; + if (n >= n_alive) return; + + const int index = rays_alive[n]; // ray id + + // locate + sigmas += n * n_step; + rgbs += n * n_step * 3; + deltas += n * n_step * 2; + ambients += n * n_step; + + rays_t += index; + weights_sum += index; + depth += index; + image += index * 3; + ambient_sum += index; + + scalar_t t = rays_t[0]; // current ray's t + + scalar_t weight_sum = weights_sum[0]; + scalar_t d = depth[0]; + scalar_t r = image[0]; + scalar_t g = image[1]; + scalar_t b = image[2]; + scalar_t a = ambient_sum[0]; + + // accumulate + uint32_t step = 0; + while (step < n_step) { + + // ray is terminated if delta == 0 + if (deltas[0] == 0) break; + + const scalar_t alpha = 1.0f - __expf(- sigmas[0] * deltas[0]); + + /* + T_0 = 1; T_i = \prod_{j=0}^{i-1} (1 - alpha_j) + w_i = alpha_i * T_i + --> + T_i = 1 - \sum_{j=0}^{i-1} w_j + */ + const scalar_t T = 1 - weight_sum; + const scalar_t weight = alpha * T; + weight_sum += weight; + + t = deltas[1]; + d += weight * t; + r += weight * rgbs[0]; + g += weight * rgbs[1]; + b += weight * rgbs[2]; + a += ambients[0]; + + //printf("[n=%d] num_steps=%d, alpha=%f, w=%f, T=%f, sum_dt=%f, d=%f\n", n, step, alpha, weight, T, sum_delta, d); + + // ray is terminated if T is too small + // use a larger bound to further accelerate inference + if (T < T_thresh) break; + + // locate + sigmas++; + rgbs += 3; + deltas += 2; + step++; + ambients++; + } + + //printf("[n=%d] rgb=(%f, %f, %f), d=%f\n", n, r, g, b, d); + + // rays_alive = -1 means ray is terminated early. + if (step < n_step) { + rays_alive[n] = -1; + } else { + rays_t[0] = t; + } + + weights_sum[0] = weight_sum; // this is the thing I needed! + depth[0] = d; + image[0] = r; + image[1] = g; + image[2] = b; + ambient_sum[0] = a; +} + + +void composite_rays_ambient(const uint32_t n_alive, const uint32_t n_step, const float T_thresh, at::Tensor rays_alive, at::Tensor rays_t, at::Tensor sigmas, at::Tensor rgbs, at::Tensor deltas, at::Tensor ambients, at::Tensor weights, at::Tensor depth, at::Tensor image, at::Tensor ambient_sum) { + static constexpr uint32_t N_THREAD = 128; + AT_DISPATCH_FLOATING_TYPES_AND_HALF( + image.scalar_type(), "composite_rays_ambient", ([&] { + kernel_composite_rays_ambient<<>>(n_alive, n_step, T_thresh, rays_alive.data_ptr(), rays_t.data_ptr(), sigmas.data_ptr(), rgbs.data_ptr(), deltas.data_ptr(), ambients.data_ptr(), weights.data_ptr(), depth.data_ptr(), image.data_ptr(), ambient_sum.data_ptr()); + })); +} + + + + + + +// -------------------------------- sigma ambient ----------------------------- + +// sigmas: [M] +// rgbs: [M, 3] +// deltas: [M, 2] +// rays: [N, 3], idx, offset, num_steps +// weights_sum: [N], final pixel alpha +// depth: [N,] +// image: [N, 3] +template +__global__ void kernel_composite_rays_train_sigma_forward( + const scalar_t * __restrict__ sigmas, + const scalar_t * __restrict__ rgbs, + const scalar_t * __restrict__ ambient, + const scalar_t * __restrict__ deltas, + const int * __restrict__ rays, + const uint32_t M, const uint32_t N, const float T_thresh, + scalar_t * weights_sum, + scalar_t * ambient_sum, + scalar_t * depth, + scalar_t * image +) { + // parallel per ray + const uint32_t n = threadIdx.x + blockIdx.x * blockDim.x; + if (n >= N) return; + + // locate + uint32_t index = rays[n * 3]; + uint32_t offset = rays[n * 3 + 1]; + uint32_t num_steps = rays[n * 3 + 2]; + + // empty ray, or ray that exceed max step count. + if (num_steps == 0 || offset + num_steps > M) { + weights_sum[index] = 0; + ambient_sum[index] = 0; + depth[index] = 0; + image[index * 3] = 0; + image[index * 3 + 1] = 0; + image[index * 3 + 2] = 0; + return; + } + + sigmas += offset; + rgbs += offset * 3; + ambient += offset; + deltas += offset * 2; + + // accumulate + uint32_t step = 0; + + scalar_t T = 1.0f; + scalar_t r = 0, g = 0, b = 0, ws = 0, d = 0, amb = 0; + + while (step < num_steps) { + + const scalar_t alpha = 1.0f - __expf(- sigmas[0] * deltas[0]); + const scalar_t weight = alpha * T; + + r += weight * rgbs[0]; + g += weight * rgbs[1]; + b += weight * rgbs[2]; + + d += weight * deltas[1]; + + ws += weight; + + amb += weight * ambient[0]; + + T *= 1.0f - alpha; + + // minimal remained transmittence + if (T < T_thresh) break; + + //printf("[n=%d] num_steps=%d, alpha=%f, w=%f, T=%f, sum_dt=%f, d=%f\n", n, step, alpha, weight, T, sum_delta, d); + + // locate + sigmas++; + rgbs += 3; + ambient++; + deltas += 2; + + step++; + } + + //printf("[n=%d] rgb=(%f, %f, %f), d=%f\n", n, r, g, b, d); + + // write + weights_sum[index] = ws; // weights_sum + ambient_sum[index] = amb; + depth[index] = d; + image[index * 3] = r; + image[index * 3 + 1] = g; + image[index * 3 + 2] = b; +} + + +void composite_rays_train_sigma_forward(const at::Tensor sigmas, const at::Tensor rgbs, const at::Tensor ambient, const at::Tensor deltas, const at::Tensor rays, const uint32_t M, const uint32_t N, const float T_thresh, at::Tensor weights_sum, at::Tensor ambient_sum, at::Tensor depth, at::Tensor image) { + + static constexpr uint32_t N_THREAD = 128; + + AT_DISPATCH_FLOATING_TYPES_AND_HALF( + sigmas.scalar_type(), "composite_rays_train_sigma_forward", ([&] { + kernel_composite_rays_train_sigma_forward<<>>(sigmas.data_ptr(), rgbs.data_ptr(), ambient.data_ptr(), deltas.data_ptr(), rays.data_ptr(), M, N, T_thresh, weights_sum.data_ptr(), ambient_sum.data_ptr(), depth.data_ptr(), image.data_ptr()); + })); +} + + +// grad_weights_sum: [N,] +// grad: [N, 3] +// sigmas: [M] +// rgbs: [M, 3] +// deltas: [M, 2] +// rays: [N, 3], idx, offset, num_steps +// weights_sum: [N,], weights_sum here +// image: [N, 3] +// grad_sigmas: [M] +// grad_rgbs: [M, 3] +template +__global__ void kernel_composite_rays_train_sigma_backward( + const scalar_t * __restrict__ grad_weights_sum, + const scalar_t * __restrict__ grad_ambient_sum, + const scalar_t * __restrict__ grad_image, + const scalar_t * __restrict__ sigmas, + const scalar_t * __restrict__ rgbs, + const scalar_t * __restrict__ ambient, + const scalar_t * __restrict__ deltas, + const int * __restrict__ rays, + const scalar_t * __restrict__ weights_sum, + const scalar_t * __restrict__ ambient_sum, + const scalar_t * __restrict__ image, + const uint32_t M, const uint32_t N, const float T_thresh, + scalar_t * grad_sigmas, + scalar_t * grad_rgbs, + scalar_t * grad_ambient +) { + // parallel per ray + const uint32_t n = threadIdx.x + blockIdx.x * blockDim.x; + if (n >= N) return; + + // locate + uint32_t index = rays[n * 3]; + uint32_t offset = rays[n * 3 + 1]; + uint32_t num_steps = rays[n * 3 + 2]; + + if (num_steps == 0 || offset + num_steps > M) return; + + grad_weights_sum += index; + grad_ambient_sum += index; + grad_image += index * 3; + weights_sum += index; + ambient_sum += index; + image += index * 3; + + sigmas += offset; + rgbs += offset * 3; + ambient += offset; + deltas += offset * 2; + + grad_sigmas += offset; + grad_rgbs += offset * 3; + grad_ambient += offset; + + // accumulate + uint32_t step = 0; + + scalar_t T = 1.0f; + const scalar_t r_final = image[0], g_final = image[1], b_final = image[2], ws_final = weights_sum[0], amb_final = ambient_sum[0]; + scalar_t r = 0, g = 0, b = 0, ws = 0, amb = 0; + + while (step < num_steps) { + + const scalar_t alpha = 1.0f - __expf(- sigmas[0] * deltas[0]); + const scalar_t weight = alpha * T; + + r += weight * rgbs[0]; + g += weight * rgbs[1]; + b += weight * rgbs[2]; + amb += weight * ambient[0]; + ws += weight; + + T *= 1.0f - alpha; + + // check https://note.kiui.moe/others/nerf_gradient/ for the gradient calculation. + // write grad_rgbs + grad_rgbs[0] = grad_image[0] * weight; + grad_rgbs[1] = grad_image[1] * weight; + grad_rgbs[2] = grad_image[2] * weight; + + // write grad_ambient + grad_ambient[0] = grad_ambient_sum[0] * weight; + + // write grad_sigmas + grad_sigmas[0] = deltas[0] * ( + grad_image[0] * (T * rgbs[0] - (r_final - r)) + + grad_image[1] * (T * rgbs[1] - (g_final - g)) + + grad_image[2] * (T * rgbs[2] - (b_final - b)) + + grad_ambient_sum[0] * (T * ambient[0] - (amb_final - amb)) + + grad_weights_sum[0] * (1 - ws_final) + ); + + //printf("[n=%d] num_steps=%d, T=%f, grad_sigmas=%f, r_final=%f, r=%f\n", n, step, T, grad_sigmas[0], r_final, r); + // minimal remained transmittence + if (T < T_thresh) break; + + // locate + sigmas++; + rgbs += 3; + ambient++; + deltas += 2; + grad_sigmas++; + grad_rgbs += 3; + grad_ambient++; + + step++; + } +} + + +void composite_rays_train_sigma_backward(const at::Tensor grad_weights_sum, const at::Tensor grad_ambient_sum, const at::Tensor grad_image, const at::Tensor sigmas, const at::Tensor rgbs, const at::Tensor ambient, const at::Tensor deltas, const at::Tensor rays, const at::Tensor weights_sum, const at::Tensor ambient_sum, const at::Tensor image, const uint32_t M, const uint32_t N, const float T_thresh, at::Tensor grad_sigmas, at::Tensor grad_rgbs, at::Tensor grad_ambient) { + + static constexpr uint32_t N_THREAD = 128; + + AT_DISPATCH_FLOATING_TYPES_AND_HALF( + grad_image.scalar_type(), "composite_rays_train_sigma_backward", ([&] { + kernel_composite_rays_train_sigma_backward<<>>(grad_weights_sum.data_ptr(), grad_ambient_sum.data_ptr(), grad_image.data_ptr(), sigmas.data_ptr(), rgbs.data_ptr(), ambient.data_ptr(), deltas.data_ptr(), rays.data_ptr(), weights_sum.data_ptr(), ambient_sum.data_ptr(), image.data_ptr(), M, N, T_thresh, grad_sigmas.data_ptr(), grad_rgbs.data_ptr(), grad_ambient.data_ptr()); + })); +} + + +//////////////////////////////////////////////////// +///////////// infernce ///////////// +//////////////////////////////////////////////////// + + +template +__global__ void kernel_composite_rays_ambient_sigma( + const uint32_t n_alive, + const uint32_t n_step, + const float T_thresh, + int* rays_alive, + scalar_t* rays_t, + const scalar_t* __restrict__ sigmas, + const scalar_t* __restrict__ rgbs, + const scalar_t* __restrict__ deltas, + const scalar_t* __restrict__ ambients, + scalar_t* weights_sum, scalar_t* depth, scalar_t* image, scalar_t* ambient_sum +) { + const uint32_t n = threadIdx.x + blockIdx.x * blockDim.x; + if (n >= n_alive) return; + + const int index = rays_alive[n]; // ray id + + // locate + sigmas += n * n_step; + rgbs += n * n_step * 3; + deltas += n * n_step * 2; + ambients += n * n_step; + + rays_t += index; + weights_sum += index; + depth += index; + image += index * 3; + ambient_sum += index; + + scalar_t t = rays_t[0]; // current ray's t + + scalar_t weight_sum = weights_sum[0]; + scalar_t d = depth[0]; + scalar_t r = image[0]; + scalar_t g = image[1]; + scalar_t b = image[2]; + scalar_t a = ambient_sum[0]; + + // accumulate + uint32_t step = 0; + while (step < n_step) { + + // ray is terminated if delta == 0 + if (deltas[0] == 0) break; + + const scalar_t alpha = 1.0f - __expf(- sigmas[0] * deltas[0]); + + /* + T_0 = 1; T_i = \prod_{j=0}^{i-1} (1 - alpha_j) + w_i = alpha_i * T_i + --> + T_i = 1 - \sum_{j=0}^{i-1} w_j + */ + const scalar_t T = 1 - weight_sum; + const scalar_t weight = alpha * T; + weight_sum += weight; + + t = deltas[1]; + d += weight * t; + r += weight * rgbs[0]; + g += weight * rgbs[1]; + b += weight * rgbs[2]; + a += weight * ambients[0]; + + //printf("[n=%d] num_steps=%d, alpha=%f, w=%f, T=%f, sum_dt=%f, d=%f\n", n, step, alpha, weight, T, sum_delta, d); + + // ray is terminated if T is too small + // use a larger bound to further accelerate inference + if (T < T_thresh) break; + + // locate + sigmas++; + rgbs += 3; + deltas += 2; + step++; + ambients++; + } + + //printf("[n=%d] rgb=(%f, %f, %f), d=%f\n", n, r, g, b, d); + + // rays_alive = -1 means ray is terminated early. + if (step < n_step) { + rays_alive[n] = -1; + } else { + rays_t[0] = t; + } + + weights_sum[0] = weight_sum; // this is the thing I needed! + depth[0] = d; + image[0] = r; + image[1] = g; + image[2] = b; + ambient_sum[0] = a; +} + + +void composite_rays_ambient_sigma(const uint32_t n_alive, const uint32_t n_step, const float T_thresh, at::Tensor rays_alive, at::Tensor rays_t, at::Tensor sigmas, at::Tensor rgbs, at::Tensor deltas, at::Tensor ambients, at::Tensor weights, at::Tensor depth, at::Tensor image, at::Tensor ambient_sum) { + static constexpr uint32_t N_THREAD = 128; + AT_DISPATCH_FLOATING_TYPES_AND_HALF( + image.scalar_type(), "composite_rays_ambient_sigma", ([&] { + kernel_composite_rays_ambient_sigma<<>>(n_alive, n_step, T_thresh, rays_alive.data_ptr(), rays_t.data_ptr(), sigmas.data_ptr(), rgbs.data_ptr(), deltas.data_ptr(), ambients.data_ptr(), weights.data_ptr(), depth.data_ptr(), image.data_ptr(), ambient_sum.data_ptr()); + })); +} + + + + + + + +// -------------------------------- uncertainty ----------------------------- + +// sigmas: [M] +// rgbs: [M, 3] +// deltas: [M, 2] +// rays: [N, 3], idx, offset, num_steps +// weights_sum: [N], final pixel alpha +// depth: [N,] +// image: [N, 3] +template +__global__ void kernel_composite_rays_train_uncertainty_forward( + const scalar_t * __restrict__ sigmas, + const scalar_t * __restrict__ rgbs, + const scalar_t * __restrict__ ambient, + const scalar_t * __restrict__ uncertainty, + const scalar_t * __restrict__ deltas, + const int * __restrict__ rays, + const uint32_t M, const uint32_t N, const float T_thresh, + scalar_t * weights_sum, + scalar_t * ambient_sum, + scalar_t * uncertainty_sum, + scalar_t * depth, + scalar_t * image +) { + // parallel per ray + const uint32_t n = threadIdx.x + blockIdx.x * blockDim.x; + if (n >= N) return; + + // locate + uint32_t index = rays[n * 3]; + uint32_t offset = rays[n * 3 + 1]; + uint32_t num_steps = rays[n * 3 + 2]; + + // empty ray, or ray that exceed max step count. + if (num_steps == 0 || offset + num_steps > M) { + weights_sum[index] = 0; + ambient_sum[index] = 0; + uncertainty_sum[index] = 0; + depth[index] = 0; + image[index * 3] = 0; + image[index * 3 + 1] = 0; + image[index * 3 + 2] = 0; + return; + } + + sigmas += offset; + rgbs += offset * 3; + ambient += offset; + uncertainty += offset; + deltas += offset * 2; + + // accumulate + uint32_t step = 0; + + scalar_t T = 1.0f; + scalar_t r = 0, g = 0, b = 0, ws = 0, d = 0, amb = 0, unc = 0; + + while (step < num_steps) { + + const scalar_t alpha = 1.0f - __expf(- sigmas[0] * deltas[0]); + const scalar_t weight = alpha * T; + + r += weight * rgbs[0]; + g += weight * rgbs[1]; + b += weight * rgbs[2]; + + d += weight * deltas[1]; + + ws += weight; + + amb += ambient[0]; + unc += weight * uncertainty[0]; + + T *= 1.0f - alpha; + + // minimal remained transmittence + if (T < T_thresh) break; + + //printf("[n=%d] num_steps=%d, alpha=%f, w=%f, T=%f, sum_dt=%f, d=%f\n", n, step, alpha, weight, T, sum_delta, d); + + // locate + sigmas++; + rgbs += 3; + ambient++; + uncertainty++; + deltas += 2; + + step++; + } + + //printf("[n=%d] rgb=(%f, %f, %f), d=%f\n", n, r, g, b, d); + + // write + weights_sum[index] = ws; // weights_sum + ambient_sum[index] = amb; + uncertainty_sum[index] = unc; + depth[index] = d; + image[index * 3] = r; + image[index * 3 + 1] = g; + image[index * 3 + 2] = b; +} + + +void composite_rays_train_uncertainty_forward(const at::Tensor sigmas, const at::Tensor rgbs, const at::Tensor ambient, const at::Tensor uncertainty, const at::Tensor deltas, const at::Tensor rays, const uint32_t M, const uint32_t N, const float T_thresh, at::Tensor weights_sum, at::Tensor ambient_sum, at::Tensor uncertainty_sum, at::Tensor depth, at::Tensor image) { + + static constexpr uint32_t N_THREAD = 128; + + AT_DISPATCH_FLOATING_TYPES_AND_HALF( + sigmas.scalar_type(), "composite_rays_train_uncertainty_forward", ([&] { + kernel_composite_rays_train_uncertainty_forward<<>>(sigmas.data_ptr(), rgbs.data_ptr(), ambient.data_ptr(), uncertainty.data_ptr(), deltas.data_ptr(), rays.data_ptr(), M, N, T_thresh, weights_sum.data_ptr(), ambient_sum.data_ptr(), uncertainty_sum.data_ptr(), depth.data_ptr(), image.data_ptr()); + })); +} + + +// grad_weights_sum: [N,] +// grad: [N, 3] +// sigmas: [M] +// rgbs: [M, 3] +// deltas: [M, 2] +// rays: [N, 3], idx, offset, num_steps +// weights_sum: [N,], weights_sum here +// image: [N, 3] +// grad_sigmas: [M] +// grad_rgbs: [M, 3] +template +__global__ void kernel_composite_rays_train_uncertainty_backward( + const scalar_t * __restrict__ grad_weights_sum, + const scalar_t * __restrict__ grad_ambient_sum, + const scalar_t * __restrict__ grad_uncertainty_sum, + const scalar_t * __restrict__ grad_image, + const scalar_t * __restrict__ sigmas, + const scalar_t * __restrict__ rgbs, + const scalar_t * __restrict__ ambient, + const scalar_t * __restrict__ uncertainty, + const scalar_t * __restrict__ deltas, + const int * __restrict__ rays, + const scalar_t * __restrict__ weights_sum, + const scalar_t * __restrict__ ambient_sum, + const scalar_t * __restrict__ uncertainty_sum, + const scalar_t * __restrict__ image, + const uint32_t M, const uint32_t N, const float T_thresh, + scalar_t * grad_sigmas, + scalar_t * grad_rgbs, + scalar_t * grad_ambient, + scalar_t * grad_uncertainty +) { + // parallel per ray + const uint32_t n = threadIdx.x + blockIdx.x * blockDim.x; + if (n >= N) return; + + // locate + uint32_t index = rays[n * 3]; + uint32_t offset = rays[n * 3 + 1]; + uint32_t num_steps = rays[n * 3 + 2]; + + if (num_steps == 0 || offset + num_steps > M) return; + + grad_weights_sum += index; + grad_ambient_sum += index; + grad_uncertainty_sum += index; + grad_image += index * 3; + weights_sum += index; + ambient_sum += index; + uncertainty_sum += index; + image += index * 3; + + sigmas += offset; + rgbs += offset * 3; + ambient += offset; + uncertainty += offset; + deltas += offset * 2; + + grad_sigmas += offset; + grad_rgbs += offset * 3; + grad_ambient += offset; + grad_uncertainty += offset; + + // accumulate + uint32_t step = 0; + + scalar_t T = 1.0f; + const scalar_t r_final = image[0], g_final = image[1], b_final = image[2], ws_final = weights_sum[0], amb_final = ambient_sum[0], unc_final = uncertainty_sum[0]; + scalar_t r = 0, g = 0, b = 0, ws = 0, amb = 0, unc = 0; + + while (step < num_steps) { + + const scalar_t alpha = 1.0f - __expf(- sigmas[0] * deltas[0]); + const scalar_t weight = alpha * T; + + r += weight * rgbs[0]; + g += weight * rgbs[1]; + b += weight * rgbs[2]; + // amb += ambient[0]; + unc += weight * uncertainty[0]; + ws += weight; + + T *= 1.0f - alpha; + + // check https://note.kiui.moe/others/nerf_gradient/ for the gradient calculation. + // write grad_rgbs + grad_rgbs[0] = grad_image[0] * weight; + grad_rgbs[1] = grad_image[1] * weight; + grad_rgbs[2] = grad_image[2] * weight; + + // write grad_ambient + grad_ambient[0] = grad_ambient_sum[0]; + + // write grad_unc + grad_uncertainty[0] = grad_uncertainty_sum[0] * weight; + + // write grad_sigmas + grad_sigmas[0] = deltas[0] * ( + grad_image[0] * (T * rgbs[0] - (r_final - r)) + + grad_image[1] * (T * rgbs[1] - (g_final - g)) + + grad_image[2] * (T * rgbs[2] - (b_final - b)) + + // grad_ambient_sum[0] * (T * ambient[0] - (amb_final - amb)) + + grad_uncertainty_sum[0] * (T * uncertainty[0] - (unc_final - unc)) + + grad_weights_sum[0] * (1 - ws_final) + ); + + //printf("[n=%d] num_steps=%d, T=%f, grad_sigmas=%f, r_final=%f, r=%f\n", n, step, T, grad_sigmas[0], r_final, r); + // minimal remained transmittence + if (T < T_thresh) break; + + // locate + sigmas++; + rgbs += 3; + // ambient++; + uncertainty++; + deltas += 2; + grad_sigmas++; + grad_rgbs += 3; + grad_ambient++; + grad_uncertainty++; + + step++; + } +} + + +void composite_rays_train_uncertainty_backward(const at::Tensor grad_weights_sum, const at::Tensor grad_ambient_sum, const at::Tensor grad_uncertainty_sum, const at::Tensor grad_image, const at::Tensor sigmas, const at::Tensor rgbs, const at::Tensor ambient, const at::Tensor uncertainty, const at::Tensor deltas, const at::Tensor rays, const at::Tensor weights_sum, const at::Tensor ambient_sum, const at::Tensor uncertainty_sum, const at::Tensor image, const uint32_t M, const uint32_t N, const float T_thresh, at::Tensor grad_sigmas, at::Tensor grad_rgbs, at::Tensor grad_ambient, at::Tensor grad_uncertainty) { + + static constexpr uint32_t N_THREAD = 128; + + AT_DISPATCH_FLOATING_TYPES_AND_HALF( + grad_image.scalar_type(), "composite_rays_train_uncertainty_backward", ([&] { + kernel_composite_rays_train_uncertainty_backward<<>>(grad_weights_sum.data_ptr(), grad_ambient_sum.data_ptr(), grad_uncertainty_sum.data_ptr(), grad_image.data_ptr(), sigmas.data_ptr(), rgbs.data_ptr(), ambient.data_ptr(), uncertainty.data_ptr(), deltas.data_ptr(), rays.data_ptr(), weights_sum.data_ptr(), ambient_sum.data_ptr(), uncertainty_sum.data_ptr(), image.data_ptr(), M, N, T_thresh, grad_sigmas.data_ptr(), grad_rgbs.data_ptr(), grad_ambient.data_ptr(), grad_uncertainty.data_ptr()); + })); +} + + +//////////////////////////////////////////////////// +///////////// infernce ///////////// +//////////////////////////////////////////////////// + + +template +__global__ void kernel_composite_rays_uncertainty( + const uint32_t n_alive, + const uint32_t n_step, + const float T_thresh, + int* rays_alive, + scalar_t* rays_t, + const scalar_t* __restrict__ sigmas, + const scalar_t* __restrict__ rgbs, + const scalar_t* __restrict__ deltas, + const scalar_t* __restrict__ ambients, + const scalar_t* __restrict__ uncertainties, + scalar_t* weights_sum, scalar_t* depth, scalar_t* image, scalar_t* ambient_sum, scalar_t* uncertainty_sum +) { + const uint32_t n = threadIdx.x + blockIdx.x * blockDim.x; + if (n >= n_alive) return; + + const int index = rays_alive[n]; // ray id + + // locate + sigmas += n * n_step; + rgbs += n * n_step * 3; + deltas += n * n_step * 2; + ambients += n * n_step; + uncertainties += n * n_step; + + rays_t += index; + weights_sum += index; + depth += index; + image += index * 3; + ambient_sum += index; + uncertainty_sum += index; + + scalar_t t = rays_t[0]; // current ray's t + + scalar_t weight_sum = weights_sum[0]; + scalar_t d = depth[0]; + scalar_t r = image[0]; + scalar_t g = image[1]; + scalar_t b = image[2]; + scalar_t a = ambient_sum[0]; + scalar_t u = uncertainty_sum[0]; + + // accumulate + uint32_t step = 0; + while (step < n_step) { + + // ray is terminated if delta == 0 + if (deltas[0] == 0) break; + + const scalar_t alpha = 1.0f - __expf(- sigmas[0] * deltas[0]); + + /* + T_0 = 1; T_i = \prod_{j=0}^{i-1} (1 - alpha_j) + w_i = alpha_i * T_i + --> + T_i = 1 - \sum_{j=0}^{i-1} w_j + */ + const scalar_t T = 1 - weight_sum; + const scalar_t weight = alpha * T; + weight_sum += weight; + + t = deltas[1]; + d += weight * t; + r += weight * rgbs[0]; + g += weight * rgbs[1]; + b += weight * rgbs[2]; + a += ambients[0]; + u += weight * uncertainties[0]; + + //printf("[n=%d] num_steps=%d, alpha=%f, w=%f, T=%f, sum_dt=%f, d=%f\n", n, step, alpha, weight, T, sum_delta, d); + + // ray is terminated if T is too small + // use a larger bound to further accelerate inference + if (T < T_thresh) break; + + // locate + sigmas++; + rgbs += 3; + deltas += 2; + step++; + ambients++; + uncertainties++; + } + + //printf("[n=%d] rgb=(%f, %f, %f), d=%f\n", n, r, g, b, d); + + // rays_alive = -1 means ray is terminated early. + if (step < n_step) { + rays_alive[n] = -1; + } else { + rays_t[0] = t; + } + + weights_sum[0] = weight_sum; // this is the thing I needed! + depth[0] = d; + image[0] = r; + image[1] = g; + image[2] = b; + ambient_sum[0] = a; + uncertainty_sum[0] = u; +} + + +void composite_rays_uncertainty(const uint32_t n_alive, const uint32_t n_step, const float T_thresh, at::Tensor rays_alive, at::Tensor rays_t, at::Tensor sigmas, at::Tensor rgbs, at::Tensor deltas, at::Tensor ambients, at::Tensor uncertainties, at::Tensor weights, at::Tensor depth, at::Tensor image, at::Tensor ambient_sum, at::Tensor uncertainty_sum) { + static constexpr uint32_t N_THREAD = 128; + AT_DISPATCH_FLOATING_TYPES_AND_HALF( + image.scalar_type(), "composite_rays_uncertainty", ([&] { + kernel_composite_rays_uncertainty<<>>(n_alive, n_step, T_thresh, rays_alive.data_ptr(), rays_t.data_ptr(), sigmas.data_ptr(), rgbs.data_ptr(), deltas.data_ptr(), ambients.data_ptr(), uncertainties.data_ptr(), weights.data_ptr(), depth.data_ptr(), image.data_ptr(), ambient_sum.data_ptr(), uncertainty_sum.data_ptr()); + })); +} + + + + +// -------------------------------- triplane ----------------------------- + +// sigmas: [M] +// rgbs: [M, 3] +// deltas: [M, 2] +// rays: [N, 3], idx, offset, num_steps +// weights_sum: [N], final pixel alpha +// depth: [N,] +// image: [N, 3] +template +__global__ void kernel_composite_rays_train_triplane_forward( + const scalar_t * __restrict__ sigmas, + const scalar_t * __restrict__ rgbs, + const scalar_t * __restrict__ amb_aud, + const scalar_t * __restrict__ amb_eye, + const scalar_t * __restrict__ uncertainty, + const scalar_t * __restrict__ deltas, + const int * __restrict__ rays, + const uint32_t M, const uint32_t N, const float T_thresh, + scalar_t * weights_sum, + scalar_t * amb_aud_sum, + scalar_t * amb_eye_sum, + scalar_t * uncertainty_sum, + scalar_t * depth, + scalar_t * image +) { + // parallel per ray + const uint32_t n = threadIdx.x + blockIdx.x * blockDim.x; + if (n >= N) return; + + // locate + uint32_t index = rays[n * 3]; + uint32_t offset = rays[n * 3 + 1]; + uint32_t num_steps = rays[n * 3 + 2]; + + // empty ray, or ray that exceed max step count. + if (num_steps == 0 || offset + num_steps > M) { + weights_sum[index] = 0; + amb_aud_sum[index] = 0; + amb_eye_sum[index] = 0; + uncertainty_sum[index] = 0; + depth[index] = 0; + image[index * 3] = 0; + image[index * 3 + 1] = 0; + image[index * 3 + 2] = 0; + return; + } + + sigmas += offset; + rgbs += offset * 3; + amb_aud += offset; + amb_eye += offset; + uncertainty += offset; + deltas += offset * 2; + + // accumulate + uint32_t step = 0; + + scalar_t T = 1.0f; + scalar_t r = 0, g = 0, b = 0, ws = 0, d = 0, a_aud = 0, a_eye=0, unc = 0; + + while (step < num_steps) { + + const scalar_t alpha = 1.0f - __expf(- sigmas[0] * deltas[0]); + const scalar_t weight = alpha * T; + + r += weight * rgbs[0]; + g += weight * rgbs[1]; + b += weight * rgbs[2]; + + d += weight * deltas[1]; + + ws += weight; + + a_aud += amb_aud[0]; + a_eye += amb_eye[0]; + unc += weight * uncertainty[0]; + + T *= 1.0f - alpha; + + // minimal remained transmittence + if (T < T_thresh) break; + + //printf("[n=%d] num_steps=%d, alpha=%f, w=%f, T=%f, sum_dt=%f, d=%f\n", n, step, alpha, weight, T, sum_delta, d); + + // locate + sigmas++; + rgbs += 3; + amb_aud++; + amb_eye++; + uncertainty++; + deltas += 2; + + step++; + } + + //printf("[n=%d] rgb=(%f, %f, %f), d=%f\n", n, r, g, b, d); + + // write + weights_sum[index] = ws; // weights_sum + amb_aud_sum[index] = a_aud; + amb_eye_sum[index] = a_eye; + uncertainty_sum[index] = unc; + depth[index] = d; + image[index * 3] = r; + image[index * 3 + 1] = g; + image[index * 3 + 2] = b; +} + + +void composite_rays_train_triplane_forward(const at::Tensor sigmas, const at::Tensor rgbs, const at::Tensor amb_aud, const at::Tensor amb_eye, const at::Tensor uncertainty, const at::Tensor deltas, const at::Tensor rays, const uint32_t M, const uint32_t N, const float T_thresh, at::Tensor weights_sum, at::Tensor amb_aud_sum, at::Tensor amb_eye_sum, at::Tensor uncertainty_sum, at::Tensor depth, at::Tensor image) { + + static constexpr uint32_t N_THREAD = 128; + + AT_DISPATCH_FLOATING_TYPES_AND_HALF( + sigmas.scalar_type(), "composite_rays_train_triplane_forward", ([&] { + kernel_composite_rays_train_triplane_forward<<>>(sigmas.data_ptr(), rgbs.data_ptr(), amb_aud.data_ptr(), amb_eye.data_ptr(), uncertainty.data_ptr(), deltas.data_ptr(), rays.data_ptr(), M, N, T_thresh, weights_sum.data_ptr(), amb_aud_sum.data_ptr(), amb_eye_sum.data_ptr(), uncertainty_sum.data_ptr(), depth.data_ptr(), image.data_ptr()); + })); +} + + +// grad_weights_sum: [N,] +// grad: [N, 3] +// sigmas: [M] +// rgbs: [M, 3] +// deltas: [M, 2] +// rays: [N, 3], idx, offset, num_steps +// weights_sum: [N,], weights_sum here +// image: [N, 3] +// grad_sigmas: [M] +// grad_rgbs: [M, 3] +template +__global__ void kernel_composite_rays_train_triplane_backward( + const scalar_t * __restrict__ grad_weights_sum, + const scalar_t * __restrict__ grad_amb_aud_sum, + const scalar_t * __restrict__ grad_amb_eye_sum, + const scalar_t * __restrict__ grad_uncertainty_sum, + const scalar_t * __restrict__ grad_image, + const scalar_t * __restrict__ sigmas, + const scalar_t * __restrict__ rgbs, + const scalar_t * __restrict__ amb_aud, + const scalar_t * __restrict__ amb_eye, + const scalar_t * __restrict__ uncertainty, + const scalar_t * __restrict__ deltas, + const int * __restrict__ rays, + const scalar_t * __restrict__ weights_sum, + const scalar_t * __restrict__ amb_aud_sum, + const scalar_t * __restrict__ amb_eye_sum, + const scalar_t * __restrict__ uncertainty_sum, + const scalar_t * __restrict__ image, + const uint32_t M, const uint32_t N, const float T_thresh, + scalar_t * grad_sigmas, + scalar_t * grad_rgbs, + scalar_t * grad_amb_aud, + scalar_t * grad_amb_eye, + scalar_t * grad_uncertainty +) { + // parallel per ray + const uint32_t n = threadIdx.x + blockIdx.x * blockDim.x; + if (n >= N) return; + + // locate + uint32_t index = rays[n * 3]; + uint32_t offset = rays[n * 3 + 1]; + uint32_t num_steps = rays[n * 3 + 2]; + + if (num_steps == 0 || offset + num_steps > M) return; + + grad_weights_sum += index; + grad_amb_aud_sum += index; + grad_amb_eye_sum += index; + grad_uncertainty_sum += index; + grad_image += index * 3; + weights_sum += index; + amb_aud_sum += index; + amb_eye_sum += index; + uncertainty_sum += index; + image += index * 3; + + sigmas += offset; + rgbs += offset * 3; + amb_aud += offset; + amb_eye += offset; + uncertainty += offset; + deltas += offset * 2; + + grad_sigmas += offset; + grad_rgbs += offset * 3; + grad_amb_aud += offset; + grad_amb_eye += offset; + grad_uncertainty += offset; + + // accumulate + uint32_t step = 0; + + scalar_t T = 1.0f; + const scalar_t r_final = image[0], g_final = image[1], b_final = image[2], ws_final = weights_sum[0], unc_final = uncertainty_sum[0]; + scalar_t r = 0, g = 0, b = 0, ws = 0, amb = 0, unc = 0; + + while (step < num_steps) { + + const scalar_t alpha = 1.0f - __expf(- sigmas[0] * deltas[0]); + const scalar_t weight = alpha * T; + + r += weight * rgbs[0]; + g += weight * rgbs[1]; + b += weight * rgbs[2]; + // amb += ambient[0]; + unc += weight * uncertainty[0]; + ws += weight; + + T *= 1.0f - alpha; + + // check https://note.kiui.moe/others/nerf_gradient/ for the gradient calculation. + // write grad_rgbs + grad_rgbs[0] = grad_image[0] * weight; + grad_rgbs[1] = grad_image[1] * weight; + grad_rgbs[2] = grad_image[2] * weight; + + // write grad_ambient + grad_amb_aud[0] = grad_amb_aud_sum[0]; + grad_amb_eye[0] = grad_amb_eye_sum[0]; + + // write grad_unc + grad_uncertainty[0] = grad_uncertainty_sum[0] * weight; + + // write grad_sigmas + grad_sigmas[0] = deltas[0] * ( + grad_image[0] * (T * rgbs[0] - (r_final - r)) + + grad_image[1] * (T * rgbs[1] - (g_final - g)) + + grad_image[2] * (T * rgbs[2] - (b_final - b)) + + // grad_ambient_sum[0] * (T * ambient[0] - (amb_final - amb)) + + grad_uncertainty_sum[0] * (T * uncertainty[0] - (unc_final - unc)) + + grad_weights_sum[0] * (1 - ws_final) + ); + + //printf("[n=%d] num_steps=%d, T=%f, grad_sigmas=%f, r_final=%f, r=%f\n", n, step, T, grad_sigmas[0], r_final, r); + // minimal remained transmittence + if (T < T_thresh) break; + + // locate + sigmas++; + rgbs += 3; + // ambient++; + uncertainty++; + deltas += 2; + grad_sigmas++; + grad_rgbs += 3; + grad_amb_aud++; + grad_amb_eye++; + grad_uncertainty++; + + step++; + } +} + + +void composite_rays_train_triplane_backward(const at::Tensor grad_weights_sum, const at::Tensor grad_amb_aud_sum, const at::Tensor grad_amb_eye_sum, const at::Tensor grad_uncertainty_sum, const at::Tensor grad_image, const at::Tensor sigmas, const at::Tensor rgbs, const at::Tensor amb_aud, const at::Tensor amb_eye, const at::Tensor uncertainty, const at::Tensor deltas, const at::Tensor rays, const at::Tensor weights_sum, const at::Tensor amb_aud_sum, const at::Tensor amb_eye_sum, const at::Tensor uncertainty_sum, const at::Tensor image, const uint32_t M, const uint32_t N, const float T_thresh, at::Tensor grad_sigmas, at::Tensor grad_rgbs, at::Tensor grad_amb_aud, at::Tensor grad_amb_eye, at::Tensor grad_uncertainty) { + + static constexpr uint32_t N_THREAD = 128; + + AT_DISPATCH_FLOATING_TYPES_AND_HALF( + grad_image.scalar_type(), "composite_rays_train_triplane_backward", ([&] { + kernel_composite_rays_train_triplane_backward<<>>(grad_weights_sum.data_ptr(), grad_amb_aud_sum.data_ptr(), grad_amb_eye_sum.data_ptr(), grad_uncertainty_sum.data_ptr(), grad_image.data_ptr(), sigmas.data_ptr(), rgbs.data_ptr(), amb_aud.data_ptr(), amb_eye.data_ptr(), uncertainty.data_ptr(), deltas.data_ptr(), rays.data_ptr(), weights_sum.data_ptr(), amb_aud_sum.data_ptr(), amb_eye_sum.data_ptr(), uncertainty_sum.data_ptr(), image.data_ptr(), M, N, T_thresh, grad_sigmas.data_ptr(), grad_rgbs.data_ptr(), grad_amb_aud.data_ptr(), grad_amb_eye.data_ptr(), grad_uncertainty.data_ptr()); + })); +} + + +//////////////////////////////////////////////////// +///////////// infernce ///////////// +//////////////////////////////////////////////////// + + +template +__global__ void kernel_composite_rays_triplane( + const uint32_t n_alive, + const uint32_t n_step, + const float T_thresh, + int* rays_alive, + scalar_t* rays_t, + const scalar_t* __restrict__ sigmas, + const scalar_t* __restrict__ rgbs, + const scalar_t* __restrict__ deltas, + const scalar_t* __restrict__ ambs_aud, + const scalar_t* __restrict__ ambs_eye, + const scalar_t* __restrict__ uncertainties, + scalar_t* weights_sum, scalar_t* depth, scalar_t* image, scalar_t* amb_aud_sum, scalar_t* amb_eye_sum, scalar_t* uncertainty_sum +) { + const uint32_t n = threadIdx.x + blockIdx.x * blockDim.x; + if (n >= n_alive) return; + + const int index = rays_alive[n]; // ray id + + // locate + sigmas += n * n_step; + rgbs += n * n_step * 3; + deltas += n * n_step * 2; + ambs_aud += n * n_step; + ambs_eye += n * n_step; + uncertainties += n * n_step; + + rays_t += index; + weights_sum += index; + depth += index; + image += index * 3; + amb_aud_sum += index; + amb_eye_sum += index; + uncertainty_sum += index; + + scalar_t t = rays_t[0]; // current ray's t + + scalar_t weight_sum = weights_sum[0]; + scalar_t d = depth[0]; + scalar_t r = image[0]; + scalar_t g = image[1]; + scalar_t b = image[2]; + scalar_t a_aud = amb_aud_sum[0]; + scalar_t a_eye = amb_eye_sum[0]; + scalar_t u = uncertainty_sum[0]; + + // accumulate + uint32_t step = 0; + while (step < n_step) { + + // ray is terminated if delta == 0 + if (deltas[0] == 0) break; + + const scalar_t alpha = 1.0f - __expf(- sigmas[0] * deltas[0]); + + /* + T_0 = 1; T_i = \prod_{j=0}^{i-1} (1 - alpha_j) + w_i = alpha_i * T_i + --> + T_i = 1 - \sum_{j=0}^{i-1} w_j + */ + const scalar_t T = 1 - weight_sum; + const scalar_t weight = alpha * T; + weight_sum += weight; + + t = deltas[1]; + d += weight * t; + r += weight * rgbs[0]; + g += weight * rgbs[1]; + b += weight * rgbs[2]; + a_aud += ambs_aud[0]; + a_eye += ambs_eye[0]; + u += weight * uncertainties[0]; + + //printf("[n=%d] num_steps=%d, alpha=%f, w=%f, T=%f, sum_dt=%f, d=%f\n", n, step, alpha, weight, T, sum_delta, d); + + // ray is terminated if T is too small + // use a larger bound to further accelerate inference + if (T < T_thresh) break; + + // locate + sigmas++; + rgbs += 3; + deltas += 2; + step++; + ambs_aud++; + ambs_eye++; + uncertainties++; + } + + //printf("[n=%d] rgb=(%f, %f, %f), d=%f\n", n, r, g, b, d); + + // rays_alive = -1 means ray is terminated early. + if (step < n_step) { + rays_alive[n] = -1; + } else { + rays_t[0] = t; + } + + weights_sum[0] = weight_sum; // this is the thing I needed! + depth[0] = d; + image[0] = r; + image[1] = g; + image[2] = b; + amb_aud_sum[0] = a_aud; + amb_eye_sum[0] = a_eye; + uncertainty_sum[0] = u; +} + + +void composite_rays_triplane(const uint32_t n_alive, const uint32_t n_step, const float T_thresh, at::Tensor rays_alive, at::Tensor rays_t, at::Tensor sigmas, at::Tensor rgbs, at::Tensor deltas, at::Tensor ambs_aud, at::Tensor ambs_eye, at::Tensor uncertainties, at::Tensor weights, at::Tensor depth, at::Tensor image, at::Tensor amb_aud_sum, at::Tensor amb_eye_sum, at::Tensor uncertainty_sum) { + static constexpr uint32_t N_THREAD = 128; + AT_DISPATCH_FLOATING_TYPES_AND_HALF( + image.scalar_type(), "composite_rays_triplane", ([&] { + kernel_composite_rays_triplane<<>>(n_alive, n_step, T_thresh, rays_alive.data_ptr(), rays_t.data_ptr(), sigmas.data_ptr(), rgbs.data_ptr(), deltas.data_ptr(), ambs_aud.data_ptr(), ambs_eye.data_ptr(), uncertainties.data_ptr(), weights.data_ptr(), depth.data_ptr(), image.data_ptr(), amb_aud_sum.data_ptr(), amb_eye_sum.data_ptr(), uncertainty_sum.data_ptr()); + })); +} diff --git a/NeRF/raymarching/src/raymarching.h b/NeRF/raymarching/src/raymarching.h new file mode 100644 index 0000000000000000000000000000000000000000..cd08969a52ffc057faa23cc69052879d4f0746bd --- /dev/null +++ b/NeRF/raymarching/src/raymarching.h @@ -0,0 +1,38 @@ +#pragma once + +#include +#include + + +void near_far_from_aabb(const at::Tensor rays_o, const at::Tensor rays_d, const at::Tensor aabb, const uint32_t N, const float min_near, at::Tensor nears, at::Tensor fars); +void sph_from_ray(const at::Tensor rays_o, const at::Tensor rays_d, const float radius, const uint32_t N, at::Tensor coords); +void morton3D(const at::Tensor coords, const uint32_t N, at::Tensor indices); +void morton3D_invert(const at::Tensor indices, const uint32_t N, at::Tensor coords); +void packbits(const at::Tensor grid, const uint32_t N, const float density_thresh, at::Tensor bitfield); +void morton3D_dilation(const at::Tensor grid, const uint32_t C, const uint32_t H, at::Tensor grid_dilation); + +void march_rays_train(const at::Tensor rays_o, const at::Tensor rays_d, const at::Tensor grid, const float bound, const float dt_gamma, const uint32_t max_steps, const uint32_t N, const uint32_t C, const uint32_t H, const uint32_t M, const at::Tensor nears, const at::Tensor fars, at::Tensor xyzs, at::Tensor dirs, at::Tensor deltas, at::Tensor rays, at::Tensor counter, at::Tensor noises); +void march_rays_train_backward(const at::Tensor grad_xyzs, const at::Tensor grad_dirs, const at::Tensor rays, const at::Tensor deltas, const uint32_t N, const uint32_t M, at::Tensor grad_rays_o, at::Tensor grad_rays_d); +void composite_rays_train_forward(const at::Tensor sigmas, const at::Tensor rgbs, const at::Tensor ambient, const at::Tensor deltas, const at::Tensor rays, const uint32_t M, const uint32_t N, const float T_thresh, at::Tensor weights_sum, at::Tensor ambient_sum, at::Tensor depth, at::Tensor image); +void composite_rays_train_backward(const at::Tensor grad_weights_sum, const at::Tensor grad_ambient_sum, const at::Tensor grad_image, const at::Tensor sigmas, const at::Tensor rgbs, const at::Tensor ambient, const at::Tensor deltas, const at::Tensor rays, const at::Tensor weights_sum, const at::Tensor ambient_sum, const at::Tensor image, const uint32_t M, const uint32_t N, const float T_thresh, at::Tensor grad_sigmas, at::Tensor grad_rgbs, at::Tensor grad_ambient); + +void march_rays(const uint32_t n_alive, const uint32_t n_step, const at::Tensor rays_alive, const at::Tensor rays_t, const at::Tensor rays_o, const at::Tensor rays_d, const float bound, const float dt_gamma, const uint32_t max_steps, const uint32_t C, const uint32_t H, const at::Tensor grid, const at::Tensor nears, const at::Tensor fars, at::Tensor xyzs, at::Tensor dirs, at::Tensor deltas, at::Tensor noises); +void composite_rays(const uint32_t n_alive, const uint32_t n_step, const float T_thresh, at::Tensor rays_alive, at::Tensor rays_t, at::Tensor sigmas, at::Tensor rgbs, at::Tensor deltas, at::Tensor weights_sum, at::Tensor depth, at::Tensor image); +void composite_rays_ambient(const uint32_t n_alive, const uint32_t n_step, const float T_thresh, at::Tensor rays_alive, at::Tensor rays_t, at::Tensor sigmas, at::Tensor rgbs, at::Tensor deltas, at::Tensor ambients, at::Tensor weights, at::Tensor depth, at::Tensor image, at::Tensor ambient_sum); + + +void composite_rays_train_sigma_forward(const at::Tensor sigmas, const at::Tensor rgbs, const at::Tensor ambient, const at::Tensor deltas, const at::Tensor rays, const uint32_t M, const uint32_t N, const float T_thresh, at::Tensor weights_sum, at::Tensor ambient_sum, at::Tensor depth, at::Tensor image); +void composite_rays_train_sigma_backward(const at::Tensor grad_weights_sum, const at::Tensor grad_ambient_sum, const at::Tensor grad_image, const at::Tensor sigmas, const at::Tensor rgbs, const at::Tensor ambient, const at::Tensor deltas, const at::Tensor rays, const at::Tensor weights_sum, const at::Tensor ambient_sum, const at::Tensor image, const uint32_t M, const uint32_t N, const float T_thresh, at::Tensor grad_sigmas, at::Tensor grad_rgbs, at::Tensor grad_ambient); + +void composite_rays_ambient_sigma(const uint32_t n_alive, const uint32_t n_step, const float T_thresh, at::Tensor rays_alive, at::Tensor rays_t, at::Tensor sigmas, at::Tensor rgbs, at::Tensor deltas, at::Tensor ambients, at::Tensor weights, at::Tensor depth, at::Tensor image, at::Tensor ambient_sum); + + +// uncertainty +void composite_rays_train_uncertainty_forward(const at::Tensor sigmas, const at::Tensor rgbs, const at::Tensor ambient, const at::Tensor uncertainty, const at::Tensor deltas, const at::Tensor rays, const uint32_t M, const uint32_t N, const float T_thresh, at::Tensor weights_sum, at::Tensor ambient_sum, at::Tensor uncertainty_sum, at::Tensor depth, at::Tensor image); +void composite_rays_train_uncertainty_backward(const at::Tensor grad_weights_sum, const at::Tensor grad_ambient_sum, const at::Tensor grad_uncertainty_sum, const at::Tensor grad_image, const at::Tensor sigmas, const at::Tensor rgbs, const at::Tensor ambient, const at::Tensor uncertainty, const at::Tensor deltas, const at::Tensor rays, const at::Tensor weights_sum, const at::Tensor ambient_sum, const at::Tensor uncertainty_sum, const at::Tensor image, const uint32_t M, const uint32_t N, const float T_thresh, at::Tensor grad_sigmas, at::Tensor grad_rgbs, at::Tensor grad_ambient, at::Tensor grad_uncertainty); +void composite_rays_uncertainty(const uint32_t n_alive, const uint32_t n_step, const float T_thresh, at::Tensor rays_alive, at::Tensor rays_t, at::Tensor sigmas, at::Tensor rgbs, at::Tensor deltas, at::Tensor ambients, at::Tensor uncertainties, at::Tensor weights, at::Tensor depth, at::Tensor image, at::Tensor ambient_sum, at::Tensor uncertainty_sum); + +// triplane +void composite_rays_train_triplane_forward(const at::Tensor sigmas, const at::Tensor rgbs, const at::Tensor amb_aud, const at::Tensor amb_eye, const at::Tensor uncertainty, const at::Tensor deltas, const at::Tensor rays, const uint32_t M, const uint32_t N, const float T_thresh, at::Tensor weights_sum, at::Tensor amb_aud_sum, at::Tensor amb_eye_sum, at::Tensor uncertainty_sum, at::Tensor depth, at::Tensor image); +void composite_rays_train_triplane_backward(const at::Tensor grad_weights_sum, const at::Tensor grad_amb_aud_sum, const at::Tensor grad_amb_eye_sum, const at::Tensor grad_uncertainty_sum, const at::Tensor grad_image, const at::Tensor sigmas, const at::Tensor rgbs, const at::Tensor amb_aud, const at::Tensor amb_eye, const at::Tensor uncertainty, const at::Tensor deltas, const at::Tensor rays, const at::Tensor weights_sum, const at::Tensor amb_aud_sum, const at::Tensor amb_eye_sum, const at::Tensor uncertainty_sum, const at::Tensor image, const uint32_t M, const uint32_t N, const float T_thresh, at::Tensor grad_sigmas, at::Tensor grad_rgbs, at::Tensor grad_amb_aud, at::Tensor grad_amb_eye, at::Tensor grad_uncertainty); +void composite_rays_triplane(const uint32_t n_alive, const uint32_t n_step, const float T_thresh, at::Tensor rays_alive, at::Tensor rays_t, at::Tensor sigmas, at::Tensor rgbs, at::Tensor deltas, at::Tensor ambs_aud, at::Tensor ambs_eye, at::Tensor uncertainties, at::Tensor weights, at::Tensor depth, at::Tensor image, at::Tensor amb_aud_sum, at::Tensor amb_eye_sum, at::Tensor uncertainty_sum); \ No newline at end of file diff --git a/NeRF/shencoder/__init__.py b/NeRF/shencoder/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..2b55c96efe1a86b2da660ccd961e48a8adc3803f --- /dev/null +++ b/NeRF/shencoder/__init__.py @@ -0,0 +1 @@ +from .sphere_harmonics import SHEncoder \ No newline at end of file diff --git a/NeRF/shencoder/backend.py b/NeRF/shencoder/backend.py new file mode 100644 index 0000000000000000000000000000000000000000..2b8d8812248cac3a449e1da71d6cc202ac796f2c --- /dev/null +++ b/NeRF/shencoder/backend.py @@ -0,0 +1,40 @@ +import os +from torch.utils.cpp_extension import load + +_src_path = os.path.dirname(os.path.abspath(__file__)) + +nvcc_flags = [ + '-O3', '-std=c++14', + '-U__CUDA_NO_HALF_OPERATORS__', '-U__CUDA_NO_HALF_CONVERSIONS__', '-U__CUDA_NO_HALF2_OPERATORS__', +] + +if os.name == "posix": + c_flags = ['-O3', '-std=c++14', '-finput-charset=utf-8'] +elif os.name == "nt": + c_flags = ['/O2', '/std:c++17', '/source-charset:utf-8'] + + # find cl.exe + def find_cl_path(): + import glob + for edition in ["Enterprise", "Professional", "BuildTools", "Community"]: + paths = sorted(glob.glob(r"C:\\Program Files (x86)\\Microsoft Visual Studio\\*\\%s\\VC\\Tools\\MSVC\\*\\bin\\Hostx64\\x64" % edition), reverse=True) + if paths: + return paths[0] + + # If cl.exe is not on path, try to find it. + if os.system("where cl.exe >nul 2>nul") != 0: + cl_path = find_cl_path() + if cl_path is None: + raise RuntimeError("Could not locate a supported Microsoft Visual C++ installation") + os.environ["PATH"] += ";" + cl_path + +_backend = load(name='_sh_encoder', + extra_cflags=c_flags, + extra_cuda_cflags=nvcc_flags, + sources=[os.path.join(_src_path, 'src', f) for f in [ + 'shencoder.cu', + 'bindings.cpp', + ]], + ) + +__all__ = ['_backend'] \ No newline at end of file diff --git a/NeRF/shencoder/setup.py b/NeRF/shencoder/setup.py new file mode 100644 index 0000000000000000000000000000000000000000..7ae3409aac8f6cd5f60335aecfc8818825fce400 --- /dev/null +++ b/NeRF/shencoder/setup.py @@ -0,0 +1,53 @@ +import os +from setuptools import setup +from torch.utils.cpp_extension import BuildExtension, CUDAExtension + +_src_path = os.path.dirname(os.path.abspath(__file__)) + +nvcc_flags = [ + '-O3', + # '-std=c++14', + '-std=c++17', + '-U__CUDA_NO_HALF_OPERATORS__', '-U__CUDA_NO_HALF_CONVERSIONS__', '-U__CUDA_NO_HALF2_OPERATORS__', +] + +if os.name == "posix": + # c_flags = ['-O3', '-std=c++14'] + c_flags = ['-O3', '-std=c++17'] +elif os.name == "nt": + c_flags = ['/O2', '/std:c++17'] + + # find cl.exe + def find_cl_path(): + import glob + for edition in ["Enterprise", "Professional", "BuildTools", "Community"]: + paths = sorted(glob.glob(r"C:\\Program Files (x86)\\Microsoft Visual Studio\\*\\%s\\VC\\Tools\\MSVC\\*\\bin\\Hostx64\\x64" % edition), reverse=True) + if paths: + return paths[0] + + # If cl.exe is not on path, try to find it. + if os.system("where cl.exe >nul 2>nul") != 0: + cl_path = find_cl_path() + if cl_path is None: + raise RuntimeError("Could not locate a supported Microsoft Visual C++ installation") + os.environ["PATH"] += ";" + cl_path + +setup( + name='shencoder', # package name, import this to use python API + ext_modules=[ + CUDAExtension( + name='_shencoder', # extension name, import this to use CUDA API + sources=[os.path.join(_src_path, 'src', f) for f in [ + 'shencoder.cu', + 'bindings.cpp', + ]], + extra_compile_args={ + 'cxx': c_flags, + 'nvcc': nvcc_flags, + } + ), + ], + cmdclass={ + 'build_ext': BuildExtension, + } +) \ No newline at end of file diff --git a/NeRF/shencoder/sphere_harmonics.py b/NeRF/shencoder/sphere_harmonics.py new file mode 100644 index 0000000000000000000000000000000000000000..84b17abe6e186ab638a6f4c99bd752c0e4210f24 --- /dev/null +++ b/NeRF/shencoder/sphere_harmonics.py @@ -0,0 +1,87 @@ +import numpy as np + +import torch +import torch.nn as nn +from torch.autograd import Function +from torch.autograd.function import once_differentiable +from torch.cuda.amp import custom_bwd, custom_fwd + +try: + import _shencoder as _backend +except ImportError: + from .backend import _backend + +class _sh_encoder(Function): + @staticmethod + @custom_fwd(cast_inputs=torch.float32) # force float32 for better precision + def forward(ctx, inputs, degree, calc_grad_inputs=False): + # inputs: [B, input_dim], float in [-1, 1] + # RETURN: [B, F], float + + inputs = inputs.contiguous() + B, input_dim = inputs.shape # batch size, coord dim + output_dim = degree ** 2 + + outputs = torch.empty(B, output_dim, dtype=inputs.dtype, device=inputs.device) + + if calc_grad_inputs: + dy_dx = torch.empty(B, input_dim * output_dim, dtype=inputs.dtype, device=inputs.device) + else: + dy_dx = None + + _backend.sh_encode_forward(inputs, outputs, B, input_dim, degree, dy_dx) + + ctx.save_for_backward(inputs, dy_dx) + ctx.dims = [B, input_dim, degree] + + return outputs + + @staticmethod + #@once_differentiable + @custom_bwd + def backward(ctx, grad): + # grad: [B, C * C] + + inputs, dy_dx = ctx.saved_tensors + + if dy_dx is not None: + grad = grad.contiguous() + B, input_dim, degree = ctx.dims + grad_inputs = torch.zeros_like(inputs) + _backend.sh_encode_backward(grad, inputs, B, input_dim, degree, dy_dx, grad_inputs) + return grad_inputs, None, None + else: + return None, None, None + + + +sh_encode = _sh_encoder.apply + + +class SHEncoder(nn.Module): + def __init__(self, input_dim=3, degree=4): + super().__init__() + + self.input_dim = input_dim # coord dims, must be 3 + self.degree = degree # 0 ~ 4 + self.output_dim = degree ** 2 + + assert self.input_dim == 3, "SH encoder only support input dim == 3" + assert self.degree > 0 and self.degree <= 8, "SH encoder only supports degree in [1, 8]" + + def __repr__(self): + return f"SHEncoder: input_dim={self.input_dim} degree={self.degree}" + + def forward(self, inputs, size=1): + # inputs: [..., input_dim], normalized real world positions in [-size, size] + # return: [..., degree^2] + + inputs = inputs / size # [-1, 1] + + prefix_shape = list(inputs.shape[:-1]) + inputs = inputs.reshape(-1, self.input_dim) + + outputs = sh_encode(inputs, self.degree, inputs.requires_grad) + outputs = outputs.reshape(prefix_shape + [self.output_dim]) + + return outputs \ No newline at end of file diff --git a/NeRF/shencoder/src/bindings.cpp b/NeRF/shencoder/src/bindings.cpp new file mode 100644 index 0000000000000000000000000000000000000000..8f3c3521673b963000f55547d7ed587ba40fcc9a --- /dev/null +++ b/NeRF/shencoder/src/bindings.cpp @@ -0,0 +1,8 @@ +#include + +#include "shencoder.h" + +PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) { + m.def("sh_encode_forward", &sh_encode_forward, "SH encode forward (CUDA)"); + m.def("sh_encode_backward", &sh_encode_backward, "SH encode backward (CUDA)"); +} \ No newline at end of file diff --git a/NeRF/shencoder/src/shencoder.cu b/NeRF/shencoder/src/shencoder.cu new file mode 100644 index 0000000000000000000000000000000000000000..52c29744fb9c9b03d9bcc73eb1ef084d1fc2daa6 --- /dev/null +++ b/NeRF/shencoder/src/shencoder.cu @@ -0,0 +1,439 @@ +#include + +#include +#include +#include + +#include +#include + +#include +#include + +#include + + +#define CHECK_CUDA(x) TORCH_CHECK(x.device().is_cuda(), #x " must be a CUDA tensor") +#define CHECK_CONTIGUOUS(x) TORCH_CHECK(x.is_contiguous(), #x " must be a contiguous tensor") +#define CHECK_IS_INT(x) TORCH_CHECK(x.scalar_type() == at::ScalarType::Int, #x " must be an int tensor") +#define CHECK_IS_FLOATING(x) TORCH_CHECK(x.scalar_type() == at::ScalarType::Float || x.scalar_type() == at::ScalarType::Half || x.scalar_type() == at::ScalarType::Double, #x " must be a floating tensor") + + +template +__host__ __device__ T div_round_up(T val, T divisor) { + return (val + divisor - 1) / divisor; +} + +template +__global__ void kernel_sh( + const scalar_t * __restrict__ inputs, + scalar_t * outputs, + uint32_t B, uint32_t D, uint32_t C, + scalar_t * dy_dx +) { + const uint32_t b = threadIdx.x + blockIdx.x * blockDim.x; + if (b >= B) return; + + const uint32_t C2 = C * C; + + // locate + inputs += b * D; + outputs += b * C2; + + scalar_t x = inputs[0], y = inputs[1], z = inputs[2]; + + scalar_t xy=x*y, xz=x*z, yz=y*z, x2=x*x, y2=y*y, z2=z*z, xyz=xy*z; + scalar_t x4=x2*x2, y4=y2*y2, z4=z2*z2; + scalar_t x6=x4*x2, y6=y4*y2, z6=z4*z2; + + auto write_sh = [&]() { + outputs[0] = 0.28209479177387814f ; // 1/(2*sqrt(pi)) + if (C <= 1) { return; } + outputs[1] = -0.48860251190291987f*y ; // -sqrt(3)*y/(2*sqrt(pi)) + outputs[2] = 0.48860251190291987f*z ; // sqrt(3)*z/(2*sqrt(pi)) + outputs[3] = -0.48860251190291987f*x ; // -sqrt(3)*x/(2*sqrt(pi)) + if (C <= 2) { return; } + outputs[4] = 1.0925484305920792f*xy ; // sqrt(15)*xy/(2*sqrt(pi)) + outputs[5] = -1.0925484305920792f*yz ; // -sqrt(15)*yz/(2*sqrt(pi)) + outputs[6] = 0.94617469575755997f*z2 - 0.31539156525251999f ; // sqrt(5)*(3*z2 - 1)/(4*sqrt(pi)) + outputs[7] = -1.0925484305920792f*xz ; // -sqrt(15)*xz/(2*sqrt(pi)) + outputs[8] = 0.54627421529603959f*x2 - 0.54627421529603959f*y2 ; // sqrt(15)*(x2 - y2)/(4*sqrt(pi)) + if (C <= 3) { return; } + outputs[9] = 0.59004358992664352f*y*(-3.0f*x2 + y2) ; // sqrt(70)*y*(-3*x2 + y2)/(8*sqrt(pi)) + outputs[10] = 2.8906114426405538f*xy*z ; // sqrt(105)*xy*z/(2*sqrt(pi)) + outputs[11] = 0.45704579946446572f*y*(1.0f - 5.0f*z2) ; // sqrt(42)*y*(1 - 5*z2)/(8*sqrt(pi)) + outputs[12] = 0.3731763325901154f*z*(5.0f*z2 - 3.0f) ; // sqrt(7)*z*(5*z2 - 3)/(4*sqrt(pi)) + outputs[13] = 0.45704579946446572f*x*(1.0f - 5.0f*z2) ; // sqrt(42)*x*(1 - 5*z2)/(8*sqrt(pi)) + outputs[14] = 1.4453057213202769f*z*(x2 - y2) ; // sqrt(105)*z*(x2 - y2)/(4*sqrt(pi)) + outputs[15] = 0.59004358992664352f*x*(-x2 + 3.0f*y2) ; // sqrt(70)*x*(-x2 + 3*y2)/(8*sqrt(pi)) + if (C <= 4) { return; } + outputs[16] = 2.5033429417967046f*xy*(x2 - y2) ; // 3*sqrt(35)*xy*(x2 - y2)/(4*sqrt(pi)) + outputs[17] = 1.7701307697799304f*yz*(-3.0f*x2 + y2) ; // 3*sqrt(70)*yz*(-3*x2 + y2)/(8*sqrt(pi)) + outputs[18] = 0.94617469575756008f*xy*(7.0f*z2 - 1.0f) ; // 3*sqrt(5)*xy*(7*z2 - 1)/(4*sqrt(pi)) + outputs[19] = 0.66904654355728921f*yz*(3.0f - 7.0f*z2) ; // 3*sqrt(10)*yz*(3 - 7*z2)/(8*sqrt(pi)) + outputs[20] = -3.1735664074561294f*z2 + 3.7024941420321507f*z4 + 0.31735664074561293f ; // 3*(-30*z2 + 35*z4 + 3)/(16*sqrt(pi)) + outputs[21] = 0.66904654355728921f*xz*(3.0f - 7.0f*z2) ; // 3*sqrt(10)*xz*(3 - 7*z2)/(8*sqrt(pi)) + outputs[22] = 0.47308734787878004f*(x2 - y2)*(7.0f*z2 - 1.0f) ; // 3*sqrt(5)*(x2 - y2)*(7*z2 - 1)/(8*sqrt(pi)) + outputs[23] = 1.7701307697799304f*xz*(-x2 + 3.0f*y2) ; // 3*sqrt(70)*xz*(-x2 + 3*y2)/(8*sqrt(pi)) + outputs[24] = -3.7550144126950569f*x2*y2 + 0.62583573544917614f*x4 + 0.62583573544917614f*y4 ; // 3*sqrt(35)*(-6*x2*y2 + x4 + y4)/(16*sqrt(pi)) + if (C <= 5) { return; } + outputs[25] = 0.65638205684017015f*y*(10.0f*x2*y2 - 5.0f*x4 - y4) ; // 3*sqrt(154)*y*(10*x2*y2 - 5*x4 - y4)/(32*sqrt(pi)) + outputs[26] = 8.3026492595241645f*xy*z*(x2 - y2) ; // 3*sqrt(385)*xy*z*(x2 - y2)/(4*sqrt(pi)) + outputs[27] = -0.48923829943525038f*y*(3.0f*x2 - y2)*(9.0f*z2 - 1.0f) ; // -sqrt(770)*y*(3*x2 - y2)*(9*z2 - 1)/(32*sqrt(pi)) + outputs[28] = 4.7935367849733241f*xy*z*(3.0f*z2 - 1.0f) ; // sqrt(1155)*xy*z*(3*z2 - 1)/(4*sqrt(pi)) + outputs[29] = 0.45294665119569694f*y*(14.0f*z2 - 21.0f*z4 - 1.0f) ; // sqrt(165)*y*(14*z2 - 21*z4 - 1)/(16*sqrt(pi)) + outputs[30] = 0.1169503224534236f*z*(-70.0f*z2 + 63.0f*z4 + 15.0f) ; // sqrt(11)*z*(-70*z2 + 63*z4 + 15)/(16*sqrt(pi)) + outputs[31] = 0.45294665119569694f*x*(14.0f*z2 - 21.0f*z4 - 1.0f) ; // sqrt(165)*x*(14*z2 - 21*z4 - 1)/(16*sqrt(pi)) + outputs[32] = 2.3967683924866621f*z*(x2 - y2)*(3.0f*z2 - 1.0f) ; // sqrt(1155)*z*(x2 - y2)*(3*z2 - 1)/(8*sqrt(pi)) + outputs[33] = -0.48923829943525038f*x*(x2 - 3.0f*y2)*(9.0f*z2 - 1.0f) ; // -sqrt(770)*x*(x2 - 3*y2)*(9*z2 - 1)/(32*sqrt(pi)) + outputs[34] = 2.0756623148810411f*z*(-6.0f*x2*y2 + x4 + y4) ; // 3*sqrt(385)*z*(-6*x2*y2 + x4 + y4)/(16*sqrt(pi)) + outputs[35] = 0.65638205684017015f*x*(10.0f*x2*y2 - x4 - 5.0f*y4) ; // 3*sqrt(154)*x*(10*x2*y2 - x4 - 5*y4)/(32*sqrt(pi)) + if (C <= 6) { return; } + outputs[36] = 1.3663682103838286f*xy*(-10.0f*x2*y2 + 3.0f*x4 + 3.0f*y4) ; // sqrt(6006)*xy*(-10*x2*y2 + 3*x4 + 3*y4)/(32*sqrt(pi)) + outputs[37] = 2.3666191622317521f*yz*(10.0f*x2*y2 - 5.0f*x4 - y4) ; // 3*sqrt(2002)*yz*(10*x2*y2 - 5*x4 - y4)/(32*sqrt(pi)) + outputs[38] = 2.0182596029148963f*xy*(x2 - y2)*(11.0f*z2 - 1.0f) ; // 3*sqrt(91)*xy*(x2 - y2)*(11*z2 - 1)/(8*sqrt(pi)) + outputs[39] = -0.92120525951492349f*yz*(3.0f*x2 - y2)*(11.0f*z2 - 3.0f) ; // -sqrt(2730)*yz*(3*x2 - y2)*(11*z2 - 3)/(32*sqrt(pi)) + outputs[40] = 0.92120525951492349f*xy*(-18.0f*z2 + 33.0f*z4 + 1.0f) ; // sqrt(2730)*xy*(-18*z2 + 33*z4 + 1)/(32*sqrt(pi)) + outputs[41] = 0.58262136251873131f*yz*(30.0f*z2 - 33.0f*z4 - 5.0f) ; // sqrt(273)*yz*(30*z2 - 33*z4 - 5)/(16*sqrt(pi)) + outputs[42] = 6.6747662381009842f*z2 - 20.024298714302954f*z4 + 14.684485723822165f*z6 - 0.31784601133814211f ; // sqrt(13)*(105*z2 - 315*z4 + 231*z6 - 5)/(32*sqrt(pi)) + outputs[43] = 0.58262136251873131f*xz*(30.0f*z2 - 33.0f*z4 - 5.0f) ; // sqrt(273)*xz*(30*z2 - 33*z4 - 5)/(16*sqrt(pi)) + outputs[44] = 0.46060262975746175f*(x2 - y2)*(11.0f*z2*(3.0f*z2 - 1.0f) - 7.0f*z2 + 1.0f) ; // sqrt(2730)*(x2 - y2)*(11*z2*(3*z2 - 1) - 7*z2 + 1)/(64*sqrt(pi)) + outputs[45] = -0.92120525951492349f*xz*(x2 - 3.0f*y2)*(11.0f*z2 - 3.0f) ; // -sqrt(2730)*xz*(x2 - 3*y2)*(11*z2 - 3)/(32*sqrt(pi)) + outputs[46] = 0.50456490072872406f*(11.0f*z2 - 1.0f)*(-6.0f*x2*y2 + x4 + y4) ; // 3*sqrt(91)*(11*z2 - 1)*(-6*x2*y2 + x4 + y4)/(32*sqrt(pi)) + outputs[47] = 2.3666191622317521f*xz*(10.0f*x2*y2 - x4 - 5.0f*y4) ; // 3*sqrt(2002)*xz*(10*x2*y2 - x4 - 5*y4)/(32*sqrt(pi)) + outputs[48] = 10.247761577878714f*x2*y4 - 10.247761577878714f*x4*y2 + 0.6831841051919143f*x6 - 0.6831841051919143f*y6 ; // sqrt(6006)*(15*x2*y4 - 15*x4*y2 + x6 - y6)/(64*sqrt(pi)) + if (C <= 7) { return; } + outputs[49] = 0.70716273252459627f*y*(-21.0f*x2*y4 + 35.0f*x4*y2 - 7.0f*x6 + y6) ; // 3*sqrt(715)*y*(-21*x2*y4 + 35*x4*y2 - 7*x6 + y6)/(64*sqrt(pi)) + outputs[50] = 5.2919213236038001f*xy*z*(-10.0f*x2*y2 + 3.0f*x4 + 3.0f*y4) ; // 3*sqrt(10010)*xy*z*(-10*x2*y2 + 3*x4 + 3*y4)/(32*sqrt(pi)) + outputs[51] = -0.51891557872026028f*y*(13.0f*z2 - 1.0f)*(-10.0f*x2*y2 + 5.0f*x4 + y4) ; // -3*sqrt(385)*y*(13*z2 - 1)*(-10*x2*y2 + 5*x4 + y4)/(64*sqrt(pi)) + outputs[52] = 4.1513246297620823f*xy*z*(x2 - y2)*(13.0f*z2 - 3.0f) ; // 3*sqrt(385)*xy*z*(x2 - y2)*(13*z2 - 3)/(8*sqrt(pi)) + outputs[53] = -0.15645893386229404f*y*(3.0f*x2 - y2)*(13.0f*z2*(11.0f*z2 - 3.0f) - 27.0f*z2 + 3.0f) ; // -3*sqrt(35)*y*(3*x2 - y2)*(13*z2*(11*z2 - 3) - 27*z2 + 3)/(64*sqrt(pi)) + outputs[54] = 0.44253269244498261f*xy*z*(-110.0f*z2 + 143.0f*z4 + 15.0f) ; // 3*sqrt(70)*xy*z*(-110*z2 + 143*z4 + 15)/(32*sqrt(pi)) + outputs[55] = 0.090331607582517306f*y*(-135.0f*z2 + 495.0f*z4 - 429.0f*z6 + 5.0f) ; // sqrt(105)*y*(-135*z2 + 495*z4 - 429*z6 + 5)/(64*sqrt(pi)) + outputs[56] = 0.068284276912004949f*z*(315.0f*z2 - 693.0f*z4 + 429.0f*z6 - 35.0f) ; // sqrt(15)*z*(315*z2 - 693*z4 + 429*z6 - 35)/(32*sqrt(pi)) + outputs[57] = 0.090331607582517306f*x*(-135.0f*z2 + 495.0f*z4 - 429.0f*z6 + 5.0f) ; // sqrt(105)*x*(-135*z2 + 495*z4 - 429*z6 + 5)/(64*sqrt(pi)) + outputs[58] = 0.07375544874083044f*z*(x2 - y2)*(143.0f*z2*(3.0f*z2 - 1.0f) - 187.0f*z2 + 45.0f) ; // sqrt(70)*z*(x2 - y2)*(143*z2*(3*z2 - 1) - 187*z2 + 45)/(64*sqrt(pi)) + outputs[59] = -0.15645893386229404f*x*(x2 - 3.0f*y2)*(13.0f*z2*(11.0f*z2 - 3.0f) - 27.0f*z2 + 3.0f) ; // -3*sqrt(35)*x*(x2 - 3*y2)*(13*z2*(11*z2 - 3) - 27*z2 + 3)/(64*sqrt(pi)) + outputs[60] = 1.0378311574405206f*z*(13.0f*z2 - 3.0f)*(-6.0f*x2*y2 + x4 + y4) ; // 3*sqrt(385)*z*(13*z2 - 3)*(-6*x2*y2 + x4 + y4)/(32*sqrt(pi)) + outputs[61] = -0.51891557872026028f*x*(13.0f*z2 - 1.0f)*(-10.0f*x2*y2 + x4 + 5.0f*y4) ; // -3*sqrt(385)*x*(13*z2 - 1)*(-10*x2*y2 + x4 + 5*y4)/(64*sqrt(pi)) + outputs[62] = 2.6459606618019f*z*(15.0f*x2*y4 - 15.0f*x4*y2 + x6 - y6) ; // 3*sqrt(10010)*z*(15*x2*y4 - 15*x4*y2 + x6 - y6)/(64*sqrt(pi)) + outputs[63] = 0.70716273252459627f*x*(-35.0f*x2*y4 + 21.0f*x4*y2 - x6 + 7.0f*y6) ; // 3*sqrt(715)*x*(-35*x2*y4 + 21*x4*y2 - x6 + 7*y6)/(64*sqrt(pi)) + }; + + write_sh(); + + if (dy_dx) { + scalar_t *dx = dy_dx + b * D * C2; + scalar_t *dy = dx + C2; + scalar_t *dz = dy + C2; + + auto write_sh_dx = [&]() { + dx[0] = 0.0f ; // 0 + if (C <= 1) { return; } + dx[1] = 0.0f ; // 0 + dx[2] = 0.0f ; // 0 + dx[3] = -0.48860251190291992f ; // -sqrt(3)/(2*sqrt(pi)) + if (C <= 2) { return; } + dx[4] = 1.0925484305920792f*y ; // sqrt(15)*y/(2*sqrt(pi)) + dx[5] = 0.0f ; // 0 + dx[6] = 0.0f ; // 0 + dx[7] = -1.0925484305920792f*z ; // -sqrt(15)*z/(2*sqrt(pi)) + dx[8] = 1.0925484305920792f*x ; // sqrt(15)*x/(2*sqrt(pi)) + if (C <= 3) { return; } + dx[9] = -3.5402615395598609f*xy ; // -3*sqrt(70)*xy/(4*sqrt(pi)) + dx[10] = 2.8906114426405538f*yz ; // sqrt(105)*yz/(2*sqrt(pi)) + dx[11] = 0.0f ; // 0 + dx[12] = 0.0f ; // 0 + dx[13] = 0.45704579946446572f - 2.2852289973223288f*z2 ; // sqrt(42)*(1 - 5*z2)/(8*sqrt(pi)) + dx[14] = 2.8906114426405538f*xz ; // sqrt(105)*xz/(2*sqrt(pi)) + dx[15] = -1.7701307697799304f*x2 + 1.7701307697799304f*y2 ; // 3*sqrt(70)*(-x2 + y2)/(8*sqrt(pi)) + if (C <= 4) { return; } + dx[16] = 2.5033429417967046f*y*(3.0f*x2 - y2) ; // 3*sqrt(35)*y*(3*x2 - y2)/(4*sqrt(pi)) + dx[17] = -10.620784618679583f*xy*z ; // -9*sqrt(70)*xy*z/(4*sqrt(pi)) + dx[18] = 0.94617469575756008f*y*(7.0f*z2 - 1.0f) ; // 3*sqrt(5)*y*(7*z2 - 1)/(4*sqrt(pi)) + dx[19] = 0.0f ; // 0 + dx[20] = 0.0f ; // 0 + dx[21] = 0.66904654355728921f*z*(3.0f - 7.0f*z2) ; // 3*sqrt(10)*z*(3 - 7*z2)/(8*sqrt(pi)) + dx[22] = 0.94617469575756008f*x*(7.0f*z2 - 1.0f) ; // 3*sqrt(5)*x*(7*z2 - 1)/(4*sqrt(pi)) + dx[23] = 5.3103923093397913f*z*(-x2 + y2) ; // 9*sqrt(70)*z*(-x2 + y2)/(8*sqrt(pi)) + dx[24] = 2.5033429417967046f*x*(x2 - 3.0f*y2) ; // 3*sqrt(35)*x*(x2 - 3*y2)/(4*sqrt(pi)) + if (C <= 5) { return; } + dx[25] = 13.127641136803401f*xy*(-x2 + y2) ; // 15*sqrt(154)*xy*(-x2 + y2)/(8*sqrt(pi)) + dx[26] = 8.3026492595241645f*yz*(3.0f*x2 - y2) ; // 3*sqrt(385)*yz*(3*x2 - y2)/(4*sqrt(pi)) + dx[27] = 2.9354297966115022f*xy*(1.0f - 9.0f*z2) ; // 3*sqrt(770)*xy*(1 - 9*z2)/(16*sqrt(pi)) + dx[28] = 4.7935367849733241f*yz*(3.0f*z2 - 1.0f) ; // sqrt(1155)*yz*(3*z2 - 1)/(4*sqrt(pi)) + dx[29] = 0.0f ; // 0 + dx[30] = 0.0f ; // 0 + dx[31] = 6.3412531167397574f*z2 - 9.5118796751096362f*z4 - 0.45294665119569694f ; // sqrt(165)*(14*z2 - 21*z4 - 1)/(16*sqrt(pi)) + dx[32] = 4.7935367849733241f*xz*(3.0f*z2 - 1.0f) ; // sqrt(1155)*xz*(3*z2 - 1)/(4*sqrt(pi)) + dx[33] = -13.209434084751759f*x2*z2 + 1.4677148983057511f*x2 + 13.209434084751759f*y2*z2 - 1.4677148983057511f*y2 ; // 3*sqrt(770)*(-9*x2*z2 + x2 + 9*y2*z2 - y2)/(32*sqrt(pi)) + dx[34] = 8.3026492595241645f*xz*(x2 - 3.0f*y2) ; // 3*sqrt(385)*xz*(x2 - 3*y2)/(4*sqrt(pi)) + dx[35] = 19.6914617052051f*x2*y2 - 3.2819102842008503f*x4 - 3.2819102842008503f*y4 ; // 15*sqrt(154)*(6*x2*y2 - x4 - y4)/(32*sqrt(pi)) + if (C <= 6) { return; } + dx[36] = 4.0991046311514854f*y*(-10.0f*x2*y2 + 5.0f*x4 + y4) ; // 3*sqrt(6006)*y*(-10*x2*y2 + 5*x4 + y4)/(32*sqrt(pi)) + dx[37] = 47.332383244635047f*xy*z*(-x2 + y2) ; // 15*sqrt(2002)*xy*z*(-x2 + y2)/(8*sqrt(pi)) + dx[38] = 2.0182596029148963f*y*(3.0f*x2 - y2)*(11.0f*z2 - 1.0f) ; // 3*sqrt(91)*y*(3*x2 - y2)*(11*z2 - 1)/(8*sqrt(pi)) + dx[39] = 5.5272315570895412f*xy*z*(3.0f - 11.0f*z2) ; // 3*sqrt(2730)*xy*z*(3 - 11*z2)/(16*sqrt(pi)) + dx[40] = 0.92120525951492349f*y*(-18.0f*z2 + 33.0f*z4 + 1.0f) ; // sqrt(2730)*y*(-18*z2 + 33*z4 + 1)/(32*sqrt(pi)) + dx[41] = 0.0f ; // 0 + dx[42] = 0.0f ; // 0 + dx[43] = 0.58262136251873131f*z*(30.0f*z2 - 33.0f*z4 - 5.0f) ; // sqrt(273)*z*(30*z2 - 33*z4 - 5)/(16*sqrt(pi)) + dx[44] = 0.92120525951492349f*x*(-18.0f*z2 + 33.0f*z4 + 1.0f) ; // sqrt(2730)*x*(-18*z2 + 33*z4 + 1)/(32*sqrt(pi)) + dx[45] = -2.7636157785447706f*z*(x2 - y2)*(11.0f*z2 - 3.0f) ; // -3*sqrt(2730)*z*(x2 - y2)*(11*z2 - 3)/(32*sqrt(pi)) + dx[46] = 2.0182596029148963f*x*(x2 - 3.0f*y2)*(11.0f*z2 - 1.0f) ; // 3*sqrt(91)*x*(x2 - 3*y2)*(11*z2 - 1)/(8*sqrt(pi)) + dx[47] = 11.833095811158762f*z*(6.0f*x2*y2 - x4 - y4) ; // 15*sqrt(2002)*z*(6*x2*y2 - x4 - y4)/(32*sqrt(pi)) + dx[48] = 4.0991046311514854f*x*(-10.0f*x2*y2 + x4 + 5.0f*y4) ; // 3*sqrt(6006)*x*(-10*x2*y2 + x4 + 5*y4)/(32*sqrt(pi)) + if (C <= 7) { return; } + dx[49] = 9.9002782553443485f*xy*(10.0f*x2*y2 - 3.0f*x4 - 3.0f*y4) ; // 21*sqrt(715)*xy*(10*x2*y2 - 3*x4 - 3*y4)/(32*sqrt(pi)) + dx[50] = 15.875763970811402f*yz*(-10.0f*x2*y2 + 5.0f*x4 + y4) ; // 9*sqrt(10010)*yz*(-10*x2*y2 + 5*x4 + y4)/(32*sqrt(pi)) + dx[51] = -10.378311574405206f*xy*(x2 - y2)*(13.0f*z2 - 1.0f) ; // -15*sqrt(385)*xy*(x2 - y2)*(13*z2 - 1)/(16*sqrt(pi)) + dx[52] = 4.1513246297620823f*yz*(3.0f*x2 - y2)*(13.0f*z2 - 3.0f) ; // 3*sqrt(385)*yz*(3*x2 - y2)*(13*z2 - 3)/(8*sqrt(pi)) + dx[53] = 0.93875360317376422f*xy*(66.0f*z2 - 143.0f*z4 - 3.0f) ; // 9*sqrt(35)*xy*(66*z2 - 143*z4 - 3)/(32*sqrt(pi)) + dx[54] = 0.44253269244498261f*yz*(-110.0f*z2 + 143.0f*z4 + 15.0f) ; // 3*sqrt(70)*yz*(-110*z2 + 143*z4 + 15)/(32*sqrt(pi)) + dx[55] = 0.0f ; // 0 + dx[56] = 0.0f ; // 0 + dx[57] = -12.194767023639836f*z2 + 44.714145753346067f*z4 - 38.752259652899923f*z6 + 0.45165803791258652f ; // sqrt(105)*(-135*z2 + 495*z4 - 429*z6 + 5)/(64*sqrt(pi)) + dx[58] = 0.44253269244498261f*xz*(-110.0f*z2 + 143.0f*z4 + 15.0f) ; // 3*sqrt(70)*xz*(-110*z2 + 143*z4 + 15)/(32*sqrt(pi)) + dx[59] = 30.97886890473422f*x2*z2 - 67.120882626924143f*x2*z4 - 1.4081304047606462f*x2 - 30.97886890473422f*y2*z2 + 67.120882626924143f*y2*z4 + 1.4081304047606462f*y2 ; // 9*sqrt(35)*(66*x2*z2 - 143*x2*z4 - 3*x2 - 66*y2*z2 + 143*y2*z4 + 3*y2)/(64*sqrt(pi)) + dx[60] = 4.1513246297620823f*xz*(x2 - 3.0f*y2)*(13.0f*z2 - 3.0f) ; // 3*sqrt(385)*xz*(x2 - 3*y2)*(13*z2 - 3)/(8*sqrt(pi)) + dx[61] = -0.51891557872026028f*(13.0f*z2 - 1.0f)*(-10.0f*x2*y2 + 4.0f*x2*(x2 - 5.0f*y2) + x4 + 5.0f*y4) ; // -3*sqrt(385)*(13*z2 - 1)*(-10*x2*y2 + 4*x2*(x2 - 5*y2) + x4 + 5*y4)/(64*sqrt(pi)) + dx[62] = 15.875763970811402f*xz*(-10.0f*x2*y2 + x4 + 5.0f*y4) ; // 9*sqrt(10010)*xz*(-10*x2*y2 + x4 + 5*y4)/(32*sqrt(pi)) + dx[63] = -74.252086915082614f*x2*y4 + 74.252086915082614f*x4*y2 - 4.9501391276721742f*x6 + 4.9501391276721742f*y6 ; // 21*sqrt(715)*(-15*x2*y4 + 15*x4*y2 - x6 + y6)/(64*sqrt(pi)) + }; + + auto write_sh_dy = [&]() { + dy[0] = 0.0f ; // 0 + if (C <= 1) { return; } + dy[1] = -0.48860251190291992f ; // -sqrt(3)/(2*sqrt(pi)) + dy[2] = 0.0f ; // 0 + dy[3] = 0.0f ; // 0 + if (C <= 2) { return; } + dy[4] = 1.0925484305920792f*x ; // sqrt(15)*x/(2*sqrt(pi)) + dy[5] = -1.0925484305920792f*z ; // -sqrt(15)*z/(2*sqrt(pi)) + dy[6] = 0.0f ; // 0 + dy[7] = 0.0f ; // 0 + dy[8] = -1.0925484305920792f*y ; // -sqrt(15)*y/(2*sqrt(pi)) + if (C <= 3) { return; } + dy[9] = -1.7701307697799304f*x2 + 1.7701307697799304f*y2 ; // 3*sqrt(70)*(-x2 + y2)/(8*sqrt(pi)) + dy[10] = 2.8906114426405538f*xz ; // sqrt(105)*xz/(2*sqrt(pi)) + dy[11] = 0.45704579946446572f - 2.2852289973223288f*z2 ; // sqrt(42)*(1 - 5*z2)/(8*sqrt(pi)) + dy[12] = 0.0f ; // 0 + dy[13] = 0.0f ; // 0 + dy[14] = -2.8906114426405538f*yz ; // -sqrt(105)*yz/(2*sqrt(pi)) + dy[15] = 3.5402615395598609f*xy ; // 3*sqrt(70)*xy/(4*sqrt(pi)) + if (C <= 4) { return; } + dy[16] = 2.5033429417967046f*x*(x2 - 3.0f*y2) ; // 3*sqrt(35)*x*(x2 - 3*y2)/(4*sqrt(pi)) + dy[17] = 5.3103923093397913f*z*(-x2 + y2) ; // 9*sqrt(70)*z*(-x2 + y2)/(8*sqrt(pi)) + dy[18] = 0.94617469575756008f*x*(7.0f*z2 - 1.0f) ; // 3*sqrt(5)*x*(7*z2 - 1)/(4*sqrt(pi)) + dy[19] = 0.66904654355728921f*z*(3.0f - 7.0f*z2) ; // 3*sqrt(10)*z*(3 - 7*z2)/(8*sqrt(pi)) + dy[20] = 0.0f ; // 0 + dy[21] = 0.0f ; // 0 + dy[22] = 0.94617469575756008f*y*(1.0f - 7.0f*z2) ; // 3*sqrt(5)*y*(1 - 7*z2)/(4*sqrt(pi)) + dy[23] = 10.620784618679583f*xy*z ; // 9*sqrt(70)*xy*z/(4*sqrt(pi)) + dy[24] = 2.5033429417967046f*y*(-3.0f*x2 + y2) ; // 3*sqrt(35)*y*(-3*x2 + y2)/(4*sqrt(pi)) + if (C <= 5) { return; } + dy[25] = 19.6914617052051f*x2*y2 - 3.2819102842008503f*x4 - 3.2819102842008503f*y4 ; // 15*sqrt(154)*(6*x2*y2 - x4 - y4)/(32*sqrt(pi)) + dy[26] = 8.3026492595241645f*xz*(x2 - 3.0f*y2) ; // 3*sqrt(385)*xz*(x2 - 3*y2)/(4*sqrt(pi)) + dy[27] = -1.4677148983057511f*(x2 - y2)*(9.0f*z2 - 1.0f) ; // -3*sqrt(770)*(x2 - y2)*(9*z2 - 1)/(32*sqrt(pi)) + dy[28] = 4.7935367849733241f*xz*(3.0f*z2 - 1.0f) ; // sqrt(1155)*xz*(3*z2 - 1)/(4*sqrt(pi)) + dy[29] = 6.3412531167397574f*z2 - 9.5118796751096362f*z4 - 0.45294665119569694f ; // sqrt(165)*(14*z2 - 21*z4 - 1)/(16*sqrt(pi)) + dy[30] = 0.0f ; // 0 + dy[31] = 0.0f ; // 0 + dy[32] = 4.7935367849733241f*yz*(1.0f - 3.0f*z2) ; // sqrt(1155)*yz*(1 - 3*z2)/(4*sqrt(pi)) + dy[33] = 2.9354297966115022f*xy*(9.0f*z2 - 1.0f) ; // 3*sqrt(770)*xy*(9*z2 - 1)/(16*sqrt(pi)) + dy[34] = 8.3026492595241645f*yz*(-3.0f*x2 + y2) ; // 3*sqrt(385)*yz*(-3*x2 + y2)/(4*sqrt(pi)) + dy[35] = 13.127641136803401f*xy*(x2 - y2) ; // 15*sqrt(154)*xy*(x2 - y2)/(8*sqrt(pi)) + if (C <= 6) { return; } + dy[36] = 4.0991046311514854f*x*(-10.0f*x2*y2 + x4 + 5.0f*y4) ; // 3*sqrt(6006)*x*(-10*x2*y2 + x4 + 5*y4)/(32*sqrt(pi)) + dy[37] = 11.833095811158762f*z*(6.0f*x2*y2 - x4 - y4) ; // 15*sqrt(2002)*z*(6*x2*y2 - x4 - y4)/(32*sqrt(pi)) + dy[38] = 2.0182596029148963f*x*(x2 - 3.0f*y2)*(11.0f*z2 - 1.0f) ; // 3*sqrt(91)*x*(x2 - 3*y2)*(11*z2 - 1)/(8*sqrt(pi)) + dy[39] = -2.7636157785447706f*z*(x2 - y2)*(11.0f*z2 - 3.0f) ; // -3*sqrt(2730)*z*(x2 - y2)*(11*z2 - 3)/(32*sqrt(pi)) + dy[40] = 0.92120525951492349f*x*(-18.0f*z2 + 33.0f*z4 + 1.0f) ; // sqrt(2730)*x*(-18*z2 + 33*z4 + 1)/(32*sqrt(pi)) + dy[41] = 0.58262136251873131f*z*(30.0f*z2 - 33.0f*z4 - 5.0f) ; // sqrt(273)*z*(30*z2 - 33*z4 - 5)/(16*sqrt(pi)) + dy[42] = 0.0f ; // 0 + dy[43] = 0.0f ; // 0 + dy[44] = 0.92120525951492349f*y*(18.0f*z2 - 33.0f*z4 - 1.0f) ; // sqrt(2730)*y*(18*z2 - 33*z4 - 1)/(32*sqrt(pi)) + dy[45] = 5.5272315570895412f*xy*z*(11.0f*z2 - 3.0f) ; // 3*sqrt(2730)*xy*z*(11*z2 - 3)/(16*sqrt(pi)) + dy[46] = -2.0182596029148963f*y*(3.0f*x2 - y2)*(11.0f*z2 - 1.0f) ; // -3*sqrt(91)*y*(3*x2 - y2)*(11*z2 - 1)/(8*sqrt(pi)) + dy[47] = 47.332383244635047f*xy*z*(x2 - y2) ; // 15*sqrt(2002)*xy*z*(x2 - y2)/(8*sqrt(pi)) + dy[48] = 4.0991046311514854f*y*(10.0f*x2*y2 - 5.0f*x4 - y4) ; // 3*sqrt(6006)*y*(10*x2*y2 - 5*x4 - y4)/(32*sqrt(pi)) + if (C <= 7) { return; } + dy[49] = -74.252086915082614f*x2*y4 + 74.252086915082614f*x4*y2 - 4.9501391276721742f*x6 + 4.9501391276721742f*y6 ; // 21*sqrt(715)*(-15*x2*y4 + 15*x4*y2 - x6 + y6)/(64*sqrt(pi)) + dy[50] = 15.875763970811402f*xz*(-10.0f*x2*y2 + x4 + 5.0f*y4) ; // 9*sqrt(10010)*xz*(-10*x2*y2 + x4 + 5*y4)/(32*sqrt(pi)) + dy[51] = 0.51891557872026028f*(13.0f*z2 - 1.0f)*(10.0f*x2*y2 - 5.0f*x4 + 4.0f*y2*(5.0f*x2 - y2) - y4) ; // 3*sqrt(385)*(13*z2 - 1)*(10*x2*y2 - 5*x4 + 4*y2*(5*x2 - y2) - y4)/(64*sqrt(pi)) + dy[52] = 4.1513246297620823f*xz*(x2 - 3.0f*y2)*(13.0f*z2 - 3.0f) ; // 3*sqrt(385)*xz*(x2 - 3*y2)*(13*z2 - 3)/(8*sqrt(pi)) + dy[53] = -0.46937680158688211f*(x2 - y2)*(13.0f*z2*(11.0f*z2 - 3.0f) - 27.0f*z2 + 3.0f) ; // -9*sqrt(35)*(x2 - y2)*(13*z2*(11*z2 - 3) - 27*z2 + 3)/(64*sqrt(pi)) + dy[54] = 0.44253269244498261f*xz*(-110.0f*z2 + 143.0f*z4 + 15.0f) ; // 3*sqrt(70)*xz*(-110*z2 + 143*z4 + 15)/(32*sqrt(pi)) + dy[55] = -12.194767023639836f*z2 + 44.714145753346067f*z4 - 38.752259652899923f*z6 + 0.45165803791258652f ; // sqrt(105)*(-135*z2 + 495*z4 - 429*z6 + 5)/(64*sqrt(pi)) + dy[56] = 0.0f ; // 0 + dy[57] = 0.0f ; // 0 + dy[58] = 0.44253269244498261f*yz*(110.0f*z2 - 143.0f*z4 - 15.0f) ; // 3*sqrt(70)*yz*(110*z2 - 143*z4 - 15)/(32*sqrt(pi)) + dy[59] = 0.93875360317376422f*xy*(-66.0f*z2 + 143.0f*z4 + 3.0f) ; // 9*sqrt(35)*xy*(-66*z2 + 143*z4 + 3)/(32*sqrt(pi)) + dy[60] = -4.1513246297620823f*yz*(3.0f*x2 - y2)*(13.0f*z2 - 3.0f) ; // -3*sqrt(385)*yz*(3*x2 - y2)*(13*z2 - 3)/(8*sqrt(pi)) + dy[61] = 10.378311574405206f*xy*(x2 - y2)*(13.0f*z2 - 1.0f) ; // 15*sqrt(385)*xy*(x2 - y2)*(13*z2 - 1)/(16*sqrt(pi)) + dy[62] = 15.875763970811402f*yz*(10.0f*x2*y2 - 5.0f*x4 - y4) ; // 9*sqrt(10010)*yz*(10*x2*y2 - 5*x4 - y4)/(32*sqrt(pi)) + dy[63] = 9.9002782553443485f*xy*(-10.0f*x2*y2 + 3.0f*x4 + 3.0f*y4) ; // 21*sqrt(715)*xy*(-10*x2*y2 + 3*x4 + 3*y4)/(32*sqrt(pi)) + }; + + auto write_sh_dz = [&]() { + dz[0] = 0.0f ; // 0 + if (C <= 1) { return; } + dz[1] = 0.0f ; // 0 + dz[2] = 0.48860251190291992f ; // sqrt(3)/(2*sqrt(pi)) + dz[3] = 0.0f ; // 0 + if (C <= 2) { return; } + dz[4] = 0.0f ; // 0 + dz[5] = -1.0925484305920792f*y ; // -sqrt(15)*y/(2*sqrt(pi)) + dz[6] = 1.8923493915151202f*z ; // 3*sqrt(5)*z/(2*sqrt(pi)) + dz[7] = -1.0925484305920792f*x ; // -sqrt(15)*x/(2*sqrt(pi)) + dz[8] = 0.0f ; // 0 + if (C <= 3) { return; } + dz[9] = 0.0f ; // 0 + dz[10] = 2.8906114426405538f*xy ; // sqrt(105)*xy/(2*sqrt(pi)) + dz[11] = -4.5704579946446566f*yz ; // -5*sqrt(42)*yz/(4*sqrt(pi)) + dz[12] = 5.597644988851731f*z2 - 1.1195289977703462f ; // 3*sqrt(7)*(5*z2 - 1)/(4*sqrt(pi)) + dz[13] = -4.5704579946446566f*xz ; // -5*sqrt(42)*xz/(4*sqrt(pi)) + dz[14] = 1.4453057213202769f*x2 - 1.4453057213202769f*y2 ; // sqrt(105)*(x2 - y2)/(4*sqrt(pi)) + dz[15] = 0.0f ; // 0 + if (C <= 4) { return; } + dz[16] = 0.0f ; // 0 + dz[17] = 1.7701307697799304f*y*(-3.0f*x2 + y2) ; // 3*sqrt(70)*y*(-3*x2 + y2)/(8*sqrt(pi)) + dz[18] = 13.246445740605839f*xy*z ; // 21*sqrt(5)*xy*z/(2*sqrt(pi)) + dz[19] = 2.0071396306718676f*y*(1.0f - 7.0f*z2) ; // 9*sqrt(10)*y*(1 - 7*z2)/(8*sqrt(pi)) + dz[20] = 14.809976568128603f*z*z*z - 6.3471328149122579f*z ; // (105*z**3 - 45*z)/(4*sqrt(pi)) + dz[21] = 2.0071396306718676f*x*(1.0f - 7.0f*z2) ; // 9*sqrt(10)*x*(1 - 7*z2)/(8*sqrt(pi)) + dz[22] = 6.6232228703029197f*z*(x2 - y2) ; // 21*sqrt(5)*z*(x2 - y2)/(4*sqrt(pi)) + dz[23] = 1.7701307697799304f*x*(-x2 + 3.0f*y2) ; // 3*sqrt(70)*x*(-x2 + 3*y2)/(8*sqrt(pi)) + dz[24] = 0.0f ; // 0 + if (C <= 5) { return; } + dz[25] = 0.0f ; // 0 + dz[26] = 8.3026492595241645f*xy*(x2 - y2) ; // 3*sqrt(385)*xy*(x2 - y2)/(4*sqrt(pi)) + dz[27] = 8.8062893898345074f*yz*(-3.0f*x2 + y2) ; // 9*sqrt(770)*yz*(-3*x2 + y2)/(16*sqrt(pi)) + dz[28] = 4.7935367849733241f*xy*(9.0f*z2 - 1.0f) ; // sqrt(1155)*xy*(9*z2 - 1)/(4*sqrt(pi)) + dz[29] = 12.682506233479513f*yz*(1.0f - 3.0f*z2) ; // 7*sqrt(165)*yz*(1 - 3*z2)/(4*sqrt(pi)) + dz[30] = -24.559567715218954f*z2 + 36.839351572828434f*z4 + 1.754254836801354f ; // 15*sqrt(11)*(-14*z2 + 21*z4 + 1)/(16*sqrt(pi)) + dz[31] = 12.682506233479513f*xz*(1.0f - 3.0f*z2) ; // 7*sqrt(165)*xz*(1 - 3*z2)/(4*sqrt(pi)) + dz[32] = 2.3967683924866621f*(x2 - y2)*(9.0f*z2 - 1.0f) ; // sqrt(1155)*(x2 - y2)*(9*z2 - 1)/(8*sqrt(pi)) + dz[33] = 8.8062893898345074f*xz*(-x2 + 3.0f*y2) ; // 9*sqrt(770)*xz*(-x2 + 3*y2)/(16*sqrt(pi)) + dz[34] = -12.453973889286246f*x2*y2 + 2.0756623148810411f*x4 + 2.0756623148810411f*y4 ; // 3*sqrt(385)*(-6*x2*y2 + x4 + y4)/(16*sqrt(pi)) + dz[35] = 0.0f ; // 0 + if (C <= 6) { return; } + dz[36] = 0.0f ; // 0 + dz[37] = 2.3666191622317521f*y*(10.0f*x2*y2 - 5.0f*x4 - y4) ; // 3*sqrt(2002)*y*(10*x2*y2 - 5*x4 - y4)/(32*sqrt(pi)) + dz[38] = 44.401711264127719f*xy*z*(x2 - y2) ; // 33*sqrt(91)*xy*z*(x2 - y2)/(4*sqrt(pi)) + dz[39] = -2.7636157785447706f*y*(3.0f*x2 - y2)*(11.0f*z2 - 1.0f) ; // -3*sqrt(2730)*y*(3*x2 - y2)*(11*z2 - 1)/(32*sqrt(pi)) + dz[40] = 11.054463114179082f*xy*z*(11.0f*z2 - 3.0f) ; // 3*sqrt(2730)*xy*z*(11*z2 - 3)/(8*sqrt(pi)) + dz[41] = 2.9131068125936568f*y*(18.0f*z2 - 33.0f*z4 - 1.0f) ; // 5*sqrt(273)*y*(18*z2 - 33*z4 - 1)/(16*sqrt(pi)) + dz[42] = 2.6699064952403937f*z*(-30.0f*z2 + 33.0f*z4 + 5.0f) ; // 21*sqrt(13)*z*(-30*z2 + 33*z4 + 5)/(16*sqrt(pi)) + dz[43] = 2.9131068125936568f*x*(18.0f*z2 - 33.0f*z4 - 1.0f) ; // 5*sqrt(273)*x*(18*z2 - 33*z4 - 1)/(16*sqrt(pi)) + dz[44] = 5.5272315570895412f*z*(x2 - y2)*(11.0f*z2 - 3.0f) ; // 3*sqrt(2730)*z*(x2 - y2)*(11*z2 - 3)/(16*sqrt(pi)) + dz[45] = -2.7636157785447706f*x*(x2 - 3.0f*y2)*(11.0f*z2 - 1.0f) ; // -3*sqrt(2730)*x*(x2 - 3*y2)*(11*z2 - 1)/(32*sqrt(pi)) + dz[46] = 11.10042781603193f*z*(-6.0f*x2*y2 + x4 + y4) ; // 33*sqrt(91)*z*(-6*x2*y2 + x4 + y4)/(16*sqrt(pi)) + dz[47] = 2.3666191622317521f*x*(10.0f*x2*y2 - x4 - 5.0f*y4) ; // 3*sqrt(2002)*x*(10*x2*y2 - x4 - 5*y4)/(32*sqrt(pi)) + dz[48] = 0.0f ; // 0 + if (C <= 7) { return; } + dz[49] = 0.0f ; // 0 + dz[50] = 5.2919213236038001f*xy*(-10.0f*x2*y2 + 3.0f*x4 + 3.0f*y4) ; // 3*sqrt(10010)*xy*(-10*x2*y2 + 3*x4 + 3*y4)/(32*sqrt(pi)) + dz[51] = 13.491805046726766f*yz*(10.0f*x2*y2 - 5.0f*x4 - y4) ; // 39*sqrt(385)*yz*(10*x2*y2 - 5*x4 - y4)/(32*sqrt(pi)) + dz[52] = 12.453973889286248f*xy*(x2 - y2)*(13.0f*z2 - 1.0f) ; // 9*sqrt(385)*xy*(x2 - y2)*(13*z2 - 1)/(8*sqrt(pi)) + dz[53] = -6.8841930899409371f*yz*(3.0f*x2 - y2)*(13.0f*z2 - 3.0f) ; // -33*sqrt(35)*yz*(3*x2 - y2)*(13*z2 - 3)/(16*sqrt(pi)) + dz[54] = 2.2126634622249131f*xy*(-66.0f*z2 + 143.0f*z4 + 3.0f) ; // 15*sqrt(70)*xy*(-66*z2 + 143*z4 + 3)/(32*sqrt(pi)) + dz[55] = 1.6259689364853116f*yz*(110.0f*z2 - 143.0f*z4 - 15.0f) ; // 9*sqrt(105)*yz*(110*z2 - 143*z4 - 15)/(32*sqrt(pi)) + dz[56] = 64.528641681844675f*z2 - 236.60501950009714f*z4 + 205.05768356675085f*z6 - 2.3899496919201733f ; // 7*sqrt(15)*(135*z2 - 495*z4 + 429*z6 - 5)/(32*sqrt(pi)) + dz[57] = 1.6259689364853116f*xz*(110.0f*z2 - 143.0f*z4 - 15.0f) ; // 9*sqrt(105)*xz*(110*z2 - 143*z4 - 15)/(32*sqrt(pi)) + dz[58] = 0.07375544874083044f*(x2 - y2)*(143.0f*z2*(3.0f*z2 - 1.0f) + 132.0f*z2*(13.0f*z2 - 5.0f) - 187.0f*z2 + 45.0f) ; // sqrt(70)*(x2 - y2)*(143*z2*(3*z2 - 1) + 132*z2*(13*z2 - 5) - 187*z2 + 45)/(64*sqrt(pi)) + dz[59] = -6.8841930899409371f*xz*(x2 - 3.0f*y2)*(13.0f*z2 - 3.0f) ; // -33*sqrt(35)*xz*(x2 - 3*y2)*(13*z2 - 3)/(16*sqrt(pi)) + dz[60] = 3.1134934723215619f*(13.0f*z2 - 1.0f)*(-6.0f*x2*y2 + x4 + y4) ; // 9*sqrt(385)*(13*z2 - 1)*(-6*x2*y2 + x4 + y4)/(32*sqrt(pi)) + dz[61] = 13.491805046726766f*xz*(10.0f*x2*y2 - x4 - 5.0f*y4) ; // 39*sqrt(385)*xz*(10*x2*y2 - x4 - 5*y4)/(32*sqrt(pi)) + dz[62] = 39.6894099270285f*x2*y4 - 39.6894099270285f*x4*y2 + 2.6459606618019f*x6 - 2.6459606618019f*y6 ; // 3*sqrt(10010)*(15*x2*y4 - 15*x4*y2 + x6 - y6)/(64*sqrt(pi)) + dz[63] = 0.0f ; // 0 + }; + write_sh_dx(); + write_sh_dy(); + write_sh_dz(); + } +} + + +template +__global__ void kernel_sh_backward( + const scalar_t * __restrict__ grad, + const scalar_t * __restrict__ inputs, + uint32_t B, uint32_t D, uint32_t C, + const scalar_t * __restrict__ dy_dx, + scalar_t * grad_inputs +) { + const uint32_t t = threadIdx.x + blockIdx.x * blockDim.x; + const uint32_t b = t / D; + if (b >= B) return; + + const uint32_t d = t - b * D; + const uint32_t C2 = C * C; + + // locate + grad += b * C2; + dy_dx += b * D * C2 + d * C2; + + for (int ch = 0; ch < C2; ch++) { + grad_inputs[t] += grad[ch] * dy_dx[ch]; + //printf("t=%d, b=%d, d=%d, ch=%d, grad=%f (+= %f * %f)\n", t, b, d, ch, grad_inputs[t], grad[ch], dy_dx[ch]); + } + +} + +// inputs: [B, D], float, in [0, 1] +// outputs: [B, L * C], float +template +void sh_encode_forward_cuda(const scalar_t *inputs, scalar_t *outputs, const uint32_t B, const uint32_t D, const uint32_t C, scalar_t *dy_dx) { + static constexpr uint32_t N_THREADS = 256; + kernel_sh<<>>(inputs, outputs, B, D, C, dy_dx); +} + + +template +void sh_encode_backward_cuda(const scalar_t *grad, const scalar_t *inputs, const uint32_t B, const uint32_t D, const uint32_t C, scalar_t *dy_dx, scalar_t *grad_inputs) { + static constexpr uint32_t N_THREADS = 256; + kernel_sh_backward<<>>(grad, inputs, B, D, C, dy_dx, grad_inputs); +} + + +void sh_encode_forward(at::Tensor inputs, at::Tensor outputs, const uint32_t B, const uint32_t D, const uint32_t C, at::optional dy_dx) { + CHECK_CUDA(inputs); + CHECK_CUDA(outputs); + // CHECK_CUDA(dy_dx); + + CHECK_CONTIGUOUS(inputs); + CHECK_CONTIGUOUS(outputs); + // CHECK_CONTIGUOUS(dy_dx); + + CHECK_IS_FLOATING(inputs); + CHECK_IS_FLOATING(outputs); + // CHECK_IS_FLOATING(dy_dx); + + AT_DISPATCH_FLOATING_TYPES_AND_HALF( + inputs.scalar_type(), "sh_encode_forward_cuda", ([&] { + sh_encode_forward_cuda(inputs.data_ptr(), outputs.data_ptr(), B, D, C, dy_dx.has_value() ? dy_dx.value().data_ptr() : nullptr); + })); +} + +void sh_encode_backward(at::Tensor grad, at::Tensor inputs, const uint32_t B, const uint32_t D, const uint32_t C, at::Tensor dy_dx, at::Tensor grad_inputs) { + CHECK_CUDA(grad); + CHECK_CUDA(inputs); + CHECK_CUDA(dy_dx); + CHECK_CUDA(grad_inputs); + + CHECK_CONTIGUOUS(grad); + CHECK_CONTIGUOUS(inputs); + CHECK_CONTIGUOUS(dy_dx); + CHECK_CONTIGUOUS(grad_inputs); + + CHECK_IS_FLOATING(grad); + CHECK_IS_FLOATING(inputs); + CHECK_IS_FLOATING(dy_dx); + CHECK_IS_FLOATING(grad_inputs); + + AT_DISPATCH_FLOATING_TYPES_AND_HALF( + grad.scalar_type(), "sh_encode_backward_cuda", ([&] { + sh_encode_backward_cuda(grad.data_ptr(), inputs.data_ptr(), B, D, C, dy_dx.data_ptr(), grad_inputs.data_ptr()); + })); +} \ No newline at end of file diff --git a/NeRF/shencoder/src/shencoder.h b/NeRF/shencoder/src/shencoder.h new file mode 100644 index 0000000000000000000000000000000000000000..887391f712a73d7c414100475a0dd55bcdbe2f18 --- /dev/null +++ b/NeRF/shencoder/src/shencoder.h @@ -0,0 +1,10 @@ +# pragma once + +#include +#include + +// inputs: [B, D], float, in [-1, 1] +// outputs: [B, F], float + +void sh_encode_forward(at::Tensor inputs, at::Tensor outputs, const uint32_t B, const uint32_t D, const uint32_t C, at::optional dy_dx); +void sh_encode_backward(at::Tensor grad, at::Tensor inputs, const uint32_t B, const uint32_t D, const uint32_t C, at::Tensor dy_dx, at::Tensor grad_inputs); \ No newline at end of file diff --git a/README.md b/README.md index 87b3d4fc7d5dde09fc774e9b1ff13f033c913155..1c83f00abcf1c84c24a16c00e2cf053bcae1403f 100644 --- a/README.md +++ b/README.md @@ -1,12 +1,1081 @@ --- -title: Linly Talker -emoji: 📚 -colorFrom: gray -colorTo: red +title: Linly-Talker +app_file: app_multi.py sdk: gradio sdk_version: 4.44.0 -app_file: app.py -pinned: false --- +# Digital Human Intelligent Dialogue System - Linly-Talker — 'Interactive Dialogue with Your Virtual Self' + +
+

Linly-Talker WebUI

+ +[![madewithlove](https://img.shields.io/badge/made_with-%E2%9D%A4-red?style=for-the-badge&labelColor=orange)](https://github.com/Kedreamix/Linly-Talker) + +
+ +[![Open In Colab](https://img.shields.io/badge/Colab-F9AB00?style=for-the-badge&logo=googlecolab&color=525252)](https://colab.research.google.com/github/Kedreamix/Linly-Talker/blob/main/colab_webui.ipynb) +[![Licence](https://img.shields.io/badge/LICENSE-MIT-green.svg?style=for-the-badge)](https://github.com/Kedreamix/Linly-Talker/blob/main/LICENSE) +[![Huggingface](https://img.shields.io/badge/🤗%20-Models%20Repo-yellow.svg?style=for-the-badge)](https://huggingface.co/Kedreamix/Linly-Talker) + +[**English**](./README.md) | [**中文简体**](./README_zh.md) + +
+ +**2023.12 Update** 📆 + +**Users can upload any images for the conversation** + +**2024.01 Update** 📆📆 + +- **Exciting news! I've now incorporated both the powerful GeminiPro and Qwen large models into our conversational scene. Users can now upload images during the conversation, adding a whole new dimension to the interactions.** +- **The deployment invocation method for FastAPI has been updated.** +- **The advanced settings options for Microsoft TTS have been updated, increasing the variety of voice types. Additionally, video subtitles have been introduced to enhance visualization.** +- **Updated the GPT multi-turn conversation system to establish contextual connections in dialogue, enhancing the interactivity and realism of the digital persona.** + +**2024.02 Update** 📆 + +- **Updated Gradio to the latest version 4.16.0, providing the interface with additional functionalities such as capturing images from the camera to create digital personas, among others.** +- **ASR and THG have been updated. FunASR from Alibaba has been integrated into ASR, enhancing its speed significantly. Additionally, the THG section now incorporates the Wav2Lip model, while ER-NeRF is currently in preparation (Coming Soon).** +- **I have incorporated the GPT-SoVITS model, which is a voice cloning method. By fine-tuning it with just one minute of a person's speech data, it can effectively clone their voice. The results are quite impressive and worth recommending.** +- **I have integrated a web user interface (WebUI) that allows for better execution of Linly-Talker.** + +**2024.04 Update** 📆 + +- **Updated the offline mode for Paddle TTS, excluding Edge TTS.** +- **Updated ER-NeRF as one of the choices for Avatar generation.** +- **Updated app_talk.py to allow for the free upload of voice and images/videos for generation without being based on a dialogue scenario.** + +**2024.05 Update** 📆 + +- **Updated the beginner-friendly AutoDL deployment tutorial, and also updated the codewithgpu image, allowing for one-click experience and learning.** +- **Updated WebUI.py: Linly-Talker WebUI now supports multiple modules, multiple models, and multiple options** + +**2024.06 Update** 📆 + +- **Integrated MuseTalk into Linly-Talker and updated the WebUI, enabling basic real-time conversation capabilities.** +- **The refined WebUI defaults to not loading the LLM model to reduce GPU memory usage. It directly responds with text to complete voiceovers. The enhanced WebUI features three main functions: personalized character generation, multi-turn intelligent dialogue with digital humans, and real-time MuseTalk conversations. These improvements reduce previous GPU memory redundancies and add more prompts to assist users effectively.** + +**2024.08 Update** 📆 + +- **Updated CosyVoice to offer high-quality text-to-speech (TTS) functionality and voice cloning capabilities; also upgraded to Wav2Lipv2 to enhance overall performance.** + +**2024.09 Update** 📆 + +- **Added Linly-Talker API documentation, providing detailed interface descriptions to help users access Linly-Talker’s features via the API.** + +--- + +
+Content + + + +- [Digital Human Intelligent Dialogue System - Linly-Talker — 'Interactive Dialogue with Your Virtual Self'](#digital-human-intelligent-dialogue-system---linly-talker--interactive-dialogue-with-your-virtual-self) + - [Introduction](#introduction) + - [TO DO LIST](#to-do-list) + - [Example](#example) + - [Setup Environment](#setup-environment) + - [API Documentation](#api-documentation) + - [ASR - Speech Recognition](#asr---speech-recognition) + - [Whisper](#whisper) + - [FunASR](#funasr) + - [Coming Soon](#coming-soon) + - [TTS - Text To Speech](#tts---text-to-speech) + - [Edge TTS](#edge-tts) + - [PaddleTTS](#paddletts) + - [Coming Soon](#coming-soon-1) + - [Voice Clone](#voice-clone) + - [GPT-SoVITS（Recommend）](#gpt-sovitsrecommend) + - [XTTS](#xtts) + - [CosyVoice](#cosyvoice) + - [Coming Soon](#coming-soon-2) + - [THG - Avatar](#thg---avatar) + - [SadTalker](#sadtalker) + - [Wav2Lip](#wav2lip) + - [Wav2Lipv2](#wav2lipv2) + - [ER-NeRF](#er-nerf) + - [MuseTalk](#musetalk) + - [Coming Soon](#coming-soon-3) + - [LLM - Conversation](#llm---conversation) + - [Linly-AI](#linly-ai) + - [Qwen](#qwen) + - [Gemini-Pro](#gemini-pro) + - [ChatGPT](#chatgpt) + - [ChatGLM](#chatglm) + - [GPT4Free](#gpt4free) + - [LLM Multiple Model Selection](#llm-multiple-model-selection) + - [Coming Soon](#coming-soon-4) + - [Optimizations](#optimizations) + - [Gradio](#gradio) + - [Start WebUI](#start-webui) + - [WebUI](#webui) + - [Old Verison](#old-verison) + - [Folder structure](#folder-structure) + - [Reference](#reference) + - [License](#license) + - [Star History](#star-history) + + + +
+ + +## Introduction + +Linly-Talker is an innovative digital human conversation system that integrates the latest artificial intelligence technologies, including Large Language Models (LLM) 🤖, Automatic Speech Recognition (ASR) 🎙️, Text-to-Speech (TTS) 🗣️, and voice cloning technology 🎤. This system offers an interactive web interface through the Gradio platform 🌐, allowing users to upload images 📷 and engage in personalized dialogues with AI 💬. + +The core features of the system include: + +1. **Multi-Model Integration**: Linly-Talker combines major models such as Linly, GeminiPro, Qwen, as well as visual models like Whisper, SadTalker, to achieve high-quality dialogues and visual generation. +2. **Multi-Turn Conversational Ability**: Through the multi-turn dialogue system powered by GPT models, Linly-Talker can understand and maintain contextually relevant and coherent conversations, significantly enhancing the authenticity of the interaction. +3. **Voice Cloning**: Utilizing technologies like GPT-SoVITS, users can upload a one-minute voice sample for fine-tuning, and the system will clone the user's voice, enabling the digital human to converse in the user's voice. +4. **Real-Time Interaction**: The system supports real-time speech recognition and video captioning, allowing users to communicate naturally with the digital human via voice. +5. **Visual Enhancement**: With digital human generation technologies, Linly-Talker can create realistic digital human avatars, providing a more immersive experience. + +The design philosophy of Linly-Talker is to create a new form of human-computer interaction that goes beyond simple Q&A. By integrating advanced technologies, it offers an intelligent digital human capable of understanding, responding to, and simulating human communication. + +![The system architecture of multimodal human–computer interaction.](docs/HOI_en.png) + +> [!NOTE] +> +> You can watch the demo video [here](https://www.bilibili.com/video/BV1rN4y1a76x/). +> +> I have recorded a series of videos on Bilibili, which also represent every step of my updates and methods of use. For detailed information, please refer to [Digital Human Dialogue System - Linly-Talker Collection](https://space.bilibili.com/241286257/channel/collectiondetail?sid=2065753). +> +> - [🔥🔥🔥 Digital Human Dialogue System Linly-Talker 🔥🔥🔥](https://www.bilibili.com/video/BV1rN4y1a76x/) +> - [🚀 The Future of Digital Humans: The Empowerment Path of Linly-Talker + GPT-SoVIT Voice Cloning Technology](https://www.bilibili.com/video/BV1S4421A7gh/) +> - [Deploying Linly-Talker on AutoDL Platform (Super Detailed Tutorial for Beginners)](https://www.bilibili.com/video/BV1uT421m74z/) +> - [Linly-Talker Update: Offline TTS Integration and Customized Digital Human Solutions](https://www.bilibili.com/video/BV1Mr421u7NN/) + +## TO DO LIST + +- [x] Completed the basic conversation system flow, capable of `voice interactions`. +- [x] Integrated the LLM large model, including the usage of `Linly`, `Qwen`, and `GeminiPro`. +- [x] Enabled the ability to upload `any digital person's photo` for conversation. +- [x] Integrated `FastAPI` invocation for Linly. +- [x] Utilized Microsoft `TTS` with advanced options, allowing customization of voice and tone parameters to enhance audio diversity. +- [x] `Added subtitles` to video generation for improved visualization. +- [x] GPT `Multi-turn Dialogue System` (Enhance the interactivity and realism of digital entities, bolstering their intelligence) +- [x] Optimized the Gradio interface by incorporating additional models such as Wav2Lip, FunASR, and others. +- [x] `Voice Cloning` Technology (Synthesize one's own voice using voice cloning to enhance the realism and interactive experience of digital entities) +- [x] Integrate offline TTS (Text-to-Speech) along with NeRF-based methods and models. +- [x] Linly-Talker WebUI supports multiple modules, multiple models, and multiple options +- [x] Added MuseTalk functionality to Linly-Talker, achieving near real-time speed with very fast communication. +- [x] Integrated MuseTalk into the Linly-Talker WebUI. +- [x] Added CosyVoice, which provides high-quality text-to-speech (TTS) functionality and voice cloning capabilities. Additionally, updated to Wav2Lipv2 to enhance image quality effects. +- [x] Added Linly-Talker API documentation with detailed interface descriptions. +- [ ] `Real-time` Speech Recognition (Enable conversation and communication between humans and digital entities using voice) + +> [!IMPORTANT] +> +> 🔆 The Linly-Talker project is ongoing - pull requests are welcome! If you have any suggestions regarding new model approaches, research, techniques, or if you discover any runtime errors, please feel free to edit and submit a pull request. You can also open an issue or contact me directly via email. 📩⭐ If you find this repository useful, please give it a star! 🤩 + +> [!TIP] +> +> If you encounter any issues during deployment, please consult the [Common Issues Summary](https://github.com/Kedreamix/Linly-Talker/blob/main/常见问题汇总.md) section, where I have compiled a list of all potential problems. Additionally, a discussion group is available here, and I will provide regular updates. Thank you for your attention and use of Linly-Talker! + +## Example + +| 文字/语音对话 | 数字人回答 | +| :----------------------------------------------------------: | :----------------------------------------------------------: | +| 应对压力最有效的方法是什么？ | | +| 如何进行时间管理？ | | +| 撰写一篇交响乐音乐会评论，讨论乐团的表演和观众的整体体验。 | | +| 翻译成中文：Luck is a dividend of sweat. The more you sweat, the luckier you get. | | + +## Setup Environment + +> [!NOTE] +> +> AutoDL has released an image, which can be used directly at [https://www.codewithgpu.com/i/Kedreamix/Linly-Talker/Kedreamix-Linly-Talker](https://www.codewithgpu.com/i/Kedreamix/Linly-Talker/Kedreamix-Linly-Talker). You can also create an environment directly using Docker. I will continue to update the image. +> +> ```bash +> docker pull registry.cn-beijing.aliyuncs.com/codewithgpu2/kedreamix-linly-talker:zYGdW3yO3D +> ``` +> +> For Windows, I've included an all-in-one Python package. You can run the steps in sequence to install the necessary dependencies and download the corresponding model to get it running. Follow the instructions using `conda` and start installing PyTorch from step 02. If you encounter any issues, please feel free to contact me. +> +> [Windows All-in-One Package](https://pan.quark.cn/s/cc8f19c45a15) + +Download the code: + +```bash +git clone https://github.com/Kedreamix/Linly-Talker.git --depth 1 + +cd Linly-Talker +git submodule update --init --recursive +``` + +--- + +If you are using Linly-Talker, you can set up the environment directly with Anaconda, which covers almost all the dependencies required by the models. The specific steps are as follows: + +```bash +conda create -n linly python=3.10 +conda activate linly + +# PyTorch installation method 1: Install via conda +# CUDA 11.7 +# conda install pytorch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 pytorch-cuda=11.7 -c pytorch -c nvidia +# CUDA 11.8 +# conda install pytorch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 pytorch-cuda=11.8 -c pytorch -c nvidia + +# PyTorch installation method 2: Install via pip +# CUDA 11.7 +# pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 +# CUDA 11.8 +pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 --index-url https://download.pytorch.org/whl/cu118 + +conda install -q ffmpeg==4.2.2 # ffmpeg==4.2.2 + +# Upgrade pip +python -m pip install --upgrade pip +# Change the PyPI source to speed up the installation of packages +pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple + +pip install tb-nightly -i https://mirrors.aliyun.com/pypi/simple +pip install -r requirements_webui.txt + +# Install dependencies related to musetalk +pip install --no-cache-dir -U openmim +mim install mmengine +mim install "mmcv==2.1.0" +mim install "mmdet>=3.1.0" +mim install "mmpose>=1.1.0" + +# 💡The ttsfrd from CosyVoice can be replaced with WeTextProcessing, so a few steps can be omitted, while ensuring compatibility with other Python versions + +# ⚠️ Note: You must first download CosyVoice-ttsfrd. Complete the model download before proceeding with these steps. +# mkdir -p CosyVoice/pretrained_models # Create directory CosyVoice/pretrained_models +# mv checkpoints/CosyVoice_ckpt/CosyVoice-ttsfrd CosyVoice/pretrained_models # Move directory +# unzip CosyVoice/pretrained_models/CosyVoice-ttsfrd/resource.zip # Unzip +# This .whl library is only compatible with Python 3.8 +# pip install CosyVoice/pretrained_models/CosyVoice-ttsfrd/ttsfrd-0.3.6-cp38-cp38-linux_x86_64.whl + +# Install NeRF-based dependencies, which might have several issues and can be skipped initially +pip install "git+https://github.com/facebookresearch/pytorch3d.git" +# If you encounter problems installing PyTorch3D, you can use the following command to install it: +# python scripts/install_pytorch3d.py +pip install -r TFG/requirements_nerf.txt + +# If you encouter issues with pyaudio +sudo apt-get update +sudo apt-get install libasound-dev portaudio19-dev libportaudio2 libportaudiocpp0 + +# Note the following modules. If installation fails, you can enter the directory and use pip install . or python setup.py install to compile and install: +# NeRF/freqencoder +# NeRF/gridencoder +# NeRF/raymarching +# NeRF/shencoder + +# If you encounter sox compatibility issues +# ubuntu +sudo apt-get install sox libsox-dev +# centos +sudo yum install sox sox-devel +``` + +> [!NOTE] +> +> The installation process is very slow. + +Below are some older installation methods, which might cause dependency conflicts, but they generally don't produce many bugs. For an easier and better installation, I've updated the above version. You can ignore the following versions or refer to them if you encounter issues. + +> To install the environment using Anaconda and PyTorch, follow the steps below: +> +> ```bash +> conda create -n linly python=3.10 +> conda activate linly +> +> # PyTorch Installation Method 1: Conda Installation (Recommended) +> conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.3 -c pytorch +> +> # PyTorch Installation Method 2: Pip Installation +> pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu113 +> +> conda install -q ffmpeg # ffmpeg==4.2.2 +> +> pip install -r requirements_app.txt +> ``` +> +> If you want to use models like voice cloning, you may need a higher version of PyTorch. However, the functionality will be more diverse. You may need to use CUDA 11.8 as the driver version, which you can choose. +> +> ```bash +> conda create -n linly python=3.10 +> conda activate linly +> +> pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 --index-url https://download.pytorch.org/whl/cu118 +> +> conda install -q ffmpeg # ffmpeg==4.2.2 +> +> pip install -r requirements_app.txt +> +> # Install dependencies for voice cloning +> pip install -r VITS/requirements_gptsovits.txt +> ``` +> +> If you wish to use NeRF-based models, you may need to set up the corresponding environment: +> +> ```bash +> # Install dependencies for NeRF +> pip install "git+https://github.com/facebookresearch/pytorch3d.git" +> pip install -r TFG/requirements_nerf.txt +> +> # If there are issues with PyAudio, you can install the corresponding dependencies +> # sudo apt-get install libasound-dev portaudio19-dev libportaudio2 libportaudiocpp0 +> +> # Note the following modules. If installation is unsuccessful, you can navigate to the path and use pip install . or python setup.py install to compile and install. +> # NeRF/freqencoder +> # NeRF/gridencoder +> # NeRF/raymarching +> # NeRF/shencoder +> ``` +> +> If you are using PaddleTTS, you can set up the corresponding environment with: +> +> ```bash +> pip install -r TTS/requirements_paddle.txt +> ``` +> +> If you are using the FunASR speech recognition model, you can install the environment with: +> +> ``` +> pip install -r ASR/requirements_funasr.txt +> ``` +> +> If using the MuesTalk model, you can set up the environment with the following commands: +> +> ```bash +> pip install --no-cache-dir -U openmim +> mim install mmengine +> mim install "mmcv>=2.0.1" +> mim install "mmdet>=3.1.0" +> mim install "mmpose>=1.1.0" +> pip install -r TFG/requirements_musetalk.txt +> ``` +> + +> [!NOTE] +> +> Next, you need to install the corresponding models. You can download them using the following methods. Once downloaded, place the files in the specified folder structure (explained at the end of this document). +> +> We recommend downloading from modelscope for the latest updates. +> +> - [Baidu (百度云盘)](https://pan.baidu.com/s/1eF13O-8wyw4B3MtesctQyg?pwd=linl) (Password: `linl`) +> - [huggingface](https://huggingface.co/Kedreamix/Linly-Talker) +> - [modelscope](https://www.modelscope.cn/models/Kedreamix/Linly-Talker/summary) +> - [Quark(夸克网盘)](https://pan.quark.cn/s/f48f5e35796b) +> + +I made a script that can download all the models mentioned below without requiring much input from the user. This method is suitable for stable network conditions, especially for Linux users. For Windows users, Git can also be used to download the models. If the network connection is unstable, users can choose to manually download the models or try running a Shell script to complete the download. The script has the following features: + +1. **Choose Download Method**: Users can choose to download models from three different sources: ModelScope, Huggingface, or Huggingface mirror site. +2. **Download Models**: Based on the user's selection, the script executes the corresponding download command. +3. **Move Model Files**: After downloading, the script moves the model files to the specified directory. +4. **Error Handling**: Error checks are included in each step of the operation. If any step fails, the script will output an error message and stop execution. + +```bash +sh scripts/download_models.sh +``` + +**HuggingFace Download** + +If the download speed is too slow, consider using a mirror site. For more information, refer to [Efficiently Obtain Hugging Face Models Using Mirror Sites](https://kedreamix.github.io/2024/01/05/Note/HuggingFace/?highlight=镜像). + +```bash +# Download pre-trained models from HuggingFace +git lfs install +git clone https://huggingface.co/Kedreamix/Linly-Talker --depth 1 +# git lfs clone https://huggingface.co/Kedreamix/Linly-Talker --depth 1 + +# pip install -U huggingface_hub +# export HF_ENDPOINT=https://hf-mirror.com # Use a mirror site +huggingface-cli download --resume-download --local-dir-use-symlinks False Kedreamix/Linly-Talker --local-dir Linly-Talker +``` + +**ModelScope Download** + +```bash +# Download pre-trained models from Modelscope +# 1. Using git +git lfs install +git clone https://www.modelscope.cn/Kedreamix/Linly-Talker.git --depth 1 +# git lfs clone https://www.modelscope.cn/Kedreamix/Linly-Talker.git + +# 2. Download using Python code +pip install modelscope +from modelscope import snapshot_download +model_dir = snapshot_download('Kedreamix/Linly-Talker') +``` + +**Move All Models to the Current Directory** + +If you downloaded from Baidu Netdisk, you can refer to the directory structure at the end of the document to move the models. + +```bash +# Move all models to the current directory +# Checkpoints contain SadTalker and Wav2Lip +mv Linly-Talker/checkpoints/* ./checkpoints + +# Enhanced GFPGAN for SadTalker +# pip install gfpgan +# mv Linly-Talker/gfpan ./ + +# Voice cloning models +mv Linly-Talker/GPT_SoVITS/pretrained_models/* ./GPT_SoVITS/pretrained_models/ + +# Qwen large language model +mv Linly-Talker/Qwen ./ + +# MuseTalk model +mkdir -p ./Musetalk/models +mv Linly-Talker/MuseTalk/* ./Musetalk/models +``` + +For the convenience of deployment and usage, an `configs.py` file has been updated. You can modify some hyperparameters in this file for customization: + +```bash +# Device Running Port +port = 7870 + +# API Running Port and IP +# Localhost port is 127.0.0.1; for global port forwarding, use "0.0.0.0" +ip = '127.0.0.1' +api_port = 7871 + +# Linly Model Path +mode = 'api' # For 'api', Linly-api-fast.py must be run first +mode = 'offline' +model_path = 'Linly-AI/Chinese-LLaMA-2-7B-hf' + +# SSL Certificate (required for microphone interaction) +# Preferably an absolute path +ssl_certfile = "./https_cert/cert.pem" +ssl_keyfile = "./https_cert/key.pem" +``` + +This file allows you to adjust parameters such as the device running port, API running port, Linly model path, and SSL certificate paths for ease of deployment and configuration. + + + +## API Documentation + +In the [api/README.md](api/README.md) file, we provide detailed information about the usage and configuration of the Linly-Talker API. This documentation includes information on how to call the API, the required parameters, and the format of the returned data. By reviewing these documents, users can gain a comprehensive understanding of how to utilize the API to implement various Linly-Talker functionalities, including starting conversations, uploading images, performing speech recognition, and generating speech. + +For detailed API interface descriptions, please refer to the `api/README.md` file. + + + +## ASR - Speech Recognition + +For detailed information about the usage and code implementation of Automatic Speech Recognition (ASR), please refer to [ASR - Bridging the Gap with Digital Humans](./ASR/README.md). + +### Whisper + +To implement ASR (Automatic Speech Recognition) using OpenAI's Whisper, you can refer to the specific usage methods provided in the GitHub repository: [https://github.com/openai/whisper](https://github.com/openai/whisper) + + + +### FunASR + +The speech recognition performance of Alibaba's FunASR is quite impressive and it is actually better than Whisper in terms of Chinese language. Additionally, FunASR is capable of achieving real-time results, making it a great choice. You can experience FunASR by accessing the FunASR file in the ASR folder. Please refer to [https://github.com/alibaba-damo-academy/FunASR](https://github.com/alibaba-damo-academy/FunASR) for more information. + + + +### Coming Soon + +Welcome everyone to provide suggestions, motivating me to continuously update the models and enrich the functionality of Linly-Talker. + +## TTS - Text To Speech + +For detailed information about the usage and code implementation of Text-to-Speech (TTS), please refer to [TTS - Empowering Digital Humans with Natural Speech Interaction](./TTS/README.md). + +### Edge TTS + +To use Microsoft Edge's online text-to-speech service from Python without needing Microsoft Edge or Windows or an API key, you can refer to the GitHub repository at [https://github.com/rany2/edge-tts](https://github.com/rany2/edge-tts). It provides a Python module called "edge-tts" that allows you to utilize the service. You can find detailed installation instructions and usage examples in the repository's README file. + +### PaddleTTS + +In practical use, there may be scenarios that require offline operation. Since Edge TTS requires an online environment to generate speech, we have chosen PaddleSpeech, another open-source alternative, for Text-to-Speech (TTS). Although there might be some differences in the quality, PaddleSpeech supports offline operations. For more information, you can refer to the GitHub page of PaddleSpeech: [https://github.com/PaddlePaddle/PaddleSpeech](https://github.com/PaddlePaddle/PaddleSpeech). + +### Coming Soon + +Welcome everyone to provide suggestions, motivating me to continuously update the models and enrich the functionality of Linly-Talker. + +## Voice Clone + +For detailed information about the usage and code implementation of Voice Clone, please refer to [Voice Clone - Stealing Your Voice Quietly During Conversations](./VITS/README.md). + +### GPT-SoVITS（Recommend） + +Thank you for your open source contribution. I have also found the `GPT-SoVITS` voice cloning model to be quite impressive. You can find the project at [https://github.com/RVC-Boss/GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS). + + + +### XTTS + +Coqui XTTS is a leading deep learning toolkit for Text-to-Speech (TTS) tasks, allowing for voice cloning and voice transfer to different languages using a 5-second or longer audio clip. + +🐸 TTS is a library for advanced text-to-speech generation. + +🚀 Over 1100 pre-trained models for various languages. + +🛠️ Tools for training new models and fine-tuning existing models in any language. + +📚 Utility programs for dataset analysis and management. + +- Experience XTTS online [https://huggingface.co/spaces/coqui/xtts](https://huggingface.co/spaces/coqui/xtts) +- Official GitHub repository: [https://github.com/coqui-ai/TTS](https://github.com/coqui-ai/TTS) + + + +### CosyVoice + +CosyVoice is an open-source multilingual speech understanding model developed by Alibaba’s Tongyi Lab, focusing on high-quality speech synthesis. The model has been trained on over 150,000 hours of data and supports speech synthesis in multiple languages, including Chinese, English, Japanese, Cantonese, and Korean. CosyVoice excels in multilingual speech generation, zero-shot voice generation, cross-lingual voice synthesis, and command execution capabilities. + +CosyVoice supports one-shot voice cloning technology, enabling the generation of realistic and natural-sounding voices with details such as prosody and emotion using only 3 to 10 seconds of original audio. + +GitHub project link: [CosyVoice GitHub](https://github.com/FunAudioLLM/CosyVoice) + +CosyVoice includes several pre-trained speech synthesis models, mainly: + +1. **CosyVoice-300M**: Supports zero-shot and cross-lingual speech synthesis in Chinese, English, Japanese, Cantonese, Korean, and other languages. +2. **CosyVoice-300M-SFT**: A model focused on supervised fine-tuning (SFT) inference. +3. **CosyVoice-300M-Instruct**: A model that supports command-based inference, capable of generating speech with specific tones, emotions, and other elements. + +**Key Features** + +1. **Multilingual Support**: Capable of handling various languages including Chinese, English, Japanese, Cantonese, and Korean. +2. **Multi-style Speech Synthesis**: Allows control over the tone and emotion of the generated speech through commands. +3. **Streaming Inference Support**: Future updates will include streaming inference modes, such as KV caching and SDPA, for real-time optimization. + +Currently, Linly-Talker integrates three features from CosyVoice: pre-trained voice cloning, 3s rapid cloning, and cross-lingual cloning. Stay tuned for more exciting updates on Linly-Talker. Below are some examples of CosyVoice's capabilities: + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
PROMPT TEXTPROMPT SPEECHTARGET TEXTRESULT
Pre-trained Voice中文女 音色（'中文女', '中文男', '日语男', '粤语女', '英文女', '英文男', '韩语女'）—你好，我是通义生成式语音大模型，请问有什么可以帮您的吗？ + + +[sft.webm](https://github.com/user-attachments/assets/a9f9c8c4-7137-4845-9adb-a93ac304131e) + +
3s Language Cloning希望你以后能够做的比我还好呦。 + +[zero_shot_prompt.webm](https://github.com/user-attachments/assets/1ef09db6-42e5-42d2-acc2-d44e70b147f9) +收到好友从远方寄来的生日礼物，那份意外的惊喜与深深的祝福让我心中充满了甜蜜的快乐，笑容如花儿般绽放。 + +[zero_shot.webm](https://github.com/user-attachments/assets/ba46c58f-2e16-4440-b920-51ec288f09e6) +
Cross-lingual Cloning在那之后，完全收购那家公司，因此保持管理层的一致性，利益与即将加入家族的资产保持一致。这就是我们有时不买下全部的原因。 + +[cross_lingual_prompt.webm](https://github.com/user-attachments/assets/378ae5e6-b52a-47b4-b0db-d84d1edd6e56) + +< |en|>And then later on, fully acquiring that company. So keeping management in line, interest in line with the asset that's coming into the family is a reason why sometimes we don't buy the whole thing. + + +[cross_lingual.webm](https://github.com/user-attachments/assets/b0162fc8-5738-4642-9fdd-b388a4965546) +
+ + + +### Coming Soon + +Welcome everyone to provide suggestions, motivating me to continuously update the models and enrich the functionality of Linly-Talker. + +## THG - Avatar + +Detailed information about the usage and code implementation of digital human generation can be found in [THG - Building Intelligent Digital Humans](./TFG/README.md). + +### SadTalker + +Digital persona generation can utilize SadTalker (CVPR 2023). For detailed information, please visit [https://sadtalker.github.io](https://sadtalker.github.io). + +Before usage, download the SadTalker model: + +```bash +bash scripts/sadtalker_download_models.sh +``` + +[Baidu (百度云盘)](https://pan.baidu.com/s/1eF13O-8wyw4B3MtesctQyg?pwd=linl) (Password: `linl`) + +[Quark(夸克网盘)](https://pan.quark.cn/s/f48f5e35796b) + +> If downloading from Baidu Cloud, remember to place it in the `checkpoints` folder. The model downloaded from Baidu Cloud is named `sadtalker` by default, but it should be renamed to `checkpoints`. + +### Wav2Lip + +Digital persona generation can also utilize Wav2Lip (ACM 2020). For detailed information, refer to [https://github.com/Rudrabha/Wav2Lip](https://github.com/Rudrabha/Wav2Lip). + +Before usage, download the Wav2Lip model: + +| Model | Description | Link to the model | +| ---------------------------- | ----------------------------------------------------- | ------------------------------------------------------------ | +| Wav2Lip | Highly accurate lip-sync | [Link](https://iiitaphyd-my.sharepoint.com/:u:/g/personal/radrabha_m_research_iiit_ac_in/Eb3LEzbfuKlJiR600lQWRxgBIY27JZg80f7V9jtMfbNDaQ?e=TBFBVW) | +| Wav2Lip + GAN | Slightly inferior lip-sync, but better visual quality | [Link](https://iiitaphyd-my.sharepoint.com/:u:/g/personal/radrabha_m_research_iiit_ac_in/EdjI7bZlgApMqsVoEUUXpLsBxqXbn5z8VTmoxp55YNDcIA?e=n9ljGW) | +| Expert Discriminator | Weights of the expert discriminator | [Link](https://iiitaphyd-my.sharepoint.com/:u:/g/personal/radrabha_m_research_iiit_ac_in/EQRvmiZg-HRAjvI6zqN9eTEBP74KefynCwPWVmF57l-AYA?e=ZRPHKP) | +| Visual Quality Discriminator | Weights of the visual disc trained in a GAN setup | [Link](https://iiitaphyd-my.sharepoint.com/:u:/g/personal/radrabha_m_research_iiit_ac_in/EQVqH88dTm1HjlK11eNba5gBbn15WMS0B0EZbDBttqrqkg?e=ic0ljo) | + +### Wav2Lipv2 + +Inspired by the repository [https://github.com/primepake/wav2lip_288x288](https://github.com/primepake/wav2lip_288x288), Wav2Lipv2 uses a newly trained 288 model to achieve higher quality results. + +Additionally, by employing YOLO for facial detection, the overall effect is improved. You can compare and test the results in Linly-Talker. The model has been updated, and the comparison is as follows: + +| Wav2Lip | Wav2Lipv2 | +| ------------------------------------------------------------ | ------------------------------------------------------------ | +| | | + +### ER-NeRF + +ER-NeRF (ICCV 2023) is a digital human built using the latest NeRF technology. It allows for the customization of digital characters and can reconstruct them using just a five-minute video of a person. For more details, please refer to [https://github.com/Fictionarry/ER-NeRF](https://github.com/Fictionarry/ER-NeRF). + +Updated: Taking inspiration from the likeness of Obama, for better results, consider cloning and customizing the voice of digital personas for improved effectiveness. + + + +### MuseTalk + +MuseTalk is a real-time, high-quality audio-driven lip synchronization model capable of running at over 30 frames per second on an NVIDIA Tesla V100 GPU. This model can be integrated with input videos generated by MuseV, forming a part of a comprehensive virtual human solution. For more details, please refer to [https://github.com/TMElyralab/MuseTalk](https://github.com/TMElyralab/MuseTalk). + +MuseTalk is trained to operate within the latent space of ft-mse-vae and offers the following features: + +- **Unseen Face Synchronization**: It can modify unseen faces based on input audio, with a face region size of 256 x 256. +- **Multi-language Support**: Supports audio inputs in various languages, including Chinese, English, and Japanese. +- **High-performance Real-time Inference**: Achieves real-time inference at over 30 frames per second on an NVIDIA Tesla V100. +- **Facial Center Point Adjustment**: Allows the adjustment of the facial region's center point, significantly impacting the generated results. +- **HDTF Dataset Training**: Provides model checkpoints trained on the HDTF dataset. +- **Upcoming Training Code Release**: Training code will be released soon, facilitating further development and research. + +MuseTalk offers an efficient and versatile tool for precise audio synchronization with facial expressions in virtual humans, marking a significant step towards fully interactive virtual personas. + +In Linly-Talker, MuseTalk has been integrated to perform inference on videos based on MuseV, achieving an ideal speed for conversations with near real-time performance. This approach works very well and supports streaming-based inference. + + + +### Coming Soon + +Welcome everyone to provide suggestions, motivating me to continuously update the models and enrich the functionality of Linly-Talker. + +## LLM - Conversation + +For detailed information about the usage and code implementation of Large Language Models (LLM), please refer to [LLM - Empowering Digital Humans with Powerful Language Models](./LLM/README.md). + +### Linly-AI + +Linly-AI is a Large Language model developed by CVI at Shenzhen University. You can find more information about Linly-AI on their GitHub repository: https://github.com/CVI-SZU/Linly + +Download Linly models: [https://huggingface.co/Linly-AI/Chinese-LLaMA-2-7B-hf](https://huggingface.co/Linly-AI/Chinese-LLaMA-2-7B-hf) + +You can use `git` to download: + +```bash +git lfs install +git clone https://huggingface.co/Linly-AI/Chinese-LLaMA-2-7B-hf +``` + +Alternatively, you can use the `huggingface` download tool `huggingface-cli`: + +```bash +pip install -U huggingface_hub + +# Set up mirror acceleration +# Linux +export HF_ENDPOINT="https://hf-mirror.com" +# Windows PowerShell +$env:HF_ENDPOINT="https://hf-mirror.com" + +huggingface-cli download --resume-download Linly-AI/Chinese-LLaMA-2-7B-hf --local-dir Linly-AI/Chinese-LLaMA-2-7B-hf +``` + + + +### Qwen + +Qwen is an AI model developed by Alibaba Cloud. You can check out the GitHub repository for Qwen here: https://github.com/QwenLM/Qwen + +If you want to quickly use Qwen, you can choose the 1.8B model, which has fewer parameters and can run smoothly even with limited GPU memory. Of course, this part can be replaced with other options. + +You can download the Qwen 1.8B model from this link: https://huggingface.co/Qwen/Qwen-1_8B-Chat + +You can use `git` to download: + +```bash +git lfs install +git clone https://huggingface.co/Qwen/Qwen-1_8B-Chat +``` + +Alternatively, you can use the `huggingface` download tool `huggingface-cli`: + +```bash +pip install -U huggingface_hub + +# Set up mirror acceleration +# Linux +export HF_ENDPOINT="https://hf-mirror.com" +# Windows PowerShell +$env:HF_ENDPOINT="https://hf-mirror.com" + +huggingface-cli download --resume-download Qwen/Qwen-1_8B-Chat --local-dir Qwen/Qwen-1_8B-Chat +``` + + + +### Gemini-Pro + +Gemini-Pro is an AI model developed by Google. To learn more about Gemini-Pro, you can visit their website: https://deepmind.google/technologies/gemini/ + +If you want to request an API key for Gemini-Pro, you can visit this link: https://makersuite.google.com/ + +### ChatGPT + +From OpenAI, requires API application. For more information, please visit [https://platform.openai.com/docs/introduction](https://platform.openai.com/docs/introduction). + +### ChatGLM + +From Tsinghua University, for more information please visit [https://github.com/THUDM/ChatGLM3](https://github.com/THUDM/ChatGLM3). + +### GPT4Free + +For free access to GPT-4 and other models, you can refer to [https://github.com/xtekky/gpt4free](https://github.com/xtekky/gpt4free). This resource provides methods to utilize these models without cost. + +### LLM Multiple Model Selection + +In the `webui.py` file, easily select the model you need. ⚠️ For the first run, make sure to download the model first. Refer to Qwen1.8B. + +### Coming Soon + +Welcome everyone to provide suggestions, motivating me to continuously update the models and enrich the functionality of Linly-Talker. + +## Optimizations + +Some optimizations: + +- Use fixed input face images, extract features beforehand to avoid reading each time +- Remove unnecessary libraries to reduce total time +- Only save final video output, don't save intermediate results to improve performance +- Use OpenCV to generate final video instead of mimwrite for faster runtime + +## Gradio + +Gradio is a Python library that provides an easy way to deploy machine learning models as interactive web apps. + +For Linly-Talker, Gradio serves two main purposes: + +1. **Visualization & Demo**: Gradio provides a simple web GUI for the model, allowing users to see the results intuitively by uploading an image and entering text. This is an effective way to showcase the capabilities of the system. + +2. **User Interaction**: The Gradio GUI can serve as a frontend to allow end users to interact with Linly-Talker. Users can upload their own images and ask arbitrary questions or have conversations to get real-time responses. This provides a more natural speech interaction method. + +Specifically, we create a Gradio Interface in app.py that takes image and text inputs, calls our function to generate the response video, and displays it in the GUI. This enables browser interaction without needing to build complex frontend. + +In summary, Gradio provides visualization and user interaction interfaces for Linly-Talker, serving as effective means for showcasing system capabilities and enabling end users. + +> If considering real-time conversation, it may be necessary to switch to a different framework or customize Gradio. Looking forward to working together with everyone. + +## Start WebUI + +Previously, I had separated many versions, but it became cumbersome to run multiple versions. Therefore, I have added a WebUI feature to provide a single interface for a seamless experience. I will continue to update it in the future. + +### WebUI + +The current features available in the WebUI are as follows: + +- [x] Text/Voice-based dialogue with virtual characters (fixed characters with male and female roles) + +- [x] Dialogue with virtual characters using any image (you can upload any character image) + +- [x] Multi-turn GPT dialogue (incorporating historical dialogue data to maintain context) + +- [x] Voice cloning dialogue (based on GPT-SoVITS settings for voice cloning, including a built-in smoky voice that can be cloned based on the voice of the dialogue) + +- [x] Digital Persona Text/Voice Playback (based on input text/voice) + +- [x] Multiple modules➕Multiple models➕Multiple choices + - [x] Multiple role selections: Female/Male/Custom (each part can automatically upload images) Coming Soon + - [x] Multiple TTS model selections: EdgeTTS / PaddleTTS / GPT-SoVITS / CosyVoice / Coming Soon + - [x] Multiple LLM model selections: Linly / Qwen / ChatGLM / GeminiPro / ChatGPT / Coming Soon + - [x] Multiple Talker model selections: Wav2Lip / Wav2Lipv2 / SadTalker / ERNeRF / MuseTalk/ Coming Soon + - [x] Multiple ASR model selections: Whisper / FunASR / Coming Soon + + ![](docs/WebUI2.png) + +You can directly run the web UI to obtain results. The page you will see is as follows: + +```bash +# WebUI +python webui.py +``` + +![](docs/WebUI.png) + +This time, we've updated the interface. We can freely select the fine-tuned model of GPT-SoVITS to achieve voice cloning. Simply upload a reference audio file to clone the voice. + +![](docs/WebUI3.png) + +### Old Verison + +There are three modes for the current startup, and you can choose a specific setting based on the scenario. + +The first mode involves fixed Q&A with a predefined character, eliminating preprocessing time. + +```bash +python app.py +``` + +![](docs/UI.png) + +The first mode has recently been updated to include the Wav2Lip model for dialogue. + +```bash +python appv2.py +``` + + + +The second mode allows for conversing with any uploaded image. + +```bash +python app_img.py +``` + +![](docs/UI2.png) + +The third mode builds upon the first one by incorporating a large language model for multi-turn GPT conversations. + +```bash +python app_multi.py +``` + +![](docs/UI3.png) + +Now, the part of voice cloning has been added, allowing for freely switching between cloned voice models and corresponding person images. Here, I have chosen a deep, smoky voice and an image of a male. + +```bash +python app_vits.py +``` + +A fourth method has been added, which does not fixate on a specific scenario for conversation. Instead, it allows for direct input of voice or the generation of voice for the creation of a digital human. It incorporates methods such as Sadtalker, Wav2Lip, and ER-NeRF. + +> ER-NeRF is trained on videos of a single individual, so a specific model needs to be replaced to render and obtain the correct results. It comes with pre-installed weights for Obama, which can be used directly with the following command: + +```bash +python app_talk.py +``` + +![](docs/UI4.png) + +MuseTalk has been integrated into Linly-Talker, enabling efficient preprocessing of MuseV-generated videos. Once preprocessed, these videos facilitate conversations at speeds that meet near real-time requirements, providing very fast performance. MuseTalk is now available within the WebUI. + +To run the application, use the following command: + +```bash +python app_musetalk.py +``` + +![WebUI Screenshot](docs/UI5.png) + +## Folder structure + +> [!NOTE] +> +> The folder structure of the weight files is as follows: +> +> - `Baidu (百度云盘)`: You can download the weights from [here](https://pan.baidu.com/s/1eF13O-8wyw4B3MtesctQyg?pwd=linl) (Password: `linl`). +> - `huggingface`: You can access the weights at [this link](https://huggingface.co/Kedreamix/Linly-Talker). +> - `modelscope`: The weights will be available soon at [this link](https://www.modelscope.cn/models/Kedreamix/Linly-Talker/files). +> - `Qurak(夸克网盘)`：You can download the weights from [here](https://pan.quark.cn/s/f48f5e35796b) +> + +```bash +Linly-Talker/ +├── checkpoints +│ ├── audio_visual_encoder.pth +│ ├── hub +│ │ └── checkpoints +│ │ └── s3fd-619a316812.pth +│ ├── lipsync_expert.pth +│ ├── mapping_00109-model.pth.tar +│ ├── mapping_00229-model.pth.tar +│ ├── May.json +│ ├── May.pth +│ ├── Obama_ave.pth +│ ├── Obama.json +│ ├── Obama.pth +│ ├── ref_eo.npy +│ ├── ref.npy +│ ├── ref.wav +│ ├── SadTalker_V0.0.2_256.safetensors +│ ├── visual_quality_disc.pth +│ ├── wav2lip_gan.pth +│ └── wav2lip.pth +├── gfpgan +│   └── weights +│   ├── alignment_WFLW_4HG.pth +│   └── detection_Resnet50_Final.pth +├── GPT_SoVITS +│   └── pretrained_models +│   ├── chinese-hubert-base +│   │   ├── config.json +│   │   ├── preprocessor_config.json +│   │   └── pytorch_model.bin +│   ├── chinese-roberta-wwm-ext-large +│   │   ├── config.json +│   │   ├── pytorch_model.bin +│   │   └── tokenizer.json +│   ├── README.md +│   ├── s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt +│   ├── s2D488k.pth +│   ├── s2G488k.pth +│   └── speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch +├── MuseTalk +│ ├── models +│ │ ├── dwpose +│ │ │ └── dw-ll_ucoco_384.pth +│ │ ├── face-parse-bisent +│ │ │ ├── 79999_iter.pth +│ │ │ └── resnet18-5c106cde.pth +│ │ ├── musetalk +│ │ │ ├── musetalk.json +│ │ │ └── pytorch_model.bin +│ │ ├── README.md +│ │ ├── sd-vae-ft-mse +│ │ │ ├── config.json +│ │ │ └── diffusion_pytorch_model.bin +│ │ └── whisper +│ │ └── tiny.pt +├── Qwen +│   └── Qwen-1_8B-Chat +│   ├── assets +│   │   ├── logo.jpg +│   │   ├── qwen_tokenizer.png +│   │   ├── react_showcase_001.png +│   │   ├── react_showcase_002.png +│   │   └── wechat.png +│   ├── cache_autogptq_cuda_256.cpp +│   ├── cache_autogptq_cuda_kernel_256.cu +│   ├── config.json +│   ├── configuration_qwen.py +│   ├── cpp_kernels.py +│   ├── examples +│   │   └── react_prompt.md +│   ├── generation_config.json +│   ├── LICENSE +│   ├── model-00001-of-00002.safetensors +│   ├── model-00002-of-00002.safetensors +│   ├── modeling_qwen.py +│   ├── model.safetensors.index.json +│   ├── NOTICE +│   ├── qwen_generation_utils.py +│   ├── qwen.tiktoken +│   ├── README.md +│   ├── tokenization_qwen.py +│   └── tokenizer_config.json +├── Whisper +│ ├── base.pt +│ └── tiny.pt +├── FunASR +│ ├── punc_ct-transformer_zh-cn-common-vocab272727-pytorch +│ │ ├── configuration.json +│ │ ├── config.yaml +│ │ ├── example +│ │ │ └── punc_example.txt +│ │ ├── fig +│ │ │ └── struct.png +│ │ ├── model.pt +│ │ ├── README.md +│ │ └── tokens.json +│ ├── speech_fsmn_vad_zh-cn-16k-common-pytorch +│ │ ├── am.mvn +│ │ ├── configuration.json +│ │ ├── config.yaml +│ │ ├── example +│ │ │ └── vad_example.wav +│ │ ├── fig +│ │ │ └── struct.png +│ │ ├── model.pt +│ │ └── README.md +│ └── speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch +│ ├── am.mvn +│ ├── asr_example_hotword.wav +│ ├── configuration.json +│ ├── config.yaml +│ ├── example +│ │ ├── asr_example.wav +│ │ └── hotword.txt +│ ├── fig +│ │ ├── res.png +│ │ └── seaco.png +│ ├── model.pt +│ ├── README.md +│ ├── seg_dict +│ └── tokens.json +└── README.md +``` + +## Reference + +**ASR** + +- [https://github.com/openai/whisper](https://github.com/openai/whisper) +- [https://github.com/alibaba-damo-academy/FunASR](https://github.com/alibaba-damo-academy/FunASR) + +**TTS** + +- [https://github.com/rany2/edge-tts](https://github.com/rany2/edge-tts) +- [https://github.com/PaddlePaddle/PaddleSpeech](https://github.com/PaddlePaddle/PaddleSpeech) + +**LLM** + +- [https://github.com/CVI-SZU/Linly](https://github.com/CVI-SZU/Linly) +- [https://github.com/QwenLM/Qwen](https://github.com/QwenLM/Qwen) +- [https://deepmind.google/technologies/gemini/](https://deepmind.google/technologies/gemini/) +- [https://github.com/THUDM/ChatGLM3](https://github.com/THUDM/ChatGLM3) +- [https://openai.com](https://openai.com) + +**THG** + +- [https://github.com/OpenTalker/SadTalker](https://github.com/OpenTalker/SadTalker) +- [https://github.com/Rudrabha/Wav2Lip](https://github.com/Rudrabha/Wav2Lip) +- [https://github.com/Fictionarry/ER-NeRF](https://github.com/Fictionarry/ER-NeRF) + +**Voice Clone** + +- [https://github.com/RVC-Boss/GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS) +- [https://github.com/coqui-ai/TTS](https://github.com/coqui-ai/TTS) + +## License + +> [!CAUTION] +> +> When using this tool, please comply with all applicable laws, including copyright, data protection, and privacy laws. Do not use, modify, distribute, or sublicense this tool without permission from the original authors and/or copyright holders. + +`Linly-Talker` follows the MIT License. In addition to adhering to the MIT License, ensure that you comply with all license agreements for any referenced models and components. Unauthorized use may lead to legal consequences. + +## Star History + +[![Star History Chart](https://api.star-history.com/svg?repos=Kedreamix/Linly-Talker&type=Date)](https://star-history.com/#Kedreamix/Linly-Talker&Date) -Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference diff --git a/README_zh.md b/README_zh.md new file mode 100644 index 0000000000000000000000000000000000000000..1cd43da15e4bb76a44689b9cc605a2959860c7f2 --- /dev/null +++ b/README_zh.md @@ -0,0 +1,1062 @@ +# 数字人智能对话系统 - Linly-Talker — “数字人交互，与虚拟的自己互动” + +
+

Linly-Talker WebUI

+ +[![madewithlove](https://img.shields.io/badge/made_with-%E2%9D%A4-red?style=for-the-badge&labelColor=orange)](https://github.com/Kedreamix/Linly-Talker) + +
+ +[![Open In Colab](https://img.shields.io/badge/Colab-F9AB00?style=for-the-badge&logo=googlecolab&color=525252)](https://colab.research.google.com/github/Kedreamix/Linly-Talker/blob/main/colab_webui.ipynb) +[![Licence](https://img.shields.io/badge/LICENSE-MIT-green.svg?style=for-the-badge)](https://github.com/Kedreamix/Linly-Talker/blob/main/LICENSE) +[![Huggingface](https://img.shields.io/badge/🤗%20-Models%20Repo-yellow.svg?style=for-the-badge)](https://huggingface.co/Kedreamix/Linly-Talker) + +[**English**](./README.md) | [**中文简体**](./README_zh.md) + +
+ +**2023.12 更新** 📆 + +**用户可以上传任意图片进行对话** + +**2024.01 更新** 📆 + +- **令人兴奋的消息！我现在已经将强大的GeminiPro和Qwen大模型融入到我们的对话场景中。用户现在可以在对话中上传任何图片，为我们的互动增添了全新的层面。** +- **更新了FastAPI的部署调用方法。** +- **更新了微软TTS的高级设置选项，增加声音种类的多样性，以及加入视频字幕加强可视化。** +- **更新了GPT多轮对话系统，使得对话有上下文联系，提高数字人的交互性和真实感。** + +**2024.02 更新** 📆 + +- **更新了Gradio的版本为最新版本4.16.0，使得界面拥有更多的功能，比如可以摄像头拍摄图片构建数字人等。** +- **更新了ASR和THG，其中ASR加入了阿里的FunASR，具体更快的速度；THG部分加入了Wav2Lip模型，ER-NeRF在准备中(Comming Soon)。** +- **加入了语音克隆方法GPT-SoVITS模型，能够通过微调一分钟对应人的语料进行克隆，效果还是相当不错的，值得推荐。** +- **集成一个WebUI界面，能够更好的运行Linly-Talker。** + +**2024.04 更新** 📆 + +- **更新了除 Edge TTS的 Paddle TTS的离线方式。** +- **更新了ER-NeRF作为Avatar生成的选择之一。** +- **更新了app_talk.py，在不基于对话场景可自由上传语音和图片视频生成。** + +**2024.05 更新** 📆 + +- **更新零基础小白部署 AutoDL 教程，并且更新了codewithgpu的镜像，可以一键进行体验和学习。** +- **更新了WebUI.py，Linly-Talker WebUI支持多模块、多模型和多选项** + +**2024.06 更新** 📆 + +- **更新MuseTalk加入Linly-Talker之中，并且更新了WebUI中，能够基本实现实时对话。** +- **改进的WebUI在默认设置下不加载LLM模型，以减少显存使用，并且可以直接通过问题回复完成口播功能。精细化后的WebUI包含以下三个主要功能：个性化角色生成、数字人多轮智能对话以及MuseTalk实时对话。这些改进不仅减少了先前的显存冗余，还增加了更多提示，以帮助用户更轻松地使用。** + +**2024.08 更新** 📆 + +- **更新CosyVoice，具备优质的文本转语音（TTS）功能和语音克隆能力；同时更新了Wav2Lipv2，以提升整体效果** + +**2024.09 更新** 📆 + +- **新增 Linly-Talker API 文档，提供详细的接口说明，帮助用户通过 API 使用 Linly-Talker 的功能。** + +--- + +
+目录 + + +- [数字人智能对话系统 - Linly-Talker — “数字人交互，与虚拟的自己互动”](#数字人智能对话系统---linly-talker--数字人交互与虚拟的自己互动) + - [介绍](#介绍) + - [TO DO LIST](#to-do-list) + - [示例](#示例) + - [创建环境](#创建环境) + - [API 文档](#api-文档) + - [ASR - Speech Recognition](#asr---speech-recognition) + - [Whisper](#whisper) + - [FunASR](#funasr) + - [Coming Soon](#coming-soon) + - [TTS Text To Speech](#tts-text-to-speech) + - [Edge TTS](#edge-tts) + - [PaddleTTS](#paddletts) + - [Coming Soon](#coming-soon-1) + - [Voice Clone](#voice-clone) + - [GPT-SoVITS（推荐）](#gpt-sovits推荐) + - [XTTS](#xtts) + - [CosyVoice](#cosyvoice) + - [Coming Soon](#coming-soon-2) + - [THG - Avatar](#thg---avatar) + - [SadTalker](#sadtalker) + - [Wav2Lip](#wav2lip) + - [Wav2Lipv2](#wav2lipv2) + - [ER-NeRF](#er-nerf) + - [MuseTalk](#musetalk) + - [Coming Soon](#coming-soon-3) + - [LLM - Conversation](#llm---conversation) + - [Linly-AI](#linly-ai) + - [Qwen](#qwen) + - [Gemini-Pro](#gemini-pro) + - [ChatGPT](#chatgpt) + - [ChatGLM](#chatglm) + - [GPT4Free](#gpt4free) + - [LLM 多模型选择](#llm-多模型选择) + - [Coming Soon](#coming-soon-4) + - [优化](#优化) + - [Gradio](#gradio) + - [启动WebUI](#启动webui) + - [WebUI](#webui) + - [Old Verison](#old-verison) + - [文件夹结构](#文件夹结构) + - [参考](#参考) + - [许可协议](#许可协议) + - [Star History](#star-history) + + + +
+ +## 介绍 + +Linly-Talker是一款创新的数字人对话系统，它融合了最新的人工智能技术，包括大型语言模型（LLM）🤖、自动语音识别（ASR）🎙️、文本到语音转换（TTS）🗣️和语音克隆技术🎤。这个系统通过Gradio平台提供了一个交互式的Web界面，允许用户上传图片📷与AI进行个性化的对话交流💬。 + +系统的核心特点包括： +1. **多模型集成**：Linly-Talker整合了Linly、GeminiPro、Qwen等大模型，以及Whisper、SadTalker等视觉模型，实现了高质量的对话和视觉生成。 +2. **多轮对话能力**：通过GPT模型的多轮对话系统，Linly-Talker能够理解并维持上下文相关的连贯对话，极大地提升了交互的真实感。 +3. **语音克隆**：利用GPT-SoVITS等技术，用户可以上传一分钟的语音样本进行微调，系统将克隆用户的声音，使得数字人能够以用户的声音进行对话。 +4. **实时互动**：系统支持实时语音识别和视频字幕，使得用户可以通过语音与数字人进行自然的交流。 +5. **视觉增强**：通过数字人生成等技术，Linly-Talker能够生成逼真的数字人形象，提供更加沉浸式的体验。 + +Linly-Talker的设计理念是创造一种全新的人机交互方式，不仅仅是简单的问答，而是通过高度集成的技术，提供一个能够理解、响应并模拟人类交流的智能数字人。 + +![The system architecture of multimodal human–computer interaction.](docs/HOI.png) + +> [!NOTE] +> +> 查看我们的介绍视频 [demo video](https://www.bilibili.com/video/BV1rN4y1a76x/) +> +> 在B站上我录了一系列视频，也代表我更新的每一步与使用方法，详细查看[数字人智能对话系统 - Linly-Talker合集](https://space.bilibili.com/241286257/channel/collectiondetail?sid=2065753) +> +> - [🔥🔥🔥数字人对话系统 Linly-Talker🔥🔥🔥](https://www.bilibili.com/video/BV1rN4y1a76x/) +> - [🚀数字人的未来：Linly-Talker+GPT-SoVIT语音克隆技术的赋能之道](https://www.bilibili.com/video/BV1S4421A7gh/) +> - [AutoDL平台部署Linly-Talker (0基础小白超详细教程)](https://www.bilibili.com/video/BV1uT421m74z/) +> - [Linly-Talker 更新离线TTS集成及定制数字人方案](https://www.bilibili.com/video/BV1Mr421u7NN/) + +## TO DO LIST + +- [x] 基本完成对话系统流程，能够`语音对话` +- [x] 加入了LLM大模型，包括`Linly`，`Qwen`和`GeminiPro`的使用 +- [x] 可上传`任意数字人照片`进行对话 +- [x] Linly加入`FastAPI`调用方式 +- [x] 利用微软`TTS`加入高级选项，可设置对应人声以及音调等参数，增加声音的多样性 +- [x] 视频生成加入`字幕`，能够更好的进行可视化 +- [x] GPT`多轮对话`系统（提高数字人的交互性和真实感，增强数字人的智能） +- [x] 优化Gradio界面，加入更多模型，如Wav2Lip，FunASR等 +- [x] `语音克隆`技术，加入GPT-SoVITS，只需要一分钟的语音简单微调即可（语音克隆合成自己声音，提高数字人分身的真实感和互动体验） +- [x] 加入离线TTS以及NeRF-based的方法和模型 +- [x] Linly-Talker WebUI支持多模块、多模型和多选项 +- [x] 为Linly-Talker添加MuseTalk功能，基本达到实时的速度，交流速度很快 +- [x] 集成MuseTalk进入Linly-Talker WebUI +- [x] 加入了CosyVoice，具备优质的文本转语音（TTS）功能和语音克隆能力。同时，更新了Wav2Lipv2，以提升图片质量效果。 +- [x] 新增Linly-Talker API文档，提供详细的接口说明 +- [ ] `实时`语音识别（人与数字人之间就可以通过语音进行对话交流) + +> [!IMPORTANT] +> +> 🔆 该项目 Linly-Talker 正在进行中 - 欢迎提出PR请求！如果您有任何关于新的模型方法、研究、技术或发现运行错误的建议，请随时编辑并提交 PR。您也可以打开一个问题或通过电子邮件直接联系我。📩⭐ 如果您发现这个Github Project有用，请给它点个星！🤩 + +> [!TIP] +> +> 如果在部署的时候有任何的问题，可以关注[常见问题汇总.md](https://github.com/Kedreamix/Linly-Talker/blob/main/常见问题汇总.md)部分，我已经整理了可能出现的所有问题，另外交流群也在这里，我会定时更新，感谢大家的关注与使用！！！ + +## 示例 + +| 文字/语音对话 | 数字人回答 | +| :----------------------------------------------------------: | :----------------------------------------------------------: | +| 应对压力最有效的方法是什么？ | | +| 如何进行时间管理？ | | +| 撰写一篇交响乐音乐会评论，讨论乐团的表演和观众的整体体验。 | | +| 翻译成中文：Luck is a dividend of sweat. The more you sweat, the luckier you get. | | + +## 创建环境 + +> [!NOTE] +> +> AutoDL已发布镜像，可以直接使用，[https://www.codewithgpu.com/i/Kedreamix/Linly-Talker/Kedreamix-Linly-Talker](https://www.codewithgpu.com/i/Kedreamix/Linly-Talker/Kedreamix-Linly-Talker)，也可以使用docker来直接创建环境，我也会持续不断的更新镜像 +> +> ```bash +> docker pull registry.cn-beijing.aliyuncs.com/codewithgpu2/kedreamix-linly-talker:zYGdW3yO3D +> ``` +> +> Windows我加入了一个python一键整合包，可以按顺序进行运行，按照需求按照相应的依赖，并且下载对应的模型，即可运行，主要按照conda以后从02开始安装pytorch进行运行，如果有问题，请随时与我沟通 +> +> [Windows一键整合包](https://pan.quark.cn/s/cc8f19c45a15) + +下载代码 + +```bash +git clone https://github.com/Kedreamix/Linly-Talker.git --depth 1 + +cd Linly-Talker +git submodule update --init --recursive +``` + +若使用Linly-Talker，可以直接用anaconda进行安装环境，几乎包括所有的模型所需要的依赖，具体操作如下： + +```bash +conda create -n linly python=3.10 +conda activate linly + +# pytorch安装方式1：conda安装 +# CUDA 11.7 +# conda install pytorch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 pytorch-cuda=11.7 -c pytorch -c nvidia +# CUDA 11.8 +# conda install pytorch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 pytorch-cuda=11.8 -c pytorch -c nvidia + +# pytorch安装方式2：pip 安装 +# CUDA 11.7 +# pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 +# CUDA 11.8 +pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 --index-url https://download.pytorch.org/whl/cu118 + +conda install -q ffmpeg==4.2.2 # ffmpeg==4.2.2 + +# 升级pip +python -m pip install --upgrade pip +# 更换 pypi 源加速库的安装 +pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple + +pip install tb-nightly -i https://mirrors.aliyun.com/pypi/simple +pip install -r requirements_webui.txt + +# 安装有关musetalk依赖 +pip install --no-cache-dir -U openmim +mim install mmengine +mim install "mmcv==2.1.0" +mim install "mmdet>=3.1.0" +mim install "mmpose>=1.1.0" + +# 💡CosyVoice的ttsfrd可以用WeTextProcessing代替，所以可以省略一下几步，同时保证能够在其他python版本中运行 + +# ⚠️注意 首先需要去下载CosyVoice-ttsfrd，需要先完成下载模型再经过这一步 +# mkdir -p CosyVoice/pretrained_models # 创建文件夹 CosyVoice/pretrained_models +# mv checkpoints/CosyVoice_ckpt/CosyVoice-ttsfrd CosyVoice/pretrained_models # 移动目录 +# unzip CosyVoice/pretrained_models/CosyVoice-ttsfrd/resource.zip # 解压 +# 该whl库，只适用于python 3.8 的版本 +# pip install CosyVoice/pretrained_models/CosyVoice-ttsfrd/ttsfrd-0.3.6-cp38-cp38-linux_x86_64.whl + +# 安装NeRF-based依赖，可能问题较多，可以先放弃 +pip install "git+https://github.com/facebookresearch/pytorch3d.git" +# 如果在安装pytorch3d中出现问题，可以直接运行以下命令 +# python scripts/install_pytorch3d.py +pip install -r TFG/requirements_nerf.txt + +# 若pyaudio出现问题，可安装对应依赖 fatal error: portaudio.h +# sudo apt-get update +# sudo apt-get install libasound-dev portaudio19-dev libportaudio2 libportaudiocpp0 + +# 注意以下几个模块，若安装不成功，可以进入路径利用pip install . 或者 python setup.py install编译安装 +# NeRF/freqencoder +# NeRF/gridencoder +# NeRF/raymarching +# NeRF/shencoder + +# If you encounter sox compatibility issues +# ubuntu +sudo apt-get install sox libsox-dev +# centos +sudo yum install sox sox-devel +``` + +> [!NOTE] +> +> 安装过程可能耗时很长。 + +以下是旧版本的一些安装方法，可能存在会一些依赖冲突的问题，但是也不会出现太多bug，但是为了更好更方便的安装，我就更新了上述版本，以下版本可以忽略，或者遇到问题可以参考一下 + +> 首先使用anaconda安装环境，安装pytorch环境，具体操作如下： +> +> ```bash +> conda create -n linly python=3.10 +> conda activate linly +> +> # pytorch安装方式1：conda安装（推荐） +> conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.3 -c pytorch +> +> # pytorch安装方式2：pip 安装 +> pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu113 +> +> conda install -q ffmpeg # ffmpeg==4.2.2 +> +> pip install -r requirements_app.txt +> ``` +> +> 若使用语音克隆等模型，需要更高版本的Pytorch，但是功能也会更加丰富，不过需要的驱动版本可能要到cuda11.8，可选择 +> +> ```bash +> conda create -n linly python=3.10 +> conda activate linly +> +> pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 --index-url https://download.pytorch.org/whl/cu118 +> +> conda install -q ffmpeg # ffmpeg==4.2.2 +> +> pip install -r requirements_app.txt +> +> # 安装语音克隆对应的依赖 +> pip install -r VITS/requirements_gptsovits.txt +> ``` +> +> 若希望使用NeRF-based等模型等话，可能需要安装一下对应的环境 +> +> ```bash +> # 安装NeRF对应的依赖 +> pip install "git+https://github.com/facebookresearch/pytorch3d.git" +> pip install -r TFG/requirements_nerf.txt +> +> # 若pyaudio出现问题，可安装对应依赖 +> # sudo apt-get update +> # sudo apt-get install libasound-dev portaudio19-dev libportaudio2 libportaudiocpp0 +> +> # 注意以下几个模块，若安装不成功，可以进入路径利用pip install . 或者 python setup.py install编译安装 +> # NeRF/freqencoder +> # NeRF/gridencoder +> # NeRF/raymarching +> # NeRF/shencoder +> ``` +> +> 若使用PaddleTTS，可安装对应的环境 +> +> ```bash +> pip install -r TTS/requirements_paddle.txt +> ``` +> +> 若使用FunASR语音识别模型，可安装环境 +> +> ``` +> pip install -r ASR/requirements_funasr.txt +> ``` +> +> 若使用MuesTalk模型，可安装环境 +> +> ```bash +> pip install --no-cache-dir -U openmim +> mim install mmengine +> mim install "mmcv>=2.0.1" +> mim install "mmdet>=3.1.0" +> mim install "mmpose>=1.1.0" +> pip install -r TFG/requirements_musetalk.txt +> ``` +> + + + +> [!NOTE] +> +> 接下来还需要安装对应的模型，有以下下载方式，下载后安装文件架结构放置，文件夹结构在本文最后有说明，建议从modelscope下载，会第一时间更新 +> +> - [Baidu (百度云盘)](https://pan.baidu.com/s/1eF13O-8wyw4B3MtesctQyg?pwd=linl) (Password: `linl`) +> - [huggingface](https://huggingface.co/Kedreamix/Linly-Talker) +> - [modelscope](https://www.modelscope.cn/models/Kedreamix/Linly-Talker/summary) +> - [Quark(夸克网盘)](https://pan.quark.cn/s/f48f5e35796b) +> + +我制作一个脚本可以完成下述所有模型的下载，无需用户过多操作。这种方式适合网络稳定的情况，并且特别适合 Linux 用户。对于 Windows 用户，也可以使用 Git 来下载模型。如果网络环境不稳定，用户可以选择使用手动下载方法，或者尝试运行 Shell 脚本来完成下载。脚本具有以下功能。 + +1. **选择下载方式**: 用户可以选择从三种不同的源下载模型：ModelScope、Huggingface 或 Huggingface 镜像站点。 +2. **下载模型**: 根据用户的选择，执行相应的下载命令。 +3. **移动模型文件**: 下载完成后，将模型文件移动到指定的目录。 +4. **错误处理**: 在每一步操作中加入了错误检查，如果操作失败，脚本会输出错误信息并停止执行。 + +```bash +sh scripts/download_models.sh +``` + +**HuggingFace下载** + +如果速度太慢可以考虑镜像，参考 [简便快捷获取 Hugging Face 模型（使用镜像站点）](https://kedreamix.github.io/2024/01/05/Note/HuggingFace/?highlight=镜像) + +```bash +# 从huggingface下载预训练模型 +git lfs install +git clone https://huggingface.co/Kedreamix/Linly-Talker --depth 1 +# git lfs clone https://huggingface.co/Kedreamix/Linly-Talker + +# pip install -U huggingface_hub +# export HF_ENDPOINT=https://hf-mirror.com # 使用镜像网站 +huggingface-cli download --resume-download --local-dir-use-symlinks False Kedreamix/Linly-Talker --local-dir Linly-Talker +``` + +**ModelScope下载** + +```bash +# 从modelscope下载预训练模型 +# 1. git 方法 +git lfs install +git clone https://www.modelscope.cn/Kedreamix/Linly-Talker.git --depth 1 +# git lfs clone https://www.modelscope.cn/Kedreamix/Linly-Talker.git --depth 1 + +# 2. Python 代码下载 +pip install modelscope +from modelscope import snapshot_download +model_dir = snapshot_download('Kedreamix/Linly-Talker', resume_download=True, cache_dir='./', revision='master') +``` + +**移动所有模型到当前目录** + +如果百度网盘下载后，可以参考文档最后目录结构来移动目录 + +```bash +# 移动所有模型到当前目录 +# checkpoint中含有SadTalker和Wav2Lip等权重 +mv Linly-Talker/checkpoints/* ./checkpoints + +# 若使用GFPGAN增强，安装对应的库 +# pip install gfpgan +# mv Linly-Talker/gfpan ./ + +# 语音克隆模型 +mv Linly-Talker/GPT_SoVITS/pretrained_models/* ./GPT_SoVITS/pretrained_models/ + +# Qwen大模型 +mv Linly-Talker/Qwen ./ + +# MuseTalk模型 +mkdir -p ./Musetalk/models +mv Linly-Talker/MuseTalk/* ./Musetalk/models +``` + +为了大家的部署使用方便，更新了一个`configs.py`文件，可以对其进行一些超参数修改即可 + +```bash +# 设备运行端口 (Device running port) +port = 6006 + +# api运行端口及IP (API running port and IP) +mode = 'api' # api 需要先运行Linly-api-fast.py，暂时仅仅适用于Linly + +# 本地端口localhost:127.0.0.1 全局端口转发:"0.0.0.0" +ip = '127.0.0.1' +api_port = 7871 + +# LLM模型路径 (Linly model path) +mode = 'offline' +model_path = 'Qwen/Qwen-1_8B-Chat' + +# ssl证书 (SSL certificate) 麦克风对话需要此参数 +# 最好调整为绝对路径 +ssl_certfile = "./https_cert/cert.pem" +ssl_keyfile = "./https_cert/key.pem" +``` + + + +## API 文档 + +在 [api/README.md](api/README.md) 文件中，我们详细介绍了 Linly-Talker API 的使用和配置。这些文档为用户提供了关于如何调用 API、所需的参数、返回的数据格式等信息。通过查阅这些文档，用户可以深入了解如何通过 API 接口来实现 Linly-Talker 的功能，包括启动对话、上传图片、进行语音识别和生成语音等操作。 + +要获得这些详细的 API 接口说明，请访问 `api/README.md` 文件。 + + + +## ASR - Speech Recognition + +详细有关于语音识别的**使用介绍**与**代码实现**可见 [ASR - 同数字人沟通的桥梁](./ASR/README.md) + +### Whisper + +借鉴OpenAI的Whisper实现了ASR的语音识别，具体使用方法参考 [https://github.com/openai/whisper](https://github.com/openai/whisper) + +### FunASR + +阿里的`FunASR`的语音识别效果也是相当不错，而且时间也是比whisper更快的，对中文实际上是更好的。 + +同时funasr更能达到实时的效果，所以也将FunASR添加进去了，在ASR文件夹下的FunASR文件里可以进行体验，参考 [https://github.com/alibaba-damo-academy/FunASR](https://github.com/alibaba-damo-academy/FunASR)。 + + + +### Coming Soon + +欢迎大家提出建议，激励我不断更新模型，丰富Linly-Talker的功能。 + +## TTS Text To Speech + +详细有关于语音识别的**使用介绍**与**代码实现**可见 [TTS - 赋予数字人真实的语音交互能力](./TTS/README.md) + +### Edge TTS + +借鉴使用微软语音服务，具体使用方法参考[https://github.com/rany2/edge-tts](https://github.com/rany2/edge-tts) + + + +### PaddleTTS + +在实际使用过程中，可能会遇到需要离线操作的情况。由于Edge TTS需要在线环境才能生成语音，因此我们选择了同样开源的PaddleSpeech作为文本到语音（TTS）的替代方案。虽然效果可能有所不同，但PaddleSpeech支持离线操作。更多信息可参考PaddleSpeech的GitHub页面：[PaddleSpeech](https://github.com/PaddlePaddle/PaddleSpeech)。 + +### Coming Soon + +欢迎大家提出建议，激励我不断更新模型，丰富Linly-Talker的功能。 + + + +## Voice Clone + +详细有关于语音克隆的**使用介绍**与**代码实现**可见 [Voice Clone - 在对话时悄悄偷走你的声音](./VITS/README.md) + +### GPT-SoVITS（推荐） + +感谢大家的开源贡献，我借鉴了当前开源的语音克隆模型 `GPT-SoVITS`，我认为效果是相当不错的，项目地址可参考[https://github.com/RVC-Boss/GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS) + +我将一些训练好的克隆权重放在了[Quark(夸克网盘)](https://pan.quark.cn/s/f48f5e35796b)中，大家可以自取权重和参考音频。 + + + +### XTTS + +Coqui XTTS是一个领先的深度学习文本到语音任务（TTS语音生成模型）工具包，通过使用一段5秒钟以上的语音频剪辑就可以完成声音克隆*将语音克隆到不同的语言*。 + +🐸TTS 是一个用于高级文本转语音生成的库。 + +🚀 超过 1100 种语言的预训练模型。 + +🛠️ 用于以任何语言训练新模型和微调现有模型的工具。 + +📚 用于数据集分析和管理的实用程序。 + +- 在线体验XTTS [https://huggingface.co/spaces/coqui/xtts](https://huggingface.co/spaces/coqui/xtts) +- 官方Github库 https://github.com/coqui-ai/TTS + + + +### CosyVoice + +CosyVoice 是阿里通义实验室开源的一款多语言语音理解模型，专注于高质量的语音合成。该模型经过超过15万小时的数据训练，支持中文、英语、日语、粤语和韩语等多种语言的语音合成。CosyVoice 在多语言语音生成、零样本语音生成、跨语言声音合成和指令执行能力等方面表现出色。 + +CosyVoice 支持 one-shot 音色克隆技术，仅需3至10秒的原始音频即可生成逼真自然的模拟音色，包括韵律和情感等细节。 + +GitHub项目地址：https://github.com/FunAudioLLM/CosyVoice + +CosyVoice 包含多个预训练的语音合成模型，主要包括： + +1. **CosyVoice-300M**：支持中、英、日、粤、韩等多语言的零样本（zero-shot）和跨语言（cross-lingual）语音合成。 +2. **CosyVoice-300M-SFT**：专注于监督微调（SFT）推理的模型。 +3. **CosyVoice-300M-Instruct**：支持指令推理的模型，可以生成包含特定语气、情感等元素的语音。 + +主要功能和特性 + +1. **多语言支持**：能够处理多种语言，包括中文、英语、日语、粤语和韩语等。 +2. **多风格语音合成**：通过指令可以控制生成语音的语气和情感。 +3. **流式推理支持**：未来将支持流式推理模式，包括KV缓存和SDPA等用于实时性优化的技术。 + +暂时 Linly-Talker 中加入了 预训练音色、3s极速复刻 和 跨语种复刻 三种功能，更多有趣的可以继续关注 Linly-Talker，以下是CosyVoice的一些效果 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
PROMPT TEXTPROMPT SPEECHTARGET TEXTRESULT
预训练音色中文女 音色（'中文女', '中文男', '日语男', '粤语女', '英文女', '英文男', '韩语女'）—你好，我是通义生成式语音大模型，请问有什么可以帮您的吗？ + +[sft.webm](https://github.com/user-attachments/assets/a9f9c8c4-7137-4845-9adb-a93ac304131e) + +
3s语言复刻希望你以后能够做的比我还好呦。 + +[zero_shot_prompt.webm](https://github.com/user-attachments/assets/1ef09db6-42e5-42d2-acc2-d44e70b147f9) +收到好友从远方寄来的生日礼物，那份意外的惊喜与深深的祝福让我心中充满了甜蜜的快乐，笑容如花儿般绽放。 + +[zero_shot.webm](https://github.com/user-attachments/assets/ba46c58f-2e16-4440-b920-51ec288f09e6) +
跨语种复刻在那之后，完全收购那家公司，因此保持管理层的一致性，利益与即将加入家族的资产保持一致。这就是我们有时不买下全部的原因。 + +[cross_lingual_prompt.webm](https://github.com/user-attachments/assets/378ae5e6-b52a-47b4-b0db-d84d1edd6e56) + +< |en|>And then later on, fully acquiring that company. So keeping management in line, interest in line with the asset that's coming into the family is a reason why sometimes we don't buy the whole thing. + + +[cross_lingual.webm](https://github.com/user-attachments/assets/b0162fc8-5738-4642-9fdd-b388a4965546) +
+ + + +### Coming Soon + +欢迎大家提出建议，激励我不断更新模型，丰富Linly-Talker的功能。 + + + +## THG - Avatar + +详细有关于数字人生成的**使用介绍**与**代码实现**可见 [THG - 构建智能数字人](./TFG/README.md) + +### SadTalker + +数字人生成可使用SadTalker（CVPR 2023）,详情介绍见 [https://sadtalker.github.io](https://sadtalker.github.io) + +在使用前先下载SadTalker模型: + +```bash +bash scripts/sadtalker_download_models.sh +``` + +[Baidu (百度云盘)](https://pan.baidu.com/s/1eF13O-8wyw4B3MtesctQyg?pwd=linl) (Password: `linl`) + +[Quark(夸克网盘)](https://pan.quark.cn/s/f48f5e35796b) + +> 如果百度网盘下载，记住是放在checkpoints文件夹下，百度网盘下载的默认命名为sadtalker，实际应该重命名为checkpoints + +### Wav2Lip + +数字人生成还可使用Wav2Lip（ACM 2020），详情介绍见 [https://github.com/Rudrabha/Wav2Lip](https://github.com/Rudrabha/Wav2Lip) + +在使用前先下载Wav2Lip模型： + +| Model | Description | Link to the model | +| ---------------------------- | ----------------------------------------------------- | ------------------------------------------------------------ | +| Wav2Lip | Highly accurate lip-sync | [Link](https://iiitaphyd-my.sharepoint.com/:u:/g/personal/radrabha_m_research_iiit_ac_in/Eb3LEzbfuKlJiR600lQWRxgBIY27JZg80f7V9jtMfbNDaQ?e=TBFBVW) | +| Wav2Lip + GAN | Slightly inferior lip-sync, but better visual quality | [Link](https://iiitaphyd-my.sharepoint.com/:u:/g/personal/radrabha_m_research_iiit_ac_in/EdjI7bZlgApMqsVoEUUXpLsBxqXbn5z8VTmoxp55YNDcIA?e=n9ljGW) | +| Expert Discriminator | Weights of the expert discriminator | [Link](https://iiitaphyd-my.sharepoint.com/:u:/g/personal/radrabha_m_research_iiit_ac_in/EQRvmiZg-HRAjvI6zqN9eTEBP74KefynCwPWVmF57l-AYA?e=ZRPHKP) | +| Visual Quality Discriminator | Weights of the visual disc trained in a GAN setup | [Link](https://iiitaphyd-my.sharepoint.com/:u:/g/personal/radrabha_m_research_iiit_ac_in/EQVqH88dTm1HjlK11eNba5gBbn15WMS0B0EZbDBttqrqkg?e=ic0ljo) | + +### Wav2Lipv2 + +借鉴于 https://github.com/primepake/wav2lip_288x288 仓库，使用新训练的288模型，能够得到更高质量的结果 + +同时使用yolo进行检测面部，整体的效果都会更好一点，具体可以在Linly-Talker中进行比较和测试，模型已更新，效果比较如下 + +| Wav2Lip | Wav2Lipv2 | +| ------------------------------------------------------------ | ------------------------------------------------------------ | +| | | + + + +### ER-NeRF + +ER-NeRF（ICCV2023）是使用最新的NeRF技术构建的数字人，拥有定制数字人的特性，只需要一个人的五分钟左右到视频即可重建出来，具体可参考 [https://github.com/Fictionarry/ER-NeRF](https://github.com/Fictionarry/ER-NeRF) + +已更新，以奥巴马形象作为参考，若考虑更好的效果，可能考虑克隆定制数字人的声音以得到更好的效果。 + + + +### MuseTalk + +MuseTalk 是一个实时高质量的音频驱动唇形同步模型，能够以30帧每秒以上的速度在NVIDIA Tesla V100显卡上运行。该模型可以与由 MuseV 生成的输入视频结合使用，作为完整的虚拟人解决方案的一部分。具体可参考 [https://github.com/TMElyralab/MuseTalk](https://github.com/TMElyralab/MuseTalk) + +MuseTalk 是一个实时高质量的音频驱动唇形同步模型，经过训练可以在 ft-mse-vae 的潜在空间中进行工作。它具有以下特性： + +- **未见面孔的同步**：根据输入的音频对未见过的面孔进行修改，面部区域的大小为 256 x 256。 +- **多语言支持**：支持多种语言的音频输入，包括中文、英语和日语。 +- **高性能实时推理**：在 NVIDIA Tesla V100 上可以实现 30帧每秒以上的实时推理。 +- **面部中心点调整**：支持修改面部区域的中心点位置，这对生成结果有显著影响。 +- **HDTF 数据集训练**：提供在 HDTF 数据集上训练的模型检查点。 +- **训练代码即将发布**：训练代码即将发布，方便进一步的开发和研究。 + +MuseTalk 提供了一个高效且灵活的工具，使虚拟人的面部表情能够精确同步于音频，为实现全方位互动的虚拟人迈出了重要一步。 + +在Linly-Talker中已经加入了MuseTalk，基于MuseV的视频进行推理，得到了比较理想的速度进行对话，基本达到实时的效果，还是非常不错的，也是可以基于流式进行推理的。 + + + +### Coming Soon + +欢迎大家提出建议，激励我不断更新模型，丰富Linly-Talker的功能。 + + + +## LLM - Conversation + +详细有关于大模型的**使用介绍**与**代码实现**可见 [LLM - 大语言模型为数字人赋能](./LLM/README.md) + +### Linly-AI + +Linly来自深圳大学数据工程国家重点实验室，参考 [https://github.com/CVI-SZU/Linly](https://github.com/CVI-SZU/Linly) + + + +### Qwen + +来自阿里云的Qwen，查看 [https://github.com/QwenLM/Qwen](https://github.com/QwenLM/Qwen) + +如果想要快速使用，可以选1.8B的模型，参数比较少，在较小的显存也可以正常使用，当然这一部分可以替换 + +下载 Qwen1.8B 模型: [https://huggingface.co/Qwen/Qwen-1_8B-Chat](https://huggingface.co/Qwen/Qwen-1_8B-Chat) + + + +### Gemini-Pro + +来自 Google 的 Gemini-Pro，了解更多请访问 [https://deepmind.google/technologies/gemini/](https://deepmind.google/technologies/gemini/) + +请求 API 密钥: [https://makersuite.google.com/](https://makersuite.google.com/) + + + +### ChatGPT + +来自OpenAI的，需要申请API，了解更多请访问 [https://platform.openai.com/docs/introduction](https://platform.openai.com/docs/introduction) + + + +### ChatGLM + +来自清华的，了解更多请访问 [https://github.com/THUDM/ChatGLM3](https://github.com/THUDM/ChatGLM3) + + + +### GPT4Free + +可参考[https://github.com/xtekky/gpt4free](https://github.com/xtekky/gpt4free)，免费白嫖使用GPT4等模型 + + + +### LLM 多模型选择 + +在 webui.py 文件中，轻松选择您需要的模型，⚠️第一次运行要先下载模型，参考Qwen1.8B + + + +### Coming Soon + +欢迎大家提出建议，激励我不断更新模型，丰富Linly-Talker的功能。 + + + +## 优化 + +一些优化: + +- 使用固定的输入人脸图像,提前提取特征,避免每次读取 + +- 移除不必要的库,缩短总时间 + +- 只保存最终视频输出,不保存中间结果,提高性能 + +- 使用OpenCV生成最终视频,比mimwrite更快 + + + +## Gradio + +Gradio是一个Python库,提供了一种简单的方式将机器学习模型作为交互式Web应用程序来部署。 + +对Linly-Talker而言,使用Gradio有两个主要目的: + +1. **可视化与演示**:Gradio为模型提供一个简单的Web GUI,上传图片和文本后可以直观地看到结果。这是展示系统能力的有效方式。 + +2. **用户交互**:Gradio的GUI可以作为前端,允许用户与Linly-Talker进行交互对话。用户可以上传自己的图片并输入问题,实时获取回答。这提供了更自然的语音交互方式。 + +具体来说,我们在app.py中创建了一个Gradio的Interface,接收图片和文本输入,调用函数生成回应视频,在GUI中显示出来。这样就实现了浏览器交互而不需要编写复杂的前端。 + +总之,Gradio为Linly-Talker提供了可视化和用户交互的接口,是展示系统功能和让最终用户使用系统的有效途径。 + +> 若考虑实时对话，可能需要换个框架，或者对Gradio进行魔改，希望和大家一起努力 + +## 启动WebUI + +之前我将很多个版本都是分开来的，实际上运行多个会比较麻烦，所以后续我增加了变成WebUI一个界面即可体验，后续也会不断更新 + +### WebUI + +现在已加入WebUI的功能如下 + +- [x] 文本/语音数字人对话（固定数字人，分男女角色） + +- [x] 任意图片数字人对话（可上传任意图片数字人） + +- [x] 多轮GPT对话（加入历史对话数据，链接上下文） + +- [x] 语音克隆对话（基于GPT-SoVITS设置进行语音克隆，也可根据语音对话的声音进行克隆） + +- [x] 数字人文本/语音播报（根据输入的文字/语音进行播报） + +- [x] 多模块➕多模型➕多选择 + + - [x] 角色多选择：女性角色/男性角色/自定义角色(每一部分都可以自动上传图片)/Comming Soon + - [x] TTS模型多选择：EdgeTTS / PaddleTTS/ GPT-SoVITS/CosyVoice/Comming Soon + - [x] LLM模型多选择： Linly/ Qwen / ChatGLM/ GeminiPro/ ChatGPT/Comming Soon + - [x] Talker模型多选择：Wav2Lip/ Wav2Lipv2/ SadTalker/ ERNeRF/ MuseTalk/Comming Soon + - [x] ASR模型多选择：Whisper/ FunASR/Comming Soon + + ![](docs/WebUI2.png) + +可以直接运行webui来得到结果，可以看到的页面如下 + +```bash +# WebUI +python webui.py +``` + +![](docs/WebUI.png) + + + +这次更新了一下界面，我们可以自由选择GPT-SoVITS微调后的模型来实现，上传参考音频即可很好的克隆声音 + +![](docs/WebUI3.png) + + + +### Old Verison + +> 这一部分是为了保证每部份代码都是正确的，所以会先对每一个模块都进行测试和改进 + +启动一共有几种模式，可以选择特定的场景进行设置 + +第一种只有固定了人物问答，设置好了人物，省去了预处理时间 + +```bash +python app.py +``` + +![](docs/UI.png) + +最近更新了第一种模式，加入了Wav2Lip模型进行对话 + +```bash +python appv2.py +``` + +第二种是可以任意上传图片进行对话 + +```bash +python app_img.py +``` + +![](docs/UI2.png) + +第三种是在第一种的基础上加入了大语言模型，加入了多轮的GPT对话 + +```bash +python app_multi.py +``` + +![](docs/UI3.png) + +现在加入了语音克隆的部分，可以自由切换自己克隆的声音模型和对应的人图片进行实现，这里我选择了一个烟嗓音和男生图片 + +```bash +python app_vits.py +``` + +加入了第四种方式，不固定场景进行对话，直接输入语音或者生成语音进行数字人生成，内置了Sadtalker，Wav2Lip，ER-NeRF等方式 + +> ER-NeRF是针对单独一个人的视频进行训练的，所以需要替换特定的模型才能进行渲染得到正确的结果，内置了Obama的权重，可直接用 + +```bash +python app_talk.py +``` + +![](docs/UI4.png) + +加入了MuseTalk的方式，能够将MuseV的视频进行预处理，预处理后进行对话，速度基本能够达到实时的要求，速度非常快，MuseTalk已加入在WebUI中。 + +```bash +python app_musetalk.py +``` + +![](docs/UI5.png) + +## 文件夹结构 + +> [!NOTE] +> +> 所有的权重部分可以从这下载，百度网盘可能有时候会更新慢一点，建议从夸克网盘下载，会第一时间更新 +> +> - [Baidu (百度云盘)](https://pan.baidu.com/s/1eF13O-8wyw4B3MtesctQyg?pwd=linl) (Password: `linl`) +> - [huggingface](https://huggingface.co/Kedreamix/Linly-Talker) +> - [modelscope](https://www.modelscope.cn/models/Kedreamix/Linly-Talker/files) +> - [Quark(夸克网盘)](https://pan.quark.cn/s/f48f5e35796b) +> + +权重文件夹结构如下 + +```bash +Linly-Talker/ +├── checkpoints +│ ├── audio_visual_encoder.pth +│ ├── hub +│ │ └── checkpoints +│ │ └── s3fd-619a316812.pth +│ ├── lipsync_expert.pth +│ ├── mapping_00109-model.pth.tar +│ ├── mapping_00229-model.pth.tar +│ ├── May.json +│ ├── May.pth +│ ├── Obama_ave.pth +│ ├── Obama.json +│ ├── Obama.pth +│ ├── ref_eo.npy +│ ├── ref.npy +│ ├── ref.wav +│ ├── SadTalker_V0.0.2_256.safetensors +│ ├── visual_quality_disc.pth +│ ├── wav2lip_gan.pth +│ └── wav2lip.pth +├── gfpgan +│   └── weights +│   ├── alignment_WFLW_4HG.pth +│   └── detection_Resnet50_Final.pth +├── GPT_SoVITS +│   └── pretrained_models +│   ├── chinese-hubert-base +│   │   ├── config.json +│   │   ├── preprocessor_config.json +│   │   └── pytorch_model.bin +│   ├── chinese-roberta-wwm-ext-large +│   │   ├── config.json +│   │   ├── pytorch_model.bin +│   │   └── tokenizer.json +│   ├── README.md +│   ├── s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt +│   ├── s2D488k.pth +│   ├── s2G488k.pth +│   └── speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch + +├── MuseTalk +│ ├── models +│ │ ├── dwpose +│ │ │ └── dw-ll_ucoco_384.pth +│ │ ├── face-parse-bisent +│ │ │ ├── 79999_iter.pth +│ │ │ └── resnet18-5c106cde.pth +│ │ ├── musetalk +│ │ │ ├── musetalk.json +│ │ │ └── pytorch_model.bin +│ │ ├── README.md +│ │ ├── sd-vae-ft-mse +│ │ │ ├── config.json +│ │ │ └── diffusion_pytorch_model.bin +│ │ └── whisper +│ │ └── tiny.pt +├── Qwen +│   └── Qwen-1_8B-Chat +│   ├── assets +│   │   ├── logo.jpg +│   │   ├── qwen_tokenizer.png +│   │   ├── react_showcase_001.png +│   │   ├── react_showcase_002.png +│   │   └── wechat.png +│   ├── cache_autogptq_cuda_256.cpp +│   ├── cache_autogptq_cuda_kernel_256.cu +│   ├── config.json +│   ├── configuration_qwen.py +│   ├── cpp_kernels.py +│   ├── examples +│   │   └── react_prompt.md +│   ├── generation_config.json +│   ├── LICENSE +│   ├── model-00001-of-00002.safetensors +│   ├── model-00002-of-00002.safetensors +│   ├── modeling_qwen.py +│   ├── model.safetensors.index.json +│   ├── NOTICE +│   ├── qwen_generation_utils.py +│   ├── qwen.tiktoken +│   ├── README.md +│   ├── tokenization_qwen.py +│   └── tokenizer_config.json +├── Whisper +│ ├── base.pt +│ └── tiny.pt +├── FunASR +│ ├── punc_ct-transformer_zh-cn-common-vocab272727-pytorch +│ │ ├── configuration.json +│ │ ├── config.yaml +│ │ ├── example +│ │ │ └── punc_example.txt +│ │ ├── fig +│ │ │ └── struct.png +│ │ ├── model.pt +│ │ ├── README.md +│ │ └── tokens.json +│ ├── speech_fsmn_vad_zh-cn-16k-common-pytorch +│ │ ├── am.mvn +│ │ ├── configuration.json +│ │ ├── config.yaml +│ │ ├── example +│ │ │ └── vad_example.wav +│ │ ├── fig +│ │ │ └── struct.png +│ │ ├── model.pt +│ │ └── README.md +│ └── speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch +│ ├── am.mvn +│ ├── asr_example_hotword.wav +│ ├── configuration.json +│ ├── config.yaml +│ ├── example +│ │ ├── asr_example.wav +│ │ └── hotword.txt +│ ├── fig +│ │ ├── res.png +│ │ └── seaco.png +│ ├── model.pt +│ ├── README.md +│ ├── seg_dict +│ └── tokens.json +└── README.md +``` + +## 参考 + +**ASR** + +- [https://github.com/openai/whisper](https://github.com/openai/whisper) +- [https://github.com/alibaba-damo-academy/FunASR](https://github.com/alibaba-damo-academy/FunASR) + +**TTS** + +- [https://github.com/rany2/edge-tts](https://github.com/rany2/edge-tts) +- [https://github.com/PaddlePaddle/PaddleSpeech](https://github.com/PaddlePaddle/PaddleSpeech) + +**LLM** + +- [https://github.com/CVI-SZU/Linly](https://github.com/CVI-SZU/Linly) +- [https://github.com/QwenLM/Qwen](https://github.com/QwenLM/Qwen) +- [https://deepmind.google/technologies/gemini/](https://deepmind.google/technologies/gemini/) +- [https://github.com/THUDM/ChatGLM3](https://github.com/THUDM/ChatGLM3) +- [https://openai.com](https://openai.com) + +**THG** + +- [https://github.com/OpenTalker/SadTalker](https://github.com/OpenTalker/SadTalker) +- [https://github.com/Rudrabha/Wav2Lip](https://github.com/Rudrabha/Wav2Lip) +- [https://github.com/Fictionarry/ER-NeRF](https://github.com/Fictionarry/ER-NeRF) + +**Voice Clone** + +- [https://github.com/RVC-Boss/GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS) +- [https://github.com/coqui-ai/TTS](https://github.com/coqui-ai/TTS) + + + +## 许可协议 + +> [!CAUTION] +> +> 在使用本工具时，请遵守相关法律，包括版权法、数据保护法和隐私法。未经原作者和/或版权所有者许可，请勿使用本工具。 + +`Linly-Talker` 遵循 MIT Licence。在使用本工具时，请遵守相关法律，包括版权法、数据保护法和隐私法。未经原作者和/或版权所有者许可，请勿使用本工具。未经原作者和/或版权所有者许可，请勿使用本工具。此外，请确保遵守您参考的模型和组件中的所有许可协议。 + +## Star History + +[![Star History Chart](https://api.star-history.com/svg?repos=Kedreamix/Linly-Talker&type=Date)](https://star-history.com/#Kedreamix/Linly-Talker&Date) + diff --git a/TFG/MuseTalk.py b/TFG/MuseTalk.py new file mode 100644 index 0000000000000000000000000000000000000000..1477e812c48ef820c80eb9eb21483de2e696f8cb --- /dev/null +++ b/TFG/MuseTalk.py @@ -0,0 +1,786 @@ +import os +import sys +sys.path.append('./Musetalk') +import os +import time +import re +from huggingface_hub import snapshot_download +import requests +import numpy as np +import cv2 +import torch +import glob +import pickle +from tqdm import tqdm +import copy +from argparse import Namespace +import gdown +import imageio +import json +import shutil +import threading +import queue +from moviepy.editor import * +from musetalk.utils.utils import get_file_type,get_video_fps,datagen +from musetalk.utils.preprocessing import get_landmark_and_bbox,read_imgs,coord_placeholder,get_bbox_range +from musetalk.utils.blending import get_image,get_image_prepare_material,get_image_blending +from musetalk.utils.utils import load_all_model +import gradio as gr +# ProjectDir = os.path.abspath(os.path.dirname(__file__)) +CheckpointsDir = "Musetalk/Musetalk/models" + +def download_model(): + if not os.path.exists(CheckpointsDir): + os.makedirs(CheckpointsDir) + print("Checkpoint Not Downloaded, start downloading...") + tic = time.time() + snapshot_download( + repo_id="TMElyralab/MuseTalk", + local_dir=CheckpointsDir, + max_workers=8, + local_dir_use_symlinks=True, + force_download=True, resume_download=False + ) + # weight + os.makedirs(f"{CheckpointsDir}/sd-vae-ft-mse/") + snapshot_download( + repo_id="stabilityai/sd-vae-ft-mse", + local_dir=CheckpointsDir+'/sd-vae-ft-mse', + max_workers=8, + local_dir_use_symlinks=True, + force_download=True, resume_download=False + ) + #dwpose + os.makedirs(f"{CheckpointsDir}/dwpose/") + snapshot_download( + repo_id="yzd-v/DWPose", + local_dir=CheckpointsDir+'/dwpose', + max_workers=8, + local_dir_use_symlinks=True, + force_download=True, resume_download=False + ) + #vae + url = "https://openaipublic.azureedge.net/main/whisper/models/65147644a518d12f04e32d6f3b26facc3f8dd46e5390956a9424a650c0ce22b9/tiny.pt" + response = requests.get(url) + # 确保请求成功 + if response.status_code == 200: + # 指定文件保存的位置 + file_path = f"{CheckpointsDir}/whisper/tiny.pt" + os.makedirs(f"{CheckpointsDir}/whisper/") + # 将文件内容写入指定位置 + with open(file_path, "wb") as f: + f.write(response.content) + else: + print(f"请求失败，状态码：{response.status_code}") + #gdown face parse + url = "https://drive.google.com/uc?id=154JgKpzCPW82qINcVieuPH3fZ2e0P812" + os.makedirs(f"{CheckpointsDir}/face-parse-bisent/") + file_path = f"{CheckpointsDir}/face-parse-bisent/79999_iter.pth" + gdown.download(url, file_path, quiet=False) + #resnet + url = "https://download.pytorch.org/models/resnet18-5c106cde.pth" + response = requests.get(url) + # 确保请求成功 + if response.status_code == 200: + # 指定文件保存的位置 + file_path = f"{CheckpointsDir}/face-parse-bisent/resnet18-5c106cde.pth" + # 将文件内容写入指定位置 + with open(file_path, "wb") as f: + f.write(response.content) + else: + print(f"请求失败，状态码：{response.status_code}") + + + toc = time.time() + + print(f"download cost {toc-tic} seconds") + print_directory_contents(CheckpointsDir) + + else: + print("Already download the model.") + + +# download_model() # for huggingface deployment. +def video2imgs(vid_path, save_path, ext = '.png',cut_frame = 10000000): + cap = cv2.VideoCapture(vid_path) + count = 0 + while True: + if count > cut_frame: + break + ret, frame = cap.read() + if ret: + cv2.imwrite(f"{save_path}/{count:08d}.png", frame) + count += 1 + else: + break + +def osmakedirs(path_list): + for path in path_list: + os.makedirs(path) if not os.path.exists(path) else None + +class MuseTalk_RealTime: + def __init__(self): + if torch.cuda.is_available(): + device = "cuda" + elif torch.backends.mps.is_available(): + device = "mps" + else: + device = "cpu" + self.device = device + self.load = False + # self.avatar_info = { + # "avatar_id":avatar_id, + # "video_path":video_path, + # "bbox_shift":bbox_shift + # } + self.skip_save_images = False + + self.avatar_id = None + self.avatar_path = None + self.full_imgs_path = None + self.coords_path = None + self.latents_out_path = None + self.video_out_path = None + self.mask_out_path = None + self.mask_coords_path = None + self.avatar_info_path = None + self.input_latent_list_cycle = None + self.mask_coords_list_cycle = None + self.mask_list_cycle = None + self.frame_list_cycle = None + + def init_model(self): + # load model weights + self.audio_processor, self.vae, self.unet, self.pe = load_all_model() + self.timesteps = torch.tensor([0], device=self.device) + self.pe = self.pe.half() + self.vae.vae = self.vae.vae.half() + self.unet.model = self.unet.model.half() + self.load = True + + def process_frames(self, + res_frame_queue, + video_len): + print(video_len) + while True: + if self.idx>=video_len-1: + break + try: + start = time.time() + res_frame = res_frame_queue.get(block=True, timeout=1) + except queue.Empty: + continue + + bbox = self.coord_list_cycle[self.idx%(len(self.coord_list_cycle))] + ori_frame = copy.deepcopy(self.frame_list_cycle[self.idx%(len(self.frame_list_cycle))]) + x1, y1, x2, y2 = bbox + try: + res_frame = cv2.resize(res_frame.astype(np.uint8),(x2-x1,y2-y1)) + except: + continue + mask = self.mask_list_cycle[self.idx%(len(self.mask_list_cycle))] + mask_crop_box = self.mask_coords_list_cycle[self.idx%(len(self.mask_coords_list_cycle))] + #combine_frame = get_image(ori_frame,res_frame,bbox) + combine_frame = get_image_blending(ori_frame,res_frame,bbox,mask,mask_crop_box) + + if self.skip_save_images is False: + cv2.imwrite(f"{self.avatar_path}/tmp/{str(self.idx).zfill(8)}.png",combine_frame) + self.idx = self.idx + 1 + + def prepare_material(self, video_path, bbox_shift, progress=gr.Progress(track_tqdm=True)): + self.video_path = video_path + self.bbox_shift = bbox_shift + self.avatar_id = os.path.basename(video_path).split(".")[0] + self.avatar_path = f"./results/avatars/{self.avatar_id}" + self.full_imgs_path = f"{self.avatar_path}/full_imgs" + self.coords_path = f"{self.avatar_path}/coords.pkl" + self.latents_out_path= f"{self.avatar_path}/latents.pt" + self.video_out_path = f"{self.avatar_path}/vid_output/" + self.mask_out_path =f"{self.avatar_path}/mask" + self.mask_coords_path =f"{self.avatar_path}/mask_coords.pkl" + self.avatar_info_path = f"{self.avatar_path}/avator_info.json" + # 若存在先删除 + if os.path.exists(self.full_imgs_path): + shutil.rmtree(self.full_imgs_path) + shutil.rmtree(self.mask_out_path) + shutil.rmtree(self.video_out_path) + osmakedirs([self.avatar_path,self.full_imgs_path,self.video_out_path,self.mask_out_path]) + print("preparing data materials ... ...") + progress(0, desc = "preparing data materials ...") + if os.path.isfile(video_path): + video2imgs(video_path, self.full_imgs_path, ext = 'png') + else: + print(f"copy files in {video_path}") + files = os.listdir(video_path) + files.sort() + files = [file for file in files if file.split(".")[-1]=="png"] + for filename in files: + shutil.copyfile(f"{video_path}/{filename}", f"{self.full_imgs_path}/{filename}") + input_img_list = sorted(glob.glob(os.path.join(self.full_imgs_path, '*.[jpJP][pnPN]*[gG]'))) + # bbox_shift_text = get_bbox_range(input_img_list, self.bbox_shift) + + progress(0, desc = "extracting landmarks...") + print("extracting landmarks ...") + coord_list, frame_list, bbox_shift_text = get_landmark_and_bbox(input_img_list, bbox_shift) + input_latent_list = [] + idx = -1 + # maker if the bbox is not sufficient + coord_placeholder = (0.0,0.0,0.0,0.0) + for bbox, frame in zip(coord_list, frame_list): + idx = idx + 1 + if bbox == coord_placeholder: + continue + x1, y1, x2, y2 = bbox + crop_frame = frame[y1:y2, x1:x2] + resized_crop_frame = cv2.resize(crop_frame,(256,256),interpolation = cv2.INTER_LANCZOS4) + latents = self.vae.get_latents_for_unet(resized_crop_frame) + input_latent_list.append(latents) + + self.frame_list_cycle = frame_list + frame_list[::-1] + self.coord_list_cycle = coord_list + coord_list[::-1] + self.input_latent_list_cycle = input_latent_list + input_latent_list[::-1] + self.mask_coords_list_cycle = [] + self.mask_list_cycle = [] + + progress(0, desc = "saving masks...") + for i,frame in enumerate(tqdm(self.frame_list_cycle)): + cv2.imwrite(f"{self.full_imgs_path}/{str(i).zfill(8)}.png",frame) + + face_box = self.coord_list_cycle[i] + mask,crop_box = get_image_prepare_material(frame,face_box) + cv2.imwrite(f"{self.mask_out_path}/{str(i).zfill(8)}.png",mask) + self.mask_coords_list_cycle += [crop_box] + self.mask_list_cycle.append(mask) + + with open(self.mask_coords_path, 'wb') as f: + pickle.dump(self.mask_coords_list_cycle, f) + + with open(self.coords_path, 'wb') as f: + pickle.dump(self.coord_list_cycle, f) + + torch.save(self.input_latent_list_cycle, os.path.join(self.latents_out_path)) + return video_path, bbox_shift_text + + def prepare_material_(self): + print("preparing data materials ... ...") + # with open(self.avatar_info_path, "w") as f: + # json.dump(self.avatar_info, f) + + if os.path.isfile(self.video_path): + video2imgs(self.video_path, self.full_imgs_path, ext = 'png') + else: + print(f"copy files in {self.video_path}") + files = os.listdir(self.video_path) + files.sort() + files = [file for file in files if file.split(".")[-1]=="png"] + for filename in files: + shutil.copyfile(f"{self.video_path}/{filename}", f"{self.full_imgs_path}/{filename}") + input_img_list = sorted(glob.glob(os.path.join(self.full_imgs_path, '*.[jpJP][pnPN]*[gG]'))) + bbox_shift_text = get_bbox_range(input_img_list, self.bbox_shift) + print("extracting landmarks...") + coord_list, frame_list = get_landmark_and_bbox(input_img_list, self.bbox_shift) + input_latent_list = [] + idx = -1 + # maker if the bbox is not sufficient + coord_placeholder = (0.0,0.0,0.0,0.0) + for bbox, frame in zip(coord_list, frame_list): + idx = idx + 1 + if bbox == coord_placeholder: + continue + x1, y1, x2, y2 = bbox + crop_frame = frame[y1:y2, x1:x2] + resized_crop_frame = cv2.resize(crop_frame,(256,256),interpolation = cv2.INTER_LANCZOS4) + latents = self.vae.get_latents_for_unet(resized_crop_frame) + input_latent_list.append(latents) + + self.frame_list_cycle = frame_list + frame_list[::-1] + self.coord_list_cycle = coord_list + coord_list[::-1] + self.input_latent_list_cycle = input_latent_list + input_latent_list[::-1] + self.mask_coords_list_cycle = [] + self.mask_list_cycle = [] + + for i,frame in enumerate(tqdm(self.frame_list_cycle)): + cv2.imwrite(f"{self.full_imgs_path}/{str(i).zfill(8)}.png",frame) + + face_box = self.coord_list_cycle[i] + mask,crop_box = get_image_prepare_material(frame,face_box) + cv2.imwrite(f"{self.mask_out_path}/{str(i).zfill(8)}.png",mask) + self.mask_coords_list_cycle += [crop_box] + self.mask_list_cycle.append(mask) + + with open(self.mask_coords_path, 'wb') as f: + pickle.dump(self.mask_coords_list_cycle, f) + + with open(self.coords_path, 'wb') as f: + pickle.dump(self.coord_list_cycle, f) + + torch.save(self.input_latent_list_cycle, os.path.join(self.latents_out_path)) + return bbox_shift_text + + def inference_noprepare(self, audio_path, + source_video, bbox_shift, + batch_size = 4, + fps = 25, + progress = gr.Progress(track_tqdm=True)): + + out_vid_name = "res" + if not self.avatar_path: + video_path = source_video + self.avatar_id = os.path.basename(video_path).split(".")[0] + self.avatar_path = f"./results/avatars/{self.avatar_id}" + os.makedirs(self.avatar_path+'/tmp',exist_ok =True) + print("start inference") + ############################################## extract audio feature ############################################## + start_time = time.time() + whisper_feature = self.audio_processor.audio2feat(audio_path) + whisper_chunks = self.audio_processor.feature2chunks(feature_array=whisper_feature,fps=fps) + print(f"processing audio:{audio_path} costs {(time.time() - start_time) * 1000}ms") + ############################################## inference batch by batch ############################################## + video_num = len(whisper_chunks) + res_frame_queue = queue.Queue() + self.idx = 0 + # # Create a sub-thread and start it + process_thread = threading.Thread(target=self.process_frames, args=(res_frame_queue, video_num)) + process_thread.start() + + gen = datagen(whisper_chunks, + self.input_latent_list_cycle, + batch_size) + start_time = time.time() + res_frame_list = [] + + for i, (whisper_batch,latent_batch) in enumerate(tqdm(gen,total=int(np.ceil(float(video_num)/batch_size)))): + audio_feature_batch = torch.from_numpy(whisper_batch) + audio_feature_batch = audio_feature_batch.to(device=self.unet.device, + dtype=self.unet.model.dtype) + audio_feature_batch = self.pe(audio_feature_batch) + latent_batch = latent_batch.to(dtype=self.unet.model.dtype) + + pred_latents = self.unet.model(latent_batch, + self.timesteps, + encoder_hidden_states=audio_feature_batch).sample + recon = self.vae.decode_latents(pred_latents) + for res_frame in recon: + res_frame_queue.put(res_frame) + # Close the queue and sub-thread after all tasks are completed + process_thread.join() + + if self.skip_save_images is True: + print('Total process time of {} frames without saving images = {}s'.format( + video_num, + time.time()-start_time)) + else: + print('Total process time of {} frames including saving images = {}s'.format( + video_num, + time.time()-start_time)) + + if out_vid_name is not None and self.skip_save_images is False: + # optional + cmd_img2video = f"ffmpeg -y -v warning -r {fps} -f image2 -i {self.avatar_path}/tmp/%08d.png -vcodec libx264 -vf format=rgb24,scale=out_color_matrix=bt709,format=yuv420p -crf 18 {self.avatar_path}/temp.mp4" + print(cmd_img2video) + os.system(cmd_img2video) + + output_vid = os.path.join(self.video_out_path, out_vid_name+".mp4") # on + cmd_combine_audio = f"ffmpeg -y -v warning -i {audio_path} -i {self.avatar_path}/temp.mp4 {output_vid}" + print(cmd_combine_audio) + os.system(cmd_combine_audio) + + os.remove(f"{self.avatar_path}/temp.mp4") + shutil.rmtree(f"{self.avatar_path}/tmp") + print(f"result is save to {output_vid}") + print("\n") + return output_vid + def inference(self, audio_path, + source_video, bbox_shift, + batch_size = 4, + fps = 25, + progress = gr.Progress(track_tqdm=True)): + self.video_path = source_video + self.bbox_shift = bbox_shift + self.avatar_id = os.path.basename(source_video).split(".")[0] + self.avatar_path = f"./results/avatars/{self.avatar_id}" + self.full_imgs_path = f"{self.avatar_path}/full_imgs" + self.coords_path = f"{self.avatar_path}/coords.pkl" + self.latents_out_path= f"{self.avatar_path}/latents.pt" + self.video_out_path = f"{self.avatar_path}/vid_output/" + self.mask_out_path =f"{self.avatar_path}/mask" + self.mask_coords_path =f"{self.avatar_path}/mask_coords.pkl" + self.avatar_info_path = f"{self.avatar_path}/avator_info.json" + osmakedirs([self.avatar_path,self.full_imgs_path,self.video_out_path,self.mask_out_path]) + bbox_shift_text = None + if os.path.exists(self.avatar_path): + response = input(f"{self.avatar_id} exists, Do you want to re-create it ? (y/n)") + if response.lower() == "y": + shutil.rmtree(self.avatar_path) + print("*********************************") + print(f" creating avator: {self.avatar_id}") + print("*********************************") + osmakedirs([self.avatar_path,self.full_imgs_path,self.video_out_path,self.mask_out_path]) + bbox_shift_text = self.prepare_material_() + else: + self.input_latent_list_cycle = torch.load(self.latents_out_path) + with open(self.coords_path, 'rb') as f: + self.coord_list_cycle = pickle.load(f) + input_img_list = glob.glob(os.path.join(self.full_imgs_path, '*.[jpJP][pnPN]*[gG]')) + input_img_list = sorted(input_img_list, key=lambda x: int(os.path.splitext(os.path.basename(x))[0])) + self.frame_list_cycle = read_imgs(input_img_list) + with open(self.mask_coords_path, 'rb') as f: + self.mask_coords_list_cycle = pickle.load(f) + input_mask_list = glob.glob(os.path.join(self.mask_out_path, '*.[jpJP][pnPN]*[gG]')) + input_mask_list = sorted(input_mask_list, key=lambda x: int(os.path.splitext(os.path.basename(x))[0])) + self.mask_list_cycle = read_imgs(input_mask_list) + else: + print("*********************************") + print(f" creating avator: {self.avatar_id}") + print("*********************************") + osmakedirs([self.avatar_path,self.full_imgs_path,self.video_out_path,self.mask_out_path]) + bbox_shift_text = self.prepare_material_() + + if self.input_latent_list_cycle is None: + self.input_latent_list_cycle = torch.load(self.latents_out_path) + + if self.mask_list_cycle is None: + with open(self.coords_path, 'rb') as f: + self.coord_list_cycle = pickle.load(f) + + if self.frame_list_cycle is None: + input_img_list = glob.glob(os.path.join(self.full_imgs_path, '*.[jpJP][pnPN]*[gG]')) + input_img_list = sorted(input_img_list, key=lambda x: int(os.path.splitext(os.path.basename(x))[0])) + self.frame_list_cycle = read_imgs(input_img_list) + + if self.mask_coords_list_cycle is None: + with open(self.mask_coords_path, 'rb') as f: + self.mask_coords_list_cycle = pickle.load(f) + + if self.mask_list_cycle is None: + input_mask_list = glob.glob(os.path.join(self.mask_out_path, '*.[jpJP][pnPN]*[gG]')) + input_mask_list = sorted(input_mask_list, key=lambda x: int(os.path.splitext(os.path.basename(x))[0])) + self.mask_list_cycle = read_imgs(input_mask_list) + + with open(self.coords_path, 'rb') as f: + self.coord_list_cycle = pickle.load(f) + if bbox_shift_text is None: + bbox_shift_text = get_bbox_range(input_img_list, bbox_shift) + + out_vid_name = "res" + os.makedirs(self.avatar_path+'/tmp',exist_ok =True) + print("start inference") + ############################################## extract audio feature ############################################## + start_time = time.time() + whisper_feature = self.audio_processor.audio2feat(audio_path) + whisper_chunks = self.audio_processor.feature2chunks(feature_array=whisper_feature,fps=fps) + print(f"processing audio:{audio_path} costs {(time.time() - start_time) * 1000}ms") + ############################################## inference batch by batch ############################################## + video_num = len(whisper_chunks) + res_frame_queue = queue.Queue() + self.idx = 0 + # # Create a sub-thread and start it + process_thread = threading.Thread(target=self.process_frames, args=(res_frame_queue, video_num)) + process_thread.start() + + gen = datagen(whisper_chunks, + self.input_latent_list_cycle, + batch_size) + start_time = time.time() + res_frame_list = [] + + for i, (whisper_batch,latent_batch) in enumerate(tqdm(gen,total=int(np.ceil(float(video_num)/batch_size)))): + audio_feature_batch = torch.from_numpy(whisper_batch) + audio_feature_batch = audio_feature_batch.to(device=self.unet.device, + dtype=self.unet.model.dtype) + audio_feature_batch = self.pe(audio_feature_batch) + latent_batch = latent_batch.to(dtype=self.unet.model.dtype) + + pred_latents = self.unet.model(latent_batch, + self.timesteps, + encoder_hidden_states=audio_feature_batch).sample + recon = self.vae.decode_latents(pred_latents) + for res_frame in recon: + res_frame_queue.put(res_frame) + # Close the queue and sub-thread after all tasks are completed + process_thread.join() + + if self.skip_save_images is True: + print('Total process time of {} frames without saving images = {}s'.format( + video_num, + time.time()-start_time)) + else: + print('Total process time of {} frames including saving images = {}s'.format( + video_num, + time.time()-start_time)) + + if out_vid_name is not None and self.skip_save_images is False: + # optional + cmd_img2video = f"ffmpeg -y -v warning -r {fps} -f image2 -i {self.avatar_path}/tmp/%08d.png -vcodec libx264 -vf format=rgb24,scale=out_color_matrix=bt709,format=yuv420p -crf 18 {self.avatar_path}/temp.mp4" + print(cmd_img2video) + os.system(cmd_img2video) + + output_vid = os.path.join(self.video_out_path, out_vid_name+".mp4") # on + cmd_combine_audio = f"ffmpeg -y -v warning -i {audio_path} -i {self.avatar_path}/temp.mp4 {output_vid}" + print(cmd_combine_audio) + os.system(cmd_combine_audio) + + os.remove(f"{self.avatar_path}/temp.mp4") + shutil.rmtree(f"{self.avatar_path}/tmp") + print(f"result is save to {output_vid}") + print("\n") + return output_vid, bbox_shift_text + +class MuseTalk: + def __init__(self): + # load model weights + self.audio_processor, self.vae, self.unet, self.pe = load_all_model() + import platform + if torch.cuda.is_available(): + device = "cuda" + elif platform.system() == 'Darwin': # macos + device = "mps" + else: + device = "cpu" + self.timesteps = torch.tensor([0], device=device) + + + @torch.no_grad() + def inference(self, audio_path, video_path, bbox_shift): + args_dict={"result_dir":'./results/output', "fps":25, "batch_size":8, "output_vid_name":'', "use_saved_coord":False}#same with inferenece script + args = Namespace(**args_dict) + print(args) + input_basename = os.path.basename(video_path).split('.')[0] + audio_basename = os.path.basename(audio_path).split('.')[0] + output_basename = f"{input_basename}_{audio_basename}" + result_img_save_path = os.path.join(args.result_dir, output_basename) # related to video & audio inputs + crop_coord_save_path = os.path.join(result_img_save_path, input_basename+".pkl") # only related to video input + os.makedirs(result_img_save_path,exist_ok =True) + + if args.output_vid_name=="": + output_vid_name = os.path.join(args.result_dir, output_basename+".mp4") + else: + output_vid_name = os.path.join(args.result_dir, args.output_vid_name) + ############################################## extract frames from source video ############################################## + if get_file_type(video_path)=="video": + save_dir_full = os.path.join(args.result_dir, input_basename) + os.makedirs(save_dir_full,exist_ok = True) + # cmd = f"ffmpeg -v fatal -i {video_path} -start_number 0 {save_dir_full}/%08d.png" + # os.system(cmd) + # 读取视频 + reader = imageio.get_reader(video_path) + + # 保存图片 + for i, im in enumerate(reader): + imageio.imwrite(f"{save_dir_full}/{i:08d}.png", im) + input_img_list = sorted(glob.glob(os.path.join(save_dir_full, '*.[jpJP][pnPN]*[gG]'))) + fps = get_video_fps(video_path) + else: # input img folder + input_img_list = glob.glob(os.path.join(video_path, '*.[jpJP][pnPN]*[gG]')) + input_img_list = sorted(input_img_list, key=lambda x: int(os.path.splitext(os.path.basename(x))[0])) + fps = args.fps + #print(input_img_list) + ############################################## extract audio feature ############################################## + whisper_feature = self.audio_processor.audio2feat(audio_path) + whisper_chunks = self.audio_processor.feature2chunks(feature_array=whisper_feature,fps=fps) + ############################################## preprocess input image ############################################## + if os.path.exists(crop_coord_save_path) and args.use_saved_coord: + print("using extracted coordinates") + with open(crop_coord_save_path,'rb') as f: + coord_list = pickle.load(f) + frame_list = read_imgs(input_img_list) + else: + print("extracting landmarks...time consuming") + coord_list, frame_list = get_landmark_and_bbox(input_img_list, bbox_shift) + with open(crop_coord_save_path, 'wb') as f: + pickle.dump(coord_list, f) + bbox_shift_text=get_bbox_range(input_img_list, bbox_shift) + i = 0 + input_latent_list = [] + for bbox, frame in zip(coord_list, frame_list): + if bbox == coord_placeholder: + continue + x1, y1, x2, y2 = bbox + crop_frame = frame[y1:y2, x1:x2] + crop_frame = cv2.resize(crop_frame,(256,256),interpolation = cv2.INTER_LANCZOS4) + latents = self.vae.get_latents_for_unet(crop_frame) + input_latent_list.append(latents) + + # to smooth the first and the last frame + frame_list_cycle = frame_list + frame_list[::-1] + coord_list_cycle = coord_list + coord_list[::-1] + input_latent_list_cycle = input_latent_list + input_latent_list[::-1] + ############################################## inference batch by batch ############################################## + print("start inference") + video_num = len(whisper_chunks) + batch_size = args.batch_size + gen = datagen(whisper_chunks,input_latent_list_cycle,batch_size) + res_frame_list = [] + for i, (whisper_batch,latent_batch) in enumerate(tqdm(gen,total=int(np.ceil(float(video_num)/batch_size)))): + + tensor_list = [torch.FloatTensor(arr) for arr in whisper_batch] + audio_feature_batch = torch.stack(tensor_list).to(self.unet.device) # torch, B, 5*N,384 + audio_feature_batch = self.pe(audio_feature_batch) + + pred_latents = self.unet.model(latent_batch, self.timesteps, encoder_hidden_states=audio_feature_batch).sample + recon = self.vae.decode_latents(pred_latents) + for res_frame in recon: + res_frame_list.append(res_frame) + + ############################################## pad to full image ############################################## + print("pad talking image to original video") + for i, res_frame in enumerate(tqdm(res_frame_list)): + bbox = coord_list_cycle[i%(len(coord_list_cycle))] + ori_frame = copy.deepcopy(frame_list_cycle[i%(len(frame_list_cycle))]) + x1, y1, x2, y2 = bbox + try: + res_frame = cv2.resize(res_frame.astype(np.uint8),(x2-x1,y2-y1)) + except: + # print(bbox) + continue + + combine_frame = get_image(ori_frame,res_frame,bbox) + cv2.imwrite(f"{result_img_save_path}/{str(i).zfill(8)}.png",combine_frame) + + # cmd_img2video = f"ffmpeg -y -v fatal -r {fps} -f image2 -i {result_img_save_path}/%08d.png -vcodec libx264 -vf format=rgb24,scale=out_color_matrix=bt709,format=yuv420p temp.mp4" + # print(cmd_img2video) + # os.system(cmd_img2video) + # 帧率 + fps = 25 + # 图片路径 + # 输出视频路径 + output_video = 'temp.mp4' + + # 读取图片 + def is_valid_image(file): + pattern = re.compile(r'\d{8}\.png') + return pattern.match(file) + + images = [] + files = [file for file in os.listdir(result_img_save_path) if is_valid_image(file)] + files.sort(key=lambda x: int(x.split('.')[0])) + + for file in files: + filename = os.path.join(result_img_save_path, file) + images.append(imageio.imread(filename)) + + + # 保存视频 + imageio.mimwrite(output_video, images, 'FFMPEG', fps=fps, codec='libx264', pixelformat='yuv420p') + + # cmd_combine_audio = f"ffmpeg -y -v fatal -i {audio_path} -i temp.mp4 {output_vid_name}" + # print(cmd_combine_audio) + # os.system(cmd_combine_audio) + + input_video = './temp.mp4' + # Check if the input_video and audio_path exist + if not os.path.exists(input_video): + raise FileNotFoundError(f"Input video file not found: {input_video}") + if not os.path.exists(audio_path): + raise FileNotFoundError(f"Audio file not found: {audio_path}") + + # 读取视频 + reader = imageio.get_reader(input_video) + fps = reader.get_meta_data()['fps'] # 获取原视频的帧率 + + # 将帧存储在列表中 + frames = images + + # 保存视频并添加音频 + # imageio.mimwrite(output_vid_name, frames, 'FFMPEG', fps=fps, codec='libx264', audio_codec='aac', input_params=['-i', audio_path]) + + # input_video = ffmpeg.input(input_video) + + # input_audio = ffmpeg.input(audio_path) + + print(len(frames)) + + # imageio.mimwrite( + # output_video, + # frames, + # 'FFMPEG', + # fps=25, + # codec='libx264', + # audio_codec='aac', + # input_params=['-i', audio_path], + # output_params=['-y'], # Add the '-y' flag to overwrite the output file if it exists + # ) + # writer = imageio.get_writer(output_vid_name, fps = 25, codec='libx264', quality=10, pixelformat='yuvj444p') + # for im in frames: + # writer.append_data(im) + # writer.close() + + # Load the video + video_clip = VideoFileClip(input_video) + + # Load the audio + audio_clip = AudioFileClip(audio_path) + + # Set the audio to the video + video_clip = video_clip.set_audio(audio_clip) + + # Write the output video + video_clip.write_videofile(output_vid_name, codec='libx264', audio_codec='aac',fps=25) + + os.remove("temp.mp4") + #shutil.rmtree(result_img_save_path) + print(f"result is save to {output_vid_name}", bbox_shift_text) + return output_vid_name, bbox_shift_text + + def check_video(self, video): + if not isinstance(video, str): + return video # in case of none type + # Define the output video file name + dir_path, file_name = os.path.split(video) + if file_name.startswith("outputxxx_"): + return video + # Add the output prefix to the file name + output_file_name = "outputxxx_" + file_name + + os.makedirs('./results',exist_ok=True) + os.makedirs('./results/output',exist_ok=True) + os.makedirs('./results/input',exist_ok=True) + + # Combine the directory path and the new file name + output_video = os.path.join('./results/input', output_file_name) + + + # # Run the ffmpeg command to change the frame rate to 25fps + # command = f"ffmpeg -i {video} -r 25 -vcodec libx264 -vtag hvc1 -pix_fmt yuv420p crf 18 {output_video} -y" + + # read video + reader = imageio.get_reader(video) + fps = reader.get_meta_data()['fps'] # get fps from original video + + # conver fps to 25 + frames = [im for im in reader] + target_fps = 25 + + L = len(frames) + L_target = int(L / fps * target_fps) + original_t = [x / fps for x in range(1, L+1)] + t_idx = 0 + target_frames = [] + for target_t in tqdm(range(1, L_target+1)): + while target_t / target_fps > original_t[t_idx]: + t_idx += 1 # find the first t_idx so that target_t / target_fps <= original_t[t_idx] + if t_idx >= L: + break + target_frames.append(frames[t_idx]) + + # save video + imageio.mimwrite(output_video, target_frames, 'FFMPEG', fps=25, codec='libx264', quality=9, pixelformat='yuv420p') + return output_video + + +if __name__ == "__main__": + # musetalk = MuseTalk() + musetalk = MuseTalk_RealTime() + audio_path = "Musetalk/data/audio/sun.wav" + video_path = "Musetalk/data/video/yongen_musev.mp4" + bbox_shift = 5 + video_path, bbox_shift_text = musetalk.prepare_material(video_path, bbox_shift) + # print(video_path, bbox_shift_text) + print("Inference Params:", audio_path, video_path, bbox_shift) + res_video = musetalk.inference_noprepare(audio_path, video_path, bbox_shift) + + # output_video = musetalk.check_video(video_path) + # print("output_video:", output_video) + # res_video, bbox_shift_scale = musetalk.inference(audio_path, video_path, bbox_shift) + # print(bbox_shift_scale) + \ No newline at end of file diff --git a/TFG/MuseV.py b/TFG/MuseV.py new file mode 100644 index 0000000000000000000000000000000000000000..7be3cb82837ac57521620389f536f58e72752be3 --- /dev/null +++ b/TFG/MuseV.py @@ -0,0 +1,1021 @@ +import os +import warnings +warnings.filterwarnings("ignore") +# # 获取当前目录路径 +# current_dir = os.getcwd() + +# # 添加环境变量 +# os.environ['PYTHONPATH'] = os.getenv('PYTHONPATH', '') + f':{current_dir}/MuseV' +# os.environ['PYTHONPATH'] = os.getenv('PYTHONPATH', '') + f':{current_dir}/MuseV/MMCM' +# os.environ['PYTHONPATH'] = os.getenv('PYTHONPATH', '') + f':{current_dir}/MuseV/diffusers/src' +# os.environ['PYTHONPATH'] = os.getenv('PYTHONPATH', '') + f':{current_dir}/MuseV/controlnet_aux/src' + +import sys +ProjectDir = "MuseV" +CheckpointsDir = "MuseV/checkpoints" +print(ProjectDir, CheckpointsDir) +# sys.path.insert(0, "MuseV") +sys.path.insert(0, ProjectDir) +sys.path.insert(0, f"{ProjectDir}/MMCM") +sys.path.insert(0, f"{ProjectDir}/diffusers/src") +sys.path.insert(0, f"{ProjectDir}/controlnet_aux/src") +# sys.path.insert(0, f"{ProjectDir}/scripts/gradio") + +import argparse +import copy +import os +from pathlib import Path +import logging +from collections import OrderedDict +from pprint import pprint +import random +import gradio as gr +from argparse import Namespace + +import numpy as np +from omegaconf import OmegaConf, SCMode +import torch +from einops import rearrange, repeat +import cv2 +from PIL import Image +from diffusers.models.autoencoder_kl import AutoencoderKL + +from mmcm.utils.load_util import load_pyhon_obj +from mmcm.utils.seed_util import set_all_seed +from mmcm.utils.signature import get_signature_of_string +from mmcm.utils.task_util import fiss_tasks, generate_tasks as generate_tasks_from_table +from mmcm.vision.utils.data_type_util import is_video, is_image, read_image_as_5d +from mmcm.utils.str_util import clean_str_for_save +from mmcm.vision.data.video_dataset import DecordVideoDataset +from musev.auto_prompt.util import generate_prompts + + +from musev.models.facein_loader import load_facein_extractor_and_proj_by_name +from musev.models.referencenet_loader import load_referencenet_by_name +from musev.models.ip_adapter_loader import ( + load_ip_adapter_vision_clip_encoder_by_name, + load_vision_clip_encoder_by_name, + load_ip_adapter_image_proj_by_name, +) +from musev.models.ip_adapter_face_loader import ( + load_ip_adapter_face_extractor_and_proj_by_name, +) +from musev.pipelines.pipeline_controlnet_predictor import ( + DiffusersPipelinePredictor, +) +from musev.models.referencenet import ReferenceNet2D +from musev.models.unet_loader import load_unet_by_name +from musev.utils.util import save_videos_grid_with_opencv +from musev import logger + +use_v2v_predictor = False +if use_v2v_predictor: + from gradio_video2video import sd_predictor as video_sd_predictor + +logger.setLevel("INFO") + +file_dir = os.path.dirname(__file__) +PROJECT_DIR = os.path.join(os.path.dirname(__file__), "../..") +DATA_DIR = os.path.join(PROJECT_DIR, "data") +CACHE_PATH = "./t2v_input_image" + +args_dict = { + "add_static_video_prompt": False, + "context_batch_size": 1, + "context_frames": 12, + "context_overlap": 4, + "context_schedule": "uniform_v2", + "context_stride": 1, + "cross_attention_dim": 768, + "face_image_path": None, + "facein_model_cfg_path": "MuseV/configs/model/facein.py", + "facein_model_name": None, + "facein_scale": 1.0, + "fix_condition_images": False, + "fixed_ip_adapter_image": True, + "fixed_refer_face_image": True, + "fixed_refer_image": True, + "fps": 4, + "guidance_scale": 7.5, + "height": None, + "img_length_ratio": 1.0, + "img_weight": 0.001, + "interpolation_factor": 1, + "ip_adapter_face_model_cfg_path": "MuseV/configs/model/ip_adapter.py", + "ip_adapter_face_model_name": None, + "ip_adapter_face_scale": 1.0, + "ip_adapter_model_cfg_path": "MuseV/configs/model/ip_adapter.py", + "ip_adapter_model_name": "musev_referencenet", + "ip_adapter_scale": 1.0, + "ipadapter_image_path": None, + "lcm_model_cfg_path": "MuseV/configs/model/lcm_model.py", + "lcm_model_name": None, + "log_level": "INFO", + "motion_speed": 8.0, + "n_batch": 1, + "n_cols": 3, + "n_repeat": 1, + "n_vision_condition": 1, + "need_hist_match": False, + "need_img_based_video_noise": True, + "need_redraw": False, + "negative_prompt": "V2", + "negprompt_cfg_path": "MuseV/configs/model/negative_prompt.py", + "noise_type": "video_fusion", + "num_inference_steps": 30, + "output_dir": "./results/", + "overwrite": False, + "prompt_only_use_image_prompt": False, + "record_mid_video_latents": False, + "record_mid_video_noises": False, + "redraw_condition_image": False, + "redraw_condition_image_with_facein": True, + "redraw_condition_image_with_ip_adapter_face": True, + "redraw_condition_image_with_ipdapter": True, + "redraw_condition_image_with_referencenet": True, + "referencenet_image_path": None, + "referencenet_model_cfg_path": "MuseV/configs/model/referencenet.py", + "referencenet_model_name": "musev_referencenet", + "save_filetype": "mp4", + "save_images": False, + "sd_model_cfg_path": "MuseV/configs/model/T2I_all_model.py", + "sd_model_name": "majicmixRealv6Fp16", + "seed": None, + "strength": 0.8, + "target_datas": "boy_dance2", + "test_data_path": "MuseV/configs/infer/testcase_video_famous.yaml", + "time_size": 24, + "unet_model_cfg_path": "MuseV/configs/model/motion_model.py", + "unet_model_name": "musev_referencenet", + "use_condition_image": True, + "use_video_redraw": True, + "vae_model_path": "MuseV/checkpoints/vae/sd-vae-ft-mse", + "video_guidance_scale": 3.5, + "video_guidance_scale_end": None, + "video_guidance_scale_method": "linear", + "video_negative_prompt": "V2", + "video_num_inference_steps": 10, + "video_overlap": 1, + "vision_clip_extractor_class_name": "ImageClipVisionFeatureExtractor", + "vision_clip_model_path": "MuseV/checkpoints/IP-Adapter/models/image_encoder", + "w_ind_noise": 0.5, + "width": None, + "write_info": False, +} +args = Namespace(**args_dict) +print("args") +pprint(args) +print("\n") + +logger.setLevel(args.log_level) +overwrite = args.overwrite +cross_attention_dim = args.cross_attention_dim +time_size = args.time_size # 一次视频生成的帧数 +n_batch = args.n_batch # 按照time_size的尺寸 生成n_batch次，总帧数 = time_size * n_batch +fps = args.fps +# need_redraw = args.need_redraw # 视频重绘视频使用视频网络 +# use_video_redraw = args.use_video_redraw # 视频重绘视频使用视频网络 +fix_condition_images = args.fix_condition_images +use_condition_image = args.use_condition_image # 当 test_data 中有图像时，作为初始图像 +redraw_condition_image = args.redraw_condition_image # 用于视频生成的首帧是否使用重绘后的 +need_img_based_video_noise = ( + args.need_img_based_video_noise +) # 视频加噪过程中是否使用首帧 condition_images +img_weight = args.img_weight +height = args.height # 如果测试数据中没有单独指定宽高，则默认这里 +width = args.width # 如果测试数据中没有单独指定宽高，则默认这里 +img_length_ratio = args.img_length_ratio # 如果测试数据中没有单独指定图像宽高比resize比例，则默认这里 +n_cols = args.n_cols +noise_type = args.noise_type +strength = args.strength # 首帧重绘程度参数 +video_guidance_scale = args.video_guidance_scale # 视频 condition与 uncond的权重参数 +guidance_scale = args.guidance_scale # 时序条件帧 condition与uncond的权重参数 +video_num_inference_steps = args.video_num_inference_steps # 视频迭代次数 +num_inference_steps = args.num_inference_steps # 时序条件帧 重绘参数 +seed = args.seed +save_filetype = args.save_filetype +save_images = args.save_images +sd_model_cfg_path = args.sd_model_cfg_path +sd_model_name = ( + args.sd_model_name + if args.sd_model_name in ["all", "None"] + else args.sd_model_name.split(",") +) +unet_model_cfg_path = args.unet_model_cfg_path +unet_model_name = args.unet_model_name +test_data_path = args.test_data_path +target_datas = ( + args.target_datas if args.target_datas == "all" else args.target_datas.split(",") +) +device = "cuda" if torch.cuda.is_available() else "cpu" +torch_dtype = torch.float16 +negprompt_cfg_path = args.negprompt_cfg_path +video_negative_prompt = args.video_negative_prompt +negative_prompt = args.negative_prompt +motion_speed = args.motion_speed +need_hist_match = args.need_hist_match +video_guidance_scale_end = args.video_guidance_scale_end +video_guidance_scale_method = args.video_guidance_scale_method +add_static_video_prompt = args.add_static_video_prompt +n_vision_condition = args.n_vision_condition +lcm_model_cfg_path = args.lcm_model_cfg_path +lcm_model_name = args.lcm_model_name +referencenet_model_cfg_path = args.referencenet_model_cfg_path +referencenet_model_name = args.referencenet_model_name +ip_adapter_model_cfg_path = args.ip_adapter_model_cfg_path +ip_adapter_model_name = args.ip_adapter_model_name +vision_clip_model_path = args.vision_clip_model_path +vision_clip_extractor_class_name = args.vision_clip_extractor_class_name +facein_model_cfg_path = args.facein_model_cfg_path +facein_model_name = args.facein_model_name +ip_adapter_face_model_cfg_path = args.ip_adapter_face_model_cfg_path +ip_adapter_face_model_name = args.ip_adapter_face_model_name + +fixed_refer_image = args.fixed_refer_image +fixed_ip_adapter_image = args.fixed_ip_adapter_image +fixed_refer_face_image = args.fixed_refer_face_image +redraw_condition_image_with_referencenet = args.redraw_condition_image_with_referencenet +redraw_condition_image_with_ipdapter = args.redraw_condition_image_with_ipdapter +redraw_condition_image_with_facein = args.redraw_condition_image_with_facein +redraw_condition_image_with_ip_adapter_face = ( + args.redraw_condition_image_with_ip_adapter_face +) +w_ind_noise = args.w_ind_noise +ip_adapter_scale = args.ip_adapter_scale +facein_scale = args.facein_scale +ip_adapter_face_scale = args.ip_adapter_face_scale +face_image_path = args.face_image_path +ipadapter_image_path = args.ipadapter_image_path +referencenet_image_path = args.referencenet_image_path +vae_model_path = args.vae_model_path +prompt_only_use_image_prompt = args.prompt_only_use_image_prompt +# serial_denoise parameter start +record_mid_video_noises = args.record_mid_video_noises +record_mid_video_latents = args.record_mid_video_latents +video_overlap = args.video_overlap +# serial_denoise parameter end +# parallel_denoise parameter start +context_schedule = args.context_schedule +context_frames = args.context_frames +context_stride = args.context_stride +context_overlap = args.context_overlap +context_batch_size = args.context_batch_size +interpolation_factor = args.interpolation_factor +n_repeat = args.n_repeat + +# parallel_denoise parameter end + +b = 1 + +negative_embedding = [ + ["MuseV/checkpoints/embedding/badhandv4.pt", "badhandv4"], + [ + "MuseV/checkpoints/embedding/ng_deepnegative_v1_75t.pt", + "ng_deepnegative_v1_75t", + ], + [ + "MuseV/checkpoints/embedding/EasyNegativeV2.safetensors", + "EasyNegativeV2", + ], + [ + "MuseV/checkpoints/embedding/bad_prompt_version2-neg.pt", + "bad_prompt_version2-neg", + ], +] +prefix_prompt = "" +suffix_prompt = ", beautiful, masterpiece, best quality" +suffix_prompt = "" + + +# test_data_parameters +def load_yaml(path): + tasks = OmegaConf.to_container( + OmegaConf.load(path), structured_config_mode=SCMode.INSTANTIATE, resolve=True + ) + return tasks + + +# if test_data_path.endswith(".yaml"): +# test_datas_src = load_yaml(test_data_path) +# elif test_data_path.endswith(".csv"): +# test_datas_src = generate_tasks_from_table(test_data_path) +# else: +# raise ValueError("expect yaml or csv, but given {}".format(test_data_path)) + +# test_datas = [ +# test_data +# for test_data in test_datas_src +# if target_datas == "all" or test_data.get("name", None) in target_datas +# ] + +# test_datas = fiss_tasks(test_datas) +# test_datas = generate_prompts(test_datas) + +# n_test_datas = len(test_datas) +# if n_test_datas == 0: +# raise ValueError( +# "n_test_datas == 0, set target_datas=None or set atleast one of {}".format( +# " ".join(list(d.get("name", "None") for d in test_datas_src)) +# ) +# ) +# print("n_test_datas", n_test_datas) +# # pprint(test_datas) + + +def read_image(path): + name = os.path.basename(path).split(".")[0] + image = read_image_as_5d(path) + return image, name + + +def read_image_lst(path): + images_names = [read_image(x) for x in path] + images, names = zip(*images_names) + images = np.concatenate(images, axis=2) + name = "_".join(names) + return images, name + + +def read_image_and_name(path): + if isinstance(path, str): + path = [path] + images, name = read_image_lst(path) + return images, name + + +# sd model parameters + +if sd_model_name != "None": + # 使用 cfg_path 里的sd_model_path + sd_model_params_dict_src = load_pyhon_obj(sd_model_cfg_path, "MODEL_CFG") + sd_model_params_dict = { + k: v + for k, v in sd_model_params_dict_src.items() + if sd_model_name == "all" or k in sd_model_name + } +else: + # 使用命令行给的sd_model_path, 需要单独设置 sd_model_name 为None， + sd_model_name = os.path.basename(sd_model_cfg_path).split(".")[0] + sd_model_params_dict = {sd_model_name: {"sd": sd_model_cfg_path}} + sd_model_params_dict_src = sd_model_params_dict +if len(sd_model_params_dict) == 0: + raise ValueError( + "has not target model, please set one of {}".format( + " ".join(list(sd_model_params_dict_src.keys())) + ) + ) +print("running model, T2I SD") +pprint(sd_model_params_dict) + +# lcm +if lcm_model_name is not None: + lcm_model_params_dict_src = load_pyhon_obj(lcm_model_cfg_path, "MODEL_CFG") + print("lcm_model_params_dict_src") + lcm_lora_dct = lcm_model_params_dict_src[lcm_model_name] +else: + lcm_lora_dct = None +print("lcm: ", lcm_model_name, lcm_lora_dct) + + +# motion net parameters +if os.path.isdir(unet_model_cfg_path): + unet_model_path = unet_model_cfg_path +elif os.path.isfile(unet_model_cfg_path): + unet_model_params_dict_src = load_pyhon_obj(unet_model_cfg_path, "MODEL_CFG") + print("unet_model_params_dict_src", unet_model_params_dict_src.keys()) + unet_model_path = unet_model_params_dict_src[unet_model_name]["unet"] +else: + raise ValueError(f"expect dir or file, but given {unet_model_cfg_path}") +print("unet: ", unet_model_name, unet_model_path) + + +# referencenet +if referencenet_model_name is not None: + if os.path.isdir(referencenet_model_cfg_path): + referencenet_model_path = referencenet_model_cfg_path + elif os.path.isfile(referencenet_model_cfg_path): + referencenet_model_params_dict_src = load_pyhon_obj( + referencenet_model_cfg_path, "MODEL_CFG" + ) + print( + "referencenet_model_params_dict_src", + referencenet_model_params_dict_src.keys(), + ) + referencenet_model_path = referencenet_model_params_dict_src[ + referencenet_model_name + ]["net"] + else: + raise ValueError(f"expect dir or file, but given {referencenet_model_cfg_path}") +else: + referencenet_model_path = None +print("referencenet: ", referencenet_model_name, referencenet_model_path) + + +# ip_adapter +if ip_adapter_model_name is not None: + ip_adapter_model_params_dict_src = load_pyhon_obj( + ip_adapter_model_cfg_path, "MODEL_CFG" + ) + print("ip_adapter_model_params_dict_src", ip_adapter_model_params_dict_src.keys()) + ip_adapter_model_params_dict = ip_adapter_model_params_dict_src[ + ip_adapter_model_name + ] +else: + ip_adapter_model_params_dict = None +print("ip_adapter: ", ip_adapter_model_name, ip_adapter_model_params_dict) + + +# facein +if facein_model_name is not None: + facein_model_params_dict_src = load_pyhon_obj(facein_model_cfg_path, "MODEL_CFG") + print("facein_model_params_dict_src", facein_model_params_dict_src.keys()) + facein_model_params_dict = facein_model_params_dict_src[facein_model_name] +else: + facein_model_params_dict = None +print("facein: ", facein_model_name, facein_model_params_dict) + +# ip_adapter_face +if ip_adapter_face_model_name is not None: + ip_adapter_face_model_params_dict_src = load_pyhon_obj( + ip_adapter_face_model_cfg_path, "MODEL_CFG" + ) + print( + "ip_adapter_face_model_params_dict_src", + ip_adapter_face_model_params_dict_src.keys(), + ) + ip_adapter_face_model_params_dict = ip_adapter_face_model_params_dict_src[ + ip_adapter_face_model_name + ] +else: + ip_adapter_face_model_params_dict = None +print( + "ip_adapter_face: ", ip_adapter_face_model_name, ip_adapter_face_model_params_dict +) + + +# negative_prompt +def get_negative_prompt(negative_prompt, cfg_path=None, n: int = 10): + name = negative_prompt[:n] + if cfg_path is not None and cfg_path not in ["None", "none"]: + dct = load_pyhon_obj(cfg_path, "Negative_Prompt_CFG") + negative_prompt = dct[negative_prompt]["prompt"] + + return name, negative_prompt + + +negtive_prompt_length = 10 +video_negative_prompt_name, video_negative_prompt = get_negative_prompt( + video_negative_prompt, + cfg_path=negprompt_cfg_path, + n=negtive_prompt_length, +) +negative_prompt_name, negative_prompt = get_negative_prompt( + negative_prompt, + cfg_path=negprompt_cfg_path, + n=negtive_prompt_length, +) + +print("video_negprompt", video_negative_prompt_name, video_negative_prompt) +print("negprompt", negative_prompt_name, negative_prompt) + +output_dir = args.output_dir +os.makedirs(output_dir, exist_ok=True) + +if referencenet_model_name is not None and not use_v2v_predictor: + referencenet = load_referencenet_by_name( + model_name=referencenet_model_name, + # sd_model=sd_model_path, + # sd_model="MuseV/checkpoints//Moore-AnimateAnyone/AnimateAnyone/reference_unet.pth", + sd_referencenet_model=referencenet_model_path, + cross_attention_dim=cross_attention_dim, + ) +else: + referencenet = None + referencenet_model_name = "no" + +if vision_clip_extractor_class_name is not None and not use_v2v_predictor: + vision_clip_extractor = load_vision_clip_encoder_by_name( + ip_image_encoder=vision_clip_model_path, + vision_clip_extractor_class_name=vision_clip_extractor_class_name, + ) + logger.info( + f"vision_clip_extractor, name={vision_clip_extractor_class_name}, path={vision_clip_model_path}" + ) +else: + vision_clip_extractor = None + logger.info(f"vision_clip_extractor, None") + + +import cuid + + +def generate_cuid(): + return cuid.cuid() + + +class MuseV(): + def __init__(self): + self.prefix_prompt = '' + self.suffix_prompt = ', beautiful, masterpiece, best quality' + self.suffix_prompt = '' + global ip_adapter_model_name + if ip_adapter_model_name is not None and not use_v2v_predictor: + ip_adapter_image_proj = load_ip_adapter_image_proj_by_name( + model_name=ip_adapter_model_name, + ip_image_encoder=ip_adapter_model_params_dict.get( + "ip_image_encoder", vision_clip_model_path + ), + ip_ckpt=ip_adapter_model_params_dict["ip_ckpt"], + cross_attention_dim=cross_attention_dim, + clip_embeddings_dim=ip_adapter_model_params_dict["clip_embeddings_dim"], + clip_extra_context_tokens=ip_adapter_model_params_dict[ + "clip_extra_context_tokens" + ], + ip_scale=ip_adapter_model_params_dict["ip_scale"], + device=device, + ) + else: + ip_adapter_image_proj = None + ip_adapter_model_name = "no" + for model_name, sd_model_params in sd_model_params_dict.items(): + self.model_name = model_name + lora_dict = sd_model_params.get("lora", None) + model_sex = sd_model_params.get("sex", None) + model_style = sd_model_params.get("style", None) + sd_model_path = sd_model_params["sd"] + test_model_vae_model_path = sd_model_params.get("vae", vae_model_path) + + unet = ( + load_unet_by_name( + model_name=unet_model_name, + sd_unet_model=unet_model_path, + sd_model=sd_model_path, + # sd_model="MuseV/checkpoints//Moore-AnimateAnyone/AnimateAnyone/denoising_unet.pth", + cross_attention_dim=cross_attention_dim, + need_t2i_facein=facein_model_name is not None, + # facein 目前没参与训练，但在unet中定义了，载入相关参数会报错，所以用strict控制 + strict=not (facein_model_name is not None), + need_t2i_ip_adapter_face=ip_adapter_face_model_name is not None, + ) + if not use_v2v_predictor + else None + ) + + if facein_model_name is not None and not use_v2v_predictor: + ( + face_emb_extractor, + facein_image_proj, + ) = load_facein_extractor_and_proj_by_name( + model_name=facein_model_name, + ip_image_encoder=facein_model_params_dict["ip_image_encoder"], + ip_ckpt=facein_model_params_dict["ip_ckpt"], + cross_attention_dim=cross_attention_dim, + clip_embeddings_dim=facein_model_params_dict["clip_embeddings_dim"], + clip_extra_context_tokens=facein_model_params_dict[ + "clip_extra_context_tokens" + ], + ip_scale=facein_model_params_dict["ip_scale"], + device=device, + # facein目前没有参与unet中的训练，需要单独载入参数 + unet=unet, + ) + else: + face_emb_extractor = None + facein_image_proj = None + self.facein_image_proj = facein_image_proj + if ip_adapter_face_model_name is not None and not use_v2v_predictor: + ( + ip_adapter_face_emb_extractor, + ip_adapter_face_image_proj, + ) = load_ip_adapter_face_extractor_and_proj_by_name( + model_name=ip_adapter_face_model_name, + ip_image_encoder=ip_adapter_face_model_params_dict["ip_image_encoder"], + ip_ckpt=ip_adapter_face_model_params_dict["ip_ckpt"], + cross_attention_dim=cross_attention_dim, + clip_embeddings_dim=ip_adapter_face_model_params_dict[ + "clip_embeddings_dim" + ], + clip_extra_context_tokens=ip_adapter_face_model_params_dict[ + "clip_extra_context_tokens" + ], + ip_scale=ip_adapter_face_model_params_dict["ip_scale"], + device=device, + unet=unet, # ip_adapter_face 目前没有参与unet中的训练，需要单独载入参数 + ) + else: + ip_adapter_face_emb_extractor = None + ip_adapter_face_image_proj = None + self.ip_adapter_face_image_proj = ip_adapter_face_image_proj + print("test_model_vae_model_path", test_model_vae_model_path) + + self.sd_predictor = ( + DiffusersPipelinePredictor( + sd_model_path=sd_model_path, + unet=unet, + lora_dict=lora_dict, + lcm_lora_dct=lcm_lora_dct, + device=device, + dtype=torch_dtype, + negative_embedding=negative_embedding, + referencenet=referencenet, + ip_adapter_image_proj=ip_adapter_image_proj, + vision_clip_extractor=vision_clip_extractor, + facein_image_proj=facein_image_proj, + face_emb_extractor=face_emb_extractor, + vae_model=test_model_vae_model_path, + ip_adapter_face_emb_extractor=ip_adapter_face_emb_extractor, + ip_adapter_face_image_proj=ip_adapter_face_image_proj, + ) + if not use_v2v_predictor + else video_sd_predictor + ) + if use_v2v_predictor: + print( + "text2video use video_sd_predictor, sd_predictor type is ", + type(self.sd_predictor), + ) + logger.debug(f"load sd_predictor"), + + pass + + def t2v_inference(self, prompt, + image_ph, seed, + fps, w, h, video_len, + img_edge_ratio: float = 1.0, + progress=gr.Progress(track_tqdm=True)): + progress(0, desc="Starting...") + # Save the uploaded image to a specified path + if not os.path.exists(CACHE_PATH): + os.makedirs(CACHE_PATH) + image_cuid = generate_cuid() + + image_path = os.path.join(CACHE_PATH, f"{image_cuid}.jpg") + + image_np = cv2.imread(image_ph) + # image_np = Image.open(image_ph) + # image_np = np.array(image) + image = Image.fromarray(image_np) + image.save(image_path) + + time_size = int(video_len) + test_data = { + "name": image_cuid, + "prompt": prompt, + # 'video_path': None, + "condition_images": image_path, + "refer_image": image_path, + "ipadapter_image": image_path, + "height": h, + "width": w, + "img_length_ratio": img_edge_ratio, + # 'style': 'anime', + # 'sex': 'female' + } + batch = [] + texts = [] + print("\n test_data", test_data, self.model_name) + test_data_name = test_data.get("name", test_data) + prompt = test_data["prompt"] + prompt = self.prefix_prompt + prompt + self.suffix_prompt + prompt_hash = get_signature_of_string(prompt, length=5) + test_data["prompt_hash"] = prompt_hash + test_data_height = test_data.get("height", height) + test_data_width = test_data.get("width", width) + test_data_condition_images_path = test_data.get("condition_images", None) + test_data_condition_images_index = test_data.get("condition_images_index", None) + test_data_redraw_condition_image = test_data.get( + "redraw_condition_image", redraw_condition_image + ) + # read condition_image + if ( + test_data_condition_images_path is not None + and use_condition_image + and ( + isinstance(test_data_condition_images_path, list) + or ( + isinstance(test_data_condition_images_path, str) + and is_image(test_data_condition_images_path) + ) + ) + ): + ( + test_data_condition_images, + test_data_condition_images_name, + ) = read_image_and_name(test_data_condition_images_path) + condition_image_height = test_data_condition_images.shape[3] + condition_image_width = test_data_condition_images.shape[4] + logger.debug( + f"test_data_condition_images use {test_data_condition_images_path}" + ) + else: + test_data_condition_images = None + test_data_condition_images_name = "no" + condition_image_height = None + condition_image_width = None + logger.debug(f"test_data_condition_images is None") + + # 当没有指定生成视频的宽高时，使用输入条件的宽高，优先使用 condition_image，低优使用 video + if test_data_height in [None, -1]: + test_data_height = condition_image_height + + if test_data_width in [None, -1]: + test_data_width = condition_image_width + + test_data_img_length_ratio = float( + test_data.get("img_length_ratio", img_length_ratio) + ) + + # 为了和video2video保持对齐，使用64而不是8作为宽、高最小粒度 + # test_data_height = int(test_data_height * test_data_img_length_ratio // 8 * 8) + # test_data_width = int(test_data_width * test_data_img_length_ratio // 8 * 8) + test_data_height = int(test_data_height * test_data_img_length_ratio // 64 * 64) + test_data_width = int(test_data_width * test_data_img_length_ratio // 64 * 64) + pprint(test_data) + print(f"test_data_height={test_data_height}") + print(f"test_data_width={test_data_width}") + # continue + test_data_style = test_data.get("style", None) + test_data_sex = test_data.get("sex", None) + # 如果使用|进行多参数任务设置时对应的字段是字符串类型，需要显式转换浮点数。 + test_data_motion_speed = float(test_data.get("motion_speed", motion_speed)) + test_data_w_ind_noise = float(test_data.get("w_ind_noise", w_ind_noise)) + test_data_img_weight = float(test_data.get("img_weight", img_weight)) + logger.debug(f"test_data_condition_images_path {test_data_condition_images_path}") + logger.debug(f"test_data_condition_images_index {test_data_condition_images_index}") + test_data_refer_image_path = test_data.get("refer_image", referencenet_image_path) + test_data_ipadapter_image_path = test_data.get( + "ipadapter_image", ipadapter_image_path + ) + test_data_refer_face_image_path = test_data.get("face_image", face_image_path) + + if negprompt_cfg_path is not None: + if "video_negative_prompt" in test_data: + ( + test_data_video_negative_prompt_name, + test_data_video_negative_prompt, + ) = get_negative_prompt( + test_data.get( + "video_negative_prompt", + ), + cfg_path=negprompt_cfg_path, + n=negtive_prompt_length, + ) + else: + test_data_video_negative_prompt_name = video_negative_prompt_name + test_data_video_negative_prompt = video_negative_prompt + if "negative_prompt" in test_data: + ( + test_data_negative_prompt_name, + test_data_negative_prompt, + ) = get_negative_prompt( + test_data.get( + "negative_prompt", + ), + cfg_path=negprompt_cfg_path, + n=negtive_prompt_length, + ) + else: + test_data_negative_prompt_name = negative_prompt_name + test_data_negative_prompt = negative_prompt + else: + test_data_video_negative_prompt = test_data.get( + "video_negative_prompt", video_negative_prompt + ) + test_data_video_negative_prompt_name = test_data_video_negative_prompt[ + :negtive_prompt_length + ] + test_data_negative_prompt = test_data.get("negative_prompt", negative_prompt) + test_data_negative_prompt_name = test_data_negative_prompt[ + :negtive_prompt_length + ] + + # 准备 test_data_refer_image + if referencenet is not None: + if test_data_refer_image_path is None: + test_data_refer_image = test_data_condition_images + test_data_refer_image_name = test_data_condition_images_name + logger.debug(f"test_data_refer_image use test_data_condition_images") + else: + test_data_refer_image, test_data_refer_image_name = read_image_and_name( + test_data_refer_image_path + ) + logger.debug(f"test_data_refer_image use {test_data_refer_image_path}") + else: + test_data_refer_image = None + test_data_refer_image_name = "no" + logger.debug(f"test_data_refer_image is None") + + # 准备 test_data_ipadapter_image + if vision_clip_extractor is not None: + if test_data_ipadapter_image_path is None: + test_data_ipadapter_image = test_data_condition_images + test_data_ipadapter_image_name = test_data_condition_images_name + + logger.debug(f"test_data_ipadapter_image use test_data_condition_images") + else: + ( + test_data_ipadapter_image, + test_data_ipadapter_image_name, + ) = read_image_and_name(test_data_ipadapter_image_path) + logger.debug( + f"test_data_ipadapter_image use f{test_data_ipadapter_image_path}" + ) + else: + test_data_ipadapter_image = None + test_data_ipadapter_image_name = "no" + logger.debug(f"test_data_ipadapter_image is None") + + # 准备 test_data_refer_face_image + if self.facein_image_proj is not None or self.ip_adapter_face_image_proj is not None: + if test_data_refer_face_image_path is None: + test_data_refer_face_image = test_data_condition_images + test_data_refer_face_image_name = test_data_condition_images_name + + logger.debug(f"test_data_refer_face_image use test_data_condition_images") + else: + ( + test_data_refer_face_image, + test_data_refer_face_image_name, + ) = read_image_and_name(test_data_refer_face_image_path) + logger.debug( + f"test_data_refer_face_image use f{test_data_refer_face_image_path}" + ) + else: + test_data_refer_face_image = None + test_data_refer_face_image_name = "no" + logger.debug(f"test_data_refer_face_image is None") + + # # 当模型的sex、style与test_data同时存在且不相等时，就跳过这个测试用例 + # if ( + # model_sex is not None + # and test_data_sex is not None + # and model_sex != test_data_sex + # ) or ( + # model_style is not None + # and test_data_style is not None + # and model_style != test_data_style + # ): + # print("model doesnt match test_data") + # print("model name: ", model_name) + # print("test_data: ", test_data) + # continue + if add_static_video_prompt: + test_data_video_negative_prompt = "static video, {}".format( + test_data_video_negative_prompt + ) + for i_num in range(n_repeat): + test_data_seed = random.randint(0, 1e8) if seed in [None, -1] else seed + cpu_generator, gpu_generator = set_all_seed(int(test_data_seed)) + save_file_name = ( + f"m={self.model_name}_rm={referencenet_model_name}_case={test_data_name}" + f"_w={test_data_width}_h={test_data_height}_t={time_size}_nb={n_batch}" + f"_s={test_data_seed}_p={prompt_hash}" + f"_w={test_data_img_weight}" + f"_ms={test_data_motion_speed}" + f"_s={strength}_g={video_guidance_scale}" + f"_c-i={test_data_condition_images_name[:5]}_r-c={test_data_redraw_condition_image}" + f"_w={test_data_w_ind_noise}_{test_data_video_negative_prompt_name}" + f"_r={test_data_refer_image_name[:3]}_ip={test_data_refer_image_name[:3]}_f={test_data_refer_face_image_name[:3]}" + ) + + save_file_name = clean_str_for_save(save_file_name) + output_path = os.path.join( + output_dir, + f"{save_file_name}.{save_filetype}", + ) + if os.path.exists(output_path) and not overwrite: + print("existed", output_path) + continue + + print("output_path", output_path) + out_videos = self.sd_predictor.run_pipe_text2video( + video_length=time_size, + prompt=prompt, + width=test_data_width, + height=test_data_height, + generator=gpu_generator, + noise_type=noise_type, + negative_prompt=test_data_negative_prompt, + video_negative_prompt=test_data_video_negative_prompt, + max_batch_num=n_batch, + strength=strength, + need_img_based_video_noise=need_img_based_video_noise, + video_num_inference_steps=video_num_inference_steps, + condition_images=test_data_condition_images, + fix_condition_images=fix_condition_images, + video_guidance_scale=video_guidance_scale, + guidance_scale=guidance_scale, + num_inference_steps=num_inference_steps, + redraw_condition_image=test_data_redraw_condition_image, + img_weight=test_data_img_weight, + w_ind_noise=test_data_w_ind_noise, + n_vision_condition=n_vision_condition, + motion_speed=test_data_motion_speed, + need_hist_match=need_hist_match, + video_guidance_scale_end=video_guidance_scale_end, + video_guidance_scale_method=video_guidance_scale_method, + vision_condition_latent_index=test_data_condition_images_index, + refer_image=test_data_refer_image, + fixed_refer_image=fixed_refer_image, + redraw_condition_image_with_referencenet=redraw_condition_image_with_referencenet, + ip_adapter_image=test_data_ipadapter_image, + refer_face_image=test_data_refer_face_image, + fixed_refer_face_image=fixed_refer_face_image, + facein_scale=facein_scale, + redraw_condition_image_with_facein=redraw_condition_image_with_facein, + ip_adapter_face_scale=ip_adapter_face_scale, + redraw_condition_image_with_ip_adapter_face=redraw_condition_image_with_ip_adapter_face, + fixed_ip_adapter_image=fixed_ip_adapter_image, + ip_adapter_scale=ip_adapter_scale, + redraw_condition_image_with_ipdapter=redraw_condition_image_with_ipdapter, + prompt_only_use_image_prompt=prompt_only_use_image_prompt, + # need_redraw=need_redraw, + # use_video_redraw=use_video_redraw, + # serial_denoise parameter start + record_mid_video_noises=record_mid_video_noises, + record_mid_video_latents=record_mid_video_latents, + video_overlap=video_overlap, + # serial_denoise parameter end + # parallel_denoise parameter start + context_schedule=context_schedule, + context_frames=context_frames, + context_stride=context_stride, + context_overlap=context_overlap, + context_batch_size=context_batch_size, + interpolation_factor=interpolation_factor, + # parallel_denoise parameter end + ) + out = np.concatenate([out_videos], axis=0) + + texts = ["out"] + save_videos_grid_with_opencv( + out, + output_path, + texts=texts, + fps=fps, + tensor_order="b c t h w", + n_cols=n_cols, + write_info=args.write_info, + save_filetype=save_filetype, + save_images=save_images, + ) + print("Save to", output_path) + def convert_video_to_rgb(input_path, output_path): + # 打开视频文件 + video_capture = cv2.VideoCapture(input_path) + + # 获取视频的基本信息 + fps = video_capture.get(cv2.CAP_PROP_FPS) + frame_width = int(video_capture.get(cv2.CAP_PROP_FRAME_WIDTH)) + frame_height = int(video_capture.get(cv2.CAP_PROP_FRAME_HEIGHT)) + total_frames = int(video_capture.get(cv2.CAP_PROP_FRAME_COUNT)) + + # 创建输出视频编写器 + fourcc = cv2.VideoWriter_fourcc(*'XVID') + output_video = cv2.VideoWriter(output_path, fourcc, fps, (frame_width, frame_height)) + + # 逐帧读取并转换为RGB + while True: + ret, frame = video_capture.read() + + if not ret: + break + + # 将帧从BGR格式转换为RGB格式 + rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) + + # 将RGB帧写入输出视频文件 + output_video.write(rgb_frame) + + # 释放资源 + video_capture.release() + output_video.release() + + print("视频转换完成。") + res_path = 'results/result.mp4' + convert_video_to_rgb(output_path, res_path) + print("\n" * 2) + return res_path + + +if __name__ == '__main__': + prompt = "(masterpiece, best quality, highres:1),(1boy, solo:1),(eye blinks:1.8),(head wave:1.3)" + image_ph = "MuseV/data/images/yongen.jpeg" + image_np = cv2.imread(image_ph) + seed = -1 + fps = 6 + w = -1 + h = -1 + video_len = 12 + img_edge_ratio = 1.0 + musev = MuseV() + musev.t2v_inference(prompt, image_ph, seed, fps, w, h ,video_len, img_edge_ratio) + # online_t2v_inference( + # prompt, + # image_np, + # seed, + # fps, + # w, + # h, + # video_len, + # img_edge_ratio) \ No newline at end of file diff --git a/TFG/NeRFTalk.py b/TFG/NeRFTalk.py new file mode 100644 index 0000000000000000000000000000000000000000..56017668f110eb2a5b093f67b1ca40c46d6430fb --- /dev/null +++ b/TFG/NeRFTalk.py @@ -0,0 +1,136 @@ +import os +import sys +sys.path.append('./NeRF') +import torch + +from nerf_triplane.provider import NeRFDataset_Test +from nerf_triplane.utils import * +from nerf_triplane.network import NeRFNetwork + +# Disable tf32 features to fix low numerical accuracy on RTX30XX GPUs +try: + torch.backends.cuda.matmul.allow_tf32 = False + torch.backends.cudnn.allow_tf32 = False +except AttributeError as e: + print('Info. This PyTorch version does not support tf32.') + +# Define options directly instead of using argparse +class Options: + def __init__(self): + self.test_train = False + self.data_range = [0, -1] + self.workspace = 'results' + self.seed = 0 + self.iters = 200000 + self.lr = 1e-2 + self.lr_net = 1e-3 + self.ckpt = '../checkpoints/pretrained/ngp_kf.pth' + self.num_rays = 4096 * 16 + self.cuda_ray = True + self.max_steps = 16 + self.num_steps = 16 + self.upsample_steps = 0 + self.update_extra_interval = 16 + self.max_ray_batch = 4096 + self.warmup_step = 10000 + self.amb_aud_loss = 1 + self.amb_eye_loss = 1 + self.unc_loss = 1 + self.lambda_amb = 1e-4 + self.fp16 = True + self.bg_img = 'white' + self.fbg = False + self.exp_eye = True + self.fix_eye = -1 + self.smooth_eye = True + self.torso_shrink = 0.8 + self.color_space = 'srgb' + self.preload = 0 + self.bound = 1 + self.scale = 4 + self.offset = [0, 0, 0] + self.dt_gamma = 1/256 + self.min_near = 0.05 + self.density_thresh = 10 + self.density_thresh_torso = 0.01 + self.patch_size = 1 + self.init_lips = False + self.finetune_lips = False + self.smooth_lips = True + self.torso = True + self.head_ckpt = '' + self.gui = False + self.W = 450 + self.H = 450 + self.radius = 3.35 + self.fovy = 21.24 + self.max_spp = 1 + self.att = 2 + self.aud = '' + self.emb = False + self.ind_dim = 4 + self.ind_num = 10000 + self.ind_dim_torso = 8 + self.amb_dim = 2 + self.part = False + self.part2 = False + self.train_camera = False + self.smooth_path = True + self.smooth_path_window = 7 + self.asr = False + self.asr_model = 'ave' + self.pose = '../checkpoints/data_kf.json' + self.asr_save_feats = False + self.fps = 50 + self.l = 10 + self.m = 50 + self.r = 10 + self.O = True + self.test = True + +# Initialize options +opt = Options() + +if opt.O: + opt.fp16 = True + opt.exp_eye = True + +if opt.test: + opt.smooth_path = True + opt.smooth_eye = True + opt.smooth_lips = True + +opt.cuda_ray = True +opt.torso = True + +class NeRFTalk(): + def __init__(self): + print(vars(opt)) + self.device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') + self.model = NeRFNetwork(opt) + + def init_model(self, ckpt_path, pose): + criterion = torch.nn.MSELoss(reduction='none') + opt.pose = pose + metrics = [] + opt.ckpt = ckpt_path + self.trainer = Trainer('ngp', opt, self.model, device=self.device, workspace=opt.workspace, criterion=criterion, fp16=opt.fp16, metrics=metrics, use_checkpoint=opt.ckpt) + + def predict(self, asr_wav): + opt.aud = asr_wav + + self.test_loader = NeRFDataset_Test(opt, device=self.device).dataloader() + self.model.aud_features = self.test_loader._data.auds + self.model.eye_areas = self.test_loader._data.eye_area + + self.trainer.test(self.test_loader, + save_path = opt.workspace, + name = 'test') + return os.path.join(opt.workspace, f"test_audio.mp4") + +if __name__ == '__main__': + nerf = NeRFTalk() + nerf.init_model('./checkpoints/Obama_ave.pth', './checkpoints/Obama.json') + print('init done') + wav_path = './checkpoints/ref.wav' + nerf.predict(wav_path) diff --git a/TFG/README.md b/TFG/README.md new file mode 100644 index 0000000000000000000000000000000000000000..02e030806a6fd47dab3dd4ea7d228c8594c3120d --- /dev/null +++ b/TFG/README.md @@ -0,0 +1,71 @@ +# THG 构建智能数字人 + +### SadTalker + +数字人生成可使用SadTalker（CVPR 2023）,详情介绍见 [https://sadtalker.github.io](https://sadtalker.github.io) + +在使用前先下载SadTalker模型: + +```bash +bash scripts/sadtalker_download_models.sh +``` + +[Baidu (百度云盘)](https://pan.baidu.com/s/1eF13O-8wyw4B3MtesctQyg?pwd=linl) (Password: `linl`) + +> 如果百度网盘下载，记住是放在checkpoints文件夹下，百度网盘下载的默认命名为sadtalker，实际应该重命名为checkpoints + + + +### Wav2Lip + +数字人生成还可使用Wav2Lip（ACM 2020），详情介绍见 [https://github.com/Rudrabha/Wav2Lip](https://github.com/Rudrabha/Wav2Lip) + +在使用前先下载Wav2Lip模型： + +| Model | Description | Link to the model | +| ---------------------------- | ----------------------------------------------------- | ------------------------------------------------------------ | +| Wav2Lip | Highly accurate lip-sync | [Link](https://iiitaphyd-my.sharepoint.com/:u:/g/personal/radrabha_m_research_iiit_ac_in/Eb3LEzbfuKlJiR600lQWRxgBIY27JZg80f7V9jtMfbNDaQ?e=TBFBVW) | +| Wav2Lip + GAN | Slightly inferior lip-sync, but better visual quality | [Link](https://iiitaphyd-my.sharepoint.com/:u:/g/personal/radrabha_m_research_iiit_ac_in/EdjI7bZlgApMqsVoEUUXpLsBxqXbn5z8VTmoxp55YNDcIA?e=n9ljGW) | +| Expert Discriminator | Weights of the expert discriminator | [Link](https://iiitaphyd-my.sharepoint.com/:u:/g/personal/radrabha_m_research_iiit_ac_in/EQRvmiZg-HRAjvI6zqN9eTEBP74KefynCwPWVmF57l-AYA?e=ZRPHKP) | +| Visual Quality Discriminator | Weights of the visual disc trained in a GAN setup | [Link](https://iiitaphyd-my.sharepoint.com/:u:/g/personal/radrabha_m_research_iiit_ac_in/EQVqH88dTm1HjlK11eNba5gBbn15WMS0B0EZbDBttqrqkg?e=ic0ljo) | + +```python +class Wav2Lip: + def __init__(self, path = 'checkpoints/wav2lip.pth'): + self.fps = 25 + self.resize_factor = 1 + self.mel_step_size = 16 + self.static = False + self.img_size = 96 + self.face_det_batch_size = 2 + self.box = [-1, -1, -1, -1] + self.pads = [0, 10, 0, 0] + self.nosmooth = False + self.device = 'cuda' if torch.cuda.is_available() else 'cpu' + self.model = self.load_model(path) + + def load_model(self, checkpoint_path): + model = wav2lip_mdoel() + print("Load checkpoint from: {}".format(checkpoint_path)) + if self.device == 'cuda': + checkpoint = torch.load(checkpoint_path) + else: + checkpoint = torch.load(checkpoint_path, + map_location=lambda storage, loc: storage) + s = checkpoint["state_dict"] + new_s = {} + for k, v in s.items(): + new_s[k.replace('module.', '')] = v + model.load_state_dict(new_s) + + model = model.to(self.device) + return model.eval() +``` + + + +### ER-NeRF（Comming Soon） + +ER-NeRF（ICCV2023）是使用最新的NeRF技术构建的数字人，拥有定制数字人的特性，只需要一个人的五分钟左右到视频即可重建出来，具体可参考 [https://github.com/Fictionarry/ER-NeRF](https://github.com/Fictionarry/ER-NeRF) + +后续会针对此更新 diff --git a/TFG/SadTalker.py b/TFG/SadTalker.py new file mode 100644 index 0000000000000000000000000000000000000000..6670c38b939444f2d6bf89cd480c9b7c6329ba23 --- /dev/null +++ b/TFG/SadTalker.py @@ -0,0 +1,306 @@ +import sys +sys.path.append('./') + +import torch, uuid +import os, sys, shutil, platform +# from src.facerender.pirender_animate import AnimateFromCoeff_PIRender +from src.utils.preprocess import CropAndExtract +from src.test_audio2coeff import Audio2Coeff +from src.facerender.animate import AnimateFromCoeff +from src.generate_batch import get_data +from src.generate_facerender_batch import get_facerender_data +from src.utils.init_path import init_path + +# from pydub import AudioSegment +# def mp3_to_wav(mp3_filename,wav_filename,frame_rate): +# mp3_file = AudioSegment.from_file(file=mp3_filename) +# mp3_file.set_frame_rate(frame_rate).export(wav_filename,format="wav") + +class SadTalker(): + + def __init__(self, checkpoint_path='checkpoints', config_path='src/config', lazy_load=False): + import platform + if torch.cuda.is_available(): + device = "cuda" + elif platform.system() == 'Darwin': # macos + device = "mps" + else: + device = "cpu" + + self.device = device + + os.environ['TORCH_HOME']= checkpoint_path + + self.checkpoint_path = checkpoint_path + self.config_path = config_path + self.sadtalker_paths = init_path(checkpoint_path, self.config_path, 256, False, 'crop') + self.animate_from_coeff = AnimateFromCoeff(self.sadtalker_paths, self.device) + self.audio_to_coeff = Audio2Coeff(self.sadtalker_paths, self.device) + + def test(self, + pic_path, + crop_pic_path, + first_coeff_path, + crop_info, + source_image, driven_audio, preprocess='crop', + still_mode=False, use_enhancer=False, batch_size=1, size=256, + pose_style = 0, + facerender='facevid2vid', + exp_scale=1.0, + use_ref_video = False, + ref_video = None, + ref_info = None, + use_idle_mode = False, + length_of_audio = 0, use_blink=True, fps=20, + result_dir='./results/'): + + + # print(self.sadtalker_paths) + + + # self.preprocess_model = CropAndExtract(self.sadtalker_paths, self.device) + + # if facerender == 'facevid2vid' and self.device != 'mps': + # self.animate_from_coeff = AnimateFromCoeff(self.sadtalker_paths, self.device) + # elif facerender == 'pirender' or self.device == 'mps': + # self.animate_from_coeff = AnimateFromCoeff_PIRender(self.sadtalker_paths, self.device) + # facerender = 'pirender' + # else: + # raise(RuntimeError('Unknown model: {}'.format(facerender))) + + + # time_tag = str(uuid.uuid4()) + # save_dir = os.path.join(result_dir, time_tag) + # os.makedirs(save_dir, exist_ok=True) + save_dir = result_dir + os.makedirs(save_dir, exist_ok=True) + # input_dir = os.path.join(save_dir, 'input') + # os.makedirs(input_dir, exist_ok=True) + + # print(source_image) + # pic_path = os.path.join(input_dir, os.path.basename(source_image)) + # shutil.copy(source_image, input_dir) + + # if driven_audio is not None and os.path.isfile(driven_audio): + # audio_path = os.path.join(input_dir, os.path.basename(driven_audio)) + + # #### mp3 to wav + # if '.mp3' in audio_path: + # mp3_to_wav(driven_audio, audio_path.replace('.mp3', '.wav'), 16000) + # audio_path = audio_path.replace('.mp3', '.wav') + # else: + # shutil.move(driven_audio, input_dir) + + # elif use_idle_mode: + # audio_path = os.path.join(input_dir, 'idlemode_'+str(length_of_audio)+'.wav') ## generate audio from this new audio_path + # from pydub import AudioSegment + # one_sec_segment = AudioSegment.silent(duration=1000*length_of_audio) #duration in milliseconds + # one_sec_segment.export(audio_path, format="wav") + # else: + # print(use_ref_video, ref_info) + # assert use_ref_video == True and ref_info == 'all' + + # if use_ref_video and ref_info == 'all': # full ref mode + # ref_video_videoname = os.path.basename(ref_video) + # audio_path = os.path.join(save_dir, ref_video_videoname+'.wav') + # print('new audiopath:',audio_path) + # # if ref_video contains audio, set the audio from ref_video. + # cmd = r"ffmpeg -y -hide_banner -loglevel error -i %s %s"%(ref_video, audio_path) + # os.system(cmd) + + # os.makedirs(save_dir, exist_ok=True) + + #crop image and extract 3dmm from image + # first_frame_dir = os.path.join(save_dir, 'first_frame_dir') + # os.makedirs(first_frame_dir, exist_ok=True) + # first_coeff_path, crop_pic_path, crop_info = self.preprocess_model.generate(pic_path, first_frame_dir, preprocess, True, size) + + # if first_coeff_path is None: + # raise AttributeError("No face is detected") + + # if use_ref_video: + # print('using ref video for genreation') + # ref_video_videoname = os.path.splitext(os.path.split(ref_video)[-1])[0] + # ref_video_frame_dir = os.path.join(save_dir, ref_video_videoname) + # os.makedirs(ref_video_frame_dir, exist_ok=True) + # print('3DMM Extraction for the reference video providing pose') + # ref_video_coeff_path, _, _ = self.preprocess_model.generate(ref_video, ref_video_frame_dir, preprocess, source_image_flag=False) + # else: + # ref_video_coeff_path = None + + # if use_ref_video: + # if ref_info == 'pose': + # ref_pose_coeff_path = ref_video_coeff_path + # ref_eyeblink_coeff_path = None + # elif ref_info == 'blink': + # ref_pose_coeff_path = None + # ref_eyeblink_coeff_path = ref_video_coeff_path + # elif ref_info == 'pose+blink': + # ref_pose_coeff_path = ref_video_coeff_path + # ref_eyeblink_coeff_path = ref_video_coeff_path + # elif ref_info == 'all': + # ref_pose_coeff_path = None + # ref_eyeblink_coeff_path = None + # else: + # raise('error in refinfo') + # else: + # ref_pose_coeff_path = None + # ref_eyeblink_coeff_path = None + + ref_pose_coeff_path = None + ref_eyeblink_coeff_path = None + audio_path = driven_audio + # fps = 25 + #audio2ceoff + # if use_ref_video and ref_info == 'all': + # coeff_path = ref_video_coeff_path # self.audio_to_coeff.generate(batch, save_dir, pose_style, ref_pose_coeff_path) + # else: + batch = get_data(first_coeff_path, audio_path, self.device, ref_eyeblink_coeff_path=ref_eyeblink_coeff_path, still=still_mode, \ + idlemode=use_idle_mode, length_of_audio=length_of_audio, use_blink=use_blink, fps = fps) # longer audio? + coeff = self.audio_to_coeff.generate(batch, save_dir, pose_style, ref_pose_coeff_path) + + #coeff2video + data = get_facerender_data(coeff, crop_pic_path, first_coeff_path, audio_path, batch_size, still_mode=still_mode, \ + preprocess=preprocess, size=size, expression_scale = exp_scale, facemodel=facerender) + return_path = self.animate_from_coeff.generate(data, save_dir, pic_path, crop_info, enhancer='gfpgan' if use_enhancer else None, preprocess=preprocess, img_size=size, fps = fps) + # video_name = data['video_name'] + # print(f'The generated video is named {video_name} in {save_dir}') + + # del self.preprocess_model + # del self.audio_to_coeff + # del self.animate_from_coeff + + if torch.cuda.is_available(): + torch.cuda.empty_cache() + torch.cuda.synchronize() + + import gc; gc.collect() + + return return_path + + def test2(self, source_image, driven_audio, preprocess='crop', + still_mode=False, use_enhancer=False, batch_size=1, size=256, + pose_style = 0, + facerender='facevid2vid', + exp_scale=1.0, + use_ref_video = False, + ref_video = None, + ref_info = None, + use_idle_mode = False, + length_of_audio = 0, use_blink=True, fps = 20, + result_dir='./results/'): + os.makedirs(result_dir, exist_ok=True) + self.sadtalker_paths = init_path(self.checkpoint_path, self.config_path, size, False, preprocess) + print(self.sadtalker_paths) + + self.audio_to_coeff = Audio2Coeff(self.sadtalker_paths, self.device) + self.preprocess_model = CropAndExtract(self.sadtalker_paths, self.device) + + self.animate_from_coeff = AnimateFromCoeff(self.sadtalker_paths, self.device) + + time_tag = str(uuid.uuid4()) + save_dir = os.path.join(result_dir, time_tag) + os.makedirs(save_dir, exist_ok=True) + + input_dir = os.path.join(save_dir, 'input') + os.makedirs(input_dir, exist_ok=True) + + print(source_image) + pic_path = os.path.join(input_dir, os.path.basename(source_image)) + shutil.copy(source_image, input_dir) + + if driven_audio is not None and os.path.isfile(driven_audio): + audio_path = os.path.join(input_dir, os.path.basename(driven_audio)) + shutil.copy(driven_audio, input_dir) + + elif use_idle_mode: + audio_path = os.path.join(input_dir, 'idlemode_'+str(length_of_audio)+'.wav') ## generate audio from this new audio_path + from pydub import AudioSegment + one_sec_segment = AudioSegment.silent(duration=1000*length_of_audio) #duration in milliseconds + one_sec_segment.export(audio_path, format="wav") + else: + assert driven_audio is not None, "No audio is given" + print(use_ref_video, ref_info) + assert use_ref_video == True and ref_info == 'all' + + if use_ref_video and ref_info == 'all': # full ref mode + ref_video_videoname = os.path.basename(ref_video) + audio_path = os.path.join(save_dir, ref_video_videoname+'.wav') + print('new audiopath:',audio_path) + # if ref_video contains audio, set the audio from ref_video. + cmd = r"ffmpeg -y -hide_banner -loglevel error -i %s %s"%(ref_video, audio_path) + os.system(cmd) + + os.makedirs(save_dir, exist_ok=True) + + #crop image and extract 3dmm from image + first_frame_dir = os.path.join(save_dir, 'first_frame_dir') + os.makedirs(first_frame_dir, exist_ok=True) + first_coeff_path, crop_pic_path, crop_info = self.preprocess_model.generate(pic_path, first_frame_dir, preprocess, True, size) + print(first_coeff_path, crop_info) + if first_coeff_path is None: + raise AttributeError("No face is detected") + + if use_ref_video: + print('using ref video for genreation') + ref_video_videoname = os.path.splitext(os.path.split(ref_video)[-1])[0] + ref_video_frame_dir = os.path.join(save_dir, ref_video_videoname) + os.makedirs(ref_video_frame_dir, exist_ok=True) + print('3DMM Extraction for the reference video providing pose') + ref_video_coeff_path, _, _ = self.preprocess_model.generate(ref_video, ref_video_frame_dir, preprocess, source_image_flag=False) + else: + ref_video_coeff_path = None + + if use_ref_video: + if ref_info == 'pose': + ref_pose_coeff_path = ref_video_coeff_path + ref_eyeblink_coeff_path = None + elif ref_info == 'blink': + ref_pose_coeff_path = None + ref_eyeblink_coeff_path = ref_video_coeff_path + elif ref_info == 'pose+blink': + ref_pose_coeff_path = ref_video_coeff_path + ref_eyeblink_coeff_path = ref_video_coeff_path + elif ref_info == 'all': + ref_pose_coeff_path = None + ref_eyeblink_coeff_path = None + else: + raise('error in refinfo') + else: + ref_pose_coeff_path = None + ref_eyeblink_coeff_path = None + + #audio2ceoff + if use_ref_video and ref_info == 'all': + coeff_path = ref_video_coeff_path # self.audio_to_coeff.generate(batch, save_dir, pose_style, ref_pose_coeff_path) + else: + batch = get_data(first_coeff_path, audio_path, self.device, ref_eyeblink_coeff_path=ref_eyeblink_coeff_path, still=still_mode, \ + idlemode=use_idle_mode, length_of_audio=length_of_audio, use_blink=use_blink, fps = fps) # longer audio? + coeff_path = self.audio_to_coeff.generate(batch, save_dir, pose_style, ref_pose_coeff_path) + + #coeff2video + data = get_facerender_data(coeff_path, crop_pic_path, first_coeff_path, audio_path, batch_size, still_mode=still_mode, \ + preprocess=preprocess, size=size, expression_scale = exp_scale, facemodel=facerender) + return_path = self.animate_from_coeff.generate(data, save_dir, pic_path, crop_info, enhancer='gfpgan' if use_enhancer else None, preprocess=preprocess, img_size=size, fps = fps) + # video_name = data['video_name'] + print(f'The generated video is saved in {return_path}') + + del self.preprocess_model + # del self.audio_to_coeff + # del self.animate_from_coeff + + if torch.cuda.is_available(): + torch.cuda.empty_cache() + torch.cuda.synchronize() + + import gc; gc.collect() + + return return_path + + +if __name__ == '__main__': + sadtalker = SadTalker() + source_image = "inputs/girl.png" + source_audio = "answer.wav" + sadtalker.test2(source_image, source_audio, use_idle_mode=True, length_of_audio=5, result_dir='results/') + \ No newline at end of file diff --git a/TFG/Wav2Lip.py b/TFG/Wav2Lip.py new file mode 100644 index 0000000000000000000000000000000000000000..6da72f566bdc7456ddd8d507106e0c95bfb236c9 --- /dev/null +++ b/TFG/Wav2Lip.py @@ -0,0 +1,283 @@ +import sys +sys.path.append('./') + +import numpy as np +import cv2, os, subprocess +from tqdm import tqdm +import torch +import platform +from src.models import Wav2Lip as wav2lip_mdoel +from src.utils import audio +import face_detection + +class Wav2Lip: + def __init__(self, path = 'checkpoints/wav2lip.pth'): + self.fps = 25 + self.resize_factor = 1 + self.mel_step_size = 16 + self.static = False + self.img_size = 96 + self.face_det_batch_size = 8 + self.box = [-1, -1, -1, -1] + self.pads = [0, 10, 0, 0] + self.nosmooth = False + self.device = 'cuda' if torch.cuda.is_available() else 'cpu' + self.model = self.load_model(path) + + def load_model(self, checkpoint_path): + model = wav2lip_mdoel() + print("Load checkpoint from: {}".format(checkpoint_path)) + if self.device == 'cuda': + checkpoint = torch.load(checkpoint_path) + else: + checkpoint = torch.load(checkpoint_path, + map_location=lambda storage, loc: storage) + s = checkpoint["state_dict"] + new_s = {} + for k, v in s.items(): + new_s[k.replace('module.', '')] = v + model.load_state_dict(new_s) + + model = model.to(self.device) + return model.eval() + + # def predict(self, face_path, audio_file, batch_size): + # if face_path.split('.')[1] in ['jpg', 'png', 'jpeg']: + # return self.predict_img(face_path, audio_file, batch_size) + # elif face_path.split('.')[1] == 'mp4': + # return self.predict_video(face_path, audio_file, batch_size) + # else: + # return None + + def predict(self, face, audio_file, batch_size, fps = 25, + enhance = False, resize_factor = 1, rotate = False, crop = [-1, -1, -1, -1]): + os.makedirs('results', exist_ok=True) + os.makedirs('temp', exist_ok=True) + + if not os.path.isfile(face): + raise ValueError('--face argument must be a valid path to video/image file') + + elif face.split('.')[1] in ['jpg', 'png', 'jpeg']: + full_frames = [cv2.imread(face)] + fps = fps + + else: + video_stream = cv2.VideoCapture(face) + fps = video_stream.get(cv2.CAP_PROP_FPS) + + print('Reading video frames...') + + full_frames = [] + while 1: + still_reading, frame = video_stream.read() + if not still_reading: + video_stream.release() + break + if resize_factor > 1: + frame = cv2.resize(frame, (frame.shape[1]//resize_factor, frame.shape[0]//resize_factor)) + + if rotate: + frame = cv2.rotate(frame, cv2.cv2.ROTATE_90_CLOCKWISE) + + y1, y2, x1, x2 = crop + if x2 == -1: x2 = frame.shape[1] + if y2 == -1: y2 = frame.shape[0] + + frame = frame[y1:y2, x1:x2] + + full_frames.append(frame) + print ("Number of frames available for inference: "+str(len(full_frames))) + + if not audio_file.endswith('.wav'): + print('Extracting raw audio...') + command = 'ffmpeg -y -i {} -strict -2 {}'.format(audio_file, 'temp/temp.wav') + + subprocess.call(command, shell=True) + audio_file = 'temp/temp.wav' + + wav = audio.load_wav(audio_file, 16000) + mel = audio.melspectrogram(wav) + print(mel.shape) + + if np.isnan(mel.reshape(-1)).sum() > 0: + raise ValueError('Mel contains nan! Using a TTS voice? Add a small epsilon noise to the wav file and try again') + + mel_chunks = [] + mel_idx_multiplier = 80./self.fps + i = 0 + while 1: + start_idx = int(i * mel_idx_multiplier) + if start_idx + self.mel_step_size > len(mel[0]): + mel_chunks.append(mel[:, len(mel[0]) - self.mel_step_size:]) + break + mel_chunks.append(mel[:, start_idx : start_idx + self.mel_step_size]) + i += 1 + + print("Length of mel chunks: {}".format(len(mel_chunks))) + + full_frames = full_frames[:len(mel_chunks)] + + batch_size = batch_size + gen = self.datagen(full_frames.copy(), mel_chunks, batch_size) + + for i, (img_batch, mel_batch, frames, coords) in enumerate(tqdm(gen, + total=int(np.ceil(float(len(mel_chunks))/batch_size)))): + if i == 0: + frame_h, frame_w = full_frames[0].shape[:-1] + out = cv2.VideoWriter('temp/result.avi', + cv2.VideoWriter_fourcc(*'DIVX'), self.fps, (frame_w, frame_h)) + + img_batch = torch.FloatTensor(np.transpose(img_batch, (0, 3, 1, 2))).to(self.device) + mel_batch = torch.FloatTensor(np.transpose(mel_batch, (0, 3, 1, 2))).to(self.device) + + with torch.no_grad(): + pred = self.model(mel_batch, img_batch) + + pred = pred.cpu().numpy().transpose(0, 2, 3, 1) * 255. + + for p, f, c in zip(pred, frames, coords): + y1, y2, x1, x2 = c + p = cv2.resize(p.astype(np.uint8), (x2 - x1, y2 - y1)) + + f[y1:y2, x1:x2] = p + out.write(f) + + out.release() + if enhance: + import imageio + from src.utils.face_enhancer import enhancer_generator_with_len, enhancer_list + enhancer = 'gfpgan' + background_enhancer = None + video_save_dir = 'results' + video_name_enhance = 'res_enhanced.mp4' + enhanced_path = os.path.join(video_save_dir, 'temp_'+video_name_enhance) + av_path_enhancer = os.path.join(video_save_dir, video_name_enhance) + return_path = av_path_enhancer + full_video_path = 'temp/result.avi' + try: + enhanced_images_gen_with_len = enhancer_generator_with_len(full_video_path, method=enhancer, bg_upsampler=background_enhancer) + imageio.mimsave(enhanced_path, enhanced_images_gen_with_len, fps=float(self.fps)) + + except: + enhanced_images_gen_with_len = enhancer_list(full_video_path, method=enhancer, bg_upsampler=background_enhancer) + imageio.mimsave(enhanced_path, enhanced_images_gen_with_len, fps=float(self.fps)) + command = 'ffmpeg -y -i {} -i {} -strict -2 -q:v 1 {}'.format(audio_file, enhanced_path, 'results/example_answer.mp4') + subprocess.call(command, shell=platform.system() != 'Windows') + else: + command = 'ffmpeg -y -i {} -i {} -strict -2 -q:v 1 {}'.format(audio_file, 'temp/result.avi', 'results/example_answer.mp4') + subprocess.call(command, shell=platform.system() != 'Windows') + return 'results/example_answer.mp4' + + + def datagen(self, frames, mels, batch_size): + img_batch, mel_batch, frame_batch, coords_batch = [], [], [], [] + + if self.box[0] == -1: + if not self.static: + face_det_results = self.face_detect(frames) # BGR2RGB for CNN face detection + else: + face_det_results = self.face_detect([frames[0]]) + else: + print('Using the specified bounding box instead of face detection...') + y1, y2, x1, x2 = self.box + face_det_results = [[f[y1: y2, x1:x2], (y1, y2, x1, x2)] for f in frames] + + for i, m in enumerate(mels): + idx = 0 if self.static else i%len(frames) + frame_to_save = frames[idx].copy() + face, coords = face_det_results[idx].copy() + + face = cv2.resize(face, (self.img_size, self.img_size)) + + img_batch.append(face) + mel_batch.append(m) + frame_batch.append(frame_to_save) + coords_batch.append(coords) + + if len(img_batch) >= batch_size: + img_batch, mel_batch = np.asarray(img_batch), np.asarray(mel_batch) + + img_masked = img_batch.copy() + img_masked[:, self.img_size//2:] = 0 + + img_batch = np.concatenate((img_masked, img_batch), axis=3) / 255. + mel_batch = np.reshape(mel_batch, [len(mel_batch), mel_batch.shape[1], mel_batch.shape[2], 1]) + + yield img_batch, mel_batch, frame_batch, coords_batch + img_batch, mel_batch, frame_batch, coords_batch = [], [], [], [] + + if len(img_batch) > 0: + img_batch, mel_batch = np.asarray(img_batch), np.asarray(mel_batch) + + img_masked = img_batch.copy() + img_masked[:, self.img_size//2:] = 0 + + img_batch = np.concatenate((img_masked, img_batch), axis=3) / 255. + mel_batch = np.reshape(mel_batch, [len(mel_batch), mel_batch.shape[1], mel_batch.shape[2], 1]) + + yield img_batch, mel_batch, frame_batch, coords_batch + + def face_detect(self, images): + try: + detector = face_detection.FaceAlignment(face_detection.LandmarksType.TWO_D, + flip_input=False, device=self.device) + except: + detector = face_detection.FaceAlignment(face_detection.LandmarksType._2D, + flip_input=False, device=self.device) + + batch_size = self.face_det_batch_size + + while 1: + predictions = [] + try: + for i in tqdm(range(0, len(images), batch_size)): + # img_batch = torch.tensor(np.array(images[i:i + batch_size]), device=self.device) + # img_batch = img_batch.permute(0, 3, 1, 2) + # print(img_batch.shape, type(img_batch)) + # predictions.extend(detector.get_landmarks_from_batch(img_batch)) + predictions.extend(detector.get_detections_for_batch(np.array(images[i:i + batch_size]))) + except Exception as e: + print("Error in face detection: {}".format(e)) + if batch_size == 1: + raise RuntimeError('Image too big to run face detection on GPU. Please use the resize_factor argument') + batch_size //= 2 + print('Recovering from OOM error; New batch size: {}'.format(batch_size)) + continue + break + + results = [] + pady1, pady2, padx1, padx2 = self.pads + for rect, image in zip(predictions, images): + if rect is None: + cv2.imwrite('temp/faulty_frame.jpg', image) # check this frame where the face was not detected. + raise ValueError('Face not detected! Ensure the video contains a face in all the frames.') + + y1 = max(0, rect[1] - pady1) + y2 = min(image.shape[0], rect[3] + pady2) + x1 = max(0, rect[0] - padx1) + x2 = min(image.shape[1], rect[2] + padx2) + + results.append([x1, y1, x2, y2]) + + boxes = np.array(results) + if not self.nosmooth: boxes = self.get_smoothened_boxes(boxes, T=5) + results = [[image[y1: y2, x1:x2], (y1, y2, x1, x2)] for image, (x1, y1, x2, y2) in zip(images, boxes)] + + del detector + return results + + def get_smoothened_boxes(self, boxes, T): + for i in range(len(boxes)): + if i + T > len(boxes): + window = boxes[len(boxes) - T:] + else: + window = boxes[i : i + T] + boxes[i] = np.mean(window, axis=0) + return boxes + +if __name__ == '__main__': + current_dir = './' + wav2lip = Wav2Lip(os.path.join(current_dir,'checkpoints/wav2lip.pth')) + # wav2lip.predict('/home/dengkaijun/workdirs/Linly-Talker/TFG/results/test.mp4', os.path.join(current_dir,'answer.wav'), batch_size = 2, enhance=False) + wav2lip.predict(os.path.join(current_dir,'inputs/example.png'), os.path.join(current_dir,'answer.wav'), batch_size = 2, enhance=False) + wav2lip.predict(os.path.join(current_dir,'inputs/example.png'), os.path.join(current_dir,'answer.wav'), batch_size = 2, enhance=True) \ No newline at end of file diff --git a/TFG/Wav2Lipv2.py b/TFG/Wav2Lipv2.py new file mode 100644 index 0000000000000000000000000000000000000000..2696b5ff8401f75b6f28c8fa7ae424569004888e --- /dev/null +++ b/TFG/Wav2Lipv2.py @@ -0,0 +1,425 @@ +''' +ultralytics +''' +import sys +sys.path.append('./') + +import argparse +import copy +import math +import os +import platform +import subprocess +import sys +import tempfile +import time +import uuid +import warnings +from collections import defaultdict +import time + +import cv2 +import numpy as np +import torch +from PIL import Image +from tqdm import tqdm +from src.modelsv2 import Wav2Lip as wav2lip_model +from src.utils import audio + +import face_detection + +os.environ['YOLO_VERBOSE'] = 'False' +from ultralytics import YOLO + + +sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))) +from src.torchalign import FacialLandmarkDetector +from src.utils.utils import decompose_tfm, img_warp, img_warp_back_inv_m, metrix_M +from src.utils.utils import laplacianSmooth + + +torch.manual_seed(1234) +device = 'cuda' if torch.cuda.is_available() else 'cpu' +print('Using {} for inference.'.format(device)) + +def _load(checkpoint_path): + if device == 'cuda': + checkpoint = torch.load(checkpoint_path) + else: + checkpoint = torch.load(checkpoint_path, map_location=lambda storage, loc: storage) + return checkpoint + + +def load_model(path): + model = wav2lip_model() + print("Load checkpoint from: {}".format(path)) + checkpoint = _load(path) + s = checkpoint["state_dict"] + new_s = {} + for k, v in s.items(): + new_s[k.replace('module.', '')] = v + model.load_state_dict(new_s) + + model = model.to(device) + return model.eval() + + +def get_video_fps(vfile): + cap = cv2.VideoCapture(vfile) + fps = cap.get(cv2.CAP_PROP_FPS) + cap.release() + return fps + + +class Wav2Lipv2(): + def __init__(self, checkpoint_path = 'checkpoints/wav2lipv2.pth',pretrained_model_dir = 'checkpoints/weights', + pads = [0, 0, 0, 0], audio_smooth = True, rotate = False): + + self.device = 'cuda' if torch.cuda.is_available() else 'cpu' + self.face_det = YOLO(f'{pretrained_model_dir}/yolov8n-face/yolov8n-face.pt') + + lmk_net = FacialLandmarkDetector(f'{pretrained_model_dir}/wflw/hrnet18_256x256_p1/') + lmk_net = lmk_net.to(self.device) + self.lmk_net = lmk_net.eval() + + self.pads = pads + + self.checkpoint_path = checkpoint_path + + self.img_size = (256, 256) + self.fps = 25 + + self.a_alpha = 1.25 + self.audio_smooth = audio_smooth + self.resize_factor = 1 + self.static = False + self.kpts_smoother = None + self.abox_smoother = None + + self.crop = [0, -1, 0 , -1] + # 拉普拉斯金字塔融合图片大小 + self.lpb_size = 256 + self.mel_step_size = 16 + self.rotate = False + self.model = load_model(self.checkpoint_path) + print("Model loaded") + + @staticmethod + def landmark_to_keypoints(landmark): + lefteye = np.mean(landmark[60:68, :], axis=0) + righteye = np.mean(landmark[68:76, :], axis=0) + nose = landmark[54, :] + leftmouth = (landmark[76, :] + landmark[88, :]) / 2 + rightmouth = (landmark[82, :] + landmark[92, :]) / 2 + return (lefteye, righteye, nose, leftmouth, rightmouth) + + @torch.no_grad() + def detect_face(self, face_img): + boxes = self.face_det(face_img, + imgsz=640, + conf=0.01, + iou=0.5, + half=True, + augment=False, + device=self.device)[0].boxes + bboxes = boxes.xyxy.cpu().numpy() + return bboxes + + @torch.no_grad() + def detect_lmk(self, image, bbox=None): + if isinstance(bbox, list): + bbox = np.array(bbox) + img_pil = Image.fromarray(cv2.cvtColor(image, cv2.COLOR_BGR2RGB)) + bbox_tensor = torch.from_numpy(bbox[:, :4]) + landmark = self.lmk_net(img_pil, bbox=bbox_tensor, device=self.device).cpu().numpy() + return landmark + + def prepare_batch(self, img_batch, mel_batch, img_size): + img_size_h, img_size_w = img_size + img_batch, mel_batch = np.asarray(img_batch), np.asarray(mel_batch) + + img_batch = img_batch / 255. + + img_masked = img_batch.copy() + img_masked[:, img_size_h // 2:] = 0 + + img_batch = np.concatenate((img_masked, img_batch), axis=3) + # (B, 80, 16) -> (B, 80, 16, 1) + mel_batch = np.reshape(mel_batch, [len(mel_batch), mel_batch.shape[1], mel_batch.shape[2], 1]) + return img_batch, mel_batch + + def build_avatar(self, video_path, fps, max_frame_num=-1): + full_frames = [] + if video_path.split('.')[1] in ['jpg', 'png', 'jpeg']: + full_frames = [cv2.imread(video_path)] + else: + video_stream = cv2.VideoCapture(video_path) + print("fps={}".format(fps)) + print('Reading video frames...') + + while 1: + still_reading, frame = video_stream.read() + if not still_reading: + video_stream.release() + break + if self.resize_factor > 1: + frame = cv2.resize(frame, (frame.shape[1] // self.resize_factor, frame.shape[0] // self.resize_factor)) + + if self.rotate: + frame = cv2.rotate(frame, cv2.ROTATE_90_CLOCKWISE) + + y1, y2, x1, x2 = self.crop + if x2 == -1: x2 = frame.shape[1] + if y2 == -1: y2 = frame.shape[0] + + frame = frame[y1:y2, x1:x2] + + full_frames.append(frame) + + if max_frame_num > 0 and len(full_frames) >= max_frame_num or self.static: + video_stream.release() + break + + print("Number of frames available for inference: " + str(len(full_frames))) + + self.kpts_smoother = laplacianSmooth() + self.abox_smoother = laplacianSmooth() + + frame_info_list = [] + print("------- 1") + #batch_size = 32 + #for batch in tqdm(range(0, len(full_frames), batch_size)): + #batch_frames = full_frames[batch:batch + batch_size] + #batch_frame_info_list = [] + #for frame in batch_frames: + #imginfo = self.get_input_imginfo(frame.copy()) + #batch_frame_info_list.append(imginfo) + #frame_info_list.extend(batch_frame_info_list) + for frame_id in tqdm(range(len(full_frames))): + imginfo = self.get_input_imginfo(full_frames[frame_id].copy()) + frame_info_list.append(imginfo) + print("------- 2") + self.kpts_smoother = None + self.abox_smoother = None + + frame_h, frame_w = full_frames[0].shape[:2] + avatar = { + 'fps': fps, + 'frame_num': len(full_frames), + 'frame_h': frame_h, + 'frame_w': frame_w, + 'frame_info_list': frame_info_list + } + return avatar + + @torch.no_grad() + def get_input_imginfo(self, frame): + bbox = self.detect_face(frame.copy())[0][:5] + landmark = self.detect_lmk(frame.copy(), [bbox])[0] + keypoints = self.landmark_to_keypoints(landmark) + + keypoints = self.kpts_smoother.smooth(np.array(keypoints)) + + m = metrix_M(face_size=200, expand_size=256, keypoints=keypoints) + + align_frame = img_warp(frame, m, 256, adjust=0) + align_bbox = self.detect_face(align_frame.copy())[0][:4] + + align_bbox = self.abox_smoother.smooth(np.reshape(align_bbox, (-1, 2))).reshape(-1) + + # 重新warp 图片，保持scale 不变 + w, h = 256, 256 + rt, s = decompose_tfm(m) + s_x, s_y = s[0][0], s[1][1] + m = rt + align_frame = cv2.warpAffine(frame, m, (math.ceil(w / s_x), math.ceil(h / s_y)), flags=cv2.INTER_CUBIC) + inv_m = cv2.invertAffineTransform(m) + + face = copy.deepcopy(align_frame) + h, w, c = align_frame.shape + bbox = align_bbox + bbox[0] *= (w - 1) / 255 + bbox[1] *= (h - 1) / 255 + bbox[2] *= (w - 1) / 255 + bbox[3] *= (h - 1) / 255 + + rect = [round(f) for f in bbox[:4]] + pady1, pady2, padx1, padx2 = self.pads + y1 = max(0, rect[1] - pady1) + y2 = min(h, rect[3] + pady2) + x1 = max(0, rect[0] - padx1) + x2 = min(w, rect[2] + padx2) + + coords = (y1, y2, x1, x2) + face = face[y1:y2, x1:x2] + + face = cv2.resize(face, self.img_size) + + return { + 'img': face, + 'frame': frame, + 'coords': coords, + 'align_frame': align_frame, + 'm': m, + 'inv_m': inv_m, + } + + def get_input_imginfo_by_index(self, idx, avatar): + return avatar['frame_info_list'][idx] + + def get_input_mel_by_index(self, index, wav_mel): + # 处理音频 + T = 5 + mel_idx_multiplier = 80. / self.fps # 一帧图像对应3.2帧音频 + start_idx = int((index - (T - 1) // 2) * mel_idx_multiplier) + if start_idx < 0: + start_idx = 0 + if start_idx + self.mel_step_size > len(wav_mel[0]): + start_idx = len(wav_mel[0]) - self.mel_step_size + mel = wav_mel[:, start_idx: start_idx + self.mel_step_size] + return mel + + def get_intput_by_index(self, index, wav_mel, avatar): + mel = self.get_input_mel_by_index(index, wav_mel) + + # 处理图片，视频为正序，倒序，正序，倒序，循环 + frame_num = avatar['frame_num'] + idx = index % frame_num + idx = idx if index // frame_num % 2 == 0 else frame_num - idx - 1 + + input_dict = {'mel': mel} + input_imginfo = self.get_input_imginfo_by_index(idx, avatar) + input_dict.update(copy.deepcopy(input_imginfo)) + return input_dict + + def run(self, video_path, audio_path, batch_size = 4, enhance = False, outfile=None, fps = 25): + if outfile is None: + key = str(uuid.uuid4().hex) + outfile = ("results/result_voice_{}.mp4".format(key)) + + + fps = fps if video_path.split('.')[1] in ['jpg', 'png', 'jpeg'] else get_video_fps(video_path) + self.fps = fps + + temp_audio_file = tempfile.NamedTemporaryFile(suffix=".wav") + temp_audio_file.name = "tempface.wav" + if not audio_path.endswith('.wav'): + print('Extracting raw audio...') + command = 'ffmpeg -y -i {} -strict -2 {}'.format(audio_path, temp_audio_file.name) + subprocess.call(command, shell=True) + wav_path = temp_audio_file.name + else: + wav_path = audio_path + + wav = audio.load_wav(wav_path, 16000) + wav_mel = audio.melspectrogram(wav) + mel_idx_multiplier = 80. / fps + gen_frame_num = int(len(wav_mel[0]) / mel_idx_multiplier) + + avatar = self.build_avatar(video_path, fps, max_frame_num=gen_frame_num) + torch.cuda.empty_cache() + + img_size = self.img_size + + frame_h, frame_w = avatar['frame_h'], avatar['frame_w'] + + temp_face_file = tempfile.NamedTemporaryFile(suffix=".mp4") + temp_face_file.name = "tempface.mp4" + out = cv2.VideoWriter(temp_face_file.name, cv2.VideoWriter_fourcc(*'mp4v'), fps, (frame_w, frame_h)) + + batch_data = defaultdict(list) + + start_infer = time.time() + pure_model_time = 0.0 + + for i in tqdm(range(gen_frame_num)): + input_data = self.get_intput_by_index(i, wav_mel, avatar) + # 组batch + for k, v in input_data.items(): + batch_data[k + '_batch'].append(v) + + if len(batch_data.get('mel_batch')) == batch_size or i == gen_frame_num - 1: + infer_size = len(batch_data['mel_batch']) + + img_batch = batch_data['img_batch'] + mel_batch = batch_data['mel_batch'] + frames = batch_data['frame_batch'] + coords = batch_data['coords_batch'] + align_frames = batch_data['align_frame_batch'] + ms = batch_data['m_batch'] + inv_ms = batch_data['inv_m_batch'] + + if self.audio_smooth: + mel_batch.insert(0, self.get_input_mel_by_index(max(0, i - infer_size), wav_mel)) + mel_batch.append(self.get_input_mel_by_index(min(i + 1, gen_frame_num - 1), wav_mel)) + + img_batch, mel_batch = self.prepare_batch(img_batch, mel_batch, img_size) + + # pytorch 推理 + start_model = time.time() + img_batch = torch.FloatTensor(np.transpose(img_batch, (0, 3, 1, 2))).to(device) + mel_batch = torch.FloatTensor(np.transpose(mel_batch, (0, 3, 1, 2))).to(device) + with torch.no_grad(): + if self.audio_smooth: + audio_embedding = self.model.audio_forward(mel_batch, a_alpha=1.25) + audio_embedding = 0.2 * audio_embedding[:-2] + 0.6 * audio_embedding[1:-1] + 0.2 * audio_embedding[2:] + pred = self.model.inference(audio_embedding, img_batch) + else: + pred = self.model(mel_batch, img_batch, a_alpha=1.25) + pred = pred.detach().cpu().numpy().transpose(0, 2, 3, 1) * 255. + + end_model = time.time() + pure_model_time += (end_model - start_model) + + for p, f, c, af, inv_m in zip(pred, frames, coords, align_frames, inv_ms): + y1, y2, x1, x2 = c + p = cv2.resize(p.astype(np.uint8), (x2 - x1, y2 - y1)) + af[y1:y2, x1:x2] = p + f = img_warp_back_inv_m(af, f, inv_m) + out.write(f) + + batch_data.clear() + + end_infer = time.time() + latency_per_frame = (end_infer - start_infer) * 1000 / gen_frame_num + latency_model = pure_model_time * 1000 / gen_frame_num + print(f"每一帧延迟: {latency_per_frame:.3f} ms") + print(f"每一帧延迟，纯模型: {latency_model:.3f} ms") + + out.release() + if enhance: + import imageio + from src.utils.face_enhancer import enhancer_generator_with_len, enhancer_list + enhancer = 'gfpgan' + background_enhancer = None + video_save_dir = 'results' + video_name_enhance = 'res_enhanced.mp4' + enhanced_path = os.path.join(video_save_dir, 'temp_'+video_name_enhance) + av_path_enhancer = os.path.join(video_save_dir, video_name_enhance) + return_path = av_path_enhancer + full_video_path = temp_face_file.name + try: + enhanced_images_gen_with_len = enhancer_generator_with_len(full_video_path, method=enhancer, bg_upsampler=background_enhancer) + imageio.mimsave(enhanced_path, enhanced_images_gen_with_len, fps=float(self.fps)) + except: + enhanced_images_gen_with_len = enhancer_list(full_video_path, method=enhancer, bg_upsampler=background_enhancer) + imageio.mimsave(enhanced_path, enhanced_images_gen_with_len, fps=float(self.fps)) + command = 'ffmpeg -y -i "{}" -i "{}" -strict -2 -q:v 1 "{}"'.format(wav_path, enhanced_path, outfile) + subprocess.call(command, shell=platform.system() != 'Windows') + else: + command = 'ffmpeg -y -i "{}" -i "{}" -strict -2 -q:v 1 "{}"'.format(wav_path, temp_face_file.name, outfile) + subprocess.call(command, shell=platform.system() != 'Windows') + + temp_face_file.close() + temp_audio_file.close() + return outfile + + + +if __name__ == '__main__': + current_dir = './' + wav2lipv2 = Wav2Lipv2(os.path.join(current_dir,'checkpoints/wav2lipv2.pth')) + wav2lipv2.run('/home/dengkaijun/workdirs/Wav2Lip/video.mp4', '/home/dengkaijun/workdirs/Wav2Lip/video.mp4', batch_size = 16) + + # wav2lipv2.run(os.path.join(current_dir,'inputs/example.png'), os.path.join(current_dir,'answer.wav'), batch_size = 16) + # wav2lipv2.run(os.path.join(current_dir,'inputs/example.png'), os.path.join(current_dir,'answer.wav'), batch_size = 16, enhance = True) diff --git a/TFG/__init__.py b/TFG/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..35a12a7c1dc6922049b0e02c7683f86f76898758 --- /dev/null +++ b/TFG/__init__.py @@ -0,0 +1,13 @@ +from .SadTalker import SadTalker +from .Wav2Lip import Wav2Lip +from .Wav2Lipv2 import Wav2Lipv2 +try: + from .NeRFTalk import NeRFTalk +except Exception as e: + print("NeRFTalk导入失败，原因：", e) + print("使用NeRFTalk前需要安装对应的环境") +try: + from .MuseTalk import MuseTalk_RealTime +except Exception as e: + print("MuseTalk导入失败，原因：", e) + print("使用MuseTalk前需要安装对应的环境") \ No newline at end of file diff --git a/TFG/requirements_musetalk.txt b/TFG/requirements_musetalk.txt new file mode 100644 index 0000000000000000000000000000000000000000..97d5a7a88e709bff656228a1f78fa3a5543acf6c --- /dev/null +++ b/TFG/requirements_musetalk.txt @@ -0,0 +1,19 @@ +# pip install --no-cache-dir -U openmim +# mim install mmengine +# mim install "mmcv>=2.0.1" +# mim install "mmdet>=3.1.0" +# mim install "mmpose>=1.1.0" +# =======MuseTalk===========# +ffmpeg-python +diffusers==0.27.2 +accelerate==0.28.0 +opencv-python==4.9.0.80 +soundfile==0.12.1 +transformers==4.39.2 +gdown +requests +imageio[ffmpeg] +omegaconf +ffmpeg-python +spaces +moviepy diff --git a/TFG/requirements_nerf.txt b/TFG/requirements_nerf.txt new file mode 100644 index 0000000000000000000000000000000000000000..b7314abb1c46ca885aced7ffaa7bc3431f2c533b --- /dev/null +++ b/TFG/requirements_nerf.txt @@ -0,0 +1,37 @@ +torch-ema +ninja +trimesh +opencv-python +tensorboardX +numpy +pandas +tqdm +matplotlib +PyMCubes==0.1.4 +rich +dearpygui +packaging +scipy +scikit-learn + +face_alignment +python_speech_features +numba +resampy +pyaudio +soundfile +einops +configargparse + +lpips +imageio-ffmpeg +onnxruntime-gpu +facenet_pytorch==2.5.* +librosa +fvcore +iopath + +NeRF/freqencoder +NeRF/gridencoder +NeRF/raymarching +NeRF/shencoder \ No newline at end of file diff --git a/TTS/EdgeTTS.py b/TTS/EdgeTTS.py new file mode 100644 index 0000000000000000000000000000000000000000..a5d37b69b2291c0c9dcf7a62060a4b271e2b5242 --- /dev/null +++ b/TTS/EdgeTTS.py @@ -0,0 +1,200 @@ +import asyncio +import requests +import json +import os +from edge_tts import Communicate, SubMaker +from io import TextIOWrapper +from typing import Any, TextIO, Union +import sys +sys.path.append('../Linly-Talker') +sys.path.append('../Linly-Talker-main') +from src import cost_time +from src.cost_time import calculate_time +os.environ["GRADIO_TEMP_DIR"]= './temp' + +""" +Constants for the Edge TTS project. +""" + +TRUSTED_CLIENT_TOKEN = "6A5AA1D4EAFF4E9FB37E23D68491D6F4" + +WSS_URL = ( + "wss://speech.platform.bing.com/consumer/speech/synthesize/" + + "readaloud/edge/v1?TrustedClientToken=" + + TRUSTED_CLIENT_TOKEN +) + +VOICE_LIST = ( + "https://speech.platform.bing.com/consumer/speech/synthesize/" + + "readaloud/voices/list?trustedclienttoken=" + + TRUSTED_CLIENT_TOKEN +) + +def list_voices_fn(proxy=None): + """ + List all available voices and their attributes. + + This pulls data from the URL used by Microsoft Edge to return a list of + all available voices. + + Returns: + dict: A dictionary of voice attributes. + """ + # ssl_ctx = ssl.create_default_context(cafile=certifi.where()) + headers = { + "Authority": "speech.platform.bing.com", + "Sec-CH-UA": '" Not;A Brand";v="99", "Microsoft Edge";v="91", "Chromium";v="91"', + "Sec-CH-UA-Mobile": "?0", + "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 " + "(KHTML, like Gecko) Chrome/91.0.4472.77 Safari/537.36 Edg/91.0.864.41", + "Accept": "*/*", + "Sec-Fetch-Site": "none", + "Sec-Fetch-Mode": "cors", + "Sec-Fetch-Dest": "empty", + "Accept-Encoding": "gzip, deflate, br", + "Accept-Language": "en-US,en;q=0.9", + } + response = requests.get(VOICE_LIST, headers=headers, timeout=3) + data = json.loads(response.text) + return data + + +class EdgeTTS: + def __init__(self, list_voices = False, proxy = None) -> None: + try: + voices = list_voices_fn(proxy=proxy) + self.SUPPORTED_VOICE = [item['ShortName'] for item in voices] + self.SUPPORTED_VOICE.sort(reverse=True) + # print(self.SUPPORTED_VOICE) + if list_voices: + print(", ".join(self.SUPPORTED_VOICE)) + self.network = True + except: + # print("网络无法连接，无法获取语音列表，可能Edge模式会出错，建议使用其他TTS方法") + self.network = False + self.SUPPORTED_VOICE = ['zu-ZA-ThembaNeural', 'zu-ZA-ThandoNeural', 'zh-TW-YunJheNeural', 'zh-TW-HsiaoYuNeural', 'zh-TW-HsiaoChenNeural', 'zh-HK-WanLungNeural', + 'zh-HK-HiuMaanNeural', 'zh-HK-HiuGaaiNeural', 'zh-CN-shaanxi-XiaoniNeural', 'zh-CN-liaoning-XiaobeiNeural', + 'zh-CN-YunyangNeural', 'zh-CN-YunxiaNeural', 'zh-CN-YunxiNeural', 'zh-CN-YunjianNeural', + 'zh-CN-XiaoyiNeural', 'zh-CN-XiaoxiaoNeural', 'vi-VN-NamMinhNeural', 'vi-VN-HoaiMyNeural', + 'uz-UZ-SardorNeural', 'uz-UZ-MadinaNeural', 'ur-PK-UzmaNeural', 'ur-PK-AsadNeural', + 'ur-IN-SalmanNeural', 'ur-IN-GulNeural', 'uk-UA-PolinaNeural', 'uk-UA-OstapNeural', + 'tr-TR-EmelNeural', 'tr-TR-AhmetNeural', 'th-TH-PremwadeeNeural', 'th-TH-NiwatNeural', + 'te-IN-ShrutiNeural', 'te-IN-MohanNeural', 'ta-SG-VenbaNeural', 'ta-SG-AnbuNeural', + 'ta-MY-SuryaNeural', 'ta-MY-KaniNeural', 'ta-LK-SaranyaNeural', 'ta-LK-KumarNeural', + 'ta-IN-ValluvarNeural', 'ta-IN-PallaviNeural', 'sw-TZ-RehemaNeural', 'sw-TZ-DaudiNeural', + 'sw-KE-ZuriNeural', 'sw-KE-RafikiNeural', 'sv-SE-SofieNeural', 'sv-SE-MattiasNeural', + 'su-ID-TutiNeural', 'su-ID-JajangNeural', 'sr-RS-SophieNeural', 'sr-RS-NicholasNeural', 'sq-AL-IlirNeural', 'sq-AL-AnilaNeural', + 'so-SO-UbaxNeural', 'so-SO-MuuseNeural', 'sl-SI-RokNeural', 'sl-SI-PetraNeural', + 'sk-SK-ViktoriaNeural', 'sk-SK-LukasNeural', 'si-LK-ThiliniNeural', 'si-LK-SameeraNeural', + 'ru-RU-SvetlanaNeural', 'ru-RU-DmitryNeural', 'ro-RO-EmilNeural', 'ro-RO-AlinaNeural', 'pt-PT-RaquelNeural', 'pt-PT-DuarteNeural', 'pt-BR-ThalitaNeural', 'pt-BR-FranciscaNeural', + 'pt-BR-AntonioNeural', 'ps-AF-LatifaNeural', 'ps-AF-GulNawazNeural', 'pl-PL-ZofiaNeural', + 'pl-PL-MarekNeural', 'nl-NL-MaartenNeural', 'nl-NL-FennaNeural', 'nl-NL-ColetteNeural', + 'nl-BE-DenaNeural', 'nl-BE-ArnaudNeural', 'ne-NP-SagarNeural', 'ne-NP-HemkalaNeural', + 'nb-NO-PernilleNeural', 'nb-NO-FinnNeural', 'my-MM-ThihaNeural', 'my-MM-NilarNeural', + 'mt-MT-JosephNeural', 'mt-MT-GraceNeural', 'ms-MY-YasminNeural', 'ms-MY-OsmanNeural', + 'mr-IN-ManoharNeural', 'mr-IN-AarohiNeural', 'mn-MN-YesuiNeural', 'mn-MN-BataaNeural', + 'ml-IN-SobhanaNeural', 'ml-IN-MidhunNeural', 'mk-MK-MarijaNeural', 'mk-MK-AleksandarNeural', + 'lv-LV-NilsNeural', 'lv-LV-EveritaNeural', 'lt-LT-OnaNeural', 'lt-LT-LeonasNeural', 'lo-LA-KeomanyNeural', 'lo-LA-ChanthavongNeural', + 'ko-KR-SunHiNeural', 'ko-KR-InJoonNeural', 'ko-KR-HyunsuNeural', 'kn-IN-SapnaNeural', + 'kn-IN-GaganNeural', 'km-KH-SreymomNeural', 'km-KH-PisethNeural', 'kk-KZ-DauletNeural', + 'kk-KZ-AigulNeural', 'ka-GE-GiorgiNeural', 'ka-GE-EkaNeural', 'jv-ID-SitiNeural', 'jv-ID-DimasNeural', + 'ja-JP-NanamiNeural', 'ja-JP-KeitaNeural', 'it-IT-IsabellaNeural', 'it-IT-GiuseppeNeural', 'it-IT-ElsaNeural', + 'it-IT-DiegoNeural', 'is-IS-GunnarNeural', 'is-IS-GudrunNeural', 'id-ID-GadisNeural', 'id-ID-ArdiNeural', + 'hu-HU-TamasNeural', 'hu-HU-NoemiNeural', 'hr-HR-SreckoNeural', 'hr-HR-GabrijelaNeural', 'hi-IN-SwaraNeural', + 'hi-IN-MadhurNeural', 'he-IL-HilaNeural', 'he-IL-AvriNeural', 'gu-IN-NiranjanNeural', 'gu-IN-DhwaniNeural', + 'gl-ES-SabelaNeural', 'gl-ES-RoiNeural', 'ga-IE-OrlaNeural', 'ga-IE-ColmNeural', 'fr-FR-VivienneMultilingualNeural', + 'fr-FR-RemyMultilingualNeural', 'fr-FR-HenriNeural', 'fr-FR-EloiseNeural', 'fr-FR-DeniseNeural', 'fr-CH-FabriceNeural', + 'fr-CH-ArianeNeural', 'fr-CA-ThierryNeural', 'fr-CA-SylvieNeural', 'fr-CA-JeanNeural', 'fr-CA-AntoineNeural', + 'fr-BE-GerardNeural', 'fr-BE-CharlineNeural', 'fil-PH-BlessicaNeural', 'fil-PH-AngeloNeural', 'fi-FI-NooraNeural', + 'fi-FI-HarriNeural', 'fa-IR-FaridNeural', 'fa-IR-DilaraNeural', 'et-EE-KertNeural', 'et-EE-AnuNeural', + 'es-VE-SebastianNeural', 'es-VE-PaolaNeural', 'es-UY-ValentinaNeural', 'es-UY-MateoNeural', 'es-US-PalomaNeural', + 'es-US-AlonsoNeural', 'es-SV-RodrigoNeural', 'es-SV-LorenaNeural', 'es-PY-TaniaNeural', 'es-PY-MarioNeural', + 'es-PR-VictorNeural', 'es-PR-KarinaNeural', 'es-PE-CamilaNeural', 'es-PE-AlexNeural', 'es-PA-RobertoNeural', + 'es-PA-MargaritaNeural', 'es-NI-YolandaNeural', 'es-NI-FedericoNeural', 'es-MX-JorgeNeural', 'es-MX-DaliaNeural', + 'es-HN-KarlaNeural', 'es-HN-CarlosNeural', 'es-GT-MartaNeural', 'es-GT-AndresNeural', 'es-GQ-TeresaNeural', + 'es-GQ-JavierNeural', 'es-ES-XimenaNeural', 'es-ES-ElviraNeural', 'es-ES-AlvaroNeural', 'es-EC-LuisNeural', + 'es-EC-AndreaNeural', 'es-DO-RamonaNeural', 'es-DO-EmilioNeural', 'es-CU-ManuelNeural', 'es-CU-BelkysNeural', + 'es-CR-MariaNeural', 'es-CR-JuanNeural', 'es-CO-SalomeNeural', 'es-CO-GonzaloNeural', 'es-CL-LorenzoNeural', + 'es-CL-CatalinaNeural', 'es-BO-SofiaNeural', 'es-BO-MarceloNeural', 'es-AR-TomasNeural', 'es-AR-ElenaNeural', + 'en-ZA-LukeNeural', 'en-ZA-LeahNeural', 'en-US-SteffanNeural', 'en-US-RogerNeural', 'en-US-MichelleNeural', + 'en-US-JennyNeural', 'en-US-GuyNeural', 'en-US-EricNeural', 'en-US-EmmaNeural', 'en-US-ChristopherNeural', + 'en-US-BrianNeural', 'en-US-AvaNeural', 'en-US-AriaNeural', 'en-US-AndrewNeural', 'en-US-AnaNeural', + 'en-TZ-ImaniNeural', 'en-TZ-ElimuNeural', 'en-SG-WayneNeural', 'en-SG-LunaNeural', 'en-PH-RosaNeural', + 'en-PH-JamesNeural', 'en-NZ-MollyNeural', 'en-NZ-MitchellNeural', 'en-NG-EzinneNeural', + 'en-NG-AbeoNeural', 'en-KE-ChilembaNeural', 'en-KE-AsiliaNeural', 'en-IN-PrabhatNeural', + 'en-IN-NeerjaNeural', 'en-IN-NeerjaExpressiveNeural', 'en-IE-EmilyNeural', 'en-IE-ConnorNeural', + 'en-HK-YanNeural', 'en-HK-SamNeural', 'en-GB-ThomasNeural', 'en-GB-SoniaNeural', 'en-GB-RyanNeural', + 'en-GB-MaisieNeural', 'en-GB-LibbyNeural', 'en-CA-LiamNeural', 'en-CA-ClaraNeural', 'en-AU-WilliamNeural', + 'en-AU-NatashaNeural', 'el-GR-NestorasNeural', 'el-GR-AthinaNeural', 'de-DE-SeraphinaMultilingualNeural', + 'de-DE-KillianNeural', 'de-DE-KatjaNeural', 'de-DE-FlorianMultilingualNeural', 'de-DE-ConradNeural', + 'de-DE-AmalaNeural', 'de-CH-LeniNeural', 'de-CH-JanNeural', 'de-AT-JonasNeural', 'de-AT-IngridNeural', + 'da-DK-JeppeNeural', 'da-DK-ChristelNeural', 'cy-GB-NiaNeural', 'cy-GB-AledNeural', 'cs-CZ-VlastaNeural', + 'cs-CZ-AntoninNeural', 'ca-ES-JoanaNeural', 'ca-ES-EnricNeural', 'bs-BA-VesnaNeural', 'bs-BA-GoranNeural', + 'bn-IN-TanishaaNeural', 'bn-IN-BashkarNeural', 'bn-BD-PradeepNeural', 'bn-BD-NabanitaNeural', 'bg-BG-KalinaNeural', + 'bg-BG-BorislavNeural', 'az-AZ-BanuNeural', 'az-AZ-BabekNeural', 'ar-YE-SalehNeural', 'ar-YE-MaryamNeural', + 'ar-TN-ReemNeural', 'ar-TN-HediNeural', 'ar-SY-LaithNeural', 'ar-SY-AmanyNeural', 'ar-SA-ZariyahNeural', + 'ar-SA-HamedNeural', 'ar-QA-MoazNeural', 'ar-QA-AmalNeural', 'ar-OM-AyshaNeural', 'ar-OM-AbdullahNeural', + 'ar-MA-MounaNeural', 'ar-MA-JamalNeural', 'ar-LY-OmarNeural', 'ar-LY-ImanNeural', 'ar-LB-RamiNeural', 'ar-LB-LaylaNeural', + 'ar-KW-NouraNeural', 'ar-KW-FahedNeural', 'ar-JO-TaimNeural', 'ar-JO-SanaNeural', 'ar-IQ-RanaNeural', 'ar-IQ-BasselNeural', + 'ar-EG-ShakirNeural', 'ar-EG-SalmaNeural', 'ar-DZ-IsmaelNeural', 'ar-DZ-AminaNeural', 'ar-BH-LailaNeural', 'ar-BH-AliNeural', + 'ar-AE-HamdanNeural', 'ar-AE-FatimaNeural', 'am-ET-MekdesNeural', 'am-ET-AmehaNeural', 'af-ZA-WillemNeural', 'af-ZA-AdriNeural'] + + def preprocess(self, rate, volume, pitch): + if rate >= 0: + rate = f'+{rate}%' + else: + rate = f'{rate}%' + if pitch >= 0: + pitch = f'+{pitch}Hz' + else: + pitch = f'{pitch}Hz' + volume = 100 - volume + volume = f'-{volume}%' + return rate, volume, pitch + @calculate_time + def predict(self,TEXT, VOICE, RATE, VOLUME, PITCH, OUTPUT_FILE='result.wav', OUTPUT_SUBS='result.vtt', words_in_cue = 8): + async def amain() -> None: + """Main function""" + rate, volume, pitch = self.preprocess(rate = RATE, volume = VOLUME, pitch = PITCH) + communicate = Communicate(TEXT, VOICE, rate = rate, volume = volume, pitch = pitch) + subs: SubMaker = SubMaker() + sub_file: Union[TextIOWrapper, TextIO] = ( + open(OUTPUT_SUBS, "w", encoding="utf-8") + ) + async for chunk in communicate.stream(): + if chunk["type"] == "audio": + # audio_file.write(chunk["data"]) + pass + elif chunk["type"] == "WordBoundary": + # print((chunk["offset"], chunk["duration"]), chunk["text"]) + subs.create_sub((chunk["offset"], chunk["duration"]), chunk["text"]) + sub_file.write(subs.generate_subs(words_in_cue)) + await communicate.save(OUTPUT_FILE) + + + # loop = asyncio.get_event_loop_policy().get_event_loop() + # try: + # loop.run_until_complete(amain()) + # finally: + # loop.close() + asyncio.run(amain()) + with open(OUTPUT_SUBS, 'r', encoding='utf-8') as file: + vtt_lines = file.readlines() + + # 去掉每一行文字中的空格 + vtt_lines_without_spaces = [line.replace(" ", "") if "-->" not in line else line for line in vtt_lines] + # print(vtt_lines_without_spaces) + with open(OUTPUT_SUBS, 'w', encoding='utf-8') as output_file: + output_file.writelines(vtt_lines_without_spaces) + return OUTPUT_FILE, OUTPUT_SUBS + +def test(): + tts = EdgeTTS(list_voices=True) + TEXT = '''近日，苹果公司起诉高通公司，状告其未按照相关合约进行合作，高通方面尚未回应。这句话中“其”指的是谁？''' + VOICE = "zh-CN-XiaoxiaoNeural" + OUTPUT_FILE, OUTPUT_SUBS = "tts.wav", "tts.vtt" + audio_file, sub_file = tts.predict(TEXT, VOICE, 0, 0, 0, OUTPUT_FILE, OUTPUT_SUBS) + print("Audio file written to", audio_file, "and subtitle file written to", sub_file) + +if __name__ == "__main__": + test() \ No newline at end of file diff --git a/TTS/PaddleTTS.py b/TTS/PaddleTTS.py new file mode 100644 index 0000000000000000000000000000000000000000..20ea86298e1045d849d449e199f2907c0d2b401f --- /dev/null +++ b/TTS/PaddleTTS.py @@ -0,0 +1,138 @@ +import os +from paddlespeech.cli.tts.infer import TTSExecutor + +""" +PaddleSpeech + +声码器说明：这里预制了三种声码器【PWGan】【WaveRnn】【HifiGan】, 三种声码器效果和生成时间有比较大的差距，请跟进自己的需要进行选择。不过只选择了前两种，因为WaveRNN太慢了 + +| 声码器 | 音频质量 | 生成速度 | +| :----: | :----: | :----: | +| PWGan | 中等 | 中等 | +| WaveRnn | 高 | 非常慢（耐心等待） | +| HifiGan | 低 | 快 | + +这些PaddleSpeech中的样例主要按数据集分类，我们主要使用的TTS数据集有： + +CSMCS (普通话单发音人) +AISHELL3 (普通话多发音人) +LJSpeech (英文单发音人) +VCTK (英文多发音人) + +PaddleSpeech 的 TTS 模型具有以下映射关系： + +tts0 - Tacotron2 +tts1 - TransformerTTS +tts2 - SpeedySpeech +tts3 - FastSpeech2 +voc0 - WaveFlow +voc1 - Parallel WaveGAN +voc2 - MelGAN +voc3 - MultiBand MelGAN +voc4 - Style MelGAN +voc5 - HiFiGAN +vc0 - Tacotron2 Voice Clone with GE2E +vc1 - FastSpeech2 Voice Clone with GE2E + +以下是 PaddleSpeech 提供的可以被命令行和 python API 使用的预训练模型列表： + +- 声学模型 + | 模型 | 语言 | + | :--- | :---: | + | speedyspeech_csmsc | zh | + | fastspeech2_csmsc | zh | + | fastspeech2_ljspeech | en | + | fastspeech2_aishell3 | zh | + | fastspeech2_vctk | en | + | fastspeech2_cnndecoder_csmsc | zh | + | fastspeech2_mix | mix | + | tacotron2_csmsc | zh | + | tacotron2_ljspeech | en | + | fastspeech2_male | zh | + | fastspeech2_male | en | + | fastspeech2_male | mix | + | fastspeech2_canton | canton | + +- 声码器 + | 模型 | 语言 | + | :--- | :---: | + | pwgan_csmsc | zh | + | pwgan_ljspeech | en | + | pwgan_aishell3 | zh | + | pwgan_vctk | en | + | mb_melgan_csmsc | zh | + | style_melgan_csmsc | zh | + | hifigan_csmsc | zh | + | hifigan_ljspeech | en | + | hifigan_aishell3 | zh | + | hifigan_vctk | en | + | wavernn_csmsc | zh | + | pwgan_male | zh | + | hifigan_male | zh | +""" + + +class PaddleTTS: + def __init__(self) -> None: + pass + + def predict(self, text, am, voc, spk_id = 174, lang = 'zh', male=False, save_path = 'output.wav'): + self.tts = TTSExecutor() + + use_onnx = True + voc = voc.lower() + am = am.lower() + + if male: + assert voc in ["pwgan", "hifigan"], "male voc must be 'pwgan' or 'hifigan'" + wav_file = self.tts( + text = text, + output = save_path, + am='fastspeech2_male', + voc= voc + '_male', + lang=lang, + use_onnx=use_onnx + ) + return wav_file + + assert am in ['tacotron2', 'fastspeech2'], "am must be 'tacotron2' or 'fastspeech2'" + + # 混合中文英文语音合成 + if lang == 'mix': + # mix只有fastspeech2 + am = 'fastspeech2_mix' + voc += '_csmsc' + # 英文语音合成 + elif lang == 'en': + am += '_ljspeech' + voc += '_ljspeech' + # 中文语音合成 + elif lang == 'zh': + assert voc in ['wavernn', 'pwgan', 'hifigan', 'style_melgan', 'mb_melgan'], "voc must be 'wavernn' or 'pwgan' or 'hifigan' or 'style_melgan' or 'mb_melgan'" + am += '_csmsc' + voc += '_csmsc' + elif lang == 'canton': + am = 'fastspeech2_canton' + voc = 'pwgan_aishell3' + spk_id = 10 + print("am:", am, "voc:", voc, "lang:", lang, "male:", male, "spk_id:", spk_id) + try: + cmd = f'paddlespeech tts --am {am} --voc {voc} --input "{text}" --output {save_path} --lang {lang} --spk_id {spk_id} --use_onnx {use_onnx}' + os.system(cmd) + wav_file = save_path + except: + # 语音合成 + wav_file = self.tts( + text = text, + output = save_path, + am = am, + voc = voc, + lang = lang, + spk_id = spk_id, + use_onnx=use_onnx + ) + return wav_file + +if __name__ == "__main__": + tts = PaddleTTS() + tts.predict("Hello world", 'FastSpeech2', 'PWGan', spk_id=174, lang='en', male=False, save_path='output.wav') \ No newline at end of file diff --git a/TTS/README.md b/TTS/README.md new file mode 100644 index 0000000000000000000000000000000000000000..6190c0d49fb0bc18ba398715ad7bdc3baf711909 --- /dev/null +++ b/TTS/README.md @@ -0,0 +1,232 @@ +# TTS 赋予数字人真实的语音交互能力 + +## Edge-TTS + +Edge-TTS是一个Python库，它使用微软的Azure Cognitive Services来实现文本到语音转换（TTS）。 + +该库提供了一个简单的API，可以将文本转换为语音，并且支持多种语言和声音。要使用Edge-TTS库，首先需要安装上Edge-TTS库，安装直接使用pip 进行安装即可。 + +```bash +pip install -U edge-tts +``` + +> 如果想更细究使用方式，可参考[https://github.com/rany2/edge-tts](https://github.com/rany2/edge-tts) + + + +根据源代码，我编写了一个 `EdgeTTS` 的类，能够更好的使用，并且增加了保存字幕文件的功能，能增加体验感 + +```python +class EdgeTTS: + def __init__(self, list_voices = False, proxy = None) -> None: + voices = list_voices_fn(proxy=proxy) + self.SUPPORTED_VOICE = [item['ShortName'] for item in voices] + self.SUPPORTED_VOICE.sort(reverse=True) + if list_voices: + print(", ".join(self.SUPPORTED_VOICE)) + + def preprocess(self, rate, volume, pitch): + if rate >= 0: + rate = f'+{rate}%' + else: + rate = f'{rate}%' + if pitch >= 0: + pitch = f'+{pitch}Hz' + else: + pitch = f'{pitch}Hz' + volume = 100 - volume + volume = f'-{volume}%' + return rate, volume, pitch + + def predict(self,TEXT, VOICE, RATE, VOLUME, PITCH, OUTPUT_FILE='result.wav', OUTPUT_SUBS='result.vtt', words_in_cue = 8): + async def amain() -> None: + """Main function""" + rate, volume, pitch = self.preprocess(rate = RATE, volume = VOLUME, pitch = PITCH) + communicate = Communicate(TEXT, VOICE, rate = rate, volume = volume, pitch = pitch) + subs: SubMaker = SubMaker() + sub_file: Union[TextIOWrapper, TextIO] = ( + open(OUTPUT_SUBS, "w", encoding="utf-8") + ) + async for chunk in communicate.stream(): + if chunk["type"] == "audio": + # audio_file.write(chunk["data"]) + pass + elif chunk["type"] == "WordBoundary": + # print((chunk["offset"], chunk["duration"]), chunk["text"]) + subs.create_sub((chunk["offset"], chunk["duration"]), chunk["text"]) + sub_file.write(subs.generate_subs(words_in_cue)) + await communicate.save(OUTPUT_FILE) + + + # loop = asyncio.get_event_loop_policy().get_event_loop() + # try: + # loop.run_until_complete(amain()) + # finally: + # loop.close() + asyncio.run(amain()) + with open(OUTPUT_SUBS, 'r', encoding='utf-8') as file: + vtt_lines = file.readlines() + + # 去掉每一行文字中的空格 + vtt_lines_without_spaces = [line.replace(" ", "") if "-->" not in line else line for line in vtt_lines] + # print(vtt_lines_without_spaces) + with open(OUTPUT_SUBS, 'w', encoding='utf-8') as output_file: + output_file.writelines(vtt_lines_without_spaces) + return OUTPUT_FILE, OUTPUT_SUBS +``` + + + +同时在`src`文件夹下，写了一个简易的`WebUI` + +```bash +python app.py +``` + +![TTS](../docs/TTS.png) + +## PaddleTTS + +在实际使用过程中，可能会遇到需要离线操作的情况。由于Edge TTS需要在线环境才能生成语音，因此我们选择了同样开源的PaddleSpeech作为文本到语音（TTS）的替代方案。虽然效果可能有所不同，但PaddleSpeech支持离线操作。更多信息可参考PaddleSpeech的GitHub页面：[PaddleSpeech](https://github.com/PaddlePaddle/PaddleSpeech)。 + +### 声码器说明 + +PaddleSpeech预置了三种声码器：【PWGan】【WaveRnn】【HifiGan】。这三种声码器在音质和生成速度上有较大差异，用户可根据需求进行选择。我们建议仅使用前两种声码器，因为WaveRNN的生成速度非常慢。 + +| 声码器 | 音频质量 | 生成速度 | +| :-----: | :------: | :----------------: | +| PWGan | 中等 | 中等 | +| WaveRnn | 高 | 非常慢（耐心等待） | +| HifiGan | 低 | 快 | + +### TTS数据集 + +PaddleSpeech中的样例主要按数据集分类，我们主要使用的TTS数据集有： + +- CSMCS（普通话单发音人） +- AISHELL3（普通话多发音人） +- LJSpeech（英文单发音人） +- VCTK（英文多发音人） + +### PaddleSpeech的TTS模型映射 + +PaddleSpeech的TTS模型与以下模型相对应： + +- tts0 - Tacotron2 +- tts1 - TransformerTTS +- tts2 - SpeedySpeech +- tts3 - FastSpeech2 +- voc0 - WaveFlow +- voc1 - Parallel WaveGAN +- voc2 - MelGAN +- voc3 - MultiBand MelGAN +- voc4 - Style MelGAN +- voc5 - HiFiGAN +- vc0 - Tacotron2 Voice Clone with GE2E +- vc1 - FastSpeech2 Voice Clone with GE2E + +### 预训练模型列表 + +以下是PaddleSpeech提供的可通过命令行和Python API使用的预训练模型列表： + +#### 声学模型 + +| 模型 | 语言 | +| :--------------------------- | :----: | +| speedyspeech_csmsc | zh | +| fastspeech2_csmsc | zh | +| fastspeech2_ljspeech | en | +| fastspeech2_aishell3 | zh | +| fastspeech2_vctk | en | +| fastspeech2_cnndecoder_csmsc | zh | +| fastspeech2_mix | mix | +| tacotron2_csmsc | zh | +| tacotron2_ljspeech | en | +| fastspeech2_male | zh | +| fastspeech2_male | en | +| fastspeech2_male | mix | +| fastspeech2_canton | canton | + +#### 声码器 + +| 模型 | 语言 | +| :----------------- | :--: | +| pwgan_csmsc | zh | +| pwgan_ljspeech | en | +| pwgan_aishell3 | zh | +| pwgan_vctk | en | +| mb_melgan_csmsc | zh | +| style_melgan_csmsc | zh | +| hifigan_csmsc | zh | +| hifigan_ljspeech | en | +| hifigan_aishell3 | zh | +| hifigan_vctk | en | +| wavernn_csmsc | zh | +| pwgan_male | zh | +| hifigan_male | zh | + +根据PaddleSpeech，我编写了一个 `PaddleTTS` 的类，能够更好的使用和运行结果 + +```python +class PaddleTTS: + def __init__(self) -> None: + pass + + def predict(self, text, am, voc, spk_id = 174, lang = 'zh', male=False, save_path = 'output.wav'): + self.tts = TTSExecutor() + + use_onnx = True + voc = voc.lower() + am = am.lower() + + if male: + assert voc in ["pwgan", "hifigan"], "male voc must be 'pwgan' or 'hifigan'" + wav_file = self.tts( + text = text, + output = save_path, + am='fastspeech2_male', + voc= voc + '_male', + lang=lang, + use_onnx=use_onnx + ) + return wav_file + + assert am in ['tacotron2', 'fastspeech2'], "am must be 'tacotron2' or 'fastspeech2'" + + # 混合中文英文语音合成 + if lang == 'mix': + # mix只有fastspeech2 + am = 'fastspeech2_mix' + voc += '_csmsc' + # 英文语音合成 + elif lang == 'en': + am += '_ljspeech' + voc += '_ljspeech' + # 中文语音合成 + elif lang == 'zh': + assert voc in ['wavernn', 'pwgan', 'hifigan', 'style_melgan', 'mb_melgan'], "voc must be 'wavernn' or 'pwgan' or 'hifigan' or 'style_melgan' or 'mb_melgan'" + am += '_csmsc' + voc += '_csmsc' + elif lang == 'canton': + am = 'fastspeech2_canton' + voc = 'pwgan_aishell3' + spk_id = 10 + print("am:", am, "voc:", voc, "lang:", lang, "male:", male, "spk_id:", spk_id) + try: + cmd = f'paddlespeech tts --am {am} --voc {voc} --input "{text}" --output {save_path} --lang {lang} --spk_id {spk_id} --use_onnx {use_onnx}' + os.system(cmd) + wav_file = save_path + except: + # 语音合成 + wav_file = self.tts( + text = text, + output = save_path, + am = am, + voc = voc, + lang = lang, + spk_id = spk_id, + use_onnx=use_onnx + ) + return wav_file +``` + diff --git a/TTS/XTTS.py b/TTS/XTTS.py new file mode 100644 index 0000000000000000000000000000000000000000..310b1bc05f61228e86f53c675540ae7805afe69c --- /dev/null +++ b/TTS/XTTS.py @@ -0,0 +1,27 @@ +import torch +import tempfile +from TTS.api import TTS + + +class XTTSTalker(): + def __init__(self) -> None: + model_list = TTS().list_models() + print(model_list) + # Get device + device = "cuda" if torch.cuda.is_available() else "cpu" + self.tts = TTS("tts_models/multilingual/multi-dataset/xtts_v1.1").to(device) + + def test(self, text, language='en'): + + tempf = tempfile.NamedTemporaryFile( + delete = False, + suffix = ('.'+'wav'), + ) + # wav = tts.tts(text="Hello world!", speaker_wav="my/cloning/audio.wav", language="en") + self.tts.tts_to_file(text, language=language, file_path="./speaker.wav") + + return tempf.name + +if __name__ == "__main__": + tts = XTTSTalker() + print(tts.test("Hello world!")) \ No newline at end of file diff --git a/TTS/__init__.py b/TTS/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..bcee1b0557f47d177dfa56e17f5a4d9a344fdcbb --- /dev/null +++ b/TTS/__init__.py @@ -0,0 +1,8 @@ +from .EdgeTTS import EdgeTTS + +try: + from .PaddleTTS import PaddleTTS +except Exception as e: + print("PaddleTTS Error: ", e) + print("如果使用PaddleTTS，请先安装PaddleTTS环境") + print("pip install -r requirements_paddle.txt") \ No newline at end of file diff --git a/TTS/edge_app.py b/TTS/edge_app.py new file mode 100644 index 0000000000000000000000000000000000000000..e376462bb7e3affe7e1525f5db4e81cc7d5e97ec --- /dev/null +++ b/TTS/edge_app.py @@ -0,0 +1,72 @@ +import librosa +import gradio as gr +from EdgeTTS import EdgeTTS +import os +title = "TTS WebUI" +tts = EdgeTTS() + +def generateAudio(text, voice, rate, volume, pitch): + audio_file, sub_file = tts.predict(text, voice, rate, volume, pitch, "output.wav", "output.srt") + print(text, audio_file, sub_file) + audio, sr = librosa.load(path=audio_file) + return gr.make_waveform( + audio=audio_file, + ),(sr, audio) + + +def main(): + with gr.Blocks(title=title) as demo: + with gr.Row(): + gr.HTML("

TTS WebUI

") + with gr.Row(): + with gr.Column(): + text = gr.Text(label = "Text to be spoken") + voice = gr.Dropdown(tts.SUPPORTED_VOICE, label="Voice to be used", value = 'zh-CN-XiaoxiaoNeural') + with gr.Accordion("Advanced Settings", + open=True, + visible=True) as parameter_article: + rate = gr.Slider(minimum=-100, + maximum=100, + value=0, + step=1.0, + label='Rate') + volume = gr.Slider(minimum=0, + maximum=100, + value=100, + step=1, + label='Volume') + pitch = gr.Slider(minimum=-100, + maximum=100, + value=0, + step=1, + label='Pitch') + + with gr.Column(): + video = gr.Video(label="Waveform Visual") + audio = gr.Audio(label = "Audio file") + + generate = gr.Button("Generate Audio", variant="primary") + generate.click(generateAudio, + inputs=[text, voice, rate, volume, pitch], + outputs=[video, audio], + ) + gr.Markdown("## Text Examples") + gr.Examples( + examples=[ + ['大家好，很高兴认识你们！','zh-CN-XiaoxiaoNeural'], + ['みなさん、こんにちは！お会いできて嬉しいです！','ja-JP-NanamiNeural'], + ['hello, Nice to meet you!','en-US-RogerNeural'] + ], + fn=generateAudio, + inputs=[text, voice], + outputs=[video, audio], + ) + return demo + +if __name__ == "__main__": + import argparse + parser = argparse.ArgumentParser() + parser.add_argument("--server_port", type=int, default=7860) + opt = parser.parse_args() + demo = main() + demo.launch(server_port=opt.server_port) \ No newline at end of file diff --git a/TTS/paddletts_app.py b/TTS/paddletts_app.py new file mode 100644 index 0000000000000000000000000000000000000000..4f953040a4dba35438e2b719196be4044753ebe3 --- /dev/null +++ b/TTS/paddletts_app.py @@ -0,0 +1,61 @@ +import librosa +import gradio as gr +from PaddleTTS import PaddleTTS +import os +os.environ["GRADIO_TEMP_DIR"]= './temp' +title = "PaddleTTS WebUI" +tts = PaddleTTS() + +def generateAudio(text, am = 'fastspeech2', voc = 'PWGan', lang = 'zh', male=False, spk_id = 174): + print("text:", text, "am:", am, "voc:", voc, "lang:", lang, "male:", male, "spk_id:", spk_id) + audio_file = tts.predict(text, am, voc, spk_id, lang, male) + audio, sr = librosa.load(path=audio_file) + return gr.make_waveform( + audio=audio_file, + ),(sr, audio) + + +def main(): + with gr.Blocks(title=title) as demo: + with gr.Row(): + gr.HTML("

PaddleTTS WebUI

") + with gr.Row(): + with gr.Column(): + text = gr.Text(label = "Text to be spoken") + am = gr.Dropdown(["FastSpeech2"], label="声学模型选择", value = 'FastSpeech2') + voc = gr.Dropdown(["PWGan", "HifiGan"], label="声码器选择", value = 'PWGan') + lang = gr.Dropdown(["zh", "en", "mix", "canton"], label="语言选择", value = 'zh') + male = gr.Checkbox(label="男声(Male)", value=False) + + with gr.Column(): + video = gr.Video(label="Waveform Visual") + audio = gr.Audio(label = "Audio file") + + generate = gr.Button("Generate Audio", variant="primary") + generate.click(generateAudio, + inputs=[text, am, voc, lang, male], + outputs=[video, audio], + ) + gr.Markdown("## Text Examples") + gr.Examples( + examples=[ + ["Hello World", "FastSpeech2", "PWGan", "en", False], + ["Hello World", "FastSpeech2", "PWGan", "en", True], + ["你好世界", "FastSpeech2", "PWGan", "zh", True], + ["你好世界", "FastSpeech2", "PWGan", "zh", False], + ["你好世界Hello World", "FastSpeech2", "PWGan", "mix", False], + ["你好世界", "FastSpeech2", "PWGan", "canton", False], + ], + fn=generateAudio, + inputs=[text, am, voc, lang, male], + outputs=[video, audio], + ) + return demo + +if __name__ == "__main__": + import argparse + parser = argparse.ArgumentParser() + parser.add_argument("--server_port", type=int, default=7860) + opt = parser.parse_args() + demo = main() + demo.launch(server_port=opt.server_port) \ No newline at end of file diff --git a/TTS/requirements_paddle.txt b/TTS/requirements_paddle.txt new file mode 100644 index 0000000000000000000000000000000000000000..e2c078cfa3ac5a7ba48bb641c5447dd64fea3ef8 --- /dev/null +++ b/TTS/requirements_paddle.txt @@ -0,0 +1,4 @@ +paddlepaddle==2.5.2 +paddlespeech==1.4.1 +opencc==1.1.1 +matplotlib==3.8.4 \ No newline at end of file diff --git a/VITS/CosyVoice.py b/VITS/CosyVoice.py new file mode 100644 index 0000000000000000000000000000000000000000..d25d039bffc227ecb1aae5c0f55c4ca5cbd26cc1 --- /dev/null +++ b/VITS/CosyVoice.py @@ -0,0 +1,66 @@ +import os, sys +sys.path.append('CosyVoice/third_party/Matcha-TTS') +sys.path.append('CosyVoice/') +import torch +from cosyvoice.cli.cosyvoice import CosyVoice +from cosyvoice.utils.file_utils import load_wav, speed_change +import librosa +import torchaudio + +class CosyVoiceTTS: + def __init__(self, model_path): + self.model_path = model_path + self.model = CosyVoice(model_path) + + # SFT usage + def predict_sft(self, text, spks, save_path='sft.wav', speed_factor = 1.0): + assert spks in self.model.list_avaliable_spks() and 'SFT' in self.model_path + output = self.model.inference_sft(text, spks) + if speed_factor != 1.0: + output['tts_speech'] = self.speed_change(output['tts_speech'], speed = speed_factor) + torchaudio.save(save_path, output['tts_speech'], 22050) + return save_path + + def predict_zero_shot(self, text, prompt_text, prompt_speech, save_path='zero_shot.wav', speed_factor = 1.0): + prompt_speech_16k = self.postprocess(load_wav(prompt_speech, 16000)) + output = self.model.inference_zero_shot(text, prompt_text, prompt_speech_16k) + if speed_factor != 1.0: + output['tts_speech'] = self.speed_change(output['tts_speech'], speed = speed_factor) + torchaudio.save(save_path, output['tts_speech'], 22050) + return save_path + + def predict_cross_lingual(self,prompt_text, prompt_speech, save_path='cross_lingual.wav', speed_factor = 1.0): + prompt_speech_16k = self.postprocess(load_wav(prompt_speech, 16000)) + output = self.model.inference_cross_lingual(prompt_text, prompt_speech_16k) + if speed_factor != 1.0: + output['tts_speech'] = self.speed_change(output['tts_speech'], speed = speed_factor) + torchaudio.save(save_path, output['tts_speech'], 22050) + return save_path + + def speed_change(self, wav, target_sr = 22050, speed=1.0): + return speed_change(wav, target_sr, str(speed)) + + + def postprocess(self, speech, top_db=60, hop_length=220, win_length=440, target_sr=22050): + max_val = 0.8 + speech, _ = librosa.effects.trim( + speech, top_db=top_db, + frame_length=win_length, + hop_length=hop_length + ) + if speech.abs().max() > max_val: + speech = speech / speech.abs().max() * max_val + speech = torch.concat([speech, torch.zeros(1, int(target_sr * 0.2))], dim=1) + return speech + +if __name__ == "__main__": + # SFT model example + cosyvoice_sft = CosyVoiceTTS('checkpoints/CosyVoice_ckpt/CosyVoice-300M-SFT') + print(cosyvoice_sft.model.list_avaliable_spks()) + cosyvoice_sft.predict_sft('你好，我是通义生成式语音大模型，请问有什么可以帮您的吗？', '中文女', save_path='sft_output.wav') + + # Zero-shot model example + cosyvoice_zero_shot = CosyVoiceTTS('checkpoints/CosyVoice_ckpt/CosyVoice-300M') + prompt_speech = 'zero_shot_prompt.wav' + cosyvoice_zero_shot.predict_zero_shot('收到好友从远方寄来的生日礼物，那份意外的惊喜与深深的祝福让我心中充满了甜蜜的快乐，笑容如花儿般绽放。', '希望你以后能够做的比我还好呦。', + prompt_speech, save_path='zero_shot_output.wav') \ No newline at end of file diff --git a/VITS/GPT_SoVITS.py b/VITS/GPT_SoVITS.py new file mode 100644 index 0000000000000000000000000000000000000000..99963a361033249e9cad2c1882b410f0c57bac7e --- /dev/null +++ b/VITS/GPT_SoVITS.py @@ -0,0 +1,503 @@ +import LangSegment +import numpy as np +import librosa +import torch +import re, os +import librosa +from transformers import AutoModelForMaskedLM, AutoTokenizer +import sys +sys.path.append('GPT_SoVITS/') +from text import cleaned_text_to_sequence +from text.cleaner import clean_text +from feature_extractor import cnhubert +from my_utils import load_audio +from module.mel_processing import spectrogram_torch +from module.models import SynthesizerTrn +from AR.models.t2s_lightning_module import Text2SemanticLightningModule +from scipy.io.wavfile import write +from time import time as ttime + +if torch.cuda.is_available(): + device = "cuda" +elif torch.backends.mps.is_available(): + device = "mps" +else: + device = "cpu" + +is_half = True +splits = {"，", "。", "？", "！", ",", ".", "?", "!", "~", ":", "：", "—", "…", } +if device == "cuda": + gpu_name = torch.cuda.get_device_name(0) + if ( + ("16" in gpu_name and "V100" not in gpu_name.upper()) + or "P40" in gpu_name.upper() + or "P10" in gpu_name.upper() + or "1060" in gpu_name + or "1070" in gpu_name + or "1080" in gpu_name + ): + is_half=False + +if device=="cpu": + is_half=False + +dtype=torch.float16 if is_half == True else torch.float32 +bert_path = os.environ.get( + "bert_path", "GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large" +) +cnhubert_base_path = os.environ.get( + "cnhubert_base_path", "GPT_SoVITS/pretrained_models/chinese-hubert-base" +) +cnhubert.cnhubert_base_path = cnhubert_base_path + +tokenizer = AutoTokenizer.from_pretrained(bert_path) +bert_model = AutoModelForMaskedLM.from_pretrained(bert_path) + +if is_half == True: + bert_model = bert_model.half().to(device) +else: + bert_model = bert_model.to(device) + +ssl_model = cnhubert.get_model() +if is_half == True: + ssl_model = ssl_model.half().to(device) +else: + ssl_model = ssl_model.to(device) + +def get_spepc(hps, filename): + audio = load_audio(filename, int(hps.data.sampling_rate)) + audio = torch.FloatTensor(audio) + audio_norm = audio + audio_norm = audio_norm.unsqueeze(0) + spec = spectrogram_torch( + audio_norm, + hps.data.filter_length, + hps.data.sampling_rate, + hps.data.hop_length, + hps.data.win_length, + center=False, + ) + return spec + +def get_bert_feature(text, word2ph): + with torch.no_grad(): + inputs = tokenizer(text, return_tensors="pt") + for i in inputs: + inputs[i] = inputs[i].to(device) + res = bert_model(**inputs, output_hidden_states=True) + res = torch.cat(res["hidden_states"][-3:-2], -1)[0].cpu()[1:-1] + assert len(word2ph) == len(text) + phone_level_feature = [] + for i in range(len(word2ph)): + repeat_feature = res[i].repeat(word2ph[i], 1) + phone_level_feature.append(repeat_feature) + phone_level_feature = torch.cat(phone_level_feature, dim=0) + return phone_level_feature.T + +class DictToAttrRecursive(dict): + def __init__(self, input_dict): + super().__init__(input_dict) + for key, value in input_dict.items(): + if isinstance(value, dict): + value = DictToAttrRecursive(value) + self[key] = value + setattr(self, key, value) + + def __getattr__(self, item): + try: + return self[item] + except KeyError: + raise AttributeError(f"Attribute {item} not found") + + def __setattr__(self, key, value): + if isinstance(value, dict): + value = DictToAttrRecursive(value) + super(DictToAttrRecursive, self).__setitem__(key, value) + super().__setattr__(key, value) + + def __delattr__(self, item): + try: + del self[item] + except KeyError: + raise AttributeError(f"Attribute {item} not found") + +def clean_text_inf(text, language): + phones, word2ph, norm_text = clean_text(text, language.replace("all_","")) + phones = cleaned_text_to_sequence(phones) + return phones, word2ph, norm_text + +def get_bert_inf(phones, word2ph, norm_text, language): + language=language.replace("all_","") + if language == "zh": + bert = get_bert_feature(norm_text, word2ph).to(device)#.to(dtype) + else: + bert = torch.zeros( + (1024, len(phones)), + dtype=torch.float16 if is_half == True else torch.float32, + ).to(device) + + return bert + +def splite_en_inf(sentence, language): + pattern = re.compile(r'[a-zA-Z ]+') + textlist = [] + langlist = [] + pos = 0 + for match in pattern.finditer(sentence): + start, end = match.span() + if start > pos: + textlist.append(sentence[pos:start]) + langlist.append(language) + textlist.append(sentence[start:end]) + langlist.append("en") + pos = end + if pos < len(sentence): + textlist.append(sentence[pos:]) + langlist.append(language) + # Merge punctuation into previous word + for i in range(len(textlist)-1, 0, -1): + if re.match(r'^[\W_]+$', textlist[i]): + textlist[i-1] += textlist[i] + del textlist[i] + del langlist[i] + # Merge consecutive words with the same language tag + i = 0 + while i < len(langlist) - 1: + if langlist[i] == langlist[i+1]: + textlist[i] += textlist[i+1] + del textlist[i+1] + del langlist[i+1] + else: + i += 1 + + return textlist, langlist + +def nonen_clean_text_inf(text, language): + if(language!="auto"): + textlist, langlist = splite_en_inf(text, language) + else: + textlist=[] + langlist=[] + for tmp in LangSegment.getTexts(text): + langlist.append(tmp["lang"]) + textlist.append(tmp["text"]) + print(textlist) + print(langlist) + phones_list = [] + word2ph_list = [] + norm_text_list = [] + for i in range(len(textlist)): + lang = langlist[i] + phones, word2ph, norm_text = clean_text_inf(textlist[i], lang) + phones_list.append(phones) + if lang == "zh": + word2ph_list.append(word2ph) + norm_text_list.append(norm_text) + print(word2ph_list) + phones = sum(phones_list, []) + word2ph = sum(word2ph_list, []) + norm_text = ' '.join(norm_text_list) + + return phones, word2ph, norm_text + +def nonen_get_bert_inf(text, language): + if(language!="auto"): + textlist, langlist = splite_en_inf(text, language) + else: + textlist=[] + langlist=[] + for tmp in LangSegment.getTexts(text): + langlist.append(tmp["lang"]) + textlist.append(tmp["text"]) + print(textlist) + print(langlist) + bert_list = [] + for i in range(len(textlist)): + text = textlist[i] + lang = langlist[i] + phones, word2ph, norm_text = clean_text_inf(text, lang) + bert = get_bert_inf(phones, word2ph, norm_text, lang) + bert_list.append(bert) + bert = torch.cat(bert_list, dim=1) + + return bert + +def get_first(text): + pattern = "[" + "".join(re.escape(sep) for sep in splits) + "]" + text = re.split(pattern, text)[0].strip() + return text + +def get_cleaned_text_fianl(text,language): + if language in {"en","all_zh","all_ja"}: + phones, word2ph, norm_text = clean_text_inf(text, language) + elif language in {"zh", "ja","auto"}: + phones, word2ph, norm_text = nonen_clean_text_inf(text, language) + return phones, word2ph, norm_text + +def get_bert_final(phones, word2ph, norm_text, text_language, device, text): + if text_language == "en": + bert = get_bert_inf(phones, word2ph, norm_text, text_language) + elif text_language in {"zh", "ja","auto"}: + bert = nonen_get_bert_inf(text, text_language) + elif text_language == "all_zh": + bert = get_bert_feature(norm_text, word2ph).to(device) + else: + bert = torch.zeros((1024, len(phones))).to(device) + return bert + +def split(todo_text): + todo_text = todo_text.replace("……", "。").replace("——", "，") + if todo_text[-1] not in splits: + todo_text += "。" + i_split_head = i_split_tail = 0 + len_text = len(todo_text) + todo_texts = [] + while 1: + if i_split_head >= len_text: + break # 结尾一定有标点，所以直接跳出即可，最后一段在上次已加入 + if todo_text[i_split_head] in splits: + i_split_head += 1 + todo_texts.append(todo_text[i_split_tail:i_split_head]) + i_split_tail = i_split_head + else: + i_split_head += 1 + return todo_texts + +def cut1(inp): + inp = inp.strip("\n") + inps = split(inp) + split_idx = list(range(0, len(inps), 4)) + split_idx[-1] = None + if len(split_idx) > 1: + opts = [] + for idx in range(len(split_idx) - 1): + opts.append("".join(inps[split_idx[idx]: split_idx[idx + 1]])) + else: + opts = [inp] + return "\n".join(opts) + +def cut2(inp): + inp = inp.strip("\n") + inps = split(inp) + if len(inps) < 2: + return inp + opts = [] + summ = 0 + tmp_str = "" + for i in range(len(inps)): + summ += len(inps[i]) + tmp_str += inps[i] + if summ > 50: + summ = 0 + opts.append(tmp_str) + tmp_str = "" + if tmp_str != "": + opts.append(tmp_str) + # print(opts) + if len(opts) > 1 and len(opts[-1]) < 50: ##如果最后一个太短了，和前一个合一起 + opts[-2] = opts[-2] + opts[-1] + opts = opts[:-1] + return "\n".join(opts) + +def cut3(inp): + inp = inp.strip("\n") + return "\n".join(["%s" % item for item in inp.strip("。").split("。")]) + +def cut4(inp): + inp = inp.strip("\n") + return "\n".join(["%s" % item for item in inp.strip(".").split(".")]) + +# contributed by https://github.com/AI-Hobbyist/GPT-SoVITS/blob/main/GPT_SoVITS/inference_webui.py +def cut5(inp): + # if not re.search(r'[^\w\s]', inp[-1]): + # inp += '。' + inp = inp.strip("\n") + punds = r'[,.;?!、，。？！;：]' + items = re.split(f'({punds})', inp) + items = ["".join(group) for group in zip(items[::2], items[1::2])] + opt = "\n".join(items) + return opt + +class GPT_SoVITS: + def __init__(self): + self.model = None + # is_half = True + # device = "cuda" if torch.cuda.is_available() else "cpu" + + def load_model(self, gpt_path, sovits_path): + self.hz = 50 + dict_s1 = torch.load(gpt_path, map_location="cpu") + self.config = dict_s1["config"] + self.max_sec = self.config["data"]["max_sec"] + t2s_model = Text2SemanticLightningModule(self.config, "****", is_train=False) + t2s_model.load_state_dict(dict_s1["weight"]) + if is_half == True: + t2s_model = t2s_model.half() + self.t2s_model = t2s_model.to(device) + self.t2s_model.eval() + total = sum([param.nelement() for param in t2s_model.parameters()]) + print("Number of parameter: %.2fM" % (total / 1e6)) + + dict_s2 = torch.load(sovits_path, map_location="cpu") + self.hps = dict_s2["config"] + self.hps = DictToAttrRecursive(self.hps) + self.hps.model.semantic_frame_rate = "25hz" + vq_model = SynthesizerTrn( + self.hps.data.filter_length // 2 + 1, + self.hps.train.segment_size // self.hps.data.hop_length, + n_speakers=self.hps.data.n_speakers, + **self.hps.model + ) + if ("pretrained" not in sovits_path): + del vq_model.enc_q + if is_half == True: + self.vq_model = vq_model.half().to(device) + else: + self.vq_model = vq_model.to(device) + self.vq_model.eval() + print(self.vq_model.load_state_dict(dict_s2["weight"], strict=False)) + + def predict(self, ref_wav_path, prompt_text, prompt_language, text, text_language, how_to_cut="不切", save_path = 'vits_res.wav'): + print(ref_wav_path, prompt_text, prompt_language, text, text_language, how_to_cut) + return self.get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language, how_to_cut, save_path) + + def get_tts_wav(self, ref_wav_path, prompt_text, prompt_language, text, text_language, how_to_cut="不切", save_path = 'vits_res.wav'): + t0 = ttime() + prompt_text = prompt_text.strip("\n") + if (prompt_text[-1] not in splits): prompt_text += "。" if prompt_language != "en" else "." + text = text.strip("\n") + if (text[0] not in splits and len(get_first(text)) < 4): text = "。" + text if text_language != "en" else "." + text + print("实际输入的参考文本:", prompt_text) + print("实际输入的目标文本:", text) + zero_wav = np.zeros( + int(self.hps.data.sampling_rate * 0.3), + dtype=np.float16 if is_half == True else np.float32, + ) + with torch.no_grad(): + wav16k, sr = librosa.load(ref_wav_path, sr=16000) + if (wav16k.shape[0] > 160000 or wav16k.shape[0] < 48000): + raise OSError("参考音频在3~10秒范围外，请更换！") + wav16k = torch.from_numpy(wav16k) + zero_wav_torch = torch.from_numpy(zero_wav) + if is_half == True: + wav16k = wav16k.half().to(device) + zero_wav_torch = zero_wav_torch.half().to(device) + else: + wav16k = wav16k.to(device) + zero_wav_torch = zero_wav_torch.to(device) + wav16k = torch.cat([wav16k, zero_wav_torch]) + ssl_content = ssl_model.model(wav16k.unsqueeze(0))[ + "last_hidden_state" + ].transpose( + 1, 2 + ) # .float() + codes = self.vq_model.extract_latent(ssl_content) + prompt_semantic = codes[0, 0] + t1 = ttime() + + dict_language = { + "中文": "all_zh",#全部按中文识别 + "英文": "en",#全部按英文识别#######不变 + "日文": "all_ja",#全部按日文识别 + "中英混合": "zh",#按中英混合识别####不变 + "日英混合": "ja",#按日英混合识别####不变 + "多语种混合": "auto",#多语种启动切分识别语种 + } + prompt_language = dict_language[prompt_language] + text_language = dict_language[text_language] + + phones1, word2ph1, norm_text1=get_cleaned_text_fianl(prompt_text, prompt_language) + + if (how_to_cut == "凑四句一切"): + text = cut1(text) + elif (how_to_cut == "凑50字一切"): + text = cut2(text) + elif (how_to_cut == "按中文句号。切"): + text = cut3(text) + elif (how_to_cut == "按英文句号.切"): + text = cut4(text) + elif (how_to_cut == "按标点符号切"): + text = cut5(text) + text = text.replace("\n\n", "\n").replace("\n\n", "\n").replace("\n\n", "\n") + print("实际输入的目标文本(切句后):", text) + texts = text.split("\n") + audio_opt = [] + bert1=get_bert_final(phones1, word2ph1, norm_text1, prompt_language, device, text).to(dtype) + + for text in texts: + # 解决输入目标文本的空行导致报错的问题 + if (len(text.strip()) == 0): + continue + if (text[-1] not in splits): text += "。" if text_language != "en" else "." + print("实际输入的目标文本(每句):", text) + phones2, word2ph2, norm_text2 = get_cleaned_text_fianl(text, text_language) + bert2 = get_bert_final(phones2, word2ph2, norm_text2, text_language, device, text).to(dtype) + + bert = torch.cat([bert1, bert2], 1) + + all_phoneme_ids = torch.LongTensor(phones1 + phones2).to(device).unsqueeze(0) + bert = bert.to(device).unsqueeze(0) + all_phoneme_len = torch.tensor([all_phoneme_ids.shape[-1]]).to(device) + prompt = prompt_semantic.unsqueeze(0).to(device) + t2 = ttime() + with torch.no_grad(): + # pred_semantic = t2s_model.model.infer( + pred_semantic, idx = self.t2s_model.model.infer_panel( + all_phoneme_ids, + all_phoneme_len, + prompt, + bert, + # prompt_phone_len=ph_offset, + top_k=self.config["inference"]["top_k"], + early_stop_num=self.hz * self.max_sec, + ) + t3 = ttime() + # print(pred_semantic.shape,idx) + pred_semantic = pred_semantic[:, -idx:].unsqueeze( + 0 + ) # .unsqueeze(0)#mq要多unsqueeze一次 + refer = get_spepc(self.hps, ref_wav_path) # .to(device) + if is_half == True: + refer = refer.half().to(device) + else: + refer = refer.to(device) + # audio = vq_model.decode(pred_semantic, all_phoneme_ids, refer).detach().cpu().numpy()[0, 0] + audio = ( + self.vq_model.decode( + pred_semantic, torch.LongTensor(phones2).to(device).unsqueeze(0), refer + ) + .detach() + .cpu() + .numpy()[0, 0] + ) ###试试重建不带上prompt部分 + max_audio=np.abs(audio).max()#简单防止16bit爆音 + if max_audio>1:audio/=max_audio + audio_opt.append(audio) + audio_opt.append(zero_wav) + t4 = ttime() + print("%.3f\t%.3f\t%.3f\t%.3f" % (t1 - t0, t2 - t1, t3 - t2, t4 - t3)) + print("%.3f\t%.3f\t%.3f\t%.3f" % (t1 - t0, t2 - t1, t3 - t2, t4 - t3)) + # yield self.hps.data.sampling_rate, (np.concatenate(audio_opt, 0) * 32768).astype( + # np.int16 + # ) + write(save_path, self.hps.data.sampling_rate, (np.concatenate(audio_opt, 0) * 32768).astype(np.int16)) + return save_path +if __name__ == "__main__": + GPT_SoVITS_inference = GPT_SoVITS() + gpt_path = "GPT_SoVITS/pretrained_models/Gnews-e15.ckpt" + sovits_path = "GPT_SoVITS/pretrained_models/Gnews_e8_s96.pth" + GPT_SoVITS_inference.load_model(gpt_path, sovits_path) + ref_wav_path = "GPT_SoVITS/reference_wav/Gnews/Gnews.mp3_0000270720_0000424960.wav" + # 参考音频的文本 + from ASR import WhisperASR, FunASR + asr = FunASR() + prompt_text = "" + prompt_text = asr.transcribe(ref_wav_path) + prompt_language = "中文" + text = "大家好，这是我语音克隆的声音，本软件以MIT协议开源, 作者不对软件具备任何控制力, 使用软件者、传播软件导出的声音者自负全责.如不认可该条款, 则不能使用或引用软件包内任何代码和文件. 详见根目录LICENSE." + text_language = "中英混合" + how_to_cut = "不切" # ["不切", "凑四句一切", "凑50字一切", "按中文句号。切", "按英文句号.切", "按标点符号切"] + print("参考音频文本：", prompt_text) + print("目标文本：", text) + save_audio_file = "./result.wav" + GPT_SoVITS_inference.predict(ref_wav_path, prompt_text, prompt_language, text, text_language, how_to_cut, save_audio_file) \ No newline at end of file diff --git a/VITS/README.md b/VITS/README.md new file mode 100644 index 0000000000000000000000000000000000000000..cbcb97b0183b5e639fd399e87d8f90ed364c37cf --- /dev/null +++ b/VITS/README.md @@ -0,0 +1,66 @@ +## Voice Clone 在对话时悄悄偷走你的声音 + +### GPT-SoVITS（推荐） + +感谢大家的开源贡献，我借鉴了当前开源的语音克隆模型 `GPT-SoVITS`，我认为效果是相当不错的，项目地址可参考[https://github.com/RVC-Boss/GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS) + +他有以下功能： + +1. **零样本文本到语音（TTS）：** 输入 5 秒的声音样本，即刻体验文本到语音转换。 +2. **少样本 TTS：** 仅需 1 分钟的训练数据即可微调模型，提升声音相似度和真实感。 +3. **跨语言支持：** 支持与训练数据集不同语言的推理，目前支持英语、日语和中文。 +4. **WebUI 工具：** 集成工具包括声音伴奏分离、自动训练集分割、中文自动语音识别(ASR)和文本标注，协助初学者创建训练数据集和 GPT/SoVITS 模型。 + +之前很多方法都是少样本，比如`OpenVoice`和`XTTS`，我之前也想着使用他们来进行实现语音克隆部分，但是很遗憾的是，并没有感觉有很好的效果，其实`XTTS`还是不错的，如果我们简单用麦克风🎤说几句话作为参考来进行克隆，我觉得效果还是可以的。 + +但是如果遇到比较高的要求，我觉得可能就需要更好的模型，并且成本也要打压下来，所以我就看到了这个`GPT-SoVITS`，我觉得这个模型是相当厉害的，少样本的TTS能做，也能做跨语言支持，这样我们很有可能就可以体验到奥巴马讲中文之类的，这样就可以完成视频翻译的一些任务了，所以我是很推崇这样的简单微调，效果又好的方法的。 + +**为了尊重作者，我并没有把`GPT-SoVITS`的全套代码搬过来，我写了一个关于语音克隆的类，大家可以将训练好的模型参数中，就可以在本项目使用经过语音克隆后的TTS了，希望大家玩的开心，玩的愉快。** + + + +> 如果使用语音克隆模型，可能需要python为3.10，pytorch为2.1左右可能比较好，我的环境已经测试过了，简单来说，先安装GPT-SoVITS的环境，再直接pip intsall -r requirements_app.txt即可使用 +> +> 除此之外，还需要根据原作者的说明放入对应路径，我的预训练模型和存放位置已给出，可参考[https://huggingface.co/Kedreamix/Linly-Talker](https://huggingface.co/Kedreamix/Linly-Talker) + +```python +pip install torch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 --index-url https://download.pytorch.org/whl/cu118 +# 安装对应的依赖 +pip install -r VITS/requirements_gptsovits.txt + +# 启动如下的WebUI界面 +python VITS/app.py +``` + +![](../docs/GPT-SoVITS.png) + +### Coqui XTTS + +Coqui XTTS是一个领先的深度学习文本到语音任务（TTS语音生成模型）工具包，通过使用一段5秒钟以上的语音频剪辑就可以完成声音克隆*将语音克隆到不同的语言*。支持多种语言文本到语音转换，使其成为国际化应用的理想选择，这一特点特别适用于全球化的市场，其中需要生成多种语言的语音内容。所以在实验过程中，我也加入了这一部分，不过暂时使用的是默认的模型，并没有进行微调，个人认为是没有GPT-SoVITS经过微调后好的，但是其中的少样本五秒钟克隆语音还是值得称赞的。大家也可以在官方的在线体验，但是官方的可能会有生成语音限制，文字不能太长，但是还是足够我们体验了。 + +🐸TTS 是一个用于高级文本转语音生成的库。 + +🚀 超过 1100 种语言的预训练模型。 + +🛠️ 用于以任何语言训练新模型和微调现有模型的工具。 + +📚 用于数据集分析和管理的实用程序。 + +- 在线体验XTTS [https://huggingface.co/spaces/coqui/xtts](https://huggingface.co/spaces/coqui/xtts) +- 官方Github库 https://github.com/coqui-ai/TTS + +XTTS的环境也需要PyTorch 2.1所以，如果下载了GPT-SoVITS，也不妨体验一下XTTS的效果。 + +```bash +pip install torch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 --index-url https://download.pytorch.org/whl/cu118 + +# 安装对应的依赖 +pip install -r VITS/requirements_xtts.txt + +# 启动如下的WebUI界面 +python VITS/XTTS.py +``` + +![](../docs/XTTS.png) + + diff --git a/VITS/XTTS.py b/VITS/XTTS.py new file mode 100644 index 0000000000000000000000000000000000000000..967d504da0bfcb695d8e134e203dc6f3cee95ab2 --- /dev/null +++ b/VITS/XTTS.py @@ -0,0 +1,413 @@ + +import os +import subprocess +import uuid +import time +import torch +import torchaudio + +# langid is used to detect language for longer text +# Most users expect text to be their own language, there is checkbox to disable it +import langid +import re +import gradio as gr +from TTS.tts.configs.xtts_config import XttsConfig +from TTS.tts.models.xtts import Xtts +from TTS.utils.generic_utils import get_user_data_dir + +class XTTS(): + def __init__(self): + model_name = "tts_models/multilingual/multi-dataset/xtts_v2" + # ModelManager().download_model(model_name) + model_path = os.path.join(get_user_data_dir("tts"), model_name.replace("/", "--")) + # print("XTTS downloaded") + + config = XttsConfig() + config.load_json(os.path.join(model_path, "config.json")) + + self.model = Xtts.init_from_config(config) + self.model.load_checkpoint( + config, + checkpoint_path=os.path.join(model_path, "model.pth"), + vocab_path=os.path.join(model_path, "vocab.json"), + eval=True, + use_deepspeed=True, + ) + self.model.cuda() + + self.supported_languages = config.languages + + def predict(self, + prompt, + language, + audio_file_pth, + voice_cleanup, + ): + # 模型不支持语言 + if language not in self.supported_languages: + gr.Warning( + f"Language you put {language} in is not in is not in our Supported Languages, please choose from dropdown" + ) + + return ( + None, + None, + None, + None, + ) + + language_predicted = langid.classify(prompt)[ + 0 + ].strip() # strip need as there is space at end! + + # tts expects chinese as zh-cn + if language_predicted == "zh": + # we use zh-cn + language_predicted = "zh-cn" + + print(f"Detected language:{language_predicted}, Chosen language:{language}") + + speaker_wav = audio_file_pth + + # Filtering for microphone input, as it has BG noise, maybe silence in beginning and end + # This is fast filtering not perfect + + # Apply all on demand + lowpassfilter = denoise = trim = loudness = True + + if lowpassfilter: + lowpass_highpass = "lowpass=8000,highpass=75," + else: + lowpass_highpass = "" + + if trim: + # better to remove silence in beginning and end for microphone + trim_silence = "areverse,silenceremove=start_periods=1:start_silence=0:start_threshold=0.02,areverse,silenceremove=start_periods=1:start_silence=0:start_threshold=0.02," + else: + trim_silence = "" + + if voice_cleanup: + try: + out_filename = ( + speaker_wav + str(uuid.uuid4()) + ".wav" + ) # ffmpeg to know output format + + # we will use newer ffmpeg as that has afftn denoise filter + shell_command = f"ffmpeg -y -i {speaker_wav} -af {lowpass_highpass}{trim_silence} {out_filename}".split( + " " + ) + + command_result = subprocess.run( + [item for item in shell_command], + capture_output=False, + text=True, + check=True, + ) + speaker_wav = out_filename + print("Filtered microphone input") + except subprocess.CalledProcessError: + # There was an error - command exited with non-zero code + print("Error: failed filtering, use original microphone input") + else: + speaker_wav = speaker_wav + + if len(prompt) < 2: + gr.Warning("Please give a longer prompt text") + return ( + None, + None, + None, + None, + ) + + metrics_text = "" + t_latent = time.time() + + # note diffusion_conditioning not used on hifigan (default mode), it will be empty but need to pass it to model.inference + try: + ( + gpt_cond_latent, + speaker_embedding, + ) = self.model.get_conditioning_latents(audio_path=speaker_wav, gpt_cond_len=30, gpt_cond_chunk_len=4, max_ref_length=60) + except Exception as e: + print("Speaker encoding error", str(e)) + gr.Warning( + "It appears something wrong with reference, did you unmute your microphone?" + ) + return ( + None, + None, + None, + ) + + latent_calculation_time = time.time() - t_latent + # metrics_text=f"Embedding calculation time: {latent_calculation_time:.2f} seconds\n" + + # temporary comma fix + prompt= re.sub("([^\x00-\x7F]|\w)(\.|\。|\?)",r"\1 \2\2",prompt) + + wav_chunks = [] + ## Direct mode + + print("I: Generating new audio...") + t0 = time.time() + out = self.model.inference( + prompt, + language, + gpt_cond_latent, + speaker_embedding, + repetition_penalty=5.0, + temperature=0.75, + ) + inference_time = time.time() - t0 + print(f"I: Time to generate audio: {round(inference_time*1000)} milliseconds") + metrics_text+=f"Time to generate audio: {round(inference_time*1000)} milliseconds\n" + real_time_factor= (time.time() - t0) / out['wav'].shape[-1] * 24000 + print(f"Real-time factor (RTF): {real_time_factor}") + metrics_text+=f"Real-time factor (RTF): {real_time_factor:.2f}\n" + torchaudio.save("output.wav", torch.tensor(out["wav"]).unsqueeze(0), 24000) + return ( + "output.wav", + metrics_text, + speaker_wav, + ) + +title = "语音克隆 Coqui🐸 XTTS" + +examples = [ + [ + "Once when I was six years old I saw a magnificent picture", + "en", + "examples/female.wav", + None, + False, + False, + False, + True, + ], + [ + "Lorsque j'avais six ans j'ai vu, une fois, une magnifique image", + "fr", + "examples/male.wav", + None, + False, + False, + False, + True, + ], + [ + "Als ich sechs war, sah ich einmal ein wunderbares Bild", + "de", + "examples/female.wav", + None, + False, + False, + False, + True, + ], + [ + "Cuando tenía seis años, vi una vez una imagen magnífica", + "es", + "examples/male.wav", + None, + False, + False, + False, + True, + ], + [ + "Quando eu tinha seis anos eu vi, uma vez, uma imagem magnífica", + "pt", + "examples/female.wav", + None, + False, + False, + False, + True, + ], + [ + "Kiedy miałem sześć lat, zobaczyłem pewnego razu wspaniały obrazek", + "pl", + "examples/male.wav", + None, + False, + False, + False, + True, + ], + [ + "Un tempo lontano, quando avevo sei anni, vidi un magnifico disegno", + "it", + "examples/female.wav", + None, + False, + False, + False, + True, + ], + [ + "Bir zamanlar, altı yaşındayken, muhteşem bir resim gördüm", + "tr", + "examples/female.wav", + None, + False, + False, + False, + True, + ], + [ + "Когда мне было шесть лет, я увидел однажды удивительную картинку", + "ru", + "examples/female.wav", + None, + False, + False, + False, + True, + ], + [ + "Toen ik een jaar of zes was, zag ik op een keer een prachtige plaat", + "nl", + "examples/male.wav", + None, + False, + False, + False, + True, + ], + [ + "Když mi bylo šest let, viděl jsem jednou nádherný obrázek", + "cs", + "examples/female.wav", + None, + False, + False, + False, + True, + ], + [ + "当我还只有六岁的时候， 看到了一副精彩的插画", + "zh-cn", + "examples/female.wav", + None, + False, + False, + False, + True, + ], + [ + "かつて 六歳のとき、素晴らしい絵を見ました", + "ja", + "examples/female.wav", + None, + False, + True, + False, + True, + ], + [ + "한번은 내가 여섯 살이었을 때 멋진 그림을 보았습니다.", + "ko", + "examples/female.wav", + None, + False, + True, + False, + True, + ], + [ + "Egyszer hat éves koromban láttam egy csodálatos képet", + "hu", + "examples/male.wav", + None, + False, + True, + False, + True, + ], +] + + + +def main(): + with gr.Blocks(analytics_enabled=False) as demo: + with gr.Row(): + with gr.Column(): + gr.Markdown( + """ + ## 语音克隆 (Coqui TTS) + """ + ) + with gr.Column(): + # 用于对齐图像的占位符 + pass + + with gr.Row(): + with gr.Column(): + gr.Markdown("文本提示: 一次一两个句子最好。最多200个文本字符。") + with gr.Column(): + gr.Markdown("语言: 选择用于合成语音的输出语言。") + + with gr.Row(): + with gr.Column(): + input_text_gr = gr.Textbox( + label="文本提示", + info="一次一两个句子最好。最多200个文本字符。", + value="嗨，我是你的新语音克隆。请尽量上传高质量的音频。", + ) + language_gr = gr.Dropdown( + label="语言", + info="选择用于合成语音的输出语言", + choices=[ + "en", + "es", + "fr", + "de", + "it", + "pt", + "pl", + "tr", + "ru", + "nl", + "cs", + "ar", + "zh-cn", + "ja", + "ko", + "hu", + "hi" + ], + max_choices=1, + value="en", + ) + ref_gr = gr.Audio( + label="参考音频", + type="filepath", + value="examples/female.wav", + sources=["microphone", "upload"], + ) + clean_ref_gr = gr.Checkbox( + label="清理参考语音", + value=False, + info="如果您的麦克风或参考语音有噪音，此选项可以改善输出。", + ) + tts_button = gr.Button("发送", elem_id="send-btn", visible=True) + + + with gr.Column(): + audio_gr = gr.Audio(label="合成音频", autoplay=True) + out_text_gr = gr.Text(label="指标") + ref_audio_gr = gr.Audio(label="使用的参考音频") + with gr.Row(): + gr.Examples(examples, + label="示例", + inputs=[input_text_gr, language_gr, ref_gr, clean_ref_gr], + outputs=[audio_gr, out_text_gr, ref_audio_gr], + fn=XTTS().predict, + cache_examples=False,) + tts_button.click(XTTS().predict, [input_text_gr, language_gr, ref_gr, clean_ref_gr], outputs=[audio_gr, out_text_gr, ref_audio_gr]) + return demo + +if __name__ == "__main__": + demo = main() + demo.launch() \ No newline at end of file diff --git a/VITS/__init__.py b/VITS/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..5fb3cb9d99d9c692c36235a4e6dcda1663db981a --- /dev/null +++ b/VITS/__init__.py @@ -0,0 +1,20 @@ +try: + from .GPT_SoVITS import GPT_SoVITS + print("GPT_SoVITS导入成功") +except Exception as e: + print("GPT_SoVITS导入失败，原因：", e) + print("使用GPT-SoVITS语音克隆前需要安装对应的环境，请执行 pip install -r VITS/requirements_vits.txt") + +try: + from .CosyVoice import CosyVoiceTTS + print("CosyVoice导入成功") +except Exception as e: + print("CosyVoice导入失败，原因：", e) + print("使用CosyVoice语音克隆前需要安装对应的环境") + +# try: +# from .XTTS import XTTS +# print("XTTS导入成功") +# except Exception as e: +# print("XTTS导入失败，原因：", e) +# print("使用XTTS语音克隆前需要安装对应的环境，请执行 pip install -r VITS/requirements_xtts.txt")x2xw \ No newline at end of file diff --git a/VITS/app.py b/VITS/app.py new file mode 100644 index 0000000000000000000000000000000000000000..190aa4843cd6cbc0547152be09ce060e398b3d88 --- /dev/null +++ b/VITS/app.py @@ -0,0 +1,55 @@ +from GPT_SoVITS import * +import gradio as gr + +GPT_SoVITS_inference = GPT_SoVITS() +gpt_path = "GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt" +sovits_path = "GPT_SoVITS/pretrained_models/s2G488k.pth" +GPT_SoVITS_inference.load_model(gpt_path, sovits_path) + +with gr.Blocks(title = "GPT-SoVITS") as demo: + with gr.Row(): + gr.HTML("

GPT-SoVITS WebUI

") + gr.Markdown(value="*请上传并填写参考信息") + with gr.Row(): + inp_ref = gr.Audio(label="请上传3~10秒内参考音频，超过会报错！", sources=["microphone", "upload"], type="filepath") + prompt_text = gr.Textbox(label="参考音频的文本", value="") + prompt_language = gr.Dropdown( + label="参考音频的语种", choices=["中文", "英文", "日文"], value="中文" + ) + gr.Markdown(value="*请填写需要合成的目标文本。中英混合选中文，日英混合选日文，中日混合暂不支持，非目标语言文本自动遗弃。") + with gr.Row(): + text = gr.Textbox(label="需要合成的文本", value="") + text_language = gr.Dropdown( + label="需要合成的语种", choices=["中文", "英文", "日文", "中英混合", "日英混合", "多语种混合"], value="中文" + ) + how_to_cut = gr.Radio( + label="怎么切", + choices=["不切", "凑四句一切", "凑50字一切", "按中文句号。切", "按英文句号.切", "按标点符号切" ], + value="凑四句一切", + interactive=True, + ) + inference_button = gr.Button("合成语音", variant="primary") + output = gr.Audio(label="输出的语音") + + inference_button.click( + GPT_SoVITS_inference.predict, + [inp_ref, prompt_text, prompt_language, text, text_language, how_to_cut], + [output], + ) + gr.Markdown(value="文本切分工具。太长的文本合成出来效果不一定好，所以太长建议先切。合成会根据文本的换行分开合成再拼起来。") + with gr.Row(): + text_inp = gr.Textbox(label="需要合成的切分前文本", value="") + button1 = gr.Button("凑四句一切", variant="primary") + button2 = gr.Button("凑50字一切", variant="primary") + button3 = gr.Button("按中文句号。切", variant="primary") + button4 = gr.Button("按英文句号.切", variant="primary") + button5 = gr.Button("按标点符号切", variant="primary") + text_opt = gr.Textbox(label="切分后文本", value="") + button1.click(cut1, [text_inp], [text_opt]) + button2.click(cut2, [text_inp], [text_opt]) + button3.click(cut3, [text_inp], [text_opt]) + button4.click(cut4, [text_inp], [text_opt]) + button5.click(cut5, [text_inp], [text_opt]) + gr.Markdown(value="后续将支持混合语种编码文本输入。") + +demo.launch() \ No newline at end of file diff --git a/VITS/requirements_gptsovits.txt b/VITS/requirements_gptsovits.txt new file mode 100644 index 0000000000000000000000000000000000000000..01750d9a63fa3c546588f43b947b33374072786d --- /dev/null +++ b/VITS/requirements_gptsovits.txt @@ -0,0 +1,19 @@ +librosa==0.9.2 +numba==0.56.4 +pytorch-lightning +ffmpeg-python +onnxruntime +tqdm +funasr>=1.0.0 +cn2an +pypinyin +pyopenjtalk +g2p_en +modelscope==1.10.0 +sentencepiece +chardet +PyYAML +psutil +jieba_fast +jieba +LangSegment diff --git a/VITS/requirements_xtts.txt b/VITS/requirements_xtts.txt new file mode 100644 index 0000000000000000000000000000000000000000..cce3976fda53be6ded15ab71739ed81d84a8c4b4 --- /dev/null +++ b/VITS/requirements_xtts.txt @@ -0,0 +1,12 @@ +# Preinstall requirements from TTS +TTS @ git+https://github.com/coqui-ai/TTS@v0.21.1 +pydantic==1.10.13 +python-multipart==0.0.6 +typing-extensions>=4.8.0 +cutlet +mecab-python3==1.0.6 +unidic-lite==1.0.8 +unidic==1.1.0 +langid +deepspeed +pydub \ No newline at end of file diff --git a/api/README.md b/api/README.md new file mode 100644 index 0000000000000000000000000000000000000000..34922fd3ec2d2f28db0069ad639c80ad5da31cad --- /dev/null +++ b/api/README.md @@ -0,0 +1,154 @@ +# Linly-Talker API 接口文档 + +## 0. 安装依赖 + +首先，安装所需的依赖库： + +```bash +pip install -r api/requirements.txt +``` + +--- + +## 1. 文字转语音 (TTS) API + +### 启动命令 + +要启动 TTS API 服务，有两种方式： + +1. 使用 `fastapi` 命令： + + ```bash + fastapi dev api/tts_api.py --host 0.0.0.0 --port 8001 + ``` + +2. 直接运行 Python 脚本： + + ```bash + python api/tts_api.py + ``` + +启动服务后，运行客户端脚本来测试 API： + +```bash +python api/tts_client.py +``` + +生成的 Wav 音频文件会保存在 `output` 文件夹下。 + +### API 端点 + +- **基础 URL**: `http://localhost:8001` +- **API 文档**: [http://localhost:8001/docs](http://localhost:8001/docs) +- **更换模型**: [http://localhost:8001/change_model](http://localhost:8001/change_model) +- **模型预测**: [http://localhost:8001/tts_response](http://localhost:8001/tts_response) + +### API 端点说明 + +- **更换模型**: 用于切换当前 TTS 模型。 +- **模型预测**: 用于请求 TTS 生成音频。 + +--- + +## 2. 大语言模型 (LLM) API + +### 启动命令 + +要启动 LLM API 服务，有两种方式： + +1. 使用 `fastapi` 命令： + + ```bash + fastapi dev api/llm_api.py --host 0.0.0.0 --port 8002 + ``` + +2. 直接运行 Python 脚本： + + ```bash + python api/llm_api.py + ``` + +启动服务后，运行客户端脚本来测试 API： + +```bash +python api/llm_client.py +``` + +### API 端点 + +- **基础 URL**: `http://localhost:8002` +- **API 文档**: [http://localhost:8002/docs](http://localhost:8002/docs) +- **更换模型**: [http://localhost:8002/change_model](http://localhost:8002/change_model) +- **模型预测**: [http://localhost:8002/llm_response](http://localhost:8002/llm_response) + +### API 端点说明 + +- **更换模型**: 用于切换当前 LLM 模型。 +- **模型预测**: 用于请求 LLM 生成文本。 + +--- + +## 3. 对话生成 (Talker) API + +### 启动命令 + +要启动 Talker API 服务，有两种方式： + +1. 使用 `fastapi` 命令： + + ```bash + fastapi dev api/talker_api.py --host 0.0.0.0 --port 8003 + ``` + +2. 直接运行 Python 脚本： + + ```bash + python api/talker_api.py + ``` + +启动服务后，运行客户端脚本来测试 API： + +```bash +python api/talker_client.py +``` + +生成的 mp4 音频文件会保存在 `output` 文件夹下。 + +### API 端点 + +- **基础 URL**: `http://localhost:8003` +- **API 文档**: [http://localhost:8003/docs](http://localhost:8003/docs) +- **更换模型**: [http://localhost:8003/change_model](http://localhost:8003/change_model) +- **模型预测**: [http://localhost:8003/talker_response](http://localhost:8003/talker_response) + +### API 端点说明 + +- **更换模型**: 用于切换当前 Talker 模型。 +- **模型预测**: 用于请求 Talker 生成对话。 + +--- + +## 常见问题 + +### 如何测试 API？ + +可以通过运行提供的客户端脚本（`tts_client.py`, `llm_client.py`, `talker_client.py`）来测试各个 API。确保相应的 API 服务已经在指定的端口上运行。 + +### 如何处理 API 错误？ + +请检查 API 服务的日志以获取详细的错误信息。如果出现问题，确保请求格式和内容符合 API 文档中的规范。 + +### API 是否需要认证？ + +当前示例 API 文档中未提及认证。如果有认证需求，请根据实际情况添加相应的认证机制，并更新文档说明。 + +### 如何查看 API 文档？ + +启动 API 服务后，可以在以下 URL 中查看 API 文档： + +- TTS API: [http://localhost:8001/docs](http://localhost:8001/docs) +- LLM API: [http://localhost:8002/docs](http://localhost:8002/docs) +- Talker API: [http://localhost:8003/docs](http://localhost:8003/docs) + +--- + diff --git a/api/llm_api.py b/api/llm_api.py new file mode 100644 index 0000000000000000000000000000000000000000..584bc677f41026be1b7d1cd358f51422bd2247b7 --- /dev/null +++ b/api/llm_api.py @@ -0,0 +1,110 @@ +from fastapi import FastAPI, HTTPException, Query +from pydantic import BaseModel +from loguru import logger +import gc, torch +import sys +sys.path.append('./') +app = FastAPI() + +# 全局变量用于存储当前加载的LLM模型 +from LLM import LLM +llm_class = LLM(mode='offline') + +# 默认不使用LLM模型，直接回复问题，同时减少显存占用！ +llm = llm_class.init_model('直接回复 Direct Reply') + +# 默认系统提示语 +PREFIX_PROMPT = '请用少于25个字回答以下问题\n\n' +PREFIX_PROMPT = '' + +DEFAULT_SYSTEM = '你是一个很有帮助的助手' + +class LLMRequest(BaseModel): + question: str = '请问什么是FastAPI？' + model_name: str = 'Linly' + gemini_apikey: str = '' # Gemini模型的API密钥 + openai_apikey: str = '' # OpenAI的API密钥 + proxy_url: str = None # 代理URL + +@app.post("/llm_change_model/") +async def change_model( + model_name: str = Query(..., description="要加载的LLM模型名称"), + gemini_apikey: str = Query('', description="Gemini API 密钥"), + openai_apikey: str = Query('', description="OpenAI API 密钥"), + proxy_url: str = Query(None, description="代理 URL") +): + """更换LLM模型并加载相应资源。""" + global llm + + # 清理显存（具体实现依赖于模型库） + await clear_memory() + + try: + if model_name == 'Linly': + llm = llm_class.init_model('Linly', 'Linly-AI/Chinese-LLaMA-2-7B-hf', prefix_prompt=PREFIX_PROMPT) + logger.info("Linly模型导入成功") + elif model_name in ['Qwen', 'Qwen2']: + model_path = 'Qwen/Qwen-1_8B-Chat' if model_name == 'Qwen' else 'Qwen/Qwen1.5-0.5B-Chat' + llm = llm_class.init_model(model_name, model_path, prefix_prompt=PREFIX_PROMPT) + logger.info(f"{model_name} 模型导入成功") + elif model_name == 'Gemini': + if gemini_apikey: + llm = llm_class.init_model('Gemini', 'gemini-pro', gemini_apikey, proxy_url) + logger.info("Gemini模型导入成功") + else: + raise HTTPException(status_code=400, detail="请填写Gemini的API密钥") + elif model_name == 'ChatGLM': + llm = llm_class.init_model('ChatGLM', 'THUDM/chatglm3-6b', prefix_prompt=PREFIX_PROMPT) + logger.info("ChatGLM模型导入成功") + elif model_name == 'ChatGPT': + if openai_apikey: + llm = llm_class.init_model('ChatGPT', api_key=openai_apikey, proxy_url=proxy_url, prefix_prompt=PREFIX_PROMPT) + logger.info("ChatGPT模型导入成功") + else: + raise HTTPException(status_code=400, detail="请填写OpenAI的API密钥") + elif model_name == 'GPT4Free': + llm = llm_class.init_model('GPT4Free', prefix_prompt=PREFIX_PROMPT) + logger.info("GPT4Free模型导入成功，请注意该模型可能不稳定") + elif model_name == '直接回复 Direct Reply': + llm = llm_class.init_model(model_name) + logger.info("直接回复模式激活，不使用LLM模型") + else: + raise HTTPException(status_code=400, detail=f"未知的LLM模型: {model_name}") + except Exception as e: + logger.error(f"{model_name}模型加载失败: {e}") + raise HTTPException(status_code=500, detail=f"{model_name}模型加载失败: {e}") + + return {"message": f"{model_name} 模型加载成功"} + +@app.post("/llm_response/") +async def llm_response(request: LLMRequest): + """处理LLM模型的问答请求。""" + global llm + + if not request.question: + raise HTTPException(status_code=400, detail="问题内容不能为空") + + if llm is None: + raise HTTPException(status_code=400, detail="LLM模型未加载，请先加载模型") + + try: + answer = llm.generate(request.question, DEFAULT_SYSTEM) + logger.info(f"LLM 回复：{answer}") + return {"answer": answer} + except Exception as e: + logger.error(f"处理LLM请求失败: {e}") + raise HTTPException(status_code=500, detail=f"处理LLM请求失败: {e}") + +async def clear_memory(): + """清理显存的异步函数""" + logger.info("清理显存资源") + gc.collect() + if torch.cuda.is_available(): + torch.cuda.empty_cache() + torch.cuda.ipc_collect() + logger.info(f"显存使用情况: {torch.cuda.memory_allocated() / (1024 ** 2):.2f} MB") + + +if __name__ == "__main__": + import uvicorn + uvicorn.run(app, host="0.0.0.0", port=8002) \ No newline at end of file diff --git a/api/llm_client.py b/api/llm_client.py new file mode 100644 index 0000000000000000000000000000000000000000..efa1d7fe28760fca1e4c418c12b47583ecc0297e --- /dev/null +++ b/api/llm_client.py @@ -0,0 +1,54 @@ +import os +import requests + +llm_service_host = os.environ.get("LLM_SERVICE_HOST", "localhost") +llm_service_port = os.environ.get("LLM_SERVICE_PORT", 8002) + +# API endpoint URLs +CHANGE_MODEL_URL = f"http://{llm_service_host}:{llm_service_port}/llm_change_model/" +LLM_RESPONSE_URL = f"http://{llm_service_host}:{llm_service_port}/llm_response/" + +def change_model(model_name, gemini_apikey='', openai_apikey='', proxy_url=None): + """请求更换LLM模型""" + params = { + "model_name": model_name, + "gemini_apikey": gemini_apikey, + "openai_apikey": openai_apikey, + "proxy_url": proxy_url, + } + response = requests.post(CHANGE_MODEL_URL, params=params) + if response.status_code == 200: + print(f"模型更换成功: {response.json()}") + else: + print(f"模型更换失败: {response.status_code}, {response.text}") + +def request_llm_response(payload): + """请求LLM生成回答""" + response = requests.post(LLM_RESPONSE_URL, json=payload) + if response.status_code == 200: + print(f"LLM 回复成功: {response.json()}") + else: + print(f"LLM 回复失败: {response.status_code}, {response.text}") + +if __name__ == "__main__": + # 要测试的模型列表 + models = [ + # "GPT4Free", + "Qwen", + ] + + # 循环更换模型并生成LLM回复 + for model_name in models: + print(f"切换到模型: {model_name}") + change_model(model_name, openai_apikey="your_openai_api_key") + + # 请求LLM生成回答 + payload = { + "question": "请问什么是FastAPI？", + "model_name": model_name, + "gemini_apikey": "", + "openai_apikey": "your_openai_api_key", + # "proxy_url": None + } + request_llm_response(payload) + print("\n" + "-"*50 + "\n") diff --git a/api/requirements.txt b/api/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..2c52ccfe269e1d3e2f46c7015199fbcb78cfbe8e --- /dev/null +++ b/api/requirements.txt @@ -0,0 +1,2 @@ +fastapi +requests \ No newline at end of file diff --git a/api/talker_api.py b/api/talker_api.py new file mode 100644 index 0000000000000000000000000000000000000000..2599245ccdbc3547bbf5eb4f169c57dfdc4d4bab --- /dev/null +++ b/api/talker_api.py @@ -0,0 +1,174 @@ +from fastapi import FastAPI, HTTPException, Query, UploadFile, File, Form +from pydantic import BaseModel +import shutil +import os +from loguru import logger +import sys +import gc +import torch +from typing import Optional +from fastapi.responses import FileResponse + +sys.path.append("./") +app = FastAPI() + +# Global variable to store the currently loaded Talker model +talker = None + +USE_REF_VIDEO = False +REF_VIDEO = None +REF_INFO = 'pose' +USE_IDLE_MODE = False +AUDIO_LENGTH = 5 + +class TalkerRequest(BaseModel): + preprocess_type: str = 'crop' + is_still_mode: bool = False + enhancer: bool = False + batch_size: int = 4 + size_of_image: int = 256 + pose_style: int = 0 + facerender: str = 'facevid2vid' + exp_weight: float = 1.0 + blink_every: bool = True + talker_method: str = 'SadTalker' + fps: int = 30 + +async def clear_memory(): + """Asynchronous function to clear GPU memory.""" + logger.info("Clearing GPU memory resources") + gc.collect() + if torch.cuda.is_available(): + torch.cuda.empty_cache() + torch.cuda.ipc_collect() + logger.info(f"GPU memory usage after clearing: {torch.cuda.memory_allocated() / (1024 ** 2):.2f} MB") + +@app.post("/talker_change_model/") +async def change_model(model_name: str = Query(..., description="Name of the Talker model to load")): + """Change digital human conversation model and load corresponding resources.""" + global talker + + # Clear memory to free up unnecessary resources before loading a new model + await clear_memory() + + if model_name not in ['SadTalker', 'Wav2Lip', 'Wav2Lipv2', 'NeRFTalk']: + raise HTTPException(status_code=400, detail="Other models are not integrated yet. Please wait for updates.") + + try: + if model_name == 'SadTalker': + from TFG import SadTalker + talker = SadTalker(lazy_load=True) + logger.info("SadTalker model loaded successfully") + elif model_name == 'Wav2Lip': + from TFG import Wav2Lip + talker = Wav2Lip("checkpoints/wav2lip_gan.pth") + logger.info("Wav2Lip model loaded successfully") + elif model_name == 'Wav2Lipv2': + from TFG import Wav2Lipv2 + talker = Wav2Lipv2('checkpoints/wav2lipv2.pth') + logger.info("Wav2Lipv2 model loaded successfully, capable of generating higher quality results") + elif model_name == 'NeRFTalk': + from TFG import NeRFTalk + talker = NeRFTalk() + talker.init_model('checkpoints/Obama_ave.pth', 'checkpoints/Obama.json') + logger.info("NeRFTalk model loaded successfully") + logger.warning("NeRFTalk model is trained only for a single person, built-in with the Obama model, uploading other images is ineffective.") + except Exception as e: + logger.error(f"Failed to load {model_name} model: {e}") + raise HTTPException(status_code=500, detail=f"Failed to load {model_name} model: {e}") + + return {"message": f"{model_name} model loaded successfully"} + +@app.post("/talker_response/") +async def talker_response( + preprocess_type: str = Form('crop'), + is_still_mode: bool = Form(False), + enhancer: bool = Form(False), + batch_size: int = Form(4), + size_of_image: int = Form(256), + pose_style: int = Form(0), + facerender: str = Form('facevid2vid'), + exp_weight: float = Form(1.0), + blink_every: bool = Form(True), + talker_method: str = Form('SadTalker'), + fps: int = Form(30), + source_image: UploadFile = File(..., description="The source image file"), + driven_audio: UploadFile = File(..., description="The audio file that will drive the talking head"), +): + """Handle digital human conversation requests and generate video.""" + global talker + + if talker is None: + raise HTTPException(status_code=400, detail="Talker model not loaded. Please load a model first.") + + # Assemble the request data into the TalkerRequest model + request = TalkerRequest( + preprocess_type=preprocess_type, + is_still_mode=is_still_mode, + enhancer=enhancer, + batch_size=batch_size, + size_of_image=size_of_image, + pose_style=pose_style, + facerender=facerender, + exp_weight=exp_weight, + blink_every=blink_every, + talker_method=talker_method, + fps=fps, + ) + # print(request) + + # Temporary file paths + temp_image_path = "temp_source_image.jpg" + temp_audio_path = "temp_driven_audio.wav" + + try: + # Save uploaded files temporarily + with open(temp_image_path, "wb") as image_file: + shutil.copyfileobj(source_image.file, image_file) + with open(temp_audio_path, "wb") as audio_file: + shutil.copyfileobj(driven_audio.file, audio_file) + + # Video generation + if request.talker_method == 'SadTalker': + video_path = talker.test2( + temp_image_path, + temp_audio_path, + request.preprocess_type, + request.is_still_mode, + request.enhancer, + request.batch_size, + request.size_of_image, + request.pose_style, + request.facerender, + request.exp_weight, + REF_VIDEO, REF_INFO, USE_IDLE_MODE, AUDIO_LENGTH, + request.blink_every, + request.fps, + ) + elif request.talker_method == 'Wav2Lip': + video_path = talker.predict(temp_image_path, temp_audio_path, request.batch_size) + elif request.talker_method == 'Wav2Lipv2': + video_path = talker.run(temp_image_path, temp_audio_path, request.batch_size) + elif request.talker_method == 'NeRFTalk': + video_path = talker.predict(temp_audio_path) + else: + raise HTTPException(status_code=400, detail="Unsupported method") + + # Ensure the video file exists and return it + if os.path.exists(video_path): + return FileResponse(video_path, media_type='video/mp4', filename=os.path.basename(video_path)) + else: + raise HTTPException(status_code=404, detail="Video file not found") + except Exception as e: + logger.error(f"Video generation failed: {e}") + raise HTTPException(status_code=500, detail=f"Video generation failed: {e}") + finally: + # Clean up temporary files + if os.path.exists(temp_image_path): + os.remove(temp_image_path) + if os.path.exists(temp_audio_path): + os.remove(temp_audio_path) + +if __name__ == "__main__": + import uvicorn + uvicorn.run(app, host="0.0.0.0", port=8003) diff --git a/api/talker_client.py b/api/talker_client.py new file mode 100644 index 0000000000000000000000000000000000000000..7646b2818a62ecc0ebbd369caf4f3e36d2fad37c --- /dev/null +++ b/api/talker_client.py @@ -0,0 +1,92 @@ +import os +import requests + +# Set the host and port of the service +talker_service_host = os.environ.get("TALKER_SERVICE_HOST", "localhost") +talker_service_port = os.environ.get("TALKER_SERVICE_PORT", 8003) + +# API endpoint URLs +CHANGE_MODEL_URL = f"http://{talker_service_host}:{talker_service_port}/talker_change_model/" +TALKER_RESPONSE_URL = f"http://{talker_service_host}:{talker_service_port}/talker_response/" + +def change_talker_model(model_name): + """Request to change the Talker model.""" + params = {"model_name": model_name} + try: + response = requests.post(CHANGE_MODEL_URL, params=params) + response.raise_for_status() # Raise an exception for HTTP errors + print(f"Model change successful: {response.json()}") + except requests.RequestException as e: + print(f"Model change failed: {e}") + +def request_talker_response(source_image_path, driven_audio_path, payload, output_video_path): + """Request Talker to generate video.""" + + # Prepare payload as form data (ensure all values are strings) + data = { + 'preprocess_type': payload.get('preprocess_type', 'crop'), + 'is_still_mode': str(payload.get('is_still_mode', False)), + 'enhancer': str(payload.get('enhancer', False)), + 'batch_size': str(payload.get('batch_size', 4)), + 'size_of_image': str(payload.get('size_of_image', 256)), + 'pose_style': str(payload.get('pose_style', 0)), + 'facerender': payload.get('facerender', 'facevid2vid'), + 'exp_weight': str(payload.get('exp_weight', 1.0)), + 'blink_every': str(payload.get('blink_every', True)), + 'talker_method': payload.get('talker_method', 'SadTalker'), + 'fps': str(payload.get('fps', 30)), + } + + # Prepare files for upload + with open(source_image_path, 'rb') as image_file, open(driven_audio_path, 'rb') as audio_file: + files = { + 'source_image': (os.path.basename(source_image_path), image_file, 'image/jpeg'), # Adjust MIME type if necessary + 'driven_audio': (os.path.basename(driven_audio_path), audio_file, 'audio/wav'), # Adjust MIME type if necessary + } + + try: + # Sending POST request to the server with form data and files + response = requests.post(TALKER_RESPONSE_URL, data=data, files=files) + response.raise_for_status() # Raise an exception for HTTP errors + + with open(output_video_path, 'wb') as video_file: + video_file.write(response.content) + print(f"Talker response successful, video saved as: {output_video_path}") + except requests.RequestException as e: + print(f"Talker response failed: {e}") + +if __name__ == "__main__": + # Models to test + models = [ + "SadTalker", + "Wav2Lip", + "Wav2Lipv2", + "NeRFTalk", + ] + result_dir = "outputs" + os.makedirs(result_dir, exist_ok=True) + # Loop to change model and generate Talker response + for model_name in models: + print(f"Switching to model: {model_name}") + change_talker_model(model_name) + + # Request Talker to generate video + payload = { + "preprocess_type": "crop", + "is_still_mode": False, + "enhancer": False, + "batch_size": 4, + "size_of_image": 256, + "pose_style": 0, + "facerender": "facevid2vid", + "exp_weight": 1.0, + "blink_every": True, + "talker_method": model_name, + "fps": 30, + } + request_talker_response( + "inputs/example.png", + "answer.wav", # 确保音频文件路径正确 + payload, os.path.join(result_dir, f"output_video_{model_name}.mp4") + ) + print("\n" + "-" * 50 + "\n") diff --git a/api/tts_api.py b/api/tts_api.py new file mode 100644 index 0000000000000000000000000000000000000000..0bc264ba8a87a59cbc3cfa7f7345aa0f851342f3 --- /dev/null +++ b/api/tts_api.py @@ -0,0 +1,260 @@ +from fastapi import FastAPI, HTTPException, Query, UploadFile, File, Form +from fastapi.responses import FileResponse +from pydantic import BaseModel +import os, sys +import gc, torch +from loguru import logger +import asyncio +from typing import Optional + +sys.path.append("./") + +app = FastAPI() + +tts = None +cosyvoice = None +edgetts = None +vits = None + +class TTSRequest(BaseModel): + text: str = '你好，我是Linly-Talker。' + voice: str = 'zh-CN-XiaoxiaoNeural' + rate: float = 1.0 + volume: float = 1.0 + pitch: float = 1.0 + speed_factor: float = 1.0 + am: str = 'FastSpeech2' + voc: str = 'PWGan' + lang: str = 'zh' + male: bool = False + prompt_text: str = '' + prompt_language: str = '中文' + ref_audio: str = '' + ref_text: str = '' + ref_language: str = '中文' + cut_method: str = '凑四句一切' + cosyvoice_mode: str = '预训练音色' + sft_dropdown: str = '中文男' + seed: int = 42 + tts_method: str = 'EdgeTTS' + save_path: str = 'answer.wav' + +@app.post("/tts_change_model/") +async def change_model(model_name: str = Query(..., description="要加载的TTS模型名称")): + global tts, cosyvoice, edgetts, vits + + await clear_memory() + + try: + if model_name == 'EdgeTTS': + from TTS import EdgeTTS + if edgetts is None: + edgetts = EdgeTTS() + if edgetts.network: + logger.info("EdgeTTS模型加载成功") + else: + logger.warning("EdgeTTS模型加载失败，请检查网络连接") + raise HTTPException(status_code=503, detail="EdgeTTS模型加载失败，请检查网络连接") + elif model_name == 'PaddleTTS': + from TTS import PaddleTTS + if tts is None: + tts = PaddleTTS() + logger.info("PaddleTTS模型加载成功") + elif model_name == 'GPT-SoVITS克隆声音': + gpt_path = "GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt" + sovits_path = "GPT_SoVITS/pretrained_models/s2G488k.pth" + if vits is None: + from VITS import GPT_SoVITS + vits = GPT_SoVITS() + vits.load_model(gpt_path, sovits_path) + logger.info("GPT-SoVITS模型加载成功") + elif model_name == 'CosyVoice-SFT模式': + from VITS import CosyVoiceTTS + model_path = 'checkpoints/CosyVoice_ckpt/CosyVoice-300M-SFT' + if cosyvoice is None: + cosyvoice = CosyVoiceTTS(model_path) + logger.info("CosyVoice-SFT模式模型加载成功") + elif model_name == 'CosyVoice-克隆翻译模式': + from VITS import CosyVoiceTTS + model_path = 'checkpoints/CosyVoice_ckpt/CosyVoice-300M' + if cosyvoice is None: + cosyvoice = CosyVoiceTTS(model_path) + logger.info("CosyVoice-克隆翻译模式模型加载成功") + else: + logger.warning(f"未知的TTS模型: {model_name}") + raise HTTPException(status_code=400, detail=f"未知的TTS模型: {model_name}") + except ImportError as e: + logger.error(f"导入模型 {model_name} 失败: {e}") + raise HTTPException(status_code=500, detail=f"导入模型 {model_name} 失败: {e}") + except Exception as e: + logger.error(f"{model_name} 模型加载失败: {e}") + raise HTTPException(status_code=500, detail=f"{model_name} 模型加载失败: {e}") + + return {"message": f"{model_name} 模型加载成功"} + +async def clear_memory(): + logger.info("清理显存资源") + gc.collect() + if torch.cuda.is_available(): + torch.cuda.empty_cache() + torch.cuda.ipc_collect() + logger.info(f"显存使用情况: {torch.cuda.memory_allocated() / (1024 ** 2):.2f} MB") + +def save_upload_file(upload_file: UploadFile, destination: str) -> str: + """保存上传的文件到指定路径""" + with open(destination, "wb") as buffer: + buffer.write(upload_file.file.read()) + return destination + +def predict_edge_tts(request: TTSRequest): + global edgetts + if edgetts is None: + raise HTTPException(status_code=400, detail="EdgeTTS 模型未加载") + if not edgetts.network: + raise HTTPException(status_code=503, detail="EdgeTTS 模型网络问题") + + try: + edgetts.predict(request.text, request.voice, request.rate, request.volume, request.pitch, request.save_path, 'answer.vtt') + except Exception as e: + os.system(f'edge-tts --text "{request.text}" --voice {request.voice} --write-media {request.save_path} --write-subtitles answer.vtt') + + return request.save_path + +def predict_paddle_tts(request: TTSRequest): + global tts + if tts is None: + raise HTTPException(status_code=400, detail="PaddleTTS 模型未加载") + + try: + tts.predict(request.text, request.am, request.voc, lang=request.lang, male=request.male, save_path=request.save_path) + except Exception as e: + raise HTTPException(status_code=500, detail=f"PaddleTTS 预测失败: {e}") + + return request.save_path + +def predict_gpt_sovits(request: TTSRequest): + global vits + if vits is None: + raise HTTPException(status_code=400, detail="GPT-SoVITS 模型未加载") + + + + try: + vits.predict(ref_wav_path=request.ref_audio, prompt_text=request.prompt_text, + prompt_language=request.prompt_language, text=request.text, + text_language=request.ref_language, how_to_cut=request.cut_method, + save_path=request.save_path) + except Exception as e: + raise HTTPException(status_code=500, detail=f"GPT-SoVITS 预测失败: {e}") + + return request.save_path + +def predict_cosyvoice(request: TTSRequest): + global cosyvoice + if cosyvoice is None: + raise HTTPException(status_code=400, detail="CosyVoice 模型未加载") + + prompt_wav = None + if request.ref_audio: + prompt_wav = request.ref_audio + + if request.cosyvoice_mode in ['3s极速复刻', '跨语种复刻'] and not prompt_wav: + raise HTTPException(status_code=400, detail="选择的模式需要提供 prompt 音频") + + try: + if request.cosyvoice_mode == '预训练音色': + output = cosyvoice.predict_sft(request.text, request.sft_dropdown, speed_factor=request.speed_factor, save_path=request.save_path) + elif request.cosyvoice_mode == '3s极速复刻': + output = cosyvoice.predict_zero_shot(request.text, request.ref_text, prompt_wav, speed_factor=request.speed_factor, save_path=request.save_path) + elif request.cosyvoice_mode == '跨语种复刻': + output = cosyvoice.predict_cross_lingual(request.text, prompt_wav, speed_factor=request.speed_factor, save_path=request.save_path) + except Exception as e: + raise HTTPException(status_code=500, detail=f"CosyVoice 预测失败: {e}") + + return output + +@app.post("/tts_response/") +async def tts_response( + text: str = Form('你好，我是Linly-Talker。'), + voice: str = Form('zh-CN-XiaoxiaoNeural'), + rate: float = Form(1.0), + volume: float = Form(1.0), + pitch: float = Form(1.0), + speed_factor: float = Form(1.0), + am: str = Form('FastSpeech2'), + voc: str = Form('PWGan'), + lang: str = Form('zh'), + male: bool = Form(False), + prompt_text: str = Form(''), + prompt_language: str = Form('中文'), + ref_text: str = Form(''), + ref_language: str = Form('中文'), + cut_method: str = Form('凑四句一切'), + cosyvoice_mode: str = Form('预训练音色'), + sft_dropdown: str = Form('中文男'), + seed: int = Form(42), + tts_method: str = Form('EdgeTTS'), + save_path: str = Form('answer.wav'), + ref_audio: Optional[UploadFile] = File(None) +): + ref_audio_path = None + if ref_audio: + # 保存上传的音频文件 + ref_audio_path = save_upload_file(ref_audio, "uploaded_ref_audio.wav") + + request = TTSRequest( + text=text, + voice=voice, + rate=rate, + volume=volume, + pitch=pitch, + speed_factor=speed_factor, + am=am, + voc=voc, + lang=lang, + male=male, + prompt_text=prompt_text, + prompt_language=prompt_language, + ref_audio=ref_audio_path if ref_audio else '', + ref_text=ref_text, + ref_language=ref_language, + cut_method=cut_method, + cosyvoice_mode=cosyvoice_mode, + sft_dropdown=sft_dropdown, + seed=seed, + tts_method=tts_method, + save_path=save_path + ) + # print(request) + + if not request.text: + raise HTTPException(status_code=400, detail="文本内容为空") + + try: + if request.tts_method == 'EdgeTTS': + file_path = predict_edge_tts(request) + elif request.tts_method == 'PaddleTTS': + file_path = predict_paddle_tts(request) + elif request.tts_method == 'GPT-SoVITS克隆声音': + file_path = predict_gpt_sovits(request) + elif "CosyVoice" in request.tts_method: + file_path = predict_cosyvoice(request) + else: + raise HTTPException(status_code=400, detail=f"未知的TTS方法: {request.tts_method}") + + if os.path.exists(request.save_path): + return FileResponse(file_path, media_type='audio/wav', filename=request.save_path) + else: + logger.error(f"处理TTS请求失败: {e}") + raise HTTPException(status_code=404, detail="Audio file not found") + + except Exception as e: + raise HTTPException(status_code=500, detail=f"处理TTS请求失败: {e}") + # finally: + # if ref_audio: + # os.remove(ref_audio_path) + # os.remove(request.save_path) + +if __name__ == "__main__": + import uvicorn + uvicorn.run(app, host="0.0.0.0", port=8001) diff --git a/api/tts_client.py b/api/tts_client.py new file mode 100644 index 0000000000000000000000000000000000000000..cba697440e945598fa79fbc5ef5adc6bb5d0476e --- /dev/null +++ b/api/tts_client.py @@ -0,0 +1,98 @@ +import os +import requests + +tts_service_host = os.environ.get("TTS_SERVICE_HOST", "localhost") +tts_service_port = os.environ.get("TTS_SERVICE_PORT", 8001) + +# API endpoint URLs +CHANGE_MODEL_URL = f"http://{tts_service_host}:{tts_service_port}/tts_change_model/" +TTS_RESPONSE_URL = f"http://{tts_service_host}:{tts_service_port}/tts_response/" + +def change_model(model_name): + """请求更换TTS模型""" + response = requests.post(CHANGE_MODEL_URL, params={"model_name": model_name}) + if response.status_code == 200: + print(f"模型更换成功: {response.json()}") + else: + print(f"模型更换失败: {response.status_code}, {response.text}") + +def request_tts(payload, ref_audio_path=None, output_wav_path='output_tts.wav'): + """请求TTS生成音频，支持上传文件""" + files = {} + if ref_audio_path: + files['ref_audio'] = open(ref_audio_path, 'rb') + try: + response = requests.post(TTS_RESPONSE_URL, data=payload, files=files) + response.raise_for_status() # Raise an exception for HTTP errors + with open(output_wav_path, 'wb') as wav_file: + wav_file.write(response.content) + print(f"TTS生成成功, 音频保存为: {output_wav_path}") + except requests.RequestException as e: + print(f"TTS生成失败: {e}") + +if __name__ == "__main__": + result_dir = "outputs" + os.makedirs(result_dir, exist_ok=True) + + # 要测试的模型列表 + models = [ + "EdgeTTS", + "PaddleTTS", + ] + + # 循环更换模型并生成TTS + for model_name in models: + print(f"切换到模型: {model_name}") + change_model(model_name) + + # 请求TTS生成音频 + text = "你好，我是Linly-Talker，很高兴认识大家" + payload = { + "text": text, + "tts_method": model_name, + "save_path": f"output_{model_name}.wav" + } + output_wav_path = os.path.join(result_dir, f"output_{model_name}.wav") + request_tts(payload, output_wav_path=output_wav_path) + print("\n" + "-" * 50 + "\n") + + # 测试 GPT-SoVITS + model_name = "GPT-SoVITS克隆声音" + print(f"切换到模型: {model_name}") + change_model(model_name) + + # 请求TTS生成音频 + payload = { + "text": "你好，我是Linly-Talker，很高兴认识大家", + "tts_method": model_name, + "prompt_text": "你好，我是Linly-Talker，我是克隆生成的", + "ref_text": "你好，我是Linly-Talker。", + "prompt_language": "中文", + "ref_language": "中文", + "save_path": f"output_{model_name}.wav" + } + ref_audio_path = os.path.join(result_dir, "output_EdgeTTS.wav") + output_wav_path = os.path.join(result_dir, "output_GPT_SoVITS.wav") + request_tts(payload, ref_audio_path=ref_audio_path, output_wav_path=output_wav_path) + print("\n" + "-" * 50 + "\n") + + # 测试 CosyVoice + cosyvoice_models = [ + "CosyVoice-SFT模式", + "CosyVoice-克隆翻译模式" + ] + + for cosy_model in cosyvoice_models: + print(f"切换到模型: {cosy_model}") + change_model(cosy_model) + # 请求TTS生成音频 + payload = { + "text": "你们好，今天天气很好，你们都要天天开心哦", + "tts_method": cosy_model, + "cosyvoice_mode": "预训练音色" if "SFT模式" in cosy_model else "3s极速复刻", + "ref_text": "你好，我是Linly-Talker，很高兴认识大家", + } + ref_audio_path = os.path.join(result_dir, "output_EdgeTTS.wav") if "克隆翻译模式" in cosy_model else None + output_wav_path = os.path.join(result_dir, f"output_{cosy_model}.wav") + request_tts(payload, ref_audio_path=ref_audio_path, output_wav_path=output_wav_path) + print("\n" + "-" * 50 + "\n") \ No newline at end of file diff --git a/app.py b/app.py new file mode 100644 index 0000000000000000000000000000000000000000..cfc98f7ff9fcc6192e567dc3e87c49e583800355 --- /dev/null +++ b/app.py @@ -0,0 +1,199 @@ +import os +import random +import gradio as gr +from zhconv import convert +from LLM import LLM +from ASR import WhisperASR +from TFG import SadTalker +from TTS import EdgeTTS +from src.cost_time import calculate_time + +from configs import * +os.environ["GRADIO_TEMP_DIR"]= './temp' + +description = """

+ Linly 智能对话系统 (Linly-Talker) +
+ + [知乎] + [bilibili] + [GitHub] + [个人主页] + +
+ Linly-Talker 是一款智能 AI 对话系统，结合了大型语言模型 (LLMs) 与视觉模型，是一种新颖的人工智能交互方式。 +

+""" + +# 设定默认参数值，可修改 +source_image = r'example.png' +blink_every = True +size_of_image = 256 +preprocess_type = 'crop' +facerender = 'facevid2vid' +enhancer = False +is_still_mode = False +pic_path = "./inputs/girl.png" +crop_pic_path = "./inputs/first_frame_dir_girl/girl.png" +first_coeff_path = "./inputs/first_frame_dir_girl/girl.mat" +crop_info = ((403, 403), (19, 30, 502, 513), [40.05956541381802, 40.17324339233366, 443.7892505041507, 443.9029284826663]) + +exp_weight = 1 + +use_ref_video = False +ref_video = None +ref_info = 'pose' +use_idle_mode = False +length_of_audio = 5 + +@calculate_time +def Asr(audio): + try: + question = asr.transcribe(audio) + question = convert(question, 'zh-cn') + except Exception as e: + print("ASR Error: ", e) + question = 'Gradio存在一些bug，麦克风模式有时候可能音频还未传入，请重新点击一下语音识别即可' + gr.Warning(question) + return question + +@calculate_time +def TTS_response(text, + voice, rate, volume, pitch,): + try: + tts.predict(text, voice, rate, volume, pitch , 'answer.wav', 'answer.vtt') + except: + os.system(f'edge-tts --text "{text}" --voice {voice} --write-media answer.wav --write-subtitles answer.vtt') + return 'answer.wav', 'answer.vtt' + +@calculate_time +def LLM_response(question, voice = 'zh-CN-XiaoxiaoNeural', rate = 0, volume = 0, pitch = 0): + answer = llm.generate(question) + print(answer) + answer_audio, answer_vtt, _ = TTS_response(answer, voice, rate, volume, pitch) + return answer_audio, answer_vtt, answer + +@calculate_time +def Talker_response(text, voice = 'zh-CN-XiaoxiaoNeural', rate = 0, volume = 100, pitch = 0, batch_size = 2): + voice = 'zh-CN-XiaoxiaoNeural' if voice not in tts.SUPPORTED_VOICE else voice + # print(voice , rate , volume , pitch) + driven_audio, driven_vtt, _ = LLM_response(text, voice, rate, volume, pitch) + pose_style = random.randint(0, 45) + video = talker.test(pic_path, + crop_pic_path, + first_coeff_path, + crop_info, + source_image, + driven_audio, + preprocess_type, + is_still_mode, + enhancer, + batch_size, + size_of_image, + pose_style, + facerender, + exp_weight, + use_ref_video, + ref_video, + ref_info, + use_idle_mode, + length_of_audio, + blink_every, + fps=20) + if driven_vtt: + return video, driven_vtt + else: + return video + +def main(): + with gr.Blocks(analytics_enabled=False, title = 'Linly-Talker') as inference: + gr.HTML(description) + with gr.Row(equal_height=False): + with gr.Column(variant='panel'): + with gr.Tabs(elem_id="question_audio"): + with gr.TabItem('对话'): + with gr.Column(variant='panel'): + question_audio = gr.Audio(sources=['microphone','upload'], type="filepath", label = '语音对话') + input_text = gr.Textbox(label="Input Text", lines=3) + + with gr.Accordion("Advanced Settings(高级设置语音参数) ", + open=False): + voice = gr.Dropdown(tts.SUPPORTED_VOICE, + value='zh-CN-XiaoxiaoNeural', + label="Voice") + rate = gr.Slider(minimum=-100, + maximum=100, + value=0, + step=1.0, + label='Rate') + volume = gr.Slider(minimum=0, + maximum=100, + value=100, + step=1, + label='Volume') + pitch = gr.Slider(minimum=-100, + maximum=100, + value=0, + step=1, + label='Pitch') + batch_size = gr.Slider(minimum=1, + maximum=10, + value=2, + step=1, + label='Talker Batch size') + asr_text = gr.Button('语音识别（语音对话后点击）') + asr_text.click(fn=Asr,inputs=[question_audio],outputs=[input_text]) + + # with gr.Column(variant='panel'): + # input_text = gr.Textbox(label="Input Text", lines=3) + # text_button = gr.Button("文字对话", variant='primary') + + + with gr.Column(variant='panel'): + with gr.Tabs(): + with gr.TabItem('数字人问答'): + gen_video = gr.Video(label="Generated video", format="mp4", scale=1, autoplay=True) + video_button = gr.Button("提交", variant='primary') + video_button.click(fn=Talker_response,inputs=[input_text,voice, rate, volume, pitch, batch_size],outputs=[gen_video]) + + with gr.Row(): + with gr.Column(variant='panel'): + gr.Markdown("## Text Examples") + examples = ['应对压力最有效的方法是什么？', + '如何进行时间管理？', + '为什么有些人选择使用纸质地图或寻求方向，而不是依赖GPS设备或智能手机应用程序？', + '近日，苹果公司起诉高通公司，状告其未按照相关合约进行合作，高通方面尚未回应。这句话中“其”指的是谁？', + '三年级同学种树80颗，四、五年级种的棵树比三年级种的2倍多14棵，三个年级共种树多少棵?', + '撰写一篇交响乐音乐会评论，讨论乐团的表演和观众的整体体验。', + '翻译成中文：Luck is a dividend of sweat. The more you sweat, the luckier you get.', + ] + gr.Examples( + examples = examples, + fn = Talker_response, + inputs = [input_text], + outputs=[gen_video], + # cache_examples = True, + ) + return inference + + + +if __name__ == "__main__": + # llm = LLM(mode='offline').init_model('Linly', 'Linly-AI/Chinese-LLaMA-2-7B-hf') + # llm = LLM(mode='offline').init_model('Gemini', 'gemini-pro', api_key = "your api key") + # llm = LLM(mode='offline').init_model('Qwen', 'Qwen/Qwen-1_8B-Chat') + llm = LLM(mode='offline').init_model('Qwen', 'Qwen/Qwen-1_8B-Chat') + talker = SadTalker(lazy_load=True) + asr = WhisperASR('base') + tts = EdgeTTS() + gr.close_all() + demo = main() + demo.queue() + # demo.launch() + demo.launch(server_name=ip, # 本地端口localhost:127.0.0.1 全局端口转发:"0.0.0.0" + server_port=port, + # 似乎在Gradio4.0以上版本可以不使用证书也可以进行麦克风对话 + ssl_certfile=ssl_certfile, + ssl_keyfile=ssl_keyfile, + ssl_verify=False, + debug=True) \ No newline at end of file diff --git a/app_img.py b/app_img.py new file mode 100644 index 0000000000000000000000000000000000000000..6bfaecb191af665433a44863400aa1ace4e2ff10 --- /dev/null +++ b/app_img.py @@ -0,0 +1,282 @@ +import os +import gradio as gr +from zhconv import convert +from LLM import LLM +from ASR import WhisperASR +from TFG import SadTalker +from TTS import EdgeTTS + +from src.cost_time import calculate_time +from configs import * +description = """

+ Linly 智能对话系统 (Linly-Talker) +
+ + [知乎] + [bilibili] + [GitHub] + [个人主页] + +
+ Linly-Talker 是一款智能 AI 对话系统，结合了大型语言模型 (LLMs) 与视觉模型，是一种新颖的人工智能交互方式。 +

+""" + +use_ref_video = False +ref_video = None +ref_info = 'pose' +use_idle_mode = False +length_of_audio = 5 + +@calculate_time +def Asr(audio): + try: + question = asr.transcribe(audio) + question = convert(question, 'zh-cn') + except Exception as e: + print("ASR Error: ", e) + question = 'Gradio存在一些bug，麦克风模式有时候可能音频还未传入，请重新点击一下语音识别即可' + gr.Warning(question) + return question + +@calculate_time +def TTS_response(text, + voice, rate, volume, pitch,): + try: + tts.predict(text, voice, rate, volume, pitch , 'answer.wav', 'answer.vtt') + except: + os.system(f'edge-tts --text "{text}" --voice {voice} --write-media answer.wav') + return 'answer.wav', 'answer.vtt' + +@calculate_time +def LLM_response(question, voice = 'zh-CN-XiaoxiaoNeural', rate = 0, volume = 0, pitch = 0): + answer = llm.generate(question) + print(answer) + TTS_response(answer, voice, rate, volume, pitch) + return 'answer.wav', 'answer.vtt', answer + +@calculate_time +def Talker_response(text, voice, rate, volume, pitch, source_image, + preprocess_type, + is_still_mode, + enhancer, + batch_size, + size_of_image, + pose_style, + facerender, + exp_weight, + blink_every, + fps): + voice = 'zh-CN-XiaoxiaoNeural' if voice not in tts.SUPPORTED_VOICE else voice + driven_audio, driven_vtt, _ = LLM_response(text, voice, rate, volume, pitch) + video = talker.test2(source_image, + driven_audio, + preprocess_type, + is_still_mode, + enhancer, + batch_size, + size_of_image, + pose_style, + facerender, + exp_weight, + use_ref_video, + ref_video, + ref_info, + use_idle_mode, + length_of_audio, + blink_every, + fps=fps) + if driven_vtt: + return video, driven_vtt + else: + return video + +def main(): + + with gr.Blocks(analytics_enabled=False, title = 'Linly-Talker') as inference: + gr.HTML(description) + with gr.Row(equal_height=False): + with gr.Column(variant='panel'): + with gr.Tabs(elem_id="sadtalker_source_image"): + with gr.TabItem('Source image'): + with gr.Row(): + source_image = gr.Image(label="Source image", type="filepath", elem_id="img2img_image", width=512) + + with gr.Tabs(elem_id="question_audio"): + with gr.TabItem('对话'): + with gr.Column(variant='panel'): + question_audio = gr.Audio(sources=['microphone','upload'], type="filepath", label = '语音对话') + input_text = gr.Textbox(label="Input Text", lines=3, info = '文字对话') + with gr.Accordion("Advanced Settings", + open=False, + visible=True) as parameter_article: + voice = gr.Dropdown(tts.SUPPORTED_VOICE, + value='zh-CN-XiaoxiaoNeural', + label="Voice") + rate = gr.Slider(minimum=-100, + maximum=100, + value=0, + step=1.0, + label='Rate') + volume = gr.Slider(minimum=0, + maximum=100, + value=100, + step=1, + label='Volume') + pitch = gr.Slider(minimum=-100, + maximum=100, + value=0, + step=1, + label='Pitch') + + asr_text = gr.Button('语音识别（语音对话后点击）') + asr_text.click(fn=Asr,inputs=[question_audio],outputs=[input_text]) + + # with gr.Tabs(elem_id="response_audio"): + # with gr.TabItem("语音选择"): + # with gr.Column(variant='panel'): + # voice = gr.Dropdown(VOICES, values='zh-CN-XiaoxiaoNeural') + + + with gr.Tabs(elem_id="text_examples"): + gr.Markdown("## Text Examples") + examples = [ + ['应对压力最有效的方法是什么？'], + ['如何进行时间管理？'], + ['为什么有些人选择使用纸质地图或寻求方向，而不是依赖GPS设备或智能手机应用程序？'], + ['近日，苹果公司起诉高通公司，状告其未按照相关合约进行合作，高通方面尚未回应。这句话中“其”指的是谁？'], + ['三年级同学种树80颗，四、五年级种的棵树比三年级种的2倍多14棵，三个年级共种树多少棵?'], + ['撰写一篇交响乐音乐会评论，讨论乐团的表演和观众的整体体验。'], + ['翻译成中文：Luck is a dividend of sweat. The more you sweat, the luckier you get.'], + ] + gr.Examples( + examples = examples, + inputs = [input_text], + ) + + # driven_audio = 'answer.wav' + with gr.Column(variant='panel'): + with gr.Tabs(elem_id="sadtalker_checkbox"): + with gr.TabItem('Settings'): + with gr.Accordion("Advanced Settings", + open=False): + gr.Markdown("SadTalker: need help? please visit our [[best practice page](https://github.com/OpenTalker/SadTalker/blob/main/docs/best_practice.md)] for more detials") + with gr.Column(variant='panel'): + # width = gr.Slider(minimum=64, elem_id="img2img_width", maximum=2048, step=8, label="Manually Crop Width", value=512) # img2img_width + # height = gr.Slider(minimum=64, elem_id="img2img_height", maximum=2048, step=8, label="Manually Crop Height", value=512) # img2img_width + with gr.Row(): + pose_style = gr.Slider(minimum=0, maximum=45, step=1, label="Pose style", value=0) # + exp_weight = gr.Slider(minimum=0, maximum=3, step=0.1, label="expression scale", value=1) # + blink_every = gr.Checkbox(label="use eye blink", value=True) + + with gr.Row(): + size_of_image = gr.Radio([256, 512], value=256, label='face model resolution', info="use 256/512 model? 256 is faster") # + preprocess_type = gr.Radio(['crop', 'resize','full', 'extcrop', 'extfull'], value='crop', label='preprocess', info="How to handle input image?") + + with gr.Row(): + is_still_mode = gr.Checkbox(label="Still Mode (fewer head motion, works with preprocess `full`)") + facerender = gr.Radio(['facevid2vid', 'PIRender'], value='facevid2vid', label='facerender', info="which face render?") + + with gr.Row(): + batch_size = gr.Slider(label="batch size in generation", step=1, maximum=10, value=1) + fps = gr.Slider(label='fps in generation', step=1, maximum=30, value =20) + enhancer = gr.Checkbox(label="GFPGAN as Face enhancer(slow)") + + + + with gr.Tabs(elem_id="sadtalker_genearted"): + gen_video = gr.Video(label="Generated video", format="mp4",scale=0.8) + + submit = gr.Button('Generate', elem_id="sadtalker_generate", variant='primary') + submit.click( + fn=Talker_response, + inputs=[input_text, + voice, rate, volume, pitch, + source_image, + preprocess_type, + is_still_mode, + enhancer, + batch_size, + size_of_image, + pose_style, + facerender, + exp_weight, + blink_every, + fps], + outputs=[gen_video] + ) + + + + with gr.Row(): + examples = [ + [ + 'examples/source_image/full_body_2.png', + 'crop', + False, + False + ], + [ + 'examples/source_image/full_body_1.png', + 'crop', + False, + False + ], + [ + 'examples/source_image/full3.png', + 'crop', + False, + False + ], + [ + 'examples/source_image/full4.jpeg', + 'crop', + False, + False + ], + [ + 'examples/source_image/art_13.png', + 'crop', + False, + False + ], + [ + 'examples/source_image/art_5.png', + 'crop', + False, + False + ], + ] + gr.Examples(examples=examples, + fn=Talker_response, + inputs=[ + source_image, + preprocess_type, + is_still_mode, + enhancer], + outputs=[gen_video], + # cache_examples=True, + ) + return inference + + + +if __name__ == "__main__": + # llm = LLM(mode='offline').init_model('Linly', 'Linly-AI/Chinese-LLaMA-2-7B-hf') + # llm = LLM(mode='offline').init_model('Gemini', 'gemini-pro', api_key = "your api key") + # llm = LLM(mode='offline').init_model('Qwen', 'Qwen/Qwen-1_8B-Chat') + llm = LLM(mode=mode).init_model('Qwen', 'Qwen/Qwen-1_8B-Chat') + talker = SadTalker(lazy_load=True) + asr = WhisperASR('base') + tts = EdgeTTS() + gr.close_all() + demo = main() + demo.queue() + # demo.launch() + demo.launch(server_name=ip, # 本地端口localhost:127.0.0.1 全局端口转发:"0.0.0.0" + server_port=port, + # 似乎在Gradio4.0以上版本可以不使用证书也可以进行麦克风对话 + ssl_certfile=ssl_certfile, + ssl_keyfile=ssl_keyfile, + ssl_verify=False, + debug=True) \ No newline at end of file diff --git a/app_multi.py b/app_multi.py new file mode 100644 index 0000000000000000000000000000000000000000..3f60403cff7ab2fa1962221ab29009fbfc0bd195 --- /dev/null +++ b/app_multi.py @@ -0,0 +1,264 @@ +import os +import random +import time +import gradio as gr +from zhconv import convert +from LLM import LLM +from ASR import WhisperASR +from TFG import SadTalker +from TTS import EdgeTTS + +from src.cost_time import calculate_time +from configs import * +os.environ["GRADIO_TEMP_DIR"]= './temp' + +description = """

+ Linly 智能多轮对话系统 (Linly-Talker) +
+ + [知乎] + [bilibili] + [GitHub] + [个人主页] + +
+ Linly-Talker 是一款智能 AI 对话系统，结合了大型语言模型 (LLMs) 与视觉模型，是一种新颖的人工智能交互方式。 +

+""" +# 设置默认system +default_system = '你是一个很有帮助的助手' + +# 设定默认参数值，可修改 +source_image = r'example.png' +blink_every = True +size_of_image = 256 +preprocess_type = 'crop' +facerender = 'facevid2vid' +enhancer = False +is_still_mode = False +# pose_style = gr.Slider(minimum=0, maximum=45, step=1, label="Pose style", value=0) +pic_path = "./inputs/girl.png" +crop_pic_path = "./inputs/first_frame_dir_girl/girl.png" +first_coeff_path = "./inputs/first_frame_dir_girl/girl.mat" +crop_info = ((403, 403), (19, 30, 502, 513), [40.05956541381802, 40.17324339233366, 443.7892505041507, 443.9029284826663]) + +# exp_weight = gr.Slider(minimum=0, maximum=3, step=0.1, label="expression scale", value=1) +exp_weight = 1 + +use_ref_video = False +ref_video = None +ref_info = 'pose' +use_idle_mode = False +length_of_audio = 5 + +@calculate_time +def Asr(audio): + try: + question = asr.transcribe(audio) + question = convert(question, 'zh-cn') + except Exception as e: + print("ASR Error: ", e) + question = 'Gradio存在一些bug，麦克风模式有时候可能音频还未传入，请重新点击一下语音识别即可' + gr.Warning(question) + return question + +@calculate_time +def LLM_response(question, voice = 'zh-CN-XiaoxiaoNeural', rate = 0, volume = 0, pitch = 0): + answer = llm.generate(question) + print(answer) + try: + tts.predict(answer, voice, rate, volume, pitch , 'answer.wav', 'answer.vtt') + except: + os.system(f'edge-tts --text "{answer}" --voice {voice} --write-media answer.wav') + return 'answer.wav', 'answer.vtt', answer + +@calculate_time +def Talker_response(text, voice = 'zh-CN-XiaoxiaoNeural', rate = 0, volume = 100, pitch = 0, batch_size = 2): + voice = 'zh-CN-XiaoxiaoNeural' if voice not in tts.SUPPORTED_VOICE else voice + talker = SadTalker(lazy_load=True) + driven_audio, driven_vtt, _ = LLM_response(text, voice, rate, volume, pitch) + pose_style = random.randint(0, 45) + video = talker.test(pic_path, + crop_pic_path, + first_coeff_path, + crop_info, + source_image, + driven_audio, + preprocess_type, + is_still_mode, + enhancer, + batch_size, + size_of_image, + pose_style, + facerender, + exp_weight, + use_ref_video, + ref_video, + ref_info, + use_idle_mode, + length_of_audio, + blink_every, + fps=20) + if driven_vtt: + return video, driven_vtt + else: + return video + +def chat_response(system, message, history): + # response = llm.generate(message) + response, history = llm.chat(system, message, history) + print(history) + # 流式输出 + for i in range(len(response)): + time.sleep(0.01) + yield "", history[:-1] + [(message, response[:i+1])] + return "", history + +def human_respone(history, voice = 'zh-CN-XiaoxiaoNeural', rate = 0, volume = 0, pitch = 0, batch_size = 2): + response = history[-1][1] + driven_audio, video_vtt = 'answer.wav', 'answer.vtt' + voice = 'zh-CN-XiaoxiaoNeural' if voice not in tts.SUPPORTED_VOICE else voice + tts.predict(response, voice, rate, volume, pitch, driven_audio, video_vtt) + pose_style = random.randint(0, 45) # 随机选择 + video_path = talker.test(pic_path, + crop_pic_path, + first_coeff_path, + crop_info, + source_image, + driven_audio, + preprocess_type, + is_still_mode, + enhancer, + batch_size, + size_of_image, + pose_style, + facerender, + exp_weight, + use_ref_video, + ref_video, + ref_info, + use_idle_mode, + length_of_audio, + blink_every, + fps=20) + + return video_path, video_vtt + +def modify_system_session(system: str) -> str: + if system is None or len(system) == 0: + system = default_system + llm.clear_history() + return system, system, [] + +def clear_session(): + # clear history + llm.clear_history() + return '', [] + +def main(): + with gr.Blocks(analytics_enabled=False, title = 'Linly-Talker') as inference: + gr.HTML(description) + with gr.Row(): + with gr.Column(): + with gr.Accordion("Advanced Settings(高级设置) ", + open=False): + voice = gr.Dropdown(tts.SUPPORTED_VOICE, + value='zh-CN-XiaoxiaoNeural', + label="Voice") + rate = gr.Slider(minimum=-100, + maximum=100, + value=0, + step=1.0, + label='Rate') + volume = gr.Slider(minimum=0, + maximum=100, + value=100, + step=1, + label='Volume') + pitch = gr.Slider(minimum=-100, + maximum=100, + value=0, + step=1, + label='Pitch') + batch_size = gr.Slider(minimum=1, + maximum=10, + value=1, + step=1, + label='Talker Batch size') + video = gr.Video(label = '数字人问答', scale = 0.5) + video_button = gr.Button("🎬 生成数字人视频（对话后）", variant = 'primary') + + with gr.Column(): + with gr.Row(): + with gr.Column(scale=3): + system_input = gr.Textbox(value=default_system, lines=1, label='System (设定角色)') + with gr.Column(scale=1): + modify_system = gr.Button("🛠️ 设置system并清除历史对话", scale=2) + system_state = gr.Textbox(value=default_system, visible=False) + + chatbot = gr.Chatbot(height=400, show_copy_button=True) + audio = gr.Audio(sources=['microphone','upload'], type="filepath", label='语音对话', autoplay=True) + asr_text = gr.Button('🎤 语音识别（语音对话后点击）') + # 创建一个文本框组件，用于输入 prompt。 + msg = gr.Textbox(label="Prompt/问题") + asr_text.click(fn=Asr,inputs=[audio],outputs=[msg]) + + with gr.Row(): + clear_history = gr.Button("🧹 清除历史对话") + sumbit = gr.Button("🚀 发送", variant = 'primary') + + # # 设置按钮的点击事件。当点击时，调用上面定义的 函数，并传入用户的消息和聊天历史记录，然后更新文本框和聊天机器人组件。 + sumbit.click(chat_response, inputs=[system_input, msg, chatbot], + outputs=[msg, chatbot]) + + # 点击后清空后端存储的聊天记录 + clear_history.click(fn = clear_session, outputs = [msg, chatbot]) + + # 设置system并清除历史对话 + modify_system.click(fn=modify_system_session, + inputs=[system_input], + outputs=[system_state, system_input, chatbot]) + + video_button.click(fn = human_respone, inputs = [chatbot, voice, rate, volume, pitch, batch_size], outputs = [video]) + + with gr.Row(variant='panel'): + with gr.Column(): + gr.Markdown("## Text Examples") + examples = ['应对压力最有效的方法是什么？', + '如何进行时间管理？', + '为什么有些人选择使用纸质地图或寻求方向，而不是依赖GPS设备或智能手机应用程序？', + '近日，苹果公司起诉高通公司，状告其未按照相关合约进行合作，高通方面尚未回应。这句话中“其”指的是谁？', + '三年级同学种树80颗，四、五年级种的棵树比三年级种的2倍多14棵，三个年级共种树多少棵?', + '撰写一篇交响乐音乐会评论，讨论乐团的表演和观众的整体体验。', + '翻译成中文：Luck is a dividend of sweat. The more you sweat, the luckier you get.', + ] + gr.Examples( + examples = examples, + # fn = Talker_response, + inputs = [msg], + # outputs=[gen_video], + # cache_examples = True, + ) + return inference + + + +if __name__ == "__main__": + # llm = LLM(mode='offline').init_model('Linly', 'Linly-AI/Chinese-LLaMA-2-7B-hf') + # llm = LLM(mode='offline').init_model('Gemini', 'gemini-pro', api_key = "your api key") + # llm = LLM(mode='offline').init_model('Qwen', 'Qwen/Qwen-1_8B-Chat') + llm = LLM(mode=mode).init_model('Qwen', 'Qwen/Qwen-1_8B-Chat') + talker = SadTalker(lazy_load=True) + asr = WhisperASR('base') + tts = EdgeTTS() + gr.close_all() + demo = main() + demo.queue() + # demo.launch() + demo.launch(server_name=ip, # 本地端口localhost:127.0.0.1 全局端口转发:"0.0.0.0" + server_port=port, + # 似乎在Gradio4.0以上版本可以不使用证书也可以进行麦克风对话 + ssl_certfile=ssl_certfile, + ssl_keyfile=ssl_keyfile, + ssl_verify=False, + debug=True) \ No newline at end of file diff --git a/app_musetalk.py b/app_musetalk.py new file mode 100644 index 0000000000000000000000000000000000000000..daa0300183b3941bae0cb91e92ccbbe701670e5e --- /dev/null +++ b/app_musetalk.py @@ -0,0 +1,206 @@ +import os +import gradio as gr +from zhconv import convert +from src.cost_time import calculate_time +from configs import * +description = """

+ Linly 智能对话系统 (Linly-Talker) +
+ + [知乎] + [bilibili] + [GitHub] + [个人主页] + +
+ Linly-Talker 是一款智能 AI 对话系统，结合了大型语言模型 (LLMs) 与视觉模型，是一种新颖的人工智能交互方式。 +

+""" + +use_ref_video = False +ref_video = None +ref_info = 'pose' +use_idle_mode = False +length_of_audio = 5 + +@calculate_time +def Asr(audio): + try: + question = asr.transcribe(audio) + question = convert(question, 'zh-cn') + except Exception as e: + print("ASR Error: ", e) + question = 'Gradio存在一些bug，麦克风模式有时候可能音频还未传入，请重新点击一下语音识别即可' + gr.Warning(question) + return question + +@calculate_time +def LLM_response(question, voice = 'zh-CN-XiaoxiaoNeural', rate = 0, volume = 0, pitch = 0): + answer = llm.generate(question) + print(answer) + try: + os.system(f'edge-tts --text "{answer}" --voice {voice} --write-media answer.wav --write-subtitles answer.vtt') + except: + tts.predict(answer, voice, rate, volume, pitch , 'answer.wav', 'answer.vtt') + return 'answer.wav', 'answer.vtt', answer + +@calculate_time +def Talker_response(text, voice, rate, volume, pitch, source_video, bbox_shift): + voice = 'zh-CN-XiaoxiaoNeural' if voice not in tts.SUPPORTED_VOICE else voice + driven_audio, driven_vtt, _ = LLM_response(text, voice, rate, volume, pitch) + + video = musetalker.inference_noprepare(driven_audio, + source_video, + bbox_shift) + + if driven_vtt: + return (video, driven_vtt) + else: + return video + +def main(): + + with gr.Blocks(analytics_enabled=False, title = 'Linly-Talker') as inference: + gr.HTML(description) + with gr.Row(equal_height=False): + with gr.Column(variant='panel'): + with gr.Tabs(elem_id="sadtalker_source_image"): + with gr.TabItem('MuseV Video'): + gr.Markdown("MuseV: need help? please visit MuseVDemo to generate Video https://huggingface.co/spaces/AnchorFake/MuseVDemo") + with gr.Row(): + source_video = gr.Video(label="Reference Video",sources=['upload']) + gr.Markdown("BBox_shift 推荐值下限，在生成初始结果后生成相应的 bbox 范围。如果结果不理想，可以根据该参考值进行调整。\n一般来说，在我们的实验观察中，我们发现正值（向下半部分移动）通常会增加嘴巴的张开度，而负值（向上半部分移动）通常会减少嘴巴的张开度。然而，需要注意的是，这并不是绝对的规则，用户可能需要根据他们的具体需求和期望效果来调整该参数。") + with gr.Row(): + bbox_shift = gr.Number(label="BBox_shift value, px", value=0) + bbox_shift_scale = gr.Textbox(label="bbox_shift_scale", + value="",interactive=False) + + source_video.change(fn=musetalker.prepare_material, inputs=[source_video, bbox_shift], outputs=[source_video, bbox_shift_scale]) + with gr.Tabs(elem_id="question_audio"): + with gr.TabItem('对话'): + with gr.Column(variant='panel'): + question_audio = gr.Audio(sources=['microphone','upload'], type="filepath", label = '语音对话') + input_text = gr.Textbox(label="Input Text", lines=3, info = '文字对话') + with gr.Accordion("Advanced Settings", + open=False, + visible=True) as parameter_article: + voice = gr.Dropdown(tts.SUPPORTED_VOICE, + value='zh-CN-XiaoxiaoNeural', + label="Voice") + rate = gr.Slider(minimum=-100, + maximum=100, + value=0, + step=1.0, + label='Rate') + volume = gr.Slider(minimum=0, + maximum=100, + value=100, + step=1, + label='Volume') + pitch = gr.Slider(minimum=-100, + maximum=100, + value=0, + step=1, + label='Pitch') + + asr_text = gr.Button('语音识别（语音对话后点击）') + asr_text.click(fn=Asr,inputs=[question_audio],outputs=[input_text]) + + + with gr.Tabs(): + gr.Markdown("## Text Examples") + examples = [ + ['应对压力最有效的方法是什么？'], + ['如何进行时间管理？'], + ['为什么有些人选择使用纸质地图或寻求方向，而不是依赖GPS设备或智能手机应用程序？'], + ['近日，苹果公司起诉高通公司，状告其未按照相关合约进行合作，高通方面尚未回应。这句话中“其”指的是谁？'], + ['三年级同学种树80颗，四、五年级种的棵树比三年级种的2倍多14棵，三个年级共种树多少棵?'], + ['撰写一篇交响乐音乐会评论，讨论乐团的表演和观众的整体体验。'], + ['翻译成中文：Luck is a dividend of sweat. The more you sweat, the luckier you get.'], + ] + gr.Examples( + examples = examples, + inputs = [input_text], + ) + + # driven_audio = 'answer.wav' + with gr.Column(variant='panel'): + with gr.TabItem("MuseTalk Video"): + gen_video = gr.Video(label="Generated video", format="mp4") + submit = gr.Button('Generate', elem_id="sadtalker_generate", variant='primary') + examples = [os.path.join('Musetalk/data/video', video) for video in os.listdir("Musetalk/data/video")] + # ['Musetalk/data/video/yongen_musev.mp4', 'Musetalk/data/video/musk_musev.mp4', 'Musetalk/data/video/monalisa_musev.mp4', 'Musetalk/data/video/sun_musev.mp4', 'Musetalk/data/video/seaside4_musev.mp4', 'Musetalk/data/video/sit_musev.mp4', 'Musetalk/data/video/man_musev.mp4'] + + gr.Markdown("## MuseV Video Examples") + gr.Examples( + examples=[ + ['Musetalk/data/video/yongen_musev.mp4', 5], + ['Musetalk/data/video/musk_musev.mp4', 5], + ['Musetalk/data/video/monalisa_musev.mp4', 5], + ['Musetalk/data/video/sun_musev.mp4', 5], + ['Musetalk/data/video/seaside4_musev.mp4', 5], + ['Musetalk/data/video/sit_musev.mp4', 5], + ['Musetalk/data/video/man_musev.mp4', 5] + ], + inputs =[source_video, bbox_shift], + ) + + submit.click( + fn=Talker_response, + inputs=[input_text, + voice, rate, volume, pitch, + source_video, bbox_shift], + outputs=[gen_video] + ) + return inference + +def success_print(text): + print(f"\033[1;31;42m{text}\033[0m") + +def error_print(text): + print(f"\033[1;37;41m{text}\033[0m") + +if __name__ == "__main__": + # llm = LLM(mode='offline').init_model('Linly', 'Linly-AI/Chinese-LLaMA-2-7B-hf') + # llm = LLM(mode='offline').init_model('Gemini', 'gemini-pro', api_key = "your api key") + # llm = LLM(mode='offline').init_model('Qwen', 'Qwen/Qwen-1_8B-Chat') + try: + from LLM import LLM + llm = LLM(mode=mode).init_model('Qwen', 'Qwen/Qwen-1_8B-Chat') + except Exception as e: + error_print(f"LLM is not ready, error: {e}") + error_print("如果使用LLM，请先下载有关的LLM模型") + + try: + from TTS import EdgeTTS + tts = EdgeTTS() + except Exception as e: + error_print(f"EdgeTTS Error: {e}") + error_print("如果使用EdgeTTS，请先下载EdgeTTS库，测试EdgeTTS是否可用") + + try: + from ASR import WhisperASR + asr = WhisperASR('base') + except Exception as e: + error_print(f"ASR Error: {e}") + error_print("如果使用ASR，请先下载ASR相关模型，如Whisper") + + try: + from TFG import MuseTalk_RealTime + musetalker = MuseTalk_RealTime() + musetalker.init_model() + except Exception as e: + error_print(f"MuseTalk Error: {e}") + error_print("如果使用MuseTalk，请先下载MuseTalk相关模型") + gr.close_all() + demo = main() + demo.queue() + + # demo.launch() + demo.launch(server_name=ip, # 本地端口localhost:127.0.0.1 全局端口转发:"0.0.0.0" + server_port=port, + # 似乎在Gradio4.0以上版本可以不使用证书也可以进行麦克风对话 + # ssl_certfile=ssl_certfile, + # ssl_keyfile=ssl_keyfile, + # ssl_verify=False, + debug=True) diff --git a/app_talk.py b/app_talk.py new file mode 100644 index 0000000000000000000000000000000000000000..0bcd86153c185e1db10ef458313e3f145c17dd73 --- /dev/null +++ b/app_talk.py @@ -0,0 +1,239 @@ +import os +import random +import gradio as gr + +from src.cost_time import calculate_time + +from configs import * +os.environ["GRADIO_TEMP_DIR"]= './temp' + +description = """

+ Linly 智能对话系统 (Linly-Talker) +
+ + [知乎] + [bilibili] + [GitHub] + [个人主页] + +
+ Linly-Talker 是一款智能 AI 对话系统，结合了大型语言模型 (LLMs) 与视觉模型，是一种新颖的人工智能交互方式。 +

+""" + +# 设定默认参数值，可修改 +# source_image = r'example.png' +blink_every = True +size_of_image = 256 +preprocess_type = 'crop' +facerender = 'facevid2vid' +enhancer = False +is_still_mode = False + +exp_weight = 1 + +use_ref_video = False +ref_video = None +ref_info = 'pose' +use_idle_mode = False +length_of_audio = 5 + +@calculate_time +def TTS_response(text, + voice, rate, volume, pitch, + am, voc, lang, male, + tts_method = 'PaddleTTS', save_path = 'answer.wav'): + print(text, voice, rate, volume, pitch, am, voc, lang, male, tts_method, save_path) + if tts_method == 'Edge-TTS': + try: + edgetts.predict(text, voice, rate, volume, pitch , 'answer.wav', 'answer.vtt') + except: + os.system(f'edge-tts --text "{text}" --voice {voice} --write-media answer.wav') + return 'answer.wav' + elif tts_method == 'PaddleTTS': + paddletts.predict(text, am, voc, lang = lang, male=male, save_path = save_path) + return save_path + +@calculate_time +def Talker_response(source_image, source_video, method = 'SadTalker', driven_audio = '', batch_size = 2): + # print(source_image, method , driven_audio, batch_size) + if source_video: + source_image = source_video + print(source_image, method , driven_audio, batch_size) + pose_style = random.randint(0, 45) + if method == 'SadTalker': + video = sadtalker.test2(source_image, + driven_audio, + preprocess_type, + is_still_mode, + enhancer, + batch_size, + size_of_image, + pose_style, + facerender, + exp_weight, + use_ref_video, + ref_video, + ref_info, + use_idle_mode, + length_of_audio, + blink_every, + fps=20) + elif method == 'Wav2Lip': + video = wav2lip.predict(source_image, driven_audio, batch_size) + elif method == 'NeRFTalk': + video = nerftalk.predict(driven_audio) + else: + gr.Warning("不支持的方法：" + method) + return None + return video + +def main(): + with gr.Blocks(analytics_enabled=False, title = 'Linly-Talker') as inference: + gr.HTML(description) + with gr.Row(equal_height=False): + with gr.Column(variant='panel'): + with gr.Tabs(): + with gr.Tab("图片人物"): + source_image = gr.Image(label='Source image', type = 'filepath') + + with gr.Tab("视频人物"): + source_video = gr.Video(label="Source video") + + with gr.Tabs(): + input_audio = gr.Audio(sources=['upload', 'microphone'], type="filepath", label = '语音') + input_text = gr.Textbox(label="Input Text", lines=3) + with gr.Column(): + tts_method = gr.Radio(["Edge-TTS", "PaddleTTS"], label="Text To Speech Method (Edge-TTS利用微软的TTS，PaddleSpeech是离线的TTS，不过第一次运行会自动下载模型)", + value = 'Edge-TTS') + + with gr.Tabs("TTS Method"): + # with gr.Accordion("Advanced Settings(高级设置语音参数) ", open=False): + with gr.Tab("Edge-TTS"): + + voice = gr.Dropdown(edgetts.SUPPORTED_VOICE, + value='zh-CN-XiaoxiaoNeural', + label="Voice") + rate = gr.Slider(minimum=-100, + maximum=100, + value=0, + step=1.0, + label='Rate') + volume = gr.Slider(minimum=0, + maximum=100, + value=100, + step=1, + label='Volume') + pitch = gr.Slider(minimum=-100, + maximum=100, + value=0, + step=1, + label='Pitch') + with gr.Tab("PaddleTTS"): + am = gr.Dropdown(["FastSpeech2"], label="声学模型选择", value = 'FastSpeech2') + voc = gr.Dropdown(["PWGan", "HifiGan"], label="声码器选择", value = 'PWGan') + lang = gr.Dropdown(["zh", "en", "mix", "canton"], label="语言选择", value = 'zh') + male = gr.Checkbox(label="男声(Male)", value=False) + with gr.Column(variant='panel'): + batch_size = gr.Slider(minimum=1, + maximum=10, + value=2, + step=1, + label='Talker Batch size') + button_text = gr.Button('语音生成') + button_text.click(fn=TTS_response,inputs=[input_text, voice, rate, volume, pitch, am, voc, lang, male, tts_method], + outputs=[input_audio]) + + with gr.Column(variant='panel'): + with gr.Tabs(): + with gr.TabItem('数字人问答'): + method = gr.Radio(choices = ['SadTalker', 'Wav2Lip', 'NeRFTalk'], value = 'SadTalker', label = '模型选择') + gen_video = gr.Video(label="Generated video", format="mp4", scale=1, autoplay=True) + video_button = gr.Button("提交", variant='primary') + + video_button.click(fn=Talker_response,inputs=[source_image, source_video, method, input_audio, batch_size] , + outputs=[gen_video]) + + with gr.Row(): + examples = [ + [ + 'examples/source_image/full_body_2.png', + '应对压力最有效的方法是什么？', + ], + [ + 'examples/source_image/full_body_1.png', + '如何进行时间管理？', + ], + [ + 'examples/source_image/full3.png', + '为什么有些人选择使用纸质地图或寻求方向，而不是依赖GPS设备或智能手机应用程序？', + ], + [ + 'examples/source_image/full4.jpeg', + '近日，苹果公司起诉高通公司，状告其未按照相关合约进行合作，高通方面尚未回应。这句话中“其”指的是谁？', + ], + [ + 'examples/source_image/art_13.png', + '三年级同学种树80颗，四、五年级种的棵树比三年级种的2倍多14棵，三个年级共种树多少棵?', + ], + [ + 'examples/source_image/art_5.png', + '撰写一篇交响乐音乐会评论，讨论乐团的表演和观众的整体体验。', + ], + ] + gr.Examples(examples=examples, + inputs=[ + source_image, + input_text, + ], + ) + return inference + +if __name__ == "__main__": + try: + from TFG import SadTalker + sadtalker = SadTalker(lazy_load=True) + except Exception as e: + print("SadTalker Error: ", e) + print("如果使用SadTalker，请先下载SadTalker模型") + + try: + from TFG import Wav2Lip + wav2lip = Wav2Lip("checkpoints/wav2lip_gan.pth") + except Exception as e: + print("Wav2Lip Error: ", e) + print("如果使用Wav2Lip，请先下载Wav2Lip模型") + + try: + from TFG import NeRFTalk + nerftalk = NeRFTalk() + nerftalk.init_model('checkpoints/Obama_ave.pth', 'checkpoints/Obama.json') + except Exception as e: + print("ERNeRF Error: ", e) + print("如果使用ERNeRF，请先下载ERNeRF模型") + + try: + from TTS import EdgeTTS + edgetts = EdgeTTS() + except Exception as e: + print("EdgeTTS Error: ", e) + print("如果使用EdgeTTS，请先下载EdgeTTS模型") + + try: + from TTS import PaddleTTS + paddletts = PaddleTTS() + except Exception as e: + print("PaddleTTS Error: ", e) + print("如果使用PaddleTTS，请先下载PaddleTTS模型") + + gr.close_all() + demo = main() + demo.queue() + # demo.launch() + demo.launch(server_name=ip, # 本地端口localhost:127.0.0.1 全局端口转发:"0.0.0.0" + server_port=port, + # 似乎在Gradio4.0以上版本可以不使用证书也可以进行麦克风对话 + ssl_certfile=ssl_certfile, + ssl_keyfile=ssl_keyfile, + ssl_verify=False, + debug=True) \ No newline at end of file diff --git a/app_vits.py b/app_vits.py new file mode 100644 index 0000000000000000000000000000000000000000..1d5c4c916a1459a4a492e24a8486e0e2add2d3b8 --- /dev/null +++ b/app_vits.py @@ -0,0 +1,223 @@ +import os +import random +import gradio as gr +from zhconv import convert +from LLM import LLM +from ASR import WhisperASR, FunASR +from TFG import SadTalker +from TTS import EdgeTTS +from VITS import GPT_SoVITS +from src.cost_time import calculate_time + +from configs import * +os.environ["GRADIO_TEMP_DIR"]= './temp' + +description = """

+ Linly 智能对话系统 (Linly-Talker + GPT-SoVITS) +
+ + [知乎] + [bilibili] + [GitHub] + [个人主页] + [GPT-SoVITS] + +
+ Linly-Talker 是一款智能 AI 对话系统，结合了大型语言模型 (LLMs) 与视觉模型，是一种新颖的人工智能交互方式。 +

+""" + +# 设定默认参数值，可修改 +source_image = r'./inputs/boy.png' +blink_every = True +size_of_image = 256 +preprocess_type = 'crop' +facerender = 'facevid2vid' +enhancer = False +is_still_mode = False +pic_path = "./inputs/boy.png" +crop_pic_path = "./inputs/first_frame_dir_boy/boy.png" +first_coeff_path = "./inputs/first_frame_dir_boy/boy.mat" +crop_info = ((876, 747), (0, 0, 886, 838), [10.382158280494476, 0, 886, 747.7078990925525]) + +exp_weight = 1 + +use_ref_video = False +ref_video = None +ref_info = 'pose' +use_idle_mode = False +length_of_audio = 5 + +@calculate_time +def Asr(audio): + try: + question = asr.transcribe(audio) + question = convert(question, 'zh-cn') + except Exception as e: + print("ASR Error: ", e) + question = 'Gradio 的麦克风有时候可能音频还未传入，请重试一下' + return question + +@calculate_time +def LLM_response(question_audio, question, voice = 'zh-CN-XiaoxiaoNeural', rate = 0, volume = 0, pitch = 0): + answer = llm.generate(question) + print(answer) + if voice in tts.SUPPORTED_VOICE: + try: + tts.predict(answer, voice, rate, volume, pitch , 'answer.wav', 'answer.vtt') + except: + os.system(f'edge-tts --text "{answer}" --voice {voice} --write-media answer.wav --write-subtitles answer.vtt') + elif voice == "克隆烟嗓音": + gpt_path = "../GPT-SoVITS/GPT_weights/yansang-e15.ckpt" + sovits_path = "../GPT-SoVITS/SoVITS_weights/yansang_e16_s144.pth" + vits.load_model(gpt_path, sovits_path) + vits.predict(ref_wav_path = "examples/slicer_opt/vocal_output.wav_10.wav_0000846400_0000957760.wav", + prompt_text = "你为什么要一次一次的伤我的心啊？", + prompt_language = "中文", + text = answer, + text_language = "中英混合", + how_to_cut = "按标点符号切", + save_path = 'answer.wav') + elif voice == "克隆声音": + if question_audio is None: + print("无声音输入，无法克隆声音") + return None, None, None + gpt_path = "GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt" + sovits_path = "GPT_SoVITS/pretrained_models/s2G488k.pth" + vits.load_model(gpt_path, sovits_path) + vits.predict(ref_wav_path = question_audio, + prompt_text = question, + prompt_language = "中文", + text = answer, + text_language = "中英混合", + how_to_cut = "凑四句一切", + save_path = 'answer.wav') + return 'answer.wav', None, answer + +@calculate_time +def Talker_response(question_audio, text, voice = 'zh-CN-XiaoxiaoNeural', rate = 0, volume = 100, pitch = 0, batch_size = 2): + # voice = 'zh-CN-XiaoxiaoNeural' if voice not in tts.SUPPORTED_VOICE else voice + # print(voice , rate , volume , pitch) + driven_audio, driven_vtt, _ = LLM_response(question_audio, text, voice, rate, volume, pitch) + pose_style = random.randint(0, 45) + video = talker.test(pic_path, + crop_pic_path, + first_coeff_path, + crop_info, + source_image, + driven_audio, + preprocess_type, + is_still_mode, + enhancer, + batch_size, + size_of_image, + pose_style, + facerender, + exp_weight, + use_ref_video, + ref_video, + ref_info, + use_idle_mode, + length_of_audio, + blink_every, + fps=20) + if driven_vtt: + return video, driven_vtt + else: + return video + +def main(): + with gr.Blocks(analytics_enabled=False, title = 'Linly-Talker') as inference: + gr.HTML(description) + with gr.Row(equal_height=False): + with gr.Column(variant='panel'): + with gr.Tabs(elem_id="question_audio"): + with gr.TabItem('对话'): + with gr.Column(variant='panel'): + question_audio = gr.Audio(sources=['microphone','upload'], type="filepath", label = '语音对话') + input_text = gr.Textbox(label="Input Text", lines=3) + + with gr.Accordion("Advanced Settings(高级设置语音参数) ", + open=False): + gr.Markdown("若进行克隆声音，声音需要大于3s，小于10s，语音识别后可点击语音对话，否则无法克隆声音") + voice = gr.Dropdown(["克隆声音", "克隆烟嗓音"] + tts.SUPPORTED_VOICE, + value='克隆声音', + label="Voice") + rate = gr.Slider(minimum=-100, + maximum=100, + value=0, + step=1.0, + label='Rate') + volume = gr.Slider(minimum=0, + maximum=100, + value=100, + step=1, + label='Volume') + pitch = gr.Slider(minimum=-100, + maximum=100, + value=0, + step=1, + label='Pitch') + batch_size = gr.Slider(minimum=1, + maximum=10, + value=2, + step=1, + label='Talker Batch size') + asr_text = gr.Button('语音识别（语音对话后点击）') + asr_text.click(fn=Asr,inputs=[question_audio],outputs=[input_text]) + + # with gr.Column(variant='panel'): + # input_text = gr.Textbox(label="Input Text", lines=3) + # text_button = gr.Button("文字对话", variant='primary') + + + with gr.Column(variant='panel'): + with gr.Tabs(): + with gr.TabItem('数字人问答'): + gen_video = gr.Video(label="Generated video", format="mp4", scale=1, autoplay=True) + video_button = gr.Button("提交", variant='primary') + video_button.click(fn=Talker_response,inputs=[question_audio, input_text,voice, rate, volume, pitch, batch_size],outputs=[gen_video]) + + with gr.Row(): + with gr.Column(variant='panel'): + gr.Markdown("## Text Examples") + examples = ['应对压力最有效的方法是什么？', + '如何进行时间管理？', + '为什么有些人选择使用纸质地图或寻求方向，而不是依赖GPS设备或智能手机应用程序？', + '近日，苹果公司起诉高通公司，状告其未按照相关合约进行合作，高通方面尚未回应。这句话中“其”指的是谁？', + '三年级同学种树80颗，四、五年级种的棵树比三年级种的2倍多14棵，三个年级共种树多少棵?', + '撰写一篇交响乐音乐会评论，讨论乐团的表演和观众的整体体验。', + '翻译成中文：Luck is a dividend of sweat. The more you sweat, the luckier you get.', + ] + gr.Examples( + examples = examples, + fn = Talker_response, + inputs = [input_text], + outputs=[gen_video], + # cache_examples = True, + ) + return inference + + + +if __name__ == "__main__": + # llm = LLM(mode='offline').init_model('Linly', 'Linly-AI/Chinese-LLaMA-2-7B-hf') + # llm = LLM(mode='offline').init_model('Gemini', 'gemini-pro', api_key = "your api key") + # llm = LLM(mode='offline').init_model('Qwen', 'Qwen/Qwen-1_8B-Chat') + llm = LLM(mode=mode).init_model('Qwen', 'Qwen/Qwen-1_8B-Chat') + talker = SadTalker(lazy_load=True) + # asr = WhisperASR('base') + asr = FunASR() + tts = EdgeTTS() + vits = GPT_SoVITS() + gr.close_all() + demo = main() + demo.queue() + # demo.launch() + demo.launch(server_name=ip, # 本地端口localhost:127.0.0.1 全局端口转发:"0.0.0.0" + server_port=port, + # 似乎在Gradio4.0以上版本可以不使用证书也可以进行麦克风对话 + ssl_certfile=ssl_certfile, + ssl_keyfile=ssl_keyfile, + ssl_verify=False, + debug=True) \ No newline at end of file diff --git a/colab_webui.ipynb b/colab_webui.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..6d63f891ac65dc137adfb5d05e0fcf10261c93a6 --- /dev/null +++ b/colab_webui.ipynb @@ -0,0 +1,6951 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "gpuType": "T4" + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "accelerator": "GPU" + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# Build environment 环境配置" + ], + "metadata": { + "id": "kGzjw-j308Ec" + } + }, + { + "cell_type": "code", + "source": [ + "# 查看当前使用GPU的CUDA版本\n", + "!nvidia-smi" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "JD7qLbdAu4Rq", + "outputId": "69c62dcb-ee1d-4089-d376-db795e1d38ef" + }, + "execution_count": 1, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Mon Jun 10 13:03:05 2024 \n", + "+---------------------------------------------------------------------------------------+\n", + "| NVIDIA-SMI 535.104.05 Driver Version: 535.104.05 CUDA Version: 12.2 |\n", + "|-----------------------------------------+----------------------+----------------------+\n", + "| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |\n", + "| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |\n", + "| | | MIG M. |\n", + "|=========================================+======================+======================|\n", + "| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |\n", + "| N/A 62C P8 12W / 70W | 0MiB / 15360MiB | 0% Default |\n", + "| | | N/A |\n", + "+-----------------------------------------+----------------------+----------------------+\n", + " \n", + "+---------------------------------------------------------------------------------------+\n", + "| Processes: |\n", + "| GPU GI CI PID Type Process name GPU Memory |\n", + "| ID ID Usage |\n", + "|=======================================================================================|\n", + "| No running processes found |\n", + "+---------------------------------------------------------------------------------------+\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# Git Clone 克隆代码" + ], + "metadata": { + "id": "449w7IYaAJiu" + } + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "OtztAfrnuxi_", + "outputId": "f3a28198-20fe-4340-b374-44aeb2abad29" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "/content\n", + "Cloning into 'Linly-Talker'...\n", + "remote: Enumerating objects: 1431, done.\u001b[K\n", + "remote: Counting objects: 100% (376/376), done.\u001b[K\n", + "remote: Compressing objects: 100% (222/222), done.\u001b[K\n", + "remote: Total 1431 (delta 191), reused 309 (delta 147), pack-reused 1055\u001b[K\n", + "Receiving objects: 100% (1431/1431), 91.21 MiB | 32.80 MiB/s, done.\n", + "Resolving deltas: 100% (610/610), done.\n", + "/content/Linly-Talker\n" + ] + } + ], + "source": [ + "%cd /content/\n", + "!git clone https://github.com/Kedreamix/Linly-Talker\n", + "%cd /content/Linly-Talker/" + ] + }, + { + "cell_type": "code", + "source": [ + "!pip show torch" + ], + "metadata": { + "id": "vFfb283CKIES", + "outputId": "8c77923b-a89b-4788-a13c-f5b1df3839f9", + "colab": { + "base_uri": "https://localhost:8080/" + } + }, + "execution_count": 3, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Name: torch\n", + "Version: 2.3.0+cu121\n", + "Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration\n", + "Home-page: https://pytorch.org/\n", + "Author: PyTorch Team\n", + "Author-email: packages@pytorch.org\n", + "License: BSD-3\n", + "Location: /usr/local/lib/python3.10/dist-packages\n", + "Requires: filelock, fsspec, jinja2, networkx, nvidia-cublas-cu12, nvidia-cuda-cupti-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-runtime-cu12, nvidia-cudnn-cu12, nvidia-cufft-cu12, nvidia-curand-cu12, nvidia-cusolver-cu12, nvidia-cusparse-cu12, nvidia-nccl-cu12, nvidia-nvtx-cu12, sympy, triton, typing-extensions\n", + "Required-by: fastai, torchaudio, torchtext, torchvision\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# 安装torch\n", + "!pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 --index-url https://download.pytorch.org/whl/cu118\n", + "\n", + "# 默认存在ffmpeg\n", + "# conda install -q ffmpeg # ffmpeg==4.2.2\n", + "\n", + "# 安装依赖\n", + "!pip install -r requirements_app.txt\n", + "\n", + "# QWen安装\n", + "!pip install transformers==4.32.0 accelerate tiktoken einops scipy transformers_stream_generator==0.0.4 peft deepspeed\n", + "\n", + "!pip install --upgrade protobuf" + ], + "metadata": { + "id": "cugz7IdSKJk5", + "outputId": "71a06e74-bd0c-4ca4-b27b-a08be06c270f", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + } + }, + "execution_count": 5, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Looking in indexes: https://download.pytorch.org/whl/cu118\n", + "Collecting torch==2.0.1\n", + " Downloading https://download.pytorch.org/whl/cu118/torch-2.0.1%2Bcu118-cp310-cp310-linux_x86_64.whl (2267.3 MB)\n", + "\u001b[2K 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+ "Successfully built lit\n", + "Installing collected packages: lit, triton, torch, torchvision, torchaudio\n", + " Attempting uninstall: triton\n", + " Found existing installation: triton 2.3.0\n", + " Uninstalling triton-2.3.0:\n", + " Successfully uninstalled triton-2.3.0\n", + " Attempting uninstall: torch\n", + " Found existing installation: torch 2.3.0+cu121\n", + " Uninstalling torch-2.3.0+cu121:\n", + " Successfully uninstalled torch-2.3.0+cu121\n", + " Attempting uninstall: torchvision\n", + " Found existing installation: torchvision 0.18.0+cu121\n", + " Uninstalling torchvision-0.18.0+cu121:\n", + " Successfully uninstalled torchvision-0.18.0+cu121\n", + " Attempting uninstall: torchaudio\n", + " Found existing installation: torchaudio 2.3.0+cu121\n", + " Uninstalling torchaudio-2.3.0+cu121:\n", + " Successfully uninstalled torchaudio-2.3.0+cu121\n", + "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", + "torchtext 0.18.0 requires torch>=2.3.0, but you have torch 2.0.1+cu118 which is incompatible.\u001b[0m\u001b[31m\n", + "\u001b[0mSuccessfully installed lit-15.0.7 torch-2.0.1+cu118 torchaudio-2.0.2+cu118 torchvision-0.15.2+cu118 triton-2.0.0\n", + "Requirement already satisfied: numpy==1.23.4 in /usr/local/lib/python3.10/dist-packages (from -r requirements_app.txt (line 1)) (1.23.4)\n", + "Requirement already satisfied: face_alignment==1.3.5 in /usr/local/lib/python3.10/dist-packages (from -r requirements_app.txt (line 2)) (1.3.5)\n", + "Requirement already satisfied: imageio==2.19.3 in /usr/local/lib/python3.10/dist-packages (from -r requirements_app.txt (line 3)) (2.19.3)\n", + "Requirement already satisfied: imageio-ffmpeg==0.4.7 in /usr/local/lib/python3.10/dist-packages (from -r requirements_app.txt (line 4)) (0.4.7)\n", + "Collecting librosa==0.9.2 (from -r requirements_app.txt (line 5))\n", + " Using 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/usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio==4.16.0->-r requirements_app.txt (line 17)) (0.18.1)\n", + "Requirement already satisfied: pyasn1<0.7.0,>=0.4.6 in /usr/local/lib/python3.10/dist-packages (from pyasn1-modules>=0.2.1->google-auth!=2.24.0,!=2.25.0,<3.0.0.dev0,>=1.32.0->google-api-python-client==2.126.0->-r requirements_app.txt (line 31)) (0.6.0)\n", + "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib~=3.0->gradio==4.16.0->-r requirements_app.txt (line 17)) (1.16.0)\n", + "Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from rich<14.0.0,>=10.11.0->typer[all]<1.0,>=0.9->gradio==4.16.0->-r requirements_app.txt (line 17)) (3.0.0)\n", + "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich<14.0.0,>=10.11.0->typer[all]<1.0,>=0.9->gradio==4.16.0->-r requirements_app.txt (line 17)) (2.16.1)\n", + "Requirement already satisfied: mpmath<1.4.0,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy->torch->face_alignment==1.3.5->-r requirements_app.txt (line 2)) (1.3.0)\n", + "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich<14.0.0,>=10.11.0->typer[all]<1.0,>=0.9->gradio==4.16.0->-r requirements_app.txt (line 17)) (0.1.2)\n", + "Installing collected packages: protobuf, librosa\n", + " Attempting uninstall: protobuf\n", + " Found existing installation: protobuf 5.27.1\n", + " Uninstalling protobuf-5.27.1:\n", + " Successfully uninstalled protobuf-5.27.1\n", + " Attempting uninstall: librosa\n", + " Found existing installation: librosa 0.8.1\n", + " Uninstalling librosa-0.8.1:\n", + " Successfully uninstalled librosa-0.8.1\n", + "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", + "cudf-cu12 24.4.1 requires numba>=0.57, but you have numba 0.56.4 which is incompatible.\n", + "cudf-cu12 24.4.1 requires protobuf<5,>=3.20, but you have protobuf 3.19.6 which is incompatible.\n", + "note-seq 0.0.5 requires protobuf>=4.21.2, but you have protobuf 3.19.6 which is incompatible.\n", + "onnx 1.16.1 requires protobuf>=3.20.2, but you have protobuf 3.19.6 which is incompatible.\n", + "paddleaudio 1.1.0 requires librosa==0.8.1, but you have librosa 0.9.2 which is incompatible.\n", + "paddlenlp 2.8.0 requires protobuf>=3.20.2; platform_system != \"Windows\", but you have protobuf 3.19.6 which is incompatible.\n", + "paddlepaddle 2.5.2 requires protobuf>=3.20.2; platform_system != \"Windows\", but you have protobuf 3.19.6 which is incompatible.\n", + "paddlespeech 1.4.1 requires librosa==0.8.1, but you have librosa 0.9.2 which is incompatible.\n", + "tensorboardx 2.6.2.2 requires protobuf>=3.20, but you have protobuf 3.19.6 which is incompatible.\n", + "tensorflow 2.15.0 requires numpy<2.0.0,>=1.23.5, but you have numpy 1.23.4 which is incompatible.\n", + "tensorflow 2.15.0 requires protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3, but you have protobuf 3.19.6 which is incompatible.\n", + "tensorflow-datasets 4.9.5 requires protobuf>=3.20, but you have protobuf 3.19.6 which is incompatible.\n", + "tensorflow-metadata 1.15.0 requires protobuf<4.21,>=3.20.3; python_version < \"3.11\", but you have protobuf 3.19.6 which is incompatible.\n", + "visualdl 2.5.3 requires protobuf>=3.20.0, but you have protobuf 3.19.6 which is incompatible.\u001b[0m\u001b[31m\n", + "\u001b[0mSuccessfully installed librosa-0.9.2 protobuf-3.19.6\n" + ] + }, + { + "output_type": "display_data", + "data": { + "application/vnd.colab-display-data+json": { + "pip_warning": { + "packages": [ + "google" + ] + }, + "id": "7a9db0a887c94145b88c8aac6da682ef" + } + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: transformers==4.32.0 in /usr/local/lib/python3.10/dist-packages (4.32.0)\n", + "Requirement already satisfied: accelerate in /usr/local/lib/python3.10/dist-packages (0.31.0)\n", + "Requirement already satisfied: tiktoken in /usr/local/lib/python3.10/dist-packages (0.7.0)\n", + "Requirement already satisfied: einops in /usr/local/lib/python3.10/dist-packages (0.8.0)\n", + "Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (1.10.1)\n", + "Requirement already satisfied: transformers_stream_generator==0.0.4 in /usr/local/lib/python3.10/dist-packages (0.0.4)\n", + "Requirement already satisfied: peft in /usr/local/lib/python3.10/dist-packages (0.11.1)\n", + "Requirement already satisfied: deepspeed in /usr/local/lib/python3.10/dist-packages (0.14.2)\n", + "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers==4.32.0) (3.14.0)\n", + "Requirement already satisfied: huggingface-hub<1.0,>=0.15.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.32.0) (0.23.2)\n", + "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.32.0) (1.23.4)\n", + "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers==4.32.0) (24.1)\n", + "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.32.0) (6.0.1)\n", + "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.32.0) (2024.5.15)\n", + "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers==4.32.0) (2.32.3)\n", + "Requirement already satisfied: tokenizers!=0.11.3,<0.14,>=0.11.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.32.0) (0.13.3)\n", + "Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.32.0) (0.4.3)\n", + "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers==4.32.0) (4.65.2)\n", + "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate) (5.9.5)\n", + "Requirement already satisfied: torch>=1.10.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (2.0.1+cu118)\n", + "Requirement already satisfied: hjson in /usr/local/lib/python3.10/dist-packages (from deepspeed) (3.1.0)\n", + "Requirement already satisfied: ninja in /usr/local/lib/python3.10/dist-packages (from deepspeed) (1.11.1.1)\n", + "Requirement already satisfied: py-cpuinfo in /usr/local/lib/python3.10/dist-packages (from deepspeed) (9.0.0)\n", + "Requirement already satisfied: pydantic in /usr/local/lib/python3.10/dist-packages (from deepspeed) (2.7.3)\n", + "Requirement already satisfied: pynvml in /usr/local/lib/python3.10/dist-packages (from deepspeed) (11.5.0)\n", + "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.15.1->transformers==4.32.0) (2023.6.0)\n", + "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.15.1->transformers==4.32.0) (4.12.1)\n", + "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.32.0) (3.3.2)\n", + "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.32.0) (3.7)\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.32.0) (1.26.18)\n", + "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.32.0) (2024.6.2)\n", + "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (1.12.1)\n", + "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.3)\n", + "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.1.4)\n", + "Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (2.0.0)\n", + "Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.10.0->accelerate) (3.27.9)\n", + "Requirement already satisfied: lit in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.10.0->accelerate) (15.0.7)\n", + "Requirement already satisfied: annotated-types>=0.4.0 in /usr/local/lib/python3.10/dist-packages (from pydantic->deepspeed) (0.7.0)\n", + "Requirement already satisfied: pydantic-core==2.18.4 in /usr/local/lib/python3.10/dist-packages (from pydantic->deepspeed) (2.18.4)\n", + "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.10.0->accelerate) (2.1.5)\n", + "Requirement already satisfied: mpmath<1.4.0,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.10.0->accelerate) (1.3.0)\n", + "Requirement already satisfied: protobuf in /usr/local/lib/python3.10/dist-packages (3.19.6)\n", + "Collecting protobuf\n", + " Using cached protobuf-5.27.1-cp38-abi3-manylinux2014_x86_64.whl (309 kB)\n", + "Installing collected packages: protobuf\n", + " Attempting uninstall: protobuf\n", + " Found existing installation: protobuf 3.19.6\n", + " Uninstalling protobuf-3.19.6:\n", + " Successfully uninstalled protobuf-3.19.6\n", + "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", + "cudf-cu12 24.4.1 requires numba>=0.57, but you have numba 0.56.4 which is incompatible.\n", + "cudf-cu12 24.4.1 requires protobuf<5,>=3.20, but you have protobuf 5.27.1 which is incompatible.\n", + "google-ai-generativelanguage 0.6.4 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-api-core 2.11.1 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0.dev0,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-aiplatform 1.52.0 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-bigquery-connection 1.12.1 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-bigquery-storage 2.25.0 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-datastore 2.15.2 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-firestore 2.11.1 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-functions 1.13.3 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-iam 2.15.0 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-language 2.13.3 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-resource-manager 1.12.3 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-translate 3.11.3 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "grpc-google-iam-v1 0.13.0 requires protobuf!=3.20.0,!=3.20.1,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "paddlespeech 1.4.1 requires librosa==0.8.1, but you have librosa 0.9.2 which is incompatible.\n", + "proto-plus 1.23.0 requires protobuf<5.0.0dev,>=3.19.0, but you have protobuf 5.27.1 which is incompatible.\n", + "tensorflow 2.15.0 requires numpy<2.0.0,>=1.23.5, but you have numpy 1.23.4 which is incompatible.\n", + "tensorflow 2.15.0 requires protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3, but you have protobuf 5.27.1 which is incompatible.\n", + "tensorflow-metadata 1.15.0 requires protobuf<4.21,>=3.20.3; python_version < \"3.11\", but you have protobuf 5.27.1 which is incompatible.\u001b[0m\u001b[31m\n", + "\u001b[0mSuccessfully installed protobuf-5.27.1\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# 测试pytorch的cuda是否可用\n", + "import torch\n", + "torch.cuda.is_available()\n", + "\n", + "print(torch.__version__)\n", + "print(torch.cuda.get_device_name(0))\n", + "print(torch.cuda.device_count())\n", + "print(torch.cuda.current_device())\n", + "print(torch.cuda.is_available())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "qVPi14TbYAk1", + "outputId": "cdd4b8ab-a696-45dd-f28e-68c2e9bb93ab" + }, + "execution_count": 6, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "2.0.1+cu118\n", + "Tesla T4\n", + "1\n", + "0\n", + "True\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# 若想使用语音克隆请，安装语音克隆对应的依赖\n", + "\n", + "# !pip install -r VITS/requirements_gptsovits.txt" + ], + "metadata": { + "id": "5ghozl_z20rI", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "outputId": "7be9338e-0695-41bf-a724-93a55dffb788" + }, + "execution_count": 16, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: librosa==0.9.2 in /usr/local/lib/python3.10/dist-packages (from -r VITS/requirements_gptsovits.txt (line 1)) (0.9.2)\n", + "Collecting numba==0.56.4 (from -r VITS/requirements_gptsovits.txt (line 2))\n", + " 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antlr4-python3-runtime, jaconv, oss2, aliyun-python-sdk-core, crcmod\n", + " Building wheel for pyopenjtalk (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", + " Created wheel for pyopenjtalk: filename=pyopenjtalk-0.3.3-cp310-cp310-linux_x86_64.whl size=5354578 sha256=ae2eaf820e39cefa31f249f2a6eaa7b2125a72329b03431a6647337e4543fba6\n", + " Stored in directory: /root/.cache/pip/wheels/64/a9/5f/19eedcf7741bcd1494dc8782b6842e433314793492cc9167c9\n", + " Building wheel for jieba_fast (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + " Created wheel for jieba_fast: filename=jieba_fast-0.53-cp310-cp310-linux_x86_64.whl size=7658020 sha256=568e2ef9cd28c8e7ac2c126e817fc407a0f7f2d98736b6fae7f2000f22ab28f3\n", + " Stored in directory: /root/.cache/pip/wheels/90/bc/2e/ec85cb24f946d722725b17fc7aa1afca0c2dcfd727d540a06a\n", + " Building wheel for distance (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + " Created wheel for distance: filename=Distance-0.1.3-py3-none-any.whl size=16258 sha256=dc51396627d657a02b9a70b6f9fe61a17885f44ed3bc2a0b00e83dc0a86be638\n", + " Stored in directory: /root/.cache/pip/wheels/e8/bb/de/f71bf63559ea9a921059a5405806f7ff6ed612a9231c4a9309\n", + " Building wheel for antlr4-python3-runtime (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + " Created wheel for antlr4-python3-runtime: filename=antlr4_python3_runtime-4.9.3-py3-none-any.whl size=144554 sha256=70f0e91c9f37aceef03bdd81f2f49bd7ffa54a77f5065aebf40d758fe682e5e6\n", + " Stored in directory: /root/.cache/pip/wheels/12/93/dd/1f6a127edc45659556564c5730f6d4e300888f4bca2d4c5a88\n", + " Building wheel for jaconv (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + " Created wheel for jaconv: filename=jaconv-0.3.4-py3-none-any.whl size=16416 sha256=71267f48bf3eeedf9fa91087270fd7f2c13d905367a9125e1e7ebe1422661237\n", + " Stored in directory: /root/.cache/pip/wheels/46/8f/2e/a730bf1fca05b33e532d5d91dabdf406c9b718ec85b01b1b54\n", + " Building wheel for oss2 (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + " Created wheel for oss2: filename=oss2-2.18.5-py3-none-any.whl size=118148 sha256=5b5492bc71f4d7d0250cfa6087f78076d450bafc0e3b649d2036b4410ca56bdf\n", + " Stored in directory: /root/.cache/pip/wheels/c5/ec/94/a908b823ad209d91fb3cb809c0553032e496dd3d36218e4596\n", + " Building wheel for aliyun-python-sdk-core (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + " Created wheel for aliyun-python-sdk-core: filename=aliyun_python_sdk_core-2.15.1-py3-none-any.whl size=535325 sha256=6aa78cea23113152ff9cd2f686cae2ad89f15a83cc43714841e995fe24ef5dab\n", + " Stored in directory: /root/.cache/pip/wheels/69/4b/8e/0a28e00f4cf43b273c18cce083804738d41013e017da922ce4\n", + " Building wheel for crcmod (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + " Created wheel for crcmod: filename=crcmod-1.7-cp310-cp310-linux_x86_64.whl size=31411 sha256=31db22667aadf26b8cc0687abde2653c228b359de0f2cfa77c75bb8f845a66bc\n", + " Stored in directory: /root/.cache/pip/wheels/85/4c/07/72215c529bd59d67e3dac29711d7aba1b692f543c808ba9e86\n", + "Successfully built pyopenjtalk jieba_fast distance antlr4-python3-runtime jaconv oss2 aliyun-python-sdk-core crcmod\n", + "Installing collected packages: jieba_fast, jamo, jaconv, distance, crcmod, antlr4-python3-runtime, addict, xxhash, torch-complex, tensorboardX, simplejson, requests, pytorch-wpe, pypinyin, pyopenjtalk, py3langid, proces, omegaconf, llvmlite, lightning-utilities, kaldiio, jmespath, humanfriendly, ffmpeg-python, dill, beartype, yapf, numba, multiprocess, LangSegment, hydra-core, coloredlogs, cn2an, pynndescent, onnxruntime, aliyun-python-sdk-core, umap-learn, torchmetrics, rotary-embedding-torch, g2p_en, datasets, aliyun-python-sdk-kms, pytorch-lightning, oss2, modelscope, funasr\n", + " Attempting uninstall: requests\n", + " Found existing installation: requests 2.31.0\n", + " Uninstalling requests-2.31.0:\n", + " Successfully uninstalled requests-2.31.0\n", + " Attempting uninstall: llvmlite\n", + " Found existing installation: llvmlite 0.41.1\n", + " Uninstalling llvmlite-0.41.1:\n", + " Successfully uninstalled llvmlite-0.41.1\n", + " Attempting uninstall: numba\n", + " Found existing installation: numba 0.58.1\n", + " Uninstalling numba-0.58.1:\n", + " Successfully uninstalled numba-0.58.1\n", + "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", + "bigframes 1.8.0 requires scikit-learn>=1.2.2, but you have scikit-learn 1.1.3 which is incompatible.\n", + "cudf-cu12 24.4.1 requires numba>=0.57, but you have numba 0.56.4 which is incompatible.\n", + "cudf-cu12 24.4.1 requires protobuf<5,>=3.20, but you have protobuf 5.27.1 which is incompatible.\n", + "google-api-core 2.11.1 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0.dev0,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-aiplatform 1.52.0 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-bigquery-connection 1.12.1 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-bigquery-storage 2.25.0 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-datastore 2.15.2 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-firestore 2.11.1 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-functions 1.13.3 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-iam 2.15.0 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-language 2.13.3 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-resource-manager 1.12.3 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-translate 3.11.3 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-colab 1.0.0 requires requests==2.31.0, but you have requests 2.32.3 which is incompatible.\n", + "rmm-cu12 24.4.0 requires numba>=0.57, but you have numba 0.56.4 which is incompatible.\n", + "tensorflow 2.15.0 requires numpy<2.0.0,>=1.23.5, but you have numpy 1.23.4 which is incompatible.\n", + "tensorflow 2.15.0 requires protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3, but you have protobuf 5.27.1 which is incompatible.\u001b[0m\u001b[31m\n", + "\u001b[0mSuccessfully installed LangSegment-0.3.3 addict-2.4.0 aliyun-python-sdk-core-2.15.1 aliyun-python-sdk-kms-2.16.3 antlr4-python3-runtime-4.9.3 beartype-0.18.5 cn2an-0.5.22 coloredlogs-15.0.1 crcmod-1.7 datasets-2.19.2 dill-0.3.8 distance-0.1.3 ffmpeg-python-0.2.0 funasr-1.0.27 g2p_en-2.1.0 humanfriendly-10.0 hydra-core-1.3.2 jaconv-0.3.4 jamo-0.4.1 jieba_fast-0.53 jmespath-0.10.0 kaldiio-2.18.0 lightning-utilities-0.11.2 llvmlite-0.39.1 modelscope-1.10.0 multiprocess-0.70.16 numba-0.56.4 omegaconf-2.3.0 onnxruntime-1.18.0 oss2-2.18.5 proces-0.1.7 py3langid-0.2.2 pynndescent-0.5.12 pyopenjtalk-0.3.3 pypinyin-0.51.0 pytorch-lightning-2.2.5 pytorch-wpe-0.0.1 requests-2.32.3 rotary-embedding-torch-0.6.2 simplejson-3.19.2 tensorboardX-2.6.2.2 torch-complex-0.4.3 torchmetrics-1.4.0.post0 umap-learn-0.5.6 xxhash-3.4.1 yapf-0.40.2\n" + ] + }, + { + "output_type": "display_data", + "data": { + "application/vnd.colab-display-data+json": { + "pip_warning": { + "packages": [ + "pydevd_plugins" + ] + }, + "id": "354d1befcb9d4d89adef5d335fbdf02d" + } + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# 若希望使用NeRF-based等模型等话，可能需要安装一下对应的环境\n", + "\n", + "# pip install \"git+https://github.com/facebookresearch/pytorch3d.git\"\n", + "# pip install -r TFG/requirements_nerf.txt\n", + "\n", + "# 若pyaudio出现问题，可安装对应依赖\n", + "# sudo apt-get install libasound-dev portaudio19-dev libportaudio2 libportaudiocpp0\n", + "\n", + "# 注意以下几个模块，若安装不成功，可以进入路径利用pip install . 或者 python setup.py install编译安装\n", + "# NeRF/freqencoder\n", + "# NeRF/gridencoder\n", + "# NeRF/raymarching\n", + "# NeRF/shencoder" + ], + "metadata": { + "id": "-PXWYeLhKrXF" + }, + "execution_count": 6, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# 若使用PaddleTTS，可安装对应的环境\n", + "# !pip install -r TTS/requirements_paddle.txt" + ], + "metadata": { + "id": "1ikKSSqtKmZZ", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "outputId": "d781c703-2c54-4405-e7b0-f3ae8ae63b8c" + }, + "execution_count": 19, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Collecting paddlepaddle==2.5.2 (from -r TTS/requirements_paddle.txt (line 1))\n", + " Downloading paddlepaddle-2.5.2-cp310-cp310-manylinux1_x86_64.whl (126.5 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m126.5/126.5 MB\u001b[0m \u001b[31m4.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hCollecting paddlespeech==1.4.1 (from -r TTS/requirements_paddle.txt (line 2))\n", + " Downloading paddlespeech-1.4.1-py3-none-any.whl (1.4 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.4/1.4 MB\u001b[0m \u001b[31m66.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + 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praatio, ppft, pox, portalocker, pattern-singleton, parameterized, packaging, opencv-python, onnx, mock, loguru, ligo-segments, jsonlines, jedi, intervaltree, g2pM, ftfy, dill, colorlog, bottleneck, boltons, bce-python-sdk, av, astor, tool-helpers, sacrebleu, ruamel.yaml, pypinyin-dict, paddlespeech-feat, paddlesde, multiprocess, mido, matplotlib, seqeval, requests-mock, pretty-midi, pathos, paddleslim, paddlepaddle, paddlefsl, paddle2onnx, nara-wpe, hyperpyyaml, Flask-Babel, aistudio-sdk, visualdl, librosa, paddlenlp, paddleaudio, note-seq, ppdiffusers, paddlespeech\n", + " Attempting uninstall: urllib3\n", + " Found existing installation: urllib3 2.0.7\n", + " Uninstalling urllib3-2.0.7:\n", + " Successfully uninstalled urllib3-2.0.7\n", + " Attempting uninstall: pypinyin\n", + " Found existing installation: pypinyin 0.51.0\n", + " Uninstalling pypinyin-0.51.0:\n", + " Successfully uninstalled pypinyin-0.51.0\n", + " Attempting uninstall: packaging\n", + " Found existing installation: packaging 24.0\n", + " Uninstalling packaging-24.0:\n", + " Successfully uninstalled packaging-24.0\n", + " Attempting uninstall: opencv-python\n", + " Found existing installation: opencv-python 4.8.0.76\n", + " Uninstalling opencv-python-4.8.0.76:\n", + " Successfully uninstalled opencv-python-4.8.0.76\n", + " Attempting uninstall: dill\n", + " Found existing installation: dill 0.3.8\n", + " Uninstalling dill-0.3.8:\n", + " Successfully uninstalled dill-0.3.8\n", + " Attempting uninstall: multiprocess\n", + " Found existing installation: multiprocess 0.70.16\n", + " Uninstalling multiprocess-0.70.16:\n", + " Successfully uninstalled multiprocess-0.70.16\n", + " Attempting uninstall: matplotlib\n", + " Found existing installation: matplotlib 3.7.1\n", + " Uninstalling matplotlib-3.7.1:\n", + " Successfully uninstalled matplotlib-3.7.1\n", + " Attempting uninstall: librosa\n", + " Found existing installation: librosa 0.9.2\n", + " Uninstalling librosa-0.9.2:\n", + " Successfully uninstalled librosa-0.9.2\n", + "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", + "bigframes 1.8.0 requires scikit-learn>=1.2.2, but you have scikit-learn 1.1.3 which is incompatible.\n", + "cudf-cu12 24.4.1 requires numba>=0.57, but you have numba 0.56.4 which is incompatible.\n", + "cudf-cu12 24.4.1 requires protobuf<5,>=3.20, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-aiplatform 1.52.0 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "tensorflow 2.15.0 requires numpy<2.0.0,>=1.23.5, but you have numpy 1.23.4 which is incompatible.\n", + "tensorflow 2.15.0 requires protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3, but you have protobuf 5.27.1 which is incompatible.\u001b[0m\u001b[31m\n", + "\u001b[0mSuccessfully installed Flask-Babel-4.0.0 ToJyutping-0.2.3 aistudio-sdk-0.2.4 astor-0.8.1 av-12.1.0 bce-python-sdk-0.9.14 boltons-24.0.0 bottleneck-1.3.8 braceexpand-0.1.7 colorlog-6.8.2 dill-0.3.4 ftfy-6.2.0 g2pM-0.1.2.5 hyperpyyaml-1.2.2 intervaltree-3.1.0 jedi-0.19.1 jsonlines-4.0.0 librosa-0.8.1 ligo-segments-1.4.0 loguru-0.7.2 matplotlib-3.8.4 mido-1.3.2 mock-5.1.0 multiprocess-0.70.12.2 nara-wpe-0.0.9 note-seq-0.0.5 onnx-1.16.1 opencc-1.1.1 opencc-python-reimplemented-0.1.7 opencv-python-4.6.0.66 packaging-23.2 paddle2onnx-1.2.3 paddleaudio-1.1.0 paddlefsl-1.1.0 paddlenlp-2.8.0 paddlepaddle-2.5.2 paddlesde-0.2.5 paddleslim-2.6.0 paddlespeech-1.4.1 paddlespeech-feat-0.1.0 parameterized-0.9.0 pathos-0.2.8 pattern-singleton-1.2.0 portalocker-2.8.2 pox-0.3.4 ppdiffusers-0.24.0 ppft-1.7.6.8 praatio-5.1.1 pretty-midi-0.2.10 pybind11-2.12.0 pygtrie-2.5.0 pypinyin-0.44.0 pypinyin-dict-0.8.0 pyworld-0.3.4 rarfile-4.2 requests-mock-1.12.1 ruamel.yaml-0.18.6 ruamel.yaml.clib-0.2.8 sacrebleu-2.4.2 seqeval-1.2.2 swig-4.2.1 textgrid-1.6.1 timer-0.3.0 tool-helpers-0.1.1 trampoline-0.1.2 typeguard-2.13.3 urllib3-1.26.18 visualdl-2.5.3 webrtcvad-2.0.10 zhon-2.0.2\n" + ] + }, + { + "output_type": "display_data", + "data": { + "application/vnd.colab-display-data+json": { + "pip_warning": { + "packages": [ + "matplotlib", + "mpl_toolkits" + ] + }, + "id": "37a638fa7f9641b699f5154ec255fa55" + } + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# 若使用FunASR，可安装对应的环境\n", + "# !pip install -r ASR/requirements_funasr.txt" + ], + "metadata": { + "id": "SgHZzd9uKpJP", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "64ccb2d3-097c-4326-ce32-5cd7a2e8911b" + }, + "execution_count": 4, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: funasr in /usr/local/lib/python3.10/dist-packages (from -r ASR/requirements_funasr.txt (line 1)) (1.0.27)\n", + "Requirement already satisfied: modelscope in /usr/local/lib/python3.10/dist-packages (from -r ASR/requirements_funasr.txt (line 2)) (1.10.0)\n", + "Requirement already satisfied: scipy>=1.4.1 in /usr/local/lib/python3.10/dist-packages (from funasr->-r ASR/requirements_funasr.txt (line 1)) (1.10.1)\n", + "Requirement already satisfied: librosa in /usr/local/lib/python3.10/dist-packages (from funasr->-r ASR/requirements_funasr.txt (line 1)) (0.8.1)\n", + "Requirement already satisfied: jamo in /usr/local/lib/python3.10/dist-packages (from funasr->-r ASR/requirements_funasr.txt (line 1)) (0.4.1)\n", + "Requirement already satisfied: PyYAML>=5.1.2 in /usr/local/lib/python3.10/dist-packages (from funasr->-r ASR/requirements_funasr.txt (line 1)) (6.0.1)\n", + "Requirement already satisfied: soundfile>=0.12.1 in /usr/local/lib/python3.10/dist-packages (from funasr->-r ASR/requirements_funasr.txt (line 1)) (0.12.1)\n", + "Requirement already satisfied: kaldiio>=2.17.0 in /usr/local/lib/python3.10/dist-packages (from funasr->-r ASR/requirements_funasr.txt (line 1)) (2.18.0)\n", + "Requirement already satisfied: 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satisfied: cryptography>=2.6.0 in /usr/local/lib/python3.10/dist-packages (from aliyun-python-sdk-core>=2.13.12->oss2->funasr->-r ASR/requirements_funasr.txt (line 1)) (42.0.7)\n", + "Requirement already satisfied: pycparser in /usr/local/lib/python3.10/dist-packages (from cffi>=1.0->soundfile>=0.12.1->funasr->-r ASR/requirements_funasr.txt (line 1)) (2.22)\n", + "Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.14.5->modelscope->-r ASR/requirements_funasr.txt (line 2)) (1.3.1)\n", + "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.14.5->modelscope->-r ASR/requirements_funasr.txt (line 2)) (1.4.1)\n", + "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.14.5->modelscope->-r ASR/requirements_funasr.txt (line 2)) (6.0.5)\n", + "Requirement already satisfied: yarl<2.0,>=1.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.14.5->modelscope->-r ASR/requirements_funasr.txt (line 2)) (1.9.4)\n", + "Requirement already satisfied: async-timeout<5.0,>=4.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets>=2.14.5->modelscope->-r ASR/requirements_funasr.txt (line 2)) (4.0.3)\n", + "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.21.2->datasets>=2.14.5->modelscope->-r ASR/requirements_funasr.txt (line 2)) (4.12.1)\n", + "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.10/dist-packages (from importlib-metadata>=6.6.0->yapf->modelscope->-r ASR/requirements_funasr.txt (line 2)) (3.19.1)\n", + "Requirement already satisfied: llvmlite<0.40,>=0.39.0dev0 in /usr/local/lib/python3.10/dist-packages (from numba>=0.43.0->librosa->funasr->-r ASR/requirements_funasr.txt (line 1)) (0.39.1)\n", + "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn!=0.19.0,>=0.14.0->librosa->funasr->-r ASR/requirements_funasr.txt (line 1)) (3.5.0)\n", + "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch->openai-whisper->funasr->-r ASR/requirements_funasr.txt (line 1)) (1.12.1)\n", + "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch->openai-whisper->funasr->-r ASR/requirements_funasr.txt (line 1)) (3.3)\n", + "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch->openai-whisper->funasr->-r ASR/requirements_funasr.txt (line 1)) (3.1.4)\n", + "Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch->openai-whisper->funasr->-r ASR/requirements_funasr.txt (line 1)) (12.1.105)\n", + "Requirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch->openai-whisper->funasr->-r ASR/requirements_funasr.txt (line 1)) (12.1.105)\n", + "Requirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch->openai-whisper->funasr->-r ASR/requirements_funasr.txt (line 1)) (12.1.105)\n", + "Requirement already satisfied: nvidia-cudnn-cu12==8.9.2.26 in /usr/local/lib/python3.10/dist-packages (from torch->openai-whisper->funasr->-r ASR/requirements_funasr.txt (line 1)) (8.9.2.26)\n", + "Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /usr/local/lib/python3.10/dist-packages (from torch->openai-whisper->funasr->-r ASR/requirements_funasr.txt (line 1)) (12.1.3.1)\n", + "Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /usr/local/lib/python3.10/dist-packages (from torch->openai-whisper->funasr->-r ASR/requirements_funasr.txt (line 1)) (11.0.2.54)\n", + "Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in /usr/local/lib/python3.10/dist-packages (from torch->openai-whisper->funasr->-r ASR/requirements_funasr.txt (line 1)) (10.3.2.106)\n", + "Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in /usr/local/lib/python3.10/dist-packages (from torch->openai-whisper->funasr->-r ASR/requirements_funasr.txt (line 1)) (11.4.5.107)\n", + "Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in /usr/local/lib/python3.10/dist-packages (from torch->openai-whisper->funasr->-r ASR/requirements_funasr.txt (line 1)) (12.1.0.106)\n", + "Requirement already satisfied: nvidia-nccl-cu12==2.20.5 in /usr/local/lib/python3.10/dist-packages (from torch->openai-whisper->funasr->-r ASR/requirements_funasr.txt (line 1)) (2.20.5)\n", + "Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch->openai-whisper->funasr->-r ASR/requirements_funasr.txt (line 1)) (12.1.105)\n", + "Requirement already satisfied: nvidia-nvjitlink-cu12 in /usr/local/lib/python3.10/dist-packages (from nvidia-cusolver-cu12==11.4.5.107->torch->openai-whisper->funasr->-r ASR/requirements_funasr.txt (line 1)) (12.5.40)\n", + "Requirement already satisfied: regex>=2022.1.18 in /usr/local/lib/python3.10/dist-packages (from tiktoken->openai-whisper->funasr->-r ASR/requirements_funasr.txt (line 1)) (2024.5.15)\n", + "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch->openai-whisper->funasr->-r ASR/requirements_funasr.txt (line 1)) (2.1.5)\n", + "Requirement already satisfied: mpmath<1.4.0,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy->torch->openai-whisper->funasr->-r ASR/requirements_funasr.txt (line 1)) (1.3.0)\n", + "Installing collected packages: requests\n", + " Attempting uninstall: requests\n", + " Found existing installation: requests 2.28.2\n", + " Uninstalling requests-2.28.2:\n", + " Successfully uninstalled requests-2.28.2\n", + "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", + "bigframes 1.8.0 requires scikit-learn>=1.2.2, but you have scikit-learn 1.1.3 which is incompatible.\n", + "google-api-core 2.11.1 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0.dev0,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-aiplatform 1.52.0 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-bigquery-connection 1.12.1 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-bigquery-storage 2.25.0 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-datastore 2.15.2 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-firestore 2.11.1 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-functions 1.13.3 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-iam 2.15.0 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-language 2.13.3 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-resource-manager 1.12.3 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-translate 3.11.3 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-colab 1.0.0 requires requests==2.31.0, but you have requests 2.32.3 which is incompatible.\n", + "openxlab 0.1.0 requires requests~=2.28.2, but you have requests 2.32.3 which is incompatible.\n", + "tensorflow 2.15.0 requires numpy<2.0.0,>=1.23.5, but you have numpy 1.23.4 which is incompatible.\n", + "tensorflow 2.15.0 requires protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3, but you have protobuf 5.27.1 which is incompatible.\u001b[0m\u001b[31m\n", + "\u001b[0mSuccessfully installed requests-2.32.3\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# 若使用MuesTalk模型，可安装环境\n", + "\n", + "!pip install --no-cache-dir -U openmim\n", + "!mim install mmengine\n", + "!mim install \"mmcv>=2.0.1\"\n", + "!mim install \"mmdet>=3.1.0\"\n", + "!mim install \"mmpose>=1.1.0\"\n", + "!pip install -r TFG/requirements_musetalk.txt" + ], + "metadata": { + "id": "gjGwWWrkKykb", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "a055506d-80bb-4cf4-9ec8-791dd54800ba" + }, + "execution_count": 7, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: openmim in /usr/local/lib/python3.10/dist-packages (0.3.9)\n", + "Requirement already satisfied: Click in /usr/local/lib/python3.10/dist-packages (from openmim) (8.1.7)\n", + "Requirement already satisfied: colorama in /usr/local/lib/python3.10/dist-packages (from openmim) (0.4.6)\n", + "Requirement already satisfied: model-index in /usr/local/lib/python3.10/dist-packages (from openmim) (0.1.11)\n", + "Requirement already satisfied: opendatalab in /usr/local/lib/python3.10/dist-packages (from openmim) (0.0.10)\n", + "Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from openmim) (2.0.3)\n", + "Requirement already satisfied: pip>=19.3 in /usr/local/lib/python3.10/dist-packages (from openmim) (23.1.2)\n", + "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from openmim) (2.32.3)\n", + "Requirement already satisfied: rich in /usr/local/lib/python3.10/dist-packages (from openmim) (13.4.2)\n", + "Requirement already satisfied: tabulate in /usr/local/lib/python3.10/dist-packages (from openmim) (0.9.0)\n", + "Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/dist-packages (from model-index->openmim) (6.0.1)\n", + "Requirement already satisfied: markdown in /usr/local/lib/python3.10/dist-packages (from model-index->openmim) (3.6)\n", + "Requirement already satisfied: ordered-set in /usr/local/lib/python3.10/dist-packages (from model-index->openmim) (4.1.0)\n", + "Requirement already satisfied: pycryptodome in /usr/local/lib/python3.10/dist-packages (from opendatalab->openmim) (3.20.0)\n", + "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from opendatalab->openmim) (4.65.2)\n", + "Requirement already satisfied: openxlab in /usr/local/lib/python3.10/dist-packages (from opendatalab->openmim) (0.1.0)\n", + "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->openmim) (3.3.2)\n", + "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->openmim) (3.7)\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->openmim) (1.26.18)\n", + "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->openmim) (2024.6.2)\n", + "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas->openmim) (2.8.2)\n", + "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->openmim) (2023.4)\n", + "Requirement already satisfied: tzdata>=2022.1 in /usr/local/lib/python3.10/dist-packages (from pandas->openmim) (2024.1)\n", + "Requirement already satisfied: numpy>=1.21.0 in /usr/local/lib/python3.10/dist-packages (from pandas->openmim) (1.23.4)\n", + "Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from rich->openmim) (3.0.0)\n", + "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich->openmim) (2.16.1)\n", + "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich->openmim) (0.1.2)\n", + "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas->openmim) (1.16.0)\n", + "Requirement already satisfied: filelock~=3.14.0 in /usr/local/lib/python3.10/dist-packages (from openxlab->opendatalab->openmim) (3.14.0)\n", + "Requirement already satisfied: oss2~=2.17.0 in /usr/local/lib/python3.10/dist-packages (from openxlab->opendatalab->openmim) (2.17.0)\n", + "Requirement already satisfied: packaging~=24.0 in /usr/local/lib/python3.10/dist-packages (from openxlab->opendatalab->openmim) (24.1)\n", + "Collecting requests (from openmim)\n", + " Downloading requests-2.28.2-py3-none-any.whl (62 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m62.8/62.8 kB\u001b[0m \u001b[31m849.6 kB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hRequirement already satisfied: setuptools~=60.2.0 in /usr/local/lib/python3.10/dist-packages (from openxlab->opendatalab->openmim) (60.2.0)\n", + "Requirement already satisfied: crcmod>=1.7 in /usr/local/lib/python3.10/dist-packages (from oss2~=2.17.0->openxlab->opendatalab->openmim) (1.7)\n", + "Requirement already satisfied: aliyun-python-sdk-kms>=2.4.1 in /usr/local/lib/python3.10/dist-packages (from oss2~=2.17.0->openxlab->opendatalab->openmim) (2.16.3)\n", + "Requirement already satisfied: aliyun-python-sdk-core>=2.13.12 in /usr/local/lib/python3.10/dist-packages (from oss2~=2.17.0->openxlab->opendatalab->openmim) (2.15.1)\n", + "Requirement already satisfied: jmespath<1.0.0,>=0.9.3 in /usr/local/lib/python3.10/dist-packages (from aliyun-python-sdk-core>=2.13.12->oss2~=2.17.0->openxlab->opendatalab->openmim) (0.10.0)\n", + "Requirement already satisfied: cryptography>=2.6.0 in /usr/local/lib/python3.10/dist-packages (from aliyun-python-sdk-core>=2.13.12->oss2~=2.17.0->openxlab->opendatalab->openmim) (42.0.7)\n", + "Requirement already satisfied: cffi>=1.12 in /usr/local/lib/python3.10/dist-packages (from cryptography>=2.6.0->aliyun-python-sdk-core>=2.13.12->oss2~=2.17.0->openxlab->opendatalab->openmim) (1.16.0)\n", + "Requirement already satisfied: pycparser in /usr/local/lib/python3.10/dist-packages (from cffi>=1.12->cryptography>=2.6.0->aliyun-python-sdk-core>=2.13.12->oss2~=2.17.0->openxlab->opendatalab->openmim) (2.22)\n", + "Installing collected packages: requests\n", + " Attempting uninstall: requests\n", + " Found existing installation: requests 2.32.3\n", + " Uninstalling requests-2.32.3:\n", + " Successfully uninstalled requests-2.32.3\n", + "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", + "bigframes 1.8.0 requires scikit-learn>=1.2.2, but you have scikit-learn 1.1.3 which is incompatible.\n", + "datasets 2.19.2 requires requests>=2.32.1, but you have requests 2.28.2 which is incompatible.\n", + "google-api-core 2.11.1 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0.dev0,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-aiplatform 1.52.0 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-bigquery-connection 1.12.1 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-bigquery-storage 2.25.0 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-datastore 2.15.2 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-firestore 2.11.1 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-functions 1.13.3 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-iam 2.15.0 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-language 2.13.3 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-resource-manager 1.12.3 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-cloud-translate 3.11.3 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.1 which is incompatible.\n", + "google-colab 1.0.0 requires requests==2.31.0, but you have requests 2.28.2 which is incompatible.\n", + "paddlespeech 1.4.1 requires librosa==0.8.1, but you have librosa 0.9.2 which is incompatible.\n", + "tensorflow 2.15.0 requires numpy<2.0.0,>=1.23.5, but you have numpy 1.23.4 which is incompatible.\n", + "tensorflow 2.15.0 requires protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3, but you have protobuf 5.27.1 which is incompatible.\n", + "torchtext 0.18.0 requires torch>=2.3.0, but you have torch 2.0.1+cu118 which is incompatible.\n", + "yfinance 0.2.40 requires requests>=2.31, but you have requests 2.28.2 which is incompatible.\u001b[0m\u001b[31m\n", + "\u001b[0mSuccessfully installed requests-2.28.2\n", + "Looking in links: https://download.openmmlab.com/mmcv/dist/cu118/torch2.0.0/index.html\n", + "Requirement already satisfied: mmengine in /usr/local/lib/python3.10/dist-packages (0.10.4)\n", + "Requirement already satisfied: addict in /usr/local/lib/python3.10/dist-packages (from mmengine) (2.4.0)\n", + "Requirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (from mmengine) (3.8.4)\n", + "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from mmengine) (1.23.4)\n", + "Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/dist-packages (from mmengine) (6.0.1)\n", + "Requirement already satisfied: 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packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->mmengine) (24.1)\n", + "Requirement already satisfied: pillow>=8 in /usr/local/lib/python3.10/dist-packages (from matplotlib->mmengine) (9.4.0)\n", + "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->mmengine) (3.1.2)\n", + "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib->mmengine) (2.8.2)\n", + "Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from rich->mmengine) (3.0.0)\n", + "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich->mmengine) (2.16.1)\n", + "Requirement already satisfied: importlib-metadata>=6.6.0 in /usr/local/lib/python3.10/dist-packages (from yapf->mmengine) (7.1.0)\n", + "Requirement already satisfied: platformdirs>=3.5.1 in /usr/local/lib/python3.10/dist-packages (from yapf->mmengine) (4.2.2)\n", + "Requirement already satisfied: tomli>=2.0.1 in /usr/local/lib/python3.10/dist-packages (from yapf->mmengine) (2.0.1)\n", + "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.10/dist-packages (from importlib-metadata>=6.6.0->yapf->mmengine) (3.19.1)\n", + "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich->mmengine) (0.1.2)\n", + "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib->mmengine) (1.16.0)\n", + "Looking in links: https://download.openmmlab.com/mmcv/dist/cu118/torch2.0.0/index.html\n", + "Requirement already satisfied: mmcv>=2.0.1 in /usr/local/lib/python3.10/dist-packages (2.2.0)\n", + "Requirement already satisfied: addict in /usr/local/lib/python3.10/dist-packages (from mmcv>=2.0.1) (2.4.0)\n", + "Requirement already satisfied: mmengine>=0.3.0 in 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mmengine>=0.3.0->mmcv>=2.0.1) (13.4.2)\n", + "Requirement already satisfied: termcolor in /usr/local/lib/python3.10/dist-packages (from mmengine>=0.3.0->mmcv>=2.0.1) (2.4.0)\n", + "Requirement already satisfied: importlib-metadata>=6.6.0 in /usr/local/lib/python3.10/dist-packages (from yapf->mmcv>=2.0.1) (7.1.0)\n", + "Requirement already satisfied: platformdirs>=3.5.1 in /usr/local/lib/python3.10/dist-packages (from yapf->mmcv>=2.0.1) (4.2.2)\n", + "Requirement already satisfied: tomli>=2.0.1 in /usr/local/lib/python3.10/dist-packages (from yapf->mmcv>=2.0.1) (2.0.1)\n", + "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.10/dist-packages (from importlib-metadata>=6.6.0->yapf->mmcv>=2.0.1) (3.19.1)\n", + "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->mmengine>=0.3.0->mmcv>=2.0.1) (1.2.1)\n", + "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib->mmengine>=0.3.0->mmcv>=2.0.1) (0.12.1)\n", + "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->mmengine>=0.3.0->mmcv>=2.0.1) (4.53.0)\n", + "Requirement already satisfied: kiwisolver>=1.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->mmengine>=0.3.0->mmcv>=2.0.1) (1.4.5)\n", + "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->mmengine>=0.3.0->mmcv>=2.0.1) (3.1.2)\n", + "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib->mmengine>=0.3.0->mmcv>=2.0.1) (2.8.2)\n", + "Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from rich->mmengine>=0.3.0->mmcv>=2.0.1) (3.0.0)\n", + "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich->mmengine>=0.3.0->mmcv>=2.0.1) (2.16.1)\n", + "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich->mmengine>=0.3.0->mmcv>=2.0.1) (0.1.2)\n", + "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib->mmengine>=0.3.0->mmcv>=2.0.1) (1.16.0)\n", + "Looking in links: https://download.openmmlab.com/mmcv/dist/cu118/torch2.0.0/index.html\n", + "Collecting mmdet>=3.1.0\n", + " Using cached mmdet-3.3.0-py3-none-any.whl (2.2 MB)\n", + "Requirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (from mmdet>=3.1.0) (3.8.4)\n", + "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from mmdet>=3.1.0) (1.23.4)\n", + "Requirement already satisfied: pycocotools in /usr/local/lib/python3.10/dist-packages (from mmdet>=3.1.0) (2.0.7)\n", + "Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from mmdet>=3.1.0) (1.10.1)\n", + "Requirement already satisfied: shapely in /usr/local/lib/python3.10/dist-packages (from mmdet>=3.1.0) (2.0.4)\n", + "Requirement already satisfied: six in /usr/local/lib/python3.10/dist-packages (from mmdet>=3.1.0) (1.16.0)\n", + "Collecting terminaltables (from mmdet>=3.1.0)\n", + " Using cached terminaltables-3.1.10-py2.py3-none-any.whl (15 kB)\n", + "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from mmdet>=3.1.0) (4.65.2)\n", + "Collecting mmcv<2.2.0,>=2.0.0rc4 (from mmdet>=3.1.0)\n", + " Downloading https://download.openmmlab.com/mmcv/dist/cu118/torch2.0.0/mmcv-2.1.0-cp310-cp310-manylinux1_x86_64.whl (98.6 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m98.6/98.6 MB\u001b[0m \u001b[31m6.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hRequirement already satisfied: mmengine<1.0.0,>=0.7.1 in /usr/local/lib/python3.10/dist-packages (from mmdet>=3.1.0) (0.10.4)\n", + "Requirement already 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"Requirement already satisfied: semantic-version~=2.0 in /usr/local/lib/python3.10/dist-packages (from gradio->spaces->-r TFG/requirements_musetalk.txt (line 18)) (2.10.0)\n", + "Requirement already satisfied: tomlkit==0.12.0 in /usr/local/lib/python3.10/dist-packages (from gradio->spaces->-r TFG/requirements_musetalk.txt (line 18)) (0.12.0)\n", + "Requirement already satisfied: typer[all]<1.0,>=0.9 in /usr/local/lib/python3.10/dist-packages (from gradio->spaces->-r TFG/requirements_musetalk.txt (line 18)) (0.9.4)\n", + "Requirement already satisfied: uvicorn>=0.14.0 in /usr/local/lib/python3.10/dist-packages (from gradio->spaces->-r TFG/requirements_musetalk.txt (line 18)) (0.30.1)\n", + "Requirement already satisfied: websockets<12.0,>=10.0 in /usr/local/lib/python3.10/dist-packages (from gradio-client==0.8.1->gradio->spaces->-r TFG/requirements_musetalk.txt (line 18)) (11.0.3)\n", + "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.10/dist-packages (from 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(3.0.0)\n", + "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich<14.0.0,>=10.11.0->typer[all]<1.0,>=0.9->gradio->spaces->-r TFG/requirements_musetalk.txt (line 18)) (2.16.1)\n", + "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich<14.0.0,>=10.11.0->typer[all]<1.0,>=0.9->gradio->spaces->-r TFG/requirements_musetalk.txt (line 18)) (0.1.2)\n", + "Installing collected packages: opencv-python, tokenizers, diffusers, transformers, spaces, accelerate\n", + " Attempting uninstall: opencv-python\n", + " Found existing installation: opencv-python 4.6.0.66\n", + " Uninstalling opencv-python-4.6.0.66:\n", + " Successfully uninstalled opencv-python-4.6.0.66\n", + " Attempting uninstall: tokenizers\n", + " Found existing installation: tokenizers 0.13.3\n", + " Uninstalling tokenizers-0.13.3:\n", + " Successfully uninstalled tokenizers-0.13.3\n", + " Attempting uninstall: transformers\n", + " Found existing installation: transformers 4.32.0\n", + " Uninstalling transformers-4.32.0:\n", + " Successfully uninstalled transformers-4.32.0\n", + " Attempting uninstall: accelerate\n", + " Found existing installation: accelerate 0.31.0\n", + " Uninstalling accelerate-0.31.0:\n", + " Successfully uninstalled accelerate-0.31.0\n", + "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", + "paddleslim 2.6.0 requires opencv-python==4.6.0.66, but you have opencv-python 4.9.0.80 which is incompatible.\n", + "paddlespeech 1.4.1 requires librosa==0.8.1, but you have librosa 0.9.2 which is incompatible.\u001b[0m\u001b[31m\n", + "\u001b[0mSuccessfully installed accelerate-0.28.0 diffusers-0.27.2 opencv-python-4.9.0.80 spaces-0.28.3 tokenizers-0.15.2 transformers-4.39.2\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "安装可以后重启一下，才能使用新安装的库" + ], + "metadata": { + "id": "dAaPl8kkAsP2" + } + }, + { + "cell_type": "markdown", + "source": [ + "# Download pretrained models 下载预训练模型" + ], + "metadata": { + "id": "0LqH8VZt1D6W" + } + }, + { + "cell_type": "code", + "source": [ + "%cd /content/Linly-Talker/\n", + "\n", + "# 在colab推荐使用huggingface下载，方式2\n", + "!sh scripts/download_models.sh" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "LkFCAh4x1P4U", + "outputId": "e1be0b05-acbb-4d2d-c10f-c6eec52a9eb9" + }, + "execution_count": 10, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "/content/Linly-Talker\n", + "Please select a model download method:\n", + "请选择模型下载方式：\n", + "1. Download from ModelScope (No resuming capability)\n", + "1. 从 ModelScope 下载（无断点续传功能）\n", + "2. Download from Huggingface (With resuming capability)\n", + "2. 从 Huggingface 下载（有断点续传功能）\n", + "3. Download from Huggingface mirror site (Possibly faster)\n", + "3. 从 Huggingface 镜像站点下载（镜像可能快一点）\n", + "Enter 1, 2, or 3 to choose a download method: 2\n", + "Downloading models from Huggingface...\n", + "正在从 Huggingface 下载模型...\n", + "/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py:1194: UserWarning: `local_dir_use_symlinks` parameter is deprecated and will be ignored. The process to download files to a local folder has been updated and do not rely on symlinks anymore. You only need to pass a destination folder as`local_dir`.\n", + "For more details, check out https://huggingface.co/docs/huggingface_hub/main/en/guides/download#download-files-to-local-folder.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n", + " warnings.warn(\n", + "Fetching 65 files: 0% 0/65 [00:00\n", + " demo.launch(server_name=ip, # 本地端口localhost:127.0.0.1 全局端口转发:\"0.0.0.0\"\n", + " File \"/usr/local/lib/python3.10/dist-packages/gradio/blocks.py\", line 2129, in launch\n", + " self.block_thread()\n", + " File \"/usr/local/lib/python3.10/dist-packages/gradio/blocks.py\", line 2235, in block_thread\n", + " print(\"Keyboard interruption in main thread... closing server.\")\n", + "KeyboardInterrupt\n", + "Killing tunnel 127.0.0.1:6006 <> https://a261bf5ac34031b46a.gradio.live\n", + "\u001b[0m" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "%cd /content/Linly-Talker/\n", + "\n", + "!python webui.py" + ], + "metadata": { + "id": "LdUowoDW2HDI", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "92361a94-a98c-49c6-c186-a4e1f7ae6584" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "/content/Linly-Talker\n", + "Gemini模型加载失败，可能是因为没有google-generativeai库，但是Gemini模型不是必顂的，可以忽略\n", + "/usr/local/lib/python3.10/dist-packages/_distutils_hack/__init__.py:36: UserWarning: Setuptools is replacing distutils.\n", + " warnings.warn(\"Setuptools is replacing distutils.\")\n", + "WARNING:transformers_modules.Qwen-1_8B-Chat.modeling_qwen:The model is automatically converting to fp16 for faster inference. If you want to disable the automatic precision, please manually add bf16/fp16/fp32=True to \"AutoModelForCausalLM.from_pretrained\".\n", + "WARNING:transformers_modules.Qwen-1_8B-Chat.modeling_qwen:Try importing flash-attention for faster inference...\n", + "WARNING:transformers_modules.Qwen-1_8B-Chat.modeling_qwen:Warning: import flash_attn rotary fail, please install FlashAttention rotary to get higher efficiency https://github.com/Dao-AILab/flash-attention/tree/main/csrc/rotary\n", + "WARNING:transformers_modules.Qwen-1_8B-Chat.modeling_qwen:Warning: import flash_attn rms_norm fail, please install FlashAttention layer_norm to get higher efficiency https://github.com/Dao-AILab/flash-attention/tree/main/csrc/layer_norm\n", + "WARNING:transformers_modules.Qwen-1_8B-Chat.modeling_qwen:Warning: import flash_attn fail, please install FlashAttention to get higher efficiency https://github.com/Dao-AILab/flash-attention\n", + "Loading checkpoint shards: 100% 2/2 [00:21<00:00, 10.58s/steps]\n", + "\u001b[1;32;40mSuccess!!! LLM模块加载成功，默认使用Qwen模型\u001b[0m\n", + "/usr/local/lib/python3.10/dist-packages/torch/_utils.py:776: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()\n", + "GPT_SoVITS导入成功\n", + "XTTS导入失败，原因： No module named 'langid'\n", + "使用XTTS语音克隆前需要安装对应的环境，请执行 pip install -r VITS/requirements_xtts.txt\n", + "\u001b[1;32;40mSuccess!!! GPT-SoVITS模块加载成功，语音克隆默认使用GPT-SoVITS模型\u001b[0m\n", + "ERNeRF导入失败，原因： No module named 'trimesh'\n", + "使用ERNeRF前需要安装对应的环境\n", + "error: XDG_RUNTIME_DIR not set in the environment.\n", + "ALSA lib confmisc.c:855:(parse_card) cannot find card '0'\n", + "ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_card_inum returned error: No such file or directory\n", + "ALSA lib confmisc.c:422:(snd_func_concat) error evaluating strings\n", + "ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory\n", + "ALSA lib confmisc.c:1334:(snd_func_refer) error evaluating name\n", + "ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory\n", + "ALSA lib conf.c:5701:(snd_config_expand) Evaluate error: No such file or directory\n", + "ALSA lib pcm.c:2664:(snd_pcm_open_noupdate) Unknown PCM default\n", + "ALSA lib confmisc.c:855:(parse_card) cannot find card '0'\n", + "ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_card_inum returned error: No such file or directory\n", + "ALSA lib confmisc.c:422:(snd_func_concat) error evaluating strings\n", + "ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory\n", + "ALSA lib confmisc.c:1334:(snd_func_refer) error evaluating name\n", + "ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory\n", + "ALSA lib conf.c:5701:(snd_config_expand) Evaluate error: No such file or directory\n", + "ALSA lib pcm.c:2664:(snd_pcm_open_noupdate) Unknown PCM default\n", + "[2024-06-10 13:48:09,585] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)\n", + "\u001b[93m [WARNING] \u001b[0m async_io requires the dev libaio .so object and headers but these were not found.\n", + "\u001b[93m [WARNING] \u001b[0m async_io: please install the libaio-dev package with apt\n", + "\u001b[93m [WARNING] \u001b[0m If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.\n", + "\u001b[93m [WARNING] \u001b[0m Please specify the CUTLASS repo directory as environment variable $CUTLASS_PATH\n", + "\u001b[93m [WARNING] \u001b[0m NVIDIA Inference is only supported on Ampere and newer architectures\n", + "\u001b[93m [WARNING] \u001b[0m sparse_attn requires a torch version >= 1.5 and < 2.0 but detected 2.0\n", + "\u001b[93m [WARNING] \u001b[0m using untested triton version (2.0.0), only 1.0.0 is known to be compatible\n", + "Loads checkpoint by local backend from path: ./Musetalk/models/dwpose/dw-ll_ucoco_384.pth\n", + "Downloading: \"https://www.adrianbulat.com/downloads/python-fan/s3fd-619a316812.pth\" to /root/.cache/torch/hub/checkpoints/s3fd-619a316812.pth\n", + "100% 85.7M/85.7M [00:04<00:00, 21.4MB/s]\n", + "using safetensor as default\n", + "\u001b[1;32;40mSuccess!!! SadTalker模块加载成功，默认使用SadTalker模型\u001b[0m\n", + "\u001b[1;32;40mSuccess!!! WhisperASR模块加载成功，默认使用Whisper-base模型\u001b[0m\n", + "IMPORTANT: You are using gradio version 4.16.0, however version 4.29.0 is available, please upgrade.\n", + "--------\n", + "Running on local URL: http://127.0.0.1:6006\n", + "Running on public URL: https://e629b62a903b99dbd3.gradio.live\n", + "\n", + "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + 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)" + ], + "metadata": { + "id": "NE_pESA4aZOK" + } + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "NgSKg7g5acFs" + }, + "execution_count": null, + "outputs": [] + } + ] +} \ No newline at end of file diff --git a/configs.py b/configs.py new file mode 100644 index 0000000000000000000000000000000000000000..161ea57da75e3664bd7c315d605941a4c3e16341 --- /dev/null +++ b/configs.py @@ -0,0 +1,15 @@ +# 设备运行端口 (Device running port) +port = 6006 +# api运行端口及IP (API running port and IP) +mode = 'api' # api 需要先运行Linly-api-fast.py，暂时仅仅适用于Linly +ip = '127.0.0.1' +api_port = 7871 + +# L模型路径 (Linly model path) 已不用了 +mode = 'offline' +model_path = 'Qwen/Qwen-1_8B-Chat' + +# ssl证书 (SSL certificate) 麦克风对话需要此参数 +# 最好调整为绝对路径 +ssl_certfile = "./https_cert/cert.pem" +ssl_keyfile = "./https_cert/key.pem" \ No newline at end of file diff --git a/docs/Alipay.jpg b/docs/Alipay.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ec3066a83561b0e34390b400b62df01a61b2a81a Binary files /dev/null and b/docs/Alipay.jpg differ diff --git a/docs/Certificate.md b/docs/Certificate.md new file mode 100644 index 0000000000000000000000000000000000000000..5f3f429abe832ef8d4a6ffe4cf47983f2c12c92c --- /dev/null +++ b/docs/Certificate.md @@ -0,0 +1,36 @@ +# OpenSSL Certificate for HTTPS + +When launching Gradio locally, you may encounter HTTPS-related issues like microphone access being blocked. To resolve this, you can use OpenSSL to configure HTTPS. + +## Generate Certificate and Key + +Use OpenSSL to generate a self-signed certificate and private key: + +``` +openssl req -x509 -newkey rsa:4096 -keyout key.pem -out cert.pem -sha256 -days 365 -nodes +``` + +This will generate `cert.pem` and `key.pem` in the current directory. + +## Launch Gradio with HTTPS + +Launch Gradio by specifying the certificate and key: + +```python +demo.launch( + server_name="0.0.0.0", + ssl_certfile="/path/to/cert.pem", + ssl_keyfile="/path/to/key.pem" +) +``` + +By providing the SSL certificate and key, Gradio will launch an HTTPS server instead of HTTP. + +The benefits of HTTPS include: + +- Enabling browser features like microphone access +- Avoiding mixed content issues +- Encrypted communication + +In summary, generating a self-signed certificate with OpenSSL and providing it to Gradio enables launching a local HTTPS server, resolving limitations like microphone blocking. 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0000000000000000000000000000000000000000..c073376e4eeda6d4b29cc31c50cb7e88ab42bb73 --- /dev/null +++ b/face_detection/README.md @@ -0,0 +1 @@ +The code for Face Detection in this folder has been taken from the wonderful [face_alignment](https://github.com/1adrianb/face-alignment) repository. This has been modified to take batches of faces at a time. \ No newline at end of file diff --git a/face_detection/__init__.py b/face_detection/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..4bae29fd5f85b41e4669302bd2603bc6924eddc7 --- /dev/null +++ b/face_detection/__init__.py @@ -0,0 +1,7 @@ +# -*- coding: utf-8 -*- + +__author__ = """Adrian Bulat""" +__email__ = 'adrian.bulat@nottingham.ac.uk' +__version__ = '1.0.1' + +from .api import FaceAlignment, LandmarksType, NetworkSize diff --git a/face_detection/api.py b/face_detection/api.py new file mode 100644 index 0000000000000000000000000000000000000000..cb02d5252db5362b9985687a992e128a522e5b63 --- /dev/null +++ b/face_detection/api.py @@ -0,0 +1,79 @@ +from __future__ import print_function +import os +import torch +from torch.utils.model_zoo import load_url +from enum import Enum +import numpy as np +import cv2 +try: + import urllib.request as request_file +except BaseException: + import urllib as request_file + +from .models import FAN, ResNetDepth +from .utils import * + + +class LandmarksType(Enum): + """Enum class defining the type of landmarks to detect. + + ``_2D`` - the detected points ``(x,y)`` are detected in a 2D space and follow the visible contour of the face + ``_2halfD`` - this points represent the projection of the 3D points into 3D + ``_3D`` - detect the points ``(x,y,z)``` in a 3D space + + """ + _2D = 1 + _2halfD = 2 + _3D = 3 + + +class NetworkSize(Enum): + # TINY = 1 + # SMALL = 2 + # MEDIUM = 3 + LARGE = 4 + + def __new__(cls, value): + member = object.__new__(cls) + member._value_ = value + return member + + def __int__(self): + return self.value + +ROOT = os.path.dirname(os.path.abspath(__file__)) + +class FaceAlignment: + def __init__(self, landmarks_type, network_size=NetworkSize.LARGE, + device='cuda', flip_input=False, face_detector='sfd', verbose=False): + self.device = device + self.flip_input = flip_input + self.landmarks_type = landmarks_type + self.verbose = verbose + + network_size = int(network_size) + + if 'cuda' in device: + torch.backends.cudnn.benchmark = True + + # Get the face detector + face_detector_module = __import__('face_detection.detection.' + face_detector, + globals(), locals(), [face_detector], 0) + self.face_detector = face_detector_module.FaceDetector(device=device, verbose=verbose) + + def get_detections_for_batch(self, images): + images = images[..., ::-1] + detected_faces = self.face_detector.detect_from_batch(images.copy()) + results = [] + + for i, d in enumerate(detected_faces): + if len(d) == 0: + results.append(None) + continue + d = d[0] + d = np.clip(d, 0, None) + + x1, y1, x2, y2 = map(int, d[:-1]) + results.append((x1, y1, x2, y2)) + + return results \ No newline at end of file diff --git a/face_detection/detection/__init__.py b/face_detection/detection/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..1a6b0402dae864a3cc5dc2a90a412fd842a0efc7 --- /dev/null +++ b/face_detection/detection/__init__.py @@ -0,0 +1 @@ +from .core import FaceDetector \ No newline at end of file diff --git a/face_detection/detection/core.py b/face_detection/detection/core.py new file mode 100644 index 0000000000000000000000000000000000000000..0f8275e8e53143f66298f75f0517c234a68778cd --- /dev/null +++ b/face_detection/detection/core.py @@ -0,0 +1,130 @@ +import logging +import glob +from tqdm import tqdm +import numpy as np +import torch +import cv2 + + +class FaceDetector(object): + """An abstract class representing a face detector. + + Any other face detection implementation must subclass it. All subclasses + must implement ``detect_from_image``, that return a list of detected + bounding boxes. Optionally, for speed considerations detect from path is + recommended. + """ + + def __init__(self, device, verbose): + self.device = device + self.verbose = verbose + + if verbose: + if 'cpu' in device: + logger = logging.getLogger(__name__) + logger.warning("Detection running on CPU, this may be potentially slow.") + + if 'cpu' not in device and 'cuda' not in device: + if verbose: + logger.error("Expected values for device are: {cpu, cuda} but got: %s", device) + raise ValueError + + def detect_from_image(self, tensor_or_path): + """Detects faces in a given image. + + This function detects the faces present in a provided BGR(usually) + image. The input can be either the image itself or the path to it. + + Arguments: + tensor_or_path {numpy.ndarray, torch.tensor or string} -- the path + to an image or the image itself. + + Example:: + + >>> path_to_image = 'data/image_01.jpg' + ... detected_faces = detect_from_image(path_to_image) + [A list of bounding boxes (x1, y1, x2, y2)] + >>> image = cv2.imread(path_to_image) + ... detected_faces = detect_from_image(image) + [A list of bounding boxes (x1, y1, x2, y2)] + + """ + raise NotImplementedError + + def detect_from_directory(self, path, extensions=['.jpg', '.png'], recursive=False, show_progress_bar=True): + """Detects faces from all the images present in a given directory. + + Arguments: + path {string} -- a string containing a path that points to the folder containing the images + + Keyword Arguments: + extensions {list} -- list of string containing the extensions to be + consider in the following format: ``.extension_name`` (default: + {['.jpg', '.png']}) recursive {bool} -- option wherever to scan the + folder recursively (default: {False}) show_progress_bar {bool} -- + display a progressbar (default: {True}) + + Example: + >>> directory = 'data' + ... detected_faces = detect_from_directory(directory) + {A dictionary of [lists containing bounding boxes(x1, y1, x2, y2)]} + + """ + if self.verbose: + logger = logging.getLogger(__name__) + + if len(extensions) == 0: + if self.verbose: + logger.error("Expected at list one extension, but none was received.") + raise ValueError + + if self.verbose: + logger.info("Constructing the list of images.") + additional_pattern = '/**/*' if recursive else '/*' + files = [] + for extension in extensions: + files.extend(glob.glob(path + additional_pattern + extension, recursive=recursive)) + + if self.verbose: + logger.info("Finished searching for images. %s images found", len(files)) + logger.info("Preparing to run the detection.") + + predictions = {} + for image_path in tqdm(files, disable=not show_progress_bar): + if self.verbose: + logger.info("Running the face detector on image: %s", image_path) + predictions[image_path] = self.detect_from_image(image_path) + + if self.verbose: + logger.info("The detector was successfully run on all %s images", len(files)) + + return predictions + + @property + def reference_scale(self): + raise NotImplementedError + + @property + def reference_x_shift(self): + raise NotImplementedError + + @property + def reference_y_shift(self): + raise NotImplementedError + + @staticmethod + def tensor_or_path_to_ndarray(tensor_or_path, rgb=True): + """Convert path (represented as a string) or torch.tensor to a numpy.ndarray + + Arguments: + tensor_or_path {numpy.ndarray, torch.tensor or string} -- path to the image, or the image itself + """ + if isinstance(tensor_or_path, str): + return cv2.imread(tensor_or_path) if not rgb else cv2.imread(tensor_or_path)[..., ::-1] + elif torch.is_tensor(tensor_or_path): + # Call cpu in case its coming from cuda + return tensor_or_path.cpu().numpy()[..., ::-1].copy() if not rgb else tensor_or_path.cpu().numpy() + elif isinstance(tensor_or_path, np.ndarray): + return tensor_or_path[..., ::-1].copy() if not rgb else tensor_or_path + else: + raise TypeError diff --git a/face_detection/detection/sfd/__init__.py b/face_detection/detection/sfd/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..5a63ecd45658f22e66c171ada751fb33764d4559 --- /dev/null +++ b/face_detection/detection/sfd/__init__.py @@ -0,0 +1 @@ +from .sfd_detector import SFDDetector as FaceDetector \ No newline at end of file diff --git a/face_detection/detection/sfd/bbox.py b/face_detection/detection/sfd/bbox.py new file mode 100644 index 0000000000000000000000000000000000000000..4bd7222e5e5f78a51944cbeed3cccbacddc46bed --- /dev/null +++ b/face_detection/detection/sfd/bbox.py @@ -0,0 +1,129 @@ +from __future__ import print_function +import os +import sys +import cv2 +import random +import datetime +import time +import math +import argparse +import numpy as np +import torch + +try: + from iou import IOU +except BaseException: + # IOU cython speedup 10x + def IOU(ax1, ay1, ax2, ay2, bx1, by1, bx2, by2): + sa = abs((ax2 - ax1) * (ay2 - ay1)) + sb = abs((bx2 - bx1) * (by2 - by1)) + x1, y1 = max(ax1, bx1), max(ay1, by1) + x2, y2 = min(ax2, bx2), min(ay2, by2) + w = x2 - x1 + h = y2 - y1 + if w < 0 or h < 0: + return 0.0 + else: + return 1.0 * w * h / (sa + sb - w * h) + + +def bboxlog(x1, y1, x2, y2, axc, ayc, aww, ahh): + xc, yc, ww, hh = (x2 + x1) / 2, (y2 + y1) / 2, x2 - x1, y2 - y1 + dx, dy = (xc - axc) / aww, (yc - ayc) / ahh + dw, dh = math.log(ww / aww), math.log(hh / ahh) + return dx, dy, dw, dh + + +def bboxloginv(dx, dy, dw, dh, axc, ayc, aww, ahh): + xc, yc = dx * aww + axc, dy * ahh + ayc + ww, hh = math.exp(dw) * aww, math.exp(dh) * ahh + x1, x2, y1, y2 = xc - ww / 2, xc + ww / 2, yc - hh / 2, yc + hh / 2 + return x1, y1, x2, y2 + + +def nms(dets, thresh): + if 0 == len(dets): + return [] + x1, y1, x2, y2, scores = dets[:, 0], dets[:, 1], dets[:, 2], dets[:, 3], dets[:, 4] + areas = (x2 - x1 + 1) * (y2 - y1 + 1) + order = scores.argsort()[::-1] + + keep = [] + while order.size > 0: + i = order[0] + keep.append(i) + xx1, yy1 = np.maximum(x1[i], x1[order[1:]]), np.maximum(y1[i], y1[order[1:]]) + xx2, yy2 = np.minimum(x2[i], x2[order[1:]]), np.minimum(y2[i], y2[order[1:]]) + + w, h = np.maximum(0.0, xx2 - xx1 + 1), np.maximum(0.0, yy2 - yy1 + 1) + ovr = w * h / (areas[i] + areas[order[1:]] - w * h) + + inds = np.where(ovr <= thresh)[0] + order = order[inds + 1] + + return keep + + +def encode(matched, priors, variances): + """Encode the variances from the priorbox layers into the ground truth boxes + we have matched (based on jaccard overlap) with the prior boxes. + Args: + matched: (tensor) Coords of ground truth for each prior in point-form + Shape: [num_priors, 4]. + priors: (tensor) Prior boxes in center-offset form + Shape: [num_priors,4]. + variances: (list[float]) Variances of priorboxes + Return: + encoded boxes (tensor), Shape: [num_priors, 4] + """ + + # dist b/t match center and prior's center + g_cxcy = (matched[:, :2] + matched[:, 2:]) / 2 - priors[:, :2] + # encode variance + g_cxcy /= (variances[0] * priors[:, 2:]) + # match wh / prior wh + g_wh = (matched[:, 2:] - matched[:, :2]) / priors[:, 2:] + g_wh = torch.log(g_wh) / variances[1] + # return target for smooth_l1_loss + return torch.cat([g_cxcy, g_wh], 1) # [num_priors,4] + + +def decode(loc, priors, variances): + """Decode locations from predictions using priors to undo + the encoding we did for offset regression at train time. + Args: + loc (tensor): location predictions for loc layers, + Shape: [num_priors,4] + priors (tensor): Prior boxes in center-offset form. + Shape: [num_priors,4]. + variances: (list[float]) Variances of priorboxes + Return: + decoded bounding box predictions + """ + + boxes = torch.cat(( + priors[:, :2] + loc[:, :2] * variances[0] * priors[:, 2:], + priors[:, 2:] * torch.exp(loc[:, 2:] * variances[1])), 1) + boxes[:, :2] -= boxes[:, 2:] / 2 + boxes[:, 2:] += boxes[:, :2] + return boxes + +def batch_decode(loc, priors, variances): + """Decode locations from predictions using priors to undo + the encoding we did for offset regression at train time. + Args: + loc (tensor): location predictions for loc layers, + Shape: [num_priors,4] + priors (tensor): Prior boxes in center-offset form. + Shape: [num_priors,4]. + variances: (list[float]) Variances of priorboxes + Return: + decoded bounding box predictions + """ + + boxes = torch.cat(( + priors[:, :, :2] + loc[:, :, :2] * variances[0] * priors[:, :, 2:], + priors[:, :, 2:] * torch.exp(loc[:, :, 2:] * variances[1])), 2) + boxes[:, :, :2] -= boxes[:, :, 2:] / 2 + boxes[:, :, 2:] += boxes[:, :, :2] + return boxes diff --git a/face_detection/detection/sfd/detect.py b/face_detection/detection/sfd/detect.py new file mode 100644 index 0000000000000000000000000000000000000000..efef6273adf317bc17f3dd0f02423c0701ca218e --- /dev/null +++ b/face_detection/detection/sfd/detect.py @@ -0,0 +1,112 @@ +import torch +import torch.nn.functional as F + +import os +import sys +import cv2 +import random +import datetime +import math +import argparse +import numpy as np + +import scipy.io as sio +import zipfile +from .net_s3fd import s3fd +from .bbox import * + + +def detect(net, img, device): + img = img - np.array([104, 117, 123]) + img = img.transpose(2, 0, 1) + img = img.reshape((1,) + img.shape) + + if 'cuda' in device: + torch.backends.cudnn.benchmark = True + + img = torch.from_numpy(img).float().to(device) + BB, CC, HH, WW = img.size() + with torch.no_grad(): + olist = net(img) + + bboxlist = [] + for i in range(len(olist) // 2): + olist[i * 2] = F.softmax(olist[i * 2], dim=1) + olist = [oelem.data.cpu() for oelem in olist] + for i in range(len(olist) // 2): + ocls, oreg = olist[i * 2], olist[i * 2 + 1] + FB, FC, FH, FW = ocls.size() # feature map size + stride = 2**(i + 2) # 4,8,16,32,64,128 + anchor = stride * 4 + poss = zip(*np.where(ocls[:, 1, :, :] > 0.05)) + for Iindex, hindex, windex in poss: + axc, ayc = stride / 2 + windex * stride, stride / 2 + hindex * stride + score = ocls[0, 1, hindex, windex] + loc = oreg[0, :, hindex, windex].contiguous().view(1, 4) + priors = torch.Tensor([[axc / 1.0, ayc / 1.0, stride * 4 / 1.0, stride * 4 / 1.0]]) + variances = [0.1, 0.2] + box = decode(loc, priors, variances) + x1, y1, x2, y2 = box[0] * 1.0 + # cv2.rectangle(imgshow,(int(x1),int(y1)),(int(x2),int(y2)),(0,0,255),1) + bboxlist.append([x1, y1, x2, y2, score]) + bboxlist = np.array(bboxlist) + if 0 == len(bboxlist): + bboxlist = np.zeros((1, 5)) + + return bboxlist + +def batch_detect(net, imgs, device): + imgs = imgs - np.array([104, 117, 123]) + imgs = imgs.transpose(0, 3, 1, 2) + + if 'cuda' in device: + torch.backends.cudnn.benchmark = True + + imgs = torch.from_numpy(imgs).float().to(device) + BB, CC, HH, WW = imgs.size() + with torch.no_grad(): + olist = net(imgs) + + bboxlist = [] + for i in range(len(olist) // 2): + olist[i * 2] = F.softmax(olist[i * 2], dim=1) + olist = [oelem.data.cpu() for oelem in olist] + for i in range(len(olist) // 2): + ocls, oreg = olist[i * 2], olist[i * 2 + 1] + FB, FC, FH, FW = ocls.size() # feature map size + stride = 2**(i + 2) # 4,8,16,32,64,128 + anchor = stride * 4 + poss = zip(*np.where(ocls[:, 1, :, :] > 0.05)) + for Iindex, hindex, windex in poss: + axc, ayc = stride / 2 + windex * stride, stride / 2 + hindex * stride + score = ocls[:, 1, hindex, windex] + loc = oreg[:, :, hindex, windex].contiguous().view(BB, 1, 4) + priors = torch.Tensor([[axc / 1.0, ayc / 1.0, stride * 4 / 1.0, stride * 4 / 1.0]]).view(1, 1, 4) + variances = [0.1, 0.2] + box = batch_decode(loc, priors, variances) + box = box[:, 0] * 1.0 + # cv2.rectangle(imgshow,(int(x1),int(y1)),(int(x2),int(y2)),(0,0,255),1) + bboxlist.append(torch.cat([box, score.unsqueeze(1)], 1).cpu().numpy()) + bboxlist = np.array(bboxlist) + if 0 == len(bboxlist): + bboxlist = np.zeros((1, BB, 5)) + + return bboxlist + +def flip_detect(net, img, device): + img = cv2.flip(img, 1) + b = detect(net, img, device) + + bboxlist = np.zeros(b.shape) + bboxlist[:, 0] = img.shape[1] - b[:, 2] + bboxlist[:, 1] = b[:, 1] + bboxlist[:, 2] = img.shape[1] - b[:, 0] + bboxlist[:, 3] = b[:, 3] + bboxlist[:, 4] = b[:, 4] + return bboxlist + + +def pts_to_bb(pts): + min_x, min_y = np.min(pts, axis=0) + max_x, max_y = np.max(pts, axis=0) + return np.array([min_x, min_y, max_x, max_y]) diff --git a/face_detection/detection/sfd/net_s3fd.py b/face_detection/detection/sfd/net_s3fd.py new file mode 100644 index 0000000000000000000000000000000000000000..fc64313c277ab594d0257585c70f147606693452 --- /dev/null +++ b/face_detection/detection/sfd/net_s3fd.py @@ -0,0 +1,129 @@ +import torch +import torch.nn as nn +import torch.nn.functional as F + + +class L2Norm(nn.Module): + def __init__(self, n_channels, scale=1.0): + super(L2Norm, self).__init__() + self.n_channels = n_channels + self.scale = scale + self.eps = 1e-10 + self.weight = nn.Parameter(torch.Tensor(self.n_channels)) + self.weight.data *= 0.0 + self.weight.data += self.scale + + def forward(self, x): + norm = x.pow(2).sum(dim=1, keepdim=True).sqrt() + self.eps + x = x / norm * self.weight.view(1, -1, 1, 1) + return x + + +class s3fd(nn.Module): + def __init__(self): + super(s3fd, self).__init__() + self.conv1_1 = nn.Conv2d(3, 64, kernel_size=3, stride=1, padding=1) + self.conv1_2 = nn.Conv2d(64, 64, kernel_size=3, stride=1, padding=1) + + self.conv2_1 = nn.Conv2d(64, 128, kernel_size=3, stride=1, padding=1) + self.conv2_2 = nn.Conv2d(128, 128, kernel_size=3, stride=1, padding=1) + + self.conv3_1 = nn.Conv2d(128, 256, kernel_size=3, stride=1, padding=1) + self.conv3_2 = nn.Conv2d(256, 256, kernel_size=3, stride=1, padding=1) + self.conv3_3 = nn.Conv2d(256, 256, kernel_size=3, stride=1, padding=1) + + self.conv4_1 = nn.Conv2d(256, 512, kernel_size=3, stride=1, padding=1) + self.conv4_2 = nn.Conv2d(512, 512, kernel_size=3, stride=1, padding=1) + self.conv4_3 = nn.Conv2d(512, 512, kernel_size=3, stride=1, padding=1) + + self.conv5_1 = nn.Conv2d(512, 512, kernel_size=3, stride=1, padding=1) + self.conv5_2 = nn.Conv2d(512, 512, kernel_size=3, stride=1, padding=1) + self.conv5_3 = nn.Conv2d(512, 512, kernel_size=3, stride=1, padding=1) + + self.fc6 = nn.Conv2d(512, 1024, kernel_size=3, stride=1, padding=3) + self.fc7 = nn.Conv2d(1024, 1024, kernel_size=1, stride=1, padding=0) + + self.conv6_1 = nn.Conv2d(1024, 256, kernel_size=1, stride=1, padding=0) + self.conv6_2 = nn.Conv2d(256, 512, kernel_size=3, stride=2, padding=1) + + self.conv7_1 = nn.Conv2d(512, 128, kernel_size=1, stride=1, padding=0) + self.conv7_2 = nn.Conv2d(128, 256, kernel_size=3, stride=2, padding=1) + + self.conv3_3_norm = L2Norm(256, scale=10) + self.conv4_3_norm = L2Norm(512, scale=8) + self.conv5_3_norm = L2Norm(512, scale=5) + + self.conv3_3_norm_mbox_conf = nn.Conv2d(256, 4, kernel_size=3, stride=1, padding=1) + self.conv3_3_norm_mbox_loc = nn.Conv2d(256, 4, kernel_size=3, stride=1, padding=1) + self.conv4_3_norm_mbox_conf = nn.Conv2d(512, 2, kernel_size=3, stride=1, padding=1) + self.conv4_3_norm_mbox_loc = nn.Conv2d(512, 4, kernel_size=3, stride=1, padding=1) + self.conv5_3_norm_mbox_conf = nn.Conv2d(512, 2, kernel_size=3, stride=1, padding=1) + self.conv5_3_norm_mbox_loc = nn.Conv2d(512, 4, kernel_size=3, stride=1, padding=1) + + self.fc7_mbox_conf = nn.Conv2d(1024, 2, kernel_size=3, stride=1, padding=1) + self.fc7_mbox_loc = nn.Conv2d(1024, 4, kernel_size=3, stride=1, padding=1) + self.conv6_2_mbox_conf = nn.Conv2d(512, 2, kernel_size=3, stride=1, padding=1) + self.conv6_2_mbox_loc = nn.Conv2d(512, 4, kernel_size=3, stride=1, padding=1) + self.conv7_2_mbox_conf = nn.Conv2d(256, 2, kernel_size=3, stride=1, padding=1) + self.conv7_2_mbox_loc = nn.Conv2d(256, 4, kernel_size=3, stride=1, padding=1) + + def forward(self, x): + h = F.relu(self.conv1_1(x)) + h = F.relu(self.conv1_2(h)) + h = F.max_pool2d(h, 2, 2) + + h = F.relu(self.conv2_1(h)) + h = F.relu(self.conv2_2(h)) + h = F.max_pool2d(h, 2, 2) + + h = F.relu(self.conv3_1(h)) + h = F.relu(self.conv3_2(h)) + h = F.relu(self.conv3_3(h)) + f3_3 = h + h = F.max_pool2d(h, 2, 2) + + h = F.relu(self.conv4_1(h)) + h = F.relu(self.conv4_2(h)) + h = F.relu(self.conv4_3(h)) + f4_3 = h + h = F.max_pool2d(h, 2, 2) + + h = F.relu(self.conv5_1(h)) + h = F.relu(self.conv5_2(h)) + h = F.relu(self.conv5_3(h)) + f5_3 = h + h = F.max_pool2d(h, 2, 2) + + h = F.relu(self.fc6(h)) + h = F.relu(self.fc7(h)) + ffc7 = h + h = F.relu(self.conv6_1(h)) + h = F.relu(self.conv6_2(h)) + f6_2 = h + h = F.relu(self.conv7_1(h)) + h = F.relu(self.conv7_2(h)) + f7_2 = h + + f3_3 = self.conv3_3_norm(f3_3) + f4_3 = self.conv4_3_norm(f4_3) + f5_3 = self.conv5_3_norm(f5_3) + + cls1 = self.conv3_3_norm_mbox_conf(f3_3) + reg1 = self.conv3_3_norm_mbox_loc(f3_3) + cls2 = self.conv4_3_norm_mbox_conf(f4_3) + reg2 = self.conv4_3_norm_mbox_loc(f4_3) + cls3 = self.conv5_3_norm_mbox_conf(f5_3) + reg3 = self.conv5_3_norm_mbox_loc(f5_3) + cls4 = self.fc7_mbox_conf(ffc7) + reg4 = self.fc7_mbox_loc(ffc7) + cls5 = self.conv6_2_mbox_conf(f6_2) + reg5 = self.conv6_2_mbox_loc(f6_2) + cls6 = self.conv7_2_mbox_conf(f7_2) + reg6 = self.conv7_2_mbox_loc(f7_2) + + # max-out background label + chunk = torch.chunk(cls1, 4, 1) + bmax = torch.max(torch.max(chunk[0], chunk[1]), chunk[2]) + cls1 = torch.cat([bmax, chunk[3]], dim=1) + + return [cls1, reg1, cls2, reg2, cls3, reg3, cls4, reg4, cls5, reg5, cls6, reg6] diff --git a/face_detection/detection/sfd/sfd_detector.py b/face_detection/detection/sfd/sfd_detector.py new file mode 100644 index 0000000000000000000000000000000000000000..16d7096633e68ac6bb041d77b6d717d13682d803 --- /dev/null +++ b/face_detection/detection/sfd/sfd_detector.py @@ -0,0 +1,59 @@ +import os +import cv2 +from torch.utils.model_zoo import load_url + +from ..core import FaceDetector + +from .net_s3fd import s3fd +from .bbox import * +from .detect import * + +models_urls = { + 's3fd': 'https://www.adrianbulat.com/downloads/python-fan/s3fd-619a316812.pth', +} + + +class SFDDetector(FaceDetector): + def __init__(self, device, path_to_detector=r'checkpoints/hub/checkpoints/s3fd-619a316812.pth', verbose=False): + super(SFDDetector, self).__init__(device, verbose) + + # Initialise the face detector + if not os.path.isfile(path_to_detector): + model_weights = load_url(models_urls['s3fd']) + else: + model_weights = torch.load(path_to_detector) + + self.face_detector = s3fd() + self.face_detector.load_state_dict(model_weights) + self.face_detector.to(device) + self.face_detector.eval() + + def detect_from_image(self, tensor_or_path): + image = self.tensor_or_path_to_ndarray(tensor_or_path) + + bboxlist = detect(self.face_detector, image, device=self.device) + keep = nms(bboxlist, 0.3) + bboxlist = bboxlist[keep, :] + bboxlist = [x for x in bboxlist if x[-1] > 0.5] + + return bboxlist + + def detect_from_batch(self, images): + bboxlists = batch_detect(self.face_detector, images, device=self.device) + keeps = [nms(bboxlists[:, i, :], 0.3) for i in range(bboxlists.shape[1])] + bboxlists = [bboxlists[keep, i, :] for i, keep in enumerate(keeps)] + bboxlists = [[x for x in bboxlist if x[-1] > 0.5] for bboxlist in bboxlists] + + return bboxlists + + @property + def reference_scale(self): + return 195 + + @property + def reference_x_shift(self): + return 0 + + @property + def reference_y_shift(self): + return 0 diff --git a/face_detection/models.py b/face_detection/models.py new file mode 100644 index 0000000000000000000000000000000000000000..ee2dde32bdf72c25a4600e48efa73ffc0d4a3893 --- /dev/null +++ b/face_detection/models.py @@ -0,0 +1,261 @@ +import torch +import torch.nn as nn +import torch.nn.functional as F +import math + + +def conv3x3(in_planes, out_planes, strd=1, padding=1, bias=False): + "3x3 convolution with padding" + return nn.Conv2d(in_planes, out_planes, kernel_size=3, + stride=strd, padding=padding, bias=bias) + + +class ConvBlock(nn.Module): + def __init__(self, in_planes, out_planes): + super(ConvBlock, self).__init__() + self.bn1 = nn.BatchNorm2d(in_planes) + self.conv1 = conv3x3(in_planes, int(out_planes / 2)) + self.bn2 = nn.BatchNorm2d(int(out_planes / 2)) + self.conv2 = conv3x3(int(out_planes / 2), int(out_planes / 4)) + self.bn3 = nn.BatchNorm2d(int(out_planes / 4)) + self.conv3 = conv3x3(int(out_planes / 4), int(out_planes / 4)) + + if in_planes != out_planes: + self.downsample = nn.Sequential( + nn.BatchNorm2d(in_planes), + nn.ReLU(True), + nn.Conv2d(in_planes, out_planes, + kernel_size=1, stride=1, bias=False), + ) + else: + self.downsample = None + + def forward(self, x): + residual = x + + out1 = self.bn1(x) + out1 = F.relu(out1, True) + out1 = self.conv1(out1) + + out2 = self.bn2(out1) + out2 = F.relu(out2, True) + out2 = self.conv2(out2) + + out3 = self.bn3(out2) + out3 = F.relu(out3, True) + out3 = self.conv3(out3) + + out3 = torch.cat((out1, out2, out3), 1) + + if self.downsample is not None: + residual = self.downsample(residual) + + out3 += residual + + return out3 + + +class Bottleneck(nn.Module): + + expansion = 4 + + def __init__(self, inplanes, planes, stride=1, downsample=None): + super(Bottleneck, self).__init__() + self.conv1 = nn.Conv2d(inplanes, planes, kernel_size=1, bias=False) + self.bn1 = nn.BatchNorm2d(planes) + self.conv2 = nn.Conv2d(planes, planes, kernel_size=3, stride=stride, + padding=1, bias=False) + self.bn2 = nn.BatchNorm2d(planes) + self.conv3 = nn.Conv2d(planes, planes * 4, kernel_size=1, bias=False) + self.bn3 = nn.BatchNorm2d(planes * 4) + self.relu = nn.ReLU(inplace=True) + self.downsample = downsample + self.stride = stride + + def forward(self, x): + residual = x + + out = self.conv1(x) + out = self.bn1(out) + out = self.relu(out) + + out = self.conv2(out) + out = self.bn2(out) + out = self.relu(out) + + out = self.conv3(out) + out = self.bn3(out) + + if self.downsample is not None: + residual = self.downsample(x) + + out += residual + out = self.relu(out) + + return out + + +class HourGlass(nn.Module): + def __init__(self, num_modules, depth, num_features): + super(HourGlass, self).__init__() + self.num_modules = num_modules + self.depth = depth + self.features = num_features + + self._generate_network(self.depth) + + def _generate_network(self, level): + self.add_module('b1_' + str(level), ConvBlock(self.features, self.features)) + + self.add_module('b2_' + str(level), ConvBlock(self.features, self.features)) + + if level > 1: + self._generate_network(level - 1) + else: + self.add_module('b2_plus_' + str(level), ConvBlock(self.features, self.features)) + + self.add_module('b3_' + str(level), ConvBlock(self.features, self.features)) + + def _forward(self, level, inp): + # Upper branch + up1 = inp + up1 = self._modules['b1_' + str(level)](up1) + + # Lower branch + low1 = F.avg_pool2d(inp, 2, stride=2) + low1 = self._modules['b2_' + str(level)](low1) + + if level > 1: + low2 = self._forward(level - 1, low1) + else: + low2 = low1 + low2 = self._modules['b2_plus_' + str(level)](low2) + + low3 = low2 + low3 = self._modules['b3_' + str(level)](low3) + + up2 = F.interpolate(low3, scale_factor=2, mode='nearest') + + return up1 + up2 + + def forward(self, x): + return self._forward(self.depth, x) + + +class FAN(nn.Module): + + def __init__(self, num_modules=1): + super(FAN, self).__init__() + self.num_modules = num_modules + + # Base part + self.conv1 = nn.Conv2d(3, 64, kernel_size=7, stride=2, padding=3) + self.bn1 = nn.BatchNorm2d(64) + self.conv2 = ConvBlock(64, 128) + self.conv3 = ConvBlock(128, 128) + self.conv4 = ConvBlock(128, 256) + + # Stacking part + for hg_module in range(self.num_modules): + self.add_module('m' + str(hg_module), HourGlass(1, 4, 256)) + self.add_module('top_m_' + str(hg_module), ConvBlock(256, 256)) + self.add_module('conv_last' + str(hg_module), + nn.Conv2d(256, 256, kernel_size=1, stride=1, padding=0)) + self.add_module('bn_end' + str(hg_module), nn.BatchNorm2d(256)) + self.add_module('l' + str(hg_module), nn.Conv2d(256, + 68, kernel_size=1, stride=1, padding=0)) + + if hg_module < self.num_modules - 1: + self.add_module( + 'bl' + str(hg_module), nn.Conv2d(256, 256, kernel_size=1, stride=1, padding=0)) + self.add_module('al' + str(hg_module), nn.Conv2d(68, + 256, kernel_size=1, stride=1, padding=0)) + + def forward(self, x): + x = F.relu(self.bn1(self.conv1(x)), True) + x = F.avg_pool2d(self.conv2(x), 2, stride=2) + x = self.conv3(x) + x = self.conv4(x) + + previous = x + + outputs = [] + for i in range(self.num_modules): + hg = self._modules['m' + str(i)](previous) + + ll = hg + ll = self._modules['top_m_' + str(i)](ll) + + ll = F.relu(self._modules['bn_end' + str(i)] + (self._modules['conv_last' + str(i)](ll)), True) + + # Predict heatmaps + tmp_out = self._modules['l' + str(i)](ll) + outputs.append(tmp_out) + + if i < self.num_modules - 1: + ll = self._modules['bl' + str(i)](ll) + tmp_out_ = self._modules['al' + str(i)](tmp_out) + previous = previous + ll + tmp_out_ + + return outputs + + +class ResNetDepth(nn.Module): + + def __init__(self, block=Bottleneck, layers=[3, 8, 36, 3], num_classes=68): + self.inplanes = 64 + super(ResNetDepth, self).__init__() + self.conv1 = nn.Conv2d(3 + 68, 64, kernel_size=7, stride=2, padding=3, + bias=False) + self.bn1 = nn.BatchNorm2d(64) + self.relu = nn.ReLU(inplace=True) + self.maxpool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1) + self.layer1 = self._make_layer(block, 64, layers[0]) + self.layer2 = self._make_layer(block, 128, layers[1], stride=2) + self.layer3 = self._make_layer(block, 256, layers[2], stride=2) + self.layer4 = self._make_layer(block, 512, layers[3], stride=2) + self.avgpool = nn.AvgPool2d(7) + self.fc = nn.Linear(512 * block.expansion, num_classes) + + for m in self.modules(): + if isinstance(m, nn.Conv2d): + n = m.kernel_size[0] * m.kernel_size[1] * m.out_channels + m.weight.data.normal_(0, math.sqrt(2. / n)) + elif isinstance(m, nn.BatchNorm2d): + m.weight.data.fill_(1) + m.bias.data.zero_() + + def _make_layer(self, block, planes, blocks, stride=1): + downsample = None + if stride != 1 or self.inplanes != planes * block.expansion: + downsample = nn.Sequential( + nn.Conv2d(self.inplanes, planes * block.expansion, + kernel_size=1, stride=stride, bias=False), + nn.BatchNorm2d(planes * block.expansion), + ) + + layers = [] + layers.append(block(self.inplanes, planes, stride, downsample)) + self.inplanes = planes * block.expansion + for i in range(1, blocks): + layers.append(block(self.inplanes, planes)) + + return nn.Sequential(*layers) + + def forward(self, x): + x = self.conv1(x) + x = self.bn1(x) + x = self.relu(x) + x = self.maxpool(x) + + x = self.layer1(x) + x = self.layer2(x) + x = self.layer3(x) + x = self.layer4(x) + + x = self.avgpool(x) + x = x.view(x.size(0), -1) + x = self.fc(x) + + return x diff --git a/face_detection/utils.py b/face_detection/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..3dc4cf3e328efaa227cbcfdd969e1056688adad5 --- /dev/null +++ b/face_detection/utils.py @@ -0,0 +1,313 @@ +from __future__ import print_function +import os +import sys +import time +import torch +import math +import numpy as np +import cv2 + + +def _gaussian( + size=3, sigma=0.25, amplitude=1, normalize=False, width=None, + height=None, sigma_horz=None, sigma_vert=None, mean_horz=0.5, + mean_vert=0.5): + # handle some defaults + if width is None: + width = size + if height is None: + height = size + if sigma_horz is None: + sigma_horz = sigma + if sigma_vert is None: + sigma_vert = sigma + center_x = mean_horz * width + 0.5 + center_y = mean_vert * height + 0.5 + gauss = np.empty((height, width), dtype=np.float32) + # generate kernel + for i in range(height): + for j in range(width): + gauss[i][j] = amplitude * math.exp(-(math.pow((j + 1 - center_x) / ( + sigma_horz * width), 2) / 2.0 + math.pow((i + 1 - center_y) / (sigma_vert * height), 2) / 2.0)) + if normalize: + gauss = gauss / np.sum(gauss) + return gauss + + +def draw_gaussian(image, point, sigma): + # Check if the gaussian is inside + ul = [math.floor(point[0] - 3 * sigma), math.floor(point[1] - 3 * sigma)] + br = [math.floor(point[0] + 3 * sigma), math.floor(point[1] + 3 * sigma)] + if (ul[0] > image.shape[1] or ul[1] > image.shape[0] or br[0] < 1 or br[1] < 1): + return image + size = 6 * sigma + 1 + g = _gaussian(size) + g_x = [int(max(1, -ul[0])), int(min(br[0], image.shape[1])) - int(max(1, ul[0])) + int(max(1, -ul[0]))] + g_y = [int(max(1, -ul[1])), int(min(br[1], image.shape[0])) - int(max(1, ul[1])) + int(max(1, -ul[1]))] + img_x = [int(max(1, ul[0])), int(min(br[0], image.shape[1]))] + img_y = [int(max(1, ul[1])), int(min(br[1], image.shape[0]))] + assert (g_x[0] > 0 and g_y[1] > 0) + image[img_y[0] - 1:img_y[1], img_x[0] - 1:img_x[1] + ] = image[img_y[0] - 1:img_y[1], img_x[0] - 1:img_x[1]] + g[g_y[0] - 1:g_y[1], g_x[0] - 1:g_x[1]] + image[image > 1] = 1 + return image + + +def transform(point, center, scale, resolution, invert=False): + """Generate and affine transformation matrix. + + Given a set of points, a center, a scale and a targer resolution, the + function generates and affine transformation matrix. If invert is ``True`` + it will produce the inverse transformation. + + Arguments: + point {torch.tensor} -- the input 2D point + center {torch.tensor or numpy.array} -- the center around which to perform the transformations + scale {float} -- the scale of the face/object + resolution {float} -- the output resolution + + Keyword Arguments: + invert {bool} -- define wherever the function should produce the direct or the + inverse transformation matrix (default: {False}) + """ + _pt = torch.ones(3) + _pt[0] = point[0] + _pt[1] = point[1] + + h = 200.0 * scale + t = torch.eye(3) + t[0, 0] = resolution / h + t[1, 1] = resolution / h + t[0, 2] = resolution * (-center[0] / h + 0.5) + t[1, 2] = resolution * (-center[1] / h + 0.5) + + if invert: + t = torch.inverse(t) + + new_point = (torch.matmul(t, _pt))[0:2] + + return new_point.int() + + +def crop(image, center, scale, resolution=256.0): + """Center crops an image or set of heatmaps + + Arguments: + image {numpy.array} -- an rgb image + center {numpy.array} -- the center of the object, usually the same as of the bounding box + scale {float} -- scale of the face + + Keyword Arguments: + resolution {float} -- the size of the output cropped image (default: {256.0}) + + Returns: + [type] -- [description] + """ # Crop around the center point + """ Crops the image around the center. Input is expected to be an np.ndarray """ + ul = transform([1, 1], center, scale, resolution, True) + br = transform([resolution, resolution], center, scale, resolution, True) + # pad = math.ceil(torch.norm((ul - br).float()) / 2.0 - (br[0] - ul[0]) / 2.0) + if image.ndim > 2: + newDim = np.array([br[1] - ul[1], br[0] - ul[0], + image.shape[2]], dtype=np.int32) + newImg = np.zeros(newDim, dtype=np.uint8) + else: + newDim = np.array([br[1] - ul[1], br[0] - ul[0]], dtype=np.int) + newImg = np.zeros(newDim, dtype=np.uint8) + ht = image.shape[0] + wd = image.shape[1] + newX = np.array( + [max(1, -ul[0] + 1), min(br[0], wd) - ul[0]], dtype=np.int32) + newY = np.array( + [max(1, -ul[1] + 1), min(br[1], ht) - ul[1]], dtype=np.int32) + oldX = np.array([max(1, ul[0] + 1), min(br[0], wd)], dtype=np.int32) + oldY = np.array([max(1, ul[1] + 1), min(br[1], ht)], dtype=np.int32) + newImg[newY[0] - 1:newY[1], newX[0] - 1:newX[1] + ] = image[oldY[0] - 1:oldY[1], oldX[0] - 1:oldX[1], :] + newImg = cv2.resize(newImg, dsize=(int(resolution), int(resolution)), + interpolation=cv2.INTER_LINEAR) + return newImg + + +def get_preds_fromhm(hm, center=None, scale=None): + """Obtain (x,y) coordinates given a set of N heatmaps. If the center + and the scale is provided the function will return the points also in + the original coordinate frame. + + Arguments: + hm {torch.tensor} -- the predicted heatmaps, of shape [B, N, W, H] + + Keyword Arguments: + center {torch.tensor} -- the center of the bounding box (default: {None}) + scale {float} -- face scale (default: {None}) + """ + max, idx = torch.max( + hm.view(hm.size(0), hm.size(1), hm.size(2) * hm.size(3)), 2) + idx += 1 + preds = idx.view(idx.size(0), idx.size(1), 1).repeat(1, 1, 2).float() + preds[..., 0].apply_(lambda x: (x - 1) % hm.size(3) + 1) + preds[..., 1].add_(-1).div_(hm.size(2)).floor_().add_(1) + + for i in range(preds.size(0)): + for j in range(preds.size(1)): + hm_ = hm[i, j, :] + pX, pY = int(preds[i, j, 0]) - 1, int(preds[i, j, 1]) - 1 + if pX > 0 and pX < 63 and pY > 0 and pY < 63: + diff = torch.FloatTensor( + [hm_[pY, pX + 1] - hm_[pY, pX - 1], + hm_[pY + 1, pX] - hm_[pY - 1, pX]]) + preds[i, j].add_(diff.sign_().mul_(.25)) + + preds.add_(-.5) + + preds_orig = torch.zeros(preds.size()) + if center is not None and scale is not None: + for i in range(hm.size(0)): + for j in range(hm.size(1)): + preds_orig[i, j] = transform( + preds[i, j], center, scale, hm.size(2), True) + + return preds, preds_orig + +def get_preds_fromhm_batch(hm, centers=None, scales=None): + """Obtain (x,y) coordinates given a set of N heatmaps. If the centers + and the scales is provided the function will return the points also in + the original coordinate frame. + + Arguments: + hm {torch.tensor} -- the predicted heatmaps, of shape [B, N, W, H] + + Keyword Arguments: + centers {torch.tensor} -- the centers of the bounding box (default: {None}) + scales {float} -- face scales (default: {None}) + """ + max, idx = torch.max( + hm.view(hm.size(0), hm.size(1), hm.size(2) * hm.size(3)), 2) + idx += 1 + preds = idx.view(idx.size(0), idx.size(1), 1).repeat(1, 1, 2).float() + preds[..., 0].apply_(lambda x: (x - 1) % hm.size(3) + 1) + preds[..., 1].add_(-1).div_(hm.size(2)).floor_().add_(1) + + for i in range(preds.size(0)): + for j in range(preds.size(1)): + hm_ = hm[i, j, :] + pX, pY = int(preds[i, j, 0]) - 1, int(preds[i, j, 1]) - 1 + if pX > 0 and pX < 63 and pY > 0 and pY < 63: + diff = torch.FloatTensor( + [hm_[pY, pX + 1] - hm_[pY, pX - 1], + hm_[pY + 1, pX] - hm_[pY - 1, pX]]) + preds[i, j].add_(diff.sign_().mul_(.25)) + + preds.add_(-.5) + + preds_orig = torch.zeros(preds.size()) + if centers is not None and scales is not None: + for i in range(hm.size(0)): + for j in range(hm.size(1)): + preds_orig[i, j] = transform( + preds[i, j], centers[i], scales[i], hm.size(2), True) + + return preds, preds_orig + +def shuffle_lr(parts, pairs=None): + """Shuffle the points left-right according to the axis of symmetry + of the object. + + Arguments: + parts {torch.tensor} -- a 3D or 4D object containing the + heatmaps. + + Keyword Arguments: + pairs {list of integers} -- [order of the flipped points] (default: {None}) + """ + if pairs is None: + pairs = [16, 15, 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0, + 26, 25, 24, 23, 22, 21, 20, 19, 18, 17, 27, 28, 29, 30, 35, + 34, 33, 32, 31, 45, 44, 43, 42, 47, 46, 39, 38, 37, 36, 41, + 40, 54, 53, 52, 51, 50, 49, 48, 59, 58, 57, 56, 55, 64, 63, + 62, 61, 60, 67, 66, 65] + if parts.ndimension() == 3: + parts = parts[pairs, ...] + else: + parts = parts[:, pairs, ...] + + return parts + + +def flip(tensor, is_label=False): + """Flip an image or a set of heatmaps left-right + + Arguments: + tensor {numpy.array or torch.tensor} -- [the input image or heatmaps] + + Keyword Arguments: + is_label {bool} -- [denote wherever the input is an image or a set of heatmaps ] (default: {False}) + """ + if not torch.is_tensor(tensor): + tensor = torch.from_numpy(tensor) + + if is_label: + tensor = shuffle_lr(tensor).flip(tensor.ndimension() - 1) + else: + tensor = tensor.flip(tensor.ndimension() - 1) + + return tensor + +# From pyzolib/paths.py (https://bitbucket.org/pyzo/pyzolib/src/tip/paths.py) + + +def appdata_dir(appname=None, roaming=False): + """ appdata_dir(appname=None, roaming=False) + + Get the path to the application directory, where applications are allowed + to write user specific files (e.g. configurations). For non-user specific + data, consider using common_appdata_dir(). + If appname is given, a subdir is appended (and created if necessary). + If roaming is True, will prefer a roaming directory (Windows Vista/7). + """ + + # Define default user directory + userDir = os.getenv('FACEALIGNMENT_USERDIR', None) + if userDir is None: + userDir = os.path.expanduser('~') + if not os.path.isdir(userDir): # pragma: no cover + userDir = '/var/tmp' # issue #54 + + # Get system app data dir + path = None + if sys.platform.startswith('win'): + path1, path2 = os.getenv('LOCALAPPDATA'), os.getenv('APPDATA') + path = (path2 or path1) if roaming else (path1 or path2) + elif sys.platform.startswith('darwin'): + path = os.path.join(userDir, 'Library', 'Application Support') + # On Linux and as fallback + if not (path and os.path.isdir(path)): + path = userDir + + # Maybe we should store things local to the executable (in case of a + # portable distro or a frozen application that wants to be portable) + prefix = sys.prefix + if getattr(sys, 'frozen', None): + prefix = os.path.abspath(os.path.dirname(sys.executable)) + for reldir in ('settings', '../settings'): + localpath = os.path.abspath(os.path.join(prefix, reldir)) + if os.path.isdir(localpath): # pragma: no cover + try: + open(os.path.join(localpath, 'test.write'), 'wb').close() + os.remove(os.path.join(localpath, 'test.write')) + except IOError: + pass # We cannot write in this directory + else: + path = localpath + break + + # Get path specific for this app + if appname: + if path == userDir: + appname = '.' + appname.lstrip('.') # Make it a hidden directory + path = os.path.join(path, appname) + if not os.path.isdir(path): # pragma: no cover + os.mkdir(path) + + # Done + return path diff --git a/https_cert/cert.pem b/https_cert/cert.pem new file mode 100644 index 0000000000000000000000000000000000000000..971534b3a8a3d871ad8eeb3652edcc615f944bdf --- /dev/null +++ b/https_cert/cert.pem @@ -0,0 +1,31 @@ +-----BEGIN 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+1.127187500000000000e+02 +1.881210937500000000e+02 diff --git a/inputs/girl.png b/inputs/girl.png new file mode 100644 index 0000000000000000000000000000000000000000..b7bc6228cb2f4e8c01af8d2f52bbbf62540e2412 Binary files /dev/null and b/inputs/girl.png differ diff --git a/requirements_app.txt b/requirements_app.txt new file mode 100644 index 0000000000000000000000000000000000000000..c442f11a73d8c7bc2b0955ced1195149636f6790 --- /dev/null +++ b/requirements_app.txt @@ -0,0 +1,41 @@ +numpy==1.23.4 +face_alignment==1.3.5 +imageio==2.19.3 +imageio-ffmpeg==0.4.7 +librosa==0.9.2 +numba +zhconv +resampy==0.3.1 +pydub==0.25.1 +scipy==1.10.1 +kornia==0.6.8 +tqdm +yacs==0.1.8 +pyyaml +joblib==1.1.0 +facexlib==0.3.0 +gradio==4.16.0 +edge-tts>=6.1.9 +openai-whisper +scikit-image==0.19.3 +accelerate +transformers==4.32.0 +einops +transformers_stream_generator==0.0.4 +sentencepiece +google-generativeai +tiktoken +accelerate +protobuf==3.19.6 +openai +google-api-python-client==2.126.0 +g4f +# gfpgan +# ========Qwen Need========# +# transformers==4.32.0 +# accelerate +# tiktoken +# scipy +# transformers_stream_generator==0.0.4 +# peft +# deepspeed diff --git a/requirements_webui.txt b/requirements_webui.txt new file mode 100644 index 0000000000000000000000000000000000000000..6070a79e84ca5a0cfd8e30d52ed27c60dd7aa2d9 --- /dev/null +++ b/requirements_webui.txt @@ -0,0 +1,108 @@ +# PyTorch and its dependencies +# These libraries include PyTorch and its related packages, supporting CUDA 11.8. +--extra-index-url https://download.pytorch.org/whl/cu118 +torch==2.0.1 +torchvision==0.15.2 +torchaudio==2.0.2 +# Installation source for PyTorch: -f https://download.pytorch.org/whl/cu118 +# Example installation command: + +# pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 --index-url https://download.pytorch.org/whl/cu118 +# pip install tb-nightly -i https://mirrors.aliyun.com/pypi/simple + +# General tools and libraries +numba +tqdm +pyyaml +ffmpeg-python +gdown +requests +imageio[ffmpeg] +omegaconf +spaces +moviepy +librosa==0.10.2 +ultralytics # for wav2lipv2 +gradio==4.16.0 +scikit_learn==1.4.2 + +# SadTalker related libraries +numpy==1.23.4 +face_alignment==1.3.5 +imageio==2.19.3 +imageio-ffmpeg==0.4.7 +resampy==0.3.1 +pydub==0.25.1 +scipy==1.10.1 +kornia==0.6.8 +yacs==0.1.8 +joblib==1.2.0 +facexlib==0.3.0 +scikit-image==0.19.3 +protobuf==3.20.2 +basicsr==1.4.2 +gfpgan==1.3.8 +matplotlib==3.7.5 + +# MuseTalk related libraries +diffusers==0.27.2 +accelerate==0.28.0 +opencv-python==4.9.0.80 +soundfile==0.12.1 +transformers==4.39.2 +# pip install --no-cache-dir -U openmim +# mim install mmengine +# mim install "mmcv>=2.0.1" +# mim install "mmdet>=3.1.0" +# mim install "mmpose>=1.1.0" + +# # PaddleTTS related libraries +# paddlepaddle==2.5.2 +# paddlespeech==1.4.1 +# opencc==1.1.1 + +# ASR (Automatic Speech Recognition) related libraries +openai +modelscope +funasr>=1.0.0 +edge-tts>=6.1.9 +openai-whisper +zhconv + +# LLM (Large Language Model) related libraries +openai +g4f +curl_cffi +grpcio-status==1.48.2 +google-generativeai +google-api-python-client==2.126.0 +tiktoken +accelerate +einops +transformers_stream_generator==0.0.4 +sentencepiece + +# GPT-SoVITS related libraries +numba==0.56.4 +pytorch-lightning +onnxruntime +tqdm +cn2an +pypinyin +pyopenjtalk +g2p_en +modelscope==1.10.0 +chardet +PyYAML +psutil +jieba_fast +jieba +LangSegment + + +# CosyVoice related libraries +conformer==0.3.2 +lightning==2.2.4 +wget==3.2 +HyperPyYAML==1.2.2 +WeTextProcessing==1.0.3 \ No newline at end of file diff --git a/scripts/download_models.sh b/scripts/download_models.sh new file mode 100644 index 0000000000000000000000000000000000000000..0366141c5b97b56eccf84b851246a8e213d871a8 --- /dev/null +++ b/scripts/download_models.sh @@ -0,0 +1,262 @@ +#!/bin/bash + +# 提示用户选择下载方式 +echo "Please select a model download method:" +echo "请选择模型下载方式：" +echo "1. Download from ModelScope (No resuming capability)" +echo "1. 从 ModelScope 下载（有断点续传功能）推荐" +# 记得先下载modelscope, pip install modelscope +echo "记得先下载modelscope, pip install modelsope" +echo "2. Download from Huggingface (With resuming capability)" +echo "2. 从 Huggingface 下载（有断点续传功能）" +echo "3. Download from Huggingface mirror site (Possibly faster)" +echo "3. 从 Huggingface 镜像站点下载（镜像可能快一点）" +read -p "Enter 1, 2, or 3 to choose a download method: " download_option + +# 下载模型 +# Download the models +case $download_option in + 1) + echo "Downloading models from ModelScope..." + echo "正在从 ModelScope 下载模型..." + python scripts/modelscope_download.py + if [ $? -ne 0 ]; then + echo "Failed to download models from ModelScope. Please check the scripts/modelscope_download.py script or your network connection." + echo "从 ModelScope 下载模型失败，请检查脚本 scripts/modelscope_download.py 或网络连接。" + exit 1 + fi + ;; + 2) + echo "Downloading models from Huggingface..." + echo "正在从 Huggingface 下载模型..." + python scripts/huggingface_download.py + if [ $? -ne 0 ]; then + echo "Failed to download models from Huggingface. Please check the scripts/huggingface_download.py script or your network connection." + echo "从 Huggingface 下载模型失败，请检查脚本 scripts/huggingface_download.py 或网络连接。" + exit 1 + fi + ;; + 3) + echo "Downloading models from Huggingface mirror site..." + echo "正在从 Huggingface 镜像站点下载模型..." + export HF_ENDPOINT=https://hf-mirror.com + huggingface-cli download --resume-download --local-dir-use-symlinks False Kedreamix/Linly-Talker --local-dir Linly-Talker + if [ $? -ne 0 ]; then + echo "Failed to download models from Huggingface mirror site. Please check HF_ENDPOINT or your network connection." + echo "从 Huggingface 镜像站点下载模型失败，请检查 HF_ENDPOINT 或网络连接。" + exit 1 + fi + ;; + *) + echo "Invalid selection. Please enter 1, 2, or 3." + echo "无效选择，请输入 1, 2 或 3。" + exit 1 + ;; +esac + +echo "Model download completed." +echo "模型下载完成。" + +# 手動下載 Whisper 模型並放入正確目錄 +echo "Downloading Whisper model from GitHub..." +git clone https://github.com/openai/whisper.git temp_whisper +mkdir -p Kedreamix/Linly-Talker/Whisper +move_model "temp_whisper" "Kedreamix/Linly-Talker/Whisper" +rm -rf temp_whisper + +# 手動下載 FunASR 模型並放入正確目錄 +echo "Downloading FunASR model from GitHub..." +git clone https://github.com/modelscope/FunASR.git temp_funasr +mkdir -p Kedreamix/Linly-Talker/FunASR +move_model "temp_funasr" "Kedreamix/Linly-Talker/FunASR" +rm -rf temp_funasr + + +# 检查并移动模型 +# Check and move the models + +# 2. 移动所有模型到当前目录 +# Move all models to the current directory +if [ -d "Kedreamix/Linly-Talker/checkpoints" ]; then + rm -rf ./checkpoints/hub ./checkpoints/weights + mkdir -p ./checkpoints/hub ./checkpoints/weights + mv -f Kedreamix/Linly-Talker/checkpoints/hub/* ./checkpoints/hub/ + mv -f Kedreamix/Linly-Talker/checkpoints/weights/* ./checkpoints/weights/ + + if [ $? -ne 0 ]; then + echo "Failed to move checkpoints." + echo "移动 checkpoints 失败。" + exit 1 + fi +else + echo "Directory Kedreamix/Linly-Talker/checkpoints does not exist, cannot move checkpoints." + echo "目录 Kedreamix/Linly-Talker/checkpoints 不存在，无法移动 checkpoints。" + exit 1 +fi + +# 3. 若使用GFPGAN增强，安装对应的库 +# If using GFPGAN enhancement, install the corresponding library +# pip install gfpgan + +if [ -d "./gfpgan" ]; then + rm -rf ./gfpgan # 刪除舊目錄 +fi +mkdir -p ./gfpgan # 創建新目錄 + +if [ -d "Kedreamix/Linly-Talker/gfpgan" ]; then + mv -f Kedreamix/Linly-Talker/gfpgan ./ + if [ $? -ne 0 ]; then + echo "Failed to move gfpgan directory." + echo "移动 gfpgan 目录失败。" + exit 1 + fi +else + echo "Directory Kedreamix/Linly-Talker/gfpgan does not exist, cannot move gfpgan." + echo "目录 Kedreamix/Linly-Talker/gfpgan 不存在，无法移动 gfpgan。" + exit 1 +fi + +# 4. 语音克隆模型 +# Voice cloning model + +if [ -d "./GPT_SoVITS/pretrained_models" ]; then + rm -rf ./GPT_SoVITS/pretrained_models # 刪除舊目錄 +fi +mkdir -p ./GPT_SoVITS/pretrained_models # 創建新目錄 + +if [ -d "Kedreamix/Linly-Talker/GPT_SoVITS/pretrained_models" ]; then + mv Kedreamix/Linly-Talker/GPT_SoVITS/pretrained_models/* ./GPT_SoVITS/pretrained_models/ + if [ $? -ne 0 ]; then + echo "Failed to move GPT_SoVITS/pretrained_models." + echo "移动 GPT_SoVITS/pretrained_models 失败。" + exit 1 + fi +else + echo "Directory Kedreamix/Linly-Talker/GPT_SoVITS/pretrained_models does not exist, cannot move pretrained models." + echo "目录 Kedreamix/Linly-Talker/GPT_SoVITS/pretrained_models 不存在，无法移动预训练模型。" + exit 1 +fi + +# 5. Qwen大模型 +# Qwen model + +if [ -d "./Qwen" ]; then + rm -rf ./Qwen # 刪除舊目錄 +fi +mkdir -p ./Qwen # 創建新目錄 + +if [ -d "Kedreamix/Linly-Talker/Qwen" ]; then + mv Kedreamix/Linly-Talker/Qwen ./ + if [ $? -ne 0 ]; then + echo "Failed to move Qwen directory." + echo "移动 Qwen 目录失败。" + exit 1 + fi +else + echo "Directory Kedreamix/Linly-Talker/Qwen does not exist, cannot move Qwen model." + echo "目录 Kedreamix/Linly-Talker/Qwen 不存在，无法移动 Qwen 模型。" + exit 1 +fi + +# 6. MuseTalk模型 +# MuseTalk model + +if [ -d "./Musetalk/models/" ]; then + rm -rf ./Musetalk/models/ # 刪除舊目錄 +fi +mkdir -p ./Musetalk/models/ # 創建新目錄 + +if [ -d "Kedreamix/Linly-Talker/MuseTalk" ]; then + mv Kedreamix/Linly-Talker/MuseTalk/* ./Musetalk/models/ + if [ $? -ne 0 ]; then + echo "Failed to move MuseTalk/models." + echo "移动 MuseTalk/models 失败。" + exit 1 + fi +else + echo "Directory Kedreamix/Linly-Talker/MuseTalk does not exist, cannot move MuseTalk model." + echo "目录 Kedreamix/Linly-Talker/MuseTalk 不存在，无法移动 MuseTalk 模型。" + exit 1 +fi + +# 7. WhisperASR模型 +# WhisperASR model + +if [ -d "./Whisper" ]; then + rm -rf ./Whisper # 刪除舊的 Whisper 目錄 +fi +mkdir -p ./Whisper # 創建新目錄 + +if [ -d "Kedreamix/Linly-Talker/Whisper" ]; then + mv Kedreamix/Linly-Talker/Whisper ./ + if [ $? -ne 0 ]; then + echo "Failed to move Whisper directory." + echo "移动 Whisper 目录失败。" + exit 1 + fi +else + echo "Directory Kedreamix/Linly-Talker/Whisper does not exist, cannot move Whisper model." + echo "目录 Kedreamix/Linly-Talker/Whisper 不存在，无法移动 Whisper 模型。" + exit 1 +fi + +# 8. FunASR模型 +# FunASR model + +if [ -d "./FunASR" ]; then + rm -rf ./FunASR # 刪除舊的 FunASR 目錄 +fi +mkdir -p ./FunASR # 創建新目錄 + +if [ -d "Kedreamix/Linly-Talker/FunASR" ]; then + mv Kedreamix/Linly-Talker/FunASR ./ + if [ $? -ne 0 ]; then + echo "Failed to move FunASR directory." + echo "移动 FunASR 目录失败。" + exit 1 + fi +else + echo "Directory Kedreamix/Linly-Talker/FunASR does not exist, cannot move FunASR model." + echo "目录 Kedreamix/Linly-Talker/FunASR 不存在，无法移动 FunASR 模型。" + exit 1 +fi + +# 9. CosyVoice模型 +# CosyVoice model +# Check if the CosyVoice checkpoints directory exists +if [ -d "checkpoints/CosyVoice_ckpt" ]; then + # Create the CosyVoice/pretrained_models directory if it doesn't exist + if [ -d "CosyVoice/pretrained_models" ]; then + rm -rf CosyVoice/pretrained_models + fi + mkdir -p CosyVoice/pretrained_models # 創建新目錄 + +# Move the CosyVoice-ttsfrd directory to the CosyVoice/pretrained_models directory + mv checkpoints/CosyVoice_ckpt/CosyVoice-ttsfrd CosyVoice/pretrained_models + + # Check if the move operation was successful + if [ $? -ne 0 ]; then + echo "Failed to move CosyVoice-ttsfrd directory." + echo "移动 CosyVoice-ttsfrd 目录失败。" + exit 1 + fi + + # Unzip the resource.zip file inside the CosyVoice-ttsfrd directory + unzip CosyVoice/pretrained_models/CosyVoice-ttsfrd/resource.zip -d CosyVoice/pretrained_models/CosyVoice-ttsfrd + pip install CosyVoice/pretrained_models/CosyVoice-ttsfrd/ttsfrd-0.3.6-cp38-cp38-linux_x86_64.whl + + # Check if the unzip operation was successful + if [ $? -ne 0 ]; then + echo "Failed to unzip resource.zip." + echo "解压 resource.zip 失败。" + exit 1 + + fi +else + echo "Directory Kedreamix/Linly-Talker/checkpoints/CosyVoice_ckpt does not exist, cannot move CosyVoice model." + echo "目录 Kedreamix/Linly-Talker/checkpoints/CosyVoice_ckpt 不存在，无法移动 CosyVoice 模型。" + # exit 1 +fi + +echo "All models have been successfully moved and are ready." +echo "所有模型已成功移动并准备就绪。" diff --git a/scripts/huggingface_download.py b/scripts/huggingface_download.py new file mode 100644 index 0000000000000000000000000000000000000000..b5a167d05799e4a642f77cb54d68b4a089017220 --- /dev/null +++ b/scripts/huggingface_download.py @@ -0,0 +1,11 @@ +# pip install huggingface_hub +# https://huggingface.co/Kedreamix/Linly-Talker +from huggingface_hub import snapshot_download + +snapshot_download( + repo_id="Kedreamix/Linly-Talker", + resume_download=True, + local_dir="Kedreamix/Linly-Talker", + local_dir_use_symlinks=False, +# proxies={"https": "http://localhost:7890"} +) \ No newline at end of file diff --git a/scripts/install.sh b/scripts/install.sh new file mode 100644 index 0000000000000000000000000000000000000000..017a3697302c40a16d61bfb2b2c95b422ce28977 --- /dev/null +++ b/scripts/install.sh @@ -0,0 +1,14 @@ +# 升级pip +python -m pip install --upgrade pip +# 更换 pypi 源加速库的安装 +pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple + +pip install tb-nightly -i https://mirrors.aliyun.com/pypi/simple +pip install -r requirements_webui.txt + +# 安装有关musetalk依赖 +pip install --no-cache-dir -U openmim +mim install mmengine +mim install "mmcv>=2.0.1" +mim install "mmdet>=3.1.0" +mim install "mmpose>=1.1.0" \ No newline at end of file diff --git a/scripts/install_pytorch3d.py b/scripts/install_pytorch3d.py new file mode 100644 index 0000000000000000000000000000000000000000..21bf48fcb40d4190cb464448c31c3910e07d47dc --- /dev/null +++ b/scripts/install_pytorch3d.py @@ -0,0 +1,12 @@ +import sys +import torch +import subprocess + +pyt_version_str=torch.__version__.split("+")[0].replace(".", "") +version_str="".join([ + f"py3{sys.version_info.minor}_cu", + torch.version.cuda.replace(".",""), + f"_pyt{pyt_version_str}" +]) +subprocess.run(["pip", "install", "fvcore", "iopath"]) +subprocess.run(["pip", "install", f"--no-index", f"--no-cache-dir", f"pytorch3d", f"-f", f"https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html"]) \ No newline at end of file diff --git a/scripts/modelscope_download.py b/scripts/modelscope_download.py new file mode 100644 index 0000000000000000000000000000000000000000..ca798b771c12f24911f86893da68a53417958ffc --- /dev/null +++ b/scripts/modelscope_download.py @@ -0,0 +1,4 @@ +# pip install modelscope +# https://www.modelscope.cn/models/Kedreamix/Linly-Talker/summary +from modelscope import snapshot_download +model_dir = snapshot_download('Kedreamix/Linly-Talker', cache_dir='./', revision='master') \ No newline at end of file diff --git a/src/Record.py b/src/Record.py new file mode 100644 index 0000000000000000000000000000000000000000..e47938a2a186e4e2ca6b30185f56bd4252148bdb --- /dev/null +++ b/src/Record.py @@ -0,0 +1,70 @@ +import pyaudio +import wave +import audioop + +class Record: + def __init__(self, output_file, silence_threshold=1000): + self.output_file = output_file + self.silence_threshold = silence_threshold + + # 设置录音参数 + self.format = pyaudio.paInt16 + self.channels = 1 + self.sample_rate = 44100 + self.chunk = 1024 + self.audio = pyaudio.PyAudio() + + def start_recording(self): + # 打开音频流 + stream = self.audio.open(format=self.format, + channels=self.channels, + rate=self.sample_rate, + input=True, + frames_per_buffer=self.chunk) + + print("开始录音...") + + frames = [] + silence_counter = 0 + + # 录制音频 + while True: + data = stream.read(self.chunk) + frames.append(data) + + # 计算音频能量（RMS） + rms = audioop.rms(data, 2) # 2表示样本的宽度为2字节（16位） + + if rms < self.silence_threshold: + silence_counter += 1 + else: + silence_counter = 0 + + # 如果连续一段时间都检测到静音，则认为录音结束 + if silence_counter >= 100: # 假设每个chunk为10毫秒，连续1秒的静音 + break + + print("录音结束.") + + # 关闭流 + stream.stop_stream() + stream.close() + self.audio.terminate() + + # 将录制的音频保存到WAV文件 + with wave.open(self.output_file, 'wb') as wf: + wf.setnchannels(self.channels) + wf.setsampwidth(self.audio.get_sample_size(self.format)) + wf.setframerate(self.sample_rate) + wf.writeframes(b''.join(frames)) + + +def test(): + # 创建Record对象并开始录音 + output_file = "recording.wav" # 输出文件名 + silence_threshold = 500 # 静音阈值 + + recorder = Record(output_file, silence_threshold) + recorder.start_recording() + +# test() \ No newline at end of file diff --git a/src/audio2exp_models/audio2exp.py b/src/audio2exp_models/audio2exp.py new file mode 100644 index 0000000000000000000000000000000000000000..9e79a929560592687a505e13188796e2b0ca8772 --- /dev/null +++ b/src/audio2exp_models/audio2exp.py @@ -0,0 +1,41 @@ +from tqdm import tqdm +import torch +from torch import nn + + +class Audio2Exp(nn.Module): + def __init__(self, netG, cfg, device, prepare_training_loss=False): + super(Audio2Exp, self).__init__() + self.cfg = cfg + self.device = device + self.netG = netG.to(device) + + def test(self, batch): + + mel_input = batch['indiv_mels'] # bs T 1 80 16 + bs = mel_input.shape[0] + T = mel_input.shape[1] + + exp_coeff_pred = [] + + for i in tqdm(range(0, T, 10),'audio2exp:'): # every 10 frames + + current_mel_input = mel_input[:,i:i+10] + + #ref = batch['ref'][:, :, :64].repeat((1,current_mel_input.shape[1],1)) #bs T 64 + ref = batch['ref'][:, :, :64][:, i:i+10] + ratio = batch['ratio_gt'][:, i:i+10] #bs T + + audiox = current_mel_input.view(-1, 1, 80, 16) # bs*T 1 80 16 + + curr_exp_coeff_pred = self.netG(audiox, ref, ratio) # bs T 64 + + exp_coeff_pred += [curr_exp_coeff_pred] + + # BS x T x 64 + results_dict = { + 'exp_coeff_pred': torch.cat(exp_coeff_pred, axis=1) + } + return results_dict + + diff --git a/src/audio2exp_models/networks.py b/src/audio2exp_models/networks.py new file mode 100644 index 0000000000000000000000000000000000000000..f052e18101f5446a527ae354b3621e7d0d4991cc --- /dev/null +++ b/src/audio2exp_models/networks.py @@ -0,0 +1,74 @@ +import torch +import torch.nn.functional as F +from torch import nn + +class Conv2d(nn.Module): + def __init__(self, cin, cout, kernel_size, stride, padding, residual=False, use_act = True, *args, **kwargs): + super().__init__(*args, **kwargs) + self.conv_block = nn.Sequential( + nn.Conv2d(cin, cout, kernel_size, stride, padding), + nn.BatchNorm2d(cout) + ) + self.act = nn.ReLU() + self.residual = residual + self.use_act = use_act + + def forward(self, x): + out = self.conv_block(x) + if self.residual: + out += x + + if self.use_act: + return self.act(out) + else: + return out + +class SimpleWrapperV2(nn.Module): + def __init__(self) -> None: + super().__init__() + self.audio_encoder = nn.Sequential( + Conv2d(1, 32, kernel_size=3, stride=1, padding=1), + Conv2d(32, 32, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(32, 32, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(32, 64, kernel_size=3, stride=(3, 1), padding=1), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(64, 128, kernel_size=3, stride=3, padding=1), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(128, 256, kernel_size=3, stride=(3, 2), padding=1), + Conv2d(256, 256, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(256, 512, kernel_size=3, stride=1, padding=0), + Conv2d(512, 512, kernel_size=1, stride=1, padding=0), + ) + + #### load the pre-trained audio_encoder + #self.audio_encoder = self.audio_encoder.to(device) + ''' + wav2lip_state_dict = torch.load('/apdcephfs_cq2/share_1290939/wenxuazhang/checkpoints/wav2lip.pth')['state_dict'] + state_dict = self.audio_encoder.state_dict() + + for k,v in wav2lip_state_dict.items(): + if 'audio_encoder' in k: + print('init:', k) + state_dict[k.replace('module.audio_encoder.', '')] = v + self.audio_encoder.load_state_dict(state_dict) + ''' + + self.mapping1 = nn.Linear(512+64+1, 64) + #self.mapping2 = nn.Linear(30, 64) + #nn.init.constant_(self.mapping1.weight, 0.) + nn.init.constant_(self.mapping1.bias, 0.) + + def forward(self, x, ref, ratio): + x = self.audio_encoder(x).view(x.size(0), -1) + ref_reshape = ref.reshape(x.size(0), -1) + ratio = ratio.reshape(x.size(0), -1) + + y = self.mapping1(torch.cat([x, ref_reshape, ratio], dim=1)) + out = y.reshape(ref.shape[0], ref.shape[1], -1) #+ ref # resudial + return out diff --git a/src/audio2pose_models/audio2pose.py b/src/audio2pose_models/audio2pose.py new file mode 100644 index 0000000000000000000000000000000000000000..2b8cd1427038460a7679260a424d2f01d2bcf2c5 --- /dev/null +++ b/src/audio2pose_models/audio2pose.py @@ -0,0 +1,94 @@ +import torch +from torch import nn +from src.audio2pose_models.cvae import CVAE +from src.audio2pose_models.discriminator import PoseSequenceDiscriminator +from src.audio2pose_models.audio_encoder import AudioEncoder + +class Audio2Pose(nn.Module): + def __init__(self, cfg, wav2lip_checkpoint, device='cuda'): + super().__init__() + self.cfg = cfg + self.seq_len = cfg.MODEL.CVAE.SEQ_LEN + self.latent_dim = cfg.MODEL.CVAE.LATENT_SIZE + self.device = device + + self.audio_encoder = AudioEncoder(wav2lip_checkpoint, device) + self.audio_encoder.eval() + for param in self.audio_encoder.parameters(): + param.requires_grad = False + + self.netG = CVAE(cfg) + self.netD_motion = PoseSequenceDiscriminator(cfg) + + + def forward(self, x): + + batch = {} + coeff_gt = x['gt'].cuda().squeeze(0) #bs frame_len+1 73 + batch['pose_motion_gt'] = coeff_gt[:, 1:, 64:70] - coeff_gt[:, :1, 64:70] #bs frame_len 6 + batch['ref'] = coeff_gt[:, 0, 64:70] #bs 6 + batch['class'] = x['class'].squeeze(0).cuda() # bs + indiv_mels= x['indiv_mels'].cuda().squeeze(0) # bs seq_len+1 80 16 + + # forward + audio_emb_list = [] + audio_emb = self.audio_encoder(indiv_mels[:, 1:, :, :].unsqueeze(2)) #bs seq_len 512 + batch['audio_emb'] = audio_emb + batch = self.netG(batch) + + pose_motion_pred = batch['pose_motion_pred'] # bs frame_len 6 + pose_gt = coeff_gt[:, 1:, 64:70].clone() # bs frame_len 6 + pose_pred = coeff_gt[:, :1, 64:70] + pose_motion_pred # bs frame_len 6 + + batch['pose_pred'] = pose_pred + batch['pose_gt'] = pose_gt + + return batch + + def test(self, x): + + batch = {} + ref = x['ref'] #bs 1 70 + batch['ref'] = x['ref'][:,0,-6:] + batch['class'] = x['class'] + bs = ref.shape[0] + + indiv_mels= x['indiv_mels'] # bs T 1 80 16 + indiv_mels_use = indiv_mels[:, 1:] # we regard the ref as the first frame + num_frames = x['num_frames'] + num_frames = int(num_frames) - 1 + + # + div = num_frames//self.seq_len + re = num_frames%self.seq_len + audio_emb_list = [] + pose_motion_pred_list = [torch.zeros(batch['ref'].unsqueeze(1).shape, dtype=batch['ref'].dtype, + device=batch['ref'].device)] + + for i in range(div): + z = torch.randn(bs, self.latent_dim).to(ref.device) + batch['z'] = z + audio_emb = self.audio_encoder(indiv_mels_use[:, i*self.seq_len:(i+1)*self.seq_len,:,:,:]) #bs seq_len 512 + batch['audio_emb'] = audio_emb + batch = self.netG.test(batch) + pose_motion_pred_list.append(batch['pose_motion_pred']) #list of bs seq_len 6 + + if re != 0: + z = torch.randn(bs, self.latent_dim).to(ref.device) + batch['z'] = z + audio_emb = self.audio_encoder(indiv_mels_use[:, -1*self.seq_len:,:,:,:]) #bs seq_len 512 + if audio_emb.shape[1] != self.seq_len: + pad_dim = self.seq_len-audio_emb.shape[1] + pad_audio_emb = audio_emb[:, :1].repeat(1, pad_dim, 1) + audio_emb = torch.cat([pad_audio_emb, audio_emb], 1) + batch['audio_emb'] = audio_emb + batch = self.netG.test(batch) + pose_motion_pred_list.append(batch['pose_motion_pred'][:,-1*re:,:]) + + pose_motion_pred = torch.cat(pose_motion_pred_list, dim = 1) + batch['pose_motion_pred'] = pose_motion_pred + + pose_pred = ref[:, :1, -6:] + pose_motion_pred # bs T 6 + + batch['pose_pred'] = pose_pred + return batch diff --git a/src/audio2pose_models/audio_encoder.py b/src/audio2pose_models/audio_encoder.py new file mode 100644 index 0000000000000000000000000000000000000000..6279d2014a2e786a6c549f084339e18d00e50331 --- /dev/null +++ b/src/audio2pose_models/audio_encoder.py @@ -0,0 +1,64 @@ +import torch +from torch import nn +from torch.nn import functional as F + +class Conv2d(nn.Module): + def __init__(self, cin, cout, kernel_size, stride, padding, residual=False, *args, **kwargs): + super().__init__(*args, **kwargs) + self.conv_block = nn.Sequential( + nn.Conv2d(cin, cout, kernel_size, stride, padding), + nn.BatchNorm2d(cout) + ) + self.act = nn.ReLU() + self.residual = residual + + def forward(self, x): + out = self.conv_block(x) + if self.residual: + out += x + return self.act(out) + +class AudioEncoder(nn.Module): + def __init__(self, wav2lip_checkpoint, device): + super(AudioEncoder, self).__init__() + + self.audio_encoder = nn.Sequential( + Conv2d(1, 32, kernel_size=3, stride=1, padding=1), + Conv2d(32, 32, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(32, 32, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(32, 64, kernel_size=3, stride=(3, 1), padding=1), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(64, 128, kernel_size=3, stride=3, padding=1), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(128, 256, kernel_size=3, stride=(3, 2), padding=1), + Conv2d(256, 256, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(256, 512, kernel_size=3, stride=1, padding=0), + Conv2d(512, 512, kernel_size=1, stride=1, padding=0),) + + #### load the pre-trained audio_encoder, we do not need to load wav2lip model here. + # wav2lip_state_dict = torch.load(wav2lip_checkpoint, map_location=torch.device(device))['state_dict'] + # state_dict = self.audio_encoder.state_dict() + + # for k,v in wav2lip_state_dict.items(): + # if 'audio_encoder' in k: + # state_dict[k.replace('module.audio_encoder.', '')] = v + # self.audio_encoder.load_state_dict(state_dict) + + + def forward(self, audio_sequences): + # audio_sequences = (B, T, 1, 80, 16) + B = audio_sequences.size(0) + + audio_sequences = torch.cat([audio_sequences[:, i] for i in range(audio_sequences.size(1))], dim=0) + + audio_embedding = self.audio_encoder(audio_sequences) # B, 512, 1, 1 + dim = audio_embedding.shape[1] + audio_embedding = audio_embedding.reshape((B, -1, dim, 1, 1)) + + return audio_embedding.squeeze(-1).squeeze(-1) #B seq_len+1 512 diff --git a/src/audio2pose_models/cvae.py b/src/audio2pose_models/cvae.py new file mode 100644 index 0000000000000000000000000000000000000000..d017ce865a03bae40dfe066dbcd82e29839d89dc --- /dev/null +++ b/src/audio2pose_models/cvae.py @@ -0,0 +1,149 @@ +import torch +import torch.nn.functional as F +from torch import nn +from src.audio2pose_models.res_unet import ResUnet + +def class2onehot(idx, class_num): + + assert torch.max(idx).item() < class_num + onehot = torch.zeros(idx.size(0), class_num).to(idx.device) + onehot.scatter_(1, idx, 1) + return onehot + +class CVAE(nn.Module): + def __init__(self, cfg): + super().__init__() + encoder_layer_sizes = cfg.MODEL.CVAE.ENCODER_LAYER_SIZES + decoder_layer_sizes = cfg.MODEL.CVAE.DECODER_LAYER_SIZES + latent_size = cfg.MODEL.CVAE.LATENT_SIZE + num_classes = cfg.DATASET.NUM_CLASSES + audio_emb_in_size = cfg.MODEL.CVAE.AUDIO_EMB_IN_SIZE + audio_emb_out_size = cfg.MODEL.CVAE.AUDIO_EMB_OUT_SIZE + seq_len = cfg.MODEL.CVAE.SEQ_LEN + + self.latent_size = latent_size + + self.encoder = ENCODER(encoder_layer_sizes, latent_size, num_classes, + audio_emb_in_size, audio_emb_out_size, seq_len) + self.decoder = DECODER(decoder_layer_sizes, latent_size, num_classes, + audio_emb_in_size, audio_emb_out_size, seq_len) + def reparameterize(self, mu, logvar): + std = torch.exp(0.5 * logvar) + eps = torch.randn_like(std) + return mu + eps * std + + def forward(self, batch): + batch = self.encoder(batch) + mu = batch['mu'] + logvar = batch['logvar'] + z = self.reparameterize(mu, logvar) + batch['z'] = z + return self.decoder(batch) + + def test(self, batch): + ''' + class_id = batch['class'] + z = torch.randn([class_id.size(0), self.latent_size]).to(class_id.device) + batch['z'] = z + ''' + return self.decoder(batch) + +class ENCODER(nn.Module): + def __init__(self, layer_sizes, latent_size, num_classes, + audio_emb_in_size, audio_emb_out_size, seq_len): + super().__init__() + + self.resunet = ResUnet() + self.num_classes = num_classes + self.seq_len = seq_len + + self.MLP = nn.Sequential() + layer_sizes[0] += latent_size + seq_len*audio_emb_out_size + 6 + for i, (in_size, out_size) in enumerate(zip(layer_sizes[:-1], layer_sizes[1:])): + self.MLP.add_module( + name="L{:d}".format(i), module=nn.Linear(in_size, out_size)) + self.MLP.add_module(name="A{:d}".format(i), module=nn.ReLU()) + + self.linear_means = nn.Linear(layer_sizes[-1], latent_size) + self.linear_logvar = nn.Linear(layer_sizes[-1], latent_size) + self.linear_audio = nn.Linear(audio_emb_in_size, audio_emb_out_size) + + self.classbias = nn.Parameter(torch.randn(self.num_classes, latent_size)) + + def forward(self, batch): + class_id = batch['class'] + pose_motion_gt = batch['pose_motion_gt'] #bs seq_len 6 + ref = batch['ref'] #bs 6 + bs = pose_motion_gt.shape[0] + audio_in = batch['audio_emb'] # bs seq_len audio_emb_in_size + + #pose encode + pose_emb = self.resunet(pose_motion_gt.unsqueeze(1)) #bs 1 seq_len 6 + pose_emb = pose_emb.reshape(bs, -1) #bs seq_len*6 + + #audio mapping + print(audio_in.shape) + audio_out = self.linear_audio(audio_in) # bs seq_len audio_emb_out_size + audio_out = audio_out.reshape(bs, -1) + + class_bias = self.classbias[class_id] #bs latent_size + x_in = torch.cat([ref, pose_emb, audio_out, class_bias], dim=-1) #bs seq_len*(audio_emb_out_size+6)+latent_size + x_out = self.MLP(x_in) + + mu = self.linear_means(x_out) + logvar = self.linear_means(x_out) #bs latent_size + + batch.update({'mu':mu, 'logvar':logvar}) + return batch + +class DECODER(nn.Module): + def __init__(self, layer_sizes, latent_size, num_classes, + audio_emb_in_size, audio_emb_out_size, seq_len): + super().__init__() + + self.resunet = ResUnet() + self.num_classes = num_classes + self.seq_len = seq_len + + self.MLP = nn.Sequential() + input_size = latent_size + seq_len*audio_emb_out_size + 6 + for i, (in_size, out_size) in enumerate(zip([input_size]+layer_sizes[:-1], layer_sizes)): + self.MLP.add_module( + name="L{:d}".format(i), module=nn.Linear(in_size, out_size)) + if i+1 < len(layer_sizes): + self.MLP.add_module(name="A{:d}".format(i), module=nn.ReLU()) + else: + self.MLP.add_module(name="sigmoid", module=nn.Sigmoid()) + + self.pose_linear = nn.Linear(6, 6) + self.linear_audio = nn.Linear(audio_emb_in_size, audio_emb_out_size) + + self.classbias = nn.Parameter(torch.randn(self.num_classes, latent_size)) + + def forward(self, batch): + + z = batch['z'] #bs latent_size + bs = z.shape[0] + class_id = batch['class'] + ref = batch['ref'] #bs 6 + audio_in = batch['audio_emb'] # bs seq_len audio_emb_in_size + #print('audio_in: ', audio_in[:, :, :10]) + + audio_out = self.linear_audio(audio_in) # bs seq_len audio_emb_out_size + #print('audio_out: ', audio_out[:, :, :10]) + audio_out = audio_out.reshape([bs, -1]) # bs seq_len*audio_emb_out_size + class_bias = self.classbias[class_id] #bs latent_size + + z = z + class_bias + x_in = torch.cat([ref, z, audio_out], dim=-1) + x_out = self.MLP(x_in) # bs layer_sizes[-1] + x_out = x_out.reshape((bs, self.seq_len, -1)) + + #print('x_out: ', x_out) + + pose_emb = self.resunet(x_out.unsqueeze(1)) #bs 1 seq_len 6 + + pose_motion_pred = self.pose_linear(pose_emb.squeeze(1)) #bs seq_len 6 + + batch.update({'pose_motion_pred':pose_motion_pred}) + return batch diff --git a/src/audio2pose_models/discriminator.py b/src/audio2pose_models/discriminator.py new file mode 100644 index 0000000000000000000000000000000000000000..339c38e4812ff38a810f0f3a1c01812f6d5d78db --- /dev/null +++ b/src/audio2pose_models/discriminator.py @@ -0,0 +1,76 @@ +import torch +import torch.nn.functional as F +from torch import nn + +class ConvNormRelu(nn.Module): + def __init__(self, conv_type='1d', in_channels=3, out_channels=64, downsample=False, + kernel_size=None, stride=None, padding=None, norm='BN', leaky=False): + super().__init__() + if kernel_size is None: + if downsample: + kernel_size, stride, padding = 4, 2, 1 + else: + kernel_size, stride, padding = 3, 1, 1 + + if conv_type == '2d': + self.conv = nn.Conv2d( + in_channels, + out_channels, + kernel_size, + stride, + padding, + bias=False, + ) + if norm == 'BN': + self.norm = nn.BatchNorm2d(out_channels) + elif norm == 'IN': + self.norm = nn.InstanceNorm2d(out_channels) + else: + raise NotImplementedError + elif conv_type == '1d': + self.conv = nn.Conv1d( + in_channels, + out_channels, + kernel_size, + stride, + padding, + bias=False, + ) + if norm == 'BN': + self.norm = nn.BatchNorm1d(out_channels) + elif norm == 'IN': + self.norm = nn.InstanceNorm1d(out_channels) + else: + raise NotImplementedError + nn.init.kaiming_normal_(self.conv.weight) + + self.act = nn.LeakyReLU(negative_slope=0.2, inplace=False) if leaky else nn.ReLU(inplace=True) + + def forward(self, x): + x = self.conv(x) + if isinstance(self.norm, nn.InstanceNorm1d): + x = self.norm(x.permute((0, 2, 1))).permute((0, 2, 1)) # normalize on [C] + else: + x = self.norm(x) + x = self.act(x) + return x + + +class PoseSequenceDiscriminator(nn.Module): + def __init__(self, cfg): + super().__init__() + self.cfg = cfg + leaky = self.cfg.MODEL.DISCRIMINATOR.LEAKY_RELU + + self.seq = nn.Sequential( + ConvNormRelu('1d', cfg.MODEL.DISCRIMINATOR.INPUT_CHANNELS, 256, downsample=True, leaky=leaky), # B, 256, 64 + ConvNormRelu('1d', 256, 512, downsample=True, leaky=leaky), # B, 512, 32 + ConvNormRelu('1d', 512, 1024, kernel_size=3, stride=1, padding=1, leaky=leaky), # B, 1024, 16 + nn.Conv1d(1024, 1, kernel_size=3, stride=1, padding=1, bias=True) # B, 1, 16 + ) + + def forward(self, x): + x = x.reshape(x.size(0), x.size(1), -1).transpose(1, 2) + x = self.seq(x) + x = x.squeeze(1) + return x \ No newline at end of file diff --git a/src/audio2pose_models/networks.py b/src/audio2pose_models/networks.py new file mode 100644 index 0000000000000000000000000000000000000000..8aa0b1390e7b4bb0e16057ac94d2fe84f48421af --- /dev/null +++ b/src/audio2pose_models/networks.py @@ -0,0 +1,140 @@ +import torch.nn as nn +import torch + + +class ResidualConv(nn.Module): + def __init__(self, input_dim, output_dim, stride, padding): + super(ResidualConv, self).__init__() + + self.conv_block = nn.Sequential( + nn.BatchNorm2d(input_dim), + nn.ReLU(), + nn.Conv2d( + input_dim, output_dim, kernel_size=3, stride=stride, padding=padding + ), + nn.BatchNorm2d(output_dim), + nn.ReLU(), + nn.Conv2d(output_dim, output_dim, kernel_size=3, padding=1), + ) + self.conv_skip = nn.Sequential( + nn.Conv2d(input_dim, output_dim, kernel_size=3, stride=stride, padding=1), + nn.BatchNorm2d(output_dim), + ) + + def forward(self, x): + + return self.conv_block(x) + self.conv_skip(x) + + +class Upsample(nn.Module): + def __init__(self, input_dim, output_dim, kernel, stride): + super(Upsample, self).__init__() + + self.upsample = nn.ConvTranspose2d( + input_dim, output_dim, kernel_size=kernel, stride=stride + ) + + def forward(self, x): + return self.upsample(x) + + +class Squeeze_Excite_Block(nn.Module): + def __init__(self, channel, reduction=16): + super(Squeeze_Excite_Block, self).__init__() + self.avg_pool = nn.AdaptiveAvgPool2d(1) + self.fc = nn.Sequential( + nn.Linear(channel, channel // reduction, bias=False), + nn.ReLU(inplace=True), + nn.Linear(channel // reduction, channel, bias=False), + nn.Sigmoid(), + ) + + def forward(self, x): + b, c, _, _ = x.size() + y = self.avg_pool(x).view(b, c) + y = self.fc(y).view(b, c, 1, 1) + return x * y.expand_as(x) + + +class ASPP(nn.Module): + def __init__(self, in_dims, out_dims, rate=[6, 12, 18]): + super(ASPP, self).__init__() + + self.aspp_block1 = nn.Sequential( + nn.Conv2d( + in_dims, out_dims, 3, stride=1, padding=rate[0], dilation=rate[0] + ), + nn.ReLU(inplace=True), + nn.BatchNorm2d(out_dims), + ) + self.aspp_block2 = nn.Sequential( + nn.Conv2d( + in_dims, out_dims, 3, stride=1, padding=rate[1], dilation=rate[1] + ), + nn.ReLU(inplace=True), + nn.BatchNorm2d(out_dims), + ) + self.aspp_block3 = nn.Sequential( + nn.Conv2d( + in_dims, out_dims, 3, stride=1, padding=rate[2], dilation=rate[2] + ), + nn.ReLU(inplace=True), + nn.BatchNorm2d(out_dims), + ) + + self.output = nn.Conv2d(len(rate) * out_dims, out_dims, 1) + self._init_weights() + + def forward(self, x): + x1 = self.aspp_block1(x) + x2 = self.aspp_block2(x) + x3 = self.aspp_block3(x) + out = torch.cat([x1, x2, x3], dim=1) + return self.output(out) + + def _init_weights(self): + for m in self.modules(): + if isinstance(m, nn.Conv2d): + nn.init.kaiming_normal_(m.weight) + elif isinstance(m, nn.BatchNorm2d): + m.weight.data.fill_(1) + m.bias.data.zero_() + + +class Upsample_(nn.Module): + def __init__(self, scale=2): + super(Upsample_, self).__init__() + + self.upsample = nn.Upsample(mode="bilinear", scale_factor=scale) + + def forward(self, x): + return self.upsample(x) + + +class AttentionBlock(nn.Module): + def __init__(self, input_encoder, input_decoder, output_dim): + super(AttentionBlock, self).__init__() + + self.conv_encoder = nn.Sequential( + nn.BatchNorm2d(input_encoder), + nn.ReLU(), + nn.Conv2d(input_encoder, output_dim, 3, padding=1), + nn.MaxPool2d(2, 2), + ) + + self.conv_decoder = nn.Sequential( + nn.BatchNorm2d(input_decoder), + nn.ReLU(), + nn.Conv2d(input_decoder, output_dim, 3, padding=1), + ) + + self.conv_attn = nn.Sequential( + nn.BatchNorm2d(output_dim), + nn.ReLU(), + nn.Conv2d(output_dim, 1, 1), + ) + + def forward(self, x1, x2): + out = self.conv_encoder(x1) + self.conv_decoder(x2) + out = self.conv_attn(out) + return out * x2 \ No newline at end of file diff --git a/src/audio2pose_models/res_unet.py b/src/audio2pose_models/res_unet.py new file mode 100644 index 0000000000000000000000000000000000000000..f2611e1d1a9bf233507427b34928fca60e094224 --- /dev/null +++ b/src/audio2pose_models/res_unet.py @@ -0,0 +1,65 @@ +import torch +import torch.nn as nn +from src.audio2pose_models.networks import ResidualConv, Upsample + + +class ResUnet(nn.Module): + def __init__(self, channel=1, filters=[32, 64, 128, 256]): + super(ResUnet, self).__init__() + + self.input_layer = nn.Sequential( + nn.Conv2d(channel, filters[0], kernel_size=3, padding=1), + nn.BatchNorm2d(filters[0]), + nn.ReLU(), + nn.Conv2d(filters[0], filters[0], kernel_size=3, padding=1), + ) + self.input_skip = nn.Sequential( + nn.Conv2d(channel, filters[0], kernel_size=3, padding=1) + ) + + self.residual_conv_1 = ResidualConv(filters[0], filters[1], stride=(2,1), padding=1) + self.residual_conv_2 = ResidualConv(filters[1], filters[2], stride=(2,1), padding=1) + + self.bridge = ResidualConv(filters[2], filters[3], stride=(2,1), padding=1) + + self.upsample_1 = Upsample(filters[3], filters[3], kernel=(2,1), stride=(2,1)) + self.up_residual_conv1 = ResidualConv(filters[3] + filters[2], filters[2], stride=1, padding=1) + + self.upsample_2 = Upsample(filters[2], filters[2], kernel=(2,1), stride=(2,1)) + self.up_residual_conv2 = ResidualConv(filters[2] + filters[1], filters[1], stride=1, padding=1) + + self.upsample_3 = Upsample(filters[1], filters[1], kernel=(2,1), stride=(2,1)) + self.up_residual_conv3 = ResidualConv(filters[1] + filters[0], filters[0], stride=1, padding=1) + + self.output_layer = nn.Sequential( + nn.Conv2d(filters[0], 1, 1, 1), + nn.Sigmoid(), + ) + + def forward(self, x): + # Encode + x1 = self.input_layer(x) + self.input_skip(x) + x2 = self.residual_conv_1(x1) + x3 = self.residual_conv_2(x2) + # Bridge + x4 = self.bridge(x3) + + # Decode + x4 = self.upsample_1(x4) + x5 = torch.cat([x4, x3], dim=1) + + x6 = self.up_residual_conv1(x5) + + x6 = self.upsample_2(x6) + x7 = torch.cat([x6, x2], dim=1) + + x8 = self.up_residual_conv2(x7) + + x8 = self.upsample_3(x8) + x9 = torch.cat([x8, x1], dim=1) + + x10 = self.up_residual_conv3(x9) + + output = self.output_layer(x10) + + return output \ No newline at end of file diff --git a/src/config/auido2exp.yaml b/src/config/auido2exp.yaml new file mode 100644 index 0000000000000000000000000000000000000000..7369dbf350476e14a1d600507f1f8b7d8aa6ecd3 --- /dev/null +++ b/src/config/auido2exp.yaml @@ -0,0 +1,58 @@ +DATASET: + TRAIN_FILE_LIST: /apdcephfs_cq2/share_1290939/wenxuazhang/code/file_list/train.txt + EVAL_FILE_LIST: /apdcephfs_cq2/share_1290939/wenxuazhang/code/file_list/val.txt + TRAIN_BATCH_SIZE: 32 + EVAL_BATCH_SIZE: 32 + EXP: True + EXP_DIM: 64 + FRAME_LEN: 32 + COEFF_LEN: 73 + NUM_CLASSES: 46 + AUDIO_ROOT_PATH: /apdcephfs_cq2/share_1290939/wenxuazhang/voxceleb1/wav + COEFF_ROOT_PATH: /apdcephfs_cq2/share_1290939/wenxuazhang/voxceleb1/wav2lip_3dmm + LMDB_PATH: /apdcephfs_cq2/share_1290939/shadowcun/datasets/VoxCeleb/v1/imdb + DEBUG: True + NUM_REPEATS: 2 + T: 40 + + +MODEL: + FRAMEWORK: V2 + AUDIOENCODER: + LEAKY_RELU: True + NORM: 'IN' + DISCRIMINATOR: + LEAKY_RELU: False + INPUT_CHANNELS: 6 + CVAE: + AUDIO_EMB_IN_SIZE: 512 + AUDIO_EMB_OUT_SIZE: 128 + SEQ_LEN: 32 + LATENT_SIZE: 256 + ENCODER_LAYER_SIZES: [192, 1024] + DECODER_LAYER_SIZES: [1024, 192] + + +TRAIN: + MAX_EPOCH: 300 + GENERATOR: + LR: 2.0e-5 + DISCRIMINATOR: + LR: 1.0e-5 + LOSS: + W_FEAT: 0 + W_COEFF_EXP: 2 + W_LM: 1.0e-2 + W_LM_MOUTH: 0 + W_REG: 0 + W_SYNC: 0 + W_COLOR: 0 + W_EXPRESSION: 0 + W_LIPREADING: 0.01 + W_LIPREADING_VV: 0 + W_EYE_BLINK: 4 + +TAG: + NAME: small_dataset + + diff --git a/src/config/auido2pose.yaml b/src/config/auido2pose.yaml new file mode 100644 index 0000000000000000000000000000000000000000..bc61f94d12f406f2d8d02545e55b61075051484d --- /dev/null +++ b/src/config/auido2pose.yaml @@ -0,0 +1,49 @@ +DATASET: + TRAIN_FILE_LIST: /apdcephfs_cq2/share_1290939/wenxuazhang/code/audio2pose_unet_noAudio/dataset/train_33.txt + EVAL_FILE_LIST: /apdcephfs_cq2/share_1290939/wenxuazhang/code/audio2pose_unet_noAudio/dataset/val.txt + TRAIN_BATCH_SIZE: 64 + EVAL_BATCH_SIZE: 1 + EXP: True + EXP_DIM: 64 + FRAME_LEN: 32 + COEFF_LEN: 73 + NUM_CLASSES: 46 + AUDIO_ROOT_PATH: /apdcephfs_cq2/share_1290939/wenxuazhang/voxceleb1/wav + COEFF_ROOT_PATH: /apdcephfs_cq2/share_1290939/shadowcun/datasets/VoxCeleb/v1/imdb + DEBUG: True + + +MODEL: + AUDIOENCODER: + LEAKY_RELU: True + NORM: 'IN' + DISCRIMINATOR: + LEAKY_RELU: False + INPUT_CHANNELS: 6 + CVAE: + AUDIO_EMB_IN_SIZE: 512 + AUDIO_EMB_OUT_SIZE: 6 + SEQ_LEN: 32 + LATENT_SIZE: 64 + ENCODER_LAYER_SIZES: [192, 128] + DECODER_LAYER_SIZES: [128, 192] + + +TRAIN: + MAX_EPOCH: 150 + GENERATOR: + LR: 1.0e-4 + DISCRIMINATOR: + LR: 1.0e-4 + LOSS: + LAMBDA_REG: 1 + LAMBDA_LANDMARKS: 0 + LAMBDA_VERTICES: 0 + LAMBDA_GAN_MOTION: 0.7 + LAMBDA_GAN_COEFF: 0 + LAMBDA_KL: 1 + +TAG: + NAME: cvae_UNET_useAudio_usewav2lipAudioEncoder + + diff --git a/src/config/facerender.yaml b/src/config/facerender.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9494ef82dfa16b16b7aa0b848ebdd6b23e739e2a --- /dev/null +++ b/src/config/facerender.yaml @@ -0,0 +1,45 @@ +model_params: + common_params: + num_kp: 15 + image_channel: 3 + feature_channel: 32 + estimate_jacobian: False # True + kp_detector_params: + temperature: 0.1 + block_expansion: 32 + max_features: 1024 + scale_factor: 0.25 # 0.25 + num_blocks: 5 + reshape_channel: 16384 # 16384 = 1024 * 16 + reshape_depth: 16 + he_estimator_params: + block_expansion: 64 + max_features: 2048 + num_bins: 66 + generator_params: + block_expansion: 64 + max_features: 512 + num_down_blocks: 2 + reshape_channel: 32 + reshape_depth: 16 # 512 = 32 * 16 + num_resblocks: 6 + estimate_occlusion_map: True + dense_motion_params: + block_expansion: 32 + max_features: 1024 + num_blocks: 5 + reshape_depth: 16 + compress: 4 + discriminator_params: + scales: [1] + block_expansion: 32 + max_features: 512 + num_blocks: 4 + sn: True + mapping_params: + coeff_nc: 70 + descriptor_nc: 1024 + layer: 3 + num_kp: 15 + num_bins: 66 + diff --git a/src/config/facerender_pirender.yaml b/src/config/facerender_pirender.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e4f1da2908b46f06a17822d12ba97a5cc5c5f369 --- /dev/null +++ b/src/config/facerender_pirender.yaml @@ -0,0 +1,83 @@ +# How often do you want to log the training stats. +# network_list: +# gen: gen_optimizer +# dis: dis_optimizer + +distributed: False +image_to_tensorboard: True +snapshot_save_iter: 40000 +snapshot_save_epoch: 20 +snapshot_save_start_iter: 20000 +snapshot_save_start_epoch: 10 +image_save_iter: 1000 +max_epoch: 200 +logging_iter: 100 +results_dir: ./eval_results + +gen_optimizer: + type: adam + lr: 0.0001 + adam_beta1: 0.5 + adam_beta2: 0.999 + lr_policy: + iteration_mode: True + type: step + step_size: 300000 + gamma: 0.2 + +trainer: + type: trainers.face_trainer::FaceTrainer + pretrain_warp_iteration: 200000 + loss_weight: + weight_perceptual_warp: 2.5 + weight_perceptual_final: 4 + vgg_param_warp: + network: vgg19 + layers: ['relu_1_1', 'relu_2_1', 'relu_3_1', 'relu_4_1', 'relu_5_1'] + use_style_loss: False + num_scales: 4 + vgg_param_final: + network: vgg19 + layers: ['relu_1_1', 'relu_2_1', 'relu_3_1', 'relu_4_1', 'relu_5_1'] + use_style_loss: True + num_scales: 4 + style_to_perceptual: 250 + init: + type: 'normal' + gain: 0.02 +gen: + type: generators.face_model::FaceGenerator + param: + mapping_net: + coeff_nc: 73 + descriptor_nc: 256 + layer: 3 + warpping_net: + encoder_layer: 5 + decoder_layer: 3 + base_nc: 32 + editing_net: + layer: 3 + num_res_blocks: 2 + base_nc: 64 + common: + image_nc: 3 + descriptor_nc: 256 + max_nc: 256 + use_spect: False + + +# Data options. +data: + type: data.vox_dataset::VoxDataset + path: ./dataset/vox_lmdb + resolution: 256 + semantic_radius: 13 + train: + batch_size: 5 + distributed: True + val: + batch_size: 8 + distributed: True + + diff --git a/src/config/facerender_still.yaml b/src/config/facerender_still.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6b4d66dade3e655ac4cfc25a994ca28e53821d80 --- /dev/null +++ b/src/config/facerender_still.yaml @@ -0,0 +1,45 @@ +model_params: + common_params: + num_kp: 15 + image_channel: 3 + feature_channel: 32 + estimate_jacobian: False # True + kp_detector_params: + temperature: 0.1 + block_expansion: 32 + max_features: 1024 + scale_factor: 0.25 # 0.25 + num_blocks: 5 + reshape_channel: 16384 # 16384 = 1024 * 16 + reshape_depth: 16 + he_estimator_params: + block_expansion: 64 + max_features: 2048 + num_bins: 66 + generator_params: + block_expansion: 64 + max_features: 512 + num_down_blocks: 2 + reshape_channel: 32 + reshape_depth: 16 # 512 = 32 * 16 + num_resblocks: 6 + estimate_occlusion_map: True + dense_motion_params: + block_expansion: 32 + max_features: 1024 + num_blocks: 5 + reshape_depth: 16 + compress: 4 + discriminator_params: + scales: [1] + block_expansion: 32 + max_features: 512 + num_blocks: 4 + sn: True + mapping_params: + coeff_nc: 73 + descriptor_nc: 1024 + layer: 3 + num_kp: 15 + num_bins: 66 + diff --git a/src/config/similarity_Lm3D_all.mat b/src/config/similarity_Lm3D_all.mat new file mode 100644 index 0000000000000000000000000000000000000000..a0e23588302bc71fc899eef53ff06df5f4df4c1d Binary files /dev/null and b/src/config/similarity_Lm3D_all.mat differ diff --git a/src/cost_time.py b/src/cost_time.py new file mode 100644 index 0000000000000000000000000000000000000000..7e6d3e81bb190a76daadc621df6866b79cd39cc5 --- /dev/null +++ b/src/cost_time.py @@ -0,0 +1,11 @@ +import time + +# 定义装饰器 +def calculate_time(func): + def wrapper(*args, **kwargs): + start_time = time.time() + result = func(*args, **kwargs) + end_time = time.time() + print(f"函数 {func.__name__} 运行时间： {end_time - start_time} 秒") + return result + return wrapper \ No newline at end of file diff --git a/src/face3d/data/__init__.py b/src/face3d/data/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..9a9761c518a1b07c5996165869742af0a52c82bc --- /dev/null +++ b/src/face3d/data/__init__.py @@ -0,0 +1,116 @@ +"""This package includes all the modules related to data loading and preprocessing + + To add a custom dataset class called 'dummy', you need to add a file called 'dummy_dataset.py' and define a subclass 'DummyDataset' inherited from BaseDataset. + You need to implement four functions: + -- <__init__>: initialize the class, first call BaseDataset.__init__(self, opt). + -- <__len__>: return the size of dataset. + -- <__getitem__>: get a data point from data loader. + -- : (optionally) add dataset-specific options and set default options. + +Now you can use the dataset class by specifying flag '--dataset_mode dummy'. +See our template dataset class 'template_dataset.py' for more details. +""" +import numpy as np +import importlib +import torch.utils.data +from face3d.data.base_dataset import BaseDataset + + +def find_dataset_using_name(dataset_name): + """Import the module "data/[dataset_name]_dataset.py". + + In the file, the class called DatasetNameDataset() will + be instantiated. It has to be a subclass of BaseDataset, + and it is case-insensitive. + """ + dataset_filename = "data." + dataset_name + "_dataset" + datasetlib = importlib.import_module(dataset_filename) + + dataset = None + target_dataset_name = dataset_name.replace('_', '') + 'dataset' + for name, cls in datasetlib.__dict__.items(): + if name.lower() == target_dataset_name.lower() \ + and issubclass(cls, BaseDataset): + dataset = cls + + if dataset is None: + raise NotImplementedError("In %s.py, there should be a subclass of BaseDataset with class name that matches %s in lowercase." % (dataset_filename, target_dataset_name)) + + return dataset + + +def get_option_setter(dataset_name): + """Return the static method of the dataset class.""" + dataset_class = find_dataset_using_name(dataset_name) + return dataset_class.modify_commandline_options + + +def create_dataset(opt, rank=0): + """Create a dataset given the option. + + This function wraps the class CustomDatasetDataLoader. + This is the main interface between this package and 'train.py'/'test.py' + + Example: + >>> from data import create_dataset + >>> dataset = create_dataset(opt) + """ + data_loader = CustomDatasetDataLoader(opt, rank=rank) + dataset = data_loader.load_data() + return dataset + +class CustomDatasetDataLoader(): + """Wrapper class of Dataset class that performs multi-threaded data loading""" + + def __init__(self, opt, rank=0): + """Initialize this class + + Step 1: create a dataset instance given the name [dataset_mode] + Step 2: create a multi-threaded data loader. + """ + self.opt = opt + dataset_class = find_dataset_using_name(opt.dataset_mode) + self.dataset = dataset_class(opt) + self.sampler = None + print("rank %d %s dataset [%s] was created" % (rank, self.dataset.name, type(self.dataset).__name__)) + if opt.use_ddp and opt.isTrain: + world_size = opt.world_size + self.sampler = torch.utils.data.distributed.DistributedSampler( + self.dataset, + num_replicas=world_size, + rank=rank, + shuffle=not opt.serial_batches + ) + self.dataloader = torch.utils.data.DataLoader( + self.dataset, + sampler=self.sampler, + num_workers=int(opt.num_threads / world_size), + batch_size=int(opt.batch_size / world_size), + drop_last=True) + else: + self.dataloader = torch.utils.data.DataLoader( + self.dataset, + batch_size=opt.batch_size, + shuffle=(not opt.serial_batches) and opt.isTrain, + num_workers=int(opt.num_threads), + drop_last=True + ) + + def set_epoch(self, epoch): + self.dataset.current_epoch = epoch + if self.sampler is not None: + self.sampler.set_epoch(epoch) + + def load_data(self): + return self + + def __len__(self): + """Return the number of data in the dataset""" + return min(len(self.dataset), self.opt.max_dataset_size) + + def __iter__(self): + """Return a batch of data""" + for i, data in enumerate(self.dataloader): + if i * self.opt.batch_size >= self.opt.max_dataset_size: + break + yield data diff --git a/src/face3d/data/base_dataset.py b/src/face3d/data/base_dataset.py new file mode 100644 index 0000000000000000000000000000000000000000..1bd57d082d519f512d7114b4f867b6695fb7de06 --- /dev/null +++ b/src/face3d/data/base_dataset.py @@ -0,0 +1,125 @@ +"""This module implements an abstract base class (ABC) 'BaseDataset' for datasets. + +It also includes common transformation functions (e.g., get_transform, __scale_width), which can be later used in subclasses. +""" +import random +import numpy as np +import torch.utils.data as data +from PIL import Image +import torchvision.transforms as transforms +from abc import ABC, abstractmethod + + +class BaseDataset(data.Dataset, ABC): + """This class is an abstract base class (ABC) for datasets. + + To create a subclass, you need to implement the following four functions: + -- <__init__>: initialize the class, first call BaseDataset.__init__(self, opt). + -- <__len__>: return the size of dataset. + -- <__getitem__>: get a data point. + -- : (optionally) add dataset-specific options and set default options. + """ + + def __init__(self, opt): + """Initialize the class; save the options in the class + + Parameters: + opt (Option class)-- stores all the experiment flags; needs to be a subclass of BaseOptions + """ + self.opt = opt + # self.root = opt.dataroot + self.current_epoch = 0 + + @staticmethod + def modify_commandline_options(parser, is_train): + """Add new dataset-specific options, and rewrite default values for existing options. + + Parameters: + parser -- original option parser + is_train (bool) -- whether training phase or test phase. You can use this flag to add training-specific or test-specific options. + + Returns: + the modified parser. + """ + return parser + + @abstractmethod + def __len__(self): + """Return the total number of images in the dataset.""" + return 0 + + @abstractmethod + def __getitem__(self, index): + """Return a data point and its metadata information. + + Parameters: + index - - a random integer for data indexing + + Returns: + a dictionary of data with their names. It ususally contains the data itself and its metadata information. + """ + pass + + +def get_transform(grayscale=False): + transform_list = [] + if grayscale: + transform_list.append(transforms.Grayscale(1)) + transform_list += [transforms.ToTensor()] + return transforms.Compose(transform_list) + +def get_affine_mat(opt, size): + shift_x, shift_y, scale, rot_angle, flip = 0., 0., 1., 0., False + w, h = size + + if 'shift' in opt.preprocess: + shift_pixs = int(opt.shift_pixs) + shift_x = random.randint(-shift_pixs, shift_pixs) + shift_y = random.randint(-shift_pixs, shift_pixs) + if 'scale' in opt.preprocess: + scale = 1 + opt.scale_delta * (2 * random.random() - 1) + if 'rot' in opt.preprocess: + rot_angle = opt.rot_angle * (2 * random.random() - 1) + rot_rad = -rot_angle * np.pi/180 + if 'flip' in opt.preprocess: + flip = random.random() > 0.5 + + shift_to_origin = np.array([1, 0, -w//2, 0, 1, -h//2, 0, 0, 1]).reshape([3, 3]) + flip_mat = np.array([-1 if flip else 1, 0, 0, 0, 1, 0, 0, 0, 1]).reshape([3, 3]) + shift_mat = np.array([1, 0, shift_x, 0, 1, shift_y, 0, 0, 1]).reshape([3, 3]) + rot_mat = np.array([np.cos(rot_rad), np.sin(rot_rad), 0, -np.sin(rot_rad), np.cos(rot_rad), 0, 0, 0, 1]).reshape([3, 3]) + scale_mat = np.array([scale, 0, 0, 0, scale, 0, 0, 0, 1]).reshape([3, 3]) + shift_to_center = np.array([1, 0, w//2, 0, 1, h//2, 0, 0, 1]).reshape([3, 3]) + + affine = shift_to_center @ scale_mat @ rot_mat @ shift_mat @ flip_mat @ shift_to_origin + affine_inv = np.linalg.inv(affine) + return affine, affine_inv, flip + +def apply_img_affine(img, affine_inv, method=Image.BICUBIC): + return img.transform(img.size, Image.AFFINE, data=affine_inv.flatten()[:6], resample=Image.BICUBIC) + +def apply_lm_affine(landmark, affine, flip, size): + _, h = size + lm = landmark.copy() + lm[:, 1] = h - 1 - lm[:, 1] + lm = np.concatenate((lm, np.ones([lm.shape[0], 1])), -1) + lm = lm @ np.transpose(affine) + lm[:, :2] = lm[:, :2] / lm[:, 2:] + lm = lm[:, :2] + lm[:, 1] = h - 1 - lm[:, 1] + if flip: + lm_ = lm.copy() + lm_[:17] = lm[16::-1] + lm_[17:22] = lm[26:21:-1] + lm_[22:27] = lm[21:16:-1] + lm_[31:36] = lm[35:30:-1] + lm_[36:40] = lm[45:41:-1] + lm_[40:42] = lm[47:45:-1] + lm_[42:46] = lm[39:35:-1] + lm_[46:48] = lm[41:39:-1] + lm_[48:55] = lm[54:47:-1] + lm_[55:60] = lm[59:54:-1] + lm_[60:65] = lm[64:59:-1] + lm_[65:68] = lm[67:64:-1] + lm = lm_ + return lm diff --git a/src/face3d/data/flist_dataset.py b/src/face3d/data/flist_dataset.py new file mode 100644 index 0000000000000000000000000000000000000000..c0b6945c80aa756074a5d3c02b9443b15ddcfc57 --- /dev/null +++ b/src/face3d/data/flist_dataset.py @@ -0,0 +1,125 @@ +"""This script defines the custom dataset for Deep3DFaceRecon_pytorch +""" + +import os.path +from data.base_dataset import BaseDataset, get_transform, get_affine_mat, apply_img_affine, apply_lm_affine +from data.image_folder import make_dataset +from PIL import Image +import random +import util.util as util +import numpy as np +import json +import torch +from scipy.io import loadmat, savemat +import pickle +from util.preprocess import align_img, estimate_norm +from util.load_mats import load_lm3d + + +def default_flist_reader(flist): + """ + flist format: impath label\nimpath label\n ...(same to caffe's filelist) + """ + imlist = [] + with open(flist, 'r') as rf: + for line in rf.readlines(): + impath = line.strip() + imlist.append(impath) + + return imlist + +def jason_flist_reader(flist): + with open(flist, 'r') as fp: + info = json.load(fp) + return info + +def parse_label(label): + return torch.tensor(np.array(label).astype(np.float32)) + + +class FlistDataset(BaseDataset): + """ + It requires one directories to host training images '/path/to/data/train' + You can train the model with the dataset flag '--dataroot /path/to/data'. + """ + + def __init__(self, opt): + """Initialize this dataset class. + + Parameters: + opt (Option class) -- stores all the experiment flags; needs to be a subclass of BaseOptions + """ + BaseDataset.__init__(self, opt) + + self.lm3d_std = load_lm3d(opt.bfm_folder) + + msk_names = default_flist_reader(opt.flist) + self.msk_paths = [os.path.join(opt.data_root, i) for i in msk_names] + + self.size = len(self.msk_paths) + self.opt = opt + + self.name = 'train' if opt.isTrain else 'val' + if '_' in opt.flist: + self.name += '_' + opt.flist.split(os.sep)[-1].split('_')[0] + + + def __getitem__(self, index): + """Return a data point and its metadata information. + + Parameters: + index (int) -- a random integer for data indexing + + Returns a dictionary that contains A, B, A_paths and B_paths + img (tensor) -- an image in the input domain + msk (tensor) -- its corresponding attention mask + lm (tensor) -- its corresponding 3d landmarks + im_paths (str) -- image paths + aug_flag (bool) -- a flag used to tell whether its raw or augmented + """ + msk_path = self.msk_paths[index % self.size] # make sure index is within then range + img_path = msk_path.replace('mask/', '') + lm_path = '.'.join(msk_path.replace('mask', 'landmarks').split('.')[:-1]) + '.txt' + + raw_img = Image.open(img_path).convert('RGB') + raw_msk = Image.open(msk_path).convert('RGB') + raw_lm = np.loadtxt(lm_path).astype(np.float32) + + _, img, lm, msk = align_img(raw_img, raw_lm, self.lm3d_std, raw_msk) + + aug_flag = self.opt.use_aug and self.opt.isTrain + if aug_flag: + img, lm, msk = self._augmentation(img, lm, self.opt, msk) + + _, H = img.size + M = estimate_norm(lm, H) + transform = get_transform() + img_tensor = transform(img) + msk_tensor = transform(msk)[:1, ...] + lm_tensor = parse_label(lm) + M_tensor = parse_label(M) + + + return {'imgs': img_tensor, + 'lms': lm_tensor, + 'msks': msk_tensor, + 'M': M_tensor, + 'im_paths': img_path, + 'aug_flag': aug_flag, + 'dataset': self.name} + + def _augmentation(self, img, lm, opt, msk=None): + affine, affine_inv, flip = get_affine_mat(opt, img.size) + img = apply_img_affine(img, affine_inv) + lm = apply_lm_affine(lm, affine, flip, img.size) + if msk is not None: + msk = apply_img_affine(msk, affine_inv, method=Image.BILINEAR) + return img, lm, msk + + + + + def __len__(self): + """Return the total number of images in the dataset. + """ + return self.size diff --git a/src/face3d/data/image_folder.py b/src/face3d/data/image_folder.py new file mode 100644 index 0000000000000000000000000000000000000000..efadc2ecbe2fb4b53b78230aba25ec505eff0e55 --- /dev/null +++ b/src/face3d/data/image_folder.py @@ -0,0 +1,66 @@ +"""A modified image folder class + +We modify the official PyTorch image folder (https://github.com/pytorch/vision/blob/master/torchvision/datasets/folder.py) +so that this class can load images from both current directory and its subdirectories. +""" +import numpy as np +import torch.utils.data as data + +from PIL import Image +import os +import os.path + +IMG_EXTENSIONS = [ + '.jpg', '.JPG', '.jpeg', '.JPEG', + '.png', '.PNG', '.ppm', '.PPM', '.bmp', '.BMP', + '.tif', '.TIF', '.tiff', '.TIFF', +] + + +def is_image_file(filename): + return any(filename.endswith(extension) for extension in IMG_EXTENSIONS) + + +def make_dataset(dir, max_dataset_size=float("inf")): + images = [] + assert os.path.isdir(dir) or os.path.islink(dir), '%s is not a valid directory' % dir + + for root, _, fnames in sorted(os.walk(dir, followlinks=True)): + for fname in fnames: + if is_image_file(fname): + path = os.path.join(root, fname) + images.append(path) + return images[:min(max_dataset_size, len(images))] + + +def default_loader(path): + return Image.open(path).convert('RGB') + + +class ImageFolder(data.Dataset): + + def __init__(self, root, transform=None, return_paths=False, + loader=default_loader): + imgs = make_dataset(root) + if len(imgs) == 0: + raise(RuntimeError("Found 0 images in: " + root + "\n" + "Supported image extensions are: " + ",".join(IMG_EXTENSIONS))) + + self.root = root + self.imgs = imgs + self.transform = transform + self.return_paths = return_paths + self.loader = loader + + def __getitem__(self, index): + path = self.imgs[index] + img = self.loader(path) + if self.transform is not None: + img = self.transform(img) + if self.return_paths: + return img, path + else: + return img + + def __len__(self): + return len(self.imgs) diff --git a/src/face3d/data/template_dataset.py b/src/face3d/data/template_dataset.py new file mode 100644 index 0000000000000000000000000000000000000000..bfdf16be2a8a834b204c45d88c86857b37b9bd25 --- /dev/null +++ b/src/face3d/data/template_dataset.py @@ -0,0 +1,75 @@ +"""Dataset class template + +This module provides a template for users to implement custom datasets. +You can specify '--dataset_mode template' to use this dataset. +The class name should be consistent with both the filename and its dataset_mode option. +The filename should be _dataset.py +The class name should be Dataset.py +You need to implement the following functions: + -- :　Add dataset-specific options and rewrite default values for existing options. + -- <__init__>: Initialize this dataset class. + -- <__getitem__>: Return a data point and its metadata information. + -- <__len__>: Return the number of images. +""" +from data.base_dataset import BaseDataset, get_transform +# from data.image_folder import make_dataset +# from PIL import Image + + +class TemplateDataset(BaseDataset): + """A template dataset class for you to implement custom datasets.""" + @staticmethod + def modify_commandline_options(parser, is_train): + """Add new dataset-specific options, and rewrite default values for existing options. + + Parameters: + parser -- original option parser + is_train (bool) -- whether training phase or test phase. You can use this flag to add training-specific or test-specific options. + + Returns: + the modified parser. + """ + parser.add_argument('--new_dataset_option', type=float, default=1.0, help='new dataset option') + parser.set_defaults(max_dataset_size=10, new_dataset_option=2.0) # specify dataset-specific default values + return parser + + def __init__(self, opt): + """Initialize this dataset class. + + Parameters: + opt (Option class) -- stores all the experiment flags; needs to be a subclass of BaseOptions + + A few things can be done here. + - save the options (have been done in BaseDataset) + - get image paths and meta information of the dataset. + - define the image transformation. + """ + # save the option and dataset root + BaseDataset.__init__(self, opt) + # get the image paths of your dataset; + self.image_paths = [] # You can call sorted(make_dataset(self.root, opt.max_dataset_size)) to get all the image paths under the directory self.root + # define the default transform function. You can use ; You can also define your custom transform function + self.transform = get_transform(opt) + + def __getitem__(self, index): + """Return a data point and its metadata information. + + Parameters: + index -- a random integer for data indexing + + Returns: + a dictionary of data with their names. It usually contains the data itself and its metadata information. + + Step 1: get a random image path: e.g., path = self.image_paths[index] + Step 2: load your data from the disk: e.g., image = Image.open(path).convert('RGB'). + Step 3: convert your data to a PyTorch tensor. You can use helpder functions such as self.transform. e.g., data = self.transform(image) + Step 4: return a data point as a dictionary. + """ + path = 'temp' # needs to be a string + data_A = None # needs to be a tensor + data_B = None # needs to be a tensor + return {'data_A': data_A, 'data_B': data_B, 'path': path} + + def __len__(self): + """Return the total number of images.""" + return len(self.image_paths) diff --git a/src/face3d/extract_kp_videos.py b/src/face3d/extract_kp_videos.py new file mode 100644 index 0000000000000000000000000000000000000000..21616a3b4b5077ffdce99621395237b4edcff58c --- /dev/null +++ b/src/face3d/extract_kp_videos.py @@ -0,0 +1,108 @@ +import os +import cv2 +import time +import glob +import argparse +import face_alignment +import numpy as np +from PIL import Image +from tqdm import tqdm +from itertools import cycle + +from torch.multiprocessing import Pool, Process, set_start_method + +class KeypointExtractor(): + def __init__(self, device): + self.detector = face_alignment.FaceAlignment(face_alignment.LandmarksType._2D, + device=device) + + def extract_keypoint(self, images, name=None, info=True): + if isinstance(images, list): + keypoints = [] + if info: + i_range = tqdm(images,desc='landmark Det:') + else: + i_range = images + + for image in i_range: + current_kp = self.extract_keypoint(image) + if np.mean(current_kp) == -1 and keypoints: + keypoints.append(keypoints[-1]) + else: + keypoints.append(current_kp[None]) + + keypoints = np.concatenate(keypoints, 0) + np.savetxt(os.path.splitext(name)[0]+'.txt', keypoints.reshape(-1)) + return keypoints + else: + while True: + try: + keypoints = self.detector.get_landmarks_from_image(np.array(images))[0] + break + except RuntimeError as e: + if str(e).startswith('CUDA'): + print("Warning: out of memory, sleep for 1s") + time.sleep(1) + else: + print(e) + break + except TypeError: + print('No face detected in this image') + shape = [68, 2] + keypoints = -1. * np.ones(shape) + break + if name is not None: + np.savetxt(os.path.splitext(name)[0]+'.txt', keypoints.reshape(-1)) + return keypoints + +def read_video(filename): + frames = [] + cap = cv2.VideoCapture(filename) + while cap.isOpened(): + ret, frame = cap.read() + if ret: + frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) + frame = Image.fromarray(frame) + frames.append(frame) + else: + break + cap.release() + return frames + +def run(data): + filename, opt, device = data + os.environ['CUDA_VISIBLE_DEVICES'] = device + kp_extractor = KeypointExtractor() + images = read_video(filename) + name = filename.split('/')[-2:] + os.makedirs(os.path.join(opt.output_dir, name[-2]), exist_ok=True) + kp_extractor.extract_keypoint( + images, + name=os.path.join(opt.output_dir, name[-2], name[-1]) + ) + +if __name__ == '__main__': + set_start_method('spawn') + parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter) + parser.add_argument('--input_dir', type=str, help='the folder of the input files') + parser.add_argument('--output_dir', type=str, help='the folder of the output files') + parser.add_argument('--device_ids', type=str, default='0,1') + parser.add_argument('--workers', type=int, default=4) + + opt = parser.parse_args() + filenames = list() + VIDEO_EXTENSIONS_LOWERCASE = {'mp4'} + VIDEO_EXTENSIONS = VIDEO_EXTENSIONS_LOWERCASE.union({f.upper() for f in VIDEO_EXTENSIONS_LOWERCASE}) + extensions = VIDEO_EXTENSIONS + + for ext in extensions: + os.listdir(f'{opt.input_dir}') + print(f'{opt.input_dir}/*.{ext}') + filenames = sorted(glob.glob(f'{opt.input_dir}/*.{ext}')) + print('Total number of videos:', len(filenames)) + pool = Pool(opt.workers) + args_list = cycle([opt]) + device_ids = opt.device_ids.split(",") + device_ids = cycle(device_ids) + for data in tqdm(pool.imap_unordered(run, zip(filenames, args_list, device_ids))): + None diff --git a/src/face3d/extract_kp_videos_safe.py b/src/face3d/extract_kp_videos_safe.py new file mode 100644 index 0000000000000000000000000000000000000000..e6975723c067f37612a9345f141ae9524e204a13 --- /dev/null +++ b/src/face3d/extract_kp_videos_safe.py @@ -0,0 +1,151 @@ +import os +import cv2 +import time +import glob +import argparse +import numpy as np +from PIL import Image +import torch +from tqdm import tqdm +from itertools import cycle +from torch.multiprocessing import Pool, Process, set_start_method + +from facexlib.alignment import landmark_98_to_68 +from facexlib.detection import init_detection_model + +from facexlib.utils import load_file_from_url +from facexlib.alignment.awing_arch import FAN + +def init_alignment_model(model_name, half=False, device='cuda', model_rootpath=None): + if model_name == 'awing_fan': + model = FAN(num_modules=4, num_landmarks=98, device=device) + model_url = 'https://github.com/xinntao/facexlib/releases/download/v0.1.0/alignment_WFLW_4HG.pth' + else: + raise NotImplementedError(f'{model_name} is not implemented.') + + model_path = load_file_from_url( + url=model_url, model_dir='facexlib/weights', progress=True, file_name=None, save_dir=model_rootpath) + model.load_state_dict(torch.load(model_path, map_location=device)['state_dict'], strict=True) + model.eval() + model = model.to(device) + return model + + +class KeypointExtractor(): + def __init__(self, device='cuda'): + + ### gfpgan/weights + try: + import webui # in webui + root_path = 'extensions/SadTalker/gfpgan/weights' + + except: + root_path = 'gfpgan/weights' + root_path = 'gfpgan/weights' + self.detector = init_alignment_model('awing_fan',device=device, model_rootpath=root_path) + self.det_net = init_detection_model('retinaface_resnet50', half=False,device=device, model_rootpath=root_path) + + def extract_keypoint(self, images, name=None, info=True): + if isinstance(images, list): + keypoints = [] + if info: + i_range = tqdm(images,desc='landmark Det:') + else: + i_range = images + + for image in i_range: + current_kp = self.extract_keypoint(image) + # current_kp = self.detector.get_landmarks(np.array(image)) + if np.mean(current_kp) == -1 and keypoints: + keypoints.append(keypoints[-1]) + else: + keypoints.append(current_kp[None]) + + keypoints = np.concatenate(keypoints, 0) + np.savetxt(os.path.splitext(name)[0]+'.txt', keypoints.reshape(-1)) + return keypoints + else: + while True: + try: + with torch.no_grad(): + # face detection -> face alignment. + img = np.array(images) + bboxes = self.det_net.detect_faces(images, 0.97) + + bboxes = bboxes[0] + img = img[int(bboxes[1]):int(bboxes[3]), int(bboxes[0]):int(bboxes[2]), :] + + keypoints = landmark_98_to_68(self.detector.get_landmarks(img)) # [0] + + #### keypoints to the original location + keypoints[:,0] += int(bboxes[0]) + keypoints[:,1] += int(bboxes[1]) + + break + except RuntimeError as e: + if str(e).startswith('CUDA'): + print("Warning: out of memory, sleep for 1s") + time.sleep(1) + else: + print(e) + break + except TypeError: + print('No face detected in this image') + shape = [68, 2] + keypoints = -1. * np.ones(shape) + break + if name is not None: + np.savetxt(os.path.splitext(name)[0]+'.txt', keypoints.reshape(-1)) + return keypoints + +def read_video(filename): + frames = [] + cap = cv2.VideoCapture(filename) + while cap.isOpened(): + ret, frame = cap.read() + if ret: + frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) + frame = Image.fromarray(frame) + frames.append(frame) + else: + break + cap.release() + return frames + +def run(data): + filename, opt, device = data + os.environ['CUDA_VISIBLE_DEVICES'] = device + kp_extractor = KeypointExtractor() + images = read_video(filename) + name = filename.split('/')[-2:] + os.makedirs(os.path.join(opt.output_dir, name[-2]), exist_ok=True) + kp_extractor.extract_keypoint( + images, + name=os.path.join(opt.output_dir, name[-2], name[-1]) + ) + +if __name__ == '__main__': + set_start_method('spawn') + parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter) + parser.add_argument('--input_dir', type=str, help='the folder of the input files') + parser.add_argument('--output_dir', type=str, help='the folder of the output files') + parser.add_argument('--device_ids', type=str, default='0,1') + parser.add_argument('--workers', type=int, default=4) + + opt = parser.parse_args() + filenames = list() + VIDEO_EXTENSIONS_LOWERCASE = {'mp4'} + VIDEO_EXTENSIONS = VIDEO_EXTENSIONS_LOWERCASE.union({f.upper() for f in VIDEO_EXTENSIONS_LOWERCASE}) + extensions = VIDEO_EXTENSIONS + + for ext in extensions: + os.listdir(f'{opt.input_dir}') + print(f'{opt.input_dir}/*.{ext}') + filenames = sorted(glob.glob(f'{opt.input_dir}/*.{ext}')) + print('Total number of videos:', len(filenames)) + pool = Pool(opt.workers) + args_list = cycle([opt]) + device_ids = opt.device_ids.split(",") + device_ids = cycle(device_ids) + for data in tqdm(pool.imap_unordered(run, zip(filenames, args_list, device_ids))): + None diff --git a/src/face3d/models/__init__.py b/src/face3d/models/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..5a7986c7ad2ec48f404adf81fea5aa06aaf1eeb4 --- /dev/null +++ b/src/face3d/models/__init__.py @@ -0,0 +1,67 @@ +"""This package contains modules related to objective functions, optimizations, and network architectures. + +To add a custom model class called 'dummy', you need to add a file called 'dummy_model.py' and define a subclass DummyModel inherited from BaseModel. +You need to implement the following five functions: + -- <__init__>: initialize the class; first call BaseModel.__init__(self, opt). + -- : unpack data from dataset and apply preprocessing. + -- : produce intermediate results. + -- : calculate loss, gradients, and update network weights. + -- : (optionally) add model-specific options and set default options. + +In the function <__init__>, you need to define four lists: + -- self.loss_names (str list): specify the training losses that you want to plot and save. + -- self.model_names (str list): define networks used in our training. + -- self.visual_names (str list): specify the images that you want to display and save. + -- self.optimizers (optimizer list): define and initialize optimizers. You can define one optimizer for each network. If two networks are updated at the same time, you can use itertools.chain to group them. See cycle_gan_model.py for an usage. + +Now you can use the model class by specifying flag '--model dummy'. +See our template model class 'template_model.py' for more details. +""" + +import importlib +from src.face3d.models.base_model import BaseModel + + +def find_model_using_name(model_name): + """Import the module "models/[model_name]_model.py". + + In the file, the class called DatasetNameModel() will + be instantiated. It has to be a subclass of BaseModel, + and it is case-insensitive. + """ + model_filename = "face3d.models." + model_name + "_model" + modellib = importlib.import_module(model_filename) + model = None + target_model_name = model_name.replace('_', '') + 'model' + for name, cls in modellib.__dict__.items(): + if name.lower() == target_model_name.lower() \ + and issubclass(cls, BaseModel): + model = cls + + if model is None: + print("In %s.py, there should be a subclass of BaseModel with class name that matches %s in lowercase." % (model_filename, target_model_name)) + exit(0) + + return model + + +def get_option_setter(model_name): + """Return the static method of the model class.""" + model_class = find_model_using_name(model_name) + return model_class.modify_commandline_options + + +def create_model(opt): + """Create a model given the option. + + This function warps the class CustomDatasetDataLoader. + This is the main interface between this package and 'train.py'/'test.py' + + Example: + >>> from models import create_model + >>> model = create_model(opt) + """ + model = find_model_using_name(opt.model) + instance = model(opt) + print("model [%s] was created" % type(instance).__name__) + return instance diff --git a/src/face3d/models/arcface_torch/README.md b/src/face3d/models/arcface_torch/README.md new file mode 100644 index 0000000000000000000000000000000000000000..2ee63a861229b68873561fa39bfa7c9a8b53b947 --- /dev/null +++ b/src/face3d/models/arcface_torch/README.md @@ -0,0 +1,164 @@ +# Distributed Arcface Training in Pytorch + +This is a deep learning library that makes face recognition efficient, and effective, which can train tens of millions +identity on a single server. + +## Requirements + +- Install [pytorch](http://pytorch.org) (torch>=1.6.0), our doc for [install.md](docs/install.md). +- `pip install -r requirements.txt`. +- Download the dataset + from [https://github.com/deepinsight/insightface/tree/master/recognition/_datasets_](https://github.com/deepinsight/insightface/tree/master/recognition/_datasets_) + . + +## How to Training + +To train a model, run `train.py` with the path to the configs: + +### 1. Single node, 8 GPUs: + +```shell +python -m torch.distributed.launch --nproc_per_node=8 --nnodes=1 --node_rank=0 --master_addr="127.0.0.1" --master_port=1234 train.py configs/ms1mv3_r50 +``` + +### 2. Multiple nodes, each node 8 GPUs: + +Node 0: + +```shell +python -m torch.distributed.launch --nproc_per_node=8 --nnodes=2 --node_rank=0 --master_addr="ip1" --master_port=1234 train.py train.py configs/ms1mv3_r50 +``` + +Node 1: + +```shell +python -m torch.distributed.launch --nproc_per_node=8 --nnodes=2 --node_rank=1 --master_addr="ip1" --master_port=1234 train.py train.py configs/ms1mv3_r50 +``` + +### 3.Training resnet2060 with 8 GPUs: + +```shell +python -m torch.distributed.launch --nproc_per_node=8 --nnodes=1 --node_rank=0 --master_addr="127.0.0.1" --master_port=1234 train.py configs/ms1mv3_r2060.py +``` + +## Model Zoo + +- The models are available for non-commercial research purposes only. +- All models can be found in here. +- [Baidu Yun Pan](https://pan.baidu.com/s/1CL-l4zWqsI1oDuEEYVhj-g): e8pw +- [onedrive](https://1drv.ms/u/s!AswpsDO2toNKq0lWY69vN58GR6mw?e=p9Ov5d) + +### Performance on [**ICCV2021-MFR**](http://iccv21-mfr.com/) + +ICCV2021-MFR testset consists of non-celebrities so we can ensure that it has very few overlap with public available face +recognition training set, such as MS1M and CASIA as they mostly collected from online celebrities. +As the result, we can evaluate the FAIR performance for different algorithms. + +For **ICCV2021-MFR-ALL** set, TAR is measured on all-to-all 1:1 protocal, with FAR less than 0.000001(e-6). The +globalised multi-racial testset contains 242,143 identities and 1,624,305 images. + +For **ICCV2021-MFR-MASK** set, TAR is measured on mask-to-nonmask 1:1 protocal, with FAR less than 0.0001(e-4). +Mask testset contains 6,964 identities, 6,964 masked images and 13,928 non-masked images. +There are totally 13,928 positive pairs and 96,983,824 negative pairs. + +| Datasets | backbone | Training throughout | Size / MB | **ICCV2021-MFR-MASK** | **ICCV2021-MFR-ALL** | +| :---: | :--- | :--- | :--- |:--- |:--- | +| MS1MV3 | r18 | - | 91 | **47.85** | **68.33** | +| Glint360k | r18 | 8536 | 91 | **53.32** | **72.07** | +| MS1MV3 | r34 | - | 130 | **58.72** | **77.36** | +| Glint360k | r34 | 6344 | 130 | **65.10** | **83.02** | +| MS1MV3 | r50 | 5500 | 166 | **63.85** | **80.53** | +| Glint360k | r50 | 5136 | 166 | **70.23** | **87.08** | +| MS1MV3 | r100 | - | 248 | **69.09** | **84.31** | +| Glint360k | r100 | 3332 | 248 | **75.57** | **90.66** | +| MS1MV3 | mobilefacenet | 12185 | 7.8 | **41.52** | **65.26** | +| Glint360k | mobilefacenet | 11197 | 7.8 | **44.52** | **66.48** | + +### Performance on IJB-C and Verification Datasets + +| Datasets | backbone | IJBC(1e-05) | IJBC(1e-04) | agedb30 | cfp_fp | lfw | log | +| :---: | :--- | :--- | :--- | :--- |:--- |:--- |:--- | +| MS1MV3 | r18 | 92.07 | 94.66 | 97.77 | 97.73 | 99.77 |[log](https://raw.githubusercontent.com/anxiangsir/insightface_arcface_log/master/ms1mv3_arcface_r18_fp16/training.log)| +| MS1MV3 | r34 | 94.10 | 95.90 | 98.10 | 98.67 | 99.80 |[log](https://raw.githubusercontent.com/anxiangsir/insightface_arcface_log/master/ms1mv3_arcface_r34_fp16/training.log)| +| MS1MV3 | r50 | 94.79 | 96.46 | 98.35 | 98.96 | 99.83 |[log](https://raw.githubusercontent.com/anxiangsir/insightface_arcface_log/master/ms1mv3_arcface_r50_fp16/training.log)| +| MS1MV3 | r100 | 95.31 | 96.81 | 98.48 | 99.06 | 99.85 |[log](https://raw.githubusercontent.com/anxiangsir/insightface_arcface_log/master/ms1mv3_arcface_r100_fp16/training.log)| +| MS1MV3 | **r2060**| 95.34 | 97.11 | 98.67 | 99.24 | 99.87 |[log](https://raw.githubusercontent.com/anxiangsir/insightface_arcface_log/master/ms1mv3_arcface_r2060_fp16/training.log)| +| Glint360k |r18-0.1 | 93.16 | 95.33 | 97.72 | 97.73 | 99.77 |[log](https://raw.githubusercontent.com/anxiangsir/insightface_arcface_log/master/glint360k_cosface_r18_fp16_0.1/training.log)| +| Glint360k |r34-0.1 | 95.16 | 96.56 | 98.33 | 98.78 | 99.82 |[log](https://raw.githubusercontent.com/anxiangsir/insightface_arcface_log/master/glint360k_cosface_r34_fp16_0.1/training.log)| +| Glint360k |r50-0.1 | 95.61 | 96.97 | 98.38 | 99.20 | 99.83 |[log](https://raw.githubusercontent.com/anxiangsir/insightface_arcface_log/master/glint360k_cosface_r50_fp16_0.1/training.log)| +| Glint360k |r100-0.1 | 95.88 | 97.32 | 98.48 | 99.29 | 99.82 |[log](https://raw.githubusercontent.com/anxiangsir/insightface_arcface_log/master/glint360k_cosface_r100_fp16_0.1/training.log)| + +[comment]: <> (More details see [model.md](docs/modelzoo.md) in docs.) + + +## [Speed Benchmark](docs/speed_benchmark.md) + +**Arcface Torch** can train large-scale face recognition training set efficiently and quickly. When the number of +classes in training sets is greater than 300K and the training is sufficient, partial fc sampling strategy will get same +accuracy with several times faster training performance and smaller GPU memory. +Partial FC is a sparse variant of the model parallel architecture for large sacle face recognition. Partial FC use a +sparse softmax, where each batch dynamicly sample a subset of class centers for training. In each iteration, only a +sparse part of the parameters will be updated, which can reduce a lot of GPU memory and calculations. With Partial FC, +we can scale trainset of 29 millions identities, the largest to date. Partial FC also supports multi-machine distributed +training and mixed precision training. + +![Image text](https://github.com/anxiangsir/insightface_arcface_log/blob/master/partial_fc_v2.png) + +More details see +[speed_benchmark.md](docs/speed_benchmark.md) in docs. + +### 1. Training speed of different parallel methods (samples / second), Tesla V100 32GB * 8. (Larger is better) + +`-` means training failed because of gpu memory limitations. + +| Number of Identities in Dataset | Data Parallel | Model Parallel | Partial FC 0.1 | +| :--- | :--- | :--- | :--- | +|125000 | 4681 | 4824 | 5004 | +|1400000 | **1672** | 3043 | 4738 | +|5500000 | **-** | **1389** | 3975 | +|8000000 | **-** | **-** | 3565 | +|16000000 | **-** | **-** | 2679 | +|29000000 | **-** | **-** | **1855** | + +### 2. GPU memory cost of different parallel methods (MB per GPU), Tesla V100 32GB * 8. (Smaller is better) + +| Number of Identities in Dataset | Data Parallel | Model Parallel | Partial FC 0.1 | +| :--- | :--- | :--- | :--- | +|125000 | 7358 | 5306 | 4868 | +|1400000 | 32252 | 11178 | 6056 | +|5500000 | **-** | 32188 | 9854 | +|8000000 | **-** | **-** | 12310 | +|16000000 | **-** | **-** | 19950 | +|29000000 | **-** | **-** | 32324 | + +## Evaluation ICCV2021-MFR and IJB-C + +More details see [eval.md](docs/eval.md) in docs. + +## Test + +We tested many versions of PyTorch. Please create an issue if you are having trouble. + +- [x] torch 1.6.0 +- [x] torch 1.7.1 +- [x] torch 1.8.0 +- [x] torch 1.9.0 + +## Citation + +``` +@inproceedings{deng2019arcface, + title={Arcface: Additive angular margin loss for deep face recognition}, + author={Deng, Jiankang and Guo, Jia and Xue, Niannan and Zafeiriou, Stefanos}, + booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition}, + pages={4690--4699}, + year={2019} +} +@inproceedings{an2020partical_fc, + title={Partial FC: Training 10 Million Identities on a Single Machine}, + author={An, Xiang and Zhu, Xuhan and Xiao, Yang and Wu, Lan and Zhang, Ming and Gao, Yuan and Qin, Bin and + Zhang, Debing and Fu Ying}, + booktitle={Arxiv 2010.05222}, + year={2020} +} +``` diff --git a/src/face3d/models/arcface_torch/backbones/__init__.py b/src/face3d/models/arcface_torch/backbones/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..55bd4c5d1889a1a998b52eb56793bbc1eef1b691 --- /dev/null +++ b/src/face3d/models/arcface_torch/backbones/__init__.py @@ -0,0 +1,25 @@ +from .iresnet import iresnet18, iresnet34, iresnet50, iresnet100, iresnet200 +from .mobilefacenet import get_mbf + + +def get_model(name, **kwargs): + # resnet + if name == "r18": + return iresnet18(False, **kwargs) + elif name == "r34": + return iresnet34(False, **kwargs) + elif name == "r50": + return iresnet50(False, **kwargs) + elif name == "r100": + return iresnet100(False, **kwargs) + elif name == "r200": + return iresnet200(False, **kwargs) + elif name == "r2060": + from .iresnet2060 import iresnet2060 + return iresnet2060(False, **kwargs) + elif name == "mbf": + fp16 = kwargs.get("fp16", False) + num_features = kwargs.get("num_features", 512) + return get_mbf(fp16=fp16, num_features=num_features) + else: + raise ValueError() \ No newline at end of file diff --git a/src/face3d/models/arcface_torch/backbones/iresnet.py b/src/face3d/models/arcface_torch/backbones/iresnet.py new file mode 100644 index 0000000000000000000000000000000000000000..c6d3b9c240c24687d432197f976ee01fbf423216 --- /dev/null +++ b/src/face3d/models/arcface_torch/backbones/iresnet.py @@ -0,0 +1,187 @@ +import torch +from torch import nn + +__all__ = ['iresnet18', 'iresnet34', 'iresnet50', 'iresnet100', 'iresnet200'] + + +def conv3x3(in_planes, out_planes, stride=1, groups=1, dilation=1): + """3x3 convolution with padding""" + return nn.Conv2d(in_planes, + out_planes, + kernel_size=3, + stride=stride, + padding=dilation, + groups=groups, + bias=False, + dilation=dilation) + + +def conv1x1(in_planes, out_planes, stride=1): + """1x1 convolution""" + return nn.Conv2d(in_planes, + out_planes, + kernel_size=1, + stride=stride, + bias=False) + + +class IBasicBlock(nn.Module): + expansion = 1 + def __init__(self, inplanes, planes, stride=1, downsample=None, + groups=1, base_width=64, dilation=1): + super(IBasicBlock, self).__init__() + if groups != 1 or base_width != 64: + raise ValueError('BasicBlock only supports groups=1 and base_width=64') + if dilation > 1: + raise NotImplementedError("Dilation > 1 not supported in BasicBlock") + self.bn1 = nn.BatchNorm2d(inplanes, eps=1e-05,) + self.conv1 = conv3x3(inplanes, planes) + self.bn2 = nn.BatchNorm2d(planes, eps=1e-05,) + self.prelu = nn.PReLU(planes) + self.conv2 = conv3x3(planes, planes, stride) + self.bn3 = nn.BatchNorm2d(planes, eps=1e-05,) + self.downsample = downsample + self.stride = stride + + def forward(self, x): + identity = x + out = self.bn1(x) + out = self.conv1(out) + out = self.bn2(out) + out = self.prelu(out) + out = self.conv2(out) + out = self.bn3(out) + if self.downsample is not None: + identity = self.downsample(x) + out += identity + return out + + +class IResNet(nn.Module): + fc_scale = 7 * 7 + def __init__(self, + block, layers, dropout=0, num_features=512, zero_init_residual=False, + groups=1, width_per_group=64, replace_stride_with_dilation=None, fp16=False): + super(IResNet, self).__init__() + self.fp16 = fp16 + self.inplanes = 64 + self.dilation = 1 + if replace_stride_with_dilation is None: + replace_stride_with_dilation = [False, False, False] + if len(replace_stride_with_dilation) != 3: + raise ValueError("replace_stride_with_dilation should be None " + "or a 3-element tuple, got {}".format(replace_stride_with_dilation)) + self.groups = groups + self.base_width = width_per_group + self.conv1 = nn.Conv2d(3, self.inplanes, kernel_size=3, stride=1, padding=1, bias=False) + self.bn1 = nn.BatchNorm2d(self.inplanes, eps=1e-05) + self.prelu = nn.PReLU(self.inplanes) + self.layer1 = self._make_layer(block, 64, layers[0], stride=2) + self.layer2 = self._make_layer(block, + 128, + layers[1], + stride=2, + dilate=replace_stride_with_dilation[0]) + self.layer3 = self._make_layer(block, + 256, + layers[2], + stride=2, + dilate=replace_stride_with_dilation[1]) + self.layer4 = self._make_layer(block, + 512, + layers[3], + stride=2, + dilate=replace_stride_with_dilation[2]) + self.bn2 = nn.BatchNorm2d(512 * block.expansion, eps=1e-05,) + self.dropout = nn.Dropout(p=dropout, inplace=True) + self.fc = nn.Linear(512 * block.expansion * self.fc_scale, num_features) + self.features = nn.BatchNorm1d(num_features, eps=1e-05) + nn.init.constant_(self.features.weight, 1.0) + self.features.weight.requires_grad = False + + for m in self.modules(): + if isinstance(m, nn.Conv2d): + nn.init.normal_(m.weight, 0, 0.1) + elif isinstance(m, (nn.BatchNorm2d, nn.GroupNorm)): + nn.init.constant_(m.weight, 1) + nn.init.constant_(m.bias, 0) + + if zero_init_residual: + for m in self.modules(): + if isinstance(m, IBasicBlock): + nn.init.constant_(m.bn2.weight, 0) + + def _make_layer(self, block, planes, blocks, stride=1, dilate=False): + downsample = None + previous_dilation = self.dilation + if dilate: + self.dilation *= stride + stride = 1 + if stride != 1 or self.inplanes != planes * block.expansion: + downsample = nn.Sequential( + conv1x1(self.inplanes, planes * block.expansion, stride), + nn.BatchNorm2d(planes * block.expansion, eps=1e-05, ), + ) + layers = [] + layers.append( + block(self.inplanes, planes, stride, downsample, self.groups, + self.base_width, previous_dilation)) + self.inplanes = planes * block.expansion + for _ in range(1, blocks): + layers.append( + block(self.inplanes, + planes, + groups=self.groups, + base_width=self.base_width, + dilation=self.dilation)) + + return nn.Sequential(*layers) + + def forward(self, x): + with torch.cuda.amp.autocast(self.fp16): + x = self.conv1(x) + x = self.bn1(x) + x = self.prelu(x) + x = self.layer1(x) + x = self.layer2(x) + x = self.layer3(x) + x = self.layer4(x) + x = self.bn2(x) + x = torch.flatten(x, 1) + x = self.dropout(x) + x = self.fc(x.float() if self.fp16 else x) + x = self.features(x) + return x + + +def _iresnet(arch, block, layers, pretrained, progress, **kwargs): + model = IResNet(block, layers, **kwargs) + if pretrained: + raise ValueError() + return model + + +def iresnet18(pretrained=False, progress=True, **kwargs): + return _iresnet('iresnet18', IBasicBlock, [2, 2, 2, 2], pretrained, + progress, **kwargs) + + +def iresnet34(pretrained=False, progress=True, **kwargs): + return _iresnet('iresnet34', IBasicBlock, [3, 4, 6, 3], pretrained, + progress, **kwargs) + + +def iresnet50(pretrained=False, progress=True, **kwargs): + return _iresnet('iresnet50', IBasicBlock, [3, 4, 14, 3], pretrained, + progress, **kwargs) + + +def iresnet100(pretrained=False, progress=True, **kwargs): + return _iresnet('iresnet100', IBasicBlock, [3, 13, 30, 3], pretrained, + progress, **kwargs) + + +def iresnet200(pretrained=False, progress=True, **kwargs): + return _iresnet('iresnet200', IBasicBlock, [6, 26, 60, 6], pretrained, + progress, **kwargs) + diff --git a/src/face3d/models/arcface_torch/backbones/iresnet2060.py b/src/face3d/models/arcface_torch/backbones/iresnet2060.py new file mode 100644 index 0000000000000000000000000000000000000000..21d1122144d207637d2444cba1f68fe630c89f31 --- /dev/null +++ b/src/face3d/models/arcface_torch/backbones/iresnet2060.py @@ -0,0 +1,176 @@ +import torch +from torch import nn + +assert torch.__version__ >= "1.8.1" +from torch.utils.checkpoint import checkpoint_sequential + +__all__ = ['iresnet2060'] + + +def conv3x3(in_planes, out_planes, stride=1, groups=1, dilation=1): + """3x3 convolution with padding""" + return nn.Conv2d(in_planes, + out_planes, + kernel_size=3, + stride=stride, + padding=dilation, + groups=groups, + bias=False, + dilation=dilation) + + +def conv1x1(in_planes, out_planes, stride=1): + """1x1 convolution""" + return nn.Conv2d(in_planes, + out_planes, + kernel_size=1, + stride=stride, + bias=False) + + +class IBasicBlock(nn.Module): + expansion = 1 + + def __init__(self, inplanes, planes, stride=1, downsample=None, + groups=1, base_width=64, dilation=1): + super(IBasicBlock, self).__init__() + if groups != 1 or base_width != 64: + raise ValueError('BasicBlock only supports groups=1 and base_width=64') + if dilation > 1: + raise NotImplementedError("Dilation > 1 not supported in BasicBlock") + self.bn1 = nn.BatchNorm2d(inplanes, eps=1e-05, ) + self.conv1 = conv3x3(inplanes, planes) + self.bn2 = nn.BatchNorm2d(planes, eps=1e-05, ) + self.prelu = nn.PReLU(planes) + self.conv2 = conv3x3(planes, planes, stride) + self.bn3 = nn.BatchNorm2d(planes, eps=1e-05, ) + self.downsample = downsample + self.stride = stride + + def forward(self, x): + identity = x + out = self.bn1(x) + out = self.conv1(out) + out = self.bn2(out) + out = self.prelu(out) + out = self.conv2(out) + out = self.bn3(out) + if self.downsample is not None: + identity = self.downsample(x) + out += identity + return out + + +class IResNet(nn.Module): + fc_scale = 7 * 7 + + def __init__(self, + block, layers, dropout=0, num_features=512, zero_init_residual=False, + groups=1, width_per_group=64, replace_stride_with_dilation=None, fp16=False): + super(IResNet, self).__init__() + self.fp16 = fp16 + self.inplanes = 64 + self.dilation = 1 + if replace_stride_with_dilation is None: + replace_stride_with_dilation = [False, False, False] + if len(replace_stride_with_dilation) != 3: + raise ValueError("replace_stride_with_dilation should be None " + "or a 3-element tuple, got {}".format(replace_stride_with_dilation)) + self.groups = groups + self.base_width = width_per_group + self.conv1 = nn.Conv2d(3, self.inplanes, kernel_size=3, stride=1, padding=1, bias=False) + self.bn1 = nn.BatchNorm2d(self.inplanes, eps=1e-05) + self.prelu = nn.PReLU(self.inplanes) + self.layer1 = self._make_layer(block, 64, layers[0], stride=2) + self.layer2 = self._make_layer(block, + 128, + layers[1], + stride=2, + dilate=replace_stride_with_dilation[0]) + self.layer3 = self._make_layer(block, + 256, + layers[2], + stride=2, + dilate=replace_stride_with_dilation[1]) + self.layer4 = self._make_layer(block, + 512, + layers[3], + stride=2, + dilate=replace_stride_with_dilation[2]) + self.bn2 = nn.BatchNorm2d(512 * block.expansion, eps=1e-05, ) + self.dropout = nn.Dropout(p=dropout, inplace=True) + self.fc = nn.Linear(512 * block.expansion * self.fc_scale, num_features) + self.features = nn.BatchNorm1d(num_features, eps=1e-05) + nn.init.constant_(self.features.weight, 1.0) + self.features.weight.requires_grad = False + + for m in self.modules(): + if isinstance(m, nn.Conv2d): + nn.init.normal_(m.weight, 0, 0.1) + elif isinstance(m, (nn.BatchNorm2d, nn.GroupNorm)): + nn.init.constant_(m.weight, 1) + nn.init.constant_(m.bias, 0) + + if zero_init_residual: + for m in self.modules(): + if isinstance(m, IBasicBlock): + nn.init.constant_(m.bn2.weight, 0) + + def _make_layer(self, block, planes, blocks, stride=1, dilate=False): + downsample = None + previous_dilation = self.dilation + if dilate: + self.dilation *= stride + stride = 1 + if stride != 1 or self.inplanes != planes * block.expansion: + downsample = nn.Sequential( + conv1x1(self.inplanes, planes * block.expansion, stride), + nn.BatchNorm2d(planes * block.expansion, eps=1e-05, ), + ) + layers = [] + layers.append( + block(self.inplanes, planes, stride, downsample, self.groups, + self.base_width, previous_dilation)) + self.inplanes = planes * block.expansion + for _ in range(1, blocks): + layers.append( + block(self.inplanes, + planes, + groups=self.groups, + base_width=self.base_width, + dilation=self.dilation)) + + return nn.Sequential(*layers) + + def checkpoint(self, func, num_seg, x): + if self.training: + return checkpoint_sequential(func, num_seg, x) + else: + return func(x) + + def forward(self, x): + with torch.cuda.amp.autocast(self.fp16): + x = self.conv1(x) + x = self.bn1(x) + x = self.prelu(x) + x = self.layer1(x) + x = self.checkpoint(self.layer2, 20, x) + x = self.checkpoint(self.layer3, 100, x) + x = self.layer4(x) + x = self.bn2(x) + x = torch.flatten(x, 1) + x = self.dropout(x) + x = self.fc(x.float() if self.fp16 else x) + x = self.features(x) + return x + + +def _iresnet(arch, block, layers, pretrained, progress, **kwargs): + model = IResNet(block, layers, **kwargs) + if pretrained: + raise ValueError() + return model + + +def iresnet2060(pretrained=False, progress=True, **kwargs): + return _iresnet('iresnet2060', IBasicBlock, [3, 128, 1024 - 128, 3], pretrained, progress, **kwargs) diff --git a/src/face3d/models/arcface_torch/backbones/mobilefacenet.py b/src/face3d/models/arcface_torch/backbones/mobilefacenet.py new file mode 100644 index 0000000000000000000000000000000000000000..87731491d76f9ff61cc70e57bb3f18c54fae308c --- /dev/null +++ b/src/face3d/models/arcface_torch/backbones/mobilefacenet.py @@ -0,0 +1,130 @@ +''' +Adapted from https://github.com/cavalleria/cavaface.pytorch/blob/master/backbone/mobilefacenet.py +Original author cavalleria +''' + +import torch.nn as nn +from torch.nn import Linear, Conv2d, BatchNorm1d, BatchNorm2d, PReLU, Sequential, Module +import torch + + +class Flatten(Module): + def forward(self, x): + return x.view(x.size(0), -1) + + +class ConvBlock(Module): + def __init__(self, in_c, out_c, kernel=(1, 1), stride=(1, 1), padding=(0, 0), groups=1): + super(ConvBlock, self).__init__() + self.layers = nn.Sequential( + Conv2d(in_c, out_c, kernel, groups=groups, stride=stride, padding=padding, bias=False), + BatchNorm2d(num_features=out_c), + PReLU(num_parameters=out_c) + ) + + def forward(self, x): + return self.layers(x) + + +class LinearBlock(Module): + def __init__(self, in_c, out_c, kernel=(1, 1), stride=(1, 1), padding=(0, 0), groups=1): + super(LinearBlock, self).__init__() + self.layers = nn.Sequential( + Conv2d(in_c, out_c, kernel, stride, padding, groups=groups, bias=False), + BatchNorm2d(num_features=out_c) + ) + + def forward(self, x): + return self.layers(x) + + +class DepthWise(Module): + def __init__(self, in_c, out_c, residual=False, kernel=(3, 3), stride=(2, 2), padding=(1, 1), groups=1): + super(DepthWise, self).__init__() + self.residual = residual + self.layers = nn.Sequential( + ConvBlock(in_c, out_c=groups, kernel=(1, 1), padding=(0, 0), stride=(1, 1)), + ConvBlock(groups, groups, groups=groups, kernel=kernel, padding=padding, stride=stride), + LinearBlock(groups, out_c, kernel=(1, 1), padding=(0, 0), stride=(1, 1)) + ) + + def forward(self, x): + short_cut = None + if self.residual: + short_cut = x + x = self.layers(x) + if self.residual: + output = short_cut + x + else: + output = x + return output + + +class Residual(Module): + def __init__(self, c, num_block, groups, kernel=(3, 3), stride=(1, 1), padding=(1, 1)): + super(Residual, self).__init__() + modules = [] + for _ in range(num_block): + modules.append(DepthWise(c, c, True, kernel, stride, padding, groups)) + self.layers = Sequential(*modules) + + def forward(self, x): + return self.layers(x) + + +class GDC(Module): + def __init__(self, embedding_size): + super(GDC, self).__init__() + self.layers = nn.Sequential( + LinearBlock(512, 512, groups=512, kernel=(7, 7), stride=(1, 1), padding=(0, 0)), + Flatten(), + Linear(512, embedding_size, bias=False), + BatchNorm1d(embedding_size)) + + def forward(self, x): + return self.layers(x) + + +class MobileFaceNet(Module): + def __init__(self, fp16=False, num_features=512): + super(MobileFaceNet, self).__init__() + scale = 2 + self.fp16 = fp16 + self.layers = nn.Sequential( + ConvBlock(3, 64 * scale, kernel=(3, 3), stride=(2, 2), padding=(1, 1)), + ConvBlock(64 * scale, 64 * scale, kernel=(3, 3), stride=(1, 1), padding=(1, 1), groups=64), + DepthWise(64 * scale, 64 * scale, kernel=(3, 3), stride=(2, 2), padding=(1, 1), groups=128), + Residual(64 * scale, num_block=4, groups=128, kernel=(3, 3), stride=(1, 1), padding=(1, 1)), + DepthWise(64 * scale, 128 * scale, kernel=(3, 3), stride=(2, 2), padding=(1, 1), groups=256), + Residual(128 * scale, num_block=6, groups=256, kernel=(3, 3), stride=(1, 1), padding=(1, 1)), + DepthWise(128 * scale, 128 * scale, kernel=(3, 3), stride=(2, 2), padding=(1, 1), groups=512), + Residual(128 * scale, num_block=2, groups=256, kernel=(3, 3), stride=(1, 1), padding=(1, 1)), + ) + self.conv_sep = ConvBlock(128 * scale, 512, kernel=(1, 1), stride=(1, 1), padding=(0, 0)) + self.features = GDC(num_features) + self._initialize_weights() + + def _initialize_weights(self): + for m in self.modules(): + if isinstance(m, nn.Conv2d): + nn.init.kaiming_normal_(m.weight, mode='fan_out', nonlinearity='relu') + if m.bias is not None: + m.bias.data.zero_() + elif isinstance(m, nn.BatchNorm2d): + m.weight.data.fill_(1) + m.bias.data.zero_() + elif isinstance(m, nn.Linear): + nn.init.kaiming_normal_(m.weight, mode='fan_out', nonlinearity='relu') + if m.bias is not None: + m.bias.data.zero_() + + def forward(self, x): + with torch.cuda.amp.autocast(self.fp16): + x = self.layers(x) + x = self.conv_sep(x.float() if self.fp16 else x) + x = self.features(x) + return x + + +def get_mbf(fp16, num_features): + return MobileFaceNet(fp16, num_features) \ No newline at end of file diff --git a/src/face3d/models/arcface_torch/configs/3millions.py b/src/face3d/models/arcface_torch/configs/3millions.py new file mode 100644 index 0000000000000000000000000000000000000000..c9edc2f1414e35f93abfd3dfe11a61f1f406580e --- /dev/null +++ b/src/face3d/models/arcface_torch/configs/3millions.py @@ -0,0 +1,23 @@ +from easydict import EasyDict as edict + +# configs for test speed + +config = edict() +config.loss = "arcface" +config.network = "r50" +config.resume = False +config.output = None +config.embedding_size = 512 +config.sample_rate = 1.0 +config.fp16 = True +config.momentum = 0.9 +config.weight_decay = 5e-4 +config.batch_size = 128 +config.lr = 0.1 # batch size is 512 + +config.rec = "synthetic" +config.num_classes = 300 * 10000 +config.num_epoch = 30 +config.warmup_epoch = -1 +config.decay_epoch = [10, 16, 22] +config.val_targets = [] diff --git a/src/face3d/models/arcface_torch/configs/3millions_pfc.py b/src/face3d/models/arcface_torch/configs/3millions_pfc.py new file mode 100644 index 0000000000000000000000000000000000000000..77caafdbb300d8109d5bfdb844f131710ef81f20 --- /dev/null +++ b/src/face3d/models/arcface_torch/configs/3millions_pfc.py @@ -0,0 +1,23 @@ +from easydict import EasyDict as edict + +# configs for test speed + +config = edict() +config.loss = "arcface" +config.network = "r50" +config.resume = False +config.output = None +config.embedding_size = 512 +config.sample_rate = 0.1 +config.fp16 = True +config.momentum = 0.9 +config.weight_decay = 5e-4 +config.batch_size = 128 +config.lr = 0.1 # batch size is 512 + +config.rec = "synthetic" +config.num_classes = 300 * 10000 +config.num_epoch = 30 +config.warmup_epoch = -1 +config.decay_epoch = [10, 16, 22] +config.val_targets = [] diff --git a/src/face3d/models/arcface_torch/configs/__init__.py b/src/face3d/models/arcface_torch/configs/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/src/face3d/models/arcface_torch/configs/base.py b/src/face3d/models/arcface_torch/configs/base.py new file mode 100644 index 0000000000000000000000000000000000000000..78e4b36a9142b649ec39a8c59331bb2557f2ad57 --- /dev/null +++ b/src/face3d/models/arcface_torch/configs/base.py @@ -0,0 +1,56 @@ +from easydict import EasyDict as edict + +# make training faster +# our RAM is 256G +# mount -t tmpfs -o size=140G tmpfs /train_tmp + +config = edict() +config.loss = "arcface" +config.network = "r50" +config.resume = False +config.output = "ms1mv3_arcface_r50" + +config.dataset = "ms1m-retinaface-t1" +config.embedding_size = 512 +config.sample_rate = 1 +config.fp16 = False +config.momentum = 0.9 +config.weight_decay = 5e-4 +config.batch_size = 128 +config.lr = 0.1 # batch size is 512 + +if config.dataset == "emore": + config.rec = "/train_tmp/faces_emore" + config.num_classes = 85742 + config.num_image = 5822653 + config.num_epoch = 16 + config.warmup_epoch = -1 + config.decay_epoch = [8, 14, ] + config.val_targets = ["lfw", ] + +elif config.dataset == "ms1m-retinaface-t1": + config.rec = "/train_tmp/ms1m-retinaface-t1" + config.num_classes = 93431 + config.num_image = 5179510 + config.num_epoch = 25 + config.warmup_epoch = -1 + config.decay_epoch = [11, 17, 22] + config.val_targets = ["lfw", "cfp_fp", "agedb_30"] + +elif config.dataset == "glint360k": + config.rec = "/train_tmp/glint360k" + config.num_classes = 360232 + config.num_image = 17091657 + config.num_epoch = 20 + config.warmup_epoch = -1 + config.decay_epoch = [8, 12, 15, 18] + config.val_targets = ["lfw", "cfp_fp", "agedb_30"] + +elif config.dataset == "webface": + config.rec = "/train_tmp/faces_webface_112x112" + config.num_classes = 10572 + config.num_image = "forget" + config.num_epoch = 34 + config.warmup_epoch = -1 + config.decay_epoch = [20, 28, 32] + config.val_targets = ["lfw", "cfp_fp", "agedb_30"] diff --git a/src/face3d/models/arcface_torch/configs/glint360k_mbf.py b/src/face3d/models/arcface_torch/configs/glint360k_mbf.py new file mode 100644 index 0000000000000000000000000000000000000000..46ae777cc97af41a531cba4e5d1ff31f2efcb468 --- /dev/null +++ b/src/face3d/models/arcface_torch/configs/glint360k_mbf.py @@ -0,0 +1,26 @@ +from easydict import EasyDict as edict + +# make training faster +# our RAM is 256G +# mount -t tmpfs -o size=140G tmpfs /train_tmp + +config = edict() +config.loss = "cosface" +config.network = "mbf" +config.resume = False +config.output = None +config.embedding_size = 512 +config.sample_rate = 0.1 +config.fp16 = True +config.momentum = 0.9 +config.weight_decay = 2e-4 +config.batch_size = 128 +config.lr = 0.1 # batch size is 512 + +config.rec = "/train_tmp/glint360k" +config.num_classes = 360232 +config.num_image = 17091657 +config.num_epoch = 20 +config.warmup_epoch = -1 +config.decay_epoch = [8, 12, 15, 18] +config.val_targets = ["lfw", "cfp_fp", "agedb_30"] diff --git a/src/face3d/models/arcface_torch/configs/glint360k_r100.py b/src/face3d/models/arcface_torch/configs/glint360k_r100.py new file mode 100644 index 0000000000000000000000000000000000000000..93d0701c0094517cec147c382b005e8063938548 --- /dev/null +++ b/src/face3d/models/arcface_torch/configs/glint360k_r100.py @@ -0,0 +1,26 @@ +from easydict import EasyDict as edict + +# make training faster +# our RAM is 256G +# mount -t tmpfs -o size=140G tmpfs /train_tmp + +config = edict() +config.loss = "cosface" +config.network = "r100" +config.resume = False +config.output = None +config.embedding_size = 512 +config.sample_rate = 1.0 +config.fp16 = True +config.momentum = 0.9 +config.weight_decay = 5e-4 +config.batch_size = 128 +config.lr = 0.1 # batch size is 512 + +config.rec = "/train_tmp/glint360k" +config.num_classes = 360232 +config.num_image = 17091657 +config.num_epoch = 20 +config.warmup_epoch = -1 +config.decay_epoch = [8, 12, 15, 18] +config.val_targets = ["lfw", "cfp_fp", "agedb_30"] diff --git a/src/face3d/models/arcface_torch/configs/glint360k_r18.py b/src/face3d/models/arcface_torch/configs/glint360k_r18.py new file mode 100644 index 0000000000000000000000000000000000000000..7a8db34cd547e8e667103c93585296e47a894e97 --- /dev/null +++ b/src/face3d/models/arcface_torch/configs/glint360k_r18.py @@ -0,0 +1,26 @@ +from easydict import EasyDict as edict + +# make training faster +# our RAM is 256G +# mount -t tmpfs -o size=140G tmpfs /train_tmp + +config = edict() +config.loss = "cosface" +config.network = "r18" +config.resume = False +config.output = None +config.embedding_size = 512 +config.sample_rate = 1.0 +config.fp16 = True +config.momentum = 0.9 +config.weight_decay = 5e-4 +config.batch_size = 128 +config.lr = 0.1 # batch size is 512 + +config.rec = "/train_tmp/glint360k" +config.num_classes = 360232 +config.num_image = 17091657 +config.num_epoch = 20 +config.warmup_epoch = -1 +config.decay_epoch = [8, 12, 15, 18] +config.val_targets = ["lfw", "cfp_fp", "agedb_30"] diff --git a/src/face3d/models/arcface_torch/configs/glint360k_r34.py b/src/face3d/models/arcface_torch/configs/glint360k_r34.py new file mode 100644 index 0000000000000000000000000000000000000000..fda2701758a839a7161d09c25f0ca3d26033baff --- /dev/null +++ b/src/face3d/models/arcface_torch/configs/glint360k_r34.py @@ -0,0 +1,26 @@ +from easydict import EasyDict as edict + +# make training faster +# our RAM is 256G +# mount -t tmpfs -o size=140G tmpfs /train_tmp + +config = edict() +config.loss = "cosface" +config.network = "r34" +config.resume = False +config.output = None +config.embedding_size = 512 +config.sample_rate = 1.0 +config.fp16 = True +config.momentum = 0.9 +config.weight_decay = 5e-4 +config.batch_size = 128 +config.lr = 0.1 # batch size is 512 + +config.rec = "/train_tmp/glint360k" +config.num_classes = 360232 +config.num_image = 17091657 +config.num_epoch = 20 +config.warmup_epoch = -1 +config.decay_epoch = [8, 12, 15, 18] +config.val_targets = ["lfw", "cfp_fp", "agedb_30"] diff --git a/src/face3d/models/arcface_torch/configs/glint360k_r50.py b/src/face3d/models/arcface_torch/configs/glint360k_r50.py new file mode 100644 index 0000000000000000000000000000000000000000..37e7922f1f63284e356dcc45a5f979f9c105f25e --- /dev/null +++ b/src/face3d/models/arcface_torch/configs/glint360k_r50.py @@ -0,0 +1,26 @@ +from easydict import EasyDict as edict + +# make training faster +# our RAM is 256G +# mount -t tmpfs -o size=140G tmpfs /train_tmp + +config = edict() +config.loss = "cosface" +config.network = "r50" +config.resume = False +config.output = None +config.embedding_size = 512 +config.sample_rate = 1.0 +config.fp16 = True +config.momentum = 0.9 +config.weight_decay = 5e-4 +config.batch_size = 128 +config.lr = 0.1 # batch size is 512 + +config.rec = "/train_tmp/glint360k" +config.num_classes = 360232 +config.num_image = 17091657 +config.num_epoch = 20 +config.warmup_epoch = -1 +config.decay_epoch = [8, 12, 15, 18] +config.val_targets = ["lfw", "cfp_fp", "agedb_30"] diff --git a/src/face3d/models/arcface_torch/configs/ms1mv3_mbf.py b/src/face3d/models/arcface_torch/configs/ms1mv3_mbf.py new file mode 100644 index 0000000000000000000000000000000000000000..b8a00d6305eeda5a94788017afc1cda0d4a4cd2a --- /dev/null +++ b/src/face3d/models/arcface_torch/configs/ms1mv3_mbf.py @@ -0,0 +1,26 @@ +from easydict import EasyDict as edict + +# make training faster +# our RAM is 256G +# mount -t tmpfs -o size=140G tmpfs /train_tmp + +config = edict() +config.loss = "arcface" +config.network = "mbf" +config.resume = False +config.output = None +config.embedding_size = 512 +config.sample_rate = 1.0 +config.fp16 = True +config.momentum = 0.9 +config.weight_decay = 2e-4 +config.batch_size = 128 +config.lr = 0.1 # batch size is 512 + +config.rec = "/train_tmp/ms1m-retinaface-t1" +config.num_classes = 93431 +config.num_image = 5179510 +config.num_epoch = 30 +config.warmup_epoch = -1 +config.decay_epoch = [10, 20, 25] +config.val_targets = ["lfw", "cfp_fp", "agedb_30"] diff --git a/src/face3d/models/arcface_torch/configs/ms1mv3_r18.py b/src/face3d/models/arcface_torch/configs/ms1mv3_r18.py new file mode 100644 index 0000000000000000000000000000000000000000..eb4e0d31f1aedf4590628d394e1606920fefb5c9 --- /dev/null +++ b/src/face3d/models/arcface_torch/configs/ms1mv3_r18.py @@ -0,0 +1,26 @@ +from easydict import EasyDict as edict + +# make training faster +# our RAM is 256G +# mount -t tmpfs -o size=140G tmpfs /train_tmp + +config = edict() +config.loss = "arcface" +config.network = "r18" +config.resume = False +config.output = None +config.embedding_size = 512 +config.sample_rate = 1.0 +config.fp16 = True +config.momentum = 0.9 +config.weight_decay = 5e-4 +config.batch_size = 128 +config.lr = 0.1 # batch size is 512 + +config.rec = "/train_tmp/ms1m-retinaface-t1" +config.num_classes = 93431 +config.num_image = 5179510 +config.num_epoch = 25 +config.warmup_epoch = -1 +config.decay_epoch = [10, 16, 22] +config.val_targets = ["lfw", "cfp_fp", "agedb_30"] diff --git a/src/face3d/models/arcface_torch/configs/ms1mv3_r2060.py b/src/face3d/models/arcface_torch/configs/ms1mv3_r2060.py new file mode 100644 index 0000000000000000000000000000000000000000..23ad81e082c4b6390b67b164d0ceb84bb0635684 --- /dev/null +++ b/src/face3d/models/arcface_torch/configs/ms1mv3_r2060.py @@ -0,0 +1,26 @@ +from easydict import EasyDict as edict + +# make training faster +# our RAM is 256G +# mount -t tmpfs -o size=140G tmpfs /train_tmp + +config = edict() +config.loss = "arcface" +config.network = "r2060" +config.resume = False +config.output = None +config.embedding_size = 512 +config.sample_rate = 1.0 +config.fp16 = True +config.momentum = 0.9 +config.weight_decay = 5e-4 +config.batch_size = 64 +config.lr = 0.1 # batch size is 512 + +config.rec = "/train_tmp/ms1m-retinaface-t1" +config.num_classes = 93431 +config.num_image = 5179510 +config.num_epoch = 25 +config.warmup_epoch = -1 +config.decay_epoch = [10, 16, 22] +config.val_targets = ["lfw", "cfp_fp", "agedb_30"] diff --git a/src/face3d/models/arcface_torch/configs/ms1mv3_r34.py b/src/face3d/models/arcface_torch/configs/ms1mv3_r34.py new file mode 100644 index 0000000000000000000000000000000000000000..5f78337a3d1f9eb6e9145eb5093618796c6842d2 --- /dev/null +++ b/src/face3d/models/arcface_torch/configs/ms1mv3_r34.py @@ -0,0 +1,26 @@ +from easydict import EasyDict as edict + +# make training faster +# our RAM is 256G +# mount -t tmpfs -o size=140G tmpfs /train_tmp + +config = edict() +config.loss = "arcface" +config.network = "r34" +config.resume = False +config.output = None +config.embedding_size = 512 +config.sample_rate = 1.0 +config.fp16 = True +config.momentum = 0.9 +config.weight_decay = 5e-4 +config.batch_size = 128 +config.lr = 0.1 # batch size is 512 + +config.rec = "/train_tmp/ms1m-retinaface-t1" +config.num_classes = 93431 +config.num_image = 5179510 +config.num_epoch = 25 +config.warmup_epoch = -1 +config.decay_epoch = [10, 16, 22] +config.val_targets = ["lfw", "cfp_fp", "agedb_30"] diff --git a/src/face3d/models/arcface_torch/configs/ms1mv3_r50.py b/src/face3d/models/arcface_torch/configs/ms1mv3_r50.py new file mode 100644 index 0000000000000000000000000000000000000000..08ba55dbbea6df0afffddbb3d1ed173efad99604 --- /dev/null +++ b/src/face3d/models/arcface_torch/configs/ms1mv3_r50.py @@ -0,0 +1,26 @@ +from easydict import EasyDict as edict + +# make training faster +# our RAM is 256G +# mount -t tmpfs -o size=140G tmpfs /train_tmp + +config = edict() +config.loss = "arcface" +config.network = "r50" +config.resume = False +config.output = None +config.embedding_size = 512 +config.sample_rate = 1.0 +config.fp16 = True +config.momentum = 0.9 +config.weight_decay = 5e-4 +config.batch_size = 128 +config.lr = 0.1 # batch size is 512 + +config.rec = "/train_tmp/ms1m-retinaface-t1" +config.num_classes = 93431 +config.num_image = 5179510 +config.num_epoch = 25 +config.warmup_epoch = -1 +config.decay_epoch = [10, 16, 22] +config.val_targets = ["lfw", "cfp_fp", "agedb_30"] diff --git a/src/face3d/models/arcface_torch/configs/speed.py b/src/face3d/models/arcface_torch/configs/speed.py new file mode 100644 index 0000000000000000000000000000000000000000..45e95237da65e44f35a172c25ac6dc4e313e4eae --- /dev/null +++ b/src/face3d/models/arcface_torch/configs/speed.py @@ -0,0 +1,23 @@ +from easydict import EasyDict as edict + +# configs for test speed + +config = edict() +config.loss = "arcface" +config.network = "r50" +config.resume = False +config.output = None +config.embedding_size = 512 +config.sample_rate = 1.0 +config.fp16 = True +config.momentum = 0.9 +config.weight_decay = 5e-4 +config.batch_size = 128 +config.lr = 0.1 # batch size is 512 + +config.rec = "synthetic" +config.num_classes = 100 * 10000 +config.num_epoch = 30 +config.warmup_epoch = -1 +config.decay_epoch = [10, 16, 22] +config.val_targets = [] diff --git a/src/face3d/models/arcface_torch/dataset.py b/src/face3d/models/arcface_torch/dataset.py new file mode 100644 index 0000000000000000000000000000000000000000..96bbb8bb6da99122f350bc8e1a6390245840e32b --- /dev/null +++ b/src/face3d/models/arcface_torch/dataset.py @@ -0,0 +1,124 @@ +import numbers +import os +import queue as Queue +import threading + +import mxnet as mx +import numpy as np +import torch +from torch.utils.data import DataLoader, Dataset +from torchvision import transforms + + +class BackgroundGenerator(threading.Thread): + def __init__(self, generator, local_rank, max_prefetch=6): + super(BackgroundGenerator, self).__init__() + self.queue = Queue.Queue(max_prefetch) + self.generator = generator + self.local_rank = local_rank + self.daemon = True + self.start() + + def run(self): + torch.cuda.set_device(self.local_rank) + for item in self.generator: + self.queue.put(item) + self.queue.put(None) + + def next(self): + next_item = self.queue.get() + if next_item is None: + raise StopIteration + return next_item + + def __next__(self): + return self.next() + + def __iter__(self): + return self + + +class DataLoaderX(DataLoader): + + def __init__(self, local_rank, **kwargs): + super(DataLoaderX, self).__init__(**kwargs) + self.stream = torch.cuda.Stream(local_rank) + self.local_rank = local_rank + + def __iter__(self): + self.iter = super(DataLoaderX, self).__iter__() + self.iter = BackgroundGenerator(self.iter, self.local_rank) + self.preload() + return self + + def preload(self): + self.batch = next(self.iter, None) + if self.batch is None: + return None + with torch.cuda.stream(self.stream): + for k in range(len(self.batch)): + self.batch[k] = self.batch[k].to(device=self.local_rank, non_blocking=True) + + def __next__(self): + torch.cuda.current_stream().wait_stream(self.stream) + batch = self.batch + if batch is None: + raise StopIteration + self.preload() + return batch + + +class MXFaceDataset(Dataset): + def __init__(self, root_dir, local_rank): + super(MXFaceDataset, self).__init__() + self.transform = transforms.Compose( + [transforms.ToPILImage(), + transforms.RandomHorizontalFlip(), + transforms.ToTensor(), + transforms.Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5]), + ]) + self.root_dir = root_dir + self.local_rank = local_rank + path_imgrec = os.path.join(root_dir, 'train.rec') + path_imgidx = os.path.join(root_dir, 'train.idx') + self.imgrec = mx.recordio.MXIndexedRecordIO(path_imgidx, path_imgrec, 'r') + s = self.imgrec.read_idx(0) + header, _ = mx.recordio.unpack(s) + if header.flag > 0: + self.header0 = (int(header.label[0]), int(header.label[1])) + self.imgidx = np.array(range(1, int(header.label[0]))) + else: + self.imgidx = np.array(list(self.imgrec.keys)) + + def __getitem__(self, index): + idx = self.imgidx[index] + s = self.imgrec.read_idx(idx) + header, img = mx.recordio.unpack(s) + label = header.label + if not isinstance(label, numbers.Number): + label = label[0] + label = torch.tensor(label, dtype=torch.long) + sample = mx.image.imdecode(img).asnumpy() + if self.transform is not None: + sample = self.transform(sample) + return sample, label + + def __len__(self): + return len(self.imgidx) + + +class SyntheticDataset(Dataset): + def __init__(self, local_rank): + super(SyntheticDataset, self).__init__() + img = np.random.randint(0, 255, size=(112, 112, 3), dtype=np.int32) + img = np.transpose(img, (2, 0, 1)) + img = torch.from_numpy(img).squeeze(0).float() + img = ((img / 255) - 0.5) / 0.5 + self.img = img + self.label = 1 + + def __getitem__(self, index): + return self.img, self.label + + def __len__(self): + return 1000000 diff --git a/src/face3d/models/arcface_torch/docs/eval.md b/src/face3d/models/arcface_torch/docs/eval.md new file mode 100644 index 0000000000000000000000000000000000000000..dd1d9e257367b6422680966198646c45e5a2671d --- /dev/null +++ b/src/face3d/models/arcface_torch/docs/eval.md @@ -0,0 +1,31 @@ +## Eval on ICCV2021-MFR + +coming soon. + + +## Eval IJBC +You can eval ijbc with pytorch or onnx. + + +1. Eval IJBC With Onnx +```shell +CUDA_VISIBLE_DEVICES=0 python onnx_ijbc.py --model-root ms1mv3_arcface_r50 --image-path IJB_release/IJBC --result-dir ms1mv3_arcface_r50 +``` + +2. Eval IJBC With Pytorch +```shell +CUDA_VISIBLE_DEVICES=0,1 python eval_ijbc.py \ +--model-prefix ms1mv3_arcface_r50/backbone.pth \ +--image-path IJB_release/IJBC \ +--result-dir ms1mv3_arcface_r50 \ +--batch-size 128 \ +--job ms1mv3_arcface_r50 \ +--target IJBC \ +--network iresnet50 +``` + +## Inference + +```shell +python inference.py --weight ms1mv3_arcface_r50/backbone.pth --network r50 +``` diff --git a/src/face3d/models/arcface_torch/docs/install.md b/src/face3d/models/arcface_torch/docs/install.md new file mode 100644 index 0000000000000000000000000000000000000000..6314a40441285e9236438e468caf8b71a407531a --- /dev/null +++ b/src/face3d/models/arcface_torch/docs/install.md @@ -0,0 +1,51 @@ +## v1.8.0 +### Linux and Windows +```shell +# CUDA 11.0 +pip --default-timeout=100 install torch==1.8.0+cu111 torchvision==0.9.0+cu111 torchaudio==0.8.0 -f https://download.pytorch.org/whl/torch_stable.html + +# CUDA 10.2 +pip --default-timeout=100 install torch==1.8.0 torchvision==0.9.0 torchaudio==0.8.0 + +# CPU only +pip --default-timeout=100 install torch==1.8.0+cpu torchvision==0.9.0+cpu torchaudio==0.8.0 -f https://download.pytorch.org/whl/torch_stable.html + +``` + + +## v1.7.1 +### Linux and Windows +```shell +# CUDA 11.0 +pip install torch==1.7.1+cu110 torchvision==0.8.2+cu110 torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html + +# CUDA 10.2 +pip install torch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 + +# CUDA 10.1 +pip install torch==1.7.1+cu101 torchvision==0.8.2+cu101 torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html + +# CUDA 9.2 +pip install torch==1.7.1+cu92 torchvision==0.8.2+cu92 torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html + +# CPU only +pip install torch==1.7.1+cpu torchvision==0.8.2+cpu torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html +``` + + +## v1.6.0 + +### Linux and Windows +```shell +# CUDA 10.2 +pip install torch==1.6.0 torchvision==0.7.0 + +# CUDA 10.1 +pip install torch==1.6.0+cu101 torchvision==0.7.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html + +# CUDA 9.2 +pip install torch==1.6.0+cu92 torchvision==0.7.0+cu92 -f https://download.pytorch.org/whl/torch_stable.html + +# CPU only +pip install torch==1.6.0+cpu torchvision==0.7.0+cpu -f https://download.pytorch.org/whl/torch_stable.html +``` \ No newline at end of file diff --git a/src/face3d/models/arcface_torch/docs/modelzoo.md b/src/face3d/models/arcface_torch/docs/modelzoo.md new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/src/face3d/models/arcface_torch/docs/speed_benchmark.md b/src/face3d/models/arcface_torch/docs/speed_benchmark.md new file mode 100644 index 0000000000000000000000000000000000000000..055aee0defe2c43a523ced48260242f0f99b7cea --- /dev/null +++ b/src/face3d/models/arcface_torch/docs/speed_benchmark.md @@ -0,0 +1,93 @@ +## Test Training Speed + +- Test Commands + +You need to use the following two commands to test the Partial FC training performance. +The number of identites is **3 millions** (synthetic data), turn mixed precision training on, backbone is resnet50, +batch size is 1024. +```shell +# Model Parallel +python -m torch.distributed.launch --nproc_per_node=8 --nnodes=1 --node_rank=0 --master_addr="127.0.0.1" --master_port=1234 train.py configs/3millions +# Partial FC 0.1 +python -m torch.distributed.launch --nproc_per_node=8 --nnodes=1 --node_rank=0 --master_addr="127.0.0.1" --master_port=1234 train.py configs/3millions_pfc +``` + +- GPU Memory + +``` +# (Model Parallel) gpustat -i +[0] Tesla V100-SXM2-32GB | 64'C, 94 % | 30338 / 32510 MB +[1] Tesla V100-SXM2-32GB | 60'C, 99 % | 28876 / 32510 MB +[2] Tesla V100-SXM2-32GB | 60'C, 99 % | 28872 / 32510 MB +[3] Tesla V100-SXM2-32GB | 69'C, 99 % | 28872 / 32510 MB +[4] Tesla V100-SXM2-32GB | 66'C, 99 % | 28888 / 32510 MB +[5] Tesla V100-SXM2-32GB | 60'C, 99 % | 28932 / 32510 MB +[6] Tesla V100-SXM2-32GB | 68'C, 100 % | 28916 / 32510 MB +[7] Tesla V100-SXM2-32GB | 65'C, 99 % | 28860 / 32510 MB + +# (Partial FC 0.1) gpustat -i +[0] Tesla V100-SXM2-32GB | 60'C, 95 % | 10488 / 32510 MB │······················· +[1] Tesla V100-SXM2-32GB | 60'C, 97 % | 10344 / 32510 MB │······················· +[2] Tesla V100-SXM2-32GB | 61'C, 95 % | 10340 / 32510 MB │······················· +[3] Tesla V100-SXM2-32GB | 66'C, 95 % | 10340 / 32510 MB │······················· +[4] Tesla V100-SXM2-32GB | 65'C, 94 % | 10356 / 32510 MB │······················· +[5] Tesla V100-SXM2-32GB | 61'C, 95 % | 10400 / 32510 MB │······················· +[6] Tesla V100-SXM2-32GB | 68'C, 96 % | 10384 / 32510 MB │······················· +[7] Tesla V100-SXM2-32GB | 64'C, 95 % | 10328 / 32510 MB │······················· +``` + +- Training Speed + +```python +# (Model Parallel) trainging.log +Training: Speed 2271.33 samples/sec Loss 1.1624 LearningRate 0.2000 Epoch: 0 Global Step: 100 +Training: Speed 2269.94 samples/sec Loss 0.0000 LearningRate 0.2000 Epoch: 0 Global Step: 150 +Training: Speed 2272.67 samples/sec Loss 0.0000 LearningRate 0.2000 Epoch: 0 Global Step: 200 +Training: Speed 2266.55 samples/sec Loss 0.0000 LearningRate 0.2000 Epoch: 0 Global Step: 250 +Training: Speed 2272.54 samples/sec Loss 0.0000 LearningRate 0.2000 Epoch: 0 Global Step: 300 + +# (Partial FC 0.1) trainging.log +Training: Speed 5299.56 samples/sec Loss 1.0965 LearningRate 0.2000 Epoch: 0 Global Step: 100 +Training: Speed 5296.37 samples/sec Loss 0.0000 LearningRate 0.2000 Epoch: 0 Global Step: 150 +Training: Speed 5304.37 samples/sec Loss 0.0000 LearningRate 0.2000 Epoch: 0 Global Step: 200 +Training: Speed 5274.43 samples/sec Loss 0.0000 LearningRate 0.2000 Epoch: 0 Global Step: 250 +Training: Speed 5300.10 samples/sec Loss 0.0000 LearningRate 0.2000 Epoch: 0 Global Step: 300 +``` + +In this test case, Partial FC 0.1 only use1 1/3 of the GPU memory of the model parallel, +and the training speed is 2.5 times faster than the model parallel. + + +## Speed Benchmark + +1. Training speed of different parallel methods (samples/second), Tesla V100 32GB * 8. (Larger is better) + +| Number of Identities in Dataset | Data Parallel | Model Parallel | Partial FC 0.1 | +| :--- | :--- | :--- | :--- | +|125000 | 4681 | 4824 | 5004 | +|250000 | 4047 | 4521 | 4976 | +|500000 | 3087 | 4013 | 4900 | +|1000000 | 2090 | 3449 | 4803 | +|1400000 | 1672 | 3043 | 4738 | +|2000000 | - | 2593 | 4626 | +|4000000 | - | 1748 | 4208 | +|5500000 | - | 1389 | 3975 | +|8000000 | - | - | 3565 | +|16000000 | - | - | 2679 | +|29000000 | - | - | 1855 | + +2. GPU memory cost of different parallel methods (GB per GPU), Tesla V100 32GB * 8. (Smaller is better) + +| Number of Identities in Dataset | Data Parallel | Model Parallel | Partial FC 0.1 | +| :--- | :--- | :--- | :--- | +|125000 | 7358 | 5306 | 4868 | +|250000 | 9940 | 5826 | 5004 | +|500000 | 14220 | 7114 | 5202 | +|1000000 | 23708 | 9966 | 5620 | +|1400000 | 32252 | 11178 | 6056 | +|2000000 | - | 13978 | 6472 | +|4000000 | - | 23238 | 8284 | +|5500000 | - | 32188 | 9854 | +|8000000 | - | - | 12310 | +|16000000 | - | - | 19950 | +|29000000 | - | - | 32324 | diff --git a/src/face3d/models/arcface_torch/eval/__init__.py b/src/face3d/models/arcface_torch/eval/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/src/face3d/models/arcface_torch/eval/verification.py b/src/face3d/models/arcface_torch/eval/verification.py new file mode 100644 index 0000000000000000000000000000000000000000..253343b83dbf9d1bd154d14ec068e098bf0968db --- /dev/null +++ b/src/face3d/models/arcface_torch/eval/verification.py @@ -0,0 +1,407 @@ +"""Helper for evaluation on the Labeled Faces in the Wild dataset +""" + +# MIT License +# +# Copyright (c) 2016 David Sandberg +# +# Permission is hereby granted, free of charge, to any person obtaining a copy +# of this software and associated documentation files (the "Software"), to deal +# in the Software without restriction, including without limitation the rights +# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +# copies of the Software, and to permit persons to whom the Software is +# furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in all +# copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +# SOFTWARE. + + +import datetime +import os +import pickle + +import mxnet as mx +import numpy as np +import sklearn +import torch +from mxnet import ndarray as nd +from scipy import interpolate +from sklearn.decomposition import PCA +from sklearn.model_selection import KFold + + +class LFold: + def __init__(self, n_splits=2, shuffle=False): + self.n_splits = n_splits + if self.n_splits > 1: + self.k_fold = KFold(n_splits=n_splits, shuffle=shuffle) + + def split(self, indices): + if self.n_splits > 1: + return self.k_fold.split(indices) + else: + return [(indices, indices)] + + +def calculate_roc(thresholds, + embeddings1, + embeddings2, + actual_issame, + nrof_folds=10, + pca=0): + assert (embeddings1.shape[0] == embeddings2.shape[0]) + assert (embeddings1.shape[1] == embeddings2.shape[1]) + nrof_pairs = min(len(actual_issame), embeddings1.shape[0]) + nrof_thresholds = len(thresholds) + k_fold = LFold(n_splits=nrof_folds, shuffle=False) + + tprs = np.zeros((nrof_folds, nrof_thresholds)) + fprs = np.zeros((nrof_folds, nrof_thresholds)) + accuracy = np.zeros((nrof_folds)) + indices = np.arange(nrof_pairs) + + if pca == 0: + diff = np.subtract(embeddings1, embeddings2) + dist = np.sum(np.square(diff), 1) + + for fold_idx, (train_set, test_set) in enumerate(k_fold.split(indices)): + if pca > 0: + print('doing pca on', fold_idx) + embed1_train = embeddings1[train_set] + embed2_train = embeddings2[train_set] + _embed_train = np.concatenate((embed1_train, embed2_train), axis=0) + pca_model = PCA(n_components=pca) + pca_model.fit(_embed_train) + embed1 = pca_model.transform(embeddings1) + embed2 = pca_model.transform(embeddings2) + embed1 = sklearn.preprocessing.normalize(embed1) + embed2 = sklearn.preprocessing.normalize(embed2) + diff = np.subtract(embed1, embed2) + dist = np.sum(np.square(diff), 1) + + # Find the best threshold for the fold + acc_train = np.zeros((nrof_thresholds)) + for threshold_idx, threshold in enumerate(thresholds): + _, _, acc_train[threshold_idx] = calculate_accuracy( + threshold, dist[train_set], actual_issame[train_set]) + best_threshold_index = np.argmax(acc_train) + for threshold_idx, threshold in enumerate(thresholds): + tprs[fold_idx, threshold_idx], fprs[fold_idx, threshold_idx], _ = calculate_accuracy( + threshold, dist[test_set], + actual_issame[test_set]) + _, _, accuracy[fold_idx] = calculate_accuracy( + thresholds[best_threshold_index], dist[test_set], + actual_issame[test_set]) + + tpr = np.mean(tprs, 0) + fpr = np.mean(fprs, 0) + return tpr, fpr, accuracy + + +def calculate_accuracy(threshold, dist, actual_issame): + predict_issame = np.less(dist, threshold) + tp = np.sum(np.logical_and(predict_issame, actual_issame)) + fp = np.sum(np.logical_and(predict_issame, np.logical_not(actual_issame))) + tn = np.sum( + np.logical_and(np.logical_not(predict_issame), + np.logical_not(actual_issame))) + fn = np.sum(np.logical_and(np.logical_not(predict_issame), actual_issame)) + + tpr = 0 if (tp + fn == 0) else float(tp) / float(tp + fn) + fpr = 0 if (fp + tn == 0) else float(fp) / float(fp + tn) + acc = float(tp + tn) / dist.size + return tpr, fpr, acc + + +def calculate_val(thresholds, + embeddings1, + embeddings2, + actual_issame, + far_target, + nrof_folds=10): + assert (embeddings1.shape[0] == embeddings2.shape[0]) + assert (embeddings1.shape[1] == embeddings2.shape[1]) + nrof_pairs = min(len(actual_issame), embeddings1.shape[0]) + nrof_thresholds = len(thresholds) + k_fold = LFold(n_splits=nrof_folds, shuffle=False) + + val = np.zeros(nrof_folds) + far = np.zeros(nrof_folds) + + diff = np.subtract(embeddings1, embeddings2) + dist = np.sum(np.square(diff), 1) + indices = np.arange(nrof_pairs) + + for fold_idx, (train_set, test_set) in enumerate(k_fold.split(indices)): + + # Find the threshold that gives FAR = far_target + far_train = np.zeros(nrof_thresholds) + for threshold_idx, threshold in enumerate(thresholds): + _, far_train[threshold_idx] = calculate_val_far( + threshold, dist[train_set], actual_issame[train_set]) + if np.max(far_train) >= far_target: + f = interpolate.interp1d(far_train, thresholds, kind='slinear') + threshold = f(far_target) + else: + threshold = 0.0 + + val[fold_idx], far[fold_idx] = calculate_val_far( + threshold, dist[test_set], actual_issame[test_set]) + + val_mean = np.mean(val) + far_mean = np.mean(far) + val_std = np.std(val) + return val_mean, val_std, far_mean + + +def calculate_val_far(threshold, dist, actual_issame): + predict_issame = np.less(dist, threshold) + true_accept = np.sum(np.logical_and(predict_issame, actual_issame)) + false_accept = np.sum( + np.logical_and(predict_issame, np.logical_not(actual_issame))) + n_same = np.sum(actual_issame) + n_diff = np.sum(np.logical_not(actual_issame)) + # print(true_accept, false_accept) + # print(n_same, n_diff) + val = float(true_accept) / float(n_same) + far = float(false_accept) / float(n_diff) + return val, far + + +def evaluate(embeddings, actual_issame, nrof_folds=10, pca=0): + # Calculate evaluation metrics + thresholds = np.arange(0, 4, 0.01) + embeddings1 = embeddings[0::2] + embeddings2 = embeddings[1::2] + tpr, fpr, accuracy = calculate_roc(thresholds, + embeddings1, + embeddings2, + np.asarray(actual_issame), + nrof_folds=nrof_folds, + pca=pca) + thresholds = np.arange(0, 4, 0.001) + val, val_std, far = calculate_val(thresholds, + embeddings1, + embeddings2, + np.asarray(actual_issame), + 1e-3, + nrof_folds=nrof_folds) + return tpr, fpr, accuracy, val, val_std, far + +@torch.no_grad() +def load_bin(path, image_size): + try: + with open(path, 'rb') as f: + bins, issame_list = pickle.load(f) # py2 + except UnicodeDecodeError as e: + with open(path, 'rb') as f: + bins, issame_list = pickle.load(f, encoding='bytes') # py3 + data_list = [] + for flip in [0, 1]: + data = torch.empty((len(issame_list) * 2, 3, image_size[0], image_size[1])) + data_list.append(data) + for idx in range(len(issame_list) * 2): + _bin = bins[idx] + img = mx.image.imdecode(_bin) + if img.shape[1] != image_size[0]: + img = mx.image.resize_short(img, image_size[0]) + img = nd.transpose(img, axes=(2, 0, 1)) + for flip in [0, 1]: + if flip == 1: + img = mx.ndarray.flip(data=img, axis=2) + data_list[flip][idx][:] = torch.from_numpy(img.asnumpy()) + if idx % 1000 == 0: + print('loading bin', idx) + print(data_list[0].shape) + return data_list, issame_list + +@torch.no_grad() +def test(data_set, backbone, batch_size, nfolds=10): + print('testing verification..') + data_list = data_set[0] + issame_list = data_set[1] + embeddings_list = [] + time_consumed = 0.0 + for i in range(len(data_list)): + data = data_list[i] + embeddings = None + ba = 0 + while ba < data.shape[0]: + bb = min(ba + batch_size, data.shape[0]) + count = bb - ba + _data = data[bb - batch_size: bb] + time0 = datetime.datetime.now() + img = ((_data / 255) - 0.5) / 0.5 + net_out: torch.Tensor = backbone(img) + _embeddings = net_out.detach().cpu().numpy() + time_now = datetime.datetime.now() + diff = time_now - time0 + time_consumed += diff.total_seconds() + if embeddings is None: + embeddings = np.zeros((data.shape[0], _embeddings.shape[1])) + embeddings[ba:bb, :] = _embeddings[(batch_size - count):, :] + ba = bb + embeddings_list.append(embeddings) + + _xnorm = 0.0 + _xnorm_cnt = 0 + for embed in embeddings_list: + for i in range(embed.shape[0]): + _em = embed[i] + _norm = np.linalg.norm(_em) + _xnorm += _norm + _xnorm_cnt += 1 + _xnorm /= _xnorm_cnt + + acc1 = 0.0 + std1 = 0.0 + embeddings = embeddings_list[0] + embeddings_list[1] + embeddings = sklearn.preprocessing.normalize(embeddings) + print(embeddings.shape) + print('infer time', time_consumed) + _, _, accuracy, val, val_std, far = evaluate(embeddings, issame_list, nrof_folds=nfolds) + acc2, std2 = np.mean(accuracy), np.std(accuracy) + return acc1, std1, acc2, std2, _xnorm, embeddings_list + + +def dumpR(data_set, + backbone, + batch_size, + name='', + data_extra=None, + label_shape=None): + print('dump verification embedding..') + data_list = data_set[0] + issame_list = data_set[1] + embeddings_list = [] + time_consumed = 0.0 + for i in range(len(data_list)): + data = data_list[i] + embeddings = None + ba = 0 + while ba < data.shape[0]: + bb = min(ba + batch_size, data.shape[0]) + count = bb - ba + + _data = nd.slice_axis(data, axis=0, begin=bb - batch_size, end=bb) + time0 = datetime.datetime.now() + if data_extra is None: + db = mx.io.DataBatch(data=(_data,), label=(_label,)) + else: + db = mx.io.DataBatch(data=(_data, _data_extra), + label=(_label,)) + model.forward(db, is_train=False) + net_out = model.get_outputs() + _embeddings = net_out[0].asnumpy() + time_now = datetime.datetime.now() + diff = time_now - time0 + time_consumed += diff.total_seconds() + if embeddings is None: + embeddings = np.zeros((data.shape[0], _embeddings.shape[1])) + embeddings[ba:bb, :] = _embeddings[(batch_size - count):, :] + ba = bb + embeddings_list.append(embeddings) + embeddings = embeddings_list[0] + embeddings_list[1] + embeddings = sklearn.preprocessing.normalize(embeddings) + actual_issame = np.asarray(issame_list) + outname = os.path.join('temp.bin') + with open(outname, 'wb') as f: + pickle.dump((embeddings, issame_list), + f, + protocol=pickle.HIGHEST_PROTOCOL) + + +# if __name__ == '__main__': +# +# parser = argparse.ArgumentParser(description='do verification') +# # general +# parser.add_argument('--data-dir', default='', help='') +# parser.add_argument('--model', +# default='../model/softmax,50', +# help='path to load model.') +# parser.add_argument('--target', +# default='lfw,cfp_ff,cfp_fp,agedb_30', +# help='test targets.') +# parser.add_argument('--gpu', default=0, type=int, help='gpu id') +# parser.add_argument('--batch-size', default=32, type=int, help='') +# parser.add_argument('--max', default='', type=str, help='') +# parser.add_argument('--mode', default=0, type=int, help='') +# parser.add_argument('--nfolds', default=10, type=int, help='') +# args = parser.parse_args() +# image_size = [112, 112] +# print('image_size', image_size) +# ctx = mx.gpu(args.gpu) +# nets = [] +# vec = args.model.split(',') +# prefix = args.model.split(',')[0] +# epochs = [] +# if len(vec) == 1: +# pdir = os.path.dirname(prefix) +# for fname in os.listdir(pdir): +# if not fname.endswith('.params'): +# continue +# _file = os.path.join(pdir, fname) +# if _file.startswith(prefix): +# epoch = int(fname.split('.')[0].split('-')[1]) +# epochs.append(epoch) +# epochs = sorted(epochs, reverse=True) +# if len(args.max) > 0: +# _max = [int(x) for x in args.max.split(',')] +# assert len(_max) == 2 +# if len(epochs) > _max[1]: +# epochs = epochs[_max[0]:_max[1]] +# +# else: +# epochs = [int(x) for x in vec[1].split('|')] +# print('model number', len(epochs)) +# time0 = datetime.datetime.now() +# for epoch in epochs: +# print('loading', prefix, epoch) +# sym, arg_params, aux_params = mx.model.load_checkpoint(prefix, epoch) +# # arg_params, aux_params = ch_dev(arg_params, aux_params, ctx) +# all_layers = sym.get_internals() +# sym = all_layers['fc1_output'] +# model = mx.mod.Module(symbol=sym, context=ctx, label_names=None) +# # model.bind(data_shapes=[('data', (args.batch_size, 3, image_size[0], image_size[1]))], label_shapes=[('softmax_label', (args.batch_size,))]) +# model.bind(data_shapes=[('data', (args.batch_size, 3, image_size[0], +# image_size[1]))]) +# model.set_params(arg_params, aux_params) +# nets.append(model) +# time_now = datetime.datetime.now() +# diff = time_now - time0 +# print('model loading time', diff.total_seconds()) +# +# ver_list = [] +# ver_name_list = [] +# for name in args.target.split(','): +# path = os.path.join(args.data_dir, name + ".bin") +# if os.path.exists(path): +# print('loading.. ', name) +# data_set = load_bin(path, image_size) +# ver_list.append(data_set) +# ver_name_list.append(name) +# +# if args.mode == 0: +# for i in range(len(ver_list)): +# results = [] +# for model in nets: +# acc1, std1, acc2, std2, xnorm, embeddings_list = test( +# ver_list[i], model, args.batch_size, args.nfolds) +# print('[%s]XNorm: %f' % (ver_name_list[i], xnorm)) +# print('[%s]Accuracy: %1.5f+-%1.5f' % (ver_name_list[i], acc1, std1)) +# print('[%s]Accuracy-Flip: %1.5f+-%1.5f' % (ver_name_list[i], acc2, std2)) +# results.append(acc2) +# print('Max of [%s] is %1.5f' % (ver_name_list[i], np.max(results))) +# elif args.mode == 1: +# raise ValueError +# else: +# model = nets[0] +# dumpR(ver_list[0], model, args.batch_size, args.target) diff --git a/src/face3d/models/arcface_torch/eval_ijbc.py b/src/face3d/models/arcface_torch/eval_ijbc.py new file mode 100644 index 0000000000000000000000000000000000000000..9c5a650d486d18eb02d6f60d448fc3b315261f5d --- /dev/null +++ b/src/face3d/models/arcface_torch/eval_ijbc.py @@ -0,0 +1,483 @@ +# coding: utf-8 + +import os +import pickle + +import matplotlib +import pandas as pd + +matplotlib.use('Agg') +import matplotlib.pyplot as plt +import timeit +import sklearn +import argparse +import cv2 +import numpy as np +import torch +from skimage import transform as trans +from backbones import get_model +from sklearn.metrics import roc_curve, auc + +from menpo.visualize.viewmatplotlib import sample_colours_from_colourmap +from prettytable import PrettyTable +from pathlib import Path + +import sys +import warnings + +sys.path.insert(0, "../") +warnings.filterwarnings("ignore") + +parser = argparse.ArgumentParser(description='do ijb test') +# general +parser.add_argument('--model-prefix', default='', help='path to load model.') +parser.add_argument('--image-path', default='', type=str, help='') +parser.add_argument('--result-dir', default='.', type=str, help='') +parser.add_argument('--batch-size', default=128, type=int, help='') +parser.add_argument('--network', default='iresnet50', type=str, help='') +parser.add_argument('--job', default='insightface', type=str, help='job name') +parser.add_argument('--target', default='IJBC', type=str, help='target, set to IJBC or IJBB') +args = parser.parse_args() + +target = args.target +model_path = args.model_prefix +image_path = args.image_path +result_dir = args.result_dir +gpu_id = None +use_norm_score = True # if Ture, TestMode(N1) +use_detector_score = True # if Ture, TestMode(D1) +use_flip_test = True # if Ture, TestMode(F1) +job = args.job +batch_size = args.batch_size + + +class Embedding(object): + def __init__(self, prefix, data_shape, batch_size=1): + image_size = (112, 112) + self.image_size = image_size + weight = torch.load(prefix) + resnet = get_model(args.network, dropout=0, fp16=False).cuda() + resnet.load_state_dict(weight) + model = torch.nn.DataParallel(resnet) + self.model = model + self.model.eval() + src = np.array([ + [30.2946, 51.6963], + [65.5318, 51.5014], + [48.0252, 71.7366], + [33.5493, 92.3655], + [62.7299, 92.2041]], dtype=np.float32) + src[:, 0] += 8.0 + self.src = src + self.batch_size = batch_size + self.data_shape = data_shape + + def get(self, rimg, landmark): + + assert landmark.shape[0] == 68 or landmark.shape[0] == 5 + assert landmark.shape[1] == 2 + if landmark.shape[0] == 68: + landmark5 = np.zeros((5, 2), dtype=np.float32) + landmark5[0] = (landmark[36] + landmark[39]) / 2 + landmark5[1] = (landmark[42] + landmark[45]) / 2 + landmark5[2] = landmark[30] + landmark5[3] = landmark[48] + landmark5[4] = landmark[54] + else: + landmark5 = landmark + tform = trans.SimilarityTransform() + tform.estimate(landmark5, self.src) + M = tform.params[0:2, :] + img = cv2.warpAffine(rimg, + M, (self.image_size[1], self.image_size[0]), + borderValue=0.0) + img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) + img_flip = np.fliplr(img) + img = np.transpose(img, (2, 0, 1)) # 3*112*112, RGB + img_flip = np.transpose(img_flip, (2, 0, 1)) + input_blob = np.zeros((2, 3, self.image_size[1], self.image_size[0]), dtype=np.uint8) + input_blob[0] = img + input_blob[1] = img_flip + return input_blob + + @torch.no_grad() + def forward_db(self, batch_data): + imgs = torch.Tensor(batch_data).cuda() + imgs.div_(255).sub_(0.5).div_(0.5) + feat = self.model(imgs) + feat = feat.reshape([self.batch_size, 2 * feat.shape[1]]) + return feat.cpu().numpy() + + +# 将一个list尽量均分成n份，限制len(list)==n，份数大于原list内元素个数则分配空list[] +def divideIntoNstrand(listTemp, n): + twoList = [[] for i in range(n)] + for i, e in enumerate(listTemp): + twoList[i % n].append(e) + return twoList + + +def read_template_media_list(path): + # ijb_meta = np.loadtxt(path, dtype=str) + ijb_meta = pd.read_csv(path, sep=' ', header=None).values + templates = ijb_meta[:, 1].astype(np.int) + medias = ijb_meta[:, 2].astype(np.int) + return templates, medias + + +# In[ ]: + + +def read_template_pair_list(path): + # pairs = np.loadtxt(path, dtype=str) + pairs = pd.read_csv(path, sep=' ', header=None).values + # print(pairs.shape) + # print(pairs[:, 0].astype(np.int)) + t1 = pairs[:, 0].astype(np.int) + t2 = pairs[:, 1].astype(np.int) + label = pairs[:, 2].astype(np.int) + return t1, t2, label + + +# In[ ]: + + +def read_image_feature(path): + with open(path, 'rb') as fid: + img_feats = pickle.load(fid) + return img_feats + + +# In[ ]: + + +def get_image_feature(img_path, files_list, model_path, epoch, gpu_id): + batch_size = args.batch_size + data_shape = (3, 112, 112) + + files = files_list + print('files:', len(files)) + rare_size = len(files) % batch_size + faceness_scores = [] + batch = 0 + img_feats = np.empty((len(files), 1024), dtype=np.float32) + + batch_data = np.empty((2 * batch_size, 3, 112, 112)) + embedding = Embedding(model_path, data_shape, batch_size) + for img_index, each_line in enumerate(files[:len(files) - rare_size]): + name_lmk_score = each_line.strip().split(' ') + img_name = os.path.join(img_path, name_lmk_score[0]) + img = cv2.imread(img_name) + lmk = np.array([float(x) for x in name_lmk_score[1:-1]], + dtype=np.float32) + lmk = lmk.reshape((5, 2)) + input_blob = embedding.get(img, lmk) + + batch_data[2 * (img_index - batch * batch_size)][:] = input_blob[0] + batch_data[2 * (img_index - batch * batch_size) + 1][:] = input_blob[1] + if (img_index + 1) % batch_size == 0: + print('batch', batch) + img_feats[batch * batch_size:batch * batch_size + + batch_size][:] = embedding.forward_db(batch_data) + batch += 1 + faceness_scores.append(name_lmk_score[-1]) + + batch_data = np.empty((2 * rare_size, 3, 112, 112)) + embedding = Embedding(model_path, data_shape, rare_size) + for img_index, each_line in enumerate(files[len(files) - rare_size:]): + name_lmk_score = each_line.strip().split(' ') + img_name = os.path.join(img_path, name_lmk_score[0]) + img = cv2.imread(img_name) + lmk = np.array([float(x) for x in name_lmk_score[1:-1]], + dtype=np.float32) + lmk = lmk.reshape((5, 2)) + input_blob = embedding.get(img, lmk) + batch_data[2 * img_index][:] = input_blob[0] + batch_data[2 * img_index + 1][:] = input_blob[1] + if (img_index + 1) % rare_size == 0: + print('batch', batch) + img_feats[len(files) - + rare_size:][:] = embedding.forward_db(batch_data) + batch += 1 + faceness_scores.append(name_lmk_score[-1]) + faceness_scores = np.array(faceness_scores).astype(np.float32) + # img_feats = np.ones( (len(files), 1024), dtype=np.float32) * 0.01 + # faceness_scores = np.ones( (len(files), ), dtype=np.float32 ) + return img_feats, faceness_scores + + +# In[ ]: + + +def image2template_feature(img_feats=None, templates=None, medias=None): + # ========================================================== + # 1. face image feature l2 normalization. img_feats:[number_image x feats_dim] + # 2. compute media feature. + # 3. compute template feature. + # ========================================================== + unique_templates = np.unique(templates) + template_feats = np.zeros((len(unique_templates), img_feats.shape[1])) + + for count_template, uqt in enumerate(unique_templates): + + (ind_t,) = np.where(templates == uqt) + face_norm_feats = img_feats[ind_t] + face_medias = medias[ind_t] + unique_medias, unique_media_counts = np.unique(face_medias, + return_counts=True) + media_norm_feats = [] + for u, ct in zip(unique_medias, unique_media_counts): + (ind_m,) = np.where(face_medias == u) + if ct == 1: + media_norm_feats += [face_norm_feats[ind_m]] + else: # image features from the same video will be aggregated into one feature + media_norm_feats += [ + np.mean(face_norm_feats[ind_m], axis=0, keepdims=True) + ] + media_norm_feats = np.array(media_norm_feats) + # media_norm_feats = media_norm_feats / np.sqrt(np.sum(media_norm_feats ** 2, -1, keepdims=True)) + template_feats[count_template] = np.sum(media_norm_feats, axis=0) + if count_template % 2000 == 0: + print('Finish Calculating {} template features.'.format( + count_template)) + # template_norm_feats = template_feats / np.sqrt(np.sum(template_feats ** 2, -1, keepdims=True)) + template_norm_feats = sklearn.preprocessing.normalize(template_feats) + # print(template_norm_feats.shape) + return template_norm_feats, unique_templates + + +# In[ ]: + + +def verification(template_norm_feats=None, + unique_templates=None, + p1=None, + p2=None): + # ========================================================== + # Compute set-to-set Similarity Score. + # ========================================================== + template2id = np.zeros((max(unique_templates) + 1, 1), dtype=int) + for count_template, uqt in enumerate(unique_templates): + template2id[uqt] = count_template + + score = np.zeros((len(p1),)) # save cosine distance between pairs + + total_pairs = np.array(range(len(p1))) + batchsize = 100000 # small batchsize instead of all pairs in one batch due to the memory limiation + sublists = [ + total_pairs[i:i + batchsize] for i in range(0, len(p1), batchsize) + ] + total_sublists = len(sublists) + for c, s in enumerate(sublists): + feat1 = template_norm_feats[template2id[p1[s]]] + feat2 = template_norm_feats[template2id[p2[s]]] + similarity_score = np.sum(feat1 * feat2, -1) + score[s] = similarity_score.flatten() + if c % 10 == 0: + print('Finish {}/{} pairs.'.format(c, total_sublists)) + return score + + +# In[ ]: +def verification2(template_norm_feats=None, + unique_templates=None, + p1=None, + p2=None): + template2id = np.zeros((max(unique_templates) + 1, 1), dtype=int) + for count_template, uqt in enumerate(unique_templates): + template2id[uqt] = count_template + score = np.zeros((len(p1),)) # save cosine distance between pairs + total_pairs = np.array(range(len(p1))) + batchsize = 100000 # small batchsize instead of all pairs in one batch due to the memory limiation + sublists = [ + total_pairs[i:i + batchsize] for i in range(0, len(p1), batchsize) + ] + total_sublists = len(sublists) + for c, s in enumerate(sublists): + feat1 = template_norm_feats[template2id[p1[s]]] + feat2 = template_norm_feats[template2id[p2[s]]] + similarity_score = np.sum(feat1 * feat2, -1) + score[s] = similarity_score.flatten() + if c % 10 == 0: + print('Finish {}/{} pairs.'.format(c, total_sublists)) + return score + + +def read_score(path): + with open(path, 'rb') as fid: + img_feats = pickle.load(fid) + return img_feats + + +# # Step1: Load Meta Data + +# In[ ]: + +assert target == 'IJBC' or target == 'IJBB' + +# ============================================================= +# load image and template relationships for template feature embedding +# tid --> template id, mid --> media id +# format: +# image_name tid mid +# ============================================================= +start = timeit.default_timer() +templates, medias = read_template_media_list( + os.path.join('%s/meta' % image_path, + '%s_face_tid_mid.txt' % target.lower())) +stop = timeit.default_timer() +print('Time: %.2f s. ' % (stop - start)) + +# In[ ]: + +# ============================================================= +# load template pairs for template-to-template verification +# tid : template id, label : 1/0 +# format: +# tid_1 tid_2 label +# ============================================================= +start = timeit.default_timer() +p1, p2, label = read_template_pair_list( + os.path.join('%s/meta' % image_path, + '%s_template_pair_label.txt' % target.lower())) +stop = timeit.default_timer() +print('Time: %.2f s. ' % (stop - start)) + +# # Step 2: Get Image Features + +# In[ ]: + +# ============================================================= +# load image features +# format: +# img_feats: [image_num x feats_dim] (227630, 512) +# ============================================================= +start = timeit.default_timer() +img_path = '%s/loose_crop' % image_path +img_list_path = '%s/meta/%s_name_5pts_score.txt' % (image_path, target.lower()) +img_list = open(img_list_path) +files = img_list.readlines() +# files_list = divideIntoNstrand(files, rank_size) +files_list = files + +# img_feats +# for i in range(rank_size): +img_feats, faceness_scores = get_image_feature(img_path, files_list, + model_path, 0, gpu_id) +stop = timeit.default_timer() +print('Time: %.2f s. ' % (stop - start)) +print('Feature Shape: ({} , {}) .'.format(img_feats.shape[0], + img_feats.shape[1])) + +# # Step3: Get Template Features + +# In[ ]: + +# ============================================================= +# compute template features from image features. +# ============================================================= +start = timeit.default_timer() +# ========================================================== +# Norm feature before aggregation into template feature? +# Feature norm from embedding network and faceness score are able to decrease weights for noise samples (not face). +# ========================================================== +# 1. FaceScore （Feature Norm） +# 2. FaceScore （Detector） + +if use_flip_test: + # concat --- F1 + # img_input_feats = img_feats + # add --- F2 + img_input_feats = img_feats[:, 0:img_feats.shape[1] // + 2] + img_feats[:, img_feats.shape[1] // 2:] +else: + img_input_feats = img_feats[:, 0:img_feats.shape[1] // 2] + +if use_norm_score: + img_input_feats = img_input_feats +else: + # normalise features to remove norm information + img_input_feats = img_input_feats / np.sqrt( + np.sum(img_input_feats ** 2, -1, keepdims=True)) + +if use_detector_score: + print(img_input_feats.shape, faceness_scores.shape) + img_input_feats = img_input_feats * faceness_scores[:, np.newaxis] +else: + img_input_feats = img_input_feats + +template_norm_feats, unique_templates = image2template_feature( + img_input_feats, templates, medias) +stop = timeit.default_timer() +print('Time: %.2f s. ' % (stop - start)) + +# # Step 4: Get Template Similarity Scores + +# In[ ]: + +# ============================================================= +# compute verification scores between template pairs. +# ============================================================= +start = timeit.default_timer() +score = verification(template_norm_feats, unique_templates, p1, p2) +stop = timeit.default_timer() +print('Time: %.2f s. ' % (stop - start)) + +# In[ ]: +save_path = os.path.join(result_dir, args.job) +# save_path = result_dir + '/%s_result' % target + +if not os.path.exists(save_path): + os.makedirs(save_path) + +score_save_file = os.path.join(save_path, "%s.npy" % target.lower()) +np.save(score_save_file, score) + +# # Step 5: Get ROC Curves and TPR@FPR Table + +# In[ ]: + +files = [score_save_file] +methods = [] +scores = [] +for file in files: + methods.append(Path(file).stem) + scores.append(np.load(file)) + +methods = np.array(methods) +scores = dict(zip(methods, scores)) +colours = dict( + zip(methods, sample_colours_from_colourmap(methods.shape[0], 'Set2'))) +x_labels = [10 ** -6, 10 ** -5, 10 ** -4, 10 ** -3, 10 ** -2, 10 ** -1] +tpr_fpr_table = PrettyTable(['Methods'] + [str(x) for x in x_labels]) +fig = plt.figure() +for method in methods: + fpr, tpr, _ = roc_curve(label, scores[method]) + roc_auc = auc(fpr, tpr) + fpr = np.flipud(fpr) + tpr = np.flipud(tpr) # select largest tpr at same fpr + plt.plot(fpr, + tpr, + color=colours[method], + lw=1, + label=('[%s (AUC = %0.4f %%)]' % + (method.split('-')[-1], roc_auc * 100))) + tpr_fpr_row = [] + tpr_fpr_row.append("%s-%s" % (method, target)) + for fpr_iter in np.arange(len(x_labels)): + _, min_index = min( + list(zip(abs(fpr - x_labels[fpr_iter]), range(len(fpr))))) + tpr_fpr_row.append('%.2f' % (tpr[min_index] * 100)) + tpr_fpr_table.add_row(tpr_fpr_row) +plt.xlim([10 ** -6, 0.1]) +plt.ylim([0.3, 1.0]) +plt.grid(linestyle='--', linewidth=1) +plt.xticks(x_labels) +plt.yticks(np.linspace(0.3, 1.0, 8, endpoint=True)) +plt.xscale('log') +plt.xlabel('False Positive Rate') +plt.ylabel('True Positive Rate') +plt.title('ROC on IJB') +plt.legend(loc="lower right") +fig.savefig(os.path.join(save_path, '%s.pdf' % target.lower())) +print(tpr_fpr_table) diff --git a/src/face3d/models/arcface_torch/inference.py b/src/face3d/models/arcface_torch/inference.py new file mode 100644 index 0000000000000000000000000000000000000000..3e5156e8d649954837e397c2ff15ec29995e7502 --- /dev/null +++ b/src/face3d/models/arcface_torch/inference.py @@ -0,0 +1,35 @@ +import argparse + +import cv2 +import numpy as np +import torch + +from backbones import get_model + + +@torch.no_grad() +def inference(weight, name, img): + if img is None: + img = np.random.randint(0, 255, size=(112, 112, 3), dtype=np.uint8) + else: + img = cv2.imread(img) + img = cv2.resize(img, (112, 112)) + + img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) + img = np.transpose(img, (2, 0, 1)) + img = torch.from_numpy(img).unsqueeze(0).float() + img.div_(255).sub_(0.5).div_(0.5) + net = get_model(name, fp16=False) + net.load_state_dict(torch.load(weight)) + net.eval() + feat = net(img).numpy() + print(feat) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description='PyTorch ArcFace Training') + parser.add_argument('--network', type=str, default='r50', help='backbone network') + parser.add_argument('--weight', type=str, default='') + parser.add_argument('--img', type=str, default=None) + args = parser.parse_args() + inference(args.weight, args.network, args.img) diff --git a/src/face3d/models/arcface_torch/losses.py b/src/face3d/models/arcface_torch/losses.py new file mode 100644 index 0000000000000000000000000000000000000000..87aeaa107af4d53f5a6132b3739d5cafdcded7fc --- /dev/null +++ b/src/face3d/models/arcface_torch/losses.py @@ -0,0 +1,42 @@ +import torch +from torch import nn + + +def get_loss(name): + if name == "cosface": + return CosFace() + elif name == "arcface": + return ArcFace() + else: + raise ValueError() + + +class CosFace(nn.Module): + def __init__(self, s=64.0, m=0.40): + super(CosFace, self).__init__() + self.s = s + self.m = m + + def forward(self, cosine, label): + index = torch.where(label != -1)[0] + m_hot = torch.zeros(index.size()[0], cosine.size()[1], device=cosine.device) + m_hot.scatter_(1, label[index, None], self.m) + cosine[index] -= m_hot + ret = cosine * self.s + return ret + + +class ArcFace(nn.Module): + def __init__(self, s=64.0, m=0.5): + super(ArcFace, self).__init__() + self.s = s + self.m = m + + def forward(self, cosine: torch.Tensor, label): + index = torch.where(label != -1)[0] + m_hot = torch.zeros(index.size()[0], cosine.size()[1], device=cosine.device) + m_hot.scatter_(1, label[index, None], self.m) + cosine.acos_() + cosine[index] += m_hot + cosine.cos_().mul_(self.s) + return cosine diff --git a/src/face3d/models/arcface_torch/onnx_helper.py b/src/face3d/models/arcface_torch/onnx_helper.py new file mode 100644 index 0000000000000000000000000000000000000000..ca922ca6d410655029e459cf8fd1c323d276c34c --- /dev/null +++ b/src/face3d/models/arcface_torch/onnx_helper.py @@ -0,0 +1,250 @@ +from __future__ import division +import datetime +import os +import os.path as osp +import glob +import numpy as np +import cv2 +import sys +import onnxruntime +import onnx +import argparse +from onnx import numpy_helper +from insightface.data import get_image + +class ArcFaceORT: + def __init__(self, model_path, cpu=False): + self.model_path = model_path + # providers = None will use available provider, for onnxruntime-gpu it will be "CUDAExecutionProvider" + self.providers = ['CPUExecutionProvider'] if cpu else None + + #input_size is (w,h), return error message, return None if success + def check(self, track='cfat', test_img = None): + #default is cfat + max_model_size_mb=1024 + max_feat_dim=512 + max_time_cost=15 + if track.startswith('ms1m'): + max_model_size_mb=1024 + max_feat_dim=512 + max_time_cost=10 + elif track.startswith('glint'): + max_model_size_mb=1024 + max_feat_dim=1024 + max_time_cost=20 + elif track.startswith('cfat'): + max_model_size_mb = 1024 + max_feat_dim = 512 + max_time_cost = 15 + elif track.startswith('unconstrained'): + max_model_size_mb=1024 + max_feat_dim=1024 + max_time_cost=30 + else: + return "track not found" + + if not os.path.exists(self.model_path): + return "model_path not exists" + if not os.path.isdir(self.model_path): + return "model_path should be directory" + onnx_files = [] + for _file in os.listdir(self.model_path): + if _file.endswith('.onnx'): + onnx_files.append(osp.join(self.model_path, _file)) + if len(onnx_files)==0: + return "do not have onnx files" + self.model_file = sorted(onnx_files)[-1] + print('use onnx-model:', self.model_file) + try: + session = onnxruntime.InferenceSession(self.model_file, providers=self.providers) + except: + return "load onnx failed" + input_cfg = session.get_inputs()[0] + input_shape = input_cfg.shape + print('input-shape:', input_shape) + if len(input_shape)!=4: + return "length of input_shape should be 4" + if not isinstance(input_shape[0], str): + #return "input_shape[0] should be str to support batch-inference" + print('reset input-shape[0] to None') + model = onnx.load(self.model_file) + model.graph.input[0].type.tensor_type.shape.dim[0].dim_param = 'None' + new_model_file = osp.join(self.model_path, 'zzzzrefined.onnx') + onnx.save(model, new_model_file) + self.model_file = new_model_file + print('use new onnx-model:', self.model_file) + try: + session = onnxruntime.InferenceSession(self.model_file, providers=self.providers) + except: + return "load onnx failed" + input_cfg = session.get_inputs()[0] + input_shape = input_cfg.shape + print('new-input-shape:', input_shape) + + self.image_size = tuple(input_shape[2:4][::-1]) + #print('image_size:', self.image_size) + input_name = input_cfg.name + outputs = session.get_outputs() + output_names = [] + for o in outputs: + output_names.append(o.name) + #print(o.name, o.shape) + if len(output_names)!=1: + return "number of output nodes should be 1" + self.session = session + self.input_name = input_name + self.output_names = output_names + #print(self.output_names) + model = onnx.load(self.model_file) + graph = model.graph + if len(graph.node)<8: + return "too small onnx graph" + + input_size = (112,112) + self.crop = None + if track=='cfat': + crop_file = osp.join(self.model_path, 'crop.txt') + if osp.exists(crop_file): + lines = open(crop_file,'r').readlines() + if len(lines)!=6: + return "crop.txt should contain 6 lines" + lines = [int(x) for x in lines] + self.crop = lines[:4] + input_size = tuple(lines[4:6]) + if input_size!=self.image_size: + return "input-size is inconsistant with onnx model input, %s vs %s"%(input_size, self.image_size) + + self.model_size_mb = os.path.getsize(self.model_file) / float(1024*1024) + if self.model_size_mb > max_model_size_mb: + return "max model size exceed, given %.3f-MB"%self.model_size_mb + + input_mean = None + input_std = None + if track=='cfat': + pn_file = osp.join(self.model_path, 'pixel_norm.txt') + if osp.exists(pn_file): + lines = open(pn_file,'r').readlines() + if len(lines)!=2: + return "pixel_norm.txt should contain 2 lines" + input_mean = float(lines[0]) + input_std = float(lines[1]) + if input_mean is not None or input_std is not None: + if input_mean is None or input_std is None: + return "please set input_mean and input_std simultaneously" + else: + find_sub = False + find_mul = False + for nid, node in enumerate(graph.node[:8]): + print(nid, node.name) + if node.name.startswith('Sub') or node.name.startswith('_minus'): + find_sub = True + if node.name.startswith('Mul') or node.name.startswith('_mul') or node.name.startswith('Div'): + find_mul = True + if find_sub and find_mul: + print("find sub and mul") + #mxnet arcface model + input_mean = 0.0 + input_std = 1.0 + else: + input_mean = 127.5 + input_std = 127.5 + self.input_mean = input_mean + self.input_std = input_std + for initn in graph.initializer: + weight_array = numpy_helper.to_array(initn) + dt = weight_array.dtype + if dt.itemsize<4: + return 'invalid weight type - (%s:%s)' % (initn.name, dt.name) + if test_img is None: + test_img = get_image('Tom_Hanks_54745') + test_img = cv2.resize(test_img, self.image_size) + else: + test_img = cv2.resize(test_img, self.image_size) + feat, cost = self.benchmark(test_img) + batch_result = self.check_batch(test_img) + batch_result_sum = float(np.sum(batch_result)) + if batch_result_sum in [float('inf'), -float('inf')] or batch_result_sum != batch_result_sum: + print(batch_result) + print(batch_result_sum) + return "batch result output contains NaN!" + + if len(feat.shape) < 2: + return "the shape of the feature must be two, but get {}".format(str(feat.shape)) + + if feat.shape[1] > max_feat_dim: + return "max feat dim exceed, given %d"%feat.shape[1] + self.feat_dim = feat.shape[1] + cost_ms = cost*1000 + if cost_ms>max_time_cost: + return "max time cost exceed, given %.4f"%cost_ms + self.cost_ms = cost_ms + print('check stat:, model-size-mb: %.4f, feat-dim: %d, time-cost-ms: %.4f, input-mean: %.3f, input-std: %.3f'%(self.model_size_mb, self.feat_dim, self.cost_ms, self.input_mean, self.input_std)) + return None + + def check_batch(self, img): + if not isinstance(img, list): + imgs = [img, ] * 32 + if self.crop is not None: + nimgs = [] + for img in imgs: + nimg = img[self.crop[1]:self.crop[3], self.crop[0]:self.crop[2], :] + if nimg.shape[0] != self.image_size[1] or nimg.shape[1] != self.image_size[0]: + nimg = cv2.resize(nimg, self.image_size) + nimgs.append(nimg) + imgs = nimgs + blob = cv2.dnn.blobFromImages( + images=imgs, scalefactor=1.0 / self.input_std, size=self.image_size, + mean=(self.input_mean, self.input_mean, self.input_mean), swapRB=True) + net_out = self.session.run(self.output_names, {self.input_name: blob})[0] + return net_out + + + def meta_info(self): + return {'model-size-mb':self.model_size_mb, 'feature-dim':self.feat_dim, 'infer': self.cost_ms} + + + def forward(self, imgs): + if not isinstance(imgs, list): + imgs = [imgs] + input_size = self.image_size + if self.crop is not None: + nimgs = [] + for img in imgs: + nimg = img[self.crop[1]:self.crop[3],self.crop[0]:self.crop[2],:] + if nimg.shape[0]!=input_size[1] or nimg.shape[1]!=input_size[0]: + nimg = cv2.resize(nimg, input_size) + nimgs.append(nimg) + imgs = nimgs + blob = cv2.dnn.blobFromImages(imgs, 1.0/self.input_std, input_size, (self.input_mean, self.input_mean, self.input_mean), swapRB=True) + net_out = self.session.run(self.output_names, {self.input_name : blob})[0] + return net_out + + def benchmark(self, img): + input_size = self.image_size + if self.crop is not None: + nimg = img[self.crop[1]:self.crop[3],self.crop[0]:self.crop[2],:] + if nimg.shape[0]!=input_size[1] or nimg.shape[1]!=input_size[0]: + nimg = cv2.resize(nimg, input_size) + img = nimg + blob = cv2.dnn.blobFromImage(img, 1.0/self.input_std, input_size, (self.input_mean, self.input_mean, self.input_mean), swapRB=True) + costs = [] + for _ in range(50): + ta = datetime.datetime.now() + net_out = self.session.run(self.output_names, {self.input_name : blob})[0] + tb = datetime.datetime.now() + cost = (tb-ta).total_seconds() + costs.append(cost) + costs = sorted(costs) + cost = costs[5] + return net_out, cost + + +if __name__ == '__main__': + parser = argparse.ArgumentParser(description='') + # general + parser.add_argument('workdir', help='submitted work dir', type=str) + parser.add_argument('--track', help='track name, for different challenge', type=str, default='cfat') + args = parser.parse_args() + handler = ArcFaceORT(args.workdir) + err = handler.check(args.track) + print('err:', err) diff --git a/src/face3d/models/arcface_torch/onnx_ijbc.py b/src/face3d/models/arcface_torch/onnx_ijbc.py new file mode 100644 index 0000000000000000000000000000000000000000..05b50bfad4b4cf38903b89f596263a8e29a50d3e --- /dev/null +++ b/src/face3d/models/arcface_torch/onnx_ijbc.py @@ -0,0 +1,267 @@ +import argparse +import os +import pickle +import timeit + +import cv2 +import mxnet as mx +import numpy as np +import pandas as pd +import prettytable +import skimage.transform +from sklearn.metrics import roc_curve +from sklearn.preprocessing import normalize + +from onnx_helper import ArcFaceORT + +SRC = np.array( + [ + [30.2946, 51.6963], + [65.5318, 51.5014], + [48.0252, 71.7366], + [33.5493, 92.3655], + [62.7299, 92.2041]] + , dtype=np.float32) +SRC[:, 0] += 8.0 + + +class AlignedDataSet(mx.gluon.data.Dataset): + def __init__(self, root, lines, align=True): + self.lines = lines + self.root = root + self.align = align + + def __len__(self): + return len(self.lines) + + def __getitem__(self, idx): + each_line = self.lines[idx] + name_lmk_score = each_line.strip().split(' ') + name = os.path.join(self.root, name_lmk_score[0]) + img = cv2.cvtColor(cv2.imread(name), cv2.COLOR_BGR2RGB) + landmark5 = np.array([float(x) for x in name_lmk_score[1:-1]], dtype=np.float32).reshape((5, 2)) + st = skimage.transform.SimilarityTransform() + st.estimate(landmark5, SRC) + img = cv2.warpAffine(img, st.params[0:2, :], (112, 112), borderValue=0.0) + img_1 = np.expand_dims(img, 0) + img_2 = np.expand_dims(np.fliplr(img), 0) + output = np.concatenate((img_1, img_2), axis=0).astype(np.float32) + output = np.transpose(output, (0, 3, 1, 2)) + output = mx.nd.array(output) + return output + + +def extract(model_root, dataset): + model = ArcFaceORT(model_path=model_root) + model.check() + feat_mat = np.zeros(shape=(len(dataset), 2 * model.feat_dim)) + + def batchify_fn(data): + return mx.nd.concat(*data, dim=0) + + data_loader = mx.gluon.data.DataLoader( + dataset, 128, last_batch='keep', num_workers=4, + thread_pool=True, prefetch=16, batchify_fn=batchify_fn) + num_iter = 0 + for batch in data_loader: + batch = batch.asnumpy() + batch = (batch - model.input_mean) / model.input_std + feat = model.session.run(model.output_names, {model.input_name: batch})[0] + feat = np.reshape(feat, (-1, model.feat_dim * 2)) + feat_mat[128 * num_iter: 128 * num_iter + feat.shape[0], :] = feat + num_iter += 1 + if num_iter % 50 == 0: + print(num_iter) + return feat_mat + + +def read_template_media_list(path): + ijb_meta = pd.read_csv(path, sep=' ', header=None).values + templates = ijb_meta[:, 1].astype(np.int) + medias = ijb_meta[:, 2].astype(np.int) + return templates, medias + + +def read_template_pair_list(path): + pairs = pd.read_csv(path, sep=' ', header=None).values + t1 = pairs[:, 0].astype(np.int) + t2 = pairs[:, 1].astype(np.int) + label = pairs[:, 2].astype(np.int) + return t1, t2, label + + +def read_image_feature(path): + with open(path, 'rb') as fid: + img_feats = pickle.load(fid) + return img_feats + + +def image2template_feature(img_feats=None, + templates=None, + medias=None): + unique_templates = np.unique(templates) + template_feats = np.zeros((len(unique_templates), img_feats.shape[1])) + for count_template, uqt in enumerate(unique_templates): + (ind_t,) = np.where(templates == uqt) + face_norm_feats = img_feats[ind_t] + face_medias = medias[ind_t] + unique_medias, unique_media_counts = np.unique(face_medias, return_counts=True) + media_norm_feats = [] + for u, ct in zip(unique_medias, unique_media_counts): + (ind_m,) = np.where(face_medias == u) + if ct == 1: + media_norm_feats += [face_norm_feats[ind_m]] + else: # image features from the same video will be aggregated into one feature + media_norm_feats += [np.mean(face_norm_feats[ind_m], axis=0, keepdims=True), ] + media_norm_feats = np.array(media_norm_feats) + template_feats[count_template] = np.sum(media_norm_feats, axis=0) + if count_template % 2000 == 0: + print('Finish Calculating {} template features.'.format( + count_template)) + template_norm_feats = normalize(template_feats) + return template_norm_feats, unique_templates + + +def verification(template_norm_feats=None, + unique_templates=None, + p1=None, + p2=None): + template2id = np.zeros((max(unique_templates) + 1, 1), dtype=int) + for count_template, uqt in enumerate(unique_templates): + template2id[uqt] = count_template + score = np.zeros((len(p1),)) + total_pairs = np.array(range(len(p1))) + batchsize = 100000 + sublists = [total_pairs[i: i + batchsize] for i in range(0, len(p1), batchsize)] + total_sublists = len(sublists) + for c, s in enumerate(sublists): + feat1 = template_norm_feats[template2id[p1[s]]] + feat2 = template_norm_feats[template2id[p2[s]]] + similarity_score = np.sum(feat1 * feat2, -1) + score[s] = similarity_score.flatten() + if c % 10 == 0: + print('Finish {}/{} pairs.'.format(c, total_sublists)) + return score + + +def verification2(template_norm_feats=None, + unique_templates=None, + p1=None, + p2=None): + template2id = np.zeros((max(unique_templates) + 1, 1), dtype=int) + for count_template, uqt in enumerate(unique_templates): + template2id[uqt] = count_template + score = np.zeros((len(p1),)) # save cosine distance between pairs + total_pairs = np.array(range(len(p1))) + batchsize = 100000 # small batchsize instead of all pairs in one batch due to the memory limiation + sublists = [total_pairs[i:i + batchsize] for i in range(0, len(p1), batchsize)] + total_sublists = len(sublists) + for c, s in enumerate(sublists): + feat1 = template_norm_feats[template2id[p1[s]]] + feat2 = template_norm_feats[template2id[p2[s]]] + similarity_score = np.sum(feat1 * feat2, -1) + score[s] = similarity_score.flatten() + if c % 10 == 0: + print('Finish {}/{} pairs.'.format(c, total_sublists)) + return score + + +def main(args): + use_norm_score = True # if Ture, TestMode(N1) + use_detector_score = True # if Ture, TestMode(D1) + use_flip_test = True # if Ture, TestMode(F1) + assert args.target == 'IJBC' or args.target == 'IJBB' + + start = timeit.default_timer() + templates, medias = read_template_media_list( + os.path.join('%s/meta' % args.image_path, '%s_face_tid_mid.txt' % args.target.lower())) + stop = timeit.default_timer() + print('Time: %.2f s. ' % (stop - start)) + + start = timeit.default_timer() + p1, p2, label = read_template_pair_list( + os.path.join('%s/meta' % args.image_path, + '%s_template_pair_label.txt' % args.target.lower())) + stop = timeit.default_timer() + print('Time: %.2f s. ' % (stop - start)) + + start = timeit.default_timer() + img_path = '%s/loose_crop' % args.image_path + img_list_path = '%s/meta/%s_name_5pts_score.txt' % (args.image_path, args.target.lower()) + img_list = open(img_list_path) + files = img_list.readlines() + dataset = AlignedDataSet(root=img_path, lines=files, align=True) + img_feats = extract(args.model_root, dataset) + + faceness_scores = [] + for each_line in files: + name_lmk_score = each_line.split() + faceness_scores.append(name_lmk_score[-1]) + faceness_scores = np.array(faceness_scores).astype(np.float32) + stop = timeit.default_timer() + print('Time: %.2f s. ' % (stop - start)) + print('Feature Shape: ({} , {}) .'.format(img_feats.shape[0], img_feats.shape[1])) + start = timeit.default_timer() + + if use_flip_test: + img_input_feats = img_feats[:, 0:img_feats.shape[1] // 2] + img_feats[:, img_feats.shape[1] // 2:] + else: + img_input_feats = img_feats[:, 0:img_feats.shape[1] // 2] + + if use_norm_score: + img_input_feats = img_input_feats + else: + img_input_feats = img_input_feats / np.sqrt(np.sum(img_input_feats ** 2, -1, keepdims=True)) + + if use_detector_score: + print(img_input_feats.shape, faceness_scores.shape) + img_input_feats = img_input_feats * faceness_scores[:, np.newaxis] + else: + img_input_feats = img_input_feats + + template_norm_feats, unique_templates = image2template_feature( + img_input_feats, templates, medias) + stop = timeit.default_timer() + print('Time: %.2f s. ' % (stop - start)) + + start = timeit.default_timer() + score = verification(template_norm_feats, unique_templates, p1, p2) + stop = timeit.default_timer() + print('Time: %.2f s. ' % (stop - start)) + save_path = os.path.join(args.result_dir, "{}_result".format(args.target)) + if not os.path.exists(save_path): + os.makedirs(save_path) + score_save_file = os.path.join(save_path, "{}.npy".format(args.model_root)) + np.save(score_save_file, score) + files = [score_save_file] + methods = [] + scores = [] + for file in files: + methods.append(os.path.basename(file)) + scores.append(np.load(file)) + methods = np.array(methods) + scores = dict(zip(methods, scores)) + x_labels = [10 ** -6, 10 ** -5, 10 ** -4, 10 ** -3, 10 ** -2, 10 ** -1] + tpr_fpr_table = prettytable.PrettyTable(['Methods'] + [str(x) for x in x_labels]) + for method in methods: + fpr, tpr, _ = roc_curve(label, scores[method]) + fpr = np.flipud(fpr) + tpr = np.flipud(tpr) + tpr_fpr_row = [] + tpr_fpr_row.append("%s-%s" % (method, args.target)) + for fpr_iter in np.arange(len(x_labels)): + _, min_index = min( + list(zip(abs(fpr - x_labels[fpr_iter]), range(len(fpr))))) + tpr_fpr_row.append('%.2f' % (tpr[min_index] * 100)) + tpr_fpr_table.add_row(tpr_fpr_row) + print(tpr_fpr_table) + + +if __name__ == '__main__': + parser = argparse.ArgumentParser(description='do ijb test') + # general + parser.add_argument('--model-root', default='', help='path to load model.') + parser.add_argument('--image-path', default='', type=str, help='') + parser.add_argument('--result-dir', default='.', type=str, help='') + parser.add_argument('--target', default='IJBC', type=str, help='target, set to IJBC or IJBB') + main(parser.parse_args()) diff --git a/src/face3d/models/arcface_torch/partial_fc.py b/src/face3d/models/arcface_torch/partial_fc.py new file mode 100644 index 0000000000000000000000000000000000000000..17e2d25715d10ba446c957e1d2528b0687ed71d5 --- /dev/null +++ b/src/face3d/models/arcface_torch/partial_fc.py @@ -0,0 +1,222 @@ +import logging +import os + +import torch +import torch.distributed as dist +from torch.nn import Module +from torch.nn.functional import normalize, linear +from torch.nn.parameter import Parameter + + +class PartialFC(Module): + """ + Author: {Xiang An, Yang Xiao, XuHan Zhu} in DeepGlint, + Partial FC: Training 10 Million Identities on a Single Machine + See the original paper: + https://arxiv.org/abs/2010.05222 + """ + + @torch.no_grad() + def __init__(self, rank, local_rank, world_size, batch_size, resume, + margin_softmax, num_classes, sample_rate=1.0, embedding_size=512, prefix="./"): + """ + rank: int + Unique process(GPU) ID from 0 to world_size - 1. + local_rank: int + Unique process(GPU) ID within the server from 0 to 7. + world_size: int + Number of GPU. + batch_size: int + Batch size on current rank(GPU). + resume: bool + Select whether to restore the weight of softmax. + margin_softmax: callable + A function of margin softmax, eg: cosface, arcface. + num_classes: int + The number of class center storage in current rank(CPU/GPU), usually is total_classes // world_size, + required. + sample_rate: float + The partial fc sampling rate, when the number of classes increases to more than 2 millions, Sampling + can greatly speed up training, and reduce a lot of GPU memory, default is 1.0. + embedding_size: int + The feature dimension, default is 512. + prefix: str + Path for save checkpoint, default is './'. + """ + super(PartialFC, self).__init__() + # + self.num_classes: int = num_classes + self.rank: int = rank + self.local_rank: int = local_rank + self.device: torch.device = torch.device("cuda:{}".format(self.local_rank)) + self.world_size: int = world_size + self.batch_size: int = batch_size + self.margin_softmax: callable = margin_softmax + self.sample_rate: float = sample_rate + self.embedding_size: int = embedding_size + self.prefix: str = prefix + self.num_local: int = num_classes // world_size + int(rank < num_classes % world_size) + self.class_start: int = num_classes // world_size * rank + min(rank, num_classes % world_size) + self.num_sample: int = int(self.sample_rate * self.num_local) + + self.weight_name = os.path.join(self.prefix, "rank_{}_softmax_weight.pt".format(self.rank)) + self.weight_mom_name = os.path.join(self.prefix, "rank_{}_softmax_weight_mom.pt".format(self.rank)) + + if resume: + try: + self.weight: torch.Tensor = torch.load(self.weight_name) + self.weight_mom: torch.Tensor = torch.load(self.weight_mom_name) + if self.weight.shape[0] != self.num_local or self.weight_mom.shape[0] != self.num_local: + raise IndexError + logging.info("softmax weight resume successfully!") + logging.info("softmax weight mom resume successfully!") + except (FileNotFoundError, KeyError, IndexError): + self.weight = torch.normal(0, 0.01, (self.num_local, self.embedding_size), device=self.device) + self.weight_mom: torch.Tensor = torch.zeros_like(self.weight) + logging.info("softmax weight init!") + logging.info("softmax weight mom init!") + else: + self.weight = torch.normal(0, 0.01, (self.num_local, self.embedding_size), device=self.device) + self.weight_mom: torch.Tensor = torch.zeros_like(self.weight) + logging.info("softmax weight init successfully!") + logging.info("softmax weight mom init successfully!") + self.stream: torch.cuda.Stream = torch.cuda.Stream(local_rank) + + self.index = None + if int(self.sample_rate) == 1: + self.update = lambda: 0 + self.sub_weight = Parameter(self.weight) + self.sub_weight_mom = self.weight_mom + else: + self.sub_weight = Parameter(torch.empty((0, 0)).cuda(local_rank)) + + def save_params(self): + """ Save softmax weight for each rank on prefix + """ + torch.save(self.weight.data, self.weight_name) + torch.save(self.weight_mom, self.weight_mom_name) + + @torch.no_grad() + def sample(self, total_label): + """ + Sample all positive class centers in each rank, and random select neg class centers to filling a fixed + `num_sample`. + + total_label: tensor + Label after all gather, which cross all GPUs. + """ + index_positive = (self.class_start <= total_label) & (total_label < self.class_start + self.num_local) + total_label[~index_positive] = -1 + total_label[index_positive] -= self.class_start + if int(self.sample_rate) != 1: + positive = torch.unique(total_label[index_positive], sorted=True) + if self.num_sample - positive.size(0) >= 0: + perm = torch.rand(size=[self.num_local], device=self.device) + perm[positive] = 2.0 + index = torch.topk(perm, k=self.num_sample)[1] + index = index.sort()[0] + else: + index = positive + self.index = index + total_label[index_positive] = torch.searchsorted(index, total_label[index_positive]) + self.sub_weight = Parameter(self.weight[index]) + self.sub_weight_mom = self.weight_mom[index] + + def forward(self, total_features, norm_weight): + """ Partial fc forward, `logits = X * sample(W)` + """ + torch.cuda.current_stream().wait_stream(self.stream) + logits = linear(total_features, norm_weight) + return logits + + @torch.no_grad() + def update(self): + """ Set updated weight and weight_mom to memory bank. + """ + self.weight_mom[self.index] = self.sub_weight_mom + self.weight[self.index] = self.sub_weight + + def prepare(self, label, optimizer): + """ + get sampled class centers for cal softmax. + + label: tensor + Label tensor on each rank. + optimizer: opt + Optimizer for partial fc, which need to get weight mom. + """ + with torch.cuda.stream(self.stream): + total_label = torch.zeros( + size=[self.batch_size * self.world_size], device=self.device, dtype=torch.long) + dist.all_gather(list(total_label.chunk(self.world_size, dim=0)), label) + self.sample(total_label) + optimizer.state.pop(optimizer.param_groups[-1]['params'][0], None) + optimizer.param_groups[-1]['params'][0] = self.sub_weight + optimizer.state[self.sub_weight]['momentum_buffer'] = self.sub_weight_mom + norm_weight = normalize(self.sub_weight) + return total_label, norm_weight + + def forward_backward(self, label, features, optimizer): + """ + Partial fc forward and backward with model parallel + + label: tensor + Label tensor on each rank(GPU) + features: tensor + Features tensor on each rank(GPU) + optimizer: optimizer + Optimizer for partial fc + + Returns: + -------- + x_grad: tensor + The gradient of features. + loss_v: tensor + Loss value for cross entropy. + """ + total_label, norm_weight = self.prepare(label, optimizer) + total_features = torch.zeros( + size=[self.batch_size * self.world_size, self.embedding_size], device=self.device) + dist.all_gather(list(total_features.chunk(self.world_size, dim=0)), features.data) + total_features.requires_grad = True + + logits = self.forward(total_features, norm_weight) + logits = self.margin_softmax(logits, total_label) + + with torch.no_grad(): + max_fc = torch.max(logits, dim=1, keepdim=True)[0] + dist.all_reduce(max_fc, dist.ReduceOp.MAX) + + # calculate exp(logits) and all-reduce + logits_exp = torch.exp(logits - max_fc) + logits_sum_exp = logits_exp.sum(dim=1, keepdims=True) + dist.all_reduce(logits_sum_exp, dist.ReduceOp.SUM) + + # calculate prob + logits_exp.div_(logits_sum_exp) + + # get one-hot + grad = logits_exp + index = torch.where(total_label != -1)[0] + one_hot = torch.zeros(size=[index.size()[0], grad.size()[1]], device=grad.device) + one_hot.scatter_(1, total_label[index, None], 1) + + # calculate loss + loss = torch.zeros(grad.size()[0], 1, device=grad.device) + loss[index] = grad[index].gather(1, total_label[index, None]) + dist.all_reduce(loss, dist.ReduceOp.SUM) + loss_v = loss.clamp_min_(1e-30).log_().mean() * (-1) + + # calculate grad + grad[index] -= one_hot + grad.div_(self.batch_size * self.world_size) + + logits.backward(grad) + if total_features.grad is not None: + total_features.grad.detach_() + x_grad: torch.Tensor = torch.zeros_like(features, requires_grad=True) + # feature gradient all-reduce + dist.reduce_scatter(x_grad, list(total_features.grad.chunk(self.world_size, dim=0))) + x_grad = x_grad * self.world_size + # backward backbone + return x_grad, loss_v diff --git a/src/face3d/models/arcface_torch/requirement.txt b/src/face3d/models/arcface_torch/requirement.txt new file mode 100644 index 0000000000000000000000000000000000000000..f72c1b3ba814ae1e0bc1c1f56402026978b9e870 --- /dev/null +++ b/src/face3d/models/arcface_torch/requirement.txt @@ -0,0 +1,5 @@ +tensorboard +easydict +mxnet +onnx +sklearn diff --git a/src/face3d/models/arcface_torch/run.sh b/src/face3d/models/arcface_torch/run.sh new file mode 100644 index 0000000000000000000000000000000000000000..61af4b4950eb11334e55362e3e3c5e2796979a01 --- /dev/null +++ b/src/face3d/models/arcface_torch/run.sh @@ -0,0 +1,2 @@ +CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 python -m torch.distributed.launch --nproc_per_node=8 --nnodes=1 --node_rank=0 --master_addr="127.0.0.1" --master_port=1234 train.py configs/ms1mv3_r50 +ps -ef | grep "train" | grep -v grep | awk '{print "kill -9 "$2}' | sh diff --git a/src/face3d/models/arcface_torch/torch2onnx.py b/src/face3d/models/arcface_torch/torch2onnx.py new file mode 100644 index 0000000000000000000000000000000000000000..fc26ab82e552331bc8d75b34e81000418f4d38ec --- /dev/null +++ b/src/face3d/models/arcface_torch/torch2onnx.py @@ -0,0 +1,59 @@ +import numpy as np +import onnx +import torch + + +def convert_onnx(net, path_module, output, opset=11, simplify=False): + assert isinstance(net, torch.nn.Module) + img = np.random.randint(0, 255, size=(112, 112, 3), dtype=np.int32) + img = img.astype(np.float) + img = (img / 255. - 0.5) / 0.5 # torch style norm + img = img.transpose((2, 0, 1)) + img = torch.from_numpy(img).unsqueeze(0).float() + + weight = torch.load(path_module) + net.load_state_dict(weight) + net.eval() + torch.onnx.export(net, img, output, keep_initializers_as_inputs=False, verbose=False, opset_version=opset) + model = onnx.load(output) + graph = model.graph + graph.input[0].type.tensor_type.shape.dim[0].dim_param = 'None' + if simplify: + from onnxsim import simplify + model, check = simplify(model) + assert check, "Simplified ONNX model could not be validated" + onnx.save(model, output) + + +if __name__ == '__main__': + import os + import argparse + from backbones import get_model + + parser = argparse.ArgumentParser(description='ArcFace PyTorch to onnx') + parser.add_argument('input', type=str, help='input backbone.pth file or path') + parser.add_argument('--output', type=str, default=None, help='output onnx path') + parser.add_argument('--network', type=str, default=None, help='backbone network') + parser.add_argument('--simplify', type=bool, default=False, help='onnx simplify') + args = parser.parse_args() + input_file = args.input + if os.path.isdir(input_file): + input_file = os.path.join(input_file, "backbone.pth") + assert os.path.exists(input_file) + model_name = os.path.basename(os.path.dirname(input_file)).lower() + params = model_name.split("_") + if len(params) >= 3 and params[1] in ('arcface', 'cosface'): + if args.network is None: + args.network = params[2] + assert args.network is not None + print(args) + backbone_onnx = get_model(args.network, dropout=0) + + output_path = args.output + if output_path is None: + output_path = os.path.join(os.path.dirname(__file__), 'onnx') + if not os.path.exists(output_path): + os.makedirs(output_path) + assert os.path.isdir(output_path) + output_file = os.path.join(output_path, "%s.onnx" % model_name) + convert_onnx(backbone_onnx, input_file, output_file, simplify=args.simplify) diff --git a/src/face3d/models/arcface_torch/train.py b/src/face3d/models/arcface_torch/train.py new file mode 100644 index 0000000000000000000000000000000000000000..55eca2d0ad9463415970e09bccab8b722e496704 --- /dev/null +++ b/src/face3d/models/arcface_torch/train.py @@ -0,0 +1,141 @@ +import argparse +import logging +import os + +import torch +import torch.distributed as dist +import torch.nn.functional as F +import torch.utils.data.distributed +from torch.nn.utils import clip_grad_norm_ + +import losses +from backbones import get_model +from dataset import MXFaceDataset, SyntheticDataset, DataLoaderX +from partial_fc import PartialFC +from utils.utils_amp import MaxClipGradScaler +from utils.utils_callbacks import CallBackVerification, CallBackLogging, CallBackModelCheckpoint +from utils.utils_config import get_config +from utils.utils_logging import AverageMeter, init_logging + + +def main(args): + cfg = get_config(args.config) + try: + world_size = int(os.environ['WORLD_SIZE']) + rank = int(os.environ['RANK']) + dist.init_process_group('nccl') + except KeyError: + world_size = 1 + rank = 0 + dist.init_process_group(backend='nccl', init_method="tcp://127.0.0.1:12584", rank=rank, world_size=world_size) + + local_rank = args.local_rank + torch.cuda.set_device(local_rank) + os.makedirs(cfg.output, exist_ok=True) + init_logging(rank, cfg.output) + + if cfg.rec == "synthetic": + train_set = SyntheticDataset(local_rank=local_rank) + else: + train_set = MXFaceDataset(root_dir=cfg.rec, local_rank=local_rank) + + train_sampler = torch.utils.data.distributed.DistributedSampler(train_set, shuffle=True) + train_loader = DataLoaderX( + local_rank=local_rank, dataset=train_set, batch_size=cfg.batch_size, + sampler=train_sampler, num_workers=2, pin_memory=True, drop_last=True) + backbone = get_model(cfg.network, dropout=0.0, fp16=cfg.fp16, num_features=cfg.embedding_size).to(local_rank) + + if cfg.resume: + try: + backbone_pth = os.path.join(cfg.output, "backbone.pth") + backbone.load_state_dict(torch.load(backbone_pth, map_location=torch.device(local_rank))) + if rank == 0: + logging.info("backbone resume successfully!") + except (FileNotFoundError, KeyError, IndexError, RuntimeError): + if rank == 0: + logging.info("resume fail, backbone init successfully!") + + backbone = torch.nn.parallel.DistributedDataParallel( + module=backbone, broadcast_buffers=False, device_ids=[local_rank]) + backbone.train() + margin_softmax = losses.get_loss(cfg.loss) + module_partial_fc = PartialFC( + rank=rank, local_rank=local_rank, world_size=world_size, resume=cfg.resume, + batch_size=cfg.batch_size, margin_softmax=margin_softmax, num_classes=cfg.num_classes, + sample_rate=cfg.sample_rate, embedding_size=cfg.embedding_size, prefix=cfg.output) + + opt_backbone = torch.optim.SGD( + params=[{'params': backbone.parameters()}], + lr=cfg.lr / 512 * cfg.batch_size * world_size, + momentum=0.9, weight_decay=cfg.weight_decay) + opt_pfc = torch.optim.SGD( + params=[{'params': module_partial_fc.parameters()}], + lr=cfg.lr / 512 * cfg.batch_size * world_size, + momentum=0.9, weight_decay=cfg.weight_decay) + + num_image = len(train_set) + total_batch_size = cfg.batch_size * world_size + cfg.warmup_step = num_image // total_batch_size * cfg.warmup_epoch + cfg.total_step = num_image // total_batch_size * cfg.num_epoch + + def lr_step_func(current_step): + cfg.decay_step = [x * num_image // total_batch_size for x in cfg.decay_epoch] + if current_step < cfg.warmup_step: + return current_step / cfg.warmup_step + else: + return 0.1 ** len([m for m in cfg.decay_step if m <= current_step]) + + scheduler_backbone = torch.optim.lr_scheduler.LambdaLR( + optimizer=opt_backbone, lr_lambda=lr_step_func) + scheduler_pfc = torch.optim.lr_scheduler.LambdaLR( + optimizer=opt_pfc, lr_lambda=lr_step_func) + + for key, value in cfg.items(): + num_space = 25 - len(key) + logging.info(": " + key + " " * num_space + str(value)) + + val_target = cfg.val_targets + callback_verification = CallBackVerification(2000, rank, val_target, cfg.rec) + callback_logging = CallBackLogging(50, rank, cfg.total_step, cfg.batch_size, world_size, None) + callback_checkpoint = CallBackModelCheckpoint(rank, cfg.output) + + loss = AverageMeter() + start_epoch = 0 + global_step = 0 + grad_amp = MaxClipGradScaler(cfg.batch_size, 128 * cfg.batch_size, growth_interval=100) if cfg.fp16 else None + for epoch in range(start_epoch, cfg.num_epoch): + train_sampler.set_epoch(epoch) + for step, (img, label) in enumerate(train_loader): + global_step += 1 + features = F.normalize(backbone(img)) + x_grad, loss_v = module_partial_fc.forward_backward(label, features, opt_pfc) + if cfg.fp16: + features.backward(grad_amp.scale(x_grad)) + grad_amp.unscale_(opt_backbone) + clip_grad_norm_(backbone.parameters(), max_norm=5, norm_type=2) + grad_amp.step(opt_backbone) + grad_amp.update() + else: + features.backward(x_grad) + clip_grad_norm_(backbone.parameters(), max_norm=5, norm_type=2) + opt_backbone.step() + + opt_pfc.step() + module_partial_fc.update() + opt_backbone.zero_grad() + opt_pfc.zero_grad() + loss.update(loss_v, 1) + callback_logging(global_step, loss, epoch, cfg.fp16, scheduler_backbone.get_last_lr()[0], grad_amp) + callback_verification(global_step, backbone) + scheduler_backbone.step() + scheduler_pfc.step() + callback_checkpoint(global_step, backbone, module_partial_fc) + dist.destroy_process_group() + + +if __name__ == "__main__": + torch.backends.cudnn.benchmark = True + parser = argparse.ArgumentParser(description='PyTorch ArcFace Training') + parser.add_argument('config', type=str, help='py config file') + parser.add_argument('--local_rank', type=int, default=0, help='local_rank') + main(parser.parse_args()) diff --git a/src/face3d/models/arcface_torch/utils/__init__.py b/src/face3d/models/arcface_torch/utils/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/src/face3d/models/arcface_torch/utils/plot.py b/src/face3d/models/arcface_torch/utils/plot.py new file mode 100644 index 0000000000000000000000000000000000000000..ccc588e5c01ca550b69c385aeb3fd139c59fb88a --- /dev/null +++ b/src/face3d/models/arcface_torch/utils/plot.py @@ -0,0 +1,72 @@ +# coding: utf-8 + +import os +from pathlib import Path + +import matplotlib.pyplot as plt +import numpy as np +import pandas as pd +from menpo.visualize.viewmatplotlib import sample_colours_from_colourmap +from prettytable import PrettyTable +from sklearn.metrics import roc_curve, auc + +image_path = "/data/anxiang/IJB_release/IJBC" +files = [ + "./ms1mv3_arcface_r100/ms1mv3_arcface_r100/ijbc.npy" +] + + +def read_template_pair_list(path): + pairs = pd.read_csv(path, sep=' ', header=None).values + t1 = pairs[:, 0].astype(np.int) + t2 = pairs[:, 1].astype(np.int) + label = pairs[:, 2].astype(np.int) + return t1, t2, label + + +p1, p2, label = read_template_pair_list( + os.path.join('%s/meta' % image_path, + '%s_template_pair_label.txt' % 'ijbc')) + +methods = [] +scores = [] +for file in files: + methods.append(file.split('/')[-2]) + scores.append(np.load(file)) + +methods = np.array(methods) +scores = dict(zip(methods, scores)) +colours = dict( + zip(methods, sample_colours_from_colourmap(methods.shape[0], 'Set2'))) +x_labels = [10 ** -6, 10 ** -5, 10 ** -4, 10 ** -3, 10 ** -2, 10 ** -1] +tpr_fpr_table = PrettyTable(['Methods'] + [str(x) for x in x_labels]) +fig = plt.figure() +for method in methods: + fpr, tpr, _ = roc_curve(label, scores[method]) + roc_auc = auc(fpr, tpr) + fpr = np.flipud(fpr) + tpr = np.flipud(tpr) # select largest tpr at same fpr + plt.plot(fpr, + tpr, + color=colours[method], + lw=1, + label=('[%s (AUC = %0.4f %%)]' % + (method.split('-')[-1], roc_auc * 100))) + tpr_fpr_row = [] + tpr_fpr_row.append("%s-%s" % (method, "IJBC")) + for fpr_iter in np.arange(len(x_labels)): + _, min_index = min( + list(zip(abs(fpr - x_labels[fpr_iter]), range(len(fpr))))) + tpr_fpr_row.append('%.2f' % (tpr[min_index] * 100)) + tpr_fpr_table.add_row(tpr_fpr_row) +plt.xlim([10 ** -6, 0.1]) +plt.ylim([0.3, 1.0]) +plt.grid(linestyle='--', linewidth=1) +plt.xticks(x_labels) +plt.yticks(np.linspace(0.3, 1.0, 8, endpoint=True)) +plt.xscale('log') +plt.xlabel('False Positive Rate') +plt.ylabel('True Positive Rate') +plt.title('ROC on IJB') +plt.legend(loc="lower right") +print(tpr_fpr_table) diff --git a/src/face3d/models/arcface_torch/utils/utils_amp.py b/src/face3d/models/arcface_torch/utils/utils_amp.py new file mode 100644 index 0000000000000000000000000000000000000000..9ac2a03f4212faa129faed447a8f4519c0a00a8b --- /dev/null +++ b/src/face3d/models/arcface_torch/utils/utils_amp.py @@ -0,0 +1,88 @@ +from typing import Dict, List + +import torch + +if torch.__version__ < '1.9': + Iterable = torch._six.container_abcs.Iterable +else: + import collections + + Iterable = collections.abc.Iterable +from torch.cuda.amp import GradScaler + + +class _MultiDeviceReplicator(object): + """ + Lazily serves copies of a tensor to requested devices. Copies are cached per-device. + """ + + def __init__(self, master_tensor: torch.Tensor) -> None: + assert master_tensor.is_cuda + self.master = master_tensor + self._per_device_tensors: Dict[torch.device, torch.Tensor] = {} + + def get(self, device) -> torch.Tensor: + retval = self._per_device_tensors.get(device, None) + if retval is None: + retval = self.master.to(device=device, non_blocking=True, copy=True) + self._per_device_tensors[device] = retval + return retval + + +class MaxClipGradScaler(GradScaler): + def __init__(self, init_scale, max_scale: float, growth_interval=100): + GradScaler.__init__(self, init_scale=init_scale, growth_interval=growth_interval) + self.max_scale = max_scale + + def scale_clip(self): + if self.get_scale() == self.max_scale: + self.set_growth_factor(1) + elif self.get_scale() < self.max_scale: + self.set_growth_factor(2) + elif self.get_scale() > self.max_scale: + self._scale.fill_(self.max_scale) + self.set_growth_factor(1) + + def scale(self, outputs): + """ + Multiplies ('scales') a tensor or list of tensors by the scale factor. + + Returns scaled outputs. If this instance of :class:`GradScaler` is not enabled, outputs are returned + unmodified. + + Arguments: + outputs (Tensor or iterable of Tensors): Outputs to scale. + """ + if not self._enabled: + return outputs + self.scale_clip() + # Short-circuit for the common case. + if isinstance(outputs, torch.Tensor): + assert outputs.is_cuda + if self._scale is None: + self._lazy_init_scale_growth_tracker(outputs.device) + assert self._scale is not None + return outputs * self._scale.to(device=outputs.device, non_blocking=True) + + # Invoke the more complex machinery only if we're treating multiple outputs. + stash: List[_MultiDeviceReplicator] = [] # holds a reference that can be overwritten by apply_scale + + def apply_scale(val): + if isinstance(val, torch.Tensor): + assert val.is_cuda + if len(stash) == 0: + if self._scale is None: + self._lazy_init_scale_growth_tracker(val.device) + assert self._scale is not None + stash.append(_MultiDeviceReplicator(self._scale)) + return val * stash[0].get(val.device) + elif isinstance(val, Iterable): + iterable = map(apply_scale, val) + if isinstance(val, list) or isinstance(val, tuple): + return type(val)(iterable) + else: + return iterable + else: + raise ValueError("outputs must be a Tensor or an iterable of Tensors") + + return apply_scale(outputs) diff --git a/src/face3d/models/arcface_torch/utils/utils_callbacks.py b/src/face3d/models/arcface_torch/utils/utils_callbacks.py new file mode 100644 index 0000000000000000000000000000000000000000..bd2f56cba47c57de102710ff56eaac591e59f4da --- /dev/null +++ b/src/face3d/models/arcface_torch/utils/utils_callbacks.py @@ -0,0 +1,117 @@ +import logging +import os +import time +from typing import List + +import torch + +from eval import verification +from utils.utils_logging import AverageMeter + + +class CallBackVerification(object): + def __init__(self, frequent, rank, val_targets, rec_prefix, image_size=(112, 112)): + self.frequent: int = frequent + self.rank: int = rank + self.highest_acc: float = 0.0 + self.highest_acc_list: List[float] = [0.0] * len(val_targets) + self.ver_list: List[object] = [] + self.ver_name_list: List[str] = [] + if self.rank is 0: + self.init_dataset(val_targets=val_targets, data_dir=rec_prefix, image_size=image_size) + + def ver_test(self, backbone: torch.nn.Module, global_step: int): + results = [] + for i in range(len(self.ver_list)): + acc1, std1, acc2, std2, xnorm, embeddings_list = verification.test( + self.ver_list[i], backbone, 10, 10) + logging.info('[%s][%d]XNorm: %f' % (self.ver_name_list[i], global_step, xnorm)) + logging.info('[%s][%d]Accuracy-Flip: %1.5f+-%1.5f' % (self.ver_name_list[i], global_step, acc2, std2)) + if acc2 > self.highest_acc_list[i]: + self.highest_acc_list[i] = acc2 + logging.info( + '[%s][%d]Accuracy-Highest: %1.5f' % (self.ver_name_list[i], global_step, self.highest_acc_list[i])) + results.append(acc2) + + def init_dataset(self, val_targets, data_dir, image_size): + for name in val_targets: + path = os.path.join(data_dir, name + ".bin") + if os.path.exists(path): + data_set = verification.load_bin(path, image_size) + self.ver_list.append(data_set) + self.ver_name_list.append(name) + + def __call__(self, num_update, backbone: torch.nn.Module): + if self.rank is 0 and num_update > 0 and num_update % self.frequent == 0: + backbone.eval() + self.ver_test(backbone, num_update) + backbone.train() + + +class CallBackLogging(object): + def __init__(self, frequent, rank, total_step, batch_size, world_size, writer=None): + self.frequent: int = frequent + self.rank: int = rank + self.time_start = time.time() + self.total_step: int = total_step + self.batch_size: int = batch_size + self.world_size: int = world_size + self.writer = writer + + self.init = False + self.tic = 0 + + def __call__(self, + global_step: int, + loss: AverageMeter, + epoch: int, + fp16: bool, + learning_rate: float, + grad_scaler: torch.cuda.amp.GradScaler): + if self.rank == 0 and global_step > 0 and global_step % self.frequent == 0: + if self.init: + try: + speed: float = self.frequent * self.batch_size / (time.time() - self.tic) + speed_total = speed * self.world_size + except ZeroDivisionError: + speed_total = float('inf') + + time_now = (time.time() - self.time_start) / 3600 + time_total = time_now / ((global_step + 1) / self.total_step) + time_for_end = time_total - time_now + if self.writer is not None: + self.writer.add_scalar('time_for_end', time_for_end, global_step) + self.writer.add_scalar('learning_rate', learning_rate, global_step) + self.writer.add_scalar('loss', loss.avg, global_step) + if fp16: + msg = "Speed %.2f samples/sec Loss %.4f LearningRate %.4f Epoch: %d Global Step: %d " \ + "Fp16 Grad Scale: %2.f Required: %1.f hours" % ( + speed_total, loss.avg, learning_rate, epoch, global_step, + grad_scaler.get_scale(), time_for_end + ) + else: + msg = "Speed %.2f samples/sec Loss %.4f LearningRate %.4f Epoch: %d Global Step: %d " \ + "Required: %1.f hours" % ( + speed_total, loss.avg, learning_rate, epoch, global_step, time_for_end + ) + logging.info(msg) + loss.reset() + self.tic = time.time() + else: + self.init = True + self.tic = time.time() + + +class CallBackModelCheckpoint(object): + def __init__(self, rank, output="./"): + self.rank: int = rank + self.output: str = output + + def __call__(self, global_step, backbone, partial_fc, ): + if global_step > 100 and self.rank == 0: + path_module = os.path.join(self.output, "backbone.pth") + torch.save(backbone.module.state_dict(), path_module) + logging.info("Pytorch Model Saved in '{}'".format(path_module)) + + if global_step > 100 and partial_fc is not None: + partial_fc.save_params() diff --git a/src/face3d/models/arcface_torch/utils/utils_config.py b/src/face3d/models/arcface_torch/utils/utils_config.py new file mode 100644 index 0000000000000000000000000000000000000000..0c02eaf70fc0140aca7925f621c29a496f491cae --- /dev/null +++ b/src/face3d/models/arcface_torch/utils/utils_config.py @@ -0,0 +1,16 @@ +import importlib +import os.path as osp + + +def get_config(config_file): + assert config_file.startswith('configs/'), 'config file setting must start with configs/' + temp_config_name = osp.basename(config_file) + temp_module_name = osp.splitext(temp_config_name)[0] + config = importlib.import_module("configs.base") + cfg = config.config + config = importlib.import_module("configs.%s" % temp_module_name) + job_cfg = config.config + cfg.update(job_cfg) + if cfg.output is None: + cfg.output = osp.join('work_dirs', temp_module_name) + return cfg \ No newline at end of file diff --git a/src/face3d/models/arcface_torch/utils/utils_logging.py b/src/face3d/models/arcface_torch/utils/utils_logging.py new file mode 100644 index 0000000000000000000000000000000000000000..c787b6aae7cd037a4718df44d672b8ffa9e5c249 --- /dev/null +++ b/src/face3d/models/arcface_torch/utils/utils_logging.py @@ -0,0 +1,41 @@ +import logging +import os +import sys + + +class AverageMeter(object): + """Computes and stores the average and current value + """ + + def __init__(self): + self.val = None + self.avg = None + self.sum = None + self.count = None + self.reset() + + def reset(self): + self.val = 0 + self.avg = 0 + self.sum = 0 + self.count = 0 + + def update(self, val, n=1): + self.val = val + self.sum += val * n + self.count += n + self.avg = self.sum / self.count + + +def init_logging(rank, models_root): + if rank == 0: + log_root = logging.getLogger() + log_root.setLevel(logging.INFO) + formatter = logging.Formatter("Training: %(asctime)s-%(message)s") + handler_file = logging.FileHandler(os.path.join(models_root, "training.log")) + handler_stream = logging.StreamHandler(sys.stdout) + handler_file.setFormatter(formatter) + handler_stream.setFormatter(formatter) + log_root.addHandler(handler_file) + log_root.addHandler(handler_stream) + log_root.info('rank_id: %d' % rank) diff --git a/src/face3d/models/arcface_torch/utils/utils_os.py b/src/face3d/models/arcface_torch/utils/utils_os.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/src/face3d/models/base_model.py b/src/face3d/models/base_model.py new file mode 100644 index 0000000000000000000000000000000000000000..cfe64a7f739ad8f8cfbf3073a2bf49e1468127fd --- /dev/null +++ b/src/face3d/models/base_model.py @@ -0,0 +1,316 @@ +"""This script defines the base network model for Deep3DFaceRecon_pytorch +""" + +import os +import numpy as np +import torch +from collections import OrderedDict +from abc import ABC, abstractmethod +from . import networks + + +class BaseModel(ABC): + """This class is an abstract base class (ABC) for models. + To create a subclass, you need to implement the following five functions: + -- <__init__>: initialize the class; first call BaseModel.__init__(self, opt). + -- : unpack data from dataset and apply preprocessing. + -- : produce intermediate results. + -- : calculate losses, gradients, and update network weights. + -- : (optionally) add model-specific options and set default options. + """ + + def __init__(self, opt): + """Initialize the BaseModel class. + + Parameters: + opt (Option class)-- stores all the experiment flags; needs to be a subclass of BaseOptions + + When creating your custom class, you need to implement your own initialization. + In this fucntion, you should first call + Then, you need to define four lists: + -- self.loss_names (str list): specify the training losses that you want to plot and save. + -- self.model_names (str list): specify the images that you want to display and save. + -- self.visual_names (str list): define networks used in our training. + -- self.optimizers (optimizer list): define and initialize optimizers. You can define one optimizer for each network. If two networks are updated at the same time, you can use itertools.chain to group them. See cycle_gan_model.py for an example. + """ + self.opt = opt + self.isTrain = False + self.device = torch.device('cpu') + self.save_dir = " " # os.path.join(opt.checkpoints_dir, opt.name) # save all the checkpoints to save_dir + self.loss_names = [] + self.model_names = [] + self.visual_names = [] + self.parallel_names = [] + self.optimizers = [] + self.image_paths = [] + self.metric = 0 # used for learning rate policy 'plateau' + + @staticmethod + def dict_grad_hook_factory(add_func=lambda x: x): + saved_dict = dict() + + def hook_gen(name): + def grad_hook(grad): + saved_vals = add_func(grad) + saved_dict[name] = saved_vals + return grad_hook + return hook_gen, saved_dict + + @staticmethod + def modify_commandline_options(parser, is_train): + """Add new model-specific options, and rewrite default values for existing options. + + Parameters: + parser -- original option parser + is_train (bool) -- whether training phase or test phase. You can use this flag to add training-specific or test-specific options. + + Returns: + the modified parser. + """ + return parser + + @abstractmethod + def set_input(self, input): + """Unpack input data from the dataloader and perform necessary pre-processing steps. + + Parameters: + input (dict): includes the data itself and its metadata information. + """ + pass + + @abstractmethod + def forward(self): + """Run forward pass; called by both functions and .""" + pass + + @abstractmethod + def optimize_parameters(self): + """Calculate losses, gradients, and update network weights; called in every training iteration""" + pass + + def setup(self, opt): + """Load and print networks; create schedulers + + Parameters: + opt (Option class) -- stores all the experiment flags; needs to be a subclass of BaseOptions + """ + if self.isTrain: + self.schedulers = [networks.get_scheduler(optimizer, opt) for optimizer in self.optimizers] + + if not self.isTrain or opt.continue_train: + load_suffix = opt.epoch + self.load_networks(load_suffix) + + + # self.print_networks(opt.verbose) + + def parallelize(self, convert_sync_batchnorm=True): + if not self.opt.use_ddp: + for name in self.parallel_names: + if isinstance(name, str): + module = getattr(self, name) + setattr(self, name, module.to(self.device)) + else: + for name in self.model_names: + if isinstance(name, str): + module = getattr(self, name) + if convert_sync_batchnorm: + module = torch.nn.SyncBatchNorm.convert_sync_batchnorm(module) + setattr(self, name, torch.nn.parallel.DistributedDataParallel(module.to(self.device), + device_ids=[self.device.index], + find_unused_parameters=True, broadcast_buffers=True)) + + # DistributedDataParallel is not needed when a module doesn't have any parameter that requires a gradient. + for name in self.parallel_names: + if isinstance(name, str) and name not in self.model_names: + module = getattr(self, name) + setattr(self, name, module.to(self.device)) + + # put state_dict of optimizer to gpu device + if self.opt.phase != 'test': + if self.opt.continue_train: + for optim in self.optimizers: + for state in optim.state.values(): + for k, v in state.items(): + if isinstance(v, torch.Tensor): + state[k] = v.to(self.device) + + def data_dependent_initialize(self, data): + pass + + def train(self): + """Make models train mode""" + for name in self.model_names: + if isinstance(name, str): + net = getattr(self, name) + net.train() + + def eval(self): + """Make models eval mode""" + for name in self.model_names: + if isinstance(name, str): + net = getattr(self, name) + net.eval() + + def test(self): + """Forward function used in test time. + + This function wraps function in no_grad() so we don't save intermediate steps for backprop + It also calls to produce additional visualization results + """ + with torch.no_grad(): + self.forward() + self.compute_visuals() + + def compute_visuals(self): + """Calculate additional output images for visdom and HTML visualization""" + pass + + def get_image_paths(self, name='A'): + """ Return image paths that are used to load current data""" + return self.image_paths if name =='A' else self.image_paths_B + + def update_learning_rate(self): + """Update learning rates for all the networks; called at the end of every epoch""" + for scheduler in self.schedulers: + if self.opt.lr_policy == 'plateau': + scheduler.step(self.metric) + else: + scheduler.step() + + lr = self.optimizers[0].param_groups[0]['lr'] + print('learning rate = %.7f' % lr) + + def get_current_visuals(self): + """Return visualization images. train.py will display these images with visdom, and save the images to a HTML""" + visual_ret = OrderedDict() + for name in self.visual_names: + if isinstance(name, str): + visual_ret[name] = getattr(self, name)[:, :3, ...] + return visual_ret + + def get_current_losses(self): + """Return traning losses / errors. train.py will print out these errors on console, and save them to a file""" + errors_ret = OrderedDict() + for name in self.loss_names: + if isinstance(name, str): + errors_ret[name] = float(getattr(self, 'loss_' + name)) # float(...) works for both scalar tensor and float number + return errors_ret + + def save_networks(self, epoch): + """Save all the networks to the disk. + + Parameters: + epoch (int) -- current epoch; used in the file name '%s_net_%s.pth' % (epoch, name) + """ + if not os.path.isdir(self.save_dir): + os.makedirs(self.save_dir) + + save_filename = 'epoch_%s.pth' % (epoch) + save_path = os.path.join(self.save_dir, save_filename) + + save_dict = {} + for name in self.model_names: + if isinstance(name, str): + net = getattr(self, name) + if isinstance(net, torch.nn.DataParallel) or isinstance(net, + torch.nn.parallel.DistributedDataParallel): + net = net.module + save_dict[name] = net.state_dict() + + + for i, optim in enumerate(self.optimizers): + save_dict['opt_%02d'%i] = optim.state_dict() + + for i, sched in enumerate(self.schedulers): + save_dict['sched_%02d'%i] = sched.state_dict() + + torch.save(save_dict, save_path) + + def __patch_instance_norm_state_dict(self, state_dict, module, keys, i=0): + """Fix InstanceNorm checkpoints incompatibility (prior to 0.4)""" + key = keys[i] + if i + 1 == len(keys): # at the end, pointing to a parameter/buffer + if module.__class__.__name__.startswith('InstanceNorm') and \ + (key == 'running_mean' or key == 'running_var'): + if getattr(module, key) is None: + state_dict.pop('.'.join(keys)) + if module.__class__.__name__.startswith('InstanceNorm') and \ + (key == 'num_batches_tracked'): + state_dict.pop('.'.join(keys)) + else: + self.__patch_instance_norm_state_dict(state_dict, getattr(module, key), keys, i + 1) + + def load_networks(self, epoch): + """Load all the networks from the disk. + + Parameters: + epoch (int) -- current epoch; used in the file name '%s_net_%s.pth' % (epoch, name) + """ + if self.opt.isTrain and self.opt.pretrained_name is not None: + load_dir = os.path.join(self.opt.checkpoints_dir, self.opt.pretrained_name) + else: + load_dir = self.save_dir + load_filename = 'epoch_%s.pth' % (epoch) + load_path = os.path.join(load_dir, load_filename) + state_dict = torch.load(load_path, map_location=self.device) + print('loading the model from %s' % load_path) + + for name in self.model_names: + if isinstance(name, str): + net = getattr(self, name) + if isinstance(net, torch.nn.DataParallel): + net = net.module + net.load_state_dict(state_dict[name]) + + if self.opt.phase != 'test': + if self.opt.continue_train: + print('loading the optim from %s' % load_path) + for i, optim in enumerate(self.optimizers): + optim.load_state_dict(state_dict['opt_%02d'%i]) + + try: + print('loading the sched from %s' % load_path) + for i, sched in enumerate(self.schedulers): + sched.load_state_dict(state_dict['sched_%02d'%i]) + except: + print('Failed to load schedulers, set schedulers according to epoch count manually') + for i, sched in enumerate(self.schedulers): + sched.last_epoch = self.opt.epoch_count - 1 + + + + + def print_networks(self, verbose): + """Print the total number of parameters in the network and (if verbose) network architecture + + Parameters: + verbose (bool) -- if verbose: print the network architecture + """ + print('---------- Networks initialized -------------') + for name in self.model_names: + if isinstance(name, str): + net = getattr(self, name) + num_params = 0 + for param in net.parameters(): + num_params += param.numel() + if verbose: + print(net) + print('[Network %s] Total number of parameters : %.3f M' % (name, num_params / 1e6)) + print('-----------------------------------------------') + + def set_requires_grad(self, nets, requires_grad=False): + """Set requies_grad=Fasle for all the networks to avoid unnecessary computations + Parameters: + nets (network list) -- a list of networks + requires_grad (bool) -- whether the networks require gradients or not + """ + if not isinstance(nets, list): + nets = [nets] + for net in nets: + if net is not None: + for param in net.parameters(): + param.requires_grad = requires_grad + + def generate_visuals_for_evaluation(self, data, mode): + return {} diff --git a/src/face3d/models/bfm.py b/src/face3d/models/bfm.py new file mode 100644 index 0000000000000000000000000000000000000000..a75db682f02dd1979d4a7de1d11dd3aa5cdf5279 --- /dev/null +++ b/src/face3d/models/bfm.py @@ -0,0 +1,331 @@ +"""This script defines the parametric 3d face model for Deep3DFaceRecon_pytorch +""" + +import numpy as np +import torch +import torch.nn.functional as F +from scipy.io import loadmat +from src.face3d.util.load_mats import transferBFM09 +import os + +def perspective_projection(focal, center): + # return p.T (N, 3) @ (3, 3) + return np.array([ + focal, 0, center, + 0, focal, center, + 0, 0, 1 + ]).reshape([3, 3]).astype(np.float32).transpose() + +class SH: + def __init__(self): + self.a = [np.pi, 2 * np.pi / np.sqrt(3.), 2 * np.pi / np.sqrt(8.)] + self.c = [1/np.sqrt(4 * np.pi), np.sqrt(3.) / np.sqrt(4 * np.pi), 3 * np.sqrt(5.) / np.sqrt(12 * np.pi)] + + + +class ParametricFaceModel: + def __init__(self, + bfm_folder='./BFM', + recenter=True, + camera_distance=10., + init_lit=np.array([ + 0.8, 0, 0, 0, 0, 0, 0, 0, 0 + ]), + focal=1015., + center=112., + is_train=True, + default_name='BFM_model_front.mat'): + + if not os.path.isfile(os.path.join(bfm_folder, default_name)): + transferBFM09(bfm_folder) + + model = loadmat(os.path.join(bfm_folder, default_name)) + # mean face shape. [3*N,1] + self.mean_shape = model['meanshape'].astype(np.float32) + # identity basis. [3*N,80] + self.id_base = model['idBase'].astype(np.float32) + # expression basis. [3*N,64] + self.exp_base = model['exBase'].astype(np.float32) + # mean face texture. [3*N,1] (0-255) + self.mean_tex = model['meantex'].astype(np.float32) + # texture basis. [3*N,80] + self.tex_base = model['texBase'].astype(np.float32) + # face indices for each vertex that lies in. starts from 0. [N,8] + self.point_buf = model['point_buf'].astype(np.int64) - 1 + # vertex indices for each face. starts from 0. [F,3] + self.face_buf = model['tri'].astype(np.int64) - 1 + # vertex indices for 68 landmarks. starts from 0. [68,1] + self.keypoints = np.squeeze(model['keypoints']).astype(np.int64) - 1 + + if is_train: + # vertex indices for small face region to compute photometric error. starts from 0. + self.front_mask = np.squeeze(model['frontmask2_idx']).astype(np.int64) - 1 + # vertex indices for each face from small face region. starts from 0. [f,3] + self.front_face_buf = model['tri_mask2'].astype(np.int64) - 1 + # vertex indices for pre-defined skin region to compute reflectance loss + self.skin_mask = np.squeeze(model['skinmask']) + + if recenter: + mean_shape = self.mean_shape.reshape([-1, 3]) + mean_shape = mean_shape - np.mean(mean_shape, axis=0, keepdims=True) + self.mean_shape = mean_shape.reshape([-1, 1]) + + self.persc_proj = perspective_projection(focal, center) + self.device = 'cpu' + self.camera_distance = camera_distance + self.SH = SH() + self.init_lit = init_lit.reshape([1, 1, -1]).astype(np.float32) + + + def to(self, device): + self.device = device + for key, value in self.__dict__.items(): + if type(value).__module__ == np.__name__: + setattr(self, key, torch.tensor(value).to(device)) + + + def compute_shape(self, id_coeff, exp_coeff): + """ + Return: + face_shape -- torch.tensor, size (B, N, 3) + + Parameters: + id_coeff -- torch.tensor, size (B, 80), identity coeffs + exp_coeff -- torch.tensor, size (B, 64), expression coeffs + """ + batch_size = id_coeff.shape[0] + id_part = torch.einsum('ij,aj->ai', self.id_base, id_coeff) + exp_part = torch.einsum('ij,aj->ai', self.exp_base, exp_coeff) + face_shape = id_part + exp_part + self.mean_shape.reshape([1, -1]) + return face_shape.reshape([batch_size, -1, 3]) + + + def compute_texture(self, tex_coeff, normalize=True): + """ + Return: + face_texture -- torch.tensor, size (B, N, 3), in RGB order, range (0, 1.) + + Parameters: + tex_coeff -- torch.tensor, size (B, 80) + """ + batch_size = tex_coeff.shape[0] + face_texture = torch.einsum('ij,aj->ai', self.tex_base, tex_coeff) + self.mean_tex + if normalize: + face_texture = face_texture / 255. + return face_texture.reshape([batch_size, -1, 3]) + + + def compute_norm(self, face_shape): + """ + Return: + vertex_norm -- torch.tensor, size (B, N, 3) + + Parameters: + face_shape -- torch.tensor, size (B, N, 3) + """ + + v1 = face_shape[:, self.face_buf[:, 0]] + v2 = face_shape[:, self.face_buf[:, 1]] + v3 = face_shape[:, self.face_buf[:, 2]] + e1 = v1 - v2 + e2 = v2 - v3 + face_norm = torch.cross(e1, e2, dim=-1) + face_norm = F.normalize(face_norm, dim=-1, p=2) + face_norm = torch.cat([face_norm, torch.zeros(face_norm.shape[0], 1, 3).to(self.device)], dim=1) + + vertex_norm = torch.sum(face_norm[:, self.point_buf], dim=2) + vertex_norm = F.normalize(vertex_norm, dim=-1, p=2) + return vertex_norm + + + def compute_color(self, face_texture, face_norm, gamma): + """ + Return: + face_color -- torch.tensor, size (B, N, 3), range (0, 1.) + + Parameters: + face_texture -- torch.tensor, size (B, N, 3), from texture model, range (0, 1.) + face_norm -- torch.tensor, size (B, N, 3), rotated face normal + gamma -- torch.tensor, size (B, 27), SH coeffs + """ + batch_size = gamma.shape[0] + v_num = face_texture.shape[1] + a, c = self.SH.a, self.SH.c + gamma = gamma.reshape([batch_size, 3, 9]) + gamma = gamma + self.init_lit + gamma = gamma.permute(0, 2, 1) + Y = torch.cat([ + a[0] * c[0] * torch.ones_like(face_norm[..., :1]).to(self.device), + -a[1] * c[1] * face_norm[..., 1:2], + a[1] * c[1] * face_norm[..., 2:], + -a[1] * c[1] * face_norm[..., :1], + a[2] * c[2] * face_norm[..., :1] * face_norm[..., 1:2], + -a[2] * c[2] * face_norm[..., 1:2] * face_norm[..., 2:], + 0.5 * a[2] * c[2] / np.sqrt(3.) * (3 * face_norm[..., 2:] ** 2 - 1), + -a[2] * c[2] * face_norm[..., :1] * face_norm[..., 2:], + 0.5 * a[2] * c[2] * (face_norm[..., :1] ** 2 - face_norm[..., 1:2] ** 2) + ], dim=-1) + r = Y @ gamma[..., :1] + g = Y @ gamma[..., 1:2] + b = Y @ gamma[..., 2:] + face_color = torch.cat([r, g, b], dim=-1) * face_texture + return face_color + + + def compute_rotation(self, angles): + """ + Return: + rot -- torch.tensor, size (B, 3, 3) pts @ trans_mat + + Parameters: + angles -- torch.tensor, size (B, 3), radian + """ + + batch_size = angles.shape[0] + ones = torch.ones([batch_size, 1]).to(self.device) + zeros = torch.zeros([batch_size, 1]).to(self.device) + x, y, z = angles[:, :1], angles[:, 1:2], angles[:, 2:], + + rot_x = torch.cat([ + ones, zeros, zeros, + zeros, torch.cos(x), -torch.sin(x), + zeros, torch.sin(x), torch.cos(x) + ], dim=1).reshape([batch_size, 3, 3]) + + rot_y = torch.cat([ + torch.cos(y), zeros, torch.sin(y), + zeros, ones, zeros, + -torch.sin(y), zeros, torch.cos(y) + ], dim=1).reshape([batch_size, 3, 3]) + + rot_z = torch.cat([ + torch.cos(z), -torch.sin(z), zeros, + torch.sin(z), torch.cos(z), zeros, + zeros, zeros, ones + ], dim=1).reshape([batch_size, 3, 3]) + + rot = rot_z @ rot_y @ rot_x + return rot.permute(0, 2, 1) + + + def to_camera(self, face_shape): + face_shape[..., -1] = self.camera_distance - face_shape[..., -1] + return face_shape + + def to_image(self, face_shape): + """ + Return: + face_proj -- torch.tensor, size (B, N, 2), y direction is opposite to v direction + + Parameters: + face_shape -- torch.tensor, size (B, N, 3) + """ + # to image_plane + face_proj = face_shape @ self.persc_proj + face_proj = face_proj[..., :2] / face_proj[..., 2:] + + return face_proj + + + def transform(self, face_shape, rot, trans): + """ + Return: + face_shape -- torch.tensor, size (B, N, 3) pts @ rot + trans + + Parameters: + face_shape -- torch.tensor, size (B, N, 3) + rot -- torch.tensor, size (B, 3, 3) + trans -- torch.tensor, size (B, 3) + """ + return face_shape @ rot + trans.unsqueeze(1) + + + def get_landmarks(self, face_proj): + """ + Return: + face_lms -- torch.tensor, size (B, 68, 2) + + Parameters: + face_proj -- torch.tensor, size (B, N, 2) + """ + return face_proj[:, self.keypoints] + + def split_coeff(self, coeffs): + """ + Return: + coeffs_dict -- a dict of torch.tensors + + Parameters: + coeffs -- torch.tensor, size (B, 256) + """ + id_coeffs = coeffs[:, :80] + exp_coeffs = coeffs[:, 80: 144] + tex_coeffs = coeffs[:, 144: 224] + angles = coeffs[:, 224: 227] + gammas = coeffs[:, 227: 254] + translations = coeffs[:, 254:] + return { + 'id': id_coeffs, + 'exp': exp_coeffs, + 'tex': tex_coeffs, + 'angle': angles, + 'gamma': gammas, + 'trans': translations + } + def compute_for_render(self, coeffs): + """ + Return: + face_vertex -- torch.tensor, size (B, N, 3), in camera coordinate + face_color -- torch.tensor, size (B, N, 3), in RGB order + landmark -- torch.tensor, size (B, 68, 2), y direction is opposite to v direction + Parameters: + coeffs -- torch.tensor, size (B, 257) + """ + coef_dict = self.split_coeff(coeffs) + face_shape = self.compute_shape(coef_dict['id'], coef_dict['exp']) + rotation = self.compute_rotation(coef_dict['angle']) + + + face_shape_transformed = self.transform(face_shape, rotation, coef_dict['trans']) + face_vertex = self.to_camera(face_shape_transformed) + + face_proj = self.to_image(face_vertex) + landmark = self.get_landmarks(face_proj) + + face_texture = self.compute_texture(coef_dict['tex']) + face_norm = self.compute_norm(face_shape) + face_norm_roted = face_norm @ rotation + face_color = self.compute_color(face_texture, face_norm_roted, coef_dict['gamma']) + + return face_vertex, face_texture, face_color, landmark + + def compute_for_render_woRotation(self, coeffs): + """ + Return: + face_vertex -- torch.tensor, size (B, N, 3), in camera coordinate + face_color -- torch.tensor, size (B, N, 3), in RGB order + landmark -- torch.tensor, size (B, 68, 2), y direction is opposite to v direction + Parameters: + coeffs -- torch.tensor, size (B, 257) + """ + coef_dict = self.split_coeff(coeffs) + face_shape = self.compute_shape(coef_dict['id'], coef_dict['exp']) + #rotation = self.compute_rotation(coef_dict['angle']) + + + #face_shape_transformed = self.transform(face_shape, rotation, coef_dict['trans']) + face_vertex = self.to_camera(face_shape) + + face_proj = self.to_image(face_vertex) + landmark = self.get_landmarks(face_proj) + + face_texture = self.compute_texture(coef_dict['tex']) + face_norm = self.compute_norm(face_shape) + face_norm_roted = face_norm # @ rotation + face_color = self.compute_color(face_texture, face_norm_roted, coef_dict['gamma']) + + return face_vertex, face_texture, face_color, landmark + + +if __name__ == '__main__': + transferBFM09() \ No newline at end of file diff --git a/src/face3d/models/facerecon_model.py b/src/face3d/models/facerecon_model.py new file mode 100644 index 0000000000000000000000000000000000000000..7de8ca6eebc50ff1ed52c5ba37d31b43f977b5e1 --- /dev/null +++ b/src/face3d/models/facerecon_model.py @@ -0,0 +1,220 @@ +"""This script defines the face reconstruction model for Deep3DFaceRecon_pytorch +""" + +import numpy as np +import torch +from src.face3d.models.base_model import BaseModel +from src.face3d.models import networks +from src.face3d.models.bfm import ParametricFaceModel +from src.face3d.models.losses import perceptual_loss, photo_loss, reg_loss, reflectance_loss, landmark_loss +from src.face3d.util import util +from src.face3d.util.nvdiffrast import MeshRenderer +# from src.face3d.util.preprocess import estimate_norm_torch + +import trimesh +from scipy.io import savemat + +class FaceReconModel(BaseModel): + + @staticmethod + def modify_commandline_options(parser, is_train=False): + """ Configures options specific for CUT model + """ + # net structure and parameters + parser.add_argument('--net_recon', type=str, default='resnet50', choices=['resnet18', 'resnet34', 'resnet50'], help='network structure') + parser.add_argument('--init_path', type=str, default='./checkpoints/init_model/resnet50-0676ba61.pth') + parser.add_argument('--use_last_fc', type=util.str2bool, nargs='?', const=True, default=False, help='zero initialize the last fc') + parser.add_argument('--bfm_folder', type=str, default='./checkpoints/BFM_Fitting/') + parser.add_argument('--bfm_model', type=str, default='BFM_model_front.mat', help='bfm model') + + # renderer parameters + parser.add_argument('--focal', type=float, default=1015.) + parser.add_argument('--center', type=float, default=112.) + parser.add_argument('--camera_d', type=float, default=10.) + parser.add_argument('--z_near', type=float, default=5.) + parser.add_argument('--z_far', type=float, default=15.) + + if is_train: + # training parameters + parser.add_argument('--net_recog', type=str, default='r50', choices=['r18', 'r43', 'r50'], help='face recog network structure') + parser.add_argument('--net_recog_path', type=str, default='checkpoints/recog_model/ms1mv3_arcface_r50_fp16/backbone.pth') + parser.add_argument('--use_crop_face', type=util.str2bool, nargs='?', const=True, default=False, help='use crop mask for photo loss') + parser.add_argument('--use_predef_M', type=util.str2bool, nargs='?', const=True, default=False, help='use predefined M for predicted face') + + + # augmentation parameters + parser.add_argument('--shift_pixs', type=float, default=10., help='shift pixels') + parser.add_argument('--scale_delta', type=float, default=0.1, help='delta scale factor') + parser.add_argument('--rot_angle', type=float, default=10., help='rot angles, degree') + + # loss weights + parser.add_argument('--w_feat', type=float, default=0.2, help='weight for feat loss') + parser.add_argument('--w_color', type=float, default=1.92, help='weight for loss loss') + parser.add_argument('--w_reg', type=float, default=3.0e-4, help='weight for reg loss') + parser.add_argument('--w_id', type=float, default=1.0, help='weight for id_reg loss') + parser.add_argument('--w_exp', type=float, default=0.8, help='weight for exp_reg loss') + parser.add_argument('--w_tex', type=float, default=1.7e-2, help='weight for tex_reg loss') + parser.add_argument('--w_gamma', type=float, default=10.0, help='weight for gamma loss') + parser.add_argument('--w_lm', type=float, default=1.6e-3, help='weight for lm loss') + parser.add_argument('--w_reflc', type=float, default=5.0, help='weight for reflc loss') + + opt, _ = parser.parse_known_args() + parser.set_defaults( + focal=1015., center=112., camera_d=10., use_last_fc=False, z_near=5., z_far=15. + ) + if is_train: + parser.set_defaults( + use_crop_face=True, use_predef_M=False + ) + return parser + + def __init__(self, opt): + """Initialize this model class. + + Parameters: + opt -- training/test options + + A few things can be done here. + - (required) call the initialization function of BaseModel + - define loss function, visualization images, model names, and optimizers + """ + BaseModel.__init__(self, opt) # call the initialization method of BaseModel + + self.visual_names = ['output_vis'] + self.model_names = ['net_recon'] + self.parallel_names = self.model_names + ['renderer'] + + self.facemodel = ParametricFaceModel( + bfm_folder=opt.bfm_folder, camera_distance=opt.camera_d, focal=opt.focal, center=opt.center, + is_train=self.isTrain, default_name=opt.bfm_model + ) + + fov = 2 * np.arctan(opt.center / opt.focal) * 180 / np.pi + self.renderer = MeshRenderer( + rasterize_fov=fov, znear=opt.z_near, zfar=opt.z_far, rasterize_size=int(2 * opt.center) + ) + + if self.isTrain: + self.loss_names = ['all', 'feat', 'color', 'lm', 'reg', 'gamma', 'reflc'] + + self.net_recog = networks.define_net_recog( + net_recog=opt.net_recog, pretrained_path=opt.net_recog_path + ) + # loss func name: (compute_%s_loss) % loss_name + self.compute_feat_loss = perceptual_loss + self.comupte_color_loss = photo_loss + self.compute_lm_loss = landmark_loss + self.compute_reg_loss = reg_loss + self.compute_reflc_loss = reflectance_loss + + self.optimizer = torch.optim.Adam(self.net_recon.parameters(), lr=opt.lr) + self.optimizers = [self.optimizer] + self.parallel_names += ['net_recog'] + # Our program will automatically call to define schedulers, load networks, and print networks + + def set_input(self, input): + """Unpack input data from the dataloader and perform necessary pre-processing steps. + + Parameters: + input: a dictionary that contains the data itself and its metadata information. + """ + self.input_img = input['imgs'].to(self.device) + self.atten_mask = input['msks'].to(self.device) if 'msks' in input else None + self.gt_lm = input['lms'].to(self.device) if 'lms' in input else None + self.trans_m = input['M'].to(self.device) if 'M' in input else None + self.image_paths = input['im_paths'] if 'im_paths' in input else None + + def forward(self, output_coeff, device): + self.facemodel.to(device) + self.pred_vertex, self.pred_tex, self.pred_color, self.pred_lm = \ + self.facemodel.compute_for_render(output_coeff) + self.pred_mask, _, self.pred_face = self.renderer( + self.pred_vertex, self.facemodel.face_buf, feat=self.pred_color) + + self.pred_coeffs_dict = self.facemodel.split_coeff(output_coeff) + + + def compute_losses(self): + """Calculate losses, gradients, and update network weights; called in every training iteration""" + + assert self.net_recog.training == False + trans_m = self.trans_m + if not self.opt.use_predef_M: + trans_m = estimate_norm_torch(self.pred_lm, self.input_img.shape[-2]) + + pred_feat = self.net_recog(self.pred_face, trans_m) + gt_feat = self.net_recog(self.input_img, self.trans_m) + self.loss_feat = self.opt.w_feat * self.compute_feat_loss(pred_feat, gt_feat) + + face_mask = self.pred_mask + if self.opt.use_crop_face: + face_mask, _, _ = self.renderer(self.pred_vertex, self.facemodel.front_face_buf) + + face_mask = face_mask.detach() + self.loss_color = self.opt.w_color * self.comupte_color_loss( + self.pred_face, self.input_img, self.atten_mask * face_mask) + + loss_reg, loss_gamma = self.compute_reg_loss(self.pred_coeffs_dict, self.opt) + self.loss_reg = self.opt.w_reg * loss_reg + self.loss_gamma = self.opt.w_gamma * loss_gamma + + self.loss_lm = self.opt.w_lm * self.compute_lm_loss(self.pred_lm, self.gt_lm) + + self.loss_reflc = self.opt.w_reflc * self.compute_reflc_loss(self.pred_tex, self.facemodel.skin_mask) + + self.loss_all = self.loss_feat + self.loss_color + self.loss_reg + self.loss_gamma \ + + self.loss_lm + self.loss_reflc + + + def optimize_parameters(self, isTrain=True): + self.forward() + self.compute_losses() + """Update network weights; it will be called in every training iteration.""" + if isTrain: + self.optimizer.zero_grad() + self.loss_all.backward() + self.optimizer.step() + + def compute_visuals(self): + with torch.no_grad(): + input_img_numpy = 255. * self.input_img.detach().cpu().permute(0, 2, 3, 1).numpy() + output_vis = self.pred_face * self.pred_mask + (1 - self.pred_mask) * self.input_img + output_vis_numpy_raw = 255. * output_vis.detach().cpu().permute(0, 2, 3, 1).numpy() + + if self.gt_lm is not None: + gt_lm_numpy = self.gt_lm.cpu().numpy() + pred_lm_numpy = self.pred_lm.detach().cpu().numpy() + output_vis_numpy = util.draw_landmarks(output_vis_numpy_raw, gt_lm_numpy, 'b') + output_vis_numpy = util.draw_landmarks(output_vis_numpy, pred_lm_numpy, 'r') + + output_vis_numpy = np.concatenate((input_img_numpy, + output_vis_numpy_raw, output_vis_numpy), axis=-2) + else: + output_vis_numpy = np.concatenate((input_img_numpy, + output_vis_numpy_raw), axis=-2) + + self.output_vis = torch.tensor( + output_vis_numpy / 255., dtype=torch.float32 + ).permute(0, 3, 1, 2).to(self.device) + + def save_mesh(self, name): + + recon_shape = self.pred_vertex # get reconstructed shape + recon_shape[..., -1] = 10 - recon_shape[..., -1] # from camera space to world space + recon_shape = recon_shape.cpu().numpy()[0] + recon_color = self.pred_color + recon_color = recon_color.cpu().numpy()[0] + tri = self.facemodel.face_buf.cpu().numpy() + mesh = trimesh.Trimesh(vertices=recon_shape, faces=tri, vertex_colors=np.clip(255. * recon_color, 0, 255).astype(np.uint8)) + mesh.export(name) + + def save_coeff(self,name): + + pred_coeffs = {key:self.pred_coeffs_dict[key].cpu().numpy() for key in self.pred_coeffs_dict} + pred_lm = self.pred_lm.cpu().numpy() + pred_lm = np.stack([pred_lm[:,:,0],self.input_img.shape[2]-1-pred_lm[:,:,1]],axis=2) # transfer to image coordinate + pred_coeffs['lm68'] = pred_lm + savemat(name,pred_coeffs) + + + diff --git a/src/face3d/models/losses.py b/src/face3d/models/losses.py new file mode 100644 index 0000000000000000000000000000000000000000..09d6a85870af1ef2b857e4a3fdd4b2f7fc991317 --- /dev/null +++ b/src/face3d/models/losses.py @@ -0,0 +1,113 @@ +import numpy as np +import torch +import torch.nn as nn +from kornia.geometry import warp_affine +import torch.nn.functional as F + +def resize_n_crop(image, M, dsize=112): + # image: (b, c, h, w) + # M : (b, 2, 3) + return warp_affine(image, M, dsize=(dsize, dsize), align_corners=True) + +### perceptual level loss +class PerceptualLoss(nn.Module): + def __init__(self, recog_net, input_size=112): + super(PerceptualLoss, self).__init__() + self.recog_net = recog_net + self.preprocess = lambda x: 2 * x - 1 + self.input_size=input_size + def forward(imageA, imageB, M): + """ + 1 - cosine distance + Parameters: + imageA --torch.tensor (B, 3, H, W), range (0, 1) , RGB order + imageB --same as imageA + """ + + imageA = self.preprocess(resize_n_crop(imageA, M, self.input_size)) + imageB = self.preprocess(resize_n_crop(imageB, M, self.input_size)) + + # freeze bn + self.recog_net.eval() + + id_featureA = F.normalize(self.recog_net(imageA), dim=-1, p=2) + id_featureB = F.normalize(self.recog_net(imageB), dim=-1, p=2) + cosine_d = torch.sum(id_featureA * id_featureB, dim=-1) + # assert torch.sum((cosine_d > 1).float()) == 0 + return torch.sum(1 - cosine_d) / cosine_d.shape[0] + +def perceptual_loss(id_featureA, id_featureB): + cosine_d = torch.sum(id_featureA * id_featureB, dim=-1) + # assert torch.sum((cosine_d > 1).float()) == 0 + return torch.sum(1 - cosine_d) / cosine_d.shape[0] + +### image level loss +def photo_loss(imageA, imageB, mask, eps=1e-6): + """ + l2 norm (with sqrt, to ensure backward stabililty, use eps, otherwise Nan may occur) + Parameters: + imageA --torch.tensor (B, 3, H, W), range (0, 1), RGB order + imageB --same as imageA + """ + loss = torch.sqrt(eps + torch.sum((imageA - imageB) ** 2, dim=1, keepdims=True)) * mask + loss = torch.sum(loss) / torch.max(torch.sum(mask), torch.tensor(1.0).to(mask.device)) + return loss + +def landmark_loss(predict_lm, gt_lm, weight=None): + """ + weighted mse loss + Parameters: + predict_lm --torch.tensor (B, 68, 2) + gt_lm --torch.tensor (B, 68, 2) + weight --numpy.array (1, 68) + """ + if not weight: + weight = np.ones([68]) + weight[28:31] = 20 + weight[-8:] = 20 + weight = np.expand_dims(weight, 0) + weight = torch.tensor(weight).to(predict_lm.device) + loss = torch.sum((predict_lm - gt_lm)**2, dim=-1) * weight + loss = torch.sum(loss) / (predict_lm.shape[0] * predict_lm.shape[1]) + return loss + + +### regulization +def reg_loss(coeffs_dict, opt=None): + """ + l2 norm without the sqrt, from yu's implementation (mse) + tf.nn.l2_loss https://www.tensorflow.org/api_docs/python/tf/nn/l2_loss + Parameters: + coeffs_dict -- a dict of torch.tensors , keys: id, exp, tex, angle, gamma, trans + + """ + # coefficient regularization to ensure plausible 3d faces + if opt: + w_id, w_exp, w_tex = opt.w_id, opt.w_exp, opt.w_tex + else: + w_id, w_exp, w_tex = 1, 1, 1, 1 + creg_loss = w_id * torch.sum(coeffs_dict['id'] ** 2) + \ + w_exp * torch.sum(coeffs_dict['exp'] ** 2) + \ + w_tex * torch.sum(coeffs_dict['tex'] ** 2) + creg_loss = creg_loss / coeffs_dict['id'].shape[0] + + # gamma regularization to ensure a nearly-monochromatic light + gamma = coeffs_dict['gamma'].reshape([-1, 3, 9]) + gamma_mean = torch.mean(gamma, dim=1, keepdims=True) + gamma_loss = torch.mean((gamma - gamma_mean) ** 2) + + return creg_loss, gamma_loss + +def reflectance_loss(texture, mask): + """ + minimize texture variance (mse), albedo regularization to ensure an uniform skin albedo + Parameters: + texture --torch.tensor, (B, N, 3) + mask --torch.tensor, (N), 1 or 0 + + """ + mask = mask.reshape([1, mask.shape[0], 1]) + texture_mean = torch.sum(mask * texture, dim=1, keepdims=True) / torch.sum(mask) + loss = torch.sum(((texture - texture_mean) * mask)**2) / (texture.shape[0] * torch.sum(mask)) + return loss + diff --git a/src/face3d/models/networks.py b/src/face3d/models/networks.py new file mode 100644 index 0000000000000000000000000000000000000000..ead9cdcb8720b845c233de79dc8a8d1668492108 --- /dev/null +++ b/src/face3d/models/networks.py @@ -0,0 +1,521 @@ +"""This script defines deep neural networks for Deep3DFaceRecon_pytorch +""" + +import os +import numpy as np +import torch.nn.functional as F +from torch.nn import init +import functools +from torch.optim import lr_scheduler +import torch +from torch import Tensor +import torch.nn as nn +try: + from torch.hub import load_state_dict_from_url +except ImportError: + from torch.utils.model_zoo import load_url as load_state_dict_from_url +from typing import Type, Any, Callable, Union, List, Optional +from .arcface_torch.backbones import get_model +from kornia.geometry import warp_affine + +def resize_n_crop(image, M, dsize=112): + # image: (b, c, h, w) + # M : (b, 2, 3) + return warp_affine(image, M, dsize=(dsize, dsize), align_corners=True) + +def filter_state_dict(state_dict, remove_name='fc'): + new_state_dict = {} + for key in state_dict: + if remove_name in key: + continue + new_state_dict[key] = state_dict[key] + return new_state_dict + +def get_scheduler(optimizer, opt): + """Return a learning rate scheduler + + Parameters: + optimizer -- the optimizer of the network + opt (option class) -- stores all the experiment flags; needs to be a subclass of BaseOptions．　 + opt.lr_policy is the name of learning rate policy: linear | step | plateau | cosine + + For other schedulers (step, plateau, and cosine), we use the default PyTorch schedulers. + See https://pytorch.org/docs/stable/optim.html for more details. + """ + if opt.lr_policy == 'linear': + def lambda_rule(epoch): + lr_l = 1.0 - max(0, epoch + opt.epoch_count - opt.n_epochs) / float(opt.n_epochs + 1) + return lr_l + scheduler = lr_scheduler.LambdaLR(optimizer, lr_lambda=lambda_rule) + elif opt.lr_policy == 'step': + scheduler = lr_scheduler.StepLR(optimizer, step_size=opt.lr_decay_epochs, gamma=0.2) + elif opt.lr_policy == 'plateau': + scheduler = lr_scheduler.ReduceLROnPlateau(optimizer, mode='min', factor=0.2, threshold=0.01, patience=5) + elif opt.lr_policy == 'cosine': + scheduler = lr_scheduler.CosineAnnealingLR(optimizer, T_max=opt.n_epochs, eta_min=0) + else: + return NotImplementedError('learning rate policy [%s] is not implemented', opt.lr_policy) + return scheduler + + +def define_net_recon(net_recon, use_last_fc=False, init_path=None): + return ReconNetWrapper(net_recon, use_last_fc=use_last_fc, init_path=init_path) + +def define_net_recog(net_recog, pretrained_path=None): + net = RecogNetWrapper(net_recog=net_recog, pretrained_path=pretrained_path) + net.eval() + return net + +class ReconNetWrapper(nn.Module): + fc_dim=257 + def __init__(self, net_recon, use_last_fc=False, init_path=None): + super(ReconNetWrapper, self).__init__() + self.use_last_fc = use_last_fc + if net_recon not in func_dict: + return NotImplementedError('network [%s] is not implemented', net_recon) + func, last_dim = func_dict[net_recon] + backbone = func(use_last_fc=use_last_fc, num_classes=self.fc_dim) + if init_path and os.path.isfile(init_path): + state_dict = filter_state_dict(torch.load(init_path, map_location='cpu')) + backbone.load_state_dict(state_dict) + print("loading init net_recon %s from %s" %(net_recon, init_path)) + self.backbone = backbone + if not use_last_fc: + self.final_layers = nn.ModuleList([ + conv1x1(last_dim, 80, bias=True), # id layer + conv1x1(last_dim, 64, bias=True), # exp layer + conv1x1(last_dim, 80, bias=True), # tex layer + conv1x1(last_dim, 3, bias=True), # angle layer + conv1x1(last_dim, 27, bias=True), # gamma layer + conv1x1(last_dim, 2, bias=True), # tx, ty + conv1x1(last_dim, 1, bias=True) # tz + ]) + for m in self.final_layers: + nn.init.constant_(m.weight, 0.) + nn.init.constant_(m.bias, 0.) + + def forward(self, x): + x = self.backbone(x) + if not self.use_last_fc: + output = [] + for layer in self.final_layers: + output.append(layer(x)) + x = torch.flatten(torch.cat(output, dim=1), 1) + return x + + +class RecogNetWrapper(nn.Module): + def __init__(self, net_recog, pretrained_path=None, input_size=112): + super(RecogNetWrapper, self).__init__() + net = get_model(name=net_recog, fp16=False) + if pretrained_path: + state_dict = torch.load(pretrained_path, map_location='cpu') + net.load_state_dict(state_dict) + print("loading pretrained net_recog %s from %s" %(net_recog, pretrained_path)) + for param in net.parameters(): + param.requires_grad = False + self.net = net + self.preprocess = lambda x: 2 * x - 1 + self.input_size=input_size + + def forward(self, image, M): + image = self.preprocess(resize_n_crop(image, M, self.input_size)) + id_feature = F.normalize(self.net(image), dim=-1, p=2) + return id_feature + + +# adapted from https://github.com/pytorch/vision/edit/master/torchvision/models/resnet.py +__all__ = ['ResNet', 'resnet18', 'resnet34', 'resnet50', 'resnet101', + 'resnet152', 'resnext50_32x4d', 'resnext101_32x8d', + 'wide_resnet50_2', 'wide_resnet101_2'] + + +model_urls = { + 'resnet18': 'https://download.pytorch.org/models/resnet18-f37072fd.pth', + 'resnet34': 'https://download.pytorch.org/models/resnet34-b627a593.pth', + 'resnet50': 'https://download.pytorch.org/models/resnet50-0676ba61.pth', + 'resnet101': 'https://download.pytorch.org/models/resnet101-63fe2227.pth', + 'resnet152': 'https://download.pytorch.org/models/resnet152-394f9c45.pth', + 'resnext50_32x4d': 'https://download.pytorch.org/models/resnext50_32x4d-7cdf4587.pth', + 'resnext101_32x8d': 'https://download.pytorch.org/models/resnext101_32x8d-8ba56ff5.pth', + 'wide_resnet50_2': 'https://download.pytorch.org/models/wide_resnet50_2-95faca4d.pth', + 'wide_resnet101_2': 'https://download.pytorch.org/models/wide_resnet101_2-32ee1156.pth', +} + + +def conv3x3(in_planes: int, out_planes: int, stride: int = 1, groups: int = 1, dilation: int = 1) -> nn.Conv2d: + """3x3 convolution with padding""" + return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride, + padding=dilation, groups=groups, bias=False, dilation=dilation) + + +def conv1x1(in_planes: int, out_planes: int, stride: int = 1, bias: bool = False) -> nn.Conv2d: + """1x1 convolution""" + return nn.Conv2d(in_planes, out_planes, kernel_size=1, stride=stride, bias=bias) + + +class BasicBlock(nn.Module): + expansion: int = 1 + + def __init__( + self, + inplanes: int, + planes: int, + stride: int = 1, + downsample: Optional[nn.Module] = None, + groups: int = 1, + base_width: int = 64, + dilation: int = 1, + norm_layer: Optional[Callable[..., nn.Module]] = None + ) -> None: + super(BasicBlock, self).__init__() + if norm_layer is None: + norm_layer = nn.BatchNorm2d + if groups != 1 or base_width != 64: + raise ValueError('BasicBlock only supports groups=1 and base_width=64') + if dilation > 1: + raise NotImplementedError("Dilation > 1 not supported in BasicBlock") + # Both self.conv1 and self.downsample layers downsample the input when stride != 1 + self.conv1 = conv3x3(inplanes, planes, stride) + self.bn1 = norm_layer(planes) + self.relu = nn.ReLU(inplace=True) + self.conv2 = conv3x3(planes, planes) + self.bn2 = norm_layer(planes) + self.downsample = downsample + self.stride = stride + + def forward(self, x: Tensor) -> Tensor: + identity = x + + out = self.conv1(x) + out = self.bn1(out) + out = self.relu(out) + + out = self.conv2(out) + out = self.bn2(out) + + if self.downsample is not None: + identity = self.downsample(x) + + out += identity + out = self.relu(out) + + return out + + +class Bottleneck(nn.Module): + # Bottleneck in torchvision places the stride for downsampling at 3x3 convolution(self.conv2) + # while original implementation places the stride at the first 1x1 convolution(self.conv1) + # according to "Deep residual learning for image recognition"https://arxiv.org/abs/1512.03385. + # This variant is also known as ResNet V1.5 and improves accuracy according to + # https://ngc.nvidia.com/catalog/model-scripts/nvidia:resnet_50_v1_5_for_pytorch. + + expansion: int = 4 + + def __init__( + self, + inplanes: int, + planes: int, + stride: int = 1, + downsample: Optional[nn.Module] = None, + groups: int = 1, + base_width: int = 64, + dilation: int = 1, + norm_layer: Optional[Callable[..., nn.Module]] = None + ) -> None: + super(Bottleneck, self).__init__() + if norm_layer is None: + norm_layer = nn.BatchNorm2d + width = int(planes * (base_width / 64.)) * groups + # Both self.conv2 and self.downsample layers downsample the input when stride != 1 + self.conv1 = conv1x1(inplanes, width) + self.bn1 = norm_layer(width) + self.conv2 = conv3x3(width, width, stride, groups, dilation) + self.bn2 = norm_layer(width) + self.conv3 = conv1x1(width, planes * self.expansion) + self.bn3 = norm_layer(planes * self.expansion) + self.relu = nn.ReLU(inplace=True) + self.downsample = downsample + self.stride = stride + + def forward(self, x: Tensor) -> Tensor: + identity = x + + out = self.conv1(x) + out = self.bn1(out) + out = self.relu(out) + + out = self.conv2(out) + out = self.bn2(out) + out = self.relu(out) + + out = self.conv3(out) + out = self.bn3(out) + + if self.downsample is not None: + identity = self.downsample(x) + + out += identity + out = self.relu(out) + + return out + + +class ResNet(nn.Module): + + def __init__( + self, + block: Type[Union[BasicBlock, Bottleneck]], + layers: List[int], + num_classes: int = 1000, + zero_init_residual: bool = False, + use_last_fc: bool = False, + groups: int = 1, + width_per_group: int = 64, + replace_stride_with_dilation: Optional[List[bool]] = None, + norm_layer: Optional[Callable[..., nn.Module]] = None + ) -> None: + super(ResNet, self).__init__() + if norm_layer is None: + norm_layer = nn.BatchNorm2d + self._norm_layer = norm_layer + + self.inplanes = 64 + self.dilation = 1 + if replace_stride_with_dilation is None: + # each element in the tuple indicates if we should replace + # the 2x2 stride with a dilated convolution instead + replace_stride_with_dilation = [False, False, False] + if len(replace_stride_with_dilation) != 3: + raise ValueError("replace_stride_with_dilation should be None " + "or a 3-element tuple, got {}".format(replace_stride_with_dilation)) + self.use_last_fc = use_last_fc + self.groups = groups + self.base_width = width_per_group + self.conv1 = nn.Conv2d(3, self.inplanes, kernel_size=7, stride=2, padding=3, + bias=False) + self.bn1 = norm_layer(self.inplanes) + self.relu = nn.ReLU(inplace=True) + self.maxpool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1) + self.layer1 = self._make_layer(block, 64, layers[0]) + self.layer2 = self._make_layer(block, 128, layers[1], stride=2, + dilate=replace_stride_with_dilation[0]) + self.layer3 = self._make_layer(block, 256, layers[2], stride=2, + dilate=replace_stride_with_dilation[1]) + self.layer4 = self._make_layer(block, 512, layers[3], stride=2, + dilate=replace_stride_with_dilation[2]) + self.avgpool = nn.AdaptiveAvgPool2d((1, 1)) + + if self.use_last_fc: + self.fc = nn.Linear(512 * block.expansion, num_classes) + + for m in self.modules(): + if isinstance(m, nn.Conv2d): + nn.init.kaiming_normal_(m.weight, mode='fan_out', nonlinearity='relu') + elif isinstance(m, (nn.BatchNorm2d, nn.GroupNorm)): + nn.init.constant_(m.weight, 1) + nn.init.constant_(m.bias, 0) + + + + # Zero-initialize the last BN in each residual branch, + # so that the residual branch starts with zeros, and each residual block behaves like an identity. + # This improves the model by 0.2~0.3% according to https://arxiv.org/abs/1706.02677 + if zero_init_residual: + for m in self.modules(): + if isinstance(m, Bottleneck): + nn.init.constant_(m.bn3.weight, 0) # type: ignore[arg-type] + elif isinstance(m, BasicBlock): + nn.init.constant_(m.bn2.weight, 0) # type: ignore[arg-type] + + def _make_layer(self, block: Type[Union[BasicBlock, Bottleneck]], planes: int, blocks: int, + stride: int = 1, dilate: bool = False) -> nn.Sequential: + norm_layer = self._norm_layer + downsample = None + previous_dilation = self.dilation + if dilate: + self.dilation *= stride + stride = 1 + if stride != 1 or self.inplanes != planes * block.expansion: + downsample = nn.Sequential( + conv1x1(self.inplanes, planes * block.expansion, stride), + norm_layer(planes * block.expansion), + ) + + layers = [] + layers.append(block(self.inplanes, planes, stride, downsample, self.groups, + self.base_width, previous_dilation, norm_layer)) + self.inplanes = planes * block.expansion + for _ in range(1, blocks): + layers.append(block(self.inplanes, planes, groups=self.groups, + base_width=self.base_width, dilation=self.dilation, + norm_layer=norm_layer)) + + return nn.Sequential(*layers) + + def _forward_impl(self, x: Tensor) -> Tensor: + # See note [TorchScript super()] + x = self.conv1(x) + x = self.bn1(x) + x = self.relu(x) + x = self.maxpool(x) + + x = self.layer1(x) + x = self.layer2(x) + x = self.layer3(x) + x = self.layer4(x) + + x = self.avgpool(x) + if self.use_last_fc: + x = torch.flatten(x, 1) + x = self.fc(x) + return x + + def forward(self, x: Tensor) -> Tensor: + return self._forward_impl(x) + + +def _resnet( + arch: str, + block: Type[Union[BasicBlock, Bottleneck]], + layers: List[int], + pretrained: bool, + progress: bool, + **kwargs: Any +) -> ResNet: + model = ResNet(block, layers, **kwargs) + if pretrained: + state_dict = load_state_dict_from_url(model_urls[arch], + progress=progress) + model.load_state_dict(state_dict) + return model + + +def resnet18(pretrained: bool = False, progress: bool = True, **kwargs: Any) -> ResNet: + r"""ResNet-18 model from + `"Deep Residual Learning for Image Recognition" `_. + + Args: + pretrained (bool): If True, returns a model pre-trained on ImageNet + progress (bool): If True, displays a progress bar of the download to stderr + """ + return _resnet('resnet18', BasicBlock, [2, 2, 2, 2], pretrained, progress, + **kwargs) + + +def resnet34(pretrained: bool = False, progress: bool = True, **kwargs: Any) -> ResNet: + r"""ResNet-34 model from + `"Deep Residual Learning for Image Recognition" `_. + + Args: + pretrained (bool): If True, returns a model pre-trained on ImageNet + progress (bool): If True, displays a progress bar of the download to stderr + """ + return _resnet('resnet34', BasicBlock, [3, 4, 6, 3], pretrained, progress, + **kwargs) + + +def resnet50(pretrained: bool = False, progress: bool = True, **kwargs: Any) -> ResNet: + r"""ResNet-50 model from + `"Deep Residual Learning for Image Recognition" `_. + + Args: + pretrained (bool): If True, returns a model pre-trained on ImageNet + progress (bool): If True, displays a progress bar of the download to stderr + """ + return _resnet('resnet50', Bottleneck, [3, 4, 6, 3], pretrained, progress, + **kwargs) + + +def resnet101(pretrained: bool = False, progress: bool = True, **kwargs: Any) -> ResNet: + r"""ResNet-101 model from + `"Deep Residual Learning for Image Recognition" `_. + + Args: + pretrained (bool): If True, returns a model pre-trained on ImageNet + progress (bool): If True, displays a progress bar of the download to stderr + """ + return _resnet('resnet101', Bottleneck, [3, 4, 23, 3], pretrained, progress, + **kwargs) + + +def resnet152(pretrained: bool = False, progress: bool = True, **kwargs: Any) -> ResNet: + r"""ResNet-152 model from + `"Deep Residual Learning for Image Recognition" `_. + + Args: + pretrained (bool): If True, returns a model pre-trained on ImageNet + progress (bool): If True, displays a progress bar of the download to stderr + """ + return _resnet('resnet152', Bottleneck, [3, 8, 36, 3], pretrained, progress, + **kwargs) + + +def resnext50_32x4d(pretrained: bool = False, progress: bool = True, **kwargs: Any) -> ResNet: + r"""ResNeXt-50 32x4d model from + `"Aggregated Residual Transformation for Deep Neural Networks" `_. + + Args: + pretrained (bool): If True, returns a model pre-trained on ImageNet + progress (bool): If True, displays a progress bar of the download to stderr + """ + kwargs['groups'] = 32 + kwargs['width_per_group'] = 4 + return _resnet('resnext50_32x4d', Bottleneck, [3, 4, 6, 3], + pretrained, progress, **kwargs) + + +def resnext101_32x8d(pretrained: bool = False, progress: bool = True, **kwargs: Any) -> ResNet: + r"""ResNeXt-101 32x8d model from + `"Aggregated Residual Transformation for Deep Neural Networks" `_. + + Args: + pretrained (bool): If True, returns a model pre-trained on ImageNet + progress (bool): If True, displays a progress bar of the download to stderr + """ + kwargs['groups'] = 32 + kwargs['width_per_group'] = 8 + return _resnet('resnext101_32x8d', Bottleneck, [3, 4, 23, 3], + pretrained, progress, **kwargs) + + +def wide_resnet50_2(pretrained: bool = False, progress: bool = True, **kwargs: Any) -> ResNet: + r"""Wide ResNet-50-2 model from + `"Wide Residual Networks" `_. + + The model is the same as ResNet except for the bottleneck number of channels + which is twice larger in every block. The number of channels in outer 1x1 + convolutions is the same, e.g. last block in ResNet-50 has 2048-512-2048 + channels, and in Wide ResNet-50-2 has 2048-1024-2048. + + Args: + pretrained (bool): If True, returns a model pre-trained on ImageNet + progress (bool): If True, displays a progress bar of the download to stderr + """ + kwargs['width_per_group'] = 64 * 2 + return _resnet('wide_resnet50_2', Bottleneck, [3, 4, 6, 3], + pretrained, progress, **kwargs) + + +def wide_resnet101_2(pretrained: bool = False, progress: bool = True, **kwargs: Any) -> ResNet: + r"""Wide ResNet-101-2 model from + `"Wide Residual Networks" `_. + + The model is the same as ResNet except for the bottleneck number of channels + which is twice larger in every block. The number of channels in outer 1x1 + convolutions is the same, e.g. last block in ResNet-50 has 2048-512-2048 + channels, and in Wide ResNet-50-2 has 2048-1024-2048. + + Args: + pretrained (bool): If True, returns a model pre-trained on ImageNet + progress (bool): If True, displays a progress bar of the download to stderr + """ + kwargs['width_per_group'] = 64 * 2 + return _resnet('wide_resnet101_2', Bottleneck, [3, 4, 23, 3], + pretrained, progress, **kwargs) + + +func_dict = { + 'resnet18': (resnet18, 512), + 'resnet50': (resnet50, 2048) +} diff --git a/src/face3d/models/template_model.py b/src/face3d/models/template_model.py new file mode 100644 index 0000000000000000000000000000000000000000..dac7b33d5889777eb63c9882a3b9fa094dcab293 --- /dev/null +++ b/src/face3d/models/template_model.py @@ -0,0 +1,100 @@ +"""Model class template + +This module provides a template for users to implement custom models. +You can specify '--model template' to use this model. +The class name should be consistent with both the filename and its model option. +The filename should be _dataset.py +The class name should be Dataset.py +It implements a simple image-to-image translation baseline based on regression loss. +Given input-output pairs (data_A, data_B), it learns a network netG that can minimize the following L1 loss: + min_ ||netG(data_A) - data_B||_1 +You need to implement the following functions: + :　Add model-specific options and rewrite default values for existing options. + <__init__>: Initialize this model class. + : Unpack input data and perform data pre-processing. + : Run forward pass. This will be called by both and . + : Update network weights; it will be called in every training iteration. +""" +import numpy as np +import torch +from .base_model import BaseModel +from . import networks + + +class TemplateModel(BaseModel): + @staticmethod + def modify_commandline_options(parser, is_train=True): + """Add new model-specific options and rewrite default values for existing options. + + Parameters: + parser -- the option parser + is_train -- if it is training phase or test phase. You can use this flag to add training-specific or test-specific options. + + Returns: + the modified parser. + """ + parser.set_defaults(dataset_mode='aligned') # You can rewrite default values for this model. For example, this model usually uses aligned dataset as its dataset. + if is_train: + parser.add_argument('--lambda_regression', type=float, default=1.0, help='weight for the regression loss') # You can define new arguments for this model. + + return parser + + def __init__(self, opt): + """Initialize this model class. + + Parameters: + opt -- training/test options + + A few things can be done here. + - (required) call the initialization function of BaseModel + - define loss function, visualization images, model names, and optimizers + """ + BaseModel.__init__(self, opt) # call the initialization method of BaseModel + # specify the training losses you want to print out. The program will call base_model.get_current_losses to plot the losses to the console and save them to the disk. + self.loss_names = ['loss_G'] + # specify the images you want to save and display. The program will call base_model.get_current_visuals to save and display these images. + self.visual_names = ['data_A', 'data_B', 'output'] + # specify the models you want to save to the disk. The program will call base_model.save_networks and base_model.load_networks to save and load networks. + # you can use opt.isTrain to specify different behaviors for training and test. For example, some networks will not be used during test, and you don't need to load them. + self.model_names = ['G'] + # define networks; you can use opt.isTrain to specify different behaviors for training and test. + self.netG = networks.define_G(opt.input_nc, opt.output_nc, opt.ngf, opt.netG, gpu_ids=self.gpu_ids) + if self.isTrain: # only defined during training time + # define your loss functions. You can use losses provided by torch.nn such as torch.nn.L1Loss. + # We also provide a GANLoss class "networks.GANLoss". self.criterionGAN = networks.GANLoss().to(self.device) + self.criterionLoss = torch.nn.L1Loss() + # define and initialize optimizers. You can define one optimizer for each network. + # If two networks are updated at the same time, you can use itertools.chain to group them. See cycle_gan_model.py for an example. + self.optimizer = torch.optim.Adam(self.netG.parameters(), lr=opt.lr, betas=(opt.beta1, 0.999)) + self.optimizers = [self.optimizer] + + # Our program will automatically call to define schedulers, load networks, and print networks + + def set_input(self, input): + """Unpack input data from the dataloader and perform necessary pre-processing steps. + + Parameters: + input: a dictionary that contains the data itself and its metadata information. + """ + AtoB = self.opt.direction == 'AtoB' # use to swap data_A and data_B + self.data_A = input['A' if AtoB else 'B'].to(self.device) # get image data A + self.data_B = input['B' if AtoB else 'A'].to(self.device) # get image data B + self.image_paths = input['A_paths' if AtoB else 'B_paths'] # get image paths + + def forward(self): + """Run forward pass. This will be called by both functions and .""" + self.output = self.netG(self.data_A) # generate output image given the input data_A + + def backward(self): + """Calculate losses, gradients, and update network weights; called in every training iteration""" + # caculate the intermediate results if necessary; here self.output has been computed during function + # calculate loss given the input and intermediate results + self.loss_G = self.criterionLoss(self.output, self.data_B) * self.opt.lambda_regression + self.loss_G.backward() # calculate gradients of network G w.r.t. loss_G + + def optimize_parameters(self): + """Update network weights; it will be called in every training iteration.""" + self.forward() # first call forward to calculate intermediate results + self.optimizer.zero_grad() # clear network G's existing gradients + self.backward() # calculate gradients for network G + self.optimizer.step() # update gradients for network G diff --git a/src/face3d/options/__init__.py b/src/face3d/options/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e7eedebe54aa70169fd25951b3034d819e396c90 --- /dev/null +++ b/src/face3d/options/__init__.py @@ -0,0 +1 @@ +"""This package options includes option modules: training options, test options, and basic options (used in both training and test).""" diff --git a/src/face3d/options/base_options.py b/src/face3d/options/base_options.py new file mode 100644 index 0000000000000000000000000000000000000000..d8f921d5a43434ae802a55a0fa3889c4b7ab9f6d --- /dev/null +++ b/src/face3d/options/base_options.py @@ -0,0 +1,169 @@ +"""This script contains base options for Deep3DFaceRecon_pytorch +""" + +import argparse +import os +from util import util +import numpy as np +import torch +import face3d.models as models +import face3d.data as data + + +class BaseOptions(): + """This class defines options used during both training and test time. + + It also implements several helper functions such as parsing, printing, and saving the options. + It also gathers additional options defined in functions in both dataset class and model class. + """ + + def __init__(self, cmd_line=None): + """Reset the class; indicates the class hasn't been initailized""" + self.initialized = False + self.cmd_line = None + if cmd_line is not None: + self.cmd_line = cmd_line.split() + + def initialize(self, parser): + """Define the common options that are used in both training and test.""" + # basic parameters + parser.add_argument('--name', type=str, default='face_recon', help='name of the experiment. It decides where to store samples and models') + parser.add_argument('--gpu_ids', type=str, default='0', help='gpu ids: e.g. 0 0,1,2, 0,2. use -1 for CPU') + parser.add_argument('--checkpoints_dir', type=str, default='./checkpoints', help='models are saved here') + parser.add_argument('--vis_batch_nums', type=float, default=1, help='batch nums of images for visulization') + parser.add_argument('--eval_batch_nums', type=float, default=float('inf'), help='batch nums of images for evaluation') + parser.add_argument('--use_ddp', type=util.str2bool, nargs='?', const=True, default=True, help='whether use distributed data parallel') + parser.add_argument('--ddp_port', type=str, default='12355', help='ddp port') + parser.add_argument('--display_per_batch', type=util.str2bool, nargs='?', const=True, default=True, help='whether use batch to show losses') + parser.add_argument('--add_image', type=util.str2bool, nargs='?', const=True, default=True, help='whether add image to tensorboard') + parser.add_argument('--world_size', type=int, default=1, help='batch nums of images for evaluation') + + # model parameters + parser.add_argument('--model', type=str, default='facerecon', help='chooses which model to use.') + + # additional parameters + parser.add_argument('--epoch', type=str, default='latest', help='which epoch to load? set to latest to use latest cached model') + parser.add_argument('--verbose', action='store_true', help='if specified, print more debugging information') + parser.add_argument('--suffix', default='', type=str, help='customized suffix: opt.name = opt.name + suffix: e.g., {model}_{netG}_size{load_size}') + + self.initialized = True + return parser + + def gather_options(self): + """Initialize our parser with basic options(only once). + Add additional model-specific and dataset-specific options. + These options are defined in the function + in model and dataset classes. + """ + if not self.initialized: # check if it has been initialized + parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter) + parser = self.initialize(parser) + + # get the basic options + if self.cmd_line is None: + opt, _ = parser.parse_known_args() + else: + opt, _ = parser.parse_known_args(self.cmd_line) + + # set cuda visible devices + os.environ['CUDA_VISIBLE_DEVICES'] = opt.gpu_ids + + # modify model-related parser options + model_name = opt.model + model_option_setter = models.get_option_setter(model_name) + parser = model_option_setter(parser, self.isTrain) + if self.cmd_line is None: + opt, _ = parser.parse_known_args() # parse again with new defaults + else: + opt, _ = parser.parse_known_args(self.cmd_line) # parse again with new defaults + + # modify dataset-related parser options + if opt.dataset_mode: + dataset_name = opt.dataset_mode + dataset_option_setter = data.get_option_setter(dataset_name) + parser = dataset_option_setter(parser, self.isTrain) + + # save and return the parser + self.parser = parser + if self.cmd_line is None: + return parser.parse_args() + else: + return parser.parse_args(self.cmd_line) + + def print_options(self, opt): + """Print and save options + + It will print both current options and default values(if different). + It will save options into a text file / [checkpoints_dir] / opt.txt + """ + message = '' + message += '----------------- Options ---------------\n' + for k, v in sorted(vars(opt).items()): + comment = '' + default = self.parser.get_default(k) + if v != default: + comment = '\t[default: %s]' % str(default) + message += '{:>25}: {:<30}{}\n'.format(str(k), str(v), comment) + message += '----------------- End -------------------' + print(message) + + # save to the disk + expr_dir = os.path.join(opt.checkpoints_dir, opt.name) + util.mkdirs(expr_dir) + file_name = os.path.join(expr_dir, '{}_opt.txt'.format(opt.phase)) + try: + with open(file_name, 'wt') as opt_file: + opt_file.write(message) + opt_file.write('\n') + except PermissionError as error: + print("permission error {}".format(error)) + pass + + def parse(self): + """Parse our options, create checkpoints directory suffix, and set up gpu device.""" + opt = self.gather_options() + opt.isTrain = self.isTrain # train or test + + # process opt.suffix + if opt.suffix: + suffix = ('_' + opt.suffix.format(**vars(opt))) if opt.suffix != '' else '' + opt.name = opt.name + suffix + + + # set gpu ids + str_ids = opt.gpu_ids.split(',') + gpu_ids = [] + for str_id in str_ids: + id = int(str_id) + if id >= 0: + gpu_ids.append(id) + opt.world_size = len(gpu_ids) + # if len(opt.gpu_ids) > 0: + # torch.cuda.set_device(gpu_ids[0]) + if opt.world_size == 1: + opt.use_ddp = False + + if opt.phase != 'test': + # set continue_train automatically + if opt.pretrained_name is None: + model_dir = os.path.join(opt.checkpoints_dir, opt.name) + else: + model_dir = os.path.join(opt.checkpoints_dir, opt.pretrained_name) + if os.path.isdir(model_dir): + model_pths = [i for i in os.listdir(model_dir) if i.endswith('pth')] + if os.path.isdir(model_dir) and len(model_pths) != 0: + opt.continue_train= True + + # update the latest epoch count + if opt.continue_train: + if opt.epoch == 'latest': + epoch_counts = [int(i.split('.')[0].split('_')[-1]) for i in model_pths if 'latest' not in i] + if len(epoch_counts) != 0: + opt.epoch_count = max(epoch_counts) + 1 + else: + opt.epoch_count = int(opt.epoch) + 1 + + + self.print_options(opt) + self.opt = opt + return self.opt diff --git a/src/face3d/options/inference_options.py b/src/face3d/options/inference_options.py new file mode 100644 index 0000000000000000000000000000000000000000..c453965959ab4cfb31acbc424f994db68c3d4df5 --- /dev/null +++ b/src/face3d/options/inference_options.py @@ -0,0 +1,23 @@ +from face3d.options.base_options import BaseOptions + + +class InferenceOptions(BaseOptions): + """This class includes test options. + + It also includes shared options defined in BaseOptions. + """ + + def initialize(self, parser): + parser = BaseOptions.initialize(self, parser) # define shared options + parser.add_argument('--phase', type=str, default='test', help='train, val, test, etc') + parser.add_argument('--dataset_mode', type=str, default=None, help='chooses how datasets are loaded. [None | flist]') + + parser.add_argument('--input_dir', type=str, help='the folder of the input files') + parser.add_argument('--keypoint_dir', type=str, help='the folder of the keypoint files') + parser.add_argument('--output_dir', type=str, default='mp4', help='the output dir to save the extracted coefficients') + parser.add_argument('--save_split_files', action='store_true', help='save split files or not') + parser.add_argument('--inference_batch_size', type=int, default=8) + + # Dropout and Batchnorm has different behavior during training and test. + self.isTrain = False + return parser diff --git a/src/face3d/options/test_options.py b/src/face3d/options/test_options.py new file mode 100644 index 0000000000000000000000000000000000000000..4ff3ad142779850d1d5a1640bc00f70d34d4a862 --- /dev/null +++ b/src/face3d/options/test_options.py @@ -0,0 +1,21 @@ +"""This script contains the test options for Deep3DFaceRecon_pytorch +""" + +from .base_options import BaseOptions + + +class TestOptions(BaseOptions): + """This class includes test options. + + It also includes shared options defined in BaseOptions. + """ + + def initialize(self, parser): + parser = BaseOptions.initialize(self, parser) # define shared options + parser.add_argument('--phase', type=str, default='test', help='train, val, test, etc') + parser.add_argument('--dataset_mode', type=str, default=None, help='chooses how datasets are loaded. [None | flist]') + parser.add_argument('--img_folder', type=str, default='examples', help='folder for test images.') + + # Dropout and Batchnorm has different behavior during training and test. + self.isTrain = False + return parser diff --git a/src/face3d/options/train_options.py b/src/face3d/options/train_options.py new file mode 100644 index 0000000000000000000000000000000000000000..1337bfdd5f372b5c686a91b394a2aadbe5741f44 --- /dev/null +++ b/src/face3d/options/train_options.py @@ -0,0 +1,53 @@ +"""This script contains the training options for Deep3DFaceRecon_pytorch +""" + +from .base_options import BaseOptions +from util import util + +class TrainOptions(BaseOptions): + """This class includes training options. + + It also includes shared options defined in BaseOptions. + """ + + def initialize(self, parser): + parser = BaseOptions.initialize(self, parser) + # dataset parameters + # for train + parser.add_argument('--data_root', type=str, default='./', help='dataset root') + parser.add_argument('--flist', type=str, default='datalist/train/masks.txt', help='list of mask names of training set') + parser.add_argument('--batch_size', type=int, default=32) + parser.add_argument('--dataset_mode', type=str, default='flist', help='chooses how datasets are loaded. [None | flist]') + parser.add_argument('--serial_batches', action='store_true', help='if true, takes images in order to make batches, otherwise takes them randomly') + parser.add_argument('--num_threads', default=4, type=int, help='# threads for loading data') + parser.add_argument('--max_dataset_size', type=int, default=float("inf"), help='Maximum number of samples allowed per dataset. If the dataset directory contains more than max_dataset_size, only a subset is loaded.') + parser.add_argument('--preprocess', type=str, default='shift_scale_rot_flip', help='scaling and cropping of images at load time [shift_scale_rot_flip | shift_scale | shift | shift_rot_flip ]') + parser.add_argument('--use_aug', type=util.str2bool, nargs='?', const=True, default=True, help='whether use data augmentation') + + # for val + parser.add_argument('--flist_val', type=str, default='datalist/val/masks.txt', help='list of mask names of val set') + parser.add_argument('--batch_size_val', type=int, default=32) + + + # visualization parameters + parser.add_argument('--display_freq', type=int, default=1000, help='frequency of showing training results on screen') + parser.add_argument('--print_freq', type=int, default=100, help='frequency of showing training results on console') + + # network saving and loading parameters + parser.add_argument('--save_latest_freq', type=int, default=5000, help='frequency of saving the latest results') + parser.add_argument('--save_epoch_freq', type=int, default=1, help='frequency of saving checkpoints at the end of epochs') + parser.add_argument('--evaluation_freq', type=int, default=5000, help='evaluation freq') + parser.add_argument('--save_by_iter', action='store_true', help='whether saves model by iteration') + parser.add_argument('--continue_train', action='store_true', help='continue training: load the latest model') + parser.add_argument('--epoch_count', type=int, default=1, help='the starting epoch count, we save the model by , +, ...') + parser.add_argument('--phase', type=str, default='train', help='train, val, test, etc') + parser.add_argument('--pretrained_name', type=str, default=None, help='resume training from another checkpoint') + + # training parameters + parser.add_argument('--n_epochs', type=int, default=20, help='number of epochs with the initial learning rate') + parser.add_argument('--lr', type=float, default=0.0001, help='initial learning rate for adam') + parser.add_argument('--lr_policy', type=str, default='step', help='learning rate policy. [linear | step | plateau | cosine]') + parser.add_argument('--lr_decay_epochs', type=int, default=10, help='multiply by a gamma every lr_decay_epochs epoches') + + self.isTrain = True + return parser diff --git a/src/face3d/util/BBRegressorParam_r.mat b/src/face3d/util/BBRegressorParam_r.mat new file mode 100644 index 0000000000000000000000000000000000000000..1430a94ed2ab570a09f9d980d3585e8aaa933084 Binary files /dev/null and b/src/face3d/util/BBRegressorParam_r.mat differ diff --git a/src/face3d/util/__init__.py b/src/face3d/util/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..04eecb58b62f8c9d11d17606c6241d278a48b9b9 --- /dev/null +++ b/src/face3d/util/__init__.py @@ -0,0 +1,3 @@ +"""This package includes a miscellaneous collection of useful helper functions.""" +from src.face3d.util import * + diff --git a/src/face3d/util/detect_lm68.py b/src/face3d/util/detect_lm68.py new file mode 100644 index 0000000000000000000000000000000000000000..b7e40997289e17405e1fb6c408d21adce7b626ce --- /dev/null +++ b/src/face3d/util/detect_lm68.py @@ -0,0 +1,106 @@ +import os +import cv2 +import numpy as np +from scipy.io import loadmat +import tensorflow as tf +from util.preprocess import align_for_lm +from shutil import move + +mean_face = np.loadtxt('util/test_mean_face.txt') +mean_face = mean_face.reshape([68, 2]) + +def save_label(labels, save_path): + np.savetxt(save_path, labels) + +def draw_landmarks(img, landmark, save_name): + landmark = landmark + lm_img = np.zeros([img.shape[0], img.shape[1], 3]) + lm_img[:] = img.astype(np.float32) + landmark = np.round(landmark).astype(np.int32) + + for i in range(len(landmark)): + for j in range(-1, 1): + for k in range(-1, 1): + if img.shape[0] - 1 - landmark[i, 1]+j > 0 and \ + img.shape[0] - 1 - landmark[i, 1]+j < img.shape[0] and \ + landmark[i, 0]+k > 0 and \ + landmark[i, 0]+k < img.shape[1]: + lm_img[img.shape[0] - 1 - landmark[i, 1]+j, landmark[i, 0]+k, + :] = np.array([0, 0, 255]) + lm_img = lm_img.astype(np.uint8) + + cv2.imwrite(save_name, lm_img) + + +def load_data(img_name, txt_name): + return cv2.imread(img_name), np.loadtxt(txt_name) + +# create tensorflow graph for landmark detector +def load_lm_graph(graph_filename): + with tf.gfile.GFile(graph_filename, 'rb') as f: + graph_def = tf.GraphDef() + graph_def.ParseFromString(f.read()) + + with tf.Graph().as_default() as graph: + tf.import_graph_def(graph_def, name='net') + img_224 = graph.get_tensor_by_name('net/input_imgs:0') + output_lm = graph.get_tensor_by_name('net/lm:0') + lm_sess = tf.Session(graph=graph) + + return lm_sess,img_224,output_lm + +# landmark detection +def detect_68p(img_path,sess,input_op,output_op): + print('detecting landmarks......') + names = [i for i in sorted(os.listdir( + img_path)) if 'jpg' in i or 'png' in i or 'jpeg' in i or 'PNG' in i] + vis_path = os.path.join(img_path, 'vis') + remove_path = os.path.join(img_path, 'remove') + save_path = os.path.join(img_path, 'landmarks') + if not os.path.isdir(vis_path): + os.makedirs(vis_path) + if not os.path.isdir(remove_path): + os.makedirs(remove_path) + if not os.path.isdir(save_path): + os.makedirs(save_path) + + for i in range(0, len(names)): + name = names[i] + print('%05d' % (i), ' ', name) + full_image_name = os.path.join(img_path, name) + txt_name = '.'.join(name.split('.')[:-1]) + '.txt' + full_txt_name = os.path.join(img_path, 'detections', txt_name) # 5 facial landmark path for each image + + # if an image does not have detected 5 facial landmarks, remove it from the training list + if not os.path.isfile(full_txt_name): + move(full_image_name, os.path.join(remove_path, name)) + continue + + # load data + img, five_points = load_data(full_image_name, full_txt_name) + input_img, scale, bbox = align_for_lm(img, five_points) # align for 68 landmark detection + + # if the alignment fails, remove corresponding image from the training list + if scale == 0: + move(full_txt_name, os.path.join( + remove_path, txt_name)) + move(full_image_name, os.path.join(remove_path, name)) + continue + + # detect landmarks + input_img = np.reshape( + input_img, [1, 224, 224, 3]).astype(np.float32) + landmark = sess.run( + output_op, feed_dict={input_op: input_img}) + + # transform back to original image coordinate + landmark = landmark.reshape([68, 2]) + mean_face + landmark[:, 1] = 223 - landmark[:, 1] + landmark = landmark / scale + landmark[:, 0] = landmark[:, 0] + bbox[0] + landmark[:, 1] = landmark[:, 1] + bbox[1] + landmark[:, 1] = img.shape[0] - 1 - landmark[:, 1] + + if i % 100 == 0: + draw_landmarks(img, landmark, os.path.join(vis_path, name)) + save_label(landmark, os.path.join(save_path, txt_name)) diff --git a/src/face3d/util/generate_list.py b/src/face3d/util/generate_list.py new file mode 100644 index 0000000000000000000000000000000000000000..943d906781063c3584a7e5b5c784f8aac0694985 --- /dev/null +++ b/src/face3d/util/generate_list.py @@ -0,0 +1,34 @@ +"""This script is to generate training list files for Deep3DFaceRecon_pytorch +""" + +import os + +# save path to training data +def write_list(lms_list, imgs_list, msks_list, mode='train',save_folder='datalist', save_name=''): + save_path = os.path.join(save_folder, mode) + if not os.path.isdir(save_path): + os.makedirs(save_path) + with open(os.path.join(save_path, save_name + 'landmarks.txt'), 'w') as fd: + fd.writelines([i + '\n' for i in lms_list]) + + with open(os.path.join(save_path, save_name + 'images.txt'), 'w') as fd: + fd.writelines([i + '\n' for i in imgs_list]) + + with open(os.path.join(save_path, save_name + 'masks.txt'), 'w') as fd: + fd.writelines([i + '\n' for i in msks_list]) + +# check if the path is valid +def check_list(rlms_list, rimgs_list, rmsks_list): + lms_list, imgs_list, msks_list = [], [], [] + for i in range(len(rlms_list)): + flag = 'false' + lm_path = rlms_list[i] + im_path = rimgs_list[i] + msk_path = rmsks_list[i] + if os.path.isfile(lm_path) and os.path.isfile(im_path) and os.path.isfile(msk_path): + flag = 'true' + lms_list.append(rlms_list[i]) + imgs_list.append(rimgs_list[i]) + msks_list.append(rmsks_list[i]) + print(i, rlms_list[i], flag) + return lms_list, imgs_list, msks_list diff --git a/src/face3d/util/html.py b/src/face3d/util/html.py new file mode 100644 index 0000000000000000000000000000000000000000..cc3262a1eafda34842e4dbad47bb6ba72f0c5a68 --- /dev/null +++ b/src/face3d/util/html.py @@ -0,0 +1,86 @@ +import dominate +from dominate.tags import meta, h3, table, tr, td, p, a, img, br +import os + + +class HTML: + """This HTML class allows us to save images and write texts into a single HTML file. + + It consists of functions such as (add a text header to the HTML file), + (add a row of images to the HTML file), and (save the HTML to the disk). + It is based on Python library 'dominate', a Python library for creating and manipulating HTML documents using a DOM API. + """ + + def __init__(self, web_dir, title, refresh=0): + """Initialize the HTML classes + + Parameters: + web_dir (str) -- a directory that stores the webpage. HTML file will be created at /index.html; images will be saved at 0: + with self.doc.head: + meta(http_equiv="refresh", content=str(refresh)) + + def get_image_dir(self): + """Return the directory that stores images""" + return self.img_dir + + def add_header(self, text): + """Insert a header to the HTML file + + Parameters: + text (str) -- the header text + """ + with self.doc: + h3(text) + + def add_images(self, ims, txts, links, width=400): + """add images to the HTML file + + Parameters: + ims (str list) -- a list of image paths + txts (str list) -- a list of image names shown on the website + links (str list) -- a list of hyperref links; when you click an image, it will redirect you to a new page + """ + self.t = table(border=1, style="table-layout: fixed;") # Insert a table + self.doc.add(self.t) + with self.t: + with tr(): + for im, txt, link in zip(ims, txts, links): + with td(style="word-wrap: break-word;", halign="center", valign="top"): + with p(): + with a(href=os.path.join('images', link)): + img(style="width:%dpx" % width, src=os.path.join('images', im)) + br() + p(txt) + + def save(self): + """save the current content to the HMTL file""" + html_file = '%s/index.html' % self.web_dir + f = open(html_file, 'wt') + f.write(self.doc.render()) + f.close() + + +if __name__ == '__main__': # we show an example usage here. + html = HTML('web/', 'test_html') + html.add_header('hello world') + + ims, txts, links = [], [], [] + for n in range(4): + ims.append('image_%d.png' % n) + txts.append('text_%d' % n) + links.append('image_%d.png' % n) + html.add_images(ims, txts, links) + html.save() diff --git a/src/face3d/util/load_mats.py b/src/face3d/util/load_mats.py new file mode 100644 index 0000000000000000000000000000000000000000..f9a6fcc71de1d7dad8b0f81c67dc1c213764ff0b --- /dev/null +++ b/src/face3d/util/load_mats.py @@ -0,0 +1,120 @@ +"""This script is to load 3D face model for Deep3DFaceRecon_pytorch +""" + +import numpy as np +from PIL import Image +from scipy.io import loadmat, savemat +from array import array +import os.path as osp + +# load expression basis +def LoadExpBasis(bfm_folder='BFM'): + n_vertex = 53215 + Expbin = open(osp.join(bfm_folder, 'Exp_Pca.bin'), 'rb') + exp_dim = array('i') + exp_dim.fromfile(Expbin, 1) + expMU = array('f') + expPC = array('f') + expMU.fromfile(Expbin, 3*n_vertex) + expPC.fromfile(Expbin, 3*exp_dim[0]*n_vertex) + Expbin.close() + + expPC = np.array(expPC) + expPC = np.reshape(expPC, [exp_dim[0], -1]) + expPC = np.transpose(expPC) + + expEV = np.loadtxt(osp.join(bfm_folder, 'std_exp.txt')) + + return expPC, expEV + + +# transfer original BFM09 to our face model +def transferBFM09(bfm_folder='BFM'): + print('Transfer BFM09 to BFM_model_front......') + original_BFM = loadmat(osp.join(bfm_folder, '01_MorphableModel.mat')) + shapePC = original_BFM['shapePC'] # shape basis + shapeEV = original_BFM['shapeEV'] # corresponding eigen value + shapeMU = original_BFM['shapeMU'] # mean face + texPC = original_BFM['texPC'] # texture basis + texEV = original_BFM['texEV'] # eigen value + texMU = original_BFM['texMU'] # mean texture + + expPC, expEV = LoadExpBasis(bfm_folder) + + # transfer BFM09 to our face model + + idBase = shapePC*np.reshape(shapeEV, [-1, 199]) + idBase = idBase/1e5 # unify the scale to decimeter + idBase = idBase[:, :80] # use only first 80 basis + + exBase = expPC*np.reshape(expEV, [-1, 79]) + exBase = exBase/1e5 # unify the scale to decimeter + exBase = exBase[:, :64] # use only first 64 basis + + texBase = texPC*np.reshape(texEV, [-1, 199]) + texBase = texBase[:, :80] # use only first 80 basis + + # our face model is cropped along face landmarks and contains only 35709 vertex. + # original BFM09 contains 53490 vertex, and expression basis provided by Guo et al. contains 53215 vertex. + # thus we select corresponding vertex to get our face model. + + index_exp = loadmat(osp.join(bfm_folder, 'BFM_front_idx.mat')) + index_exp = index_exp['idx'].astype(np.int32) - 1 # starts from 0 (to 53215) + + index_shape = loadmat(osp.join(bfm_folder, 'BFM_exp_idx.mat')) + index_shape = index_shape['trimIndex'].astype( + np.int32) - 1 # starts from 0 (to 53490) + index_shape = index_shape[index_exp] + + idBase = np.reshape(idBase, [-1, 3, 80]) + idBase = idBase[index_shape, :, :] + idBase = np.reshape(idBase, [-1, 80]) + + texBase = np.reshape(texBase, [-1, 3, 80]) + texBase = texBase[index_shape, :, :] + texBase = np.reshape(texBase, [-1, 80]) + + exBase = np.reshape(exBase, [-1, 3, 64]) + exBase = exBase[index_exp, :, :] + exBase = np.reshape(exBase, [-1, 64]) + + meanshape = np.reshape(shapeMU, [-1, 3])/1e5 + meanshape = meanshape[index_shape, :] + meanshape = np.reshape(meanshape, [1, -1]) + + meantex = np.reshape(texMU, [-1, 3]) + meantex = meantex[index_shape, :] + meantex = np.reshape(meantex, [1, -1]) + + # other info contains triangles, region used for computing photometric loss, + # region used for skin texture regularization, and 68 landmarks index etc. + other_info = loadmat(osp.join(bfm_folder, 'facemodel_info.mat')) + frontmask2_idx = other_info['frontmask2_idx'] + skinmask = other_info['skinmask'] + keypoints = other_info['keypoints'] + point_buf = other_info['point_buf'] + tri = other_info['tri'] + tri_mask2 = other_info['tri_mask2'] + + # save our face model + savemat(osp.join(bfm_folder, 'BFM_model_front.mat'), {'meanshape': meanshape, 'meantex': meantex, 'idBase': idBase, 'exBase': exBase, 'texBase': texBase, + 'tri': tri, 'point_buf': point_buf, 'tri_mask2': tri_mask2, 'keypoints': keypoints, 'frontmask2_idx': frontmask2_idx, 'skinmask': skinmask}) + + +# load landmarks for standard face, which is used for image preprocessing +def load_lm3d(bfm_folder): + + Lm3D = loadmat(osp.join(bfm_folder, 'similarity_Lm3D_all.mat')) + Lm3D = Lm3D['lm'] + + # calculate 5 facial landmarks using 68 landmarks + lm_idx = np.array([31, 37, 40, 43, 46, 49, 55]) - 1 + Lm3D = np.stack([Lm3D[lm_idx[0], :], np.mean(Lm3D[lm_idx[[1, 2]], :], 0), np.mean( + Lm3D[lm_idx[[3, 4]], :], 0), Lm3D[lm_idx[5], :], Lm3D[lm_idx[6], :]], axis=0) + Lm3D = Lm3D[[1, 2, 0, 3, 4], :] + + return Lm3D + + +if __name__ == '__main__': + transferBFM09() \ No newline at end of file diff --git a/src/face3d/util/my_awing_arch.py b/src/face3d/util/my_awing_arch.py new file mode 100644 index 0000000000000000000000000000000000000000..cd5656177dc5a1dde82ffee5d43434bc5e69c88e --- /dev/null +++ b/src/face3d/util/my_awing_arch.py @@ -0,0 +1,378 @@ +import cv2 +import numpy as np +import torch +import torch.nn as nn +import torch.nn.functional as F + + +def calculate_points(heatmaps): + # change heatmaps to landmarks + B, N, H, W = heatmaps.shape + HW = H * W + BN_range = np.arange(B * N) + + heatline = heatmaps.reshape(B, N, HW) + indexes = np.argmax(heatline, axis=2) + + preds = np.stack((indexes % W, indexes // W), axis=2) + preds = preds.astype(np.float, copy=False) + + inr = indexes.ravel() + + heatline = heatline.reshape(B * N, HW) + x_up = heatline[BN_range, inr + 1] + x_down = heatline[BN_range, inr - 1] + # y_up = heatline[BN_range, inr + W] + + if any((inr + W) >= 4096): + y_up = heatline[BN_range, 4095] + else: + y_up = heatline[BN_range, inr + W] + if any((inr - W) <= 0): + y_down = heatline[BN_range, 0] + else: + y_down = heatline[BN_range, inr - W] + + think_diff = np.sign(np.stack((x_up - x_down, y_up - y_down), axis=1)) + think_diff *= .25 + + preds += think_diff.reshape(B, N, 2) + preds += .5 + return preds + + +class AddCoordsTh(nn.Module): + + def __init__(self, x_dim=64, y_dim=64, with_r=False, with_boundary=False): + super(AddCoordsTh, self).__init__() + self.x_dim = x_dim + self.y_dim = y_dim + self.with_r = with_r + self.with_boundary = with_boundary + + def forward(self, input_tensor, heatmap=None): + """ + input_tensor: (batch, c, x_dim, y_dim) + """ + batch_size_tensor = input_tensor.shape[0] + + xx_ones = torch.ones([1, self.y_dim], dtype=torch.int32, device=input_tensor.device) + xx_ones = xx_ones.unsqueeze(-1) + + xx_range = torch.arange(self.x_dim, dtype=torch.int32, device=input_tensor.device).unsqueeze(0) + xx_range = xx_range.unsqueeze(1) + + xx_channel = torch.matmul(xx_ones.float(), xx_range.float()) + xx_channel = xx_channel.unsqueeze(-1) + + yy_ones = torch.ones([1, self.x_dim], dtype=torch.int32, device=input_tensor.device) + yy_ones = yy_ones.unsqueeze(1) + + yy_range = torch.arange(self.y_dim, dtype=torch.int32, device=input_tensor.device).unsqueeze(0) + yy_range = yy_range.unsqueeze(-1) + + yy_channel = torch.matmul(yy_range.float(), yy_ones.float()) + yy_channel = yy_channel.unsqueeze(-1) + + xx_channel = xx_channel.permute(0, 3, 2, 1) + yy_channel = yy_channel.permute(0, 3, 2, 1) + + xx_channel = xx_channel / (self.x_dim - 1) + yy_channel = yy_channel / (self.y_dim - 1) + + xx_channel = xx_channel * 2 - 1 + yy_channel = yy_channel * 2 - 1 + + xx_channel = xx_channel.repeat(batch_size_tensor, 1, 1, 1) + yy_channel = yy_channel.repeat(batch_size_tensor, 1, 1, 1) + + if self.with_boundary and heatmap is not None: + boundary_channel = torch.clamp(heatmap[:, -1:, :, :], 0.0, 1.0) + + zero_tensor = torch.zeros_like(xx_channel) + xx_boundary_channel = torch.where(boundary_channel > 0.05, xx_channel, zero_tensor) + yy_boundary_channel = torch.where(boundary_channel > 0.05, yy_channel, zero_tensor) + if self.with_boundary and heatmap is not None: + xx_boundary_channel = xx_boundary_channel.to(input_tensor.device) + yy_boundary_channel = yy_boundary_channel.to(input_tensor.device) + ret = torch.cat([input_tensor, xx_channel, yy_channel], dim=1) + + if self.with_r: + rr = torch.sqrt(torch.pow(xx_channel, 2) + torch.pow(yy_channel, 2)) + rr = rr / torch.max(rr) + ret = torch.cat([ret, rr], dim=1) + + if self.with_boundary and heatmap is not None: + ret = torch.cat([ret, xx_boundary_channel, yy_boundary_channel], dim=1) + return ret + + +class CoordConvTh(nn.Module): + """CoordConv layer as in the paper.""" + + def __init__(self, x_dim, y_dim, with_r, with_boundary, in_channels, first_one=False, *args, **kwargs): + super(CoordConvTh, self).__init__() + self.addcoords = AddCoordsTh(x_dim=x_dim, y_dim=y_dim, with_r=with_r, with_boundary=with_boundary) + in_channels += 2 + if with_r: + in_channels += 1 + if with_boundary and not first_one: + in_channels += 2 + self.conv = nn.Conv2d(in_channels=in_channels, *args, **kwargs) + + def forward(self, input_tensor, heatmap=None): + ret = self.addcoords(input_tensor, heatmap) + last_channel = ret[:, -2:, :, :] + ret = self.conv(ret) + return ret, last_channel + + +def conv3x3(in_planes, out_planes, strd=1, padding=1, bias=False, dilation=1): + '3x3 convolution with padding' + return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=strd, padding=padding, bias=bias, dilation=dilation) + + +class BasicBlock(nn.Module): + expansion = 1 + + def __init__(self, inplanes, planes, stride=1, downsample=None): + super(BasicBlock, self).__init__() + self.conv1 = conv3x3(inplanes, planes, stride) + # self.bn1 = nn.BatchNorm2d(planes) + self.relu = nn.ReLU(inplace=True) + self.conv2 = conv3x3(planes, planes) + # self.bn2 = nn.BatchNorm2d(planes) + self.downsample = downsample + self.stride = stride + + def forward(self, x): + residual = x + + out = self.conv1(x) + out = self.relu(out) + + out = self.conv2(out) + + if self.downsample is not None: + residual = self.downsample(x) + + out += residual + out = self.relu(out) + + return out + + +class ConvBlock(nn.Module): + + def __init__(self, in_planes, out_planes): + super(ConvBlock, self).__init__() + self.bn1 = nn.BatchNorm2d(in_planes) + self.conv1 = conv3x3(in_planes, int(out_planes / 2)) + self.bn2 = nn.BatchNorm2d(int(out_planes / 2)) + self.conv2 = conv3x3(int(out_planes / 2), int(out_planes / 4), padding=1, dilation=1) + self.bn3 = nn.BatchNorm2d(int(out_planes / 4)) + self.conv3 = conv3x3(int(out_planes / 4), int(out_planes / 4), padding=1, dilation=1) + + if in_planes != out_planes: + self.downsample = nn.Sequential( + nn.BatchNorm2d(in_planes), + nn.ReLU(True), + nn.Conv2d(in_planes, out_planes, kernel_size=1, stride=1, bias=False), + ) + else: + self.downsample = None + + def forward(self, x): + residual = x + + out1 = self.bn1(x) + out1 = F.relu(out1, True) + out1 = self.conv1(out1) + + out2 = self.bn2(out1) + out2 = F.relu(out2, True) + out2 = self.conv2(out2) + + out3 = self.bn3(out2) + out3 = F.relu(out3, True) + out3 = self.conv3(out3) + + out3 = torch.cat((out1, out2, out3), 1) + + if self.downsample is not None: + residual = self.downsample(residual) + + out3 += residual + + return out3 + + +class HourGlass(nn.Module): + + def __init__(self, num_modules, depth, num_features, first_one=False): + super(HourGlass, self).__init__() + self.num_modules = num_modules + self.depth = depth + self.features = num_features + self.coordconv = CoordConvTh( + x_dim=64, + y_dim=64, + with_r=True, + with_boundary=True, + in_channels=256, + first_one=first_one, + out_channels=256, + kernel_size=1, + stride=1, + padding=0) + self._generate_network(self.depth) + + def _generate_network(self, level): + self.add_module('b1_' + str(level), ConvBlock(256, 256)) + + self.add_module('b2_' + str(level), ConvBlock(256, 256)) + + if level > 1: + self._generate_network(level - 1) + else: + self.add_module('b2_plus_' + str(level), ConvBlock(256, 256)) + + self.add_module('b3_' + str(level), ConvBlock(256, 256)) + + def _forward(self, level, inp): + # Upper branch + up1 = inp + up1 = self._modules['b1_' + str(level)](up1) + + # Lower branch + low1 = F.avg_pool2d(inp, 2, stride=2) + low1 = self._modules['b2_' + str(level)](low1) + + if level > 1: + low2 = self._forward(level - 1, low1) + else: + low2 = low1 + low2 = self._modules['b2_plus_' + str(level)](low2) + + low3 = low2 + low3 = self._modules['b3_' + str(level)](low3) + + up2 = F.interpolate(low3, scale_factor=2, mode='nearest') + + return up1 + up2 + + def forward(self, x, heatmap): + x, last_channel = self.coordconv(x, heatmap) + return self._forward(self.depth, x), last_channel + + +class FAN(nn.Module): + + def __init__(self, num_modules=1, end_relu=False, gray_scale=False, num_landmarks=68, device='cuda'): + super(FAN, self).__init__() + self.device = device + self.num_modules = num_modules + self.gray_scale = gray_scale + self.end_relu = end_relu + self.num_landmarks = num_landmarks + + # Base part + if self.gray_scale: + self.conv1 = CoordConvTh( + x_dim=256, + y_dim=256, + with_r=True, + with_boundary=False, + in_channels=3, + out_channels=64, + kernel_size=7, + stride=2, + padding=3) + else: + self.conv1 = CoordConvTh( + x_dim=256, + y_dim=256, + with_r=True, + with_boundary=False, + in_channels=3, + out_channels=64, + kernel_size=7, + stride=2, + padding=3) + self.bn1 = nn.BatchNorm2d(64) + self.conv2 = ConvBlock(64, 128) + self.conv3 = ConvBlock(128, 128) + self.conv4 = ConvBlock(128, 256) + + # Stacking part + for hg_module in range(self.num_modules): + if hg_module == 0: + first_one = True + else: + first_one = False + self.add_module('m' + str(hg_module), HourGlass(1, 4, 256, first_one)) + self.add_module('top_m_' + str(hg_module), ConvBlock(256, 256)) + self.add_module('conv_last' + str(hg_module), nn.Conv2d(256, 256, kernel_size=1, stride=1, padding=0)) + self.add_module('bn_end' + str(hg_module), nn.BatchNorm2d(256)) + self.add_module('l' + str(hg_module), nn.Conv2d(256, num_landmarks + 1, kernel_size=1, stride=1, padding=0)) + + if hg_module < self.num_modules - 1: + self.add_module('bl' + str(hg_module), nn.Conv2d(256, 256, kernel_size=1, stride=1, padding=0)) + self.add_module('al' + str(hg_module), + nn.Conv2d(num_landmarks + 1, 256, kernel_size=1, stride=1, padding=0)) + + def forward(self, x): + x, _ = self.conv1(x) + x = F.relu(self.bn1(x), True) + # x = F.relu(self.bn1(self.conv1(x)), True) + x = F.avg_pool2d(self.conv2(x), 2, stride=2) + x = self.conv3(x) + x = self.conv4(x) + + previous = x + + outputs = [] + boundary_channels = [] + tmp_out = None + for i in range(self.num_modules): + hg, boundary_channel = self._modules['m' + str(i)](previous, tmp_out) + + ll = hg + ll = self._modules['top_m_' + str(i)](ll) + + ll = F.relu(self._modules['bn_end' + str(i)](self._modules['conv_last' + str(i)](ll)), True) + + # Predict heatmaps + tmp_out = self._modules['l' + str(i)](ll) + if self.end_relu: + tmp_out = F.relu(tmp_out) # HACK: Added relu + outputs.append(tmp_out) + boundary_channels.append(boundary_channel) + + if i < self.num_modules - 1: + ll = self._modules['bl' + str(i)](ll) + tmp_out_ = self._modules['al' + str(i)](tmp_out) + previous = previous + ll + tmp_out_ + + return outputs, boundary_channels + + def get_landmarks(self, img): + H, W, _ = img.shape + offset = W / 64, H / 64, 0, 0 + + img = cv2.resize(img, (256, 256)) + inp = img[..., ::-1] + inp = torch.from_numpy(np.ascontiguousarray(inp.transpose((2, 0, 1)))).float() + inp = inp.to(self.device) + inp.div_(255.0).unsqueeze_(0) + + outputs, _ = self.forward(inp) + out = outputs[-1][:, :-1, :, :] + heatmaps = out.detach().cpu().numpy() + + pred = calculate_points(heatmaps).reshape(-1, 2) + + pred *= offset[:2] + pred += offset[-2:] + + return pred diff --git a/src/face3d/util/nvdiffrast.py b/src/face3d/util/nvdiffrast.py new file mode 100644 index 0000000000000000000000000000000000000000..f3245859c650afbfe841a66b74cddefaf28820d9 --- /dev/null +++ b/src/face3d/util/nvdiffrast.py @@ -0,0 +1,126 @@ +"""This script is the differentiable renderer for Deep3DFaceRecon_pytorch + Attention, antialiasing step is missing in current version. +""" +import pytorch3d.ops +import torch +import torch.nn.functional as F +import kornia +from kornia.geometry.camera import pixel2cam +import numpy as np +from typing import List +from scipy.io import loadmat +from torch import nn + +from pytorch3d.structures import Meshes +from pytorch3d.renderer import ( + look_at_view_transform, + FoVPerspectiveCameras, + DirectionalLights, + RasterizationSettings, + MeshRenderer, + MeshRasterizer, + SoftPhongShader, + TexturesUV, +) + +# def ndc_projection(x=0.1, n=1.0, f=50.0): +# return np.array([[n/x, 0, 0, 0], +# [ 0, n/-x, 0, 0], +# [ 0, 0, -(f+n)/(f-n), -(2*f*n)/(f-n)], +# [ 0, 0, -1, 0]]).astype(np.float32) + +class MeshRenderer(nn.Module): + def __init__(self, + rasterize_fov, + znear=0.1, + zfar=10, + rasterize_size=224): + super(MeshRenderer, self).__init__() + + # x = np.tan(np.deg2rad(rasterize_fov * 0.5)) * znear + # self.ndc_proj = torch.tensor(ndc_projection(x=x, n=znear, f=zfar)).matmul( + # torch.diag(torch.tensor([1., -1, -1, 1]))) + self.rasterize_size = rasterize_size + self.fov = rasterize_fov + self.znear = znear + self.zfar = zfar + + self.rasterizer = None + + def forward(self, vertex, tri, feat=None): + """ + Return: + mask -- torch.tensor, size (B, 1, H, W) + depth -- torch.tensor, size (B, 1, H, W) + features(optional) -- torch.tensor, size (B, C, H, W) if feat is not None + + Parameters: + vertex -- torch.tensor, size (B, N, 3) + tri -- torch.tensor, size (B, M, 3) or (M, 3), triangles + feat(optional) -- torch.tensor, size (B, N ,C), features + """ + device = vertex.device + rsize = int(self.rasterize_size) + # ndc_proj = self.ndc_proj.to(device) + # trans to homogeneous coordinates of 3d vertices, the direction of y is the same as v + if vertex.shape[-1] == 3: + vertex = torch.cat([vertex, torch.ones([*vertex.shape[:2], 1]).to(device)], dim=-1) + vertex[..., 0] = -vertex[..., 0] + + + # vertex_ndc = vertex @ ndc_proj.t() + if self.rasterizer is None: + self.rasterizer = MeshRasterizer() + print("create rasterizer on device cuda:%d"%device.index) + + # ranges = None + # if isinstance(tri, List) or len(tri.shape) == 3: + # vum = vertex_ndc.shape[1] + # fnum = torch.tensor([f.shape[0] for f in tri]).unsqueeze(1).to(device) + # fstartidx = torch.cumsum(fnum, dim=0) - fnum + # ranges = torch.cat([fstartidx, fnum], axis=1).type(torch.int32).cpu() + # for i in range(tri.shape[0]): + # tri[i] = tri[i] + i*vum + # vertex_ndc = torch.cat(vertex_ndc, dim=0) + # tri = torch.cat(tri, dim=0) + + # for range_mode vetex: [B*N, 4], tri: [B*M, 3], for instance_mode vetex: [B, N, 4], tri: [M, 3] + tri = tri.type(torch.int32).contiguous() + + # rasterize + cameras = FoVPerspectiveCameras( + device=device, + fov=self.fov, + znear=self.znear, + zfar=self.zfar, + ) + + raster_settings = RasterizationSettings( + image_size=rsize + ) + + # print(vertex.shape, tri.shape) + mesh = Meshes(vertex.contiguous()[...,:3], tri.unsqueeze(0).repeat((vertex.shape[0],1,1))) + + fragments = self.rasterizer(mesh, cameras = cameras, raster_settings = raster_settings) + rast_out = fragments.pix_to_face.squeeze(-1) + depth = fragments.zbuf + + # render depth + depth = depth.permute(0, 3, 1, 2) + mask = (rast_out > 0).float().unsqueeze(1) + depth = mask * depth + + + image = None + if feat is not None: + attributes = feat.reshape(-1,3)[mesh.faces_packed()] + image = pytorch3d.ops.interpolate_face_attributes(fragments.pix_to_face, + fragments.bary_coords, + attributes) + # print(image.shape) + image = image.squeeze(-2).permute(0, 3, 1, 2) + image = mask * image + + return mask, depth, image + diff --git a/src/face3d/util/preprocess.py b/src/face3d/util/preprocess.py new file mode 100644 index 0000000000000000000000000000000000000000..b77a3a4058c208e5ba8cb1cfbb563954a5f7a3e2 --- /dev/null +++ b/src/face3d/util/preprocess.py @@ -0,0 +1,103 @@ +"""This script contains the image preprocessing code for Deep3DFaceRecon_pytorch +""" + +import numpy as np +from scipy.io import loadmat +from PIL import Image +import cv2 +import os +from skimage import transform as trans +import torch +import warnings +warnings.filterwarnings("ignore", category=np.VisibleDeprecationWarning) +warnings.filterwarnings("ignore", category=FutureWarning) + + +# calculating least square problem for image alignment +def POS(xp, x): + npts = xp.shape[1] + + A = np.zeros([2*npts, 8]) + + A[0:2*npts-1:2, 0:3] = x.transpose() + A[0:2*npts-1:2, 3] = 1 + + A[1:2*npts:2, 4:7] = x.transpose() + A[1:2*npts:2, 7] = 1 + + b = np.reshape(xp.transpose(), [2*npts, 1]) + + k, _, _, _ = np.linalg.lstsq(A, b) + + R1 = k[0:3] + R2 = k[4:7] + sTx = k[3] + sTy = k[7] + s = (np.linalg.norm(R1) + np.linalg.norm(R2))/2 + t = np.stack([sTx, sTy], axis=0) + + return t, s + +# resize and crop images for face reconstruction +def resize_n_crop_img(img, lm, t, s, target_size=224., mask=None): + w0, h0 = img.size + w = (w0*s).astype(np.int32) + h = (h0*s).astype(np.int32) + left = (w/2 - target_size/2 + float((t[0] - w0/2)*s)).astype(np.int32) + right = left + target_size + up = (h/2 - target_size/2 + float((h0/2 - t[1])*s)).astype(np.int32) + below = up + target_size + + img = img.resize((w, h), resample=Image.BICUBIC) + img = img.crop((left, up, right, below)) + + if mask is not None: + mask = mask.resize((w, h), resample=Image.BICUBIC) + mask = mask.crop((left, up, right, below)) + + lm = np.stack([lm[:, 0] - t[0] + w0/2, lm[:, 1] - + t[1] + h0/2], axis=1)*s + lm = lm - np.reshape( + np.array([(w/2 - target_size/2), (h/2-target_size/2)]), [1, 2]) + + return img, lm, mask + +# utils for face reconstruction +def extract_5p(lm): + lm_idx = np.array([31, 37, 40, 43, 46, 49, 55]) - 1 + lm5p = np.stack([lm[lm_idx[0], :], np.mean(lm[lm_idx[[1, 2]], :], 0), np.mean( + lm[lm_idx[[3, 4]], :], 0), lm[lm_idx[5], :], lm[lm_idx[6], :]], axis=0) + lm5p = lm5p[[1, 2, 0, 3, 4], :] + return lm5p + +# utils for face reconstruction +def align_img(img, lm, lm3D, mask=None, target_size=224., rescale_factor=102.): + """ + Return: + transparams --numpy.array (raw_W, raw_H, scale, tx, ty) + img_new --PIL.Image (target_size, target_size, 3) + lm_new --numpy.array (68, 2), y direction is opposite to v direction + mask_new --PIL.Image (target_size, target_size) + + Parameters: + img --PIL.Image (raw_H, raw_W, 3) + lm --numpy.array (68, 2), y direction is opposite to v direction + lm3D --numpy.array (5, 3) + mask --PIL.Image (raw_H, raw_W, 3) + """ + + w0, h0 = img.size + if lm.shape[0] != 5: + lm5p = extract_5p(lm) + else: + lm5p = lm + + # calculate translation and scale factors using 5 facial landmarks and standard landmarks of a 3D face + t, s = POS(lm5p.transpose(), lm3D.transpose()) + s = rescale_factor/s + + # processing the image + img_new, lm_new, mask_new = resize_n_crop_img(img, lm, t, s, target_size=target_size, mask=mask) + trans_params = np.array([w0, h0, s, t[0], t[1]]) + + return trans_params, img_new, lm_new, mask_new diff --git a/src/face3d/util/skin_mask.py b/src/face3d/util/skin_mask.py new file mode 100644 index 0000000000000000000000000000000000000000..a8a74e4c3b40d13b0258b83a12f56321a85bb179 --- /dev/null +++ b/src/face3d/util/skin_mask.py @@ -0,0 +1,125 @@ +"""This script is to generate skin attention mask for Deep3DFaceRecon_pytorch +""" + +import math +import numpy as np +import os +import cv2 + +class GMM: + def __init__(self, dim, num, w, mu, cov, cov_det, cov_inv): + self.dim = dim # feature dimension + self.num = num # number of Gaussian components + self.w = w # weights of Gaussian components (a list of scalars) + self.mu= mu # mean of Gaussian components (a list of 1xdim vectors) + self.cov = cov # covariance matrix of Gaussian components (a list of dimxdim matrices) + self.cov_det = cov_det # pre-computed determinet of covariance matrices (a list of scalars) + self.cov_inv = cov_inv # pre-computed inverse covariance matrices (a list of dimxdim matrices) + + self.factor = [0]*num + for i in range(self.num): + self.factor[i] = (2*math.pi)**(self.dim/2) * self.cov_det[i]**0.5 + + def likelihood(self, data): + assert(data.shape[1] == self.dim) + N = data.shape[0] + lh = np.zeros(N) + + for i in range(self.num): + data_ = data - self.mu[i] + + tmp = np.matmul(data_,self.cov_inv[i]) * data_ + tmp = np.sum(tmp,axis=1) + power = -0.5 * tmp + + p = np.array([math.exp(power[j]) for j in range(N)]) + p = p/self.factor[i] + lh += p*self.w[i] + + return lh + + +def _rgb2ycbcr(rgb): + m = np.array([[65.481, 128.553, 24.966], + [-37.797, -74.203, 112], + [112, -93.786, -18.214]]) + shape = rgb.shape + rgb = rgb.reshape((shape[0] * shape[1], 3)) + ycbcr = np.dot(rgb, m.transpose() / 255.) + ycbcr[:, 0] += 16. + ycbcr[:, 1:] += 128. + return ycbcr.reshape(shape) + + +def _bgr2ycbcr(bgr): + rgb = bgr[..., ::-1] + return _rgb2ycbcr(rgb) + + +gmm_skin_w = [0.24063933, 0.16365987, 0.26034665, 0.33535415] +gmm_skin_mu = [np.array([113.71862, 103.39613, 164.08226]), + np.array([150.19858, 105.18467, 155.51428]), + np.array([183.92976, 107.62468, 152.71820]), + np.array([114.90524, 113.59782, 151.38217])] +gmm_skin_cov_det = [5692842.5, 5851930.5, 2329131., 1585971.] +gmm_skin_cov_inv = [np.array([[0.0019472069, 0.0020450759, -0.00060243998],[0.0020450759, 0.017700525, 0.0051420014],[-0.00060243998, 0.0051420014, 0.0081308950]]), + np.array([[0.0027110141, 0.0011036990, 0.0023122299],[0.0011036990, 0.010707724, 0.010742856],[0.0023122299, 0.010742856, 0.017481629]]), + np.array([[0.0048026871, 0.00022935172, 0.0077668377],[0.00022935172, 0.011729696, 0.0081661865],[0.0077668377, 0.0081661865, 0.025374353]]), + np.array([[0.0011989699, 0.0022453172, -0.0010748957],[0.0022453172, 0.047758564, 0.020332102],[-0.0010748957, 0.020332102, 0.024502251]])] + +gmm_skin = GMM(3, 4, gmm_skin_w, gmm_skin_mu, [], gmm_skin_cov_det, gmm_skin_cov_inv) + +gmm_nonskin_w = [0.12791070, 0.31130761, 0.34245777, 0.21832393] +gmm_nonskin_mu = [np.array([99.200851, 112.07533, 140.20602]), + np.array([110.91392, 125.52969, 130.19237]), + np.array([129.75864, 129.96107, 126.96808]), + np.array([112.29587, 128.85121, 129.05431])] +gmm_nonskin_cov_det = [458703648., 6466488., 90611376., 133097.63] +gmm_nonskin_cov_inv = [np.array([[0.00085371657, 0.00071197288, 0.00023958916],[0.00071197288, 0.0025935620, 0.00076557708],[0.00023958916, 0.00076557708, 0.0015042332]]), + np.array([[0.00024650150, 0.00045542428, 0.00015019422],[0.00045542428, 0.026412144, 0.018419769],[0.00015019422, 0.018419769, 0.037497383]]), + np.array([[0.00037054974, 0.00038146760, 0.00040408765],[0.00038146760, 0.0085505722, 0.0079136286],[0.00040408765, 0.0079136286, 0.010982352]]), + np.array([[0.00013709733, 0.00051228428, 0.00012777430],[0.00051228428, 0.28237113, 0.10528370],[0.00012777430, 0.10528370, 0.23468947]])] + +gmm_nonskin = GMM(3, 4, gmm_nonskin_w, gmm_nonskin_mu, [], gmm_nonskin_cov_det, gmm_nonskin_cov_inv) + +prior_skin = 0.8 +prior_nonskin = 1 - prior_skin + + +# calculate skin attention mask +def skinmask(imbgr): + im = _bgr2ycbcr(imbgr) + + data = im.reshape((-1,3)) + + lh_skin = gmm_skin.likelihood(data) + lh_nonskin = gmm_nonskin.likelihood(data) + + tmp1 = prior_skin * lh_skin + tmp2 = prior_nonskin * lh_nonskin + post_skin = tmp1 / (tmp1+tmp2) # posterior probability + + post_skin = post_skin.reshape((im.shape[0],im.shape[1])) + + post_skin = np.round(post_skin*255) + post_skin = post_skin.astype(np.uint8) + post_skin = np.tile(np.expand_dims(post_skin,2),[1,1,3]) # reshape to H*W*3 + + return post_skin + + +def get_skin_mask(img_path): + print('generating skin masks......') + names = [i for i in sorted(os.listdir( + img_path)) if 'jpg' in i or 'png' in i or 'jpeg' in i or 'PNG' in i] + save_path = os.path.join(img_path, 'mask') + if not os.path.isdir(save_path): + os.makedirs(save_path) + + for i in range(0, len(names)): + name = names[i] + print('%05d' % (i), ' ', name) + full_image_name = os.path.join(img_path, name) + img = cv2.imread(full_image_name).astype(np.float32) + skin_img = skinmask(img) + cv2.imwrite(os.path.join(save_path, name), skin_img.astype(np.uint8)) diff --git a/src/face3d/util/test_mean_face.txt b/src/face3d/util/test_mean_face.txt new file mode 100644 index 0000000000000000000000000000000000000000..3a46d4db7699ffed8f898fcee64099631509946d --- /dev/null +++ b/src/face3d/util/test_mean_face.txt @@ -0,0 +1,136 @@ +-5.228591537475585938e+01 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+5.181709289550781250e+00 +-4.649170684814453125e+01 +-1.158607482910156250e+00 +-4.680406951904296875e+01 +-7.918922424316406250e+00 +-4.671575164794921875e+01 +-1.452505493164062500e+01 +-4.416526031494140625e+01 +-2.005007171630859375e+01 +-3.997841644287109375e+01 +-1.054919433593750000e+01 +-3.849683380126953125e+01 +-1.051826477050781250e+00 +-3.794863128662109375e+01 +6.412681579589843750e+00 +-3.804645538330078125e+01 +1.627674865722656250e+01 +-4.039697265625000000e+01 +6.373878479003906250e+00 +-4.087213897705078125e+01 +-8.551712036132812500e-01 +-4.157129669189453125e+01 +-1.014953613281250000e+01 +-4.128469085693359375e+01 diff --git a/src/face3d/util/util.py b/src/face3d/util/util.py new file mode 100644 index 0000000000000000000000000000000000000000..0d689ca138fc0fbf5bec794511ea0f9e638f9ea9 --- /dev/null +++ b/src/face3d/util/util.py @@ -0,0 +1,208 @@ +"""This script contains basic utilities for Deep3DFaceRecon_pytorch +""" +from __future__ import print_function +import numpy as np +import torch +from PIL import Image +import os +import importlib +import argparse +from argparse import Namespace +import torchvision + + +def str2bool(v): + if isinstance(v, bool): + return v + if v.lower() in ('yes', 'true', 't', 'y', '1'): + return True + elif v.lower() in ('no', 'false', 'f', 'n', '0'): + return False + else: + raise argparse.ArgumentTypeError('Boolean value expected.') + + +def copyconf(default_opt, **kwargs): + conf = Namespace(**vars(default_opt)) + for key in kwargs: + setattr(conf, key, kwargs[key]) + return conf + +def genvalconf(train_opt, **kwargs): + conf = Namespace(**vars(train_opt)) + attr_dict = train_opt.__dict__ + for key, value in attr_dict.items(): + if 'val' in key and key.split('_')[0] in attr_dict: + setattr(conf, key.split('_')[0], value) + + for key in kwargs: + setattr(conf, key, kwargs[key]) + + return conf + +def find_class_in_module(target_cls_name, module): + target_cls_name = target_cls_name.replace('_', '').lower() + clslib = importlib.import_module(module) + cls = None + for name, clsobj in clslib.__dict__.items(): + if name.lower() == target_cls_name: + cls = clsobj + + assert cls is not None, "In %s, there should be a class whose name matches %s in lowercase without underscore(_)" % (module, target_cls_name) + + return cls + + +def tensor2im(input_image, imtype=np.uint8): + """"Converts a Tensor array into a numpy image array. + + Parameters: + input_image (tensor) -- the input image tensor array, range(0, 1) + imtype (type) -- the desired type of the converted numpy array + """ + if not isinstance(input_image, np.ndarray): + if isinstance(input_image, torch.Tensor): # get the data from a variable + image_tensor = input_image.data + else: + return input_image + image_numpy = image_tensor.clamp(0.0, 1.0).cpu().float().numpy() # convert it into a numpy array + if image_numpy.shape[0] == 1: # grayscale to RGB + image_numpy = np.tile(image_numpy, (3, 1, 1)) + image_numpy = np.transpose(image_numpy, (1, 2, 0)) * 255.0 # post-processing: tranpose and scaling + else: # if it is a numpy array, do nothing + image_numpy = input_image + return image_numpy.astype(imtype) + + +def diagnose_network(net, name='network'): + """Calculate and print the mean of average absolute(gradients) + + Parameters: + net (torch network) -- Torch network + name (str) -- the name of the network + """ + mean = 0.0 + count = 0 + for param in net.parameters(): + if param.grad is not None: + mean += torch.mean(torch.abs(param.grad.data)) + count += 1 + if count > 0: + mean = mean / count + print(name) + print(mean) + + +def save_image(image_numpy, image_path, aspect_ratio=1.0): + """Save a numpy image to the disk + + Parameters: + image_numpy (numpy array) -- input numpy array + image_path (str) -- the path of the image + """ + + image_pil = Image.fromarray(image_numpy) + h, w, _ = image_numpy.shape + + if aspect_ratio is None: + pass + elif aspect_ratio > 1.0: + image_pil = image_pil.resize((h, int(w * aspect_ratio)), Image.BICUBIC) + elif aspect_ratio < 1.0: + image_pil = image_pil.resize((int(h / aspect_ratio), w), Image.BICUBIC) + image_pil.save(image_path) + + +def print_numpy(x, val=True, shp=False): + """Print the mean, min, max, median, std, and size of a numpy array + + Parameters: + val (bool) -- if print the values of the numpy array + shp (bool) -- if print the shape of the numpy array + """ + x = x.astype(np.float64) + if shp: + print('shape,', x.shape) + if val: + x = x.flatten() + print('mean = %3.3f, min = %3.3f, max = %3.3f, median = %3.3f, std=%3.3f' % ( + np.mean(x), np.min(x), np.max(x), np.median(x), np.std(x))) + + +def mkdirs(paths): + """create empty directories if they don't exist + + Parameters: + paths (str list) -- a list of directory paths + """ + if isinstance(paths, list) and not isinstance(paths, str): + for path in paths: + mkdir(path) + else: + mkdir(paths) + + +def mkdir(path): + """create a single empty directory if it didn't exist + + Parameters: + path (str) -- a single directory path + """ + if not os.path.exists(path): + os.makedirs(path) + + +def correct_resize_label(t, size): + device = t.device + t = t.detach().cpu() + resized = [] + for i in range(t.size(0)): + one_t = t[i, :1] + one_np = np.transpose(one_t.numpy().astype(np.uint8), (1, 2, 0)) + one_np = one_np[:, :, 0] + one_image = Image.fromarray(one_np).resize(size, Image.NEAREST) + resized_t = torch.from_numpy(np.array(one_image)).long() + resized.append(resized_t) + return torch.stack(resized, dim=0).to(device) + + +def correct_resize(t, size, mode=Image.BICUBIC): + device = t.device + t = t.detach().cpu() + resized = [] + for i in range(t.size(0)): + one_t = t[i:i + 1] + one_image = Image.fromarray(tensor2im(one_t)).resize(size, Image.BICUBIC) + resized_t = torchvision.transforms.functional.to_tensor(one_image) * 2 - 1.0 + resized.append(resized_t) + return torch.stack(resized, dim=0).to(device) + +def draw_landmarks(img, landmark, color='r', step=2): + """ + Return: + img -- numpy.array, (B, H, W, 3) img with landmark, RGB order, range (0, 255) + + + Parameters: + img -- numpy.array, (B, H, W, 3), RGB order, range (0, 255) + landmark -- numpy.array, (B, 68, 2), y direction is opposite to v direction + color -- str, 'r' or 'b' (red or blue) + """ + if color =='r': + c = np.array([255., 0, 0]) + else: + c = np.array([0, 0, 255.]) + + _, H, W, _ = img.shape + img, landmark = img.copy(), landmark.copy() + landmark[..., 1] = H - 1 - landmark[..., 1] + landmark = np.round(landmark).astype(np.int32) + for i in range(landmark.shape[1]): + x, y = landmark[:, i, 0], landmark[:, i, 1] + for j in range(-step, step): + for k in range(-step, step): + u = np.clip(x + j, 0, W - 1) + v = np.clip(y + k, 0, H - 1) + for m in range(landmark.shape[0]): + img[m, v[m], u[m]] = c + return img diff --git a/src/face3d/util/visualizer.py b/src/face3d/util/visualizer.py new file mode 100644 index 0000000000000000000000000000000000000000..4023a6d4086acba9bc88e079f625194d324d7c9e --- /dev/null +++ b/src/face3d/util/visualizer.py @@ -0,0 +1,227 @@ +"""This script defines the visualizer for Deep3DFaceRecon_pytorch +""" + +import numpy as np +import os +import sys +import ntpath +import time +from . import util, html +from subprocess import Popen, PIPE +from torch.utils.tensorboard import SummaryWriter + +def save_images(webpage, visuals, image_path, aspect_ratio=1.0, width=256): + """Save images to the disk. + + Parameters: + webpage (the HTML class) -- the HTML webpage class that stores these imaegs (see html.py for more details) + visuals (OrderedDict) -- an ordered dictionary that stores (name, images (either tensor or numpy) ) pairs + image_path (str) -- the string is used to create image paths + aspect_ratio (float) -- the aspect ratio of saved images + width (int) -- the images will be resized to width x width + + This function will save images stored in 'visuals' to the HTML file specified by 'webpage'. + """ + image_dir = webpage.get_image_dir() + short_path = ntpath.basename(image_path[0]) + name = os.path.splitext(short_path)[0] + + webpage.add_header(name) + ims, txts, links = [], [], [] + + for label, im_data in visuals.items(): + im = util.tensor2im(im_data) + image_name = '%s/%s.png' % (label, name) + os.makedirs(os.path.join(image_dir, label), exist_ok=True) + save_path = os.path.join(image_dir, image_name) + util.save_image(im, save_path, aspect_ratio=aspect_ratio) + ims.append(image_name) + txts.append(label) + links.append(image_name) + webpage.add_images(ims, txts, links, width=width) + + +class Visualizer(): + """This class includes several functions that can display/save images and print/save logging information. + + It uses a Python library tensprboardX for display, and a Python library 'dominate' (wrapped in 'HTML') for creating HTML files with images. + """ + + def __init__(self, opt): + """Initialize the Visualizer class + + Parameters: + opt -- stores all the experiment flags; needs to be a subclass of BaseOptions + Step 1: Cache the training/test options + Step 2: create a tensorboard writer + Step 3: create an HTML object for saveing HTML filters + Step 4: create a logging file to store training losses + """ + self.opt = opt # cache the option + self.use_html = opt.isTrain and not opt.no_html + self.writer = SummaryWriter(os.path.join(opt.checkpoints_dir, 'logs', opt.name)) + self.win_size = opt.display_winsize + self.name = opt.name + self.saved = False + if self.use_html: # create an HTML object at /web/; images will be saved under /web/images/ + self.web_dir = os.path.join(opt.checkpoints_dir, opt.name, 'web') + self.img_dir = os.path.join(self.web_dir, 'images') + print('create web directory %s...' % self.web_dir) + util.mkdirs([self.web_dir, self.img_dir]) + # create a logging file to store training losses + self.log_name = os.path.join(opt.checkpoints_dir, opt.name, 'loss_log.txt') + with open(self.log_name, "a") as log_file: + now = time.strftime("%c") + log_file.write('================ Training Loss (%s) ================\n' % now) + + def reset(self): + """Reset the self.saved status""" + self.saved = False + + + def display_current_results(self, visuals, total_iters, epoch, save_result): + """Display current results on tensorboad; save current results to an HTML file. + + Parameters: + visuals (OrderedDict) - - dictionary of images to display or save + total_iters (int) -- total iterations + epoch (int) - - the current epoch + save_result (bool) - - if save the current results to an HTML file + """ + for label, image in visuals.items(): + self.writer.add_image(label, util.tensor2im(image), total_iters, dataformats='HWC') + + if self.use_html and (save_result or not self.saved): # save images to an HTML file if they haven't been saved. + self.saved = True + # save images to the disk + for label, image in visuals.items(): + image_numpy = util.tensor2im(image) + img_path = os.path.join(self.img_dir, 'epoch%.3d_%s.png' % (epoch, label)) + util.save_image(image_numpy, img_path) + + # update website + webpage = html.HTML(self.web_dir, 'Experiment name = %s' % self.name, refresh=0) + for n in range(epoch, 0, -1): + webpage.add_header('epoch [%d]' % n) + ims, txts, links = [], [], [] + + for label, image_numpy in visuals.items(): + image_numpy = util.tensor2im(image) + img_path = 'epoch%.3d_%s.png' % (n, label) + ims.append(img_path) + txts.append(label) + links.append(img_path) + webpage.add_images(ims, txts, links, width=self.win_size) + webpage.save() + + def plot_current_losses(self, total_iters, losses): + # G_loss_collection = {} + # D_loss_collection = {} + # for name, value in losses.items(): + # if 'G' in name or 'NCE' in name or 'idt' in name: + # G_loss_collection[name] = value + # else: + # D_loss_collection[name] = value + # self.writer.add_scalars('G_collec', G_loss_collection, total_iters) + # self.writer.add_scalars('D_collec', D_loss_collection, total_iters) + for name, value in losses.items(): + self.writer.add_scalar(name, value, total_iters) + + # losses: same format as |losses| of plot_current_losses + def print_current_losses(self, epoch, iters, losses, t_comp, t_data): + """print current losses on console; also save the losses to the disk + + Parameters: + epoch (int) -- current epoch + iters (int) -- current training iteration during this epoch (reset to 0 at the end of every epoch) + losses (OrderedDict) -- training losses stored in the format of (name, float) pairs + t_comp (float) -- computational time per data point (normalized by batch_size) + t_data (float) -- data loading time per data point (normalized by batch_size) + """ + message = '(epoch: %d, iters: %d, time: %.3f, data: %.3f) ' % (epoch, iters, t_comp, t_data) + for k, v in losses.items(): + message += '%s: %.3f ' % (k, v) + + print(message) # print the message + with open(self.log_name, "a") as log_file: + log_file.write('%s\n' % message) # save the message + + +class MyVisualizer: + def __init__(self, opt): + """Initialize the Visualizer class + + Parameters: + opt -- stores all the experiment flags; needs to be a subclass of BaseOptions + Step 1: Cache the training/test options + Step 2: create a tensorboard writer + Step 3: create an HTML object for saveing HTML filters + Step 4: create a logging file to store training losses + """ + self.opt = opt # cache the optio + self.name = opt.name + self.img_dir = os.path.join(opt.checkpoints_dir, opt.name, 'results') + + if opt.phase != 'test': + self.writer = SummaryWriter(os.path.join(opt.checkpoints_dir, opt.name, 'logs')) + # create a logging file to store training losses + self.log_name = os.path.join(opt.checkpoints_dir, opt.name, 'loss_log.txt') + with open(self.log_name, "a") as log_file: + now = time.strftime("%c") + log_file.write('================ Training Loss (%s) ================\n' % now) + + + def display_current_results(self, visuals, total_iters, epoch, dataset='train', save_results=False, count=0, name=None, + add_image=True): + """Display current results on tensorboad; save current results to an HTML file. + + Parameters: + visuals (OrderedDict) - - dictionary of images to display or save + total_iters (int) -- total iterations + epoch (int) - - the current epoch + dataset (str) - - 'train' or 'val' or 'test' + """ + # if (not add_image) and (not save_results): return + + for label, image in visuals.items(): + for i in range(image.shape[0]): + image_numpy = util.tensor2im(image[i]) + if add_image: + self.writer.add_image(label + '%s_%02d'%(dataset, i + count), + image_numpy, total_iters, dataformats='HWC') + + if save_results: + save_path = os.path.join(self.img_dir, dataset, 'epoch_%s_%06d'%(epoch, total_iters)) + if not os.path.isdir(save_path): + os.makedirs(save_path) + + if name is not None: + img_path = os.path.join(save_path, '%s.png' % name) + else: + img_path = os.path.join(save_path, '%s_%03d.png' % (label, i + count)) + util.save_image(image_numpy, img_path) + + + def plot_current_losses(self, total_iters, losses, dataset='train'): + for name, value in losses.items(): + self.writer.add_scalar(name + '/%s'%dataset, value, total_iters) + + # losses: same format as |losses| of plot_current_losses + def print_current_losses(self, epoch, iters, losses, t_comp, t_data, dataset='train'): + """print current losses on console; also save the losses to the disk + + Parameters: + epoch (int) -- current epoch + iters (int) -- current training iteration during this epoch (reset to 0 at the end of every epoch) + losses (OrderedDict) -- training losses stored in the format of (name, float) pairs + t_comp (float) -- computational time per data point (normalized by batch_size) + t_data (float) -- data loading time per data point (normalized by batch_size) + """ + message = '(dataset: %s, epoch: %d, iters: %d, time: %.3f, data: %.3f) ' % ( + dataset, epoch, iters, t_comp, t_data) + for k, v in losses.items(): + message += '%s: %.3f ' % (k, v) + + print(message) # print the message + with open(self.log_name, "a") as log_file: + log_file.write('%s\n' % message) # save the message diff --git a/src/face3d/visualize.py b/src/face3d/visualize.py new file mode 100644 index 0000000000000000000000000000000000000000..23a1110806a0ddf37d4aa549c023d1c3f7114e3e --- /dev/null +++ b/src/face3d/visualize.py @@ -0,0 +1,48 @@ +# check the sync of 3dmm feature and the audio +import cv2 +import numpy as np +from src.face3d.models.bfm import ParametricFaceModel +from src.face3d.models.facerecon_model import FaceReconModel +import torch +import subprocess, platform +import scipy.io as scio +from tqdm import tqdm + +# draft +def gen_composed_video(args, device, first_frame_coeff, coeff_path, audio_path, save_path, exp_dim=64): + + coeff_first = scio.loadmat(first_frame_coeff)['full_3dmm'] + + coeff_pred = scio.loadmat(coeff_path)['coeff_3dmm'] + + coeff_full = np.repeat(coeff_first, coeff_pred.shape[0], axis=0) # 257 + + coeff_full[:, 80:144] = coeff_pred[:, 0:64] + coeff_full[:, 224:227] = coeff_pred[:, 64:67] # 3 dim translation + coeff_full[:, 254:] = coeff_pred[:, 67:] # 3 dim translation + + tmp_video_path = '/tmp/face3dtmp.mp4' + + facemodel = FaceReconModel(args) + + video = cv2.VideoWriter(tmp_video_path, cv2.VideoWriter_fourcc(*'mp4v'), 25, (224, 224)) + + for k in tqdm(range(coeff_pred.shape[0]), 'face3d rendering:'): + cur_coeff_full = torch.tensor(coeff_full[k:k+1], device=device) + + facemodel.forward(cur_coeff_full, device) + + predicted_landmark = facemodel.pred_lm # TODO. + predicted_landmark = predicted_landmark.cpu().numpy().squeeze() + + rendered_img = facemodel.pred_face + rendered_img = 255. * rendered_img.cpu().numpy().squeeze().transpose(1,2,0) + out_img = rendered_img[:, :, :3].astype(np.uint8) + + video.write(np.uint8(out_img[:,:,::-1])) + + video.release() + + command = 'ffmpeg -v quiet -y -i {} -i {} -strict -2 -q:v 1 {}'.format(audio_path, tmp_video_path, save_path) + subprocess.call(command, shell=platform.system() != 'Windows') + diff --git a/src/facerender/animate.py b/src/facerender/animate.py new file mode 100644 index 0000000000000000000000000000000000000000..2b7d4993666881c0ee71dae9ba6be855158641db --- /dev/null +++ b/src/facerender/animate.py @@ -0,0 +1,264 @@ +import os +import cv2 +import yaml +import numpy as np +import warnings +from skimage import img_as_ubyte +import safetensors +import safetensors.torch +warnings.filterwarnings('ignore') + + +import torch + + +from src.facerender.modules.keypoint_detector import HEEstimator, KPDetector +from src.facerender.modules.mapping import MappingNet +from src.facerender.modules.generator import OcclusionAwareSPADEGenerator +from src.facerender.modules.make_animation import make_animation + +# from pydub import AudioSegment +from src.utils.face_enhancer import enhancer_generator_with_len, enhancer_list +from src.utils.paste_pic import paste_pic +from src.utils.videoio import save_video_with_watermark +import imageio +try: + import webui # in webui + in_webui = True +except: + in_webui = False + +def opencv_save_video(path, videos, fps = 25, img_size = 256): + fourcc = cv2.VideoWriter_fourcc(*'mp4v') + video_writer = cv2.VideoWriter(path, fourcc, float(fps), (img_size, img_size)) + + # Write each frame to the video file + for frame in videos: + video_writer.write(frame) + # cv2.imshow("Stream", frame) + # if cv2.waitKey(1) & 0xFF == ord('q'): + # break + + # Release the video writer and close the file + video_writer.release() + +class AnimateFromCoeff(): + + def __init__(self, sadtalker_path, device): + + with open(sadtalker_path['facerender_yaml']) as f: + config = yaml.safe_load(f) + + generator = OcclusionAwareSPADEGenerator(**config['model_params']['generator_params'], + **config['model_params']['common_params']) + kp_extractor = KPDetector(**config['model_params']['kp_detector_params'], + **config['model_params']['common_params']) + he_estimator = HEEstimator(**config['model_params']['he_estimator_params'], + **config['model_params']['common_params']) + mapping = MappingNet(**config['model_params']['mapping_params']) + + generator.to(device) + kp_extractor.to(device) + he_estimator.to(device) + mapping.to(device) + for param in generator.parameters(): + param.requires_grad = False + for param in kp_extractor.parameters(): + param.requires_grad = False + for param in he_estimator.parameters(): + param.requires_grad = False + for param in mapping.parameters(): + param.requires_grad = False + + if sadtalker_path is not None: + if 'checkpoint' in sadtalker_path: # use safe tensor + self.load_cpk_facevid2vid_safetensor(sadtalker_path['checkpoint'], kp_detector=kp_extractor, generator=generator, he_estimator=None) + else: + self.load_cpk_facevid2vid(sadtalker_path['free_view_checkpoint'], kp_detector=kp_extractor, generator=generator, he_estimator=he_estimator) + else: + raise AttributeError("Checkpoint should be specified for video head pose estimator.") + + if sadtalker_path['mappingnet_checkpoint'] is not None: + self.load_cpk_mapping(sadtalker_path['mappingnet_checkpoint'], mapping=mapping) + else: + raise AttributeError("Checkpoint should be specified for video head pose estimator.") + + self.kp_extractor = kp_extractor + self.generator = generator + self.he_estimator = he_estimator + self.mapping = mapping + + self.kp_extractor.eval() + self.generator.eval() + self.he_estimator.eval() + self.mapping.eval() + + self.device = device + + def load_cpk_facevid2vid_safetensor(self, checkpoint_path, generator=None, + kp_detector=None, he_estimator=None, + device="cpu"): + + checkpoint = safetensors.torch.load_file(checkpoint_path) + + if generator is not None: + x_generator = {} + for k,v in checkpoint.items(): + if 'generator' in k: + x_generator[k.replace('generator.', '')] = v + generator.load_state_dict(x_generator) + if kp_detector is not None: + x_generator = {} + for k,v in checkpoint.items(): + if 'kp_extractor' in k: + x_generator[k.replace('kp_extractor.', '')] = v + kp_detector.load_state_dict(x_generator) + if he_estimator is not None: + x_generator = {} + for k,v in checkpoint.items(): + if 'he_estimator' in k: + x_generator[k.replace('he_estimator.', '')] = v + he_estimator.load_state_dict(x_generator) + + return None + + def load_cpk_facevid2vid(self, checkpoint_path, generator=None, discriminator=None, + kp_detector=None, he_estimator=None, optimizer_generator=None, + optimizer_discriminator=None, optimizer_kp_detector=None, + optimizer_he_estimator=None, device="cpu"): + checkpoint = torch.load(checkpoint_path, map_location=torch.device(device)) + if generator is not None: + generator.load_state_dict(checkpoint['generator']) + if kp_detector is not None: + kp_detector.load_state_dict(checkpoint['kp_detector']) + if he_estimator is not None: + he_estimator.load_state_dict(checkpoint['he_estimator']) + if discriminator is not None: + try: + discriminator.load_state_dict(checkpoint['discriminator']) + except: + print ('No discriminator in the state-dict. Dicriminator will be randomly initialized') + if optimizer_generator is not None: + optimizer_generator.load_state_dict(checkpoint['optimizer_generator']) + if optimizer_discriminator is not None: + try: + optimizer_discriminator.load_state_dict(checkpoint['optimizer_discriminator']) + except RuntimeError as e: + print ('No discriminator optimizer in the state-dict. Optimizer will be not initialized') + if optimizer_kp_detector is not None: + optimizer_kp_detector.load_state_dict(checkpoint['optimizer_kp_detector']) + if optimizer_he_estimator is not None: + optimizer_he_estimator.load_state_dict(checkpoint['optimizer_he_estimator']) + + return checkpoint['epoch'] + + def load_cpk_mapping(self, checkpoint_path, mapping=None, discriminator=None, + optimizer_mapping=None, optimizer_discriminator=None, device='cpu'): + checkpoint = torch.load(checkpoint_path, map_location=torch.device(device)) + if mapping is not None: + mapping.load_state_dict(checkpoint['mapping']) + if discriminator is not None: + discriminator.load_state_dict(checkpoint['discriminator']) + if optimizer_mapping is not None: + optimizer_mapping.load_state_dict(checkpoint['optimizer_mapping']) + if optimizer_discriminator is not None: + optimizer_discriminator.load_state_dict(checkpoint['optimizer_discriminator']) + + return checkpoint['epoch'] + + def generate(self, x, video_save_dir, pic_path, crop_info, enhancer=None, background_enhancer=None, preprocess='crop', img_size=256, fps = 25): + + source_image=x['source_image'].type(torch.FloatTensor) + source_semantics=x['source_semantics'].type(torch.FloatTensor) + target_semantics=x['target_semantics_list'].type(torch.FloatTensor) + source_image=source_image.to(self.device) + source_semantics=source_semantics.to(self.device) + target_semantics=target_semantics.to(self.device) + frame_num = x['frame_num'] + + predictions_video = make_animation(source_image, source_semantics, target_semantics, + self.generator, self.kp_extractor, self.he_estimator, self.mapping, + None, None, None, use_exp = True) + + predictions_video = predictions_video.reshape((-1,)+predictions_video.shape[2:]) + predictions_video = predictions_video[:frame_num] + + video = [] + for idx in range(predictions_video.shape[0]): + image = predictions_video[idx] + image = np.transpose(image.data.cpu().numpy(), [1, 2, 0]).astype(np.float32) + video.append(image) + result = img_as_ubyte(video) + + ### the generated video is 256x256, so we keep the aspect ratio, + original_size = crop_info[0] + if original_size: + # sadtalker origin + result = [ cv2.resize(result_i,(img_size, int(img_size * original_size[1]/original_size[0]) )) for result_i in result ] + # result = [ cv2.cvtColor(cv2.resize(result_i, (img_size, int(img_size * original_size[1]/original_size[0]) )), cv2.COLOR_BGR2RGB) for result_i in result ] + # result = [ cv2.cvtColor(result_i, cv2.COLOR_BGR2RGB) for result_i in result ] + + video_name = x['video_name'] + '.mp4' + path = os.path.join(video_save_dir, 'temp_'+video_name) + print("fps: ", fps, len(result)) + # imageio.mimsave(path, result, fps=float(fps)) + + # OpenCV save + # save_video(path, result, fps, img_size) + print(path) + # mimsave + imageio.mimsave(path, result, fps=float(fps)) + + av_path = os.path.join(video_save_dir, video_name) + return_path = av_path + + audio_path = x['audio_path'] + # audio_name = os.path.splitext(os.path.split(audio_path)[-1])[0] + # new_audio_path = os.path.join(video_save_dir, 'new_answer.wav') + # start_time = 0 + # # cog will not keep the .mp3 filename + # sound = AudioSegment.from_file(audio_path) + # frames = frame_num + # end_time = start_time + frames*1/fps*1000 + # word1=sound.set_frame_rate(16000) + # word = word1[start_time:end_time] + # word.export(new_audio_path, format="wav") + + save_video_with_watermark(path, audio_path, av_path, watermark= False) + + if 'full' in preprocess.lower(): + # only add watermark to the full image. + video_name_full = x['video_name'] + '_full.mp4' + full_video_path = os.path.join(video_save_dir, video_name_full) + return_path = full_video_path + paste_pic(path, pic_path, crop_info, audio_path, full_video_path, extended_crop= True if 'ext' in preprocess.lower() else False) + print(f'The generated video is named {video_save_dir}/{video_name_full}') + else: + full_video_path = av_path + + ### paste back then enhancers + if enhancer: + video_name_enhancer = x['video_name'] + '_enhanced.mp4' + enhanced_path = os.path.join(video_save_dir, 'temp_'+video_name_enhancer) + av_path_enhancer = os.path.join(video_save_dir, video_name_enhancer) + return_path = av_path_enhancer + + try: + enhanced_images_gen_with_len = enhancer_generator_with_len(full_video_path, method=enhancer, bg_upsampler=background_enhancer) + imageio.mimsave(enhanced_path, enhanced_images_gen_with_len, fps=float(fps)) + # print(enhanced_images_gen_with_len.shape) + # save_video(enhanced_path, enhanced_images_gen_with_len, fps, img_size) + except: + enhanced_images_gen_with_len = enhancer_list(full_video_path, method=enhancer, bg_upsampler=background_enhancer) + # print(enhanced_images_gen_with_len.shape) + # save_video(enhanced_path, enhanced_images_gen_with_len, fps, img_size) + imageio.mimsave(enhanced_path, enhanced_images_gen_with_len, fps=float(fps)) + + save_video_with_watermark(enhanced_path, audio_path, av_path_enhancer, watermark= False) + # print(f'The generated video is named {video_save_dir}/{video_name_enhancer}') + os.remove(enhanced_path) + + os.remove(path) + + return return_path + diff --git a/src/facerender/modules/dense_motion.py b/src/facerender/modules/dense_motion.py new file mode 100644 index 0000000000000000000000000000000000000000..a286ead2e84ed1961335d34a3b50ab38f25e4495 --- /dev/null +++ b/src/facerender/modules/dense_motion.py @@ -0,0 +1,121 @@ +from torch import nn +import torch.nn.functional as F +import torch +from src.facerender.modules.util import Hourglass, make_coordinate_grid, kp2gaussian + +from src.facerender.sync_batchnorm import SynchronizedBatchNorm3d as BatchNorm3d + + +class DenseMotionNetwork(nn.Module): + """ + Module that predicting a dense motion from sparse motion representation given by kp_source and kp_driving + """ + + def __init__(self, block_expansion, num_blocks, max_features, num_kp, feature_channel, reshape_depth, compress, + estimate_occlusion_map=False): + super(DenseMotionNetwork, self).__init__() + # self.hourglass = Hourglass(block_expansion=block_expansion, in_features=(num_kp+1)*(feature_channel+1), max_features=max_features, num_blocks=num_blocks) + self.hourglass = Hourglass(block_expansion=block_expansion, in_features=(num_kp+1)*(compress+1), max_features=max_features, num_blocks=num_blocks) + + self.mask = nn.Conv3d(self.hourglass.out_filters, num_kp + 1, kernel_size=7, padding=3) + + self.compress = nn.Conv3d(feature_channel, compress, kernel_size=1) + self.norm = BatchNorm3d(compress, affine=True) + + if estimate_occlusion_map: + # self.occlusion = nn.Conv2d(reshape_channel*reshape_depth, 1, kernel_size=7, padding=3) + self.occlusion = nn.Conv2d(self.hourglass.out_filters*reshape_depth, 1, kernel_size=7, padding=3) + else: + self.occlusion = None + + self.num_kp = num_kp + + + def create_sparse_motions(self, feature, kp_driving, kp_source): + bs, _, d, h, w = feature.shape + identity_grid = make_coordinate_grid((d, h, w), type=kp_source['value'].type()) + identity_grid = identity_grid.view(1, 1, d, h, w, 3) + coordinate_grid = identity_grid - kp_driving['value'].view(bs, self.num_kp, 1, 1, 1, 3) + + # if 'jacobian' in kp_driving: + if 'jacobian' in kp_driving and kp_driving['jacobian'] is not None: + jacobian = torch.matmul(kp_source['jacobian'], torch.inverse(kp_driving['jacobian'])) + jacobian = jacobian.unsqueeze(-3).unsqueeze(-3).unsqueeze(-3) + jacobian = jacobian.repeat(1, 1, d, h, w, 1, 1) + coordinate_grid = torch.matmul(jacobian, coordinate_grid.unsqueeze(-1)) + coordinate_grid = coordinate_grid.squeeze(-1) + + + driving_to_source = coordinate_grid + kp_source['value'].view(bs, self.num_kp, 1, 1, 1, 3) # (bs, num_kp, d, h, w, 3) + + #adding background feature + identity_grid = identity_grid.repeat(bs, 1, 1, 1, 1, 1) + sparse_motions = torch.cat([identity_grid, driving_to_source], dim=1) #bs num_kp+1 d h w 3 + + # sparse_motions = driving_to_source + + return sparse_motions + + def create_deformed_feature(self, feature, sparse_motions): + bs, _, d, h, w = feature.shape + feature_repeat = feature.unsqueeze(1).unsqueeze(1).repeat(1, self.num_kp+1, 1, 1, 1, 1, 1) # (bs, num_kp+1, 1, c, d, h, w) + feature_repeat = feature_repeat.view(bs * (self.num_kp+1), -1, d, h, w) # (bs*(num_kp+1), c, d, h, w) + sparse_motions = sparse_motions.view((bs * (self.num_kp+1), d, h, w, -1)) # (bs*(num_kp+1), d, h, w, 3) !!!! + sparse_deformed = F.grid_sample(feature_repeat, sparse_motions) + sparse_deformed = sparse_deformed.view((bs, self.num_kp+1, -1, d, h, w)) # (bs, num_kp+1, c, d, h, w) + return sparse_deformed + + def create_heatmap_representations(self, feature, kp_driving, kp_source): + spatial_size = feature.shape[3:] + gaussian_driving = kp2gaussian(kp_driving, spatial_size=spatial_size, kp_variance=0.01) + gaussian_source = kp2gaussian(kp_source, spatial_size=spatial_size, kp_variance=0.01) + heatmap = gaussian_driving - gaussian_source + + # adding background feature + zeros = torch.zeros(heatmap.shape[0], 1, spatial_size[0], spatial_size[1], spatial_size[2]).type(heatmap.type()) + heatmap = torch.cat([zeros, heatmap], dim=1) + heatmap = heatmap.unsqueeze(2) # (bs, num_kp+1, 1, d, h, w) + return heatmap + + def forward(self, feature, kp_driving, kp_source): + bs, _, d, h, w = feature.shape + + feature = self.compress(feature) + feature = self.norm(feature) + feature = F.relu(feature) + + out_dict = dict() + sparse_motion = self.create_sparse_motions(feature, kp_driving, kp_source) + deformed_feature = self.create_deformed_feature(feature, sparse_motion) + + heatmap = self.create_heatmap_representations(deformed_feature, kp_driving, kp_source) + + input_ = torch.cat([heatmap, deformed_feature], dim=2) + input_ = input_.view(bs, -1, d, h, w) + + # input = deformed_feature.view(bs, -1, d, h, w) # (bs, num_kp+1 * c, d, h, w) + + prediction = self.hourglass(input_) + + + mask = self.mask(prediction) + mask = F.softmax(mask, dim=1) + out_dict['mask'] = mask + mask = mask.unsqueeze(2) # (bs, num_kp+1, 1, d, h, w) + + zeros_mask = torch.zeros_like(mask) + mask = torch.where(mask < 1e-3, zeros_mask, mask) + + sparse_motion = sparse_motion.permute(0, 1, 5, 2, 3, 4) # (bs, num_kp+1, 3, d, h, w) + deformation = (sparse_motion * mask).sum(dim=1) # (bs, 3, d, h, w) + deformation = deformation.permute(0, 2, 3, 4, 1) # (bs, d, h, w, 3) + + out_dict['deformation'] = deformation + + if self.occlusion: + bs, c, d, h, w = prediction.shape + prediction = prediction.view(bs, -1, h, w) + occlusion_map = torch.sigmoid(self.occlusion(prediction)) + out_dict['occlusion_map'] = occlusion_map + + return out_dict diff --git a/src/facerender/modules/discriminator.py b/src/facerender/modules/discriminator.py new file mode 100644 index 0000000000000000000000000000000000000000..d4459b07cb075c9f9d345f9b3dffc02cd859313b --- /dev/null +++ b/src/facerender/modules/discriminator.py @@ -0,0 +1,90 @@ +from torch import nn +import torch.nn.functional as F +from facerender.modules.util import kp2gaussian +import torch + + +class DownBlock2d(nn.Module): + """ + Simple block for processing video (encoder). + """ + + def __init__(self, in_features, out_features, norm=False, kernel_size=4, pool=False, sn=False): + super(DownBlock2d, self).__init__() + self.conv = nn.Conv2d(in_channels=in_features, out_channels=out_features, kernel_size=kernel_size) + + if sn: + self.conv = nn.utils.spectral_norm(self.conv) + + if norm: + self.norm = nn.InstanceNorm2d(out_features, affine=True) + else: + self.norm = None + self.pool = pool + + def forward(self, x): + out = x + out = self.conv(out) + if self.norm: + out = self.norm(out) + out = F.leaky_relu(out, 0.2) + if self.pool: + out = F.avg_pool2d(out, (2, 2)) + return out + + +class Discriminator(nn.Module): + """ + Discriminator similar to Pix2Pix + """ + + def __init__(self, num_channels=3, block_expansion=64, num_blocks=4, max_features=512, + sn=False, **kwargs): + super(Discriminator, self).__init__() + + down_blocks = [] + for i in range(num_blocks): + down_blocks.append( + DownBlock2d(num_channels if i == 0 else min(max_features, block_expansion * (2 ** i)), + min(max_features, block_expansion * (2 ** (i + 1))), + norm=(i != 0), kernel_size=4, pool=(i != num_blocks - 1), sn=sn)) + + self.down_blocks = nn.ModuleList(down_blocks) + self.conv = nn.Conv2d(self.down_blocks[-1].conv.out_channels, out_channels=1, kernel_size=1) + if sn: + self.conv = nn.utils.spectral_norm(self.conv) + + def forward(self, x): + feature_maps = [] + out = x + + for down_block in self.down_blocks: + feature_maps.append(down_block(out)) + out = feature_maps[-1] + prediction_map = self.conv(out) + + return feature_maps, prediction_map + + +class MultiScaleDiscriminator(nn.Module): + """ + Multi-scale (scale) discriminator + """ + + def __init__(self, scales=(), **kwargs): + super(MultiScaleDiscriminator, self).__init__() + self.scales = scales + discs = {} + for scale in scales: + discs[str(scale).replace('.', '-')] = Discriminator(**kwargs) + self.discs = nn.ModuleDict(discs) + + def forward(self, x): + out_dict = {} + for scale, disc in self.discs.items(): + scale = str(scale).replace('-', '.') + key = 'prediction_' + scale + feature_maps, prediction_map = disc(x[key]) + out_dict['feature_maps_' + scale] = feature_maps + out_dict['prediction_map_' + scale] = prediction_map + return out_dict diff --git a/src/facerender/modules/generator.py b/src/facerender/modules/generator.py new file mode 100644 index 0000000000000000000000000000000000000000..5a9edcb3b328d3afc99072b2461d7ca69919f813 --- /dev/null +++ b/src/facerender/modules/generator.py @@ -0,0 +1,255 @@ +import torch +from torch import nn +import torch.nn.functional as F +from src.facerender.modules.util import ResBlock2d, SameBlock2d, UpBlock2d, DownBlock2d, ResBlock3d, SPADEResnetBlock +from src.facerender.modules.dense_motion import DenseMotionNetwork + + +class OcclusionAwareGenerator(nn.Module): + """ + Generator follows NVIDIA architecture. + """ + + def __init__(self, image_channel, feature_channel, num_kp, block_expansion, max_features, num_down_blocks, reshape_channel, reshape_depth, + num_resblocks, estimate_occlusion_map=False, dense_motion_params=None, estimate_jacobian=False): + super(OcclusionAwareGenerator, self).__init__() + + if dense_motion_params is not None: + self.dense_motion_network = DenseMotionNetwork(num_kp=num_kp, feature_channel=feature_channel, + estimate_occlusion_map=estimate_occlusion_map, + **dense_motion_params) + else: + self.dense_motion_network = None + + self.first = SameBlock2d(image_channel, block_expansion, kernel_size=(7, 7), padding=(3, 3)) + + down_blocks = [] + for i in range(num_down_blocks): + in_features = min(max_features, block_expansion * (2 ** i)) + out_features = min(max_features, block_expansion * (2 ** (i + 1))) + down_blocks.append(DownBlock2d(in_features, out_features, kernel_size=(3, 3), padding=(1, 1))) + self.down_blocks = nn.ModuleList(down_blocks) + + self.second = nn.Conv2d(in_channels=out_features, out_channels=max_features, kernel_size=1, stride=1) + + self.reshape_channel = reshape_channel + self.reshape_depth = reshape_depth + + self.resblocks_3d = torch.nn.Sequential() + for i in range(num_resblocks): + self.resblocks_3d.add_module('3dr' + str(i), ResBlock3d(reshape_channel, kernel_size=3, padding=1)) + + out_features = block_expansion * (2 ** (num_down_blocks)) + self.third = SameBlock2d(max_features, out_features, kernel_size=(3, 3), padding=(1, 1), lrelu=True) + self.fourth = nn.Conv2d(in_channels=out_features, out_channels=out_features, kernel_size=1, stride=1) + + self.resblocks_2d = torch.nn.Sequential() + for i in range(num_resblocks): + self.resblocks_2d.add_module('2dr' + str(i), ResBlock2d(out_features, kernel_size=3, padding=1)) + + up_blocks = [] + for i in range(num_down_blocks): + in_features = max(block_expansion, block_expansion * (2 ** (num_down_blocks - i))) + out_features = max(block_expansion, block_expansion * (2 ** (num_down_blocks - i - 1))) + up_blocks.append(UpBlock2d(in_features, out_features, kernel_size=(3, 3), padding=(1, 1))) + self.up_blocks = nn.ModuleList(up_blocks) + + self.final = nn.Conv2d(block_expansion, image_channel, kernel_size=(7, 7), padding=(3, 3)) + self.estimate_occlusion_map = estimate_occlusion_map + self.image_channel = image_channel + + def deform_input(self, inp, deformation): + _, d_old, h_old, w_old, _ = deformation.shape + _, _, d, h, w = inp.shape + if d_old != d or h_old != h or w_old != w: + deformation = deformation.permute(0, 4, 1, 2, 3) + deformation = F.interpolate(deformation, size=(d, h, w), mode='trilinear') + deformation = deformation.permute(0, 2, 3, 4, 1) + return F.grid_sample(inp, deformation) + + def forward(self, source_image, kp_driving, kp_source): + # Encoding (downsampling) part + out = self.first(source_image) + for i in range(len(self.down_blocks)): + out = self.down_blocks[i](out) + out = self.second(out) + bs, c, h, w = out.shape + # print(out.shape) + feature_3d = out.view(bs, self.reshape_channel, self.reshape_depth, h ,w) + feature_3d = self.resblocks_3d(feature_3d) + + # Transforming feature representation according to deformation and occlusion + output_dict = {} + if self.dense_motion_network is not None: + dense_motion = self.dense_motion_network(feature=feature_3d, kp_driving=kp_driving, + kp_source=kp_source) + output_dict['mask'] = dense_motion['mask'] + + if 'occlusion_map' in dense_motion: + occlusion_map = dense_motion['occlusion_map'] + output_dict['occlusion_map'] = occlusion_map + else: + occlusion_map = None + deformation = dense_motion['deformation'] + out = self.deform_input(feature_3d, deformation) + + bs, c, d, h, w = out.shape + out = out.view(bs, c*d, h, w) + out = self.third(out) + out = self.fourth(out) + + if occlusion_map is not None: + if out.shape[2] != occlusion_map.shape[2] or out.shape[3] != occlusion_map.shape[3]: + occlusion_map = F.interpolate(occlusion_map, size=out.shape[2:], mode='bilinear') + out = out * occlusion_map + + # output_dict["deformed"] = self.deform_input(source_image, deformation) # 3d deformation cannot deform 2d image + + # Decoding part + out = self.resblocks_2d(out) + for i in range(len(self.up_blocks)): + out = self.up_blocks[i](out) + out = self.final(out) + out = F.sigmoid(out) + + output_dict["prediction"] = out + + return output_dict + + +class SPADEDecoder(nn.Module): + def __init__(self): + super().__init__() + ic = 256 + oc = 64 + norm_G = 'spadespectralinstance' + label_nc = 256 + + self.fc = nn.Conv2d(ic, 2 * ic, 3, padding=1) + self.G_middle_0 = SPADEResnetBlock(2 * ic, 2 * ic, norm_G, label_nc) + self.G_middle_1 = SPADEResnetBlock(2 * ic, 2 * ic, norm_G, label_nc) + self.G_middle_2 = SPADEResnetBlock(2 * ic, 2 * ic, norm_G, label_nc) + self.G_middle_3 = SPADEResnetBlock(2 * ic, 2 * ic, norm_G, label_nc) + self.G_middle_4 = SPADEResnetBlock(2 * ic, 2 * ic, norm_G, label_nc) + self.G_middle_5 = SPADEResnetBlock(2 * ic, 2 * ic, norm_G, label_nc) + self.up_0 = SPADEResnetBlock(2 * ic, ic, norm_G, label_nc) + self.up_1 = SPADEResnetBlock(ic, oc, norm_G, label_nc) + self.conv_img = nn.Conv2d(oc, 3, 3, padding=1) + self.up = nn.Upsample(scale_factor=2) + + def forward(self, feature): + seg = feature + x = self.fc(feature) + x = self.G_middle_0(x, seg) + x = self.G_middle_1(x, seg) + x = self.G_middle_2(x, seg) + x = self.G_middle_3(x, seg) + x = self.G_middle_4(x, seg) + x = self.G_middle_5(x, seg) + x = self.up(x) + x = self.up_0(x, seg) # 256, 128, 128 + x = self.up(x) + x = self.up_1(x, seg) # 64, 256, 256 + + x = self.conv_img(F.leaky_relu(x, 2e-1)) + # x = torch.tanh(x) + x = F.sigmoid(x) + + return x + + +class OcclusionAwareSPADEGenerator(nn.Module): + + def __init__(self, image_channel, feature_channel, num_kp, block_expansion, max_features, num_down_blocks, reshape_channel, reshape_depth, + num_resblocks, estimate_occlusion_map=False, dense_motion_params=None, estimate_jacobian=False): + super(OcclusionAwareSPADEGenerator, self).__init__() + + if dense_motion_params is not None: + self.dense_motion_network = DenseMotionNetwork(num_kp=num_kp, feature_channel=feature_channel, + estimate_occlusion_map=estimate_occlusion_map, + **dense_motion_params) + else: + self.dense_motion_network = None + + self.first = SameBlock2d(image_channel, block_expansion, kernel_size=(3, 3), padding=(1, 1)) + + down_blocks = [] + for i in range(num_down_blocks): + in_features = min(max_features, block_expansion * (2 ** i)) + out_features = min(max_features, block_expansion * (2 ** (i + 1))) + down_blocks.append(DownBlock2d(in_features, out_features, kernel_size=(3, 3), padding=(1, 1))) + self.down_blocks = nn.ModuleList(down_blocks) + + self.second = nn.Conv2d(in_channels=out_features, out_channels=max_features, kernel_size=1, stride=1) + + self.reshape_channel = reshape_channel + self.reshape_depth = reshape_depth + + self.resblocks_3d = torch.nn.Sequential() + for i in range(num_resblocks): + self.resblocks_3d.add_module('3dr' + str(i), ResBlock3d(reshape_channel, kernel_size=3, padding=1)) + + out_features = block_expansion * (2 ** (num_down_blocks)) + self.third = SameBlock2d(max_features, out_features, kernel_size=(3, 3), padding=(1, 1), lrelu=True) + self.fourth = nn.Conv2d(in_channels=out_features, out_channels=out_features, kernel_size=1, stride=1) + + self.estimate_occlusion_map = estimate_occlusion_map + self.image_channel = image_channel + + self.decoder = SPADEDecoder() + + def deform_input(self, inp, deformation): + _, d_old, h_old, w_old, _ = deformation.shape + _, _, d, h, w = inp.shape + if d_old != d or h_old != h or w_old != w: + deformation = deformation.permute(0, 4, 1, 2, 3) + deformation = F.interpolate(deformation, size=(d, h, w), mode='trilinear') + deformation = deformation.permute(0, 2, 3, 4, 1) + return F.grid_sample(inp, deformation) + + def forward(self, source_image, kp_driving, kp_source): + # Encoding (downsampling) part + out = self.first(source_image) + for i in range(len(self.down_blocks)): + out = self.down_blocks[i](out) + out = self.second(out) + bs, c, h, w = out.shape + # print(out.shape) + feature_3d = out.view(bs, self.reshape_channel, self.reshape_depth, h ,w) + feature_3d = self.resblocks_3d(feature_3d) + + # Transforming feature representation according to deformation and occlusion + output_dict = {} + if self.dense_motion_network is not None: + dense_motion = self.dense_motion_network(feature=feature_3d, kp_driving=kp_driving, + kp_source=kp_source) + output_dict['mask'] = dense_motion['mask'] + + # import pdb; pdb.set_trace() + + if 'occlusion_map' in dense_motion: + occlusion_map = dense_motion['occlusion_map'] + output_dict['occlusion_map'] = occlusion_map + else: + occlusion_map = None + deformation = dense_motion['deformation'] + out = self.deform_input(feature_3d, deformation) + + bs, c, d, h, w = out.shape + out = out.view(bs, c*d, h, w) + out = self.third(out) + out = self.fourth(out) + + # occlusion_map = torch.where(occlusion_map < 0.95, 0, occlusion_map) + + if occlusion_map is not None: + if out.shape[2] != occlusion_map.shape[2] or out.shape[3] != occlusion_map.shape[3]: + occlusion_map = F.interpolate(occlusion_map, size=out.shape[2:], mode='bilinear') + out = out * occlusion_map + + # Decoding part + out = self.decoder(out) + + output_dict["prediction"] = out + + return output_dict \ No newline at end of file diff --git a/src/facerender/modules/keypoint_detector.py b/src/facerender/modules/keypoint_detector.py new file mode 100644 index 0000000000000000000000000000000000000000..62a38a962b2f1a4326aac771aced353ec5e22a96 --- /dev/null +++ b/src/facerender/modules/keypoint_detector.py @@ -0,0 +1,179 @@ +from torch import nn +import torch +import torch.nn.functional as F + +from src.facerender.sync_batchnorm import SynchronizedBatchNorm2d as BatchNorm2d +from src.facerender.modules.util import KPHourglass, make_coordinate_grid, AntiAliasInterpolation2d, ResBottleneck + + +class KPDetector(nn.Module): + """ + Detecting canonical keypoints. Return keypoint position and jacobian near each keypoint. + """ + + def __init__(self, block_expansion, feature_channel, num_kp, image_channel, max_features, reshape_channel, reshape_depth, + num_blocks, temperature, estimate_jacobian=False, scale_factor=1, single_jacobian_map=False): + super(KPDetector, self).__init__() + + self.predictor = KPHourglass(block_expansion, in_features=image_channel, + max_features=max_features, reshape_features=reshape_channel, reshape_depth=reshape_depth, num_blocks=num_blocks) + + # self.kp = nn.Conv3d(in_channels=self.predictor.out_filters, out_channels=num_kp, kernel_size=7, padding=3) + self.kp = nn.Conv3d(in_channels=self.predictor.out_filters, out_channels=num_kp, kernel_size=3, padding=1) + + if estimate_jacobian: + self.num_jacobian_maps = 1 if single_jacobian_map else num_kp + # self.jacobian = nn.Conv3d(in_channels=self.predictor.out_filters, out_channels=9 * self.num_jacobian_maps, kernel_size=7, padding=3) + self.jacobian = nn.Conv3d(in_channels=self.predictor.out_filters, out_channels=9 * self.num_jacobian_maps, kernel_size=3, padding=1) + ''' + initial as: + [[1 0 0] + [0 1 0] + [0 0 1]] + ''' + self.jacobian.weight.data.zero_() + self.jacobian.bias.data.copy_(torch.tensor([1, 0, 0, 0, 1, 0, 0, 0, 1] * self.num_jacobian_maps, dtype=torch.float)) + else: + self.jacobian = None + + self.temperature = temperature + self.scale_factor = scale_factor + if self.scale_factor != 1: + self.down = AntiAliasInterpolation2d(image_channel, self.scale_factor) + + def gaussian2kp(self, heatmap): + """ + Extract the mean from a heatmap + """ + shape = heatmap.shape + heatmap = heatmap.unsqueeze(-1) + grid = make_coordinate_grid(shape[2:], heatmap.type()).unsqueeze_(0).unsqueeze_(0) + value = (heatmap * grid).sum(dim=(2, 3, 4)) + kp = {'value': value} + + return kp + + def forward(self, x): + if self.scale_factor != 1: + x = self.down(x) + + feature_map = self.predictor(x) + prediction = self.kp(feature_map) + + final_shape = prediction.shape + heatmap = prediction.view(final_shape[0], final_shape[1], -1) + heatmap = F.softmax(heatmap / self.temperature, dim=2) + heatmap = heatmap.view(*final_shape) + + out = self.gaussian2kp(heatmap) + + if self.jacobian is not None: + jacobian_map = self.jacobian(feature_map) + jacobian_map = jacobian_map.reshape(final_shape[0], self.num_jacobian_maps, 9, final_shape[2], + final_shape[3], final_shape[4]) + heatmap = heatmap.unsqueeze(2) + + jacobian = heatmap * jacobian_map + jacobian = jacobian.view(final_shape[0], final_shape[1], 9, -1) + jacobian = jacobian.sum(dim=-1) + jacobian = jacobian.view(jacobian.shape[0], jacobian.shape[1], 3, 3) + out['jacobian'] = jacobian + + return out + + +class HEEstimator(nn.Module): + """ + Estimating head pose and expression. + """ + + def __init__(self, block_expansion, feature_channel, num_kp, image_channel, max_features, num_bins=66, estimate_jacobian=True): + super(HEEstimator, self).__init__() + + self.conv1 = nn.Conv2d(in_channels=image_channel, out_channels=block_expansion, kernel_size=7, padding=3, stride=2) + self.norm1 = BatchNorm2d(block_expansion, affine=True) + self.maxpool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1) + + self.conv2 = nn.Conv2d(in_channels=block_expansion, out_channels=256, kernel_size=1) + self.norm2 = BatchNorm2d(256, affine=True) + + self.block1 = nn.Sequential() + for i in range(3): + self.block1.add_module('b1_'+ str(i), ResBottleneck(in_features=256, stride=1)) + + self.conv3 = nn.Conv2d(in_channels=256, out_channels=512, kernel_size=1) + self.norm3 = BatchNorm2d(512, affine=True) + self.block2 = ResBottleneck(in_features=512, stride=2) + + self.block3 = nn.Sequential() + for i in range(3): + self.block3.add_module('b3_'+ str(i), ResBottleneck(in_features=512, stride=1)) + + self.conv4 = nn.Conv2d(in_channels=512, out_channels=1024, kernel_size=1) + self.norm4 = BatchNorm2d(1024, affine=True) + self.block4 = ResBottleneck(in_features=1024, stride=2) + + self.block5 = nn.Sequential() + for i in range(5): + self.block5.add_module('b5_'+ str(i), ResBottleneck(in_features=1024, stride=1)) + + self.conv5 = nn.Conv2d(in_channels=1024, out_channels=2048, kernel_size=1) + self.norm5 = BatchNorm2d(2048, affine=True) + self.block6 = ResBottleneck(in_features=2048, stride=2) + + self.block7 = nn.Sequential() + for i in range(2): + self.block7.add_module('b7_'+ str(i), ResBottleneck(in_features=2048, stride=1)) + + self.fc_roll = nn.Linear(2048, num_bins) + self.fc_pitch = nn.Linear(2048, num_bins) + self.fc_yaw = nn.Linear(2048, num_bins) + + self.fc_t = nn.Linear(2048, 3) + + self.fc_exp = nn.Linear(2048, 3*num_kp) + + def forward(self, x): + out = self.conv1(x) + out = self.norm1(out) + out = F.relu(out) + out = self.maxpool(out) + + out = self.conv2(out) + out = self.norm2(out) + out = F.relu(out) + + out = self.block1(out) + + out = self.conv3(out) + out = self.norm3(out) + out = F.relu(out) + out = self.block2(out) + + out = self.block3(out) + + out = self.conv4(out) + out = self.norm4(out) + out = F.relu(out) + out = self.block4(out) + + out = self.block5(out) + + out = self.conv5(out) + out = self.norm5(out) + out = F.relu(out) + out = self.block6(out) + + out = self.block7(out) + + out = F.adaptive_avg_pool2d(out, 1) + out = out.view(out.shape[0], -1) + + yaw = self.fc_roll(out) + pitch = self.fc_pitch(out) + roll = self.fc_yaw(out) + t = self.fc_t(out) + exp = self.fc_exp(out) + + return {'yaw': yaw, 'pitch': pitch, 'roll': roll, 't': t, 'exp': exp} + diff --git a/src/facerender/modules/make_animation.py b/src/facerender/modules/make_animation.py new file mode 100644 index 0000000000000000000000000000000000000000..3360c53501a064f35d7db21a5361f89aa9658b42 --- /dev/null +++ b/src/facerender/modules/make_animation.py @@ -0,0 +1,170 @@ +from scipy.spatial import ConvexHull +import torch +import torch.nn.functional as F +import numpy as np +from tqdm import tqdm + +def normalize_kp(kp_source, kp_driving, kp_driving_initial, adapt_movement_scale=False, + use_relative_movement=False, use_relative_jacobian=False): + if adapt_movement_scale: + source_area = ConvexHull(kp_source['value'][0].data.cpu().numpy()).volume + driving_area = ConvexHull(kp_driving_initial['value'][0].data.cpu().numpy()).volume + adapt_movement_scale = np.sqrt(source_area) / np.sqrt(driving_area) + else: + adapt_movement_scale = 1 + + kp_new = {k: v for k, v in kp_driving.items()} + + if use_relative_movement: + kp_value_diff = (kp_driving['value'] - kp_driving_initial['value']) + kp_value_diff *= adapt_movement_scale + kp_new['value'] = kp_value_diff + kp_source['value'] + + if use_relative_jacobian: + jacobian_diff = torch.matmul(kp_driving['jacobian'], torch.inverse(kp_driving_initial['jacobian'])) + kp_new['jacobian'] = torch.matmul(jacobian_diff, kp_source['jacobian']) + + return kp_new + +def headpose_pred_to_degree(pred): + device = pred.device + idx_tensor = [idx for idx in range(66)] + idx_tensor = torch.FloatTensor(idx_tensor).type_as(pred).to(device) + pred = F.softmax(pred) + degree = torch.sum(pred*idx_tensor, 1) * 3 - 99 + return degree + +def get_rotation_matrix(yaw, pitch, roll): + yaw = yaw / 180 * 3.14 + pitch = pitch / 180 * 3.14 + roll = roll / 180 * 3.14 + + roll = roll.unsqueeze(1) + pitch = pitch.unsqueeze(1) + yaw = yaw.unsqueeze(1) + + pitch_mat = torch.cat([torch.ones_like(pitch), torch.zeros_like(pitch), torch.zeros_like(pitch), + torch.zeros_like(pitch), torch.cos(pitch), -torch.sin(pitch), + torch.zeros_like(pitch), torch.sin(pitch), torch.cos(pitch)], dim=1) + pitch_mat = pitch_mat.view(pitch_mat.shape[0], 3, 3) + + yaw_mat = torch.cat([torch.cos(yaw), torch.zeros_like(yaw), torch.sin(yaw), + torch.zeros_like(yaw), torch.ones_like(yaw), torch.zeros_like(yaw), + -torch.sin(yaw), torch.zeros_like(yaw), torch.cos(yaw)], dim=1) + yaw_mat = yaw_mat.view(yaw_mat.shape[0], 3, 3) + + roll_mat = torch.cat([torch.cos(roll), -torch.sin(roll), torch.zeros_like(roll), + torch.sin(roll), torch.cos(roll), torch.zeros_like(roll), + torch.zeros_like(roll), torch.zeros_like(roll), torch.ones_like(roll)], dim=1) + roll_mat = roll_mat.view(roll_mat.shape[0], 3, 3) + + rot_mat = torch.einsum('bij,bjk,bkm->bim', pitch_mat, yaw_mat, roll_mat) + + return rot_mat + +def keypoint_transformation(kp_canonical, he, wo_exp=False): + kp = kp_canonical['value'] # (bs, k, 3) + yaw, pitch, roll= he['yaw'], he['pitch'], he['roll'] + yaw = headpose_pred_to_degree(yaw) + pitch = headpose_pred_to_degree(pitch) + roll = headpose_pred_to_degree(roll) + + if 'yaw_in' in he: + yaw = he['yaw_in'] + if 'pitch_in' in he: + pitch = he['pitch_in'] + if 'roll_in' in he: + roll = he['roll_in'] + + rot_mat = get_rotation_matrix(yaw, pitch, roll) # (bs, 3, 3) + + t, exp = he['t'], he['exp'] + if wo_exp: + exp = exp*0 + + # keypoint rotation + kp_rotated = torch.einsum('bmp,bkp->bkm', rot_mat, kp) + + # keypoint translation + t[:, 0] = t[:, 0]*0 + t[:, 2] = t[:, 2]*0 + t = t.unsqueeze(1).repeat(1, kp.shape[1], 1) + kp_t = kp_rotated + t + + # add expression deviation + exp = exp.view(exp.shape[0], -1, 3) + kp_transformed = kp_t + exp + + return {'value': kp_transformed} + + + +def make_animation(source_image, source_semantics, target_semantics, + generator, kp_detector, he_estimator, mapping, + yaw_c_seq=None, pitch_c_seq=None, roll_c_seq=None, + use_exp=True, use_half=False): + with torch.no_grad(): + predictions = [] + + kp_canonical = kp_detector(source_image) + he_source = mapping(source_semantics) + kp_source = keypoint_transformation(kp_canonical, he_source) + + for frame_idx in tqdm(range(target_semantics.shape[1]), 'Face Renderer:'): + # still check the dimension + # print(target_semantics.shape, source_semantics.shape) + target_semantics_frame = target_semantics[:, frame_idx] + he_driving = mapping(target_semantics_frame) + if yaw_c_seq is not None: + he_driving['yaw_in'] = yaw_c_seq[:, frame_idx] + if pitch_c_seq is not None: + he_driving['pitch_in'] = pitch_c_seq[:, frame_idx] + if roll_c_seq is not None: + he_driving['roll_in'] = roll_c_seq[:, frame_idx] + + kp_driving = keypoint_transformation(kp_canonical, he_driving) + + kp_norm = kp_driving + out = generator(source_image, kp_source=kp_source, kp_driving=kp_norm) + ''' + source_image_new = out['prediction'].squeeze(1) + kp_canonical_new = kp_detector(source_image_new) + he_source_new = he_estimator(source_image_new) + kp_source_new = keypoint_transformation(kp_canonical_new, he_source_new, wo_exp=True) + kp_driving_new = keypoint_transformation(kp_canonical_new, he_driving, wo_exp=True) + out = generator(source_image_new, kp_source=kp_source_new, kp_driving=kp_driving_new) + ''' + predictions.append(out['prediction']) + predictions_ts = torch.stack(predictions, dim=1) + return predictions_ts + +class AnimateModel(torch.nn.Module): + """ + Merge all generator related updates into single model for better multi-gpu usage + """ + + def __init__(self, generator, kp_extractor, mapping): + super(AnimateModel, self).__init__() + self.kp_extractor = kp_extractor + self.generator = generator + self.mapping = mapping + + self.kp_extractor.eval() + self.generator.eval() + self.mapping.eval() + + def forward(self, x): + + source_image = x['source_image'] + source_semantics = x['source_semantics'] + target_semantics = x['target_semantics'] + yaw_c_seq = x['yaw_c_seq'] + pitch_c_seq = x['pitch_c_seq'] + roll_c_seq = x['roll_c_seq'] + + predictions_video = make_animation(source_image, source_semantics, target_semantics, + self.generator, self.kp_extractor, + self.mapping, use_exp = True, + yaw_c_seq=yaw_c_seq, pitch_c_seq=pitch_c_seq, roll_c_seq=roll_c_seq) + + return predictions_video \ No newline at end of file diff --git a/src/facerender/modules/mapping.py b/src/facerender/modules/mapping.py new file mode 100644 index 0000000000000000000000000000000000000000..0e3a1c2d1770996080c08e9daafb346f05d7bcdd --- /dev/null +++ b/src/facerender/modules/mapping.py @@ -0,0 +1,47 @@ +import numpy as np + +import torch +import torch.nn as nn +import torch.nn.functional as F + + +class MappingNet(nn.Module): + def __init__(self, coeff_nc, descriptor_nc, layer, num_kp, num_bins): + super( MappingNet, self).__init__() + + self.layer = layer + nonlinearity = nn.LeakyReLU(0.1) + + self.first = nn.Sequential( + torch.nn.Conv1d(coeff_nc, descriptor_nc, kernel_size=7, padding=0, bias=True)) + + for i in range(layer): + net = nn.Sequential(nonlinearity, + torch.nn.Conv1d(descriptor_nc, descriptor_nc, kernel_size=3, padding=0, dilation=3)) + setattr(self, 'encoder' + str(i), net) + + self.pooling = nn.AdaptiveAvgPool1d(1) + self.output_nc = descriptor_nc + + self.fc_roll = nn.Linear(descriptor_nc, num_bins) + self.fc_pitch = nn.Linear(descriptor_nc, num_bins) + self.fc_yaw = nn.Linear(descriptor_nc, num_bins) + self.fc_t = nn.Linear(descriptor_nc, 3) + self.fc_exp = nn.Linear(descriptor_nc, 3*num_kp) + + def forward(self, input_3dmm): + out = self.first(input_3dmm) + for i in range(self.layer): + model = getattr(self, 'encoder' + str(i)) + out = model(out) + out[:,:,3:-3] + out = self.pooling(out) + out = out.view(out.shape[0], -1) + #print('out:', out.shape) + + yaw = self.fc_yaw(out) + pitch = self.fc_pitch(out) + roll = self.fc_roll(out) + t = self.fc_t(out) + exp = self.fc_exp(out) + + return {'yaw': yaw, 'pitch': pitch, 'roll': roll, 't': t, 'exp': exp} \ No newline at end of file diff --git a/src/facerender/modules/util.py b/src/facerender/modules/util.py new file mode 100644 index 0000000000000000000000000000000000000000..b916deefbb8b957ad6ab3cd7403c28513e5ae18e --- /dev/null +++ b/src/facerender/modules/util.py @@ -0,0 +1,564 @@ +from torch import nn + +import torch.nn.functional as F +import torch + +from src.facerender.sync_batchnorm import SynchronizedBatchNorm2d as BatchNorm2d +from src.facerender.sync_batchnorm import SynchronizedBatchNorm3d as BatchNorm3d + +import torch.nn.utils.spectral_norm as spectral_norm + + +def kp2gaussian(kp, spatial_size, kp_variance): + """ + Transform a keypoint into gaussian like representation + """ + mean = kp['value'] + + coordinate_grid = make_coordinate_grid(spatial_size, mean.type()) + number_of_leading_dimensions = len(mean.shape) - 1 + shape = (1,) * number_of_leading_dimensions + coordinate_grid.shape + coordinate_grid = coordinate_grid.view(*shape) + repeats = mean.shape[:number_of_leading_dimensions] + (1, 1, 1, 1) + coordinate_grid = coordinate_grid.repeat(*repeats) + + # Preprocess kp shape + shape = mean.shape[:number_of_leading_dimensions] + (1, 1, 1, 3) + mean = mean.view(*shape) + + mean_sub = (coordinate_grid - mean) + + out = torch.exp(-0.5 * (mean_sub ** 2).sum(-1) / kp_variance) + + return out + +def make_coordinate_grid_2d(spatial_size, type): + """ + Create a meshgrid [-1,1] x [-1,1] of given spatial_size. + """ + h, w = spatial_size + x = torch.arange(w).type(type) + y = torch.arange(h).type(type) + + x = (2 * (x / (w - 1)) - 1) + y = (2 * (y / (h - 1)) - 1) + + yy = y.view(-1, 1).repeat(1, w) + xx = x.view(1, -1).repeat(h, 1) + + meshed = torch.cat([xx.unsqueeze_(2), yy.unsqueeze_(2)], 2) + + return meshed + + +def make_coordinate_grid(spatial_size, type): + d, h, w = spatial_size + x = torch.arange(w).type(type) + y = torch.arange(h).type(type) + z = torch.arange(d).type(type) + + x = (2 * (x / (w - 1)) - 1) + y = (2 * (y / (h - 1)) - 1) + z = (2 * (z / (d - 1)) - 1) + + yy = y.view(1, -1, 1).repeat(d, 1, w) + xx = x.view(1, 1, -1).repeat(d, h, 1) + zz = z.view(-1, 1, 1).repeat(1, h, w) + + meshed = torch.cat([xx.unsqueeze_(3), yy.unsqueeze_(3), zz.unsqueeze_(3)], 3) + + return meshed + + +class ResBottleneck(nn.Module): + def __init__(self, in_features, stride): + super(ResBottleneck, self).__init__() + self.conv1 = nn.Conv2d(in_channels=in_features, out_channels=in_features//4, kernel_size=1) + self.conv2 = nn.Conv2d(in_channels=in_features//4, out_channels=in_features//4, kernel_size=3, padding=1, stride=stride) + self.conv3 = nn.Conv2d(in_channels=in_features//4, out_channels=in_features, kernel_size=1) + self.norm1 = BatchNorm2d(in_features//4, affine=True) + self.norm2 = BatchNorm2d(in_features//4, affine=True) + self.norm3 = BatchNorm2d(in_features, affine=True) + + self.stride = stride + if self.stride != 1: + self.skip = nn.Conv2d(in_channels=in_features, out_channels=in_features, kernel_size=1, stride=stride) + self.norm4 = BatchNorm2d(in_features, affine=True) + + def forward(self, x): + out = self.conv1(x) + out = self.norm1(out) + out = F.relu(out) + out = self.conv2(out) + out = self.norm2(out) + out = F.relu(out) + out = self.conv3(out) + out = self.norm3(out) + if self.stride != 1: + x = self.skip(x) + x = self.norm4(x) + out += x + out = F.relu(out) + return out + + +class ResBlock2d(nn.Module): + """ + Res block, preserve spatial resolution. + """ + + def __init__(self, in_features, kernel_size, padding): + super(ResBlock2d, self).__init__() + self.conv1 = nn.Conv2d(in_channels=in_features, out_channels=in_features, kernel_size=kernel_size, + padding=padding) + self.conv2 = nn.Conv2d(in_channels=in_features, out_channels=in_features, kernel_size=kernel_size, + padding=padding) + self.norm1 = BatchNorm2d(in_features, affine=True) + self.norm2 = BatchNorm2d(in_features, affine=True) + + def forward(self, x): + out = self.norm1(x) + out = F.relu(out) + out = self.conv1(out) + out = self.norm2(out) + out = F.relu(out) + out = self.conv2(out) + out += x + return out + + +class ResBlock3d(nn.Module): + """ + Res block, preserve spatial resolution. + """ + + def __init__(self, in_features, kernel_size, padding): + super(ResBlock3d, self).__init__() + self.conv1 = nn.Conv3d(in_channels=in_features, out_channels=in_features, kernel_size=kernel_size, + padding=padding) + self.conv2 = nn.Conv3d(in_channels=in_features, out_channels=in_features, kernel_size=kernel_size, + padding=padding) + self.norm1 = BatchNorm3d(in_features, affine=True) + self.norm2 = BatchNorm3d(in_features, affine=True) + + def forward(self, x): + out = self.norm1(x) + out = F.relu(out) + out = self.conv1(out) + out = self.norm2(out) + out = F.relu(out) + out = self.conv2(out) + out += x + return out + + +class UpBlock2d(nn.Module): + """ + Upsampling block for use in decoder. + """ + + def __init__(self, in_features, out_features, kernel_size=3, padding=1, groups=1): + super(UpBlock2d, self).__init__() + + self.conv = nn.Conv2d(in_channels=in_features, out_channels=out_features, kernel_size=kernel_size, + padding=padding, groups=groups) + self.norm = BatchNorm2d(out_features, affine=True) + + def forward(self, x): + out = F.interpolate(x, scale_factor=2) + out = self.conv(out) + out = self.norm(out) + out = F.relu(out) + return out + +class UpBlock3d(nn.Module): + """ + Upsampling block for use in decoder. + """ + + def __init__(self, in_features, out_features, kernel_size=3, padding=1, groups=1): + super(UpBlock3d, self).__init__() + + self.conv = nn.Conv3d(in_channels=in_features, out_channels=out_features, kernel_size=kernel_size, + padding=padding, groups=groups) + self.norm = BatchNorm3d(out_features, affine=True) + + def forward(self, x): + # out = F.interpolate(x, scale_factor=(1, 2, 2), mode='trilinear') + out = F.interpolate(x, scale_factor=(1, 2, 2)) + out = self.conv(out) + out = self.norm(out) + out = F.relu(out) + return out + + +class DownBlock2d(nn.Module): + """ + Downsampling block for use in encoder. + """ + + def __init__(self, in_features, out_features, kernel_size=3, padding=1, groups=1): + super(DownBlock2d, self).__init__() + self.conv = nn.Conv2d(in_channels=in_features, out_channels=out_features, kernel_size=kernel_size, + padding=padding, groups=groups) + self.norm = BatchNorm2d(out_features, affine=True) + self.pool = nn.AvgPool2d(kernel_size=(2, 2)) + + def forward(self, x): + out = self.conv(x) + out = self.norm(out) + out = F.relu(out) + out = self.pool(out) + return out + + +class DownBlock3d(nn.Module): + """ + Downsampling block for use in encoder. + """ + + def __init__(self, in_features, out_features, kernel_size=3, padding=1, groups=1): + super(DownBlock3d, self).__init__() + ''' + self.conv = nn.Conv3d(in_channels=in_features, out_channels=out_features, kernel_size=kernel_size, + padding=padding, groups=groups, stride=(1, 2, 2)) + ''' + self.conv = nn.Conv3d(in_channels=in_features, out_channels=out_features, kernel_size=kernel_size, + padding=padding, groups=groups) + self.norm = BatchNorm3d(out_features, affine=True) + self.pool = nn.AvgPool3d(kernel_size=(1, 2, 2)) + + def forward(self, x): + out = self.conv(x) + out = self.norm(out) + out = F.relu(out) + out = self.pool(out) + return out + + +class SameBlock2d(nn.Module): + """ + Simple block, preserve spatial resolution. + """ + + def __init__(self, in_features, out_features, groups=1, kernel_size=3, padding=1, lrelu=False): + super(SameBlock2d, self).__init__() + self.conv = nn.Conv2d(in_channels=in_features, out_channels=out_features, + kernel_size=kernel_size, padding=padding, groups=groups) + self.norm = BatchNorm2d(out_features, affine=True) + if lrelu: + self.ac = nn.LeakyReLU() + else: + self.ac = nn.ReLU() + + def forward(self, x): + out = self.conv(x) + out = self.norm(out) + out = self.ac(out) + return out + + +class Encoder(nn.Module): + """ + Hourglass Encoder + """ + + def __init__(self, block_expansion, in_features, num_blocks=3, max_features=256): + super(Encoder, self).__init__() + + down_blocks = [] + for i in range(num_blocks): + down_blocks.append(DownBlock3d(in_features if i == 0 else min(max_features, block_expansion * (2 ** i)), + min(max_features, block_expansion * (2 ** (i + 1))), + kernel_size=3, padding=1)) + self.down_blocks = nn.ModuleList(down_blocks) + + def forward(self, x): + outs = [x] + for down_block in self.down_blocks: + outs.append(down_block(outs[-1])) + return outs + + +class Decoder(nn.Module): + """ + Hourglass Decoder + """ + + def __init__(self, block_expansion, in_features, num_blocks=3, max_features=256): + super(Decoder, self).__init__() + + up_blocks = [] + + for i in range(num_blocks)[::-1]: + in_filters = (1 if i == num_blocks - 1 else 2) * min(max_features, block_expansion * (2 ** (i + 1))) + out_filters = min(max_features, block_expansion * (2 ** i)) + up_blocks.append(UpBlock3d(in_filters, out_filters, kernel_size=3, padding=1)) + + self.up_blocks = nn.ModuleList(up_blocks) + # self.out_filters = block_expansion + self.out_filters = block_expansion + in_features + + self.conv = nn.Conv3d(in_channels=self.out_filters, out_channels=self.out_filters, kernel_size=3, padding=1) + self.norm = BatchNorm3d(self.out_filters, affine=True) + + def forward(self, x): + out = x.pop() + # for up_block in self.up_blocks[:-1]: + for up_block in self.up_blocks: + out = up_block(out) + skip = x.pop() + out = torch.cat([out, skip], dim=1) + # out = self.up_blocks[-1](out) + out = self.conv(out) + out = self.norm(out) + out = F.relu(out) + return out + + +class Hourglass(nn.Module): + """ + Hourglass architecture. + """ + + def __init__(self, block_expansion, in_features, num_blocks=3, max_features=256): + super(Hourglass, self).__init__() + self.encoder = Encoder(block_expansion, in_features, num_blocks, max_features) + self.decoder = Decoder(block_expansion, in_features, num_blocks, max_features) + self.out_filters = self.decoder.out_filters + + def forward(self, x): + return self.decoder(self.encoder(x)) + + +class KPHourglass(nn.Module): + """ + Hourglass architecture. + """ + + def __init__(self, block_expansion, in_features, reshape_features, reshape_depth, num_blocks=3, max_features=256): + super(KPHourglass, self).__init__() + + self.down_blocks = nn.Sequential() + for i in range(num_blocks): + self.down_blocks.add_module('down'+ str(i), DownBlock2d(in_features if i == 0 else min(max_features, block_expansion * (2 ** i)), + min(max_features, block_expansion * (2 ** (i + 1))), + kernel_size=3, padding=1)) + + in_filters = min(max_features, block_expansion * (2 ** num_blocks)) + self.conv = nn.Conv2d(in_channels=in_filters, out_channels=reshape_features, kernel_size=1) + + self.up_blocks = nn.Sequential() + for i in range(num_blocks): + in_filters = min(max_features, block_expansion * (2 ** (num_blocks - i))) + out_filters = min(max_features, block_expansion * (2 ** (num_blocks - i - 1))) + self.up_blocks.add_module('up'+ str(i), UpBlock3d(in_filters, out_filters, kernel_size=3, padding=1)) + + self.reshape_depth = reshape_depth + self.out_filters = out_filters + + def forward(self, x): + out = self.down_blocks(x) + out = self.conv(out) + bs, c, h, w = out.shape + out = out.view(bs, c//self.reshape_depth, self.reshape_depth, h, w) + out = self.up_blocks(out) + + return out + + + +class AntiAliasInterpolation2d(nn.Module): + """ + Band-limited downsampling, for better preservation of the input signal. + """ + def __init__(self, channels, scale): + super(AntiAliasInterpolation2d, self).__init__() + sigma = (1 / scale - 1) / 2 + kernel_size = 2 * round(sigma * 4) + 1 + self.ka = kernel_size // 2 + self.kb = self.ka - 1 if kernel_size % 2 == 0 else self.ka + + kernel_size = [kernel_size, kernel_size] + sigma = [sigma, sigma] + # The gaussian kernel is the product of the + # gaussian function of each dimension. + kernel = 1 + meshgrids = torch.meshgrid( + [ + torch.arange(size, dtype=torch.float32) + for size in kernel_size + ] + ) + for size, std, mgrid in zip(kernel_size, sigma, meshgrids): + mean = (size - 1) / 2 + kernel *= torch.exp(-(mgrid - mean) ** 2 / (2 * std ** 2)) + + # Make sure sum of values in gaussian kernel equals 1. + kernel = kernel / torch.sum(kernel) + # Reshape to depthwise convolutional weight + kernel = kernel.view(1, 1, *kernel.size()) + kernel = kernel.repeat(channels, *[1] * (kernel.dim() - 1)) + + self.register_buffer('weight', kernel) + self.groups = channels + self.scale = scale + inv_scale = 1 / scale + self.int_inv_scale = int(inv_scale) + + def forward(self, input): + if self.scale == 1.0: + return input + + out = F.pad(input, (self.ka, self.kb, self.ka, self.kb)) + out = F.conv2d(out, weight=self.weight, groups=self.groups) + out = out[:, :, ::self.int_inv_scale, ::self.int_inv_scale] + + return out + + +class SPADE(nn.Module): + def __init__(self, norm_nc, label_nc): + super().__init__() + + self.param_free_norm = nn.InstanceNorm2d(norm_nc, affine=False) + nhidden = 128 + + self.mlp_shared = nn.Sequential( + nn.Conv2d(label_nc, nhidden, kernel_size=3, padding=1), + nn.ReLU()) + self.mlp_gamma = nn.Conv2d(nhidden, norm_nc, kernel_size=3, padding=1) + self.mlp_beta = nn.Conv2d(nhidden, norm_nc, kernel_size=3, padding=1) + + def forward(self, x, segmap): + normalized = self.param_free_norm(x) + segmap = F.interpolate(segmap, size=x.size()[2:], mode='nearest') + actv = self.mlp_shared(segmap) + gamma = self.mlp_gamma(actv) + beta = self.mlp_beta(actv) + out = normalized * (1 + gamma) + beta + return out + + +class SPADEResnetBlock(nn.Module): + def __init__(self, fin, fout, norm_G, label_nc, use_se=False, dilation=1): + super().__init__() + # Attributes + self.learned_shortcut = (fin != fout) + fmiddle = min(fin, fout) + self.use_se = use_se + # create conv layers + self.conv_0 = nn.Conv2d(fin, fmiddle, kernel_size=3, padding=dilation, dilation=dilation) + self.conv_1 = nn.Conv2d(fmiddle, fout, kernel_size=3, padding=dilation, dilation=dilation) + if self.learned_shortcut: + self.conv_s = nn.Conv2d(fin, fout, kernel_size=1, bias=False) + # apply spectral norm if specified + if 'spectral' in norm_G: + self.conv_0 = spectral_norm(self.conv_0) + self.conv_1 = spectral_norm(self.conv_1) + if self.learned_shortcut: + self.conv_s = spectral_norm(self.conv_s) + # define normalization layers + self.norm_0 = SPADE(fin, label_nc) + self.norm_1 = SPADE(fmiddle, label_nc) + if self.learned_shortcut: + self.norm_s = SPADE(fin, label_nc) + + def forward(self, x, seg1): + x_s = self.shortcut(x, seg1) + dx = self.conv_0(self.actvn(self.norm_0(x, seg1))) + dx = self.conv_1(self.actvn(self.norm_1(dx, seg1))) + out = x_s + dx + return out + + def shortcut(self, x, seg1): + if self.learned_shortcut: + x_s = self.conv_s(self.norm_s(x, seg1)) + else: + x_s = x + return x_s + + def actvn(self, x): + return F.leaky_relu(x, 2e-1) + +class audio2image(nn.Module): + def __init__(self, generator, kp_extractor, he_estimator_video, he_estimator_audio, train_params): + super().__init__() + # Attributes + self.generator = generator + self.kp_extractor = kp_extractor + self.he_estimator_video = he_estimator_video + self.he_estimator_audio = he_estimator_audio + self.train_params = train_params + + def headpose_pred_to_degree(self, pred): + device = pred.device + idx_tensor = [idx for idx in range(66)] + idx_tensor = torch.FloatTensor(idx_tensor).to(device) + pred = F.softmax(pred) + degree = torch.sum(pred*idx_tensor, 1) * 3 - 99 + + return degree + + def get_rotation_matrix(self, yaw, pitch, roll): + yaw = yaw / 180 * 3.14 + pitch = pitch / 180 * 3.14 + roll = roll / 180 * 3.14 + + roll = roll.unsqueeze(1) + pitch = pitch.unsqueeze(1) + yaw = yaw.unsqueeze(1) + + roll_mat = torch.cat([torch.ones_like(roll), torch.zeros_like(roll), torch.zeros_like(roll), + torch.zeros_like(roll), torch.cos(roll), -torch.sin(roll), + torch.zeros_like(roll), torch.sin(roll), torch.cos(roll)], dim=1) + roll_mat = roll_mat.view(roll_mat.shape[0], 3, 3) + + pitch_mat = torch.cat([torch.cos(pitch), torch.zeros_like(pitch), torch.sin(pitch), + torch.zeros_like(pitch), torch.ones_like(pitch), torch.zeros_like(pitch), + -torch.sin(pitch), torch.zeros_like(pitch), torch.cos(pitch)], dim=1) + pitch_mat = pitch_mat.view(pitch_mat.shape[0], 3, 3) + + yaw_mat = torch.cat([torch.cos(yaw), -torch.sin(yaw), torch.zeros_like(yaw), + torch.sin(yaw), torch.cos(yaw), torch.zeros_like(yaw), + torch.zeros_like(yaw), torch.zeros_like(yaw), torch.ones_like(yaw)], dim=1) + yaw_mat = yaw_mat.view(yaw_mat.shape[0], 3, 3) + + rot_mat = torch.einsum('bij,bjk,bkm->bim', roll_mat, pitch_mat, yaw_mat) + + return rot_mat + + def keypoint_transformation(self, kp_canonical, he): + kp = kp_canonical['value'] # (bs, k, 3) + yaw, pitch, roll = he['yaw'], he['pitch'], he['roll'] + t, exp = he['t'], he['exp'] + + yaw = self.headpose_pred_to_degree(yaw) + pitch = self.headpose_pred_to_degree(pitch) + roll = self.headpose_pred_to_degree(roll) + + rot_mat = self.get_rotation_matrix(yaw, pitch, roll) # (bs, 3, 3) + + # keypoint rotation + kp_rotated = torch.einsum('bmp,bkp->bkm', rot_mat, kp) + + + + # keypoint translation + t = t.unsqueeze_(1).repeat(1, kp.shape[1], 1) + kp_t = kp_rotated + t + + # add expression deviation + exp = exp.view(exp.shape[0], -1, 3) + kp_transformed = kp_t + exp + + return {'value': kp_transformed} + + def forward(self, source_image, target_audio): + pose_source = self.he_estimator_video(source_image) + pose_generated = self.he_estimator_audio(target_audio) + kp_canonical = self.kp_extractor(source_image) + kp_source = self.keypoint_transformation(kp_canonical, pose_source) + kp_transformed_generated = self.keypoint_transformation(kp_canonical, pose_generated) + generated = self.generator(source_image, kp_source=kp_source, kp_driving=kp_transformed_generated) + return generated \ No newline at end of file diff --git a/src/facerender/pirender/base_function.py b/src/facerender/pirender/base_function.py new file mode 100644 index 0000000000000000000000000000000000000000..49fe4cf3d07c4a22f7d7db4bf0a97ebddc87dd72 --- /dev/null +++ b/src/facerender/pirender/base_function.py @@ -0,0 +1,368 @@ +import sys +import math + +import torch +from torch import nn +from torch.nn import functional as F +from torch.autograd import Function +from torch.nn.utils.spectral_norm import spectral_norm as SpectralNorm + + +class LayerNorm2d(nn.Module): + def __init__(self, n_out, affine=True): + super(LayerNorm2d, self).__init__() + self.n_out = n_out + self.affine = affine + + if self.affine: + self.weight = nn.Parameter(torch.ones(n_out, 1, 1)) + self.bias = nn.Parameter(torch.zeros(n_out, 1, 1)) + + def forward(self, x): + normalized_shape = x.size()[1:] + if self.affine: + return F.layer_norm(x, normalized_shape, \ + self.weight.expand(normalized_shape), + self.bias.expand(normalized_shape)) + + else: + return F.layer_norm(x, normalized_shape) + +class ADAINHourglass(nn.Module): + def __init__(self, image_nc, pose_nc, ngf, img_f, encoder_layers, decoder_layers, nonlinearity, use_spect): + super(ADAINHourglass, self).__init__() + self.encoder = ADAINEncoder(image_nc, pose_nc, ngf, img_f, encoder_layers, nonlinearity, use_spect) + self.decoder = ADAINDecoder(pose_nc, ngf, img_f, encoder_layers, decoder_layers, True, nonlinearity, use_spect) + self.output_nc = self.decoder.output_nc + + def forward(self, x, z): + return self.decoder(self.encoder(x, z), z) + + + +class ADAINEncoder(nn.Module): + def __init__(self, image_nc, pose_nc, ngf, img_f, layers, nonlinearity=nn.LeakyReLU(), use_spect=False): + super(ADAINEncoder, self).__init__() + self.layers = layers + self.input_layer = nn.Conv2d(image_nc, ngf, kernel_size=7, stride=1, padding=3) + for i in range(layers): + in_channels = min(ngf * (2**i), img_f) + out_channels = min(ngf *(2**(i+1)), img_f) + model = ADAINEncoderBlock(in_channels, out_channels, pose_nc, nonlinearity, use_spect) + setattr(self, 'encoder' + str(i), model) + self.output_nc = out_channels + + def forward(self, x, z): + out = self.input_layer(x) + out_list = [out] + for i in range(self.layers): + model = getattr(self, 'encoder' + str(i)) + out = model(out, z) + out_list.append(out) + return out_list + +class ADAINDecoder(nn.Module): + """docstring for ADAINDecoder""" + def __init__(self, pose_nc, ngf, img_f, encoder_layers, decoder_layers, skip_connect=True, + nonlinearity=nn.LeakyReLU(), use_spect=False): + + super(ADAINDecoder, self).__init__() + self.encoder_layers = encoder_layers + self.decoder_layers = decoder_layers + self.skip_connect = skip_connect + use_transpose = True + + for i in range(encoder_layers-decoder_layers, encoder_layers)[::-1]: + in_channels = min(ngf * (2**(i+1)), img_f) + in_channels = in_channels*2 if i != (encoder_layers-1) and self.skip_connect else in_channels + out_channels = min(ngf * (2**i), img_f) + model = ADAINDecoderBlock(in_channels, out_channels, out_channels, pose_nc, use_transpose, nonlinearity, use_spect) + setattr(self, 'decoder' + str(i), model) + + self.output_nc = out_channels*2 if self.skip_connect else out_channels + + def forward(self, x, z): + out = x.pop() if self.skip_connect else x + for i in range(self.encoder_layers-self.decoder_layers, self.encoder_layers)[::-1]: + model = getattr(self, 'decoder' + str(i)) + out = model(out, z) + out = torch.cat([out, x.pop()], 1) if self.skip_connect else out + return out + +class ADAINEncoderBlock(nn.Module): + def __init__(self, input_nc, output_nc, feature_nc, nonlinearity=nn.LeakyReLU(), use_spect=False): + super(ADAINEncoderBlock, self).__init__() + kwargs_down = {'kernel_size': 4, 'stride': 2, 'padding': 1} + kwargs_fine = {'kernel_size': 3, 'stride': 1, 'padding': 1} + + self.conv_0 = spectral_norm(nn.Conv2d(input_nc, output_nc, **kwargs_down), use_spect) + self.conv_1 = spectral_norm(nn.Conv2d(output_nc, output_nc, **kwargs_fine), use_spect) + + + self.norm_0 = ADAIN(input_nc, feature_nc) + self.norm_1 = ADAIN(output_nc, feature_nc) + self.actvn = nonlinearity + + def forward(self, x, z): + x = self.conv_0(self.actvn(self.norm_0(x, z))) + x = self.conv_1(self.actvn(self.norm_1(x, z))) + return x + +class ADAINDecoderBlock(nn.Module): + def __init__(self, input_nc, output_nc, hidden_nc, feature_nc, use_transpose=True, nonlinearity=nn.LeakyReLU(), use_spect=False): + super(ADAINDecoderBlock, self).__init__() + # Attributes + self.actvn = nonlinearity + hidden_nc = min(input_nc, output_nc) if hidden_nc is None else hidden_nc + + kwargs_fine = {'kernel_size':3, 'stride':1, 'padding':1} + if use_transpose: + kwargs_up = {'kernel_size':3, 'stride':2, 'padding':1, 'output_padding':1} + else: + kwargs_up = {'kernel_size':3, 'stride':1, 'padding':1} + + # create conv layers + self.conv_0 = spectral_norm(nn.Conv2d(input_nc, hidden_nc, **kwargs_fine), use_spect) + if use_transpose: + self.conv_1 = spectral_norm(nn.ConvTranspose2d(hidden_nc, output_nc, **kwargs_up), use_spect) + self.conv_s = spectral_norm(nn.ConvTranspose2d(input_nc, output_nc, **kwargs_up), use_spect) + else: + self.conv_1 = nn.Sequential(spectral_norm(nn.Conv2d(hidden_nc, output_nc, **kwargs_up), use_spect), + nn.Upsample(scale_factor=2)) + self.conv_s = nn.Sequential(spectral_norm(nn.Conv2d(input_nc, output_nc, **kwargs_up), use_spect), + nn.Upsample(scale_factor=2)) + # define normalization layers + self.norm_0 = ADAIN(input_nc, feature_nc) + self.norm_1 = ADAIN(hidden_nc, feature_nc) + self.norm_s = ADAIN(input_nc, feature_nc) + + def forward(self, x, z): + x_s = self.shortcut(x, z) + dx = self.conv_0(self.actvn(self.norm_0(x, z))) + dx = self.conv_1(self.actvn(self.norm_1(dx, z))) + out = x_s + dx + return out + + def shortcut(self, x, z): + x_s = self.conv_s(self.actvn(self.norm_s(x, z))) + return x_s + + +def spectral_norm(module, use_spect=True): + """use spectral normal layer to stable the training process""" + if use_spect: + return SpectralNorm(module) + else: + return module + + +class ADAIN(nn.Module): + def __init__(self, norm_nc, feature_nc): + super().__init__() + + self.param_free_norm = nn.InstanceNorm2d(norm_nc, affine=False) + + nhidden = 128 + use_bias=True + + self.mlp_shared = nn.Sequential( + nn.Linear(feature_nc, nhidden, bias=use_bias), + nn.ReLU() + ) + self.mlp_gamma = nn.Linear(nhidden, norm_nc, bias=use_bias) + self.mlp_beta = nn.Linear(nhidden, norm_nc, bias=use_bias) + + def forward(self, x, feature): + + # Part 1. generate parameter-free normalized activations + normalized = self.param_free_norm(x) + + # Part 2. produce scaling and bias conditioned on feature + feature = feature.view(feature.size(0), -1) + actv = self.mlp_shared(feature) + gamma = self.mlp_gamma(actv) + beta = self.mlp_beta(actv) + + # apply scale and bias + gamma = gamma.view(*gamma.size()[:2], 1,1) + beta = beta.view(*beta.size()[:2], 1,1) + out = normalized * (1 + gamma) + beta + return out + + +class FineEncoder(nn.Module): + """docstring for Encoder""" + def __init__(self, image_nc, ngf, img_f, layers, norm_layer=nn.BatchNorm2d, nonlinearity=nn.LeakyReLU(), use_spect=False): + super(FineEncoder, self).__init__() + self.layers = layers + self.first = FirstBlock2d(image_nc, ngf, norm_layer, nonlinearity, use_spect) + for i in range(layers): + in_channels = min(ngf*(2**i), img_f) + out_channels = min(ngf*(2**(i+1)), img_f) + model = DownBlock2d(in_channels, out_channels, norm_layer, nonlinearity, use_spect) + setattr(self, 'down' + str(i), model) + self.output_nc = out_channels + + def forward(self, x): + x = self.first(x) + out=[x] + for i in range(self.layers): + model = getattr(self, 'down'+str(i)) + x = model(x) + out.append(x) + return out + +class FineDecoder(nn.Module): + """docstring for FineDecoder""" + def __init__(self, image_nc, feature_nc, ngf, img_f, layers, num_block, norm_layer=nn.BatchNorm2d, nonlinearity=nn.LeakyReLU(), use_spect=False): + super(FineDecoder, self).__init__() + self.layers = layers + for i in range(layers)[::-1]: + in_channels = min(ngf*(2**(i+1)), img_f) + out_channels = min(ngf*(2**i), img_f) + up = UpBlock2d(in_channels, out_channels, norm_layer, nonlinearity, use_spect) + res = FineADAINResBlocks(num_block, in_channels, feature_nc, norm_layer, nonlinearity, use_spect) + jump = Jump(out_channels, norm_layer, nonlinearity, use_spect) + + setattr(self, 'up' + str(i), up) + setattr(self, 'res' + str(i), res) + setattr(self, 'jump' + str(i), jump) + + self.final = FinalBlock2d(out_channels, image_nc, use_spect, 'tanh') + + self.output_nc = out_channels + + def forward(self, x, z): + out = x.pop() + for i in range(self.layers)[::-1]: + res_model = getattr(self, 'res' + str(i)) + up_model = getattr(self, 'up' + str(i)) + jump_model = getattr(self, 'jump' + str(i)) + out = res_model(out, z) + out = up_model(out) + out = jump_model(x.pop()) + out + out_image = self.final(out) + return out_image + +class FirstBlock2d(nn.Module): + """ + Downsampling block for use in encoder. + """ + def __init__(self, input_nc, output_nc, norm_layer=nn.BatchNorm2d, nonlinearity=nn.LeakyReLU(), use_spect=False): + super(FirstBlock2d, self).__init__() + kwargs = {'kernel_size': 7, 'stride': 1, 'padding': 3} + conv = spectral_norm(nn.Conv2d(input_nc, output_nc, **kwargs), use_spect) + + if type(norm_layer) == type(None): + self.model = nn.Sequential(conv, nonlinearity) + else: + self.model = nn.Sequential(conv, norm_layer(output_nc), nonlinearity) + + + def forward(self, x): + out = self.model(x) + return out + +class DownBlock2d(nn.Module): + def __init__(self, input_nc, output_nc, norm_layer=nn.BatchNorm2d, nonlinearity=nn.LeakyReLU(), use_spect=False): + super(DownBlock2d, self).__init__() + + + kwargs = {'kernel_size': 3, 'stride': 1, 'padding': 1} + conv = spectral_norm(nn.Conv2d(input_nc, output_nc, **kwargs), use_spect) + pool = nn.AvgPool2d(kernel_size=(2, 2)) + + if type(norm_layer) == type(None): + self.model = nn.Sequential(conv, nonlinearity, pool) + else: + self.model = nn.Sequential(conv, norm_layer(output_nc), nonlinearity, pool) + + def forward(self, x): + out = self.model(x) + return out + +class UpBlock2d(nn.Module): + def __init__(self, input_nc, output_nc, norm_layer=nn.BatchNorm2d, nonlinearity=nn.LeakyReLU(), use_spect=False): + super(UpBlock2d, self).__init__() + kwargs = {'kernel_size': 3, 'stride': 1, 'padding': 1} + conv = spectral_norm(nn.Conv2d(input_nc, output_nc, **kwargs), use_spect) + if type(norm_layer) == type(None): + self.model = nn.Sequential(conv, nonlinearity) + else: + self.model = nn.Sequential(conv, norm_layer(output_nc), nonlinearity) + + def forward(self, x): + out = self.model(F.interpolate(x, scale_factor=2)) + return out + +class FineADAINResBlocks(nn.Module): + def __init__(self, num_block, input_nc, feature_nc, norm_layer=nn.BatchNorm2d, nonlinearity=nn.LeakyReLU(), use_spect=False): + super(FineADAINResBlocks, self).__init__() + self.num_block = num_block + for i in range(num_block): + model = FineADAINResBlock2d(input_nc, feature_nc, norm_layer, nonlinearity, use_spect) + setattr(self, 'res'+str(i), model) + + def forward(self, x, z): + for i in range(self.num_block): + model = getattr(self, 'res'+str(i)) + x = model(x, z) + return x + +class Jump(nn.Module): + def __init__(self, input_nc, norm_layer=nn.BatchNorm2d, nonlinearity=nn.LeakyReLU(), use_spect=False): + super(Jump, self).__init__() + kwargs = {'kernel_size': 3, 'stride': 1, 'padding': 1} + conv = spectral_norm(nn.Conv2d(input_nc, input_nc, **kwargs), use_spect) + + if type(norm_layer) == type(None): + self.model = nn.Sequential(conv, nonlinearity) + else: + self.model = nn.Sequential(conv, norm_layer(input_nc), nonlinearity) + + def forward(self, x): + out = self.model(x) + return out + +class FineADAINResBlock2d(nn.Module): + """ + Define an Residual block for different types + """ + def __init__(self, input_nc, feature_nc, norm_layer=nn.BatchNorm2d, nonlinearity=nn.LeakyReLU(), use_spect=False): + super(FineADAINResBlock2d, self).__init__() + + kwargs = {'kernel_size': 3, 'stride': 1, 'padding': 1} + + self.conv1 = spectral_norm(nn.Conv2d(input_nc, input_nc, **kwargs), use_spect) + self.conv2 = spectral_norm(nn.Conv2d(input_nc, input_nc, **kwargs), use_spect) + self.norm1 = ADAIN(input_nc, feature_nc) + self.norm2 = ADAIN(input_nc, feature_nc) + + self.actvn = nonlinearity + + + def forward(self, x, z): + dx = self.actvn(self.norm1(self.conv1(x), z)) + dx = self.norm2(self.conv2(x), z) + out = dx + x + return out + +class FinalBlock2d(nn.Module): + """ + Define the output layer + """ + def __init__(self, input_nc, output_nc, use_spect=False, tanh_or_sigmoid='tanh'): + super(FinalBlock2d, self).__init__() + + kwargs = {'kernel_size': 7, 'stride': 1, 'padding':3} + conv = spectral_norm(nn.Conv2d(input_nc, output_nc, **kwargs), use_spect) + + if tanh_or_sigmoid == 'sigmoid': + out_nonlinearity = nn.Sigmoid() + else: + out_nonlinearity = nn.Tanh() + + self.model = nn.Sequential(conv, out_nonlinearity) + def forward(self, x): + out = self.model(x) + return out \ No newline at end of file diff --git a/src/facerender/pirender/config.py b/src/facerender/pirender/config.py new file mode 100644 index 0000000000000000000000000000000000000000..c3f917385b5b1f7ed2809d963d3ad0f0c754459b --- /dev/null +++ b/src/facerender/pirender/config.py @@ -0,0 +1,211 @@ +import collections +import functools +import os +import re + +import yaml + +class AttrDict(dict): + """Dict as attribute trick.""" + + def __init__(self, *args, **kwargs): + super(AttrDict, self).__init__(*args, **kwargs) + self.__dict__ = self + for key, value in self.__dict__.items(): + if isinstance(value, dict): + self.__dict__[key] = AttrDict(value) + elif isinstance(value, (list, tuple)): + if isinstance(value[0], dict): + self.__dict__[key] = [AttrDict(item) for item in value] + else: + self.__dict__[key] = value + + def yaml(self): + """Convert object to yaml dict and return.""" + yaml_dict = {} + for key, value in self.__dict__.items(): + if isinstance(value, AttrDict): + yaml_dict[key] = value.yaml() + elif isinstance(value, list): + if isinstance(value[0], AttrDict): + new_l = [] + for item in value: + new_l.append(item.yaml()) + yaml_dict[key] = new_l + else: + yaml_dict[key] = value + else: + yaml_dict[key] = value + return yaml_dict + + def __repr__(self): + """Print all variables.""" + ret_str = [] + for key, value in self.__dict__.items(): + if isinstance(value, AttrDict): + ret_str.append('{}:'.format(key)) + child_ret_str = value.__repr__().split('\n') + for item in child_ret_str: + ret_str.append(' ' + item) + elif isinstance(value, list): + if isinstance(value[0], AttrDict): + ret_str.append('{}:'.format(key)) + for item in value: + # Treat as AttrDict above. + child_ret_str = item.__repr__().split('\n') + for item in child_ret_str: + ret_str.append(' ' + item) + else: + ret_str.append('{}: {}'.format(key, value)) + else: + ret_str.append('{}: {}'.format(key, value)) + return '\n'.join(ret_str) + + +class Config(AttrDict): + r"""Configuration class. This should include every human specifiable + hyperparameter values for your training.""" + + def __init__(self, filename=None, args=None, verbose=False, is_train=True): + super(Config, self).__init__() + # Set default parameters. + # Logging. + + large_number = 1000000000 + self.snapshot_save_iter = large_number + self.snapshot_save_epoch = large_number + self.snapshot_save_start_iter = 0 + self.snapshot_save_start_epoch = 0 + self.image_save_iter = large_number + self.eval_epoch = large_number + self.start_eval_epoch = large_number + self.eval_epoch = large_number + self.max_epoch = large_number + self.max_iter = large_number + self.logging_iter = 100 + self.image_to_tensorboard=False + self.which_iter = 0 # args.which_iter + self.resume = False + + self.checkpoints_dir = '/Users/shadowcun/Downloads/' + self.name = 'face' + self.phase = 'train' if is_train else 'test' + + # Networks. + self.gen = AttrDict(type='generators.dummy') + self.dis = AttrDict(type='discriminators.dummy') + + # Optimizers. + self.gen_optimizer = AttrDict(type='adam', + lr=0.0001, + adam_beta1=0.0, + adam_beta2=0.999, + eps=1e-8, + lr_policy=AttrDict(iteration_mode=False, + type='step', + step_size=large_number, + gamma=1)) + self.dis_optimizer = AttrDict(type='adam', + lr=0.0001, + adam_beta1=0.0, + adam_beta2=0.999, + eps=1e-8, + lr_policy=AttrDict(iteration_mode=False, + type='step', + step_size=large_number, + gamma=1)) + # Data. + self.data = AttrDict(name='dummy', + type='datasets.images', + num_workers=0) + self.test_data = AttrDict(name='dummy', + type='datasets.images', + num_workers=0, + test=AttrDict(is_lmdb=False, + roots='', + batch_size=1)) + self.trainer = AttrDict( + model_average=False, + model_average_beta=0.9999, + model_average_start_iteration=1000, + model_average_batch_norm_estimation_iteration=30, + model_average_remove_sn=True, + image_to_tensorboard=False, + hparam_to_tensorboard=False, + distributed_data_parallel='pytorch', + delay_allreduce=True, + gan_relativistic=False, + gen_step=1, + dis_step=1) + + # # Cudnn. + self.cudnn = AttrDict(deterministic=False, + benchmark=True) + + # Others. + self.pretrained_weight = '' + self.inference_args = AttrDict() + + + # Update with given configurations. + assert os.path.exists(filename), 'File {} not exist.'.format(filename) + loader = yaml.SafeLoader + loader.add_implicit_resolver( + u'tag:yaml.org,2002:float', + re.compile(u'''^(?: + [-+]?(?:[0-9][0-9_]*)\\.[0-9_]*(?:[eE][-+]?[0-9]+)? + |[-+]?(?:[0-9][0-9_]*)(?:[eE][-+]?[0-9]+) + |\\.[0-9_]+(?:[eE][-+][0-9]+)? + |[-+]?[0-9][0-9_]*(?::[0-5]?[0-9])+\\.[0-9_]* + |[-+]?\\.(?:inf|Inf|INF) + |\\.(?:nan|NaN|NAN))$''', re.X), + list(u'-+0123456789.')) + try: + with open(filename, 'r') as f: + cfg_dict = yaml.load(f, Loader=loader) + except EnvironmentError: + print('Please check the file with name of "%s"', filename) + recursive_update(self, cfg_dict) + + # Put common opts in both gen and dis. + if 'common' in cfg_dict: + self.common = AttrDict(**cfg_dict['common']) + self.gen.common = self.common + self.dis.common = self.common + + + if verbose: + print(' config '.center(80, '-')) + print(self.__repr__()) + print(''.center(80, '-')) + + +def rsetattr(obj, attr, val): + """Recursively find object and set value""" + pre, _, post = attr.rpartition('.') + return setattr(rgetattr(obj, pre) if pre else obj, post, val) + + +def rgetattr(obj, attr, *args): + """Recursively find object and return value""" + + def _getattr(obj, attr): + r"""Get attribute.""" + return getattr(obj, attr, *args) + + return functools.reduce(_getattr, [obj] + attr.split('.')) + + +def recursive_update(d, u): + """Recursively update AttrDict d with AttrDict u""" + for key, value in u.items(): + if isinstance(value, collections.abc.Mapping): + d.__dict__[key] = recursive_update(d.get(key, AttrDict({})), value) + elif isinstance(value, (list, tuple)): + if isinstance(value[0], dict): + d.__dict__[key] = [AttrDict(item) for item in value] + else: + d.__dict__[key] = value + else: + d.__dict__[key] = value + return d diff --git a/src/facerender/pirender/face_model.py b/src/facerender/pirender/face_model.py new file mode 100644 index 0000000000000000000000000000000000000000..51692c3f28f08e91d6956efcf528f5be51764721 --- /dev/null +++ b/src/facerender/pirender/face_model.py @@ -0,0 +1,178 @@ +import functools +import torch +import torch.nn as nn +from .base_function import LayerNorm2d, ADAINHourglass, FineEncoder, FineDecoder + +def convert_flow_to_deformation(flow): + r"""convert flow fields to deformations. + + Args: + flow (tensor): Flow field obtained by the model + Returns: + deformation (tensor): The deformation used for warpping + """ + b,c,h,w = flow.shape + flow_norm = 2 * torch.cat([flow[:,:1,...]/(w-1),flow[:,1:,...]/(h-1)], 1) + grid = make_coordinate_grid(flow) + deformation = grid + flow_norm.permute(0,2,3,1) + return deformation + +def make_coordinate_grid(flow): + r"""obtain coordinate grid with the same size as the flow filed. + + Args: + flow (tensor): Flow field obtained by the model + Returns: + grid (tensor): The grid with the same size as the input flow + """ + b,c,h,w = flow.shape + + x = torch.arange(w).to(flow) + y = torch.arange(h).to(flow) + + x = (2 * (x / (w - 1)) - 1) + y = (2 * (y / (h - 1)) - 1) + + yy = y.view(-1, 1).repeat(1, w) + xx = x.view(1, -1).repeat(h, 1) + + meshed = torch.cat([xx.unsqueeze_(2), yy.unsqueeze_(2)], 2) + meshed = meshed.expand(b, -1, -1, -1) + return meshed + + +def warp_image(source_image, deformation): + r"""warp the input image according to the deformation + + Args: + source_image (tensor): source images to be warpped + deformation (tensor): deformations used to warp the images; value in range (-1, 1) + Returns: + output (tensor): the warpped images + """ + _, h_old, w_old, _ = deformation.shape + _, _, h, w = source_image.shape + if h_old != h or w_old != w: + deformation = deformation.permute(0, 3, 1, 2) + deformation = torch.nn.functional.interpolate(deformation, size=(h, w), mode='bilinear') + deformation = deformation.permute(0, 2, 3, 1) + return torch.nn.functional.grid_sample(source_image, deformation) + + +class FaceGenerator(nn.Module): + def __init__( + self, + mapping_net, + warpping_net, + editing_net, + common + ): + super(FaceGenerator, self).__init__() + self.mapping_net = MappingNet(**mapping_net) + self.warpping_net = WarpingNet(**warpping_net, **common) + self.editing_net = EditingNet(**editing_net, **common) + + def forward( + self, + input_image, + driving_source, + stage=None + ): + if stage == 'warp': + descriptor = self.mapping_net(driving_source) + output = self.warpping_net(input_image, descriptor) + else: + descriptor = self.mapping_net(driving_source) + output = self.warpping_net(input_image, descriptor) + output['fake_image'] = self.editing_net(input_image, output['warp_image'], descriptor) + return output + +class MappingNet(nn.Module): + def __init__(self, coeff_nc, descriptor_nc, layer): + super( MappingNet, self).__init__() + + self.layer = layer + nonlinearity = nn.LeakyReLU(0.1) + + self.first = nn.Sequential( + torch.nn.Conv1d(coeff_nc, descriptor_nc, kernel_size=7, padding=0, bias=True)) + + for i in range(layer): + net = nn.Sequential(nonlinearity, + torch.nn.Conv1d(descriptor_nc, descriptor_nc, kernel_size=3, padding=0, dilation=3)) + setattr(self, 'encoder' + str(i), net) + + self.pooling = nn.AdaptiveAvgPool1d(1) + self.output_nc = descriptor_nc + + def forward(self, input_3dmm): + out = self.first(input_3dmm) + for i in range(self.layer): + model = getattr(self, 'encoder' + str(i)) + out = model(out) + out[:,:,3:-3] + out = self.pooling(out) + return out + +class WarpingNet(nn.Module): + def __init__( + self, + image_nc, + descriptor_nc, + base_nc, + max_nc, + encoder_layer, + decoder_layer, + use_spect + ): + super( WarpingNet, self).__init__() + + nonlinearity = nn.LeakyReLU(0.1) + norm_layer = functools.partial(LayerNorm2d, affine=True) + kwargs = {'nonlinearity':nonlinearity, 'use_spect':use_spect} + + self.descriptor_nc = descriptor_nc + self.hourglass = ADAINHourglass(image_nc, self.descriptor_nc, base_nc, + max_nc, encoder_layer, decoder_layer, **kwargs) + + self.flow_out = nn.Sequential(norm_layer(self.hourglass.output_nc), + nonlinearity, + nn.Conv2d(self.hourglass.output_nc, 2, kernel_size=7, stride=1, padding=3)) + + self.pool = nn.AdaptiveAvgPool2d(1) + + def forward(self, input_image, descriptor): + final_output={} + output = self.hourglass(input_image, descriptor) + final_output['flow_field'] = self.flow_out(output) + + deformation = convert_flow_to_deformation(final_output['flow_field']) + final_output['warp_image'] = warp_image(input_image, deformation) + return final_output + + +class EditingNet(nn.Module): + def __init__( + self, + image_nc, + descriptor_nc, + layer, + base_nc, + max_nc, + num_res_blocks, + use_spect): + super(EditingNet, self).__init__() + + nonlinearity = nn.LeakyReLU(0.1) + norm_layer = functools.partial(LayerNorm2d, affine=True) + kwargs = {'norm_layer':norm_layer, 'nonlinearity':nonlinearity, 'use_spect':use_spect} + self.descriptor_nc = descriptor_nc + + # encoder part + self.encoder = FineEncoder(image_nc*2, base_nc, max_nc, layer, **kwargs) + self.decoder = FineDecoder(image_nc, self.descriptor_nc, base_nc, max_nc, layer, num_res_blocks, **kwargs) + + def forward(self, input_image, warp_image, descriptor): + x = torch.cat([input_image, warp_image], 1) + x = self.encoder(x) + gen_image = self.decoder(x, descriptor) + return gen_image diff --git a/src/facerender/pirender_animate.py b/src/facerender/pirender_animate.py new file mode 100644 index 0000000000000000000000000000000000000000..406c081d77ff7b6cb9c0f3ed3721408e0d5657be --- /dev/null +++ b/src/facerender/pirender_animate.py @@ -0,0 +1,130 @@ +import os +import cv2 +from tqdm import tqdm +import yaml +import numpy as np +import warnings +from skimage import img_as_ubyte +import safetensors +import safetensors.torch +warnings.filterwarnings('ignore') + + +import imageio +import torch + +from src.facerender.pirender.config import Config +from src.facerender.pirender.face_model import FaceGenerator + +from pydub import AudioSegment +from src.utils.face_enhancer import enhancer_generator_with_len, enhancer_list +from src.utils.paste_pic import paste_pic +from src.utils.videoio import save_video_with_watermark + +try: + import webui # in webui + in_webui = True +except: + in_webui = False + +class AnimateFromCoeff_PIRender(): + + def __init__(self, sadtalker_path, device): + + opt = Config(sadtalker_path['pirender_yaml_path'], None, is_train=False) + opt.device = device + self.net_G_ema = FaceGenerator(**opt.gen.param).to(opt.device) + checkpoint_path = sadtalker_path['pirender_checkpoint'] + checkpoint = torch.load(checkpoint_path, map_location=lambda storage, loc: storage) + self.net_G_ema.load_state_dict(checkpoint['net_G_ema'], strict=False) + print('load [net_G] and [net_G_ema] from {}'.format(checkpoint_path)) + self.net_G = self.net_G_ema.eval() + self.device = device + + + def generate(self, x, video_save_dir, pic_path, crop_info, enhancer=None, background_enhancer=None, preprocess='crop', img_size=256): + + source_image=x['source_image'].type(torch.FloatTensor) + source_semantics=x['source_semantics'].type(torch.FloatTensor) + target_semantics=x['target_semantics_list'].type(torch.FloatTensor) + source_image=source_image.to(self.device) + source_semantics=source_semantics.to(self.device) + target_semantics=target_semantics.to(self.device) + frame_num = x['frame_num'] + + with torch.no_grad(): + predictions_video = [] + for i in tqdm(range(target_semantics.shape[1]), 'FaceRender:'): + predictions_video.append(self.net_G(source_image, target_semantics[:, i])['fake_image']) + + predictions_video = torch.stack(predictions_video, dim=1) + predictions_video = predictions_video.reshape((-1,)+predictions_video.shape[2:]) + + video = [] + for idx in range(len(predictions_video)): + image = predictions_video[idx] + image = np.transpose(image.data.cpu().numpy(), [1, 2, 0]).astype(np.float32) + video.append(image) + result = img_as_ubyte(video) + + ### the generated video is 256x256, so we keep the aspect ratio, + original_size = crop_info[0] + if original_size: + result = [ cv2.resize(result_i,(img_size, int(img_size * original_size[1]/original_size[0]) )) for result_i in result ] + + video_name = x['video_name'] + '.mp4' + path = os.path.join(video_save_dir, 'temp_'+video_name) + + imageio.mimsave(path, result, fps=float(25)) + + av_path = os.path.join(video_save_dir, video_name) + return_path = av_path + + audio_path = x['audio_path'] + audio_name = os.path.splitext(os.path.split(audio_path)[-1])[0] + new_audio_path = os.path.join(video_save_dir, audio_name+'.wav') + start_time = 0 + # cog will not keep the .mp3 filename + sound = AudioSegment.from_file(audio_path) + frames = frame_num + end_time = start_time + frames*1/25*1000 + word1=sound.set_frame_rate(16000) + word = word1[start_time:end_time] + word.export(new_audio_path, format="wav") + + save_video_with_watermark(path, new_audio_path, av_path, watermark= False) + print(f'The generated video is named {video_save_dir}/{video_name}') + + if 'full' in preprocess.lower(): + # only add watermark to the full image. + video_name_full = x['video_name'] + '_full.mp4' + full_video_path = os.path.join(video_save_dir, video_name_full) + return_path = full_video_path + paste_pic(path, pic_path, crop_info, new_audio_path, full_video_path, extended_crop= True if 'ext' in preprocess.lower() else False) + print(f'The generated video is named {video_save_dir}/{video_name_full}') + else: + full_video_path = av_path + + #### paste back then enhancers + if enhancer: + video_name_enhancer = x['video_name'] + '_enhanced.mp4' + enhanced_path = os.path.join(video_save_dir, 'temp_'+video_name_enhancer) + av_path_enhancer = os.path.join(video_save_dir, video_name_enhancer) + return_path = av_path_enhancer + + try: + enhanced_images_gen_with_len = enhancer_generator_with_len(full_video_path, method=enhancer, bg_upsampler=background_enhancer) + imageio.mimsave(enhanced_path, enhanced_images_gen_with_len, fps=float(25)) + except: + enhanced_images_gen_with_len = enhancer_list(full_video_path, method=enhancer, bg_upsampler=background_enhancer) + imageio.mimsave(enhanced_path, enhanced_images_gen_with_len, fps=float(25)) + + save_video_with_watermark(enhanced_path, new_audio_path, av_path_enhancer, watermark= False) + print(f'The generated video is named {video_save_dir}/{video_name_enhancer}') + os.remove(enhanced_path) + + os.remove(path) + os.remove(new_audio_path) + + return return_path + diff --git a/src/facerender/sync_batchnorm/__init__.py b/src/facerender/sync_batchnorm/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..bc8709d92c610b36e0bcbd7da20c1eb41dc8cfcf --- /dev/null +++ b/src/facerender/sync_batchnorm/__init__.py @@ -0,0 +1,12 @@ +# -*- coding: utf-8 -*- +# File : __init__.py +# Author : Jiayuan Mao +# Email : maojiayuan@gmail.com +# Date : 27/01/2018 +# +# This file is part of Synchronized-BatchNorm-PyTorch. +# https://github.com/vacancy/Synchronized-BatchNorm-PyTorch +# Distributed under MIT License. + +from .batchnorm import SynchronizedBatchNorm1d, SynchronizedBatchNorm2d, SynchronizedBatchNorm3d +from .replicate import DataParallelWithCallback, patch_replication_callback diff --git a/src/facerender/sync_batchnorm/batchnorm.py b/src/facerender/sync_batchnorm/batchnorm.py new file mode 100644 index 0000000000000000000000000000000000000000..5f4e763f0366dffa10320116413f8c7181a8aeb1 --- /dev/null +++ b/src/facerender/sync_batchnorm/batchnorm.py @@ -0,0 +1,315 @@ +# -*- coding: utf-8 -*- +# File : batchnorm.py +# Author : Jiayuan Mao +# Email : maojiayuan@gmail.com +# Date : 27/01/2018 +# +# This file is part of Synchronized-BatchNorm-PyTorch. +# https://github.com/vacancy/Synchronized-BatchNorm-PyTorch +# Distributed under MIT License. + +import collections + +import torch +import torch.nn.functional as F + +from torch.nn.modules.batchnorm import _BatchNorm +from torch.nn.parallel._functions import ReduceAddCoalesced, Broadcast + +from .comm import SyncMaster + +__all__ = ['SynchronizedBatchNorm1d', 'SynchronizedBatchNorm2d', 'SynchronizedBatchNorm3d'] + + +def _sum_ft(tensor): + """sum over the first and last dimention""" + return tensor.sum(dim=0).sum(dim=-1) + + +def _unsqueeze_ft(tensor): + """add new dementions at the front and the tail""" + return tensor.unsqueeze(0).unsqueeze(-1) + + +_ChildMessage = collections.namedtuple('_ChildMessage', ['sum', 'ssum', 'sum_size']) +_MasterMessage = collections.namedtuple('_MasterMessage', ['sum', 'inv_std']) + + +class _SynchronizedBatchNorm(_BatchNorm): + def __init__(self, num_features, eps=1e-5, momentum=0.1, affine=True): + super(_SynchronizedBatchNorm, self).__init__(num_features, eps=eps, momentum=momentum, affine=affine) + + self._sync_master = SyncMaster(self._data_parallel_master) + + self._is_parallel = False + self._parallel_id = None + self._slave_pipe = None + + def forward(self, input): + # If it is not parallel computation or is in evaluation mode, use PyTorch's implementation. + if not (self._is_parallel and self.training): + return F.batch_norm( + input, self.running_mean, self.running_var, self.weight, self.bias, + self.training, self.momentum, self.eps) + + # Resize the input to (B, C, -1). + input_shape = input.size() + input = input.view(input.size(0), self.num_features, -1) + + # Compute the sum and square-sum. + sum_size = input.size(0) * input.size(2) + input_sum = _sum_ft(input) + input_ssum = _sum_ft(input ** 2) + + # Reduce-and-broadcast the statistics. + if self._parallel_id == 0: + mean, inv_std = self._sync_master.run_master(_ChildMessage(input_sum, input_ssum, sum_size)) + else: + mean, inv_std = self._slave_pipe.run_slave(_ChildMessage(input_sum, input_ssum, sum_size)) + + # Compute the output. + if self.affine: + # MJY:: Fuse the multiplication for speed. + output = (input - _unsqueeze_ft(mean)) * _unsqueeze_ft(inv_std * self.weight) + _unsqueeze_ft(self.bias) + else: + output = (input - _unsqueeze_ft(mean)) * _unsqueeze_ft(inv_std) + + # Reshape it. + return output.view(input_shape) + + def __data_parallel_replicate__(self, ctx, copy_id): + self._is_parallel = True + self._parallel_id = copy_id + + # parallel_id == 0 means master device. + if self._parallel_id == 0: + ctx.sync_master = self._sync_master + else: + self._slave_pipe = ctx.sync_master.register_slave(copy_id) + + def _data_parallel_master(self, intermediates): + """Reduce the sum and square-sum, compute the statistics, and broadcast it.""" + + # Always using same "device order" makes the ReduceAdd operation faster. + # Thanks to:: Tete Xiao (http://tetexiao.com/) + intermediates = sorted(intermediates, key=lambda i: i[1].sum.get_device()) + + to_reduce = [i[1][:2] for i in intermediates] + to_reduce = [j for i in to_reduce for j in i] # flatten + target_gpus = [i[1].sum.get_device() for i in intermediates] + + sum_size = sum([i[1].sum_size for i in intermediates]) + sum_, ssum = ReduceAddCoalesced.apply(target_gpus[0], 2, *to_reduce) + mean, inv_std = self._compute_mean_std(sum_, ssum, sum_size) + + broadcasted = Broadcast.apply(target_gpus, mean, inv_std) + + outputs = [] + for i, rec in enumerate(intermediates): + outputs.append((rec[0], _MasterMessage(*broadcasted[i*2:i*2+2]))) + + return outputs + + def _compute_mean_std(self, sum_, ssum, size): + """Compute the mean and standard-deviation with sum and square-sum. This method + also maintains the moving average on the master device.""" + assert size > 1, 'BatchNorm computes unbiased standard-deviation, which requires size > 1.' + mean = sum_ / size + sumvar = ssum - sum_ * mean + unbias_var = sumvar / (size - 1) + bias_var = sumvar / size + + self.running_mean = (1 - self.momentum) * self.running_mean + self.momentum * mean.data + self.running_var = (1 - self.momentum) * self.running_var + self.momentum * unbias_var.data + + return mean, bias_var.clamp(self.eps) ** -0.5 + + +class SynchronizedBatchNorm1d(_SynchronizedBatchNorm): + r"""Applies Synchronized Batch Normalization over a 2d or 3d input that is seen as a + mini-batch. + + .. math:: + + y = \frac{x - mean[x]}{ \sqrt{Var[x] + \epsilon}} * gamma + beta + + This module differs from the built-in PyTorch BatchNorm1d as the mean and + standard-deviation are reduced across all devices during training. + + For example, when one uses `nn.DataParallel` to wrap the network during + training, PyTorch's implementation normalize the tensor on each device using + the statistics only on that device, which accelerated the computation and + is also easy to implement, but the statistics might be inaccurate. + Instead, in this synchronized version, the statistics will be computed + over all training samples distributed on multiple devices. + + Note that, for one-GPU or CPU-only case, this module behaves exactly same + as the built-in PyTorch implementation. + + The mean and standard-deviation are calculated per-dimension over + the mini-batches and gamma and beta are learnable parameter vectors + of size C (where C is the input size). + + During training, this layer keeps a running estimate of its computed mean + and variance. The running sum is kept with a default momentum of 0.1. + + During evaluation, this running mean/variance is used for normalization. + + Because the BatchNorm is done over the `C` dimension, computing statistics + on `(N, L)` slices, it's common terminology to call this Temporal BatchNorm + + Args: + num_features: num_features from an expected input of size + `batch_size x num_features [x width]` + eps: a value added to the denominator for numerical stability. + Default: 1e-5 + momentum: the value used for the running_mean and running_var + computation. Default: 0.1 + affine: a boolean value that when set to ``True``, gives the layer learnable + affine parameters. Default: ``True`` + + Shape: + - Input: :math:`(N, C)` or :math:`(N, C, L)` + - Output: :math:`(N, C)` or :math:`(N, C, L)` (same shape as input) + + Examples: + >>> # With Learnable Parameters + >>> m = SynchronizedBatchNorm1d(100) + >>> # Without Learnable Parameters + >>> m = SynchronizedBatchNorm1d(100, affine=False) + >>> input = torch.autograd.Variable(torch.randn(20, 100)) + >>> output = m(input) + """ + + def _check_input_dim(self, input): + if input.dim() != 2 and input.dim() != 3: + raise ValueError('expected 2D or 3D input (got {}D input)' + .format(input.dim())) + super(SynchronizedBatchNorm1d, self)._check_input_dim(input) + + +class SynchronizedBatchNorm2d(_SynchronizedBatchNorm): + r"""Applies Batch Normalization over a 4d input that is seen as a mini-batch + of 3d inputs + + .. math:: + + y = \frac{x - mean[x]}{ \sqrt{Var[x] + \epsilon}} * gamma + beta + + This module differs from the built-in PyTorch BatchNorm2d as the mean and + standard-deviation are reduced across all devices during training. + + For example, when one uses `nn.DataParallel` to wrap the network during + training, PyTorch's implementation normalize the tensor on each device using + the statistics only on that device, which accelerated the computation and + is also easy to implement, but the statistics might be inaccurate. + Instead, in this synchronized version, the statistics will be computed + over all training samples distributed on multiple devices. + + Note that, for one-GPU or CPU-only case, this module behaves exactly same + as the built-in PyTorch implementation. + + The mean and standard-deviation are calculated per-dimension over + the mini-batches and gamma and beta are learnable parameter vectors + of size C (where C is the input size). + + During training, this layer keeps a running estimate of its computed mean + and variance. The running sum is kept with a default momentum of 0.1. + + During evaluation, this running mean/variance is used for normalization. + + Because the BatchNorm is done over the `C` dimension, computing statistics + on `(N, H, W)` slices, it's common terminology to call this Spatial BatchNorm + + Args: + num_features: num_features from an expected input of + size batch_size x num_features x height x width + eps: a value added to the denominator for numerical stability. + Default: 1e-5 + momentum: the value used for the running_mean and running_var + computation. Default: 0.1 + affine: a boolean value that when set to ``True``, gives the layer learnable + affine parameters. Default: ``True`` + + Shape: + - Input: :math:`(N, C, H, W)` + - Output: :math:`(N, C, H, W)` (same shape as input) + + Examples: + >>> # With Learnable Parameters + >>> m = SynchronizedBatchNorm2d(100) + >>> # Without Learnable Parameters + >>> m = SynchronizedBatchNorm2d(100, affine=False) + >>> input = torch.autograd.Variable(torch.randn(20, 100, 35, 45)) + >>> output = m(input) + """ + + def _check_input_dim(self, input): + if input.dim() != 4: + raise ValueError('expected 4D input (got {}D input)' + .format(input.dim())) + super(SynchronizedBatchNorm2d, self)._check_input_dim(input) + + +class SynchronizedBatchNorm3d(_SynchronizedBatchNorm): + r"""Applies Batch Normalization over a 5d input that is seen as a mini-batch + of 4d inputs + + .. math:: + + y = \frac{x - mean[x]}{ \sqrt{Var[x] + \epsilon}} * gamma + beta + + This module differs from the built-in PyTorch BatchNorm3d as the mean and + standard-deviation are reduced across all devices during training. + + For example, when one uses `nn.DataParallel` to wrap the network during + training, PyTorch's implementation normalize the tensor on each device using + the statistics only on that device, which accelerated the computation and + is also easy to implement, but the statistics might be inaccurate. + Instead, in this synchronized version, the statistics will be computed + over all training samples distributed on multiple devices. + + Note that, for one-GPU or CPU-only case, this module behaves exactly same + as the built-in PyTorch implementation. + + The mean and standard-deviation are calculated per-dimension over + the mini-batches and gamma and beta are learnable parameter vectors + of size C (where C is the input size). + + During training, this layer keeps a running estimate of its computed mean + and variance. The running sum is kept with a default momentum of 0.1. + + During evaluation, this running mean/variance is used for normalization. + + Because the BatchNorm is done over the `C` dimension, computing statistics + on `(N, D, H, W)` slices, it's common terminology to call this Volumetric BatchNorm + or Spatio-temporal BatchNorm + + Args: + num_features: num_features from an expected input of + size batch_size x num_features x depth x height x width + eps: a value added to the denominator for numerical stability. + Default: 1e-5 + momentum: the value used for the running_mean and running_var + computation. Default: 0.1 + affine: a boolean value that when set to ``True``, gives the layer learnable + affine parameters. Default: ``True`` + + Shape: + - Input: :math:`(N, C, D, H, W)` + - Output: :math:`(N, C, D, H, W)` (same shape as input) + + Examples: + >>> # With Learnable Parameters + >>> m = SynchronizedBatchNorm3d(100) + >>> # Without Learnable Parameters + >>> m = SynchronizedBatchNorm3d(100, affine=False) + >>> input = torch.autograd.Variable(torch.randn(20, 100, 35, 45, 10)) + >>> output = m(input) + """ + + def _check_input_dim(self, input): + if input.dim() != 5: + raise ValueError('expected 5D input (got {}D input)' + .format(input.dim())) + super(SynchronizedBatchNorm3d, self)._check_input_dim(input) diff --git a/src/facerender/sync_batchnorm/comm.py b/src/facerender/sync_batchnorm/comm.py new file mode 100644 index 0000000000000000000000000000000000000000..922f8c4a3adaa9b32fdcaef09583be03b0d7eb2b --- /dev/null +++ b/src/facerender/sync_batchnorm/comm.py @@ -0,0 +1,137 @@ +# -*- coding: utf-8 -*- +# File : comm.py +# Author : Jiayuan Mao +# Email : maojiayuan@gmail.com +# Date : 27/01/2018 +# +# This file is part of Synchronized-BatchNorm-PyTorch. +# https://github.com/vacancy/Synchronized-BatchNorm-PyTorch +# Distributed under MIT License. + +import queue +import collections +import threading + +__all__ = ['FutureResult', 'SlavePipe', 'SyncMaster'] + + +class FutureResult(object): + """A thread-safe future implementation. Used only as one-to-one pipe.""" + + def __init__(self): + self._result = None + self._lock = threading.Lock() + self._cond = threading.Condition(self._lock) + + def put(self, result): + with self._lock: + assert self._result is None, 'Previous result has\'t been fetched.' + self._result = result + self._cond.notify() + + def get(self): + with self._lock: + if self._result is None: + self._cond.wait() + + res = self._result + self._result = None + return res + + +_MasterRegistry = collections.namedtuple('MasterRegistry', ['result']) +_SlavePipeBase = collections.namedtuple('_SlavePipeBase', ['identifier', 'queue', 'result']) + + +class SlavePipe(_SlavePipeBase): + """Pipe for master-slave communication.""" + + def run_slave(self, msg): + self.queue.put((self.identifier, msg)) + ret = self.result.get() + self.queue.put(True) + return ret + + +class SyncMaster(object): + """An abstract `SyncMaster` object. + + - During the replication, as the data parallel will trigger an callback of each module, all slave devices should + call `register(id)` and obtain an `SlavePipe` to communicate with the master. + - During the forward pass, master device invokes `run_master`, all messages from slave devices will be collected, + and passed to a registered callback. + - After receiving the messages, the master device should gather the information and determine to message passed + back to each slave devices. + """ + + def __init__(self, master_callback): + """ + + Args: + master_callback: a callback to be invoked after having collected messages from slave devices. + """ + self._master_callback = master_callback + self._queue = queue.Queue() + self._registry = collections.OrderedDict() + self._activated = False + + def __getstate__(self): + return {'master_callback': self._master_callback} + + def __setstate__(self, state): + self.__init__(state['master_callback']) + + def register_slave(self, identifier): + """ + Register an slave device. + + Args: + identifier: an identifier, usually is the device id. + + Returns: a `SlavePipe` object which can be used to communicate with the master device. + + """ + if self._activated: + assert self._queue.empty(), 'Queue is not clean before next initialization.' + self._activated = False + self._registry.clear() + future = FutureResult() + self._registry[identifier] = _MasterRegistry(future) + return SlavePipe(identifier, self._queue, future) + + def run_master(self, master_msg): + """ + Main entry for the master device in each forward pass. + The messages were first collected from each devices (including the master device), and then + an callback will be invoked to compute the message to be sent back to each devices + (including the master device). + + Args: + master_msg: the message that the master want to send to itself. This will be placed as the first + message when calling `master_callback`. For detailed usage, see `_SynchronizedBatchNorm` for an example. + + Returns: the message to be sent back to the master device. + + """ + self._activated = True + + intermediates = [(0, master_msg)] + for i in range(self.nr_slaves): + intermediates.append(self._queue.get()) + + results = self._master_callback(intermediates) + assert results[0][0] == 0, 'The first result should belongs to the master.' + + for i, res in results: + if i == 0: + continue + self._registry[i].result.put(res) + + for i in range(self.nr_slaves): + assert self._queue.get() is True + + return results[0][1] + + @property + def nr_slaves(self): + return len(self._registry) diff --git a/src/facerender/sync_batchnorm/replicate.py b/src/facerender/sync_batchnorm/replicate.py new file mode 100644 index 0000000000000000000000000000000000000000..b71c7b8ed51a1d6c55b1f753bdd8d90bad79bd06 --- /dev/null +++ b/src/facerender/sync_batchnorm/replicate.py @@ -0,0 +1,94 @@ +# -*- coding: utf-8 -*- +# File : replicate.py +# Author : Jiayuan Mao +# Email : maojiayuan@gmail.com +# Date : 27/01/2018 +# +# This file is part of Synchronized-BatchNorm-PyTorch. +# https://github.com/vacancy/Synchronized-BatchNorm-PyTorch +# Distributed under MIT License. + +import functools + +from torch.nn.parallel.data_parallel import DataParallel + +__all__ = [ + 'CallbackContext', + 'execute_replication_callbacks', + 'DataParallelWithCallback', + 'patch_replication_callback' +] + + +class CallbackContext(object): + pass + + +def execute_replication_callbacks(modules): + """ + Execute an replication callback `__data_parallel_replicate__` on each module created by original replication. + + The callback will be invoked with arguments `__data_parallel_replicate__(ctx, copy_id)` + + Note that, as all modules are isomorphism, we assign each sub-module with a context + (shared among multiple copies of this module on different devices). + Through this context, different copies can share some information. + + We guarantee that the callback on the master copy (the first copy) will be called ahead of calling the callback + of any slave copies. + """ + master_copy = modules[0] + nr_modules = len(list(master_copy.modules())) + ctxs = [CallbackContext() for _ in range(nr_modules)] + + for i, module in enumerate(modules): + for j, m in enumerate(module.modules()): + if hasattr(m, '__data_parallel_replicate__'): + m.__data_parallel_replicate__(ctxs[j], i) + + +class DataParallelWithCallback(DataParallel): + """ + Data Parallel with a replication callback. + + An replication callback `__data_parallel_replicate__` of each module will be invoked after being created by + original `replicate` function. + The callback will be invoked with arguments `__data_parallel_replicate__(ctx, copy_id)` + + Examples: + > sync_bn = SynchronizedBatchNorm1d(10, eps=1e-5, affine=False) + > sync_bn = DataParallelWithCallback(sync_bn, device_ids=[0, 1]) + # sync_bn.__data_parallel_replicate__ will be invoked. + """ + + def replicate(self, module, device_ids): + modules = super(DataParallelWithCallback, self).replicate(module, device_ids) + execute_replication_callbacks(modules) + return modules + + +def patch_replication_callback(data_parallel): + """ + Monkey-patch an existing `DataParallel` object. Add the replication callback. + Useful when you have customized `DataParallel` implementation. + + Examples: + > sync_bn = SynchronizedBatchNorm1d(10, eps=1e-5, affine=False) + > sync_bn = DataParallel(sync_bn, device_ids=[0, 1]) + > patch_replication_callback(sync_bn) + # this is equivalent to + > sync_bn = SynchronizedBatchNorm1d(10, eps=1e-5, affine=False) + > sync_bn = DataParallelWithCallback(sync_bn, device_ids=[0, 1]) + """ + + assert isinstance(data_parallel, DataParallel) + + old_replicate = data_parallel.replicate + + @functools.wraps(old_replicate) + def new_replicate(module, device_ids): + modules = old_replicate(module, device_ids) + execute_replication_callbacks(modules) + return modules + + data_parallel.replicate = new_replicate diff --git a/src/facerender/sync_batchnorm/unittest.py b/src/facerender/sync_batchnorm/unittest.py new file mode 100644 index 0000000000000000000000000000000000000000..0675c022e4ba85d38d1f813490f6740150909524 --- /dev/null +++ b/src/facerender/sync_batchnorm/unittest.py @@ -0,0 +1,29 @@ +# -*- coding: utf-8 -*- +# File : unittest.py +# Author : Jiayuan Mao +# Email : maojiayuan@gmail.com +# Date : 27/01/2018 +# +# This file is part of Synchronized-BatchNorm-PyTorch. +# https://github.com/vacancy/Synchronized-BatchNorm-PyTorch +# Distributed under MIT License. + +import unittest + +import numpy as np +from torch.autograd import Variable + + +def as_numpy(v): + if isinstance(v, Variable): + v = v.data + return v.cpu().numpy() + + +class TorchTestCase(unittest.TestCase): + def assertTensorClose(self, a, b, atol=1e-3, rtol=1e-3): + npa, npb = as_numpy(a), as_numpy(b) + self.assertTrue( + np.allclose(npa, npb, atol=atol), + 'Tensor close check failed\n{}\n{}\nadiff={}, rdiff={}'.format(a, b, np.abs(npa - npb).max(), np.abs((npa - npb) / np.fmax(npa, 1e-5)).max()) + ) diff --git a/src/flagged/log.csv b/src/flagged/log.csv new file mode 100644 index 0000000000000000000000000000000000000000..f571b97dbc665827bf79839c20ecdfb17aef18df --- /dev/null +++ b/src/flagged/log.csv @@ -0,0 +1,11 @@ +text,output,flag,username,timestamp +hello,/data1/dengkaijun/workdirs/Digital-Human/src/flagged/output/tmpo637ce1j0fp0pquk.wav,,,2023-07-13 16:27:51.787481 +hello,/data1/dengkaijun/workdirs/Digital-Human/src/flagged/output/tmpo637ce1jd5uwg9n4.wav,,,2023-07-13 16:28:05.379477 +hello,/data1/dengkaijun/workdirs/Digital-Human/src/flagged/output/tmpo637ce1jyle9jjlm.wav,,,2023-07-13 16:28:05.898269 +hello,/data1/dengkaijun/workdirs/Digital-Human/src/flagged/output/tmpo637ce1jhhf3fjqe.wav,,,2023-07-13 16:28:06.051974 +hello,/data1/dengkaijun/workdirs/Digital-Human/src/flagged/output/tmpo637ce1jf0_w0vtj.wav,,,2023-07-13 16:28:06.163388 +hello,/data1/dengkaijun/workdirs/Digital-Human/src/flagged/output/tmpo637ce1ja0w7yqmc.wav,,,2023-07-13 16:28:06.378416 +hello,/data1/dengkaijun/workdirs/Digital-Human/src/flagged/output/tmpo637ce1jrkt2shbg.wav,,,2023-07-13 16:28:06.521719 +近日，苹果公司起诉高通公司，状告其未按照相关合约进行合作，高通方面尚未回应。这句话中“其”指的是谁？,,,,2023-07-13 16:35:24.119913 +近日，苹果公司起诉高通公司，状告其未按照相关合约进行合作，高通方面尚未回应。这句话中“其”指的是谁？,,,,2023-07-13 16:35:24.183524 +,,,,2023-07-14 16:00:42.509609 diff --git a/src/generate_batch.py b/src/generate_batch.py new file mode 100644 index 0000000000000000000000000000000000000000..7b4c419d36b2bc9b9a7130897357ad5f4c9d9b04 --- /dev/null +++ b/src/generate_batch.py @@ -0,0 +1,119 @@ +import os + +# from tqdm import tqdm +import torch +import numpy as np +import random +import scipy.io as scio +import src.utils.audio as audio + +def crop_pad_audio(wav, audio_length): + if len(wav) > audio_length: + wav = wav[:audio_length] + elif len(wav) < audio_length: + wav = np.pad(wav, [0, audio_length - len(wav)], mode='constant', constant_values=0) + return wav + +def parse_audio_length(audio_length, sr, fps): + bit_per_frames = sr / fps + + num_frames = int(audio_length / bit_per_frames) + audio_length = int(num_frames * bit_per_frames) + + return audio_length, num_frames + +def generate_blink_seq(num_frames): + ratio = np.zeros((num_frames,1)) + frame_id = 0 + while frame_id in range(num_frames): + start = 80 + if frame_id+start+9<=num_frames - 1: + ratio[frame_id+start:frame_id+start+9, 0] = [0.5,0.6,0.7,0.9,1, 0.9, 0.7,0.6,0.5] + frame_id = frame_id+start+9 + else: + break + return ratio + +def generate_blink_seq_randomly(num_frames): + ratio = np.zeros((num_frames,1)) + if num_frames<=20: + return ratio + frame_id = 0 + while frame_id in range(num_frames): + start = random.choice(range(min(10,num_frames), min(int(num_frames/2), 70))) + if frame_id+start+5<=num_frames - 1: + ratio[frame_id+start:frame_id+start+5, 0] = [0.5, 0.9, 1.0, 0.9, 0.5] + frame_id = frame_id+start+5 + else: + break + return ratio + +def get_data(first_coeff_path, audio_path, device, ref_eyeblink_coeff_path, still=False, idlemode=False, length_of_audio=False, use_blink=True, fps=25): + + syncnet_mel_step_size = 16 + + pic_name = os.path.splitext(os.path.split(first_coeff_path)[-1])[0] + audio_name = os.path.splitext(os.path.split(audio_path)[-1])[0] + + + # if idlemode: + # num_frames = int(length_of_audio * 25) + # indiv_mels = np.zeros((num_frames, 80, 16)) + # else: + wav = audio.load_wav(audio_path, 16000) + wav_length, num_frames = parse_audio_length(len(wav), 16000, fps) + wav = crop_pad_audio(wav, wav_length) + orig_mel = audio.melspectrogram(wav).T + spec = orig_mel.copy() # nframes 80 + indiv_mels = [] + + for i in range(num_frames): + start_frame_num = i-2 + start_idx = int(80. * (start_frame_num / float(fps))) + end_idx = start_idx + syncnet_mel_step_size + seq = list(range(start_idx, end_idx)) + seq = [ min(max(item, 0), orig_mel.shape[0]-1) for item in seq ] + m = spec[seq, :] + indiv_mels.append(m.T) + indiv_mels = np.asarray(indiv_mels) # T 80 16 + + ratio = generate_blink_seq_randomly(num_frames) # T + source_semantics_path = first_coeff_path + source_semantics_dict = scio.loadmat(source_semantics_path) + ref_coeff = source_semantics_dict['coeff_3dmm'][:1,:70] #1 70 + ref_coeff = np.repeat(ref_coeff, num_frames, axis=0) + + # if ref_eyeblink_coeff_path is not None: + # ratio[:num_frames] = 0 + # refeyeblink_coeff_dict = scio.loadmat(ref_eyeblink_coeff_path) + # refeyeblink_coeff = refeyeblink_coeff_dict['coeff_3dmm'][:,:64] + # refeyeblink_num_frames = refeyeblink_coeff.shape[0] + # if refeyeblink_num_frames frame_num: + new_degree_list = new_degree_list[:frame_num] + elif len(new_degree_list) < frame_num: + for _ in range(frame_num-len(new_degree_list)): + new_degree_list.append(new_degree_list[-1]) + print(len(new_degree_list)) + print(frame_num) + + remainder = frame_num%batch_size + if remainder!=0: + for _ in range(batch_size-remainder): + new_degree_list.append(new_degree_list[-1]) + new_degree_np = np.array(new_degree_list).reshape(batch_size, -1) + return new_degree_np + diff --git a/src/hparams.py b/src/hparams.py new file mode 100644 index 0000000000000000000000000000000000000000..e219934025c1d98b5004fdaa794d0f39acbbb149 --- /dev/null +++ b/src/hparams.py @@ -0,0 +1,67 @@ +class HParams: + def __init__(self, **kwargs): + self.data = {} + + for key, value in kwargs.items(): + self.data[key] = value + + def __getattr__(self, key): + if key not in self.data: + raise AttributeError("'HParams' object has no attribute %s" % key) + return self.data[key] + + def set_hparam(self, key, value): + self.data[key] = value + + +# Default hyperparameters +hparams = HParams( + num_mels=80, # Number of mel-spectrogram channels and local conditioning dimensionality + # network + rescale=True, # Whether to rescale audio prior to preprocessing + rescaling_max=0.9, # Rescaling value + + # Use LWS (https://github.com/Jonathan-LeRoux/lws) for STFT and phase reconstruction + # It"s preferred to set True to use with https://github.com/r9y9/wavenet_vocoder + # Does not work if n_ffit is not multiple of hop_size!! + use_lws=False, + + n_fft=800, # Extra window size is filled with 0 paddings to match this parameter + hop_size=200, # For 16000Hz, 200 = 12.5 ms (0.0125 * sample_rate) + win_size=800, # For 16000Hz, 800 = 50 ms (If None, win_size = n_fft) (0.05 * sample_rate) + sample_rate=16000, # 16000Hz (corresponding to librispeech) (sox --i ) + + frame_shift_ms=None, # Can replace hop_size parameter. (Recommended: 12.5) + + # Mel and Linear spectrograms normalization/scaling and clipping + signal_normalization=True, + # Whether to normalize mel spectrograms to some predefined range (following below parameters) + allow_clipping_in_normalization=True, # Only relevant if mel_normalization = True + symmetric_mels=True, + # Whether to scale the data to be symmetric around 0. (Also multiplies the output range by 2, + # faster and cleaner convergence) + max_abs_value=4., + # max absolute value of data. If symmetric, data will be [-max, max] else [0, max] (Must not + # be too big to avoid gradient explosion, + # not too small for fast convergence) + # Contribution by @begeekmyfriend + # Spectrogram Pre-Emphasis (Lfilter: Reduce spectrogram noise and helps model certitude + # levels. Also allows for better G&L phase reconstruction) + preemphasize=True, # whether to apply filter + preemphasis=0.97, # filter coefficient. + + # Limits + min_level_db=-100, + ref_level_db=20, + fmin=55, + # Set this to 55 if your speaker is male! if female, 95 should help taking off noise. (To + # test depending on dataset. Pitch info: male~[65, 260], female~[100, 525]) + fmax=7600, # To be increased/reduced depending on data. + +) + + +def hparams_debug_string(): + values = hparams.values() + hp = [" %s: %s" % (name, values[name]) for name in sorted(values) if name != "sentences"] + return "Hyperparameters:\n" + "\n".join(hp) diff --git a/src/models/__init__.py b/src/models/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..4374370494b65f10b76c70a2d4f731c238cfa54c --- /dev/null +++ b/src/models/__init__.py @@ -0,0 +1,2 @@ +from .wav2lip import Wav2Lip, Wav2Lip_disc_qual +from .syncnet import SyncNet_color \ No newline at end of file diff --git a/src/models/conv.py b/src/models/conv.py new file mode 100644 index 0000000000000000000000000000000000000000..ed83da00cb199e027ef217fd360352d91a7891ff --- /dev/null +++ b/src/models/conv.py @@ -0,0 +1,44 @@ +import torch +from torch import nn +from torch.nn import functional as F + +class Conv2d(nn.Module): + def __init__(self, cin, cout, kernel_size, stride, padding, residual=False, *args, **kwargs): + super().__init__(*args, **kwargs) + self.conv_block = nn.Sequential( + nn.Conv2d(cin, cout, kernel_size, stride, padding), + nn.BatchNorm2d(cout) + ) + self.act = nn.ReLU() + self.residual = residual + + def forward(self, x): + out = self.conv_block(x) + if self.residual: + out += x + return self.act(out) + +class nonorm_Conv2d(nn.Module): + def __init__(self, cin, cout, kernel_size, stride, padding, residual=False, *args, **kwargs): + super().__init__(*args, **kwargs) + self.conv_block = nn.Sequential( + nn.Conv2d(cin, cout, kernel_size, stride, padding), + ) + self.act = nn.LeakyReLU(0.01, inplace=True) + + def forward(self, x): + out = self.conv_block(x) + return self.act(out) + +class Conv2dTranspose(nn.Module): + def __init__(self, cin, cout, kernel_size, stride, padding, output_padding=0, *args, **kwargs): + super().__init__(*args, **kwargs) + self.conv_block = nn.Sequential( + nn.ConvTranspose2d(cin, cout, kernel_size, stride, padding, output_padding), + nn.BatchNorm2d(cout) + ) + self.act = nn.ReLU() + + def forward(self, x): + out = self.conv_block(x) + return self.act(out) diff --git a/src/models/syncnet.py b/src/models/syncnet.py new file mode 100644 index 0000000000000000000000000000000000000000..e773cdca675236745a379a776b7c07d7d353f590 --- /dev/null +++ b/src/models/syncnet.py @@ -0,0 +1,66 @@ +import torch +from torch import nn +from torch.nn import functional as F + +from .conv import Conv2d + +class SyncNet_color(nn.Module): + def __init__(self): + super(SyncNet_color, self).__init__() + + self.face_encoder = nn.Sequential( + Conv2d(15, 32, kernel_size=(7, 7), stride=1, padding=3), + + Conv2d(32, 64, kernel_size=5, stride=(1, 2), padding=1), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(64, 128, kernel_size=3, stride=2, padding=1), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(128, 256, kernel_size=3, stride=2, padding=1), + Conv2d(256, 256, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(256, 256, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(256, 512, kernel_size=3, stride=2, padding=1), + Conv2d(512, 512, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(512, 512, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(512, 512, kernel_size=3, stride=2, padding=1), + Conv2d(512, 512, kernel_size=3, stride=1, padding=0), + Conv2d(512, 512, kernel_size=1, stride=1, padding=0),) + + self.audio_encoder = nn.Sequential( + Conv2d(1, 32, kernel_size=3, stride=1, padding=1), + Conv2d(32, 32, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(32, 32, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(32, 64, kernel_size=3, stride=(3, 1), padding=1), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(64, 128, kernel_size=3, stride=3, padding=1), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(128, 256, kernel_size=3, stride=(3, 2), padding=1), + Conv2d(256, 256, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(256, 256, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(256, 512, kernel_size=3, stride=1, padding=0), + Conv2d(512, 512, kernel_size=1, stride=1, padding=0),) + + def forward(self, audio_sequences, face_sequences): # audio_sequences := (B, dim, T) + face_embedding = self.face_encoder(face_sequences) + audio_embedding = self.audio_encoder(audio_sequences) + + audio_embedding = audio_embedding.view(audio_embedding.size(0), -1) + face_embedding = face_embedding.view(face_embedding.size(0), -1) + + audio_embedding = F.normalize(audio_embedding, p=2, dim=1) + face_embedding = F.normalize(face_embedding, p=2, dim=1) + + + return audio_embedding, face_embedding diff --git a/src/models/wav2lip.py b/src/models/wav2lip.py new file mode 100644 index 0000000000000000000000000000000000000000..ae5d6919169ec497f0f0815184f5db8ba9108fbd --- /dev/null +++ b/src/models/wav2lip.py @@ -0,0 +1,184 @@ +import torch +from torch import nn +from torch.nn import functional as F +import math + +from .conv import Conv2dTranspose, Conv2d, nonorm_Conv2d + +class Wav2Lip(nn.Module): + def __init__(self): + super(Wav2Lip, self).__init__() + + self.face_encoder_blocks = nn.ModuleList([ + nn.Sequential(Conv2d(6, 16, kernel_size=7, stride=1, padding=3)), # 96,96 + + nn.Sequential(Conv2d(16, 32, kernel_size=3, stride=2, padding=1), # 48,48 + Conv2d(32, 32, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(32, 32, kernel_size=3, stride=1, padding=1, residual=True)), + + nn.Sequential(Conv2d(32, 64, kernel_size=3, stride=2, padding=1), # 24,24 + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True)), + + nn.Sequential(Conv2d(64, 128, kernel_size=3, stride=2, padding=1), # 12,12 + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True)), + + nn.Sequential(Conv2d(128, 256, kernel_size=3, stride=2, padding=1), # 6,6 + Conv2d(256, 256, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(256, 256, kernel_size=3, stride=1, padding=1, residual=True)), + + nn.Sequential(Conv2d(256, 512, kernel_size=3, stride=2, padding=1), # 3,3 + Conv2d(512, 512, kernel_size=3, stride=1, padding=1, residual=True),), + + nn.Sequential(Conv2d(512, 512, kernel_size=3, stride=1, padding=0), # 1, 1 + Conv2d(512, 512, kernel_size=1, stride=1, padding=0)),]) + + self.audio_encoder = nn.Sequential( + Conv2d(1, 32, kernel_size=3, stride=1, padding=1), + Conv2d(32, 32, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(32, 32, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(32, 64, kernel_size=3, stride=(3, 1), padding=1), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(64, 128, kernel_size=3, stride=3, padding=1), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(128, 256, kernel_size=3, stride=(3, 2), padding=1), + Conv2d(256, 256, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(256, 512, kernel_size=3, stride=1, padding=0), + Conv2d(512, 512, kernel_size=1, stride=1, padding=0),) + + self.face_decoder_blocks = nn.ModuleList([ + nn.Sequential(Conv2d(512, 512, kernel_size=1, stride=1, padding=0),), + + nn.Sequential(Conv2dTranspose(1024, 512, kernel_size=3, stride=1, padding=0), # 3,3 + Conv2d(512, 512, kernel_size=3, stride=1, padding=1, residual=True),), + + nn.Sequential(Conv2dTranspose(1024, 512, kernel_size=3, stride=2, padding=1, output_padding=1), + Conv2d(512, 512, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(512, 512, kernel_size=3, stride=1, padding=1, residual=True),), # 6, 6 + + nn.Sequential(Conv2dTranspose(768, 384, kernel_size=3, stride=2, padding=1, output_padding=1), + Conv2d(384, 384, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(384, 384, kernel_size=3, stride=1, padding=1, residual=True),), # 12, 12 + + nn.Sequential(Conv2dTranspose(512, 256, kernel_size=3, stride=2, padding=1, output_padding=1), + Conv2d(256, 256, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(256, 256, kernel_size=3, stride=1, padding=1, residual=True),), # 24, 24 + + nn.Sequential(Conv2dTranspose(320, 128, kernel_size=3, stride=2, padding=1, output_padding=1), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True),), # 48, 48 + + nn.Sequential(Conv2dTranspose(160, 64, kernel_size=3, stride=2, padding=1, output_padding=1), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True),),]) # 96,96 + + self.output_block = nn.Sequential(Conv2d(80, 32, kernel_size=3, stride=1, padding=1), + nn.Conv2d(32, 3, kernel_size=1, stride=1, padding=0), + nn.Sigmoid()) + + def forward(self, audio_sequences, face_sequences): + # audio_sequences = (B, T, 1, 80, 16) + B = audio_sequences.size(0) + + input_dim_size = len(face_sequences.size()) + if input_dim_size > 4: + audio_sequences = torch.cat([audio_sequences[:, i] for i in range(audio_sequences.size(1))], dim=0) + face_sequences = torch.cat([face_sequences[:, :, i] for i in range(face_sequences.size(2))], dim=0) + + audio_embedding = self.audio_encoder(audio_sequences) # B, 512, 1, 1 + + feats = [] + x = face_sequences + for f in self.face_encoder_blocks: + x = f(x) + feats.append(x) + + x = audio_embedding + for f in self.face_decoder_blocks: + x = f(x) + try: + x = torch.cat((x, feats[-1]), dim=1) + except Exception as e: + print(x.size()) + print(feats[-1].size()) + raise e + + feats.pop() + + x = self.output_block(x) + + if input_dim_size > 4: + x = torch.split(x, B, dim=0) # [(B, C, H, W)] + outputs = torch.stack(x, dim=2) # (B, C, T, H, W) + + else: + outputs = x + + return outputs + +class Wav2Lip_disc_qual(nn.Module): + def __init__(self): + super(Wav2Lip_disc_qual, self).__init__() + + self.face_encoder_blocks = nn.ModuleList([ + nn.Sequential(nonorm_Conv2d(3, 32, kernel_size=7, stride=1, padding=3)), # 48,96 + + nn.Sequential(nonorm_Conv2d(32, 64, kernel_size=5, stride=(1, 2), padding=2), # 48,48 + nonorm_Conv2d(64, 64, kernel_size=5, stride=1, padding=2)), + + nn.Sequential(nonorm_Conv2d(64, 128, kernel_size=5, stride=2, padding=2), # 24,24 + nonorm_Conv2d(128, 128, kernel_size=5, stride=1, padding=2)), + + nn.Sequential(nonorm_Conv2d(128, 256, kernel_size=5, stride=2, padding=2), # 12,12 + nonorm_Conv2d(256, 256, kernel_size=5, stride=1, padding=2)), + + nn.Sequential(nonorm_Conv2d(256, 512, kernel_size=3, stride=2, padding=1), # 6,6 + nonorm_Conv2d(512, 512, kernel_size=3, stride=1, padding=1)), + + nn.Sequential(nonorm_Conv2d(512, 512, kernel_size=3, stride=2, padding=1), # 3,3 + nonorm_Conv2d(512, 512, kernel_size=3, stride=1, padding=1),), + + nn.Sequential(nonorm_Conv2d(512, 512, kernel_size=3, stride=1, padding=0), # 1, 1 + nonorm_Conv2d(512, 512, kernel_size=1, stride=1, padding=0)),]) + + self.binary_pred = nn.Sequential(nn.Conv2d(512, 1, kernel_size=1, stride=1, padding=0), nn.Sigmoid()) + self.label_noise = .0 + + def get_lower_half(self, face_sequences): + return face_sequences[:, :, face_sequences.size(2)//2:] + + def to_2d(self, face_sequences): + B = face_sequences.size(0) + face_sequences = torch.cat([face_sequences[:, :, i] for i in range(face_sequences.size(2))], dim=0) + return face_sequences + + def perceptual_forward(self, false_face_sequences): + false_face_sequences = self.to_2d(false_face_sequences) + false_face_sequences = self.get_lower_half(false_face_sequences) + + false_feats = false_face_sequences + for f in self.face_encoder_blocks: + false_feats = f(false_feats) + + false_pred_loss = F.binary_cross_entropy(self.binary_pred(false_feats).view(len(false_feats), -1), + torch.ones((len(false_feats), 1)).cuda()) + + return false_pred_loss + + def forward(self, face_sequences): + face_sequences = self.to_2d(face_sequences) + face_sequences = self.get_lower_half(face_sequences) + + x = face_sequences + for f in self.face_encoder_blocks: + x = f(x) + + return self.binary_pred(x).view(len(x), -1) diff --git a/src/modelsv2/__init__.py b/src/modelsv2/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..9f185e61dffd9c3101ba79e9416ee1e2cf7c95e7 --- /dev/null +++ b/src/modelsv2/__init__.py @@ -0,0 +1,2 @@ +from .wav2lip_v2 import Wav2Lip, Wav2Lip_disc_qual +from .syncnet import SyncNet_color \ No newline at end of file diff --git a/src/modelsv2/conv.py b/src/modelsv2/conv.py new file mode 100644 index 0000000000000000000000000000000000000000..ed83da00cb199e027ef217fd360352d91a7891ff --- /dev/null +++ b/src/modelsv2/conv.py @@ -0,0 +1,44 @@ +import torch +from torch import nn +from torch.nn import functional as F + +class Conv2d(nn.Module): + def __init__(self, cin, cout, kernel_size, stride, padding, residual=False, *args, **kwargs): + super().__init__(*args, **kwargs) + self.conv_block = nn.Sequential( + nn.Conv2d(cin, cout, kernel_size, stride, padding), + nn.BatchNorm2d(cout) + ) + self.act = nn.ReLU() + self.residual = residual + + def forward(self, x): + out = self.conv_block(x) + if self.residual: + out += x + return self.act(out) + +class nonorm_Conv2d(nn.Module): + def __init__(self, cin, cout, kernel_size, stride, padding, residual=False, *args, **kwargs): + super().__init__(*args, **kwargs) + self.conv_block = nn.Sequential( + nn.Conv2d(cin, cout, kernel_size, stride, padding), + ) + self.act = nn.LeakyReLU(0.01, inplace=True) + + def forward(self, x): + out = self.conv_block(x) + return self.act(out) + +class Conv2dTranspose(nn.Module): + def __init__(self, cin, cout, kernel_size, stride, padding, output_padding=0, *args, **kwargs): + super().__init__(*args, **kwargs) + self.conv_block = nn.Sequential( + nn.ConvTranspose2d(cin, cout, kernel_size, stride, padding, output_padding), + nn.BatchNorm2d(cout) + ) + self.act = nn.ReLU() + + def forward(self, x): + out = self.conv_block(x) + return self.act(out) diff --git a/src/modelsv2/syncnet.py b/src/modelsv2/syncnet.py new file mode 100644 index 0000000000000000000000000000000000000000..15ac67239048e1fb345ca74a48cd2d550a43ce46 --- /dev/null +++ b/src/modelsv2/syncnet.py @@ -0,0 +1,66 @@ +import torch +from torch import nn +from torch.nn import functional as F +import pdb +from .conv import Conv2d + +class SyncNet_color(nn.Module): + def __init__(self): + super(SyncNet_color, self).__init__() + + self.face_encoder = nn.Sequential( + Conv2d(15, 32, kernel_size=(7, 7), stride=1, padding=3), + + Conv2d(32, 64, kernel_size=5, stride=(1, 2), padding=1), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(64, 128, kernel_size=3, stride=2, padding=1), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(128, 256, kernel_size=3, stride=2, padding=1), + Conv2d(256, 256, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(256, 256, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(256, 512, kernel_size=3, stride=2, padding=1), + Conv2d(512, 512, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(512, 512, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(512, 512, kernel_size=3, stride=2, padding=1), + Conv2d(512, 512, kernel_size=3, stride=1, padding=0), + Conv2d(512, 512, kernel_size=1, stride=1, padding=0),) + + self.audio_encoder = nn.Sequential( + Conv2d(1, 32, kernel_size=3, stride=1, padding=1), + Conv2d(32, 32, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(32, 32, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(32, 64, kernel_size=3, stride=(3, 1), padding=1), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(64, 128, kernel_size=3, stride=3, padding=1), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(128, 256, kernel_size=3, stride=(3, 2), padding=1), + Conv2d(256, 256, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(256, 256, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(256, 512, kernel_size=3, stride=1, padding=0), + Conv2d(512, 512, kernel_size=1, stride=1, padding=0),) + + def forward(self, audio_sequences, face_sequences): # audio_sequences := (B, dim, T) + face_embedding = self.face_encoder(face_sequences) + audio_embedding = self.audio_encoder(audio_sequences) + + audio_embedding = audio_embedding.view(audio_embedding.size(0), -1)#[4, 512] + face_embedding = face_embedding.view(face_embedding.size(0), -1) #[4, 512] + + audio_embedding = F.normalize(audio_embedding, p=2, dim=1) #按照宽度方向进行l2归一化 + face_embedding = F.normalize(face_embedding, p=2, dim=1) + + + return audio_embedding, face_embedding diff --git a/src/modelsv2/wav2lip_v2.py b/src/modelsv2/wav2lip_v2.py new file mode 100644 index 0000000000000000000000000000000000000000..297a183b69d5cdca5e6db68c304c397a448531cf --- /dev/null +++ b/src/modelsv2/wav2lip_v2.py @@ -0,0 +1,223 @@ +import torch +from torch import nn +from torch.nn import functional as F +import pdb +from .conv import Conv2dTranspose, Conv2d, nonorm_Conv2d + + +class Wav2Lip(nn.Module): + def __init__(self): + super(Wav2Lip, self).__init__() + + self.face_encoder_blocks = nn.ModuleList([ + nn.Sequential(Conv2d(6, 16, kernel_size=7, stride=1, padding=3)), + + nn.Sequential(Conv2d(16, 32, kernel_size=3, stride=2, padding=1), + Conv2d(32, 32, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(32, 32, kernel_size=3, stride=1, padding=1, residual=True)), + + nn.Sequential(Conv2d(32, 64, kernel_size=3, stride=2, padding=1), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True)), + + nn.Sequential(Conv2d(64, 128, kernel_size=3, stride=2, padding=1), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True)), + + nn.Sequential(Conv2d(128, 256, kernel_size=3, stride=2, padding=1), + Conv2d(256, 256, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(256, 256, kernel_size=3, stride=1, padding=1, residual=True)), + + nn.Sequential(Conv2d(256, 512, kernel_size=3, stride=2, padding=1), + Conv2d(512, 512, kernel_size=3, stride=1, padding=1, residual=True), ), + + nn.Sequential(Conv2d(512, 512, kernel_size=3, stride=2, padding=1), + Conv2d(512, 512, kernel_size=3, stride=1, padding=1, residual=True), ), + + nn.Sequential(Conv2d(512, 512, kernel_size=4, stride=1, padding=0), + Conv2d(512, 512, kernel_size=1, stride=1, padding=0)), ]) + + self.audio_encoder = nn.Sequential( + Conv2d(1, 32, kernel_size=3, stride=1, padding=1), + Conv2d(32, 32, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(32, 32, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(32, 64, kernel_size=3, stride=(3, 1), padding=1), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(64, 128, kernel_size=3, stride=3, padding=1), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(128, 256, kernel_size=3, stride=(3, 2), padding=1), + Conv2d(256, 256, kernel_size=3, stride=1, padding=1, residual=True), + + Conv2d(256, 512, kernel_size=3, stride=1, padding=0), + Conv2d(512, 512, kernel_size=1, stride=1, padding=0), ) + + self.face_decoder_blocks = nn.ModuleList([ + nn.Sequential(Conv2d(512, 512, kernel_size=1, stride=1, padding=0), ), + + nn.Sequential(Conv2dTranspose(1024, 512, kernel_size=4, stride=1, padding=0), + Conv2d(512, 512, kernel_size=3, stride=1, padding=1, residual=True), ), + + nn.Sequential(Conv2dTranspose(1024, 512, kernel_size=3, stride=2, padding=1, output_padding=1), + Conv2d(512, 512, kernel_size=3, stride=1, padding=1, residual=True), ), + + nn.Sequential(Conv2dTranspose(1024, 512, kernel_size=3, stride=2, padding=1, output_padding=1), + Conv2d(512, 512, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(512, 512, kernel_size=3, stride=1, padding=1, residual=True), ), + + nn.Sequential(Conv2dTranspose(768, 384, kernel_size=3, stride=2, padding=1, output_padding=1), + Conv2d(384, 384, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(384, 384, kernel_size=3, stride=1, padding=1, residual=True), ), + + nn.Sequential(Conv2dTranspose(512, 256, kernel_size=3, stride=2, padding=1, output_padding=1), + Conv2d(256, 256, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(256, 256, kernel_size=3, stride=1, padding=1, residual=True), ), + + nn.Sequential(Conv2dTranspose(320, 128, kernel_size=3, stride=2, padding=1, output_padding=1), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(128, 128, kernel_size=3, stride=1, padding=1, residual=True), ), + + nn.Sequential(Conv2dTranspose(160, 64, kernel_size=3, stride=2, padding=1, output_padding=1), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True), + Conv2d(64, 64, kernel_size=3, stride=1, padding=1, residual=True), ), ]) + + self.output_block = nn.Sequential(Conv2d(80, 32, kernel_size=3, stride=1, padding=1), + nn.Conv2d(32, 3, kernel_size=1, stride=1, padding=0), + nn.Sigmoid()) + + def audio_forward(self, audio_sequences, a_alpha=1.): + audio_embedding = self.audio_encoder(audio_sequences) # B, 512, 1, 1 + if a_alpha != 1.: + audio_embedding *= a_alpha + return audio_embedding + + def inference(self, audio_embedding, face_sequences): + feats = [] + x = face_sequences + for f in self.face_encoder_blocks: + x = f(x) + feats.append(x) + + x = audio_embedding + for f in self.face_decoder_blocks: + x = f(x) + try: + x = torch.cat((x, feats[-1]), dim=1) + except Exception as e: + print(x.size()) + print(feats[-1].size()) + raise e + + feats.pop() + + x = self.output_block(x) + outputs = x + + return outputs + + def forward(self, audio_sequences, face_sequences, a_alpha=1.): + # audio_sequences = (B, T, 1, 80, 16) + B = audio_sequences.size(0) + + input_dim_size = len(face_sequences.size()) + if input_dim_size > 4: + audio_sequences = torch.cat([audio_sequences[:, i] for i in range(audio_sequences.size(1))], dim=0)#[bz, 5, 1, 80, 16]->[bz*5, 1, 80, 16] + face_sequences = torch.cat([face_sequences[:, :, i] for i in range(face_sequences.size(2))], dim=0)#[bz, 6, 5, 256, 256]->[bz*5, 6, 256, 256] + + audio_embedding = self.audio_encoder(audio_sequences) # [bz*5, 1, 80, 16]->[bz*5, 512, 1, 1] + if a_alpha != 1.: + audio_embedding *= a_alpha #放大音频强度 + + feats = [] + x = face_sequences + for f in self.face_encoder_blocks: + x = f(x) + feats.append(x) + + x = audio_embedding + for f in self.face_decoder_blocks: + x = f(x) + try: + x = torch.cat((x, feats[-1]), dim=1) + except Exception as e: + print(x.size()) + print(feats[-1].size()) + raise e + + feats.pop() + + x = self.output_block(x) #[bz*5, 80, 256, 256]->[bz*5, 3, 256, 256] + + if input_dim_size > 4: #[bz*5, 3, 256, 256]->[B, 3, 5, 256, 256] + x = torch.split(x, B, dim=0) + outputs = torch.stack(x, dim=2) + + else: + outputs = x + + return outputs + + +class Wav2Lip_disc_qual(nn.Module): + def __init__(self): + super(Wav2Lip_disc_qual, self).__init__() + + self.face_encoder_blocks = nn.ModuleList([ + nn.Sequential(nonorm_Conv2d(3, 32, kernel_size=7, stride=1, padding=3)), + + nn.Sequential(nonorm_Conv2d(32, 64, kernel_size=5, stride=(1, 2), padding=2), + nonorm_Conv2d(64, 64, kernel_size=5, stride=1, padding=2)), + + nn.Sequential(nonorm_Conv2d(64, 128, kernel_size=5, stride=2, padding=2), + nonorm_Conv2d(128, 128, kernel_size=5, stride=1, padding=2)), + + nn.Sequential(nonorm_Conv2d(128, 256, kernel_size=5, stride=2, padding=2), + nonorm_Conv2d(256, 256, kernel_size=5, stride=1, padding=2)), + + nn.Sequential(nonorm_Conv2d(256, 512, kernel_size=3, stride=2, padding=1), + nonorm_Conv2d(512, 512, kernel_size=3, stride=1, padding=1)), + + nn.Sequential(nonorm_Conv2d(512, 512, kernel_size=3, stride=2, padding=1), + nonorm_Conv2d(512, 512, kernel_size=3, stride=1, padding=1), ), + + nn.Sequential(nonorm_Conv2d(512, 512, kernel_size=3, stride=2, padding=1), + nonorm_Conv2d(512, 512, kernel_size=3, stride=1, padding=1), ), + + nn.Sequential(nonorm_Conv2d(512, 512, kernel_size=4, stride=1, padding=0), + nonorm_Conv2d(512, 512, kernel_size=1, stride=1, padding=0)), ]) + + self.binary_pred = nn.Sequential(nn.Conv2d(512, 1, kernel_size=1, stride=1, padding=0), nn.Sigmoid()) + self.label_noise = .0 + + def get_lower_half(self, face_sequences): #取得输入图片的下半部分。 + return face_sequences[:, :, face_sequences.size(2) // 2:] + + def to_2d(self, face_sequences): #将输入的图片序列连接起来，形成一个二维的tensor。 + B = face_sequences.size(0) + face_sequences = torch.cat([face_sequences[:, :, i] for i in range(face_sequences.size(2))], dim=0) + return face_sequences + + def perceptual_forward(self, false_face_sequences): #前传生成图像 + false_face_sequences = self.to_2d(false_face_sequences) #[bz, 3, 5, 256, 256]->[bz*5, 3, 256, 256] + false_face_sequences = self.get_lower_half(false_face_sequences)#[bz*5, 3, 256, 256]->[bz*5, 3, 128, 256] + + false_feats = false_face_sequences + for f in self.face_encoder_blocks: #[bz*5, 3, 128, 256]->[bz*5, 512, 1, 1] + false_feats = f(false_feats) + + return self.binary_pred(false_feats).view(len(false_feats), -1) #[bz*5, 512, 1, 1]->[bz*5, 1, 1] + + def forward(self, face_sequences): #前传真值图像 + face_sequences = self.to_2d(face_sequences) + face_sequences = self.get_lower_half(face_sequences) + + x = face_sequences + for f in self.face_encoder_blocks: + x = f(x) + + return self.binary_pred(x).view(len(x), -1) diff --git a/src/test_audio2coeff.py b/src/test_audio2coeff.py new file mode 100644 index 0000000000000000000000000000000000000000..bd28ce025ac43c423dd633c75b95bb9c12930a16 --- /dev/null +++ b/src/test_audio2coeff.py @@ -0,0 +1,123 @@ +import os +import torch +import numpy as np +from scipy.io import savemat, loadmat +from yacs.config import CfgNode as CN +from scipy.signal import savgol_filter + +import safetensors +import safetensors.torch + +from src.audio2pose_models.audio2pose import Audio2Pose +from src.audio2exp_models.networks import SimpleWrapperV2 +from src.audio2exp_models.audio2exp import Audio2Exp +from src.utils.safetensor_helper import load_x_from_safetensor + +def load_cpk(checkpoint_path, model=None, optimizer=None, device="cpu"): + checkpoint = torch.load(checkpoint_path, map_location=torch.device(device)) + if model is not None: + model.load_state_dict(checkpoint['model']) + if optimizer is not None: + optimizer.load_state_dict(checkpoint['optimizer']) + + return checkpoint['epoch'] + +class Audio2Coeff(): + + def __init__(self, sadtalker_path, device): + #load config + fcfg_pose = open(sadtalker_path['audio2pose_yaml_path']) + cfg_pose = CN.load_cfg(fcfg_pose) + cfg_pose.freeze() + fcfg_exp = open(sadtalker_path['audio2exp_yaml_path']) + cfg_exp = CN.load_cfg(fcfg_exp) + cfg_exp.freeze() + + # load audio2pose_model + self.audio2pose_model = Audio2Pose(cfg_pose, None, device=device) + self.audio2pose_model = self.audio2pose_model.to(device) + self.audio2pose_model.eval() + for param in self.audio2pose_model.parameters(): + param.requires_grad = False + + try: + if sadtalker_path['use_safetensor']: + checkpoints = safetensors.torch.load_file(sadtalker_path['checkpoint']) + self.audio2pose_model.load_state_dict(load_x_from_safetensor(checkpoints, 'audio2pose')) + else: + load_cpk(sadtalker_path['audio2pose_checkpoint'], model=self.audio2pose_model, device=device) + except: + raise Exception("Failed in loading audio2pose_checkpoint") + + # load audio2exp_model + netG = SimpleWrapperV2() + netG = netG.to(device) + for param in netG.parameters(): + netG.requires_grad = False + netG.eval() + try: + if sadtalker_path['use_safetensor']: + checkpoints = safetensors.torch.load_file(sadtalker_path['checkpoint']) + netG.load_state_dict(load_x_from_safetensor(checkpoints, 'audio2exp')) + else: + load_cpk(sadtalker_path['audio2exp_checkpoint'], model=netG, device=device) + except: + raise Exception("Failed in loading audio2exp_checkpoint") + self.audio2exp_model = Audio2Exp(netG, cfg_exp, device=device, prepare_training_loss=False) + self.audio2exp_model = self.audio2exp_model.to(device) + for param in self.audio2exp_model.parameters(): + param.requires_grad = False + self.audio2exp_model.eval() + + self.device = device + + def generate(self, batch, coeff_save_dir, pose_style, ref_pose_coeff_path=None): + + with torch.no_grad(): + #test + results_dict_exp= self.audio2exp_model.test(batch) + exp_pred = results_dict_exp['exp_coeff_pred'] #bs T 64 + + #for class_id in range(1): + #class_id = 0#(i+10)%45 + #class_id = random.randint(0,46) #46 styles can be selected + batch['class'] = torch.LongTensor([pose_style]).to(self.device) + results_dict_pose = self.audio2pose_model.test(batch) + pose_pred = results_dict_pose['pose_pred'] #bs T 6 + + pose_len = pose_pred.shape[1] + if pose_len<13: + pose_len = int((pose_len-1)/2)*2+1 + pose_pred = torch.Tensor(savgol_filter(np.array(pose_pred.cpu()), pose_len, 2, axis=1)).to(self.device) + else: + pose_pred = torch.Tensor(savgol_filter(np.array(pose_pred.cpu()), 13, 2, axis=1)).to(self.device) + + coeffs_pred = torch.cat((exp_pred, pose_pred), dim=-1) #bs T 70 + + coeffs_pred_numpy = coeffs_pred[0].clone().detach().cpu().numpy() + + # if ref_pose_coeff_path is not None: + # coeffs_pred_numpy = self.using_refpose(coeffs_pred_numpy, ref_pose_coeff_path) + + # savemat(os.path.join(coeff_save_dir, '%s##%s.mat'%(batch['pic_name'], batch['audio_name'])), + # {'coeff_3dmm': coeffs_pred_numpy}) + + return coeffs_pred_numpy + + def using_refpose(self, coeffs_pred_numpy, ref_pose_coeff_path): + num_frames = coeffs_pred_numpy.shape[0] + refpose_coeff_dict = loadmat(ref_pose_coeff_path) + refpose_coeff = refpose_coeff_dict['coeff_3dmm'][:,64:70] + refpose_num_frames = refpose_coeff.shape[0] + if refpose_num_frames i: + fuse_layer.append(nn.Sequential( + nn.Conv2d(num_inchannels[j], + num_inchannels[i], + 1, + 1, + 0, + bias=False), + nn.BatchNorm2d(num_inchannels[i]), + nn.Upsample(scale_factor=2**(j-i), mode='nearest'))) + elif j == i: + fuse_layer.append(None) + else: + conv3x3s = [] + for k in range(i-j): + if k == i - j - 1: + num_outchannels_conv3x3 = num_inchannels[i] + conv3x3s.append(nn.Sequential( + nn.Conv2d(num_inchannels[j], + num_outchannels_conv3x3, + 3, 2, 1, bias=False), + nn.BatchNorm2d(num_outchannels_conv3x3))) + else: + num_outchannels_conv3x3 = num_inchannels[j] + conv3x3s.append(nn.Sequential( + nn.Conv2d(num_inchannels[j], + num_outchannels_conv3x3, + 3, 2, 1, bias=False), + nn.BatchNorm2d(num_outchannels_conv3x3), + nn.ReLU(False))) + fuse_layer.append(nn.Sequential(*conv3x3s)) + fuse_layers.append(nn.ModuleList(fuse_layer)) + + return nn.ModuleList(fuse_layers) + + def get_num_inchannels(self): + return self.num_inchannels + + def forward(self, x): + if self.num_branches == 1: + return [self.branches[0](x[0])] + + for i in range(self.num_branches): + x[i] = self.branches[i](x[i]) + + x_fuse = [] + for i in range(len(self.fuse_layers)): + y = x[0] if i == 0 else self.fuse_layers[i][0](x[0]) + for j in range(1, self.num_branches): + if i == j: + y = y + x[j] + else: + y = y + self.fuse_layers[i][j](x[j]) + x_fuse.append(self.relu(y)) + + return x_fuse + +class HighResolutionNet(nn.Module): + + def __init__(self, num_modules, num_branches, block, + num_blocks, num_channels, fuse_method, **kwargs): + super(HighResolutionNet, self).__init__() + self.num_modules = num_modules + self.num_branches = num_branches + self.block = block + self.num_blocks = num_blocks + self.num_channels = num_channels + self.fuse_method = fuse_method + + self.conv1 = nn.Conv2d(3, 64, kernel_size=3, stride=2, padding=1, + bias=False) + self.bn1 = nn.BatchNorm2d(64) + self.conv2 = nn.Conv2d(64, 64, kernel_size=3, stride=2, padding=1, + bias=False) + self.bn2 = nn.BatchNorm2d(64) + self.relu = nn.ReLU(inplace=True) + # layer1 + num_channels, num_blocks = self.num_channels[0][0], self.num_blocks[0][0] + self.layer1 = self._make_layer(self.block[0], 64, num_channels, num_blocks) + stage1_out_channel = self.block[0].expansion*num_channels + # layer2 + num_channels, num_blocks = self.num_channels[1], self.num_blocks[1] + num_channels = [ + num_channels[i] * self.block[1].expansion for i in range(len(num_channels))] + self.transition1 = self._make_transition_layer([stage1_out_channel], num_channels) + self.stage2, pre_stage_channels = self._make_stage(1, num_channels) + # layer3 + num_channels, num_blocks = self.num_channels[2], self.num_blocks[2] + num_channels = [ + num_channels[i] * self.block[2].expansion for i in range(len(num_channels))] + self.transition2 = self._make_transition_layer(pre_stage_channels, num_channels) + self.stage3, pre_stage_channels = self._make_stage(2, num_channels) + # layer4 + num_channels, num_blocks = self.num_channels[3], self.num_blocks[3] + num_channels = [ + num_channels[i] * self.block[3].expansion for i in range(len(num_channels))] + self.transition3 = self._make_transition_layer(pre_stage_channels, num_channels) + self.stage4, pre_stage_channels = self._make_stage(3, num_channels, multi_scale_output=True) + self._out_channels = sum(pre_stage_channels) + + def _make_transition_layer(self, num_channels_pre_layer, num_channels_cur_layer): + num_branches_cur = len(num_channels_cur_layer) + num_branches_pre = len(num_channels_pre_layer) + + transition_layers = [] + for i in range(num_branches_cur): + if i < num_branches_pre: + if num_channels_cur_layer[i] != num_channels_pre_layer[i]: + transition_layers.append(nn.Sequential( + nn.Conv2d(num_channels_pre_layer[i], + num_channels_cur_layer[i], + 3, + 1, + 1, + bias=False), + nn.BatchNorm2d( + num_channels_cur_layer[i], ), + nn.ReLU(inplace=True))) + else: + transition_layers.append(None) + else: + conv3x3s = [] + for j in range(i+1-num_branches_pre): + inchannels = num_channels_pre_layer[-1] + outchannels = num_channels_cur_layer[i] \ + if j == i-num_branches_pre else inchannels + conv3x3s.append(nn.Sequential( + nn.Conv2d( + inchannels, outchannels, 3, 2, 1, bias=False), + nn.BatchNorm2d(outchannels, ), + nn.ReLU(inplace=True))) + transition_layers.append(nn.Sequential(*conv3x3s)) + + return nn.ModuleList(transition_layers) + + def _make_layer(self, block, inplanes, planes, blocks, stride=1): + downsample = None + if stride != 1 or inplanes != planes * block.expansion: + downsample = nn.Sequential( + nn.Conv2d(inplanes, planes * block.expansion, + kernel_size=1, stride=stride, bias=False), + nn.BatchNorm2d(planes * block.expansion, ), + ) + + layers = [] + layers.append(block(inplanes, planes, stride, downsample)) + inplanes = planes * block.expansion + for i in range(1, blocks): + layers.append(block(inplanes, planes)) + + return nn.Sequential(*layers) + + def _make_stage(self, stage_index, in_channels, + multi_scale_output=True): + num_modules = self.num_modules[stage_index] + num_branches = self.num_branches[stage_index] + num_blocks = self.num_blocks[stage_index] + num_channels = self.num_channels[stage_index] + block = self.block[stage_index] + fuse_method = self.fuse_method[stage_index] + modules = [] + for i in range(num_modules): + # multi_scale_output is only used last module + if not multi_scale_output and i == num_modules - 1: + reset_multi_scale_output = False + else: + reset_multi_scale_output = True + + modules.append( + HighResolutionModule(num_branches, + block, + num_blocks, + in_channels, + num_channels, + fuse_method, + reset_multi_scale_output) + ) + in_channels = modules[-1].get_num_inchannels() + + return nn.Sequential(*modules), in_channels + + def forward(self, x): + x = self.conv1(x) + x = self.bn1(x) + x = self.relu(x) + x = self.conv2(x) + x = self.bn2(x) + x = self.relu(x) + x = self.layer1(x) + + x_list = [] + for i in range(self.num_branches[1]): + if self.transition1[i] is not None: + x_list.append(self.transition1[i](x)) + else: + x_list.append(x) + y_list = self.stage2(x_list) + + x_list = [] + for i in range(self.num_branches[2]): + if self.transition2[i] is not None: + x_list.append(self.transition2[i](y_list[-1])) + else: + x_list.append(y_list[i]) + y_list = self.stage3(x_list) + + x_list = [] + for i in range(self.num_branches[3]): + if self.transition3[i] is not None: + x_list.append(self.transition3[i](y_list[-1])) + else: + x_list.append(y_list[i]) + y_list = self.stage4(x_list) + + kwargs = { + 'size': tuple(y_list[0].shape[-2:]), + 'mode': 'bilinear', 'align_corners': False, + } + return torch.cat([F.interpolate(y,**kwargs) for y in y_list], 1) + +def hrnet18s(pretrained=True, **kwargs): + model = HighResolutionNet( + num_modules = [1, 1, 3, 2], + num_branches = [1, 2, 3, 4], + block = [Bottleneck, BasicBlock, BasicBlock, BasicBlock], + num_blocks = [(2,), (2,2), (2,2,2), (2,2,2,2)], + num_channels = [(64,), (18,36), (18,36,72), (18,36,72,144)], + fuse_method = ['SUM', 'SUM', 'SUM', 'SUM'], + **kwargs + ) + if pretrained: + model.load_state_dict(model_zoo.load_url(model_urls['hrnet_w18s']), strict=False) + return model + +def hrnet18(pretrained=False, **kwargs): + model = HighResolutionNet( + num_modules = [1, 1, 4, 3], + num_branches = [1, 2, 3, 4], + block = [Bottleneck, BasicBlock, BasicBlock, BasicBlock], + num_blocks = [(4,), (4,4), (4,4,4), (4,4,4,4)], + num_channels = [(64,), (18,36), (18,36,72), (18,36,72,144)], + fuse_method = ['SUM', 'SUM', 'SUM', 'SUM'], + **kwargs + ) + if pretrained: + model.load_state_dict(model_zoo.load_url(model_urls['hrnet18']), strict=False) + return model + +def hrnet32(pretrained=False, **kwargs): + model = HighResolutionNet( + num_modules = [1, 1, 4, 3], + num_branches = [1, 2, 3, 4], + block = [Bottleneck, BasicBlock, BasicBlock, BasicBlock], + num_blocks = [(4,), (4,4), (4,4,4), (4,4,4,4)], + num_channels = [(64,), (32,64), (32,64,128), (32,64,128,256)], + fuse_method = ['SUM', 'SUM', 'SUM', 'SUM'], + **kwargs + ) + if pretrained: + model.load_state_dict(model_zoo.load_url(model_urls['hrnet32']), strict=False) + return model + + diff --git a/src/torchalign/backbone/int.idx.txt b/src/torchalign/backbone/int.idx.txt new file mode 100644 index 0000000000000000000000000000000000000000..180f4b260b7dbb3591fe7b985b44fd3df2e5007f --- /dev/null +++ b/src/torchalign/backbone/int.idx.txt @@ -0,0 +1 @@ +f42fbb1587b1d70a64fa87f631a08ace \ No newline at end of file diff --git a/src/torchalign/backbone/mobilenet.py b/src/torchalign/backbone/mobilenet.py new file mode 100644 index 0000000000000000000000000000000000000000..a61933f66684886452d08e3432f160344edef2db --- /dev/null +++ b/src/torchalign/backbone/mobilenet.py @@ -0,0 +1,89 @@ +import math +import torch +import torch.nn as nn +import torch.nn.functional as F +import torch.utils.model_zoo as model_zoo + + +__all__ = ['MobileNetV2', 'mobilenetv2'] + + +class Block(nn.Module): + """ + Bottleneck Residual Block + + """ + def __init__(self, in_channels, out_channels, expansion=1, stride=1): + super(Block, self).__init__() + if expansion == 1: + self.conv = nn.Sequential( + nn.Conv2d(in_channels, in_channels, 3, stride, 1, groups=in_channels, bias=False), + nn.BatchNorm2d(in_channels), + nn.ReLU6(inplace=True), + nn.Conv2d(in_channels, out_channels, 1, 1, 0, bias=False), + nn.BatchNorm2d(out_channels), + ) + else: + channels = expansion * in_channels + self.conv = nn.Sequential( + nn.Conv2d(in_channels, channels, 1, 1, 0, bias=False), + nn.BatchNorm2d(channels), + nn.ReLU6(inplace=True), + nn.Conv2d(channels, channels, 3, stride, 1, groups=channels, bias=False), + nn.BatchNorm2d(channels), + nn.ReLU6(inplace=True), + nn.Conv2d(channels, out_channels, 1, 1, 0, bias=False), + nn.BatchNorm2d(out_channels), + ) + self.residual = (stride == 1) and (in_channels == out_channels) + + def forward(self, x): + out = self.conv(x) + if self.residual: + out = out + x + return out + + +class MobileNetV2(nn.Module): + def __init__(self, config): + super(MobileNetV2, self).__init__() + in_channels = config[0][1] + features = [nn.Sequential( + nn.Conv2d(3, in_channels, 3, 2, 1, bias=False), + nn.BatchNorm2d(in_channels), + nn.ReLU6(inplace=True) + )] + for expansion, out_channels, blocks, stride in config[1:]: + for i in range(blocks): + features.append(Block(in_channels, out_channels, expansion, stride if i == 0 else 1)) + in_channels = out_channels + self.features = nn.Sequential(*features) + + def forward(self, x): + c2 = self.features[:4](x) + c3 = self.features[4:7](c2) + c4 = self.features[7:14](c3) + kwargs = {'size': c2.shape[-2:],'mode': 'bilinear','align_corners': False} + return torch.cat([F.interpolate(xx,**kwargs) for xx in [c2,c3,c4]], 1) + + +def mobilenetv2(pretrained=False, **kwargs): + """Constructs a MobileNetv2 model. + Args: + pretrained (bool): If True, returns a model pre-trained on ImageNet + """ + config = [ + (1, 32, 1, 1), + (1, 16, 1, 1), + (6, 24, 2, 2), + (6, 32, 3, 2), + (6, 64, 4, 2), + (6, 96, 3, 1), + ] + model = MobileNetV2(config, **kwargs) + if pretrained: + model.load_state_dict(model_zoo.load_url(model_urls['mobilenetv2']), strict=False) + return model + + + diff --git a/src/torchalign/cfg.py b/src/torchalign/cfg.py new file mode 100644 index 0000000000000000000000000000000000000000..e8264aa659300c7376937e2e68df337808d28ab6 --- /dev/null +++ b/src/torchalign/cfg.py @@ -0,0 +1,37 @@ +from yacs.config import CfgNode as CN + +_C = CN() + +### INPUT #### +_C.INPUT = CN() +_C.INPUT.SIZE = [256, 256] +_C.INPUT.SCALE = 1.25 +_C.INPUT.DATASET = 'WFLW' +_C.INPUT.BBOX = 'P1' +_C.INPUT.FLIP = True +_C.INPUT.FLIP_ORDER = [ + 32, 31, 30, 29, 28, 27, 26, 25, 24, 23, 22, 21, 20, 19, 18, 17, 16, 15, + 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0, 46, 45, 44, + 43, 42, 50, 49, 48, 47, 37, 36, 35, 34, 33, 41, 40, 39, 38, 51, 52, 53, + 54, 59, 58, 57, 56, 55, 72, 71, 70, 69, 68, 75, 74, 73, 64, 63, 62, 61, + 60, 67, 66, 65, 82, 81, 80, 79, 78, 77, 76, 87, 86, 85, 84, 83, 92, 91, + 90, 89, 88, 95, 94, 93, 97, 96 +] + +### BACKBONE ### +_C.BACKBONE = CN() +_C.BACKBONE.ARCH = 'hrnet18' + +### HEATMAP ### +_C.HEATMAP = CN() +_C.HEATMAP.ARCH = 'HeatmapHead' +_C.HEATMAP.IN_CHANNEL = 270 +_C.HEATMAP.PROJ_CHANNEL = 270 +_C.HEATMAP.OUT_CHANNEL = 98 # number of landmarks +_C.HEATMAP.STRIDE = 4.0 +_C.HEATMAP.ENCODER = 'Coordinate2BinaryHeatmap' +_C.HEATMAP.DECODER = 'BinaryHeatmap2Coordinate' +_C.HEATMAP.BLOCK = 'BinaryHeadBlock' +_C.HEATMAP.TOPK = 9 + +cfg = _C diff --git a/src/torchalign/heatmap_head/__init__.py b/src/torchalign/heatmap_head/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..629b74c9cd3a933913b20c6c65701f24d7d9f63e --- /dev/null +++ b/src/torchalign/heatmap_head/__init__.py @@ -0,0 +1 @@ +from .heatmap_head import * \ No newline at end of file diff --git a/src/torchalign/heatmap_head/blocks/9a0ca4ff7c9c60fb845aab47991d5408.check.txt b/src/torchalign/heatmap_head/blocks/9a0ca4ff7c9c60fb845aab47991d5408.check.txt new file mode 100644 index 0000000000000000000000000000000000000000..24d3b74b89454099d709989d662a523c1e469c5d --- /dev/null +++ b/src/torchalign/heatmap_head/blocks/9a0ca4ff7c9c60fb845aab47991d5408.check.txt @@ -0,0 +1,6 @@ +functionalf42fbb1587b1d70a64fa87f631a08ace +module95d2a1de2a8dde997783585873fc72c7 +heatmap_head669fa2970939a9a6a4afda5f450e80ab +0010c5d799320c28f4e79915af67ea4b +head_block77cee113da5286a2dea2c19b04159fe0 +hrnet1be77cd13d4d1cb27e9287b35059480c \ No newline at end of file diff --git a/src/torchalign/heatmap_head/blocks/__init__.py b/src/torchalign/heatmap_head/blocks/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..34a26bb82ace4213f7edb834f34ca76373e488b9 --- /dev/null +++ b/src/torchalign/heatmap_head/blocks/__init__.py @@ -0,0 +1 @@ +from .head_block import * \ No newline at end of file diff --git a/src/torchalign/heatmap_head/blocks/head_block.py b/src/torchalign/heatmap_head/blocks/head_block.py new file mode 100644 index 0000000000000000000000000000000000000000..0cf037cba8b03737ba406380a23b0e17fd2e352c --- /dev/null +++ b/src/torchalign/heatmap_head/blocks/head_block.py @@ -0,0 +1,24 @@ +import torch +import torch.nn as nn +import torch.nn.functional as F + + +__all__ = [ 'BinaryHeadBlock' ] + + +class BinaryHeadBlock(nn.Module): + """BinaryHeadBlock + """ + def __init__(self, in_channels, proj_channels, out_channels, **kwargs): + super(BinaryHeadBlock, self).__init__() + self.layers = nn.Sequential( + nn.Conv2d(in_channels, proj_channels, 1, bias=False), + nn.BatchNorm2d(proj_channels), + nn.ReLU(inplace=True), + nn.Conv2d(proj_channels, out_channels*2, 1, bias=False), + ) + + def forward(self, input): + N, C, H, W = input.shape + return self.layers(input).view(N, 2, -1, H, W) + diff --git a/src/torchalign/heatmap_head/heatmap_head.py b/src/torchalign/heatmap_head/heatmap_head.py new file mode 100644 index 0000000000000000000000000000000000000000..b7ad0076974104a4c0ee3473f2ac43acfd012078 --- /dev/null +++ b/src/torchalign/heatmap_head/heatmap_head.py @@ -0,0 +1,28 @@ +import torch +import torch.nn as nn +import torch.nn.functional as F + +from . import blocks, transforms + + +__all__ = [ 'HeatmapHead' ] + + +class HeatmapHead(nn.Module): + """HeatmapHead + """ + def __init__(self, cfg, **kwargs): + super(HeatmapHead, self).__init__() + self.decoder = transforms.__dict__[cfg.HEATMAP.DECODER]( + topk=cfg.HEATMAP.TOPK, + stride=cfg.HEATMAP.STRIDE, + ) + self.head = blocks.__dict__[cfg.HEATMAP.BLOCK]( + in_channels=cfg.HEATMAP.IN_CHANNEL, + proj_channels=cfg.HEATMAP.PROJ_CHANNEL, + out_channels=cfg.HEATMAP.OUT_CHANNEL, + ) + + def forward(self, input): + return self.decoder(self.head(input)) + diff --git a/src/torchalign/heatmap_head/transforms/__init__.py b/src/torchalign/heatmap_head/transforms/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..8b4781f63688395ddc45571470c6bf9bf4581ad7 --- /dev/null +++ b/src/torchalign/heatmap_head/transforms/__init__.py @@ -0,0 +1,2 @@ +from .functional import * +from .module import * diff --git a/src/torchalign/heatmap_head/transforms/functional.py b/src/torchalign/heatmap_head/transforms/functional.py new file mode 100644 index 0000000000000000000000000000000000000000..746916f2f92d2c9f775e3d4506f65bdd8ce45d86 --- /dev/null +++ b/src/torchalign/heatmap_head/transforms/functional.py @@ -0,0 +1,12 @@ + +import torch +import torch.nn as nn +import torch.nn.functional as F + + +def heatmap2coord(heatmap, topk=9): + N, C, H, W = heatmap.shape + score, index = heatmap.view(N,C,1,-1).topk(topk, dim=-1) + coord = torch.cat([index%W, index//W], dim=2) + return (coord*F.softmax(score, dim=-1)).sum(-1) + \ No newline at end of file diff --git a/src/torchalign/heatmap_head/transforms/module.py b/src/torchalign/heatmap_head/transforms/module.py new file mode 100644 index 0000000000000000000000000000000000000000..d448ef570368dcd54eaa1b33eccebad7774276c5 --- /dev/null +++ b/src/torchalign/heatmap_head/transforms/module.py @@ -0,0 +1,28 @@ + +import torch +import torch.nn as nn + +from . import functional as F + + +__all__ = [ 'BinaryHeatmap2Coordinate' ] + + +class BinaryHeatmap2Coordinate(nn.Module): + """BinaryHeatmap2Coordinate + """ + def __init__(self, stride=4.0, topk=5, **kwargs): + super(BinaryHeatmap2Coordinate, self).__init__() + self.topk = topk + self.stride = stride + + def forward(self, input): + return self.stride * F.heatmap2coord(input[:,1,...], self.topk) + + def __repr__(self): + format_string = self.__class__.__name__ + '(' + format_string += 'topk={}, '.format(self.topk) + format_string += 'stride={}'.format(self.stride) + format_string += ')' + return format_string + diff --git a/src/utils/audio.py b/src/utils/audio.py new file mode 100644 index 0000000000000000000000000000000000000000..89433eb4c681112804fbed72b157700f553739a8 --- /dev/null +++ b/src/utils/audio.py @@ -0,0 +1,136 @@ +import librosa +import librosa.filters +import numpy as np +# import tensorflow as tf +from scipy import signal +from scipy.io import wavfile +from src.utils.hparams import hparams as hp + +def load_wav(path, sr): + return librosa.core.load(path, sr=sr)[0] + +def save_wav(wav, path, sr): + wav *= 32767 / max(0.01, np.max(np.abs(wav))) + #proposed by @dsmiller + wavfile.write(path, sr, wav.astype(np.int16)) + +def save_wavenet_wav(wav, path, sr): + librosa.output.write_wav(path, wav, sr=sr) + +def preemphasis(wav, k, preemphasize=True): + if preemphasize: + return signal.lfilter([1, -k], [1], wav) + return wav + +def inv_preemphasis(wav, k, inv_preemphasize=True): + if inv_preemphasize: + return signal.lfilter([1], [1, -k], wav) + return wav + +def get_hop_size(): + hop_size = hp.hop_size + if hop_size is None: + assert hp.frame_shift_ms is not None + hop_size = int(hp.frame_shift_ms / 1000 * hp.sample_rate) + return hop_size + +def linearspectrogram(wav): + D = _stft(preemphasis(wav, hp.preemphasis, hp.preemphasize)) + S = _amp_to_db(np.abs(D)) - hp.ref_level_db + + if hp.signal_normalization: + return _normalize(S) + return S + +def melspectrogram(wav): + D = _stft(preemphasis(wav, hp.preemphasis, hp.preemphasize)) + S = _amp_to_db(_linear_to_mel(np.abs(D))) - hp.ref_level_db + + if hp.signal_normalization: + return _normalize(S) + return S + +def _lws_processor(): + import lws + return lws.lws(hp.n_fft, get_hop_size(), fftsize=hp.win_size, mode="speech") + +def _stft(y): + if hp.use_lws: + return _lws_processor(hp).stft(y).T + else: + return librosa.stft(y=y, n_fft=hp.n_fft, hop_length=get_hop_size(), win_length=hp.win_size) + +########################################################## +#Those are only correct when using lws!!! (This was messing with Wavenet quality for a long time!) +def num_frames(length, fsize, fshift): + """Compute number of time frames of spectrogram + """ + pad = (fsize - fshift) + if length % fshift == 0: + M = (length + pad * 2 - fsize) // fshift + 1 + else: + M = (length + pad * 2 - fsize) // fshift + 2 + return M + + +def pad_lr(x, fsize, fshift): + """Compute left and right padding + """ + M = num_frames(len(x), fsize, fshift) + pad = (fsize - fshift) + T = len(x) + 2 * pad + r = (M - 1) * fshift + fsize - T + return pad, pad + r +########################################################## +#Librosa correct padding +def librosa_pad_lr(x, fsize, fshift): + return 0, (x.shape[0] // fshift + 1) * fshift - x.shape[0] + +# Conversions +_mel_basis = None + +def _linear_to_mel(spectogram): + global _mel_basis + if _mel_basis is None: + _mel_basis = _build_mel_basis() + return np.dot(_mel_basis, spectogram) + +def _build_mel_basis(): + assert hp.fmax <= hp.sample_rate // 2 + return librosa.filters.mel(sr=hp.sample_rate, n_fft=hp.n_fft, n_mels=hp.num_mels, + fmin=hp.fmin, fmax=hp.fmax) + +def _amp_to_db(x): + min_level = np.exp(hp.min_level_db / 20 * np.log(10)) + return 20 * np.log10(np.maximum(min_level, x)) + +def _db_to_amp(x): + return np.power(10.0, (x) * 0.05) + +def _normalize(S): + if hp.allow_clipping_in_normalization: + if hp.symmetric_mels: + return np.clip((2 * hp.max_abs_value) * ((S - hp.min_level_db) / (-hp.min_level_db)) - hp.max_abs_value, + -hp.max_abs_value, hp.max_abs_value) + else: + return np.clip(hp.max_abs_value * ((S - hp.min_level_db) / (-hp.min_level_db)), 0, hp.max_abs_value) + + assert S.max() <= 0 and S.min() - hp.min_level_db >= 0 + if hp.symmetric_mels: + return (2 * hp.max_abs_value) * ((S - hp.min_level_db) / (-hp.min_level_db)) - hp.max_abs_value + else: + return hp.max_abs_value * ((S - hp.min_level_db) / (-hp.min_level_db)) + +def _denormalize(D): + if hp.allow_clipping_in_normalization: + if hp.symmetric_mels: + return (((np.clip(D, -hp.max_abs_value, + hp.max_abs_value) + hp.max_abs_value) * -hp.min_level_db / (2 * hp.max_abs_value)) + + hp.min_level_db) + else: + return ((np.clip(D, 0, hp.max_abs_value) * -hp.min_level_db / hp.max_abs_value) + hp.min_level_db) + + if hp.symmetric_mels: + return (((D + hp.max_abs_value) * -hp.min_level_db / (2 * hp.max_abs_value)) + hp.min_level_db) + else: + return ((D * -hp.min_level_db / hp.max_abs_value) + hp.min_level_db) diff --git a/src/utils/croper.py b/src/utils/croper.py new file mode 100644 index 0000000000000000000000000000000000000000..3d9a0ac58f97afdc95d40f2a400272b11fe38093 --- /dev/null +++ b/src/utils/croper.py @@ -0,0 +1,144 @@ +import os +import cv2 +import time +import glob +import argparse +import scipy +import numpy as np +from PIL import Image +import torch +from tqdm import tqdm +from itertools import cycle + +from src.face3d.extract_kp_videos_safe import KeypointExtractor +from facexlib.alignment import landmark_98_to_68 + +import numpy as np +from PIL import Image + +class Preprocesser: + def __init__(self, device='cuda'): + self.predictor = KeypointExtractor(device) + + def get_landmark(self, img_np): + """get landmark with dlib + :return: np.array shape=(68, 2) + """ + with torch.no_grad(): + dets = self.predictor.det_net.detect_faces(img_np, 0.97) + + if len(dets) == 0: + return None + det = dets[0] + + img = img_np[int(det[1]):int(det[3]), int(det[0]):int(det[2]), :] + lm = landmark_98_to_68(self.predictor.detector.get_landmarks(img)) # [0] + + #### keypoints to the original location + lm[:,0] += int(det[0]) + lm[:,1] += int(det[1]) + + return lm + + def align_face(self, img, lm, output_size=1024): + """ + :param filepath: str + :return: PIL Image + """ + lm_chin = lm[0: 17] # left-right + lm_eyebrow_left = lm[17: 22] # left-right + lm_eyebrow_right = lm[22: 27] # left-right + lm_nose = lm[27: 31] # top-down + lm_nostrils = lm[31: 36] # top-down + lm_eye_left = lm[36: 42] # left-clockwise + lm_eye_right = lm[42: 48] # left-clockwise + lm_mouth_outer = lm[48: 60] # left-clockwise + lm_mouth_inner = lm[60: 68] # left-clockwise + + # Calculate auxiliary vectors. + eye_left = np.mean(lm_eye_left, axis=0) + eye_right = np.mean(lm_eye_right, axis=0) + eye_avg = (eye_left + eye_right) * 0.5 + eye_to_eye = eye_right - eye_left + mouth_left = lm_mouth_outer[0] + mouth_right = lm_mouth_outer[6] + mouth_avg = (mouth_left + mouth_right) * 0.5 + eye_to_mouth = mouth_avg - eye_avg + + # Choose oriented crop rectangle. + x = eye_to_eye - np.flipud(eye_to_mouth) * [-1, 1] # Addition of binocular difference and double mouth difference + x /= np.hypot(*x) # hypot函数计算直角三角形的斜边长，用斜边长对三角形两条直边做归一化 + x *= max(np.hypot(*eye_to_eye) * 2.0, np.hypot(*eye_to_mouth) * 1.8) # 双眼差和眼嘴差，选较大的作为基准尺度 + y = np.flipud(x) * [-1, 1] + c = eye_avg + eye_to_mouth * 0.1 + quad = np.stack([c - x - y, c - x + y, c + x + y, c + x - y]) # 定义四边形，以面部基准位置为中心上下左右平移得到四个顶点 + qsize = np.hypot(*x) * 2 # 定义四边形的大小（边长），为基准尺度的2倍 + + # Shrink. + # 如果计算出的四边形太大了，就按比例缩小它 + shrink = int(np.floor(qsize / output_size * 0.5)) + if shrink > 1: + rsize = (int(np.rint(float(img.size[0]) / shrink)), int(np.rint(float(img.size[1]) / shrink))) + img = img.resize(rsize, Image.ANTIALIAS) + quad /= shrink + qsize /= shrink + else: + rsize = (int(np.rint(float(img.size[0]))), int(np.rint(float(img.size[1])))) + + # Crop. + border = max(int(np.rint(qsize * 0.1)), 3) + crop = (int(np.floor(min(quad[:, 0]))), int(np.floor(min(quad[:, 1]))), int(np.ceil(max(quad[:, 0]))), + int(np.ceil(max(quad[:, 1])))) + crop = (max(crop[0] - border, 0), max(crop[1] - border, 0), min(crop[2] + border, img.size[0]), + min(crop[3] + border, img.size[1])) + if crop[2] - crop[0] < img.size[0] or crop[3] - crop[1] < img.size[1]: + # img = img.crop(crop) + quad -= crop[0:2] + + # Pad. + pad = (int(np.floor(min(quad[:, 0]))), int(np.floor(min(quad[:, 1]))), int(np.ceil(max(quad[:, 0]))), + int(np.ceil(max(quad[:, 1])))) + pad = (max(-pad[0] + border, 0), max(-pad[1] + border, 0), max(pad[2] - img.size[0] + border, 0), + max(pad[3] - img.size[1] + border, 0)) + # if enable_padding and max(pad) > border - 4: + # pad = np.maximum(pad, int(np.rint(qsize * 0.3))) + # img = np.pad(np.float32(img), ((pad[1], pad[3]), (pad[0], pad[2]), (0, 0)), 'reflect') + # h, w, _ = img.shape + # y, x, _ = np.ogrid[:h, :w, :1] + # mask = np.maximum(1.0 - np.minimum(np.float32(x) / pad[0], np.float32(w - 1 - x) / pad[2]), + # 1.0 - np.minimum(np.float32(y) / pad[1], np.float32(h - 1 - y) / pad[3])) + # blur = qsize * 0.02 + # img += (scipy.ndimage.gaussian_filter(img, [blur, blur, 0]) - img) * np.clip(mask * 3.0 + 1.0, 0.0, 1.0) + # img += (np.median(img, axis=(0, 1)) - img) * np.clip(mask, 0.0, 1.0) + # img = Image.fromarray(np.uint8(np.clip(np.rint(img), 0, 255)), 'RGB') + # quad += pad[:2] + + # Transform. + quad = (quad + 0.5).flatten() + lx = max(min(quad[0], quad[2]), 0) + ly = max(min(quad[1], quad[7]), 0) + rx = min(max(quad[4], quad[6]), img.size[0]) + ry = min(max(quad[3], quad[5]), img.size[0]) + + # Save aligned image. + return rsize, crop, [lx, ly, rx, ry] + + def crop(self, img_np_list, still=False, xsize=512): # first frame for all video + img_np = img_np_list[0] + lm = self.get_landmark(img_np) + + if lm is None: + raise 'can not detect the landmark from source image' + rsize, crop, quad = self.align_face(img=Image.fromarray(img_np), lm=lm, output_size=xsize) + clx, cly, crx, cry = crop + lx, ly, rx, ry = quad + lx, ly, rx, ry = int(lx), int(ly), int(rx), int(ry) + for _i in range(len(img_np_list)): + _inp = img_np_list[_i] + _inp = cv2.resize(_inp, (rsize[0], rsize[1])) + _inp = _inp[cly:cry, clx:crx] + if not still: + _inp = _inp[ly:ry, lx:rx] + img_np_list[_i] = _inp + return img_np_list, crop, quad + diff --git a/src/utils/face_enhancer.py b/src/utils/face_enhancer.py new file mode 100644 index 0000000000000000000000000000000000000000..cdba565550859ec00b32c15cc1ec361408c389b3 --- /dev/null +++ b/src/utils/face_enhancer.py @@ -0,0 +1,137 @@ +import os +import torch + + +from tqdm import tqdm + +from src.utils.videoio import load_video_to_cv2 + +import cv2 + + +class GeneratorWithLen(object): + """ From https://stackoverflow.com/a/7460929 """ + + def __init__(self, gen, length): + self.gen = gen + self.length = length + + def __len__(self): + return self.length + + def __iter__(self): + return self.gen + +def enhancer_list(images, method='gfpgan', bg_upsampler='realesrgan'): + gen = enhancer_generator_no_len(images, method=method, bg_upsampler=bg_upsampler) + return list(gen) + +def enhancer_generator_with_len(images, method='gfpgan', bg_upsampler='realesrgan'): + """ Provide a generator with a __len__ method so that it can passed to functions that + call len()""" + + if os.path.isfile(images): # handle video to images + # TODO: Create a generator version of load_video_to_cv2 + images = load_video_to_cv2(images) + + gen = enhancer_generator_no_len(images, method=method, bg_upsampler=bg_upsampler) + gen_with_len = GeneratorWithLen(gen, len(images)) + return gen_with_len + +def enhancer_generator_no_len(images, method='gfpgan', bg_upsampler='realesrgan'): + """ Provide a generator function so that all of the enhanced images don't need + to be stored in memory at the same time. This can save tons of RAM compared to + the enhancer function. """ + try: + from gfpgan import GFPGANer + except ImportError: + print("GFPGAN library not found. Installing...") + try: + # Use pip to install the library + import subprocess + subprocess.check_call(["pip", "install", "gfpgan"]) + + # Retry the import after installation + from gfpgan import GFPGANer + print("GFPGAN library installed successfully!") + except Exception as e: + print(f"Failed to install GFPGAN library. Error: {e}") + # Handle the error or raise it again if needed + + print('face enhancer....') + if not isinstance(images, list) and os.path.isfile(images): # handle video to images + images = load_video_to_cv2(images) + + # ------------------------ set up GFPGAN restorer ------------------------ + if method == 'gfpgan': + arch = 'clean' + channel_multiplier = 2 + model_name = 'GFPGANv1.4' + url = 'https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth' + elif method == 'RestoreFormer': + arch = 'RestoreFormer' + channel_multiplier = 2 + model_name = 'RestoreFormer' + url = 'https://github.com/TencentARC/GFPGAN/releases/download/v1.3.4/RestoreFormer.pth' + elif method == 'codeformer': # TODO: + arch = 'CodeFormer' + channel_multiplier = 2 + model_name = 'CodeFormer' + url = 'https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth' + else: + raise ValueError(f'Wrong model version {method}.') + + + # ------------------------ set up background upsampler ------------------------ + if bg_upsampler == 'realesrgan': + if not torch.cuda.is_available(): # CPU + import warnings + warnings.warn('The unoptimized RealESRGAN is slow on CPU. We do not use it. ' + 'If you really want to use it, please modify the corresponding codes.') + bg_upsampler = None + else: + from basicsr.archs.rrdbnet_arch import RRDBNet + from realesrgan import RealESRGANer + model = RRDBNet(num_in_ch=3, num_out_ch=3, num_feat=64, num_block=23, num_grow_ch=32, scale=2) + bg_upsampler = RealESRGANer( + scale=2, + model_path='https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth', + model=model, + tile=400, + tile_pad=10, + pre_pad=0, + half=True) # need to set False in CPU mode + else: + bg_upsampler = None + + # determine model paths + model_path = os.path.join('gfpgan/weights', model_name + '.pth') + + if not os.path.isfile(model_path): + model_path = os.path.join('checkpoints', model_name + '.pth') + + if not os.path.isfile(model_path): + # download pre-trained models from url + model_path = url + + restorer = GFPGANer( + model_path=model_path, + upscale=2, + arch=arch, + channel_multiplier=channel_multiplier, + bg_upsampler=bg_upsampler) + + # ------------------------ restore ------------------------ + for idx in tqdm(range(len(images)), 'Face Enhancer:'): + + img = cv2.cvtColor(images[idx], cv2.COLOR_RGB2BGR) + + # restore faces and background if necessary + cropped_faces, restored_faces, r_img = restorer.enhance( + img, + has_aligned=False, + only_center_face=False, + paste_back=True) + + r_img = cv2.cvtColor(r_img, cv2.COLOR_BGR2RGB) + yield r_img diff --git a/src/utils/hparams.py b/src/utils/hparams.py new file mode 100644 index 0000000000000000000000000000000000000000..743c5c7d5a5a9e686f1ccd6fb3c2fb5cb382d62b --- /dev/null +++ b/src/utils/hparams.py @@ -0,0 +1,160 @@ +from glob import glob +import os + +class HParams: + def __init__(self, **kwargs): + self.data = {} + + for key, value in kwargs.items(): + self.data[key] = value + + def __getattr__(self, key): + if key not in self.data: + raise AttributeError("'HParams' object has no attribute %s" % key) + return self.data[key] + + def set_hparam(self, key, value): + self.data[key] = value + + +# Default hyperparameters +hparams = HParams( + num_mels=80, # Number of mel-spectrogram channels and local conditioning dimensionality + # network + rescale=True, # Whether to rescale audio prior to preprocessing + rescaling_max=0.9, # Rescaling value + + # Use LWS (https://github.com/Jonathan-LeRoux/lws) for STFT and phase reconstruction + # It"s preferred to set True to use with https://github.com/r9y9/wavenet_vocoder + # Does not work if n_ffit is not multiple of hop_size!! + use_lws=False, + + n_fft=800, # Extra window size is filled with 0 paddings to match this parameter + hop_size=200, # For 16000Hz, 200 = 12.5 ms (0.0125 * sample_rate) + win_size=800, # For 16000Hz, 800 = 50 ms (If None, win_size = n_fft) (0.05 * sample_rate) + sample_rate=16000, # 16000Hz (corresponding to librispeech) (sox --i ) + + frame_shift_ms=None, # Can replace hop_size parameter. (Recommended: 12.5) + + # Mel and Linear spectrograms normalization/scaling and clipping + signal_normalization=True, + # Whether to normalize mel spectrograms to some predefined range (following below parameters) + allow_clipping_in_normalization=True, # Only relevant if mel_normalization = True + symmetric_mels=True, + # Whether to scale the data to be symmetric around 0. (Also multiplies the output range by 2, + # faster and cleaner convergence) + max_abs_value=4., + # max absolute value of data. If symmetric, data will be [-max, max] else [0, max] (Must not + # be too big to avoid gradient explosion, + # not too small for fast convergence) + # Contribution by @begeekmyfriend + # Spectrogram Pre-Emphasis (Lfilter: Reduce spectrogram noise and helps model certitude + # levels. Also allows for better G&L phase reconstruction) + preemphasize=True, # whether to apply filter + preemphasis=0.97, # filter coefficient. + + # Limits + min_level_db=-100, + ref_level_db=20, + fmin=55, + # Set this to 55 if your speaker is male! if female, 95 should help taking off noise. (To + # test depending on dataset. Pitch info: male~[65, 260], female~[100, 525]) + fmax=7600, # To be increased/reduced depending on data. + + ###################### Our training parameters ################################# + img_size=96, + fps=25, + + batch_size=16, + initial_learning_rate=1e-4, + nepochs=300000, ### ctrl + c, stop whenever eval loss is consistently greater than train loss for ~10 epochs + num_workers=20, + checkpoint_interval=3000, + eval_interval=3000, + writer_interval=300, + save_optimizer_state=True, + + syncnet_wt=0.0, # is initially zero, will be set automatically to 0.03 later. Leads to faster convergence. + syncnet_batch_size=64, + syncnet_lr=1e-4, + syncnet_eval_interval=1000, + syncnet_checkpoint_interval=10000, + + disc_wt=0.07, + disc_initial_learning_rate=1e-4, +) + + + +# Default hyperparameters +hparamsdebug = HParams( + num_mels=80, # Number of mel-spectrogram channels and local conditioning dimensionality + # network + rescale=True, # Whether to rescale audio prior to preprocessing + rescaling_max=0.9, # Rescaling value + + # Use LWS (https://github.com/Jonathan-LeRoux/lws) for STFT and phase reconstruction + # It"s preferred to set True to use with https://github.com/r9y9/wavenet_vocoder + # Does not work if n_ffit is not multiple of hop_size!! + use_lws=False, + + n_fft=800, # Extra window size is filled with 0 paddings to match this parameter + hop_size=200, # For 16000Hz, 200 = 12.5 ms (0.0125 * sample_rate) + win_size=800, # For 16000Hz, 800 = 50 ms (If None, win_size = n_fft) (0.05 * sample_rate) + sample_rate=16000, # 16000Hz (corresponding to librispeech) (sox --i ) + + frame_shift_ms=None, # Can replace hop_size parameter. (Recommended: 12.5) + + # Mel and Linear spectrograms normalization/scaling and clipping + signal_normalization=True, + # Whether to normalize mel spectrograms to some predefined range (following below parameters) + allow_clipping_in_normalization=True, # Only relevant if mel_normalization = True + symmetric_mels=True, + # Whether to scale the data to be symmetric around 0. (Also multiplies the output range by 2, + # faster and cleaner convergence) + max_abs_value=4., + # max absolute value of data. If symmetric, data will be [-max, max] else [0, max] (Must not + # be too big to avoid gradient explosion, + # not too small for fast convergence) + # Contribution by @begeekmyfriend + # Spectrogram Pre-Emphasis (Lfilter: Reduce spectrogram noise and helps model certitude + # levels. Also allows for better G&L phase reconstruction) + preemphasize=True, # whether to apply filter + preemphasis=0.97, # filter coefficient. + + # Limits + min_level_db=-100, + ref_level_db=20, + fmin=55, + # Set this to 55 if your speaker is male! if female, 95 should help taking off noise. (To + # test depending on dataset. Pitch info: male~[65, 260], female~[100, 525]) + fmax=7600, # To be increased/reduced depending on data. + + ###################### Our training parameters ################################# + img_size=96, + fps=25, + + batch_size=2, + initial_learning_rate=1e-3, + nepochs=100000, ### ctrl + c, stop whenever eval loss is consistently greater than train loss for ~10 epochs + num_workers=0, + checkpoint_interval=10000, + eval_interval=10, + writer_interval=5, + save_optimizer_state=True, + + syncnet_wt=0.0, # is initially zero, will be set automatically to 0.03 later. Leads to faster convergence. + syncnet_batch_size=64, + syncnet_lr=1e-4, + syncnet_eval_interval=10000, + syncnet_checkpoint_interval=10000, + + disc_wt=0.07, + disc_initial_learning_rate=1e-4, +) + + +def hparams_debug_string(): + values = hparams.values() + hp = [" %s: %s" % (name, values[name]) for name in sorted(values) if name != "sentences"] + return "Hyperparameters:\n" + "\n".join(hp) diff --git a/src/utils/hparamsv2.py b/src/utils/hparamsv2.py new file mode 100644 index 0000000000000000000000000000000000000000..e219934025c1d98b5004fdaa794d0f39acbbb149 --- /dev/null +++ b/src/utils/hparamsv2.py @@ -0,0 +1,67 @@ +class HParams: + def __init__(self, **kwargs): + self.data = {} + + for key, value in kwargs.items(): + self.data[key] = value + + def __getattr__(self, key): + if key not in self.data: + raise AttributeError("'HParams' object has no attribute %s" % key) + return self.data[key] + + def set_hparam(self, key, value): + self.data[key] = value + + +# Default hyperparameters +hparams = HParams( + num_mels=80, # Number of mel-spectrogram channels and local conditioning dimensionality + # network + rescale=True, # Whether to rescale audio prior to preprocessing + rescaling_max=0.9, # Rescaling value + + # Use LWS (https://github.com/Jonathan-LeRoux/lws) for STFT and phase reconstruction + # It"s preferred to set True to use with https://github.com/r9y9/wavenet_vocoder + # Does not work if n_ffit is not multiple of hop_size!! + use_lws=False, + + n_fft=800, # Extra window size is filled with 0 paddings to match this parameter + hop_size=200, # For 16000Hz, 200 = 12.5 ms (0.0125 * sample_rate) + win_size=800, # For 16000Hz, 800 = 50 ms (If None, win_size = n_fft) (0.05 * sample_rate) + sample_rate=16000, # 16000Hz (corresponding to librispeech) (sox --i ) + + frame_shift_ms=None, # Can replace hop_size parameter. (Recommended: 12.5) + + # Mel and Linear spectrograms normalization/scaling and clipping + signal_normalization=True, + # Whether to normalize mel spectrograms to some predefined range (following below parameters) + allow_clipping_in_normalization=True, # Only relevant if mel_normalization = True + symmetric_mels=True, + # Whether to scale the data to be symmetric around 0. (Also multiplies the output range by 2, + # faster and cleaner convergence) + max_abs_value=4., + # max absolute value of data. If symmetric, data will be [-max, max] else [0, max] (Must not + # be too big to avoid gradient explosion, + # not too small for fast convergence) + # Contribution by @begeekmyfriend + # Spectrogram Pre-Emphasis (Lfilter: Reduce spectrogram noise and helps model certitude + # levels. Also allows for better G&L phase reconstruction) + preemphasize=True, # whether to apply filter + preemphasis=0.97, # filter coefficient. + + # Limits + min_level_db=-100, + ref_level_db=20, + fmin=55, + # Set this to 55 if your speaker is male! if female, 95 should help taking off noise. (To + # test depending on dataset. Pitch info: male~[65, 260], female~[100, 525]) + fmax=7600, # To be increased/reduced depending on data. + +) + + +def hparams_debug_string(): + values = hparams.values() + hp = [" %s: %s" % (name, values[name]) for name in sorted(values) if name != "sentences"] + return "Hyperparameters:\n" + "\n".join(hp) diff --git a/src/utils/init_path.py b/src/utils/init_path.py new file mode 100644 index 0000000000000000000000000000000000000000..194a8d5c350b964673247e99314fd3383c39e880 --- /dev/null +++ b/src/utils/init_path.py @@ -0,0 +1,28 @@ +import os + + +def init_path(checkpoint_dir, config_dir, size=512, old_version=False, preprocess='crop'): + print('using safetensor as default') + sadtalker_paths = { + "checkpoint":os.path.join(checkpoint_dir, 'SadTalker_V0.0.2_'+str(size)+'.safetensors'), + } + use_safetensor = True + + sadtalker_paths['dir_of_BFM_fitting'] = os.path.join(config_dir) # , 'BFM_Fitting' + sadtalker_paths['audio2pose_yaml_path'] = os.path.join(config_dir, 'auido2pose.yaml') + sadtalker_paths['audio2exp_yaml_path'] = os.path.join(config_dir, 'auido2exp.yaml') + sadtalker_paths['pirender_yaml_path'] = os.path.join(config_dir, 'facerender_pirender.yaml') + sadtalker_paths['pirender_checkpoint'] = os.path.join(checkpoint_dir, 'epoch_00190_iteration_000400000_checkpoint.pt') + sadtalker_paths['use_safetensor'] = use_safetensor # os.path.join(config_dir, 'auido2exp.yaml') + + if 'full' in preprocess: + sadtalker_paths['mappingnet_checkpoint'] = os.path.join(checkpoint_dir, 'mapping_00109-model.pth.tar') + sadtalker_paths['facerender_yaml'] = os.path.join(config_dir, 'facerender_still.yaml') + else: + sadtalker_paths['mappingnet_checkpoint'] = os.path.join(checkpoint_dir, 'mapping_00229-model.pth.tar') + sadtalker_paths['facerender_yaml'] = os.path.join(config_dir, 'facerender.yaml') + + # sadtalker_paths['mappingnet_checkpoint'] = os.path.join(checkpoint_dir, 'mapping_00229-model.pth.tar') + # sadtalker_paths['facerender_yaml'] = os.path.join(config_dir, 'facerender.yaml') + + return sadtalker_paths \ No newline at end of file diff --git a/src/utils/model2safetensor.py b/src/utils/model2safetensor.py new file mode 100644 index 0000000000000000000000000000000000000000..50c485000d43ba9c230a0bc64ce8aeaaec6e2b29 --- /dev/null +++ b/src/utils/model2safetensor.py @@ -0,0 +1,141 @@ +import torch +import yaml +import os + +import safetensors +from safetensors.torch import save_file +from yacs.config import CfgNode as CN +import sys + +sys.path.append('/apdcephfs/private_shadowcun/SadTalker') + +from src.face3d.models import networks + +from src.facerender.modules.keypoint_detector import HEEstimator, KPDetector +from src.facerender.modules.mapping import MappingNet +from src.facerender.modules.generator import OcclusionAwareGenerator, OcclusionAwareSPADEGenerator + +from src.audio2pose_models.audio2pose import Audio2Pose +from src.audio2exp_models.networks import SimpleWrapperV2 +from src.test_audio2coeff import load_cpk + +size = 256 +############ face vid2vid +config_path = os.path.join('src', 'config', 'facerender.yaml') +current_root_path = '.' + +path_of_net_recon_model = os.path.join(current_root_path, 'checkpoints', 'epoch_20.pth') +net_recon = networks.define_net_recon(net_recon='resnet50', use_last_fc=False, init_path='') +checkpoint = torch.load(path_of_net_recon_model, map_location='cpu') +net_recon.load_state_dict(checkpoint['net_recon']) + +with open(config_path) as f: + config = yaml.safe_load(f) + +generator = OcclusionAwareSPADEGenerator(**config['model_params']['generator_params'], + **config['model_params']['common_params']) +kp_extractor = KPDetector(**config['model_params']['kp_detector_params'], + **config['model_params']['common_params']) +he_estimator = HEEstimator(**config['model_params']['he_estimator_params'], + **config['model_params']['common_params']) +mapping = MappingNet(**config['model_params']['mapping_params']) + +def load_cpk_facevid2vid(checkpoint_path, generator=None, discriminator=None, + kp_detector=None, he_estimator=None, optimizer_generator=None, + optimizer_discriminator=None, optimizer_kp_detector=None, + optimizer_he_estimator=None, device="cpu"): + + checkpoint = torch.load(checkpoint_path, map_location=torch.device(device)) + if generator is not None: + generator.load_state_dict(checkpoint['generator']) + if kp_detector is not None: + kp_detector.load_state_dict(checkpoint['kp_detector']) + if he_estimator is not None: + he_estimator.load_state_dict(checkpoint['he_estimator']) + if discriminator is not None: + try: + discriminator.load_state_dict(checkpoint['discriminator']) + except: + print ('No discriminator in the state-dict. Dicriminator will be randomly initialized') + if optimizer_generator is not None: + optimizer_generator.load_state_dict(checkpoint['optimizer_generator']) + if optimizer_discriminator is not None: + try: + optimizer_discriminator.load_state_dict(checkpoint['optimizer_discriminator']) + except RuntimeError as e: + print ('No discriminator optimizer in the state-dict. Optimizer will be not initialized') + if optimizer_kp_detector is not None: + optimizer_kp_detector.load_state_dict(checkpoint['optimizer_kp_detector']) + if optimizer_he_estimator is not None: + optimizer_he_estimator.load_state_dict(checkpoint['optimizer_he_estimator']) + + return checkpoint['epoch'] + + +def load_cpk_facevid2vid_safetensor(checkpoint_path, generator=None, + kp_detector=None, he_estimator=None, + device="cpu"): + + checkpoint = safetensors.torch.load_file(checkpoint_path) + + if generator is not None: + x_generator = {} + for k,v in checkpoint.items(): + if 'generator' in k: + x_generator[k.replace('generator.', '')] = v + generator.load_state_dict(x_generator) + if kp_detector is not None: + x_generator = {} + for k,v in checkpoint.items(): + if 'kp_extractor' in k: + x_generator[k.replace('kp_extractor.', '')] = v + kp_detector.load_state_dict(x_generator) + if he_estimator is not None: + x_generator = {} + for k,v in checkpoint.items(): + if 'he_estimator' in k: + x_generator[k.replace('he_estimator.', '')] = v + he_estimator.load_state_dict(x_generator) + + return None + +free_view_checkpoint = '/apdcephfs/private_shadowcun/SadTalker/checkpoints/facevid2vid_'+str(size)+'-model.pth.tar' +load_cpk_facevid2vid(free_view_checkpoint, kp_detector=kp_extractor, generator=generator, he_estimator=he_estimator) + +wav2lip_checkpoint = os.path.join(current_root_path, 'checkpoints', 'wav2lip.pth') + +audio2pose_checkpoint = os.path.join(current_root_path, 'checkpoints', 'auido2pose_00140-model.pth') +audio2pose_yaml_path = os.path.join(current_root_path, 'src', 'config', 'auido2pose.yaml') + +audio2exp_checkpoint = os.path.join(current_root_path, 'checkpoints', 'auido2exp_00300-model.pth') +audio2exp_yaml_path = os.path.join(current_root_path, 'src', 'config', 'auido2exp.yaml') + +fcfg_pose = open(audio2pose_yaml_path) +cfg_pose = CN.load_cfg(fcfg_pose) +cfg_pose.freeze() +audio2pose_model = Audio2Pose(cfg_pose, wav2lip_checkpoint) +audio2pose_model.eval() +load_cpk(audio2pose_checkpoint, model=audio2pose_model, device='cpu') + +# load audio2exp_model +netG = SimpleWrapperV2() +netG.eval() +load_cpk(audio2exp_checkpoint, model=netG, device='cpu') + +class SadTalker(torch.nn.Module): + def __init__(self, kp_extractor, generator, netG, audio2pose, face_3drecon): + super(SadTalker, self).__init__() + self.kp_extractor = kp_extractor + self.generator = generator + self.audio2exp = netG + self.audio2pose = audio2pose + self.face_3drecon = face_3drecon + + +model = SadTalker(kp_extractor, generator, netG, audio2pose_model, net_recon) + +# here, we want to convert it to safetensor +save_file(model.state_dict(), "checkpoints/SadTalker_V0.0.2_"+str(size)+".safetensors") + +### test +load_cpk_facevid2vid_safetensor('checkpoints/SadTalker_V0.0.2_'+str(size)+'.safetensors', kp_detector=kp_extractor, generator=generator, he_estimator=None) \ No newline at end of file diff --git a/src/utils/paste_pic.py b/src/utils/paste_pic.py new file mode 100644 index 0000000000000000000000000000000000000000..f9989e21e48e64f620f9b148e65fdfe806c53b14 --- /dev/null +++ b/src/utils/paste_pic.py @@ -0,0 +1,69 @@ +import cv2, os +import numpy as np +from tqdm import tqdm +import uuid + +from src.utils.videoio import save_video_with_watermark + +def paste_pic(video_path, pic_path, crop_info, new_audio_path, full_video_path, extended_crop=False): + + if not os.path.isfile(pic_path): + raise ValueError('pic_path must be a valid path to video/image file') + elif pic_path.split('.')[-1] in ['jpg', 'png', 'jpeg']: + # loader for first frame + full_img = cv2.imread(pic_path) + else: + # loader for videos + video_stream = cv2.VideoCapture(pic_path) + fps = video_stream.get(cv2.CAP_PROP_FPS) + full_frames = [] + while 1: + still_reading, frame = video_stream.read() + if not still_reading: + video_stream.release() + break + break + full_img = frame + frame_h = full_img.shape[0] + frame_w = full_img.shape[1] + + video_stream = cv2.VideoCapture(video_path) + fps = video_stream.get(cv2.CAP_PROP_FPS) + crop_frames = [] + while 1: + still_reading, frame = video_stream.read() + if not still_reading: + video_stream.release() + break + crop_frames.append(frame) + + if len(crop_info) != 3: + print("you didn't crop the image") + return + else: + r_w, r_h = crop_info[0] + clx, cly, crx, cry = crop_info[1] + lx, ly, rx, ry = crop_info[2] + lx, ly, rx, ry = int(lx), int(ly), int(rx), int(ry) + # oy1, oy2, ox1, ox2 = cly+ly, cly+ry, clx+lx, clx+rx + # oy1, oy2, ox1, ox2 = cly+ly, cly+ry, clx+lx, clx+rx + + if extended_crop: + oy1, oy2, ox1, ox2 = cly, cry, clx, crx + else: + oy1, oy2, ox1, ox2 = cly+ly, cly+ry, clx+lx, clx+rx + + tmp_path = str(uuid.uuid4())+'.mp4' + out_tmp = cv2.VideoWriter(tmp_path, cv2.VideoWriter_fourcc(*'MP4V'), fps, (frame_w, frame_h)) + for crop_frame in tqdm(crop_frames, 'seamlessClone:'): + p = cv2.resize(crop_frame.astype(np.uint8), (ox2-ox1, oy2 - oy1)) + + mask = 255*np.ones(p.shape, p.dtype) + location = ((ox1+ox2) // 2, (oy1+oy2) // 2) + gen_img = cv2.seamlessClone(p, full_img, mask, location, cv2.NORMAL_CLONE) + out_tmp.write(gen_img) + + out_tmp.release() + + save_video_with_watermark(tmp_path, new_audio_path, full_video_path, watermark=False) + os.remove(tmp_path) diff --git a/src/utils/preprocess.py b/src/utils/preprocess.py new file mode 100644 index 0000000000000000000000000000000000000000..0f784e6c3d8562e1db1bbd850b9f01843cee3c97 --- /dev/null +++ b/src/utils/preprocess.py @@ -0,0 +1,170 @@ +import numpy as np +import cv2, os, sys, torch +from tqdm import tqdm +from PIL import Image + +# 3dmm extraction +import safetensors +import safetensors.torch +from src.face3d.util.preprocess import align_img +from src.face3d.util.load_mats import load_lm3d +from src.face3d.models import networks + +from scipy.io import loadmat, savemat +from src.utils.croper import Preprocesser + + +import warnings + +from src.utils.safetensor_helper import load_x_from_safetensor +warnings.filterwarnings("ignore") + +def split_coeff(coeffs): + """ + Return: + coeffs_dict -- a dict of torch.tensors + + Parameters: + coeffs -- torch.tensor, size (B, 256) + """ + id_coeffs = coeffs[:, :80] + exp_coeffs = coeffs[:, 80: 144] + tex_coeffs = coeffs[:, 144: 224] + angles = coeffs[:, 224: 227] + gammas = coeffs[:, 227: 254] + translations = coeffs[:, 254:] + return { + 'id': id_coeffs, + 'exp': exp_coeffs, + 'tex': tex_coeffs, + 'angle': angles, + 'gamma': gammas, + 'trans': translations + } + + +class CropAndExtract(): + def __init__(self, sadtalker_path, device): + + self.propress = Preprocesser(device) + self.net_recon = networks.define_net_recon(net_recon='resnet50', use_last_fc=False, init_path='').to(device) + + if sadtalker_path['use_safetensor']: + checkpoint = safetensors.torch.load_file(sadtalker_path['checkpoint']) + self.net_recon.load_state_dict(load_x_from_safetensor(checkpoint, 'face_3drecon')) + else: + checkpoint = torch.load(sadtalker_path['path_of_net_recon_model'], map_location=torch.device(device)) + self.net_recon.load_state_dict(checkpoint['net_recon']) + + self.net_recon.eval() + self.lm3d_std = load_lm3d(sadtalker_path['dir_of_BFM_fitting']) + self.device = device + + def generate(self, input_path, save_dir, crop_or_resize='crop', source_image_flag=False, pic_size=256): + + pic_name = os.path.splitext(os.path.split(input_path)[-1])[0] + + landmarks_path = os.path.join(save_dir, pic_name+'_landmarks.txt') + coeff_path = os.path.join(save_dir, pic_name+'.mat') + png_path = os.path.join(save_dir, pic_name+'.png') + + #load input + if not os.path.isfile(input_path): + raise ValueError('input_path must be a valid path to video/image file') + elif input_path.split('.')[-1] in ['jpg', 'png', 'jpeg']: + # loader for first frame + full_frames = [cv2.imread(input_path)] + fps = 25 + else: + # loader for videos + video_stream = cv2.VideoCapture(input_path) + fps = video_stream.get(cv2.CAP_PROP_FPS) + full_frames = [] + while 1: + still_reading, frame = video_stream.read() + if not still_reading: + video_stream.release() + break + full_frames.append(frame) + if source_image_flag: + break + + x_full_frames= [cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) for frame in full_frames] + + #### crop images as the + if 'crop' in crop_or_resize.lower(): # default crop + x_full_frames, crop, quad = self.propress.crop(x_full_frames, still=True if 'ext' in crop_or_resize.lower() else False, xsize=512) + clx, cly, crx, cry = crop + lx, ly, rx, ry = quad + lx, ly, rx, ry = int(lx), int(ly), int(rx), int(ry) + oy1, oy2, ox1, ox2 = cly+ly, cly+ry, clx+lx, clx+rx + crop_info = ((ox2 - ox1, oy2 - oy1), crop, quad) + elif 'full' in crop_or_resize.lower(): + x_full_frames, crop, quad = self.propress.crop(x_full_frames, still=True if 'ext' in crop_or_resize.lower() else False, xsize=512) + clx, cly, crx, cry = crop + lx, ly, rx, ry = quad + lx, ly, rx, ry = int(lx), int(ly), int(rx), int(ry) + oy1, oy2, ox1, ox2 = cly+ly, cly+ry, clx+lx, clx+rx + crop_info = ((ox2 - ox1, oy2 - oy1), crop, quad) + else: # resize mode + oy1, oy2, ox1, ox2 = 0, x_full_frames[0].shape[0], 0, x_full_frames[0].shape[1] + crop_info = ((ox2 - ox1, oy2 - oy1), None, None) + + frames_pil = [Image.fromarray(cv2.resize(frame,(pic_size, pic_size))) for frame in x_full_frames] + if len(frames_pil) == 0: + print('No face is detected in the input file') + return None, None + + # save crop info + for frame in frames_pil: + cv2.imwrite(png_path, cv2.cvtColor(np.array(frame), cv2.COLOR_RGB2BGR)) + + # 2. get the landmark according to the detected face. + if not os.path.isfile(landmarks_path): + lm = self.propress.predictor.extract_keypoint(frames_pil, landmarks_path) + else: + print(' Using saved landmarks.') + lm = np.loadtxt(landmarks_path).astype(np.float32) + lm = lm.reshape([len(x_full_frames), -1, 2]) + + if not os.path.isfile(coeff_path): + # load 3dmm paramter generator from Deep3DFaceRecon_pytorch + video_coeffs, full_coeffs = [], [] + for idx in tqdm(range(len(frames_pil)), desc='3DMM Extraction In Video:'): + frame = frames_pil[idx] + W,H = frame.size + lm1 = lm[idx].reshape([-1, 2]) + + if np.mean(lm1) == -1: + lm1 = (self.lm3d_std[:, :2]+1)/2. + lm1 = np.concatenate( + [lm1[:, :1]*W, lm1[:, 1:2]*H], 1 + ) + else: + lm1[:, -1] = H - 1 - lm1[:, -1] + + trans_params, im1, lm1, _ = align_img(frame, lm1, self.lm3d_std) + + trans_params = np.array([float(item) for item in np.hsplit(trans_params, 5)]).astype(np.float32) + im_t = torch.tensor(np.array(im1)/255., dtype=torch.float32).permute(2, 0, 1).to(self.device).unsqueeze(0) + + with torch.no_grad(): + full_coeff = self.net_recon(im_t) + coeffs = split_coeff(full_coeff) + + pred_coeff = {key:coeffs[key].cpu().numpy() for key in coeffs} + + pred_coeff = np.concatenate([ + pred_coeff['exp'], + pred_coeff['angle'], + pred_coeff['trans'], + trans_params[2:][None], + ], 1) + video_coeffs.append(pred_coeff) + full_coeffs.append(full_coeff.cpu().numpy()) + + semantic_npy = np.array(video_coeffs)[:,0] + + savemat(coeff_path, {'coeff_3dmm': semantic_npy, 'full_3dmm': np.array(full_coeffs)[0]}) + + return coeff_path, png_path, crop_info diff --git a/src/utils/safetensor_helper.py b/src/utils/safetensor_helper.py new file mode 100644 index 0000000000000000000000000000000000000000..3cdbdd21e4ed656dfe2d31a57360afb3e96480b3 --- /dev/null +++ b/src/utils/safetensor_helper.py @@ -0,0 +1,8 @@ + + +def load_x_from_safetensor(checkpoint, key): + x_generator = {} + for k,v in checkpoint.items(): + if key in k: + x_generator[k.replace(key+'.', '')] = v + return x_generator \ No newline at end of file diff --git a/src/utils/text2speech.py b/src/utils/text2speech.py new file mode 100644 index 0000000000000000000000000000000000000000..00d165b6cc7774fd200929aafa0ff3b15916111e --- /dev/null +++ b/src/utils/text2speech.py @@ -0,0 +1,20 @@ +import os +import tempfile +from TTS.api import TTS + + +class TTSTalker(): + def __init__(self) -> None: + model_name = TTS.list_models()[0] + self.tts = TTS(model_name) + + def test(self, text, language='en'): + + tempf = tempfile.NamedTemporaryFile( + delete = False, + suffix = ('.'+'wav'), + ) + + self.tts.tts_to_file(text, speaker=self.tts.speakers[0], language=language, file_path=tempf.name) + + return tempf.name \ No newline at end of file diff --git a/src/utils/utils.py b/src/utils/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..2da3f7dfa7a0bcb6d6b6d8aee81f5d68b859bbc8 --- /dev/null +++ b/src/utils/utils.py @@ -0,0 +1,128 @@ +import cv2 +import numpy as np +from skimage import transform as trans + + +arcface_src = np.array([[38.2946, 51.6963], + [73.5318, 51.5014], + [56.0252, 71.7366], + [41.5493, 92.3655], + [70.7299, 92.2041]], dtype=np.float32) +arcface_src = np.expand_dims(arcface_src, axis=0) + + +def estimate_norm(lmk, face_size, dst_face_size, expand_size): + assert lmk.shape == (5, 2) + tform = trans.SimilarityTransform() + lmk_tran = np.insert(lmk, 2, values=np.ones(5), axis=1) + min_M = [] + min_index = [] + min_error = float('inf') + + assert face_size == 112 + src = (arcface_src / face_size * dst_face_size) + (expand_size - dst_face_size) / 2 + + for i in np.arange(src.shape[0]): + tform.estimate(lmk, src[i]) + M = tform.params[0:2, :] + results = np.dot(M, lmk_tran.T) + results = results.T + error = np.sum(np.sqrt(np.sum((results - src[i]) ** 2, axis=1))) + + if error < min_error: + min_error = error + min_M = M + min_index = i + return min_M, min_index + + +def metrix_M(face_size, expand_size, keypoints=None): + id_size = 112 + detected_lmk = np.concatenate(keypoints).reshape(5, 2) + M, _ = estimate_norm(detected_lmk, id_size, face_size, expand_size) + Minv = np.identity(3, dtype=np.single) + Minv[0:2, :] = M + M = Minv[0:2, :] + return M + + +def decompose_tfm(tfm): + tfm = tfm.copy() + s_x = np.sqrt(tfm[0][0] ** 2 + tfm[0][1] ** 2) + s_y = np.sqrt(tfm[1][0] ** 2 + tfm[1][1] ** 2) + + t_x = tfm[0][2] + t_y = tfm[1][2] + + #平移旋转矩阵rt + rt = np.array([ + [tfm[0][0] / s_x, tfm[0][1] / s_x, t_x / s_x], + [tfm[1][0] / s_y, tfm[1][1] / s_y, t_y / s_y], + ]) + + #缩放矩阵s + s = np.array([ + [s_x, 0, 0], + [0, s_y, 0] + ]) + + # _rt = np.vstack([rt, [[0, 0, 1]]]) + # _s = np.vstack([s, [[0, 0, 1]]]) + # print(np.dot(_s, _rt)[:2] - tfm) + + return rt, s + + +def img_warp(img, M, expand_size, adjust=0): + warped = cv2.warpAffine(img, M, (expand_size, expand_size)) + warped = warped - np.uint8(adjust) + warped = np.clip(warped, 0, 255) + return warped + + +def img_warp_back_inv_m(img, img_to, inv_m): + h_up, w_up, c = img_to.shape + + mask = np.ones_like(img).astype(np.float32) + inv_mask = cv2.warpAffine(mask, inv_m, (w_up, h_up)) + inv_img = cv2.warpAffine(img, inv_m, (w_up, h_up)) + + img_to[inv_mask == 1] = inv_img[inv_mask == 1] + return img_to + + +def get_video_fps(vfile): + cap = cv2.VideoCapture(vfile) + fps = cap.get(cv2.CAP_PROP_FPS) + cap.release() + return fps + + +class laplacianSmooth(object): + + def __init__(self, smoothAlpha=0.3): + self.smoothAlpha = smoothAlpha + self.pts_last = None + + def smooth(self, pts_cur): + if self.pts_last is None: + self.pts_last = pts_cur.copy() + return pts_cur.copy() + x1 = min(pts_cur[:, 0]) + x2 = max(pts_cur[:, 0]) + y1 = min(pts_cur[:, 1]) + y2 = max(pts_cur[:, 1]) + width = x2 - x1 + pts_update = [] + for i in range(len(pts_cur)): + x_new, y_new = pts_cur[i] + x_old, y_old = self.pts_last[i] + tmp = (x_new - x_old) ** 2 + (y_new - y_old) ** 2 + w = np.exp(-tmp / (width * self.smoothAlpha)) + x = x_old * w + x_new * (1 - w) + y = y_old * w + y_new * (1 - w) + pts_update.append([x, y]) + pts_update = np.array(pts_update) + self.pts_last = pts_update.copy() + + return pts_update diff --git a/src/utils/videoio.py b/src/utils/videoio.py new file mode 100644 index 0000000000000000000000000000000000000000..7f1e04e322eed539cd1e6088d072d7cb9ade0535 --- /dev/null +++ b/src/utils/videoio.py @@ -0,0 +1,31 @@ +import shutil +import uuid +import subprocess +import os + +import cv2 + +def load_video_to_cv2(input_path): + video_stream = cv2.VideoCapture(input_path) + fps = video_stream.get(cv2.CAP_PROP_FPS) + full_frames = [] + while 1: + still_reading, frame = video_stream.read() + if not still_reading: + video_stream.release() + break + full_frames.append(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)) + return full_frames + +def save_video_with_watermark(video, audio, save_path, watermark=False): + temp_file = str(uuid.uuid4())+'.mp4' + # os.system(cmd) + try: + cmd = r'ffmpeg -y -hide_banner -loglevel error -i "%s" -i "%s" -vcodec h264 "%s"' % (video, audio, temp_file) + subprocess.run(cmd, shell=True, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) + except: + cmd = r'ffmpeg -y -hide_banner -loglevel error -i "%s" -i "%s" -vcodec copy "%s"' % (video, audio, temp_file) + subprocess.run(cmd, shell=True, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) + if not os.path.exists(temp_file): + print("FFmpeg error") + shutil.move(temp_file, save_path) \ No newline at end of file diff --git a/tempface.mp4 b/tempface.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..bf1eb5304d996a754844ab4c8501284b0f664694 Binary files /dev/null and b/tempface.mp4 differ diff --git a/webui.py b/webui.py new file mode 100644 index 0000000000000000000000000000000000000000..aa2d2e8ae2b2ac1bdd76be5adfe88777b6665253 --- /dev/null +++ b/webui.py @@ -0,0 +1,992 @@ +import os +import random +import gradio as gr +import numpy as np +import time +import torch, torchaudio +import gc +import warnings +warnings.filterwarnings('ignore') +from zhconv import convert +from LLM import LLM +from TTS import EdgeTTS +from src.cost_time import calculate_time + +from configs import * +os.environ["GRADIO_TEMP_DIR"]= './temp' +os.environ["WEBUI"] = "true" +def get_title(title = 'Linly 智能对话系统 (Linly-Talker)'): + description = f""" +

+ {title} +
+ + [知乎] + [bilibili] + [GitHub] + [个人主页] + +
+ Linly-Talker是一款创新的数字人对话系统，它融合了最新的人工智能技术，包括大型语言模型（LLM）🤖、自动语音识别（ASR）🎙️、文本到语音转换（TTS）🗣️和语音克隆技术🎤。 +

+ """ + return description + +# Default system and prompt settings +DEFAULT_SYSTEM = '你是一个很有帮助的助手' +PREFIX_PROMPT = '请用少于25个字回答以下问题\n\n' +# Default parameters +IMAGE_SIZE = 256 +PREPROCESS_TYPE = 'crop' +FACERENDER = 'facevid2vid' +ENHANCER = False +IS_STILL_MODE = False +EXP_WEIGHT = 1 +USE_REF_VIDEO = False +REF_VIDEO = None +REF_INFO = 'pose' +USE_IDLE_MODE = False +AUDIO_LENGTH = 5 + +edgetts = EdgeTTS() + +@calculate_time +def Asr(audio): + try: + question = asr.transcribe(audio) + question = convert(question, 'zh-cn') + except Exception as e: + gr.Warning("ASR Error: ", e) + question = 'Gradio存在一些bug，麦克风模式有时候可能音频还未传入，请重新点击一下语音识别即可' + return question + +def clear_memory(): + """ + 清理PyTorch的显存和系统内存缓存。 + """ + # 1. 清理缓存的变量 + gc.collect() # 触发Python垃圾回收 + torch.cuda.empty_cache() # 清理PyTorch的显存缓存 + torch.cuda.ipc_collect() # 清理PyTorch的跨进程通信缓存 + + # 2. 打印显存使用情况（可选） + print(f"Memory allocated: {torch.cuda.memory_allocated() / (1024 ** 2):.2f} MB") + print(f"Max memory allocated: {torch.cuda.max_memory_allocated() / (1024 ** 2):.2f} MB") + print(f"Cached memory: {torch.cuda.memory_reserved() / (1024 ** 2):.2f} MB") + print(f"Max cached memory: {torch.cuda.max_memory_reserved() / (1024 ** 2):.2f} MB") + +def generate_seed(): + seed = random.randint(1, 100000000) + return {"__type__": "update", "value": seed} + +def set_all_random_seed(seed): + random.seed(seed) + np.random.seed(seed) + torch.manual_seed(seed) + torch.cuda.manual_seed_all(seed) + +def change_instruction(mode): + return instruct_dict.get(mode, '未知模式') + +PROMPT_SR, TARGET_SR = 16000, 22050 +DEFAULT_DATA = np.zeros(TARGET_SR) + +@calculate_time +def TTS_response(text, voice, rate, volume, pitch, am, voc, lang, male, + ref_audio, prompt_text, prompt_language, text_language, + cut_method, question_audio, question, use_mic_voice, + mode_checkbox_group, sft_dropdown, prompt_text_cv, prompt_wav_upload, prompt_wav_record, seed, speed_factor, + tts_method='Edge-TTS', save_path='answer.wav'): + if text == '': + text = '请输入文字/问题' + if tts_method == 'Edge-TTS': + if not edgetts.network: + gr.Warning("请检查网络或使用其他模型，例如PaddleTTS") + return None + try: + edgetts.predict(text, voice, rate, volume, pitch, save_path, 'answer.vtt') + except Exception as e: + os.system(f'edge-tts --text "{text}" --voice {voice} --write-media {save_path} --write-subtitles answer.vtt') + return save_path + + if tts_method == 'PaddleTTS': + tts.predict(text, am, voc, lang=lang, male=male, save_path=save_path) + return save_path + + if tts_method == 'GPT-SoVITS克隆声音': + try: + vits.predict(ref_wav_path=question_audio if use_mic_voice else ref_audio, + prompt_text=question if use_mic_voice else prompt_text, + prompt_language=prompt_language, + text=text, + text_language=text_language, + how_to_cut=cut_method, + save_path=save_path) + return save_path + except Exception as e: + gr.Warning("无克隆环境或模型权重，无法克隆声音", e) + return None + elif "CosyVoice" in tts_method: + if prompt_wav_upload is not None: + prompt_wav = prompt_wav_upload + elif prompt_wav_record is not None: + prompt_wav = prompt_wav_record + else: + prompt_wav = None + if mode_checkbox_group in ['跨语种复刻']: + if prompt_wav is None: + gr.Warning('您正在使用跨语种复刻模式, 请提供prompt音频') + return (TARGET_SR, DEFAULT_DATA) + gr.Info('您正在使用跨语种复刻模式, 请确保合成文本和prompt文本为不同语言') + # if in zero_shot cross_lingual, please make sure that prompt_text and prompt_wav meets requirements + if mode_checkbox_group in ['3s极速复刻', '跨语种复刻']: + if prompt_wav is None: + gr.Warning('prompt音频为空，您是否忘记输入prompt音频？') + return (TARGET_SR, DEFAULT_DATA) + if torchaudio.info(prompt_wav).sample_rate < PROMPT_SR: + gr.Warning('prompt音频采样率{}低于{}'.format(torchaudio.info(prompt_wav).sample_rate, PROMPT_SR)) + return (TARGET_SR, DEFAULT_DATA) + # sft mode only use sft_dropdown + if mode_checkbox_group in ['预训练音色']: + if prompt_wav is not None or prompt_text_cv != '': + gr.Info('您正在使用预训练音色模式，prompt文本/prompt音频/instruct文本会被忽略！') + # zero_shot mode only use prompt_wav prompt text + if mode_checkbox_group in ['3s极速复刻']: + if prompt_text_cv == '': + gr.Warning('prompt文本为空，您是否忘记输入prompt文本？') + return (TARGET_SR, DEFAULT_DATA) + # if instruct_text != '': + # gr.Info('您正在使用3s极速复刻模式，预训练音色/instruct文本会被忽略！') + + if mode_checkbox_group == '预训练音色': + set_all_random_seed(seed) + output = cosyvoice.predict_sft(text, sft_dropdown, speed_factor=speed_factor, save_path=save_path) + elif mode_checkbox_group == '3s极速复刻': + set_all_random_seed(seed) + output = cosyvoice.predict_zero_shot(text, prompt_text_cv, prompt_wav, speed_factor=speed_factor, save_path=save_path) + elif mode_checkbox_group == '跨语种复刻': + set_all_random_seed(seed) + output = cosyvoice.predict_cross_lingual(text, prompt_wav, speed_factor=speed_factor, save_path=save_path) + return output + else: + gr.Warning('未知模型') + return None + +inference_mode_list = ['预训练音色', '3s极速复刻', '跨语种复刻'] +instruct_dict = {'预训练音色': '1. 选择预训练音色\n2. 点击生成音频按钮', + '3s极速复刻': '1. 选择prompt音频文件，或录入prompt音频，注意不超过30s，若同时提供，优先选择prompt音频文件\n2. 输入prompt文本\n3. 点击生成音频按钮', + '跨语种复刻': '1. 选择prompt音频文件，或录入prompt音频，注意不超过30s，若同时提供，优先选择prompt音频文件\n2. 点击生成音频按钮', + '自然语言控制': '1. 选择预训练音色\n2. 输入instruct文本\n3. 点击生成音频按钮'} + + +@calculate_time +def LLM_response( + question_audio, question, # 输入的音频和文本问题 + voice, rate, volume, pitch, # 语音合成参数 + am, voc, lang, male, # TTS 模型参数 + ref_audio, prompt_text, prompt_language, text_language, # 提示音频、文本及其语言设置 + cut_method, use_mic_voice, mode_checkbox_group, sft_dropdown, # 其他TTS选项 + prompt_text_cv, prompt_wav_upload, prompt_wav_record, # 提示信息和音频选项 + seed, speed_factor, # 随机种子和语速因子 + tts_method='Edge-TTS' # TTS 方法，默认使用 'Edge-TTS' +): + if len(question) == 0: + gr.Warning("请输入问题") + return None, None, None + + # 生成回答 + answer = llm.generate(question, DEFAULT_SYSTEM) + print("LLM 回复：", answer) + + # 合成回答语音 + tts_audio = TTS_response( + answer, voice, rate, volume, pitch, am, voc, lang, male, + ref_audio, prompt_text, prompt_language, text_language, + cut_method, question_audio, question, use_mic_voice, + mode_checkbox_group, sft_dropdown, prompt_text_cv, prompt_wav_upload, + prompt_wav_record, seed, speed_factor, tts_method + ) + + # 生成VTT文件（如果TTS方法为'Edge-TTS'） + tts_vtt = 'answer.vtt' if tts_method == 'Edge-TTS' else None + + return tts_audio, tts_vtt, answer + +@calculate_time +def Talker_response_img(question_audio, method, text, voice, rate, volume, pitch, + am, voc, lang, male, inp_ref, prompt_text, prompt_language, + text_language, how_to_cut, use_mic_voice, + mode_checkbox_group, sft_dropdown, prompt_text_cv, prompt_wav_upload, prompt_wav_record, seed, speed_factor, + tts_method, source_image, preprocess_type, is_still_mode, enhancer, + batch_size, size_of_image, pose_style, facerender, + exp_weight, blink_every, fps, progress=gr.Progress(track_tqdm=True)): + + if enhancer: + gr.Warning("请先安装GFPGAN库 (pip install gfpgan)，已安装可忽略") + + if not voice: + gr.Warning("请选择声音") + return None + driven_audio, driven_vtt, _ = LLM_response(question_audio, text, voice, rate, volume, pitch, + am, voc, lang, male, inp_ref, prompt_text, prompt_language, + text_language, how_to_cut, use_mic_voice, + mode_checkbox_group, sft_dropdown, prompt_text_cv, prompt_wav_upload, prompt_wav_record, seed, speed_factor, tts_method) + + if driven_audio is None: + gr.Warning("音频没有正常生成，请检查TTS是否正确") + return None + + # 视频生成 + video = None + if method == 'SadTalker': + video = talker.test2(source_image, driven_audio, preprocess_type, is_still_mode, enhancer, + batch_size, size_of_image, pose_style, facerender, exp_weight, + REF_VIDEO, REF_INFO, USE_IDLE_MODE, AUDIO_LENGTH, blink_every, + fps=fps) + elif method == 'Wav2Lip': + video = talker.predict(source_image, driven_audio, batch_size) + elif method == 'Wav2Lipv2': + video = talker.run(source_image, driven_audio, batch_size) + elif method == 'NeRFTalk': + video = talker.predict(driven_audio) + else: + gr.Warning("不支持的方法：" + method) + return None + + return (video, driven_vtt) if driven_vtt else video + +def chat_response(system, message, history): + # response = llm.generate(message) + response, history = llm.chat(system, message, history) + print(history) + # 流式输出 + for i in range(len(response)): + time.sleep(0.01) + yield "", history[:-1] + [(message, response[:i+1])] + return "", history + +def modify_system_session(system: str) -> str: + if system is None or len(system) == 0: + system = default_system + llm.clear_history() + return system, system, [] + +def clear_session(): + # clear history + llm.clear_history() + return '', [] + + +def human_response(source_image, history, question_audio, talker_method, voice, rate, volume, pitch, + am, voc, lang, male, inp_ref, prompt_text, prompt_language, text_language, cut_method, use_mic_voice, + mode_checkbox_group, sft_dropdown, prompt_text_cv, prompt_wav_upload, prompt_wav_record, seed, speed_factor, + tts_method, character, preprocess_type, is_still_mode, + enhancer, batch_size, size_of_image, pose_style, facerender, exp_weight, + blink_every, fps=20, progress=gr.Progress(track_tqdm=True)): + response = history[-1][1] + question = history[-1][0] + + # 角色信息设置 + if character == '女性角色': + source_image = pic_path = crop_pic_path = first_coeff_path = r'./inputs/girl.png' + crop_info = ((403, 403), (19, 30, 502, 513), [40.06, 40.17, 443.79, 443.90]) + default_voice = 'zh-CN-XiaoxiaoNeural' + elif character == '男性角色': + source_image = pic_path = crop_pic_path = first_coeff_path = r'./inputs/boy.png' + crop_info = ((876, 747), (0, 0, 886, 838), [10.38, 0, 886, 747.71]) + default_voice = 'zh-CN-YunyangNeural' + elif character == '自定义角色': + if source_image is None: + gr.Error("自定义角色需要上传正确的图片") + return None + default_voice = 'zh-CN-XiaoxiaoNeural' + else: + gr.Error("未知角色") + return None + + voice = default_voice if not voice else voice + + # TTS响应生成 + driven_audio = TTS_response(response, voice, rate, volume, pitch, am, voc, lang, male, + inp_ref, prompt_text, prompt_language, text_language, + cut_method, question_audio, question, use_mic_voice, + mode_checkbox_group, sft_dropdown, prompt_text_cv, prompt_wav_upload, prompt_wav_record, seed, speed_factor,tts_method) + driven_vtt = 'answer.vtt' if tts_method == 'Edge-TTS' else None + if driven_audio is None: + gr.Warning("音频没有正常生成，请检查TTS是否正确") + return None + + # 视频生成 + video = None + if talker_method == 'SadTalker': + pose_style = random.randint(0, 45) + video = talker.test2(source_image, driven_audio, preprocess_type, is_still_mode, enhancer, + batch_size, size_of_image, pose_style, facerender, exp_weight, + REF_VIDEO, REF_INFO, USE_IDLE_MODE, AUDIO_LENGTH, blink_every, + fps=fps) + elif talker_method == 'Wav2Lip': + video = talker.predict(crop_pic_path, driven_audio, batch_size, enhancer) + elif talker_method == 'Wav2Lipv2': + video = talker.run(crop_pic_path, driven_audio, batch_size, enhancer) + elif talker_method == 'NeRFTalk': + video = talker.predict(driven_audio) + else: + gr.Warning("不支持的方法：" + talker_method) + return None + + return video, driven_vtt if driven_vtt else video + + +@calculate_time +def MuseTalker_response(source_video, bbox_shift, question_audio, text, voice, + rate, volume, pitch, am, voc, lang, male, + ref_audio, prompt_text, prompt_language, text_language, cut_method, use_mic_voice, + mode_checkbox_group, sft_dropdown, prompt_text_cv, prompt_wav_upload, prompt_wav_record, seed, speed_factor, + tts_method='Edge-TTS', batch_size=4, progress=gr.Progress(track_tqdm=True)): + default_voice = None + voice = default_voice if not voice else voice + + if not voice: + gr.Warning('请选择声音') + return None + + # LLM响应生成 + driven_audio, driven_vtt, _ = LLM_response(question_audio, text, voice, rate, volume, pitch, + am, voc, lang, male, ref_audio, prompt_text, prompt_language, + text_language, cut_method, use_mic_voice, + mode_checkbox_group, sft_dropdown, prompt_text_cv, prompt_wav_upload, prompt_wav_record, seed, speed_factor, + tts_method) + + if driven_audio is None: + gr.Warning("音频没有正常生成，请检查TTS是否正确") + return None + + # MuseTalker 视频生成 + video = musetalker.inference_noprepare(driven_audio, source_video, bbox_shift, batch_size, fps=25) + + return video, driven_vtt if driven_vtt else video + +GPT_SoVITS_ckpt = "GPT_SoVITS/pretrained_models" +def load_vits_model(gpt_path, sovits_path, progress=gr.Progress(track_tqdm=True)): + global vits + print("模型加载中...", gpt_path, sovits_path) + all_gpt_path = os.path.join(GPT_SoVITS_ckpt, gpt_path) + all_sovits_path = os.path.join(GPT_SoVITS_ckpt, sovits_path) + vits.load_model(all_gpt_path, all_sovits_path) + gr.Info("模型加载成功") + return gpt_path, sovits_path + +def character_change(character): + if character == '女性角色': + return r'./inputs/girl.png' + elif character == '男性角色': + return r'./inputs/boy.png' + elif character == '自定义角色': + return None + else: + gr.Warning("不支持的角色类型：" + character) + return None + +def webui_setting(talk=False): + if not talk: + with gr.Tabs(): + with gr.TabItem('数字人形象设定'): + source_image = gr.Image(label="Source image", type="filepath") + else: + source_image = None + with gr.Tabs("TTS Method"): + with gr.Accordion("TTS Method语音方法调节 ", open=True): + with gr.Tab("Edge-TTS"): + voice = gr.Dropdown(edgetts.SUPPORTED_VOICE, value='zh-CN-XiaoxiaoNeural', label="Voice 声音选择") + rate = gr.Slider(minimum=-100, maximum=100, value=0, step=1.0, label='Rate 速率') + volume = gr.Slider(minimum=0, maximum=100, value=100, step=1, label='Volume 音量') + pitch = gr.Slider(minimum=-100, maximum=100, value=0, step=1, label='Pitch 音调') + with gr.Tab("PaddleTTS"): + am = gr.Dropdown(["FastSpeech2"], label="声学模型选择", value='FastSpeech2') + voc = gr.Dropdown(["PWGan", "HifiGan"], label="声码器选择", value='PWGan') + lang = gr.Dropdown(["zh", "en", "mix", "canton"], label="语言选择", value='zh') + male = gr.Checkbox(label="男声(Male)", value=False) + with gr.Tab('GPT-SoVITS'): + with gr.Row(): + gpt_path = gr.FileExplorer(root=GPT_SoVITS_ckpt, glob="*.ckpt", value="s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt", file_count='single', label="GPT模型路径") + sovits_path = gr.FileExplorer(root=GPT_SoVITS_ckpt, glob="*.pth", value="s2G488k.pth", file_count='single', label="SoVITS模型路径") + button = gr.Button("加载模型") + button.click(fn=load_vits_model, inputs=[gpt_path, sovits_path], outputs=[gpt_path, sovits_path]) + with gr.Row(): + ref_audio = gr.Audio(label="请上传3~10秒内参考音频，超过会报错！", sources=["microphone", "upload"], type="filepath") + use_mic_voice = gr.Checkbox(label="使用语音问答的麦克风") + prompt_text = gr.Textbox(label="参考音频的文本", value="") + prompt_language = gr.Dropdown(label="参考音频的语种", choices=["中文", "英文", "日文"], value="中文") + asr_button = gr.Button("语音识别 - 克隆参考音频") + asr_button.click(fn=Asr, inputs=[ref_audio], outputs=[prompt_text]) + with gr.Row(): + text_language = gr.Dropdown(label="需要合成的语种", choices=["中文", "英文", "日文", "中英混合", "日英混合", "多语种混合"], value="中文") + cut_method = gr.Dropdown(label="怎么切", choices=["不切", "凑四句一切", "凑50字一切", "按中文句号。切", "按英文句号.切", "按标点符号切"], value="凑四句一切", interactive=True) + + with gr.Tab('CosyVoice'): + # tts_text = gr.Textbox(label="输入合成文本", lines=1, value="我是通义实验室语音团队全新推出的生成式语音大模型，提供舒适自然的语音合成能力。") + speed_factor = gr.Slider(minimum=0.25, maximum=4, step=0.05, label="语速调节", value=1.0, interactive=True) + with gr.Row(): + mode_checkbox_group = gr.Radio(choices=inference_mode_list, label='选择推理模式', value=inference_mode_list[0]) + instruction_text = gr.Text(label="操作步骤", lines=3, value=instruct_dict[inference_mode_list[0]], scale=0.5) + sft_dropdown = gr.Dropdown(choices=['中文女', '中文男', '日语男', '粤语女', '英文女', '英文男', '韩语女'], label='选择预训练音色', value="中文女", scale=0.25) + with gr.Row(): + seed_button = gr.Button(value="\U0001F3B2") + seed = gr.Number(value=0, label="随机推理种子") + with gr.Row(): + prompt_wav_upload = gr.Audio(sources='upload', type='filepath', label='选择prompt音频文件，注意采样率不低于16khz') + prompt_wav_record = gr.Audio(sources='microphone', type='filepath', label='录制prompt音频文件') + prompt_text_cv = gr.Textbox(label="输入prompt文本", lines=1, placeholder="请输入prompt文本，需与prompt音频内容一致，暂时不支持自动识别...", value='') + # instruct_text = gr.Textbox(label="输入instruct文本", lines=1, placeholder="请输入instruct文本.", value='') + seed_button.click(generate_seed, inputs=[], outputs=seed) + mode_checkbox_group.change(fn=change_instruction, inputs=[mode_checkbox_group], outputs=[instruction_text]) + generate_button = gr.Button("生成音频") + audio_output = gr.Audio(label="合成音频") + + with gr.Column(variant='panel'): + batch_size = gr.Slider(minimum=1, maximum=10, value=2, step=1, label='Talker Batch size') + if not talk: + character = gr.Radio(['女性角色', '男性角色', '自定义角色'], label="角色选择", value='自定义角色') + character.change(fn=character_change, inputs=[character], outputs=[source_image]) + talker_method = gr.Radio(choices=['SadTalker', 'Wav2Lip', 'Wav2Lipv2', 'NeRFTalk', 'Comming Soon!!!'], value='SadTalker', label='数字人模型选择') + talker_method.change(fn=talker_model_change, inputs=[talker_method], outputs=[talker_method]) + else: + character = None + talker_method = None + tts_method = gr.Radio(['Edge-TTS', 'PaddleTTS', 'GPT-SoVITS克隆声音', 'CosyVoice-SFT模式', 'CosyVoice-克隆翻译模式', 'Comming Soon!!!'], label="Text To Speech Method", value='Edge-TTS') + tts_method.change(fn=tts_model_change, inputs=[tts_method], outputs=[tts_method]) + asr_method = gr.Radio(choices=['Whisper-tiny', 'Whisper-base', 'FunASR', 'Comming Soon!!!'], value='Whisper-base', label='语音识别模型选择') + asr_method.change(fn=asr_model_change, inputs=[asr_method], outputs=[asr_method]) + llm_method = gr.Dropdown(choices=['Qwen', 'Qwen2', 'Linly', 'Gemini', 'ChatGLM', 'ChatGPT', 'GPT4Free', '直接回复 Direct Reply', 'Comming Soon!!!'], value='直接回复 Direct Reply', label='LLM 模型选择') + llm_method.change(fn=llm_model_change, inputs=[llm_method], outputs=[llm_method]) + return (source_image, voice, rate, volume, pitch, am, voc, lang, male, + ref_audio, prompt_text, prompt_language, text_language, cut_method, use_mic_voice, tts_method, + batch_size, character, talker_method, asr_method, llm_method, generate_button, audio_output, + mode_checkbox_group, sft_dropdown, prompt_text_cv, prompt_wav_upload, prompt_wav_record, seed, speed_factor) + +def exmaple_setting(asr, text, character, talk, tts, voice, llm): + # 默认text的Example + examples = [ + ['Whisper-base', '应对压力最有效的方法是什么？', '女性角色', 'SadTalker', 'Edge-TTS', 'zh-CN-XiaoxiaoNeural', '直接回复 Direct Reply'], + ['Whisper-tiny', '应对压力最有效的方法是什么？', '女性角色', 'SadTalker', 'PaddleTTS', 'None', '直接回复 Direct Reply'], + ['Whisper-base', '应对压力最有效的方法是什么？', '女性角色', 'SadTalker', 'Edge-TTS', 'zh-CN-XiaoxiaoNeural', 'Qwen'], + ['FunASR', '如何进行时间管理？', '男性角色', 'SadTalker', 'Edge-TTS', 'zh-CN-YunyangNeural', 'Qwen'], + ['Whisper-tiny', '为什么有些人选择使用纸质地图或寻求方向，而不是依赖GPS设备或智能手机应用程序？', '女性角色', 'Wav2Lip', 'PaddleTTS', 'None', 'Qwen'], + ['Whisper-tiny', '为什么有些人选择使用纸质地图或寻求方向，而不是依赖GPS设备或智能手机应用程序？', '女性角色', 'Wav2Lipv2', 'Edge-TTS', 'None', 'Qwen'], + ] + with gr.Row(variant='panel'): + with gr.Column(variant='panel'): + gr.Markdown("## Test Examples") + gr.Examples( + examples = examples, + inputs = [asr, text, character, talk , tts, voice, llm], + ) +def app_multi(): + with gr.Blocks(analytics_enabled=False, title='Linly-Talker') as inference: + # 显示标题 + gr.HTML(get_title("Linly 智能对话系统 (Linly-Talker) 多轮GPT对话")) + + with gr.Row(): + with gr.Column(): + # 加载 Web UI 设置 + (source_image, voice, rate, volume, pitch, + am, voc, lang, male, + ref_audio, prompt_text, prompt_language, text_language, cut_method, use_mic_voice, + tts_method, batch_size, character, talker_method, asr_method, llm_method, generate_button, audio_output, + mode_checkbox_group, sft_dropdown, prompt_text_cv, prompt_wav_upload, prompt_wav_record, seed, speed_factor) = webui_setting() + + + # 数字人问答视频显示 + video = gr.Video(label='数字人问答', scale=0.5) + video_button = gr.Button("🎬 生成数字人视频（对话后）", variant='primary') + + with gr.Column(): + with gr.Tabs(elem_id="sadtalker_checkbox"): + with gr.TabItem('SadTalker数字人参数设置'): + with gr.Accordion("Advanced Settings", open=False): + gr.Markdown("SadTalker: need help? please visit our [best practice page](https://github.com/OpenTalker/SadTalker/blob/main/docs/best_practice.md) for more details") + with gr.Column(variant='panel'): + # 数字人参数设置 + with gr.Row(): + pose_style = gr.Slider(minimum=0, maximum=45, step=1, label="Pose style", value=0) + exp_weight = gr.Slider(minimum=0, maximum=3, step=0.1, label="expression scale", value=1) + blink_every = gr.Checkbox(label="use eye blink", value=True) + with gr.Row(): + size_of_image = gr.Radio([256, 512], value=256, label='face model resolution', info="use 256/512 model? 256 is faster") + preprocess_type = gr.Radio(['crop', 'resize','full', 'extcrop', 'extfull'], value='crop', label='preprocess', info="How to handle input image?") + with gr.Row(): + is_still_mode = gr.Checkbox(label="Still Mode (fewer head motion, works with preprocess `full`)") + facerender = gr.Radio(['facevid2vid'], value='facevid2vid', label='facerender', info="which face render?") + with gr.Row(): + fps = gr.Slider(label='fps in generation', step=1, maximum=30, value=20) + enhancer = gr.Checkbox(label="GFPGAN as Face enhancer(slow)") + + # System 设定及清除历史对话 + with gr.Row(): + with gr.Column(scale=3): + system_input = gr.Textbox(value=DEFAULT_SYSTEM, lines=1, label='System (设定角色)') + with gr.Column(scale=1): + modify_system = gr.Button("🛠️ 设置system并清除历史对话", scale=2) + system_state = gr.Textbox(value=DEFAULT_SYSTEM, visible=False) + + # 聊天机器人界面 + chatbot = gr.Chatbot(height=400, show_copy_button=True) + + # 语音输入及识别按钮 + with gr.Group(): + question_audio = gr.Audio(sources=['microphone','upload'], type="filepath", label='语音对话', autoplay=False) + asr_btn = gr.Button('🎤 语音识别（语音对话后点击）') + + # 文本输入框 + msg = gr.Textbox(label="输入文字/问题", lines=3, placeholder='请输入文本或问题，同时可以设置LLM模型。默认使用直接回复。') + asr_btn.click(fn=Asr, inputs=[question_audio], outputs=[msg]) + + + generate_button.click(fn=TTS_response, + inputs=[msg, voice, rate, volume, pitch, am, voc, lang, male, + ref_audio, prompt_text, prompt_language, text_language, + cut_method, question_audio, prompt_text, use_mic_voice, + mode_checkbox_group, sft_dropdown, prompt_text_cv, prompt_wav_upload, prompt_wav_record, seed, speed_factor, tts_method, ], + outputs=[audio_output]) + + # 清除历史记录和提交按钮 + with gr.Row(): + clear_history = gr.Button("🧹 清除历史对话") + sumbit = gr.Button("🚀 发送", variant='primary') + + # 设置按钮的点击事件 + sumbit.click(chat_response, inputs=[system_input, msg, chatbot], outputs=[msg, chatbot]) + clear_history.click(fn=clear_session, outputs=[msg, chatbot]) + modify_system.click(fn=modify_system_session, inputs=[system_input], outputs=[system_state, system_input, chatbot]) + video_button.click(fn=human_response, inputs=[source_image, chatbot, question_audio, talker_method, voice, rate, volume, pitch, + am, voc, lang, male, + ref_audio, prompt_text, prompt_language, text_language, cut_method, use_mic_voice, + mode_checkbox_group, sft_dropdown, prompt_text_cv, prompt_wav_upload, prompt_wav_record, seed, speed_factor, + tts_method, character, preprocess_type, + is_still_mode, enhancer, batch_size, size_of_image, + pose_style, facerender, exp_weight, blink_every, fps], outputs=[video]) + + # 示例设置 + exmaple_setting(asr_method, msg, character, talker_method, tts_method, voice, llm_method) + return inference + +def app_img(): + with gr.Blocks(analytics_enabled=False, title='Linly-Talker') as inference: + # 显示标题 + gr.HTML(get_title("Linly 智能对话系统 (Linly-Talker) 个性化角色互动")) + + with gr.Row(equal_height=False): + with gr.Column(variant='panel'): + # 加载 Web UI 设置 + (source_image, voice, rate, volume, pitch, + am, voc, lang, male, + ref_audio, prompt_text, prompt_language, text_language, cut_method, use_mic_voice, + tts_method, batch_size, character, talker_method, asr_method, llm_method, generate_button, audio_output, + mode_checkbox_group, sft_dropdown, prompt_text_cv, prompt_wav_upload, prompt_wav_record, seed, speed_factor) = webui_setting() + + with gr.Column(variant='panel'): + with gr.Tabs(): + with gr.TabItem('对话'): + with gr.Group(): + question_audio = gr.Audio(sources=['microphone', 'upload'], type="filepath", label='语音对话') + input_text = gr.Textbox(label="输入文字/问题", lines=3, placeholder='请输入文本或问题，同时可以设置LLM模型。默认使用直接回复。') + asr_btn = gr.Button('语音识别（语音对话后点击）') + asr_btn.click(fn=Asr, inputs=[question_audio], outputs=[input_text]) + generate_button.click(fn=TTS_response, + inputs=[input_text, voice, rate, volume, pitch, am, voc, lang, male, + ref_audio, prompt_text, prompt_language, text_language, + cut_method, question_audio, prompt_text, use_mic_voice, + mode_checkbox_group, sft_dropdown, prompt_text_cv, prompt_wav_upload, prompt_wav_record, seed, speed_factor, tts_method, ], + outputs=[audio_output]) + with gr.Tabs(elem_id="text_examples"): + gr.Markdown("## Text Examples") + examples = [ + ['应对压力最有效的方法是什么？'], + ['如何进行时间管理？'], + ['为什么有些人选择使用纸质地图或寻求方向，而不是依赖GPS设备或智能手机应用程序？'], + ] + gr.Examples(examples=examples, inputs=[input_text]) + + with gr.Tabs(elem_id="sadtalker_checkbox"): + with gr.TabItem('SadTalker数字人参数设置'): + with gr.Accordion("Advanced Settings", open=False): + gr.Markdown("SadTalker: need help? please visit our [best practice page](https://github.com/OpenTalker/SadTalker/blob/main/docs/best_practice.md) for more details") + with gr.Column(variant='panel'): + with gr.Row(): + pose_style = gr.Slider(minimum=0, maximum=45, step=1, label="Pose style", value=0) + exp_weight = gr.Slider(minimum=0, maximum=3, step=0.1, label="expression scale", value=1) + blink_every = gr.Checkbox(label="use eye blink", value=True) + with gr.Row(): + size_of_image = gr.Radio([256, 512], value=256, label='face model resolution', info="use 256/512 model? 256 is faster") + preprocess_type = gr.Radio(['crop', 'resize', 'full', 'extcrop', 'extfull'], value='crop', label='preprocess', info="How to handle input image?") + with gr.Row(): + is_still_mode = gr.Checkbox(label="Still Mode (fewer head motion, works with preprocess `full`)") + facerender = gr.Radio(['facevid2vid'], value='facevid2vid', label='facerender', info="which face render?") + with gr.Row(): + fps = gr.Slider(label='fps in generation', step=1, maximum=30, value=20) + enhancer = gr.Checkbox(label="GFPGAN as Face enhancer(slow)") + + with gr.Tabs(elem_id="sadtalker_genearted"): + gen_video = gr.Video(label="数字人视频", format="mp4") + + submit = gr.Button('🎬 生成数字人视频', elem_id="sadtalker_generate", variant='primary') + submit.click( + fn=Talker_response_img, + inputs=[question_audio, talker_method, input_text, voice, rate, volume, pitch, + am, voc, lang, male, ref_audio, prompt_text, prompt_language, text_language, cut_method, use_mic_voice, + mode_checkbox_group, sft_dropdown, prompt_text_cv, prompt_wav_upload, prompt_wav_record, seed, speed_factor, + tts_method, source_image, preprocess_type, is_still_mode, enhancer, batch_size, size_of_image, + pose_style, facerender, exp_weight, blink_every, fps], + outputs=[gen_video] + ) + + with gr.Row(): + examples = [ + ['examples/source_image/full_body_2.png', 'SadTalker', 'crop', False, False], + ['examples/source_image/full_body_1.png', 'Wav2Lipv2', 'full', False, False], + ['examples/source_image/full_body_2.png', 'Wav2Lipv2', 'full', False, False], + ['examples/source_image/full_body_1.png', 'Wav2Lip', 'full', True, False], + ['examples/source_image/full_body_1.png', 'SadTalker', 'full', True, False], + ['examples/source_image/full4.jpeg', 'SadTalker', 'crop', False, True], + ] + gr.Examples( + examples=examples, + inputs=[source_image, talker_method, preprocess_type, is_still_mode, enhancer], + outputs=[gen_video], + # cache_examples=True, + ) + return inference + + +def load_musetalk_model(): + """加载MuseTalk模型，显示加载状态和结果信息。""" + gr.Warning("若显存不足，可能会导致模型加载失败，可以尝试使用其他模型或者换其他设备。") + gr.Info("MuseTalk模型导入中...") + musetalker.init_model() + gr.Info("MuseTalk模型导入成功") + return "MuseTalk模型导入成功" + +def musetalk_prepare_material(source_video, bbox_shift): + """准备MuseTalk所需的素材，检查模型是否已加载。""" + if musetalker.load is False: + gr.Warning("请先加载MuseTalk模型后重新上传文件") + return source_video, None + return musetalker.prepare_material(source_video, bbox_shift) + +def app_muse(): + """定义MuseTalk应用的UI和逻辑。""" + with gr.Blocks(analytics_enabled=False, title='Linly-Talker') as inference: + gr.HTML(get_title("Linly 智能对话系统 (Linly-Talker) MuseTalker数字人实时对话")) + + # 上传参考视频和调整bbox_shift + with gr.Row(equal_height=False): + with gr.Column(variant='panel'): + with gr.TabItem('MuseV Video'): + gr.Markdown("MuseV: 需要帮助？请访问 [MuseVDemo](https://huggingface.co/spaces/AnchorFake/MuseVDemo) 生成视频。") + source_video = gr.Video(label="Reference Video", sources=['upload']) + gr.Markdown( + "BBox_shift 推荐值下限，在生成初始结果后生成相应的 bbox 范围。" + "一般来说，正值（向下半部分移动）通常会增加嘴巴的张开度，" + "而负值（向上半部分移动）通常会减少嘴巴的张开度。" + "用户可根据具体需求调整此参数。" + ) + bbox_shift = gr.Number(label="BBox_shift value, px", value=0) + bbox_shift_scale = gr.Textbox(label="bbox_shift_scale", value="", interactive=False) + + # 加载MuseTalk模型按钮 + load_musetalk = gr.Button("加载MuseTalk模型(传入视频前先加载)", variant='primary') + load_musetalk.click(fn=load_musetalk_model, outputs=bbox_shift_scale) + + # 加载 Web UI 设置 + (_, voice, rate, volume, pitch, + am, voc, lang, male, + ref_audio, prompt_text, prompt_language, text_language, cut_method, use_mic_voice, + tts_method, batch_size, _, _, asr_method, llm_method, generate_button, audio_output, + mode_checkbox_group, sft_dropdown, prompt_text_cv, prompt_wav_upload, prompt_wav_record, seed, speed_factor) = webui_setting(talk=True) + + # 处理source_video变化 + source_video.change(fn=musetalk_prepare_material, inputs=[source_video, bbox_shift], outputs=[source_video, bbox_shift_scale]) + + # 问题输入和ASR识别 + with gr.Column(variant='panel'): + with gr.Tabs(): + with gr.TabItem('对话'): + with gr.Group(): + question_audio = gr.Audio(sources=['microphone', 'upload'], type="filepath", label='语音对话') + input_text = gr.Textbox(label="输入文字/问题", lines=3, placeholder='请输入文本或问题，同时可以设置LLM模型。默认使用直接回复。') + asr_btn = gr.Button('语音识别（语音对话后点击）') + asr_btn.click(fn=Asr, inputs=[question_audio], outputs=[input_text]) + generate_button.click(fn=TTS_response, + inputs=[input_text, voice, rate, volume, pitch, am, voc, lang, male, + ref_audio, prompt_text, prompt_language, text_language, + cut_method, question_audio, prompt_text, use_mic_voice, + mode_checkbox_group, sft_dropdown, prompt_text_cv, prompt_wav_upload, prompt_wav_record, seed, speed_factor, tts_method, ], + outputs=[audio_output]) + + # 生成MuseTalk视频 + with gr.TabItem("MuseTalk Video"): + gen_video = gr.Video(label="数字人视频", format="mp4") + submit = gr.Button('Generate', elem_id="sadtalker_generate", variant='primary') + # examples = [os.path.join('Musetalk/data/video', video) for video in os.listdir("Musetalk/data/video")] + + gr.Markdown("## MuseV Video Examples") + gr.Examples( + examples=[ + ['Musetalk/data/video/yongen_musev.mp4', 5], + ['Musetalk/data/video/musk_musev.mp4', 5], + ['Musetalk/data/video/monalisa_musev.mp4', 5], + ['Musetalk/data/video/sun_musev.mp4', 5], + ['Musetalk/data/video/seaside4_musev.mp4', 5], + ['Musetalk/data/video/sit_musev.mp4', 5], + ['Musetalk/data/video/man_musev.mp4', 5] + ], + inputs=[source_video, bbox_shift], + ) + + # 提交按钮点击事件 + submit.click( + fn=MuseTalker_response, + inputs=[ + source_video, bbox_shift, question_audio, input_text, + voice, rate, volume, pitch, am, voc, lang, male, + ref_audio, prompt_text, prompt_language, text_language, cut_method, use_mic_voice, + mode_checkbox_group, sft_dropdown, prompt_text_cv, prompt_wav_upload, prompt_wav_record, seed, speed_factor, + tts_method, batch_size + ], + outputs=[gen_video] + ) + + return inference +def asr_model_change(model_name, progress=gr.Progress(track_tqdm=True)): + """根据选择的模型名称更换ASR模型。""" + global asr + clear_memory() # 清理显存 + + try: + if model_name == "Whisper-tiny": + asr_path = 'Whisper/tiny.pt' if os.path.exists('Whisper/tiny.pt') else 'tiny' + asr = WhisperASR(asr_path) + gr.Info("Whisper-tiny模型导入成功") + elif model_name == "Whisper-base": + asr_path = 'Whisper/base.pt' if os.path.exists('Whisper/base.pt') else 'base' + asr = WhisperASR(asr_path) + gr.Info("Whisper-base模型导入成功") + elif model_name == 'FunASR': + from ASR import FunASR + asr = FunASR() + gr.Info("FunASR模型导入成功") + else: + gr.Warning("未知ASR模型，可提issue和PR 或者 建议更新模型") + except Exception as e: + gr.Warning(f"{model_name}模型加载失败: {e}") + + return model_name + +def llm_model_change(model_name, progress=gr.Progress(track_tqdm=True)): + """更换LLM模型，并根据选择的模型加载相应资源。""" + global llm + gemini_apikey = "" # Gemini模型的API密钥 + openai_apikey = "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" # OpenAI的API密钥 + proxy_url = None # 代理URL + + # 清理显存，释放不必要的显存以便加载新模型 + clear_memory() + + try: + if model_name == 'Linly': + llm = llm_class.init_model('Linly', 'Linly-AI/Chinese-LLaMA-2-7B-hf', prefix_prompt=PREFIX_PROMPT) + gr.Info("Linly模型导入成功") + elif model_name == 'Qwen': + llm = llm_class.init_model('Qwen', 'Qwen/Qwen-1_8B-Chat', prefix_prompt=PREFIX_PROMPT) + gr.Info("Qwen模型导入成功") + elif model_name == 'Qwen2': + llm = llm_class.init_model('Qwen2', 'Qwen/Qwen1.5-0.5B-Chat', prefix_prompt=PREFIX_PROMPT) + gr.Info("Qwen2模型导入成功") + elif model_name == 'Gemini': + if gemini_apikey: + llm = llm_class.init_model('Gemini', 'gemini-pro', gemini_apikey, proxy_url) + gr.Info("Gemini模型导入成功") + else: + gr.Warning("请填写Gemini的API密钥") + elif model_name == 'ChatGLM': + llm = llm_class.init_model('ChatGLM', 'THUDM/chatglm3-6b', prefix_prompt=PREFIX_PROMPT) + gr.Info("ChatGLM模型导入成功") + elif model_name == 'ChatGPT': + if openai_apikey: + llm = llm_class.init_model('ChatGPT', api_key=openai_apikey, proxy_url=proxy_url, prefix_prompt=PREFIX_PROMPT) + gr.Info("ChatGPT模型导入成功") + else: + gr.Warning("请填写OpenAI的API密钥") + elif model_name == '直接回复 Direct Reply': + llm = llm_class.init_model(model_name) + gr.Info("直接回复，不使用LLM模型") + elif model_name == 'GPT4Free': + llm = llm_class.init_model('GPT4Free', prefix_prompt=PREFIX_PROMPT) + gr.Info("GPT4Free模型导入成功，请注意该模型可能不稳定") + else: + gr.Warning("未知LLM模型，请检查模型名称或提出Issue") + except Exception as e: + gr.Warning(f"{model_name}模型加载失败: {e}") + + return model_name +def talker_model_change(model_name, progress=gr.Progress(track_tqdm=True)): + """更换数字人对话模型，并根据选择的模型加载相应资源。""" + global talker + + # 清理显存，释放不必要的显存以便加载新模型 + clear_memory() + + if model_name not in ['SadTalker', 'Wav2Lip', 'Wav2Lipv2', 'NeRFTalk']: + gr.Warning("其他模型暂未集成，请等待更新") + return model_name + + try: + if model_name == 'SadTalker': + from TFG import SadTalker + talker = SadTalker(lazy_load=True) + gr.Info("SadTalker模型导入成功") + elif model_name == 'Wav2Lip': + from TFG import Wav2Lip + clear_memory() + talker = Wav2Lip("checkpoints/wav2lip_gan.pth") + gr.Info("Wav2Lip模型导入成功") + elif model_name == 'Wav2Lipv2': + from TFG import Wav2Lipv2 + clear_memory() + talker = Wav2Lipv2('checkpoints/wav2lipv2.pth') + gr.Info("Wav2Lipv2模型导入成功，能够生成更高质量的结果") + elif model_name == 'NeRFTalk': + from TFG import NeRFTalk + talker = NeRFTalk() + talker.init_model('checkpoints/Obama_ave.pth', 'checkpoints/Obama.json') + gr.Info("NeRFTalk模型导入成功") + gr.Warning("NeRFTalk模型仅针对单个人训练，内置奥巴马模型，上传其他图片无效") + except Exception as e: + gr.Warning(f"{model_name}模型加载失败: {e}") + + return model_name + +def tts_model_change(model_name, progress=gr.Progress(track_tqdm=True)): + """更换TTS模型，并根据选择的模型加载相应资源。""" + global tts + global cosyvoice + # 清理显存，释放不必要的显存以便加载新模型 + clear_memory() + + try: + if model_name == 'Edge-TTS': + # tts = EdgeTTS() # Uncomment when implementation available + if edgetts.network: + gr.Info("EdgeTTS模型导入成功") + else: + gr.Warning("EdgeTTS模型加载失败，请检查网络连接") + elif model_name == 'PaddleTTS': + from TTS import PaddleTTS + tts = PaddleTTS() + gr.Info("PaddleTTS模型导入成功, 效果有限，不建议使用") + elif model_name == 'GPT-SoVITS克隆声音': + gpt_path = "GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt" + sovits_path = "GPT_SoVITS/pretrained_models/s2G488k.pth" + vits.load_model(gpt_path, sovits_path) + gr.Info("GPT-SoVITS模型加载成功，请上传参考音频进行克隆") + elif model_name == 'CosyVoice-SFT模式': + from VITS import CosyVoiceTTS + model_path = 'checkpoints/CosyVoice_ckpt/CosyVoice-300M-SFT' + cosyvoice = CosyVoiceTTS(model_path) + gr.Info("CosyVoice模型导入成功，适合使用SFT模式，用微调后数据") + elif model_name == 'CosyVoice-克隆翻译模式': + from VITS import CosyVoiceTTS + model_path = 'checkpoints/CosyVoice_ckpt/CosyVoice-300M' + cosyvoice = CosyVoiceTTS(model_path) + gr.Info("CosyVoice模型导入成功，更适合进行克隆声音和翻译声音") + else: + gr.Warning("未知TTS模型，请检查模型名称或提出Issue") + except Exception as e: + gr.Warning(f"{model_name}模型加载失败: {e}") + + return model_name + +def success_print(text): + """输出绿色文本，表示成功信息。""" + print(f"\033[1;32m{text}\033[0m") + +def error_print(text): + """输出红色文本，表示错误信息。""" + print(f"\033[1;31m{text}\033[0m") + +if __name__ == "__main__": + # 初始化LLM类 + llm_class = LLM(mode='offline') + llm = llm_class.init_model('直接回复 Direct Reply') + success_print("默认不使用LLM模型，直接回复问题，同时减少显存占用！") + + # 尝试加载GPT-SoVITS模块 + try: + from VITS import * + vits = GPT_SoVITS() + success_print("Success! GPT-SoVITS模块加载成功，语音克隆默认使用GPT-SoVITS模型") + except Exception as e: + error_print(f"GPT-SoVITS 加载失败: {e}") + error_print("如果使用VITS，请先下载GPT-SoVITS模型并安装环境") + + # 尝试加载SadTalker模块 + try: + from TFG import SadTalker + talker = SadTalker(lazy_load=True) + success_print("Success! SadTalker模块加载成功，默认使用SadTalker模型") + except Exception as e: + error_print(f"SadTalker 加载失败: {e}") + error_print("如果使用SadTalker，请先下载SadTalker模型") + + # 尝试加载Whisper ASR模块 + try: + from ASR import WhisperASR + asr = WhisperASR('base') + success_print("Success! WhisperASR模块加载成功，默认使用Whisper-base模型") + except Exception as e: + error_print(f"WhisperASR 加载失败: {e}") + error_print("如果使用FunASR，请先下载WhisperASR模型并安装环境") + + # 检查GPU显存 + if torch.cuda.is_available(): + gpu_memory = torch.cuda.get_device_properties(0).total_memory / (1024 ** 3) # Convert bytes to GB + if gpu_memory < 8: + error_print("警告: 您的显卡显存小于8GB，不建议使用MuseTalk功能") + + # 尝试加载MuseTalk模块 + try: + from TFG import MuseTalk_RealTime + musetalker = MuseTalk_RealTime() + success_print("Success! MuseTalk模块加载成功") + except Exception as e: + error_print(f"MuseTalk 加载失败: {e}") + error_print("如果使用MuseTalk，请先下载MuseTalk模型") + + # 尝试加载EdgeTTS模块 + try: + tts = edgetts + if not tts.network: + error_print("EdgeTTS模块加载失败，请检查网络连接") + except Exception as e: + error_print(f"EdgeTTS 加载失败: {e}") + + # Gradio UI的初始化和启动 + gr.close_all() + demo_img = app_img() + demo_multi = app_multi() + demo_muse = app_muse() + demo = gr.TabbedInterface( + interface_list=[demo_img, demo_multi, demo_muse], + tab_names=["个性化角色互动", "数字人多轮智能对话", "MuseTalk数字人实时对话"], + title="Linly-Talker WebUI" + ) + demo.queue(max_size=4, default_concurrency_limit=2) + demo.launch( + server_name=ip, # 本地localhost:127.0.0.1 或 "0.0.0.0" 进行全局端口转发 + server_port=port, + # ssl_certfile=ssl_certfile, # SSL证书文件 + # ssl_keyfile=ssl_keyfile, # SSL密钥文件 + # ssl_verify=False, + share=True, + debug=True, + ) diff --git "a/\345\270\270\350\247\201\351\227\256\351\242\230\346\261\207\346\200\273.md" "b/\345\270\270\350\247\201\351\227\256\351\242\230\346\261\207\346\200\273.md" new file mode 100644 index 0000000000000000000000000000000000000000..56756830807834691147e9c5cceb1b900007bbb7 --- /dev/null +++ "b/\345\270\270\350\247\201\351\227\256\351\242\230\346\261\207\346\200\273.md" @@ -0,0 +1,550 @@ +# 问题汇总 + +
+目录 + +- [问题汇总](#问题汇总) + - [一、下载问题](#一下载问题) + - [1.1 代码下载](#11-代码下载) + - [1.2 权重下载](#12-权重下载) + - [1.3 网络下载](#13-网络下载) + - [1.4 克隆语音 权重](#14-克隆语音-权重) + - [二、环境配置问题](#二环境配置问题) + - [2.1 GPU环境](#21-gpu环境) + - [2.2 CPU环境](#22-cpu环境) + - [2.3 显存问题](#23-显存问题) + - [三、运行问题](#三运行问题) + - [3.1 文件找不到](#31-文件找不到) + - [3.2 FFMPEG问题](#32-ffmpeg问题) + - [3.3 路径问题](#33-路径问题) + - [3.4 GFPGANer is not defined](#34-gfpganer-is-not-defined) + - [3.5 Microsoft Visual C++ 14.0 is required](#35-microsoft-visual-c-140-is-required) + - [3.6 多个服务器部署](#36-多个服务器部署) + - [3.7 GeminiPro的参数proxy代理设置](#37-geminipro的参数proxy代理设置) + - [3.8 项目更新方向](#38-项目更新方向) + - [3.9 version GLIBCXX\_3.4.\* not found](#39-version-glibcxx_34-not-found) + - [3.10 Gradio Connection errored out](#310-gradio-connection-errored-out) + - [3.11 gr.Error("无克隆环境或者无克隆模型权重，无法克隆声音", e)](#311-grerror无克隆环境或者无克隆模型权重无法克隆声音-e) + - [3.12 OSError: WinError 127 找不到指定的程序](#312-oserror-winerror-127-找不到指定的程序) + - [3.13 LLM对话步骤出现错误：“对不起，你的请求出错了，请再次尝试。”](#313-llm对话步骤出现错误对不起你的请求出错了请再次尝试) + - [3.14 启动报错 SadTalker Error: invalid load key, 'v'.](#314-启动报错-sadtalker-error-invalid-load-key-v) + - [3.15 File is not a zip file](#315-file-is-not-a-zip-file) + - [四、使用问题](#四使用问题) + - [4.1 TTS声音是否可以调整](#41-tts声音是否可以调整) + - [4.2 声音克隆操作](#42-声音克隆操作) + - [五、功能迭代问题](#五功能迭代问题) + - [5.1 LLM大模型更新](#51-llm大模型更新) + - [5.2 克隆语音模型替换](#52-克隆语音模型替换) + - [5.3 LLM API的使用问题](#53-llm-api的使用问题) + - [5.4 Linly-Talker效果问题](#54-linly-talker效果问题) + - [六、交流群问题](#六交流群问题) + +
+ +## 一、下载问题 + +### 1.1 代码下载 + +代码可以从Github下载 [https://github.com/Kedreamix/Linly-Talker](https://github.com/Kedreamix/Linly-Talker)，也可以从Gitee下载 [https://gitee.com/kedreamix/Linly-Talker](https://gitee.com/kedreamix/Linly-Talker) + +Github会是最新的代码，Gitee会不定时更新 + +### 1.2 权重下载 + +提供以下四种渠道下载权重，具体可看README + +- [Baidu (百度云盘)](https://pan.baidu.com/s/1eF13O-8wyw4B3MtesctQyg?pwd=linl) (Password: `linl`) +- [huggingface](https://huggingface.co/Kedreamix/Linly-Talker) +- [modelscope](https://www.modelscope.cn/models/Kedreamix/Linly-Talker/summary) +- [Quark(夸克网盘)](https://pan.quark.cn/s/f48f5e35796b) + +SadTalker的代码可以从 [Baidu (百度云盘)](https://pan.baidu.com/s/1eF13O-8wyw4B3MtesctQyg?pwd=linl) (Password: `linl`) 下载，也可以直接运行shell文件`bash scripts/download_models.sh `运行自动下载所有模型，并且移动到对应的目录（比较适用于Linux）。 + +Wav2Lip的代码模型也可以从One Drive下载，可以只下载第一个或者第二个： + +| Model | Description | Link to the model | +| ---------------------------- | ----------------------------------------------------- | ------------------------------------------------------------ | +| Wav2Lip | Highly accurate lip-sync | [Link](https://iiitaphyd-my.sharepoint.com/:u:/g/personal/radrabha_m_research_iiit_ac_in/Eb3LEzbfuKlJiR600lQWRxgBIY27JZg80f7V9jtMfbNDaQ?e=TBFBVW) | +| Wav2Lip + GAN | Slightly inferior lip-sync, but better visual quality | [Link](https://iiitaphyd-my.sharepoint.com/:u:/g/personal/radrabha_m_research_iiit_ac_in/EdjI7bZlgApMqsVoEUUXpLsBxqXbn5z8VTmoxp55YNDcIA?e=n9ljGW) | +| Expert Discriminator | Weights of the expert discriminator | [Link](https://iiitaphyd-my.sharepoint.com/:u:/g/personal/radrabha_m_research_iiit_ac_in/EQRvmiZg-HRAjvI6zqN9eTEBP74KefynCwPWVmF57l-AYA?e=ZRPHKP) | +| Visual Quality Discriminator | Weights of the visual disc trained in a GAN setup | [Link](https://iiitaphyd-my.sharepoint.com/:u:/g/personal/radrabha_m_research_iiit_ac_in/EQVqH88dTm1HjlK11eNba5gBbn15WMS0B0EZbDBttqrqkg?e=ic0ljo) | + +GPT-SoVITS的代码模型可以从以下链接下载，具体可看[https://github.com/RVC-Boss/GPT-SoVITS/blob/main/docs/cn/README.md#预训练模型](https://github.com/RVC-Boss/GPT-SoVITS/blob/main/docs/cn/README.md#预训练模型) + +从 [GPT-SoVITS Models](https://huggingface.co/lj1995/GPT-SoVITS) 下载预训练模型，并将它们放置在 `GPT_SoVITS\pretrained_models` 中。 + +中国地区用户可以进入以下链接并点击“下载副本”下载以上两个模型： + +- [GPT-SoVITS Models](https://www.icloud.com.cn/iclouddrive/056y_Xog_HXpALuVUjscIwTtg#GPT-SoVITS_Models) + +以及MuseTalk模型也可以从modelscope中进行下载，建议都使用modelscope下载，国内速度也较快 + +```bash +python scripts/modelscope_download.py +``` + + + + +### 1.3 网络下载 + +有时候利用代码下载的时候出现网络问题，可能会有网络的问题，比如大模型的`huggingface`下载，我目前已经加上了[Baidu (百度云盘)](https://pan.baidu.com/s/1eF13O-8wyw4B3MtesctQyg?pwd=linl) (Password: `linl`) ，可以考虑下载到本地以后根据文件夹放置，也可以完成对应的功能。 + +> 如果有什么文件下载有问题，也可以提建议给我，我会上传到百度网盘。 + + + +### 1.4 克隆语音 权重 + +为了保护用户隐私安全，我并未提供克隆语音的权重，因为这可能涉及版权问题，如果大家感兴趣的话，可以尝试使用相同的方法进行训练或者私聊我，感谢大家的理解 + +一部分克隆语音和参考音频已经放在了[Quark(夸克网盘)](https://pan.quark.cn/s/f48f5e35796b)，可自取 + + + +## 二、环境配置问题 + +### 2.1 GPU环境 + +我使用的是Pytorch 2.0+的版本，因为语音克隆模型需要比较高版本的pytorch，具体下载的命令可以根据pytorch官网的命令进行设置 [https://pytorch.org/get-started/previous-versions/](https://pytorch.org/get-started/previous-versions/)，建议有时候可以使用anaconda来安装，这样方便管理和安装其他都比较方便 + +```bash +conda create -n linly python=3.10 +conda activate linly + +# pytorch安装方式1：conda安装 +# CUDA 11.7 +# conda install pytorch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 pytorch-cuda=11.7 -c pytorch -c nvidia +# CUDA 11.8 +# conda install pytorch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 pytorch-cuda=11.8 -c pytorch -c nvidia + +# pytorch安装方式2：pip 安装 +# CUDA 11.7 +# pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 +# CUDA 11.8 +pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 --index-url https://download.pytorch.org/whl/cu118 + +conda install -q ffmpeg # ffmpeg==4.2.2 + +# 升级pip +python -m pip install --upgrade pip +# 更换 pypi 源加速库的安装 +pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple + +pip install tb-nightly -i https://mirrors.aliyun.com/pypi/simple +pip install -r requirements_webui.txt + +# 安装有关musetalk依赖 +pip install --no-cache-dir -U openmim +mim install mmengine +mim install "mmcv>=2.0.1" +mim install "mmdet>=3.1.0" +mim install "mmpose>=1.1.0" +``` + +> GPU环境有时候需要配置CUDA，这一部分网上有很多介绍，所以这里我就不多说了。 + + + +### 2.2 CPU环境 + +可以将GPU替换为CPU，但是这样可能会比较慢，只需要安装pytorch的时候，不安装GPU版本即可，应该也能完成对应的结果，但是可能结果会比较差，因为需要跑大模型等等，所以还是建议GPU环境 + + + +### 2.3 显存问题 + +暂时以我测试的来说，现在Sadtalker大概默认`Batch Size = 1`，可以选择是否导入大模型，如果不导入大模型，默认的显存大概占2g，加入SadTalker后大概4~6g，所以大概最低为6～8G显存的电脑都能正常部署，这里面针对的是GPU的环境。 + +若使用MuseTalk的话会占据比较大的显存，建议需要11G的显存去部署，但是如果上传图片的分辨率比较大，可能还是会出现溢出的问题，这里需要注意一下。 + + + +## 三、运行问题 + +### 3.1 文件找不到 + +如果出现`FileNotFound`的问题，如果是权重的问题的话，那就回到1.2的问题，重新下载即可，记住看readme目录尾部文件夹结构。 + + + +### 3.2 FFMPEG问题 + +如果正常运行在最后的生成视频出现`ffmpeg`的问题，那可能安装`ffmpeg`出错了，有两种方式。 + +第一种是使用conda安装`ffmpeg`，需要ffmpeg>=4.2.2左右 + +```bash +conda install -q ffmpeg # ffmpeg==4.2.2 +``` + +第二种就是正常安装`ffmpeg` + +```bash +# Linux下载 +sudo apt install ffmpeg +``` + +第三种就是Windows安装`ffmpeg` + +Windows安装下载ffmpeg也是很简单的，我这里给一个链接，大家可以试一下 [Windows下安装使用ffmpeg](https://zhuanlan.zhihu.com/p/118362010)，直接去官网下载即可[https://ffmpeg.org/](https://ffmpeg.org/)。 + + + +### 3.3 路径问题 + +如果下载的时候没有放对位置，需要在`config.py`设置对应的路径，并且可以修改端口的，默认设置为7860，也可以设置其他的端口，只要不被占用即可。 + + + +### 3.4 GFPGANer is not defined + +如果在运行的时候出现了这个问题，这是一个增强的模块，这一部分模块如果需要运行，首先要安装`gfpgan`库即可 + +```bash +pip install gfpgan +``` + + + +### 3.5 Microsoft Visual C++ 14.0 is required + +如果遇到这个问题，是因为window需要一些依赖，可以参考这篇文章解决一下 [Microsoft Visual C++ 14.0 is required解决方法](https://zhuanlan.zhihu.com/p/126669852) + +![](https://picx.zhimg.com/80/v2-d25b289827fc989f419df70f650b44e9.png) + + + +### 3.6 多个服务器部署 + +如果有多台服务器，大模型可以考虑放在另一个服务器中进行部署，我写了FastAPI的版本，可以利用部署api的方式来使用模型。 + +也可以其实先在本地部署，这样每次运行的时候不用一只load大模型，这样也会等待一段时间。 + + + +### 3.7 GeminiPro的参数proxy代理设置 + +对于GeminiPro的代理设置`proxy_url`可以传入参数，这个参数我设置是`http://127.0.0.1:7890`。 + +因为我用的是clash，所以开的端口是7890，这里面也可以换成自己对应的端口进行设置。 + + + +### 3.8 项目更新方向 + +如果要加入其他的模型的话和方向的话，可以在对应的文件夹`ASR`，`TTS`，`THG`和`LLM`中添加对应的算法，也可以向我提建议，我有时间也会进行更新的，欢迎大家向我提供资料。 + +> 我会一直保持更新的哈哈，有时候可能要想一些点子做好一点在放上去，也欢迎大家给我提PR，我都会加油的！！！冲冲冲！！！ + + + +### 3.9 version GLIBCXX_3.4.* not found + +如果有遇到这样的问题，那可能是一些库的版本的问题，具体可以看，["`GLIBCXX_3.4.32' not found" error at runtime. GCC 13.2.0](https://stackoverflow.com/questions/76974555/glibcxx-3-4-32-not-found-error-at-runtime-gcc-13-2-0) + +```bash +/lib/libstdc++.so.6: version `GLIBCXX_3.4.32' not found +``` + +我这里说一下我发现的问题，大概我发现有两种方式，第一种就是似乎python版本会解决问题，我用3.10居然不会出现错误，3.9出现了错误 + +第二个解决方法我发现，实际上这个错误是在`pyopenjtalk`/`opencc`库的问题，我们可以降低他的版本即可，比如这样的方法 + +```bash +pip install pyopenjtalk==0.3.1 +pip install opencc==1.1.1 +``` + +我们也可以看看自己机器本身含有的GLIBCXX的版本 + +```bash +strings /usr/lib/x86_64-linux-gnu/libstdc++.so.6 | grep GLIBCXX +``` + + + +### 3.10 Gradio Connection errored out + +我还没有遇到这种问题，但是有一些人遇到了，感觉在win上不稳定的多一点，这一部分大家可以提点建议，跟我说一下有没有一些通用的解决方案，因为在网上查找的资料感觉都不是很行 + + + +### 3.11 gr.Error("无克隆环境或者无克隆模型权重，无法克隆声音", e) + +这属于功能迭代的问题，也就是克隆环境和克隆模型权重，首先注意按照克隆环境 + +```bash +pip install VITS/requirements.txt +``` + +再根据[4.2 克隆语音模型替换](https://github.com/Kedreamix/Linly-Talker/blob/main/常见问题汇总.md#42-克隆语音模型替换)去修改模型权重即可 + + + +### 3.12 OSError: [WinError 127] 找不到指定的程序 + +这个错误通常发生在尝试在 Windows 操作系统上运行一个程序或命令时，但是系统找不到指定的可执行文件。一般来说，就是对应库的安装没安装好，可以建议根据出错的库重新安装一遍即可。 + + + +### 3.13 LLM对话步骤出现错误：“对不起，你的请求出错了，请再次尝试。” + +大模型兼容出现错误，重新安装对应的库即可解决 + +```bash +pip install transformers==4.32.0 accelerate tiktoken einops scipy transformers_stream_generator==0.0.4 peft deepspeed +``` + + + +### 3.14 启动报错 SadTalker Error: invalid load key, 'v'. + +在启动文件的时候，发现报错，我仔细去找这个问题，最后发现，应该是模型权重的下载有误，特别是关于`mapping`的两个`pth`文件有时候下载的时候没有174MB的内存，理论上大小如下。 + +```bash +149M checkpoints/mapping_00109-model.pth.tar +149M checkpoints/mapping_00229-model.pth.tar +``` + +所以遇到这个问题，建议重新下载这两个文件即可，提供以下三种渠道下载权重，具体可看`README` + +- [Baidu (百度云盘)](https://pan.baidu.com/s/1eF13O-8wyw4B3MtesctQyg?pwd=linl) (Password: `linl`) +- [huggingface](https://huggingface.co/Kedreamix/Linly-Talker) +- [modelscope](https://www.modelscope.cn/models/Kedreamix/Linly-Talker/summary) +- [Quark(夸克网盘)](https://pan.quark.cn/s/f48f5e35796b) + +git lfs clone可能有时候会出bug，那就可以直接下载这两个文件即可，如利用wget下载即可，也可以下载后重新上传到`checkpoints` + +```bash +wget -c https://modelscope.cn/api/v1/models/Kedreamix/Linly-Talker/repo?Revision=master&FilePath=checkpoints%2Fmapping_00109-model.pth.tar +wget -c https://modelscope.cn/api/v1/models/Kedreamix/Linly-Talker/repo?Revision=master&FilePath=checkpoints%2Fmapping_00229-model.pth.tar +``` + + + +### 3.15 File is not a zip file + +`nltk`自动下载模型的时候会出现一些网络问题，导致无法使用，所以我们可以自己下载`nltk_data`来避免下载问题，首先可以查看`nltk_data`的缓存路径 + +```python +import nltk +print(nltk.data.path) +``` + +找到路径以后，将文件放入缓存路径中，如果之前已经有了一些下载缓存，可以进行替换和覆盖，`nltk_data`已放在[Quark(夸克网盘)](https://pan.quark.cn/s/9e7af40d8a26)，分别为`corpora`和`taggers` + +## 四、使用问题 + +### 4.1 TTS声音是否可以调整 + +Linly-Talker中内置了几种TTS模型，分别是`EdgeTTS`和`PaddleTTS`，`EdgeTTS`的声音会更好一点，并且选择也会更多一点，具体可以从`TTS Method语音方法调节`部分来换声音。 + + + +![TTS声音调整](https://pica.zhimg.com/v2-5c768befccf3e7d7ea055d52398ea8c4.png) + +其中有很多声音，包括不同语言的声音，以及台湾的声音等等，在zh-CN开头的声音中，`Xiao`是女生的声音，`Yun`是男生的声音 + +![EdgeTTS](https://pic1.zhimg.com/v2-0be853527468de483e5e818b5c64be51.png) + +相对而言`PaddleTTS`的功能选择比较少，可以根据自己的兴趣使用 + +![PaddleTTS](https://picx.zhimg.com/v2-cc67b4fa7a0c7f2fc94e6031bfdcc93d.png) + +### 4.2 声音克隆操作 + +声音克隆可以参考[https://github.com/RVC-Boss/GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS)的方法进行克隆自己的声音，b站上也有很多教学视频，包括一些公开的权重，我同样也放了一些在夸克网盘上，大家可以自行获取，需要注意的是克隆声音的使用方式 + +1. 加载模型权重 +2. 上传参考音频 +3. 识别参考音频文本 +4. 输入目标文本，也就是输入问题 +5. 生成克隆后的声音 + +![克隆声音](https://pica.zhimg.com/v2-a93d3b3ef38d7837be404f3442d1ac93.png) + + + + + +## 五、功能迭代问题 + +### 5.1 LLM大模型更新 + +如果要加入新的LLM大模型，可以在LLM文件夹加入选择的大模型 + +我这里给出一个适用于任何大型语言模型（LLM）的中文类模板。这个模板旨在具有灵活性和易于配置，同时为不同的模型提供一致的交互接口。 + +```python +from transformers import AutoModelForCausalLM, AutoTokenizer + +class LLMTemplate: + def __init__(self, model_name_or_path, mode='offline'): + """ + 初始化LLM模板 + + Args: + model_name_or_path (str): 模型名称或路径 + mode (str, optional): 模式，'offline'表示离线模式，'api'表示使用API模式。默认为'offline'。 + """ + self.mode = mode + # 模型初始化 + self.model, self.tokenizer = self.init_model(model_name_or_path) + self.history = None + + def init_model(self, model_name_or_path): + """ + 初始化语言模型 + + Args: + model_name_or_path (str): 模型名称或路径 + + Returns: + model: 加载的语言模型 + tokenizer: 加载的tokenizer + """ + # TODO: 模型加载 + model = AutoModelForCausalLM.from_pretrained(model_name_or_path, + device_map="auto", + trust_remote_code=True).eval() + tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, trust_remote_code=True) + return model, tokenizer + + def generate(self, prompt, system_prompt=""): + """ + 生成对话响应 + + Args: + prompt (str): 对话的提示 + system_prompt (str, optional): 系统提示。默认为""。 + + Returns: + str: 对话响应 + """ + # TODO: 模型预测 + # 这一块需要尤其注意，这里的模板是借鉴了HuggingFace上的一些推理模板，需要根据自己的模型进行调整 + # 这里的模板主要是为了方便调试，因为模型预测的时候，会有很多不同的输入，所以可以根据自己的模型进行调整 + if self.mode != 'api': + try: + response, self.history = self.model.chat(self.tokenizer, prompt, history=self.history, system = system_prompt) + return response + except Exception as e: + print(e) + return "对不起，你的请求出错了，请再次尝试。\nSorry, your request has encountered an error. Please try again.\n" + else: + return self.predict_api(prompt) + + def predict_api(self, prompt): + """ + 使用API预测对话响应 + + Args: + prompt (str): 对话的提示 + + Returns: + str: 对话响应 + """ + '''暂时不写api版本,与Linly-api相类似,感兴趣可以实现一下''' + pass + + def chat(self, system_prompt, message): + response = self.generate(message, system_prompt) + self.history.append((message, response)) + return response, self.history + + def clear_history(self): + self.history = [] +``` + + + +### 5.2 克隆语音模型替换 + +克隆语音模型可以放在`GPT_SoVITS/pretrained_models`文件夹下，这样在WebUI的界面就可以看到指定模型进行修改了，非常方便 + +![](docs/WebUI3.png) + + + +### 5.3 LLM API的使用问题 + +我们是可以使用市面上的LLM的API的，需要修改LLM下的文件，我这里以ChatGPT为例，我们可以写完`generate`函数和`chat`函数即可，然后再对`__init__.py`的选择进行修改即可 + +```bash +''' +pip install openai +''' + +import os +import openai + +class ChatGPT: + def __init__(self, model_path='gpt-3.5-turbo', api_key=None, proxy_url=None, prefix_prompt='请用少于25个字回答以下问题\n\n'): + if proxy_url: + os.environ['https_proxy'] = proxy_url + os.environ['http_proxy'] = proxy_url + openai.api_key = api_key + self.model_path = model_path + self.prefix_prompt = prefix_prompt + self.history = [] + + def generate(self, message, system_prompt="You are a helpful assistant."): + self.history.append({"role": "user", "content": self.prefix_prompt + message}) + + messages = [] + if system_prompt: + messages.append({"role": "system", "content": system_prompt}) + messages.extend(self.history) + + try: + response = openai.ChatCompletion.create( + model=self.model_path, + messages=messages + ) + answer = response['choices'][0]['message']['content'] + if 'sorry' in answer.lower(): + return '对不起，你的请求出错了，请再次尝试。\nSorry, your request has encountered an error. Please try again.\n' + return answer + except Exception as e: + print(e) + return '对不起，你的请求出错了，请再次尝试。\nSorry, your request has encountered an error. Please try again.\n' + + def chat(self, system_prompt="You are a helpful assistant.", message=""): + response = self.generate(message, system_prompt) + self.history.append({"role": "assistant", "content": response}) + return response, self.history + + def clear_history(self): + self.history = [] + +if __name__ == '__main__': + API_KEY = '******' # 替换为你的API密钥 + llm = ChatGPT(model_path='gpt-3.5-turbo', api_key=API_KEY, proxy_url=None) + answer, history = llm.chat(message="如何应对压力？") + print(answer) + + from time import sleep + sleep(5) # 模拟对话中的延迟 + + answer, history = llm.chat(message="能不能更加详细一点呢") + print(answer) +``` + + + +### 5.4 Linly-Talker效果问题 + +Linly-Talker的效果当然存在一些问题，后续也会不断的更新和改进，也欢迎大家提出意见，我会努力改善，大家发现的bug也会及时解决和回复的 + + + + + +## 六、交流群问题 + +已经搞了一个WeChat，大家可以交流学习 + +大家有什么想法可以在视频下方留言或者私信我，我都会看的，如果交流群过期了，可以加我wx：`pikachu2biubiu` + +由于交流群人数满200人，所以需要我拉人，所以大家可以加我以后拉群，感谢关注！ \ No newline at end of file